risk-ratios.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Risk Ratios for Journalists\n",
    "\n",
    "### Note: This workbook has the answers inline! Please see risk-ratio-workbook.ipynb to work it out yourself\n",
    "Welcome! This notebook will take you through the basics of understanding and working with risk ratios. A risk ratio describes a *change* in risk, which is useful across a wide variety of analyses including vaccine effectiveness, pay-to-play meetings with politicians, employment discrimination, TSA security screening, and medical test results. Although the formula is simple, there are  connections to deep topics like false positive rates, causal inferrence, and the important notion of conditional probability."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example\n",
    "A risk ratio, also called a relative risk, is the ratio of two probabilities. Each of these probabilities represents something happening to one of two groups.\n",
    "\n",
    "We'll base our example on a type of drug that reduces heart attacks called statins, which have [similar numbers](https://researchaddict.com/statins-reduce-the-risk-of-death-heart-attacks-and-even-dementia/) to those in this example. Suppose that in a randomized trial we have 60 people in a control group, 3 of whom go on to have a heart attack, and 40 who take the drug, 1 of whom has a heart attack. We can draw this situation like this."
   ]
  },
  {
   "attachments": {
    "risk-ratio-statins.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![risk-ratio-statins.png](attachment:risk-ratio-statins.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can represent all of this information in a 2x2 table, like this. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>no heart attack</th>\n",
       "      <th>heart attack</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>medication</th>\n",
       "      <td>39</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no medication</th>\n",
       "      <td>57</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               no heart attack  heart attack\n",
       "medication                  39             1\n",
       "no medication               57             3"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "statins = pd.DataFrame({'no heart attack':[39,57],'heart attack':[1,3]}, index=['medication','no medication'])\n",
    "statins"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We might naturally be interested in how much more or less likely someone taking the medication is to get a heart attack. We can't just count the number of heart attacks in each group, because the groups might be different sizes (as they are here). Instead we want to compare the probability of heart attack within each group."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.025"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p_attack_medication = statins['heart attack']['medication'] / (statins['heart attack']['medication'] + statins['no heart attack']['medication'])\n",
    "p_attack_medication"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.05"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p_attack_no_medication = statins['heart attack']['no medication'] / (statins['heart attack']['no medication'] + statins['no heart attack']['no medication'])\n",
    "p_attack_no_medication"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All we are doing here is calculating the percentage of medicine takers and non-medicine takers who had a heart attack, which is why we divide by the total number of takers/non-takers in the denominators of the formulas above. \n",
    "\n",
    "From this, we can see that without medication there is about a 5% chance of having a heart attack, and with medication there is a 2.5% chance. We might want to have a single number that summarizes this *change in risk* for a variety of reasons, such as to compare the effect of different treatments or risk factors. For example, is taking this drug more or less effective than never exercising? \n",
    "\n",
    "The simplest way to do this would be to subtract the two probabilities:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-0.025"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p_attack_medication - p_attack_no_medication"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is a difference of probabilities, a number known as a **risk difference** or **absolute risk reduction**. It's negative here, indicating that the risk went down. \n",
    "\n",
    "We might also want to ask how many times bigger one probability is than the other, which implies a division:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p_attack_medication / p_attack_no_medication"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This, at last, is the **risk ratio** or **relative risk**. It's less than one, meaning the risk was reduced."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Definition\n",
    "\n",
    "Given two groups and two outcomes, we can place these four numbers in a table like this:\n",
    "\n",
    "| Group | Positive | Negative |\n",
    "| - | - | - |\n",
    "| Treated | a | b |\n",
    "| Untreated | c | d |\n",
    "\n",
    "This is called a **cross table** or **contingency table**. The two outcomes arus usually called **positive** and **negative**, even though the \"positive\" outcome might actually be bad, like a heart attack. The two groups are called various names, such as the **untreated** and **treated**  for studies of drugs or other interventions, or sometimes **unexposed** and **exposed** when studying the effects of some risk factor.\n",
    "\n",
    "Then the **risk ratio** is defined as `(a/(a+b)) / (c/(c+d))`. This is alsocalled the **relative risk**.\n",
    "\n",
    "We've already also seen the *risk difference* which is `(a/(a+b)) - (c/(c+d))`. There is another quantity called the *odds ratio* which is calculated as ratio of odds instead of a ratio of probabilities, that is `(a/b) / (c/d)`. In fact there are a [number of related measures](https://en.wikipedia.org/wiki/Relative_risk_reduction) one can calculate from this table, each of which can be useful in certain cases. Yet all comparisons of risk eventually boil down to calculations on this table.\n",
    "\n",
    "We will focus mostly on the *risk ratio*, because it is a simple and versatile ratio of probabilities.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exercise 1: COVID vaccine risk ratio\n",
    "\n",
    "Here's a [paper](https://www.nejm.org/doi/full/10.1056/nejmoa2035389) which reports on the phase 3 clinical trials of the Moderna vaccine. What is the risk ratio that describes the effectiveness of this vaccine? You will need to read the paper to find the four values a,b,c,d as above.\n",
    "\n",
    "**a) What is the risk ratio of taking the vaccine?**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = 11 # number of people who DID get the vaccine and DID get COVID\n",
    "b = 15210-11 # number of people who DID get the vaccine and DID NOT get COVID\n",
    "c = 185 # number of people who DID NOT get the vaccine and DID get COVID\n",
    "d = 15210-185 # number of people who DID NOT get the vaccine and DID NOT get COVID"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.05945945945945945"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Then calculate the risk ratio itself\n",
    "(a/(a+b)) / (c/(c+d))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**b) What does it mean that this number is smaller than 1?**\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A much lower percentage of vaccinated people got COVID"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**c) This paper says that the vaccine \"showed 94.1% efficacy at preventing Covid-19 illness.\" Where does this number come from?**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It's one minus the risk ratio, expressed as a percentage (times 100)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Communicating Relative Risk\n",
    "How should we write about this? Relative risk is often written as *times as likely*, so we could say \"people who take this medicine are 0.5 times as likely to have a heart attack.\" \n",
    "\n",
    "In this case we could also go with a nice clean \"half as likely,\" but *times* is the general wording. Consider this sentence reporting a risk ratio from a 2015 [ProPublica story](https://www.propublica.org/article/deadly-force-in-black-and-white): \"Young black males in recent years were at a far greater risk of being shot dead by police than their white counterparts – 21 times greater.\" \n",
    "\n",
    "You could also report the absolute risk reduction by saying \"those who took the medication were 2.5% less likely to have a heart attack.\" This gives a different picture of what has happened to the risk. It has decreased by only a small amount, but then again it *can't* decrease by more than the baseline of 5%.\n",
    "\n",
    "Typically, a risk ratio is reported as *times as likely*, which implies a multiplication -- we are multiplying the risk of untreated group by the relative risk to find the risk of the treated group. Conversely, risk difference typically is reported as *less likely* or *more likely than* because it implies addition -- we add the risk difference to the untereated group to get the risk for the treated group.\n",
    "\n",
    "You may be tempted to write \"those who took the medication were 50% less likely to have a heart attack.\" This has a nice ring to it, and technically that 50% is a number called the **[relative risk reduction](https://en.wikipedia.org/wiki/Relative_risk_reduction)** which is just 1-risk ratio (if the risk ratio was 80% then the relative risk reduction would be 20%). However, this is confusing because \"less likely\" is usually used to report absolute risk reduction. Please don't do this.\n",
    "\n",
    "Both risk ratios and risk differences are ways of summarizing a *change* in risk. They're very useful for comparing different interventions. However, neither of these numbers alone really tells the whole story.\n"
   ]
  },
  {
   "attachments": {
    "risk-ratio-normalized.png": {
     "image/png": "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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## A simple and accurate way to report risk changes\n",
    "\n",
    "In the heart attack example the risk ratio was a large, meaning far from one. People taking the medication were 0.5 times as likely to have a heart attack, or a 50% relative risk reduction. But the absolute risk reduction was small, just a few percent. This is because the absolute risk was small in both groups, but these two numbers can be a lot closer for common outcomes. If your probability of getting a parking ticket decreases from 70% to 30% in a different neighborhood, then the relative risk reduction is 1-30/70 = 57%, but the absolute risk reduction is 40%.\n",
    "\n",
    "Beware of those who report [whichever number looks better](https://centerforhealthjournalism.org/2017/01/11/reporting-findings-absolute-vs-relative-risk)! A pharmacuetical company may pick the large number to report effectiveness, and the smaller number to report side effects. Also, some writers might unintentionally mislead by using \"less likely\" to report a relative risk reduction rather than an absolute risk reduction. \n",
    "\n",
    "Fortunately, there's a simple alternative that will help both you and your readers. First, convert both the untreated and treated group to percentages, so readers don't have to work out the denominator in their heads. For our statin example that could be visualized like this:\n",
    "\n",
    "![risk-ratio-normalized.png](attachment:risk-ratio-normalized.png)\n",
    "\n",
    "Then simply report both numbers: \"2.5% of those who took the medication had a heart attack, compared to 5% of those who did not.\" While you would still want to use risk ratios to compare, say, the effectiveness of two different drugs, for a single drug reporting the before and after percentages is simple, comprehensive, and easy to visualize.\n",
    "\n",
    "**Careful with causality!** It is very tempting to write \"taking the medicine reduced the risk of heart attacks from 5% to 2.5%\" which means that the drug *caused* the reduction. This *might* be true, if the risk ratio was computed as part of a carefully controlled experiment, as when reporting on a scientific study. But in general, *risk ratios are statements of correlation, not causation*. We'll talk about this more below.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The Vaccine Adverse Event Reporting System (VAERS)\n",
    "\n",
    "One great advantage of getting comfortable with risk ratios is being able to recognize when something should really be a risk ratio, but isn't. The logic of the 2x2 table explains why the Vaccine Adverse Event Reporting System (VAERS) database cannot be used to calculate the number deaths caused by the COVID vaccine. To be clear, there are many problems with trying to use this data to count deaths. For one thing, it's an open database and only collects reports of \"adverse reactions\"*after* vaccinations -- no attempt is made to determine causality at this stage. As this [article](https://www.nebraskamed.com/COVID/does-vaers-list-deaths-caused-by-covid-19-vaccines) notes,\n",
    "\n",
    ">VAERS is like the Wikipedia of data reporting. Anyone can report anything. Many reports are helpful. Some reports are nonsense – to prove the point, one anesthesiologist successfully submitted a VAERS report several years ago that the flu vaccine had [turned him into The Incredible Hulk](https://www.politifact.com/factchecks/2017/may/11/bill-zedler/bill-zedler-insists-program-doesnt-collect-wide-ra/). More recently, a [false report](https://www.usatoday.com/story/news/factcheck/2021/05/09/fact-check-no-evidence-2-year-old-died-covid-vaccine/4971367001/) of a 2-year-old dying from a COVID-19 vaccine was removed from VAERS because the CDC says it was \"completely made up.\"\n",
    "\n",
    "But even if every report was perfectly accurate, if you understand risk ratios you'll see immediately that it's not possible to determine if vaccines increase the risk of death from this sort of data. Politifact [explains this well](https://www.politifact.com/article/2021/may/03/vaers-governments-vaccine-safety-database-critical/):\n",
    "\n",
    "> Offit explained that four sets of data are needed to measure whether a vaccine has caused or contributed to an adverse event: vaccinated people who experienced that problem; vaccinated people who didn’t have it; unvaccinated people who had the problem; and unvaccinated people who didn’t.\n",
    "\n",
    "In other words, VAERS tracks only one of the four numbers in the contingency table, so right away we know that we cannot say from this data alone whether getting the vaccine increases or decreases your risk for \"adverse events.\"\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exercise 2: Clinton Foundation Meetings\n",
    "\n",
    "In summer 2016 the [AP reported](https://apnews.com/article/82df550e1ec646098b434f7d5771f625) that \"at least 85 of 154 people from private interests who met or had phone conversations scheduled with Clinton while she led the State Department donated to her family charity or pledged commitments to its international programs.\" Is this evidence that donating to the Clinton Foundation would get you a meeting with the Secretary of State?\n",
    "\n",
    "In risk ratio terms, quid-pro-quo would mean that the \"risk\" (probability) of getting a meeting for people who donated is higher than for those who did not donate, i.e. the risk ratio is greater than one. \n",
    "\n",
    "***Using the numbers in the story above, try to calculate the risk ratio***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = 85 # number of people who DID donate and DID get a meeting\n",
    "b = ??? # number of people who DID donate and DID NOT get a meeting\n",
    "c = 154-85 # number of people who DID NOT donate and DID get a meeting\n",
    "d = ??? # number of people who DID NOT donate and DID NOT get a meeting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It turns out we cannot calculate the risk ratio. The basic problem is that we only have information on people who met with Clinton, not people who wanted to meet with her but did not, regardless of whether they also donated to the Clinton foundation. The fact that only two numbers are reported in the story should be a clue that we can't calculate the advantage of donating -- we need four numbers to do that. (We could also calculate the advantage with two probabilities: the probability of getting a meeting if you donated, and the probability of getting a meeting if you did not.)\n",
    "\n",
    "But surely there's still something suspicious here if so many of the meetings she took were with donors, right? It depends! In particular, it depends on what you think the missing numbers might be. In 2016 I scraped the Clinton Foundation donors list and [found](http://jonathanstray.com/what-data-cant-tell-us-about-buying-politicians) there were 4277 donors. We can use this to fill in another entry in the table, which leaves only `d` missing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = 85 # number of people who DID donate and DID get a meeting\n",
    "b = 4277-85 # number of people who DID donate and DID NOT get a meeting\n",
    "c = 154-85 # number of people who DID NOT donate and DID get a meeting\n",
    "# d = number of people who DID NOT donate and DID NOT get a meeting"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "# function to calculate risk ratio as a function of d, \n",
    "# the number of people who DID NOT donate and DID NOT get a meeting\n",
    "def clinton_rr(d):\n",
    "    return (a/(a+b)) / (c/(c+d))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's see what happens as `d`, the number of people who did not donate and didn't get a meeting either, increases. We have to go quite a long way out to find risk ratios greater than one."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='d'>"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = np.linspace(start=1, stop=5000)\n",
    "data = pd.DataFrame({'d':x, 'RR':[clinton_rr(d) for d in x]})\n",
    "data.plot(kind='line',x='d',y='RR')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this case the risk ratio is smaller than one until d exceeds 4000 or so. Below that number, donation actually made your chances worse -- or more precisely, correlated with a lower probability of getting a meeting. Again, it turns out we are actually trying to answer a causal question, for which we'll need more than a risk ratio as we'll see below.\n",
    "\n",
    "This result makes sense: we know that 85 people donated and got a meeting. The more people who wanted a meeting, did not donate and didn't get a meeting, the stronger the evidence that donation helps get a meeting. But since we don't know how many people fall into this category, it's difficult to say if donation actually helps."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exercise 3: Vaccine Effectivenes in Provincetown\n",
    "\n",
    "You may remeber that the CDC released a [paper](https://www.cdc.gov/mmwr/volumes/70/wr/mm7031e2.htm) in August 2021 warning that COVID infection was still possible among the vaccinated, based on a study of a COVID outbreak in Provincetown, MA. Much of the coverage focussed on the statistic that 74% of the people who contracted COVID were vaccinated. Unfortunately, this number may give a misleading impression of vaccine effectiveness. Instead, I want you to use the data in this paper to compute the risk ratio and better understand what was happening here.\n",
    "\n",
    "**Calculate risk ratio of getting COVID if you are vaccinated.** Every number you need is in the paper, but you will have to do a little bit of algebra to work it out. Hint: the risk ratio can be re-expressed like this\n",
    "```\n",
    "rr = (cases_among_vaxxed / total_vaxxed) / (cases_among_unvaxxed / total_unvaxxed)\n",
    "   = (cases_among_vaxxed / cases_among_unvaxxed ) * ( total_unvaxxed / total_vaxxed )\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.2638152468481207"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# These numbers are in the paper directly\n",
    "cases_among_vaxxed = 346\n",
    "cases_among_unvaxxed = 469-346\n",
    "\n",
    "# There is only one more number in the paper: 69% of residents were vaccinated\n",
    "# It seems like we have only three out of the four numbers we need, \n",
    "# but we only need the ratio total_unvaxxed / total_vaxxed, not the individual numbers\n",
    "# And we know 69% were vaxed meaning 31% were not\n",
    "(cases_among_vaxxed / cases_among_unvaxxed ) * ( 31 / 69 )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Relationship to Causality\n",
    "Why is this number greater than one? We know from studies of the vaccine that the relative risk of getting covid should be something like 5%. But that implicitly assumes that vaccinated an unvaccinated people act the same way. Here, it's very likely they don't. This outbreak centered around July 4 and Provincetown hosts a popular gay party scene, so perhaps out-of-town party-goers thought the vaccine made them immune and radically changed their behavior to be far riskier than the still unvaccinated.\n",
    "\n",
    "The deeper problem is that we often want risk ratios to tell us about causality. After all, this is why we compute risk ratios for medicines, corruption, discrimination, and so on. But causality is complex; risk ratios can only tell us about causality if we can be sure that the untreated and treated groups are identical in every way that could matter, such as during a randomized experiment. When analyzing observational data, this is usually not the case. **Risk ratios are correlations, not causes.**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exercise 4: Hiring Discrimination\n",
    "\n",
    "Risk ratios are also a basic building block of discrimination analyses. Consider this recent [Miami Herald story](https://www.miamiherald.com/sports/nfl/article258302943.html) about the hiring of Black head coaches in the NFL:\n",
    "\n",
    "> The chances of landing an NFL head coaching position were three times better for white candidates compared to their non-white counterparts — even after including the most recent hires and controlling for age, number of opportunities, previous coaching position and years of experience in the league.\n",
    "\n",
    "How do we get to this conclusion? Let's look at the data, which can be downloaded from the Herald [here](https://docs.google.com/spreadsheets/d/1lVPgIu7OKg40trVMnVlzg5EvnAByxXJCWQqGL1qDBis/edit#gid=0). For this exercise we'll use a slightly reformmated version of the data, with one row per candidate per year (candidates often apply for multiple jobs in the same year)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unit_of_Analysis</th>\n",
       "      <th>Coach_ID</th>\n",
       "      <th>Name</th>\n",
       "      <th>Age</th>\n",
       "      <th>Hired</th>\n",
       "      <th>Year</th>\n",
       "      <th>Number_of_Interviews_That_Year</th>\n",
       "      <th>Previous_Job</th>\n",
       "      <th>Previous_Job_Coded</th>\n",
       "      <th>NFL_Playing_Experience</th>\n",
       "      <th>NFL_Coaching_Experience</th>\n",
       "      <th>Total_NFL_Experience</th>\n",
       "      <th>Black</th>\n",
       "      <th>White</th>\n",
       "      <th>Minority</th>\n",
       "      <th>OC</th>\n",
       "      <th>DC</th>\n",
       "      <th>HC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Aaron Glenn 2021</td>\n",
       "      <td>1</td>\n",
       "      <td>Aaron Glenn</td>\n",
       "      <td>48</td>\n",
       "      <td>0</td>\n",
       "      <td>2021</td>\n",
       "      <td>1</td>\n",
       "      <td>Other NFL Job</td>\n",
       "      <td>5</td>\n",
       "      <td>15</td>\n",
       "      <td>8</td>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Aaron Glenn 2022</td>\n",
       "      <td>1</td>\n",
       "      <td>Aaron Glenn</td>\n",
       "      <td>49</td>\n",
       "      <td>0</td>\n",
       "      <td>2022</td>\n",
       "      <td>2</td>\n",
       "      <td>Defensive Coordinator</td>\n",
       "      <td>4</td>\n",
       "      <td>15</td>\n",
       "      <td>9</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Adam Gase 2015</td>\n",
       "      <td>2</td>\n",
       "      <td>Adam Gase</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>2015</td>\n",
       "      <td>5</td>\n",
       "      <td>Offensive Coordinator</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Adam Gase 2016</td>\n",
       "      <td>2</td>\n",
       "      <td>Adam Gase</td>\n",
       "      <td>37</td>\n",
       "      <td>1</td>\n",
       "      <td>2016</td>\n",
       "      <td>4</td>\n",
       "      <td>Offensive Coordinator</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>13</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Adam Gase 2019</td>\n",
       "      <td>2</td>\n",
       "      <td>Adam Gase</td>\n",
       "      <td>40</td>\n",
       "      <td>1</td>\n",
       "      <td>2019</td>\n",
       "      <td>2</td>\n",
       "      <td>Head Coach Previous Season</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unit_of_Analysis  Coach_ID         Name  Age  Hired  Year  \\\n",
       "0  Aaron Glenn 2021         1  Aaron Glenn   48      0  2021   \n",
       "1  Aaron Glenn 2022         1  Aaron Glenn   49      0  2022   \n",
       "2    Adam Gase 2015         2    Adam Gase   36      0  2015   \n",
       "3    Adam Gase 2016         2    Adam Gase   37      1  2016   \n",
       "4    Adam Gase 2019         2    Adam Gase   40      1  2019   \n",
       "\n",
       "   Number_of_Interviews_That_Year                Previous_Job  \\\n",
       "0                               1               Other NFL Job   \n",
       "1                               2       Defensive Coordinator   \n",
       "2                               5       Offensive Coordinator   \n",
       "3                               4       Offensive Coordinator   \n",
       "4                               2  Head Coach Previous Season   \n",
       "\n",
       "   Previous_Job_Coded  NFL_Playing_Experience  NFL_Coaching_Experience  \\\n",
       "0                   5                      15                        8   \n",
       "1                   4                      15                        9   \n",
       "2                   3                       0                       12   \n",
       "3                   3                       0                       13   \n",
       "4                   1                       0                       16   \n",
       "\n",
       "   Total_NFL_Experience  Black  White  Minority  OC  DC  HC  \n",
       "0                    23      1      0         1   0   0   0  \n",
       "1                    24      1      0         1   0   1   0  \n",
       "2                    12      0      1         0   1   0   0  \n",
       "3                    13      0      1         0   1   0   0  \n",
       "4                    16      0      1         0   0   0   1  "
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coaches = pd.read_csv('FINAL_coaches_by_year.csv')\n",
    "coaches.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's strip this down to just two variables of interest: whether they were hired and whether they are Black."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Hired</th>\n",
       "      <th>Black</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Hired  Black\n",
       "0      0      1\n",
       "1      0      1\n",
       "2      0      0\n",
       "3      1      0\n",
       "4      1      0"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coaches=coaches[['Hired','Black']]\n",
    "coaches.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can count the number of Black and non-Black coaches hired like this"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hired_black = sum((coaches['Hired']==1) & (coaches['Black']==1))\n",
    "hired_black"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "48"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hired_not_black = sum((coaches['Hired']==1) & (coaches['Black']==0))\n",
    "hired_not_black"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "But of course this doesn't tell the full story because it doesn't account for how many applied from each race. \n",
    "\n",
    "**Compute the relative risk of being hired if you are Black.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.35074626865671643"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "not_hired_black = sum((coaches['Hired']==0) & (coaches['Black']==1))\n",
    "not_hired_not_black = sum((coaches['Hired']==0) & (coaches['Black']==0))\n",
    "\n",
    "(hired_black / (hired_black + not_hired_black)) / (hired_not_black / (hired_not_black + not_hired_not_black))"
   ]
  },
  {
   "attachments": {
    "coaches-chart.png": {
     "image/png": "iVBORw0KGgoAAAANSUhEUgAABNgAAATUCAYAAAC6dLoHAAAABGdBTUEAALGPC/xhBQAAAAFzUkdCAK7OHOkAAAAgY0hSTQAAeiYAAICEAAD6AAAAgOgAAHUwAADqYAAAOpgAABdwnLpRPAAAAAZiS0dEAP8A/wD/oL2nkwAAAclpVFh0WE1MOmNvbS5hZG9iZS54bXAAAAAAADw/eHBhY2tldCBiZWdpbj0n77u/JyBpZD0nVzVNME1wQ2VoaUh6cmVTek5UY3prYzlkJz8+Cjx4OnhtcG1ldGEgeG1sbnM6eD0nYWRvYmU6bnM6bWV0YS8nIHg6eG1wdGs9J0ltYWdlOjpFeGlmVG9vbCAxMS44OCc+CjxyZGY6UkRGIHhtbG5zOnJkZj0naHR0cDovL3d3dy53My5vcmcvMTk5OS8wMi8yMi1yZGYtc3ludGF4LW5zIyc+CgogPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9JycKICB4bWxuczpkYz0naHR0cDovL3B1cmwub3JnL2RjL2VsZW1lbnRzLzEuMS8nPgogIDxkYzpjcmVhdG9yPgogICA8cmRmOlNlcT4KICAgIDxyZGY6bGk+Q3JlYXRlZCB3aXRoIERhdGF3cmFwcGVyPC9yZGY6bGk+CiAgIDwvcmRmOlNlcT4KICA8L2RjOmNyZWF0b3I+CiA8L3JkZjpEZXNjcmlwdGlvbj4KPC9yZGY6UkRGPgo8L3g6eG1wbWV0YT4KPD94cGFja2V0IGVuZD0ncic/PhchE/AAAIAASURBVHja7J13WBTX18e/wFJFmoCIWFBUUETsvXdjjDWx/WI3aoxii91YExOxN6KoxJKY2EusiBXEjoqKFVRQmvSywLL7/sGz953Zme2zC5j7eR6eh53Zmb1z595zzz333HNMZDKZDBQKhUKhUCgUCoVCoVAoFApFJ0xLuwAUCoVCoVAoFAqFQqFQKBRKeYYa2CgUCoVCoVAoFAqFQqFQKBQ9oAY2CoVCoVAoFAqFQqFQKBQKRQ+ogY1CoVAoFAqFQqFQKBQKhULRA2pgo1AoFAqFQqFQKBQKhUKhUPSAGtgoFAqFQqFQKBQKhUKhUCgUPaAGNgqFQqFQKBQKhUKhUCgUCkUPqIGNQqFQKBQKhUKhUCgUCoVC0QNqYKNQKBQKhUKhUCgUCoVCoVD0gBrYKBQKhUKhUCgUCoVCoVAoFD2gBjYKhUKhUCgUCoVCoVAoFApFD6iBjUKhUCgUCoVCoVAoFAqFQtEDamCjUCgUCoVCoVAoFAqFQqFQ9IAa2CgUCoVCoVAoFAqFQqFQKBQ9oAY2CoVCoVAoFAqFQqFQKBQKRQ+ogY1CoVAoFAqFQqFQKBQKhULRA2pgo1AoFAqFQqFQKBQKhUKhUPSAGtgoFAqFQqFQKBQKhUKhUCgUPaAGNgqFQqFQKBQKhUKhUCgUCkUPqIGNQqFQKBQKhUKhUCgUCoVC0QNqYKNQKBQKhUKhUCgUCoVCoVD0QGSIm+bn5+Pvv//W+Ps1a9ZEp06dAACxsbG4evWqxtc2btwYjRo1QkxMDCIjI1nnunXrBg8PD9axqKgoREVFAQAqVKiAIUOGcO65f/9+SCQS8rlnz56oUqWK1s9VpUoV9OzZk3w+duwYMjMzeb8rEong4OAAb29veHl5aVXfqupMJBLBzs4OtWvXRr169SASKX/lfOUbOXKkymv4ePnyJcLDw1nHbGxs8PXXX2t1n6KiIkRERODatWv48OED0tPTIRKJ4Orqivr166NHjx6oXr260jrw9fVFs2bNWMdkMhn+/PNPFBUVkWPVqlVD165dDVY2Re7fv4+TJ0/i4cOHSEpKgkgkQuXKldG6dWt89dVXqF27ttHrOjMzE5cvX8bt27eRnJyM7OxsWFtbw93dHY0bN0bPnj1hZ2cHALh58yaeP3/Oup6vrwHAkSNHkJ2dzTrGbFP69ik5EokEYWFhiIyMREJCAvLy8mBjY4MqVaqgQYMGaN++Pdzc3NTeX9M+kJubi0OHDrGOOTs7o2/fvuRzQkICLl68yPqOl5cX2rVrRz7z1aUcExMT2NnZoUaNGvDz81PaDw0ll0QiERwdHeHq6oqGDRvCyspK49+Qw5S32uDm5oZevXoprSNd2xsf169fx+vXr1nHatWqhQ4dOii9hq/OTU1NMXLkSJiactetzp8/j48fP5LP8jFFGQcPHoRYLCafFdsWUCLL9u7dC5lMBgBo27Yt6tSpw/pOdHQ07t69Sz5XrlwZvXv35vyeRCLBpUuXcObMGbx69QqpqamoWLEiqlatii5duqBv376oVKmS0vJGRkYiJiaGdaxjx47w9PRkHePrN61bt0a9evWU1ivfs/NhyHYMGHacVYaJiQlGjRqlc7n4kOtMAPDnn3+isLCQdX7o0KG8dRQaGor4+Hjy2c/PD02aNAGgWo5ZWVnB0dERDRo04O2zhqoXTcc0Q8koVfTu3RuVK1cGoPr92draolKlSqhVqxZq1KihdRkB48iSf//9FykpKazvDx48GLa2tkhMTMS5c+d0Kvvo0aOV1hGffgcA4eHhePnyJeuYsvGCiT7vUJGyIk8V0VVfFGpuYIi6UieXHRwciFzmG5sBYeSXIpmZmfj3339x8eJFxMfHIysrC5UqVYKnpyd69+6N7t27w9LSUqfnAkrmr25ubmjcuDFsbW0558+dO4fExESt34e/vz/8/f0hFotx8OBB1jl7e3sMGDCAc41in7O2tsY333yj8lmY8lORP/74g8giABg1ahRMTEwAqNer9ZHnbdu2xZEjR1jHK1asiEGDBvFec/bsWSQlJZHPjRo1QuPGjbX+bcrniUEMbLm5udiyZYvG3+/SpQsxsL148UKraydNmoRGjRohKSmJc52DgwNHIB4+fJgM9qampvjyyy9ZymROTg42bNjAKZ8uz9W8eXPWRHb//v14+/at2us8PT0REBCAtm3bavQ7mtaZk5MTRo4cqXQSyFe+r7/+WutB9OTJk/jrr784x3v06AEHBweN7nHlyhWsXr0aqampnHMxMTG4du0aLly4gH/++UdpHYwcOZKjgF25cgXr169nHfvll1+0ej5tyyYnJycHq1ev5iibhYWFiI2NRWxsLP766y+MHTsWEyZM0Kje9a1riUSCvXv3Ijg4mDPRAkqU6gsXLuDNmzeYO3cuAODy5cs4evQo63u1a9fmVT727dvHmpQB7Dalb5+Sl3HhwoVISEjgveb06dNYs2YNli5dij59+qi8v6Z9ICcnh1Nub29v1sTl7du3nO/07duXZWDjq0s+HBwcMGbMGAwfPpwoGnKMIZcsLS3Rpk0bTJ48GbVq1dL4t27duoWdO3dq/H05TZo0IcqXkO2Nj+3bt+PFixesY15eXioNbMrqvFatWqz3K+f48eO4c+cO+ezj46PSwHbq1CmWwu/q6sqZFL9//x6bN28mn3NycjiT4gsXLuDPP/8kn3v16sUxsL19+xYLFy7kTOgyMjKQkZGBJ0+eYM+ePVi0aBG6devGW96rV69yJnpVqlThTAj5+o2trS2ZEPLVq2K/UoYh2zFg2HFWGaampmoNSbrqTADw9OlTznjEZ4ARi8VYsWIFcnNzybHg4GDyv6ZyzMfHB9OmTUPz5s0NVi/ajmmGklGq8Pf3J8YZTd9f9erVMXjwYK11MmPIkkOHDiE6Opr1/R49esDW1hbx8fFatU8mcgObpvodAISFheHEiROsY8rGCyb6vEMmZUmeKqKrvijU3MAQdaVp/3FxccG4ceMwaNAgjg4lhPxicuPGDSxbtgzp6ems48nJyUhOTsatW7fwxx9/YNWqVahbt65ezyUSidC/f39MnTqVZWg7evQo7t+/r/U7mTBhAjGwKf5+jRo1eA1sin3OycmJZWDjexZzc3O0bt0a9vb2nPtt3boVUqmUfGYac9Xp1frK86NHj+LDhw+sc+3ateP0dbFYjJUrV6KgoIAcCwoK0vp3KZ8vn80W0Zo1a3KOKXYSAHj27Bn5XyqV4tWrV6zzipMzkUiEqlWrGvVZYmNjMX36dM4Aqy9paWnYtGkTZs6cieLiYoOVX9nqwcOHDzW6fv369Zg9ezavAYtJ+/bttS7brl27WJ9r1qyplfearmUTi8X4/vvv1a7kymQy7Nq1C8uXL9eoPPrUdX5+PiZNmoRt27bxTkRUPU9Z4eHDh5gwYYJS45ocqVTKKyPKCxkZGVi/fj0WLlzIWtkzFgUFBbh8+TKGDRvGmliXd3JycjhjAAC8fv2a4wmnCdpM0FSh2FZTUlJYXrcAeywDwLsC//79e5X3fffuHcaOHcuZ4PDV07x583D8+HFBnq+0MEY7NtY4KwSDBw/mHDt58iTnWGhoKMu4Vr16dfj7+2v9e8+ePcOUKVO08rjVhs9hTFPGu3fvsG7dOgwbNoyjp6rCWLKEUvblqb66uZAYu65SUlKwevVqLFy4kGW80QZN5FdoaCgCAgI4xjVFYmNjMW7cOK28JvmQSCQ4fPgwxowZg4yMDL3uZUyKiopw+vTp0i4GBz6vutDQUM6xGzdusIxrzs7OxKObQgE+IwObh4cHZzVF0cCWl5eHd+/esY4pCndFxaVatWowMzMrlWcKDAzEkydPdLrWwsKC120YKBEMBw4cMEiZ8/PzOd4gch48eKD2+q1bt2pcto4dO2pVths3bnDe99ixY5W6jQtZtuXLl2v1Ls+cOYOQkBCV39GnriUSCQICAjRypbaxseFdKS5tCgsLsXDhQs5kgY9KlSrBx8entIusNxcuXOBdgTYWxcXFCAoKwsaNG0u7KgTh0aNHvMq2TCbTadJx48YN1pYBXVGcvMpkMtYWU0CzSbHieMa8b35+PqZNm6bxtjygxNtXl+0XZQ2h2nFpjbNC4e/vzwlJcP/+fU67UfQI6tevn86/KZPJEBgYiHv37gn6LJ/DmKYJsbGxmDBhAkeXVYYxZAml7MtTfXVzoctSWnV14cIF7N69W+frVcmvFy9eYMmSJVrVQ0BAgCCGsdjYWKxYsULv+xgToRYkhYRvl4villQAuHTpEutz9+7dNZ5LUv4bGGSLKB81atTA4sWLec+p28rWo0cPpTEC5HGVzMzM4OHhgbi4OHJO0avl+fPnHO8PRUVCWyVC1XMpU7yZhISEQCaTITY2Fnv27GGtEhYXF2PXrl1Yt26d1vU9duxYjB8/Hjk5OThz5gzWrVvHiiv3559/4ttvv9X6vup49OiR0lV7dYPjgwcPsGfPHs7x2rVrY8SIEahXrx6Ki4vx8eNH3L59G76+vlqVTdF7zcPDgzeel9Blu3fvHi5cuMC6ztLSErNmzUK3bt1QWFiIv//+m3P/4OBg9OnTB66uroLXdUhICK+C0LZtWwwcOBBVq1ZFbm4uYmNjkZGRAQsLC63qWh807VMXL17kxJioXr06pkyZAk9PT+Tm5uLZs2cIDQ1F9erVOdsCyipz585FgwYN8OHDB5w4cQI3b95knd+zZw8GDx6s8p3oK5fGjx8PiUSCuLg4REREcLxB9u3bh0aNGpGt/cro2bMnZ7vKr7/+yonXs2DBAjg5OZHPmm4l1xdV/SQqKop3u6cqpFIpTpw4gYkTJ+pVLmUe2cy4joqLBWlpaUhNTYWzszOAkomA4iIT87579+7ljHfu7u6YP38+/P39kZiYiE2bNuH69evkfHFxMdasWYN9+/aVC2VSqHasDKHG2S1btugcG44PTXQmOQMHDsSaNWtYx06ePIkpU6YAKPFcYk7ATU1NNdqyO3fuXNSvXx+JiYnYv38/Hj9+TM7JZDJs3rxZ7SKSNvWi65hmKBn1ww8/kK24iqiLs9uoUSO0atUKnz59wp07dzjb81JSUrBgwQL88ccfaheAjSFLVOHl5YXAwEDWscOHD3NiJn/zzTdqt94ZG23eYVmXp/roi0Jj6Lrq168fBg8ejKysLJw9exb//vsv63xISAiGDBnCuz1Rji7ya+3atZwxpkWLFggICED16tXx5MkT/PLLL6x5akpKCoKDgzF79my19SZ/royMDISHh3M86a5evYqYmBh4e3tjypQpLMNddnY2li1bxvq+g4MDFi1axDpmTMP527dvce/ePTRt2lSwe+orz2vWrAlvb2+WTIyOjsbHjx9JWI+CggJOLENN55KU/w5GM7BZW1vrtKUAKIkZocm1NWvWZAkuRYVAcZUOUO/BphjzQMjnAkriy4hEIjRs2BAdO3bEV199hZycHHI+IiICBQUFKoNhqsLW1hZff/013rx5g8OHD5PjqampiIuLE1yYqloJi4mJgVgs5lWYpVIpVq1axTnepk0b/Pbbb6xr6tevr3VSgtu3b7MGSKBkcqSJd6K+Zdu6dSvn2sWLF7Nckb///nsUFRVh//795JhYLMauXbswf/58Qes6ISGBY2wEgIkTJ3IMA8qUS0OiaZ9SVNBNTEywadMmVqwVPz8/fPPNN2q3C5Ulqlevjvr165O29N1337FiaaSnp+PRo0cqPTD0lUvffvstbGxsAJTEDVmwYAFHCV+9ejVatWqlcgJcs2ZNjoxhxvqR06pVK7i7uxuxlktQ1Yd0XdU/fvw4xo0bp5fnM59cVlww4ttaExMTQ4yCKSkprC0MJiYmZFKdnZ2Nffv2sa61sLDAtm3bSP/x9PTEmjVrMH78eFZ8pefPnyM0NBQ9evTQ+fmMhVDtWB36jrN+fn6knEKgqc4EAF988QU2b97MCoR/+vRpTJo0CaamphzvtTZt2hDDiyqqV6+OBg0aoEGDBmjXrh1GjBjB0s+io6Px9u1blcH7Na0XfcY0Q8moWrVq6SyDGzZsiAkTJpDPx48fx+rVq1nG25iYGPzzzz8YNmyYynsZWpaow8HBgWPAjoiI4HzP29tbZ0O3odD0HZYHeaqrvig0xqgrZ2dn1K9fH0BJvzUxMWFtRxSLxbh06RIGDhyo9B7ayq/IyEiOgd/LywsbNmwgxvymTZti27ZtGDJkCGvL/eHDhzFy5Ei1ibiYz9WmTRtUrFiRE+rgypUr8Pb25rRbvrA2VlZWpd7njh49KqiBTQh53qdPH45MDA0Nxf/+9z8AJe86Ly+PnHN3d9fa4YPy+VP2l6C1QLFTffr0iaU08hnYXr9+zVJaSjPOhL29PWf/t0Qi4WS40wU+AaZLhhl1MCcvdnZ2rEmmRCLhBMKVExkZyRq8AMDR0RErVqwQZNBXHITc3NzUBrwXomwJCQl49OgR65iXlxfvPv8JEybA2tqadezChQus9ilEXR89epSzrbJFixYshb48oNh+q1SpojSQsTE98ITExMSEN9MxnywzFK6urtiwYQNHGUlNTeWNTVFeKCoqwtOnT8ln5momUBIAXhfDbHJyMmd1U1v4PC6ZC0bx8fGshRg5TKVQcSyrWrUq6QeXL19mjY0AMGDAAE7/EYlEmDp1Kud3zpw5o9fzlQbGaMfGGmeFxNbWljNhTU5Oxp07dyCTyTjeH1999ZXWv2Fpack7mVUcG3XlcxnTlNG/f38EBARwjv/9999qY3IaWpZQyoc81VVf/Bzqis8IrY3s0UR+nT17lnN+4sSJnH7i6urKKY9EIuHdhqgOZiIBOepi2pU1wsLCylzsuJ49e3K8JJm7kBS3h1LvNQofn7WBDWArt3yT0sLCQpbxpLTjTFSrVo1zTF2wTE1QNNwAUGq40RXFQdrb25uTIEKZKzpfYOWhQ4eqdOHWlKioKE42nTFjxmicAUmfsoWFhXGOKRPGFSpU4MRuy87Oxq1btzjf1bWui4uLORMmoEQRKC9bKOUoTizS0tI4itvngKFkgjbY2tpi3LhxnOOnTp0qtXrRl6dPn7K8MhQ9T4uKijSOm6goS/SNLWJpacnJMsqcFCszsDJDHqgay7SRS02bNoWLiwvrWGRkJO+kvKxj6HZsjHHWEAwaNIhz7PLly3j48CFra42Dg4POyQG8vb05xxRjgenC5zSmqWLw4MEc43B8fLzaTIGGliWUsi9P9dHNP4e68vLy4niUayt7VMkviUSCq1evss7Z2NgoDTHBt7ivyyKPo6MjKlSowDpmbN1QF5j6UllMdlCpUiW0aNGCdezZs2dISUmBVCrFjRs3WOeogY3Cx2dvYJO7wufn5ytNAS+3+BcWFiI5OZl1TtX2BUNQsWJFzjEhlEQ+92Blsb10Re5mLqd27dqcd6JsEFfc7gfwZ3PRBUXvNRcXF62CNOtTNr5VMj8/P6Xf59uOoLi1FdC9rl+9esVpC25ubnptJywtFNuvWCz+rDJcyjGUTNCWrl27cpTUhw8fapRkoiyi2D9atmzJiU+n6aTDz8+PtVIdHh6ut+eS4tjDnBQrW6XWdFKsKFNEIhHZeqKIiYkJRz5IJBKjelEKiSHbsTHGWUPQoEEDzgTy2rVrnNihX3zxhcYLU4rwxX4UwqjwOY1pqhCJRLyhMe7cuaP2WkPKEkrZl6f66OafQ12ZmZlxFj+0lT2q5FdcXBznfj4+Pkq9PKtXr87xmI+JidFpDFLUD8vDooJieJPykuzg3r17ePbsGbKyssixWrVqqY2pSflv8tkb2OSKBDPBQY0aNWBubk6+I1ckEhISWF4xLi4unNUBQ8O3+iCEgq7oBeXg4KA2vpy2KA7QXl5enN/gC7TKt0WhSpUqnBU2XXjy5AnHQDZq1CjW+1eFvmXj296rmLWNSZ06dTjHXr16xTmma13zKSblNZsaX0rskJAQvTJElUUMJRO0xdbWlhM8ViKR8LbP8oBiTBovLy/OGKJpHDYTExO0adOGfJbJZDh+/Lhe5VMsCzNuErMfM2XGhw8fkJ2dDUB5uIPU1FRO9rYaNWqoNJzwySUhQheUBoZsx8YYZw2FohdbcnIypw3rkz2Uz7uYz+NPWz6nMU0dfFuQNdkSZihZQikf8lRXffFzqiumtzqgvexRJb/4xg5Vej7fcxUXF3NC0ahDJpNxtleWhwUdX19fVpKYd+/e4e7du6VdLBadO3fmhAC6d+8eZ4yn3msUZXxWBjZbW1tUqlSJdUyuSDCVkBo1arCCScoNbGVhlU5xQmdlZaU0rpQmyGQynDhxgrNn/JtvvtHYyKQpioO4j48PZxDJy8vDy5cvWcf4UofXqlVLkDIpejRVqlQJAwYM0Ph6fcomlUo5bcrc3Fxl9jFFd3gAvIOurnWt+Fmb5ylrdO/enTcG3rZt27Bq1apysTVLE/hWlktrxYxPFpVHQ4tMJmN5l1asWBFVq1bl9KFHjx5BKpWqvV9eXh66devGOnbixAm9JiyK409GRgYJrMscz1q2bMn6nrrxjM+Tm0/uqDuv7WSgLCF0OzbmOGsoevXqxVlQZMYgbNCggdpJoyp0aXea8DmNaerga7dv3rxRe52hZAmlfMhTXfVFoSmtuvrw4QPHO0yTRC2alv3du3el8lyKnolA6emG2iAWiznJFY4cOVLaxWJhbW3NKeO9e/dw+/Zt1jFqYKMow2hZRDMzM3njnFhYWKhtoPv372dlV5RTp04d/PXXX6xjNWvWxKdPn8hnuQcbU4moXr06xGIxWZV78eIFZDKZTkpETEyM0tXSy5cv827vUkZkZCRnb7cyI4I6/v77b5w/fx6JiYnIz89nnevSpQtvHBp9YQ7iVlZWqF27Nm8GsAcPHrC2o/AFuBQio+CLFy84wvB///ufVhlZ9SlbXl4eZ3KuLm4bn/GNz5W9rNX1jBkz9L6HHE37lL29PSZMmMCbIejYsWN4//49fv31V73j+HXo0EGwZ9OWxMRETsatqlWr8nrv6VKH2sK3Osp0lzcW+ra3169fs8rt6+sLExMT+Pr64tixY+R4Tk4OXr16hbp166q8X35+Pjp06AALCwtilEhJScH169d1ztKlzCPbxsaGVfYWLVqwxsfnz5+jWbNmSsczuVcKE1VGf2Xn+e5TXhCqHQs1ziqTMYGBgTq1H210JjnW1tbo3bs3KwsqE12SGzA5d+4c55i6LNWa1IuhxjR9USajhg4ditmzZ+t0T13braFkSWmirI0LiSbvsDzIU131RaEprbrikz3abiFXJb9K47kKCwuxceNGzvG+fftq9VylQX5+Prp3787ykL58+TLS09Ph6OhY2sUj9O7dm/Xe3717x/L+bdCggV4OMJTPG6MZ2D5+/Ihly5Zxjtvb2wtqAa5ZsyYrVbI8CCXTE8nDw4NltMjJyUFycjIndbkxlIht27ZBJpPh/fv3uHbtGuuclZUVRo0apdN909PTebeWjRw5kjcblb7ExcWxFN0GDRrAzMwMHh4ecHBwYJ2LiopiZdHhMyAJsTVX0bgGaD+o6lM2ZhpuOeqMe3zeDor3KYt1XVp8++23iI2N5Q2SevfuXYwePRpbtmwRZLuxsThx4gRu376NT58+4cqVK5x3NmnSpFKLs8EXU4SvnZd1FFf0GzZsCKCkL/F9V52BLS8vDzY2NujUqRMrbtWxY8fQqVMnneJWKUvaw/TMdHJy4ngivHnzBtnZ2ax2Y29vTxR6Znp5OeoyAmoil8oTQrVjY4+zhqZJkyZKDWzdu3fX6Z65ubnYvXs3Z2tNnTp1BPG2+NzGNFXw6Q+5ubmQyWQqxwRDyRJK2Zen+uiL5b2uJBIJQkNDOTtZzM3NeeMZ8qGJ/NLlufh0Ar77MLl79y42b96M3Nxc3Lx5kzNn7d+/f5lYXFBHXl4emjVrBhcXF5JERyKR4NSpU/j2228hEol0yuAuNK1atYKjoyNrjGfuSqDeaxRVGM3AZiz4XOFlMhnLhdfLy4vjLvzhwwekpaWpvJch2Lt3L+9xMzMz/PTTT4KXYf/+/UhISMCiRYsEydApR9mEFSgZ0MPDw5V+V3HlH1BviNKVv//+G76+vhp/X5+y8Q0QisG1NTmvGDuivNS1MTAxMcGSJUsgEol4Y169f/8ekydPxp49ezjbx8sqioHFmQwdOhS9e/cutbLxKbuK7bM8oKwP1apVCzY2NixFNyoqCl9//bXK+8n7+sCBA1nvLyIiAqmpqTr1sUqVKqFixYqsVe2MjAyWh7aXlxdcXFxY30tISGB9B2CPZYaSS+UJQ7djQ42zhubixYtKzz1+/JgVZ1AdP/74I8zMzJCTk8O7zXratGmCLBR8bmOaKvj6oUwmQ1FRkcoJvaFkCUU3ecpnXDGUPNVHXxQaY409Bw4cwJEjR5Cbm8sbKmTkyJFqt3BqI7/4yqNLG+CL88bk0aNHvInTgBIv/Dlz5qA8UFhYCDMzM/Tv3x87d+4kx+UGNktLyzJhYDMzM0PPnj1x8OBBzjkTExOdF50o/w3KhYHN2dmZFTNNTvXq1TnHFAf/zMxMJCUlEcFlYmKCevXqsZIZACWKhC4GNisrK6WrsOoErDLs7e2xbt06tdsnVNG2bVu0bNkSmZmZiI6OZq2+XL58GW/fvsXu3bt5M+PogmLsOKYRS3EQ//TpE96/f49q1aqROlRECGWjWbNmnMCZFy5cwNSpU1G5cmWN7qFP2fiuVTdo8J1XDMYqdF0LMZDVqFGDd9vh8+fPtc6MpG2fMjU1xaJFi1CpUiXs2rWLc/7Dhw+YO3cudu7cqdOErn79+jA1ZYerLCoqYmVZMwbz58/nBCIXqg41hU8B5NtqYmj0bW+KEwl5HzI1NYWPjw/LC1qTRAfy8aRZs2aoWbMmiaUik8kQGhqq0zZ/+XNGR0eTzxkZGaxYMPLtPPXq1SOy7sOHDxyvKuZYxlcWdXXGJ/OECFBfWgjVjoUaZ/lkDADY2dnp9Hza6Exy0tPTcf36daXnjx49qpWBTZmXiYmJCWbOnInWrVurvYcm9WKoMU1flMkofTxM+PqhSCRS6y0jL4/QsqQ0UdbG4+PjebcN64Im71AXecpn9DGUUVgffVFojDX2FBQUKNXTu3XrhkmTJqktqzbyq7TH1L59+2LBggUayYGygFxfGjBgAHbv3k28wmJjY/Hq1StYWVmVmRAUvXv35jWwNWnSRJAYopTPF6MZ2Nzd3XmFmiYCoVevXhpvt1Ac/PPy8ljBi6tXrw5ra2vUq1cPJiYmpKMrKhLW1tYaGWFq1qyJkJAQneulVq1aiI+PZymEBQUFvJlztKFhw4YYPnw4+Xzw4EEEBgaSz2/evMGuXbswffp0vX5HjqpVMj6PsaioKDKI823nUOcqrQne3t4wMzNjTXqKi4vx119/adye9Ckb34RNnXGObzVe8T5C17UQWxMCAgLQvn17zvH+/ftz4reoQ9c+NXnyZHh6emLFihW8Xn/nz59Hr169tL5vUFAQ5x0kJSXhiy++0Lve+KhSpQry8vJ4s20Zug7VwddWdI3npg/6tLfExEQkJiay6or5DL6+viwDW0pKCj58+KDxxHjQoEFYu3Yt+XzhwgWdg67XrFmTNSnOzMxkeWPLs2H6+PiQSXFSUhJSU1M595HDJ5fUrZyXFcOqUAjVjoUaZ/lkjD5oozPJ+ffff1kTfzc3N1Y/uX79OlJSUvSaVHh5eSEgIACtWrXS6Pua1IuhxjR9USaj9IFP99B0kdQQsqQ0UdbGV6xYgRMnTgjyG5q8Q13kKZ8B2FDyVB99UWhKc+xxcnLC2LFj8c033+jsOatMfvHJIF10fXVb2x0cHGBlZcWSy0CJrC4vxjUmrq6uaN++Pa5cuUKOnT9/XucFSUPQoEEDVK9enZPIgm4PpajDaFlE7ezs0KdPH86fYuY1fXFzc+N0zsePH5P/5at0NjY2rNVcRQObNpNZffjzzz85wYPFYrHKrRq68M0333AMhidPntQoQ546UlNTWbEA3N3dWdvx+OIaMVfV+OJ5yJNT6AtfDLtjx47xxm3hQ5+y2djYcNzAMzIyVGYWVNyOAbATI+hb13zblYSq67JAr169sGPHDt73xgxeX5ZZtGgR5s+fzzl+8uTJ0i4ab1txcnIq7WJphaoJB6C+D6mjb9++rDHo0aNHOntU8Hlk83mdMANTFxcXs5L6KN6HzyuKT+4wUZxkA+qDOJdlDNWODTnOGhrFLfY//vgj63NxcbFWhotu3bph5MiRGDduHH788Ufs378ff/31l8bGNU353Mc0JooxlwBoHPrAELKEop08lRuw+QzA2ma11AR99cXSrCvmMyiibuzx9fXFyJEjMXr0aEyfPh3bt2/Hv//+i6FDh2psXNNGfvE9F1+51T23unACAwcOREhICMer9/Tp05xdWeWFwYMHsz5fvHixTBnYgBJPakVUeYNTKEA52SKqDSYmJqhWrRor3TRzz7p8lQ4oWamTKxgJCQmsSZAxlYi+ffvi0KFDrGOnTp3SO2uXYr14e3sjKSmJHMvMzERCQoLeq1WKA3JOTg4mT57MOmZmZsYyLDEnuXxb2V69eiXIc7do0QI+Pj549uwZOZabm4ujR4/i22+/VXu9PmUzMTFBzZo1Wd+XyWRISkpS6g0jT8rBxNPT06B1zfTw/Bxo0KABNmzYgLFjx7Imtg8ePEBBQUG5iM/ToUMHTsycsLAwzJ07t1QDeL9584ZzjClTywOKBrYHDx6w+hDfynJUVJTGHosVK1ZEjx49WAbRmzdv6lRWxXEoPj6eLARZW1sTJc/Hx4f1vSdPnii9D583HZ/cYaK4Ys5XtvKEodqxIcdZQ/Lw4UOyrRkAqlWrhg4dOnBW7o8fP46xY8fybttUZMCAAWjZsqXBy/5fGNPk6NNuDSFLKPzylE9ehoSE4ObNm1i/fj2vccUQi/r66ovGqCtDjD0tWrTAlClT9CqrNvKLqaOrKre65+a7jyLOzs5o3bo1a2tvYmIi7ty5gxYtWuj1zKVBy5Yt4eHhQXYexMfHlwsdnUJRh9E82IyJovBlGtiYq3PM/589e8aajBtTiWjQoAHn96KiojguqfrC51atuA1NFxQH8aysLNy5c4f1p+i19e7dOxLzTr5tl0liYiJrdVUf+LzY/vrrL944GIroWzY+5V9V7C7F1WLFe+hb13wp2CMjI8vt6pcyfH190aFDB9YxqVRKMhaVdSwsLDgu6IbwbNWGuLg4jtJYsWLFcpemXLEPxcfHs/oPcxuVsmvUoRgrT9eYkqrGMnmYA6DEIMI0vDKfwdzcnGXQt7Oz43hLJCYmqhwL1MklPq8ATWWKsTPiGrodG2qcNSSKnmmdO3cGAHTq1Il1PDExEREREaVdXBb/lTEN4DfUKxrElGEIWULhl6cfP35EVlYW+Xz8+HFs2bIF9+7dw5QpU1gLvnIMIU/11ReNUVf6jj1lAb7y8JVbjkQi4SwCmJuba7wI07dvX84xY+xwMMSYbmJigoEDB7KOlecEShSKnP+EgY25h5+52sdUzBT3+Rt7lY5PYJ46dUrQ32AO+HKE8IbRdcVLfp2pqSnvysvRo0cFee4uXbpwJk8pKSk4d+6c2mv1LVuTJk04x1R5s/BNXpo2bcqpM22RX+ft7c1xr09NTVUZ3Lq8wufCXR62askpLSVKGXyBXjt27Fhq5dGFrKwsnbxb4uLitNrm2aBBA96Jv7Z4eHiwtpkzxynm/eXJe/i+V61aNU5iC6ZMkRMZGclbhpycHE7mMmtra9bv840jfPWlGDBd2bWGxNDt2FDjrKHIy8vjGO7l3pp8XptHjhwp7SKz+K+MacnJyaxYRXIUF5KUYShZQuGXp7dv3wZQIgeZMTmjo6Nx/vx51ndtbW1Z2zWFkqf66ovGqit9xp6yQLVq1TixKV+/fq10Qffu3bucJAj+/v4a962OHTtyYoZevnxZ49A3msAX25GvvfEd13a869evH29mbwqlPPOfMLDJcXNzY+1xVyWkjW1g++KLLzjbLv7991/BDALFxcV4+vQp65hIJNI4m6YycnJyWNtx5VtkFP9q167NuZa5uvbll19yzh8+fJh1b10xNTXF//73P87x/fv3a3S9PmXr0qULZ9C8cOEC7yTs5cuXrHiBQEkQUHk2WSHqWiQSoXfv3pzzmzZtKhOBoYWEz5BSnuKF+fr68nodCOXZqQ2RkZG8MeyE3MZuDB4+fMj6bGtry9uH+LLTaTvpUIwtogsikQhVq1blPae4NUzZeMY3lvGllz98+DDv9adPn+YE5e7YsSMrToqrqyvnOr4VfL7t9YaIPaQMQ7djQ42zhuTChQusbdE+Pj5kDKlduzbHQyo8PJy1Bba0+S+MaRKJBEuXLuVMyps1a6ZUPvDVkyFkCYVfnsrljIODA9avX68yQ2T79u1Zxk8h5KlQurkx6kqfsacsYGJigq5du7KOyWQypQvxfIsUPXr00Pj3LCwsON8vKCjAhQsXBHsmkUjEWbjIzs7mbG2VyWQcXVvbMd3BwYFTfxRKeec/ZWBTVBpsbW15t4WYmpoaPYChi4sLx1MqOTmZlQFTH4KDgzmrDP7+/npnLnr06BHLbdjLywv79+/n/O3bt48T8J85YW3Xrh0nBkVBQQGmTZvGO7HVVsH/8ssvOcaVV69eaRQbSZ+yOTg4cLwjcnJy8PPPP7OMp7m5uVi+fDnnXl999RVxtxaqrr/++mvOalFcXBymT5/OGzciOTlZq7o2FsnJyZg6dSquX7/OmXgcP36cFaMCAOrUqaNxxrWygjE8W5Uhk8mQkJCAoKAgBAQEcLaSNG/eHI0bNy7tKtIKxf7at29f3j60dOlStdeqo1evXoK0N03HM2Vbxfiub9OmDWfF/cGDB/j7779Zx968eYPff/+dc33//v1Zn/39/TnfOX/+PCt+U0ZGBvbt28f6jqmpKW8AYSExZjs21DhrSBS3hyouKPXr14/1WSqVchIilDafy5imiFgsRnh4OMaMGUM8ophMnDhRq/sZQpZQ+OXprVu3cPr0aQAlhtDt27crzVQ8YsQI1mch5KlQ+qIx6kqfsaeswNTV5ezbt48TcuLcuXO4fPky65itra3WBiZj7HDga4cbN25khdc5evQoJ/mKYuIoTRBiQZJCKUuUiyQHly9fZgXgZdK2bVsMGTKEdUxZsFC+VTlvb28SXFGOu7u7ximP4+PjeVOFA0DlypV5swEqo2/fvhxX6ZMnT6J169Za19njx4/x559/Ii0tDffv3+e4WQPA2LFj1d5n0qRJvAGNhw8fjh49enBWuvjSfgMlKy5169Zlre4/f/4ceXl5JNvm4sWLMX78eNZ1KSkpGD9+POrXr486deqguLgYb9++xZMnT3D27FmNM2hZWFhg2LBh2Lp1K+v43r171davvmX74YcfcO3aNdagFBoairdv36Jz584oLCzEuXPnOBMBZ2dnViIGoeq6WrVqGD9+PLZv3866LioqCv379yer4tnZ2YiJiYGZmRknCYch0bRPXbx4EZGRkYiMjISFhQU8PT1hbW2N+Ph43gxO5c3bCgD69OmDrVu3shTl06dPY/LkySq3E+grl/r06QOxWKw0TqG1tTUWLVpU2tWjNZr2ofr168PExIRV79pOOqysrPDFF19wJg7aUrNmTVy9epV1zNzcnBMQWRuvEwsLC3z//fccQ+KaNWtw8+ZN+Pn5ITk5GadPn+aET2jfvj2aNWvGOlanTh3UrVsXL168IMeKioowfvx4NG7cGBUqVEBUVBTH+NShQwe1xqe4uDiMHj2a99zy5ctVLoYZuh0LNc7OnTtXaX9esWKF0om5MjTVmWJjY1le0yKRiBP7sWfPnli3bh1rEePEiRMYP368wbcLalovZXFM27lzp9LttKNGjVJp1P37779x9OhR5OXlKf3OkCFDeENQqMIQsuRzRtN3qEyeLl++HPfu3UPTpk2Rn58PNzc3VuIiALC0tOS0cSHkqVD6ojLUzQ2UIfTYU1aoU6cO+vbty1oAFYvFmDBhAvr06QMPDw88e/YMYWFhnGvHjx/Pm4lUFQ0bNuQkoYmOjkZcXJxg/bRv376cbemhoaGIiYmBt7c3kpOTecc8xTFEE/z9/eHl5SVYgjsKpbQpFwa2hIQE3vTkAL8rtZWVFdzc3DgGCz6lwcfHB6Ghoaxj2ginnJwc3Lhxg/ectlmBOnXqhAoVKrC2NVy5cgVZWVlaC9/w8HCOBw+Tb7/9VqOMM4rbXeTIDRiKk05lg7j8HPN+UqkUjx8/Jpl6/P39MWPGDKxfv563HIpluX79ularWUOGDMGePXtYSuudO3fIYKEKfcpWrVo1/PDDD5xrX758qXSbqZmZGRYvXszaViBkXY8aNQovXrzApUuXWNdJJBLeeBjv3783WhY8TfsUM25QYWGhyuQRderUwYABA4xSfiFxdXVFixYtWJ6sqampiIyMRNu2bZVep69cUhXLw9bWFhs3btR4a1JZoaCggBNcWlkfsrGxQa1atVhbH2JiYiAWi7XanjJo0CBBDGyKeHl5cbwOatSoAWtra04WVGXj2RdffIHLly9zJtw3btxQ2nacnZ3x448/8p6bPn06pk6dyjJKFhUV8XreACXGnAkTJqh9frFYzJt4AuDP+MrE0O1YqHFWlSd1QUGB1gY2TXUmRe+1jh07ssJoACWByTt27MjSk5KTk3Hjxg2Dx2DUpl7K2pimTHcCwLullUlRURHHK5tJr169MGvWLK3LZChZ8rmizTvkk6dSqRSnTp1S6XVeUFCAiRMnYvPmzazxSF95KqS+qE3d8C1uKiL02FNWmDZtGh48eMBy2igqKuLIWSZNmzbF0KFDdfq9vn37Ytu2baxjJ0+exLRp0wR5no4dO6Jx48a8iaEUHVPkdOvWDXXr1tXp9wYNGoRff/1VkLJTKKXNZ7lFFOBXBPjSmfMZVkpLibCysuLEJygqKuIERNUHc3NzzJgxAz/88IPe9yoqKuKkcFflGsx3TlFwjxgxAosWLdJoEssX8FcVtra2nGw1gOax2PQp24gRIzBmzBiNfkckEmHJkiUsA4rQdS0SifDzzz9r7JatqAiVNomJiUon3YpUr14da9euLbepv0tzm6gizZs3x549e0hcwPLEkydPWJNWBwcHlZkjFfuQRCLRuM3JqVWrlt7bDzUdy0xNTXkVW2XjmYmJCX7++Wc0b95co3I4Ojpi8+bNqFKlCu/5li1bYvbs2RplEDM1NcX8+fN5n8MYGLodCznOGgqJRIJ///2XdYwv3qiy40IlIRKK8j6maYKtrS0CAgKwfPlyjlFMEwwlSyjay1Mm2dnZCA4OZh3TR54aQjcvzbpSN/aUFRwdHbFlyxbeGK58NGjQAGvXrtWpLwMlHtqK7ePMmTOcMAi6YmJigl9//VXjrK316tXDwoULdf69Pn36qIxVSKGUJ/4zBjYnJyfOvn+gbBnYAOH31ZuZmcHR0RGNGzfGpEmTcOrUKYwYMUKrNMrKePr0KSsAaYUKFVTWHd8KGt+2q/79++Po0aMYMGAAJ8imHGtra53i5I0YMYIzmF28eJE3Tgsf+pTt+++/x8aNG1WWu2HDhti7dy8ne5sh6trMzAzz5s1DSEgI2rdvr3RbtLOzMxwdHbWua0Pi4uKC1atXo127dkoNnnZ2dvj222+xd+9euLu7l3aRdaZz586crExXr15VmdpeCExNTeHk5IR69eph2LBh+P3337F9+3bOdqLygjYr+srO6xKbRt/YInz9XJnHrWLsJBcXF5XbfCwtLbF161YEBARwPJfkiEQi9OrVC4cOHUKdOnVUlvWbb77B9u3bVcZV8/LywpYtW4y2ZdsY7diQ46yhuHbtGmuLWaVKlZSGS2jVqhUncHVERITG46axKM9jGh/W1taoWrUq2rVrh3nz5uH48eMYOXIk79Y8TTCkLKFoJk/NzMzQq1cv/PHHH0QX9Pb2xsqVKznf1VWeGko3N3ZdaTP2lBU8PDxw8OBB9O/fX2lmTFtbW0ycOBG7du3SK06rm5sbZ8tsamqqRrGlNcXJyQl79uzByJEjlera5ubmGDp0KIKDg7X2tmZSoUIFtd69FEp5wUTG9D+mUMoYxcXFePnyJZKSkpCRkQFzc3O4u7vDx8en1D2S9ClbdHQ0oqOjkZycDJFIBFdXVzRv3lzrbcVCkp+fj+fPnyM1NRU5OTmwsbGBp6cnvLy8yvREUSKR4P3790hMTEReXh4sLS3h6uoKLy8vnSciFMp/DflWujdv3iAtLQ22trZwc3NDu3btlC4mqOLt27d49OgRUlNTIZVK4ejoiIYNG5abiRKl/FNexzRK+UcuT2NjY/Hp0yeYm5ujRo0aaNmyJVns//TpE3777TfMmzdPrcH3c5anQo89ZYXs7GyEh4cjISEBWVlZcHJyQo0aNdC6detSn7/oQn5+PqKiohAXF4fs7GzY2NjAw8MDzZo1K3cJxCgUQ0MNbBQKhUKhUCgUCoVCoVAoFIoeUPcOCoVCoVAoFAqFQqFQKBQKRQ+ogY1CoVAoFAqFQqFQKBQKhULRA2pgo1AoFAqFQqFQKBQKhUKhUPSAGtgoFAqFQqFQKBQKhUKhUCgUPaAGNgqFQqFQKBQKhUKhUCgUCkUPqIGNQqFQKBQKhUKhUCgUCoVC0QNqYKNQKBQKhUKhUCgUCoVCoVD0gBrYKBQKhUKhUCgUCoVCoVAoFD2gBjYKhUKhUCgUCoVCoVAoFApFD6iBjUKhUCgUCoVCoVAoFAqFQtEDamCjUCgUCoVCoVAoFAqFQqFQ9IAa2CgUCoVCoVAoFAqFQqFQKBQ9oAY2CoVCoVAoFAqFQqFQKBQKRQ+ogY1CoVAoFAqFQqFQKBQKhULRA2pgo1AoFAqFQqFQKBQKhUKhUPSAGtgoFAqFQqFQKBQKhUKhUCgUPaAGNgqFQqFQKBQKhUKhUCgUCkUPqIGNQqFQKBQKhUKhUCgUCoVC0QNqYKNQKBQKhUKhUCgUCoVCoVD0gBrYKBQKhUKhUCgUCoVCoVAoFD2gBjYKhUKhUCgUCoVCoVAoFApFD6iBjUKhUCgUCoVCoVAoFAqFQtEDamCjUCgUCoVCoVAoFAqFQqFQ9IAa2CgUCoVCoVAoFAqFQqFQKBQ9oAY2CoVCoVAoFAqFQqFQKBQKRQ+ogY1CoVAoFAqFQqFQKBQKhULRA2pgo1AoFAqFQqFQKBQKhUKhUPSAGtgoFAqFIihFRUXIyMhAYWFhaReFQqF8RlDZQqFQ9KW4uBgZGRnIz88v7aJQKJTPEKMb2DIzM/H+/Xt8/PixtJ+9zJCdnV0qvysWi8uUknrixAm0aNECLVq0wO7du0u7OKVGTk4OqYeRI0cKfv++ffuiRYsWaN26dWk/qtH59OkTqdvRo0eXdnE+Oy5duoRRo0ahTZs26NatGzp06FDaRfrsEIvFeP/+Pd6/fw+JRKLRNfHx8aTdT506tbQfgUNOTg6kUmlpF0NjSmvM/i9DZYv2XLx4kfT7TZs2lXZxygXlTRbR59aOmJgYzJgxAx06dEC3bt3Qvn17PHz4sLSLRSjPY4sx5pSrV68mMu3GjRul/chlDlo/ZQejG9gWLlyIAQMG4KuvvsKnT59K+/lLFalUikmTJqFz586YN2+eUX87PDwcXbt2Rffu3REdHV3aVQEAkMlkkEql5O+/CrMeiouLBb9/cXGxwe5d1mHWrabGCYpmBAcHY+7cuXjy5AlkMhkA/Kf7saE4ePAgBgwYgAEDBuDq1asaXWNomaIPQUFB6NSpE4YMGWLQyUVkZCRat27N+9euXTv07t0b06dPx4kTJ1BUVMR7j9Ics//LUNmiG0x9qqzV18KFC0n/O378uEbXDBkyBK1bt0bXrl0NUiZjyaKyxn/luW/fvo3Ro0fj+vXrKCgoIMflMkUTRo4cidatW6NXr14a65ASiQS9e/dG69atsWjRIt7vlPexxVhzSqY80+a9/Veg9VN2EBnzx1JTU3H79m0AJY3g/PnzGD58uFEf+OnTp9i3bx8AoHXr1ujXr5/gvyEWi7Fs2TIAQOXKlREQEMD7vZSUFNy9excAEBoaColEApFIv1dy+vRphIeHAwBGjBgBX19f3u+FhYWhoKAABQUFuHbtmtLvUSgUijrevHmD33//HQBgaWmJCRMmoFWrVqVdrM+Sf//9l/x/5swZg002jcW5c+cAAG/fvsXTp0/RsmVLg/yOVCpVajgrKiqCWCxGSkoKwsPD8ddff2HdunVwd3dnfc8QYzZFNVS2cDGGHmtoioqKSH/U1FAhv4ZpHBESY8misoaq59Z0PlPWKSoqwvLly0lb69+/P7788ktUqFABbm5uGt/n/fv3KCoqQmpqKm7evIn27durvebmzZtISUkBUOJNzkd5H1vonNKwaDq3L23KSzmNgVE92M6ePctaRTtz5ozRHzg5ORkXL17ExYsX8ezZM4P8RlFREfmNiIgIpd9zcXFB8+bNAQDdu3cXRJjGxMSQ305MTFT6va5du8LS0hIVKlSgWy0oFIpenDt3jqyWTZo0CaNHj4a3tze8vb1Lu2ifFU+fPkVsbCz5HB4ejoyMjNIull706dMHAFCjRg00aNDAKL9ZrVo1/PTTT+RvxowZ6N+/P6ysrAAAr169wg8//ACxWMy6zhBjNkU1VLZwMYYe+1+kNGRRWUDVc2s6nynr3L9/n8yJ2rVrh0WLFqFRo0bw8vKCra2tRvfIyclBbm4u+Sw3TKqDOddVNi8r72MLnVMaFk3n9qVNeSmnMTBqD2auvAMlL+LNmzeoVatWaddDqWBqaort27cjOzsbFStWNOpvt2nTBpcuXYKpqSksLCxKuyooFEo55s2bN+T/Fi1alHZxPlsUF6UkEgkuXryIIUOGlHbRdGbixIkYPnw4bGxsYGpqnDU/JycnfPnll5zj48ePx7Rp0/DmzRu8ffsWhw8fZsXBLM0x+78KlS0UY1Easqgs8F94biHkiKLB4OrVq8jPz4e1tbXSa3Jzc3Ht2jXyOTU1FUVFRTA3N2d9r7yPLXROSaGwMZokffnyJV69egUAaNiwITleGl5sZY3SEqZWVlZUEFIoFL3Jyckh/5dH5bA8IJFIyIo5cwxVXLgqj9ja2paJiZ2bmxtmzZpFPl+4cIH3e7SNGw8qWyjGpKzIIvrcwiKEHFE0sInFYly5ckXlNZcvX+ZsaU5KSlL6/fIs4+ickkL5f4zmwXb69GkAJR1wxYoVGDRoEIqLi3H27Fl8//33MDEx0fneaWlpiI6ORlpaGkQiERwcHFC7dm1UqVKFfKeoqAiZmZmsAJ5isRipqanks4ODA8ct9/nz53j8+DGSk5NRWFgIW1tb1KxZEy1atICdnR2nLKmpqSwX4uLiYtZv2Nrakm0oQElWQ5lMBjMzMzg6Our8fHl5ecjLy2NtacnJySG/bWpqCicnJ3IuPz+flFOxTMrK8OTJE5KYwsnJCfXq1UPlypV5v69tvemKVCpFWloaAJC6AYB79+7h8ePHyMnJQdWqVdG5c2dyDigJahoeHo6XL1+S73Tq1IlVR8qQSCSIiorCkydPkJmZCXt7ezRo0AD+/v4au3VLJBLcvXsXT58+RV5eHlxcXNC2bVt4eHho9fy5ubmIjIzE69evUVhYCBcXF7Rs2RI1a9YUrI6BkrYkb1t2dnasQfTDhw+QSqWk7NnZ2UShcHR0hJmZmcr3Zm5uDnt7e9b5jIwMEiujUqVKMDExQW5uLi5fvoz4+HhIpVLUrFkTHTp00Ni9XxWJiYm4du0akpOTYWNjA29vbzRr1oyjLIjFYqKoWVtbo0KFCirvm5aWBqlUyvuMihQUFBD5xLz3kydP8ODBA6SlpcHJyQmNGzdWuX1Fm3elyKtXr3D37l2kpKTA2toatWrVQqtWrWBjY8P7/czMTE5MnPT0dPKbJiYmqFSpktLfunPnDlJSUmBjY4M6deqgZcuWGskidfJQkXfv3uH58+fIzc2FpaUlXFxcUKdOHbXvRNe+rs87UEZERATZDvr9998jMDAQr169QnR0NN69e4fq1atrdT91z/z48WNkZ2fDwcEBfn5+aNSoEWeclslkrGRFyvo7UNIuiouLOWNRVlYWyTym7HqxWIzHjx8jMTERMpkMtra2qFGjBjw9PQWfFDZt2hRmZmYoLi4mi4JMNBmzgZI2EB4eTrb0yseYihUrorCwEFlZWQC4ckQikZD3bGVlpVS+MduYvb09xyOCibZ9zZgyRBnayBZlegBQouu8evWKZZRmomsf5xuj3r59i4iICKSmpsLJyQnt2rVDjRo1WNc9e/YMDx48IN9p27YtPD09NaoTXfVYRaKjoxEVFYW0tDTY29ujadOmGsfK0VVuGxq+NltcXIyIiAi8ePECeXl5cHNzQ9u2bTmxFeUok0Vy2QX8/7tWBnMcV9Yvta1DvrYGlLTduLg4uLi4cMYybcZJZc+t6XzGkHqRIikpKYiIiMCHDx9gYmICd3d3tG7dGi4uLrzfl8+NmM/BnBsBmvUZgH9757lz59C7d2+l1/A5kSQmJvLKT3VjS3FxMe7fv4/nz58jIyMDUqkU9vb2qFevHpo1a6b0GYwhq7SdUzLRd3zXtp8rou2YJX9PimMNk5iYGCQmJqJt27a8MoApJ1TpTdrO7YWqn9zcXNy+fRuxsbHIzs6GSCRCpUqV0LBhQ975hxDl/NwwioGtuLgY58+fBwB07NgRHh4eaNGiBW7evImkpCTcu3cPzZo10/q+2dnZWLNmDc6dO8ebIcnd3R3r1q2Dl5cXHj58iEmTJrHOnzp1CqdOnSKfDxw4gHr16gEoUUBWrFiB169f8/62paUlxowZg/Hjx7OO9+rVi/X57du3rGMzZ85kJXbo3bs3pFIpnJycOKvl2jzfvn37sHPnTtb5lStXkv9tbW1ZKy0HDhxAUFAQAGDevHkYPHgw73NGRUUhKCiIBN9UxNfXF4GBgXB2dtar3nQlLS2N1K+3tze2bt2K+fPnk2QactauXYvAwEC0atUK8fHxmD17NmfytH79eqxcuRIdO3ZU+ntnzpzBtm3beAdaNzc3TJkyhcSzUMbNmzexevVqJCQksI6vWbMG/fr1w3fffaf2uWUyGQ4cOIDg4GDWypyczp07Y9GiRVorL8rYtGkTjh49Suqpffv2CA0NRVBQEOLi4jBhwgRS7sWLF5P00IcPH+Y19qWkpOCLL74AUNKGQkJCWOfHjRuHt2/fAgCuXbuGsLAwrFmzhqUkASXtetWqVWjbtq1Oz5Wfn4/169fj+PHjnD7m6uqK2bNno0uXLuRYQkICvvnmGwCAv78/goODld47Li6O9KtRo0bhhx9+UFmWK1euYOHChQBKMlUNGTIEy5Ytw/379znf9fX1xaJFi+Dl5aXXu5ITHR2NwMBA3uxP1tbWGD58OMaPH89RFObMmcMp36hRo8j/pqamnL749u1b/PLLL7wyxcnJCbNnz0aPHj0457SRh3LevHmDlStX4tGjR7x17uvri+DgYF7FVJ++rss7UIdcUXdxcUGTJk3Qq1cvbNmyhZxTHN90ITw8HGvWrOENxFynTh0sW7YMdevWJcdMTEywYsUKEtR24sSJmDhxIufamzdvkvb/v//9D9OnTyfn5s6dizt37gDgyguZTIbdu3fjjz/+QF5eHue+FStWxJw5c9TKXG0QiUSwtrZGTk4OCgsLOdt5VI3Zcg4cOIDff/+dU+bVq1dj8uTJ8PDwwOzZswEAQ4cOJf8DwIsXL/Dtt98CKInF88svv/D+xvr163HixAkAJe2tTZs2nO/o2teMKUOUoY1sUdQD9u/fj0+fPiEoKAinTp0iC1qK6NPHmWPUlStXsHPnTvz555+szG3r16/HpEmTMH78eIjFYixduhShoaGs+2zYsAFjx47FlClT1NaJtnqsIp8+fcJPP/2EyMhIzrlOnTph5cqVSifGurYlY6HYZp2cnLBw4UKOLDMzM8OECRN4dVBlsuiXX35BWFgYgJL31a5dO6Xl2LhxI/755x+Ym5vj7NmzrAm4rnWoqA9ZWFhg37592L9/PzIzMxEUFETmULqMk8qeW9P5jCH1IjkpKSnYuHEjzp8/z8mOaGJigp49e2L69OkcQxvf3Gjt2rVYu3Yt+RwcHAx/f3+1ZWDKCW9vb8TExCAyMhIZGRm8hpbU1FRSr7Vq1SLbVJXFplI1thw/fhzbt29nLWgxcXZ2xoIFC3jjnxlDVmk6p2QixPj+5MkTrfu5HF3HrClTpuD169ewsrJCWFgYr9feggUL8O7dOwQGBqJTp06c8zt37kRISAgqVKiAS5cuKS2jtnN7Iepn9erVOH36NCcGrRwfHx+sWLGCpavpW87PEaP4A9+6dYtYMeWWfqbFX5ctLlKpFAEBAThz5gykUilEIhHc3NxYBoWkpCStssMwsba2JkYiDw8P+Pv7o27dumSvfUFBAYKCgjiGAaEw9PNpwq5duzBhwgSWMmBpaclSwD58+MCySpdmvRUVFWHatGm4ffs2ateuDR8fH1JWsViMBQsW4P379xg3bhxevXqFmjVron79+uQ7+fn5WLhwIZKTk3nvv3r1aixZsoQMjpUrV4a/vz/x4ktMTMSSJUuwevVqpWU8d+4cpk+fToxrFhYW8PX1hY+PDypUqICTJ09ixowZap/1p59+woYNG5CTkwN7e3v07t0bffr0IStQly9fxoQJE5Cfny94PQMlSuS8efMQFxdnkPsz2b9/P5YuXQqJRAJvb294eXkRg0hOTg7mzp2rUzBNsViMyZMn4+jRo7C2tkaDBg3g4+ND7p2cnIwff/wRJ0+eJNfUrl2bKGJRUVGsgPOKHDp0CECJ8jdo0CCtyhYbG4tRo0bh/v37cHZ2RqNGjVgrh9HR0Rg/fjxevHih9l7q3tWZM2cwfvx4omRUrFiR9Xv5+fnYtWsXJk6cyGvM1YanT59i9OjRRKY0atQIAwcORKtWrWBhYYG0tDQsWLCAVeeAbvIwJSUFEyZMIMY1KysruLu7s+KlyFchFRGir2vzDtSRk5ND4rj07NkTpqamrInO2bNn9XovAHDs2DEEBAQgPj4eIpEIHTp0QP/+/eHn5wegJMzD+PHjOQsTixcvJttadu/ejZiYGE7ZV6xYAQDw8vLC5MmTNS7T1q1bsX37dqJ8Ozs7w8XFhXhwZGdnC7aIIIe5Em9tba2xQUjO6tWrsX79elJmBwcH+Pv7o06dOiguLsaGDRuwY8cOQcvMh659jY+yJEM0QS4/jx07pjRDpZB9fN26dThw4AAqV66Mhg0bsibbQUFBiIqKQkBAAEJDQ+Hs7Mz5zu7duw0++UhLS8O4ceMQGRkJNzc3+Pn5kYVRoGTivXnzZt5rhWxLxuDhw4eYOHEiEhISUKtWLTRo0IB4ghYXFyMoKIgYzDRhwIAB5H9Vz1hYWEhkcZcuXVjvWKg6zMvLw9SpU7F161ZkZmayzpXWvMHQetGLFy/wv//9jyQ8EYlEqF+/PurXrw+RSASZTIZz587hf//7n0Y6ka58/PgRAFChQgUS97S4uJhjiJIjL6+VlRUrTqou+mphYSE+ffoEkUgELy8vNG7cGDVr1iT6S2pqKubMmYOoqCiV9ylLskrf8V2ffq7PmCXPHCsWi/HgwQPOvZ8+fYp3794BUJ4IQ74o2bp1a4MltNC1ftLT0yEWi2FtbQ0fHx/4+/uzvN2ePXuGSZMmceQPhY1RPNjkBjQHBweSXr1z587EtfjSpUuYO3euVi6lkZGRePjwIYCSVZZ58+aRhiMWi/HixQs8ffqUHGvYsCFOnjyJyMhI/PzzzwCAL774grUKy1z5qF27NubPn4+OHTuylBCxWIz9+/cTS/2uXbswdOhQUvaTJ08iNzcXw4YNAwBUr16deBkA0Hh7pLbPN3z4cHz55ZfYuXMnWc2cN28eWdXWdhvNwYMHsX37dgAllu5hw4Zh4MCBZBtSRkYGbty4gezsbNa9da03IXj9+jU8PDywf/9+kmEsPT0dM2fOxOPHj5GVlYVRo0bBwsICO3fuROPGjcmzzJgxA48fP4ZYLMapU6cwbtw41r1DQkJw+PBhACWDwJIlS1geAxEREVi+fDlSU1Nx+PBhuLu7Ey8EObGxsVixYgVZVRw+fDi+++474k5fWFiIU6dOYdOmTSqfc//+/cSbpWnTpggMDCQTXKlUij179mD79u148+YNgoKCNDLYacPRo0dx/fp1ACBGqaZNmwr6G0x27NiB/v37Y+rUqWSgT0xMxJw5c/Ds2TOIxWIcO3ZMq4k7ULKSam1tjblz56Jfv36wtLQEULJdYvPmzTh27BiAkolYkyZNiEv/4MGDiRJz/Phx3vrNz88nck8bV3U54eHhqFq1KpYvX47WrVsThePt27dYvnw5Hj58iJycHCxYsAB///23Uvdyde/qwYMHJHW9SCTC9OnTMWTIEDLgx8bGYtmyZYiOjsbjx4+xcOFCbNy4kVz/888/o7CwEAsWLCCKSnBwMFxdXQGAtZUmJycHs2fPJjLjl19+QdeuXcn5t2/fYtasWYiLi8Nvv/2GNm3aEBmirTwESmSYXAGYNWsW67mysrIQFRXFO/kWoq9r8w404cKFC2QLj3xxys3NDY0bN8aDBw+QkJCAqKgojVbh+YiOjsbq1ashk8ng7OyMbdu2sZIPhYeHY+7cucjLy8PSpUuxf/9+cs7Z2Rlz587FokWLIJFI8NNPP2H//v3EMBUYGIjk5GSIRCIsX75c4xgtOTk55Hdq1aqFjRs3ku1NEokE79+/x9WrVwWXPVevXiUr+9pmEjx9+jRpO5aWlpg7dy6++OIL0j8zMjKwZ88eHDhwQNAy89Wdrn1NEUPLEGVoI1uYiMVizJw5E4mJibC1tUWbNm04BgWh+/iFCxewcuVKYvSWSCQIDAwkvzFz5kzk5eVhwYIF6N+/P0xNTTnf+eeff3g9HZhoq8cyOXPmDJydnVnejjKZDEeOHCFGxGPHjuH7779nbY0Ssi0Zi5CQEPj5+WHx4sWsCfNvv/1G9OM///yT5Z2uilatWqFKlSr4+PEjrl27hvT0dN4tfGFhYWTbF9MoJ2Qdrlq1Cnfv3oVIJEKLFi1Qo0YNVK1aFYBu46QqtJnPGEovSk9Px4wZM4iTRr9+/TB9+nRieMnMzMTGjRtx8uRJpKamYsaMGThw4ADRFeVzoz///BMHDx4EAEyfPp1V/5q2V6YxvmvXrvj1119RWFiIc+fO8XpsyfX0Ll26sLZf6mJg69SpE+zs7NCxY0fWImFycjLWrl2LS5cuEaOJfJ7Fh7FklTqEGN917ef6jlnt2rUjTiKRkZFo2bIl6/7MBc/r168jLy+PJVNTUlLw8uVLci9V6DO317V+hg0bhiFDhqBx48asucWzZ8+wdOlSvH79GqmpqTh06BDxgBPaBvE5YPAnzs3NxdWrVwGwUw9bW1uTDpqXl0e+oynMVfIRI0awBgwrKyv4+flh6NCh5JilpSXc3d1Z3lY2NjZwd3cnf4or1YMGDeIIXisrK4wfP550qPz8fJZ7qbu7O0uZE4lErN/QdGDT9vkqVqwId3d3VuwDBwcH8rvarFglJyeTlUxTU1OsW7cOAQEBrBg/Dg4O6Nu3Lxl49a03IbC1tcX27duJcQ0o2dvO3LIkFouxZcsWYlyTPwvToKZYrqSkJOJxYGVlhaCgIM52nDZt2mD79u3EYPj777+zYjwAwPbt20k8meHDh2PmzJms92VhYYFBgwaxFBhFsrOzift9xYoVsWrVKlZQVFNTU4wbN46k+z527JhSN19duX79OurXr4+//voLf/zxB+bNm6fTFm9NGTZsGBYtWsRaRXNzc8P3339PPivbAqgKKysr7NixA0OGDCHGNaBEaVy4cCHZqlFYWMiaEHft2pWU5d9//0VRURHn3mfPniWrXpq4yitSs2ZN7Nu3D23atGFNJGvUqIHNmzcTY19cXBwuX76s9D6q3pVUKsWvv/5KjEyLFy/GsGHDWKtpnp6eCAoKIsaW8PBw1uqls7Mz3N3dWUYTV1dXIneY8V4OHDhAvEO//fZbloIrf7ZFixYBKOmn8u1vgPbykHmNjY0N57ns7OzQoUMHjmIhVF/X9B1oilxR9/T0ZG3/Ym6d0Cdh0KZNm0iMoSVLlnAye7dt2xajR48m9aq4St6rVy907twZQMlCh1zBv3HjBom/OnnyZNb2UnW8fv2atM1+/fqx2pJIJIKnpydGjx4t6CLNixcvWFuHmJNkdRQVFWHr1q3k86pVq9CvXz+Wgurg4IAZM2Zg6tSpgpWZD336miKGliHK0Ea2MImLi0NiYiKmTp2KCxcu4Oeff8a0adPIeUP0ceaEFShpn9OmTWMZ9OfNm4eBAweSiYZIJMLUqVPJZ030IV30WDl2dnbYtWsX61lNTEwwePBg4qVaWFjI8QASsi0ZC19fXwQFBbG8vq2trTFnzhxSP9HR0UTmqcPExARfffUVgJLJvzJZe/z4cQBAtWrVWIYBoftj7969cfbsWWzatAmzZs0ifUGXcVIV2sxnDKUX/f777yQpQL9+/bBkyRKWV5O9vT2WLFlCskInJSVh165d5Lx8bsTUk5lzI0UZowq5YczNzQ22trbEkykqKop4t8l58+YN6Ut9+vQhCwPM+2iDq6srevXqxclY6urqimXLlpF3ERUVxVv3cowlq9QhxPiuSz8XYszy8/MjbV1xu71UKsXFixfJ54KCAo59IyIiAkCJXFEX3kafub2uctDf3x/NmjXjLNz7+PhgwYIF5DMz/IuQNojPBYMb2C5dukQm+IqBIJmdXNttokwlQlm8L0PCDJirSvHSldJ8vn/++YcYgoYOHapzfCs+DFlvHh4evEo3U7jUqFGDN24V8zvyANNyDh06RLxHRo4cqTSBgKenJ1FeCgoKiAeU/J5yQ0jFihVVelupSlBw+fJloqD07dtX6cqb3HCQl5eHZ8+eCVrPTZo0wa5du1CnTh1B76sMZbGqmJP19PR0re9bs2ZN+Pj4KD3PNOAx06ybm5ujX79+ANjvlYl8pc/d3Z03NpI62rVrp9Tb1cbGhmUQVrU4oepd3b59m2z38/f3JzHxFLGysmKtRstXgbVFvqplYmKC//3vf7zf8ff3J54B8tgl8jqXo6k8lF+Tn5/PiXeoDCH6ujbvQBPk3mkAOLFIunbtShTDixcvkrJre395rKu6desqba9MYyRfDKEFCxYQpXPfvn0IDw8nMTj8/f2VvnNlGHIMTExMxO+//07+Nm/ejOnTp2PkyJFElnTs2FGrmFI3btxASkoKAKBly5YqV/iFTkKjiD59TZGyJEM0wdTUFIGBgRg9ejTvxNkQfbxFixacYzY2NqwkUIpGFaBkUVA+8c7Ly9Op/2pK3759iaeTIsyxVJ4sQo6QbclYjBkzhvfd29jYkDqQSCRabVf+6quviIGBzwCWkJBA5OKAAQNYC2NC1uHo0aOxYsUKXg+60pw3GEIvys3NJUZLGxsblbsxZsyYQYwxx44d42Tu1Jfi4mIi3+X9mjmnlccZlyM3wjo7O6NFixYsA4MuBjZVWFlZkXkNM0kOH2VFVgnRVnXp50KMWaampqT9vnz5kjWXvXPnDlJTU2FlZYXatWsD4G4TlRvYfH19VSZK0hdDyEFmMhx5f6DwY/AtonLDmbu7O1klk9OqVSs4ODggIyMDkZGR+PTpk9KMc4owPZBWrlyJ169fo1+/fhpnY9KUjIwM3Lp1CwkJCTAxMUGNGjXQpk0bllVd1WqBrhjr+fiQ7w0HdPO+Kc1640MTDwemB5NiuZj10bdvX5X36dWrF3EdDg8Px4QJEwCUTEjl244UXby14d69e+R/Z2dnPH78mPd7zK1vb9++ZbUnffnf//6ndVwifVDmWmzotlS1alUSmDYpKQmpqanEoDlw4EDs3bsXQIkyx5yIR0VFkZXLQYMGGcQ1mulW/vTpU6XfU/Wu5IkoAPXtmimro6KikJubqzZTGJOEhASiVHp4eJD4FHw4OTkhPT2d9R1d5GGTJk1w48YNyGQyjBkzBmPHjkX37t1VjjFC9HVt3oEmMBefevbsyTpnZ2eHdu3a4cqVK8jOzsb169d5lWNVMGVKjRo1lMoUZh+TB0xm4ujoiAULFuDHH38ksYBkMhmsra2xbNkyrftBrVq1YGdnh6ysLJw6dYpsVfLz81O6JVpTkpKSOAF5mQwcOBCzZs3SKrv5rVu3yP+qssoZGn37miJlRYZoSt26dVUuChqijyuDqVdo8h2JRKKxN422qOp/ysZSoduSsdDlWdXh4uKCdu3a4dq1a3jz5g2io6NZk0157DSRSMRqV0LX4dixY5WeK815AyC8XnTnzh2iy3bs2JHlhaaInZ0d2rRpg7CwMIjFYty/fx+tW7cW7NlSUlJIeBe5sUy+EJqVlYVz584RL295TDigRIaYmpqSjNA5OTl6Gdji4+NZGS99fHzQpEkTvfVhY8sqIcZ3Xfq5UGNW+/btiRH11q1bxFAnf+8dOnSAj48PNm7ciFu3bpFEGBKJhOgKcg9IQ6GvHIyOjkZ0dDSJhde0aVPUrl0b5ubmKCoqMtocvrxiUANbYmIiUd75FE6RSITu3bvj0KFDkEqlOH/+PCvDpip8fX0xaNAgHDlyBBKJBPv27cO+fftQrVo19O7dG19++aXSLQSaIJPJEBwcjD179nAs9fb29rxeUEJi6OdTxfv37wGUrFgwt4WWh3ozdH3wpdZmwhQ+8usAsDK4KMvwpQnMBAzKAhIrYoyg0p8rVatWJZmf0tPTiYHNw8MDrVq1QmRkJO7cuYP4+HjSNuSrtObm5mRbidA4OjrCxsYGeXl5HI8DTWG2T1WefEDJyru3tzciIyMhkUjw8eNHrfoyc6Xr/fv3GDNmjNpr5LFsAN3k4ZAhQ3DhwgXExMQgLS0NgYGBCAwMhJ+fH/r06YNevXpxtuwL0deFRq7EKQaaldOrVy+yfeHMmTNaG9iYMuXixYus7Q2avBsmXbp0Qa9evUhwZ6Ak/p0yzxlVWFlZ4ccff8TixYshk8kQFhaGsLAwODg4oGvXrvjyyy9ZE1xtqFChAqv9mpqawt7eHvXq1UP37t118jBjeklqsxVWaPTta9pgTBkiFGWxj5dVjNmWygMDBgwg3uwnTpwg8kcqlRIvtY4dO7K28BqzDktz3gAIrxcxDY3q5Iv8O/Kg7e/evRPUwMY0ism9vUQiEbp164ajR4/i1atXePXqFby8vHD//n3yfabXeeXKlZGTkwOxWKw086gycnJysGrVKt7xuVatWrwZY8syhhzfVSHUmCVPTiCRSHDz5k188cUXKCwsJJ6bvXv3Rp06dbBx40ZIJBJcunQJgwYNwuPHj8mczNAGNl2JjY3F4sWLOQmrgBLDoWIWXwo/BjWwMeMUmJqa8sYtYFrEz5w5o7GBDQDmz5+PunXrYu/evUS5ff/+PXbs2IE9e/Zg1qxZOntg/f777yTWlaOjI3r37o0qVarg06dPCA0NZa36GwpDPp8yioqKyJZeTePFlbV6K836MDExga2tLdLT05GVlUWOM41cutSrHKbbu5ubm0bZZ3T1lqOw5ZOiwXjw4MEk/sLx48cxdepUpKenk4xSPXr00EqB0qVseXl5Oq8iMdunqpVhOcx2y7xWE5hxAG1sbFgTEGUoes1oKw+tra2xc+dO7NixA8eOHSN98NGjR3j06BGCg4Px66+/olGjRgCE6+tC8vDhQ2Kcd3Z25h1DCwsLYWJiAplMhvDwcK0Vd6ZMcXR01MirSNW2ho4dO7K2RDCDO2tLr169SNIFeZzFjIwMHDlyBEeOHMGXX36JRYsWae3R5uXlxYrTIwTMSbE+Ml5fhOhrmmJMGSIEZbGPl2UM2Zb08ezW14NVV9q0aQNXV1ckJyfjwoULmDVrFqysrBAREUEWKhTjNhqzPwKlM29gIqRepK18YX5H6P7KNLAxt3v26dMHR48eBVDivTR16lQS5N7Ly4u12OLq6kq2QyYmJmpcDzKZDDNnziShHLy8vNCpUyfY29vj7du3OHfuXLlcSDfU+K4KocYsW1tb+Pv74+7du7h16xZkMhmuX7+OnJwc2NvbEwNcw4YN8fjxY5w/fx6DBg0iHtSVK1c2WpgdbUhNTcXEiRNJqIzWrVvD398flpaWiI6ORlhYWLkz5pYWRjOwqdqOIScmJgZv3rzhBFhWxaBBgzBgwADcvHkTly5dwqVLl5Cbm4uioiKsXr0aXl5eWmdW+/TpE9kWUL16dezdu5fVyb777jssX76clSnEUBji+VRhbm4OCwsLFBYWIjc3t9zWm5D1YWlpiYKCAo3rQ55yWjHArJz8/Hydy8OMy7Vu3bpS9ZT4L8CMZaGYLrx9+/ZwcXFBSkoKTp06hUmTJuHYsWNkSwMzLbvQFBcXkwm9ppmJFWG2T03aNvM7migmTJh116JFCwQGBupUZm3lobW1NaZPn44JEyYgLCwMoaGhiIiIgFQqJRnHTp06hQoVKgjW14WEuT00NDSUTFKUIZFIcPHiRa3aHvPdjB07ljdxjaZkZGRw3u3SpUtx8OBBnQ39zZo1w+7duxETE4OLFy/i/PnzZLJz6tQpeHh4cLI+lwbM59NHxuuLUH1NE4wpQ4SgLPbxsowh2xKzPuV1rA75OyuNtgOUGPb69euH4OBg5ObmIjQ0FH379iUx2dzd3TkZBY3ZH+UYe97AREi9SFv5wjQyCd1GmEkMmAa2Ro0akQyz586dw4QJE8g4rbhzixnnLDExkZWQTRWXL18mxrUePXpg1apVrPAF3333HSZNmlQq8cj1xdjju5BjVvv27XH37l2kp6fj+fPnZG7LTOjYs2dPPH78GPfv30dSUhKJv1ZWvdf27NlDjGvz5s3jGONfvXqFESNGaJwg5r+MwZIcPHnyBHFxcQBKrPY1atRQ+scM1K5LJjRTU1O0bdsWS5YswenTp1nBhbVNngCUxMuSDwYDBw7kKFbm5uYkeKExEPr51CHfhpSdnY0PHz6U23oTCrmLe3Z2ttrYCbGxscQjhLn9xMXFhfUdXWEan4VOXkBhU1xcTFykraysWMoRUKJs9+/fH0CJcfnq1atkJdPb29sg7u1ynj9/TvqargHTq1WrxrqfJr8JlMgjbbeZVK9enaxC6ttudZGHNjY26Nu3LzZs2IBDhw6ROsvKysL169fJ94To60JRVFREtoPY2dmpHEOZv6/tmMCMz6Pvu1m1ahU+ffoEKysrdOjQAUDJ1klmintd8fb2xg8//IATJ05gypQpOj+voRBKxuuLkH1NHcaUIUJRlvp4WceQbYm53V0+V1BFVlYWWfAqzYx0/fv3J8aNkydPIj09nYwhzHNyjNkfmRh73iBHSL1IW/nC3NImdH9lygpmRlATExOSsC8xMRFbt25FTk4O6zjfddrEYWNmqvz22285bczR0ZE1/pRHjDW+CzlmyXUcoGQBVO6dxnzv3bp1I+/rr7/+InEImXGUyxLytlahQgVeT1cvLy+DxJX+HDFYLck7hampKfbt20dcPvn+goKCyHVnz57Va39vxYoVMXPmTPJZMcsF09VUmQWW6QaqiTu3Ipr8hqGej7llUNffbtWqFflfPjBqgr71VlZhZjs6ffq0yu8yBwNmoGVmgo9r166xkhDoWhZ5zI+yBrMNMrdHlDdCQ0PJimiTJk14t20MGDCADDa//fYbUZoMuQUDAMmsBYCzYq4pzLakTom5efMmifXm5+entTdHhQoVSB9ISkpipffWB3XykI8aNWpg1KhRvNcI0deF4tq1a8RLceHChSrH0KNHj5KFqujoaK0CjTdt2pRshb569arOW2tOnTpF4o8EBARgxYoVRCE9fPgwKwmAPpiZmWHs2LFkks2MIVeaMGW8PA6QLjDljC6Z8AzV1/gwpgwxRJlLu4/riiF1TCaGbEtNmjQh/1+7dk2trhAWFkbmBobyvtIENzc3Etvr/v37CAoKgkQiId5txqxDTdFlnJSjS1sTSi9q2bIl0SevXLmi0uMoMzOTBLC3sLBAs2bNBK1D+TM4OTlxgvsz46z9+eefAEo8sxQXZXU1sDHHZENmnSwLGHp8F3LMqlatGolTvn//fhQVFaFKlSok7AhQEtpDnnxE3jYsLS3RvHlzrcotxNxeEzIzMwHo3s6MVc7ygEEMbBKJBBcuXABQ4hKtLjNozZo1iatsUlKS3nG6Pn36RP5X3D7F3PPODErMhLkSIE/ny/eMyrCxsSECOCkpSWdjiqGeTx1ff/01GVT379+PmzdvanSdvvVWVhkyZAiZ9ISEhJCg94o8f/6cCFALCwtWLA5PT08SHDMpKQl79uzhvYdMJsO2bduUlqVZs2akr0RFRWH//v2lXT0cmP1dvlqjyB9//FHaxcSHDx+UrpynpqZiw4YN5POgQYN4v+fq6kpWseT90tbWlrNyqS0PHjxQqkzevXuXGNgsLCzw5Zdf6vQbrVu3Jt5Ld+7cUTrZzMnJYW1r0XUL4YgRI8j/P//8M0uO6YMqeajtNUL0daGQK3+2trZqtxOYmpqyMoxq4wluZWWFgQMHAijZDrFixQqt5fTHjx9JG2nVqhUGDx6MChUq4KeffiLfWb58uWBxYgoLC4nxUXHrdmnRqVMnolxevHgRd+/e5f1eTk4OCaXAB3NxSpn8fPfunUojnqH6miLGliFCUJb6uK4IoedpiqHaUqNGjUjbycjIwG+//aY0tk9iYiLRi0xMTHQe84SC2RaOHDkCoMQjhbkbxxh1qA26jJOAbvMZofQiW1tb8q6zs7OVbq+VyWT47bffiJG2f//+rLAsQiA3iPF5T3p6enK2ezKNbnIUt4hqCrNdfU5zK2UYcnwXesySt3N5/ffq1YvjYSjPpiuXb82bN9coaysTY8l8+Tz+48ePvPpacXGxSicoY45NZR2DGNjkgZYBfiHDB3OvuiYuoX///TeWL1+Ou3fvkvgNUqkUMTEx+OWXX8j3FN0w69SpQwTvnTt3cPjwYSQmJiIuLo5MaJs1awYbGxsAwD///IOoqCjWPS5fvqxSQQaAhg0bAijx4Pn111/x9u1bfPz4UWNrvK7PJ/9dedlv3LiBlJQUvHz5UuP3V716dZIKXCKRYPr06fj5559x7949JCcn4927d7h79y52797N2vojRL2VRdzd3fHdd98BKHmfEydOxL///ku8C8RiMYk1IQ+E/91333FWr+T3AEqSQaxevZoEMC8sLMStW7fw3Xff4dChQyrLs2DBAqLwbNiwAXPnziVpoAsLC5GZmYno6GgEBQWxvEONBTNV/K5du1iTxKSkJCxcuBD//POP0culSFZWFkaNGoW9e/ciNTUVQInHyKVLlzB27FiyytuyZUuWK7giisa3L7/8Um/l7smTJxgxYgTOnz9P5FJGRgYOHDiAgIAAMlCPGzdOZ29RMzMzLFiwgBgFli9fjqCgICK7pVIp7ty5g7Fjx+Lt27cASrw4tM1SKadTp07k2vj4eIwYMQJ//fUX4uLiIBaLIRaLkZCQgPPnz+PHH39kbU/XRR6uWLECW7duZW2nLSwsxPXr14kcEolELA9Aofq6vmRkZJBYHV27duWsmPPBHEO1jXM5ceJEsqXm8uXLGD16NM6fP4+kpCQSr+rNmzf4+++/MW/ePNa1UqkUS5YsQW5uLmxtbbFkyRJyrlmzZvjmm28AlPT9tWvXalymJ0+eYNq0aQgNDWVlyv348SOWL19O+kVZ2Wrh7OxMZIFMJkNAQAAOHDhA+lNOTg7+/fdfDBs2DNHR0UrvU6lSJbIqnpiYiC1btpBEJlKpFKGhoRg7dqzKTIP69DVtMLYMEYKy0sf1QRM9VigM1ZZMTEwwa9Ys1nbLcePG4dy5c3j37h1SU1Px8uVL7Nu3DyNHjiQyYMiQIXolThGC9u3bc4xpqgywxuqPus4b1KHLfEYovWjKlCmk7506dQpz584lsgQo2V48e/ZsnD9/HkCJAWzixIk61Z8q5AYxZXKAaTy0tLREly5dON/R1YOtY8eO5P8NGzYgKSmJfJZKpdi2bZvSBZ2ySmmN70KPWYrlU4y7B5TocMxtlbrEXxNibq8J8rZWXFyMn3/+meVZnJOTg+nTp6s05hqrnOUBgyQ5kBvIrKysWPv+VdGzZ09s3LgRUqkUly5dwty5c1UK4/Pnz+PRo0c4efIkgJJtFcXFxawVsDZt2qB79+6s66ysrDB8+HDs3r0bUqkUq1evJucOHDiAevXqwdbWFlOmTEFgYCDEYjHGjx+P+vXrw9XVFfHx8Xj16hU8PDyIcYSPMWPGEE+8Y8eO4dixYwCAmTNnapQpVdfna9q0Kfz9/REVFYXU1FQEBAQAKFkJunLlisbvcOLEicjNzcWff/4JqVSKo0eP8m4XrVChAr7//nuIRCJB6q2sMnr0aHz69Al//fUXMjIy8NNPP2HFihVwcHBARkYGS+AMGzaMtQVNTufOnTF8+HCyKn748GEcPnyYJJUASpTOgIAAlveUIvXr18eaNWuwcOFC5OTkkCC2fLi5uWHSpElGrasuXbqgevXqePfuHRISEjB8+HBUrlwZFhYWSEhIgFQqxdSpU7FlyxajlksRDw8PWFlZYdOmTdi0aRMsLCxQVFTEWp2pU6cOVqxYwVmRYtKqVStUrVqVrNYIsT20WbNmiImJwcKFCwGABOZm0qtXL4wZM0av32ncuDGWLVuGZcuWobCwEMHBwdi1axecnJyQl5fHCtbepEkTrFq1Sq/fW7p0KYqLi3HlyhWkpqaqNLi0b9+exOnRVh7m5eXhzJkzKCoqIt6izH4mZ9KkSZwVaSH6ur6cP3+e/A6fwsaHt7c3PD09ERsbi4SEBERFRWm8lapixYrYvHkzZs6cidjYWFbb4+PDhw/k3ezbtw8PHjwAAMydO5c1iQCAH374AREREXj//j1OnTqFrl27aqQ0X7lyBREREcTQaGZmBhMTE1b9G2oypSs//PADYmJi8PDhQ4jFYqxfvx7r169n9d+KFSti/PjxJNs2H6NHj8by5csBlHhZHTx4kGTjzsrKgre3N1q0aEF2CvCha1/TFmPLECEoC31cHzTRY4XEUG2pVatWmDdvHn777TcUFxfj8ePHePz4sdLvd+7cmbXVsbQQiUTo27cvWaipXLkya+uZMeuQia7zBnXoMp8RSi9ydHTExo0bMX36dCQlJRF9V+7ZJN/SJn8PGzZsEDx7e05ODjH4KIv/16tXL2zatAlSqRSdOnXizcatqwdb8+bN0blzZ1y+fBmxsbEYOHAgfH19YWNjg+fPnyM9PZ0kligvlOb4LuSY5e/vD1tbW+Tk5KBu3bq8SRodHR3RvHlzEiZDFwObUHN7dYwcORJnz55FQkICLly4gDt37sDHxwdSqRSPHj2CnZ0dTE1NlXobG6uc5QHBPdiys7NJwM9OnToRjyZ1ODs7kz3JeXl5al9EmzZtWANQUVEReeF2dnYYP348AgMDeSfGkyZNwpQpUzhCmBlrYOjQoZg3bx5xpX769CmuXLmClJQULFq0iATxVEarVq0QGBjICUCuabphfZ5v/fr16Nu3L8vrQds0xyYmJpg5cyaCgoJIumFFnJyc0KdPH5Yw0rfeyjKzZs1iZe6USCRITU0lA0LdunWxbt06zJo1S+k9Zs6ciaVLl7IGWvmk38vLC7///ju++uortWVp27Yt/vnnHwwdOlSpB1OtWrXQv39/o6dUtrCwwMaNG1kZTpOSkvD+/Xs4Ojpi7dq1GhsNDImtrS2Cg4Px1VdfQSQSobCwkBjXLC0tMWzYMAQHB6v1ECsqKiLKV4sWLQRZXff29sYff/yBpk2bAmDHYnJycsLcuXOxYsUKQYKN9uzZE3v37kX79u1hYmICmUyGT58+kX7t7OyMgIAAbNu2Te+4SdbW1ggMDMSvv/6KRo0a8ZbfxsYGnTt3JluqAe3lYVFREb744gtW1iemca1atWpYsWIFRo8ezVtOIfq6Psi3eLq6urJiFalDW09wJtWqVcO+ffsQEBCgtA27uLhg8ODBZHvDy5cvsX37dgAlhnW+fm1lZYVly5aRd7Ny5UrWpEgZ9evXR/369cnn4uJiUv8ikQi9e/dGSEiI2hAUxsTKygrbt2/H6NGjWQuE8v7brl07/PXXX2qzx/Xr1w9TpkwhWxnFYjFiY2ORlZWFbt26ISgoSG1WVl37mi4YU4YIRWn3cX3RRI8VCkO2pUGDBmHXrl1o1aqV0oUsDw8PLFq0CL/99huvLloaMHXZr776Su1YbIz+qM+8QRW6zGeE1Iu8vLxw4MABfP3112TsyczMJOOIlZUVvv76axw4cEBvWcYH0ximzIONOYdVpt/a2tqSOXFqairxTNaElStXYsiQIRCJRCgoKMC9e/dw/fp12NjYICgoqNwlkCvt8V2oMUskEpGYjKrmNXKjdt26dTmLkJoixNxeHba2ttixYweJxZ6eno6IiAhERkbC398fu3fvVvubxihnecBEpk9GgTJAcnIyEhISkJubC1NTU7i4uMDT01OjQVgmkyEpKQn5+flwdnbmTetcWFiIp0+fIi0tDY6OjmjQoIFG23WYpKWlITMzExUrVlQao8EQz1dUVISkpCQUFxfDzc1N6z3fTMRiMd6+fYusrCxUqFABlSpVgouLi1KlQoh6K8vEx8cjJiYGWVlZsLOzg7e3t1ZZi2QyGZ4/f06CkVevXl3jlN3KyiMfsG1tbVGtWrVSn8jIZDI8fPgQL1++RHFxMapWrYqWLVuWyXaQnp6OJ0+eIDMzE5UqVYKfn5/GiwP//vsviTUVGBiosdeuIufPnydeQyNHjiQrP+/evcPr168hFovh7u4OX19fgw1WGRkZePToEckEWaNGDXh7exssa1BOTg7i4+ORlZUFc3NzuLi4wN3dXenvaSsPpVIp4uPjkZSUBLFYDAsLC1StWlWrvqpvXy+vpKamIjExEbm5ubCxsUGVKlW0Hr+EIDs7m4w9UqkU9vb28PLyUmtgKm0KCgoQHR2N5ORkWFtbo27dumTye+XKFcyePRtAyaKU/H9F0tLScOfOHaSkpMDBwQG+vr46Zw3Wtq/pirFliBCU5z6uiR4rNIZqS1lZWYiOjkZaWhoKCwthZ2cHLy8vndu8oYmLi4NEIkHVqlW1lkeG7I/6zBvUoel8Rii9SJGCggI8evQIHz9+hImJCapUqYKGDRvqNb8pT2RmZuLZs2cQi8Vwc3PTa95QFigL47u+Y1Z6ejo+ffpEdsXwUVBQgPfv38POzk5nA5scIef2qvjw4QNevXoFU1NTeHp6omrVqmWynGWVcm9go1AolNJk9OjRiI6ORuXKlXHy5EmdjV/KDGwUCuXzQlMDG4VCoZRHhNKLKBQKpTxSdpcUKRQKpYzz/PlzErB8wIABVImkUCgUCoXyn4XqRRQK5b8ONbBRKBSKjsgzvopEIpVZxCgUCoVCoVA+d6heRKFQ/utQAxuFQqHoQE5ODs6dOwegJLtZWQq2TqFQKBQKhWJMqF5EoVAoQNlIx0OhUCjljNTUVJKFsnPnznrfr06dOpg0aRIAwM/Pr7Qfj0KhGAhPT0/S1319fUu7OBQKhSIIQutFFAqFUh6hSQ4oFAqFQqFQKBQKhUKhUCgUPaBbRCkUCoVCoVAoFAqFQqFQKBQ9oAY2CoVCoVAoFAqFQqFQKBQKRQ+ogY1CoVAoFAqFQqFQKBQKhULRA2pgo1AoFAqFQqFQKBQKhUKhUPTAqAa27OxsZGdnl/YzUygUCoVCoVAoFAqFQqFQBKaoqAgZGRkoLCws7aIYHZGhfyAtLQ1BQUEICwtDRkYGAGDKlCkYO3ZsaT/7f4K+ffsiOTkZZmZmuHnzZmkXB58+fULv3r0BAPXr10dISIgg9/36668RFxcHALh69Sqsra1L+1EFJycnB126dAEA1K1bF/v37y/tIpVZLl68iIULFwIARo4ciWnTppV2kSgCI1Sfz87ORsWKFUv7cTRi/fr1+OuvvwAAa9asQceOHQ32W2KxGKamprCwsCjtxzYaMpkM7969Q3p6OoqKimBvbw9PT0+Ym5trdZ+ioiI8e/YMKSkpsLGxgaenJ9zc3LQuj0QiwcePH2FpaQlXV9fSrh4W/4Ux93NEKJ1w5MiRePHiBQAgLCwMtra2aq+hbYZiDEpLV87JyYGNjQ1MTenmMCarV6/G0aNHAQDr1q1Du3btSrtIny3x8fEYOHAgAKBFixbYsmVLqZTj0qVL2Lt3L54+fQqZTAaRSITIyMjSrh6jYlADW0pKCkaPHo2kpCTWcalUWtrPXeaZMGECoqOjOcdNTExgZWWFypUro2nTphgwYABq166t9D7FxcVlqr5lMhkpj0QiEey+zOeUyWSl/ZgGgVl3xcXFpV2cMo1UKiV1VZbaP0U49O3zUqkUU6ZMwd27d9GtWzesXr26tB/J4M+sKeHh4fjxxx8hEomwdetW+Pr6lvajG5S4uDgcOHAAly5dQlZWFuucubk5OnfujMmTJ6NatWoq75OTk4OgoCCcOnUKubm5rHM+Pj74/vvv0apVK43KlJubi3nz5uHmzZto1KgRdu3axfu9YcOGEaOFMrp3747ly5cLWmf/hTH3c0QonVCX90/bDMUYlIauHBQUhODgYNSoUQMhISHlZtHOGDD1cdrvDUtZmCcGBwcjKCiIdey/OA8zqIFt/fr1xLjm7++PcePGwc3NDTY2NqX93GWeoqIiFBUV8Z4rLCxEVlYWXr58iUOHDuGHH37AyJEjS7vIFAqFUm5ISUnB3bt3AQChoaGQSCQQiQzu1F0uCAsLQ0FBAQoKCnDt2rXP2sBWWFiIkSNHQiwW854vKirChQsXcOPGDWzatAn+/v6834uPj8ekSZOQmJjIe/7Zs2eYOnUqRo8ejalTp6osU1JSEgICAvDy5Uu15X/37p1SXYH5DJqyefNmfPjwAQCwaNEiVKhQQbC6plAonx9isRjLli0DAFSuXBkBAQGlXSSjc+7cOQDA27dv8fTpU7Rs2bK0i2RwTp8+jfDwcADAiBEjPms9gaIZb968we+//w4AsLS0xIQJEzReVPzcMNhsQiwWIywsDADg4OCALVu2wMrKqrSft1wyf/58IrikUimSkpJw48YNnDx5EsXFxdiwYQNq166N1q1bl3ZRKRQKpVzg4uKC5s2b486dO+jevTs1rjHo2rUrzp07B5FIhA4dOpR2cQyKhYUFWrZsiaioKAwePBjNmzeHs7MzcnNz8erVK+zevRsJCQnIy8vD3Llzcfz4cc7WtpycHJZxrXnz5pgyZQq8vb2RlZWF8+fPY9u2bRCLxQgJCYG9vT3+97//8Zbn+fPnCAgIQEpKitqyf/r0CQUFBQBK3lnz5s15v6fO845JREQEMezNnTu3tF8PhUIp4xQVFeHixYsAgFq1av0nDWx9+vTBjh07UKNGDTRo0KC0i2MUYmJiyHvv2rUrNbBRcO7cOeKlOGnSJKV6zn8Bg80o3r17R7YANmrUiBrX9MDDwwP16tUjn318fNCpUyfUqVMHa9asAQD88ccf1MBGoVAoGmJqaort27eXqxhsxqJNmza4dOnSfyYG2w8//AAXFxeOt1aDBg3Qs2dPjB07Fi9evMCnT59w/vx59O/fn/W9jRs3EuNa+/btERgYCDMzMwBApUqVMHz4cDRs2BATJkyARCLB9u3b0bFjR1SvXp11n/DwcMybNw/5+fmwsrJS6lUn5+PHj+T/7t27o1u3bqVdlRQKhfKfY+LEiRg+fDiNwUb5T/PmzRvyf4sWLUq7OKWKwaRATk4O+Z9OXgzDkCFDyOTn4cOHpV0cCoVCKXfQ8YkfKyur/4RxDQBq1qypdCuklZUVKylTVFQU63xKSgpOnjxJvrtkyRJiXGPSsGFDjBgxAkDJttR9+/axzt+9exczZsxAfn4+fHx88Msvv6gtt3wrJ1CyEEehUCiU0sHW1pYa1yj/aajt5/8R3IOtqKgImZmZJGMoULJdNDU1lXyuUKECb/ag3NxcREZG4vXr1ygsLISLiwtatmyJmjVrcr6blZVF0r46OTnxCrXExETExMSgQYMGcHFx4ZyXSqVIS0sDUCIY+bzskpOTERERgYSEBJiZmcHDwwNt2rSBk5MT7/MXFBQgOzsbAGBtbc1S2jMyMpCSkoI6deoIUtempqaoUqUK3r59i6KiIhQUFMDS0lKrexQXF+P+/ft4/vw5MjIyIJVKYW9vj3r16qFZs2Yab5sSi8V49OgRkpOTUVhYCDs7O3h6eqpMwKCK9PR0FBcXw8TEBJUqVdLpHrm5ubh8+TLi4+MhlUpRs2ZNdOjQQaNsV9q+dznPnz/H48ePST3Y2tqiZs2aaNGiBezs7NT+rkQiwd27d/H06VPk5eXBxcUFbdu2FXTypOu7kvfP2NhY5Ofnw8XFBc2aNYOXl5dG7+L27duIjY1FdnY2RCIRKlWqhIYNG2rlTp+WloYnT57g06dPAEr6fr169VC5cmWNro+OjkZUVBTS0tJgb2+Ppk2bauTWLpFIEBUVhcePHyM7OxsODg7w8/NDo0aNYGJiovLad+/e4fnz58jNzYWlpSVcXFxQp04d2Nvbq/3dz1HOvXr1Cnfu3CEZFuvUqYOWLVsK4uWsbZ//9OkTZDIZzMzM4OjoyDqXk5NDPIjs7OxYxqYPHz5AKpXy9kt92goAEgLg48ePsLKyQp06ddC2bVu9t7CKxWI8fvwYiYmJkMlksLW1RY0aNeDp6clpV/n5+SRIv2KbYbYnkUgEBwcHACXt8Pr160hKSoKlpSV8fHzQunVrXmMTH+/evcOLFy+QmZkJCwsLuLq6okGDBirltTY6gz7UrVuX/J+ens46Jw/VAABffPEFpx0xGTp0KP744w8AJVspZs6cSXShjx8/QiqVomPHjli1ahVrJVgZTANb1apV9XrGzMxMFBUVsQIjp6WlkZ0IlpaWahVmXcbcxMRE3Lt3D/Hx8cRzz93dHU2bNlX6TIZqg8aSt3IZ8eTJE2RmZsLe3h4NGjSAv7+/yn6elpYGqVTKK6/kMGWzjY2NXjGPnz9/jjt37iA9PR329vbw9/eHn5+fzvfjQ95m3r9/D1NTU9SoUQNt2rTRSF8CdNfV1KHNOJWRkUH6ibJ3DrDHFAcHB/Ku+caa4uJiRERE4MWLF8jPz4ebmxtat26tcT8XQjZqom+lpqayEroUFxez5nuq6kMfXcCQunJSUhLCw8ORkJAAc3Nz1KtXD23btoWFhQVkMhkePnyIV69eoW3btqhSpQoAtuxwdHQkMkc+lwFKvJlV6QDMvmtvb8/JXq2LbsFsm/Lf12duBAB5eXnIy8tjeVjn5OSQ925qaqq2/zHbd15eHtzc3NC2bVu4u7tr9O710bHkqBpHrl27huTkZNjY2MDb2xvNmjXTeMFRn7kSk1evXuHu3btISUmBtbU1atWqhVatWhkljr22vy3XH+QhK4CSti+vM33m8uUVwQ1sDx8+xKRJk1jHQkNDERoaSj5PmjQJ48ePJ59lMhkOHDiA4OBglvVTTufOnbFo0SLWhDQoKAj//PMPAGDnzp1o3Lgx57rg4GAcP34cQ4cOxezZsznnb926hR9++AEAEBISwppo5+bmYv369Th58iQn+4W5uTlGjhyJyZMncxSwK1euYOHChQBK0pgHBAQgJiYGW7ZsQWRkJJo0aYIdO3YIVt9MYaytce348ePYvn07GTwVcXZ2xoIFC1TG4Pnw4QN27NiB2RFSEAAAgABJREFU8+fP8wZS9vDwwMKFC5XGhuHj3LlzWLRoEYASt+uJEydqXS+nT5/GmjVrOJncbG1tsWrVKrRt25b3Ol3fe3R0NFasWIHXr1/z3tfS0hJjxoxhtXtFbt68idWrVyMhIYF1fM2aNejXrx++++47reuBia7vqrCwELt27cKBAwd4tyw1bNgQs2bNUmqoWr16NU6fPq10u5OPjw9WrFihUvGLiopCUFAQCUqviK+vLwIDA+Hs7Mx7/tOnT/jpp59400R36tQJK1euVKrUhYeHY82aNYiPj+ecq1OnDpYtW8aagMt58+YNVq5ciUePHiktc3BwsMoJ1eck596+fYtffvmF9x06OTlh9uzZ6NGjB3RFlz7fu3dvSKVSODk54cKFC6xzmzZtIqnl169fj/bt2yM0NBRBQUGIi4vDhAkTOH1S17YClCit69atw4kTJziZtlxdXbFkyRKd6kUmk2H37t34448/kJeXxzlfsWJFzJkzB3369CHHDhw4QLJAzZs3D4MHDybn0tLS0KtXLwCAt7c3QkJCsGnTJhw8eJDThjw9PbF+/XqVk57Tp09jz549ePv2Leecubk5unTpglWrVnGeSVudQR+YSqPiOHvr1i3yf8eOHVXex8XFBd7e3oiJiUF+fj4eP35MtlGYmJhg2LBhmDFjhsZeEPItonZ2dnqvFs+ZMwf3799nHfv6669Zz7Z27Vql12vb/zIzMzF//nzcuXNHaWa5Hj16YMGCBZyJn9BtUI6h5S0AnDlzBtu2beNNhuHm5oYpU6aw+iKTfv36QSwW88orOZcuXSKyYtSoUaQs2vDu3TusXLmS0x4AwM/PT5CMtDKZDAcPHsS2bds4csnKygqjRo3C+PHjlU6YdR271KHLOHXy5Els2rQJANCsWTNs376dU+7U1FR8/fXXyMrKgq+vLysrsOJYY2VlheXLl7O2gMvp2bMn5s2bp7S/CyEbtdG35P2QWX/MYzNnzsTw4cP1rmMmhtKVJRIJNm/ejIMHD3IyMLq4uGDy5Mk4ceIE2TG0adMmYmCbO3cu7ty5AwA4fPgw0Wd/+eUXEo98w4YNaNeundLf37hxI/755x+Ym5vj7NmzxOAD6K5bjBs3joyt165dQ1hYmE5zIyb79u3Dzp07WcdWrlzJuteVK1eUXv/kyRMsXLiQ8yxmZmaYMGGCynmSPjqWIorjyM6dO7F+/XocP36cI1NcXV0xe/ZsdOnSRen99J0ryYmOjkZgYCCio6M556ytrTF8+HCMHz+eY4AVAl1/m09/GDVqFPnf1NQUt2/fFry8ZZky4cv6008/YcOGDcjJyYG9vT169+6NPn36oEaNGgCAy5cvY8KECcjPzyfXtG/fnvx/8+ZNzj2LioqIUAsNDeVNESvPfuLk5MTyosnKysK4ceNIJ6tWrRr69++Pzp07w9HREUVFRdizZ49GSkZYWBjGjh3LO7HXl4cPHxLre5s2bbS+vrCwEJ8+fYJIJIKXlxcaN26MmjVrkgl/amoq5syZw9kSw6y/4cOH4/Tp08RgY2ZmxvJmiY+P12olMTo6mtRr9+7ddTKu7d+/H0uXLoVEIoG3tze8vLxYK4Vz587lVW71ee/W1tbEuObh4QF/f3/UrVuXeCcUFBQgKCgIISEhvGU+d+4cpk+fThQGCwsL+Pr6wsfHBxUqVMDJkycxY8YMretC33eVk5OD7777Drt27SIDRq1ateDn50cmPY8fP8b48eNx9uxZ3t9OT0+HWCyGtbU1fHx84O/vz1qlevbsGSZNmoTMzEze63ft2oUJEyawlDFLS0uWQezDhw9K21laWhrGjRuHyMhIuLm5wc/Pj2WIu3LlCjZv3sx77bFjxxAQEID4+HgS8L1///5kFf/ly5cYP348Xr16xbouJSUFEyZMIMY1uVcG03NXJpOp9Ur6XOTc06dPMXr0aPIOGzVqhIEDB6JVq1awsLBAWloaFixYQLbaaYuufV4bNm7ciHnz5iEuLo73vK5tBSgxrk2aNAnHjx8nxgZ3d3f4+/ujWrVqSE5OxvTp04kCrw1bt27F9u3bySTW2dkZLi4uZAKYnZ2tsyFKKpVi3rx5+PPPP2Fra4uGDRuyAurHxsZizpw5vAYUsViMWbNmYenSpSzjmrW1NVHeioqKyOo7E110Bn1gepMxPTOLi4vx9OlT8rl+/fpq78X8zuPHj8n/nTp1wqxZs7QyCMg92ExNTbF161YEBQXh9OnTStuoodCl/9nZ2eHly5eQyWRwcnJCw4YN4evry/LMunDhAubPn6/yt/Vpg4oYUt4CJYtNS5YsIXVRuXJl+Pv7E4+gxMRELFmyBKtXrzbq+2Py6tUrjB07lkyWTExM4OXlhUaNGsHZ2RmPHj3C2LFjie6pK2vWrEFgYCAKCwvJ/eU6hVgsxu+//04yUyoi5NjFRNdxauTIkUTO3717lxhpmaxatQpZWVmwsrLCihUrlHpVXrhwAVOmTMHHjx9RrVo1VvsAgPPnz2P8+PG8iyWA/rJRX33LUHUsx5C68m+//YYDBw6guLgYLVu2xOzZszFp0iRUrlwZKSkpWL58OTGu2draamTgGDBgAPlflX5TWFhIdOguXbqwjGv66BZMjKEnqePhw4eYOHEiEhISUKtWLZaXenFxMYKCgoiMVUSoeuBDLBZj8uTJOHr0KKytrdGgQQP4+PiQ+klOTsaPP/6o9B0KMVcCShZgxo8fTwxcFStWRKNGjeDp6QmgZHfBrl27MHHiRF4Duj6U5m9/jgjuwdawYUOcPHkSjx8/Jh4OXbp0YWWVYbp+79+/H2fOnAEANG3aFIGBgWRlRiqVYs+ePdi+fTvevHmDoKAgIjibNm0Ka2tr5OfnIzIyElOmTGGVIzw8HFlZWQBKDEX37t3jeOZEREQAANq2bctabfrpp59IBx05ciR++OEHMhjm5ORg6dKluHLlCk6fPo0uXboo9fB6+fIl/vnnHxQWFqJKlSpo0aIFGjZsqHcdi8Vi3Lhxg6wmOzo66rRi06lTJ9jZ2aFjx46siX9ycjLWrl2LS5cuEYEn92aQ8+TJE/z4449kZb9jx44YNWoUfH19YWpqCrFYjPv37yMiIkLjbaLJycmYPXs2CgsL0aBBAyxdulSn+tmxYwf69++PqVOnslx+58yZg2fPnkEsFuPYsWOYPHky6zp93nvt2rUxf/58dOzYkWW8EYvF2L9/P6m/Xbt2YejQoSxlJTY2FitWrCDK+vDhw/Hdd98R41dhYSFOnTpFVki1Rdd3JZPJMH/+fDIJbNiwIZYsWUKEbVFREQ4fPoyNGzdCIpFg2bJlqFKlCvz9/Vm/P2zYMAwZMgSNGzdmKZXPnj3D0qVL8fr1a6SmpuLQoUOclauDBw9i+/btAEoMgsOGDcPAgQNJcPCMjAzcuHED2dnZSiemZ86cgbOzMzZt2kQM0TKZDEeOHCETmWPHjuH7779nuT9HR0dj9erVkMlkcHZ2xrZt21CrVi1yPjw8HHPnzkVeXh6WLl2K/fv3s8otNxjOmjULQ4YMIQN1VlYWoqKieA0HinwOci4nJwezZ88m7+iXX35B165dyfm3b99i1qxZiIuLw2+//YY2bdoo9URUhq59XlOOHj2K69evAwBRvJo2bSpIWwFKFHu5ocbd3R3Lli1jec/ExcVh7dq1vJN+VeTk5JDfqlWrFjZu3EhW3CUSCd6/f4+rV6+ynkUbXrx4gTdv3mD27NkYNGgQmXBERUVhxowZyM7OxsuXL3Hnzh1OwNslS5bg6tWrAEq2S02YMAE9evQgBpb4+HiEhoZyVqN11Rn0gakQM73UUlJSWFu7mJMiZcgnuvJnlKPp9hwmcg+XjIwM7Nmzh3XO29sbAQEBaNasmUb3+vnnn1FYWIhp06YRA93+/fuJvqZq25Yu/c/ExARz587lhCeQyWQICwvD8uXLkZubi5s3b+LBgwe83mSAfm1QEUPK25CQEBw+fBhAiZF7yZIlrIXRiIgILF++HKmpqTh8+DDc3d3x7bffat0m9KGgoADz5s0jIV5atmyJhQsXkgUxmUyGW7du4bfffsO7d+/0+q3Tp09j6NChGDt2LDHWSCQSHDlyBOvXr4dEIsHp06fRqlUrjpeUUGMXE33GKVNTUyxbtgzDhg2DWCzG5s2b0aZNG2LoPX36NBk/AgICVGb1PXv2LFq2bImZM2ey+sWtW7fw008/ITU1Fa9fv8b69evJHEuOvrJRF33r5MmTyM3NxbBhwwAA1atXx5YtW8g9mfM9fXUBQ+rKr169Il6EX3zxBcu4O2TIEHzzzTdITU1FtWrVsGfPHo1kPQC0atUKVapUwcePH3Ht2jWkp6fzbu8OCwsjO5KYRjl9dQsmQulJw4cPx5dffomdO3fi1KlTAEo83eXyTNUiUUhICPz8/LB48WKW4ea3334j9/rzzz85nmJC1gMfcXFxsLa2xty5c9GvXz/iqZ6VlYXNmzfj2LFjAEoWSZo0acLyiBZqrvTgwQMsX74cEokEIpEI06dPZ80dYmNjsWzZMkRHRxMby8aNG7V6TmXo+9ty/WHBggXEQBccHAxXV1cA0Grr7ueC4B5slpaWcHd3Z+21tbGxgbu7O/mTK5LZ2dkIDg4GUGIpXbVqFcvt2dTUFOPGjSMKzLFjx4gya2FhgZYtWwIomagzY74BJascTM6fP8/6HB8fTxQE5qrl3bt3yUDo5+eHadOmsYwCtra2WL58OXmGgwcPKq2LW7duwc7ODoGBgTh58iQWL17MyT6mCfPmzUOPHj3Qo0cPdOvWDe3atcO8efOQkpKCFi1aYOfOnTrFHXB1dUWvXr048fBcXV2xbNky8oxRUVGsLYVSqRSrVq0iBpsxY8Zg7dq18PPzI4LVysoKbdq04d1CwYdYLMbMmTORmpqKypUrY+3atVpveZUzbNgwLFq0iDUAurm54fvvvyefFbftCfHeBw0axDEMWFlZYfz48aSt5ufnc1xvt2/fTupy+PDhmDlzJsuzzMLCAoMGDWIpLZqiz7u6dOkSmdDXrl0b27dvJwMGULINQ17XQIlyHBgYyPEU8Pf3R7NmzTgrtj4+PliwYAH5rOg+nJycTDzLTE1NsW7dOgQEBLAy7zk4OKBv375EuePDzs4Ou3btYk1mTExMMHjwYLLyVVhYiBcvXrCu27RpE9kmsGTJEtZgDpRMoEaPHg2gJF0509MzJiYGQInsGzZsGMtTzc7ODh06dFDpas589+Vdzh04cADJyckAgG+//ZalUAMlBgd5GxKLxThx4oTaelFElz6vDdevX0f9+vXx119/4Y8//sC8efNYhgt92sqrV69w+vRpUu+///47x5hQs2ZNbNy4UWtP5devXxNDbr9+/YhxDSiJOeLp6YnRo0frFf9u9erVGDp0KGs139/fn7WtVLHuw8LCyCq1s7Mz9u7di2+++YY18fDw8MDo0aNZz6yPzqArz549I15JzZo1Yxn8mF63msaMYpZX31XgpKQkVKtWDb6+vvD29ma1/5iYGEyaNAl///23RvdydnaGu7s76z26ubkRvU2Vx4qu/a9bt26cBTgTExN07dqVtb1E3dYSXdogH4aSt0lJSWTLvJWVFYKCgjh9uU2bNti+fTvpi7///jsrlpUxOH78ODGuNmjQABs3bmR5m5uYmKBVq1bYs2eP1osgisyfPx+zZ89mtSuRSIRvvvkGc+bMIcd2797Nuk7IsYuJvuNUtWrVMHXqVHL+p59+glQqRXJyMgIDAwGUvGNmm+SjZ8+e2LJlC6dftGzZEps3bya6xKlTp5CSkkLO6ysbddW33N3d4ebmxnqHfPM9IerYkLqyvE0BJXoyE3t7e/Le3r9/r9WYYmJigq+++gpAiY4sN4Aqcvz4cQAl7Yi54KWPbqGIUHpSxYoV4e7uzqp7BwcH8s6Z7UERX19fBAUFseYS1tbWmDNnDpHf0dHRnC26QtYDH1ZWVtixYweGDBnCmnva2dlh4cKFZMtyYWEhDhw4wLpWiLmSVCrFr7/+SvS1xYsXc+YOnp6eCAoKIs8eHh6uciuupgjx23L9gRmnztXVlbQJpu75X6FUt4hevnyZKJh9+/ZVOmDLJ6J5eXl49uwZOS5XYGQyGUsBy83NZXkbACUdgGkkkq8yikQiolABIBZ0oGQA4LPE29jYoFWrVgCg0hOlUqVKCAkJQadOnfSy3mZnZyMtLQ1paWkchc/ExMQgLr1WVlYkIKNEImH97u3bt4kxwtvbm7PKqy0ymQxLly5FTEwMrKyssG7dOr2UN2XefKoCVQv53vlgevQwleaMjAxcvnwZQMmgpWrlSJfA3fq8K+YgMnv2bKWT8L59+5KYAjExMXjw4IHGv8GMRcBUFgHgn3/+IcrU0KFDNYoNoax8ygIDM9sEc8tLQkIC2SJTt25dpYYNppGMuaVCrijk5+dz4oRoS3mXc/LfMjExwf/+9z/ee/j7+xPjii7bIHXp89rQpEkT7Nq1izdxg75tRa5YAyXvQpkiYmpqyprsaALT4KAsPqQ+1KtXD506deI9p6rumRk058+fr1FgY0B/nUFbJBIJfvnlF8hkMpiamrI88QG2gUxTIyXze4pxcLTl3LlzOHbsGEJCQrB//36Ehobi77//Znn8rFmzhjeeipAYov8xx0zFsYGJrm1QGYaQt4cOHSIB0EeOHKl0LPf09MTQoUMBlHiTyb0mjAXz92bOnKk0hIG9vb3KZB6a0Lt3b6XnBgwYQGTCmzdvWJ6ehtLVhBinvvnmG7Lw8ujRI+zbtw8rV64k2zU1iaPZq1cvpfOFOnXqkL4tkUiI4R/QXzYKpW8Zqo4NrSszY1Hz6YtMJwZt51xfffUVaad8C4gJCQlEJxgwYAB5//rqFooYWk/ShDFjxvAmC7CxsSH1LpFIWGOr0PXAR82aNeHj46P0PNMIee3aNdY5IeZKt2/fJl65/v7++OKLL3jvYWVlxfI81XQBQRWl+dufM4JvEdWGe/fukf+dnZ1Z8UiYMAfHt2/fktV9ZrDIyMhIYmG+fPkyCgoK4OzsjDlz5mD06NHIzs5GREQE2d4hV4SaNm3KssIzy2RlZaW0THILd2FhIRITE3k9yHr37q3Skq8pM2fOZMVtycjIQFxcHP7++2/cunULt27dwvjx4znJJTQlPj6elS3Ex8cHTZo0YQkJphJ548YN8v+gQYP0dv3cuXMnQkNDYWJigpUrV6JevXp63U+Ze7Ky5wGEe+8ZGRm4desWEhISYGJiQjJiKfvtu3fvklUMxa26QqDru8rMzCSTMldXV7VJKnr37k2+HxERgSZNmnC+Ex0djejoaBLzqWnTpqhduzbMzc1RVFTEeSdM5VHdqq8qVLmrK3svzPZQo0YNpe2BeQ0zjlSTJk1w48YNyGQyjBkzBmPHjkX37t11yqJTnuVcQkICUUY9PDxUbitycnJCenq6TluPdOnz2vC///1PabwVfdsKM0i+qkmnLtSqVQt2dnbIysrCqVOnyFYePz8/jTMrqkKVPFFW9xkZGURWuLi4qE0MwERfnUFbNmzYQLbuTpw4Ed7e3qzzzJVuuQFFHczv6Zs5l9mn5dSuXRsrV65EpUqViOK/Y8cOnUMMaII+/a+oqAi3b98m2Q4rV66M1q1bs65VZSDRpQ2qwhDyljmW9e3bV+Xv9+rVi8RqDQ8Px4QJE3R+L9qQnp5OJllVqlRBo0aNjPK7fJiamqJt27Y4dOgQgJIwF/KxR8ixS45Q45SJiQl++uknfPPNN8jLy8OWLVuIfjd//ny9vf6AkvYp93h++vQp8RbXVzYKpW8Zqo4NrSszvbqSkpI47YVpVNPUW1mOi4sL2rVrh2vXruHNmzeIjo5mLS7L43qJRCKWfNBXt1DE0HqSJpSGPi4EVatWRa1atfDmzRskJSUhNTUVzs7Ogs2VmHM1dWNEq1at4ODggIyMDERFRSE3N5dXF9CU0vztz5lSNbDJXYUBKA0yrgjTql2pUiXUr18fT58+ZQXXlrvx9+rVC76+vvDw8EB8fDzOnz+Pjh07orCwkFi3mW78MpmMtVIqd/dWh3zfvKGoXbs2Z682ULLKNHnyZDx+/BjBwcHw9PREz549Nb5vTk4OVq1ahYsXL3LO1apVizeAL1DiIi1Hk6DOqggNDSVbJ6ZOnap0JdqQCPHeZTIZgoODsWfPHs5Ey97eXml6ZubKrL6GRT50fVfx8fFEmVG1qiOH+R1FxSk2NhaLFy8m2yaZdOjQQWnwaXnZbW1ttfbc0RembLp48SJvH1GE2R6GDBmCCxcuICYmBmlpaQgMDERgYCD8/PzQp08f9OrVS+OYS+VZzjF/5/3795ytF0L9Tmmib1uRB6q3tbUV3I3eysoKP/74IxYvXkxiW4WFhcHBwQFdu3bFl19+qTajldAkJCSQPq/t+KGvzqANp06dIiu0nTt3xrhx4zjfYfZhZUHHVZVH38yfqpg0aRLxnLp9+zby8vJYMSbLAleuXMEvv/zCyWQuEonQunXrUimT0PIWYI9l6sJ5MBedmOO3oWF6WhtCF9EWpheR3KvGUGOXkONUlSpVMGPGDKxatYrIud69e6Nbt26C1Auz/TC97vWVjYbWt/StY0Pryu3atSOxkkNCQsh2PqAkDpfc2Fu1alXW9j9NGTBgAPF8OnHiBBl3pVIp8ezr2LEja8u0vrrF50JZqYeqVauShEfp6elwdnYWbK7ElPXq7mNiYgJvb29ERkZCIpHg48ePSueYmlCav/05U6oGNrk7MlCyD1xdRj0AnFWLDh064OnTp0hOTsabN2/g4OBA3PrlrtTdunVDSEgIrl27hvz8fDx8+JDsoWeuVkokErLH28zMTOPJjrZpwIXCysoKU6ZMIa7Shw4d0tjAJpPJMHPmTOJ26+XlhU6dOsHe3h5v377FuXPnlE5M5EF+Af0nCPKAqgB4t18ZAyHe+++//07iXzg6OqJ3796oUqUKPn36hNDQUNYKDBNmHesS5Fodur4r5uCkyXXM7zB/MzU1FRMnTiQKcuvWreHv7w9LS0tER0cjLCyM15BbVFRE+qgh6kUdTNnk6Oio0QoNc8uMtbU1du7ciR07duDYsWPkPT969AiPHj1CcHAwfv31V429BMqrnGPGKrGxsdEo85ghUo8bEn3aSmFhIbneUO28V69eJCiwPL5KRkYGjhw5giNHjuDLL7/EokWLBPFo0wRtZQsTIXQGTYiMjMSqVasAlCicK1as4PWUYnqkpKamQiwWq/VKYyqzLi4u+lanyueuU6cOnjx5AolEgg8fPpQpRTgyMhI//vgjpFIpzM3N0bNnT3h5eaGgoAARERGsmEjGRkh5q+1YZmJiAltbW6Snp7PGUkPD7JelMeYqwuxH8kVLQ41dQo9Tbdu2hUgkIt5izMQm+sL0mmV67OgjG42hb+lbx4bWlb29vdG/f38cP36cxCJs3bo1cnNzcebMGaSmpsLU1BRz5szRaddOmzZt4OrqiuTkZFy4cAGzZs2ClZUVIiIiiAGJmdwA0F8P/VwoK/XA57Eu1FxJ27kasw/oO06U5m9/zpSqgY3pZrtu3TpOtjBNYK463Lx5E2ZmZpBKpahZsybZztGzZ0+EhIRALBbj6tWrePLkCYCSPdfM1SBzc3OSQcra2poVG6eswtyyok1q4suXLxPjWo8ePbBq1SrWoPHdd99h0qRJvHF7mMJN3xgyq1atwrhx41BQUIAFCxYgJCREp/gJ+qDve//06RPZ0lG9enXs3buXJYC+++47LF++nDc1M1OJVJY2XR90fVfM8mviAcK8N/PaPXv2EOPavHnzOFsPXr16hREjRnACmpqbm8PCwgKFhYV6tzFdsLe3J/+PHTtWZRIFZVhbW2P69OmYMGECwsLCEBoaioiICEilUqSmpmLGjBk4deqURspCeZVzzHps0aIFCfb8OaFPW7GwsCATMX2D8auiWbNm2L17N2JiYnDx4kWcP3+ebHk5deoUPDw8eD20DAGzvWvrXSaEzqCOFy9e4Mcff4REIoG7uzvWr1+v1Ghma2uLmjVrksDwr169UusR+Pz5c/K/ob0HmcZFTT3sjMWGDRsglUphaWmJXbt2sXSZcePG4fDhwyTLs7ERWt5aWlqioKBA47FM/q6MaehithVD6CLawoz7K+/3hhq7hBynZDIZli1bxtqKGRwcjI4dOwqyiMxXL4r/aysbjaFv6VvHhtaVgZJtvK9fv8bjx48RFRXFCpTv5uaGuXPnsozn2mBmZoZ+/fohODgYubm5CA0NRd++fUlMNnd3d1bcRsU601UP/RwoK/XA7HvyMgk1V2L+r0kfZH5HX0eX0vztz5lSTXLAzAKiayBib29vsgocGRlJ3PiZsWzq1KlDjDbnzp0jcTIU3fiZZcrJyWG5JJdVmIYJZVvt+GBuffj22285KzKOjo5KV9eZyiPftj9t8Pb2JoFfc3JyMHPmzFJxcdbnvd+9e5coUwMHDuQoxebm5pyMUHKYdRwbGyv4c+n6rpjbMxSza/LBvDfzN+XtrEKFCrxxPby8vJSuLsuDHGdnZ5NtdMaCuQVAnyDpQMlqbd++fbFhwwYcOnSIyKKsrCyNvTTKq5yrXr068YzStx7LKvq2FXlcvoyMDIMHGPb29sYPP/yAEydOsBKe/Pvvv0aqLbASGmg7fgihM6giMTER06ZNQ15eHhwdHbF161a1cZOY8d0Ugx8rkpGRQbwITU1NDR7niik3y5JnQ2pqKlkQbNGiBSe2HVC62xSFlrfyMTE7O1ttgPTY2FjisaFLdnhdYbZzQ+gi2sJMzMFcdDXE2CXkOCWPjQyAlZBgyZIlWiXG0rVedH0GQ+tb+taxoXVlAPj111/x+PFjDBs2DL/99htmz56N+fPnY8eOHThx4gRv39aG/v37k7nWyZMnkZ6eTnRA5jk5Quqh5ZmyUA/FxcVEX7GyskLlypUBCDdXqlatGvmfuQinDPl3TE1N9Q4tUpq//TlTqgY2ZiYQZmYgbZGvKNy5c4cMPswsWgDQvXt3ACVBBeXBD/mEJTPuhz5lMhbMlMrMTqIOpluntoq3PDsTAEGyXPXs2ZOkV3737h0WLFjA8WgyNPq8d2ZdauL2zsTPz4/8f+3aNUEUMCa6vitHR0cSH+nDhw9qU17Lg+4CYGWfyszMJPfTp+xHjx4VtF7U0bRpU+IOfvXqVcHcoGvUqIFRo0aRz6qy4ylSHuVchQoVSBtPSkpiZeX7XNC3rTCzJYaFhRmlzGZmZhg7dixJTsGMcWJoKlWqRDw5EhMTWYs96hBKZ+AjOzsb06ZNQ2pqKmxsbLB582aNxtSvvvqK/H/8+HGVnoiHDx8mW+I7duxoUKPX06dPyUTZ3t5e40ytzK3CQo9HcvQZM42FkPKW2W6ZYyUfTGO3YiZH+ZY55pYpofDw8CDv4s2bN8QrszRgyoUKFSqwPD0NMXYJNU7FxcWR+GfdunXDypUrSWbDly9fYufOnXqVUyqVkoD4AFgeT/rKRn30LabMUKa761vHhtaV379/T5578ODB6NKlC4YOHYpBgwahSZMmgoRQcHNzI+33/v37CAoKgkQiId5tihhKDxUK5jZkQ87ZykI9hIaGEg+1Jk2aEFks1FyJ2X/VLXjevHmTxF/08/PT29O5NH/7c6ZUDWzNmjUjK5dRUVHYv3+/Tvfp0KEDgP9XBv38/DhpluWZoOTKbcWKFVkCW87gwYNJR963b5/azlKa5ObmYtu2beSzNkFUmauVyraWKhvA2rVrRyzvjx49Ilsp9GHKlClEob1586ZBM57xoc97Z66saVuXnp6eJC5OUlIS9uzZw/s9mUzGeteaos+7Gj58OPl/9erVSrcYHTlyhExAvLy8SJp6Zt18/PiR1326uLhYqefl119/TZSa/fv34+bNm1o/v65YWVlh4MCBAEr62YoVKwRT6JgBvbXJRlVe5dyIESPI/z///DMnoHl5R9+2In9nQElGZWX18+bNG+JJIwSFhYXEW5i5BcMYMLd4rFy5UmOPCaF0BkWKioowe/ZsvHnzBiKRCIGBgbxeVXz4+vqSTGBpaWlYu3Yt7/dev36NP/74A0BJnC2moV0XVBnycnNz8fPPP5PPPXv21HiCyMymxwx8LyT66B/GQkh5O2TIEDIhCwkJIYGyFXn+/Dn+/PNPACXbxxVjMsm9XXNzc3nfjVgsJok5dEFuMASANWvWKJ00nz9/XquQJHwws1YykUgkWLlyJan3r776ijWRN9TYpe84JZFIsGjRIhQUFKBSpUqYN28egJJth/I+FRISQrISa1svALB7927ivVWvXj2W4fH/2DvPqKiur40/9CIiICgqdlREROyixp7YjTV/ayRiwZJI0ETsiGhIxB4VjS1ij4nG3qIYGwpGVEAUEFBAkCKdoc28H2bNee+FGZgKqPu3lsth5tZz9mn77KJq36jKfMvY2Bj6+voAxPNYWW1XlTLW9FyZOwZt3boVZ8+excWLF3Hx4kVcunQJgYGBiI6Olpn8TV64bfrPP/8EIJ6nS7OU1uQ8VB1UxVhRVeWQlJQkc1MhLS0NW7ZsYX+PGzeO97s61krOzs7MUi84OFjmRkxubi7PvVod7rLVee+PmWpVsAHAsmXLWMe8ZcsWLFmyBA8ePEBmZiaKiopYClx/f3+ZyoGuXbvygg9yzfglcDtnQCxQ0oKAWlpaYuHChQDEC5C5c+di69atiIiIQG5uLoqKipCWloagoCD89NNPuH79usbLKCUlBXFxcezf8+fPcerUKUyZMoVNcpo1a4aJEyfKfU1JWnlJuaekpLC/hUIhdu7cyTJilUVXVxdLly5lrn179+7F/PnzERgYiKSkJCQnJ+PJkyf4888/sXjxYrlcV7W1teHj48NM3o8cOVLpTq86UaXeu3TpwrKznTx5styE7+bNmyxGmzTmzJnDPu/evRu+vr7M9aGoqAgPHjzAnDlzWBYjRVClrgYPHsx226Kjo+Hq6spLlf7+/Xvs2LGDxcnR1dWFp6cnz8xdImelpaVYv349b1GYm5uLhQsXyhwomzRpghkzZgAQT14XLlyI9evX49GjR3j37h1ev36NkJAQ7N+/H1u3blW7TMyePZspJ2/evAkXFxdcuXIFKSkpLJ7Oq1evcOLECTaZlrB27Vrs2LEDL168YO9XVFSE27dvM1nQ1dUtF3OjIj7Ufq5fv34YOHAgAHEmsClTpuDYsWOIi4uDQCCAQCBAYmIirly5gh9//LHK3YHVgSqy0q9fPxYvJy0tDd988w1u3LjB2sq7d++wf/9+fP3117wYIPIQHh6O7777DtevX+dlnHv79i28vb1ZLA1l48ooy/Dhw9nkMjk5GVOmTMHevXsRGRnJ3Afv3LkDPz+/cjuq6pgzcBGJRPDy8mKJaIYOHYrCwkLcvn1b6j9pC/oVK1awGEGnT5/G0qVL2WRdIBDg/PnzmD17NosdNGnSJJXir0VERODLL7/Erl278PjxY7x//x6FhYVIS0vDxYsXMXXqVOaKYm5ujlmzZsl9ba6CaNu2bYiIiEBqaiqz0FIHpqamLDN6eHg4jh49yht7YmNj4eXlpbb7KYM6+9uGDRuycV4gEGD27Nm4cOECs0QTCAQ4d+4c3NzcWPDsOXPmMDckCVx35J9//pnnUh4REQFXV9dKFTgVMW3aNBaL7cGDB5g/fz6ePn0KoVAIoVCI6Oho+Pj4YPny5QqFJJHGsmXL4Ovri1evXkEkEkEkEuHp06eYP38+s16rW7duuWyTmhq7VB2n9uzZw9rcypUrmfLB3Nwcy5YtAyCeB61evbpCC8RTp05h3rx5vNAjCQkJ8PX1Zf2ZlpYWFi1aJLVMle0bVZ1vSSyxBQIBfv75Z8THx+Pt27c862hVy1iTc+U2bdqwPvzff/+Ft7c3Vq1ahVWrVmHlypVYvHgxJk6ciBEjRqi0Nvnss8/KKdPKKtK5qDK30DRc6/uTJ0/izp07SE1NRVRUlNrvpelyyM7OxvTp03Ho0CGkpaUBEFsK//PPP5gxYwbzNunevTvbfJGgjrWSjo4Oli1bxsYPb29v+Pv7szmfUChEcHAwZsyYwcbiXr16sfakCtV574+Zak1yAAD29vbYsGEDli9fjtzcXPzzzz/4559/pB5rbW0NNze3ct8bGhqia9euuHPnDnR0dHi7cFy++OILppCqyJf+q6++Qk5ODvz9/VFcXIyAgAAEBARIPbawsFBt6bdl4e3tLVcZVpa9jEvXrl3Rv39/3Lx5E7GxsRg7diwcHBxgbGyMFy9e4P3797CyspLpwta9e3d4e3vDx8cHAoEADx48YHEnyhIeHi7XYsLExASbNm3C119/jdzcXKxbtw5NmzbldeKaRNl6NzExwbx58+Dn5weBQICZM2fC3t4e9erVQ0JCAqKjo2FjYyMzXkj//v0xefJktnN96tQpnDp1igWdBcQTKnd3d94uirwoW1daWlr46aefWLbZqKgouLm5wcjICMbGxsjIyGADiL6+PlavXs0WTRKmTp2KS5cuITExEVevXkVwcDDatm0LoVCIp0+fwtTUFNra2jJ3BWfPno28vDwcPXoUQqEQf/31l1T3hVq1amH+/PlyZc6Sl9q1a2P79u3w8PBAbGwsIiMjsXz5cpnHJyUloWHDhsjPz8fFixdRXFzMdlm5dSnBzc2NuejJw4fcz3l5eaG0tBSBgYFIS0uTaeUjeWZ53dlqCsrKCiDeXFi/fj3mzJmD9PR0JCUl4ccffwQgdgmTZIpr06YNbG1tFYqXFhgYiHv37rH4UDo6OtDS0uIpta2trTF79uwqLS8dHR388ssv+PHHHxESEsLkUJpCzNnZGcOHD2d/q2POwOXOnTu4cuUK+/vcuXMVuljZ2dmVsw5p0qQJtmzZgu+//x4FBQW4du0arl27xqs/CUOHDsV3332nUvldvXoV6enp2LdvH/bt2yfzODMzM2zdulUhV9SxY8fixIkTyMrKwpMnT/D1118DEG+WVNRuFcXDwwOurq4oLi7Gpk2b8Mcff6BFixbIysrC06dPq70PUHd/6+LigvT0dBw7dgyZmZlYvXo11q5dCzMzM2RmZvLa5KRJk6RaOE6ePBkXLlxAUVER7t27x7KVFxUVISUlBSYmJnBxcalwQ68irK2t4eXlheXLl6OkpAQhISGYMWNGuX5j5MiReP78uUpWbH379mVzHWn9Uu3ateHn5ydVdjU1dik7Tj179oyV+ejRo8ttWAwYMABDhgzB5cuXERsbi127dsHd3V3qdfv164fAwEDmQll27qClpYUlS5Ywq1kuqvaNqsy3vvnmG7ZJcfr0aRaSxMPDg2fho8pcQJNzZTMzM4wZMwbHjh2r8Lh3797By8sLQqFQqltnZejq6mLEiBFMXurXr89z0SuLKnMLTdO5c2c4OTkhNDQUaWlpTKZNTEwQGBio1ntpuhxsbGxgaGiIbdu2Ydu2bdDX10dxcTFvI6FVq1ZSM4qrY60EiDdQ1qxZgzVr1qCoqAh79+7Fvn37YGFhgfz8fF5yj06dOrFM5+qgOu/9sVLtFmyAWBN68uRJTJw4UWY8jhYtWmD06NEyF+KSAc3Z2ZlntspFYs6vra1dYYcGiLNY/f777xgwYIBUxZWOjg46duxYLkZGVaCjowNLS0v06dMHPj4+OHDgQLmdTnnw8fHBhAkToKuri8LCQjx69Ai3b9+GsbEx/P39ZQbmlzBkyBAcO3YMo0aNkuqHbWBggEGDBimk+GvSpAl++uknaGtrM7edqowPpGy9T5w4EZ6enszlLyIiAoGBgUhNTcWKFSswevToCu/r4eEBLy8vXj1KJgy2trbYvXs3L9aPoihbVyYmJti5cyfc3d3ZrltBQQHS09MhEomgpaWFzz77DIcOHcLgwYPLXdfExAR79uxh8T3ev3+Pe/fuISgoCE5OTti/f3+FrktaWlrw8PCAv7+/TOsACwsLDBs2TCOZpRo3boyAgAC4u7ujadOmUo+xsrLiua0UFxdj+PDhvOw63Aly48aNsXbtWhZ3UBE+1H7OyMgIfn5++Pnnn9GhQwepiS2MjY3Rv39/nkXIh4QysiKhWbNmOHToEAYNGsSbvBUXF8PAwAATJ07Evn37FM7YZG9vz+KDAGILCskiVldXF0OHDsXBgweZ61lVYmpqip07d2LVqlUyA9o3a9aM50YhQR1zBgnqimfVpUsXHDt2DP3792d9Gle5Zm1tjdWrV8Pb21vljYAxY8Zg5MiRzHK6LHp6ehg1ahSOHz/Oq395sLS0xJ49e9ClS5dyO+zqxN7eHjt27GBt5c2bN7h16xbCwsLw1VdfYeXKlWq9nzKou79dtGgRL8NjSUkJ0tLSWJts3bo1Nm3aJNU6CRBbzP3yyy9M6VRSUoI3b94gJSUFdnZ2OHjwIC/YvTIMHDgQe/bs4W2KSvoNCwsLeHp6YvXq1eUWmYri5eWFhQsXonbt2rx+STKnCAgIqHBzVRNjlzLjVEFBAVauXAmhUIiGDRvCw8ND6rV//PFHNoc6cuSITNfWL7/8Elu3bmXWOty5g62tLXbu3Ck1YZQEVfpGVeZbPXr0gJ+fHy/xgqQeVC1jLpqYKwsEAri7u+PYsWPo27cvDh8+jD179rBNn507d8LHx4fn+aNKaBzueuDLL7+UmehLgipzC02zefNmjBgxgllOAuofK6qiHExMTLB3717mkl5UVMSUYgYGBpg0aRL27t0rs02pulaSMHjwYBw6dAifffYZtLS0IBKJkJ6eztqbpaUl3N3dsXPnTrXHP6vOe3+MaIlUtfPWAAkJCUhLS0NxcTFMTEzQuHHjSitTIBAgISEBdevWrXC3NjY2Ftra2jIbpzRKSkoQFxfHzCXNzMzQpEkTXofyIZOVlYXnz59DIBDA2tpa7tgzXIRCIeLj45GRkQFdXV3UrVsX9erV+6DLSJl6LyoqQkREBDIyMmBubo527dopVAYikQgvXrzA69evAYgVjsrUR0UoW1dCoRCRkZGIj49HYWEhLCws4OjoKHPhUZakpCRER0dDW1sbzZs3LxfPRh4EAgHi4+ORnZ2NWrVqoW7durCysqp0gqIu0tLSkJycjLy8PBgbG6NBgwYyswwKhUIkJCQgJSUFAoEA+vr6aNSokUqZ4T6Wfk6SAS47Oxt6enqwsrJCw4YNq6weqwJFZIWLxI0nMzMT5ubmcHBwUChWnzRycnJYuxEKhahTpw5sbW2ZO1hNIDMzEwkJCSgoKICZmRksLS3ltrxSZs6gSbKysvDs2TOkpaXB0NAQzZo1U3s/Dojb7MuXL/HmzRvk5eVBX18f1tbWcHBwUGhjSxa5ublIS0uDnp4eGjRooJH2KRKJEBUVhcTERBgZGcHOzk7uMUXTaLK/TUhIQGRkJLKzs2Fqago7Ozu5xwaBQICQkBC8efMG+vr6aNmypVSLCFVJTExEVFQU8vPzYW1tDUdHR7VaiQNiBfezZ8/w7t071KpVC+3atZOrn+SiqbGrqsap9evXM0uxzZs347PPPoNIJEJERAQSExPZnKmyTW9pqNI3KjvfysjIQFZWFmrXrl1pXSpbxuqcK2/ZsgWHDx+GqakpLl68KLPvFIlEmD59OnPDvnLlitKbU3FxcSgpKUGjRo0UHoeVnVtokuLiYqSkpKC0tBTW1tZVouhTtRzS0tJY4hquZfr79+8RHh6OrKws1K1bF46OjjI3s6Sh6lpJgiTreHp6OgwNDdG0aVPY2dlVyTy5Ou/9sVAjFWwEQRAEQRAEQRAfM9IUbETVMWXKFLx48QK2traVJglZunQprl27BkDsql9TsyATlSNLwUYQ6oBUkQRBEARBEARBEMQnhST0QkxMDIsjJ42YmBgWz9TGxoaUawRByKTakxwQBEEQBEEQBEEQRFUyefJklvXRzc0NPXr0QPv27WFhYYHS0lJkZmYiLCwMwcHBLFbgggULqvuxCYKowZCCjSAIgiAIgiAIgvik6NOnD3x9fbFhwwakp6fj/v37uH//vtRjLS0tsWjRIpWyqhME8fFDCjaCIAiCIAiCIIgqpm/fvqhXrx4AlMvCSVQNgwYNQt++fREUFITHjx/jzZs3yMnJAQDUqlULNjY26NixI5ydnas8UyehGWrVqgU3NzcA4uyjBKFOKMkBQRAEQRAEQRAEQRAEQagAJTkgCIIgCIIgCIIgCIIgCBUgBRtBEARBEARBEARBEARBqAAp2AiCIAiCIAiCIAiCIAhCBUjBRhAEQRAEQRAEQRAEQRAqQAo2giAIgiAIgiAIgviIKS0tRWZmJnJzc6v7UQjio4UUbEqSm5uLbt26oVu3bpg6darMY4RCoUr3mTp1KrsPdYaa5dq1a6yst23bpvR1SktLkZeXV92vw6hMhgQCAYqKiqr7MasNdbRTTfGp1w2hOjSGfHr8/fffrM73799f3Y9DfCTUtLlNTaY6x+6cnJzqfn0eI0aMQLdu3eDs7Fzutw+pr6pp5cpFHnmLjIzE999/jz59+mDQoEHo168f/P392e+5ubkQiUTV/SrER8SnPGaQgk1JRCIRhEIhhEIhSktLy/3u7++Pfv36YcKECSp1yqWlpew+1PGV5/Lly3B2dlb6382bN9m1JOUs+acMKSkpGDlyJPr164eTJ09Wd/EAqFiG7t69i4EDB+Lzzz9HWFhYdT9qlaOudqoJPvW6IdQDjSGfHtz5SU3dPCA+LGri3KamUl1jt1AohJubG/r37w9PT8/qLgaGZAyStlb6EPqqmlquEuSRt4cPH8LFxQW3b99GYWEh790AwM/PD/369cOUKVMgEAiq+5WIj4BPfczQre4H+Fi5fPkyACA+Ph4RERHo3r17dT8Sj4iICAQEBAAAnJ2dMWrUqOp+JKUQCoUoLi5W+nxpA74qPHr0CO/evQMAXLlyBV999VW1lk9l3LhxA4WFhSgsLMS///4LBweH6n6kKqWydrp9+3YkJSUBAFasWIFatWpV2bN96nXzoVKdMkNoFoFAgDVr1gAA6tevD3d39+p+pI+Sj2V+8jFRk+c2VdUuz58/j7t37wIApkyZInNMVvfYLe/7paamIiQkBABw/fp1lJSUQFeXlnmqUtPLtTJ5Ky4uhre3N0pKSgAAo0ePxsiRI1G7dm0YGRkBAC5dugQAePnyJV69egV7e/vqfi2VofG6eqnJY0ZVUHN6iI+MYcOGYc+ePWjatCnatWtX3Y9Tjnfv3uHatWsAADMzsw92Auvo6IjVq1eX+76oqAg//fQT+3v58uVSB0R1102XLl1Qr149pKamYsiQIdVdPJUycOBAXL58Gbq6uujTp091P06VU1k7vXfvHqKiogAAS5YsqdJn+9Tr5kOlOmWG0CzFxcVs3GzRogVN2DXExzI/+ZioyXObqmqXkZGR7D4DBw6UqThT99gt7/tZWVmha9euCA4Oxueff16jlEAfMjW9XCuTt//++w/JyckAgN69e2PFihXljhk2bBiOHTuG1q1bo2XLltX9SmqBxuvqpSaPGVVBzeolPiJmz56NyZMnw9jYGNra5ImrKWxsbGBjY1Pu+/z8fJ6CbdiwYTAwMND489SrVw/nzp2DQCD4ICxXevbsiX/++Qfa2trQ19ev7sepcmpyO/3U64YgCIKoGXxoc5vqpLrGbm1tbezatQs5OTmoXbt2dRfDR0NNL9fK5O3Vq1fsc7du3aReY9GiRZgzZw5q1aoFLS2t6n4l4iPgUx8zSMGmQUxMTKr7EYhqQEdH54PqTAwNDav7EaqVmtxOP/W6IQiCIGoGH9rcpjqpzrG7JiqBPgZqcrlWJG/c5EYVvUNNngsTHyaf8phRZQo2gUCAp0+f4t27dygqKoKpqSmaN28u0xT1xYsXePbsGTvexMQEzZo1Q7du3WBqair1nMLCQhao3MjIiFVqWFgYQkNDkZGRgTp16qBz585yxUQoKSlBSEgIIiIikJ+fDysrK/Tq1UuqxVRZsrOzWUYXc3Nz6OjoyDz2xYsXCA4Oxvv371GnTh04OTnB0dFRrnItLS3Ff//9hxcvXiAzMxNCoRB16tRBmzZt0KVLl3KmzMXFxcjKyuIFdBcIBEhLS2N/m5mZSTWBLikpQWhoKJ49e4acnByYmZnB0dERHTp0qHDHQygU4vnz54iPj0dRURGMjIzQqFEjtGrVqkqsylRFEfkpKSlBZmYmAPGAJ23A0kR5KCtDBQUFLMOLiYmJ1EFakefNzc1lAVJNTU2hr6+P0tJS3Lt3Dy9fvkRBQQGsra3h7OyMRo0aVfhseXl5ePjwIWJjY5GTkwNdXV3UrVsX7du3l+naKxQKkZGRAQDQ1dWFmZkZ712jo6PRvn179p2sdpqVlYXi4mJejL6MjAwWw8LAwAC1a9eGQCBgkxdunyOLjIwMCIVC6OnpoU6dOkrXjaz3TE5Oxu3bt5GSkgIDAwO0bdsWzs7OFfY/lREdHY3g4GCkpqbC2NgYrVq1Qvfu3aXKSl5eHgoKCgDIln8AvHLjvpusPjw8PByPHz9GRkYGLCws0LFjR7ndu5Xtt8rWW3h4ONLT0wEAFhYWaNOmDerXr8+OkVdmpPHu3Tvcu3cPiYmJ0NHRgY2NDXr27AkLCwu5nk+VMURWvcgjz5mZmSgpKZEqzxkZGQgLC0NGRgaT0ZYtW6JBgwYKP5cslOkjpCFP/aalpfGyYZWWlvLGTa4cyzMOAPz+sk6dOtDT0yt3jDJzIXUgaTfh4eHIyspCnTp10K5dOzg5OVXoIpWTk8OCaMua+3D7L67sqDI/kdRJZGQk3rx5g9zcXBgbG8PGxgb29vYVPrOy7yptvMvKysKNGzeQmJgIExMTtG/fHp07d+adl5KSgtu3byM5ORmGhoZwcnJCly5d5K4TZfqy169f48WLF8jLy4OBgQGsrKzQqlWrSsch7r3lkWlV7yNB3nmHIu1SQnJyMh49eoSEhAQUFBTA0NAQDRs2ROfOnaXOS/Lz85Gfn88L/p6bm8vuo62tzeur5ZlXCQQCPHv2DMnJyRCJRDAxMUHTpk3RvHlznjW9ou+Xnp4OkUgEHR0dmJubV1jGirYXRctNFaS1LVlwZdPY2BjGxsZy3UMRWZWnXIVCIR4+fIiwsDDk5eWhXr16cHZ2RrNmzdg1goODoauri0GDBgFQz7pVlrxJ5JYrP1y55ZaXZCwHxONfRR4disqNOufy8s5xlekXFIVbZnXr1oWWlhbi4+Nx7949pKWlwcLCAr1790bTpk155z1//hyPHz9mx/Tq1QvNmzev9H55eXkICgpCTEwMioqKYGVlhe7duzP5koUy7VYdclnRmKHuNUxKSgru3r2LxMRE6OnpoU2bNujVqxf09fUhEonw5MkTREdHo1evXmqdg1aExhVsSUlJ2LNnD65cuSI1GL2NjQ2WL1+Orl27AhBX3tq1axETEyP1egYGBvjmm28wc+bMcr8FBgZi+fLlAICpU6di2rRpWL16NYKCgsod269fP/j4+MhsYPfv34evry8SExN532/YsAGjRo3CnDlzKnzvJUuWIDg4GABw6tQpqQ3g9evX8PHxwX///VfuN0dHR3h7e1d4jzNnzmDXrl1sUVAWS0tLLFu2jOeT/+TJE7i5ufGOO3fuHM6dO8f+PnLkCNq0acM75u7du9iwYQMSEhLK3adVq1ZYs2YNWrduLbVO/Pz8mP8/Fz09PYwdOxY//PADaiLp6ekKy09YWBiTzc8//5znpqqJ8lBVho4cOcLSdHt6emL8+PEqPe+2bdvw119/AQA2b94MQ0NDeHt74+3bt+XOHzx4MDw9PaUqHXx9fXH+/HmZ2Yzatm2LtWvXlmtXGRkZzNffzs4Ohw8fRnp6Ovz9/XHu3DmmNJcgq53+8MMP5cqUG6Czb9++2LhxIxITE/G///0PAODk5IS9e/fKLOu4uDhWvtOnT8e3336rdN2Ufc+DBw9i27ZtOH78eLlMXM2bN8fmzZvl2hjgEh8fj59++olXXhIsLCywePFifPHFF7zvX716BVdXVwiFQpibm+PkyZPlJqNCoRDz58/HkydPULt2bZw4cYK1o7J9+IQJE7BmzRqp8u3g4IAVK1bA1tZW5jso229JCA0Nhb+/v9QykDyDn58fLC0t5ZYZLnl5edi8eTPOnj1brt709PQwdepUzJ07V+ZkV9X2X5aEhARMnDgRAGBvb49Dhw7JPDY9PR3Dhg1DaWkppk6dyuKb5OTkYMOGDbh8+bLUrHANGzbEpk2bKqw3eVC2j+CiSP2WjSESHx/P+87DwwOTJ08GIA4U/fXXXwOQPg5I2Lx5M/7++28A4r6zZ8+e7DdV5kKqcvHiRezcuVNqv29tbY158+Zh2LBhUs9duXIl7ty5A0D23Cc1NRXDhw9nZXzw4EEAys9PCgoKEBAQgBMnTiArK6vc/UxNTeHq6oopU6ao9V3Ljnd5eXlYt24d22SQ0Lt3b/zyyy/Q19fHvn37sHfv3nLz4R49esDPz0/mnFTZvuzVq1fw8fHB06dPpV7XwcEBe/furTSuVGVzG3XdB1Bs3qFIu8zKysLSpUsRHBwsM6PyF198gWXLlvEWgwEBAfjtt994x/n4+LDPJiYmCAwMZH9XNHaLRCLs378fv//+O/Lz88vdv3bt2vjhhx+YzCnyfgAwdOhQCIVCWFhY4OrVq1LfUdH2omy5qcKlS5fw888/AwBcXV0xd+5cmcf+/fffTB7L9qPSUEZWKyvX8PBwrFq1CvHx8eV+GzFiBJo3b47ffvsNAoEADg4OTMGmjnWrLHmTJrcbN27kzUNmzJiBefPmYcGCBYiMjAQgTv5laWlZ7v7K9LPqmssrOsdVtN0og6urK6vvwMBA/Pbbbzh69CivjWzevBlubm6YOXMmBAIBvLy8cP36dd51tmzZwupBGiKRCEeOHMHevXt51ogS+vfvjxUrVpRTDKvSbtUhlxWNGepaw5SUlGD79u04fvx4uaSFVlZWmDt3Lv7++288efIEgLh/qCoFm0aDDt29exeTJ0/G+fPn2WSirLlgQkICb+fHyMiITShtbGzg5OSE1q1bs0wnhYWF8Pf3ZxMyWWRkZMDV1RVBQUGwtraGo6Mjr8MIDAzE9u3bpZ57+fJlLFy4kCnX9PX14eDggLZt26JWrVo4e/Ysvv/+e5XKJjo6GjNmzGALIy0tLdja2qJDhw6wtLTE06dPMWPGDKbhlUZRURHS09Ohq6sLW1tbdOzYEc2aNWODQlpaGn744QeEhoaq9KynT5+Gu7s7EhISWBDN0aNHMwuJqKgozJw5E9HR0eXq/4cffmCTJFNTU1hbW7Nd+uLi4hprwaaK/MhC3eWhDhnS5PNevXoV8+bNw9u3b9G4cWM4OTnxLEKuXLmCmTNnSp1kvn//HgKBAEZGRmjbti2cnJzQsGFD9vvz58/h5uYmdZDnEhsbi+nTp+P06dNsp0mdtGzZEk5OTgDEi/XY2FiZx/7xxx+snsaNG6e2ZxAKhfD09MTRo0eZxUTjxo15ZfDDDz/IHGClERERARcXF6Z46NChA8aOHYsePXpAX18fGRkZWLZsGc6ePcs7r3379pg2bRoAcR1KUywcPXqUDXZLlixBvXr1pD6DpO7+++8/WFpaokOHDrxdPsng/fLlS6nnK9tvSdi3bx9mzZrFU74YGBjwJhFJSUlyW5mVJTs7G66urjhz5gyEQiEaN26M0aNHo3///jA3N0dxcTEOHDggU0mmifZva2vLdiMjIiJklg0gzqgnmdCMHj0agFgW3d3dcfHiRQiFQujq6sLa2po38UtJSYG1tbVSZcZF1T5C0/WrKuqaCymKr68vVq1axfr9+vXr8/ru5ORkrFq1Cr6+vtVSLmVJSEjAtGnTsGfPHl5dm5iYsF3v7OxsqdaB6nzXmzdvYsWKFdDT00P79u15k/g7d+7g6NGj2L17N3bt2gUDAwM4ODjw5DUoKAi//vqr1Gsr25elpqZi1qxZTJEgsVyQyBAgXrypGrRdnffR5LzR1NQUUVFREIlEsLCwQPv27eHg4MDbBLp69SqWLl2qUnlUxI4dO7Br1y4277G0tISVlRWzQMzJyVHY2k8RlGkv1VFuQ4cOZfJz9uzZcotnLpK5lY2NDZydnSu8ribaRHx8PObNm4f4+HiYmJjAxcUFnp6eGDx4MADxWLl9+3YIBALo6enJVEJqYt2hLpTtZ9Uxl9fEHFfdbNq0CUeOHEH9+vXRvn17nveMv78/QkND4e7ujuvXr8PS0rLcMfv37+cp6bmsXr0aW7ZsQW5uLurUqYOhQ4di2LBhzDLu5s2bmDVrVrmNHXW1W03LpSr1+8svv+DIkSMoLS1F9+7dsXjxYri5uaF+/fpITU2Ft7c3W2+YmJhInQdoCo1ZsIWHh+PHH39krgJ9+/bF9OnT4eDgAG1tbQgEAvz333+4d+8ez020ZcuWWLp0Kfr27curQIFAgMOHDzMt/b59+zBx4kSZu30XL16EpaUlbzdDJBLhzz//ZJOl06dPY/78+Txz4tjYWKxdu5ZpUCdPnswCPwJipda5c+ewbds2pcumsLAQnp6ezHSye/fuWL58Oet0RCIRHjx4gF9++QWvX7+WeZ1+/frB1NQUffv25Q0O7969w8aNG/HPP/+gtLQU/v7+rNzat2+Ps2fPIigoCOvXrwcADB8+nGeRZ2VlxT6HhYXB19cXIpEIlpaW2LlzJ1q0aMF+v3v3LpYsWYL8/Hx4eXnh8OHD7LfffvsNIpEIRkZG2Lx5M3OBEIlESE1Nxf3798vtRNcUlJWfilBneahLhjT5vJcuXUL37t3h4eHBa+MPHjzA6tWrkZaWhpiYGGzevJntlEiYNGkSJkyYgI4dO/JMg58/fw4vLy/ExMQgLS0Nf/zxh0wLDoFAAA8PDyQnJ8PExAQ9e/aUe2G/fv16FBUV4bvvvkNcXBwA4PDhw8wli9vvjB8/nimxz5w5I1X5XlBQgAsXLgAAevXqxZtgqIokrfrixYsxbtw4NoCEhobi+++/R05ODqKiohAcHCwzwC2X3NxcLF68GDk5OdDW1sZPP/2EgQMHst/j4+OxaNEixMXF4ZdffkHPnj15fbWbmxvu3LmDmJgY3LhxA5cvX2Y7VXFxcdi5cycA8Y5WRZmF7t69i0aNGsHb2xvOzs5sARIfH88GzdzcXCxbtgwnTpzgyYkq/RYAHD9+HLt27QIg3hSaNGkSxo4diyZNmgAQuwbcuXOHlZGiMgOIJ02SBfHUqVPx7bffsnfIzc2Fl5cXAgMDcf78eQwYMIBniazJ9j927FiEhYUBEFsGLFq0SOpxEuVqp06d2O5zUFAQm8wMGTIEnp6ebDEhEAjw8uVLREREqMXKQZU+Qpn6PXv2LPLy8jBp0iQAQJMmTXgKEXW7a6prLqQIBw8exKlTpwCIF/6rVq3iWYPcu3cP3t7eSEtLw6lTp9CwYUNmqacOFJ2fZGdnY8GCBcyqy9bWFnPmzIGzszMMDQ1RWlqKly9f4sKFC+jfv79G3/Xs2bNwcXHBrFmzmALo4sWLWLVqFbtfXl4exo8fj++++47NG7jHnDlzBt999x3PHU6Vvuz48eNs4bpo0SJMmDCBKQ6ys7MRGhqqlo0ndd5H0XmHIu1SS0sLS5YsKReeRiQS4caNG/D29kZeXh7u37+Px48fo2PHjgDE64CRI0fit99+Y9aUnp6eTF7kTZCUm5vL6qdFixbYunUrU8SWlJTgzZs3uHXrFs+lWJ39jrLtRdlyUwUTExMMHjwYZ86cQWpqKu7evSs1Q2ZoaCgbR8eNG1epq7Qm2sSOHTuQl5cHPT09HDhwgG0Ejh8/Hra2ttixYwcA4Mcff8T48eNlyou61x0SuT169CiOHz8OAFi4cCFvPidPXDlV+ll1zOWVmeNW9Xh99epV+Pj4sDltSUkJ/Pz82Bjj4eGB/Px8LFu2DKNHj4a2tna5Y06ePIl+/frxrnv48GFcvHgRANC5c2f4+fmxOhMKhThw4AB27dqFV69ewd/fn7f+UFe71cR6WNX6BcSbzBIL8uHDh2PNmjXstwkTJuB///sf0tLS0LhxYxw4cICn0KwKNGLBJhQKsW7dOqZc++abb7Bx40Y4OjqyjsXQ0BA9e/bE4sWLy50/bty4cuaphoaGmDlzJrp37w5AvGCVLAKkYWpqin379vEmTFpaWhg/fjzb9SsqKipn/bBr1y723JMnT4aHhwfP4k5fXx/jxo2TudMoD2fOnGELsHbt2mHr1q28BbeWlhZ69OiBAwcOSDXTlVCvXj0MGTKEp1yTfL9mzRq2iAkNDWUWhAYGBmjYsCFvV97Y2BgNGzZk/7ga3m3btrGdo1WrVvEmdoBYWeDi4gJAnMKcay0nMTfu3LkzL76IlpYW6tWrhy+//BJ2dnZKl6MmUVZ+KkKd5aEuGdLk8w4ePBi//vpruTiL3bt3x/bt29mk5ty5c0hNTeUdI4lJU9bvvm3btli2bBn7++HDhzLvHxcXh+TkZCxYsABXr17F+vXr8d1338n17paWluXagrW1NWsj3PYzcOBA1nFfuHBBqiv8pUuXmGl3WTdcdeDr64uJEyfyntfJyYl3L1nuEGU5cuQI3r17BwD4+uuveZMxAGjatClL8y4QCJiLmwQ9PT2sWbOG1d3PP/+MtLQ0lJaWwsvLC0VFRbC0tKx016xZs2YICAhAz549eZPmpk2bYvv27cxcPC4uDjdv3uSdq0q/9e7dO7Ybp62tjU2bNsHd3Z0pXwBxHKgRI0awyRugmMyEhITg9u3bAMSunN999x1P1k1MTODt7c36cMnkWIIm2/8XX3zBxrxLly5JlefHjx8z14gxY8aw7yV9BgBMmTKFp0gzNDSEo6Mjc0FVFWX7CGXrt2HDhjwFva6uLm/c1ESAaHXMheQlJSUFe/bsYffw9/cv52rVs2dP7Nq1iynzdu/ezYtroyqKzk92797NFn1du3bFwYMH0b9/f/Z8Ojo6aNu2LRYvXsxTzGniXSdNmoQFCxbwrKuGDRvGLEJzc3OZ0pm7CBk2bBjs7e0BiPtTbsY/QD1zMGNjY0yaNIlnlWNqaoo+ffpgwIABKtebOu+j6LxD0XY5aNCgcnMSLS0tDBw4ENOnT2ffcfuN2rVro2HDhry1gJmZGbuHvBt3MTExTHkzatQonpWjrq4umjdvDhcXF56yXJ39jrLtRdlyUxXu/OX06dNSj5FYr+nr62PUqFGVXlPdbUIoFDKX+P79+5eLpTVt2jSmMH/+/HmFylh1rzskcstVonHltuxvslBFbtQxlwcUn+NW9XjNVa5J7vfdd9/xlLeenp4YO3YskwFdXV0sWLCA/V12HM/JyWFhZ2rXro1169bx6ktbWxuurq4sxNbp06fLueKqo91qYj1cFmXWMJI5NCDWM3GpU6cOO/fNmzcyXZQ1iUYUbA8fPmQFbWdnJ9OvWBm4AcormuyMGDFCZvA+bpwKrvtMZmYmW6jVrl27Qp//yoIKVgR3oPDw8JBpilynTp1Kg5TKwtDQkMW44QYaVITExETmftS6dWuZcQ24gxHX3UbSUBISEqQu0moyyshPZaizPKpChlR93iFDhsjcTWzVqhVvp+fu3btyX5cbULOsYo6LtrY2/Pz84OLiUmGAXFXR09NjEztuH8JFskPVsGHDSuODKEqbNm3K7XpJ4Mrq+/fv5bqeZIdeS0uLuXuWxcnJicmVJIYdFzs7O8yYMQOAeJKwdu1aBAQEsAmEl5dXpTuIvXv3lnmMsbExXF1d2d+3bt1in1Xtt06ePMk2WSZOnIhevXopUSvylTEgVmJKm3QbGxujR48eAFBuV12T7d/Q0BBDhw4FIJZnbtlKkChVTU1NeeXInRzJih1WFVTUR1RF/VYF8s6F5OWPP/5gCV+mTp0qc47TvHlzpiQtLCyUufDVNHl5efjzzz8BiBVza9eulduKTxPvKss6mKsQK7tZwb2PBO5cTV1zsIKCgnLxhNWJOu9TnfNGbpuqaG6h6rsBVd8/qtJeKkNT5WZnZ8eC4N+9e5dt/EnIyMjAP//8A0C8MSSPa62620Rubi7rS6StGXR1dXku5xWhiXWHqmhSbuSdy6t7jqsJpPX/xsbGvLA40vp/ExMTFiYlPz+fyRIgdv2UbMyPGDFC5mappP/Pz8/H8+fP5X5medutpuVS2frlxp+X9nzcmG2VtT1NoBEXUYk2H5DPZFcamZmZePDgARITE6GlpYWmTZuiZ8+evIZd0eBb0S6BrGuEhIQwH9+ybpfq4v3798ycuUGDBujQoYPK10xISEBISAhSU1OZn3unTp3kLitZPHr0iH1u2rQpnj17JvU47rW5AT47deqEu3fvIi4uDi4uLvjmm2/Qu3fvak1fLi/KyE9lqKs8NCFDmnxeWfTu3Rvnz58HII73JInjxCUsLAxhYWEsLknnzp3RsmVL6Onpobi4uMLyb926dZUtnseOHcsCwp8+fZoX/D80NJRtOIwbN05udxJ5qah/VVRWExMT2UBkY2NToXuhhYUF3r9/L/MYV1dX3L59G5GRkbh79y7u3bsHQGy6LVEcqULv3r3Z54iICPZZ1X6Lq+zVhLVh2Wc0NDSU+YwSa5iioiIkJyfDxsamStr/6NGjmVL47NmzLCAzIJ5wS4L0Dhs2jGexw3Ux8PHxQUxMDEaNGiVXhixlUbSPqIr6VSeqzoXkhVsuI0aMqPDYIUOGsNhvd+/exaxZs6q8XIKDg5nSuX///gpZalblu8oTL4x7DLcu1TEHu3PnDkQiEb755hvMmDEDn3/+OerWrat4gVeAOu9TFfPG4uJiPHz4kGXjq1+/PnN3k6CJmK0tWrSAqakpsrOzce7cOebC5ujoqFKmb3lQpb1UZ7mNGzcO4eHhEAqFOHv2LM+NkBtbV96+XN1twsTEBLq6uigpKUFKSkq530tLS5nyojIFoCbWHaqiDrkBVJvLq3OOW9Uo2v+XlJQwgwBu/29paSmz/+e2ufj4+HKunqq2W03LpbL1y3X5TElJKZcEgatU02TGdVloRMH25s0b9lli+i4vIpEIe/fuxYEDB3iaXEDcOamaeawiuNmZNBUbjLtjouo9cnNzsW7dOly7dq3cby1atJCawU0RuLtF165dk3qfskjS+gKAu7s7nj59ipycHLx48QKenp7Q19dHz549MWLECHz22Wcan1TUJNRVHuqUoap4XllwO8OyOx+xsbFYuXIlz+VMQp8+fao1mKmsd+nRoweCgoIQHByMhIQE9n4SRYWenh6+/PLL6n7UCuHuYr1586ac2bU0uG2ei66uLry8vDB16lSUlJRAJBKhSZMmWLhwoVqe1dzcHMbGxsjPz+fJj6r9lmT8MjEx4bkNqgtJLCEJCxYskOs8yTNWRfu3s7ODnZ0dIiMjcf/+faSkpLCd2CtXrjBze657KCDekR43bhz+/PNPlJSUICAgAAEBAWjcuDGGDh2KkSNHqi2Dk7J9hKbrV11U9VyIWy6VZRzmLoy4872qhKvYV3Se+aG8q6p92YQJE3D16lVERkYiIyMDfn5+8PPzg6OjI4YNG4YhQ4aoxVVKnffR9LwjMDAQP/30E8/6ARCPV5UFyFcVQ0ND/Pjjj1i5ciWLg3Tjxg2YmZlh4MCBGDlyJM+qR52o0l6qs9y++OILbNq0Cbm5ufj777/h6uoKLS0tlJaWMotSOzs7uctN3W1CW1sbzs7OuH37Nm7cuAFXV1cWfB4QJ3WSjJfcTcEPBVXl5kOby9ckuP2/vEkEymYZrc7+TtP07t2bxaI9ePAgC10DiF1yJe7jjRo10ugmryw0omDLzs5mn+Xx7+aye/du5nNsbm6OoUOHokGDBkhPT8f169d5Gl11wxVMTcRTAfiTH1XuIRKJ4OHhwdwHbG1t0a9fP9SpUwfx8fG4fPmy1HS+iiBxowHEdcGNPyELrjtS8+bNERAQgB07duDGjRsoLS1FUVERAgMDERgYCHt7e2zevFntu6k1FXWVh7pkqKqeVxaydu3T0tIwe/ZsZg7s7OwMJycnGBgYICwsDDdu3FBZeawJxo8fz1JYnzlzBgsWLMD79++Ztc8XX3xR5UE2FYUbp8DY2FiuDIoVZeVp3rw5mjVrxiyu6tevr1ZLBAMDA+Tn5/PkR5V+q7i4mJWBptpWSUkJi6mko6Mjt8JJsotYVe1/7NixWL9+PUQiEc6fP89ccs+cOQNAHDuubGwPAFi6dClat26NQ4cOMWXgmzdvsGfPHhw4cACLFi1S2XJM2T6iKupXXVTlXEjRctHS0oKJiQnev3/Pm+9VJcrOMz+kd1V1DmZkZITffvsNe/bswenTp9mc8OnTp3j69Cn27t2Ln3/+WWUrWHXeR5PzjqCgIPz4448QCoXQ09PD4MGDYWtri8LCQty7d48X00dTDBkyhCWrkMQUyszMxJ9//ok///wTI0eOxIoVK9S++azKuqw6y83Q0BAjRozA8ePH8fbtWzx48AA9evTA7du3mYXKV199Jff1NNEmFi5ciEePHiE/Px/Tpk3DyJEjYWVlhWfPnrEQCx06dGChFz4kVJGbD3UuX1Pg9v/W1tZyZbblet7VhP5Ok9jZ2WH06NE4c+YMi0vs7OyMvLw8XLx4EWlpadDW1sYPP/yglCelqmhEwcadBOTl5cl9Xnp6OjPFb9KkCQ4dOsSbAM2ZMwfe3t64dOmSRgqDu/Arm+5WXXCFX5V73Lx5kynXvvjiC6xbt44nQHPmzIGbm5tKcR645swzZszgBXyWFxsbG/z0009ISUnB1atXce3aNebOFRERgZUrV7Ksgp8C6igPdclQVT2vLLixZrjmuwcOHGADsqenZ7nFeHR0NKZMmVJh2vbq4LPPPoOVlRVSU1Nx7tw5uLm58VwYJkyYUN2PWCncNt+tWzf4+fmpdL0DBw4w5Rogdjc4deqUWlzzSktLmbKJKz+q9Ft6enrQ19dHUVGRQmOXIujp6cHIyAgFBQUwMjJiCit5qar2P3jwYGzevBkFBQU4e/YsZsyYgZiYGNb+y1qvcRk3bhzGjBmD+/fv459//sE///yDvLw8FBcXw9fXF7a2tnByclL62ZTtI6qiftVBVc+F9PT0YGBggMLCQrnLJT8/H0D1KSq591WkLj+kd1XHHMzIyAgLFy7ErFmzcOPGDVy/fh337t2DUChEWloavv/+e5w7d04u5V1V3UdT844tW7ZAKBTCwMAA+/bt4yVLcHV1xalTp1hWPE3SpUsX7N+/H5GRkbh27RquXLnClEXnzp2DjY0NL8aoOlC2vdSEchs/fjxL9HP69Gn06NGDWafUrl2bF5JDHtTdJpo1a4b169fD3d0d+fn5OHHiBPtNS0sLQ4cOxY8//vhBeuyoIjcf6ly+psCd127atIkXj0weqrvdVgVLly5FTEwMnj17htDQUF6SH2trayxZsqTaLEc1kuSAa3IvzSxUFiEhIWwxOnbs2HKTGT09Pak75uqCm/0kNjZWI/fg+q+rcg+JpQwgDpJdVjtrbm5eLpuLonBNKhUJnCiN+vXrY9q0aTh06BC2bt3KlJkPHz5UaxayDwVVykNdMlRVzysLbsYcbpBpiWzXqlVLqiLG1tZW7XHM1IGOjg6LI5eeno5bt26xFNKKuDBUJ02aNGGTQFXbfGRkJLPA6du3L5OZrVu38tzxleXFixdsvODKj6r9liQbZ05ODpKSklR+TmlIAp/n5uYqXBZV1f5r1aqFwYMHAxC7pT569IgpA01MTPD5559XeL62tjZ69eqFVatW4fz587wgthcuXFDp2VTpI6qiflWlOuZCknlbTk5OpQGBY2Nj2e56ZS6WmoIb1FiReeaH9K7qnIMZGxtjxIgR2LJlC/744w/WZ2ZnZ6vVkkGd91HnvCMtLY1t9nTr1k1qBnRNhtyQhp2dHb799lv8/fffvGRwqvaP0lC2vdSEcmvWrBk6deoEQJzQKDQ0FA8ePAAgzsaqrFW8umRV4gZpZmaG7du3Y/ny5Vi0aBHWr1+PCxcu8DKCf2io0s9+qHP5mgI3QY6i/X9NaLdVwc8//4xnz55h0qRJ+OWXX7B48WIsXboUe/bswd9//43PPvus2p5NI5LNDWCtSIYprimqPK5J6kaSbhYA/v33X40EObWxsWHv9urVK8TFxSl1HW5ZKZMlkruTImv3oHPnzsyN79atW2pzj+jVqxcvaHbZzECfGoqWh7pkqKqeVxqSgLUSunfvzj5nZWUBUE6u1Q23ncjTH4wZM4ZNGH755Re2ePsQgqkD4omQpB9MSUmpNHW6LAQCAVasWIGSkhI0atQIa9euZbHGCgoKsGbNGpVjb3Atv7jyo2q/xR2/JApSRZBHZrixL7gZReWhKts/N/HIqVOnmMXUkCFDFFrU1K5dGx4eHuxvVTPNqdJHqFK/8oybAN9tmuvmIS/VMRfiZqiUJJ+RBVcBUDaRDNeNhetyrgjylHPXrl1ZX/vPP/8olCldXe+qaTQ1B2vatCmmT5/O/tZExkx136eieYc88qKONsWVbXVa3ejo6GDGjBmwtrYu927yvl9lKNteqntdJmHcuHEAxGPqkiVL2PfqmlupIqv79+9HTk4OunfvDmdnZ4wZMwaTJk3CF198wTJEfqio0s9W91xeHe2mOuGOU4rOE2tKu9Ukb968YXO48ePHY8CAAZg4cSLGjRuHTp06VbvFqEYUbL1792Y7fU+fPmVB6CqDa3HFdSviogmll4TmzZuzwMEpKSk4cOCA1ONEIpFKbo3cnf8NGzbIbPhXrlyRWQ5cKwZlyoobC0pWqmpDQ0OMHTsWgNg0eO3atWorf+7uY9nsHm/fvkVoaOgn5ZtfUXlIQx0ypOnn5WZqK8v+/fuZ9U2bNm141l2SfuDt27dS4wiWlpZWWWBUedoJl3r16qFPnz4A/j+FtImJCYYMGVIlz6sOpkyZwj6vX7++XHBUedi+fTvi4uKgpaUFLy8vGBsb43//+x+6dOkCAHj8+DGOHTtW4TUeP34s0yUhJCSEKdj09fUxcuRI9puq/dZXX33FBubDhw/j/v37Cr27PDIzfvx4tnAOCAjgmbXLQ1W1fwcHB7Rq1QoAcP36dTZhrsg9VBZcOSrbZ+Tk5CAkJERuFxRV+ghV6tfY2Jhl+EpJSZEpV9wJrSSDcFlev36NGzduVPh+QNXNhSZMmMAUgwcPHsSrV6+kHvfixQscPXoUgLjtlZUFbmwsWe/++++/V/gs8rQhMzMzFtOooKAAK1askFuhp6531TSanINV1B7ViTrvI2veIU+7VHXODCg+H1CEoqIiFvKgbLZJefudyp5dmfaijnJTBwMGDGCKGolM9ejRA40bN1bbPZSVVYkl9N27d3Ho0CFcvHiR/bt27RqCg4PZ2PmhoUo/W91zeUXaTXZ2tkJzkKqgS5cuzPIsNDQUhw8flvvcmtJuNQnXA2Hr1q04e/Ysa3eXLl1CYGAgoqOjq02XoBEFm66uLpYuXcq03nv37sX8+fMRGBiIpKQkJCcn48mTJ/jzzz+xePFi1sC6dOkCY2NjAMDJkyfLLTpu3rzJ4pJoijlz5rDPu3fvhq+vL3PhKSoqwoMHDzBnzhzm/68M06ZNY3F0Hjx4gPnz5+Pp06cQCoUQCoWIjo6Gj48Pli9fLrPz6du3L/u8ZcsWXnpooVCInTt3IiQkROYztGrVilkgSOIiJScnIy4ujtfBzJ49mylLb968CRcXF1y5cgUpKSkshsmrV69w4sQJeHp6svNKSkowa9YsnDhxAgkJCew9cnJyEBAQwEyHmzVrxnO7CA0NxZgxYzBz5kze9T50lC0PWahDhjT9vKdOncK8efN47k4JCQnw9fVlSnctLS0sWrSId55EtktLS7F+/XreYJ6bm4uFCxdW2cDAtWrdtm0bIiIikJqaivj4eJnnSHZaJYwcOVKtgf01Tb9+/TBw4EAA4vqaMmUKjh07hri4OAgEAggEAiQmJuLKlSv48ccfy7nZPXjwgMUgmTp1KksZrqWlhdWrV7M+fseOHRVaX4WHh2PKlCm4cuUK65MyMzNx5MgRuLu7s0HT1dW13A6dsv0WIHaTnTFjBgBxO1i4cCHWr1+PR48e4d27d3j9+jVCQkKwf/9+bN26tdxzyyMzlpaWLJtqUVER5s6di61btyIiIgK5ubkoKipCWloagoKC8NNPP7FEGRI03f65lFUq2Nvby3QtOHHiBLy9vRESEsLiVgmFQkRGRuKnn35ix3FjYmRnZ2PChAlwc3PDxIkT5ZrgqtJHqFq/7du3ByC2zvr5558RHx+Pt2/f8qxO6tatyzKUJicn49dff2WJOIRCIa5fv44ZM2bIzMBbHXOhhg0bsvmPQCDA7NmzceHCBWaBJxAIWGxJSVbTOXPmsOyyEiTtHQD27dvHU7KlpKRg+fLlOHnyZIXPIu/8ZMGCBWwhERQUhClTprBgx6mpqXj+/DmuXLmCZcuW8dyp1fWuVYEqfdnatWuxY8cOnjt9UVERbt++zeRHV1eXZwGsDOq6jyrzjsrapampKYv7GB4ejqNHj/L6xtjYWHh5eVX4fJJ7AOJ2eefOHaSmpiIqKkqucgoPD8d3332H69ev8zJfv337Ft7e3ky2pcUMkqffqQxl2os6yk0dSMvCroz1mibahKTPy83NxbZt27Bq1Sr2b+nSpZg7dy4+//xzLFmy5IMMiaNsP1sT5vLytJusrCw2B5k8ebLGY1srwrJly5iScMuWLViyZAkePHiAzMxMFBUVISsrC2FhYfD39+cZM9WUdqtJ2rRpw+YJ//77L7y9vVm7W7lyJRYvXoyJEydixIgRlVqqawKNJDkAxC473t7e8PHxgUAgwIMHD5jPfFnCw8Ph4OAAExMTzJs3D35+fhAIBJg5cybs7e1Rr149JCQkIDo6GjY2NmqJ3yOL/v37Y/LkyWzX8tSpUzh16hQLjAyIF4ru7u7YsmWLUvewtraGl5cXli9fjpKSEoSEhGDGjBnQ0dGBlpYW63BGjhyJ58+fS9U+d+3aFf3798fNmzcRGxuLsWPHwsHBAcbGxnjx4gXev3/PAq5Lw9DQEJMnT8b+/fshFAp5gQ6PHDnCFlC1a9fG9u3b4eHhgdjYWERGRmL58uUy3y0pKQkNGzZESEgIHj9+jMePH2PDhg3Q0tKCnp4eK0NAPGAuXbqUd/6DBw/Y+9+5c0dj9VzVKFseslCHDGn6efv164fAwEDmZshtQ4C4HS1ZsoTF1pAwdepUXLp0CYmJibh69SqCg4PRtm1bCIVCPH36FKamptDW1q6SXYmxY8fixIkTyMrKwpMnT/D1118DEE8cNm7cKPWcHj16oFGjRmyH+0NxD+Xi5eWF0tJSBAYGIi0tTea7AuLkDpK4VtnZ2WzQbtmyJebOncs7tkGDBvDw8ICPjw8KCwvh5eWFffv2STXl7tKlC6+/kQQm5zJkyBB888035c5Vtt+SMHv2bOTl5eHo0aMQCoX466+/pLoT1qpVC/Pnz+e5DskrM1999RVycnLg7++P4uJiBAQEICAgQOrzFRYW8tyjNN3+uQwbNgzbtm1jk+OKrHiuXLmCp0+fMvdvPT09lJaW8tpqz549eRZ4L1++ZIuOt2/fIjY2ttJ4har2EarU7zfffMMyeJ4+fZqFwfDw8MDkyZPZcS4uLvD29gYgtpI6fvw4ywKanZ0NOzs7dOvWDVevXi133+qaC7m4uCA9PR3Hjh1DZmYmVq9ejbVr18LMzAyZmZm8xdCkSZN4LlUSBgwYgCZNmuD169dITEzE5MmTUb9+fejr6yMxMRFCoRALFizAr7/+KvM55J2fWFlZYdu2bVi0aBHevn2L+Ph4+Pj4SL1m69ateTHN1PGuVYGyfVl+fj4uXryI4uJi5o1RdgwGADc3N+aaqAzqvI8q8w552qWHhwdcXV1RXFyMTZs24Y8//kCLFi2QlZWFp0+f8sYAaXTu3BlOTk4IDQ1FWloa3N3dAYjba2BgYKVlFRgYiHv37uHevXsAUK6/BsR9++zZs5V6v8pQtr2oWm7qYuzYsUwJVr9+fYXjK2mqTYwdOxanTp2SaqUlQSgU4p9//kF0dDSOHDnyQW26Kis3NWEuL0+7iYqKYtaLiYmJiIiIQOfOnau72AGINzQ3bNiA5cuXIzc3lyWNkoa1tTXc3NzY3zWl3WoKMzMzjBkzplJvmHfv3sHLywtCoRCjRo2qsufTaHTBIUOG4NixYxg1apTUAI8GBgYYNGgQr6OZOHEiPD09mXluREQEAgMDkZqaihUrVvBiwmgKDw8PeHl58XYrJR2wra0tdu/eXW4nRVEGDhyIPXv28BYSpaWlKCkpgYWFBTw9PbF69eoKU8v6+PhgwoQJ0NXVRWFhIR49eoTbt2/D2NgY/v7+lQZBdnNzw7x583hm7wDKLXYbN26MgIAAuLu7o2nTplKvZWVlxXN7qlu3Lnr37s0WJiKRiDeIdezYEXv37i3XifXt25ft3I8YMULFmqw5KFseFaEOGdLk83755ZfYunUr22nmnm9ra4udO3dKVT6ZmJhgz549LFbS+/fvce/ePQQFBcHJyQn79++vMt96S0tL7NmzB126dOGVY0X3Ly4uZjvR3bp1k9lmajJGRkbw8/Nj6eqlBaI1NjZG//79mVs9APj6+iI1NRW6urpYs2YN23njMnr0aBZbIiwsDIcOHZL6DHZ2dvj999+ZjHGVaxYWFliyZAnWrl0rM0iuMv2WBC0tLXh4eMDf3x/Ozs5S06NbWFhg2LBh5XY7FZEZV1dX/P777xgwYIDUCbeOjg46duwoNfaTJts/FxMTE6bcMzIyYokPpNGzZ0/epK24uJhNnk1NTTFz5kz4+fnxnsne3p4Fl27dujVzSa3smVTpI1Sp3x49esDPz4+XWENa/Y4aNQrz5s1jrogCgQCxsbHIzs7GoEGD4O/vz8sIW5bqmgstWrSIl7GspKQEaWlpTAnQunVrbNq0qZzlsQR9fX1s3bqVl/EsJSUFb968gbm5OTZu3MhcjipC3vlJ69atcezYMcyaNUuqhZmWlhY6depUrr7U8a5VhTJ9WXFxMYYPH47atWuzY7hjcOPGjbF27Vq4uLio9GzqvI8q8w552qW9vT127NjByvDNmze4desWwsLC8NVXX2HlypWVPuPmzZsxYsQI3tgm73zE3t4e9vb27G9Jfw2IraaGDh2KgwcP8tysFXk/eVCmvaij3NQBN67U2LFjFX53TbSJ27dvY9KkSSgtLYWvry/279/PrIn8/f2xadMmLFiwgLm3xsfH4/Lly1VSXupEGbmpCXN5edqNg4MDzyq/JsR/5tKrVy+cPHkSEydOlBlPrUWLFhg9ejRPWVlT2q0mEAgEcHd3x7Fjx9C3b18cPnwYe/bsYe1u586d8PHx4Xn7yRuuTF1oiaoomJFQKER8fDwyMjKgq6uLunXrol69elIXYIC404uIiEBGRgbMzc3Rrl07mcdqCpFIhBcvXuD169cAxK4l0jJxqEpiYiKioqKQn58Pa2trODo6Sp3wyyIrKwvPnz+HQCCAtbW1ws8oEomQkpKCgoICWFpa8gYfaaSlpSE5ORl5eXkwNjZGgwYNeP7eXAoLC1m9FxcXw9jYGC1atKiwA8vNzcX79+/VGluhpqBMeciDqjKkruddv349swTZvHkzPvvsM4hEIkRERCAxMRHa2tpo3ry53BnwkpKSEB0dzc7jZjSqanJzc5GWlgY9PT00aNBApmLnwoULWL16NQDAz8+Plz3xQ0WS7TI7Oxt6enqwsrJCw4YN1Z4B6sqVK8w6Y+rUqcxC4PXr14iJiYFAIEDDhg3h4OCg8MRMkX6rLAKBAPHx8cjOzkatWrVQt25dWFlZVfr+8soMIF7cx8XFsSDCZmZmaNKkiVzjnqbav4Ts7Gy8e/cORkZGcrXBd+/eITExEXl5edDW1oaVlRWaN28u85mKi4uRmJgIGxsbhZ9bHX2EsvWbkZGBrKws1K5dW6YsZWRkIDg4GKmpqTAzM4ODg4NUZY8sqnMulJCQgMjISGRnZ8PU1BR2dnZyZ9IUiUR48uQJoqKiUFpaikaNGqF79+4KP7ui85O3b98iJSUFpaWlrB5r1aql0XetahTpy4RCIRISEpCSkgKBQAB9fX00atRI7e+mzvuoOk+qrF2KRCJERUUhMTERRkZGsLOzK6fIrYzi4mImZ9bW1uU2aSoiJyeH9TdCoRB16tSBra1thQp3Rd5PERRpL+ooN1Xw9vbG2bNnoauriwsXLkhVRMqDumQ1PT0do0ePRkFBARYsWFChYu7OnTtsPjNu3Di5vVVqKor2szVhLl9Ru8nOzsawYcNgbm6OM2fOVHuA/IpISEhAWloaiouLYWJigsaNG1eYpba6260m2LJlCw4fPgxTU1NcvHhRpkWoSCTC9OnTERERAUC8xlC231CUKlOwEQTx8SNNwfap4eLigrCwMNSvXx9nz56t0QN1TUOWgo0gCIIgiE+TnJwcDB06FAKBAIMHD8a6deuq+5Fw69YtZt26YcMG9O/fX+axcXFxzGNj/PjxH1WM6Y+BX3/9FQcPHsTSpUvLxVEmah5TpkzBixcvYGtri+PHj1d47NKlS3Ht2jUAwNWrV6ssq6pGXUQJgiA+JV68eIGwsDAA4lhVpFwjCIIgCIJQnrNnz7I4oBMmTKjuxwHAzzR65syZcrHcJAiFQhw5coT9zU2WQVQ/jx8/xu+//44uXbqwrM1EzUZiyR4TE8Ni7EkjJiaGxby0sbGpMuUaoMEkBwRBEJ8akuzCurq6FQaDJwiCIAiCICpGJBLhzz//BCCO3yvJjljdODk5oV27dggPD8fdu3cxZswYfPbZZ2jcuDEMDQ2Rm5uLlJQU/Pvvv0hOTgYgji37xRdfVPejExwcHBwwb948jB07VuWYtUTVMHnyZISEhEAkEsHNzQ09evRA+/btYWFhgdLSUmRmZiIsLAzBwcEszuWCBQuq9BlJwUYQBKEGcnNzWfDa/v37V5mfP0EQBEEQxMfIw4cPWSzsmpSVXUtLC1u3boWvry+uX7+OlJQUnDp1SubxAwYMwPLly1niG6JmoKenJzUbPVFz6dOnD3x9fbFhwwakp6fj/v37uH//vtRjLS0tsWjRIpasq6qgGGwEQaiNu3fv4vnz5wCAwYMHf5SJKmQRFxeH69evAxAr2ORN5ED8P69evcKNGzcAAI6OjujWrVt1PxJBEARBENVEUFAQC70xefJkGBsbV/cjlSMhIQF37tzBy5cvkZqaCoFAAAMDA9StWxetWrXCZ5999kFmlCeImkxxcTGCgoLw+PFjvHnzBjk5OQCAWrVqwcbGBh07doSzs7NCSWjUBSnYCIIgCIIgCIIgCIIgCEIFKMkBQRAEQRAEQRAEQRAEQagAKdgIgiAIgiAIgiAIgiAIQgVIwUYQBEEQBEEQBEEQBEEQKkAKNoIgCIIgCIIgCIIgCIJQAVKwEQRBEARBEARBEARBEIQKaFTBlpubC6FQWN3v+Eng6+uLbt26oVu3brhz5051P85Hx99//83Kd//+/Wq/viS18IfM1KlTWRnl5ubKdQ7JbdWiTB19CpAcEgRBEARBEAShKhpTsPn7+6Nfv36YMGHCR6E8UAc//vgjnJ2d0bNnTxQXF6v12kKhkP0TiUTV/aofHSKRiFfG6kIoFMLNzQ39+/eHp6dndb+mSpSWliosgyS3VYsydfQpQHJIEARBEARBEISq6GrqwpcvXwYAxMfHIyIiAt27d+f9vn37diQlJQEAVqxYgVq1alV3WWgcY2NjFBcXw9jYGHp6erzfIiIiEBAQAABwdnbGqFGjqvtxiSogNTUVISEhAIDr16+jpKQEuroaa5YEQRAEQRAEQRAEQWgAjVmwDRs2DADQtGlTtGvXrtzv9+7dw7Vr13Dt2jW1W3PVVMzMzHj/c3n37h0rj+fPn1f3oxJVhJWVFbp27QoA+Pzzz0m5RhAEQRAEQRAEQRAfIBpbzc+ePRuTJ0+GsbExtLUplwJQsYKN+DTR1tbGrl27kJOTg9q1a1f34xAEQRAEQRAEQRAEoQQaNZcxMTGp7verUZCCjZAFKdcIgiAIgiAIgiAI4sNFYwq27OxsFBUVAQDMzc2ho6MDAMjKykJxcTFKS0vZsRkZGSgpKQEAGBgYKKVsEAgEePr0Kd69e4eioiKYmpqiefPmaNmypdTjX7x4gWfPnrHjTUxM0KxZM3Tr1g2mpqZSz8nNzYVAIAAAmJqaQl9fH6Wlpbh37x5evnyJ/Px8WFtbo1evXmjYsGG586Up2IqLi5GVlcVLBCEQCJCWlsY7TxnXQe6zFRQUwNraGs7OzmjUqJFc5+fl5SEoKAgxMTEoKiqClZUVunfvjmbNmin8LFzevXuHe/fuITExETo6OrCxsUHPnj1hYWEh9RkKCgoAAIaGhjKVtgKBgGVFNDExgaGhIQCgsLCQla2RkRGL9RceHo7Hjx8jIyMDFhYW6Nixo1RXZkVITk7Go0ePkJCQgIKCAhgaGqJhw4bo3LlzhWWenp4OkUgEHR0dmJub837LzMxkbaNu3brQ0tJCXl4ebt68iYSEBAiFQjRr1gx9+vSRS6Gtap2+ePECwcHBeP/+PerUqQMnJyc4OjqqVG5lUURu379/z/oSSfnIgisjderUKRcHsSzSyh4ASkpKEBcXBysrK9SpU4cdr0z9y5LPsLAwhIaGIiMjA3Xq1EHnzp3h4OBQpXUUHR2NkJAQpKamwsjICC1atECPHj1gbGws8xxp71NSUoLAwEDExMQAAFq2bIm+ffvyyr+goACBgYGIj4+HSCSCra0t+vbtC319fYWfm8vr16/x8uVLZGVlQV9fH/Xq1UO7du3kaiuK9O0S8vLy8PDhQ8TGxiInJwe6urqoW7cu2rdvL7N/EQqFyMjIAADo6uqy8SE5ORm3b99GSkoKDAwM0LZtWzg7O7OxtDIyMjIQHh6O9PR0AICFhQXatGmD+vXryzynpKQEoaGhePbsGXJycmBmZgZHR0d06NChwrZFEARBEARBEIQGFWxLlixBcHAwAODUqVNsAf/DDz/gv//+4x371Vdfsc99+/bFxo0b5b5PUlIS9uzZgytXrkiN5WZjY4Ply5ezOFdhYWFYu3YtW+yVxcDAAN988w1mzpxZ7rdt27bhr7/+AgBs3rwZFhYWWL58ORISEnjH6ejoYNasWeWu0a5dO3h6esLW1pZ99+TJE7i5ufGOO3fuHM6dO8f+PnLkCNq0aaNQ+QcHB8Pb2xtv374t99vgwYPh6ekpU5EpEolw5MgR7N27lykkuPTv3x8rVqzgKRfkIS8vD5s3b8bZs2fLZeLU09PD1KlTMXfuXJ5L8atXr+Dq6gqhUAhzc3OcPHmynBJKKBRi/vz5ePLkCWrXro0TJ04wBVtgYCCWL18OAJg6dSomTJiANWvWlJNBAHBwcMCKFSt49SMPWVlZWLp0KYKDg2VmIPziiy+wbNkyqQv7oUOHQigUwsLCAlevXuX95urqivj4eADAv//+ixs3bmDDhg3Iy8vjHWdiYoJ169ahV69eGqnT169fw8fHR2q5OTo6wtvbW6Eyk4Wicvvzzz/j+vXrAICdO3eiW7duMq/t7e2Nq1evwsDAABcvXqxUfsuWvb6+PgICAnD48GFkZWXB398fXbp0Uan+y8rntGnTsHr1agQFBZW7Rr9+/eDj48NkW1N1FBYWBj8/P4SFhZX7zcjICJMnT8bMmTOlKijLvs+wYcOwePFiltBGgo2NDXbt2oUGDRrgzp078PLyQmZmJu+YRo0aYfv27WjSpIlcz83l/PnzOHDgAKs/Lnp6ehgwYADWrVsn8/zw8HCF+nYA8PX1xfnz59kmTFnatm2LtWvXllNmZ2RkYMiQIQAAOzs7HDx4ENu2bcPx48fL9ZPNmzfH5s2bYWNjI/PZQ0ND4e/vz5KnlMXBwQF+fn6wtLTkfX/37l1s2LCh3DsDQKtWrbBmzRq0bt1a4bogCIIgCIIgiE+FDzo42t27dzF58mScP3+eKdd0dHR4GUkTEhJ4llFGRkZMuWZjYwMnJye0bt0aRkZGAMQWGP7+/jh48GCF937y5Almz56NxMREtGjRgmcVUVpaCn9/f9y4cYN3jpWVFcaPHw8nJyeNlsvVq1cxb948vH37Fo0bN4aTkxPPauHKlSuYOXMm8vPzpZ6/evVqbNmyBbm5uahTpw6GDh2KYcOGoWnTpgCAmzdvYtasWcyyTB6ys7Ph6uqKM2fOQCgUonHjxhg9ejT69+8Pc3NzFBcX48CBA+WUAO3bt8e0adMAiK2Vfvrpp3LXPnr0KJ48eQJArNitV6+e1GeIjY3F9OnT8d9//8HS0hIdOnRA8+bN2e9hYWGYOXMmXr58qVB5m5qaIioqCiKRCBYWFmjfvj0cHBx4isCrV69i6dKlKtXr4cOH4eXlhZKSEtjZ2cHW1pZZNubm5mLJkiVITk5We51GR0djxowZTHGjpaUFW1tbdOjQAZaWlnj69ClmzJjBrHCURRm5HTduHPt8+vRpmddOT09n7fGLL75QWDmcn5+PBQsWYMeOHcjKyuL9pq76z8jIgKurK4KCgmBtbQ1HR0eeEiQwMBDbt2+Xeq666ujixYuYOXMmU67Vrl2b104KCgqwb98+zJ49W6qilktCQgLmzJmDtLQ02Nvbo0WLFkx5npCQgHXr1iEoKAiLFi1Cbm4u7Ozs0LJlS2ahlZiYCE9PT5lKS2kIBAIsWrQIXl5ePOWakZERUwgWFxczy0RpKNO3A+L+SSAQwMjICG3btoWTkxPP2u358+dwc3MrJz9chEIhPD09cfToUZiYmKB9+/Zo3Lgx+z02NhY//PCDzDLZt28fZs2axVOuGRgY8JSySUlJ5ayFT58+DXd3dyQkJEBXVxd9+vTB6NGjmeVjVFQUZs6ciejoaLnrgiAIgiAIgiA+Nao8ZeH69etRVFSE7777DnFxcQDEigOJW6Ys64yyhIeH48cff0RhYSEAseXb9OnT4eDgAG1tbQgEAvz333+4d+8ez020ZcuWWLp0Kfr27ctbvAoEAhw+fBj+/v4AxAuViRMnynyegwcPwtHREStXruQtPn/55RdmfXb06FEMGDCgwvdo3749zp49i6CgIKxfvx4AMHz4cMyZM4cdY2VlpVAZX7p0Cd27d4eHhwfv3R88eIDVq1cjLS0NMTEx2Lx5M7M2kXD48GFcvHgRANC5c2f4+fkxiyGhUIgDBw5g165dePXqFfz9/fH999/L9UyrV69mi7OpU6fi22+/ZQvp3NxceHl5ITAwEOfPn8eAAQPQp08fdq6bmxvu3LmDmJgY3LhxA5cvX2YWH3Fxcdi5cycAcRZOyffSuHv3Lho1agRvb284Ozszl6f4+Hh4e3vjyZMnyM3NxbJly3DixAm5XbG0tLSwZMmSci7JIpEIN27cgLe3N/Ly8nD//n08fvwYHTt2VKg+JezZswejR4/GggULeG5kP/zwA54/fw6BQIDTp09j7ty5aqvTwsJCeHp6Muui7t27Y/ny5UxxIBKJ8ODBA/zyyy94/fq1Uu8lQRm57dq1K5o2bYr4+HjcvHkTmZmZUmMcnj59milVJkyYoPCzrVu3DiEhIdDV1UW3bt3QtGlT5vaprvq/ePEiLC0tsW3bNvTs2ZNd488//4Svry97j/nz5/PcNNVVR48fP4a3tzdKSkqgq6uLhQsXYsKECUyJGxsbizVr1iAsLAzPnj3D8uXLsXXrVpnXCwwMRM+ePbFq1SrW17548QLz589HZmYmgoKCEB4eDgcHB6xbtw7W1tYaNfkqAACAAElEQVQAgJcvX2LevHnIzMzEy5cv8eTJE7k3JVatWoVbt24BELvWz5o1C1988QVTdiYkJOD69esVWmIp27dPmjQJEyZMQMeOHXl9x/Pnz+Hl5YWYmBikpaXhjz/+kGoBJ3n3V69eYfHixRg3bhxTCoaGhuL7779HTk4OoqKiEBwcXM5a8/jx49i1axcA8UbTpEmTMHbsWGYBmJmZiTt37iAnJ4dnJRwWFgZfX1+IRCJYWlpi586daNGiBfv97t27WLJkCfLz8+Hl5YXDhw/LVRcEQRAEQRAE8alR5RZslpaWaNiwIc+9yNraGg0bNkTDhg2lxuEqi1AoxLp165hy7ZtvvsHGjRvh6OjIFg6Ghobo2bMnFi9eXO78cePGlXOPMTQ0xMyZM9G9e3cA4gWVNBcpCQ4ODvD39+dZQBkZGeGHH35g7xYWFsaLNScNAwODcu9tbGzMyqNsWcnD4MGD8euvv5aLP9e9e3ds376dLZjPnTuH1NRU9ntOTg727t0LQGy5sm7dOp47nra2NlxdXZm77enTp2W6Q3EJCQnB7du3AYhd1b777jveAtTExATe3t7MSuT48eO88/X09LBmzRp2zs8//4y0tDSUlpbCy8sLRUVFsLS0rNRCqFmzZggICEDPnj158YSaNm2K7du3M7eruLg43Lx5U6EyHzRoULny1tLSwsCBAzF9+nT23cOHDxW6LpdJkyZhxYoVPAWStbU15s+fz/5++vQp7xxV6/TMmTNMEd6uXTts3bqVZ5WjpaWFHj164MCBA+XalKIoK7djxowBII4fdf78+XLXLS0tZdZt9vb2sLe3V/jZbt++jaFDh+LSpUvYtm0bFi1ahAYNGrDf1VH/pqam2LdvH1OuSa4xfvx4ZklUVFRUzsJSHXUkFArx888/MyXkypUrMWnSJF7sx+bNm8Pf358pX+7evYvAwECZ72Nvb49Nmzbx7tmmTRuMHj2a/W1hYYFff/2VKdcAoHXr1hg5ciT7u6J+mMuNGzeYZZmlpSUOHTqE//3vfzxLQhsbG7i4uPDKuCzK9u1OTk7o0qVLOcV827ZtsWzZMrlkABC7mk6cOJHX7zs5OWH8+PHs77Lt/N27d8y6UVtbG5s2bYK7uzvPvdbMzAwjRozApEmTeOdu27aNvcuqVat4yjUA6NWrF1xcXAAAkZGRCA0Nlas+CIIgCIIgCOJT44N0EX348CFbZNrZ2WHevHlqu3b79u3ZZ26igbJ88803UgNwGxsbM8uWkpKSSt2oNMGQIUNkBqRu1aoVs/IqKSnB3bt32W83b95kzztixAiZi3GJ5UZ+fj6eP39e6fNw48l9/fXXPOsJbrn16NEDgNhao6wLl52dHWbMmAFArDRau3YtAgIC2OLby8tLZnIKCb1795Z5jLGxMVxdXdnfEisYdcCVKa5iSFG4Vo1cuNY479+/5/2map1y3S49PDxkJtuoU6dOudh4iqKs3I4cOZK1xTNnzpQ7VxIoHlDOeg0AXFxcsHbtWqXeUd76HzFihMxkCNw6LuvmqY46evjwIbMwdXJywvDhw6UeZ2hoyLNwLKsM59KpUyepz8JVXDk7OzP3fFnHlI3NJouAgAD2eenSpRUmI6gITfTt3AQVFclAmzZt0K9fP6m/VdTOT548yTacJk6cKDMWY1kSExOZW3Hr1q1lKh651nqyYrsRBEEQBEEQxKdOlbuIqoM7d+6wz+PGjVMqu1lmZiYePHiAxMREaGlpoWnTpujZsyfPJVRa0gQJ0pREEuS9RnXRu3dvZukTERHBLEoePXrEjrG0tMSzZ8+kns9VfsXHx1fq8si9rqGhoczrGhgYABBb6SQnJ5cL5O3q6orbt28jMjISd+/exb179wCIlSYS5Zyq5SIhIiJC4fOLi4vx8OFDlqGzfv36cHZ25slDRbGfKkOWzFUkb6rU6fv375nSpUGDBujQoYPKZawKsuS2Tp06+Pzzz3HhwgXExcUhNDSU51J48uRJAGILsS+++EKpe0uUuxWhav0r06eoq464feqIESMqPLZHjx4wMzNDZmYmQkNDkZeXx4t7WRmSdi7vMfK0mczMTKZst7KyQt++fZUqB0D1vj0sLAxhYWHIyclhGWBbtmwJPT09FBcXVzgmVDSWVXRvrsKZa+lWGdz+oWnTpjL7B+79pCWOIAiCIAiCIAjiA1WwvXnzhn1W1N1LJBJh7969OHDgAIqKini/1alTR+EMkh8iXMUV1xrm3bt37LOsYOplqcyKQyQS8Sw2FixYINd1c3Jyyn2nq6sLLy8vTJ06FSUlJRCJRGjSpAkWLlyolnIxNzeHsbEx8vPzFQ7YHxgYiJ9++gnp6enlntnZ2Vktz6cMqtRpYmIi+07RLLaaQJbcAmJF+4ULFwCILbokCrbXr18zl7xRo0bJpdxRhuqqf3XVEbdPbdu2bYXHamlpwc7ODkFBQSgpKcHbt2+rvd9MTExkgf+VcQFWB7GxsVi5ciUiIyPL/danTx+FkjUoiqT+TExMFMq6yu0frl27hmvXrlV6jrS+mSAIgiAIgiCID1TBlp2dzT5z40nJw+7du1lMKnNzcwwdOhQNGjRAeno6rl+/ztvR/1jhKhm4lgkSFyNAHNtLlqsZF2nuXVxKSkpYfB8dHR1e3KqKkGVF0rx5czRr1oxZ7dSvX1/uxBjylk1+fr5ClodBQUH48ccfIRQKoaenh8GDB8PW1haFhYW4d+8eiz9XHahSp9yFtCQ+XnUiS24BcWy/Vq1aISoqCtevX8fixYtRu3Zt/PHHH+wYRSx7FKE6619ddaRon8q9F/fc6oJbDoqOCeogLS0Ns2fPZq6bzs7OcHJygoGBAcLCwnDjxg0IhUKN3Lu4uJjFTVRUBrj9g7m5uVyWiKq6ghMEQRAEQRDEx8oHqWDjLgLy8vLkPi89PR0HDx4EADRp0gSHDh3iLUjmzJkDb29vXLp0qbpfUaNwYxpxY5JxP2/atKnCTHvyoqenByMjIxQUFMDIyEhqjCxFOHDgAFOuAUBwcDBOnTqlFuVJaWkpW6hXFs+Ny5YtWyAUCmFgYIB9+/bBzs6O/ebq6opTp06xLJBVjSp1ylWeFhQUVMvzc5EltxLGjRsHX19fFBYW4tKlSxg1ahSL/+fs7FzO5VhdVGf9q6uOuP2gPH0q95jqUGiVhTsmVEfcywMHDjDlmqenZ7n+KDo6GlOmTKk06Y0y6OnpQV9fH0VFRQqNh4DYalvCjBkzyiVAIAiCIAiCIAhCfj7IJAfchbI0dxxZhISEsHg+Y8eOLbfbr6enVy4T4McINytfs2bN2Gdu9jh5khfIi+S6ubm5SEhIUPo6kZGRzPqwb9++zHJt69atKl1XwosXL5h8cMulItLS0pjCr1u3bjzlioTqdK9UpU65CRFiY2Or7R0kyJJbCcOGDYOxsTEAsZvo5cuXmbJF2eQGlVHd9a+uOmrcuDH7/OLFi0qPlxyjra0tt1WqJuEmNFBkTFAXQUFBAMSKPmnKfltb2wpju6nr/XNycpCUlCT3edxkEurs8wmCIAiCIAjiU6TaFGw6Ojrss6KB37kB7bkZ9CqD68pkYWFRXa9eaXlowspBglAoxNmzZ9nf3bt3Z5+5GeS4mT9VhRuDStnrCgQCrFixAiUlJWjUqBHWrl3L4rkVFBRgzZo1Ksc44lrXcculImqyTAGq1amNjQ17p1evXiEuLq7a3qMiuZVgbGzMMo1GRUVh165dAMSusdwEFuqkuutfXXXElRNJLDtZ3L9/n8XAc3R0rBHuw3Xr1kWrVq0AAMnJyUzhVVVkZWUBqD73Se6Y+Ndff8l9XufOnZnr9a1bt2qEuy9BEARBEARBfKhUm4LNzMyMfeYG6paH3r17Myu2p0+fwt/fX67zrKys2GeumyEXVbI8Vld5lIWbUa4s+/fvZ5Yubdq0gYODA/utS5cuzAInNDQUhw8fVsu7jR8/ni3iAgICEBoaqvA1tm/fjri4OGhpacHLywvGxsb43//+hy5dugAAHj9+jGPHjlV4jcePH8t0oQoJCWEKNn19fYwcOVKu5+JaENU0mQJUr9PPP/+cfd6wYYNM5e+VK1dkvr+8KCu3XLjWQ5KEA+PGjdOY9VBNqH911JGzszOzZgoODmbZWsuSm5sLPz8/9ndNcinkPouPj49CllyqIhlb3r59K9VFtbS0VKNJDr766iu2SXP48GHcv39frvMMDQ0xduxYAGK337Vr1yosrzk5OQgJCVHYPZUgCIIgCIIgPjaqTcHm6OjIPm/btg0RERFITU1FfHx8pefq6upi6dKlbNG8d+9ezJ8/H4GBgUhKSkJycjKePHmCP//8E4sXL2YLmy5dujAXspMnT5ZT9Ny8eZPFaKtqWrVqxVweJXHFkpOTERcXp/DC5dSpU5g3bx7PJTYhIQG+vr5MGamlpYVFixaVO3fZsmXQ19cHII4ttWTJEjx48ACZmZkoKipCVlYWwsLC4O/vL7di09LSkmX6LCoqwty5c7F161ZEREQgNzcXRUVFSEtLQ1BQEH766Sdcv36dd/6DBw9w4sQJAMDUqVPRsWNH9g6rV69mdbpjx44KLXjCw8MxZcoUXLlyhZVpZmYmjhw5And3dxaE3NXVVW5rJFNTU5axMjw8HEePHuUtpGNjY+Hl5aWUTKgLVep02rRpLM7XgwcPMH/+fDx9+hRCoRBCoRDR0dHw8fHB8uXLVVYgqCK3Elq3bs1Tvunq6uLLL7/UWNnWhPpXRx3p6Ohg2bJlLAmGt7c3/P39Wdw7oVCI4OBgzJgxg/XRvXr1wsCBAzX6boowfPhwpnBPTk7GlClTsHfvXkRGRjJX3jt37sDPz69SKz1F6du3LwCxIm39+vUs6QAgVkouXLhQo4rWJk2aYMaMGQDECt2FCxdi/fr1ePToEd69e4fXr18jJCQE+/fvx9atW3nnzp49m21Y3bx5Ey4uLrhy5QpSUlJQWFiIvLw8vHr1CidOnICnpyfv3OzsbEyYMAFubm6YOHEiKdkIgiAIgiCIT5pqS3IwduxYnDhxAllZWXjy5Am+/vprAOKFysaNGys9v3v37vD29oaPjw8EAgEePHiABw8eSD02PDwcDg4OMDExwbx58+Dn5weBQICZM2fC3t4e9erVQ0JCAqKjo2FjY6OWeF6KYmhoiMmTJ2P//v0QCoW8oOhHjhxRKI5Tv379EBgYiIcPHwIAC4AtQUtLC0uWLEGnTp3KnWtvb48NGzZg+fLlyM3NxT///IN//vlH6n2sra3h5uYm1zN99dVXyMnJgb+/P4qLixEQEICAgACpxxYWFmLQoEEAxAs4iYKiZcuWmDt3Lu/YBg0awMPDAz4+PigsLISXlxf27dvHc7mV0KVLF0RGRmL58uUAxFkpuVn0AGDIkCH45ptvFKo7Dw8PuLq6ori4GJs2bcIff/yBFi1aICsrC0+fPuXFh6oOVKlTa2treHl5Yfny5SgpKUFISAhmzJgBHR0daGlpMaXByJEj8fz5c5Ws2FSRWy7jx49n8doGDRqkcdfN6q5/ddVRx44dsWbNGqxZswZFRUXYu3cv9u3bBwsLC+Tn5/OSKHTq1Anr1q3T6Hspio6ODn755Rf8+OOPCAkJYf2NtI0AZ2dnDB8+XG33njp1Ki5duoTExERcvXoVwcHBaNu2LYRCIZ4+fQpTU1Noa2trLJMoIFaU5eXl4ejRoxAKhfjrr7+kuovWqlUL8+fPZ8rU2rVrY/v27fDw8EBsbCyvj5RGUlISk+mXL18iLS0NgNh6LzY2VqZ1KUEQBEEQBEF87FSbBZulpSX27NmDLl26QEtLi30vTTEiiyFDhuDYsWMYNWqU1DhABgYGGDRoELMMA4CJEyfC09OTZSGMiIhAYGAgUlNTsWLFCowePbq6igRubm6YN28ez11U0TIBgC+//BJbt25lVglcJYWtrS127txZYdbNXr164eTJk5g4caJM5USLFi0wevRohRaMrq6u+P333zFgwABenXDfs2PHjujVqxf7ztfXF6mpqdDV1cWaNWuYJRaX0aNHsxhSYWFhOHTokNT729nZ4ffff0fnzp0BgKdcs7CwwJIlS7B27VqF3Qnt7e2xY8cONG3aFADw5s0b3Lp1C2FhYfjqq6+wcuVKha6nCVSp04EDB2LPnj28hXNpaSlKSkpgYWEBT09PrF69mteOlUFVuZXAzTaqjuyylVET6l9ddTR48GAcOnQIn332GbS0tCASiZCens6Ua5aWlnB3d8fOnTtrROy1spiammLnzp1YtWqVzE2JZs2aMUs3dWFiYoI9e/awWGjv37/HvXv3EBQUBCcnJ+zfv1/hflxRtLS04OHhAX9/fzg7OzMFGhcLCwsMGzasXMbZxo0bIyAgAO7u7kyOy2JlZcVz9wfEsi9JONK6dWsWB48gCIIgCIIgPkW0RJoMDCMnubm5SEtLg56eHho0aKBUvCShUIj4+HhkZGRAV1cXdevWRb169aQqZADx4j0iIgIZGRkwNzdHu3btZB5b1YhEIqSkpKCgoACWlpaoXbu20teJiIhAYmIitLW10bx5c6WypCYkJCAtLQ3FxcUwMTFB48aNVV5cl5SUIC4ujilDzMzM0KRJE7XXwZUrV5g1xtSpU+Hu7g4AeP36NWJiYiAQCNCwYUM4ODiovAAWiUSIiopCYmIijIyMYGdnV05ZWlNQtk4TExMRFRWF/Px8WFtbw9HRUepCXtVyVFZuRSIRxowZg4SEBLRq1arSuHzqfu6aUP/qqqPMzEw8ffoU6enpMDQ0RNOmTWFnZ6fRbJjqJjMzEwkJCSgoKICZmRksLS01noggKSkJ0dHRTHYbNWpULe8uEAgQHx+P7Oxs1KpVC3Xr1oWVlZVc9ZeWlobk5GTk5eXB2NgYDRo04MUb5FJcXIzExETY2NiovS8gCIIgCIIgiA+JGqFgIwhNIUvBRnyc3L9/H99++y0Acew5SQB3giAIgiAIgiAIgtAkH44pAkEQRCX88ccfAMQue0OHDq3uxyEIgiAIgiAIgiA+EUjBRhDER0FycjLu3LkDQJxRUpJZkyAIgiAIgiAIgiA0DSnYCIL4KPjrr79YgoaqSG5AEARBEARBEARBEBIoIjHxUdOqVSu4ubkBABwdHav7cQgN0qBBA7i5ucHMzAzNmzev7schCIIgCIIgCIIgPiEoyQFBEARBEARBEARBEARBqAC5iBIEQRAEQRAEQRAEQRCECpCCjSAIgiAIgiAIgiAIgiBUgBRsBEEQBEEQBEEQBEEQBKECpGAjCIIgCIIgCIIgCIIgCBUgBRtBEARBEARBEARBEARBqAAp2AiCIAiCIAiCIAiCIAhCBUjBRhAEQRAEQRAEQRAEQRAqQAo2giAIgiAIgiAIgiAIglABUrARBEEQBEEQBEEQBEEQhAqQgo0gCIIgCIIgCIIgCIIgVIAUbARBEARBEARBEARBEAShAqRgIwiCIAiCIAiCIAiCIAgVIAUbQRAEQRAEQRAEQRAEQagAKdgIgiAIgiAIgiAIgiAIQgVIwUYQBEEQBEEQBEEQBEEQKkAKNoIgCIIgCIIgCIIgCIJQAVKwEQRBEARBEARBEARBEIQKkIKNIAiCIAiCIAiCIAiCIFSAFGwEQRAEQRAEQRAEQRAEoQKkYCMIgiAIgiAIgiAIgiAIFSAFG0EQBEEQBEEQBEEQBEGoACnYCIIgCIIgCIIgCIIgCEIFSMFGEARBEARBEARBEARBECpACjaCIAiCIAiCIAiCIAiCUAFSsBEEQRAEQRAEQRAEQRCECpCCjSAIgiAIgiAIgiAIgiBUQLe6H4CoHq5fv47MzEyYmJhgyJAh1f04BKFRTp06BQBo1KgRnJ2dq/txCIIgCIIgCIIgiI8MLZFIJFLrFSO0qvYN7BV//MTERPz2228AgLlz56J+/fpV+8w1gEmTJiEqKgo2NjY4c+ZMdT9OtfIpKV+aeV6o0vvF+Q6X+dujR4/w7NkzAMDAgQPRuHFjmcf++++/ePLkCZydndGlSxeZx0VFReHu3bsAgAkTJqBWrVoAwM7p27cvNm7cWKVloEkiIiIQEREBABg0aBDMzMyq+5E+Sj6lcr516xZSU1Ohr6+PUaNGVffjKERSUhLu3bsHAOjWrRuaNGmi8DVevHjB65fMzc0rPD41NRW3bt0CADg5OcHW1ra6i4FQI4rKA6Ecn1IfW1VoQnaLi4vx999/AwCaN2+Ozp07V/drEgRB1Dg+SQu2c+fO4fz58wCAZs2awcXFRSP3SUpKQlJSEgCgXbt2MDIyqu5XJ6Tg6+sLQKx8+dgVbDWJ9PR0/PrrrwCAkpISzJw5U+axu3fvxosXLxAVFVWhgu3MmTM4ceIEzM3NMX369Op+RYSEhAAAzM3N0bJlS7Vf//bt22yzoH379rQo0RCfUjkfOXIE//33H0xMTD44BdvLly9Zf+7t7a2Ugu3+/fusX7K3t690URofH8/u6eHhQQq2j4yK5CEpKQknTpxA+/btMWjQoOp+1A+aT6mPrSoU7cvkQSAQsP7uyy+/JAUbQRCEFD45BZtIJMLFixfZ3xcuXNCYgu3cuXNswnD8+HGaeBMEh65du7LP//33n8zjkpOT8eLFCwBAcHAw8vLymGVaWR49esSuraVVxda0UnBzcwMADBgwAL/88otC57548QI5OTnQ1dWFk5NTdb8KQRAEweHnn3/G3bt3oaWlBUdHR9SrV6+6H0kmmt7sqQgaywiCIIhPiU9OwRYaGsqsygAgNjYWz58/R9u2bav70Qjik8Lc3BytWrVCVFQUnj59ipKSEujqlu+SAgMD2efi4mLcu3cPn3/+ebnjsrKyEB0dDUDsHvahs3HjRvz333+oU6cO/vnnn+p+HIIgCIKDhYUFAMDIyKjGeyiostmjKjSWEQRBEJ8Sn1wW0QsXxDGoGjRoUO47giCqFokiTCAQIDw8XOoxkvhGEm7evCn1OK4V3MegYCMIgiBqLp6envD19cXhw4dRu3bt6n4cgiAIgiBqAJ+UBVtRURGuX78OAHB1dcXRo0fx6tUrXLlyBe7u7lKtZ6QhFAoRExODlJQUCIVCWFhYwNbWFoaGhgDEbqilpaXg5o8QCoUoKSkBAGhra0NbW5t3LADo6OhIdWur7Jji4mI8ffoUb968QX5+PgwNDdG4cWO0b9+ePRNB1ES6deuGI0eOABAryDp06MD7PScnB48fPwYA1KlTB1lZWbh79y6Ki4uhp6fHO1biHmpjY4OGDRtWeu+4uDiEh4cjNzcX1tbW6Nq1K4yNjWUen5SUhIiICGRkZEAoFMLc3Bz29vZSkzOUbf8ikYi1fwBy9zUEQRBEzcTAwIBirxEEQRAEweOTWuX9+++/yM3NhZ6eHgYOHIj3799jx44deP/+PYKCgtC7d+8Kz8/Ozsbvv/+OM2fOICsri/ebgYEB+vfvDx8fH9y5cwfff/897/fJkyezz9OnT8e3334LALh06RJWrVoFANi8eTM+++yzcvc9duwYNm3aBADw9/fnBXnfu3cvjh49iuzs7HLnmZiYYO7cufjf//6nctnJUvKFhoYiNjYWpaWlaN68OTp27MiUh1wkCgctLS3o6OhIvYesY6TdWyAQICgoCO/evYOZmRm6d++OOnXqsHOEQiH+++8/vH79GlpaWnBwcECrVq3kft+4uDiEhYUhPz8fDRo0QKdOnWTG/SpbTmFhYYiOjkZJSQkaNWqETp06yVR0SlO6AkBBQQEKCgqYC8rHSqdOnaCrq4uSkhI8evQI33zzDe/3O3fuoKSkBEZGRpg9ezY2bNiAvLw8hISElEtIwY2/VhHZ2dnw8fHBjRs3eN/XqVMH3t7e6NWrF+/7uLg4+Pj4IDQ0VOr1unTpAi8vL1hbW7Pvpk+fjsjISPb3zZs30aNHD/b33bt3YWBgIPV6QqEQQqGQp6DjKudkKeIlFBUV4eHDh0hKSoKBgQEcHBzkirmTmZmJkJAQpKWlwcTEBA4ODmjWrJlC9SmtDb9//x6PHj1CWloazMzM0LlzZ1hZWZU7V9XNBmn3joqKQkREBIRCIVq2bAlHR0fe9d69e4cnT54gPT0d9evXR7du3eRq5wBQWFiI4OBgJCUlwcjICG3btpU7zqYiZS2RB6C8YjYpKUkuZTIgthKNjo5GdnY29PX1Ua9ePTRq1Ehmf8xF3josS2lpKZ49e4a4uDgUFxejQYMG6Ny5c4XudLL6REWPqYyYmBhERERAIBCgQYMG6NatG/T19ZW6ljRCQ0Px6tUrAOJkSo6OjnIp1tXRDitDkc0CaQgEAkRFRSEjIwM6OjqwtrZG8+bNK5WlzMxMxMTEICcnh20ENmrUqMJz0tLSEBoairS0NNSuXRv29vZo3ry5zOMr6iMyMzOhp6cntY0rIw8VtU1V+kIuCQkJCA0NZRtBXbp0gYmJCYD/j0/avn17mXMFZTd7lGm7ssrnYxnLNDWeKCrjZVG1LyssLMSjR4+QkJAAfX19tGjRAu3atZNrbCAIgiDK80kp2CSZQ3v16oXatWtj6NCh2LFjBwCxm2hFCrbo6Gi4u7sjOTmZfWdubg49PT1kZGSgsLCwnNKtKkhPT0d2djasrKzQqFEjGBkZ4c2bN0hISEBubi42bNgAQ0NDfPnllyrd59GjRyyGh4eHB7p164aVK1ciKiqKd1zLli2xceNG2NjY8L4fN24cEhISYGdnh8OHD0u9x8CBA5Gbm4tOnTphz549Mu/duHFjeHl58cpbX18f3t7eGDRoEGJiYuDp6YnY2Fje9QcPHow1a9ZUuMhJTU3FunXrcOfOHd73hoaGmD59OlxdXWUu6P79919s2rQJCQkJvO9NTEwwf/58TJgwodw5EqVL3759sXHjRkRHR2P79u24e/cuZsyYgXnz5qlUbzUdIyMjODg4IDQ0FE+ePCkXh03iHtqrVy98/vnn8PPzg0gkQmBgIE/Blp2dLVf8tdzcXMyePRvR0dFo27YtzMzMEBMTg3fv3iErKwtLlizBqVOneMoyU1NTPHnyBPr6+mjcuDGsra2RnZ2Nly9forCwECEhIZg7dy6OHz8uU2mmCNu2beO1kaysLJ5ybtu2bejZs6fUc//55x/4+vri/fv3vO8HDBgAb29vqYrenJwcbNmyBefOnWOLRQldu3bF6tWreeVREXPnzmUZKG/cuIE9e/bg0KFDKCoqYsfo6upi1qxZcHV15Z2r6mYD994XL16El5dXOSVq586dsWnTJhgbG2Pnzp0ICAjgLfjMzMzg6+tbYaZaADh79iy2bt1ars93cHDAihUrZCralCnr3377jSXLOXLkCFq2bInjx4/j999/Z5tDFfVpAoEAv/76K86cOQOBQMD7zcTEBBMnTmT9a1mEQqFCdcjl9OnT2L17N9LS0njfGxgY4KuvvsKcOXPKyWNKSgqGDx8OAJg6dSrc3d3LXffFixeYMmUKAGDWrFmYM2cOFCEuLg7r1q1jlrESTE1NsWjRIoWuJY1nz57B29u73PhTv359LFq0CAMGDJB6njrbYUXvruhmQdnzf/vtN9y8eZMnDwBY5uapU6eWOy8oKAh79+6Vet9mzZph8eLFvD4OABITE7F169ZybRgA7Ozs4OHhgU6dOpX7rex8YfLkybh16xZ27dqF6Oho7NixA927d+e9k7LysGrVKly+fBlA+U0TVfpCQNzv+/j4lAuJYGJigtmzZyMmJgZ///03AHFfKEvBpsxmjzJtVxofy1imqfFEWRmXoGpfJhQKERAQgAMHDiA3N5f3W5MmTbBs2bJKx0KCIAiiPJ+Mgu39+/e4f/8+AGDo0KEAAGtrazg5OSE0NBS3bt1Cbm4u2xnkkpmZie+++w7v3r0DAIwfPx5ff/01sxwoKirCvXv32M5ez5498e+//2L//v04ePAgAOD3339nO1JlXdtU4X//+x++/PJL2NnZ8b4PDAzE0qVLUVxcjD179qisYOPy8uVL7N69GyUlJejUqRO0tbURGRmJ3NxcxMTE4IcffsDRo0c1ksXx0aNH2Lp1K+rXrw8HBwckJCQgPj4eRUVFWL16NRo2bIgFCxagsLAQXbt2RVFREcLDw1FSUoIrV66gZcuWmDFjhtRrv3v3Di4uLkhJSYGtrS2sra2RkpKCqKgoCAQC7N69G0lJSVi9enW5c0+ePMkCB9erVw99+vRBaWkpHj16hNevX+Pnn39GVlYWZs6cKfPdbt26hWXLlqGwsFDt5VaT6datG0JDQ1FQUIDIyEg4ODgA+P+EBgDQr18/WFhYoEOHDqy9enp6Mhn777//2C55RRZsjx49QpMmTXD06FG0bt0agHhHffPmzThx4gQEAgH+/vtv3qLdwsICGzduRJcuXXgupO/fv8eaNWtw584dvHnzBpcvX2btbO/evRAKhejTpw97fm9vb3auOhRxZTl37hyOHz8Oc3Nz9OjRA7m5uXj+/DlKS0tx48YNWFlZ4YcffuCdk5mZiZkzZyIuLg4A0Lt3bzRr1gxv3rzBnTt3EBwcjG+++QaHDx9G3bp1FXoeb29vnD9/Ho0bN0aTJk2QnJyMmJgYlJSUYNeuXWjevLlMZYMqCIVC/PDDD3j06BE6d+4MLS0thIeHo6CgAI8ePcJvv/0GkUiEI0eOoEmTJrCxsUFsbCzevn2LzMxMeHp64syZM1LHAkCs8AoMDISJiQm6dOkCXV1dhIWFITc3F2FhYXB1dcW+ffvKKdnUUdYCgQALFy7EgwcP5C6P5cuXM0W1mZkZ6tevj8zMTKSmppZbVKmjDoVCIVavXo1Lly4BECsRHB0dYWBggGfPniE3NxcBAQF48OABdu7cCTMzM7XLgCxevHiBuXPnMotvMzMztGvXDoWFhXj+/DlWr16tkOVIWR4+fIht27YBABwdHWFqaoro6GgkJycjJSUFP/74I1avXo2RI0fyztNkO+SiymbB1atXsWbNGjY+aWtrw9LSEqWlpUhPT8f79+95ygUJmzZtwtGjR9nf+vr6sLCwQH5+PrKzsxEXF1eurT179gwLFy5k9dSgQQO0bNkS7969w8uXLxEZGQk3NzcsXboUY8aMqfCdd+zYgQMHDlSLPEhQtB2VlpZi4cKFCAsLQ61atTBx4kRYW1vj4cOHuHbtGttk0NXVhZWVldpCgdSUtluTxjJNjSeqyriqsisSibBs2TIWNsfOzg6dO3dGeno67t+/j9evX2PBggX49ddfSclGEAShIJ+Mgu3KlSsoLS2FiYkJz1Jt6NChCA0NZfHZRo8eXe7c3377jSnXFixYABcXF97v+vr66NevH/tbR0cHxsbGPEWagYFBhfGdlEWW2Xu/fv0wZMgQnDt3DikpKUhOTlZ591vC+fPn0adPH6xYsYLtmmZlZcHDwwNPnjxBVFQUHj16pJFB+datW/j+++8xadIkZkkmmUAXFhZi1qxZaNWqFTZs2MBcL168eIHp06ejpKQEf/31l0wF2/Pnz9GmTRts3LiRp7AMCwvDkiVLkJKSgnPnzqFPnz7o378/73c/Pz8AYuXO5s2b2YS3pKQEP//8M06fPo09e/Zg0KBBUussISEBy5cvR3FxMXr06IGOHTuW29H/WOnWrRuzWHz06BFTsD18+BD5+fnQ1dVlbXbAgAHMlSIsLAzt27dn5wFA69atK5z0m5mZYffu3Ty3HF1dXcydOxcnT56ESCTC8+fPy50nUZRxMTc3h6enJ0aMGAEAePLkCVOwlV3waGtry93+58+fj9mzZ+O7775DaGgo6tSpg3PnzrHfZSnnjh8/jpkzZ2LGjBnMPSQmJgZz5sxBZmYmzpw5g2+//Zb3bGvWrEFcXBy0tLSwefNmXt8YGRmJefPmITU1FZs3b4aPj4/cdZqbm4sbN27A19eXF6Po6tWrWLZsGXteTSjY8vPzkZ6ejr/++ottgiQnJ2PatGl4//49Tp48idLSUixfvpwtXEpKSrB69WpcuXIFmZmZuHnzZjkliITbt29j7ty5mDJlCitLgUCAHTt24NixY8jLy8PKlStx7Ngx3nnqKOvNmzcjLCwMVlZWGDBgABo3blyhG090dDRTrrm6umLOnDms35S4ZXMT/qijDn/77Te2QO/RowdWr17N2lthYSF27dqFw4cP4+XLl1i6dCl27dqldhmQRmFhITw9PdmC1M3NDS4uLsz6r7CwEAEBAdi9e7fS97hz5w6++OILeHh4wNLSEoB4IXvhwgWsW7cOxcXF8PX1RY8ePXh9kKbaYVmU2SwAgMePH2PVqlUoKSmBoaEh5s6di1GjRrHA/llZWbh27Vo5t/2DBw8y5VrDhg3h7u6Ozz77jM2NEhIScP36dbRr146dk56ejkWLFiE7OxsGBgZYsWIF2xQFgIiICHh6eiIpKQk//fQTGjduLHOucfXqVYSFhcHIyAj9+vVDq1at0KJFiyqTB0C5diR5bi0tLezcuZOVz5gxY2BpaYljx47ByMgIFy5cgKmpaYX3V2SzR91t92MYyzQxnqgq4+qQ3SNHjjDlmouLCxYsWMB+y8jIgIeHB8LCwuDl5YUzZ85Q3FiCIAgF+GSyiErcQwcMGMAb1D///HM2cFy8eLHceSUlJezcZs2aYfr06dX9KnLD3b3KzMxU23U7duyIDRs28FwS6tSpw1M8SlNSqIPx48djypQpPDdNbtwuIyMjbNmyhbd4adOmDXNDSE5OlhqvDgCaNm2K3377rZw1oIODA1OgAWBB+SX4+/tDKBTCyMgIa9as4U36dHV1sWjRItSuXRtCoRBnzpyReu+YmBg0a9YMJ06cwK+//gpXV1feouNjxsHBgVl/cjOBShQD3bp1Y7u/XMVmYGAg+yxRsFWWPbRDhw5SY96YmJjA3NwcAGTKhzSsra1Zfaurjenp6cHY2Jgn48bGxuyfLIXKjBkz4Obmxou90rJlS6YALCwsZDGhAODp06e4ffs2AGDixInlXOTt7Ozw9ddfAwCuX7+OnJwchd7jl19+KRcA/IsvvmDtKyIiQi3lVRZdXV1s3bqVF5vM2tqalUNRURFcXV15VgG6urqYNm0a+/vFixcyr7906VK4urry2rmhoSEWLVrEFrFRUVF4+PCh2sv6+fPnWLBgAc6fP48ffvgBEydOrNBSWGLNAYg3k7gypauri+7du6NJkyYyz1e0Dt+9e4fff/8dANCqVSts3ryZ194MDAzg7u7Oyj44OJjXjjXJ+fPn8ebNGwBi99OZM2fyFo0GBgaYOXMmTw4UZciQIVi/fj1TrgGAlpYWRowYwRawhYWFOHXqFPtd0+2wLH369Cmn7JdsFkh48uQJ+ywSifDLL78w9/1ff/0VU6ZM4WXNrFOnDsaPH8+Lp/bu3Tvm2mxtbY3ff/8dAwYM4G082tjYwMXFhSfDe/fuRUZGBgDAy8uLp3gAAHt7e+zYsQOGhoYQCoXYvHkzL8YXl7CwMAwZMgQXLlzA2rVr8fXXXzN5rAp5kKBoO5J4W7Rt27bcPEASU7egoECueZahoSGvviWbPZJ/3PpSd9v9GMYyTYwnqsq4qrJbUFCA/fv3s7KZO3cu73cLCwssXrwYgHjOHBQUJHd5EQRBEJ+Igi02NpbFoCg7kJmamrKg5v/99x/evn3L+z0iIgJ5eXkAgEGDBmnE7VFVoqKi8Msvv8DFxQUTJ07E999/j+vXr/MG3LLxKFShf//+UidG3ADJiigpFEHaYtDY2JgpR6ytraVaMHEnR7ImV82aNZNpZdS2bVtmUfb06VPmWpWdnc3ctXr16oV69eqVO9fQ0BBOTk4A+AuXss8ncRX51NDV1WVxRkJDQ1lw4X///RcAX6nWoEEDtGnTBsD/K9hycnJYLMDKFGwVIZFpaW2lsLAQf/75J9zd3TFx4kS4uLhg06ZNSE1NZe1MnW1MGQYOHCj1e248RG67vHbtGvssy81KIvMlJSUIDw+X+1lMTExkWmBK+gmBQCDVpUxVDA0NUb9+/XLfcxf/bdu2Lfe7PH2ErHMlcDcZJO7NgPrK+vvvv4eLi4vcwae5SpCLFy8qJKPK1OHFixdZjKk5c+bIDIcwZ84c1m4kcaQ0jcQyR19fX6YVM4BKLYIqwt7eXuZv48ePZwHPNSEbqiJrsyAsLIz1r6NGjWJjWWVcvHiRuZN+++23bIyuiJKSErbR2bp1a3z++edSj2vcuDFGjRoFQKy8kKUQ79evH3x8fKTWaVXIA6BcO8rPzwcAXuImCdz5jTo3TmtS261JY5m6xxN1yLiqsvvgwQNWfl9++aXU8aRdu3asv5IVs5EgCIKQzidh83vhwgUAgKWlJTp37lzu96FDhzJrmYsXL/ICzkpcQwHInWGrKjl69Ci2bNnCFk46OjqIjo7G7du35c6Gpy64g3RVKxsqi2nF/V3ZZ+vUqROCgoIgFAoRFxcHBwcHREZGsp3FtLQ0bNmyReq5EsUtV564tGrVircY/tTo2rUr7t69i7y8PLx8+RKlpaVIS0uDlpYW+vbtyzu2f//+ePHiBeLj4xEXF4f4+HiIRCLo6uqiY8eOan+2tLQ0zJs3j7djLom79ddff5UL9l3TkKVol1g/6Ojo4OzZs1LPlSz0AHEAenXA7SdKS0urzPVEkT5CkoVQUdq1awcDAwMUFhYiJiaGfa+uslZUvjt27AgrKyukpqZi//79+Pfff/Hll1+iX79+Ml1D5UFWHYaEhAAQy1xZd0EulpaWaNu2LZ49e4bg4GCln0NehEIhwsLCAPx/bLSqRpIF8cGDBxqRDXkpLCzE+fPncfv2bSQnJ8PQ0BCOjo6YNm2a1M0CSZ0CkKkMkAZXFsr24bLgbmhKc8vn0qdPH5w8eRKA2JqqrOU5AJkB4muCPACy25FEeSPJRs7tIyXPzT1OHdTUtsulJo1lyo4nqsq4OmSXa/n45MkTJCYmSj1OYlAga95KEARBSOejV7CJRCK225OXlyc1kyN38CurYOMO4rKyR1YX4eHhLNht586d4eHhAVtbWxQXFyMwMBC//vorG8gJ1eEGxpVkD+RmuAoNDa10p4/qQzpcy7NHjx6xnfkOHTqUy47Wv39/+Pv7AxBbsUlcLbiupurEx8cHr169gq6uLhYvXowhQ4bAxMQE8fHxOHDgAHMh/9CQyG5paanMzL5cuAsUQjo6OjowMzNDSkoKz8KiuspaX18fmzdvxvfff4/U1FRER0dj48aN2LhxI5ycnODi4lJh9mxFkSzE6tWrV+kC1MbGBs+ePYNAIJCZYEhdZGVlMQshVRSLqiIZQ4qKiiAQCGBoaFilsqHMZoGym4yS8+rXry93EH7uvcpmIi8L93dFFQA1RR5kMXLkSBw/fhypqan46aef4OHhgVq1ajFvBUBs/aTOMBI1te3Kw4c0lqkq4+qQXe68VZIFt6aWF0EQxIfIR69gCwkJYbtVBQUFiI+Pr/D4+Ph4hIWFsUDr3MV9UlJSdb8OD0k8LwMDA2zcuJFNcnR0dDBkyBBkZGQwBRyhOsXFxeyzJDYId0d19OjR6NChQ4XXUGcG2Y+JVq1awczMDJmZmXj06BESEhIA8N1DJbRs2RKNGzfGmzdvcPPmTTbZ7N69u9qfKy0tDXfu3AEgjnUyfvx49lvTpk3h5eWFwMDASrMx1kQksmtmZoaFCxdWevynEhNQVSRKCm5br86ytrOzw+nTp3H+/Hn89ddfePnyJQDxhoC7uztWrFghNbmPMkg2pOTZjCprvaNJuNeX171WE3AVWBL5qErZUGazQNlNRsl5ioTV4MaZqqyeuM+iqFV6TZEHWdja2mLFihVYt24d/v77b5w9exa1atVi40zDhg2xfv16tYYsqaltVx4+pLFMVRlXh+xy563u7u5SXZG5qCtBGkEQxKfCR69gk7iHNmvWDKtXr5Z5XExMDMssdPHiRaZgs7e3h66uLkpKSnDr1i2edVtlyDP54Q6gik5UJEFObWxsqn0H8VPg9evX7LMk+C835pq1tbXMzINExWhpaaFr1664du0aHjx4wBai3Oy8XPr3749Dhw4hPDyctbOuXbuq/bkkbQyoOPZWZcgKwl2dWFlZISYmBvn5+Rg6dChlCVMDOTk5zPqSGyC8usva0NAQ48ePx/jx4/H69WscPXqUBdr/9ddfMXLkSLUoGiwtLREXF4e0tLRyrm1lkbjN6+npadxFj3v9tLQ0jd6rIiT9iYWFBSvvqpINZTcLym4ySoszKg0LCwvExcUhNTW1UlmQwLUST05OrvBYbrxc7nnyUFPkoSJKSkqgo6ODjh07Ijc3FwUFBbCzs0OfPn0wfvx4XgIAdVBT2648VHf/qgiqyrg6ZJfbhh0cHOSOq0gQBEHIR83yeVQzAoEAN27cAAAMGzYM7du3l/lv1KhRbEF09epVZhVjbGzMrGgiIiJkZoGUBjcGGtckmwtXMSbLQk6W26EkIH96enp1F3WlSJQg1R0IXlmEQiELum9mZoamTZsCECtdJG6Jkt8J5ZC4iUqUa61bt5YZY4Zr2SYSiWBkZMSU4uqE63KqzGRW0gfIav8VIWkzmlLOSeJRFhUVsUQd1Ykqmw01hVu3brH64sZ/qkll3aRJE3h6erJg4JmZmWobQyQLNYFAwMsIXJbMzEw8ffqUnSORdU3JgL6+PkuQ8/Tp02qJm5iYmMisB6tDNpTdLOBaZUti1cqDo6MjAHHMN3mzENrb2zPF0d27dys8VpI1EpAda00WNUEeKiI6Ohrr1q2Dubk5du7ciYCAAJw6dQr+/v6YPHmySso1WeOJqm23Ij61sawiVJVxdcgut73QvJUgCEL9fNQKtsDAQBY7oGz20HIFoa2NwYMHAxBPILgD3/z585kibN26ddi8eTMLCioSiZCeno5//vmH7Q5LaN26Nft87NgxtjMsEAjY93Z2dmzy8ddff/EWOrm5ufDy8mJKwrJIJhWZmZk4fvw477eEhAT8+eef1V0FDEkA/7dv30pVskVGRqKgoKBan1Gy0y6NU6dOMbfF4cOHszrT1dXFsGHDAIgVsJJ4f4TilM0AOmDAAJnHOjg4wNLSkv3duXNnjexa29raMveJY8eOlcuOu3fv3grdQ1u1agVAHJhaMvGXZNarDIlyLi8vj+eerC64O/3bt2/n9UvVgSqbDVVJ2UzTEvLy8vDbb78BEC+CuJnwalpZA+BldVRXfNGhQ4eya+3YsUNmf7p7924m08OHD2ffcxO9yJKBx48fK/Vskmzh2dnZLHB4WUpLS3lB/RVFlmwA4nqXKBgkY4akzFSRDUnW5cpQdrOgc+fOzEXsjz/+YBlFK2PYsGFsnNy6datcbvSGhoYYNGgQAHFbl7X4T0hIwF9//QVAHBeuffv2CpUZUDXyoCySbOO5ubkICQlBUlIS+yexMFOUyjZ7VG278tz7UxnLKkIdMq6q7Do4OKBFixYAxG06Li6uuouFIAjio+KjVrBJ4ok4OTnJFQyUO+mVpNEGxC6Yfn5+qF27NkQiEY4cOYIvv/wSvXv3hrOzMwYPHowlS5bg6NGjvOt17twZtra2AMS7RP3790fv3r3ZIgwQm+VLBtu4uDiMGTMGc+fOxbfffovhw4fj+vXrMpWDY8aMYUFQ/fz8MGvWLPj5+WHFihWYNGkSC8RfE7C3twcgdqE6ceIE77cHDx7g22+/rXarlYiICCxYsADR0dHsu+LiYhw7dgwbN24EIDbPnzZtGu+8WbNmscWql5cX/P39kZqayjvmzZs3+P3332usO0pNoFGjRrzU9rLcQwHxjjj3d024hwJiBercuXMBiCe8Y8aMgZeXFzZs2ICpU6fi8OHDFSr2Jk6cCEDs7jN//nz07t0bn332mVxKNomCvrS0FL///jtKS0shFArVtkCxtraGi4sLALHFhKurK4KCgngLK4FAgNu3b+PcuXMaKV8uqmw2VCUrVqzAiRMneIu4V69eYf78+WzjZfLkyTzXuuoq6+fPn0vtdyIjI3H69GkA4nbHVVarQtOmTZnMh4eHY/Hixbyg3gKBAFu2bMEff/wBQLzQ4467hoaGaNasGQDg3r17vIyJpaWlOH78ODZv3qzUs02aNIlZjvz66684evQory1FRkbCzc1NbmsraRw7dgw///wzr7wzMzOxZs0aXL9+HYDYsuuzzz5jv6siG8HBwRgwYAA+//xzREREVPhsym4W6Onpwd3dnT3HrFmz8Mcff7D5RUlJCRITE/HHH3/wYty2aNGCJZWKjY2Fi4sLbt26xSxuCgsL8fLlS+zdu5e36TZ37lymbF++fDkuX77MUyA+e/YM8+bNY5unHh4eSrk3V4U8KIskmURubi7mzp2LUaNGsX9DhgxB7969MXv2bIWerbLNHlXbbkV8amNZZagq46rKrra2Njw8PKClpYWCggLMnDkT5879H3t3HldVmfhx/HvhsoOggAqi4r6n5pKmlZmlU9ZYWTmTlU5mtu/r+KvG1FGz0rQyM7XSciobKzPLNE0tc9/FHRUUBRQEWS/c3x8MJ45cED3ARfy8Xy9f3eec55z7PIcryZdn+c60CVdeXp62b9+umTNnuvtxAcBFp+ouVGBRUlKS1q5dK0nn9Y+Apk2bat++ffr111+VlpZm/Ea9c+fOmjdvnmbOnKkff/xR6enpph+wwsPDjRCpkIeHh6ZMmaJx48Zp1apVysvLU1ZWVrF/DL788stKT0/X77//royMDGPr86ioKI0dO1abN292OTLK399f06ZN06hRo7R27Vpt2rRJmzZtko+Pj+655x4FBgZq0qRJ7v5SSJIGDhyoBQsWyOFw6M0339TXX3+tBg0aKD4+Xvv27dMNN9yg1atXu3WXzejoaMXExGjQoEEKDw9XcHCw4uPjjZF1Pj4+GjNmTLEfRsPCwvT222/rmWeeUXJysmbMmKEZM2YoODhYPj4+SktLM+5Rp04d9evXz31fiCqua9euWrBggaKiooxwuiTXXnutsY5URWxwUGjgwIFyOp167733lJqaagT3LVu21IwZMzRs2LASR2f06dNHI0eO1PTp03XixAllZWXJw8OjTNNqbrnlFs2ZM0dZWVmaNm2aZsyYIZvNpjfffFNXXnllufRt+PDhSkpK0oIFC7R79249+uij8vLyUkhIiPLy8nTq1Ck5nU7Vr1+/wtcXLPxlw5IlS4xfNrRp00Z2u11bt25VXl6e/vKXv7h9lGjTpk31xhtv6J133lFkZKSys7NNo626deumESNGVIln/eOPP2rOnDmaMmWKwsPDFRQUpNOnTxsBkM1m01NPPVWuz+fxxx/XsWPH9Msvv2jVqlXq37+/mjdvLi8vL+3du9f4/2bjxo01ceLEYqPnBg0apHHjxik3N1dDhw5Vu3btFBwcrD179uj48eO67bbbjJEd5yMyMlIvvPCCXn/9dTkcDr311lt67733FBUVpZSUFCUlJSkoKEjXX3+9lixZckF9b9Omjb788kvNnz9fkZGRstvtOnLkiPHLo4iICI0ZM6bY3/8L/Wz88MMPxv8z//vf/xb7N0hRhb8sGDdunPHLgquuukoBAQHasmWL4uLijPVmz9anTx89+eSTeuedd5Senq7x48dr/Pjx8vf3V2ZmphEOPPTQQ6Z1ap9++mmdPHlSP//8s2JjY/XMM8/IZrPJ39/f9P/6zp07G1MUIyIiNHHiRD377LNKT0/XyJEj9fbbb6t+/fpKTk42proWfnaLhpVV7fNwobp06aKOHTuWOFrT4XBo48aN2rhxo8aNG2f8krY0gwYN0ubNm41f9vj6+ionJ0crV640dg21+ne3JJfa/8vOxepnvDw+u926ddM///lPjRs3zvglwOuvv66aNWvKZrMpJSXF+F5w8803m9YUBQCUrtoGbGFhYUbAdj7OnmpZVJ06dfTSSy/phRde0OHDh3Xq1Cn5+voqLCxMYWFhLn9oDg8P15tvvqmsrCwlJSXJ29u72CLBQUFBmjJlivbu3audO3cqLy9P9evXV6dOneTh4aHWrVvr73//u8s21a1bV++9956OHTumgwcPysfHRy1atDB+OzZ48GCX133++eeV+vVo2rSpXn/9dY0ZM0bp6ek6ePCgDh48KE9PTw0aNEhPPvlkmf6RWJEaNmyoiRMnasyYMdq0aZNpFFr79u317LPPlrh2Tdu2bTVv3jx9/PHHWrRokU6ePGkaQWi329WpU6dzbst+qXvkkUd0xx13mKaKlaRz586aO3eupIKdRUtTlmk+pQU3d9xxh/76178qJiZGaWlpioiIMKZYLF++vNT7DhgwQAMGDFBiYqKysrIUHh5epjV0IiMj9e677+qNN95QTEyM8Y/d8tz1zsPDQyNHjlSvXr308ccfa8uWLcrNzTV99uvWratrr71WTqezXHetc+VCf9lQmV588UX98ccfmjVrlg4ePGgc9/f31913363777/f5ahGdzzr6OhoNWjQQIcPH1ZiYqLpvZo2barHHnvMmG5UXux2uyZMmKAFCxboo48+UkJCgmJiYkzP6Y477tCwYcNM0xYLDRw4UPHx8Zo7d67y8/ON9Z4CAwP16quvqnnz5hcUsEnSX//6V4WGhmrSpEmKjY1VVlaWMWK5W7dueumll7RkyZILDlT69u2rBx54QBMmTDCWFJAK/s5ef/31euqpp1wuyH+hn41rr71WixYtksPhMNZkLY2VXxYMHjxYHTp00IwZM4zRQYUjbKSCEVJFRyAXfhbGjRunxYsXa86cOYqJiZHT6TTCNQ8PD3Xp0qXY7tqdO3fWnDlzNHXqVC1btkzJycmmEa3t2rXTo48+aiyTcaEq+vNwIU6fPq3nn39emzZt0gMPPKDOnTubnnNaWpq2bt2q+fPny+l0asqUKWX6t1NZftlj9e9uSS7F/5edi9XPeHl8dgcMGKC2bdvqo48+0sqVK5WVlWVqQ2BgoK666iq3PysAuNjYnOW96ujOSv5G3Lrq7c6Hkp05c0br1q1TYmKiatSoofbt21fJLcAPHz6sAwcOSCr4QfR8g7G4uDglJycrPz9fwcHBql+/frEfItwh+sXvK/X9YseVbY0WlO706dNKSUlRcHCwMc2rIqSnpysuLk7p6eny9fVV3bp1y2364Pko6ZcNVUlWVpa2b9+ulJQU1axZU+3atTuvxccr81knJyfr6NGjysjIkJeXl+rVq6c6depU+DNyOp3au3evDh06pLy8PNWtW1dt2rQp0/fCEydOaOPGjUpPT1dYWJi6du1aphCprA4ePKhDhw7Jw8NDTZo0KXFDlQvt986dO5WQkCA/Pz+1bt1aISEhZb7+fD4bH3zwgT788ENNnTpV3bp1K9P9c3JyXP6yoKyysrJ0+PBhpaenq0aNGgoLCytT/1JSUhQfH6+cnBzVrFlTtWvXPufXNC0tTdu2bdPJkycVGBioli1bVsi/GSry83A+Ro0apW+//VbdunXT1KlTS6w3ZswYY5r3smXLzms3z6K/7PH19XVZx8rf3dJcav8vKwurn/Hy+Ow6HA4dOnRIqamp8vT0VFhYmCIiIqrc/3cB4GJAwAZcQgjYAKB6SEpK0p133qkGDRpo9uzZ7m4OysFtt92mw4cPq1+/fho9enSJ9QqDValgjd/yDJ8BAMCF41cTAAAAF5mpU6cqLy9Pr732mrubgnJSOM32119/LXGR+u3btxvTpFu3bk24BgBAFcIINuASwgg2AKgeCqdqFu7SiIvfzp07NXz4cGNDgYiICEVHRyswMFBnzpzR4cOHjfX9AgIC9P7775e6uQUAAKhcBGzAJYSADQCAqis2NlbTpk3TypUrlZ2dXey8j4+PevXqpREjRqh+/frubi4AACii2u4iCgAAAFxMoqOjNW7cOOXk5CguLk5JSUlKSUkxdqFv3LhxiZsTAAAA9yJgAwAAAKoQb29vNW7c+Lx3eQUAAO5T/lNEAQAAAAAAgEsIu4gCAAAAAAAAFhCwAQAAAAAAABYQsAEAAAAAAAAWELABAAAAAAAAFhCwAQAAAAAAABYQsAEAAAAAAAAWELABAAAAAAAAFhCwAQAAAAAAABYQsAEAAAAAAAAWELABAAAAAAAAFhCwAQAAAAAAABYQsAEAAAAAAAAWELABAAAAAAAAFhCwAQAAAAAAABYQsAEAAAAAAAAWELABAAAAAAAAFhCwAQAAAAAAABYQsAEAAAAAAAAWELABAAAAAAAAFhCwAQAAAAAAABYQsAEAAAAAAAAWELABAAAAAAAAFhCwAQAAAAAAABYQsAEAAAAAAAAWELABAAAAAAAAFhCwAQAAAAAAABYQsAEAAAAAAAAWELABAAAAAAAAFhCwAQAAAAAAABYQsAEAAAAAAAAWELABAAAAAAAAFhCwAQAAAAAAABYQsAEAAAAAAAAW2Cvy5rm5uUpISCh23GazydfXV6GhobLZbC6vTU9P16lTp4xyWFiY/Pz8zrsNiYmJOnTokCSpYcOGCg8PP+97xMbGKjY2VqdPn1ZgYKBq1aqlpk2bKjAwsMS+BgUFKSQkpNi94uPjlZ+fL0my2+2KiIg4r7ZkZmZqx44dSkpKksPhUGhoqCIiIhQdHX3Oa+Pj47Vp0yYlJSXJw8NDUVFR6tSpk4KDg8+rDVlZWdq+fbskqVatWmrcuPF5P9Pk5GTFxMTo1KlT8vLyUmhoqMuvT9Hn5eXlpbp167q839GjR5WXl+ey3tmfpZKUdP+8vDzt3btXsbGxysrKUmBgoOrXr6+mTZvK09PzvPsOAAAAAACqlwoN2A4cOKC77767xPP+/v7q0aOHhg8frkaNGpnOffvtt3rrrbeM8sSJE9WrV6/zbsOUKVO0aNEiSVK/fv00evToMl2Xm5ur+fPna+7cuTp27Fix815eXurdu7fGjBnjsq+DBg3Ss88+a7rm559/1osvvmiUH3vsMd13331las++ffv0wQcfaOXKlXI4HMXOR0VF6eWXX1bXrl2Lndu8ebPeeecdbd26tdg5T09PXX/99Xr00UdLDK/O9uOPP+r111+XJNWuXVsLFy6Uh0fZBkOuXLlSH330kRHQna1t27aaOHGiwsLCJEl333230tPTJUnNmjXT559/7vK6IUOG6OTJk5IKgtT58+cb587+LJXE1f0XL16sqVOnugyKQ0JCdMstt+ixxx4rMSgGAAAAAADVX4UGbOeSkZGhJUuW6Ndff9XkyZPVuXPncr1/Zmamli1bZpSXL1+ujIwM+fv7l3rd8ePH9cwzzygmJqbEOrm5ucrNzS1zW06cOKGxY8ca5c6dO+uee+4p07Xz5s3T22+/bYzQciUuLk61atUqdnz27NmaOnVqidfl5eVp8eLFWrlypcaPH69u3bqdsz3ff/+9qV8bNmxQly5dSr0mOztbY8eONV3rSnx8vMt+uMOXX36p8ePHl3g+JSVFa9euJVwDAAAAAOASV6kB25VXXqnevXsrNzdXMTExWrhwofLy8pSdna3Ro0drwYIF5fp+y5YtU1ZWllHOysrSsmXL1L9//xKvSU1N1fDhwxUfH286Xq9ePTVu3Fi5ubk6evSoDh8+XOYRdU6nU6+++qpOnz4tSapRo4ZGjRpVplFfc+fO1dtvv2065uXlpbZt2yo4OFhJSUk6cOCAMW21qI8//rhYuNayZUu1atVKWVlZWrt2rZKTkyVJZ86c0TPPPKPp06erTZs2JbYnISFBGzduNB37/vvvSw3YnE6n/vnPf2r58uWm4zVq1FDr1q3l5eWlEydOaO/evbr66qvLPBruQrVq1UqhoaHFjterV894ffr0aU2ePNn0zLt27aqgoCAlJCQoNjZWKSkpuvbaayu0rQAAAAAAoOqr1ICtWbNmGjBggFEODQ3VzJkzJRWMwDp06JAaNmxYbu/narTU999/X2rANnr0aFO4Fhoaqtdee03du3c31duzZ48iIyPL1I65c+dq3bp1RnnkyJGqXbv2Oa/bvXu3KeSRpFtuuUVPPvmkatSoYRzLzMw01pkrtGPHDlO45uPjo9dff129e/c2juXk5Oidd97RvHnzJBWMMnv11Vc1b9482e2uPxqunumyZcv04osvytfX1+U1//nPf0zhmt1u1xNPPKE77rjD9D6JiYnKzs4u0zO14v777z9nOLp27VpTOPvRRx+pdevWRtnhcGj58uVq2bJlhbcXAAAAAABUbW7dRfSyyy4zlQtHeJWHxMREU6hVaP369Tpx4oTLa3bv3q1ffvnFKPv5+Wn69OnFwjVJat68uWmTg5Ls3btX7777rlG+9dZbTSFXaT788ENjgf/Ca1955RVTuFbYzrODng8++EBOp9Mov/zyy8Xe19vbW88++6z69OljHIuNjS11GmfhenZFZWRkFBudVig7O1uzZs0yHXvttdf0t7/9rViIFx4erqioqDI9m4qWlJRkvLbb7WrWrJnpvN1uV58+fapMewEAAAAAgPu4NWA7exrm+e6oWZpFixYZAVPPnj2N406nUz/88IPLa3766SdT+b777rM0oi47O1sjR4401mpr2LChnnnmmTJdm5GRoZUrVxrlwMBAPfXUU2W6NjU1Vb///rtRjo6O1k033VRi/UcffdRUXrhwoct627dvN0bKNW7c2DSl0lXwJkkbNmwwpqFKUpcuXdSvX78LfqaVJSgoyHjtcDj0yiuvGJsoAAAAAAAAFFWpU0QdDocyMjKUm5urbdu26aOPPjLO9e3b19g5sjwUDXyGDBmi1NRUbdu2zTjnavfOs9cWsxoETZkyRfv375dUMOJpzJgxJU6jPNvWrVtNmxpcffXV59ycoWg/io5eu+qqq0qtHxUVpcaNG+vAgQOSpG3btsnhcBQbYVb0md5www3KysrS7NmzJUlr1qxRcnJysbXNyvOZZmVlGV/Ds7naWbUkhw4dcnmfxo0bKyAgQJJ0xRVXyG63G/ct3IyjX79+uuuuu9S8efML7gcAAAAAAKheKjVgmzt3rubOnVvseP/+/fXiiy+W2/vs3r3bCLbq1Kmj9u3bq2/fvkaosn//fu3evVstWrQwXXf8+HHjtb+/v6Xpfxs2bNDevXuN8iOPPHJe63UlJCSYyucT6BTthyQ1atTonNdER0cbAZvD4VBCQoKp/w6HwzTCr2/fvqaALT8/Xz/++KP+/ve/l9oWK8HUkSNHNHTo0Au+vtCUKVNcHp8xY4Y6dOggSQoLC9OTTz6piRMnGuezs7P1zTff6JtvvlGfPn305JNPqm7dupbbAwAAAAAALm5unSIqSZ6ensrPz1dKSkq53bPoGmI33HCDbDab+vTpI5vNZhx3NaUxLS3NeF2W9dVKUzRckwrWSTsf6enppvL5tKdoPyQZo7JKc/bouIyMDFN59erVxteodevWql+/vpo1a2YK7871TCXz1MuqbtCgQZowYYJCQkKKnfv55581ePDgEkfUAQAAAACAS0eljmC74oordPXVV8vpdCohIUHfffedUlNTtWjRIq1du1YzZ84s886cJcnLy9OPP/5olPv27SupYERSp06dtH79eknS4sWL9fjjj8vT09OoGxAQoMzMTEky7SB5Ifr06aN169YpNTVVkjRp0iR17txZ0dHRZbr+7FDsfNpzdhhXlmvPDvTODsKKhmeFz7Tw9bRp0yRJMTExOnDggBo3bmypLSWpUaOGrr32WpfnFi9eXOYdSLt27epyvb+zp7dKUu/evdW9e3f95z//0RdffGHaICMlJUVPPfWUvvnmmzKFmAAAAAAAoHqq1ICtZcuWuuuuu4zywIEDNWjQIGVlZSkpKUnvvvuuxowZY+k9CtcCkwo2FSg6LbNv375GwJacnKy1a9eadggNDw83do88ffq0yzXFyiosLEz//Oc/9fzzz0sqCJZGjhyp2bNnF1vbzJXw8HBT+eDBg2V+79q1a5vKsbGx57ymcHqoVDCqsFatWkY5LS1Nv/76qyTJZrPp+uuvN87dcMMNRsAmFQRxRTdNOHtdvQMHDqhp06YX9Ezr1Kmj//u//3N5buXKlWUO2O6880716tWrzO/r5+enIUOG6J577tGSJUs0adIk43OSkpKiFStW6MYbb7ygPgEAAAAAgIufW6eIRkVFqVWrVkZ5w4YNlu9ZdKTVmTNn9Oijjxp/zt4ds+hUUkm6/PLLTeUlS5ZYakvv3r3Vv39/oxwTE6P33nuvTNe2b99eHh5/fnmWL19u7EZ6Lp06dTJNhy0Mx0py8OBBHT582Ci3adNGPj4+pudQ+N5eXl4aNWqU8UwnTJhgCgx/+OEH0wYL5f1M3cnT01P9+vXT1KlTTceLPjsAAAAAAHDpcfsabEVHHVmdlnnmzBktX77cKCclJWnNmjXGny1btpjqL1++3LTWWO/evU3nP/zwQx07dsxSm5577jnTtNdPP/3UGEVXmqCgIHXp0sUoJycn69133y3Te4aEhJiu3b9/f7FwsZDT6dTkyZNNx2644QZTuWgQmZOTY3qma9asMe3gefz4cVNQ2qVLF9M00V9++eWcgV9VkZ+f7/J4dHS0KVQs686wAAAAAACgenJrwLZx40bt2rXLKF/o1MFCS5cuNQI7Hx8fhYeHF/tTs2ZNo35WVpaWLVtmlNu3b69u3boZ5dTUVP3jH//Q8uXLTWFLVlaWFi5cqJiYmHO2KSAgQKNGjTJGozmdTr3yyis6ffr0Oa8dPny4qTxnzhyNGjXKmJ5YaP/+/Zo3b57p2EMPPWQqjx49WgsWLDCNLktPT9err76qVatWGcfq1q2r2267zSjHxcUZwaTNZnP5TM+ezlo0kPPz89N9991nOv/8889rzpw5pkDV6XRqzZo1Wrp06YV/AMrRkSNHNGjQIC1evNjUzvz8fH3++eemUNHq5xYAAAAAAFzcKnUNtk2bNum9996T0+lUfHy8li1bZgp8Bg8eXOK148eP15QpU4odv/rqq/XEE09IMgc7w4YN09ChQ4vVz8rK0vXXX29sZrBo0SLTNM6RI0dqyJAhRoiVmJioZ599VsHBwYqMjFRaWpoSEhLkcDh0++2366WXXjpnvzt06KD77rtPs2bNkiSdOHFCY8eO1bhx40q9rn379ho2bJhmzJhhHPv222/13XffqWHDhvL19VVCQoJSUlJks9l03XXXGWFXu3btNHz4cE2fPl2S5HA4NHr0aE2fPl3NmjVTdna2tm/fbgqPfHx89MYbb8jb29s4VnTK7RVXXFFsemShESNGGCPzli1bphdeeMEY2XXPPfdo7dq1WrdundGWSZMm6f3331d0dLQcDoeOHj2qzMxMRUdH67rrrruQj1eZlfRZCg0NNZ7Xjz/+qAMHDmjkyJGy2+1q2LChfHx8dOzYMZ06dcq4JiIiQl27dq3Q9gIAAAAAgKqtUgO2rVu3auvWrcWO22w2PfLII6UuPJ+YmFjq8YSEBNPUxLOnORby9fXVNddco8WLF0uS1q1bpxMnThgbA9StW1fTp0/XSy+9pN27dxvXpaamGjuCFlq6dKmef/55006kJXnwwQf1+++/G6Pefv75Zy1cuNAU7rkyYsQI+fr6atq0acaoKafTWWzjAqfTqaVLl2rQoEHGseHDh8vDw0PTp083RuCdOHHCtBNmobCwMI0fP960Jp5U8u6hZyu6gcSZM2e0YsUKo77dbtfEiRM1duxY0w6v2dnZpmcsFWzIsHfvXjVr1uycz/RClfRZKjpduOjIRofDof379xer7+vrq9GjR5sCSQAAAAAAcOlx2xRRu92uunXrqn///vr00081ZMgQS/f74YcfjNdt27ZVvXr1SqxbNChyOp1G2FaoQYMG+vjjjzVy5EjTLqRFRUREaNCgQSWu0+Wqv6NHjzZtHjBhwgTFxcWd89ohQ4Zo3rx5uuWWWxQUFOTy3j179lS7du2KnRs2bJg++eQTXX311S53Lw0MDNTgwYM1b948tW/f3nRu69atRvu8vLx07bXXltjG3r17m+5fNJiTCqbKjhkzRu+++66uvPJKeXl5uWzLrbfeaprG6y4TJkzQgAEDVKNGjWLnPDw8dM0112jOnDnFnhkAAAAAALj02JxF52jCpZSUFMXFxSktLU0+Pj6KjIxU3bp13dKW/Px8HTp0SMnJyXI4HAoJCVF0dHSZFtpPT0/Xzp07lZycLC8vL9WtW1etWrUq0wi88paVlaXY2FilpKTI09NT4eHhql+/vlvaUprC6czHjx9XTk6OAgMD1aRJE/n7+7u7aQAAAAAAoIogYAMAAAAAAAAscOsuogAAAAAAAMDFjoANAAAAAAAAsICADQAAAAAAALCAgA0AAAAAAACwgIANAAAAAAAAsICADQAAAAAAALCAgA0AAAAAAACwgIANAAAAAAAAsICADQAAAAAAALCAgA0AAAAAAACwgIANAAAAAAAAsICADQAAAAAAALCAgA0AAAAAAACwgIANAAAAAAAAsICADQAAAAAAALCAgA0AAAAAAACwgIANAAAAAAAAsICADQAAAAAAALCAgA0AAAAAAACwwO7uBlQ3hw4d0sGDB41yw4YN1ahRI3c3CwAAAAAAABWkwgO2OXPmyOFwGOXevXurQYMGLutu2LBB27ZtM8oRERHq27evUY6JidHrr7+uxMRE3XbbbRoxYoQ7n51LS5Ys0bRp04zyP/7xDz388MPubhYAAAAAAAAqSIUHbNOmTVNWVpZRjo6OLjFg++233/Txxx8b5S5dupgCtlGjRmnPnj2SpBkzZqhHjx5q166d2x4eAAAAAAAAcFGtwZaamlpqGQAAAAAAAKhsF1XAdu+99xqvW7ZsqS5duri7SQAAAAAAALjEXVSbHNx1113q3r27Tp48qTZt2sjLy8vdTQIAAAAAAMAl7qIK2PLy8hQZGanIyEiX55xO558ds//ZNYfDoYSEBEVFRRW7LiUlRRs3blRiYqJ8fHzUqFEjtW3bVp6enqW2JTU1VevWrVNSUpJCQkLUuXNnhYWFufsRAQAAAAAAoJJdVAHbfffdp5iYGKP8ySefqHXr1pKk4cOHa8uWLaZzzZo106xZs/TZZ5/J09NTS5cuNc6fPHlSkydP1qJFi0zBnCRFRkbq+eefV8+ePYu1weFwaNq0acV2R/Xw8NDgwYPl7+/v7scEAAAAAACASnRRBWznIyMjQyNGjDBCt+DgYOPc4cOH9fDDDyshIcHltUePHtVTTz2l0aNHm3YxdTqdeumll/TLL78UuyY/P1+ffPKJQkJC3N11AAAAAAAAVKJKD9jmzZun5cuXuzy3a9eucnuf8ePH6+DBg8WO5+Tk6OmnnzaFax07dlTPnj114sQJff3118rNzZXT6dSYMWPUrVs3I5ybN29esXAtMDBQbdu2VXp6unbt2qWUlJTKfqQAAAAAAABwo0oP2NavX18p71MYrnl7e6tJkyaqU6eOJGnBggWKjY016vXo0UOTJk2SzWaTJLVu3VqvvvqqpIJRcAsXLtTdd9+t3NxczZo1y/Qe3bp107hx4xQYGChJiouL0/PPP689e/ZU9mMFAAAAAACAm3i4uwEVJSwsTKNHj9aKFSv06aefauLEiZKkn376yVTvnnvuMcI1Sbrhhhvk4fHnY9m0aZMkafPmzTp58qRxPCAgQGPHjjXCNUmKiopS79693d11AAAAAAAAVKJKH8HWtWtXRUREuDy3Y8cO7du3r1zeZ/To0ercubPL9yjq008/1eeff2465uHhofz8fEnS8ePHJRWfvnrllVeqRo0alf34AAAAAAAAUMVUesB25513qlevXi7PTZkypdwCNle7eZ45c0a5ubmmY6tXry71PpmZmZKkU6dOmY43aNCgsh4ZAAAAAAAAqrBqu4uoK15eXsWOhYeHl3pNrVq1JMkY0Vao6LRSAAAAAAAAXLouqYDN29tbQUFBSktLM45NnjxZzZs3P+e1QUFBpvKxY8fc3R0AAAAAAABUAdV2k4OStG/f3lT++uuvy3RdkyZNTOVVq1bpzJkzxeo5nU53dxEAAAAAAACV6JIL2G655RZT+auvvtKkSZOUlJRkHHM4HNqwYYOmTZtmHLv88stNU0xTU1P1zDPPKDEx0Ti2evVqzZs3z91dBAAAAAAAQCW6pKaISlLv3r3VvXt3/f7778axOXPmaM6cOQoMDJSvr6+Sk5ONkWh33nmnatWqpeDgYN1yyy2aP3++cd369ev1l7/8RVFRUUpPT1dKSoq7uwcAAAAAAIBKdsmNYJOkcePGqUePHsWOp6enKykpyTTNc9u2bcbrxx9/XE2bNi12XVxcnBGunT2VFAAAAAAAANXbJRmwBQQEaPLkyRo7dqzat28vT0/PYnUCAwPVv39/NWvWzHTdjBkzNGDAANnt5sF/YWFhGjt2rK6//np3dw8AAAAAAACVyOZkVX5lZGToyJEjSk9Pl91uV2hoqCIjI+XhUXL+mJ6erpiYGKWlpSksLEytW7d2GdQBAAAAAACgeiNgAwAAAAAAACy4JKeIAgAAAAAAAOWFgA0AAAAAAACwgIANAAAAAAAAsICADQAAAAAAALCAgA0AAAAAAACwgIANAAAAAAAAsICADQAAAAAAALCAgA0AAAAAAACwgIANAAAAAAAAsICADQAAAAAAALCAgA0AAAAAAACwgIANAAAAAAAAsICADQAAAAAAALCAgA0AAAAAAACwwF5hd95pc3ffLi2tne5uAQAAAAAAwCWJEWwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUVt4voBUpJs2vR6lraui9Qyal22T2digzPUbe2p9WrU4q87OyWCQAAAAAAgKrD5nQ6Kyax2mk770sWrgzVuI/rKyvH0+X5qNpZGvfoAbWMzqzUh3RRaE3wCAAAAAAA4A5VJmBbviFYz05uIsmm0OBcDbrhhBpFZikz20Nb9gZqwfIwOfJsqhHg0Bf/3qGwEIe7n13VQsAGAAAAAADgFlVmiujUL6Mk2RQWkqN5Y3YqJCjPOPeXK0+qZ/tUPflWU50+Y9fnP9bRY3fFu7vJAAAAAAAAQNXY5CA5xa7Yo76SpAHXJJnCtUI9O6QqOjJLkrRlb4C7mwwAAAAAAABIqiIBW47jz2bUrFHy1E9f77yy3A4AAAAAAACoNFUiYKtdM0chQQXB2ncrw5SVXXz9ttijPtp3xE+S1K1tmrubDAAAAAAAAEiqIgGbp6f08MCCNdViYv318ITmOhjva5zfecBfT7zVTI48DzWJytQ9Nya4u8kAAAAAAACApCq0i6jTKb37ZT3NXlhXkuTh4VSvy1Pk4eHU0nU15XTa1KN9qkY9eFDBgUwVLYZdRAEAAAAAANyiygRshdZsC9LUL+spJvbPjQzsnvka/VCs+nQ95ZaHdFEgYAMAAAAAAHCLKjFFtFB+vpSU4iWnsyCc8/AoCI0ceR7614cN9cHXEXI4rLwDAAAAAAAAUL6qzAi2xFNeGjmtkTbsCpKXPV9D+ifobzec0JrtNTT9vxGKPVawwUH7Zuma+MT+UncbvSQxgg0AAAAAAMAtqkTAluuwaci/Wmr3IX/VqpGrKc/tVYuGmabz78+P1CffF6zP1rlVmqa9tMe9T66qIWADAAAAAABwiyoxRXTu4jrafchfkvSv4bGmcE2SvOxOPX5XvG7tlShJWr8rSJt3B5z3+wAAAAAAAADlrUoEbKs215AkhQbnqvtlp0usd2OPk8brHQcI2AAAAAAAAOB+VSJgy3UUNCPfea56f0479fRkSiQAAAAAAADcr0oEbE2iCqaEnjrtpV/Wh5RYr+i5lg0z3N1sAAAAAAAAoGoEbHdclygPj4IRaf+a0VCLVtcync/JtWn2d3X05dJwSVKrRmfUvvkZdzcbAAAAAAAAqBq7iErSlz+Ha/wn9SUVXBcWkqOGEdk6k+mpI8d9dCbT83/HczX95d1qUDfbrQ+uymEXUQAAAAAAALeoMgGbJG3aHaj3vorUpt1Bxc75eOfrL92T9cgdR1WzhqPSH1SVR8AGAAAAAADgFlUqYCuUnGJXzCF/paTZ5enhVJ3QXLWKPiNfH0KkEhGwAQAAAAAAuEWVDNhwAQjYAAAAAAAA3KJKbHIAAAAAAAAAXKwI2AAAAAAAAAALCNgAAAAAAAAACwjYAAAAAAAAAAsI2AAAAAAAAAALCNgAAAAAAAAACwjYAAAAAAAAAAsI2AAAAAAAAAALCNgAAAAAAAAACwjYAAAAAAAAAAsI2AAAAAAAAAALCNgAAAAAAAAAC2xOp9NZETeOfvF7d/cNuOjFjrvJ3U0AAAAAAADnwAg2AAAAAAAAwAICNgAAAAAAAMACAjYAAAAAAADAAgI2AAAAAAAAwAICNgAAAAAAAMACu7sb4ErtIB892ae5sh35+td3O0qs1zQ8ULd0iFSbyGDV8LPrTHae9p5I05Kdx7X24El3dwMAAAAAAACXgCoXsLWsG6RZQ7sqIthXienZLgM2D5v0f/3baMiV0bLZzOd6tQjXA1c11sq9SXr0s41Kzcx1d5cAAAAAAABQjVWpgO3qZuF6b/DlCvQpvVkv39haQ3tES5K2x6fqi/VHFJ+SqbBAH/VrU1fXtqytq5qF6aP7umjgtN/c3S0AAAAAAABUY1UmYBvUtb5GD2gnu4et1Hq1g3yMcO2X3Yn6x+y1cjr/PP+fdUf00l9a6sFrmqhzdE1d0zxcK/Ykurt7AAAAAAAAqKaqxCYHD/VqonG3XSa7h03vLN2rQ8kZJdbt2qiWPP8Xwk1fsd8UrhX6cOUB43WnhjXd3T0AAAAAAABUY1UiYOvWOFS5eU49/cVmvbVkT6l1feyexuvkMzku62Tm5LkM3gAAAAAAAIDyViUCttTMXN370R/6emP8OevuOJpqvL63e0OXdW5sF2FsfrBqX5K7uwcAAAAAAIBqrEoEbC98tVW/H0guU92YhDR9s/moJGlwt4YaP/AyBft5GecHdKynUQPaSpLmrT2itQdPurt7AAAAAAAAqMaqxCYHmbl551V/5IJtCvH30jXNw3VX5/q6qV2Evt4Yr3ZRwepYP0R5+U69v3y/3vgxxt1dAwAAAAAAQDVXJQK285WW5dCQWWv1964N9Ph1zVSnhq8xXfRYapbu+egP7TuR7u5mAgAAAAAA4BJQJaaIXohAH7tC/L2Ncl5+wa4GEcG+mj20q/pfFuHuJgIAAAAAAOAScFEGbB3rh+iHJ67Wc31byCnpmS+2qOOonzTuhxilZOQqqqafpv79co0e0NbY7AAAAAAAAACoCBddwFa/lr8+HXaFomr6aX3sKf1l0q+avzFOp7McmrZiv/q8tVwr9iRKKtgE4bHezdzdZAAAAAAAAFRjF13ANnpAWwX62JWamauH5mzQqYxc0/mk9BzdP3ud9hxPkyQ9eE0T+dgvum4CAAAAAADgInFRJU92D5t6Ng2TJK3Yk6jE9GyX9Rz5Tn235ZgkKcDbU01rB7q76QAAAAAAAKimLqqAzdPDJk+PgkXVPM6xuJq3/c/zjv9tgAAAAAAAAACUt4sqYMt25OvwyQxJ0jXNw1UvxM9lPU8Pm3q3rCNJOpOTp9ikM+5uOgAAAAAAAKqpiypgk6RZqw9KkoJ87Zo1tIs61A8xnQ8L9NZbd3ZQm8gakqTP/jikbEe+u5sNAAAAAACAasru7gacr9m/xapD/Zr6a4dINa8TpAWP9NC+xHSdOJ2t8EAfNQj1NzY1+OPgSb350253NxkAAAAAAADV2EUXsDmd0hPzNum3fUka0auJGoUFqGl4oJqG/7mRQWJ6tmatOqjpvx5g/TUAAAAAAABUKJvT6ayQBCr6xe8rpQPRof5qXidIQb5eyswtWG8tJuG0yNVQHcSOu8ndTQAAAAAAAOdw0Y1gO1tscoZikzPc3QwAAAAAAABcoi66TQ4AAAAAAACAqoSADQAAAAAAALCAgA0AAAAAAACwgIANAAAAAAAAsICADQAAAAAAALCAgA0AAAAAAACwgIANAAAAAAAAsICADQAAAAAAALCAgA0AAAAAAACwgIANAAAAAAAAsICADQAAAAAAALCAgA0AAAAAAACwwOZ0Op3ubgQAAAAAAABwsWIEGwAAAAAAAGABARsAAAAAAABgAQEbAAAAAAAAYAEBGwAAAAAAAGABARsAAAAAAABgAQEbAAAAAAAAYAEBGwAAAAAAAGABARsAAAAAAABgAQEbAAAAAAAAYAEBGwAAAAAAAGABARsAAAAAAABgAQEbAAAAAAAAYAEBGwAAAAAAAGABARsAAAAAAABgAQEbAAAAAAAAYAEBGwAAAAAAAGABARsAAAAAAABgAQEbAAAAAAAAYAEBGwAAAAAAAGABARsAAAAAAABgAQEbAAAAAAAAYAEBGwAAAAAAAGABARsAAAAAAABgAQEbAAAAAAAAYAEBGwAAAAAAAGABARsAAAAAAABgAQEbAAAAAAAAYAEBGwAAAAAAAGABARsAAAAAAABgAQEbAAAAAAAAYAEBGwAAAAAAAGABARsAAAAAAABgAQEbAAAAAAAAYAEBGwAAAAAAAGABARsAAAAAAABgAQEbAAAAAAAAYAEBGwAAAAAAAGABARsAAAAAAABgAQEbAAAAAAAAYAEBGwAAAAAAAGABARsAAAAAAABgAQEbAAAAAAAAYAEBGwAAAAAAAGABARsAAAAAAABgAQEbAAAAAAAAYAEBGwAAAAAAAGABARsAAAAAAABgAQEbAAAAAAAAYAEBGwAAAAAAAGABARsAAAAAAABggd3dDbgYOJ1OrVixwih7enrqqquucnezylVqaqo2bdpklIODg9WxY0d3NwsAAAAAAKDKszmdTmdFvsGnn36qvLw8o9y9e3e1aNHCZd20tDTNnz/fKHfq1Ent2rVz9zOSw+FQt27djLKvr69WrVpV5utTUlL02muvadu2berUqZNee+01+fv7u7tbJps3b9awYcOMcvv27fXRRx+5u1kAAAAAAABVXoWPYHvvvfeUm5trlH/44QfNnTtXdnvxt05JSdHUqVON8qOPPlquAdu6deuUmJholLt27aqwsLCKfgT66KOPjEBu2bJlat26tYYMGVLh7wsAAAAAAICKV+lTRPfv36958+Zp8ODBld7Zjz/+WGvWrDHK77zzTqUEbKmpqaWWAQAAAAAAcPFyyyYH06dPV1JSkrv7XmnuvPNOY0pojRo19Ne//tXdTQIAAAAAAEA5ccsmBxkZGZo0aZJGjx7t7v5XirZt2+qbb77R/v371bx5c9WoUcPdTQIAAAAAAEA5cdsuoosXL9att96qTp06XdD1TqdTu3fv1r59+5Senq6QkBBddtllioyMdFm36EYLhfLz8+VwOAoehP3CHsWRI0e0ZcsWnTlzRhEREerSpYv8/PyKvU9QUJA6dOhgtMdmsxnn8vPzjbqenp7GOUk6fvy4goOD5evrW+yeO3fu1IEDB5SRkaGwsDB16NDhnFNec3NztX79esXFxcnb21tt2rRR06ZNL6jvAAAAAAAAqOSAzd/fXxkZGUZ5woQJJW54UJqlS5dq6tSpOnLkSLFzl19+uZ5++mm1bNnSOLZixQo9++yzxeo++eSTxut58+adV9B0+vRpjR07Vj///LPpeK1atfTvf//bFBy+8847mjNnjlF+4okndM8990iSpk2bppkzZxY7t3jxYk2bNk1xcXHF2rZkyRJNmTJFR48eNb23zWbTTTfdpOeee04BAQHF2rx48WJNnDhRKSkppuM9evTQ7bfffl5fAwAAAAAAABSo1DXYrrrqKlPwVbjhwfl4++239cILL7gM1yRp48aNGjp0qH788ccK60d+fr4eeeSRYuGaJJ08eVLPPfdcsRDrfEycOFEjR45UXFxcsXNTp07VSy+9VCxckwpGxi1cuFAPPvigsrOzTec+//xzjRw50mW7Vq9erVGjRlXY8wIAAAAAAKjOKjVgs9lseuGFF0zHzmfDg7lz52ru3LmmY40bN1avXr1Uu3Zt41hubq5effVVbdq0SVLByLmGDRsWm2ZZu3ZtNWzYUA0bNpS3t3eZ+5GTk6Ndu3YpMDBQHTt2NL23VDC6bdGiRRf0jL799tsSQ8eFCxdq9uzZRtnPz0933323Hn30UbVu3do4HhMToxkzZhjlXbt2adKkSaZ72e12XX755ercubP8/PwsBYIAAAAAAACXskrfRbRdu3a65ZZbjHLhhgfncurUKb3//vumY4888oi++OILTZw4Ud9884369etnnHM4HHrjjTfkdDrVtWtXzZ8/31gDrdDIkSM1f/58zZ8/Xw0aNDivflxzzTVatGiRPvzwQ3377bfq2bOn6fy2bdsu6PkcPHhQUkEY2ahRI3Xq1En+/v7Kzc3Vu+++a9Sz2Wx699139dRTT2nIkCGaOXOmGjZsaJz/6quvjHXnPvroI9MadHXr1tW8efM0ffp0TZs2TT/88IPp2QEAAAAAAKDsKj1gk6THHntMgYGBRnnx4sXasGFDqdcsXrxYWVlZRrlFixYaOnSoUfby8tILL7xguu+ePXu0Y8eOcm+/l5eXRo8eLX9/f0kFo8FuvvlmU50LHRFmt9uN6adffvmlPvjgA0VGRmrTpk1KTEw06nXs2FGXXXaZ6bo+ffoY5bS0NB04cEDZ2dlatWqV6T1effVVRUdHG+XAwEANHDiw3J8TAAAAAADApcAtu4jWrFlTDz30kN544w3j2IQJEzR+/PgSrzk7gLvxxhuL1QkKClLPnj21ePFi49jGjRvVtm3bcm2/p6dnsZ1Cg4ODTWVXu5aWxdChQ03BYaGdO3eaysePH9czzzxjOhYfH1+sTk5OjrFTqiSFhoaqS5cu5fo8AAAAAAAALmVuCdgkaeDAgVqwYIH27t0r6dwbHhQdvSVJUVFRLutFRkaWel1VVzgq7mynTp0ylePj44sFamcrumNrofr167u7iwAAAAAAANWK2wI2T09PvfDCCxo2bJhxbP78+SXWz8/PN5UDAgJc1vPx8Sn1uouVl5eXqezv71/iMyj6LKpL/wEAAAAAAKoqtwVsktShQwfddNNN+v777yVJTqezxLqhoaGmckJCgst6x44dM5Vr1arlzi6Wm7CwMFO5a9eumjhx4jmv27x5s6lc0nMDAAAAAADAhXHLJgdFPf7446aNCUrSvn17U/nnn38uVicrK6vYgv5Fr7PbzXmiqymUVdXZ/V+zZs05p4hKUqNGjUzlhIQEbd26tVg9RroBAAAAAABcGLcHbKGhoXrwwQfPWa9fv36mgGzVqlWaPXu2MeotKytLo0aNUlJSklEnKipKHTp0MMohISGmey5cuFA5OTlyOp1VPmBq2bKlmjVrZpSzsrL0+OOPa/Xq1aYNFRITE/XVV19p3bp1kgo2X2jdurXpXi+//LK2bdtmlA8ePKi33nrL3V0EAAAAAAC4KLl1imihO+64Q99884327dtXYp2IiAgNGTJEM2bMMI5NnTpVX375pSIiIrR//36lpaUZ52w2m5599llTKNe5c2ctXLjQKK9atUq9evWSh4eHZs+eraZNm7r7UZTIZrPpueee08MPP2zsCnro0CE98cQT8vT0VK1atZSWlqasrCxJBZtIFO4WOnjwYL388svGvRISEjR06FCFhYXJy8ur2LRaAAAAAAAAlJ3bR7BJBVM3n3/++XPWe/DBB3X77bebjh0/flybN282hWt2u10vv/yyevbsaap7ww03FAvRcnJyjFCqqrv88sv173//u9jmBnl5eUpMTDT1o+gItRtuuEE333xzsfslJSUZ4VpVDhcBAAAAAACqsioRsEkF4VG/fv1KrWOz2fTSSy9p3Lhxaty4scs6Xbt21cyZM3XrrbcWO+ft7a1p06bp5ptvLrbbqIdHlXkUpbr22mv1n//8R3fddZdq1qzpsk7Lli11xx13mI698soreuKJJ1SjRg3TcR8fH91///167rnn3N01AAAAAACAi5LNWdrWnVXcoUOHdODAAZ05c0YhISFq3bp1mXcNdTgcOnbsmJxOp2rXri1fX193d+eCxMfHKzk5Wbm5uQoICFD9+vWLjXA7u9+7du1SUlKSAgIC1LZtW/n7+7u7GwAAAAAAABetizpgAwAAAAAAANzt4pgXCQAAAAAAAFRRBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABfYKu/NOm7v7BgAAAJxba6e7WwAAAC5yjGADAAAAAAAALCBgAwAAAAAAACwgYAMAAAAAAAAsIGADAAAAAAAALCBgAwAAAAAAACyouF1EL8C3v4bq5GmvEs/b5NR9/Y+7PLdjv79++D1UMbH+Ss/0UM0ghzq2SNctVyerbmiOu7sGAAAAAACAasrmdDorZl/ynbbzvuSGRy8rNWDz8HBq7eyNpmO5DpvGf1xfC1aEu7zGxztfzw0+ogG9kiqkmwAAALjIta6Yfw4DAIBLR5UZwZadY9PJ0wXNaVY/QyFBjmJ1PD2LXzdmZgMtXBUmSWrXNF0DrklSaLBD++N89flPdZSU4qXRMxvK3zdPN3Q75e5uAgAAAAAAoJqpMgHbsSQfSQWj3l4eeljtmp455zXrdwYa4VrPDql684l9RgjXs0OqbuqZrCH/aqmEZB+N/6SBerRPVYBfvru7CgAAAAAAgGqkymxycDTJ23gdVTu7TNf8d3nBtFAPD6eeHHSk2Ai3sBCHnv57nCQpNd2uxb/Xcnc3AQAAAAAAUM1UnYAt0UeS5OeTp5o1HGW6ZvOeQElSg7rZio50Hcpd3TFFQf4F91u9Jdjd3QQAAAAAAEA1U3UCtv+NYCvr6DVJSk4tmOEaEVryNXa71KJhpiRpV6y/u7sJAAAAAACAaqbKrMF2NLEgYEvL8NRbc6Pk7ZWv6IgsdWmdpjqhuS6v8fF2ypEpnWsf1NDggutPna4y3QUAAAAAAEA1UWUSp8IpognJPvrsxzrGcZvNqWs7pei5e44ovKY5aKtfJ0sxsQHafdhfeXmudxmVJG+vgo0NHHkepdYDAAAAAAAAzleVmSLq75unvt1OauB1ierfM0kdmqfJ7umU02nTsvU1C3YDTfIyXdO7c4ok6dRpL325NNzlfdfvDNKStQWbGwT6OwjXAAAAAAAAUK5sTue5JlheoJ02y7c4mWrXG3Pqa8kfBQFZj/apmvzMPuN8eoaH7nq5jY6f9JbN5tSgG07oph4nFRLk0NFEby1aXUvfrgxTfr4k2dS4Xqa++PfOyniuAAAAuFi0rph/DgMAgEtHlQ7YJCk/X3pgTAtt2VuwY+jXE7arQd0/NzXYd8RPT77VVAnJ3sWu9fbK1939jmvWdxGSpIHXndCL9x2pkO4CAADgIkXABgAALKoya7CVxMND+us1SUbAtn5XkClga1o/U1/8e4cWLA/T79tqKDHFS0H+eWrfLF239krSz2trGnV7tk91d3cAAAAAAABQzVT5gE2S6oX/GaglnvIqdt7fN19/73dCf+93wnQ8K9tmbJgQVTtbV1522t1dAQAAAAAAQDVTZTY5KE1Wzp/N9PnfjqBl8fbn9ZWcWhDIDel/TB4XRW8BAAAAAABwMbkoIqeNMUHG6/p1sst0zS/rQzR/WcHOoq0bndFfr0l2dzcAAAAAAABQDVX5gC3+hLe++l9Q5uuTryvannua5479/vrXjIaSpAC/PI1+6KBs5bPnAgAAAAAAAGDi9oAt12HTQ+OaafHvtZSS5mkcz8m16ee1IXpgbAudySw4ft9NCQr0L32K6NodQRoxrrnSM+yye+Zr3CMHTJsiAAAAAAAAAOXJ7ZscrNlWQ+t2FvyRpCB/h3x98pWSZleu48/8r0/Xk7r/lmOl3uvLn8P15twoOfI85OeTp3GPHlB3NjYAAAAAAABABXJ7wNa8QYZuuzZRP/1RS+kZnkrLsCst48/zEWHZGtI/Qbddm1TiNM+UNE+98kEj/bY1WJIUHZmlfz98QM0aZLq7ewAAAAAAAKjmbE6n01khd955foueORzSvjg/xZ/wUUa2p/x88tQoMkuN62WxfhoAAAAqTuuK+ecwAAC4dFSZgA0AAABwCwI2AABgkds3OQAAAAAAAAAuZgRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAF9oq6cfQnC93dNwAAgAoRO+4mdzcBAAAAVQgj2AAAAAAAAAALCNgAAAAAAAAACwjYAAAAAAAAAAsI2AAAAAAAAAALCNgAAAAAAAAACypsF9Hycmfn+goN9DbKH6zYr3xnyfX7tqmrfm3rqlFYgLw8PXQsNVO/7knUl+vjlJmb5+7uAAAAAAAAoJqp0gFbl+hamjDwMtOxmasOKtuRX6xueJCPPhjcSZc3rGk63iayhvq0qqOHejXVQ3M2aPORFHd3CwAAAAAAANVIlQ7YXrm5tSQpPduhQJ+Sm+rn5am5w65Q8zpBkqRvtxzVjzsSlOPIV9dGtXTfldGKCPbVp/dfof5TVupQcoa7uwYAAAAAAIBqosquwXb75VFqVy9YsckZWrTtWKl1R/RqYoRr436I0eOfb9L3W49pyc7jGvP9Lg2e8Ydy85wK8rXr9QFt3d01AAAAAAAAVCNVMmDz8/LU8/1aSJLGfr9TuXnOUusP6lJfknTkVKZmrDxQ7Pzagyc1949DkqSrm4WrSXiAu7sIAAAAAACAaqJKBmwP9WqiOjV89fuBZP2083ipdevX8ledGr6SpBW7T8hRwg4IX22IM173alHb3V0EAAAAAABANVHlAra6NXw1/OomyndKoxfuPGf98CI7jMadyiyx3q5jp42RcO3qBbu7mwAAAAAAAKgmqlzA9uJfWsrXy0NfbjiiHUdPn7N+0R1FbbaS6+XlO3UqI0eSVKtIKAcAAAAAAABYUaUCtg71Q/TXDvV0JidPE3/cXaZrDp/MUN7/poVeFhVSat3s3DxJkq/d091dBQAAAAAAQDVRpQK2V/q3ls0mvf/LPiWmZZfpmrQsh37bnyxJ6tOqjtpE1nBZ78Frmqh+LX9JMkayAQAAAAAAAFbZ3d2AQje3j9TlDWsqPiVTH7rYCbQ0E3/crW6NQ+XladPnD3TT2z/v0YrdiXLkO9WibpDuuzJaVzYJM+ofP53l7u4CAAAAAACgmqgSAZuP3UMv9GspSRr/Q4xpXbWy2BKXoqf+s0lv3tlBNfy89OrNbaSb/zx//HSW5v5xSPd0ayhJWnPgpLu7DAAAAAAAgGqiSgRsD1zVWFE1/bTxcIq+3XL0gu6xcOsxbTx8Sndf0VBdomspyNdLJ9KytHz3CX2x7oim3t1JUsGmCKv2Jbm7ywAAAAAAAKgm3B6whQV666Frm0qSTqRl6ck+zYvVuSwq2Hj9WO9mcuQ7tTUuRctiTpjqHU3J0hsuNkdoE1lD17YIlyR9szlepzNz3d1tAAAAAAAAVBNuD9ia1g5SgHfBrp792tRVvzZ1S63/aO+CMG7uH4eLBWyueHt6aMLA9pKk3DynPlix391dBgAAAAAAQDXi9oDtxOks/WfdkVLrdIquqabhgZKkLzfEKT/fqXWxZVtH7eWbWhk7i85afVD7E8+4u8sAAAAAAACoRtwesB1IOqMX5m8ttc6YW9sZAdvI/24r8yYIg7rW15AroyVJO46e1ps/7S7TdQHIwiYAAIAASURBVAAAAAAAAEBZuT1gqygjrmmiF/9SsDNpfEqmhn+y/rx3JwUAAAAAAADOpdoFbL5eHnqlfxv9/YoGkqSDSWd078y1ik/JdHfTAAAAAAAAUA1Vq4CtdUQNTb37cjUOC5AkLd11Qk9/sVmp7BoKAAAAAACACmJzOp3Oirhx9Ivfu7tvAAAAFSJ23E3ubgIAAACqEA93NwAAAAAAAAC4mBGwAQAAAAAAABYQsAEAAAAAAAAWELABAAAAAAAAFhCwAQAAAAAAABYQsAEAAAAAAAAWELABAAAAAAAAFhCwAQAAAAAAABYQsAEAAAAAAAAWELABAAAAAAAAFhCwAQAAAAAAABYQsAEAAAAAAAAWELABAAAAAAAAFticTqfT3Y0AAAAAAAAALlaMYAMAAAAAAAAsIGADAAAAAAAALCBgAwAAAAAAACwgYAMAAAAAAAAsIGADAAAAAAAALCBgAwAAAAAAACwgYAMAAAAAAAAsIGADAAAAAAAALCBgAwAAAAAAACwgYAMAAAAAAAAsIGADAAAAAAAALCBgAwAAAAAAACwgYAMAAAAAAAAsIGADAAAAAAAALCBgAwAAAAAAACwgYAMAAAAAAAAsIGADAAAAAAAALCBgAwAAAAAAACwgYAMAAAAAAAAsIGADAAAAAAAALCBgAwAAAAAAACwgYAMAAAAAAAAsIGADAAAAAAAALCBgAwAAAAAAACwgYAMAAAAAAAAsIGADAAAAAAAALCBgAwAAAAAAACwgYAMAAAAAAAAsIGADAAAAAAAALCBgAwAAAAAAACwgYAMAAAAAAAAsIGADAAAAAAAALCBgAwAAAAAAACwgYAMAAAAAAAAsIGADAAAAAAAALCBgAwAAAAAAACwgYAMAAAAAAAAsIGADAAAAAAAALCBgAwAAAAAAACwgYAMAAAAAAAAsIGADAAAAAAAALCBgAwAAAAAAACwgYAMAAAAAAAAsIGADAAAAAAAALCBgAwAAAAAAACwgYAMAAAAAAAAsIGADAAAAAAAALCBgAwAAAAAAACwgYAMAAAAAAAAsIGADAAAAAAAALCBgAwAAAAAAACwgYAMAAAAAAAAsIGADAAAAAAAALLC7401jY2MVGxur06dPKzAwULVq1VLTpk0VGBhY6nU5OTnauHGjDh8+rPT0dAUHB6tVq1Zq1aqVbDbbebXhwIEDOnnypCSpbdu28vX1Pa/r8/LytGvXLiUkJCgjI0MhISEKDw9Xs2bNZLf/+VjT09N16tQpoxwWFiY/P79i9zu7XmhoqPz9/Y1yfHy88vPzz9muku5/6tQp7dixQydPnpSHh4fCwsLUokUL1axZs9T7HT9+XDk5OZIkm82mqKioYnUyMzN18OBBSVKTJk3k4+NTrM6RI0eM13Xq1JG3t7eSkpKUmZlpHK9Xr548PIpnvsnJycrIyDDKkZGR8vT0LLHN5fk5cWXLli3Kzc2Vl5eX2rdvX2rds/tYyGazyc/PT7Vq1SqxTSVde7agoCCFhISU+jyOHz9epvoJCQnKzc2VJNWqVUsBAQEl3tfpdGrnzp3as2ePTp06JT8/PzVu3FgdO3aUt7e3y2vO/pyXRY0aNRQcHOzyXG5urhISElw+X19fX4WGhpb4fMv6d/NcqtL3krOfR0BAgGrVqnXefQIAAAAAnB+b0+l0VsYb5ebmav78+Zo7d66OHTtW7LyXl5d69+6tMWPGFDuXkZGhTz75RJ999pkpaClUr149DRs2TDfffHOZ2uJ0OnXzzTcbP4j+85//1K233lqma0+dOqVZs2bp22+/VXp6erHzwcHBGjp0qAYPHixJ+uyzz/TWW28Z5ydOnKhevXoVu+6rr77SuHHjjPKYMWPUt29fo9yrVy+X73e2s+9/8uRJvfHGG1q6dGmxgM5ms6lDhw564okn1LZtW5f3e/XVV/X9998b5cWLFyssLMxU5+uvv9bYsWMlSePGjVOfPn1M52NjYzVw4ECj/PPPPyskJETPPPOMVqxYYRz/5ZdfFBQUVKwNL730kpYsWVJqG6Ty/5y4EhcXpwEDBpj63qBBgxLrn93Hs4WEhOj666/Xgw8+WCz0Ote1hQYNGqRnn322xPPbtm3T0KFDTc/hiy++cBmE/u1vf9PevXslFXztXT0rp9Op77//XtOmTXMZbgUGBuquu+7S0KFDi4VNZ3/Oy+KBBx7Qgw8+6PLc7t27dffdd5d4rb+/v3r06KHhw4erUaNGpnNl/btZmqr2vWT8+PH68ssvJUkeHh768MMPzxkCAwAAAACsq5QposePH9fQoUM1ceJEl+GaVBDAFY6cKSouLk733XefZsyY4TI0kQpGd/3rX//Ss88+q6ysrHO2Z8OGDaZgoGiAVJqNGzfqjjvu0GeffVZi2JWamiovL6/KeKznlJaWpmHDhmnJkiUuR785nU5t2rSp1BFFXbp0MZU3b95crM7KlSuN17/++mux80WvadGiRamjrS5URXxOXDn7s7Jo0SJL7U5JSdGXX36pu+++22VYVRHi4+P18ccfX9C1WVlZeuGFF/Taa6+V2N709HR99NFHGjx4sI4ePVopfSpJRkaGlixZosGDB2v9+vXlfv+q9L1k9erVRrgmScOGDSNcAwAAAIBKUuFTRFNTUzV8+HDFx8ebjterV0+NGzdWbm6ujh49qsOHDxcbjXHq1CmNGDGi2JSnbt26KSQkRLGxsdq4caMKB+EtX75cr776qsaPH19qm84ORTZv3qyjR48qMjKyxGu2b9+uRx55pFgI2KJFC0VEROj06dM6dOiQkpOTdc0111ToMw0ICFDHjh1dngsNDTVef/zxxzp8+LBRbtiwoVq1aqX09HQlJCRo//798vX1VdeuXUt8r7PPbdmyxTRCLTs7W+vWrTPKq1evVl5enmkKZ9GA7ezArjxU1OfElR9++MFUXrRokR588MEyTz3t0aOH7Ha7zpw5o127dunMmTOSCkLo0aNHa+rUqSVe261bN9OUwUJNmjQ5737Mnj1bN910k+rVq1fma/Lz8/Xiiy9q1apVxjFPT0917txZUVFRSk5O1po1a4zwMjY2Vg8//LA+/fRTY2RiRESEevbsabrvxo0bjVDUbrerW7dupvMNGzYscxuvvPJK9e7dW7m5uYqJidHChQuVl5en7OxsjR49WgsWLDjvZ1WaqvK95NSpU/rXv/5llC+77DLdf//95dpXAAAAAEDJKjxgGz16tClcCw0N1Wuvvabu3bub6u3Zs6fYD6WjRo0yhSZXXnmlXn/9ddN6TLt27dLTTz+txMRESdLSpUu1cOFC9e/f32V7srKytHTp0mLHFy1apGHDhpV4zfPPP2/6gbhdu3Z69dVXFR0dbRzLz8/X1q1bVbdu3Qp9ppGRkZo0adI56xUdTXbVVVfprbfeMgVB8fHx2rZtm8upgoVq166tBg0aGEHdli1bTOfXrVtnGg2WmpqqrVu3mgLAig7YKuJz4srmzZsVFxdnOnb06FFt2bJFHTp0KNM9Ro8ebYRNp06d0v3332882zVr1igpKcnl9FdJ+ve//+1yCu2FyMnJ0Ztvvmmacngun332mSlcq1evnt566y1TwJeUlKSXX35ZGzdulFQwsvCtt97Sq6++KqkgYOzRo4fpvnfeeacOHDggqSAYLctnuyTNmjUzTeENDQ3VzJkzjbYcOnTovAK70lSl7yWvv/66sQ5cYGCgRo8eXeo6hQAAAACA8lWhU0R3796tX375xSj7+flp+vTpxcI1SWrevLlpk4Pt27ebph5GR0dr4sSJxRY7b9WqlSZPnmwa2TN9+nTl5eW5bNOKFSuMUUNFlTbV77///a9OnDhhlJs1a6b333/f9AOxVLDmUVmDlspQGCZJUsuWLYuNsqpXr5769et3zvsUHcW2e/duU6Dmakpo0WPJyclGKOXp6VniyLsLVVGfE1dK+oyUdVrg2WrWrGlam06SsVlEZfj1119NgVlpMjMzNXv2bKPs7e2td955p9joubCwME2ePNk0Mm7hwoWmkZSV6bLLLjOVT58+XW73rirfS+bPn2/6O/fiiy+WOoIOAAAAAFD+KjRg++mnn0zl++67r8yjRxYvXmwqP/DAAyXuTNi8eXPThgBHjx7Vpk2bXNYtGoZcddVVxuvDhw9r+/btLq/58ccfTeUXXnjhvHcKdIcaNWoYr+fNm6fly5df0H2KjjrLy8szPSdXAU3RwKvo6LU2bdqYdkYtDxX1OTlbTk6OsdGCh4eHaRTWkiVLjJ1Wz9fZO+eWxy6npbHb7aYwZ+LEiWVq+x9//KGUlBSj3L9//xL/Lvv5+ZmmJzqdTstr1V2os6emR0RElNu9q8L3kkOHDuntt982yjfeeGOZQnMAAAAAQPmq0ICtcJpYofP5wa/oguQ2m63Yuk1nK/oDrqv3lgpGU/3xxx+SCkKAkSNHmsIYVyFAVlaWdu3aZZTr1KljaZTaoUOHtG3btmJ/zmcx+KysLJf3OHv0U9EQKC0tTc8++6wGDRqk+fPnn9ci/507dzYFP4WhWUxMjDEap1OnTsb52NhYHTlyxFRXUqlrvUnSzp07XfYrNTW1xGsq4nPiysqVK5WWlmb09W9/+5txLj093RQqno+zA76zRzKd6/mUFOSUxGaz6YUXXjDKcXFx+uSTT8553dkbBFx99dWl1j/7fFmDTKscDocyMjKUmpqqVatW6aOPPjLO9e3bt8Tpt+erKnwvcTgcGjlypPF3OTIyUs8//3yFPl8AAAAAgGsVugbb8ePHjdf+/v6Kioq6oGvr1KmjgICAUuufHUwUBjxF/fjjj8aUwF69eik0NFRXXnmlMbLrp59+0tNPP22aRpiUlGSaRtisWTNLz2TKlCmWn+uRI0c0dOjQYse7dOmi999/3ygPHz5ca9asMU3P27dvn/79739rxowZeuihh3TLLbec8/2Cg4PVokULxcTESPpzHbaio9fuuecenTx50gj5fv31V919992mgK1z586lvs8jjzxy3s+iIj4nrhQNTPr27asuXbqoZs2axg6sixYt0nXXXXfO+yQmJiojI0Pp6en65ZdftHDhQuPctddeW2oA5Or5eHh4aO3atef1zLp06aI+ffro559/liTNmjVLN954Y6nTCs/eMbRRo0alvkdISIiCg4ONcLSsz9mquXPnau7cucWO9+/fXy+++GK5vU9V+F4yc+ZM7dmzR1LB9OvRo0cXGxEJAAAAAKgcFTqCrXDEj6Tz/sEvPT3deH2u0ERSsamHmZmZxeoUndJVOFWw6JTBlJQU/fbbbyX2QVK5LTJfGUJCQvTxxx+rd+/exc4lJiZq1KhReu2118q0DlnRaaLbtm1Tfn6+se6Tn5+funbtatoFduXKlcrMzDQCAB8fn2LrYZWHivicnC0lJUWrV6+WVDDFsnfv3vL09DQFaqtXrzZNoSzJnXfeqZtuukl33XWXpk2bZuxs2qBBg0odffTUU08ZUxOzs7P15ptvllq/6HOWyvas/fz8jNeFu4S6g6enp/Lz88v09SmrqvC9pPDvllQwMvFimLYOAAAAANVVhY5gCwgIMAKM85mSWHht4Q/1Zbn27ADg7EBv//792r17t6SCEVndunWTVDBl0M/Pz2jnokWLTNPbzg4SzrcfZ+vatavLdaBiY2OL7dBZkho1aujaa68tdtzVqKKgoCBNmDBB27Zt06xZs7Ry5Uoj1JEKFqCPjo7WkCFDztnuTz/91HjW69at086dOyUVTEX19vZWr169NGvWLEkFUwJ/++03I7xr3759iWujFbrxxhvl5eVV7Pj69euLraVVqLw/J6789NNPcjgckgp2KC1c265v37766quvJBVM11uyZInuuOOOMnwFzQYOHKgRI0YoJCTkvJ+Ph8eFZeR16tTRsGHDNHXqVEkFC/YXhoiunP2czvdZV1YwfcUVV+jqq6+W0+lUQkKCvvvuO6WmpmrRokVau3atZs6caXkDgKryveT222/X/PnzJRV8/v75z39qzpw5pe4KDAAAAACoGBUasIWHhyspKUlSwe59ycnJCg0NLdO1derUMX5AT0hIUFZWVqkjNA4cOGAq165d21QuOuLkuuuuM6Zu+fr66pprrjEWy//111+Vnp5uBApnt9fqLo933nmnaaRXoa+++qrMAVudOnX0f//3f+f1vu3atdNbb72l+Ph4ffDBB6YpjwsWLDhnwNaxY0fZ7XYjaHr33XeNc4VhX+vWrVW7dm2dOHFCeXl5+uCDD4w651p/TZKee+45l0HMSy+9VGLAVt6fE1dcjVaSpA4dOhj9Lax3roBt7Nix+umnn0wbTrRt2/ac4Vppz+dC3X333fruu+906NAhSdIbb7xhmtJY2nOKjY1V3bp1S7x3UlKSKWAry3MuDy1bttRdd91llAcOHKhBgwYpKytLSUlJevfddzVmzBhL71FVvpd0795ddrtd//nPf4z7TZ48mXXYAAAAAMANKnSK6OWXX24qF+7CWBZF1+vKy8srdXSNpGI7ZBZ97/z8fNNuk1u2bNGjjz5q/ClcW0wq2C2ycG0qqWDUScuWLY1ybGys9u7dW5GPrULVq1dPo0aNMo2Ai4uLU35+fqnX+fr6ql27dka5cPSa3W43NlOw2Wy65pprjDpFw6xzrb92ocrzc+LKoUOHtGPHDqP81VdfGZ+bxx57zAgcJWn79u3nXGuse/fuxXaOnDp1apmmqpY3Ly8vPffcc0Y5Li5OsbGxLuue/fUrnB5ckvN9zhUlKipKrVq1MsobNmywdL+q9r3kscceM41c/eKLL875dwAAAAAAUP4qNGA7e+2vDz/8UMeOHSvTtddff72p/P7775c4pWr79u1atmyZUQ4LCzP9QL9u3TpjlJFUMMVrzZo1xp+zQ4WiI1Rc9WPcuHHKycmpyEdXLkoLzZo3b2689vLyKtNUQ1ej0Lp27WqaPuhqdF5gYKAp5ChP5fk5ceXsz8KmTZtMn52TJ0+WWt+V8PBw0yYVSUlJxtTaytatWzeXa/S5qld09Nw333xTYhiXlpammTNnmo7dcMMNbumfVLDGXCGr0zKr2vcSX19fvf7666aRh//617+MzTcAAAAAAJWjQgO29u3bG+sTSVJqaqr+8Y9/aPny5abwJysrSwsXLjSN/ujQoYO6d+9ulGNjY/X4448X281wzZo1evLJJ033GzZsmGm9r6LTIQMDAxUeHl7sT9GQaNOmTaYg8K677jJN4duyZYtGjBhhaq8kJScna/bs2W4ZjeTKqFGjNGHChGJT0RISEvTDDz8Y5aZNm5bpfkU3Oih09lpwnTp1KrZe1+WXXy5PT88K6WN5fk7O5nQ6Tc+pVq1aLj87Re9RtH5pBg8ebFqLb86cOTp69GiFPKNzefrpp8+5QL6/v7/uu+8+o5ydna2HH37YtEusJB0+fFgPPfSQKYS6/vrrLe+YeaE2btyoXbt2GeWyftZLUhW/l7Rs2VIjRowwyidPntS//vWvyn/YAAAAAHAJq9A12CRp5MiRGjJkiLEWW2Jiop599lkFBwcrMjJSaWlpSkhIkMPh0O23366XXnrJuPaVV17Rvffeq8TEREkFPyz/9a9/VZs2bRQcHKzDhw8b60cVuv766zVw4ECjnJmZaRq19M4777jczXLjxo0aPny4UV60aJHuv/9+SQVTu0aPHq0nnnjCWLR/69atGjx4sOrWratatWopKSlJiYmJcjqdioyMrNARO7Gxsbr99ttdnnvooYfUp08fZWVlaenSpcrMzNQXX3yhsLAw1a5dW5mZmTp8+LBp59Bbb721TO/btm1b0yLuNpvNtIi7VDBltGfPnqZpdK6CufJUHp8TVzZu3GiEIwEBAfruu+9cLiD/4YcfGuvNxcfHa/PmzerQoUOp9/bx8dETTzyhF198UVLBdMLJkydr/PjxJV5z7733uhxpePXVV+uJJ5644OdXt25d/eMf/9B7771Xar3Bgwdr3bp1+uOPPyRJJ06c0LBhw9SkSRNFRkbq5MmT2rlzp2kTjYYNG+rll1++4Ladr02bNum9996T0+lUfHy8li1bZmrP4MGDS7x2/PjxmjJlSonPtyp/L7n33nu1atUqI/BctWqVvvrqq3N+xgEAAAAA5aNCR7BJBT+8T58+XS1atDAdT01N1a5duxQXF2esY7V06VJT8BMeHq5p06apSZMmxrG8vDxt3bpVK1euLBaaDBgwQKNGjTId++WXX4xAKCIiwrSOWFEdO3Y0LcRedKSKVDBF7q233iq2GH1CQoJ27typEydOGD/I//TTTxX6THNzc3Xo0CGXfwoXll+zZo1p9EtSUpJ27typgwcPmp7xddddpwEDBpTpfe12uzp27GiUL7vsMpebVpw9TbSiA7by+Jy4UvQzcO2115a4O2PRjQ/Ovq40ffr0MT3PpUuXauPGjSXWP3LkiMuveWGwaMU999yj+vXrl1rHbrdrwoQJxaY57t+/XytXrtSOHTtMYVbbtm01bdq0SttBVCoIq2bOnKlZs2aZdn+12Wx69NFHXU5hLpSYmFjq863K30s8PDz0+uuvm3Yqffvtt0ucxgsAAAAAKF8VHrBJUoMGDfTxxx9r5MiRpkW+i4qIiNCgQYOKrRvWsGFDffLJJ3ryySdVp04dl9e2a9dO77zzjkaOHCkvLy/TuaI/3N5www2y2Wwu72Gz2UwjRc5e3F6SevTooa+++krDhg0zTe8rqlWrVsXWBXOHq6++Wq+88oratm3r8nydOnX0zDPP6N///neZ1l8rVHQdtrOnhxZ9ToXTJmvWrGl5Wl5ZWP2cnC07O1tLly41yqWNImrQoIHpc71kyRLl5uaWqd3PPvus6TM5ceLEc244URHO3vCgJAEBAZowYYImTJhQ4t/lyMhIPf/885oxY4bCw8MrvS+F7Ha76tatq/79++vTTz89506551LVv5dERESYvobZ2dn65z//WebPIgAAAADgwtmcRYecVJKUlBTFxcUpLS1NPj4+ioyMVN26dct07b59+3TkyBFlZGQoJCRELVq0UFhYWKU/OKlgxElCQoIyMjIUGBiohg0bKjg42C1tKc2ZM2cUGxurtLQ0eXp6qk6dOmrQoMEF3SsrK8sY0RMeHl7i2l0JCQnKzc2Vj4+PaTRPZalKn5Pq7MSJE9qzZ49SUlKMvwNFd7VE2Vws30sAAAAAAK65JWADAAAAAAAAqotKmSIKAAAAAAAAVFcEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAV2dzegujl06JAOHjxolBs2bKhGjRq5u1kAAAAAAACoIBUesM2ZM0cOh8Mo9+7dWw0aNHBZd8OGDdq2bZtRjoiIUN++fY1yTEyMXn/9dSUmJuq2227TiBEj3PnsXFqyZImmTZtmlP/xj3/o4YcfdnezAAAAAAAAUEEqPGCbNm2asrKyjHJ0dHSJAdtvv/2mjz/+2Ch36dLFFLCNGjVKe/bskSTNmDFDPXr0ULt27dz28AAAAAAAAICLag221NTUUssAAAAAAABAZbuoArZ7773XeN2yZUt16dLF3U0CAAAAAADAJe6i2uTgrrvuUvfu3XXy5Em1adNGXl5e7m4SAAAAAAAALnEXVcCWl5enyMhIRUZGujzndDr/7Jj9z645HA4lJCQoKiqq2HUpKSnauHGjEhMT5ePjo0aNGqlt27by9PQstS2pqalat26dkpKSFBISos6dOyssLMzdjwgAAAAAAACV7KIK2O677z7FxMQY5U8++UStW7eWJA0fPlxbtmwxnWvWrJlmzZqlzz77TJ6enlq6dKlx/uTJk5o8ebIWLVpkCuYkKTIyUs8//7x69uxZrA0Oh0PTpk0rtjuqh4eHBg8eLH9/f3c/JgAAAAAAAFSiiypgOx8ZGRkaMWKEEboFBwcb5w4fPqyHH35YCQkJLq89evSonnrqKY0ePdq0i6nT6dRLL72kX375pdg1+fn5+uSTTxQSEuLurgMAAAAAAKASVXrANm/ePC1fvtzluV27dpXb+4wfP14HDx4sdjwnJ0dPP/20KVzr2LGjevbsqRMnTujrr79Wbm6unE6nxowZo27duhnh3Lx584qFa4GBgWrbtq3S09O1a9cupaSkVPYjBQAAAAAAgBtVesC2fv36SnmfwnDN29tbTZo0UZ06dSRJCxYsUGxsrFGvR48emjRpkmw2mySpdevWevXVVyUVjIJbuHCh7r77buXm5mrWrFmm9+jWrZvGjRunwMBASVJcXJyef/557dmzp7IfKwAAAAAAANzEw90NqChhYWEaPXq0VqxYoU8//VQTJ06UJP3000+mevfcc48RrknSDTfcIA+PPx/Lpk2bJEmbN2/WyZMnjeMBAQEaO3asEa5JUlRUlHr37u3urgMAAAAAAKASVfoItq5duyoiIsLluR07dmjfvn3l8j6jR49W586dXb5HUZ9++qk+//xz0zEPDw/l5+dLko4fPy6p+PTVK6+8UjVq1KjsxwcAAAAAAIAqptIDtjvvvFO9evVyeW7KlCnlFrC52s3zzJkzys3NNR1bvXp1qffJzMyUJJ06dcp0vEGDBpX1yAAAAAAAAFCFVdtdRF3x8vIqdiw8PLzUa2rVqiVJxoi2QkWnlQIAAAAAAODSdUkFbN7e3goKClJaWppxbPLkyWrevPk5rw0KCjKVjx075u7uAAAAAAAAoAqotpsclKR9+/am8tdff12m65o0aWIqr1q1SmfOnClWz+l0uruLAAAAAAAAqESXXMB2yy23mMpfffWVJk2apKSkJOOYw+HQhg0bNG3aNOPY5ZdfbppimpqaqmeeeUaJiYnGsdWrV2vevHnu7iIAAAAAAAAq0SU1RVSSevfure7du+v33383js2ZM0dz5sxRYGCgfH19lZycbIxEu/POO1WrVi0FBwfrlltu0fz5843r1q9fr7/85S+KiopSenq6UlJS3N09AAAAAAAAVLJLbgSbJI0bN049evQodjw9PV1JSUmmaZ7btm0zXj/++ONq2rRpsevi4uKMcO3sqaQAAAAAAACo3i7JgC0gIECTJ0/W2LFj1b59e3l6eharExgYqP79+6tZs2am62bMmKEBAwbIbjcP/gsLC9PYsWN1/fXXu7t7AAAAAAAAqEQ2J6vyKyMjQ0eOHFF6errsdrtCQ0MVGRkpD4+S88f09HTFxMQoLS1NYWFhat26tcugDgAAAAAAANUbARsAAAAAAABgwSU5RRQAAAAAAAAoLwRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAX2CrvzTpu7+wYAAFA2rZ3ubgEAAAAuYoxgAwAAAAAAACwgYAMAAAAAAAAsIGADAAAAAAAALCBgAwAAAAAAACwgYAMAAAAAAAAsqLhdRMvJNytCdSrNyyjf85cEeXqWXH/tjiD9uilEscd8lZVtU42APLVqlKG+3U6qQd1sd3cHAAAAAAAA1YzN6XRWzL70O22Wb7Fpd6AeGNPCdGz1jI3y8S7e5FOn7Xrp3cZavyvIdUdtTv297wk9MShOHozbAwAARbWumH8OAQAA4NJQZUewOZ3Sm3OjJEn+vnnKyCp52FpenvTEm02182CAJOm6Lqd05WWpCgly6FiSj+YvC9PBo36au7iOvL3y9cgdR93dPQAAAAAAAFQTVTZg+35VqGJiAxRVO0sdW6Tru5VhJdZduq6mEa49eme8hvRPMJ0f2PuEHhjbQtv2BerTRXV0303HFeif5+4uAgAAAAAAoBqokpMlM7M8NPXLSEnSk3+Ll5e99GkbG2IKpoXaPZ26u9/xYuftdulvN5yQJDnyPLQr1t/dXQQAAAAAAEA1USUDto+/r6ukFG91apWmXp1Szlk/O6dgvbcAv7wSwzg/n3x3dwsAAAAAAADVUJUL2I4ne+nTH+rIZnPqqb8dKdM1LaMzJEmp6Xb9tKamyzo/rys4Huifp9aNzri7mwAAAAAAAKgmqlzANuWLesrO8dDNVyWrZXRmma4ZcE2SompnS5Je+zBac36oI4ej4Fyuw6ZJn9fT96tCJUkv3HtYAX6MZgMAAAAAAED5qFKbHGzfH6DFv9eSn0+eHh5Y9p0+fX2cevPJfXp6UlPFn/DRpM+jNO+n2rquyyktXVdTCcneCvDL08h/HNL1V5xydzcBAAAAAABQjVSpEWxvzo2SZNOQ/gkKC8k9r2ubRGVpzr92afBfEuTjna+EZG/NXVxHCcne6tzqtBa+tY1wDQAAAAAAAOWuygRsP/5eU9v2BapuaI7LnUDLIiXdrqwcT9ls/+ucR8GGB+t31dDjbzZVDLuHAgAAAAAAoJxViYAtO8emKV/UkyQ9ekecfH2c532PBctD9beRrfXV0nA1jcrUBy/t1rdvbtfA6xLl6enUtn2BGjqqhb79NdTd3QUAAAAAAEA1UiUCtjk/1FFCso/aNklX3+7nP43z57U1NXpmtLKyPXTHdSc0458x6tQqXXVDc/TifYc16/9iFFU7S7kOD73+UUOt3xno7i4DAAAAAACgmnD7JgfJKXbNXlhXkhQWkqvp/40oVmfnwT+ndn70bYQ8PZxq3ShDV3VMVVa2TWNmNpAktW+WrufuOSKPs2LD1o0z9O7zezXwxTbKdXho5ncR6tx6r7u7DgAAAAAAgGrA7QHbwaO+ysz2lCQt31BTyzfULLX+zG8LArjbrk3UVR1TtW1/oNIyCrpxY4/kYuFaoXq1c9S+WbrW76qhHQcC3N1tAAAAAAAAVBNuD9jCQnL112uSSq2zZW+gYo/6SpL690ySp6fUoXm6JCkn12bUczptpd7HkVeQvnl6nP8abwAAAAAAAIArbg/YoiOz9X/3Hyq1zthZDYyA7aUhh+Xj/WdA1iQqS5JTkk3f/BqqAdckyW4vHqAlJHtr1/92EW0ZneHubgMAAAAAAKCaqBKbHFhRNzRHvTqlSpJ2HQzQC1Mb63iyl6nOnkN+emZSE2XnFHR30PUn3N1sAAAAAAAAVBNuH8FWHv459JCOHPfR/jg/rdgYotVbgtW0foYC/PJ1LMlbRxO9JRVMHx38lwRdfXmqu5sMAAAAAACAaqJaBGw1azg0+5UYffRtXf13ebhS0+2KiTVvZNC0fqaG/fWo+nRNcXdzAQAAAAAAUI3YnE5nxaz4v9Nm/R4XwOGQ9h7xV3yij7KyPRTo71DTqExF1clxS3sAAMBFoDUbIAEAAODCVbuADQAA4LwRsAEAAMCCi36TAwAAAAAAAMCdCNgAAAAAAAAACwjYAAAAAAAAAAsI2AAAAAAAAAALCNgAAAAAAAAACwjYAAAAAAAAAAsI2AAAAAAAAAALCNgAAAAAAAAACwjYAAAAAAAAAAsI2AAAAAAAAAALCNgAAAAAAAAACwjYAAAAAAAAAAvsFXXj6E8WurtvAABUmNhxN7m7CQAAAACqCEawAQAAAAAAABYQsAEAAAAAAAAWELABAAAAAAAAFhCwAQAAAAAAABYQsAEAAAAAAAAWVNguouerSXiA/tI2Qm3rBauGn5dyHPk6fDJDv+5J1LKY48p3ln79lU1CdX3rumpSO0C+dk+lZuZqW3yqvt0cr9jkDHd3DwAAAAAAANWUzel0Oq3fprjoF78vc93XbmmjIVdGl3h+x9HTevDT9Yo7lVnsXK0Ab039++W6skmoy2vzndJHqw5o7KJdqpieAgAuRbHjbnJ3EwAAAABUEVViBNvJMzmSpPWxp7T+0EmlZTlUp4avrm4eruhQf7WJrKFP7r9Cfd9eody8P1MyD5s0a2gXtY8KkSQt2nZMy3cn6uSZHEXV9NPdVzRUszqBeuCqxsp25Gvij7vd3VUAAAAAAABUM1UiYJu39rCW7jquHUdPm457etg0YeBluv3yKDUOC9BNl0VqwaZ44/yN7SKMcG384hi9v3y/6fpP1xzSlw921+UNa2r41Y31wYr9SstyuLu7AAAAAAAAqEaqxCYHJ9Kyi4VrkpSX79TohTuNcueGNU3nuzUumBaam+fUjJUHXF4/c/VBSZK3p4fa1Qt2d1cBAAAAAABQzVSJgK00pzJylfy/KaT+3uYBdz5enpKk9GyHaepoURk5ee7uAgAAAAAAAKqxKh+w+Xp5KNCnIFiLTT5jOrc9PlWSVNPfS/0vi3B5/U3/O346y6EtR1Lc3R0AAAAAAABUM1U+YHu0dzP52D2U7cjXfzfGmc7NW3tYh5IzJElv3tlBD1zVWJ4eNkmSl6dNL9/YSrdfHiVJ+r8F23WG0WwAAAAAAAAoZzan0+m0fpviol/8/oKuaxjqr1r+3moQ6q87OtdXz6Zhynbk67kvt+jbLUeL1W9WJ1Af3ddFDWr5S5LiUzK1aNsx3dguQvVC/JSW5dCLX2/V91uPVeJjBQBUd7HjbnJ3EwAAAABUEVUuYPtqxJXqHP3nZgbLdydq9Pc7te9EeonX1PC169HezXRv92j5ev05KO+3/cka8el6nWbnUABAOSNgAwAAAFCoyk8RvapZmF7o11J1a/iWWKdmgLf8vD3lVEFWmJdf8N8rm4Rq9tCuahNZw93dAAAAAAAAQDVV5UawSZKHTaod5Kurm4frub4tFB7ko+OnszTg3dU6lpplqntX5/p67a9t5OflqU1HUjRu0S4dOZWhh3o11d+6NpDdw6ZsR75G/nebvtwQd4EtAgDAjBFsAAAAAApVyRFs+U4p4XSWvlh/RENnr5Mj36k6NXz11PXNTfVubBeh8QMvk5+Xpz75PVYD3/9Nfxw8qaMpWfq/Bdt167urFZucIR+7h8YPbK9ujUPd3TUAAAAAAABUM1UyYCtqe3yq/jiQLEm6vnVd47iP3UP/vq2dJGl97Cm9+u0OY2pooW3xqbpnxhplO/LlYZMe7d3U3d0BAAAAAABANVPlAzZJik3OkCTV9PdSoI9dktSpYU0F+3lJkr7eFKeSJroeOZWpDYdOSZLaR4W4uysAAAAAAACoZi6KgK12kI8kyemUMnPzJEne9j+b7mGzlXq9l2fB+bNHuAEAAAAAAABWVfmArVFYgK5uHi5J2nQkxQjJ9hxPM0at3dm5vuwerkO2yBBftasXIknafjTV3d0BAAAAAABANeP2gM3uYdO84d11++VRqhXgbRz3sXtoQMd6mje8m3z+N1ptxsoDxvmjKVn6aWeCJOmyqGC9N7iT6tbwNd27VUSQPry3i3y9Cq6ftfqgu7sLAAAAAACAasbu7gZc1Txc3RrXUrfGtSRJqZm5ynbkKzzQR0Vnfs7+LVaLth0zXfvS19sUHRqgFnWDdEPrOrq2RW3FJJxWerZDUSF+iqrpb9xj+q8HtHTXCXd3FwAAAAAAANWM2wO2bXEpmrn6oG6/PErBfl7GxgWF9iWm652f9+rbLUeLXXvyTI4GvLtaj/Zuqr9f0VA1/b3Url6wqU5MQpom/7xHP2xPcHdXAQAAAAAAUA3ZnE5nhaz8H/3i9+dV39PDppZ1g1S/lr8CvO06k+PQnoQ0HUg6U+brW0XUUINa/vLz8tTprFzFJKTpyMmMin+KAIBLTuy4m9zdBAAAAABVhNtHsBXKy3dqx9HT2nH09AVfvz0+Vdvj2cgAAAAAAAAAlcftmxwAAAAAAAAAFzMCNgAAAAAAAMACAjYAAAAAAADAAgI2AAAAAAAAwAICNgAAAAAAAMACAjYAAAAAAADAAgI2AAAAAAAAwAICNgAAAAAAAMACAjYAAAAAAADAAgI2AAAAAAAAwAICNgAAAAAAAMACAjYAAAAAAADAApvT6XS6uxEAAAAAAADAxYoRbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABQRsAAAAAAAAgAUEbAAAAAAAAIAFBGwAAAAAAACABXZ3N+Bi4HQ6tWLFCqPs6empq666yt3NKlepqanatGmTUQ4ODlbHjh3d3SwAAAAAAIAqz+Z0Op0V+Qaffvqp8vLyjHL37t3VokWL/2fvvqOjqP6/gb83jTRSSCH00CQJRSDIjyagXxSQqlGwYEFUqhRpgnSliAFRIiA1YFRQegcBQXpPqAmEEgjpPZu+u/P8kWfHnWT7poHv1zmcQ3ZnZ2fu3L33zmdu0bptdnY2tm3bJv4dGBiIli1bVnYaQaFQoEOHDuLf9vb2OHXqlNGfz8jIwJw5c3D9+nUEBgZizpw5cHR0rOzTkggPD8cnn3wi/v38889j3bp1lX1YRERERERERERVXrn3YFuxYgWKiorEvw8cOIBff/0VNjalvzojIwMhISHi32PGjCnTANvFixeRnJws/t2+fXt4enqWdxJg3bp1YkDu2LFjCAgIwEcffVTu30tEREREREREROWvwoeI3rt3D5s3b8aQIUMq/GQ3btyIc+fOiX//+OOPFRJgy8zM1Ps3ERERERERERE9vSplkYPVq1cjJSWlss+9wgwaNEgcEuri4oIBAwZU9iEREREREREREVEZqZRFDnJzc7Fs2TJ88803lX3+FaJFixbYtWsX7t27h+eeew4uLi6VfUhERERERERERFRGKm0V0YMHD+L1119HYGCgWZ8XBAFRUVGIjo6GXC6Hm5sbWrVqhdq1a2vdVnOhBTWVSgWFQlGcEDbmJcXjx48RERGBnJwc1KpVCy+88AIcHBxKfU/16tXRunVr8XhkMpn4nkqlEre1trYW3wOAxMREuLq6wt7evtQ+b926hfv37yM3Nxeenp5o3bq1wSGvRUVFuHTpEmJjY2FnZ4fmzZujSZMmZp07ERERERERERFVcIDN0dERubm54t+LFy/WueCBPkePHkVISAgeP35c6r22bdviiy++gJ+fn/jaiRMnMGnSpFLbjh8/Xvz/5s2bTQo0ZWVlYcGCBThy5Ijk9Ro1amDhwoWSwOGPP/6IsLAw8e9x48bh/fffBwCsWrUK69evL/XewYMHsWrVKsTGxpY6tr/++gvLly9HXFyc5LtlMhn69OmDyZMnw8nJqdQxHzx4EMHBwcjIyJC83rlzZwQFBZl0DYiIiIiIiIiIqFiFzsH24osvSgJf6gUPTPH9999j6tSpWoNrAHDlyhUMHToUhw4dKrfzUKlUGD16dKngGgCkpaVh8uTJpYJYpggODsaMGTMQGxtb6r2QkBBMmzatVHANKO4Zt3fvXgwfPhwFBQWS937//XfMmDFD63GdPn0a8+bNK7f0IiIiIiIiIiJ6llVogE0mk2Hq1KmS10xZ8ODXX3/Fr7/+KnmtUaNG6N69O7y9vcXXioqKMHv2bFy9ehVAcc+5Bg0alBpm6e3tjQYNGqBBgwaws7Mz+jwKCwtx+/ZtODs7o02bNpLvBop7t+3fv9+sNNq9e7fOoOPevXsRGhoq/u3g4ID33nsPY8aMQUBAgPh6ZGQk1q5dK/59+/ZtLFu2TLIvGxsbtG3bFu3atYODg4NFAUEiIiIiIiIiov+yCl9FtGXLlujfv7/4t3rBA0PS09OxcuVKyWujR4/GH3/8geDgYOzatQu9evUS31MoFPjuu+8gCALat2+Pbdu2iXOgqc2YMQPbtm3Dtm3bUL9+fZPOo1u3bti/fz/WrFmD3bt3o0uXLpL3r1+/blb6PHjwAEBxMLJhw4YIDAyEo6MjioqK8NNPP4nbyWQy/PTTT5gwYQI++ugjrF+/Hg0aNBDf37p1qzjv3Lp16yRz0Pn4+GDz5s1YvXo1Vq1ahQMHDkjSjoiIiIiIiIiIjFfhATYA+Pzzz+Hs7Cz+ffDgQVy+fFnvZw4ePIj8/Hzx72bNmmHo0KHi37a2tpg6dapkv3fu3MHNmzfL/PhtbW3xzTffwNHREUBxb7B+/fpJtjG3R5iNjY04/PTPP//Ezz//jNq1a+Pq1atITk4Wt2vTpg1atWol+VyPHj3Ev7Ozs3H//n0UFBTg1KlTku+YPXs2fH19xb+dnZ3x5ptvlnk6ERERERERERH9F1TKKqLu7u4YOXIkvvvuO/G1xYsX49tvv9X5mZIBuNdee63UNtWrV0eXLl1w8OBB8bUrV66gRYsWZXr81tbWpVYKdXV1lfytbdVSYwwdOlQSOFS7deuW5O/ExERMnDhR8tqTJ09KbVNYWCiulAoAHh4eeOGFF8o0PYiIiIiIiIiI/ssqJcAGAG+++SZ27tyJu3fvAjC84IFm7y0AqFu3rtbtateurfdzVZ26V1xJ6enpkr+fPHlSKqBWkuaKrWr16tWr7FMkIiIiIiIiInqmVFqAzdraGlOnTsUnn3wivrZt2zad26tUKsnfTk5OWrerVq2a3s89rWxtbSV/Ozo66kwDzbR4Vs6fiIiIiIiIiKiqqrQAGwC0bt0affr0wb59+wAAgiDo3NbDw0Pyd0JCgtbt4uPjJX/XqFGjMk+xzHh6ekr+bt++PYKDgw1+Ljw8XPK3rnQjIiIiIiIiIiLzVMoiB5rGjh0rWZhAl+eff17y95EjR0ptk5+fX2pCf83P2dhI44nahlBWVSXP/9y5cwaHiAJAw4YNJX8nJCTg2rVrpbZjTzciIiIiIiIiIvNUeoDNw8MDw4cPN7hdr169JAGyU6dOITQ0VOz1lp+fj3nz5iElJUXcpm7dumjdurX4t5ubm2Sfe/fuRWFhIQRBqPIBJj8/PzRt2lT8Oz8/H2PHjsXp06clCyokJydj69atuHjxIoDixRcCAgIk+5o+fTquX78u/v3gwQMsXbq0sk+RiIiIiIiIiOipVKlDRNXeeust7Nq1C9HR0Tq3qVWrFj766COsXbtWfC0kJAR//vknatWqhXv37iE7O1t8TyaTYdKkSZKgXLt27bB3717x71OnTqF79+6wsrJCaGgomjRpUtlJoZNMJsPkyZMxatQocVXQmJgYjBs3DtbW1qhRoways7ORn58PoHgRCfVqoUOGDMH06dPFfSUkJGDo0KHw9PSEra1tqWG1RERERERERERkvErvwQYUD92cMmWKwe2GDx+OoKAgyWuJiYkIDw+XBNdsbGwwffp0dOnSRbLtq6++WiqIVlhYKAalqrq2bdti4cKFpRY3UCqVSE5OlpyHZg+1V199Ff369Su1v5SUFDG4VpWDi0REREREREREVVmVCLABxcGjXr166d1GJpNh2rRpWLRoERo1aqR1m/bt22P9+vV4/fXXS71nZ2eHVatWoV+/fqVWG7WyqjJJoddLL72ELVu2YPDgwXB3d9e6jZ+fH9566y3Ja7NmzcK4cePg4uIieb1atWoYNmwYJk+eXNmnRkRERERERET0VJIJ+pburOJiYmJw//595OTkwM3NDQEBAUavGqpQKBAfHw9BEODt7Q17e/vKPh2zPHnyBKmpqSgqKoKTkxPq1atXqodbyfO+ffs2UlJS4OTkhBYtWsDR0bGyT4OIiIiIiIiI6Kn1VAfYiIiIiIiIiIiIKtvTMS6SiIiIiIiIiIioimKAjYiIiIiIiIiIyAIMsBEREREREREREVmAATYiIiIiIiIiIiILMMBGRERERERERERkAQbYiIiIiIiIiIiILMAAGxERERERERERkQUYYCMiIiIiIiIiIrIAA2xEREREREREREQWYICNiIiIiIiIiIjIAgywERERERERERERWYABNiIiIiIiIiIiIgswwEZERERERERERGQBBtiIiIiIiIiIiIgsYFNue74lq+xzIyIiIiIiIiKyTIBQ2UdATwH2YCMiIiIiIiIiIrIAA2xEREREREREREQWYICNiIiIiIiIiIjIAgywERERERERERERWYABNiIiIiIiIiIiIguU3yqiZkpMtcWufzxxNcoZ6dk2cHZQ4bn6uXitcypaNM7V+blLt5xx+porHsbZI7fAGo7VlGhcNx8vBaajuZ7PERERERERERERWUImCEL5rDd7S2byR7Ye9cTS3+qhsEh7x7o3XkrG1A8ewdr639cUCuCjef6IfOioc789O6Rh9qcPYWfLpXWJiIiIiIiIyAQBjCWQYVWmB9vekx5YtLEBAKBmjUK80zMRvrUKkJxui21/eyLyoRO2/+0FKyvgyw8f/XsCNoCzgxI21ip0fj4LTevlwtoaiEu2w9+X3SHPtcahczVgayNgzmcPK/s0iYiIiIiIiIjoGVMlerBl51ij38SWkOdao2aNQoTNuw13F4X4vkIBTPqxCU6FuwIA1s2IxPPP5YjvRz50QA0XBbxrFEn2myW3xifzm+H+EwcAAvYuvQ4fzyKjjomIiIiIiIiIiD3YyBhVYpGDvy4U9zQDgE8HxkuCa0BxL7WvhsbA1kYFANhyxFvyvp9vXqngGgC4OCsx/PW4//+XDNeinSv7VImIiIiIiIiI6BlTJQJs4Xf+DXy92DpD6zZe7kX4vxZZAIAz11xhbL+7hnXyxf/nFVSJ0yUiIiIiIiIiomdIlYg4pWXZAgCq2ang4abQuV3zRsWrgcpzrRGbVM2ofadk2Ir/r1ezoLJPlYiIiIiIiIiInjFVIsBm9/+Hfhrqlebh+u8w0PQsw+szKBQyrNtdCwDQqE4eWjWRV/apEhERERERERHRM6ZKrCJa36e4Z1lhkRWiH9ujSb18rdupA3EAUFCkPTYYFeMAea41HsQ54LdD3niUYA/vGoWYP/IBbKrE2RIRERERERER0bOkSoScurdNR9iBmgCA1Ttq49vP70NWYhHShBRbsTcaALg6lR5KqlAA780MkLz2bs9EfNw/AW7VdQ89JSIiIiIiIiIiMleVGCLaulkOurXNAAAcu+SOcUua4NKt6khIsUXkQ0es3VkLb88IkMy75uVeZNS+d/3jibW7fFBYJDNqeyIiIiIiIiIiIlPIBMHY9ThNdMu0gJY81xoTf2iMy7era31/YPcUnLvugoRUOzSsnYc/F93Sua/CIhniku1w8GwNhO71gUJphbZ+2Vj15R1YVYmQIhERERERERE9FQLKJ2xCz5YqMUQUAJwdlVg59Q6OXXLHkQvueJRQDXa2AprUzUW/F1NhbS1g53FPAECX1pl692VnK8C3dgFGBMXD1VmJJb/Ww5XI6th/ugb6vphW2adKRERERERERETPkCrTg82Qicsa48QVN8hkAnZ+dwN1vAuN+pxSCXT5tA2KFFZ4uV06Fo+9Xy6nS0RERERERETPIPZgIyM8FQMmD59zx4krbgCAXh3TjA6uAYC1NVDbq3j7J8nVjP4cERERERERERGRMap8gC0u2Q4LQhsAABztlRj39hOTPq9SAamZxSNhHaopK/t0iIiIiIiIiIjoGVOlA2zpWTaY9ENjyHOtAQAzh8XA08241UPV9p/2gDy3OMDW+rmcyj4lIiIiIiIiIiJ6xlTZAFtCqh0+md8Mdx45AgA+HRiHV/4vvdR2kQ8dMX5pE5y55oL8gn9PJyPbGj9vr4X5G+oDAKrZqRD0cnJlnxYRERERERERET1jqswqopou33bGjFUNkZxuBwAY/kYcPh0Yr3Xbg2fdcSrcFafCXWFlJcDFSQFBkCFT/u+pWVsLmPPpQ9TyNH7uNiIiIiIiIiIiImNUqQCbSgWE/FkHv+yvCUGQwdlRiRkfx6BH+3Sdn+ndKQ1xydXwz1U3KJQyZGTbSt5v55+NsYNjEdAot7JPj4iIiIiIiIiInkEyQRDKZ73ZW7IKPZG8fCvcfuiIlAxbFBZZwdVZAf+GOfB0U1TocRARERERERHRMySgfMIm9Gx5ZgJsRERERERERERljgE2MkKVXeSAiIiIiIiIiIjoacAAGxERERERERERkQUYYCMiIiIiIiIiIrIAA2xEREREREREREQWYICNiIiIiIiIiIjIAgywERERERERERERWYABNiIiIiIiIiIiIgswwEZERERERERERGQBBtiIiIiIiIiIiIgswAAbERERERERERGRBRhgIyIiIiIiIiIisgADbERERERERERERBaQCYIglMeOfb/cV9nnRkREREREREREJHq4qE+57Jc92IiIiIiIiIiIiCzAABsREREREREREZEFGGAjIiIiIiIiIiKyAANsREREREREREREFmCAjYiIiIiIiIiIyAI2lX0A2nhXr4bxPZ5DgUKFuXtu6t22pos93gysiw6NPODhbIeM3CJciUnHtiuxeJCSo/Nz7o626NuqNgIbuMPDuRpkMiAxKx8XHqRhb0QccgqVlZ0MRERERERERET0FJAJgiCUx459v9xn1uf8fKpjw9D2qOVqj2R5AV745ojObd/v0ADTXvOHo511qfcUKgGr/7mPxQcjS703oHVtLH7zeVSz0d6BL0VeiPGbr+JUdEp5JA0REREREREREVWCh4v6lMt+q1QPtq5NvbBiSFs4VzN8WMO6NMTMvgEAgIzcImy5+Ah3k+So4+aAQS/UQx03B4zq3hiuDrb4asd1yWfjM/NRzcYKD1Jy8M+dZCRm5cPdyQ6t67nhBd8a8HS2w7qPXsBrP/yDe8k5Bo+FiIiIiIiIiIj+u6pMgO3t9vXwzcCWsLGSGdzWv1Z1fNnbHwDwKC0Xg38+i/jMfPH99acfIHRoewQ2cMd7/1cf/9xJxqGbCeL7Fx6k4aMNF3A8KrnUvt9pXx8L32iJajZW+KxrY0zddq2yk4aIiIiIiIiIiKqwKrHIwcjujbHojVawsZLhx6N3EZOaq3f7yT39YGtdHIgbvyVcElwDgOx8BUb/egUFChUA4MvefqX2oS24BgC/X3iEqIRsAECgr3tlJw0REREREREREVVxVSLA1qGRB4qUAr74IxxL/7qjd9tarvbo3swbAHDufhquxKRr3S4hKx87rjwBADT0dEKnxh5GH090khwA4GhbZTr4ERERERERERFRFVUlAmyZeUX4YN15bP//ATF9ujb1gnoU6YEb8Xq3/ev2v8NCuz3nZfTxeLtUAwA8TOX8a0REREREREREpF+V6KI1des15BUpjdq2Tf1/h21ee5yhd9trsZni/1vXN264Z9emXmjXoAYAYPOFR5WdNEREREREREREVMVViQCbscE1AKjv4Sj+31APs+TsAuQWKuFoZ4167o5at/Fyroaarvao4+aA7s288Fa7epDJgA2nH2J3RFxlJw0REREREREREVVxVSLAZgo3R1vx/9n5CoPbywsUcLSzhouD9lP9sJMvxrzcRPz7QUoOZu+6iX/uJhvcNxERERERERERUZWYg80UTnbFgTJBABQqweD26pVE7W2tjdp/Q08nTOrZDP/XsEZlnyoRERERERERET0FnroAm7yguNeaTAZUszF8+I52xYE1uY7ebsGHo+D75T48P/cwhoZeRERsBlrVdcUvn/wfujczfmEEIiIiIiIiIiL6b3rqAmyZeUXi/90c7fRua20lg4u9banP6drv35FJeG/NeTzJyIOdtRVm92sOa/WSpURERERERERERFo8dQG26CS5+P/GXk56t23o4QRb6+IA2d2kbKP2Ly9Q4Pf/v3poQ08nNPZyruxTJiIiIiIiIiKiKuypC7BdeZQu/v//Gnno3bZj43/fvxyTDmPFpOaK/69fw9HozxERERERERER0X/PUxdgOxaZhPyi4oULBrauA30jOF9vUwdA8YII+6/HG/0d3tWrif/PLTS8UikREREREREREf13PXUBtqy8Iuy4GgsAaODhiI+7NNS6XZ9WtdC2gTuA4qCcZq80farZWOGd9vUBFK9Aei02s7JPmYiIiIiIiIiIqrCnLsAGAIsPRiJFXggA+LK3Pz7t2gh21sWnYm0lw6B29RD81vMAgNxCJebsviH5/LdvtsKo7o0lwz+tZMALvjXwx4iOaOJdPO/alouPxVVLiYiIiIiIiIiItLGp7AMwR3puEYaFXsSmYe3h6mCLr17zx7j/NcWT9Dz4uNrD1aF45dD8IhVGhl3G4/Q88bMu9jZ4vU0d2FlbYUovP+QUKiHPL0INp2rigggAcCUmHYsO3K7sUyUiIiIiIiIioiruqezBBgARsRno++NJHLiRAKVKgHM1GzTzqQ5XB1sIAnDybgr6h5zCiTvJks/lF6mw+GAkHqUVDxl1srNGTRd7MbiWllOI7/+6g8GrzyK3UFnZp0lERERERERERFWcTBAEoTx27Pvlvgo7CVcHW7Su54YaTnbIzCvC9SeZSM4uMPi5Bh6OaOpdHS4ONihSCniUmosbcZlQqsolSYiIiIiIiIiIqBI9XNSnXPb7VA4RLSkzr6hUTzVjxKTmGr34ARERERERERERkTZP7RBRIiIiIiIiIiKiqoABNiIiIiIiIiIiIgswwEZERERERERERGQBBtiIiIiIiIiIiIgswAAbERERERERERGRBRhgIyIiIiIiIiIisgADbERERERERERERBZggI2IiIiIiIiIiMgCDLARERERERERERFZgAE2IiIiIiIiIiIiCzDARkREREREREREZAEG2IiIiIiIiIiIiCwgEwRBqOyDICIiIiIiIiIielqxBxsREREREREREZEFGGAjIiIiIiIiIiKyAANsREREREREREREFmCAjYiIiIiIiIiIyAIMsBEREREREREREVmAATYiIiIiIiIiIiILMMBGRERERERERERkAQbYiIiIiIiIiIiILMAAGxERERERERERkQUYYCMiIiIiIiIiIrIAA2xEREREREREREQWYICNiIiIiIiIiIjIAgywERERERERERERWYABNiIiIiIiIiIiIgswwEZERERERERERGQBBtiIiIiIiIiIiIgswAAbERERERERERGRBRhgIyIiIiIiIiIisgADbERERERERERERBZggI2IiIiIiIiIiMgCDLARERERERERERFZgAE2IiIiIiIiIiIiCzDARkREREREREREZAEG2IiIiIiIiIiIiCzAABsREREREREREZEFGGAjIiIiIiIiIiKyAANsREREREREREREFmCAjYiIiIiIiIiIyAIMsBEREREREREREVmAATYiIiIiIiIiIiILMMBGRERERERERERkAQbYiIiIiIiIiIiILMAAGxERERERERERkQUYYCMiIiIiIiIiIrIAA2xEREREREREREQWYICNiIiIiIiIiIjIAgywERERERERERERWYABNiIiIiIiIiIiIgswwEZERERERERERGQBBtiIiIiIiIiIiIgswAAbERERERERERGRBRhgIyIiIiIiIiIisoBNZR8AVU2bNm3Crl27UL16dYSGhpr0WZVKhcLCQtjb22t9PykpCWlpaVCpVPD29oanp2dln64oPz8faWlpqFGjhs7jB4CsrCzI5XLUqlULMpnM6P1X5XM35fyfVvHx8Xj8+DGsrKzQqFEj1KhRo7IPiYiIiIiIiJ4BFRZgO336NCZNmlTqdSsrK1SvXh0BAQEYMmQI2rZtW9lpQgCOHTuGmJgYdO3a1aTPxcbGYsSIEUhNTcWvv/6KRo0aAQCePHmCLVu24PDhw0hJSZF8pkmTJpg0aRLatWtXqed848YNzJgxA7GxsdiyZQsaN26sdbvdu3fju+++Q7Vq1fDXX38Z3K+p575nzx4sWLDAqGN+7733MGbMGMTGxuKtt94y6jP+/v5Yv3692ef/tFGpVDhw4AB++eUXREdHi69bWVmhR48emDJlCtzc3LR+NiwsDD/99JPOfXfr1g2LFi2q7FMkIiIiIiKiSlZhAbaLFy+iqKhI63sFBQX4559/cPLkSSxevBgvvfRSZafLf1peXh4iIyMBAIGBgSZ9ds+ePUhISIBMJoOtra34+pw5c3D16lUAgJeXF+zs7JCQkAClUono6GiMGTMGv//+Oxo2bFjh56tUKrFhwwasWbMGSqUSbm5uYmBQU1ZWFubPn4+jR48CADp16mRU7zVTz/38+fM6fyslde7cGQBw6dIloz/TqVMns87/aZSVlYXp06fj3LlzAIC6deuiVq1aePDgAVJSUnD48GHExsZi3bp1kvyqtmvXLr3p2qpVq8o+RSIiIiIiIqoCKizAdvnyZQDAc889h7Vr1wIABEFAYmIiDhw4gNDQUAiCgB9++IEBtkoWHh4OhUIBwPQAW8+ePZGSkoLu3bujXr164uutWrXCyy+/jN69e4u9hfLz87F48WLs3r0bCoUC+/btw5gxYyr0XOPi4jBz5kxERESIrwUGBpYKnF26dAmzZs1CUlKSZDtjmHruM2bMwPTp07XuKysrC0OGDEFGRgb69OmDNm3aAAD69OmDV199VecxfPHFF7h06RIaNGiA999/3+Tzfxrl5uZi1KhRiIyMhJeXF2bNmoWOHTsCABQKBRYtWoSdO3fi1q1b2L9/PwYMGCD5/I0bN/DgwQM4OTlh27ZtqFatWqnvcHBwqOzTJCIiIiIioiqgQhY5kMvliIqKAlB88+7o6AhHR0c4OTmhUaNGGD16NF555RUAxUMMc3JyKjtd/tPUwVBnZ2c899xzJn22UaNGmDlzJl588UXJ659//jneeecdyVA8e3t7TJ06FdbW1gCAjIyMCj3Pw4cP45133sH169fRp08f8XXNwJlKpcLy5csxcuRI5OXloVu3blq308fUc7e3txd/IyX/rVy5EhkZGfDw8MDEiRPFz9ja2ur8zJEjR3Dp0iXIZDLMnDlTDBQZc/5Ps5kzZyIyMhLu7u5Ys2aNGFwDABsbG3zxxRdwdHQEAK1Dfffs2QOgOGjs6emJ6tWrl/pnY8NpLImIiIiIiKiCAmzh4eFQqVQAdN+8165dW/y/OuhQ0v3793HixAmcOXMGaWlper+zqKgIkZGROHHiBI4dO4arV68iLy/P5GPPz88v9ZpSqUR8fDzu3LmDhIQECIKgdx+CIODOnTs4ceIEzp07h/T0dJOP4+HDhzh58iROnz5t1uc1jyU+Ph63b9/GvXv3tJ7fpUuXAABt27aFlZVVmX5/STY2NmJvKR8fnzLbryEqlQoLFiyAi4sLVq9eLcmXmv+PiorCxo0bERgYiM2bN8PZ2RkAymQYpannfubMGezbtw8A8OWXX8LFxcXgZ1JSUrB06VIAwODBg9G6dWuTzr8s5Obm4sqVKzh+/DgiIyMN/l50UalUOHXqFL744guDQfgDBw7gxIkTAIDZs2ejbt26pbZxdHSEv78/gOKyRVNBQQEOHToEAKV6thERERERERGVVCHdL9QBG5lMpnMRA/UNbt26dSWrFwqCgO3bt2PTpk148uSJ+LpMJkNQUBAmT54sCcjJ5XIEBwfj+PHjkMvlku+wt7fH6NGj8c4770heP3fuHL788ksAwPr16+Hl5YXff/8du3fvRqtWrcQJ5x88eID169fjr7/+EodQAsU9vQYNGoRRo0ZJ9pubm4uwsDBs3bpVEhC0srJCz549MXny5FJBktzcXPTr1w9KpRKff/45mjRpgiVLluDWrVviNra2tpg+fTr69etn9DV4+PAhwsLCcPz4cUlvKWtra3Tu3BkLFy5EtWrVkJeXh9u3bwMoDrREREQY/f1//PEHVqxYAWtra+zZs0fsHaRPRESEmJb/93//Z/T5WOrOnTt48cUXMXXqVDg7O2PHjh0ASgfOrl27hrFjx+L999+HTCYTe/eVxTBKU85dLpdj/vz5AIBXXnnF6GHUCxcuhFwuR506dTB69GiTz99Uq1atwubNm+Hq6opffvkFq1evxq5duyTB7Xr16uHrr79GixYtjNpnamoqdu/ejW3btiEhIQF+fn5wcnLSub1CoUBISAiA4vnmunTponNbV1dXAMW/O03q8qNJkyZo3ry52elBRERERERE/w0VEmBTByWaNm2qtddNamoqzpw5AwDo0aOH+LpcLsekSZNw6dIl2Nvbo1evXvD29kZERAQiIiKwdetWeHt74+OPPxY/k5eXh71798LHxwcBAQFwcXHBo0ePcOfOHeTn52PJkiUIDAyUDH28cOEC5HI5XFxckJWVhTFjxohzbX300UcAioOE48aNQ0FBAby8vFC/fn1kZWUhLi4Ocrm81IqLt2/fxpQpUxAfHw9ra2sEBgaiRo0auHnzJuLi4nDgwAHExMRg/fr1kmFmV69eRWZmJoDiAMyiRYvQrFkz9OjRAw8ePMC9e/dQVFSE4OBg9O7d2+AQNUEQsG7dOqxdu1YM5tSpUwcODg5ITExEdnY2nJ2dxWGD4eHhUCqVAIp7by1btszo7z937hzkcjn8/f2NCq4BxUE5AGjRogVatmypczu5XC723jJGs2bNxN5a2vj6+uLrr78ulUdLBs4GDBggBnzj4uKQkJAgbmcpY88dAJYtW4bExES4ublhypQpRu3/4MGDYi+umTNnSuYLM/b8TaXOAx4eHnj33XeRlZWFNm3awMnJCdevX0dCQgIeP36McePGYdeuXWKPQG2uXLmCrVu34tixY1AoFKhevToGDRpkcLXUgwcPIjExEQDwwQcf6N1WHVjTDOoD/w4PlclkWLhwIVxdXdG8eXN07tyZw0KJiIiIiIiolHK/Uyw5/1pJKpUK8+fPh0KhgKOjo9i7rLCwEGPGjMGNGzfg5+eH4OBgcRidIAiYNWsWDhw4gN27d0sCbG5ubvjtt99KzR22efNmBAcHAyjulaT5vjq4YG9vjzFjxsDLywvDhg1D48aN0aFDBxQVFWHWrFkoKCjAJ598guHDh4tBCJVKhfDwcHGyeQC4desWRo4ciZycHHTo0AFfffUVatWqBaB4eOnChQvFydX37dsnGYKmPhb1fjZs2CD29BEEARMmTMCpU6eQk5ODlJQUg0MLv/76a+zevRsymQzvvPMO3n//fXh7e4v7O3v2LJo0aWLx96tUKnGlTGODT+fOncORI0dgY2ODr776Su+2ly5dwnfffWd0vps1a5beAJtmQEVf4ExzO3VPTFPOsSzO/eLFi9i5cycAYPLkyXB3dze4//T0dDG/v/HGG2jXrp1Z52+K3NxcsffjkydP8Omnn+K9994Tv0uhUGDOnDk4ePAgMjMzcejQIQQFBUn2oQ6kbt26FQ8ePAAAtGnTBq+//jr+97//aV1ooCR1cKxOnTqlzrsk9XlrDlFPTEzE+fPnAQB3797F3bt3xffq1KmD7777zuS5CYmIiIiIiOjZVu4BNl3zr2VmZiIqKgpr1qzB1atXIZPJMGfOHHh4eAAAQkJCcOPGDXh7e+PHH39EjRo1xM/KZDJ069YNBw4cEG+Q1WxtbbXe/Hbu3FkMOGgGF3JzcxEZGQmgeKL5iRMn4vXXXxfnHgOK575KSkqCTCbDxx9/LOnhY2VlJRn2mpWVhSlTpiAnJwedO3fGkiVLJD1erK2tMXHiRBw+fBi5ubk4ffq01gBb48aNsWbNGkmPP5lMBj8/P5w6dQoADM7BFRYWht27d8PKygqLFy9G9+7dJe/LZDJ06tRJ8po6iGTq99+5cwfZ2dkAYDCoAQCPHz8WA0tjx45F06ZN9W7v4+MjDuM1RslFFvQxNnCmvjaWDqM05dzz8vLEnmbdunVDz549jfqOb7/9FhkZGahZsybGjRtXJudviGbvx+Dg4FJDM21sbPD555/j4MGDAIB79+6J7925cwd//PEHDh48iPz8fLi7u+P999/HwIED0aBBA6OPISMjQwz0GsoDubm5iImJAQBJmRETE4PPPvsMXl5eUCqVSEhIwN9//42HDx/iyZMnmDBhArZu3coVRImIiIiIiEhU7gE2zZv3SZMmad3Gzc0NM2fOFFdojI2NFYfPDR8+XBJcUysoKAAAnUMRc3JykJ6eDhcXF3GYqJqfn5/4/6tXr0qCAiUDTgDEud8EQcDevXvx+uuv6xxGt27dOiQkJMDV1RVz587VOpzMwcEBjRs3xvXr15Gamiq+rhns69+/v9YAWmxsLIDiIX76hmGmpKRg1apVAIqHyZUMrmmj2QPJ1O9XB5+srKz09hwDintMjRkzBpmZmRgyZAjeffddg8fm5+cnuW5lydjAWVkMozT13ENCQhAXFwdnZ2dMmzbNqO84duwYjhw5AgD46quv9M5XZsr5G5uOzs7OWn9HAFCzZk3Y2dmhsLBQstjB2LFjkZKSAj8/PwwdOhTdunUzayjmxYsXxYD+Cy+8oHfbiIgI8Rg082z79u3Rvn17ybYjRozA3LlzsX//fiQmJuLs2bN4+eWXzU4rIiIiIiIierZUWIDN2tpa0uPD3t4eDRo0QJcuXTBgwABJMGfXrl3ifGErV64UA0Wa1JOmlwwIHDp0CGFhYWKgCCheDVM9LNLV1VUyX5o6KODi4oKOHTtqPQfNydgXLFiADRs2oGfPnhg4cKBkdcL8/Hxs27YNAPDWW2/Bzc1NZ7qoAzSaaaIZ7NPVkyg8PFzv+2o7duxAfn4+HBwcxHnkDNHsgWTq96vTsVmzZnrn1Xrw4AFGjRqF5ORkDB482GDvqopgTOCsLIZRmnru4eHh2LJlCwBg4sSJ8PT0NPgdmZmZWLRoEQCgb9++OgNdpp6/KemoufpsSfn5+SgsLARQPNwSAJKTk8WFN6Kjo3H27Fn4+/tLhm0aSz0cHQACAgL0bnvy5EkAxT3r9C2EABSXX++//z72798PAKV6zhIREREREdF/W7kG2ORyOe7cuQMAGDRoECZOnGjU59Q3vk5OTjp7sTg7O5fqKbNs2TKEhYXB2toaXbt2RYMGDZCQkIBTp07hypUrAIpv/jWDCJpBAV3BBX9/f8ydOxc//vgjUlNTER8fj9DQUGzcuBGjR48WA1jnzp1Dfn4+AOliDSWpVCo8fPgQALTOf1a9enWtw1xNCfIcO3YMANCxY0e9AS9N5n6/sfOvhYeHY8KECcjOzsbo0aMxdOhQo47r1KlT4gqaxpgyZYrRq2wam6aWDqM09dwLCgowb948AECHDh2MXjE2ODgYaWlp8PDwwBdffFFm52+IZu9HffvRDHyrA2BeXl7Yvn07Vq9ejf3792Pnzp3Ys2cP+vbti6FDh0qC2Iaof1d2dnbw8vLSuV1hYSEOHz4MoHilUWN+I5qrFRsank1ERERERET/LeUaYLt69arW+df0USgU4uTmH374oWQBA302b96MsLAwuLq6YuXKlZIA0b179zB48OBSx6E5JNPQ8fXp0wc9evTA0aNHsWvXLly+fBmCICAkJAT9+vWDh4eHuC87Ozu9Q+3Cw8ORlZUFAOjatav4ujrA1aZNG609gIwN8hQVFeH+/fsAinuUGcvc7zdm/rUjR45g1qxZUKlUmDt3Lvr06WP0cUVERIg9Fo1hylDSiph/zZxzX7lyJR49egRHR0fMmDHDqO85deoUDhw4AACYNm2aUUGg8ph/Td9+jh49CgBwd3fH888/L75eu3ZtzJkzB0OHDsXPP/+Mw4cPY9euXdi7dy969+6NYcOGoV69egaPQ51PDAXM9u/fL/aaM7TSqNqtW7fE/zdv3tzstCIiIiIiIqJnT7kG2NRBCZlMJlkIQJ+8vDzxRt3Ozs6ozyiVSmzYsAEA8P7775fqfZWUlCT+XzMAZMyQTE3VqlXDa6+9htdeew3BwcHYvHmzeMxA8cqN6uPWNUQOgHisTZo0EVcf1Qz26QpSqdPT19dXXAxCm8zMTPG8bG1tjUpDzR5Ipn6/ofnXfv/9dyxduhROTk4IDg42ahEETaNHj8bo0aNN+oyxynv+NXPO/caNG/jtt98AFM9NZmilWKC4t+iCBQsAAK+88opRc+6Zcv7G7sfZ2VnnCpvJycniaqiDBw+W9AhTa9CgARYsWICPP/4Yq1atwvHjx7F3717s378fQ4cOxciRI/Ueh7rHa25uLgRB0Hqt5HK5OOy8Y8eOBucMVNuxYwcAoGnTpmjYsKHZaUVERERERETPHivLd6GbundM06ZNjR5S5eDgIAbWrl+/btRn7t+/Ly4WoO1mWTOIoGv+NUOrWJbk7u4u7rNWrVri/4HiG3j1wgglrV+/HmfPngUAfPHFF2IAwJhgn2aQRx9nZ2cxwKceummIMT2QdH2/rvnXBEHAsmXLsGTJEvj4+GDDhg0mB9fKW3nNv2buuRcVFWHevHlQqVRo164dgoKCjPq+77//HklJSXBzc8OUKVPK9PxN2U/Lli21BpeLioowc+ZM5Ofnw8fHB++8847e/TVp0gTBwcH45Zdf0LFjR6hUKnFhE318fX0BFM/1pjkcVU2pVGL27NlISUmBs7OzuJqrIatWrUJERASA4gUPiIiIiIiIiDSVW4BNc/41U4ae2djYiCv4HTt2DFu3bhWHmaqlpaWJc6oBxSuGqpWcfPz27dvixOSmzr9WUFCAI0eOiAsuqEVGRuL3338HAAQFBYk9cTQXSQgODpYEBAoLC7F27VqsWLECADBy5EjJSoWa859pC/aZEuSxt7cXA40nT55EaGio5BwUCgXOnTuH3Nxci79f1/xrRUVF+OqrrxAWFoaAgACEhoZWuV4/ZTH/2l9//YWhQ4ciLCysTM59zZo1uH//Puzt7TFjxgyjgl7nz5/Hrl27AACTJ08Wg7+WnH9GRgamT5+OkSNHIjk5We9+NHs/Xrx4ESdOnJC8HxsbizFjxuDSpUuws7PDN998Y3BlUzV/f38sX74ca9euRa9evfSmOwBJz72lS5dKhhanpKRg4sSJOHHiBGxtbbF48WKxd2BcXBxCQ0PFoc5qSUlJ+Oabb7B27VoAwOuvvy6udkxERERERESkVm5DRM2Zf03t888/R3h4OORyORYtWoSVK1fC19cXVlZWSE1NxePHj9GpUydx2GnTpk3h6OiI3NxczJ8/H7dv34anpyfu3r2LkydPijfNps6/9vvvvyMkJEQc9ubg4ICUlBRxpcJ27drhk08+Ebdv3bo1Xn75ZRw7dgwnT57EgAEDEBgYiKKiIly5cgUZGRmwsbHBmDFjMGTIEMl3GVqBUTPIY8xw27Fjx2L48OEoKChASEgINmzYgLp16yInJwdJSUkoLCzEzp074ejoaNH365p/bdKkSTh9+rS4Td++fbUe5+DBgzF+/HiT8kdZsXT+tYSEBHz11VdQqVSQy+XiNTX33KOiorBx40YAwKhRo4ya3D83NxfffPMNAKBbt27o2bNnmZx/SEiIuAhARESE3kU7NHs/+vj4YOLEiWjcuDHq1auHtLQ03LhxAyqVCs7Ozli4cKHRQzI1aX5GV7oDxfMHdu3aFf/88w/Cw8PRt29ftGrVCrm5uYiIiIBCoYCbmxsWLFggCXAvWbIEJ06cwIoVK+Dr6wtXV1ekpKTgyZMnYjn25ptvYvLkySYfOxERERERET37yi3Apg5KAMYFhDQ1btwY69evxw8//IDz588jMzNTHJ5lZWWFgIAA9O7dW9zeyckJc+fOxdy5cyGXy/Hrr7/CysoK3bp1w7hx48QAhGYQwZghkRkZGXBwcIBcLpf0mPPy8sLgwYMxZMiQUqucfvPNN1i2bBm2b9+OlJQUHDp0CEDxCoQvvfQSPvvss1I9xIwJ9qm/39fXF56engbTsEWLFvj555/xww8/IDw8HDk5OWJg0NnZGS+//LI4nNOYFSB1fb/6dc351zIyMsQAE4BSPQA1mRNsKSvqYzd3/jWVSiVef3Wg1dxzVygUmDt3LpRKJVq1aoW3337bqHNYvnw54uPjUb16dUybNq3Mzl89TNvGxsbg71dz/rV169Zh+vTpuHz5Mu7duyfuo1evXhg1apRR88kZoi3dNc2fPx9LlizBnj17kJmZKa5K7ODggDfeeAMff/yxJA8LgoBmzZohIiICGRkZ4gIhaoGBgRg2bJgkIEdERERERESkSSYIglDZB6FPbm4u4uLiUFhYCA8PD3h4eJQKaqnl5+fjzp07UCqV8PX1NXqonD4KhQKPHj1CZmYmBEGAl5cX6tata3DoXnZ2Nm7evIns7Gy4u7vD39/f6GFxZS0rKwtxcXEAAA8PD9SoUUPrBPNkuoyMDFhbW6N69eqVfShlKjY2FoMHD8bbb7+Nzz//XO+2H330EW7cuIGuXbti6dKlAIDo6GjExsbC0dERAQEBBlf1NJUx6Z6RkYHbt28jJycHXl5eCAgI0Lvoh1KpRHR0NOLj41FYWAhXV1c0a9ZMnFuRiIiIiIiISJcqH2AjooqVkZGBESNGwMXFBT/99JPeoFRubi5eeuklKJVKTJgwAe+9915lHz4RERERERFRhSvXVUSJ6OkTGhoKFxcXLF26VG9wDTBuqDURERERERHRs67c5mAjoqfT2LFjoVQqDQbXAOnqs88991xlHzoRERERERFRpWCAjYgkrKystK4kq2vbLl26oFmzZkZ/hoiIiIiIiOhZwznYiIiIiIiIiIiILMAuJ0RERERERERERBZggI2IiIiIiIiIiMgCDLARERERERERERFZgAE2IjOpVCrk5+eXej0kJARBQUEYO3ZshR3LjBkzEBQUhAULFhjcdtOmTQgKCsJHH31UkcllssuXLyMoKAhBQUF49OhRZR/OM8WSPHr9+nXxukRHR1f2qZQrXemUnJwspsGpU6cq+zDLXWFhIQYPHoygoCDs2rWr1Pu5ublm7Xfz5s0ICgrCkCFDoFKpKvs0y1VCQgKCg4Px1ltv4X//+x+mT59eqcfzrJSv/6U8pM3UqVMRFBSE4OBgkz9bWFgIhUJR2afw1LI0/cwtN6sqQRBw8OBBjB49Gr169UKPHj2wdetWAIBCoUBBQUGpz1SlOvZZKUueljb+0yQvLw/P0pT1KpUKjx8/xs2bNxEVFQW5XG7S5+Pj43HhwgVcunQJaWlpJn02Pz8fcXFxWu+fnyUVtoro6dOnMWnSJMlrMpkMjo6O8Pb2Rrt27dC/f380adKkstOEyKDY2FiMGDECqamp+PXXX9GoUSPxvSNHjiA2NhbPP/98hRxLYWEhjh07hsLCQvTt29fg9seOHUNMTAy6du1aaelnjLNnzyImJgbOzs6oW7dupRyDZrn19ddfo0ePHjq3PXToEObMmQMA+P7779GhQ4dKOWZjWJJH1dfF3t4evr6+lX0q5UpXOl26dAkxMTEA8J+os65fv4579+4BABo2bCi+XlRUhM8//xyXLl3CjBkzMHDgQJP2+/fffyMmJgYdOnR4plchPnfuHCZPnoy8vDzxtcoq09SqQvlaFv4reUibvLw8nDhxAgqFAm+88YZJnz1+/DhmzJgBNzc37N69+z+XdpayJP0sLTerosLCQnz55Zf4559/JK/7+vrixo0bGDduHJRKJXbt2gVXV1fx/apUxz4rZcnT0sZ/Wvz000/YsGEDevfuja+//rqyD8ci4eHh+PPPP3Hy5ElJgF8mk6FDhw6YPn06atWqpfWzKpUKBw4cwC+//CJ5uG5lZYUePXpgypQpcHNz0/v9N27cwIwZMxAbG4stW7agcePGkvfDwsLw008/6fx8t27dsGjRospORqNUWIDt4sWLKCoqKvV6YWEhMjIycOfOHfz+++947733MG7cOMhksjL53tWrV+PQoUPw8PDA6tWrK+p06Rm3Z88eJCQkQCaTwdbWVnw9OTkZsbGxAIDAwMAKOZbr16+jsLDQqO/My8tDZGRkhR6fNqdPn8bSpUsBFFdePj4+pba5dOkSAKBt27aV1tjRLLdat25t1LZWVlZo2bJlpRyvMSzNo5cvXxbTw8amwqqQCqcvndRpUKdOHa1591mjPl97e3sEBASIr1+9elX8nZr6Gy0sLMT169cBlE1ZVFXr+tjYWEyZMgV5eXno0qULJkyYgHr16lV6D4mqUL5aqqzz0NMmPDxc7EFl6vmHhYWJPQie1utfmfSl37hx4xAbG4uuXbti3LhxpT5rSblZVS1duhT//PMP7O3t8dVXX6F79+6wsbGBtbU1Zs+ejczMTDg4OEjaDFWpjn1WypKq0sZ/VhQVFSE0NBTA0/9bVSqV+PTTTyEIAmxsbFCrVi0oFAokJydDEAScPXsWI0eOxB9//AE7OzvJZ7OysjB9+nScO3cOQPEDwlq1auHBgwdISUnB4cOHERsbi3Xr1knuiTW/e8OGDVizZg2USiXc3NwkHVPUdu3apTVWpNaqVavKTkajVdjdkbqw9PX1xaZNmwAUZ9yEhAT8888/+PXXXyGXyxEWFgYAGD9+fJl879GjRxETE4OmTZtW1KnSf0DPnj2RkpKC7t27o169euLr6kYTUHGVm66bX200G+Tt2rWr6GQTnT59GjExMahRo4bWxlNVaSSo07Z+/frw9PTUu6362vv7+8PJyanSjtkQS/Los9IINYa+dFK/96yngZquoGrz5s0xaNAg1KlTB/369TNpn6Y8GDBGVa3rf/75Z+Tm5qJu3br49ttvUa1aNQCV21ivKuWrpco6Dz1t1L9LZ2dnPPfccyZ9dsiQIWjYsCHeeeedyj6Np5Ku9MvIyMDp06cBFAeHtLGk3KyKHj16hG3btgEAJk2ahN69e0veDwoKgp2dHfr37y9pG1WlOvZZKUssCbpTaba2thg9ejQyMjIwbNiwyj4ci1hbW6Nbt27o3bs3OnfuDHt7ewDF01dMnToVN2/eRGxsLK5cuSIZgZObm4tRo0YhMjISXl5emDVrFjp27AigeOj3okWLsHPnTty6dQv79+/HgAEDJN8bFxeHmTNnIiIiQnwtMDCwVEeqGzdu4MGDB3BycsK2bdvEtpImBweHyk5Go1VIgE0ulyMqKgpA8U29o6Oj+J6rqyuaNWuGnj174uOPP0ZGRgZ+++039O/fX2t00xQZGRnisJbKDCbQs6dRo0aYOXNmqdcro2eLKT2K1NtWr169Um9E1cehqwFQFRoJmuWWoWOojJ6L5rIkjz4rjVBj6Eqnp+lalwV9QVUnJydMmTLFrP2a8mDAkKpa1+fn5+Pvv/8GAPTt21drg7EyVIXytSyUZR56GlnSC7F79+7o3r17ZZ/CU0tX+qnzJKC7LLKk3KyKDh06BEEQ4OjoiF69epV6v3Xr1lpHAFSlOvZZKUssCbqTds/SXHba5ur08fHBqFGjMHr0aADF7SlNM2fORGRkJNzd3bFmzRrJlBI2Njb44osvcPjwYeTm5uKvv/6SBNgOHz6M+fPnIy8vD3369MG+ffsAaP9d79mzB0BxBxZDHRqeBhUSYAsPDxeHQ+gqLOvXr4+PP/4YS5cuhUqlwpEjR/DZZ59JthEEATExMYiNjUVBQQGcnJzw3HPPoUaNGlr3qfl0RF+ju6ioCPfu3UNiYiKUSiXc3d3h5+dXJpHSgoICpKamwtvb2+ThVDk5Obh9+zays7Ph7e0Nf39/kxtR+fn5YpRaU1JSEu7evQuFQgFfX180aNDA7HMsKipCfHw85HI5nJ2dUbt2bb3nWlBQgMjISKSlpcHFxQXNmzfXeoy6yOVyREZGIjc3F40aNSo1f0xsbCwePnwImUyGli1bwsXFxaj9pqSkIDo6GkVFRWjYsKFZ89IY89RNoVDg9u3bSElJQfXq1dGiRQujzj8uLg7379+HlZUVnnvuOXh6eprco0hbg/zhw4d49OgRbG1t4e/vb3AMvaU0b4Z1HbO2RoL6+uTn56NRo0aoX7++we+6f/8+Hj9+DFtbW/j5+eksK7Qxptwqma6GtjX32msq+Zs2tfwyJo8WFRXh5s2byMjIgKenJwICAmBlZWVRIzQzMxNRUVHIzc1FzZo14efnZ9JUAOpeNxkZGWaVh2WVTpb2Uk1LS0NycjIAoGbNmlp/b6bWddo8fPgQjx8/hpWVFQICAuDu7q53e0EQcPfuXcTFxcHZ2RnNmzeHg4ODxUHVrKws3L59G/n5+WjQoIE4b5++BwPlVdermVr/KZVKJCUlITs7Gy4uLqhZs6ZReTc8PFwcRta5c2eD21taN6rpqvfVyqp8NSUdLcnT5uQhQyqi3SKXyxEdHY309HTIZDL4+PigSZMmRh2roePLy8vD7du3Afz7u1SpVIiMjERSUhKcnZ3Nql9KMnWfSqUSUVFRSExMLFXHZWRk4MmTJ2jevLlJx2Bu28zcOic1NRWpqalwcHBArVq1TMpb6rLIw8PDojlK1eVxfHw8qlWrhmbNmhksw0sytQ4w97zPnj0LoLhdaUp+s7SONec+pjzKElPamZaUCYIgICEhARkZGbCzs0OdOnVKpbeuNr4p+aCsmNretSRtNBmq/9QKCgoQHx8PhUIBDw8Pi9PFnDoUMK5NaG6aGktzWKdmsPvAgQM4ceIEAGD27Nlay15HR0f4+/vj8uXLuH//vvi6SqXCggUL4OLigh9++AGPHj3SGWArKCjAoUOHAKBUD7inVYUE2DQLy7Zt2+rcrlu3buK8TOqGg9qaNWuwa9cuJCQkSF6XyWTo06cPvvrqKzGDREREYNy4ceJNAfBvBNrOzg779u2Dra0t5HI5goODcfz48VIraNjb22P06NEGu88fOXIE33zzDQBg9+7dpYI53377LXbv3o1ffvkF/v7+kvdCQ0MRGhqKnj17Ytq0aeLrjx49wqpVq3Ds2DHJCkW1a9fGggUL0KJFC8l+Vq1ahc2bN8PV1RU7d+7E48ePsXHjRhw9ehRjxozBm2++KW574cIF/Pzzz5KumurrsmjRIpNu4M6fP4/NmzfjwoULktWBnJ2dMXjwYIwcOVKy/ZMnT7B+/XocOnRIsnqIg4MDPvzwQwwbNqxU4+fcuXP48ssvxfP8+++/8dtvv0kmix4xYgQ++eQTPHz4EIsWLZLkNwcHBwQHB+P//u//JPsdMWIEIiMj0bVrVwwbNgw//vgjTp48KZkXp3379pg/f36pQvePP/7AihUrYG1tjT179og9Mg09dZPL5diwYQO2bdsmyW8ODg6YOHGizoluz58/j5UrV+LGjRvia9bW1njnnXfQpUsXk+Zf02yQnzt3DiEhIeJQIaB42NKgQYPwxRdfiJXz1q1bERISAgDYuXOn1sI/JycHH374IVJSUjBr1iy8/PLLpbYpKipC3759JRNrLlu2TNz3Dz/8IE50q9lISEpKwvfff4+///5bcn1ef/11fPXVV6W+RxAEbN++HZs2bcKTJ0/E12UyGYKCgjB58mRYW1vDEFNu2tWNM2tra61Pak299pr5fv369fDy8sLvv/+O3bt3o1WrVliwYIFZ5ZcxeXTt2rXYvn275DrVr18f3377rVmN0KtXr2LdunU4f/68ZBUmHx8fTJo0SWsvAHWZ5uLigi1btmDNmjXYunWr5JgCAgKwYsUKODs76/3+sk4nc3oAZmRk4M8//8S+ffvE/Wqex5w5c8Qe26bUdUBx9/1+/fpBqVTi888/R5MmTbBkyRLcunVL3MbW1hbTp0/XOhxJpVJh+/btCA0NlXyns7Mzpk2bJk40XTKoeufOHfEh2LfffluqjI2JicGKFStw/PhxKJVK8fVOnTph1qxZOh8MlEddr2Zq/ffgwQOsX78ef/31l6QudnZ2xqBBgzBq1Cit11t9XJpziYwYMUKs377//nu0adNGfM/SulFXGaGLJeWrOeloap62NA/pUxHtlrt372L58uU4f/685LgBwNvbG/PmzdNZpxh7fOHh4eK+AwMDsWvXLqxevRqJiYniZ2rUqIHly5ejWbNmku+YPn06zpw5A39/f6xcuVJrnlq7di1u3rxp9D4FQcC+ffuwevVqxMXFia+7u7tj3LhxOHXqFI4ePYpGjRphy5YtOq+PJW0zNXPqnMzMTPzyyy/Yvn07srKyxNdtbGzQvn17LF26VKzztKXfxo0bsWHDBrFtmp6eLn5PmzZt8P333wMwXG7m5uYiLCwMW7dulazOZ2VlhZ49e2Ly5Mml7jMsqQNMOe+SJkyYgKtXr4r16rlz58RzVpe/K1euxPbt2+Hp6SmuKApYVseacx9T1mWJqe1MS8qEhw8fIiwsDMePH5f0LrK2tkbnzp2xcOFCVKtWrVQbPyIiwqS2gKYZM2bg1KlT8PX1FecgKykyMhKjRo2CnZ0dNmzYIE6Ob2p715y0MeW+t6SzZ88iNDRU0tsUKA5uTZw4Ubx/UalU6N+/P+RyOd555x0MHz5c3FZdTr344osYPXq0yXWoKW1Cc9LUVOq0cHJyEtt5CoVCvD/r1KkTunTpovPz6oVLNNvod+7cwYsvvoipU6fC2dkZO3bsAACt86+p2+dNmjQx+QFMVVUhATbN+dc8PDx0bqdZkJZcvnr//v3Iy8tD69at4eXlhbS0NFy9ehUqlQp79+6Fn58f3n77bQDAtWvXoFAoxEa3jY2N2Dhu0aKF2JDLy8vD3r174ePjg4CAALi4uODRo0e4c+cO8vPzsWTJEgQGBurtZmtjYyNmds1GPlA8nGr37t0AiiPbmjIyMrBhwwYUFBTggw8+EF8/fPgw5s2bh/z8fDRr1gzt2rVDTk4O/vrrL8TFxWHcuHHYtWuX5Kby7NmzkMvlaNeuHXbs2IElS5aIDTN1oSQIAn744QdxjrtOnTqhadOmePz4MY4dO4YrV65g5syZelfvUMvJycHXX3+NI0eOiGng6+sLmUyG2NhYyOVy1K5dW/KZvXv3YtGiRcjPz4eTkxO6dOkCW1tbXLx4EXK5HKtWrUJWVha++OILyecuXLgAuVwOW1tbLFu2DA8fPkSnTp3E6w8A69atQ0BAAKZMmYLatWujR48eiI6OxsOHD5GXl4eVK1dKGjG5ubm4evUqlEol4uLi8O6778LV1RVdu3aFIAi4fPky5HI5Lly4gOnTp0saoEBxI0Iul8Pf318y3FnfU7fo6GiMHz8eCQkJ8Pb2xquvvgo7OzucOnUKsbGx+Oabb+Dr61sqOBMSEiJWbi4uLmjTpg2sra1x48YNscIFjJ9/TV15nTlzBkuXLkWTJk3Qo0cPZGRkiGmyefNmuLm54ZNPPgFQ/LtU5/HHjx9rDbCpr02XLl20BtcAICoqCjk5OeLvRH1TolAoYGdnBz8/PwDSQCAAvP3223B1dcVLL72E9PR0XLlyBQCwY8cODBgwQBJwlsvlmDRpEi5dugR7e3v06tUL3t7eiIiIQEREBLZu3Qpvb298/PHHBvO5OfOv+fn5lZp/zZxrr873Li4uyMrKwpgxY5CUlATg3wCCOeWXvjz64MEDjB8/Xmws+vv7o379+khOTkZ4eDjGjh2LzMxMrZ/VRqVSYenSpdi8eTOA4sZLy5YtkZ2djcuXLyMhIQGTJ0/Gd999V+qGR12m1a1bF0OHDkViYiLatWsHpVKJy5cvIz8/H7du3cLWrVsNdt8v63QydW6YEydO4OuvvxYbxh4eHqhRowYyMjKQnJyMrKwsyTyOptR1QPHNpPq6REREYNGiRWjWrBl69OiBBw8e4N69eygqKkJwcDB69+4tuVnKzc3F5MmTcf78eQDFNzT+/v7Iz8/H5cuXMWvWLHh7ewMoHVRVl91WVlalGkRHjx7F7NmzkZ+fD1tbW7Rt2xbu7u64f/8+zpw5g08++UTng4HyqOvNqf8uXbqEcePGoaCgAF5eXqhfvz6ysrIQFxcHuVxeavUrTerjUtfD1tbWYtlrY2Mjedhmad2or4zQ9Xswt3w1tx1hap62NA9pU5Htlnv37uHMmTNo3Lix2BMoMjISCQkJSEpKwrRp03DgwAHJ78nU41PXT9WqVUNoaCiOHz+ONm3aoHnz5rh27RpSUlKQlpaGkJAQLF++XPycSqUSy9eSQTJ1nqpWrRrWrl1r9D4BYO7cudi7dy9q1qyJcePGwc3NDTt37kRERATmzJkDa2tr1KtXD6+88orOa2Rp28zcOiclJQUff/wx4uLi4OTkhNatW0OhUCAuLg5paWnw8fERr5Wu9IuIiEBRUZHkd65ZFqnpKzdv376NKVOmID4+HtbW1ggMDESNGjVw8+ZNxMXF4cCBA4iJicH69eslecfcOsCU8y5JoVDgxo0bkiCwtvL3zJkzkMvl6NSpk+Tz5tSx5pY/ZV2WmNPONKdMEAQB69atw9q1a8V0rVOnDhwcHJCYmIjs7Gw4OzuLUw9otvGjoqKwbNkyo9sCJXl5eUEul+Pu3bsQBKHUQ4SioiLMmTMHWVlZGD9+vBhcM6e9a07aGHPfq01oaKgYNFLHJFJSUhAXF4fU1FRJ3Xznzh3xoZDmb1WznMrJyTGpDgVMbxOae/9orIKCAuzatQsA8Oabb4oLHBw8eFB8uKIZp9BGHbPR7E3n6+srWXVVc2qgkvlJPTxUJpNh4cKFcHV1RfPmzdG5c+endzE1oZxlZ2cLL7zwghAYGCgsXLhQ77aFhYVCYGCgEBgYKEycOFHy3u3btwWFQiF5LTIyUtz31KlTJe+lp6eL+/rzzz91fl9UVFSp13///XeDn1U7f/68uG1cXJz4ukKhEN59913xvW3btkk+t2TJEiEwMFBYsmSJ+NqxY8eEdu3aCYGBgcLmzZsFlUolvnfv3j3h//7v/4TAwEBh//794us5OTlC+/bthcDAQOH1118XAgMDhWHDhgm//PKL8Pfff4vbBQcHC4GBgUL37t2FK1euSI5l+/bt4nEmJCQYvJ7q8+rWrZuwZcsWIScnR3w/Ly9POHjwoKBUKsXXtm3bJu5/6dKlku0zMjKEIUOGCIGBgUK7du2EmJgYyfd98MEH4mdXr14tFBUVie9999134nvdunUTDh48KL5XVFQkvPXWW0JgYKDQo0cPyT5Pnz4tfq5nz57C4cOHJcebnp4uvPnmm+I2Dx48EN9TKpVC9+7dhcDAQOH777+X7Pfrr78WAgMDhf79+0tef/z4sfDyyy8LgYGBwuzZs4Xc3FzxPblcLrzxxhtCYGCg8PXXX0s+99NPP4nHsGLFCiEvL0+Sv77//nvx/dGjRwuGLF++XNz+/fffF27cuCF5/+bNm0Lnzp2FwMBA4dVXXxVfj42NFT+3b9++Uvs9d+6ceA2SkpIMHsegQYOEwMBA4csvv9T6/pkzZyTXdf/+/ZLfwsaNG8X39+zZI75eUFAgfPjhh0JgYKDw3nvvCfHx8eJ7KpVKmDFjhhAYGCgMGDDA4DFqllvDhw8X/vnnH53/Dh48KB7PDz/8UCbXXp3ve/fuLXTu3FkYOHCgsGLFCuHQoUNCZmamLfMHtgAAgABJREFUIAjmlV+68mh8fLzQs2dPITAwUAgKChJu3rwpef/u3btC7969xf1GREQYTMOvvvpKCAwMFDp37izs2LFD8hu7c+eO0K1bNyEwMFDo06eP5Ppqlmnt2rUTQkJCJHn/xo0b4nHMmTPH4HGUZTolJiaKn9m7d6/B7969e7dYpo8dO1a4fft2qXS9fv265DVT67offvhBPKagoCDJ/lQqlTBu3Djxfc3fRFFRkfDpp58KgYGBQteuXYUDBw5IrkNGRoYwfPhw8bPr16+XfO+ECROEwMBAYciQIZLXT506JV6/CRMmCMnJyZL3//rrL/H9zp07S8p0c87fmLre1PqvsLBQzO8rV66UpItSqRQuX74seU2bvLw8sc7etGmT1m3Kom7UV0ZoY275ak46mntNLc1DJVV0uyUpKUlITEyUvFZUVCRMnTpV3Of9+/ctOj51XRcYGCiMHz9eUvfK5XLhlVdeEQIDA4V+/fqVuhbqz508eVJrnjJ1n3/++afYBtXMe9nZ2eJv4MyZM4IhlrTNBMH8Okd9XUaPHi2pawRBEKKjo4WUlBSj0u/IkSM6j01NV7l58+ZNoWvXruJxlLyfUNdJgYGBws6dOyWfNbcOMOW8dVG3U7t27VrqN56RkSF+79atWyXvmVPHmlP+lHVZYm4709QyQRAEYe7cuWIZExwcLPm8SqUSTp8+LXlNs41vSj7QZteuXXrvC9XX/aOPPhJ/Z+a2d01NG2Pve0u6e/eu0K5dO6Fdu3bC2bNnJe/l5eUJ165dk7wWFhYmBAYGCi+88IKQnZ0tyVPm1qGmtgnNTVNThISEiHlWc/+fffaZ1t+oNkFBQUJgYKAwdOhQre8/efJETJMtW7ZI3ktISBDTpOS//v37a22/Pw3KfRkrU+Yxevjwofj/knMX+Pn5lRrW1axZM7FHXMl5dIyZaNTW1lZr7zTNuVIMjW3W7MGkORxk69atiIqKEo9ZswdbQkIC/vzzTzg7O4urkiQkJGDOnDkQBAGjR4/G4MGDJRFezfHc8fHx4uvqKLr6+1etWoW1a9diyJAh4hO6EydO4Pfff4dMJis1NAUAXnrpJcmx6TNz5kxERUXBw8MDGzduxKBBgyRpYG9vj549e4rDC69fv47FixcDAEaPHo0JEyaUWuRiwoQJACAuE6yWm5srDl/89NNP8emnn0oi2Zp5ZNGiRejZs6f4t42Njfi0t2R3cc35ZzZt2oRXXnlFMpeTm5tbqSdPanfu3EF2djaA0vlK/dRN83WVSoVp06YhMzMTHTt2xMyZMyV51cnJCe3bty91XS9cuID169cDKF5Rd+TIkZK8aG1tjZEjR4r5y5h5h9TH9/zzz2Pt2rWlnp4GBASIE9SmpqaKT1dq1aolPiF79OiR5DPqp+5A8epRXl5eeo/BlPnXHBwc8PPPP6N3796S34JmTz3N3nQhISG4ceMGvL298eOPP0p6xMpkMnTr1g2A4TwOSMutS5cuYcKECTr/aXYB1zwnc6+9Zr7PyMjAhAkTsG3bNowcORKvvvqqODzEnPJLWx4VBAGzZs1CSkoK6tSpgzVr1pTqDdmkSRP07dtXvC6GekuGhYXh4MGDsLGxwY8//oiBAwdKfmNNmzbFe++9J14Pzd+YZpn21VdfYfTo0ZLzaNasmZgfjJkvsKzSCZDWK4bqs+vXr2P+/PkQBAHvvfcefvjhB7GXpma6lny6aW5d17hxY6xfv16yP5lMJvlOzaFFa9euxZUrV2BjY4Ply5ejV69ekt+Zq6srhg4dKv5dslxT9yDWTIe0tDTMnj0bSqUS3bt3R3BwcKnenz169BCPUdtQ47Ku682p/y5evIikpCTIZDJ8/PHHknSxsrJC27ZtDc7lFBERoXchgbKqG/WVEdqYW75a0o4w5ZqWRR4qqSLbLUBx7w91z081Gxsbycpsmuds6vHl5uaKvRBfe+01LF26VFL3Ojk5ifNRlSwj1dffyspK0uNBM0+Zsk+VSoV169aJaaWZ95ydncXeECWHfmljSdvM3DonJydHXIjk/fffL1UXNG7cWDLyRlf6ab5Xo0YNrfOv6So3s7KyMGXKFOTk5KBz585YtmyZ2CMIKG7vTZw4UcwT6lVKS36vKXWAqedt6JqpR1doUvfkKXm+gOl1rDnlT3mUJea2M00tE8LCwrB7925YWVnhu+++w8SJEyWfl8lk6NSpk+Q1dZqa2hbQpmHDhuL/Hz9+LHkvMjISGzduhJ2dHWbPng0rKyuz27vmpI0x973aHDhwAIIgoFWrVpJ9A8VlbMuWLSWvqfNis2bNJKPGzK1DTW0TWpKmxjp27Bg2bNgAW1tbzJs3T9y/elQTALz44ot695GbmytOJaJrxJ++HqsxMTH47LPPMGPGDEybNg1Dhw4Vy88nT55gwoQJkmmhnhbl3u/O2PnXgOKbWjVtXR0LCwuRkpICOzs7eHp6Ijc3Vwxclezqbqii05STk4P09HS4uLiIw4fUSmb+krQF2NLS0rBy5UrUrFkTHTt2xM6dOyUBtlWrVqGoqAgjRowQxy2vXr0aOTk5qFu3Lt5//32t36Xu/qr5nZqrQm7YsKFU5aFUKvHDDz8AAHr37q01XTXnFSk5vE3TP//8g5MnTwIoHg5gaEJRQRCwePFiKBQKBAYG6hy2olmopaamiv/XLEQ1K0819XVyc3MrNY8FAPEHXzIYoE6ztm3blirU1TS75woac3joalwlJSVpnU/iwIEDuH37NqytrTFp0iStc3+VvK6CIIjzdbRr1w5DhgzReozXr1+XzMGij2aD/OWXXxYbvSVpm8DSysoK9evXx927d0vNFbBs2TIkJCSgc+fOYgBGH2MC3+oy44UXXij1uwYgOQZ1d+7Y2Fj88ccfAIDhw4drnYND2+9HF81yq2RFXFJUVBTS09NLzb9mzrUHpPk+ODi41NCKkowtv3Tl0b///ltsCM+ePVvnvDbq8vn555/X2whNSUnBqlWrAABDhw7VWe6X/N03adIEgPQmq3///qU+Fx8fL/4mTVlowdJ0Av7NF3Xr1tU7/5pm2ff8889j3LhxRh8nYHxdp3lT3L9/f62NZvW5+Pr6SuaL3LRpEwBg2LBhaNWqldbjUF9zBweHUkMntD1oWLduHTIyMuDq6opZs2ZpXYSisLBQLIt0lQFlVdebW/+ph0kLgoC9e/fi9ddfN2lBDs3jcnJy0jpfVVnVjcaUEZrMKV/Loh1h7DUtqzykVtHtFk3p6enIycmBp6cn7O3txTLH1dVVLD9MPT5AOhTs3Xff1Zo31ddRV/un5E2jZp4yZZ+PHj0SJ+hW3+yp3b17F7m5ueLk6oaY2zazpM5RL3oDFK+G+fzzzxu1QEjJ9NN8T1d7TF+5mZCQAFdXV8ydO1dr/erg4IDGjRvj+vXrkvxmbh1g6nlrk5+fj5s3b+o8Z3V6lFzwwdQ61tzyp6zLkrJoZxpTJmjm5w8++MCo1X412/im5ANdSgbY1GmjHhqqVCoxevRo8bqa2941NW0Aw/e9uqjr9Xv37uH69eulAmqadAXDNb/flDrUnDZhWaSpPmfPnsXMmTNhZWWFhQsXStqBFy9eFDsZvPDCC3r3ExERIZbFuoapqtNM2/xr7du3L1V3jBgxAnPnzsX+/fuRmJiIs2fP6px+qKqqsACbofnXAIhzT1SvXl0SMLl58ybWrFmD8+fPi0GsunXr4qWXXhIvqq6nIPoCD4cOHUJYWJhkPhLNit3V1VXvPCuA9gDbDz/8ALlcjlmzZokFhLohee/ePezbtw8+Pj7inCM5OTk4ePCguJ2uySfVjRjNY9I8T22FzMWLF8VjOHXqFHr37l1qG/VTdmtra72rnvz2228Ain9AhoIOQPHTK3XafvrppzpvUDRf1xY8dHFxQdOmTUt9Tl34aetNkJqaKj510cwDmpWQvryhOdlrnTp1Sh1TycaVruj8tm3bxP+PGDFC63ep585QX9dLly7h7t27ACDOg6aN5lOUkgtolFRyQmRd1I0/R0dHMfgLFFe2d+/elQQlzp8/jx07dsDZ2VnnRJ66jllX4NuY66O+7pplyq5du8R8vHLlSrFxokn9BKRk4a6N+nrWr19fnK9Bl4EDByI9PR3+/v6SG0tzrr1mGrm4uKBjx446v9fU8ktXHlX/rtu2bavzxqSwsFBcZMNQI3T79u3Iz8+Hg4ODzuBwSdp+95qrYGlSX3/1NoaUVTppHpuhgPbVq1fF7xsxYoTRq52aWtdp3hTrOiZ1kKxkuVRYWAgHBwexV4c26vMtGVTV9qAhLy8PO3fuBAAMGjRI5xPya9eu6ZzvpqzrenPrP80n/wsWLMCGDRvQs2dPDBw40OgVDA317CirulFfGVGSueWrJe0IU65pWeShkiq63VJQUIBff/0VO3bsEHsV2NjYoHfv3mK9rllumXp8gPZVYDXFxcWJ7UXN7zLmptHUfWoGNjIyMlC9enUAxflhyZIlAIpXhTO0gJYlbTNL6pzatWvD3d0d6enp2L17N44dO4aXXnoJAwcOFBddMib9TOmdr1lu5ufni22Ft956S2+vbHWe09Wbx5Q6wJTz1sVQL11zVgnVVp6bU/6UR1libjvT1DJhx44dYn42NMesmjFtfG35QBdnZ2d4eHggNTVV0u5fu3YtoqOj0aJFC0nbwdz2rqlpAxi+79WlRYsWOHLkCORyOYYOHYqAgAC89tpr6NOnj1huqekKhmsGtE2pQ81pE5qbpsY4cuQIZsyYAQCYN29eqSBuVFSU+H9DD0fUD4hsbGx0LoSgb/41baytrfH+++9j//79AIwbeVTVlGuATS6X486dOwAM35TdvHlTvAD9+/cXJyf++++/MW3aNCgUCrRs2RKtWrWCXC7H+fPn8csvvwAojohqZi5jKrply5YhLCwM1tbW6Nq1Kxo0aICEhAScOnVK7M1hzDAQzYquqKgI4eHh2LdvHzp27IiXX35ZXORA3TD56aefIAgCRowYIQ67O3/+vFjA66tcfXx8JBOjGvND18z4uiLc1tbW8PHxQdOmTXX2bMrIyBCvj75JajWpu5+7ubnpvRHWXNZXW6BB23WQy+ViAaDvyVnJ940NNKlX3alWrZpYURrTOK1bty5q1qwpptm1a9cAFN8I6Vq5Ut3wVO9TnW7u7u56003Xza++bXU1ntXUTyMDAgIkaa5+mqWuaDWHhn7xxRc6nzbrOg59DQBD10fbPtT53MnJSWdaODs7w9nZ2WBvD81yy1BDRNdKWOZee83z01f+mFN+acujaWlp4kpcPXr00HmepjRC1fm3Q4cOenvEPnjwAEDxzYY6fxlTphm7aE5ZphOg/6l7SceOHQNQXPYZ05hVp5updZ3mk1xdN8XqhknJXotA8STRuuoFfUFVbQ8azpw5Iz5N1ZeXdD0YKI+63tz6z9/fH3PnzsWPP/6I1NRUxMfHIzQ0FBs3bsTo0aMN3vQY6tlRnnWjPpaWr6amo6nX1NI8VFJFt1vy8vIwbtw4XLlyBc7OzujTpw/c3d1x7949cRJnzbQ15/g0z1/XQwhdAQx9U1yYu8/GjRvDx8cHCQkJmDBhAoKCgqBQKLB79248ePAAnTp1wuTJkw2ekyVtM0vqHHt7eyxbtgzz58/HnTt3IJfLsWfPHuzZswddu3bF4sWLxTaFMemn7b2S22iWm+fOnRODlPryvEqlEqfRUff21tynqXWAKeeti75eupmZmYiOjtZ6PU2tY80pf44ePVqmZYnmcZjSzjS1TAD+bT907NjR4CrpJc/D1HygT8OGDSWdFSIjIxEaGgpbW1vMnj1bbNea2941J22MaSPq8s477yA1NRVbtmxBYWEhbt26hVu3bmHlypVYvHixpGOPrtFKxgS0tdWhprYJLbmHMGTz5s1YsmQJHBwcsHjxYq0PdtRljZ2dnd6pfwoLC3H48GEAxe1JbfnVnLwHQHLOhoY0V0XlGmBTrxIF6E9UhUKB4OBgAMWFk3qOhcjISLFxNm/ePLz22mviZ/Ly8vDWW28hISEBbdq00XqDBGiv6DZv3oywsDC4urpi5cqVksLo3r17GDx4sMFjVtOszAsKChAcHAxbW1tMnToVwL+ZPyUlBREREfjnn3/QtGlTybmoo/S2trbYs2eP0Q1mY37o6n0HBgYatUKoLnfu3BGfNmvrEquNuhBs1qyZ3mj9iRMnABRX+OquqIYKUUNz+6nzQK1atSRzWRgbaDp69CiA4nma1IFQYxpXmseiblwAxcN4jH0qqL4x8/Pz05lupvQo0jw+XY1noLh7tjqAWHJIrrq3mVwuR0ZGBlasWIGEhAR06tRJ6zA+bUx5wmtKI0GhUIgN5w8//NCoFUL1MbbcAnTfdJh77Y1pPJhbfmnLo7dv3zZquKWxjdCioiLxxtNQY1X9u2/btq1YKZvbeCnvdAL0P3UvSX0Nn3vuOaOeVFpa17Vp08bom+K8vDyjrpGuoKquBw3qcsve3l5vL1FtDwbKq663pP7r06cPevTogaNHj2LXrl24fPkyBEFASEgI+vXrpze4a6hnR3nWjfqYexNmTjqac00tyUPaVHS7ZdasWbhy5QoCAgIQEhIiuSn4448/xHnd1HnVnOMzpqeXrocQxsy/Zuo+bW1t8dZbb2H58uV4+PCh2GvN09MT48ePx+DBg8UH5vqY2zaztM4BilcI/O2333DhwgXs2bMHhw8fhlKpxD///IPjx4+LAZrymH9Nne52dnZ683x4eLjYe69r166lvteUOsDU8zZ0zUydf83UOtac8qesyxJz25mmlgma+dnYMqHktTA1H+ji6+uLS5cu4fHjx5KhoSNHjpQMITW3vWtq2gDGtRF1sba2xrhx48SeUdu3b8ejR4+Qk5OD4OBg/Pnnn6XSU9f8a6bWoaa2Cc1NU30EQcDy5cuxadMmeHp6YtmyZTqnwVL3xDQU4N2/f784X7eulUbNyXvAvw9TAJSaM/xpUK4BNs3Gr74ngcHBwbh+/ToAYPr06eLQtNDQUCgUCnTs2FHSOFNTD7ss2bBWF+y65mTZsGEDgOKJPUv+QNTL3Gvbr9YEtLERl6YOCwtDdHQ0Pv30U3EYibohkpaWhh9//BEAMG7cOMkPTB20sbGxMelptKEhlJr7NqaBo09aWpr4f2P3pf7RlZyUWpNcLhfnNOjXr584B4ShQlT9gy3Zo6Fk2uiq2PUFmk6cOCFW6O+8806pzxo7/5pcLhf/r6tnoDbqbtL6Ivam9CgydujFhg0boFQqUb16dfTp00fynmZlunXrVmzfvt2koaGAtMFl6AmvKU/R8/LyxLxiSjrrYsyT6JLblpx/zdxrbyjfm1t+6cqjmhOjluwir+08DTVCs7KyxOPX97u/fv26eC3ffPPNUt9j6VPYsk4nzWMr+dRdG3V5aWxZaU5dp3lTbOj3pHlTnJiYKN7UGzsZvjHzr6nzkrOzs856TNeDgfKo6wHL679q1arhtddew2uvvYbg4GBs3rwZAAxOuKuvZwdQvnWjMcdlai8lc9LRnGtqSR7SpiLbLffv3xd7Uk2ZMqXUb0td5mi2Wcw5Ps2eXoZ+97rKMH3zr5m6z7Vr12LVqlX4+uuvERAQgPT0dLi6uqJBgwZGD43X3L+pbTNL6xxN6rmA/ve//2HSpEkAinvrG0o/4N+yyNT519LT0wEUtxP0pZe6PmvSpIk4wb+5dYCp561Necy/pquONaf8KeuyxJx2pjllQmZmpvg9xp6vZhvfknxQkvq6xcbGYs2aNYiOjkbz5s1LzRNuTnvXnLTRPA99972G1KhRA0OGDMHgwYPxySef4ObNm8jNzRXfN2a0kql1qKltQnPvIXRRB0gPHTqEJk2aYNmyZXrnEVa383NzcyEIgtbfkFwuF4dJd+zY0az51/TZsWMHgOIFajTvQZ8W5bqKqKH51+RyOWbMmIGtW7cCKJ5v6tVXXxXfP3/+PADtk+aFh4frfEKsDtZpu0G7f/++OEGotv1qZgRjxzSruyyfOnUKdevWlQwfUfdgUyqViIiIQIcOHUp1x1QPC83Ly5OsimSIMcNE1PuOjIwU08scmvNxac6BpI/6u6OioiQLBagplUpMnz4d6enpcHNzw6efflrq3HQVouq8pe3cU1JSxO6tJW9I1ZWQrkm9ExISsHDhQgBA9+7dJSsVmTr/WsnVY4ylPh/1Ig3aqOfsM3X+NV1PQc6ePYvff/8dQPHkrSUbj/Xr1xcrk59//hlA8eqmhgINmtRpUK1aNa1z/Zn7ZN7BwUGsgExJZ13U17NBgwYG53dQb+vv7y8ZumDutTeU780tv3TlUc3fjq78Fhsba3Qj1NnZWXySrW74l5Samopp06YBKP79aj4lN7fxUt7ppPkZY4Ia6sbirVu3xGEq+phT15VFbz9d1zwvL0/s7WHM/GvAv3kpLS1NvCEq6ejRo1ofDJRHXQ+UXf0HQFz8w83NTdIrWl+6a+vZoXlc5VE36mJJzydz0tGca2pJHtKmItstFy5cAFB8Y1JyZWBAe5vFnOPTfAih7frreghhzE2jqft88uQJfv75Zzg4OOB///sfGjRogNatW6Nhw4YmBdcsaZtZWudoo1l/q3t260u/3Nxcse2uqyzSVW6qv0sul4uTsJe0fv16caXaL774Qsw/ZdnjW9d561JR869pHpcp5U9ZlyXmtDPNKROcnZ3F346xZYK5Q/8NUQc1CgoKxJUmNYeGqpnT3jUnbTTPw9TpEbSxtbUVR6EZ8xDRkp6+prYJzb2H0EYul+Pzzz/HoUOH0KFDB6xdu1ZvcE19/EBxIF1z/mI1pVKJ2bNnIyUlxWBnC1PnXwOKF4NUT1+ja/65qq7cAmya8xi1bdsWCoUCCoUCWVlZuHbtGlasWIGBAwfi4MGDsLKywvjx40slovoJSsnJ7VJTUxEaGgpAeyAsMTERQPFTD/VQr5L71Lbf27dvixPqmfLj1byxnjRpkjikEIBkYleZTIaxY8eW+rzmnFBz584ttdyuSqVCeHi45GmnscNEOnfuDKA46LRw4UJJlB4o/vGcOnXK4DlqrjC0Zs2aUp+Ry+U4c+aM5DV1IDE+Pl58+qaWlpaG6dOn48yZM7C1tcXChQslaWVo/jV9c2QZM//atm3bxCCc2qVLl/DJJ58gJSUFtWvXFieAVF8DU+ZfA4obKJqrxGqrLB8+fCjpCgz8O79GZGSkZB4CoDjYMWnSJHHyVlPmXwOKCy3NJyNKpRLbt2/HpEmTIAgCunbtKg6d02RnZ4fatWsDKO5m3KFDBwwcOBCmUP8ulUql1gaPuY0EGxsbcQWaY8eOYevWraV+92lpaZIedLqYMv+aviex5l57Q40Hc8svXXlUcy6X1atXixOmAsVDIvbs2YMPP/zQ6EZotWrVxN7Khw4dkjSmgeKhHqNGjUJCQgJq1qyJBQsWiO+V5fxrZZ1Opsy/BkCceD49PR2zZ8+WpCtQ/NvWnDjYnLrO3JviunXrimX5rl27JJPZqvc7dOhQnfOn6nrQoM5LKpUKy5Ytk9wIyeVyhISEYPbs2QBKPxgoj7oeML3+KygowJEjR0rdxEVGRooPIIKCgnTOh6Lep76eHUD51Y36WHITZk47wpxrakke0qYi2y3qelWlUon5Uk29GlzJtDXn+Ex5CKE5cqSs5l/T3Kd6ioG8vDy88sor6Nu3L/r27Yv+/fvj3XffxZw5c8RyRB9L2maW1DnHjh0rVTZnZGRg2bJlAIqDw+qyVV/6JSUlicHYkvsrmcYly03NRUqCg4MlN9+FhYVYu3YtVqxYAQAYOXKkZLU9c+sAU85bF80hveU5/xpgXvlT1mWJOe1Mc8oEe3t7MQB78uRJsSewmkKhwLlz5yRpYG4+MESz56EgCBg+fLjWHkjmtHfNSRtzp0eIiYnRekz79u0TA32DBg0qlZ5lNf8aYHqb0Nx7iJISExPxySef4NKlSxgwYACWLVtm1Lx+moseLF26VNJrPyUlBRMnTsSJEydga2uLxYsX6wzY6cp7cXFxCA0NLXUvmJSUhG+++QZr164FALz++uvo1q0bgOJyZcaMGRgxYkSpPFMVldsQUc15jLZv347t27dr3a5FixaYOnWq1sKtdevWuHLlCnbs2IG8vDz4+fkhISEBf/31lzgXgbZGZr169ZCamoqbN2+ib9++cHFxwfTp09GqVSs0bdoUjo6OyM3Nxfz583H79m14enri7t27OHnypHixTfnxqgNs3bt3L7WChq2tLapXr47s7Gy89tprWp9uBQQEYODAgdi5cydu3bqF/v37o1GjRnBzc0N+fj5iYmIgl8uxceNGsTFn7DCRN998E3v37kV0dDR27dqFgwcPonHjxnBwcEBWVhZiYmJgZWVlMMjm6OiIMWPGIDg4GDk5ORg/fjw8PDzg5eWFjIwMJCcnw8PDQ7xxBYq78O/evRtxcXFYsWIFDh8+jOeeew5paWm4evUqCgoK4ObmhoULF0qWATZUiBqaI8uY+dfy8vIwaNAgtGzZEu7u7oiJiRHnV2jYsCF++OEHyRMEU+dfA4qDUl988QVmz56NjIwMfPrpp6hVqxZ8fHygUqnEVbnGjh0rCXQMGjRIfPo/d+5c/Prrr6hbty4SExNx+/ZtdOrUCTKZDIIgmDT/Wp06dXD+/Hn07t0bzz//POzs7HDr1i1xqE737t0xf/58nTdtvr6+iI2NhZOTk6SBa6x69eoBKG4gDBgwAHXq1EGfPn3w7rvvSo7TnEbC559/jvDwcMjlcixatAgrV66Er68vrKysxElaO3XqZHDVybKYf83ca29M48Hc8ktXHm3VqhX8/PwQGRmJyMhI9O/fX+zleOvWLRQVFaFp06YIDw83qhGqvhaffPIJCgsLMXLkSLRt2xY1a9bE48ePJT2Oli5dKukhWJZP48s6nUydQ+K9997Dvn37EBcXhyNHjuD48eNo0KABBEFAUlKS2Htb3ZPTnLrO3JtiGxsbvPHGG/jtt98gl8vxwQcfoFWrVnBxccH9+/fF34q2GyR9Dxr69euHDRs2IC8vD7t27cLZs2cREBCA7Oxs3LhxQyyPnzx5UurBQHnU9YDp9d/vv/+OkJAQcR4oBwcHpKSkiEHIdu3a6V3ZGTDcswMov7pRH0vKV3PaEeZcU0vykDYV2W5R34ipVCp89tln6NOnD2xtbXHhwgVcv35da9lm6vGZ2gtRs3wtq/nXNPfZokULcYqUnJycUsMK79y5g8OHD+PXX3/VO8THkrYZYF6dc/36dUyZMgW2trZo1qwZ3NzckJWVhcjISBQWFsLb2xvz5s0zmH4A4O3tDTs7OxQWFiIsLAynTp2CjY0NNm3aBDs7O73lZuvWrfHyyy/j2LFjOHnyJAYMGIDAwEAUFRXhypUryMjIgI2NDcaMGVNqhVRz6gBTz9vQNWvdunW5zr8GmFf+lHVZos5nprQzzSkTAGDs2LEYPnw4CgoKEBISgg0bNqBu3brIyclBUlISCgsLsXPnTvHe09y2gCE1a9YU21H+/v6lhoaqmdPeNSdtzJ0e4bvvvsO5c+dQs2ZNsRyKjY0VA7off/yx1sC1vvnXTK1DTW0Tmnv/qCkzMxNDhw4Vh9vu379fUtdp+vbbbyVzO7Zp0wZdu3bFP//8g/DwcPTt2xetWrVCbm6u2MZxc3PDggULJGmnL+9ppsmSJUtw4sQJrFixAr6+vnB1dUVKSgqePHki3oO9+eabkgVyli9fLo7eun79ukkjqCpDufVg0+w1oyaTyeDq6oqAgAC888472LBhA0JDQ3XetE2fPl3MbAcPHsSyZcsQHh6OuXPn6r0JnjJlihhlVz8VUU/k5+TkhLlz54oV+a+//orly5eLq5momRpgs7e3F+cuKMnDwwN2dnYYOXKkzn1Mnz4d48ePh5eXFwRBwL1793D58mXcvHkTtra26Nu3r7gkOfBvBabrh65mb2+Pn3/+GW+++SYcHR1RUFCAW7du4fLly7h79y5q1qwpBjgMefvtt/H111+LgZLU1FRERkYiISEB3t7epeZZcXJywurVq8UnwtHR0di/fz/OnTsHGxsbvP322/jzzz8ljVTA8JN2Q8N4jZl/7ccff4S3tzciIiJw/PhxPHjwANWrV8cnn3yCX375ReytVTK9SzauEhMT9fZs6dOnD77//nsxsBofH4+rV68iIiIC2dnZ6Ny5c6kgWbdu3TBlyhTxyXZ0dDSOHz+OzMxMzJ49Gx988IH4tNSU+dcGDx6MmTNnAiheueqff/5BSkoK6tatizlz5iA4OFjS+1JTfn6++FR5woQJBrsXazNkyBDxSaR6FVjN376hRoK+OR0bN26M9evXo3PnzrCxsUFmZiYiIiJw9epVxMbGIiAgQOvS7vq+w1Da6pp/zdxrb0wPE3PKL315VCaTYcmSJeLx5+Tk4MyZM7hw4QLat2+PLVu2iI1nYxuhAQEB+Omnn+Dr6wtBEHD58mXs378f169fh4+PDyZMmIBNmzaVykOGyrT4+Hijn8KWdTqZMv8aUHyjuH79evTq1Qt2dnZQKBS4d+8e7t+/j/z8fHTo0EFyjqbWdcbcFKvTs+RNMVDcgB8wYACA4h6lV69exYkTJ+Du7o61a9eKQzZKBlXv3r2r80GDl5eXZF6PpKQkHD9+HFFRUXj33Xexbt06cTXtkp8tj7oeML3+y8jIgIODA+RyOa5cuYLTp08jKioKXl5eGDNmDEJCQgzOoaKvZ4dm/iyPutGY4zKnfDWnHWHONbUkD+lSUe2Wdu3a4eOPP4aVlRWePHmC1atXY926dfD39xd7e2trs5hyfJb0QlSXByVvGs3d599//40PPvgAzZo1Q3BwML7++mvMmzcP8+bNw+TJk8UV+QoLC8Xh5rpY0jYDzKtznjx5Ak9PTxQVFeHGjRs4deoUrl27Bmtra7zxxhsICwuTfJeu9AOK7wFmzZolBv4ePnyIGjVqiEMK9ZWbAPDNN99g0KBBsLGxQUpKCg4dOoRjx44hOzsbL730En755ZdSwTVz6wBTz1sbc+dfM7eONaf8KY+yxNR2prllQosWLfDzzz+LC8Dk5OQgKioKsbGxsLOzQ69evcQ8aEzQXV9bQJ/o6GgUFhbCxsYGc+bM0dtz29T2rjlpY+x9r6bc3FxYWVnBysoKiYmJOHfuHM6dO4fY2Fg0bdoUixcvxqhRo8TtBUHQGQzXXHne1DrU1DahOWla0sWLFyXzDRcVFen8p236oPnz52PgwIGwtrZGZmYmTp48icuXL8PW1haDBg3C5s2b9QbXNNNMc/41QRDE4L5KpcL9+/dx9epVPH78GCqVCoGBgVixYgW+/PJLSZ5Tp/nzzz9fqjNTVSQTtE0yUYWoVCpER0cjKysLPj4+4uIBxkhLS0NhYSE8PDxKNYrz8/Nx584dKJVK+Pr6ivOrmCMpKQkymUznUraJiYmQyWTw9vY2an9xcXFIT0+Ho6MjvLy8jF6m2RCFQoHY2FjI5XK4ubnB09NTDOKYc87JycmoVq0aPD09Sz1RLCkhIQF37txBYWEhfHx84OfnZ9TNelnJzc3FSy+9BKVSiQkTJuC9996DQqHAjRs3kJ6eDg8PDwQEBJTrMaWlpSEpKQlWVlbw9PSEu7u73iE+eXl5uHnzJuRyOXx8fNCsWTOL5xwAioNbN2/eRF5eHurWravz6Ycm9QTfHTp0QEhIiMXfn52dDRcXF8kqvGUlNzcXcXFx4m/fw8OjQvOaNqZee0PKsvxSe/jwIWJiYlCtWjU0a9asTPZ5584dxMbGwsrKCg0aNKjwiUrLI51MVVBQgNjYWOTn58Pd3R2enp5aJ621pK4zl/pmXqVSoWHDhmXynUqlErdv30ZycjLc3Nzg7+9vVD1TXnW9mrH1n0KhwKNHj5CZmQlBEODl5YW6deuWSdmrTWXXjaYypR1h7jU1Nw8ZUhHtloyMDERHR6NatWpo2rSpScdt6vFVllOnTmHChAlo2LAhfv31V62/ufz8fPEmaPLkyVqnngDKvm1mSp0jCALi4+ORnJyMoqIiuLq6omHDhmb//lQqFZKTk2FlZQUPDw+T5qEDioe637x5E9nZ2XB3d4e/v3+5tJHK+rwrkqn3MeVVlpjSzrSkTMjKykJcXByA4oBljRo19Aa6yopSqcRHH32E27dvY9SoUUavmgqY1t61JG1MkZubK64YamNjgzp16pgUbCxLxrYJzU3TspaRkYHbt28jJycHXl5eCAgIsHjhRKA4j0VHRyM+Ph6FhYVwdXUVA2+6tk9MTEStWrUq7NwtUeUDbERl4cyZM+L8d2FhYTqXJqbSwsPD8emnn8LBwQF//PGHWb3XiIiI6Ok3fPhwXL58GR999BHGjBmjdZuLFy+Koza2b9+udWEjgG0zoqpow4YN+Omnn+Dn54fQ0NCnIvhKVJWU6yqiRFWF5th5Xas8UWn5+fmYN28eBEHA+PHjGVwjIiL6D1MPd/zrr78QEREhmew9PT0dO3bswNSpUwEAb731ls7gGsC2GVFVc//+faxevVocGsrgGpHp+Kuh/wR1I65NmzYmd9v/L1u1ahUePXqE9u3b44033qjswyEiIqJK9P7772PWrFl48uQJhg0bBhsbG3G+S/UqmFZWVhgyZAg+//xzvfti24yo6lAqlZg7dy6KioowYsQIo6aQIaLSGGCjZ55SqYSnpye6dOli1ET3VCwtLQ2PHj1Cly5dxKfRRERE9N/Vu3dv+Pr6YufOnbhx4wZSUlKgUqlQr149eHp6omXLlujTp4/BOffYNiOqWq5evQp3d3f06dMHH330UWUfDtFTi3OwERERERERERERWYD9sYmIiIiIiIiIiCzAABsREREREREREZEFGGAjIiIiIiIiIiKywH82wLZp0yYEBQWZNYmjSqVCfn5+ZZ9ChQsJCUFQUBDGjh1b4d+dl5eHipwu8L96jUsqLCyEQqGo7MMg+k8rLCzE4MGDERQUhF27dlX24RCVqeTkZAQFBSEoKAinTp0yuP3UqVMRFBSE4OBgk7/L0jqNdaJpjh8/jqCgILz55ptIT0+v7MOhZ1hl5zV99yn5+fkIDQ3Fhx9+iB49emDAgAEsR8xkSfmvDcv0YhV9n12ZKqJNXWEBtvv376Njx47o2LEjtmzZUlFfq9OxY8cQExODGjVqmPS52NhY9O/fHy+99BLu379f2adRoY4cOYKYmBh4enpW6Pf+9NNPePHFFzFr1qwK+b7/8jXWdPz4cbz88ssYOHAgVCpVZR8O0X/W9evXce/ePcTExKBhw4aVfThEZerSpUuIiYlBTEwMmjRponfbvLw8nDhxAjExMahVq5ZJ32NpncY60XSnTp1CTEwMioqK4O7uXtmHg9OnT4v3Ivr+vfbaa/+Zm81nRWXmNX33KfHx8Xj33XcREhKCmzdvIiMjA56enrCxsansJHvqWFL+a8MyvVhF32dXtopoU1fYr/vSpUsoKioCADz//PPl+l2rV6/GoUOH4OHhgdWrV5d6Py8vD5GRkQCAwMBAk/a9Z88eJCQkQCaTwdbWtoJSr/IlJycjNjYWgOlpZomioiKEhoYCAKysKiYeXB7X2FCerIrCwsLEXnwVlfZEVVVGRgY++eQTCIKAkSNHokePHhX23ZcvXwYA2NvbIyAgoLKTgqhMqfN3nTp14OPjo3fb8PBwsbeBqW0RS+s01ommu3TpEoCKbTfqc/HiRfFeRJ+WLVtCJpNV9uGSCSorr+m7T1EoFPjiiy/w6NEjNGjQADNmzEDLli0ZvDWTJeW/NuVRpo8bNw6xsbHo2rUrxo0bV3mJZaTKuM+ubBXRpq6wAJv6ZJydnfHcc8+V63cdPXoUMTExaNq0qdb3LfmB9uzZEykpKejevTvq1atXASlXNagrLqBiKy9bW1uMHj0aGRkZGDZsWIV8Z3lcY0N5sioaMmQIGjZsiHfeeaeyD4Wo0l2+fBkPHz4EADRu3LjCvxsAWrduzafe9Mwx5cbYkrakpXUa60TTVNaDWX3U+cfX1xebNm3Sud1/6QH6s6Ay85q++5S9e/fi7t27kMlkWLJkCXx9fSs7qZ5qZR1LKOsyPSMjA6dPnwZQ/MDoaVAZ99mVrSLa1BXWUr9y5QoAoG3btuUaIc3IyMC9e/cAAO3atdO6jSU/0EaNGmHmzJkVkWRViilPmMuaOfPkWaKsr7ExebIq6t69O7p3717Zh0FUJajLQA8PjwodpllYWIjr168DqDo3qURlxdQbY3Uwzpy2pKV1GutE01TWg1ld5HI5oqKixONxdHSs7EOiMlLZeU3XfcrBgwcBFLf9GVyznCXlvzZlXaar24nA03W/V9H32ZWpotrUFRJgu3fvnjjhpDEnox7CmZGRAW9vb/j7+xv9Q9IsZHVlbm0/0IcPH+Lx48ewsrJCQECA2eP3CwoKEB8fD4VCAQ8PD5P2I5fLER0djfT0dMhkMvj4+KBJkyZGR1dNSbeioiLcu3cPiYmJUCqVcHd3h5+fHxwcHPSmWVlmRkvSSk2pVCIpKQnZ2dlwcXFBzZo1K6xbv0qlQmRkJJKSkuDs7IwWLVrA3t5eZ9oBxhW4SUlJuHv3LhQKBXx9fdGgQQOT00SpVMLOzq7c0+D+/ft4/PgxbG1t4efnZ/KchgUFBUhNTYW3t7fJTxFycnJw+/ZtZGdnm1ROmHrMZZFPS4qPj4erq6vJDXxzz1lTfn6+1nxqab7TJAgCEhISkJGRATs7O9SpU0frd2puf/fuXcTHx6NatWpo1qxZhc2hkpKSgujoaOTn56NRo0aoX7++1u006w1DFAoFbt++jZSUFFSvXl1n2aAtDeLi4uDs7IzmzZvDwcEB169fR2FhIQDTy19L09XYMq6koqIixMfHQy6Xw9nZGbVr19b7+y7LvAf8e02LiorQsGFD1K1b16jPWVqe5efno1q1agbrIEvremPzbEnmXk9TJScn4/79+5DL5ahWrRrq169v8HcFGM7feXl5uH37tmTb8jwnXWWlIaa2YfPy8nDz5k1kZWXBx8cHfn5+4vbx8fHIz883Kaifk5ODhIQEFBUVwc3NrVweihpTxhv7YNbS352xwsPDxXmWzG3LZmZmIioqCrm5uahZsyb8/PzManOakrfMqU9MZcpvVhv1NXR2dkarVq0kPQDz8/MRFRWFtLQ01KpVC35+fkbtU/O37eLigubNm6NatWpat61qeU193uHh4QCAzp07m/RZQRAQExOD2NhYFBQUwMnJCc8995xFx2tquWBOXrckHxlqN1R0+a/J1Ps9Dw8PowKqFdXmKAtP2/1eebSpTVEhATbNiG7Jk1m1ahU2b94MFxcXbNmyBWvWrMHWrVuRm5srbhMQEIAVK1bA2dlZ53dERERg3LhxYqIB/0Zk7ezssG/fPtja2pb6gUZERGDJkiW4deuW+DlbW1tMnz4d/fr1k3zHH3/8gRUrVsDa2hp79uyR3ByfPXsWoaGhknMFgJo1a2LixIl4+eWXdR773bt3sXz5cpw/fx5KpVLynre3N+bNm1cqMGNuusnlcgQHB+P48eOQy+WSfdrb22P06NGlusrqesLct29fyOVyDBw4EOPHj9d6blu2bMHKlSvRsGFDrFmzBjY2NkanlUqlQv/+/SGXy/HOO+9g+PDh4rYPHjzA+vXr8ddff0lWf3F2dsagQYMwatQomEPXNT537hy+/PJLAMDatWtx8+ZNrF69GomJieJna9SogeXLl6NZs2Ym5Um1Cxcu4Oeff0ZERITkmNq2bYtFixaVKsxGjBiByMhIdO3aFfPmzcPFixexceNGXLlyBb/99hsKCwvx2WefAQBmzZqlMw9+8803OHLkCPr27YtJkyYBAKZPn44zZ87A398fK1eulGwvCAK2b9+OTZs24cmTJ+LrMpkMQUFBmDx5MqytrQEUL4zxzTffAAB2794NFxcXyb6+/fZb7N69G7/88gv8/f0l74WGhiI0NBQ9e/bEtGnTxNcfPXqEVatW4dixY5JrX7t2bSxYsAAtWrQodY6mHLOaub/plJQUvPnmmwCAefPmoWvXrpL39+3bh9mzZ2P8+PEYMmSI5L3w8HCMHz8etWvXxqZNm8RKyNRzVpcPrq6u2LlzJx4/foyNGzfi6NGjGDNmjHh85uQ7fR4+fIiwsDAcP34cGRkZ4uvW1tbo3LkzFi5cKGkg5+bmIiwsDFu3bkVaWpr4upWVFXr27InJkyeXyjNxcXF49913AQBff/01XnzxxVLH8eabbyIlJQVBQUH4/PPPxdfVv5kXX3wRo0ePxvfff4+///5bMrnt66+/jq+++kr8e8KECbh69apYXh4/flx84jl06FB8+OGH4rZyuRwbNmzAtm3bJOWrg4MDJk6ciIEDB5Y6VpVKhe3btyM0NBQJCQni687Ozpg2bRpiYmIAmDZXhDnpak4ZV9L58+exefNmXLhwAQUFBZJzGTx4MEaOHCnZvizynmY5OGzYMPz44484efKk5Jq2b98e8+fP1xpcNLVsyM3NRb9+/aBUKjF27FgMGDAAe/fuxZYtW5Ceno4DBw7oPFZz6npz8qyl13Pw4MFITEws9ftRU9cZjRs3xrp168TXjx49ig0bNohz3Gpq0aIFvv32W9SsWVPyuqnzr6nTLTAwELt27TL6nHTVacaWlYY+b04bNjc3F7/88gt+/fVXyfbNmjXDhx9+iF9//RU3b97EoEGDMGXKFL1po1AosG/fPuzYsQO3bt2S5A8fHx+MHz8ePXr0wNatWxESEgIA2LlzJ9zc3ErtKycnBx9++CFSUlJKtR1MKeP1PZg1p062lCW9nK5evYp169bh/PnzkvmzfHx8MGnSJK29YEyph7UxpT5JTU3F4MGDoVAo8PLLL5earDwjIwOjRo1CXFwchg8fLrbzzfnNapZJ7733HhYsWCC5h/Lx8cGGDRvg4eGBsLAwhIaGIisrS3y/S5cuWLJkieT6apZXa9aswZUrVxAaGork5GRxG2dnZ0ycOLHUvZnmta3ovKbtPqWoqAh9+/ZFXl6e2F5btWoV1q5dCwD48MMPMXToUJ37XLNmDXbt2iVpD6iPt0+fPvjqq6+MHsJsbLmgyZy8bk4+UjO23WBJ+a+NrjLdnLpz48aN2LBhA/Ly8gAA6enpYjq1adMG33//vfjZ8mhzqO9dAWD79u1a206FhYUYOnQonjx5ghkzZqBHjx5677NNPdaqcr9XHm1qc1RogK169eqlhmSePXsWcrkcdevWxdChQ5GYmIh27dpBqVTi8uXLyM/Px61bt7B161a9XRivXbsGhUIhBjNsbGzEi9GiRQuxMNL8gUZFRWHZsmVo1qwZevTogQcPHuDevXsoKipCcHAwevfuLYmynjt3DnK5HP7+/pLgWmhoqNhg8fX1hYeHB1JSUhAXF4fU1NRSGamke/fu4cyZM2jcuDFq1aoFGxsbREZGIiEhAUlJSZg2bRoOHDggORZz0y0vLw979+6Fj48PAgIC4OLigkePHuHOnTvIz8/HkiVLEBgYKLlOuholNWrUQEJCAqKjo7WeV2xsLJYvX47CwkJMnDgRNjY2JqXVnTt3xB9H8+bNJcczbtw4FBQUwMvLC/Xr10dWVhbi4uIgl8stmh9J1zW+cOGC+ERm7dq1OH78ONq0aYPmzZvj2rVrSElJQVpaGkJCQrB8+XKT8qQgCPjhhx8QFhYGAOjUqROaNm2Kx48f49ixY7hy5QpmzpyJn376STye3NxcXL16FUqlEk2bNsWCBQuwfft2AP8+OZHL5WKjTF2glHThwgXs3LkTNWrUEINxKpVKzF8lKym5XI5Jkybh0qVLsLe3R69eveDt7Y2IiAhERERg69at8Pb2xscffyyes/oYNAONQPEqLrt37wZQHJTSlJGRgQ0bNqCgoAAffPCB+Prhw4cxb9485Ofno1mzZmjXrh1ycnLw119/IS4uDuPGjcOuXbtKBZVNOWbAst+0vb29eM7qylbzWH788Uet5wwAy5cvh1wuxwcffCD+3s05Z/X1a9euHXbs2IElS5aIDRf1Dbw5+U4XQRCwbt06rF27VszjderUgYODAxITE5GdnQ1nZ2dJcO327duYMmUK4uPjYW1tjcDAQNSoUQM3b95EXFwcDhw4gJiYGKxfv15S9l26dElM35YtW5Y6lsePH4tzpWlWnpq/mZycHLz99ttwdXXFSy+9hPT0dHEagx07dmDAgAFo0aIFFAoFbty4IU6CCxTfSKrPUfP7o6OjMX78eCQkJMDb2xuvvvoq7OzscOrUKcTGxuKbb76Br68vWrduLTmmyZMn4/z582Ka+fv7Iz8/H5cvX8asWbPg7e0NwPi5IsxNV3PKOLWcnBx8/fXXOHLkCIDi372vry9kMhliY2Mhl8tRu3ZtSX4pi7yneU3VgVdXV1d07doVgiDg8uXLkMvluHDhAqZPn17qYYE5ZcPVq1eRmZkJoDjYPnz4cLGXwiuvvKL3eE2t683Js5Zez7i4OHFKA12NzzNnzmitH86ePYsHDx7A398ftWvXRl5eHq5duwa5XI4bN27gu+++Q3BwsOQz5sy/Vq1aNYSGhhp9TvrqNGPKSmM+b2pbLDs7G5999hnu3r2LVq1aoU+fPlCpVFi/fj2ioqIwffp0ODg4wNfXV+tDBE0PHz7EtGnTcPfuXQCAk5MTatWqhfz8fDx58gTJycni6qw+Pj5i+fn48WOtAbZly5bh4cOH6NKlixhcM7WM1zf015zfXVnQnH/Nw8PDqM+oVCosXboUmzdvBlD8m2/ZsiWys7Nx+fJlJCQkYPLkyfjuu+9KBR6MyVu6mFqfeHh4IDAwEEePHsX+/fsxatQoeHp6AiguR8aNG4c7d+5gyJAhkofopv5mNcuk5ORkDBs2DAEBAXj55ZfF32BCQgK2bt2K6OhonD9/XjzXCxcuoLCwEKdOncL58+fRqVMncb8XL16EXC6HjY0NvvvuO4SHh6NVq1Zo06YNHj16hMjISMjlcsydOxd169ZFmzZtxM9WZl7Tdp8SFRWFnJycUotpaLb/9dm/fz/y8vLQunVreHl5IS0tDVevXoVKpcLevXvh5+eHt99+2+CxmVIulEVeN7XsN7XdYG75r42+Mt2cujMiIgJFRUVifKHk/Z4l+dGYNkfNmjXFcj02NlZrgG3dunWIiopChw4dxKCqrvtsc461KtzvlUeb2lwVEmBTNwLbtGkj6dKXm5srRrujoqLw0UcfYdiwYWK3y5s3b4q9A3QFCNTef/999OvXT8w0kyZN0vp0SLM3yq1bt7BhwwYx8wuCgAkTJuDUqVPIyclBSkqK+ERVpVLh6tWrAKQFeHR0NH766SfIZDIsX74cHTp0EN/Lz8/H3bt3DS4lHBgYiP3794sXHSguiGfMmIEjR44gPT0djx8/FocIWJJubm5u+O2330oFOjdv3iwWfteuXZO8r+sJc8OGDXHr1i2xYtMkCALmzp2L/Px8fPDBB2jRooXJaaX+XisrK7ERUVRUhFmzZqGgoACffPIJhg8fLnaNValUCA8Pl1S8ptB1jTWPpaCgAAUFBdizZw+8vLwAFFcSr7/+OtLS0iTpbWyeXLp0KX7//XdUr14dS5culRz/jh07MH/+fJw/fx6JiYniEyB1A0e9TVxcHF566SV07NhRrDCdnZ3h7u6O9PR0rdcoPz8fCxYsAABMmTJFfNpw584dZGdnA5A2AgsLCzFmzBjcuHEDfn5+CA4OFvODIAiYNWsWDhw4gN27d4sFrmaQUrOxoVQqsWjRIvFvzaeUALB+/Xrk5OTg3XffFScK/fvvv/HVV19BEARMnjwZgwYNEq/9u+++i3fffReZmZk4efIkevfubfYxW/qb1hxmXbKBtXLlSqSmpmo95xMnTiAiIgJ+fn7o2bOn2eesWT7cv38fx48fR+vWrdG9e3fUrVtX7LZuTr7T5euvv8bu3bshk8nwzjvv4P333xfLM0EQcPbsWUlD7tatWxg5ciRycnLQoUMHfPXVV2KaKpVKLFy4EDt37sStW7ewb98+DBgwQPys+rfYuHFjrTeHunpMa/5mrly5gqlTp6JXr15iem7atEkMfj58+BAtWrSAjY0N/vrrLyxevBh//PEHatSogcOHD5f6ztjYWAwfPhyZmZno27cvpk6dKuaDkSNH4oMPPkBMTAz27t0rlmUKhQLjx4/HlStX4OTkhGnTpqFnz57i8WRmZmLq1KkmBSDKIl1NKeOA4kbY8OHDERUVBWdnZ4waNQp9+/YVf/v5+fk4ceKEJPhUVnlP84FZbGws5syZg//9739iOyMjIwOffvopHjx4gIsXL+Lhw4di/jenbNBMJysrK3z33XfIzs7GG2+8geeff15rwFeTqXW9OXnW0utpqJfP48ePkZSUpPX99957D1988YWk3M/KysIHH3yA2NjYUj0Vk5KSzJp/zdRz0lWnGVtWGvN5U9ti8+fPx927d9GjRw8sXLhQvKa1a9fGuHHjYGVlhcOHD+uctkMtKioKI0eORFZWFnx9fTFu3Dh06tRJ7FWQmpqKW7duieeiOdT08ePHpfLs+fPnsWPHDjg7O0t6RZpaxuvKR+b+7ixVcv41Y82aNQsHDx6Evb09Jk2ahP79+4vly927d/Hpp5+KI0O6desmXkdj85Y25tQnQHHP06NHj0KhUGDbtm1ib6pJkybh5s2beP3110uNNjH1N6tZJqWlpWHjxo3idU9PT0evXr2gVCqxYcMGdOzYEXv27BF7Dh88eBAzZswAUBzI16QurxQKBby9vbF3715JOfnnn3/i22+/Ff+vWWdUZl7Tdp/SokULnDp1CsOGDUNERAS6dOmCZcuWGb3PhQsXomnTppJeTFFRUXj//7F33mFRHV8f/wJLk6Z0IwoWLNjFGEuKLbGXqNFojCUxMUZjiaZoEo2aLpYY7L3EaGKN3WBHxYKAIEWKIG3pCyzsssDe94997vzu3b53FzB55/M8Po/sbVPPnDlz5sy775J5jiEDm6lyARDe1oW0IyF6g1D5rw1dMp1bp6Z8Z926dbh8+TK++OILAMChQ4c0+nhd6hzcbbhZWVno0qUL79upqanYt28fHBwcsGzZMr3tV2haG3q+Vxc6tTnU+Xms+uKvcQX1V199hblz5/L2NLdr144UjLaJlDrGBBdkC7Z169bYvXs3TyG1srLixQbgujfq6oznz58HwzDo0qULbyIOqDxZDCncAODl5cUbSACVJZj7Pq6SZU652draaj3YgRsfQH1fOVtm6mXKKmo5OTk8101AtTU0KioKAQEBxOXU1LJi67Ndu3bEQn3//n3k5+fDysoK7733Hk/AW1tbo0ePHoL3ohujRA8fPhzr1q0jwhZQrQqxMYPUy9tQm7x+/Tr++OMPWFlZYf369RrGwQEDBpD/c11due/19vbG0aNHsWbNGowbN44nWNl0aTOwbd++HVlZWejfvz/PRVyXwA0NDUVcXBy8vb2xceNGnrHVysoKr732mkY6dQnco0ePIikpiQz23BUNsViMv/76C87OzuREG7FYjG+//RYMw2Du3LmYNGkSr565cYhyc3PNSrO5fdrGxoas4nPz/OTJE/z1119a86xUKol794IFC2BlZSU4z1z5UF1dTbYmTJ06law6Cm132jh48CD+/vtvMvgvXryYJ8+srKzQt29f8ltZWRk+//xzVFRUoF+/ftiwYQPPYGljY4PFixeTtsOeyKTePnUNjlwZz+2P7HOOjo7Ytm0bhg0bxitPrreOrn6s7ZtKpRJLly5FaWkp+vTpg2+++YYnr52cnNCrVy+Netq5cycePnwIkUiE3377jWc4AQA3NzfeNhJDHg/mlKs5Mu6bb75BUlISPDw8sG/fPkycOJHX7x0cHDBkyBCiqFuy7XEPLNq/fz9ef/113iJe48aNeYoq65kFCJMN3G8qlUr07dsXp06dwrJlyzBixAiDsWZMHeuFtllLjFmmGrABlU6gHlfS1dWV6FnqxiJ971KnsrKShPcQmif1Mc0YWWns86boYunp6QgLC4ONjQ2WLFnCq1PWs0qpVBrUZcrKyrB48WKUlZWhW7duOHDgAF555RXexNzDw4PnAde0aVMyPj179oz3PtajBFAtCLLla6qM55aZn58fr28J7Xfmwo2/dv36dUyePFnrvydPnpBnDh48iAsXLkAkEmHjxo0YO3YsT74EBgbinXfeIenlyhdj25Y6QscTQLW1njV2HT9+HFVVVfjmm29w7949ja1XLEL7rIuLC3bs2MEzqjZp0oTMm7p27Yq1a9fytuVz5SP3d27fnjp1Kr777jsNOfnWW2+RWJrccuamqSHamrZ5CqAyED1+/BiA6RP59u3ba2xZbdeuHZENhozuQuSCOW0dML0dmao3mCP/9dWbuky3xNjp7u6u1YBelzqHn58fKSv1+Z5SqcTq1atRU1ODefPmafUKVG+//8b5nqV1anOpcwObPgMDVzkePXq0xrO5ublk/7cx+2QNNW5uBx09erTG/mDgfw0zICCA11h0dUZ2T3Jqaio5lUIorKcRux2JVX7c3Nx4jdsS5VZRUYGsrCwSF4GraHGNjPpWmNkyViqVvNWorKwshIaGwsrKCitWrCDKnCllpcubjH0HwzA4c+YMLz6AuRijRE+ZMkWr0suWkXp562uTtbW1+PXXXwEAw4YN432Thbs1zcnJSeO93bp1Q2hoqM4g3qwQUhe4SUlJ+P333+Hs7ExiDai/mytws7Ky8OeffwIAZs+erdX9mN36wO032gRucXExtmzZAh8fHxJLgytwt27diurqasycORNubm4AVMbAiooK+Pn54d1339WaV/XvC02zJfo0q0yweWYYhqy+shN+bp7PnTuH1NRU9O3bFy+++KLgPHPrz8XFBXv27NGQu+a0O3UKCwuxdetWAMC0adOMOo1p165dEIvFcHNzw8qVK7W6aDs6OpKt3qzHH6Ay5rMDui6llfWY1uWF+uKLL2qNz8HtI9wtwNxTgLV98/z580hISCCTZW2xXNTrqaCgAPv37wcAvP/++xqrjSzsNgBHR0eDoQbMKVehMu7GjRu4efMmAGDlypUGDyewZNsD/lenPXr00JiQsTRv3pz8nx0vhMoGrvI9ffp0fP7553pjw+rC1LHe1DZriTHLVAM2t4zz8vKQm5tL0pCZmQkAGnlg36U+MdYG11tRaJ7UJxGGZKWxz5uqi7H5btWqFdnGx607AGjTpo3BYN1sn3dxccHPP/9scOINqPQbXXrBhg0bIBaL0a9fP4wcORKAMBnPzSO3HQntd5aA6+VUWFiI5ORkjX/p6elEhnHzPXPmTJ2H23AX3Lgy1di2pY6Q8YQL69lUVFSEmTNnIiwsDK+88gpWrlypMyi4KX2WKx9Y/YxFKpUSh4rBgwdrjEHceQZ3Oxq3bw8dOlRn2bCyXF3vb6i2pm/XS0xMDHE8EOIpo1AokJOTQ/TEyspK8n9D8cVMlQvmtnUWY9uRqXoDYJ7814YumV5XY2dd6xy2trZkQVVdrv/555+Ii4tDp06dMHHiRPK7rvb7b5zv1YVObS51vkWUFXwuLi4IDAzkXeMqx9oEP1vx7D2GMKQYqgdI1HWPtuu6OmOnTp0QFhYGqVSKmTNnIigoCMOHD8eIESPg4uJiMM1VVVX4/fffceLECWKJFYlEGDZsGNk3r553c8rt4sWLOHjwIDE0svewkxM3NzdeDDN920W4BqNnz56hRYsWvK2hU6dO5QlkU8pKlzcZ1+Pwhx9+wJ49ezBkyBCMHTvW6JPidGGMEq3N+y8nJ4e4vOqqK23t7f79+0ThCA8PJ26uXNgB2sbGhijFXIE7aNAgvXvI2Wfy8/OhUChgZ2eH2tparF69GrW1tVi4cCFPwdclcE+dOkXSsmXLFjIYc2HjjbVq1Yr8pk3g/vrrr5BKpVi+fDnJPytwU1NTcfbsWfj6+hJFsaKighx1XlhYqDXALfA/t2O2/QpNs7l9ms23RCIhcQhOnz6NmJgYTJo0CX379sWOHTtInhUKBbZu3QorKyvMnz/frDwD/DanPnkDhLc7bZw4cQJyuRyOjo5GHfMtl8tx7NgxAKoVaX0rjaxiw1UOhW5f4/YZXbKfbffq8XkMeaGy+QFUwZ+1wcbPYOvp2LFjUCgUcHR0JKvC2mC/3bVrV7393NxyFSrjDh06BEBl6Ff39tSGJdsed8FM3wSGG1yb3X4gVDZwlW92G7exmDrWW6LNmlqf5hiwCwsLsW3bNvzzzz8kDouLiwumTp2qMx+GdDZt95qaJ2NCP+iSlcY+b6ouxhpWy8rKwDAM6ZNisRj79u0DAIPylNvnJ02aZHRMMUDlbZKcnMwzeOjaGmqqjAd0L8wK7XeWgGvMZUNjqGNnZ0cWhI8fP07yrX4YkS60LXTpa1vaEDKecBk6dCg2btyIsrIyPHnyBD179sRPP/2kdfwwtc8akkns/EnXdbY/NG3aVKfTgLa+zcLOCbgeOA3Z1ozZZujk5GRUwH2Wx48fY8eOHbh79y7Rmf38/DBgwABiWNRnrBUiF8xt66a2I1P1Bm55CpmHqWOMTDf1O4YWYutD52jevDmys7N5hxGIxWJs3rwZIpEIy5cv541Tutrvv3G+Z2md2hLU6dsZhiHKmLoCYozyaEpAUkONm/s+bYctALqVS32dcfLkySgqKsKRI0egUCgQHx+P+Ph4bNmyBb/88gteeuklnWmWyWRYsGABHj58CGdnZ4wYMQJNmjRBamoqTp8+Te4zdaKoq9w2bNiAgwcPwsbGBq+++ir8/f0hFosRHh7OqyeuxZ7req0eC8fPz48EcmRXKditof7+/honxplSVrq8yTp06ICVK1di48aNKCoqQm5uLvbu3Yt9+/Zh7ty5RiuA6pijROua9Btqk+wKjkgk0rmCZmNjA19fXwQGBsLOzg4AX+AampiwE1SGYZCTk4OAgAD88ccfSExMRM+ePTVONdQlcNm0Ojk56RRKzs7OcHZ25gWuVY9HFh0djbNnz6JPnz4YOHAgCXrJCstNmzaBYRh89NFHRNG9e/cuMVTpMxz4+vrC2tqarIwKTbM5fZqFrc+amhqUl5dj48aN8PDwwJw5c4hyXFFRAZlMhuPHj0MsFmPUqFFku4XQPBsjH4S2O21cuXIFANCnTx+jPHkiIiLI5FL95CouSqWSHFTA3YJiifhrhuSmrv6vzQtVIpHg0aNHAFTbIXSdRMauALLvvnr1KgBVcH9ddaBQKBAXFwfAsCu7pcrVFBknkUjIc4aC+7NYsu0Zs2AGgJxuZ29vT5RBobKBza+rq6vGgqE+hIz1lmizpo5ZQg3YGRkZmD17NgoLC9GsWTMMHToUIpEI0dHRvIMluO3Y1PhrQvNkTOgHfd8353lduljfvn2xceNG5OXlYf78+XjttdeQn5+PY8eOobS0FLNnz9bryQMY3+e1wYb3YCc83K2hn376Kc8b1FQZr68uhPY7c5FKpWTrZ69evYzycGFldO/evfV60j59+hSASlfVFifZFO8loeMJF5FIBD8/PyL35syZwztciEVInzUkk9h6b9y4sVbjn1B5BajGQ/ZANfVDz1jqu63pmqdwr3Xv3t3oE0qvXr2KpUuXoqamBp07d0aXLl0glUpx9+5dHDhwQG/ZsgiRC+a0dVPbkRC9gVuepsp/bRhjGDX1O4YWYutD5/D390dERATPg+2nn35CZWUlZs+erWFI1tV+/43zPUvr1JagTg1sqamp5BhvffHXTFUe9d0LwKCbv/phCyymKmiAajKwYMECvPvuuzh37hyOHz+OZ8+eoaKiAiEhIfjrr790pnn58uV4+PAhgoKCEBoaytuy+ueff+KXX37R+KbQcjt8+DAOHjwINzc3bNmyhWdgTE1NxaRJk7S+U18dsAN5eno6MjMzdW4NFVJWurzJAGDEiBEYPHgwLl++jFOnTiEyMhIMwyA0NBSjRo0yaSXXUB2bo0QbapOs10JwcLBRJzWqv9cYgase+NLOzg5bt26Fvb09CTar7d1cgVtTU0MG1unTp5sUDJY7WFdVVSEkJAS2trYkECirKBYWFiImJgY3btxAYGAghg8frlFOtra2OH36tFEx9sxJszl9moUV8NXV1di0aRMkEglWr14NZ2dn3oCVkZGBPXv2wN7enmeQFpJnwDj5ILTdqVNdXY20tDQAhrcssLB9yc7OTu+qcXR0NPE8evXVV8nv5sZfM3VxxdA3uScoh4SEoGvXrgbLQCaTkXLT56L+6NEjomgYGgPNKVehMu7JkydkRd3Y+rdU2+OmyZDXw+XLlwGo4oza29ubJRu4yrcpsT6FjPVC26wlxixTDNgymQxz585FYWEhxo0bhy+//JLoVwzDYOnSpQgLC9OYGJoyITLGW9FQnvSFftD3fXOe1yU7WrRogVdeeQXXr1/HnTt3cOfOHQCqfvTNN98YtQ2TLQ9bW1uTPXDYhQKpVAqJRILNmzdDLBajb9++vK2uQmQ8N9/chVlz+p25sCcwAsbNJ7j5NrSN6Pr16wBUMoHVVU1ZBOUiZDzholQqsWLFCmJcA1QeiOrvEdpnDeme+uRjUVERWdxR17GN8US+desWMRxx43Q2ZFuzZPy1xMREYlxbtWoVTweWyWR46623IBaL0b17d71jj6lywZy2LqQdCdEbzJH/+u7VF39N6DijbSG2vnQOdgt1UVERZDIZwsPDER4ejtatW/Nij6m/m9t+/43zvbrQqS1BncZg0xfA1pwJjzZYDyxj4q8ZMsAZq6BxcXd3x9SpU3HkyBGeN4ku0tLSiMWVe4IjC7tKrGuAM6Xc2BN9ANXJlurPsd9SLxtjVpi5K6Hs1tApU6bo3P9sTFnp8yZjsbe3x/Dhw7Ft2zbeaTqs26qpGKNEG2o36mk11CZZg56tra2gtJoicAGVge2HH36AXC7HnDlztG6p1SZwZTIZKQN9HiXaEIlExKB08OBBpKSkYMaMGeTbbD8rLi4mp+GxJ6ipl5NIJDJ6UmtOmllM7dNcWANbbGwsjh07hh49epDtcA4ODmSlZ/369ZBIJJg8eTLPa0BIngHjjK9C2506paWlpIyNfRcbn8XOzk7nSjUAIq/atGlDguDn5uYS2aZrC4Ch+GuW9kJlt0OweTKGvLw8omBqiwOqnmZjYkWYU65CZVxxcTH5v7H1b6m2x02TPq+H69evE4Vt8uTJAITLBqFeKeaO9aa2WXPGLO4ipDa0GbDPnDlD4v18+umnvLSyh7Ww+TDWO14drrei0DzpCv1gaKHKmPhtpuiwbGiGBw8e4NChQzh06BB27dqFM2fO4Pfffzc6xhnb/2xsbPT2eW1wTxI9evQojh8/rrE1FBAm43XVhSXGZKGYcpgGoNq6y6ZVX/yq2NhY0ie4J8QL9XQVMp5w+fHHH3Hx4kV0794dL7/8MgDg0qVLxNGBxdw+q033NHRKq646MMYTWalUYvfu3QBU/V+b93V9tzVLx1/bu3cvampq0KdPH57BgYXdVmfI88ZUuWBOWxfSjoToDebIf3336ou/JnS+p+379aVzcGPZJSQkYM2aNbCyssI333yj4Ymmq/3+G+d7daFTW4J6MbAJib9myuomABKMXNdKtjFC3FQFTRu2trbEiquvAu/duwdA1Yi4ccXU869vgDO23NLS0khASm0GQvadQlaYWUXt7t27iIqKQosWLTS2hppaVvo8BrXBnkbUuHFj3ql5pmCMEq1NUdJnCDbUJtkJSmJiosYprLowVeDa29uTWBd//PEHIiIi0KFDBzLZ5KJL4Do6OhJBKyToP2tsCg8Ph5+fH28bL7uiUVtbi5iYGPTu3VsjJgNbTjKZTOPkIl2Ym2YuxvZp9e8DwO3bt2FjY6NxkAQ70ERGRqJx48YaW5uF5Jl9H6Df+Cqk3WnD2dmZyCBurCF9sN+WSqW8OBFcdu/eTTw6Pv30U5IP1rUbgFaDdXR0tOD4a7oWV7jf1NaPuV4+QtqZruPkZTIZWS02JlaEOeUqVMZxA1ybWv/mtj3ugpmuxRyxWIwff/wRANC/f39iNBIqG4R6pQgZ6y2xkm5qfRYXF5PftfUviUSC+/fvazx39+5dACrZqB6UXyaT6fQ8EDIhMjVPxoZ+0CUr6yJ0xPnz5xEREYFOnTqhbdu2aNu2Lbp27WrwkAd12P4nl8tJWzGWFi1akDRv27YNALBw4UINQ6cQGa9rYdaSY7KpsHXh7+9vVDw0Z2dnsq1PV9kWFRWRUzl79Oih9SR2Uz1dzRlPNmzYgBMnTqB9+/ZYv349iaWlUCh4cd0AYX3WkEwy5CXI1kHTpk15ejpbVg4ODjp15S1btpCDHxYsWEB+b8i2Zun4a2ydaJujRUdHG22wM1UumNPWhbQjIXqDOfMwdYyR6aZ+p7Kykujp2tpwfekc3B1LK1euRHFxMSZPnqxV79DVfv+N8z0ultKpLUGdGdjqM/4aoLJgAirrJyvktb3PUgpaRkaGVuFw9uxZolBzT+tQh12pUiqVJO0s7ClC6t8UWm4VFRXkuvrxvwkJCTh37hypJ1NXmFlFnA3Uu3z5cg1Ba2pZafMmq6qqQlhYmMakLDExEX/88QcAYPz48byBYs6cOVixYoXBk0YtpUSre9UYapP9+vUDoFqZ+vHHHzW8o+RyOcLDw3m/CZnksV5s2dnZJNCltpgQugSuSCQix8JfuXIFR48e1chPcXEx6e/qcPfDL1myhLd1mHs6DTfIPxfuHv+VK1dqHE2vVCoRHR3NWxkTkmZz+7SuPE+ZMkXDVZ+b71mzZmkY7oXk2Vjjq5B2pw0HBwfSP2/evElWYFlqamoQERHBe3+fPn3I/0NCQshJQIBqIrBz505s3rwZgCp2DFuHAP/UKnU5dvHiRZ7ibalYVlzZzMbO4xIUFMQ7+Uhb+0lPT+dt/fHz8yMy8tSpU2TVn5uWmTNnkphBxiwymFOuQmVc165dST527Nih0WakUilu377N+81SbY+7YHbs2DGy9Yib5lmzZqGwsBAvvPACbzu8UHlmrleKKWN9fcVf49anvv6VmJiIWbNmkXu432T1C+4qMqDq/5s2bdKaj7qMv8bN0/MYf43dOnb37l28/vrrGDlyJEaOHImxY8dixowZ2LBhA0+u64I7MVm+fLlGHxCLxSSelzp2dnYkUDzDMOjdu7dGPFZAmIzXZVgU2u/++ecfzJw5EwcPHjRYJtrgxl8zVmeyt7cn7ejixYu8PAGqbUwff/wxxGIxfHx8eIcmCPV0BYSNJ+y9Bw8eREBAAEJDQ+Hs7Mzz9Dp69Civ3oT0WUMySddCvfp1XfJKLpdj69atvDYhlUqxZs0a4nn9ySef8BY5LdnWlEolQkNDMWPGDI361oal46+xdaIue4uKirB37169ZcvFVLlgTlsX0o6E6A3mzMPUsVT8Ne538vPzSf616Yn1pXM0bdqUeAVmZ2fjhRdewMcff6z1Xl3t998436sLndoS1JkJrz7jrwEqI0JRUREeP36MkSNHwtXVFcuWLSOr25ZW0NasWYOIiAj4+PgQL66srCyiNL733nu8SYw6bINWKpX48MMPMWLECNja2uLevXuIjY0VNMDpKrfAwEA0atQIlZWV+P7775GQkABPT08kJyfj5s2bJH9CVpi5Ww0mT56sdfXF1LLS5k32xx9/EMWhbdu2cHR0RGFhIelIPXv2xKxZs8g7li5dSg5eWLhwIfFy04allGj1lVFDbXLChAk4c+YMUlJScOrUKVy4cAGtW7eGo6MjysrKkJGRAWtra94AJGSS5+/vTzwPpk+frvM5fQrDJ598gujoaEilUvz000/YsmULAgICYG1tjaKiImRmZqJv375aBzdW4Pbv359sW2CxtbWFi4sLysvLMXz4cK2rP0FBQRg7dixOnjyJ+Ph4jB49Gq1atULjxo0hl8uRkZEBqVSKffv28QS4qWk2t09ry7O3tzc++OADjetsOv38/HhbS8zJs7HGVyHtThfz58/H7NmzUVVVhdDQUOzZswd+fn6oqKggJ9eePHmSlEe3bt0wcOBAXLlyBTdv3sSYMWMQHByM6upqPHz4EBKJBCKRCPPmzdM4zYp7ctiyZcswcOBAODg4ICoqCqWlpWjWrBmePHmiN/6aqauf3C3Wn3/+OQICAtC6dWt89913AFQT1U8//RQrVqyARCLBBx98QE5IUyqV5MSp+fPnk8mOSCTCuHHjcOjQIUilUkybNg1dunSBq6sr0tLSSLtkJ1HGjIFCy9UcGdeoUSPMmzcPISEhqKiowMKFC+Hh4QEvLy9IJBIUFBTAw8ODLOBYsu1x46/JZDJMnDgRnTt3RpMmTZCRkUFiiLRs2RK//vqrRjwxIfJMqFeKkLHenJV0ofXp4+MDGxsb1NbW4uDBg8jMzETTpk2RkpKCmJgYdO/enUzWuO/u1q0b7t+/j4yMDHz44Yfo168f5HI5wsLCSBrrM/4aN0/PY/y1bt26kTie7NZulqysLMTFxeH69ev4888/9W6h6tmzJwYMGICrV68iLS0NEyZMgJ+fHxo1aoTCwkIUFxdj2LBhOj08AwICkJWVBScnJ63xWFlMlfH6FmZN7XdisRhfffUVlEolpFKp0ScccjE1/ho3rbNmzYJCocCcOXPQo0cP+Pj4IDMzk7c7Yd26dbw2J9TTFRA2nhw6dAjbt29H06ZNsXnzZp6smzRpEr7//nsUFBTgypUreOONNwAI67OGdE9du24A1YIK61miK/6an58fdu/ejdOnT6N9+/aorq5GTEwMZDIZrKys8PHHH2vUvyXb2qVLl4ghKywszOAk3JLx19g6efjwIU6cOAGZTIb27dtDLBbjn3/+IXFTjRl7hMgFoW1dSDsyVW8wR/7ru9fc+Gvc73h7e8POzg4KhQIHDx5EeHg4RCIR9u/fT7zB6kPnsLa2RrNmzcg4/dVXX2k4vKi/W9vOvH/bfK8udGpLUGcebPpiHrCWT13KIzfWjrEF8fnnnxMvEXZ1tH379gCM66BsmtQ7Dvs7tzNWVlbC2toa1tbWyMvLQ0REBDm5IzAwEL/88otOqzFLz5498d5778Ha2hrZ2dnYvn07du3ahQ4dOpCVRHXBJLTcnJycsHLlSjIZ+f333/Hbb7+Rk8201VNeXp5RK8xsuTZv3lxrnk0tK4ZhtHqTSSQSODo6QiqV4uHDh7h16xaSkpLg5eWFefPmITQ0lKeMskKtbdu2eo1ruuoYMG9bMaC/TQKq1eFt27ZhwoQJaNSoEaqqqhAfH4/IyEgkJyfDx8cHU6ZM0ZpWUyZ5rNtwQEAA3n//fYPloE3gtm7dGrt370a/fv0gEolQWlqKmJgYREVFISsrC0FBQSTGmDqNGjWCg4MDlixZovW6h4cH7Ozs9G4tXrZsGRYuXAgvLy8wDIPU1FRERkbi8ePHsLW1xciRI9GsWTPBabZEn1bPMwAsXrxYa1wL1qNh3rx5Ol2VTc2zIfnAIqTd6aJTp07Ytm0bCbxbUVGBpKQkcqDG0KFDNdrSd999h4kTJ0IkEqGwsBAXL17ElStXUF5ejgEDBuDAgQNaJ1L9+vUjA3ZlZSXOnDmDo0ePwt/fHwcPHiSTVV3jja7FFe5Ypa4w9OrVC1OnToWtrS2qq6uRnJzMW1QAVIeurF+/nigLubm5iIqKQkxMDMrLy9GvXz8NZX3+/PkYM2YMAJW7fFRUFK5fv44mTZpg586dxKXflFgRQsrVXBn39ttvY/Xq1bzguomJiRCLxfD29taIJWOptsdVPDdu3Ahvb2/ExMTg2rVrePr0KVxcXDBr1iwcOHCAZ5hlMVWemeOVYs5Yb2qbNac+XV1dMXv2bPL39evXcfjwYZSXl2PHjh1EmVU3YE+bNo14JkZFRSE0NBSnTp3CtGnTiBHAUvHXTM2TrjHNWFkp9HltuphSqcS2bduwcuVKDB8+HGvXrsWqVauwatUqfPvtt1iwYAEZqzMzMzVW4bXx448/4v333ydeT1lZWXjy5AmKi4vRvn17nmcrF7lcTiZhixYt0rs91VQZr09emNrvlEolRCIR7OzseAuopmBq/DWWoKAgbNq0CQEBAWAYBpGRkTh37hxiY2Ph6+uLRYsWYf/+/RplZ2zb0oUp48nJkyexbt06eHh4YPPmzbw4rgAwbNgwEpPo8OHD5HchfVaf7mnIS9CY+Gs//PAD3nrrLRQWFuLmzZuIiIiATCZD9+7dsWPHDr1B2i3R1rh6mPq2NXV0zVMAYfHXAJW+x/b/CxcuYMOGDYiOjsbKlStNNhCbKheEtnUh7QgwTW8wV0dRR5dMN+c7jRo1wvLly8m4mJ6eDnd3d14Ms/rSOdg4bKNHj8ZLL72k9R597VdIWtXLoiHme3WhU5uLFWNo/9y/jOLiYigUCnh4eFgkkLI+KisryemCIpEIzZo1Myq+AxeJRIKUlBTY29sjMDBQp7XZEsjlcjx58gS1tbUICAgwaHgyhFgsxqRJk1BZWYkdO3boPADCUmVVU1ODZ8+eobS0FAzDwMvLC35+floNTRcuXMDXX3+NX3/9lQwADYUxbbKmpgZZWVmQSqVo3LgxPD09LdYWKisrUVRUBDc3N70BIE15X05ODsmTh4eH3v3s+fn5sLKygpeXl9breXl5sLKy0lAOdZGTk4OSkhI0atQIXl5eBuMimpJmS7RTQOUmXl5ervUgCUDV76VSqc7rlsizMViy3ZWVlSEnJweAahB1d3fXuz2ivLwcjx8/Rnl5OZo0aYIOHTroPSKeJS4uDk+fPoWjoyOCgoK0GlAsjUKhQFFRERwdHfUeHV5cXIz8/HxYW1vD09MTTZo00WsIZxVLpVKJli1bGt0e9CG0XM0lPz8fBQUFsLe3h6enp95yAoS3vcrKSgwYMAC1tbVYtGgR3nnnHdTU1CAuLg4lJSXw8PBAUFCQ0TE2TJVnQqnPsd4cMjMzSezBli1b8haF9JGVlYXc3Fy4ubmhTZs2Jgfe/6+zceNG7N+/H2PHjtXpMXbr1i2y6Hn48GFeMHd9KJVKZGVloaysDC4uLvD09NTb50NCQnD48GH07t0boaGhRufBVBmvD2P7nUQigY2NDVxcXCxTEQJ48uQJsrKyYG1tDX9/f41FlrrC1PHEVBq6z/7222/Yt28fnJ2dceXKFVhbW0MsFhNPk8DAQIMGeGMwpq1VV1dj6tSpcHJyws6dOxtEfimVSqSkpKCsrAy+vr5m6wOmygVAWFs3px2Zqjc8zyiVShQUFMDa2hoeHh46y6EudY6SkhJIpVJ4e3vztmcK5d8236sLnVoo/zkDG6X+mDdvHiIiIvD222/rtFY3BPHx8fj4448xYcIEzJs3r6GTQ6FQKBQLcfv2bRK74+DBg0YbgCiUhqKqqgoDBw5EVVUVfvvtN52eZVu3bsXOnTvh4+OD06dP18kkPzo6Gh988AEcHR3x559/mny4AoViKWbMmIG4uDi8+uqrWLduXYOlQ6lU4ttvv8W9e/ewe/fuelm0o1Ao/23q/hgFyn+SkydPIiIiAn5+fs+VEUupVOKnn37C6NGjn6t0USgUCsV8uPHJdJ06R6E8T1RXV5ODRw4fPgw/Pz9efMdnz57h77//xv79+wGotm3WhXFNLpdj1apVYBgGCxcupMY1SoNhTOie+iI8PBwPHjzApk2bqHGNQqFYBGpgo5hMfn4+NmzYAABaTw1tSKytrbFjxw6LuMZSKBQK5fmCe0Ib3YZI+Tfg7OyMN998EydOnMCtW7dw69YtODg4wMHBAVKplMRscnZ2xhdffIHBgwfXSTq2bt2KZ8+eoVevXhg3blxDFwvl/zHGxLyqL1599VW89NJLdN5AoVAsBjWwUUzmypUr6NatG7p162bwSOSGgA6SFAqF8t+jtrYWnp6eePnll3UG2aVQnkeWLVuGvn374uLFi0hJSYFEIoGtrS3atGkDX19f9OrVC8OHD7dYfE11iouL8ezZM7z88sv44osvGro4KP/PKS8vx8svvwxbW9vnwhOZzhsoFIoloTHYKBQKhUKhUCgUCoVCoVAoFDOg+ysoFAqFQqFQKBQKhUKhUCgUM6AGNgqFQqFQKBQKhUKhUCgUCsUMqIGNQqFQKBQKhUKhUCgUCoVCMYN6N7CJxWKEhITgrbfewqBBg7Bs2bIGLYDIyEiMHz8e48ePx7Nnzxo0Lebw9ddfY/z48fjhhx8aOikNwhdffIHx48cjJCTE5GcVCgU5xet5w9Jpk8lkmDBhAsaPH4/z5883SJ4qKysb5Lv/JQ4fPozx48dj6tSpUCqVvGuG2kxRURGOHj2KkJAQrF27FgUFBeRadHQ0vvzyS4wcORKDBw/GiRMnGjqrlOec/8oY2pCEhoZi/PjxmD9/vsnPxsbGkvJPSUnRe+/zIP8pdYtCocCkSZMwfvx4nDp1qqGTo4FSqYRcLm/oZFgMuVyOvXv3Yvr06Rg8eDDGjBmjd/x9XuTl86z31icymQz/X0KRC5UNjx49wrJlyzBq1CgMGjQIR44caeis/Kupi75nzhzYEtB5nSb1amCLiIjAW2+9hcOHD+Pp06coLS2Fn59fgxbAnTt3kJGRgaKiogZPi1AUCgWuXLmCjIwMNG3atKGTU+/IZDJcv35dUP6vXbuGgQMHYuzYsRqGioamLtIWHR2N9PR0ZGRkoGXLlvWan+rqanz00Ud49dVXcfLkyXr99n+Nq1evIiMjA40bN4a19f/EuKE2c+jQIYwcORI//fQTDh8+jL/++gsuLi4AgK1bt2LWrFkICwuDWCyGRCKp9zZC+ffxXxhDG5qwsDBkZGTA09PT5GfZ8s/Ly0NAQIDeextS/lPqh9jYWKSmpj6XdZyVlYXRo0djwIABSEtLa+jkGOTo0aPo06cP+vTpg+TkZI3rubm5mDJlCkJDQ/H48WNIJBJ4enpCJBLpfOfzIC+fZ723Ptm0aRNeeeUVLF++vKGTUi8IkQ27d+/Ge++9h0uXLiE3NxelpaUGxxmKbuqi75kzBzYXOq/Tjcj8VxhHVlYWPv/8c8hkMrz88stYtGgRmjdv3uDC/cGDBwCAHj168Caq/yZiY2OhUCgAAMHBwQ2dnHonOjqarAaYmv+DBw+S1dTnrf7rIm2RkZEAABcXl3o/Gj0qKor0t7osa4lEglmzZoFhGMyZMweDBw+u13zWNQqFArGxsQA027u+NnP48GGsW7cOADB06FD07dsXjRo1goODA86ePYudO3cCAD744ANMmjQJzs7OsLGxaejsWpwFCxYgKysLr776KhYsWNDQyfnX818YQxuSgoICZGVlARA2frMyvVu3bnon9tx7G0L+/3/i1q1bRNZu2rQJvr6+9fZtto4dHBwQFBRk8P76lIenT5+GWCyGlZUVbG1t661MhHL//n1UV1fD2dkZrVu35l2rqanBp59+imfPnsHf3x9ff/01OnfubNAb6nmQl3WhW/7bxtXq6mrs3bvXomXwvGOqbAgLC8PmzZsBADNmzMA777wDFxeXBi+v7du34+LFi/Dw8MD27dsbNC2mUhd9z5w5sLnU17zu30i9Gdi2bduGyspK+Pn54eeff4a9vT2Ahq0QmUyGxMREAP9uw5SpQvO/Bpt/Z2dnkycNU6dORcuWLTF58uSGzka9pK0hlbuOHTti4sSJaNasGUaNGlVn34mMjER6ejoAaCjF/wX0GdR1tZnCwkL89ttvAFSK0rx588i1mpoacm3MmDGYPXt2Q2exzpBIJLh16xYAoFmzZg2dnH89/5UxtCFhZTJgehnqM7br+xY1htYtt27dQkZGBtzd3evVuAaYZnCtb3k4ZMgQFBYWon///mjevHm9losQHj58CEB7fzlz5gySk5NhZWWFtWvXGuXV87zIS0vrlv/GcdXW1hZz586FRCLB+++/39DJqRdMkQ1KpRIbNmwAoFqQ5eqMDc3ly5eRkZGBwMDAhk6KydTFvK4hF87qa173b6ReDGxyuRxXr14FAIwcOZIY1xqahrT6WhJThOZ/EXMmDf3790f//v0bOgv1kraGVu6cnJzw+eef1/l32P7g4eHx3G2RsWT+tBnUdbWZM2fOoKqqCnZ2dpgxYwbv2oMHD1BYWAgAGD9+fENnr05hyw4Aevbs2dDJ+dfzXxlDGxK2TTZr1sxkY4wp3usNLf//P8HWaX2Xs6kG1/qWh61atcI333xTr2UilNTUVJSUlADQXpYXLlwAoCo3Y7fMPS/y0tK65b91XFXXhf7LmCoboqOjIRaLAQATJkxo6OQTJBIJUlNTAfy72hpLXcw5G3LhrL7mdf9G6sUaEx0dTVwi+/XrZ/D+0tJSJCUlobKyEj4+Pmjfvj2srKxM/q5cLoeDg4PO69o8nwoLC5GSkgK5XI5WrVqhRYsWBr+Tn5+P5ORk1NTUICAgAP7+/jrvra6uRmpqKvLy8lBbW4smTZqgffv2cHR0NPidnJwcpKWlwdraGm3btoWnp6fJQlOdiooKiMViVFdXo3HjxgYVfCF1U1BQgLS0NEilUtjb26NFixZGlStbXrm5uZBKpXB2dsYLL7zAMyLKZDIkJCTw8q9UKpGYmIj8/Hw4OzujU6dOetuBMbCTE4lEAm9vb3To0EGvIJPJZHj8+DHKysrg6+uL9u3bk/tzc3Mhl8stYvwxpT60KXeVlZVITEwk6WzXrp3B+pRKpRCLxbCxsYGPjw8aNWpkdj7USU9PR2ZmJqytrREUFIQmTZoY/Sx3sDGVqqoqFBUVwdvb22RjNcMwSE5ORm5uLuzt7dGuXTuT0q1OWVkZEhISIJfL4e/vT5R4IQb18PBwAECvXr3g7OzMu3bnzh0AQOPGjdGhQweD70pLS0NmZiZsbW3Rvn17uLu7m5QvXXK5pqYGCQkJKCwshIuLi0n91tj+ybYNDw+Peo0jYkqZmTNGGCrn2tpa5Ofno7y8HK6urvDx8RE0trI0xBhqCoWFhRCJRGjcuLHJz1pKDzEE2yb1jd/V1dW8GE9BQUGwtrY2yXvdUvIfsGx9GRrj1amqqkJiYiKKi4vh6uqKjh07mj2+G4sx4xJ3AmiMTlZRUYGEhASUl5cbpVsA/xtrcnJy4OzsjI4dO8LR0dHkcCHmysPc3Fy4ublZXAcoLi4mh+/4+Pjo7b/mjBv64BqN1MtSLpcjOjoagHFzGvV3Pq/yUh1jdWlT25G56ZfL5bC3t68TeayOufqOOTplQ8oGVi90dnZG586dDd6fnZ2N9PR0KJVKBAQECPJQra2tRW1tLezs7HTew/X4FmJgM0dmWSKPxmDKGGdoDsw+b8ixqT7mdUJk3b+ZOjWwxcTEYMGCBaiuria/ffTRR0Qorl+/Ht27dyfXoqKisGvXLty9e5cXx8DX1xdLlizRavXdunUrDh8+DDc3N5w8eRKZmZnYt28fLl++jHnz5um1vHMn4vn5+Vi/fj2uXr3Kiwv35ptv4quvvtL6/L1797Bt2zbExMTwfu/Rowd++uknniCWSqUICQnBtWvXIJVKefc7ODhg7ty5Ol1G7969iy1btiAuLo78ZmNjg8mTJ+Pll182Of5aTU0Nzp49ixMnTiA+Pp6XX19fXyxcuFAjbpWQurl8+TL27NlDVs25dOrUCT///DN8fHx05vnw4cO4d+8eqqqqyO/Ozs6YNGkS5syZA0A1aaitrSX5P3XqFLZv3468vDzyjLu7O3777Te0a9eO941ly5bh9u3b6NChA7Zs2UJ+Z9uUq6srjhw5gh07duDo0aO8U1KCgoKwefNmDWNFZWUlDhw4gN9//513f7t27TB9+nT8/vvvePz4MSZOnKjX6q8rbebUB9eN2NfXFyEhITh16hRkMhm5p3nz5li9ejU6derEe7a2thYnTpzAoUOHNE6+atu2LX766Se9wvLJkyf48MMPAQA///wzXnrpJVJeo0aNQm1tLT755BO0adMGa9euRXx8PHnW1taWnGCkj0WLFiEqKor0r2vXrpFymDlzJqZPn46wsDB89913AIC///4brq6uvHf8/PPP+Pvvv3HgwAENY9PevXuxd+9eDBkyBEuXLuXV+cGDB3H06FEUFxeT362trTFkyBB89tlnGt/RR0ZGBjZv3oxr166Rtg0Affv2xfLly3Ua1LW1GfUyiYiI0Ggb7OJHWVkZBgwYAEAlk86cOUMUQoZhcPz4cezfvx/Z2dnkWSsrK4wfPx6fffYZL15bREQEvvzySwCqILleXl74448/8Pfff6NLly68046lUin27NmDY8eO8WSjo6MjFi9ejLFjx/LSK6R/7tu3D3v27CFtvaSkhJRD9+7dsX79eq11kZKSglmzZgEAvv32W50rj0uXLsWdO3cwevRofPrpp4LKTMgYYWw5P336FLt378Y///zDO73K2dkZEydOxMcff2x0++RSn2OoNqZOnYqsrCyMGzdO4wTOzMxMTJw4ES+99BLZ6sIt67fffhsymQz79u3jBRsXIlt/+OEHXLp0Ca1bt8auXbs0rp85cwYhISGwsrLCyZMn4ebmBsBw/DWpVIqdO3fi+PHjvPbdokUL/Pzzz4Ljr5kq/y1VX1yMHeNZsrOzsXv3bly8eJF3CqWjoyOmT5+O999/X2PCfe7cOfzyyy8a5c6SlZWFqVOnAgBWr16NV155BYCwcam6uhojR47k1dOGDRsQGhoKAPj111/RtWtXcu3Zs2fYunUrrly5wuuTL7zwAn744QetdaBUKnH8+HHs3buXeJewZbZ06VJkZGQAMGxwNUYeFhYWEv151apVePXVV3nvOHv2LFasWIGFCxeSMmSJjo7GwoUL8cILL2D//v0QiUT4888/sXnzZtjY2OD06dMaEziJRIK//voLZ8+eJX2CJSgoCN9++y1atWpFfjN13DAVbduu2DqWyWSkzrZu3Uril06fPh0zZ87U+c6GlpeAbt2SO5bs3LkTjx8/NqhLmzqumpJ+bh+cP38+xowZgzNnzuDIkSMoKSnB+fPnSZsCgOPHj2vNv0KhwMyZM5GdnY2vv/4agwcPhlKpxOjRoyGVSjF58mSNsBimjN11oVM+D7KBlbEVFRUYNGgQAJXMO3PmDDHWMAyDs2fP4sCBA2RRgaVLly5YtmwZ2rRpo/GNjz76CImJiXj11VexatUq3L9/H/v27cPDhw9x6NAhrUZa1p7AzneB/3kg2tnZ4ezZsygtLbWozDInj9owNK8TMsZx58Ddu3fHkSNHsHfvXrJAwbaBxYsXa8yh6mpex63jV155BXPnzjVZ1v0XqFMD26NHj1BTU0OUJxsbG9IQRCIRETZKpRLr1q3D4cOHAahWrDp37ozy8nJERkZCLBbjs88+w5o1azSU2zt37kAqlaJnz544ceIE1q5dS76nz7rNtfoCwNtvvw03NzcMGDAAJSUlJPbCiRMnMGbMGJ5AYxgGv/76Kw4ePAhANfENDAxEZmYmrly5gocPH+Kbb77Bpk2beN87c+YMfH19ERQUBFdXVzx79gxPnjyBXC7H2rVrERwcrLF/OjQ0lATidHV1Rffu3WFjY4O4uDgcPHgQ165dA2B8/LX09HQsXbqUnIjk5OSEpk2bQi6XIzs7GwUFBTxhYW7dPH36FB06dMALL7wAmUyGR48eQSqVIi4uDmvWrNE4UriiogKrV69GWFgYaScBAQGwsrJCVlYWpFIpXnjhBXI/qwTZ29tj7969uHbtGrp3746OHTvi0aNHKCwsRHFxMUJDQ0mcKTZfbNtRN7yxv/v5+WHmzJnIy8tDz549UVtbi8jISMjlcsTHx+Po0aM8F/Py8nJ8+OGHSE5ORpcuXTBixAgolUrs3r0bSUlJWLZsGRwdHREQEEAUeW3oS5s59cEqd+7u7njnnXdQVlaG7t27w8nJCbGxsRCLxcjMzMSCBQtw6tQpYpyora3F4sWLER4eDhsbGwQFBcHOzg55eXnE+9HQaVj379+HVCqFtbU1OnbsSH6PiopCaWkpANUA+tNPP6Fdu3YYPHgwnj59itTUVFRXVyMkJATDhg3TOYmsqalBXFwcb1CysbEhygm7AicSiYgyzh2oAdV2q7///hsAyJZJFolEgj179qCqqgrTpk0jvyckJODzzz9Hbm4ubGxsEBwcDHd3dzx+/Bg5OTk4f/48MjIysHv3bqNWLy9fvowVK1ZALpfD1tYWPXr0QJMmTZCWlobbt29j1qxZWg3q2toMWybcyatIJNI4Hpz9m3utXbt2JL1SqRRLlizBgwcP4ODggKFDh8Lb2xsxMTGIiYnB0aNH4e3tjffee4+88969e5BKpXB1dUVZWRnmzZuH/Px8APxtGSkpKVi4cCHEYjG8vb3xxhtvwM7ODuHh4cjKysJ3332HgIAAdOvWjTwjpH/GxMSgurqaN/6wedVlTABU2/bY9sLG9VPnwoUL+Oeff+Dl5UWUDSFlJmSMMKacHzx4gAULFqCqqgpeXl5o0aIFysrKkJOTA6lUKjhOYX2PodpQKpWQSqUaBkkAWLNmDaqrqzX6MqCaRIjFYowdO5bILnNk6+3bt7XKa5aIiAhS1lwjj774a0+fPsXChQvJBK9Dhw5o0aIFCgoKEB0djfnz5xPZaYq3kqny35L1BZg+xgMqA+VPP/0EuVwOJycnvPzyy7C1tSXjytatW1FWVkaM2yx3797VWu7cMmHbDtdLQ8i4lJSUhIqKCiKf2YlQTU0N7Ozs0L59e/L+S5cuYdWqVZDL5WjXrh169uyJiooK/PPPP8jJydFaB5WVlfjss89w9+5dACrZ1KFDB8jlckRGRmL58uXw9vYGYNjgaow8dHBwIGXDNcICKvm2ceNGANDav3777TdIpVJMmzaNpIPtAx06dNAwrl2/fh2rV6+GRCIBoPKEcnd3h0QiQUFBAcrKynjeIkLGDVNh5Vf37t2J1xBbx1ynAbaOuWWnjedFXurSLdmxxN7eHjt37jRKlzZ2XBWSfm4f9PHxwezZs4nX4Ouvv05+Z9toVlaWVgPbrl27kJSUhN69exPHgSdPnhAjFFcfBUwfuy2tUz4PsqGmpkarXtihQwdiXJNIJPjyyy/JuNK2bVsEBAQgKysL8fHxePToET788EMcOHCAF5evsrISUVFRqK2tRWBgIH744QccP34cgH4PSNaewJaxeluztbW1uMwSmkdt6Ot7gPAxjp0Di0QirF+/HtHR0ejSpQu6d++OZ8+eITExEVKpFCtXroSfnx9xaqrLeR23jisqKkySdf8pmDpGJpMxL730EhMcHMzs379f6z1fffUVExwczPTr1485ceIEU1tbS649efKEee2115jg4GBmxIgRjFKpJNcqKiqYXr16McHBwcybb77JBAcHM++//z5z4MAB5urVq3rTdfv2bSY4OJgJDg5mXnvtNebcuXO8d+/bt49cP336NO/ZkJAQJjg4mOnfvz/z8OFD3rXjx4+T58RiMfldoVAwSUlJGun4448/yP1//fUX79qmTZvItc2bNzMymYxcq6mpYdavX0+uz50712BdJCYmMgMGDGCCg4OZ8ePHMzdu3GBqamrI9cLCQubGjRsWqRuGYZi0tDSmoqKC91tpaSkzZswYJjg4mBk8eDDvWnl5OTNlyhRSJ0eOHOE9L5PJmAsXLvDSMH36dFIGCxcuZPLz88k1qVTKvP7660xwcDAzatQo3rcSEhLIczdv3tTapnr27MmEhobyyj0uLo489+233/Le+cUXXzDBwcHMF198wSuL8PBwJjg4mHnxxReZyspKg/WkK23m1EdlZSXJ10svvcTs3LmTl6/q6mry7uDgYObo0aPk2p9//skEBwczw4YNY7Kzs3npKSp7Wx83AABzfElEQVQqYlJSUgzmadGiRUxwcDAzdepU3u+//vor+eb48eOZ2NhYck2pVDILFiwg13Nzcw1+5+eff2aCg4OZ119/Xev1u3fvkvfl5OSQ32tqakjbCw4OZo4dO8Z7bu3atUxwcDCzdu1a8tvjx4+ZV199lfQ/9fetXr2avO/kyZMG0x4eHk7qaNGiRUxBQQHv+j///EOu9+vXj6murjaqzbBy5NVXX+X1d4ZhmBs3bpDnkpOTNdJUVVVF+tg777zDqwOlUsl8/fXXTHBwMDNmzBjec9OmTSNtpl+/fszYsWOZzZs3MxcvXmRKS0sZhmGYzMxMZuDAgUxwcDCzYsUKXt+QSqXMuHHjmODgYGb16tXkd3P6Z1hYGLn29OlTg/XBMmLECCY4OJhZtWqVxrXCwkKSh/DwcLPKTMgYYaicFQoFM2zYMCY4OJjZsmULTybU1tYykZGRGnLbWOp7DNXG+++/T9oPl8uXL5N3DBkyhHetoKCA6devH9OvXz9eHxMqW7Ozs8m3wsLCtKaTrYOff/6Z9zsrI0aPHs37PTc3lxkyZAiRi48fP+ZdT05OJu8MDg5mYmJi9JaTOfLfkvUlZIw/duwYef+6det490skEmbq1KlEHmRkZPC+x/Zd9XJXr/OJEyfyfjdnXJo4cSITHBzMfPnll1q/eeXKFaZnz55McHAwc/jwYV5bSk1NJfryuXPnePXzwQcfEDl+/vx53nMSiYSZPXs2SdPu3bsZQxiShzU1NTr77y+//EKuLVu2jHft2rVrRPaxaaytrWX69+/PBAcHM+vXr+fd//fff5PymD9/PpOQkMC7npyczCt/IeOGqaSkpJD8HTx4UOP6e++9xwQHBzMLFiww+p3Pg7zUpyewY4mpurQx46qQ9LN98MUXX2TGjBnDDBw4kPn++++ZM2fOkH6elpZGnj179qzWenzppZeYfv368XTXgwcPkneXl5eT34WM3ZbUKZ8X2RAREUHuVx97GEY1j3vrrbfI2BUVFcW7fvr0afL8N998w7vGzofYeftLL73ELFmyhDl27JjBcaykpESnLsSWuaVkljl51Ia+vmfOGMedA3/11VdMXl4e7zo7fwsODmaWLl2q8XtdzOu4dWyqrPsvUefR8FhrOKB9lfXgwYO4cOECRCIRNm7ciLFjx/L2mAcGBuKdd94BAIjFYp6LJmshBVSu26yr9tSpUw0GEWStvo6Ojti2bRuGDRvGc73keoNx4z9cv34df/zxB6ysrDS2uAIgW6zY9LLY2tpqPd2DG7+Bu8f63r172L17NwBg4cKFmDNnDu+6jY0N5syZQ9yUDe1FLysrw+LFi1FWVoZu3brhwIEDeOWVV3hblDw8PHieVebUDQC0bNlSY6XS1dWVWKvVYwp98803SEpKgoeHB/bt24eJEyfynndwcMCQIUNIGiorK8mK4PDhw7Fu3Tp4eXmR+52cnEhsB/UYHmz9W1tb81Y5uW3qq6++wty5c3nlzo1Rw31neno6wsLCYGNjgyVLlvDakoeHBwDVCoYxMSN0pc2c+uC6EYeEhOD999/n5UskEuGTTz4hf3OfPXv2LADVASXqngXu7u4GPWCUSiWioqIAaMoANq+tW7fG7t27eSsZVlZWvFV/Y7ZZGgouzW1P3FXoo0ePIikpifQH7gqXWCzGX3/9BWdnZ3LaVFlZGT7//HNUVFSgX79+2LBhA5o2bUqesbGxweLFi8n32BO2dFFcXIwVK1agtrYW/fv3R0hICDw9PXn3DB48mJSP+iqkrjbDvcZ6v2q71rhxY631GBoairi4OHh7e2Pjxo28GI1WVlZ47bXXSBmxsHGdANUK4KJFi3Ds2DHMmTMHb7zxBlxdXaFUKrF06VKUlpaiT58++Oabb3jywMnJCb169QKgipnBIrR/cvPq7u5uUrwh9l51F3oA+PHHH1FaWoqRI0cSWS6kzADTxwhjyvn+/fvIz8+HlZUV3nvvPZ78sba2Ro8ePQTHsanvMVQbbP/iemXK5XKsW7eOtPXi4mLetoSdO3dCLpdj6tSppI+ZI1sNnQKamZlJvArVr7PPcsdvhmGwfPlyFBYWolmzZtixY4eGd3qbNm0wcuRIUv7GxF8TKv8tWV+mjvGxsbH45ZdfAABz587FokWLePe7ublh0aJFpNzYuEGAKmYtmx5d4wG7km6pcclQ/DWxWIxvv/0WDMNg7ty5mDRpEq/PcOPScOXezp078fDhQ4hEIvz2228YOnQo7zk3Nzfe1kRjYhMZkoc2NjbEW4U7Vj558gR//fWX1rFSqVSSLXsLFiwgaXzy5AnKy8s10hYbG4vvv/8eDMPgnXfewa+//sorW0DV1tnyFzpumIqh+GuPHz/WWceG3tmQ8lKXnsAdS4Tq0rrakdD0s+9VKpXo27cvTp06hWXLlmHEiBGkj/j5+RFZob6tWKlUYvXq1aipqcG8efO07nxp164dzxNMyNhtKZ3yeZQNTk5OWr2tli9fjrS0NPj6+mLXrl0aOufIkSPJd9R1X27f8vb2xtGjR7FmzRqMGzcOXbp0MSpduvJhSZllTh71pV2975kzxnHnwFOnTsV3331HPBVZ3nrrLeKJVt/zOlNl3X+NOjew6euohYWF2Lp1KwBVjCRdQcm5rvtFRUUa73ZxccGePXtMCnjIKrYvvviiVgHCFdbsVtba2lr8+uuvAIBhw4ZpdT/nblFzcnLSuF5RUYGsrCyUlZUB4E/aWMWCYRgSu6Bnz54ae8VZYmNjefHH9LFr1y6IxWK4uLjg559/Nhgw29y6YWEYBnl5ecjNzSVpzczMBABeud+4cQM3b94EAKxcudKooKfcScOUKVO0ThTZelSfgOgaYLlBaEePHq3xvtzcXBKXh/tOtj21atVKwzDCCqE2bdoYFXxXW9rMrQ82fc7Ozujbt6/WZ318fEhwUYYTe4gtw9u3b5OJoinoUq65St3o0aO1GtDYbwcEBBgMumlMcGltylBxcTG2bNkCHx8fEqOAOwBv3boV1dXVmDlzJtlmxPYnNzc3rFy5UqvLvaOjIxmktPUNLrt27YJEIoGbmxuWL1+uNZCtQqEgg6m6rNPVng1NBrgxYdT7T1ZWFv78808AwOzZs7Vuv2C3n3LLlWsECwkJwfjx4zXyc/78eSQkJBCDtLrhT9e7hfZP7rOmHgbDThpYucVy4cIFXLt2DZ6enli8eLFZZcbFmDHC2HJmtxcyDIMzZ87w+rW5NNQYyoUtQ64yvXPnTojFYnzwwQcAVIogGxsxMzMTJ0+eRJMmTfDuu+8CsJwe0rp1a63Koq7Jen5+vtb4a1evXiWGnxUrVug8KIXdLtW1a1eD28+Fyn9L1pepYzzDMPjll19QU1OD4OBgnSf+GRrz1MuXRZfh05xxydAEcPv27aioqICfnx9pf+qoy4eCggLs378fAPD+++/rnISy7cHR0dGow2qMkYesnsj2L4Zh8PPPPwMA2SLHHSvPnTuH1NRU9O3bFy+++KLGt7iTS279du3aFQsWLDCYZqHjhqloi7/GYshpQBfPg7zUpSdwxxKhurS2shCafm4fnD59Oj7//HONeMeAalGKXdhUN7D9+eefiIuLQ6dOnTBx4kTyuy7DgNCx21I65fMoG7Qtyt64cYMcmvXtt99qzHdYWKN4aWkpbwGMGzc0NDTU4DZEbenSt0hqCZllbh71pZ3b98wd47hz4KFDh+r8Nru9vj7mddy8miLr/ovU+Smi+jrq8ePHIZfL4ejoqNOIpI42ZSY4OFhnB9AG1+qra4BkBXBAQADxQLp//z6Z7ISHh2PYsGEaz7GdzMbGhhcc8OLFizh48CAvBkOPHj2ItdnNzY1Mxh88eEBipLEBtvWVrSGhKZfLcezYMQDApEmTSH70YW7dFBYWYtu2bfjnn3/InngXFxdMnTqVDJzcsj906BAAldDt3bu3Ud/TdiITl5ycHBLokTtpMsbyruu4Y/Y59XdyA8UzDEMUFLFYjH379gEw7khwXWmzVF/Rd4yzXC4n8Q248QQ6d+6MmzdvIjExEaNHj0bv3r0xcuRI9O/f36i4YsZ4C+rqh6xiYIwia8xR8dqUoV9//RVSqRTLly8n/ZsdgFNTU3H27Fn4+vri7bffJuXE9qe33npL7woM2w70GbRlMhlOnjwJAJg4caJOT71Hjx7pjL+mqz3rmwxIpVI8efJEZ/meOnWKPLtlyxZihFBPOwBe8Gm2HlxdXdGnTx+teWHLD1AFQ9UGG3+Fu5ImtH+aerIfF/a038LCQshkMjg6OqK4uBhr1qwBAHz99ddwcXExq8wA08YIY8uZ63nzww8/YM+ePRgyZAgv9pgQGmIM1Qbbr9h+kZGRgYMHD6Jt27aYOXMmdu/eDYVCgcLCQnh6emLz5s2oqanBhx9+SCZzltRDtMFOrNUNcLoMQOxY2KNHD53GPoVCQQ49MsUjwVT5b8n6MnWMf/jwIWljH3zwgU5PS+7v2urFVMOnOeOSvglgRUUFLly4AEAlS3Qd2sPqLGxfP3bsGBQKBRwdHYkXpTbYbxtjcDVWHjZq1AgSiYS0i9OnTyMmJgaTJk1C3759sWPHDjJWKhQKbN26FVZWVhoHjmibXEZFRZH6/eijjwyejsiWBYsp44YpMAyjt78Y8u7RxvMgL43Re03VpQ21I6Hp5/bBIUOG6C3b5s2bIzs7m3cYgVgsxubNmyESiTQWLHUZBoSO3ZbQKZ8n2WBoUfb3338HoJrT6xt7WLlsb29P5v5cw+mgQYNMPlXVmEUBS8gsc/KoDV19z1JjnK5+y8K2d66nWl3N67h1bIqs+y9SpwY2Qx316tWrAIDevXvrXXl5+vQpAFVFspMdYypRF+onT2pDW0dmV19FIpHO1TEbGxv4+voiMDCQrAZv2LABBw8ehI2NDV599VX4+/tDLBYjPDycrFRzPUjYcmnSpIlOBZubRkNCMyIighiA1E8H1YU5dZORkYHZs2eTLS5Dhw6FSCRCdHQ07+QUVnBJJBKSFzZ4qTEYmjTomsAY41FlqF2oC4a+ffti48aNyMvLw/z58/Haa68hPz8fx44dQ2lpKWbPnq13hcFQ2sztK4aUOwC8iT13lXL58uX47rvvcP36ddTU1CA8PBzh4eHw9/fHpk2beG70+spMl7egtlViwLgtPtq+Y8zqFqBShqKjo3H27Fn06dMHAwcOJAFpWUVm06ZNYBgGH330EXE9N7Y/KZVKEhhf3ylDt2/fJiuT+t6ny6BuzEqStslAVFQU2TqnrXxZeefk5KRTvjg7O2t4xXD7pTaFQSKR4NGjRwBUxiFdigm7gsymzZz+aYzxVRdsPwJUXi9t27YlW0NHjBiBl19+2ewyM3WMMKacAdXq4MqVK7Fx40YUFRUhNzcXe/fuxb59+zB37lyjjP7aqO8xVBfqHmzsavDSpUthY2MDd3d3iMViFBYWIjExEf/88w9atGiBN998k7zDHNlqiW2Ifn5+5DTt4uJicsKePlmgy9iuDXPkv6XqS8gYz9ZL48aN9epBaWlp5P/aDNCmGj7NGZf0ffPu3bukzvQtyvj6+vKCRrPl0LdvX511INTgauh+7hbs8vJybNy4ER4eHpgzZw4xZFVUVEAmk+H48eMQi8UYNWqUxkFZ2iaXV65cIWVhzPgudNwwldTUVHLYgrZ36HMa0MXzIC+N0RNM1aUNtSOh6ecuHgUGBuotW39/f0RERPC8Yn766SdUVlZi9uzZGgtZugwDQsduS+iUz5Ns0LcoK5FIyHjGniyqC3a8bNmyJdFPjFm80IUpiwKAcJllbh61YWheZ+4Yp2/hTKFQICUlBQD/QI+6mtcZU8dCd5P826hTA5u+jlpdXU0ajSEXwevXrwNQNSLu6pfQjipUgWK9yoKDg406LQsADh8+jIMHD8LNzQ1btmzhfS81NRWTJk3S+A5rlGzfvr3eTmOs0GQVZ1tbW43BRhvm1I1MJsPcuXNRWFiIcePG4csvvyR5YBgGS5cuRVhYGC/m05MnT4jrqiVXBA1NtoV4VOkSDC1atMArr7yC69ev486dO2SffLt27fDNN98YjAmoL23m9hVjlDtAdYIloDLsdu3alfzepEkTrF27FmlpaTh9+jROnjyJ8vJyZGRkYO/eveRod20Ys2rKPaWLi6EtPsbWDRfuBLqqqgohISGwtbXFF198AeB/ynlhYSFiYmJw48YNBAYGYvjw4eQ51shjZ2entz9FR0eTbX7qx4VzYfu7g4OD3vfpMqjXRfy1mpoaojxMnz6dd9qlPowxgrGDPaDa2shta/owp38Kjb8GgHd/ZmYmnj59iqtXr/K2hppTZkLGCFMWmEaMGIHBgwfj8uXLOHXqFCIjI8EwDEJDQzFq1ChBK4j1OYbqg6tM//PPP7h79y7Gjh1LtlRwDWx//PEHAGDevHmk/5grW82Jv6atrSYkJOjc4qztWWO2/Jgj/y1VX0LGeLZ9t2vXTq93E1svDg4OZIuPJQyfpo5LhiaAbFna2tri9OnTRsU+lMlkRrVPUwyu3DwakodcA/amTZsgkUiwevVqODs788agjIwM7NmzB/b29pgzZw7vHboml2z9tm3b1ijvNaHjhqnUZfy1hpSX5nicGNKldbUjoek3ZvGIhd3+VlRUBJlMRgwFrVu35sUeU3831zAgdOwGLKNTPo+yQduibHJyMpHjhnZNsSeasnHruO82xnCqK12AcYsCQmWWuXnUl3b1vmfOGGfswtmtW7eIQwA33mFdz+ss5Tjxb6ZODWz6OmpZWRlR+vRtn4qNjSUKzYQJEzTebU5HNXW1hlUSbG1tjfpObW0t9uzZAwB49913NRobd98zV2CwASz1BXU3RWiy8WdsbGyMUmTMqZszZ86QWG+ffvop73tWVlakY3EHTjZ9ppQtd9KgS9gammxbyqOqtrYWCxcuRGxsLNkGI5PJ4OPjY3AVQFeauWmzVF/R50ZcUFBAtilOmjRJ68psq1atsGDBAkyePBnjxo2DXC5HZWWl3vwY4y1oqP6McSM2dnVLJBKR470PHjyIlJQUfPDBB2S7HPud4uJicqT3ggULeO24pKQEgMrApq8/sX2/TZs2GoF9ubD93dnZWadipc+gXhfx12QyGWlzhryIuBhjBGO3jJv6bnMGbl2TaWNwd3eHq6srysrKEBMTQ4LDLlu2jCejhZSZ0DHC1AUme3t7DB8+HMOHD0dISAgOHz5M0iyE+hpDDcEq06WlpVi/fj1cXV0xb948cp2d3Jw/fx6RkZHo0qULBg4cSK6bK1vZdtWyZUuLxF/jBq9mtx3rK39jtvyYI/8tVV9CxnjWi0hfvUilUhI3adSoUSTGKbfctXkGGBN/zdRxiW0Lup5ly1IkEhl9sEheXh6Z7OnTB00xuHLTakh2sP0rNjYWd+7cQY8ePcg2PwcHBzg6OkImk2H9+vWQSCSYMWOGRpBtXZNLtk0Y2x6Ejhumwh1n1OcWQuOvPQ/y0hiPE1N1aUPtSEj6Td2dxI3lmJCQgDVr1sDKygrffPONhmzUZRgQqu8AltEpnyfZoG9RltV92ffp4vDhw5DJZLCzs+PFyjXFcKoO29aMXRQQKrPMzaO+MlXve+aMccYsnCmVSnJYYs+ePbXupLHkvI6bV1Nl3X+ROj3kQF9HdXZ2Jr+xwlSdoqIiLF26FICqsrhbJoR2VHM8n1gFOjEx0WBAQ0Dl1skGJNQW3FOXBwmbn4yMDJ3vZvfrGyM02SCacrlcZ1lzMaduWIt+hw4dNAL6y2QyrWXPpg/gx1DShz4lCNA92TYn/pouwXD+/HlERESgU6dOaNu2Ldq2bYuuXbuabFzTlTZL9ZXOnTtrzVd1dTW++eYbyOVy+Pr6YvLkyXrT6ebmRt5j6PS6uvAW1AZrfAKgNxYB8L8BODw8HH5+frxtcuyEvLa2FjExMejdu7dGvCBWDkilUl7cDy67d+8mXoyffvqpXhnFNTSzg5Y6ly9frtf4a46OjkTRjI2NNVj+LMYsfHANEULebWr/rKysJMZXQ21DF+yWwD/++AOlpaUYNmyYhleikDITOkaYs8DEBs1v3Lgx7+RbY6nPMdQQrGKanJyM/Px8fPLJJ7z2xX6bTY96IHVzZSsrd7Qp/EqlEmFhYQCMj7/GlRO6xv+srCxB2wGFyH9L1ZeQMZ79dlJSktbDOWpra7Fs2TKUlJSgcePG5FAL4H9ewa6urloPibh06ZLW8jdnXGL7vL29vdZYWGx+ZDKZxonrxqCrPchkMuLhYIzB1RR5yPav27dvw8bGRsOrgdu/GjdurHXLua7JJWsUiI+PJyES9CF03DAFhmF4W/LrK/5aXctLYz1OTNGljWlHQtJv6uIRt6+tXLkSxcXFmDx5Mi/+KIsuw4BQfYfFUjplQ8sGQ4uy3D6oa7yMjIwk8eumTZtGwh+YE9YJ+F+91LXMMieP2tDX98wZ49h+6+DgoLNMtmzZQg6FMXSIjCXmdeZ4w/4XqTMDm6GOam9vT1YWL168yFM4AZXC/PHHH0MsFsPHxwc//PADudYQ8dcAoF+/fgBUrr4//vijhpVXLpeTk0cA1T5vFvXjsxMSEnDu3DkAmkZC1sqcmJiI06dP857LysrCkiVLyGqzMUKTK8yXL19O4kJx08bGtjC3btg8c1dXAJUL9qZNm7SWfdeuXYkxbseOHbwyBFTGgNu3b2utI2Mm29wV7LqIv8a287t37+L111/HyJEjMXLkSIwdOxYzZszAhg0beCv4utCVNnP7Cqvc3b9/nwy2LFlZWZg3bx4ePHgAOzs7fPfdd8TlPTIyUuPkxOrqaqxfvx6VlZVwdnY2GFfOGG9BU5Q6XeTl5ZH/s3EWdMGNVbFkyRISBwMA7+QobcGaAfACyoeEhPAmBwqFAjt37iTHfs+ZMwe9evXSmx62vyuVSmzYsIGniEqlUoSGhmLFihUAhMVfc3Z2Njn+mkgkIum+cuUKjh49Su5nKS4u5nltcL+pb+EjKCiId3KWtgl3eno6b0uQOf0zPz+fyCJDbUMXrAGFYRh4enris88+s0iZCR0jDJVzVVUVwsLCNCY1iYmJZKvk+PHjecalOXPmYMWKFQZPGq3PMdQQ3L7cqVMnjB07lned258HDBigsa3MHNkK/O9EL/XxrqioCJ9++ikiIiK0loO2+GsAP1bj9u3bee21pqYGp0+fxvTp0wXFXzNV/luyvoSM8azekpubS7w8WYqLi7Fs2TLcvn0btra2+PHHH3l1zQaxrqysJNv0gf9tG2JjweqLv2bquMSOQbW1tVoXSrhxm1auXMnzVgRU8j86OpqnK/j5+ZFyO3XqFJKSknjPREZGYubMmWSxxBiDqynykNu/pkyZohHCgFvms2bN0jjpUd/kkh1HS0pKsGLFCo20JCYm8k5QFjJuMAyDLVu2YMaMGbh3757Bsnme4q8Blut/lvI44erSxrQjIek3dfGoadOmxEMuOzsbL7zwAj7++GO95axuGBCq77CYq1M+L7LBkIdmly5dSF537tzJ07vZsluyZAlqamrQu3dvnkHInLBOwP/ka3l5uUbd6KoLITLLnDxqQ1/fM2eMY9uyXC7H1q1beWUilUqxZs0a8s5PPvmEzBvqcl5H46/xqbMtosa4Un/yySeYNWsWFAoF5syZgx49esDHxweZmZk8a/W6det4p4RaKv6aqQrUhAkTcObMGaSkpODUqVO4cOECWrduDUdHR5SVlSEjIwPW1tZkwAgMDESjRo1QWVmJ77//HgkJCfD09ERycjJu3rxJOp36dyZOnEg8wVauXInff/8dfn5+yMvLQ0JCAvr27QsrKyswDGOU0OzZsycGDBiAq1evIi0tDRMmTICfnx8aNWqEwsJCFBcXY9iwYbwjnoXWTbdu3XD//n1kZGTgww8/RL9+/SCXyxEWFkbKVd0bo1GjRpg3bx5CQkJQUVGBhQsXwsPDA15eXpBIJCgoKICHhweZbJq6IshNX114VHXr1g1//fUXAL57MfA/b4Pr16/jzz//1Osqry+WltD64Cp3vr6+WLx4MVq3bo3mzZujuLgYcXFxUCqVcHZ2xo8//ki+W1FRgS+++AISiQStW7eGj48PCZYpkUhga2uL7777Tm9AVkt5C+oL/snCxuEAgM8//xwBAQFo3bo1vvvuO4172cGzf//+vAD1gGorg4uLC8rLyzF8+HCtK0PdunXDwIEDceXKFdy8eRNjxoxBcHAwqqur8fDhQ0gkEohEIsybN8+oUwlHjRqFPXv2QCaT4dSpU7hz5w6CgoJQXl6OuLg4NG3aFE2bNkV2drag+GvdunUzKf4at81FR0dDKpXip59+wpYtWxAQEABra2sUFRUhMzMTffv2JfVj7MKHnZ0dPv30U6xYsQISiQQffPABmjZtCl9fXyiVSnJi2fz584nBwZz+6e3tDTs7OygUChw8eBDh4eEQiUTYv3+/0dtBuAcdLF26VOeWDFPLTMgYYUw5//HHHwgNDSXbAh0dHVFYWEiU8J49e/JOqF66dClRuhYuXKjV60e9nOtjDDUE25etra3x5ZdfahgbWUOrjY0Nb+uoep0Jka2A6rTNxMRExMfHY+bMmejUqRMKCgoQHh7OG5uNDYbfpUsXtG/fHomJieR0L9YoGB8fj+rqagQGBiI6Otrk+GumyH9L15epYzwATJ48GX///TdycnKwefNmXLp0CW3btkVxcTGioqJQVVWFxo0b48cffyRxabj1AqiMklOnTkWfPn1QXV2N8PBwtGjRAk5OTqioqLDouMSOQTU1NRgzZgyaNWuGESNGYMqUKQBUBqKxY8fi5MmTiI+Px+jRo9GqVSs0btwYcrkcGRkZkEql2LdvH5lIiUQijBs3DocOHYJUKsW0adPQpUsXuLq6Ii0tjcgT1qhkjD5sijxk+5e3t7fWiSSbTj8/P97WaRZ9k8t33nkHZ8+eRU5ODsLCwnDt2jX4+/uDYRjk5+dDKpXi66+/Jh5KQsaNixcvYteuXQBUE2NDi111HX+toeSlpTxOuPLPmHYkJP2m7k6ytrZGs2bNiOPAV199pbF7Rv3d6oYBwPSxm4u5OuXzIhv0LcoCKm+puXPnYs2aNcjJycH48ePx0ksvwdHREfHx8cQgPmTIEKxYsYKnd5rjdQ+o5GtRUREeP36MkSNHwtXVFcuWLePNW7l1IVRmmZNHfWWqTUcXOsZx58B+fn7YvXs3Tp8+jfbt26O6uhoxMTGQyWSwsrLCxx9/TOYh9TWvs5TjxL+dOvNgM9RRAZVQ2bRpEwICAsjR2OfOnUNsbCx8fX2xaNEi7N+/X2OrHbuKoKsSjUmXLgVKX+wOBwcHbNu2DRMmTECjRo1QVVWF+Ph4REZGIjk5GT4+PkSZAlRu5CtXriTB/3///Xf89ttvkMlkPHdN9Yb22muv4fPPPyeDREpKCq5du4bS0lKsWLEC06ZNIytHxjbSH3/8Ee+//z5ZAczKysKTJ09QXFyM9u3b87xyzKmbadOmkVWrqKgohIaG4tSpU5g2bRpRerQNnG+//TZWr17NC1iamJgIsVgMb29vXkBQc1YE2bajPsAaalO5ubkagkGpVGLbtm1YuXIlhg8fjrVr12LVqlVYtWoVvv32WyxYsIAoh5mZmRorTLrSrG3wF1ofXIG3a9cuBAcHIzU1FdeuXcOjR49gbW2N4cOH4/Dhw7w2kJ2dDS8vLwCqVd3bt2/jwYMHKCsrQ9++fbFv3z4NRUKd5ORkwd6CbH2oK3W66NWrF6ZOnQpbW1tUV1cjOTmZZxTh0qhRIzg4OGDJkiVar3t4eMDOzk4jWDOX7777DhMnToRIJEJhYSEuXryIK1euoLy8HAMGDMCBAweMMq4BgJeXFzZs2EDqLj8/H9euXUNSUhKmTJmCXbt2kROo1CcputqzOfHXWFq3bo3du3ejX79+EIlEKC0tRUxMDKKiopCVlYWgoCAS2wIwPpg6oAq8v379eqJs5ubmIioqCjExMSgvL0e/fv14eRXSP7n1vXz5cqI0pKenw93d3aRYK6wyM3ToUL0BbU0tMyFjhDHlLJFI4OjoCKlUiocPH+LWrVtISkqCl5cX5s2bh9DQUJ6xny2Ltm3b6jWuAfU7hhqCVaYnTJiA9u3ba1xnlek333yTF6uHi1DZCqgmZeyWlLi4OBw+fBgxMTFYtmwZL6Awt57y8vK0xl8DVB4Oa9eu5S103L59G/fu3UOvXr1w5MgRotCbEn/NVPlfF/VlyhgPqPrG9u3bySp/SkoKzp07h4iICIhEIrz99tv466+/NIxrgMp4w8ZAysnJwbFjx3Dp0iWMHj0aS5cuJZ6jphqu9Y1LU6dOJbqPVCpFUlKShgF02bJlWLhwIby8vMAwDFJTUxEZGYnHjx/D1tYWI0eOJMZBlvnz52PMmDEAVN5xUVFRuH79Opo0aYKdO3eSrXDGxlgyRR6y/Wvx4sVa4wSxBmzuwSHaykvb5NLZ2Rm7d+/G0KFDYWdnh5qaGqSmpiItLQ1yuRy9e/fWkPWmjhvs2Obp6UkOi9FHQ8Rfqw95qUtPMEeXNqYdmZp+obuTWNk+evRovPTSS1rvYRhGp2EAMH3sVi8Lc3XK50E26FuUZZk0aRJZZJTL5bh+/TouXLiAZ8+eoWPHjli7di2+//57DXmi6zR0Y/n888+JNxobw1TbmG+uzDInj/rKVNu8TugYx+23P/74I9566y0UFhbi5s2biIiIgEwmQ/fu3bFjxw7eQR91Oa9Tr2NTZd1/ESvG0H6QeuLJkyfIysqCtbU1/P39dU6OnxdqamqQlZUFqVSKxo0bw9PTU+eqiVwux5MnT1BbW4uAgACDExgWmUyGx48fQyqVwtfXF+3atRMkmLgolUpkZWWhrKwMLi4u8PT05G0J0YaQusnKykJubi7c3NzQpk0bow5XYMnPz0dBQQHs7e3h6emp15rekGzcuBH79+/H2LFj8fXXX2u959atW2SifPjwYa1BJgFVvQwaNAjl5eWYOnUqFi5cqPO75vaVlJQUZGVloVGjRggKCtIQ+lxKSkqQnZ0NuVwOR0dHBAQEGGwvDYlCoUBRUREcHR11tpv8/HxYWVmRgUadvLw8WFlZaQRr1kZ5eTkeP36M8vJyNGnSBB06dBBcPrW1tUhISEBBQQEaN26sNY5hQ1FZWYmcnBwoFAp4eHjAw8PD4OTeWIqLi5Gfnw9ra2t4enqiSZMmZss5bSiVShQUFMDa2hoeHh5Gy6Rr165hyZIlcHd3x19//cWLJ2WpMhM6RuijpqYGz549Q2lpKRiGgZeXF/z8/LSW7YULF/D111/j119/JUaCusaUMVQXcrkcBQUF8Pb25m3LUb/u5eVl1LuFyFaJRILIyEhUVlaiadOm6Natm0X6Rnp6OjIyMmBvb4927dpZpE0Apsl/LpaoLxZTx3ixWIwnT55AoVDA19cX7du3N1jGCoUCkZGRyM/Ph7u7O7p166b34AhLIZVKUV5eDldXV71jQU5ODkpKStCoUSN4eXkZrAfWIKlUKtGyZUtiQBSKMfKwtLQU5eXlOr8lkUgglUrNTktVVRWysrIgl8vRpEkTeHp6Gpy8GjtuiMVikxdUnkcs2f8sibHjal2mv6SkBFKpVOc4YCqm6juW1CmBhpcNxlBdXY3Hjx+joKAAjRo1Qtu2bXXm35IUFxeTetG2I8iSMsvcPJoyrxMyxqk/z3orBgYG6o0L92+b1/1beW4MbBTKv4mqqioMHDgQVVVV+O2337Su/gPA1q1bsXPnTvj4+OD06dM6lY+7d+9i7ty5AFTxRf4/WPcplOedsrIyvPXWWygqKkJISAj69+/f0EmyOPHx8fj4448xYcIEndsoKRQKhUKhUCjGQed1/7+psxhsFMp/merqahLc/vDhw/Dz8+PFAXv27Bn+/vtv7N+/HwCwaNEiDeMawzCoqKhAVlYW1qxZA0B1+ioVwhTK88GaNWtQVFSEIUOG/CeNa0qlEj/99BNGjx5NjWsUCoVCoVAoAqHzOgoL9WCjUATy/fff48SJE+RvBwcHODg4QCqVklgdzs7O+OKLL7TGbkhOTsbkyZPJ356enti2bZvOWEEUCqX+uHnzJhYtWgR3d3f8+eefz+1WdXOpqqqyyLYaCoVCoVAolP+v0HkdhYV6sFEoAlm2bBn69u2Lixcv8k5hadOmDXx9fdGrVy8MHz5cZ/yEp0+fwsfHB25ubujVqxemT59usTg7FApFOAzD4MaNG3j55ZcxYcKE/6xxDQA1rlEoFAqFQqGYCZ3XUVioBxuFQqFQKBQKhUKhUCgUCoViBsYf7UihUCgUCoVCoVAoFAqFQqFQNKAGNgqFQqFQKBQKhUKhUCgUCsUMqIGNQqFQKBQKhUKhUCgUCoVCMYPnysC2f/9+jB8/HjNmzGjopFD+w8hkMkyYMAHjx4/H+fPnGzo5/0quXbuG8ePHY8KECSgpKTHpWYVCgUmTJmH8+PE4depUQ2fl/zWHDx/G+PHjMXXqVCiVyoZOjlZCQ0Mxfvx4zJ8/v6GTQqFQKBQKhUKhUCg6ea4MbFeuXEFGRgbc3d0bOimU/zDR0dFIT09HRkYGWrZs2dDJ+VcSHh6OjIwMVFdXm3xCTmxsLFJTU2n5PwdcvXoVGRkZaNy4Maytn6vhgBAWFoaMjAx4eno2dFIoFAqFQqFQKBQKRSf1NqPavn07xo8fjw8//FDrdZlMhsTERABAcHBwQ5cL5T9MZGQkAMDZ2Rlt27Zt6OT8K3nw4AEAYX2VLX8HBwcEBQU1dFYanAULFmD8+PH49ddf6/W7CoUCsbGxAJ5fmVtQUICsrKznOo0UCoVCoVAoFAqFAgCi+vrQ5cuXkZGRgcDAQK3Xo6OjUVNTA4BOpCh1C2sc6tGjx3PrtfM8Y67RgzWwdevWDSJRvYmg5xKJRIJbt24BAJo1a1av346NjYVCoQDw/Mpctq8+z2mkUCgUCoVCoVAoFKCePNgkEglSU1MBAD179tR6D/UqotQH1FPSfMwxevwbvKbqE1buAbplY11/+3n2JGTT2KxZM/j6+jZ0cigUCoVCoVAoFApFJ/XiPsKdkOuaRGrzKkpPT0dmZiasra0RFBRkVKyntLQ0ZGZmwtbWFu3btxcUz62qqgq5ubmoqamBh4eHzu9KpVKkpKSgpKQEVlZW8PX1RZs2bYz2ysnPz0dycjKsra3RoUMHNG7cmFxjGAZJSUkQi8VwcXFB586dYWdnp/d9FRUVSEhIQHl5Oby9vdGhQ4d689CqqalBQkICCgsL4eLigk6dOsHBwUHn/eaWHQDU1taitrbWYLlw0eYpyRrdJBKJ0eVWV2VdXl6OyspK+Pj4mPxsVVUVEhMTUVxcDFdXV3Ts2FFvHQjFGKMHwzBITk5GTk4OnJ2d0bFjRzg6OprtNVVcXIyCggIAgI+PD6/PaCM7Oxvp6elQKpUICAhA8+bNLV4e2jC2TbFyz8PDAwEBAQbfK0S+lZWVISEhAXK5HP7+/uQ75ngSmluuhYWFSElJgVwuR6tWrdCiRQut95mzFVkIpaWlSEpKIn2wffv2sLKyMvp5IbIEML1dW2Kco1AoFAqFQqFQKJalTg1sMTExWLBgAZlQAyAnhNrZ2eHs2bOwtbWFTCZDQkICANVEKiYmBmvXrkV8fDx5ztbWFsuWLcOoUaM0vsMwDI4fP479+/cjOzub/G5lZYXx48fjs88+g42NjcH03rlzB3v37uV5lQCqCc/ixYsxcOBAAEBycjJ+++033L17F7W1tbx7vb29sWrVKg1D4tatW3H48GG4urpiz549CAkJQVhYGBiGAaDyIgkJCUHv3r1x8+ZNrF+/Hs+ePSPPN2vWDDt37oSXl5dGup89e4atW7fiypUrxHgEAC+88AJ++OEHdOrUSW++v/76a4SHhyMgIAB79+7Vek9iYiI+/vhj2NnZYc+ePWjatCkAlaFsz549OHbsGKRSKbnf0dERixcvxtixY3nvEVJ2H330ERITE/Hqq69i1apVuH//Pvbt24eHDx/i0KFDRhkmWLieki1atMDGjRtx9OhRVFZWknuCgoKwefNmODs7W7ysQ0JCcObMGbRq1Qq7d+/mXaupqcHMmTORl5eHmzdvajy7cOFCREdH44svvsCwYcPI79nZ2di9ezcuXrwIuVzOq4Pp06fj/fff1zASnDt3Dr/88gusrKxw8uRJuLm58a5nZWVh6tSpAIDVq1fjlVdeIdf0GT2USiWOHz+OvXv3QiwWk9+dnZ2xdOlSZGRkADDNa0oikeCvv/7C2bNnydZUbl19++23aNWqFfmNYRicPXsWBw4cIJ6zLF26dMGyZcvQpk0bje9MmjQJeXl5GD9+PD755BON69999x3CwsLQunVr7Nq1i/zO7dtHjhzBjh07DLapffv2Yc+ePZDJZACAkpIS9O/fHwDQvXt3rF+/npcfIfItIyMDmzdvxrVr13h9rW/fvli+fLnJnoRCy5Xtv6+88grmzp2L9evX4+rVq7xTS99880189dVXvOd0bUUeOXIkpFIpxo4di4ULF2pN65EjR7Blyxa0bNkSO3bsMGhAjIqKwq5du3D37l0ikwHA19cXS5YsIXXDRUi9cxHSri0xzlEoFAqFQqFQKJS6oU4NbI8ePUJNTQ0xsIlEImKU6NSpE2xtbQGovIrYCWBSUhI2bNiAdu3aYfDgwXj69ClSU1NRXV2NkJAQDBs2jDdZkkqlWLJkCR48eAAHBwcMHToU3t7eiImJQUxMDI4ePQpvb2+89957etO6d+9ehIaGAgACAgLg4eGBwsJC5OTkoKioCB06dCD3pqam4vbt22jdujWaNm0KkUiExMREiMVi5OfnY+nSpTh//jwvnXfu3IFUKoW3tzemTZsGZ2dnDBo0CGlpaUhLS4NcLsfevXuRmJiITZs2oWvXrmjTpg1iYmJQVFSE7OxsHD58WGPif+nSJaxatQpyuRzt2rVDz549UVFRgX/++Qc5OTlYsGABTp06pXWCx+Ll5QWpVIrk5GQwDKNhjKmursa3336LsrIyLFy4kBjXUlJSsHDhQojFYnh7e+ONN96AnZ0dwsPDkZWVhe+++w4BAQHo1q2b4LKrrKxEVFQUamtrERgYiB9++AHHjx8HYLzXDxfWOOTn54f33nsPeXl56NmzJ2praxEZGQm5XI74+HgcPXqUGIMtWdZWVlaQSqUoLS3VuHbw4EGkp6eTfDdq1Ihci4iIIEbQN954g/x+5swZ/PTTT5DL5XBycsLLL78MW1tb3L9/H1KpFFu3bkVZWRk+/fRT3rfu3r0LqVSK1q1baxjX2HJiDaadO3cmv+uLv1ZZWYnPPvsMd+/eBaAyCnfo0AFyuRyRkZFYvnw5vL29ARjvNXX9+nWsXr0aEomE1Lm7uzskEgkKCgpQVlbG856SSCT48ssvST23bdsWAQEByMrKQnx8PB49eoQPP/wQBw4c4MU8y8nJIUYjXYa/27dvQyqVol27drzf2b7t5+dHDKSG2lRMTAyqq6uJ3FOXjSxC5dvly5exYsUKyOVy2NraokePHmjSpAnS0tJw+/ZtzJo1yyRPQqHlyu2/FRUVePvtt+Hm5oYBAwagpKQEDx8+BACcOHECY8aM4eVd11Zkd3d3iMVipKSkaE1rVlYWfvvtNygUCixevFhvO1MqlVi3bh0OHz4MQLWY0rlzZ5SXlyMyMhJisRifffYZ1qxZo2FkE1LvQtu1pcY5CoVCoVAoFAqFUnfUqYHt3XffxahRozB48GAAwJIlSzBhwgSN+7geY/Hx8dizZw+ZaDEMg0WLFiE8PBwVFRUoLCwk29IUCgXmzZuHuLg4tG/fHiEhIeQawzBYvnw5zp8/j7///lvvxCMlJQWbNm2ClZUVfvvtN/Tu3Ztck8vlSE5OJkYlQDXZO3fuHDEWACrvo6+//hphYWEoKSlBZmYmWrZsCUA1yWTjfuXn52PFihUYMGAAANU2x+nTpyMxMREPHz5EXl4eDhw4gPbt25P7hw8fDgA8rwUAuHr1Kr766iswDIPPPvsMEydOJMaxKVOmYMqUKSgtLcXNmzd5Hk/qsOmsqqpCfn6+xvbEHTt2ICUlBZ07d8aUKVMAqCaxs2fPRmlpKUaOHIkvvvgCjo6OAIA5c+Zg2rRpyMjIwJkzZ3gGNlPLjp2cA6pJeE5ODgYMGIA+ffpo9ZbRB9dTMikpCTNmzMD7779PtlE+fvwY06dPBwDiaWXpsmaNZlyvTgDIy8vDzp07yd8FBQXw9/cnbZk1/n7yySfES+X48eP44YcfAADvvPMOZs+eTd5fWlqKefPmISEhAX/88QcmTJjA24bH9jldxhXWuNG6dWvedjVdRo+amhosXLgQDx8+hJOTE5YuXYohQ4aQMiotLcUXX3xh0pa/06dPY9WqVWAYBv369cOcOXNIvwBAthiyhvqysjJ8+OGHSEtLQ7NmzbBy5Upe2ztz5gwxFG/btg2rVq0ymC+WzMxM5Ofna1zn9m1T2tS6detw+fJlfPHFFwCg1RNTqHy7desWli1bhtraWrz66qtYtmwZPD09yfWwsDDiLWaMJ6E55crtvw8fPsQXX3yBoUOHknaxf/9+bNy4EYAqJADXwKZrK3LLli0RHx+v4fXFlsvKlSshl8sxbdo0gx6ly5cvx4ULF+Dg4IAlS5Zg9OjRZEtncnIyPvjgA0ilUoSEhOC1114j6RZa70LataXGOQqFQqFQKBQKhVK31HmALmOCeHMn87t37+ZNiqysrHiTD1dXV/L/0NBQxMXFwdvbGxs3buRNwqysrPDaa68BAG+rmjbOnz8PhmHQpUsXnnENUE1AuR48gMrji2sgAlQeKNxnWWMTwJ9khoSEEOMaANjY2MDPzw+Aahvdjh07ePn19vYm7+LG2RGLxfj222/BMAzmzp2LSZMm8TzPuHGNcnNz9eafNWYBKkMCl8TEROzbtw92dnZYsWIFrK2toVQqsXTpUpSWlqJPnz745ptvePl1cnJCr169tH7b1LLjth9vb28cPXoUa9aswbhx49ClSxeYAtdT8quvvsLcuXN5McratWtHypBrVLJkWbMGsOrqat7va9euhVwuJ8azwsJCci0sLAyJiYno1q0badOxsbH45ZdfAABz587FokWLeB5vbm5uWLRoEQDVJPzOnTvkWk5ODukTugxdrGeR+nW2Pvz8/Hj9befOnXj48CFEIhF+++03nhGFTc/MmTPJ34YC+sfGxuL7778HwzB455138Ouvv/L6BQC0adOGJyuWL1+OtLQ0+Pr6YteuXTwjEKDaWsh+lz25Uz1f6gZF9evqZcLt26a0Ke473d3dtXpiCpFvxcXFWLFiBWpra9G/f3+EhITwjGsAMHjwYFJuxngSWqJcHR0dsW3bNgwbNozXLrjGPfXyYccF9bbCyqucnBzeNm1AtTU0KioKAQEBmD17tt58HTx4EBcuXIBIJMLGjRsxduxYXry0wMBAvPPOO6SMudtihda7kHZtqXGOQqFQKBQKhUKh1C31ZmDTNYmsrKwkXkWjR4/mGdBYWE+FgIAAYkTIysrCn3/+CQCYPXu21iDPVVVVAMAzPGiD9QxLTU0lcYmMoaSkBFlZWSTuFRszzc3NjTcJYsvA1dVVp3cMoJpIqk+GCwoKSJwm7mR0+/btqKiogJ+fH959912t6TM2/7oMbOzW0NraWnz00Uek/s6fP4+EhATY2NhgyZIlWuP+GPq2qWXXrVs3hIaGEmOkENgJu7OzM0aPHq1xPTc3l8RfqquyZq9zDQMRERG4cuUKBgwYgNatWwP4n4GtpqYGmzdvBgASb4phGPzyyy+oqalBcHCwxvYzFq5huKioSKMcANO8tbjPcn8vKCjA/v37AQDvv/++TsNndHQ0AJWxhbvlWh1u/rp27YoFCxbAEDdu3EB4eDgA4Ntvv9XoRyys4aK0tJRXB0I9+rgx/UxpU4a+KVS+7dq1CxKJBG5ubli+fLnWAPsKhYLIXEOGTkuV64svvqixtZbNJwu3TeTn5+vciszKIaVSiZycHN67QkNDYWVlhRUrVsDe3l5nvgoLC7F161YAwMyZM9GjRw+t9+nqQ0LqXUi7tuQ4R6FQKBQKhUKhUOqWOj9F1NDEletVpO8e9eunTp0iE7ktW7aQyRIX1jDFDRStjU6dOiEsLAxSqRQzZ85EUFAQhg8fjhEjRsDFxYV3b1VVFX7//XecOHGCeCuJRCIMGzYMycnJAKAxWWPLoEePHhrxzdjYZ7ryHxUVRf7PXq+oqMCFCxcAqCaK2g5+AEBOpWONNrpwdnaGh4cHioqKeAcr7Ny5EykpKejUqRPx5ACAY8eOkf9/9NFHWt/JxhjjftvUsuNuwxo0aJDJJx2qw60HbYYHblmz6bB0WbPeeewW0erqavzyyy9wcHDA4sWL8d1335FvAcDJkyeRmZnJ8zp6+PAhMZB88MEHOk855P7OnXwL9dbSZfQ4duwYFAoFHB0dee1E13u7du2qty6joqJI/j766COjTmH8/fffAagOCNBnNGLLxN7enhiGLeHRZ0qbAlQxzViPKG3fFCLfZDIZTp48CQCYOHGi1sUKQBUb09j4a+aUK7f/6voOWz5s3EsWfUZg7kLNs2fP0KJFC97W0KlTp2p4Hatz/PhxyOVyODo6ksM8DKGtD5lS70LatSXHOQqFQqFQKBQKhVK31KmBzdAkEvjfRMXFxQVt27bVuK5r8suesujk5KRzsu7s7AxnZ2f07dtXbzonT56MoqIiHDlyBAqFAvHx8YiPj8eWLVvwyy+/4KWXXgKgmsgsWLAADx8+hLOzM0aMGIEmTZogNTUVp0+fJu/TFaNJWxlER0eT0/S0XWfLp2nTpiQO3N27d8kEWZuBhMXX1xfW1tbo2LGjwbpq2bIlioqKiAdbYmIi9u7dC1tbW6xYsYJMmiUSCR49egRA5ZGn69Q61tOCzZOQsuNuwzL2pENdcD0lDbVF7mTf0mWtvkV0//79ePbsGT755BP4+vqS7xYUFEAul2Pnzp0QiUSYN28eecfVq1dJenR53gBAWloa+T/X8Gfp+Gtsevr27avTi0ahUCAuLg6AYa+pK1eukPwZG4CfNYANGjRI771Pnz4FoGrvrFHIEvHXTGlT3N91lYcQ+Xb79m3izcTGvdSXJkOehOaWqzH9V1db5G5FVo8J6efnRw6FYOUVuzXU398fc+bMgSHYNtu7d284OTkZzJe1tbXWmJqm1Lup7Rqw7DhHoVAoFAqFQqFQ6pY6NbAZE3+Nvad79+5aV/S1TX5ramrIxGf69OlmB3a2sbHBggUL8O677+LcuXM4fvw4nj17hoqKCoSEhOCvv/4CoIpF9PDhQwQFBSE0NJTnIfLnn3+SmFjcvBqaZLL5a9y4sVbvJ20TUNbby9bWFqdPn9bpwWQKAQEBePDgATIzM3lbQ+fMmcPbQso9uS8kJARdu3Y16v1Cyo67tTYwMNCs/BnjKVkfZc01sOXm5mL37t0ICAggnl+sYbKwsBCHDh1CYWEhJk2axNsay07u27Vrp9cL5vr16wBUcQRffPFFAJaLv8YaPWQyGTHk6TPWmOI1xeavbdu2Rnn5sKffGkqDXC4nJ5yycau4+TIn/ppQA5K2rfNC5dvjx48BqOpbnzeTsZ6ElipXUxdP9JUboPJ69fPzQ3p6OjIzM03aGgqo+p4xbRb4Xx/q0aMHOR1YaL2b2q4tPc5RKBQKhUKhUCiUuqVOY7CxE3Vj4q8ZMsBxPQFkMhmZ4NjZ2Vksve7u7pg6dSqOHDlCPJEqKysBqLyBWK+Hzz//XGP7Fevhom4oM2Qk0rd9tKioCOnp6RrlU15eDkA10bSEcY0tX0AV84c9NbRjx44aMcekUin5v7Flb27ZaSsbUxE62bd0WXM9vH7++WdUVVXhyy+/JIYOto2npaVh//79cHJywgcffMB7h0QiAcA/DEIdqVRKYjeNGjWKBGDnGou0eb/pi7+mzWiQl5dHjDC6tiRynzXkNQWoAvUDIKcoGqKkpIT8X1+ZHD58GDKZDHZ2dry4WVwjvzYMxV8TYkDSZcQEhMs3dtu1s7OzzrZqiiehpcpV1zZKXZ6D+uKvsbBG/2fPnpGtoVOmTDHq4JOysjJSvvryFRsbS9LIPf1aaL2b2q7rapyjUCgUCoVCoVAodUOdGtjYAwO0TUIA4V5Fjo6OZMJhyqEExmJra0u2DbHGgHv37gFQGVq4J7yxsBMxdWOQofhrSUlJOvOvawLKTvJlMhnvZDtzYCesVVVV2LNnj8bWUPVvm1L2QsrOmG1YpiB0sm/psuYa2MLDwzF06FCeoYP1YHvy5AmkUilmzJih4VXF/p2UlESMW1xqa2uxbNkylJSUoHHjxjwDHevl5OrqiiZNmmg8e+nSJa3lYIzRIyMjQ+vvMpmMeAIZ8ppi0wYA8fHxZMujPrjlw7YZdSIjI0n8qmnTphEPvOLiYmIM0bYIIJFIcP/+fa35FtqmKisrSVvSJhuFyje27xQXFxPDsDqXL1822pPQnHI1Z/usoS27wP/k1d27dxEVFYUWLVoYtTUUUBkgWbmmK19FRUVYunQpAFX9crfcCq13U9t1XY9zFAqFQqFQKBQKxbLUqYEtLy8PgMoLiI0zxoXrCaDNu0uXJ4BIJEKvXr0AqOLaHD16VOP9xcXFxEtEFxkZGbxg1Cxnz54lRqGJEycC+J/nllKpJPliYU/VVE+noUlmVFSUyfHXAPBi7axcuZJ4rrAolUpER0cTjwlj4BoXGIbB7NmztW4zCwoKgpubGwDV6Zrayi89PZ23lVRI2RnahiWRSLBs2TLMmTOHHDCgC6Hx1+qirLkeM05OTuRkUBbuKYFeXl6YPHmyxjt69+4NQOWxtGfPHt614uJiLFu2DLdv34atrS1+/PFH3jvZwxMqKytRVlZGfq+ursamTZuwZcsWAMbHX/Pz8yPecadOnSIGY265zpw5E0+ePAFg2GsKAPr06QNA5UG1YsUKcmAGS2JiIu8wji5duhDD5c6dOzXa2JUrV7BkyRLU1NSgd+/ePIMj92RIVtZwvzNr1ixyj6Xir+Xn5xPDqHreAOHyrU2bNgBUbXLDhg280zylUilCQ0OxYsUKAMZ5EppTrnUVf42FlVcMw8DKygrLly8n7dAQ9vb2xHvz4sWLvLYNqLbGfvzxxxCLxfDx8cEPP/xgkXo3tV0LaQcMw2DLli2YMWMGGcMoFAqFQqFQKBRK/VCnMdiaN2+OoqIiPH78GCNHjoSrqyuWLVtGtvGY4gmgvp3tk08+QXR0NKRSKX766Sds2bIFAQEBsLa2JsH6+/btqzcI/Jo1axAREQEfHx/iEZGVlUU8dd577z0ywenWrRsA1eT1ww8/xIgRI2Bra4t79+4hNjZW62TS0CSTzb8p8dcAlZFr7NixOHnyJOLj4zF69Gi0atUKjRs3hlwuR0ZGBqRSKfbt28czrujDx8cHjRo1QmVlJTp06KCxNZTFzs4On376KVasWAGJRIIPPvgATZs2ha+vL5RKJXJyclBQUID58+eTCb+QsjO0tTY0NJR4W8XExOgN6i7UU7IuypobUH3OnDnw9PTkXedOyOfMmaPVaDB58mT8/fffyMnJwebNm3Hp0iW0bdsWxcXFiIqKQlVVFRo3bowff/yRxF5jadasGQBVfKepU6eiT58+qK6uRnh4OFq0aAEnJydUVFQYbfQQiUQYN24cDh06BKlUimnTpqFLly5wdXVFWloa6YeswdUYb8R33nkHZ8+eRU5ODsLCwnDt2jX4+/uDYRjk5+dDKpXi66+/RosWLQCoYo7NnTsXa9asQU5ODsaPH4+XXnoJjo6OiI+PJ0aLIUOGaHhl+vj4wMbGBrW1tTh48CAyMzPRtGlTpKSkICYmBt27dyfbtC0Vf83b2xt2dnZQKBQ4ePAgwsPDIRKJsH//fuKxJES+jRo1Cnv27IFMJsOpU6dw584dBAUFoby8HHFxccRQn52dbZQnoTnlKnTxRF+5ceHGhZw8eTKRMcbyySefYNasWVAoFJgzZw569OgBHx8fZGZm8jyv161bx+uj5tS7qe1aSDu4ePEidu3aBUBllGPHLwqFQqFQKBQKhVL31KkH2+eff068oNgtZu3btwdgnFcRuzIfEBCgYYho3bo1du/ejX79+kEkEqG0tBQxMTGIiopCVlYWgoKCMGzYMJ1pq6yshLW1NaytrZGXl4eIiAhEREQgKysLgYGB+OWXX/Dxxx+T+3v27In33nsP1tbWyM7Oxvbt27Fr1y506NABY8eOBaBpKGPTr2uSqWtbKaDyNGK33Gnz+lm2bBkWLlwILy8vMAyD1NRUREZG4vHjx7C1tcXIkSOJMcUYUlJSoFAoIBKJ8O233+o8HRQARowYgfXr15Ptbbm5uYiKikJMTAzKy8vRr18/XprNKTtd8ddYQ4RIJNJrRAUMT/Zzc3P1Bv63ZFmzHmxt27bFW2+9pXGdNdK1adMGI0eO1PoOJycnbN++nXiypaSk4Ny5c4iIiIBIJMLbb7+Nv/76S8O4Bqgm+eyBCTk5OTh27BguXbqE0aNHY+nSpaioqNBaDvqMHvPnz8eYMWMAqLanRkVF4fr162jSpAl27txJtgUb4zUFqLbw7d69G0OHDoWdnR1qamqQmpqKtLQ0yOVy9O7dW6MeJ02ahKVLl8LV1RVyuRzXr1/HhQsX8OzZM3Ts2BFr167F999/rxHLytXVFbNnzyZ/X79+HYcPH0Z5eTl27NhB6kPdo89Q39bXpho1aoTly5eT96Wnp8Pd3Z2XNiHyzcvLCxs2bICvry8Alcy9du0akpKSMGXKFOzatYt4exrjSWhOuXL7r7bFE12xAPPy8gxuRQZAxo7mzZvz5LSxBAUFYdOmTQgICADDMIiMjMS5c+cQGxsLX19fLFq0CPv37ydlaYl6F9KuTW0HrKz09PTEpEmTTC4XCoVCoVAoFAqFIhwrRlsQJwtTXFwMhUIBDw8PowM8m0JlZSVycnLINzw8PAx6Z3CfZU8MFYlEaNasmYYxj4tEIkFKSgrs7e0RGBho9LakuiQnJwclJSVo1KgRvLy8yGl3xlJbW4sZM2YgISEBH3/8sUmn1RUXFyM/Px/W1tbw9PREkyZNdAZYt2TZZWVlYdKkSXj77bfxySef1E9Bw/yyBlQHCbi5uWk9FIBhGGRlZcHV1ZVsxdWHWCzGkydPoFAo4Ovri/bt2xts+wqFApGRkcjPz4e7uzu6desGFxcXs8umqKgIiYmJUCqVaNmyJe/kU6FUVVUhKysLcrkcTZo0gaenp96A79XV1Xj8+DEKCgrQqFEjtG3bFl5eXkbVCRv8v2XLlmQhoC5RKpUoKCiAtbU1PDw8dJ4saap8q62tRUJCAgoKCtC4cWN06NDBbDkltFzrArFYjEmTJqGyshI7duww2XtNnSdPniArKwvW1tbw9/fnecfVFaa2a8D4diAWizUMthQKhUKhUCgUCqXuqRcDG+X5Zs+ePdi0aRPat2+PvXv3Gm2cbCgkEgk++ugjuLq6YtOmTXVitKVQKM8n8+bNQ0REBN5++20sWbKkoZNDoVAoFAqFQqFQKADqeIso5fknLS0N27dvJ1tDn3fjGgDs3bsXrq6uWLduHTWuUSj/jzh58iQiIiLg5+eHefPmNXRyKBQKhUKhUCgUCoVAPdj+H1NbW4v33nsPjx8/xkcffYRZs2Y1dJKMQqlUora2lhrXKJT/R+Tn52PixImQSqXYvn27wdiLFAqFQqFQKBQKhVKfPP/uSpQ6IyoqCk2aNMGIESMwY8aMhk6O0bCHU1AolP8/XLlyBd26dUO3bt2ocY1CoVAoFAqFQqE8d1APNgqFQqFQKBQKhUKhUCgUCsUMqBsQhUKhUCgUCoVCoVAoFAqFYgbUwEahUCgUCoVCoVAoFAqFQqGYATWwUSgUCoVCoVAoFAqFQqFQKGZADWwUCoVCoVAoFAqFQqFQKBSKGVADG4VCoVAoFAqFQqFQKBQKhWIG1MBGoVAoFAqFQqFQKBQKhUKhmAE1sFEoFAqFQqFQKBQKhUKhUChmQA1sFAqFQqFQKBQKhUKhUCgUihlQAxuFQqFQKBQKhUKhUCgUCoViBtTARqFQKBQKhUKhUCgUCoVCoZgBNbBRKBQKhUKhUCgUCoVCoVAoZkANbBQKhUKhUCgUCoVCoVAoFIoZiBo6AepUVlYiPz8f1tbWaNGiRUMn5/8lSqUSz549AwC88MILsLOzq/c0FBQUoKKiAi4uLvDw8KjTb9E2R6H8/0KofCkpKUFpaSkcHR3h4+PT0NmoM3JycqBQKODu7g5XV9eGTs5zBcMwyMjIAAA0bdoU9vb2DZ0kCoVCoVAoFMpzQr0Z2PLy8pCSkoL8/HxUVlbC2toazs7OaN68Odq1awdHR0cAQHZ2No4fPw5bW1t8+umnDV0+Fi+DxMREFBUVoba2Fvb29vDy8kLr1q3h7e3d0MkjVFdX48iRIwCA6dOnw9fXV/C7Hj58CLlczvvN2toajRo1QvPmzdGkSROtz92+fRuJiYno0qULhg0bVqf5/S+3OQAoLy9HfHw8xGIxqqqqYGtrC3d3d/j7+8Pf3x9WVlYNncR/BTk5OUhPT4enpyfatm2r997MzExkZmbC398fzZo1412rqKjA/fv30apVq+fGoGtKmlJTU5GXlwdnZ2d06dJF531Pnz5Fbm4uHB0d0b1794bOIg+h8iUmJgZ3796Fv78/3n77bb33srLPw8MD7dq103lffn4+UlJSNO5TKBR48OCBwTR16tSJGMG4z3To0EGnfDXExYsXkZ+fjwEDBqBXr15GPWNOu46Pj0dxcTF69+4Nkei5W/fjUVtbS8bHd955B35+fg2dJAqFQqFQKBTKc0Kda7ISiQQXL15Eenq61uvx8fFIT0/H2LFjG7osNHj06BEUCgUCAgLg6elp1ruuXLmC+/fva/yekJCAGzduYOzYsXonYf9W7t+/D4lEovN6u3btMGLECNja2jZ0Uv+TJCQk4Ny5c6ipqdG4FhERgR49euD1119v6GT+K0hKSsK9e/fQqFEjBAYG6jVMXrt2DTk5OZDL5RoGtnv37uHevXtISEjAnDlzGjpbJqfpyZMnePToEXx8fPQa2FJSUvDw4UO4u7s/dwa2+oCVfdbW1pg5c6bOMSQvLw83b95E27ZteWNAVVUVbt68afA7fn5+xMDGfcbb21uwgU0IQtu1QqHA6dOnAQBubm7o3LlzvaW5ISksLER6ejrs7Oz09iMKhUKhUCgUyr+HOjWw5eTk4M8//0RVVRWsrKwQFBSEwMBAuLm5obq6GmVlZXjy5Anat2/f0OWglZs3b0IqlWL48OFmGdhiYmJw//59WFlZITg4GK1bt4a9vT2kUimys7ORmJj43Hiy1BUdO3ZEjx49AKgmVNnZ2bh79y6SkpJga2uLESNGNHQS/3MUFRXh9OnTYBgGbdq0QZcuXeDs7IyqqiqIxWIkJiYiICCgoZP5r6GsrAyAaktxeno6WrZsqfU+iUSCnJwc3jNcWrVqhcTExOdK7j2PafqvoFQqceHCBUydOlXwO3r27KnTy7mut9Abi9A2ZGdnh8DAQBQWFmoYo//LZGdn4/Lly3B1daUGNgqFQqFQKJT/CHVmYKuoqMDx48dRVVUFFxcXTJgwQesEoWPHjg1dBnVOdHQ0AKB379549dVXedcCAwPx2muv/ee36Tk7O+OFF14gfwcEBMDNzQ1nz57F48ePMWjQIDg4ODR0Mv9TPHr0CAzDoFmzZhg/fjzvWkBAAHr37g2GYRo6mf8auMay+Ph4nQa2x48fa32Gxd/f/7nxXHue0/RfIjs7G1FRUYI9+fz9/dGmTZuGzobBNAptQ+PGjWvo5FMoFAqFQqFQKGZTZwa28PBwVFRUwMbGRqdxzViqqqogkUhgY2MDDw8PncYopVKJkpISEmeqSZMmz0U8F3aLpK5YLfqMa2VlZaioqIC1tTXc3NzMNkIJfV9tbS1KSkpQW1sLd3d3i2zpZA0UDMNAIpEYHetNSD3X1taiuroadnZ2sLa23OG5DMOgqKgINTU1aNy48XNlJDTU7gAYNOyWlJRALpfDxcUFzs7ODZ0lyOVyKJVKODo66k17dXU1SkpKAADu7u4WkQNcY9mTJ08wZMgQre81ZGAz5jtC+qhUKoVUKoWLiwucnJw0rpWXlz839ciltLQUlZWVcHZ2houLi1nvYuu9pqYGjo6OaNy4seDFC3bcEYlEcHd3F/yezp07IzY2FtevX0dgYOBzV/7GIpFIIJPJ4ObmhkaNGjVIGkwZhxQKBYqLi0nMSbb+qqurUV1dbXQe2LHGzc2NxIrVhyXbIADIZDKUlpaCYRiL9BEKhUKhUCgUSt1RJ9anqqoqPHr0CADQrVs3wca12tpaXLt2DVFRUaitrQUANGrUCEOHDkVgYCC5r6amBv/88w8SExOhUCjI79bW1ujYsSMGDRrEO+krPT0dFy9ehK2tLd577z0UFRXh5s2bSE9Px8cff4yUlBTcvHkTFRUVAFTxlG7fvg0AePPNN03Oj4ODA+RyOZKTk9GqVSujnrl79y4ePnyoMUFv0aIF3njjDd62IEP5sbOzM+l96sTExODGjRuorKwEANjY2KB37954+eWXBdUrt964ZWTM/abUM8MwiIqKwoMHD4ixxcrKCh4eHujZsye6du1q8Jvx8fG4efMmPD09MXbsWNjY2ABQGfkiIiJw//593iEObdq0wRtvvEEmQcnJybhy5QocHBwwbdo0rROtS5cu4enTp+jXrx86depkVplyYcv06dOnePnll402MjEMgwcPHuDevXuQSqXkdx8fH7zyyito3bo17/6ysjL88ccfAIBp06ZpTEJv3ryJ+Ph4tGrVihfv7dixYygsLESfPn3QuXNnPHz4EFFRUWjTpg369+9P7pNKpYiIiEBiYiLpk1ZWViQ93D5VWVmJa9euIT4+nsgMkUiE7t2747XXXiP1ZypKpZKUhYuLC8rLy5GSkqKxHS43NxclJSVwcnJCRUUFKioqUFtby/tudHQ07t69Cy8vL57njtA+P2XKFJw9exYpKSnkeseOHTF8+HDIZDKcPXsWT58+Jddat26N0aNH804H1pWmuiQpKQnXr18nfRNQxQ17/fXXeUZhhUKBPXv2AFB5Orm4uODWrVtISkrCkCFD0Lp1axQXF+PKlStIS0vjeWU6ODigV69e6NOnj9HpkslkuHLlCuLj46FUKgGoPHBfe+01Qfns3r07CgsLkZubi7CwsOcy3qg+srKycPHiRRQWFpLf2rZtixEjRhjVhozp5zt37kRtbS2GDRtGwiWo13tOTo5R45BCoUB4eDgiIyN59ffKK68gKysLcXFxCAwMxJtvvqk330lJSbh27Rovhmjbtm0xcOBArfeb0gYPHDhA2n15eTm2bdsGAGjevDmGDx8OQHWYSHh4OMRiMe87TZo0wYABA3g6EIVCoVAoFArl+aBODGzp6elEsRVqMGAYBseOHUN2djYJKP706VNUVlbi9OnTmD17NvHSEIlESE9Ph7OzMzw9PWFvb4+ioiLk5OQgNjYWUqkUEydOJO+urq6GRCKBra0tnj59ihMnTqC6upr3bTb9gGpyzf7NVZxlMhkKCwvRvHlzvXnp2LEjbt26hejoaCgUCgwYMMCgF0NBQQFqa2vRunVrODk5QSqVIj09Hc+ePcMff/yBDz74gBiTDOXH1PdxuX37NlJSUtCyZUs4OTkhKysLJSUluHXrFnx9fc3atpSYmAhAFUOocePGBu83tZ5v3ryJO3fuwMbGBv7+/rC1tUVZWRkKCwtRVVVl8Hu5ubk4d+4cbG1tMWjQIGIkYRgGJ06cQEpKCuzt7dGzZ0/Y2dkhJSWFnJQ7c+ZMODg4ICAgADKZDBKJBKmpqRrlVVlZiZiYGFhZWWkYrtR59OgRnjx5AoZh0K5dO4Nxe4KCgvDo0SPk5+fj999/xxtvvIGmTZvqfUapVOL48eNITU0FoNpK6urqCrFYjLy8PBw9ehSvvfYaevfuTZ6pra0lk1Buv+HmUSKR8Ix1gMowJ5FIUFFRgaNHjyItLQ0AeAaz7OxsHD16FHK5nBjVbG1tUVpaCrFYTIxo7Hf279+P0tJSuLu7o127dqipqUF8fDzu37+PkpIS3lZZpVKJ7Oxs+Pj48AwF2igvLwcAODk5oVOnTrhz5w7i4+M1DGys91qvXr1w9epVkk9usHm5XA6JRKLR34T0eRsbGxw5cgQ1NTXo3LkziouLkZ2djcePH8PDwwNxcXGora1F586dUVZWhoyMDKSmpuLOnTs8g5GuNNUVd+/exbVr12BlZYWOHTvC3d0dOTk5SE1NxeHDhzF58mQSj4v1cAVU3kTHjx8nf7Py2MbGBqmpqXjhhReIx1B2djYkEglu3LgBKysrXpvVhVwuJ8YPKysrtGrVCs7OzigpKcHZs2fJYQKmYGVlhaFDh2Lv3r1ISkpCamqqwb7+vPDs2TNcv34d3t7evPb15MkTuLm58YxNutqQMf1cIpGgtraWt3DCrfebN28aPQ6dP38eiYmJ8Pf3R5cuXVBZWYlbt27h/PnzsLKygpeXl8FFssjISISFhQFQHbzQokUL1NTUICMjA4cOHdL6jCltUKlU8nQJbfpFRUUFCgsL4e/vD1dXVygUCmRkZKCkpAQnTpzAlClT6AmmFAqFQqFQKM8ZdWJgy8/PB6DyLPLx8RH0jpqaGtTU1OCjjz4iHjFSqRQ7duyAQqHA48eP0atXL3L/tGnTNLZFPXr0COfPn8fTp09RUFAALy8v3vXa2lqcOnUKTZo0IZ52tra26NixIzp27IhNmzZBKpVi4MCBWk8227dvH0pLS9G7d2+93g19+vRBRkYGsrKyEB8fj8TERAQFBaF37946PcfYmGRcj6eCggLs378fFRUViIuLQ3BwsFH5Efo+QGVkmjFjBpmQKJVK/P7778jJyUF0dLTRBraioiIkJCQA+N8hB3FxcXB0dMSoUaOMbhem1HNUVBQA4K233oK/vz+5v6qqymDssfLychw7dgwMw2DcuHE8A2BkZCRSUlLg6OiIGTNmkEn3yy+/jBMnTiA5ORm3bt3CoEGDYGtri06dOiEyMhIxMTEa5RUdHQ2lUolOnTrp3X5048YN3Llzh/ydlpaGsrIyvV6E/v7+6NWrF+7duwexWIz9+/ejRYsW6N27t874YTdv3kRqairs7e3x1ltv8YKOR0VF4dKlS7h+/Tp8fHx0vsNUHjx4ALlcjm7duqFNmzakrVVWVhLjWosWLTBixAiegSM/Px/u7u7k7wsXLqC0tBTNmzfHxIkTicde3759sXfvXqSkpCA5OZl4fpw/fx5xcXF44YUX8O677+pNI+tV5uLigo4dO+LOnTtITU2FXC4nnoIMwyAhIQF2dnbo1q0brl27BoZhNAxsuhDa5/38/DBo0CDy27lz5xAbG4sbN24gMDAQY8aMIcbhq1ev4t69e4iJiRHskcVSWVmJBw8e6LzOjgPq5OXl4dq1awCA8ePH84xN9+/fx5UrV3Dp0iXMnDlT49mLFy8CUPW15s2bk/HFzc0N8+bN48kGhmFw7tw5xMXF4d69e0YZ2C5fvoySkhI0atQIkyZN4hliMjIycOrUKUFl5e3tjRdffBH37t3DpUuXMGvWrH/FyclPnz7FiBEjEBQURH5jT8SOjo7W6c2lDV393BiMHYfYQ4Pc3Nzw1ltvkXbv6emJI0eOwMvLS2u74sJ6ogFAjx49MGjQIBJWoLq6GhcvXuRtA2cxpQ1Onz4dMTExuHDhAlxcXLTGruvQoQPat2/PM/4rFArs378fRUVFuH//PjWwUSgUCoVCoTxn1ImBjd3GZShOkj6sra0xbtw43tZBZ2dnNG/eHKmpqbxtRQA0jC6AKvbNpUuXUFtbi6KiIg0Dm1KpJFsLTY3LpVQqydZAmUym914bGxtMnjwZ4eHhePDgAaqrqxEXF4e4uDh07twZgwcP1vCg0WZs8fLygp+fH9LT01FUVKQ1TbryI+R9ADB06FDeRMja2hrt2rVDTk6ORh3og/Xu4mJtbY2BAweaNNEytp4ZhiH1ox6zxpCXTnV1NY4dO4aKigoMGzZMw0Px3r17AIB+/frxDD5WVlbo06cPkpOTkZSURIwe3bp1Q2RkJFJTUyGVSon3IsMw5AAMfcHPGYbB/fv3NX5/8OCBwW26AwYMgI+PD65du4by8nI8e/YMz549Q7NmzTBixAie4Ucmk5HvDB48WONEv+7duyM3NxexsbEIDw+3mIGNYRjMmDFDo3/evXsXcrkcjo6OePPNNzW2EXPbTUlJCZKTkwEAr7/+Om87rIODA7p3745r164hKSmJGNjYfmuo/wKqOGEA4OrqCg8PD/j4+CAvLw9JSUlkqzHrYdu5c2fY2dkRLzRj47AJ6aMikUjDyNG2bVvExsYCUPVf7vbUwMBA3Lt3DzKZDAqFwqDnnj7Ky8tx+fJlk59j21jbtm01PLmCg4MRHh6O/Px8SCQSDc/WJk2aYMKECVq3lKvLBisrK3Tr1g1xcXGQyWSorKzUG3dLKpUSw8nrr7+uIZdYj6i7d+8KKq+XX34ZSUlJKC0txY0bN3hGUUMcO3ZM6+9BQUEmLVCYSs+ePXnGNfab9+/fR3V1NSoqKrTKZG3o6ufGYOw4lJeXB0C11ZLb7v39/WFtbY38/HzU1NTo3S5///59KJVKeHl5YfDgwTwdxtbWFkOHDtVqYAPMb4NctBlg7f6vvTt9aupswwB+JSxhCQQhAWTYWwUEXBGXKmqx4q4d7W7tTP3mv9N+aadjZzqtMw5jW2WxUB1QsSoisqgEkc1ABEITCSSQAMn7gTmnCQnhhCTq216/bwI5OctzTnzu3M99R0aisLAQt27dWvIzm4iIiIjenJAE2IT/kAbSoTAsLMznJMq17pVgYmIC/f39sNlsSEhIwLvvvovY2FiYzWaPJZPAwuTUtSaUP+RyOb744gvo9XoUFBRI+vuysjKUlpaitbUVDx8+hNVqRWdnJ/R6Pc6ePesx2bXZbHj+/DmmpqYQExODd955RwzOrOR4/N2e6/mWeg2WsmbNGrFjrFCouq2tDTU1NdBqtTh58qTkGmFSrrNMJkNycjLGxsZQWVmJ3bt3Y82aNZKyRmpqajA6OorS0lKPZZhGo1FcLhgdHY2hoSG33wvvPzk5CZvNBoVCAbVajYyMDOh0OnR0dGDnzp0AFoKOk5OTSElJceuwutjs7KxbvTrX67ncZBFYmBDn5+fj6dOnaG5uhsFgwPDwMH788UecOXNGnLj29/djfn5enMR5s2HDBnHM+jO59qW0tNTrpPvZs2cAgK1bty5bo29wcBDAQjDNZrN5XBfhWWQwGMSfHT58GN3d3ZIChUKQTAioFhYWYnR0FE+fPhUDbMKkWzh38fHxfgXYAP/vUZlM5vElhusEfvHYcA3i2Wy2gAJs8fHxPrPCtFotXrx44fHzgYEBAEBCQoLHdQIWni92ux0Gg8EjwPb+++/7HAt6vR56vR4OhwOpqalQqVTi75Z6xrnul9PphEKhQF5e3orPy1IiIiJw4MABVFZW4uHDhygqKpKc4R0XF+f12RXqhgm+nv/AwmeA1GfAUvd5oPvh+jkkjOfFn012ux0OhwMymWzZL9OEeoXFxcUr+oIwkDG4mNPpRG9vL4xGI8LCwpCdnb3sZzYRERERvTkhCbAJ//Gdnp6WFAAIhsbGRjQ3N7sF9eLj431mpwTS2QtYyC7xd8IQFRWFnTt3YuvWrbh79y7u3r0rNiVwzWjQarWoq6tzmyhERET4/Pbb1/GsZHvBJNTEcrVlyxZcuHABvb29uHfvnqSmCf5c52PHjuHSpUt49eoVqqqqEBYWhjVr1qCkpMQjO0tw+/ZtdHd3Izs7263QvkAIrgFAVVWVz30VAmzAQhbb4gBba2srgIVlSL5ERkYiNTXVo9h1enq65HtLLpejqKgIRUVFePLkCerr62G321FTUyMumRIyQdRq9ZJjyXW8v3r1KigBNm8TXqfTKWaNSekuK1yXmZkZ/PLLLz6viSAmJsZn5qCrxQG2devWoaGhAS9evMDk5CSioqLQ09ODuLg4sUi7kDkpNcD2pu9Rf0VHR/s8f+Pj4x4BNofDIWY4Nzc3i9mg3nirk7hUcMRut+PKlStifS+BWq2WfDxCvS9fnaoDlZubi7y8PHR3d+PatWv46quvJL3uwIEDAdW7fBsEs3vzUnJychAeHo7e3l4MDAwgOzsbDodDrIeYn5/vcz9cnzv+jB0gOGPQlcFgwJUrVzwy1Xw1JCIiIiKiNyskkS9hQux0OjE0NITs7OyQHkRHRwfu37+P2NhYVFRUID09HRaLBV1dXbh3715I33ulIiIiUFZWhunpabS1teHZs2digG18fBzV1dVwOBwoLy9Hfn4+HA4HBgYGcPPmTb/fK9jbC5aoqCgUFBSgubkZ3d3dywbY/L3OarUa586dw6NHj9DR0YFXr15Bq9VCq9Xi2LFjHkufgH86m46NjWFyctKjqLnrxPuDDz7w2ZXSNdMmLy8P169fF7PvEhISMDAwAIVCISkD8ujRo/j1119hNBoBLAQsDx48uKLzXlhYCLlcjqtXr2JsbAwTExNQqVRioW1fE1DX4/XW0CBYnE6nGESVMjEXrotKpfLZMXKlGVuuNdiAhS8RsrKyMDAwgK6uLsTGxmJ2dhabN28W98WfANvbeo8Gm+v9s2XLFp9fUCwVBPemvr4efX19SEtLQ3l5ORITE2EymXD//n237pe+SBn/wbB//34MDAxgdHQULS0tkjookzSxsbE4cuQIqqurcenSJcTFxcFms8FutyM5ORkHDhzw+XrXL278HQfBGIOCubk5/PbbbzCZTCguLsb27dsRFRWFkZGRf9XzgIiIiOjfJiQBtqysLERGRsJut6OlpSXkATahmH1ZWZlYXyk6Ohq7d+/G48eP/Vqi9bplZWWhra3NLWuls7MT8/PzKCwsRElJifjz9evXQ6fT4fHjx369R7C3F0zC5HJxh0lvVnKdo6KisGPHDuzYsQNDQ0P4888/MTY2htu3b3sNsO3duxfj4+Po6+vD5cuXcebMGbelWa4Bt7S0NEnZVcBCYEqo39Te3i4GX4qLiyUtW01KSsK5c+cwPj4OmUyGpKSkgAIBrk0fZmZmoFKpxKVHQiaPN671jhbXtgsmuVyOmJgYWK1WmEwmt/31Rrgu09PT4pLNYFqcwQYsBCoHBgbw5MkTMZPPdWmtPwG2t/keDSaZTIa4uDgxeB2Ma2Wz2fD06VMAC1mrwrLS1atXY9++feju7pa0HSFT0DVLNRSUSiX27NmD+vp63L59G9u2bQvp+/3XmEwmhIWFobS0FFNTU4iOjsbq1auRl5e3bGaiXC6HQqGAzWbzaxwEawwKhG6h8fHxOHTokLjfubm5sFgsqK2tfdOnmYiIiIi8CMlX9REREWKHz97eXnR0dIT0IIQlR8GuRyMEMLzVvwoW1+LpoTqeUJ2fYHj58iUAeNRaCsVxpKenY//+/QD+Oe+LyWQyHD9+HImJiRgbG/OYyCQkJIg1dfwNegjL6Xp6esQi9FKXKAIL4zE5ORkajSbgLBvX4xcCQUIgfGpqCr29vV5fJzRlUKlU4jVzDRB6W9a30kw3Iagm5TwLf2u328XabcEkTLZd79O1a9ciPDwcY2Nj6O/vF6/N4vMqJcD2Nt+jwSaMsydPngRUp1MwPT0tbieQ87d69WoAC/fGUh1Qg5W1uWnTJqSlpWF2dnbFTRPIk8Viwa1bt5Ceno6ysjIcPnwY+/btQ35+vuRlv8I4WOo54m0MrGQM+vr/hfA8iI2NDdlyZSIiIiIKvpCthdm2bZtYuP3atWtoamryWpR3ZGTE7+UTiwkT/cX1fiwWi9cJv1TCBHlx7StBf38/GhsbfWZfzc/Po7Ky0qMui7BdYWljfn6+x/HodDq3v3c4HEsGhqScn2BtL1ja29vFzo9FRUWSj0PqdfaWiSV0mfM1CVIoFDh16hQUCgW0Wi3++usvt98Lhd1bW1uh1Wo9Xu9wOLzWhFOpVMjJyYHD4YDNZkN2djYSExNDdn7r6urw6NEjzM/Pe5yv69evAwAyMzPFzJ1Vq1aJdfKuX7/ukcExODgo1o1zzbpRKpViLbjF10an04mZHf4S3mN4eBj19fUeE1Gr1SpOdlUqlbjU9s8//3RrZiAQmkIIjEYjGhoaoNfrfe7HzMwM7HY75HK5W825yMhIMZMSgEdjCOH5MTc3t2yn0rf1Hg2F0tJSsaNjQ0OD14CFEGCQQqlUikuXF48/YUm1FGlpaWJX3WvXrnkUyu/t7RUDzMFw8OBByGQyFqsPIuFZ19/fj8uXL6OqqgpVVVWora3FzZs3xWYovgifRT09PR7BfZvNhurqao/XrGQMCs8Hq9XqEYQXngfj4+OwWq2StkdEREREb17Iug+Eh4fj9OnT+P333/HixQvcuXMHzc3NSEtLE+sV/f333zAajSguLsbhw4dX/F7bt2+HTqdDc3MzZmdnkZGRAYvFgubmZtjt9hVvNy8vD8PDw2L9rujoaOzatQtqtRoOhwOXL1/G/Pw8pqamcPToUa/beP78Ofr6+tDX14eYmBhoNBpERETAbDaLWRIajQZbt24VX7Nx40a0tLRAr9ejsrIS69atg9PpRFtb27LBAG+Cvb2VePbsmTgxmJubg9FoFAMHa9euXbbQP+DfdZ6YmMB3332H1NRUpKSkIDw8HCaTSQx0ui7D8yYxMRHHjx9HZWUlbt++DY1GIwZTNm7ciOHhYTx+/BhXrlzBnTt3sHr1aoSFhcFisUCn06GwsFDMlnO1adMmsUudlGNeKYvFgvb2djidTjQ0NCAlJQVRUVGwWq0YHR0Vu4Uu3seKigoYDAYYjUb88MMPKCgoQFxcHEZHR8VgaH5+vkfmXUFBATo7O3Hjxg2x++Po6Ci6u7uxatUqrwGv5aSkpKC8vBw3btzAo0ePoNVqkZ6ejrCwMJjNZrx8+RIfffSR2AW0oqIC4+PjMBgMuHDhAjIyMpCYmCgWLh8aGsLx48exdu1aAAs1kwYHB9HV1YXz588vuR+u9dcWZ5MUFhaiq6sLADyWHLtmu5nNZrcOnou9Dffo66JWq3HgwAH88ccfePDgAbq6upCRkSEuzdPr9YiMjMTXX38taXvh4eEoKSnB/fv3UVVVhdLSUjEDtaWlRfJ+yWQyVFRU4NKlSxgZGcH333+PnJwcxMTEYGRkBENDQ9BoNCsay95oNBqUlpaGLIOtvr5eLO6/WGlpaUiWUr9p8fHxWLNmDXp6evD8+XOP39+7dw/5+fk4ceLEkttYt24dOjo68OLFC9TU1KC9vR0pKSmw2+3o6enxqMsJrGwMpqeni8vgf/rpJ2RkZGDVqlUoKytDRkYG0tLSoNfrcfHiRZSUlCAqKgq9vb1it2IiIiIievuEtL1ndHQ0Pv30U3R2duLBgwcYHx/3+AY5Li5uxV22BLm5uaioqEBDQwNaW1vR2toKhUKB8vJyNDU1rbgGW0lJCWw2Gx48eCB+Ky1k1cjlcqjVaoyOjiIlJcXnvpWXl6OlpQUTExNuxx8eHo6ioiLs3bvXrfi6UqnEqVOnUFtbKwbnZDIZtmzZApVK5XdGULC3txImk8mtfpdCoUBmZibWr1/vkfnj61xKvc42mw3JyckYGRlxy0CMjY3Fzp07JQW3cnNzsXfvXjQ2NqK6uhpnzpwRlwAeOXIEmZmZYgFr1yxMpVIpLiNdTMhaiIuLC2lXwJiYGJw8eRLNzc0YHh7G0NCQ2+9zcnJQXl7u0ZEuOjoaZ8+eRWNjIzo7O9He3u72u+3bt7sFgwV79+6FwWDAyMiImOUWHR2NEydOoLe3d8VBiZKSEqjVajQ1NWF4eFgM8gELQVDX7CeFQoEvv/wSd+/eRXt7O3Q6nVtGmEajcbvPkpOTMTg46PP+BTwbHCw+jzExMUhOTvbIinT9t9ls9vk+b8M9+jpt2LABiYmJaGpqgk6nE4OUwEJmYHp6ul/b27VrF2ZnZ9Ha2opbt24BWMjIPHToEK5cuSJ5O1lZWfj4449RX18Pk8kknvf4+HicPn0aOp0uaAE2AHjvvfeg1WpDkqXoq4bYchmV/69aWlrQ39+PzZs3IzU1VcxYnZubg16vF5vcFBQUiIH2xWQyGU6fPo0bN26go6MDQ0NDGBoagkwmQ2FhIfbt24dvvvnG43X+jsHw8HB88sknqKurE/ctNzdX3IcTJ06gtrYWg4ODqKurA7CwvLqsrIyNDoiIiIjeUjJnMIrgSDQ1NQWj0QibzYaIiAgkJCRIqr0l1ezsLMbGxiCXy6HRaMRla8FgtVoRFhYGhUIh/szhcMBqtUquuWI2mzE5OYnZ2VlERUVBo9H47ELpdDphMBhgt9uRlJTkMwNGimBv703x5zrPzMzAbDZjfn4eSqUyJIX5rVYrpqamEBYWBqVS6TZGFqutrUVnZyd2796NnTt3vpbzNTMzA5PJBLvdjvDwcKjVap/76HqeR0ZGMDMzg7i4OKSkpCxbD0iv14vZnunp6ZIaOEhls9kwMTEBmUwGpVK57Pg1m82Ynp6GQqFAbGys132ZnJyEUql8a+oc/VvuUX/Y7XaYzWY4HA4olUpxyfJKWCwWGI1GKBQKJCcnB7RfBoMBk5OTiImJkTT26c0aHh7Gzz//jMzMTHz22Wde/0Yo17B9+3bs2bNn2W3abDaMjo7C4XBAo9G4LRFfykrG4NzcHGZmZrzWXDOZTJiamkJ8fPySX9wQERER0dvhtQbYiP7LbDYbvv32WzgcDpw/f17SZI2IiJbX1taGuro6ZGRk4PPPP/f6NxcvXoROp8OePXvEWppERERERMES0iWiRPSPzs5OzM3NIT8/n8E1IqIgysjIgEwmg06nw9WrV7Fu3Tq3Tr6PHz+GTqdDRESE2BCFiIiIiCiYGGAjek0ePXoEILTNDYiI/ouSkpLw4Ycfor6+Hl1dXW51/QRCTTQutSQiIiKiUOASUaLXYG5uDv39/ZDJZCFtbkBE9F/mcDgwPDwMo9EIi8UCYKFBSWJiItLS0lhLj4iIiIhChgE2IiIiIiIiIiKiAMjf9A4QERERERERERH9P2OAjYiIiIiIiIiIKAAMsBEREREREREREQWAATYiIiIiIiIiIqIAMMBGREREREREREQUAAbYiIiIiIiIiIiIAsAAGxERERERERERUQAYYCMiIiIiIiIiIgoAA2xEREREREREREQBYICNiIiIiIiIiIgoAAywERERERERERERBYABNiIiIiIiIiIiogAwwEZERERERERERBQABtiIiIiIiIiIiIgCwAAbERERERERERFRABhgIyIiIiIiIiIiCgADbERERERERERERAFggI2IiIiIiIiIiCgADLAREREREREREREFgAE2IiIiIiIiIiKiAPwPV7O/DKSrtq0AAAAASUVORK5CYII="
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This number is close to the \"three times\" in the article, but again, *risk ratios are correlations not causes*. To know if race is the *cause* of the disparity we have to rule out other factors that could legitimately account for the difference, such as the previous coaching experience of the candidates (which we threw out above). The Herald worked with a statistician to build a model to do this. One technique that could work is [logistic regression](https://investigate.ai/regression/logistic-regression-quickstart/) which will eventually produce an odds ratio (similar but not identical to a risk ratio, as discussed [here](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5300861/)). This is called **controlling** or **adjusting** for experience, which is a basic technique of [causal inference](https://mixtape.scunning.com/).\n",
    "\n",
    "In this case, controlling for experience barely changes the outcome:\n",
    "![coaches-chart.png](attachment:coaches-chart.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conditional probability and the Base Rate Fallacy\n",
    "\n",
    "This is an introduction to the idea of conditional probability, which has a close connection to risk ratios. Understanding conditional probability will help you avoid a set of common mistakes known as the *base rate fallacy*. Plus, conditional probability is one of the basic building blocks of statistics.\n",
    "\n",
    "This section is all told through pictures, so [please see the slides](https://docs.google.com/presentation/d/1FicSPCksCe9kVqXjeBYmCnZ5KYhg2ymsPapCZlawVo8/edit?usp=sharing)\n",
    "\n",
    "As an example of the sorts of problems we are trying to solve, suppose I tell you:\n",
    "\n",
    "- If a woman has cancer, her mammogram is positive 75% of the time\n",
    "\n",
    "If a woman has a positive mammogram, how likely is she to have cancer? The answer is not 75%. But to see why, and work out how to calculate the correct answer, we need the machinery of conditional probability. If we work through the math, we will see that we need two other quantities as well, the **base rates** of cancer and positive tests:\n",
    "\n",
    "- 10% of all tests come up posiitive\n",
    "- 14 of 1000 women under 50 have breast cancer\n",
    "\n",
    "The [base rate fallacy](https://en.wikipedia.org/wiki/Base_rate_fallacy) is the failure to consider how common something is overall. Most commonly, it is a confusion between `P(cause|effect)`, such as cancer given a positive test, and `P(effect|cause)` such as a positive test given cancer.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exercise 5: COVID hospitalizations and Bayes Theorem\n",
    "\n",
    "According to [hospitalization statistics](https://www.ctvnews.ca/health/coronavirus/making-sense-of-the-numbers-greater-proportion-of-unvaccinated-are-being-hospitalized-1.5770226) in Quebec, Canada:\n",
    "\n",
    "> In Quebec, for example, health officials reported 160 new COVID-19-related hospitalizations on Feb. 5 among those aged five and older. This figure includes patients in hospital wards and intensive care units (ICUs). Of these hospitalizations, 118 were among those who were vaccinated with either two or three doses of the COVID-19 vaccine. \n",
    "\n",
    "Naively, one might calculate the probability of getting hospitalized with COVID like this"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7375"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "118/160"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**a) What conditional probability does this calculate? Your answer should be of the form `p(X|Y)`**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is `p(vaccinated | hospitalized)`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**b) What conditional probability do we want instead, if we want to know the effectiveness of vaccines in preventing hopsitalization?**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We need `p(hospitalized | vaccinated)`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**c) How can we calculate the probability in b) starting from the probability in a)? Use Bayes' Theorem**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`p(hospitalized | vaccinated) = p(vaccinated | hospitalized) * p(hospitalized) / p(vaccinated)`"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}