{ "cells": [ { "attachments": {}, "cell_type": "markdown", "id": "f2e8530c-5ba0-4041-a309-18919d5d0533", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "(interventional_distribution)=\n", "# Interventional distributions and graph mutation with the do-operator\n", "\n", ":::{post} July, 2023\n", ":tags: causal inference, do-operator, graph mutation\n", ":category: beginner, explanation\n", ":author: Benjamin T. Vincent\n", ":::" ] }, { "attachments": {}, "cell_type": "markdown", "id": "8f973a4f-def4-4fb6-b166-2aefbdf5eee2", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "[PyMC](https://github.com/pymc-devs/pymc) is a pivotal component of the open source Bayesian statistics ecosystem. It helps solve real problems across a wide range of industries and academic research areas every day. And it has gained this level of utility by being accessible, powerful, and practically useful at solving _Bayesian statistical inference_ problems.\n", "\n", "But times are changing. There's a [causal revolution](https://en.wikipedia.org/wiki/The_Book_of_Why) underway and there's a growing recognition that to answer some of the most interesting and challenging questions requires us to intergrate causal reasoning into our efforts.\n", "\n", "PyMC is rising to this challenge! While there are many novel causal concepts to learn, Bayesians will find that they are not starting from scratch. They are already pretty familiar with [Directed Acyclic Graphs (DAGs)](https://en.wikipedia.org/wiki/Directed_acyclic_graph) and so this gives a good jumping off point to gain relatively easy access into the world of **Bayesian causal inference**.\n", "\n", "This notebook is going to cover one of the foundational components of causal reasoning which has newly arrived to the PyMC ecosystem, the $\\operatorname{do}$ operator. Indeed, depending on whose definitions you want to use, adding the $\\operatorname{do}$ operator into the kind of Bayesian DAGs that PyMC users build every day gets us to the status of building [causal Bayesian networks](https://en.wikipedia.org/wiki/Causal_graph). \n", "\n", "If that sounds cool, let's dive in..." ] }, { "attachments": {}, "cell_type": "markdown", "id": "ed816fbf-320c-44f7-a711-cb4750d86e24", "metadata": {}, "source": [ "## Set up the notebook" ] }, { "cell_type": "code", "execution_count": 1, "id": "efb41c68-2dbc-4f70-b333-eef4c743994a", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING (pytensor.configdefaults): g++ not available, if using conda: `conda install m2w64-toolchain`\n", "WARNING (pytensor.configdefaults): g++ not detected! PyTensor will be unable to compile C-implementations and will default to Python. Performance may be severely degraded. To remove this warning, set PyTensor flags cxx to an empty string.\n", "WARNING (pytensor.tensor.blas): Using NumPy C-API based implementation for BLAS functions.\n" ] } ], "source": [ "import arviz as az\n", "import graphviz as gr\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pymc as pm\n", "import seaborn as sns\n", "\n", "from packaging import version" ] }, { "cell_type": "code", "execution_count": 2, "id": "70a77819-b114-49ca-960e-a8bb504d6af9", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [], "source": [ "# import the new functionality\n", "from pymc.model.transform.conditioning import do" ] }, { "cell_type": "code", "execution_count": 3, "id": "5403941e-6a30-4f93-8533-e219805b2c3c", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [], "source": [ "RANDOM_SEED = 123\n", "rng = np.random.default_rng(RANDOM_SEED)\n", "az.style.use(\"arviz-darkgrid\")\n", "%config InlineBackend.figure_format = 'retina'" ] }, { "attachments": {}, "cell_type": "markdown", "id": "782d6135-2e59-4462-8b9c-9832a58751ef", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "## What can we do with Bayesian inference?\n", "\n", "Whether we are building _descriptive_ models or those that try to model the underlying processes, Bayesians are very used to building white box (i.e. the opposite of [black box](https://en.wikipedia.org/wiki/Black_box)), interpretable, models of [data generating processes](https://en.wikipedia.org/wiki/Data_generating_process). While we construct PyMC models using code, behind the scenes this is represented as a DAG, which we can visualise with graphviz. Let's see how this works using the example in the docs:" ] }, { "cell_type": "code", "execution_count": 4, "id": "b770f730-31a2-42c2-b269-5a0f2091538c", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "cluster8\n", "\n", "8\n", "\n", "\n", "\n", "eta\n", "\n", "eta\n", "~\n", "Normal\n", "\n", "\n", "\n", "obs\n", "\n", "obs\n", "~\n", "Normal\n", "\n", "\n", "\n", "eta->obs\n", "\n", "\n", "\n", "\n", "\n", "mu\n", "\n", "mu\n", "~\n", "Normal\n", "\n", "\n", "\n", "mu->obs\n", "\n", "\n", "\n", "\n", "\n", "tau\n", "\n", "tau\n", "~\n", "HalfCauchy\n", "\n", "\n", "\n", "tau->obs\n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "J = 8\n", "y = np.array([28, 8, -3, 7, -1, 1, 18, 12])\n", "sigma = np.array([15, 10, 16, 11, 9, 11, 10, 18])\n", "\n", "with pm.Model() as schools:\n", " eta = pm.Normal(\"eta\", 0, 1, shape=J)\n", " mu = pm.Normal(\"mu\", 0, sigma=1e6)\n", " tau = pm.HalfCauchy(\"tau\", 25)\n", " theta = mu + tau * eta\n", " obs = pm.Normal(\"obs\", theta, sigma=sigma, observed=y)\n", "\n", "pm.model_to_graphviz(schools)" ] }, { "attachments": {}, "cell_type": "markdown", "id": "f618f053-266b-4006-a521-f892cb8519e1", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "Regardless of the particular model or models we are working with, we can do a whole range of _statistical_ procedures:\n", "\n", "* We could examine the [prior predictive distribution](https://en.wikipedia.org/wiki/Posterior_predictive_distribution#Prior_vs._posterior_predictive_distribution) to see what we'd expect to see in the given DAG based on our stated prior beliefs with `pymc.sample_prior_predictive`. An example use case would be when we want to understand our predictions of how inflation may evolve into the future based on the structure of our model (e.g. the national and international economy) and our prior beliefs over latent variables.\n", "* We could conduct Bayesian inference by sampling from the posterior distribution with `pymc.sample`. This would update our beliefs to assign credibility to different values of latent variables given the data that we have observed. For example, maybe we get another inflation data point added to our dataset and we want to update our beliefs about the latent variables in the model of the economy.\n", "* We could examine the [posterior predictive distribution](https://en.wikipedia.org/wiki/Posterior_predictive_distribution) using `pymc.sample_posterior_predictive`. This is closely related to the prior predictive distribution, but in our running example it would allow us to create a revised set of predictions about future inflation rates after we've observed another data point.\n", "* If we wanted, we could get fancy with {ref}`GLM-model-selection` to compare different models (data generating processes). This could be particularly useful because we arguably don't have complete faith that we know the \"true\" model of the economy, even at a coarse level of abstraction. So we could build multiple models (DAGs) and evaluate the relative credibility that each model generated the observed data.\n", "* If we have a number of candidate data generating processes, we could incorporate our uncertainty in the data generating process through {ref}`model_averaging`.\n", "\n", "If we've mastered all of these steps, we can rightfully feel pretty happy with ourselves. We can accomplish a lot with these statistical and predictive procedures." ] }, { "attachments": {}, "cell_type": "markdown", "id": "ca2ed504-ffda-4f1d-8d18-cdb06608202b", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [ "hide-input" ] }, "source": [ "## Why causality is important\n", "\n", "But now it's time to get smacked in our smug Bayesian face. As others have argued (e.g. {cite:t}`pearl2018why,pearl2000causality`), it is entirely possible to build a pretty good _predictive_ model, but one which can catestrophically fail the moment you (or anyone else) intervenes in the system. Such interventions can totally destroy predictive modelling approaches and wake you up real fast to the necessity of adding causal reasoning into our skillset. \n", "\n", "In our running example, this could correspond to when a central bank switches from making predictions about inflation to now _acting_ and _intervening_ in the system by, for example, changing interest rates. All of a sudden you might be faced with a situation where the economy does not respond to your intervention as you predicted." ] }, { "attachments": {}, "cell_type": "markdown", "id": "83b8106f-c9e1-4277-ba38-f13b03a33ef6", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "Let's consider a seemingly trivial example with 3 nodes to see how we can get fooled. The image below shows two different causal DAGs. On the left we are interested in how $X$ causally affects $Y$, both directly and indirectly through a mediating variable $M$. If we take a purely statistical approach (e.g. {ref}`mediation_analysis`) we might find that the data is very plausibly generated by this DAG. This might give us the confidence to conduct an intervention on $M$ with the aim of influencing our target outcome, $Y$. But when we do this intervention in the real world and change $M$, we actually find absolutely no change in $Y$. What is going on here?" ] }, { "cell_type": "code", "execution_count": 5, "id": "39bebf1f-b31b-4269-8251-42a7cfbd12a7", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [ "hide-input" ] }, "outputs": [ { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "x2\n", "\n", "X\n", "\n", "\n", "\n", "y2\n", "\n", "Y\n", "\n", "\n", "\n", "x2->y2\n", "\n", "\n", "\n", "\n", "\n", "m2\n", "\n", "M\n", "\n", "\n", "\n", "x2->m2\n", "\n", "\n", "\n", "\n", "\n", "m2->y2\n", "\n", "\n", "\n", "\n", "\n", "x\n", "\n", "X\n", "\n", "\n", "\n", "y\n", "\n", "Y\n", "\n", "\n", "\n", "x->y\n", "\n", "\n", "\n", "\n", "\n", "m\n", "\n", "M\n", "\n", "\n", "\n", "x->m\n", "\n", "\n", "\n", "\n", "\n", "m->y\n", "\n", "\n", "\n", "\n", "u\n", "\n", "U\n", "\n", "\n", "\n", "u->y\n", "\n", "\n", "\n", "\n", "\n", "u->m\n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "g = gr.Digraph()\n", "# Wrong data generating process\n", "g.node(name=\"x2\", label=\"X\")\n", "g.node(name=\"y2\", label=\"Y\")\n", "g.node(name=\"m2\", label=\"M\")\n", "g.edge(tail_name=\"x2\", head_name=\"y2\")\n", "g.edge(tail_name=\"x2\", head_name=\"m2\")\n", "g.edge(tail_name=\"m2\", head_name=\"y2\")\n", "# Actual causal DAG\n", "g.node(name=\"x\", label=\"X\")\n", "g.node(name=\"y\", label=\"Y\")\n", "g.node(name=\"m\", label=\"M\")\n", "g.node(name=\"u\", label=\"U\", color=\"lightgrey\", style=\"filled\")\n", "g.edge(tail_name=\"x\", head_name=\"y\")\n", "g.edge(tail_name=\"x\", head_name=\"m\")\n", "g.edge(tail_name=\"m\", head_name=\"y\", style=\"dashed\", dir=\"none\")\n", "g.edge(tail_name=\"u\", head_name=\"m\", color=\"lightgrey\")\n", "g.edge(tail_name=\"u\", head_name=\"y\", color=\"lightgrey\")\n", "# Render\n", "g" ] }, { "attachments": {}, "cell_type": "markdown", "id": "56832ddc-ef61-4dbf-b46f-b6ef2ae8820e", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "Little did we know, but the _actual_ data generating process is captured by the DAG on the right. This shows that $X$ does causally influence both $M$ and $Y$, however $M$ does not in fact causally affect $Y$. Instead, there is an unobserved variable $U$ which causally influences both $M$ and $Y$. This unobserved confounder creates a backdoor path in which _statistical_ association may flow between the path $X \\rightarrow M \\rightarrow U \\rightarrow Y$. All this causes a statistical association between $M$ and $Y$ which our purely statistical approach mislead us into thinking that $M$ did causally influence $Y$ when it did not. No wonder our intervention failed to have any effects.\n", "\n", "Our mistake was to interpret a statistical model causally." ] }, { "attachments": {}, "cell_type": "markdown", "id": "24792fb8-3e40-41b5-a26a-4a2d4da052ed", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "## Statistical versus interventional distributions\n", "So far this has been quite high-level, but let's try to pin this down a little. In our example, if we were to take a purely statistical approach we could ask \"What happened when interest rates were 2%?\" This is a statistical question because we are basically looking back in our dataset and filtering (or conditioning) upon time points where interest rates were at (or very close to) 2%. So let's flag up - **conditional distributions are purely statistical quantities**.\n", "\n", "Though the real question we might want an answer to is \"What would have happened in the past if we had set the interest rates to 2%?\" or \"What will happen going forward if we set the interest rates to 2%?\" Despite the subtle changing of wording, this now radically changes what we have to do in order to answer the question. So a key point here is **interventional distributions require causal (not statistical) approaches**.\n", "\n", "Interventional distributions are cool because they allow us to ask what-if (or counterfactual questions). For example, with a causal DAG we could ask questions of the form, \"What do I think will happen in the future if I do X?\" or \"What do I think would have happened in the past if X had happened?\" See how these types of questions have a very different flavour to purely statistical kinds of questions - they would be more like \"Given what I've seen, what do I think will happen.\" See how this has a more passive, observational focus.\n", "\n", "From hereon, the main point of this notebook will be to provide some understanding and intuition about the differences between conditional and interventional distributions, and how to estimate interventional distributions with PyMC. As we said above, we can use the $\\operatorname{do}$ operator to estimate interventional distributions. So let's dive in and see how that works." ] }, { "attachments": {}, "cell_type": "markdown", "id": "aac4d49b-6a1e-4d77-a9c7-205050bebb9f", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "## Interventions and the $\\operatorname{do}$ operator\n", "\n", "We'll consider an example from {cite:t}`pearl2000causality` where we examine a DAG which is a putative causal explanation of how various factors influence each other to result in grass becoming slippery. The left shows our causal DAG, and the right shows how the DAG is changed if we consider an intervention (hypothetical or actual) where we turn the sprinkler on. The $\\operatorname{do}$ operator implements an intervention that we want to make. It consists of 2 simple steps:\n", "\n", "1. It takes a given node in a graph and sets that node at the desired value.\n", "2. It removes any causal influence on this node by other nodes. It does this by removing all incoming edges into that node.\n", "\n", "![](sprinkler.png)\n", "\n", "On the left of the figure we have a causal DAG describing the causal relationships between season, whether a sprinkler has been on, whether it has rained, if the grass is wet, and if the grass is slippery. \n", "\n", "The joint distribution can be factorised as: \n", "\n", "$$\n", "P(x_1, x_2, x_3, x_4, x_5) = P(x_1) P(x_3|x_1) P(x_2|x_1) P(x_4|x_3, x_2) P(x_5|x_4)\n", "$$\n", "\n", "```{card} Factorizing joint distributions\n", "For a DAG, a complex joint distribution can be broken down into the product of conditional distributions:\n", "\n", "$$\n", "P(x_1, x_2, \\ldots, x_n) = \\prod_i P(x_i|pa_i)\n", "$$\n", "\n", "where $pa_i$ are the parents of node $x_i$, and $i = \\{ 1, \\ldots, n \\}$.\n", "```\n", "\n", "On the right of the figure we have applied the $\\operatorname{do}$ operator to examine what will happen if we set the sprinkler to be on. You can see that we have now set the value of that node, $x_3=1$ and we have removed the incoming edge (influence) of season, meaning that once we turn on the sprinkler manually, it's not influenced by the season anymore.\n", "\n", "In order to describe this new interventional distribution we need truncated factorization:\n", "\n", "```{card} Truncated factorization\n", "{cite:t}`pearl2000causality` describes truncated factorization as follows. If we have a probability distribution $P(v)$ on a set of $V$ variables, then $P_x(v)$ is the interventional distribution that results from $\\operatorname{do}(X=x)$ that sets a subset of $X$ variables to constants $x$. Then we can describe the interventional distribution with truncated factorization as:\n", "\n", "$$\n", "P_x(v) = \\prod_{ \\{ i | V_i \\notin X \\} } P(v_i|pa_i)\n", "$$\n", "\n", "This is actually quite simple. It can be thought of as exactly the same as the regular factorization of the joint distribution, but we are only including terms which do _not_ influence any intervened upon variable.\n", "\n", "Interested readers are referred to section 1.3 of {cite:t}`pearl2000causality` on Causal Bayesian Networks.\n", "```\n", "\n", "Applying that to the spinkler example, we can define the _interventional distribution_ as:\n", "\n", "$$\n", "P(x_1, x_2, \\operatorname{do}(x_3=1), x_4, x_5) = P(x_1) P(x_2|x_1) P(x_4|x_3=1, x_2) P(x_5|x_4)\n", "$$\n", "\n", "There are two important changes here:\n", "1. Note that $x_3$ was previously a random variable, but this has now been 'locked' at a particular value, $x_3=1$, because of our intervention.\n", "2. Note the absense of the $P(x_3|x_1)$ term, because $x_1$ no longer has any causal influence over $x_3$.\n", "\n", "So in summary, this is pretty cool. We can use the $\\operatorname{do}$ operator to make in intervention in our model of the world. We can then observe the consequences of this intervention and make much better predictions of what will happen when we are active and intervene (actually or hypothetically) in the world. The accuracy is of course subject to how well our causal DAG reflects the real processes in the world.\n", "\n", "For those wanting further background information on the $\\operatorname{do}$ operator, explained from a different angle, readers should check out the richly diagrammed and well-explained blog post [Causal Effects via the Do-operator](https://towardsdatascience.com/causal-effects-via-the-do-operator-5415aefc834a) {cite:p}`Talebi2022dooperator`, the popular science book by {cite:t}`pearl2018why`, or the textbook by {cite:t}`molak2023ciadip`." ] }, { "attachments": {}, "cell_type": "markdown", "id": "b70e42b0-61a1-4c62-8dd9-d973d60d7946", "metadata": { "editable": true, "raw_mimetype": "", "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "## Three different causal DAGs\n", "\n", ":::{note}\n", "This section takes heavy inspiration from the post [Causal Inference 2: Illustrating Interventions via a Toy Example](https://www.inference.vc/causal-inference-2-illustrating-interventions-in-a-toy-example/) {cite:p}`Huszár2019causal2`. Imitation is the sincerest form of flattery.\n", ":::\n", "\n", "If we think about how 2 variables, $x$ and $y$, are related we can come up with many different causal DAGs. Below we consider just 3 possibilities, which we'll label DAG 1, 2, and 3.\n", "\n", "1. $x$ causally influences $y$\n", "2. $y$ causally influences $x$\n", "3. $z$ causally influences both $x$ and $y$\n", "\n", "We can draw these more graphically below:" ] }, { "cell_type": "code", "execution_count": 6, "id": "73ed8c06-6dbb-4706-9120-7623d168cdcb", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [ "hide-input" ] }, "outputs": [ { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "x1\n", "\n", "x\n", "\n", "\n", "\n", "y1\n", "\n", "y\n", "\n", "\n", "\n", "x1->y1\n", "\n", "\n", "\n", "\n", "\n", "y2\n", "\n", "y\n", "\n", "\n", "\n", "x2\n", "\n", "x\n", "\n", "\n", "\n", "y2->x2\n", "\n", "\n", "\n", "\n", "\n", "z\n", "\n", "z\n", "\n", "\n", "\n", "x\n", "\n", "x\n", "\n", "\n", "\n", "z->x\n", "\n", "\n", "\n", "\n", "\n", "y\n", "\n", "y\n", "\n", "\n", "\n", "z->y\n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "g = gr.Digraph()\n", "\n", "# DAG 1\n", "g.node(name=\"x1\", label=\"x\")\n", "g.node(name=\"y1\", label=\"y\")\n", "g.edge(tail_name=\"x1\", head_name=\"y1\")\n", "\n", "# DAG 2\n", "g.node(name=\"y2\", label=\"y\")\n", "g.node(name=\"x2\", label=\"x\")\n", "g.edge(tail_name=\"y2\", head_name=\"x2\")\n", "\n", "# DAG 3\n", "g.node(name=\"z\", label=\"z\")\n", "g.node(name=\"x\", label=\"x\")\n", "g.node(name=\"y\", label=\"y\")\n", "g.edge(tail_name=\"z\", head_name=\"x\")\n", "g.edge(tail_name=\"z\", head_name=\"y\")\n", "\n", "g" ] }, { "attachments": {}, "cell_type": "markdown", "id": "3bb5134c-f476-4b8f-9338-1ed07e1fbb13", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "We can also imagine implementing such causal DAGs in Python code to generate `N` random numbers. Each of these will give rise to specific joint distributions, $P(x, y)$, and in fact, because Ferenc Huszár was clever in his blog post, we'll see later that these will all give rise to the same joint distributions.\n", "\n", "**DAG 1**\n", "\n", "```{code-block} python\n", "x = rng.normal(loc=0, scale=1, size=N)\n", "y = x + 1 + np.sqrt(3) * rng.normal(size=N)\n", "```\n", "\n", "**DAG 2**\n", "\n", "```{code-block} python\n", "y = 1 + 2 * rng.normal(size=N)\n", "x = (y - 1) / 4 + np.sqrt(3) * rng.normal(size=N) / 2\n", "```\n", "\n", "**DAG 3**\n", "\n", "```{code-block} python\n", "z = rng.normal(size=N)\n", "y = z + 1 + np.sqrt(3) * rng.normal(size=N)\n", "x = z\n", "```" ] }, { "attachments": {}, "cell_type": "markdown", "id": "e2d1a7ca-1948-4165-92aa-3713df60b73b", "metadata": {}, "source": [ ":::{note}\n", "These code snippets are important because they define identical joint distributions $P(x,y)$ but they have different DAG structures. Therefore they may respond differently when it comes to making an intervention with the $\\operatorname{do}$ operator. It is worth referring back to these code snippets to make sure you understand how they relate to the DAG structures above and to think through how making interventions on variables will affect the values of each of the variables $x, y, z$ if at all.\n", ":::" ] }, { "attachments": {}, "cell_type": "markdown", "id": "453edf32-48d2-4d7f-96fb-6fb61851de9e", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "However, we are going to implement these using Bayesian causal DAGs with PyMC. Let's see how we can do this, then generate samples from them using `pm.sample_prior_predictive`. As we go with each DAG, we'll extract the samples for plotting later, and also plot the graphviz representation of the PyMC models. You'll see that while these are a fraction more visually complex, they do actually match up with the causal DAGs we've specified above." ] }, { "cell_type": "code", "execution_count": 7, "id": "cc4469dd-e40b-4f59-b6c5-3077043e9878", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [], "source": [ "# number of samples to generate\n", "N = 1_000_000" ] }, { "cell_type": "code", "execution_count": 8, "id": "380c7726-1168-4a47-8392-f7e5c3475f3f", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Sampling: [temp, x]\n" ] }, { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "temp\n", "\n", "temp\n", "~\n", "Normal\n", "\n", "\n", "\n", "y\n", "\n", "y\n", "~\n", "Deterministic\n", "\n", "\n", "\n", "temp->y\n", "\n", "\n", "\n", "\n", "\n", "x\n", "\n", "x\n", "~\n", "Normal\n", "\n", "\n", "\n", "x->y\n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "with pm.Model() as model1:\n", " x = pm.Normal(\"x\")\n", " temp = pm.Normal(\"temp\")\n", " y = pm.Deterministic(\"y\", x + 1 + np.sqrt(3) * temp)\n", " idata1 = pm.sample_prior_predictive(samples=N, random_seed=rng)\n", "\n", "ds1 = az.extract(idata1.prior, var_names=[\"x\", \"y\"])\n", "\n", "pm.model_to_graphviz(model1)" ] }, { "cell_type": "code", "execution_count": 9, "id": "09e899ac-77b5-4efa-81b9-0c31a52843d9", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Sampling: [temp, y]\n" ] }, { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "temp\n", "\n", "temp\n", "~\n", "Normal\n", "\n", "\n", "\n", "x\n", "\n", "x\n", "~\n", "Deterministic\n", "\n", "\n", "\n", "temp->x\n", "\n", "\n", "\n", "\n", "\n", "y\n", "\n", "y\n", "~\n", "Normal\n", "\n", "\n", "\n", "y->x\n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "with pm.Model() as model2:\n", " y = pm.Normal(\"y\", mu=1, sigma=2)\n", " temp = pm.Normal(\"temp\")\n", " x = pm.Deterministic(\"x\", (y - 1) / 4 + np.sqrt(3) * temp / 2)\n", " idata2 = pm.sample_prior_predictive(samples=N, random_seed=rng)\n", "\n", "ds2 = az.extract(idata2.prior, var_names=[\"x\", \"y\"])\n", "\n", "pm.model_to_graphviz(model2)" ] }, { "cell_type": "code", "execution_count": 10, "id": "695ac444-5db0-4214-8afe-720ae3b4260e", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Sampling: [temp, z]\n" ] }, { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "z\n", "\n", "z\n", "~\n", "Normal\n", "\n", "\n", "\n", "y\n", "\n", "y\n", "~\n", "Deterministic\n", "\n", "\n", "\n", "z->y\n", "\n", "\n", "\n", "\n", "\n", "x\n", "\n", "x\n", "~\n", "Deterministic\n", "\n", "\n", "\n", "z->x\n", "\n", "\n", "\n", "\n", "\n", "temp\n", "\n", "temp\n", "~\n", "Normal\n", "\n", "\n", "\n", "temp->y\n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "with pm.Model() as model3:\n", " z = pm.Normal(\"z\")\n", " temp = pm.Normal(\"temp\")\n", " y = pm.Deterministic(\"y\", z + 1 + np.sqrt(3) * temp)\n", " x = pm.Deterministic(\"x\", z)\n", " idata3 = pm.sample_prior_predictive(samples=N)\n", "\n", "ds3 = az.extract(idata3.prior, var_names=[\"x\", \"y\"])\n", "\n", "pm.model_to_graphviz(model3)" ] }, { "attachments": {}, "cell_type": "markdown", "id": "07b66542-dd10-43b1-9dfb-5b438f756736", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "### Joint distributions, $P(x,y)$\n", "\n", "First, let's take a look at the joint distributions for each of the DAGs to convince ourselves that these are actually the same." ] }, { "cell_type": "code", "execution_count": 11, "id": "49d3a21d-9ec3-4fd8-88c9-093aeae336ab", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [ "hide-input" ] }, "outputs": [ { "data": { "image/png": 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hiuwWpsCQtt9lxMfn6E4mXROjlTp1gA7uyta+bZnK3n/E5XOIX1SWV+un77bop++2yOJjUb+hPTTs+P4adnx/9Rmc0C5b0QPwLF7d3BUdHS2r1epcfUuSkpKSmnx/cnKys7lLkg4fPkxzFwCgU7PX2rVz/X6tXbRN6xZtV0baoSbdF9E1TD0HJahH/zj5B9raucq24x9o0/ATBqn3kB5av2ibjhw0znytrbHri5cXa9lna3XRnadpwsxUj9yqEQAAAPA0FaWV+v6D1frqtaXHnFVvC7AqITlWiSnxio6P8Pj33D6+Porr01Vxfbo2ep3D4VBlWZXKiytUVlKh8uJylRVXqDCn+OgHO3VsW71bfzvnaU2YOVwX3HGKouMi2ul3AAAAAJjP4XAo71Chdm86oPRNB5S+MUO7Nx1QWXFFq17XP9CmsJgQhUWHKCw6VOExIQqNCjFl20M/q58SB8QrcUC8yksqtH97ljK2H1RhTnGD9zjsDu383yplH/3nO4VEBmnYxGRns1dYlOet6gWg9by6uctqtSoxMVHp6enOsfDw8CbfX/fawsK2Wb4RAICOJOdAnjYu36ktK3dp04pdKskva9J9QWEB6p4cp8QB8QqPCW3nKttXRNcwTf7DGGXsyNKmJTtUUVppOF+QXaz/3vGeFry7SufceIKGTEjy+A+cAAAAADMU5BTr27dX6Ns5K1VaWN7gdT6+Porv21U9UuIV2yvGK2eiWywWBQT7KyDYX5Eyfh8y50CeNi3ZrvzDRS73Lf9snTYs2aG/vn6Veg9KcFe5AAAAQLsrLSrX5uU7tX7JDm1cmqa8et4PN5WPr0WhUSEKjwlVeJfQoz/HhJq6nXtjAkMC1H9Ub/Uf1VulhWU6mJ6trPRs5WTmNbiilySV5Jdp+efrtfzz9bLa/DT+jFSdetkE9RwQ777iAbQ7r27ukqR+/foZmruqqqqafG/da/39PfMfegAA2lJleZW2rd6tDUvStHFZmg7uzmnyvf5BNnVPjlWP/nGKivP8GfXNYbFYlJgSr/g+XbV9dbrSft7rsoXKjp/36v8uf0V9hnTXGVdP1oipA0yZ7QMAAAB4EofDoW2rd+u7d1bpp283N7plSkhksJJG9FKP/nGy+nv9ty4b1KV7lKZeME4ZO7K0ZVmay+oEJQVlevjSl/TXN65Sn8Fs0wgAAICOyeFwaN+2LK1fskMbFu9Q2rp9ste2YItFixQeE6qo2AhFxYUrslu4QiODO+wkkeDwICWN6KWkEb1UWV6lrN3ZOpierex9uY3mqeqqGi3+eI0Wf7xGA8b00amzJmrktAEd9usA4Fde/x2SMWPG6JtvvnEeHz58uMn3Hjpk3GoqMjKyzeoCAMCT5B7M149fb9LGpWnatnqPqqtqmnyvLcCq+L5d1b1/nLr0iJKPj3eHBD+bnwZP7K+eg7prww/bdHhvrss1uzcd0FM3z5F/oFVDJiZr5LQBGj51gMKjQ0yoGAAAADBHSWGZls5dqwXvrjrmpJGouAj1H91bcX26etUkkdb4ZYJJQr9u2rVun7av3q2a32S10qJyPTLrZd371jXMygcAAECHYrfbtXTuWn309ALlZuY3+/6AIH9FxoYrOu7XZi4/m3e2PvgH2tRrUHf1GtRdtTW1ys3M16G9OTq8N1fFeaUN3rdt9W5tW71bXbtH6aRLxmnquaMVFBroxsoBtCWLw+FoZBG/ju/QoUOaMmWKfvltTp48WS+++OIx73M4HJo2bZoOHjwoSfL19dXq1asVEtL0D2Xz85v/PyIAANwpa0+O5j2/SEvnrWvWbJiwmBDF9e6quD5dFBUbIYtP5/zwxeFwKGt3jjYu3tboljLS0Q9mkkf01IhpAzRq+iDF9+nSLjXl5uYqOTnZMJaWlqaYmJh2eR5ghs4w6YIsAQDoqGprarVz/X798NEarfxyg6oqqhu9Pq5PVyWP6q2YBO///3trVZZV6cevNign44hhPDQyWPfOuUY9kmJb9fpkCXQGnSFLSOQJAIBn2735gF5/YJ52rt/fpOv9bH6K7BauqNgwRXYLV2RshAJD/JkUIqm0sEyH9+Xq0N5cHd6bI3ttw60fIZFBuuyemZowM7VdvnbkCXg7s7OEd7av/kZsbKxGjBihn3/+WZK0fPlyHTp0SLGxjX+zY9myZc7GLkkaOnRosxq7AADwZBlph/Tpc4u08qsNLlsL1scWaFXXHtHqmhitrj1jFBzG7A7paMNWfN+u6tYzRvu2Ziptze4Gm7wcDod2/LxXO37eq3f/OV89U+I07vRhGjdjmLr2iHJz5QAAAEDbyc8u0oYlO7RhaZo2Ldup0qLGJz74+PooMSVOSSN7K4zVbZvMP8im8WeO0Ip5aw0NXsX5pXr40pf093euU1zv9plEAgAAALRWUV6pPnjia33/wU9qbP0ZH1+LYrpHKbZXF3XrGaPQqGAauRoQHB6kPkMT1WdooipKK7VnU4bSN+xXZVmVy7Ul+WX67x3vacUX63Xlg2crOi7C/QUDaDGvX7lLklauXKlZs2Y5j6dOnapnn322wW2jSktL9bvf/U579uxxjj3xxBM67bTTmvVcZscAADzN7s0H9Omz3+un77Y0ep3FYlFUXIS69YpRbM8YRXQLIzw1gd1uV2baIe3emKHcg/lSE99l9RvWQ+NOG6bjZgxTVLewVtVw5MgRHXfccYaxVatWKTo6ulWvC3gSs2fIuANZAgDgyey1dqWt26f1i3do/eId2rft4LFvkhQSGaw+Q3uo58AE2QKs7Vyl96qprtXyT9co94Dx/UJUtzDd98516pbYsvf+ZAl0Bp0hS0jkCQCAZ6mpqtH3H6zWB09+2+Dk6KCwQMX27qLYXjHq0iNKflavX6Om3dTW2HUgLUu71u1TQXZRvdcEBvvrwr/M0Annj22zz37IE/B2ZmeJTtHcJUnXXnutfvjhB+fxjBkz9Pe//10RERGG6/bv36877rhDGzZscI4NGTJEH3zwQYPNYA0hQAEAPEVBTrFeu/9Trf52c4PX+Pr5qEf/OMX27qIuPaL5sKWVKsurdGhPjg6mZ+vwvlzVVtce8x6LxaKhk5J0+X1nqVtPAg/QELNDlDuQJQAAnqa2plZbf9yt1d9s1k/fbVZhbkmT7rP4WBTft5v6DOuhLt2jmDTSRmqqarTskzU6klVgGI9JiNTf37lWMfHe/34JaInOkCUk8gQAwHNs/XG3XrjrQ2UfyKv3fHBEkIZNGaDYXjFkhTbmcDh05GCB0tbsVtbunHqvGXXiIF37f79XSHiQm6sDOh6zs0Snae4qKCjQ+eefb1iNKzg4WJMmTVKvXr1UXV2ttLQ0rVq1StXV1c5roqKi9PHHHys+Pr7ZzyRAAQA8wU/fbdFL93ys4vzSes/72XzVd1hPJY3oJf8gm5ur6xxqa2qVk5Gng7uzlbUrWxVllY1eHxYdorteuUK9ByW4qUKgYzE7RLkDWQIA4AmqK2u0eeUu/fj1Jv28cKtKCsqafG9YTIh6JMep1+DuCgj2b8cqO6/qymot/XiN8g8XGsa7JUbr/veuV0SXUJMqAzxXZ8gSEnkCAGA+e61dc5/9Xh8/s0AOu2s7gq+fr1LG9lHSiN7y9WveAitovsydh7T++231fjYREx+hG5+4QP1H9nJ/YUAHYnaW6DTNXZJ04MAB3XzzzdqypfGtqH7Rp08fvfDCC0pMTGzR8whQAAAzlZdU6s2HP9MPH62p97zV36p+w3uq3/CerNLlRg67Q7mZecrYcUiZOw+pqqK63usCg/11xwuXaeDYvm6uEPB8ZocodyBLAADMVFVRrc9e/EHzX1+msuKKJt3jZ/NT18RoxfaKUbdeXRQUGtDOVUI6+me15KPVKswpNowPOz5Zf3n5ClY/AOroDFlCIk8AAMxVkFOsZ25/V1tWptd7vntyrIYc319BoYFurqxzq6qo1sYl27VvS2a956f8fpTOu/0URcQwSQSoj9lZolM1d0lSdXW1Xn31Vb3//vvKzKz/H66uXbvqsssu08UXX6yAgJZ/I4oABQAwy46f9+rZO96vd6ljW6BVySN7q8/QRFn92bfeTPZau7IzjujAjixl7spWTVWN4byf1Vc3P3mhRp802KQKAc9kdohyB7IEAMAs637YrtcfnKfsjPq3TfmtsOgQxfXpom69uig6LkI+vsy4N0NleZWWfLhaRUeMW2Ve9Y9zdML5Y02qCvBMnSFLSOQJAIB5Ni3fqWduf8/lvakkRcWFa/CEZHXpEW1CZfjFoT05+umbjaoqd514Hhjir9/ffKJOuni8/Ky+JlQHeC6zs0Sna+76hcPh0KZNm7Rnzx7l5OTIYrEoKipKAwYMUEpKSps8gwAFAHC3mqoaffzMAs174Yd6lzqO79dNI6YPkn8g2y96murKGq38fK1y6nyIZvGx6Kp/nKNpfxhjUmWA5zE7RLkDWQIA4G45mfl68+HPtea7xle8j+gapu5JsYpP6qbQyGA3VYdjqSit1MI5K1RR+us2K/5BNj362a3q1pMPz4BfdIYsIZEnAADuV1tTq4/+s0Dznl+kuu0HFotFA8f3U//RfVhZ1kOUl1Ro9VcblJtZ/3uGhL5ddenfztDQiclurgzwXGZniU7b3OUOBCgAgDvlHszXv298W7s3HXA552f11bCpA9RzYALhyYPV1tRq9fyNOrjrsMu5824/RWdeO4U/P0Dmhyh3IEsAANylpqpGX762VJ88s7DBLcOj4yIUn9RNCf26KTg8yM0VoqkO7cnR8k9/Noz1H9VL9719LauqAf/TGbKERJ4AALjXoX25euGuj7R9zR6Xc4Eh/hozI1UxCZ3j/8EdicPu0M61e7Vt1S7VVNfWe82oEwfp0nvOUBf+/ADTswTNXe2IAAUAcJetP6bryZvmqDi/1OVcdHyERp8ylA9hOgiH3aF132/Rnnqa9E6dNVEX332afHwa/mCmvLxcc+bMMYxddNFFCgwMbPNaAbOYHaLcgSwBAHCHrT/u1iv3faKDu3PqPR8dH6Hh0wYpvEuomytDS61dsNklS1z0lxk6/arJx7yXLIHOoDNkCYk8AQBwj5rqWn3xyhJ98swCVVfWuJyP7d1Fo04ewk4iHq68pEKbl6Vp/7aD9Z4PiQzSfXOuVY+k2MZfhzwBL2d2lqC5qx0RoAAA7c3hcOjrN5br7dlfyl5rN5yz+Fg0aFySkkf1lsWH1Z46EofDoa0rd2n7j+ku5044f6yufPDsBlfwys3NVXKycanktLQ0xcTEtEutgBnMDlHuQJYAALS3b+es1OsPzqt3O3f/QJsGT0pm5d8OqLqqRgveWq6yonLnmJ/VV4/Mu/mYH8aQJdAZdIYsIZEnAADtb+e6fXrp3k+UseOQyzmLj0WDJyYraUQv8kQHcuRgvtYv2qaC7CKXcxFdQ3X/u9erW2LDW76TJ+DtzM4SrMcNAEAHVVVRref+8oHefPhzl8aukIggTT3/OPUf04fGrg7IYrFo0PgkDZuS4nJu4Xs/6p3H5ov+fAAAALSE3W7XO499pdfu/7Texq4+Q3vopFmT1GtQdz6I6YCsNj+NPnmIYaymulbP/fmDBrdaAQAAAJqqrLhCrz3wqf5+3nP1NnYFhQVoyh/GKnlkb/JEBxMdH6lpF47TiBMHu6y2VpBdrIcve0l5hwpNqg4AzV0AAHRAh/bl6v7zn9PSuWtdzsX27qJpF45TZLdwEypDW+o3vJdGnzrUpUHvi5cXa+5/F5pUFQAAADqqqopqPfOnd/X5S4tdzkV2C9e0C8Zp+AmDZAuwmlAd2kpM9ygljexlGNuzJZMMAQAAgBZzOBxa/c1m/fnUx/Xt2yvrnXzcb3hPTb9koqLiItxfINqExWJR78HdddKsSYqu8+eYcyBfj8x6WUVHSswpDujk/MwuAAAANM+yeev0yt8/UUVplcu5lLF9NXBcP2bEeJHElHj5+vpo1Zfrpd/k5Q+f+k4WHx+d/cdpptUGAACAjuNIVoEe/+Ob2rM50+XcgLF9NeC4fqz660UGjU/SoT25Ks779YOXuc9+r16DEjT6xEEmVgYAAICOJm3tXr3z2Hzt+HlvvefDu4RqxPTBioplwrm3sAVYNf6skVry0WoV5hQ7xzPTszX7ylf1t7euVlBooIkVAp0PK3cBANBBlBVX6L93vKf/3vGeS2OXn9VXx50xXIPGJ9HY5YUSkmI16sQhLuMf/Psbffrc9yZUBAAAgI4kbd0+3XPO0y6NXRYfi0aeNFgDxyfR2OVlfP18NfqUIYY/V4fDof/e/q52rd9vYmUAAADoKDLTs/X4H9/U3897rt7GLl8/Hw2e1F/TLhhHY5cXsgVYNfGcUQqJDDaM79mSqX9e84Yqy10XIADQfmjuAgCgA0hbt093z3xKy+atczkXEhmsqReMU0K/biZUBnfpOShBqdMGuoy//wQNXgAAAGjY4o/X6B8XvaDCXOPWGX42X004a6R6DepuUmVob5HdwjVofJJhrLK8Wg9d+qJ++m6LSVUBAADA0+UdLtJLf/tYf57xhNY08L6xa89oTb9kovqP6i0fX1oOvFVAkL8m/W6UgkIDDOPb1+zRv298SzVVNSZVBnQ+/EsLAIAHs9fa9ckzC/TABc8r+0Cey/legxJ0wkXjFBYdYkJ1cLe+wxI1bOoAl3EavAAAAFCfL19doufv+lA11bWG8eCIIE09f5y69YwxqTK4S/Ko3uo5MMEwVllerX/f8Ja+eGWJHA5HA3cCAACgs/nl84jbpj+m799fLYfd9b1iUFigxswYpolnj1JIRJAJVcLdgkIDNfF3o+UfZDOMb1iSpuf+8iGZAnATP7MLAAAA9cvJzNd/73hPO9bsdTln9ffT8BMGqUf/OPcXBlP1S+0pSdqwaJth/P0nvlFgSIBGnppsRlkAAADwMIs/XqO3/+9Ll/GuidEae1qqbAFWE6qCu1ksFo2YPkjlJRXK3n/EOe5wODRn9pc6tCdHs/5+lvysviZWCQAAALMV5ZXquTvf1/rFO+o9bwuwKmVsX/UZmihfP9aP6WxCI4M16ZzRWvzhj6qu/HW1rhVfrNeo6QM17rRhJlYHdA40dwEA4IFWfrlBL9/7icqKK1zORcdHavSpQxUcFmhCZfAEDTV4vfnw5wqOOceMkgAAAOBB1izYohfv+dhlvN+Inhoyqb98fPgwpjPx8fXRhLNGau2CLdq3NdNwbuH7q3U4I0+3Pn2xSdUBAADAbGu/36YX7/nIZSt3SfL181HSiF5KHtVbVn8miHRm4V1CNeHsUVr68U+q/c3q0K8/OE+DxvUzsTKgc+A7OQAAeJCSgjI9fdu7+s+t77g0dlksFg0c10/Hnzuaxi6oX2pPly0a7bV2vXjPRyZVBAAAAE+w9cfd+s8t78heazeMD56YrGGTB9DY1Un5+Ppo5EmDNXiC60q/m1fs0t//8KxyM/NNqAwAAABmKS+p1Iv3fKR/Xvu6a2OXReo1uLtOvvx4DZqQTGMXJEnRcREaddIQw1hRXqlef3CeSRUBnQcrdwEA4CE2Lk3T83d/qPzDRS7ngsICNebUoYqOjzShMniqfqk9VVVWpW0/pjvHSgvLTawIAAAAZtqzJVP/uvZ1VVfVGMaTR/VW/9F9TKoKnsJisaj/mD4KjgjST19vNDQAZqZna/YVr5hYHQAAANxp+5o9eu7OD5Sdkedyzj/IpuNOS1VM9ygTKoOnS0jqpri+XZWVnu0cW/nlBqVMSDSxKsD70dwFAIDJKsur9M5jX+nbt1fWez4xJV6p0wbK6s//tuFqwLh+Kswt1sHfBCkAAAB0Pll7cjT7ildUXlppGO81uLsGT3RdrQmdV/fkWAWFBmjFZ2tVWVblHC8uKDOxKgAAALiDw+HQR//5TnP/+70cDofL+djeXTTyxMEKCPY3oTp0BBaLRcOnDVTugXxVV1Y7x9959EsTqwK8H+uwAwBgol3r9+vuM5+qt7HL6u+nMTOGafSpQ2nsQoMsFotGnTJUYdEhZpcCAAAAkxzJKtAjs15WUV6pYTy+XzcNP2GgLBaLSZXBU0XFRWjqBeOOmSPKSyobPQ8AAICOw15r10v3fKxPnlno0tjlZ/XViOmDNP7METR24ZgCQwKUOnWAYaw4v7SBqwG0BZq7AAAwgcPh0KfPfa+/n/+csvbkupzv2jNaJ146UT36x5lQHToaq81P42aOkC3AanYpAAAAcLPi/FL93xWvKPdggWG8S48ojTl1qHx8+PYf6hccFqgp541Vt54xDV5z77nPaNGHqw1bOAIAAKDjqa6s0VO3zNGiD39yORcdH6kTLp6g3kN6MDEETdYjJU5xfbqYXQbQafDdHQAA3Mxut+u1B+bp/Se+cfkGua+fj1KnDdTEs0cpMCTApArREYVEBGnsaan1hu+MnYdNqAgAAADtraaqRk/88S1l7jJu0R3ZLUzjZo6Qr5+vSZWho7D6WzXhrJFKnTZQVn/XySLFeaV68a8f655zntbOdftMqBAAAACtVVFWpX9d97pWf7PZMG6xWDR4YrImnztGIRFBJlWHjspisWj4CYPYeQZwE4ujvs100Sby8/PNLgEA4GFqqmv1/F8+0PLP17uci4wN1+hThio0Mtj9hcFr7Fy7VxsXbzeMdekeqYc+vklhUfzdgneIjIw0u4R2R5YAADTFaw986rLFe0hksKb8Yaz8g2wmVYWOqqqiWtt+3KX09fvlsLt+y9jX6qvbn71Uw6ekmFAd0DY6Q5aQyBMAgF+VFJbpsatf0851+w3jPr4+GntaquL7djWpMniLfVszteabTYaxCWek6sYnLjCpIqB9mJ0lWLkLAAA3qSyv0hN/fLPexq6B4/ppynljaexCq/Ub3lM9ByUYxnIO5OvVv881qSIAAAC0h+/eWeXS2BUYEqBJ54yisQstYguwatjkATrx0omK7e26vUptda3+fcNb2rUhw4TqAAAA0FwFOcX6x8UvujR2+Vl9NeHskTR2oU0kDoh3yQ/LP1+vn77bYlJFgHeiuQsAADcozi/V/13xitb9YFxRyeJj0dgZwzTguH7y8eF/y2g9i8Wi4dMGKSou3DD+49eb9NO3mxu4CwAAAB3J9x+sdmne9/H10biZwxUUFmhSVfAWoZHBmnDWSE08Z5RCo0IM56qravTKfZ/IXms3qToAAAA0Rc6BPD1wwXPavz3LMG4LsGrS78eoa49okyqDt7FYLBox3XV7xlfu+0TF+aUmVQV4Hz5FBgCgnR3al6v7/vCsdqzZaxj39fPV+DNHqHv/OHMKg9fy9fPRcacPly3Aahh/5e9zVVJQZlJVAAAAaAuLPvxJL93zscv4iOmDFNktvJ47gJbp1jNG0y8er8SUeMP43q0HtWTuzyZVBQAAgGPJ2pur+y94Xof2HTGMBwT7a/K5YxQVS25A2woMCdCwyQMMY4W5JXrtgXkmVQR4H5q7AABoR2nr9um+c5/Vob25hnGrv58m/W6UYnu5bnUBtIXAkAANnZxiGCvMLdEbD31mUkUAAABorR8+qr+xK2VsX/UcmFDPHUDr+Pj6aOTJgxUWbVzB6/1/f6OK0kqTqgIAAEBDMtOz9eBFzyvvUKFhPDg8UFPOG6uwmFCTKoO3Sxzouj3jyi836Mf5G02qCPAuNHcBANBO9m3P0uzLX3FZdjYwxF+Tzx2r6PhIkypDZ1HfXvfL5q3TmoVbTaoIAAAALbX4k5/14l8/lsPhMIz3H9NHA8f1M6kqdAY+Pj4acnx/w1hBdrE+f2mxSRUBAACgPhk7D+kfF7+gguxiw3hYdIgm/2GsgsODTKoMncGv2zPW3VHkUxUeKTGpKsB70NwFAEA7yDtcpMeufk3ldWYyh3cJ1dQLxim8C7Nj0D6qa6q1ZvMKrdm8Qj9vWSlL9xL52CyGa1659xO2ZwQAAOhAln66Vi/c9aFrY9foPho0PkkWi6WBO4Gm+22W+OVHdU21JCm2Vxd16xVjuP6LV5boSFaBCZUCAACgrn3bs/TQxS+qMNfYRBPRNUzHnztGgSEBJlWGzqK6plpb9q6VrU+FDlXu1qHK3bI7alWcX6pX75vrkmcBNI+f2QUAAOBtKsqq9K9rX3dZ9rhbzxiNPT1VVhv/+0X7qags04vvPW4Yu+Xsh7V9yV7ncUFOsd546DPd8K/z3VwdAAAAmuv7D1br5b994vKN8ORRvTVoAo1daDv1ZYnH735VVr9wSdLQ41O0YN9y59/Fqopqvfuvr3Xj4+QKAAAAM+3ZkqlHLn9ZJfnGCb2RseGaePYo2QKsDdwJtJ368sTUyItlswRq9bebteLz9Zowc7hJ1QEdHyt3AQDQhuy1dv339ne1Z0umYTw6PkLjZg6nsQum6NE/lu0ZAQAAOqBv316hl+5x3YoxeWRvDZ6YTGMX3CosOkS9h/YwjC3/bJ12bcgwqSIAAABsXrlL/7joBZfGrqi4CE06h8YueI5X/j5Xh/cdMbsMoMOiuQsAgDY059EvtWaBsWEmODxI42aOkK+fr0lVobP7da97Y3Mh2zMCAAB4ri9eXqzXHpjnMp40spcGT6KxC+YYOK6fS65465HP2WIFAADABKu/2axHr3xV5aWVhvGYhEhNPGeUrP40dsFzlJdU6qlb5qi6ssbsUoAOieYuAADayLdvr9BXry0zjFn9rZpw9kj5B9pMqgo4KjAkQEMnpxjGCnKK9ebDn5tUEQAAAOrjcDj0yTMLNOfRr1zOpYzpoyGT+tPYBdP4B9qUMravYSxt7T6t+mqjSRUBAAB0Tqvmb9RTt8xRTXWtYbxLjyhNOHsku4jAIyQkxxqO92zJ1NuPfmlSNUDHRnMXAABtYN0P2/X6Pz4zjFl8LBo3c7hCI4NNqgow6jkwQd16xRjGln66Vut+2G5SRQAAAPgth8Oh95/4Rh8+9Z3LuUHjkzRoAit2wXx9h/VUcHiQYeydf85XVWW1SRUBAAB0Liu/2qCnb3tX9lq7YTwhqZsmnDVKflYau+AZhkzsr9Ao42dk3761Qj/OZ3II0Fw0dwEA0Er7th3Uf26dI4fduA3FyBMHq0v3KJOqAlwd3Z5xsMs2KnMe/dLlGwEAAABwL4fDobce+ULznl/kcm7I8f1dVksCzOLr56Mhx/c3jOVm5uvbt1eaVBEAAEDnsfKrDXrmT++5fD+395DuGjsjVb5+fPwPz+Fn89XY01Ll42v8e/nyfXNVkFNsUlVAx8S/7gAAtEJOZr4eu/o1VZRWGcYHHNdXPQcmmFQV0LCg0AANPd64PWPmrmwt/XStSRUBAACgtqZWr9w3V/NfX+ZyLnXaQCWP7G1CVUDD4vt2VUz3SMPYd3NWym5n0ggAAEB7Wfll/Y1dfYYlavgJg2TxYZVfeJ7wmFClThtoGCspKNMr930ih8PRwF0A6qK5CwCAFio6UqL/u/xl5R0uMownpsRrwHH9TKoKOLaegxIU3iXUMPbRf75jGxUAAAATFB4p0f9d8YoWvvejy7mRJw5W32GJJlQFNM5isWjwhGTDWHZGnjYv32VSRQAAAN5t5Zcb9Mzt9Td2pU4dwPbt8Gi9BiWoe3KsYWzNgq1a9tk6kyoCOh6auwAAaIHykkrNvupVZe3JNYzHJERqxImDCVLwaBaLRYMnGj+IyT1YoAXvrDKpIgAAgM7H4XBo6adrdcepj2vLynTDOYvFojGnDlWvwd1Nqg44tqi4CIXHGCeNLHiXTAEAANDWVnyxXk//6V2Xxq6+qTR2oWOwWCxKnTZQ/kE2w/gb//jMZQEFAPWjuQsAgGaqqqzW4398Q3s2ZxrGw6JDNG7mCPa0R4fQrWeMyzYqnz63SGXFFSZVBAAA0HlkZ+Rp9hWv6Nk/v6+S/DLDOR9fi8aeNkw9UuJNqg5oGovFot5DexjG1i7apqK8UpMqAgAA8D4rvzq6YpfDbty+rm9qooZNobELHYd/oE3D62zPWFpYrlfuZXtGoCn8zC4AAICOpKaqRk/f+o7LzPqgsABNPGeUbAFWkyoDmufo6l399cN7v86sL84v1VevLdXvbz7RxMoAAAC8V21Nrea/vkwfPvWdqipct8QODPHXcacPV1RchPuLM1FtrV2FR0qVl1OigrxS1dba5evrIx8fH/n4Wo7+2tdHvr4WWW1+Cg71V0hYoIJC/OXjw4dZZkpMidPGxdudq0jU1ti14ov1OuXSCSZXBgAA0PFt/TFdz97xPo1d8BoJSbHq0T9OGTuynGNrF23TkrlrNfmckSZWBng+mrsAAGiimupaPXXrO1qzYKth3D/QponnjFZgSIBJlXmmivJqlZdVySJJlqPNREd/bZHFIvn4WBQQaGOlMxNFx0Uovm9XHUzPdo59/eZynX7l8QoI9jexMgAAAO+zf0eWnr/rQ5cVgH+RkNRNqVMHdor3YaXFFcrLKXH+KMwrld3e/JnaFotFwaH+Cg4LUGhYgILDAhQWHqjQiED5B1j5sMsNrP5WJfTrZvhwZsncn2nuAgAAaKWMnYf0+PVvqqa61jDeN7Wnhk1J4b0uOqxhUwcoO+OIKsuqnGNvPvSZhozvp6jYcBMrAzwbzV0AADRBTXWtnr71Ha35both3M/mqwlnj1RoZLBJlZmvsqJaRfllKiooV1FBuYoLjv66qrKmSffb/P0UGGRTQLBNgUFHfwQE2eQf4KeAAKtsAVb5B/jJz+pLYG0Hg8YnGZq7SgvL9cPHa/gwBgAAoI3Ya+364uUl+vCpb10+mJGOrtaVOm2g4vt2M6E696mtsStjT67Stx1SYV7ZsW9oAofDoZKiCpUUVehwnXNWm6/CIoIUGhGo0PCjPwKDbbL5+8lm82OSSRtKHBhvaO7aszlTGTsPqUdSrIlVAQAAdFx5h4v06JWvqqy4wjDeZ2gPGrs8hN1uV1lJpUqKKlReWqXKihpVVVbX+blG9lq7/Ky+R3/4+fz6a6uvgkP81aNPjIJCvH+Cz2/5B9o0YvogrfxsnXOsrLhCL/3tY9350uX8/QYaQHMXAADHUFFaqaf/9K7Wfr/NMO5r9dWEM0cqslvnm0lQXFiuA3uO6MCeIyouLG/Va1VVHg05hfmNf8Dj42ORf4BVAUFWRUSHKKrL0R8hYQG82W+FsJhQxfbuokN7cpxjX722VCdeeJx8/XxNrAwAAKDjy9qTo+fu/EA71++v93yfYYkaPCFZVn/v/RZdeVmVdm8/rL1ph1VZ0bQJIG2huqpWR7KLdSS7uN7zvn4+stn8jjZ7/fLjfxNL/P/3s83/6M+Bwf6yefGfUWt1S4xRQLC/KkornWNL567VhXfOMLEqAACAjqm8pFKPXf2ajmQVGsbj+3ZV6tSBfC/czZyT2wvLVVpUoeKiCpUWVai0uFIORxNXHy6vbvDUlnUZiuseqb4DYtUlLqzT/PnG9+2mHilxytj+6ySR9Yt3aPHHazTl96NNrAzwXHxXAgCARhzJKtA/r3ld+37zBlOSfP18NeGskYrpHmVSZe5XWlyhA3uPNnS11Uz75rDbHSovq1J5WZXyc0u1Z8fRufk2fz9Fxhxt9IruGqqY2DD5+HSOANRWkkf1NjR35RzI1+pvN2vcjGEmVgUAANBx2e12ffvWSr37r/mqqnD9Rn5oVLBGTB+smIRIE6pzj7ycYu3aekiZe/Oa/KFHaHSwomLDFRBik73GodraWtlrHaqtscteW6vaGrsqy6pUUlCm6lY2itXW2FVeczRfNEV4ZJC6JoSrW3yEoruGsvLXb1h8LEpMiVfaz3ucY8s+W6fzbz9FPr58nQAAAJqqprpWT970lvZtO2gYj4oL1+hTh8nC973blN1uV021XbW1dtXW1KqqsuboDiX5ZSrKL1dhfpkq68lzbcohZWXkKysjX6HhAeqTEqvEfl1ktXr/xOvUqQOUsz9PFWW/ThJ58+HPNWRCkqLjIswrDPBQFkeTW0rRXPn5+WaXAABohV0bMvT49W+oIMc409vX7+hWjF06QWNXdVWN9qfnKmN3rvJySpp9v8VikcVHcjiObpkiN7zrCAq2KWlwvHomdZFfJ1x5ym63q7Tc+Hc2ODBUPj4Nf6jicDi06N1Vyj/862ywPkO666GPb+w0M4XQsURGeu8H4b8gSwBAx5VzIE/P3/Whtv64u97zySN7a+D4fl67SmpeTrE2/bS/wRWzfmELsCoyLkxRseGKjAtXZLewZq1gVlVerZKCMpUUlKm0oEwl+eUqyS9VSX6Zamvsrf1tNMrX10cxsaHqGh+hbvHhCo0I9Ir3zS3JEr8ozC3WgreWG8bufvVKDZ2U3KY1Aq3VGbKERJ4AgI7I4XDohbs+1OJPfjaMB0cEaep5x8k/yGZSZR2Hw+5QYUGZCnJLVVlRraqqo7uGVP9v95CqqlpVV9aopqZWNTV2Oeye2SZh8/dT0qA4JQ2K61CTJVqSJw6mZ2vlZ2sNYyOmDtCfX5zVHiUCrWJ2lqC5qx0RoACg41rxxXo9f9eHqq40zga3BVh13BnDvb6xKz+3RHt2ZCtjT26TPhjx8fVRSGSQwqKDFRod8r+fgxUcFugym+iXJq+a6lpVlFaqvKRS5cUVqij5369LKlVZWqnK8mpVllXJXtuyD2Zs/n7qNzBWfVJi2UKlCQ6kHdKPX643jN379jUaOLavOQUBjTA7RLkDWQIAOqaVX23Qi3/9SBWlrqtBBUcEadRJQ7x2ta7ysipt+Xm/9qfnNnpdlx6R6jO8h2J7xbTLygMOh0NlRRUqzis9+uPI0Z/bYrWvhkR1CdGQ0T0V3TW0XV6/o1g4Z4UKsoucxxNmDteNj59vYkWAq86QJSTyBAB0RO89/rXmPb/IMGYLtGrq+ccpJCLYpKo8W3VVjfJySnQku1h52SXKyylWTTtP9KjLGuCn4PBA+QfZZAuwyT/IKluAVbZAm/wDrfLx9VFNda1qqmr+9/PRX1eWVengrmzVVNU2+Npd48M1blp/r181+KevN2p/ndXqHvzgj0oa3tOkioD6mZ0laO5qRwQoAOh4HA6HPn56gT5+eoHLuZDIYE04a4TXBqma6lod2HNEu3ccVsGR0mNe7x9kU0JyVyUkd1NkbFiTZnM3l8PhUG11rbPRq7K8SiV5ZcrLKlReVqEqm7CFiq+fj3r376Z+A2MVFOzf5jV6C7vdrm9eW6qyonLn2PApKbrzpctNrAqon9khyh3IEgDQsTgcDn38zAJ9/B/XHCFJfVMTNXhisvys3jfpoLbGrl1bs7R9Y2aDE0N8/XzUIyVWfYb3UFh0iJsr/JXD7lBVZbWqK2pUVV6tqsrqoz9X/O/n8ipVGn6urndbzYYk9IrS4JGJCg4NaMffhefauXavNi7e7jy2BVj13Iq/KaiTfj3gmTpDlpDIEwDQ0Xz12lK99cgXhjFfPx8d//sximJ7OieH3aG83BJl7c/X4cwCFeaXueW5Pr4+Co0KUkjk0R/BEUEK+d8PW6C1xa9bXVWjjG2HtGdDhorz6v+9dOseoeOmJsu3A63g1VxVFdX69o2lhs97Rp04SLc/e6mJVQGuzM4SNHe1IwIUAHQsVRXVev6uD7Tyy40u57omRmvsaamyBbT8jbqnqqyoVtqmg9qblq3q6oZniUhHZ6Ek9OuqhP7dFJMQ2S4z7ZvK4XCovLhS+YeONnrlHshXYSNbR1p8LOrTv5sGpHZnJa8G7Fq/TxsWbTOM/fOrP6l7UjeTKgLqZ3aIcgeyBAB0HEdzxIda+eUGl3NBoQEaedIQdU2MNqGy9uVwOJSVka9NP+1TaXFlvdcEhvqr99Du6jU4oVUfepjJXmtX/qEiZe8/oux9eco/XNTodvM+Phb1GxSn/kPiZbV1rtxRWValL19aZNje5ppHfq+p5442sSrAqDNkCYk8AQAdyYJ3V+mV++YaBy3SuDNGKL5vV3OK8iA11bXKPliorIx8HTqQr8p2Wo1XOvoZQlBYgMJiQhQWHaKwmGCFRYcoOCKwXSa3/8LhcCg3I1/p6zN0aLfrSshxPSI1dmpSu9ZgtrSf92jTkh2GsX/N/5MS+vHZBDyH2VmC5q52RIACgI6jtKhc/7zmde34ea/LuT7DEjVsckqH2tu8KaqrarRzS5Z2bclqdKlii8WiuL4xShwUr66JUR77dXA4HDqSWaC0n/Ype9+RBq+z+ftpQGp39e7f1avDUEvUVNdo/suLDasTTP3DaF3z8O9NrApwZXaIcgeyBAB0DAU5xXr8+je0a0OGy7meAxM0bMoAWb1wYkFpcYXWrdyj7IOF9Z73s/mq/9je6pvaw2PzQ0tVVVQrZ3+esvfn6fCeI6oorb+xzT/AqoEjuqtXv66mTopxtxXz1iprd7bzeMCYPrpvzrUmVgQYdYYsIZEnAKCjWPzJz3r+Lx+4jI+YPki9h/QwoSLzlZdVqeBIqfJzS5SfW6KcrCLZ7c1rZwgKD1RoZJCsAVbZAvxk9f/fVokBfrIGWOVn9ZWf1Ve+//vhZ/WVr5+vfHwtsljMfe+ek5GnHz/f6LJdY0LPKI2enCQfL80W1VU1mv/yD6qu/LV5b/LvRum62eeaWBVgZHaWoLmrHRGgAKBjKMgt1uzLX9G+7VnGExZp2JQB6pfqXft619bYlb79kNI2HVRVZcOzXAJD/dVrcIISB8UrMKRjbWdYkF2sXT/v04G0ww3Oqg8ND9TQMT3VLSHCrbV5ui0rdmr7j+nOY6u/n/679K8KjfTO7UjRMZkdotyBLAEAnm/ftoP657Wv60hWnQYnizRs8gD1TU00/YOBtuZwOLQ/PVcbVu1pcIJIz0HxGjC+jwI6wZbo9lq79mw8oO2r9hg+hPit8MggjZjYV5HRneP9dObOQ1r1xXrD2P+z99/hbZ1Xvuj/3agEQKIQ7L13UhSp3lzk3tLzmznnTr33nDkz97RpJ8nckzmZXp2Z9DiT5vTEnsRxtyxbkq3eSbH33jsJgqj794diSS9AqpJ7A+D38zx6HCwA3ssMKeLd73rX+sK7n0JKdqI6CRGF2AxrCYDrCSKiaHDq9QZ86Q9/LHQ9BYCqfSUo3V6gUlbKCgSCmBpbwMzkEmanXZibWsKK+/bHogOARivBnmJFYoYNielX/0T7WmRmdB4nf34J/pBJK9kFTmzbVxSzh0eaT3Sg7WzPtcdavRZfeOd/wcnRpBQh1F5LsLhrA3EBRUQU+SaHZ/G3v/1NjPWJrW51Bh12PrkFaXnJKmW2/oLBIPo6JtHWOISV5bUXSKn5TuRXZyE1zxn1iwTXvBtdF/rR3zyKYGD1zafULDtqtuciwWZSOLuN4ff70D0gti8uzCmFTnd7Y3DcSyt441vHhJsKv/Ynj+FDv/fAuuZJdC/UXkQpgWsJIqLIdv6dFnz5j34Mz7JXiOsMWux8ohZp+bGzjviAZ8WHhtN9GOpbvUtuYroNNfeXwJ5qVTgz9XlXfGg73YPexuGwzTngajfk0poMlNZkQhvBnczudS0BXD1M9No3jsDnub7m/MT/eBgf/a8PrVueRPdiM6wlAK4niIgi3fnDzfjX//YDBEIOTJTvKkTF7mKVslKGzxfA+NAcRgZmMDY0F1bAdDusTgvSCpKRmu+EPcUKrS5yP2PfranhWZz6xeWw75GcomTU7y2IyINE97qeWFn24I1vHhP2cp74nX34jT97el3zJLpbaq8lWNy1gbiAIiKKbMPdE/jb3/4mZsbEk/ZxFiP2fXQbbEkJKmW2/uZmXDh3rAuL8+7VXyAB2WXpKNuZB4vdrGxyCnDNu9F8vAsjnROrPi9JEnKLklFSnYF4a5zC2a2vRdc8/vjvfleIPfuZbyPBYrvtf8fZNxoweEMnu8Q0G77w7qeg02vXLU+ie6H2IkoJXEsQEUWuV7/1Hn70D68j9Jaa2WrC3g/VwRpD64gPjPTP4NKpXnhWwg+JxMUbUbmvCFmlqRG5waCkxRkXmo93YaxnatXnE2wm1O0tgDMlMr9H1mMtAQCX3mlGT+P1UaUp2Yn4l8N/Co0m9jbdKPpshrUEwPUEEVEka3i/Hf/8e8+HFTWV1Oejan9JTH6m9qz4MDIwi5GBGUyOzN/xmEVJkuDMsiO9IAlpBcmwxMhB7VuZHJzBqZcawg6u55WkYOvu/Ij7XlmP9cSld1vQ0zBw7bHRbMCXj30G8TG4b0XRR+21hE7VqxMREamkp2kIf/+738birEuIW2wm7Pvo9pj5oCjLMno7JtB4pm/NBVN6UTLKdxfA6oxXODvlWGwm7HiyGlPDs7hyrBPzE4vC87Iso69zAn1dE8jKc6K0OgO2xM0xNmU1RVtzheKumbF5nD/cjF2P16iYFREREZH6Xvr6Efz02TfD4s4MO3Y/XQej2aBCVhvHs+JD49k+DPas3q0rtzID1fcVQ2fgLUYASEi0YNczWzAxMIOmYx1YmBbXm4vzbhx7vRkFZamorMuGPka/brkVmUJx18TgDK6c6MSW/aUqZkVERESkvpYz3Xj2978XVthVWJsTk4Vdfn8A7Y0j6GwauaOCLp1BC1tyAhypVjjSrEjOSYQh7va7ycaK5OxE7Hy6BmdeaUAwcP3r19cxAZPFgPItWSpmtzFK6vPQ2zh47TCVZ9mLQz84yU7ARGBxFxERbUKtZ3vwT//5u3C7PELc6ozHvo9ugyk+ujs3fcDn9ePSyd41x6Yk5ySiYk8hHGmbZ2xKUqYD9//6dgy0jKLlRHfYGB3IwFDvNIZ6p5GWZUdBWSpSM+xRP57yTiWm2ZGYbsPM6PWudm8+f4LFXURERLSpvfzc0VULu3LKM1D3UFVMjQKRZRkjA7O4vEa3Lr1Rh9qHypFZnKJCdpEvJScR9/+HHWg/24eOs31hXd562sYxMjCL2l15yMhJVCnLjeNIs8GaFI+FqaVrsUPfP8XiLiIiItrUWs/24B//83fh8/iFeF5VFrbcXx5ThV0frCcaz/bB7fLe8vWONCsS022wp1phT0lAvMMcU1+Pe5Ga58SOJ2tw5tVGYQR8W8MwMnMSYXXERqOCD1hsZmSVpgmHz9/43gk88bsHEBdjh6mI7hSLu4iIaFO5cqIT//xfnoc3ZIMiMc2GvR+phyEuNj4cTo7O4/zx7lUXTrbkeFQdKEZyduxtItwOSZKQW5mBjOIUdJ7rQ9fFwbC2xgAwNjSHsaE5GOP0cCRZYHf+6k+iBSaLIeYXl0Vb83B2tOHa4/YLfehpGkJBVeydBiIiIiK6lVf+7Rh+/M9vhMWr9pagZHvkjcO4F8suDxpO92F0cPWRXmkFSag9WIY4i1HhzKKLRqtB+e4CpBcm49Lh1rDuwSvLXpx+twM5hUmo3ZUfUyPQJUlCYU0OLr3bci128UgrBtpHkVOarmJmREREROo4f7gZX/wfP4LPKxZ2ZZelo+5gZUytJxbn3Wg404eJkfk1XyNpJCRnO5BemIz0wmSuLW4hrSAJ25+owrnXmq4dHJGDMi6e6sF9j8fW9w8AlG4rEIq7lmaXcfTFc3jsN/eqmBWR+ljcRUREm0bbud5VC7uSs53Y88zWmBglEvAH0XxxAF0tY6s+X7g1GxV7i2Kqq8Dd0ht0qNhbhILabHRfHERv41BYO2zg6iiaDwq9PmAw6mBPtMCRHI/M3ETYEmPvJFFmUSpM8Ua4l653uHvreyfx+//4SRWzIiIiIlLeq996Dz/6x9fD4lvuL0PR1jzlE9ogwaCMntYxNF8aRMAffvhBb9Sh+v4SZJelxdxn341kT0nAfb+2Dd2XBtF2qifsazvQPYWZySVsv68YDmfsjIbPKc9A04lO+DzX198vP3cU//Xzv65iVkRERETKO/LCOfzb//53oesScPX+67ZHq2NmaoTfF0BbwzA6W0bD/luBqwcA0ouuFnOl5jk35ZjFe5FRlILibTnoONd/LTYzsYTe9gkUlKWqmNn6syUnIC0/GWO9k9dir33rPTz067ti6lAM0Z3izi4REW0K3Y2D+Mf/9J2wwq6MwhTs/XBdTBR2zUwu4d1Xr6xa2KU36rDz6RpU31fCwq4QcRYjKvcX4ZH/ey/KduVDH3fr7wWvx4+J0Xm0Nw7j3Veu4O1fNKDl0iAW5pYVyFgZGq0GBTU5Quzkq5cxP720xjuIiIiIYs/r33kfP/z718LiNffFVmHX7NQSjr7WhMZz/asWdqXmJ+HB39iFnPJ0FnbdBY1Gg+L6XDz4G7uQvMoYxqWFFRx9rQmdzaNhIxyjlc6gQ9HWXCF28rUGjPdPq5QRERERkbJkWcbLzx3FN/7sxbBip4yiVOx4Ygs0mui/Vy/LMga6p3DoFw3oaBpZtbDLmWnHA/9xB3Y8WY3ssjQWdt2l0p35sNhMQqzpwgDcy7cefRltSrblC4+nRuZw6rWGNV5NtDlE/28MIiKiWxhoH8Xf/9/fhtvlEeJZJWnY+VQttLrorvQP+INoOj+Ao683YXHOHfZ8UpYDD/zHnUgvTFYhu+hhiNOjbFcBHv3dvah5oAT2lITbfu/SwgraGoZx+KVGHP5lI9oah+FaXNnAbJWRX50Njfb6x0W/L4B3f3pWxYyIiIiIlPPGd4/j+3/7ali85r4yFNflKZ/QBvD7Amg824cjrzVhbtoV9rzRbMC2xyqx65kamOI5KuVeWWwm7PlILeoeqYDOIK5D5aCMK+f6cfJwG1bcsbE5U7Q1B9obTtbLQRkv/9tR9RIiIiIiUkgwGMQP/v61VUe751VlYeeTW4T7rtFqZmIRR19rxvn3u7CySoFRnMWIbY9XYt/H62BNilchw9ii1WlRe7BMiPl9ATSc6VMnoQ2UlOlAYrpdiL38jaMIBsMPIxFtFtH/W4OIiOgmRnsn8be//U0shXRUSi9MwfbHaqL+ZMzMxCLefaURHU0jQMiBGI1Wg6oDxdj7sa0wW+PUSTAK6Qw6FGzJxv3/YQce+q3dqH+sEoV1OUjKctxWh7eF2WW0XBzEoZ9fPakUzYxmA7JL04TY4R+dWnV8JREREVEsefN7J/C9v3klLF59oDRmCrvGh+fw9ksNVzv/rtIsKq8qAwd/cxeyOIZxXUmShJyKdDzwH3bAkWoNe358eB7v/PIKxofnlE9unRniDCioyRZix35+ATNj8yplRERERLTx/L4Avv6pF/D6t98Pe650RwHqHqqM+n2J5SUPzr3XiaOvN2N2KnzSg6SRUFSfg4O/tQtZpVxPrKfknERkl6cLsZH+GYwMzKiU0caQJAml2wuE2FDnOC4daVMpIyL1Rf8MKiIiojVMDs3gr3/z3zAfsrhIyXVi5xO1UX0yJuAPouXSIDpbRlfdiLElJ6D+sQpYnTwNcy/iHWbEO8zILrta4CTLMpYXVjA3sYjZsXmMdE5geWH1Dl2yLKPp/AAC/iDKa7OUTHtdFdbmor/lepHazPgCzr3dhN1PbFExKyIiIqKNc+bNK3j+r14Oi1fvL0VJff4q74guXo8fV871o79rctXnExItqD1YBmemXdnENhmL3Yz9n6xH66kedJ7vF57zrPhw4u02lNdmRfVaAgCK6/LQfXkAwcDVE/YBXwCvffs9/MafPa1yZkRERETrz7Xgxpf/6Me4fKw97LlY6ADsWlxB+5UR9HdNrjp+EbhafFRzfwkSEi0KZ7d5VB0ownjvFLwrvmuxy6f7kJxmhf42DqhHi/SCZCQkxmNx5voe3xvPH0f9wQoVsyJST+z8dBMREd1gZnwBf/Nb3ww7EZyU6cDup+ug1UVvYdf0+CIunOjG0ipFRZJGQtmufBTX50Z18VqkkiQJFpsJFpsJmcUpqNxXhNmxBQx3jGO4YxwrrvDW062XhyDLMsprs6LyhJIj1QZnuh3To3PXYm99/ySLu4iIiCgmDXaM4Wuf+llYvGpfCUq2RX9h1+jgLC6d7MGK2xf2nEarQenOfBTX53AtoRCNVoPKfUVIzknEhTeb4QkZZdN6eQgajYTSmkyVMrx3pvg45FVmoqdx8FrsnZ+cwYf+y4OwcsOPiIiIYkjX5QF88Q9/hMmhWSEuaSRse6QaOeUZKmV2b2RZxuToArrbxjA6OLvqYXMAsNhNqDpQjLT8pKi8Dx5NjCYDqu4rxsW3Wq7FVpa9uHJ+AHV7Cm7yzugiSRJKt+Xj/KEr12LNp7oxPToHZ8jIRqLNgMVdREQUcxaml/C3v/1vGB+YFuKOVCv2fKgeOr1WpczuzfKSB00XBjDUO73q8/aUBNQ9UsHZ9QqSJAmJ6TYkpttQtb8Y0yNzGGwdQ3+zOI6xrWEYsiyjYmt2VC5sC7fmCsVd7ef70Ns8jPzK6N1kIiIiIgq1NL+MZ3//e2EFNpV7i8PGQUQbz4oPjWf7MNiz+loiKduB2oNliLebFc6MACAlJxEP/l87cfFQC8b7xP+Pmi8OQm/QoqAsbY13R76SbfnovXL10AsAeNw+vPn8cXzyDx9VOTMiIiKiexcMBvH6t9/HT559EwF/UHhOq9Ng51NbkZ6frFJ2d8/vC6C/exI9reNYnHev+TqdQYeyXfko2JLFQyIKyi5Lw2DrGCZvGMfY1zGBrDwnUjJsKma2vrJK09BwrBU+j/9a7PQbjXjydw+omBWROvg3LBERxZSAP4DP/9fvY7hrQohbnfHY+5Ft0Bujr67Z7wug5dIg3v5Fw6qFXRqthIo9hTjwa9tY2KUiSSMhKcuBrQ+XY8uDpWHPtzeOoPnCwLUNjWiSWZSKOItRiL31/ZMqZUNERES0/oKBIL78Rz8OOyCSW5kZ9YVdw33TOPxS46qFXTqDFrUHy7D3o1tZ2KUyo9mAXR/agsr9RWHPXT7dh4HuKRWyWh8WmxnZZelC7K3vn8Ty4uoj7omIiIiixcL0Ev7pP38XP/yH18MKuwxxeuz/2PaoK+xaWlhBw5k+vP6zi2g43bdmYZdGq0FBbTYe/p3dKKpj91+lSZKE2oNl0IY0M7h4ohs+X0ClrNafVqdFZlGqEDv1WoNK2RCpK/p2uImIiG7i519+B+3n+4RYvN2M/R/bDqPJoE5Sd0mWZQz2TKHpwiBWlsPH/QGAPdWKukfKYXWyqCuS5NdcHcF4+Z02Id7RNIqgDFRvy4mqDl4arQYFW3LQcrLzWuzkK5fxH/70cX7vERERUUz42b8eQsN7HULMkWbD1gcroupz2408Kz40nOlbs/NvSq4TtQ+VwZwQp3BmtBZJklBcnwuNRsKVY53CcxeOd0Gn1yAjJ1Gl7O5N6fYCDLRe73C8vLiCt390Ch/6vQdUzIqIiIjo7rWc6cGX//jHmB1fCHsuKdOB7Y9viarP2tMTi+hsGsHIwOxNX6czaJFbmYHibblhB4JJWRabCZX7CtF45PpadtnlRcOZPmzbV6hiZusrqzQdfc3D1x53Nw5hvH8aqblOFbMiUh6Lu4iIKGY0n+7GL776rhAzJcRh/8e2R90iY2ZyEQ1n+jE7tbTq89daHddmQaPhiZhIlFedCUkj4dLbrUK8q3kUclBGzY7cqNoozK/OQtuZLgQDVzuP+bx+vPX9k/jE/3xE5cyIiIiI7s2ZN6/gl18/IsSMZgN2PbUVWl30jXSXZRlDvdNoPNcPj9sX9rzeqEP1fSXILk+Lqs+jm0nh1hz4PH60ne69FpNl4OzRTux5uAwp6dE3ZsXqjEdmUSqGu8avxV7/9vt47Df3Rt1BLCIiItrcZFnGL776Ll784tuQg+FTGsp2FqJ8V2FU3LeXgzJGBmfR2TSCmcnV9yI+EO8wo6A2C9nl6dAbWGIQKfJrsjDcMYHp4blrsYGuSSSlJiCvOEW9xNZRcnYijCYDPO7rTRBOvd6AD//+gypmRaQ8/s1LREQxYWF6CV/+4x8LI+8kjYRdT9XCbDWpmNmdWVn2ouniIAa6Jld/gQTkV2eibHcBb4BHgdzKDEiShIuHWoR4d+sYdHotKuuyVcrszsWZjcgqSRdO27/+3ffxyG/sgY3du4iIiChKjfZN4blPvyDEJI2EXU/WRtUp+w/Mzy6j4XQvpsYXV30+rSAJWx4sgyk+ug6/bEalO/Ph8/jRfWnwWiwYlHH6nXbse6wCiUnR9xm8dEeBUNy1MOPC+y9dxEO/vkvFrIiIiIhuXzAQxLc/9xLe+cmZsOeMZgN2PL4FKTmR303I7w+gv2sSXc2jcC16bvratIIkFNRmIznbwcMhEUiSJNQ9XI4jPzwL/w3jGC+f7oU90QK706JidutDo9EgszgVPY3X10YnX2NxF20+knzjLjitq9nZm7etJCKi9REMBvFP//l5XD4mjsCr2l+K0m35KmV1Z4KBILpbx9DaMCx8AL9Rck4iqg8UwxqFN/E3u8G2MVx4qxm48VOXBNz/RCUSkxPW9VqBQADjU8NCLDUpE1rtvXedWJhewtvfPy78dzz2W3vxW//7mXv+dxPdCYfDoXYKG45rCSKijedd8eHPP/EV9LeNCvHaBytQuCVHpazujs/rR+vlIXS3jmG1O316ow41D5QiqzSVGzJRRJZlXDrcioFm8XvUYNThvscrkWBf34NMG7mW+MDxn5/HeP/UtcfZpWn4h1f+J78vSTGbYS0BcD1BRLQR/L4Avva/foaTr14Oey4lx4ntj9VExQSR0cFZXD7dC7fLu+ZrdAYt8qozkV+TBYsteg7Pb2ZD7eM4/0aTELMkGPHg09WKdVrbyPXE5NAM3nvhrBD7x9f/ENnFaff87ya6XWqvJdi5i4iIot6bz58IK+xKzU1CSX2eOgndofHhOTSe7cPi/Mqqz1vsJlQdKEZafhJveEep7LI0SBJw4c2W693lZODCiR48+HQ1tNr1a9Gt1WqRkboxm5FWZzxyyzPQ33K9e9fhH53GE7+zH8mZm+MGOREREcWO5//65bDCrpzyDBTURE93VQAYG5rFhRM9q45gBIDUPCdqHypnt64oJEkSth4sh98bwEjnxLW41+PH8UOteODpasSZ9Ot2vY1cS3ygqC5XKO4abB9D27lelO8o2NDrEhEREd0L74oPX/jvP8TFI63iExJQuacYpdsLIv7e/bLLg8YzfRgZWLsA2JQQh8Kt2citzIDeyDKCaJJVmoqZ0Tn0XB66FnMtenDhRA923l+syPfnRq4nkjIdiLMYseK63mnu9GuNyP6fLO6izSPyh/0SERHdRPeVIfzon94QYnFmI7Y9Vh3xi6nFeTdOvtOOE2+3rVrYpTNoUbm/CAd/YxfSC5Ij/r+Hbi6rNA1lu8UNi8U5N9oahtZ4R2Qq31UESXP9e9HvC+Dfv/i2ihkRERER3blTrzXg3Z+Kp36tznhsPVgRNZ+7ZVlG6+UhnDzcvmphlykhDjueqsGuD21hYVcUkzQS6h+tRHJOohB3L3tx4Xg3om0oQ2puEix2sxB76wcnVcqGiIiI6NbcSx78w3/6Tlhhl0Z7dZx72Y7CiF5DBIMyuppHcfgXDWsWdtlSErDtsUo8/Nu7UVSXw8KuKFW1vxiOVKsQG+mfQVfLmEoZrR9JkpBVKhZynXytIerWQ0T3gsVdREQUtaZH5/D5338egZAxhtseq0acObI3Lwa6J/HuK1cwNrj6YiqnIh0P/dZuFNfnQrOOXZ1IXcX1ObCliGMYO66MYHHOrVJGd85iM6OgRjx9895LFzE9OqdOQkRERER3aGHGhe/8xS+FmFavxc4na6HTR8cmhtfjx6l32tF6OfyggEarQenOPBz8zV3IKOIhkVig1Wmw86lqONLEjZrx4Tl0t0bXRo0kSWFjT88dasbc1KJKGRERERGtbWluGX/zW/+GltPdQlyr02LPh+qRGeEj4WanlnD0tSY0nuuH3x8Me96Zacfej23F/b++HVlladyLiHIarQbbn6yCPk5c1zadH8D0RPR/3s4uTRcej/VNoe+GKSNEsY5/QxMRUVRaXlzBP/7n72JmfEGIl24vQGpukkpZ3VrAH8TFEz04/343AqsspuypVhz4/21D3SMViLNEdoEa3TmNVoO6h8uFzleyDDRdGFAxqztXtrMAWr322mM5KOPiu603eQcRERFR5PjB372KxVmXEKs7WAmrM16ljO7M/IwLR169grGhubDnUvOcOPgbO1G+uxC6Gz6vUfTTGXTY9cwWGM0GId50fgDzM6413hWZcisyodVdvy0dDARx9q0mFTMiIiIiCjc7sYC//I/PobtxUIjrjTrs++i2iN6HkGUZLZcGceS1JsxNh39WNJj0qHukAvs+Xofk7EQeCIkhZqsJ2x6tFGKyLOPM0U54VsI7PkcTR6oNZqtJiJ18tUGlbIiUx+IuIiKKOsFAEF/6wx9hoG1UiCdlOlCxu0ilrG5tacGNo681oa9zIuw5g0mPrQ+X475f24bEdJsK2ZFSbMkJKK4XT6qPDs5icnRepYzuXJzZiIzCFCF2+Vi7StkQERER3b6G99vx/ksXhVhGUSpyyjNUyujODPZM4ehrzXAteoS4JEmo3F+EXR/aEjbyjmKH0WxA/aMVQiwYlHH2vS74/YE13hV5DHF6pIesJ069xk0ZIiIiihyuBTf+6v96DoMdYpdUo8mAAx/fgaRMh0qZ3Zosy2g6P4C2hmFglYl1OZXpeOg3dyOnIp1FXTEqNT8JJTvyhNjKshfn3utCMBi9YwwlSUJ2yGjG069zNCNtHizuIiKiqPOjf3o9rJAk3mHGrqe3Rmzb4OG+abz7ShPmZ5fDnsurzsTDv70HuZUZXExtEsXb8mAw6YXYlfMD67IICQQCGBkfEP4EAuu/0ZOenyw8bjrVBW+Un/whIiKi2Lay7MW3/vwXQkxv1KH2gXKVMrp9wWAQDWf6cO69LgQCYgdgg0mPPR+tRXF9LtcTm0BKrhNFdeJhkcU5N66c67/nf7dSawkAyCoRR6q0n+/DzFj0HHghIiKi2CXLMr7xZy9itHdKiJvi43DgkztgT7Gu8U71fVDY1dk8GvZcQqIZ+z5Rh7qHK8LuTVPsKd9VgKRssQhxYmQeJw+3wevxb8g1lVhPZIWMZpwamUPn5eiajEJ0t3S3fgkREVHkOPbv5/Hat94XYgaTHns/vA1Gk2GNd6knGAjiyvkBdLeOhT2n1WtRe7AM2WVpq7yTYpneqEP5rgI0HLlepDg37cJgzzRyCu+tnffyyhI+96U/FGLPfubbSLCsb0e41LwkQMK101/eFR9azvag9kDpul6HiIiIaL288IVDmByaFWLV+0thio9TKaPb4/cFcPrdDkys0unVkWrF9qeqYU6I7P8GWl8VewsxOTSL+YnFa7He9gmkZtiRkZt41/9epdYSAJCWlwSdQQe/9+rGkizLOP1GI574nf3rfi0iIiKiO3H4x2fCRkZb7Gbs/9h2WEJGwkUSWZbRdGH1wq7y3QUo3pYbsYfjaf1JGgnbHqvE0R+dxYrLey0+MTKPI682YffBUljt6/v9rMR6wpaUgIRECxZvGE1/6tUGlGzNXbdrEEUq/g1ORERRo/1CH7752Z8LMUkjYffTdYiPwNEjAX8Qx99uW7WwKyHRgvt/fTsLuzax3KoMxDvE79vmiwMI+INrvCOyGOIMcKbbhdilo23qJENERER0C92Ng3jju8eFWFKmA3lVWSpldHv8vgBOvtO+amFXXnUm9n2inoVdm5BGq8G2xyqh1Ym3di+e7IH7ho2bSKbVacNGvZ9+vVGlbIiIiIiu6m0exvf/5hUhZojT48DHI7ywKyjj0qledDaFF3bVPVKB0p35LOzahOIsRmx7oirs/3vX4gqOvtaEkYEZlTK7e5IkhXUBPv1GI4KB6NhXIboX/FuciIiiwuTwLD7//34ffp/YwnXrwcqInG8fDMo4+14npsYWwp7LLk/Dfb++HQmJFhUyo0ih0WpQub9IiLldXnS1hC/AI1VayGjGy0fbON+eiIiIIo7fF8A3/r9/hxy8/jlFo9Wg7qHKiB5j6PcFcOJwW9iaQqPVYOvD5ag9WBZW3EObR0KiBdX3i11zvR4/zr/fJXyvR7LQkSqdlwcwORR9G0xEREQUGxZnXfj8//t9+LziyLr6R6phTojcwq6AP4gzRzvQ1zER9lzdIxXIqUhf5V20WSRlOrDvY3UwmsXJNx90iG69PBR19/SzS8WmCXOTi+hpGlYpGyLl8A4QERFFvBWXB8/+l+exML0kxIvqcpEfgSftZVnG5dO9GB0QR75otBrUHixD3SMV0Om1KmVHkSQtPwlJWWJxYvuVEXhWfCpldGfS8sTironBGYz2TqmUDREREdHqXv3WexhoEwvoy3cVIiExXqWMbs3nC+DE222YHl8U4vo4HfZ/og65lRkqZUaRJLcyHRnFYverybEFdDSPqJTRnUnNccIQpxdip9i9i4iIiFQQDATx5T/6MaaGxXv6RVtzw7qNRhKvx4/jb7diJGQvAmBhF12XmGHD/b++HfaUhLDnWi8P4fS7HWFFjZEsITE+rHnC5WOcKkKxj8VdREQU0YLBIL72v36G/pDNmNTcJFTvL13jXepqaxgOOyWjM+iw/5P1yKvOjOjuAKQsSZJQdUDs3uX3BdB6eUiljO6MLTkBcRajELt0tFWlbIiIiIjCjfZO4udfOizErEnxKKnPVymjW/N5/ThxqBXTE2JhlyFOj30fq4MjzaZSZhRpJElC7cEymBLEz+QtF4cwO7W0xrsih0arQUZRqhDjaEYiIiJSwwtfeBuNxzuFmDPDHrF7EADg9wdw4u3WsAMhGq2E7U9Ws7CLBKaEOOz/ZD2yytLCnhsdnMXR15vhXo6OEe9A+MFzFnfRZsDiLiIiimj//sXDOHuoSYjFOyzY8cQWaDSR92usp308rDBHo9Vg1zM1cKRaVcqKIpk9xYrscnFB1dcxgZUoWEhJkhQ+mvFYu0rZEBEREYmCwSD+7X//XDyBLAH1D1dBo428tQQArCx78f5brZiZFAtzDCY99n5sK2zJ4SetaXMzxOlR/2glcMMZIlmW0Xi2PyrGq2SViGuh3uZhjPaxGzAREREp5/w7LXjpa+8KsTizETufrI3YdYMsy7jwfjdmp1xCXGfQYs9HtiKzOHK7jZF6tDot6h+tQNWB4rAmBItzbhw/1Bo9U0VC9iV6rgxjfjryD7gQ3YvI/I1EREQE4NTrDfj5V94RYnqjHns+VBc2uiESjPTP4PLp3rB4/WOVYaP3iG5UvrsQGu31xVQwKKOrZfQm74gcoYuo1nO9cC95VMqGiIiI6Lq3vncSrWd7hFhRbS4S0+zqJHQLC3NuHH29GXPT4gaNwXS1YxcLu2gtSVkOlO7IE2LTE4uYGJ1XJ6E7kJydCKPZIMQa3uOBESIiIlLGaN8UvvonPxFikkbCzqdqYYqPUymrW2u5NITh/hkhFmcxYP8n6rkXQTclSRKK6nKw5yO1Yftsi3NuHH8rOgq8nBkO6PTaa49lWUbj+x0qZkS08VjcRUREEWmwYwzPffoFISZJEnY+uQUJDssa71LP1PgCzr7XCYQcjN7yQClPydAtma1xyC4X22T3tI3D64n8OfcpOU5ImuuFaQFfAE0nO2/yDiIiIqKNN9o7iZ88+6YQM1vjULmnWKWMbm56YhHHXm/CckiRvNFswL6P18GaFK9SZhQtSrbnw2wVNyBbLw9FfPcujUaD1JwkITbUMaZSNkRERLSZeFd8+Jf/+v2wg6rV+0uRlBm5BVID3ZNobxwWYjqDDnt5IITuQHJOIu779e2w2E1CfH52GSfebov4vQmtToOUHKcQu8J9CYpxLO4iIqKI41pw4/N/8D143OLpgJr7y5Cam7TGu9SzMLuMU++0IxgQb5qX7sxD/pYslbKiaFO8LVcYpeL3B9HTFvmbGnqDDkmZiULsEufbExERkYqCgSC+9qmfwRty2rj+4WroDDqVslrb+Mgcjh9qhc8bEOJma9zVwi4nC7vo1rQ6DUp25AuxmYmlqOjeFVq8ONQ1oVImREREtJn8+J/fwGC7eP81uywdRVtzVcro1qbGF3DxhNidWJIk7HiyCgmJkXconiKbxWbC3o/VhR0SmZt24cTbbfB5I7vAK7S4q/1cnzqJECmExV1ERBRRgsEgvvonP8VY/7QQz6vKQuGWHJWyWtuK24cTh9vCNmJyqzJQtqtApawoGsXbzcgsThViXS1j8PsCa7wjcqQXiKMZLx9rj/gOAURERBS7Xv/O++i8NCDECmtzwm78RoLhvmmcPNyOgD8oxB2pVtz3a9u5QUN3JKc8LWxjpu3ycMR/Ng8tYBzsGIv4nImIiCi6Nb7fgTefPyHErM541D1UCUmS1niXulyLKzj9bgeCQfFzUs0DJUjJjby1DkUHc0Ic9n6sDqYEoxCfnVrCycPtEb0/kZQlHjqfGJrB9OicOskQKYDFXUREFFH+/YuHcfFIqxBzpNpQ+0B5xC2qgoEgzhztgNvlFeJpBUnY8mBpxOVLka9ku3gqzOvxo68z8k+tp+WJHfVmxxfQ3zqqUjZERES0mQ13jeNn/3JIiFlsZlTtK1Epo7X1dU7gzLFOyCGbM6l5Tuz9eB2MZoNKmVG00mg1KNmRJ8SmJxYxObqgTkK3KbS4a3lxBbPjkZ0zERERRa/FWRe+9umfCTGNVoOdT9ZCp4+8Tr8A4PP6cfJwe9iovILabOTXcHoI3ZsPOnjFWcQ16PTEIk6+0w6/PzILvKzOeOiNeiHWdq5XpWyINh6Lu4iIKGK8+b0T+PlX3hFiRpMBu56uhVanVSmr1cmyjIsnezA9vijEE9Nt2PZ4FTQa/oqlO2dLTkBqvnjKqqNpJKyTQ6SJd1hgsZmEWOPxDpWyISIios0q4A/ga596IWx0xLZHqiJuk6azefTqOJWQ5kSZJanY+XQNdPrIWv9Q9MgpTw/r3tV6eSiiO2GZraaw7/nBzsgfUU9ERETRR5ZlfPOzP8fchHhfv/pAacSOQw8GZZw52onFebcQT81zovpAsUpZUayJt5ux92N1MJrFYqmpsYVVO8ZFAkmSkJTpEGKtLO6iGMadZyIiigjHfn4Bz//Vy2JQAnY8uQXmBNPqb1JRe+MIBrqnhJgpwciNGLpnJdvzhMcryz70d0V29y5JkpCSK3bv6m0eVikbIiIi2qxe/dZ76G4cFGJFdblhoxrUJMsymi8O4sq5/rDn8qozse2xSmi0vF1Hdy8au3dJkhS2mTrUOa5SNkRERBTL3vvFRZx9q0mIpeYloXBLjkoZ3dqVc/2YGJkXYtakeGx7ogqShtNDaP0kJFqw96N1MMSJBV4TI/NovxKZ9/uTssTiLnbuoljGu0VERKS6M29ewXOfeSEsXnt/OVKyI29W/FDvFFouiZtGWp0GO5/ewtEpdM+cGfawBUn7lREEA5HdvcuRYhUe97G4i4iIiBQ02DGGF7/wthCLd5hRuSdyxjHKsoyGM31obwz/nFSyPffqaHduztA6yClPhykhurp3hRZ3DXawuIuIiIjW1/jANL77ly8JMUOcHvUPV0GSIvNz+MjADLpbxY6mRrMeu56pgd4QWd2JKTZYk+Kx56NboTeK319tl4cwHdLxLhKEdu4a7p7A/PSSStkQbSwWdxERkaqaTnbhS3/0Y8ghLV0r9xajsDZXpazWNj2xiPPvd4fFtz1eBXtKggoZUSwq3ZkvPHa7vOjvmlQpm9tjDynuGuufxvKie41XExEREa0fvy+Ar33qZ/D7AteDErDtkeqI6aobDAZx/v1u9LSFF6xU7itCxd6iiN1Qouij0WpQulr3rrHI7d5lTRLX0+zcRUREROsp4A/ga//rZ1hxeYV43cNVMMXHrfEudS27PLhwXNyL0GivHjI3WyNv2gnFDntKAnZ9aIuwRpVl4Nx7XfB5/SpmFs6ebIU2ZN3ffr5PnWSINhhLeomISDXj/dP41//+AwRu3IQBULItH6XbC1TKam2uxRWcfrc9bLZ41YFipBcmq5QVxaLkbAecmXZMD89di7U3DiO3OBkazc1r801GM/74d/8iLLbRrM4ESBpJKNTsbx1F+Y7I+1kmIiKi2PLyc0fQ2yR2wyqpy4czw7HGO5QV8Adx5lgnxgZnw56rPViGvOpMFbKiWJdTkY72s31wL65ci7VeHkJymnXNQkK11hJAeOeuoa5xBIPBW65/iIiIiG7Hy984hvYLfUIsryoLmUWp6iR0C8GgjHPHuuDzinsnNfeXIDHdplJWtJk4M+wo3ZWPtlM912LLSx40nOnDtv1Fq75HjfWERquBM92OiYHpa7G2873Y8WjVhl6XSA0s7iIiIlWsuDx49g++B9e82NknvyYbVftKIu7Uutfjx8nD7fCsiKcS8msyUbg1W6WsKJaV7czHiZ9fuvZ42eXFQPcU8opTbvo+nU6P0gLlFy5anQZWZzzmJ6+3Zu5tHmZxFxEREW2ovpYR/Pwr7wixhEQLKvasfrNZaT5fAKfeacdUSMckSSNh22OVyCyJzM0kin4fdO+6/E7btdj0+NXuXSlrbAiqtZYAwou7PMteTI/MITkrUZV8iIiIKHa0X+jDi18UR7hbbCbU3FemUka31nJxIGwEXmZxCnKrMlTKiDajku25mOifxszI/LXYQPcUcoqSV11TqLWeSMpKFIq7Ws703OTVRNGLR5+IiEhxsizja5/6GQY7xFnxGUWp2PpgRcQVdgWDQZw92onFkEK0lFwnqu+PvEI0ig1J2Y6wU1jtjcNhneMiiSNkNGNf64hKmRAREdFm4PP48fVP/QwBf/BaTJIkbHu0Blqd+uMYPSs+vP9mS1hhl1anwa5ntrCwizZcTkU6TAnimKG2y0OQ5chbU8RZjNAbxXPIgx0czUhERET3xrXgxpf/6McIBq6vGSAB2x+rgd4QmT1Qhvtn0NE0KsTM1jjUPlTOvQhSlEajQf2jldAZxPV184XBiFpTJGWKXbv7W0cwNRLeOZso2rG4i4iIFPfS147g7FtNQszqjMf2R6sjbnEiyzIunerFxOi8ELc6Ldj+RBVHRNCGkSQJpTvzhZhr0YPBnimVMro1W2hxVzOLu4iIiGjj/PRf3kR/m7jpUbI9H4lp6o8pcbu8eO/NFsxNu4S4zqDDno9sRWqeU6XMaDPRaDUo2Z4rxKbGF8MKDiOBJEmwOhOE2FAni7uIiIjo7smyjG/9+S8wNTInxMt3FkXMCPdQi/NuXDjeLcQkjYRtj1eFFcITKcFiM6Fyn9gZe3ZqCaODkVM85Uy3Q2/UC7Hzb7eolA3RxuGONBERKeriu6144V8PCTG9UY/dz9RBF4EnZdobR9DfOSnEjGYDdn1oCxdTtOFSchPhSBULpjqujETUqZgbhXbuGu6egHfFp1I2REREFMsa3m/Ha996X4hZnfEo36n+OMbFeTeOvd6ExTmx86/BpMe+j9fBmWlXJzHalHIrM2BKMAqx1stDKmVzc9YkcTTjYOfYGq8kIiIiurXjL1/CqdcahFhyViLKdxaqlNHN+X0BnDnSAb8vIMSr7ysJm/BApKTcygxYbCYh1nJxEHKETBnRaDVIL0gWYufeblrj1UTRi8VdRESkmJGeSXz5j38sFqZIwM4ntyDeblYvsTUM9kyh5dKgEPtghIrZalrjXUTrR5IklO4Su3ctzrsxPjynTkK3YEsWT9oHA0EMtHNDhoiIiNbX7MQCvvonPxViGq0GOx7fAq1O3VtdM5NLOPZ6M5ZdXiFuSjBi/yfqYU9JWOOdRBvjaveuPCE2Nb6I6YlFdRK6CatTLO5i5y4iIiK6W5NDM/jO514SYnqjDtseq4akiazpIcDVLmMXT/ZgIeSASFZZGvJrMlXKiugqjVaDst0FQmxhzo3B3siZMpJRlCo8bj3Xi4UZ1xqvJopOLO4iIiJFLC+68ezvPw/3kkeIV+8rRWpukkpZrW1qfCGs/TEA1D9WBUeadZV3EG2M1DwnEhItQqyree2CqWAwiEXXvPAnGAxudJoAAJ1eF5Zrb/OwItcmIiKizSEYCOIrf/KTsJu0VftKwgrNldbXOYH33miG1+MX4vEOM/Z/YlvY5yQipeRWZiAuXuze1XElfIS6mmsJILy4a7h7AsGActcnIiKi2BAMBPGVP/1p2F5E3cFKmBMi89B2d+sYhnqnhZg1KR61B8sgSZFXjEabT1Zpalin3ZZLQ8LndTXXE6m5ScJhLzko4+K7HM1IsYXzpIiIaMMFg0F85U9+ipEecbxhdmk6iuvz1EnqJhbn3Tj9bgeCIS1lqw4UI6MoeY13EW0MSZJQWJeDy4dbr8UmRucxP+OCbZUNQpd7EX/8d78rxJ79zLeRYFGmdbc9xYrFGzZb+1pY3EVERETr56WvH0HzKfEQRnpBMoq25qqU0dX1TuPZfvS0hXcZsqckYPeHa2E0G1TIjOgqjVaDorocNL3XeS02OjiLhTk3rPbrG5xqryWsieJmkc/jx+TwLFJznIpcn4iIiGLDL587ivbzfUIstyIDWaXp6iR0C5Oj87hyrl+I6Qxa7HiyGjq9VqWsiESSJKFiTyFOv3x91Onykge9nRMoLEsDoO56QqfXIjUvGSNd19fl595uxv0f377h1yZSCjt3ERHRhnv5uaO4+G6rELMlJ6Du4aqIO3XiWfHh5OG2sNP2+VuyULg1W6WsaLPLLkuFwaQXYp0tkTnu0J4idrbrawnvCEBERER0N9rO9eLFL74txEzxcah/pFq1dcWK24fjb7WuWtiVnJOIvR+vY2EXRYTcqgzojeI5346myPqsbjQbYIgT1z3DXRMqZUNERETRqKthEP/+JXHNYLaasOX+CpUyujnX4grOHO2ELJ4zR/2jlYh3mNVJimgNqflOJKaLhVptDcMI+COj225GYYrw+MrxTqy4PGu8mij6sLiLiIg2VF/LCF780mEhZjDpsfuZuog7dRLwB3Hq3Xa4FsUPe6n5Sai5ryTiCtFo89DqtCjYkiXEhnqmsLLsVSmjtdmTxeKugbZR+H0BlbIhIiKiWLE468KX/ujHkG/srisBOx6vgdGkTvHU7NQSjrxyBVPji2HPFW7Nxu4Pb4HewKb5FBn0Bh3yQ9YUgz1TWI6gzQ5JkpAQ0r1rqDO8cJKIiIhoNSsuD77yxz8WC01+tWYILXKPBH5fAKff7Qg7aF6yIw/phZwgQpFHkiRU7C0UYh63D+Mjc+okFCK9IAWS5vo+ns/rR8N77SpmRLS+WNxFREQbxuvx4Wuf+hkCNxZ2SMDOJ2thsUbWbPuAP4izxzoxM7EkxG3JCdj+eKXwgZBIDfk1WdBor390CwZldK/SIUJtoZ27/L4AhrsiL08iIiKKHrIs47nPvIiZsXkhXrG7GElZiark1N81iWOvN8MdUmyv0WpQ92gFqu8rgUbD224UWQprs4U1hRyU0dU8qmJG4azOkOKubq4liIiI6PZ8729fwVj/tBAr31EIZ4ZDpYzWJssyLpzoxvzsshBPK0hC+e4ClbIiurWkLAecGWL3ruG+6TVerSxDnB7JIfcIzr3drFI2ROuPd5mIiGjDfO+vXsZAm3ijuHR7AVKynSpltDqfL4CT77RhdHBWiJsSjNj1oS3Q8bQ9RQCj2YDs8jQh1tM2Bl+EdcUyxOlhDine7Lg0oFI2REREFAvefP4ELrzTIsSSsxNRtl35TQ9ZlnHlXD8uHO9GMCjOTjHFG7H/k/XIKU9XPC+i22E0G5BblSHEejsmwrpFqMnqtAiPOZaRiIiIbse5t5tx5GfnhFhimg1luwrXeIe62q+MYLhvRoglJJpR/2glJ4hQxMssTRUejw7MRs5oxiIxt0tH2+D3Rs56h+hesLiLiIg2xPu/vIh3fnpWiNmSElC+s0iljFbnWfHh+FstmBxdEOI6gxa7PlQLU7xRpcyIwhVuzRYe+7wB9EZg9y5nhl14fPlYmzqJEBERUdTrbx3BD//xdSFmNBmw/bEaxbvrBoMyLhzvRucqnY6cmXbc/x92wJFqXeWdRJGjqC5H2DAM+IPobhtTMSNR6FjG4e4JBIORsVFEREREkWlpfhnf/OzPhZhOr8X2x7dEZDfd0cFZtFwcFGI6gw47n94SkeMjiUJlFKUIj/3+IMaH59RJJkRGoZjb8uIKms90q5QN0fqKvN9oREQU9QY7x/CtkMWUVqfFjie2QKuLnF89bpcX773ZgtkplxDXGbTY9cwW2JLi13gnkTqsznikFSQJsc7m0Yg5FfOBtPxk4XHTyS54V3wqZUNERETRyufx46v/K2TMO4Btj1XDFB+naC4BfxBnjnRgoHsq7LmC2izs/ehWGM0GRXMiuhsWmwmZJeKGR3fLGPz+yOgIHDqW0bPsxfTo/BqvJiIiIgJ++uxbWJheEmJbHihHvN2sUkZrW5xz49x7XWJQArY/UYV4R+TlS7SaOIsRzky7EBvuj4zRjKb4OCSmiWMjzx3iaEaKDZGzw05ERDFhxeXBF/7bD+Fxi4UcdQ9Vht2kVdPSwgqOvd6ExTm3EDeY9Nj3sTokZTlUyozo5kp35AuPPSs+9HVG1qiStLwk4IZGGt4VH5pP83QMERER3Zl///LhsDHvJdvykZaXvMY7NobP68eJt1vDxrhLGglbHy5Hzf2l0Gh5i42iR/G2XOGx1+NHf+ekStmI4izGsI4VQ52R162YiIiIIkPnpX6885MzQiwtPxm5FZkqZbQ2r8ePU++2wx9yeKVybxFS85wqZUV0dzJLomc044V3WtgNmGIC7zwREdG6kWUZ3/zszzHcLRaa5FdnIac8Q6Wsws3NuHDs9WYsu7xC3BRvxP5P1MPOUSoUwRxpViTnJAqxjqYRBAORszgxxBmQlCEWSF480qpSNkRERBSNOi/14+VvHBVitqQEVO4pVjQPz4oP77/ViqnxRSGu0Wqw8+ka5FZGzjqH6HbZkhOQkituIHY2jUTEhockSbCGjGbsbwsfhUpEREQU8AfwzT//BWRZvhbT6rSofbBCGEMdCbyeqwdGlhZWhHhWaSqK6nNUyoro7mUUiYeu/P4gJkcXVMpGFFrcNTe5iK7LAyplQ7R+WNxFRETr5vCPz+DEK5eFmD3Fii33l6uT0CqmJxbx/hst8ISMiIt3mLH/k9uQkGhRKTOi21e6I0947HZ5MdATPiJITaGjGS8daRVutBARERGtxeP24muf+hnk4PXPDpJGwrbHqhXtkLW85MGx15sxNx06xl2HvR/dirT8pDXeSRT5Qrt3Lbu8GBmYUyeZELYU8cBVb9OQSpkQERFRJHvj+RNhnX4rdhfBYjWplNHqVpa9eO/NFsxOiesKW3ICah8qj7hCNKLbEWcxIinLLsTGhmdXf7HCEhwWJIQcGDn1WqNK2RCtHxZ3ERHRuuhtHsb3/vplIaY36rDzyVpodVqVshJNjs7j+KFW+ELaHtuSE7D/E/UwW+NUyozozjgz7UjMEOfGd1wZETZA1ZZekCI8nh6dx0D7mErZEBERUTT5ybNvYrRXLFyv2F0Ee7JyHXYX5pZx7PXmsJP1RrMB+z5eB2emXbFciDZCUpYdjjTxZ6q7NTI+rztCumn3Ng+rlAkRERFFqqmRWbz4xbeFmC0pAUVbc9d4hzqWlzw49kYLFmaXhbjRbMDOp2ug00fG3gnR3UgvEvcAZiYW13il8rJCxkaePdQUEZ2Kie4Fi7uIiOieBfwBPPeZF8Nmxdc/Uo14u1mlrETjw3M4cbgtbOa3M9OOfR+vg9FsUCkzojsnSRJKt+cJsaWFFQz1TauT0CoSEi0wh5ySu8TRjERERHQL599pwZvPnxBiiWk2lGzLVyyHD8a4u5fFMe5maxz2f7Ie9pQExXIh2iiSJIV171qad6uUjciRIh5kmRyaxeKsa41XExER0Wb0/F+/Ak/I5/WtBysU7fR7K4vzbhx7oxmuRfHASFy8Efs+XsfD5hT1krMcwmP3sm+NVyovqzhNeDwzNo+eRnYEpugWOb/hiIgoar31/ZPobx0RYsX1ecgMmWutltHBWZx6px3BgNjVKDU/CXs+Ugu9UadSZkR3LyXPCVvIxmLr5aGIOX0iSRLSC8TRjBdZ3EVEREQ3Md4/ja/96U+FmEarwbZHq6HRKHMLy7W4ghOH2uDzigdXEhIt2P/J+og5vEK0HtILkxHviLzv6QSnJWxjtr91dI1XExER0WZz/p0WnH+7WYjlV2fBmeFY4x3Km5tx4b03WuB2iQVoFpsJ+z9Rj4REi0qZEa2fBKcF+rjI3F9LcMaH/ZydefOKStkQrQ8WdxER0T2ZHp3DC184JMSsznhU7S1RKSPRcN80Tr/bgWDIuLqM4hTsfKo6YkZGEt0pSZJQuiNPiC0trGCga2r1N6ggdDRj1+VBLEwvqZQNERERRTLvig//8t9+gOWQU+0195UhITFekRxWlr04fqgVnhXxtLEjzYr9n6iHKZ4n6ym2SJKEwq3ZaqcRRqPRwJYk/tz3hRwoIyIios1pZdmL5//yl0LMaDKgal9k7EcAwPTEIt5/syVsXWF1Xj0wYrGZ1ngnUXSRJAnODLvaaaxKkqSwBhRn32qCLMtrvIMo8rG4i4iI7sn3/uYVrLhC2x9XRkT748GeKZw91hn2YS2rNBXbHo+MHInuRXphMuypViHW2Rw5J9qTMhOh1V8voJRlGZffa1cxIyIiIopU3/3LX4Z1A84uTUdBjTKFJz6vHyfeboNr0SPEPxjjbjDpFcmDSGnZ5ekR2c3aliyuc0L/fiAiIqLN6edfPoypkTkhVn2gFIY4gzoJhZgaW8DxQ61hnYDtqVbs+3g94ixGlTIj2hhJWZHTMS9UZshoxomhGfS1cF1B0SvyVu5ERBQ1Lh1tw9m3moRYXlUWkjLV/zDX1zmBiyd6wuI5FenY+lA5JI2kQlZE60uSJFTtL8LxFy9eiwV9Gjyx47eQVZB0LRZnVGfUilanQWpuEka6xq/FLh5pxYGP1KuSDxEREUWmoy+ew5EXzgmxhEQL6h6qhCRt/Of2gD+IU++0Y352WYjbkuOx65kt7PZLMU2n1yK7PB09lweh0xhQm/YMdHottu7Oh6SRVFtL2JPFEfQcy0hEREQD7aN4/TvvC7HkrETklGeolJFoanwBJw63IeAPCnFnph27ntkSkQX1RPfKmWm/9r8/WE9s3VMAveHqOlqt9QQA2JITYLGZ4Jp3X4udfesK8iszVcuJ6F7wtwgREd0Vj9uL7/6F2P7YEKePiPbHvR3juHSyNyyeV52JLQ+WKrJBRKSUpCwH0gqSMNZzdRyjRtIB86moyK+FOQJOgqXlJwvFXY3vd8Dv9UNn4MdQIiIiAvpaRvDtz70kxLR6LXY9tVWRzwvBoIyzxzoxNb4oxC02E3Z/uJYbMLQp5FVnoOfyIDSSDmnxpQCADFsJMnMTVcsptHPXcPcEvB4fDEZ20SMiItqMZFnGtz/3klA4JWkk1B6siIj7/dMTizj5dnhhV2qeEzuequaBEYpZtuR46PRa+H2Ba+uJnMRiZOY51U7tV6MZ09Bx4fp+4Zk3r+CTf/hoRPy9QXSnOI+KiIjuyktfexcTQzNCrPpAKYwmddsf93ZMrFrYVVCbzcIuilmV+4qE7+1gQEbLpSEVM7ouLS9JeOxe8qDtfJ86yRAREVFEcS248S//9fvwefxCvP6hSlid8Rt+fVmWcelUD0YHZ4W40WzAno9u5cgU2jSszngkptuEWF/H+BqvVoYtpHNXMBDEUKe6OREREZF6Trx8Ge0h9xRLtxfAmrjx64ZbmZlYxIm32+APKexKL0zGzqdrWNhFMU2j0YStJUIPT6kpsyRVeDzaO8V1BUUtFncREdEdG+wcwyvffE+IJWU6kFuhbivTvs4JXDoZPoqxeFsuqu8rZmEXxayERAtyq8T24wNdk2GjhdRgio+DI1U8dX/mrSsqZUNERESRQpZlfP1TP8PEoHhgpLA2B9llyoxVab44iP7OSSGmM+iw5yO1sNhMiuRAFClC1xPjw/NwLa6olA2gN+hgsYsjXPpbR1TKhoiIiNS0vLiCH/7Da0LMbDWhbEeBShldNzO5hONvt8HvCwjxtIIkbH+iChott+Ip9jmz7MLjqfEFdRJZhSPVBlNCnBDj/gRFK/5GISKiOxLwB/Dcp19A4IbFiqSRsPVgparFU30dE7h4Irywq3RnHir2FrKwi2Je2a586PTiKbDu1jGVshFlFImnY84fboYsyyplQ0RERJHglX87hvOHW4RYYpoNNQfKFLl+b/s4Oq6IhSIarQa7PlQT1jGIaDPILEkNG4Xa3zW5xquVYQ/5WexrHVUpEyIiIlLTL77yDuYmxU5AW+4vV70j1uzUEk4cag0r7ErNd2L7E9Us7KJNw5lpFx7PzyzDG9KhWy1XRzOK+xNn32xSKRuie8PfKkREdEfe+O5xdDeK495K6vMVGZuylt6OCVxcpWNXyY48lO0qYGEXbQpxFiMK67KF2GDPFHxe9RdRmcVpwuO5iUX0tfDUPRER0WbVcqYbP3n2TSFmMOmx86laRTZA5mdcaDjTJ8QkScL2J6qQlOnY8OsTRSKdXovscvFze1/nBIJB9Q5l2JPFDsDs3EVERLT5DHdP4I3njwux1LwkpBckq5TRVbPTLhw/1ApfaGFXnhM7nqyBVscteNo8HKnWsLX8zGQEjWYM2Z8Y7BjDSI+6B1mI7gZ/sxAR0W0b7ZvCz/71kBCLd1hQvqtQpYyA3o7xVUcxlmzPQ/luFnbR5pJXnSl8zwf8QQx0T6mY0VUJDgviQ0aqXHy3VaVsiIiISE2zEwv44v/8EeSQgpEdj2+BOWHjRyH6fQGcOdoZVrBS+1AZ0gvV3SAiUlteyGjGlWUfxofn1EkGCOuiN9A6imAwqFI2REREpDRZlvHdv/wlAv7rv/8ljYQt95eret9/cc6NE4da4fOKhV0puYnY8VQ1C7to09HqtHCkiQczpsYip7jLmWFHnNkoxM5yNCNFId2tX0JERAQEA0E89+kX4AtppVr/cJVq7Y9728dx6VRvWLxkBwu7aHMyxcfBnh2HH7/7l9dib3YB//zpb8Eab1cvMQBpBcnouth/7fGlo2342H97SMWMiIiISGl+XwBf+B8/xPzUkhCv2F2E1NwkRXK4fLoXSwsrQqxwazZyKzPWeAfR5qGJC+DNrn8SYvaUP0N6dr0q+dhTxA0it8uDycFZpOY6VcmHiIiIlHXuUDOaTnYJsZL6PCQ4LCplBHhWfDj5TlvYyLnknETsfLpG9VGRRGpxZtoxOjCCd3u/AuDqvgReAp79zLeRYLGpmpskScgoTkVPw8C12Nm3mvDh339QxayI7hxLh4mI6La8+b0TaL/QJ8QKa3NVG1vS1zmxamFX6U4WdtHmllMRvjE5E7KBqob0/BThcXfjIOamIuf0DhEREW28nzz7BtrP9wmx1LwklO1UphNwf9dkWFdTe2oCKvcVKXJ9omg0MTqPZZdHlWvHWYwwmPRCrI+jGYmIiDYFj9uL7//tK0LMFG9E2Q71poj4fQGcercdrkXxs1FStoOFXbTpJWXa1U7hpjKLUoXHvc3DGB+YVikborvD4i4iIrql0b4p/PTzbwkxi82Eqn3FquQzOTqPSydXK+zKR9kuFnbR5ubMCD8F09+p/vz4pEwHdAbxBsflo20qZUNERERKO/1GI1771vtCzGyNw/bHahT5/L4w58bl0+IaQmfQYvvjVdBoeXuM6GbUWk9IkgR7sti9q5/FXURERJvCK988hqmROSFWfaAMOoM6Q6kCgSBOH+nAzIR4iNaekoBdz2yBTs/CLtrcHOk2AJG7N5eU5YAhTjw40ny6W6VsiO4O714REdFNBYNBPPeZF+Bd8Qnx+keqodMrv5BaWljBmaOdkGVZiJfuzGfHLiJg1Z+B0cE5rLh9q7xaORqtJmzc0qUjLO4iIiLaDDou9eOrf/pTIabRStj15FYYTYYNv37AH8TZox0I+INCfOtD5bDYzRt+faJo1985EbYGV4otOUHMpW1UlTyIiIhIOVMjs3jlG8eEWFKWA1klaarkEwzKOHusExMj80LcFG/EThZ2EQEA9AYdbMnxaqexJo1GEzaJaGp4VqVsiO4Oi7uIiOim3vreybDRKYW1OUjOSlQ8F5/Xj1PvtIfNsy+qz0H57gLF8yGKGrKM/q4JtbMIG83YeKIDvpCfZyIiIoot4/3T+Offez7sd/6W+8rhSAvvOLoRGs72YWHOLcTyqjORWZK6xjuI6EbLLi+mxhZUubbNKRZ3jfVNrfFKIiIiihU//IfXxcPmElB7f4UqB7tlWcaF490YHRCLQPRxOuz+cC1M8UbFcyKKVM50Zdb4d8uUECc8nh6dX+OVRJGJxV1ERLSmsf4p/OTZN4WY2WpC1d4SxXMJBmWcOdqJxXlxUyatIAmV+4oUz4co2gz3zaidAlLzxc5dKy4v2s6Hj1glIiKi2LA468Lf/z/fxuKsS4jnVWUhvyZbkRwGe6bQ1yEWuVuT4lF9nzoj5omiVX+XOqMZ4x1id73xwRkE/AFVciEiIqKN13KmB6dfbxRiBTU5Yd08lSDLMi6f7sVgj1hcrjNosefDW2FNitwuRURqSMy0h8X8vmD4C1ViiheLu2bGWdxF0YXFXUREtKpgMIjnPv1i2DjGbY9UqTLX/sq5/rC2x9akeGx7rJKjGIluw9y0C+5lr6o5xJmNSAzp0HHxSKtK2RAREdFG8np8ePYPvhfWZSc1LwlbDypz6n5pYQWXTomF5Fq9FtufqIJWx9EpRHdiuH8GPp/yRVXxdovwOOALYGpkTvE8iIiIaOP5fQF89y9/KcT0Rj0qdqtzuLv5wgB628WDIlqdBrue2QJHmlWVnIgimX2Vn4upcXU6AK/GHNK5a2aMxV0UXVjcRUREqzr0/VNhHXUKtuQgOdupeC697ePobh0TYkazHrueqVGl0IwoWo0NzamdAtIKxNGMF99thSzLKmVDREREGyEYDOLrn/pZ2Hh3W3ICdj5ZC41m429HBYNBnD3WCX9IMcqWB0uRkGhZ411EtJaAP4jhvmnFr2sw6aE3iuv+sX6OZiQiIopFb33/BAY7xH2Ayj1FMJoMiufS0z6OjqZRISZpJOx4qgZJWQ7F8yGKBnp9+CGq0KYNagrt3DU9Ose9CYoqLO4iIqIwY/1T+PE/vyHEzFYTqvcpP45xcnQel0/3CTGNVsLOp7bAbDUpng9RNBsbnFU7BaTnJwuPJwZnMNKjzogXIiIi2hg//fxbOPWaOErFFG/E3g/XQ6/Q4Yy2hmHMTYvjIHMq0pFTnq7I9YlikRqjGSVJQrxdHM04pkKRGREREW2smfEFvPjFt4WYLTlBsXHuN5ocnUdDyJ4EJGDb41VIzVP+8DtRNJsYnY+YAipTSOcuj9sH14JbpWyI7hyLu4iISBAMBvHcZ8LHMdarMI5xaWEFp490hH3wq32oHIkZtjXeRURrmRidR8Cv7ox7W3IC4ixGIXaJoxmJiIhixjs/OYOXnzsqxHQGLfZ+eFvYKdmNMjOxiLbGYSEW7zCj5oFSRa5PFKumxxextLCi+HVDRzOycxcREVHs+cHfvYoVl1eIbX2wQpGuvzdaWnCvuiex9aFyZBanrPEuIlqLx+3D/Oyy2mkACO/cBQDTo5HTWYzoVjjLioiIBG8+fwJt58LHMaYoPI7R7w/g9JEO+LziGJWS7bk8bU90lwL+ICbHFpCWZVctB0mSkF6QjN4rQ9dil4624an/5z7VciIiIqL1cflYG779uZeEmCRJ2PXUVtiSExTJwe8L4Nz7XcANezGSRkL9Y5XQrTIigiLHiteP6QU35l0r0Om0SHNYkGAyQJIktVPb1PRGHeC//ni4bxqlNZmK5sDOXURERLGt6VQXTr3WIMTyKjPhzFB2/KHX48fJw+2r7knkVmYomguJgkEZi24P5pY8mHOtYN7lwcKy52qXV5MeCSYD4uMMiDdd/WOJ00OrcGEgrW1saA72RMutX7jBNFoN4sxGrCx7rsVmxuaRW8Y9R4oOLO4iIqJruhsH8eN/ioxxjI1n+7EQUs2fXpiM8j2FiudCFEvGhmZVLe4CgLT8FKG4q+18H1wLblg4apWIiChqjfVP4Yv/40cIBsQuoVsfqkRqbpJieTSe64dr0SPEynbmw5FqVSwHujWP72oh1/SiGzO/+qcrpHs0AFji9MhITEC6Mx5pjngYWaCnuPTCZIy1Xz/NPjIwq3xxl4Odu4iIiGKV3+vHd0IOiOiNelTtU7brbjAo4+yxzrAupdyTUIcsyxibdaFnbBYzC24sLHsRXGO038xi+Fg9CUC8yYDEBNOv/sQhMcGEOIWn09BV40NzKFN4DbEWU4JY3DU9OqdeMkR3iH+DERERAGBpbhn/+t9/CL9PPJWixjjG4f4Z9HVMCDGr04L6Ryt4apvoHk2NLaidAlJynNBoNdc2f4OBIPpbR1Gxs0DlzIiIiOhu+Dx+fPF//AhuV0hR1Y4C5FdlKZbH6OBs2DoiMd2G4u25iuVAa/MHghiYmEfH8Awm529vLIdrxYfOkRl0jsxAAuC0mpCZlICSTCc3ZhSSmucUirtmp5bgXvbCZDYolkNo567JoRkE/AFodSz2IyIiinavf+c4RnomhVjV3mIYFfysAQBXzvVjYkQcz2ZNiueehMK8vgC6R2fRMTyDhWXPrd+wBhnAotuLRbcX/RPX/3+1xOnhiDchyWZCqt0Cp9XEDl8KmJ5chGfFB2OcXu1UYEowYXb8+h7JzBjHMlL04F0QIiJCMBjEV//0p5ganhXiJdvyFR/HuOzy4NLJHiGm1Wux/clqxYvMiGLRwpwbPq8fehV/nnR6LeLtZixML12LTQxOs7iLiIgoSv3gH15Db/OwEMsqTUPFnmLFclhx+3DxhLiO0Om1qH+0AhrerFfVvGsFncMz6B6dg9cfuPUb1iADmFpwY2rBjfahGRyoykGqQ/3RHrEuMcMOnUEL/w3jicYGZ5FfmqpYDvEOsbgr4A9icngWaQp2BSQiIqL1Nz06h59/5bAQc6RakV+drWgeve3j6G4dE2JGswG7ntnCPQmFzCy60T40jd6xOQSCq3foWg+uFR9cKz4MTV0t7tFqJCRZzUixW5BiNyPZZoaeBwjWnwxMjMwju0D9z++m+Djh8fQoi7soevA3EhER4eXnjuLS0TYhlpTpQKWCmzEAIAdlXHi/G16PX4jX3F+ChAiYx00UrSSNeLpsZmoJqRl2dZL5FYtNLO4aH5hRMRsiIiK6W2fevIJD3z8pxBISLah/qEqxE+6yLOPiyR54Qsb6Vd1XAktIxx9SRiAYxMDEAjqHZzA+57rt92l1GljtJiy7PPC4/Wu+bsXrx9uXerC1MA0VOUnsprCBNBoJqblODHde74o3onBxlyHOAEOcHt4bfsbH+qZY3EVERBTlvvc3r8DjFj/D1z5YGXYvcyNNjs7j8uk+IabRStj5VA3M1rjV30TrIhiU0T8xj/ah6dvu7Gs06WC1mWC1xyHBbgJkGa4lL1xLHiwveuBa8sLnvf0DJYGgjPE517U1iyQB6YnxqMhJRprDwnXGOhobmouM4q4E8ed6ZpzFXRQ9WNxFRLTJNZ3qws/+9ZAQM5oN2PHEFmi0yp5w72gawWTIyLiM4hTkVKQrmgfdm0AwCK8vAK8/AJ8/CI1GglajgVYjXf2jvfq/NZLExdEGMBpN+LVP/IEQCwwlYnHSfe3xzEQEFHfZTcLj8YFplTIhIiKiuzU+MI1v/NmLQkyr02Dnk7WKnnDv65zE2KDYhTitIAm5lVxHKEmWZcwuraB7dBa9Y3Pw+G6+qaLRSLAlmuFwmmFPuvrPBGscJI0EWZaxMLeCiZEFTIwsYGpiCcGAeIJfloGLXWOYml/G7oosGHjC/p6ttpYwGk1IK0wWirsmR+bh9wWg0yv3NY+3m4WRKWN908B9il2eiIiI1lnD++04+1aTEMuvzkZimk2xHFyLKzhztBOyLH7O3PpQORIzlMtjs3Gt+NA9OoOO4Rm4PWsf6ACABFsccouccCRZYLXHwWC89TrT6/HDtejB3Iwb8zPLmJtZxvysO2w9sRpZBkamlzAyvQRHfBwqc5ORm2qDhvsYt+XG9cT0yByG2sehla6OYhwfnoMclBUt3lyNOSG0c9ecOokQ3QUWdxERbWIz4wv40h/+GPKNbW4lYMcTW8Jak254LlNLaLk0JMRMCUbUHixjAdAGWvb4ML3gxsyiGwvLHsjy1dMpkiRd/Seu/zMoy5BlGcEP/gSvbuAEgkF4/QF4fFf/+APB27q2RiMhKcGEVEc80hwWJNvM0CpcUBiLDAYj7r/vGSF25VgHFicHrz2enlhUOq0w8Taxi8bEIDt3ERERRRO/148v/eGPsLy4IsS3PFABW1KCYnksLayg8WyfEDOa9dj6UDnXEQpZXvGhd3wO3aOzmHd5bvn65LQE5JcmIT3LtuaBIkmSYHOYYHOYUFyZioA/iKmJJXQ1j2NiVPwsOzC5gPnz3XhgSx4STIZ1+W/arFZbSwBAap7zatHdr+4dBIMyxofnkJnnVCy3eLtFKO4a7Z9S7NpERES0vrweH777F78UYoY4PSr3KjdJxLPiw8nD7WFTRIq35SK7nIdE1lsgEMTg1AK6R2YxOrOEm5VZSRKQkWNHfmkyklLj73hdZzDqYDDq4Ei6Pg0mGJSxNL+CuZllzE4tY3piCfOz7pv8W4DZpRUcbx5EY+84qvJSkJ9qh0blwqRId+N6YnlhBYfGT1x7zuvxY2ZqCc4U5e4XrCZ073NmbB6yLPP+AUUFFncREW1Sfl8AX/yfPxTGogFA5Z5ipGQrd4MWAHy+AM4d6xJPyEhA/WOVMMTpFc0llvn8AYzNujCz6L5W0OX23vxkzEYKBmVMzC9jYn4ZV/quFnsl28xIc1iQ5ohHks3MEzHrJDHdhu5L14u7ZieXVF+wWEKKu8YH2bmLiIgomvz082+hu1E8nJFdlo68ykzFcggGgzj3XhcCfvFwwdaHK2A0s8hnI3l8fgxNLaJnbA5jM0u3fL3BqENuUSLyipMQfxfjbbQ6DVIzrEhJT0Bb4xjaGkaF5+ddHrxxrgv31+QixW5Z499Cd8sQp0dSph2TN3TIGx+ZV7a4yyGuH4a7xhW7NhEREa2vX379CMb6xXuBVftLYVSoUN/vC+DUO+1YnBeLe9IKklCxt1CRHDaLmUU3ukaudvb1+m/e2TfOpEdeSRLyip0wrfN6TqORYHWYYHWYkFN49TOs1+PH9KQL0+OLmBpfwtz0MuRVqs4Wlr042TKExt4J1BWmITeVXd1uh9kaB6vTgoVp17XYUO90BBR3GYXHHrcP7qUVmBNMa7yDKHKwuIuIaJP66effQvv5PiGWlp+M0u0FiufScKYPrpAT/6U78pCU6VA8l1i05PaibXAKXSOz8N1mVy01BIMyxmddGJ91oQETiDcZUJ7tRGFGIvTs6HVPEtPFBafPF8DivBtWu3mNd2w8S8i1l2aXsbzo5iKKiIgoClx+rx2vfus9IRbvMGPrwUpFi8ebLwxidkosLMqrykBafpJiOWwWsixj3uXB0NQihqYWMDW/fNPT9h9wpsYjvyQJGTn2denSK0kSyrekIzHJjHPv98Hnvb5B5PEF8PbFXuwsy0BhuoMnr9dZSp5TKO6aHF1Q9PrWkI6AvU3Dqh9YISIiojs32juJl587KsQS022KHRIJBoM4c7QTM5PiOiLBaUH9Y8quZ2KVx+dH79gcukZmMbu0csvXJyZbUFiegowcZTtjGYw6pGfZkJ519d653xfAYM8MOlsm4FoM70i85PbivaYBbHGloDo/hd8rtyG9KAUL073XHg/2TKF6W86aHZyVsFoR6dIc9yUoOrC4i4hoE7p4pBWvfvOYEDNb47D9sWrFP5AO9U5hoGtSiCWm21C6M1/RPGKNLMuYnF9G6+AUBicWbmvjZSNotBKCQRl3k8CS24tzHaNo6JlASVYiyrKcMBnZye1umBLiYIo3wr10fVE6M7GkbnGXNXyxND4wg3wFu30QERHRnZudWMDX/vSnQkyjlbDziVroDcrdZhodnEVns9i9yWI3oeq+EsVyiHXBoIzxOReGphYwNLWIJbf3tt5nshiQXeBAbqHzrrp03Y7UTBseeLIMp97txuL89Q2joCzjVOswesbmsKMkA/b4jbn+ZpScLR6+ci2uYNnlgdliXOMd68sR0iFheXEF4wPTSMtlMScREVG0kGUZ3/7cS/D7rhfoS5KEuoNViuxLyLKMiyd6MD48J8RN8Ubs/rCy65lYI8syxmZd6ByeweDkAoKrtcC6gU6vQVaeA3klyXA41btHfSOdXov80mTkFSdhZHAOHVfGMDcTPrqxoXcCK74Atpeks8DrFnLK09B+5npxl9fjx9jwHDJyElXLSavXCiPnAWBpfhkp2erlRHS7+FuKiGiTWZhewjf+7EUhJmkk7HxyKwxxyo4ucS97celUrxDTGbSof6wSGg07Nd2NYFDGwOQ8WgamML1w85nxH9DpNbAnmmFLNEGn00KWZcgyrv0Tv/qnpJGg0fzqn5L0q8dX/+gNOhiMWhiMOugN2mtz7T84aRMMyggEgggGgggEZAQDQSwtejA1tojJsSXMzSyvWQDm9QfQ1DeJlv4pFKTbUZ6dxE2au+BIt8HdOXHt8fTkIvJKUlTLR6PVwJwQh+UbuvZNDEyzuIuIiCiCBYNBfPVPf4qFGZcQr95fBnuKVbE8lpc8OP9+lxDTaCVsf6IaOr1WsTxiUSAYxNiMC/0T8xiaWoDHd/PRKR/Q6TXIzHUgpyARztR4RTY5LAlG3Pd4Kc6914vxEbGL1PisC6+e7URZdhJq8lNg0PH74l7ZkhKgN+rg8/ivxabGFpBTmKzI9U3xRhjNBniWrxcZ9lwZYnEXERFRFDn5agOaToqf44vqcmFLVmZMW9P5AQx0TwkxfZwOuz9SC3MC7zffjWBQRv/EPJr7J2+rS1dSajxyi5zIyLFH7NpN0kjIzHUgI8eO8eEFtDWOYnZqWXhN+9A0PD4/9lRkQcu9rDVZ7GYkZtgwMzJ/LTbQNalqcZckSTDE6YV1hWv+9vbSiNTG4i4iok1ElmV8689/gfmQ0SVb7itDYpqyc8JlWcalkz3CGA0A2PJgGSw2tj+9U7Iso298Hg0941i8xYl6Z2o8HE4z7L/6E59g3PDNl6tFYFrghgVbvDUOaZlXv++8Xj+mx5cwObaEiZEF4fT9B4KyjK6RWXSNzCI/zY7tJRkwRugCMBIlptswckNxV2jrcTVY7GahuGt8YEbFbIiIiOhW3vnxmbDNmPSCFBTW5iiWQzBwdYxK6Dqi+kAJ7CnKbArFmkAgiJGZJQxMzGNwagE+/+2NctdqJSSnW5Gd70B6th1anfKbGnqDFrseLETT+SF0t4kdoWUZaB2YQt/YHOqK05CfaufJ+nsgaSQ4M+0Y67m+ITqpYHGXJElwpNow1nv9/+fepmHseapWkesTERHRvXEtuPH9v31FiJni41Cxq0iR63c0jYR1/tXqNNj9TC2sznhFcogl/kAQ3SOzaBmYxNKK76avNZn1yClyIrfQCUuCMl1f14MkSUjLsiE104re9ik0nB0Unu8bn4fXF8CBmlzoVRwzGOlyytOF4q7RoTl4Vnwwxqk3pUVvFIu7luaWb/JqosjB4i4iok3k+C8v4eyhJiGWlp+Mgi3KbcZ8YKBrEmNDc0IssyQF2WVpiucSzWRZxsjMEi51jd30ZIxOp0FusROFZSkRuYAyGHRIz7YjPdsOWZYxNb6EzuZxjA8vrPr63rE5jM+6sKciC+mJXHzfaGlpHp/76/8sxD73v7+BxHSxgHNxzg2vxw+DUb2PgxabGZOD1wu6xgenVcuFiIiIbm5uchE/efZNIWaKN6L+EWVGqHyg+eIgZkMOq2QWpyCvht0/79Tc0gpaB6fQPz4PX+D2CrrizHqkZ9mQlmVDclqCKgVdoTQaCTU7spGUloDGc0Nwu8TDLm6vHyeah9A5PIPtJRlITOBhorWstZaIj7+6lkjKcgjFXVNjq6/XNoojxSoUd/U0DSl6fSIiIrp7P/38W+GHzh8oh06BUYgD3ZNoOj8gxCRJwvYnq5GYoeyh92jn8fnRPjSNtsHpm3b51WgkZOTYkVPkREpaAiRN9B6ykCQJBWXJMBi1OH+iXxjnNzKzhMMXe/BgbR6MepZdrLae+P/+9KvQaDUI/mrNKQdlDPVOo7Bcvb1Ao0mPpdnrjxdZ3EVRgn/LEBFtElMjs/jOX7wkxAxxetQ/rOxmDAAsuzxoONsvxIxmA7Y8UKZoHtFucn4Zl7rGMD7nWvM1JosBhWVX58TrDdHR5UqSJCSnJSA5LQELc250tUxgsGcGwaA4t3HZ48PhS70oz0nC1oJUaHk6BsDVgr+lpfmwmC3ZCo1WQjBw/es4O7WE1Ey7whleF9qlb2KQnbuIiIgi1ff/9lWh4yYA1D9SDaNJudHuIwMzYaftLTYTah8qZ0em2/TB4ZDWgSmMztxeJ1e703ytoMuWaIrYr3VGjh0pGVZ0XBlDZ/N42PphYm4Zr53tQrLNjMIMB/JSbNBzXKNgrbXEB5KzHcJzrkUPlpc8MMcrc4DInipuvvY2DSMYDELDUThEREQRrbtxEId/dFqIpeUnI6MwZcOvvTC3jIsne8LiWx8uR1o+xzvfLlmW0Tk8g0vdY/DepNOvJcGIwvJkZOcnqnqoeCNk5SdCb9ThzNEeBG74GkwtuPHWhR4crM2HRcVuVJFgtfWEzqBFemEShjuuTxUZ6J5UtbjLEHIfY3Fm7T02okgSW3+rEhHRqoLBIL72qRfgXvII8bqHKhFnUbaLkyzLuHiiB/6QUx21B8tgMG3uD763a25pBZd7xjE4ufYpaYfTjKLKVGTk2KGJ4lMxVrsJdXtyUbE1Az1tk+hpm4Qv5Hvng42pfRVZcPAU/pq0Og3sKVbMjF5fXE1PLKpa3BVvMwuPxwfYuYuIiCgSNR7vwMlXLwuxnLIMpOYqtxmyvOTBhePdQkyjvXraXh9jmwYbwR8IomdsDm0DU5hf9tzy9YnJFmTk2pGRY4dFocKd9aDTaVCxNQM5hYloPDe0aifgyfllTM4v43zHKHJTbCjKcCDZZo7YorVIYk2Khz5OB9+K/1pscmwBuUXKjGZ0pFqFx26XB+P900jPV+b6REREdOeCgSC+9ee/EArGtToNah/Y+AMawUAQ597rEg67AkDl/iLkVKRv6LVjyeyiG6fbhjG14F7zNY4kM4orU5GRbY/qLl23kpphxb6Hi3HynS74vNf3KeZdHrx1oRsP1xUgQcEDUNEipzxdKO6anXJhYc4Nq12d/ZzQQ2qLsyzuoujAu19ERJvAW987iZbT4kZITnkGMouVr4zvbZ/AxIhYuZ9dno70Qt6MvZWZRTea+ibRPzG/5msSbHGo2JqB9GxbTG1OxJn0qNiagbySJFw80Y/JsUXh+bmlFbx+rhtbi9JQnu2Mqf/29eRItwnFXTOTt9etYaNY7GJx19TIHPxevyLt2ImIiOj2eD0+fOdzLwkxvVGH6gOliuUQDARx5mincPMcAKoPlMCekqBYHtHI6w+gdWAK7UM3H5sCAM6UeGT+qqDLZInuDYl4axx2P1iIsaF5NJ4bwvKSN+w1/kAQ3aOz6B6dhdVsRHGGAyVZTujYEXhNkiQhKdOB0e7roxGVLO4yxcchzmLEiut6gWLPlSEWdxEREUWwQz88hd7mYSFWvrMIlpBDnxuh5fIQ5mfEcWv5NZkors/d8GvHAl8giMaecbQOTkGWV39NaoYVxVWpSEqN3zT35BOTLTjwWAlOHu6Ce9l3Le5a8eHQhR48Us8Cr1DJuYkwmg3wLF9flw10TaJqW44q+RhCOqwtznIsI0UH7pwREcW4wY4x/Pif3hBipoQ41D5QrnguC7PLuHJOHMcYF29E9X3FiucSLWRZxtisC839kzcdm2Iy61Fem4GcgsSYPhljthiw9+EidLdOoPniiDBqJSjLuNA5iok5F/ZWZkPPTZkwielW3FjmOTO5BDkoq/Y9E3oTRw7KmByZQ3oeW6ITERFFil9+/QjG+sXumlX7ShXtANx8cRCzU+Jn4cziFOTVZCqWQ7QJBIPoHJ5BY+/ETYu6DEYt8kuSkV+aBJM5tjYgJElCerYdKelWdLaMo6dtEp4bOk7daGHZgwtdY+gYnsHOskykJ8YrnG30SMoWi7umRtc+fLQR7ClWjPVev373lSHsfWarojkQERHR7ZkZX8DPPv+WEEtIjEdxfd6GX3tqfAEdV0bEazstqDrAvYjbMTi5gHMdI3Ct+FZ9PjPXjtLqNNgSN75ILxJZ7SYceKwUJw53Ymnh+sGDZc/VAq+H6/JhNUdPB+SNptFokF2Whq6LA9diAz1TqKzPVqUokJ27KFqxuIuIKIZ5PT586Y9+DJ9XvIG97ZFq6I3KjkD0+wI4c6wTgYA4j73u4fKwKnm6Wqg0OLGApv5JzCyu3e7YYNSitDoN+aXJ0G6SYiZJklBUkYqUdCvOHe/Dwqz49RmcXMChC924vyZv08+4D5WYbhce+30BzM8uw+60qJKPIU4PrU6LgP/6huPSrAtgcRcREVFEGOmZxMvPHRViiel25FdnKZfDwAw6m0eFmMVmQu1DGz/GJRrJsoyBiQVc6h7Doju8W9UHEmxxKCxPQU5BIrS62F5HaHUalNWko6QqDWND8+jvmsb48Pyq3QcW3V4cvtSLwnQH6ovTYNTz1mmo5CyH8HjZ5YVrcQWWhDhFru9ItQnFXR0X+2/yaiIiIlLTD/7uFbhd4kjwrQcroNng+9g+rx/n3+sSYpJGwrbHKqHVaTf02tHO6w/gVOsQBibCx5sDgCXBiNqd2UjJsK76/GZijjdcLfB6uxPzN+xRLHt8ePtiDx6uK2CB1w2yK9KF4q6VZS+mxxeRlKb895LBFNq5i8VdFB14h4KIKIb95J/fxGD7mBAr2pqLlByn4rk0nOnD4pxYhJNfk4mUXOVziWQfjAZpHZi66WaMTq9BUXkKiipSoTdszgWp1WHC/U+UovXyCDqbJ4TnZhZX8Mb5LjxQkwenVZ257ZHIFG+ExWaCa/76z+LU+IJqxV0AoNFqhOKugD94k1cTERGRUmRZxrf+zy/gv6HrkyRJqDtYqVhR1fKSBxeOi+PlNVoJ25+sht7IW1qhxmdduNg1iqmFtQ+HpGRYUVSejJQM66YrjtNoJGTkXB07ubLsw0DPNPo6p+Fa9IS9tnt0FsNTi9hWko681NgaeX+vEpwWGEx6eN3XuzhMji0oVtyVlCkWl/W1DGPF5VG0myARERHdWuP7HTj1WqMQy63IRHJW4oZfu+FMH5Zd4r31ij2FsCVzpPvNzLs8ONrYj4Xl8M/HGo2EkqpUlFSnbZpD5rfDGKfD3oeLVynw8v+qg1cBbPycCgCwJcXD6rRgYfp6IdVg75QqxV3s3EXRin/7EhHFqKaTXXjju8eFmC0pAVX7ShTPZaB7Cv1dk0LMlhzPFsg38Pj8aOwdx89PtOFs+8iahV3GOB0qtmbg0Y9Wobw2Y9MWdn1Aq9Wgqj4Lew4WhX0t3B4/3rrQjYEJZceERDpnpl14PDW2+ikspWi04kaZ37/22CAiIiJSzvFfXkLLabGwqqguV7ENkWAwiLPHOuHzip8Nqg6UwJ7CTZkbLS57cKShH4cu9qxZ2JWebcPBp8ux96EipGayWCnOrEdJVRoe/nAF9j9agsTk8MMOKz4/jjcP4khDP9ye1cfRbEaSJCEppHuXkmuKxHSbMFY+4A+i8/LATd5BRERESvN6fPjOX7wkxAxxelTvL93waw/3TWOge0qIOTPtKKrL2fBrR7PByQW8ca5r1cKu5LQEPPh0OcprM1jYtQpjnA77HimGPVE8ZO72+vH2xR7Mu1ZUyizyZJamCY+H+2YQDCp/2NsQVty1rHgORHeDfwMTEcUg95IHz/3Zi0JMo9Vgx+M1ircdXnZ5cPl0rxDT6bXY/kQ1WyADWHJ7ca59BP9+vA0NPRPw+FYvbLHEG1C7MxuPfrQKpdVpMLBTgSA104r7nyiFJUE8BRMIyjh2ZQBX+iYgrzZ3ZRMK24gZX1T1a6PRiB9H/Wv8DBAREZFyXAtu/ODvXxNi5oQ4VOwuUiyHpvMDmJlcEmIZxSnIr8lULIdIFwgG0dg7jlfOdGJoavXiGkeSGfsfLcGuBwphdbCjbShJkpCUGo8Dj5Vgy45s6PTht0qHpxfxyplOjM4srfJv2JxC1xSTowuKrSl0eh0cKeLp/rbzvWu8moiIiNTw8jeOYqx/WohV7SuB0WxY4x3rw73sxaVTIXsRBi3qH60QisPpumBQRkPPOI429sMXEIts9AYt6vfmYu/DRUiwKdOlNVoZjFc7eNmdZiHu9vpx6GIv5pZY4AUAWaWpwmOvx4+JEeUP5xtDxjJ6V3zw3GSSDlGk4M4wEVEM+vE/v4Gp4VkhVr2/FNYkZU+4y7KMi8d7woo1ag+WId5hXuNdm4NrxYuGngn0jM3iZvfAbYkmlFSmIiPXAQ0XoDcVb43D/U+U4syxHkyNiRsvl7vHsbDswa6yTGg1m7u2PbRzl9fjx+KcG1aVfibDOnexuIuIiEh1L/zrISxMi5+ntjxQAZ1emdtIQ73T6GoRx8ubbSZsfah803ec+sDozBLOtg9jYXn1G9CWBCMq6zKQkWPn1+w2SJKEgrJkpGfb0HB2EKOD4gaDxxfAkYY+HKzNR6pDvZHmkSI5Wyzuci974XZ5YY5XZuSMM9OBmbHr/x91sXMXERFRxBjunsDLXz8qxBLT7cirytrQ68pBGeff74LX4xfiWx4ohdnKQw6rWVj24GTLECbnw7sW2Rwm7HygABaFPt/FgqsFXkU4+XYXZqevf01XvH4cvtyLJ3cUw2TY3KUZFpsJjjQrZm/o/DvUO420kMMjG80QF15oujjrChvXSBRpNvfuJhFRDGo50423f3hKiCVnJaKwVvm2wz3t45gYFW+KZ5WlIassbY13xD6Pz48LnaN46VQHukfXLuxKSU/A3oeL8MCTZcjKT2Rh120yGHXYe7AIuUXOsOd6RufwbkM/Aiq0+Y0kFpsJpgTxpNXkuHqjGTUhrbwDLO4iIiJSVX/bKA6FrCfSC1KQUZiiyPUX5ty4cEIcB6nRStjxRBX07F4Lt8eH95sGcPhS76qFXQajDjXbs/DQM+XIzHWwsOsOmSwG7Ly/ADvuy4fRJH6/BYIyjjb2YZan7hHvMMMQJ552nxpfVOz6znS78Li7cYidmomIiCJAMBDEN/7sRfi8NxRYScDWgxUb/rm0vWkEk6PiPc7M4pRNvRexFlmW0Tk8g9fOdq1a2JWV78CBx0tZ2HUXDIarHbwcSSEdvDx+nGgeRJCfWcO6d00qOOL9A3qjLqyb36yKeyREt4vFXUREMWRl2YvnPiOOY9TqtKh7uErxm/pLCytoOi+eno2LN6Lm/hJF84gU/kAQTX0T+MXJdrQMTCEYDP8QL0lAdr4DDzxVhr0PFyMl3crNmLug0WqwdXcOqurDR/aMzSzhTNvIpr/xH9q9a0qFBdQHQhdR7NxFRESkrh/9w2uQb/isqtFqsOX+MkWu7fMFcOZIOwJ+sRi/5v5S2FOta7xrcwjKMtoHp/HL0x3oG19lbIUEFJYn45GPVKKwPCWsgJ5unyRJyMx14ODTFUjLEr/vvP4g3rnci6VNPrJDkiQkZtiE2PSEcmsKR5pdeOxacIeNfiIiIiLlHfrBKXRc7BdiRVtzYU/e2M/yi/NutF0eEmKmeCO2HCzj/fUQbq8fRxv7cbptGP6QMYyQgKr6TGzblwedjuuJu6U3aLH3oWI4ksSOv6MzS2jqm1Apq8iRnJ0oPHa7vHCv0ZF6o0iSBHPIAfipkTlFcyC6G/ybmYgohvz0829iYnBGiFXuLUa8Xdlxa3JQxvnjXWGbMnUPl4ed7o11weDVUzAvnWrHpe5x+PzhXaO0Og0Ky1PwyEcqsW1/PuyJm3tk5XqQJAnFlanY9UABtCEL0e7RWTT1TaqUWWRICmlzPDW2oFrBmyZkTCaLu4iIiNTTcqYbjcc7hVjp9gJYbBv/+VSWZVw80Y3FebErUk5FOnKrMjb8+pFs0e3FoQs9ONsxsup6wpFkxgNPlKFmezb0Bq0KGcYmY5wOO+8vRFqWWMTk9vjxzuU+rHj9a7xzcwg9MDKtYOcuU7wRcRaxk0R3w6Bi1yciIqJw4wPT+Mmzbwgxi82Myj0be9hblmVcPt0rHqaWgPrHKzfdXsStDE0t4NXTnRiaCv/cZkkw4sBjJSiuTGVB3DrQG7TY/UAB4kzi92BDzwRGZ5ZUyioyJDgt0IWsW2cmlf+ahI5rnRyeVTwHojvF4i4iohjRfqEPb33vpBBzZthRtDVX8Vw6m0cxMyF+GMuvyURKbviovFi25PbirQvdON02DLcn/Ma/JAEFpVdP19dsz4KZbY7XXXq2HfsfKQ4r8LrcM47esTl1kooAydlicZdnxY+FObcquWi0oZ27NvcmGRERkVpkWcZPnn1TiMVZjCjZlq/I9btbxjDcJx5UsSXHY8uDpZt2c0GWZXSPzuK1M52rjkvRG7So3ZWN+x4vhd3JAyIbQaORsP1APhKTxVP3C8seHGnogy+028Em4sywC48X5tzwrrLu3QiSJMGRJhbddTeyuIuIiEgtsizj3/73v8Pj9gnx+ocrodNv7OGDod7psHGMRXU5SMp0rPGOzccXCOJ02zCONPRjZZV7r3klSXjwqTI4k+NVyC52GU16bD+Qj9Dl7PHmQbg9vtXftAms9ll+ZlK5gyIfMCeIxV3s3EXRgMVdREQxwLviw3OfeUHovKPRalD/SLXiGyHzs8touSTeVDXbTKjcV6RoHmobmlrAa2e7MLWwesFMVp4DD324Elt2Zoed3qD15UiyYPv+vLD4yZYhTMy5lE8oApitcTCFth1WaTRjaOeu0I5/REREpIyL77ai85I4Vr1sZ+GGb8YAVzv+XAkZ6a436rDjqRpodZuzE5XH58f7TYM42TK0agFRdkEiHv5QBfJLkjdt8ZtSdDoNdj9YiARbyOfnBTfeu9IvdonYROwpCWHjP6cnlNuUSQzZEOpqGFjjlURERLTR3v3ZWTSf6hZi+TXZSM7e2MPeXo8fjWfFMZCmBCPKdipzQCUaTC0s47Uznegcngl7zhinw+4HC7F1V44i677NKCk1HuW1YifqFa8f7zcPIqjSJI1IkJgujmpVp3NXyPqOnbsoCujUToCIiO7dC/96CKO9U0Ksck8xEhyWNd6xMYKBIM6/3xV2c7v+kQroDJvjV04wKKOhZxxN/auP/UtJT0BlXSZP1issPduOmu1ZaDw3dC0WlGUcbezHY9sKYTXHTtc0gyEOTz7+H8NiN5IkCcnZDgy0jF6LTYzOo7A8TZEchVxCi7s4lpGIiEhxwWAQP/2Xt4SYxWZCflXWhl/b6/Hj7HudYSOi6x+thMVmWuNdsW10ZgknWwaxvEoXJEu8AVv35CI5LUGFzDYvg1GHvQ8V4dgb7XAvXz9lPzK9hFOtQ9hTkRUTRXa3s5b4gEargSPNiunhuWux6fFFpGcr0yXDkSoWd/W1jMDv9W+aew9ERESRYnp0Dj/8u9eEmCkhDtX7Sjf82i2XBuFZETsgVd9Xys8DAHz+AJr6JtE8MInVaojSsmyo250DIw+eb7iSqlRMTyxhfPj64erxWRcaeyZQW5iqYmbr73bXE6Gdu+amXAgGg2EHwTdS6FhGdu6iaMDfbkREUa7zUj9e+877QiwxzYbiujzFc2ltGMb8jDgupKg+B85Mu+K5qGHZ48PxpkGMr9INypJgRO3ObKRkWFd5JymhsDwFS4se9LRdL7zz+AJ493IfHt9eCKM+Nj4WGY1xePrJ37jl65KyxOKuqbEFyLKs+KZU+FhGFncREREp7eQrDRhsHxNiFbuLw7ryrDdZlnHpVA/cLq8QL9mRh7SCpA29diQKBIO43D2OloGpVZ/PLXKiensW9DxVrwqTxYA9DxXhvTc74PNe/8zaMzaHOIMO9cXpKma3Pm53LfEBZ4ZdLO5SsHNXaHGX3xdAf/sYCqs3viiViIiIrpJlGd/87C/gdnmEeN1DldAbN/Ze68zUEnraxoVYan4S0gs33zriRh+Mdr/cPQ63N/ywiFanQfW2LOQVO2PicEI0kCQJ9XvzcOTVVuGgyJW+CaTYzchwxs7BndtdT4R24Q0EgpifWYYjSbnRoGFjGYdnVdkfIboTHMtIRBTFvB4fnvvMi5CDN45jlK6OY9Qo+wFkZmoJHVeGhViC04Ly3QWK5qGWsZklvHa2a9XCroxcOx54soyFXRGgZlsW0rLE/x8W3V4cbRxAILi5xgEmhZyo93kDYcWZSggfy8jiLiIiIiX5vX688IVDQszqjEd26cYXqvR3TWK4TxwP4sy0o3zX5lhD3Mi14sOb57tXLezSG7TYcV8+6vbksrBLZVa7CbsPFkIbckChZWAK/ePzKmWlnsQMcVNmdmoJwVXGiG4EQ5we8SHdyrsbBxW5NhEREV114uXLuHysTYjlVmQgLS95Q68rB2VcPtUrxLQ6DWruL9nUhRnjsy68fq4Lp1qHVy3sciSZ8eBTZcgvSdrUXyc1GON02H4gH6Ff9uPNg1j2+FZ/UwwzmPSId4jTbZQezRjaucvt8sA171Y0B6I7xeKuG/z1X/81SktLhT+f/vSn1U6LiGhNv/z6EQx3Twix8l1FsDqVq24Hro5xuXSiR2jvK2kk1D9aCa0utjcfZFlGc/8kDl/qxUrIgknSSKjZnoUdB/KhN8T21yFaSBoJ2/fnw5YofnCfmHPhTNuISlmpw5wQB4td/DpMjiq/IaUJKUT1s7iLiIhIUUdeOIeJQbHAqnJvyYYfFlmcd6PhTJ8Q0xt1qH+sUvGDKmqbWXTjjfNdmFlcCXsuOT0BB58pR2auMqPu6NacyfHYcV9B2MbMmfbhsDVhrEtMF4u7gkEZc9PhB5427PohJ/67G1jcRUREpJSF6SU8/zcvC7E4sxE195Vt+LV72sfDPnOU7szftGPdF91evHdlAIcu9qy6ppAkoKwmDQceK0W8dfWR27TxnCnxqKzLFGIeXwDHmwchrzY7M8Y50sRD+IoXdyWE/yxMDs8qmgPRnWJx169cvnwZP/zhD9VOg4jotg12juGXzx0VYvYUK0q25SueS+vlYczPih1/Snfmw54SO+1kVyPLMi52jeFi1xhCP3qbzHoceLQEheUpPAUTYXR6LXY/WIg4s16Id4/OYnphc53MSMoSNwknxxYUzyF03FOAYxmJiIgU43F78fOvviPEEtPtSC/Y2JP2wUAQ597rQsAvdvjZ+nD5qjdYY9nQ1ALeutADt0csCtJoJFRvy8Leh4pgMhtUyo7WkpZlQ+2uHCHm8QVwtn1zHRgxxOmR4BS7Zyk6mjG0uIudu4iIiBTzvb95BUshewK1BytgiNvYz67uZS+aL4q/8xMSLSiqy1njHbHL5w/gUtcYXj7dgf6J1Q/tpmZacfCZCpTXZoQdsiXlFVWkIC1L/Aw7PuvC4KTy9+XVFnpQY2ZSuXUEcHVfwhRvFGJTI3OK5kB0p1jcBcDn8+Gzn/0sgptsHBMRRa9gIIhvfOZFoQhC0kiof6QqbMTZRpseX0R7yDhGa1I8SrblKpqH0oKyjNNtw6uOTUnNtOKBp8qRmGxZ5Z0UCUxmA/Y8WAidTvx5aRmYVCkjdSSHFHdNTywqf0oo5J7CJjykREREpJq3vn8ScyGFGFV7izf8cELzpcGwk/Z5VRnIKErZ0OtGmrbBKRxt6Ic/ZIxdvNWI+58sRVEFD4pEstwiJ9KzxQ2J/on5NTfWYlVo9y4li7tCN4RGeiaxvLi5DuwQERGp4eKRVpx45bIQyyxKRWZR6oZf+8q5fvhDDoduebA07ABpLJNlGd2js/jlqQ409U8iGAy/oZpgi8Oeg4XYc7AICbbNdYAmkkmShPq9uTCFHDy/2DWGwCarU3CErCNcix54VpQdUWlOELv9TbFzF0W4zfOb7ia+8Y1voKOjAwCQnLyxp1OJiNbDoR+cQlfIuIGS+jzYk61rvGNj+Lx+nHu/CwgZx1j3SHlML6YCwSCONw2iayT8g17F1gzsfrAQxjidCpnRnbAlmlFSJd5w6J+Yx6Lbq1JGynNm2oXHPm8ACyEn7jZcyL0HbmASEREpw7XgxsvfOCrEUnKdSM52buh1x0fm0Nk0KsTiHWZU3VeyodeNJEFZxrn2EZzrGA3rAJyUGo/7Hi+FzWFWJTe6fZIkoXZXDvQGrRA/07a5xjM6M+zC4+mJJcUOjNiSrMIYV1mW0dM0fJN3EBER0b1yL3nw7f/zCyGmN+pQ+2DFhl97fGQOQ73TQiy7PD1sOkEsm5hz4Y3z3TjZMgT3Kp859QYtanZk4cGny5GaaVvl30BqMxh1qKoXxzMuur3oHJ5RKSN1WJMs0IYcvld8NKM1pLhrlT0/okiy6Xeee3p68PWvfx0AYDKZ8Ed/9Ef4zGc+o3JWRERrmxyexU8+/6YQi7ebUb6rSPFcGs/2Y3nJI8TKdxXAnqJskZmS/IEgjl3px8i0+CFTkoC6vbnIKdjYzTBaX/mlyWhvGr82EkiWgdaBKewozVA5s7vnci3in//lj4XYn/zhs7BYwsekmhLiYLbGYXlh5VpsanwRtkTlus6FbvywPTgREZEyXv3me3DNix1uqvZsbIGVZ8WH8+93CzGNVsK2x6ug02vXeFds8foDON40iOHp8O5G2QWJ2Lo7B9oYPigTa+JMemzZkY3zx/uuxTy+ABp7x7GjNHPtN0aoO1lLfCAxQ9w09Kz4sLzkgUWBEatanQb2ZCtmx693S+tpHELVbuXvjxAREW0WP3n2DUyPip1Kaw6UIc5iXOMd6yMYCKLhdJ8Q0xt1qNq/OX7vu1a8uNg1hr7x1bvEShJQUJqMsi3pMBg3/fZ/xMvMc6CrdQKzU9cPWjf2TqAgzQFDFK+N72Q9odFoYE+1Ynp47lpsZnIR6dnKFWuareKaZeqGXIgi0ab+212WZXz2s5+F13u1Q8cf/MEfIDMz+m68ENHmIcsyvvXnP4dnWewsVPdwFbQ6ZT/wDffPoL9LHGHnzLChOIbHMXr9ARy53IeJebGzkUYjYfuBfGTk2NVJjO6awahDXnESulsnrsW6RmawpSAFRn10fkwKBgMYHRsIi63FmWnH8sLYtcfT44soLE/bsPxChR3qZ20XERHRhpubWsQbzx8XYplFqXCkbdzJblmWceF4NzxuccxCxd4i2FPWLhyJJcseH9653Ie5pZWw58q3pKO0Jo1dTKNQVr4DQ32zGBu6vtHWMTyDsuwkWM0bu8m53u50LQEAFpsJBpMe3ht+tudmlhUp7gIAW3KCUNw1NTqnyHWJiIg2o/YLfXj7h6eFWHK2E7mVG7+32t02jqUF8XN05b4iGM2GDb+22rpGZnC2fQSBVcYvAkBqhhVV2zJhtZtWfZ4ijyRJqKrPwvtvdVyLeXwBNPVPoq5IuXvz6+1O1xOJ6baQ4i6FO3eFjGWcZOcuinCb+ijgT37yE5w/fx4AUFJSgt/5nd9ROSMiops78fJlNLzXIcTyq7OQnJWoaB7uZS8unewRYjqDFnWPVgojEWKJ2+vH2xd7wgq7tDoNdh8sZGFXFCsqT8GNe2iBoIz2oem13xBjQseoTE0sKDZG5SrxWrH6dwgREVEkeemr74oHRiSgYk/xhl6zp20cY0NzQiwl14nCrdkbet1Isezx4dCFnrDCLo1GQv2+XJRtSWdhV5SSJAlbdmYLHWhlGbjUPXaTd8UOSZJgdcYLMSVHvYd2CZmbWFDs2kRERJvJyrIXX//Uz4T7hlqdBnUPVW7451j3shetl4eEmCPVityq6J2+cDuCwavj3E+1Dq9a2BVvNWL3g4XY81ARC7uiUFJqfNi+UuvgFFwrvtXfEIMS08UDZrOTyo14B1YZy8jOXRThNm1x1/j4OJ599lkAV29C/MVf/AX0er3KWRERrW1hegnP/83LQizOYkT1/lJF85BlGRdPdMPrEee519xfCostNhcQK78q7JpZFDdi9AYt9j1cjJT02B1DuRmY4w3IyhcLJNsGp+EPBFXKSFnOTLvweGXZFzZudSOFrtUktu4iIiLaUNOjc3jnJ2eEWF5FZlhxxnpyLa6g6bx4etdo1qPukfJNUdD0QWHXolvswGwwarH34WKOdo8BZosBheXJQmxgYgGT88oVOanJmiSOdV+YU7G4azJ85CkRERHdux/+w2sY6xcPxFbsKUa83bzh175yrh9+n9j9p/r+kpheS3h8frzT0Ie2VQ4h6/VaVG/LxMGny5GWtXHdl2njVdZlCAfPg0EZV/om1n5DjAnt4u33B8O6fW+k0OKuxVkXPCHrdqJIsmmLu/7qr/4Ki4tXF/uf/OQnUVdXp3JGREQ3972/fRVLIadfax+sgN6obGFqT9s4xofFue4ZRcnIVnCMm5K8vgDeudyLeZdY7GI06bD/0RIkJlvWeCdFk+LKFOGxxxdA9+jmaMEb7zDDYBL/HpkaV3BDRGbnLiIiIiX94qvvChsjGq2E8l1FG3Y9WZZx6WQvAiGF83WPVIYVZcSitQq7LAlG3PdEGZJSN66ojpRVUpUGvUErxC52jSncFVcdkdS5a5bFXUREROvu8nvtOPwjcRxjYroNRVtzN/zaEyPzGOoVC5xyKtLDOv7EkrmlFbxxrhtjM+Ej6nKLnHj4IxUoqkiFRrtpt/ljRrw1DnklSUKsa2QGC8vKHb5WU5zFGFak6V5WrrjKtMoo+enR+VVeEJVsQgABAABJREFUSRQZNuXf+ocOHcLbb78NAHA6nfjjP/5jlTMiIrq5y8facOLlS0IsszgVmUWpiuaxOOfGlfP9QizOYkDtwdg8ce/zB/BuQ19Yxy6zxYADj5bA5ojNTmWbkc1hRmqG2IGtZWAKwU2wESNJUthoxmkFi7tCv8IaFncRERFtmInBGRx98ZwQy6/ODjutup76uyYxEXJzNK86E6l5sd+taq3CrnirEfsfLUZ8QuwXt20mBqMOpdXioaeJOReGp2O/2MiaJBZ3LS2sIOBXphNyaHHX/OTipiioIyIiUsryohvf+LMXhZhWp8W2R2ug0WzsNnMgEMTl071CTG/UoXLfxh1OUdvQ1ALePN8dtobQaCTU781F3Z5cGOM4iSqWlFWnQ6sVR7w39m6O7l2SRkKcxSDElCzu0ht0YQ00pkY2x6F/ik6brrhrcXERf/mXf3nt8ac//WnYbLFb3U1E0W/F5cG3/vwXQkxv1KH2gQpF85BlGRdOdiMYEG+S1j1SEdb1Jxb4A0EcaewPG6Nhshiw/9ESxFvDK/opuhVXicWSS24vBicWVMpGWaGjGafGFfzvDpvLyOIuIiKijfLzr7wjFFxotBqUbi/YsOu5l724ck48HGKKN8b0ZswHblbYte+RYpjMhjXeSdGsoCwZppDNiYtdYwgGY7vYKMEpdrSWZWBx3q3IteNCfpZ8Xj9cC8pcm4iIaDN44V/fxmzIvcLqA6VIcGz8RIvO5lEsLYgHryv2FsIYg5+lZVlGU98kjjT0wxfS9fiDKSI5hbF/QGYzijPrUVAmThbpHZvD7NLKGu+ILXHx4mENJYu7AMAcstc3PTqn6PWJ7sSmK+76x3/8R0xOTgIA9uzZg2eeeUbljIiIbu6Vbx7D1MicEKs5UKb4CJOe9nHMTIhtgAtqs5CSG3sLikAwiPeuDGB81iXE40x67Hu4COb42Fs8EpCUGg+70yzEmgcmN8Wp79DirqWFFawoNNs+9MurYXEXERHRhhjtm8L7L10UYoVbcmCK37hDCw1n+uDzBoTYloNl0Bt1G3bNSMDCrs1Lq9WgYmu6EJt3edAzFtunv/UGXdimyLxCoxlXuzcyNxH73dKIiIiU0Ns8jLd+cFKIpeQ6UVCTveHXdi2uoL1hWIg5Uq3Iq8rc8GsrTZZlnO8cxaXusbDn7E4zHniyDInJG19MR+oprkyFTi+WbVzuHlcpG2WZQou7XAoXd4WMZgzdjyWKJJuquOvcuXN44YUXAABGoxGf+9zn1E2IiOgWZsYX8Nq33hNiydmJyK1UdgGz7PKg+cKgELPYTKjYG3sn7oNBGcebBsNGZxiMOux9uIgdu2KYJEkorhS7d00vuDE+51rjHbHDlhwPnV4rxKZV2hCROJaRiIhoQ/z8y4cRvOEEuFanRcn2/A273nD/DEb6Z4RYVmkq0vKTNuyakYCFXZSdnwibQxx12jowFfOHRkJHMy7MKVPcpdVpw0apzE2yuIuIiOheBYNBfPv//ALyDR1INVoNtj5YCUmBw5mNZ/sRCOlgteXB0pi8d9jYO4G2wemweFa+AwceLeEaYhMwxulQXCHuTQxNLYRNlolFcSEHzlYU7txlShDXbtMs7qIItmmKu7xeLz772c9eu5Hye7/3e8jNzVU5KyKim3vxC4fgubF7jgTUPlChyOLpA7Iso+F0H/w+8cR97cGysGKQaCfLMk61DmFgUmwzrddrsfehIljtpjXeSbEiI8cOS0hntub+SZWyUY5Go4EjXRxTPa3QaMbQTS427iIiIlp/w13jOPHyZSFWWJuDOPPGdAP2evy4fLpXiBni9Ki+r2RDrhcpPL4ADl/qZWHXJidJEiq2ZgixOZcHEwoVO6klrLhLoc5dQHj3LhZ3ERER3bsjL5xDV4N44LtsZyHi7eY13rF+RgZmMDoodj7N35IFe6p1w6+ttJaBSTT2ToTFK+sysG1fHrS6TbOVv+kVVqTAENLl+vIq3dxiTVjnLqXHMoZ27uJYRopgm+Y3wle+8hX09l69sZifn4//9J/+k8oZERHd3ED7KI6+eF6I5VdlweqMX+MdG2OkP3whlVORjuScREXz2GiyLONM2wh6xuaEuFanwe6HCsPG9VFs0mgkFIWckBmZXsLsoluljJQTOppxalyZDZGw4q4YPH1HRESkthe/dFj4navTa1GybeO6dl053y8eUgFQfX8JjDFc3BQIBHG0sR/zLo8QZ2HX5pSaaYUlQdykaB8K78YQS0LvVczPKreGirOIP19zk8ocVCEiIopV/3/2/jPIkvS8Dz3/ebw35U75U962t+NnMAAIEJdckdyV7tUafdiNuBEbcT/sxkbwk7gKxcalGEteSdRKoCQKIgiAJPyAg/GDmekx3TM97V11dVeX93W8t5m5HxozXe+bVT3dXZnnZJ56fhEIxHm6Tr/ZNWXyzfcx6VgW//DnbzIxT8CFkePa7SG+UK2KuH5+gYnZXVaMPz2g+dq1NrMax6UZZfLOief6MHKgvaZF/qT+rFYzRg6yZxMbiRw2Etk6XVFt1H0so486dxHj2BfJXXfu3MH3vve9L1//63/9r2Gz0UM1Qoi+/f3/9w3mAMZsNWPi6eGaXkOpWMHVHTZSB56v7XVoTfptYtfMGjs2xmQW8PTLg2hurW1CHamv3qFmRYXM1FK0TldTO82dAeZ1Mp5DhevYpwluOg09tCCEEELUtXRnHZ+9cZ2JDR3rg92pzXORrbUUFmfYzqehvmZ0j4Z2eYfxSbKMT6aWscWN83Z7KbFrvxIEAQOjrUxsKZJCvlTZ5R3G52txM6+L+TLKpWpN1uY7dyWocxchhBCyJ//wF28il2ITtY+8PFGTLlLT11aR55I7Jp8fhs1h3eUdxrSwmcRn06uK+JGnetEz0FiF9eTRDYy0wuFiv9avzW429Ih3xw6du2r57+U7d8XWU5AkaZePJqS+Gj65S5Ik/Mt/+S9Rqdx/ePKHf/iHOH36dJ2vihBCHm7q/CyufXSXiY2e6Fc8sNSSLMu4fHZOWXH/4ghszsbZSEmSjLO3lhWJXYJJwFMvDaC13VunKyP1YrGYMDDGHsTMbyaRLdS2YqTWmjp8bNcsGUhGta8KauB9KSGEEKILP//Ld5nXVrsFw8f6NFmrWhVx5dM5JmaxmnH45bGGTeCWZRkX765jaYvtFORwWvHcN4cosWsf6x1qYg5AZfl+d4ZG5Qm4FF14azWaUTGWcYuSuwghhJAndefSgmKiSPdIO0LhFs3XTifymLm5zsSauwLoGWvXfO1aWo2m8cmtZUV88lgX+ke0/zwT/TJbTBg9yH69b6XyWI83bvcuJ5dcJVYlVGtRdP7l+mznrkq5inQ8t8tHE1JfDZ/c9cMf/hDXr9+vUA0EAvjjP/7jOl8RIYQ8nCzL+PFfvMXEHG47ho/31fQ6Zm9vKMYxhvqa0TXSOBX3VVHCmRuLWNhMMXFBAE690I9Ql79OV0bqbWC0VXEQ0+jdu8wWM3zNbLV9JlXUfF2Lzcy8LnKjjAghhBDy5OZvreLCu7eY2PCxPs2q3m9fWUEuw/4un3huCC6fY5d3GN+N+S3FuD2L1YSnvz4Il6d2xTlEf2w2C3r6g0xsZjUOSWrM6gaT2QRvE7ufSCXrlNxFYxkJIYSQJyJWRXzvX73CxCw2Mw69OKb52rIs48qn80zHHsEk4PDLow1VKLKZyOHDG0uKgteRgyGMHGicsxfy5PqGmuHixo5fnWvc7l38iHWgtqMZnW674mcMjWYketXQyV3FYhH//t//+y9f//Ef/zGamqiVJSFE3y6/fxszV5eY2PjpQVisll3eob5ELIebF9lrsDmtOPrN8YbZSFWqIt6/uoDVKFvRazIJOPXiADp7A/W5MKILdocFfcPNTOzeWhzFcm3GitSLJ+BiXmcz2id38YfLWa7lOyGEEEKe3D/8+ZvMa5vDiqGjfZqslU7mcW+Kq7Lv9KP/UJcm6+nB9blNXJvfYmKCScDplwYQaHLt8i6yn/CjGQvlKtYTjVt172vxMK8zydrc2/PJXakadCAmhBBCGtHbPzyH5TsbTGzi6WE4PdoXayzMRBDjum8OH++Fr9mzyzuMJ54p4INrCxC5ZP+B0VZMHOms01URvTGZTRg9xHbviqULWIk2Zndas8WsmBZUyNcuuUswCXB62f1ElJK7iE7VLlOgDsrlMvL5BxVif/Inf4I/+ZM/eeh7+KzXX/3qV3j11Ve/fP0Hf/AH+NM//VN1L5QQQn5LkiT85N+9zcTcfif6DnTX7BoqFRGfn5lRVBMf/9ZkTcdCaqlUqeK9qwuIpdkHzWaLCU+9NIC2Tl+drozoydB4CHPTkS+rqERJxp2VGA4P6LuCymq14cXnf08RexTuIJfcVYNEK2VyV22q+wkhhJBGd/2Tu7hxdoaJjRzvh9WuzaOgGxcWmepzk1nAkW80TnEIb6fELgA4/kwYbR20nyD3+ZtcCLa4kIg+uMdd3kqjq9lbx6va3V72EgDg4g5FysXaFMdY7dxhEHUDJoQQQh5bfCOFn/3lO0zM3+LF4JFezdcuFiq4eXGRibn8Toyc6td87VrJFct4/+oCKqLExHsGmnDoVHfD7pvIk+kdbMbdm5tMZ+xrc5vobvHq+mvlSfcTTo8d5ULly9e1TO4CAJfXiXz6QaF7bD1Z0/UJeVQNndzFE8XHn88qyzLzPkmSHvLRhBCyN+d+fW3HyhiTuXaNFq9/voAc161n6HgvQn3Nu7zDWPKlCt67Mo8k97DXajXj6a8PormtcSqByN64PDZ09zdheS7+ZWx6OYaJ3hZYLeaHvLO+HA4X/vn/+L880XsVnbvSNejcxR3E5GpU3U8IIYQ0MkmSFF27HG47Bo+GNVlvYyWBzVV21PnQ8bBiRFujuDG/tWNi1+FTPegZoI7xhNXZG2CTu6JpnJI7YdLhocxe9hIAYOUKN8ql2iR3Wazs/qxU48MgQgghpBH88N+8hiI3Cu3o1ydgMml/NnHjwiIqZfYM9/DXRhW/442qXLk/RaTATYXo6PHj2DNhXSfrkPowmQSMHW7HpU8eJD0mskUsbaURDvnreGUP96T7CYfHjlTkQffdWid3Ob1sd0Lq3EX0qqHHMhJCiJFUK6KiMsbX4kHPWEfNrmFtMY7FmQgTC4Z8mHhmsGbXoKViuYp3LysTu2wOC5771jAldhGFkQNsl65yVcS9tUSdrkZ7Hq5zVy5TUnTxUxt/AESduwghhJC9+/iVy1iYWmNiE88Ma3I4IkkSblxgR7o73DaMnNAmkazeZtcTuDq3qYgfPt2DgbHWHd5B9rvO3gDzuliuItqg97x8V95yjcba8z/bigVK7iKEEEIex+z1ZXz2xnUm1negG82dQc3XXl9OYHkuysS6RkINU2wuShLOXF9UnEm0hDw4+UI/TCZK7CI76+lrgtfPJh1NL0d3+Whj40e/FnK179y1XYySu4hONXTnLp/Phzt37jzWe86fP49/8S/+xZev//AP/xB/9md/pvalEUKIwgc/u4Ct5TgTm3xmpGZVG8VCGZfPzTExi82ME985UNPOYVqpVO9Xx6Tz7CbK6bLi2W8OK26SCQEAX8CJ9m4/NlYedKKYWopipLsJ5hpUrdUan9wlyzLy2RI8Pu2+PxRjGZONedBFCCGE1EoxV8KP/+1bTMzb5EF4olOT9ebvbCHDjXIef2YQFlvjPXLaTOTw2e1VRfzw6R4MjFJiF9mZx+eAN+BAJvmgK+5yJI22QON1tlMkdxUru3ykuvjkLrEiolquNuTPIUIIIUQLP/33bNG5zWHFgedGNF+3XKrucCZhwcEXhzVfuxZkWca5qRVsJnNM3Ot34PRLAzA3wLkL0Y5gEjB2qB0XPl74MraVyiOTL8Hrsu/+RgNyuNnRjaVCbfYRu62fTuR2+UhC6ot+axBCiA6UixX88j/9hok1dfjRMVCbAwJZlnH57JxiZMLBF0fg9jt3eZdxiOL96phYhj10cnvteOHbI5TYRR6K796VL1WwsJna5aONzeawwupgD0CyaW3HJCqSu1I0lpEQQgjZi1//9YdIbmWY2KEXRjUZp1IuVXH76goT87d50TtRu+7DtZLOl/DhjUVIMtvV9NDJbkrsIl+psyfAvF6OpCHL2nbIrQebs05jGXdI4irSaEZCCCHkkUxfnMf1j+8ysdGTA7A7bbu8Qz3Xzi8okjgOvjgMh7sxElcu39tQPEe2Oy14+uuDsNkpCZ18tc7eAKw2tpBhbiNZn4vREP89X+tOvDYH+/OOCtCJXlFyFyGE6MCHv7ykOICZfLZ2XbsWZrawsZJkYh2DrQ1xKCNJMj6+tYwNLtPe6bLiud8ZhsvTGBtFop3mNg+a29iq+luLkYY8jAEAT4Dt3pVNF3f5SHXwyV25dKFhP7eEEEKI1mLrSbz2vY+YWCjcgvZ+bZKPpq+t7FAgMlyzfUytlCoiPri2iFJFZOKD420YHG+r01URI+ngRjNmCmXFaJ5GwN/bV6sSJFHSfN2dRs6WaDQjIYQQ8pVkWcZP/x3btcvhsmPgcK/ma68txRXjGEN9zQ1xJgEAt5eimFpi/30WiwnPvDwEN51JkEdkMpvQ09/ExOY3kg33/NzOdc4q5GvbuUtZgE7JXUSfKLmLEELqTJIkvPn9j5lYW28z2npqM1M+my7i+ueLTMzusuHI18cMfygjyzI+m17FciTNxG0OC5795jBcbu2rj0hjGDnQzrxO5UpYiWZ2+Whj40cz1jq5S6yIKFGVPSGEEPJE/uEv3mLGoAmCgEMvjGqyViZVwOztTSbWOdyGlq6gJuvViyTJ+OjGomK8e3u3DwePd9XpqojRBJqccHL7z+WtxusGzN/bA7Xp3mXeIbmr2IDJc4QQQojabn06i9ufs2MRR08N7Jg4raZSsYIr5+aZmMVmwZFvGP9MAgAWN1O4OLPOxAQBOPXSAALNrl3eRcjOegbZ5K5MoYxIgyUfOT3sdJ1ioQxJql0CG9+BOJekAnSiT9TzkRBC6uzqmTtYn2crOEZO9NdkbUmScfHjexCrbCXt0W+Ow+4yduKTLMu4fG8Ds+sJJm6xmvDs14doFCN5LKEuH3wBB9LJB4lOtxYj6G7x6u6BQz6fxV/913/NxP7v//O/gsvleaT3u+vcuQu4XxnTKO3XCSGEkFq5d20ZZ1+9wsT6D3bD1+LVZL2bF5eYh50ms4DJ54Y0WateZFnG53fWFF2AfUEnTjzfD8Gkr/tAol+CIKCzx4/Z6ciXsaVIGocGQg95V+3tdS/Bj3gH7id3OTR+vmAymWAym5guYTSWkRBCCHm4+1273mZiTq8D/Qd7NF/75qUllIpsZ55DL40oEjyMaCuZwydTy4r40WfCCHX66nBFxOiCzS54fHZk0w+KF+Y2kmgLuB/yrvp40v2E08udBcj3E7xcNToj4M8oKuUqSoWK5vsYQh4XJXcRQkidvf43bNcuX4sHbb216dp198Ya4pEsE+s72IX2/paarK+lW4sRRdtjk0nA018bpOoY8tgEQcDwgRAuffKgy10klcdWMo9QUF+bKFGsYubeDUXsUXn8TuZ1LqNtcpfFZgEEANsKYbLJAlo6G6vrByGEEKIlWZbxwz/9NROz2CyYeHpYk/W21lJYX2aLKAaP9MLN3UcY3e3lKGbW4kzM7rTg6ZcHYdW4mwFpPB29ASa5K5EtIlsow+PUz4HBXvcSJpMJFpsF1fKD99SicxdwfzRjeVtyF41lJIQQQh7uyplpzFxdYmLjpwdhtmg79Cm2mcHiTISJhfpb0DPevss7jCOVK+GDa4uKjkMTRzoQHqzNmQ9pPIIgoHegCVNXH3SDW9xM4uRwB8xmfQ1pe9L9hM1hVRRrFHK1TO5S7slyqTwldxHd0dd3PCGE7DMLU2uY+myWiQ0f66tJJ6BENIvbV1eYmDvgxIHnjV9tP7Max5VZdkSMIACnXuxHS7s2nQtI4+vua1KMUrm1GNnlo43LHWAPZfPZEiRJ2uWj904QBNjsNNOeEEII2YvP3ryOu5fZUetjpwc16cYrSzJuXODHulsxcqpP9bXqaTmSxqWZDSZmMgt46muDNN6dPJHmNg9sdjYpcDmSrtPVaMfGde+qWXKXjf3cFnOU3EUIIYTsRpIk/Ozfv8PE3H4nwhPajh2XJAlXPmXHQFqsZhz5+qjupiM8rkKpgvevzqNcFZl430gLRg4aP3GN1FfPADuasVyVsBLN1Olq1CcIApweNpGrUMNOvFb7bwvQt8kk6IyC6A8ld3FOnz6NO3fufPm/P/uzP6v3JRFCGtgb32e7dtldNvSMdmq+rliVcPHje+zMaAE4/q3J+110DGwzkcP5O6uK+LFnwujoCdT+gkjDMJkEDE+0MbHVWAaJrLadrWqNH8soy0A+q+1Gim97nEvSxokQQgh5VOVSBf/w528yMbffiaEjYU3WW7i3hRT3kHP86cH7D0MbRDJbxCe3lKNUTjzXh6YWfXVtJcZhMglo7w4wsaVGTO5ysvf2tUruMlvYn0HUuYsQQgjZ3YV3bmFhao2JjT81BJPGXYBmb28inSwwsbGnBww/jrEiSvjg+iKy3KjJ9m4fDp/qMXziGqk/l8eOlhA72nBuI7HLRxuTg0/uqmGxBhWgE6Og5C5CCKmT+GYa5167xsQGD/dq3vYYAG5cXEQmxSakjJ7qQ1OHX/O1tZQrlvHRjSXIbNdjHDzZjV5qe0xUEB5qVlTbN1r3LpvDqjic1Xo0I5/clU0VdvlIQgghhPDe/P4niKywD3UPPj+qyb6iUq5i6jLb/dfX4kF4UvsClVqpiBI+urmEqsh2Lp042omuMI2NJnvT2cvuuSPJHIrl2iQ/1Qp/b1+3zl35Uk3WJYQQQoxGEiX87C/Zrl3eJjd6x7S9p8/nSrh9hS2g8LV4MHCkW9N1tSbJMj65uYRYmn2eGWh24eTz/TCZKLGLqIM/41qLZVGuiLt8tPE4vWySZyFX2/t5xRkFFaATHaLkLkIIqZN3/+4cxG03XiazCQOHejVfd20xjrlpdmRhoM2L0VP9mq+tpYoo4YNriyhW2AfHw5MhDI237fIuQh6PxWrG4Bj79bS4mUKp0lgHMjuNZtSSlds4ZRI5TdcjhBBCGkUyksE//tUHTKylK4jOoZAm6929uY4SV41+8IVhCA1yYCHLMj6dWkGKe4jcM9CEkQPafE7J/tLW4WMSL2UAy9HG6t5Vt+QuK41lJIQQQh7Fp69fw+q9LSY28dSQ5vf0Nz5fRLXKFlAceXkMJpNxj6plWcbFu+uK8Xgutw1PvzyouD8hZC86ewNMsqAkyw21l6jnWEZA2YGYkruIHhn3NyYhhBhYqVDGb/7hPBPrHe+E3WXTdN18toRLZ2eZmMlswvFvT2recllLsizj3K1lxXi8UKcPk0cbp4sA0Yf+0VbFJmphM1XHK1KfzcH+LKqUta0AcrrZjVtiq3E2pYQQQoiWfvy/vaWoZj304pgmYz9KxQpmp9aZWPtAC1p7m1Rfq16uzm1icYu9r/MHnTj6dC+NUiGqMFtMCHX6mNhGPFunq9EGX7hRqVFnMouV7T5c60p/QgghxAjEqoif/4d3mZi/xYuukXZN191YSWJ1Mc7Ewgc60dRp7Ekit5ejuLMSY2JWmxlPf30QDi5RhJC9strMaOP2EosNdC7h9NZvLCOgPBOh5C6iR8Y9ySeEEAP76JXLihuD4WN9mq4pSRI+/3BGkaRx6KUReJvcmq6ttevzW1iKsMkgHp8dJ17oa5guAkQ/7A4LOnrYBw9z6401397KjZ6saNyZzOFhWy7HNxpnU0oIIYRoZfbGCj78xUUmFp7oRDCkzQHJ3ZtrbKW9AEw+N6TJWvUwu57AzQV23LbFasKpF/thNnAhDNEf/kBmM5GDLMt1uhr18d8vIjfiVCv8aPl8hka9E0IIIbyPXrmMjUU2GWnimWFNCxnEqoRr5+eZmM1hxeSzxt5LLG6mcGlmg4mZTAKe+toAfNxUBELU0t0XZF6vxTMoNchoRid3RlDzzl38WMYUJXcR/aGnU4QQUmOSJOHN73/MxNr7W+Fr9mi67tTlFcQjbEVw10gbwgeM3dlqcTOF6/NsG2mrzYynXh6EzWbZ5V2E7A0/3z6aLijG9xiZlfve0bxzF9dyOb5JnbsIIYSQh5EkCd//179iYharGZPPjmiyXjFfxtxtdrR7z1i74YtEvrCZyOKz26tMTBCA0y8OwONz7PIuQp5Mazu79y+Uq0hyXaiNjO8KLkm1SVyz2tnDmFyKkrsIIYSQ7cSqiFe++x4TC4b86Bho1XTdOzdWkcuwz00nnx9SjEAzkmgqj0+mlhXxY8+G0RLy1uGKyH7R3uNnporIMrAcaYxCaf6MoJgvQ67RXgLYIbkrSfsJoj+U3EUIITV29cwdrM9HmZjWXbs2V5O4e3ONibn9Thz5+rihx4vEMwWc5TZRggCceqEfXjqEIRpq6/TB7mAToBqpe5fFXuvkLq5zVwO1kyaEEEK08PErl3HvGnsfPHZ6UPE7VS13b64x3XcEQcDo6X5N1qq1dL6EM9eXIHGdkw6f7lF0WCJEDW6vHS4PO/JjrYFGM5rM7DMGqUadu2zc/oySuwghhBDWZ2/eQGSFfX45+ay2Xbuy6QLu3mDPJZo6/Oid6NBsTa3lixWcub6oSGCfPNaJnv7GGVlP9MlqNSPU3ZijGR1ccpcsA8VipWbrK5O7qHMX0R9K7iKEkBp7/W/Yrl3+Fi9ae7S76S/ky7j48T0mJpgEnPzOAcXYAiMplCr44NoiRG4TdfBENx3CEM2ZTAK6uc363EZScShoVPzPhorGrZ35g+hUNAux2hjtpAkhhBC15TMF/P2fv8nEPAEXho72abJeIVfG3DTXtWuiHZ6AS5P1aqlUqeL9qwsoc/cdQxNt6B/RtoMB2b8EQVDsWddimTpdjfr4zl38nl0ris5dmcbphkYIIYSo4c3vf8K8bmr3o623eZeP3jtZlnH1swUmCUoQBBx+edSwBedVUcIH1xdRKFeZeN9IC4YnQ3W6KrLfdIfZ0YzriSyK3NekEdldNggm9mdDIVe70YxWB3UCJvpHyV2EEFJDC1NrmPpslokNHQtrtpmRJRkXP7qHUpG9sTvw/BACIeMmQEmSjI9uLiFfYrP2w0PNGBijQxhSG+FBNrkrX6pgM5Gr09Woix/LWNV4c8gnd8mSjGSkcQ64CCGEEDX94j++h3SM7fJz+KVxmC3aPOK5c2OVPZAxCRg9ZfyuXaIk4cPrS8gU2IfF7d1+HDjWVaerIvtFiEvu2krmUalRhyutKcYy1qpzF41lJIQQQnZ179oyZq+znX9HTvRrmmS1thjH1hrbUWjgaA/8rcYcWyjLMs5NrSCeYe8xWtu9OHyqx7AJa8R42rv9zP5floGlLeN37xIEAXYX2+G4XKpd5y76HiZGQMldhBBSQ298n+3aZXfZ0DPaqdl609dXEdlIM7H2gRYMHOnRbM1auDq3gS2uJWpzmwdHTtMmitSOv8kFf9DJxBplNGOtxzLanFbF+JbEZnqXjyaEEEL2r9V7m3j7B2eZWMdAK9r7tSlwyGdLmL+7xcTCk51w+527vMM4Ls1sYDPJJub7m5w4+XyfolqYELW1tnuxfesqyTI2E40xmtGsSO6qUecuvtI+TcldhBBCyBfe+dE55rXT60DHYJtm64lVCTcuLjExh8eOsaeMWyRyfX4Li1wCjdtrx8kX+mGi/QOpIYvVjPYutlhkoQGSuwDlaES+cYWmuKks9FyA6BEldxFCSI3EN9M499o1JjZ4JKxZhX1sM4Pb11aYmNNrx7HfmTB0AtRyJI1bi1Em5nTbcPqlfkWFMCFa6+W6dy1upVBpgHGCfOcurccyCoIAh5vt3hXbaIwNKSGEEKIWWZbx/f/PqxCrD7rgmMwCDr04rtma09dWIW/r2mUymzB6qk+z9WplcTOFOysxJuZwWvH0y4OwWM11uiqyn1htZjS1epjYWqwxkrtM3DMOSapN5y5+tHyekrsIIYQQAEAqlsWnr7PnEgOHemAyafcs/d7tdeSzJSZ28IVhxTNHo1jcTOH6PFv0YrGa8NTXBmB3GPPfRIytu589l9hM5BSTboxI0bmrWLt/E5fbRcldRJfoFJwQQmrk7R+chbgtQcJkNmHgkDYdtMSqhEtnZ4FtNyOCIODE7x5QZL4bSaZQxrkptn20YBJw6sV+2A387yLG1d3fxFTci5KMpS3jd5ziD0YqGo9lBACnx868ps5dhBBCCOviu7dw89w9JjZ8vB+egEuT9bLpIhbvsQcYfQc74fQ6dnmHMWTyJXx6my2CMZsFPP3yIJzcg2RCtBTiqu3XYo0xllw5lrE2nbv4Zx35TLFmIyEJIYQQPXv/J5+jyp1L9B/UbrJHsVDGnetrTKy5K4DOYe06hWkpli7gLHcmAQE49UI/fAHjdzQmxhTq8sFiZe+7+c5yRlTXzl1g9y3UkY/oEaUTE0JIDRSyJfzmHz5jYuGJLtid2hwe3L62gmy6yMTGnh5Ac2dAk/VqQRQlfHRjCeUq+3D20IluNLW463RVZL9zOK0IdfmwsfIgEWl2PYHBzmDdrsliseLY0ecUscf6O7gqumpFhCzLmnb9c3rYg+L4pvE3o4QQQohaysUKfvhvXmNiTo8DY6cGNFtz+toKU7lqMpswcrJPs/VqQRQlfHRzCRUu4ePw6V4EmrVJkiNkN22dPkxdeXDwmSmUkSmU4dXoOcGjUGMvwY9bF2uUYGW1K68zny3C46fvbUIIIfuXWBXxm7//lIn1jHZodi4BAFNXVphkMgA48MKwIaeJ5EsVnLm+AFFikz4OHu9GqMtfp6si5P4o9I6eAJbn4l/GFjdTGO9pqeNV7X0/YXdxyV017EbGd+4iRI8ouYsQQmrg/Z+eRz7DJlsNH+/TZK1ELIeZm2xlTCDkw/CJXk3Wq5WLM+uIZ9ixCt19QfSP1vdmlZDegWYmuWszmUO2UIanTocyTqcb//P/7V/u6e/gO3fJ8v2OgFqOKVImd1HnLkIIIeQLr/71GURWEkzs4AujsFi1eayTSRWwNMeOQh843A2H277LO4zh0r11xLl9Wc9Ak2LUNiG1EGhywuawoLytGn09loG3u7lu16TGXkLRuUuqUecuu/LnYS5VoOQuQggh+9rFd28pnrENHtHunCCVyGNhhu3+2zPejmDIt8s79EuUJJy5voh8ie0cFB5qxuB4a52uipAHuvuDTHJXJJWv67kEsPf9BN+5q1zDzl2yTJ27iP7RWEZCCNFYtSLize9/wsQ6h0LwBtXvNiVJEi6fnWUyzAWTgGPfHIfJZNwf+fMbSdxdjTMxj8+OI0/3GrLihzSW9h4/rDY26WluI1mfi1EJn9wFAJWyuMNHqsehGMtInbsIIYQQAIisxPHqfznDxFq6g+geaddszdtXV5iJBGarGcMnwpqtVwuLmyncWeH2FH47jpzuoT0FqQtBEBDq8DKx1Vi2TlejHrNiLGNtOneZrWYI3AFMLl3Y5aMJIYSQ/eHtH7Fdu5o6AgiGtOk4Jcsybny+yO4jLCZMPDuoyXpauza3iRh3L9ES8tD+gehGW4dPcS5h9NGMfFfBWnbu4qYyKvYWhOiBcU/6CSHEID594xpi6+wN1YhGXbvu3lxHKp5nYqOn+uBr8WiyXi2kckV8Nr3KxMxmAadfHIBVwy5ChDwqs9mE7j52DOPcekJR6WEkFpvye6tS0bZKRtG5a8PYG1FCCCFELT/6s9dR2V4tLgBHXprQ7EAhlchjZT7GxAaPdMPuql/1716l8yV8enuFiZnNAk6/MKBpZ1JCvkpbJ9vFYjORrVmnK63Uq3OXIAiKIpV8urjLRxNCCCGNb3F6Hbc/n2NiWnbt2lhJYos7Bxk+EVY88zOCzUQWtxbZTsZujw2nXhxQ3OsQUi8mk4CucICJLWwm63ItarE59dO5SxDoe53oD31VEkKIhmRZxmv/7SMm1twZQHNncJd3PLlsuojpq+yBha/Fg5GTfaqvVSvlqogz15dQ5Sp9jzzVC1/QWaerIkSpd5AdnZIplBFN53f5aP0zmUwwcwedWnfu2mkso5ET5AghhBA1TF+Yx+dv32Rig4d74W/17vKOvZu6ssy8ttjMGDpm3K5d9/cUi6hwe4pDp3poT0Hqjk/uqogSIinj7iMAZXKXWKPOXQBgs7OHQTmDfy4JIYSQvXj3R+eY13aXDd3D2nT/lSQJNy4sMjGHx46h48bbR5SrIs5OsecsJpOA0y8NwO5QTjsgpJ66+5qY1/FMEel8qU5Xs3c2vnNXsYaduzg0lpHoESV3EUKIhq58MI2l6XUmNny8X5O1rl9YZCtiBeDoN8YNW0kiyzLOTa0obkTDQ82KRBpC6i3Y4oLHx44VXDP4SBW+i0W1qm1yF98NpFysoKpxQhkhhBCiZ7Is4yf/9m0mZnNYMfH0sGZrxjYzWF9KMLHBo72K6lmjkGQZn9xcRirH7il6BpoQHqI9Bak/h9MKP5dkuB7P1Olq1MEXiYhVqWbdu/jDoETE2J9LQggh5EllU3l88uoVJjZwsEezs4K56U1kuY6ZE88OGrJL7ud31pDjEkomjnbC3+Sq0xURsruWkEeRdGjk7l127tlDpSxCkmpTLKIoNKfcLqJDxjzxJ4QQA5BlGb/6q/eZmLfJjc7BNtXX2lhJYGOZO4Q50oNgu2+Xd+jfzcUIliNpJuYPOnH4VE+droiQ3QmCgPZuPxPbSBg7uYsnaLyb2alLl9lCt6qEEEL2rxtnZzB9cZ6JjT89BJtDm0QrWZZx4xJbbW9zWDF0TLvRLVq7OruJ1Rib3OENOHDkdI9mYy0JeVx89671uLH3EfyBDABUyrUZp+Lyst2AY2vJmqxLCCGE6M2Hv7iIUuFBgpJgEtB/SJvn6uVSFbe5iSKBkBc9Y9p0CdPSwmYS8xtJJtYS8mBoQv0zHULUIJgEdPWxk4IWNlKGnYixU2FZuVSj0Yzcp4w6dxE9ov6RhBCikdufz2Hm6hITGz05oPohgiRKuP45ewhjd9kw9tSAquvU0losg6uzm0zMajPj9NcGKNmD6FZruxf3pra+fB1NFVAVJVhq3D2vUMjhh3//75jY/+X/+P+E0+mu6XU8LnmHan6BNlCEEEL2KVmW8fO/fJeJubwODBzUrtBhfSmB+BabVDJ6ug9WuzEfHa1E07i1GGFiNrsFT3/NmB0ESONq6/Bi5taD/W8sXUC5IsJWh69TNfYSOyWglotV2DVKTN3O5WO7oEXXk5qvSQghhOiNJEp450efMrGuoRCcHscu79ib6WsrqHDd9w++MGK4Yop8sYLz02tMzGo14/izfYb7t5D9pbsviLnpB3vfVL6EZK6EoEbf8w+z1/3ETnuJUrEKB9ehVwt8Qhx93xM9MuYTOkIIMYBf/dUHzGuXz4Ge0Q7V17l3e2PHlsdGPYTJFMr4+OYyGxSAUy/0w+2x7/wmQnSgOeSBIABf7AEkWcZWMofOZm9Nr6NareDylU+Y2D//Z/9LTa/hSUgi217ZbDXTBooQQsi+de2jO4pCkbHTg5qNUZEkGbcus+u5/E70H+rWZD2t5YplnL3Fdg8QTAJOvzQAt5f2FERfmts8MJmEL0cXyrjfBbi3zf/wN2pAjb2EyWyCxWZmRqyXShV44XzIu9TBd+6KriZ2+UhCCCGkcV396A62luNMbPBIWJO1MqkCZm+zRdqdw21o7gposp5WZFnG2dsrKFfZJLXDp3vg8mifVELIXjS1uuF0WVHIP+jWt7CRRHCo9t3z9rqfMJlNsNotqGzr1lXmxqTWChWeEz2i9ieEEKKB2evLuHF2homNnBhQ/TCmkC9jmmt5HAz50DuhfhJZLVRFCR9eX1RsoiaPdipGVRCiN1arGYFmFxPbTOTqdDXGw3fuslCXPkIIIfuULMv4Gd+1y+dEeKJLszUXZ7aQSXEFI8+ov3+pBVGS8NGNJcWe4tCJbrSEPHW6KkJ2Z7aY0NzGfm0afTQjX3FfLtZoLCPXuStCyV2EEEL2obd/cJZ57W/1orkzoMlaNy8uMd1uTGYBk88NabKWlqZXYtjg7r+6+oLo7g/u8g5C9EMQdhjNuNU4oxlLNRrLqOjcRcldRIeM95SOEEIM4Ff/me3aZXfZ0Dep/mHM9LVVVKtst5tDXzNey2Pg/o3T+elVJLLsoVJnbwDDk6E6XRUhj6e1ne3StZEw9qFMLUlccpfZQuOSCCGE7E+X37+NuRtsAcf4U9p17apWRExxBSOBNi+6Rox5D35ldhPRdIGJdYUD6B9tqdMVEfLV2jrZfYThk7u4sSm1OpBxc8ldqWgWpUK5JmsTQggherB4ew3XP2GLzoeOhDU5L4hupLG+zCZSDx7phduvfbdONaVyRVy5t8HEHC4rjpzuMeQ5C9mfuvubmNfZQhmpXKlOV7M3ikKRGu0lJJE9nzCZKI2G6A99VRJCiMqWZzZw8d1bTGz4eL/qiQrZdBELd7eYWO9EB4LttR/doIY7KzHMbSSZmNfvwLFntdl8EqKFFi65K5YpoMJ1jSA7kyRuLCMldxFCCNmHJElSdO3yBFzoHe/UbM2ZqXWUCuyYg8nnhwx5D74cSeP2UpSJub12HH2a9hRE31o72E7VmUIZWQMnJdmdfOeu2oxScfldihg/looQQghpZL/+bx8xr+1OG3rG1J/yIcsyblxcZGI2pxUjp/pUX0tLkiTjk1srELmi0+PPhGGzW+p0VYQ8vkCTE04Xew++FsvU6Wr2xmJjv/ckrsGFViplNomMLxwhRA8ouYsQQlT26n85w7y22q0YONSj+jq3ry5zLY9NGH96QPV1amErmcPFmXUmZrGacPqlAVitlOBBjKO51Y3t54ayDERS+fpdkIHwYxnNVrpNJYQQsv9cfHcKi7fXmNj4U0OaVYwWCxXM3GDXaws3o7WnaZd36FemUMa5qWUmZjIJOPVCP6w22lMQfQs0ORVfp+sG7gLMj1KpVbW9xWqGw21nYpuU3EUIIWSfiKwm8Onr15jY4NGwJgWUK/MxJKI5Jjb2VD+sBkuIurUYQTzDdv0dHG9FW6dvl3cQok+CICDUxX7drhq0G7DZwj7/4KcXaaVSYgtSXD5HTdYl5HHQqRkhhKhoZWYT515jN1BDR3thtam7qUnFc1ieizGxgcPdcHqNd7ORL1Xw0Y0l8OO/jz/bB6/feP8esr9ZrGYEW9xMbCOR2+WjyXb8WEYLde4ihBCyz0iShJ//B7Zrl7fJjZ5R9SvtvzB9bUXxoHTyuUHN1tOKKEn4+OYSyvzI+pPdCDQrO/kQojeCIKCtgxvxbtDDGEA5SqVWYxkBKEZBbS3FdvlIQgghpLG88TcfQxIf3A+bLWYMHla/6FwUJdy6zBZVeIIu9B3oUn0tLSWyRVyfZyejeP0OTB411r+DkC+EutipPluJnCGnivAJqaJYm39DhduzuL3UuYvoDyV3EUKISmRZxg/+11+zGyirGYNHwqqvxW+eLDYzhk+qv47WJEnGxzeXUODanY4ebEdnb6A+F0XIHrW0e5jXmwauuK8lmcYyEkII2efOv3UDy3c3mNj4U0MQTNqME8ymi5i/wx5m9Ix3wN/q3eUd+nV5ZgOxNFtx390XRN9IS52uiJDHx49mXI9nmW7dRqLo3FWjsYwA4OZGM1LnLkIIIftBJpHDBz/9nIn1H+yGzWFTfa252xvIZ0tMbOLZIZjMxjlyliQZ56ZWIG2/1xKA48+GFV2DCDGK1nYvM1VEkmVDFp7zEz3EWnXuKlLnLqJ/9BuKEEJUcun927hxdoaJDR8Nw+5UdwMV28xgYyXJxIaOq79OLVyb38RWkh1Z19bpw/hh7boTEKK11hB7IBrLFAxZIVNrksiNZaQHKYQQQvYRSZTwi//wGybma/age6RdszVvXV5qiDHvi1spTK+wnXk8PjuOPN0LQdAmMY4QLfCdu0oVEYlssU5Xszd8565ajWUElMld1LmLEELIfvDu332KUuFBYoIgCBg61qf6OuVSFdPXV5lYc1cAHYPGKqq4taQcxzgyGVJMZCDESKw2M5rb2MLztVimTlfz5CxWtui7VmMZ+T2L20edu4j+0KkZIYSooFKq4kd/+hoTc3rsGD2l7uGILMu4eXmJidmcVgweVb+9stbWYhncXIgwMZfbhpPP92nWnYCQWmhqdTMVMrIMbKXyu7+BAKDOXYQQQva3c69dw+os20Vr4ukhzZKT4tEsVhfYbjYDR7oNV5maK5bx6e0VJmYyCzj1Yj+sVrqXIMbi9trh9tqZ2LpBRzPauOKzUrF2yV2eAJfcRZ27CCGENLhysYK3fnCOiXWPtmuSmDB9bQWVMlvEeuB57fYtWkhmi7g+pxzHOEYF56QBhLrYbsBrsYzhugErxjLWqnNXiTp3Ef2j5C5CCFHBG9//GJtcNeiB50dhsVpUXWdzNYnYJptpP3qqD1abuutoLV+q4Owt9hBGEICTL/TDZjfWv4UQnsVqVlR5bRqw/XGtSRJ17iKEELI/iVURv/iPbNcuf6sXnUMhTdaTZRk3LywyMavdgpGTfZqspxVZvj9KpcI96D10sgf+oGuXdxGib61c9y7DJncpOnfVciwje5C9tRyHJNXmQIgQQgiphw9/cREZ7tnjyIl+1dfJpouYnd5kYl0jIQTb/aqvpRVJknHutnIc47FnwjAbaKwkIbsJdbLJXdliBel8uU5X82T4cwGxRlNR+OQut5c6dxH9od9UhBCyR/HNNF757vtMrLkzgJ5RdSs9ZFnGrcvLTMzpdaDvYLeq62hNkmV8cmsZxQpbuTt5vAtNrdT2mDSG1nb2UGYzYcxDmVpSJndRtw1CCCH7w4V3b2FjIcrEtOzatbGSRJQrGBk51adIxtC76eUYNrhDrO6+IPqGm+t0RY1HlmXkqhUUxdp1Xdrv+NGMW8kce/hoEHYn+/OkUhYV9/ta4ccyVisiEpvpmqxNCCGE1JokSnjtex8xsVC4BYFW3y7veHK3Li9BlraPdRcw8eyg6utoaWopiliaHcc4PBGicwmVyLKMsiQarlNUI/EFnXBw9+JGG81orsNYRrEqKTqEuWgsI9Ehao9CCCF79PP/8A5KXOb74ZfGVT+MWV9KIBVnR7uNPdVvuO421+c2FV2M2rt9GBpvq9MVEaK+lpAHd248eB3LFFCpirBSwtKuZJHdPFlolBIhhJB94o2/+Zh5HWjzoWNAm3tjWZJx6xI75t3pdWDgsLEKRpLZIi7PbjAxp8uKw0/1GGokjN6IsoRIqYD1Ug4bpRzWizkUpPuJXR6zFa12F9psTrTaXGizu+A002NFtbW0eZjXoiQjWyjD57Lv8g59sjmVyaKVchX2GiSR2l02RSybKqC5I6D52oQQQkitff7OTcUIYi26dsW3Moqx7v2HexQdM/UsmS3i2hzbeczjs2P8CI1j3IuCWMVSMY3FQhrLxTSKkgiLYILfYkfAYoffaoPPYoffYkfQ6oDbbKyiIqMRBAFtnT4szT6YNLQWy2C8t6WOV/V4FGMZRe2TuyplZadhGstI9IiewhBCyB6sz0fw4S8uMbG+A90IhtRvRTxza5157W1yoXfcWBuP1WgaNxYiTMzpsuLYM310CPOEZFlGqlrCZin/2//lEKsUmeru7XUyAoCA1Y52uxvtdjc6HG4ELHb6/KuMr/aSZSBTKKPJQK18FRVWGn+J8KNadjqUIYQQQhrNvatLmLnCJluNnOjX7N5scTaCdJKtVJ94ZsBQHTNFScInt5YVXYCOPRuGzWDj6vUgWi5gJpvAeimHrVIeInauss+KFWTzKcznU1/GPGYr2u1uHPA2o8vp3fF95PHYnVZYbWZUyg9Gj2QMmNxltSu/F8ul2iR3CYIAq92CSulBx7k816GDEEIIaQSyLOPV/3qGiQXafGjtaVJ9nRsX2T2L1W7B6Kk+VdfR0o7jGHF/D0HjGB+PLMuIlAtYLKawWEhjs5xXfExVlhCrFBCrFADuNqzT7sFRXxvCDh+dSWikvYtN7tpI5lAVJVgM8rXOF33zHbW0sH3v8AWXl5K7iP7QUy9CCNmDn/3lu5C2ZY2bLWZMPjOs+jrxSAaxLW50ysk+CCbj3PxmC2V8cmuFiQkCcPKFftgd9OvocURKecznU/eTucp5lKRHnzkuA0hUSkhUSridvV9t5TCZv0z2Crt8aLY6aGO1RxarGQ6nFcXCg4SlXLFiqOQuiauIMZu03fzlM0XmdXOH+kmyhBBCiN68+bdnmddOrwNdQyFN1qpWRUxdYe/HfS0edI+1a7KeVq7PbSGRZe8bBsfb0Nah/uiZRpaslHA+sY57+eQT/x1ZsYJ7+STu5ZPodXjxVLADrXbXV7+RPJTHZ0ci+uCQLJMvAc3GSp4zW8wwmU3MnqJSrt14T0VyF7fXIIQQQhrB1Pk5zN9cZWKjGhSKbK6mFGcTo6f7DTXW/faychzj0EQbmls9u7yD8IpSFbezMdzMRpGulr/6DbtYK2WxFsmiyerAUW8bht1NMNNZhKpaO70QhPsF58D95MbNRA5dLcbYU/DTisTqo59/PakKV3hutVtgsxvnZxzZP+g0nRBCntDi7TV8+vo1JjZ0tBcOt/oVtXzXLqfHjq4RbQ59tCBKEj66sYQydxN24Hg3mttoA/UoSpKImWwCU9kYImV1q46LkoiFQhoLhTQ+S64jaHVgxB3EiDsAn9VYFeJ64vLYuOSuJ9/0Pg6z2YLhoYOK2OOSRLaSTTBru8kucAcuLTQ2hRBCSIOLrSdx/q3rTGzwcC9MGlXTzk5toMiNk598bshQSf1byRxuLbKdgL1+ByaPddbpiownWy3jQnITt7OxXXp0PZmlYgZL6xkMuQI4HexAgPYRT8zt5ZK7CrXZRwDq7SUAwOawopgrffm6XNL+UOYLVpsVwIP9RT5LyV2EEEIaz6//+gzz2u13onNY3TMDWZYxfY0tEHH5HOg/ZJyx7qlcCVd3GMc4cYT2EI8iVi7gejaCu7kEqrJ6HZTilSLeiy/hfGodh71tmPA0w2YyTkdpPbPZLAi2uBGP5L6MrcYyNUnuUmM/YeY6d1Xr0LnLSCNnyf5CyV2EEPKEfvrv3mFeW+0WTebZ5zJFrC6y8+wHjvRoduijhcv3NhDLsAlJneEABsdb63RFxiDLMtZLOUxlYpjNJ1Hlx+RpJFEp4nxyHeeT6+iwuzHiDmLIHYDjCR/q71cut43ZQOWKyrntmqzr8uD/9f/48z3/PZLEbppMGncKzHM/I5opuYsQQkiDe/fvP2PGC5gtZvQf1OaQpFSs4O6NNSbW2hNEW1jdkS1aKldFfHJrmR05bhJw4vk+GqXyCIpiFZdTW7ieiUD8in1F0GVHu8+Jdr8L7T4XRElCJFtEJFNEJFtALFtEVdr577iXT2I2n8SEpxknA+1wW6ja+XF5vGxiXCZfu+QutfYSAGB1WJjkrlp37tqOLyQhhBBCjG5xeh3XPrrLxIaP98Okcuf9rbUU4pEsExs93a/orKNXsizj09srypHuz4QN82+oB0mWsVBI4XomgtVS9is/3mIS0BVwIxz0oN3nQrEiIlUsI1UoI1UsI/3b/99pD5EVKzibXMXF1AYGXQEMugLocnipm9cetXf5mLOJtVjmIR+tHjX2E8rOXTVI7uLObtwGmsBC9hc6pSWEkCdw9/ICLn9wm4mNHO+HzWFTfa256U1sP8Gw2MzoO9il+jpa2YhnMb0cY2Ienx3Hng4bqktALUmyjOlsHFdSW0hWS1/9BgAumwVtXudv/+eA07rtV7zw4P/KooStTAEbqQI20nnkv+IB+3oph/VSDh/HV9Dv8uOoP4QQjVp5JE43+/MgW6POXWqQJRl8KwetxzLyBy7NnQFN1yOEEELqqVQo472fnGdivROdmuwnAODOjTVUKmzXHKN17bp4d12RLD9xpAOBJro3fRhRlnA1FcHl1CbKu1Ta2ywmTLQH0RlwIeR1wW5VVsw3uR0Y/W0jCEmWkcyXsJLM4epyTLGnkAHcysYwnYvjiK8NJ/whWDS+l2wkbj65q4adu9Rk4xKsyqXaJXdZbOzaNJaREEJIo/nVX73PvLY5rQhPqHtmIMsybu/QtavHQGPdp1diiKTyTGxwvI2mieyiLIm4nYvhejqCtPjwe1C/w4Zwkwe9QQ86/C7F/X4X3MxrUZIxE0nh6koUiR3ub0uyiKlcDFO5GOyCGX0uPwadAfQ4vbAItJd4XKEuP6auPpgIlCmUkSmU4XVq88xBTWYLux8VRe2Tu8rcWEaXz6H5moQ8CUruIoSQxyTLMn7yb99mYnanDUNHw6qvVa2IWJjZYmLhyU5FFapeVaoizt1mN4Ams4BTLw7AaqMWuzvZKObwUXzlK0cvum0WDLb6EPK50OZ1wmO3PPLhXLvPhUNd97+Ws6UKNtIFbKTyWIxnkS3t3F1KAjCbT2E2n0KXw4Nj/jb0OLyGOhCsNZeH3SjVqnOXGnbaMJk0HMtYKVUVrY9bKLmLEEJIA/vk1SvIJthDhqEj6u8ngPudgOdubzCx7tEQAiGfJutpYSmSwux6gok1t7kxPGGcUfX1sFrM4kx0edeCEYtJwMGuJhzpbtkxoWs3JkFAk9uBJrcD4+1B3FyL48pyFGWuolqUZVxKbeJeLomvtfSgy0GHaI/C7WOTu7KFMiRZhslgey+rg+3aVs/OXZTcRQghpJHM3VzBZ2+w492HjoRheYz7uUextZZCfIvt2jRyqs8wE0XS+RKu3GP3QW6vHRNHaRwjL1et4Ho2gluZKEry7qO0TQIw0OzDgc4mtHudj3U2YDYJGAsFMNrmx2I8iyurUWykdz4DKcki7uTiuJOLwyqY0Of046ivDa02Kux5VP4mJ6w2MyrlB/890/mSIZK7+J8xkqj9RJsy37nLR527iD4ZIzuAEEJ05PxbNzB1fo6JjZ4aUFSGqmFpLsrcfAHAwGHjzLO/OKOsrp882gV/kG6MeLlqBZ8m1nAnl9j1Y0wCEG72Yrw9gO6gZ88P9wVBgNdhg9dhw3CbH8/JMjbSecxspTEbSaNU3Xkjt1rMYrWYRYvNiWP+Ngy6AoY7aKgFF9e5K1cwTnKXtENyl6DhWMZCRrmRb2r3a7YeIYQQUk+yLOPN73/CxEJ9LfA1a5P4MnWFHUMimASMPzOoyVpaKJQq+Oz2KhOzWE04/myfpvcnRlYUqziXWMPtbHzHPzcJwFh7EMd7W+C2721sotVswtGeFky0B3F1JYobq3HFuJVUtYRfbdzDhKcZzwQ7YKdx7w/Fj2WUZBn5YgUeAxzEbGflvrZq2bmLX5uSuwghhDSSH//FW8xrq92CQZULRWRZxtQVZdeu3vEOVdfRyv1xjKsQufvSo0/3wkLjGL8ULRdwNbOFmVwCEj/GYRun1YyJ9iAm2oPw7HH/IAgC+pq96Gv2Yj2dx9WVKBbiu49+rMgSZvIJzOQTGHEFcTrQAZ/FvuvHk/sEQYDbY0My/uC5e36Xwn7dq8G2v8yd3Xib3Lt8JCH1RU9TCCHkMeQzRfzgf/01E3N6HBg41KP6WrIsKyrsQ/0tcAeMUZ2wGs3g3hqbqNQS8mBwvLVOV6RPoizhejqKC8kNVHYZkxJw2jDWHsBIKACXBkmEXxAEAR1+Nzr8bjw72I7lRBYzWyksxDKKjTBwf/P3TmQRPss6TgXaMeIOUievbfjOXcVKFVVRgsUA1W3yDv+9zRpeN3/Y4mv2wLbHBwWEEEKIXt04O4PVe2x3Xi26AANAMpbD8lyUifUf6oLbb5xiiwt311HiRkoeOtmjGF1H7u8h7+YS+CS+iqK0c6HGUKsPJ/va4Fc5UchuNeN0fwgHOptwaSmK2+sJxfHQVDaGhUIKLzZ1Y8AdUHX9RmKzW2CxmlCtPNgfZgplwyV32RzcWMby7l0g1GZVjGV8eGdsQgghxChunruHG2dnmNjoyQHYHOo+R9tcTSIR5bt29Ruma9fdlTi2kjkmNjDaitZ2b52uSF82SjlcSG1gqZh+6Me1ehw42NmEoRYfzBqMWe/wudAx0Yt0sYzZaBpzsQy2HnLfdjefwL18Ege9LTjha4eDikYeyuGyAtuSuwpGSe6S2Z1kLU6cStyoUG+QkruIPtFPPUIIeQw/+8t3kNhkb3gPvTCqmAGthshGGukkeyM7eMQYXbtKlSo+5cYxmi0mHHsmTMk/23zVmJSgy4ZnBtrRHXTX/PNmNj2ooClVRdxeT+D6ahz5HUZppKtl/Ca6hOVCBi8298CqwUbPiPjOXQCQK5bhd+t/XvuOYxk17IzBJ3c1d1DXLkIIIY3rrb89y7z2NrkRCrdostbNS0vMa4vNjNFT/ZqspYWlrRQWt1JMrKPXj97BpjpdkX4lKyV8GFvGSnHnqvdWrwMvDHWg1attYp/bbsULwx040BnEh3fXsckdzuTFKt6MLGAg58cLTd1wWyihnycIAjxeO1Nln8mX0NFkrLGWirGMNe3cRWMZCSGENB5ZlvEPf/EmE3O47Zp07bp9leva5Xeid7xd1XW0kimUcXmWLZp3eWyYPEbjGNeKWVxMb2C5mHnox/U1eXC4qxkdPldNziV8DhuOdrfgaHcLsqUK5n6b6LWezis+VoKMa5kIbmdjOOYL4ZC3jc4jduHgikMKNbwf3wvthzAq8cldPurcRXSKkrsIIeQRzd9axds/PMfEQuEWdI1os6mZnWI3IJ6gC629xjjEuHB3HQUuCejgiW6qrt/mRjqCj+OrO96o2swmHA+34kBnE8w6GDVjt5hxpKcFB7qacHczhWsrMaS4m10AuJNLIFou4Hfb+uG30n9ri9WsmGufK1Y0T+4qFvN45R//OxP7w3/yf4XD8ehd/+Qdk7u02yTzYxlbOgKarUUIIYTU0/p8BFfOTDOxoSPaFEBsraWwtcYmRg2fCMPuMkb3n1JFxOd31piY1WbG0dO9VDCyjShLuJKK4GJyA+IOuwur2YTTfW2Y6AzWdJR6k9uBf3KkD7fWEjg/v6kY1TiXT2GlkMHTTZ2Y9DTTf1OOm0/u2mH/pQU19hJfsNn5zl01TO5SdO6i5C5CCCHG9/lbNzB3g026Gn9qCBaruoXnGytJJKJs16vRU32G6Np1fxzjCqrcs81jT4dV/zwZyWoxgwupDayWdh9/aDYJGG0L4FBnE4Ku+j3b99itONTVjENdzciXq7i9mcDVlRjK3H/Tsizhs9Q6bmSj+HZLP9rtlIzDc7i4UeU16Nylyn6C39bWYywjde4iOkXJXYQQ8ggkUcL3/t+/ZEaVmcwmHHl5QpOH0LlMEesr7EjDgSPdhnjgvbiVwvxGkom1dfrQN9xcnwvSGUmW8Ul8FTcy0R3/fDQUwOn+Nk3HLz4pi8mEiY4gxtoDWIhmcGU5ikiWfUgeqxTx07U7+GZrGH0u6r7k8tiQ2nYoky1qv4GqVMr48OPXmNjvfef//FgbKGmHsYy17dwV0GwtQgghpJ7e+gHbtctqt6J3Qv0KclmWFV27HG4bBo/2qr6WVi7NKAtGDp3qht1JnZ6+sF7M4UxsGfHKzokr/c1ePDvUDk+dxl2bBAEHu5rQ1+zBRzMbWE6wh0llWcKHsRXcycbxUnMPmm3GGReqNbePPVBL52uT3KXGXuILde3cxa1NyV2EEEKMTqyK+Mm/e5uJeYIu9B3oUnWdnbp2uQNO9Bika9fMahybCTYxrW+kBa0d+3Mc43opi8+S61h7SFKXw2rGwY4mTHYE4bTq60zCZbPgeE8rJtqDuLQcxa31OPjH1jmxgtcis/hn7aPwWajgfDuHk0/u0v5+XJ39BD+WUftzUercRYxCXz+lCSFEp9778XnMXmc3NWOnB+EJPP4DzkcxN73J3L9YbGb0jHdospaaCuUqzk+vMjGrzYxjz1B1PQCUxCrejizu2Pa41evAc4PtCPm0+ZpSk0kQMNDqQ3+LF3PRDM7cXUNlW+VMWZbw+tY8TvhDOBlor2mHAL3hk7tyxdocyuyVxFVCCQIgaJjcVeCTuzoDmq1FCCGE1EsuXcCHv7zExPoPdsOiwQP0tcU4kjH2UGPsqQHDVKuvx7OYXWeLXUJdPvT0G6OTsdaKYhWfJtYxlY3t+OdumwXPDXWgv0Ufh1hehw3fOdCDe5E0zs5uoFgRmT/fKOXxk7U7OORrxalAO2wmY3ydasnjZbv9ZgqlOl3Jk9NT5y5+v0EIIYQYzZlfXMT6PFssPPnMiOqd9teXE4p9xOipfk07+qslWyjj0j12GorTbcOBY+omwBlBQazgXHIN07n4rh/jslpwpLsZE+1BWHXelc1pteC5gXYc6mzC54tbmImkmT8vSSLeiszjj9pHYBH0/W+pJSfXuatQg85dapDr0rmLPbehzl1Eryi5ixBCvkIyksGP/7e3mJgn6MbI8X5N1qtWRCzMbDGx3olOxcNJvZFlGeenV1HiHtQfOtUNp0FGv2gpWSnhja05JCrKh/LHeltwMtxquAQ4QRAw2OpDs9uOt6dWkMiz/7aLqU1slfL4ZmsYDrO+v3614nKz1UK5GnTuUgOf3KX1A5w8P5aRkrsIIYQ0oI9+eQmlbd13BEHA4BH1O2ntVG3vCbrQO6n/YhEAqIqSomDEYjXhyFNUMCLLMu7kEjgbX0VREhV/LgA40NWEk+FW2Cz6SpASBAHDbX50B934dHYTd7fYkaEygGvpCGZyCTwT7MSIO7iv/3u7vew+IlsoQ5ZlQ31OLFxyV7WiHP2uFTOXyFqsUeczQgghRAulQhm/+P/9hokFQz50DYdUXWe3fUT3mLrraOGLswl+HOPRp3thtenrvlhLkixjKhvDZ6k1lHbYLwD3C0GOdDdjIhSERedJXTyfw4ZvjHbjcFcBn8xuYGPbM+VIpYCP4sv4WhPtG7/Aj2UslquQJFnTCR1a0PpqxaqIKneuScldRK/250krIYQ8hh/92euKFv5HX56A2aLNje/yXBSVMnsjMXCkW5O11LSwmcIyVzHR0eun6noAK4UM3oosKDZUZkHAS6OdGG4z9vjCgMuOPzrajzN31zDLfQ0sFTP42fpd/FH7MNyW/TdCx+VmExtzBWMcKkgiWx6j5YZPlmXlWMZ2Y39PEEIIITxZlvHu33/KxDqHQnB51R9Dt7YYRzrJJk6PPz1giGp7ALixsIUMd880eaxLcV+138TLRXwYW8ZaKbfjn7d4HHhhuANtGnxNqclpteDlsS6MhPz4aGYDaa6zbV6s4jfRJUxlYvh6Sy981v05WoX/ehclGeWqCLvORuU8jFhlD1fNNTw8rHJdwhxUcEYIIcTA3v7hOSQ22WeuB54bVT2BZX0pgVQ8z8RGTxuja9dyJI21ODt6MDzUjFCnr05XVHtbpTw+TCxjq5zf8c/dNguO9bRgLBSAxQD/TR+m1ePE/zDZi59fm0dq297xdi6OkN2NSU9LHa9OP5zcWEYZQLFShcuu73MamW/dpXGyXqmgLMinsYxEr4z905sQQjS2dGcdZ1+9wsR6xzrR1tusyXqyLGN2epOJhfqaNRv/qJZyVcTFmXUmZnNYcPQ0VUncTEfx6uasIrHLaTXj9w+HDZ/Y9QWr2YRvjHXhmYGQopIiXS3jja15VKXaVWrrhcvDHiJkjdK5i/tvZTJr931cypchS+yGrbkzqNl6hBBCSD3c+nRWMUZFs65d19iuV75mNzqH21RfSwvJbBG3FiNMrKnVjf6R/ftwviKJ+DSxhp+sTe+Y2GUxCXh6IIQ/Otqv+8Su7bqDHvyzEwM43tsC8w57xrVSDj9fn0GktPPhVKPjq+wB43QB/oLIVb9brLV7DF0pscldbr++n6kQQgghu8mm8nj1v5xhYm29zaqfT+zatWtE/127qqKkOJtwOK04eEL/BfNqKElVnIkv42ebd3ZM7LKaTXimP4T/04khHOhoMnxi1xdsFjO+Pd4DC1eU/FF8BZu7FMTsNzaHRZEXlTfIaMZa4kcymswmuHyOOl0NIQ/XGD/BCSFEI6/+1w+Z11a7BQdfGNVsvdhWBukEewM+cKRHs/XUcmN+C0WuMvbI6R7YnfquANCSLMv4LLGOD+Mr4EeEN7nvd7pq9zXWA2ZBEHCouxn/u8NhOLkxGFvlPD6ILSurLhqck6u4L5QrkCT9fw74zl2Chpv+Qpbt2iWYBARaPJqtRwghhNTDOz86x7z2NnnQ0qV+MvPaUkKxnxg93W+IggtZlvHZ9Cq23y4KAnB0H49jnM+n8A+r07ic2sJOZRL9LV78TyeGcLi7GSYDfo4sJhNO9rXhn50YRG+T8v6vIFXxysY9LBXSO7y7sZlMAhzcftpoBzH8aBNLDUeFlrlEOLffOImPhBBCyHa//usPkUuzXXkPPDei+jqR9TRS3D5i7HQ/BAOMb7u1GFEkwR840bUvxjEmKyX8bOMubmWjO/75UIsP//zYIA53NcPcIEld2zW57Hh5pIuJSZDxVnQeBdFY985aEATlnqLAFUHoEt+4S+PlSlxylyfgMkTHQrI/0VcmIYTsYms5jk9fv8bEho/1weHWbizEHNe1yx1woi2s77GGqVwRt5fZzUOoy4eu8P7tvCPJMj6ILeNSalPxZ33NHvzB4T54HY07FqLD78b/4dgAfA5243A3l8CV9Fadrqo+XFzFvSzfT/DSO0XnLg0f5BRzJeZ1oNULUw1HthBCCCFai64lcOn920xs8HCP6glLsixjmqu29zYZp2vXzGockRR7oDR8IARfcP8lZaQrJby+OYc3tuaR2eFQwmO34ncne/CtiR54HMYvqPE7bfjOgV58e7IHXm5ESEWW8PrmHKaz8TpdXf043Vxyl8E7d5kttezcxX6uPJTcRQghxIDim2m89bdnmVj3SDuCIfUnQdybYjtfeYIudBmga1e2UFZ0/m0OedDd1/hnE2vFLH6+eQepaknxZwGnDb9/oBffHOuGW+cj+PZqsMWHw13sGVpWrODt6AKkfVZovhN+PLkRCkbkGmd38Z27vMHGaspAGoul3hdACCF69dr3PoIkPkhwMFvNGDis/uiULxTzZawusg+s+w9167pKXZZlXLi7zlTXm0wCDp3cHy2Pd1KRJLwTWcDCDtXlR3tacKqvVdf/TdXitlvx7clevHJ1HpVt30efJtbRZHWgz9UY4yi/is1hgckkMN26csUK3DpP7uPHJGr5NbtTchchhBDSSN7+wTnFvqJ3vOsh73gy60sJRbX96Ok+Q9x7FkoVXJ7dYGJurx1jBzvqdEX1IcoSrqQiuJTaQHWHgwiTABzubsax3lZYGzAZvq/Ziw6/C+9MLWM1+eBrWQLwXnQJuWoFx/xthviaVoPTZUMCDz4POQMcxGyn6NxlrWPnLh8ldxFCCDGeV777HvM7TRAETDwzrPo6mVQBGytJJjZ4tMcQXbsuzaxD3P4cUwAOn9T3mYoa7uTieD+2BIlLgrGYBBzvaf1tp67G/hxs91RfCJFsEWvbioVWS1l8llzDM0H1995G4nRZkdj2umCEPUWNc/L4zl2+HbpKE6IXjfckiBBCVJCKZXHm5xeYWP/Bbtid2iVkLMxEmIQKk9mE3gl9H2YsR9JYj2eZ2NBEGzz7dB51Uazi1c17isQuAcALwx043b9/DiKA++MnvzGm3Dy9E1lErFzY4R2NRxAExWhGQ1THcMldtezcFWz1abYWIYQQUmvFXAnv//RzJhae6ILVrm6tnSzLuH2N7drlCbrQNaz/ansAuDizjkqV7Rx65HRPTTv91Fu0XMBP1+7ifHJ9x8SuTr8L//T4IE73hxoysesLdosZ3zkQxtAO94SfJdfxUXx131TgG71zF5/cVc/OXTSWkRBCiNFEVuL44Gfs+UTfgW54g27V15q9zRZZWO0W9Izr+1wCANbjWSxF2OfwAyOt8Dc1btcdWZbxeXIdv4ktKhK7WtwO/I/HBnGsp2VfJXYBgEkQ8M3Rbrht7D77SmYL9/KJXd61PyhHvRtgLCNH6zO1UoHdO1DnLqJnjfs0iBBC9uCdH55DZdtNjmASMHysX7P1JEnG/B12hF/3aAg2HY/YqIoSLs6w7ZodLitGD7bX6YrqK1Mt45cbM9gosd0SzCYBvzPRg4mOxm8FvZNwsxen+9lRQBVZwhtb8yiKxttIPAn+UCZngEMZqYbJXQW+c1cbde4ihBDSOD785SXkM0UmNnQ0rPo668sJpOJ8165+Q1Tbr8ezWNhMMbGegSa0de6PhG9ZlnEtHcHP1u4iXikq/txpNePl0S78/qEwgi57Ha6w9swmAV8f68Lh7mbFn93MRPF2ZAFVbox4I3JyI1SM1rmLH8tosdSycxe716TOXYQQQozmle++z/wuNZlNGH9qUPV1KuUqFu+xYw37DnbVtOPmk5AkGRfurjExm92C8SP6T0p7UlVZwruxRVxIbyj+LBz04A8O9cGn82kRWnLZLPidsW7wW+D3YkuI7pNC8504XOzZhBE6d9W6lkc5llH9JFpC1ELJXYQQwinmSnj7R+eYWO9YJ1xe7bpRbSwnUMizNxD9h/U92vDWYkSRpHLguP43flqIlQv4xfoMEhU2ScVmMeH3DobR37K/k1WOdDdjuI0dw5iulvFWZAHiPqi65w9ljFBxv310FABND4ZpLCMhhJBGJUkS3vrbT5hYx0Cr6g8KZVnG9LVVJuYJutA9ov+uXaIk4fM77KGM1WbGweP7Y3RGXqzgta05fBJfVVTeA8BkZxD/08khjIT8+6oDMHC/OvvpgRCeGVB+Hc/lU3h9a67hO3g5XY3VuctS185dVH1PCCHEODaXYvjwl5eY2MChHjg96p9PLM1GIW7roCsIgu7PJQDg7moMKe6Z4sTRTthU7pCsFwWxgn/cvIeZHbpQHexowrcnehq6u++jave58OwA23ygKkt4IzKHwj4pNOdZbex5nRGKZGSpdmcTgHKkO3XuInpGP+kJIYRz5ucXkUuxmfwjJ7Tr2gUAc1zXrkDIi2BIv5Xq2UIZtxbZip7mkAfdffuvO9VqIYNfrs8gJ3IPj20W/MHhPnTQQ2QIgoAXhzvQyiVIrhazOBtf3eVdjcPlNl7FfS3HMpYUyV36/dlHCCGEPI7LH0xjYzHGxIaO9am+zsZKEslYjomNnuozRNeuqaUo0nn2XmDyaCfsTv12MFbLYj6NH6/ewVIho/izZrcDf3S0H88PdcBew25HenSouxnfGO+CiUtuWylmcSm1ucu7GsNO491lAyW08Z27zDUsBOMPaKhzFyGEECN55bvvM4WXZosJoycHVF9HlmXMTbP3U+2DLZoWuauhWK7i2hx3ntLkRN+QsutrI6hIIn69NYuNMrvnEwA8N9CO5wbbFffK+9lkexBjoQATy4hlvB2d3xeF5jy+SMgInwKRKzw3a5y4yO8dPAE60yP6RcldhBCyjVgV8frffMzE2vtb4Wv2aLZmNl3E1ho7hqT/kL6rYy7NrEPcnvwhAIdPdu+7avKZXAKvbs6hLLM3m0GXDX94pB9Nbn1vhGvJYjbh2xM9cHFz729koljMp+t0VbXRCGMZtfzeLnJdCwMt2v28JYQQQmrpTW5f4W/1orW7SdU1ZFnG7asrTMwdcKJrVP9du7KFMm7MbzGxYLMLfcMtdbqi2qhKEj6OreC1rTkUJGX1+OHuJvzR0T60eSkZ5QtDrX783sFe2LiH+heSG9go5nZ5l/HxHYBFSUa5Ku7y0fpTz85diuQuP30/EUIIMYbNxRg+/tVlJjZwuBcOt/rjuaObGWS4Ine9n0sAwLW5TZSr7PP4gyd7DFHc8rgkWca7sUVEKux/J6vZhN+d6MHBTnX3l41AEAS8MNiOdm4/tVrK4mxiZZd3NS7+sb4Ruh/zU0W0LDwHdkruorGMRL8ouYsQQrb57M0biK6yrW1HNe7aNX+XrTKx2i3o0vEIlfV4FksRNhlnYKQV/qb9lc1+NbWFdyKLivEpIZ8T/+RwPzyOxu828Ljcdiu+NdEDM7ejOJtYM8Sm4kkZcSxjTTt3cTPttUymJYQQQmplYWoNU+fnmNjw0T7VE6Z37Np1uh8mk/4f91y4u8YWjAA4/FRvQx7KfCFdLePn63dxPRNV/JnLZsH/cLAXTw+0w2yA/3611hlw4zsHerH9q0MG8G50EWXJOAlPj8PhUu4pjVAo8gW+c5elhl3o+LGMHkruIoQQYhCvfPc9RdcuraaKzE1vMK89QRdae/Q9mSORKWBmNc7EuvuCaAk15vPET5NrmC+wjQE8dgv+8FAfwk3eOl2V/plNJnxrvAduvtA8G8WtrHIv1sj45/pG6AQsiew1at+5iz2foL0D0bPGHD5MCCFPQJZl/PqvP2RiTR1+NHdpt6ERqxIWZ9jxhr0THbDUcFzB45AkGRfurDExm92M8SMddbqi2pNlGWcTa7iWjij+rK/Zi6+PddF8+4cI+Zx4dqgdH82sfxlLVIqYysZwwNuYXRr4cSrFShWiJGl2aGcymdHR3quIPQ6pRnPtq5Wq4tCHkrsIIYQ0gje+z3btsrts6B5V955ZlmVMX1N27eo2QNeu5UgaK1F2HGH/aAuCzY1bMBIvF/Hq5qxinDsAhJs8eGmkE04bPaZ7mHa/C8fDrbi4+GAvlq6W8VFsBd9oDdfxyrRhMglwOK0oFh58zeRLFTRp2NVNjb3EF/jOXeYade4SqxJErpuH29+4P1sIIYQ0jo3FKD7+xytMbOBwLxwu9bt2FfNlrC2yRe59B7t0P5nj4r0NptTabBYwebyrbtejpVvZKK5m2E7HdosJvzcZRlCDr4lG47JZ8O3xHvzqxgJTVPRRfAVBiwOdjv3xDLrWYxnV2E/w9/Imc607d9HegegXPTUihJDfunF2Bou32cSlkeP9mm5oVhdjKJfYURx9B/W7GbmzGkMqX2JiE0e7YLPvj18nVUnCb6JLmM0nFX822RHEs0M03/5RjLcHcGstgViu+GXs88QGRtxB2J7w4EDP+LGMwP3uXV6NNuFutxf/6l/+1z39HbXq3FXiRjICgL+Z2h4TQggxtmQ0g3OvXWNig4d7VU9s2FxNIRHlunad0n/XLlGUcPEuu++yOyyYONJZpyvS3loxize25lHiOkyZTQKeHghhsiOo+4M0vTjW24KVRBYb6Qejae7kEhh2BxF2+ep4ZdpwutnkLq07d6mxl/hCvcYy8l27ABrLSAghxBh++Z/4rl1mzbp2LcxsMR18zBYTeif0XcC9Hs9iI55lYiMH2uHiCmsbwXIxg4/iy0zMJADfGuuhxK7H0OZ14qWhTrx3d/XLmAQZb0Xn8U/bR+G1NN7XDq/WYxnV2E8oxjJq2ExBEiVUy+y+hTp3ET3T9xM/Qgipodf+20fMa0/Ahc5Bbave5+6wIxlbeoLwNukzsaFSFXFznu1WFWhyom+ouU5XVFtFsYpfb87umNh1ur8Nz1Fi1yMTBAHPDLDfWwWpisuprV3eYWxWq1lxkJHb4cBBTyQuuUurzl38SEaL1Qynx6HJWoQQQkitfPiLi0xnSpPZhIFDvQ95x5O5c32Vee32O9E9pv+uXVPLUWS5BJUDxxu3YGQul8Srm7OKxK6gy4b//dF+HOhsosSux2ASBLw81gUb94D/08SaIUaMPC5+xLuRxjJWy2whW606lBdzbEGaIAhw++iAhhBCiL6tL0TxCde1a/CINl27JEnG/B32OWzXaAg2h7JAVS9kWcble+wYSYfTiqFJ/e9/Hle8UsRbkXlIXPyFwQ50BfR5dqRnI21+HOliz7AKUhVvRuZQkfjPcuPhn+sbYcvEJ3dpNQEFUHbtAgBPkL7PiH5RchchhACYv7WKG2dnmNjw8X7NEhoAIBXPIb7FVpr067lr10oMxQr7cPbgyR5NP0d6ka2W8crGPayV2M4IJgF4ebQTR3ta6EDmMXUF3Qg3sa2Pr6a3kKkqOzkZnSAIitGMeZ0fyig6d2n09c137vK3eOh7iRBCiKFJkoT3f/I5E+sZ7YDdpW5FcHQjjdgWO9Zw5FSf7rt25UsV3FxgC0aa29zoGWiq0xVp62Y6irciCxC5J+ghrxP/5HA/mtyU1P4kfA4bnuEKsWKVIu7mEru8w7hcHj65yzj7pUqRfX5QqwTObDLPvG7u8NcssYwQQgh5Uq/8p/eY53Fmqxkjx7Xp2rWxkkCBeyY3cKhbk7XUsrSVRjxTYGJjhztq1hm0VgpiFa9HZlGW2cKQo93NGG8P1umqjO90Xxt6uISdSKWAD+NLDVkgsp1yLKP+/71SDccy7pTcRYUhRM8a67ceIYQ8Ib5rl91lQ3hC27Egc1x1jN1lQ8dgq6ZrPqlyVcStxSgTC3X50BJq/LnksXIBv1ifQbxSZOJWswnfOdCLkVCgPhfWAJ4aCGH7bbkoyzifWK/b9WiJT+7Se8W9zFUtada5i3uQ5Gtu/J8phBBCGtvNs/ewtRxnYv2HelRfZ5rr2uX02tEz1q76Omq7OruJKleFe+hkT8Mld8uyjM8S6/gwvgL+0Xm4yYPfOxSGg5JN9mQkFFCMpPk8uQFRbqzqez65K1swRnKXLMsoc92KrbbaJHflUmxyV1tPYyaPEkIIaRxrcxF88irXtetwr+oFIl+Ym2aniQRCPgRC+h1vLUkyrs6xXbs8PjvCDTZRRJQlvBmdQ5orfu5v9uJ0uK1OV9UYTIKAb452w+9kv6fu5BO4lY3V6apqg99qGyG5S6zhWEY+ucvptlNhCNE1Su4ihOx7yUgG59+6zsSGjoRhtmj3C7xcqmJplq1YDx/o1PQmZS9uL0VRrrLVIhNHtE1+04PlQga/XJ9BVmRv8Fw2C/7J4T50BykRZS+CLjsmOtiKo7u5BHJVfSc+PQmni21rnjfYWEZTjcYy+nQ6lpYQQgh5VL/5h8+Y1/4WL5ra/aquEY9msbWWYmLDx8O63Ut8IZrOY3ad7awUHmpGoNlVpyvShijLeD+6hEupTcWfjbUH8K3JHlh1/t/KCEyCgNP97CFXulrGrUxjHc64PWwCGz/SVK+qZRF8ZmO9OneFehvr4JcQQkjjeeW7bNcui9WMkRPadO3KpouKvUT/If1OEwGA2fUE0lyB6MTRTs2eV9bLh/EVrHOTQ1o9Dnx9pKvhimHqwW4x43fHlXuxjxMr2OQ+742EL9qW9J/bpRzLWMPOXe5AYz2fII2HniYRQva9Mz+/AHFbm0+zxYSBw+pX12+3OLPFrCkIAvoO6HMTVapUcXuJ7drV2RtouEMY3nQ2jtc2Z1HmKr8DThv+8EgfWjw0QkUNJ8KtsGzbYMgA7uTiu7/BoOxO9iCjVBF3+Uh9UBTwaPQAgd+o2R3aVCQSQgghtRDfTOPS+7eZWP8h9btS3bnGdu2yu2wIH9B34YUsy7h4l+3QarGaMHFU39f9uGRZxm8ii5jeYTzgiXArXhzu0Gzc9X4UbvKgnRuZcTG5ibKk73vtx8F37iqWq4rud3q003iTWiV35VLsyKY2Su4ihBCiY2tzEZz99VUmNngkDLtTm2dk83fYAgSr3YLu0dAuH11/VVHC9Xmu01izC529gfpckEbu5OK4nWOLFNw2C353ggpD1BR02fHyMLsHlSDjreg8CmJ1l3cZm2Iso6K3tP7wZwbadu5iE0c9fhrJSPStNrtqQgjRKUmU8N5PPmdi3aMdsGmYYCBJMu7dZtsIdwy1wuXTZ7LQ1FIUFe5mavxwR52uRnuyLONCahMXkhuKPwv5nPj2ZA+cVvr1qRanzYLBVj/ubCa/jE1lYjjqa2uoiiQbN4KkVNXuwKlUKuKd3/yMif3ON/4p7PbH+BnDZXdp9V9C0SHMQg8rCCGEGNeZn19gHkKaLWb0jql735xK5LG+zCYODR3r1bTrsBoWt1KIcKPSRg92wOG07vIOYzqXWMO9fJKJCQCeH+5QdKwleycIAk73h/CP1xa+jBWkKq6lIzgZ0P+Y0kfhciufTeSKZfjd2jw/UGUvAaDCJXcJggBzje71+bGMoV4ay0gIIUS/Xvveh4quXcPH+zRZS6xKWLzHThPpnezU9V7izkoM+RKbdDN5rLOhnhvHK0WciS8zMYtJwHcmeuG2NdZ+SQ8GWnw43NWMa6sPkumyYgXvxhbwe62DDVeMw/97tJ5ir8Z+QpHcZardWEYPde4iOken04SQfe36J3cRXWUPRwYOadu1a30pjkKOzQYfPKrtmk+qWK5iepmtGOnuC8IXbMzsdVGWcCa2gumssnPUQIsXL492wUKVMqobbw8wyV2pahlrxSy6nN76XZTKrDb2IUlZw85d5XIRr7/5d0zspRd+/7EPZBga7WllLrlLzw+TCCGEkIeRRAkf/JQtGukZ64DVru7D+DvX2a5dVrsFfTofoyKKEi7fYwsn3B4bBsdb63RF2riejuBqmj0ss5gEfGO8G33NjXNfqzcdfhfCTR4sxrNfxq6ktnDA2wKn2fiPPS1WM2x2C8rbDjWzxYpmyV1q7SX4QxKb3VKTQ1hJlJDPsJ27aCwjIYQQvUpGM/j4lctMbPBIr2Zdu5bno8w9BQD0H9TvXqJcEXFzgb2/bu3woq3DV6crUl9FkvB2dB5VLuPmxaFOmhyioaf62rCVKWA9/aAoYLmYwYXUBk4HGquxAX8LrnXnLjX2E2IdxzJSchfROzqhJoTsa+/9+Dzz2t/qRTDk13TNe1PswUYw5ENTh7ZrPqlbixF25IMAjDVo166qJOGNrfkdE7sOdTXhm+PdlNilkZDPiaCLfWgxtcN/ByPjR5CUNezcZSSSxG/U6HuMEEKIMV398A6ia0kmNnBQ3QKObLqIlQW28GLwaA+sNn0nsNxejiHHPTCdPN7VUL/35/IpfBxnE+9MAvDtyR5K7KqBU/1tzOuKLOFWJlqnq1EfP5oxVyjv8pH6UeEOjm322hRx5DMF8OdVbT3UuYsQQog+vfujT1HdVgBqMgsYOtqn2Xpz0+x4w7beJniC+k1kuLUUUTxDnWygse6yLOOjxDLilSITHw8FMNKmz/OiRmESBPzOWDdc3ISWi+kNLBfTdboqbQgmNjFKko0wlpGb9qHpWEYuucuv35+JhACU3EUI2ceS0QwufzDNxAYO9mhaTRqPZhHbyjCxwaParvmkCqUK7qywh0c9/U3w+huvYuSLxK6lAvvfRgDw3GA7nhls1+V/o0YhCALG2tkxNbO5JIoNNOfepujcpe9/G7/HEzRq3aXs3EW3poQQQozp9f/+EfM60OZDsF3dB/J3bqwySQsWqxkDR/TZAfgLhXIVNxe2mFhzyIPO3kB9LkgDG6Uc3o0sKOIvDneiO+ip/QXtQ81uB4a5A7CpTMwQBxePws0ld2W5Awg94g9JapWEmkuxXbvcficd0BBCCNGlcqmCd//+MybWO9YJh9uuyXqJaBbJWI6J9R/u1mQtNew0UaQrHECwxV2nK1Lf1cwWpnNsgXOzy47nBhpjvLjeuWwWfHOsS/HU+5PEasPsIwAozrWM8E+TuKROk0nDzl0FvnNXY04tIo2DTtAIIfvWZ69fZ2Y3my1m9IxpW/kxy3Xtcrjt6Bxu2+Wj6+vmYgTitsQLoUG7dlUkCa9vzWG5yCZ2WUwCvjXZgwNdVOVbCyMhP7bfo4uQcTeX2P0NBmPlKtXLVUnnm8TaXJss164KhxBCCNHK7I0VTJ2fY2KDR3pVXSOfLWHpHtuJqP9QN2wOdcc+qu3a3CYq3EiFgye6G6ZwIlUp4Y3NeVS5e5oT4VaMtgfqc1H71EFu35YRK1jmineMiu/clTVA565yke/cVZvkrnyaTe5q7Qru8pGEEEJIfX362jVkEmyy1fCxPs3Wm7/LFlw4vQ6097dott5e7TRRZPxI43TtWiikcC65xsSsZhO+OUbTQ2qp0+/GU30hJhavFDGTb5xzCcVYRl2fSdwncp27tOz6XcyxnfP8LdR5m+gb/YYghOxbn7zKzrPvHGqDVcMHjoVcGSvzbLXJwOFuXSYz5IoV3F1lq0Z6B5vh8WpTOVQvXyR2rRSzTNxmNuH3D4VphEoNOa0W9Lf4mNhUJmaIzcajsO1QqV4x0mhGjc5fJercRQghpAG8/j22a5fDbUfPqLoHD3dvrjH3RSazCYPH9N21K5Et4p5iT9GEYHNjdNEpiFX8enMOBYlNYhkLBXC8V78HZY2q1eNAi4ftMt0ooxldXAePbFH/yV2VElsBX6/krhZK7iKEEKJDsizjzb89y8Taepvh0yipoFoRsTLH3heFJzsU49r0olCuKiaK9A40zkSRWLmAd6ILivjLw50Iuhrr/MUIDnU1oYn7vJ9PrkOUpV3eYSxG7NwlcwViWp6hFrIl5nWwzbfLRxKiD3SCRgjZl9YXopi9vsLEerXu2nV7XXEg03ewS9M1n9TNhS0m6UIwCRg71FjtgCuSiNe35rC6Q2LX7x0KI+RrjEMnIxnnuhvEKkVEyoWdP9hgdkocLVf0m9xVq00eP5ZRj8muhBBCyMNEVuI4/9YNJjZ0JKxqwnKxUMbCDFtpHz6g3cgWNciyjEsz60wvULPFhImjjVFt/8VY91SVfRDcHXTj+eGOhulMZiSCIGCCG/W+UEgjW9V/ItRX4Tt35Qo0lnE3+Qxbed/SEajJuoQQQsjjuHNxAYu32a5Ng0fCmq23Mh9Dtcp2wQpP6ve+/NbClmKiyOihxpgoUhAreD0yhwqXOHQq3IqBFkoqqQeTIOB0mJ2ukxHLuMONzDQqPolT39NE7hP55C6NElFlWUYxx+7pm0L0fUj0jU7QCCH70tlXrzCv7U4b2sLNmq1XKVcxd4c9kOmd6IDNqb8xKtlCGffW2LazfUPNcHn0e3j0uMqSiNc2d0jsstxP7Grz0lzteugKuOHlRgvNNMhoRrNZUGxCSgbq3KXV8SSf3EWduwghhBjNm397lh31bjWj/5C6HbXu3VqHJLKFF8PHtTv8UcNaLIv1OHuvPTwZgtNl2+UdxiHLMn4TXcJGiR2j0+y243fGu2HWaQeE/WCozQfrtmIBGcDtrPEPZfjkrmKlyo4p0qGKTsYytnQFarIuIYQQ8jje+gHbtcvtd6FjoFWz9fiRjKG+Fji9+uyClS2UcWelMSeKiLKEN6PzyIhs8cFwqx/Huqnzbz2Fmzxo97FnQrP5ZH0uRmU71R3pfVqKpOjcpc0eu1ysKNYKUnIX0Tk6QSOE7DuyLCuSu7pH22Eyafcjcf7uFqpcl56hY72arbcXNxa2mOx9k0nAaAN17foisWuNO4yxW0z4/YOU2FVPgiBguM3PxO7lkrrfbDwKQRBgtZuZmJ47dylad2l0RqlM7jLv8pGEEEKI/hTzZZz52QUm1n+gGzaHegUc5VIVc9ObTKx3vAMunz4PY4D7lcCX760zMYfTiuGJtl3eYSwXU5uKB/1umwW/e6AXNrqXqSubxYyhVvZh/J2GSO5SHmZmC/ruSMZ37qpZcleGS+7qpLGMhBBC9CW6lsCFd28xscEjvZp1fk3Fc0hE2aKLvgP67dp1bW6TOZsQTAJGDxr/bEKWZZyJL2OdO5MIeZ14iTr/1p0gCDjY0cTEVotZVCR9F1Q8ip3Gr+r9uEXip31odHbLd+0CgIBG43EJUQsldxFC9p3Z6yvYWGRntvdoOJJREiXcm9pgYh1DrfAE9Tf2L1MoY3ad7ZTUP9rSEBX2wP3xKa9vzik2UXaLGb9/KIxWSuyqu0HuMCYrVrBZytfpatRl40aRlPSc3KWgzQMGiWtBbqaxjIQQQgzk/Fs3UNj+MFAAho6q21Fr7s6mYoTK8Al9d+1a2EgiyT0knTjWCYvV+IlPc7kkPk+yezub2YTvHOyFx66/rsz70Rg3mjFVLSNj8NGMFosJVhv7/aP3vYRY5e7za9ChV5ZkFDLsz56WzoDm6xJCCCGP492//0zR+bdvskuz9fiuXQ63HaF+7SaY7EU8U8DcRpKJDYy2wN0AXbuuZrYwzY35c9ss+PZ4DywaNh0gj64n6GGegIuQsVrK1O161LJT4qDei+n5blpmjTp3FbLsSHdfsweWGo2TJ+RJ0W8MQsi+w3ftcvtdaGr37/LRe7c8H0Mxz7Xa1ekYlRvzW0zWvtksYOSA8StjgPsdBN6OLCg6djl+m9jV4qHELj1octkRcLLJhPcapAUyfyBTNtJYxhp17jLRWEZCCCEGcubnbNeu9r5WuP3qFXCIooRZrkika7hNl0UiXxAlCVfn2E5jvqATvQNNu7zDOGLlAn4TXWJiAoBvjnej2a3fTmr7TZvXATt3T7lWzO7y0cZhtL2EYpRKDQ4tC7mi4qCqpYs6dxFCCNGPcrGC93/yORMLT3TBqlGRQLUqYnkuysR6Jztq8nv5SVyZZfc+FqupIbp2LRRSOJdcY2IWk4DvTPTCRYkkumG3mNHuY/fai4V0na5GPTs07mK64+kRv5cQtOrclWULQ4JtNJKR6J8+f4MTQohGxKqIc69fY2I9Y9q1vZVlGTO32JEkzZ1+NHVol0z2pNL5EuY2+K5drXA4jV+BLssy3o8uYYG7GXdYzfj9w2G0eOgwRi8EQVB072qU0Yw2fiyjjg9kavXp5lssm83G7+hBCCFkf1hfiGL6wjwTU7vifnkuihI32kzvXbtmVuPIcdc8ebTT8GNGimIVb2zNo8J1HX1qIISeJk+drorsRBAEdPjdTGyVkrtqTpb45C7tfwbk02zlvc1hha/JvctHE0IIIbX3yatXkE2yEwqGjvRqtt7qQhyVMnvPEJ7U50jG9XgWazH2nm1kMgS7iiPv6yFWLuCd6IIi/vWRLjqT0KEwt7dbLKQNfy6xY+euOlzH46hX566mECV3Ef2j5C5CyL5y49w9pLlNQu9Yh2brba4mkU5wGzaddu26znftspgwMhmq3wWpRJZlfBxfxZ0cm7hmM5vwewfDVGWvQ3xyV06sKEZpGpGVq8Qq63yUSi3wnbtoLCMhhBCj+OiXF5nXNqcVHQNtqv39OxWJtPQEEdBxJWmlKuLGfISJNbe5EerS7zU/ii86AKe50X4jIT8OdRm/I1kj6gywFfcNmdyl870EX8RRm+SuAvO6pTNg+MRSQgghjUOWZbz1g7NMLNTXAq+GhQIL3EjGtt4muP36m14hyzKu3GO7dtmdFgyOq7e/qoe8WMHrkTlFgcjpcBsGWoy9R2pUvUH2+zEjlpGoFnf5aGMQdrgP13vCmiTyewltzgwKOa5zFyV3EQOgEzRCyL7y3o/PM68DbT7NNlCyLGP62ioT8wRdaB9o0WS9vUhki5hXzLNvhd3gXbtkWcaniXXcyLDtpy0mAb97oJeqY3Sqye1A0GVnYgt547dAthmp2p7b4Gl1KCLxFf00lpEQQogBSKKED395iYn1jnXCpGKS8uZqEpkkm6gwfEy7qn41TC1FUaxUmdjE0S7DJ1ecS6xhhUsOavM68MKwdh2gyd50cp270tUyMlxyntEYrXOX4kBGo2r77fIZ9mdmc0dA8zUJIYSQR3X78zks32ETmIaOaFcEnk4WENvKMLHwQXU7DatlcSuFGPd7fPxwByxW43b4F2UJb0XnkRG5ApFWP452N9fpqshXaXLZ4bGzBdpGH82405ZV0ndul3LEu0Z7iSLXuYvGMhIjoBM0Qsi+EV1L4NJ7U0wsrPLolO0i62nEI+whwPCJsC4PAK7ObjKvLVYThhuga9eF5AaupNkKJZMAfHOiGx1+1y7vInrQ3+JlXvMjNY2Ir5LRc4FMrS6N36jZuM0zIYQQokfXPr6LxCZ7b9J3oFvVNfiuXd4mN9r69HsIUChVMLXEFlSEunxoCRl7ZOHtTAzX0mw3MpfNgm9N9MCiUfUw2btmtx12rmhgzeDdu2x8F2DdJ3ex9/k7dQxQGz+WsaUroPmahBBCyKN662/Zrl2egAuhPu2KwBfuss/77S4rOnRYdC5JsuJswuOzIzykv2t9VLIs40x8WTGJIuR14kUqENE1QRDQG2TPJYyf3GXEzl38iHeNOndlqXMXMR56EkUI2Tfe+/F5ZgSYxWpGeFy75K7payvMa6fXgZ6xds3We1KRVB4rUfYGdWgiBLvD2EkWl1ObuJBiN4YCgJfHuhBu8u78JqIbvVxHvUSliHSltMtHGwO/j5I1SqESBAEej5/5n14fGkhVdqNmpeQuQgghBnDm5xeY18GQD/4W9e4vE7EcIuvc/fnxXt3+PgeAGwsRVLkHsAeO6bMzwKPaKOZwJsbu6UyCgG9NdMNtN3aH40YnCAI6uO5dRh/NWKvOXWrtJfjx61odyGzHd+5q6QxqviYhhBDyKCKrCVzkis4Hj2hXBC6KEpZm2cKL3nF1Ow2rZWYtjkyB7W41cbSzJiOdtXI9E8F0Ls7EPHYrvj1OBSJGwI9mXC9lUZL0XVjxMLVO7lJjP1GrLsBFPrmLOncRA6ATNELIvlApVfH+Tz5nYr3jnZolEkQ20ohusm2PR06GdbeB2mmevc1uwdCEsefZ30hH8WliXRF/abQTQ63+OlwReVxtXiccVjOKlQcbp8VCBget9oe8S+8U2V2a8Hj8+Is/+8ne/hLu2rQ6Sxa5Q2CLjW5NCSGE6Fs6lsWl928zsfCkul277t1aY17bXTZ0j+qvSOQLmXwJd1djTKx3sAm+oLNOV7R3uWoFb0bmIXE3RS8OdyDkow7ARtDpd2Eh9mBP3nDJXRVtDphU2Utgh/HrNencxSZ3tXZRchchhBB9eP8nXNG5zYzwhHaFEGuLcZRL7Lj08IFOzdZ7UpWqiOtz7NSNYIsLnb2B+lyQCtZLWZxLrjIxi0nA7473wEXPPQ2hO+CGSRAg/TYBSgKwUsxg0BWo63U9qVqPZdzrfkKWZEXymVmDpEhJklDMs8ldTSE6OyT6p68sA0II0cj5t24gHWfb4A4e7tVsPUXXLo8dvRP620Ctx7PYTLKfl9GDIVgNPM9+IZ/Cx/EVRfyFoQ6MhgK1vyDyREyCgB6uSsb4LZDZ15KO2x9r1VWMpxjLSA85CCGE6Nwnr16BuC2pwmQ2oWe0Q7W/P58tYWWeTZQaONIDs0W/j2+uzm0y46ZNJgHjh/W393lUkizj3egi8iJ7IHawqwmj7YH6XBR5bJ0BtnNXulpGplre5aP1T9m5S9rlI/VBUW2vcXKXLMuKsYzNHQFN1ySEEEIeRbUi4szPLzKx8ESXpt3r5++w0yxauoPwBPVXoHB7KYpihb3nPnC8S9cdix8mL1bwdnQB/F3aN0a70eJx1OWayOOzmk3o8rPfLwuFVJ2uZu92Go+u57GMfDE4oE3nrlJeuTeksYzECPT7dJAQQlT0zt+dY163dAfhU3F0ynaxzYxijMrwybDuDmRkWcYVbp6902VF/2hrna5o7yKlPN6OLCrSUp4ZCGGCRjIYTpgbzbhSzKAi6fsQ42EM9WCiRvs7UTGWkUYcEUII0S9ZlnHmF+zBTNdwCDaHer+/Zm9vMIlSZosJ/Yf0O94wli5gYZN90D0w1gqXx1anK9q7y6lNRZenroAbTw+E6nRF5Ek0u+2wc3vwNQN37+KTuyoajWVUS607d5WLFYjc56S1K6DpmoQQQsijuPTeFJIRdsJH/8EezdZLRLOKiSJ9OuzaVa6ImFpmR0e2d/vQEtLmzEZroizj7egCcmKFiR/raUF/szH/TfsZP5rRyF2Aaz2Wca/4YnBAmxHv+QxbGGK2muHVYRIsITx9ZRoQQogG5m+tYubKEhMbPBzWbL3bXNcuh9uG8KT+NlBLW2nEM+zYgrHDHTDrbHTko8pWy3h9ax5Vmb35O97bgkPdzXW6KrIX3UEPM8hQlGVDb6QUUxn1u4dS0igxTaryYxmN2zWQEEJI45u7uYrlO+xI8z4VRzJWylXM32XHkvROdqqaPKa2K7Ps58NqNWP0oH5HSH6VtWIWnyfZf5PbZsE3x7tgMlKiPoEgCOjws927jLyX4DvcljQay6gGWZIVxSJaHMhsx49kFEwCgjRWhRBCiA68/5PzzOvmjgD8GhWdA8DMrXXmtcNtQ8dQm2brPalbixFUuOeCE0f1W9TyVT5NrmKtxBWI+F042WvcQvr9rIvrApwRjdsFeKdtrJ7PJXZM7tKgc1culWdet3YGNN+zEKIG+iolhDS8d//uU+a1w21H56A2G5p4JIutNbZyffhEGGaLvhIWJEnG1Tm2a5fHZ0fvoDGToMqSiNe35hWVMcNtfpwI0wbKqBxWM0I+JxMz8mhGfgtSq9GHT4Lf4Gl1lMm3WbZR5y5CCCE69sFPP2deu3wOtPY0qfb3z9/dQnV7woYADB3Vrqp/r9ZiGazH2QOMkYMh2DQcMaOlgljFO1wXYAHAN8a74bAa89+033Vy41Soc1dt8F27AG0OZLbjK++bQj5YrPp6DkMIIWT/2VqO4/onM0ys/5B29/f5bAmrC9yI98P6G/GeLZQVXbu6wgH4g85d3qFvd3NxXMtEmJjHbsE3x7qpQMSgmlx22LgmCBulXJ2uZm927NxVh+t4VPykDwCaNKTIpdjikDYVn+0QoiV9/UYnhBCV5TNFnP31VSY2cKgHJo26U01zXbvsLivCB/RXcTK3kUA6X2JiE0c6NR+VoAVJlvFuZBHRMnsz1uFz4aWRDmONwiMK4Sa2km0xn9J12+CH4efb6/ufUZuLk0T2UMpq0MNgQgghjS+fKeCTV68wsfBEl2r3mpIkYXaK7RjVOdQGd0CfYwHuj3hnr9fhtGJgTH9dAR6FLMt4L7qkKBY52deKDr8+/xuQr9bJVdynqmVkDVpxr0juEiVIkj43FJKovC5+L6Q2vnNXS1dQ0/UIIYSQR/E+VxxitVvQPaJdl9t7/Ih3qxl9OhzxfvneBnMfIwjA+BH9TT55FLFyAR/El5mYSRDwrbEeOKlAxLAEQUCHj90HrpeMWyiirDrX5z4C2K1zlxbJXWznrrYeYza+IPsP/WYhhDS0829dR7n44AG9YBLQd0C90SnbJaJZbKwkmdjQ8bDuqkWrooRrXNeuQJMTneFAfS5oj84l1rDAdXPyOWz41mQ3zNRG1fB6mzw4v/BgPFFGrCBRKaHJ5qjjVT2ZWu2hyuUSzn36NhN75ulvwWazP/lfqsFZjCzLikocSu4ihBCiVx/87AJK+QdJIYIgoO+AelX3K/MxFPJs0snQsV7V/n61LWymEOc65Ywf6YBFZ10BHtXl1JaiQ2xXwI2jPS11uiKihma3HXaLCaVt95zrpRyGLbY6XtWT4ZO7AKAiirCb1L1/VmMvseOBjMZFV4rkro6ApusRQgghX6VaEXHm5xeYWO94l2YTPirlKha4Ee/hyQ7djXjfSuawuMVOPukfbYXXb7xnvSWpijeic6jK7L3P84PtaPMaswsZeaDd58Ji4kFC15pBO3cB9x/tbz+K0DK1a6/7CX4vIQjQpCkFn9wV6qXOXcQY6ASNENLQPvrlZeZ1e18rnB5tNgrT11aZ1zanFf2HtEkk24s7KzHkS1UmNnFMva4DtXQjHcW1NNvy2G4x4zsHemh0SoNoctvhtlmQKz/4ml0opA2Z3KUccK/NNqpUKuDHP/suEzt+7IU9JXdp8dNB3qHTgNVG37eEEEL0R6yKeOtvzzKxzsE2uLzq3I/IsoyZW+tMrKnTj6YOvyp/v9pESVKOePcbd8T7aiGD80n28++0mvH1MWPukcgDgiCg1evESuLBQUy8XATcD3mTTtXqa1GNvcSOo1Q0TvzkxzK2dlPnLkIIIfV16b0ppKJsp5+Bg9qdFew04n3wqL6KRWRZxsUZ9r7bajNj7FBHna7oycmyjN9EF5HmusKOhwKYaKf7kEbAd+6KVQooSSLsJn01c3gUgiAw01C0bNy11/0Ev5fQagoTP5axtZuSu4gxGLOkkhBCHsHmYgzTF+eZWHhCm/a+yVgO68sJJjZ0rFd3XbtKlSpuLrAVPK3tXrR1eHd5h34tFdL4OM6OwTQJwLcmuhFw7aFDEdEVQRAQblaOZjQi/jxGx92Pd7g29Q+TxB0q+qlzFyGEED36/J2biK4lmdjw8T7V/v7IehqpOFs1OnQsrNrfr7aZ1TiyBfYQY/JolyFHvOeqFbwdWWRS7gUA3xjvhouSzhtCE7c3jFeKu3ykvu08ml6f33NiVVTELBp1KfmConNXJx2qEkIIqa/3f3Keed3cGYCvRZtn8LuOePfrq3vU/EYSMe539tjhDtgdxrvvvpGNYqHIdv5t8zjw/KB2YzdJbbV6HYrusxtG7d6l2Dbo92CC79xl1iC5SxIlFLjikLYeSu4ixkDJXYSQhvXRry4xr20OKzoG2jRZa/oam2Rkc1gxcFh/XbtuLkRQ5jLfJ491Gq4iPVMt4x3uEAYAXhzpRGfAgGXY5KF6mzzM6/VSDiVJeWCgf+z3mazjTZSCBj8ipB0q+q12fbWKJ4QQQmRZxuvf+5iJNbX70aTiyC++a5c74ETHgD7HAVaqIm7Ms51zm1rd6OjRZ5exh5FkGe9GF1GQ2K7GJ/pa0UV7iobR5GY77MXLxkzu2mnroNddPNM1BPfHqAgaJ3/yyV2tXZTcRQghpH62luO4/skME+s/qN5Id97qQlz3I94rooQrs2wCmsdnx8Boa52u6MmlKiV8mlxjYg6rGd8a74HZRMfujcJiMqGN69a9Xsru8tH6xp//6bnonE/uMpnV30fkMwVFjDr/EqOg3zKEkIYkSRI+eoUdydgz1qFJC89UPIe1JbZr1+CxXlh0VumdK5YxvRJjYl19QQRbjHVwIcoy3oksKJJ7jvW2YDQUqM9FEU11Bdwwb9uAyACWC5n6XdATErgfP3reRNXi4kRRmaBHYxkJIYTozcyVRcxeX2Ziw8f6VCuOSCfy2FxNMrGho72aJ0I8qamlKIoVNhlq0qAj3j9PbmC1yD6c7wl6cKxHn4l15Mk0udnOXalqCVVJWWSgdzvenev0207kkru0HslYKVdRLlaYWAsldxFCCKmj93/6OfPaarege0Sbjk6yLOPuTTbRqKlDfyPepxYjyJfYfcSBE92G6/4ryzLejy+hKrP3k98c7YKHilYbDj+acd2gnbv47zI9H0vwYxm16NzFj2R0eR3w+F27fDQh+kLJXYSQhjR1fg7RVTbhKjzRpcla09dWmddWu0WXXbuuzW1Bkh7ctgkCMHHEePPszyfWsVFix9b0t3hxMmy8Kh/yaKxmEzoD7M21EUczCorOXfsbv1EDKLmLEEKI/rz+39muXS6vA53DIdX+/pkptmuXzWFFz4Q+79ELpQqmlqJMrL3bh5aQZ5d36NdyIYNLqU0m5rFb8PUx43U1Jg8X5MYyygASRhzNuEPxhV6/UvnkrlqPZASAls6ApmsSQgghu6lWRJz5+QUm1jveBbNGvw+jGzuMeD+ur65duWIFtxbZ7r+tHV60d/nqdEVP7mY2ijWue9NkexDdAePtichXa+eSuzbLOYiy8QpF+I3DziPf9UHRuUuDbniKrr/dNJKRGAcldxFCGtK7f/cp89rX7EGgTf3NQiqRx+pinIkNHuuF1a6vBIVEtoi5dTbZrX+kFR6fY5d36NNSIY0r6S0m5nNY8dIIHcI0ut4mL/N6uZjV9SZkR4oSGf1eP/+51eL7q1pmq/VMZhMsNm0PfgghhJDHsbkUw4V3bzGxwaNh1R4uFvNlLM+yyVL9h7tgserz9+H1+S1Utz9oFe537TKaXLWCdyOLTMwkAN8c74bDqq99HNk7q9kEr4PtohA3YHLXTlsHve6Bq3y1vcadu/jDmUCrFzYHdc4ghBBSH5fem0Iqyib/DBzUrhBcMeLd70THgL6KoK/MbkDcVnQOATh4olu39zK7SVdLOMeNY/TarXiqr61OV0S01u5lk7tEWUakrCws0Dsjfa+JNRjLyHfuaqORjMRAKLmLENJwYutJXPzNFBPrO6DNZmH62grz2mq3YPBIj+rr7NWVextMlyCzxYTRQ9q0gtZKrlrBbyJLTMwkCPjmeDfsGlcCk/rrDrLjQ3NiBclqqU5X84RqkDCllu1d/gBo0iK9mGP/+/lbPLr+nBBCCNl/3vrBWcjbfidabGb0H1DvYGZ2epP5nWsym9B/SH8dgAEglSthZo0tagkPNsMXcNbpip6MJMt4N7qIgsQmmZ/uDyHkozEMjaqJ694VLxswuaveF/AYaj2WkU/uoq5dhBBC6un9n5xnXjd3BuBr8e7y0XuTThawsZJkYoPHenQ14j2aymN+I8nE+oZb4A8aax8hyzLejynHMb403AEbnU00LIfVrOgEvM51bjMiHdecQ6rFWMY02+2wtYc6dxHjoOQuQkjDee/H55nWnWarWZORjKlEHqsLXNeuoz2669q1mchiNZZhYsOTITicxqlklWQZv9nhEObpgTa0eo21ESRPJuC0wcWN7FsvGmvGvZ43TTyZS+7S4qEQn9wVaNXmQRchhBDyJHLpgmKcSt+Bbljt6txDV6si5u+wYwF7xtrhcNt3eUd9XZndYO5lzGYB4wYc8X4xuYHVIvswPtzkwaEuepjbyJq47ysjdu7acSyjfs5tGbUey5hTjFWhyntCCCH1sbUcx/VPZphY/0HtCsHvcV27rA4Leic6NVvvccmyjIsz7DVarCZMHDbePuJWNoZVLqlngsYx7gsdXBHQeslYZxKAsshc1nHpiGIsowbJXXmuc1drF+0fiHFQchchpKFUSlW895PPmVjveKcmLfl36to1oLOuXbIs4/K9DSZmd1gwNGGsVsGXU1tY2eEQ5kAnHcLsF4IgoMPPzbgv5Xf5aGPQ62EMsNNsew2Su/Jl5nVAoypGQggh5El88NPPUcxt+10lAENHwqr9/Yv3IiiX2MKFwWP62kt8YSuZw3IkzcQGJ9rgdNnqdEVPZqWQwYUUm1DnsVvwtdEu6h7a4Phq+0TFYB2AsXPnLkEx910fqtVad+5ik/VaOulwhhBCSH28/1P2XMJqt6B7RJvpGcVCGUuzESbWf6hbVyPel7bSiKTY57ejBztgN1DROfDFOMZVJuaxW/A0jWPcFzp8bHOB9VIWspGquKE8h9Dz5fNjGc1ajGVM82MZ6ZyRGAcldxFCGsr5t24gHWOTgAYP96q+zm5du7RIItuLpa00otyNytihDlh1tMn7KuvFLD5PshU+bpsFXxvtpEOYfaaN69K2abAqGX7Tp9fDGKA+YxkDbZTcRQghRB+qFRFv/eAsE+sebofbr87YPlmSce8WW4AR6muGr1l/Vd87FYvY7GaMTBprxHterODd6CITEwB8Y6wbDgPtjciT8TvZRMR0tQRRzycaO9k5u0uXlJ27ajuWkSrvCSGE1EO1Iio6//aOd8GsUQfL2dv8iHcBA4f1M+JdkmRcnWMLK9weGwbHW+t0RU9GlmWciS+jwo9jHOqkcYz7RDvXuasoiUhWDVYsotN9w074sYxqd+6qVqoocUXnrT20fyDGQcldhJCG8s7fnWNet3QH4degG4wRunZJkowrs+xBjNtrR99IS52u6PEVxSreiSwyz7EFAN8Y74LDqq/xl0R7Ia5KJlYpoiyJu3y0/ijOj3S8qarHWMZgq0/1NQghhJAncf6tG4itp5jY8LE+1f7+9eUEchm208zQcfULUtSwHFFW248d6oDVZpyDDEmW8W5kEXmR7ZR2qr8N7Sol7BF9CzjZzl0y7id4GclO3QH0up0QK1y1vcYHn4rkLhrLSAghpA4uv38bqShbdD5wUJtkq0q5irlp9rl/t85GvM+uJ5DOs/dbk8e6YNZgxJqW7uYTWC5mmNh4KICeoP4Kc4g2vHYr3Db2LGrDYEXnfJG5njuPiXwXYJV/ZhSyyn1gK3X+JQZirN+ihBDyEHM3VzBzZYmJDR5Wb3TKF9JJY3TturcWR6bAZqBPHu3UpAOPFmRZxpnYMrJihYmfCLeiw++u01WRemrxOMB/+W4ZeDSjnr8TazKWkUvu8rdS5y5CCCH1J8sy3vibj5lYc0cATR0B1daYucV2pfW3etCiw2SEHYtFPDb0G6hYBAAupzYVI957gm4c6W6u0xWRWrNbzYoObUkDjmY0ilqOZaxWRJS45x40lpEQQkg9fPAztmtXc0cAPg2KzgFgbnoTlTL7+3bomH6KRaqihOvzbNeuQJMTneFAfS7oCRXEKj5JsOMY3TYLnu4P1emKSD0IgqCYKBIpG/dMQu/KRbYoy2pTt8kD37XL7rLpKjGWkK9CyV2EkIbxzo8+ZV47PXZ0Dqo/9/zujTXmtcWmv65doijhxkKEiQVbXIbaQN3LJTGbZzsmdPpdONprrMMkoh6LyYRmj4OJbRgouUsxllHHY0X5zl0mDa5V2bmLkrsIIYTU3/SFeczdYLv0Dh/vU+3vj0cyiG2xld9Dx3p1eV9wby2ONPfgc+Jop+pjEbS0Wszi8ySboOayWfDyaJcuP+dEOwFuNKPRkrt2Kq7X69dwLccy8l27AKCFxjISQgipsfhGCtc+vsPE+jTq2lWtirg3xRaLdAy26mrE+52VGPIlNkFj8pjx7r/PJlZQlNh/x/ODHbDTOMZ9p83DJndtUXKXZirczw6bXd3vtxLXUdCvo5+dhDwK4zyRI4SQh8gkcjj32lUm1n+wR/WDh1ymiOW5KBMbONKtu65dM2tx5Etsx6vJo8bZQOWqFXwYZw/VHBYzvj7WpUmSCTGOkJcdnbNppBbI+u12rCDxyV0q/yyVZVmR3BWg5C5CCCE68I//5QPmtcvnROegepXZfKGIw2NH14j+Kr8rVRHX5reYWKDZha4+4yRN5KoVvBNZUI54H+uCU+XqX6J//GjGRKW4y0fqk7JQpE4X8giqFb5zl3YHoDkuucsbdMPhsu3y0YQQQog2PvzlJaZQ0mI1o3u4XZO1FmciKHGdbUZP9Wmy1pMoV0Tc5IrOW9u9aOv01emKnsxyIY07+QQTG2j2or+Znl/uR61cwXm0UoCo49GGPNlABxMV7lxT7c5dRa6Azd9CyV3EWCi5ixDSEM78/CKT0S2YBPQfVL+b1sytdaZi1mwxYVBnXbuqO3Ttagl50NphjI3HF+MYSxL7QPj54Q647fpKoiO1F/KxVTKbpbyuZ8Rvx1+ljs9jFGMZBZXHMlZKVcUalNxFCCGk3mavL+PaR3eZ2PCxPtV+D2aSBawtsQcEg0fUL0hRw+2lKIpl9tDowHHjFItIsox3o4vIi+y/4US4FZ0BGvG+HwVcxu7cJYnad9ZVS7nAHsjY7dolU2YTbLFPe5jGrRJCCKktSZJw5ufsSMbu0Q5YNCgmkERJUSzSFm5CIKSfxKmbixGUuRHNk8c663Q1T6YiSTiTWGZiNrMJzw1qk7BH9I9P7hJlGYmKsoOsUeh5X1/ReiwjV3Du12h8LiFaoVJFQojhSZKE3/z9Z0yse6Rd9TnJxUIZCzNs9Xr4QCfsOqsKvbMSUxzEjB8xzgZqOhvHQiHNxAZbfRhs1c8mldRPiJtvX5CqSFfL8FsNMBe9RmMZvd4A/vN/fGtPf4fWYxn5rl0A4KfkLkIIIXX2ynffZ17bXTb0HVBvnMrdW8rx7n0Hu1T7+9VSKFdxa4ntVhzq8qG13Ti/qz9PbmC1mGVi3UE3jtGI930r4DJ25y6+MMJs0iYpVI29RLnIJnfZHBomdyXZkTjtffQ9TgghpLamL8xjaznOxNTcQ2y3NBtFges6M6Kjrl35UgXTy+w+oiscQLDFWMUVF1LrSFfZz/NTfSG4bVR4vl85rBZ47VZktnWV2ioX0GJzPeRd+9Ne9xMV7mzTZlO3C7CicxeNZSQGo7/yUEIIeUxTn81ha4XdQA0e7lV9nXtTG0y1rGASMHQ8rPo6e1Gpiri1yHbtauvwoiVkjBuUTLWMT+KrTMxpNeP5IaqKIfd5HVY4rOwN/WbJGDPuDdJgDIByLKPanbv45C633wkbdeYjhBBSRwtTa7j03hQTGz7eD4tVnQeJ+VwJS7PcePfD3bBq2NHmSd2Y30KVSySZPKa/JLTdLObTuJTaZGJumwVfHzNO5zGiPr5zV1ESUeA6u+mZyN2fm1W+P1cT37nLpuHPuRyX3BXqpc5dhBBCauuDn7Fdu7xNHjS1+1VfR5Jk3OG6djV3BdDSpZ+x6dfnt5h7FkEAxo8ap+gcACLlPK5m2AL/dp8TE+2B+lwQ0Y02rug8UjbGmYTR8IUiqnfuyvOdu4xxdkrIFyi5ixBieHzbY1+zB00dAVXXqJSrmJtmDwh6xtrh8jp2eUd9TK/EUKqwbY+NsoGSZRkfRJdRltmDpBdHOuGw6u/Qi9SHIAiK7l0bpdwuH60v/Gx7PZ8tyhL7fWhSO7mL20QFqP0xIYSQOnvlu+8xr20OKwYPqTd+/d7UBtMZ02Q2YeCINhX9e5ErVjCzyhbO9A42wR907vIOfclUy3g3usjETALwzYluOGlPsa/5HDZFN1ojde9Sdu7S52ZClmVl5y4NiziySW4sI3XuIoQQUkO5dAHn37rBxPoOaFNQsLoQQy7D3ruMnOxTfZ0nlc6XcG+N3UeEh1rg9enr/ORhJFnGB/El5gmuSRDw0lAnFYkQxWjGLSMldxmk6FyWZVRK/FhGdTt3lfjOXXQuQQyGkrsIIYaWTeXx+ds3mVjfgW7Vb7bnpjdR5ZKmhk/oq2tXuSpiapHtBtDe7UeTQdoe38rEsFzMMLGRNj/6munmirBCPvZw0Sidu4yyiQKUnbtUT+7iOncF2uj7nBBCSP0s391Q7CmGj/fBolKFaLlUxcIdtlAkPNmh+hh5Ndxc2IK0rd2oySRg/LAxikVEWcLbWwsoSey+7XR/CO0+Gpex35kEAX4n270rUVGOCter7V3EAcCk0VjGvRKrkiIRTavOXZIoIZcuMDFK7iKEEFJL5359lUlEEEwCwuPqd7yVZRl3rrPTLgJtXrSFm1Rf60ldnd1kphaYzQLGDhtrGsf1TASRMntvcaynBUGX/vZtpPb45K5YuQCRa1RA9kasSkxRHKD+XkIxlrHJGOenhHxBn08CCCHkEZ177Rozg1kwCegdV/fwQRQl3JvaYGKdQ63w6uyX/vRSFOUq17XrSEedrubxpCslnEuwbaXdNguepXGMZAchL3s4Fy3nUZX0v5HixzLqueJL68MjRXJXq0/Vv58QQgh5HK98933mtdVuweBh9Qo55qY3UK1uu1cRoLvx7gCQLZRxby3BxPqGW+Dy2HZ5h76ci69hk6ue7m/x4lCXfg69SH0FXXxyl3E6d4mSMTp3lQtlRczu0Ca5K5cuKApo2sM0lpEQQkjtfMBNFOkcaIPdpf698/pyAukkm3Q0cqpPN88WY+k8FrdSTGxwvA1ODT4XWklXSzifWmdiQacNx7rp3oLc1+phC85FyIgbaD9hBJVSRRHTfiwjFZ0TY6Ge9IQQQ/vol5eY152DbbA71d00rC7EUOLGCuip5TFwv2vX7eUYE+vsDSDQpP8KdVmW8X5sGZUdxjHaLeq2XNUjUa6igjwqchEVFFCRi6iigIpcQBVl2OFB0NQDt9Cqmw17vbVw41AlADmxAr9J31VUsmyMsYyyLEPkEkVNZnUvNpdiH0g1hSi5ixBCSH2szm7hszeuM7Gho2FYVaoOFasSZm+zhSJdwyG4/fobc3hjh65dIwdDdbyiR3cvl8T1DNvF2Oew4qURGqFCHgi47AAedItOGrhzl26Tu7hnJ4IgwGLVZl+fTbAjGb1BN9w+/f1sJYQQ0pgWb69h/ibbTavvgPpj13fq2uVtcqNjsFX1tZ7U5Vm2S7HVZsbwpDH2EcD9z/GH8WVU+fOJoU6YddotldSe3WKGz2FFetv97lY5j1ab/s/gjKJSrCpiVhX3EtWKqJjQ5G/xqPb3E1ILlNxFCDGs1XubmL2+zMTCk+puoGRZVnTtau4KIKCzRIS7K3FF1y6jtD2+lYlhtZhlYmPtAfQ2Ne5NlSzLyMlRRKQZpOUNPGxeXw5RxMUF2OBGk6kPTaYwrML+fmBtM5tgMQmobmvRmxer8Ft1ntzFjzrU6KCxUinj+o3PmNihg0/Ban20xFdJVLY/VrtChj+IofEphBBC6uUf//MHTAK2xWbG0NE+1f7+hXtbKHEPKPU23h0A0vkSZtfZrl39o62GqLZPVop4P7rExMyCgN+Z6NkXxSLk0QWc7H7BSJ27ajWWca97iXKBTe6y2S2aJVhmk2ynvvY+6qxBCCGkdj74Gdu1y+lxIBRW//lWZD2NRJR9jjZyMqybAobNRA4bcfbZ/siBkGZjmbUwk09gqZhhYhPtQXT4KWmHsNo8Tia5K8J1jiZ7209sH3MLABarGYKKRS181y6AkruI8RjntyshhHA+euUy89rhsiOkcgv++FYWyRi7eRo82qPqGntVESVMLUWYWEePH/6g/jcfmWpZMY7RY7fgmQHjVPY8DlmWkJRXEBFnUEDysd5bRg4b0i1sSLfgE9rRZOqHT2iHIOy/6iFBEOC0WpDZ1qa3ICpb9uqNVKPkrmIxj7/+73/KxP783/z4kQ9k+E0UAFWr7WVZVhzEdFByFyGEkDrYWIzik1evMLHBI2HYHFZV/n5JkjFzkx3t0dbbhECb/tr+35jfYkZIm80CRg7o/55clCW8tbWg6AL87FA7WjyOXd5F9it+LGO6WkZVkmAxQEeGWo1l3OteQpHcpdFIRmCH5C4NDtQJIYSQnZRLFcU+IjzZpWoSwhemua5dLr8TXaP6uU/nzyUcLisGx9rqdDWPryBW8EmC+xzbLHiqzzj/BrVU5TLKyKAkZ1GWM6ggDxOssAgOWOGEBQ5Yhfv/b4ZNNwmGtdTiceBeNP3l6y1K7lLYy36izI1ltNnULdYq5dkR8labBU56bkAMhpK7CCGGJIkSPv5HNrmrZ7xD9erVe7fZwxiXz4GOAf20PAaAmdU4Slwr0dFDHXW6mkcnyzLORHcYxzjcCVuDVdiLchkxaR5RaRYVFL76DV8hLW8gLW7ABjfClqfgEgJ7v0iDcdnY5K68qExI0htFcpdOR6lUy6IiZlVxI1XIFCGJ7Pc9de4ihBBSD//4nz9gulWarWYMH+tT7e9fXYghn2UrQ4dP6q9rVypXxPxGkokNjLXC4VQnyU1Lnyc3EOO6L420+THeHqjPBdWRLEuooIiqXNrx/2VZgtMUgE8IwSUE9+VhzP2xjKxktYQWm/47Ixt1LKOWXTuySa4bsMrFfoQQQshuLr57C7kU+4w3PNGl+jqxrQyiG2kmNnIirFkHz8eVyhWxEmU7Xo1MhmC26OP6vsr9cYwrKEjsc+XnBtobvgNwVS4hK28iJ0dQkjMoIQMRu4ws32HoiAkWuIU2NAtDcAut+2Zv0eZh9w2xchGiLMFssAJ8vf7X4ovO1Z4mUuSSu/wtnn3ztUsaByV3EUIM6ca5GSQ22Y2N2huofK6EtcU4E+s/3K1JBc6TEkUJU4tsdUyoy4dgs/67dk1n44p2x2PtAfQ00DhGSZYQke5gS7oDCcqEme3sghkeswUeswVusxUeswVmQcDdfBqx6s4bqzJymKv+/9n78xhJsuy8F/zMfN+X8IjwWDz23LO2ru4mm+zuIilSItUkHymKepTeopbERxAjYISB8Ci9GWigITDDGfGPpxlhAA0kSNCTHsR935vdVV3VXfuaWVW5Z8a+R/i+m9mdP5JRGedaRG5xPex6xPkBBGi3PN2tPSLc77nnO9/3Gmb9X0XESPXif4K2RKSNfYOdu5QhF1GmacDnU1egyhP24VgQ6UH9HEwYhmGYk83W8i5e+z06LDL77ARCETUxhEII3PyYOtSmh5PIjWeUPL9KrtzbJOf1fr+JM5f0j3hfb9fxQXmTrGWiIXzlzMipOaAVQqAmtrDrLKHkrMDBwwceyvYa1nENPgSQMIaQMIeQNIcRNPSvH1UQ8JmIh/yo7dvvFrutPhF30eEIXQdF2pJzV6iH4q66VFf0IgqLYRiGYQ7ild96l1wPFrKIp9Xvp25epfVEOBZC4YI+Q92fLm6T60DQh8m5/hFb326UcKdZImtT2QRmBk7eOaUQAk3souqsoybW0UTxSM/nwEJVrKIqVhFCCgPmHNLGBEzjZIviZHdoBwI73RaGgqejnuo13ZYk7lJcS8ixjBzJyPQjLO5iGKYvefV3aCMmPZREKqd203332gaNJgn4MHlpVOlrHJXba0U0O3TDc+5Z/RsxdauL70pxjNGgH186QXGMDVHEkvUeWigf+piUL4DPJQZwIZpGyDy48PmexCDWO0183CjiRqPicjqz0fkrgddLCBsnr/A8jKgs7nL0d+4S/SLu6sgTMmqL8mqRTtiPTJ2e6S6GYRhGH37///cKbOvBvsrnN3HmxSllz7+5WkZ5lwoPznx+UrvvvGKthfkNul+duTCIUA+j1FRgOQ6+ubVIRGmmAfy182MIKBSl60pHNLHjzGPHnn8qZ2AbXZTECkr2CmADYSOJAXMSg+bsiY99T0dCkrjrEIcCzbBdzl16/pzczl29cQB0bAf1Cv3dZzdghmEY5jjYXi3i49dvk7WpS+PKX6dSamBtiQpw5l6c0MYVq9Hq4u5aiaxNn83BH+gPcU/T7uLV4jJZC/t9eGnuZA2K1MUWdp07qIkN2OjNcHQbZaw672EDV5E1ZpA1ZxEw9B+eeBpCfh8SoQBJFCl3230n7jrAjE0L2k3qrKXaBbgjDbX3QpTLML1G79M6hmGYA2hUm3jnGx+TNdWuXZZlY/4WnQKfuJBHMKxPNInjCJdr12A+gYFBvdXme3bHbYc6Wb10ZuRE2B07wsaGcx2bzg0ctk0eDUbxYmIAM+HEIwU+hmFgJBTFSCiKl1J53GxW8GFtF1v74mcstD9z8AoZev/8VRGRDgo4llEdsnOXP6B2u+iKT5nqn4k+hmEY5mRQ2q7ild+m0/bTzxQQjrkj256WW5/QePdYOoLRWb3i3QHg6j1a8/gDJs5c1H/g4u3SOkqSu+2Lk4OuSeqThBACVbGJbfseymINKo/kW6KCFfsqSs4qpv1fPLHNGOB+NOPyvv1oSYr11BXHoUM+2sYyNo8nlrFebrj+BDiWkWEYhjkOXv3d9yH2TYQHQn6MnVG/f771Ma0nAiE/pi7rM3h+bWkbzr73wTQNzF4Y8vCOnoxXi8toScPCX5nNuwaK+5WG2MaG8ynqYvPRD96HCSDlDyLtDyHlC6IrHNTsLuqOhbrdRdM5PJ3ERgdb4jq27BsYMOaQN589UUK5PRJhKu6q2p2HPFoP5DSi/Z9hOtGWYhPDEbX9WFsaald5BsQwx8XJ+JZiGOZU8cafXCHiA8M0UDiv1o546c62S8U983xB6WsclYXNMmrSVOy5Z/R37brdKOFeg7oDzA0mMXkC7I4bzi6W7PfQQsX13wwAZyJJvJgYQP4pJzmCpg+XYxmci6Twu9sLWOk8cIPoook71muY8790KmJV5FjGJscyKsPqsXNXrUhdTEam9Gt0MwzDMCebV37zHdjdB4fSps/E2c9PK3v+aqmJzVW63z3z4qRW8e4AUK63sLAp7csvDPVMjKGKjXYDH1Zok2IwEcYLhZPr2tN0yliyP0Rd7DzysSaAqM+PqOlHzOf/7P+3hIPFVv3QyHcAqIsdXO9+C1P+LyJhnsw9WlJqENQt/esIAHDs/qglXM5dPXIBLG/XyHVyII5Y8uSKEhmGYRg9EELg1d95j6yNnx2BT/HAcqPexuJdGnk4/dw4/JoIj9pdCzdXdsna5NyAciFGr7jTKOF2o0TWpgcSmM0lvbkhhTTEDjadT1ETG498rN8wMB6MYywURdYfQsYfQsoffOg+0xYOaraF+VYVH9Z3ULIOEjYJ7IhbMBwDed+zR/hfoycJyZm2duB7oBeyyK5fxF0hxWYbVpeKE8NRFncx/YceOwGGYZgn4LXfpZGMI9ODCEWCyp5fCIE719bJ2tDkABLZmLLXOCpCCHwsuXZlBqLI5fV2bWraFl7bWSFr4YAP3z+nvyjtYTjCxrrzKbacmwf+91wghL+eGcNwUM1hc8A08d/kJvA72wtY7zyIouiigTvWq5jzv3Sip+2BA2IZ+8C5Sy6a+sW5K6DYTr0mxTLmp09uI5ZhGIbRD8d28M1ff5usFc7lEVHo+HT3Bj1ID4YDKFzQb7/78TytJ/wBE7MX9Z62t4WDl7flOEYDP3h2TFuxy1GwhYV1+xo2ndt4mFPXYCCMC9EUzkaTSPgCD52Qr1pdLLRqmG/VsNCuuxyVLbRx23oNo75LGDLPnrhp+5CP7m07Uuy9rtg2vU+/pvGjvZ6236MkCVOnLurjZMIwDMOcXG68N4+NRSq2n7qkNlEEAO58ug6xb0jU9JmY1Wjw/MbyLqz9exMDOHNJf/dfAGjZFr69u0TWQn4fvjrb33GMTVHEpvMJqmL9oY8b8IcwGY5jMpTAaCgK/xNGsvsMEyl/EM/FB/BsLIv5dg0f1naw2K65HrstbiLkpJAxJ5/oNXQnLom7+sG5S25DOHpqu9Cu97aW6MrOXVF1fWWGOS5Y3MUwTF+xvrCNG+/Nk7UJxZGMW2sVVEpNsjb7gj7FEwCs7FRRqtH4iLPP5LUvQF7bXUZTtjueG0FEcezbcdIVLdyzX0dTFF3/zQTwxcQgvpjMwfeEhdKjCJk+/HRuEr+1NU8iGjuof+bg5TdO7uSB/DvTsC0IIbT+G5Cdu3S9V9m5y6/QucuxHdQr9PN1ZJLFXQzDMMzx8f4r17G9QvdtM89OKHv+btfGwm0qmpq8PKp8mv+oVBtt3NsokbXZ80MIauIGcBjvlzexI8XovTiZQ/aExSkIIVAWq1i2rqCL5oGP8RsGLkTTeDaeeaIhkoQ/gMvxDC7HM3CEwHyrhm8V11CRnHBX7U9Qd3Yx4X8RfuPkHHoH/bQu6zwkWkYnXM5dmg6K9Hrafo/iJnXLnrmsvrHOMAzDMDKya1ciG0Mmn1L6Gp22hXvSsMjkpRGENBEhWLaD60vUVWx8MoNYoj/2468V3f2JL8/0bxyjEA7WnSvYEbcPfUzM9OPFRA5z4SQSfnW/R4ZhYDqcwHQ4gd1uCx/Wd/FJvQhn31DKqvMeQkYcUePkxGfLzl3VfnDu6pNYxpZcS6iOZZSdu07YOQJzOujPbyuGYU4tsmtXMBLAyLTauIjbn9I8+3gmiqHJrNLXOCqfSFP28WQIIwW1haRq7jXKuFUvkbXpgQRmcv0bx9gWNdy1voMO6q7/NhQI469nxjAYVOcCIRM2ffhbuUn85tY8dvfFq7RRxR3rNcz6v3qiGjH7kQtuSzjoCgdBQ6/G6X6EJO7yaSru6nZokaPSuateabreh/wUi7sYhmGY4+PP/7fvkuv0UFJpQ2bxzha1+jeAqWf0Ex18vLCF/ee5Pr+J2Qt6u3btdJp4t0QbXQOxEJ4fP1l7ibaoY9n6EJVDolRSvgBeTAzgQiyNkHm0fZppGJiJJDASjOBPd1cw36IT92WxhhvdlzHt/x5EzfSRXksXgrJzV5+Iu2TnLp+pn3OXEAKdJhUJ9kLcJYRASRJ3TSke+mMYhmEYmXazgzf/5ApZm7w4pnx4896NDVgWdcWae1Ef56Pbq7toSwKJs5f7w7XrXqOMmw066DOZjePMYH/GMdqigyXnrUMjGKOmH59P5PBMLPvEDl1PSjYQxg+lRzEUCOObpdXP1gUcLNpvYNb3105M0kgiLIu79I95d8cyenQjD0EIgXajTdZUO3dZXXbuYvof/U4CGIZhDsFxHLz6u3Q6pnBuFKbCOIJapYX15RJZm3m+oJXDzmapjs1yg6ydvay3a1fbtvDKjmx3bOLLc3rf98NoiBJuW6+4hF0+GPi+5BB+bmimp8KuPaI+P35mcBJpaeqmhTIW7Xe0ncI4KgdNU+kezehy7tJ02t7l3KVQ3FUr0c+ueCaKeDqq7PkZhmEY5mGs3N7Ax6/TiebZ5yeU7UeFELh7nR6s56dziKX0OsRutru4u1Yia9NncwiF9Z3/c4TAt7aXyBS4AeAHzo7Cp+me6kkRwsG6fQPXut84UNjlg4HvTQ7if8zP4fnEwJGFXfuJ+Pz46dwEvi/pHpzqoI6b1isoOasH/Mv+4yDnrn6omWTnLh1/77sty/VeBnvwudKstVwisukeRGIxDMMwzH7e+YtP0KzvEx4YwMQFtbHAtuXg9qc0Vm/szJA29YTjCHy6SF27hseSSGX1P9trORZeKS6StaDPxEt9GsfYFjXctV8+UNgVMX34SjKPrw+fxQvxXM+FXfu5HMviuRg1SrDQwqL9OhzRH0MVj0KOZewI2xV1rxvyr7ijYf3TbVuumiccUSu+sti5izkBsLiLYZi+4drb97C9WiJrkxfVFlB3rtHiyR/0Y+JCXulrHJWPJdeuSDSAwnTGo7t5PN4orrmEN983m0cs1JuIhl5TdTZxx/o2LNBJgqQvgL83PIPvSQ4eqytT3BfA385NIemTpkbEOjadG8d2H8dJwGfCLzU0GrbeUzKyuEvDfgwAwJKcu5SKu4pUDDnCrl0MwzDMMfLn/+UNch0MB1A4N6Ls+bfXK6hK8e4zz+sV7w4A15d3yGGuaRo4c0nvafsrlS1sdqhI/PnCAAYTejS6jkrDKeGG9TLW7E8g4Lj++0Qohv8xP4vvSw0h0CPHJsMw8L2pIfzM4CTCknBMwMG89Q4aTqknr32cBKWIVAeApWFzQ8bt3KVfMdFuuiNpeuHcVdygrl2xZASD43qfiTAMwzD9jzx0PjQxgEhc7WDvwp0ttFv0fPPM56eUvsZRmN8ooS7dX7+4dn23uOLqT3z/TH/2J2rOJu7a30IbVbJ+f+h8GF8fPovPJXI9qxsexVdTIyiEYmStiSJWnPf6YqjiUcjiLgCoaR7N2A+xjHK8O6C+lpCH2tm5i+lHWNzFMEzfIGfaJ3NxpIfUWeZ2OxYWbm2StanLo/BrlLderDaxskM37XMXh5W6l6lmq93AJ7UdslbIxHF2SO8YycMoOyu4Z38XDuhGcDAQxn87NI1coPduXQeR8AfwtwenEJUaMevOJ6g5W4f8q/5Gdu9qau7cJccRmppOhckTLCpjGWXnrpEptbG6DMMwDHMYjWrT1ZCZfmYcPr+677k7kmtXPBPFYEEvwUHXdnBzeZesFWayyuMOVFLptvFWaY2spSJBvDjR//sIR9hYsz7FDetlNEXZ9d9jph9/c2AcPzM4iUzgeKaKJ8Nx/A/Ds8gHqXBOwMZd6w10RetY7qNXBA+onfshmtF2OXfpdwYgN2QCAR98PTirKG9JkYyXRvvScYNhGIbpH3bWSi4HYNWRwMIRuPUx3fMOTmSRHkoofZ2nRQiBjxfoGXN2MIaBobhHd/T4LLequF6nNdBEJo5zfdif2HXuYd55DTboviti+vAzuWl8ITGIoEKH36fBNAz8WKaAlI8KZ8piEdvipkd3pQ6/aSIaoH2Jqq25uKsPYhlb9QNqCb/aWoKdu5iTgH4nAQzDMAfQqrfx1p9fJWuqM+0X72y78uynnxtX9vwqkG2PA0Efps4MeHQ3j0YIgdd2V8ia3zTw1TP9aXdcdBYxb7/lmqYfD0Xxs4NTiPu8bYql/EH8WHYc8ju7YL+Frmge+G/6mYgk7uo75y4Np+2BHscySs5deXbuYhiGYY6Jb//2e1R4YAAzz04oe/5GvY3VRdowmHluXLs97921IjoWPdCcuzjk0d08Hm+W1lzOSj9wdhR+jQdcHoe6s4sb1stYd64DkOK7ATwfz+LrI3M4H00d++9Rwh/Afzs0hQtR2vDqool71ltwhNtdrF+QnbuA+1EquuP0oXNXqEei0coOrSkmFDowMgzDMMxBvPb7HxCnG3/Qj9E5tY5Vq4u7qFepiP7M5yeVvsZRWN6uolynKRZnLw9rV+/I2MLBt3eXyFrQZ+Kluf7qTwghsGZ/hFXnPci1w4A/hJ8bnMVISJ94zIjPj58YmEBAioTccK6i6qwd8q/6h3hIEnfp7twl/a7rGMsoD4r0opaQE0vYuYvpR/r7JIxhmFPDO9/4xNWMmTivLpJRCIH5m9S1a2RmUJs8ewBotLuY36DT3LPnB5UKL1Rzq17CWpsevL4wkUOiB9EMvWbXWcCi/Q7k4ulMJImfzk0i5PFEzB4T4Ti+lKQNOgttLNhvQ/RxE+YgAlJDT/c4FXkyRNeGpFxIBUPq3Atl5678pL7iVIZhGObk4DgO/uJ/p5GMo7PDiCbV7fXvXt8g20R/wIfCBb0EB44QuCYNiwyPJZFM61PzyGy0G7hVL5G1SyMZjKT0aVw8KY6wsWJdxU3rFbRExfXfB/wh/NzQNH4oM+JpjeEzTPz17CjGgvS9rosdrNgfeXRXR8dnGi5hVH84d8niLv1qiXaDDtv0IpIRAKq7NXI9Nqe3QJVhGIbpb4QQeE1yAB4/m1fqACyEwI2rq2QtNZTQxgVYCIFPJNeuRDqM/Lj+zlcfVDZRsqgo7Xumhg6M1tMVR9hYct7Ajrjl+m/T4QT+zuAMkn79RCoDgTB+NOM2T1hy3u57N+BEmL7fuou75NJBx1jGjjwo0oNawupKsYzs3MX0IfqdBDAMwxzAa7/3Prkenswp/eIt7dRRLlLRwdQzaq2Vj8qN5R2iqDd9BmbO6xtF0nFsvF6kRWkyHMBz4/0n5qg4a1iy33OtPxPL4G9mx+E39Po6/WIih6kQtcSui22sO596dEe9QZ6t0q8koXQlcddBrgE6IFsgq4ppsi0HjSp1kGPnLoZhGOY4uPKdW1ifp6KmuefVuXbZluMaFClcyCOgUCCtguWtCqrSgemZi2odB1QihMDrkgtw0G/iC1P9K+RoOEVc734Tm467MWMC+J7kIP67/Iw2U/c+w8SP5wpISA7F2849bNt3PbqroyNHM3Yc/YdgHDmW0aef04Rr2j6s/jPQcRxUJTfgsdn+/UxgGIZh9OfOR0tYvUuFTZOKIxm31isoSc6UZz8/qY2z1Halga0y7Z2cvaS/a1ep28a75XWyNhQP42JeD9Hc42CLLhac76AiVl3/7cV4Dj+enfA8hvFhzESS+L4krTkddLHlXPPojtQgiwM5lvHouFyAFdcSQgh3LGOUxV1M/6HXSSPDMMwB7G5U8PEbNNN+4oI61y4AmL9FmzGRRBhDE1mlr3EUuraDm8tSLvzMQM8mYVXwXnkDdSkm7/tm8/BrOGH8MBqiiAX7LcjSoRfiWbyUymtZxBqGgR/NjuF/37yL6r6fwaZzAzFjAElTLxeJp8VdlGhYlfwVjiNgdWnTqFfirlgsiV/9lV9zrT0OVtd2xTKqsiduVBouBd7wRP+JPRmGYZj+48//t9fJdXIgjty4ur3+0r1tdNr0+3Pm+YKy51eFHPGeykSQy8cPebT3zDcrWJVcgD9XyCGssXPxYQghsOncwqr9CQ4aSRgMhPE3sqMYCurnohbz+fGTuQJ+bfMe7H377SX7I4SNJOJm/4n1g34fmvsO9tvs3PUZR6kljmPavl5qQEhx9yzuYhiGYXrJt3+HDvzG0lEMjKaVvsZNybUrmopgZE6foe5rizvkOhILYnxan97JQQgh8GpxCfa+vbcB4KtzIzA1PM8/CEu0sWB/B00UyboJAz+UHsWlWH+I1D4fz2Gz08Tt1gPX4qK4i5w4i6AR8/DOnp6EJO6qWd1DHqkHxxnL+LT1RK9dgB3bcdUR4Zh+jncM8yj6q8POMMyp5PU/+pB86foDPozOqpswt7o2lu7SAmXy0ggMU59N/t21IjoWPXCeu6jvAWap28aHZTrRVMjEMJnVt3l0EB3RwD3rdTig7/2L8QFthV17RHx+fC07DlPyt1q030Fb1A/5V/1FPzl3dTvuhlGwR41J0zSRSKTJ/5mP2fxp19uuNVXiLjmSMTkQRzQRVvLcDMMwDHMY6wvb+OjVG2Rt9nl1U/BCCNy5RqfBByeySGT1OqTeKrun7c9oPG3vCIE3JBfgeCiAy2N6N5EOoiuauG19B6v2x5B3rD4Y+P7UEP7e8IyWwq49hoMR/I2M7FAhcM96Cx3ROPDf6IzbuUt/cZfLuatH5xVHqiVk5y5FDsD7qezSWjY5EEcio9fnLcMwDHNy6LS7eOOPaRz15IVRpXvo0k4dm6tlsnbmcxOP/f3baxqtLha36P3Nnh+EqVHv5CBuN0pYalXJ2uXRLAbj+u6599MVTdyzv+0SdgUNEz+Vm+wbYRdwX1j01VQevn2n+QICm33s3tV3zl3m8Q3JP209IQ+KBBWLu2TXLoCdu5j+RI/dAcMwzEP4jhTJOHZmGH6FooiVhV3XF/vERbXOYEdBCIFr0pT98FgSiZS+oojv7q7A2de4MI37rl26No8OwhYd3LO+Cws0//18JIWvpPRthO1nJBTFV9NUCGmjiwX7TThC/wbGo3D/DPSVd8mRjICesYxNSdzl95sIKPq8lcVd+Ul27WIYhmF6z1/8lzfIwWUg5MfEBXUuprubNZR36XfczPPjyp5fFXI9EYkGMDalb0PgWm0HxS7dl3xxaqjvXIArzgaud7+Jmthy/bfhYAT/XX4G35MchK8PaovzsRS+kKAuXRbauGu9AUfoH2u4H3kf3g/iLrdzl36/M+1mb6ftAaC6WyPX43P6Dr0xDMMw/c8H37qGeqVJ1iYURzLKgyLBSAATl/RJXbixskMi3Hx+E5Nzep/ptR0b3ykuk7VY0I8vTujjhvYw2qKKu/bLaKNC1iOmD38rN41CqL8G6AEg4Q/imRgd1CmJBXT7cFAEcDt31e0ucTnWDbncdDS8VXctoTZ8Tk4rAdQNtTPMcdJfp2IMw5w6Fm+sYeH6GlmbuKC2gJq/SSMZhyYHEE3qI5xa3q6iKqnWz1xU51ymmoVGBfNNWng8M5ZFpo9U8I5wMG+/iZZUQI2HoviRrNrprF7zfCyLMxFqe9sUJSzbH2gdY/g4uIoSb27jsZCdu0zD0LIh06rRzxqVBY4s7hpmcRfDMAzTY6yujdekQZGpy+PwB9QdEt67uUGuo6kI8lN6xdTVmh0sbtJp+5nzQ9pO23cdG2+XaJMrFw/jzNDjRcPpgBACa9anuGN9FxbcU9zfk8zh54amkQvoU3c+Dt+fGsJ0mDaTmqKMLee2R3f0dAT9/eXcJYSAI3VgdHHz2I/LuUtxQwYAKjtU3DXKkYwMwzBMD/nOH3xArgfHs4gl1Tk/tVtdLN2jQxgzzxfg02Qg1HYc3FrZJWuF6SyCIfXf8Sp5q7SKhkOFHN8/k9dy0FamKYq4a7+CLug5atwXwM/mZjCssdvvo/h8YhB+cqAvsOPc8ex+jkLkgGHoruY1he60pKHzcESt8Eo2+DAMA8EeOA0zTK/R7ySAYRhmH6/9Hi2gIvEQBsfVRXFUS03sbFJ73qln9HHtAtxT9qlMBLm8ntMZtnDw2u4KWYsEfHixT6ZigPsH58v2e67p+qw/hJ8YmIDf6K+vTsMw8COZUWT8dDNcFAvYcm55dFdqMHB8dsJHpdumBwpBv09LkaC7iFJX4NRl564JFncxDMMwveXj12+5xMUzz04oe36ra2NlgTY7pp8d0yreHQBuLO8Qf1O/38TUWX2/hz+sbKFh073Tl6b7wzkXALqijdvWd7DuXHf9t7jPj58dnML3p4b7wq1LxjQM/M2BcVdtsW5fhyXc8d660m/vvBzJCAB+n351qVvc1YNYxh3ZuUvfwTeGYRimv6mVGvjg2zTefeKC2r7Bwu0t8j1vmAamLuvTm1jYKKMtCSJmz+t9zr/RruNqjfZTJjJxzAwkPLqjx6chtnHP/jZs0H11xh/E38lNIxPon+H5g4j5/LgQpe7RRXEPjnA7KulO4IC9eLeP3Ix1K0WFEGjV5aFzxbGMknNXKBrQcmCGYR4F/9YyDKMtju3gu39IxV2F86NKmyXzt6hrVygaQH5an0n73WoTG6U6WZu7OKRtY+OjyjbKFi0+vmd6uC+mYvbYcD5FUSyStajpx0/lJhA2++d/x35Cpg8/PlCQJmOANecqKs7aIf9Kf+Q/A32lXe5YxmBAzy2YS9zVU+cufT5rGYZhmJPJ63/8EbnOjqQQT0eVPf/Kwi5s68EBrmEYKJzPK3t+FXRtB7dXqQBtYnYAwaCe0/YNu4sPyrRGK2TiGMvEPLqjJ6Mt6rjVfeXAGMbZcAL/w/AsCuH++N9yGCHThx/L0uhRBxa2nLse3dGT40hDIabmAzyW5W4U+TUTkdqW7RpoUT1t7zgOqrv0fKRwVq/PXIZhGObk8OafXoG97zzP9JkYO6NOVCwcgbvXqQvw2JkhhGP6CHiuL++Q61w+jmRGX+coRwi8srtE1vymga/M5rXtp+zRENuYt78DB3Q/NRQI42/nZpDwn4z4uOdjdMjIRgclqRfTDxw0aNEV+jp3aTwTDwCwOjb5vAWAiOLIRNm5S6fPWoZ5EvQ8zWMYhgHwyZt3UNygsXgqp2Ns28HiHXroXrgwAlOjCVjZtSsU8WN8KnPIo72lbnXxrhSfMpSI4NxwyqM7enJ2nXlsSBP2fsPAT+UmkOrzAioXCOPHsuP4wx1a4C7Yb+OM8YMIG/0Tc7OHXJILjeVdcixjoIeCR8vq4s7dT8na7MxF+P2PnnZxT8io+b13bAeNSpOs5TmWkWEYhukhnXYX737jE7I2fnZE6WvItcTQVFa7A8J7a0V0JGHIzAV9p+3fLW24Jp6/d7o/YteaThm3re/AkibtDQBfSQ3jxcSA9k2lxyUfiuB8NIXrjQdxn1v2HQyZZ+Az9D9qtCWtlKn5z8WWbxiAr0fnFk9bS8iuXQAQUhxzUi814EjvxbjCJjvDMAzD7EeOZByZGUQgpO67bX2lhEaN7htnnisoe/6jslVuYEc6y5s9r/e+/Ep1C9tdes+fnxhEMqz3uX5D7Bwo7BoPxvDjAxMI9enA+UFkAyFMhuJYaD9wY91xbiFjTPdVrWQaBvymAWtfdHrX0di5S1J39fKtfpp6Qh44B3oQyyg5d0U0O7thmMdF/xMXhmFOLa/9/vvkOjWYQCqnzj53dWEX7Rb9Qp+8pI/tcaPdxfxGmazNnBvUSny2n7dKa65GzJfn9J+K2aPqbGDJpr9zBoCvZQt9nWW/n7lIEt+XHMLrlQduCA4s3LO+izP+H4Lf6K8Nrfy7pfMEiizuCvVQ3NVs1vG//n/+GVn71V/5NSQS6Uf+W7mQiihqyDSqTVds5jCLuxiGYZgecuW1m2hKzZJxhQ4vjVobW2vyIIpa8dhREUK4pu2Hx5JIJMMe3dHDKXXb+KRKh1vODacwENfzfvdTc7Zx13oDNrpkPe7z42sDBYyF1DnG6cIXEjki7rLRwa6zgEHfrId39XjIzl26R2TaBzp39eZc4GlrCXlIxDQNBIJqax45kjE9mEAy299OeAzDMIyebC7t4sa782RNdSTj3et0SDo1mEBmRJ/h2xtSHRGJBpAf13eIu+1YeKdM39NsNIRnR/U+f7wv7HrNJeyaDifwN7MF+DV3mH0aXogPEHFXG1XUxAYSRn85svp9JiznwZm/zrGMctvE6GFQ/dPUE3JPIhD0wedX+7vflcRd4Wh/9cIYZo+T963AMMyJoNXo4O0//5isKS+gblDb44GxNBIaHQzeWN4hh86mz8D0WT2n7EvdNq7XaNzL+eE0hhL9IYpqijLm7Tchb3N/MD2CmYg6QaEOfDGRw/kILcQ7aGDefhOOxgXIQbhjGfVVd3Wk4qGXzl1Hod2jWEY5kjGejiKeOnlNToZhGEYfXv8jGsmYG8sgolAktHiXipACIT/yM3pFDq8X6yhL3+06T9u/WVzF/t2ozzTwhUl973ePkrOK29Z3XMKuXCCEvzc8cyKFXQAwGAxjOhwna5v2LYg+qClcsYw9bG6oQBZ3mYYBU7NYRtm5KxQJKB/0Km9TcRe7djEMwzC94rt/+CG5DoYDyE+pO5evVVrYWKFD3dPPjWszJN1sd7EgDZ1PnxvUbv+xnw8rW+hIsXhfnRuBT+N7bojdUyfsAoCJUBxZPxXW7IhbHt3N0xOQhi30du7y+gYeTksazFMdyQhwLCNzcjiZ3wwMw/Q9737jE3o4aACFc+om4cvFBnY2qmRt+tlxZc9/VCzbwa0VKpaamMkiFNbTcPGd0jrZH/pNA1/sk/iUrmjinvVdVxH1YnwAz8WzHt1V7zAMAz+SHUU+QIV3dbGNFfsDl7uSzsgTJjrfuezcFQzoKe5q1qRYRkXOXbUiFXcNT+g9NccwDMP0N+1mB++/fI2sjSusJYQQWLxNIxnHzg7Dp5l4+9oSFaDFUyEMjeo5uLDeruNOgzaQnhnNIh5WG+ummm37Hu5Zb0KAHuSPhaL4O0PTiPv0vv+j8oUEFTR20EDRWfbobh4fx+kz5y4pitDn0+9+ZXGXqjpiP5UdeoZTUOjGyDAMwzB7CCHwHSlRZOxsXmmahjx0Hgj5MX5OH9HyrdVdOnRuGpg6o9cgy35atoWPqptkbTaXxEhS3yGL5iHCrqlQ/EQLu4D7/YkX4vRsuCY20BKVQ/6FngSkz4SuJC7UCXkoXrfyR3YBVjVwvh+OZWROCif324FhmL5GjmQcnsgpnbS/JxVQoWgQo3P6uGLdXS+hLSnJZy/oKZba6TRxs14ka5fHsogG9RSi7ccWXdy1vosummT9bCSJr6T0KahV4zdM/ESugLiP/ox2xTy2ndse3dWT43Lu0liY5hJ3adb8Be5Pr8hFTq+cu/IcycgwDMP0kPe/dc01KDKm0OGluF1DrdIia4ULeokMqo02VrapEGL2/JA2bgAybxXXyHXI78MLE/o2kIQQWLevY8n+wPXfZiMJ/K3cJMKmfvs91YyFohiRIuw3nFta78uBA5y7NP272EN27upVJONRkKNUwhH1DRk5lrFw9uTW7AzDMIx33PpgAat36SDHxHl1iSKWZWPhFhUiTV4ahV+TQVDHEbgpDZ2PT+s7dA4AH1Q3XZF4n5/Qp9cj0xRF3LNfgyM5/06G4vjawMSJFnbtcT6adtVLO33UlwAOEnexc9fT0qzJtYT6QRFL6s+EeiAgY5jj4OR/QzAM03eUtqq4+l1qw6oyktHq2li8Q6fYJy+NKp2+OQpCCFxfpPc3NJpEMq1nxOE7JZplH/CZeH5cf+GGEA4W7LfQAnUIGA1G8TeyY9o2vlQR9wXwkwMT8Ev/O1edK6g7u4f8K72Qf0I61yj9IO6SIxkBdeKuepmduxiGYZjj45XffpdcDxUGEI6qm8pcuE336rF0BNmR1CGP9ga5IRMI+DAxo6cr7WqrhuUWFW18biKHkIb7pT1W7Y+xZn/qWr8cS+MnBgquiI6TimEYLveuliijIjYO+Rd6YPdZLKMli7s0ObvYz0GxjCqxLcflBlw4o5eolmEYhjkZfOs33iHXsXQUA6NpZc+/dHfHdU44/eyYsuc/KotbZTTbdPhz9rzGQim7iytVKsY7M5hEVmH9p5KWKGPeftUl7JoIxfHjp0TYBdwfPn8mSuvTkliAJdzn07riEndpHMso90106325BkV6EssoOXfF9fyMYJhHcTq+JRiG6Sve/NMrEPtiEnwBH0bn1LlWrSzsuvKVp55RJx47KuvFOsoNupmZ09i1S45PeXYsi3BA30mePVadq6hKTYeMP4ifHDjZtsf7GQ5G8Dcy7sODbac/Mu7lIkRncVenLYu79PsdkydkfH4TAUVTg80adTcZHM8oeV6GYRiGkdleLeLqd+heZvKiumaJbTtYvkfFXYULI1odjlq2g9ur1Fl3Ym5AGzcAGXlYJBr049KovnuFbfseNg/YL38xkcOPZEa1d4FSzWwkgayfHr5v2jc9upvHQ45l1P1n5o5l1K+WcEWpKBZ31Yp1lyPc2Bw7dzEMwzBqaVRbePNPPiJr05fGle31hRC4e53ufYenBhBL6xMfeGNph1xnB2NID+hzfzIfVDZh7XNMMqCva5cjLCzZb8KWhF2FUAw/cYqEXXs8G88SkYKAjaK459n9PCnyQI/ezl06d07c4q5IT2IZaX8mzLGMTJ9yur4pGIbpC976s6vkemx2GH6FYqGlu7QZMzw1gGhSH1esG8u0gEqkwhgaTXh0Nw/nvTIVRwX9Jp7tA9euHeeeK34wYvrwU7lJRHz6C9NUcjaawhelafuq2IDQuRj5K+SmjE/jpkyrSYv2cEi/37N6mcaTxhROr7Qk4Vh2WC93E4ZhGObk8OrvvEcEAP6gH6MKBQDrS0XXpH3hvF7uMQsbZXQseo8z5/SMODzIteuFQk7L2DkAqDk7WLY/dK3/QDqPL6eHtRL5HReGYeDzUj1RE9tauwHLsYw61xHAQbGM+t1vr527yjs0ZnZwPMPT9gzDMIxy3viTj9Ded4ZnGAYmLqobCt/drKG8S50op58bV/b8R2W32sSm5L6vs2tX3e7iao26dp0dSiEd0XOPsOp8gDbonmY8FMNPZCdPnbALuJ8sciZCz4h3nDt90ZcADnLusg95pPfI2i7dqgm5d9AT564Ode7qxWswzHFw+r4tGIbRmtJWFTfenSdrY2fVNUtajQ4216jTlE7NmHqrg+WtClmbOTeoZZOg2G3hVr1E1p4dG9A6PgUAas4Wlu0PyJoPBn5yYAJp/+nc0D0boxbINrqoC32bMXtYktWxrk0ZIQRaUrMjGlKfG39U6iV6eBNLhpU8r2M7aDfp//70kJ6CVYZhGKa/cRwH3/7t98ha4fyIUscqOd59YCyNWEqfQRHAPSwyNJJAXNH3umrePsC168JI2pubeQQd0cA9600IyS/2r2dG8bmE/gMuveR8LIWYNCSzobF7lyzu0j2WURZ3aenc1ZCdu9TW1pVtKgLlSEaGYRimF7zymzSSMT89iEhc3T76juTaFU1FMDypzz7yuuTaFY4EMDqpr6PuB5UNWPv2dQaAFwt6itGKzgJKYoGsDQXC+Mns5KmJdD+IF+J0SMRCE2Wx7NHdPBlyVLrWzl0yGvVRhBAuF+CI4kERAOjKsYzs3MX0Kaf3G4NhGC155xuf0En7gE9pgbN8b4dkt/kDPuRn9dnw31zZJa0Cv99EYSZ76OO95P0Sde0K+Ew8M6rnve7RFnXM229CDvD74cwoRkP62kv3moQ/gMEAPaioiDWP7ubxsSTnLl0nnNotyzUdo6O4q1aizl3xhJrDq5YUMwsAmaGkkudmGIZhmP1ce/seNpepQH3qkrpJ+Hari/XlElmbuDii7PlVsF1uYKdKv9Onz+lT7+xntVXDiuTa9TlNXbscYeOe9SYs0H3N5xMDuBzXt+F1XPgNEy/Gad1eFqtoieoh/8Jb7D6PZdTtb0QIgbYUpRIOq613KpJz1/hZjmRkGIZh1LJ0cx23P1oia1OX1dUSrWYHKwu0Vpl+dgyGJo6c7a6F+Y0SWZs+m4Opyf3J1K0uPq7SwZtzw2mkFAvMVdAWVaw575O1oGHix7KFUy3sAoDhYASjQdqX2XZuuuK4dcTl3KWxuEt+P3X6q+62LThSvdMLVy2bYxmZE8Lp/tZgGEY73vzTK+R6ZGYIPoVOUItSJOPI3KDSSf6jYDsObq3QAq8wm0UgqMf97afcbeNGvUjWLo9mENLkvTwIW1iYt96ADToF8PlEDhdjaW9uSiOmw3FyXXXWD3mkPtgu5y49tzWtBo1kNAwgHNQwllESd6ly7mpJjR5/wId4+vSKKRmGYZje8bI0aZ8ciCMzrE5QvHR3mxyK+vwmRueGlD2/Cm6s0Gn7SCyIkXE945Bl165Y0I/zGrp2CSGwaL+PhiiR9clwHF9OscBkj2fiGYSk/fimfcuju3k4krZLWwfgPSw5llEz5y6ra7vcxZTHMrJzF8MwDNNj5FoiHAshP60u2nz+5ibEvk2I6TMxeUld5ONRubtWIgJ4wzQwdVbPaHcAeK+yDnvfALdpAC8W9LtfR9hYst+CAyos+aH0KNJ+FpcAwOck964WSqiLTY/u5vHpp1hGFxqVP3IkI3DfNVA17NzFnBT0Og1gGOZUs7G4g0/fvEPWxs6oOyyvlpso7dTJ2vg5fQ4EFzbKaHfpBnBG0yn798ub1GHMNPDsmD4W0jJCCCzZ76IFGsk5E07gy0m9GnJeMR2mMXktVNAR9UMerQdu5y6NqpJ9NKWIkkjQr507gBAC9TKNZVTl3NWUCrT0YELLqFmGYRimv2lUW3jnLz4ma1OXx5V+5yy5BkWGEAjpI9hud20sbND97vTZnDZuAPtZa9Vdrl0vTOjp2rXp3ETRoS4OaX8QXxsY125P5yUh04fn4tTJuegswxH6NTn6LZbR6sqxjHrdb1uKUQHUNmSsroVGhQ6ijCs8K2IYhmGYbtvCa79PnZUmL47BVLQ3FUJg4fYWWRs/N4ygYqfLo3BnjQ5yj02keyKwUEHN6uCTGh1qOT+cQTKsn2vXhnMVLZTI2qVoBueiaU/uR0dmwgmkffRnVxJLhzxaH/xSnW3p7Nzl6OvcJfcOgiE/zB4Ms1gdKu4KsbiL6VP0OzVjGObU8spvvUuuA6EA8tPqxE1yMyYUDWBwQp8IjRvLtCDJ5eNIpiMe3c3hVK0Orteow9il0QwiGjoR7bHp3EBZrJC1rD+EH82Oscjkr8gHI4iY1Hmtorl7l+zcpWssY1Ny7opoGMnYaXZhSdbE8R45d3EkI8MwDNML3vqzq+i0HnznGqaBifPqJuFrlSaK21T4Xjivz6AIANxdL7qm7Sfn9BzAeK9MI96jQT/O59Pe3MxDKDtrWLU/IWsBw8RP5goIm/q6FnvF84ksaRQ4sFAW+tUUrpgXzUvCrtyIUOhuroJmrUWuAwGfUof0qjSkZ5gGRmf0HIRjGIZh+pP3v/UpakU69Dh1eUzZ8xe3a6hX6fnY1DPqnv+o7FabKErf51Nn9HPB2uP9ygYcybXrc+P63W/VWcOOuE3Wsv4QXkqNeHRHemIYBp6RhkSqYk37aEb59nQeGOlI5/5BjRJ45N5BJKZepCmEQEsaSElmY8pfh2GOAz27oAzDnDpsy8a3f4eKuyYujCqLZBRCuMRdY2fzyqZvjsputYltaRJVV9euD8qbpHjyGQae07B42qPsrGLdoQ2ZkGHiv8kVEOKGzGeYhoFJKZqxItY8upvHw+3cpcffs4wcyxjVUNxVK9EDLNM0EFGUbS8XaOnBxCGPZBiGYZin59XffY9c56cGEVL0XQYAS3fpIEYwotegiBDCFfE+WkhpOW2/1W5goVkha8+PD2jn2tV0Kpi33nGt/82BceQCakTwJ424L4DxED0kL9n6T93rTqctibsCeg1WNau9bchUdqnL33Ahq5XTCcMwDNP/vPLbtC+RG88gnlbX+F+8Q/sSsXQEmbw+w493JdeuSDSAXD5+yKO95SDXrgvDGSQ02xt0RRPLDv298sHAj2ULCGhW9+jAbJj+Pdhoo4ndQx6tB7ak7vJp2psA3PVEWKN6olmlwlJVPYn9WB0bjk2NAtI57lEw/Ym+nzQMw5wqPnr1Joob9IB/+vK4sucvbrmnY3SatJddu8LRAEYKaW9u5iHUrS4+rUrF00gaUU1du1qigkWbNmQMAF8bKHCm/QHMSNGMNbEFR1iHPNp7bEcuoPScjpFjGXUUd9VLVFwaS4SURTi5nLuG9Tm8YhiGYU4Gm0u7uP7OPbI2eVGda9fBgyLD2gyKAMBWuYGy9J07dVbPAQzZtSsc8OHCiD5COQCwRAd3rTfggO6Fv5wawmyED4EfxvloilyXxTps0T3k0XqgZxXxgHaLTtqHNJq0Bw5oyCiOOKnsUHHX2BxHMjIMwzDq2Fkr4aPXbpK1qUvq+hK27bhqicL5vDZpEo4jcG+dRrsXZrPa3J/M+5VNt2tXQa+6RwiBZecd2KD12VdSeR4SOYSUP4gBqV9TcVY9upvHQ04VMTX9m7FtxxXzrlM9Iccy9sK5q9Vou9ZSOT0FrAzzKPQ5iWQY5lTz8m9RAU4mn0JKobvL4l33dEx6WI9D+Y5l4956iaxNn8nBVCSsUMmHlU3YUvH0vKauXZbo4N4BDZmvpIZdDlXMfSbDcdLYEHBQE1ue3c+jsOz+iGV0O3fpJ4asl6lzVyyh7qDB7dzF4i6GYRhGLa/93vvk+n68+5Cy5y/tNlCrUPGCToMiAHBrlU41xxIhDOb1qHf2s9tp4U6DNo+eHcsi4NNrH7dsf4QOaBTc+WgKX0joWfvoxFwkQQ4bBRyUNY97113epb9zlyzuUtuQqe7K4i51n+8MwzAM89rvvQ+xb4DUH/Rh7Iw6IfH6cgldKRKtcEGfWL613SpaXbrXmJjRM9q95Vi4VqeD5+eHM4hrNki7K+6gLjbJ2kw4gWdj2UP+BQMA09LgeVXzVJF+GTyXawlAr3rC5QIcVW/K0HZFP4YQiqgXkTHMcaDPXy/DMKeW0lYV73/rGllTOR3jOA5W5ummX6fpmLtrRbIRNAxg8ox+BVTbsfGJ5Np1bjiNuGaWx8D96ZhF+210QA+Bz0dT+Fxcv/dWF8KmD6PBKFY6D4Q+FbGGJPQ5cNiPXED5NfmblmkecyxjNJrA//X/8m9daw9Ddu6KJ9WJu5o12uzJDOnXaGYYhmH6FyGES9xVOD8Cn1+dWEietI8mw1rFqLS7NhY2qGBq6syANvXOft6XXLuCPhOXRvVqcpScFRQdGiU4HIzgRzKjWr6nuhHx+TEZjuNe60EtVhNbyKLg4V1RxKMfohVucVfvJu2fppbo9bR9ZYcKLccVNtwZhmGY040QAq/8Fo3OGz87Ar9C4cPibTo4OzCWRiwVUfb8R+XOWolcZ3JRJFJ6ukt9WtuBJR4M+xoAPjeu11l/VzSx4XxM1uKmHz+cHuNa4hHMRJJ4t/ag9m6jgraoIWToOajfL7GMB4m7ghrVE61abwdFAKAlJauwaxfTz7C4i2EYz3n1d94jecc+vw+Fc+rEJJurZbRbdAMzrsmkvRACN5fplP1IId2TXOmj8ml1B11BnZKe18zyeI8152NUBW0cDQfC3JB5DKYjCSructYhTKHl+2ZJ1sc+jaKR9uN27uqtuMvn82F0ZOqJ/k1NjmVUKO5yOXcN6dMMZxiGYfqfG+/NY2ORDiAojWR0BJbvUXHXuEaDIgBwb10aFjENTM7q1eQAgHK3jZv1Ilm7PJpFyK9PJERXtLBkfUDWQoaJnxwoIKDpXlNHJsIxKu5yth/yaO/R56/ZjXCEy+2jl+Kup6klZHFXVOF5hm3ZLpfhcY5lZBiGYRRx/Z17rlpi6rK6ofN2q4v15RJZm7iozxBtp2tjabtC1nR17bKFwNUqFcrN5pJIhPXqo6w7V1xJIj+SGUfEx+34R5EPRBAxfWg6D/a+VbGGkHHGw7s6nL5x7pIi3oN+X08jJJ+0nnANivSgNyr3J1SmRjHMccMnUwzDeIoQAi//5ttkbfxcHgGFsWXypH0mn0Q8HVX2/Edho1RHWcp7nj6nn2DKFgJXKrR4msklkNLQurTsrGLLuUnWoqYfPzEwoW1sn05MS5GVXTTRQuWQR3uHEOIA5y79fr5W10a3SwuoqGZud0II1Eu0YRJXFMvoOA7a0mRMhosnhmEYRiGya1c8E0NmOKXs+bc3Ki6h9vg5fYQFQgjcWqHDIqOFFEIRvfYbAPBBeZM4JvlNA8+M6+PaJYTAkvUBLNC9yw9mRpDw6/d+6sx4KEau26ihK1qHPNoD+si6qyMJuwAgFNSrOeiOZVQXpVLdpa5dhmFgdGZQ2fMzDMMwpxvZtSuRjSGbV1dLLN3dhtjn7uPzmxjVKF54YbMMRxoSGZvKeHhHh3O3UULNpnXZM5o5ANecDZQFdQC+EEljIswuQY+DYRgHRDOuenQ3j8aRxV2ajoy0JeeucFCf4SqrY6Er3V8vnLvaUg82NcB/k0z/ol8XlGGYU8W1t+9hfYFOx0wrnI6xujZWF+l0uC6uXQBcrl3xZAiDef2ED3fq7uLpWc0sjwGgI+pYsmlRbsLAjw8UuCHzmAz4Q0j66HtVcfTLt3eEuyejYyxjs9l1rUV67Nz1pHRb7iJKVSyjLOwCgAw7dzEMwzCK6LS6eOOPPyJrkxfVOrUu3aW1SjIXR1Kjg8CtcgMlaQp16ox+wyJ1q4trNVr7XBzJIKIw8uao7DqLKAu6752LJHAhqq7Bd1oYDIQRlAYvakIf964+0nYdGKPSS+euJ6XXDZnKTo1cD45lENJwyIxhGIbpPxrVFt76sytkberSuNJaYkGKZByZHVQ61H5U7q7Rvkl+PIlQWJ/7289H1U1yPZyIIJ/UY4AfABxhY9WRHYB9+HJKn15UPzATpufGdbENW7jPl3Wgb2IZW3LEuz5/47JrF9Aj5y6pR5Hm4XOmj9Hzk4ZhmFPDt36DunYlsjFkR9LKnn9tqQjb2pfDbhgYO6PHdEyz3cXiVpmsTZ/NaRXxAtyfYP+gIhVPSb2KJwBwhIN5+y3YoGKal9LDGAvpda86c9CETEWse3Q3hyNHMgJ6FlCy00fAbyLg0+s+a5Jrl2EYyqbt5QLN5zcRz/DfI8MwDKOGd//yE9d3zcQFdZGMtu1gRRpEKWg0KAIAt1apYCqWCGFwRL+Dyo8qW3D2SWpMw9BqWKQjGli2qVAwYvrwwxzr/lSYhoFRqQbTOZpR55+wLO7y+0yt4ugPbMioFHftUnHXmEZuJwzDMEx/8+afXkF731CmYRhKa4lysYHyLj1z0ymSsdpoY1OKPtY1knG9XcdGh97rs5q5dm2LG+iA7lu+PzWMKMcxPhETobjkgCVQ1bA3AQC21J/QNpaxLYu79BkUaUm1RCDog78H9+eKZdRoYI9hnhR9TgMYhjl1VIt1vP1nV8na1GW10zErC7TZMVjIIKwwIuAo3F0vYb+43/QZmJjVr4Baa9ex3WmStec1asTsseZcRVPQaaOzkSSei+lV6PUDcjRjUxSJhbgOWLZb3KVjLGOzTqdCopq5dgFArUgPR2KJEExTzedws0o/O9KDCZgaNaMYhmGY/kaOZBwsDCCaiCh7/o3lErpSJNqYRpGM7a6NhQ06LDJ1ZkA7MVLLtvBxlQp7zg2nENdkXySEwKL1PhzQQ+8fzoxyM+YIjMviLrFzyCO9QK/a5mHo3IwB3JGMwZAffr+6e6zuyOIufT6DGYZhmP7mW79Oh87zM4NK+waLkmtXOB7CYEGfc+q76yVyHQj6kB/T023/iuTaFQ/5MZPT517booYt5zpZywciuBzVM+JSZwKmiUKI9iaqQr9UEQCw5VhGzerwPdz1hD41rjwoojLefT+uWEZ27mL6GH3+ghmGOXW8+rvvodt5sLEwfQYmL4wpe37bcrCxUiJro2f1OAgUQuC2NGU/NplBUCNb5j2uVGghmgwHMDmg1+an7Kxg27lN1tL+IE/aPyWDQRrJJ+DAQhsBqInqU0HLsl1rIVOvRgfgFnfFwr1vYtq2jY3NJbI2PFSAz3fw+1PZpg2TREpdU7xarNP7mNQvJophGIbpT4qbFXz02k2yNnlR3aQ9ACzdo4KkgbE0ogl99kP31ovkQNkwoOWwyMfVHXTFPjdlAM8X9NkTbDt3URW0YXQhmsKZqD4No35kLBQj1y1RhiU68BscqfckdNq07um1uOtJawlXQ0ZxjIrs3DXOzl0MwzCMAu5cXcadK/T7burSuLLndxyBxbu0liicz8NQNEx5VIQQrkjGwnQWpmZpAwBQszq43SiRtcsjWZianPkLIbDmfAABWu/8UJr7Ek/LTCSB+Xb1s+uqWIcQDgzNBrv7JZaxLYm7wkF96olmjQ6K9CKSEQBaUo8mndOrv8kwT4J+KgKGYU4FQgjXdMzYXB4hhV/eG6slEskIAxiZ0aOJsFVuoCLlPE+d0a8RU7U6uNugbgCXR/UpnoD7kzGL9ntkzQcDX8uOayn26Qeiph8G6Dx7F029xF1dqclh+rT6vdyjIYu7Qr1vZjUaVfzy//0Xydqv/sqvIZFIH/h4WdyVVBibWN2l4q7R6UFlz80wDMOcbr77Bx9A7BM2+QI+pY4u3Y6FtSXa8BjXyLVLCIGbK3RYZGQijXBEDzesPbqO4xoWmRlMIhXRQ+DTEjWs2B+TtbjPjx/M6BOZ068MB8PwGQZpetTFDlKG9++tZqbED6XdOt5J+yetJWTnLpWRjLbluCLk2bmLYRiGUcE3/svr5DqSCCM/ra5vsLlaIpGPgF6RjFvlBmot6f5m9XEV28/V2hY5o/abBi7m9XHEqogV1MQGWXsuNoDBoLrh2dPGdJgKbxx0URfbiBt6ifz7xrlL43qiWZWdu9SfEwgh0JKdu1jcxfQxp1LcVSqVcPPmTSwsLKBUKkEIgVQqhdHRUTz//PNIJPiPmmF6zbW372L1Lj3kn362oPQ1VhdpM2ZgNK1UPHYUbq/Se4slQhgY0i/n+WplmxRPAZ+Jc/m0V7fjwhE2Fuy34YAWoz+QzmOIC6inxjQMxH0BVO0H72tXNABDn8JZFneFTT23NI06/d2MadZwBYCKFHWSUinukpy7RhQelDEMwzCnFyEEXv7Nd8ja+Jlh+IPq9gOri0U49j5XLNPA2Bl9RAWbpQbKdXpAOX1Wv+/ZG7VdNB16mPxCQY+hlvtxjO9BgO4r/3p2DGEeEjkyfsPEaDCKpfaD/WDN2UbK1KexuYfOrgq6xzLKU/BhhWcutVLdlaA5NqtXU49hGIbpP6rFOl7/o4/I2swzBZimOtedxdvUtSs9nEQiGzvk0cfPHcm1K54KIT2g7jxQFV3Hxic1Gu19bjiNkMII6KNgiy7WnA/JWsz040tJ3q8chbgvgKFABJvd5mdrVbGKOPR6X13iLuhZU+hcT/TaBRgAuu0uGQwEgPSgfr1Yhnlc9OyEKsZxHLz77rv4xje+gTfffBM3b9489LGGYeBLX/oSvv71r+Oll146xrtkmNPFX/7Xt8h1IhtDbkydcMRxBNalSfuRWT0cY7qWjYVN6oY1OTeg3YFy13Hwqat4SmlTPAHAmnMVTUF/zuciKTwT00eE1K/EfX5J3NV8yKOPn1aXFiWRQ2JCvMYVyxjSS9zVaXZdDRlV4i4hBGqSuGuUmzEMwzCMAm68O+8aFJm8qC7eHQCWpUjGockBBDUSacsR77FECIN5/QbV5HqikIkhF9djCGPbuYu6oPf3XCyDqTAf9KpiNBQh4q6WqHh4N/1JS3L8Dvd40v5JadV715CRh1AGRlKIxEPKnp9hGIY5nbzyW++i23lwrmiYBqYuq4tk7HYsrC7SvfrExbyy5z8qtu24ehMTM/r1JgDgRr2ItkMHMZ4Z0cdhbNP5FBaoi+lL6REEeVDkyMyEE0TcVRFrGMHz3t3QAfRPLKMc865PPdGSYxl74Nwl9z4AIDnANT/Tv+jzF9xDfvRHfxQLCwuP9VghBF5//XW8/vrr+NrXvoZf/uVfRjzOf+QMo5LyTg1v/wWNvph+pqC0gNjZqLgU6aNzeoi75jfLsOx9GewGMDmrx/T6fm7Wd13F0+VRfYqnkrOCbecOWcv4g/jhzIiWxWi/kfAFsIYHBVQHuom79HfuEkK4YxnDergH7lGWIhlN00AsqSZ+s93ooCt/DnMsI8MwDKOAb/46HRSJp6PIjavbp7ZbXWyu0oZHQaNIxnbXPSwydSan3R54q93AVofuIZ8Z06Oe6IomVu1PyFrKF8BX0vr8nE8CKR/d+3al5pdX9FEqI2pSVElcEzfyPeRpe5XOXZXtKrkunNWnMc4wDMP0J47j4C//65tkbfxsHuGYOvHwxkoZjkMdgMc1+g5b3qmiazlkrTCtxx59P0IIXKlJAz2ZODJRPYTeLVHBjrhN1iZDccyFkx7d0cliJpzAm9XNz667qMMSbfgNPX7+AEiPD9AzllE4whURGw7qIz5sVCRxVw9qnaYkIIslIwhqNoDPME+Cfp3QHrC7u+tam5qawrPPPotcLodQKIT19XW88cYbWF9f/+wxf/zHf4ytrS38+3//7xEK6fOFwTD9zrd/+13Y+4QZps/E5MVRpa8hRzKmhhKIJvWYEL8jRTIOjyURjuq1mRBC4EqFuhUUMjGkNSmeLNHGsv0+WfPBwNeyBZ6MUUTcR38ntXPusiRxl0+/LU2nbcOWDktiYb3+1uVp+EQ6AtNUU4jKkYyBoB+50bSS52YYhmFOL7VSA2/96VWypnpQZGV+F/uHcH1+E/kZfSIP760XSQSEYRqYnNWvIXOtJrmLBf0Yz+gxPLdsXYEDKkL/kewo1xKKifvp3rejWU2xh35tmAfUKlQ8lYzoUZPv0XJFqaird8pSrTJ+Rp/GOMMwDNOfXP3uLWwu0T3qzLMTSl9jfZme/Q8Wslo5AM+vl8h1bjiOaFwv8TgArLRrKHapKOMZTQbPhRB/Fcf4oCbzwcAPpHnoXBUDgTBMGHD2vccdVOGHPnvhttyf0HD4vFHvELEpAMQ1qSc6ra5rMDyWUDN0vh+5RzE8qZ/RBsM8Cfp90vSQsbEx/OzP/ix++qd/Gvm8+0DAtm38xm/8Bn7lV34F7fb9w4m3334b//pf/2v8s3/2z477dhnmROI4Dr7162+TtfGzeQQVutkIIbC6QIu0UU0iGcv1FrbKDbI2OadPo2iP5VYNu3LxNKbPpmfVvgIb1BHpBzMjGAyq3/ydVhKSWKqruXNXRMPiSY5kNABENZsKqUjOXaoiGQGguksLp/x0DqZPT3tqhmEYpn/4zu9/4IpR6XUkY346B39Qj72GEAK3pGGRkUIKIY0aRgBgOQ5u1qX49HwapgbNjrKzhpJYIWuXomlMcByjcuSawkYHjrBhGiyiexw6bQvdDq17Eho5dzm2g7YUG6k0lnFbFnexsx7DMAxzNP7yv1IH4GQujgGFg4jCEVhfLpE1nYZEupaNlR3qjDmuoWsXAFypUteudCSI8XTMo7uhVMQq6mKTrL0QH0Dar4do5iRgGgbS/iB2rQeDBG1RQ9TQ4+/JEQIdybkrpOGgkDwoEvCbCAf0uE/ZtQsAoj2IZaxJ4q6RKT1+hxjmadHjdLLHjI6O4u///b+Pn/qpn4LPd/iHls/nw9/9u38Xo6Oj+MVf/EU4zv0P5v/8n/8zvv71r2N4mA8RGOaofPz6bWws7pC16WcKSl+juFNHUzpgHNEkkvG21IgJhf3Ij6c8upvDuVKhxVMqEkQho0nx5KyjKBbJ2lwkgcvRtDc3dEJxO3c1DnmkN7S6dKoj/JDvd6+QIxkjoYAyVyxVyA2TpEJxl1w4cSQjwzAMc1SEEPjWb9BBkbG5YYQUigma9Q62N2jDY+ycPm4x25UmSlKswPQZ/Q4n7zbKroj388Npb25mH7awsGx9RNbCpg9f5TjGniDXFMD9oZEQvBPSCdE/oYxyJKNhAHGNYt5b9bZrTVUso9W1UJcG4wpn+e+UYRiGeXp21kp475ufkrWZZyeUOi3tbtfQkZxo8tP6DEwvb1epA7ABjE2mvbuhQ6hYHcw3aQz95ZGsFq5YjrCw7tB6Iu7z44uJIY/u6OTiFndVH/Lo40V27QL0TBapVenZQTIS0uLvCADqZWomEIkFezIYLjt3jXCPgulzToV9wu/8zu/gZ37mZx4q7NrPSy+9hK997WufXXe7XXzzm9/s1e0xzKnimz2ejgHgcu2KpSNIZL0XJjmOwN21ElmbmM1qJ/Yod9uYb1bI2jNjehRPtrCwbH9A1kKGiR9ky2PlJGRxF1paNUJk5y4dbY9l5y7dIhmFEKjs0OJGqXMXF04MwzCMYm59uIilm+tkTfWgyPI8HUTxB30YntJnmv32Kq11ovEgBkcSHt3N4Vyr0fdxLB1FMuK9KGXdvoYOqGDkpfQwIhoexJ8EQqYPQYMePeoYzWhoGsxYlybt4+GgVucHTSmS0fQZCIbU/C1VpTrFMAyMzXLTlGEYhnl6Xv7NdyD2CZt8AR8mzo8qfY21JTrYnczFEU1GlL7GUVjYpIKpodGksu9ulXxc3cL+U+iAz8S5IT0G5LecG+hK9cRXkiMImKei3X6sZCQntA5qhzzy+JF7E0B/OHfp5ALckMRdvYhkBIBakf69jkzrNxzHME/Cqfi28fuffHOyX9wFAFevXlV1OwxzatndqODdHk/HAMDaohzJOKSF8Gd5u+JyG9IxkvFqlcbQBH0mzmpSPK07n7iLp3T+wIlw5mgk/PQ9FXBgwT2Z7RUucZeGDTnZuUs3cVej0oItvY8qnbvkWMbRGRZ3MQzDMEfjW79GB0ViqQgGC2qFV3Ik48jsEHx+PQ5pO5aNe+slsjY1N6BFrbOfSreN5RY9eD+fz3h0Nw9oOCVsOrfJ2ngoiovsANxT3I7A3oq79BlXeTSyc5dOzRgAaEnirkg0qOzzqLJDP0OGJ7IIaSAQZRiGYfoTq2u7HIAnzo8ioFjYtC6Ju3Ry7TooknFs0vs9ukzHsfGJNChyfiiNoAY1WUfUsC1ukLXxYAxnIkmP7uhkk/bTvZ/Ozl1+w4Tf0E9yIQ+LJKP6RIfKzl2xhPp7sy0bjQp9HR5AZ/od/T5pNGFiYoJcb29vH/JIhmEel1d+8204+3KoezEdUy01US1Tq1FtIhnXaHGXHYwhkeqNGv1p6Tg2Pq3S4ulcXo/iqe7sYvuAZgzHMfaGqOl3za93oc+UfUsqoCIaTsa4xV16NSPkSMZgyI9wRI0AzbYc1CtUiMniLoZhGOYoNKpNvPEnV8ja9OWCUmFTrdJCcZuKk8fP6RMDNr9ecsWoTMzp0zDa41qNDtsE/SamB7x1FxNCYMn+APulPT4Y+OHMqHbiuJNGQhrC0Kmm2EPX34C6LO6K6NOMAdzOXRGF4rOy1HweP6tPPC7DMAzTf3zw8jUUN2hSxcyzah2AG7U2KiW6zxnWyCFmebsKZ38tYRoYKegx0L2fa7UddAQ99708qocIbc25AoEH/S0DwEucKNIzDnLu0iVZRO5NhDXsTQD3zzj2o5O4y+XcFVffK62XGq61/KQ+n8sM8zSwuOsQ6nV6oPs07l8MwzzAtmx889fpdEzh3Ijy6ZhVybUrHAsik/d+cqLR7mJ1mx5OTmrYiPm0uoOucMjaM6Pex9A4wsGy/R5Z88HAD6e5GdMrTMNATG7EaBKhYjkOujb9PdXRuUv3WEZZ3JVMR5T9PdXLDZctAk/FMAzDMEfhO3/wITqt7mfXhmlg8tKY0tdYvkeHHIKRAAYLejQSAODWquQEMJ5SKqZQgSMErkvirjNDKfh93h4/bTt30RD0/ftCModsQJ/D7ZOK7NzldSzjgf0gTUtKuRmju3NXWOH9yc5dhTP6CG0ZhmGY/uMv/+ub5Do7kkJ6SG3PQI5kDIYDyOb1EU/Nb0iRjCMJ7SIZbSHwYXWTrE1nE0hrIHCvOuuoilWy9lxsALmAXsP7JwnZuet+soge/Ym2lIYRMvX6WwIAx3ZQl/oTSY3qiXql985dVUnclR5KIBL3/vOEYY4Ci7sO4cYNaq2Zz/OEGMMchQ+/fQO767SAUD0dA7jFXSOzg1qIf+6uFYnOwec3MTalT6MIuN+IuSJFMk7nEkhqEH2w5dxEC3S66nuTg8hwM6anJFwRKu5JBy84KNM+omEB1aj1mbhLaSQjfe70YALRBB92MAzDME+HEMIVyTgyM4RwTO1eUI5kHDszBNNjUdIeO5Umdqv08HPqjH4Tp0vNKmp2l6xdyKe9uZm/oiuaWLU/IWsZfxBfTOr3/p1E4n55YKR1yCO9w/sTg4ORnbt0qM3300vnrlqRDt2OzQ4pe26GYRjmdLG+sI0r37lF1maemTjk0U+PLO4anh6AYeqxy+hYNlblSEbNehMAcKdRdNUSz497PyDvCBtrzodkLWL68L1J3p/0kqjph0/aqeviAtwPzl31Wsc1fJ3QxLlLOAINaZClF+Ku2i6tKUZ5+Jw5AehxSqkhf/AHf0Cuv/d7v9ejO2GYk8Ff/lfajMkMJ5EZVju50qi3XTEqI7Pef1kLIXBbmrIfn8ogENBrwzffKKNqUTHKs2PeF09tUcWGc42sDQbCeDHBzZhe45qy16R4kidjDABBzQoo23bQbllkTbdYxrIk7kqpFHdJzRiOZGQYhmGOwt2ry1i4vkbWpp8ZV/oa5WLDFaMyplEk4+1VOsQSiQYwPOq9Q7HMtRp1P8vFw8jFIx7dzX2W7StwQPdlfy0zCr/BR2LHgWtgxOOaQsgdDgA6yrs6bQudNq17dGnG7NGq90bc5diOa5I/P8X1P8MwDPN0fPPXaJpIIBTA+Dm1Zg7djoWtdTqYnNfoLGx5qwJH6B3JKITAhxXq2jWciCCfVHde+bTsiFvogJ6jfn8yj5Bm59EnDcMwEHcli+gxfN52ibv0GzyXXYDDAT+Cfj1+Z5u1FoRD67JYDwbDqyWpX8w1BXMC4JOsA3j77bfx9tsPNnyJRAJf/vKXPbwjhulvtleL+OhV6oY3/az66Zj15RK5DoT8yI17P4GyXWmi2qSiKR0jGWXXrsF4GPmkt40YIQSW7Q9dWfY/nBmFTwNHtpOOXDxZon3II4+XRoc250KmD6Zmvw/NRte1ppNzl9WxUJNsiVWKu4qSU+PoDE+yMQzDME/PN3+dDopEk2EMT6o9lFu6S/fCkXgIA6Nppa/xtHRtB/fWS2Rtck4fJ4A9mraFew3a1DrvsWtX2VlHyVkhaxejKUyEYx7d0elDt1jGA7VdGiK7dhkGENdsWER27grH1NzfQRHvLO5iGIZhnoZOu4tXfvsdsjZ5aRQ+xQKHjZUyESqYPgNDk1mlr3EUFjYPiGQM6iVGWWnXsNWl+8TnNRg874omtqTB83wggovRtDc3dMqQawmvB0X2kJ27Qj49RFP7qVUkF2CdIhnL9Ofo95s9iYmtS/0PrimYkwCLuyQajQb+xb/4F2TtH/yDf4BYjA/+GOZpefk334HYNxniD/pRUDwdAwDrsvXx1IAWMSpyIyaWCCE7qNdnyk6niZUWnT55ZizreaRlSSyjJujEzgvxAeSD3orOTgshgxYlDtyCJS+od+h9xP36FCZ7tBpU0On3mQho8Hm0R2mrShomhgEks2rEXUIIbK/Qz+Ozn5tU8twMwzDM6aNZa+P1P/qIrE1dLijdpwohsHyPOk6NnR32fC+8x8JGCV3bIWs6Dotcr+3C2bfB8BkGzgx65whgCwvL1odkLWz68NW0+lqUORzZuctCC0I4hzy69/SHb5e7GRMPB2FqJOgUQqDVo1hGeQglkYkh5vHgGcMwDNOfvP1nH6NWpN8rMz0YOpcjGXPjGQQ0EU/dj2Sk5/7jGkYyyq5dyXAAUwMJj+7mAevOFTigQp4fSI9qUyuedFwuwLo4d3X7wbmL7tV1cgGul6mrWDQR7snflOwGPFTQ7xyFYZ4U/T5tPOZf/st/ifn5+c+uZ2Zm8PM///Pe3RDD9Dm2ZeOV36TTMRMXRuEPqP34sS0HW2t0Snx42nsVtuMIzG+UyFphOqPd5v+q5NoVCfgwO+htzIsjbKzZH5O1uM+PLyX1sbQ+6QRNKkaydRF3taW4Q58+jlh7yM5d0ZD/2P7uI5EY/k//x/+Xa20/pY0quU6mo/Armlqs7tbRadH//ee/MK3kuRmGYZjTxxt/8hHa+0TThmFg6tKY0tcobtXQkEQK41pFMkpDLGNJROP6HMwC94Ue12o0OnJmMImQh1H0G/YNdEAP/7+aGkbUx0dhx4nsBgwAXbQQhPcROzpTk5y7EpHjGWh5nFoCADqtLhxJdNorcVd+kpswDMMwzNPxzV+jDsCDhQEkMmqHrh3Hwfoy3a/rHMlomgbymkUy7nSaWGjR3s5zYwOeJzXUnE2UxRJZuxzNYJgHz48NXZ275FhGHSM65VjG43Luepx6oiGJrmI9ON9wbAfNGn0PBjVIemKYo8InWvv4j//xP+L3f//3P7sOBoP41V/9VYRCeh2aMkw/8eG3b2B3g27Mp58ZV/46W+tl2PsPFg1gWIMDwLXdmkvFPz6jjyUzALRtCzdqtAC9MJKBz/TWZWjHuYeu1Iz5gdQIghpulE8qclFiwzrkkcdLrS05d2ko7mpJ4q5I6Pju0e8P4NzZ5x76mNImFXdlcnFlr7+9TBu7AyMpDI5x4cQwDMM8Ha/+znvkOj89iEg8rPQ1liTXrlg6gtSQ91PiAFCut7FVpnviqTPeD7HI7HZbKHbpwekFDyMZO6KBTecWWRsPRXEplvbmhk4xBzU6ZPeD48R23N5dPs2GrwCgWqINj+OatH+cWgIAmpL4DADCUTU1jyzu0uFsh2EYhuk/Vu9u4fq798jazLMF5a+zs1FFt0P3NvkZffbr83Ik42hSu0jGj6rUtSvs9+HcUNqbm/krHGFj1XmfrIUME19K6jMEdBrQ1blLjmXU0rlLHhbRqJ5oSLGMsYT6e2tUWy7bZhZ3MScBffKBPOZP/uRP8K/+1b8ia7/8y7+My5cve3RHDHMy+Navv02uM/kU0j1whFpfLpHr7EgKwYj3go97kmtXZiCKRFJtM+qoXK8XYe2LxTAAXBzxdpNjCwubznWyNh6MYi6iR5PttBA06DbBEZo4d3WoyCzu9/5vXcbt3KXXPZYk0W16QN3UohzJeP4LM8qem2EYhjldrC9s48Z782RtUrFrl+O4IxkL5/PaOO3eWaPfq6GwH/lxvSbtAeBWvUSu46EARlLeOTOt2B9DgNY4P5QZ0ebnepo46B0XB4YjHg9yxCkALQeIqlJUSTqm1+CpPAUfjgRgKhoQq0uC1uEJFncxDMMwT87LUppIKBLE6OyQ8teR+xKpwQSiCT3O/ztdG2tSJOPYZNqbmzmEut3FjTqteS6NZBDwedu+3hY30QF9776UZBfg40ZX566WK5ZRr3rC6tqu4fOkTrGMJVncpf4zU64pookw4h6eUTCMKljcBeD111/HL/3SL8FxHhzw/NN/+k/x0z/90x7eFcP0PztrJXzwbSrQmX5G/XSMEALrUq59fsr76Ziu7WBpiwoodHPtEkLgamWLrE3nEoh7LETZdm7BAp0s+P7UMDdjjhldnbvqknOXjrGMrX3xUYBe4i6rY6FWpMWNKnGXEALbK9S56wJHMjIMwzBPyWu/Syelg+EARqbVRpxsrZfRluKEx8/llb7G0+I4AnclcVdhJgvT1GtPLITALakhMzuY9GzvXnN2UHKWydqz8SxyAT2abKeNA38PvNN2oWu7XcP8hl7Ho44jUK3Qejit2LHwqMjOXZGYupiXOjt3MQzDMEfE6tp49XepA/DExVGYPRAMba5SZ6z8jD7fW0vb7kjGkULauxs6gCvVLTj7Noc+w8DlEW97KF3RxJY0eD4ciOCZmF69ndOALO6y0IYQHhYTuF//Nru0T6Kbc1dZEk8ZOL6Y90chhEC1WCdrvXDuqkjC1qEC//0yJwO9Ti884KOPPsI//sf/GN3ug8Pcf/SP/hF+4Rd+wcO7YpiTwcu/9Q7EvsgDf9CHwln1jZLybgONOhVSDE97X0Qtb1VgSVGR41N62X4uNqsoW/S9uzzq7SbHEh1sOjfJ2nQ4jtEQq+qPG5dzF/Rw7qq1ZecuPQqT/bidu/Qp8MpbtLAxDCCVUfP31ag00azRRs95FncxDMMwT4EQAt/5/Q/IWuG8+obM0l3q2pUeSiCu6HvxqKzsVNGUHEsn57yvc2Q2Ow1UpJpirgduzY+DEAIr9hWyFjJMfF9SrSiQeTLc8i59nLv8hgFTsyGiWqVFzlIAIBXTS9zVkpy7IoqcxYQjUJSo5/sAAQAASURBVK/QZhQ7dzEMwzBPygevXHc19qcujyt/nXari7I0QDmk0ffWvJQqMjSaRCCoj8NQx7HxSXWbrJ0dSiHqcWzkunMVQooR/6H0qHZ7xtNAwOUMK4hDsxc0uzYsaa+e0Kw/Udqhn0vJWAh+j93w9mjV2rCkKNtkWv0ZTHmrSq4nz48ofw2G8QI9/pI94ubNm/iFX/gFNBoPPuR+9md/Fr/0S7/k4V0xzMnAtmy8/BvU+rhwfhT+HmzMVxepS0w0GUYyF1f+Ok/K3XU6vT40kkRYg6jI/VyViqdsLORpfAoAbDo34EgOUd/PWfaeEDRlcZcNIbwtnizbQVvKtNfTuUvfWMbSJi1skukofH41W8LtZfq5l8zGMDrDzVSGYRjmyblzZRmby3SfP3lxVOlr2JaD1QX6GuPn9XDtAoBbq/TesoMxJNMRj+7mcORIxlQkiJxHLkNFZwkNQfcjX0oNIcLxKZ4it8F0imUMGPo0OPeQIxkjQT9CAb3usyE5d0UVOXc1qk2XsI3FXQzDMMyT8ooUyTgwkkYyq75fsL1OUzt8fhOZvDdDDjLtroW1XSpw023w/FptB21Bz3mfG/P2e78htlEWi2TtcjSDoaB+ddhpQB4+B7wfQK9JqSIG9OtPlHbosMRAQp/f38oOde3y+02lLsB7lKRUpamLY8pfg2G84NSebi0uLuIf/sN/iFKp9Nnaj/3Yj+GXf/mXvbsphjlBfPTqTeyuU0vimR5EMgJwNWRG5oY8j+9rdtzFU2Far+Kp3G1joUk3OJdHs56+d13RxLZzm6ydi6QwGNRrSvm0IMcyAvejGf3wbhKl3nFHQ8b9ehVPQgg0m7TIixyjuMtxHNTr9G87FkvC/CuxXmmT/reUokhGAK5IxvNfmPb885hhGIbpT974k4/IdTwdRXpIbaNkfbkIq0ubCWNnh5S+xtPSaHWxui1Nmmro2iWEwG1J3DXnUSSjLSys2h+TtYw/iOfiHL/gPQY8zWLcR9em9+F2A/CeSomKu1LHKJZ8VC2xR7MqCdCiamrEepk2osKxIJJZdfUKwzAMc/LZ3ajgg2/TSL1euHYBwOYa/c4cGEv3JPrxaVjcqmB/ep3pM5AvpLy7IQlHCHxU3SJrU9k4MlH18WyPixACqzatQ4OGiS/x4LlnBA8YxLjfn/COqiTuivuC2rm6lXapc1f2GMVdj6onqrtU3JVIR5WfHzi243JvnLzAzl3MyeBUirs2Njbw9a9/HVtbDzYOL730En71V3/VdVjBMMzT8fJvvk2uM8Mp5c0Y4H5cQUXKjx6d9d4lZmGjRIonn8/AyETas/s5CNm1K+gzcWbI2wJvw7lObHUNAN+X8v7neVo5aDLGRtdTcZc8GRM0TAQPEKF5SadluabNj9O5q16v4H/+X36OrP3qr/waEok0AKAsOXdlFIq7tlaoU8aFL8woe26GYRjm9OA4Dt78Y3qoPn5uRPmB39I9GsmYG88g4pHjlMyd9SKRwvj9pnaT9gCw1q6jbtP92eygNzXFpn0TXVDByUvpPHyaHbSfRvSKZaSCzsABNY/XVKUzjrSiyMPH4VG1xB5yFLuqWMZaiTaihgsDPCzCMAzDPBGv/u575FzOH/Bh/Gxv3Hm31uhw+2BBn6GChQ16b/mxFAIaOYHeaZRQtWm0u9euXUUxjxbo2eb3JocQZRdgz/AbhmtMRE59OW7k/oRukYy25bjqieMUdz2qnqhsU9FVMqP+3io7NVd/hsVdzElBvxOMHrO7u4uvf/3rWFlZ+Wzti1/8Iv7Nv/k3CAT0cv5gmH6lslvHB6/Q6ZjpZ3ozHSNHMoaiQWRHvJ9AubdeItcjhbRWxVPXsXG9Jjns5NMIeDhZ1BY17Dj3yNrlWAZpv3fTOqedgxodXtse16XiKaZZ8QQAzYb7PYr0IJL2abC6NirSdExakbirWWuhLjVjzn9hWslzMwzDMKeLm+8vYHeDTnoWFDdkOm0L60v04H78vB4T2UII3F6l9zY2lYFfo3pij1t1ep8DsRCyxyhE2aMjGthwbpK1yXAc02H18TvMkyNrc3SKZdRtUARwO3elY3qITvcQQqBVk5y7FEWp1MuSuIsjGRmGYZgnQAiBb/8WjWQcPzcCfw/O5Zr1DmoV+n2YK+gxjNHqWFgvUgHF2GTam5s5ACEE3q2sk7WheBgjyahHdwTYoosNh7oAZ/0hPBvjvYiXGIbh6lF4Le6SnbsSmkUylotNYjwBANmEPvVEVYplTKbV/93LkYxDhSyiGkVTMsxROFXirlqthp//+Z/H3bt3P1t77rnn8G//7b9FKMTiAYZRxRt//BFs68GBqekzMX62N6poVyTjTA6G6e1UZ6XRxnaFKuMLM/pM7QDAzXoRbYdOLF8a9fYeN+xr2D+D4YOB702ya5eXGIaBkFQ82cLb4kmOZYxrVjwBcEcyBv0wPf5c2qOyXaOjTgaQyqgpoHYk165oIoyJc72ZjGQYhmFONm/8yRVynRyII5lLKH2N1cVdOPsmOQ3TwOicHpGM68U6ak06xT51JufR3RyOfUAko1euXav2xy4H4JfSw+z4ownGAd5dXiGLu3Rz7nIc4WoUpzwQTD6MTrMLR4q3VCbukoZFhljcxTAMwzwB196+h/UF6s47dWmsJ6+1tU6dsfxBP9KDamuWp0WOZPT5DOTHvR+I3+Nus4zdLt3vPD+e83Tvvul8ChvUmfSrKXYB1gE5XcQR3g6f11pSLKNmw+dyJGMyGkLAr8dAixDCFcuYTKsXXZWk5JKpC6PKX4NhvEKvE4we0mq18Iu/+Iv45JNPPls7f/48/t2/+3eIxdTFETEMA7z2e++T67G5YQRCPZiOaXSwu0UnUEY0aMjMS65dwZAfQ6PqIymfFiEErlRoJONENo5UxLtNaFOUURSLZO35eFZL4c5pQ55k18+5S7/fkVaDNmMjxxjJ+ChKm3RqJZGKKHMBkSMZz35uCqaHboAMwzBMf+LYDt76Uyru6kWMyvJd2vQZnhpAMKzHd/btVTrAkkyHkcl5N8V+GCutKlrSwMjc4PHXPTVnB0Vnmaw9G88iF9BnOvm0o1csoyTuMvXar9YqLdekvW7OXc0qbcbCAMKKzhNqLucuvQblGIZhGL15RXLtSmRjyI6ke/JaW2v0jC03nvZ86HyPhY0Suc6Pp7RxARZC4J0yde3KREOYGfBOGNcWFeyI22RtJpzAZFgPsd5pJ+DqT2jm3KWbuGuH7qcHkvo4VjWrLVhdeobQC+eusuTcNXmRxV3MyUGvE4weYVkW/sk/+Sd4550HG7vp6Wn8h//wH5BK6aNWZ5iTwOrdLdy5skTWJnqkil6TIhn9QR8GPbY+FkLgnlQ8jU9ltHHtAYDlVs01GXPZY9eudfsTch00THwhoZ87wWlEnoyxPRZ31dr6O3e1pFjGaA/ErU+LPLWSURTJCABFSdh6/gtTyp6bYRiGOT18+vZdlLfpAMf4ObUuwM1GB5vSpH3hvB5uk+2uhUX5IPKMt1Psh3FLcu0aSoSRPOaBESEEVmwqBgwZJr6PHYC1Qv7t9U7adZC4S49G5x7VshR3GPQjqEkzdo9GlbpaRCJBJWceQgiXc1d+ks8FGIZhmMejXmniTWlIZOryeM/20VvrdM8+WNBDkNxod7FepM44Y1N6xEUCwHyzgp0uTT15seBdvSOEwJrzEeREka+k9KgPmYP6E96Ku2quWEa9xV1aRTJKrmKBgA/hqNr+jhDCFcvIzl3MSeLEi7uEEPjn//yf45VXXvlsbXx8HP/pP/0nDAywtTfDqOa7f/ABuQ5Fgxia7M3f2uoidYnJT+c8d4nZrbZQkVx7xmf0KZ4A4Gpli1ynI0EUMt45GDZEERWxRtY+lxhAxKePIOY0E5KaHbbHtseyc1dcQ+eupkvcpc89ljaouCudVfO3b1sOSlv0ueeem1Dy3AzDMMzp4s0//ohcp4eSSCjeq67M7xB1iT/gw/C0HgKCe+slEhdpmgYK03o0ivZjCwd3NYhkLIlVNAStC7+UGuJaQjdczTqNnLs0i2WUxV26RTICQKsmCdAURTK2mx3XJD87dzEMwzCPy+t/+CG6+4ZCDdPo2dB5vdpCo0bFzl4Pne+xsCnFRfpN5Mf0MLkQQuDdCnXtSkeCmM15l3pSFWuoiQ2y9kJ8AGm/fnuw04rstOulc1fXdtCy6H5VJ+cu23ZQKVHx5EBCH+eumiQ8jafCyoWd9XITVof+jKbYuYs5QZz4067V1VX84R/+oWvtB3/wB5/oecbGxvCNb3xD5a0xzInk7b/4mFwXzo3A7EHMQbdru6ZjRma9n85elIqnaDyIbE6f6Ne61cV8k75vz4xlvc2zt2+Q64jpw4txFt/qgk/63RBwDnnk8SBPxsQ0dO5q1qnAUxdxl9WxUNmhTihpRZ9Ppa0KxL5GtGEYmL40puS5GYZhmNOD1bXxllRP9CKScekujSgfmRvUIqZECIHbq1SoNDKRRiis39HNQrOKjqD7wtljjmQUQmDN+pSsZfxBPBdnMYhu6OQ7p3ssY7Uki7v0mbTfoyk7dykSd8muXb6ADwM9itJiGIZhTh4vS5GMIzNDCEd7I9CRIxmDkQASCt3xj8K85Kw/MpGGz6/HfmexVcFmh37fv1jIwfSoN+EIG+sOHS6KmX58IeF9n4l5gOzc5XiYLCJHMgJAXCPnrkqx6Yp4z2gl7qJ//4mU+nuTIxkTmRgyw94JSBlGNfqdECpGyJ9iABznyRvTtm0/+kEMc8pZm9/G8i065TB2pjf2tZurZSokMI2eOYQ9LkII12TM2GRGqwiVG/VdMiPtNw2cGfJucqct6iiLFbL2YnwAQc2iMRg9sB0Hza6+kzF7NCT3vlhYD3FXcaNCTBIMw0Ba0cHT7lqJXI/NDSGqkeUzwzAM0x98+tYd12GfanFXrdJCcZtOi46f0yNyo1RroSg54kzN6Tn0cKsmidBSUcSPWdBeFqtogzqHfn9qyDWcwOiHYOeuQ+kH565GhboBRBTdY00Sdw2OZTx3Z2cYhmH6g4Vrq7j3MT1jnro83rPX25Ii3gcLevQAqs0OtqXv6XFNIhmFEHinTF27UuEg5jxw/91jR9xCB7Q2/HIqz70JzXCJu4R3zl3y4HnE9Gs1LFKSYg+T0SCCfn1+n6vSeU88qV7cJaeLTF4Y0eLzmWFUoc8nDsMwfc870pR9KBrEwGi6J6+1vkSbCbnxDAIhb/WqpXob1SYVdYxNpr25mQMQQuDT6g5Zmx1Mebq523Zuk+ugYeJZnrTXHO82wrW2u3CLaybuEkKgWZfcxcJ63GNRmipMZaPwK/r735WmAueeKyh5XoZhGOZ08faf03oiM5xCLBVV+hqya1cwEtAmQmV+gzaJItEABkcSHt3N4XQcG/ea9F7nPHDt2rBvkrXBQBhnIjyRqxtCCHQcOqDh83DWtNGhNUVEIydgIQRqkitWqkeOI0ehuivFqSga6pBjWvKTesTlMgzDMPrz8m9S165IPNSz7xEhBDalM7bBgh7n2fMbJXIdDPkwNKrH/ni5VcWG5Nr1OQ9du7qiiS3nGlkbCUZwLqJHhCXzgIAktvMylrHaouf+ug2el3bo31hWI9cu4CDnLvXD4aVN+vk8dZHTRZiTxYl37hofH8eNGzce/UCGYY7Mu3/5CbkenR3qiSJaCIH15RJZy097P9EuRzJGYkGkB9Q2o47CaruOskXFZxfyaW9uBoAtuth15snapVgaIZ6MYQ5BnowJGKZ2vy+dtg3bom4Aujh37UpThdnBuLrnXpMavM9NKHtuhmEY5nTg2A7e+QatJ8bODCt9DSEEFu9Qcdf4uWEtnGGEEJiX6onxaT0cAGTu1Euw97mkm8bxRzLWxQ4agg78fCGZ0/L9Ou10heMKdvcZ3jVBZHFXzKfP0Wiz0XXVEknNnLsc23FN3CczappGVUncNTrLkUgMwzDMo+m0u/jOH3xA1iYvjsEwe7MvrJZbaDfpGWVOk2GRBWlYZHQyA7NH78OTIITAOxXq2pUIBXDGQ9eudecqHNABhJdSo1xPaIjs3GV7Ke5q0/5aXKNBEUBvcZfVsdCq0UGW+DHEMk5dGFH+GgzjJd6fYDIMcyIoblZw64NFsjY6p7YZ89lrbdfQlhTy+WnvJzplcdfoRFqrYuCa5NqViQYx3APb08dl15l3TVk8H/depMfoiyzu0m0yBgCaUiQjAESPOaLoIIQQLgHWwJAaJ5BWo+2KZpl7nsVdDMMwzJNx4715VHZqZE21uKu4XUO9SiPPCuf1iGTcqTZRk12Ap/RwAJC5WaeiqkImjnDgeAUysmtX0hfAWXbt0pK2I0u7AB+82R87QrjEXVGNGjK1Cv188vtMRIL6iM+A+9GJwqGxmsm0mqE2l7hrmsVdDMMwzKN575ufol6m51KTl3oYySidr0USIcR6IFB4Ug6KeNclknG1XcNam37Pf66Qg88j4VlLlFAWtJd1OZrBcND7nyPjxhXLiO4hj+w9OvcnbNtBuUQ/AwY0EnfJEeyAOgfgPVr1NpqSgGzq4qjS12AYr2FxF8MwSnj3Lz8l1/6gH0OF3gh11pZK5DqRjSKm6DDxaak02ijV6aZhdCLtzc0cQNu2cLtRImvn8945AQghXJGMc+EE0hpthpn7CNCDey/linLxFPfr04jZo9mg9xgJ+bWYkGtUW+hIU4WqnLtk0VgoGkRBcTOeYRiGOfm8LUW8p3IJxNMxpa8hu3bF0hGkh/UQBMmRjLFECOmsPgexe9StLpZbVIR3Zvh4J+5booqKoJP/n0sMeBbpwjyclhTJCHgn7mp1bam6AWJaibvomUIyGtRqYAwAqju0MRuOBhAMHV2AJhzhimkZnWFxF8MwDPNovvP71LVrsJBFvIe9grUlOugwWMhq8X19b71ErsORAHJD6lz7j8L7lQ1yHQ8FcG4o7c3NANiU4hiDhokvJfksU1u8//P6jKI02J3y6+OyW95tuoYwsh6aO8hUtmkdEY2H4POrlansrNLP51A0iPyU98YgDKMSFncxDKOEd79BmzH56VzP4k3Wl+kX9LAGrl0LkmtXKOLHwJDaZtRRuHlAdMrZIe9sjytiFR3Qg9sXEuzaxTycmuTYF/fpJwZsSQWeDq5dAFDcoHbEoXAA0bia4nNXOjyauTyuRbwVwzAM0z8IIfCOJO5S7drlOA6W71En28L5vBaNGCGEK0JlfErPSMYbkmtXwGdiKqvGDfRx2bRvkeuQ6cPlWPpY74F5fGRxlw/eCZZk1y4DQESjWEZZ3JWI6NMs2qMiibtUuXY1qk04NnV5G2FxF8MwDPMIaqUGPnqNOrpOXOidS0u3a2N7nZ6xDU97f6YthMC9jRJZG5/O9Cya8knY6jSw2KqStefHBjx07SqjIlbI2ovxHKIa7QkZyv6+FgCY8HlyH44QKDbofj0bUOs8dRR2t+g+PRULIej35r06iMo2HRJLZdSLcLek3vG5z03Cp9F7wDAq4M4bwzBHpl5p4pM375C1sdneTDo06m2Ud6koSI9IRlrUaRfJWKONrKmBhKfxDluSa9dQIIyxoLfua8whyKPtHo7K1Nq0GZPQ0bmrTgVouoi7yhv0ECU7GFf2GSU7d53hSEaGYRjmCblzZRk70vfJmOKI942VMjrSXkKXSMatcgMNyaF0TJMIlf0IIXBdqiumcwn4j1HU3RUt7Do0QuW5WAZBkw9sdcUt7vJuf1zvSC67Pr9Wjm9yLGMqpqO4izZlkmk1bgByJGMsGUFqQA+3EYZhGEZf3vrzq7C7D/Yaps9UXkfsZ3OlBGefM45hGhia8F7ctVlqoC4NxRZm9Ih4f09y7QoHfDg/nPbmZuB27QoZJp6Le/8zZA7HEnQAwPBI3FVudlxCs2xAH2esktQ3zSX16rfJ4q5kD8Rd2yu75Pr8F2aUvwbDeA2LuxiGOTIfvHwdtvVgg2X6TAxP92bCcl2KZAyE/MiOeudABQDVZge71SZZG5vQpxmz1W5gq0Pv73zeu/triCLqgkbivBAf0EoMx+iJO5ZRP+cuOZZRF3FXURZ3KbJlF45AUZoMnHuuoOS5GYZhmNPD239+lVzHM1EkFDf1l+7S/Wd2JOV5tPseciRjIhVGMq3PBPAeG50Gil06qXzcjZkt+w4EHtSePhh4IaFH44o5GFnc5Te828M3JIGnTpGMwAHOXVH96h05llFVU6a6S593ZDrHZwQMwzDMI3n9jz4i1/npQQR6eBYnRzLmxjMIKIgnPip31+l9JdJhpDLei05K3RbuNEpk7bnRAQQ8cvy/79q1TNZeiOcQ4kERrbE0ce7alVy7oqZfKxfg0g4Vdw1oFMkIuIdEVDt3dVpdlLdoD+TCF6aVvgbD6IA+nzoMw/Qt70iRjEMTAwj0yBXKFck4NQDT9FanuiRFMgZDPgwM6zNheq1G1erxkB/jGe8iI7dt6toVNf04F016dDfMo3AZd3lIXRZ3adaMAfSIZQyHo/if/uH/+bNr23aw/J0OTONB4TswqCY+qbpbg9WhDbvZ59i5i2EYhnl8hBB4+8+lSMY5tXGJ3Y6F1UW6Jx7XxLXLEcIV8a5rJOP1Kn0Pk+EARlLHJ5CzhYVt5y5ZuxBLaSfQYSg6OXfJsYxRjX53HNtBvUYbRsno8Tt3ybXE3hoA2JaNWok2jXrl3MWRjAzDMMyj2F0v49pbdG9YODfSs9cTjsD6coms5We8TxSxHQeLUj1RmM5qUU9cqW6R66DPxKUR74bOt5zr5DpomHieXbu0x+3c5U0/UBZ3ZYP6iKesro1qmboAZxPe3N9B9YSJAFp12jdRLe7aWaW940DQj5lnx5W+BsPoAIu7GIY5Ep1W15VrP9oj62PLsrEpxbVoEcm4RSMZRwppmBrk2QOA5Ti4IYm7zg2nPYue6IomSmKJrD0fz8JnsJEk83Dalo2OTQu5RF84dx3/VisQCOLFz331s+utpSJWjfc/uzYMA+mcGoHn7jr9TB4YSSE7zGJNhmEY5vFZvL6GjUUa9Td2Rm09sbpYhGPT+JSxs0NKX+Np2SjW0ZIEJzpGMlqOg1t1elh6bvh4o+h3nHnYoHutFxPe14PMw2nL4i4PnbvqHdm5S59j0Vq17Zqs8ULcJdcS+6kVG657TChyQKxJ4q7RGT0+oxmGYRh9efNPr0Dsc/TxB309FQfvbFVdMe869CZWtqvoWPTMtDDtvbNtx7FxvU77EhfzGYT83rgutUQFZVdfYoBdu/oAOQrRq1jG3ToVTw0E9HHbLhdpco9hAJm4N/d3UD2xtUQ/C0zTQCyp9v62V+h5xexzBQQ1SVVhGJVwN51hmCNx9bu30N7vVGP07hBua61CmzKGgaEpbycrGq0utsp0cnV0Mu3NzRzAnUYJHWmy4Vw+7c3NANh27kLsOw32wcAzMf2aV4x+yK5dABD367c5b8rOXWHv77EoiWJT2Sj8ig5SdtZK5HqOXbsYhmGYJ0R27YomI0gPqRUKL92hkYzDUwMIRfQQic9L8capbASJlD6HxHvcbZRddcXZY4xkFMLBluQAPBNOYCBw/OIX5slwxTKyc9eByJGM4aAfQY+an4dRkSIZo/EQAgE19yjHMo5Os3MXwzAM83Be/6MPyfXo7DB8PfzulCMZk7k4YinvnXvurZfI9cBwHNG497XO9fouuvvqBwPA5RHvRGdbzjVyHTRMvBD3XpzHPBpXLKOhRyxjNuD93/8eciRjKhqC36P404OobNO9fiIdUW6Qsb1CBWQcycicVPT5y2YYpi955xufkOvcaAahaG+KB7mAyo6mEPRYOLG4RUUTgYAPQ3k1cWcqkCMZx9MxJMPeFHeOsLFzQIxKVKNpacaNO5bRG9e3qiTuiph+7Rzful0bVpc2Pb2IZZSR3bWyg+piY4vSc889z+IuhmEY5sl4+y/kSMZhpW5QzUbH5f47fk6PSMb7ESrUBXhcQ9cuALhWo+5q4+kYEsdYi5WcVXRAD6w/n+QIlX7AHcvoXbNRFnfpFOkpi7uSPTpXOQqV7Rq5VhXJ2G1baNXp//5RjmVkGIZhHsL6wjbuXFkma4XzvYtkBIB1qTehQyRju2tjebtK1nRw7RJC4KoUyTg1kDjW+mE/HVE/0LUrzK5dfYE7lvH4f26W46DcpEPdWY2cu0q7tFbOJvURngHuOkJ1JKPVtVHcoGcr51ncxZxQ9OqKMgzTV9iWjfe+9SlZ61UkoxBCywJKbsbkCymYmijiS902Vlp003TeQ9euoliEDboBfoEz7ZnHpN6ijZiEhq5drYbbXcxrcZcQArtrsrhLjQDV6lgo79ADpLnnCkqem2EYhjkdrN3bwvKtDbKmOpJx+S517fIHfVrUEQCwvltDx6LCFx0jGatWB8tSXXGcbsBCCGw4N8laPhjBWFDtgTDTG1ziLg9jGRsdKUJdo5qiVqExL15EMj4K2V0r2aNIRsM0MDzBZwUMwzDM4bz+hx+S61AkiKFC7747apUmqmX6XT2iQU2xuFmGs8/VyDQNjGmQKrLcrqJkUeG2l65du84dch0wTO5L9BFyLKPpgbir1Oi4huC1EndJzl3ZxOkSd+2ulSCcfZ+FPhNnX5hU+hoMowt6KBAYhulLbn24iFpRiiSc7U0k485mFa0mPYj1OtO+3bWwWZKiAybS3tzMAdyUXLtCfh+mc965im3btIiaCMWQ02gDzDwe3vh2uZ274n79JtmbdSpeDPp9ntsfNyotdKTPzoEhNc5dxY0ysXYzfSamL40peW6GYRjmdPDeN+mgSDgaQnYkrfQ1FiVx1+jcEPyKYsSOyvwGFWBncjHE4voJOq5LdUXQZ2J64PjqirrYQVOUyNrnEwNKHd6Y3tHWJJZRCNFnzl36fRa4nLsyappGVUncNVzIIhBih2+GYRjmYIQQeP2PPiJrY2fzPR24XlsqketQNIj0sNoo+adBjmQcHk8iqMF36NUqrcEykSDGUt4MZjjCRlHMk7WL0TTCpvfvE/N46ODcJUcyJnxBBDVxfrMtxyU+HdBI3CWEQGVHqiOyaj8P5EjG6UtjCMf0q6cYRgUs7mIY5qn55A0q1rmfM9+bTfrKPP1yTg7EkMjGevJaj8v6bp2o9X0+A8Oj3hd1e9xp0GbRmaEUfKY3H/sNUUQL9H54OqY/kCftTcObwrcui7s0asTsIRdR8Yj391iS7IiDIT+iiprGu9JzT5zLIxTRT3THMAzD6Mvbf04jGfMzg0oFO7VKC2UpnqBwXo9IRscRrgiV8Wn9XLscIfBplUYyzg2ljlXAvuMskOuUP4i5iD51F/Nw6g4VVHnl3NXs2nCkcfuYT4+mnhAClVKTrOkm7mrV22jI7mKKnLvK0mfhyDRHMjIMwzCHs3h9DSt3Nsla4VxvIxnXFmlvIj+T83zQoN7qYEMaPNchkrFitTHfpH2Ay6NZz96v0gFpIs/FuC/RT1iQnbuOv8e125DEUxqZFpSLTUjmZsjE9bm/erkJ26ICvZSiOmKP7RWa+nSBIxmZE4wepxgMw/QlH79xm1wP9cg2XwiB1QVaQI2e6Y1D2JOwuksPIHPDCfj8emhmS90Wdrt0wzk76F0DZNeZJ9cJXwBTYTXuQUxvaUjNGD+8KQxqfeDcJYu70jFv3qtqtYT/+X/5ObL2Q9P/GEFfFJlcXNlhSlGaDpx9liMZGYZhmMdnZ62EWx8ukrUxxRHvKwtUlBSKBpAb10NAtVWuuyIZdXIB3mOhWUHNpvuwC8cYyegIGyVnhaw9F8vAZNeuvsASDmo2rSeC8Ma1odyk0/Y+w9DGuatZ76DboZ8HXjVkDqolfvVXfg3lVVrr+AM+JBXFqRSloZHJC6NKnpdhGIY5mXxXimSMJsIYGE337PU6bQs7m7QPoEPM+711KqAKBH3Ij6c8upsHfFLbJlKcgM/E2UFv7ksIgV2H9rAmQ3FkAnqJ6JmHY+vg3FWntUQ2qI8zlhzJmIqGEPB75yr2sN4EcH/4PKRwKN6xHeyslsjaeRZ3MScYPVQIDMP0Ha1629WM6VWufXGrhmaDTld4Le4SQmBVshId0sm1q06Lu0jAh+GkNxvO+w2ZZbJ2MZrmhkwfYAvhcu7yG94Uv25xlx6NmP1USrThkdLQ+jc9oM7xsChFSbG4i2EYhnkSZNeuQMivfFhEHhAZmRmEYeqxB12SnGpS2QiiMf3E6x9LkSqDiTAGjzHioSLW4YCKg85FvW9aMY9H1eq61oKGV+Iuei8pf8hzx409SrvUtSvo9yEW1qve2Vqi0/C54QRMBZ+nQgiUNqm4a+YyR70zDMMwB+M4Dt74YxrJOH5upKff6evLJeKKY/pMDBa8dcgSQuDuGv1uHptMw3eM7roHYTkOPq3RAZvzQ2kEPRKaNLDtShN5jtNE+g5LyM5dx//7VJQGRbIaOXeVJLfyrEd9wMcllY0q/cwubpTh2A8EgIZh4Nznp5Q9P8PoBou7GIZ5Kq6/ew9294HowzAN5MZ7U9SsSE2ZeCaK5IC3rk+VRhsNSWwyNJrw6G7c3JUiGadzSc/EVFWx7rI+vhhLe3IvzJPRlFy7ACDggXOXEAK1Nr2XhE+v5udBUSopj5y7HkYmp0bc1Wq4Y1lmnx1X8twMwzDM6eCtP7tKrkdnh2AqbEY06m0Ut2lMidcDInsIIbC8RcUMIxpM2cuUu20sNqkI7dLI8TayivYSuR4PRZHQUOTPHExZcn3zIQC/R7GMsnNXSiMnYFdDJhHWRni2x7Yk7hocUfOZVS830ZXOVqZZ3MUwDMMcwq0PFrEtObT0OpJxXfoOHJrMwh/wzhUHALYrTZQbdG9TmPE+kvFWo+gaFL404p1z8o5zh1ynfEFMhThNpN+wPHbusmwHlRbdr2ol7tqRawm9xV2qot332F6mn9GFc3nEU94MFDHMccDiLoZhngo5kjGbTyMQVJ/0KoTAyjyd9tChKSO7dkWiASRSemzoqlYHmx26oZvOeSc823WkuJ1gFGmNDtKZw2nYbnGXD8f/s2t2bTjShI5uzl3tluWKUkmfYOeuomT9HooGMa44SothGIY5ueyul3HjvXmyNnYmr/Q1ZNeuQMivTSRjpdFGtUmHH0YKaW9u5iF8UqV1WNBvHmvUuy26KIt1snaeXbv6iopFf8+9cu0CDnDu0iiOR/eGTLPaQr1MB1kGR9R8FsiuXYlMDAMjaSXPzTAMw5w85AGRRDaG1GDvzr1ty8H6Soms5ae9j2SUXbtiiRAGhrwXLcmuXePpGDJRb/ZclmijImi8+7PxrHYCeubhCCHQlcRdpnG80gbZtQsA0n49agnbdlwD5wMJPfqUh5FSFO2+x470eXieXbuYEw6LuxiGeSo+/i4Vd6mOUNmjtFNHo04PhMc0EHet7bojGXUpDGTXrpDfxGhKXRTbk2CJNqpijaxdYNeuvqEhRzLCm+gSOZLRBBD16SXuqkqRjD7TQCyil4gxFA4gElVzT7K4a/rimFK3FYZhGOZk8/Zf0EhGf9CPoQm1TRJZ3JWfyWnzXbW0Rd2wwtEAUlm9xBy2cHBNas6cG04jcIzvYclZgcCDg3wTBs6yuKuvKEuxjEF4U5cCQFkSVOok7ipLsYy6ibt2JIeUYMivrCkjR71PXx7T5myFYRiG0QshBN7/1jWyNn4m39tIxpUSrC49H83PeCvush0H89L358Ss96KlYreF9Q51Tr6U9264piyWATwYFvbBwKWoHsM+zOPTdGxXLKMfx7tX3qlTcVfSH0TA9Na9b49qqQXp7UFGs1pCJqVo+By4/72wu0Y/D8++MKns+RlGR/Q42WQYpq8o79SwcJ0Kdnol7pIjGWPpCJI5b6dQbMfBelESd43oE8l4p14i15MDCfhMb4q7krMMIRVRZyPHN+3PHA3ZucvvQSQj4BZ3RX0Bz2JGD6NSliMZQ9rdYzoXU3bQsysdIs0+x5GMDMMwzONzUCSjz6/ueKLV7GB7gwqoRue8HxDZY3nbHcnodTNG5na95IpUuXjMkSpFZ5lcT0fiCGtyiM48HmXJuStkeCPuEkKg0pLEXZpM27eaXbQkV7GsZtP2O6t07z+YVzfcJjt3zXAkI8MwDHMIa/e2sbFIhw9GZnu7x1++t02uc+NphD126l/dqaFj0X16Ydr7SEZ5MCQS8GEy613PpCylicxEEghxLdF3lKR6woCJAI7XDXi7Roe6BwP6RP6Vi7QnEY8EEfTr+3tumgZSGXXis3q5ibY0xHOGxV3MCYfFXQzDPDGfSJGM/oAP2bz6Cer7kYxU3DU6N+R542Oz1IDtUDm8qkiCo9Kwu1hr0wmZmZx391YUC+R6louovqLhSOIuw5vDC1ncldAw1lN27krF9GrIAEA6q6bwFEK4nLtmnykoeW6GYRjm5FPcrODGu/NkTX0kI7Xl9wV8GJr0vuEBAM2Oha0yjWAbKejnRiVHMo6moscaqdIVTVTFJlnjSMb+o2xLzl0exTI2uza6No1zSWvi3FXapZ8HPtNAwqP4osPYlcRdOUXnH0IIFDeouGv6Eg+NMAzDMAfz/svUtSscCyE91Ltzb6trY325RNbGzg737PUeFzmScWAohljC272DIwRu1Gkf5+xQyrOB846oowFaz5yPpD25F+ZolG3qmhWEuuHlx2W7Ts/9c0F9nLHKRVpLZOL69ST2kx6IwTTVSVN210rkOjkQx+A4O/QxJxsWdzEM88R8/DoVd+XGsz2JOCkXG6hX6cZpVINIxpUd6gKQyUURCvs9uhuKHMkY8JkYz3gzHd0SFTQELTYvRtOe3AvzdMjOXQGPnLvqkrgr7tcrkhEAKpK4K+3xFN9BpLJqPgsalSY6LfozmX2WxV0MwzDM4/HONz6B2Jcb4A/6MDyp1gVYnrDPTw3Ap8n06ork2uX3m8jl9XEBBoCdTtM1MHJp9HjFcUVnhVwHDBMzYb3eJ+bRVKRJ+6BHzl1yJKMPBuKaxLwfFMmomwNwS4qiGRxW00hvVJroSrXeNDt3MQzDMIcgRzLmpwd7G8m4XIRtPRCHG4bhuRtwu2tjeZv2JgozvUlUeRIWWxXXkPD5obQ3NwOgJKhrV9jwYTLsbRoM83TIzl1B43h/jkIIvcVdci2hubgroziVaUcSd515fsJzcxCG6TUs7mIY5okQQuCqJO7qVSTjqhTJGEmEkR7y/kB/RSqg8mP6TJDfrVNx10Q2Dr9CJfyTUJSsj6MmF1H9Rl0T565qi95H3KeXc5cQApWSHMuoXyGVyqhxStiVXLvimShPxDAMwzCPjRzJODIzpFR41ai3XZGMY+fUOoMdBbkZMzSahK8HgzJH4WqViuOiQT+mBo63Dis6S+R6LpJAwKO6hnk6Oo6NphTtGfLIuUsWdyUDQW0O/Us7dNo+m9CnWXQQwZAfibSae5Rdu+KZKHKjaSXPzTAMw5wsauUGbrw3T9ZGZnodyUidn3KFDEJRb88kFzbLcPYNypimgbHJtHc39FfIkYxD8TCyHp2NCiFckYxnoin4DK4l+hGXuAvHOyxSbXddDsC5gB77dSGEK5Yxo3ktkcmp/fnJzl1nXphQ+vwMoyP8bcYwzBOxubiL7RXqxtQrcZccyTh2xvtIxmqzg0qDTq0Oj+kRydiyLay0aLPIq0hGIYRL3HU+mtZuApl5OLJzlx/eiLt0d+5qtyx0O7RxpZtzl+kzEU+oOVQpblBx19yzBc8/mxmGYZj+oLxTw7W375I11ZGMchPGH/RjeMr7aXYAsGwHq5ILsG6RjC3bwo0arcPOD6ePNVKlJWouB2COZOw/ylbXtXbczZg9KpK4K+XXZ69e3pXFXfoNiexnYDihbO9f2qR1xfTFMa4rGIZhmAO58tpNOPsEFqbP7FlPAgC6HUvLSMZ763SPnB9PIRjyNlGkaVuYb1LB9vnhtDc3A6CFEtqgNdf5CNcS/Yrbuet4h462atS1K2z6EdPEAbhZ77h6ErrHMmYG1Jk/WF0bZWl47szzLO5iTj4s7mIY5om4+votch2KBpFU+IW8R6XUQLVMVec6RDKuSpuFYNiP9IA308cy880K9s8Q+EwDE1lvnLLqYgtd0J/fBW7I9B2ynbbf8KY4qLnEXXo5d1XLtMjzmQZiEb3uMZmOwFDUlC1Kzl0cycgwDMM8Lu/8xccQzoNJc1/Ah/xUTulryOKu0TOD8Pn1OPpYL9Zg7/vfDwMY1sgFGAA+re3A2u8GYAAXR4/XoVN27YqwA3BfUrFpI8aPEEzDm3jUSksSdwX0EHd1OhbqNXpvujt35RRFMgJu5y6OZGQYhmEO4/2Xr5ProYkB+AO921esLRXh7Nu3G6aB0bnBnr3e41BrdrBZoqLwwszxRqcfxJ1GEQ721XimgblB72qckjRwnvQFMBLUo3/DPBlCCJQsarRw3MMiO1Ik42Awos0wQkmKZAz6TcTCegjPDsIf8CGeUtdfKm2UyfmSYRqYeYb7FMzJR48TToZh+oaPD4hk7MVmRnbtisRDyOS9d8hakSbth0eT2mzm7tRL5LqQiSPgUcTLrlRE5QIhDAb0nhpg3DRsOvnhhXOX7Qg0OlRkltBkOmYPdyRjSDuXumRKTZPIcRxXE2bmmXElz80wDMOcfFyRjNODSiMZq+UmSjt1sjauUyTjFq0lBgbjCIW9nbTfjy0ErlZoJONMLol46Pj2XkIIFG0q7joXTWm3t2IejezcFTK8ce0CgGqL3ktCk2GRstSQMQ0DKc0cgGVyw2rcEoQQKG1KdcUlFncxDMMwbmzLxkev3iBrI9O9FVrJAyNDk1kEPRZN3F0vketA0Ie8Bokitxslcj2dTSCksMZ7EoQQKAu5lkhr079hnoyWY6MjaCRi6Jidu7Yl5y5dIhkBoCJHMsb1EZ4dRCYXU3p/O9IA+sS5EYQ9js5lmOOAxV0Mwzw2juPgkzfvkLVe2R+vLlBx18jcoOcbE8t2sF6skTUdCigA6Dg2lpq0WTSdO96N7h6OsFAWK2TtAhdRfYcQAk0NnLsane6+2a/7aOfcVaJFXiqmn5AxmVFTeFZ367AtKvpj5y6GYRjmcagW6/j0LRrJOH62t5GMoWgQg+PH6zp1GEIILG9TIYNukYx3GyXUbCqCeWbseCMtm6KMNmjNxZGM/UnZFaHinbjL5dylST1RkiIZ0/EQfKa+R7V+v4lUVs3PsVlroSOJ7qZY3MUwDMMcwK0PF1GTHKvyM70Td7VbXWysUNGA15GMQghXJOP4VAamR4Pde9TtLlbbdO8+m/OuX1IXm7BAz2k5krF/KUtOwICBAI5XXLUtOXflgvqIu0pF+rmY0TzeXWUkIwDsrpXINUcyMqcFfU8MGIbRjoVra65Cqhfirnq1hbK0MdEhknGzVHfFqAyN6iHuWm5WYYPGp0xlvRF3VcQ6HDwQBRnghkw/0nBsl6gq4IFzlzxl7zMMhE1vpr8Oo1x0O3d5iW3LPzkgkVZjP17coIdbubEMUj2I5mUYhmFOHh9++wYc+8HUrc9vYnhKbVNmbYk2PMbODimLJT4qxVoLTcmNND+u1x5Zdu0aTkYwnDzew+uys0qu78eo6HOAzjw+u5K4K3TMESp7tLo2ml06nJD06+GOVdyiToO6RzJmhxIwFX2m7qyWyHUkHtJGjMswDMPoxfvfukauU4MJRHv4nbl8bwdif0y5z8RID8Vkj8NOtYlKg+6tdIhkvNsokfPjgM/ERMa7c8KSoGkiQ4Ewspwm0reU5GERxGAYxydraHYt1KUaPqdRxKfsApyN611LZHLq6kEhBHaleuLMCyzuYk4HLO5iGOaxuf7OPXIdS0d7UkitL5fIdTASwMBIWvnrPClru3QKJZuLIRjSI0ZloSm5AKRiCAW8EcDIDZlCKIa4ZjF6zKORJ+0NGPDj+IvhclOesg9p5QJn2w5KO1SM6nVTpl6qu9ZUibs4OoVhGIZ5Wt5/mTZlhiZz8CvcrzYbHVck48ist02Y/axsU5fdWCKEREqfRsNWu4G1Nn3/nhk9/oZRSdBa4kw0qdXej3l8drp0yj1seDMYVWzQ+zBhIBXwXtwlhMDOJv2bG0zp0yw6iKFRdYLU7RUqxj334jRMjV3LGIZhGO+Q64heRzIu3tmirzc7iIDHPYC7kkNNLBFCdtA7V9Q95EjGqWwcfo/cxBxhoyKliZyLpD25F0YNFY+dgOVIRr9hIK3JkEi3Y6NRo++P9s5dg+qEn41qC61Gm6yxcxdzWtBDlcAwTF9w7W0aozI43pvDfnnifngqp8XE/aok7hoa8cYZS0YIgQUpknEi682EzP0iao2szUX0cDdjngxXjArUZqI/LiVJ3JXWoBGzn/JuE45DnbIGk942ZTp1Bxdyf+2z62DIj3hMzT3VJFfFwjm1cVoMwzDMycTqWPjo1RtkTXVTZkMaEPEHfRgYTSt9jaOwskP368OaxLvvcbVKXbuiQT+mjzlSpS1qaAkqJJ+L6FFzMU9Gy7FRs+mUu1firt06PfTPBELwaSAYbNa7aDWpS7EO4q5QKIKf+9n/A9rNLq6/ef8MyGfcH9YaVinuWt4l1xe+MK3suRmGYZiTw8biDlZub5K1/EzvEj4qpSaK21R8PXHB27MvxxGY3yiRtcJ0xvMBiIMjGb1zJq6JDZImAgBnOU2krynZ7v7EcSJHMmYDEZga1BGAO0nENAzP00T2CIUi+Btf/e+x+OmDPmE0EkUkGlT2GnIkYzwdRX4qp+z5GUZnWNzFMMxj4TgOrr1LnbtyY+ot862uje11eqCfn1Ef/fikNNpdlCSlvi6RjDvdFuo2PRSe9EjcVRNbriJqlhsyfYmreDrmyZjP7kOawNBN3LW7RQ8xUrEQgh655u3RLHcxmf7cZ9fDYykEFb1vNckVbISLJoZhGOYxuP7uPJo1+p2eVyzuWlumAyJDkwMwPZoal2l3LWyXqUA6r5G4q2VbuFmn79/FkQx8xzxgU5IcgKOmDyMaxV4wj89Oty2tGAgZ3tSou1I9kQ3qMdEu1xFBvw/JqPe1TjAYwg+89JO4+9ESmun0Z+uhSADJjJq/x3azg8oO/d9//oss7mIYhmHcfPDKdXIdigSRHe6dYEd27QpFgxic9Db+cHW3irYUMa1DJOMdybUr4DNRyHjnJlYWy+R6NBjlNJE+xzV8fsz1xI4k7hoM6hN7WN6l5wupWAg+TVxwg8EQ5oa/CGN16bO13FBaqSBVFnfNPTfhueCVYY4LPf7SGYbRnpU7my7HllwPnLs2V8vEBccwDQxNeC/ukiMZ/QFTaUb0UVhoUDFcMhxAKqJOBf8klB1qfTwSjHAR1ad4XTx9dh+Sc1cmoEczZo+dLf2iVKq79J5URTI6toN6hU4F8UQMwzAM8zi8961PyXVmOIVIXN13um052Fwtk7X8tD7fUSvbVez3+TR9BnLD+gxAfFrbgS0e3KFp3Bd3HTdlhzoAz0QS2kxGM0+GO5IxAdPw5ghSdu7KalJPHBTJqFNDYnOBOmsNj6aU3d/OKhWTBsMBjntnGIZhDuQDKZIxP927hA8hBJbuUDfbwvm857HBciRjJhdDPOn9fkYWd01nE/B79F45wkZVjnePsGtXv3NQsshxIscy5gLen/vvITt3ZRSer6igKBl4qIxkBNzirjPPF5Q+P8PoDIu7GIZ5LK69TV27oskwYkn1SnV54n5gLO15pj3gFncNjiRgahAVCQALTbpRmsjGPTkUFkJwJOMJoiQVT6FjLp4AwHYEKi0pllGTXHvg/u/87gFNGa+p7tB7SqbVfFbXyw2AJlCyuIthGIZ5JEIIvP8t2pQZmVHr2rW9UYFtOWRteMr7AZE9lrbpfn1oJAmfX4/jGEcIfFyhTayZXBLR4PHWYF3RQl3skDWuJfqXbcm5K2x4I2YUQqAoi7s0mbiXnbsGFQ1kqMCxHWwvSW6ICmNut6Vzn7Ofm4T/mD9zGIZhGP2xOhauvUN7Evnp3kUybq9X0GzQc8iCx5GMlu244t0nNHDtah4QyThzzJHu+2mIbVeaCNcS/U3LsVF36M/0OJNFOpaNkjR0ntOkjgAOEHcl9BF3ObaD0ib93MoMqBN32ZaN4iY9Y5l7fkLZ8zOM7uhxmsgwjPZce/suuc6NqS8ihCOwvlQiazpM3AshXOKu4RE9ioOWbWG9TYUcBY8iGetiGxbowTkXUf1L2aJRn17EMlZbHTiSmEinWMZmvYtWk75PXou7bMtBvUSLO1XirlqJujcmMrGeiHwZhmGYk8XqnU1sLlEHmJEZtU2ZNUmEkB1JIRT1xslWxnYcrErxYyMFfabI5xtlVKWI92d6UOs9Ctm1K2CYmAjr4ZTMPDlyLGPY8KYubHZttCwaY6SDc5fVtV0NGa/riP3srpVhSfFPQ6PqPre2lul3wvnPcyQjwzAM42b+01V021TcMTTRu33q4l068JDMxZEa9NZtd71Yg2XvG2IxgLHJtGf3s4c8bO43DU8jGavSwHk+wGki/c56h55DGzARxPHVFJu1JnXfhoFcQI9zcOEIVEqyc5ce9wYA5e0aHJsO32UVOnftrpUgpPSnuedY3MWcHljcxTDMIxFC4Lo0JdOLSMbtjQraLdpYyM94L+4q1lpodWghOTiqh2hpqUUjXnymgdGUN4VUWbI+zgVCSPv1aKoxT0bHsdGQJmNCHsQyypGMYdOHsE+fiW552j7o9yEZ9VZ8Vis1IARVxCVSvRF35TVyRGEYhmH05f2Xr5PrSDystEkihMD6comsDWswILLHerFOGzIA8uP6iLuuVGkTazAexlDi+A+Gyw6tJabDcfg9ivFjjo4s7op4JO7ardMoFb9hIKlBjVrcaWD/lt0wgIGkPuIuOZIxlY0iHFHTIO22LZS2aEP4whdZ3MUwDMO4ufH+PLlOZGMIhnvzPW5bDlbn6fdf4by3rl0AsCR9Zw4MxhFS9J18FO41y+S6kIl7FskIAFWxQa6nwt6K8pijI4u7Isgca8z7RoWKp3LBiKe/4/upVdtwbHr+r1MsY3GNfj7Ek2EEFaYzba/Q4b6pi6OIauRcxjC9Ro9PIoZhtGZ9fhulLWqjOTieUf46K/IB4mAccQ2iCWTXrlg8iHhCD/eghQYt8EZTUQR8x//RLoRARWrIzIX1EMAxT47s2gUcf6Y9AJf1cUaDKfv97G5R17xcKuJJJOp+5EjGSCyIgKKIk1qRPjdHMjIMwzCPgxzJmJ8eVPp9WS010ahRIUl+Wh8B8rLUkMkOxpSJJI7KbqeFlRatdS6PZY99P2MLC1WxRdZmI9yQ6VeatuUaFPHKuavYoJ8NmUAYpsf7dQAobtNmVSYe9qSOP4zNRRqROqwwknFnrUii3n0BH0/aMwzDMAdy870Fcj0wqr4fscf6SgldybVy7Nxwz17vcXAc4RJ36eAAbAsHSy3aK5rKerd3b4saOpDuh8Vdfc9ah4qrIsbxukuvV+nr54P6uEpXJAfgSNCPsEYR57vr8hmIWtMAWdzFLsDMaUOfv3aGYbTlUymSMRwLIaY4MkA4wiXuGj2jNq7laVmVxF1Dmrh2OUK4LJAnB7wpXFooowN6QM2RjP1L2aaiqgAiMA3fsd9HSWrG6BTJCLjFXYMeuebtp7pbQ8du4LWF/wAAMH0GvvH/8OP/9k/+30jEjvY36XLummRxF8MwDPNwaqWGa+J+ZGZQ6WusLdODvUgihGTOm5hyGSEElrb1a8jscbVKBVXhgA+zg8e/h6+KDQg8cDczAUyzuKtv2bHoHt6AiZAHgyIAsFun96JDJCMAFKWBDJ1cu3a2t/Hbb/wKWXvhq/9PZc+/LX1mzz1bQDCsh+CVYRiG0QchhKuOGFAoNpZZkiIZB8bSnjvBbJbqaEuCs9GJtDc3s4+VVg1dQZ2JJzLe1V81sU6uI6YPQ5rs+ZinQwjhcu6KGsc3wCWEwIYs7gp5f+6/hxzvntbItQsA1pfW8M27/9/Prv1LPpz73L85cm8CABzHwc5aiayxuIs5bbC4i2GYR+KOZMwon+be2ayi3aRuQWNnvJ2OAQDLdrBZogevuoi7NtsNtBxa4E1kvSmkyg7NtU/6AshpJsRhHp+SRcVdQcOb4kV27tJJ3GVbDkq7tMgcVCx6fRr2nLu6zl8VeQ7Q7gJkPP4pqUmfhSPs3MUwDMM8go9evQHhPPgO8vlNDE2oPZRdXyqR6/x0znMnzT12q00029TBSJdIxrZj43qNiiwu5DOeRE2UpFpiPBRD2Dz+wQJGDXIkY8iIw/AoYnNXGhbJBo8/cvQgSpJz10BSj/sCgO3l3Qe1xF+RyamrB7dX6FAfRzIyDMMwB7G5uIvyNh247pVzV6dtYX2J7ot1iGRclFy7UtkIYhqkiciRjMOJCKIeugZVJXHXVCihTT3IPB1Fq42OJCA8TnFXqdlB26J9t2GNxV06RTJ2Wl00Kk1ST9wvD4/emwCA0mYVtiR6Pf/5KSXPzTD9gj6e3wzDaIkQAtck567BMfUWqMvz1PY/mYsjnvFeKLFZqsPZ15AyDCCX18MJYF5y7cpEQ0iGg57cixzJOBvhIqqfKcviLo8m7cuyuMvv/QHGHsWdBsS+msQAkNOgKVORXABUYVs2GpUWWeNYRoZhGOZRvP/ydXI9WBiAz69OtNNudbEjxccPT+vz/bQk3VssEUIipcfB6/XqDqx9B+YGgEs9jLo5DCEcVBzakOFIxv5GFnd5FckohEBRQ+eudrOLRp3WOTmNnLu2JcEsAPgURUbalo3dddoQPv8FFncxDMMwbm5+QCMZQ5Eg4unefF+uLuyS83/TZ3ieKCKEwNIW/c4c08C1SwiBeUnc5WUkoyNs1MUmWeNIxv5HjmT0I4KAcXzn7rJrV9TnR8Knj9NspaSvuKsoRTKqRh4UGZ0ZRHJAj34twxwXLO5iGOahbC0XsbNGN+y5cbXiLiEEVqVIxjFNIhnXpEjGTC6GoCb51fMN+nOZ9GgT0xENNFEia7NhPdzNmKdDdu4KeeDc1bFsNDrU6SKtQTNmj90t+tmQjocRUNisfhoc20FdKu5UUS+7n5djGRmGYZiHYVs2Pnr1BllTHcm4sVImA6A+v4nBwvELlA5j+YBIRh0GIIQQuFqlwzXTuQTioeM/sK6JHdige08Wd/U3srgr4pG4q9620LHpxP9A0Pt6orhDXbt8poFUVI8hFiEEtleKj37gU7K7ViJujoZp4OwLUz17PYZhGKZ/ufHePLkeGE33bB8tRzIOT+U8jwzerjTRkByARzQQd+10m6jZNH1lyqMkEQCoi00S724AmAiz0KPfcUcyqjebeBgbVfr6+WBMizoeALodG42aNBCvlbir/OgHHQG5VuFBEeY0wuIuhmEeyjUpkjEUCSKRVSv02NmsoiVFMno9HbPHqiTuGhrRo9FQtTrY6VIXnUmPpmTKkmtX2PRhLKTP5DHz5Licu4zjL4rlSEYDQCrgjTPdQexuUYcsHSIZa8UGhFBjcex6bimSMZWLIxLXownFMAzD6Mmdq8uoV6g4OD+tdo+/sVIi14MTWaXOYEeh3uqgWKP79ZFC2pubkVhr11G2qADn8ujxHpjvIce7DwbCSPr12fMxT4YQwlWnhg1v6tSdOr2PgGEirsHEfXGb7qsHkhGYph7NoupuHW3JVUwlm0t0qG/60hjXFAzDMMyB3HyfOnf1KpKxWe9gS3KaGT8/3JPXehIWN6lAIp4KIZn2PjFAThJJhALIeChSlyMZR4JRjnc/Aay5xF3HF8kIAOvyOYZGkYyya5dhAKmYPvvp/z97fxpjW5bdd2L/c+48jzFHvDnnzMoaWFWsKhYlstUkbYmC2B9acsuwIEAtyA0LAoSG1R8sNGAYRlsGv5iA3B8EGLDbECAYMNBAG+12UxzURapYY1ZlZb75xTzceR7POdsfHqMy1rrxMt+L2PfuHfHWDyDAc+rVubsi4t67117/9f/P07lLKYU6F3f9ioi7hNcPEXcJgvC58EjG8kZBu0r9YJse8GVLKe0CsoswGE/RYg2Z5XU7HKl2BnSTFAuHsGIoEq6jqLjrdjwN15JJBuHV8ZVCh01gxQzEMrYGtOGYCUcRcuzYtiilrBR3dRvziWQEngvHziKRjIIgCMIX8ZBN22dLaSQzeidK6xUae7h8c7GHvp/HYZ0OiUSiIRSXzNc4APCo3yLXhWQUawb2MkopdJi4S1y7rjY938Mg8Mm9hJMzshbelClHE1ZM3DdqdF9tUyRjhTmq6+b4WZVcv/uNO3N9PUEQBOFq0u8Msf/ohNwrrefn8lp7z6hrVzgawqrhmPfnkYz07H/jhh3uxM/OiWQ0tb9SSs2Iu26Ka9eVZxz4qLNBpEU6d008Hw3Wl7BZ3JVNxhBy7emZzFPc1W30MRnRvpU4dwmvI3a84wVBsJb7zLmrvKm3kFBK4WiPqq1tce06Zq5d4YiLQtmOjdwOm5LZKqSMCKp8NUFP0SL4bsIOAZxwMdreBNz7KWoglrHep0VUwaJIxl53jPGIWqOXLRB3dVgTWeuz2eehRDIKgiAIX8Sjn+ySa90NmeFggkGP7hdKG3pf4zIc1pnwbD1rhTtPoBSeMHHXvWUzcZFj9DAGFaeLuOtqczKhzYYQIogaGBQBgJMOFVGtWdCUUUrNOHdZJe7arn/xP7ogw94IrQo9x/jKb7wzt9cTBEEQri6PfrJDnOndkIv88nzE4jyScf3esnEn4FZvhC5LNFi3IJKx709RYY5Kt0rmxFQT9DBltcTtmNQSVx1eTzhwEMfixI2VHn19Fw6Wovbs17stakaRT9nTM+m3hzPiK53UDuggSmkth6UNO4SvgrBIRNwlCMILadW6ONmlh3vlDb0q+X53NNOUWb2zpPU1LspRk4oZllYzVjRkvCDA/og2i26WzBQuHXUCnJECheDgpgWH5sLFqbEYlTBiCDuLt/atdGkhtRQ1bz1+Sv2EfjYkomFkEubjgzq1+Tl38UbMzbfX5vZagiAIwtVHKYWHP2FRKmt6D924a1c4Gka2ZMc+NAjUTC2xYokD8MGoh2FARer3lsw4K/FIxlQojGWLBP3Cq3MypXv4hJM3Ihz0AzVTT6zGzX8+9DpjTCfU2cyGIREA8D0fNRZ1qxPu2pXMxPHmV2/O7fUEQRCEq8uDH9E6orCSQyisv5XZaQ3QblCx0tbbq9pf51XZZa5dyVQUuaL5c9Ed5toVDblYy5rbX3HXrpQbRllqiSvP8ZS+J+PIw3UWJ7g8z/03bEmaCAB0ZsRdFkUyHrW/+B9dgppEMgoCABF3CYLwOTxkhVQ4GkKurFdEdHJAv/BjyShyS+btc5VSM85dS2t2TH4cjHrwzkwvOQC2CmZ+ZjxG5UY8hajk2l9palMqtowbiFEJlEKVNWNWYnY0PQCgXqGfDcv5lBURL+3afJy7fC+YcQW79e76XF5LEARBuB5U95toVan4qqjZuat+wp6/ZsZ96jxqnQGmXkDuLa/bUUs86tMD0aV0HDlDIvVOQBsyd+LmYl0EPZxMaLMh6ZiZpK73R/AC6kdsQ5xKgw1jJGJhpOIRQ6uh1PZbCPzgi//hBTli4q4vffdNhCNydiAIgiDM8vDH2+R6bpGMzLUrnopqTy25CLsV2i9Zu2FGLM/hkYxbhTRCBgfhu4r2JW7G01b8nITLcTSmPYGkU1ro65/wARELaoizdNu03spZ5NzVmGMkI3COuEsiGYXXFBF3CYLwQh6wQqq4moejecN+wiZDV26VrNiEt/tjDMZ0on15zY5pex7JuJJNIG7gUFSpAB02IXM7bkfTSrg4debcFXcW/3ff6I9nmjErFhVS9QptyiznzQvPvImHQXv4xf/wAnTqXSj2+7j5joi7BEEQhBfz8Md0SCSaiCCt+fuyyg4OSxtm3KfO45CJorP5OBJJ8y6fvgrwdECbMneXzNQ4npqgp6hL9B2JZLzSKKVmYlSSbt7IWo5ZJGM+HEMiFDaylrM0q7SOWLIpknFnfpGMvuejwlzhvyqRjIIgCMI5eFMfjz/aI/dK6/oFV0op7D2l300bb61q7328Kp3BGK0+HbzduJk3s5gznJckcqtobkDfVx4Giorzbklf4sqjlJpx7ko4epOEvuj1T7r09Vej9vQkJmMPoyGNPczZ5Nw1R3FXvzPEsEv7VuLcJbyuiLhLEIQX8vBH2+RadyHle8FMU2b55uI2a5/HYZ0WK4lkBOms+Y2SUmpG3HXDUCHVVzUEoJvJO1JEXXmqzLkrYcC564Q1Y7LhqBXNGAAYDabod+nPaDlvvsjr1BcXybh6q4xkxp6pIEEQBME+zotk1DnAMRpO0WnS/YINU/anHDZoLbGyYceQyN6wi3FAI+FMibs6AYt3dxzcsEjML7w6XX+KIfv7MuXcddKxL5IRABpM3GVLJCMAVHYac3t2db8Bf/rZ34bjOPjwu2/O7fUEQRCEq8vOp4eYjOh58zycu+qVLgY9er639faK9td5VfZYJGMsEUZxyfw+Zn/cnUkSuVEw1wfoqwoUPnMcdQHciJlPgxEuR8ufYDRTTyzOuas1nGDMHLhtcu7irl2OA2ST5nuWwPNhjjZzb9dJnbl2pQtJbNxbntvrCYLNiLhLEIRzmYymePbJIbmnu5CqV7rweVzJjcXarL6Ig/psQ8YGR7HmdIyONyH3bhTNFFJtZn28HIkjE7YjUkK4GNMgQNunf18mYhkrFtsf11gkYyTkIp82L3TisYk64eKu2++Ja5cgCILw+TyaEXfltT6/ekTdp8LREAordgioRhMPdSYsWV63Y22P+y1yvZJNIBM3FMnIaokbsRQirhxRXWV4JGMIEUSxePGSUgrHbSr+XLOgnvCmPjot+tlQtsS5a9Qfo9uY37DIMYtkvPfhFrIlacAKgiAIszz9+T65TheSiM0hQvyQiZozxRRyS+aHlo8a9HxvbcuOSMa9Ie2VrGaTRpJETukrurdYiyYRcyXu+aqzP6b70TBiiCywnjhiA+epUATpkD39rnaD1hLZZAyuYbfBU1qV2eQPnVT3qNPi21+7ZcVnoyCYQE7OBEE4lyc/2yOTlXCAouamDI9kLKxmEU2Y3yxNPR+VFt3IrVgS88Jdu1LRMEoGrFeVUugEtCEjMSpXn7o3mrkXx+KbkXzSfiVmR9MDAOon9JBlKZ+Ea0Eh0aktTtx1692Nub2WIAiCcPUZ9cfYuU/3iUXNQyIVJu4qbRTghuw43uANmVDYRWnZvIjBC+yJZFQq+EvnrjNrkVriyjMTyejodex7WXpjD/2JR+7ZMCzSagxwxvACjgMUswlzCzpDbb81t2crpXD0lDZgvyKRjIIgCMIL2PmUDpsXVvSfySulcLRHXWDW31g2LhQIAoUqE6gvr9mxR94fU3HXVsHs3opHMm6Ka9e1YHdEa+mUs9j35RF7/63H0sY/F87SZMkdpYwdtQQA1FmvVzeVPSrIfecbd+b6eoJgM3acfgqCYB0Pfkyn7fNLWUSiemPRuLhr+aYdrl3HzT6CszbDDrC0akchdV4ko4kN5hhdTEA3k3clkvHKU2ORjDGk4TqLnXoaez5aQ+oetmJBM+aUOnPusiGSEQA6tflM2gdBgBazVL71rjh3CYIgCC/m8c/2yMSm4zramzLVI7onXtqyN5KxvJJGyALh2e6wg6mirsl3y2bEXT1Vh8/i3W9LLXHlmRV35Y2s45hN3MfcEAoR83ElPJKxkI4jYsFnAwDU9ptf/I8uSLfRx4AN73zlr749t9cTBEEQrjbbTNyVn8MwQqc1RL9Lz0DX7i5pf51XpdkbwvPpfr1swZDIwJ+iMaUDwRs5c+ehvvIwRIvc27BoMFi4GIFS2GPOXWlnsVGpJyxNxAb337O06rTOKdok7jpsze3Z/c5wpp5471fvzu31BMF27DhFEATBOh7+aJtc645kHPTHM5EEK7fsEHcdskjG0nIakah5W99x4OOITS8Yi2Rkrl3pUBhLEfPRdMLlqLJC3UgkI9uoh+CgHLXjb2s68dFuspglg4cZpyil5ubc1W30EbCDJXHuEgRBED6Ph+cMiYQ1Rnb0uyMMerQZs3SjqO35l0EphSMWlbyyYUck4yMWybiWSyIVM+Oa3AmOybXEu199lFI4YbVE0jUjujxh4q7VWMqKiftmja7LlkhGYL7iLh7JWFzJ4uY7a3N7PUEQBOHq4ns+dh/QfeI8ohKPdqkDTCITR27JvIjqpMWELbkYYhaknBywfkQk5GIpbU5UMlR1AJ8NE7lwsBqxZ18lXIzKdIix8sm9tLO8sNcfTT20R3Tg3Ab331M8L0CnTeutkiUuwEopNA7bX/wPLwiPZEwXkth6a3VurycItqPXhkcQhGtBEAR4+BPalClpjmSsHNAv+0gsjMKK+caHUgoHTNxlS0Nmf9jFWYmF6zjYNGSB3FEskjGeseLAXLgcdebcZULcxSdklmIJhBw7tOj1Kj3McB0HZQuKqPFggsnoM/cL1wnjt779HyEa+2ybF72gWwGPZCyv55Et2lPYCoIgCPbxiNcRc45kjCUjyJbs+G5q9kYYsji4lXXztcQ08LHNHIDvGYpkBGYHRSTe/erT8acYBbQZk3TMiLuOO/ZN3CulZpy7yjk7mpCj/hi95mfCM9cJ4z/45t9CIhn95b2L1hIAcPSsQq6/8lfflrMDQRAE4VwOn1YxHdO9dH5Z/571cJeKmlfvlK34bjppMiH4sh175P0R7ZWsZZMIueZ+Xn1FhePLkTgirh1nx8LF2R3Tc/cYMog4i9sv855E2HFQipg/9z+l3Ric1TTCAVCwxLmrU++Tz27XCeO3f+0/QiRy+d4EAFRZJOO737gDV97zwmuMiLsEQZjh8EkV/TbdzJTW9R7MzkYyFuEYLApO6Qwm6I9oRIgNDRkAMw2Z9XzSSIzDVI0wUFQtf1caMlcepRRqbNo+4Sz+b7/CCimrIhlPaJFZyiasiFnirl2xaBx/83/2n2g5mOLirlvviWuXIAiC8GKCIMCjn+ySe7qHRKqHTHi8WbSiGQMARw36nZxKR5HKmI+D2x524J2JZHQA3DEUyThSPYxBf053JJLxysMjGUOIIoLFNxumfoB6j9Y0q3Hz9cRwMMVoSM8ZbHHuqu23yHU8lsDf+Ov/S7gazmcmoynq7Ozny7/xzqWfKwiCIFxPnv3igFwnMnHEEtEX/OuLMexP0KpTwbUNkYxKKVSYc1d5xbybGADsj6m4y2QkIwD0VY1cb1h0dixcnF3mEJcyHMm4HE3BteScAZiNZMylYtZEvDfYfj+bzeB3fufvanm2UmpG3CWRjMLrjh3vfEEQrOLBj7fJdSIdR1KjO00QKFSYTefyTTsjGeOJCLIF8wp4pRR2BrSRdaNopsDrKmqPHXFcbEoRdeUZBB6GbNp+0c5dSilUubgrakfTAwDqFXrIspy34+++zcRd2XxSW5Obi7tuv7uu5bmCIAjC9eToaRV95ppT1DgkopSace5aumHGHeg8uAPw8nrWCuEZj2TcKKSQiJqZ9esw166UG8aKJRHcwsU5mbBIRidv5G//pDM4O9AOF8CyBfVEk7l2RcMhZJN6m9UXhUcyllYyWoRdAFDZqUGpz34jkWgY73/rnpZnC4IgCNePJz/bI9eFObh2HTGRQDgaRnkjr/11XpV2f4yJR89lSxaIuzreBB2PRtVtGjwP9ZWHIejQ+boFez3hckwCH0dsWGSRkYzArLjLpp4EADSZuKtkyaAIANQPW+S6pNF1sN8eYMiGd979poi7hNcbEXcJgjDDwx/NN0qlWe1hOqXFiq3irpUNOxoy1ckQw4DaUt8smplw5w2Zm/EUwpbE5gkXp8YiGV2EEMVii/XBxMOQfTYsxewoVHw/QLNGmzIreTvW1mHryhX0rEsphVaVOXe9K85dgiAIwot58vN9cp1Ix5HM6BPu9DojTFhUy9JWUdvzL4PnB6i26IGrDfHuvgqwZ1UkIx0UuZ1IW1FvCZfjcEL/9k1FMh61WZxRNGlFTE+dRzJmE9b83XNx19Kqvs+Hyj6LUPnVO4hbImoTBEEQ7OPxR1TcVVzNa3+NmUjG2yW4FrjfnDDXrmQqimTK/HfmAYtkjIVDKKXMORMPVBXqjJTfBWTo/BpwMBkgICMaDlLO4hz1lFIzaSKrlv1dceeukiWRjMCsuKu8oq9vyV27cuU0Nu4tVvgnCLZhftciCIJ1PGTOXbojGY+5TWc5jUTafFyJ5wc4ZoWULZGMO6whk0tEkdNsS/0yBMpHV52Qe3fidvyMhMvBIxnjzuKFjTU2hRFxXOTC5g8yAKBZGyAIFLm3ZNiG/BQey6jLbbDXGsCbULGdxDIKgiAIn8f+I7pPzGuc2ASAdoPu1WPJKFI5Ow41650BgjMONXD0HmpelMNRH56ie5ibJTPr8tUUPRajIpGMV59pEOBoTJshKdfM8NY+q+fXLYhkBIBGle7Xyzk7hkQG3RF6Tdoo0inuah5Tp0WZshcEQRBexGQ8xc59OlBcWNWbKDCdeKge0zN2GyIZAcxEMtrg2gXMirs2cvrSAi5Cj/Ul1qJJRN2QodUIuuCRjEmUEHIiC3v95mCMiR+QeytRO+oIAPCmPrpt2jcpakxaugyDzgjDLjUNKM1R3PXuN+9YMyQjCKYQcZcgCIR2vYfjHWptq9u5q8KU3CuWuHadNPtEvOE4wNK6Hc2GbUsiGXuqggBU7HE7bkexKVwO7twVx2IjGQGgysRdS1F7JtrrFVpkFtJxRCPmDw+CIEC3MR/nLh7JmCunUdDcpBcEQRCuF1zclS3p3SfyadXckj3fS8dN/n2cQCRqfq+wN6QNmaVMHImImUjGrqoAZyayQ3BwwxLxjXBxDs+ZtE87i6/xx56PCouF3UqY/4zwvWDms8uWePfqLm2WRKIh5It61uZNfbSr9PPn3oc3tDxbEARBuH7sfHIIn7n5F1b0nk2eHLShzp79u44VaSJKqRnnrrIF4i6lFPbH9Dx0w/Aehou7bkhf4lqwy/7O0q7ZSMZ0KIJUeHHisi+i1aDrc5znvQkb4K5d0VgYGU0DeEqpc8RdMiwiCCLuEgSB8PDHNJIxFAlpbZpMxt5MtNnyLTuiVI6bTLxRTiEaNdP4OMvAn6LCYi5uGhJ3dRSNUVmLJpAMmf8ZCZfnmP2NxZ3Fi7tOOmxq3JJIRgCon9DPh2WLIhkDNlmU1STuqrIYldvvbVgjthMEQRDsZP8xF3fpFVa0mKA5v2zPYT4Xd9ng2gUAe2zafitv7mfGIxk3YzJpfx3YG7EYISe/0En7U47aAyIxc+FgLWb+M6JZ74OZ+qFsyaR9dY9FMq7l4Lh69vutSgdK0Qb6nffFBVgQBEE4Hx7JmC2lEYnpPXM+YiKBpa2C9te4CL3hBEMWPW+Dc1fbG6PvT8m9DYMpBhM1wBi0trlhwV5PuBx930PDo0PnaWdloWvg4i77IhnZOUgqjrAFcbIAUGcpTaXljLb+QbfZx2hA/zbe+9Y9Lc8WhKuM+Z2LIAhW8fBH2+S6uJqH6+rbKNSY9bEbclFcW7yI5Dz4hMzSmh0NmR3m2hUJuVgzUEgppdBlDRmJUbkeDH0PDW9C7qWcxYouA6Vw3LGzkAoCNePctWKwMXoWHnWSysTgBSP8H/8v/zm5/7/9B/8HpJKv9n6t7NDYJJmMEQRBED6PUX+M6j4VCuh07lJKod2w07nL8wPU2kykbkEtMfCnqE2Yk5EmV55XRSmFDqslblvgqiRcnr0xraMzjpl4o30msFyLpxDReJZxUeoVuq5CJo5I2LyoUSk149y1vJZFf9DFv/hX/zty/yK1ROO4Ra633lxFPBW70FoFQRCE68+Tn1Fxl+5IxiAIcLzXIvfW7tgRych7ErF4GOmM+e/MfR6VFw0jn4gaWs2sa1fcDWE5YodgXrg4B6yWcBFGAoWFroGLu2yKZASAJnMBLlkyKAIADebcVVrJaKsnuGtXcSWLVQvcFgXBNCLuEgSB8PAn1LlLdyQjz7UvrecQsuBgc+r5aLBNnA32xwCwM6Q/s81CCiFN07SvwhhdTEA3krdF3HUtOGRNPwchJJz8QtdQ740wZQ5Ua5aIu1qNATyPrs0W564m+0wtLqURqABHlX1yP1B0/V9ErzVAv03/Lr70a29cbJGCIAjCa8HBkwq94QAZjUKi0XCK8YhOjtsi7qq2BwiYNU/ZAlcxHskYCblYzpjZwwxVGx7o1K3Eu199JoGPE1ZLpF0zjdID1hjdtOTviw+JLBl0vDhLt9HHeEAHfJbXcwjU5NK1BAA0jugQyr0Pt159kYIgCMJrA3fuKmoWd9WOu5iy2MfVu2Wtr3FRuANwaSVthXP+/pjWEhu5lNF1zUQyxtJwLfg5CZdjf8JdgMtwnMUNaEw8Hw3mDmXLwPkpPOK9lLFD3DUZTdFhrmLl5YyW3gQAVPfq5PrdX71rxWejIJjG/AibIAjWMBlP8fTn9EtXu7iLHfCVt+yIZKy0BzQqwXVQXDJ/GOyrALusKXOzaKaJxSft06EwyhHzU0TC5Tkc8yKqsNAiCgCOWCRjLhy1Jtu+dkwbMtlkDImYHWvj4q5CWc/n1glz7cqV09h6a1XLswVBEITryf4jetieyiW1DnG0WSRjOBJCKm/HoeZMvHspiUjU/AALryM28maGRACgw5oxuXAUBaklrjwH4wHoMb2DlLP4aerhxEOTNWU2LRhEUkqhUWUO4Tk7hkR4JGMiFUUqE9f2/CZz7hJxlyAIgvAiOo0+TnZpE7+4mtf6GofMrTK/kkEire9776IopXDcYELwVTv2MAfMuWvD4B5GKYX+OeIu4erDnbtSC3YBrvTooIoLB+WoHecMADCd+Oh1aJ1ji3NX45D2ekMhF/mSHmGcUgrVffq5LakigvAcEXcJgvBLtn9xAI9NsJTW8tqePxpO0GnRzdLS1mItVl/ECZuQKZSSCIfNf0QejvqYMlX7jaKZwqWrqLjrVlxffrZglr0xFValnMVPrh2zKKM1SybtAaB2QhujKwU7pnemYw9d1uguahJ38UjGD77zhtaIXkEQBOH6wcVdOiMZgdlp1eySHRPtwGwtUV6xoyHDnbu2DO5hugH9+7hl0V5PuDj7M3VEASFn8SEBh6yWCDsulmLmRVTd9gjTCT1jscUBeDaSMaftM3XUH2PQHZF79z68oeXZgiAIwvXj6c+pa1co7CKr6XzrlOP9Frm2JZKxMxhjOPHIPRvi3RvTEUYBXddm3lwtMUQTPqiL8w3L3JWEV6fve2h4VLi0aHHXcYel+UQTCC946P3z4OcgruMgb4EwFQDqBy1yXVhKww3p+dl16j1MhvQ9/96virhLEAARdwmCcIaHP6aRjNlyGhGN7jQ15jATjoSQXzZfrABAhUU4lFftaDbwSMblTBzJ6OIPy301RU9RsYfEqFwPxoGPypRFqSy4iFJK4Yg1ZNYtKdBVoGaiVFYMHmacpVWhnw+O4yCnIf4qCAJUWKb9B9+RSEZBEATh89l/PF9xF3fusiWScer5qDEHUhsaMvXpCEPekCmY2b8/ryWoG4PUEteDPTZpv+g64pRDVs+vx1IIWSD+5K5dyVgEqXjU0Go+IwgC1Papc9fSmr74qwZz7Yqnoti4u6zt+YIgCML14tFPd8l1fjmndcBwOJhg0GOxa3fsiGSstGgdEU9GkM6Yd7c9mdB1ZWIRZAzuYfqqQq4L4RgyYfN7KuFy7I/pmbuLMBLIL3QNPNrdtkhGPnReSMcRsmQAu8r6ByWNvV6eKlLeKGDZkhQoQTCNHZ8AgiBYwQMm7iqt6XXVqhxRIUJpI69NyX0Zpn4w05CxYdoeALYH9Gd2w1AkY1dVAHyWW+nCkemYa8LBeHDmNws4cBcepdIeTjBkroHrljT82s0hvCl1z7PFuYtHMuaKSYQ0OA42j9vw2NSgiLsEQRCEL2Luzl1M3GXPkMhsvHtpyfxe4YC5dmXiEeQSZhogvJYIwcGW1BJXnnHg42RCh0QyriFxFxsU2UjYUUvwIRFbIhlbJ1143FFsLavt+Y0jGtFy54MtK85+BEEQBDt59BMq7ipqFBwDQKNKv4/D0ZD2WuWiVNkeprRshztxlYm7ljNmY+D6qkqupZa4HuwycVfKKcNZoGvWxPNx3KV/61sWRLufpXpsZ6LIZDRFq0LXprOeqLCo3g++c0/bswXhqiOVtSAIAJ4753DnrtJ6XutrVJm4q2xJJGO11acNGQdWNGRa0xHazJb2pqlIxoBGMm7Gkoi6ISNrEfTCp+2TThGus9jfLXftSobCyFoyfcWnYzKJKJIaHQ0vAxd3FZf0fD6c7NDiaeutVRSW9RVngiAIwvVj2Bujdtgi93Q2TKYTD/0u3RfnNH3vXZbjJj2QLpaTCEfM75P3R3RdGwadRzssknEjlkTEkmlj4eLYMCQCAIOJh+aAfj7YMihSr9Baa8mWSEY2ZZ/NJxBP6qu/uHPXvQ+3tD1bEARBuF4EQYDHH1FxV2ktr/U1mkzcVVjJwnHNC6iA2TQRG3oSAFBh4q4lgzFwSgUYsESRTRF3XXmUUjN9iZSzstA1HHYGCM4UNC4crMfsqCMAwJv6M07Aq4b6gxzuAhwKuShqGsDzvVmXYRk8F4TPkNM0QRAAACe7dXTqtNApresTXw16Y/S7I3JvyRIbzRNWROVLKSsaMty1KxkNo2ygkFJKoaOouOu2ZRMMwsXZtyBK5ajDIxntmFIDgNoJi2S0ZDoGAJon9DOiUNZT3NUPafH0/rdkMkYQBEH4fA5YJCMcIKPxO7PdpHsFx3WQseRQ87jJ493N75MDpXDIxF3rOTN7GKXUjLjrtiWuSsLlmG3GLH5IBAAO23QdEcfFctS8iGo8nM6IUpcNvQ851V0q7tIZyagCheYJde669+ENbc8XBEEQrhcHTyoYssjEomZxV6PGxF2rep3BLspw4qE7nJB7pWXz+2RfKdSZO6tJcdcQDQSgjqObUTv2VMLFafsTdP0puZd2Fhvjvd+cjWS0ydCgXpk1pVi2xAm4ukf7B6WVDEKanHobR0343mfvecdxpD8hCGcQcZcgCAAw49oVS0aRyumz260yh5lILGzNtH2FN2RW7FjX9pBHMpoRvAzRhgcqzLttySS0cDlGgYfKlP5uTYi7jplz11rcjgJdKTUr7jLoenGWYW+EETv80iHuUoGambR/62u3Lv1cQRAE4XqzxyIZ0/kkQmF9h6KtOt2vZ4opLVHEl2U89dHossaHBeKu2mSIiaKx0huGHINGqosp6M/oltQS14K9ER8SKRtZx2FrtpZwLRgUqbMp+3DIRcFgY/QUb+rPxCYur+trcncbvZnIR3HuEgRBEF7E459S165kJo6Exu9LFSg0Z8RddrjT19h5aCjsIlswG38IAI3pED7xZwWW0ubW1WORjKVwDIlQ2NBqBF3wQZEQYohhse/NvRb9bLA9krGcTSKi8ZzlMswOi+j73Z2wSMZb761rHR4UhKuO+dNQQRCs4OGPtsl1ab2gVUhUZYeH5S29z78onh+g1qHNhvKq+WbDOPBxxKbtbYlkzIWiyFsSmSdcjv0xc8GAi6SzWEe9/niKzohO6dgSo9JpDTFljQlbnLuarLgLR0LI5C5/+NWpzzZj3vjKzUs/VxAEQbje7DPnrmxJ76Fou0H3LLklOw5deYyK6zooWhClwiMZ84koUoZipTuK/m1kQhEUwzEjaxH0MQ58VPmQiLv4IREAOGTvww1LagkeoVLOJuBaEAHVOGwh8D9r2DoOUF7R95naOKZnP6W1nES8C4IgCC/kERN36Xbt6rQG8D069GCLuIvXEsVyyoq9QpVFMmbjEcQMCkr6qkKutyyKzRMuzt6Y1qxpZ3mh/cLuaIIWc867Ebfjs+EULu5aLdjxtz/sjdBj7uo6nYArO1Tc9cG3JZJREM4i4i5BEAAAD38yv2x7pRSqR9SFamlLX+TjZai2BwiItylQssBRbG/Yxdmy03UcbBravHXUEbm+nbAnMk+4HLNRKqWFR6kcsSm1qOOiGDE/0Q4AtWNaZKbiEaTidggbm6xpUiintLwv60fUUnlps4Diil2FrSAIgmAfh0/ogXu2pHff2mrQPYs1DsC8IbOc0hZFcBlmIhkNOo92WSTjrbjUEteB3VGf+Dk4cJBa8JAI8HxQhDdlrBF31Zi4y5YIlV263y+U04hE9blfNFgk490viWuXIAiC8GIe/WS+4i4eyZjMxhFP2TFoUGVnosVl80MiAFCZiWQ059oVKB8DRYUemzE7fk7CxVFKzfQlFh3JuMdq+bgbQjlq3jnvlMnYQ4sNua0W7fjbr7FIxkgkhIKmtU1G05mI9w++I+IuQTiL+VNHQRCM0+8Msc+iVErreX3P744wHNAD16WtxR/8ngdvyOSLSUSi5q1NdwZ0A7ORTyJioFHkqTEGilqs3rbMnla4OPuGiygAOOrwGJW0FTEqAGYiGW2ZjgGA5gkVzOqIZASA+mGLXL8prl2CIAjCS8BriazGQ8fAD9Bp0QZDftmO/WiN7WNsGBIJlJpxAF43JCoJlI+eqpF7Ny0R3giX49mITpGnnPLCh0QA4KA1OyiyFDUvogr8AE0m7lqyRNxV2eMRKvqm7AGgxcVdH4i4SxAEQTifQXeIg8d0SES7uKtqZySjHwSoszSRkgUOwMCsc9eSwVjpIRpQYHHzIu668lSnI4wCmhyRWnBfYp/1BTfjGWt6EsBf9iXOTNOEXAdLWTvqiSoTd5VXs3A0uQ5W96iYMxIL482vSX9CEM4i4i5BEPDop7tQZ9yr3JCL/LJGG03m2hVLRpEu2LEROWmyadoV882GQCnsDOlh+Y2imQZWl8WohB0HmzE7fnfC5Rj4HmrTMbmXdhYfpXLMptTWLCnQlVKoVegB0IpB14uzKKXQYuKuoqZmcv2oRa7f/KoUT4IgCMLnM+yNUWPiYJ2xjJ32ECpQ5J4NsYxBoGYaMjZEMtYnQ0wUbYCsGhKV9FSdNGMcADfi5n9GwuVQSuHZkO6Tc+6qkbXwSMZ1SwZFWs0hiT4E7BB3TUZTtCv0rGF5Xd/ZT+AHaNfo8+98sKnt+YIgCML14vFHe6wn4SC/pFd81ahwcZdeUfNFqXeGNE0E+s72LoOvAtRmnLvMibt6ARX/LUXiiLvmB/OFy8EjGaNIIeosrk4MlMJ+i65hy7JIxhqLZFzKJa1wCVdKzYi7dNYTJyyS8Z2v30Y0FtH2fEG4Dpj/JBAEwTgPfrhNrgsrWYTC+j4eaudEMtoQxeEHAaps2r68ar5RVJ0MMAw8cu9m0Uxxx2NUbsTSCDvy1XEd4K5dLkJIOouNSx1PfdT7VGC2bknDr9seYTKi78PlgiVra/ThTeh0kw7nrlF/jD5zP3hDnLsEQRCEL+CARTLCgdZBjnad7lmS2TgiMX0RYhel2RvCZ6KzQtn8XuGQ7fGy8QjShg5DeS2xEk1IM+YaUJ2O0Gf1ataAuEspNTtxnzBfzwOzjeRcMoZYxPznFm/EhEKu1kZyu9adEbXdem9d2/MFQRCE68Xjn9JIxvyy3p7EZOyh22bDGJodKy8Kj2TM5uNWpIk0piMEYAJ1g7GMfVUl1xLJeD3gkYwpZ2Whr1/tjTD26EDUlmVpNVUm7lo11B/k9NtDDLsjcm9pTZ8wrrJLnb8lklEQZpEOvSAI+OhPH5Dr0po+gYdSCjXmMFPeXKyA5EXUO0MErCFTsiDbfp9NQecTUWQT0YWvQymFHiugbkmMyrVhh03IpJwynAUL9w7btJALOQ6WLXGG45GMyVgE6bgdUyLVXRqlkkhFkUhe/jOiwmyP46kobrxlxoVBEARBuDrsPzom1+l8EqGwvsZEq0EbHza4dgGzDZl0NoZY3Lx4g0cyruXM1TddRYV/Esl4PXg6nJ20j2Hxv9vuaIreeErubVryN1avsEjGvB01Dq8jSisZrQ4APDp+9WYJaQscywRBEAQ7ecTEXcXVvNbnN6pUHPE8rcTOWqK4bMcepsIiGbPxCGIaa7tXIVA+hqB7l82o+d6NcDk8FeBgQvfK6UVHMjaZo184jkx48f23FzEaTtFpUQHVasGOzwheT8QSEWRyegSgvdYAfSbIff/bIu4SBI75k0dBEIzSOOng2S8OyL2V22Vtz+93xxgN6YGrLeKu8yZkolHzH4sHrCGzYcgtaII+pqCbqS2ZjrkWKKWwzf7OMguekAGAg9ZsJGPIEmc4bn28WkhZ4TgIAJUdWkRx6+NIOIq/+s3fmbn3xc+l4q53v3FXa3NeEARBuJ4cPKYCnqzmidJ2gx785mxtyFgQyaiUwuGI/rzWDAkrpmqEoWqTezctcWgVLsezEd0n59xVI/vkA+balXDDKEbMxQadopRCvUprLRsiGQGguvf5dQRw8VoCAJon9D1/+32JZBQEQRDORyk1I+4qreW1vkZ9JpIxC9eSWLMK28eULKglgOeJImcx6do1ULWZiPcN6U1ceY4nQ3gskjTlLC10DXvs/bdlifvvKbwvEQ65KGXMvRfPUuORjGvZmVrwovVElQ2eZ4sp3HhbBs8FgWNexSAIglF++if3yXU4GkZ5XZ/4irt2xZIRpPJ2bERsnJDxVYAjZku7YWjavqeoBWrSDaNg0QSDcHEa3hg9n0apZNzFi7sOWSG1YYn98XPHQXoAtGJJJKPvBajt0yJqhTVl4rEE/pPf/U9f6blKKbE9FgRBEC7E/mMavZct6dtTK6XQnnHuMr9nB4AaryUsiGRsTccz8e7rhkQl3YCK/iKOi7WoHQIX4eIMfQ9HEzoAZCKSEZgVd23E01YMYwx6E4yHLN49b/7zYdAZod+iv7vlc6KpLlJLnNKq0POfOx+IuEsQBEE4n6NntRmHlqJmcVejQgUStkQydocTjKc+uVeyoC8BAFW2z1tKmxPO80jG5UgCMYl4v/LssTSROPIIO7GFvf7E83HSpbW8dZGMvC+RT8F1zdc5SilUWV9iaVVfPVHZpeKu9751D65rXpArCLYh7wpBeM35yR99Sq5Xb5W1TrDUTmgRVdooWHHgqpSaEXfZMCFzMh7AUzTve81QhEM/oAXURixpxe9OuDw7zLUrggRiWGwRM5h4aAzG5J4tMSrd9gjjEW3IrFhifdw4asH36GfEkobDqW6jj2GP/j4++M69Sz9XEARBuP7sP5qfuGvQG2PKGh82xDIOx1P0RtSd2AbnrkMeux0NI2MoVppHMm7FUghJLXHlecbqCBchpB19zt8vi1JqRty1mbBjv85du2KREDIJ80NS9QPaiInGwsgV9Z01+J6Pdo2e/9wR5y5BEAThBXDXrngqhkRGn5AoCBQaNfqdbIu4i/ckYvEwkmnzewVfBajNiLvMDelzcdemuHZdC/bGZiMZD9sDBGeMw1w42IjZUUecwp27bBk679R6mLCUpqW1rJZnK6VmXIbf/7b0JgThPETcJQivMZPxFD//3iNyb/W2XgvUOnPuKq3ntT7/ovRGU4wmVLxhQ0OGRzKWUjEkImZMFrlzl0QyXh+2WVxPxllZuHCPu3ZFHBfLMTvcHLhrVzIWQdpQY5TDIxnzpRRiGtbGXbuKK1ms311scS0IgiBcPYa9MWqHLXIvo1Hc1WKuXZF4GIn04qZ6X0StQ5seobCLrAXuxOdFMpoYzlBKocOcuySS8XrAIxnTzhJcZ/EOCs3BGEMm/LTFBbhRoe/DJUPvQ079kEYmlpYzWtfVrnWhznTKHMfBrXfXtT1fEARBuF48ZuKu4lpe6/dSpzmYGY60VdxVWrbDfbQxHSEAjcsz5dwVKA8D0DNQEXddfcaBj2MW/ZlasLhrr0XP/ddiKUQscoQb9CbodegA9qolQ+eVXfqeTKZjSGkS5XbqPYyHE3Lv/W+JuEsQzkPEXYLwGvPJ959izJTWOsVdw8EE/S7diJQ28tqefxmqTFgSjYeRyphvFHFx17qh+IaJ6mMKutHesER4I1wOTwXYZxMyJiIZ+aT9ejwN14KDDGB2Oma1kLLikAWYLaJWNvQcTJ3sUNvjD77zhjX/mwVBEAR7OXhCBTxwgIzGqdJ2g+4X8kt6xQgXhTdkCuUkHMMxCUopHPJawlC8+0h14WFE7t20xKFVuDiBUtge0r+xnLFIRvoeTIciyIXNO14AQL1KP7dsiGQEgAYT4pZW9Irhmmywb+12GUmNDiyCIAjC9eLxR7PiLp20m3SvkMwlEEvasVdodOmgSMGCeHcAqPPo7XgEsbAZ0ctA1YEzQjMHwLpEvF959sZ9Ih904CK1QBdgpRR2GrSe2bRkQOSUkwM6kBENh1CwZE9d2ab9g+V1fYLZ2j7teZQ3CljeKmp7viBcJ0TcJQivMTySsbiWR0xjXAB37QpHQ8iV7TjUPy+S0XSjyAsCHLNpe1MNGe7alXBDKIXNi9+Ey7M/HsBnU1iLtj8GZhsytkQyKqVmnLtssT4eDyZoV6jwbFmDG2LgBzMF1AffeePSzxUEQRCuP/uPjsl1OpdESGMDgDt32RDJCAA1VkvY4ADc9Sbo+XRwx1S8e1fRqM5MKIKCJcIb4eIcTQYYK+qAkTUm7uKRjHYIP6cTH50mizPKmW9ETkZTdOr0Z1Ze1i3uoo2oOx9IJKMgCIJwPpPRFLsPaB1RXNXrqsWHRGzpSQSBQqtHhyDyRfMOwMBz566zFJPmegE8knElkkDUIncl4WLsjllahlOG6ywutaY5nKA7pjXzrYSeWEFdHDNx13rJjoF4b+KhzoZFVjQaeVT3aYT8O9+4re3ZgnDdEHGXILymKKXwkz++T+6t3dEbyVg7oSKE0nre+ET7KVzcVVwyX+CdjPszopt1QwfBvYAWUBsxO6IkhMuzM+JFVBFhZ7HNtt5ois6I2uxuWCLu6rZHGI9oZOuKJdbHVebaFQq7KGn47GocteCxWJv3RdwlCIIgvAQHj6lzV1ZjJCMAtJkYIWfBnj0IFGod+2qJQ+bMGo+EkNc4uPMqdM+JZJRa4urzlLl2xZ0cos7i69VAKRy2mbjLklqiUaPrch0HpYz5hm3jiDaJ3JCDfEmvKLXFhvtuv7eh9fmCIAjC9eHZLw4Q+GcE4w5QWNYrsODOXVlLxF2dwRh+QM//c0XzQnBgVtxVsEjctSGRjFcepRR2ZiLeF5smstNgrx+KoBQxv1c/xfcDVI/oGjfKdgy4VfeaCHwawb68pudzWymF2gHte7zz9Ttani0I15HFSWIFQbCK/ccnM2rotdt63XtmxF2WRDJOPB9NNiFTWjZfIOwz0U05HUcsYmYipc+cuyTT/vqwzf7OMgsuogDggDVjYm4I5agdhRR37UrGIkjHI4ZWQ+GRjEurWbihWZ3+YNjHv/x//p/Ivf/s7/4zJBPnv49Pdqml8s2315DT3JwXBEEQrif7j6lDk05x12g4xXBAxeA5zU4zF6HZG800ZIpl8w0ZHsm4ljMznBEoH11WS0gk4/XgGWvG5AzUEQBQ640w8aiDmC2DIo0KfR+WsgmEztmvL5r6QYtcF8vpc+sI4NVrCQDwpj46dfq/XZy7BEEQhBfBIxmzpTTCUX2tSqUU2jMOwJbsFXrU4TORjCAWt6NNO+vcZSYKLlAehqBnoNKbuPq0/Ak6zGl68eIuul+9mchZNYRUO+7C92kc6UbJ/BkIAJywSMbSSgaRF3xuv2o90Wv2MWZnP+LcJQgvxo5dgyAIC+cn/5a6diUyca0TLJOxhw6bkLFF3MVjVBzXQb5kviFzwBoyply7JmqACdgkdFQKqOtA15ui4Y3JPSPiLhajshFPW1NI1Y5p02q1YIfThFIKlR16sPEi62M/8PBw+xcz915EZZc2YCWSURAEQXhZ9h+x+D2N4q4WEwqEwi4yFkQlc9euVCaGmAVC8EMW775mqJboqwYUqCPoDWnGXHk63gS1Ka0jbIlkzIdjSFsS+1mv0LXZEMkIYCZCpbTy4in7V60lAKBV6UCpM40o18Gtd9ZffaGCIAjCa8GTn+2R6+JqXuvzR8MpJmP63WVLLGOzSwVUOUsiGSeBj65PxRWmYhkHqg4FKnBZi9qxpxIuzi7rfYURRxx641g/j9HUxzGr5a2LZNynTrjlXBKxiHkZh1JqRty1+jm93letJ2oH1ISksJLFyo3Sqy9UEF4TzI+PCYJghB//8afkeu32klYBQ71CBRJuyEVes73yReGRjPli0vg07TQIcDKm69rIm2mCcNeuuBtCOWLOhlnQxw7LtQ8hgqRTXOgalFI4aM6Ku2xAKYUqc+5asaCJDADdRh+jPm2oLa9fvgCejKZoHNOYFhF3CYIgCC9Drz1AjQkGchqnSrkLcH45Y0XEOx8UKS6Z3yv0vSnaTMC/ljUl7qKHvsuROBIh8wfSwuV4PKTvxxAiSC24jjhlv0n365sJO2oJ3w9Qr9K1LeXNNyJ9z5+JTCxpdkE82aFnCFtvriKekjMEQRAE4Xwef8TFXXoFHty1KxwJIZmzQ0TV6FLnLlsiGZvMtcsBkE+aEc/zSMblSAIx10y6iaAP3pdIOysLHajea/Vw1n877DjYjNnhigU870scH9AzelsiGXvNAYZMmLqymdf2/Oo+HWh/+1duWzFsLwi2IuIuQXgN6Tb7ePjjHXJv9Y7uSEZ6eFhYzSIUtuMjh4u7bIhkPB73EbCJlFVDU769gGXaR81Eugj64ZGMaWd54b/b1nCC/oROamwl7ChUuu0RJiO6tpWCHc0i7tqVSEWRzl7eHr2638DZyjYSDePtr4vtsSAIgvDF7N4/JtduyEGmqG9fzYdFrHEBZtO+xbL5WuJoTIXzkZCLUtpMjEo/oOKujZgdDSvhcjwa0vo+567BcRZf30/9AEdt2hTdittRSzSqfQQ+jWxdyZuvJRpHHbouBygt613XyTYVd33p197U+nxBEATh+tCu91Ddpy4tup272myoNFu2IzFAKYVmjzl3FSwRnTFxVzYeRdg108vh4i6JZLz6eCrA3jnirkWy06DnC5uxjLG/8fPodcYY9Kh7nq2RjPFkFNm8ns8upRRq7DvhnW/c0fJsQbiu2PPJJQjCwvjoTx9CBZ8d7oXCLpa39E7d8mizskYl92UIlLJy2p5HMpYzccTCZiZSuHPXpjRkrgWBUjP2xxl38ZGMfNI+HYogH7Zjqrt2TNeWjEWQtiBmCZgVd62s57UcTFXYlP1bv3ILUUv+NwuCIAh2s/PpIbnOFNNwNbnh+n6AJnPAKa7ntTz7MoynHjoDeuBasKCWOGR7vNVsAq6BBpZSCn1F9yzrUktceQa+h0PmMp13zUTuHbX7CBQditq0ZFCkys5AipkEYhHzLhN1FnOSL6YQiepz0xsPJmieUJeBD39dxF2CIAjC+Tz80Ta5DoVDyJT07qc7TbpvyVoSyTgYTzGe0vjyvCXOXVzcZSqSMVAehqD1hIi7rj574z48RYcgFinuCpTCLutJ3EwsLhLyZTjep/vpZCyMgqGBLc7JM9o/WN3Q05cAgEFniCETvb4jg+eC8LmIuEsQXkN+8sf3yfXSVgkhjUKi6dRHq043S6WNgrbnX4Z2b4SpH5B7pSXzBR5vyGzkzBQtUzXCGHQt61JAXQuOJ0OMFf3bzyx4QgYA9tn03GYiY8X0HDAb/7RaSFmxNt/zZ5oyyxt6CtCTXTp588G3JZJREARBeDl27h+R6/ySvgj2Zq2HIKCHv8U184evNeYY5IYcK6bteS2xZsgBeIQufEzJvfWoHQ0r4eI8GXZJhImLkJE6AgD2WC2xGkshaklMT/VotpawgdpBi1yXV/V9VgOzkYyxZBRvffWW1tcQBEEQrg+ffP8puS6t5+Fqds/hsYw5S8RdDRZrFo64SKbNRB9yuLirYCheeaDqUCzdZE3qiSvPsxHdJydRQthZ3N/YcWeAsUf7IjcTevfEl4VHMq6X7OiZeBMP9cMWuaczkpG7dmUKKWzc05syJQjXDRF3CcJrRuAH+OjfPSD31u4saX2N+kkXZ4X4jutY0YwBZiMZk+ko4kmzLjVeEOCETUKv580ULQM2aR9xXCxH7JgQEC7HNiuiYsgg6iz278wPFA7Ze9CWGBWlFKrMuWvFkoZM/aAFnxWgyxo+U/udIfot+vv44NdE3CUIgiC8HNy5K7ek7zu9zgTX2XLaCmdJHslYKCXhumYPXMe+hzprxqwZGhQZBLSWSIfCyITN/96Ey/GYRTJmnVW4jhlBFXcBtiXe3Zv6aNaY8KxovpEc+AGaR7RRVF7R+zOr7tP3/XvfvItITJ8zmCAIgnC9+OQvqLhraVNvmojvBeiygYysBYPdANDs0nXlikkrxBsA0JjStZly7uKRjMuRBGKWCPmFi6GUmhF3Zdy1ha5hp8GMKCIJZMJ2CCsBYDrxUT9h5g9lO+qc6l6TRLw7joPlNX3CuOoBrSXe+fptaz4XBcFWRNwlCK8ZTz8+QJ8VOKu3NYu7KnSzVljNImxBHAEA1DqsUCmbF280piMEoM4Eq1lD0/aKHtwvR+JGIl0E/Twesiapu7rwNRx3BjPOeZsJOw5YWvUBJmOP3Fsp2LG2Y2Z9XCinENXQMOGRjJlCCjffWWxxLQiCIFxNvKmP/Ucn5F5eo7irxuqJ0kZe27MvAx8UKVhQSxyxIZGQ42A5Y2Y4YyaSUabsrzzjwMfuiIqWcoYiGbujKZosFtUWcVe90qcDbg6wbMhB7yzNk87MkEh5Ra9LQf2QTtu/8807Wp8vCIIgXB+6zT52mftvWbO4q9segqW/IVuy43yvwaLH8kXzDsAAMAl89HzqvmuLuEsiGa8+NW888/eVcRYs7mIDIrcsc+2qHHXI55brOFizpC9xsk1TP0rLaa0R79y5651vSC0hCF+EiLsE4TXj5997RK4zxRSSGb2FRKPKmjFrea3Pvwwz0/ZL5guE6oRZRSeiiGqMyXwVxor+7ooRM4WcoJfGdIy6Nyb3cs7GwtexxwqppWgCyZAdbg4nh8yRIBlFJmF+gkcpheNntIha29ITc1thkYzvf/uudit8QRAE4Xpy+LQCb+qTezlNsYwqUGgw567Sel7Lsy9DoBRqTNxVtKCWOGKRjMuZBEKGvs/7ih7MrsXsaFgJF+fZsAefROM4yBkYEgFma4mYG8KyJQLC6jH9zCpnk4gYqunPUt9vketcIallSOSUyWiCboOK/97+2i1tzxcEQRCuF/d/8Ixch8Iuiqt60z7a7HspmY1b4yjZ4M5dBTv2MTyS0QGQN3AmGigPQ9BhERF3XX2ejeiZewRJxLA4cVVnNEFzQPsitxJ2pAydcrxPf0YrhZQVtYRSCpUd2j/QGck47I3QZ2cs73zjtrbnC8J1RTp4gvCa8fGfUXHX8o2S1ucHgUKjSg9di+t2bJamno92n27kCmXzRVR1TAu7pbS5GMQRmLgrLOKu6wCPUgkjjqSjdzLuZdhjFsg3LJqSqTBx13rRDheAXnOAAXdb3Ly8uEsphcoeF3dJJKMgCILwcux8Sifuk9m4ttjEdmuAKROOlTbM1xPt3mjGgbRkQcTL4Zg2sNYMuQX5aoqRovFva5YIb4SLw+uIjLOMkGNmOGMmkjGescZlmou7Vi2ZtK8dtMh1SXMkY/2QPj8SC+PWu2ac3QRBEAT74ZGMpfUC3JDeFmW7yYaoNboLX4bJ1Ed/RN2LbHHu4uKuXCJqZFhkoOpQZKhA6onrwDOWJpJx1hYau8cjGRNu2JoBEeD5Gf3JAa2jN0p2fG71W0MMOvTzYVWjq3qNxbunsglsvWlmkEgQrhIi7hKE14jRYIIHP94h95ZvlLW+Rrs5mLH9L66Zb8YAQJ1NxzgOkLdgQqY6oesqGxJ3KaXEueuawiMZc+76wrPL++Mp6kxcecOSGJXJxEOjShuj65YUUTySMZ6MIle8/OdWu9rFZEgPlT749r1LP1cQBEF4Pdj+9JBc58r6BNt15tqVzMaRMDj8cEqFTZQm01HEk2YdSL0gQIXFMpoSdw1Ui1y7AJYi5n9vwsXxVIBnzBnOVCRjoBT2m3S/bk0tMfbQatD34WrRvMtEEARoMPHV0up8IxnvfmkLYY0xLYIgCML14tPvU3GX7khGYFbclS3bIbhu9FhfwnWQydmxV25M6doKlkQyLkcSiLnm3YuEizPwPRyzv6+FRzI26PnCzUTWmgERAGjVBxiPPHJvo2xHnXPCXLviiQiyGvupVRbJ+Nav3NIu+BWE64i8SwThNeL+D57CPzMF7zgOljQXUY0K3Syl8gnEkuajzQCg3uHWxwmEwmY/Bn2lULdE3OVhhAB0I1kM2/G7Ey5Ox5vghBVRJiIZeTMm6rhYtcRau3rUpbn2roOVgh1rO35KxV2rm3ktwjweybhyo6T9+0AQBEG4vuzep85deY0T8VzcVdI4GXoZqkzcVVo23yg6GfcRsOn2lawZB4C+olO3S5E4IhL3fKXZGfUxVXRwK+cuthlzyklniAlzzrPFBbh20sOZtyFCroOlrPkhsna1NxOfq9u5izuDvSWRjIIgCMIL6HeG2H1wTO7pPodSSqHdsFTc1aXuN9l83BoRQ5M5dxUNibsGoGeVEsl49XnKIhldhJBylhb2+mPPx0Gb9iRuWlJDnHK8T127Mokosobeg5zKNn1PLm/o6UucUjugZwjvfF0iGQXhZbBj9yAIwkL4+fdoJGNxLac9c77OxF3FtbzW51+GGmvIFMrmC4TmdAT/7EkwgHLaTENmxFy7wo6DTMisG4FweZ4w164Qokg7eh37XoY9HqOSsCdG5eSA5drnUwhbcMAyGU3ROGTxRluXj2QEgCqzPX7/W3e1PFcQBEG4/iilZp27lvUckCqlUKvQ72VrxF0teihcXDJfSxyxSMZSOo5o2Mx0+yCge4u1mHlxi3A5eCRjyikh4pgZROK1RCkSRypsR61aY5GMS7kkQhbUEjU2CZ/JxRFP6Bve8r0AzRNaq4i4SxAEQXgRj36yA3VmstINuSis6E37GA2mmIzp4HLeghh1AGj1qIAqr8GVXxc8ltGEuEsphSFzApZIxqvPI1ZPpJ1VuM7i6tXdZg/B2YFuOLgRt0vcdbRH99Oblrh2eVMf1T1aT6ys6/vMHg3G6DboecbbX7+j7fmCcJ0xf9ogCMLC+Pn3HpNr3ZGMwKy4q6TxC/+y1Jhzlw3iriqLUcnEI4hHzDRkxoputovh2MKj+wT98CIq66zBcRb79R8ohb2ZGBU7CimlFCqH9GdkSyRjZafODr4cLK1d/ucWBAFqB7Q4e/dXRdwlCIIgvBzNkw56LO4kp+kActAbYzSgscGl9byWZ1+GwXiK3oity0Jxl6lIRqXUjHPXWtTMwIqgh0ApPGVDInlDkYzArLjLlloCAKpM3LVatKOJXGeuWqUVvT+zVqWNgLmpvfGVG1pfQxAEQbg+PPzxDrkurGS1J2q0mFAgHA0hmbNjT9rscecuO9Y1Dnz0fFrnmIhlnGKAAHQdEvF+tRn6HvbGLOLd2VzoGp7V6T59M55B1KKoz0FvjHaT9iy3luyoc2r7TbLXdxxgRePgXZ31JmLJKG6/Z67eFISrhIi7BOE1oVnpYO8htT5euVnS+hqD/hjD/oTcK1oi7hqMpxiMWaFSNj/9UWWRjEuGIhkBYATmuha2w/5VuDh938PBhDVfDTRlqt0hxh6NBNlK2CGg6rZHGLIm8rolDZnjZ9T6eGkth7AGN45WpQtvQicZ3/mGTMYIgiAILwd37QpHw0hpaprUWCRjNBFBumB+z84dgMMR13hDJlAKxyPawFo1FAU3wQAexuSeOHddbQ7HAwwDun83UUcAwHDqocqijGypJUbDKToturbVgvlaQik1I+5aWtXbKKof0udvvrGCtCGBqSAIgmA/D5i4q7Sux5n+LO3mbCSjDYPLgVJo95m4q2CHcIlHMjoA8hqdPl+WEXPtijkhSRS54jwZdUhejYMQMs7iIt69IMBOg54v3Ena0as85YhFMkbDISzlzA+RAcDJsxq5Li5nENWYAlVlLsNvffUmQoZcyAXhqqE3j00QBGv5+M+oa1c4GkZhVe9mplGlSvxILIxM0Y7NSJ25doUjLjJZ80UUF3eVDYq7xiyWsRgRcddV5+lwNtc+46wsfB3ctasQiSMTXvxBwXnwSMZkLIJcyvzffhAEONmmRdTaZv6l/ruhUBhffe9bM/dO4ZGM63eWUNAUpyUIgiBcf55+vE+u80sZbU2TWRfgvBUNmSoTdxXLKTiu2XU1pyNMFHXNWc2aEZwNWDMm4YaQk2bMlYa7/yacHGKOmdp+r0HPGcKOi/W4HecMPJIxEnJRyph34mhXu5iyWKrSyssJ4r6oljilskcHUd766s1XXKUgCILwuuB7Pp58tEvuzcOdt82cu3JLdojBu4MJ/LPZcAByBfP7BWA2kjGXiCLkLt4ThEcyLkXiVtSBwsXhEe8ZZxWuszhJwn6zD4+9724nLBN3nRPJ6Bo+ZwCeD4qcbNO9/uoruHa9TD1RO6D9CYlkFISXR8RdgvCa8NM/eUCul7aKcDVv1Ots0r64lrNmE17r0IZMvpQ03pAJlEJtRtxlrrAbMXFXwRLxjXBxHrMolYyzttBc+1N4Q+aGJZP2AM6JZLRjqq951MF0RBsyq5svN9WYjKfwj/4X//kL//MaE3e9+02JZBQEQRBenoc/olP3eY1RX3xYxBYX4Jl4dwsiGXkdkYqGkYqZEVTxIZGyNGOuNEqpmTrClGsXcF6cShqhBcfMvwgeybicT1nRkDnZpvv9dDaO5EsOsHxRLQEA3sRDlYm7JOZdEARBeBE7948wHrKI87U5OHc1eHS8eTdNAGixSMZYPIxY3I5BiMaU1hRFA5GMADBCi1wvRc0P5QsXZ+h72LUsknEtlkLSogGk6cSfGRTZtCSSsdccYNBh7sQvOXQOfHE9MRlN0a7S/+3vfOP2K61REF5n7DgNEQRhrnhTHx/9KRV3rd4sa3+dRnVW3GULvCFTLJtvyLSmY3hs2t5ULKOvpvBAN2zi3HW1GQU+dsdsYs1AU2Y09VHp0vffzYQdhYo39VE7oYXmRskO4dkxsz7OFZJIpi//ngyCYGYy5t1vymSMIAiC8HL4no9HP6XirrKmSJXpxEOHRanYUE8EgUK9M+vcZZrZIRGTDsBMlCdDIlea48kQXZ82YPOOGXGX5wczgyI2xalUj+naVi1xLq/sUOHVyitM2r8MJ7t1BP5nTgihsIsPf/0tra8hCIIgXB8eskjGdCGJWFLvftGb+ugxMYItzl1NJu6yxbULmHXuKhgSd3HnruWIPT8j4dWZjWR0kV5gJGOgFLZ5JGMiv7DXfxlODjtQZ35IruNgvWiHIJX3JRLJKLIFffHr9UMayRiJhnH3gy1tzxeE646IuwThNeDhj7fRZ+Km1TvLWl/D83y06qzpYcmkvVKzDZmCBQ2Z6oSuKRUNIxE1Y6jIp+0dAHlpylxpno26CM6UUQ5cZJ3Vha9jv9UjxVzYcbAWM//+A4BapYfgjD2z4wCrlhZRq1t5Lc9tVbrwJj659843RNwlCIIgvBy7D44x6k/IvZImcVezRkXpjusgv2y+IdMejGdiVAolfQebF8WueHcqcMlHpI64yvBIxhjSiDtmhjP2WzROxQFwyxJx16A/Qb87JvdWC+ZricloisYhjXhZ2dD7Mzt6UiHXb3/9NlKGYmEFQRAE+3n4421yPQ/XLj4kAgfIWnD+DwCtPhVQZS0Wd5lw7vLUGB5obbMUEeeuq8x5kYyhBUYyHncGGHn0/NumAREAON6n+/XVQgqR8OITV87j5BkbFNnMa3Xmru1Tcde9L99AJCZBc4Lwsoi4SxBeA370bz8l1/nlLJIZvRvkZq0Ppc6KJBwUNEa0XIbOYIKpRx2yCmX7GjJLmn8nr8IILHYjHEXYkqgL4WLwIirtLCPkLN56eK9BG7Ub8QzCmiNhLwqPZCxnk4haUET120N06/Tn9rKRjF9ElUUyrt9ZQt6SSUZBEATBfvjUfSqfRPwlo76+CO4CnF/KIGTB9zKPd0+mooglzMY5qHPj3e0RdxXC4gB8VVFK4dGA7pHz7rqxmM1nNbqWtVgKiZAdB/88RiUaDqFg8H14SnWvSc5mXNdBeVXf2YwKFI6fVcm9r/3mu9qeLwiCIFw/eA1RWs9rf40Wi2TMFJJW1BLArHOXLeKuceCjz9xaTTh3jZhrVwiO1BNXmFHgYY9FMmYXHMm4zSIZy5EEshb9TQWBmhF3bZbt6KVOxx7qhy1y71UiGV+GKksVeefrEskoCK+CHd1VQRDmyk/+iIq71m4vaX+NRoVumLJLaYQNuVBxeEMmnoggodn6+SJUx3Rd5bS5wo47dxUt2uwKr840CLA9Yrn27sbC16GUwl6TruNGwh4h0QkTd62XzE/aA8DJNnXtisbCKJb1rK22zyMZ72p5riAIgvB68OBHz8h1WWNjpl5lAqE1Ow4368wB2YYhkZ4/xTigk8glQ6IST03ggbq5FcQB+MpSnY7Q5pGMBuoI4Hmcyk796kQyrhRSxkRwZ+GRjOXVLMIam9uN4xbGQ/qe/+pvvqPt+YIgCML1on7UQv2Iihh0Of+epd2kQ5K2RDJOPR899r2Zy9sh7moy1y7XAfKJxfcEhmiR63IkDteCPZVwMZ4Muzhrs+DARWaBkYxKKWyzWPfbCXtqCABoVPuYsmSNjbIdn1nVvQbUWedk18Hymr6fnzfx0DqhPRlJFRGEV0PEXYJwzanuN3DE4700RzICQKNGN0wlSyIZATsbMkop1FkBZXbanoq7pCFztXky6sJTND4ot8Ai6pRqb4TBxCP3biTsaNT2e2P02jRGZb1oRxF19IR9Zm/m4biXP9TwvWDGuevdb0rxJAiCILwcSik8+OE2uaerMaOUQpOJu4oaDxAvg53x7rS+iYZdZGJm3MS4a5cDICu1xJWFRzJGkUTCyRtZy1F7Nk7ltkXirtoJraFXCuY/G5RSqGyzGJWNvNbXOHpKIxk331jByo2S1tcQBEEQrg8PfrRNriOxCDJF/d+ZbebcldU0JHlZWn169ggHyOTMO30CQGNKa4pcPIqQhvPHV4U7d0kk49Xm0ZCKOdPO6kLTRFrDCdojKqi0Jdb9lOP9FrkupONIJ+yooY9ZL3lpJYtwRN+gSO2QugyHwi7uffmGtucLwuuAHbY6giDMjU9/QKfro/HIXOISO01WDFgyHQMAjS4Td5XMi7uGgTczbW8i0/6UCcu1z0tD5krzSb9FrtPOMsLO4v++nlZpcygXjiFnyd/WyT5dWywSQjFrfnJuMprO5M6vbr1a43ww6uP//v/+v5J7/6vf+1+jVxnBn9LPnXd/VZy7BEEQhJejdthCg01Y6hJ39TojTMZUEG6DuMvzg5kYFRtqiZlIxlTcmGMQF3flwlGEZNL+yvJowOJR3Q1jf1szcSrRBLIROxym+70xBj3aNFotmG8id+t9DHu0ifyq4q4X1RLJ+PNG/OETGskorl2CIAjC53FeJKPuvYUKFNpNKu6ypTfRYrVEOhtDKGyH50aDDZ6biGQEzhF3Rc2fzwoX47xIxtyiIxkbtIZIhSJYitj1N3XEIhltce1SSuHkGR0UuUgk4+fVE9U9Onh+54NNxC1IWRKEq4SIuwThmnOfibvKm0XtBZTvBeh3aTGQs2Q6JlBqRtyVt6Ah05rSA9eQ4yAdNzNtDwBTRQvgTMjcWoTL0fOn2GVFVNG9ufB1KKXwtEYbwHdTOSuiSgDg+IAWUeuljBWW38dPa8T62HUdrL5iQ8b3Pfz4F39O7v3dv/mf4nibNmLufmkTOUuiKAVBEAT7ecim7qNxfVP3DebaFU9FkciYn9hudIcgZqiOHbVEjcW7m4pkBGbFXeIAfHWpT8doeLROzbvrRtailMKzGm3M2BTJWGORjLFICPmUeeHZCYtkTKSir+wO8qJaAgB6rQG6LObma//BuxdYqSAIgvC6cJ64Sze97gi+F5B7uSU7zrv4oIgtkYyAHeKuQHkYg+75lsW568piOpIRAHbYXvVmImtNPwJ4PtjG00Q2y3YknbSrPYwHdIBl5QLirs+rJ6p7tF55/1v3Xvn5gvC6Y4dEXBCEufHpXzwl1+UN/Zn2nfZw5l56DvbKF6HdH8MPaDydDQ0ZLu7KJqLGhCWB8uGBricTFnHXVeX+oI2zf/Euwsg6i2/K1PsjdEZTcu9eMr/wdZyH7wWoHtODg42SHRMyR2wSfmUjr836mNsqf/jrb2l5riAIgvB6cJ+Ju0rrBW2HpI0KiwhftUMQzuPds7m41kiCizLj3GVQ3DWCiLuuC48GdDAjgjiSTtHIWur9EXpjWkvYFMnIa4mVQsqKz6wai3hZ0eyOwiMZs8UU7n1pS9vzBUEQhOvFqD/Gzv0jck+X8+9ZuGtXLBlF3ALRNTDr3JUt2CvuMpEqMgIdvnUAlMIi7rqqPBy2yPWiIxlHUw/HHfp5cDthTw0BAMcsTSQeCaNsQZoIAJxs095BKhNDOqvv/TgZTdGs0P/974m4SxBeGRF3CcI1pnHSwTGb3Fza1H8422EFVCqXsKLpAQB1tplLpqKIGXTIOoWLu/IGM7WnGMzcE+euq4lSaiaSMedsIOQs3qjzCYtkzIajKFtiq1097iLwP5PAOQDWLXCw8qY+TrbpZ/b6DT2HXoPuaGbK/ssi7hIEQRBegQcz4q68tmdz5y4bIhkBoMZqiULZ/ADLyPfQ9anopZyyyLnLktg84dV5NGSR6u66McESd+3KhqMoWeLioJRCjYm7bIhkVIFC/aBF7i2t6XUB4OKur/zGO3BDcrQsCIIgnM/jn+0h8D/z8XFcB4UV/fv8dqNPrm1x7VJKzTh3ZS1x7hoHHvqspjAh7hqySMZCOIaIK3uLq0jHm2B3zN6LC45k3Gn2yNB72HGwGbNjoPuU43MiGW0YEgFwTiSjvoE+AKgdNHD2FxSJhvHGV25oe74gvC7It6QgXGPu/4C6dkViYeTmkN/cabFIv5L5pscpfNo+Xzbv2gUALTYZkzeYKz1R9GcUc1zEXDvEecKrUZmOUGdRKqYiGbm4625S79T4ZeCRjEu5JGIR80nVJ9t1eujlAKtbesRd1V1anKULSdyVKXtBEAThJek0+th7cEzu6XIEnk59tFk9YYu4i9cSBQtqCe7a5ToO8gYaMcDzPR8Xd+XFuetK0vImqPIa1d0wtBrgWZ2Kp24n7XDzA4B+b4LhgDZDVwvmz0DatR68iUfulVf0ibsmoylqB01y72u/+Y625wuCIAjXj8c/3SXX+aXMXAbCmzUmKJlD/+MiDCceJp5P7uUsce7irl2uA+QSi68pJoru+cqWiPmFV+fjPt0nuogg6yy2nthmNcRmPIOwRWLB8WiK6glboyWfV+PhBI0j2jNZ2chrfQ2eKvLGV28iGhOTCUF4Vez5VBMEQTuf/uAZuS6tF+C4+g9EOy0WV2KBA84pMw0ZCyIZAaDFBDgmiqdTuHOXRDJeXXgRFUESKae88HXUerORjHdT+YWv4zyUUjg5oMKzDUuKKB7JWF7NanMarDBx14e/9qZM2QuCIAgvDY96D4VD2qbum7Uemd50XAf5FfPfzeOph+5wQu4VLBhi4eKuYiqG0BxqvJfBwwgBqJhEYhmvJjySMYwY0gbqCABoDydo9Gm9fMeiSEbu2hWPhpE1JLA8S22f1oKpTAyJlL7348lODSr47MM6Eg3jg++8oe35giAIwvXj8Ud75Lq4ltf+GkqpGRfggmbnyovSZvuZUNhFMm3HXrnOaop8wkxN4YH+jCRN5GriqQAfDxrkXt65AddZnIGA5wfYbdLPgtuJ/MJe/2U43G2Ts4+Q62CtZP7sAwAqO/T3Fwq5WFrV91mqlMLxM+oC/OF339T2fEF4nZCuniBcY+4zcZeu6XoOj2XMWtD0AAA/CGasj21oyARKoT2ljaKcwVjGiWLiLimiriTTIMD9AZ2uKLo3jUy4Pz4nknHZkkjGbnuEQY++/zYsKKICP8DxUzq9sn5DX4xu9ZA2ez78KxLJKAiCILw8n3z/Cbkuree1iYR5Mya3lEYobN5Flg+JuK6DrAWT9lXWiCmnTUYyUpeEkONILXFFmY1kXDPmlMUn7hNuGKsx83X8KVUm7lrJp6xwFeORjGWNzRgAOHpCmzHvfesu4inzojZBEATBTpRSePwRde4qrua1v063PYI3pe5YBc3fgRel3ad9iUwubsWeAQBqzLmrZOg73QNdR9I1n6wgvDqPhx0MA/o+LLp3F7qG/VYf3plBBAfA7YQdnwWnHOzQ8/nNchYRS4avT7bpYPjSWhahsL61tWtdDHtUzCkuwIJwMez41BAEQTudRh/7j07IvaVNfUKBU6YTD8M+FUpkynY4dzV7IwRKkXt5C5y7ut4EAdi6DMYyTlksY1YaMleSh8M2Jiog94rurYWv47xIxnspeyIZuWtXMhZB3mBT9JTqXnMmRkWnuCs4c9DlOA4+/DWZjBEEQRBenl/8ORV3LW3p+45q8kn7VTsceviQSK6YhGvIIessTdaIKafM7WP4kEg+FLVmzye8PM3pGMfcvcFgJOOjCh1YuZXMwrXk70oFCpVDKu6yIZLR9wJU9+i0vc5IRhUoHG/TQZSv/oY0YwRBEIQXUztsoV2j+/x5RK83qkwUno4hYcE5HzDr3JXJ2bEuAGhM6d6vZKim8BT9GSVDIu66inzUo8KglLOEuLNYYRWPdV+LpZGwqM81Hk1nhkRuLttx9qEChcoO/R2ubOa1vsbM82+UsH53WetrCMLrgoi7BOGa8uCH1LUrFAkhv6x/Q8UjGR3HQTpvXkAFzE7bp7MxRKLmXQBaU1q0xMIu4gbdCSY8ltGiTa/w8vycRTJmnBVEncW/F0+6Q/TGNJLxjdR8XAMvwvE+bRZtlDJWNCGPHtNJ+EI5rTVG5Sx3PtiwKj5XEARBsJvGcRsHzLFl+UZJy7OVUmjwpo8lk/YtLu6ywLULADqePQ7APuieLx4yX2sJr86nzP03jBgyzpKRtTT6I9TYe++eJfHuANCsDzAZs4EMC1yAa/tNeBPqlrCyoa9Z1DjpYMpqvK/8xtvani8IgiBcP7hrVzQeQSqn/5xydlDEjloCAFqWiruUUrNR74YipsW56+pTmQxxzMSCRWexrl2BUthuUOHU7YQdwqlTzotkXC+bryMAoHnSwWRI9/qrG3mtr3GyQwdFvvIbb1vRkxGEq4iIuwThmvLJXzwl16U1fdEpZ+HirnQhodWu8zJwcVehbH6iFgBabNo+l4gZ3chMeSxj2FyDSLgYtekIR6woL7m3jayFu3blwzGUInYcXkwnPuoVeuizYUERpQKFo6dVcm/jpn6nxVM+/HWJZBQEQRBeno///DG5jsTCKGiaMB0OJhizQ0RbnLtmJu3z5vczI9/DmMVdZA2KuzxQoVncFXHXVUMphU/7LXKv4G7CcczU9A9OqNAsGQpjM25+v37K8QFdXy4VQ9rge/CUY1ZLFJfSiGtcV2WXNmO23lpFed2eAR5BEATBPh5/tEeuC6u5uZx/84j3whzcwS7KebGMNtD1J5iy9AcTzl1KBfBZPSHOXVePj/rUkSmMBLLO+kLXcNwZYOTROvlO0p7PAgA42L46kYyZXAKpjN7PhDZzWfzab76r9fmC8DphxyeHIAjauf8D6txVnkMkIwB0mkwYZJEbTL3DYkIsiGQEgJZHG0V5g4fBSilx7roGcNeuMOLIOmsLX4ftkYyVow7OJrW6jmNFjEr9qIXxgDa212/Or1nylb8iU/aCIAjCy/Pxn1Fx19JWCY6meMIGE11HYmGk8uYdspRSaA/onj1rQTOmy1y7HADpmLm9u6+Yc5cj4q6rxuFkiLbPBJbulpG1BErh4UmL3HsrVbQmkhEATs5xATaNUgrHT6n4am1Lby3BIx+lnhAEQRC+iCdM3FWcwwCHN/XRbtFzbVucu0YTD+MpG8qwYFgEAOoTKjqLhV2koosXVXkYz9wT566rxdD38IC5ABfd2wsfFOGRjKVIAtmwGTe68xiPpqie2BnJCAAnz2gtsao5kpGTSMfw9q/cmutrCMJ1RsRdgnAN6XeG2Pn0iNxb2piPUKDDCqhsybxQAgCmfjAzbV+wRNzVZLGMuaTJKJUJFOikTlbEXVcKTwUz0/ZF96aRafuj9gCDCY0psSuSkQrPVgopRAxGop5y9JhO2mcLSaSz82lspwtJ3Plgcy7PFgRBEK4fSin8/M8ekXu6IhkBoF6hB5zFtflM9L8q/dEUnk/3yDY4d7WZuCsViyCkSWh3EfikfcyVI6arBq8jYkgj6ZjZv+81ehiyJujb6fm52b4qo8EUrQZ1S7bBBbhd7WHYo2cMusVdnRr9rP7Sd9/U+nxBEATheuFNfTz9eJ/cK67mtb9Os94nMWeO4yC/bIe4i7t2ua6DZNoOsUmdReiVknEjNRiPZHQgTsBXjU8GLfhn3oQOHBScOwtdg1JqRtxlm2vXeZGMNtQRADDqj9Fi5zIrcxZ3fem7byJsQFAqCNcFOXkThGvIgx9tQ52xp3FD7tziTXgsoy3OXY3O8Ox+CY4D5Ip2iLvaU+7cZa6w465dDoCU2B9fKR4NOhgzK+2ie8vIWrhrVykSRzFqvhEKPC/0TliMig1FlFIKh0zctX5jfg21D3/tzblE9AqCIAjXk4PHlZmDPp3irgaz5rclRoU3YyKREOIJ8wMQHeYAnI2bXRN37opJM+ZK4algdtI+dMOYwPIBc+1ajiatqSWA2UjGSNjFcs78cNvRE1pLpDIxZObogBiNR/DmV27O7fmCIAjC1Wfn/hGmYzr8OY/eRJNFMmbLaYQjduxHW2zoPJ2LwzU4lHGWGXGXgUhGAPAUrbkSbtgqx1bh81FK4ecskjHrbCLiLPbvqd4fozumdemdhB3nCqecF8kYtuR8nkcyhiMhlJfn2zORSEZBuBx2fHoIgqAVHslYXMshNAd3mvFoivGQbpxsce6qd5mjWD6BcNj8R9408NFjsRcmYxmniv6c0qGIFFFXjJ+xSMa0s4yYs3iRZaAUntZmIxltoVUfYDyiB0s2xKi0q10Mu/QwY+Pm/BwKPvwrb83t2YIgCML1g0cyJjJxpPN6BiZ8L0CrTveiJUvEXbwZk8mbmWbndKbUKStrsI4AAB8i7rrKPB32zhkSuWFkLaOph202cf+ORa5dwKy4a72YsaJJe14k4zw/r97+lVuIxGQgTBAEQXgxj36yQ67ThSRic9i38kGR4podrl0AZhJFbIh4P6U+oeKuYsrM4DmPZUzKwPmVYnvcm4l3L7p3F76Op3Xaj8iGoihF5jfo8KpctUjG5fXcXAfDHdfBh78u/QlBuAzmlQ6CIGjn0U93yXV5Yz6Hop0mbca4IQepOU6IvgoNJpbIWxLJyKNUALNNmYlizmsSyXilOJkMcThhTVH3tpG1nBejcs+iSMajPdqMySajyCbN26GfN2mfLczn88pxHHz4axKhIgiCILw850Uy6hINNOs94jYMB8iv2tGQ4c2YjCXNmA6rJYw7dzFxl8SoXC14JGPaKSPqmKmbH1U6CM5GlcCxalAk8ANUD2lTxgYX4EF3hDZrbOuOZOS8/+035vp8QRAE4erz8MdU3FVam893U6NGnbvmlVxyEbgTsA0R7wAwCXy0mBtwyZi4i/6Mkq6Iu64SH/Wo41McOSShz+X7ZeEDIreTOSsGs0453G1ZG8kY+AEquw1yb3XOkYxvfuUmskU7DEIE4aoi35aCcM0IggA7nx6Se8U5FTZtJu7KFNNwXTs0o80uFS3lLYlk5A2ZZDSMiEEL1inozyktEzJXih+zIiqMOLLOupG1nBejko+YF0+dcrjbItebZTuax0dP6HTM+o3ipQvQkBvGm7feQ689+KUrmAMXdz7YRNaS6FxBEATBfrypj0+//5Tc0xnJWGdxj7lyGpGoHXvRFmvGZC1pxrRnYhnNOnd5itY24tx1dRj6Hp6NmNuFIdcuYLaWuJ3MIW5RbVqr9OB51OVs3QIXYO7aFYmGUFq5XJ1zWksAgO/7aBy14ZyZDX7/2/cu9XxBEATh+sMHz4tree2vMeiPMRrQQYOCJYMigL3DIrXJ8KzOBK4DlJJ2xDKKuOvq0PLG2BlTcWXRvbtwUVVnNEF9QN9rdxL5ha7hizjYbpFrmyIZ64cteBM6rL+6kb/0cz+rJxTqR20EfvDLeuKrv/HOpZ8vCK878m0pCNeM6l4Twx7d0OSW5lPYcHFXtmyHaMAPArTZpi5bsMNRrDPlDRmz0/a8iEpZdIAufD49f4qHA+pGVXbvwnUWXxwMLY9R6bZH6Lbp3/qNZfMHPv32EB02Zbh24/LTjMlECv/5P/jf43/8b76HtvvZ7+XD74prlyAIgvDyPP35HoasKbG8pU/c1aiww2BLIhmVUrPNGAvciQOl0GODIhnD4q5Z5y47DqmFL+b+oI2zUiUHLvLuhpG11Hsj1Hp0r/5Oxp5aAgCO92ncSymbQMICMerxU+oCvLpZuHRU5GktAQDbH+/jR/+/j3/5n6XzSdx8Z+1SzxcEQRCuN42TDmoHTXKvtJ7X/jrNKq0lIrEw0nNywn9VxlMfw4lH7tki7qqwBIhiMm5MaCKxjFeXn/ep25OLCPLO4gdFnrF+RMINYzVmjyvUeOShZnUkIzUOyJdSiCcvf8ZwWk+0qh384X/zZ+Q/+8pvvn3p5wvC646cvAnCNWP7kwNyHU1EkEjPxz2HxzJmy3ZsnNr9Mc4mvABAzhZxl2UNmVnnLollvCr8tNdgDZmQsUjGx5X2TIzKGxbFqHDXrkQ0jHLW/IEPj2SMxcMoLelxABgNxjMRLR98RyJUBEEQhJfn5997TK6z5TTimiI7lFIzzl3FOTR9LsJgPIXnU4eerAXNmJ43QcDuZRPm9u5KKQSgTStx7ro6fMKGRPLuOkKOmb8n7tqVCkWwGTfvinWWkwP689qwwLVrOvZQ3aPNcx2DImep7NGGz3vfumuNW7sgCIJgJ49+QiMZw9HwXFzkG1UeyZi1JoqNRzI6DpDOmq8nAKAy6ZPrpbS5dfFYxpQ4d10JpkGAX7B494JzC66z+N/f0zodwLiVyMG15HMAAI7326RPGXIdrFsSyQgAJ9vUBVh3JOMRG0RZ3ixi896K1tcQhNcRqcgF4Zqx/ekRuc4vzaewUYFCp0mFQTlNooTL0uwyS990FJGoHY2GLhN3mXbumopz15VkEvj4WY9OyBTdGwg7ZmIQH5zQZsedVA4xi/6WuLhra06fi68KF3etbhXgXHLS/pTqLm3ExFNR3PuyuagdQRAE4erx8Z9RcZfOSMZ+d4TJmAqDbHHuajHXrnDERTxpfgCCD4lEQi7iYXM1DnftAoCYY0fNJXw+jekYJxNayxcMRTL6gcLDCq0l3koXrGrK9Doj9Dr0c2HTgqZMZacOdWbCxnEdrKzr+xxVSqHCaor3vyWRjIIgCMLn85CJu4prubmcwc2Ku+yoJYDZSMZ0Nn5pZ01dVNgecDljbiBe+hJXk/vDFsaKRvkV3TsLX8dg4uG4Q/+e7yTt+RwAgMNdOoixUcogYkkkY789RLdBzTu0i7ueVMj1V3/zHSt6MoJw1bHjU0QQBG1sf3JIrvNzih7rdUfw2UR7zpJYxmaPic4sce0CbHTuokVU2jXfuBK+mE8GLYwVff+VXTOuTLVzYlTetiiSsd8do1WnhcoNC+yPx8MJ6octcm/9hr6f2wlrxLzz9TsIR6ThKgiCILwco/4Yj35KGzMrN8ranl9nkYyxZBRJS6bZ+aR9Jpew4gCS1xHZeNTounxMZu7FxbnrSvAJm7QPI4ass2xkLbuNHkZT2hyyKd4dAE4OqCNAPBpG0WAj9JSjp3TSfmk1i4jGqMhOvYfxgL7PP/i2OAELgiAIn8+Tj/bIdWktr/01VKDQalAHqsLqfHogF6E9YBHvFrgAA8A08NH26NpMOncFMxHvUkvYjq8C/KBLh5XTzgpizuIHH3gkY9hxrXL/nU58VA7pGreW7PmcOn5Ga4lYPIyCxv5uvz1AkxkCfOU3JJJREHQg4i5BuGZsf0pjGecl7uKRjLFkFDENecw6aDKhiS3iLqXUOU0Zc2IqX3kzRVRaJmSsRymFnzDXrqyziriBIgqYjVFJWxajcrBDJ2RikRBW8uYjZI+f1oCztsxhF8uaHEvOm7KXSEZBEAThVfj0B8/ge58JyR3XQXlDX9zXTCTjnCb6LwKftM/m7WjG8EaMyUhGAPAVrSNcOAhb8jsUXkygFD4ZtMi9grsFxzFzPHj/mO7VV2Mp5CN2vOdOOdqfjWQ0/XkV+AFOWENGeyQjqyeWNgtY1jiMIgiCIFw/vKmPpx/vk3vF1bz21+l2hqRWAYDCij2iiU7fTnFXY8riIgEUEmZSIABAnT0YBaxybhXO55NBC12f1oFl500ja5mNZMwibKimOY/jgzaCMy67ruNgs2zP59QJGxRZ2chrrXH2Hx6T63QhiXe/eVfb8wXhdcaeTzpBEC5Nq9ZFizVK8nOKSmwzcVfWEtcupdSsuKuYNLQayjDw4DG3JZPOXTzXHhD746vA41EXLSYSNOXa5QcKj2ZiVIpWFeMHOy1yfWMpZ4UVOo9kXFnPIRTWsy3rNfsYsnhaEXcJgiAIr8L9Hzwj18XVPMIaHWFadTppb0skIwB0mVNN2hJHsYFPYyzTMbPirgDUbSniOMYFL8IX82TYRY/9LRUNRTJ2hhPsNKiLn00OwAAwGk5RPaZnLBsWRDKebNcxZdG2a1vzFXe9/6178h4XBEEQPpe9h8cz30/ziEts1mgtkUjHrBk6B4DOgMcymhNQnaXOxF3ZRBRhoxFxVNzlQPYZNnOea1cSJaQMOACPph4OWvRz4G4yv/B1fB6HrCexWkwhakmqxnTioXZAh2x01xJ7D47I9Td/+wNJFREETUgXXxCuETySMRQOIT0nh5o2y2O2JZJxOPYwZrEOtjh3daa0UeQ6QCpm7mN4qmh8ZdRxERX7Y6tRSuH7HVpExZFD2lkysp7dRncmRsWmhsx5kYw3V8w3j72pj+oudV9b0zgFv/vkAJ/0vvfL61gyguyKHZ+DgiAIwtXgwY+2yfXSpr6DviAIZlyA88vmxRKndId0z57K2NEoGgd0zxULm92380l7EX1cDT5iDsBJp4Ckmzeyll8c0YZC1HHxRsrMWl7EwXaT9B3DIRcbJfOfV/v36SR8aTmDZEpP43g0HuL/9d//P7D9i32ov3QbeDP1dXzwazIsIgiCIHw+j3+6S65T+SRiCf17aT4okrOolvCDAL0RGxaxxrmL9gKKSbOis5l6wtA6hJfjPNeuZfddI3Xgs3qX/PWEHQc34/a4YnlTHycHdCD+xrL5nsQp1d0GAv+zn6DjOFhe17e+6kkNf/7svyf3/ulv/F1tzxeE1x0RdwnCNYKLu3JLGThzcqix1bmr2aNFSjjiIpm2oyHDIxnTsYhRh6Mpc+4S1y77eTLqosqmrJZDbxlrpn163CLXa7EU8hE7ptEAeyMZq7sNGnXlAKubeW3PP9mtYG/8yWc3xsBkMnnxf0EQBEEQzjAZT/HkZ3vkXkljJGO3NSTxBIA9DZmpH2AwZrHlGTv2NmPmthQ3LO7iiC28/dSnY+yOaTN0yTUTjTH1g5lIxrfTReuGjfa36Rq3lrKGHS6A6djDEYtR2bpT0vd8b4I//cH/l9x7I/U1vP+te9peQxAEQbiePP6I1hDFObh2AbPiLpsiGXvDCRQtdZCxxAmYxzKWDIu7uHOXK/Iua7HJtQsAntaps+6NeBYRi+qIk8MOfCKeArZsimR8Rh16y6sZRDQ6te8/PKS9CQA331vV9nxBeN2R8zdBuEY8Y5n2+eX5bBimEw+DHrUXtkXc1WCRjNl8wpop8o7HfmZzmFx6FTzm3JUOmY12ET6f81y7Ysgg72waWU9nNMGu5TEqB6wZc2PZzkjG0koWsbie918QBKgdtLQ8SxAEQXg9efqzfXhnnTkdoLSmT9zVYg7AiUwcUU3fg5elyyJUACBlSTOGO3dFbXPukmaM9fyUuXaFEUXe3TCylseVNsZnhh0A4INs2chaXkS/O0ajSpvHty1wAT56UkXgnx0UcbBxS5+46zxuvL2GTMH8kIwgCIJgN48/os5dxdW89tdQgUKrQb+fbXIBbvdpPRFLhBGJ2iE6qXPnrpTZOmfWCdjQQoQvxCbXrrHnY79FexK2RzKu5FOIaxRPXQalFI6f0UGRNY1O7QBw+LQyc881PCAjCNcJeTcJwjXi2S8OyHVhTuKuTosWAo7jIFO046Cv2aXirlzRnigy7tyVjZsVd4lz19Xi6aiLCpuwWgm9bUy8eP+oRa5ti1HpdUZoNehn1U0L7I+DIMAxm7Rfv6GvgGoet+FPvS/+h4IgCILwAu7/8Bm5zpUziGiMEueT9jY1YzpM3JVIRREO23FsMmLirnjE9LqYJYE0Y6xmHPj4pN8i90ruLbjO4puNSil8fMiGMBIZ5CN2CClP4a5dsUgIa0Xzn1f7D07I9cpGTtugyIt45xt35vp8QRAE4erT7wxx+JQOMxbX9J/DddtD4oYPAHmLnLt4PWGLa9fI9zBgTsCmYxnFuetqYJtr13aji7NG4C4c3EqYP/M/xfcDHFscydiqdDEe0D7l6pa+3kS/PUCn1v3ifygIwoUxfRooCIImeq0Bqvv08HFehU2bTduni0mELGl6NJlzV66QNLSSWbi4K2PYoWCqmLjLFXGXrSil8O9nXLvSyDtbRtbjBwqfshiVt9JFq+yPD9iEjC2RjI3DNiYjOum0prGAquzWv/gfCYIgCMLn8OBH2+S6rDGSEcDMpH1uyQ4HYADosEPOdNZ0w+MzuHNXzHgsozRjrhKf9luYKtoILYfMCHaOO0PU+7QW/SBjl2sXAOw/o05nNrgAT8ceqnt0XVt39P7sxsPpzL13vyniLkEQBOHz4bHubshBbg4xZE02KJJIxxBLmh2gPstsPWGHuItHMrqOg5zhVBFx7roa2OTaBQBPmXDoRiJjVbR75agLb0rrrhtL9ghQ+dB5OhvX+jl18Pjki/+RIAiXwg41hiAIl4a7drkhF9nifBol7SYVd+UsiWT0/GAmSiVXsMi5a8piGY07d0ks41Xh6ah3jmvXO8aKqO16F8MpbTC+l5lvFMircrBDxWc3LWjGALORjLlCEqmMvgLqZEfEXYIgCMLFCfxgVty1rk/cpZSaGRSZV5T8RbB10t5XATwmzDEt7pqNZRRsRSmFn/bo3jjnrCHqmBmE+sUhFSdlw1HcTNjzOQAAneYQnRatv2yIZDx+VoM6Y1Xguo7WSXsAqB00Zu7deX9T62sIgiAI14/HH1FxV34pO5dhcO4CnLPIBRiYrSfSOTuGRXgkYyEZhWtQTaWUAh8WkZh3+7DNtWvi+dhrskjGRN7IWl7EIetJLOeSSMTs6bud8EhGzbXEwSMRdwnCvBFxlyBcE559TMVduaXM3HKM201aRGUtEXe1+iMeDoJs3p6GTI9NOGRtc+6SWEYree7aRXPKo0gj75g7YP/kiBYpa7EUSlF7hJTdzghtCyMZlVI4YtMxaxojGacTD43jlrbnCYIgCK8few+PMezRhkRJo3NXvzuGxwTiuWU7agngnGaMJc5dI9+fuWda3MWRVoy97I37aHj0b3spdNfIWvrjKZ7WOuTe+5mysaGVF7G3TQVOyVgYyxa4APNBkeX1HCIRvZ8Ftb1ZcZfOaF5BEAThevKEibsKq/m5vA4XdxUsimQEgHbfzmER7txVTNqxrrNIs9o+bHPt2mn24Kszgw4AbiXNn/mfEgQKR3v2RjIOe2O0KtT5bHUzr+35g+4IjaOWtucJgnA+8n0pCNeE7U8PyfW8JuCDIJgpomwRd7VZIyqViSGs+aDzogx8b0Z4ZjqW0YOIu64Cj4fdc1y73objmPkKbw3GOGjRzwDbXLt2HlH3qngkjOWC+WZMt9HHoE1FZ+s3itqeX9mtk0l+QRAEQXhVuGtXKpdAIq3v4J/XEdFEBPGUHQIqpdQ54i47mh48khF4HjltEu7cJTkq9vKTHhXrxJBB2lkyspZPjpo4u10NOw7eSevbD+tAKYWDZ3SY5dZK3rgAzff8mUl7nbUE8Px/e/Wg+cX/UBAEQRDOoJTC4492yb3imn5BgwrUTMR73iLnrtHEw8Sj+/Z0zo56gjt3FZNma7CZWgLi3GUbvgrwFxa5dgGYGRLZjGcQd+3paVWPu5hO6GfADYucyk+2aS0RiYRQWtH3GXookYyCsBBE3CUI14QdLu6aU45zqzFA4NPNd3HVDvV5e0AFMLa4dgHPxV1ncR2z0/aBChCArilhUTa58JxAKfwZc+2KIY2Cs2VoRcAvmGtX3A3hbjJvZjHnEAQKu0+puOv2as6o1fgpR09oAZVIRZEr6ovDOX5W/eJ/JAiCIAifw/0fPiPXZY2uXQDObcaYFkycMpp4mHo0+tAW565xQPftkZBrwd6G1oRyuGQnbW+CJ0M6nb0UumPkfecHCp8yl9k3U0XELRsyatYG6Pcm5N6tlbyZxZyhstOAf/YzytHrAgwA3WYfo97oi/+hIAiCIJyhdtBEh+3zi3Nw7uq2h/S7EEDeIucu7trlug5Sqaih1XyGUgqNCXPuMj5gc464y3R5IxA+GbRmkmhMunZN/QC7PJIxqXcvfFkOd1rkupRNIBU3/xlwyjFLFFnZyMN19VXyB4+OtT1LEIQXI+dvgnANGA0mOGITnPOaWmkw2850IYlowo7M6BnbY0smYwBgyDbCiUjYaCPLx2TmXsKiKQfhOfcH7ZkIldXQe8Zcu6Z+gAcnLXLvnXQJYY1FwGU5OWhjPKQN0HvrdrgB8BiVta2Cts8BpZSIuwRBEIRLoZTC/R9uk3uldc3iLubclVuyZ9K+M6D7Y9d1kLSgGQMAI+bcZUMkI2/HSC/GTn7apa5dLsIoujeMrOVZrYPBhO7TP8iWjazl89h/Rn9mmUQUxYz5swVeS5SXM4hpdgOv7NS++B8JgiAIAuMxi2SMJiJI5RLaX6fJaolEOoZY0o79OgC0mEA6nYvDcc3vkvv+FGNF6wkbnbtcqSis4XzXrrJR167dZg/eGQtgB8DthB2mE8BzZ8GjvRa5d2PJnvX5no/qLq1zVrfy2p4/6o9REwdgQVgI9nRjBUG4MPsPj6HOZE3DAbKleYm7qDp+HhbLF8VmcRd37kpEzQqpPIxn7sXFucsqfBXgz5lrVxw55JwNQysCnlTbmLAJOdsiGbdZJGM5m0BeY5zURRn2xmidUOtonTEq7WoXo/7s+1oQBEEQXpbKXgNN9l2l07lLKYW2xTEqPJIxlY1Z0YwBZmMZbRB3QdGGjMSo2Mck8PFxnx6wl9xbCDlmhrM+PqTNhPVYCuWo/sbvZVCBwv4O/ZndXjUfyRgEAY6e0gab7khGADjZqX/xPxIEQRAExkwk45y+O2cGRSyqJQCgycRduYId+5zGlK4rEnKRiZke1j/PuUvqCVuwzbULAJ7W6VnFRiyNhEUOwPVKD+MR7QHaFMlY22/NuACvbOS1PV8iGQVhcYi4SxCuAdsskjFTSCEcmc+Bf71KnbuK63aIu3w/QG9Ip+2tFndFzG48fUV/VjHHhmgX4Swf91vosCJqLfSesSJKKYWPD2mj40Yig1zEtI33Z4wGU5wctMk9W1y7jlkzJhIJobyq7xDqSFy7BEEQhEvyi3//hFzHklGkCyltzx8NpjOHnTY1ZLi4K5O1p5YYs1oiHjF/lDMzbS+lhHX8ot/CWNHBjKXQHSNrqfWGOO4Myb0PsktG1vJ5VE+6My7ANkQy1g9amLLPz/WbeuucwA9Q3W988T8UBEEQBMaTn++T6+LqfPoFXNxVsCiSEQBafSqiyubtqCe4uKuQjBkXUikEM/fMVzgCAHgqwF+wgfPnrl3m9u5TP8BOw+5IxoPdFrkupOPIGnbIOwt3AS4t6XUB3pdIRkFYGPJ9KQjXgJ1Pj8h1fmk+hc2gP8awT0VBtjh3dYaTmXmPtEXiLh7LmIyanbb3WCxjXCIZrWIaBPh+h1kfOyVknFVDKwIq3RFqbALt/YxdMSo7T+rERCIccnFrxY7PKF5ArWzqzbQ/flb54n8kCIIgCJ/Dp3/xlFwvbRa1Hvq3mGtXOBqaS1zLReGxjOmsPQexNsYy8ml70XbZha8UftSlLkxZZxUxJ21kPR+ziI5UKILbSTv26WfZfUx/ZsVMHLmU+c+Cw0d0r58vpZBM611X7aAJf+p/8T8UBEEQhDMopbD/kDq25OfgVqOUQqc1IPdsinhXSp0j7rKj1ul6tM7JJ8xHWZ7n+jvr5SWY4KNeA72ADhUsu+8YFQQ+rrYx9T8TBDqAVbWEUgqHOy1yzybXriAIcPSE1hOrm3ltzx/2RqjuyZCIICwKEXcJwjVghzl3zauw4ZGMkVgYmaK+af7L0GFxZIlkBJE5uZddBNtiGX0Wy5gI2fOzEoAf9WrosyJqzTXn2gUAnxzRDXo6FMHNhD1FilIKO6wZc3M5h4gFzc/p2EN1jza01m/omy4aDyZoHLW/+B8KgiAIwufw+Kc0TqW8qdcVptNkzZhy2vjE+Fm6QxbLmDEv6DhlytyXIiE5yhE+n0/PcQFeDt0zspbR1MOjKt2rvpcpIWTR+x8AxqMpDlhT5rYFrl2BH+DgIW3GzCOS8UCm7QVBEIQL0K710GfunNmSfjH5aDjFdEJFyJmSHX0JABhOPEw9umfPWOLc1fPZEIvxSEbAOac17SuRd5lmHPj4YZcOKKecJaScZUMres6nJy1yfTORRSpk/u/4lEa1j9GQ1l43l+0Rn9UPWhgP6Po2bpW0PX//Ia0j4hY5lgnCdUROBAXhihP4AXYfMOeuOanC6xUWybiWs6Yh02aTMTZFMgLAMLArltFjsYwJ17wARnhO15viB90auZd2lpF2zVkfj6YeHldprv17mbJVUZ71kx76XdqUvbduhz1zZacOFXx2QOG4jtZM+5Md+vcS1WipLAiCILwedJt9HO8wxxrNcSptJu7Kls04CJ2HUmom4j1tkbjLC2ijKGyFuMuefaBACZTC91k9kXSKSBuKUvn0uAX/zF7YhYN30/qaCbrYeVxHcHadroM7a+bricpuA5MRbcZs3dH781NK4fCxOAELgiAIr87+Y+raFQqHkMzqd6zqtqmALBR2kbQoRr3NBs9DYRfJlHmHLADoMcF/2vDQOXC+uCsQcZdxftyrYaSoiHLF/cBoD7DeH+GkS9//76bsShPhAyK5VAy5lD2fT3xQJFdMIq3x83Of9ae//Ffe0vZsQRBmMf8tLgjCpTjeqWPMVOG58pycu6qz4i5baA9oAWWbuGswE8to2rmLxzKKuMsWvtc5gceK2fXQlwyt5jkPTtqzDZmM/mnxy7DNXLuyyRiWcklDq6HwSMal1SwiGj8Djlgk47vfuIvt+7SICok7nyAIgvA5PPnZHrl2Q672moI7d81jov+iDCce2esAdjl3ecy5K6wx2lkX0oqxh/uDNtosfmc19LaRpkygFH5xSB1s76XySIXtGkZQSmH7IRXE3VzOIW5B83P/AW2aF5fSSGX0nnfUD1sY/fJMxUEqlMfqzTLCf+mGLrWEIAiC8CIOWdRXppiay56j26LijvScXuei8MHzdDZmzfr6rC+RssC567xBEV8qCqP0fQ8/7tH9cNbZQNIx2wPgrl3JUNi6NJGj3Ra5Z5NrlwrUTCSjTteuXmuAxjF1af7m73wJb/1IehOCMC/Mn1IIgnApeCRjPBVDPKW/EeF5Plp12pAprtuzSeHTMfaJu7hzl9nNzKxzl3wd2MDxZIBPB3QzXHJvI+GYe6+pcxoyd1M5JC2yPp5MPBzusKbResGKQ5TAD3D8jArPdEYyBkGAk21aeH/7t7+Gf/5/+8+0vYYgCIJw/Xn8ERV3FVaycDW6QwV+gG6bNjyyS/aIu7hrl+s6iCft2etwcZcNsYwzuyzpxVhBoBS+36GDBUknj6yzYmQ9O/UuemPaUPwga9ekPQBUDjvo9+jnwJsb5odZvKk/MyiydUf/z+/wjOtK1I3j73z9f4P/8//nn2p/HUEQBOH6cXCOuGsecBfgeb3ORbG1N+ErNSPuSkfN1zmO48CBC4XP6hxx7jLLD7qVmYHzZfc9Q6t5jhcEeFihvZJ3UiWr0kTajSEGfVpH3FiyR3xWO2jORDJu3tJX5+w/pK5d6UIS3/7tr+HP/8afa3sNQRAo5k8EBUG4FNtM3JVbmo9rV6vWhzq7uXOeN31sIFAKHYudu3ylMA6ona1p5y4P9OclsYzmUUrhj1s0n9xFGCvuu4ZW9Jz9Zh+dES1Q3s/Y1ZDZf9qE75+JPXSAO6t5cws6Q+2gBW9CxZ1rW/oKqMZRG9Mxfb5YHwuCIAivyuOPdsl1UfP3aLc9pLUE7HLu6jJxVypjz6Q9AExnnLtsWJsNaxA4DwcdNGdcu94x9vf884MGuV6OJrEas6sZCwBPH9BhiUI6boUL8PHTKvzpmbMEB9jQ2IwBntehB49pHfqN335f62sIgiAI15d9FuubLc5nj99uUHFXzqKId8DeVBGeJgIAqZgdQ94OqyfEucscbW+Cn/fp4HTeuYW4Y7b/97TWxdijfbV3UnbFux8y1650Iop82o73PwAcPjovklFfdO7efSru+tXf+dIv3X8FQZgPIu4ShCsOd+7Kz0kVXmeRjLlyBmELIgqA55P2PEbFlgIKAIbnFFGJiMQyCpSHww6OJtRifMV9BxHH7N/yx4e0IVOMxLFmUUNGKYXtR7QZs1XOImGFxfhsJGOhnEIiFdX2/JMd+r/9xttrKK3ltT1fEARBuP4opfDkZ/vkXnFVr2tou0n3OIlMHBFLmgoA0B1wcZe+72odeAETd1ng3MWRVox5lFL498y1K+HkkHVWjayn0R/hsE0bsTa6dg37ExwfUEeANzeKVgg8eSTj8loO8YTez6dWpYNBhzorfuO3RNwlCIIgvBznxTLqRimFTotFvFsm7upY6tzV82mdE3IcxMN29AEc1p4W5y5z/PtOBcGZis6Bi2XDA+cA8OkJFZxtxNLIRfSnFl2Gw70Wub6xlLWijgCeRzIePqb1oc5Ixnati069R+59+298qO35giCcj30ngoIgvBI7n1JldH5Ozl2NCv2StjmSMRoLI5awQ9gBAEMWyegAiBuPZWTOXSF7mmuvI54K8O/a9OA+ihTK7l1DK3pOZzjBToO+99/PlK0pUACg1RjONIzfsCBCBXh++HT8lBZQOl27gFlx14fffVPr8wVBEITrz/FOHT3WLCloFgp3mnY3Y7pDujdOZew6MJ517rLgKEdyGa3j0bCDhkf/lk26dn3Mot0TbhhvpPJG1vJ57Dypkz/fcMjFbQtcgCfDKU62abz7PCIZDx7TOnTlRgk33l7T/jqCIAjC9aPXHqDFBsIzc3Dn7XfH8D26H85ZFPE+mfoYMtd+a8RdHh06T8XC1pzrcnGXL+IuI9SmI9wftsi9onMXUcesi21rOJ4ZFHkvbdegSK8zQrdFhyS2rIpkbGHMBtl0RjLuPaC96eJqDm/9yi1tzxcE4XwsOBEUBOGitKrdmQIqt6x/86CUQr1CX6e4Zo+4q9WnG6hs3o7i6ZQBE3clouaLKI85d0kso1l+1K2jyxze1kMfwHXM/l64a1fUcfFWumBoNefDXbtS8QjW5mQB/6q0q10Mu7TBtnZD389vMpqgeUJdBj74zhvani8IgiC8HvBIxlgyimRG73663eIxKva4gALPnYDPkkrbJe7yuLgrZENDhq5BWjFmOc+1K+7kkHPMiHTGno+HJy1y791MCSHHrmNIpRR2HlEB1e2VPCIWOFocPq5AnXEod10H6xpric9eh4q7vv5b7xs/rxAEQRCuBty1y3EdpOcQa9xmgyLRRASxpD1Ou+0B7U04DpDO2tGf6LPz5nTUnoF43p4OpKIwwp916F7QRRhL7tuGVvMZnx63yHXcDeFO0p6eJDAbyRiPhq2Idj/l8BH93eYK+iIZlVLYZ+Kub/31L8G1YRBNEK458i4ThCvMLsszDkVCcymg+t0RJmMqULJJ3MWduzLWibtoEZUw7NqlVIAAdE0Sy2iOjjfBX3RpIybtLCHrrBta0XOmfoD7rCHzTqaEqEV/K97Ux/4zKkC7t1awphnBbY9TmRiyeX2Z9pUd6jIQiYVlOkYQBEF4ZR5/tEeui6t57d+lnQZz7prDRP9l6HJxl2XOXTyWMWLBgakduy3hlMfDLmpT7tr1trF98f3jFrzgbLQL8H5GXwSILqpHXQz69P3/xoYdwyx794/J9dpWAZGoXsftTr2HbqNP7n3ztyWSURAEQXg5Dpi4K51Pwp1DfHibfVflymlrzv6A2d5EKhuD69qxPh7LmIrZI+4S5y7zHI4HeDaipg5l902EHbP1sB8o3K+0yL23UkXrBkUOd+nQ9VbZ8kjG23ojGfttmqby7b/xZW3PFwThxUgOlyBcYQ5Z3Fe2lIYzh8KhziIZY8kokpZMnwBAd8DEXRatDQAmbNI+ZngKOEAwcy9i2cb4deJP2yfwWPG6HvqS8ULgUaWNCbM8fz9jl/Xx3rMGvOlna3QA3F23J5Lx4AGdjlm7UdT6e+URKu984w6isQj6/T7+4A/+gPxn//gf/2OkUna5pAiCIAh28IQ5d+ke4piMPQxZFIBNsYwTz8d46pN7tom7ZmIZ59A0uyzSijHH+a5dGeQNDYsopfAL5gB8J5lHOmyPw8Yp3AW4kI6jmNE3jHFRBt0R6gctcm9zAZGMxZUsVu4W8F/9V/8VuS+1hCAIgnAeXNyVnZOTvu0R7zOD55ZEMgJAjzt3xexpCbvi3GUUpRS+16HDBCFEUXLMp0JsN7oYsRrdtkjG4WCCZo0KT7fmkKp0UeYdychdwZY2C7j93gYASG9CEOaMPd/kgiC8Mkfb9AA3U5jPlyOPZCyt54wLT87SH9EiJZm269CYT9qbbsY458zZS+lkhp1RD4+GHXKv5N5GwsmbWdBfopTCxwe0IXMzkUU+Yk+jUymFpw9oM2ajnEEqbscEWutkdnpl85a+6Rjf83H8jH4HfP0/fA8AMBwO8S/+xb8g/9k/+Af/QAooQRAEYYbJeIrtT6kbcHE1r/U1OiyS0XEdpAv2RBXwSEbAwnqCDQKErXACkFhGW3gw6KA6pXFAq6451669Zg8dVqN/KWtXMwYAxiMPh3t02v7euh0uwAcPabMkEglhdSOv/3Ue0Ybe13/rfYzHY6klBEEQhJfi4DEVd2Xm5M7LYxlF3PXy9D26J0tZFMsozl1m2Rn3cDih760l9x2EHPN/I58cN8n1WiyFQsSe9xUAHLE6IhJysTqn/uxFmGckIzA7JHI22l16E4IwX+wb9xQE4aU5ekaFDek5bR4aTNxVsCiS0fcDDCc0MjKZtkeAAgAen7S3IEZlFimeFo2vAvxxi0WrIopV9z1DK/qMo/YADeaI94Flrl2Nah+dJhVPvbVpT9TL/gPaKEllYiiU9X1Gn+zU4Z2ZYHIcB7/yH5r/2xEEQRCuFjufHMJnE7GFFb17/TaLZMwUU3OJa7koPJIxkYwgZNH6lFIz9UTEovX9EmnGGMFXAb7XpgfrcSeDvLtpaEXAx4e0GVOKxLEWs+8gf+9pHepMdKTrOri9akck4/59+jtdv1VEKKz3fd9rDdCu0rOeb0gkoyAIgvAKcOeuTFH/97039dHv0jPK3JJl4i6eKmKRuIvHMqYtimXk7elA6omF8dy1iw0TIImic8fQij6jM5pgv0UdsWxz7QKAo90Wud4oZxCypO93biSjxqHzbrOPTp2mPX1d+hKCsDDs+KQRBOFCHG0zcVde/wT8ZOyh06ICitJaXvvrXJT+eDpzL5mybdKeO3eZngQ+x7lLaqeF86NuHQ2PFthrofeMZ9oDwMcsRiUXjuFGImNoNefz7AFzLkxEsTYn+/dXRQUKBw/pAdfm7bLeSEY2Zf/W124hX7brdyQIgiDYz5Of7ZPrTDGNiOaojladHsza1ozhzl22RTJy1y7AjmER0xWN8Jyf91pos7idtdB7xtyn2sMJdhv0oP+DrN59sA6UUth+VCf3bi7nEIuEDK3oM3rNWdHV1m39Da1DNm2fLabw9q/c1v46giAIwvVk1B+juk8F3fOIZeQuwHDmIyK7KJ4fzNQTmZz5iGfguViqb3EsI08X8WX4fGE8GLZRY86/y+67cB3ze+FPT1rkOuaEcDeRN7KWFzEZe6ge0/36jSV7DDHqh7ORjBs6IxlZHZErp/HmV25qe74gCJ+P+RNBQRAuxGQ8Rf2wRe7NI5axWaMHs27IQW7ZHgEBL54i0RAiUfOb0LPY5tx13rG6lE6LpeWN8e87VJyUcPIoOuYP03ujKZ7VaHFiW0NmPJriYKdF7r2xUbRmjbWDFkbMkn3rtr7pmMAPcPSUisdkyl4QBEG4CE9/QcVdxTk49LYaXNxlTy0BzDp32SfuCmbumY55f47EMppmFPj4sw7dEyadInLOmqEVAZ+yCJWo4+LNlB1uWGdpVPvotmlD6966Hes8ZBFXsXgES6tZ7a+z94C6SH/tr71rlauiIAiCYDfctWteoivu2p8pJBEK23P232WuXQCQydpRTwwDb2aPLrGMgqcC/Blz7Yohi7xjXpzjBcFMJOObqaLxfhrnaK9NzBJc18H6nGJpLwKPeM8VklpFp/sP6dD5r/wHUkcIwiKRd5sgXFFOdutQbMM7D+euOotkzC9ntccBXIbeiOXGp+1y7QJmp+0jFjp3CYtDKYU/bB7NTCNthr5qhTjpk6MmWVnYcfF2Wt9khw52HtcRsAiVu2t2NGMA4IBFMmYLSWQL+j6fq/sNTMc0jlbEXYIgCMJF2L1Pv7PyS3oFBIEfzLgA5y0aFAGA/oiKu5KW1RP+OeKukGt+zyjNGPN8v13FKKCxqusGXbv8QOHBcYvceztdRMS1pwF7CnftyiSiWMnb4QJy9IQOAa3dKMDR/J7vNnpoVTrk3q/+zpe0voYgCIJwvTl6RhNFUtn5iK56XSrGTs9huP0y8EGReDKCsAVOoAAwZftEAIhZ1NdxHeoiNj2n7hH087NeA13m6Lbivm9FX+JRpY3RlP7dvpfWNzCti92ntJZYL6YRsUR0GvgBDh5R8a3OSMZ2rTtTR3zjdz7Q9nxBEL4Ye77JBUF4JY5ZARVPxRCO6rfVbVSpc9c8pvkvQ3/ImzF2TMacxQvscu46DyWz9gvj/rCN3TF1sCi795B0zIuTzpuOeTtdQMyihoxSCs8e0s+/W8s5xOfw+XcRAj/AAZu21+naBcxGMt790pZVcbmCIAjC1cD3fByyiftcWe+0aac1hAroPtM2564+GxaxLeL9PNGUDeIuF3R/eJ7DmDA/mtMxftKjTYWcs46Mu2RoRcB2vYshb8Zk9McJXpbpxMfBDq157q0XrGhoDbsjNI9ps2Tjpv5Bm9371LUrV07jvW/d1f46giAIwvXlaJuKkecVlTjoUmeslCWRh6fY7ALMxVIOANeC/c4pIdCz3Mk5YjRBL6PAx1906Xs3iTIyBp1/T1FK4aPDBrm3GUujFLXrPT/oT1A7pj3TO6vm+zqnVHcbmAzpGcemxt7E7qeH5LqwksX737qn7fmCIHwxdnRCDdBqtfDjH/8Yx8fH6PV6WF5exubmJr761a/CtVB4IQgcPh0zj0hGFahZcde6XeKuHpu0T1jWjAHsi2U8D5F2LYZR4OFPWlSYE0ECq+67hlZEeVrtzEzHvG9ZQ+bksINBj77v39y0x1msstvAdERdtXQWUCpQM414ce0SBEEQLsLxdg3TCf3Oypb1Cq94JGMyl0AkZs8xhFLKenHXeaKpkAVNGe7cNRv6IsyTP22d4OxfhgMXG2Gze8JPjqhgai2WQjEaN7SaF7O/3YTvffbTcxzgjiUuwNy1KxIJaY9kVEph7z5tynzrr39oVcSVIAiCYD9Hz+h31jwSRQCg36POXUnbxV0WDZ7P9CRCrhVi9lNc0IhIce6aPz/sVjFW9Ox/NfQlK/4u9lt9NFnM6YfZZUOreTF7T6kALRJ2san5HOUy7LNIxkI5hXRWT02mAjUj7vrO735FIhkFYcHYc6q6ILa3t/H7v//7+KM/+iNMp9OZ/3x5eRl/+2//bfzDf/gPEY3adagrCGfh0zFpjZFfp7RbA3hM6GGdc9cViGXkhUnYcCyjDZv115V/1z7BkE0hbYS+jJATecF/Y7H8nE3HbMTtm4559oAKWwvpOMrZ+RwgXQSeaV8op5HK6Gtq1Q6bGA/owZGIuwRBEISLsPuQCs7jqRhiCb176XZjQK5zS3qdwS7LxPPh+XSvbtuwCHfuch3Hiv08d+7ylYJSyoq1XXd2Rj08GXXJvSX3HmKOufdXezjBQYuKOd/L2BehAgA7j2g9sVHKIhmzox47fEzPeVa3CtqbJc3jNvptGpf7a3/zK1pfQxAEQbj+8MHzecUl9q+Yc1c6Y08tMTtwbtc+3WXt6XEg4q550vEm+Clz/s06m0g6dgxN/4z1JfLhGG7G9Q45XBal1Iy46+ZyDiFLxE2+5+OI1RNbt/UN7lf26hj16Wfyr//eV7U9XxCEl8OOT5wF8d/+t/8tfu/3fg//w//wP5wr7AKASqWCP/iDP8Df+Tt/BwcHBwteoSC8PEfbrIDK6y+gGhV6YJzMJRBP2TN9AgC9mVhGewqoU66Ec5cM2s+d/XEfH/db5F7WWUfOXTezIMZJZ4hql07Dfcky165Bb4zj/Ta59+ZmyZomou/5M9P2W3fmG8l44+01rN606/ckCIIgXA32HtDvlKzmSEZg1rkrb3kkI2C/uMuGSEYAcJ1Zlx9f3LvmTqAU/pg5AYcRw2roLUMres59Fu0ec0O4m8ybWczn0G4M0KxT0ekbG3a4do2HE9QO6M9xfS6RjHTafvVWGXc+2NT+OoIgCML1RSk105uYR6rIdOJhMqZOw7aJu3rMacimWEYvoHtz23oSfNh5oiSWcZ78eadC6jUHDlZcOwaGm4Mxdps0QejDzLI1Z/6ntBtDdNu0f2JTJOPxs9qMWceGzkjGT2gdcevddWy9uart+YIgvByvjXPXn/7pn+K/+C/+C/j+Zx9st27dwje/+U3k83ns7u7ij/7ojzAaPf9g/sUvfoF/9I/+Ef71v/7XSKftmi4WBOB5jMpZ5jEdU6+wSEbLXLt8P8CQRclYKe5iUychKwopB2fDGJU0YuaKrwL8YfOI3HMRxkboQ0MrmuVjNh2TDkVwK2nXe/4Zm7KPhFzcXrFnjSfbdXgTVkDd0hjJqBQOH1NnsG/8lh1FuCAIgnD12GPOXTnNUQJKqXOcu+wWd8WTEbiWiKdO8RWvJexYH49lBJ4L0cJ2LO/a8vN+E/UpbSKuhd416gTsBwr3j1vk3lupgnUNRADYfkzdCpKxMNaLdnwuHT+tnS3REQq5WNnQW+sEQYB99tn/nd/9snWNM0EQBMFumpXujKv8PHoT3LULABIa3fEvSxAo9McsVcQmcdc5sYw2EWKxjONAxF3zojIZ4v6wRe4VnbtGnX/P8rNDukePuSG8lbLDUewsu8y1KxWPYHlOkbQXYf8+7RssrWaRSOrpl04nHg5YX+K7f0tcuwTBBK+FuKtareKf/tN/+kthl+M4+Gf/7J/h7/29vwf3zGFTo9HAP/kn/wR/8Rd/AQB4+PAh/sv/8r/E7//+7xtZtyC8iEF3iHaNCq/mEcvYqFLnrtK6PSIKADPFEwAkLXMWA2YLqYjhWEaAS7sg0q4588NuHQ2PHkisuu8i6tix+R9MPDypdsi99zNluBYd8vt+gJ1HtNC7s5ZHJDzrGmGKgwe0wClrLKCA5xEqwx79O/rG74i4SxAEQbgYu/fnK+7qd8czU6O5ZTsOj0/pjZgLsGWuXQDgKT5xb8f+jMcyAs/Xal81dn0YBT7+rF0h9xJODiX3lpkF/SXb9S6G7L3+nmUOwADge8FMjMrdtYI1gk4eybiymUdYc61T2a3PNOO/I5GMgiAIwity9Ix+Z4XCISTS+neBfXYGlsjEEArbI1DqjSYzaRg2ibumvCdhyZ7nFBfcuUtiGefF9zq09ncRxpL7jqHVUAYTDw9OaFLH++kyIpYNigSBwv4zWkvcWc1bMyQxGU1xwgxBNu/oq8kOH53A9z6r+dyQi2//7pe1PV8QhJfHrk/HOfFf/9f/Nbrdz0Qq//gf/2P8/b//94mwCwCKxSL+1b/6V7h79+4v7/13/91/h/v37y9srYLwMhxtU4EDHCCd0ysSGQ0mM9Mxtjl38UjGSDSESNQeoccpsw0ZGz567dh0vg40p2N8v0MPPRJOHmX3nqEVzfLpcRPBmb/TEBy8m9EbJ3hZDndbGI+oU9+bG/as0Zt4OH7GCiiNrl0AcPCIisfW7yxh896K1tcQBEEQXg+GvTEq+/RgUre4q80iGaOJiHUR7wPm3GWjuCtgTQ7XsaGWAJxzxF3cZUzQy/c7VQyZo8FG6EvGGwqfHtEowbVYCsWoPa4apxzutjBlLrt31+1wBJhOPFR36TnP+g39a9v7lLpJ3/3SJtZu2SfEEwRBEOyGi7vSheRc9iP9Lo0/S2Yti2Q8pzcRjdnjp3HVnLsm4tw1F3ZGXeyOaW2+5L6NsGNHbf7zowb8M30JFw4+SC8ZXNH5VI46M72JO2v2RDIePqog8M/8HF0HGxoj3nc+PSDXH373TeQ1nyEJgvBy2PVtPgfq9Tr+zb/5N7+8vnHjBv7hP/yHL/z3sVgM//yf//NfXiul8C//5b+c6xoF4VU5ZgVUKpuEq3lzXq9SZ7BwNIRsya5Jex6jYmMkI3BeIWWfsEqcu+aDUgp/2DoiefYAsBn6qvEmzCmBUvjkkDZk3kgXkAjZcxgBAM8eUOHUSj6FfNqeptHx0xp877P3uuMAG7f0FVBKKRw8plNW3/jt9635OxIEQRCuFvuP6HeK4zjIFPVGqbTOiWS07XuLO3clLBR32evcNVt/8rUK+mhMx/hJlwkynXVkXLONj85wgv0WbRa9Z9mQyCnbLOJ9tZhGJmHHe/7kWZ00YxzHwepmXutreFMfB0/osMh3fldcuwRBEIRX54i5w2TmEMkIzMYypnJ2ibu6TNxlk2sXcE5PwoqB88/gzl1jGRTRTqAU/qcO3f+FkUDJsWPofOL5+PiQ1jhvpgpIhc1Fzr+IvSd0naVsAtmkPe/5PebMvrpV0CY2HXSGqO7R//3f/T2JZBQEU9j1bT4H/vAP/xCTyWebrP/4P/6PEYl8/hfDt771Ldy+ffuX13/yJ3+C4XA4tzUKwqtyvEMnOucRydhkkYyF1RwcSxoJp1yFGBUA8AJamIQsKKQc5twVSCNmLtwftLHHJmPK7j0kHXumOp7VuuhP6NTJB5bFqLSbA9QrVHD65qYdU/an8AJqaS2HWFxfIdo86aDfpnuRr/+WRDIKgiAIF2P3If3eSheSCGmO/+LOXbkluwZFgHOGRSysJ7gbVsiSmsxxXHA3YF9qirmglMIfNY8QnBkYceBgI2x+L/jpMR0Sibkh3E3mzSzmc+h1Rqid0HrijXV7arKjxzRuc2ktq9354+jJCfwz8ZmO6+Bbf/1Dra8hCIIgvB4cPeXOXfMSd1HnLuvFXZYNnk8DLu6yo444JeTMOncpqSe08lG/jtqUvo9W3PfgOnYMdX960sLEp3+nX8nal1IxGXs43G2Re3dW80bWch6Dzgj1gxa5t6UxknH3/iG5Tmbi+Npvvqvt+YIgvBrmFQZz5t/+239Lrn/nd37npf57Z//daDTC9773Pa3rEoTL0G3SRkliDu41nRYVERRW7LPYnEypVW88YZ+iXyk149pkQyEVBp0q6PiTF/xL4aKMAg9/0qaN0wgSWHXfM7Si8/nZARWLrkSTWI7pF4xehqf36URgPBrG1lLW0GpmGfbGOGGi263beh0Ldj6h1sfLm0Xcfm/j3H/rOA5KpRL5P9ucUgRBEASz7D2ge5RsSf9e/zznLtu4Ck7AXDBli7gLmHXvmsq0/Vx4NOxiZyZK5Q3EHLOCST9QuH/cIvfeShWsc4UAgJ3HdK8ei4SsqSd8z8fJNl2fzgiVU3bv00jG9791D/lzPpellhAEQRC+CO7clc7P5xxx0KPOXUnbxF2DK+bcZVksI3fuCiBOwDrpehP8eYcOEMSQRd65aWhFFD9Q+Ij1JW4ncihG7EnqOGX/WRNBcCby0HFw2yJx1z4734lEQljdyGt5tlIKu59Scdev/s+/hOjnDLVLPSEI88UOee4c+eEPf/jL/79cLmNra+ul/ntf+Qq1Jv/BD36Av/bX/prWtQnCRekx95bP+yK9KFzclbEskhF4btt6lkhUr9uADoJzAg9dCxoyMSeDifqs4daYirhLN/9Tu4JhQP9GN0JfRsiSyRgAqHSHOOnQ9/qHWbsy7ScTD3vPmD3zRtEKB7xT9j49ItmmobCLjVv6xF2+F2CPNWO++x+9ONqzVCrh0aNH2l5fEARBuH7sMeeuXFnvXn88mmLEmh35ZbvEXb4fYMTcS22MZbTVuQsAHIQAfLbfFecu/UyDAH/S4gMjcayG3ja0os/YqXcxZANX71oYyRgECrssRuX2at6aeqK624THfo5rN/S6io0GY5ywRvx3/9b5USpSSwiCIAifhzf1UWHxXLrj3QFABWpG3GWbc1dvyNZnubgrYsne55QQZntaE+Ujcv09SeaOUgp/3D6aGb5ZD33FGpHNo2p7Jk3kK9llQ6v5fHaesKHupSxiEXt6PPsPaPTmxq0SQmE976PmSQdd5sr+ojriFKknBGG+XOtvyUqlgm73s2i5d95556X/u+++Sy0Fnzx5om1dgnBZeDRXNKZX3OVN/ZniaR5F2mXhzl02irvOa3CELNhAxxzaXKsye17hchyOB/h5n0aUZJ015Nx1Qys6n58f0MOYVCiCO6m8mcW8gN3HDfjeZ4Wo4wBvrNsTyaiUwu4nVHi1eauEcETf59HxdhXTMXUW+fW/9TVtzxcEQRBeL5RSM7GMul21WuzwLxR25zbRf1H67LsVsDSWEdy5y55jHO7cxRtIwuX5fqeKrk//VjdCX7JiYOQTFsm4FkuhFLWr6QoAlcMORkP6M7xnUT1xyCIZSysZxBN6P4v2HxyTmKNYIoKv/4d2OUoLgiAIV4PqfgMBi1FL5/X3DYbDCXHKAewSdymlZmMZLRd3hUPmexJnOU/cNQ6kntDBk1EXT0ddcq/g3EbKsWOoWymFnzLXrrVYCmsx+wwm2o0BWnXqSn7Ponj3dq2HTo3Gz2/d0Tdws/vpbJrIW1+7pe35giC8OvacCs6Bp0+fkuv19ZdvqpfLZUQin20u+LMEwST9Nt1MRDQ7d3WZeAwOkCna1YwBznPuMn/AzQnOEXe5Foi7kg7dgB5NBpJprwlfKfyPTWpV6yKEjdCXzSzoBfTHUzyptsm9DzJlK8SHpyil8PRBldy7sZRDcg5uhReledRBr0k/k2++obdQ3n9AxWNvf/02lrfsaUgJgiAIV4thbzzz3ZUp6j1E7TRnXYAdixynAGA4plPC4Yhr5bAI62nBpp9iyKF7Mi5CEi5HfTrCD7ss9shZQt49P5p7kXSGE+w3qYjTRtcuYDaSsZRNoJC2I+7F9/wZcdf6jXlEMtL69Ff+2nuIp+xqQAuCIAhXg8On9JwulojOJVWk36WD56FICNGEPeeBw4kHn4vPLBN3cdcm26KzHcf9Syfgz5go/wX/WnhZxoGPP27RvV8IMay6Hxha0Sw7jR6aA/oe/2p2xdBqPh9eSyRjEaxqPj+5DPv36eBeIhlFeVVP/LwKFPbZYOB3f+/FaSKCICwGu77NNXNyQq0IV1Ze/svBcRzy7/mzBMEkPSbu0l1A8UjGVC6BUNi+RgcXd0UtbMac69xlQWMr6dCD92Hgo+1LNKMOftKro+7R4mTVfRdRxy6B5C8Om6RZGHIcvGdZQ6Zy2Jk5zHlr06417nxCi+VUJo6Sxtgpb+rhiB2cfftvfFnb8wVBEITXj2alM3MvmdErdOiyeiJbss8FeDyl4q5YzL5BEQAIs4NTj6u9DBJ3cuT6ZCJuwLpQSuF/bB6BtuQcbIY/tOIw/ZMj6toVc0O4m8ybWcznMB5OcbTXIvfurdkzaX/8tAZvQs81NjXGuwNAt9lH85gO9fzaF0SpCIIgCMKLON5hwvPCfM47+126r0xl41bsgU7pMdcu13WQSNojPgPsjnc/hbt3DXzvBf9SeFm+1zlBP6A/xzX3Q4QcO1yqlVL48T79HClG4rgZ1yNI0ok39WciGe+u5a0wbwCe/yz3H1Dx1dadkrbPyup+A+MB/az7zu9+WcuzBUG4ONda3NXv0ynCVOrVDpTP/nvP8zCZiPBBsIOZWEbdzl0tPslvXzMGACZTlhtvo7gL54m7zH/0RpFEGHSa6HA8fMG/Fl6WjjfBn3fo5HUcOZTde4ZWdD6eH8zEqLyVKiIesqupyV278qkYli2KdPKmPg4eUvH3zXtLWg+bjp9W4Z8RsrohF9/87fe1PV8QBEF4/eDirkgson2Qo9O2v54YsYj3aNyufdApYYfWDr5FUSVJJ0+uTyZST+jik0EbB2P6Plpx30DCMd/08IMA909a5N7b6SIiFtS5nN1nDZydtwq5Dm6t5o2th7PHJu2X1rJIaI6H3fuUDqNkS2l88G276lNBEATh6lDZa5DreUWvD/u0F5fI2hPJCMyKu5KZqFXiMwBwuOevPTMivyQKWic22MD0/5+9/3qSJDvP+/EnM8u7rq723s70uJ3dmZ1ZM7N+F7tYeJAASdFAJCWFxNC9/gCFIninG4UiJF0o9PtGMCSREA1AEgBhCbfAmvGmp6e9N+W9ycr8XQx6p8/J6rEnu05Wv5+IDSBPV9U5012Vdd7zvu/zEI/HWqWA6wXuM6r0oE0ZatKKrGxki9jKsXHjmXC3dJ8fAFieS0LncpATEtm7J9bSKHGN8UPjncJef4VT/x051oe+MTmsPQniMCPfyYtASiX2C8LrfTxZVP7xfLEYQTQD0zSR54q73IK7zHnlLhk77U3TbGDLKF9xl6y2jIqiIMipd61Xi/s8mngUTNPEj9Ib0Lm/+aB2Fooi19ft3e2MJaH5bESujXkhV8HmKpt8nhoU13kigo3ZbUun/fCkuAAKAFY46eOTL00g0iGP9DNBEAThPNLbOebaHxJrH2KapkW5KyxhPMErd3kkVe7iLbN5+5dmwlu9x2sV6KY8xWdOpVTX8dM0uwf0IIBe7ViTVsQyH89ZYgnZFICBe/eipbtsp/1Idxs8kqiSV8s1bC2y6xOZjAHu/Q54S8YLX3hWSmV2giAIwhnwxV3BNnuKu4p5tmAhIJnlYY4r7goKjqlEoHLFXY3yFM3GyzUuUHHXk6ObBn6QXmPGVGjoV+Wy0bu0wqp2hTUPjgTlKZjaxTRNzE2zTfyDnRGE/XIooAHWRpFIewBtghrr6noda7NsU/vFL50R8toEQTwdcp5eCqJcZqVbPZ7Hu+nyj69UaGNBNJ9yoQqjzh6YC1fu4orHZOy0rxumJSARXeQmAl7+GABkUUAOKB3ImPcPejeouOupmCvnsFDOM2Md6jiCqlzBiWmauL7GHsQM+cKIecTaMT0tvGqX26ViTKIuewBYurXBXHf3tyEQFHeYU6vq2Fxgfw8vf/70Q59XKpXwF3/xF8zYH/zBH8Dvl6vLkSAIgmgOvHKXT+B3F3DPBq3GFT/LGE9UeOUuCWMJwKrcJZMtI6/cZcBEvFZBr4f2HE/DzzPbKBmcVZ/rWaiKHO/Rm+tsLDHgC6HdLVcsAQCpeBG5DHsuONEvjyXj2swWzD2fZ1VVMDAiNnZMbqQtyu+vfPnBlowUSxAEQRAP4sCKuwpccZfkyl1ByYrPAGsOQsYWDK8SYRTFkjXKwT4pv85uI62z78tu9RQ8ijyx+E6+hJU0K6LyXKTb0tAkA9vrOeSz7Pvx2JA8DS11vY61Gbb4bFhgo8jmwg5qlfsNcYqi4MIXnn2k51I8QRD2IsfJkE3wylu1Wu2xns/bMD5ucRhB2EE+Yy3AEVncpet1FDgpTxk77atcMgYA3G75uk/5AjRVgTSdEkGFPTiO1yqoGHV4Vfl+j7JTNer4cZot9HHBiz71ZJNWtD/r6SKSRfYzfloy1S5dN7A0y/vZt8MtUYd5IVNCfIW1thyZFPt73JjbZop5NbeG8595uCVjoVDAf/gP/4EZ+8pXvkIBFEEQBAHA/uKuLFdIoLlUBCLyFX5Uqk5V7pInLaMpbngRQgX3Gxy2qiUq7noK1itFXC+we8w2pR9tal+TVsSSKJSxmWU/46fCYtWmRLE0y6oChPwe9ETlOdtY5Trt+4ba4faIvQ8tc5aM/eNdGD818MDnUCxBEARB7IdhGA2Ku+z5fuCVu/xhueIJJyh38baMpoTKXT5YlbtM05Qmf+IUdmolfJJn975+xNChyGXFfXmVPe/3qy4cD8pTMLUXXrWrLehFb7s8scTWYgI6d6YxOC7ud7k8zea6jr8who6+6CM9l+IJgrAXuXyiBBMIsF0DvJLXw+CVuoJBeW7cxOGF77pUFAUugQeAfGcrAIQk2rTswlsyAnLaMtY5M3tNlee261faLUHeZrW0z6OJB/HL7DbydXYz3a89C02Rryj42hobREVdXoz4w01aTWNWF5IWxY+pQbkCvWVOtcvt0dA/LLbTfuUOO8fpi0cQitrTEUkQBEEcHvjiLtG2jLwlY6g9KOXhPK/c5fXJWdzlUuVV7gKAgBplrrconnhiDNPED1Ps/k+FhkHXw5VbD4pb62zhWUBzYSzQ1qTV7I9eq2N1kV3rZF+7NPeiYraExHqGGRuaEFskZ9QNrHIW7698WS5bHoIgCMJZpLay0Lk9tB3KXaZpolRgi6dkaxaxKnfJdwasKs6zZayZBvL1xxPpOOzopoHvp9aYLJQCBQPa81Lt+9KlCubi7FnE6XAX3BLly3bJZcvYWmPXemyoU6rf58ptdp/f2RsR5ihSLdewucAWt5ElI0HIg3x3TYHwxV3F4uNZjhUK9+UhXS6XRQmMIJoBr9zl9rqEbipyafb1A21+uCRUxOKLu1xuFaosfod7sCp3ybNGVdHgV1hbCrJmfHy2qiVcybNdayGlG1FlsEkr2p9MqYqlJGsdeToiV2BimqbFkrE/FkIkIM93sGmaWLnNJt4GxzqhucRtq6rlGraW2I6rlz//aNLHBEEQBPEgrMpdYhMlFot3CVWAAaBSc4pyF7u/qMtW3MXFE9vVx2uqI+7zUS6OnRr7++vVTsCjyFHcX6sbmNlmC5JOhDqktFFZW05Dr91XuVMAjPdJZMl4l02WuD0aegeiQufYXIyjWmaToxe/+JzQOQiCIIjDxdYye/6puTR4A+KLmsqlGgxuzyuTcpdeN1DiFHNkVO5SuaZuiQSAP8UFH1TOYCqpkzXjo2KaJn6UXrfEEJ3KMfgUuRoweNUut6LiGUkVgOen2dyEx6VhvDfanMU0oFquYWuRzRsMCbRkXJ/dglG/fw92uTW88N7D3UQIgjgYWrq4q6enh7ne3Nzc55FWTNPE1tbWvq9FEM2CV+4SackIAFmu0z4iaTKGL+4SbV8girrJK3fJdfAdVFg1pPUKddo/DnXTxPdT61xnjIpB7YxUBVO7XF9jD2E8ioqpkFi1qaclGS8gk2Tfh0clU+1KrKVRzLJB88gRsZaM63NbMPccZLk9Ljz/9gmhcxAEQRCHk/R2jrm2W7krHJMznuCVuzxe+RpaAMAlsS0jAPiVKHMdr5Whm3Kt0QlsV0v4IMMW/PiUNnSrE01akZW7WxnU6mzB1ImwXPv0XXiL976OEIKCz06ehnWuuKt/JAZVE3tEy1syTp0bRfeQXLEfQRAE4Sy2V9jv12Cb35bzzxJnyahqCnxBeZSxeNUuAAiEJSzu4pW7IFeTCHDPlcbLWTMmqLjrkblWSOJ2Mc2MeRFBl3qsOQvah2y5ipntNDP2TLgLXlW+nF6tWscyF0scGWiHS/Be/WlYv7vNFF+pqoKBEXH7/OVpNo547o1jCNmg0kgQxJMhz93IBsbHx5nr9fX1fR5pJR6Po1a73+E2NjYmbF0E8TRYlLsEH1A6JRlTrfHFXXImY/jiLpmUuwAgoLCbvo1qEaaEEs2ycqlBd32PegxeJdSkFe1PRa/jzlaaGTsR7oBHleuzw3fGBH1uDHTKZRu5zKl2haN+tAsuhF29wxakP/v6FAISdSkSBEEQzsQ0zQbKXWITEXyzSDgm5yEgr9zldYhyl26YUu3XA1xxlwEgXqWEzOOgmwa+k1wDXxI3rJ2BoshxbGeaJm5usI0iI/4Iwi55Eq275LNlJLZYteLJPnmKmorZMlKb7H14YERskVytUsPGPFtA9gpZqRAEQRBPyfYKuxeww5IRAIqcJaM/5JOqiTbHFXd5/S64BKr5i0LhlLtkiiH2wlszJmsUSzwK65UifprhLd1dGNJegqrIdd5/eTWOvWJ8mqLg2bDYRmlRLM0loOtsQ8vRAbkaWlam2bxB71C7MCXyUr6MHe5e/wqp/xKEVMi34xBIT08PwuH7CeHbt28/8nNv3brFXE9MyNMtSRxuClyyxOMVrdzFFo9JW9zFKXd5JC3uMriuddmVu6qmQd0xj0iqVsEHWbYQyYcIutSpJq3owUxvpi2d9s9E5AqiyqUa1pbSzNjUYIdURZF1vW7ptB+Z6BJ6yFQpVbG9zHYIvfy508JenyAIgji8FHNli02XyOKuakVHhXt9GeMJwzBR1dl9uscnZ3GXq0FxD2/93kw0xQ0v2MaGrRqpAT8Ov8xsI8ElsXrUKQRVeQqStnMlJArsGk9JaqPCq3Z53RoGu+RpFlmftVoydvdH9nn0k7F2dwvGnthPc2t46X2KJwiCIIinw1rc5bdlniK35/BH5Gp25JW7ZLRkBAA+DSGZu/un+BR2n0a2jA+nUK/hH5LLluaQAfUcfIrYfeXTkivXMM01nJ8KdSKgyaOqu4tpmpbG86GuCEJ+eRpaitkyEmtpZkykJePKHbZg0B/04sybx4W9PkEQT09LF3cBwPPPP//p/4/H41hZWXmk5126dIm5Pn/+vNB1EcSTkksVmGuPX9wmyDAMFHLs5jksrS0ju3V1ueUs7qpDbuUut+KHG2yX1Wwpu8+jiV0M08R3U2uWv++g9jxUSbrr91KrG7iywvqwjwXaEJGs035xJs5YEWqqgsn+9iauyMrqnS3oVba4dHBcbPfO6p0NppvO43PjLAVRBEEQhABSW9Z9ni8oLlnCqwArqoJg1J6kz9PAq3YBENbpKhrelhG4p94lEwGV3a9tVam461FZrRTwcY4tRvIrbejV5Nr73VxPMdcRlwfDfnkKpnYxDBPLc2zieaw3Ck2VJ0bjG0X6hmNQBa+Pt1I588YxhKJyqigSBEEQzuHAlLs4W0bZlOx55a6ghJaMAKByyl0yNYjshbdlTNYq0qqMyUDdNPAPyRUUDTam7VSm0KYONmlV+3OJV+2CgjORnuYt6AFsrWUt+dFjQ3I1tKzNbDHXbo+G3sGosNdfmWaLu1547xQ8EtnbEwRxCIq73nrrLeb6O9/5ziM973vf+96n/9/r9eLixYtC10UQT0o2yRZ3eQPiijPKpZplLCBZZ8wudYMr7pJQ+rgRcpV23SOispvpm4U0BVAP4eNcHJtc0qpTnZCqu34vN9aTKHFWpmci3U1aTWOMuoH5GbYzZrQnCq9brkTr4rU15rq7vw0BwXZWS7fYOZ5/+7hwyyyCIAjicJLeyTHXHp8bmsB9dJazkA+3B4QXLYigwu2LAHmLu3hbRgCoy1bcxVkzblXLjR9IMFSNOr6XYPd9ClSMaOekahgp13TM7bCFoSfDHVLZI+2ytZ61nGtM9ssTo5VyZSQ3MszY4KjY9RVzJauVClkyEgRBEALYOijlLq64yy9ZcZdVuUuu5tld+L2arOf9vC1jxaxbCpeI+/w0s4mNKht3B5Vu9KinmrSi/clXapjeYptEToQ6EZRQtQsAZm+xTRjtIR+6JWuQ4C0ZB0Y6oGliYsdsMo/0Nhv3XaQ4giCkQ57TIpt4++234Xbf/6L4q7/6K9Rq1gKWvXzwwQdYWFj49Pr1119HICDXDZw4vGSTeebaK1ASlD8EVVRF2qpsPqGhCtrAHEZiyhhzna3XsFQp7PNoYrtawgdZdqPvQQi9EgZQwD0L06srrBrAsD+MXp9cqnxrS2lUSmzgfmxILj/79HbWongyPiW20ygTz1nmeP23zwmdgyAIgji8pLiDOp9gCxFeuSskoSUjYC3ucrs1qJLZp+/SWLmLN+BoLgGFVe5K1MooG9YCOoLlh6kNZOpsDN6nnYBfbWvSihpzayOF+p5koAoFx0LyFEztZekuq1bcEfGjPSRPQniV77R3a+juE/v3XrnNdtsHwj6cefOY0DkIgiCIw0cpX0E2weYl7FLuKhXY4inZms+dq9zVpIU8BDcCUMC6spA1Y2NuFVK4VmCLLN0IYEh9UcrGC161S4WCs5I1nO+SSRaxs8k2wx0bkquhJZvIIxtn78NDAh1FeNWuaFcYJ1+aEPb6BEGIoeWrITo7O/H1r3/90+vl5WX8j//xP/Z9fKVSwX/6T//p02tFUfBnf/Zntq6RIB4Hq3KXuOChXGQDE1/QI9XmZS/1OpvQ0FxyrhOSBk178StR+MAeKF8vpPZ59OFGNw18N7lm8bMf1s5BU+RUe7i+lkRZZ5NrL0b7mrSa/ZmbZgvmuqNBxMJy2TgtcKpd/oAHvUNibSN51a72ngieuXBE6BwEQRDE4cXaKCI2EZHPsopN4ZicTVJ6nbd4l/doxKXwaRmgpstV3OVXolD2rNIAMFskq/cHcauQxu0iq+AUVDrQrcq176vVDVxbYxNIE8E2BCTsti8VqthcZX+nk33yWLybpomlG6xdYt9wu9BGNdM0sXSbjSde/Owz8Hjl+3sRBEEQzmJ7NWkZOyjlLpmKu0zTRL7MFZ8JbpgRhao4w5ZRURR4wdp9J2tU3MWzVS3hR2l2L6lAxbD2MlyKfO/BfKWG25tpZuxkqAMhl5xKd7O32dyEz+3CWE+0OYvZh9U7bKOIL+BBZ09kn0c/HqZpYoWzdn/588+SqAZBSMih+FT+u3/37xAM3u8Y/i//5b/gf/2v/wWD63ZNJpP41//6X2N2dvbTsc997nM4ceLEga2VIB4G3yFjp3KXT2DhmGh45S5R0qOHEUVR0KGy6l3zpSwKdZI/5vkgs40E1znUrU4hqMqlMLVLRa/j6hqr2jXqj6DbK1eiNblTQCrOyknLptpVq+hY5WSPR492C1X5MOoGlm+zQdSrXzlLQRRBEAQhjDynrOX1i034F3JscVdQMguDXeomexYg83etoijwqGwne0WXSxVLU1yIKL3M2DRXuETcJ1Wr4IcptitahQsjrnPSNVdNb6ZQltzefZfF2QT25ixdmorR3mjT1sOTWEsjn2JjntEjYn+Xqa0MclxD4GtffV7oHARBEMThZJuzZPSHvNBc2j6PfnJqVR01bu8hky1jsaLD4PISwbCcxSp8hCNrcRdgtWaM18iB8EvjAAEAAElEQVTmfS9ZvYpvJ5ZQ55QE+tXn4VfkaWbYy5XVBPOeU6HgTESsA4YoyqUaVhZYsYOpwZhUOUfTNC25iaGxDiiCchPJzQwKGfa8iCwZCUJO5JQZEUxPTw/+83/+z/izP/szGIYB0zTx53/+5/jf//t/46WXXkI0GsXS0hJ+/OMfo1y+v2mYnJzEf/yP/7GJKycIFtM0Gyh3CSzu4pS7vEE5AxMAqBt8QkauQ/B9kXSZ7eow1o3rMHEveDYA3CqmcT7c2dyFScRapYCP82yhlA9t6FHlLQC+tppAlVN2eLFdPtWueU61K+B1Y6hTTNeJKJZvb6C+53epKPeKu0SytRRHhbsPUzKGIAiCEEk+zRYWiLRgNw0ThRxbBB+yyarlaeETMrJaMu7iVTVU9tgcViRT7gKAdnUImfr9gqWVSgGFeg1BCRWemoluGviHxCpqXIHhsHYWXkUuG9O6YeJKA3v3LskaRYB7TRILMzvM2GhPGzw2JJ2flEVOtSsU8aGjJ7zPo59wjpusalf3UAxT50aFzkEQBEEcTnY45a5AxJ79AK/aBQB+iSyWc0V2fZpLhU9ww4woeOUuvlleJnxKBJk9y1us5GGapnSND82gbOj4u8QSCgbbiB9TJtCujjRpVQ+mWNVxa4stljoe6kBYUtWuxbtxmHs+H6qq4OigXI3n8dU0ipxS+uCYfZaMvaOdGD81IOz1CYIQhzxlpzbzxhtv4M///M/h99+Xil1cXMT/+T//B//tv/03fOc732EKu44fP47//t//O0KhUDOWSxANqRSrqJZZdS1blbuCpNz1tMgbMrFoihtRZZAZu1FIwZS4o+cgKdZ1fDfJHpQrUDHsOg9VkfO9V67pVguVQBs6PXJZHZaLNawupZmxqcGYVElW0zSxeG2VGesbjsEvsLgWAJa4ZMyR54YxMCGnMgJBEAThTHJptlFEZHFXqVi1drFH5dp37MLHErI3inglV+4CgDa1F+qe/kETwB2yZmQwTBPfS6xhm1Mi6FBH0a4N7vOs5jG9mUKhyiaRzrXJ2W2/tpRGpcSudUqihEy1XMP6XbahZWyqR2jCUq/VLUmZV796lpKiBEEQhBB2VtlCjWDEnn1+gSvu8oW80FzynL3mSmxTZijslfa7llf/rdXlaxDZJaywzcj5eg3r1eI+jz486KaBbyWWkeScRALoRK/6bJNW9XCuriWYmFsFcFZS1S7DMLEwE2fGxnqi8Hnk0sZZvsU2ioSjfkQ7xDQHmYaJtRlWFeziF5+T9t5GEIcdeXZFB8BXvvIV/PVf/zXeeecduN2ND7G7urrw7//9v8df/uVfYnBQvsM14nCT4SwZAcHKXZbiLjkr6YEGyl3qobqd2UKHOspcp/UqVisURO0GUdk6+/noVU/Ar7Q1aVUP5+pqwhK0n4/27vPo5rEws8N0xmiqgsn+WBNXZCWxlkYuyX4WxqfEBqSVUhXr82zC57XfItUugiAIQiy8zL5HYKNInusidXk0eCTtYneacpfstowAoCoutKlsUuY2WTN+imma+H5qHXdKbMGbTwljUDvdpFXtT90wcGmZTXL0e4Po88nXAGmaJuZus/vo7mgAsbA8xaUrtzdg7InNVFXB8IRYley1u5vQ9xTjKYqCN377nNA5CIIgiMNLfJ0t7gq02fM9W+SUgAMReVS7ACBXYtcXDMvbHO9R2BiiKnFxlxcReMG6OMyUDncsYZgmvptcwQZX5OZFBCPaBYkbzuu4uclZHAZjiEiq2rWxkka5yOZ9ZGoSAe7Z1fKNIiOTXcKKr3ZWkyhzqoQvf17e4kGCOOzIVXp6AIyPj+O//tf/ilQqhUuXLmFzcxOFQgGdnZ0YGhrC2bNnoWnyyLYTxF5ynCWjqqlwucW9X3lbRkcpd7nkTsjsIvMqA0oHvAijgtynYzcKKQz55LIHOUhM08Q/JdexUWUToUGlA13q0Sat6uGUqjquc6pdR4JRdEim2lWvG9bOmF75OmMWrrKqXaGID119Ym0j12Y2mSI3t8dFQRRBEAQhnFyKs2X0iiu+yufY4q5gNCBtp6eluEtSFeBdfFxxV1XC4i7gnjVjylj59HqrWsJapYgBCW38DhLTNPHj9CZuFtLMuAoNo9oLUBW59r4AcHszbVHtekHCRhEASMWLSCXYe9uxQbGFU0+DaZpYvM522vePxOAVqJwIWFWAn7k4ic7+dqFzEARBEIcXXrkrELan6IpX7grYpBD2pOS4/InMxV1urhm+VpczhgDuFaW3qUPYNm5+Ona3lMHrbX0We8nDgGma+OfMBubKOWbcBT9GtFegKXIWSgHA9XW24VyBvKpdADA/zVq7d0b86JDsvrM2s426vud3qgDD4+LinZU7rPrvyPF+chMhCImR7wTpgGhvb8fbb7/d7GUQxGPBK3d5Ax6hCRMn2TLyCRlZbRmdhKIo6FDHsG5c+3TsbimLNw0dPvVwfl38KreDO1yXkBsBjGgvSZusBIArq3Hoez4jCuRU7VpbSqFSltc+BQDKhQrW59ggT7SFCmANos6+ffyJJe47OzuRTCYf/kCCIAji0FHIcMVdApW1CpxyV8imbn4R1E22a12TXLnLassoZ9d9ROmGG37UcL8x4uNcHAPe4Sauqvn8IrONK3l2b6ZAxZjrZfhV+ZSA9QaqXQO+EAb84Sat6MHwql1BnxtDXWIbMZ6G5EbG0qg3elRssiSfLmJnlX2PvfH180/0WhRLEARBEI2Ir6eZa7uKroqW4i7ZlLucU9xlUe6SNIbYpU0ZwjbuF3eVjDpWKnmM+OTcg9rJR/kdXCuw+zEVboxqr8CjyNs4U9XruL7Brnsy0I6oW67P8S7ZdAnxLTbnKltuArBaMvYMtsMnyNHJqBtYn91ixl7+/NMpS1M8QRD2QtUQBOEgstyBoFegjYppmqg4yJZR52SEVU3uhIxTaFeHoez5aqjDxHWuw/ywMF3M4FdZtqhHhQtjrgtwK3IGJABQqNRwY52XPm5Hu2RB1D37FPb32xMNSmWfAgBLN9cZRS1VUzAy2SV0jmKuhPga+ze7+MUzQucgCIIgCADIpbniLoHKMY2Uu2SFVwGWPZbgbRllVe5SFBXd2hFmbK6UQ7JW2ecZrc+vszv4MBfnRhWMuV5ERJWzG/r2RhpFh6h2lYpVrC1xsc9gh1RWq7xqVzDsQ1ev2OKzxZuc0nA0gHNvnxQ6B0EQBHF4KeZKKGQ5VwO7bBm54i675nkSTNO0FHeFIvIWd1mVuwyYprnPo5uPVwnBD1Z1lG+6PgzcKqTwQZZtXlCgYlh9GT5FvsaQvdzYSFkakZ6XWbXrDpub8Lo1jPTI9TvOp4pIrrOfA5G5ia3lBKplNi98gdxECEJqqLiLIBxENmlV7hJFpaxbNvdeiZW7LLaMpNwlBJfiRZvSz4x9koujasiZQLKL9UoR/5Rcs4yPaC/CL3kQdXklwXw+VADnJEzGpOJFpHn7lCG5OmNMw2qhMjjWCY9XrJLd6p1N5joQ9uG516aEzkEQBEEQtYqOCmcjIrK4i1fuCkblScTwWGwZVbljCS+noluRtLgLADrUUWhg31cfW4qbDgeXcgn8IrNtGR/VzqNN7WvCih6OXjdwecWq2tXvCzVpRQ9m/s4O9h5jaKqCSYmsCKvlGtZm2E74saPdQlWATcO0WDK+8qUzcAuOWQiCIIjDy85a2jLmD4nf65um2cCWUZ5m1XJVtzScB0Py5k/4BhETYJweZKRNHWKu50pZ6KbcimMiWSzn8IO0NScxqJ5HSNLGkF1KNR2XV9k4Ytzfhg6PnOcCtWodK3OsutSR/hg0yc4GeNUuj9eFvsGosNdf5dxEjjw3jK7BmLDXJwhCPHLdpQiCeCB2KneVua4TAPAGxCV7RFM3eOUuOW9nJuQOmBrRpR5lrktGHZfzh0dGNaNX8a3EMurc365ffRYRVb4iqb3kyzXc2mA714+FOtDmlu+goZF9ymCnPPYpALC5GEeJUyEZPya+24i3ZHzhvVOUjCEIgiCEk+csGQHA4xMTT5im2UC5S85DXKBRcZc8Kj+NsNoyylvcpSkudKrjzNjtQgb5em2fZ7Qm1/Mp/CS9aRkf1s6iXRtswooejVsbKceodtV1A4szXAKptx1etzz76NXpTRh7ksCKomB4slPoHJtLcZQLbCL8ja+dEzoHQRAEcbjZ4dTmfUEvNJf4s/hatQ69xu5z7bJ/fBJ41S5VVeAPyps/4W0ZgXvqXTLTprDFXVXTwFI5v8+jW4u1SgH/kFy2ZJN61WctRW8y8tHyDqrc++tcm5xxBACszCeh71EZUwAclayoyTRMLN9mY8rhiU5hudC6Xsf6HG/JSKpdBCE7clZDEATRkGzCPuWucpE9bPcGPFJ3sPMJGU3yhIyTCKjtiChsJ/knuTjKh0C9q2LU8XfxZZS4f2uHOo4ubbJJq3p0Pl7egWHuVe1S8HxUPuljJ9inAMDiNbZTKtoRRKxTrGpBLplHejvLjF34wnNC5yAIgiAIAMinrcVdbp+YIohSsQqjzu7PQzLbMprOsmW0FnfJnZTp0iYsVu+XcokmruhguZ5P4fupdcv4gHYaHdrowS/oEak1UO0alFi1a2UhiWqFjdtkUgI2TROLN9j3Qf9wO3wCm/QAYPEGa8k4dmoAI8f793k0QRAEQTw+8VX2DM+ugqsC1yyiKAr8YXkaVvnirmDYK1SNUzSeBrmdal3u83234kcAbCH8nVK6OYs5QHaqJXwrsQSdi1M7laPoVI/s8yx5SBUrlobzo4F2dHnkPBMwTdNiyTjYFUFQUPObKLaXkyhzaoYiLRk3F3agV+/fExRFwYvvnxb2+gRB2IO8lRsEQVg4SOUuX1CujQwPr9xlR7fQYaZXO8FcV0zD4vXeaqT1Cr65s4iEzm6Yw0oPBlT5OxaShTLubKaZsRPhDkRc8n2WF2biUtunAEAhU8LWIpuEHJ+yQbVrmlXtausM4eRLE8LnIQiCIIhcii3ucntdwpo5eEtGzaUKbUQRjeEQFeBdnKTcBQBuxYeYOsKMXcunUGnxZhHdNPD95HrDwq4+7SS6JW8WubWRQolTy3ghKqd9pGmamJtmEzK9sRCiIXmsm1KbWWTjbIPe6JRYO51KsYqNeTZOf/Nr54XOQRAEQRA762zRRtCm4q4iV8TgC3mlaj7PFfniLnnjHQDQFBUq2OIz2ZW7ACDKqVQtlHOotnAckapV8DeJRVQ5+8k2ZRg96jNNWtXj8cHCFqM4pikKXorK22wQ38ojl2HPMKYG5WkS2WX5JhtXRjuCaIsFhb3+yh1WFez4i+OI9cjlrEIQhBV5tMoJgngombh9yl2VEq/cJU9XTCP0Ot9tL0+gtxc+gDJMZ9g0+pUo2pQBZMz7ykVX8kkMeYOY9LfeBm+mmMH3U+uWIMqLMEa0F6Eocr6/djFNE7+YY4Mol6LiXJt8ql1G3WqfMtYblco+BbCqdrncGgbHxAZ5Rt3AAtdp//Lnnn3q+1mlUsF3vvMdZuz999+H1yv3fZ0gCIKwlwJny+jxibMQyefYREwwGpC6i73uMBVgvrirKnlxFwB0a0eQMBY+va6aBq7mk3ghIq7TWCZyeg3fTqxgs1qy/KxHnUKvNtWEVT06tbqBK5xq17AvjD6fuOSBSOJbeWRT7O/6uESqXYA1GRMIedHd1yZ0jqXbazD33M/cXhcufPG5p3pNiiUIgiAIHqtylz3F1Pms3DbvuRIX84TlKSrfD4+qMm4cVckVgAEgogxiHVeA35x066aJO6UMngnKZZkngpxexd8kFi0uImGlD4PqOalj6l1W0wUspdi85XPhboQlbDjfZZ5rEokEvOhtlyvuqZZr2Jhn1ylStatW1bG5wDaJXBBkyUjxBEHYi1yZVIIgHkiKs+7yBcV9GZa54i6ZlbvqhmEpknK55Sy+8WpsIqZckz8Rs0uvdhJZfQMm7gd9/5RcQ3ePT0o1qCdBNw38NL2Fq4Wk5WcueDHmughNEZf4tIvFRB5raVbZ70ykC0GXfGtfX06jUtaZsWNDnfs8ujnotToWb7LFXcMTnXC5tX2e8WSsz22jXGAPhl77reef+nVzuRz+9E//lBmbmZmhAIogCOKQw6sAiyzu4i1Ugm1yJWJ4eIt36W0ZuZhCN0zUDQOaREoGPD4lhKjSj7R5v8Dlo2wcp4LtCGitdRS1Vini2/EVFA3d8rNu9Sj6OFVkGbm0HLeodp1v723Sah7O7C02ERH2ezDQEW7SaqzUKjpW72wxY6NHuoQm6EzTxMJ1tlHkxc8+89RqKhRLEARBEDy8cpddtow5rrgr3C6XpRtvyxiSyDJyPzyKhjL2FHc5QLnLpXgRUnqQN++rCv06u41j/ijcEsc/j0uxruNvEovI1dm8XFDpwpD6kvTN5sA9IYMPFtg9r1914WxEvobzXUqFKjZW0szY0cGYdIV0q3c2YewRuFBVBUPj4nIoG/PbqO8p9tRcKs6/e0rIa1M8QRD2Iv+3A0EQAO4VG2QTbAW8X6DlQKXMKXcJtHwUjd4gCHG7xBZdiMKvsomLcq0O0yHqXT4ljAGNrdavmAb+MbmKukP+DQ8irVfxf7cXGhZ2eRHGhOs1eBW5OjYaUTcMfDDPSuiGNDfOSKjaBQDznGpXdzSAdonsU4B7wVONK0CbOC4+uTV3ZYm5Pnp2BGMnB4TPQxAEQRAAsLPGJmVExhIlrljZrm5+UfDxhCapCvAuHsUa6zghMdOtHWWuK6aBn2e29nm08zBNE1fzSfzV9qKlsEuFhhHtPAZcp6RLFPBkS1VcW2XtyEf8EfR65YyFctkyNlczzNjUYIdUv+eV6Q3oe4vlFGBYYKc9AOysJJFPsUW7b36dLBkJgiAI8fBxhF3FXfksq8oZjEpW3GWxZZS/UIEvhqrVndF43qkcYa4Lho6rhcQ+j3YeFaOOv0ssIqWz7yk/2jGsXoDaIP6TkZntDOIFtijzhbY+eFR5178wE8fe1JZLUzHR1968Be3D8s0N5rpvuB0er7gmqdU77Os/c/EIIgItHwmCsA+5TzAJgviUTDxnGROp3GWxZZRYuavWQD5YVuUuH9eVbsIZ8se7xJQxRJVBZmyjWsIvHJ6UmSlm8Bdbc9iulS0/a1eGccT1FnyKM+wnr60lkeWKM19u75eykymbKiGxxRapHh2Qyz7FNE3MX2E74Lv72xAWrECSiecQ5w7H3v3DC0LnIAiCIIi97PB2KgK/2wo5vrhLbuUuS3GXpI0iuzTa1zWKiWQjqMbQrg4xYzcK6YbWhU5DNw18P7WOH6Y2YIBtfPEgiKOuNxDThvZ5tlz8cn6Lad5RAVxo72/egh7CHKfa5XapmOyXJyFjmiYWrrLxRN9QOwICz28AYP7qMnM9MNGN4y+MC52DIAiCIMqFCvIp1t7dtuKuDHtOG5JIuatS0y3W6MGwvPmTXfgiGyc0iABASO1BUOlmxj7K7aBUtyrlOg3dNPDtxJIlL+FFBCPaK45wEQHu2br/eondl7e7fTgRkuusfy/1uoGFu2zj+VhvFB7JzgOy8TzS22w+WKQlY7Vcw+Yi+3t4WZAlI0EQ9iNf5pcgiIakuC9zRVWEWqmUeeWugLzBSa1BEKK55Lyd+VRrNX1Jd04QoigKBrWz8ICt2v8kn8BCyVpwKDtlQ8c/JdfwD8lVVE32faRAw5D2PIa0c9AUZ1jFFKs6Li2zG/FebwBHgtHmLOghzM+wPvE+twvD3XIV0SXW0sjG2QK0yRN2qHaxyZi2zhBefE+M9DFBEARBNGJnlVUrDUbEJUsKeWcrd8naKLKLu4ElR6OYSEb6tVNQwR6W/zi14Rg140bk6zX81fYibhTSlp+FlW5Mud+EX207+IU9ASupPBYTbFz3TKQLMY+cn+FKWcfyHKvacHQgJpWSd3w1hVySTYJPHBMbT5TyZazPscm0d37/JanUywiCIIjWgLdkBPDUFsCNqFZ0VCvsmXlIIuUu3pJRUYBAyAHKXZwClJOaznvVZ5jrqmngH5Mr0E3n/Bt4qkYdfxdfwlqV3Su6EcCo9ipcivzvqV2uriVQrLKf2YvRfqgS70fXFlOocm4dxwblK0ZbvLHOXPsCbvT0R4W9/trsFkzjfjzu9rhw7p0Twl6fIAh7kfsEkyCIT0ltZ5lrf8gr9ODOotwlc3EX1yXjcqvSHmK6VRUuLhlTrjpD/ngXTXFjxPUiFO4r47upNayUC/s8Sy5M08SdYgb/v81Z3CymLT/3IowjrjcRU0elfS814sPFbUti75XYoJT/hlqtjpU5Nqk8OdAOTTKFsfkrK8x1MOxDz0BU6BzVcg3Lt9kg7e3fexEujzOKCgmCIAhnss0Vd4nquK/rhiWWEKkKZge6wRV3SdoosouiKJYCL6d03XsUP3q1Y8zYRrWE28XMPs+Qm7VKEX+xOY+NBupj3epRTLguwqXIG0vvRTcM/Owua+/uUzWcl9TeHQAWZnZQr99PRCgKMDXY2cQVWZnnVLtCER+6+sQ2tCxcX2UKJL1+N1776lmhcxAEQRAEAKS22JyEx+e2RfW2yDWLQJGrYaTMFbH4/G6oqnznrzxelY8hnJOX8CvtaFNYJdzVagE/SK05slGkYtTxt4klrFbZfIoLXoxqr8GtyB1D76VY1XFljW24GPKFMeyTq4l7L6ZpYu422xzR2x5ENCTPfQYAahUdy7fYvMHweBcUgfebFS4v8dzrUwiEnfP+I4jDjtwnmARBfApf3OULitt0GIZp6YyRubjL0mkvUZduI3yc/HFZd04QtUtAaUc/1y1TNur4ZnwRP8tsoS5xx0xWr+LvEsv4x+Qqiob1d79rw+hXnNFdv8tOroTpzTQzdizYjh6vPF1te1mZT0Lf0x2m4F6XvUwUc2VszLFKaBPHe4QXyy3dWkN9z31A1VS8/bsvCp2DIAiCIPZSLdeQ4ZQpg4IKsCyJGABBiRIxjbDaMsp/NMJbqjhFuQsAutRJeDkl4B+lNnCrkHZMYsY0TVzJJfFX2wsoGGzsrELDqPYCBlynpGyy2I8rKwlky6wKxUvt/fBqcjYc1OsG5qdZJeDRniiCAhXNn5ZSroxNLp4YPyY2njDqBhausw0pF790hhIyBEEQhC1kEmwM4RNsM7xLscDGFP6gF6omzx69UmPPlD1eOfdLPF7OVaTiIOUuAOhVT8MFNra8U8rgg+z2Ps+Qk1Jdx1/HF7DBKXapcGNEexVeJdSklT0Zn6zsWOLRC9F+qWOh5E4B6STboHNsSK4mEQBYurkOfa84hAKMTXXv/4THpJgtWVTdL37pjLDXJwjCfuTZHREE8UD4Lhm/wECqwlkyAoBP4uKumu4sGxU/dzherjnHlnEvHeoE2pR+y/jHuTj+z/YCkjVrYq+ZGKaJS7kE/r+tOSyU85afq3Bh0GE2jLuYpolfzLFd9i5FxUvt1r+PDJimiYU7bCJmoDOCoE+u+8ziNbYDXnOpQv3sgd90CV1lLRnPv3sSsV5nFRcSBEEQzoI/vAPE2akU8mXm2uN3S69GyR9Ey94sAlitGZ1U3KUqGgZcp5mxqmngu8k1/GNiFeUGDRgyoZsG/im1jh+lN8D/1j0I4qjrDbRrg01Z25OSKVVxmbN37/EGcCIkV/PFXpbnkqhwNionhuVKyCxcX7M9ntiY30aZS4B/5vdfFjoHQRAEQezCN4jY1RBeKrAF5/6wXM0iVYcWd/ENIlWHNZ27FT9GtIsWm/eP8ju4XrDGuDJSqOv4f/EFbNfYuFmDB2Paa/Ar0eYs7AlJlyq4tcnatR4LxtDpkbPhfBdetSvkc2OgM9yk1TTGNEyLq0j/cAxBgffDlTsbzHUw4seZN4/t82iCIGRE7ooIgiA+xaLcJdDTnbdRgXJPYllWanXellHuZIyf65Ap1ZwVRO2iKAqGtHMIKdZOge1aGX+xPYdr+aQU3fdb1RL+784C/jmziVoDVbGI0ocp12fQ4TAbxl3m4llsZtlOk3NtPQi65PzcJrYLyKbZAHZqUK7EUV2vY/E6K0k8MtkFt+Dk9NZSHIU026X13h9eEDoHQRAEQfBsr7KHr16/R1gBVoFT7hJl92gnzlTu4ou7nBVTtKl9DRtF7pSy+P82Z7HcoBlDBnJ6Df93exE3C2nLz8JKN6bcb8KvOqtI3zRN/Hx2A/U9cZsC4HVJ7d2Be4mOuze3mLHeWAgxidSq6rqBpRtrzNjwRKfweGKeU+06cmYYoyfkbPIhCIIgnA9f3OUL2KPcVeKVuwTmPkTAK3e5vXLnI3bxcsVdFYcVdwH37BmH1Jdwb8d6nx+n13G3lJEiF7EfuXoN34zPI6Gz728XfBjT3oBfaW/Syp4M0zTx09kNGHt+5RoUvNDW17xFPQKlQhXry2lmbGqoA6pksc/G/A6KWTaHMnmiV9jrm6aJZc6S8cX3n4HHK2dOiSCIxjijvJwgCKR3eFtG+5S7vH63UA9n0ThNuctnUe5yXhC1i6a4Ma69grhxFxvGTZh7etd108QP0xtYLOfxmfZ+i2LZQZCv1/DzzBZuFzMNf+6CDwPac2hT5JYJfhB63cCv5tlOk4jLg2cjYjvCRcKrdoX9HvTF5JKbXr2zhSp3Lxw/Ji542mXuCqvaNTTVi2Pnx4TPQxAEQRB74ZW7RBZgFXPsQbXsloxAI5t3ueMJAHDzXfcOUu7aZcR1Dqv1K0ga7H4oX9fxzZ0lnA114JVoN1yKHH+PlXIBf59YQamBsliPehR92klHxhTz8RxWUgVm7HSkC12S2rsDwPpKGgXuXnNSMtWu9dltVIr2xhOFbAnbSwlm7J1/8ZLQOQiCIAhiL5lEjrm2S7mryCt3SRZTVHVWPdQjuVLxLq1Q3AUAYbUP/TiDdePSp2MmgH9MrqDL7cOzwQ5MBdqkiSMAIKNX8dfxBWTr7P7QDT9GtdfgVeRSjXoUbm+lsZZhm5ZPh7sQdsnlzsEzP7ODvTWAmqpgsk+uxnMAmLvMNnFEO4Lo6Bb3Psns5JDlrHZfIUtGgnAcztiBEASB1DYbSPmD4gKcMqfc5bWpA0cUTrNRaRVbxl0URUGXdhQhtRtL+oeogH1vzpVz2Niawzvt/ZjwH0yQUjMMfJyP4+NcHPo+3ToxdQz96iloitzBxsO4sppAvsJ+Zi+098OlyhO87qVcqmGN64w5OhiTKhFmmlbJ4+7+NkSiYpUA8ukiNhfYQrf3/vCCVL8LgiAIojXZ4ZS7gm3ivuOcptxVNwzw20XZm0WABraMuvOKuzTFhRHXOUSMPqzol1EHm8S7lE9gqZLHS5EutLs8iLo8FiuZg6BY1/GzzFZDtS4VGoZd59CuDhz4ukRQ1esWe/eg5sYLUfFNDaIwTRN3b7CqXe0hn3TNIgtXV5nrzp4w2trFFswt32KVwQJhH156//Q+jyYIgiCIp+fglLu44q6QXMVdvHKXx6nKXQ5sENklpo6jZhaxY04z4zu1Mn6QXsMvsps4FYzhdDCGkNZcJaLVSgHfS64gb7B5IDeCGNNeg0cJNmllT06+UsMHC+yePKS5ca5N3jgCuKeuuzjD2tFP9LXDI5kbUHori8RamhmbPNEnNG+wPM2qdnX2RzF1blTY6xMEcTBQcRdBOITUlo22jLxyl00dOKLQOQsSt+TJGB8XRDnVlpHHr0Rx1PUW1o3rSBjzzM+Kho5vJZZxIhDFG9FeSyApCtM0cbuYwS+yW8jXGxfNeRHCoHYWIVVeZatHJVeu4coKG4z0e4MYD8hrBbN0Nw5zj1azpiqY6JNLcjq5nkFmhz2smjguPjCdv8qqVATCPlyk7hiCIAjiANi2U7mLL+5qkysRw8OrdgFOsWVk99N8w4uTaFcHEHLHsKR/gpzJKtImahX8Q+J+kUxQdSHqvlfo1e7yoMPtRbfbj5DmEl4gb5gmrhdS+HlmG5UGal1eBDHmehl+NSJ03oPk46UdFKts3PRKbKApRXSPSmIrj1SCVQg4OdIlVYNEejuH5AarHj0uOJ4wTROLN9nirgtffA4eH9moEARBEPbBF3d5g3Ypd3G2jGG5YgqLLSMpdzWFbvUkqkYRGXPZ8rOSUcdHuR18ktvBpL8NxwJRDHmDB6rmpZsGfpndwuV8wvIzL8IY1V6DW5G7GaoRu3aMvHr0G7FhqeMIAFhZSKJaYd/3x4Y6mrSa/ZnlVLt8fjcGR8Wpi5mGiZXpDWbs4pfOQJVUMIAgiP1xxg6EIA45tYqOHGeb4Bdpy2hR7pK7uMtqyyj3BrKVbBl5VMWFQe0MIkovVuqfQAcbiN8qprFcyePd9gGM+MR1VtdNE3OlLD7KxbFdKzd8jAoXetRj6FQnoSpyv0celV8tbEHfUyilAHi1Y1CqxMZeDMPEAtcZM9oThdct1/aDV+0Khr3oHYgKnUOv6Vi8yXbzv/7b5+CT/H5LEARBtAa2Knfl2L2Y7MpdjYq7ZFcCBgAPd+jqRFvGvbgVPyZcF7FjzGG9foOxe99LwdBRqOhYq7DFPT5VQ7fbhy6P79P/jbm8UJ9wX7xRKeJHqQ1s7RNbRJQejLjOw+VgFeB4vozra2yh55AvjAmJG0UAYOYmqxAQ9Lkx0i3XmnnVLl/Ajf5hsQ0tOytJFLMlZuyNr50XOgdBEARB8KS2uYZzG5S7DMNEucgqdwXCcjmLVB2r3MWewVb1OkzTlPYs+WEoioJB9TwCZgcSxgyqKFgeYwCYKWUwU8rAo6gY84Ux6Y9gxBuG28ZClu1qCd9LrSKpVyw/86ENo9qrcClyFS0+Knd3slhKsYWex4IxjPjlbnoxTRPz06yLRl8shDaBrkgiKOUrWJthY57x471QNXHv1+2VBMpcES1ZMhKEM5Eru0oQREPS8ZxlzCdQmtii3OWXu/PTYssouXKXX20tW8ZGRNQ+HFXewUr9E+RM1uYjX9fx1/ElnA6249W2nqfq5ijVdVwvpHC1kNxXqQsAOtQx9Kgn4HZowNSItXQBczvsgcrJcCc6PfImUDdXMygV2fvL1KBcfvalXBnrs2yQN36sF4oq9pBj+fY6apX771lFUfDuH74sdA6CIAiC2A+7lLtqVR21KpvoEFk4ZgdOVe5yK62j3LWLoijo1iYRVrqxVP8IJTPz8Cf9hrJRx3KlgOXK/YSOW1Ex6A1g0BvEoDeAbo8f2kMSVzm9hl9ld3C9kGr4cxUu9GnH0aVOOjYJBtxLbPxsdgN7HUk1KHhN4kYRAMikithaY2OgE8OdUAXv1Z+GarmG1TtsDDx2tEd4FzzfKDI01YvxU860ByUIgiCcgV7VkU2wBR12KGqVS1WLbbp0yl06X9zljNSql4shDBPQDRNuTZ691OOiKAo6lAnElHHkzA0kzFkUODXgXaqmgTulDO6UMnApCka99wq9xnxhYYpThmni49wOfp3bbtiuElS6MKS+7NgmkWJVx8/n2b1uQHXhYlT+fWhiO49Mim2OkFG1a+HaKuN8omoKxo52C51jhbNkHDs5gMEjPULnIAjiYHDGDoQgDjl8h4yqqXALDCDKnHKXT6AqmB04TbnL38LKXXtxKz6MaReQMpewVr8KA2zx1bVCCkvlPF5p68GY7/E6ZeK1Mi7nErhdzKAOc9/HhZRu9Gun4Vfk6uR+WgzTxC/m2CDKq2p4MSq3p/38HbZoqiPiR0ck0KTVNGbh2hrMPSdImkvFyKRYC0/TNDF7mZULf+71KfSOdAqdhyAIgiAaUcyVUMiwB5rBNjHfx4W8tStZtkQMD1/cpWqKVIUi+8Erd9XqrRNT+NUIjipvIG4sIGNsoGLmUUPpoc/jqZkGFsp5LJTvJSFdioJ+TwAD3gCiLg/ydR3Zeg05vfqb/62hYu5fJBdVBzGoPeNI6xSe2xtpbHGqT2ejPYi65Y79795kE3Vet4aJfrmaRZZvbaC+54xCURSMCk7GVMs1rN1lu/nf/Np5qQvzCIIgCOfD5yQAwC+w4XyXUoFV7VI1FR7Jms+rXLO2c5S7rOus6HW4BSoCNQtFURBR+hFBP8pmBgljDmlzCSYax0m6aWK2nMVsOQsNCkZ8IRzxt2HMF274e3oYhmliq1rCP2c2sFWzxi4KVPSop9ChHHH0nu3n85uW4sbXY0MWtxoZmbvN5ibCfg8GOsJNWk1j6nodi9dY6/XhiS54BVqv1/U61mbZWOLil54T9voEQRws8t99CYKweNv7gl6hG0Je9tgblLuLoMZtJmUv7gpwG91q3UC5psMnmTWdCBRFQUwZRUjpxkr9E+S5rplMvYZ/SK7e65TxhXHUH8GYL2TplMnXa9islrBRKWKtWsRG9cHJHS9C6NdOI6z0OjpY2o8ba0kkOdncl6J9UgdRmVQJOxus6uDRAbkSMXqtjoVrbAf88ESn8O67jflt5JLsffy9b1wQOgdBEARB7AdvyQgAgbCYYhU+EeMLeqRXwaryjSIOsGQEADe3X67ozlfu2ouqaOjWJtGtTQIADLOOCgqomHnmv5KZQR21h7zaPXTTtKh7PQpehDHkehZhVWyBTrMoVGr41QJ7mN/m8uBsRO5/Xz5XweoCqzo4NdghVTLSNE1LPDEwEoNfsPX68u01GHsKUzW3hotko0IQBEHYTGKTVVXVXGIbzncpcg0j/rDY3MfTYpimJYbweOQ9k91LI3Wqil5HyCtX8dzT4lPaMKCdRY95CmlzCVljFUUk9n18HSbmyznMl3PQoGDYF8IRfwRD3hD8qquh+q9pmsjUq1iuFLBSzmOlUkDFbFxI5kMUg9p5+BzegD4fz2IuzhZ5TgSiGA9Em7Ogx6CYr2B9Jc2MTQ12SHVvAYCV25uocs5KkyfENvRvzO9A36O4rigKXv78c0LnIAji4HDGDoQgDjlZrijA6xd7UFjiirv8kit3VXkZZI/cCZmIywsVCow9ilPJQgX90da9BXuUAMa1V5Aw5rFhXIfBdczoponZUhazpfudMn0eP3ZqZWxUS8jVHy1hE1A60KlOIKoMQFHkOeQXSaFSw0dLnAKW24cTYfkkhPcyd9vaZT/aE23OYvZhbWaLsUoEgMnjfULnME0Tdz6cZ8YGj/TgmYtHhM6zl1gshpmZGcsYQRAEcTjZXmGLI/whr7ACrCr3PeoRHKfYQbnKrtnrc8aePMBZvZeqrWf1vhdV0eBHBH4lwoybpokqiiiZaZSMDIpmGiUz80RKX5Y5oaH3NxaMaovEFrt2jFVOse71jiG4BNsGimbm+iZj0aSpCqYG5YqBdpaTKKTZ9974MbH2JqZpYp4rIDv/mZOIxIJC59mFYgmCIAhil9QWW9ThD/lsKYyw5CYkUwLmG80BwO0Q5S5VUeBRVFT3qNXyhWqthEvxoFM5gk71CGpmCVlzDVlzDQVzZ9/n1GFioZzDQvl+k7JXUeFTXfCrGvyaC25FxWa1iOxDcxYKupRj6FKPOz6eKNfq+OncBjPmUzW81j7YpBU9HvN34thrAOPSVEz0tzdvQQ0wTRNzl1eYse7+NkSiYp1PljlLxpMvTyDWE9nn0U8PxRMEYS/OOMUkiENOLsl2GnsFdoHWdQO1Khug+EJyF3dVOFtDOzqGRKIqCtrdXiRq5U/HUsUK+qP2HMbKgqIo6NQmEFZ7sFL/GAWzcbfM3k6ZR3pdKIgqQ+hUJxBQW39T+KuFbdQaJGNUybpM9lIu1bAyb+2yd0nWZT9/hU2SdPe3IRwVa7sTX00iyXU6funfvgHVxmSaqqro7CTLR4IgCOIe26vsd7IoS0agUXGX/B3gTi3u4q3eS7XWLu7aD0VR4EUQXiWIqDrw6XjNLCNn7CBvxlEw4yibjxZb/OZVEVX7MaA9A48il4X40zK7k8Vigm0Wmwq2Y8gvlx0JTzFfxXKDeMInmUrG/FU2nohE/ejoEfu7TaynLSrAb//ei0Ln2AvFEgRBEMQuvHKXXUVXvBqwHdaPTwOfiwCco9wF3FPv2lvoz1vstSpuxY8OZRIdmIRuVpA115E1V3/jNGI+8LkV00ClXkWmDjyiaDA8CGFQO4+AIlczwpPyi4VNlLj3/ivtgwho8sf8um5g8W6cGZvoa4dHMtXuneWkJfc7eUJs43m1XMXmAlvceOELzwmdg4fiCYKwF+fsQAjiEJNJ8Mpd4jZQfGcMcM/2UWacptwFADGPjynu4i32WhmvEsKE9jpS5hJSxjLyD+iUeRAueNGhjqNDHYdbkSvIt4v1dAF3t9mDlGOhGPp8chcGzk/vwDDuB8mqqkhnyZjayCKzwyb9Jo6LlTwGgOmPWNWursF2XPj8s8LnIQiCIIj94JW7AhFxhcyW4i6f/Ae95VprFHdVdAN1w4Smylvwf5C4FR9i2hBiGAIA1MwKCmYceSOBgplA3azBrfjhUfzwIACPcv8/N/xQFfljyselWNXx89lNZsyvunAxNrDPM+Th7s0tmFw8cWJYrgRBKVfG5gKbNBo/1iNc0WThOtvN3zvSgRMvjgudgyAIgiAakdriirtsKrpqZMsoE3xxl6Yp0lvR78WrupDfozhVqR+O4q69uBQvYsoYYhhD3azuKfTagvmQQq+H4UUYEWUQXeoUVMUZseXDWErmMMPlJEZ9ERwNyKV8tR8r8wmLoMWxIfmK7njVrnCbDz0DYq081+6ycZXb48KLnz0ldA6CIA6W1vimIYgWx6Lc5RcX4JRLbHGX5tbgkrhYyjBM6JyKkVvi9e4Sc7PBb7J4eIq7gHsd9jFlFDF1FLpZQcZcR8ZYQ97c3jeAUuFCQIkhqMQQUDoQUrpaMumyH3XDxM+4ZIxX1fByu9juDdHouoGFGbaAb7w3Cr9XrmQvb20SCHnROxAVOkdqK4PtJVax7gv/+nVoknUJEQRBEK3N9kqKuRar3MW2MTuiuMui3CX/mgE07JAu1XSEJNtjyYJb8SKqDDDqXocJ0zTxs7sbFmWG1zoGLYWCslEu1Syd9kf6Y9LFE4s31lmrF5eKoYkuoXNUy1WszrAx4Vu/+6KtKsAEQRAEsUvSYstoT9EV33wekMyWscq7iDhItQu4d568l0ZKZIcJTfGgXRlFO0Z/U+i1safQ6+GWlS54EVR6EFK6EVK64W4x5d+KXsc/z7J2jB5FxeuxIVtsWUVjGCbu3thixvo7QogE5CoaTW9nsbXI5g0mTvQJ/x0v3WItGc+8eQyBsFjnEoIgDhZn7UII4pCS5Yq7PAJtGcu8p33IK/UmrZFssEdyW0bAWtyVKlRgmqbUv2u7cCledChj6FDHoO8GUMYGaijDhzACagxBpQNehA/l72eXG+tJpLgiwBejfdJLH6/MJVCtsJ/T40NyddmXCxWs32WDvPGpHiiClS/ufLTAXEc6Qnjjt88JnYMgCIIgHsb2CntgGGw75MpdfHGXX/5YAgB8qgYFrIFIqUrFXURj5nayWEhwKrWBKCaD0eYs6DG4e3OLVQFWFJwckSueMAwDSzfYRMnQeCfcbrFNHEu31mHsaW7T3Bpe+63nhc5BEARBEPuR5hTv7XL7qJbZhhGvwNyHCAyTbUxWNWedVwe4wv589RF9Bg8B9wq9RtCOEZimgTqq0FG5979m5f61WYVbCSCkdMOLSEvnLD5Y2EKBi5kvtA8g5JLrc7kfS7MJFPJszlO23AQATP+KzRt4vC4MT4hdZy6ZR2KdbfZ75UtnhM5BEMTB44xTTII45PDFXWJtGdnNvC8o9yaN75QBHKLc5WGTaGW9jlKtjoDDOn1E41I8iCkjiKkjzV6KVOQrNXy8xKpfdXr8OBmWTz54L6ZpYvb2NjPW3xFC1CbZ9idl6eY6jDpr8zJyRGyXfS5VwNpdtsv+/T9+xRFJb4IgCKJ1MAwDO2t2KndxxV0C4xS7sCp3OWM/rigK/JoLxfr99Zc4i0mCAO4V/f18jt2H+lQNr3XIr2JWKetYmOGsDvuiCPrkOqfYnE+gXGAbccameoTOYZomFq6zasMvvHsSbR0hofMQBEEQxH5kE3nm2muT8k2Vs0+jszOxhDV2H5UrU3FXIxRFhQs+uPCbc+zWrd/al5VUHre30szYoC+ME0G5cxK71OsG7lxjVcc6I370xeTaP6e2stic55SKT/bBJdjtY/HmGnMdiQVx5o1jQucgCOLgccYpJkEccnJJLpDy26fcZVcHjiiqOpvA0FwqNE1+S4KIywNNUVDf0+mTKlQOfXEXYcU0TfzzzAZqnP3o67FBqJJ3BW2uZpDPskmOE8Nii6aeFsMwsHiNDWwGxzuFWzLNfMx23/hDXrz7By8JnWM/qtUqPvzwQ2bshRdegMcjV1KMIAiCsJ/0Th41rgBLqHJX2YHKXVyziFNsGQHAr7LFXcXq4bZUIRrzs9lNy/v8tY5B6RWAAWB+eht1/X4cpCjAqdHuJq6oMYtc0VV7ZwjRjqDQORLractZ0Fu/+6LQORpBsQRBEASxi6Xh3AZFLcMwofO2h5I1X0h+HPtQwpziUr5CxV2Elapex084O0a3ouLN2LBjlMqW7iYsYhbPTfRKt/7pD+aZa4/XhfHjvULnMOoGlm6xOZBXv3oWrgPIR1I8QRD2ItcuiSAIC6Zp2hpI8Z72vpDkxV0Wj3v5VbuAe1YS7W4f4tXSp2PJYgUD7WIPgAnnM7OdwUqKPcQ/Hoqh1yf/e+XuLVa1qz3kQ69k7/HN+ThKebYAbeKY2C77Ur5sCZ4+8/svH5iffTabxZe+9CVmbGZmBp2d8klQEwRBEPays5pkrlVNFdrM0RK2jJIljx5EQHMjUSt/ek3KXQTP3E4W8/EsMzYeaMNkINqcBT0GtVodc9OsevFoTxRhgc1tIihkStheYu+t41PiC9AWrq0w170jHTj50oTweXgoliAIgiAAQK/VkU8XmTGfDd/Jtap1P+sm23Gh8MVdOSruIhrwweK2pfDvQnQAEYfYMdZ1A3eus+rF3dGgdLmJ5EYGW4sJZuzoqX7h9u6bi3FUuNzvG799Xugc+0HxBEHYi/xyNwRxyCnlK5bulcOs3FXhfhcehxR3AUDMzVrTJQvlfR5JHFYKlRp+wVmoBDQXLrT3N2lFj04qXkBiiytKG+6UrjNm4SrfZR9Ee6dYaea7lxZhGvdV+tweF97/41eEzkEQBEEQj8L2CluAEIj4hX43O624S68b0Dl1VGcVd7FrLTVIhhGHl1JNx8+4bnuvquH1jkHp9uSNWLgTR41Tozs1IpcKMAAsXmebONweDQNjYq1qquUqVjmL97d+90VH/B0JgiCI1oBvNgfssWXk4wkA8Mi+Pzcf/hCZ4G0ZS7W6JSYiDjer6TxubaaYsQFvCCdDzrBjBICFmR2US5xq13iPdPvn6V+xql1enwvjghvPAWDxBpsDOfLcMAaPiJ+HIIiDh4q7CEJyco0CKYHFXbxyl1925S6dU+7ySh7s7aHDwxZ3pYqVfR5JHEZM08TPZjdR1dng+o2OIfg0+d/ns5xql9/jwmhPW5NW05hcsoCdFTZQnRAseVwt1yxd9q9/7RyiXWGh8xAEQRDEo8AXd4m0ZKzrBupcUsDjl7u4i1ftAhxmy8jtCYtU3EXs4ReN7BhjzrBjrNcNzN7eYsaGuiKIhnz7PKM5GHUDSzfXmbHhiS64XGKbzpZurcPYc391uTW8/lvPC52DIAiCIB5ENsE2cEKxZ6/PK3epmgpN8PfqYYdX7gJIvYu4T1Wv4yd32QYRl6LirQ7n2DHqtTpmbrCxRG8shB7ZVLvWMxYF4KOn+uESrNpVLlSwucAqIr/x9YNR7SIIwn6ouIsgJCebZAMpVVOhCfqyN00TZc6DWnZbxtZS7qrANB3W6kPYxtxOFouJHDN2JBjFWECuAqlGFPNVrC2xRVNTQx3QVLm2GfOcapfH68LAiNgOpIXrK4zaoqIq+MK/ek3oHARBEATxqFiLuwLCXrvSICEgu3IXX9ylqgpcbrn2Kw/CzxXplLjYiDi8LMSzmN1h7RjH/BEcCUabs6DHZHk2gUqJ/XzKqNq1PruDKqcIMDYltgPeNE0sXGfjlvPvnkKkQ6zaMEEQBEE8iAx3Run1e2wp9HCaEjDgOOEueFQNXpXNofD2e8Th5VdL25ZivwvRfkRccucJ9zJ/ZweVMnsveW5cvG3603LbotrlxpgNql1Lt9aYvKM34MHLn3tW+DwEQTQH55xiEsQhhZdA9gbEBVK1at3SbS+7LaNFucsjv6LRLjEPq5RQrRsoNJCeJg4fpaqOn3N2jH7VhVdjg01a0eMxN72NvXWKmqrg6ECseQtqQK2qY+U224U0erQbmkvcVsioG5i9vMSMvfT+M+gZdo6ENUEQBNFabK9yxV0RccpdjSxUZFfVLdfYNXt9Lsd0IwMNbBlrFEsQ9xTc/vluIzvGIUe8vw3DxMxNa6d9p8BiVFEsckVXnT1hRKLi7qsAkNrKIMc1+b39ey8KnYMgCIIgHkY2Yc1J2AFvyeyW0JJR/t3Uw+GtGUm5iwCAtXQBNzfYhu1+bwinQp1NWtHjU6taVbv6O0LoapNLtSuxlsbOMns+M/VMv3AFYNM0sXiTjVleev+09I5NBEE8OlTcRRCSwyt3ibRkLHOWjIADirt45S6vc5S7wpobHoW97SaK5SathpCJn881sFDpGLRY78hIrVrH4t04MzbZH4PXLdfaV25vQt97YKQA44K77FdnNlEusHarn/sTUu0iCIIgmoedtox8cZfb54Kiyp364JW7vBImjx4EX9xFtoyEaZr4ycy6JZZ4NTaAoEt+5QsAWJlPophnzyZkVO3KJQuIr6aZMdGqXQCweHONue4eiuHEi+PC5yEIgiCIB5HhbBl9AXtyBk5U7oIDnTh4a0Yq7iJqdQM/mWXtxl2KgrdizrFjBO41nfNFos+Ni9+jPy28apfP77Yllkisp5FPFZmxN752Tvg8BEE0DyruIgjJsSh3CSzuKpXYA1SPzy1UxcYOKrpzbRkVRbGodyXyVNx12JnbyWKOs1CZCLRh0iEWKot349BrrALg8SG5lKpM08T8lRVmrG+wHQGBHSumaeLupUVmbOrcKCafHRI2B0EQBEE8DqZpIhNn7VQCYXHFXQanACy649QOytyhryOSR3sIcraM5VrdYltPHC5ubaSwzDWEjfojOBpsb9KKHo963cD0VVZ1rDPiR2+7XJ32QGOL9/4RsWrFelXHyjSbZHv1q2cdlWAjCIIgWoMsV9xll3JXlWtWkFMJ2Pnfw7xyV75MxV2HnY+Wt5Hl3gcvRfvR5pZb/GEv1aqO2VvbzNhgZwQdEbkUgOOrKcRXWIW0qdMDtuRiedWu/vEuTD0/KnwegiCah9xVHARBIJ8uMdcev7gERJXzofYG5E9u6FwSSXPLn0TaSxdX3LWRKe3zSOIwUKrq+Nms1ULltQ5n2DHW64YlgBrqiiBsUzffk7I5H7d0rIwfF9sZE19NIr3NFul97o9fFToHQRAEQTwOpXwZdZ3dO4uMJXiVLtMBHeyVBraMTiLq9kLlkkuJAjWLHFbSxQo+mGctSAKaC291OqfbfuluAsUC23R2eqxHuvXva/GuiT1WXbmzwagNK6qCN792XugcBEEQBPEoZOL2uYnspeZE5S4HQspdxF62cyVcW2NVvvu8QZwOyaee+yBmbzVS7epu0moaY5ombn/AqXYFPBg9In6dtaqO1ZlNZuz13z4nXWxFEMTTQcVdBCE5hSxbkCAywLF42nvlD57qfHGX4MNUu+nzsR3Im9kiDAckwgjxmKaJn97dsNoxxgYR0OT/LALA8lwS5RJ7GHBSQguVu58sMddt7QF097UJnWPmk0Xmume4A+feOSF0DoIgCIJ4HHLJomVMZFJG5Q4IDUP+PS2vcuWRUhlgfzRFRTvXSZ0sVvZ5NNHK1A0TP7yzBp373L3VMewIa3cA0HUD09fZgqmutgD6O0JNWtH+HITFOwAsXGfVhs+8fgwdfVHh8xAEQRDEw8gmD0q5i89PSLiPaYG6CCruInapGyZ+MruOvVGEBgVvOsyOsVLWMXebbTof6W5Du0C1chHEV1NIrKWZsanT/baodq3e2UB9z5mHqql47avPC5+HIIjm4qyqCII4hBSzbCe2yAKsmiNkj1nq3OG1pjlnwwkAAz72oLpWNxAna8ZDyZ2tNBYSrFXSeKANRxxix1jXDUxfY5MxPe1BdLXJJXuc3s4huZ5hxo6c6hcarOaSeWwu7DBj7//xK1AdVnxKEARBtBa5NFvcpWqqUNVbi3KXA4q7yrxyl9dZKsAA0EE27wSAS8s72Mmxf/tT4U6MBCJNWtHjMz+9jUqJ/UyemeiVLqlkmiYWrnIW70NiLd4BILWVQWqLVQJ++/deFDoHQRAEQTwqGc6W0WeTSr8Tlbvkj3qs8MVdhUqNGs4PKVfXEkgU2Aahc229aHf7mrSiJ2Pu9jb0GisEcXpMPtWuaU61yx+0R7ULABaus5aMZ944hmhX2Ja5CIJoHpR1JAjJKWRZ2z6RBVhW5S4nFnc56zYW0NyWbvv1dKFJqyGaRapYwc9nWYlcn6rh9Y5B6ZIZ+zE3vY1yke3yemZUrgAKABavsUGNL+DG4FhM6Bx3L7HKYME2P17/7XNC5yAIgiCIxyWXYveYXr9b6D6Dfy0nFHdVqnzySP74h4cv7koWSLnrsLGVLeLScpwZi7q8uNDe36QVPT61ah0zN1hLyb5YCD3twX2e0TziqymLEuLEsV7h8/CqXR19bXju9Snh8xAEQRDEo2CxZbRNuYtrPpdwf+6Mk9oHE9bYv5+JewVexOEiXarg4xW2QbnD7cOZiHxn+g+iUtYxN82qdo32tCEakqtAbWc5iQTXdD51esCWnGZ6J4vUFjvXm18ne3eCaEWcVRVBEIeQQoYt7hJry+hE5S62Gl+1Qb7Ubvo59a71jNUyh2hddMPAD26vWixU3uwYcowdY7WiW5Ixve1B9MXkslCpVXSsTLNFdGNHe6Cq4u4blWIVS7fWmLG3f+9F+Gw69CIIgiCIR4Uv7vL4xH438cpdZMt4MHRwHdWJQhkmdd0fGmp1Az+cXmMUI1QAn+kagVvgHtduZm9tWZrNnpsQb3MogoWrbLNIKOJDV59YhbRaVcfKNKuK/ObXXyAlYIIgCKIpmKaJbOJgirt45S6RriV24cS9t0/V4FLYfQXZux8uDNPED2fWLeIJb8aGoSnO2nPO3Nh0hmrXrxeYsUDQg9HJLlvmm+eUhtt7ItQoQhAtirPu2ARxCOGLu8TaMvLKXfIHTxblLtV5vTMDXrYAZjNTJBnkQ8SvF7Yt0scnwx0Yd4gdIwDM3LAmY85Oiu9ef1pWbm+grt8P9BQFwmWP568tw6jfn0Nza3jvjy4KnYMgCIIgngRLcZdf7F5f5ZW7HLCftdoyOq+4q5NT7tINE7kydd0fFn45t4ks9/c+F+1Ft1cua/QHUSnrmL3NdtoPdUXQGZHv31DIlLA+x6obTBwXbx25Mr0OfU/xqaIqeONrpARMEARBNIdCtsR8LwE22jLW5HcWcXHF1nvPGp2Coijo4uKIFXITOVRcXo1jO8fmGp8Nd6HHK59y7oMo5CqYn2b356M9bWgLyqXalVhLI8mrdj07aEvzRrVcw/LtdWbsza+dh+bShM9FEETzoeIugpAc3pZRpHKXRfZYwuCJx6Lc5cBOVl65q1o3EM+Xm7Qa4iBZSuRwfS3JjMXcPrzSPtCkFT0+pULVIns80t2GDsmSMaZpYuEaq6jVNxyDPyiu07Cu1zF3dZkZu/D5ZxHrEdvJTxAEQRBPQj7NqsN6/fYqd5mGKXWBl2GYqHGJGCfaMgY0F3wqe0ibKFAscRhYTORwezPNjPV4A3i+TU7Fq/2YvbVl6bR/dlzOf8P8lRXslUlzuVQMT3QKn2fhOqsOdvbN4+joiwqfhyAIgiAehfR2zjLmtau4i28+98i3P+eLu3TdkDru2Y9hH3teuZrK7/NIotWI58v4eJktiGpzefFim3Ns3Xe5dXmdUQ1XFQXPTcjXdH7nw0Xm2h/0YMSGOAIAlm6toa7fv5eqmoq3f+9FW+YiCKL5OK8qgiAOEYZhoJhjD+o9tip3yRc88dTrnHKXA20Zgy43oi42IN4ga8aWp1Cp4cczbAeFpih4t2sELgdZqNy+ugFjz+dQUeS0UEmspZFLsh1o41Ni17kyvYFKscqMff5PXxU6B0EQBEE8Kfz3oEdwcRev3AWAKYKQjQqn2gU4U7lLURR0cF33vCos0XoUKjX8hIslXIqKz3SONP4sSkqlrFs67cd6o2gPydVpD9zrgF+6wf7OR492C086pzYzSG9nmTFKxhAEQRDNJB1ni7vcXrctZ/CmaVoUwlwS7s/dvPqN6Uz1riFfmLlOlarIV0gBuNWpGwZ+NLOGvYY4CoB3Opxl6w4AqXgBq4spZmxqMIaw4LOOpyW5kcHOMtvgf/SZfluEKkzTxPw1tvn83DsnEOttEz4XQRByIN9OiSCITynlK5YuEJEFWDWHKXeZpmmxL9Q05xxk76XfF0I6fz8Js54u4NnBjiauiLAT0zTxozvrKHMHFq+0D1iSczKTTZewNJdgxo70xxCxqXvvaVi4xna/hyI+dPWJU9QyTRN3Ly0yY6cuTGLkePM7nqLRKH7xi19YxgiCIIjDRS7FKXcJVAAGrMpdwD11LFlt0/l9GCB//LMfHW4f1sr3O+2TpNzV0himiR9Mr1new6/GBtDmlm8f/iDmbm9D32ubDuCZUbG26aJYusFaJUK5Z8komvnrK8x1Z38Uz756VPg8jwrFEgRBEERmhy3u8gXt2W/whV0A4PbIZyPmblCQoesGXG751vogujwBeFUNFeP+730llcfx3vYmroqwm4+Wd5Aoss1AZyI96HWYHaNpmrjxCevS4XapeGZMvljizocLzLXX78bopD3r3F5OIM+d/bz7hxdsmetRoXiCIOzFmSeZBHFIKGRKljG3wKSM05S76oZVCsCJtowAMOAL4Vb+fpHMRqYIwzQd1XVNPDpXVhNYS7PqGWOBNpwMO6ug79blddaWRFNxWsIAqlyoYH2WVQQYn+qBIvDztbUURzbBypd/7k/kUO1yuVw4fvx4s5dBEARBNJlsilfuElzc1Ui4S2J7El65y+3RoEpaiPYwSLnrcPHR4o5F6XnMH8HxUKxJK3oyqhXdau/e04Y2mxLGT4NRN+5ZMu5hYCSGYFiswlitomPlzgYz9ubvvNDUcw6KJQiCIAheucsXtEcVp9aguMsloS1jw+KuWh0QHF/ZjaooGPSFMVdMfzq2mi5QcVcLs54p4Moq26jd4fbhhTb5bAwfxtZaFvEt9iz+mdFueN1y3TPS2zlsLbC/86On+m1zIJq7yqp2DUx248SL47bM9ahQPEEQ9uLMqgiCOCQUsmxxl6IoQjtCrMpdcgckdcMqd+xc5S62M6JaN5DIU8d9K7KVLeKjRTaJEdLceKtjSGixkd0ktvPYWMkwY8eHOuGX8L6xdHMd5p5iUE1TMTzZJXSOu58sMtcDE9149rXmddgTBEEQBE8+zRaDiLZlbKTcZTZoxpCFCtfY4pG8seVB8MVdmVIVtbrzrGGIh7OczOPySpwZC2luvNU57KhYAgDmpneg19j3qYyNIgCwdncbpTxbNHnkZJ/weZan11Hfk9hWNRVvfO288HkIgiAI4nFI77AFFLYpd1UbKXfJt0dXVcXS2MLvaZzCsI91NVhJFyxOKURrUK7p+MGdtb192lCh4J2OEWiKs0oDDMOq2hX0uXFMQiccXrXL43Vh7Kg9MU8xW8LGPJt3evcPLzguTiQI4vFw1h2cIA4ZvHKX2+cS9sVc1w0Yhn2Wj3bQSLlLc6hyV8jlQZuLDYzXuW5swvlU9Dp+MN3A075rBD5N7s/bXkzTxM1LbADldWs4MdLZpBXtj2mYWLzOrnVwvENoAjcTz2F7me3Aef9PXoGqOvN+RBAEQbQmOU65yyu4uKuR4qzRoBlDFsqccpfX55y9GE/MbVUPShVJvavVyFdq+NEddl+rAniva9RRsQRwTzV87jan2tXdhragWCUsEZimidlLbAd8rDuEWFdY+DwLnCXj2beOI9YjzkqeIAiCIJ6E9E6WufYF7Cnu4pW7XG6tYQNJs1EUxaLepevWwjQnMORj9zMVvY71TGGfRxNOxTRN/OjuOgqcuMMLbb3o9ASatKonZ3kugVyGFUZ4brxHutxgNpHHBucmcuRkn20WrvPXVhiXFX/Qi1e/fNaWuQiCkAe57nwEQTAUuGIfj0CFnBqX3AAcUNzVoBtdtg3c4zDAqXdtUCDVUpimiR9NryFXrjHjz7f1YMAXatKqnozN1QwS2+z785mxbnhc9gQmT8PmQhylHJvcHJ/qETrH7OUl5joSC1LgRBAEQUiFaZpW5S6B9u6AA5W7aq2j3OVWVUS5RpE4qQC3FHXDxPdvraLMvW9fbu9HLxdHOoHZ29uoceocz0iq2hVfSSGzzdpRHTnZL3ye5GYGmR12nrd/70Xh8xAEQRDE45Lmvp+8Nil38XsDGS0Zd3Fp7BmoU5W7wi4POrhGkRsbqSathrCL6xtJLCVZBb5BXxhnI2LPyA8CvVbH7SusjXl7yIex3mhzFvQAZj5cZK7dHg3jx+z5ndd1A4s3VpmxV796Fv6QfJb3BEGIxblVEQRxCCjk2AN6t8CEDB88AQ4o7mqQLFIdassIAP1cgc9GpgiTZJBbhssrCUsQ1ecN4nzUWZ72pmHi5uV1Zizoc+PoQKxJK3owC9dYdYNoRxDtneKK6SqlKpZvs7+Pd/7FS8IT5gRBEATxNJTyFdR1NuEg+rtKc1mPE+o1eTvYeYt3V4P1O4kuL2vNuJklFeBW4oP5LWzlWCXvsUAbno2ItRo/CKoVHbO3tpix4a4I2kPyqXYBwJ2PFpnrYNiL/qF24fPMXWEbRroG23H6lSPC5yEIgiCIxyUTZ88z/XbZMnLN526vfE2ku7i52EGXOO55GCdCrBPDYiKHfKW2z6MJp7GTL+GDBVYx16+68E7HiCPt+mZvb6Nc4prnj/RJ92/Jp4pYnWFjnonjvbZZza7d3USlVGXGPvP7L9syF0EQciF3JQdBHHIstowCi6/44i7NpUKVXAWLL+5SVEW6TdzjwKs3VXQD27kyeiL+fZ5BOIX1dAEfLVqDqHe7RhpaGMnM0lwCuTQnezzRA01CC8JcsoDtJdYuUXR3zMK1FRh7VAQ1t4Z3fv8loXM8Lbqu4+7du8zYkSNH4HLRto8gCOKwUMiWLGPCi7s0FYoC7O1NaNRAIgt8E4WMli+PQ683iLuF9KfXmxnr35xwJrPbGdxYTzJjEZcHb3UMOTL+vXtry6JucXpcTtWA1GYG8RVWveLIqX7h94tysYK1u5vM2Dv/4iUpbN4pliAIgiAsyl0Bsfbuu1hsGSVW7uJtGWsOVe4CgKlgDB+k16Gb9/4NJoDbmymcH5FTVZV4dGp1A9+fXoPBxb5vd4wgqDmvMblcquHuDbZgqj8WQl9MPleUmY8WGYtEl0vF5Ik+2+bjG0VOvDSBwSNyxFgUTxCEvdAniSAkJs/ZMnp99gRSTkHlDlRNw4Rpmo484AaAkMuDqMuLtH7fQm4pkaPiLodTrOr4wfTa3r08FACf6RpByOWsz3ClrOPmJVYJqz3kw1hPtDkLegjzV1aYa7dHw+BYh7DXN+oG5q4uM2Mvf+402rsjwuYQQTqdxsWLF5mxmZkZdHZ27vMMgiAIotXgm0SgiE+WKIoCl1tjCrr0qtX6XRYMvlHEoTHELn1e1povW66iWNURkDgpRjycVLGCn8ywKrEaFHy2axQ+zXl/20q5hrnbO8zYaE+btKpdMx+xSRKv342RCfFqaQvXV2HU79+T3B4X3vjaeeHzPAkUSxAEQRxu9FoduVSBGfMdkC2jXQo3InC5OFtGXd6mlofhVTUcDbTjVuF+g+ztrTTODnVBc3gDzGHnZ3MbyJRZNafnwt0Y8ct1dv2oTF/bgM4pkp+ZlM8VpZApYWWabdwYP9YLj01OSamtDJKbGWbs3T+QR7WL4gmCsJfmt4QRBLEv+TRb3CXSlpEvlOKTHTLiaqAsxtvNOI2xQBtzvZDI7fNIwgkYpokfTq+iyCU2X4j2YsgfbtKqnpxbl9dRrbCHFWcne6VMhlbLNSzf2mDGxo72WA5fnoa12S2UCxVm7P0/fkXY6xMEQRCEKHjlLo/Xbcv3t9vNfs/WZC7u4sIdPh5yGh0eP9wKGx+RNaOzqep1/NOtFejcm/W1jkF0eQNNWtXTMXNji4nZFQCnx+ToKOfJJvLYmGML0Y6c7GtoQfs0GHUD81zDyIUvPItILLjPMwiCIAji4MjErWfTB1Xc5bKpEEIEvHIXr0rqNE6F2SKLQlXHUpLyEk5mZjuNO9tswU+3J4CXovapR9lJLlPG4kycGRvviyIWlk8YYfaTJZh7YjhNUzF50kbVLi6WiPVEcO6dE7bNRxCEXFBxF0FITD7FK3cJLO7SGqtgyQwfRAGwVO47Db64K1WsIMN5ZRPO4ZOlHaxxRZnDvjCeb5MzgfEgkjsFLN5lA6jhrgj6O+QsUlu8vsYmjhQF48fF/t5nLy8y11PPj2L81KDQOQiCIAhCBFZ7d3ssGHg1MF1iW0bemsLpxV2qoqCXU+/azFBxl1MxTBM/mF5DqsjGgsdDMZwIi1OiPUjKxRrm77DFUmN9UbTZlCB+Wu5+zKp2uT0axqbEx3HrDRpG3vvGxX0eTRAEQRAHSzqeZ64VVRFu776LXnOOcpe1uEveuOdR6PIE0ONhmwdubKT2eTQhO+lSBT+dY5Wj3IqKdztHoSnOLAO4eWkNe0N4TVXw3Lh8ql2VYhVLN7mG86lu+Pz23Der5SpWptn53v69F6EJbHAnCEJunHlXJ4hDAm/LKFa5y/rx32sLICONlLucHkj1eAPwq2zgukjqXY5kJZXHJ8tsMVRQc+OdrhEpla4ehGGYuPJrtgPEpak4d1TOTh/DMLBwdZUZGxiNISAwcZTcTCO5wXY/vfeNC8JenyAIgiBEUuAUnDw+exIlvHKXXpFXuYtvZFEcXtwFAL0+trhrg4q7HMsv57awnGSTqZ0eP16LObeR4M6NTeaMQVHkVe0qZEpYnd5ixiaO91rucSLgO+2PnBnG2MkB4fMQBEEQxJOQ2WHPpX0Bj23nmrzqr8sjb3GCm1PydHrDOQCcCrHqXWuZAhKFcpNWQzwptbqBf5peRa3OviffjA2jzSVnU8XDiG/lsbHCnsMfH+pE0KZC06dh4foajDrbcH7kZL+N860y82luDW/97ou2zUcQhHxQcRdBSEyOUwDy+j3CXptX7gLAbApkRFMV8Kt2eiClKgrGAqzn+WID+WtCbvKVGn44vcaMKQDe6xqBX5O362w/Fu7sIJNkFT9Oj3Uj6BN3DxLJxlwcpTzb/T55Qmwh2uxltpM/1tuG8585JXQOgiAIghDFgSl3OcmWkbO6c1jtfUP6OeWueL6Mqu7s5pfDyI31JG6sJ5kxn6rhs12jcDVoynICxULVYqMy0deOsMAzDZHMXlpmCkA1l4qJ4+KVAdI7WcTXWFWM9/6IVLsIgiAIecgk2GJzb8C+4hD+XJ9XBZYJl8Y1tUisWPyoTAbb4VXZf9evl7abtBriSTBME9+/s4oEpwp7PBjDkWB7k1b1dJimiRufsE3cXreGk6NdTVrR/hh1A4vX2LUOjXfAH7Qn5jHqBuausDmKF997BtEuOZ1WCIKwB2eeEhHEIaGQtlO5q0FxlyF3oZSiKBb1rrrDi7sAqzXjZraIksSJMYKlbpj4we1VlDkVuZfb+9HnCzVpVU9OuVjDrSvrzFhb0IvjQ537PKP5LFxdYa5jXSHEusT97kv5MlZnWGnrd//wZUtCmyAIgiBkoZBli7vsslKxKHdJnORoNVtGAOjxBqHuaX8xAWxyf3tCbpaTefxilt1nqlDwfvcY2tzO7LQHgDvXNpmCSlVRcHqsu4kr2p9yoYKlG2z8M3qkG14b7ptzV1jVrmhXGC++Rw0jBEEQhDwUOCVYj03WYgBQ55oSZD5n45W7ag53EwEAl6LidIgtmFlK5rGeKTRpRcTj8qvFLSxx6r/tLh9ebXeu+u/aYgqpOHsfOj3WDY+EtoPrszsoF6rMmOiG872s3d20NLh/7k9esW0+giDkhIq7CEJiLMpdh9yWEQBcvARyzfnFXYO+MFx7vM9NwLIpJ+TlVwtbliTaqD+C5yLydZM8Ctc/WbV8rl6cGpA2AZqN5xFfTTNj48fEdtnPX1uBuSc55fG58dbvvCB0DoIgCIIQSf6glLs46xS9Jm+DAlfbJe3e5nFwqyp6vAFmbIOSMY4hWSjj+7dXwUfhb3UOod+BTSK75HMVLM2yql1HBtqlVQGevbTMWqmoCo6cEp+UqZSqWL7NFpG9/S9elFqlhCAIgjh88HGEXU0igLVpW3PLm67kC0v0FijuAoDnIt3wq+xe5IOFLYulPSEftzZTuLrGqv96VQ2f6xqDW5WvEOpRqNcN3LzM7pfDfg+ODnQ0aUUPZp5rOO/oDiPaEdzn0U+HaZq4e2mRGZt6fhQTp4dsmY8gCHmRd7dEEIecarmGWoVNjtiu3CW5LSMAuDXe3975gZRLVTHsZ6VTF+LZJq2GeBzubmdwnQuiwi4P3u4chuJAr5+djRxWF1ibkPHeKHra7QlKRDB/lZNp9rkxMBoT9vp1vY6Fa2yg9sqXzyAs8e+EIAiCIHhbRo/PnuIBiy1jRd69Oa/cpbRAcRcA9PnYPck6p7ZAyEmxquMfb6ygxsXg59p6MBUSt5dtBtNXN5hiSk1VcGpUTtWuSrGKBS6eGJ7oRCAoXjVt8cYqc+aiuTW883svCZ+HIAiCIJ6GPNds7rGxOLvO7YM0CZV5duFzEjWJFYsfB4+q4Xwb2yS7nS9jPpFr0oqIR2E1ncfP5jaYMRUK3u8cQ9Tta9Kqnp75Ozso5lklrLOTvVI2ZqW3c0iuZ5ix8WM9ts2XWE8jtcXmDN//Y1LtIojDCBV3EYSk5FLWjmuvQBlkVbNuiPYq08gKb8uot4AtIwCMc9aMy8k8CpVak1ZDPAqJfBn/PMN2kmhQ8NmuUfg053VfG3UDVz5kbUI8LhVnJ8WqYImkWq5h5TYbyI4e7YamidverNzZQKXEBpWf/cZFYa9PEARBEHbA2zLapdxltWWUV7nL4GIdJxbiN2KAU3jayZUsBUOEXOh1A9+9uYI8F+9NBqJ4ISrv3vtRyKZLWJlnm1+mBjsQsOke9LTMXV5mVEMUBZh6ZkD4PKZhYv4aG2u99NlnEO0K7/MMgiAIgmgOed6W8SCVu1zypivdFuWu1tlvnwh1os3FFrb/anELdQfkig4jqWIF37u9Cv7P80ZsCAM+5+4tqxUdd66xdvVdbQEMdUWatKIHw6t2+fxiG855eNWu7sEYzn/mpG3zEQQhL/LulgjikMN3yQBikzKNkhlOUO5yaWwgVW+RQGos0GaxZryzldn/CURTqdTq+N6tFehcFPV6xyC6OWscp3D31jbyGdaz/bmJXvglTcQAwPKtDUsyZmxKnCqAaZqYvbzEjJ18eQJDR52ddCMIgiBaH6tyl022jE4q7uKUu2Ts/n0Ser1B7P2XGCawlSX1LlkxTRM/nlnHdo79jPZ4A45V/93L7Sts44VbU3FyRE67+mq5hvkrrGrX0HgnQhHxagfr89soZsvM2Ht/dEH4PARBEATxtBxUHAFYm7ZlVu7ibRlrLWLLCACaouDlaD8zli3XcGsztc8ziGZRrun4zq0VVLk83tlIN46H5LQufFTuXN+0KOI9f6RPyvioWqphdXqLGRub6oGq2lNykU8XsT7HzvfeNy5AFdjgThCEc6BPPkFISiN/e5EbGUVRLAkNw5C/UKoVbRmBexLIR4JRZmx6M0X+9hJimiZ+eGcN2TLbaX8y3IHjYWcGUcV8BXeusYmYjrAfRwbktYQxTRML19hkTP9wTKiFSmIthcwOK0P+2X9JcscEQRCE/DRLuUtmexJ+X90qxV0eVUOXh20uIGtGOTFNEz+f28TcDmunEdbc+Fz3GFw2JQMOilSiiPXlNDN2fLgTPo+cqsZzl5eh703MKsDUafGqXQAwd4VtGBk7NYDJ54ZtmYsgCIIgngaLLaONTZ8W5S63vMVdbk5VrFart9S5/bi/DT1cTPHxyg4pAktE3TDxvduryJRZh4lxfxteauvf51nOoJCrYH56hxkb6W5DV5ucTfRLN9cZoQxFVTB21D4b+rkrS/fUIH6DP+jFG187b9t8BEHIjbNPjgiihclztox2dMlYirt0+QMSiy1jiyh3AcAJrrsiW65hLW215ySay8dLO1hO5pmxHk8Ar8bsSQTYjWmauPLrFdTr7Of/xWP9UCXsjNlleymJQppNXI8fF6uoxat2dQ/FcPaNY0LnIAiCIAg7IOUuKy2Ue7HAWzMuJXL7PJJoFqZp4mezm7i5zioguBUVn+8ZR0CTVy33Ubl9hbWs97g0HB/ubNJqHkytoltVu8Y6EG7zC58rvZ3FzgprVfneH12UUoWAIAiCIPiGc7edtox159oywrQWpzkZRVFwIcqebZdrddzYSO7zDOIgMU0TP5ldxzqn0Nzl9uOdjhHH7ytvXlqDscchRVUUnJmU0znDNEzMX2XjiMHRGHwBjy3z1So1LN5g53vzd84jEBavNkwQhDOQd7dEEIecRspdouFlO52g3GUp7mqhIKrHG0DMzW7Kbm+mm7MYoiFLiRw+WY4zY37Vhc92j0JTnPmVur6cxtYaqx5wdCCGjoicnTG78L72kagfnT1hYa9fyBSxxssd/xHJHRMEQRDyYxgG8pxyk13FXXwCRuYEB5+QkVll7HEZ8bN7oEShgmShvM+jiYPGNE38890N3NpgC7sUAO91jaLDI76g6KBJbOctMcXJkS6LhZEsLFxbRa3CFqPapdo18/ECcx3pCOHlz5+2ZS6CIAiCeFoKvHKXncVdnCOH3LaM1vPAVrJmBIB+XwijvggzdmU1QepdEvCrxW3MbGeYsaDmxue6xuFW5f3cPAo7mzmsLaWZsamhDoT99hRLPS2bC3GUcmysPX7MvkK0hRurjNqwoir47Dcu2jYfQRDyQxlKgpCUHB9I2bCZUXjlLgds1C22jC0URCmKghOcrd9CPIeSxAoIh4l0qYIfTq8xYwqA97pHEXLJGWw8jFq1jmsfsp0fPo8LZybk7IzZpZAuYmshwYxNHO8V2qV099IiI3fsC3rwxtfOCXt9giAIgrCLUr4C02Blqg6uuEvevbmXUxmrVlpnj93vCyHIKT/d5Q7/ieZgmCZ+MrOOaa5pRwHwma4RjAQiDZ/nNG5xql0+jwtTQ3Ja1tf1OuYuLzNj/SMxRKLim1sKmSJWZzaZsc9+46KtFlcEQRAE8aTotTpKhQozZlccYRiGRVmXVwWWCbdmXVsrNYvscr6tj7ku66Te1WyuriVwZY09B3cpKj7fNe7YnMQuhmHi6q/ZBm6PS8Mzo11NWtHDmb/CrjfaEUSsK7TPo58OwzAs9u7nP3MSXYMxW+YjCMIZUHEXQUhKjrdltOHwT+OKu2TutN/F1cDfvpWYCrZDw/2/i2GauLKaeMAziIOgVNXx3RsrqHIFkBfa+y02OE7i1uV1lEs1Zuz80T54JD5MAYA5LohyuzUMjYuzfKmWa1i8wRbyvfW7LyIQdr6qAkEQBNH65LkmEQDw+G0q7uKVgCWOJ/jirkoLFXcpioIjwSgzdnc7C7OVvSgdgGGa+PGdddzZYgvtVNxT7DoSbG/OwgSzs5FDfJO1rT812mVpzJKFpRvrqBTZGGjqmX5b5rp7aYn5HHoDHnzm91+yZS6CIAiCeFp49V/AvuKuRnkIVWJbRlVVLLkUvSZv7POkdHsDpN4lETPbGfxygXWWUAC81zmKLo/crhuPwtztbeQyrArWmYkeeN2uJq3owWQTeeyssGrMohvO97I+u41ilv39fP5PX7VlLoIgnIOcd0iCIJCJs4ej3qD4Kny31wUUqp9eV8u1BzxaDvwe9rZVLsq/5sfBp7lwJNSO6fz9jpib60k8O9iBgIdu2c2gUqvj768vIV2qMuNHglE8G5G3i+RhJOMFzN/ZYcb6YyGMdLc1aUWPRrVcw9LNDWZs5EiX0O6+xRurjPKIqql4/186R+44EongW9/6lmWMIAiCOBzwxV2qpthmccIXd+l6HaZp2na4+TT4uL10tdJaTSJHg+24kr2/t8tXatjMltDX5vxDfydimCZ+NL2G2R3WqlCFgve6RzEekHvP/aiYpombl1nVroDXjaP9cnaTG3UDdz9hu9+7+9vQ3im+YadarmLxBquS/ObXziNkg0KYSCiWIAiCOLzwloyAfcVdeoPiLpfEtozAPUWhvQ4brajcBdxT71os39/D7qp3nRkU11hLPJzlVB4/vrtmGX8zNoxRv/NjiVKxiumr7Bl/LOzH5ICccQQALFxl9/YerwuDo/apFd+9tMhcT5wewpEzI7bNJwqKJwjCXqhSgCAkJRPPMde+gFf4HF4uOHNEcRenYMarDrUC59p6cCef/NQRTjdMXF6J46LkVnmtSK1u4B9vLCPBSZJ3uH14s2NIysTlo2AYJq58wFqRaKqCF44NSP9vWrqxjvpexT4FmDzRt/8THpNGcscvfvYUOvudo6zg8XjwyiuvNHsZBEEQRJPgO+49Xo9t3++8LSNMwDRMKJp8+wlembSVbBkBoNPjR7vbi1Tt/r717naGiruaQN0w8cPpNczHrYVd73ePYrRFCrsAYGsti1ScVR1/ZqzbUvgpCyvTmyjl2Nju2OkBW+aau7JsaRj53J/Iv0enWIIgCOLwks+UmGuXW4Nq03d6I+UuzS3n/mEXN1/c1WKOIrvsqnftLfC6sprAqb6YtMqsrcZ2roTv3V6BwQkxvxztx/GQnNbnj8uNj9csRZ4vTPVDlTQ3UavoWL7N2q2PHu22nokIIrmRRnIjzYx97k9ekT53A1A8QRB2Q9/EBCEpvHKXLyi+uMvj5brXHVAoFeCLu4q1lrMbaXN7cTzEdijcWk8hX5H/79NK6IaB795cxlaOPdgIuzz4Qs843Krc3WQPYm56G5kU++86PdaNsF+8QqBIjLphsWQcGIkhEBJ3f1yf3UYxx8odv/8vKRghCIIgnEM+zX7H22XJCDQo7oK8Vu+8LWOrFXcpioKjnM3f/E4WdT4jQNhKrW7gn26tWAq7NCj4XPdYSxV2maaJW1dY1a6Q34PJPjmbIkzDxN2P2SaOju4wOnrCwueqVXXMXmbneun90+galFeJgCAIgiB4BWC7VLsAoN7A5s+uQjJRuLnYR2/R4i7gnnrXXnbVuwj7SZcq+Ieby9C5OO50uAtnwt1NWpVYdjZzWF1k7Q0n+9vRJXFj0vKtDUvD+fhUj23z8apdsd42vPDeM7bNRxCEc5B7t0QQh5j0Dqvc5Q2IL7qwKHc5oriLLUgzDLPlLFUA4PloL1Tcr8KvmyYuLcebuKLDRd0w8f1bq1jjDjWCmhtf7plAyCV3EdSDKOaruH2FlTyOBr04MSy/xeTa3W2U82yn/ZGT/ULnmL28yFxPPusMuWOCIAiC2OUgkzKN1Hn2KtXIhNfF2zK2VnEXABzhirvKeh2rqfw+jyZEU6rq+Pa1RSwl2d+5pij4XM8YRgKtZUWxvpxGJmltGFFVObvJ12e3kU+x98ep0/22dL/PX1uxKKN/6d++IXwegiAIghAJr9zltrO4i4sZNJcqvSKNm7ONbFVbRuC+etderqwmUGtQlEeIo1jV8fc3llHmPh9HAu14JSq/48ajYBgmrv6abd72uDSckdi1xjRMzF9l19w/LLbhfC+FbAlrd7eYsff+6AJcbueKDRAEIQ4q7iIICdFrdeRSrLXBQSh3VUpV4XOIxu+xBpXlovzrflwiLg9OhFmJ3enNFHLl1vu3yoZhmvjRnTVLUsanavhSzwTa3PZs2g8C0zRx9cMVi6LGi8cGpE3C7GKaJmY/sXbax7pCwuZIbmaQWE8zY+//Mal2EQRBEM7iQIu7HKzcpdcMGC2WnGhze9HjZbud725nmrSaw0WmVMXfXFnANqcA61IUfL57HMP+1irsMgyralck4MVYb7Q5C3oIpmnizoeLzFhbLICegajwuep6HXc/WWDGnn/7BEaOibOSJwiCIAg7qBTZhkq3x7XPI58eg1MlUlT5U5VerrirUm69ZpG9kHrXwVKu6fj2jSXkOPeWQV8Yb3cMt0RhFwDM3d5GLsPGTGcmeuCz8X7ztGzMx1HgFNInjtmo2vXJAuNW5PW78dbvvmDbfARBOAv5d0wEcQjJJguWMV/AhuIuH9e9XpZfuUtVFctGr+QAxbEn4fm2bmh71LsME/iE1LtsxTRN/HRmA3M7rI2KR1HxpZ4JxDy+Jq1MDBsrGWyusgm+I/0xdEeDTVrRo7O1mEBmhy24mzwpNkHCq3bFeiIkd0wQBEE4jnyGlLsawRd3AUC1BbvteWvGxUSOOuxtZitbxN9cWUCWi6e9qoYv9kxgyC/e9q/ZLNzZQT7DJoCfG++BKmnSaWsxgWycjSWmTtujfrBwYxUVrgHtK3/2lvB5CIIgCEI0fJOGnQVXCvjvYPmtxHlHkVZsON/LfupdVUnjPSdT0ev49o1lJLkCyy63H+93jkFTWiOVXypWMX2VdRSJhX2YHJDbunz2Ettw3hYLoLPXnuadSrGKxRurzNibv/MCQhJbVhIEcbC0xjcCQbQYmThryagoCjx+8UkZr9d5toxAo0DKGet+XEIuD05FOpmxO5tpZBygsOZETNPEz2Y3Mb2VZsZdioov9Eygy+vsDXStVsfVD1n5YJ/bhTOT8koe72KaJu78mu1+D0V86B9q3+cZj08pX8bqzCYz9q5D5Y4Nw0A8Hmf+MwxK6hIEQRwWeOUuO+1UFEWxqH/Kq9xl7QRuRWvGyWCUSZXphonFRG7fxxNPx2Iih29fW0K5xia5wpobv917BP0+cSqzslAp67htScr4MdwtpzrZfrHEwLD4JJJRNzDzMTvXMxePYPLZIeFz2QXFEgRBEIcXvknDVpV/OevBH0iAi6tKLZqT2Mv5aCP1rlSTVtOaVPQ6/v7GEuIFVs0qonnwhe4JeFTnnU3vx81P1qBz5wUvTA1I2yACAMmNDJLrXLP8yT7blNRmrywxZyqaS8Xn//RVW+ayC4onCMJe5NU5JIhDTHqHPXz3Bjy2bBYsyl2OKe5yI7nH7qKVA6mzbd24mUtAN+9tfkwAv17YwrsnnHM47ATqhokf31nDLKfYpULB57rH0OeTX9nqYdy+smEphDx3tK+hioVsxFdTSG2yf5up0wNQBB4yzV9dhrlHEt7jc+Ot33Gm3HEymcTRo0eZsZmZGXR2du7zDIIgCKKV4FWAvX6PrfNpLhXGHgUsWZW7VFWB26WituegtBWLuwKaG0P+MJZL92PKu9sZHOlua+KqWpOb60n8fHbTojPR6fHjC93jCLrsK6xsJtNXN1DjVO/OH7UvwfG07CwnrbHEM/1CY4ldlm6vo8RZczpNtYtiCYIgiMNLvc4rd9n33W7R7ZJfuAsB7+Er7ur2BDDqb8Ni6X5xy5W1BE71tcPjkv9MWXaqeh3/cHMZ23l2/xjS3PhyzyQCWuvEE/GtHFYW2MLAib52dEmuSDV7aZm59gU8GBzrsGUuvapj7go738UvnkFnv7gG94OA4gmCsBdS7iIICUlzBSbegD0JGa/XastoGvJHUnwg1arKXcC95MwzYXbTMx/PYSlJ3feiqNUNfPfmsqWwSwHw2e7RlrBRySSLmJ/eZsb6YiGM9jgjyXfn14vMdSDkxdC4uCCqrtcxf41VNXv1K2cRbnd+UR9BEARx+MgmWOsxu2KJXTQXe6xgSKrcBVjVuyrl1ivuAqzWjCvJPErV1vy3NgPDNPGr+S38rEFh17AvjK/2TrZsYVc2XcLCzA4zNtLdJq3Nu2mamOZUuwIhL4YmxCcWDMPAnY/mmbGpc6M4/sKY8LkIgiAIwg54BV57lbu413ZAdZe1uKsK0wHrflpeaGNdHyp6Hdc3kk1aTetQqxv4x1sr2MqVmPGg5sZXuo8g4vI2aWXiqesGLn/AFi15XKr0jiKFTAnrs2xOZfJEL1SbLGsXbqyiVmFznV/8N6/bMhdBEM6FirsIQkLi62nm2h/y2TKPp4FFS7Uif6GUnytKK7W4v/3Ztm74OPndn93dRK0ub+LMKZRrOr59bQkrKVbhQoWCz3SNYCzgjOKnB2GaJq78eoU5I1FVBS9M9UvbXb+XxHoa8VW2q+foM/1Cg6jl2+uoltl732e/cVHY6xMEQRDEQXLgyl0a+52s1+Tdo/KKpdWKnCpjT8tYoA2uPfs8E8Ddncz+TyAemXKtju/cWMaV1YTlZ8dCMXyuZ7ylrFP2Ypomrn+0ysQVmqrgrMRJmfhq2mKjMnV6wJaEzNrMJgqcLe5X/uwtR8RcBEEQBAFYFXgVmwoY7r04e+mEGim+uMuomy0bT+ylyxPAmJ89I7+6lqTcxFOg1w1859YyNrLs3jGguvDl7km0uVunsAsAbl1ZRz5bYcaeHe+B3yO3udjc5RXs7eZxuVSMHum2ZS6jbuDuJ2xTyvNvn8DgkR5b5iMIwrlQcRdBSEh8Lc1cByJ+W+bxeK2bJydYMx4m5S4A8GkuXGjvZ8bylRo+XtrZ5xnEo5Cv1PB3VxexzXXHuBQVn+8Zw5Ggs+Ru92PxbgLJHTbJe2qkC5GAM4LEmQ8XmWtfwI2RyS5hr2+aJmYvLzFjp189SoETQRAE4VgKGfaA2GNzcZfKFXcZEh/y+9yHo0nEo2oY5RIwV1YSKNVIvetpSOTL+OvL85bGEAA419aDtzqGoLVwIc/GSgbbG6yC9InhToRsvsc8DTMfLTLX/qAHIzaodpmmiekPWdWusVMDePbVo/s8gyAIgiDkg9/H26nc5cQdE99wDgDlFo0neBqpd93aTO3zaOJB6HUD3729gjUubverLny5ZxLtbnuEHppFfCuP2Vus+lVHxI+jA/ZYG4qiWq5h+eY6MzZ6tLthTlUEy9PrKOXZArgv/ds3bJmLIAhnQ8VdBCEh8XV2Yxy0qbhL01S4+O51BxZ3lRyw5qflWCiGfi9rdXFtNYE458dOPBqpYgV/e2UBKS4A96oavtw7gWF/pEkrE0ulXMPNS2vMWNjvwakRccVRdpLezmJrkVVFOHqy36IQ8jRsLycs9lXv/0tS7SIIgiCciWEYqHB7Y7fbXhUha2JG3rb7CGdRmc+07l76VJg9LC9WdfzkzvqhsI6xg9ntDP7mygKynNqrCuDNjiG82N7X0gpNdd3A9Y9XmbGA14WTEscVqa0sdpZZy6Cjp/otBakiWJ/btsQUXyXVLoIgCMJh8Aq8ygHaMjphj6qpqkVpqNTiTee7dHoCGPWx5+VX1xKoG/I29shIvlLD315fxEqabRbxqRq+3D2JmNuePGCz0Gt1XPol21Stqgounhi01/ZVAEs31qHX9ijzKcDEcXsUi03TxMzHrGrXsXNjOHpmxJb5CIJwNlTcRRASclDKXYBVvYtPBsmInyvuqpZ1qRUCRKAoCt7oGIIK1l7lp3c3YDgg+JWJzWwRf3dlEfkKq1wQ0tz4rd4j6OWK6JzMjU/WUKuy8uAvTIktjrKTO5xql8frwuhRsdLHvGpX/3gXTlOHPUEQBOFQGjVqaDYXd/GJGYlruyzKpTnOGqKV6PeFMOwPM2NLyTxublCH/eNgmCY+mN/CD6bXoBvsm9uvuvDl3kmcCMvddS6Cuze3UMyzjTFnJ/vgdslrQcmrdnl9bltsVEzTxPSv55ixwSM9eP6dE8LnIgiCIAg7MersGSIpd1nh8xKHpbgLAM62sS4HhaqOmW2yfn9UNjJFfPPKPHa4Zn2vouFL3ZPo8LRWYRcA3Ly8jkKOjbmfG+9BW1BudTKjbmDuygozNjASQzBsz7rX57aRS7IFf6TaRRDEfjgju0sQhwijbiCxmWbGAhH7NjteH1vcVS3LLyXMK3cBQNkBRWlPS7vHh+fb2MPo7VwJN9eT+zyD2IthmvhkeQd/d2URZZ09rIi6vPitviOIeeQOLB6HxE4ey3Pse2Okuw39HeF9niEX2UQeG7Os9eiRk30WtcGnIZcqYHOBneOz37gIVaXtEUEQBOFMGtmCuDz22AbswidmJK7tQluQLe7KZ8uOUAl4EhRFwVsdw/Cr7N//g/ktJAutq1gmklJNxz9cX8bV1YTlZz2eAH6n/yj6faEmrOxgKeYruHNjkxnrjgYx2tO2zzOaT6NYYvJkLzSX+H3+1lIc6e0sM/aVf/cmxRQEQRCE49D1g1TuYi+dsie3OIocEltGAOjzhtDvZfe+l9cS1Hj+CNzaTOFbNxZRqrE5CY+i4ovdE+jyBJq0MvvY2cxhfprdj3e1BXB8WLxFumjWZrZQ5iwSj5zst2Uu0zQx8xFr7z401YvnXp+yZT6CIJwPnTQQhGSkd3Koc4FUIGyjcpePU8FyQLeJx6VC44LLQv5wBFJn23rQ5mKTUr9e2Ea2dDj+/U9KvlzDt68t4aPFHUvCsdvjx2/1HUHY5Wn4XCdimiauf8Taprg1FeeO9jVpRY/PnV8vMtdut4bxYz2NH/yEzF9dZq6DET9e/erzQucgCIIgiIOk0qi4y27lLgfBK3cZdRPFQuvuo4MuN97qHGbG6oaJH9xeg97iysdPy2amiP93aQFrnGUKAJwIdeCrfZMItVD88CCuf7wGo34/ilIAnD8qtw3l3Y9ZdV63W8P4lNhYYpfpX7PJmN6RDrz0udO2zEUQBEEQdmJYirvsSx9a9hEOqQ8Kco3yZQfkUkRyNsLupzKlKhYSuSatRn7qhomfzm7gn2c3wIkAo83lxW/3TqGnhVxEdmlkx6ipCi6cGIQqcQwB3MurzF5icwYd3WHEuuxp6omvpZDcZBXwvvRv3pA61iIIorlQcRdBSEaK6/hUVAXegH2Hxl4vr9wlf0CiKIrVUiV9OLrPXaqKNzoGmTHdMPGTmXXHdDgdNHM7WfzlpTlsZIqWnw36Qvhy7yT8mr2KFgfN6kIKqTj77z093tNQ9U5GcskC1ma2mLGJE71wC1Qe0as6Fm+uMWNvfv08fDbebwmCIAjCbspFzmZQAVS77Zgt0l3y7kl9HhfcnHJPPtPaccRoIILTYbY7Olms4IOFrX2ecbgxTBOfLO3g764uIl9hY2MVCt7oGMSbnUPQlMNxnLa9kcX6cpoZOzoYQ8zGBrSnpZApYXWafX+PHxcbS+yys5pEYp21Ov3Sv30DmsR2lQRBEASxH3X94GwZnYrFlrGFG0UaMewLo9PN7gMvrcQpL9GAYlXHt28s4eZmyvKzYV8YX+s9ipi7dVxE9nLjkzWLpfuZiV5LTk9G4ispZHbyzNiRk/Y1zN/hVLu6Btvx8uepUYQgiP05HKdRBOEgkltscZc/6LW1SptX7qo4RAGKt1TJtXhSZi+D/jBOhjuYsfVMEbc2rIHCYaZWN/CTmXV8//YqqnznGYDzbT34Ys8EPGprHbzruoGbl9iipUjAg6nBWJNW9Pjc+fUCc+1ya5g8ITaIWr69Dr2qf3qtKAo+8wcvC52DIAiCIA4afi/vcrts7/jkX1/mc/2GTSLZyj6Pbh0uxPrRwSUObq6nsEhd9gz5Sg1/f20JHy1Z1X4Dmgtf7Z3EybD8NiKiqNcNXPuQVQP2ujU8O26PApYoZi8tMwlGTVMxeaLXlrmmP5xjrjv62vDql8/aMhdBEARB2A3vJmKnLWOjEMUJBUJBiy2j/I3yIlEUxaLeFS+UsdpA7fYws5rO4/9dncdG1tpsfibcjc93TcCntlaz+S7b61kszMSZse5oAMeGOvZ5hlzwql2hiA99Q+22zJXezmJrkf1dfeFfvUaNIgRBPBAq7iIIyUhtsRKcvpC91fsW5a6SMwKStiD7ezlMxV0AcKG9HyGNDSZ/RfaMn7KZKeKbl+YxvZm2/CysufGV3km80N4nvQzwkzB7a8tysHB2sg+ajVLqIsklC1jlVbuO98LjFRfwmqaJOc6S8cybx9A95JwCOIIgCIJoRLnAF3fRoSBPG1fc1erKXQCgKSre7RqFi9v7/uTOOgoVZ8R/drOYyOGbn8xjvYHab783iN/pm0Kvr/UsUx7E9LUNS5z93EQvvG55E1HlQgVLN9aZsdGj3fD6xCsYpzYz2F5KMGNf/DdvwGWDQhhBEARBHAR1zrbbXuWuRtVdNk4nCN4V4bDZMgLARCCKNhcbU11aje/z6MNFrW7gn2c38O0by8hXdOZnmqLgMx0juNA+0JI5CQCoVfexYzw+6AibwWwij61Fdn8/eaLXtkLXmY/ZBvdwexCv//Y5W+YiCKJ1cEamlyAOEbwtoz9or1Spx+fM4q7oIVbuAgCPquHNziFmrFY38K1rS8gc4gKvUk3HT2bW8bdXFxv+HiYDUfxu/xT6ffZ4pDebUrGKmRtsYVRvexCDneEmrejxufPhInOY43KJ77SPryaRTbDyyu/94QWhcxAEQRBEMygXm1/cJXvHfYSPI7KHI46IeXy4GBtgxsp6HT+6c7jt3XXDwM9nN/Hdmysoc1ZECoAXor34cu8kgi5n2JuLIrlTsMQVsbAPk/32dK2LYu7yCow9iWlFVXDklD02KtOchUpbZwhvfv28LXMRBEEQxEHA2zIqNjaKOlW5K8AVjNdqddSq9X0e3ZqoioIzkW5mbD1TxFLycKsCb2SL+MvLc7jVwIYxpLnxWz1HcTTY2o3F1z9etTSdP3+kD2EH2DECVjcRj9eF4ckuW+bKJvNYmdlgxj77Ly/C6/fYMh9BEK0DFXcRhGQkN9niLruVuzxct0ml7IziLt6WsVyqoVrV93l0azLsj+BEiA0I8pUa/u7qIpKF1reX2Ytpmri9kcL/+WiuoVqXS1Hxducw3u0agVdr3U7qW5fXGQl1BcC5I32O6IwBgEw8j9XpTWZs/Hiv8E77uSusalffWCdOXZwUOgdBEARBNAOLLeMBKMg4ZJvxKVblrsOzbz4Z6sB4oI0ZW0sXcHnlcHbax/Ml/M3lRdxYT1p+FvqN2u/5aG/LdtbvR1038MkvFpmGC1VR8PLxQal/F9VyDQvXWBvJ4YlOBGxomMsm8lifZYvfPvcnr8Jjg0IYQRAEQbQijYu7Dn4dj0vQ57asPZsuNWcxTeRYMIYg5yrys7lN6Jz622Ggbhj4YGELf3ttEdkGubUBbwhf751CtyfQhNUdHFtrGSzNsqpXve1BHB1wRkFbajOLtZltZmxsqgcumywSb/9qlom3fEEP3v2Dl22ZiyCI1oKKuwhCMpKcLaM/ZG9Vu9ei3OUM1aew32sJpA6behcAXIwNIOZmCwCLVR3furaIeP5wBJbxfBl/e3UR/3x3AxXd2inV7fHjd/uncCwUc0yR05OQShSxPMcmpib629Ee9jdpRY/P7V/OMdcut4YjJ8V22hdzJazPsYHau39wAapDbCsJgiAI4kGUuQJ/zaaDSBZ2fyV7UiYSsDaJHJZue0VR8GbHkCUR8+HiDn4+u4m6IfkfTxC1uoEP5rfw/y4tIFGwxpDjgbaWVvt9GLeurCOfZe8lp8e6EZM8rli4ugqd+ywfPdVvy1x3ONWuYMSPd/7FS7bMRRAEQRAHheXc1MaNfaMzWicod2mqirYgexafTlptvVsdTVHxUht7Zpur1A6dPWM8X8Y3ryzgylrC8jOXouK19kF8uXsSAa21GwCqVR2XPmCbqV2aipcdYsdomiZu/nyWGXN7xOcldsnEc1i9wza4f/YbFxGKtnYBIEEQYqBMJkFIhsWW8YCVu/RqnbExkBVVVRDxc5Yq6cNX3OVRNXyldxKdHvagvVyr41tXl7CZbd3gsqLX8cu5Tfy/S/PYyloL2dyKiovt/fjtvqOIup0h/fukmKaJ6x+xXepuTcVz4z1NWtHjk1zPYHOePQA4crJPuGrX/LUV5rDIG/Dgtd86K3QOgiAIgmgWFltGj/3FXdazWrmTMuGA51A3ifg0Fz7TOWwZv7GexLeuLSJfcYaS85OykszjLz+ew9XVhOWdqikKXo8N4rNdo/C1sNrvg4hv5TF7i22E6Ij4cXLEHjsSUdQqOmYvsQmlgdEYwm3iC9IKmSJWplkLlfe+cQGBsL1nNwRBEARhN6p6cE0bDYu7HNJoEOPyNZnk4Wiw5pkKxtDnDTJjl1cTSJdaXxm5otfxi/lNfPPKPJJF67+31xPE7/YewzPhLkcUNz0t1z9aRZm3Y5zsRcghFoPbiwnEV1k7zanTA/B47YkJb33AFpIFwj58/l+9ZstcBEG0HofztIogJCa1xdsyHqxyFwBUSjXbFcNE0Bb0IrNn83yYkjJ78WsufKVnAn+/PY/Nyv1irmrdwN9fW8L7p4YxEA0+4BWchWGauLWRwsdLOyjXGqssTASieCXWj5DLGQHE07K+nEZiO8+MnRrtgt/rjK4g0zRx65dsUOPxujApuDumrtexcH2FGXvtq88jILkKweMSDofxP//n/7SMEQRBEK2PxZbxQJS7OCTPyWiqirDfi+yeOCKbLiHW1Tr75Ycx4A/jxWgvfp1mu4W3siV889I8Xp3sw0RXpEmrs4eKXscvZjcxs51p+POY24d3u0bQ4WmtfeHjoNfquPSLRWZMVRVcPDFoSfbKxvzVFdQqOjM29cyALXPd+XjB0izy2W9ctGWuZkCxBEEQxOFFsRR32ajc1WBv4QTlLgD3XBI2059eH0blLuBegd7r7UP4v5vTn4aAhmniB3fW8OVnRuHWWk9bxDRN3N3J4JcLWyg1yEuoUPBitA/PhbultjMXycZqxuIm0hsL4YhD7BhNw8TNX7BuIv6gBxPHem2ZL7WVaWjvHmprHdUuiicIwl6ouIsgJKJcrKKYYwuUbFfu8lhvA9VS1THFXdi5f31Yi7sAwKu58MWeCfzj9gLWyveLfHTDxD/eWMa7JwYxEnP2Bso0TSyn8vjV/BZSxcb2oW0uD17rGMSwv7WSUQ+iXjdw45M1Zizoc+P4UGeTVvT47CwnEV9NM2NTpwfgdotNSK/ObKJaYruIWtHL3uv14itf+Uqzl0EQBEE0gTLXNawJ/i5tBN+J7ISkTDTIF3cdvjjiXLQXAc2NnyZXUd/zNyvX6vj+7VXM7oTxykQvgg5pFngQq6k8fjKzjjxX/APcS8Cci/bgbFs3NKX1ElCPw9UPV1HIs3HWmfEei/WQbNSqVtWuvuF2RDvEF2yWCxUs3WRjr7d/70WE21unOJRiCYIgiMOLpeDKVuUu65gT4ggAiHFqnbl0GUbdgNqCxUwPo8Pjx7PhblzJ3Vd+3cmX8aOZNbx7zBmWfI9KolDGz+Y2sbGPU0qH24d3OkYtDiutTLWi4wpnx+jWVFw4PuCYv/3K9CaycbZp/sRzg9Bc9nyeedWuUDSA9//4FVvmahYUTxCEvVBxF0FIBG/JCAD+oL1FVoqqwON1obrnoLtadoYVB3/IfBhtGffiUTV8oXsc391ZxFLp/nupbpj47o0VjHVGcGaoA10OVClK5Mv4YH4Lq+lCw59rUPB8tAdnIt1wqYcrkJ67vY0il4R5frIPmkMOFEzTxK0G3THjU+ItJeeussHmyZcnMHjEOdaVBEEQBPEweCuTRh3xojG4OZ2Q1IiGfFjeub9fTicOZ7f9iXAHujx+fHdnEVmd3U8uxHNYSxdwdqgTk91tCDmwyCueL+GTpTgWErmGP+/zBvFmxxDaPXIXLx0Eq4spLM8lmLGutgCODcvfMLJwdRW1Mlu4d/zZQVvmmru6DKNufHrtcmv4/J+ShQpBEATRGvBKQ6aN1V3OtmVkz9YNw0QuU0ZbrHWUdx6H8229WChlkNHvN8/MJ3L4aHkHL4x0N3FlYqjodXy0vIMb68mGnwgNCs5EenCurefQNYtc+2gVZa6R+vmjfQj6nOGmUtfruP0Bm5eItAcwPGGPJX1iPYXNhR1m7Iv/+nWydycI4rGg4i6CkIjUFmsR4fK44GqgrCUaS3FXySnFXWzhW7FQhV6rw3UACgWy4lJVvN89iu/vLGGueP/9ZAKYj2cxH89iMBrEmaFO9EcD0ndQ5MpVfLIcx53N9L7HCeOBNrzc3o+oW361OdFUSjXcuc7a6XS3BTDc7RzlsvXZbaS32YTb8WfFd8ckN9NIbbL32Pf+8ILQOQiCIAii2WicDaNZtz9BsrfQAXBGcVdnhE3IpJNFGIYpvfWcHXR5A/h631H8KLGChSK7V6rqBn61sI1fLWyjN+LHZFcbxjrD0qt57eRK+GR5B4uJfMOfexQVF2IDOBGKSR8PHQTFfLVhx/3FE4PS28notfqBqXbpNR3zXLPIq185i1iPc2IvgiAIgngQB2rL2Ki4yyHKXR63hqDPjcKeBvl0snRoi7s8qobPd43jm5szqJr3rQo/WYkj6vfiaHdbE1f35NQNAzc2Uri0EkdZt1owAsCIL4JX2wfRdgjzEuvLaazMs3aM/R0hTPa1N2lFj8/8lVWUcqz6+annh2xrkuNVuyIdIbz7R5SfIAji8aDiLoKQiOQmq9x1UNaIXp8b+ex91auKQ4q7IgHr7yeXraC943AGUrtoiop3u0bxo/gy7hRSlp+vpgtYTRfQFfbhzFAnRjvC0h3aZ0pVXF6JY2Yrjf2atro8flyMDWDAFzrYxUnErasb0GtsQvX5o32OSVIZhoHbv5xnxkIRH4YnxXfHzF1hEzEdfW04+9Zx4fMQBEEQRDPhmxwMw9jnkeKoO7C4qyPCxgt13UAufXgTMj7Nhfe7RjFbTONniTWUDKt94Wa2hM1sCT+f20RfWwCTXREMtAcR9nqgSVIUt50r4eOlHSwnGxd1AcCgL4S3OocRdjmjm9xuTMPExz9fRK3GJqxemOpHuEG8LRsL11YtzWnHbFLtWry5ZlE5//yfvmrLXARBEATRDA7UlrHB/tEpyl0AEAv7meKuTLIIoKN5C2oy7W4fPts5im/vzDFvm5/cXUfE50ZvxDlxlmmauLuTwYdLO8hVGufJwpoHr7YPYizgzMK1p6VS1nHlV1xziEvFSw6y4qyWa5j5aJEZ6+yNoGcgast8/3/2/jNKkuy6D33/Eem9Ke+9bVft3fT0WIyH9wABkAMShiQogiToRPGK1L2iKD1R5FuS3pNfT9I3UoLgzdieae+7vPc+s9L7zIj3oae76kRU9UxPV0Sk2b+FWTO5KwPndHWZOHH22Xt9YQNrc2yl5I994wmYrbQuJYQ8HEruIiSPSNsyWuzqlOM0mtgfBelEeod35he9jofdYkR0y3wjoUTJJ3cBd8toP13eCLfBhBuhNWRE+cbeeiSJXwwtwG4yoL3SifYKF8psJk1vwMOJNK7PrWNsNbTj8wObzoCTnhp02jwFs1hQQiiQwMy4j4m1VrtRXkCL5fnhFUQDbBuk3kMNu141IxVPY2FsmYk988WTsuomhBBCSKGT/m6TtkxUgrRy125X31SC2aiXrSM2fPGSTe4C7lZP6LB5UG924J2NRYxvc0jknuVQHMuhu/dwHACH2QiX5e4/7vf+7bQYYTcZFE/8SmSyWAjEMLYawnxg56QuE6/DMXc19jnKS3oNITV8exn+Nfbz1lzlQku1W5sJPYRcNoeJ6+ymUnW9Gx4FqnYJgoDx6zNM7NCTPahrpxbvhBBCioesLaOClbS2O2hcIIW7AABehxnzW9u8BxIaziY/NFjuVrE6F1i4H8uJIn42PI9PHWiBI89b9YmiiPlgDJdmVuGPpbZ9jw4cDjmrcMhZBT2f/+tepdy5Mo+UpC360c5a2Mz5XeF5q7GrM8ik2D/D3iONiqwVRVHE0IVxJuapcuKZL57Y9bEIIcWPkrsIySMbkraMZps6J2WNZvZHQaFU7gIAl9XEJncFkw94d2nhOA5H3tvAGIj4cTu8vu0p/Ggqg1vzftya98NtMaKtwon2Shc8Kp7UDifTuPE+7Rf1HI9Drkr0OSthKOHF0z2DNxaZE3Q6nkNfW7V2E3pIuayAkUvTTMxdZkNdk3fXx5run4ewpS2V3qDDU585uuvjEEIIIVrTSSt35dSo3MXevekKoHIXcLc149Z1RMAXQ0tnuYYzyg8WnR4fqWjCHkcZRiJ+TMVDSG9zUOQeEXfv5cPJNOYl+WAcAJvJAKfZAIfZ+N6/DXC+lwxmNuge+uG5IIpYjyQwtxHFfCCGtciDN9JMvA59zkrsd5bDyFNi/1ariyFZi3eb2YDj3XUFkQA307+EVJw9mNZ9oE6RsZbGVxEPs19rL736uCJjEUIIIVrhJPfxSiZbbXerUWiVu7YKbcQhimJB3EMpaZ+jAoFMEv3RzQPJiUwOPxmaxyf2N8OYhwdtRVHEUiiOa/PrWArFd3xfi8WF0+66kmzBuNXibAALM+zCr67cgdYCOBxyTzycxNStBSZW1+yFt1yZDjFrc374FtnP2ce/9RSMpsJJhiOE5A9K7iIkj4R87IlZ1ZK7jOyPAmnGej5z201Y9Efuvw7RKRkZk06Pw+4qHHBWYCS6gZvhNYSz21dnCybSuD7nw/U5H8psJrRXutBZ6YJNgRvNTE7AjD+C0dUgFgOxHZO6dByHPfYyHHJVwaanG14A8K1GsbrIVvrb01RRUKdj5gaXkIiwyZi9Bxt2/SFILivIWjKefPkAnGXF287T5/Ohs7OTiY2NjaG8nDasCSGk2OklVbPU2CCRtn7kC6ByF3C3NePMlsM1AV9Mw9nknzqzHXVmO54QBcwlIpiIBTEdD21bEXgnIu4eJImmMsA2GyUGHf9eopfhbrUv891qXzlRRCYnIJMVkBEEpLM5ZHICYuksFgMxJLM5+WASZl6Hg65K7HVQUtd24rE0rr07w8Q4DjiztyEvN92kctkcxq/NMrHKWhe8FY5dH0sURYxJqna17a9Hz7GWXR8rH9BaghBCSpe0kr6Slbu2bctYQKW7PHY2uSubERCLpmF3lHbiDwA85qlHKJvCXHJzz2YjnsIvRxfxTFcdTHlyr5nJCRhfD6F/aQMb8e0rdQFAjcmGU+46VJt2vzpsoUklM7h1eZ6JGfU6nCiQwyH3DF+cZA7CcRyHPYcaFRlLFEUMSqp2ldd58OSni/fgOa0nCFEWJXcRkkeiQfaBt8miTqlag0ma3FU4lbukC6nQBiV37UTP89jrLEevowyTsSBuhNfgS+/8+fLHUvBPr+HK9BoavHZ0VbnRXGaH7hGqZomiiOVQHGOrIUz6wsg8oJqEnuOx11GGPmclJXVtIYri3apdW5iNevQ2VWg0o4eXy+YwKulpX1bpQFWda9fHmh9dQlKyQH/hq4/t+jiEEEJIPpC3ZVSjcpckuauAKndtFQ4lkc3koDfkx2ZDvtBxPFqsLrRYXcgKAuYSYUzEg5hPRJAU3j/J6kEyOQH+WBL+2O5VX7bwevS5KrHXUUZJXTsQcgKuvD2NdIr9+zvUXo0KV2FsWs0NLiMpaZfTc6BekbF8iwEEJFXWX3r18YLawCKEEEI+CNnvNiWTu7Zry1hAlbusJj1MBh1Smc37qdBGnJK7cLfl5kfKW/APK2MIZDfv8+cCUfz/royhs9KN/bVeVbuGbBVJZjC4soGhlSBSDzg04jWYcdJdiyazk+773nP78jzSsnaMNbAWUAWq0HoE88Ns9eKWrkrYnWZFxluZXkdghV1LfPI3n5LtyRJCyAdFPz0IySORAHta3GhR56bIYGQfehdS5S6vg73pSiYySCUyMKn0uStEPMehw+5Bu80NXzqBiXgQ47EgIjtU8xIBzG1EMbcRhUnPo73She4qN8rt5vdd2AiiiGA8DV80CV80gWl/BJHkg5MH9RyHvY5yHHRVwqqjv0ep5fkQNtbZnxX7mythKJCNVOBuC5VklN2M6T1Yv+sLZVEUMXZthh3nRBta9ijTroUQQgjRmjQxSekNElEUmdbHQOG0ZfQ6LOC4LXtWIhDciKO8avcr/xQLPc+j1eZGq80NAEjmsghmUwhlUghmUght+e8HtXLc9XlxPOrNdjRZneiyeWCgpK4HGrixKKtU11DhRE9DYZykFnICxiRVuypqnChT6Ht37BrbSr6y3otjH9mryFiEEEKIlqTVtJQupMVxHFOtSyig5C6O4+B1WLC8sdmJJbSRQF2TR8NZ5Q8Tr8NLFa34+9VR5kBIVhAxtBLA0EoA9W4b9tV60eixg1c4eSqezmI+GMW0P4IZf2THDiIAYNcZcMxVgy6bV/F5FZLF2QAWZ4NMrL7ciZYCascIAIPvTjCv9Xoe3QodEhFFEUMX2fGqGstw5uOHFRmPEFIaKLmLkDwirdxlNKtTuUvWljFZOMldDqsJOp5DbsviLxhIoIqSu94Xx3GoMFlRYbLihLsGq+k4JmJBjMcCiOe2/xpIZQUMLgUwuBQAzwFWowF2kx42kwE2491/63gOG7EUfNEENmIpZD/gwtzA8eh1lOEgVeraUS4nYOA6W7XLZjagva5wHhxkUlmMXmE3SCpqnKio2f2qXSszPkQ22Ha3L7/6+K6PQwghhOQLnSS5S3hAldTdsN0GTKG0ZdTreHjsZmxsaRO9sU7JXQ/DrNOjWqfftkVJMpdFOJu+/08km7r735m7r4UHbqm8P4/BhEaLE00WJ2pMNugfobpwKVmcDWByeJ2J2S1GnOrZ/YMWSpkbXpa1d+/er8zhjbA/ipVp9vP1wq8+JquSSAghhBQDaVtGpbO7mIMWKoy327wOM5PcFdyQtyEvZS6DCS+Ut+IH6xPIbfN3uxCMYSEYg91kQLPXjgq7BeU2Mzzv7fc8imxOwHI4jvlgDAuBKPwPaLt4f756E/Y7KtBrK6O1hUQqmd2hHWNtwawhAGBt1o+12Q0m1rGvFmaF9hJXptcRXAszsU995xmqFk4IeSSU3EVIHpFW7lKr+lQhV+7iOQ4euxm+8GZ7wdBGHFW1Tg1nVXg4jkO1yYZqkw2nPLVYTkYxGgtgIhZEZodT94IIRFMZRFMZAB++HWaD2YEuuwetVjcMtHB6oMnhNcQi7GL0YFv1I7XKVNvEjTmkE2z1tt6+BkXGGr/OJpHVtVfiwOOdO7ybEEIIKXzytozKbpBslzxWKJW7AKDcaWWSuwL+2APeTR6GWaeHWadHpckq+5ggiojmMghlUghnUwhl0verfsVzWeh5HkaOh4HnYeB0MPI8DBwPA6+D12hGo9kBp4Fa3jysaDiJGxfYilc8z+HsvkYYC2SDQcgJGLsyw8TKqhwor1Zm/T9+gx3L5rLgiU8fVWQsQgghRGvyyl0KJ3fx3N0HzO8ppMpdAOCxs23eg/44RFEsqGQXpdWa7fhMVReuhVcwGQ9ue7wjmspgYDkAIAAA0HEcymwmlNstKLeZYDMZYDXoYTHoYDHood+y3swJIiKpNIKJNEKJu/8OxlNYjSaYYgAP0mh2YL+jAo3UfnFHd67I2zEe66qFpYDaMYqCiIF32CpaZosBHb01yownihi5MsXEalrKcfrlPkXGI4SUDkruIiRPpJN32wluZbRoVLkr9eC2efnG67BIkrs+fKIRuZswV2dxoM7iwGPeOkzFQxiJbmAxGX3/iz8gj8GEbrsXnTYP7Hp1vs4LXTKRwWg/2w++wmVFc9XuV7xSSjKWwsSNOSZW0+BRpIVKYDWE9Xn2JM7Lrz4OvoAS4QghhJCHpZdUzRIEZSt35XKFW7kLAMqcFmBLUdTAOiV3qYHnODj1Rjj1RgBUKU0NuayAy29PI5thfyYc7ayF12HZ4ar8szC6inhYUrXrQJ0iG3HJWApzw0tM7NkvnoDZSutXQgghxYmDuoktPM8ht+W10i3ld1uZk72HSiWzSMTSsNrpEMJWZUYLnitvQTSbxkDUh8Goj2nVKJUTRaxFk1iLJrf9uEHHw2LQgQOHSCqND/NlY+B4dNu82OeogMdgfvj/gxKyNBfEwkyAiTVUOAtqTwK4W/037GP3t3oONihWRcu3sIGN5SAT+9g3ngRfQIfhCCH5iZK7CMkT0qpdAGA0q1W5i/1RkMsKEHJCwdxoeCQPo6kE8u4x8jp0273otnsRzqQwEt3ASCyASDb9UP8/Np0BFUYLyo0WNFtdqDRa6CTMQxq6ubTNZkxNQX0eRy5NI5fZsnjngD2HlanaNSap2uWucOD0KwcVGYsQQgjJF9K2jEpvkGxXuatQ1hDA3cpdWyXiGSTjGZithXMCmZAP4vaVeYQD7CGolmo3OmoLp727IAiy9u7eCjsqFWjvDgBTt+eYn3F6gw4f+fIpRcYihBBCStHdA5ibzwmVbim/2xwWI4x6HdLZzT/DxnqMkrt2YNcbccJdiyPOaozHA+iPrmM9/fCH9DM5AZkP8bVi5HjUmR1oNDvRYfPAxBdG5VotpVNZ3N6mHePxrsJqx5jN5DB8ka2i5XRb0NxeodiY0qpd5XUenP4o7U0QQh4dJXcRkieiQUlCEgcYVSprajDJb2QzqSxMBXIi1WtnT1dEwylkMznqXb3LnAYTjnlqcNRdjXgui2gujVg2g2gug2g2g1gug2g2jYwowG0wodxoQYXRinKjBRYd/bp5FAF/HLMTfibWVuNBmVPe5iZfRQNxzA6wJ9+b2ivgdO/+nyEWimNxbJWJPfeV0zCY6OuQEEJIcZPe/wrbVNbaTbkCb8votJlg0PHM5kDAH0ON1a3dpAjZZXOTftlawmUz4Xi3MhWvlLIwsopYkN0AVKpqVzaTw+RttuLw6Y8ehKdSmfaPhBBCSCnidezv8EJL7uI4DhUuKxb9kfuxDV8c9S1eDWeV//Q8jx57GXrsZVhPxzGbCMOXTmAtHUck93AHyh+EA1BptKLB7ESjxYFKow26Arr3zQf91xaRlHQbOtpZU1DtGAFg8uY8ktEUE9t7pFHWina3bKyEsDbHrr9e+fWztF9JCNkVtMtJSJ6IBNjkLqPJoNjNhZS0chdwt01koSR3ue1mcBwgbtm7CgUSKKu0azepIsZxHGx6A2x6A0AHkRQniiLuXGFPyOh1PPraqjSa0YczdH4C4pZvUl7HobdPmapdEzdnmbFMViOe+cJxRcYihBBC8ok8uWvndhe7YbsNGLXWMLuB5zh4nRasbqmi7FuNoqbBrd2kCNlF4WACty7L1xJn9zXCUECJmIIgYPSypDJvmQ1VdW5FxpsZmEc6yW5kvfRrZxQZixBCCMkbksQXUeEuiXcrd23aruV7vit3WZjkroCP2rw/jAqjFRXGzYO/yVwW65kE1tNxrKfjCGZSSAhZJHJZCNj568PM6+HWm+A2mODWm+AxmFFrssNMB84/tNXFMOYm2QSl2jI7Wqrd2kzoQ0rF0xi/NsPEKmqciq0jAGD0Klu1y1VuxxOfOqLYeISQ0kK/2QjJE5Ege+NvtKiXWKXT8dDpeObkfSaVVW38R6XX8XDZzAhu6cMe8McpuYsUhcWZADbW2Z8P+5orYC2gEzIbyyEsTawzsfbeGlhsu/9zLp3MYHpggYk9+ZmjsLsKp8oZIYQQ8mFZJBVt0wrf0wuSto+8ji+oSkAAUOmyMcld68uRB7ybkMKRzQq4em4auSybhHmiuw4um3mHq/LT/PAKYiG2alfvwXpFft4IOQFjkg2gA493oqGzetfHIoQQQkqZtHKXKBRW5S5A3uY96I8jlxMKqppxPjHr9GjQOdBgdjBxURSRFnOI5+4meiWELHKiAKf+bjIXJXHtrkwmh5uX2Cq2Bh2PEwVW+RcARi5NIZtmD73tO9Kk2J8j7I9iaYLtKPLir56B0Vw4ezmEkPxGdxiE5Alp5S6Tyr/sDUb2lH8hJXcBQJnDwrwO+uM7vJOQwpHNChi4vsjE7BYjehrKNZrRwxNFEYPvTjAxo0mPzr21iow3fWceuczmgo3jObz4tccUGYsQQgjJN3ZJu+NcJidL7NhNojS5q4Cqdt1TW8YeCAkFErLWE4QUojtX5hEOJplYR6234E7bCzl51S5PuV2x0/azQ4tIRNnP28e/9ZQiYxFCCCGlTLp22K7le76TJncJgohQILHDu8mHxXEcTLz+bkUusx1tVjc6bV5Um2yU2KWAgeuLSMTYFpmH2qthMxdGp597IhsxzPQvMbHGtnK4y2yKjTl6ha3aZXNa8OwXTyo2HiGk9FByFyF5IhrQrnIXABhM7E1wJlVYGxplTja5i0ogk2IwPriKRJz9XjzcUV1Qp79Wp/3wLwaZWNf+OhhNu7/wzmUFTNyaZWInXtiHinrvro9FCCGE5COHW16pMp1Mb/PO3SFIerUUUkvGe8qdVll7urXlsEazIWR3zE9tYHaCbaPisZtxpLNGoxl9ePMjK4iH2WSrnj6FqnYJgqyNSvfRFnQfadn1sQghhJB8o3ZBHmlbRqEA2zIaDTq4rCYmFlinfQlSuNaWwpgZ8zGxKo8NHXWF93x98N0JiFueWfA6Dr2HGhQbLxqMY350mYk995VTsNhNO1xBCCEPr3B2hwkpctLKXUaLxpW7kgVWuUuS3BUNp5CRlFslpJDEY2mMD6wwsWqPDQ3lTo1m9PBEQcTgebZql9VmRGt3lSLjzY8uIRlLMbGXXj2ryFiEEEJIPrK5LLJYOqncoQ1pW8ZCTO7ieQ5VHrZ619oStWYkhSsSTuKWpI2KXsfjzN5G6AvokAiwfdUub4UdVXUuRcZbGJW3f/wEVe0ihBBCFKGTtGUUCrByFwCUu9gDNht06JwUqEw6hxsX2IPTeh2Pkz3KHKxQkm8hgJUpNkmtvbcGVptyiVZj16eZZDKT1Yjnv3JasfEIIaWpsJ7qEFLEIkFpW0Z1K3cZjdLKXYWV3OWxm8FLbjCDG9SakRSuweuLyG05scYBONJZW1ALqbnhZUT87AON3kMNilQeE0URY9dm2LGOt6JtX/2uj0UIIYTkK51eB5vk0EM6oVzlLnlbxsJ8xCBtzbi2FGYeyhJSKHI5AVffnkZW0o71eFctXApuZChlbnhZtapdoihiRNJGpW1/PfY91rHrYxFCCCFku8pdxZHcRZW7SKEauL4g6yJyqK0aDpW7DD0qURQx8A574Nxo0qNrX61iYyaiScwOLjCxpz9/HA6Pci0gCSGlqTCfvBJShCKytoxqV+5ik7vSBdaWUcfzcNvNTMy/FtVoNoQ8mpWFEBZmAkyso84Lj+RrPJ/lsjmMXGQ3R1weKxpayxUZb2lyDZEN9nv+pVcfV2QsQgghJJ/ZJa0ZqXLX+6v1ssldqWQW4UBih3cTkr/6ry4gJPnabavxoLXGo9GMPjwhJ2DsygwT81bYUVmrTNWu7dYTH//WUwV1uIYQQgh5FGr/zuOKpHJXheRwTSyaRipRWHsrhKwuhTEzzrZ1r/LY0FlfeO0YF0dXEVwNM7GevnrZHuhuGr8xw7SW1Rt0eOnXaG+CELL7lPtJRgh5KCnJiXq9gjca2zGa2PFSceVO+CulwmXFRmTzQfbSXBDd+2s0nBEhDy8Zz+D6ebb8sVHP40CrMq0MlTJ1awGJKNsicc/hRmVO2Qsihi6MM7G69kr0ne3a9bEKgc1mw1//9V/LYoQQQkqD3W3F6tzmQ1klNxZklbt0hZkE4bCaYLcYEd2yJltdisDltT7gKkLyy8JMANNjbOsRl82EY13KnVBX0tzQNlW7DipYtevyJBNr6KzGoad6dn2sfEdrCUIIIfcpXMhWxxdHcpfLboZexyO7Zf4bvhhqGtzaTYqQh5BJ53CzSNox5rI5DJ5n7+vtTjNauioVGzOVSGPqzjwTO/upI/BWORUbM5/ReoIQZVFyFyF5QtoGUadXt7Ce2cpWCkvGCi+5q6HCidGFzY2s0EYC0UgKdkfhtZ8gpUkURVw/P4O05OfBwfYamFVO+HwUyVgKo5enmVhFtRNVdcqcsp8dXkTYz56y/+RvPl2wraEelcViwde//nWtp0EIIUQjDo+0cpdy9/WCpHVhoT343arWa8fY4sb912vLYXTuLazkelK6opEUbl5kN2R0PIfH9zZCr0BLdKUJOQGj0qpdlXZU1iiznlid9SG4xp7u/9g3nyzJ9QStJQghhKhF1pZRKMy26DzHocxhwWpwszMLJXeRQtJ/bZt2jO2F144RACZvzCMRYQ+I7D3cqOh9/eStWeQyufuvOZ7DK79+VrHx8h2tJwhRVuk9pSAkT2XSbDIHr/IDWLPkRi0VS+3wzvxV5bbBZNAxsUVJaztC8tnE0BrWliNMrL7ciY7awmqjMvjuBLJbFjQAsOeIMlW7ctkchi5MMLHG7hqceGH/ro9FCCGEFAI12zLKK3cV7iOGGklrRv9qFNlsYVYPIKUllxVw5e0pZDPs1+vxrjq4C6it+1ZzQ8uyTZnevgbFEkhHLrPt5Kuby3HyRVpPEEIIKTEqn9OQVv0t1MpdAFDuYtdggfW4RjMh5OGsLoYwO8G2Y6z22NBZV3jtGJOxFMauzTCx8monahqV21vJprOYuDnHxE693IeqxjLFxiSElLbCffJKSJGRVe5SO7mrCCp38TyHxgr2JO/SLCV3kcIQ9McxeHOJiVlMepzsqSuoKhgbSyHMD68wscb2CnjL7Ttc8Wgmbs0hEWU3fr7wBy8U9OYyIYQQ8iikyV0ZBZO7pKfrOb5w7lmkqj12bL3lEgQR/tXozhcQkiduX5lHaCPBxFqr3WgrsAMi92xXtaus0oGKGmXamqzP++FfYp8bfPQ3nqD1BCGEEKIwWeWuAk7uqpAmd/ljsoMwhOSbTDqHmxfZxKRCbccIACOXppFNswfO9x1tUvTPMj2wgEyKfebysW88odh4hBBCTyoIyRNZaeUuvW6HdypDWrkrncwU5IKqqYpN7gpuJBCLFF4VMlJaspkcrr4zLVv0n+5tKKh2jKIg4s5bo0xMb9Bh7+EGRcZLJzMYvTLJxHpPtOHAmU5FxiOEEEIKgd2lYeWuAk7uMhp0KHeyn7u15fAO7yYkP8yM+2Qn7Z1WE4511Wo0o0c3O7gkq9rVc1CZDSZRFDF0ka0CXFbjwpmPHdz1sQghhJB8J/1dK0LZ5CRp5a5cAVfNLXdamNfZjIBwKLHDuwnJD4M3FmXtGA+3V8NegO0Yo8E4ZgfZg/ON7RXwlNkUG1PICRi/PsPEDj/di4bOasXGJIQQSu4iJE+kta7cZTHIYoVYvWvb1oxUvYvkuTtXFxANs0mIe5oqZO2B8t3s0BKCa2xbyZ6+elny6G4ZvTIlq3r4xT94oSBPFhFCCCG7Rc22jNLKXYWc3AXIWzOuLVFyF8lfAV8Mty/PMzG9jscT+xthUPmw2G7JZQWMXZ1hYmVVDlRUK1S1a2EDvkX2ecHHvvkU9AV0wIYQQgjZLXoje/8gKJxsZTSxv2+VrDisNIvJALuZ3V/xr8U0mg0h7299JYLpMR8Tq/bY0FGA7RiBu1W7th4+43Uc9hxU5sD5PfOjy7KOIh/9jbOKjkkIIZTcRUiekJbuVLsFgNGkl23GJGOFV/GK5zk0VLAPfhdng9pMhpAPYHE2IDttX+a0oK+1SqMZfTjpZAZD59kqWg6XBW09yvw54pEEJm7NMrETL+5H235lF22EEEJIvrO72FPjilbuEounLSMA1JaxyV3hYBKJeOEdeCHFL53K4sq5aVmC5cmeOrhsZo1m9ehmBhaRkFTe7u1TsGrXhXEmVlbjwhOfOrLrYxFCCCGFwGhkk5NyCnf1MEqSqZVct6ih0s1WCPKvUYt3kp+ymRxuXGCfq+t4DicKtB1jyBfFwsgKE2vrqYbFplwFMlEUMXZ9mol1HW5G56FmxcYkhBAAoKNohOQJaS9onV7d5C6O42CyGJDYUq2rECt3AUBTpQsTS5unb4P+OGKRFGwOk4azIkQuHk1v29f+sT0NBVf5YuTSFNIJ9iHM/uNN4HllfpYNXZhgWsfq9Dw+993nFBmr0Pj9fpw4cYKJXbp0CWVlZRrNiBBCiJosDjaxIyNp/64kUdnOLYorc1hh0PPIbKlSsDIfQktXhYazIoQliiJuXJhFPMqu17sbytBc5dZmUrsgk8pi9DK7QVJe5UBFjUuR8Zan1uBfCjKxj33zKRhMpf2olNYShBBSumSVu5RO7jJLk7vUW7coocJlxdRK8P5r/2oUoigWZLIMKW4DNxZla4mD7dVwFGA7RgAYvsAeONcbdOjcq2yb+tVZH8I+NoHz5V+nql0ArScIUVppP7EgJE+IoijbdFG7chcAmC1GJrkrVYCVuwCg2mOHyaBDKrOZMLc4G0Tn3sKqhESKm5ATcO3daWQkiZ3HumrhtBZWImLYF8X07UUmVtvoQVWtW5HxQr4IZofY8Z7+/HFUN5UrMl6hEUURfr9fFiOEEFIaZIdEFPwdYJBsAEnbJRcanudQV+bAzGrofmxpLkjJXSSvTI6sY3k+xMQqXFYcbq/RaEa7Y/z6rOywSO8hZaryCjkB/e+MMbGKeg9V7QKtJQghpJQZTJLKXSq3ZZTeBxQaaeWuRDyDaCQFh7Nwq6qS4rO+EsH0KNuOsdJtQ3d9YSbebCyHsDLF/nk69tTAJGmTutvGrrGHUmpbK3DoyW5FxywUtJ4gRFnUlpGQPCCt2gWoX7kLAMxW9oYnGS/M5K7tWjMuzQZ2eDch6hNFEdfPz8K/FmPizVUutFa7tZnUhySKIu68NcbcoPM6DvuONik25sC77EaM2WbEJ3/rGcXGI4QQQgqJ9GS4ks/QDJJWKtJW84WosYKtErS+EkG6wJPWSPHY8MUwcJ095GAy6HBmb2PBVf7dKhFNYfIGW9G4psGD8irnDlc8mumBBUQD7Frsc999vuSrdhFCCClt0oMbilfukiZ3FXhbRpfNBItkfbS2FNZoNoTI7dSO8VRPXcFWmJNW7TKa9Gjfo+yhl8BKCOvzG0zs5a8/rlgHE0II2Yp+0hCSBzJp+cJFq8pdWxVqW0bgbmvGrQL+OGLRwkxWI8VFFEX0X1vEwgybcGgzG3C8q/AWUksTa/AtsH+Wzr21sDmUOZW2vrCBlel1JvbSq4/DVWZXZDxCCCGk0EgfKCp5QlK+IVP4SVC1ZXYmSUYUgZWF0AOuIEQd6VQWV89NQxTY7+nTvQ2wKXwyXWkjl6bY6iAcsOewMlW7Mukshi9NMLGWvXU4+dJ+RcYjhBBCCoWscldOfiB9N0nXEkJOQDaj7JhK4jgONZLnk2tLEY1mQ4jcju0YC6yLyD3rcxtYn2f3Jbr218Fg0O1wxe4Yu85W7XJXOPDYRw8pOiYhhNxDyV2E5IHtToLrdMregGxHVrmrQNsyAndbMxr17OdwaTaozWQI2WJ8cBWTw2tMTK/jcXZfI4wKLzx2WzaTw8A5dmPEYjOic58yPe1FUcTAO6NMzFlmx8u/9rgi4xFCCCGFiOOllbvUS+7KZXKKt29RmkGvQ62X3ZRZmgtqMxlC3iOKIm5cmJVtxuxpqkBduUOjWe2OyEYMs4NLTKy5vRJOt1WR8cauTSMVZz+PX/6jl+ikPSGEkJInS7ZSvC2jPDm90Kt31XrZ+zLfSkTxCmiEfBDF1o5RFEUMSap2WaxGtHZVKTpuNBjHwvgKE3vhq49RBWBCiGroyQUheSCblid38Vq0ZSyiyl08z6Gxkm3hsEitGYnGZif9GLzBblxwHHB2XyPKnMpsXihp/NosEpEkE9t/tAl6vTJJaksTq9hYYStnfOq3n4HZVpiniwghhBAlyFqzKdiWUboBBBRJa0ZJFeC1pXBBVxEghW+0fwXL8+x9cIXLir5WZTcv1DD47gTzc0qn49FzsF6RsRLRJMavzzCxQ0/2oPd4myLjEUIIIYVEb5RX0lKSwagDJEuXdKKw1xLVkkMi2ayAjfXYDu8mRB3F2I5xYXQVgRW27Wl3Xx10Cu+rjt+YYdYuZpsRT3/huKJjEkLIVpTcRUgeyGxbuUuL5C72tEyqgJO7gG1aM/riiFNrRqKR5YUQbkoWUQBwqrcetWWFd9o+Fkpg/Br756mocaK2yavIeLmsgP53xphYdVMZnvrsMUXGI4QQQgqVmpW7DEZ5clehn7YHgPpyB7Y+487lRKwuhXe+gBAFLc8HMXxrmYmZDDqc2dsoT+YsMP7FIFam2AoC7XtqYLEad7ji0QxdnEAuu5moyfEcvvAHLygyFiGEEFJopJVncgond3EcB6NkPVHoB0UsRj28DjMTW12mdQTRVrG1Y8yksxh8h+0mYnOY0dReoei4qXgas4MLTOzpzx+HzWlRdFxCCNmKkrsIyQP5cgrcLHmAmoqnIQiFWzZ4u9aMM+N+jWZDStnachhX3pqCdG/1cEc1Wqs92kzqEQ2cG2dO8HEcsP9Ys2KnfabuzCEWijOxz/3e89AXWCtLQgghRGnSZA8Fc7vA8xwMkt/FxZDcZTLoUeW2MbFlas1INBAJJXHt3RkmxgF4bE8DbGZ5K6NCcrfl+jgTM5r06Nxbo8h4IV8EM5LNmCc/cxT1HYVf/YwQQgjZDbKW6yq0W5eOWeiVuwCgRtKacW0potFMCNmpHaO1YNsxAsDY5RkkY2wRh31HGxVvsz55e5b5uajT83jhq48pOiYhhEhRchchecAjaR8IAGF/VPV5WG1scpcoikhGC7d6F89zsupdU6PreZNMR0qDfz2KS29OQRDYndXexnL0Nip7mkQpqzN+LE+uM7HW7mq4PMq0lkwnMxi+NMnEOg424vjz+xQZjxBCCClkskRrJbO7ID/hn0nKqxIXosYKdh2xshBWvDUNIVtl0jlcenMS2Qz7dXewvbogK/9KLU+uy1qp9PTVb1sRcDcMvDvGtFAxWQz49HeeVWQsQgghpBCp3ZYR2Ca5qwgOitRKWjMG/XGkimSNRApLJr19O8aTPfUF244xshHDxM05JlZZ60JNg7IH6LOZLCZvseOeeqUPZTVuRcclhBApSu4iJA/Y3VZUNrCtzAKrIdXnYTTpZe0g45GE6vPYTT2N7AmETDqH2Qmq3kXU4V+L4sJrE7KTbm01Hhxqr9ZoVo8mlxVw561RJmYy69HTV6/YmCNXJmVl2X/lj18u2EUoIYQQoiROclpVybaMQHFuyABAQwV7ACeTyWF9Rf0DOKQ0iaKIq+9MIxpmT6Q3V7nQ21iu0ax2j5ATMPiutJWKCS2dlYqMtzbnx8o0ezjlpVcf3/agHSGEEFKqpIc2hJxAa4kPocJthU5STXmdWjMSlYmiiFuX5rZtx+gs0HaMoiii/+1xiFsO0XM8hwPHlesmcs/M4KLs59PLrz6u6JiEELIdSu4iJE+07WcTI7RI7uI4DlY7e2MXDydVn8ductnMqCtnTzVPDK8xN4CEKGF9JYLzr03ITto3VbpwoqeuYBOTJm/OIRZkkz73HG6UPYzZLbFQHJO32BNGx1/Yh46DTYqMRwghhBQ6XqdeW0agODdkAMBqNqDcaWFiS9Sakahk+NYyVhfZTUCvw1zQp+y3mh1Ykq8pDjWC1+3+Y0pREHHn7REm5iq345Wvn931sQghhJBCtl31TKWrdxVjW0Ydz6Paw1bvWqXWjERlc5MbWJgJMLFCb8e4MuXD2ixbuKG9txoOl2WHK3ZHLpvD2NUpJtZ3thuNXcq0kyeEkAeh5C5C8kTrXmlylzanOax2tjVjosCTuwBgj+RkczyaxtJ8UJvJkJKwuhTGhdflFbvqyhw4vacefIFuyCQiSYxemWFinnI7mtqVay85cH4MQm5zV1pn0OELv/eCYuMRQgghhU6a+KH4aXtjcbZlBIBGSYv35fkgHRIhilucDWC0f4WJmQw6nN3XBL0CyU9qy6azGLk8zcQ85TbUNXt3uOLRzAwuIORjN1Q//Z1nYbYVZsUCQgghRCl5kdxVJGuJGklrxrWlMK0jiGoioSRuX5lnYkY9j9O9DQV7UCSXzaH/3DgTM1sM6D6gXDeRe6buzCMRZSsqf/Q36KAIIUQbhf9UiJAi0bqvgXkd8kWQy+ZUn0exVe4CgEq3DV4Hm70/Priq+EYXKU3LCyFcemOSSUgCgPpyB87ua4SOL9xfvQPvTCCXYX8u9Z1QruzxxkoQC6PsxtZHvnQSVU2Fe8KIEEIIURovaQEChW95pe1biqVyFyBvzZhKZuFfj2k0G1IKwoEErp9nq9ZyHPD4vkbYLcYdriosY1dnkYqz7WH2Hm5UZE2RSWUxeIHdBGrorMaTnzm662MRQgghhc5gMshi0oOru81oZsdMxVM7vLOw1JaxyV3JRAYri+p3aiGlR8gJuPbujOx792RPfUGvJyZvzCMeYiv/7j3SCINBp+i42UwWo5KqXXtOtqHnWKui4xJCyE4Kd4eZkCLT3FvLPMwUBVF2ulQN8uSuxA7vLBwcx6FXUr0r4ItjgzZmyC5bnA3g8puTECQnsRornHh8XyN0BXzSfn0+gMWxVSbW3FkJT7l9hysejSiK6D83ysRsTgs+8e2nFBmPEEIIKRYcr3LlriJO7nJaTXBLqvtQa0ailGwmh8vnpmQbMUc6amStfQpVZCOGiRts8lp1vRsVNa4drng0w5cnZIlkX/7jl6DTK7sJRAghhBQiaaIVAMUPn1usbLJJMlocyV1Oqwleh5mJTY36NJoNKSVDt5YR9MeZWEedV1aVupDc7SbCVv71VtrR0Fq+wxW7Z+Km/GDKZ37nI4qPSwghOyncXWZCiozVYUZNiyQBaUX90xxWyeZFPFL4lbsAoKnSBZtkgTo+tLrDuwl5ePPTG7h6bhrS/dPmKhfO7C3sil1CTkD/W2yilcGow55DDTtc8eiWJtfgWwwwsY9/+yk4PDbFxiSEEEKKgdrFac0W9h47Gojv8M7CJH0IvrIQogrAZNeJoojr52cRDbEbmm01HnTVF0fVWlEUcev1EabCMcfdPXGvhLAvgombbCLZoSd7sP+xTkXGI4QQQgqd0Sxvyyit4L/bpMld0tZnhYrjONk93NpSGNEi6JJC8tfachjjg+yel8tqwpGOGo1mtDsG352QHYA5cLxF8RaT6WQGY9fYpLK+s93oOtys6LiEEPIg8rs1Qohm2vY3YGlq/f7rwGpY9TnYJJW7EpEkRFEs2F7c9/A8h+6GclwfX74fW54LIRpOwu40P+BKQt7f7IQfNy7MyuJtNR6c6KkDX+DfP9N3FhD2s5Xu9hxqgGmbE327QcgJGHiHTSarqPfguS+fUmS8YmOxWPC9731PFiOEEFIasuks85pXuHKo28smXkf8MeSyuaKpjFNf7sSd6bX7r2ORFKLhFBwuWkOQ3TPavyKrCud1mHG8q7bg1+L3zA0tw78YZGLtvTVwuq27PpYoirj55hDELRWV9QYdvvzHL+36WMWG1hKEEFK6eJ6HwahHZst6Qum2jBYbm9yVSWWRzeSgV7jVmhqaq9y4Pr6C9JbqZ1OjPuw/Wq/hrEixSiWzuP4uuz/Bcxwe29sAfQF3E/EvBbEwuk03kTLlD4CPX59GJsU+X/ns71LVrvdD6wlClEXJXYTkkda99Xjn+zfuvw6sql+5yyJJ7hJyIpKxtCxeiDpqPbgzvYrMlkXpxNAa+k4oc1KYlIbxwVUMXF+UxTvrvDhWBJsxyVgKwxfZvvIurxUtnVWKjTndP49okK368fnfex4GE922fBA2mw1/9Ed/pPU0CCGEaCQrOV2vdHKXy8smZoiiiLAvBk+1U9Fx1eJ1mGEx6ZHY8lB3eT5EyV1k1yzNBTF8a5mJGfX83eq/BbwRs1UqnsbAuXEmZrUZ0dOnzObm/OgyfAtsFeCXv34WNS0VioxXTGgtQQghpc1oMTDJXVmV2zICd1sz2j27n/ytNr2OR3utB0Nzm+0Y5yb86O2rKYrkNZI/RFHEzYuzSCYyTPxgezW8jsJNqhFyAu68KekmYlC2m8g9yXgK45IqwMdf2IeWPXWKj13oaD1BiLKK4ykRIUWidT/7YDO8EZWdvFea2WIAz7PJKPFwQtU5KMWg16Gj1svE5ib9SCXV/RyT4iCKIgauL26b2NXdUFYUiV3A3bLH2TT7IKfveAs4Xpk/WyaVwdClCSbWtr8eJ186oMh4hBBCSLGRJncpnRyiN+hklXCDa+pXIFYKx3GoL2MT1VYW1D+EQ4pTOJjA9XdnmBgH4MzeRjithX/A6p7+t8dkp977TrYosrGZSWXQ/za7CVRe58HHv/Xkro9FCCGEFBujpEp/TuHkLr1BB4ORvR9IRIundWFnHbsXkcnkMD8d2OHdhHw4M+M+LM+za9Qarx09DYXd3n382ixC61Em1nOwXrFuIluNXp1i2tJyPIfP/A5V7SKEaI+SuwjJI03dNezJelH9jRGO42CVtmYsol7w3Q3l2Jpvk8uJmB5b3/kCQrYhCCJuXpyT9bAHgD1NFTjSUVMUiV2+xQDmh1eYWGNbOcqqHIqNOXp1CmnJKaMv/eFLRfH5JIQQQtSQzUjbMir/O9QtaYkgfQBb6Oor2Hsf/3qUDoiQR5ZOZXHpzSlkJe2ODnVUo7ZMufttta3O+GWtVOpbylBd71FkvKGLE0jGU0zsq//4FZgs8soghBBCCGEZTdLkLmXbMgLy6l2JSGqHdxYeh9WEOsl93fToOkRR3OEKQh6ObyWCO1cWmJjJoMPp3vqCfp4e8kUxcnmaiTndFrR2K9dN5J54JImp2/NM7MzHDqGurVLxsQkh5P1QchchecRkMaKhg705CWhw6l2a3BUvouQum9mAlio3E5saWUcup/xClRSHXE7AlbenMDvhl33sUHs1DrVXF/TC6R4hJ+DOG+yJd71Bh72HlWtjGgvFMX6DLXd85Jle9BxrVWxMQgghpNhIK25yvPLLfrdXmtwVUXxMNVV77NBtrVoqAquLVL2LfHiCIOLquWnEJJuXrdVu9DSUazSr3ZfN5HD7jREmZjDqsP9YkyLjhdYjmLw1x8QOPtGNw0/3KjIeIYQQUmyMFnUrdwGAWZrcFS2e5C4A6Kpnq3eFAglsrMc0mg0pJuFgApfemoIgsMmCp3rrYTEpX91KKUJOwI1fDEHc8ufiOODQY23gVXi+MXJ5AsKW/UKdQYdP/fYzio9LCCEfBCV3EZJnWvexrRkDq+pvGlhtkuSuSPEkdwFATyP7sDyVzGJ+akOj2ZBCkknncOG1CVmZY44DTvXUY09ThUYz231TtxcQ9rMPGnoP1sseuOym/nOj7MJJz+MLf/CiYuMRQgghxUja1p1XuC0jALjKrMzrsC/KPIgtdHodjxqvnYlRa0byKAZvLGJtmU2CLHNacLy7rigOitwzenladlhs75FGmBWooiWKIm6+MchUwjAY9fjqP/5oUX1OCSGEECXJKndllE/ustjY+4JkEbVlBIDaMgfsknufiaE1jWZDikUykcHF1yeRkRzu6mkoQ325U6NZ7Y7x67MIrbFrpY69tfCW23e4YvdEgzHMDC4ysac+ewyVDd4driCEEHVRchcheUaW3LWiQXKXrHJXQvU5KMnrsKBasjkzPrRK5ZDJA6VTWbz7y3H4Vtk2Qzqew9l9TWirVaatiBaSsRRGLk4xMZfXitbuasXGXF/YwOIE267l2S+dRG1r8STMEUIIIWrISjZgVGnLKKnclcsKiAbjio+rJukD8tWlMJOUTsgHNTfll23oWYx6PLGvCXoVkjHVElqPYOI6W0WrrNKB5g5l2pnMDS3BvxRkYh/95hOoaipTZDxCCCGkGJlklbs0aMtYZJW7OI5DZx2bGLI0F5Q9Yybkg8pmcrj4xiTisTQTry934lBHjUaz2h1hXxQjl9h2jA63BT199TtcsbuGLk4wB9WMZgM+8e2nVBmbEEI+CL3WEyCEsKTJXdFgHLFwAjanRbU5WO3sgqqY2jLe09tYjpWNzQVUNJTC8nwItY1u7SZF8lYmncP51yYQ9LOblAYdjycPNKPKY9vhysI0+O6kbGO470QLeF6ZzWFRFNF/jm0BafdYqdzxhxQIBPDii2zFs5/85CfweIonAZEQQsjOpL/DdSoki5jMBpitRiTjmw+Xg2sROLzFc49UX+5gXmczAnyrUVTWFvapaKKujfUYbl5gE554jsPZ/Y2wmgu3dYqUKIi49doIc4CK4zkcPNWqSBWtVCKNO++w7R8rG7z46K8/setjFTtaSxBCSGkzmtVvy2iRdBEptuQuAGiv9WJgZh3pLZ/P/msLeOLFLqowSh6KKIi4+s6MbJ+izGnBmb0N4Av462m7dozggMOn21R5rhHyRTA/sszEPvLlU/BU0pr/YdB6ghBlUXIXIXmmqbsGdo8V0cDmzdnSxCo6DjWrNgdpW8ZENAVRFItqoVHrtcNtNyO4pczzaP8KahpcRfXnJI8ulxVw6c1J2YLJbNTj6b5meB3qJV6qYWM5hPlhdhHT1FGBskrHDlc8uoWxFVkL2s9851nYXdYdriAPksvlMDo6KosRQggpDbLKXbw6lYDcXitWtiR3hdYjaFCw6qfaLCYDypwW+LdUNV5ZDFFyF/nAwoEELrw+AUHSsvR4dy0qXMWTCAncbfEeWA0zsa59tXC6lVk7DbwzinQiw8S++mcflW1Qk/dHawlCCCltmiR3WYu7LSMAmAw6HGitxNWxzWeuQX8cc1MbaGqjKqPkgxFFEXeuLmBlgX2Objcb8OSB5oKvAjx+fQ5BSTvGzr218FYo344RAPrfYe+BLTYTPvobZ1UZu5jQeoIQZRX2T3pCipBOr8Php3qZ2PLUuqpzkPa5z2VyyKSyqs5BaRzHYW8T2+4t6I/DvxbTaEYkHwmCiCvnpmRlsi0mPZ473Fp0iV2iKKL/7TEmpjfosOdQg2Jj5rICBt5lx6xpKcdTnzuu2JiEEEJIMZO3ZVRn2e+SVOkKrRdfmxFp9a6VhfAO7ySEFYukcP61CWTS7PdnV30Z2mu9O1xVmKKBOIbOTzAxu9OMrn11ioznW9jAzOAiEzv2kb049GSPIuMRQgghxUye3KVCW0bJXkQqnlFlXLV11pXBaWUP1Q/dWJKt3wjZycTQGqZG2b1Co16Hp/paYDEWdi2Xu+0Yp5iYw21BzwF12jGuTK9jdcbHxF78tTNwFFnHFkJI4aPkLkLykPQhZHAtxLQzUJr0tAwAJCLFd2KmqdIFu2TBOjm8ptFsSL4RRRHXz8/INu1MBh2ePdgqW4wXg/mRFQRW2D9vz4E6mC3ynwm7ZfL2LOJbKmAAwBf+4EXoDTrFxiSEEEKKWTbDHsrgdOpUpXV72YqbobWIqmsYNdSVsVW6YpEUokXYwp7srmQ8g/O/HEdSUlmqtsyOIx01Gs1KGYIg4PrPB2UbsgdPtkCn3/1HkEJOwI3XB5mY2WbEV/7xK7s+FiGEEFIK8qFyFwAkY8XXmpHnOdm9XzKRwdjAqkYzIoVkYXoDA9fZAw08x+GJ/U1w2Qp7n0IQHtCOUYE1hGz8nIA759gW7+5KB15+9XHFxyaEkIdFyV2E5KFWyYnWTCorS35QEq/jYbawC7lEpDgXVF0N5UxsaT6IeLT4/qzk4YiiiNtX5rEwHWDiBj2PZw62FPyCaTvZdBZD78pP2Lf1KNdOKZ3MYOQyeyKn60gzjjzTu8MVhBBCCHk/0spAarVllFbuSiczSBbZfbXXYYZZciJ6dZGqd5GdZdI5nH99ArFomolXuKw4u68JPK9O8qVaxq/NyQ6LtHZXoaLGpch4Y9enEdlgq29/7nefR1mNW5HxCCGEkGInS+5SoaqUwaiTJXAkirA1IwDUlTtQW8a2mBsfXEU4oN7eDyk881MbuPrujCx+qrceVUVQWWr08rS8HeMe9doxTt6ek60pPv97L8BchHtAhJDCR8ldhOShsho37G725HtwTd1NA2k55GKs3AUA7bUethe5CFlpW1J6hm8tY3qULcOr4zk8daC56Fox3jN2dQbJGLvptO9ok6KtnEauTCKTYisYfPkPXwLHFdcmFyGEEKImaeUutdoy2hwmWeVN6QPaQsdxHOrK2NaMCzOBHd5NSp0giLjy9pRss85jN+OpA83sOrQIbNdKxe40Y++RRkXGiwRiGL40ycRa9tbhI18+qch4hBBCSCnQG9iDDIKgfCVejuNglexFxEPFuRcBAIfba7D10acgiLh+YVaVzzUpPDPjPlx7dwaQfHkcbKtGS7VbiyntKt9CAKNXZpiYw2VBT5867RgT0SSGLo4zsZa9dTjz8YOqjE8IIQ+ruJ4kEVIkOI5Dc28tE1M/uYvNSi/W0zJGvQ5tNR4mNjPup173JWx8cBWj/StMjOc4nN3fhEp34Z+E2U4sGMfEjTkmVlXnQnW9W7kxQ3FM3pplYide3I/2PmU2fwghhJBSIavUpVJrRI7jZK0ZA6vFV9WqvpxN7tpYjyFEJ+2JhCiKuHlxDmvLbIKjw2LE033NMBZZC/IdW6k81ga9fvf/rKIo4uZrgxBym+0fOZ7D1//yk6oltBJCCCHFSFpVVK0263Yne5g2GoirMq4W3HYzeiTdRIL+OMYHVna4gpSqqdF13Lw4J4t31ZdhT1P5NlcUlnQig+s/G2QS1ziOw+Ez6rRjBID+c6PISqqff+2ffEy1CuiEEPKw6KcTIXmqZQ/bmjG4ru6pd9lpmSJsy3hPd0MZ8zqTzmF+ekOj2RAtzYz7ZL3rOQCP7WmQVWkoFoIg4NrPBiHkNldRHMdh/9FmRStoDZwfY8bUGXT4/O89r9h4hBBCSKmQVs/KbUl+UJqnnG2bECzC5K66coesNeP0GFX+JazR/hXMTfqZmMmgw9MHW2AxGXa4qnBNXJvbtpVKWaUya6jZwUWsL7Br9ue/chqte9U54U8IIYQUK06jltF2p5l5HQ0Wb3IXAPS1VsFpZQ/XD99ZoUMj5L6JoVXcvjwvi/c0lOFoZ03Bd74QRRE3fjmERJTdd+w9WA9vuTrtGNfm/ZgfXWZiT3z6CDoPNqkyPiGEfBiU3EVInpJV7lJ5Y0RWuatI2zICgNNqkiXuTA6vq3YyieSH5YUQbl6Sn4Q53l2HpiqXBjNSx+jlaQRW2J8vbT1VcLiVaz+5sRLCwih7Gu0jXzqJqsayHa4ghBBCyAdlkCQebU2mVpo0uSuwGi66e2odz6O9lq38Oz+1QZV/yX2zE34M32I3Ce61eHdYjDtcVbjC/ihGLrPtGB0us2KtVJKxFO6cG2Vi5XUefPYffUSR8QghhJBSIk0YUa9ylyS5q4grdwGATsfjVG89tn62RUHEjfMz1J6RYLR/Bf3XFmXxvc0VONxR+IldADB9ZxErUz4mVlHjROe+2h2u2F1CTsCtN4aYmM1pwRd+/wVVxieEkA+LkrsIyVPSyl3JeErV1ojSyl3FnNwFyKt3RUJJrC+rWy2NaGfDF8PVc9Oy3vWH2qvRUefVZlIq2K6nvc1hRs/BBsXGFEUR/e+MMDGrw4xPfPspxcYkhBBCSom0cpcoqFm5i21hnUlmEQ8X3zqio5a9P8xmBMxPBzSaDcknM+M+3LgwK4uf2duIcpd1mysK2912jMNsEikHHD6tXCuV228PI5PKMLFX/+nHYZYcUCOEEELIw5O2ZZQ+K1WKNLkrFowX3SERqQqXFb1NFUwsuJHAxNCqRjMiWhNFEcO3ljB0c0n2sQOtlTjYVl0UiV0hXxQD58aZmNGkx5Ez7ar9+SZuziKyEWNin/vuc3CWqVM1jBBCPixK7iIkT1U1lcEsSbBSszWjRZrcFU0V9YKqxmuHS1IKeWJ4TaPZEDVFw0lcfGMSuSy78bmnqQJ7JAvsYpJOZnD95/Ke9kfPtsMg2RTeTSvT6/AtsJufH//WU3B4bDtcQQghhJCHoTdq15bRajfBaGIrh0krhBYDu8WIunK28u/0GFX+LXVTo+u4eVFeCfhIZw0aKpwazEh5E9fnZFXGO/bUwKtQO8bl6XVZBeBTL/eh72y3IuMRQgghpUballG9yl1sB4FcVkBS0q6tGB1oqYRLkqA+cmcFiXhaoxkRrYiCiP6rCxi5syL72KH2auxvqdJgVrsvm8nh2k/6IUieUxw50waLVZ0qx/FIEkOXJphYy546PP3546qMTwghj4KSuwjJUzzPo6lH0ppxTb2NEWlbRlEQkSriRQXHcbLqXauLYUSLsNIA2ZRKZnDh9Umkk1km3lrtxsG24lgwbUcURdx+fQSJiLo97QVBQP87Y0ysvNaN575ySrExCSGEkFKjl7VlVC+5i+M4WfUutdvLq6VTUt01tJFAwF/c7WPIziaG13D78rwsvqepAj0N5RrMSHlhfxQjl9h2jHanGb19ylQBzmayuPX6IBOzuSz4lT99WZHxCCGEkFIkrdyl1tkFs9Ugq/oZDRb/vbVOx+NUD9vKOpcVtq3cRIpXNpPD5benMDmyLvvYkc6aojqAPvD2GCIb7Pd2e281qus9qs2h/9wIcpkcE/u1/+vj4HWUMkEIyX/6939LcRBFEXNzcxgfH8fKygqi0ShMJhPcbjc6OzvR3d0NnU65SiWEfBgtvXUYvTZz/7WayV1mswEcxzGncxKRVFG3Omip8eDm5ArSWyo4TY6s48Ax5VrUEe1kMzlcfGMSMUmCU43XjhM9dUVR4ngnc0PLWBxnK9NVVDvRuVfZnvazg4uIbESZ2Ge/+xyMJoOi4xJCCCGlRNqWkWmXpgJPuR2ri6H7rwNFmtxVW+aAzWxALLnZHm56dB3ecqpGWmrGBlYxeGNRFt/bXIG+1uI8MCIIAm5u047xyGPKtWMcujiBeIQ9fPXlP3oJ7nJlqoQRQgghpYjjJb/HVcru4jgOdqcZoS1JH9FAHBUN3gdcVRzKXVa013owsbTZ6WBucgOtXRWygzOk+CQTGVx6Y3Lbg0LHu2rRWV+2zVWFaXF8FTMDbOKiy2vFnsONqs1hddaHhTG2OtqTnz2K9j715kAIIY+iqJO7IpEIXnvtNbz11lu4fPkyAoHAju+12+34xCc+ga997Wuor6/f8X2EqKm5V7vKXRzPwWI1IB7brNYVjyThqS7OdhIAYNDxaK/1YmjOdz82N+FHb18tDEZK/iwmgiDi6jvTCPjYRZPHbsbZfY3QSR9kFJFoII47b7HVs4wmPQ6faZOVXt9N2UwWQxfZcsdNPbU4/UqfYmMSQgghpUhvkFTuEtSr3AXcTe7aKrgWgSiIit5naIHnOHTUeXFrcvV+bGEmgH1H6mWtKUnxGrmzjOFby7L4gZZK7C/SxC4AGL86K0vc7OhVrh1jcC2MiRuzTKz3RBvOfuqIIuMRQgghpUrellG9sWXJXcGEeoNrrK+1CrOrIWS2VF2+fWUBZ1/oLOoDyKUuHEzg4huTiEfZjjk8x+FUbz1aqt3aTEwB8XACt14bYWI6PY9jZzugU6liVjadxY3X5JWAP/97L6gyPiGE7Iai3b2+dOkSTp48iT/6oz/Cz372swcmdgFANBrFf//v/x2vvPIK/uEf/kGlWRLyYM176pjX8XAC6aR6rREtdrZKVyJS/C0Ku+rLsHW5lM0KmJnw7fh+UpgGri1gZYHdjLCZDXiqrxkGffEm8gmCgGs/G5SVHT54qhVWhavyjd+YRTLGVkn70h++CL6IE+kIIYQQLUgPJajZlhEAPGXs6fJcJodIIKbqHNTSXuMBv2WzRciJmJva0HBGRC2iKGLo1tK2iV0H26qKOrEruBbByOVpJmZ3mtF7UJmK16Ig4sbrg0xVcb1Bh1f/6Sdos5MQQgjZZTwnTe5SL7vL7rQwr2Ml0JbxHovJgH0tlUws4IthYfrB+5qkcPlWIjj3szFZYpdRz+OZg81Fldh1b08ik8oy8b4TLXC4LDtctfsGL4wjHmaTRr/w+y/A6aUKeYSQwlG0x0mj0SgymQwTMxqNOHDgAFpbW+H1epFOpzE+Po7Lly8jlbq74RyPx/Enf/InSCaT+NKXvqTF1Am5r66tEjo9j9yWNoHRYALeaqMq41ttJvgRuf86Fir+0zJ2ixENFU7MrW8m/kwOraGtq4J6bheJ6dF1Wf96o16Hp/uaYS3y9oDj12YRlJywb+6sRF2TsiXOk7EUxq5OMbH9Zzqx73SHouOWKpPJhFdffVUWI4QQUhpklbtUTu4yW42w2IxIbKkAHFgJw1lmf8BVhcliMqChwonZtc02lNNj62jrrqCkkyImiiIGri9iYmhN9rHDHTXobSzXYFbqyGUF3Pj5IERB0o7xjHLtGKfuzCGwEmJiH/vWk6htrVBkvFJHawlCCCltWlbbtTvNzOtooHSSuwCgu6EM44sbiCQ211EDNxZR0+CC3lC8h5FL0fzUBq5fmGXvqXH38PnTfc1w2cw7XFmYxq7MYGOJvZ9vaC1DY5t666aN5SAmbrKVgLuPtuDJzx5VbQ6lgtYThCiraJO77uE4DidPnsTnPvc5PPnkk9v+AFlfX8df/uVf4uc///n92D/7Z/8Mhw8fRnd3t5rTJYShN+jg8NgQXN9MsFKzcpfdVZoLqp7Gcia5KxHPYH4mgKa24ulvXqoWZwK4dXmeifEchycPNBXdoklqYzmEkUvyE/b7jzYpPvbw5Ulkt1QL4zgOX/wDKnesFIfDgX/5L/+l1tMghBCiEb2scpeKvVTe4ym3IxHbrGAVXA2jaU/tA64oXJ31Xia5KxpKwbcaRUW1Mu3piLYymRyuvTODlYWQ7GPHOmvR1VDca8aRi1MI+9lKfF376uCtUObrPRFNYuD8OBOraSnHx37jSUXGI7SWIISQUidvy6jeWsIhSe6KhRIQckLJHLjW8TwOd9TgrTubCSjJeAZjg6vo7SvOtVSpEUURw7eXMXpnRfaxMqcFT+5vgqXIDp/7l4Kyqr9Wuwl9J1pUOxAl5ARc/+UAEzMY9fiN//tT1FVEAbSeIERZRf1T6/HHH8f3v/99/Nf/+l/x/PPP75gZWlFRgb/927/Fyy+/fD8mCAL+9b/+12pNlZAd2SRlSdPJzA7v3H3SkqiRjeJspyJV6bah0mVlYmP9KxAE9TfGyO5ZXQrj6rszsvjJnjpUuou79G48nMDlH97e9oS90ie/IhtRTN9hE+rOfPwQmnrooQQhhBCiBK0rdwHy1oyB1cgO7yx8VW4bnFb2WcP06PoO7yaFLB5N4dxPR7dN7DreXVf0iV3+pSDGr7On3V1eK3oO1Ck25u23RpBNs+1bvv6Xn4TBVPRnVQkhhBBN8Bomd9klexGiICIeTqo2fj6oL3egxstWPB4fXEUsmtJoRmS3ZNI5XHpzatvErvpyJ5491Fp0iV2ZVBbXfjoIbN2S4IBjj7fDYFTvfn706hTC/igT++RvP4OaFqoETAgpPEWb3PXEE0/gP/7H//iBK29xHIc/+7M/g822+RD6woULiEajD7iKEOU5JEkn6YR2yV3JaErWF7tY7Wlmb+yi4RRt0hQw/3oUl9+akpU63tdcgdYaj0azUkcmncWlH9xBKs7+7OjcW6vYCfutBs6PMw+CDCY9Pvu7H1F8XEIIIaRUSRO3BUGD5K5ydkMi7ItokmSmBo7j0FnHtrhemgsiEVev4jJR3sZ6DG/9ZBThILvByHHAqd562ddAscllc7jxiyEmxvMcjpxpV6yaxsr0OhbH2c2vs588jN7jbYqMRwghhBDIK+moeNbZaNLDKEngjgRK47D5PRzH4UhHDbb+NQi5uy3BSeGKx9J4+2fbHxLpri/D2f2NMBRZhTpRFHH7jREkIuz6qaevAd5K9apch/1RjFyZZGJNPbV4+dXHVZsDIYTspuL6bbGFXv/wWb9utxuPPfbY/deZTAZDQ0MPuIIQ5dk9bAUpVdsyOs2AZD0XLZEFVV2ZA14HWwp6+PYyUsnSSG4rJqFAAhdfn0Quy24odtZ5caC1SqNZqUMURFz76QDCPjZRubLWhd6D9YqP71sMYGlilYm98LXHUFbjVnxsQgghpFRJK9qIgqh6YpWnnD2gIuREWSu3YtJa44FuS5UDUQT6ry6oWumAKGdxNoB3fjEmWwsa9To809eCtiI/LAIAI5emEQsmmFjPwXq4JM8rdksum8OtN4eZmN1jxRf/8CVFxiOEEELIXVq2ZQTkh82jG3FVx88HbrsZnXVsRdil2SDWl4u3GnIxCwcTOPfTUUS2OSRytLMGR7tqwavUnlBN88MrWBhl9wXKqxzo2qdeNw9RFHHzjUEIuc2fYxzP4Tf+n08p3s2EEEKUUrTJXR9WY2Mj89rn82k0E0LucrilyV3qVe7S6XjYJQlOkRJZUHEch6Od7I1mJp3D8O0ljWZEPoxYJIXzr40jk84x8eYqF4511arW110rA++MY3Xaz8QcLguOne1QvJ+8KIrof2eUidk9VnzsG08oOi4hhBBS6qTrBwBIJdStImUw6mG1s60Ki7nFu8mgkyX4LM4GMTe5odGMyG4QRRGj/Su48vY0syEAAC6rCS8cbUO1pG1OMQqtRzBxfY6JeSvs6Nyj3MbM2PUZxELss4cvfe9FOL22Ha4ghBBCyG4wmtm2cLlMbod3KsPpZpO7gmthVcfPFwdaK2HUs8knt6/MQxDo8Egh8a1Gce5nY0hIOmqYDDo83deC7oZyjWamrGggjttvsvsCBqMOR860yxJIlTQ3vATfQoCJvfRrj6N1r/KH3gkhRCmU3CURi7EPnA2G4upxTAqPXZrcpWJbRkDe676YN2WkKt02NFe5mNj0mA+hQGKHK0g+ScYzOP/LcaQS7An72jI7Tvc2FH1i1/SdBUzenGdiRpMep57pkpU4V8LSxCo2loNM7FO/+QysDsv2FxBCCCFkV9jdVtkDU7WTuwD5xkzEH93hncVhf8v2GzDRcHKHK0g+y2UF3Lgwh6Gb8sM9NV47nj/SBqfVtM2VxUUURNx8bYSp2sHxHA6dblVsYyYWimPkMts6pfNQEx7/5GFFxiOEEELIJovkgEYmrW4XC7ekAnBwtTSrVZkMehxsYztOREJJjA+u7nAFyTdLc8FtD507rSa8cLQdNUV6SETICbj20wFZYuihU62yA2BKSifT6D/HJphV1Hvw6e88o9ocCCFECcrv7haY0VH2h31VVXG37CL5T5bcpWLlLgBwuixYmd/Mbi+l5C4AONRejfn1MHL3TsWIwJ2r83js2Y6iTw4qZOlUFudfG0csym5kVrisOLuvCbyKJ0S0sDa3gTtvjjExnudw4qlO2CTV+JQgCAIGzrPjVzWW4ZkvHFd8bAKEQiF8+ctfZmL/43/8D7hcrh2uIIQQUkx4HQ+Hx4bwlmSqVFz95C6H24KVheD918XclhEALCYDTvbU4e3+zQpHuayAa+/M4PEXuor+/rOYhIMJXD03jXBQnpjXUevFsa7akvn7nLq9gOAqWzGja18tnNtUCNwtd94eYVrJcjyHX/3zjyteeZjcRWsJQggpbRY7+9wwq3ZyVxmb8BILJZBOZmQVxUpBe50X40sb2Ihs3pOO3F5GTYNLdpCG5A9RFDExtIaB64uyj1W4rHjyQBNMhuLdmh+6MIngGpuU2dxRibrmsh2uUMbAu+OyQ25f+7OPwWQxqjqPUkTrCUKUVby/QT6E+fl53Lhx4/5rp9OJ3t5eDWdEyHbJXepuzDikJ+5LLLnLZjZiT1MF7kyv3Y/5VqJYng+httGt3cTIjnwrEVw/P4t4jP1e8djNeOpAM/S64t4UiGzEcOVH/czpegA4eKoV5VVOVeYwM7CIaIBto/K533sOeiPddqghk8ng/PnzshghhJDS4Sqza57cJU3+iBR5chcANFa60F7rwcTS5uGYgD+O4dtL2HOwTsOZkQ9CFEXMTvhx58o8cjl5y5tD7dXobSwvmUM+sVACQxfYClp2pxld+5T7Wl6d9WFpco2JPfulk2juVa4FJGHRWoIQQkqbtLKO2pW7XG4LeJ5j2g+G1iKoaPSqOo98wHMcjnXV4efXJnHvsyEIIq6fn8VZOjySl3I5ATcvzmF+akP2sfpyB87sbSzqvYm1Wb+snbvDZcb+Y02qzsO3sIHpfrajyZFn9+DQUz2qzqNU0XqCEGUV72+RD+Hf/bt/x2yGP/vss9DraSOaaMsh2RRJqdyWUXoKJBZKIJfN7fDu4rSnqQJWE3s6qP/aAnJbThMT7eVyAvqvLeCdX4zLErscFiOe7muG0aDb4erikE5kcOn/3JadquvaX4um9gpV5pDN5DB8aYKJte2vx4kX9qsyPiGEEEIAZxnbziQZT6k/h23WEdlM8a8jjnTWwmllTwOP9a/Ct1KaLWUKRSadw9Vz07h5cU6W2KXjOZzd14g9TRUlk9gliiJuvjYsa6dy8FQrdHplHiUKOQG33xphYk6vDZ/9Rx9RZDxCCCGEyMkrd+VkB0iVxOt4OD3sfoi0ClApqXBZ0dNYzsSC/ji1Z8xDyXgG7/x8bNvErvZaD87uayrqxK50MoMbvxhmYjzP4ejZDuhV3JPJZrK49osBJmayGPDVf/yKanMghBAlFe9vkod0/vx5/K//9b/uvzYYDPjGN76h4YwIuUvrtowOl6TErwhZRZ5ip9fxONxRzcTi0TQmhtZ2uIKoLRSI460fj2z7d2Ix6fHMwRZYTMVdvlsQBFz9ST9ioQQTr23yovdgg2rzmLg5g2SM3UD+/O+/UDIbYYQQQkg+cHrZdiaatGWUriNQGusIg47HY3sawUvufa69O4N0St3KB+SD2ViP4Y0fDWNxNij7mMduxkvH2tFYWVotJGbuLMI3H2BizR2VqKhWrhLw1J15RDaiTOzzv/88bE5qO0QIIYSoxeowy2LZtLoHNDzl7EGVgKRFdKnpa62C08pWVBu+vYxQILHDFURtAV8Mb/54BAGffL3b11aFE911RV1pTRRF3Hp9RLYnsPdII9xe2w5XKWPg3XHEQuzfw6d/5yMor/WoOg9CCFEKJXcBWF1dxfe+9z0m9o1vfANNTeqWiiRkO3bJSZVsOgtBxYpReoMOFht78rzUWjMCQFOlC5Uu9u9itH8FCQ02ysgmURAxNrCCN388inAwKft4lduGF460wV4CvdQH353EumQDxl1mw5EzbaolVqWTaYxdm2Zi+x/rwN6T7aqMTwghhJC7XGWS5K6E+veseoNO1tYl4o/u8O7iUua0oK+tiokl4hncujSnauUD8mCiKGJsYBXnfjaKeFT+PdJV78ULR9rgssk3OYtZLJTAwLtsJV6L1Yh9RxsVGzOVSGPoIjtmy546nP3kEcXGJIQQQoicRXL/DgCZtLqHzd2StUwpV+4CAJ2Ox6neemx9uisKIm6cn2HaVxJtzE9v4NzPx5CUdNzR63g8sb8J+5ori/7Q88LoKpbG2UP3lbUutPVU73CFMtYXNjB5a5aJdRxsxItfe0zVeRBCiJJKPrkrmUzit37rt+Dz+e7H+vr68M1vflPDWRGyyeGWZ7arXb1L2lKlFJO7OI7Dkc5aJpbLChi8saTRjEhwI453fjGOwRtLECULWZ7jcLijGs8eaoHNXPyJXXPDy5i8wfazN1sMOPl0F/R69coej1yZQkZSkeLzv/+CauMTQggh5C6nNLlLowMJ0nVE2F8664jexnJUe9i13OJsEHOT8jYdRH2JWBrnfzmBwRuLkObbGfU6nN3XiGNdddAVceuU7YiiiJu/lLdjPHS6FQajXrFxhy5OIJNin3N85R+/Ar7EPv+EEEKI1sxWeXJXVuXqsx5Ji/l4KKH6fki+qXBZ0dtUwcSCGwmMDaxoNCMiCiIGbyzi2jszECRt3e1mA54/0oaGCuWq3uaLeDiJ22+MMjGjSY/Dj6l34By4247x+i/6mZjBpMc3/+qztKYghBQV5Z7MvOepp57C4uKiYv//3/ve9/Dqq69+qGtzuRy++93v4s6dO/djNTU1+Lu/+zsYDMXdvosUDvs27UzSyQzMNvlCSykOtxWri6H7ryMltCmzVZnTgvZaDyaWNqsjzU9toLWrAt4KdcvLlrJoOInBG0tYmgtu+3GP3YzTexrgsZfGCfvgahi3XhthYjzP4cSTnbBY1Utsi4cTmLzFJpiderkPLXvqVJsDIYQQQu5ySjZEtEvusmJlIXj/dSkdEuE4Dqd7G/DDy+NIZzcTZW5fmUdZpQ12Z2ncq+ajhZkAbl2aQ2abFkMVLivO7G0oiQMi25m+swjfgqQdY2clqurcio0Z8kUwdYddR5x86QC6j7QoNiYhhBBCtsfreJhtRiRjm+uHTFrd5C6nxwKe55iqVMG1CCobvarOI98caKnEgi+M0JbWdyN3VlBT74LLa33AlWS3JRMZXH1nGr4VeWXqKrcNj+9rhFnBgxH5QhRF3PjFILKSnxEHT7aoui8BAAPvjiEWYluVfu67z6G2tWKHKwghpDCVdLrqn/3Zn+H111+//9rtduM//af/hKqqqgdcRYi69EY9zJK2iKpX7nKV7ol7qb7WKhgkmf7Xz89suzFAdlcqmcHty/N47f8M7ZjYtaepAi8cbSuZxK5UPI3LP7oja9Xad7IF3kqHqnMZvDDOzEOn5/HZf/QRVedACCGEkLvkbRlTO7xTWY4SrtwFAFazASd72ET3XFbA1XdmkJPcvxHlZdI5XHt3BlfPTW+7ftvXXIGPHGot2cSuWCiBQWk7RpsR+44o145RFEXcfmsY2FLswGg24Ivfo+q/hBBCiFYskueqaid38TwvS1YKroZVnUM+ut+ecUsxJFEQcf38LLVnVNH6SgRv/HB428SuzjovnjnYUhKJXQAwcWMOvi2HuQCgsa0cdc1lqs5jbd4vO3TedbgZL3yV2jESQopPySZ3/Yt/8S/wD//wD/dfW61W/If/8B/Q3t6u4awI2Z50QZXNqHxaRrIpEw3GZdn4pcJiMmB/SyUTi4ZTuHpuWtYakOyOXFbAaP8KfvG/BzE1ui5rmwLcLXX83OFWHGqvho4vjV9tQk7AlR/3IxFhN2tbu6vQ3FG5w1XKCKyEMDfMtih9+vPHUdWk7kKOEEIIIXdt15ZR3O4mSul5SNYR8VAC2UxpHYporHShvdbDxIL+OPqvLmg0o9LkW43ijR8OY35K3hbTajLg2YMt6GurBs+r1zokn9xtxzikejvGpck1rM+zfyev/PpZlEu+ZwghhBCiHoukY0hWg0PNbsl6JrgWUX0O+ajcacWeRrYSUSiQwGg/tWdUmiiKGL2zjHd/OY5Ukt0b4zjgWFctjnfXlcx6IuSLYvjCJBOz2Iw4cLxZ1Xlk01lc/8UAEzOaDfjGX32G2jESQoqS4unDf/u3f4tUSrlTwg0NDQ99zb//9/8e/+W//Jf7r41GI/7tv/23OHDgwG5OjZBdI+tNrfK+jMtrA8dhM6lGvLugKq8vzQeuXQ1lmF4NYiOSvB9bXQpj4MYi9h2p13BmxWd1MYSbF+eQiG9frc6o16G3qRzd9WUw6HUqz05bA+9MwL8YZGLlVQ7sP9ak6jxEUcTtt9m2kBabCZ/4zadVnQchhBBCNrm87GZILisgl8lBr/IJYmnlLgCIBmJwVzpVnYfWjnTWYi0YRzi++WxkeswHb6UNja2UDK8kQRAxfHsJYwOr266jm6tcONZVB5OhtNYSUtN3FmSn7ps7K1FV61ZszFxWQP85dh3hrXbhlV8/q9iYhBBCCHl/WlfuAgBPuQ3To5uvqXLXpv2tlZiXtGccvbMMi9WA5o5yDWdWvFLJLK69O4O1JfnXodVkwJm9Dah02zSYmTZyWQHXfzYIIccusI6caVf0YMh2+t8ZRTzMtmP8/O89j5pm+l4ghBQnxX/K7tu3T+khHsr//J//E//m3/yb+691Oh3+5m/+BqdOndJuUoS8D2m2v9qn7nV6Hk63FaFA/H6slJO7dDyPs/ua8JOrE0htOdk8MbQGp9uCpnbaoHlU2UwOA9cXMT3m2/bjPM+hp6Ece5sqYCzBjZi54WVM3ZpnYharEcee6ASvcuWyxfFV+JcCTOzj33oK7nJ120ISQgghZJO0chcAJONp2FV+0KrX62BzmBDbUmk07C+95C6Djsfj+xrx06sTyG2p9nvr0jw8ZTY4XKXRUlxtsUgKV9+ZQcAnbwdq0PE43l2Hlmq3+hPLM3fbMcpP3SvZjhEAJm7NIhZiN2K++L0XYbKUZltMQgghJF9Y7NLKXeond7nL2ESZeDiJdCIDo8Wg+lzyjY7ncbq3AT+9NnH/ML4oAjcvziESSmLvoTpwJVI9Sg3+tSiunJtGcpvD57VldpzubSiZNoz3DF+cRNjHtqXs2FODimp11/lrc35M3WH3SLqPtOC5r9B+PyGkeJVUTcLvf//7+Mu//Mv7rzmOwz//5/8czzzzjIazIuT9SZM1NOioAk85u0EUWCnt0zJ2ixFP7G8CL6mqdvPSHPxr8n7r5IPbWI/hjR+N7JjY1VLtxsdOdOJQe3VJJnaFfFHceo094c7zHI4/1Qmzyg84ctkc+t8ZZWIV9R48/7XTqs6DEEIIISyzzQijmb0vSMaUq6j9IA63lXkd8csTbUqBx27Gie46JpbLCrh6bhq5nKDRrIrX4kwAb/5oZNvErkq3DS8f76DELrzXjvG1YVk7xsOn2xQ9dZ9OZjB6hU0o6zrcjFMvU0V9QgghRGtWaeWulPrJXU63BbyOfe4eXCvt/YitypwW7GuulMUnhtZw7udjzOEa8uGIooiJoTW88/MxWWIXB6CvrQpPHWguucQu32IAE9fnmJjTY0XvoYfvsvUoMqksrv+yn4mZLAZ8468+rfrhd0IIUVPJ/IR77bXX8Kd/+qdMxaM///M/x8c+9jENZ0XIByM/aaF+dpennD0tQ6WQ724KHO+uZWKiIOLyW1OIR2kB9bAEQcTwrSWc+9notgvQKrcNLx5tx2N7GmAv0dPc2UwO134yAEGyAXjwZAu85fIKHUqbuDkrK3v8xe+9CKOJTtERQgghWuI4Dt5qFxNLRBI7vFtZTklrxrC/dA9CtNZ40F7LVj8OBRIYuLao0YyKTy4r4OalOVw5N42MJGGJ5zgcbKvGs4daSnY9ITVxYw6+ebYKb3NnJSprXTtcsTtGr0zJNoq//Mcvg+OoygQhhBCiNYuDTe5KJdKqz4Hnebg87H6Efymk+jzy2f6WSvQ2ylvPbazH8MYPhzEz7lO9A0yxyGZyuPrODPqvLcgKLViMejx7qAX7mitL7t41l83h5i+HmRjPczh6pg06nbrpBrffGkY8nGRin//9F1DdRO0YCSHFrSSSuy5evIjf/d3fRTa7+eDoD/7gD/CFL3xBw1kR8sFJk7vyoXJXLJRAOikvRVtq2mu96JEsolLJLC69OYWsZDOB7CwSSuLcT0cxcmdF9vWt4zkc76rFs4daUOa0bP9/UCIGzo0jssFWH2jtrkJTh/ykltIS0SRGLktO2x9pxvHn86sdMyGEEFKqymrY5AytDh/IkrvWSze5CwCOdtbCZWNb3UyNrmNpLqjNhIpIOJjAWz8Zwcw2FYAdFiOeP9KKvc0VsurLpcq3EMCQBu0Y45EEJm7NMrETL+5H+wF1T/sTQgghZHtVjWXM67Avosk8yqsczOu1Wb8m88hXHMfhcEcNTvbUye5vs1kBNy/O4dKbU0jE1U/OK2SRcBJv/XQUizMB2ceqPTa8dKwdVR71D1nng5FL04gF2UNjvYca4PLadrhCGYvjK5gdYg9I9RxrxUe+fFLVeRBCiBaKPrnrzp07+Pa3v410evMG5jd/8zfx9a9/XcNZEfJweGnlLg2yu5yebUohU/UuAMCh9mrUlrE39KFAAtfOz9DpmA9gdtKPN380jIA/LvtYmdOCl493oLO+rOROwkgtTaxhpp9dtLi8Vuw72qTJfAbPj8sSGH/lT14p+b8nQgghJF/kS+Uudxn7oDcRTSFVwhsMeh2Px/c2QidZ4924MIt4tHQ/L49CFEXMjPvw1o9HEA4mZR9vqXbjpWPtKHNat7m6NCWiKVz9yYBsvXrodKui7RgBYOjiBFOJWKfn8dnffU7RMQkhhBDywTV11zCvQ76IJs+4K+vY9UxgNUyHzbfRXuvFRw5vX5l2ZSGEn//DAC69OYmVhRBEgfYqHmRpLoi3fjyCyDZrin3NFXj6YAssJdqxIrgalrVj9JTb0dFbs8MVykhEk7jx2iATs9hM+NZff5baMRJCSkJRNwMeHx/Hr//6ryMe30wY+NrXvobvfOc7Gs6KkIcnTZbQIl+I53m4vTZsbDlpH1gNo7Kp7AFXlQae43BmbyN+enUS4fhmRYTluRDuXFnA/qP127TWJLmcgDtXFjAzLj9Zz3F3S0vvbaqUJzeWoHgkKSt5rNPzOHa2Q/WSxwCwsRKUnY45+6kjaNtXr/pciJzRaMRHP/pRWYwQQkhpKat2M68TGlXucjgt0Ol55LKbyRzBtQiqmkt3HeG2m3G0sxaXRjbvpzLpHK6+M40zz3XS/e9DiEfTuHN1Hsvz8jY9dysA16G1xk0HELYQcgKu/aRflmTZ01ePqlq3omOH/VHZOuLJzx5DTTO1T8kXtJYghBDS1MMma2RSWcTDCdhc6ibKl1c6odPxyN1LCheB9bkN1HVWqTqPQlDhsuHlY+24Nr6MiSW24pQoAsvzISzPh2CxGtDUXoam9nJY7fT7/R5BEDF8awljA6uyjxn0PB7b04D6cqcGM8sPQk7AjV8OM0meHM/h8OlWVfe9RFHE9V8OyJI8v/bnH0NFnUe1eZAHo/UEIcoq2uSuhYUF/Nqv/RqCweD92Oc+9zn88R//sXaTIuRDkrdl1OaEhafcziZ3rVDlrnuMeh2ePNCEn16dRDq7Wc1oanQdyUQGRx5rhk5PJwfuiUVTuPL2NILbVOtyWk04vace5XSyHgAgCiKu/2wQmVSWiR843gyHS/02laIo4vabbKKZxWbC53/vedXnQrbndDrx3/7bf9N6GoQQQjQmbcuoVeUujufg8lqxsba5jij15C4AaK/1YHkjitm1zaSkjfUYhm4uYe/hOg1nVhgEQcTk8BqGby8ziYP3eOxmnNnbAJfNrMHs8tvguxPwL7HJcFV1bnQfUP7rbvD8GLDlcYbJYsCnfusZxcclHxytJQghhHirXbA5LYiFN9cPIV9E9eQunZ5HebUDq4ub9y2rs35K7tqBQa/DyZ561Jc7cXF4ASlJxwUASMQzGLmzgpE7K6iqc6K1qwJVdc6SPgixsR7DnavzCPjk+xQeuxln9zXCYTVpMLP8MXZtFmFflIl176+D06Puz4SpO/NYnWELBRx7bi/OfPyQqvMgD0brCUKUVbTJXd///vextrbGxP7+7/8ef//3f/9Q/z/f/va38Vu/9Vu7OTVCHhovrcyjWXIX21IluBrRZB75ymk14fF9jXj91jTzV7Q0F8S7vxzHiSfbYDIX7Y/dD2xlIYRr784gk5YvMDvrvDjcUQO9BtWo8tXo1Rn4F4NMrL65DE3tFZrMZ254CRsr7GbQJ37zabgrHJrMhxBCCCHbk7dl1KZyF4C7FYC3JHeF1uiQCMdxONFTB184jtiWk8fjg6vIZnPYf7SBKnjtwL8Wxa1Lc9u2YASArnovDrfXaFLhNt8tjq1i8uY8E7PajDhypk3xTT3/UgBLk+xzuhd/9QytIwghhJA8w3EcGrtrMHxl6n4stB5BbZv6SVVVtW4muWttdgOiKJZ0MtL7aahwotzViVuTK5heCSK3QyvG1cUwVhfDsLtMaO+pRENrGfQldDg9EU9j8MYS5qc2tv14a7Ubx7vrSn6fIuyPYvTyNBNzeqzo2ler6jwigRj6z40wMXelA1//y0/SzwNCSEkp2t9K21U2yuVyD/2PVhWSCNkqH9oyAoCnzM68TsZSmrV3yVc1XjtO9zaAl/ydbazHcO5no4hpuKmmNVEQMXRrCRffmJQldul4Do/taaAFk4R/KYiRS1NMzGozou9kiyaLlkw6i4F3x5hYdXM5XvjqadXnQgghhJAHK6txM6+T8RSEnLzCkRrcZZJDImt0SAS4W/33zN5GSG/rpkd9uPD6BNKSyq2lLpXM4saFWZz72di2iV0mgw5n9zXiWFcdJXZtI7IRk7V653kOx5/shMlsUHRsURRl6wi7x4qXv35W0XEJIYQQ8uE0dbOtGUPr2ty/V9a5mdfJaAqRjZgmcykkFqMeJ3vq8ekzPTjeVQuvY+dqttFQCrcuzePn/9CPwZuLSEhadxebXFbA6J1l/PL7Q9smdvEch2NdtTjVW1/y+xSiIOLmL4chbk0Q5IDDp1vlBSkUJOQEXP3pHVnF5m/888/A4bHtcBUhhBQnKiFDSAGQntjWKunQ7jJDb9Ahu6Wkb3A1DItdmwpC+aql2g2zUY+378wis2UDLRpO4e2fjuLk0+3wlJVWy8FwMIE7Vxewvix/EOC0GnF2XxPcdmqZslU6mcG1nw4ybUs4Djh6tgNGkza/vkevTCEZYxMUf+WPX4beSLcThBBCSL6RtmUEgEQ0qXo7FUCe3BUPJ5FOZmBUOKGkEFS4rDjaUYsrY0tMfH05cnft8FQb7M7Svk8WcgJmJzcwdHNpx4S3jlovDrZXwWSg+9LtZNNZXPnRHWYtDwAHTrTAU27f4ardszLjg28xwMQ+8a2nYH3ARiMhhBBCtNMoSe4K+rRJ7nK4zLDYjEjENhOO1mY34CxT/v6lGBj1OnTWl6Gzvgz+cAITSxuYXgkyexb3pFM5jPWvYnxwDfXNHnTvry6qdYgoiFiaD2Lg+iLi0e0T2BwWI07vqUeFixKGAGDy1jwCK2zV7Y49NaqsH7YauTKJwCrbSeTZL51E3+Ndqs6DEELyQdE+9frt3/5t/PZv/7bW0yBkV3B5ktzFcRzcZTb4ttzQBVbDqGmj5C6pGq8dzx1pwxu3phHfsgGRSmbxzs/HcOzxFlTXyzfcik0klMTI7WUszAS2/XhjpRMne+ph1OtUnll+E0URt14fQSLCViTo6atHWaU2bUuiwTjGb7AlmA883omDT3ZrMh9CCCGEPJjNaYHJYkAqsdnyLxHRJrnL6baA5zkIW078htYjqGjwqj6XfNTVUAajQYcLwwvM5ygaTuGtn4zi+NlWVNSUXuu6XE7A7IQfYwOrzIbeVh67Gce7a2kD5gFEUcTN14YR2Ygz8ab2CjR3KL+WF0URg5KqXeW1bjzzxROKj00IIYSQD6eph03uigXjyKazqh/w5DgOVbVuzIxvtnZem/Gj/VCjqvMoBmVOC8qcdTjUUYOZlSCG530IxeRdRkRBxPzUBhamN9DaXYnu/dWaHTR+VLmcgPXlCJbmglhZCCGV3P6giEHHY39rJbrqy6DjS7ta1z2xUALDFyaZmN1pRm9fg6rz2FgOYuQy29mkpqUcX/rDF1WdByGE5IvC/I1MSImRtV/TsFuop5xN7gquhh/w7tLmsZvx/JF2vHFrGsEtC6VcVsClNyfR2l2Jrn3VMJmL70dxPJrG8O1lzE35t/165TjgUHsNehrKqCf6NuaGlrG05aEFAJRXOdC1r06jGQF3zo1AyG3+Zer0PH7lT16hvz9CCCEkT3Ech7IaN5am1u/H4lF5Kzs18DwPp8eKoH+zhUpwjZK7tmqpdsNuMeKtO7NIpjc3HTLpHM6/No4DxxvQ0lkah2qyWQEz4z6MD6wiuSU5cSu9jseB1kp015fLKl0T1vi1WSyOsWsLl9eKvhPqtHqfH1lGSFLt49O/8xEYTVS5jxBCCMlX9R1V4HU809Y95IugrNaj+lyq6lxMcpdvMYhcNgcdHRb+UAw6Hh11XrTXerC8EcXwvA9L/qjsfaIITA6vYW7Sj54DNWjpqiiI++5MOofVxRCW5kNYXQwhm5FXKduqo9aLA21VsFBnivvuHQ6RtkE8dKoVOr16yW/JWAqXf3KbKXbB63j85r/6PEwWo2rzIISQfEK/rQgpAPnSlhGArORqYDUMURQpwWMHNrMBzx1pw1t3ZrEa2NzMurc4mp3woXNvNdp6KqFX8cZYKclEBmMDq5geXWeqDmxlMerx+L5GVLrpdP12EpEk+t9mT7YbTXocebxdVsVPLctTa1ieZDeEnvuVU6hrq9RkPuTBwuEwvvOd7zCxv/u7v4PT6dRoRoQQQrTirXYxyV3SqqBq8pTZmOSu0Jo2rV3yWYXLihePtuHN27MIbEnEE0Xg1qV5BP1x9PTVwmwpzqSYbCaH6TEfxgdXdzxVDwCNFU4c6ayBzUwP9N/P7OAShs6zJ+4NRh1OPNmpysaMkBMweGGciTV0VuPMxw4qPjb5cGgtQQghBACMJgNqWsqxOLH5PDC0rk1yV0WNC+Bw/wCxkBPgWwiiqrlM9bkUE47jUFvmQG2ZA6FYEsNzfkytBJCTPNPPpHO4c3UBU6Pr2Hu4DtX1rrzYCxJFEfFYGqGNBMKBBELv/ROLyKuRbafSbcPRzhp4HRaFZ1p4pm4twDfPdmJp7a5CebV694OZdBbnv38d8XCCiX/yN59G2351q4eRh0PrCUKURcldhBQAo+ThfTaT02gmgFeS3JVJZhEPJWBzq9/epVAY9To83deMi8OLmF4JMh/LZgQM3VzC1Og6eg7UoKmtTLMEnocliiKi4RT8a1FsrMfgX48iGtp58WTQ8ehuKENPYwVMBjpZtR1RFHH7zVFk0+z3+KFTrbDaTJrMKZvJ4dabQ0zM4bHhk7/1jCbzIe8vnU7jBz/4ARP7V//qX2k0G0IIIVoqq2bbgCc0qtwFAO4yNrE/SMld27KZjXjucCvODy1gfp2tkjwz7sf81AYa2srQ3lMJh8us0Sx3jyiKCPjjmJvwY2E6gMwD1roVLiv2t1Sitqz0WlR+GCvTPtx6bUQWP3KmHTaHOl87U3fmZRsyn/vuc+B1hX+wqVjRWoIQQsg9Td21THJX0KfN/bvRpIe33I6N9c3qUmuzfkru2kUumxkneurQ11aFwdl1jMz7IUgKDETDKVx6cwrl1XbsO1wPd5k6+0HZTA7RSAqxcArRcBLRSArRcAqRYPKBa4edeOxm7GuuRGOlMy+S1PJNcC2CwXfZwxkWmxF7DqmXUCXkBFz60U0E19j1cMfBRnz8W0+qNg/y4dB6ghBlUXIXIQXA5mRPD2SS27emUIPFZoTJbEBqyxwCK2FK7nofOp7H6d56OC1G9M+syxZHyXgGNy/OYWJ4DT37a1BZ64TBmB8JULmcgHg0jXg0hXg0jVg0jXAwgY31GDLp919A6d9L6uptLIfJQL92HmRxbA0rUz4m1thegdom7VoWDV0cRzzMbgR/6Q9flP1cIoQQQkj+KatxM6/jGlbukiZ3RQNxJGMpmDVKYM9nBr0OZ/c14tbkKgZm15mP5XIiZsZ8mBnzoarOifaeSlTUOApuYyKZyGB+agOzE35EQg/+uqzy2LC/uRJVHlvB/Tm1srEcwtUf98uqfu8/2oSaBnUqbmTSWYxcZquGdR1uxqGnelQZnxBCCCGPpqm7Bhd+dOv+69C6doczqurcTHLXypQPex/voHvDXWY26nG4owad9WW4ObGC2bWQ7D2+lSje/PEIGlq96O2rhdW+e9V0hZyAgD8O/1oUvtUoQhuJHdu0P4wKlxUNFU40VDjhtNL6cyeZdBZXf9IPIceuIQ6daoVBpbaVoiji+i8HsDbrZ+KVDV589999hdqxEkJKHu2yE1IApEkU6ZR2yV0cx8FTbsPKQvB+LLAaRn13tWZzKhQcx2F/axVaazy4NbUqq+IFAJFgElfOTYPjAHeZFRXVDlRUO+CttO9620ZRFJFJ55BMZJCMZ5BMZJCIZ5BKZJB4LxaPpj/0AornOHTWebG3pZJ61n8A6UQGY2sMbgAAvhZJREFUd94aZWImswH7jzZpNCPAvxzE+I0ZJtZzrBWPf/KwNhMihBBCyEPxSip3JTWs3OX0WKHT88hlhfuxuaFldB5t1mxO+YzjOBxsr4bLZsLFkcVtW56vLoaxuhiG021GQ2sZ3F4LXB4LTHnYtlEURSTiGWysx7AwvYGVhRDE7bu431frtWNfSyW1c39I0UAcl35wm/leA4DOvbVo31Oj2jwmbswglUgzsc///vO0CUsIIYQUiMYe9r4h5ItAFEVNfpdXN3gwfGvh/utYKIGwPwaXpMsI2R0OixGP72vEWjCGa+PL8EsqsQLA/NQGFmcCaOupRNe+6g91UF0QRAT8MawvR7C+HMGGLyZLLPoweI5DtdeGhgoXGsodsJjyb32Uj+68OYpYkP277thbg6o6t2pzGDw/jrnhJSbm8NjwR//lVbjLqYIzIYTQbjshBUBWuSuV1Wgmd3nK7Wxy10p45zcTGbvFiMf2NKC3sRw3JlawvBGVvUcUgYAvjoAvjrGBVfA8B0+FDQ6nGXoDD4NBB72Bh96gu/uPnocoisjlRAg5Ycu/BeSyAtKpHFLJDFKpLNLJLFLJLNKp7PtuqHwYOp5DU5UL+1uq4LDs3smdYtd/bgxpSSJd34lmGE3a/KrOZXO4/ot+YMvXiMGox6t/8QnakCGEEEIKhKfKybxORHduoa00nY5HXXMZ5iY2K1HNDi6h40gT3Vs8QGuNBxVuG/qn1zC1Etj2/j0cTGLwxuL91yazHi6PBU7P3WQvi9UIcHcTxjgOd/8bd/9bBCC8t3YQBBG59/4t5ESIogi9fnPNYTDy0Ovf+28DD47ndvy7SyWzCPpjCPjj761rYkglP9g6tq7cgf3NlSh3UXXoh5WMpXDh+7dk64rGtnLsOaxeK5VUIo2x6zNM7NCTPeg+0qLaHAghhBDyaJq62eSuXCaHWCgOuwaJ926vFVabEfHYZuL48sQaJXcprNJtwwtH2jCzGsLNyRXEJB1lBEHE+OAq5ib92HOoDo1t3vdd26WSWawuhrCyGMbaUvgDdQZ5EKOeh8dugcduhsdhhsdugdtmgo7agD+UhZEVzA+vMDFPuQ17Dqq3hpgeWMDo1SkmZrIY8L3/+KuoaS5XbR6EEJLPKLmLkAJgc0kqd2nYlhG4m9y1VXAtAiEngKcb5ofidVjwzMEWLPkjuDGxgsADKikIggj/ahT+VXkimNYsJj0qXTZUuKyocFnhcZih4+lr4WGszvhli6eaRo+m7RiHL00gshFjYp/6zjOoa6vUaEaEEEIIeVjeKknlrlhK0/v2lo5KJrkrFkzAvxhEeb06beIKlcNixKneevS1VmF0wY+xxQ2ksztvgqSSWawtR7C2rHzrHO5e0hjPgec4cDwAcEg/5IEku9mAthoPWms8sNMBkQ8lm87i0g9uIx5iT9tX1rpw6HSrqkmUI1cmkU1vfg1wHIfPfvc51cYnhBBCyKNzVzjg9NoQ3vJ8MLQe0SS5i+M41DR6Mbnl+ens4DK6jrWA4+mgiJI4jkNLtRsNFU6MzPswMLOOTI6tEJtKZnHjwixGbi/D5jTBYjXCajPAYjPCYjVCb+CxvhLBykIYAV9sh5EezGY2wGExwmk1wWE1wWk1wmM3w2oy0GGhRxQPJ3HrDbajiN6gw7GzHao9O/AtbODm64NMjNfx+M7ffgntB9RLMCOEkHxHyV2EFACrrHKX1sld7AJOyAkI+2NwV1JZ1A+jtsyBGq8d06tBTCwGsB6KQ1CipNYjMhl0sJuNsFkMsJuN8DosqHRbaQH1iDLpLG69PsLEDAYd+k60aPZ5DayEMHZthom17qvHy68+rsl8CCGEEPLhSNsyAkAynoLVYdnm3crzVtrhcJkRCW0eapgdXKLkrg/IajbgYHs19rVUYmo5gOF5P8Jx7aqxAXcrDouiCAgiHvbMvY7n0FTpQlutB1VuG60pHoGQE3D1JwMIrrIJfe4yG44/2QlexcM30WAMk7fmmNipV/pk1T8IIYQQkt84jkNjdw0GLkzcj4V8UdR1aDOfhrZyJrkrEUliddaP6haq6KMGvY7H3uZKtNd6cWd6DWOLfllV4XgszVRX+7DcdjOq3FZUuGzw2M1wWIxUiUshoiDi+s8HmYMZAHDwZAtsDrMqc4iF4rj4o5sQBfYL6ut/+QkcerJHlTkQQkihoOQuQgpAvrVlNJkNsDlMiEU2NxICKyFK7noEHMehtdqD1moPsjkB66E4VjaiWAlE4Q8noHSql8mgg8Woh8VkgNVkeO+/9bCZjbBbjLCbDTDodQrPojQNX5hEIsJWbdt7tOlu+xwN5LICrv2i/+4m3Xt0Bh2++VefgY6+BgghhJCC4vBYYTDqkdnyoDYR1S65i+M4NHdUov/aZuLH4tga9p3thNFs0GROhUiv49FZX4aOOi+W/FHMrYcQiCYRjCaRE/LvkMhWBj2PcqcVTZUuNFW5YKT7y0cmiiJuvT6C1Rk/E7faTTj1dBcMBnU/x/3vjDEbM3qDDp/5nWdVnQMhhBBCdkdDZ7UkuUv5yrA78ZTZ4C6zIejfrPw0079IyV0qMxv1ONZVi+6GMlwbX8biLnxNuGwm1HjtqPbYUem2wmSgrWu1TNyYg38xyMQaWsvR0KrO91U2ncWFH9yQtZV/+dXH8eRnjqkyB0IIKST0G5KQApBvbRmBu60ZmeSu1TBaNJxPMdHreNR47ajx3m1/mc7msBaMwReKI53NIZMVkMkJyGRz7/1bQDYngOcAHc9Dp+Og43nwPAc9z0PHczAadDAb9DAZ7/1bD7NBD7NRB7NRT20UNeJfCmLq1gITq6h2ormjQqMZ3W2hEvaz7T8/+e2n0NBZrdGMCCGEEPJhcRwHT6UTawsb92PJB7QCV0NDWwUGbszfT/4QcgIWRlfReqBe03kVIo7jUFfuQF353UM2gigimkgjEEkiEL37TyiWvN/CURQBESLe+9/9ZH4dz4F/b93Ac9z91xwHZN9bb2Ryd9chD0PHc/A6LChz3v2n3GmFw2KkCl27bOj8JOaGlpmY0aTH6We7YVb5wMj6wgaWJlaZ2PNffQxVjWWqzoMQQgghu6Oxi30eGNYwuYvjOLR0VeLmhen7sZVpH+LhJKxOdSoMkU1OqwlPHWjGoj+Ca2PLD1VRWMdzqPHaUVfuRF2ZAzY66KOJ0HoEQxcmmZjFZkTfiWZVxhdFEVd/3o+wj92L6DvbjS/8wQuqzIEQQgoNJXcRUgCk5U+1bssIAN5yOxamN08GB1fCGs6muBn1OtSXO1Ff7tR6KmQXZTM53PzlMBPjdRwOnmrVbMMruBbG6NUpJtbUU4uPfuNJTeZDCCGEkEfnqWaTu+IRbZO7zBYDahs8WJzdnNPswBIld+0CnuPgtJrgtJrQVCVvyfmoRFFEVhCRyeaQzQkQBBGCKOJuV0YR4pb/Nht0cNnM4HlK5FLSxI05jF+bZWK8jsPJp7vgcKlboU8URdx5m2037/DY8PFv0VqCEEIIKVQNXWxb5WgwjmwmC71GlZUaWsrRf3UO2cx7DcFFYGZgEb2n2jSZDwHqyhyoOWGHP5xAJJFCPJlBLJlBPLX571QmB4fFiLqyuwdTqtw2arOosWw6i2s/G5S1Qjx6ph0Gozrf38OXJmQHQ+raKvHbf/MF8PT1QQgh26LkLkIKgM1lZV7nsgJyWQE6vXY3OJ4KO/M6vBFDNp2FXqUbP0IKmSiKuPXaMKKBOBPvPdgAu0YnzYTce+0YtyzodHoe3/yrz0CvcisXQgghhOweryTJJxn94CeqldLcWckkd4XWIwiuheGupMMM+YzjOBh0HAz0oD0vzA0vY+DcOBPjOOD4E50oq3RoMJ8lBNfYQ1+f/p1nYXNq0waWEEIIIY+uvr0SHM8xzwvD/hi81bt/kOCD0Bt0aGwrx9TIZkLI7MASuo+3UDKIhniOQ4XLigrJPtY9oihS9d48Igoirv50EJEtLU4BoHNvLcqr1VmTL4ytYPgSWzXM5rLg9/+/X4XVQZX4CCFkJ3S3Q0gB2K6ssNbVu9xeG5j7cREIrmlXlpmQQjJ1awELo+ypFHeZDe29NTtcobzRq1MIrbPfwx/7xpNo7q3VaEaEEEII2Q1eycPZREzbyl0AUFnjgsXGtoubHVjSaDaEFJ6VaR9u/mJYFj94qhU1DR7V55PNZDF4foyJ1bVV4unPHVN9LoQQQgjZPSaLEdVNbHvlkIatGQGgpauKeZ2Kp7E85dNoNuSDoMSu/NJ/bgyr0+z3jMtrRe9BdappB9fCuPbzfibG63j8zt9+CdVN5arMgRBCChUldxFSAOzbnHRNa5zcpdPzcHrYkxj+pZBGsyGkcPgWAhh4hz1hrzfocPTxds3a1gTXwhi+zJ6Uqe+owse/9ZQm8yGEEELI7pFW7kpo3JYRADieQ3NHJRObH1nZbK9CCNnRxlIIV3/cD1FkW6jsPdwo+75Sy/j1GSQkVQG/9EcvQaenCsCEEEJIoWuUtGaUHg5Vm8tjlVUpnelf1Gg2hBSWyZvzmLq1wMSMJj2OP9GhSvW7ZDyFiz+4gVyWXfv/yh+/jH2nOxQfnxBCCh0ldxFSAPRGPUwWAxPLpLIazWaTdBG1NuvXaCaEFIZENIWrPxmQ9bI/cqYNDpc27UrSyQwu/egWMyeO5/DNv/oMDCZqs0oIIYQUOmnLFGkChlaa2iuY19l0DkvjaxrNhpDCEPZHcfH/3EIuKzDx9j016NirTRXgRDSJ0avTTGzf6Q70ne3SZD6EEEII2V0NndXM67Bf++4dLV1sQvv63AaigbhGsyGkMCxPrqP/bbbaLs9zOPFU57YFJnabkBNw+Ue3EJccOHvyM0fx3FdOKT4+IYQUA0ruIqRAWCU3V5mktpW7AKCqzs283lgO5UXSGSH5SBAEXP1JP1LxNBPv2l+H2kavJnMSRRHXfzmAWIh9+PHK18+ibX+DJnMihBBCyO7yVknaMkaTsoo/WrDaTaiqYxPPZgfoxD0hO4mHE7jwv2/J1tyNbeXYd6RRs3Y3g+fHmZP3HM/hy3/8ErXfIYQQQopEY7e8cpfW64m6pjIYJYdSqXoXITsLroZx7acDsvjhx9pQLnlmoARRFHHrzSH4FgNMvPNQE371zz9OawdCCPmAqCQHIQXC5rQgsBq+/zoZ1/7EfUW1ExzP3a/4Iwoi5oaW0HawUeOZEZJ/xq/NYUPSurSqzoXePnV62W9n6s48liZWmVjb/gZ8+jvPajQjshsMBgNOnz4tixFCCClNHklbRiEnIJ3MwGQxajSjTc0dlVhd3Lw/8i+FEI8kYXWYNZwVIfknk8ri4vdvISmpvFdV78ah062abYYEVkOYHWI3Up/8zFFZ+yZSOGgtQQghRKpRUrkrncwgGUvBYtfunl2n59HUXoHxweX7sdmhJfScaqW20IRIxCNJXPrBbVn1356D9WhoLVdlDtP985juZ9tBeqtd+N1/+yvUPaTI0HqCEGXRT0xCCkR1UxkWxjeTMIJrYWCPhhMCoDfoUFXrwspC8H5s/NosmvfV0SKKkC2CaxGMXJpiYla7CUcf7wDHa7MRE/JFcOftESZm91jxj/7fX6IFVYFzuVz44Q9/qPU0CCGE5AlPhQMcxzGn65PRVF4kd9U0eGAw6pBJb1b9WZ32oWW/dsnvhOQbURRx85dDiGyw1Xa9FXYcP9sBntemKL8gCLjx2iATM9uM+MzvfEST+ZDdQWsJQgghUhUNHpisRqYbQcgX0TS5C7jbmnFrclcmmcXS+BoaeijJnJB7MqksLv2f20jG2G4ijW3l6N5fp8ocQusR3H6L3Ycwmg34/f/PV+Eud6gyB6IeWk8Qoixqy0hIgZC2SAushHZ4p7q6JDeAyVgaswNLGs2GkPyTywq48fPB+xXuAAAccOzxdln5cPXmlMOVn9yGkGNP63zrrz6L8lqPJnMihBBCiDL0Rj0cXhsTS0STGs2Gxet4Wat330Jg+zcTUqImbsxhaWKdiTncFpx6pht6g3aHqiZuzt49dLbFx775FNwVtEFDCCGEFBOe59HQUcXEQr6oRrPZZHdaUFnDVimeptaMhNwn5ARc/Uk/wpLv1/JqJw6dUqf6bzaTxeWf3JLtQ3zzrz6Dlj3qJJcRQkgxoeQuQgpE6z729HpwPSK7IdJCWaUDFTVsT+6xa7OyEq+ElKrhi5MI+2NMrGtfLbyV2m163Dk3irCfXdQ99yuncOipHo1mRAghhBAleavY+/V8Se4CgArJhsz6fICpMkZIKVufD2Dw3QkmZjDqcOrpLs0OigBA2BfB4PlxJlbXXomXf+2MRjMihBBCiJIau9lqWGFfRKOZsFq6KpnXG0uhvEg8I0Rroijixi+HsTa7wcTtTjNOPNkJXqdOesDtt0YQ2WD3Rl742mM4+dIBVcYnhJBiQ8ldhBQIaXKXkBMQypNFVE8fO7dkNIW5QareRchM/yImrs8xMZfHip4D2rUaWppcw9Rtdk6N3TX44h++qNGMCCGEEKI0bxWbQJWIpjSaiVyl5KBIOpFBRJIYT0gpSkSTuPbTfkCS63j08XbYHNq1QcplBVz52R3ZYbNf/2efgt5I7d0JIYSQYtTQWc28zpd9iZpGD8wWAxOboepdhGD08jQWRlaYmMmsx+lnu1U7JLIys46ZgQUm1txbiy/8/guqjE8IIcWIkrsIKRB2lxXVzeVMLF9aM5ZXOVFeLa3eNZMXlcUI0cr88DJuvc72kud5DkfOtKl2MkYqEU3i+i/6mZjRbMB3/uYLMJoMO1xFCCGEkELnyePKXVa7CRabkYmtU2tGUuKEnICrPx5AKp5h4j199aiu17aN+tDFcYTW2Q3dF772GLoON2szIUIIIYQorrFLUrnLH82LZ/88z6Opg63etTi2mhdzI0Qri2OrGLk0zcR0eh4nn+pS7ZBINpPDzdeHmJjJasR3/s0XYdCwAjEhhBQ6Su4ipIC0Sap3BVbzI7kLAHoOsP2xE5EU5oaWNZoNIdpamljDjV8My+L7jjbB5bVpMCNAFERc/dkdpJPsBtFX/vQV1LVXaTInQgghhKhD2pYxGcufyl0cx8laM/rmKbmLlLb+c+PYWGbX+1X1bnRL1t1qW1/YwNg1dqOovqMKn//95zWaESGEEELU0NjNVu4SBVHWak0rTe0VzOt0IoO1uY0d3k1IcQushnH952xSFTjg+BMd8FY6VJvHyOVJxMMJJvYrf/IyaloqdriCEELIB0HpsYQUkNZ99Tj/w1v3X2/kUXJXebUTZVUO+Fc3T/COXplBY2+NZlWKCNHC6rQPV38yAFFk+6d0H6hDW0/1DlcpSxRF3H57BOvz7IONYx/Zi6c+d0yTORHlRCIR/MVf/AUT+yf/5J/A4VBvAU8IISS/eGRtGfOnchdwtzXj3MT6/de+hQBEQQTHcxrOihBtzI+sYPo2277Eajfh6Jl2cJx23xPpZAbXfnaHiekNOvzW/+vzVAW4iNBaghBCyHbsLivKa93wLQXvx4LrYbgqtP/9YHea4a2wY2M9ej82P7yC6pbyB1xFSPFJRJO4/AN5+/T9R5tUrf4b8kUwdp09ENJ1pBlPfuaoanMg2qH1BCHKouQuQgpI+4EG5nXYH0U2k4XeoP23Msdx6DlQj3e3VCtKRJKYG15B895aDWdGiHrW5wO4/KN+iAKb2NWxpwY9ffU7XKW8seszmLw1y8S81S78+v/9KU03iIgyUqkU/vN//s9M7A//8A9pAUUIISXMK2mhnozmT+UuALIW75lUFiFfBO5K5w5XEFKcQusR3HqNrQDM6ziceLITRo3bl9x6cwjxCJsY+rnvPoemHlrvFxNaSxBCCNlJU08tk9wV8kV2frPKGtrKmeSu5cl1ZFJZav9GSkY2k8PlH9yRVelu6axU9cC5KIq4+fogsz+iM+jw9b/4JHieikCUAlpPEKIs+klKSAFp6qllq2CJQHA1rN2EJCpqnPBW2pnY2JVp6nFPSsLGUgiXfnBb9vXe0lWJvUcaNUuimhtewsA7o0xMZ9Dht//1F2B3WzWZEyGEEELU5ZVU7kol0shl8+ce3Wozwe40M7F1as1ISkw6mcGVH/fLvjcPnmiBu0yb1u73zI8uY35kmYn1nmjDi792RqMZEUIIIURtTd01zOvgWv4kd9U3lzHPXoWcgOXJ9QdcQUjxEEURN34xJPuerKh24sCJZlX3JWYGFuDfkgQKAK98/XHUd1SpNgdCCClmlNxFSAExWYxokNwE5VNrxnvVu7aKh5OYH1nRaEaEqCO4FsGF799CLpNj4o1t5eg70aJZYtfqrA/XftEvi3/rrz6D7qMtGsyIEEIIIVrwbFMBKxnLr9aM0updPkruIiVEFEVc//kQYsEEE2/prERTR6VGs7orHkng5uuDTMzqMOPbf/1ZOn1PCCGElJBGSXJXyBeGKIo7vFtdJrMBVfVuJkZ7EqRUjFyaxtL4GhOzOcw49kSHqvfryXgK/e+MMbHKBi8+8e2nVZsDIYQUO3oKQ0iBaZO0ZtxYzp/kLgCorHXBUy6p3nV1BoKQP5UBCNlN/qUgzv/DDWTTWSZe1+TFodNtmiV2BdfCuPTDm7IWkV/6wxdx+qMHNZkTIYQQQrRhc1lkLUkSedaasbKGTe7yLwapAjApGaNXZrA67WNinnIb9h9v1mZC7xFFEdd+3o9Mil3rvPoXn0BZjVubSRFCCCFEE82SVszpREbWAk5Lja3lzOv1uY28W/MQsttmBpYwenmaiRkMOpx6ugsms0HVufSfG0UmlWFir/7TT8Co8jwIIaSYUXIXIQWmXZLctT7vlyVvaInjOPT01TGxWDCBxbG1Ha4gpHCtTvtw4X/dlG12VNW7cfTxdvC8NoldsVAc5//3dWQllcRe+NpjeOnVxzWZEyGEEEK0w3GcrDVjMprflbuymVxetXohRCkr0z6MXJxiYkaTHsef6IROp+1ju/EbM1if32Bip1/pw6mX+7SZECGEEEI0U9HggdlmZGKh9fy5X69p8EBv0DGxhVGq3kWK18q0D7dfH2FiHAcce6IDDrdF1bmsz/sxN7zExE6+dAD7z3SqOg9CCCl2lNxFSIHZd7qDeZ1OZhBYC2s0m+1V1bnhLrMxsYkbc3lTppmQ3TA/soJLP7yDXJatKFFR7cSJJzrBa7QRk0qk8e7/voZknD2ZduLF/fjyH7+kWSUxQgghhGjLU8UmTyXy6JQ9AJgtRjglD6DXqTUjKXKxYBzXf8a2PMR7GzJWu0mbSb1nYyWEgXfZtiplNS786v/1cW0mRAghhBBN8TyPxi62NWNwPX/2JXR6HnVNXia2QK0ZSZEKrIRx9cf9sj23/cebUVXnVnUuQk7AzTeGmJjVYcZX/vQVVedBCCGlgJK7CCkw5bUe1LZWMLHVmXWNZrM9juPQtY8t0xxai8C3ENRmQoTssvmRFVz/2aCsal5VvRsnn+mCTq/Nr1dREHH5R7cQDcSZeO/xVnz7rz8Hnqdf+4QQQkipklbuSuRZ5S4AqKhh5+iTVAwipJjksjlc/pG85eHew42olHwvqC2dTOPyj9kW7xzH4dv/8nOwOdWtAkAIIYSQ/NHY/f9n767j4zqv/I9/Z0bMzLIsy5KZGWMMY8PUJE3bpIzbdruFbBfK23a73W13f+V2u8VA0yQNk5klWZLFzMwwM/f3hxvb1yM5ji3pzmg+79fLL2fOveOcOLY05z7neY65ucubTu6SpMwc82jGnrZ+9bb3W5QNMDX6uwe178njHpvO85akKWd+yrTnU3a0Wn2dA6bYnZ+8SjGJkdOeCwDMdKzyAj7o/KNMG8pbLMpkYmmz4hQead5pXJVfb1E2wORpLG/V0b8WecQz5yRow448BQQ4xnnX9Cg+UKG2evMiaOa8FH3yP9+twOAAi7ICAADeIC7F3Cwy2DtkUSYTO380Y3tDt0aHxyzKBpha+a+Ueiw2ps+OU+6i1AneMT0Mw9Ch5wo02GtuAL3hfVdo4boci7ICAADeYPaC8zZ0t3tXc1dicpRCwsyjI+s4vQszyMjgqPY9cVyjQ+Y6eVZOghatzJz2fAZ6h1S8v8IUy16crl13r5/2XADAH9DcBfig1bsWmV73tPWp18sKKZvdppwF5l0CTRVtGvay8S/AO9FS3aFDzxR6HHecsyBFq7fkWHoyVmtth4r3l5ticSnR+tz/ew+76wEAgFJmx5te93UNTHCndZJSo2S3nx0hbbgNtVS1W5gRMDVqTjaq5mSjKRYZHapVm3IsH6N+6lClmqvMp4PPX52tOz5xpUUZAQAAb5F13sldfV0Dco65LMrGk81uU+Ycc91Tf6rZ41ku4IucYy7tf/KEBrrNG7WS0qK1cuMcS+qIE68Wy+U8+zXAZrPp4X+8RXYH7QcAMBX46gr4oAVrshWbbN7VXneqyaJsJjYrJ1GOcz7EGW5DNSe9L0/gYrTXd+nAn/M9RjHOXZiipWuzLF2EGeof1sFnT5hidoddH/3uPR6ndAAAAP+Ulm0e7d7fNejxucZqgUEBSkozf3ZpLPeuEfTA5epp69OJl0+ZYo4Au9Ztz1NAoHWnAEtSa12HTu4tM8WiEyL0ke/eI4eFJxQDAADvkJGXYn4Gaki9Hd616XzWHPNoxqG+EXU0dFuTDDBJ3G63Dj1ToK6WXlM8Oi5M67bnWdJM1VjRqqaKVlNs593rlLN0+k8QAwB/QXMX4IPsDrs2XLfMFKstafK6HShBwQHKyDbvlKkuaPC6RSTg7XS39mr/Uyfkdpnn2M/OS9KSNdY2dhluQ4eezdfI4Kgpfucnr9K8VbOtSQoAAHid1Dnm5i63y63BPu8bzZieFWd63VLdIeeo06JsgMk1NuLUwb8UeNQVKzfOUVSMtaftDvUP6+AzJ6RzynWb3aaPfOcexZ23uQwAAPinkLAgpWabm6d62ryruSs6LlxRsWGmGKMZ4csMw9CJl0+pparDFA8LD9LGXfMVaMEGEeeYSydeLTLFouIjdOcnr5r2XADAn9DcBfiozTeuML0e7B1SZ1O3NclcQPa8ZNProb5htdR0THA34H36uwa19/Hjco6ajxjPnJOgFeuzLR+bUrS/XG31nabY8ivm6/r3brUoIwAA4I2i4yMUFhliinnjaMbUWXGmz1dul1st1dQP8H2G29Dh5wo9xqjMmZ+szPNOmJhubpdbB/5ywmPDyB2fuEqL1udYlBUAAPBGs84bzdjV0mNRJhM7//SuhtJWuZzuCe4GvFvZ4RrVFJpHugcFB2jT7gUKDQuyJqcjVRrsHTbF7vvcdYqIDpvgHQCAyUBzF+CjZi9MU9p5u+9rS7xv5GFsQrhi4sNNseqCBouyAd6Zof5h7fnTMY0OjZniqbNitWpzjmx2axu7WmraVXKgwhSLT43WB795h+x2vsUDAICzbDabUs8bzdjX6X3NXUHBAUpMNZ8S1FjeOsHdgO84+Wa5x2772IRwLVmTZVFGZxXuKVVHY5cptmLbfN34/issyggAAHirOYszTK9bqtu9bqJIxhzzNBHnqFNtdZ0T3A14r4bSFhXtMT//tzts2rBjniItOvl3qH9Ypw5VmWLz12Rr800rJngHAGCysPIL+CibzaZNNyw3xRpKmz3GO1jNZrMpe16SKdZc1e7R1Q94m9HhMe19/LiG+sx/VhNTorR2a67sFjd2DfUP69Cz+aaYI8Cuj37vXkXGhk/wLgAA4M/O3xzS74Und0lS2vmjGas65HK6Jrgb8H7VhY0qP1prigUFB2jdtjw5HNY+mmsob1HZkWpTLCE9Vh/85p1sGAEAAB6Wbc0zvR7sG1ZfR79F2YwvLDxYcUkRplhjGRtG4Fs6m3p05K9FHvE1W3MVnxxpQUanndxTaqrPbXabHvzSTZZPOAEAfxBgdQIALt3GG5br99974czrkaFRtdZ1KGV24gXeNf0ysxNUcKhWzrG/feAzpOrCBi3cyHgHeCfnmEv7nzyhvg7zgmdMfLjW78iTI8DaRQ63262Dz5zQyJB5bMpdn7paeSus3/kPazkcDs2bN88jBgCAx8ld3trclRmr4/vO7gR2jrnUWtup1DneVecAF6O9vksnXi4xxWx2m9bvyFNYRLBFWZ3W1zWgw38tMMUCAh36+PfvU0QMI1X8EbUEAODtZOalKD41Wh1NZ8cxNlW1KSrBumaT8WRkxauz9WzTWVNFm9wut+wWN9YDF2OgZ0gH/nzC4zCHxatnKf28zVDTqaulRzVF5hGR229fo6zzxrXCf1FPAFOL5i7Ah6VkJShnaaYq8uvOxOqKm7yuuSsg0KFZOQmqLGk5E6spbNT8ddkUU/A6bpdbB58uUOc5DygkKSIqRJt2z1dgkPXfOov3lau9wTw2ZeWOBbru4a0WZQRvEhsbq3379lmdBgDAC2XkJpted7f2yTAMr9thGxIWpPjkSHW09J2JNZa10dwFnzPQPagDT+fLcJtHFa3ckK2E5KgJ3jU9xkbGtO+po3KOOk3xd3/hRuUsyZjgXZjpqCUAAG/HZrNpxbYFevE3+8/EmqvaNG/NHAuz8pQ2O075h2rOvB4bcaqttlPJ2QkWZgW8vbERp/Y/eUIjg2Om+Oy8JOUusq6JyjAMHX+l2BQLDQ/W7R+/0qKM4I2oJ4CpRVcF4OM232ieY91Q0XL2hCwvkp1nHs04Mjiqpsp2i7IBxmcYho4+X6TWmg5TPCQsSJuvXKDgkECLMjurta5DJQcrTbGEtBh94Ot3eN3CLAAA8C7Zi9JMr8dGxjTYO2RRNhd2/m7k5so2rxtBD1zI2IhT+548obFhc/NU7uJUZeUmTfCu6WG4DR18Nl99nebT+zbduEK77l5nUVYAAMBXrNg23/S6o7Fbo8NjE9xtjbDwYMUlmkczNlW0WZQNcHHcLrcO/qXA43N6Ulq0lq+fbenz/9riRnU2dZtiN31gu2K87NQ+AJjJaO4CfNz6a5fKZj/7gc415lJTpffNj4+OC/eYc19d0GBRNoAnwzCU/8op1Z9qMcWDggO0+cr5lo9MkU4vEB153jw2xRFg10e/ew9jUwAAwNuKT41RRKz5M0N3a69F2VxY2nnNXWMjTjaHwGe43W4deqZA/V2DpnhKZqwWr5xlUVZnndxbpuYq8+Jm1vxUvfef3sWGEQAA8LYWbchRYPDZ6QaGYaipwvvWJM6vKZoq22UYxgR3A9YyDEP5r5aqrbbTFI+MCdW6bbmy261b0h8bGVPBG6dMsZSseF374BaLMgIA/0RzF+DjYhIjtWTjXFOsrqRxgrutNWeeeQxMW22nx8NuwAqGYajgtVJV5ZsbDh0Bdm3cOU9RXtI4lf9asQZ7h02xuz59jXJXZFmUEQAA8CU2m03ZC9NNsa4W72zuGm+nfeXxugnuBrxL4etlaq0xL8pExYZpzda5ps1ZVqg71aRTh8wnAUfGhutTP3xAIWFBFmUFAAB8SXBokJZuzjPF6suaLcpmYmmzYk2vRwZH1dXknfUPUHGszuNAhOCQQG3cOU+BQQETvGt6FO+v0MjgqCl2/z/cYGryBABMPZq7gBlg4w3m0YzN1e0aGRqd4G7rpGfFK+i8D3vVhZzeBWudbuwqU+XxelPcZrdp/fY8xSV5x7HCjRWtqj5p/vuycN0cXfvQZosyAgAAvih7sbm5y1tP7pKkOfPNm0M6GrrV3dpnUTbAxak8Ue9RW5xZlAl0WJTVad2tveOeBPzx79+nxPTYCd4FAADgad01S0yvW2ravW40Y0RUqCJjQk0xRjPCGzVVtKnw9TJTzO6wacOOPIVHhliU1Wm9Hf0qP15jiq3cvkArty+wKCMA8F80dwEzwJrdi8zHILsNNZS1XOAd1nAE2JU1N9EUqz3ZJJfTZVFG8HeGYajwjXKPUyBsNmnN1rlKTo+xJrHzjAyN6uiLhaZYaHiwHv3a7ZYexwwAAHxP9qLzT+7qkdvltiibC8uYHa/g0EBTrGhPOaNU4LXqTzUr/xXzuBK73ab1O/IsH/M+NurU/r8cl8tp/vv+wBdu1MJ1cyzKCgAA+KpVOxYo4JzGdcNtqKnSC0cznnd6V2NFK/UEvEp3S68OP1voEV+9Za7lG88Nw9DxV4pluM/+nQkIdOj+f7jewqwAwH9xXiIwA4RFhmjljgU68OzZHbi1xY2aszTTwqzGNzsvSWUnm868Hh0eU11xs2YvSb/Au4CpUby3QhVHa83BvzV2ZcyOtyapceS/VjLOscfXKzEjzqKM4M0GBgb0/e9/3xT7yEc+ovDwcIsyAgB4k5zzaoTR4TE1V7crLSfJoowmZnfYNWdesorPOQWptaZTtUVNylqUZmFmgKfmqnYd+WuRR3zlpjmK94LTgI+/XKSB7kFTbOeda7XrnvUWZQRvRC0BALhYYZGhWrolT0dfLj4Tqy9tVtZC73rOnzorTqfyG8+8HugeUn/XoCLj+N4G6w31DWv/Uyc8NmAsXJnpFesTjeUtaqvrMMWuf+8VSslKsCgjeDvqCWBq0dwFzBCbblhhau7qaOxSb0e/ouIjLMzKU2R0qBJTo9R2zmz74n2VypiXrACL54bDv5w6WKXSQ+bjhGWT1myZq4xs7ylO2uo7VVvcaIqt2DZf225bY1FG8HZDQ0P6xje+YYq9973vpYACAEiSEtNjlbt8lsqOn21wry6s98rmLknKWZCiqtIWDQ+eHfFS8FqpEmfFKczi8RTAW9rru3Tw6QLTjnZJmr8sXbNyEid41/SpKWrwqCnmLsvUg1+6STabzaKs4I2oJQAA78T6a5aamrtaa9s1NjKmwODAC7xresXGhyskLEjD52ycbSpvU+RavrfBWs5Rp/Y9eULDA+ZN3bPmJmreEus3MznHXMp/rcQUi0+N1k2PbrcoI/gC6glgajHLCZghVlwxT1Hn7TapPlk/wd3Wyjvvg+nI4KjKjtROcDcw+cqP1qp4b6VHfPXmHGXO8Z7GLrfLrWMvmXf/h0WG6H3/ciuLMAAA4JJtu93cJN5c1aah/mGLsrmwoOAArdhgHhnnHHXp+IvFjFOBV+hu6dX+p054jDfNWZCiBcszLMrqrP7uAR1/2VxThEYE6yPfuYcNVgAA4LKs2mkezeh2GWqs8K7RjDabzWM0Y1Nlm0XZAKcZbkOHnj2p3vZ+UzwhOVIrN2R7xbP/U4cqNdhnfk5w399fr5CwIIsyAgDQ3AXMEAFBAbri1tWmWGO5d86PT06LUXJ6tClWfqTGaxeUMLNUnahX4etlHvGVm+Z4xa76c5UdrVZfp7nAu/OTVyk2KcqijAAAwEyw/pqlCg49u5veMAyPU328SWpmrGblmBvwW2s6VXPOuHfACn2dA9r7xHE5R12m+KycBC1dm2X5oozL6dL+p4/LOWbO733/fKuSMhnxDgAALk9YZKiWbs4zxRrKmi3KZmKp5zV3dTX3aqh/xKJsAKnwjTK1VLWbYhFRIVq/Y57sDuuX7vu7B1V6uMoUW7g+R+uuXmJRRgAAieYuYEbZcN0y0+uBnkH1dQ5YlM2FLVmdJZ3znNvldI97khIwmary63XilVMe8WXrZmt2rneNIhrsHVLx/gpTLHtRunbdvd6ijAAAwEwRFhmi9dcsNcWqT9Z75caQtyxdO1shYebxLoWvl3rsJAamy2DvkPb+6ZhGh8ZM8dRZsVq5Kcfyxi5JOvZykXra+kyxbbet9nh2AAAAcKnWXWNu9mipOT2a0ZskJkcp8JwTxiSpmdO7YJGqE/WqOFZnigUFB2jjrnkKCvaOk3XzXysxnUxsd9j14Jdu9IoaBwD8Gc1dwAwye2Ga4pLNJ/o0VXrXMchviYoNU/Z5zTS1RU3qbu2b4B3A5akuaNCJlz0buxavnqWcBSkWZHRhJ14rkct5doe9zWbTe/7xFq/YuQMAAHzf+aMZ+7sG1dHYbU0yF4HxjPAmwwMj2vOnYx4nPiSmRmnt1lzZ7dYvelQV1qvmZIMplj43SQ988SaLMgIAADPRqp0L5ThvNGN9WYuFGXmyO+xKyYwxxepPeVeO8A/NVe3Kf7XUFLPZbVq/I08RUaEWZWXWVNnqsa541f0blZnrfWsoAOBvWCEGZhCbzaaVOxeaYk1eNuP+XAtWZCggwPxlqPD1MhZnMOmqCxp0/KUSj/iC5RnKW5xmQUYX1ljRqsZy8wOGnXet09xlmRZlBAAAZpp5q2YrNds86rC6sN6ibC4O4xnhDfo6B/TmH45qoHvIFI9NiND6HfPkCLD+UVt3a6+Ov1xkioWEB+kT/3G/QsKCLMoKAADMROFRoVq+dZ4pVuOFdUVaVrzpdUdDt/q7By3KBv6ora5LB58u8Fj/WrVpjhLOO7TBKi6nSydeLTbFouIjdNtHd1mUEQDgXNY/cQIwqVad19zV0dSt4UHvnB8fEhqkvKXpplh7fZeaz5s1DlyO6sLGcRu75i9L14LlGRZkdGFjo06PhZiouHDd+amrLMoIAADMRDabTdtuNZ/eVV/arLERp0UZXZyJxjOyMIPp0FTZptf+75D6u8x/3qJiQrVp93yPcT9WGB0e0/6nj5nGqEjS+//1NqXneNcoegAAMDNccetq0+uOpm71dvRblM34UjNiPEbe1RaxSQTTo7OpRweeOuHxGX3e0nTNykm0KCtPpUeqNdBj3sRyz2euVVikd5wqBgD+juYuYIZZtC5HIeHmnbjNVd47Pz53YapCz8v35BvlHh9ygUtRc7JRx18s9oh7a2OXJJ3cU6ah/mFT7N7PXaeI6DCLMgIAADPV1netMo18djldqi/17gWOoOAArdzoOZ5x3+PHNTI4alFWmOkMw1DJ/kodeCpfzlGX6Vp4ZLA2XbnAY7HQCoZh6PBf8z0WZK5+9yZtuHaZRVkBAICZbsW2+YqKjzDFzh8PbTW7w67MOeZTgOuKmmS4mSKCqdXT1qd9TxyXc8xcR8zKSdDCFd6zRjHQO6RTBytMsbyVWdpy8wqLMgIAnI/mLmCGCQwO0NJNeaaYN49mdATYtWiledRcf9egqgu9q/iD76k52ahjL3g2ds1berqxy2azWZDVhXU2d6vieI0ptnjjXG25eaVFGQEAgJksJjFSK7bNN8WqT3rfCJXzpWTEatZc8+7mgZ4h7XvyuJyj3n3yGHzP2IhTB58uUMn+Ko9r0XFh2nLVQoV6yajD0kNVaqo0b+7KXTFL9372WosyAgAA/iAg0KGt5z2/rClu8LoN3Fm55hpiqH9ErbWdFmUDf9DXOaA9fzrmcUJ2WlacVm7K8ao1ivzXSuRynv07a7Pb9NCXb5bdTisBAHgLviIDM9DK80YzttR0yOV0TXC39TLnJCgmPtwUK9lfpdHhMYsygq+buLErTQtXeGdjl9vl1tEXTppigcEBeu9X3uWV+QIAgJlh2+3m0YydTT1eN0JlPMvWzVZ0nPlk0+6WPh38S4HXLSLBd/V1Dui1/zukpgrP07AzsuN1xbWLFBYRbEFmnlrrOlS4t9QUi4wN18e+d68Cgqw/VQwAAMxs224zj2YcGRxVc7V3TRSJiQv3WIeoLWq0KBvMdAM9Q9rzp2MaHTKvcyWnx2jt1rmy273nmX9zdZsay1tMsd33rNfshWkWZQQAGA/NXcAMtOKKebKd88HQ5XSptbbDwowuzGazaemaLFNsdGhMpYeqrUkIPm2ixq68JWlauCLTaxulyo5Wq6e9zxS77SO7lZwVb1FGAADAHyzfOk/RCeYRKtWF3n96V2CgQ5t2zfdorGmt6dSxF4tlGIxXweVpqmzTa/93SP1dg+YLNmnJmiyt2TpXAQEOa5I7z1D/sA4+c0I654+9zWbTR75zt+JTYyzLCwAA+I/0ucnKXTHLFPPG6RxZ550A3FTRxiZzTLqh/hHt+dMxDfePmOIJyZFavz1Pdof3LM+7nG6deMW8nhIZG67bP36lRRkBACbiPd89AEyaqPgI5a00N0udP5rB2ySkRCltVqwpVnm8Tt2tfRO8A/BUXdAwYWPXopXe29jV3z2oon3lptis+am69j1bLMoIAAD4i4BAh7bessoUqy1u9InTr0LCgrRp93wFBZtPJaorblbJ/kqLsoKvGxt16viLxTrwVL6co+YTsIOCA7R59wLlLkr1mtrC7XLrwF+Oa2Rw1BS/7WO7tWRTrkVZAQAAf7TtNvOpwM1VbRoeGJngbmtkzkkwnZjkdhmqP9VsYUaYaQa6B7X3T0c12DNkiscmhGvDrvlyBHjX0nzZ0Sr1d5s3tNz9d1crIjpsgncAAKziXd9BAEyaldsXmF43VbZ6/e71xatnmR6Qu12GDv2lgJ0zuChV+fU6/lKJRzxvcapXN3YZhqFjL500LaDabDa9759vVUCgd5wEAAAAZrbzF2FGhkZVWVBnUTbvTGR0qDbumufxgPzUgWo1V7VblBV8VVtdp17+5QFVF3qO54mOC9P26xcrKS3agswmdnJvmToau02x5VfM180f2G5NQgAAwG+tv2apgkMDz7w2DEM1Rd51eldQcIBSz9tkXnOyyaJsMNPUlTTrlf89qL5Oc7NUdGyYNu1eoEAve94/2DekkgPmjVFzl2XqiltXT/AOAICVaO4CZqhVOxeaXg8PjKi7pdeibC5ORFSo5i5KMcUGeoZ07AXGquDCqk7U68TLpzzi85amadGqWV7b2CWdPhnj/LGpV92/UXOXZVqUEQAA8DdpcxK1YO0cU6x4X7nGRnxjk0VcYqTWXpGr8z/yHXnupAZ7h8Z/E3AO55hLJ145pT1/PKahvmGP6xnZ8bri2kUKjwyxILuJNVe3qfRwlSmWkB6rD33rTtntPPIDAADTKywyROuvWWqKVZ+s97pn+1lzk0yve1r71FbXZVE2mAmco04dfb5IR5476XH6b0RUiDZd6XnitDfIf+2UXM6z+dpsNj345ZupJQDAS/HVGZih0uYkKmV2ginWVNlqUTYXb9GKTMUlRphiTRVtqi1i9wzGV1fSrBOveDZ2zV+WroUrvPfELun0qRj5r5tPG4tLidYdn7jKoowwE9hsNsXHx5t+ePPfAwCAd7jj41eaXo8Oj6nkoO+MNkzNjNWSNebR9GMjTh36S6FcTu8fMQnrdDR065VfHVDViXqPa44Au5avz9aarXMVEOBdu+yH+od1+LkCU8wR6NDHv3+fImIYoYJLQy0BALhc558K3N81qLa6TouyGV9yWrRCw4JMseMvFcs55prgHcDEulv79OpvDo27hhURFaLNVy1QSGjQOO+0VktNuxrKzCNJd9y5VjlLMizKCDMB9QQwtbyvTRjApLDZbFq5Y4Ge+ckbZ2JtDd5VRI3H7rBr7bZcvfxUgUZHnGfiBa+VKSkrXqERwRZmB2/TUtWuo88XecQXLM/QguXeX4QUvlmq0SHziRjveexm/pzjssTHx6usrMzqNAAAPmb+mmyt2b1Ih144eSZWfqxGOctmKSwq1MLMLl7OghR1tPSpoeZs3dPV0qvCN8q0bPs8CzODN3KOuVS8t0IVx8YfQZqQHKlVm3O87rQuSTLchg49l6+RoVFT/N7PXMtiDC4LtQQA4HLNWz1baXMS1VjZdiZWcbxGSbPiLczKzGa3KXdxqvIP1pyJDXQPqXhfpZZszbUwM/gSwzBUebxeJ98sk9vleTrdrLmJWr5utgK8bBSjJLmcLp14tdgUi4gJ052fZNM5Lg/1BDC1OLkLmMEWrcsxve5s6jEdseqtwsKDtWqzOXfnqFMnXi7xuiOcYZ2Oxm4d/EuBDLf5z4SvNHY1VbaqutB8OsDaKxd7jFQFAACYLnf/3TVyBJx9TOB2uXVyr+88lLPZbFq5aY4ioszNOFUn6lVX0jzBu+CPmirb9NIv9o/b2OVw2LV0bZa2XL3QKxu7JKnkYIXHCRirdi7U1Q9ssigjAACA02w2m668b6Mp1ljZqgEvG5eeMz/FY4JIxdFadTb1WJQRfEl/16D2PXFCBa+VejR2BQQ6tHrLXK3enOOVjV2GYej4y0Xq6xwwxe/85FWKjA23KCsAwMWguQuYweatnm067tLtcqur2TeKk9TMWGXOMY+VbK5sV0Npi0UZwZu01nRo75+OeYzYyVmQovnL0i3K6uIN9g3r8F/NI1RCwoP07i/cYFFGAAAAUmp2onbevd4Uqy1uVFeLb9QQkhQYFKB123LlcJgfdxx/sVg9bX0WZQVvMdg7rAN/zteBp/I11DfscT0uMUI7blyiuQtTvXZ0RFt9p4r2l5ticSnReuSrt3ltzgAAwL9svWWVQsPPmUxgSFX5tdYlNA6b3aZVm3Jkt5s/Px17ocgnNsjDGs5Rp06+Ua6XfrlfrTUdHtdj4sO144YlmpWTMM67vUNVfp2qTzaYYtmL07XjjrUWZQQAuFg0dwEzWHhUqGbNTzXF2hu6LMrmnVu6NkvBIYGmWP6rpRoZHJ3gHfAHjeWt2v/UCY/Grsw5CVq6NsvrFzTcbrcOPnNCo8PmcYx3/921ik+NsSYpAACAv7n1Qzs9RkQXvHHKp07QjY4L1/IN2aaYy+nWwb8UeHwGg39wu9wqO1Kjl365X00VbR7X7XabFq+epSuuWaTIaO8dQzoyNKqDz5yQzvnraHfY9ZHv3M0uewAA4DVCI4K15V2rTLGqgnqNjTgtymh8kTGhHhMg+joHdfLN8gneAX/WUtWul355QGVHajymiUhS7qJUbbt2kcdJ0t6kq6VHx88bxxgcFqQPfP0O2R20DACAt+MrNTDDLVhjXtRoq++c4E7vExwSqOXrZ5tio0Njyn+11JqEYLnaoiYd/EuBx1HHKZmxWrV5jtc3dklS0b5ydTSamyzXXrlYu+9ZP8E7AAAApk9UfIRuenS7KdZW16nmKs+GGG+WNTdR2fOSTLGB7iEdfb7IpxrVcPk6m3r06m8O6eQb5XKNeZ7CkJASpZ03LlXe4jTZ7N5bTxiGocN/LdDwwIgpfvvHdmv+6uwJ3gUAAGCNK+/dYHo9Ojym4v3e1zSVuzhNMfHmJvnK4/WqLW6yKCN4m5HBUR1+tlD7njwx7um/wSGB2rhrvpasyfLqBinnmFMHnz3h0Zj2yFdvU2ZeikVZAQDeCe/9LgNgUsw/r7mro6lbbpd7gru9T/rseKVlxZliDaUt4+62xsxWcaxOR58vMu1Sl6SM7Hit354ru937v6W11LTr1MFKUywxI1bvZ4QKAADwItc8sFnxqdGmWMEbpXK7faeOkKSla2crNsG8UNNc2a6ywzUWZYTpNDo0pmMvFuv13x5Wb3u/x/XgkACt3pKjLVctUGSM957W9Zayo9UeTZaLN87VjY9ssyYhAACAC0jPSdLKHQtMsfJjNepp965R6Xa7Tas2e45nPP5iibpaei3KCt7AMAzVnGzUiz/fp/pTLR7XbXabchel6sp3LVNKRsz0J/gOnXi1RP1dg6bY9Q9v1YZrl1mUEQDgnQqwOgEAU+v8k7tcYy51t/UqLiXGmoQuwfJ1s9Xe3KvRc45tPv5SieJSoxUcFmRhZpgOhmHo1MFqleyr9LiWnZek5euzvXqH/VuG+od16Nl8U8wRYNdHv3OPwqO8fzEJvmNoaEi//vWvTbF7771XoaH8OQMAXJygkEDd8Ymr9F+f+d2ZWF9nv2pONih7SaaFmb0zDodd67bl6eU/F5hqiaK9FYpNjlLirLgLvBu+6vQiTJOK3iyfcAzn7LwkLV41S0HBvvFYrKWmXYVvmE+wjk6I0Ie+dZdPbHKB76CWAABMpvs/f73y3yiV82+npxqGoeMvF2nr7Wu9aqNrdGyYVmzI1pE9Z58/u11uHfxzvrbds5Y1CD/U3zWo4y+VqL2+a9zriSlRWr4h26tHup+roaxZ1YX1pljO0gzd+amrLcoIMxX1BDC1bAbzCKZMV9f43/SB6fbpq7+thorWM68Xb5mneT42tqG2ok2H36gwxRIzY7XxlhU+0diDS2MYhgrfKFfF0VqPa3mLU7Vo1SyvehAwEcNt6I0/HVJbnXks6n1/f52ue89Wi7LCTNXe3q68vDxTrLS0VAkJCRZlBEy+2NhYq1OYctQSsJrb7dbnb/6+aoobz8SCw4J09UNbFRDkGw0xb2lt7NGbLxSbToANCg3UtnvWKiwyxLrEMOm6W/uU/8opdTb1jHs96m8Ld/FJkdOc2aXr7ezXq/+3X2PnNCjabDb9/U8f1pJNuRZmhpmIWgL+wB9qCYl6At7j9999Xn/6wUum2Jqrl2rWgjSLMprYiQPVqihuNsViU6K04ablCgoNtCgrTCe3y62ywzU6dbB63Ak4gUEOLVmTpay5iT6xLiFJg31DevGXezU2cnbjS0h4kL765MeUksVnPEwu6gnMdFbXEmzvA/zA+aMZ2+s7J7jTe2XOSfA42ratrkslB6qsSQhTbmRwVAf+nD9uY9eilZlavDrLZwqo4gMVHo1dK7cv0LUPbbEoIwAAgAuz2+2673PXmWIjg6MqPeJ7n7+T0qK1cIX5xLHRoTEd+kuBXE7fGjWJ8Y2NOJX/aqle/c3BcRu7HAF2LV49SztuWOxTjV0jQ6Pa+8RRU2OXJN3ywR00dgEAAJ9w06PblZhhXgjNf73E1GjiLZasmaWEZPNnxa7mXr3220Ma6B6c4F2YKToau/XKrw+qeF/luI1dGbPjtfuWZZqdm+Qz6xKG29Dh5wo8/r49+MWbaOwCAB9EcxfgB84fzdjR2CXD7VuH9tlsNq3clKOQMPMOmVMHqtRa02FRVpgqrTUdevlXB9Rc2e5xbdn62Zq3NN2CrC5Na12HiveXm2JxKdF69Ou3+0wRCAAA/NPijXO1/Ir5pljp4WoN9Q9blNGlm7ckTSmZ5kWlruZeFbxWKg40912GYai2qEkv/WKfKo/XmU5ne0taVpx237JMeYvTfGqEodvl1v4/H9NAj3khce1Vi3XrR3dZlBUAAMA7ExQSqAe+cKMpNjI4qqJ95RO8wzp2u11rt+UpNNw8hnGge0iv/fbwhKfDwreNjTh14uUSvfG7I+rrHPC4HhoepA0752nttlyFhPrWiM5ThyrVdt5hDxuuW6qt71plUUYAgMvhO0+1AFyy80/uGhtxqqejz6JsLl1IaKDWXpGr8/thDj93UkN9vrfABE8up1sFr5dp7+PHNTI4arpms0mrt+QoZ36KRdm9cwM9gzr4zAlTzO6w66PfvUeRseEWZQUAAHDx7vnsNaYx6C6nS8X7Ky7wDu9ks9m0enOOwiODTfHqggadOlhtTVK4LN2tvXrjd0d09PkiDQ+MelwPjwzWxl3ztX57nsLCg8f5FbyXYRg69nKR2hvMI7WyF6frg9+806ea1AAAAFbtXKiV2xeYYuXHa9Td1mtRRhMLCQ3Upl3zFRpmbuIZHRrTm384qsbyVosyw1RoqmjTS7/Yr6r8Bs+LNmnuolTtvnmZUjN9a6SvYRg6dahSJ/eWmeIJaTF6+CvvYtM5APgongYBfiA+NUZJmXGmmC+OZpSkhOQoLVo1yxQbHRrToWcKxz0qF76jr3NAr//20LhjGINDArVx13zNykm0ILNLMzI0qjcfP+LRpHbHJ67UvFWzrUkKAADgHcrMTdH229eYYjVFDRoZ8mym8XZBwQFatz1PDof5UUjJvkoavHzI6PCYTrxcold/c2jc0xPsdpsWLM/QrpuWKSUjZvoTnASVJ2pVXVhvisUlR+nTP3xQwT52WgAAAIAkPfDFGxUYHHA2YEjHXiryylN0o2LDtO26xYqODTPF3S63Dj5doPJxnl/Dt4wMjurQMwU68Od8DQ+MeFyPjgvT9usWa+maLAUEOizI8NIZhqH810pU+GapKW6z2/Shb92l8KhQizIDAFwumrsAP3H+aMbWWt8dZZi7KNVjp0RnU49O7vG9EwRwutioyq/Xq/97UD1t/R7Xk9NjtPOmJUpOj5n+5C6Ry+nS3iePqr/LfIzz0i15uuF9V1iUFQAAwKW59SO75Tjngbbb5fZoPPEVMXHhWrV5jke8eG+FSg9VT39CuGiGYai6sEEv/nzf6Z3146wDJmfEaNfNy7RgeYYcAb75yKutrkMnXi0xxYJDA/XpHz2ouOQoi7ICAAC4PEmZcbrpke2mWGdTt6oK6izK6MJCw4O09dpFSk6P9rhW+HqZ8l89JcPtfY1puDDDMFRb3KQXf7FPDaWep7A5AuxasnqWtl+/RLEJERZkeHlcTrcOPnNC5cdqPK7d8YmrPKb8AAB8i28+6QLwji3aONf0urWuUy6nb550ZbPZtGpzjsIizKM1Ko7WqqG0xaKscCmGB0a0/8kTOvHyKY8/j3a7TcvWzdbGXfN8apa92326gOps6jbFM3KT9dHv3sMIFQAA4HPikqO0/uolpljFiVq53b5ZT2RkJ2j5+tke8aI9FSo74vkQHNbrau7V6/93WMdfLNHo0JjH9fDIYG3YOU8bd85TRFSIBRlOjoGeQe3/y3GPEyw+8PU7lL0o3aKsAAAAJscN779CKVnxpljhm6Ua6h+2KKMLCwx0aMPOeZqdm+RxrfJ4vfY9cXzcU5/gnQZ7h7TvieM6+tcijQ07Pa4npUVr101Llbs4TXa7740tHBsZ054nDqu+tNnj2n1/f51ufnT7OO8CAPgSVpgBP7Fsc55pjrZrzKW2Ot89vSsoOEDrtuV6fMg+8tcidTR2W5MU3pGmija9/KsDaqn2/HMYFROq7TcsUc6CFJ+a/24Yho69VKTGCvOun7iUaH3ux+/hyGMAAOCzrn73JtProb5hNZZ77nT2FXPmp2jZutke8ZNvlDNmxYv0dw3q4F8K9Nr/HVJXS6/HdYfDroUrMrXrpmVKzYz1qdrhfM5Rp/b9+ZhH89otH9yhddcstSgrAACAyRMUHKiHv/IuU2xsxKn810omeIf17Ha7VmzM1sKVmR7XWms79cqvD6q1xnfXWfyB2+VW+dFavfTLA2qt6fS4Hhjk0KrNOdq0e77CI31zo8hQ/7Be+/1BtdWZ//scgQ59+N/u1nXv2WpRZgCAyURzF+AnouIjNHeZuQCpO9VkUTaTIzYhQkvXzjbF3C639j1xXK21nh/S4R2co04de7FYB/6cP+6u+znzk7X9+iWKjg2zILvLU7Sv3GNEUVhkiD734/coPjXGmqQAAAAmwdzlszzqifJj1dYkM0lyFqRo6dosj3jh62WqOOad42H8xfDAiE68XKKXfrlfjWXjNxGmZcVp9y3LNH9Zus+OYHyL4TZ04JkT6mnrM8VX7lig2z6226KsAAAAJt/ijXO15eaVplh9abOaqtosyujt2Ww2zV+arjVb53psNh8ZHNXex4/r5Bvlcrt882Tjmaytrkuv/O9BFb5eJteYy+N6+uzTNUXW3ESf3SjS29GvV397wKOWCAkP0mf/5yFtumG5NYkBACadbz/9AvCObLhumel1Y3mLnON8oPUl2fOSNDvPfCyyc9SlfU8cV12J5/GzsFZnU49e+d+Dqils9LgWEhqoDTvnafn6bJ9cnKk4XqOSAxWmWGBQgD71Xw8oMy/FoqwAAAAmz9UPbDa97mjsVldLj0XZTI65C1O1ZI1ng1fBa6UqO1LjMR4PU2tsxKnifRV64ad7VZXfIMPt+fsfERWiTbvna/32PIVFBFuQ5eQyDEMnXitW83kLmuk5SfrQt+5irDsAAJhx7vvcdYqIMW/sPf7ySTnHPEfleZPMOQnafNUChYQFelwrO1KjN353RAM9QxZkhvMN9Q/r0DOF2vPHo+rrGPC4HhIaqPXb87RuW55CQoMsyPDyuV1ulRys0Eu/3qPBXvOfu+iECH3p149qyaZci7IDAEwFnhABfmT9tUtlO2dniXPMpeZK3x2lIp3eNbN8fbZSMmJMccNt6MhzJ1V2mAUZb+ByulWyv/J0gdvtWeCmZcVp501LlZoZa0F2l6/+VJOOv1JsitnsNn343+7WwnVzLMoKAABgcq27eolik6NMsfJjNRZlM3lyF6Vq8epZHvGTb5Rr3xPHNdQ/YkFW/sXldKn8aK1e+NlenTpQLZfT89SDwCCHFq+epZ03LVVyesz0JzlFyo/VqOK4eRRoREyYPvXDBxTmo2NhAAAALiQqPkL3fvZaU2ywd1hF+8otyujiJSRHaeeNSz3WIySpq6VXr/z6gBpKW6Y/MUg6vXGi/GitXvz5/gn/P8zOTdKum5cpLStumrObPN1tvXr5N/t0ck+Z3C7z+ldKVrz+8bcfVPaidIuyAwBMFZq7AD8SmxSlRetzTLHaEt8ezShJdrtN67blKX2254fxk2+Wq+C1Mhq8LGIYhhpKW/TSL/apZH+Vx/+HgAC7Vm6ao3XbchUc4rnjyRfUlzbr4HP5HvH3PHaz1l612IKMAAAApkZAoEO779lgitWdatLwgO83P+UtTtOiVZke8daaTr38y/2qP8UCzVRwOV2qOFar53+yV4Wvl407tt3usClvcZquunWF8hanyeGYOY+yGspblP9aiSkWEOjQp/7r3UqdnWBRVgAAAFPviltXa8Fa86bY8qM16uvyPGXJ2wSHnJ5AsXRNlmkzvXR6qsihZwpV+HqZ3G7GNE6nwb5h7X38+IQjGKPjwnTFtYu0ctMcBQUHWJDh5TMMQ6WHq/TKb/Z5jGGUpDlLMvTYbz+o5FnxFmQHAJhqvvndC8Al23TDchXuPbsDprm6TaPDowoK8c2jZ9/iCLBr7RW5yg+tUUWxeRxj5fE6jQyMaOVVC+UIcFiUof/pbOxR4Rtl6mwaf1RPXGKEVm+Zq4go392NXlfSqEPPFXg0rd320d3adfd6i7ICAACYOjvvXKvHf/CSxkZPj0wx3IYq82u1cIPvj3uYtyRdMqSTR+tM8bERpw4/W6jmyjYt3T5PQT66KcGbuJwuVeU3qOxwjUYGR8e/ySZlzU3UguUZCgv3/fGL5+ts7tGhZ094xB/9+h2avzrbgowAAACmj81m08NfuUWfu+G7cv6tEeetxpVVu71/w6zNZtPcRamKT4nSodfK1N87bLpefrRWPe39WnPtYuqHKeZ2uVV+tFanDlRNeALwwpWZmpOX7NGM50sG+4Z1+K/5aqvr9Lhms9t03UNbdPvHr+TPGwDMYDNnuyOAi7L2qsUKDDrb12m4DTWUzYxd6DabTUvXZo07UqWhrFV7Hz+u0WHPneCYXAM9Qzr0lwK9/rvD4zZ22WzSghUZ2nrNIp9u7KopatDB5/I9Grt237tB7/rwTouyAgAAmFpR8RHadONyU6wyv27ch+i+aN7SdG3aPV8hYZ4PxOtPtejlXx1Qa63nw3RcHOfY6fGLb53UNVFjV2pmrHbdtFSrNuXMyMaugZ5B7X3yiMffmzs/eZU23bDcmqQAAACmWXpOkq5+YLMpVlPUoMG+4Qne4X1i48O1/YYlmpXjeepqW22nXvvNIfV29FuQmX9oq+vSK78+oKI9FePWpLNzk3Tlu5YrZ36KTzd2NVe36cVf7hm3sStzXor+6Q8f1r2fu47GLgCY4WjuAvxMWGSoVmyfb4rVzYDRjG+x2U6P7Fi9Za7Hh/WOhm49/5M9KtpTMfHucFyyob5hFbxeppd+sU8NZa3j3hOfFKlt1y3WgmUZsvtwMVVdWK/Dfy2Qzpv2ufveDXrwSzfKZvPd/zYAAIC3c/4CzMjgqOpLZ05NkZweo103LVNGtucoi+H+Ee390zGdeOXUmRMG8PbeGr/4wk8v3NSVlBqtK65ZpA075ykqJmyas5weo8Nj2vPEEY/fg+23r9FNj263KCsAAABrXPeeLR6b0cuOVFmY0TsXGOjQ6i1ztWJDtseaxEDPkF7/v8NqLG+zKLuZaXhgRIefO6k9fzyqvs5Bj+shYUHactUCrdw0R8E+3vBUf6pJe588qrER88EFNptNN75/m/71Tx9RzpIMi7IDAEwnm3H+kSOYNF1dXVanAIzr4F8L9Z0P/9IUu+a92xQW6bunKI2ntbFH+18+Jec4OzYcAXZlLU7X3FWzZtx/93Trbu1V+dE6NZS2yHCP/y0lPDJYi1fNUlpWnM83PlXm1+rYS0Ue8asf2KR3/8MNPv/fBwC+IDY21uoUphy1BLzdP933IxUdqDzzOiYpSjvu2TDjPgvVVbbr+P4qjY16NnKFRYdqxa4FSsyc+V+TLpXb5VZtUZNOHajSUP/IhPclpUVrwbIMxSdHTmN208/tcuvNxw977LhfvHGuPvv/3qOAQIdFmQGA//CHWkKinoBv+cljT+iFX+8789oR4NA1771CwaFBFmZ1aTpa+rT/lVKNjDNBZP76bM1blz3jaqbp5HK6VV3QoOJ9FXKOU6NJUnZekhatmqWg4IBxr/uSqsJ6HX2x0GOTeXxqtD74zbu0cN0caxIDAD9ldS1Bc9cUooCCtxodGdOj6//J9HB9ydZ5yluVbWFWU6O7Y0B7XizRyND44xhtdptmLUhV7posRczQneFTwTAMNVe2q/xorToauie8LzDIofnLMjRnfrIcDt8/LLL8eI1OvFLsEb/+4a2657PXUpgDwDSxuoiaDtQS8HaHXjipf/vgL0yxK+5Yp4T0mff3c3BgREf3VKq10XPkuCRlL8vQ4i25cgT4/ufdyWIYhpoq2nTyjXIN9AxNeF9SWrQWLM9QfNLMbuqSTv+eHH6uQLUljaZ4Rm6y/vG3H1BYZKhFmQGAf/GHWkKinoBvaavv1Md3fVNu19lN2vPX5WjRxlwLs7p0gwMjOvBKqbraBzyupeYkavnO+QoO873GNSuNjTpVXdCgiqO1Gh4Y/xTgmPhwLd+QrbiEiGnObmqUHa1W/mslHvF1Vy/R+/7lVoVHUT8AwHSzupaguWsKUUDBm/3wc7/Xa388fOZ1TFKUdt670cKMps7gwIgKDtWoodpzHvm54tNjlJabpLS5SQqNCJ6m7HzLYO+QGsvbVJVfr4HuiRdpbDab5sxP1vxl6T5/7LF0eiHm1MFKndxb5nHt5g9s1x2fuIrGLgCYRlYXUdOBWgLezu1y6xO7vqnW+rOfsdNykrThxpUWZjV1DMNQZUmLCg/XyuXyPBk4NjlKa69folBOBVZf54DyXy1VW+3E9Zc/NXVJp//85L9WovJjNaZ4TGKkvvL7DylxBjZFAoC38odaQqKegO/5z7/7rd544uiZ12FRIbr6PVf47DNXl9OtY/sqVVvR7nEtIMiheWuzNWd5hhwBnNx6ISODo6o4XqeqE/UaG3GOe09goEMLV2VqTl6yx1hMX2QYhor3l6t4f4XHtSvv26AHvnij7HY2FgGAFayuJWjumkIUUPBmBXvK9K8P/j9TbPe7NysqfmbsahhPX8+QThU0qq6iXW/3pS8+LVppuclKy01UaIR/L9D0dQ6osbxNTeWt6m7tu+C9DoddWbmJmrswVRFRM+P3bWRoVIeey1dLtWchfutHdunWj+zy2YcMAOCrrC6ipgO1BHzBX37yun711b+YYjvv3aiYpCiLMpp6/b1DOvJmpTrG+VwcHBaoNdcuUULGzP8aNZ6+zgGVH61VbVHThOPaE1KitGhF5owfv3i+koMVOrnHvFEkODRQX/rfRzVncYZFWQGAf/KHWkKinoDvqS5q1N/f9D1TbNf9mxSd4LufGw3DUEVRs/IP13iM1ZNON7At2jxXablJPF8+z0DP0Ona4mSjXE7PzTVvmZWToMWrZynEB0d4jmeiTSESm8wBwBtYXUvQ3DWFKKDgzdwutz64+V/U095/JubLRx2/E4P9IyotbFR1Wavcrrf/EhifFq05yzOVOjfRL3ZEOMdc6m7pVWtNpxrLW9XfNfi27wkJDVTOghTNzkuaESd1vaW9oUsHnzluGmH6ljs+cZVu+eAOC7ICAFhdRE0Hagn4gsG+YX10+9dMY/dm8uldbzEMQxXFzTp5pM7jFC+bzaZFW+YqZ0Wm3zx072jsVvmRWjVVtE14T2xChBatzFRiapTf/L68paqgTkdfPGmKOQLs+vQPH9DyK+ZblBUA+C9/qCUk6gn4HsMw9NHtX1d7w9k/u4s25mr+uhwLs5ocrY09OvhamUYnOHkqLjVai7fmKi41epoz8y6G21BLTYeq8htOb7S+wNJNYkqUFqzIUELyzNlYZLgNHX2xUNUnGzyu3f131+jG92+b/qQAACZW1xI0d00hCih4u5//81N67ud7zrwOjw7TVQ9t8ZuH7cNDoyo/2ayqUy0aG3O97f1h0aGauzJTWYvSZsxxyYZhaKBnSB0N3eps6lFXc696O/ovWDidKzo2TLmLU5UxO152x8xpfDMMQ6WHqnRyb5nHKW82m033fPZaXf/wVouyAwBYXURNB2oJ+IrH//Nl/e47fzXFtt+1XnGpMdYkNI16uga1/+VTGujz3AgQnx6j5TvnKzIu3ILMpp5hGGqqaFf5kRp1NvVMeF9IWJCWrpml9NnxflNnnquhvEX7nz7mUV998Ft3astNM7sJEgC8lT/UEhL1BHzTT7/ypJ7/5d4zr+NSorX97g0WZjR5hgZGdfJo7bhjGt+SNjdR2csylZAR41efnYcHRlRzslHVBY0a6hu+4L1ps2KVtyRNcYm+e6LbeAy3oUN/zVddSZMpbrPZ9NBjN2v3PestygwAcC6rawmau6YQBRS8XUV+nb5w63+YYv6yEHMul8ut1sYeNVR3qLG2S863afQKDgvS3JWzlL00XQFBAdOU5eUbHRpTX9eA+joH1Nc5qP7OAfW09Wl4YPQd/TpBwQFKzYxVZk6CElNm3s770eExHXouX81VnicPRCdE6MPfvluLN861IDPg4oyMjOjZZ581xa655hoFBwdblBEw+awuoqYDtQR8xWDfsD624+vq7z572mt4TJh23rtRgT70WflSjY44deiNcrXUd3tcs9ltyl2dpXlrZ8+IzSGGYaintU+tNZ2qLW664Am/drtNcxelav7SdAUE+v5/+6Voq+vQm48fkfu8093u//z1uvahLRZlBVwYtQT8gT/UEhL1BHxT/pul+upDPzbFrnv/doWEz5zvQ13t/co/VKOOFs8x72+JiA1T1uI0zVqYquAZMm7wfG6XW211Xao52aimirYJx7pLpxucZuUkKHdxmqJiQqcxy+lhuA0dfr5AtcWNprjdYdcHvn6HNt+0wqLMgHeOegIzndW1BM1dU4gCCt7OMAx9cvc31VzTcSaWOS9Va69dZmFW1nonjV5BIYHKWZGp2UvSFRxmXZHldrk11Des4cFRjQyOaXRoVCODoxoZOv16eGBEfZ0DGh0au+R/R0hYoNJmxSktK04JyVGy22dWQ9dbulp6tP/p4xrsHfK4tmhDjj787bsVM8N2BWHmaW9vV15enilWWlqqhIQEizICJp/VRdR0oJaAL3nqv1/Vb75pfng3a0Ga1ly91KKMppdhGCo+Xq+SE57jMyQpPDpUy3bMU1JW/DRndvmGB0bUWtOp1poOtdZ2vm1NERjoUPb8ZOUsSFGohTWS1bpbe/Xa7w/IOWquJ2/+wHbd+cmrLcoKeHvUEvAH/lBLSNQT8E3OUafev/YrGho4ezLuyt2Llb04w8KsJp9hGGqs7VLh4ZpxTwF+i91hU9rcJM1ekq74dN8/zcvtdqu9vlsNpS1qKm/T6PCFa4uAQIdm5yZq7qJUhc2gBr9zGW5DR14oUE2RubErMChAH/33e7V650KLMgMuDfUEZjqra4mZv40WwIRsNpu23LJKv//u82didaVNWrBhriJjZ+b4kLfjcNiVmhmr1MxYuVxuNdV2qrSwSd0dAx73jg6PqXhfpUoOVCk1J1GzF6cpcVbclBVZI4Oj6usaUH/XoOnHQM/QBXe2XAqbTYqKDVNSarTSs+IUmxjh88XjhRhuQ6VH/jaG8bzfS5vdpls/vEu3fHDHjBo9CQAAMFmufWiLDr9wUmXHa8/EaosblTQrXlkL0y3MbHrYbDYtXJGp+KRIHdtXpcF+8wLNQM+Q9j5+XOl5yVpyRa7XnTzgdrk11D+iwd5hDfUNa7B3SIN9w+pu6VNve/9F/Rqh4UGauzBVs/OSFOinJ3W9pb97QG8+ftijsWv7HWt0xyeusigrAAAA7xcQFKClW/J04LmCM7GmytYZ19xls9mUnhWnlIwYVZa0qOREvcZGPTeZu12G6k+1qP5UiyLjwpS9LEOZC1J96oRkt8utjsZuNZS2qrG89aI2oMfEhyt7XrIys+Nn9CnAhmHoyIuF4zZ2feqH79ayLfMsygwA4K185xMAgClx5b0b9Of/efXsaD5DOvJ8gbbevlZ2u383sjgcdmVkJyh9drzam3t1qqBRrY09HvcZbkONZa1qLGtVWFTI345MTlNoxKUt2hiGocHeYXW39qmnrU89rX3qbu3TyOA7G5/4TgSHBCohOVJxiRGKTYxQTHy4AmbA6JiLMdA7pMPP5au9wXNHY1R8hD7ynbu1eANjGAEAACYSEOjQh//tbn3uxu9q6JzGpmMvFykuNcZvNo4kp8do181LVXK8QWUnm3T+QekNpS1qrmpXQkasEjJilJARq+jEiCmruwzD0MjgqIYHRjQ8MKrhgVGNDIxo+G+xkYFRDfUPn/5/dol7RaJjw5S7OE0Z2XF+Xz9Kp8eUvvHHQx6125rdi/TwP94yozfMAAAATIZVOxeamrtaa9rlcrpmxJjz8zkcduUuSlXW3ETVlLepurRFfT3D497b1zmo/FdKVbSnQpkLUjVnWYYi47yrzjIMQwM9Q+pq7v3bjx71tPV7jCkfj8NhV8aceM2Zl6zYhIhpyNZahmHo6IsnVXPSfPpzQKBDn/zP+2nsAgCMi+YuwM9FxITpyns36qn/fvVMrKOxWyX7K7RwY651iXkRm82mxNRoJaZGq7OtTyX5jWquG/9o88HeYRXvrVTJvirFp0crLCpUoZEhCo0MVmjE2Z9dTpeG+0c09Lcfp/95WIO9w+pt79fYiHNq/lvsNkVEhSgyOvTMj9iEcEVEhfjdQoNhGKoradKxl4vkHPX8/c5dPksf+/d7FZ8aM/3JAQAA+JikzDi9759v1b9//H/PxFxjLh185oS237Xeb05ADQhwaPHqWcrMSdCxfZXqbDWffOUac6mlql0tVe2n7w9yKD7tdKNXbEqUAoIC5AiwyxHg+NvPp/9ZttO73sdGnHKOueQcdck5evqfx0acpxu4TLXFiIYHRib9hF9JiogKUVJatNJmxSkxNcrv6oiJDA+O6I0/HtJgr3lBbuG6Ofrwd+6ekQuSAAAAk235FfNks9vOfI51Od1qre1Q6pwkizObOkHBAcpdlKq5C1PU0dKnqtJWNVR3yD3OZ3nnqEtVJ+pVdaJeSVnxyl2dpYSM6R3ZODbi1GDfsIZ6h8/83N89qI7G7os6metcsQkRmpWToMw5CQoK9o8la8MwdOzlIlUX1pvijkCHPvGD+7X8ivkWZQYA8Hb+8Z0SwAXd9Oh27X8mX631nWdixQcrlDQrXgkZcRZm5n3iEiO1cec8dXcMqLyoSfXVHXK7PIsswzDUXt8tqXvacnM47AoODVRwSICCQwL/9s+nf4RHBisyOlThkSGy21l8GR0e07GXT6r+VLPHNZvdppse2aZbP7xLAT50xDUAAIDVNly3TAV7yvTK7w+diXW39qrwzVIt9bMH1NGxYbrimkWqLmtV4eHaccesSKcXZ1qqO9RS3THNGV68gECHElOjlJwWo+T0aIVHhlidktcZHR7Tm386rP6uAVN89sI0feq/HlBQcKBFmQEAAPiWyNhwzVs5WyWHq87EGitaZ3Rz11tsNpsSUqKUkBKlpWuzVFvRrqpTLervHf80r9aaDrXWdCgyLkxpuUlKm5ukqISIS270MtynT94a6h8+fervWyf+Do5qZGBUw4OjGuobvuyN6THx4crIjld6Vpxf1halh6pUlV9nijkCHfrE9+/Tyu0LLMoKAOALWLUGoLDIEH3kO3frsbv/Sy7n347INaSDz+Vr130bFRQSZG2CXigmPlyrt8zV0rWzVVfZrurSVvV0DU75v9f+t5O3IqJDz57A9bfX/rKz5XK11XXo0HMFGur3LIoTM2L1wW/eqfmrsy3IDAAAwPe9+ws36tSRajVWtp2JlR2tVtKseKVkJ1qY2fSz2WzKzktWamacCg/XqLai3eqULsgRYFdYRLDCwoMVFhGksIhgxSedHt3OyMWJOUed2vPEEfW09ZniaXMS9fc/eVhhfrhgBQAAcDlW7Vxgau5qqmiVsdOQzY82LQeHBJ45zautqVcVJc1qqusad5x6X+egTh2o1qkD1YqIDVPa3CSl5SYpOnHiRq+xEad62/vV096nnrZ+9bb1q7ej/+z60CSLjgtTxux4pc+OV0SU/34+ri9tVuGeUlPMEejQx79/n1btXGhRVgAAX2EzDGPyz+iHJKmra/yxbYC3euKHr+i3337OFEubm6z11y9n1MbbMAxDXe0DqiptUX1Vx6QUQUHBAYqJD1dMXJii48IVEx+uiMgQvypiJ5Pb5VbR/nKdOlg57vUtt6zUg1+8UWGRodOcGTC52tvblZeXZ4qVlpYqISHBooyAyRcbG2t1ClOOWgK+rKa4UV+87QcaO2f0dXBokHbet1GhEf77IH9ocFTtzb1qb+5VW3PvhDvwJ51NCgkJVEhYkEJCT5/wGxIapJCw0z+fbugKUlBwAHXfO+RyurTniaNqqzOfvJaYEasv/++jjHiHz6GWgD/wh1pCop6Ab2up6dDHd33DFNt62xolZsZblJF3GOwfUeWpFlWXtmr0Ik7PCgkPkiPAIbfbkGEYMtynf7jdhpyjl3f61oUEhwQqNjFCcQnhik2IUGxCBBvTJXU0dev13x+U23V27chms+lj/36v1l29xMLMgMlDPYGZzupagu+mAM648X1XqHBvmU7uqzgTayxvUVVBveYszbQwM+9ns9kUlxihuMQILV2TpZbGHg30DmtocFSDA6MaGhjR0MCoqeiy2aSQsCCFvvUjPEghYUGKiApRTHy4QsOCWFyZJP3dgzr07Al1Nvd4XAuPDtXDX7lFG65dZkFmAAAAM0/WgjTd+7nr9LOvPHkmNjI0qsN/LdDmd63228+4oWFBypyToMw5px9qDg+Oqr2lV23NfWpv6dVg/4hcLve4u/HPZ7OdHpf41o+QkMAz9cT59UVISCAbRKaA2+XWgWdOeDR2xSRF6h9+9j4auwAAAC5Rcla8shakqaa48UysobzF75u7wiKCtXjVLM1flq6asjaVnWzSYP/IhPcPD4xOaT7BoYEKCw86c/pvVEyoElKiFBYR7Lc130QGega178mjpsYuSbrnM9fQ2AUAuGg0dwE4w+6w64PfvEufveE76j9nxGD+a8VKSI9VVHyEhdn5jsCgAGXMHr/QdDndGhoclSPAziLLNKktbtSxl0/KOeryuLZ441w9+rXbWXgBAACYZFfet0GFe8t0+MWiM7HW2g6VHa1W3ipGYEunN3pkZCcoI/vsDta3dtS7XG65nO7TP7vccrsNBQQ4FBBoV0CgQw6HnQUTCxluQ4efL1BTRaspHhEbps//7L1KzvLvhUcAAIDLtfaqxebmrrIWLdu2gM/AkgICHMpZkKI585PV2davhppONVR3aGiSmrkCgxxnNomcPvX39Im/waGBCg0LUlhEkELDguUIYHT7xRgdHtOeJ45oZMj8/2fHnWt13cNbLcoKAOCLaO4CYBKXHKVHv3q7vvXoz8/EXE63DjxzXDvu3iBHgMPC7HyfI8Du1zPlp9PYiFPHXy5SbUmjxzVHgF13fvJqXffwFtntFKEAAACTzWaz6f3/epsqC76rzpbeM/HifeXKnJfq1+MZL8Rms8nmsMnusCswyOpsMB7DbejwXwtUV9JkioeGB+vvf/KwMnNTLMoMAABg5lh31WL9/rvPn3k9PDCizqZuxaf5x2jVi2Gz2RSfFKn4pEgtWT1LXR0DaqzuUENNpwb6Jj7R69z3R8aEKjo2TNFxYWd+DgmlEJksbpdb+58+pr7OAVN86eZcPfTlm2lWBAC8IzR3AfCwaudCXXn/Rj3/y71nYr3t/Sp445SWb19oYWbAxelq6dGBvxzXQM+Qx7WU2Qn68L/drZwlGRZkBgAA4D8iY8P1oW/frX++/79lGKdnDTrHXCp445TWXsNIbPiet07sOn8DSVBIoD7zPw9pzmJqDAAAgMmQPjdZ6XOT1FB+9qTUhrIWmrsmYLPZFJcQobiECC1aNUu9XYPq7xuRzXb6mt1uO72RxG6T3WZTQJBDEVEhcjjY+DxVDMPQ0ZdOqq2u0xTPzEvRx/79XgUEcpACAOCd4bs2gHHd+9lrlTnPvOO44nitmqraLMoIuDi1xY169bcHxm3suuLW1frqEx+lsQsAAGCaLFw3R9tuW22K1ZU0qa2+c4J3AN7JcBs68kKBaovNjV2BQQH65H/er/lrGDcKAAAwmdZdtcT0uqG8+cymEUzMZrMpOi5c6VlxSpsVp9TMWCWnxygpLVqJKVGKT45UdGwYjV1T7NTBStWcbDDFYhIj9Zn/eVBhkaEWZQUA8GV85wYwrqDgQH30O/coMNh8wN+R5ws8ZoMD3sDtdiv/9RIdei5fbpfbdC0sMkQf+c7devRrtyskPNiiDAEAAPzTXZ+6WuFR5ofXJ14pltvtnuAdgHcxDENHXixUTZG5sSsg0KFP/te7tWzLPIsyAwAAmLnWXrXY9Hqwd1jd54x8B7xVXUmjTu4tM8WCQwP1d//9oBI4fQ4AcIlo7gIwoYzcZN3/+RtMsZHBUR198SQ7ZOBVRofHtOfxIyo7Uu1xLW9llr721Me08frl054XAAAApKj4CN3+8StNsZ72PlXm11mUEXDxDMPQ0RdPeuy6Dwh06JP/+W4t30pjFwAAwFSYNT9VKVnxplhDebNF2QAXp7m6TYefLzDFbDabPvxvdzPGHQBwWWjuAnBBu+5epxXb5ptijeUtqi+liIJ3GOwb0qu/3a/W2g6Pa1fet0Ff/NUjSsyIsyAzAAAAvGXX3es8xr4X7S3TyCCnAsN7vdXYVV1Yb4oHBDr0iR/c71ErAwAAYPLYbDatPW80Y31ZCxvP4bXqS5u198mjcrvMf0bv+/vrtHrXIouyAgDMFDaDT0FTpqury+oUgEnR3danz1z3HfV1DZyJhUaG6MoHtigg0GFhZvB3vR39evNPhzXUP2yKOwIdes9jN2vHHWstygywjtvtVmdnpykWFxcnu52efswcsbEz/wh7agnMRMUHK/WVe39kis1enKFVuxdP8A7AOoZh6NhLJ1VVYG7scgQ69Mn/uF8rdyywKDNg6lBLwB/4Qy0hUU9g5qjIr9MXbv0PU2zXfZsUnRhpUUbA+KoL63XkxULpvFX3K+/boAe/dJNsNps1iQHTiHoCM53VtQR/kwC8rZjESD38jzebYkN9wyo7UmVNQoCkzuZuvfa7Ax6NXTGJkfrSrx+hsQt+y263KyEhwfSD4gkA4A0WrJ2jTTcsN8WqC+vV2dxtST7ARAzD0LGXi8Zt7PrE9++jsQszFrUEAMDbzFmSoYS0GFOsvoypIvAuZUerdeQFz8auzTet0Lv/4QYau+A3qCeAqcXfJgAXZe3VS7RoQ44pdupQlUdjDTAdOpu69cYfD2t0eMwUT5uTqH/6w4eUtyLLoswAAABwIfd85loFhwWZYsdfLma0CryG2+3WkecLVZVfZ4o7Auz6+L/fq1U7F1qUGQAAgP85PZrRfNJvXUkj9QO8gmEYKtpXpvzXSjyu7b53gz7wjTvkCGD6DQBgctDcBeCi2Gw23f/5G2Szn91h4HK6VPhmqYVZwR91NnfrjT8dlnPUaYrPXZapL//mA0pI84/j9QEAAHxRXEq03vWhnaZYV0uPak42WJQRcJbb5dbBZ06opsj859ERYNfHvnevVu9aZFFmAAAA/mvDdctNrwd6htTR2G1JLsC5Ct8sVfH+Co/4TY9u10NfvokTiwAAk4rvKgAuWtb8VO24fY0pVlvcqM7mHosygr/pbO7Rm+M0di3dnKt/+MX7FRUXblFmAAAAuFjXPrhZqdkJpljhm6Uep7IC08k55tLep46qoazFFHcE2PWR79yjNVcunuCdAAAAmEo5SzOUNifRFCs56NlQA0ynU4cqVXq4yiN+96ev0V2fuppRjACASUdzF4B35PZPXKXQ8GBTLP9Vxqhg6p1u7DqksRFzY9eyrXn61A8fUMh5430AAADgnQKCAvTgF28yxUaGRlW0r8yijODvxkac2vP4YbVUt5vigcEB+uR/vlvrrl5iUWYAAACw2Wy64tbVplhLdbuaq9osygj+zDAMFR+o8JhqY7PZ9J7HbtaNj2yzJjEAwIwXYHUCAHxLdHyEbvnQTv3vN545E+to6lZ9abMy56VamBlmsq4JGruWbsnTJ//z3QoKDrQoM8D7jI6O6uDBg6bY2rVrFRREAyQAwHss3ZKn1bsX6fALJ8/EKk7UKmthumKToy3MDP5mZGhUex4/rK6WXlM8JDxIf/ejB7VwXY5FmQHTj1oCAOCtrrx3g579+Zvqbu07E8t/vURJs+Jld3COBaaHYRjKf61E5cdqPK69/19v1bbb1ozzLsB/UE8AU8tmcNzOlOnq6rI6BWBKjI049elrvq3Wus4zsbDIEF354BY5AhwWZoaZqKulR2/8cZzGrs25+tQPH6CxCzhPe3u78vLyTLHS0lIlJCRM8A7A98TGxlqdwpSjloA/aKvv1Keu/rbpc15MUpS2371edjsLNJh6w4MjeuMPh9Tb0W+Kh0eH6nM/flhzl2ValBlgDWoJ+AN/qCUk6gnMTK/98bB++Lnfm2LLty9QzvIsizKCP3G73DryQqFqixs9rt3/+et17UNbLMgK8C7UE5jprK4leFoK4B0LDA7QfZ+7zhQb7BtWVUGdRRlhpupqHr+xa8mmXH3qv2jsAgAA8GWJGXG65YM7TbHu1l6VHq6yKCP4k/7ugXEbu6ITIvSlXz9CYxcAAICX2XLLSmUvSjfFivaVa3R4zKKM4C9cTpf2P31s3MauB790E41dAIBpQXMXgEuyevciLVw3xxQrO1ojt9ttUUaYaVrrOvT6Hw6O29j16R8+oKAQGrsAAAB83fUPb1V6TpIpVry/XD3tfRO8A7g8hmGo/Fi1XvzlHo/GroS0GH35Nx/QrHmpFmUHAACAidjtdt3/+etNsdHhMZUcqLAoI/iDsZExvfmnw2qqbDPFHQF2ffjbd+mq+zdalBkAwN/Q3AXgkthsNt320d2m2GDvkBrLWy3KCDNJY0WL9jx+RM4xlym+eONcGrsAAABmkMDgAD3y1dtks9vOxNwuQ4f/WiC3i40jmFz93QN6/fcHdeLVErmc5j9fiRmx+tL/PqrU2YyLAAAA8FYL1s7R2qsWm2Llx2vU1zVgUUaYyYYHR/T6Hw6pvcE86jYwOECf+q8HtOnGFRZlBgDwRzR3Abhk89dkK2dphilWeqRKhmFYlBFmgpqTDdr/5+Mei3mc2AUAADAz5a7I0vUPbzXFGM+IyWQYhsqOnj6t6/yFGUlKyYrXF3/1iBLTYy3IDgAAAO/EPZ+5VgGBjjOvDbehgjdOWZgRZhrDMFRb0qiXf71X3a29pmthkSH6/M/eqxXb5luUHQDAX9HcBeCS2Ww2XXfeIkxXc486GrutSQg+r+xotQ4/X+DRILj2qsX6ux89qODQIIsyAwAAwFS67WO7PcYzFu0vV08b4xlxefq6BvTa7w4q/zXP07ok6cr7NuirT36Mxi4AAAAfkTwrXlc/sNkUa6poVWtdh0UZYSbpbu3Va787qEPP5muof8R0LTohQl/69SOavzrbouwAAP6M5i4Al2XtlYuVcN5D8NIj7LDHO2MYhk7uLVP+ayUe17bfvkYf+969CgwOsCAzAAAATIeg4EA9+vU7TOMZDbehw88znhGXpre9T0dfPKkXf7lHHY2ep3UlZcTpi796vx768s0KCQ+2IEMAAABcqls+uF1RceGmWP5rJTLcTBXBpRkZGtXRF0/qpV/vHbd+SMyI1WP/9wFlLUizIDsAAGjuAnCZHAEOXfug5y6ZtvpOizKCLzp1sFIlByo84je87wq9719uld3BtysAAICZbu6yTN34/m2mWHdrr04dqrQmIfgcw22osaJFr//hoF745R5VFdSN2xx45f0b9fWnP66F63IsyBIAAACXKywyVLd97EpTrKetTyUHPZ8xAxfidrtVfrxGf/3p66oqqBv3niWbcvXY/31QKVkJ05wdAABncQwKgMu27bY1+uP3X9RA79CZ2KFnT2jnfZsYo4e3VXqkSif3lnnE7/70NbrxkW3TnxAAAAAsc+uHd+nIS0WqL2s5Eys+UKHUOUmKSYqyMDN4s9HhMVUX1qviRK0Gz6lLz5eUGadHvnq7Fq6bM43ZAQAAYCrsuGONXvj1PtWVNp+JFe0rV3hMmGbN53QlXJjb5VZtSaNKDlRqoGdw3HsSM2J1/+dv0OpdC2Wz2ca9BwCA6cJRKAAuW2hEsG7+wHZTbKh/REeeL5BhcAwyxmcYhor3l6vg9VMe1977T++isQsAAMAPBQYH6APfuMN0cqvhNnTouXyNDI5amBm8jcvpVmNFqw4+c0LP/M8rKnjj1ISNXXaHXVe/e5O+/vQnaOwCAACYIRwBDj34pRs9mm6OPF+g9gbPsXqAdLqpq6qwXs///A0deb5w3Mau4NBA3f7xK/WtZz+lNbsX0dgFAPAKnNwFYFJc+54tOvFGqQr3lp+JNVW2qeJ4jeaumG1dYvBKhmGo8M1SlR6u8rj20Jdv0s671lmQFQAAALzBnMUZuumRbXr8P18+E+vt6Nerv9uvzbesVnh0mIXZwUpul1utdR2qP9WsxooWjY04L3h/VFy4dty5TrvuXqf41JjpSRIAAADTZuG6HN3/+ev1i3/585mY22Vo31NHte2u9YqMDbcwO3gTt8utmqIGlRysvOBpvxuuW6Z7P3st9QMAwOvQ3AVgUtjtdn3oW3fpszd8V70d/WfiBW+cUnxarGKToy3MDt7EMAwdf6VYlSdqPa7d+7nrdOV9Gy3ICgAAAN7kXR/aqcMvFanu1NkRK/1dg3r1twe0+V2rFZ0QaWF2mE6GYairuUfVRQ1qKGvW6NDY274ne3G6rrp/kzZct1RBwYHTkCUAAACscvUDm9Rc26Hnf7n3TGx0eEx7njii7XetV3BokIXZwRu01LTr2EtFE45flKQ5SzJ03+eu04K1nPQLAPBONHcBmDQxiZH64Dfv0Nfe85MzMbfL0MFnTmj73esVFEIR5e8Mt6EjLxSqpqjB49p7HrtZu+/dYEFWAAAA8DYBQQH61A/erX9+4H9MI1WGB0b02u8OaONNq5SQHmthhphqLqdLdaeaVHmiVl0tvW97vyPArrVXLdHVD2xS7vJZjE4BAADwEzabTe/+/PVqq+vUsVdLzsQHuge1/8/HtPlda+QIsF/gV8BMZbgNFR8oV/H+ignvmbssU7d+ZJeWbZ1HDQEA8Go0dwGYVMu2zNMN77tCf/6f187E+rsHtfeJo9p862oFBPJlx1+5XW4dei5f9aXNprjNbtMjX71dV7xrlUWZAQAAwBslZ8XrH3/7QX3tPT9W3TmfIcdGnHrzT4e07rrlSp2TZGGGmAqDfcOqPFGjqoJ6jQ6//Sld81dna8P1y7Tu6iWKjo+YhgwBAADgbRwBDn30u/fosbt/qJrixjPx9oYuHXmhQGuuXkrjjp8ZGRzVwWdPqLW2Y9zruStm6daP7NLSzXn82QAA+AS6LABMujs+cZWKDlSqIr/uTKyjqVv7nz6ujTeulN3BLhl/4xxz6eAzx9VU2WaKOwLs+vC/3a311yy1KDMAAAB4s7jkKH3pfx/Rtx75uU4dqT4Tdznd2vfUMS3fsVBzlmZalyAmTVdLj8qOVqu+tFmG27jgvTlLM7ThumVaf81SxafGTE+CAAAA8Goh4cH6zH8/qC/e9h/qPOfk17qSJkXEhGnhhlwLs8N06mjs0oG/HNdQ/4jHtbnLMnX7x6/Ukk25NHUBAHyKzTCMCz8xwyXr6up6+5uAGaq9sUtfvuM/TUWUJGXOS9Waa9gl40962vt08JkT6u3oN8UDgwL08e/fp5U7FliUGTAzOZ1OlZWVmWK5ubkKCKCnHzNHbOzMH8VGLQGYjQyN6nsf/bVpzMpb5q2do0UbeTDvq3ra+1S0t0yNFa0XvC8hLUbb71irTdcvV3JW/DRlB/gXagn4A3+oJSTqCfi36qJGPXb3f2lkcNQUX3PNUs2an2ZRVpgOhmGo/FiNCt445bFhxO6w6+5PX63rHt5K7QhMEeoJzHRW1xI0d00hCij4u/qyFv3jPT9Uf/egKZ6zfJaWbVvAB+gZzjAMVeXX6cRrJXK73KZrwaGB+vQPH9TijXMtyg4A4MusLqKmA7UE4Mk55tJ//8Mf9MbjRz2uZS1M18rdi2S3c0qwr+jvHlDRvnLVlTRd8L7FG+fqqvs3auX2BZwCDQC4bP5QS0jUE8DRV4r1rUd/bmrwsTvsuuKOtYpLibEuMUyZ0eExHXmhUI3lLR7XYpIi9bHv3qv5a7ItyAwAMFNYXUvQ3DWFKKAAqfx4rf75gf/x2CWzYP1cLdxAY89MNTo8pqMvFKphnEIqNCJYn/1/79G8VbOnPzEAwIxgdRE1HaglgPEZhqHffed5PfFfL3tcS8lO1Lrrlisg0GFBZrhYg71DKj5QoZqTDZrokVRQSKC23rJKV797o9LnJk9zhgCAmcwfagmJegKQpL/+cq9+9pUnTbGQ8GDtuGeDQiNCLMoKU6Glpl1Hni/UUP+wx7VFG3L04X+7WzEJkRZkBgCYSayuJWjumkIUUMBp+W+U6huP/EyuMZcpvmz7As1dnmVRVpgq7Q1dOvTsCQ32eRZSWQvS9NHv3qO0OYkWZAYAmCmsLqKmA7UEcGEv/faAfvLlJzxOiI1LjdGmm1cqKCTIoswwkYGeQZUdrVZVQZ3crvEfRUXEhOnah7Zo193rFBkbPs0ZAgD8gT/UEhL1BPCWH3/5cb34v/tNsZikKF1xxzo2hcwAzjGXCt88pYrjteNef9eHdurWj+ziBGAAwKSwupaguWsKUUABZ+175oS+//HfeOzMXn3VEmUtTLcoK0wm56hTZUerVby/Ytwd+Fe/e5Pu+cy1CgxmtjYA4PJYXURNB2oJ4O0dealI3/vYrzU24jTFI+PCtfldqxUWGWpRZniLYRhqb+hS+bEaNVa0SBM8gQoND9a179miax/azP83AMCU8odaQqKeAN7iHHPpaw//WCf3VZjiGXkpWnvtMtlsNosyw+XqaOrW4efy1d896HEtIjZMH/rWXVq+dZ4FmQEAZiqrawmau6YQBRRg9sL/7tdPvvy4R3zWgjQtvWK+gkPZXe+LBvuGVXG8RlUFdR4La9Lp3fePfO12rd650ILsAAAzkdVF1HSglgAuzqkj1frmIz/TQM+QKR4aEaLN71qtqPgIizLzby6nW/WnmlR+vEbdrb0T3hcUEqir7t+oG953BSd1AQCmhT/UEhL1BHCu/u5BfeHW/1BLbYcpvnDDXC1YP9eirHCp3C63ivaV69ThynE3jyzeOFePfu12xafGTHtuAICZzepaguauKUQBBXh6/D9f1u++81ePeHBYkFbuWqy0nCQLssKlGB4YUdG+clWfrJfhHv9byfw12frwt++ikAKmkdPpVFlZmSmWm5urgABOzcPMYXURNR2oJYCLV1fWrK899GN1tpibiIJCArXxppWKT5v5XzO8xcjQqCqO16gyv04jg6MT3ucIdGjnXet086PbFZsUNY0ZArgQagn4A3+oJSTqCeB8DeUt+uLtP9BQ/4gpvv765UrPTbEoK7wThmGotbZDBa+fUk97n8f1oJBA3fvZa7XrnvWy2xnDCFiBegIzndW1BM1dU4gCCvBkGIZ+9dWn9cxP3xz3evaSTC29Yp4CAvlG761cTpfKj9ao5FCFnKOuce+x2W269cO7dMsHdzDPHphm7e3tysvLM8VKS0uVkJBgUUbA5LO6iJoO1BLAO9Pe2KWvPvRjNVa2meKOALs237JaCRlxFmXmH5xjLpUfq9apQ1Vyjnqe5vuWkPAgbbt1ja59zxYlps/8r+WAr6GWgD/wh1pCop4AxnP89VP6xvt+atqo7AhwaNud6xTDhgOv1lbXoaJ95WpvGP9rW+7yWfrAN+5QanbiNGcG4FzUE5jprK4l6J4AMK1sNpvu+/vrlT43Wb/66tMeO2WqCurUVt+htVcvU2xKtEVZ4lxjI051Nnero7FLHY3d6mzqlnNsgqYum00rdyzQzR/YobnLMqc5UwAAAPirhLRYPfZ/H9A33/8zlR2vPRN3Od068MwJ7bpvk4LDGAM/2dxut2qKGlW8r8yjtjtXUmacrrp/o7bdtlphkaHTmCEAAABw2vKt83Tf567TL//16TMxl9OlN/50SKt2L2GqiBdqb+hS0b4ytdV1jnvdEejQbR/ZpRved4UcAY5pzg4AgOlFcxeAaWez2bTjjrVavnWefvylx3X0lWLT9f6uQb3y2/3KWT5Lc1fMVngUD/+n0+jwmFprO9RW36mOxq7TRxy/zRmPQSGBuuLW1brmgU3sjgEAAIAlImPD9fmfv0/f++ivdfy1kjPx4YERHX6+QBtvWimbzWZhhjOHYRhqqmxT4Zul6uvsn/C+RRtydPUDm7Vy23xO9AUAAIDlrnlws+rLWvTK7w+diY0OjWnfU0c1e3GGll4xX4FBLJ1arbO5W0V7y9VS0z7hPZl5KfrgN+/U7IVp05gZAADW4RMKAMvEpUTr0z96QC//7qB++S9/1sjQ2JlrhttQ+dEalR+rUfrcZOWunK241BgWY6aA4TbU1dqjlup2tVS3q7O5Rxc7sddms2nLzSt15yevUhwnrQEAAMBiIWFB+tR/vVvffP9Plf9m2Zl4c1Wbyo/VKHflbOuSmyE6m3tU8HrJhCNRJGnTDct1w/u3KWt+6jRmBgAAAFyYzWbTex67WU1V7So5XGW6Vl1Yr9baDq3avVhJs+ItytC/tTd0qXh/uVprOya8JyEtRrd8aKe23rJKAYGc1gUA8B80dwGwlM1m084712nhuhz94FO/UUV+vfkGQ2ooa1FDWYtik6OVuzJL6bkp7Pq+TG6XW40VrWoob1ZrTYdGh8fe/k3nWbxxru75zLXKXpQ+BRkCAAAAlyYg0KEPfPNOfe6G76qn/eypUgVvnFJCeqxik9mUcClcTpeK9pWr9EjVhCf7LtmUq7v/7hpqBAAAAHitgKAAffpHD+i/PvM7HXmpyHRtsHdIb/zxkNJykrRk6zxFxIRblKV/6WjqVtHesgs2dcUlR+nmD+zQttvWKDCY5W0AgP+xGRd7PAvesa6uiXexAvDkHHPp8R+8pCd++Ir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"text/plain": [ "
" ] }, "metadata": { "image/png": { "height": 708, "width": 1211 } }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1, 3, figsize=(12, 8), sharex=True, sharey=True)\n", "\n", "for i, ds in enumerate([ds1, ds2, ds3]):\n", " az.plot_kde(\n", " ds[\"x\"],\n", " ds[\"y\"],\n", " hdi_probs=[0.25, 0.5, 0.75, 0.9, 0.95],\n", " contour_kwargs={\"colors\": None},\n", " contourf_kwargs={\"alpha\": 0.5},\n", " ax=ax[i],\n", " )\n", " ax[i].set(\n", " title=f\"$P(x, y)$, DAG {i+1}\",\n", " xlim=[-4, 4],\n", " xticks=np.arange(-4, 4 + 1, step=2),\n", " ylim=[-6, 8],\n", " yticks=np.arange(-6, 8 + 1, step=2),\n", " aspect=\"equal\",\n", " )\n", " ax[i].axvline(x=2, ls=\"--\", c=\"k\")" ] }, { "attachments": {}, "cell_type": "markdown", "id": "6625a68d-e19e-4490-b486-29e3bff42716", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "At this point we have met 3 different data generating processes (and their corresponding DAGs). We've drawn many MCMC samples from the prior distribution and visualised this joint distribution $P(x,y)$ for each of the models. We are now in position to recap the conditional distributions (e.g. $P(y|x=2$, see the next section) and how they compare to the interventional distribution $P(y|\\operatorname{do}=2)$ in the section following that." ] }, { "attachments": {}, "cell_type": "markdown", "id": "b44eef67-7ad3-46cc-b18c-e589b9fd271b", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "### Conditional distributions, $P(y|x=2)$" ] }, { "attachments": {}, "cell_type": "markdown", "id": "2d30eb22-2560-495a-8af2-f9c9fe04848a", "metadata": {}, "source": [ "In the MCMC spirit of representing probability distributions by samples, let's now calculate the conditional distributions. If we picked all the values where $x$ was _exactly_ 2, then we might not end up with any samples at all, so what we'll do is to take a very narrow slice of samples around 2. So these will be approximations - as the number of samples increases and the width of the slice decreases, then our approximation would become more accurate." ] }, { "cell_type": "code", "execution_count": 12, "id": "4340f80a-95f5-486d-b958-88ec130b6538", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [], "source": [ "# Extract samples from P(y|x≈2)\n", "conditional1 = ds1.query(sample=\"1.99 < x < 2.01\")[\"y\"]\n", "conditional2 = ds2.query(sample=\"1.99 < x < 2.01\")[\"y\"]\n", "conditional3 = ds3.query(sample=\"1.99 < x < 2.01\")[\"y\"]" ] }, { "attachments": {}, "cell_type": "markdown", "id": "99ccc753-e3ef-4834-b02f-4a8d82749fe5", "metadata": {}, "source": [ "So now we've got our MCMC estimates of $P(y|x=2)$ for all of the DAGs. But you're going to have to wait just a moment before we plot them. Let's move on to calculate $P(y|\\operatorname{do}(x=2))$ and then plot them in one go so we can compare." ] }, { "attachments": {}, "cell_type": "markdown", "id": "d0896e42-ee27-4c37-a065-7c78d6f6c0e2", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "### Interventional distributions, $P(y|\\operatorname{do}(x=2))$\n", "\n", "In turn for each of the 3 DAGs, let's use the $\\operatorname{do}$ operator, setting $x=2$. This will give us a new DAG and we'll plot the graphviz representation and then take samples to represent the interventional distribution." ] }, { "cell_type": "code", "execution_count": 13, "id": "87ef7495-d1db-4734-9685-e0963ed346b3", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "temp\n", "\n", "temp\n", "~\n", "Normal\n", "\n", "\n", "\n", "y\n", "\n", "y\n", "~\n", "Deterministic\n", "\n", "\n", "\n", "temp->y\n", "\n", "\n", "\n", "\n", "\n", "x\n", "\n", "x\n", "~\n", "ConstantData\n", "\n", "\n", "\n", "x->y\n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model1_do = do(model1, {\"x\": 2})\n", "pm.model_to_graphviz(model1_do)" ] }, { "attachments": {}, "cell_type": "markdown", "id": "95844edc-2e47-47a1-986a-c6e0b30386c0", "metadata": {}, "source": [ ":::{important}\n", "Let's just take a moment to reflect on what we've done here! We took a model (`model1`) and then used the $\\operatorname{do}$ function and specified an intervention we wanted to make. In this case it was to set $x=2$. We then got back a new model where the original DAG has been mutated in the way that we set out above. Namely, we defined $x=2$ _and_ removed edges from incoming nodes to $x$. In this first DAG, there were no incoming edges, but this is the case in DAG2 and DAG 3 below.\n", ":::" ] }, { "cell_type": "code", "execution_count": 14, "id": "e7a60ccb-8568-42b2-9b59-75c1f812aecf", "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "temp\n", "\n", "temp\n", "~\n", "Normal\n", "\n", "\n", "\n", "y\n", "\n", "y\n", "~\n", "Normal\n", "\n", "\n", "\n", "x\n", "\n", "x\n", "~\n", "ConstantData\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model2_do = do(model2, {\"x\": 2})\n", "pm.model_to_graphviz(model2_do)" ] }, { "cell_type": "code", "execution_count": 15, "id": "ae53d8bf-a706-46e9-bd1c-2d43a5bcd222", "metadata": {}, "outputs": [ { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "z\n", "\n", "z\n", "~\n", "Normal\n", "\n", "\n", "\n", "y\n", "\n", "y\n", "~\n", "Deterministic\n", "\n", "\n", "\n", "z->y\n", "\n", "\n", "\n", "\n", "\n", "temp\n", "\n", "temp\n", "~\n", "Normal\n", "\n", "\n", "\n", "temp->y\n", "\n", "\n", "\n", "\n", "\n", "x\n", "\n", "x\n", "~\n", "ConstantData\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "model3_do = do(model3, {\"x\": 2})\n", "pm.model_to_graphviz(model3_do)" ] }, { "attachments": {}, "cell_type": "markdown", "id": "688de710-654d-4905-a328-81941aaa1fe6", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "So we can see that in DAG 1, the $x$ variable still has causal influence on $y$. However, in DAGs 2 and 3, $y$ is no longer causally influenced by $x$. So in DAGs 2 and 3, our intervention $\\operatorname{do}(x=2)$ have no influence on $y$." ] }, { "attachments": {}, "cell_type": "markdown", "id": "01ba8784-cd8b-45e8-b9ec-1fd6d56b010a", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "Next we'll sample from each of these interventional distributions. Note that we are using the mutilated models, `model1_do`, `model2_do`, and `model3_do`. " ] }, { "cell_type": "code", "execution_count": 16, "id": "e54e1a6e-f954-4a17-b548-a8db72ab0013", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Sampling: [temp]\n", "Sampling: [temp, y]\n", "Sampling: [temp, z]\n" ] } ], "source": [ "with model1_do:\n", " idata1_do = pm.sample_prior_predictive(samples=N, random_seed=rng)\n", "\n", "with model2_do:\n", " idata2_do = pm.sample_prior_predictive(samples=N, random_seed=rng)\n", "\n", "with model3_do:\n", " idata3_do = pm.sample_prior_predictive(samples=N, random_seed=rng)" ] }, { "attachments": {}, "cell_type": "markdown", "id": "d9d4fe62-b694-4a90-9e7f-21344f69fcf6", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "So let's compare the conditional and interventional distributions for all 3 DAGs." ] }, { "cell_type": "code", "execution_count": 17, "id": "72a72a7f-cd77-45eb-a000-9d78bd01498e", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [ "hide-input" ] }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": { "image/png": { "height": 411, "width": 1011 } }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(1, 2, figsize=(10, 4), sharex=True, sharey=True)\n", "\n", "az.plot_density(\n", " [conditional1, conditional2, conditional3],\n", " data_labels=[\"DAG 1\", \"DAG 2\", \"DAG 3\"],\n", " combine_dims={\"sample\"},\n", " ax=ax[0],\n", " hdi_prob=1.0,\n", ")\n", "ax[0].set(xlabel=\"y\", title=\"Conditional distributions\\n$P(y|x=2)$\")\n", "\n", "az.plot_density(\n", " [idata1_do, idata2_do, idata3_do],\n", " data_labels=[\"DAG 1\", \"DAG 2\", \"DAG 3\"],\n", " group=\"prior\",\n", " var_names=\"y\",\n", " ax=ax[1],\n", " hdi_prob=1.0,\n", ")\n", "ax[1].set(xlabel=\"y\", title=\"Interventional distributions\\n$P(y|\\\\operatorname{do}(x=2))$\");" ] }, { "attachments": {}, "cell_type": "markdown", "id": "f546f9e2-0f9b-4eaa-93e3-b5887b757a37", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "We can see, as expected, that the conditional distributions are the same for all 3 DAGs. Note that these distributions are not posterior distributions of estimated parameters - we have not conducted any parameter estimation here.\n", "\n", "The story is different for the interventional distributions however. Here, DAG 1 differs because it is the only one where our $\\operatorname{do}(x=2)$ intervention causally effects $y$. If we think about it further, because the $\\operatorname{do}$ has not affected the structure _for this DAG_, in this example $P(y|\\operatorname{do}(x=2)) = P(y|x=2)$. However this is _not_ something to be generalised, it is just something specific to this particular simple DAG. \n", "\n", "The intervention severed any causal influence of $x$ on $y$ in DAGs 2 and 3. Let's just recap what the mutated DAGs look like; the mutated DAG 2 is shown below, and we can see that $P(y|\\operatorname{do}(x=2)) = P(y)$." ] }, { "cell_type": "code", "execution_count": 18, "id": "1b8c87ad-c3c3-4de5-8b9f-9a47f34f536f", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [ "hide-input" ] }, "outputs": [ { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "y2\n", "\n", "y\n", "\n", "\n", "\n", "x2\n", "\n", "x\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "g = gr.Digraph()\n", "g.node(name=\"y2\", label=\"y\")\n", "g.node(name=\"x2\", label=\"x\")\n", "g" ] }, { "attachments": {}, "cell_type": "markdown", "id": "9c4122ee-9709-4c9c-b0eb-a4c20e1b7f3a", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "The mutated DAG 3 is shown below. We can see that for this DAG, $P(y|\\operatorname{do}(x=2)) = P(y|z)$. " ] }, { "cell_type": "code", "execution_count": 19, "id": "115b2f76-383d-4aed-8249-53bb4f57b213", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [ "hide-input" ] }, "outputs": [ { "data": { "image/svg+xml": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "z\n", "\n", "z\n", "\n", "\n", "\n", "y\n", "\n", "y\n", "\n", "\n", "\n", "z->y\n", "\n", "\n", "\n", "\n", "\n", "x\n", "\n", "x\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "g = gr.Digraph()\n", "g.node(name=\"z\", label=\"z\")\n", "g.node(name=\"x\", label=\"x\")\n", "g.node(name=\"y\", label=\"y\")\n", "g.edge(tail_name=\"z\", head_name=\"y\")\n", "g" ] }, { "attachments": {}, "cell_type": "markdown", "id": "dec5c8d6-e562-47ca-a263-2e8269704d04", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "$P(y|\\operatorname{do}(x=2))$ for DAG 2 and DAG 3 will actually be the same in this contrived example because the details were arranged to arrive at the same marginal distribution $P(y)$ for all DAGs." ] }, { "attachments": {}, "cell_type": "markdown", "id": "e546b0ab-dd66-4c20-b814-c8cd1bc6c710", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "## Summary\n", "\n", "Hopefuly, I've established a strong case for why we need to expand our skillset beyond the realm of Bayesian statistics alone. While these approaches are, and will always be, at the core of PyMC, the ecosystem is embracing causal reasoning.\n", "\n", "In particular, we've seen how we can use the new $\\operatorname{do}$ operator to implement realised or hypothetical interventions on causal models of the world to obtain interventional distributions. Understanding the underlying causal DAG and how interventions change this DAG are crucial components in building our understanding of causal reasoning.\n", "\n", "The exciting thing is that there are many more causal reasoning ideas and concepts to learn. And PyMC is adapting as needed to support all your Bayesian causal inference needs.\n", "\n", "Readers looking to learn more are suggested to check out the cited blog posts as well as textbooks, {cite:t}`pearl2000causality`, {cite:t}`pearl2016causal`, {cite:t}`mcelreath2018statistical`, {cite:t}`molak2023ciadip`." ] }, { "attachments": {}, "cell_type": "markdown", "id": "f17a9b3b-a3c2-4919-893b-569049db03d6", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "## Authors\n", "- Authored by [Benjamin T. Vincent](https://github.com/drbenvincent) in July 2023" ] }, { "attachments": {}, "cell_type": "markdown", "id": "ecbb878d-531b-4c96-afe2-c39f928b9162", "metadata": {}, "source": [ "## References\n", "\n", ":::{bibliography}\n", ":filter: docname in docnames\n", ":::" ] }, { "attachments": {}, "cell_type": "markdown", "id": "9fd548d0-5977-4a19-935a-506e86063887", "metadata": {}, "source": [ "## Watermark" ] }, { "cell_type": "code", "execution_count": 20, "id": "265cd4a3-4e02-408c-afe6-80627f0663c4", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Last updated: Mon Feb 19 2024\n", "\n", "Python implementation: CPython\n", "Python version : 3.9.13\n", "IPython version : 8.18.1\n", "\n", "pytensor: 2.18.6\n", "xarray : 2024.1.1\n", "\n", "numpy : 1.26.4\n", "packaging : 23.2\n", "graphviz : 0.20.1\n", "seaborn : 0.13.2\n", "arviz : 0.17.0\n", "pymc : 5.10.4\n", "matplotlib: 3.8.3\n", "\n", "Watermark: 2.4.3\n", "\n" ] } ], "source": [ "%load_ext watermark\n", "%watermark -n -u -v -iv -w -p pytensor,xarray" ] }, { "attachments": {}, "cell_type": "markdown", "id": "62e8040f-452c-4a11-90f5-fa94eb03c971", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ ":::{include} ../page_footer.md :::" ] } ], "metadata": { "jupytext": { "notebook_metadata_filter": "substitutions" }, "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.13" } }, "nbformat": 4, "nbformat_minor": 5 }