Hyperparameter optimization for fine-tuning pre-trained transformer models from Hugging Face

{"value":"Large attention-based transformer models have obtained massive gains on natural language processing (NLP). However, training these gigantic networks from scratch requires a tremendous amount of data and compute. For smaller NLP datasets, a simple yet effective strategy is to use a pre-trained transformer, usually trained in an unsupervised fashion on very large datasets, and fine-tune it on the dataset of interest. [Hugging Face](https://huggingface.co/) maintains a large model zoo of these pre-trained transformers and makes them easily accessible even for novice users.\n\nHowever, fine-tuning these models still requires expert knowledge, because they’re quite sensitive to their hyperparameters, such as learning rate or batch size. In this post, we show how to optimize these hyperparameters with the open-source framework [Syne Tune](https://github.com/awslabs/syne-tune) for distributed hyperparameter optimization (HPO). Syne Tune allows us to find a better hyperparameter configuration that achieves a relative improvement between 1-4% compared to default hyperparameters on popular [GLUE](https://gluebenchmark.com/) benchmark datasets. The choice of the pre-trained model itself can also be considered a hyperparameter and therefore be automatically selected by Syne Tune. On a text classification problem, this leads to an additional boost in accuracy of approximately 5% compared to the default model. However, we can automate more decisions a user needs to make; we demonstrate this by also exposing the type of instance as a hyperparameter that we later use to deploy the model. By selecting the right instance type, we can find configurations that optimally trade off cost and latency.\n\nFor an introduction to Syne Tune please refer to [Run distributed hyperparameter and neural architecture tuning jobs with Syne Tune](https://aws.amazon.com/blogs/machine-learning/run-distributed-hyperparameter-and-neural-architecture-tuning-jobs-with-syne-tune/).\n\n\n#### **Hyperparameter optimization with Syne Tune**\n\n\nWe will use the [GLUE](https://gluebenchmark.com/) benchmark suite, which consists of nine datasets for natural language understanding tasks, such as textual entailment recognition or sentiment analysis. For that, we adapt Hugging Face’s [run_glue.py](https://github.com/huggingface/transformers/blob/master/examples/pytorch/text-classification/run_glue.py) training script. GLUE datasets come with a predefined training and evaluation set with labels as well as a hold-out test set without labels. Therefore, we split the training set into a training and validation sets (70%/30% split) and use the evaluation set as our holdout test dataset. Furthermore, we add another callback function to Hugging Face’s Trainer API that reports the validation performance after each epoch back to Syne Tune. See the following code:\n\n```\nimport transformers\n\nfrom syne_tune.report import Reporter\n\nclass SyneTuneReporter(transformers.trainer_callback.TrainerCallback):\n\n def __init__(self):\n self.report = Reporter()\n\n def on_evaluate(self, args, state, control, **kwargs):\n results = kwargs['metrics'].copy()\n results['step'] = state.global_step\n results['epoch'] = int(state.epoch)\n self.report(**results)\n```\n\nWe start with optimizing typical training hyperparameters: the learning rate, warmup ratio to increase the learning rate, and the batch size for fine-tuning a pretrained BERT [(bert-base-cased)](https://huggingface.co/bert-base-cased) model, which is the default model in the Hugging Face example. See the following code:\n\n```\nconfig_space = dict()\nconfig_space['learning_rate'] = loguniform(1e-6, 1e-4)\nconfig_space['per_device_train_batch_size'] = randint(16, 48)\nconfig_space['warmup_ratio'] = uniform(0, 0.5)\n```\n\nAs our HPO method, we use [ASHA](https://arxiv.org/abs/1810.05934v5), which samples hyperparameter configurations uniformly at random and iteratively stops the evaluation of poorly performing configurations. Although more sophisticated methods utilize a probabilistic model of the objective function, such as BO or MoBster exists, we use ASHA for this post because it comes without any assumptions on the search space.\n\nIn the following figure, we compare the relative improvement in test error over Hugging Faces’ default hyperparameter configuration.\n\n[](https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2022/06/16/ML-9045-improvement_over_default.png)\n\nFor simplicity, we limit the comparison to MRPC, COLA, and STSB, but we also observe similar improvements also for other GLUE datasets. For each dataset, we run ASHA on a single ml.g4dn.xlarge Amazon SageMaker instance with a runtime budget of 1,800 seconds, which corresponds to approximately 13, 7, and 9 full function evaluations on these datasets, respectively. To account for the intrinsic randomness of the training process, for example caused by the mini-batch sampling, we run both ASHA and the default configuration for five repetitions with an independent seed for the random number generator and report the average and standard deviation of the relative improvement across the repetitions. We can see that, across all datasets, we can in fact improve predictive performance by 1-3% relative to the performance of the carefully selected default configuration.\n\n\n#### **Automate selecting the pre-trained model**\n\n\nWe can use HPO to not only find hyperparameters, but also automatically select the right pre-trained model. Why do we want to do this? Because no a single model outperforms across all datasets, we have to select the right model for a specific dataset. To demonstrate this, we evaluate a range of popular transformer models from Hugging Face. For each dataset, we rank each model by its test performance. The ranking across datasets (see the following Figure) changes and not one single model that scores the highest on every dataset. As reference we also show the absolute test performance of each model and dataset in the following figure.\n\n\n\nTo automatically select the right model, we can cast the choice of the model as categorical parameters and add this to our hyperparameter search space:\n\n```\nconfig_space['model_name_or_path'] = choice(['bert-base-cased', 'bert-base-uncased', 'distilbert-base-uncased', 'distilbert-base-cased', 'roberta-base', 'albert-base-v2', 'distilroberta-base', 'xlnet-base-cased', 'albert-base-v1'])\n```\n\nAlthough the search space is now larger, that doesn’t necessarily mean that it’s harder to optimize. The following figure shows the test error of the best observed configuration (based on the validation error) on the MRPC dataset of ASHA over time when we search in the original space (blue line) (with a BERT-base-cased pre-trained model) or in the new augmented search space (orange line). Given the same budget, ASHA is able to find a much better performing hyperparameter configuration in the extended search space than in the smaller space.\n\n[](https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2022/06/16/ML-9045-test_error_mrpc.png)\n\n\n#### **Automate selecting the instance type**\n\n\nIn practice, we might not just care about optimizing predictive performance. We might also care about other objectives, such as training time, (dollar) cost, latency, or fairness metrics. We also need to make other choices beyond the hyperparameters of the model, for example selecting the instance type.\n\nAlthough the instance type doesn’t influence predictive performance, it strongly impacts the (dollar) cost, training runtime, and latency. The latter becomes particularly important when the model is deployed. We can phrase HPO as a multi-objective optimization problem, where we aim to optimize multiple objectives simultaneously. However, no single solution optimizes all metrics at the same time. Instead, we aim to find a set of configurations that optimally trade off one objective vs. the other. This is called the [Pareto set](https://en.wikipedia.org/wiki/Pareto_front).\n\nTo analyze this setting further, we add the choice of the instance type as an additional categorical hyperparameter to our search space:\n\n```\nconfig_space['st_instance_type'] = choice(['ml.g4dn.xlarge', 'ml.g4dn.2xlarge', 'ml.p2.xlarge', 'ml.g4dn.4xlarge', 'ml.g4dn.8xlarge', 'ml.p3.2xlarge'])\n```\n\nWe use [MO-ASHA](https://arxiv.org/abs/2106.12639), which adapts ASHA to the multi-objective scenario by using non-dominated sorting. In each iteration, MO-ASHA also selects for each configuration also the type of instance we want to evaluate it on. To run HPO on a heterogeneous set of instances, Syne Tune provides the SageMaker backend. With this backend, each trial is evaluated as an independent SageMaker training job on its own instance. The number of workers defines how many SageMaker jobs we run in parallel at a given time. The optimizer itself, MO-ASHA in our case, runs either on the local machine, a Sagemaker notebook or on a separate SageMaker training job. See the following code:\n\n```\nbackend = SageMakerBackend(\n sm_estimator=HuggingFace(\n entry_point=str('run_glue.py'),\n source_dir=os.getcwd(),\n base_job_name='glue-moasha',\n # instance-type given here are override by Syne Tune with values sampled from `st_instance_type`.\n instance_type='ml.m5.large',\n instance_count=1,\n py_version=\"py38\",\n pytorch_version='1.9',\n transformers_version='4.12',\n max_run=3600,\n role=get_execution_role(),\n ),\n)\n```\n\nThe following figures show the latency vs test error on the left and latency vs cost on the right for random configurations sampled by MO-ASHA (we limit the axis for visibility) on the MRPC dataset after running it for 10,800 seconds on four workers. Color indicates the instance type. The dashed black line represents the Pareto set, meaning the set of points that dominate all other points in at least one objective.\n\n[](https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2022/06/16/ml-9045-mo_latency_cost.png)\n\nWe can observe a trade-off between latency and test error, meaning the best configuration with the lowest test error doesn’t achieve the lowest latency. Based on your preference, you can select a hyperparameter configuration that sacrifices on test performance but comes with a smaller latency. We also see the trade off between latency and cost. By using a smaller ml.g4dn.xlarge instance, for example, we only marginally increase latency, but pay a fourth of the cost of an ml.g4dn.8xlarge instance.\n\n\n#### **Conclusion**\n\n\nIn this post, we discussed hyperparameter optimization for fine-tuning pre-trained transformer models from Hugging Face based on Syne Tune. We saw that by optimizing hyperparameters such as learning rate, batch size, and the warm-up ratio, we can improve upon the carefully chosen default configuration. We can also extend this by automatically selecting the pre-trained model via hyperparameter optimization.\n\nWith the help of Syne Tune’s SageMaker backend, we can treat the instance type as an hyperparameter. Although the instance type doesn’t affect performance, it has a significant impact on the latency and cost. Therefore, by casting HPO as a multi-objective optimization problem, we’re able to find a set of configurations that optimally trade off one objective vs. the other. If you want to try this out yourself, check out our [example notebook](https://github.com/awslabs/syne-tune/blob/hf_blog_post/hf_blog_post/example_syne_tune_for_hf.ipynb).\n\n\n#### **About the Authors**\n\n\n[](https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2021/11/19/Aaron-Klein.jpg)\n\n**Aaron Klein** is an Applied Scientist at AWS.\n\n\n\n**Matthias Seeger** is a Principal Applied Scientist at AWS.\n\n\n\n**David Salinas** is a Sr Applied Scientist at AWS.\n\n[](https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2021/12/20/Emily-Webber.png)\n\n**Emily Webber** joined AWS just after SageMaker launched, and has been trying to tell the world about it ever since! Outside of building new ML experiences for customers, Emily enjoys meditating and studying Tibetan Buddhism.\n\n\n\n**Cedric Archambeau** is a Principal Applied Scientist at AWS and Fellow of the European Lab for Learning and Intelligent Systems.","render":"<p>Large attention-based transformer models have obtained massive gains on natural language processing (NLP). However, training these gigantic networks from scratch requires a tremendous amount of data and compute. For smaller NLP datasets, a simple yet effective strategy is to use a pre-trained transformer, usually trained in an unsupervised fashion on very large datasets, and fine-tune it on the dataset of interest. <a href=\"https://huggingface.co/\" target=\"_blank\">Hugging Face</a> maintains a large model zoo of these pre-trained transformers and makes them easily accessible even for novice users.</p>\n<p>However, fine-tuning these models still requires expert knowledge, because they’re quite sensitive to their hyperparameters, such as learning rate or batch size. In this post, we show how to optimize these hyperparameters with the open-source framework <a href=\"https://github.com/awslabs/syne-tune\" target=\"_blank\">Syne Tune</a> for distributed hyperparameter optimization (HPO). Syne Tune allows us to find a better hyperparameter configuration that achieves a relative improvement between 1-4% compared to default hyperparameters on popular <a href=\"https://gluebenchmark.com/\" target=\"_blank\">GLUE</a> benchmark datasets. The choice of the pre-trained model itself can also be considered a hyperparameter and therefore be automatically selected by Syne Tune. On a text classification problem, this leads to an additional boost in accuracy of approximately 5% compared to the default model. However, we can automate more decisions a user needs to make; we demonstrate this by also exposing the type of instance as a hyperparameter that we later use to deploy the model. By selecting the right instance type, we can find configurations that optimally trade off cost and latency.</p>\n<p>For an introduction to Syne Tune please refer to <a href=\"https://aws.amazon.com/blogs/machine-learning/run-distributed-hyperparameter-and-neural-architecture-tuning-jobs-with-syne-tune/\" target=\"_blank\">Run distributed hyperparameter and neural architecture tuning jobs with Syne Tune</a>.</p>\n<h4><a id=\"Hyperparameter_optimization_with_Syne_Tune_7\"></a><strong>Hyperparameter optimization with Syne Tune</strong></h4>\n<p>We will use the <a href=\"https://gluebenchmark.com/\" target=\"_blank\">GLUE</a> benchmark suite, which consists of nine datasets for natural language understanding tasks, such as textual entailment recognition or sentiment analysis. For that, we adapt Hugging Face’s <a href=\"https://github.com/huggingface/transformers/blob/master/examples/pytorch/text-classification/run_glue.py\" target=\"_blank\">run_glue.py</a> training script. GLUE datasets come with a predefined training and evaluation set with labels as well as a hold-out test set without labels. Therefore, we split the training set into a training and validation sets (70%/30% split) and use the evaluation set as our holdout test dataset. Furthermore, we add another callback function to Hugging Face’s Trainer API that reports the validation performance after each epoch back to Syne Tune. See the following code:</p>\n<pre><code class=\"lang-\">import transformers\n\nfrom syne_tune.report import Reporter\n\nclass SyneTuneReporter(transformers.trainer_callback.TrainerCallback):\n\n def __init__(self):\n self.report = Reporter()\n\n def on_evaluate(self, args, state, control, **kwargs):\n results = kwargs['metrics'].copy()\n results['step'] = state.global_step\n results['epoch'] = int(state.epoch)\n self.report(**results)\n</code></pre>\n<p>We start with optimizing typical training hyperparameters: the learning rate, warmup ratio to increase the learning rate, and the batch size for fine-tuning a pretrained BERT <a href=\"https://huggingface.co/bert-base-cased\" target=\"_blank\">(bert-base-cased)</a> model, which is the default model in the Hugging Face example. See the following code:</p>\n<pre><code class=\"lang-\">config_space = dict()\nconfig_space['learning_rate'] = loguniform(1e-6, 1e-4)\nconfig_space['per_device_train_batch_size'] = randint(16, 48)\nconfig_space['warmup_ratio'] = uniform(0, 0.5)\n</code></pre>\n<p>As our HPO method, we use <a href=\"https://arxiv.org/abs/1810.05934v5\" target=\"_blank\">ASHA</a>, which samples hyperparameter configurations uniformly at random and iteratively stops the evaluation of poorly performing configurations. Although more sophisticated methods utilize a probabilistic model of the objective function, such as BO or MoBster exists, we use ASHA for this post because it comes without any assumptions on the search space.</p>\n<p>In the following figure, we compare the relative improvement in test error over Hugging Faces’ default hyperparameter configuration.</p>\n<p><a href=\"https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2022/06/16/ML-9045-improvement_over_default.png\" target=\"_blank\"><img 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bH/pVplpKzPbJEVLZoSkqHlEdkiWR4g8+XlagAACCCCAAAIIIIAAAggg8CgChMg09D/O9zW31ExppAjJrJbMSLn3rTKlHELkUb9yx0UAAQQQQAABBBBAAAEEEHhCgBAp4bjPrQkQIk9+nhYggAACCCCAAAIIIIAAAgg8igAhsrUGUH4hQIg86lfuuAgggAACCCCAAAIIIIAAAk8IECIlHPe5NQFC5MnP0wIEEEAAAQQQQAABBBBAAIFHESBEttYAyi8ECJFH/codFwEEEEAAAQQQQAABBBBA4AkBQqSE4z63JkCIPPl5WoAAAggggAACCCCAAAIIIPAoAoTI1hpA+YUAIfKoX7njIoAAAggggAACCCCAAAIIPCFAiJRw3OfWBAiRJz9PCxBAAAEEEEAAAQQQQAABBB5FgBDZWgMovxAgRB71K3dcBBBAAAEEEEAAAQQQQACBJwQIkRKO+9yaACHy5OdpAQIIIIAAAggggAACCCCAwKMIECJbawDlFwKEyKN+5Y6LAAIIIIAAAggggAACCCDwhAAhUsJxn1sTIESe/DwtQAABBBBAAAEEEEAAAQQQeBQBQmRrDaD8QoAQedSv3HERQAABBBBAAAEEEEAAAQSeECBESjjuc2sChMiTn6cFCCCAAAIIIIAAAggggAACjyJAiGytAZRfCBAij/qVOy4CCCCAAAIIIIAAAggggMATAoRICcd9bk2AEHny87QAAQQQQAABBBBAAAEEEEDgUQQIka01gPILAULkUb9yx0UAAQQQQAABBBBAAAEEEHhCgBAp4bjPrQkQIk9+nhYggAACCCCAAAIIIIAAAgg8igAhsrUGUH4hQIg86lfuuAgggAACCCCAAAIIIIAAAk8IECIlHPe5NQFC5MnP0wIEEEAAAQQQQAABBBBAAIFHESBEttYAyi8ECJFH/codFwEEEEAAAQQQQAABBBBA4AkBQqSE4z63JkCIPPl5WoAAAggggAACCCCAAAIIIPAoAoTI1hpA+YUAIfKoX7njribw5z//+WVE/MOcy0wIIIAAAggggAACCCAwHgFCpITjPrcmQIiMd33ZXYsIkd2dMhVGAAEEEEAAAQQQQODZBAiRrTWA8gsBQuTZP2M73osAIXIvko6DAAIIIIAAAggggED/BAiREo773JoAIdL/9WL4GhIiw59iDUQAAQQQQAABBBBA4BUBQmRrDaD8QoAQefWz9GUrAoTIVuSViwACCCCAAAIIIIBAewKESAnHfW5NgBBp//tX4owAITID4k8EEEAAAQQQQAABBAYmQIhsrQGUXwgQIgNfaPbSNEJkL2dKPRFAAAEEEEAAAQQQuJ0AIVLCcZ9bEyBEbv89O8KNBAiRGwHaHQEEEEAAAQQQQACBHREgRLbWAMovBAiRHV04Rq0qITLqmdUuBBBAAAEEEEAAAQSeEiBESjjuc2sChMjT36cljQkQIo2BKw4BBBBAAAEEEEAAgQ0JECJbawDlFwKEyIYXAkX/jQAhoicggAACCCCAAAIIIHAcAoRICcd9bk2AEDnOdafblhIi3Z4aFUMAAQQQQAABBBBA4O4ECJGtNYDyCwFC5O4/bwe8lgAhci0x2yOAAAIIIIAAAgggsF8ChEgJx31uTYAQ2e91ZJiaEyLDnEoNQQABBBBAAAEEEEDgIgFCZGsNoPxCgBC5+HO1waMJECKPJuz4CCCAAAIIIIAAAgj0Q4AQKeG4z60JECL9XBcOWxNC5LCnXsMRQAABBBBAAAEEDkiAENlaAyi/ECBEDngB6q3JhEhvZ0R9EEAAAQQQQAABBBB4HAFCpITjPrcmQIg87nfuyCsJECIrQdkMAQQQQAABBBBAAIEBCBAiW2sA5RcChMgAF5S9N4EQ2fsZVH8EEEAAAQQQQAABBNYTIERKOO5zawKEyPrfrS0fRIAQeRBYh0UAAQQQQAABBBBAoEMChMjWGkD5hQAh0uEF4mhVIkSOdsa1FwEEEEAAAQQQQODIBAiREo773JoAIXLkK1EnbSdEOjkRqoEAAggggAACCCCAQAMChMjWGkD5hQAh0uAHr4hlAoTIMh9rEUAAAQQQQAABBBAYiQAhUsJxn1sTIERGurLstC2EyE5PnGojgAACCCCAAAIIIPAMAoTI1hpA+YUAIfKMH7Bd7kuAELkvT0dDAAEEEEAAAQQQQKBnAoRICcd9bk2AEOn5SnGQuhEiBznRmokAAggggAACCCCAwMuXLwmRrTWA8gsBQsQlaXMChMjmp0AFEEAAAQQQQAABBBBoRoAQKeG4z60JECLNfvYKOkeAEDlHxnIEEEAAAQQQQAABBMYjQIhsrQGUXwgQIuNdX3bXIkJkd6dMhRFAAAEEEEAAAQQQeDYBQqSE4z63JkCIPPtnbMd7ESBE7kXScRBAAAEEEEAAAQQQ6J8AIbK1BlB+IUCI9H+9GL6GhMjwp1gDEUAAAQQQQAABBBB4RYAQKeG4z60JECKvfpa+bEWAENmKvHIRQAABBBBAAAEEEGhPgBDZWgMovxAgRNr//pU4I0CIzID4EwEEEEAAAQQQQACBgQkQIiUc97k1AUJk4AvNXppGiOzlTKknAggggAACCCCAAAK3EyBEttYAyi8ECJHbf8+OcCMBQuRGgHZHAAEEEEAAAQQQQGBHBAiREo773JoAIbKjC8eoVSVERj2z2oUAAggggAACCCCAwFMChMjWGkD5hQAh8vT3aUljAoRIY+CKQwABBBBAAAEEEEBgQwKESAnHfW5NgBDZ8EKg6L8RIET0BAQQQAABBBBAAAEEjkOAENlaAyi/ECBEjnPd6balhEi3p0bFEEAAAQQQQAABBBC4OwFCpITjPrcmQIjc/eftgNcSIESuJWZ7BBBAAAEEEEAAAQT2S4AQ2VoDKL8QIET2ex0ZpuaEyDCnUkMQQAABBBBAAAEEELhIgBAp4bjPrQkQIhd/rjZ4NAFC5NGEHR8BBBBAAAEEEEAAgX4IECJbawDlFwKESD/XhcPWhBA57KnXcAQQQAABBBBAAIEDEiBESjjuc2sChMgBL0C9NZkQ6e2MqA8CCCCAAAIIIIAAAo8jQIhsrQGUXwgQIo/7nTvySgKEyEpQNkMAAQQQQAABBBBAYAAChEgJx31uTYAQGeCCsvcmECJ7P4PqjwACCCCAAAIIIIDAegKEyNYaQPmFACGy/ndrywcRIEQeBNZhEUAAAQQQQAABBBDokAAhUsJxn1sTIEQ6vEAcrUqEyNHOuPYigAACCCCAAAIIHJkAIbK1BlB+IUCIHPlK1EnbCZFOToRqIIAAAggggAACCCDQgAAhUsJxn1sTIEQa/OAVsUyAEFnmYy0CCCCAAAIIIIAAAiMRIES21gDKLwQIkZGuLDttCyGy0xOn2ggggAACCCCAAAIIPIMAIVLCcZ9bEyBEnvEDtst9CRAi9+XpaAgggAACCCCAAAII9EyAENlaAyi/ECBEer5SHKRuhMhBTrRmIoAAAggggAACCCDw8uVLQqSE4z63JkCIuCRtToAQ2fwUqAACCCCAAAIIIIAAAs0IECJbawDlFwKESLOfvYLOESBEzpGxHAEEEEAAAQQQQACB8QgQIiUc97k1AUJkvOvL7lpEiOzulKkwAggggAACCCCAAALPJkCIbK0BlF8IECLP/hnb8V4ECJF7kXQcBBBAAAEEEEAAAQT6J0CIlHD8eJ8/i4jfRsTPr2z6v125/drNCZH+rxfD15AQGf4UayACCCCAAAIIIIAAAq8IECJrw/WxtvvsJEN+dBIif4iI/H5pyv3+dGmjZ64nRF79LH3ZigAhshV55SKAAAIIIIAAAggg0J4AIfLM6P1Ou/0xIn5y47F+GREpNH4XESkscl46ZmZ4zKVGZon8JSLyWLXpxxGRdX154di1fdcuI0Ta//6VOCNAiMyA+BMBBBBAAAEEEEAAgYEJECJrw/X7b5e3q9wqGFJ+pKiYZnekvFiSG1lmlj2fikjJdSlXpnMuS4lS229+nOf+TYgMfKHZS9MIkb2cKfVEAAEEEEAAAQQQQOB2AoTIc8P32/bLDI4UE7cIkczmyP1TgMynzPioHbuUW8sESSFybqpllZzb9rnLCZHbf8+OcCMBQuRGgHZHAAEEEEAAAQQQQGBHBAiR54bvt+2Xt7jcegtKZoHkMc5NKUSynOlUJEo+UHU+ZfZHTa7ksppcme9/69+EyI4uHKNWlRAZ9cxqFwIIIIAAAggggAACTwkQIreG8dfvn+IhhUTKiueKhpLpkbe1nJuKcJneTlMyR2pCJI813bYcN4/zyFtlSjmEyNPfpyWNCRAijYErDgEEEEAAAQQQQACBDQkQIiUcb/OZ2RZFYtwiRFJQpExZEhXl+NPX6haRsvaWmTz+/AGsjyJFiGx4IVD03wgQInoCAggggAACCCCAAALHIUCIPCq8rx93egtLERYpKa6dSvZHPtvj3JTPBKlJk7zVpiZS5s8QKfLkOfU7V6el5YTIca473baUEOn21KgYAggggAACCCCAAAJ3J0CILIXo912X8mJ6q8otQiSzNlJ21DI9Sq0zEyW3KRkpZXnuk1JkOs3rluuyjCXhMt1/zfcUHkvzP5/q+zI7pQmBLQgQIltQVyYCCCCAAAIIIIAAAtsQIETWhPK3bzO9VaYc7RYhkkJjrRCZZ35k+ZkhkuWnoMnvc/GRy5Ye2FracM1n1nfVTIhsczFQ6suXhIhegAACCCCAAAIIIIDAcQiMLkRej4ict55SPswfWHoPITJ9Psi8jSVDpCZEctusT+4/f7NMuVWmtjzFyVJWyrwO079XyZCUJoTIcS5AvbWUEOntjKgPAggggAACCCCAAAKPIzCCEPloGnXPvn8YETl/GhGfRMSL2foWf9ZuR8lytxYi59peu1Um21CkTgqTlCxzwXPueGX50u0yuc4tM4/7nTvySgKEyEpQNkMAAQQQQAABBBBAYAACIwiRr0vEfeEzMx5SirScarfKlPJvESK3PEOklF/7rN0qU8sYWWpX7bhrlqUU+WsWiQyRAa4sO20CIbLTE6faCCCAAAIIIIAAAgg8g8AIQuSbNdH2aZvPr9j2HpuWrIrasW4RIuUtM0u3r2QWRwqGlBxrppr4yP2ynrXniZy7FWdNWbVtCJFn/IDtcl8ChMh9eToaAggggAACCCCAAAI9ExhBiKzNEHk7ItZuWwvYr12WgiEffprZHLW5PFNjus3aMsrzQZZkR5EmS88ZmZZXu1Um12c9a/IjZUy28V4TIdLzleIgdSNEDnKiNRMBBBBAAAEEEEAAgZcv//r8ynKnwumtqPeKbx9ynC8i4svZ/P3s7/n6/PvbiMjtfvOQWj3voOVNMc+RCik5UlTMX6k7rUm5rWa67Nz32q0yuW3eGnMuyyTfULNWtpwrd7qcEHFJ2pwAIbL5KVABBBBAAAEEEEAAAQSaEdhjhshrpzedfBURP6ycv4uIj6fRdwffbxEiWf0UFSk9alM+8DTX1251mW9/7laZ3G5JiKQMIUSa/VQV1IIAIdKCsjIQQAABBBBAAAEEEOiDwB6FyDSgz1s5MvvjjYU5BUqPUxEimWlRm1JGpNA4lwWSb35J6ZHbzae8nSXXrck+Samy9CySPI5bZvr4varFgwkQIg8G7PAIIIAAAggggAACCHREYO9CJEVAZorsbSoZHCkbzsmIvI0l1y+JjRQVKTSmr8BNCZKyJYXJpSlly6Usklxf2ybLnpZ7qaxL690y09GF4ahVIUSOeua1GwEEEEAAAQQQQOCIBEYQIu9eirQ7Wp+SIgVGCosyp/DIZXPpkGIjl+dbXpamFCq5TcqNlBT5/VzWyfQ4uU2WXcswubRd7nMuc2W67zXfCZEjXoE6azMh0tkJUR0EEEAAAQQQQAABBB5IYAQhck3Qbdu/E0jZci475e9b/e1bipwULZkRkqLm3tkhWQoh8sAfukOvI0CIrONkKwQQQAABBBBAAAEERiBwNCHS8rW7c6nQ299rbqmZ1jlFSN7GkxLlnrfKlDIIkQhQUWcAACAASURBVBGuKDtvAyGy8xOo+ggggAACCCCAAAIIXEHgaEIk3zZj6pMAIXLFD9emjyFAiDyGq6MigAACCCCAAAIIINAjgb0IkczsyLfJ3DJ/f9q/Tx2gVoRIj1eIg9WJEDnYCddcBBBAAAEEEEAAgUMT2IsQycyOH05zfr92LvumUDH1SYAQOfSlqI/GEyJ9nAe1QAABBBBAAAEEEECgBYG9CJF8te4Hd4jjM0vE1CcBQqTFL14ZiwQIkUU8ViKAAAIIIIAAAgggMBSBvQiRLyLip3eI4z1D5A4QH3QIQmSoS8s+G0OI7PO8qTUCCCCAAAIIIIAAAs8hsBch8tqdgvB7HedO1XGYCQFC5Dm/YPvclQAhclecDoYAAggggAACCCCAQNcE9iJEJnHzs7++EREfPXtvOz6aACHS9aXiGJUjRI5xnrUSAQQQQAABBBBAAIEkcCQh8m5EfPnoqN7xn02AEHFN2pwAIbL5KVABBBBAAAEEEEAAAQSaERhBiGTWx6X5k9Mrd/P1vaY+CRAizX72CjpHgBA5R8ZyBBBAAAEEEEAAAQTGIzCCEMkHpebbY8qrdWufZb23zPQpQ7JWhMh415fdtYgQ2d0pU2EEEEAAAQQQQAABBJ5NYAQh8k1EZAbI25U5b5P5t4jI1/a+FxFv9esDDl8zQuTZP2M73osAIXIvko6DAAIIIIAAAggggED/BEYQIik71ryS98OIePPw2qFfAIRI/9eL4WtIiAx/ijUQAQQQQAABBBBAAIFXBEYQIpkZ8mJlnO8tMytBbbAZIfLqZ+nLVgQIka3IKxcBBBBAAAEEEEAAgfYERhAi18TuH1+zsW2bEiBE2v/+lTgjQIjMgPgTAQQQQAABBBBAAIGBCRxNiOSzRkx9EiBEBr7Q7KVphMhezpR6IoAAAggggAACCCBwO4EjCZF8zsiXfboAtfKWmdt/zI5wOwFC5HaGjoAAAggggAACCCCAwF4IjCBEvo2IpTlftVvmfNOMqU8CMkT2ctUYuJ6EyMAnV9MQQAABBBBAAAEEEJgRGEGIfBcRPyzMuT7fRPN+nx5ArU4ECJHZj9Of7QkQIu2ZKxEBBBBAAAEEEEAAga0IjCBEUnZ8QCvsngAhstVVQLmvCBAir1D4ggACCCCAAAIIIIDA8ARGECJfRMSbu9cBGkCIDH+56b+BhEj/50gNEUAAAQQQQAABBBC4F4ERhMhrXMIQBAiRe/2qHefZBAiRZ6OzIwIIIIAAAggggAACuyMwghC5ZAM+joiPIsIDVS+R2nY9IbK7y8d4FSZExjunWoQAAggggAACCCCAwDkCRxAimUGS89snMbJt2K/0cwQIkXO/UsubESBEmqFWEAIIIIAAAggggAACmxM4ghApAXhKkXw9r6lPAoTI5pcDFSBE9AEEEEAAAQQQQAABBI5DYBQh8npEfBIRX5+kR4qP+fx9RHzZpwtQq4ggRI5z3em2pYRIt6dGxRBAAAEEEEAAAQQQuDuBUYTIdxHxw4X5N6dbZ9iHPgkQInf/eTvgtQQIkWuJ2R4BBBBAAAEEEEAAgf0SGEGI/CoivoqItyZxfj5ItUx5q8zPPD+k4Oj2kxDZ73VkmJoTIsOcSg1BAAEEEEAAAQQQQOAigRGEyOeVED9vn5lPKUYyS8TUJwFC5OLP1QaPJkCIPJqw4yOAAAIIIIAAAggg0A+BEYTINBukhPpflC+zzw9nf/uzHwKESD/XhcPWhBA57KnXcAQQQAABBBBAAIEDEhhBiHxUienzNpr3Kss/qCyzqA8ChMgBL0C9NZkQ6e2MqA8CCCCAAAIIIIAAAo8jMJIQSQGSb5vJ6cent8z8h9Pf5aN2e01Z53NbAoTI437njrySACGyEpTNEEAAAQQQQAABBBAYgMAIQuT9iEjRka/V/e+TmP6PJynyXyPindM2tWeLTHbxdUMChMgAF5S9N4EQ2fsZVH8EEEAAAQQQQAABBNYTGEGIZAz/29Mrd6fC4yenZSlKyvzmhgG/opcJECLrf7e2fBABQuRBYB0WAQQQQAABBBBAAIEOCYwiRM6F2ilFPouIfMjqu+c2srwLAoRIhxeIo1WJEDnaGddeBBBAAAEEEEAAgSMT2IMQydflZubH77sI21XiUQQIkSNfiTppOyHSyYlQDQQQQAABBBBAAAEEGhDYgxDJV+X+cLrtxS0vj9IR2x+XEGnwg1fEMgFCZJmPtQgggAACCCCAAAIIjERgD0Lk04h4OyLy4am16evawjPLvHb3DJgOFhMiI11ZdtoWQmSnJ061EUAAAQQQQAABBBB4BoG9CJH563On8fs30z8ufP/2wnqrtyNAiDzjB2yX+xIgRO7L09EQQAABBBBAAAEEEOiZwB6EyM8jIrNA/uVMrL42QySfRZJvmzH1SYAQ6flKcZC6ESIHOdGaiQACCCCAAAIIIIDAy5cv9yBEMnz/3eQ5IilApnNKjsz8uDSX7frUAWpFiLgkbU6AENn8FKgAAggggAACCCCAAALNCOxFiKQuyEyRfIVu3iLz3WTOB65O/z73Pbdzy0y/4oUQafazV9A5AoTIOTKWI4AAAggggAACCCAwHoE9CZFzofzaW2Zyf7fMnKO4/XJCZLzry+5aRIjs7pSpMAIIIIAAAggggAACzyYwghC55qGqmT1i6pMAIfLsn7Ed70WAELkXScdBAAEEEEAAAQQQQKB/AiMIkXxYqmn/BAiR/q8Xw9eQEBn+FGsgAggggAACCCCAAAKvCIwgRKYq4M2IeCci8rNMP42IF+UPn90SIERe/Sx92YoAIbIVeeUigAACCCCAAAIIINCewChCJAXIl6dnhORzQj6ahP1vRcQXJ1EyWexrZwQIkfa/fyXOCBAiMyD+RAABBBBAAAEEEEBgYAIjCJG8ZSafDZLPEvk4It6fCZES9+e618sfPrsjQIgMfKHZS9MIkb2cKfVEAAEEEEAAAQQQQOB2AiMIkRQdH87C+2mGyHTVJ9M/fO+KACFy++/ZEW4kQIjcCNDuCCCAAAIIIIAAAgjsiMAIQuTTSlh/TojkrTOmPgnsSoj80//+316ax2PwH/+3/+dlRPzDnMuc6/HOdZ5TEwIIIIAAAggggMCxCYwgRGryo7YsNYAMkT5lSNaKECFZNhcPhMiY4uOc0Dr28K/1CCCAAAIIIIAAAiMIkZrkqAmRfNbI5/36gMPXjBAhRAgRfaBpH/BPAAQQQAABBBBAAIFjExhBiOQzRH490wm5bD7lW2g+mC/0dzcECBHBcNNguJY1IENEhsix/0mg9QgggAACCCCAwLEIjCBEyltmfh8Rv4iIfAVvZoi8OH1/LyK+Ps3dRP8q8oQAIUKIECL6QNM+cKzhXmsRQAABBBBAAAEE5gRGECIZWf8sIn6IiO/PzPlK3jeehOAW9ESAEBEMNw2GZYgcKxukdr7nA6K/EUAAAQQQQAABBI5FYBQhkoH9jyLis5MYSTlS5trtMz2JAHX5GwFChBAhRPSBpn3gWMO91iKAAAIIIIAAAgjMCYwkRKZiIbNBZIRMifT/nRARDDcNhmsZA54hcqyskfmA6G8EEEAAAQQQQACBYxEYVYjUwv981kg+T8TUJwFChBAhRPSBpn3gWMO91iKAAAIIIIAAAgjMCRxJiLwdEfmmGVOfBAgRwXDTYFiGyLGyQWrnez4g+hsBBBBAAAEEEEDgWAT2IkQys+PW+XNvmunThJxqRYgQIoSIPtC0DxxruNdaBBBAAAEEEEAAgTmBvQiR7yZvjykPS51+nnu7zHR5bv9t10rg2JUjRATDTYPhWsaAZ4gcK2tkPiD6GwEEEEAAAQQQQOBYBPYiRPK1uV9FxK8i4v3K/EVE5PzhaZvcrsy5LPfPDJFcZuqTACFCiBAi+kDTPnCs4V5rEUAAAQQQQAABBOYE9iJEUoa8eSaOf2ul6MjX775+5hgWb0+AEBEMNw2GZYgcKxukdr7nA6K/EUAAAQQQQAABBI5FYC9CJLNCXpyJ2T85s7y2+KPaQsu6IECIECKEiD7QtA8ca7jXWgQQQAABBBBAAIE5gb0IkaWI/dOllbN112w729WfDyZAiAiGmwbDtYwBzxA5VtbIfED0NwIIIIAAAggggMCxCIwgRK7J+rgmm+TB8b/DzwgQIoQIIaIPNO0DxxrutRYBBBBAAAEEEEBgTmAEIZJZH/9hFlzX/nzt9GDV2jrLtidAiAiGmwbDMkSOlQ1SO9/zAdHfCCCAAAIIIIAAAsciMIIQ+XlEfL1CinwZER9sH/erwRkChAghQojoA037wLGGe61FAAEEEEAAAQQQmBMYQYhkfP2HiPg+Iv6viHgnIn56mvN73lLzbUSkEDH1S4AQEQw3DYZrGQOeIXKsrJH5gOhvBBBAAAEEEEAAgWMRGEWI5O0wKUV+OImRlCNlzmXfeOVuvybkVDNChBAhRPSBpn3gWMO91iKAAAIIIIAAAgjMCYwiREq0/8uI+NNJjKQI+SoiflVW+uyaACEiGG4aDMsQOVY2SO18zwdEfyOAAAIIIIAAAggci8BoQqTriF/lFgkQIoQIIaIPNO0DxxrutRYBBBBAAAEEEEBgToAQWYzRrWxIgBARDDcNhmsZA54hcqyskfmA6G8EEEAAAQQQQACBYxEgRBpG/IpaJECIECKEiD7QtA8ca7jXWgQQQAABBBBAAIE5AUJkMUa3siEBQkQw3DQYliFyrGyQ2vmeD4j+RgABBBBAAAEEEDgWAUKkYcSvqEUChAghQojoA037wLGGe61FAAEEEEAAAQQQmBMgRBZjdCsbEiBEBMNNg+FaxoBniBwra2Q+IPobAQQQQAABBBBA4FgECJGGEb+iFgkQIoQIIaIPNO0DxxrutRYBBBBAAAEEEEBgToAQWYzRh135s4j4bUT8/MoW/tuV21+zOSEiGG4aDMsQOVY2SO18zwdEfyOAAAIIIIAAAggciwAhck3IPsa2n51kyI9OQuQPEZHfL025358ubXTDekKEECFE9IGmfeBYw73WIoAAAggggAACCMwJECI3RPArd03ZkNkYKR6m87XZGbXifnk65u8iIoVFzj+pbXhalhkec6mR9fhLROSxatOPI+KPEfHywrFr+16zjBARDDcNhmsZA54hcqyskfmA6G8EEEAAAQQQQACBYxEgRK4J2a/fNmVCSor8nE4pJlIwpGh47pTHzf2n2R1ZzpLcyDJTzsynIlJyXcqV6ZzLUqLU9psf55a/CRFChBDRB5r2gWMN91qLAAIIIIAAAgggMCcwghB5PyK+j4hf3xKNP2jfFBaZFVLL2kjJcE5QXKpOZnPkvnPRkvtlxkeum5eZf+fyWiZICpFzUy2r5Ny2tywnRATDTYNhGSLHygapne/5gOhvBBBAAAEEEEAAgWMRGEGIfBMRP0TE57dE4w/aNwVEzjXhkKIk1z0nSySzQJb2y+Pm8adTkSj5QNX5lNkfNbmSy/JYc7ky3/8efxMihAghog807QPHGu61FgEEEEAAAQQQQGBOYAQh8mlEvLUyIn9n5Xb32ixvPUl5UZMQKTRq4uJS2SXTI499birHnt5OUzJHanXJY023LcfN4zz6VplSFiEiGG4aDNcyBjxD5FhZI/MB0d8IIIAAAggggAACxyIwghD5MCLeLFH1hc9vL6xvuTplSM61W1iW6pGCIvdbEhUl+2T64NYiUmrl1TJY8vjzB7Au1evWdYQIIUKI6ANN+8CxhnutRQABBBBAAAEEEJgTGEGIZCCeUuSDiHhxISrPW2t6mEq2xnOEQ8n+yGd7nJtScNSkSWar1ETKXIgUedLiVpnSBkJEMNw0GJYhcqxskNr5ng+I/kYAAQQQQAABBBA4FoERhMhHEZHzl6eHq2YWSH7PZ4qUOf/+OiJ6yBApb4JJsVG7TaUIgnOf5WGstUyPsk/eApNCZH5bTe6TUmQ6pViZ30aTZSwJl+n+a7+n8Fia//lU55fZKXufasGVZfsPsN0ys/9zeM3vsPfrjPohgAACCCCAAAIIPJbACELku5MIyeyPS/NWQiQlSGZhlOyOuahYKxVyuxQal261KUJknvmR+2eGSN5SkxIkv8/FRy7Let57yjqvmgmRYwWl1wSwj96WEDlW33vs8OroCCCAAAIIIIAAAr0TGEGI5FtmfhMRr12Y8/aPfD3v1lPWI4VDZmHMMzPW1K0IkenzQeb7LQmR3DYzU3L/+Ztlyq0yteUpTpayUuZ1mP+9SoakNCFEjhWUPlpyXHN8QuRYfa/3AVr9EEAAAQQQQAABBB5LYAQh8kVE/HQefZ/5O7NJepnWiI1aXdfsd0mI1I6by2q3yqQIyYySlCgpTDLr5Dm3+izdLpPr3DLjGSKeIaIPNO0Djx1eHR0BBBBAAAEEEECgdwIjCJE3zkX3leVrX89b2fXui/LWlMyaSMFxjWC45RkiS42o3SpTyxjJ7JFbbvk5V4eUIn/NIpEhcqz/pb8mg+PR28oQOVbf632AVj8EEEAAAQQQQACBxxIYQYhMA+x8/e47s9fwZvbIpbfPTI/R6nt500xKgGtuRSnPIVnaJ7M48rgpOdZMNfGR+2VmSO15IrVnk6wpZ2kbQkR2QNPsgJpcIUQIkccOuY6OAAIIIIAAAggg0BOBUYRIipDylpl8Tki+daZMmRWSt9WkKGk5lTe6nJMHRUKkuLgm46LcDrMkO4o0WXrOyJRF7VaZXJ91q9U/25b1v+dEiBAihIg+0LQP9DQYqwsCCCCAAAIIIIBAewIjCJF8mGo+GyQfrvpxRLw/EyIlaM91r5c/GnwWKZFSoSYPnpshUvZbkijltpo1zazdKpP75a0x57JM8mGwa2XLmjrkNoSIYLhpMCxD5FjZILXz3X7IVSICCCCAAAIIIIBATwRGECIpOj6cRd3TDJHpqk+mfzz4e8nkSDlRm/JhpSkccp6/1aW2/XRZ7nPuuPk8klxfu9Vleoz8XrJUauUvCZGUIYQIgbG5wKgFubcsc8vMsSRJT4OxuiCAAAIIIIAAAgi0JzCCEPl0HuWfyRDJzfLWmVZTZlEsSYmSxVHL9EgZkfvW1mX9i0ypiYy8nSWFSC0rZd72rMPSs0jyOG6Zqfwubwm67dtv0E2I9HtuHvG7qfy0LUIAAQQQQAABBBA4EIERhEgtG6S2LGVAywyRLC9lQ4qNuZwo2SM12ZD75W0sKSOWxEbum0Jj+oaaLCffWpPC5NKUdVgSNrl/rq9tk2VPy71U1pr1bpmRcbJ5xgkhQogcaPzXVAQQQAABBBBA4PAERhAiNclREyL5rJHP10Tmd94msziKfCiCIYVCZpCcm1JspOzIt7wsTSlccps8fh4zvy8dtxwrt0nZUsswKdvkZ2270p7pdvf4TogQIoSIPtC0Dxz+XwAAIIAAAggggAACBycwghDJZ4j8ehaR57L5lG+h+WC+8KB/X7pVZools01StGRGSIqaR2SHZHmEiGC4aTBcuwVDhogMkYP/m0DzEUAAAQQQQACBQxEYQYiUt8z8PiJ+ERH5Ct7MEHlx+v5eRHx9mqeB/pG/r7mlZsonRUjexpMZKfe+VaaUQ4gQIoSIPtC0DxxqtNdYBBBAAAEEEEAAgScERhAiGVDnrR0/RMT3Z+Z8Je8bJfL22SUBQkQw3DQYliFyrGyQ2vl+MiJagAACCCCAAAIIIHAoAqMIkYzwM3Mhb+dIMTKda7fPdGkEDl4pQoQQIUT0gaZ94FCjvcYigAACCCCAAAIIPCEwkhCZ+oTMBpERMiXS/3dCRDDcNBiuZQx4hsixskaejIgWIIAAAggggAACCByKwAhC5Nv+Y301XEGAECFECBF9oGkfONRor7EIIIAAAggggAACTwiMIES+i4h/XRFw26RvAoSIYLhpMCxD5FjZILXz/WREtAABBBBAAAEEEEDgUARGESL5MNV8s8zrfcf8ardAgBAhRAgRfaBpHzjUaK+xCCCAAAIIIIAAAk8IjCBE8gGq70fEWxGRD1D9PCLeWQi8reqTACEiGG4aDNcyBjxD5FhZI09GRAsQQAABBBBAAAEEDkVgBCGSMmQ6vRYRv4qILyLiNxHxYrrS924JECKECCGiDzTtA4ca7TUWAQQQQAABBBBA4AmBEYTIUoT/dkR8GhGfRMS/LG1o3eYECBHBcNNgWIbIsbJBauf7yYhoAQIIIIAAAggggMChCIwuRDI7JLNF8sGr+ZyRLzcP+1XgHAFChBAhRPSBpn3gUKO9xiKAAAIIIIAAAgg8ITCCEKk9SPXNU1ZISpCc8zkjeQtNZoyY+iRAiAiGmwbDtYwBzxA5VtbIkxHRAgQQQAABBBBAAIFDERhBiHw7ie/fO2WBFAmSmSEfRsQbk2187ZMAIUKIECL6QNM+cKjRXmMRQAABBBBAAAEEnhAYQYhk9kfeCjPNBvkqIt7tM+5XqzMECBHBcNNgWIbIsbJBauf7yYhoAQIIIIAAAggggMChCIwgRDILJKVIzvnaXdkgZ4xD54sJEUKEENEHmvaBQ432GosAAggggAACCCDwhMAoQiRfr2vaNwFCRDDcNBiuZQx4hsixskaejIgWIIAAAggggAACCByKwChCZN8qQO2TACFCiBAi+kDTPnCo0V5jEUAAAQQQQAABBJ4QGEGIvM8nDEGAEBEMNw2GZYgcKxukdr6fjIgWIIAAAggggAACCByKwAhCZGoD3jm9bvfriMi3z3weEb+YbuB7twQIEUKEENEHmvaBQ432GosAAggggAACCCDwhMAoQuTFSYSU1+2Wh6zmZy77fUTkNqZ+CRAiguGmwXAtY8AzRI6VNfJkRLQAAQQQQAABBBBA4FAERhEin0ZEvm0m3zKTr9t9+zTn7TSfndalFDH1S4AQIUQIEX2gaR841GivsQgggAACCCCAAAJPCIwgRFKAfHEhzv9RRHwVEf96YTurtyNAiAiGmwbDMkSOlQ1SO99PRkQLEEAAAQQQQAABBA5FYAQh8snK22FSiuS2pj4JECKECCGiDzTtA4ca7TUWAQQQQAABBBBA4AmBEYRI3i6zdiJE1pJqvx0hIhhuGgzXMgY8Q+RYWSNPRkQLEEAAAQQQQAABBA5FYAQhco3kyLfOmPokQIgQIoSIPtC0DxxqtNdYBBBAAAEEEEAAgScERhAil54fMg3/r9l2up/vjydAiAiGmwbDMkSOlQ1SO99PRkQLEEAAAQQQQAABBA5FYAQh8quI+M2KeP2jiPhgxXY22YYAIUKIECL6QNM+cKjRXmMRQAABBBBAAAEEnhAYQYhk+J5vkMnX6uZbZF4/PWT1xen7exHxZUR8vU2cr9SVBAgRwXDTYLiWMeAZIsfKGnkyIlqAAAIIIIAAAgggcCgCowiRH0fEnyLi+zPzdxHx1srA3GbbECBECBFCRB9o2gcONdprLAIIIIAAAggggMATAqMIkRLC/zYiUn78MJnzLTSvlQ18dkuAEBEMNw2GZYgcKxukdr6fjIgWIIAAAggggAACCByKwGhCpET7KUBkhBQa+/gkRAgRQkQfaNoHDjXaaywCCCCAAAIIIIDAEwKjCpF9KAC1nBIgRATDTYPhWsaAZ4gcK2vkyYhoAQIIIIAAAggggMChCBAi05Dc9y0JECKECCGiDzTtA4ca7TUWAQQQQAABBBBA4AkBQmRLBaDsKQFCRDDcNBiWIXKsbJDa+X4yIlqAAAIIIIAAAgggcCgChMg0JPd9SwKECCFCiOgDTfvAoUZ7jUUAAQQQQAABBBB4QoAQ2VIBKHtKgBARDDcNhmsZA54hcqyskScjogUIIIAAAggggAAChyJAiExDct+3JECIECKEiD7QtA8carTXWAQQQAABBBBAAIEnBAiRLRWAsqcECBHBcNNgWIbIsbJBauf7yYhoAQIIIIAAAggggMChCBAi05Dc9y0JECKECCGiDzTtA4ca7TUWAQQQQAABBBBA4AkBQmRLBaDsKQFCRDDcNBiuZQx4hsixskaejIgWIIAAAggggAACCByKACEyDcl935IAIUKIECL6QNM+cKjRXmMRQAABBBBAAAEEnhAYXYi8HhE5m/onQIgIhpsGwzJEjpUNUjvfT0ZECxBAAAEEEEAAAQQORWAEIfLRQqz/YUTk/GlEfBIRLxa2tWpbAoQIIUKI6ANN+8ChRnuNRQABBBBAAAEEEHhCYAQh8vXKOP7HJymycnObNSZAiAiGmwbDtYwBzxA5VtbIkxHRAgQQQAABBBBAAIFDERhBiHxzReD++RXb2rQtAUKEECFE9IGmfeBQo73GIoAAAggggAACCDwhMIIQWZsh8nZErN22rQpQWhIgRATDTYNhGSLHygapne8nI6IFCCCAAAIIIIAAAocisDch8kVEfDmbv5/9PV+ff38bEbndb7iHbgkQIoQIIaIPNO0DhxrtNRYBBBBAAAEEEEDgCYG9CZGM5l+LiF9GxFcR8cPK+buI+LhbFaBiSYAQEQw3DYZrGQOeIXKsrJEnI6IFCCCAAAIIIIAAAocisEchMtUHn52yP96IiHNzChRT/wQIEUKEENEHmvaBQ432GosAAggggAACCCDwhMDehUiG+ZkpYto/AUJEMNw0GJYhcqxskNr5fjIiWoAAAggggAACCCBwKAIjCJF39+8CtMAtM4LTWsDaeplbZo7VDw812mssAggggAACCCCAwBMCIwiRa2zCJ9dsbNumBGSIyBCRIaIPNO0DT0ZECxDYIYE///nPLyPiH+ZcZkIAAQQQQACBywSOJkTybTOmPgkQIoLhpsFwLftEhogMkcvDpi0Q6IsAIdLX+VAbBBBAAIF9ERhFiLyIiA9Or9X9KCJq8+enV+/2qQPUihAhRAgRfaBpH9jXcK22CNQJECJ1LpYigAACCCCwhsAIQiTfLvP9ab70Gl4ZIv2KF0JEMNw0GJYhcqxskNr5XjNI2gaB3gkQIr2fIfVDAAEEEOiZwAhC5IuIyPn9iHh7EOA13gAAIABJREFUYf6lDJF+bYiHqgpOawFr62VumTlWP+x5cFY3BNYSIETWkrIdAggggAACTwmMIkTWRvrfrd3Qds0JyBCRISJDRB9o2geeDomWILA/AoTI/s6ZGiOAAAII9ENgBCHy8RWhe2aRmPokQIgIhpsGw7XsExkiMkT6GZ7VBIF1BAiRdZxshQACCCCAQI3A0YRIPnzV1CcBQoQQIUT0gaZ9oDYoWobA3ggQIns7Y+qLAAIIINATgRGESD43JN8ws2byUNU1lLbZhhARDDcNhmWIHCsbpHa+exqM1QWB5xIgRJ5Lzn4IIIAAAgi8fDmCEMnw/d3Tq3b/y4VYPt9CY+qTACFCiBAi+kDTPuAfAQiMQIAQGeEsagMCCCCAwFYERhAin0fElxHx9eT1u5kJMp3La3lliPQpQ7JWhIhguGkwXMsY8AyRY2WNbDXwKheBexIgRO5J07EQQAABBI5GYAQhkm+OycyPNTMhQojc5TdeC6Yt238wTYjs/xxe8zu8y8XAQRDYmAAhsvEJUDwCCCCAwK4JjCBEvln5DJEfnTJI+lUCx66ZDBEZIjJE9IGmfWDXo7fKI3AiQIjoCggggAACCDyfwAhC5IuI+OlKl5DZJKY+CRAiguGmwXAtk0CGiAyR5w+n9kRgGwKEyDbclYoAAgggMAaBEYTIa1fE99dse8VhbXoHAoQIIUKI6ANN+8AYw7hWHJ0AIXL0HqD9CCCAAAK3EBhBiExj8Tcj4p2IyM8yZfbIi/KHz24JECKC4abBsAyRY2WD1M73LYOnfRHohQAh0suZUA8EEEAAgT0SGEWIpADJN82Ut8l8NAn734qIvK0mRYmpXwKECCFCiOgDTfvAHgdtdUZgToAQmRPxNwIIIIAAAusJjCBE8jaYfDZIPlz144h4PyKmQqQogFz3evnDZ3cECBHBcNNguJYx4Bkix8oaWT9U2hKBfgkQIv2eGzVDAAEEEOifwAhCJEXHh7PwviZEcpNPZtv5sx8ChAghQojoA037QP9DtBoicJkAIXKZkS0QQAABBBA4R2AEIfJpJaY/J0Ty1hlTnwQIEcFw02BYhsixskFq5/vcwGg5AnsiQIjs6WypKwIIIIBAbwRGECI1+VFblhpAhkifMiRrRYgQIoSIPtC0D/Q2IKsPAs8hQIg8h5p9EEAAAQQQ+BuBEYRITXLUhEg+a+Tzfn3A4WtGiAiGmwbDtYwBzxA5VtaIfwggMAIBQmSEs6gNCCCAAAJbERhBiOQzRH490wm5bD7lW2g+mC/0dzcECBFChBDRB5r2ga0GXuUicE8ChMg9aToWAggggMDRCIwgRMpbZn4fEb+IiHwFb2aIvDh9fy8ivj7N3UT/KvKEACEiGG4aDMsQOVY2SO18H23A194xCRAiY55XrUIAAQQQaENgBCGSkfXPIuKHiPj+zJyv5H3jSQhuQU8ECBFChBDRB5r2gTbDrFIQeCwBQuSxfB0dAQQQQGBsAqMIkQzsfxQRn53ESMqRMtdun+lJBKjL3wgQIoLhpsFwLWPAM0SOlTUy9vCudUchQIgc5UxrJwIIIIDAIwiMJESmYiGzQWSETIn0/50QIUQ2FyI1SWLZuJLkEYOqYyLQmgAh0pq48hBAAAEERiIwqhA5F/7n80RMfRIgRAgRQkQfaNoHRhrMteW4BAiR4557LUcAAQQQuJ3A0YTIt326gOa1ymeu/DYifn5lyf925fbXbE6ICIabBsMyP8bN/Fh7bm8fQh0Bge0JECLbnwM1QAABBBDYL4GRhEh5q8xPI6I2Z3ZIPnT16FM+ZyVlSD5zJYXIH07fL3HJ/f50aaMb1hMihAghog807QP7HbrVHIG/EyBE/s7CNwQQQAABBK4lMIoQ+eTM22Xmb53ZKkMkMytSPPzlJBVSLvzkBnlQdv3l6bi/Oz1Q9tJxsx5zqZFSJOuVx6pNP46IP0bEyzvVuVZGLiNEBMNNg+G1WQS2GzeT5NoB0/YI9EiAEOnxrKgTAggggMBeCIwgRPItMvlGmS8iIr+fm1NItM4QySyMLHd6a0qKkJQSKRgyU+O5U8qPFBVZRplSXizJjXNlFpGS9Um5Mp1zWdb3lrqW+i19EiKECCGiDzTtA3sZqNUTgSUChMgSHesQQAABBBBYJjCCEEkR8tpSpD1Z993ke4uvKUPyeR3zKSVGiosUFFNZMt/u3N+ZzZH7pgCZT3m8XDfPQMm/c3ktEySFyLmpllVybttblhMiguGmwbDMj3EzP9ae2+Xh0VoE9kGAENnHeVJLBBBAAIE+CYwgRD69Igq/ZtsrDlvdNAVECpFzU2ZcpKBIMXLtlPtkdsi5KY87L7tIlJqgybrU5Eouq8mVc+XespwQIUQIEX2gaR/oc1hWKwSuI0CIXMfL1ggggAACCEwJjCBE8haZHqfMrEiZcE5cpJjI9TnXZMS5NpVMj7yt5dxUnvkxvZ2mZI7UhEgea7ptOW4e59G3ypSyCBHBcNNgeG0Wge3GzSSZDoa+I7BXAoTIXs+ceiOAAAII9EBgBCHy/umtMiWwXvrMh6+2mlIyFOExv30l61CyL3Kba26bKZklS6Iis0Pmxy0iZe0tM3n8+QNYH8mOECFECBF9oGkf6GEQVgcEbiVAiNxK0P4IIIAAAkcmMIIQySA9s0TeWRGtt3zLTAqIzLA493yOIihSXNSyNs41p2R/ZAbKuSnLzOPOpUneajNflseY17HULT9bTYSIYLhpMCzzY9zMj7Xn9siDv7aPQ4AQGedcagkCCCCAQHsCowiRfKjqVxGRwuPziPhoNmdmSC5v/ZaZJZlQnumR4qJ2u8q5fcsbamqZHmWfkp0yv60m95k/syTFylzIZBlLwqWUc81nCo+l+Z9LRk12yt6ntQGX7QTd+kC/faD364z6IbCGACGyhpJtEEAAAQQQqBMYQYi8dRId+erdS3PLDJFLsqBkesylxaX9UmikRFkjROaZH3nszBApb7/J73Pxkcuybveess6rZkKk3wBScO/cjNQH6sOipQjsiwAhsq/zpbYIIIAAAn0RGEGI5Gt3c85niby9MKdA6CVDpDzgNDMxrskOSUlRhMjSc0dKhkhNiOQxsszcf/4w13KrTG15ipMlCXNJoKySISlNCBFB90hBt7b025/7Go7VBoHnESBEnsfNXggggAACCCSBEYRI3iqzdvpu7YYP3C5lREqNnOfiYU2x9xAi58qp3SqTIiQzSrLeKUxSslwrcbK8pdtlcp1bZjxDxDNE9IGmfcA/AxAYgQAhMsJZ1AYEEEAAga0IjCBErnntbmaRbD2lXHiuDMm63/IMkaW2126VqWWMpMS59jafpXLLupQif80ikSHS7/+oy3ZwbkbqA1sNvMpF4J4ECJF70nQsBBBAAIGjETiaEHlRou+NPjPb4hYZktUuzx5Zun0lszhSLqTkWDPVxEful/Km9jyRc7firCnr3DaEiOyAptkBIwX22vI8UXW0AV97xyRAiIx5XrUKAQQQQKANgRGESD435INzUfZs+ZYPVU2B8Zxnhsya8NfsjEuyo0iTpeeMTI9bu1Um12c5NfmRbUmJcs+JECFECBF9oGkfaDPMKgWBxxIgRB7L19ERQAABBMYmMIIQyaD83dNrdv/LhQg930KzxZSvtU1JUXv2RkqL+Wtvl+qY26eoWLptpdxWs3Scsq52q0yuy1tjzomXrO9a2VLKufRJiAiGmwbDsiqel1UxErexh3etOwoBQuQoZ1o7EUAAAQQeQWAEIfJ5RHwZEV+f3iKTb5LJTJDpnMvK8kuB+b3XZybFORmSZaWQuPbhqikqUnrUppQuub52q8t8+3O3yuR2S0IkZQghQmAQGPrArvvAIwZVx0SgNQFCpDVx5SGAAAIIjERgBCGSb47JzI81c+tbZlJOpJhI8ZDfy5yyIedcXhMbuS73O5cFks8iSemR282nvJ0l1+WxL01Z9tKzSPI4bpmp/OJH+l9ybZEpcdQ+UPlpW4TA7ggQIrs7ZSqMAAIIINARgRGEyDcrnyGSMiKzRFpNWV65dSXFwrm5JkQya6Rsf05spKjIfbOcMuW2+dDWFCaXppQtl7JIcn1tmyx7Wu6lstasd8uMbINdZxscVSrsud0djcWqgsCzCRAiz0ZnRwQQQAABBF6OIES+iIifrom4IyKzSVpNU6lR5EbtM9/kMp9K5kht3XTbzO7IbVJupKTI72ueR5LbZF1qGSbT49e2y33OZa5M9732OyFCiBAi+kDTPuDfAAiMQIAQGeEsagMCCCCAwFYERhAir10ReV+z7RWH3d2ml26VmTYos01StGRGSIqaR2SHZHmEiGC4aTC858wGdb/PbU5bDbzKReCeBAiRe9J0LAQQQACBoxEYQYhMg/c3I+KdiMjPMmX2yIvyh8+/ElhzS80UVYqQzHjJjJR73ypTyiFECBFCRB9o2geONuBr75gECJExz6tWIYAAAgi0ITCKEEkBkm+aKW+T+ahE2RHxVkTkbTUpSkz9EiBEBMNNg2FZFvfJstgzxzbDrFIQeCwBQuSxfB0dAQQQQGBsAiMIkbwNJp8Nkg9X/Tgi3o+IqRApCiDXvV7+8NkdAUKEECFE9IGmfWDs4V3rjkKAEDnKmdZOBBBAAIFHEBhBiKTo+HAW3teESG7yyWw7f/ZDgBARDDcNhvec2aDu98luecSg6pgItCZAiLQmrjwEEEAAgZEIjCBEPq3E9OeESN46Y+qTACFCiBAi+kDTPjDSYK4txyVAiBz33Gs5AggggMDtBEYQIjX5UVuWGkCGSJ8yJGtFiAiGmwbDsizuk2WxZ463D6GOgMD2BAiR7c+BGiCAAAII7JfACEKkJjlqQiSfNfJ5vz7g8DUjRAgRQkQfaNoH9jt0qzkCfydAiPydhW8IIIAAAghcS2AEIZLPEPn1TCfksvmUb6H5YL7Q390QIEQEw02D4T1nNqj7fbJbrh0wbY9AjwQIkR7PijohgAACCOyFwAhCpLxl5vcR8YuIyFfwZobIi9P39yLi69PcTfSvIk8IECKECCGiDzTtA3sZqNUTgSUChMgSHesQQAABBBBYJjCCEMnI+mcR8UNEfH9mzlfyvvEkBLegJwKEiGC4aTAsy+I+WRZ75rg8PFqLwD4IECL7OE9qiQACCCDQJ4FRhEgG9j+KiM9OYiTlSJlrt8/0JALU5W8ECBFChBDRB5r2gT6HZbVC4DoChMh1vGyNAAIIIIDAlMBIQmQqFjIbREbIlEj/3wkRwXDTYHjPmQ3qfp/slulg6DsCeyVAiOz1zKk3AggggEAPBEYQIt/2H+ur4QoChAghQojoA037QA+DsDogcCsBQuRWgvZHAAEEEDgygRGEyHcR8a8rAm6b9E2AEBEMNw2GZVncJ8tizxyPPPhr+zgECJFxzqWWIIAAAgi0JzCKEMmHqeabZV7vO+ZXuwUChAghQojoA037QPshV4kI3J8AIXJ/po6IAAIIIHAcAiMIkXx46vsR8VZE5ANUP4+IdxYCb6v6JECICIabBsN7zmxQ9/tktxxnqNfSkQkQIiOfXW1DAAEEEHg0gRGESMqQ6fRaRPwqIr6IiN9ExIvpSt+7JUCIECKEiD7QtA88eoB1fARaECBEWlBWBgIIIIDAqARGECJLEf7bEfFpRHwSEf+ytKF1mxMgRATDTYNhWRb3ybLYM8dRB3btOhYBQuRY51trEUAAAQTuS2B0IZLZIZktkg9ezeeMfLl52K8C5wgQIoQIIaIPNO0D9x1OHQ2BbQgQIttwVyoCCCCAwBgERhAitQepvnnKCkkJknM+ZyRvocmMEVOfBAgRwXDTYHjPmQ3qfp/sljGGca04OgFC5Og9QPsRQAABBG4hMIIQ+XYS3793ygIpEiQzQz6MiDcm2/jaJwFChBAhRPSBpn3glsHTvgj0QoAQ6eVMqAcCCCCAwB4JjCBEMvsjb4WZZoN8FRHv9hn3q9UZAoSIYLhpMCzL4j5ZFnvmuMdBW50RmBMgROZE/I0AAggggMB6AiMIkcwCSSmSc752VzbIGePQ+WJChBAhRPSBpn1g/VBpSwT6JUCI9Htu1AwBBBBAoH8CowiRfL2uad8ECBHBcNNgeM+ZDep+n+yW/odoNUTgMgFC5DIjWyCAAAIIIHCOwChCZN8qQO2TACFCiBAi+kDTPnBuYLQcgT0RIET2dLbUFQEEEECgNwIjCJH3+YQhCBAiguGmwbAsi/tkWeyZY28Dsvog8BwChMhzqNkHAQQQQACBvxEYQYhMbcA7p9ftfh0R+faZzyPiF9MNfO+WACFCiBAi+kDTPuAfAgiMQIAQGeEsagMCCCCAwFYERhEiL04ipLxutzxkNT9z2e8jIrcx9UuAEBEMNw2G95zZoO73yW7ZauBVLgL3JECI3JOmYyGAQAsCrlstKCtjLYFRhMinEZFvm8m3zOTrdt8+zXk7zWendSlFTP0SIEQIEUJEH2jaB9YOlLZDoGcCAouez466IYBAjYDrVo2KZVsRGEGIpAD54kKc/6OI+Coi/vXCdlZvR4AQEQw3DYZlWdwny2LPHLcaeJWLwD0JCCzuSdOxEECgBQHXrRaUlbGWwAhC5JOVt8OkFMltTX0SIEQIEUJEH2jaB9YOlLZDoGcCAouez466IYBAjYDrVo2KZVsRGEGI5O0yaydCZC2p9tsRIoLhpsHwnjMb1P0+2S1bDbzKReCeBAQW96TpWAgg0IKA61YLyspYS2AEIXKN5Mi3zpj6JECIECKEiD7QtA+sHShth0DPBAQWPZ8ddUMAgRoB160aFcu2IjCCELn0/JBp+H/NttP9fH88AUJEMNw0GJZlcZ8siz1z3GrgVS4C9yQgsLgnTcdCAIEWBFy3WlBWxloCIwiRX0XEb1bE6x9FxAcrtrPJNgQIEUKEENEHmvaBtQOl7RDomYDAouezo24IIFAj4LpVo2LZVgRGECIZvucbZPK1uvkWmddPD1l9cfr+XkR8GRFfbxPnK3UlAUJEMNw0GN5zZoO63ye7ZauBV7kI3JOAwOKeNB0LAQRaEHDdakFZGWsJjCJEfhwRf4qI78/M30XEWysDc5ttQ4AQIUQIEX2gaR9YO1DaDoGeCQgsej476oYAAjUCrls1KpZtRWAUIVJC+N9GRMqPHyZzvoXmtbKBz24JECKC4abBsCyL+2RZ7JnjVgOvchG4JwGBxT1pOhYCCLQg4LrVgrIy1hIYTYiUaD8FiIyQQmMfn4QIIUKI6ANN+8DagdJ2CPRMQGDR89lRNwQQqBFw3apRsWwrAqMKkX0oALWcEiBEBMNNg+E9Zzao+32yW7YaeJWLwD0JCCzuSdOxEECgBQHXrRaUlbGWwAhC5P3Tc0N+PY2ufd8dAUKEECFE9IGmfWDtQGk7BHomILDo+eyoGwII1Ai4btWoWLYVgRGEyDen54V8vjsFoMJTAoSIYLhpMCzL4j5ZFnvmuNXAq1wE7klAYHFPmo6FAAItCLhutaCsjLUERhAi+dDUtc8LeWcagfveFQFChBAhRPSBpn1g7UBpOwR6JiCw6PnsqBsCCNQIuG7VqFi2FYERhMiHEfHmytD+25Xb2aw9AUJEMNw0GN5zZoO63ye7ZauBV7kI3JOAwOKeNB0LAQRaEHDdakFZGWsJjCBEMnRPKfJBRLy4EMfn63hNfRIgRAgRQkQfaNoH1g6UtkOgZwICi57PjrohgECNgOtWjYplWxEYQYh8FBE5f3l6uGpmgeT3fKZImfPvryNChkifMiRrRYgIhpsGw7Is7pNlsWeOWw28ykXgngQEFvek6VgIINCCgOtWC8rKWEtgBCHy3UmEZPbHpZkQIUTW/jYWt9tzEKjuRIA+8Lc+sPgjtxKBnRAQWOzkRKkmAgi8IuC69QqFLx0QGEGI5FtmfhMRr12Yf3ISJ/0qgWPXTIaIDBEZIvpA0z7QwRisCgjcTEBgcTNCB0AAgcYEXLcaA1fcIoERhMgXEfHTlS4hs0lMfRIgRATDTYNhWRIyZRZHRysR2AkBgcVOTpRqIoDAKwKuW69Q+NIBgRGEyBtXxPdrX897xSFteicChAghQojoA037QAdjsCogcDMBgcXNCB0AAQQaE3DdagxccYsERhAi83g83zSTGSPvRMTr85X+7pYAISIYbhoMyxCRIbI4OlqJwE4ICCx2cqJUEwEEXhFw3XqFwpcOCIwkRFJ+lDfNfH96Xkh+/ntE/FO3GkDFCgFChBAhRPSBpn2ggzFYFRC4mYDA4maEDoAAAo0JuG41Bq64RQKjCJHMBkn5ce4tM/9fRPxLibx9dkmAEBEMNw2GZYjIEFkcHa1EYCcEBBY7OVGqiQACrwi4br1C4UsHBEYQIvl2mRQh+baZ909vmikRfz5f5JcR8ZeI+H/LQp9dEiBECBFCRB9o2gc6GINVAYGbCQgsbkboAAgg0JiA61Zj4IpbJDCCEPk4IvJNM5emP0bEry9tZP1mBAgRwXDTYFiGiAyRxdHRSgR2QkBgsZMTpZoIIPCKgOvWKxS+dEBgBCGSzw1ZM/0oIj5fs6FtNiFAiBAihIg+0LQPdDAGqwICNxMQWNyM0AEQQKAxAdetxsAVt0hgBCGyJjukRPifli8+uyNAiAiGmwbDMkRkiCyOjlYisBMCAoudnCjVRACBVwRct16h8KUDAiMIkWskxyfdaQAVKgQIEUKEENEHmvaBDsZgVUDgZgICi5sROgACCDQm4LrVGLjiFgmMIEQ+jIg3S1S98JkPWM1ta9PXtYWWNSVAiAiGmwbDMkRkiCyOjlYisBMCAoudnCjVRACBVwRct16h8KUDAiMIkYzaM/PjnxbC9xenbfKzNuVbakzbEiBECBFCRB9o2gc6GINVAYGbCQgsbkboAAgg0JiA61Zj4IpbJDCCEMkHpWaGx/enz/w+n5fWfXvad1sdoHRCRDDcNBiWISJDZHF0tBKBnRAQWOzkRKkmAgi8IuC69QqFLx0QGEGIfBcRmeFxy5xSxLQtAUKEECFE9IGmfaCDMVgVELiZgMDiZoQOgAACjQm4bjUGrrhFAiMIkW8i4jcR8doz55/IENnWhJxKJ0QEw02DYRkiMkQWR0crEdgJAYHFTk6UaiKAwCsCrluvUPjSAYERhEi+dvenN4b0mWVi2pYAIUKIECL6QNM+0MEYrAoI3ExAYHEzQgdAAIHGBFy3GgNX3CKBEYRIvj3m1umtWw9g/5sJECKC4abBsAwRGSKLo6OVCOyEgMBiJydKNRFA4BUB161XKHzpgMAIQuSaSPy9aza2bVMChAghQojoA037QAdjsCogcDMBgcXNCB0AAQQaE3DdagxccYsEjiZEPDy1qeO4qjBCRDDcNBiWISJDZHF0tBKBnRAQWOzkRKkmAgi8IuC69QqFLx0QGEmIvIiIN0/PE8lnisznzA7J1++a+iRAiBAihIg+0LQPdDAGqwICNxMQWNyM0AEQQKAxAdetxsAVt0hgFCHyyUl2pPBYmmWI9ClDslaEiGC4aTAsQ0SGyOLoaCUCOyEgsNjJiVJNBBB4RcB16xUKXzogMIIQ+TgifoiIfNtMfj83/0GGSL82hBARnBIU+kDrPtDBGKwKCNxMQGBxM0IHQACBxgRctxoDV9wigRGESIqQ11aG+l6vuxLUBpvJEJEhIkNEH2jaBxZHRysR2AkBgcVOTpRqIoDAKwKuW69Q+NIBgRGEyKdXBO/XbHvFYW16BwKEiGC4aTDcOhtBef1lwHQwBqsCAjcTEFjcjNABEECgMQHXrcbAFbdIYAQhkrfImPZPgBAhRAgRfaBpH1gcHa1EYCcEBBY7OVGqiQACrwi4br1C4UsHBEYQIu+f3iizRgnkw1dNfRIgRATDTYNhGRv9ZWy0PicdjMGqgMDNBAQWNyN0AAQQaEzAdasxcMUtEhhBiGR4n1ki76yI871lZgWkjTYhRAgRQkQfaNoHFkdHKxHYCQGBxU5OlGoigMArAq5br1D40gGBUYRIPlT1q4hI4fF5RHw0mzMzJJfnK3lNfRIgRATDTYPh1tkIyusvI6WDMVgVELiZgMDiZoQOgAACjQm4bjUGrrhFAiMIkbdOoiNfvXtpliHSpwzJWhEihAghog807QOLo6OVCOyEgMBiJydKNRFA4BUB161XKHzpgMAIQiRfu5tzPkvk7YX5lzJE+rUhhEh//3suo8E5Gb0PdDAGqwICNxMQWNyM0AEQQKAxAdetxsAVt0hgBCGSt8qsnb5bu6HtmhOQISI7oGl2wOjBvvZdFlqLo6OVCOyEgMBiJydKNRFA4BUB161XKHzpgMAIQuSa1+5mFsnRp59FxG8j4udXgvi3K7e/dnNChBAhRPSBpn2ggzFYFRC4mYDA4maEDoAAAo0JuG41Bq64RQJHEyIvro3SB9v+s5MM+dFJiPwhIvL7pSn3+9OljW5cT4gIhpsGwzIoLmdQjM5ocXS0EoGdEBBY7OREqSYCCLwi4Lr1CoUvHRAYQYjkc0M+WBmMb/lQ1Z+cpMIaAbGmOflMlBQav4uIFBY5ZxnnpszwmEuNzBL5S0TksWrTjyPijxHx8sKxa/teu4wQIUQIEX2gaR/oYAxWBQRuJiCwuBmhAyCAQGMCrluNgStukcAIQiQD73dPr9n9Lxei8HwLTcsp5UfeopLSIqVCzvcQIik/UlRMj5XyYkluZNl5q8x8KiIl12U9p3MuS4lS229+nFv/JkQEw02D4dGzH7TvcgbM4uhoJQI7ISCw2MmJUk0EEHhFwHXrFQpfOiAwghD5PCK+jIivT2+R+T4iMhNkOueysvzWwH3t/pmRkdIiBUNKkZQV9xAimc2Rx0kBMp8y4yPXzTNF8u9cXssESSFybqpllZzb9tblhAghQojoA037QAdjsCogcDMBgcXNCB0AAQQaE3DdagxccYsERhAi+eaYzPxYM295y8y9hEgeJ0XLuSnFR95KM52KREkxM58y+6MmV3JZTa4R9RvtAAAgAElEQVTM97/X34SIYLhpMCyD4nIGxeiMFkdHKxHYCQGBxU5OlGoigMArAq5br1D40gGBEYTINyufIZK3l2SWyFbTPYRIyfTIrJNzU3nmx/R2mpI5UhMieazptuW4eZwWt8qU8ggRQoQQ0Qea9oEOxmBVQOBmAgKLmxE6AAIINCbgutUYuOIWCYwgRL6IiJ+WqPrCZ2aTbDXdQ4ikoMisjSVRkdkhuc30tbpFpKy9ZSaPP38A66O5ESKC4abB8OjZD9p3OQNmcXS0EoGdEBBY7OREqSYCCLwi4Lr1CoUvHRAYQYi8dkWkfs22Vxx21ab3ECIl+yOf7XFuymeC1KRJll8TKfNniBR5kp8tJ0KEECFE9IGmfaCDMVgVELiZgMDiZoQOgAACjQm4bjUGrrhFAiMIkZZB+y1l3UOIZNZGyo5apkepW94Ck9vMb6vJfbIO0ynFyvw2mixjSbhM97/mewqPpfmfT/V+mZ2y98n/vl/+33eMMOq9D/R+nVE/BNYQEFisoWQbBBDoiYDrVk9nQ12OJkTyjTRbTfcQIuUYa4TIPPMj250ZInlLTUqQ/D4XH7ls6YGtt7BLSbNqJkQE0r0H0uo3Rh/1TwAERiAgsBjhLGoDAsci4Lp1rPPde2uPJkT2/lDVIkSmzweZS4qSIVITIrltPkA195+/WabcKlNbnuJkScLM61D7e5UMSWlCiIwRbJIGzmPvfaD3AVr9EFhDQGCxhpJt9krgP//f//mleTwG/+n//E9P4oJc5lyPd67znPY+7UWI/Coi8pW5v6hE2l+f1uX6pTllCCFSAXhaVLtVJkVIZpSkRElhkpKl9kaa80f9+5ql22VynVtmPD+i6fMjeg/W1e/xQqn3AVr9EFhDgBBZQ8k2eyUgQB4zQCZExjyv536vvV9/9iJE8u0wP0REyo/5VNbl+vxem3NdzilMtppKdsdzhULW+5ZniCy1u3arTC1jJLNH5s8mWTruNetSivzVFssQeXwgKNjGWB/4b72Pz+qHwCoChMgqTDbaKYFzAZbl+w6oCZF9n79rf3+9X372IkTydo1vIuLdSoT9VUR8UFleW7T3DJHylpml21cyiyPFQkqONVNNfOR+mRlSe57IuVtx1pS1tA0hIkNEhog+0LQP9D5Aqx8CawgQImso2WavBK4NvGy/j0CbENnHebrX76n3689ehMhSIP1FRLy5tMFkXWaPbDXdI0OkPB9kSXYUabL0nJEpg9qtMrk+pUpNfqSMSYly74kQEQw3DYZlSMiS6X2AVj8E1hAgRNZQss1eCdwrIHOcvgJwQqSv8/Ho30fv158RhMg1gflr12x8523vIURScqSoWLptpdxWs6b6tVtlcr+8NeZclkm+oWatbFlTh7INIUKIECL6QNM+0PsArX4IrCFAiKyhZJu9Enh0oOb42wTmhMg23Lfq771ff44mRErwvcXnPYRI1jtFRUqP2pTPJ8n1tVtd5tufu1Umt1sSIilDCBGBa9PAVTaHbI5H9IHeB+i71+//ePHypXk4Bn/+4H/Ocf8f5lzmXA/a3+9+Yej7gFsFcMp9bMBOiDyWb2/9t++rzMu/vuF0Mo7mf9KbHkRgrRBJGZFC41wWSL75Jf/hk9vNp7ydJdetuaUlpcrSs0jyOG6ZOfMLfkRw5piCfn2gbR848/MedzEZMqQkIEQGFR/nfq/jXqGqLestsFOf+wTyhMh9OO6lP1Z/3B0tlCEyVwqP+btkXKRkyFtOlqa8jSW3WxIbKSpSaEzfWJMSJKVLCpNLU8qWS1kkub62TZY9LfdSWWvXu2VG1omsE32gaR/oaCxuU5VzAZbluxYlhAgh0uYCsk0pewn41PO6AJ8QuY7X3vvXNleP9aUSImvD9eu3y9tKyvM8Um6krChZIvl3rqvJixQbuS7f8rI0ZXZHbpNyIyVFfr8kW/J4uU2WX8swmZZX2y73OZe5Mt33Od8JEcFw02BYNkbbbIweea8fKgfZkvjYtfg4dwsMIUKIDHKFqjZj74Gg+tcDf0KkzmXU/lL9cXe0kBB5Tui+731StizdKjNtXQqbFC2ZEZKi5lHZIVkmIUKIECL6QNM+0NFY3KYqhAghog/svw+0uVp0U8qoAeLR20WIECLdXGReeobINPg/yvdaVspS21OE5G08KVEecatMKZsQEQw3DYZ7zFhQp7ZZKz0Nxk3qIhjefzBcOYcyRGSINLl+bFTI0cXBqO0nRAiRjS4p1WJliJRw3OfWBAgRQoQQ0Qea9oHqqDjywkowfe42DMv3E2QTIvs5V3f5XY18jaq0bVQhcPR2ESKESOXnvtkiQmRrDaD8QoAQEQw3DYZlY7TNxuiR92Yj71YFEyIyRPSB/feBra4fG5V7dHEwavsJEUJko0tKtVhCpITjPrcmQIgQIoSIPtC0D1RHxZEXCob3HwxXzqEMERkiI1+2RhUCR28XIUKI9HTdIkS21gDKLwQIEcFw02C4x4wFdWqbtdLTYNykLpVg+i4p/I67qWghRAiRJtePjQo5ujgYtf2ECCGy0SWlWuxoQuTNiHgnIvKzTD+NiBflD5/dEiBECBFCRB9o2geqo+LIC4mLTcXFo+QTIUKIjHzZGlUIHL1dhAgh0tN1axQhkgLky4j4/jR/NAn734qIL06iZLLY184IECKC4abBsGyMttkYPfLuaTBuUhdChBDRB/bfB5pcLPop5OjiYNT2EyKESD9XmTFeu/taRHwXEd9ExMcR8X5ETIVIiftz3evlD5/dESBECBFCRB9o2gd6Goyb1EUwvP9guHIOZYjIEGly/diokFGFwNHbRYgQIhtdUqrFjpAhkqLjw1l4XxMiuckns+382Q8BQkQw3DQY7jFjQZ3aZq1UR8WRF1aC6UfdxuG47YJ0QqQd6y769cjXqErbji4ORm0/IUKIVH7umy0aQYh8WonpzwmRvHXG1CcBQoQQIUT0gaZ9YLORd6uCCREZIvrA/vvAVtePjcodVQgcvV2ECCGy0SWlWuwIQqQmP2rLUgPIEOlThmStCBHBcNNgWDZG22yMHnlXR8WRFwqG9x8MV86hDBEZIiNfto4uDkZtPyFCiPR03RpBiNQkR02I5LNGPu/XBxy+ZoQIIUKI6ANN+0BPg3GTulSC6S5uAVCvm0QNIUKINLl+bFTIqELg6O0iRAiRjS4p1WJHECL5DJFfz3RCLptP+RaaD+YL/d0NAUJEMNw0GO4xY0Gd2matVEfFkRcSDzeJh17lESFCiIx82Tq6OBi1/YQIIdLTdWsEIfKj01tmfh8Rv4iIfAVvZoi8OH1/LyK+Ps3dRP8q8oQAIUKIECL6QNM+0NNg3KQuhAghog/svw80uVj0U8ioQuDo7SJECJF+rjJjvHY3I+ufRcQPEfH9mTlfyfvGkxDcgp4IECKC4abBsGyMttkYPfLuaTBuUhfB8P6D4co5lCEiQ6TJ9WOjQo4uDkZtPyFCiGx0SakWO0KGyLenqD4zRT47iZGUI2Wu3T7TkwhQl78RIEQIEUJEH2jaB6qj4sgLK8F0r7eBqNf6IJ8QWc9qiH418jWq0rZRhcDR20WIECKVn/tmi0YQIt9FxL/OrEJmg8gImUHp/E9CRDDcNBjuMWNBndpmrWw28m5VMCEiQ0Qf2H8f2Or6sVG5RxcHo7afECFENrqkVIsdRYjkrTL53JDXOw/6Ve88AUKEECFE9IGmfaA6Ko68UDC8/2C4cg5liMgQGfmyNaoQOHq7CBFCpKfr1ghCJG+NeT8i3oqIvD0mX637zvm425pOCRAiguGmwbBsjLbZGD3y7mkwblKXSjA9xC0EB28XIUKINLl+bFTI0cXBqO0nRAiRjS4p1WJHECIpQ6bTaxHxq4j4IiJ+c3rbzHS9730SIEQIEUJEH2jaB6qj4sgLDy4ORpU/hAghMvJla1QhcPR2ESKESE/XrRGEyFJ4/3ZEfBoRn0TEvyxtaN3mBAgRwXDTYLjHjAV1apu10tNg3KQuhIhbZvSB/feBJheLfgo5ujgYtf2ECCHSz1VmnNfunovmX5yyRfLBq/mckS/PbWj55gQIEUKEENEHmvaBngbjJnURDO8/GK6cQxkiMkSaXD82KmRUIXD0dhEihMhGl5RqsSNkiNQepPrmKSskJUjO+ZyRvIUmM0ZMfRIgRATDTYNh2RhtszF65F0dFUdeWAmmR72N5EjtIkQIkZEvW0cXB6O2nxAhRHq6bo0gRL6dxPfvnbJAigTJzJAPvYJ3Qqjfr4QIIUKI6ANN+0BPg3GTuhAiMkT0gf33gSYXi34KGVUIHL1dhAgh0s9VZoxbZjL7I2+FmWaDfBUR7/Yb+6tZhQAhIhhuGgz3mLGgTm2zVnoajJvURTC8/2C4cg5liMgQaXL92KiQo4uDUdtPiBAiG11SqsWOkCGSWSApRXLO1+6+UQm2LeqfACFCiBAi+kDTPlAdFUdeWAmmj3RryahtJUQIkZEvW6MKgaO3ixAhRHq6bo0iRPL1uqZ9EyBEBMNNg2HZGG2zMXrk3dNg3KQuhIgMEX1g/32gycWin0KOLg5GbT8hQoj0c5UZ45aZzBAx7Z8AIUKIECL6QNM+0NNg3KQuguH9B8OVcyhDRIZIk+vHRoWMKgSO3i5ChBDZ6JJSLXaEDJH39+8CtCAiCBHBcNNguMeMBXVqm7VSHRVHXlgJpke9jeRI7SJECJGRL1tHFwejtp8QIUR6um6NIETYhDEIECKECCGiDzTtAz0Nxk3qQojIENEH9t8Hmlws+ilkVCFw9HYRIoRIP1eZMW6ZuUYHfH7NxrZtSoAQEQw3DYZlY7TNxuiRd0+DcZO6CIb3HwxXzqEMERkiTa4fGxVydHEwavsJEUJko0tKtdijZYjkq3lNfRIgRAgRQkQfaNoHqqPiyAsrwfSRbi0Zta2ECCEy8mVrVCFw9HYRIoRIT9etvQiRX0XEtxHxi0os//VpXa5fmlOGECIVgJ0sIkQEw02D4R4zFtSpbdZKT4Nxk7oQIjJE9IH994EmF4t+Cjm6OBi1/YQIIdLPVWY/t8zkm2R+iIiUH/OprMv1+b0257qcU5iY+iRAiBAihIg+0LQP9DQYN6mLYHj/wXDlHMoQkSHS5PqxUSGjCoGjt4sQIUQ2uqRUi91LhsgvI+KbiHi3Est/FREfVJbXFskQqVHpYxkhIhhuGgzLxmibjdEj7+qoOPLCSjA96m0kR2oXIUKIjHzZOro4GLX9hAgh0tN1ay9CZClk/yIi3lzaYLIus0dMfRIgRAgRQkQfaNoHehqMm9SFEJEhog/svw80uVj0U8ioQuDo7SJECJF+rjL7uWXmXiH8a/c6kOPcnQAhIhhuGgz3mLGgTm2zVnoajJvURTC8/2C4cg5liMgQaXL92KiQo4uDUdtPiBAiG11SqsWOkCFy98jcATchQIgQIoSIPtC0D1RHxZEXVoLpI91aMmpbCRFCZOTL1qhC4OjtIkQIkZ6uW6MLkdcjImdT/wQIEcFw02BYNkbbbIweefc0GDepCyEiQ0Qf2H8faHKx6KeQo4uDUdtPiBAi/Vxlxrhl5qOFWP/DiMj504j4JCJeLGxr1bYECBFChBDRB5r2gZ4G4yZ1EQzvPxiunEMZIjJEmlw/NipkVCFw9HYRIoTIRpeUarEjZIjUXsVbC+1/fJIitXWWbU+AEBEMNw2Ge8xYUKe2WSvVUXHkhZVgetTbSI7ULkKEEBn5snV0cTBq+wkRQqSn69YIQiRfx7t2+nzthrZrToAQIUQIEX2gaR/oaTBuUhdCRIaIPrD/PtDkYtFPIaMKgaO3ixAhRPq5yoxxy8zaDJG3I2Ltts1tgAKDEBEMNw2GZWO0zcbokXdPg3GTugiG9x8MV86hDBEZIk2uHxsVcnRxMGr7CRFCZKNLSrXYvWWIfBERX87m72d/z9fn399GRG73G+KhWwKECCFCiOgDTftAdVQceWElmD7SrSWjtpUQIURGvmyNKgSO3i5ChBDp6bq1NyGS0fxrEfHLiPgqIn5YOX8XER93qwJULAkQIoLhpsFwjxkL6tQ2a6WnwbhJXQgRGSL6wP77QJOLRT+FHF0cjNp+QoQQ6ecqs/9bZj47ZX+8ERHn5hQopv4JECKECCGiDzTtAz0Nxk3qIhjefzBcOYcyRGSINLl+bFTIqELg6O0iRAiRjS4p1WL3mCEyD+0zU8S0fwKEiGC4aTAsG6NtNkaPvKuj4sgLK8H0qLeRHKldhAghMvJl6+jiYNT2EyKESE/XrRGEyLv7dwFa4JYZwWmPAbM6jd0vexqMm9SFEJEhog/svw80uVj0U8ioQuDo7SJECJF+rjL7v2VmjUnIZ4d8FBHvrdnYNpsRkCEiQ0SGiD7QtA/0NBg3qYtgeP/BcOUcyhCRIdLk+rFRIUcXB6O2nxAhRDa6pFSLHSFD5FIEn88QyTlfu5tixNQnAUJEMNw0GJb9MXb2x5rzWx0VR15YCaaPdGvJqG0lRAiRkS9bowqBo7eLECFEerpuHUGIlPA/pUi+ftfUJwFChBAhRPSBpn2gp8G4SV0IERki+sD++0CTi0U/hRxdHIzafkKEEOnnKjPOLTOvR8QnEfH1SXqk+JjP30fEl326ALXyDBH/W7/mf/Rto5/csw/0NBg3qYtgeP/BcOUcyhCRIdLk+rFRIaMKAe06lhA4+vne6PKxuthRMkS+i4gfLsy/Od06wz70SUCGiOyAptkB9wysHWufomb1SDnKhpVgetTbSI7ULkKEEBnlElVrx9EDSe0nTkboA7Xfdk/LRhAiv4qIfPXuW5M4Px+kWqa8VeZnnh9ScHT7SYgQIoSIPtC0D/Q0GDepCyEiQ0Qf2H8faHKx6KeQEYJBbSA1jt4H+rmi1GsyghD5vBLi5+0z8ynFSGaJmPokQIgIhpsGw7I69pnVcc/zVh8WB14qGN5/MFw5hzJEZIgMfNV6efRAUvvJlBH6QO/XqBGEyDQbpIT6X5Qvs88PZ3/7sx8ChAghQojoA037QO8D9N3rVwmmj3RryahtJUQIkbtfKzo64AjBoDaQGkfvAx1dUqpVGUGI1F6lm7fRvFeJ9T+oLLOoDwKEiGC4aTB8z0wDx9pntkl1VBx5ISEiQ0Qf2H8fGPkaVWnb0QNJ7SdTRugDlZ92V4tGEiIpQPJtMzn9+PSWmf9w+rt81G6vKet8bkuAECFECBF9oGkf6Go0blEZwfD+g+HKOZQhIkOkxeVjqzJGCAa1gdQ4eh/Y6vqxttwRhMj7EZGiI1+r+98nMf0fT1Lkv0bEO6dtas8Wmezi64YECBHBcNNgWFbHPrM67nne1g6Uw2xXCaZHvY3kSO0iRAiRYa5RlYYcPZDUfjJlhD5Q+Wl3tWgEIZIx/G9Pr9ydCo+fnJalKCnzmxsG/IpeJkCIECKEiD7QtA90NRq3qAwhIkNEH9h/H2hxreiojBGCQW0gNY7eBzq6pFSrMooQORdqpxT5LCLyIavvntvI8i4IECKC4abB8D0zDRxrn9km1VFx5IWC4f0Hw5VzKENEhsjIl62jB5LaT6aM0Ad6v0aNLkS6iPRVYhUBQoQQIUT0gaZ9oPcB+u71qwTTR7q1ZNS2EiKEyN2vFR0dcIRgUBtIjaP3gY4uKdWqECKrYnUbNSBAiAiGmwbDsjr2mdVxz/NWHRVHXkiIyBDRB/bfB0a+RlXadvRAUvvJlBH6QOWn3dWiowmRrxsE9op4HgFChBAhRPSBpn2gq9G4RWUEw/sPhivnUIaIDJEWl4+tyhghGNQGUuPofWCr68faco8mRL57XqxurwYECBHBcNNg+J6ZBo61z2yTtQPlMNtVgulRbyM5UrsIEUJkmGtUpSFHDyS1n0wZoQ9UftpdLdqLEMnMjm9vnPNNM3kMU58ECBFChBDRB5r2ga5G4xaVIURkiOgD++8DLa4VHZUxQjCoDaTG0ftAR5eUalX2IkQys+OH05zfr53LvoRInzIka0WICIabBsOyOvaZ1XHP81YdFUdeKBjefzBcOYcyRGSIjHzZOnogqf1kygh9oPdr1F6EyFcR8cEdYvnMEjH1SYAQIUQIEX2gaR/ofYC+e/0qwfSRbi0Zta2ECCFy92tFRwccIRjUBlLj6H2go0tKtSp7ESJfRMRP7xDHe4bIHSA+6BCEiGC4aTB8z0wDx9pntkl1VBx5ISEiQ0Qf2H8fGPkaVWnb0QNJ7SdTRugDlZ92V4v2IkReu1MQfq/j3Kk6DjMhQIgQIoSIPtC0D3Q1GreojGB4/8Fw5RzKEJEh0uLysVUZIwSD2kBqHL0PbHX9WFvuXoTIJG5e/PpmRLwTEflZpswseVH+8NktAUJEMNw0GJbVsc+sjnuet7UD5TDbVYLpUW8jOVK7CBFCZJhrVKUhRw8ktZ9MGaEPVH7aXS0aRYikAPkyIvIZITl/NAn734qIvOUmRYmpXwKECCFCiOgDTftAV6Nxi8oQIjJE9IH994EW14qOyhghGNQGUuPofaCjS0q1KiMIkbwNJp8N8k1EfBwR78+ESFEAue718ofP7ggQIoLhpsHwPTMNHGuf2SbVUXHkhYLh/QfDlXMoQ0SGyMiXraMHktr//7d3f7fyM/UdgH2XO0IHEVSQIKTcR1zlMqKDJFSAKCGBCiJKCDQQQgdv9FaAaAApoQLyiz7kfJFfM/b+m7O2x4+llfesvWP7WXvs+ZzxrjBlhH3g6HXUCIFIgo6fLpr38x4i80n/Pv/D80MJCEQEIgIR+8Bb94Gjn6C7r1+jMX2lW0tG3VaBiECke11xoAJHaAzaBqHG1feBA1UpzVUZIRD5RaNZvxaI5NYZwzEFBCIaw29tDOvVcc5eHT0/t+ZZceQXBSJ6iNgHzr8PjFxHNbbt6g1J2y9MGWEfaBzah3pphECkFX60XksMoIfIMcOQrJVARCAiELEPvHUfONTZ+B0rozF8/sZw4zPUQ0QPkXdUH3stY4TGoG0Qalx9H9ir/rh3uSMEIq2QoxWI5LtGfnXcPODyayYQ0Rh+a2O4Z08DZZ2zt8m9J8ph5ms0pke9jeRK2yUQEYgMU0c1NuTqDUnbL0wZYR9oHNqHemmEQCTfIfIvizghry2H/ArNj5cv+vswAgIRgYhAxD7w1n3gUGfjd6yMQEQPEfvA+feBd9QVB1rGCI1B2yDUuPo+cKAqpbkqIwQi9Ssz/zFN0z9O05Sf4E0PkW99PP+naZp+8/E4TOt/5xX5wTRNP5um6YcPrsdPHpz/kdkFIhrDb20M69Vxzl4dPT+35llx5Bc1hs/fGG58hnqI6CEycrV19Yak7RemjLAPHL2OGiEQSaM7Dfz/nabpDyuP/CTvdx5pnQ887y8/wpBvfwQiv56mKc9vDXnfb2/N9MJ0gYhARCBiH3jrPnD0E3T39Ws0pq90a8mo2yoQEYh0rysOVOAIjUHbINS4+j5woCqluSqjBCJph6dRn0Z7gpH5o3X7zAvt9qfe+qNpmhI8/PxjHbOe33uqpG++6dFy08NjGWqkl8jvp2lKWa3hu9M0fT1N05dO69xaRl4TiGgMv7Ux3LOngbLO2dukeVYc+UWBiB4i9oHz7wMj11GNbbt6Q9L2C1NG2Acah/ahXhopEJk3tNMb5Cg9QhJ+JFCY98JIyLAVQsy3Ze35M+Um1MitMsuhAppMS2gzf+S1hCit9y3LeeVvgYhARCBiH3jrPnCos/E7VkZj+PyN4cZnqIeIHiLvqD72WsYIjUHbINS4+j6wV/1x73JHDUReaZj3fG96XSSESACyHNIz49leF8+Umx4pWV6rJ0gCkbWh1atkbd5XXheIaAy/tTGsV8c5e3X0/NzuPVEOM1+jMT3qbSRX2i6BiEBkmDqqsSFXb0jafmHKCPtA49A+1EsjBCL//PG9Ictfmnmlcd7rvekFkt4ha0MCitxK8+jwTLkVouT7VpZDen+0Qpu89mxos1zGrb8FIgIRgYh94K37wKHOxu9YGYGIHiL2gfPvA++oKw60jBEag7ZBqHH1feBAVUpzVUYIRPKFqfnOkF/danG/eXr1yMjtJ2tDfTfH/HaatXnr9WfLrR4prUAk69hah6zfZ98qU9slENEYfmtjuGdPA2Wds7dJ86w48osaw+dvDDc+Qz1E9BAZudq6ekPS9gtTRtgHjl5HjRCI/GKapr+pVvWN8T/cmN5zcoKE9K7YChTSOyTzPPLzt8+WW0HKvbfMZDnLL2Dt6bMsSyAiEBGI2Afeug8c/QTdff0ajekr3Voy6rYKRAQi3euKAxU4QmPQNgg1rr4PHKhKaa7KCIHIT6dp+utl63rl7/9eef0zXq7eH/kOjrUh391xKzRZvveVcnOrTSugWX6HSIUnGb9rEIhoDL+1MaxXxzl7dfT83JpnxZFfFIjoIWIfOP8+MHId1di2qzckbb8wZYR9oHFoH+qlEQKRNNgTivx4mqZv3Wi959aadw3pXZGwo9Ujo9Yht6pknq3bamreGr9SbtYloch8SGCzvI0my9gKcubvv/d5Ao+tx/c/LL5kpzz60LNRpiwNc/vAPvvA0euZ7uunMXz+xnDjM9RDRA+R7nXFgQocoTFoG4QaV98HDlSlNFdlhEDk36ZpyuO/Pr5cNb1A8jzfKVKP/P2baZre2UMkwcO9gciyh8ZWyPBquekhklt1EoLk+TL4yGvphdJ7iMVdD4HIPo1DjXLuV9sHmmfFkV9sNKZHvY3kStslEBGIjFxtXb0hafuFKSPsA0evo0YIRP7nIwhJ749bjz0Cka3vB6keIs8EIq+Umy9QzfuXvyxTt8q0Xk9wstXb5VaAclcYktDkDIHI0Q9s60eAAAEC1xD43e9+92fn17xmIECAAAECBG4LjBCI5Fdm/nWapr+88Uhj/w+3Wu0dp1dPjleCi9bqfFa5WVbrVpkEIelRkhAlhglvWr9I01rX+Wtbt8tk2qlumbl9aJmDAAECBAh8voBA5PONLYEAAQIExhUYIauSgHIAABz3SURBVBD5z2ma/m7e8t54nt4k7xpe+a6PrXX8rHJbt8q0eoyk98gj33mytS3zaQlF/vhfLj1Exq1wbBkBAgQI9BUQiPT1VBoBAgQIXEtghEDkO/NW9Y3n9/48741i7ppcvwazdZtJelskBEgYce/wGeW2go+sT3qGtL5P5JFbfO7dLoHIteoeW0uAAAECHQQEIh0QFUGAAAEClxUYIRC5t8H97vnq+0G2wo4KN7Zuq1mu92eU27pVJstNWNMKPxLyJETpOQhELlsN2XACBAgQeFZAIPKsnPcRIECAAIEvf/z+yrpT4eNXUXu2cS9dVkKOBApbt5fU7S+PQPUut3WrTNYnt8as9V7JL9Q8EuLcs30CETUSAQIECBB4UEAg8iCY2QkQIECAwExAD5F7murPz5NAIaFHa8gXk2Z665aU1vzz13qVu3arTJa1FYgkDBGIzA4kTwkQIECAwB4CApE91C2TAAECBEYREIjMY4b+z/MLLQkvlj9jmyXltpNMa916kvkTlKz1Lnm23OUWJqzZ+o6TrJ9bZkY52m0HAQIECAwnIBAZ7iO1QQQIECDwRgGByDIi6P93AoUED/Ofqk0Ikp/PTbDRGnIbS8KItcAk73mm3PmyErbc6p2S6a15suz59szLffa5W2beeOBbFAECBAiMISAQGeNztBUECBAgsI+AQOTZ5vtj70svjPxiS0KIhAl5nu/hWBsSmCREyXxbw6PlVllZdsKWVs+Vmifj1nx5z1rPlfl7H30uENmnDrBUAgQIEDixgEDkxB+eVSdAgACB3QUEIo8228eY/9atMvOtTC+WBDPpEZKg5jN6h2R5ApHdqwMrQIAAAQJnExCInO0Ts74ECBAgcCQBgci86X+d52u36qwJJAjJbTzpkdL7VplapkDkSDWDdSFAgACBUwgIRE7xMVlJAgQIEDiogECkmuPGewsIRA5aSVgtAgQIEDiugEDkuJ+NNSNAgACB4wsIRPaOASy/BAQix68vrCEBAgQIHExAIHKwD8TqECBAgMCpBAQi1Rw33ltAIHKqqsPKEiBAgMARBAQiR/gUrAMBAgQInFVAILJ3DGD5JSAQOWstYr0JECBAYDcBgchu9BZMgAABAgMICESqOW68t4BAZIAKxSYQIECAwHsFBCLv9bY0AgQIEBhLQCCydwxg+SUgEBmrbrE1BAgQIPAGAYHIG5AtggABAgSGFRCIVHPceG8Bgciw1YwNI0CAAIHPEhCIfJascgkQIEDgCgICkb1jAMsvAYHIFWoc20iAAAECXQUEIl05FUaAAAECFxMQiFRz3HhvAYHIxSofm0uAAAECrwsIRF43VAIBAgQIXFdAILJ3DGD5JSAQuW49ZMsJECBA4EkBgciTcN5GgAABAgS+fPkiEKnmuPHeAgIRVRIBAgQIEHhQQCDyIJjZCRAgQIDATEAgsncMYPklIBCZHZieEiBAgACBewQEIvcomYcAAQIECLQFBCLVHDfeW0Ag0j5GvUqAAAECBFYFBCKrNCYQIECAAIGbAgKRvWMAyy8BgcjNw9UMBAgQIEDgmwICkW96+IsAAQIECDwiIBCp5rjx3gICkUeOXPMSIECAAIEvX74IROwGBAgQIEDgeQGByN4xgOWXgEDk+ePYOwkQIEDgogICkYt+8DabAAECBLoICESqOW68t4BApMshrRACBAgQuJKAQORKn7ZtJUCAAIHeAgKRvWMAyy8BgUjvo1t5BAgQIDC8gEBk+I/YBhIgQIDAJwoIRKo5bry3gEDkEw90RRMgQIDAmAICkTE/V1tFgAABAu8REIjsHQNYfgkIRN5zzFsKAQIECAwkIBAZ6MO0KQQIECDwdgGBSDXHjfcWEIi8/fC3QAIECBA4u4BA5OyfoPUnQIAAgT0FBCJ7xwCWXwICkT1rAssmQIAAgVMKCERO+bFZaQIECBA4iIBApJrjxnsLCEQOUilYDQIECBA4j4BA5DyflTUlQIAAgeMJCET2jgEsvwQEIserH6wRAQIECBxcQCBy8A/I6hEgQIDAoQUEItUcN95bQCBy6KrCyhEgQIDAEQUEIkf8VKwTAQIECJxFQCCydwxg+SUgEDlLrWE9CRAgQOAwAgKRw3wUVoQAAQIETiggEKnmuPHeAgKRE1YgVpkAAQIE9hUQiOzrb+kECBAgcG4BgcjeMYDll4BA5Nx1ibUnQIAAgR0EBCI7oFskAQIECAwjIBCp5rjx3gICkWGqFRtCgAABAu8SEIi8S9pyCBAgQGBEAYHI3jGA5ZeAQGTEGsY2ESBAgMCnCghEPpVX4QQIECAwuIBApJrjxnsLCEQGr2xsHgECBAj0FxCI9DdVIgECBAhcR0AgsncMYPklIBC5Tr1jSwkQIECgk4BApBOkYggQIEDgkgICkWqOG+8tIBC5ZBVkowkQIEDgFQGByCt63kuAAAECVxcQiOwdA1h+CQhErl4b2X4CBAgQeFhAIPIwmTcQIECAAIE/CQhEqjluvLeAQORPh6UnBAgQIEDgPgGByH1O5iJAgAABAi0BgcjeMYDll4BApHWEeo0AAQIECGwICEQ2cEwiQIAAAQI3BAQi1Rw33ltAIHLjYDWZAAECBAgsBQQiSxF/EyBAgACB+wUEInvHAJZfAgKR+49bcxIgQIAAgT8KCETsCAQIECBA4HkBgUg1x433FhCIPH8ceycBAgQIXFRAIHLRD95mEyBAgEAXAYHI3jGA5ZeAQKTLIa0QAgQIELiSgEDkSp+2bSVAgACB3gICkWqOG+8tIBDpfXQrjwABAgQIECBAgAABAgRWBQQie8cAll8CApHVw9QEAgQIECBAgAABAgQIEOgtIBCp5rjx3gICkd5Ht/IIECBAgAABAgQIECBAYFVAILJ3DGD5JSAQWT1MTSBAgAABAgQIECBAgACB3gICkWqOG+8tIBDpfXQrjwABAgQIECBAgAABAgRWBQQie8cAll8CApHVw9QEAgQIECBAgAABAgQIEOgtIBCp5rjx3gICkd5Ht/IIECBAgAABAgQIECBAYFVAILJ3DGD5JSAQWT1MTSBAgAABAgQIECBAgACB3gICkWqOG+8tIBDpfXQrjwABAgQIECBAgAABAgRWBQQie8cAll8CApHVw9QEAgQIECBAgAABAgQIEOgtIBCp5rjx3gICkd5Ht/IIECBAgAABAgQIECBAYFVAILJ3DGD5JSAQWT1MTSBAgAABAgQIECBAgACB3gICkWqOG+8tIBDpfXQrjwABAgQIECBAgAABAgRWBQQie8cAll8CApHVw9QEAgQIECBAgAABAgQIEOgtIBCp5rjx3gICkd5Ht/IIECBAgAABAgQIECBAYFVAILJ3DGD5JSAQWT1MTSBAgAABAgQIECBAgACB3gICkWqOG+8tIBDpfXQrjwABAgQIECBAgAABAgRWBQQie8cAll8CApHVw9QEAgQIECBAgAABAgQIEOgtIBCp5rjx3gICkd5Ht/IIECBAgAABAgQIECBAYFVAILJ3DGD5JSAQWT1MTSBAgAABAgQIECBAgACB3gICkWqOG+8tIBDpfXQrjwABAgQIECBAgAABAgRWBQQie8cAll8CApHVw9QEAgQIECBAgAABAgQIEOgtIBCp5rjx3gICkd5Ht/IIECBAgAABAgQIECBAYFVAILJ3DGD5JSAQWT1MTSBAgAABAgQIECBAgACB3gICkWqOG+8tIBDpfXQrjwABAgQIECBAgAABAgRWBQQie8cAll8CApHVw9QEAgQIECBAgAABAgQIEOgtIBCp5rjx3gICkd5Ht/IIECBAgAABAgQIECBAYFVAILJ3DGD5JSAQWT1MTSBAgAABAgQIECBAgACB3gICkWqOG+8tIBDpfXQrjwABAgQIECBAgAABAgRWBQQie8cAll8CApHVw9QEAgQIECBAgAABAgQIEOgtIBCp5rjx3gICkd5Ht/IIECBAgAABAgQIECBAYFVAILJ3DGD5JSAQWT1MTSBAgAABAgQIECBAgACB3gICkWqOG+8tIBDpfXQrjwABAgQIECBAgAABAgRWBQQie8cAll8CApHVw9QEAgQIECBAgAABAgQIEOgtIBCp5rjx3gICkd5Ht/IIECBAgAABAgQIECBAYFVAILJ3DGD5JSAQWT1MTSBAgAABAgQIECBAgACB3gICkWqOG+8tIBDpfXQrjwABAgQIECBAgAABAgRWBQQie8cAll8CApHVw9QEAgQIECBAgAABAgQIEOgtIBCp5vj1xj+Ypuln0zT98MFN/8mD8987u0Ck99GtPAIECBAgQIAAAQIECBBYFRCI3NtcH2u+X36EId/+CER+PU1Tnt8a8r7f3prpyekCkdXD1AQCBAgQIECAAAECBAgQ6C0gEHmy9f7C2773ESrcE0Dcs5gfTdOUQOPn0zQlsMgjy1gb0sNjGWqkl8jvp2lKWa3hu9M0fT1N05cbZbfee+9rApHeR7fyCBAgQIAAAQIECBAgQGBVQCByb3P9tfkSfuQWlYQWCRXy6BGIJPxIUDEvK+HFVriRZedWmeVQQUqmZT3nj7yWEKX1vmU5z/4tEFk9TE0gQIAAAQIECBAgQIAAgd4CApFnm+/3vy89MhJaJGBIKJKwokcgkt4cKScByHJIj49MW/YUyd95vdUTJIHI2tDqVbI277OvC0R6H93KI0CAAAECBAgQIECAAIFVAYHIs83359/XKxBJOQla1oYEH7mVZj5UiJJgZjmk90crXMlrrXBl+f5X/xaIrB6mJhAgQIAAAQIECBAgQIBAbwGByKvN+Mff3yMQqZ4e6XWyNtR3fsxvp6meI61AJGXN561yU85n3ipTyxGI9D66lUeAAAECBAgQIECAAAECqwICkWqOv2/cIxBJQJFeG1tBRXqHZJ75z+pWkHLvLTMpf/kFrJ8lJRBZPUxNIECAAAECBAgQIECAAIHeAgKRz2rer5fbIxCp3h/5bo+1Id8J0gpNsvxWkLL8DpEKTzJ+xyAQ6X10K48AAQIECBAgQIAAAQIEVgUEIu9o6n9zGT0CkfTaSNjR6ulRS8stMJlneVtN3pN1mA8JVpa30WQZW4HL/P33PE/gsfX424/1/fLVV199yY7pwcA+YB+wD9gH7AP2AfuAfcA+YB+wD9gHPmsfSNuz2qHTNP3VPQ1b87wm0CMQqTLuCUSWPT+y9ukhkltqEoLk+TL4yGtbX9j6jMB8R/P8/8MqDhzsA/YB+4B9wD5gH7AP2AfsA/YB+8Ax9oHvP9PQ9Z7HBCrMaH2B6b0lVRnz7wdZvrd6iLQCkcyb5ef9y1+WqVtlWq8nONkKYZbrMP/bQX6Mg9zn4HOwD9gH7AP2AfuAfcA+YB+wD9gH7AN/vg8IROYt+E96XmHG3oHI2ua1bpVJEJIeJVnnBCYJWR5d/63bZTItAczfT9OUnTBdlW7Nbzqjz9oHsg/WCSLPP2s5ymVrH7AP9NoH1Fv2pV77knLsS+/aB9Rb9rV37Wu3lpO2Z/bHPP5irZHs9X4CPQKRV75DZGtLWrfKtHqMJLxYfjfJVrmmETiTQCrNCkTy3ECAAIGjC6i3jv4JWT8CBJYC6q2liL8JnEggt40kEGg9tm5jySb2CETqV2a2bl9JL4406hJy3DO0go+8Lz1DWt8nsnYrzj3LMg+BIws4QR/507FuBAi0BNRbLRWvESBwZAH11pE/HetG4IZAQoL6D/JyfKvnRI9AJMu4FXZUaHIroKlNbd0qk2lZTiv8SBiTEMVAYDQBJ+jRPlHbQ2B8AfXW+J+xLSQwmoB6a7RP1PYQuFOgRyCSkCNBxVb4UrfV3LNarVtl8r7cGrMWvOQXau4NW+5ZB/MQOIqAE/RRPgnrQYDAvQLqrXulzEeAwFEE1FtH+SSsB4E3C/QIRLLKCSoSerSGfOFpprdudVnOv3arTObbCkQShghElpr+HkHACXqET9E2ELiWgHrrWp+3rSUwgoB6a4RP0TYQeELg3kAkYUQCjbVeIPnll4QemW855HaWTLvnlpaEKlvfRZJy3DKzFPb3yAJO0CN/uraNwJgC6q0xP1dbRWBkAfXWyJ+ubSOwIlA9LhIy5JaTrSG3sWS+rWAjQUUCjflP4CYESeiSwOTWkLDlVi+STG/Nk2XPl3trWaYTOIuAE/RZPinrSYBACai3SsKYAIGzCKi3zvJJWU8CLwrktpL6Po+EGwkrqpdI/s60VniRYCPT8gWuW0N6d2SehBsJKfL8VtiS8jJPlt/qYTJfXmu+vGet58r8vZ4TOKOAE/QZPzXrTODaAuqta3/+tp7AGQXUW2f81KwzgYEEErZs3Soz39QENgla0iMkQY3eIXMdzwkQIECAAAECBAgQIECAAIHTCLR6pWytfIKQ3MaTEMWtMltSphEgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAVQW+PU3Tr6dp+nqapt9P0/Tbq0LYbgIECBAgQIAAAQIECBAgQOBaAj+Ypukn0zR9+QhFrrX1tpYAgZEEvvsR8ibcTcibwNdAgAABAgQIECBAgACBTQGByCaPiQQInETge9M0/ewj5BWInORDs5oECBAgQIAAAQIE9hTIf1PzMBAgQODdAr2Di9wOmJC3d7nvdrE8AgQIECBAgAABAgTeICAQeQOyRRAg8GcCCS/yPUY9B4FIT01lESBAgAABAgQIEBhcQCAy+Ads8wgcVOBHApGDfjJWiwABAgQIECBAgMBFBAQiF/mgbSaBgwmkd4geIgf7UKwOAQIECBAgQIAAgaMI5FdgfvlxP3zGeeS/qmtD5s+98zVvxj9cm/nj9VuBSJb389kj5Wc5BgIECDwrkLop3/UhEHlW0PsIECBAgMA0TblXNBfny59Zy89J1gV8TraZJ98+XkNd4OeEnGmZdzksf8Kt5sk3mOd9WWY1TJbzpswMNW/+znqkjKzzreHRRtCt8kwnQOBcAqlTUmfksawzUv/kMR9q/tQ586HqyMy/LKfm2wpEUl7VZzV/xlmvvC/LNRAgQCACde2VeiOPXPPkOil1SF2DJaCt+iOBSB65nqpHXWvNRe8pt+ZPPTf/UtWsR9WZWY97r8OqPGMCBAgQIHB4gZwoEyDUfxpysl3+9zInwUzPiTInw7ynhjp5LhsYmZ75cjLNe/O+PM9JPY+8lkcN83lzYk95dQFQ89R6rP3Htho19zaCqlxjAgTGEkgdUnXWfMtSz1TdMw84Mn/ql7Uh4UWrjsv8W4FILavC3yq/6sC1Mms+YwIEriFQ/8hZbm3VWcvroVzvpH7J9c7W8Gi5dU1X12HL0DbXcanz1q7DttbFNAIECBAgcGiBnFhzAmz9dyEX83XibZ0EK6iYNzBqY+vkmpP2PGjJe3JinQ81b5a1PAnXfNXQaU2vacv1qAuKlLucVuUaEyAwhkDqmRzrrbosx3/qiXn4UaFtq24rkZSVMlvzbAUiCTyyvFZ9lfIyzUCAAIHUB7lWaQ2tfxClTsl7bgUij5Z7z3VY1ifltuq11vp7jQABAgQInEIgJ7c8lv+FyMpXoJAL/9ZQjYXWe+cn11thRM271UiYhzPzdXm0ETR/r+cECIwjkAZC6rJlr4y1LUy9duviPkFI5mn16NgKRNaWmddT3lqduvU+0wgQGE8g9cE8qJ1vYeqy5fXVI4HII+Xecx1W14S3wpj5NnhOgAABAgQOL5CTcR6toU5+ayfVCkRa/92ok+s9F/4171YgUvNkXfO8hkcbQfU+YwIExhKouqxVHy23dK0+Wc5XdWCrbronEEnjJaFt6tCEKlVn3lMvLtfF3wQIjCdQvS5SJ+R5QpCtHhj3BiKPllt1Yquum6tXPTu/DptP95wAAQIECJxOICe3tYvzagzkIr411MV9qwFSJ9d7/pNQ8957Ip4vr07O89da6+o1AgTGFnikLsh/XWv+rQv7qgNbdWRea70e5ZSfui/Tlz1WturcsT8hW0eAQEugwouqkzLO9VDruubeQCTLeaTcV67DWtvkNQIECBAgcBqBrYvzagy8Eois9S6ZAz16Ip7fz18XEK0Lh/kyPCdAYGyB6i02/86irS2uumPrv7EJMzJfqx5bC0QqbMn0VtiyVedura9pBAiMK5B6KPVNrrdSd1T9tLy2eSQQida95d57HVbrNr8OG/dTsWUECBAgcAmBrYvzIwUidRGQ9c3zGh5tBNX7jAkQGEugvk8o/xVdG1J3VAOj/nu67MExf+/WPGuBSL2nFcxUoyPvzZC/1wLnj1mMCBAYWGCt/qnrr2Uv27oWWr6eL4meXxs9Wm7VTff21J0va+CPx6YRIECAwBUEzhKI5OSedV1eBDzaCLrCZ2obCVxVoALS5RcRlkd6euTCP0PGCSaWdcrH5D9Nb/UOyTxrdWfmz7TWf1CrkSMQKWVjAtcVqDpoTaB+6nY+vYKLZb01D0ReKXcrEKneb8tlz9fPcwIECBAgcDqBXLjn0Rrq4n3tP669v0Mk65ETeWtIAyLTW/+VeKQR1CrbawQIjCGQ+iH1QS7ql6FIGgzL/5pmnsy77KWReijlzAOUpdBa3Vm/TLMMUlJmlpP1qLoudexynZbL8TcBAmMKpE5IXdAKT7PF+YfPsh7J67keqlC1ZObXac+UW+9ZllvlZ1zXfK3rsPl8nhMgQIAAgdMI1AkwJ+TWUL0yWifkzJ/X897WBX39J2Hrvw21zFqPzJuT+vxkm2lpmOQkncZDa3i0EdQqw2sECIwjUA2J1FGpU/JYBiTzrW3N32qkpD5KXZR6L+N6LOu5LCvLzPJTdkKQPDLM67RlEPMxixEBAhcQqGuf1CPL+inXNalX5tdDRVLBRF0TZZ7UNzU8U269J+W06qXUh1mfWmYty5gAAQIECJxSICe+5UV9XeBnWgKO+fSaVifcjFvT876c1OfT5s9bDYwA1ok4J9s8T8Mhy8gjDYpqSNzCbjVqlhcZt8ownQABAgQIECDw2QK53sk1zvy6J2FEHrn+aYUhtU65Lso1U4W+KaOGZ8rNe1JehjzP9Vyu2RKAZHzvddhHEUYECBAgQIDAIwI5+SZ0qZPxI+81LwECBAgQIECAAAECBAgQIEDglAICkVN+bFaaAAECBAgQIECAAAECBAgQeEVAIPKKnvcSIECAAAECBAgQIECAAAECpxQQiJzyY7PSBAgQIECAAAECBAgQIECAwCsC+eLT+uLWV8rxXgIECBAgQIAAAQIECBAgQIDA4QWWv0iTUMSXqx7+Y7OCBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQeEjg/wDvnRt/p5fLhgAAAABJRU5ErkJggg==\" alt=\"image.png\" rel=\"1\" /></a></p>\n<p>For simplicity, we limit the comparison to MRPC, COLA, and STSB, but we also observe similar improvements also for other GLUE datasets. For each dataset, we run ASHA on a single ml.g4dn.xlarge Amazon SageMaker instance with a runtime budget of 1,800 seconds, which corresponds to approximately 13, 7, and 9 full function evaluations on these datasets, respectively. To account for the intrinsic randomness of the training process, for example caused by the mini-batch sampling, we run both ASHA and the default configuration for five repetitions with an independent seed for the random number generator and report the average and standard deviation of the relative improvement across the repetitions. We can see that, across all datasets, we can in fact improve predictive performance by 1-3% relative to the performance of the carefully selected default configuration.</p>\n<h4><a id=\"Automate_selecting_the_pretrained_model_47\"></a><strong>Automate selecting the pre-trained model</strong></h4>\n<p>We can use HPO to not only find hyperparameters, but also automatically select the right pre-trained model. Why do we want to do this? Because no a single model outperforms across all datasets, we have to select the right model for a specific dataset. To demonstrate this, we evaluate a range of popular transformer models from Hugging Face. For each dataset, we rank each model by its test performance. The ranking across datasets (see the following Figure) changes and not one single model that scores the highest on every dataset. As reference we also show the absolute test performance of each model and dataset in the following figure.</p>\n<p><img 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\" alt=\"image.png\" rel=\"2\" /></p>\n<p>To automatically select the right model, we can cast the choice of the model as categorical parameters and add this to our hyperparameter search space:</p>\n<pre><code class=\"lang-\">config_space['model_name_or_path'] = choice(['bert-base-cased', 'bert-base-uncased', 'distilbert-base-uncased', 'distilbert-base-cased', 'roberta-base', 'albert-base-v2', 'distilroberta-base', 'xlnet-base-cased', 'albert-base-v1'])\n</code></pre>\n<p>Although the search space is now larger, that doesn’t necessarily mean that it’s harder to optimize. The following figure shows the test error of the best observed configuration (based on the validation error) on the MRPC dataset of ASHA over time when we search in the original space (blue line) (with a BERT-base-cased pre-trained model) or in the new augmented search space (orange line). Given the same budget, ASHA is able to find a much better performing hyperparameter configuration in the extended search space than in the smaller space.</p>\n<p><a href=\"https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2022/06/16/ML-9045-test_error_mrpc.png\" target=\"_blank\"><img 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\" alt=\"image.png\" rel=\"3\" /></a></p>\n<h4><a id=\"Automate_selecting_the_instance_type_65\"></a><strong>Automate selecting the instance type</strong></h4>\n<p>In practice, we might not just care about optimizing predictive performance. We might also care about other objectives, such as training time, (dollar) cost, latency, or fairness metrics. We also need to make other choices beyond the hyperparameters of the model, for example selecting the instance type.</p>\n<p>Although the instance type doesn’t influence predictive performance, it strongly impacts the (dollar) cost, training runtime, and latency. The latter becomes particularly important when the model is deployed. We can phrase HPO as a multi-objective optimization problem, where we aim to optimize multiple objectives simultaneously. However, no single solution optimizes all metrics at the same time. Instead, we aim to find a set of configurations that optimally trade off one objective vs. the other. This is called the <a href=\"https://en.wikipedia.org/wiki/Pareto_front\" target=\"_blank\">Pareto set</a>.</p>\n<p>To analyze this setting further, we add the choice of the instance type as an additional categorical hyperparameter to our search space:</p>\n<pre><code class=\"lang-\">config_space['st_instance_type'] = choice(['ml.g4dn.xlarge', 'ml.g4dn.2xlarge', 'ml.p2.xlarge', 'ml.g4dn.4xlarge', 'ml.g4dn.8xlarge', 'ml.p3.2xlarge'])\n</code></pre>\n<p>We use <a href=\"https://arxiv.org/abs/2106.12639\" target=\"_blank\">MO-ASHA</a>, which adapts ASHA to the multi-objective scenario by using non-dominated sorting. In each iteration, MO-ASHA also selects for each configuration also the type of instance we want to evaluate it on. To run HPO on a heterogeneous set of instances, Syne Tune provides the SageMaker backend. With this backend, each trial is evaluated as an independent SageMaker training job on its own instance. The number of workers defines how many SageMaker jobs we run in parallel at a given time. The optimizer itself, MO-ASHA in our case, runs either on the local machine, a Sagemaker notebook or on a separate SageMaker training job. See the following code:</p>\n<pre><code class=\"lang-\">backend = SageMakerBackend(\n sm_estimator=HuggingFace(\n entry_point=str('run_glue.py'),\n source_dir=os.getcwd(),\n base_job_name='glue-moasha',\n # instance-type given here are override by Syne Tune with values sampled from `st_instance_type`.\n instance_type='ml.m5.large',\n instance_count=1,\n py_version=&quot;py38&quot;,\n pytorch_version='1.9',\n transformers_version='4.12',\n max_run=3600,\n role=get_execution_role(),\n ),\n)\n</code></pre>\n<p>The following figures show the latency vs test error on the left and latency vs cost on the right for random configurations sampled by MO-ASHA (we limit the axis for visibility) on the MRPC dataset after running it for 10,800 seconds on four workers. Color indicates the instance type. The dashed black line represents the Pareto set, meaning the set of points that dominate all other points in at least one objective.</p>\n<p><a href=\"https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2022/06/16/ml-9045-mo_latency_cost.png\" target=\"_blank\"><img 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\" alt=\"image.png\" rel=\"4\" /></a></p>\n<p>We can observe a trade-off between latency and test error, meaning the best configuration with the lowest test error doesn’t achieve the lowest latency. Based on your preference, you can select a hyperparameter configuration that sacrifices on test performance but comes with a smaller latency. We also see the trade off between latency and cost. By using a smaller ml.g4dn.xlarge instance, for example, we only marginally increase latency, but pay a fourth of the cost of an ml.g4dn.8xlarge instance.</p>\n<h4><a id=\"Conclusion_105\"></a><strong>Conclusion</strong></h4>\n<p>In this post, we discussed hyperparameter optimization for fine-tuning pre-trained transformer models from Hugging Face based on Syne Tune. We saw that by optimizing hyperparameters such as learning rate, batch size, and the warm-up ratio, we can improve upon the carefully chosen default configuration. We can also extend this by automatically selecting the pre-trained model via hyperparameter optimization.</p>\n<p>With the help of Syne Tune’s SageMaker backend, we can treat the instance type as an hyperparameter. Although the instance type doesn’t affect performance, it has a significant impact on the latency and cost. Therefore, by casting HPO as a multi-objective optimization problem, we’re able to find a set of configurations that optimally trade off one objective vs. the other. If you want to try this out yourself, check out our <a href=\"https://github.com/awslabs/syne-tune/blob/hf_blog_post/hf_blog_post/example_syne_tune_for_hf.ipynb\" target=\"_blank\">example notebook</a>.</p>\n<h4><a id=\"About_the_Authors_113\"></a><strong>About the Authors</strong></h4>\n<p><a href=\"https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2021/11/19/Aaron-Klein.jpg\" target=\"_blank\"><img 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\" alt=\"image.png\" rel=\"5\" /></a></p>\n<p><strong>Aaron Klein</strong> is an Applied Scientist at AWS.</p>\n<p><img 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bs52TPQE+Brh7aFGsL+JHd4eShanIqUa4KFmXBPkpYOv0aZfrF46ZhKrJS6MEGqxgDmO/hYVvIy2MIZJ6g5PhSusOjdYNVKoZE5MhPhqpdCIXWCWubGZRbnYAVJXJyhFTkzfkOghUMhDTwzSstA9tbF5Ea2Qhe/JIaWIMTmlFFyk2JjI1Z6NQyKSzlOEmSa/aNz/zwHCB4UAYV+Cky2MQY4fzcL5WDSIifBHoJ+ZmbskisjKsppIryiZJ06c4+9jgIdeCZVUyKwYcg5pXoNm9AI99Wz+gqwpb5U7/LROiPYSI8RDyRxK+prJT/BRi2CWurDSKHeGWuAEjZh8GwkzIKwmMVP+NNFFoXcfgxAmhTvzTUhh0z0pfE/+i1riBh1FfKXukIvIT3JlvhJFjokDKWhJCRWUpsRxBdGDaMCVL+MM7jz1fyWRxXEIXfC8g3sA9lDODiAbnSaamDL3UCMixIcdXmaVLTlBa4vqEreQyRtiNSLIxwiLSQ21XMKySXRKsU156wTMUSRT00shhJ/KDZEmd6QFyJAbYvOyKcmBHMkEHwXiPWUI0glgVbrCXyuAVe0GX40QVp2MRYnDvRUItWgQ4a1FrL8B5HiS8iY/iPQHAULOqVjgyJ6DOITm8xViV+Z4cskTxEEktihUw4/x8WnEEftVylcGhH+D59W5GxIgLm7OEIndNgKHcvh56xHgY4aXScPmqonQJMKIG7wsSgT56uDvo4O3RQOtRm7z5PUq1ociwGQK09fvqXCHVemMeLMIJSFa1MTqUR5vQW64FiTOaAYwJ0yPwmAlknyUiPWQIMlTihQ/OZKsKoSbpWyKN8JLgiiab/FQMk6JDNAy0UlfP4kqo9yNOZhyiTMDhAAgA0Hs5sAOigawNpEDE2tkWjOxxZuWJTpxNHnV8r8VEL4eIVBoskmtEMJipKlYHfRqEfutU0pBjqHV0wBOt5BzR+BYvY3MqzYZNQiwejDFH2o1INDbAD+DBME6dyT7CFEeqUdHkg9a4k3ozPZHcaIPwrx0SArUozTahNpoHQoC1SgMVSM3WIWKCC2KI9TIClQj1V+BJKsM8b4ahFpIZIoR7K1EuNXIYlwyd3sWFSY9QVxCSpviY5SlQhxDGSuUMKEQOkIldGBKniIBZGlxIutVAdjc798ChBNjnJKnwdlX4UTxKsrscINRK0KAtwrkA1CmByUM6DVy6FUyeBvVzFH0MWlAYizYzxMmrRJGnRK+Fj2LcZHHbjXK4akRIdQsQ5ZVieYEEwZy/dGfbsVIjh92VMYgKTIASUFmtOf4oznZG13JHmiMMaA5xYzSOF+0xRjRnmxEU4IFZeEGFITqkBVsRIy3Cj5MkUvZHH2YrwF6Mq/dneChEjL/RSd3Z7qEcsEIFJZCJCDd4gKVwJ4dUoELM2Ao8YHowAHzR7nk3wKEuxkDhnMMaW7AiRLaHBg3kOlKs380+UThb+IYvUbK5DFFXknhe5u18PMywstDy84bNTLme5A3T2D4KoVIMIuYGGpINGM4LxDDeSGYLovE8Z5szDakI8LLgMo4L+ztSMFAYShGcr3Rl+6BbQV+aEnzRUeyB8apLccL3RneaEvxQUm0GSn+GgSQuUtGgkGKAIsGFLpRCW0WGYkuigQQGEyfkE4R2DOxRoDQObXYgf0WOFOEghedIHB40YrN3LDVbxsg0j8XfqeLtzrI3JWwAKItx4lynwgMlVzACE75TtxhNhBHyOFp1kGvl0Mmo0ChC8ujIgfRV+GGGA85yoJ16EzxwraCAIzmBWBvQypODeTjrdkGTNSkMMtqvCISl7fnYUd1LKbKgjBdHoTZiiBsyw9BV7YvlsoDsavMD9MVftie74fODC+URZkQ7S2Bj9oNnhQv0ykRYNayZAkSR2Taktii9CESXXSQ/iALTCN1ZYBopU7MGCD9QpKBo8lWBH9Zmw2Q5yRbcwO/asmZuzRLR7OABABlj9gmjZwZGKQ/iDM4q0WnlkCpFMJoUIPqJA5IkVLwzkvmgkiDAIWhWrQlWjCUFYCR3GCstiTh5kwNPlxpxd393WjPCUdigApH+tLxxlgOdtfHY1dlBHY3xWJvXRSWamLQlx+Ew01RONIcheWGICxWhWKi2BcdqV4ojNQj1EMIcjTJiqMPgebt2XyMzJkFMQkQsrBonoUAsU0RuDztQ/M3BJKQrK0N0f1nxNZTQCjB91UJv1U/egjKhyVxRUnPaoWYzZOTiGIpmyIXpje0CpvpSN43AUPKUKWUwGxQs3AHKUoSBXqREwKVLsi0ylAXb0BbshnDOf443JWHd5ZbcP9wB748M4LbKx1ozQzGUHkUru0sx7Xt6djbEMnE2UpLKg60xONgczzGSsNxpCUOp7ricag1GgdbYrFYE4KhbG/UxpuR6C9nXGJRC0GHp1YBvUzI9APLOpE5b/ghNkuLLDEChZ6XwCDzl0ryWyh7hsQ4AUK0ehlXcAByJfND+IBwA2xF+Be1EYeQg0TWFeUwkeghLqH8WcoA0cjFUEpsYouAsuXVurMENFLmNF9NgUAKTRjFTojUClAUpER7khnbiwJwtC8d7+yuwxfH+/HFqWE8OT+JkyMF2FEdj8tztXh7qQbXJjNxoi8RE2VhIEBODGRgrTMW02Xh2NsUhbO9cTjZk4TDbTHY2xSByVI/NCSakBmsQoDODRQlpnQjikpTZFlHYkviAp2KLEZ39k6Ujkqii7iFErk5j54cRHon8r8IEI7AHD1fVHLAUfmMY8i/6EXE33yOuzktByDuoAdjgUCVmM2ZEyCUJ0tZ6CqVCHKyXMRurI2AMqvUoDkLAsNT4YwwowAFQQp0JRuwUB2M9eF03F6qwGdHW/DVyW58fWEU90+OYKklDmcnSvHhkU7cnq/ArblCvDlXhqXmZKw0JeHyZCHOD6VgqiICy80xuDKcjFO98TjaGYV9LRGYqQ5BS7oFBWFaRHqIQRNgJK4oluahcQd5+TqhM4tlkZVImfcklogTOPFFYpb0DAFCvgoZNBwgfHq+Sv2VAOEG2gwC/aYbU2SXuIOinSSCKMrKcQd56bYZPRcGBoFFThSBRVykELuzqVWDQsrmO7zkTog0uqAgSIK+LA/saQzF+W3JuDmbj48PNuDb03345twAvrk4hjt7O3B6exHuH+nCneU6vLNYgQ9XqvHRwXasDRZgX1MS3tpZjls7CjFXE4u52gjcHM3Aqd5YnOiLxWpLOOZrQzCQ74fqWD3zTcijN8tcGZeYKMeL0kjFLiyllBxBAoMOCliSqSuh9SgudlCKHJ4CQl47RyuOdq9a/g4QbiBGbG7CacO25p/j6hwgpD8oi4SIbBNHxCm2ZDVShgQQxYEUYgFUImoXsRgRecb0wuSEmeXOiDQJUeSvRHeSCSuN0bgwlo0354rw4EATvl7vwbdn+/HdxXE8OTWG95facG+1G58d68KHextw/0gTHh1tx6fHB3FhvBgH21Jwf3cTPl6pwe7aWEyWWHFrMgcXtiXgZG80jnRFYKk2GBNFfmhMMiMnTMM8eZPEkQUayf+gOBbpO0pDIkAErjZQCAg6xG5OLLtFKrTbiBA7s7UnBADRiF++Cih0DS3VfibrhL52OsGVHPG3KgkQOmj5gJubCxNBRHzKQiRgiGOIzSkET5xBdZVUBLl4Q4SJXKByd2SBvQRvFQr9ZGiP02CxMgjnB9Nwa7EYnxyqwddrHfj57CB+uTSK7y9N4PHJQXy0twWfH+nEp4eb8NmxDnx+qhefr/fjq4vjODdZgsPtCbi/0oCPV+uxvykew7meeGMqG29MZeLcUBROdEVhX2MIpos80ZVuQWWsGemBKvgpHUDTwTSHQ7Oc9EFR+J2maym1iDiAkikopE+gSF3JWSRT2IGlq9JiIM7CIr/kVYDg93lGh7wKEBxQNAjHIZRVQonSZGGRVWUTSTai00vRQYCQHpFIbCmZFD0l+WwWOSBYL0ZllCc64vWYLvDC2f4U3J4rxof7y/HF8UZ8e7IJP5zpwa9XxvHr1Sn8eGEEX57owZPjnfjyRCe+Od+PL85048tzvUycHd9egLW+NDxcbcD91Wqc7k/GdKEfbo6l4YP5PNwcT8ClwXgcbQ3HQoUfhnIsaEowoTjSgCizgE3j2gwTN8jcKXHbAXKBjRtoDp04hX1oIpupS3pEIaF4lyNbXMS3sIimfIK/qE59fwcINW4+OBD47dzA1EbA0G+yMCizjzl4UgEDgilzCS0pc4dU6gqh0JEpP4qu+irdEaZ3QYZVwXyNqQIrDrdH4e35Itw7VItHrzXg61Ot+P5MK34404VfLgzhr5dH8I9rY/jl0jZ8f64X357pxLfnOvDlqRZ8faodn5/sw8HudJwbzcfjI814sL8S13ZkY7Y8HFeHknF/KQ/vTKfgjdFEXOi3gTJZaEF7sh7VsUYkW2XMByKrj4wTsqRIiYvcnOHqYkshpTRV+k26xHZQUp4j0zUkIcg5ZpJjY40mR6uXlUTLV8rL4gPCDUoXc3W2FpG4hAChtBypgB0ksuggEaXRSNg6C7JOSGfQOgwKXVA4pDvdgol8K/a3ROHceAbeW63Gx2uNeHy8CV+f6cCPl/rw66Uh/HphGH+/Oop/XJ/A329M4Ner2/DzhW78eKYN36434ofT7bi/rwlHOknc1eCzY0349FAV7syXYG91LK70JePhUj4+mknHnckU3BiJx5nuSOyu8UdfthnVCQZmAvsr3dh0LTmpEhGlpDqCUpjIE6fD3dkJIhdyEl2eBh83A2LnbM8WzXI0elnJfeyvBAjXmQ8Cv41xCD2owAkiSkwj8SQTMo+diSu5zRv30Kuhl0tY+k5soB5N6b7Y2xi34axF4dS2NNxcKML9o7X47EQzvjzZju/PD+DHKzbO+NeVcfznzV341615/OvWLAPmrxeH8OPpVny/3oTv17twbawA6/1puL/aiE9W63BvfwXur9Th0nAe3pkqxKO9xfhoPhPvzmbi5kQiLgxF4Wh7GCaKvdGeZkRxpA4heiFMUkqocIVYbM9mC0l/EIe4udmS/Si6S5xDWZHM+RXbPHjy5Gmy6o8Awqfl7wAh4nIHvyMfDA5t/nliUwKEkpuJQ5hSlNByZReo1WJYTFqWrUihdVpqUBhjwY6qCJwdTMX1yVxcncrF1R15uLNSjk+O1TMwvj3Zgx8ujeEvr4/j75dH8c+LI/hf16fwjzdn8b/eWMR/3VzAv67uwM9nevHzmW48PtiKIw2RuDCQiod763BvqZKB8un+Jrw/V45PlirxaLkQnyxk4sP5HLyzIw3XR+Nwrjcae6qtmMizoClez/SIQexkmxMR2KwrElOUsOHqZvMzyKokZU5KnPQJAcEsyo05di59lqPVi0o+HV8ICJODW+gUGpxTXCTOKOxM4oqIT2soyN+gg/QJiTAKIHoYNdDqZPCwUE6tFnXJnjjalYDXRzOYAr+9VIZbCyX4YH81Pj7SiC9PdOGHc8P4/uIofro8hb9eGnsqskix/3plJ/7j5m7869os/nZhFH85O4Q3J4qw1hKDNydz8PFyFZ4cbWOO5MNjnbi7Us9AerinEA8XcvD+zgy8uyMbt6bScGkgBkebgrFSYcVQupnNRHrJ7WFVCWCSOLOVuwSIu7srnF0dmCiixD9KXyVOIWCIWwgQMlbIV7ER2Zax+SIw6BwHCNVfCRB+GJm7mA8InaegIiltWjXLAUKiSyJ1h8mshV6nZBFdi0nJplF7CoNxYTQDb01k472FIry3XIrbC4W4u1qDz09145tTvUyJk5746coYfr06gV8vT+Ivlybw84Ux/HRxDH97fRf7/dOZUTxabcf5vjRc2JaGd5ZK8fi1Zjw51YOvLgzhs5ODuL+/C5/sacTHc/m4O5mG93Zk4r2debi9IwvXt6fgTE8sXmsJx0xpAKoSjQg1OiPaJEGQRshWXnHc4OJqz5YjkPiiCC+1k5VF4XkZiS1asiCgjQ5s7gA3R/IiUDiaUvk7K4sTV/yS7TPCU+Lc4DQA3ZiUupu7PdYvrZYAACAASURBVANDpbJ56wqJmOkT8tyt3mZQOwu165VsOcF4XTAuTaXhjV05uLu3Gu8uF+HtxXLm4D18rQufHOvEZ+sDeHJ2CJ+cHca7h7vx9nIn7q724/NTI/j20ih+uDaGH6+O4bvTI7i7WIeb0/l4a6aUefVfr3fja4p5nejB42Md+GRvFe7vrsTdmSy8uyMXt3fm4vpkFi6NpOPi9lScHUxmsa699aHoyPJEpo8rykJkKAxUIEbvBA+JHWQi0iMOjEtIdBEYcjd3SAQ2a4w8dlqxRYBwHzGJrs1cwNFvc/lSQJ4it2lRztN2njijjHadUsYCiRSrkkoETJ/QPIfVamRg6XQ0+SRCpJcK8y1xeGsmG+/MFuOdPbV4c6EY12fL8ObuWqyPlOHEUAXWJ+pxaFsNdrbmoDs/Eq1ZoRgpj8fhgSLc2N2GOwc78eh4Hx6tDeLhwQ7c31+LB0eamY/y06l+/LA+gK9PdOLzw834YLkC16eKcGF7Pk72ZmOlNQFjVSEYKg7DttIwjJWHYLzCHwMFXmhINqM4VI7GBD1aEvWoDNcgyUsMD5kzJE60/sSF6Q6R2JmZ9gQAc4hpbkTmzIKo3MYDBMyrAkL9nhFZfK7g9Ad1Yrvx8IhPgLAY1oYBQAsfpbR6VqdkEV56UBJVZH2YTVqYLSoolEKY9Ao2sRPnrcWhjiS8uTMfZ8YKcXKyFMd2VODIzhYsT7RivLce4z0tGOpoQ11pGYoy4lCaHIrmvEj0lERhpDwaEzUJmKxNxFJTKva3p+HCWBluLdXj3qF2fHqkC/cPtuODAy24s1SLMyO5WKyNxfbCMLRlh6Eu2Q8FUQa2GCfKW41oHw0S/BTIDFUgP1qHjGANskN1qE2yoD3NjKZ4I3KClPDTyyCws4ebI+lGd4hltqUOJK5If9C8CYsMywRsJwjajYKbReR/xJs5g/tNfZ4RWXxA+APw6/yLuXZavEIAaLViFo4mu53NGipE8LGYoNUooFLTInxbcDEvTIML2zJwuD8Xs70FOL/QjPOrfVjd1Y3JbS0YGmjGcF8HBno70NFSgZ7aDIw3JWN3expWujKx0pWOPW0p2NOcgsX6BDZLSEQujLOiIzcKwwUx6CuKRVNeGKpTglCZ4oXGOE+0JvqgOtETFXEWFIbrkBOsRkagFimBBoR6yhBqliDaLEU0LSb1ECA3WIbuDB1akwxIttpWdknc3ODu7AKB0BlCkYttHoeWXotsSX16WoKnFrHYnqO9bbXVZpq96PdLAXkqCzc4hAZjiopuRuy4wZJSiYglt9FcAclUElk0Z+5rMbKME51axkByF7ogJ8oDy+1JmO3Kw+GpKtw52on1hWaMtuZjoLkIs6ONWN3Rg+MznTg9W4v17fk40JnEZgKH8oMxXBDCZgLXulNwaSwP10cL0F0YgbwoA+oSjWhL90Fnui+qKT4VakFxlAdaYoxojDWjnlKHwg2oiDKwadzJyhDsqolBd0UUarLCUB7ljdxAFeKtUsR5u6IsQoT2RBUyfdzho5eyJD6aTiB9Qspco3KDSrHhIFI2Cq1f0YnYolP6UGnSjgNgq5I+aq6d6s8Awn3xLysJEFpfR1+AA1kTrvZwE4khFLnCXWjHTF25TARvi4FlLFIWOyW/UfiEpm9p6Vp+Wiim2wtwYTwfl+YrsWegFGMtOdg9VIXz+4bw3vGd+PjYGG4tNOHEQBbmqmLQmxWC+mQr6hO90JFpxc6aGJwYSMOFiTzUFYSiLdOCqyNp+GBfA+7srsRcZSCSgozICTWiPESGnEAVsgOULFRTGqnHYF4QFhoT8Vp/Ds5NlmFtKBt7G8Oxs9CKhjgD0vwkyAmSoiVRiZIACUJMUrb4lBIwKABJ8S2ZwhkqFa1ttM25EyB6rRBCgYttA52NaDlH9K1KPr3/ECBcCIUG5TYNo0gv7Qjk6uaIWKsG6RFmFq6mnFejUc4S4bQqIUuAM+lV8JDT4hkJokO80VWcjCPtsVgbysVqbyFW+tNxZrwIb+/twI3lbuzryENnVihbPlAc44vSBH+050WgN58soQD05AZiT0sCzm0vRna0AcWhrniwUo+/vzmLHy7341BnLEuEoxShgkAVEkwSlmSXF6xBeaI3ihODkRETgLQwL1THe2GwwB+z9aGYrwjEYJoJZSFyFISp0RivQmWIFOEeErbcgTanoUxJFu2Vk+Nrm00kk5cWElFiB4WLnByeXcNOdCPi80Hhg0H03XK/LH4nboCnbaTIWf4u3cwRTi7OsLezQ5BJjrWWHByoSUNuoBneKiHMRinMBjl0GnfI5O4QSMRsFVRxsAb1qd6ozY7FzrpYHO9Lxmvb8nBgMBlnRvJxrC8LTakWVCRZER1qgV9IECJjQlmOb1VGCMYq4jFWEI6pkijsa0/GUkcmiqO1mKsNwHcnOvDNmV58v97Agok5fhKE+toS5OLNEqT76lEV74fy3GRERsXBOyiEWUyUIEeZjMl+asYdg9kmNMbLUR6jQUeiAQ2RMrYyl5Zpk7lLIRWyrigASZYVi9EpKXOfNrpxYxYm+Wr2tM0Tj0s4OnLgcL+58qUcsuWFT7dWojUgjgyQjBAvrNVEYDE1EMNJgcgLMcJXKwdxB5tvpjlosRtbzzee54N9dUFozw/FTEsKjm/LwKnhbBzano7VziQMpPmhIdaCvR1F6ClPg49RD4tBy5Y5Dzfl4eR4LXbmBeBIYwpeGy9He2U8urMseG+2DN+f6MaTo834anc13u5PQXekDsGeAqQFGFHgr0KyyQ1NOaFY3N6GlNhQyETuULrbIdZbieoEfyR7qZBiEaM5QYfedAPaUvQYydJiLNuAwlgT0yMiV0c40HI5VxcoBbYseVobSfPwJK6UMlcWyaAtnbg5EY7gVHIA8du4+u8A2QzAVhf/puhtYQSaMfQz67CnKBx7M4JxqD4Hc/WZSPHTszV5NBVKGSd6lRx5kR442hmDCyOJ2FUdhx0NcTi7owDnp/JxbHsyVjtjcKglGacH8vDmdA0ub2/AUFEq8kM9UJ3gg2PD5bgwUoyDtWHMn1jszkN9kgGLNUF4stqJ7w614rvD9fh2vhbv9SRhLt2IZC8XZAdp0BBjQGOoCqMF/jjQn4fJhmS0ZgegLS0Qk0UxmCuOwVCKL5ojdWiKVqEnTYvBAiN2lntge44HyyWmPGHKpKd5ERklBIqcoZTbVvnSotBorZClMXFuAwcAR3DuN5+u/PozgHAnqOQPsLlOgJBiJ/1B5+zsHODi5IzhjHBcacjCtcEq3J7pwEBhDEtioyVplEZq0arRkeWH16cycGMmi81Z7OtNw8mJdFydK8elHaW4OF2E6wsVuDFXitu7q/HgcA8+PjKIN5YacHGsGOeHcnCmOw0XhrJwaVcZ5triMFNuxY2pPHxzqAs/HW3Dd6v1+GahHve3peN4iTe6whUoCpaiMUGL7ZnemMn3w4G6aFwZL2c5XqcGMnGkKRZ7KgMxX+yDqQIvjBX5YHuxF3ZUeWOhwRfTZT7YlmVAVbgcOokNEI3EkekUrdoFPhIhAoWOyDcJEWeQsngXLZneiqab27jfRMstAdkMAP3mFDrVn+EQModpYwA7O+SEeOPOUBVuDxTj4Uovjg1VIC3MAq3anc2H0Lpw8ojf2pWPm/MFeGt3KW4fqset/RV4Y3c13pqtw42ZclydLcS1uRK8vlCBN5Zr8f7eVtzaXYOrU6U4N1yIUz3ZWO/LZbrmZH8SA+PRvhZ8d7Qd3x5swterzfhiuRZ3t6fjQpU/ZmN16IvVojdJi55EEj++2FMdiyNtqTjenY5j3Yk42B7LuHNvWziWGoNwuD8W66PJODEUj4NtwViutmC+SIv2eCVbm0KRX1plZVRRHrAbgsTOiHCzQ4XZDbFqN7aG3Yly1cg94OmQF9WfAkLuOtdxKzD4bRwwVDI7m27mZMcAMSjFuNBbjAejZfhksQ1vLLSiITuKhUs0GhFbbz5fF44PFivxxmwp7uwrwaOTrXh0phsPj7eyGNSDQw0swHh7uRJvLFTi9bkKXJ2txdXZalzeUY0L20txeSQXV0fzcWU0H29N5ODefDm+XLWB8f3hNnx3sAOfLZfjzrY0nK8MwFKiGuPxCoxn6DCda8ZKZRiONidgrSMJ673JOD+ai/OjWTg/loaL42m4MpaCaxNJeGM6GdfG4rDeHop9FSYs5WvQl6BCpMHNlpslcWXTvVa5GwIEdsiW2qPKLGX5XHYb2zf9qeDiZkAIHA4EPlC/cQY3zWtDnxQXKTDikrGiWDzc1YBHSx24vbMCA7mRCDQpodNJEGYR4UBbDN5ZKGf5Ux8eqcWj4y14tN6Jz0924cnJTny13oavTzbj4eF6PNhfiw/3VePdvTW4u1yHByuN+GihBh/uKsHdXXl4bzob93cV4vFSNb45YOOQbw4049vVZjxZqcK72zNwssIHi+lKjCfJMZ2hw0qRBafqQvF6byIuDCTi4rYU3JzMws3xTLw5kYa3p9Px7mwG3t6RhBvbo3BlOBKnu4NwsN4PyyWeGEnVIsXLiS0CpayZAJUQ4Uo3xAkdUKV1RrxeAmdnZybSSY8QzTgaPq/kaE0f+VOzd3Nn6sRvY7958Sw6x+kQOkfmHSn3cLMS7+xsxVeHB3Brex6mc8MQ4alks4e03dHRngTcWSzFjflifHi4AZ+vd7Iw+fdntuGH08P47mQ3flhvw6d7y/DxYiE+2V2MeysV+HipAg92l+PecjnuLpbh/mIx7u/KxYNdRfhypR5PVhvxZH8LvjlYj2/21eKr5XLc6o/HkWIv7MnVYT7LgMU0A44Ve+JsQwhu9CewPC0K/9+aysJbY+m4M5WJu4u5+HglHw/25OH9mQy8MRqHC0PhWOsMxUq1D8azdMj1dWaAyN1dEKJyQ4bBFaUKAfJ0NA/vDAc7Z7iQw/wSL52jLx+QZ3QIHwR+nS4k9DgOYeKKJTY4snYCw4Upd9olxw57ajPw1clhvDdajNcaU5EZbIZSImQ7+LzWl8QAub5QgruHGvHkZDu+OtWDX84P45czA/jpdA9+PNWNJ0fq8PlqDb440IgvVpvwZHcdI/yX++rw+Z5qfD5fic9nK/Dl3lp8tb8Jj5dr8fnuWny7WoOfDjbiq90leKc/DkcKfLCco8VygRmr+V44VuaJC61heHsgDvcmM/FotgiPFovxeKUYT/YX4esDJfh+tRTf7CnGg52ZuDMSj6v9ETjb4Y/DDV7YkWtCno8r5O6ubHVVmM4RlWZnVNFuFGLawdT2cTLuoKXhr6A/OECo/B0gRGw+GFxnPppcHzpHUV/GlrRvIj2MnR1KI33w9cF+PJhpwO3JKmwriWcKMNgowYH+NNyYL2Rpn3cP1eGTtSZ8td6HH0714dfTg/jlZC/+cqID/zjXj5+Od+KXY93s+H61Fd/tb8G3+xvw3b5afLePxFQjvj3agU9XqvBgrgzf7GvED/sb8ePhBjxZKsa7vQk4UW7FXJYaSzkmHC3xxokaH1xtC8Pdbcl4vCMH384U44flSvxyuBF/ea0JvxxrwI9HqvHNUjEeTWfinaFYXOoIxNlmXxyr8cZ0kRnp/kLbXIjAAdkGN/RaBQjXSJmUYOauk81pduVNW3D040o+jamNfhNdXxkQDpgtS0p32VirTWKLgnB35lrx1WI73u7OxvHWfGRGmFi4e749Hq8vlrCMxA9X65gOIUC+P9GDX9Z68LcTffjn+gD+dXoIf1vvx19e68Ovx/rwt7UB/HSkGz+t9TDn7+tj7YxzPtvbiI/myvBwrpwB9vfjg/j7yX58tVSG250xWC+3YjZNj6k4OVbSTXitPBA3OuNwbzQZj3Zm4KuFIvy0Uo2fD9bi56MN+PloPX48WI2vF4vw6WQm7gzG4nJnEM63+uNEHQeIGGInO3iIHVHnK0RXkBxGkSsz/8nAIauTiXPKgn8Oh/DpyAFCbb8DhBo5FLmSu5j/m88ldJ6xqL1Nj1Bc60h3KX48OIgrzQm43JuP05PVGKmJxXxbAi6zmb1ivL+/Bo/XKIG6F385NYC/nejHP09tw/85P4H/Oj+Of53Zjn+cHME/zkzgX+em8M/zU/jr6TF8e6QH9+cq8eGOInwwVYC7u6rwxf4G/HSsi/X7z0vj+HKlAu/0xONUbSCmU+QYiXLDzmgJdmeYcLk5Ah9sT8KD6Ux8NleMb3eX44fVWvzlSAN+OlCNL5eKGPd8MpqBdwficbk9COeag3Cy1hvjOQZk+snhIXJAmMQOAwEilFmlcCUa2Nk2ESBasFgf7TX/nHgWR9PN5TOAcETmI8aBsLncPJBtqtKmU4hLeorj8f3ZCdxbasTl8SK8v9KC05PFWGxLwOnhTNycKcEHq7UsoeGLo10MkH+c3YZ/nhvH/3N1Dv9xaRcj/v++uBP/ODeFX46P4IejA3gwW4uPpipwd3sh7k0U4O5oFu7NluGbYw1M//z1zDb8vN6Lx7vLcbsvhVlUO1O12JWixYEcC3Zn6Zmiv94RjY/GMvGYRN1yDb7dW4OfVuvw074aPJkrwMOJLNwbTsHtnjhcaw3B6cYgHCw3M+cwy0eKaIUj8vX2GI9QINIgsm2ybO/yVM8yGjKl/vsAI5++m+m4JSCbO/F/c8Dw25jcpL+HoCiwg21P25QIb3x4uB/fnN6G9w924NZ8NS7sKMJsUwwOD2Tg8nQhS/n56EAjPj/Uge+OdeLv57bhPy5N4z8vz+C/ri/gn5d34a/ro/hhXwce7arG7aEc3BrOwXuTZfh0rhbf7mvFl0s1eLy3Dl8dqcEPx9vw/eF2/HCkFY8WivBmRwzOVPthX4EJ69WBuNUVh7UqH8ynqnCo2BvX2qLx0XgevlyqZeN8uViJrxfK8cVMMT6dyMVHw2m41RWDK62hON7gg+VSI9rT1MjyFjJR1R8lQ3uoguX9smRBinxzG/lvOMwcvbYqORryGeEZQLgOVHKd+G3PRZbpEEfmILJNhh3s2fZ958dr8fOlcXx+bgIfHe3BhdlSLLbF42BvJs5O5uP67iLcPdCAJ0c68NOJXvzj9BD+dX4C/3l5F/736wv4+4UpfL2/E/dHinC9PQE3+lJxf74GH87X4tGeFnx9qAefH2jHF4c78cWhZvxwrAt/PzmEX9Y68Xi5GO8OxOJ8nRXHq71xsS0cb3RFY702EJMxcuxMUONomRXXu1Jwb6oEj+aq8XimAp/vKsPD6WI8GM/FewMpeL0tHGfq/XG00ozFYhNq4+Uo9BNgKkGFnVkGpHoQd9hytZilyfaIJ6vTniXLccHFrQDZip7PBWQzENyA/HZ+ne3+Q4senWzL25zt7DFSloSfr+zA1+cn8MlrvbixXI89XclYaUnGqbEcXN9Tig8PNuKLox1M/v/1eB/+dnYE/zg3jr+cHMZ3B7twb7oS11oTcLohEu/NVuCrY314sLsZt7eX43BVDBZKgnFxKBePVlvx84kh/HV9DN8c6cST1Xrc6E3BUr4fxtMs6I3RoCdUiuFYJQaCRZiIU2G1xJeN+/ZQDu5Pl+PhVAUeTJbg/kQxPtieg5sdcThT449jFV7YV2rCrnwT6mIVqAkWYy5VhZF0I3zlwqeAsPnzjSwTMv+ZLnmOUn8ePf80INyAfJTJ/KWHoq+DzN/EEBMeHCVnbxseHu3GR4e6cHgwG0ttqQyQNxZLmWJ/uNqEL/c1MlC+O9GHr9a6mZP3YGclLjfF4lCJD26N5uPJkR58vTaIx/t7cXukBss5kZhI9sfuoghc6c/DvYUGvL+rFndna3F7LA8LWd6o8JEh2SBEsNgRcTJnlFpcsS1GjsUsMw6UWrFeH4Sbven4YKwIH4wU4N2BHLw7ko93R3KZSDtR5Yu9hWbsKjBgLNcWXKwNkWAmV4OGeBUkTs629ZUbISTOV+PTh1+nj5j7zf+gufoLAdl8IfebSm4Aqj/9EjZMPvpHHDs7J+jErjg7XIZf13rxw1o3vlgfwYnhHMy2xeH4aDremi3E20tV+GB/Iz5bacZXBzqY+PpstRkfTpfhbEs8lgosuNARhy8OduHbtSE8Xu3Ap8vNeH9nE14frsPprlKsteXjUEMqjjWn4bX6FKw3p2KhKBhlXgLEye0QrnJEgtYF+V4itEVIMJuhw9FS+vL9cboxBBfbYnGlNx2vD2ThZn8GO651JuNiawwOlvliJkuPiSwVhjM0KAuXoT1SjNl8E1L8FQwMvnjn0+iP1Dl6/m7BDneCyucNyO/D9bPZ3hvRTWYGOzAuyY/0w/sLbfj17Di+Or4dp0dKsdAaj2Pb0pgv8vZcOd7bXYeH+5ptmYV7GvDBbDVONkZjR4YBa+3xuL+nFR+vtOHD5Tbcma3HzalqXB6txOWJRqz1V2KhIQ0ztcnYWZ2MsbwIDKRZURWmQ7TGBZFqAWIM7kj1FrP8qv4kI3blWLCc781E1qGKAByrD8N6ezwu9qbgWl8SzrXFYL0uHGtVodiTb8VUhh7b0tXoSVWhNUKO+SQdZrItCNQLmLjiaMDRa/Nvrv15JZ+ezwXkZRfzvwqyrjizl21OvxHDsXdwYZyS7KPHaFky2rNDUZ/uj7mmZBwj03ehBAyQ2Sq22unuUhXuTJdgvTUOO/M8cKQ9AZd2lOPSeA3Ob6/E6cESnB+uxPltNTgxUIHX+uiowp6uYkw1ZGGiNhuDRXFsqXRVog/SA3SIs8iR4Sdl+6M0RpvQm+iBgQwzRjI9MJ3hgdkcbyyU+GJfTQiONIbheHM4XqsJwrGKQOwv8sPODC9sS1ZiOFmLgVQD2iNlGE8ysTl6IW3LRP8ExNMTfOLy219U51/zO5FF4oeOlw1AgDwFheJcFIJnisw2i2iTpU6wc3RiXxFl8jk72LFt/UYrY3F0KAdXZ8rwxmwxbs9W4p3lKry3VI5rw+lYKQ/AWlcabszU4cS2AhwdLMTB/hKstOfjWG8l1ofrcai/EsudRVjtLcGZ+X6sDFZhoi4Dw+VJ6C2MRnduMFrTrWhI8maZiO2pvuhMDkA3bbWR7onuDF/0pVqwPdMXYwVWjOZ4YUeRD/ZUBuBAZQCOVAZiudAXExlm9CZIMZyoQWeiBlkBYvbHMZTXa+fgyGJ4fFpxxOW3vaz+lI6bPXUODCppYG6grW7CtbF+G4FFdv1GLIySH+gcxXMoNG9nT/6JbQ+UtrwgHB7MwZXpYtxeKMGNxUpQsPH27lKc70/C0dZYnNlWiPXhUpZWenKsCvv7i3FwuBpHBqtxdLASB/sqcGCgErMtOdjbU45DA+VYbsnCbE0q9rXkYakuCXNVUZiuDMVEuRUjxX5oSfVCd04A+nMC0Jnqg+YUTzQkebKyJcmCzlQzdhb7YbXGH/urfLBUZsVotgl9SUoMpinRkqJhf/RCBou9vSNPKvymUzm6EO0YbTbpW46m/JK7hsrfpZLyT3IXcW3cbyq5NioZR7HQPP2HoA1I+t8m6keAEPfQsmniGpqLzor2wMGBXOYcvrlUjGu7S3FzNwFSjCvjqTgxmIyD/ZmYb07A3q50rPblY745BXs6cnB0uBwE0OtzLbg804a1sUYc6CnBye01uDxdj4sj5Xh7phm3djXg+o5yXBzPY3P4lG81WRTEdoQYyQxAZ4o3ymP0bH+trEAlCsKNKA7XYiDLjNV6P6zWemOp2g8TBR7oS5VjKFON2ng12+bP3sEVjvZOGwkMtg+PTw+qczTiSu48/d588M8xQLh/2OFOvKjkBuP3IS+VTF0udZJygZku4UpKF9pYd0c5XKFWHZY60/H6fDluLpfi+lIp3lwqwb1D1Xh/pYgta1voSMBYTTima8Ox0p6MQ/2ZOD9VjotTlbixsw5vLzbizaUWvLHcg2sz7bi6oxW359vw7kwjPtrZhMdLbfhoVzVujOThUk8iznTGsrUjtAnNaLYnutJMqInXIjtQhgRfEeK95SwRoifDhINNfjjS6o/lWj9MF1kwmKbCtkwtyiNUbNWtHYlmZ9u+7y68f27j04SjE5VcO79tqzr1YzrkjwDCDU4lX/bZopqOtr0H2VfAl6+0jeoG59jbsX8pGKuOxsWdxXh7by2bO785X4Z7RxrYusLXdxVgR10EJmujMVsXhcmSYMxUReJAcwqO1qZgvSEDZztycbYrD+e78nG+owiX2otws7sYb3Tk4+32ArxRl4rzFbE4kBeGfblB2F3gj+XSAMwV2/RFX7o36mJ0yPETIcbihChPETKDdBjM9cHx9hAcbw9igEzl6jGYrMVguhoZwTK2dTlbskbvs/EfIhxx+bShNsrL4s69SvkUEEKFP9jmOg32ojY+MNSPf3P6zQ8fkOwlcOozA3FqqhBXFysZMOenC3B7fxW+ONGGd/bV4EBvKvZ2J+FoXzL2VsahwmpCkEiAkmATdmaHYiE7FEt5UVgtiMPBwlQcL83AsawYHIgLwJ5oPyzG+GM62gfbIi3oCjWiPViD5gAt6vyVKAuQI8NTjkilOzONs61i9vXTRjQLTVFsAc/xliDMV3pgPFOPvhQN+pJ1iPASMH1IXrgr+3tXJzjwQOHTiE+Drei3FZ2o7XdWFn/QF9W5m7yKAUABR5ofIDFGip1MxewoTxwfLcSpqWIWBT6+PQ/Xl8rx6VojHp5ow6VdxTg4mIRTo2m4N1eL0y0FKLNoEWcSorMsDLNtiVhsTsZiSyYO9JXiWE8J9lYlYzLZF6Pxngy0qYJwjBQEY6IyCh15VuQEKBBlkLBtPIT2drC6O6M6SMc2PNtW6MO48nBfIq5uT8RqtRd2FhswnKFEW7wMdbEaeGhdQeKKBVFZBqctfscn/stoxu/L1fnX/GlAaBBmVfFmxfgDczejklP0pNipTqDQDqIL7alYGyvE+mQR1icLmHL/4EAVHq134O39dSyB7vX5Urbg5tP9LXirtxj7U2MwkxGLvfUZ2N+VgWPTJTi+WIfTK424sL8ZB7blYLk3DcdnanFqqQnzzH9inwAAIABJREFUfelY6kvD9spwFqWN0glhFTkjVSFEX6gB+8tCmWiiRLsDfYm4MJmB0z2RmC+1YKzQA+2JCrTGypEepGZrBymay+Y4XGzWo01UPytBuHfn04Orc+e4kmvnyv92QIjgnAhjN+UsDjZ7ZpvuJbFFiyT7S8JxYqIEZ3YUY30yD2emc3FrdwneP1CLt1cacG4nJc2V4ONjDXh4vBmf7mvEo9Fa3KnKx8XcFJwtTMKF6mSs1SRgvTMH5wYKcKQ+AftraXOZFBxsSsNsRgB2xnliPtobk/56DHgqMOirws4YPfbkGFk2yZHWcKy2ROLMZDauz+TjUJ0/tmdRqN2I+jglWuO0CDTKGGfTP+uQ8WLvsmFdbuRdcQTll88jOr/P5vp/OyB0g2dA4ZvDZPZSvMvRleV0FcVYcHikGGd2lOLwUCaODmXhxlw53thTgSuztKQtF2+tlODhSdrPpImtqn200oBPpqrxQXsRPqgtwEfVRbjdWIr32mvwQVMFPizLwvuFSbhTmow71Zm4XZWF17NisJ4QiNeSrFiONGBXpBoL6Trsr7RgrSUEx9qjsdwchPMzObg4kYGdeUa0xSnRkGhAbbwSxaFqKEUUddiwJjfid4zgG//ju5mw9JsDhCu36rO57X8EEO4m9CCbH4wUPOckRnsrsK8nEyfHi7E2mscy4I8P5+PsdDFOjmfj9FQe3t1fjc9OtOLTtVY8OtaKB/sa8PHuRtybrMb9vnJ80l2Fx9s68c3kAB4PdeBhZzW+6CzHk45SfNpShA/rcnCdFH+8N3bHGDCfZMCOJB325FuwVh+Ew82hONYei/1dUTg1loJDHRHoTNaiJlqFmmgZqqJVCDWL2ToYEtFcmIh0ok2XPCuuuHfnl//XAOHf9Bmu2Oz8kIm44ZMQIGQO0tdG/1Swvy8Dx0aKcHZnCY5vz8GetiQG0rGRLJydysGbsxVsle6DQ41sypfE2bt7qlni3P3ZOnwy3oBPtlfi4+5ifNhSgPe6CnCntxCv1yfhcmkULhWG4nheIPZmeWN3pgdm0rWYKzZipdIDh+t8caTOH6sNIVhpicT+5giM5ppRFC5HWYySrZ5KD9CwxTikzNn7bgorMYB4+Wp8mlCdE9+b25937rnBxa0G+DNt9HUwT54SIOwdnzqPBAj97emxbflY7cvG8dEinJrKx76uBCx2pOFAfw5OjGTg2kQe3pwpwL19tXh/TwXeXizF24uVeHO+Eq/PFOPNhVK2FPr14Sxc7knHlf4cnG7PwFp9Io7XxWCtLgJ7ir2xWGjBbKEHdhabMFNuwXyFBSvV3thTYcFiuQ+Wm8OwoywINVFSlERJURUjQ3mUgm2KaZsR3Mix2vi7cnJ0HZ2dfucObEWjF4HCB4b6/Y8C8pRV6atiHGL7X3JqJ0CsnmKcnyjD6bFC7OnJwsmJXJwez8GBoRwc2JaLw4MpODeehjdncm27PcwV4+ZMAW7OFePadBmuTJaw5Wwnt+fg4EA6lrtT2eTXrsoYts/iQn005qrDQbsMTeZ7Y0eJHyYLvTCeZ8RMqScWSrwwkafFRL6BZdDTvlnlEXLUx4lRHytDSpAGtGMDt+KYex9+uRUA1PYqfba69t/SIdyAz/sCnj4UiwTbZC23AwQBQn91dHmqiGW+rw5mY7U3A2fGS3BqugyHhjJxcCAV53bl4tpCMa7N5LKkiPskuvbVsD0YaePLK9PluDhcjMMdaZhvSMCu6gRMFkditCic7bU4VRqCuYowLFSGsGjujkJP7Cz2wCwtNcg1YbzAhMF8PTrT9SgNk6MqUoHGeAUqo40wy2i+wzYtTe/CJzT37i8ruete1o87/28B8ip+CLsRSxz7LaxPbfZ2Dux/ny5P5uG9vfW4OF+N1Z4cHOzNxpkdhTg0nI7lzmS8NpaDK7sr8fpyCW7tLceD1xqZ8/jZGq1Jr8d7+5vw3lI9ru8oxdntBVgfzMN6Xw7WujJwtCMRax0JON6VgEP1Qdhb6Yv91X5YrqRQuxljuUaMFnmiI4N2xtahJFKD0jAFGmJUyAhSw9XZxbYkzdmJffEc0f4ny/8WQAgY/kPaxNOmLSWcbGmntvgOrUt0QIiXGFenC9iq2VurjTg1WYGFllTso+1dJ4uxuzsTK/0ZOLEjD5cXS/HmnjLc3luMB2u1+OJ0Cx6fbMMnay0sc4XSie7ub8R7i7V4d2cFbk+V4sZoLi4PpuLSUCzOdYXgZEcwXmsKwP9b3Xk/R5VleZ6p7tmZiZnuruktqgoKUx5XgPAChBFGOCEh5JB3SFjhjRDyCIEcIKwQyCCDHPLeK6X0PmUQCMp2zfRs7B/x2bg3SYqiq3ZmZ3o3Yn848Uy+fJnvft+x99xzrvp9QaL/XA5tn0mki1jU+RE7naay3ek9di+eSuiqD1k//49SR8hU2d84Ig0/j9S++cx/rf2/CiD2nKSfQBGAiD/4WmS95a0Lk1E4h/Nm/k4WQBZz6nWZvpSl+JFzxJ34kA1cPridS4fcOBfqzKWDa8k/v5PKZA+epO6kNXMvwurqzQmlJztEFsHsvBKMoA6RWproQ12chyz7JGqZlMQ6U358NUVHV3Eveik3wp044fExUW6z8Fn+e1zn/QHXr/6ZHU5CVH1AxJpprJv3Lu/8Rug8AcL/Z4D8ezpEhheEd/vKjhdbYbks+exjuainOSeMJ1d9qEr34f75vWQd8STjwE5OB60i1m85CTGuXDu5g4fntlF/aQ+tl73oSPel83Ig3VeC6c2OlPsd6f705gTTc2Uf9Rd2U3FqK6XHN1F6dB0VJ1x4cGglNyOXcMl/rqzQ4Os8HbdlU1nyxe9YPecPeDi9T+Dq6cSsn86Kz/5RpobK//7KjH/zJftrccTb9/kvccjbN3vz+E3uEPtitZWcN/nb38gA3d/94+85tT+CxsyD1F8Jpu7KPhoyA2X09+65Pdw+vZcLEeuI8ljCQW9n4iM3cuPENjmH0pjuK2v0Nqf50JIeSN+NA/RkRdCXGybrYw1kB9OR5EXd+V2UH9tE8aG1PDriwq3wJaT5zePE7s/wXj4VsV7ded57LPjs92xa+KEUXRHrphGz4UOWfGoHRBRGcDzLm8/3f2v//xkg8gF++xsZDxLcsXWHOxX3s6lMD6XpaiDNmSHUZQRRcdmPB/Ge3D61m5xTnpwOciVo6yJCti8kPmITucd38ODMLmoSfWhKD6LuUoisB9+TFUlfTgTdWYF0Z/jTmuxN1dmdPDyyUZYXvx66jOS982QR/qAN09m69D3WzZ3K0tnvsmbeVPY4zyJs3Yfs3zCVAxunMW/GP8gEDbH2Rcx/yKz2X3AAf006/GcB+0VA3v4RoRMc5xz64e0fdLxFdm746a2yn3ekmdr9j6kfvE9qZjY3s85TmuhF85UQmrPDqbsSTnV6IKWJ3tw95UHeid3SHznkswr/TXMIcXfieMR6Lka4cOfIVopOuJN/wp0Hx915HOdDfaKvzG5sSthL2akd3N6/nqvBq0n2XczJHV8QufEj/JzfY9fy93CeL5oQv8uW+dPwcf6MoHXTCFnzRw6t+5AY1w+Y/Z7dkZXLCt6xW1kOUBw6RYyB49zb4yGOxZg5xu2XPv+lc78IyNsX/hoIjuscYDiO7ZaU3W4Xf0h8Lj6TYmvKO+z08OJG3h3ORntQkbxXAtKYIaylSBozQiUoD+N8pPcunMS4/RuI8HLCff1neGz8ggN7V5AR7cbliA0kBa+WucK50a7c2L+Bewc2UHB4kzR5EzwXyX4jR7d+Sfi62Xiv/FBaU+sWTGXRJ+8i+hj6rvtCFqsJWPk+EWvf48im9zm8ZSaiM7RI9hO5ym9WY3A8o+OZHH6V4/x/dfsXgDh+6Ndu7EDdgfybYDj2HVvRz1Am0P1G9Da0p1z+0+/+wIWkdI4dPkLAlnnUpvnRciWclqxQuW24FExtRjCPkvaRf87LDsqRzcRFbCBqrzOe6+bgs3EuMR7LifVZSeze5Rz3WcnxPcs4vWcp8X4rueC7jJMeTkRs+hIf54/xWjULEVne5DRdiqeVX36Aq9PHeK7+BL+1oh7WB4Q5f0C0KBSw8T1Oesxl9zoneya/MOlluESsybdPyYqcgTdftF8bK3HeMU7/u2ve/EwCIlZ+/ke++OY1QkELa8kx+GL75o3tf+ZvXsd7xAIWEaBbvGwp9wqK2bLBhcDNn1N3KYCm9BDacsJlIf3my6HyXGVqII/ExNPp3bItRXbsDhKitnDMz0WKr63Lp7N95Sy8XObg6zoP7w1z8HedL8tmeK/7EvdVn8oyUOsXfiQL4qxbMJMVcz9gxfz32bxkJiKRzmf1DPyXv0/QqqlEuUzl0IZpxLrO4LzXV5wI3yYLrkmT/lU+gENUOZ5Vbt/ywd4eg//T47/gkDdv8LMffsu3EGC8DYjjenEPsS9AECSqPIhcJgFIcMR+HtfUseyrL4l2X0iTEFWXg2nLCaUjN4qWjBAqE/ZScymQqksBFJ7fI0sn3T7lzq2znmQfc+di5GZCdy7G3eUL3FZ8IdOKNi37mA2LZ+Py1QzWLvjoNa37agbrF87E9auP2LR4FtudP5EcI6pYey//gH0rphLsbC+jEbt5Jic2zeLkzs9IPuHJ+jWLpHnueBFlQPHVczmeVWwd9ObY/Wf3fxUQx484tm/+gDgnRdGrkIgskvnKEhHhdUcOlpg7tyeVie07TJ/1CXeLH1NZ08Dizz8mZscCGq8E0ZYVTuu1MDqv7acjK0I2Z6lK3Ud1WgCPk/24f9aLe2f38Cg5kPL0UG6d9SIpaivH/dcSssMJn/VfyjrAGxdNZ+PCGWxaMhvXxR/hungabstn4b7qc3atmMW2JdPYuXQ6u5d9KMuK+66cTsDaaURumEa060yObp3B8S3Tidk4g5STezgQvoe/nSImpt553U5WKHEHQPYx+XlmiWOcxDUOcpz7j2x/FRDxZTnwb3jcP7uhXKTzU8DNocjFd8QfEUE58SC///27LF6+ivDoI+TeLaRDoae4vAanz2bKZl11af6yB0jr9Ui5qKc7dz+tmaFUpQZSmeJP3aUgSuLtoJQmBVKcKKZ2fbhzxpvMozuJC13HSb/VRG1fSMCGL/Fz+QIfl8/xWC2AmIH7ylmS3Ja8j9uiP0owvFZ+hABDFCkTNRVFrxJRkF/MoR/dOp1A55kkxnpz4+ppvvpitpycEs8jnk0855vPahdjP0UpfjZGv2Am/3ufS0DerOTw8x/7iR3Fn/kLgH7r+IO/fWVB2cWSAGL+goX4BgRzJes6lfXtNA/qaOhT0zlkoKqhjZULv8RnxfuyRntzbgQteftpzY2hMztSiq4nGWFUpwVRl7aP2tQgSpP9KU70J1+U14jbR3FKBAWJIVw/tYfUA25cDN3IGf/VHPVYSvS2BQS7fo7PmtnsWTkTj+X2rEQRrxJg7Fv5kaw4GuAsdMdsjmz5jFi3mZzcZQfGb9VnJB73pfjWReJOBbJs2YJXL5mYWLMrd2GwyPF4Q4/+0mA7xuyXPvulc685RCL/Ro6ROBZfkDlVYvtGkyt57atjOyfYgfj7f/oDG7dsI/nyZWpaOhnQjaIwjNOvtlHboaKkqYdWlYWufiU7163Abc4fKT7jRUtmGG03Ymi9doCua/vpvh5Nw9UwatODeJIWLJ0/sa1ODeFxirDAQnmYFExRSiilqeHcPrdHzjqmRWzknP8ajnku48B20S5vDvvWzJLc4L1sBt7LZuG7Ypb0yEVhS5G9eGTLFxzf/ol0GM/v/gzhqXu5zOPSxRMU3U3l0c2zVN1P4MRhH+bOnWWfyn2lD4UkEOJZgiPG6B3R7fOnSSu5/2rNuhgzAY7DGBLfFaL+7Yqvrzjk3b94+wUrihs4biTBecWuDpHk2E6dOpXt7ru5mptHz7Aa08QzNCPP6Bq20DZgoKlfQ3XHEFXtA7SqTPTrLMSEBrFq+t9zI3oTbdkRCC5pzo2iMzdKAtKes1+CIoCoSQmkMtGf6qQgqlNDKUsOoTAhgOKkIEqTgim44EfecXcyY9xIClnPWb/VnPBazsFdCwl0+Rif5XYRJRKqQ10+JsxlFtGusznq9imnds7hrMccznvN58LeBfiteA/P9Yu4kXOJssJc7mYfp/ZhIkNNt6h+mMDxgx6sXD5HVvJ+/TK+ymIURs5v/5vD2nznFUB2IBzj9ybHSFDeEmt/IbLEF978koMb7ADZV9iKG4kGxAsXL+Lw0SOUllUwpDGgt02gtowxoDfTqTLRoxmnU2mlvmeYmo5BGnqVtCtNKEcnycjIYO3sf0Y4b1WpfrRej6Ipez8CCMElordUa24kT1KCeJzgR1XSPqqTA6hMCKA03p/ii/4InVKZGkLhBV+5bCHnoBtXYrYSH+TCUc/FhLoKD/wT9jnPJnDtLPZv/pyYzZ9xcMvnsrmkaHd0fs8cLvosJN5nofQ/Ns/9HXs2r6HwYT7VlQXcvX6We9dO0lKazlDdNYaa82h6nEFGYjie21cwY9q70nqU4AhFLpLMRUkN0fnzVaNJYQgIEpwkiofKvK5fyVZ5DYhDnr3JFWLfwQWOt0HM+W5w3UhK6iWa2zswWkexjE2itUyg0Frp15jpVVvo0Y3RZ3hGt3pEAvKkS0FTj5KOYQtD4y950tzM7tWLiFr7CQVnd9EklPq1A3IdoiiGLAARZnBbZqTUIRUXfRH0+OI+is/speCMKNvkR0VyEIVnvbh/cjdZketJDXORgIiK1YEunxK6cS4RmxfIKqaH3L7ksJsdjDPu84jzmk+q/2IS/Zdyxmse+zd/zOqP/4l9njuprKygvraUB7eSJJdU3E+m6fFVeuuzUTZfw9RdwHDrPYrzzhET4cHCL2fI9FJhTTrGSpj5MhYmxdZP+lgA4xjvt7evAbEDIWI29ti/Pcxht5bEWo858+bi7ePH7Tv3UGoNjDx9jmnkKUMaE31qCwOaERSaURTaEQb1Y/TpxiUozYMGajoGeNIzRPuwgU61jT7rBGrbOHGxB9i9+AMuR7pQeVlEeyNpuhJB89VQ2QqvNSuctuwonlwOpSzBl9K4vVTE+9s5JM6fh3F+FJ7zpeTsXgpPeZIfu5PUkLXEB6wh1mMpkZvmcWDHEknRbvM5tmshJ3fO44z7XMkVyfuWkBq4hAS/JRxznyO5aOUn73IgLJjm5lZaG6opvJPCvcxjFN2Jo74inc7qq/TWXmeg7g5DzfkY+x5iHCikpeIqqefC2bPThVVLv+KjD95/FUi1W5t/8449DCMkjlwd8DNn8ycr7WeACFAEug6ueO+993Bzc+NCYgL1zS2SG0bGJzFZx1EbbCgNo6iMTxk2TdCvHUOhG2NYPyYVeZ9ughaFkboeJU1dapoHNLQqdPTqRhi2vcT84kfKikvwWD1XipGC857UXg6lOXs/bdeiZLCxOVsAFEZ9eigNl8OkLhEcIgqjVaZEUJoUKteJVCUG8fjCPkpO7yV7/1bOeC0j2m0eh3YulMDE7nHi2O5FnNrtxJndi7jgtYjUwGWkhSwjKWAh57wXcmTnAnxWzpAlx8+dPkZP7yBdrY2U5KdyO/c0xbfjeFKYQlfVNfrrb9PTeJPelrv0tz5A3V6Iqa8M61AFw11FNNfc4cGtDC6eOsSuLS6yf4pjkY/dSrOLMDHeb5vNEhBH6ESw2N/9w9/jtHQxJ0+foqLyMUazifHnLxl79gKz7Sla0yhqvQDCPvh2QOygqMwTDBtHUZgn6Dc+p2lAT12XiuZeLa39Gno1Jvq1IyitL9FP/hmFykxsmB97naaSEuosTVvBJUK5S8qOlFUgmi6HS0AEMPWXwqlNEdXqwiQYZfHB8rgmMZiHxz3ICNkgOeHQtgUc81zKyb3LOOPnxFmfJZzzdCLeawmX9q0kI3QNacEruOD3Fcc9Fsh+uR5LpyM8/syr6SiGNPR0tlD2MJN7uacozjtPVUEKLRVZdNRfp7vxDj0N9+lteEh/0yMGmkvpayxmuLMcbV8lRkUtVlUThuFGygtzCfTZLhujyYiF9NHslquUTMJ4EuCIFVR/+B1ThPP24bSP2L5jN9nXb9IzMCRBePHtD4w/fYHRMobaYEFjGENneorG8FRyguCGIYPgiDFUlucoLeMMmkYZMD1FYXlJj2ZUglHfq5Lc0aW10G8YY8j6HNWLf0X79FtuX8/Bb9lMYrbMRmTAixhWQ1Y4LbkxkgSXNKaFSuUuLK6my5E0XoqkOimUsvOBlMcFUZsSwuN4X1mPMXXfGll0P3bXYuL81nAhcC0JQWu44L9cxqhEf0TRCCArzEUWYRaBSME90dvn4770AzxcncjPz2dYo6evr43yohs8vHaGwpvnKCtIpL7sCp01N+iuvUtHzT066+7T3lhAV1MRHfXFdNQX0tNSgqK9FG1fLWOGbr4dUWDTtVNwJ41dO9bx/tR/lv6M4BYhkQQYPwPk7JkL1D5pxPZ0kqdf/wnL02/Q256jN0+gNz1Fa3mO1vZMktryDDs9RW15itL0FKX5GcPW5wxZX6CwTDJk/Zph63f0asekqGocUNM2bKRdY6HfOI569CWa53/C8PxHujp6ORm0G59lf5QdDESIpPJqME3XDtKWe4imzGgJggBDOIh1aWHUpYVTlxJGdUIIZef8KT8vKpbu5uaBrVz0WcWJXU7E+68mLWwDqaHrSQ5aTcK+lSQGiUKXa8iNcOFqqDOJAas457OEIx5ORG6bh+eK6YTu3UJZZQ1avY7+gW6qS/K4f+M0RTfjeJyfxJOidJofX6Or7h7ttfdoq8mnra6AnuZHkrqbShnseIy6pxrdYANGZQfG4VZGdJ1M2gbRDbdQVpLHwXBvFn4+83UUQOhs4be8++67TJmY/J6Jlz8wOvEdhpGXaK0vJGlsL5BkmURjtYOisU7gILUAwfKMIfOkFEOq0e8kEErbDwxbv7dzyICGpkENbcNmCcigeQLtyEvUE99jnPwzOuM4t69nssf5Yw6s/5Ss/RspueTPk6z9EozmrBg5TyLEVWWKWMYWRE1ysKTqpGBKz/tTELuH3MhNpASs4eze5cT5O5MWsV6uTxSAJAU6kxC4ivRwF3JiXMmO2kB66BoJyBnvpcR6LCF650L2Os/mVEwg9a2tqHR6FIoBqktvSEAK885Tdi+RqofpNJbn0FmbT1v1fZqrC+htfYSis5K+1gp6mssY6qpB11eHQdGGSdWNWd2DVdOJTdvBqLGL57ZunuvbaKm8x+GYID7+dLbddJY1F3/PFOPYBDqr/Y3XjryQA/YaDJv9WGsToEygMT+VpDZNoDLZwRDiacjyLQII1cifUNp+RGH8hk7lCC2DWhk2aVda6NTZsAPyDcZnP2J68W9obd/R0TvAsVBPvBe+T9yehTLxuiwlUE5WiXIcghozwiWHCDCEiBI+iVDmxef8uHPInczwLaQErZeOociCFKmol6M2yrYWghMuBiyXE1rXYjbLCa3LEa4kh6zhrM8yTnouI2bXQkI2zyf94imau/vQGqwMq4aoe3yLB3nnKLwVR8ndi1Q8SOPJo2waym/QWHmXzqZHKHtqJPW3ldPbUir3jYoGzKpWzOouLJpuzNpeCcyoth2bsgmbupUXo4O8sPbSWvuQ00fCWTz/c9lVYoreakVrHUE7MoZuZALt6HN0oy+R4NgmXwE0ieAIIaY05meozc/R2L5GPfIdStv3KK3fvaJvUFq/YdA4KX0OAUjbkEE6iN2GUQask6hs32J49j3ml39GO/Yj/Ror925eI2j9IiLWzCQxYAUPTu2VCzvF9G5LZoQ0h5syomhIj6AxPULOowsnUQCSf9yLvMO7yY7ZIb11scI388AWuaAnPcSFpMCVJIfYqxCJwv/ZBzZL7kkMXst5v1Wc9lnFIc9FHNyzklvXsugc0KE3jTCkUVBfeZuiW+d5eOscxXfiKS9MpfbRVWpLcnhSdpOu5lJUfTUoe6sRgAgSABmGmjBrOiQQJk0HVm0fNv0gNl0vNk0PenU3OnUHT3XtfGvuZdLUS0fdIzLSzjNFWFJ6gwmdySoVuNQfoy9Rj76wy/sxsf8S5cgLhm2TDFteyEEVg6kb/xMq2/eozF9LxS5CJoKGjON0DhlpG9DRqtDTpRql3ziBwvYNqvEf0E58g2Hye0zP/0Way01tnSTFRuOzdBpHt80nM2IbJWe9qcsIeeWbRNJ8JZrGy3ZQnqSGylW4pRcCeHDGm3snvMiL3cX1I9u4dng7OQe3c3X/Fq5ErCMtfC1ZMZuQLVljt5FzcAvpURulAykUv/BbTgc4cz5sKw8f3JV+ldn2DJVGSWP1fWnyFuSdkYA8fniJmuJM6kpyqXuU90pkVdLbWklv82MUXfWo+1vQD3VgUIpB78Os72dUN4BN04dR24tB2yVJACJEmkXbKblo3DTIc5uSKUajEZ1Bj8Folr6GwfrUrtRHX0pOEdyisn2N0BHKkW+leFKP/CDfbrX1JSrTJEqjCJs8RTs6LmlAb6VDYZCxrPZho/TYB0zPGLB8g3LsezTPvpWA2F78iMY2SZ/SSHlBPqGbndi3YhoJPmtk4QChN6S5mxFJ3eVIai9HUHspnKqUYBloLBfmbpwP9896k39mr0yOuHV8N9cP7yYzeisZketleurNY+7cFutQju2QgIh1KfFB67ngvxYRlEyKcCXpkAdlpYUoTSNYx1+gVWtoqXtEyZ1kHtyIp+R2EmX5aRKQxvJrtNXcpq+5iN62CoQy72ooY6DjCZr+NkzqfkzaIXTaYYxaFaNGNVbdAHp1jwTKpOnBouvDpOtHo+pEOdiKRtmGRdfFFK1Wi0anlYpMrTeg0pvQmmzozGMYzEK/PLMreeu3EhghkjTWb9FYXkorS+gVcY1+dBLd2DPUtgl6dTYEEII7OlVm6bUPmp/blf7Y92iffy+tLNPknzBPfEevykxvbz+ZccfwcPqQw65fkBm8QXrfwhkUofjqS6H/EExeAAAJ2klEQVQSkOpLYTJkUp4UwKPEADlxVZwYSGF8IAXn/bl1Yg85h3bYOSTKlWuH3bh9wp1bJ93lHL0QZ8ICE2mraRGbyDqwjUsR60k6vJe6hnqETjWNP8NgMNHRVEZpwWWKbiVTciuF0nuXqC66Sn15Nh21t1B1PULVX85gVzHdzYV0NT5isLMO3VA3Jq0SvU6DQaNErxlCrxlErxrAoB7ColFi0Q5i0PSgVDQz0FsnQRGATVGr9GjUBrQaI1qdCY3WxLDawLDWLJ1AtWkcjUXokJeohQ4QPocwdY3jqCw2dLYxDCOTGMa+Rj/2NUrbpDR52xQmu7hSW+gzjEmRJXSN4DTdxI8Ynv0bhgk7IH0aG93DRprr6zjo5UrA4g+I27WI6/s38fCkhwydCB9F5HFVvArDlyb428uQJ+yjJCGYB3GB3DnlQ+5hd65Gb5WccePoTvJP7ebBBW/unvHkxtHtpIWvIzlYVIZYR/bhHWQdciMjyJnMsyF092sYffo1pvEJtGYjPe1lPCpM48HteIpvJVJ2L/U1IO01txlqL0HZW8FwZ6n0PYQOGeysZai3EfVQBxpNH2p1P0plN8ODHSgGe9Boh7EYNdj0SnTqAQb72unvaUWp6MSkVzBFqdIzqFAzpDKi0duk76HSjKJUj6DVv/I1hL9hGkNlHpdWltJgY9hgRmOxySivbuQFurFJ1KPPpafepbLRoTRJLulSm+k1jNBrsjuFmtHvpVNoevEj1m/+J7Zv/hXd6Nd0K00M6U0UXM/Ff/knRK+ZTlrAam4f3sKjM95UXQykKi1EckdZQhCPLvrz8Nxe8k/u4faJPeQd2yPbWQhArh3dwZ3THjIqLCw2kTBx56wnV6M3yAVBKWEryYnZII0B0V366pFdPC4rks9nevo15tGnGI1mejsbKC3MpPCWEFkJUmRVlmRQW55Fa9VN+puKUPdUMNRdIQEZ6ihD01OLYagFo7oTodCN6naUg210dzTS09PCQH8Xw0P9aIaHUA8pUPQJsLow6PoYsSqYojVOMKi00D9kYlgzgjgW3rhKN/6KRl7FrUbQmMdQm0YZ1ltRGi3obKPoRsek0+gAZND0VCrxlgGDBKVHa6VXP4EQWUKZW7/9V2zf/ZnRH/6H3De//BcptlTmUYbNIygUw5wO98J3+X/nxK5FXAldz/1jHrKkxpPkUOmlVyYEU3zBV+oNIaIknfLm9mkf8s/vo/DiPinOHqeFUpUWRFGCHzeP7eRS+EZSQtaRc2gz12O3c+eQG7lHtlNaeI8erU3G2sRzCA4Zf/oMrbKTuso8im9dkFSan0jlwwxqSq/TWH6b/voihjoeSRpoLWGw7RHawTpM6naprIX/oVO00tdRS2drteSEgYEOBAkQhga6UfR3oVT0YjAMMzKiZYrO9AyVbgSlxiq5ZFhtQq2zSm7RinCJUeiTEUlCt4gwiniTlUYzaqsNjTSXn6MbeY7aNkq/YZQO1Qitg0Y5Zdst7mt+iX7izwyP/kBdn5G7ZS0kZhVwLj2Pi5k3yblbyt2SGmq7lJJbyovvy0aSMS6fk+a7nOv7t5Afu4vyc75UxgfJAOOjxCA5c1iYEERxUgglyaGvt4+SgxGc8TgliIoUHxniF5NhwuLKjHEh/8Ru7p/y5s6xbVTeTKVXPUKrekRytGHkGeYRGz2KAWqfFFFWlsmjghSK7iXalfqDq9QWZVNbnkdL7V16mwqlchcKXtFejn64SXKG4A7BKf2dNbTWl9DZWiXFklY7iFbbj1bVi0bVhUrRiXKgC/XQAEathilCTKl1ZlQ6Iyq1HqVKg1qjQ6szYDBa0ZttGCwCEBsao0UCIrhDbbaisY1IM1f4LPrxF6isY/TprfLBpHWlsaAen5RzI7dK24g+n8smn6MscvFj7nJ3lqzzZpN3FH4xyRw4n09iXjWNQ0YGVVpSjkYR7DSV8+7zyQrZyI0oN+4e2knxGR+K4wIovije/AAJRKmYSbwUQmlKCAKM8pRgKlODpTFQlRjI/dPu5EZvIid6PXdOuElxV3TGg9IrR2nv7JCBz5ZehTR5n7/8EwMDCrwCo1i5bjOeAUHkXDlDRUEClYVpVD68SnXhFeoqrtFQfYvWugI6Gx/Q11bKcHc1BmUrRl23NG0H++ppaSqlubGM7u561OpuDAYFZoMao25QmsRGXadU7EODrdJMnqK1jMu3Xwy21mhCYzCi0epRqbWo9SYJiABDa7L+DBCVOBaACA9+5BmqkUmp0EVEt2vYhBBVg5an3Klswy8mESfXEL5Y7cOCDYEs2xSB8+YI1u8Mxy/sBFGnrhCbUkT89RpyyhupG9DRUN9C4pEQYnd+RZrXMq6Fu3D74GbyDrlx74yPJLF8QXCKAKBKhOivRFB7JYqGzP00yvmVMOqSQyg47s6dg9t4ELuD8jhfqhJ8qUnZQ23hDTrUJroUw/Qp9JgnvuHlj3/mxp37vP/JCn734Vf8YcZitu7aRe7VMzSWXqG+6Aq1RdeoLc2jqVZwST4dTQ/o7yhH2VeLYbgdi65HmrEtTeXU1T6ko7MGhaINg2EAk2kYq0krFbjFMIDFKK5tQj3ciEnfxRShoMXgCnEkuEGQ1miREU8R9RT7Agw7h1glh4j5EPkd6ygCUCG2tIJDRl7IGcNetVWKrYTsIta6H2Temn0s2bKfLf5n8Yi8iG9MCr5RSXgGnSZg/zli47OIy7zP5YIGrpd38OBJuwxhNDQ1ciPuKKm+a7i6z4nrYWvJi9xC3uFd3DnpKZu8lMUHSiex7nIEjVnRNOTYI8ViOrj1agRVid6yunbx8V2Un/fgSbKfXFZdeSmMpronKPSj9CrVaM0vMT//mgG9Ed/QKD76dClzFm3kk3kufDjXme1eftzMjafhUYb01GvK70pPvq3qHu319+nvKkMzWI9J1Sm99KHeJ9TVPKCloYzB/iYpnixGAYZSkkmAYxjAahzEoOqQgUe7H2IdlRwiwgUCDJN5BIt17DUwGoNZiizDq+s0RgHOGEbbOPqRcYTMlSEX4UyNv2DAZBdZSVklrNlxkPWeseyOiCfw2BUOxd/mVHoBCddKSbpWwem0+xw+l0NC+j1y8su5XtJIftUA5Y29PG5soLGnj+amdh6mnZSxqbwYsYbQnTun9kqFXhLnK8EQzmLj1f20XT9Mx+1j9N49Tv/to3TmHKA21Z/yJH8ZnBSZkl25obRnh9NQcIWBIZ2ccBP6UFiRausImTfvsXytK0tXurLaZRfL129n4eodLFqzE7/wSG7kJVNTnkVD5U0Zz+qouU9X00OG+yrtylzTjUHVRl9HJc1PiujpeoJO0yMHf9SqYcSixmYZxmoewmZWYbMMYtB1o9d2YTH28b8Ac1xHyfdaktQAAAAASUVORK5CYII=\" alt=\"image.png\" rel=\"6\" /></p>\n<p><strong>Matthias Seeger</strong> is a Principal Applied Scientist at AWS.</p>\n<p><img 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\" alt=\"image.png\" rel=\"7\" /></p>\n<p><strong>David Salinas</strong> is a Sr Applied Scientist at AWS.</p>\n<p><a href=\"https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2021/12/20/Emily-Webber.png\" target=\"_blank\"><img src=\"data:image/png;base64,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\" alt=\"image.png\" rel=\"8\" /></a></p>\n<p><strong>Emily Webber</strong> joined AWS just after SageMaker launched, and has been trying to tell the world about it ever since! Outside of building new ML experiences for customers, Emily enjoys meditating and studying Tibetan Buddhism.</p>\n<p><img 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\" alt=\"image.png\" rel=\"9\" /></p>\n<p><strong>Cedric Archambeau</strong> is a Principal Applied Scientist at AWS and Fellow of the European Lab for Learning and Intelligent Systems.</p>\n"}