# Notebook from PennNGG/Quantitative-Neuroscience
Path: Probability Distributions/Python/Poisson.ipynb

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/PennNGG/Quantitative-Neuroscience/blob/master/Probability%20Distributions/Python/Poisson.ipynb)_____no_output_____# Definition_____no_output_____The Poisson distribution is a discrete probability distribution that describes the probability of obtaining a given number of events occurring in a fixed interval (can be time or space, but here we focus on time) if the events occur at a known, constant rate and independently from event-to-event.

A Poisson process (or, equivalently, Poisson point process) is a process that generates events that can be described by a Poisson distribution. For more details, see the examples below and **Ruminations on Randomness in the Exponential discussion**, which describes relationships between a Poisson point process and the exponential distribution (specifically, the number of generated events within a fixed interval follows a Poisson distribution).

Mathematically, the Poisson probability distribution describes the probability of obtaining *k* events (for different values of *k*) as a function of a single parameter, the underlying rate $\lambda$ (lambda):

$P(k\:events\:in\:the\:given\:interval\:|\:\lambda ) = e^{-\lambda}\frac{\lambda^{k}}{k!}$

where *k*! = *k* * (*k*–1) * (*k* – 2) ... * 2 * 1 is the factorial of *k*.

In the case in which the number of events that occur within a particular interval of time, denoted $\Delta t$, it is typical to express the rate  in units of events/time. This formulation implies that the probability distribution should be computed by scaling the rate by the amount of time in the given interval:

$P(k\:|\:\lambda, \Delta t ) = e^{-\lambda \Delta t}\frac{(\lambda \Delta t)^k}{k!}$_____no_output_____# Getting Started with Code
_____no_output_____Matlab code is found in the [NGG Statistics GitHub Repository](https://github.com/PennNGG/Statistics.git) under "Probability Distributions/Poisson.m".

Python code is included below. First run the code cell just below to make sure all of the required Python modules are loaded, then you can run the other cell(s)._____no_output_____

import numpy as np
from scipy.stats import binom
from scipy.stats import poisson
import matplotlib.pyplot as plt
import time
from IPython.display import clear_output
_____no_output_____

# Tutorial_____no_output_____The Poisson distribution is closely related to the binomial distribution. In both cases, they measure the number of "successes" (or binary events) within a given interval. For the binomial distribution, these events occur within discrete "attempts" (that is, within individaul Bernoulli trials) that we assume occur at regularly spaced times throughout the full interval. For the Poisson distribution, these events can occur at any time in the interval. Thus, the Poisson distribution describes the case in which the time between Bernoulli "attempts" or trials -> zero (the "->" reads as "approaches"). This is equivalent to saying that the number of attempts approaces infinity.

This is a CONTINUOUS distribution because it describes the probability of any possible time of an event occurring within the given interval.

Let's examine the relationship between the Poisson pdf and binomial pdf by introducing the concept of a Poisson point process (PPP). A PPP is a process that generates binary events at a constant RATE lambda. The key here is that time is contininuous, so probability cannot be determined with respect to a fixed time but rather a fixed time interval (because any fixed time is infinitesimally small).  Thus, we think of events occuring at some rate (mean number of events per unit time) as opposed to a probability (probability of occurrance of the event at a given time). The number of events that the PPP generates in a given interval is a random variable that is distributed as a Poisson pdf (i.e., a PPP is a way of generating a Poisson PDF)._____no_output_____

# Make an animation comparing binomial and Poisson distributions

# The Poisson process is defined by a rate, lambda, of events/sec
#   (call it plambda to avoid Python lambda)
plambda = 1

# We will consider events generated in a given fixed interval, in seconds.
delta_t = 10

# Define an axis for computing and plotting a histogram of counts
max_successes = 20
bins = np.arange(-0.5, max_successes+0.5, 1)
xaxis = (bins[1:] + bins[:-1])/2

# Number of simulations
num_simulations = 1000

# Loop through different numbers of time bins used to divide up the given
#   interval. Remember this is how we will show the transition from a binomial
#   to a Poisson pdf describing the number of events in the interval: as the
#   number of bins gets larger, the simulation gets closer to considering
#   events occurring at any time and thus the distribution gets closer to Poisson
f = plt.figure()
for n in np.round(np.linspace(1, 100, max_successes)):

   # Check for events in each bin
   #    Scale p so that it is probability of events/bin, not events/sec --
   #    which can be at most =1.
   p = np.minimum(plambda * delta_t/n, 1)

   # Simulate outcomes as the number of events that occurred in the n bins
   #    ("tries"), given p and done N times.
   outcomes = binom.rvs(int(n), p, size=num_simulations)

   # Make a histogram of the outcomes, using the array of counts ("xaxis")
   #    we defined above.
   counts, edges = np.histogram(outcomes, bins)

   # Show a normalized version that is a pdf. Here counts (the x-axis of the
   #    histogram) is a DISCRETE variable, so we just have to add up the values
   plt.bar(xaxis, counts/counts.sum())

   # Plot the theoretical binomial pdf, for the values in xaxis and given n and p.
   binoY = binom.pmf(xaxis, n, p)

   # Show in RED
   plt.plot(xaxis, binoY, 'ro-', linewidth=2, markersize=10)

   # Get the equivalent Poisson pdf using the rate computed for the full
   #    interval: lambda * deltaT
   poissY = poisson.pmf(xaxis, plambda*delta_t)

   # Show in BLUE
   plt.plot(xaxis, poissY, 'bo-', linewidth=2, markersize=10)

   # Labels, etc
   # plt.axis([xaxis([0]), xaxis([-1]), 0, np.maximum(poissY)+0.1])
   plt.title(f'p={p:.1f}, number bins={n}, number simulations={num_simulations}')
   plt.xlabel('Number of successes')
   plt.xticks(np.arange(0, max_successes, 5))
   plt.ylabel('Probability')
   plt.legend(['Theoretical binomial', 'Theoretical Poisson', 'Simulated'], loc='upper left')
   plt.show()

   # Wait
   time.sleep(0.5)

   # Clear for next plot
   clear_output(wait=True)_____no_output_____# An interesting property of a Poisson distributon is that var = mean.
#   Let's try it using simulations!

# Set up simulations using various values of lambda
num_lambdas = 10
lambdas = np.linspace(1,10,num_lambdas)
N = 10000 # number of simulations per condition

# Set up plot
f = plt.figure()
plt.axis([0, np.amax(lambdas)+1, 0, np.amax(lambdas)+1])
plt.plot([0, np.amax(lambdas)+1], [0, np.amax(lambdas)+1], 'k:')

# Show labels
plt.xlabel('Mean of counts')
plt.ylabel('Variance of counts')
plt.title('Variance vs mean count from Poisson distribution, different rates')

# Save plot objects to make legend

# cycle through different values of lambda
for idx, val in enumerate(lambdas):

   # Get the counts
   counts = poisson.rvs(val, size=N)

   # Plot var vs mean, with grayscale to indicate lambda
   plt.plot(np.mean(counts), np.var(counts), 'ko', markersize=15, \
            markerfacecolor=str(idx/num_lambdas), label=str(val))

# Show legend for grayscale values = different rates (lambdas)
# strs = cellstr(num2str(lambdas'));
plt.legend()_____no_output_____# Let's go back to simulating a Poisson process as the limit of a sequence of Bernoulli trials as the interval size->0.
delta_t = 1000          # Assume the whole process takes this long
plambda = 1             # Rate (events per sec)
num_bins_per_second = 100    # Number of bins in which to check for events
total_bins = round(num_bins_per_second*delta_t)

# First convert lambda (overall rate) to probability/bin, using deltaT events/time divided by bins/time = events/bin
p = plambda * delta_t / total_bins

# Now simulate checking one "outcome" per bin, using the given probability/bin
outcomes = binom.rvs(1, p, size=total_bins)

# Check that the nubmer of events is what we expect
print(f'number of events expected={plambda*delta_t}, actual={np.sum(outcomes==1)}')

# Now for the next part -- instead of looking at the counts per interval, which is what the Poisson distribution described, we are now going to look at the same data but are considering the intervals between events. As you will see below, these intervals are distributed as an exponential.
# First look at the histogram of intervals between events
# Get intervals
intervals_between_events = np.diff(np.where(outcomes==1))

# Convert to seconds
intervals_between_events_sec = intervals_between_events/num_bins_per_second

# Make and show the normalized histogram. Here the interval is a continuous variable (the x-axis is binned in the histogram to visualize it, but the actual values can take on any continuous value because they represent the amount of time since the previous event), so to normalize the histogram to make a pdf we can't just sum the values -- we have to sum the values multiplied by the bin width (i.e., take the integral). We use numpy's "trapz" which treats each bin as a trapezoid (because the heights before and after can be slightly different) to compute the integral:
counts, edges = np.histogram(intervals_between_events_sec, bins=50)
plt.bar(edges[:-1], np.divide(counts, np.trapz(counts, edges[:-1])), width=0.15, align='edge')
plt.title('Histogram of intervals between events in a Poisson process')
plt.xlabel('Binned interval duration (sec)')
plt.ylabel('Frequency')

# Compare to an exponential distribution (see below), in red, with the rate parameter lambda equal to 1/lambda
# plt.plot(edges[:-1], expon.pdf(edges[:-1], scale=1/plambda), 'r-', linewidth=2)
plt.show()number of events expected=1000, actual=1009

# Neuroscience Examples_____no_output_____## Example 1: Poisson models of spike generation
Chances are, you have already come across the term Poisson (often as "Poisson point process") in the context of how spikes are generated (useful discussions/notes are [here](http://www.cns.nyu.edu/~david/handouts/poisson.pdf), [here](https://biology.stackexchange.com/questions/56679/why-poisson-process-for-neural-firing), and [here](https://neurophysics.ucsd.edu/courses/physics_171/PoissonLectureNotes.pdf); some of many papers are [here](https://www.sciencedirect.com/science/article/pii/S0006349567865962) and [here](https://www.sciencedirect.com/science/article/pii/S0006349567865974) (from Penn!), [here](https://www.ece.rice.edu/~dhj/pointprocess.pdf), and [here](https://link.springer.com/article/10.1007/s00422-006-0068-6)).

Here we discuss a bit of [this paper](https://www.nature.com/articles/nn.3711), which addresses the question of how should we interpret the variability that is inherent to all measures of neural activity. Specifically, assume you measure the spiking responses of a single neuron in visual cortex in vivo to repeated presentations of an identical sensory stimulus to which the neuron is tuned. It is well known that, across repeated presentations, the variance of the response is at least as large, if not larger, than the mean of the response (papers [here](https://www.sciencedirect.com/science/article/pii/0006899374904387?via%3Dihub) and [here](http://www.cns.nyu.edu/~tony/Publications/tolhurst-movshon-thompson-1981.pdf)).  The fact that the mean and variance are so close (but not exactly [the same](https://www.jneurosci.org/content/26/3/801), at least in part because of [refractory periods](https://www.jneurosci.org/content/18/6/2200)) is a primary reason why people think of neural spiking as "Poisson-like": for a true Poisson process, the mean and variance are equal. Given that neural spiking is so similar, ongoing work uses models based on Poisson processes to make sense of the signal and noise measured in neural spike trains.

This paper assumes that neural firing is governed by a doubly stochastic process, which is just like this and basically means that there are two factors that determine the rate of the Poisson process: 1) a "drive" term that causes the rate to change when the stimulus is shown; and 2) a "gain" term that represents modulatory influences that occur over trials. The rationale is that these terms allow for a "partitioning" of the trial-to-trial variability: some of it is a result of the stochastic (random) point process that generates the spikes (which, if Poisson, would produce spike counts with mean = variance, as above), and the rest results from the fact that the rate itself is varying from trial-to-trial (the gain term).

Figure 1 from that paper shows that the model accounts well for the fact that certain neurons tend to have higher variability that would be expected from a pure Poisson model:

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I96xEJUJmZ0KTheD+zuCRzHhNKY7vi67vi67vi67vi67vi67vi67vi67vi67vi67vi67vi67vi67vi6iD4vH7sia7sia7tiY9+MFRg8cxVB5t8UIiBYsuiCJkphhuKzq++I+4hPpXw9hJ92DagJwiCquxsrjRW4jfyc/9rmS7E65PTYJw6Z02waChZrjJK7Of66d+7R/aDAFZjv4xH7SzrtLOu0s67SzrtLOu0s67SzrtLOu0s67SzrtLOu0s67SzqJJZw/2yPrtkfXbGPhb5VeyBRPpXw85ebPYEIS0j5Wf+1yyUjMQdTGMRKySP8ZOf96t1iKQSEauQ7EUjx24jHTNgsEYx/ZbwMx6OBkx/AIHXgEDrwCB14BA68AgdeAQOvAIHXgEDrwCB14BA68AgdeAQOvAIHUbZ8AW99Na5r6a1zSNnFebXjG7Hwd9pYqCDE+lfDWop3ePqYrsED5af+1y3mkyGR3e1aayNKljnRZyjxKTOqUWuRaXZ5dhR5DdiggGIzino/Nh/cfD32hDBwUT6V8IVMOLejk5MdciE4dsH+vl5/7XPtFgWMRHlyK3NhUhpchKcIT0zoy5cWx0coIkN1WdIb8HkNeDyGvB5DXg8hrweQ14PIa8HkNeDyGvB5DXg8hrweQ14PIa8HkNR6aRU74GJ68DE9N0kkhzH6Y+DvkS0IDCfSvhJbKo8ktaR4ZdZ2nA3UJVhaflp/7XOsJ1oBAq4B2KoyDhnotbfnQS/l/3pCEtp5sP7j3KlYRjvof10LS4nl7SCUN2pCfSvhL3KbGVymVphmCXr8I3H2UFH+D8tP8A2uc4w09noif9A9pD+49w6YhMy5NcSQk+BQG7wh3blO/q8raDUREKtifSvhNpjyiA6lnmZowmWjCIuyeC+98vP/Z55C8jBsz6kCNR7oPbtn1IEaE3MeZneyh/ce4EjoMnDMx/Jjm7TPwsT6V8HPmoHxKrDWRn2PZuLsEkfshHMSGmkMN/LSkddjn9fONKduPW4tz1Ddtnasqzn2cBG9fubaVfEiiWScsnUSUidE5d+r5WMCE+lfB2SYsyThREQYvlUrCE/KSWeC5zzYFo639PIWgwZsJG9ljG/Mdrgt+5OCmTI0U2ww5WxDYcby9pn4WJ9K+CPEu6x1NF8NnyuuoYbLFZd0Ij4uYUL5NxvDqXIS064DmuA5rgOa4DmuA5rgOa4DmuA5rgOa4DmuA5rgOa4DmuA5rgOa4DmuA5rgOa4DmuA5rgOa4DmuA5rgOa4DmuA5rgOa4DmuA5rgOa4DmuA5rgOa4DmkxXFajxcM+72gLWmvxhw9i3UHO6B5s53axnfjK0pV0bTPwsT6V8Dn9NSVKtR5ttLLfkddQw2WLS7oQCBI4KH/ND8+MOHTqdWYLFUnMTxfmvyjKRcCZiBUwlRZPB6SRfnB9bTPwwT6V8DbS3YoVXFd2j/I88iO0VKy7qQCBI4KH/ADWTclqzDYxFNBCeSsTzXb8RREVPo9OJsPVXZ8nKxk/Z67OnWTsLMMT6V8BJkIiMBo67GZ8jzyI7RUpLuxEKEjgof82UPM92dctxgsadFi+aZDZIRWGERWZlIDzZTLSI7Wr47achRPpXwFsnqmyxkBAyF0uuoYaKlZd1IhAscFD/AJvfFupr6aWBzFoi3O7eXe6jiEGE+le/OFEiYNQFZVnpddQw2WKy7oRCBI4KH/OLMxDfDzgteGjxNJDFh6E9RPKvtQCQgYn0r32c7sSF5tR9CMNo6HXUMNlS0u6EAgSOCh/wx2Q0xpExhxXRxEcT4i8xHZQSCWZKH6KheYXLvtFFjwQn0r3hOfiAworLUqYSkzxFeEYEweh55EdoqVl3UiECRwUP5lExhx3nKVhGuM3rjN64zesZ34ucGORt9jp4EcEh2TA6qw7hhUzD0Dxm5eetmVaIUYPCt3FnlrQgfNDWRkvpm+JnNAzbB+D8Bn/TpwmEznaMDyls8TNaTv6vKvsSyIBCfSvdvSG46DkpiYnQFpSyHQ68hhooUl3YiFCRwUP5qt7vGHOstf8AEUX6Xp19L06+l6dDYXd0C6QmyNuRQA+F2XqxbRtEUlY39E7QRI6U2OVNg2KtypRauz6znDFreziRtC2bpxivUL4Pq438zaOXgvVMT6V7ohMSPhNRnbA5JrzOUV5zBF2NEbht6ddQw0VKy7qRChY4KH8KufGac9o9nqs1pX/6T2ckREmTtTx8cpGF1EWHkd1Re8pFDCyJEoHAmDxlPFCZJiuDzuhYSEFjjRcYRHgC4wz4KymVAxcNZ5B2sGHS8Ll7QacHhV0T6V7q1MqfAB3kvDs53YpKeOR066hhssVl3UiECRwUP4XaVb34Tw7ZmVJD6QXLBjvs5H24oS9dC6EYbR7K13Jytk8ZwrAO6LM2foXnqoqppdgB6nHFxbHp1zgtBCzZ0X0Wo2uvik534IWQp4jftRQKvGetjUCTNel+4sYbvwZ1rMg5WQzgaDy9pn4WJ9K9oYIZgsqlPKUDKLkZ6c434PV5QXQ4STsbQ0cyLiOuoYbKlZd0IhAkcFD+Gtee03JvG5vCEpz7O2Cp5uFNn4zOQnqI5poygKx48Y148Y149Y1Ck4mxbTCSSuUGxrh0GuDe5beHF+OG45+WBgQ6k4oVFeWzs82hPOMVon+cGGxrxevKydAAJHhrZ0tAXsko/MMh7nWUggyP/EqdJH7RTKDNwZL8U1Y1RlUw4IkzO3Qu7ZUe5SJLaKo3CQSFDfHOczpUEdEq2SVbp890nW/Y3yS9HAprkHuGjSXXR/LvtcIRQQn0r2lkjqUnVeYUuX0qzhOJjzlsMMMIisvPIjtFSsu6kQgSOCh/D7TgzkE8L2niljQm0EmYs/s7gotkbURrYo1znGUPY7DG12GNrsMbSU4RieKkvXOVVJjlt7rk+OYcYvUlDas9JgxnLJHHoqc/wMfZP2gXOEynrULhl65JrYklAlh69Mm03tVh7MYr018ZYGT9ogJ/RMUTKbvWjgudHNMwSVhNQAZBqTNScKjJA8yFYgCZpOyRopapvork90SPhPMVmnj3xdd9iXVDQNy7V9VaUNkiuXtM/CxPpXtFJwrCgURS2mkMI6bYXUtYIQkRDeeRHaKFJd2IhQkcFD+InD45OM7soDrcB1uBXmvZyftxP5J/ANoDaV19i7V5xkYSiFGPMlWF41lacK6Npn4WJ9K9zYDKRESph1addQw2VKy7sRChY4KH5yDL0iFZrDZKue+Wk/bwv6bF/ALDOhjhfiBrjU6WueM8tpSYVFoGd9PJTMDx4OnxDoakEH5ofW0z8LE+le1nm2oa2DKctRyUeVmZLbgxx0d20l3HER2ixaVdCIQJHBQ+TtVaR4m+Wk/btf0nf4Bbxj5MTNIyRxWksyUQfKU9M2e/hpRTRsPTy0d2q7PkZWMnbPEzplk7tZiCfSvaLznCIycPy5D2X3sZynJRMo/MYZjiIJYvKuZEIEjgofK2qMSOJ8tJ+3eV1CX8AJukhYbum26CxyEaL5XG0utwoTA6LCFxRy5lKDzpbTSGG9Xpqz4ECfSvazYLYx6REzjUaE7KW2wwNZKlZd1IhAkcHE5e1SALzn5aT9uR/R9tfEb+fsox8wIYFXBhkD27EXl3yqNxAon0r2puMqTCbdWzmG4t94qVlXUkDBsAYfM2pi4ndny0n7ct+8Hd4wrmypTUJiNJalsfIXWdIhBvCi/EVCabjjuXf6SGgABPpXtTBVsRDD7yEafNfts4ECjgYnMJPPx4N1uJOZ7CXLbhNMmVOLSrC0/CSftzP6Ip8njBubtLmqbi7OZXGCfILLA7ZGm1HjMgQjQGFy79Rx0AGJ9K9pLltwY6MOWecUKSbbNBA2AMPnbVojni3nmH2pLsWE4kilOEJ+EfxvYJBJcqBXDqhzgo9HLr5l9/zLBs3zwZnyBOniC+SCl0/VUMyTovl32BYmwQn0r2bjiWWyRByyzJUt6xvggTAGJz9qsZHe/OMSFIawt+E6PidjY+F2lzZECsM0ic6z9NnepH2bvRNeBJuvAk3XgSbouEJDbB4Em68CTdeBJuvAk3XgSbrwJN1Ue2Qrlop/lbRKr/AIt3+QXVzJl0VUhQbm7RjcB+qifSvYOPttaSrC8f61YDKi8nK3TjwIEwBh+w2pwJnZ+bJlNxUmD4ccQAdmno+GKCopmKlOEJ8skVFmTfMyIiRyOov97aU1/jbTPntoNSDwq2J9K55KVmHDWtTqhU1cSTarFv1HakG5AIFHAxPY7Uw2ct80qplWCDTzM7Y1FfSD1NmMW+JAiYgQvg5Z8jNK148soryNWEwbeD2lucJxYz64A+c0Tg+WxWDudNU60u3nv8baB89tM/CxPpXMUrCcLsEVK48luUgnFzMhqRlCo/Vby2iTZSYIFHAxPYkJzQyFdr4IsInmFC0cTHN3SDYCVUGtGjDTSGG5RUh4jHjIgln4ShfriL+m0npzu3T40tuAtxbFNZS33Ts6yrNU8tlXxbHWSyYJG6SEqL/PXyrkYgUT6VzLG8pEfQJ5TU/VoMRx7anyFtmAgTAGJ7PasyrxlzLhaYRWKmkG1yaqC8PAyr3i0fEj9ki/CviCwYvWwkmE/0qThaYQ6w1xAyqrzEwOtDY0SNbEDfKeFLjEhiVKZtf98BCd48P53aZ+FifSuYUgdvjrgSW1hRK467CebDx225dmIggTAGJ7Tapwu9uWT2mj4EcISDlsUzZ/CgacNvSbGIDQwUP5W5K6kSvx+uMIyM5C1h7j1/5dS0owlWF41lWE9O0z8LE+lcxZeIhbbiXUHTbYWL/m2soCBMAYntdqapfLOz8DRZPdZwtLqhAseNdqsMBpHDb+Wvq+oNBN9QEcF9WPQnMqr/AMu9FTbLYMZ8NW/VowZwX6Npn4WJ9K5dikqaY0InKhrW5OuJUECjgYnttqfefZ+SRmYgQXLGSckWOvy7M8PnokEgwWIAg/L7R1dUYNR1K/LfTkHVLA2OTGkJlMfLBM4gXaQrBDaLHmx5ebz+/qbQ8TJdoWNagifSuWZgZmsLQptWYz3UBAmAMP2zjiWkbSyEWTX+RYDiAUONakkJvcUV0jFHSJgzGN3zO0x3+0hvhCJP2uGlxygC0YhoZebkI+VMV6AdSIBwgbMIXFGrmDYxDPRfk2fuIT6VySM7EBhZmWtcM/js/fhiylg4dsRH9vOhMkol9Bwq/bfOtaW0FSEAy9GeYlTmWZpozEitQY3xX+tDjzJQhzbe2qdZ3ZENcd5+GtmyxYslqEeSazhhMFXjKbD01tFWrSNoOc6+oGh1zjSnPEgnXiQTrxIJ0y8iQ18le61CiiBPpXJsrast6HxVzHAIJgDD9ztUiO96ee1FWyA7/ek1qTNNx46Izes534kLcSjK5udMvPZcdIT8z+PMdy66Q7RmY7l16UQVmJIlpbVKlpd70dQhvL0hp+c5FzDxJbX7hSsIx25vfh7GdXhx9IfZ6PfgO81AOGY2ieBK/rwJX9eBK/rwLX9eBK/rwLX9UOpC50LwJX9eBK/rwKA14Er+vAlf1aqYGi1yl4ymp/JX2lBYIQT6VyFKwnEw+05piLGmZhwmoSPdbVO7+8PNISpcfDkgXMDM5dQFENRc9G7GMzlrUxAyrMDLyE5x1HZvXcaUTzJ4aXEND1sJfzCdZRhxrLziGEqlD1JjwyXa0IbZUh328mRiOixm57i41hkxliLT2pVhz34bbWlOsK383C0dbypcQrP6JwlaV+TOd2krS5pSkt4xnfj5G/UcZABCfSuQfVlI7UNSkSvd7UzGMMeVa0o0Yukl6UzLknhcAVwkYxux0Ob9zrDTCYERjj4Zw25KYTLlNimM6ku5QqO92xh6LvaEt/5HZkdaQy52qOwvgkUyEQBqloie2WrqJfsjGZm6JPTPqrb2Bte7teFylsRoFyyh0ZYGpjmP15dzKOiQE+jRYAQCR72DdNrhTyQ+xhxVeZOoyftDw5mm2HptktuacAwA+S7A9m52AAnIG0fI34WfaBifSuQ+ymQ0/X5KFiwmY7nu9qX455Dp3urMsh3k5Krzr02mjUj43k4qc6IQ05QLHtDkSI8aWloT/mpjJ6rYGKh2LnqKejtOY7N1s4Y6iVwOrqClScLDMrXDhpRj2xXOeyEQ8ll5grKgqF2zr5tU/Lw6UEazBI1JSdRWpQuWOe48TlbQ46nq2aNR26rUISh1Z6TZ5ANd4DDYgyO6uHdLUrE6w9JaDG+o1oaZZstUViDYYisEdoXyO0YyPfqgn0r4UhHclwrysoKNdKlYQmwvRe1SxuYzNah5XF80hyYnGH0towta2X3sRXUZc4T7kl7DL6XX38uoTDkuyU8NacM8SImMl7iS8zVTIS1e3MP9mYblxZ6ZtbYk4k1hyK4mTmOQbt68PwrKzJwuPFnYGt8KNylJwtLNECMS/JOgxyUaFRQsCQUERDUYPWRwHPSUDwzUcRVhoJwxWRx7IsREDRvkdodXExKyJ9K+G2qtt+KOmw2CIJbsXXyWosPtcnzJThGp0xhlqEtUvSJS1Pvmmu0tojvaekRx8JjKntb8R04W9x0s4jPO4ccmRsrUwoo5nMOPhr25uL2set2WMfH21Teolgjy8PDYs5JGob9SBEqEoMQl9riI6jGs5xjThGO1pE9lzSVYV0SprEJPsYxiFMlfJ7TPwsT6V8NtTjSeJ0WSxoBNncuFFVOJIJqjxmojXm36mPcN7Eht3Lq0R05Vwl5fT1XCTGIy5GFM4cxlluWw+9JcRhvLqIriFutM8VDGorvHT7bON+CgNqQsjUM407AlwVQ7E/EyPtiHcJdiT0jgTKJWiJRkc2idgm3YRchtQY67CfGFG5bdlI9gFVYdLLWH2Fon5GgoiHgy0Lw4j5K91KXDCifSvhtqbAnoshNyKMHOyC8OqgiHb0pwjHncUlhM19XGiqkyHpKnlNPsOTmIjvCZV2rKkycqfdby40hh7tslHWS51HXB7ilud3plORN2Fe3eZw8l5t2PlxiNLwQqjbuHarKQ5XKxIa023hpLznDRcGJMlYQ2uE6080Vjnq6pDgZ7IOIKHO2GYy23hXsNpknqD7UK4VMqsvttf+S2mfhYn0r4bamNi5Fz3HGoK1ZeVFpDNzjR2ERWOQpOFabhYTphcnicR1TjY55x12OhtEmNMQ7mOtS1pcbZixpPbVr/ALi42ZE0aNy21OhO4zDZ4WfcZxv0uE0vWIKMaTGQjpshTEDDbjJWNYACo6wZhyK/KJxYgxqE8R01aXcThxREpnH+ufef86y2KL2sFs3k8QR8W26h7GnHUNJxnfpS0o6dpn4WJ9K+FIOSGYVgbtdlh2SOYl4kUwbJkMsojtew3a3a3a3a3fBX6Mt5AM2uG6hbJaNOCdjlspbkT8SmizNgr+WVVYk41Ob/APHOy6jGfUdpKk4WmhKzCO/FWnrFjhYWxTiOh45m4Gq1jIWxWhBhJfo2l/hgn0r4e4TimD/h616FxLiQj8S7d1vy7w1IlWu8QWEAbUtDUG4OGlNXPEh6VeGkSTl8jqrTVpsYQpCuEB+VCuEcu69d22nzF8ZxU5ttssguNt40aTi3GAKloukeW6VvjbYo/cZx7w9atC4txIDf/wBr3bIl3llb9su0BKf1T70tFTI0fAKjrBnFw3W3WSkewBHGchjTkF5h9ktHjV7hGU/pjm2CxJEYlE5vaKU1l2yrJRkOLz3VtE+KOLSNut3dQQe7fHxMpziB5MStJO+Xn9/U7Z3HnTHNlcJ5EdnEZj4eaCYnF/IeCs2EWhPUR0ut4eaBBma+K8g8EwNKeSXX48w75D4JixD8Y3Y97Ka4rbrSJaD4BUdYU2uG6y8yVj2Cv5ZUDLOxJA1OXUc3/WmJiJNhsL/VcAwHpsBkmvtW0FHBmRnsSI/xM8dGKRhNYGhXci4uSJatDjaxwyKJjTB0Yhny78a341vxrfjW/Gt+Nb8a341vxrfjW/Gt+Nb8a341vxrfjW/Gt+Nb8a341vxrfjW/Gt+Nb8a341vxrfjW/Gt+Nb8a341vxrfjW/Gt+Nb8a341vxrfjW/Gt+Nb8a341vxrfjW/Gt+Nb8a341vxrfjW/Gt+Nb8a341vxrfjW/Gt+Nb8a341vxrfjW/HwE6DxMvsYlNngKmFhDK4brbrROMOqbeJiU4RjmqThaZ0BkfMuT3CZDR8xxxiGiUQNhJ0KLUzrCBu/f8AJ7SnnI9JH7OokqB9MoWvplC1d6e1XAX0yhan7OYkaDSqa1Ya7Zqe0Hl2WiRxAFumMqpc6u4j7Pp9ZTGLFhSoMaDs4iSYX0yha+mULVzpzVfFY2ZQs4lbNobMamUtmwVq21RAOXZKHHEAW6k2qjFK7iHQZ9YTGOzxOY0KPs1husfTKFr6ZQtXOntV8bjZlC3TtnESNCqVIYOV6xVBoUXs1EjhwKqg3ijma93fRJ1VRGPThaow1rZpCW39MoWvplC1c6i3X4f0yhaJ7OokMbVKOwbr9jqLYkvaaNHDV+XT2mKVYK7gXRidSbiWicLVGHM7NYbjX0yha+mULVup7QJn6ZQtFtnkWCLq1GYNV6yVNsSet1IYBVwjUGotLsdaSJqc6otR7ZJHLjCkf+PfuMIc0+Kbfx4NhZcijGIid27T0luOlBth5Us8mFqDYok7SVYVjlG/ULJJSXNTUYakTfVJf9yc8juwtHzKhKauU2Npu8xlJi2/rSEHh69JJw16xMjq0l1C/jNp+MqowX0joUhK8a/3pKcIxlCVaynCsdXHV4aco4ac52ot/wD40T6X0KQleOhKcIwpCV6zjCsdRPVy2nKOGnOdpbeMUuH9p0KRhfR/vSU4RjKEqzlOFY6ierltOU9ROc7T28eC4/2/QpCV9Gcb9JThOMoSrKk4VjqJ6uW0qTlCcq2ntf8A5SN9v0KQlfRnG/SU4TjKEqypOF4yhOU5bSpPUTlW1Fv/APKo/wDHwcualjNtw8titkFMSSjGJsFLixpEFMzJj4zvxyM53YUeK2qIGgHBKVkLA4pZGwrcyQsCnCHfRJucINCGIxk5JQpw0rS2S69KHG86UJsOsibLodLL18z8XnG/m5xv5ucb+bnG/m5xv5ucb/hH3eC09YFvnJSMTx8lGYBAFLxLh2gapD9NU/1StigjGYtnsBCbAZeYi+bON+KhXnK0N8tnDrPAxUPI4X5bLXnDr3xDi8NNiBT9xj04nImRbiVeFCS4KTWBswhMWMoEqXL5BOdgaOH1yYbE1Eu4aBlHpbESkzJ8s3ySRM0uyat0+TxiMJykvcmxyy8dqgyFyKmMgO3XNQnyVK5BqSSjtbO5MiWFSw7cTYYi+EIiAUmzjacVeKiPNeiZpppP/m3mHAoMlW5YMWWMvm1SYztLJzMPWizB1vgbLyc53dHWxv8AZlP6mTDGYc+tTcSYtsG7nak2tlktYhq3OzlJuA1cFw8Rx7EeR5zBqKCiC7dGIzfIbskUHkRaopaWVtkYZMDG4p2N0l7VGFSgp+KdbfvsJt2JKanRvhpzWX4Wzx5KqpS84eIX3ciLdZaI9UBR1RA1F+589tjKmVqtzmnqzs7xw6/qr/lnJtv5ApWEYse6Lbto2eIGxjdjkS/tdnX60rZxnh16sZ7VaeTs49FpX+OQIsZLWqlS0SKpQP7sXzbSfx/GdydoXolomNM1gZHUJN37/Ibr3+Jcpv8Al7ROTelmt1sKqCV96kIZC1smowD9lPzuXbx2/FVn8F83GxKioYiSHxiYbMSyPPsy6kR4zDWesnzmv8u+bQtzETySBDKCkYpkxeqJ/fyO3RdoPTXSRB4j3ylUWoxG2ars7V1BXw82kw5UpIGG2FbCRECI9EhMvaGh44lfn/3p2gQVrngIZESy0lhmGHjwJ3JnCI5GUaDRz0AmFil4A2nxYE3krRhxAgUwEHkKbFmzRQmMFh8kQHjhY5aqxissMCigmJFEhPPQ4bI+L5i4eObizmUvwQQNEStM0GC24YCRTkUXUoo2aZrMUy8FrsUHyto3pO0GKqXU5ZhjNar7REdR27TbXisFT64nsCbfXYJMYmwc7x5EW/ibBssRUaRUiPXRbh/XRS1LVMbx1Uee1Q5LE+XLduhDyFiE8Eededt5xiS7TStZjSZhbpiyHKYVGjn7CSFWCVXhVOEPBwv84Ii4xZrKcKxigBcSMY3YHf8ASPYqT1krj8BdrgcF6oEf0tMDjsA5WYc2U3iePq4DA/8AjVmtUertsupkM+L4vibzEyDQqDFeVIjdEl7s0ddqaai+QgVQNk/EDv8ApHsnWsO4PgVTWYQ6WKm/pNgKq8t4gKFKjsYxux/Gb3HRLKU8n2WuAo68WN8nMPla6XlIKP4LutybVNf2elkWCELHyu3QbUrthu3m34M4GgpGnBnDdl0ONzm2SBJcsEMLy7UTkE5h4sFNy4k8ZPJ2CJYIzxOo18h3qE+HHf8ASOR1sY1106xnCuUqO2vWIreNYQlP8ctsd141ahk5B4nCU3cJAuCDMV+Jh5YJMOPDS08vZ1aGlu1QChTYSzJ7JZrRLdiSq/Eads9VsXcmh0KTNbdFOyawuK7U7NJFwQZqvRuI7NkDyMNapIegVaFkdXfhx3/SOgkTjCIkiznbsUVVro5rwVbtY2fWnOPpvYnFZ2Yml4+lRDUAmQ2e2BtxLrfJW8hvUs0xDTEtESYpEpC/5GbFIMjYmHUxtVkI4DY8xoQowv4gd/0jVltUOsxoQsttKICxMULE81trTVnF7PLK6Ol8g6dbEsBjLpaXbv2Kn90dfVGjVi14naxnfjnKnRkP/wD8EHf9IuO0FgDqtUSUektNIYb5G0eo5IsUG3YsUDzSXeGi6LyrVM/9W/8AYqf3Vl+xrudxKErPU5s2SmFEXHmEI1eJd7h/526SjMzvPczsoZcKXs9bF480clGlS/Jcwb9QM184xYRnlmub5Nz/AN0z/wBW79iqQHeNYIq3YYQTIanRMZwht9t1XMv8zs1fAhsOUrZpM3x/53cGp7107tumu7bpru26a7tumu7bpru26a7tumoMIrNvndt013bdNd23TXdt013bdNd23TXdt01RG5jVj8kuI1OjDFyKBdfLJ9Qun+6Z/wCrV+2KyVdxIZsbSGXDS1piWfOpcA4+eBME2Y/L2jvZekx2cRo4f/5F/wD524PjuzfPPlIr21TzsD48WT5H3kRmKOwu0XLyzW9z9z/3TP8A1b/2Ko4rtNkXnEIA8tRCJj+jGN3NIf8A1Noerunu2yJV1k/zebMaHxRRaKbhmD8EAhC8OI892BqM2fZxYu+wnlIz2RcKLITLjSb2KjSGH25LPRtRNd3AKCF7lrnlfb4qLqypGqZ/6t/7FT+6sv2NcTlRKEjPU5Uh9EVmTaSM5zNjMMoqriMWWXPahIvKUFQFVm9vA/ze6fitEz3SQvme95xE4/BaQYLhp5MgYfKgj0x+eJP2Cxw6sccOwOgfjftHlpXs8vCFpcR5L9XYskW7JVDotSHtM1TZ2vOA/QRz412i4xux5i4doqwNr7geVbcdZiqIViUYiLnMV6qti9f65d4m5Sj/ABmgM5/s4AKNxJBqxOhsRDESUH2bzuqj+b3T8VLZyKDSoim9ndngstk0Rq9NJEpsV+y1V2FGt2zj8doX+ugd/wBIvdd8Qg9nNzjqgf78lybW9WI0HttWE2zuARSxTwoHq3Ge4gGycN2cdyMpwrTw5h/DQaKxlLSUc2wNoXAa9PsU/wDx4bHZQWfTZI9h2FL4oRyLbCMdmNeYy9M2ca9pohGexhaVfzNScLTlpCm1NIUhSErQzFZjadisyM5jtZcQ2lvCG0t9I7/pGrNs4gHMsmrFs/er9uHWNvzTycUWzb7H44JQITY6F5s5wnTxWMxlBJpzCJbTmedcLFADNT7kO7sDFhaHvGYTs3jMJ2dVzCKjyrcCljsnWockdZobmnDtbUlRev6ydGo14rbRrx463qqFEmQP8uJlkjnekuSyLi99t+IPJ3qlJnQ7/pHQ/HblNWDZdjiCdoZGvyBpWIYjdBErEERzG1F2W6P2dFD74euDwLfmffw1iymlxWRPGJTXc4gD3C8nJIRPdzGQvDieYdFSpdt81eDTIdz8rmOs3s/GSQ9V/l0JXeF9JmHptlzILDq2PiHjIida5cmmli8YHfQcudKjwpc2wxk3CXipQMkV6vWeyR8Z34Hf9I8hYLCNxyVELVaQA2qMO6K7UZE50ds5JnZAgBABtedxfDRl/i5tE7tEiojuqi1kOE1XoeZcsg9iDAqNg7W5zJVoEwpeFYVjpznCcJtoZcp15DDQ+yDCr3S66hhuBZhZR8iViCWRxaGXZ/lo1PYb4an8AjDgOxq+Ftj0Gvka/KgUaWHSQv4WFJGPDmoAOJGYJQayUbiG9XxOXxZeFJmDUUI23Ogsux4flO00XYFCQUEGzySi9zJaRiHBbxmeRgNYgwLFJVLlVMfwm7eR3YpjC+1NZ6yOUbmZHh6rX4a6ts/fXkN0nxzxYRa3wQYGaadeiXoczBDtOYda6NoM1nDz84QTlMsoM3yUygNe/KNKTFW7+TlhGZ0nRqAooJEQlDRfmWIVIPezn4/qt5HVSH8V09LxGjtudkWLLDZsexDpLsyqDuzsN46qeUWh94i6/cB40BQ4bscL02WbLGiClsrxAK5Clia7az0SxwEIw2jovDGI064moNjHOy26xc0TGrPdOm5bRMBJA/aeYjuBXcP2z4u43lqs6+oNmSmoXFi0x/4uUx/jlHFTCNdh4ixLWRy49TVPYSfHiHsx2SkXA64QuvCNxZszluj4r7vlSLhpdzjCsR4EaIrpUnC8Rx8WIp+O1JQxHaio6Jb/AGaLU4WLFaVRWVsCUYbt/wAWSIty7WraqHWzS5uItz/i7reHESq4qObnu4gj3M5nkA0bEOFZyGXpFNiuYRPGMkorWz8rGkwO09l95LZ7TFpszAK15WlKBKsLuHxcplsTbW6sEdbERq3Km/xiTFS/q2R5PArQxa5BeRiHCjxXSRELDzHj4xu+AumzpwnMhUe0TMQ9nJEdZPi7tQ8WJaKdbUNUzZ3kHJ/ijktDepZpEVPj2NxYRlqYnCsK0ttLmO62cKfCsydRREaJrGN3xpS3jREyFdhE2T0RC0adM+Cutseq2IshEuMxdFybl01k4s7G0aOLFkegIbaOM9FiKKChYT+ZUOwWOfAOS7IdDMxpCJcfTcibkvyrhZ11yOJIILDdDza5liVnckbY55auPnERi7cibkzyTpBQkQLl5njNRji37T72ZNUpcyWge0ZNOTXQFfU+txbIqMOueMTmncPI9i6+2wnCsKx7gmfhB1+Nw+vG4fXjcP0TScMVtHuZ0UfGkzU1iXCNERxeNY8tzWDFkkDzthkx5IiYZZIpMmD8mHaJDwyKZsZYRXy+Dof3dzZTIP1wv3JWgkFcGwQ4PjeeOIPVwiCrOTY2E48xs5sDq0UScrK12NEB41TnUkJFMaaCh4iwxOJizzpVTtlSQFrYj0q1yXol7LyztiHk23kyiA7wQ+w+/wCOoqh8tNneIMAK22O72Zh5upYa4+ENVat+JQVBnPzQnS9YRbl42ak2VNihmLrIFvvgCoypqlCYrrrGzI0EZl3fKFTbyAPrH06XMk1+sTpIkI0w7x2MD3TlyGAlST4CUsFNC1rxMMXZiDVWsdQSHrhMz2cQ5OFgZI7O/aP7yY71G5ctscyZMuT3gFeU8t11kVHNm1zXa+AU+4PXiPn2NucfsFk2dE1PRPcFK/CMr8DB9eBg+vAwfo7OiRtMZhR46ib2K7c5c9q12OA65GKyXACBpqWwpqvuIas1bMRqo3Gwsk3WvwbZ5+lU93YRUmccslVnT7CQESHbf2MpWCQYHJkyx2LAAiD6jNzUJiLEYASQU1zSYJQEdAQCsG0V8JMZahd+hocytz59bN4sVjEDmlMQCYeVIumrGIluznYhW0zEhpnitWbBkegIYBhMDJ582uETrhYUHnSJ1MGyBIClipIiB0TlvIh1SsoHBZQJ+Fbmoparzg9dnvToObEOgt1ckmiHh89o5GFSUXcxVJkuyWoI8UZU6eKZTjqpFipMa1ixcmNbIIN7xEP7/rcPFKdXVyirGdETK9NxAbUbLSoYqS1dfeG5qYmDJlyc9Xq/l1TrrQuOcnSJeQNfU+444yJjQbAqQcTnfjnqVhCaCnvA7A/+LtA97w09fS0JcS0y2wjCEpziIxh5xtLqWWG46XozUjXVx1cIwlKEJbT/ACvaApxKa/X8vKeeaFRpBrts7iLDTHMsQIhw2uW7VQy+0o/8c+zSeyANnEbhBr632E22vDrfvDNmnjLwRmoHD9npgkUfk2EZDk9dOEG7PEUHEE0LGPzGIqohGS5dpViGQX7OfSEAiSjRMbFsQybImTWB7Jmx8WZqBkueNuzS1XLTycQW3DnRyDNfWvA6JYRs6RPKRBaIc6ORZl2AbBkPTGIzXiAbiZ7KbOYHRxxeMU903ZR7sv4hbiUYUTaxnBDSSDSspVhWNHhqZqXnmRUY0acnPAACnXJCYqIPEUAzGqnWkwoCGGvYbRZPBA1SN2SvbRYnGC1aV2wD7c9OIxHe+j2u+j2u+j3QQGd8WqWWXYq3DkKHEqtXRz1bXLfTTbjXR7VRc+7uvqkRaW9oQzs7kFhtL+yaybodZMRX5w2Q2oxbrUJiwrJoLHKv2KNV50sqJitG7a2w2FvwIc8V2fyHojCDw6YmyCCMFjVQAwJNblqVinWsDAhUkStTor2NhkRIkQJGfdndGc7sM2aDKM6lW1pmRDmMkIvsV7upG6ppPScssECxjO/Bc4yIyIOtFnPgJD+GUvb3svk40LBG340s1LkuVozORpl7DyHEcRNyZlMOV8Ap9a1tCo5s6uS7W4y5saK+/S5kaaw+7zjp5sM3m0lk6s5V2xYdnOtPH4vbgezaXxBfvIoJUeyiaakZYx9f7GVbqxcahNShJrsipGCUIjUnJQ5dRnzpuK7vPQaqWhNQaY7Hrvhd+dXl1kySwcrmSCvCJCbP0EAKEkdFK5JUSCV1yFNjUjCK27Vi5XBOtzO9A1cdizEVYqMxJpTWa2cEZLgoMfskLnzZaIERyYYfYnsQuwiYgxpJybNiahlizsrOOtjEGPBv6t/Vou7w9RPQvMqWyiRyTRSSiaF7Y/PZAhmZMxa2ovfRrQ511+FtAHxlAW/21frtBd/p2g+/WrqJLWRqO5Ptbj2f8ueqBVHHswq2xGwuVEgJG2Vl2bjO/EuG3MQqFmC2fVPfWDrTjjsCA3HbOQHJwwCidVj3Nz+mpD3epgj92WdVNtMqJIESRltizMVpzuW4/PzblHbe8SnE5F2uIQf6DQ94nBWUMB7/AKmRW50RATrvoZQRuAdxpuwzxMIppmsio7unAyXD7sB5wq7Vn23ho9kVB8rjiWm6qhVwuXJlDOLPGjWg8aAZj4NvMokNeEg2o0ZqGwdE4ODCUJyaPJgMz9BwXd0n35+TmMNSMlEXh1Q3aZGRYKZR1iIkhbVryuTLnqDApGJMNXWj9CmEK1hhGNYxu6FoS4nm5xvwVhsw55h3DDleQqRJI+okQwshohD7olwr3vxGsg6VpDiXMfNLXhtC7PLdhNTW4ZXUqDHnJ6bKhnG03pIg258mAAZhTeZtLMrjDq2FRXw3Knw0kIcsPGmiUJ6iPhSzOH2sqiQEkLW21h6wPTXkxN5Nqm9V+KEjw0vFY0TAxfFi+1LkIMiccPd7yYiIEBiZPguzHZ8FU2YsdOV2pIOaPlQSMvMaE0tJWWxrxjNY1jaM6jKNoi86FXPt035VaMOIEBpA9mMFVXyBKyjBGm3Euo6bhxfGPSTZ40cLhOZPTiWxl7S3Et+Z1xLLdRQu323l5/1wG25XS9KZjaxnfjTbiXUe/KIyuHOlzH5ESvyJeRtUSzq1QOsIlWBKhk+0uv5HMSycyCzwI3taNUxxAdmigM68CV/XgSv68CV/XgSv6utNExKwDpYZ8H4Er+vAlf14Er+vAlf14Er+rHWYQo78vfMIxmDLHEStBStNW6bikT4v1nO7GbBlzU6EorEhxn2MziTQ/TJ6O+6blKhCJoaPGr0R3jxTsJaCHl2lmnGodeDtgQ/KnkWx6YZGRMehB5EHDzuGGvEkXUd9MlkfGaJEwH9h0pCVNYq3oPv1Y62JARhuU6QiwUkbfhOgx5yZKEw+sqBTcYcHhmoq/a5zuw1Iae8q3EtJbebfS6+2xhKsKx0uvtsYSpK8KktIXz5OHMx3r6YYdppsmed5ZGylB0wAdIl5/t7KYQKhsyyDsYKTZMDOm8w2GzGiEdUuB2R6Tp9x2eTFu/5M6I9K0yMlNuzouJ0N1JOWPxl9iUZiOyleSQ+iKxSmF2uy6XYMd/8AJlRlJLCorrOo5J9Rh5GXGu6Zmo7amWctyhU+JHmQIX9S2QMZyGJ+AeYS+iwVGS4qJT3lODau3E1a21CJzDjT+sY3e2uC1zyR8PFpyvIcALNmxrMKFdRQqNcSdZxkPYentoctOC5ihhIOmwjAKikHpwPn32vL7xCC0BxvLuYvjx6wL7tHe3tYyTKwwfnJNVYS4FC9BtZBEAnZCs+39MmJIjz4UGRglytpZZx1AQS0DFGiaRA6nDFMxtZzoROeIxPPLw6qK5V2kD07+r7BRB1Jf2+WEZ1hvGNXCDNmC9m7ji3/AG1pzgdZL+6mZFx+nkWdazYCI+IHtdLcSPmhVJJ3boz+uKFEiwpjENE8vUjEfNS2eMq7l5+U4Vzc4wrHuLE0R4HiwjZdBoCxg7pskTh7UemQtTbLbz7UvkzJbcGLQIjp8zqZnNqseMbsEykYNCyJUZNcmQ/KQlOesnnkJbdqiDoSRsH3TAtiLO9tLhsT44qqigjvkKg4BtsTWxoPRasjDqoA+MMj9JarCjjkAdGFR5dNCzpiEJbT8pJ+3cgNtRGoAqPJAdTunptg9xq99Dr7bOnXsuRYDSml9Cs9XDapkqNDkdqjZW9NlxJTymx0p9+ZraMQdJShg5oSPtZjuyBWxGAw1sw5JIisruMHGN2ORiYxla23nJOP9dD7r0idCfd45CQ43rC3oUuZMkol+eWZmpsY0TDDs/F/60PvMSeX+SNWCQOK8raO4toVKcVkhy1JwtNgcFhBmXnYyQ70OSN6boL4Fm6OrjMB5/siWpLuHiDfEY7JjTiOu1DnsxhcBaYEGO8iHPGZ4z0T1cqRaED9nI14lLfeRHZBsrsRm0H2oTQ6vSUGuSTxl1URDeZzpHDU7XZMaHt8NniJiF4riXiE19CsyXkTJ5X9zyuuoZbM2KdeSsRlUeL8ZapnYa/ke5BFw5CZcT5G0/kXK2l+lSfv+Ze3UwtSNpMXslStcQYN6boFjRbL0YbThU3/AB5nG4k7pyw2peUYVpxlD2sY3Y6uMZvEpyz2CLFbhRrJMcMkCExoFAABoloG4xhOOSpOF43YbT2STKixnu0MdDjaXU4QlKcIThLbKGdZThXlkSG4rJc1P2ikgACLXYHxu0qRwxBoZ1aBSZXaq58jafyLlbS/SpP3/MtJiUPSRmmCRusllmw3QZJqEwTVzRYLFzLMdbrobZsCcjxLIbwGgjW8VoaHDz8F/wDXuZ8+OMizyZHaWTBAYtfg/HbRVdqJlYuHxGzSRvhfI2n8i5W0v0qT9/y3FpaQdEd/RYtbKQB4iAxWg/TYW042scworN+ucmQyOiR5HeEwcIQeRjG73Jw9Dr0JxwptKKhAkcFC+PL/AOftE1Sv/n2n5G0/kUU5FlzeTtL9Kk/f8tScLS/UMx1d02hSh9UYjv8ATa3EZv3Lv9l7hEUiuYrQQ+W79nhxS5DuMbse4tl6h1pMMYTuxcOHYCxPjrGYyIhIZMLjAHsKtWpX/wAzaL8jaPyOvflXJ2l+lSfv+YtaW0MHx0ny3Roimz8qVJbhx6tHcutnttgV1q1XMYb9xNnxxschdyNmfE1nEiaIEMB4vwJwn3OLoJ6UUe5lrd7WcfVhsdWR7RJgXY5AbVzkcV1h3D7Px5AkwMZPSESzde/KuTtL9Kk/f8y9bnFxxI/BeiPOP1jpuUCa1auVeCT1kLlSDFUF1itZXrGN3tydjGB0StpUgq4xQ5hZeVd+OChTAiL8FtBd6ld2eu9nsPMssdvGTjvBAAmOEBmsIfgEhjzUUFZ0RBsOR2uN8dePS3vuK9+VcnaX6VJ+/wCZa5o6IJlVcQOHDH40kf0EScURGtFkGGynJu1oTWRIJjFKEVyvOTnsY3eyO3kZXZ2drYncra5F3/UQvJ13veCOvBlmLaG7LQ0NW6IIiypsu5TRgxkVF+D2mObhg5vsFz5lm/bss3DzKGeziH/spicLiZwqBNZkkxbca7utYZuQ5zTZ8c5pE+M5pLiVa3/E3j0t77ivflXJ2l+lSfv+ZcIUhendog91uoDXhIDokxWZjRmB2LanyCE9kXCiS8myQEG8YlYxux7J4fFkOIHRW9YThPkIEWBcdbk25zhw5kZG+D/1raPJQ8qwJ7HcuZbDhGUegAbHAlZftKm1P2hSFP2laSsSyFmINfssJ6GbOH21s2BzDgqxr13Lat+A1m1gVZcYn4PC4QuT2wb8NePS3vuK9+VcnaX6VJ+/5lqMSh2O7LZoY3KZhdNojpRtE8/+tW+weLCtcrqia8Y3Y9wcsUYK2xEnWmfAgNDmPhJC8NsFV9tk7RP7BbmN1xxFy81UALr0by2USo6CGRcwR3w149Le+4r35VydpfpUn7/mW8ZPJxkrueEiHJTsDptyceM/PtEt6sKpFLw41jGE49u44lpBG1uzXR4JU2XChNwGPhbK7wgjCktydpmMOMxXOLG5U2Y0PiZuRFuLHfRKY6T5xqvjnLYRF6PWHulYyyyFE+k9Ye6HB1kld6ELNJyTr9gwZ+GvHpb33Fe/KuTtL9Kk/f8AMuEyUlTIAk/NpPA8OdN0eIKs3mvlzwAYo1IVJ0lOEJ9s682wifdYzau5iR7TDCZmYcNuCz8NZILxEZIzlslZn+21ACvihOVtFznwvJaQoLs+WpyndM0fFn6u7hVaIzqJe0O5/wBJPpILIP7QmpxMIcov9Tsb+jaP8LePS3vuK9+VcidKxCh2iwosQKT9/Wjk6baOUtaW0WCQEMCCcgVJlVmNDiBehSsJxenErIeW6W9qrwaXTny8pKcIT7Yyg29LbpSpS4w+EHZfnuWCfCgtD2fh3f2oLGJttlrzgFT3eNW+UdFJNiXPE0kYLHtih/TaRUsgyRzYLHDLAZUKVGgEzpzpOi57BpmATsBp2CUrxmtiJbc/4W8elvfcV78q5B/0VH4xJ+/p/wCacpScLTbOAHhpkVBSR2YiofQZDRj0GSMYDbTvJa7THq4+p1WVZyCU4Qn3EmU3EalZnWfUSMmJH+Id/aryt9xN9dbmz53iV3+AXj0t77ivflXIP+io/GJP39P/ADTl2NwUxB7/AKZurUhuUH6bTGWjaJ02SxRq0NrVel3UmlOEJ9wRKMjm4ZLNksYcNGBQviXf26p/XZSbXWa2eK6kP+AXj0t77iBIVDM1ws6Xjec/6Kj8Yk/f0/8ANOXdm1NLkGB4czSVvrrXTbFQs3zoPn4tdHgAUy/EkIS2n3NiHTSUrCcJ+LfzuYpH9ZUZHTLlVCYmCV+fJrU0OemvzQr33Df39G+w85/0VH4xJ+/p/wCacp/r5ZTZjobQ+yhT+seS5GGpNr0QnsC4btdh3t5CEto9yszFsE0EEjV4b8WUd4A2ip3ODM7pL61Ry9dsCCjPzxb0pHob33Df39G+w85/0VH4xJ+/p/5pys53YI34RBWQFkbjoEMUHFdN99QyrCdDMFCE7GN2PcnHzCpbbDbSvjLo46iv1BjgNDvuLFEXqI60RVEt02Fpm6wF6TaxiteJBuopmHNd+N/1rrY11sa62NdbGjR6ZYzJA1Os5nGcbutjXWxrrY11saIHYj7KPQ3s/wCQ1+pCtTkBxjEhElnrY11sa62NdbGutjXWxqXaZM2aj8Yk/fh52Rthqx9Vghb8cl1pL7Q0HAEI8hyBKIj0UQo8QK11ssW62NdbGutjXWxrrY11sa62NdbGutjXWxrrY11sa62NdbGutjXWxrrY11sa62NdbGt+/wAxiComMDC44Mb1sa62NdbGutjXWxrrY11sa62NdbGutjXWxrrY11sa62NdbGutjXWxrrY11sa3491tHIyRdVjVCwyY3gqw6XRj7qIuzAjCWujn3E52XEVKJ1UiLOfTghpGz4qzrwTYdeCbDrwTYdeCbDqjvEWj3xG1NHFE/SsJr6VhNfSsJqxVUcos812HDGyUIy19KwmvpWE19KwmvpWE19KwmvpWE19KwmvpYE1UKQOMv/SsJr6VhNfSsJr6VhNfSsJr6VhNfSsJr6VhNfSwLr6WBdfSwLr6WBdfSsJotVIVYsXsLCGYsG0Z7ZUHyyxsmRgB9Js9ZWyIpwXtn5EIV+lYTQvZRGQ9jZJJ7om7JJeXz+zkzXxwvZmHljPpRF77zsnb7a7skmcCRshO9eiUQafrRPZRGVIm7J2cl3dkknhPbIDuVbJYMgWS8u1RWUU6NsvCux2tk8fvtWybHEkbI5mUT9k5yPil0EYbrk/ZRGVPf2TsZNI2SS+zr2QH9UWjRyjhvZRFXAKbJ2Vxp2yVan5myItlQGhuNW5/ZUIyy1snR4eXsmzxVbIi3Bh0wpVLL7k0FjH4DLSWGfLMCxp5HzQwcWAS+IlwI09PTFFRIMmEKiDneTFgRoWebIgx5bnsMwI2ZnkkQY8xfklw2J7DbaWW/JDhRx7Hkjj40R7yzIMcixjGE46VoS4iJDYgMeSNAjQ1+TsEbtnkkQY8tz3MwsULmK8alSJvT/rUUmesqw9qy6GxPtDg4SSbLjeglPbFwESrVKglbO5DBvlDlaX8I4vDaIlwMz48B52RCPHGQEHFqIQHzdicgzgtidmT5dnmPka+eQdj+YxZHoxMNZHZZKQtbbHiWwbgtudIiGLWdksGDyQotq1TYcvzFCTQgeq3lY8SNIRLj2A/gIiBZpSCZWyvtkwNhyVectU6dJAm2T8DkWE4gCPVZDAh3RawTO9gR+RLn2i9RAbbauu35SF8iJKasRxIGD4jLiZPml32KoyfNNgBrtkNCMWCwLGZhWEhFLdCbGYLrrxxB8ebLtAhrlmNjGSJyCKiVSyeJWvIftMCvN1wmsyFUrCEtWU0WQCMtHhvlsVsg11sAQWWDYshcu8PtceUCzZj7cGJKbmxfbUj9Jyf12k9Ks4Smew8VHOcWJUWVt90bOsKxVOjaT1vB66xNWMcKrMu7RM48Kw8KxE+BkP4jMfUEfrNnaPRoYmzjA9dMpPiLy/ISfJyjVaQF/uXs7/Rd9nP9YcP/bv3kLWuIGlfUEfpDTTjIp+Wm8auU55aTQdeKo7HswUYSIoNF9oqcZrMfOVR+mfNQOh/UEfqMYGW5N1yb7FXno0gHO/ubR77/Sipf1HyKlMX3Z2lKalUf6D3IuH6ndoe7wjA35g1b9bVP/TaHtGYbxWmP2PLc2G2iOrV+tm2jfiUbf2fy25hto7ePubxhOamNypdxvf6L0RypMDZ9hOKfTv0L7Q/sbfhOavXW+0V2h4wlzyHGG3BVE/Ez+VpCUjCcVKhfpjy2RhtYKs5Vij7PMY8KF85xFkpb7o2f5Vmn+2IV+fHLV8A4Ne6c4wrDFeOA9CqsiLDxWj6II+C0MhdBGA0Tg4r1iTDnVKPIBeHC5d/4QrEcnDsTbT2JcOVUqcfFSjEKfGNWxJYZPHnBQ0gRPIhlqwQq4aTCX5psQsHOwxxMyeGEJzx2OGkuXM/BkkBcqTZikIpVF9yy4pq1Of681mEOGxD0+zzYkxqXUqvYxEuRITCK2MtMHkgh0CKmuFoUU1VNVUK8Ih8izA1HIEgWcseZrJHJEmIIwTYMNN71tod46FbT1G/LYwr5aUXRNcHnQUgwLeFm7G7/rzHwr5QjZAnfwyWNP2JmwApEh+OJKGS+s/riKMO1vQUFIChZgOSbrModYzkRllMdmtBXhC/IQYVKgVoa6HBwI89TkQbYa+xWwuAIvylYqpwuvD3BQSOLOVtUCoJRX1D7O8NHwmxsH+GPx2pTfOajtMK5r0ZqR/G7AfwEbkWU0IajSES4+lzZCTAA734nlKNMJM//wAetQOZOflWsnBYsk/LIs4Mm1eFkk67ehlq7mQYlP0+szJMUdDFTsExpJ2SfssCGQrU0QJm2ke4fmu00nJdbpZCeRXGJxZVTISRC17Rvi5TmWo1MLyDgLSZLK3FKwhKZLK06y6hOWnm30qkNIw4+2yl17dFqh1ROu6xLYU4dMSB5tuQ09nrze+xZomXrZOxd1T0uoXniJ6/wbtwlxbuRmoHQKHYpx9C5TLbmm5TLq8uJTlqQ0/0TSjyz7shpjWXE4RmS0lwwuahMMzIeuGHUZWuUy2vfu01JafyyUdYsfw1mhkWSMqzkSEawiXwQArIK2uM4MfTeRNS7aLUKKHqs5NnzGorWWIxONNB2IdgoenC5ZerQmqnLVVJEwyUrihEzrXIfIn6LMy4Vz+Ln/Y7NPxS9zn4gc1Shw0LLlrtUm112GEdJ27A2fNGtmtoT41iqWkOBjnbAOGMW05Da8P2SjVAcUqweSpquG2g7AC1s5KTrSCh1WMjO/aT/wD5naA0OUbw1iv3uuJ73tPwZQaooYNFfEoSBOyIVAYBSB0aU6/QzvdsEfZ4OCdzICIlZtOqsrtVmKRWmD7/AGNOz5ukjpQCWQeJVU2akBLmMwwGqQ9kFIHJSXJUcd3Dgvdc9nm/EHAWDTnzMlvL0cMFtQKC4EJHg8kZZC8WwCWkKsiDEmbom1Oc2ijwxGaZAhXhhKUEJDCwqvy0yQoWyVwU5ScrqxIPYbCKI1wqUYcDGT0nAV/Fv8ITPB9jBzpWdoLS/D1YF90BPgxwR6JY65Tng52BWVIfjQLOLikqnJkgTYOwWUYoRNlnzoV8kX0MT3Tc1Dj4mcVBOiKhFhWR0MTqalCooN5q2C6u8OdiwLOJjSa3P7kkBTViesCO9LN/JrcPjzg9BHMSV6TFa8X8wlFbm3r403HQtWrKwiSCgpwiF5hcdvBL2P8A/8QATBEAAQMCAQUIDgcGBQUAAAAAAQIDBAARBRIhMVFhBhMyQVBxgbEUFSAiMDRAUmBykaHB0RAjM0JTYuE1goOSsvAWJUNUcGOAkKLx/9oACAEDAQE/AeVAL5hW9L82ihSdI5bi4NNlnvEW581P4MjD1JEwqOV5oze/5ViWFP4arv8AOk6D/eg+UsPOR3A60bKFf4lxX8b3D5VMxabiCA3JcygM/Fy1hJjtFT8gkWsARxE8fupcVHZO/PJ+vHBsbJXbqOsVAmPSEHspvez181PwRhaFuWU8lWbJ09NYlhYjtJlNZkK4lZlD5+UOOJZQXFnMK7cwfxPcflUefGlKyWVXPLW5/DWZmHKEgXCldX9mp7kVMRS3s6Bq+G2n2UTt6Q4ku3F0KBsbfm5tdJjTHUgOuZA1J0/zH5VPlNhqQhpqw4OUc6ib5852A+UaayE6qCQNHLW5+RI31plrO1k59hzn+9lQMHEZp6O8cpCz/fTUOOhmUpDfBbSEjpzn4U9iak4giC0i/GTqrde99kwNp+Hz9FIU56A8HmT+tJxt2Y9HVEHek2WNX6ajXbRMNVwnKU6s2Gwd78Kl4rDg/bLz6uOsZxAYlK35AsLWHJiElaggcdLcjsrLQbuBx8dSWgy5ZOjSOnkeNJdhuB1k2IpzFJTjaWsqwTq+enk4EpNxSnorqt8cScrZoNPul9ZWfRZK0rGUk+i+JSFMtZDfDXmFRI6YrKWU8Xouw2qRNXIcGZHep+J/4uUoISVK0CsOddkJU+vQo97zei+IKMp1MBHHnVzfrSUhACU6PoAJNhU7DDh7TZeX9Yr7uocV/l6JyX0xWlOr4qw2OpCC+9w15z8B9ABJsKaab3PNh98Xkngp8zadtPPOSHC66bqPomv/ADGXvf8Apt6dqv0+gAk2FNtt7nmw++LyVcFPmbTtp11x9wuum6j6J4jJUw2ENcNeYfPoqHFTEZDSf7NAEmwpppvc82H3xeSeCnzNp20884+4XXTdR8sCSdA8BYmslWrk3RQIOiuxUGR2SdNrUASbCm229zzYffGVJPBT5m07aeecfcLrpuo+W9mvxpLbLSrJcCgoa+9uPf4CJjmIQWt5juWTzD4iv8T4v+N7k/KlrU4orVpPJjiQ48EL0WvTje9uo3rNfTQBJsKabb3PNh98Xkq4KfM2nbTrq31l103UfLlsocWhxWlOjp8A9iEWOve3V2Ndt4P4nXSVBYyhyZibwaQEpF3DwajRygDKzrptpvc82H3xeSeCnzNp20884+4XXTdR8vxAkLj288eAKEnSK3tGrkx55DDZccOYVh7K5DnZrw75XBGofrTbbe55sPvi8lXBT5m07addcfWXXTdR5AxU5KGl6lp5VW2vEpW9kfVoP8yqaab3PNh98XkK4KfM2nbTzzj7hddN1HkHGBeEs6rH3itPKYBJsKaZa3ONB94Xkq4KfN2nbTzzj7hddN1HkJ5nshh1oaSlXtySRUNzfYza9g7tWD5OEDEr5ydGzR18lzpS27R44u6vR86hRU7mIqXZRy5RGYH7u07dVPPOSHC66bqPh40JkMZTumjs8jYeMd1Lo4jekxFxpBEVVmL5knSNl+7c/YnYn/SC/wD2vyVMlCKjMLqOYDWawvDk7mG+z5/fzXNCfMG2nnnJDhddN1Hw8RLaVb68bDm01PmJeAS30/DyuQ+3GbLrhzCo0pmcu0dWUhUaw5Kw/DxgP+aYiMqWrgI4mxrP5qeeckOF103UfDgE6KWsqsOIeWYgwuTvTaRcZQvzVgEZOD7qnsIHAzlPqqTe3Qc1KSUqKTyO66llOWqoUXtIkYhiAvIVwG+Jsecr83VTzzkhwuum6jybDRvklpGtQ66x6Z2v3SJxfibXZXq6D7KxAJEt3IN03Nubi5HjREYKEz5ybyD9mg/c/Mr83V7aeeckOF103UfIH5SY5AIpKgtIUPLcBa37E2E7b+zPWIFMqQ8pWcKJ95qUyvc/IEOSq7ShdtetJ0A7Ro/SgQc45FVCOGIbkSvtDnCOMasrVzaeKnnnJDhddN1HyB9zIT3pz0w0ZXCN6AAFh5NHw1k4W7OcX32hI6Rfnzd3BnOYe4XWgL2I5r8f0KxFuRA7AmshwC+STpT867Uto8XcUjmOauwZY0ST7BTUaWhYUt/KGrJHISSUELFPPOSHC66bqPkJvMcz5jTTKWr24+5CE20VkJ1U8lITm8OAVGwrF1b0puAnQ0LH1jnV783Ry8tYQMpVSXnFizVRwQhJWO+7oaPof4Hh8LdZjyQ+99y5G1XEPbS1KWorVpPL0x9KU5IzmoLI+17saPof4HkkdlUl1LKNKv74qxbD28McSwlzLVa51eAjsqkPIZRpUQPbWOYQjC1ILK8pKr+1OY8nyFqDZLWmo0cuq35eb41o7saPoe4HkbTS3lhtsXJp1xGDoMeObvHhK838qfieiiSdPgNzSArEkLVoTdXsFOOGdgi1q0ocv0K/Xk45xUWKtlZUo+B7I2V2Rspb2WLW8jjTHYeVvOYqFr8Y5tXgX324zZcdNhW57GYVpV1ZLhbISFZib6qwT66PMieci/8AL6LS4ypLrXmJNz8Kfw2M/gSnJCO+UsBJ4xYcRrBcUe3PTUOTRls6CoaQDrFb9HeWrsZeUm+n0VQElQCjYVi01h1LUSJ9m2NOsnSfokYdgWMAPOKMZ/jKRmVtsOPXXYk9r7N+/rD41lYqn7qD7a7IxIaWB/NUZx5xF30ZJ57+hcWDJmGzCCerpOihEgwjeU7lq81Gf2qOb2XrFcRYmZKYzIbSNQFyefV6LOTpLrSWFrOQOLi/7EUpK1BKdJrF8D7WNJdQ5lZ8lWxVr29D04ahSQrslsdJ+Vdq2/8AdN+0/KsRwhuC0l1L6VXAzcf/AM57d1ufYD+JtA6Ab+zPUZ84lHntnSfrB0HP7vRaVOaiWSq5UeIZzWAY7BZMguqyHMghIVmuT7q3OvBrEUJVwV3Sen9akMmO8tlWlJI9FWomTJXJWb3tbYKlw2EYGlEhAKnlXz6ckdWem4svD1hyA5o+6r4GsUxZ91zs6ZFU0lfGO+Tfjzjq003iMR3guCkrSrgn0TZc3lxLlr24joqdPfxF3fXz8gNQ+iDi0iAktIspB0pULip6I094vLYSL8QGajg8I/ct0mu07A4KlDppCchITq/4hZcw55sNyEFCh95Of2pPwNLwd1Sd8iKDqfy6elOkU604yrJcFj6LtOKZWFoNiKxDF5GJgCRbNx2z+j1ja/hW8OmPIDjbSiDsNdqZ/wCAr+U+hUxDa4zuDAZ2W0qHrDOr238K1iMxlAbbeUANprttiH46vaeX4MlphZS+jKQrMdfODxEVOgmIQtBym1cFWv5EcY8DhLHZE9lrWoVEmBe6JSzwVqUno0D4VIaMd5bR+6SPCPYk0ystqSrNsrtuz5iv5fQDDZYQexX87S9I1fmGoj31i+HJw51IaXloULg9fd4hIcbCGWOGs2GzWawaFi0Z9UyA+FKaSVELGY6+vNUTGQ3IT2QMhwG+f4Gt0bQTPLyOC4AodPoRHjOSSoN8QJ6B3WzuyhJIURnFONHBsMW079s9bNqSPnTzDchOQ6m4qFgDkxje4EspcToQvOkj8urmqW1jOFubzMjgnYqu2hT9owsdFduYo4Vx0Go0pqWjLaOb0EgyjDkofHEfdx+6sSiiJKU2jg6U+qc48gvfT4NIubVL3NzIUcyXSnJG39O6mTW4KQp0GxqJLRMb3xsG3KqoyZuDCUVjKZzbbE5r82fyyVi78uG1DXoR79XsHdS4yZbKmVcdMMpjtJaRoHKqXFoBCTp0+BlQpEJQRIRkki/lMiS3FRluaO6w/c+Z0dMjfLXyuLV08sYOx2TiDLR84e7PWPP9soQleY4pPQc48pxvxYesO63P/s1r+J1csbme9mqf/DQpXu/WsO+vwqYzqyVe/P5Tjfiw9YU26h0XbN+53P8A7Na/idXKDTSn3EtI0nNWIQXMNkKjO6R3WJvrZj/V8JWYdNQsMnQYUifh73BASpKs4WFZjzGtx85qdJXG0FaFJIOkG36URY2PlGNOILIbvnuKwTxdXrHudz/7Na/idXKGAo3zE2Bt6s9brCHJbb6fvoB6+6KQrSKeBh4G22rhPKyv3RTkW7yZLKi26nQoaf1rEk4nhbmXOb3xK84WjQb7OKm8WhOf6lufNSX2l8FYPTV/JcW8cX+711gni6vWPc7n/wBmtfxOrlDc9KYYxdhLywCb29hrGDvkGC9rSR7D3SVFCgocVTJ0jEHd+kKufoj4vNjMGMhfeHi0+zVTjDTv2iQecUrCYStLYrtJB8z3n51FhMw771x+SYt44v8Ad66wTxdXrHudz/7Na/idXKD+Gvzn3n27jeW8tJ2pUD1Xp50Sdz8J4a1e/PyDi3ji/wB3rrBPF1ese4SkrUEp0msHjuRYSGXhZQK+qsQgOYc6GnDckA5tvJ+Bgb3MUfwle+sIXlbm1RTwmHrdBGbkHFvHF/u9dYJ4ur1j3ETxlvnHXS+GrnX/AE1uo8dT6ieT8J7zD5zn5Uj2mg+rD5K/w3wAfXB733XHIC1ZCSrVUuQJTxeSNOT11hTqxIS0D3pyu4ieMt8466Xw1c6/6a3UeOp9RPJ7JDOBPHjcWkezPWGxI2JqXh0rguiwOpWlJ/vXanXJeDL7FxZspI+9bMaTiMNeh0e2kymFGyVj2+WynUNtkLNr0jgjmT/VWHKCJKVqzAZVAgi4+nC4Tsp7Lb0IsTzXpfDVzr/prdNDeW4JYHeBKR08oaKfkOyTd9RVxZ89KhRl8JsewUmBFQoKS2AR/wCAH//EAEURAAIBAgIECAsGBAUFAAAAAAECAwAEERIFITFQEyAyQEFRYLEQFCIwM0JSYXGBkRUjNHLR4SSCocFTYnCS8CVDgJCy/9oACAECAQE/Ad64isRvt7iNNppbgyg8H/WoZ1mGrbzllDjKa8Tg9mo4I4jig31PmbBVoOcmVT5PdUsaqfIONLJwxA1KR01DNmORtvOI42lcIm019kXv+H3VPY3FsuaZcBvq6maOUZaiD5wF20rGPEg4df7VnjHJGPxqJDmQlvlznO3XRJO3fV0q4FjyqluM5Vl1EVIxZMT0mlh+6MhNWC8puykkayrlavFljVs/yrgTJ04BR+9RwySckVbxcCmU7slkESNIejXUUN5cxiczZSdYAAwH61ZXDXEOZxgwxB+I3O6LIMrUIEBJ3cyhwVbYaS2voE4GF1y9BOOIHcatbdbWIRL2WZShwbsvo+3E0ueTkLrNXU5uZmlbp7LzSLBaJbxnW2tv7D/S5VLsFXaav4o7dlhTao1/HsvYgW0TXz9Gpfj+1MxY5j4YpuFY5Rq6+ydvA1zKsS9NaRnV3EEXITUP7nwkm7OVeR30qhRgOyaf9PtM/wD3JNnuX9/CSbs5V5HfSqFGA7J2Fss8heTkLrNXdy11KZD/AMHgJN2cq8jvpVCjAblx3f4y4t/Fxsxx8BJuzlXkd9KoUYDnsMEctvK7jWuGH18w9tFKczivErf2aAwGA3Z00pCnWPASbs5V5HfSqFGA58krojIvrbfMQ2FzcJnjTEV9k3v+H3UylTlO7LK0FyxMmpF1k0+TMSmyiTdnKvI76VQowHP9HgFZ/wAh8wHYbDXCP17siiedxGm01fSpAgsoTqHKPWf2ok3ZyryO+lUKMBuDRet5F61O9UdNH22dT944/wBoosbs5V5HfSqFGA3Dog/xajrx7t6szXjZRyO+lUKMBuK0k4K5jc9Yq7j4K4dPeeOLj7/gd12VqsuM0+qNdv6VczfaEzcEMsdKoQZV8/e6SuWuhHBycQNW3X/zqwoY4a+ZsMwwqa6iuY80yfe9Y2H5ccfieE/zYf03VaWpunwxwUbT1Cr68+0CLa28mBf60qhBlXz+kHmkQwWwxY7deGA/etE6Oe1Jkl+Q24dfO4IHuJBHGNZqaGS3xWUYEPunbV5di4XxK01RDlH2j+lKoQZV8+zBdtRxhMW6Tt55YTJAZHY4HKcPjWk3N7o2K+6dh+Ioa9zxRNM2RKuZkm/hrXkDlN7XuHu76VQgyrzDDHbz2Q4ITWik8asXsD64xH5qjxCANt3PLPwoNtbnyfWb2vcPd30qhBlXmBPPro5YWqAtCFK7RhRVdKx+NW48sctff1iiMNR3JtovwrFI9nX+lKoQZV5ga955u0zcMIgOPLEJRlbwIjwzcPC+U19qO/p0V/iNdeOWp224+pqW4tXQhIMD14ncW3VSqEGVeY7aHFMj47a4V+urZ2aTAnmFuM2Mp9bu6N/k9VZcwwPGO3wWvpPPzqzplXpoDAYDfxNKOOdvgtfSc0dsiljUEpmBbDAeYZsiljVtcGcHMMDu80B5htvgtfSczYhRiaANwczcnoHmbw4QkDpoDg7kDrHdu8DDzJs8fWrxP/NUVvwbZseZvGsmGbzMEElw4jjGJrSGjLmII2GK46yNdXPkvG/v7+y1rcrbxS+0wwH96t7ya2u/ujqw1joPxq5tINKxHxbyJPZOw/Cnhlg1TLgeyp2aqgjZc0km0+CHSV/aDg/SJ1NXjVjJ6SDD4H+1YaMbpcfSuA0edkx/21cJFG2EL5h8MOxbypHyjWeSTkLh8aghaPW7Y9lhEitmA1/+CJOGure54ZiCMOx5mIPINcOfYNQzmQkFeNdtlhanXgXiPy7LW1nJdYldQHSdlXuibrKpQZ1x1lddXi4wnDo10jZ1DdlZLrNbJbqMMNvvqC4lju80LYZRRu7a7GW8j1+0v6VBo2NhwdrMHw6DqNSaPuouVGaKMu0dk2GYYVFEsS5V8EsCSnE7aguLi3XKkh+tDS14PXx+Qr7WnPKVT8qZs7Fuv/SFhMpxQ4+6hcKNUnkmgwbWOy7AMMDUVukPI7VmWNTgWrh4vaHYqMkOtx7Rw86YY2OJWuAi9kb/AJUZhipwNRS8JqOojzM7ZImNPHhaAdWukbMobzkWjpJkDhl1++vsqb21+vYCZMfLXlCreYyqcwwPHsII5C0s3IQYn3+6ri7sJ14K4hyhtWK7an0YxjL25zp7v7irQ/dZTtGrsQzhNvnQzAFQdRoN4xMCvJXvqKaSBs8RwNSaUjzY3kAIPrLqPz66jTRt0M0MxX4ivs0NyJkPzr7IuDycD8xVxbSWrZJRr7CSpwiFahfhEBO3nkd5HI2RdvGtLOS9YrHhiKurV7R+Dk271zmO4yYam54luqSNIOnjWtw1rMsq9FTStPIZH2nepAPmUkWQYoec29u9y+SPbxpbvgnKYb4uGyRMatV4GTJ1gHnOhvxJ+B4116Zvlvi81x5esipvJnjb5c50N+JPwNPG8RwcYcW69M3y3gxCjE1FKJkzjjaOhSaf7zkrrPyqS/truVYLyMAHYRtX9a0vZyWihzrXEEHoPOdDxuJuEw1YGtMenX8o4t16ZvlvC6OELVYaoyvUeMCRspfvLkn2RUF40SGFxmQ7VNQxWN6P4WTIR6rfrUmi7uP1MfhrpoJU5SmsOa6L/Cp/N3Vpj06/lHFuvTN8t4XMEsts7ouIG2rfVJIvGOvVUcaxDKnga3jds5Gukmli9GxFLpS8XZIa+2L32/6D9KubyW7w4Xo5pov8Kn83dWmPTr+UcW69M3y3hY3cVvCkLH0j4Ee4jDvpozBezRHcOi/wqfzd1aY9Ov5RxCcNdXDB5Cy+6opRMuYbvuCQ0eHtCtKr/HrcDZImPz6dw6L/AAqfzd1aY9Ov5RxJOQaGz6d9WPoz8Tu+fXLEKVPHLPJ68WsflO3cCrmYLVpAbaIRN0Fu6tKRIbdpCNYy8STkGhs+nfVj6M/E7vbyrlfcK8Zls2W5i2r/AFHSK8Vh0gOG0ew1+r0imsLtdsZ+lG2nUYlD9Oe20bvICoxwpuUfif8A5rSAL2zIu3yaIIOB8M8iouB6aGz6d9WUigZOnXvFVCcnVS3lwvJkP1NNfXLgq0hw/wDQD//EAFoQAAEDAgMDBQkLCQUGBAYDAQECAwQAEQUSIRMxQRQiMlFhBhAgIzBCUHGxFTM1QFJyc4GRksEkNGBik5ShstE2Q3SC4URTg6LS8BZjdeIlVISjwvFkcLOk/9oACAEBAAY/Av0XciPurDyDYgIoKG4i/wAWG2ebavuzqAvQQ3JZWo+alwE98NZ07Qi4RfX09kMpkL+TtBetNfi1zurmC/aa4VwrhXCuFcK4VwrhXCuFcK4VwrhXCuFcK4VwrhXCuFcK4VwrhXCuFcK4VwrhXCtQDWn2fGpv0iaY2zyGroHTVasyFBSTxHfcMdKVv25iVmwJpAxTYoXyUlDcdRKQO81g22W1CbZ28jZKsV9Saw+NGcdOGz7t7FxZVkcGtxesTVNcdMCI5sGWG3CkE8VG1Yvhj7q348VjlbCnDdQR1XpGJ4jJke6Em7iFodIDPVYVaUc0qM4phxXWR4N1qCB1qNq9/a++K9/a++K9/a++KzJIUnrFdzjD6A4ytxYUlW46VKeDDUNbaCpDrZykHhUCfialF1bYGUDnrVwsKabxLC5GFoeVladdIKSe226orSo6jOMYlL2bQJvutTww/CZOJMMqKHH2yALjfa++k4sFKVHVzUpA5xVuy266YYxHC5GGJkKyMuOqBCj1abqRDjxXcQnqTn2DPBPWTwpyI9GdgTmxmVHe326weNK9z8JkznUKIcQggBGvWaL7SVNqSrI4050kK6vSzLWH3MJdkKDJsrN+t2UXTOQZVr5Laeq9Jw15xS47105VG+VXZ5TfW/yOUdEfHL8KDa5becm1r+QzDfQUPjM+2/OPZXK5kxsPKFw07c+r1Uph/Pskqyvxybi3WKStJulQuD32v8D+NJDjiUFZsnMd5pzaGwmRBkJ4lJ3V3OxW9XGXFSFgcE2rHIKtHW5RXbrSeNd0IY5yUYbyS4+Wbm1QXcwCW2si7+bl01qdLtzJcxx5Hq3fhTzye6KewlaioNotZPZUlMbuoxV6a0rKG1oISTfrqKpRzKU0kknjp3hGU6WQFheYCvz5z7lfnzn3K/PnPuUzFCy4GxbMa7nYz19k4tYVlNjuoKUwt62uV11Sk/ZXc9IdsmEzJsrqRpoaUwCHH33EJZQnUlWYbqwwLN1iAbntvT0zudxkxWVuKJiym7pSrjpvFNe6o5FeXskvRRzQ4DooVFW/OZxmGt1LezcQNtrxFY0iSQl19Da2Crii2oH11hgjEKVHYcMgp4JO4fbUg21Mpy9d0f8A6gfYPSxjNN8pm2uU3slHrrPEQplk7lNt5U/aaw3N0uUa+vXyRNbNtNquo61mQrSsjuiquD4Sj8a1Nq2aFKlO/wC7YGY0UMxeT9r2+mFYm849Ezc9ANhaiscmQ1b31tWXLRjuKMmEFWSriB1ikusrC21biPDUn6/jM36RNM/MFJKd646VK9d1D8Kwsr38nR7O+MQyflQRs81+FYadncx5KXtoT0La/wAbWpLcpBOQ3QtByqQew0txgOOPr0U8+vOsjqvQfd2rMgDLto7hQojqrYRG8iSbqJ1Kj1k04949oOHM40y6UtrPaKQyygNtIGVKRwHexDlMCC3Av76hXPtfSof0KPZ4caS80FvRiS0r5PeWxIbS8yvRSFbjQfYijap6KlEqyeqkTi3eUhGzS51ClvuRLOLN15FFIX665AqK2YdrbG2lJkMxvGo6BWoqyeqkCYwHCjoq3KT9dKRDYDWbVSt5V6zRait7JsqKyB11IXHb2apC9o5+sr0tKVNTnSmZmcT1pzf0q8d3lK8vMZaTb7eqsNVuzSL+3yN1HWlK3k0o9tBJNZq+ukqB1Fdvg/X331DRQbUQfqqLP/8AErzG2Tm2fJ0m38a/tW9+6p/rX9q3v3VP9a/tW9+6p/rX9q3v3VP9a/tW9+6p/rX9q3v3VP8AWv7Vvfuqf61/at791T/WsGQ7jjk9qU8UKQWgjd5WThE/8mCV2ZlJO4/rU8zNj7Vh61nW+Pqrk8eO4/LJ8WcmqaG2ZcZv8tNqF91JGzhsi1i26AlQ+upAwt3bQc3QJ5p/766zsqssdJs7x4Q+Mzz+uPZTZfW4w+lNizkJ+w7qzMtkKfUG2kdSf+9aYjo6DSAgfV5TEJpxmc+i+bky18zfuqH9Cj2eHDQhhLrTnOcJ3gX1pK06pULin8OSygRUZsjvFWXvk0mW62ltRcWjKnsVbvYVDS2lSJalBSjvFu8TQltNqbSVqRlXv0Nu/KnNoS4trLZKt2qgPxptZ85INIwrD4zDy1M7W7qrUmRieGMmFcBbkZ25R22pLiDmQoZgezvTG346W4acuwdCrlfXp6NDshCkP7tq0bE0l3ZrlLTu5Qq4+zdSJzSXUvIc2gsvS/kCaCQeaKCb0pVqt219VX7aCat5qvBHr78n6JfsrDPo/wAfI9zH+JV7B5QnqoyzmE2SVOh3Nu1NhajhOMt7eFfKFeeyeymsRZSJ+HrFkup6j7DTrKo7rq1psG1JG/11tHIrzbfylNkDvIjSW2WJCekXUXz9t6YdwJfjj0kxxzb9lBybEVFX1nzvq4eCn4z7pOJcMjOF9Lm39VKfs7FWrVXJyAD9RFFUVq7x0LrhuryuIYoyHeVXz6r0uTUP6FHs7wfUguAqy2BtX5qr79fmqvv1+aq+/TUgJyBetqwiM50HWXkH7tStr+dwM0Up45hon8KwmOffPc9SnD1qO+p8ye88YzT6mGI7bhSlOXjpxrHIC3lS0w2OURlum6rHgfrpvEVzZRxZ1rbB/anQkXtbqpCkrKF8sNyk2/vTUlaFFK8iecDrXciTqbH+UVJGM4opSLDYQo6l8zruE8axzCy9KVAbUNjtSUupHt4VPxdvOt/xicilc3RZA0oPSsblqxZScxkJ2gyq7Ba1qwllLxamTpIiLkJ0I7R/CpT0J98J5ofQ45mDgzD+N7Ux8wUy5Ehme9yMjYhwI067mvc5WEDDGXSNo87ISvm9lqw3ueZfcjxEsbR5TZstSRoBesNkQnneRSHxGfjuLKk87coXruqSyorcQy1sUE6ZsqqTy3EZuGd0R3vSitNl+y1YWl1b7uHH88dgjVWnZwoLwbFSqLkIehOqJN+sXqdNnvPGM2+piPHbcKUpCfO0413QYM5Icfbjxi9HdcN1hJSdL9lRZc6XJcfLPiil0gNDhTC5Cy66gqbKzvVY+kDRXQTer9lfXWWiq1BNNuDhST4A9ffk/RL9lYZ9H+PecffWG2mxdSjwpzEG3vyRu+ZxQturlClbNrLnzL0sKy8pVkvbbbM5PtqJ40WlGzSxuUbX7/cx/iVeweUlubjsyB66VEkNKdSi5aKfZTjqt61FRpUd5PKcPc0cYV+FNYxgyuVwkqz5DqWz1Gvyll1DltUBOYU87DgmPGWslO05qUir4niXKHR/cRdf40Y3c9hKWj8vLnXUx2e44pxoZMrnmn1eCnwXSNCEmpaJkx6SlMcKAdXexzV3Ytl9wtx0MllObRu7RJt1VAfkurfeUFZlrNyeca7nmmX3G23XHNolKrBXN41g6H5r7yHG5GdK1khVjp8en4i1tuU3z850kXJ6qh/Qo9nespIUO2vekfdr3pH3a96R92rAWHZWETG0XjsJWHFX3XFZmwn3IfcRIfF/PTTE8I/JUxi2VX41M5BDGJQJLheSgOZVtqO/6qxWVi2UScRRsi21qGkWtakYSITTmROyRP2nNCOsjrtSsMXlbmh1TqbnQnPcUuCcPRCypGZRduXSOA6q7nXUoBREB2xvu0FYkWMNbxFuY8XkPlzKU34KrElzGULRNSHC+0rmoPybfX/CsQwHEI2xZVnyyUruFZlE7qTB9yWH30JyJl7SyOwkb6iN8qDuKxViQh5QsC4KehHDm4QsCu7ubakcB1f6U0k7wkA01iOQckTFU2V3496Hi2G5Fy44KFMuGwdQahOYhETh0GI5ttlnzLcWN31V3RPhXJ0y220sPA63ANHDJWDsSXlJ2ZmLdGQ/rW31hPuc5yxMRvZvRlqy7XtqJicmAjCm4oVoFXcdJ67cKmcghpxGBJdLyUZ8q21Hf9VYzOm5PdGe0W0tIPNbTlskXqHDfTlfbZyqTfjQjykZHdotVgb7z6RzW4V1a1bfpRNqCSazV1a0PVSa5ygPXXviftr3xP20PGJ39ddNP3q6afvVJ56fel+d2Vhn0f496PAYZbWxNdQzmK7Kz3uB6tN9YBhEllqMqQ6XZDTBukJRqB7KebipKyFJUptPnoG8UILezaXkyKiupyqH1U/CbkLeXHu/HWd6CNQKiS/962FH18e93McPylXsFdNP3q6afvV00/erpp+9XTT96umn71dNP3q6afvU5h+I2aQbKZkp1SUnroONLS42dykm472T/eLA/HvNyHGFoYc6CyNDUjlQKm2kDmg2vetlEVnjvWs2vcoHgacah4WyqZ0lOL1CSeqrPSVBH+7RzU95EpTqE5xndXxv1VKn5cnKnioDsGg72qgPWa6afvV00/epPPT96vfE/bSpzKUSAyoF1rNqUbjb20FRJA2nFleix9VXJsKe56egeNTbkD8mH89d3HOGrbHH/wAo1hwK0g2Vx/WNdzJCh747x/UrBNR71K/mqwUCew/HZ65U2I5h9/e0NWXlvprUP6FHs/RJVEcRV+2kpvRUBQHbX1VftrJQFMCZtfE3y7JzLv8A/wBVvl/vBrfL/eDQP5Xv/wDmDX+1/vBr/a/3g0+scqultRH5QeqsM+j/AB72CRfMYS5JWP4J/jWDLV0XGHEJ9e+oMWQEN4fJQfHq4L6qdlnZoxEax3Gjz1L4bt9ByWfGiLdw/wCWsNSrfkJ+0k97udju5tm5IWDlNjuFf7X+8Gv9r/eDX+1/vBr/AGv94NTIBMnkzUdDiRtje5r/AGv94Nf7X+8Gv9r/AHg04zAC4+HsAIVIkLzZlcctER1OuLPSU4r8N3ejQVOFtpttTy7b+oVsCraNqGZC+sUs2BZMbMnssK2+UraUMriBxFYeW2ylhs7l79NamvdbhH2ad5DjrK2219FSk2Bq3DqqKz8lsd5pUva3bBCdm5lr/a/3g1/tf7waA/K/3g1vl/vBpwwWpcic6Q0y3tibqP8Apc03JxWQpT41DUdWUJ9aqXBez7BYynKqx+2nFDldwkn84NSWpW1yoZCxs3Muuau6lhW32cFLRa8cb6tk69dQpcjlG1cBvkeIHSNYHHa5Rs5K3AvM8SdE8Kwtl7a5HkPlWVy3ROlCXG5RtQCPGOlQ+O4g2l9tS9OaFa76h/Qo9n6JEUts7jRVaki9X7Kv21lvRUBRcWNPBHr78n6JfsrDPo/x7xm7McqLey2nHLe9qZlxk5pkFzbtgb1Dzk/WKSmVHDzKxmyuDUf0oPsQEB0biolVvtpOHx0qK5qtkpYGiEecT9VNstizbaQhI7B3u5j/ABKvYPBxL/CNeGjFEZnWtnsnmkjXL1iowiK2iGkm67W30uIiQtMZe9u+nenTVaCNGUftok7zXj7KDSNoEHzjTWHNKC3Er2jlvN7Kis/KWPCT4L3zDU3/AAw/nru5+jY//wATWG+pX8xruZ+kd/krA/opX83x6fiDEINy+ltM6t5PrqH9Cj2fonmHSFHTUV9dW7KJoJpApLaBbwR6+/J+iX7Kwz6P8fI9zH+JV7B4OJf4RryCpcJHjd62x53aKQwkeMWoIAPXTUgO7do81RtbKaxN/jIcS0O9dJsesd4Lto0kq8JPojEPUPbUP6FHs9FltlG1WN54V45gZf1aDjZuk+hyCKLjO+sjiTXMFZ3FVYeEPX35P0S/ZWHx5OIstPIRZSFHUa18LR/tr4Wj/bXwtH+2vhaP9tfC0f7a+Fo/218LR/tr4Wj/AG13NiDMbklElRUEHdoPBxL/AAjXkUT4SQmY0oLycHLfjTjYc/KHLDYnpIPG9YDhqea5IVtVfXT7ezRkyZdd7iq/J2FLHyuFBU17/htf1rLGZS3feeJ8JPojEJL+OF+Je/JtlbS+69Q/oUez0UtSdFHS9X4nvPs+bbN6J3Vu8gPX3yDqDXwfH+5XwfH+5XwfH+5XwfH+5XwfH+5XwfH+5XwfH+5XwfH+5XwfH+5SXG4TCFp1Cko1Hg4l/hGvJbRFmZXy/leumNm4lmLHaShK6QuY67iDqdypBuB9VWSAkdQ8gn0RiHqHtqH9Cj2eilx3FHOfk62rKftrQ3NLfcFlObh2ekh6/iWJf4RrwFsIdSp1AupAOo+Ip9B6m3etfXv4h6h7ah/Qo9nol1Y3pSSKudSe826lhKVEX9Jj1/EnnJhLDMqOhtp5Q5hUOF+9eW+A5bRlOqz9VKah/kMf9U88/XwpUpfvstwrud9hp/X7fiKfQKBhQjZzfMqSTp1WtSlOqzucoczHtzVibs5bi4UVzYMMJWUp7VeusYw1x1b8WMxyxjaG5SjiL0jEcSefViEoFwOpcI2V92UUUSlZ5MV1UdxXXbvYh6h7ah/Qo9nonnJz59MvZxrPHu+1+rvHrFJDg2Sf1tCaAG4ekx6/iSoEtPui8vQRGBmXf8KdTNu1B/2dh1edxv6+qlyp8JiS6rmtpKBncVwFQHVoCXZzhGxQNGieimo8VHQZQED6qW/JdSyyjetVGPhScl9DLdG7tAppo4qHChIBWW3Lk9e6vhJH7Nf/AE18JI/Zr/6a+Ekfs1/9NfCSP2a/+mvhJH7Nf/TXwkj9mv8A6a+Ekfs1/wDTXwkj9mv/AKa+Ekfs1/8ATXwkj9mv/pr4SR+zX/018JI/Zr/6a+Ekfs1/9NAnE02+jX/018KJ/ZL/AKV8KJ/ZL/pSUpxNJUTYeKX/AEq/x5f+Jd/mrHICtHW5Rct1pPGu6LYc5KMN5JcfLNzUJ3MEpaayLv5uXfep0uxCJcxx5N+rd+FPPjuixZgOKKtm1IslPYKlx0d0OMzZCFZdhJUS2o341D+hR7PRJLRzcnWW1/8Af2/ZVxpWfWyRqfSg9fxHI5t2cCPTdgi7lu2s+D7NwnpL3u/Xxp2VJXs2Wxcmhj2JIyoH5lFV5ifleumtsjPsnA6jsUO9YgEdRrlEEJhS084ZRzFHtFNl6Kyl7KM4CRv41+btfcFfm7X3BX5u19wV+btfcFfm7X3BX5u19wV+btfcFfm7X3BX5u19wV+btfcFfm7X3BX5u19wV+btfcFJ/JmvuCvzVn7gr81Z+4K/NmvuD4/sIrezbzFdr31NJffbUl8C21aWUKt9VcnhtBpu9zxJPWTTj6mVoLhzLQ24UpUe0CkMsoDbSBlShO4DvYhyqPh6cPv0mydpa+lQ/oUez0Q4sHxquaj105IeTcyNLH5NXClpHyb1kaTlHpQevyrkHC4vLZDfvi1qyto+umGMXhtstvqyIkMLzJv2+Byt2T7lTt6XIvTUfm0w7irhdwqKSUc3Lt1dvga6DtrYRVCbNPNCUnmJPaabDz7ReyjPZQ38a9+b++K9+b++K9+b++K9+b++K9+b++K9+b++K9+b++K9+b++K9+b++K9+b++K9+b++K9+b++K9+b++KT45v74r39v7wr39v7wr39v7w9C4hN92Zb2ubk63Bk37qh/Qo9nohMdB/JmtLjq4mkoSLJSLAelh6/KSnk9JtpSh67U08E53XgXlW3qNR2cRwGRs3HQEbUjpUe8IiR7mYerT3QyFd/V1VySE45LjtWVMxN03Lh+Smm2WUBtpsZUpHAeAqPIRtGVb03IrlOFKLyUm5iuHW3Yabd9zsmdIOUqVp2V+YD76q/MB99VfmA++qvzAffVX5gPvqr8wH31V+YD76q/MB99VfmA++qvzAffVX5gPvqr8wH31V+YD76qAMAW+eqvg5P31f1r4OT99X9aSoYeApJuOer+voXEMQaU9ym+bV64uT1VD+hR7PQ5Qg2ed5o7Os1tVjxz2vqHD0uPX5RxpfQWkpPqNch5AcQjJJ2TzS9bdRFYdNmMoYjMKKtgFhWT19Z7/8A4fw2xkPD8pdtcMt/1oSsPxVWEOtixU6q7bp7RTokxcob3SmwQ256r+DnlO889BlOq1+oU04tGzUtIUUX3eWT6In4m0ZHKb5+c5zbk9VQ/oUez0KpplWRCdLjeazB1SuxZvTC16xcgX6h1emB6/iDUOEnbYrK5rLfV+sa9xYLSPdaTz3sQmmyVqPyeuhKxiQvFpf/AJvvafUmglICUjcB4C2m5DkVSv71q2YfbRmLdVOYzZlSE6rHaRSHUd0s9SHAFA33g1/aSf8AbX9pJ/21/aSf9tf2kn/bX9pJ/wBtf2kn/bX9pJ/21/aSf9tf2kn/AG1/aSf9tf2kn/bX9pJ/21/aSf8AbQA7pcQT23r+1WJfbX9qsS+2kqPdRiKgDexO/wBC4guXOiOYbm96Qjn5b6cKh/Qo9noVxtW8Gtm84VPf7tsXIpEZ1bkRz5byeb9ooKSQpJ1BHH0uPX5cvrG0dUcjTQ3rV1U5ieJHaYtK1X/5SfkithLbzDzVjpIPYal4LLkcsRHbS40+rp5TwPhhKQEpG4DyyfjV1EAdZrLy6Pm6tqKCkkKSeI8piDKJTC3dBkDgvv6qh/Qo9noWXNyAvtps2e003iEpIkTJHjMzmuWlNPspzW5rgHOTU/B5Ks6oK+YT8n/v2+lx6/LoLjaVlBzJKh0T38S/wjXxVPxkRVS2UyTuaK9ab928QW+pxXioratm39nHSre5Ub7tF3BpTkF3/dLOdlXrT/Shffxt5OfNZgttyultBvveof0KPZ6FVhUcZ3lWWQOvgKahuKDUyMNmptehNqW/IdSlKeF9VVieMvoyCY54oHq9Lj1/EHYz232jZscrRIr/AGj9iamTyH+Tux0NpOyN7iv9o/YmkRY+22qgSM7ZA0F/iY+MzcJxGKfdFxxxanlN6rF9FJXWBwJqV8tiurBcKdHEZDZYPlsQ9Q9tQ/oUez0I5Ic3IH207icjWx5vzqMrnw5Z3us8fWKS7NlP4jl3Jc0FJbbSENpFglO4el1D4hvNHKcLy8L5634V/wA9NcpOHcnzc/Z581uyt5+JqV1fGs8XLyl1xLTZXuBJ31h+BtYkpp0MF+VKQgZjwGnrqUzLXtpEKSuMp0C2e3HymISnsfdkRb35KWABa+696h/Qo9noRrDY2qUq1+d/pTbDfRQLeFdRCR1n0r+qd3xBpDrz7IbJI2C8t6/PsQ/b0plp155JVmu8rMfidhQHHj8acjPKLaTzg4k6oI3GsUcR3QtzMWUzrKKRlaQP4UEIf5Wt1Reckf7xR4+UxD1D21D+hR7PQbjgPjDzUeulTnNXHdE36vCU44oIQkXKjwoQIAKYgOquvtNMsFxTxbTbOvefSllVzecK6BroGuga6BroGuga6BroGuga6BroGuga6BroGuga6BroGuga6BroGuga6BroGuga6BroGuga6BroGuga6BroGuga6Bro29dXOqvjZGZSGFOoS+pPBF9a2DDDCYS8KVdKQMihtBU9po5obU1xEY3v4v8A7v4etXGtAFQBO4d/EPUPbUP6FHs9BhpB/JWuPZxNJQgZUpFgPBU44oIQkXKjwoQIAKYgOquvtNBlkXPnrO9R/TVTkxvaRFEId0vYHS57K5e8+4zFy3FpBykdQ7OyrxIaoUNCihlKk2zJ6/DnKirYagJZutWu0PXamJStQzECz9SaTPxJx5yfLG02ocI2d92Wi3KVtJMV1UdxfXbvYh6h7ah/Qo9noLYNnxz2mnAUFLHjnecrs6h4KnHFBCEi5UeFCBh4KYgOquv9Y0GWRr56zvUf02dZX3O4k6jVB8UCFD7a26+57E5OHoHiIzwvsT2Ddai6YT8DKrLspCbHw8W/w6vZQjJ6TsHIPrRUNwuJQGW8jmY9DLvvUyZayZktx9Pq3fhT8gY/iDIdWVbNCtE9lSmEY3isp9CsuykIOzJvUP6FHs9ArecNkIFzTk18eJQd3sHgqccUEISLlR4UIEAFMNJ1UeP6xoMMDXz3DvUf03ebGJIEtTuZD2y0Sj5Nq2P/AItgbX5GVF6KcQlpmPZrhaU5dPDdjSEbRl1OVaesUhlpOVtAypHUKW+5GIU4buJQspSs9opDbaQhtAslKdwHexAS2oAwy/SbvtMt9ONQ/oUez0C1hkfnG/Pt19VNsI4bz1nwFOOKCEJFyo8KECACmGk6qPH9Y0GGBr57h3qP6cLDalNtqcQl5xO9Ld9aCBh7Bby9Pjb51Smtop6KxKcajOKN8zY3a/b5TEJ3uzNf52bk63bo37rVD+hR7PQCnf7w6IHbSsRkarX0L+3wFOOKCEJFyo8KGHwAUxAdVdfaaDDA13rcO9R/Tl8T5Co0UarWhVqiOF7EnESvemGlErI9VNvw5kzYK0ttSLdlqCerTyeITmE/ll819uTrfqvUP6FHs+P3OgpLaL8lb9n+tBKRZI0A76nHFBCEi5UaECACmIDqrr7TQZZGvnrO9R/Q0bR1Dd/lKtWVDzaj1BQ7+TMM+/LfX0Tdpsv7F1Dqmh56Qdak44pp1rDYEXZoLjZBzE62H8Kny1NqaamTHH2kKFiEHyk/EWg9ym+fnOki5PVUP6FHs+O5rXWdEis23UPVT7CT44C+nnJ4igFe/r1Wfw76nHFBCEi5UeFCBABTDB1V1/rGgyyNfPWd6j6aLSXUKcG9IOvl9SB666aftrpp+2umn7a0rueYlNJeZWHcyFcejUyTHYRBfabKm3WlEHNwFYdMxDMuQ82kJbQLrdV2CmY07D5OGKfNmlSBzVnqv10tHJ1ifya5fvzcnVTq4uFTJsNolKpLSRl032pnEQVPNP2Sylsc5xR80DrpmJNw6Vhq3/eVPgZV9lcijxXsRm5cymY46A6yafbLTsWWxq5GeFljtoqg4XMmKSSHEtgcz66EmPmSMxQpCxZSFDgfQRGIYeqWxwlQhfT9ZPCilRfv8gxl/wBKy4Zh6ozR/wBrmjKB6k7zQvqfJ4guVOhrw+/vaEELtfSof0KPZ8czOuJbT1qNqaUw+27l0IQq/eSobkAk99TjighCRcqPChAgAphpOpPH9Y0GGBr57h3qPpt5w9J3Pp5dpnb7DIvPfLm4V8In9j/rXwif2P8ArXwif2P+tMRs2fZJy5rWvXc9HdzbNYdvlNj5tJUtp1/LqEuuqUK7nXnrJhpUtA+SlRGlQ46dZTspvYpG+999PbTUDDxmoy+57GEnD1FS0xZjXNT1i+8VhJlXwp5yRaOuOnmpdB3jsrDkT34+Lxn3w0lRbyvJJ413Qsv6SluhxF+LdtKvH12EJQkEdvRpduMlz21jv/qT3t9B3tr5XEGG5sdb2g2aXQVb+qof0KPZ8bekL6Lab0Zs9xSgeg2NwFXj3adG7WhFdbdL6TzlJta1ZGk2Ht7ynHFBCEi5UeFCBABTDSdVHj+saDDA189w71H0Ns1yGkL+SVi/xVZG+1NKP/mXP1H4pGmOtZpEa+yXmPNv3lR5TSXmVb0qrbx4/jtwW4orKfVejP2f5WUbPPmPR9VKdVEylZupKHFJSr6r0IL0VCoqei3a1vVQkMR7vjorcWV5fVekGWxmcR0XEkpUPrFKZhsBpCulxKvWa2ERvZNZiq1ydT66f5M3s9u4XnOcTdR3n0Ep9tvavqUG2kHcVGnoMnEm3HXIKnm8jICGl5wB66d5ShKJcZ1Ud4I3Zh1eUxCezCSiXfNtMx3k+uof0KPZ8blpQLqy3t9dM5fNGUirndWIyU+9HmjvKccUEISLlR4UIEAFMQHVXX2mgwwNd61neo+hhhcNwtKy5nnEnXXzaTLLzbKljMlty9/r6q9y3W3nmM+zdatm2R6/ijnzTS2mVqawlhXj5CNNofkigkbgLfE4UcR0utPDMtXFIvQINweNSsOSwkR20rUh4HVWVQHfJ6hUec42GlOX5qd2/vQMNDaSiShSiviLd5azqEi9MTmkqQ27ewVv327/ACtttLqtqhGVXabUKewrDobD6m2g6S6sp0/7NNLxjDG2oi1BBfjuZsnrq43d6aiTGDLLawGFg++Dr+Mrjpc2LwIW058lQ3UmacNjOPCNyXOHvFnnXvTnKHA7LkOqffUndnPlMQ9Q9tQ/oUez4qAj3xe7srMXVX671sHTmUBdKvAsdRS5sGRsWydWVfhWZx8Mxb2JA6VIjsCyE/aT10pxxQQhIuVGhAgApiA6q6+00GWRr56zvUfQ80ObjJyfVupPqokJAJ3m2/4o3DhyExmXF2kr87Z/q1F7k+51fJG2z+USkeYOodtJFyqw3nj5ZDq2y4FKy2Br81c+8K/NXPvCvzVz7wpp8DKFpvY1hsVfRehyEfamnXl/nsQGIU/+YOaPwqFFOim8Juv52cE/xp7E8QkSA0p1SI7DLpQG0pNuHGu6CK+4ZbmGpzsuL6SkndekYiMQlHF1tbXbFw5LkXtl3WrBS0tTd5iRzTwzKpxTa1Nq2iNUm3GsB/w66me7WMLWoK8REiuKGyT2gcaxiE7IkLjsO+JcUcrmXeAfspeKsqWqQ8mwStV0pOcpFh9dF/3fkqxcJzbfaLtn+butXc/GQ6Yr+JL2bzqNCMvSt66QqHIfLCpDYeaecK787Qi+6h6qmuRYS56zDA2aFAWFxrTeHqws4dFUsKedecBOXspnA0PuR4TLG1fLRspfUm9YY3GkPOYfOc2C2XnM+VXBQJruw2BLr7bg2CFHS+SkKcxiZh+Pn+8lLUkZ/VutWFokre9zVfnjsIG5NtPUKKsIxcvwdn42G8srWlXWL7qlYhPkPiOHlNR2GXSgICdL6V3TYS9IW8qJGU4w+Tz8hTx9VM4hKnyjO5PnbWh0hKNNNKgyH1ZnVIspXXY2v8SOydLCXHUNuOp3oSTrXuWM5hkb9oc2+981S2FvKktxZS2GnlalaBu8piEpzHZUhi9+TLHNtfdUP6FHs+KtvDcnQ97a+YgWv4BJNgONJYZuIrfHs66Q02MqECwFKccUEISLlR4UIEAFMMHVXX+saDLA189Z3qPogzEg7GUAoK6lDf8A1ptUta2ZKU89sIJueytixGDsN42DR3tp+Vf4oljCUAOvKyLkE+8p66jsN62JzLO9Rtv8vZxCVj9YXr83a+4K/N2vuCvzdr7gqwFgOArCpyEXissuJWu+4ndWZKR7juvIlua/3iQdLdtDENn+SciLOe/nZgakRYkD3SgLcLjJS5lU3fzT/WsWVihTyvE+mlGobHBNJwrkDZdSnZJnbTmZflW/Co0BKUonRntshCjoqyjRY9zUwkoUlRCnQS4b7h2VhMxLd47DKkuKvuNTWWsKRP2zynUS9oBv+VWMsTGgeVHaiSg8wm261PYDOjckU0LNvZrhZzFV/ZXJfcRjleXLyrOnZ/O/0rDnGXkvYrAVtUrUMocPnDsvSWPc1MJttxK1JU4CXCDwoVLxBTf5IuJs0rv51x3mMZwxtMh1LeyejKVl2iesHrqFMxCKIESEc7bJXmUtfX2V3TKQrki5iwYzwIPm76OHSsDadkqb2ZlrcTl+f6+NYX7nq5czGZ2L8VSgnafrCo2KPYcjCWo6CLBQzuk9duFSmYcH3Rw95wut5XMqmyd4NY9IlJQcUxFpSUsoOjYy2Cb0zEWmz6Y2zKb8ctRI0lGR5AOZN78T8SfOIZOR5fGbTdasiMWxZMb/AHKQ5b2UkYUkpiNHJYoKdfr8piHqHtqH9Cj2fFbEXFZshHYDpQQhISkcB4Aw2NznF9PL7KCN7ytVqpTjighCRcqPChAgAphpOpPH9Y0GGBr57h3qPolUeUyl5lW9KqzJcktp+SFj+lKTDZylXScVqpXxRz5ppj534foCVrUkIadQ4ULNgux3UgpmNNi3RUmxFF2E6l5oHLdHX4dwbjs7wBUATuHfxD1D21D+hR7PjVxq+vRCfxr3Rk6ur1Rf20pxxQQhIuVHhQgQAUw0nVR4/rGgwwNd63DvUfIPNxn+TPqTZD2XNlPXamIC8bVKCglRVsEJ3n1el3Pmmot+Lif0BcfmtB9lNvFlObMeAtS2f/B52qE51IyJuB17qckGGzCZcdJZbZt0O23Hf4Tvuc7GZY2Si4pwHP8AVwrDT1t/jUmSdzLal/YKRPxMLfxCWNqX85ujqy+qlNSl7SREdVHWs7zb/TvYh6h7ah/Qo9nxYoSNosb+ytpIRsEno63zVlbc53UaW+6cqE0qW+n8mbPR9iaUtaghtAuSeFDD4F0xAdT1/rGgwwNd61neo+SjOZo+ezYy5lbXf1brel3PmmoR/XR7f0BtFSFyGXEvIQfOsd1RMbcw2RsnopjvMtjOto5rjdUx6QyqMmTKcfaYXvQg8PCl/Qr9lYX9FWJxIzqXVlpbSgk7jaojinEt7BvI7mNshTprUyZlypmS3H0+rd+FPyPdnEmtqoqyIcFh6qlMNYjjT8hCsuWSBsib8ah/Qo9nxVRG+1IC9QTc0pauNAg2I41CipVZst51dnAmsos0y2LlR9tJw+BdMQHU9faaDLI189Z3qPk2XdpE5NnbGTKNve/X1el3Pmmo6uop/QF0ycVYZkLkWakFm6UpJ0TavhuH+7UU4lKblv5tFtIyi3hKQsXSoWIpuNGbDTLYslA4U+qMylpT6s7hHnGlSHYnPWbrCVEJX6xSW20hCEiwSOHexAyhB9zc392PGZb6VD+hR7PixmdJN+a321tWvGMq3EcOw0EpSQPlHcKLiiEhKLKWrqFCBABTDB1V1/rGgyyNfPcO9R8ozLKh7q7RtITn1yX6vS7nzTTXqpKusX/QB2KxsM67fnCSU/w40lv3Wgryi2ZbRJpxOISo8qQlwjNHFgOz1+UxCaMXlvHNm5Ot66N+61Q/oUez4scupSc1quhRQeygt507BnnrUo6AUMPgXREB1J4/rGtizqo6rcO9R8q1O2COWbdpG286193pdz5ppj5hFRVf+WPLKefcDTSd6lUh5lYcbVuUn0jaM5sXHnUM7UeYCd9OYccaxPLyUPoXyk781j+FTGBnVJalLbkuLXmzuDzr+q3lJ+IMRcku+fPnO8mof0KPZ8WLqtVnRCes07MxFpptgahzok0MNwtvZQknU7r/AKyqDTIus9Nw71HyrzkVnlEhKboavbMaYwnEsLTAcLjbujubj8QzuKt1dtHIoOW12ZRlNuzWgobjr6Fc+aajq/Xt/Ckp4tKKfx8tFig2S4SpXbaltE6tOEfUf+z6RfgKkoXc5FNKOVQIPCofJ8RlR5cZJQmUVZlqSeCuuiwhxby1rLjjrnSWo8fKYhiLapHKL5+c6SnU9VQ/oUez4qt505UJpyVKVsYLO8k6JHVSMMw1GSEj6rjrNBlrVR1W5xUfLxpGzd2eVsZ8nM39fxBO0RIQhOgVlsKYCDnTcLCx1UEjcPQrgG+1OJDKkqSM4uOqg9lUtlWi0jrpaWQsFIucw8rAi/q7vWaxKPx0/gT/AF9IlT8NG1P963zVfaK/I+6RKkjdDl+M+oW3VyiVEMRzNlykEX7dfKYg7JxVh6Bf3hLABtfTWof0KPZ8UUtZypTqSa2aFbGCzzitW4D5RpvCcKQUQkf836yqDTQus9Nzio/EGHuRSc/ixyrP4rfut1+XDbb6GVK3lR1pO08Y2vhe6Vitne/ONvV6GW5GfXHd2zYztmx30hf/AInxLnJB3ilo/wDEE7Ko5iNNTR2PdDiDd/k2r+0+J/aK/tPif2iv7T4n9orBsPT3RYgpE4uZllWqcoBr+0+J/aK/tPif2iv7T4n9or+0+J/aK/tPif2iv7T4n9orFsNfxGRPaYZQUl89feip+QUfw1rEWt2baAD/ADX9IrOKYupqOVG0eJzdOFzV48RG04uuc5Z+s+VxCO3MZW/oNmF676h/Qo9nxHnrSn1mrpNx2d4w4ywmMnprvoe31UnCsLSeTXutw6Z/1ldnZQaa1Wem5xUfiLUsTlCHtWkmJbS99/lgXDa5sKcan4gOVk6oQCQn1muaraNizqE3uPWDxHofk0xrbM5grLfiKCRoBoPCiy3Ws8iLfZL+Tff4b89DWWU+Alxy+8DvOdSSf5KI4LJ/i36fnzWIDbcrpbQXvcmof0KPZ8QW4OluFFSzmUeJpAB8Wo2KaVCjL0/vXB7KECCOaemv8T2UGmRdZ6bh3qPxJnEuWPZQ623ya/i9+/yyFrfS0WyQjMdFKqQiSCHws582+9OvPA7IuEMX6tM3sH2d7EMNw3Eiy80oNuuti9usCmYyVrcDSAjM4bqPr9CSIGDR2XOS22z8gkJCvk1JjSmOS4hFVldbBuD1EeDJVhESNyNhwt7SSo3cI32tUuVKb5I5DKkyG73ykdVe6qcNY9z7bTYlzxxR8rq3UxKYN2nUhafCbQ2kLeXrZXAU/JUOkhS6gL+WW/bb0/iHqHtqH9Cj2eVuTYDjVhmV2gVnaVmFLbHS3iilQsRwNGQ6cjDPOUo+ylMxU++KzE9Q7aDLIus9Nzio/EnpT5KWWk5lEC+lNRIby1vcobVZTZGl/KuPPqshtBcV2CtrLwkqjgZE5ZCgtI7OH8K5PiDTOKxBGS/FmOt2cy3sEq67btaShtCW0J0CUiwFRoEfDyqHk2j8tzRIHUntotQ2ER2yoqKUDifQuMKV76Zq81Tsu4wEFXrzeBrupCcA5ExdRJzJ5n1W43ruihuoUjFGnkqlKKr58yhqOy1IT/dbG31WqNm+W5b1ZzbwgOCAK2qhzFXQq1YXNTcJt536qvT+ITHcfkyI983JFDm2vu31D+hR7PKtoG5Z17yUjor0I72TZtuyj8odAdtNxGyVIHADKlPbpQaaF1npucVH4pGd5uXI2OkL7+ryqoaVBqJLU7EVLX5riMpT/lv7b0GU4e6u+55OrR7c+6osRVlPIRz1jiakw8GxVDDjboakOIFyBxAplgLW5s0hOdw3UbcT6GlzMHSxIZmHO6w+opyr6wal4hiC0OYhLIzBvotpG5I8ApO46UuHBbiToWYlpTyylSAeBrFDibiXZeJ+/FvcgWsAPVXuQkwyxk2ImknNk3dHrqPDa1QyjLc8fCclqcCkuXIHVpTznAKFYQ/1FaT/AN/VTDny0BX8PT2Ieoe2of0KPZ5XKNFjVJrKWV37BW3eFleamjYgyFDmjq7a2LN1qUbqWfaaDTQus9Nzio/FWPymJtbt/k+w8dv357buzykh8MqeZQ4WWlA+/LHSt2DTXtqThvI3m+VKzoZceulS/wBU25qv4U1iDqJO1BzNsSHUrDfbzdL17kNwFuRg3eRJXokX3AddCLCZDDIN7Dj6Wv1JVTv66rUqKre2+HE/YQfwqAr/AMoJ+zT0xdRCR1mrg3HWO9qbcNe/iHqHtqH9Cj2eVyl4XoKQQpJ4is55zqugmtm3dalm6lHcO2g00LrPTc4qPxZke57Jh7Rv8t88G/R8nIfUy6+AnoMi6j6qjIw2JsHMMK0KhBWZZQbHP2m97/VUUpYcaZZdStx1SbBNjeks4FiDLKdts5DyOkgDfl7aSkqKyBYqO8+l/qIqMr5Tjn/401It4t4EE9SqQ2d7S1I/jf8AH0xNjSlKVh0BCUhlJsFrO+9DC2VL5BMZLrbSjfZqTvt3sGMx2PyI4i3s22L36Wl/q7+Ieoe2of0KPZ5RDaTbPv7zg3oyk5e2siLqKvsSKDTIus9Nzio/F2bbD3K2rd/95nv5KRI6WyQVWrbcrWlfUncPqrCMSwtksz3ipuS61zUgi3PvUjAtlIkJbYyPyySANLAes0mJDb2bQ+0nrPphodaqw3tzn+NIjKaz50kg33G9ONLBU26cySnrpLqQQFdfpfGormipIS+3fzuuogb5wgxV7UjgVbqcDD7bxbOVYQq+U9Rruf8A/Umu88/7tYq1tFFWRuRZKfVUuO1ieNyJCFZckpRLR141D+hR7PKDJ74jUdtZVJKVdRpTDY/LH05UJ+Sk71nsoMsi6z03DvUfi5WtQQkbyaaS1JadVylvRCwePkdoU7RxRshHXSEz2AG1m2ZsniLa0Yzc7LZRBQtpWZP4fXemncGl7JpeVDK1p97QFErX+sVW9ldvpmE1xJJrD0dSVfhUX5p9tOReCjdN6TEmgpCdEuf1oLbWlxJ4pN/SyOWMbRSOisEpUn6xRahMBoKN1HeVes0+qO0GlPqzuWPSNMGQ0HCw4HW/1VDj38Q5WrDvc2+5rNtMt9Oyof0KPZ5LPvUdEis21t2CnlSOk0nPdPEUWoLrjKVHck6IFZQS68vVx5fSWfjDsWQjaMOjKtN7XFRo0BnYM5UKy5irW/b5AqUQlI1JNKSl1qS6g+IacJQg6a60mLOiIjKz5doyMqkHtHGpBEU4fhbYW2tNkpdkrOlz1AU1HZQG2m0hCUjgB6Mkx4/PQwNXOs+WZafkxWWUDTO6BYb9aYQMTgXRmv8AlA40wkYnAugG/wCUDrpiRGxCEp9lFlJS+Lq14UxFkmM0EJtyhSsv8azxMbhg24SQDXPmRnAP10Gv9lX6l/617y0fUuveG/v0pMgtw0gaKccGtfCUX9smvhKL+2TXwlF/bJpLjSw42oXSpJuCPSeIS0YxJeezZuTqkAp37rVD+hR7PJMr80Gx7zjaNLtLF/WLUGmhdZ6bnFR+NMSNhL2V2xtc42G/qte/kJcSG5tHWrKdCfk8fwoW1J3Wpl56zSEoQVm+qlAVlQhKLnMcotqd57ygkjMP4UciVKUnXm253ZT6RISFZszaVN2IHV/3rThupaAi9tna57P6Gm0qkcjZvZQU0nedE8dxN/sqSlrchKdk6pIs4beumgXUxmUAFbhQDtD1dlKy85vgoCkLQ4tOUc9tLSTc06lckvrT8pCQfqtXNSHEHttakIdU4h2+tkpP1UcrobN+qs6yos7Tm5GypStDpbhqN9EPO7cHzsgFtB/r8Z1NqsDfvLU3JDDO5QA5yz1U/t2yjatJWjtHlsXE6IiS0mM2U7ROl6+CY33K+CY33K+CY33K+CY33a+CY33K+CY33KxJUzDWnFInuoRtEbkaWFfBMb7tfBMb7tfBMb7tfBMb7lfBMb7lYg7HwthD6WiUFCNQawkEWPJkez0niGIMNkTL577UnUnqqH9Cj2eRJOgFKbSztW/1uNeK2gXf3q43eusrY9Z6/jbPOk+6OZuw12OW/t8NxKDZZSQk9tEgqYkNmxvUaU5HjR3nFKJytc9SbaWH40qapN50hI2rhO/vnTfW0ZeQG0gqVxv1VmJQ7JWnPmSNFH1b9KWVHM2Gz0PtP17qvtWigKVbz1X/ANL1crb2vmshVuaKDnK4hdUvxYWCUj6uPVSHcxXslZfFjKB2Dspl9t3VSwshTnN37rVlaCG0aqKwR0hw9utGzo2aukjNu66W46W9VFsZSekN1u2gjKEqUq2Ur300Au2d1ATlF8vVSDnWpNl3zHrNx8YJohq6UVzyaSgm9QMKQfFo8a9QSm1hoPLWzJzeFYKBPYa6hXNIPq8HQhXqrUhI7auNfSWIYi1t+UXz850lNyeqof0KPZ5FVuJAPeZKd+YfHGcO5M9mLrbnKMvi9+6/hDMQL6a0tEYISwg2GbertoOw24gxBl1IUJSbpKaDr2Tli/fXGhv7BfhVu+CL6HcONZURsyXbJUE6aU2hDDqG0KJS4HAUqsdL2p1arFKrEZuuozcuIpDy1KNmnhZKjbW/+SmlPZn30AL3gXO69IDeH7V2yjkUpPMtuPZXPb1I1C6ADKcyedzLZc1LDjSRZAUk6a34ijlQ2N2tq2hasylRKUi2p+VQCm0ZSrMR5wpPJC4kAAhtAGZAtrvqOhSV7hqs68fi5JpSCb2rhV0ClyHNG2xmNTMWc99krsn5tc80LHf5R5yOrLIcIabV1KVS5cTat4uy3tOV7Q51KGutQ5nF1sKPr8BEWCot7VwB5xKspCONqYcwVWwxgPIShDThUp3XXMKiYM4tQhtsGTIQhVs+tgDWFnD7sQZiiw8xmJTfgRfj4EfC5MrkuHNs8qlHNlzC9kpv66Yf7nZqGEIBEiIFK8YOux9tYqcQu/BhL5O1HzEJzcTUvBkLUYK2g/HQs3ydYHZ6SxB6RjDb0C9+ThkA2voL1D+hR7PIqbX0VV4uzqeu9qDz9sw3JHxxv/FNe3wWWWWTIlvdBsUzt5UZmbGXnbaQ7dCldR4fxpaYeVdz7ypYStvsIPtqQL53dplWq2lxwHXbwdDm1y83XWgVbReoN03KgrgRYGrrDcZOUt2z3z68SQDTMZxBUlKrhCk3By9d6RMU2wjKVLItbW1r3t2fxP1oJDaY5RYtN9AKvv3a0Hm0pedTzVKXxIFtbaVlQxktodLHfp21dSeic4Kd96GYZW0DedVX0O/q0/7tVhbnaKUka2pAyqeQk3AU5VyCSo62OiaK1KWVE3J06rUhZKXVBCUpXbgL29p+LrCd5pTgvvrnXoJUajQWPfpigP8ALTMVHRaTlolApCtbA02vrHk1uJBVyd1D5A6kmn5wcSptbHMsekSNwrDo69FJaF/b4ELat3ZkO7JTt7BvtNSMUbAi4iDnafaVZSl1h0mZ4tU7Dg0SrTxo1IrAIDZzOpeMhYHmpA3+BBdmpSWXY1mtp0S4L/1rufVFShM8vG+Qalu2t67oILhyurkcpQDxSRUl1o5m4cYNqUN2Y8PSWIR250Zx/QbJLySrf1VD+hR7PQzzLL5jOrTZLyRcp7aj4VKxZ7EWDs3fGC2t/AKibAbzSn1yeTOlktI0zHXzhSXm3ESIxOXaN8D1EcKivPxrO7AePJ1IubJ+y38PDIaS2V2vzlGw+vLQcWyVOjKNqpITcnSlFITtNbC+lNIktbXNnynp6k/w0Pt+sNJjx0k5vF65QR/l11ptR2DjCcq3TzkqHzR/Wnkhota6kosFU2hhAOZWZVlqVwvv4a0cqUpAJBvfmn8abaCE7LdobWFZXEpUtKbpXnzE/wAKCyhrN5vjFa9elIcdiiREKRmsogAgnenX9XcKU3sm2wknRDmbXt07b/F853CtbVdFqzoG6kTHrqW0jKhB4Uc1WXari16CeryZSoZknQg0JCYYzA5gkqJQD83d4K48lpLzKt6VCg83EzLSbjarUsD6jWwmMh5u9xfeD2UpUNjItWhWpRUr7T4GxmMpeRvF94PYaU5Ej5XSLZ1qKlW9ZpBmMZ1p0C0qKVfaK2ENkMt7zbj6/SWITGYDLcnpbUJ1veof0KPZ6HjquztLN6ZlbTf1bvA2T4Lq3B72nqp1augsBTZ4ZLaWqTtG9pFyi4UNM19PD0FuNOB3nAbwUm269PPoshtVilwIseju7bUnItnOkhL92lAnqy/bWzddir1CVlKFlXHT+O+o76FI2vTLiEXzc0fZpalSBdLNtAEm32UVKSEj9Xj11z1JbtrzBvSOyku7ZvYLsE3v/wB/bTrtkDPdRc/rQNmVMBOilC9jV2sg10PSFqs40Fc66FMjNxP+n202ptxtQVzugBzey31fF3EcbUoa2BoBZqyrVpaiUCubekNa6mkg7+9rXOdSK5qwa072Z91LQ/WPxJyOzIQt5vpJHpTEPUPbUP6FHs9Dsv8AKI3Js7Y2OUba999+rvoCUbWQvop4DtNN4klOZtxASvLrs1DeK2MhpLuHoH98i+U/q0G2W0tIHmpHkEpSpNzYFK7kWvS203VlOVVhupKiOpH20nKkZnR546Btx/gKcDQCsgObIbWNtKz2fcS2R0EklR/Gi8ErSkDPYi1B10hrzt+4UplOpSL7tN5H4UpLmbJbUgULKaIX56lcPxrxSW1AaFN7a0qQcma2uvSAF9KC9lkGUZdesfF7Ubp30SgVperLvQC64VtQnvXcUBRyrorStVBDhP10Ck60t0SuSL805cxV2CkPTtovZJ23jf4fEZbyTlXlypPadKw3E7nI4skfUbGkqG4i/pOfNXjkqQ1fNyZQ5u/dvqH9Cj2eh2Xbte7G0aFs3PyX6u9JRBW2rEimzTalgG9IhySsY1DzJdZfNlrSVFVx9tJdWlyNGHTzaZ+y1WAsOzyCl5SevKNTSTzwi2qbA2/W/CtjJaUE65Ft9DTcaeSlm/BJzDWkA85Nue430lE8PVonWk5Y6xmskqA527fakXjlSm0EpUV6k33Uu4OVW7TQHqvQtk3ap4HSi8M6Cf7sEFIV/wBgUh3KpK0jzdT6u2ktqC4m7cU7+Gn40tBQgtJV0jvzf98azSdi9s3Sofq7rfXSwNDvVpzb8bH4xY1qM6K5wsaJRXigaC5C/qqwq9Z7mwoIWatpeszYoyZZskdFPFR6qTieK6ND3iLwtSlpSAtVrn4jEY+W5m+wf61BsnnR8l/rGv8AGoa95CMh9Y09J4h6h7ah/Qo9nodqbsEcq27SNrbW16fW0LuJQSkdtqUtZzqVqSeNQZk15xssXbJQOc6kHTXsptlsZW0DKB5EXF7a0srVtVqFipQFbJzbjMcyXMibIHyTanW7Obs18yLp6h9dbR1D8fZZXCrZpOdeo3JPaaVsUht3J07cKbZbkyHOamzxCdKQS6+Lg9Wh+ytmCQVWy5UpFNrWVJSAL5Rzc1tfx/rV8xbyg36r8eFK2aEs5DfNk6fVc0SpSJB83MjLr13p5DRS8S3ZCDa4PAHTo06dmWsx6Olt3C3xro97d32+0120VoFBCq5VL3eanio9Qr3VxFGVoe8RuFq5+gvSSDr8Rw2FvHNH3lf6VNa/8sn7NaeZP905u9foy6FpWOtJv3rrUEDrUbd4ZiE3Nte/iHqHtqH9Cj2ehnlxWg/ICeY2o2CjTcR7BGWEbVLhWiQDuPrqKzhT7cVKnPHvq1UlPYKLpQpN9SlCrA0lttIQhIsEj0ukp82ghZrheg7l0vXKsScS421oywN1WorQKQwqh5exWAfXQ4oaPsT/AFopOoOlYhCVv/ofReGYJnUiM7mekZDYqSNwrDJ+HAsMuvpjPtBXNWFbj3sUlYgC/GjOcnjtX5o6z66xDBEqUqKGxJjhZvkBNiKwZUx9nkZxFsNtMi3naE/V38Q9Q9tQ/oUez0RguHYbOEHlYdzLLYXutX9pm/3MVKcdxjkqmnFIShcUeMA41ElcuXtXntmpjkou2L9I062JLiwh/YhYjDnD5fqovSS8wyLXWthIA/hSVf8AiZvUX/NBT8I4zlZbbCxKMQZVHqrE2/dQlMRGZtfJU+P7BTBEpxe0jF8gRhzVfI9dH39SQAc3J09XqqNiKe6BDAezeLMVJtZRH4VCbaxnlQfcyLWiIPFDrNRIacZ2rLwJVJEROVun1CYtZbkhgJEZPPT8v1VzS+5z1J0jDhx3VPYcxbkDsTJmQ5GSTzr/ANKfktY6JjjYuGG4gurWky28Y5U6cv5OiKLi/wDSnmUYkp5CI23DgipspXyPXQUFPqOUKyiMnjwqJhkmYuAuTmyqdjp4An8K/tM3+5inpLmL8lcQVgMLiC6rf1rD5PugraSXAhbPJRdkdZpwJkuuZXlNAiMnUDzvrpLssvMs5gCpbCQPZQ+PWVxorQKCFmuF6KkXtQQs1Y2vSHANPLpbbTtJCuHVRckt2J4ZbVLkuW5yFFOvWaKFPJCwbWq+5D6t/wA4f19F4PNdOVh5tcYrO5Kt4rBsNaUFvuzEO2SdyU76ETbJ5SU59lfW3XWN4c6oIdTI2qQrzkq41icxo52I8ZMbON2a967n/wD1JrvPSDiU9BdUVZUPWArI5iOIOIO9Knrim2k9FtISL+iIGILUoPQ8+QDcc3guwZClJacKSSjfob/hSU9Qt4C0HcoWpiAwVKaZvYr36kn8fBxGc2pRdnFBcB3DKNLfb4MHFVqXt4iVJQBu1BH4+DySQpSW8wXzN+lW+Pab6Lbg51FaBQQs1wvRWgUGzekuqGvl3ZbyS6hBJCfZUl3hkzW+qlykSEoeaXZKSbE1aXdLmbnKP41huIN2I3XHYb026Ny0hXopUeWyl9lXmqpTsWOEukW2ijdVqE7Yp5WEZNrxy9VJclxwt1OgcBsqhHiMpYaHmppgyGQ6WXA63fzVDj+k20b0XRQ4myqK0Cghd61rbrHqqw3eWKTuOlPIZGVPrpQ4rCB/CmgoWKud9tPA6HPbMK2DpU5DvmSpOoH9KZiSHkoeb5ozaAjh6UxJbS1NrGzspJsffE1HeVieK5nG0qNpXZ6q+FMW/ev9K+FMW/ev9KXMi4lianQ4lPjJNxqfVXwpi371/pUh5OJ4rmbbUoXldQ9VR50nEsTS8squG5NhofVWDts4liZTLlBlzPJ4dmlTpjOJ4oXWWitIXJ0v9lHFfdLE+U8iMi3KebmyX6qRjacRxHlZaQuxkcy5IrudjIxHEdniHvt5Go04V3SON4hPvhz7bbOaQdQrrqO6rE8VzONpUbSuz1V8KYt+9f6V8KYt+9f6U3JjYlialqkIa8ZJuLH6q+FMW/ev9KdcGJ4tdKSfzr/Soc+TiWJpeezZg3JsNFEdXZWDNR8RxJSZknZOZ5F9NN1TpjOJ4oXWWytIXJ09le6/uliXKuSl63Kebe1N40jEcR5WpDaspkc3VQBrudhpxHEtliCFKdJkajm30rumdTiE/Nhr6W2byDqCeNNrOKYtdSQfzr/SvhTFv3r/AEr4Uxb96/0qO/GxLE1LckoZO0k30P1V8KYt+9f6VIdTieK5kNqULyuz1VDnSMSxQPOpuoIk6b/VWCRmcSxItzH9m5mk627NKmzGMTxQust5khcnT2UnF/dLEuVGGH7cp5ubLfqqNjDeI4iZbiWyQqRzedvrAYacRxLZTkFTt5Go04V3RPpxCfnw+Shlq8g6gm2tIV7qYtqL/nX+lfCmLfvX+lfCmLfvX+lRHY2JYkpTshDR2km+h+qvhTFv3r/SpT6MTxUraaUsXlcQPVUObIxLFA86m6giTp7KwSMziWJFuY8W3M0nW3ZpU2axiWKF1lGZIXJ09lHFk4lifKeSbaxk83Nb1VExhrEcRMp1tlRCpHN5w1rBsPRiWJbCWlZcJk66DhWNPpxCfnhz0xm7yD0e3tpCjimLXIB/Ov8ASvhTFv3r/SvhTFv3r/SsPVHxLEyX5bbCs8m/NP1V8KYt+9f6VKkN4nipW02pYvK7PVUGa/ieKB55GZQRJ09lYDDZxLEi1OcWl3NJ1Fsu77amzo+JYmXmUgpC5NxvA6qXiyMSxLlIjh2xk82/2VExJnEcRMh3ZXC5HN52+sHw1OJYnyeW24twmTztE3FtKxiUnEJxch4nyRu75sUX49tJ9XoDUVZW6s5RrVkJ711qArK2c1XcTpXMcF608m9TUdhQWgBKbjde2tFCdEpCQPsFOfSU4hRORS8pFLjSFK5PmsF9Q66HuZiKZKSdEtn/APE1aTHSu3+U1z2HUHssaQHnUpavrza0lt/WbVpKZP8AxBWj7Z9ShXNWlXqPozEwBc+L/wD9E1C+hR7O/ZQCh29+yQEjqFC4BtuvViLjqNZbDLutWTKMvybaUDlFxu03VNyp5xUi9hv51Q/oUezv2UAodvfskBI6hQukG269WIuKy2GXqrLlGXqtQOUXG7TdWI5U6nLew/WFMfMHs7/OAPr79kgAdQoEgEjdViLjtrLYZeqspSCnqtQOUXG6p2VOpW1uG/xiab+aO/zgD6+/YCw7KBKQSN1WIuOo1lsMvVWUpBT1WoGwuNxpzInUvtE2H61NfNHf5wB9fe1qwFh1CgSkEjdVlC46jWUgZeqspSCOq1BVhcbjSsid8hs6DtpPq9CBN+cauFG1ZVGrjqrQ2F6SrN5I1KVF7nUPNqUprbB+2ook9zHKXj565ArMruTQT/iBRWruTQV3vflArOe5NGa978oFFL3cim584SRcU5LkYUtqM3qTtUm1NS2e5VtSXAHEL5QNQda17jmT/wAcV/ZAD5su341p3NKT/wDVCubgKx65Ca5uBn63k1hysQwvYIfeDKVbUHf6M18rrr5XXXyuuvldfK66+hFKPClXPNB0q+/SurWsp6qzJFAFJtS0Oy8r1tA3zlChFjuZlq3XbA06zSEyHuUPecu1vDNOxnHUvFTynbpHX4UqC24GlPJtmVuFQ4qlZ1MMobKhxsLeFha23ktcjkh85hfN2eiVLV0Ui5p3FJk6SztFq5M2wvKltI3HtqVFmL2kuE8WVOfLHA0OS6S5LqY7RPBSuNHFYmIyn5Uey3kvLul4cRbhTMjDIqJbjoByrXlAFYuqcr8o5Vzkg6J03DyEmUrUNNlduukYm/icpvEn0bVvZrshvqTamn3rcoSS07b5SdDSlQo6ZMjg2peUV3Qe6PMfSpnxSVXSjRW7yWCtzI6IUVT5yhtzMV+vvYdhcN0x3pzllPJ3oQN9qhzo0yQ9EU6GpLT6897+cO3yVsMiNP3QczjjmXJ9VQnXVqcWrMSpW86mpWISpshmNtVNxmWF5QEjzqxDDZjpfkQXcgeO9aDuJ8ij3NiNy3De+0cyhNPOSllx4yF5iTWJIdlPMYdCXsEtsLy518STWKYXLfVJais8pZdc6WTqNDFZeIymJUi62UsrslkcBajyrWXGdVHdI4qTx8MJEdEbD+UoTyhLvPXr1UKdeY/OVkNNfONLxOPicp3EWE7VzaLuh23SFqwWDBeVF90G9u66jpJbtwrD3WJb70CS7sHmpC81idyhUnD+Uux8OhIG0DCspcWeBNHB3JDkqI8ztY6njdSCN6b+S1071ri/V8UKOus/bWQ1mAraOqCGxxUa2cZtWIP9TY0rLIfRhUc/3aOlQcQ3yh3/AHj2tPSEJ8a90lfh5DlEpVk3ypSkXUo9QFCG4xIgyVDMhuSjLnHZ4LLbocekPe9sMpzLVSohbeiTAM2wkIyqtXJEMvzZQGZTUZGYpHbRejKPNVlWhYspB6iPAEQNPTJhGbYRkZlAdZpwsZ0ONHK4y6nKtB7RTmzjypMdo5XJLLV2003IYWHGXBmSocfQ77Y3rbUkfZUVq/Oj5mV9hBruhnA+JdlZUnhzRY1hUy92o09pxZ/V66nrJ6TeVPbeoTKukhlIP2Vj3+NPkMRaR0iyT9mtQpObxYYBPZYa048rmofkuupv1FWne7qfnsfynyXc1/iFewVdRsO2u5+Us2aUVs37TTEROr0iU0lCevnXq3kXvmGoHzT7TXJD77FeW0sdt67o5aNWi4hm/C6Rr5KR/inPbWPw1e+olldutJG+sbQzrs8N2RI+UeFQHAdEt5VdlqxSWPe5M91xHanw2v8AFs/zUKYlDnNx5LbqrdV7fjWIPFQ2ao6gD15hYe2u5VT/ADdph/J9fl77VhUJPvz81BSB+rqa7oY69FvFEhPam1qw5KNTEjOLctwzaDyTO2MdvDeUoADROdWul6mS2/fUpsj1k2HtpUoSJIxhDe15TtDcr329VQ5a/fHEc+3yuPxNFFYFZCazikiY65s0/wB0k2FEQmUM6b07/tq+Y2vVifI4LHXq20y5IA/W3Vh00e/R5jeU+s28E4vlcdlNsltLYOluztqA5LjOYUphlYZakJst4nf2VjcxXvrs9xBPYnd7axRpGiZEZDqh2jTwMacw+AmRLXKVtH315UpQNEjt413QF6AIGNNR/HWVfOLc0g1h7WUFKmAVadK++pcfzWJbiE+q/oh59qTLg7f31EV3Ilf1UvC229nEW2WylO+x30MMLe0hhGzyL6qZU5JmS2mTmbYfezISfV3pSmM15Dm1XmPHyLgRImMRXDmXFaes2fqr3NW3kiaAIb0takNp6KAEipstrNtZZSXLnTTd5KHIdzbSKorbseNLhysxZXvymxrkclGZoWsQbFJG4ikS3JEqe+3o2ZbmfZ+rySkncRamocbNsWujmNzTkpqRKgOu++8kdyBfrpMWKjI2n7Ses+SUzGzZFLKzmN9TQlh6RDl2yl6K5kKh1GltxwolZzOOOHMtZ6yaeU3JmRWnjmcYYeyoUfVTceO2GmWxZKRw8MR5ObZhaXOabajdT7SkFxKkFOVO80xhklsKbyFKmzroSTb+NN7SRMkRmjdEV567Y+qthJSbA5kLQbKQesGhMW/JnSQMqHJTmfIOymn1LejSm9EyI68q7dVOqaLjz7urj76sy1fX5KJ/i2/bU0I1UjK59QIJ/hTuIZxsTHKwfq3VE5Cwh2aU5w2+bDU3p/Dk4Zh/KWWw4obQ2sfrppUpCW5BTz0o3A/EbjeK7bV1a1bfpWYUEE0VgVs6A8hh2MRGFSVRCUvMo6Smz1Vh7EeHKjwY7ofkOyW8l7bkjweVKZkTcJdaCckdOYtLHG3bWFuMQpEaHCc2y35KMhUeCQKxFD0OTIgS3eUNOxm8+VR6QNYjjUlhcUSMrbDLmiggcSO3wMSQ9CkPwZbvKGnozeexO8GsVxGQw5CjyY/JWUPCy7cVEUjC5OFzHZ0dOyaLLWZDg805qQ3I/OXVqecHUpRvb9OUtym9ohKgsC9tRRBFweFbTkysubNsdodnf5u6rCsX/wAG18StSkHoms4FBBNZxWU9ddelKdUOcr9Go65Da1h5WUZOFIdQboWAoHsoYIELVI+WOiObm8N6U9722L+vsppxTZaUtIVkPDvuu5SvIkqyp3msMecjvN8uXkShQspB7fBiIdTZuQvZh3glXAH1+icX/wAG18TsaOXU1zm1Zasd9qzNJ0vvpKXTf9G+51lwZm3JeUj/AC0+1LV4zDFLacJ32TuP2V3PTnhaRPXJkq7AU6D7KmsR8SRhUKIvY59No4vjv4VKwmZIROW2gOsyEeenqPbT0qZjjeEugktxU5SAOF+uvdRtQamBSUlSRoeeBS8Y90wl1CdoYWz8WB8mo8i1tqgLt6xWBYbvbW9tnE9YTu/jWHwW5KcOalXzzFi+W3mjtrIucjFcNUi4kaZ0K+rfU9PulyKPHkrbDjaAVq13eoCscw+a4lc7D2itL6RbOkpJSbV3JzZjozqeC3HDpwovQndhg0dWXOOlIV+AqZHj4kjCoURWzLmm0cX9fCpmGS304ktpjlLDzW9xPUe29GbHx5pqdrlgZRkH6p40+JCAzLDO0sk3yLGulQpe8utAn0Ri/wDg2vI766QrQ38lqkGtE1oP0c7m1NtqWlEy6iB0Ran40NtRjYwlCXVp3IIULk/VXc3smlcnZQ6m4GieZpWIHFsJM2LJdLzMpDWfLfzDU+RAwdGFs7IojOKRldWrr9VCO/gT8vH9Q6XWr5lfKzHS1TMP5O7yxh9IW3sz/vBu66mtoSVrLFgkb6gJUClQYQCD6qwCar3vOphR4JuNKjbfD+X4QoEPZW860K4GmJOCxJEHDUtq5TtAUocPCwNYql+I+uMqc6UvMoz87ik/wruhxd6OthU1koZZUOdkSkgfbXcpGdjLUA4naoy7h20l+KypWFT+a8hsaMr4Kt1ViCsWwlU2LJc2rMlDWfLfek1NlYbgzWHNBopjLdRlW4v1fJotz8BfRjmW3iGCOf1gil8vUVyW4xCr6m/VWHx1b0Mj0Ri/+Da765Mt0MtJ4mixgueJGb4jT61H8KscSNvp6+GP/wDoXWuN2/8Aqna8ZjQ9fKHTVlYzcdri6+Gf5qRCxB1T2HrG/hb5QpK0KCkKFwocR5LU1dZsKshV63/pG7FUcpOqF/JUNxpoPlKngmyyncT3pqHHEubeUuQMvAG39PDiNrWBDbc2rqOLluiPROL/AODa72d9Wd5XvbCekr/SuVzFmNhyTpbd6kD8aTGhtBppPVvPafDUwbJkJ5zLnyVf0pXc/iV23EqytZ/NV8j+nkSo9KsyjzervfXQWg2IrYu6LHxAMKkNB47mysZvs/8A6Fxf/BtUYsPLJn9Xmt+v+le6vdApas/ODK+kv19Q7KShtIQhIsEp3DyPupCT+WsDnhO9af6iti+ocvYHP/XHyvD7a1od766+qvroA+WefV0W0lRqXjRV0HhmPaf6aVGknpqTZfzhv/TxmGt0JkvAqbb+UBv8hiaIB8dJYaYzo6SewdtInYiNvPPOCFahv+p8OTGadC349g6j5N93gtY7hfNZK7qSNyVdXqNNTGPO0UjihXV4SUd4d7Nl0vVki9ZigjWk3pSULSpSTYgHd5VaAbF5QRXJSnnSG1K+s7vwqZEPmKCx9f8A+v08wNOGvNMS9i9lW8Lp7a+FcO/YmvhXDv2Jr4Vw79ia+FcO/YmvhXDv2Jr4Vw79ia+FcO/Ymn20yIycVbWpRdUjxZI7K+FcO/YmvhXDv2Jr4Vw79ia+FcO/YmvhXDv2Jr4Vw79ia+FcO/Ymu6RM91t6WFM51tCyTzfBcjvoDjTgyqSa9z0KMiLIUlJQneQdx9Y8L6u8KFfkUthtF9Eq31dyfHtVkT4160nR6XslF2WmwW8xzU/WatiT7by+GQa/X5TD4idb3Vb+ApppPRQkJFSY+5LxUAPXzh+njMtbQMlkFKHOKQd/kNu4bNuEZj1Zx5CRIaaCHpFi6sedbd4LjrhyttpKlHsqZjLw8WycyfWdw+oeElfeHetfjW/hVsx30mtPKst8GSn+GvegTxoDYn/Kdf4UCNx/ThyS+rK02LqNCVDc2rJJF7Wppc17ZBxWVOhN6StPRULjyGNqauXo0Rp1KR53X/CksuKvJi8xXangfCelSFZWmk5jTT6L5HEhYv1Glt5nnUtnK4800VNo9ZpDrSw42sXSoce/yZCrOyjl/wAo3/hTCVpyvveNc9Z8O5FDvfXX1VoONAq8mt1xWVCRcmlchRsmUm18oP2k14zVIOqsg/Cnpkx5KSsHKpXWaSpd7K3ZaTKaB/J3OPUf+xURy91BOQ+safpxif0JpzDjo1JYRMZ+znAViC97OFtIR/xFqH4VhsGAwmRiElHNDhshCQNVGorWMJjuxZS9kl+PcZF8AfXS4OGMNtobQFLlSQcuvBPXU/DcQbaEyIkLzsdFSTSnYTUSOltakFx2/PIO4CnFvtBmSw6ph1Cd2YdXfxgH/wCSaoPJv7nydbfqnePqNJWkhSVC4I4+DNxFwul9tu6RtDl+ytsnpJgix/yVBZyApcYBc/WKhrT8Ym4jSXG0/Nvp30RhzokU2PzU7/tNW8MoWK60ddaVu40G2xcmtovVw+UYiJOq+eoeygxH8xSc5I3mpa/1halPrJ2m2yJN9wtSTmLkcKsBvF6lQJHilOg2J6N+FSoKzZSTtEg/x/TjE/oTXc/jbaSVQ0pS5beptQ3VMluj8omuiQu+/Veg+ysInztunDjH2LjrCiktneCbcKhMYeqXizm1CyUSlFDVvONYgxj092FGby8maDhQhY69N5rEkR0qjsvxU8nS9e7vaL0f8Q57axv/ANSe9vfxf/BtU4lCbymfGNevq+ukYZOeDUho5Wi5pmT1eseDiCEJK1lvRKd9NRF8wuRA2b8ObTeGzYkn3RjJ2SUIaKg5bokGkpkjLJeWp9xPySo3t3pUkGztsjXzjup/EnB4ySrKgn5I/wBb/Z5HWuei9XQ2BWg8qSpIJBFjUj5yPxpMBGpWsLV+FNtfJcHsNJ+lPsppeSyytQKh9VNSEKWhKrhLyfZTa3ECQ0roqI31Z5lbfaNa/OQn5+lXQ+2r/NWigf0zKVAKB4GshQko+TbSshQCj5JGlZVJBT1GjsmkNX+Qm1AutIcI3Z03tSXC2guJ0CrairISEjqAo5UhNzc2Hfxf/Btd5b7H5HMOpUnoqPaKSxObMuDfTMbi36qvwr8meyvecwvRY8Muy30MNjis2qDhuGhZZC96h0lHS/qGtMRWhZtlAQPq8PWrKcF6uDpWixfy7LE1TqTIuUbNGbdTzUN2Vt1qSQVRyN1Kkz3JO2vzQlgq+utltJnTzX5MaDW0mdLNfkxpDW0mc1RVfkxrka3JmzzZj+TGlNwZTy2+1oj7RRGJFzKBzNkxc/XQsqak8SI51rmyJo/+lNeLmSh62FirJmyj/wANdc2RL+4aiykOKczA3Usa3v8ApfEZCC6/KcyIbH8T6h4AeEZ2VzgnIyLn117k7NW15PyjacLXtbwTh7iMi1N7VpfBY4/Z3sX/AMG131NPNpdbVvSsXBrleCOmO8nUMlVvuq4VyHugjOKy6bW1nB/1UH4b6X2jxTw9ff20yQhhvrUd/qrkuBRVOOK0Dq03J9SaEzHpa038y+Zf9E1lhxktni4dVH6/D7aNlWNZlqKq+qvFOEa0ku1ceV7npbTWePGLu1Xfo3Tp4ePTXmckaTl2S7jneEoDqqJFmNbF9BVdF725x/S/EFHVMCOhpH+fU1Jw5zFvcRhhKSjQAuk8bmsVVJkoeWykmNMRa6023kUxiHuwYr6m8yGUtAo/zdd6jz2lcml7dLLuXrvrS5cteRpOG27VHONBT2Mz3dlFWjaMxG7EJR1k8TXL190LeF7TVmM3k5qeGa++p0rKh2fDc2Klo1Sden6uNR5WH4+3i6yQXoy8oBTxt1Vh2IpOVyJKSb/qnRQoGsX/AMG14OxmsJeTwvvT6jRnYDIcdQN6B0wPVuVWxxhvkj6d7iUnL9Y3iuS4HDWpw6BxScyvqTXLMflrRf8Au82Zz+grJCjIZ6171H1nyBJpbqtw3VkFBZFFANZz11bdpS2FnUbvK8mfnstv7spVu9dAg3B4jwLnQVyYYiwXb2tm0+3dSnHFpbbTqVKNgKLUSa086PNB18BTjiwhCRcqUbAUWYs5p135AOtbWZIRHR1rO+trDkIkI45Du/S7F21acsYaeR/l0NSWcawdWIQd8Z5iPtdOo13RvIYdhYY62THjvdIaansqLFXhUxyXsbNbJu7bnUc3Co0Ytl2WqQl51LYvqTQXJi7aKIBspaebmzW9hNYh3OvocVBcSoxZOW4CT5pNIg4r3NLkTWuYHmogcD3Uc1PPw8JiRJa15+RtIAu31H9a1IRhGBy4OL50kP7HYpb11JPGoULpuyZTbf8AU0piHLMF/SzwTe1OzE90qhKdQEKc2A1A3caZbfe5Q6lNlO2tmPX4QXJYs9/vW+aqtlCjoZHEjefWfJZRxq3ZXXrV+yso11rORRQDW1oeTmyU9JplS0+u1Rw+wh5UtraurWLlRVrvpyK4rOYb62AewHTwJMNh/kzjycu1te1OYNskGVswltsIsc3A5q7mcHkObQPrTygg9IJFN4hFaQxJhOIU2pAtpexFIWNyhfv4XClOFENxzaPgeclPD7agsSIMrB3EuAxXy1s9eq/D1VO5QkOt4cyhDaFbgpWt6w9UdIaRiDS23UJ0ClJ1v4TDZlPFHKrZc5tv/SiFKZWGpUVy4URoUnpJ70uIlQQp5soCjwqNFUoLU0gIKhx8Nue84FNsN5WGrdFR6Svw+KIooBoLIrIDQecgqkxjvcRvBrLFfCXP92vmmuibXq6h5SXF4vNKQPrFNR574izIaNiuOvp83QWovvo2b0t1T5Seo7v4eA7KhN7Z1qyii17p408XH2ZBcbI2NrrJ6rdddzeIPtrUqA5meRvUls/0prCsLkImSJbiB4rXIm9yTSUJ3JFh38GxZbZcjxHvHWF8qTxpnDsNeRNmPvIKNlrksblR6qkvzFbKHiLKbPq6O0TpY/VUR6Grbw8OaUVPp6O0VpYeAYUFCXpSemtXRR2eug5NjCRFJ1UlvJYdhqI4ncuTmH2+jAw2gSJqhfJfRI7aEpUYcl7WDl+2lDLsZbfTa/EfowVDhWTtrMeqsoNanm1d1rYO/wC8a0rNCeTikcf3TnSrYTGl4c8N4cHNp6KhY2qNRr009Y8oHXIzS3B56kAnwtqIjIc+VsxerEXFFTMdppR3lCAPAIULg8DRUzHaaUeKEAVkebS6j5KxcVkZbQ0j5KBYd9507kIKqjoleMS6tTrt/O3qrYqaQWbWyW0qMlIskS7AfX6MemSwXWOUZlJHFIO6i0qHILRGXLlFrfbUVTF0tOulsJPyT+jBSeNFVuYo1bdpXXrWbdpWVJoKO6lJejNSF25u00/jQfYkR2VpN05Vq0/hSBL2fKB0i0dD8ddaO5aSmopleLCFqZcv5u9PtoqKgEjW5qMpJuDL0P1+jFtykZmGpXPCuKL/ANKStECOpChcEJpfIG4qpMZfmb0n9Ge0UciSR2VdabGso6quEki9JTa3oFc/DSgOuauMq0uesUIkh1yLD3EOSMybdiQaZeaCVwmnwoLUvnZfRnK4i0tTQLEK6LlckSH0xt2UShs/svSZ05xLklPQbb6Kf6/orbeaurSslr1caVpVlC9XSnKa8Zzq8W2B6OMWQ4sP2zZUoKqSwmTs3V9FLqCnN35UVleZ6KQHR1X9Bwy1HTI2xVcHstTT7ZuhxIUCKODoYTsBcbbiSBr4Eh1xtLZbeU1ZPZ3sLjJbSsTHdmonze+840hSA24Wjm6x35U1CA4ppNwlXHWmHiLFxAVaoeGwIzL7shsr8aq240ZOIYSyYiemqM7cpHXTT7Ru24kKSezvPMqjBMEIBQ/fVSurybHJ2BJlPKsls9Q31GmN9F5AV3sUw4tpSiIGylY3nML0TXLosNDkrbKb2ObSwVa9QsOW2rbSm1LBG4W304yqMBADWZL99Su+7yUuYhIWplsrCTxqJJUMqnmkuEDhcX70zCi2kNsModC+Jv8AHtk1v4miVG66KEGgtYrhetiromgpO4/EruLS2OtRtVwbjr+MoTKd2ZWLjSvzr/lNfnX/ACmvzn/lPedenPtx2eSBOZzdem4WGONzpy3kbPYC5Rrv7KiYPh6EPYiprO6670G09dR8OxhLKuUg7CSxoCR5pFd0O2aTsoFiMg5ytDvpGKstxJEdQz8iauXMvr66w+DCbbbmTUlWaTolsD8a5JibLbrZRnRMjiyfUak+44jsQ47ha20gEl1Q32HVWKh9lLGJ4ek7Rvek6aEdhpGJRW4jDIbz7J2+Z3t7KjTQjZl1OqOo/HO5ppeqHHXkK9RRWJMSD4zCVLb+rza7mdqLSHmJD7vzla1iL8199MKO8Y7LDLhRqneTasWwx11ctiNFM2OXDdQSN6aZxaXPle6T42qHEOkJb6hl3Vjqs5S+l5d1J01vUtxKylwQr5gdejXcWpRuStOp+aKeGMYsUxwhOwhR1qSodZVasbwtEiS5hyAjYl0kOJCr3138KxfFMzqlsLcQEFfN07KRKxTGpHum4M2Zta0paPUB2VHaS+RMemcgEq1iR8v7KmPw5UnNYbZLrpWHRcde7rqH9En2Vg7rEZUt0R12aSbE607hzeDGEJAyLefdFkp41g3c1GkLYaU0VPvN6KKUjcPXUGZBkPmK4+lmRHecKwQrzteqsUQhRVaIkobJ5t6WcYxGbh+OXPjHVKQhJ4W4WrDAt9x9krAnSIQ5xR1imVYJiytnY8ohSVqUpXaL7jWJmW+8iBDe5O0wy4UXUN5NqnYIp9yRGMYyI5cN1IG4i9IkYjMlL5ykspbdKQgA7+00tMh0vLjvuMBxW8gHTwJj2Iy22WYjXJmkr84np1iGGtPB5qM6VMqTxbNT506RIDTUlTDDLLpQEBPHSu6t15wyXozLeVat6ubzb/wprE1z5Rxd1rah3anKCRe2XdagpKyhzlhuUm395WEBTr45Syta8rhFiLbuqsThKdWGV4aBYK3c7fUxctWaXhpWyvNxUOj7QKwmI7LXHk4gvM9JVqpsbz7bUJuC4rIXNbUCptxa1h5PEWNNuDTOkKrGIjst5uClKFKaaXlzG2gv1ViuCqnSvcqLlWGg4cxzJB6W+1d0MHauPxICEvNB1VyLgnLf6qaxXEJkrlckbRstOlKWhwsKkxy7fEWpfIeUes9L12qbIiS5Jf2fjtq6VJdT52ldzeHGWYDEiMhT8hHSCAgaD11Ek4JiL7yi8lD8dxa1haDx16qxU/8A8Nr47YbzRJPOooQaC1iuF6KEGg4sUGb/ABIYbHN0tCwHDNa5/pT0Fw85g3T6vjKFyms5QLDWvzc/eNfm5+8a/Nz94954OtJcRyMaLTcVmaYabV1oQBQxOSCIMqNycvWuG1A31rCUYedvHhLL70gdEdQvXdc43H5UoFJ2J8/Q6UZeFS5GG4lluiIwpXT6slYQz3RQQW3Wrrl6+Jd6tN1MxsGnyJ2FltRkB1RWls+bZVSsLxRfJHGnlLbWvc4g7iDXdTjIbUiNKY2bOYWKwlNs1Qf8EP5aif5vb8cwGQyjM1FdWp033Aikrij8gmbPlhv8g1hExtscljsuIWq+6+6prkCGMQgy17XZheVTS+P21PxHFkJQ/Mb2AjoN9m31Xr3LagImIRdLEvaWTl4Zh2ViuFyCEyJDiyld9D205hZw1EQ7HZreLoIX2J9ddzFmvzMp2/O6OlYi8xhiMSbmObRD2cJUjsN6nyZsdK0TkIJdaVzWynzf41iuEzYtor6lrTJCrg5uyk4f7jtTlNDI1KDgCVDgVUhl+SlWKNuCQhwJslK+r1cKegnDEQ7p8Ysug57cE/XUZtYstDaQR9VYXPQ3eKyypK133HvQsUw0IXNiXGyWbBxB3i9QxOhDDoEZ0PKSV5lOKG4eqsSljxTL0UNNvA6hXqo4fMwdrEncpQJSnE5Vdp6qwpvD3g+7EPjo5VZLo6r1h8t7DEYU3Ec2pczAuOfq6cKmyMPijEIUxW0U0F5VNr4/bU3FsRQlmU81sWY6VX2afX20zGlI2byVKJF78alNykbNa5TjgF780nTvvKjozvhJyJ6zwppE2O05MWS46VpCuceF6g4jh7CRGW2WZKU2TpwNqmphQRiECS6XkgOZVNqO+sccxVKEjEGkpu2bgaHT6tKRhIgtuZBskTtpzQjdmI67V7nFoGZykuZcw3Z73rB8SixeViM2ppbYVY621qViCm7RVw0tBV/OzUdiB7kzFtvS9eKL6W7dKivw8nLYbm1aDnRV1ppthvDGsJGYbWSpSV2H6ooDfWLzHEWjvpQG1X32FY1NcRaPIDWzVffZNjWPvSG7RJrbbaVX36EH20MNaw5GINt82PIDuUZeGYdlPxHHk+6LzvKi7w2l7geqn8PVhqIqy2Q48XQQvsT66wKVFQ2rEcPZS2phw81wZQCL1HTyBGDxkKzOukpUpf6oFYhPUi0V2O2hCr7yPjuY0UINBaxVhvo5QbUFrFcL02kHS9D4gVHQDU1iE9W/t/WP+lOM7m3iRbsOo+PZ8oz/ACra94pUkKSeBrK2hLaepItRISATvPXW12Le1+XlF/topWkLSeChWVptLaepAtQ2rSHLbs6b1lsMvVWUABPVVkgJHUP0sQEcaC1iu2gi/NvQ5anbYdIPNdA97oONEKQRcKHGihBpL6xQ+ITnNx2RSPr0/GnHeLrp+wVh85Om659RpKxuUL/Hdntz7ltlpLjdhpnH9akSlmyGkFZNYknEXStTeQpTYc3ML/0rk705hp75CljSs2YZbXvwrEfc+e0uWy0VDZqBIrDuUvp5TIbFsxsVm1NJddQ2p1WRAUbZj1Cp0JTpMZEZK0t9RvWxfnsNO/JUsaeun5rLjKncl2Qs6OH8aalJdbUCnnlB0SeNbBiew698lK99F6S8hhsecs2rBDhsxLjD8ktu7Mg303d7Gmm8YchtRX8iEJaSrSsPamTxicKY5sbqbCFNq+qguXIbjpO7aKtetrGeQ+38ptV6Up/Em8RstXj02AAvu+qthHnMOu/ISvfQXLktx0ndtFWvW1jPIfb+Ug3rYSJzDLvyFL3UHXXkIbNgFqOhvurkvLmOUbsmcXv1fE1PyF7Nscac2BXnb6bbrakKT9R+NCOl1WZStmlezVs1K+SF2tf0TqbVYc6ujVs1q07yCRuNaWvRQg0FqFGLJAW0oWINcmdWZGEunxbnFug6CFtq1ChxpKUj4ilvi66B+NQUdbef7dfxpDvFpz21DcJurJlP1fGGhCZ2qSOdzb1+af8A26/NP/t1+af/AG+93SxPOcgtZT1K4VgsBJtImuhl+3mhHTru0eYHOYSgoHqa0qMXo7clclG0dccTdSie2n4AcUWEYlyLaX12V+upWxjtMKYbzNrQmxFdxfq//Gu5r/1BNYotRypTCSSfrFOJw7AHcTZdKiZkspTtO3rqUp1IWtna5CrXJz+FYJDjR/FTHEB1pjmlzm3t9dbCN3KOxH0WLLyFtgoI+usIjYk1dDcHlBZXu2u4/ZXc8/HbQypx/KpKBbNbd3u6L3NlsxQJPP2ree+lRpuMYgmXyU5mWWm8iQrrNY29NbS8YhQyy25qEC2+m2YaQ0zMilbrKNBmB6Vqlxo7iW3VyXLZzYK5/RqI1i+BOYRslp2cyNYpCvWNwoYm1BaxmPsA3yYrGZs9YvWNvQ4r2H4imOXXITgsOaNCBTD0iO3Kelp2jzjqcxUTWKQM5UzExAMtLv5t6kFqM2lxlrOhwJ52brvUNajdSmUEn6viTT8psvFDqSy2nepzhUjEJa2RIdSEBhhWYNpHWeJ79zoKGHR3UyHdmXCps3Sns70htiHKmojGz7rCAUoPVv1+qmpLCw4y6nMlQ4j4kc262tRY0UNxMHYeStKlqu4+UqvzRwFxv8BSpDyNqLWYCueq/ZQNMoLbkiS+bNMMi6lU+zsnY0pi20jvCyk34+r0D21d1dh1VoRRCK8Xegl9OZNXFEVoCUGgtYrtrKg0tiUnaMuDUGhFl3dwt0+Le+RS2mnAtaUhRt1Hd5cC20fV0UVtCwnZ9WWoidmGdnfNr12ooYkK2KTZOU6WqW1xLd/xp6Pxacv9vx2bim1BTIaQ3s7brVJxLbZ21Ztkzb3vN0qxeU44HW55SdnbdZNqMTDcYDGHXOVDjWZbYPBJpWD84sqGq/Ozb83rpUGdjIdh5bJCGsqldWY8awxDErYToFi0/luPrFYfNxDEg/JivpcshvKjKOAHXu1qbPccCmpMfk5atQgJxge5Q0yhrxuXqzVPwZ2WFxXs2yUEc5NzfXrpOH4lKS482QWpDCMuS3RpMfE8YS7BuMyI7WRa/WaiSIb/ACKdE95dAuLfJI6qhTsRxNMiRGczBKG8qAnsHX3sVkl4OCa7tAm3R7ysSwqYIMxxOR0LRnQ56x107iE6Vy3EXU5NplypQnqSKcwt2ScxeL6Hm9ClV7ikR8VxZt+ClQUW2Wcql26zRxHCZwhSFthpaHEZ2yB2U/PxGSJ055vZFQRlQEdQFKj4ViyY0BRJDbrWdTd/kmk4VHeyeMDqnli5Wq9yTUjDw5sy63kz23VHYvm2TaUX67D4g9Jd97aQVq9QqHKenJw1Et0IbYQ0FFIIJFyeOlNpxVbTqUee/YXV10p3DkMBKtCpmmuRmEL3zcrcy/ZTSHVYTsyoBWyfJVbsqx1FREx2UMJMFZIQm1+dRtvq598U+6XfnZzelJT7ymS8Gvm5z4aWFOoDyhmCCdSPJRsNgBPLHwVlxzotIHHtqWiRinK0x1bNbWxSkG4oJaiR0vt2WEpGqe2nVtZNoEkp2psm/bXSwX94NNLf2W1I52wN0fVUqUWGzIGUB3Lzt/XSfVSc25OG3R69pr+FMZfOw9Wf7+n4+gCaVrc1ZFcaBXV12rS1bK+/vZVpvR2SL0UhpVqC3k/bQSkU5HaaZdKuD1NctaW2y54oqPR+3y77ytUg6erhX+VPspxlKvFiydOxNOJQraIQqg3I/J3N3O6J+upMMnxbxKQf4j9AFMQIz+LPp6QipulPrVurMvucd2f6joKqEdxDsCZ/8vKTlV9XX3ywxNcgOEg7ZoXNRcKVi8mUwHkBWfTNfvPR3Rdt1BQr1Gobkp/lHJB4pOWwzbsx7ancqQHuSMI2Da9wzbz+FPN+5z2HPOsZyjOjZrANr2TxpHK4zUjJ0dom9qQ61h8dDiDdKkoFwe8zim1IU2wWNnbQ3N70xLExxDLaCkxgOas9dSeQYm7AjyVZ3GUoCudxKTwvTMSOnKy0nKkeEpazlQkXJPCpeOup/JYvi447f+/b5Jqa05s30ILeouCDTvOK1LUXXXVb1HrqNjO0O2lyVMupymwYOiNfWAfrpbTqQttYspJ3GvgyN+zFIZYbS00jRKEjQU7DU4Wg5bnAX40uOzKXDcNrPNjUVEeblLjToosiSkXv1gjjepEuRJVNmv2CnlJy2SNwA4egHFJ32oqVfWgVitbVzLUQg1pekOm9xSb7+/qkVokd/KpIUnqPlrU6llsNggGwpbityW0n/lqTLXvPHtO+nvn1743Hf3XQob+0Uh3aBWzXzXRpY0OUsX/XaP4VpJSg9TnNq6VBQ6x6bUtRslIuTXLJOFWwR4WLm18YGz5xT1VEw2Mw2iMtgugo0tbs7wTIZQ6Em4zDcfAhKS6wp0ym8yEpXnHrvzfs8BuUh96HLQMoeYIvbqN9DRm7Z+TLUjZqdeVe49nlWsLi6zJ6sgA+T/3+NRoSN6E889auJ8m9GWpSEOpylSDY0rDVgiMW9nYbwBupKblVha53n0MEq3VwohBrKknWmIb6bJfRdC+s0bjSudarJtSVdfxZxSMSg23aykD8a2CS1HbJCcy3RZVv1t1qSy3icBYG9XKm9Tx4044nEoBSVX/Om/60XBiUDLnv+dt/1pxDmJQdks7+Vt/1otB6JPYzXAQ6leYfUdKyPFOHt7ytx4BI+2rx8chp7TJQPYqubjkRXrnNn2mudiMJf/HaPsNWL0FR+d/7q6EZQ7F00w4223nNs2f0sUqF0kWIpyE/IRLw7Js2kKRZSU/JJ46UiZJnte5sZlTbZd5qkAncTxpnlcxDO21Re+tJWhQWhQuFDj4GDZsTYfa5ai0JKU52u0nf4FlPbBkKu6b2unqvUhcVKkQCBkzXspXWm/DwNiHmy6PMzC/2d4ZlBNzYXO8+EpxasqEjMSeAqXjz4/Jox2cZJ/76vb5TTfTDbC1SMSDoU88kmwTfXN9XDwBtnUNX3Z1Wq41HeCkKC0nik39ALy9IClt66GrqvQUqm5DHv8NWceqmJaP7xNz66IRekXvlvSEdQ+LS3cQw5t1/lbnOdRra9fBUb7lfBMb7lfBMb7lfBMb7lfBMb7lTnYeGNIkpTzC0jnVhyn8MZU6qO2V5ka5sovXwTG+5XwTG+5XwTG+5XwTG+5XwVG+5Xc4vDoCWbyjtFMo4dvpjCHJQvhiJV5VxdNraX+usaxmQpo4ay2mKytY5nbaomYEJOYtg/Ivp4GCmPs/dTlqNvbpZeF+9c6CgYsN2Q0pWVLlwkKPZTSVKMY3CymwV9Ro7aWqQOAKEpt9lJ2iXDm/3bZV7KS2lEi6jbVlQFS3kdJDZtRU2gJfaRtUvW52bfe9MuHetAVWHyDKeWky0AMm2RPhM4PE50yecth8m/wCJ/Go0Jv8Au085XylcT5NGcKW4s2Q2gXUo0ptUJbCRcFZWDY0lKJ69mDcp2SOd/ClOKvZIvoLmve5P7BVJdTmCVa84WNYi/IQl4oc2KAsXyi1YhDHvcd7mdgIvarJlPRrXvsba1E+b6AtSnFJ31paiEGi24Ltr5p9VTcGc6Tato12irrFDKnd8W1o7JxC7fJN/BzLUEp6yau2tLg60m9eMcS2P1jarg3HWPAu44lsfrG1BSSFDrFBCnUJWfNKtfiDmxIS7l5pPXS23NklaDYjJTzkjIIzenNTa6vKOML2d0nfl3ig2cmyTzlnLw+MITyflj8lWyajfLNYlBkYTBcciBt1MNvodf20xLYGVtxPQPm9ngdzr6WkJeXPSFOAanTvSGUHKpxspB+qoDIb5OxHstd+sDQCnIqHlR2GEBTikdJRPbTjSZiZbNrpuq60mkbKWuLbfkAN6SpWJvOJB1SUp1p6Orc4kpr3OXGyKIyLk5ubl6xUeO2yDFDert9xG6oGzTm2clDiuweC486oIbQnMpR4CpvdHJSdk2dnGSrh/+h/N3kYa21tebdawej5JiZkLiEtlFk7weupDz/vr68+QeaOAoOKX+QvLVHbH6w4/XqKUlKy2ojRQ4V8LP/cTSULcLyhvWrjUpxmOZbEk57JVYpV/SpUjZJdnPubQt306rX9VaiyindUdl0ZXEjUegSlVFbC9OqvGigrjUDGGR0Ds3e0UlSFg505wOz4vhWDJcU21KWVv5DYlA4VBxTC2uSBL6Wnm0HmuJVpr4LCpxBwZhsktZ7Ba+2ozOAqHJCwsy22VXbT8n66xWbiSOVsMvmMwyo8xITvNYngyVqVESlL8dKjfKDvHq8CdOx50PNh5TEWKbmyU+dlFYrNw6cmTh1i4yze+xVbVPs0pqZiCC/iMtG1MhSjmQTut6qySV7R+M6phSjvOU6H4gzKjozcpUG1AfL4UzFR5o5x6zx8omWgc9vRXqpOYeOd5yvjEGbCQHZcB3apaUbZxaxFYk+1gc4vSW0IQ2pNspHWeqmIzxCn9VuW3Zib99Rwttp2XcWS8bJtWEYXijDDTkaWhfiTfwFS4qUu7ROVxpRte24iuVuoaZTssgbb4a+TjYDD50ucoZgOCP9f61HhNdFpNr/KPE07IVvGiR1mlzpGsmVzrnq7+1fhuQXM6k7J3fod/kHQzbalPNv10lLFxLbAUhwqNs440L6H4i3D5I6WVN5+VDoA9Xxjd3nExAh1NueypOp7R21MDhUShCUjNw7Pi+BYi5pHClMLWdyb7qgYY0oLkSpLZSkfJBvfwXMHktBtK2c7a1q0d6xWDIwgBiQ65aQwydC1xJFY1hjhyPJlqfSFcUK41i01rnMMNIjBwbirj4GMxnUoGIIkqvm6Wz821d1bOHgclWwE+L6JdtwqM646lHJmsj1z0SnfTslScvKpC3k/Nvp8Q1F+OvlbEXHxlqThigX46sxYVueTxTXJcDiKjrGj8mToGT1W4mmo7shUp1PSeXvUfAhv2c58lsap5vt8BSkJzqG5NNtPLQ5tATzU2y+SdkPKytNpKlE1N7pZY6ai3HSfNH/6/HvJjJ1gxNVngo1YbqclzHQyw3vUag4wMRcMFtrMzGRzQVHzj16eSeeBQ221uQtPT+ugd1/iE/DcKxMMSWlBt5xCb5RxApiKla3EtJy53DdR9fxt6U0nI48Ofbce34upiQ0l5pW9CxpRdhQ0MuHz7lR/j4IROjIkAbr7x9dEwoiGVHerUn7TSVToiXlp0CrlJ+0UGIrKWGh5qfADk2Gh5wefcpP2igxEZSw0PNTXKnoDa3r3JuQD6xuoJSAlI0AHD0q7deyGU8/5PbTcpXdhLTHcNkuZ9CadkN917rbzvvi0qsVeumNnNViCdfyhR1Vr4GFSjhqWEOTEATdrcu9mW+n2d/wAY4lv5xtS1xSl1Xm2Olc6OoLV0nlrBJ75J3CjKS/s76oayi1u2m3bWzC9qebbe2DTNgSkXJNPoWNo+yrLppm6qlJfTs8mWyL3t3ofc5D1ekqCnbcE0xEYFm2k5RWzaP5S/zEAb/XSUq9+Xz3D20tLCNpGbTziN59VOOYxhKWY4ezRm3enYcVCrDyOQPtlW7LmF6Ut6Mp5IPi05xlHbaurv8mac2KUJzLWBc+qnozys60WUldrZhTTTNg66rKCeHWaZbceL7T1wCoWKTTCA1s2i7bPmvm8hGw2Ph6nI5RtH5S9EJHC3bSmYUdEdtSispQOPo1UIIKEk5W3idFn0mzGbSgoXluVb9/k4+RRT43geysDJUbllu/3z5QpULg6EGmw9AbfRnysxkNg5lHqFF6T3FtpjDU7PIpSR6qYdgBKYixdAQLDwMCm8skObWclPJ1q8Wj1DvqfWkOzHlWAO+991Nttt5nF9FA0pLbzQTm6KkG4q2xL2vRSq1fBzv7alJ3XFqyOKCHGU5Cg771FbfVkWvQA9fVUtt1QbzkOJKtLipckdBxYy9oAtep/+T2U/MeNm2k5jUvukmjx0lRDIPBP/AHpS3XFZUIFyacxZ9PiGjlYQaUyXkso3OOq3J7KamDED7nNt+KYa0zk7yrr8lHZvZpxdl/0p7ZtIDTYACgPOpuPluFb19R4d74Od/bURsVMa9FSr04XSEIeQMqjuuKlSgfEpQG83A8TUKalWZhCzdQ6iLXqI20oOZCXFFPAVC+mHhKccUEISLlR3ChhWBqU3DQbuSRpft9VMtKcU8pCAkuL3q7fRs1ziUZB9elQcUTvW6q3Zbd+NMvJ1S4kKHpKN/k9vk430v4VgX0Df858rhc/I689FkZ0NNoKs+mvqpezw6et4p0QWCBf11FgKjzi+pXOPJlZQpR9ngYFiCM/KH5yErus2+zv5sozddMySCWwChVvN7aaUw684hSuf8geBnKElXXahcA23Vz0BXrFWGlE21NQ+5qIvxd9pJUOFNMNJytNpypFN4NEOl7vr6qRDi9MJsLeaOum5OIYesZX9oyXT0xwNuqrDQeSsRcVoLAdVPPJKUl1W0AKedpupty1swvbv2WkKHUaygAJ6qy2GXqrmICfUKFxe3greeWG2kC6lK3CjheF3awxJ8Y6fO7T2dlJjRU/OXxWev0cw1xcd/gBUdNucyhDhHbx9tRr70XR9npKN/k9vk430v4VgX0Df858rCiwQjls13ZNqd6KdLk0vDoEtuLyOOHHncl86zwpiS6kIe1S4BuzA2PfMhER6aQQNlHF1VgUHkMmE+xNStSZAA8q/NXbMkWbSfOVwp3F5ms6ec91bwmrp1kOc1tP40p9/nYjJ5xzcK5bJdSlnJojepaj19VvjTkmU6lllAuVKrkcQKj4Wk6349qv6UmNGRb5SuKj6Pw2IN9v5jb8KlMAaFkgD6tKlsHehzN6Sjf5Pb5ON9L+FYF9A3/OfKKWtQShIuSeFR3Y0gMyWF7aO+OcAanqamsrxaa4FOPrRzQOz6qYjKeGVve4s2zKPgRlbRJUZDXMsbjyrcBvXC8PN3TwUf+9PtpTrhyMtppeMzU3bScsZg8a5ZOzrCl6IOiVj+nxoyZjmVPmpHSWeoUgKBZhJN0NDopHWaTHjpt8pXX6QiNb9kUfw53exCF15h9h9JRf8ntpcVtSi6m99OryUb6X8KwL6Bv8AnPlClQuk6EGlLwjEHsJJ12SOezf5hrKcdYSj5Yii/wBlJkzX3cUmJ1S7JNwj5qdw8DC0iRLWoS27tOI8Sn5p8psmD+XSvFtBO8dZpCHAOVO+MfPb1fVXJm1HkDJusjzzSZEhsIZSLNNdldnxksp/KZ56LCeHzqD81RccPm+a2mgyyPnL4q9H3R78vRPZ20Jgm9LUIL2ppM6W6ApV9T8q1u8hW5DpH8R6Si/5PbUj1r8lG+l/CsC+gb/nPlSpaglI3k8KcLc1lYbIC1ZtBfdr4OBLeeaVh5nI2TaU88HtPk3H3lBDTacylHgKe7oJSSIcc5Izauvh9m/1mjhsRXjFaOrHDspDrw8XvCfldvxlT0p5DDQ85ZpcLucZKGh75Oc0CR+FFmKoy5B9+mObu23Z7aDLI185fFR9BPyrZigaDt4VMblPF0iy034dflW2d4bAFIPAFVTFPyNgQRs77r8a5PITtmh0T1VheKIGh007Dem3BuUkK9IBx8lKSbaCoLzZuheQj7aketfko30v4VgX0Df858rg8d9WXDnpWWTwFraA/XWPxFsNNwNg1dFrJGm+ohcUV2zJQtW9Sb6eBgkl2dtYbk1AbjZfez1+TY7mcOVvVmlODcOz8aZwvDx48JypHyf1j21yqVrm1sfO+MXlzGmv1c2v2Vyfuew12W5/vnE6CuXd1GIFwJ53J0KslP10nCsGZETDW+kpIsD66DLI+crio+g1p+WtIrZnTatFP4/h5VlwNp2lzzra1frKk1HXxcdcP8oqMFD5Wv10hK1ZmF85NuFR4riczjYy3vvpDtsubh6Pb+lHsNYR8xv21I9a/JRvpfwrAvoG/wCc+VWMSb27LhyBkC5WeymsSfi4otly20jl0qyD9YdVR3IeUxSnxeXdbvmRMeSwyDbOqu5xuDMbkrRPSVBB3DyRWjnTHuYwjt66VLleOxufzrK3j10cQn3UVnNrx+J8kll3a5A5zG76f9iuaxKWeoN1ZvCpq/qFfkfc3Ic+df8ApXiMMYhD/wA3/Wv/AIljxabO9tjhW0kBye7xL6tD9VKUEtxmEDWwsK5NGuzBSdT19ppLDCbDieJ9CRUcS7f+FYdwzNN/xat5Vj1mo8FvnOBZUq38Kgt/JzD+Wov+b21FSdxbI/ia5PJJS2eisjhwNN7B/O0pOZIHOFqCZUbMflJNv4Vzi4185P8AStJjQ+cq1cyQ2r1LFaKB+v0U39KPYawj5jftqR61+SjfS/hWBfQN/wA58rh2IR2TKVAf2pYTvWLWNqU0xHlvyyLCNsTmvUdiQMr2qlIG5Nze3f2b7SH2/kOJzComzj7CPyhrLkRlT5F2VIXkZaTmUac7pcURdhByQYivOP8AQUcTxLXNqlPX/pVhoPie0djNOOWtmWgE2rmxmU+pArQW8AvSF5Ej7T6qCdWoidyeA7TSWWU2HE9foXD0IWhfSPNN+qsIVwsz/NbyruCQcMTNUlkOZtrkUL/XW2Pc9ym3R2klA169DSUHuWaypvb8rH/VSUHuWasnd+Vj/qpCT3LNWQLD8rH/AFUlDncu2hSBZC0y03H/ADUh33EUvKb5OUosf+alrY7mmZCGFmOr8pAsobxqe2rHuPYHaJYH/wCVadzeT1TEf1r4CFv8Sj+ta4B//wBTdfAbg/8Aqm/607Jk4bIajtC6lcoQbD71RnyLFxtKrfV6Hb+lHsNYR8xv21I9a/JRvpfwrAvoG/5z5WFGgJQZs13ZNqd6KdLk18MRf3em0zXkvyR0nEJsD4GHOgQ8ypbdy24ov/5k3sB9XkeQsrIwmKbuKSffVU3LlthuI2MrDHC39KsNB8Zso7SQei0PxraSDp8nzUCg00PWev0K4pRskJNzUXKOaFZaw1/s9h8q9jO2Ts1sBnZ218Oa046l0vy1yAUjcFW0/h4UyAhYaU+nKFKG7Wo0dSsxabCLjjb0O39KPYawj5jftqR61+SjfS/hWBfQN/znysb3OSxylp3aJddUUlHqtQBawpR686v6U2qbseU65+Tm6PAwg+5PJzy1H5ff37s8gcEw5fj16PuJ80fJpL0hP5MNbf7w/wBKAAsB8YK1qCUjeTRiYOjaucX+CaPP5Q7e7j6twoNtj1nr9DSu1OWmirXKQoisOdGo52vrtTS/lIB8m7JfVkaaTmUaGIuYMpOFb8+08YE/Ky0282rM2sZkns8BUp1KnDcIQ2jetR3CmncWwrksNxQTtW3M2zv8qo0ePHMydJPimUm3rJ7KTh2KQuQynE52ileZDnYO3wI8ZlhUyfIPimE+09lNYfisHkT7ySplaF50Ltw9dO4fhULl0hkAvKUvKhHZ66kNOMqiTYysrzCju7fV6Gb+lHsNYR8xv21I9a/JRvpfwrAvoG/5z5XDMPivmKue/sy+negAX0rFYie6CcHYuUt3VosEcajbDPxz7Q3Oe/O/j4GBNvR2kQEzkbJ1Kuco9o8PkcQ58SeHNA/ux11y6dcpUbm+9z/SglIsBuA+L5nFpQnrUa2UJCpr/DJurbYs/wAlijXYpowsNQGIaemviqg00LAfx9DqaZte4Ub0Gz/u7Vhzm9Tb2yP2H/SoCuthHs8m8nzVuISv5t6cbI8XsCP+WsMKt+z/AB8BnlLSXdmvOjNwVRTMip9wkPJU6uOq7hSD/Cg4NWvcwLZ+tW+u51xPvol2HqI18B1qDs0v8jCQ69qGkXuTbr4VAiYo4zOjyiUsyEoyqbXWOuK99VPXmqZk8+EjP9unoZv6Uew1hHzG/bUj1r8i8+RmDac1hSXUNKa2cgJso/qmsD+gb/nNS4rz5WwjaWRbqV5NS1HKlIuSeFNOSMSaYZK7sSkOgWWOo0mVD7qmYclTQYeXnSdqBx9dR24D4kxgNHgb5zxPfuTYdtdzWVQV/wDEE7j2eFzbOTndGWvxPZSsXxa69oc1l710ABYDgPi+zgKbajFPvh3g1nxKc5JV8lJ0olppDKRvVSYjQUmNvUezrNbNoWHEnefRC/VQZVuVdP8Ay1NiL6TTqXLfXlPtFQT1Iy/YbeTkwlnKHU2zdRr3JVAabWU7JWIbYZcvysu+o8RroMoCR4EV6AsJmRHdq2lRslfYaVh68Lbw1p3mvPrfC+bxsBWHYhhKEuvQ2uTqYWrLtW+q9RJ+JRUwI0O5aY2mdSlnifAYxnC20PvJb2L0dSsu0Rv0NQ5mIxE4fFhXU2ztAtS1njU2Vh0ROIRJp2i2dpkUhfXU3FcSCW5kqyQ0hV9mgbhf0M39KPYawj5jftqR61+Rm/RGnf8AFp/lNYH9A3/Oanf8X+byZSoXB0INQFCNE5C2941laB0etIoHaYTr1lApswS0YvmbC2X+HfVElhSmVEGyVWqHDjBQYRIbyhSr+CXnLLkK0aZ4qP8ASjjuNc5KzdCD53+lAAWA3AfGS46rKkUrkpQ00leXnHo9vaaQ0nckWv1+iV+qs/Vm/lqQf96Mx7eNIT8hah+P4/oC39KPYawj5jftqR61+Rm/RGnf8Wn+U1gf0Df85qd/xf5vKbbFkNrYQdNonNr2Uf8A4ejT/wDi0y41C5A0b5Gey+/wMOeLUlKFS2wHFp8UfmnwFypBurc23xWeqvdzGvza/iWOBH9KAAsBuA+M3Wbr4IG807BebfIZRdxSBZLXUProRoqTl3qWo3Us9ZPX6KV6qdV2KpK/k1MY+S9mHqI/0/QFv6Uew1hHzG/bWJPosVNpdUL0446lKSlVub5Cb9Ead/xaf5TWB/QN/wA5qd/xf5vKYTPLS340ORneQhOY2ta9uysUGIHZQsRYQ82pxGjhtYj11EL+a9jkz9LJfm3+rwMLDUqQ5M5W3tGFnxaB1jvrlSlfNRxWeoV7tYzcQQfEx+Ch/T20EpASkaAD41DdwZbAzuWelE59mB1Dj1UTbU7z1+i3D+qaec7KSyvorSpJ+6aejr/veZftF/0AlLScqktKII4aU4X3VOkPptmPYawj5jftrF/o3af+k8hN+iNO/wCLT/KawP6Bv+c1O/4v83k3NkQHMpyk9dWxfCC+0N8iHzv4UEoeaU4P7l4WUn6j4OCQEx3EOszUKLxRzVeo952VJXs2GhmUqsOxl7lDccI/NHdM2ulBCAEpGgA4fGsRwNkyEqQ3ldktaBBPC/XTUKKmzaOJ3qPEn0ZKX8ltXspaus/hQ+Yr+U08i55ys6T276DTqgmUnePldvp+Z9Cv2U79On2GsI+Y37axf6N2n/pPITfojTv+LT/KawP6Bv8AnNTv+L/N5O50FbNDxmv7tlGGc18CRsMb4SZPvw+oUxEW+qSpsW2i958DuZ/9QT7K1Nr1iPumw01h19mzHPOKh8o+urDQfGoDOFNt7Fasz8lZuEpHC1LKEJQVm6iBvPo2QlltTil805RfTjTGmq7qr/Iv+U03LbBujpdnVQVHc2MoDNk3a9hrJKa246zoa54db9ab1+cW9aDX50itky+lxfUPR++t9b630MEwJ0tIaN5k9O5H6opGEYJJU1GiqBmYiLcPNFb631vrfW+p0NCztg04LW6kmnfp0+w1hPzG/bWLW/3btOrlBaAXPknqpDqDzFi4rfW+t9b631vrFMOWloMoQ4ARv0p3/Fp/lNYH9A3/ADmsWlJSFltLqspO/nU6+ttLJS5ksDfgK3+RW2vVKxlNZYcVtjtSNft8FTMOaYD5IO2Sm9QX52PrmoivB4NqZtr9tQZciS5sYvPTGBskr4KrfW+t9b631vrfW+t9b631vrfW+t9b631vrfW/w5EVElcRTqcu2b3ppiFHJ2TQsCtVzW+t9b631vrfW+t9b631vrfW+t9b631vrfW+t/xqRIiPKYeCkALTv3007/4vfTtEBVuT7v8Amr+2D/7t/wC6ihfdc8tJ0KVRtD/zUFsd0ZbcG5aYmv8ANWVXdc8odRjf+6s3/iQ3/wAIP+qsJw73ZDvLy54zkoGTKL7r618ON/uX/vq7PdCGHP8AeNxLH+ev7YP/ALt/7q/tg/8Au3/ur+2D/wC7f+6v7YP/ALt/7qxvD52IuYjyXJlWsW334eiYDdyEuTEJOU20r/a/25rfL/bmt8v9uaawTAw+9iKjd51T5KGE9vbSO5HuaP5SrWdO4oHG566Sm8oqtqoPWua3y/25rfL/AG5rfL/bmt8v9ua3y/25rfL/AHg1vl/vBrfL/eDWMIkqkERpRabyvEc2t8v94Nb5f7c1vl/tzW+X+3Nb5f7c1vl/tzW+X+3Nb5f7c1vl/vBrfL/eDW+X+8Gt8v8AeDW+X+3NdzioReu9KsraOFXD4ixDlFzYchz2bXl1uaXszJDljlu+bXooddUcXymy0vq2V+HCsM8dzUp/LfHq5xt5ulItKZ2mVebx67X83zawhvEpLbkeXKQwRHdVfU+oVvl/tzU3l7ji2i8THDT6rhvhm7acSZCfdHbXQvbrybP7N9SOTSEJaK07ILfXcJ86+lPz35bCo7XBt1ZVvt1VEfWZWdxlC1WfO8igraOe5extk26tptL+ysQIdVyUtjko26syV/rabqj7OSgOiOoOkvrsXeBGm6iWpsYIsN7y+rXzajzZapJfWVA5XiBoqoXIXHEMhz8o2r6rlP6tQ1RnFpw4X5Qlb6s56rU/s5CdpykFq76tGeo6b6OymRgMxtd5e7h5td0MKS4HHWFMpJSSR5+7wpJBIOdO7100smVdSQT4808pxxz3L2Y2aA+raZ+2sVyvHIpP5D49XNVbz9OukbGSgK5IArM+v84vqd3RtUh5EyNsEBSwNsu9vu1EmSTJLzgObK8RxqEYjjiYgV+UpcfVmI/VqMpl1YwsIO2Qp9W0KuFv4UjNJRtuV3UQ+q3J+rd0t9DLNi9t3l/9NYqxijjq3ob2yuy6QKUMLccbl3FlPvqy241G5A6tD4WnbF19VinzraViHJH8rRbTyQOPqulfnZtPXS+TS2Ei4y53l9Wvm9de5OMP7UGOXvyZ1VL2Rkh23NzPm16yLdV7sZD4wPq2WbhwrC8r3MS3+W+PVzl28zTrpNpbG02Zv45ds+bTzfk1gbk2S06l6TlAacUfaB8aXDlpKmFEEhJtupDaeigBI8KDOdBL8PNsiDuzb/DmTmkqD8u21JV1eiUpksNvpQrMkOJvY9fgSZDDCG3pBzOrSNVGpDkZhDK31Z3CkdI+SdMdhtkuqzryJtmPWfLMreYbdWyczalpuUHs+IiXsG+VBOTbZedbqv4LKn2G3VMqztlab5FdY8FTEllD7Kt7bibg0ltCQhCRZKRuA8EMRWUR2RuQ2mwHgvvMx22nXzd1aE2K/X4RZlMIkMnehxNxQAFgPAUhYCkqFiDxpLMdpDDKdyGxYDwXVsMNsreOZwoTbMes+DyvYN8qy5Ntl51uq/gsreYbdWyczalpvkPWPjUnD8HWzGREttpLyM/O+SBUvDMSSgT41lZ2+i4g+d4Ml/DXo0CE06Wm9s3nU5bj2VPkT2w0/h6lIfCNxI6vXXuukxAxk2wgFHOyb+l12qPMa6DyM1jw778t73tlJUbV7ptGK22U7REAt3UU/O66iSG4p5dMKUNRnNLKPX6qjv4q7HmQXXA24WW8pZvu9foVS1bki5pEiPgCnGV6pVtRrTLj7PJ3lJBW1e+U9VcodSpxRORtpHSWrqFR/dbC+SRpCwhLrbmbIT8qmcPgxeXYg4nPs81koT1qNO4dPi8hnoTtAjNmStPWk1Ih4RAE0xtHnVryIB+T66dOyVGksL2bzC96FeGjDcPh8umlG0VdWVKE9ppzDcQicinpRtAM2ZK09YNOKbRtFhJKUdZr+zix/wAUViM9+FyZqLe3OuF2302833PLU24kKSdqNRTcl9pSnnMqER09JSz5tR28Yw7kTUlWRt5DmYA9SvDelv8AvbScxtxoYg/ghThts1w7dxKeu1NvtKzNuJC0nrBphCGVSpchWRlhG9RpmBi0EQXn/eVoXmQrs9de5uGQ+XTEozuXXlQ2O01IiSY5hz49toyTfTrHZUhOEYby2PHVkW8tzKFHiE0JLSS2QShbat6FDh5HblsvOrUG2mk71rO4VHXjMGO1DfWG9pHWSWlHdfve5eExm5EtKNo6t5VkNj+tSMNxGOmLiDKQ5ZtV0LR1inGWFpfxAKCdlwT66SrrF/CgwYC0ynXX9k6dbIHH6+8l3Zl991YaZZT56zUb3ZhR2okhYbDsdZOzUd1/Dw+BAWmSp5/Zuq1sgf1pyW4kuW5qG071qO4U1KxfD47cBaglamHCVNX66ixojHK58s2abJsntJ7KYgYzFZYVJvsHo6rpJ+T333cHgx3YTSygOSHLF0jqoSEoLTgUUONK3oUOFPTHrqSjckb1HgKbnYjhrCMPURm2LhLjYPE0iTKkJaZc6CvlaXqY8EBDTb5bb6ym28+CeUu+PyZkM8VVFmOpShbqbkJ3UVE2A1Jp2XheHsLw9CiEl9yy3bcRTctoFGbRSFb0K4jwlh50cq2edDPFXVUOY4kIW82FkJ3VIVg0KO7DYWW9rIWRtCN9qfxF5Jj8mzB9o70KG8V7qOYUwMOttC2HPHBvrpqQ0czTqQtJ7D8X7oUr99E05vspzJwgDafe08Ak7qaVgs9uKkm+0QkKChXdHhTiPy6K4hbzyVX22ZQOb7KQr+62N/qtUbN8twj1ZjbvzMu66L/fFcu92JSMR2e0GQ2aTpfLl6q7jZr9gVPrDlt2fLapN95UkJ9d9KYCulkF/s9BOOquUoFzlFzX5vN/dlVLhQWJIlOMLybVooTe3WaZ2UyKlUdoARNncGw3X66YmBOzKtFI6lDQ1gDcdtLrm0UptKzzc/AmmpmISI+JQC4lLyA1lKL8RWPqVvQ2ylHzbX9tdzykdJYdQv5uX+tSXVe+uSnCv7axtCPe1MtrPzvB2DzUla7ZrtMlQr83m/uyqexPD46OXyGhYu80q6geqkrxtnYS3WC3E2WreXeRfr70XB4issrEFZCoeY35xp/DMNaF9lskIJtpQlJlxXhGbuqHs7DKOAPXau4+QkWYfU45lPXk3U4rzkOIUj13poq6RSL+A7JcClIbFyEJufsr3ib+7Kp2C5GeU3YLUmQ0UJNjUlmJGbOG5OetCvG5POsKgqh35NskhAVvAHCsNSrophOKT671hDiffUTUZK7plq985UkfVbSgtn3xWGLzW7CbfxqHl4lZPrzGu6VCfe+VZvrt5HuaSr3rlKs3rtpU75QAKfXeo+bpbNN/sruoK+ntmh9WWsMy7zFWF+rh/Gnl7NOfaI51td9N/NHhdzhQ2lBM8XKR2HvdzAV71tnCfXYWqWfPBSUfOvTV9+UeF3M5G0oJm65RbhXc8Fe9HEW81Yln3bPj66wfbdL3IuPXcVgik+/CanL+PeklHT2arfZWHZN2VX8xrukCfeuWn73GsOCvejNazfbWKZ+jydd/srDduhKzsU6KHZWPgCwGJO6eDNUptKlBhdiR2GsO+ZU4t9PYqt9lYXk6OxFYyE+9Ce5l9fHwsSWptKlCK5ZRGvRNQyjpck0+yolt91ZvXfWu68N+98vY3fVenE6bLYn1WtWHZ9+VX8xt8XdxHBpLDLr4AeZkpJQrt041JmTHxKxCT744kWSkfJHZ4BB3GnGMImxOQqWVpbloJLd+AtU5E13lkif+cu2tfS1h6q9y0YpH9zbbPaFs7cI6uqmYrAs00kIT33or4u06nKa9zRikXkGXZ7Ytnb5PZTGHMrUwY1lMPcUqHGo4xqZGciMLDgajII2hG7Nf0K+wy8Y7y08x1PmmuR+5bRkZcnLDIGX51qLcAtOymE5yp3oqO9VYdNiFCcRilLyArRKtNU01CmYenDIWcLfXtgsrtwFJxfC2USitrYvxSvJmHBQNe6+JsJibJvZR4wXnI61E1NOHwU4lBlObUI2oQppXEa8KmTsQy8umrzKQg3DY4J8OTiGHsDEI8tKdrHU7kKFDiL1GxLEo6ILMRKtjHDmdRUfOJrE4slLXJ2cpZKN9j11IxOQkcnQwGo/O+2nWocgxZO9Dg6+qlwDhTUVbqdm5KL4KQOJArDmYCwJmHFKmVL8+28H11FjToCcNhNOB147YLLhG4C3hux2Xdi/cLbX2ilxPcdph5acipJkAoH61qiNYfs3FsrQlwujeCdbfWag4nh4SqfE/ulmwcSd6b1BfxGGnDocJW1DW1C1OL/pUnEcMjJnMTANtH2mQhQ84VKxjE20syHWwy1HSrNs0eun4cHD0YlCU4VsK2wQW7+ab08qUoLmynS8+U7r9XkUpac2MplwPMuHcFDr7KjxsTbjxITSwt3YrzKet7KhGI40iEn39Ct59VKxXCQ08p5GR+M6rLmtuINP4vihbEtbexbZaN0tIpyIwUpcKkm692+kp6hbwsIcZKAIkoPLzdVuFOpw9aG5fmKc3VFs8lrEoykvNu+bnG/6qjM4o3HiQWXA6sNLzKeI3eoeHgz7RQEQ5G1Xm6rcKUwleyfSoONOfJUN1IgYiiNFhZgX3GV3LoHADhUKdhqkNzomiUudFaPkmok3F0MxmYd1NR2l5rr+UT33YmGNxpcFSypnbLylm/DtqQ0h5LmIvFTq3juLhpMLEHk8usFbZvcHBuNDDJojR4psHpLa7qcT2DtpDSBZCEhIHZWKF4oPKZa30Zeo+DJZT0nG1IF+0VFhvFJcaTYlO6sQTiC23I7i/EJRwR20vDoCY0mHc7B51di0DwI40iNn2rpJcdc+Us7z4UyOiwW8yttN+si1Q4bxSXGWwhWXdUiPhbceXBdWVt7ZeUs33+upcKY7tZE0qW+6n5R6vVXuQvkqWcuyVOC9Sj5vXamIrXvbKAgfobkdQlxF75VC48u4W20oLhzLIHSPlkbVtLmRWdOYbj1/o2wlDCpcuQrIywjzjXKcRwdHJB01R3cymx1kU280czbiQpJ7O8iKIijFLWcyr6BV+jUs7LZbB8s773tx8mnDLL5Qpva7ubb/+n4M/DVoTNhqJSh3orB4UtGN4AoxiLOORznRau544E6I7L0pKW8nRtY6EUcWj4pKkuMlJeakKul0XsfVUFtDyxFdw/a7K+l82+sRhR8pxGTOUG9p0G76ZlVflapM51YRyh87lHj6hSpkTurXIxFoZ8rjoKHT1WqLLGm2bC7dVO4SzKchxIrQW+pnRa1K3C/VapWeQubhAZLoU+u621DhSMVk4rKjOSOew3HVZLSeFYsHXSjEYKyyp1vS+uiqdfS4pLwh5toDrfLvruPRGmLaeltWcWdc3i06nr41hklnEpUpEh8MvNSFZgq/GkDl0lOZkvXCt36vq9GOrG9KCRTcuTl2qlKHNFuPeyJdQpfyQrWrqISBxNZkuoUm9rhXeIK0ggXOvCrtrS4OtJvRJcQANDc7qzOOJQnrUbUtxshVkkgioUya42h54H9W+ve2YebK/khWtYJFay7KW6pDlxwCb0Q24hZG8JVe1LTnZ5BsLhP8AeZ7+ypshpbCJqJCm21OaIsCN/wBV6wqItKFqlqKVrzWyWF6ISoKI32NZMwzfJvr6E9zncnufnS1mtqFKTp/GpEpfQZQVn6qmcuCQppQACU23ighTyErPmlWveyIeQtXUlWtWKgDvtejs3UOW35VX70TDYhAIG3kqIvZHAfXQ2jiG7/KVas5UAnrvpQQXUBZ3Jza1H5EtlB2o2m2+Txt21Pw1WXkzMdDidNbk1kzDP8m+tZFvISv5JVr3iG3UOEb8qr07h0kgoeRtoqrW3dJPoeHiuHJMlTAKHYua2dPZ20uPF7n5qX3E5byQEtp9ZruYgsqDkpmWkJJ3FVlV7le5L+HNrUOUSHyMoSDfm9dRJKGTyNuAWs/AHNurGo02PsVyZKlIcI1/VNcjmM7PEoTgLa3Oi9l3fbXJo3cvyWadNu+2jYp7e2mm1FJUlIBKU2BPqpzF4cRU9iS2EPstdMEbiKkvzGncPw1TJZbiLtmVfepVJwpWEP4hsubHkMEZCnhm6qxNh1SfdKcVPKtuCuCacwtvBn4zyWMjjz1shsPN6yfxruN8Qr8kRZ//AMvxYGtYXydou7OWha7cBUTEG4T0uOpnYks+Yb8fRkj6NXspn6RftpDUdeydlPJY2g80HfUiVBQYs6M2XUykqOclIvr113OQ5BKI0ljlT6Em20Nt1YSvD0ckbXLQlxlB5qtdDalRvc2a/lt4xpF00Wn83JzAQtxm9s/OOhrCPc1HJ483O09HSeadNDase5bmdjtSiUsX5ubrNYu5iKOUR4b3JWIyugmw32qbhUcq5A/FLyGib7JXG3ZUV+czytxYOXOT4sdlY5BkT1Rmob62ES1aqSj+v9ackYXhkxMloJUnES2pGt95JruUbW4pBeWcy0Gx6OtRsUwprkchp9CVZCbOAm1lddP/APpqf5zWN/4s/wD+iK7m9qyFcqJQ9r0gEC1Iy8yLiTOW3DaJrF8VPOaaPJGDw03n0J3VNt+/obadatvzJ1rBYbJ52KrTtLcEJ1cruwktDnMu83sNtKQqdAny5zicy5ZYWVZj8k0tGJzHsOyObHbrSdotF9PrIpuXg+FS4T7biCJpbKBv4331hEVbi0NOMr2mQ2zDfasAVhrXJBJWtt5CDzVi3e7pH1dNDyGU/NCaxB7H8KkYjFWRsH0DOhtPVbhWLCBOXMjZroSvpM6jmUl55BcnqYz8sKjnCrXvXc88+oqd5YhClfKsbXrF3IkZUmQuGgJsLhFtSo1Kxlh3lsx5kvrkr85Vt3YBTbmIYfPnTnU53JZZWVXPyTSWEokOOMyMq0nmOPMA7vstULkrb/c9PQvVtxspD36p4GsBkp6aJgT6wRu9E4eovbLkkgP9G+a3D006gb1JIpMSK5hhaSSRtAsnWpMTGXI6HSoKZciA80jjrXufMehsxlc12QzfOtPYKwhMKU1DxGNzYiHdzgtqn7Kwb3QMdsmUnZxo5JKusnvLVhzjaJDcFKsr3RWMx0NNYni6mUqjpKY8djUJJ3kmsXkOqQUS39ojL1dtSZ+DqYWmVq9GfuOd8oGpuI4i625iElvZBLXQbT1CmYUZcKQm29wnxR/EU9h3KM0x5zlC31DRTt7/AGU/CmORIrZT/c3JcP4CsFXtGYkuESSQcw3aVGTi5iswmFhwtx7naqG7fwpzFMyOTqiBi3nXzXrEcLztcokPlxJvzbZkn8KwiTB2SpMAk5HTYKuLU3LCg1OjOJW2R8rdYVGjn3y2dw9ajqfQmKT1lBZlJSEgb9KfkuupXFRnTFbHmBSr1jvKilTGIOXATvAoQIzkJ9lAyNSXb5kp4XHXUaMmaXp8d0Ph6RqFK/pS2ZS4kbLZSGWrnOQeJrCsTeDTewZUl1CVX1PVWCymlIDcN1S3M283HDvYkwrRGIIEls9ahooVLVAdZmxZC9oESlqzNHs7Kx1+U4hyZLIcd2QsgajQUzBbeicmcaCRKVfaJRbq67VhMGEpIRDdQslziBU/EllBjvx0tBPG4rE4JUhzBZYJQ3fnNk7x6qTAjOQpDCBlakO3Ckp4XFRmWcTcOIMObbbuKNnDxSf1aioxURI8Rh0OnYElayOrqrBYKdQwsy3ewDQX/Sd1TzeZTPPbVexSacmvJU/Kb5qHXVlRSOy/eckZfG8kCc1+Gbysdt/M42lAcDZUcuYbjb0dCeKfGtPpyK6r7+9LbcGZCk6j66YSNAEAeHib+XxqnAkrPUBoPiX/xAAsEAEAAQMDAQYHAQEBAAAAAAABEQAhMUFRYXEQMIGRofAgQFCxwdHxYOFw/9oACAEBAAE/If8ALj2+4SXmsK+HT5b+JW1NYoLKHgPaqDmQzN4+vcrAeimgJQHCfLGiQNWjGKxyeSuTyVyeSuTyVyeSuTyVyeSuTyVyeSuTyVyeSuTyVyeSuTyVyeSuTyVyeSuTyVyeSuTyVyeSuTyVyeSuTyVyeSuTyVyeSuTyVyeSuTyVyeSuTyVyeSuTyU5afKpu76rJ817dsU8BwU52N6K4GPI9omI+CQXQo4xuV7zrJ2CXvij1hEwRetHcbIgl1ygbkFcJUpWbVyBfDN6oaT5IGxbTYgIb11T5a2XmI+G4/YgCvbH5r2x+a9sfmiyxhZGsEKViOajfkGXQjvpV5xSCrDUWhuebfwLV5otyPyafUoTBg/gC7w08kSStfNLVsS1k6tTrWBOpDvKwojB4qW0WFWsjM4gm0rEwaJTgtEQDK+ra49iB1eG9EMXOqfMnmmUsFu/+O7UM0hprAGpnuFRvyvzjcTA1cUV3aE4eXShkEZG4nxlFgVqEfMtF2PrCo4w1FiLLWojY/wCvQYuJnxoSRgMI9vqH31H4BCcRu1cMtaEInmCadzbYcZfGnPu6zcg4rK7K+fiDQOOJESucMU5aJs1mUKzmKG6OKjZIuiDRH+Vkky9l6QAWBI9a/hP3X8J+6/hP3SHBQIW6/migY8sUGyYxRuZ3QPKaJQHWLzBuNKab2F2PQNR7o70ktFpLdLalE3P2WS4neiVZBJKBjKU+F4IhgjzRVyy9UBGeqY5oCAQRrf6u2wdIbhie+sFNJYQ0HjzRJx/nPXunQyhT2ImJqSWZU9SNKgT0KDZXxRrmLfNCSA3WKY+2XFipS80F8tEWxvh0ETQe3kEvbmlvq3ktwcUZxZV8fCcPmfbtivYdqP4OTPwgqfqd91Iw+XaqlY+bMRURGMaAYrasHipfVJ3dCxQTFE/OGleP9wmkyVm0SvVg0vBWl1lOzNHsGHAGDsg2iOdejfFezbfjYgRVuSHsGCEDIUZdpWNptqB2lIZXJR4rkwcBvQEEhwz3rQjX8zA2p6uSa9AL1L5+qW6XaJ60JZWW9C5RcVkIn6si6o038HDjQtTQRha0kAevFWz0PaZdyxCPBRPMCkNIinQYoWBNqjExSw2qMujJ8MEdx2sLB5ojRp4stGbSJhONu5WrVq1atWrQ9TLgA6LOac94nTgEQkg6z/zNMHCtOJhTnOKHG1LHdvl6FEjmA8/OmDCZXN6AvqdXrvUa0cfkWSQeGQ4V7mBfjn4lHKPzLBEo0eChqDkdQ0D1JUsZNulifVbXr0I1xB9u81w41fpbFezbfjBvqkwwIjinwgGNRqE6UV0Dxnt4oJqVoyVIYfbsfMpDZGPPs4sJqzE5FzrHTtPu8nCoDEoUQ5KR6KftG/3rLHFnsSWSofJj1RI9gkbiqUb5SRb6aJfEoe0nI+JS0fSwJ3gC8StNgzfRt3AMaUxSejd0VCtEBsRRl6tEMYoTrTz2lQn4+9u316t93dXnL3Yt2AtPeCpQ3aEb60ki+N8CVse9qUpZazpSf9KUxoOjS3W6lavc9dE7JNwBgv2PRqKsUsI0Q52LUGUwYTmZeL4fuPmWy2kzCkzLwKG8gPCKRZDgnsOnh3ushufM28a9m29gwQ74H9V/Pfqv579V/PfqlRBg2YvFAJMsExKJ8M+FXgM4t7eYiq08oLlSqBOF5LF6lRTqQoKJ9QR7wx46xoxpOmExUGi0s1MURHRKMjWmeKOrrXGzzIBF2sP36VNJBLOWJbCymLDAlnEcBvfepFyK1mAiGKEyFqQWdpT1NXxejfgUcCaSNd69j2ot5E5ZE4FvzU1g1cmUGurE9D5w9AxehI651dqAkNPRUSQsIG2YofOJFNWD7sWphU3Dbbh5a6E7Ded5Gua1RZQkmpT7tE6RVIaerC9TN+GoMQy2uszS1wjmxS8/UOqrUltzSLaqYElpOsFAns2qDqOgxet84Nc1nx97dvr1b7uxOPceKNbmgDVmonObRk32r70w6DCmdmITuh8F5y93fKBDlYqfkhd7z4m881HRaDdZo4HWiQ5djQNhkENeHaiUogcvjNZSnEBkz+KFWwX0j/FSp83nlcedX32ZErc2W+H7j4VKkQmlqYDwwySb8U0dYqSCdyTWgRMdF2jgOrBJkNYpwwaIXSaxp89561BN3WvZtvZqhCDNfzlfzlfzlAzFgEFEEaiCki1AvKnZtyxRhNVKbiKHwupzbZTRKJ6GHA6uvUrYsjMYzUaN6zmjtOTJvVqXisQMwXK0J87g7xxR8Ag8lEwaRUfM0xTUu6J/KpMMRDbBkRanMGR6gRCaKTlxbEWgwQpU7AgCQJtpvLQi4OOYoX6wTNLR2CXqHxBOiaUnwYs6yxYH7p4VjrHTGkKVOsSJzIXa0OCzGhdLuaTQS4opCAVkP3RUDlOLb2aCHcRgLcm92hAxklEHWjsFpAkPqEa80cCVIjQAbQ4cL9mQMEm3YoBJloIPioy44lFfxdfxdQB4LX89X89Xorm+vVvu7HzwJ5ZJuy0VrUSCLOot3Sss9zkWaGa01sISWaZQZOG40bJ60IsCUMELPOexi1Bnamd+2r+er+er+er+er+er+er+erwp0QDbDJPFAvWZY8ew9z5f/x2aM+X6LR2yheCT0ipLZS4WjqG9NQAWhmBUss/xDsT9q1P4MRQZK9z+o7PTrCv56v56i83or+Low78A98QSeCl54yz3XFOABq06DpvamQ3UY1UZrcBhes7QtorcjCdBaj+kEkuLq4k8D87eMxM0FyxXs23/JNFyE0KtwilJIpJOij0kpwMU3G0ZSRFHCU10qpQCJzNKZjOHbPOLJNnbwhmBRQSJK9e+7sgK/g2koj6Ok2V6UOlC8XbSwf9qJzIUTLChQhOmZynmpl9d2E9Hs2B2eaDpTJ8AhCEB4KiZr/BCEHZAM1h1MTG0maAqcKw9MXYn8J5iDzpVir46nJQZ6r2U6QlG7jgvuHJQ75RkFxYrYIzpY+3ZlWznQtSCaytTqJOrf8APZnyoecTMZx2wgkbHsZ4FMC+QpsC5tSsBjXgBd8I61BoLJwnm0plIInZqMXNErppxT1WlhdMuRrS9T3FYWDpTdYFgkJaVm7PzlSCY/NPLDtkJDZ+dgYExWUdK9m2/wCSBzCU+/MqIuVMjCGtZGkLWoBuVuzBIoStNBBHx97dvr1b7uwALwX/APUUycjHrB4npRKJ2eQ81SYpnw4CShLlmOW7TI6tcIyQCDtvOXuJZ7dRIAGU88N0rN5swqLXvaPWnCxJ3OxZoZeRFO1KStEIv8OKBbWJnwqZJwc2iHVdpAL3XSZftVjFjT4fuPh9h2r3rd8DFf8Ae4bvnpbNI3sZYYa7V7Nt/wAmALNDpba9QLFJlZowJrSpNRCSOaEgA7jvbt9erfd3V5y95IzC+7DP3qJRYguYvRE44pv1tBQIW9wzUZ4oa0tSGm96kuU02cHxfcfSPYdtezbfpeLNJLH80BeTmJ96+xZnD9HycqaOJTFCWTeoesvFCbzahwXNe573bfSAfrRZWa/s/wBV/Z/qv7P9V/Z/qv7P9V/Z/qv7P9V/Z/qpI3iosE05e9kDZFwRT4WURptvBUsaRTPZuTlB96SUlxJPIvuvpUK1NCD4tRe3N6LoCgb9R1+L7j6RngfkStuaV7Nt+lK7gdk0R8haSSG5Qkdtsyfv6Qg0ppoxhWO64xQCEdSpP16/l6/l6/l6/l6/l6/l6/l6/l6fm0ME47+VpYiYWHtmlGeFyyZgK+wSURhQUpwMHcfcfSPYdtezbfpTkWxk+a0QmKD9CCteFjJ/iHSOz4Wi4naYfkfuPoQYI9KIkBy0Mkl6GIC0Xt9h217Nt+k+qfRFOqSJVpxRoC3E3/wvRODxZDQKEAjI604uY8qfyYKcktaZD5/B51LG6glpPiL5F9x9BWHIiGMhlrTsUnWZkmpWhZFC5DeVSPpj3QlZJLVAB438M1gIampIOW7LzCdnsO2vZtv0kATXniaJyQYRPBkKUet0tHBRmoCD/CcXbV5FkElzP14oBE3hlOEGjT0KmtSTtCMT/wAqwt0xo9F9KzsnbgirzQMQp9QPSHX8t8qUjRJCune9927du3bt27du3bt2M9HbseMQggyrUAFxv897DupH4YWb0HGla7YvbEevpV2WConZwYnxpjeoVCg0dRkvQ0KmKwmpddavZtv0mA8gWigj0mHWjsityr9pfiYP8LxhIYAsL78zbEVKA68yeP8A4okEk/sctNfnGJpM3Z9dqRYKYbiH1exK52QkanBbQJfg6lL9EggjhbE98QQQQQQQQQQQQQ6Zc0e0vxXtL8UIENMP/KsfPJZW6a4lb1ch2obFVzrRrUhO5C69a18c1+lUfujMbAgWAOxLUdf6tacV7Nt+kWJrPy18M1gJRtv2/iuNQrKCB1d3r/geDHr8ezqasUWMds8UkMPZkTI2Ten0auEdAz6VOEeRBwnWNaAAAAWA07UBUBlUBTB2cOH/ADKvq6TFuF8TXs7817O/NezvzXs7817O/NezvzXs7817O/NezvzXs7817O/NezvzXs780tOv7J7ZphWBX6LHvD4u0tivZtv0dYKS1I8J97B4UZIwmgY/wXen1KUetOCzHPuH4qCEKAL7JDpmt9N89j2EieKvZ1FSVFsLm2UFQo9g+Dmd2HiNbyie6jX6MUcrgnLS6vkbeFe8PzXvD817w/Ne8PzXvD817w/Ne8PzXvD817w/Ne8PzXvD817w/Ne8PzS7692e0IECPBsSUAAwfRGRsd8p9Vezbfo+zy3IoIYoTnOi/P8Ag+MiRM2IfvTxxygNyNqKUFtgWXqcFu2Zt2u5p5frew/Iw2DX1eJ4Kiuu+DMWCZ92+GNALUDb8jastJQXkxO/ffcfSFMsOXI4c17Nt+iphdLK9aFgdWB86wTENAb9c0EACA/w/TpBDJ58Rfy2GpDKEJJPQJg5m00KT3MeHDHW3FFhCBQB8BfGg8gwf3zQ1cZcc5UvjetMjF4kc8171+696/de9fuvev3XvX7r3r9171+696/de9fuvev3XvX7r3r9171+6dybP+69t/de2/uhkqVrdjNCAmY1+iXypWGhTrxrXs236LKjLu6m9MR7PjtgPOmHRQGOXEjHjBR6RkpBuf4blY6s7wKK5eDjQ2rRPlSoZXsNxoUT81nBXWPiQCJI2RrC3AQHffcfNLSvKQFJe1HmsANFke8hYmT5htdNezbforz0B6NB5TPhRnSsrLiJ13amIMBhdEam/j3XkonQST/DOvvPodw2fmJfcfMnGe1D8KREELDEsAu9U19+s/Oo5303gpjrTQNvBPdzLiX9y9zzXs236KnbLEoZ6r+qnjtaBYJNBmSTNaAVKJFagqr0uE8P1cz8gN1pkETZ8exvUnJArdjdDIgpFd4PkzPRfmRiXJyJRmhGulTVHotvEXtPPfew7a9m2/RG8zI3aHi0PjNm4VlOhVzVymJ77nNTR9KvPuqeNH/0ZAbB9XgrMT8gCgI4a1uG5jzr3H70jBbzzc5oaFjZfk9pBHzQAIzUxqXSo+j1jNjA/wCKK/ojjiOlk7zVAL0W5VulezbfoiVWJmHUvAn1oN4iOd3x+J8U5SD6qqQai+QbngS5RnfFez/qpuol+9dvk0IJXBXiK6vmoV+Q5KReErNm8ZwmLwlJvTtUg5r047z2HbXs236GZoW3nr4Z8Ki6ylyJ3fF+3xTsTLAKlTGawPt7FCnw2n6opCkp/wD6q/g1/Br+DX8Gv4Nfwa/g1/Br+DX8Gv4Nfwa/g1/Br+DX8Gv4Nfwa/g1/Br+DX8Gv4Nfwa/g1/Br+DX8Gv4Nfwa/g1/Br+DX8Gm7PlZXm17fNmzNe1J4N6FahAhV0ba0ajZvEJEOpL8YCqAMrQEgG4lZwhDd7fYdtezbfoSArYKf5cIaF8xx5UAUQ+AMfDO5MsAqRsZrA+3sVOHbi6p/2rvyVbXINk3qa1wDvuBN8LKG2w1pGPLPxpZvjKLdB1qT3zXNLvc9kEDABFN7WjLdl5hOz2nbXs236FiqfJqv4q2DHuD2efwyCzLAKlqOawPs7FTj3cXVP6/2rappv2inUNXs+3nstyXU+dT8wIIwLgOL+ncXfdR5BWF8PJWcGJ8alVPLvQUKQhyZwvihbF7IoMq17Nt+gzmIapS84eP8An8KDzKwCpayLQH2diphKuDrn9f7ZxSFtY672L21oVhSxrPTNJcDDgiQQePxkwcapNkkvUVi5MwWCuVaCMAYoY+CoBgDss11k9BJxpXs236Cmkhhr0+DNaYWfOH4J1ZlgFSZkWgD0dipTKuDrn9af7jJhckEfSM8UtB2XLhm6fGaUuUHiiW4mHh3hhVy98oV7Nt+gSmHr/wD4oNlz+fx/BOxMsAqVE5rA+3sVIRdg6p/X+5iIe0cDi2+Io5+qVq68f3TVJoDWWVoRoBpQF3dr2DfX+++GtezbfnwZACVdK0tHPFu0PcWBgO2dyZYAqZs5rA+3sVMPdxdU/r/GrBjAKXnQZLws9vE/As3j6Tq9z9DRGtr+FTlO9Ux5cfZVvAh4AW0w95rf4yk3da9m2/OxtK9RUzK2sPKrGqJN57HP4mjALPO/TtkHmWAVLGU1gfZ2KlHu4uqf19axOzVHh34wm8or+Xr+Xr+XoAUJuUTwrBoiC03YnJqwVdBpgBbkc+NQcsc6AbdVGhiWjJymfCgl6Jg6BZQp7/SLiOgPk1ewMkAEshs0cjwQZcKsTT4r2edNiO5UJPxKLAMoViYKKoGooHNc+ghUDDvR3u6R5N10mt9DZLbRUrb945fraAB2Lu73d8t+3GmM4r2bb8422gQo8qkRCdew0mYOpH57Zl5lgFTxkWwD0diphKuDrn9fWmxWZpeI9x34qw2W9cRk3+Cussh4x2hrFWczT82CUfMVzneJqPiLNobPabBUPm2xSRwUK+iDW7NXW4ACbnoKXfIGKDQl99bUAXVdrRC0GtPsalumdPzS9QYGyrHkplEKXl+iAaG5RfvdXA2QMl017Nt+bu5Iju6HnSQDvI4GxWprHgtP/MPhGrtXNBOvV2TrzLAKkzItAfZ2KnEq4Ouf1p9GmhuneSaGSTHyjooDTyq+MTJvlK2eyAwTYYcGezBbRevDyVhtkNjaRjwoLX38ouj0pdkh4uTDyoHHBZI4suPJStQwleIY60oNanntIMcU9XJUqt0u0lkHJ0WUtfn6YMLHQt9CNFntHBPGtcR8qANJL53rx+mk7wZO8iTNGrBlizWvZtvza7CEWwF9KXUWQaJQMkC67UwqEEjLP/PXsncmWAVKGc1gfb2KkIuxdU/r6NEDSEEwG1rvUqRW/kxxL/qjodcQ2Loff5Rxo/opsGZEtz198TYHMJZsfJu4apYgFPBoywJBhKRp8BGR2hl7dW5GriS7KIR+OxcbUXouwgSmw4oz4rDQvw7csIYhBy9ak25NGuHa4QfUVDqOCbhLpRAkokeyZ1wVhutr/M4MB2ZcrpUsCLIyZdckRzRyDlQ8scAB3nsO2vZtvysbkyJ0atSMc6UN0gymz8AMAlkdaRP2JK6bujQzC4DugM+NZGMV6pc1O5MsAVOmM1gfb2KnDu4uqf19Ha+xKdqD0oAmAFY/1kHq+UO2pk8xyqNeRfJXU1er4UyLAHNye+sCN0RZdenwYYIKTCLXKHu5+LE00MauBvFyvOhASC8vWTTLaYmEnVI1rSG2cvPGs5VYlw8yKfoKMC4FAXIXyil2iNCEnw9SqvP/AAwrxn9K19mgXMRqTWKvrqTJjMWZLU7K4UEeBZR9bRrhvidq9CpQNNTJ5dA8agrtsBwTWlmihPtsCKf05NZzcBWrPwBNAHWogKJuruTuoWnPhmQtdW9vxSGGtrjmcimW9zISWpWs/wB00FlutaBFiZUths4JnKtLCcRlpJyx8kSJrUBxfjxqSuWyHjkzeafUL9gSnXMeHeYmwZet6CvZtvyoGLNxzh7FoGSty6fALYUqwFJEl0mrrdKIrCTapB5lgFSxlNYH2dipRruLqn9fSCWCDgwDrY8VBCeQKGszNJTRs5Moep8pGiGss3jr+Kelmsl3rvygEyAAr2B+K9gfivYH4oCa2AgKLLBdsdGa0ul6wW5dC9eKbQaIbZGcFEyGpkZRdJv1UJTKPs8A6xmr3AydoWchRMIAeRALi41B0hx46AlZdigFQW7mLa0qac54pht7VYEsyRDe19KSVOwRsEaDDxoOPWu8iLfWhalioWIC1C4Au2FtgZlowHIUbwFF3lxGdHsUBTODJsFJlYYVIHGBVr6+giLL671OXhcLRDXgNasK3ZQMiZ46VMylp6YOaJ2XwTyJyTeal2DRmB/e1GRWAtaietWFnQQlsnX5J7DIUQtp8D2HRTRslfqbAXOe89h217Nt+VRmSyOvYQIxkk+ASVQGtfH71b5Y7V26FSDzLAKnrItgHo7FTCVcHXP6+k4sSL1NnkpGmMzgdJpq5vPFP4PlPZNqMdL/AIEMetJR16unNNUohvFSLUvWKxcPixQETaqTsypCG72+w7a9m2/NK1BP5TgqUzTdXDl8vvNTvzLAKkrItAHo7FTnVYOuf1p3EuWgDqizR9BZYQREtvq/sm1MbZ/gQj8oFbsAtZoUzHuezEOlo81uXQAcV0PD4jwYws4fS3KzVkv1UCcsfEaUF6FyNomAEW/FMRdxKuy8yM9nsO2vZtvyyBcYMHiqJDWJugiaj5eiag9uV34OagZEuxBg+7/2p+2CgBR2XYyA+zsVIZVi6p/XdeHlxT9q/wBX9k2rTuS/+BTUNnA5nxE1b38at+Za43qyEGB0hGl5fH4vfN9ew5alw0SXZDRM6OkXDhiaTqCLvQNHIyF6fQRirNksUoMtq9m2/K4mCSpyetsXftSaXVjY0KdsqQaVAYG1ZSp8rdaMPJx800XV0NgHp7FTj3fxSf13ahxnPkJl9XeybUe9i/X/AADihy8Q3ABl0mv639016NgaJBHn8RLHnajZK00DBFevlTK0Ki4gm5MNEZMbADAdmbPp/wChYr2bb8sFPBN/4iaYRXSOXgaNS0RcYoDa5KImfutS5lNYH2dipX7uDrn9d5AJ/bJ8/V/ZNqfHv8kog8EPH/AMGHuBE51cHehUWAq9XWpgkKxwXD7T3nJl6DyhXs235YTPiwa0/wBXJxRX2IZqu6GsgHo7FHCxA9rjvULYFhZ9X3sm1WNo+qH8UUnMnPIR+O+uSIRAUCP5dI/UQCI4rwSOYogZd7Nwkm5lpmlwTxOIMl4dT1z3ll6LvqbTGtezbfloh/cNpUe0MBLqt4jmruLIoA1Ntis5SG/i470L7i+nTpV0W5JjDFvkLMVsIlVLx8lM9UpC8U7slB+i+ybUOPl8UVJfsL799HyNGiEHm+lXdBhsAnr9QLBNBW31HpLUSZJpmSi6hLg6KUVh85Zenl3i9kMJBd9VezbflY67l3eDms8fRGTF33f+UiqIAWB5ZsUZeevaOO/RaW/7p20zx36xVy9Lmcw5qVMAdmd3jaKN2CgPorEJTAOlTqr2Rujq1kKooLPKSsPWznnPe2Hdge3xU9YT8p9REPpLk/AatVtL+811Bk54QIFhdF/TvL6I9o9bpavZtvyhwRSUAU32QTVcuxTjjutuTVnrZj+D5BU8Dp04/mnv2gdcSHEFBi1XJFPMseaW+jQFsYqN96RQ2HeK4o9x3PStgKbU/A000J30iwkdZ+Npppppq5RT9m5t49l4Y11Dm7PLEen1BxbNRuePBnZ0KQ/uRO9MPSKZhkivZtvyK8K7QUdC2qmlhLYq9EN4RZTsotQQST9IaflRx5zH8HHyKDFzX3/fQvBkZVptJPDqFhitWQkWLkaya8l+zH0VWBJNFyTFG7DA2PiIUhsuMPNB8Zk5UE4lsdgm5wZt+1bK8auff6/OsJOsGXPNezbfkOuDd2mK5lxpWCLTX1rCoWRHgfvSPZ5xCGpoNqylIb+Lj5KO7qKce/fPliSEkBfmKLj+dzeh/OQIkOF812WbSjxyNZJJHSgkELWkStX6I7tgfJeIXWKP8FBU5eo/AsFH0ATrNBhfekDvvZMstZ0rRX5mp+4ip8thzDv8TaxcI3acdm2uJg/NHTJ/mvr/ANh217Nt71GYEq0qTR9PUfOvuda/YLSmwuhCEoGLZda51LSzQVWJsrashCMfxcfJLnE4QOCmlUBOF9072UVJNH9sBy148IAPpuseamMv6ayiZXQljagDFDgbAYos+xTKAmstP7UZXiQpK/RZ7pznj0q2H1tf+fBeWWXnFaKuPQjfDgoV9Ep32gi5b9xUKBbhp/OtoAe8Y+K+Mh+ktHZseNy9o9KP9Q0Dl/NGPr2aJpXrej0r2bb3rBw3rjsUBgfsOyziJEk3P0peZTEFqywrPWjH8HHynr0qT3T6d4oUB3bLIYphSHigLY7GBsGPjRPo0bIy+FTMBG1eWhjU2ToBAm2NRJqv0YlHoMBETfarpuC6wHPwX3RV0ouUffExGQq2zQsEuX1cG1RcawvG7oWz4zSZohyQyvL8RxPJIY0mRlOJmhqHixSl2Zu3WX172HbXs23vbmD5G+1eemB51iIo1CdWha/B07uK/ZLettWetmP4PlRKi0pM614ndrFEA+iZcPN1RapthyBsxlMWG6sJSswCUMFgXmpysdoo8QpDdMpTqrdev1aN90UEjXlGwfurY8gaWP18lajR5Z+n1hmU5SCgpmwknZHxTYSiXbt9h217Nt7xYJaRQKzFwrDlBLU/jkCueXgoEbLCN2wbVnrZj+Dj5abuiv1bu1SfM92jzZ0oMRxRGBm9hjRpvlyWkurEVAAZnKFkN1OeP0NMv1eRd/OVuwzwspwujIL+I8msp/vrAVFoW+1FvFTVn9nVDomnYHcSINyNzl59vsO2vZtveLelZmxp2DC9PNoE0flCWbb92CshSMfxcfLu0ZMz/wAvdOAlyOCpfnJEji4U+dUFrBDEi9bFDc4sksh0pZNaOXeq31yav1jfCOugnpK0k++moS1FDJETbF54Dyo1BSGf1deJn6MQDpSY7ECSHpUbw63xGGvf9+zL075GgixV9DDDIN2lezbe8Trkg2alLRCyENZG2+zabEGN2skCG/i4+XCQcrgDlqcteYeEe5CZ7aJcuxTRMsTYFmSGNIoXpqoib3CYcFTAKapCi5Qjhwu0eyWWM/WTiuP8Yri6PYLYECcLNzzKxUWNzgfmsJIoj6sGD6DgQfCrnjkVbpdqcOGR5bvNM0QFTRWdoET+00XYmvZtvdP0TuS0kl4oBTiblBizbei0WSFuV0p9d007hfmJbQyXAkhKmiK88cstdO4AeMlAFT93tQwDAm+LlQ7OEe3GAevNGHm2hSyiuTmzDpgJHMCA+lqCWxVv4oWzODg3745KZ6/ItxamwLQbiI8qh6AlqSrG9jnNHcg0miEL56agEEy25rA1yZHiM1BYug0AZ7HrPyyOFsTFe7PzXuz817s/NBslNiwj9T1S6M2/VtXs23ugIXXBOOxXpMrBKJ8WhiXzH8HHzTZCY+E6fWJ7hYKcUZtm8N1AsTVAyXSKJpIpzwDylaimUGItPiKvY+O9e4otNLwkR8QJpxtABLEzlETFtVRm/LuVxc40yWpGaHr8KoBvbMDYEGYwwS2uJnbNNB+aMSb/AMRRArFoSes4ozQKoXN2Qtvtenxuy4TothZiaNEC5Ge82eKtg4yHr68FLAHbUIw81IM4QBvRGGRnilvXRC7GNJ1X8vmZYQ5ps2uKIltUf3yCdguhSyC2dRe+uDwWFmPiMY1TMTWXzX3AtOM9taz6nXtmN4U8YkpTQSjpZ9T8boaLlzXs23uUbASrpRUpWVQUFlnStRdFtVl+cmfm2R9pTj43HL8IWacgHATceKaSdEG6Wrel5GAFhg40xt2jAAqV3qb6MjSwah4imjWZcEPzW8P1YbBO4YHWrXveorbJOCdjTSlmFaXgwuJl6VeAa9AXIN4SOs5qGihSpxA3hNDAkGHAWv8A2jcxwa1CZSDwKBywRHMXz282gPbiSeQws0FYz3LjffinLOISMuNlEZ3tV6HGDIhHFw4+YWt3ajiNtR+/5q+gaeOfCtft96KADgNDaix71TCawSfi4U9JSqWMy4omRd1PwAZWA1aCY/WU0IecIoSQDqfUvOSRB2a17Nt7mX8HRE9mEvFzf5ybPoZfefEKpUCUSuCnItULBqhPKpU/UeNHO0ZiGkjM74dRcUAgQHabis0vRemIGLwEIxOnFESESTWTzExtmkqTmCAW2tpUqzwljRXIFAmrmKizMptUtjEkb0yWAwWQEk1BrSDOanX596UJaiJgUbD0z1pE/IqydsBaYZvnrSvCJN8TpbxrOimGzfDXzpJmu6U0hCJzTNASZXBuVZOZpyLS9iLGdC3PD8uNhATRpQop3K08B4Vmn0+xQMMjjFQyxOtExjopQE7vmMZwgaYyAZI0s7jU2RbnG71n4M6tYXzc8VMtFMoBlZtLikDMW1VGk6c9KEeJSMZnLS+CURQ/Q8OjWSm8yoGnLkRoIRe0ES8N25Tyc4tzDn6k8nNqDOlezbe5HyQhpEDQALxmm4V++h3foLMoCw6PFqYkBwA54g2iaQ66u4qU02SOaRuKSDaWeSUtMmnwkbWbFgzMY8agosABsE3zpQi/ZJiTO7nnR0CPbAlhtMX3rA51aHkBjBg8KhA1I5gIHJraIqCVEFMZbEgtEeVEkHIgQEEywMwXIw0afN0ARzbLpSbodZLiAROo7u1LK3YmWWJZ0IJvVgikwubyfmpCbClGLbfan1kkhZsMFzDDqFbf9EWS831uflx4qgq7ZZUQLBWV53rKxwNj+/tTREEc70up4UNNcrdwO7gjluVktN4tKSwG4zpQyMOOSf8Ar4J/g2XktYxpRwgMbVBZvNWcXxAQ42luaOhkSTQthbfABkawkbL2wE5SiJkEDYPSJieaP5hyTrm+KDZfVy7z3D6lrg6ohkgzNezbfozwMTA7CllgkJ6JO3wECNKYCizTuzSFowRN2KgiqTdQXVWNAJtNWbFTaRF9PhGcUoEShA2LGd6m/Lc6Cza5ib2mlFRCSy0ljppTTAblkAhn0DaFqXM0X5sOF0HBuTSuyYSITpIziT+K1hoi2myNom8xrRoOElJQsJCM4tzT2IXflFL8m9sY2sCDJaAaUVNApS3EQ9PKoskoesNuPelQARj1JIJJNRe8hDrhzJkpshd9T5cwzF6gl1pWF1TsXTarY0Ys9z186WEhOtHUu7GlEWLO7PSFAkTaus3d8BMPL4dVnvDSHLoo7ioVHDNE3SLj0qIT5YjaRY4+CIcug3QXHpV+tXioIoVEnsORtIMcVcxkFy903Xr9SlQEsUxlnxr2bb9HZb89Mn4Pr8ARorA9bNqcvOqpB4BinCeepkviIaCCD4hkIqqN27QWwG7GgsRStyQKmCHU3Na1FcTKamN1y+lQLKwg6QDpMwid7IItkxkuiy6sBQJQGWFtha7QCzViwbs2pfgrBdBjJYNqmaDJALEqdb6n7VKJzIbOkp2g8KV+aFDmHTxpmhF9c32ioBhCqYbhZIF48lRRNCGqODXVofLsXlZTZqHlPGga3Ugb7Q+hKdOOnPMSm0Yv2CygKQhDrXpYNC3T2BW1gsS8UPyLrlRV7Zjf6p7Dtr2bb9HdZOf9QnaFpcqwFDzi5OChdtypNVI8YE1iDFCPjAqCKZ4p0hGaQsYPG9SQIk16VIRBBCUkHliicRlgDAlnWCtOzVsCPE8opjEEkQJj8qMgi7YzDUByzRvZ6Zpig6PII5G7qb0ch2MC3vzq2URbRpPMUeUgZrrx+qGXdCF+BdLrZp4xOqCwCnEfLm6w1DMODXoDVOrZR1BFLAPWrrvagmthiggipBDQpshnANZZCc1ADDF1G4sxWyjAVbD96Y0Ccrs7XR+Rx91si3HSZ8KgmIRlI3xPvTByIfU+LcP23gJr2bb9HvS3n3exz2Xb9WCxN9iWNYpmAxowTZhQnSjuFk2PvOtCTFgEHcSHiiJ0xjWpgLnYHcZ/qoAGlbAgz2zOOKkoSNgbt8RzUc7GQF8hp9g4aBdlmi3RzrUCCKhbrsXKkgXLzIh0EoREJRAyKxPNWCsS8wSY2kvrNSYmLaEkWeDypscizHWuE3xSTwScIi5GrimVV+WbU52QeDUNlUIV28jOfmEmTemXVqUA8hQIHhUQoS5RU6cBRPq0rfIgKagQ61NEkU6vZtFMbtvICourhvAU2+9A1UEXQx8jArC/WRfjQFscvgfaq+aAr1H2+p+w7a9m2/R0MhJi6c1rLNqRZT01ZdXNc9x8GXjImG3SoYZypgO5s6khOjQSA2hxwUOEs8gmomZj10oGwcaQnBOIMSb3o3LZsGEuFuiXL2dsGXAdp3/NqI1SyKazNiWxtE60moC57+esq2lACYVInEF/cShgG4x4vF9FsXYoS+SIY1orfa/hjNOQZzNxiwuax0qHapuk7quzbS0VakoDEfBhDkdyr8gllfAT4Gt/mQEJNMyieKw0xWKM0EFuw2WKIFZRUJbW1LM5itqCBrC1qp0mhTb79KgKQhFEv3FKQ/ISziQeC+grkgnWx9qnhdY4CfvP0tYKQzjEAdlxexYKACMjhKxJASiXbt9h217Nt+jKDs8bC6UdpuCLmKE46ig73rMxHuaWvq7FrbTwio97lgD5GG1Q2qG1Q2KhtQR9Bm/1WpYBDF6jDJFHiGVTGtsndPctPylyxXPWtS0t2L1d0e/4kIinAzM7X6EbDUcVkdjbmL8/S1Euj3Bpooz4bUtnTjYIlyMs9k/DpYAYx1VPd/qhCuk0leyVTkXOXn2+87a9m2/SLVQUElFnx869k/mnqNC0Fjw1irsOxJtrirCPocKwts9adJInQYPM1Fwih/3q5Vyjsk3OtBoQspp4PrTpKyzhvtlHrR/f6SLhfBMeFWkJkOobUs8WBPsVXZd9EwJrPWpl8iSabYUUUrPBhHUn0qVXwwsO0fvRtAidsQZ3nwp7S5l6y/6U7EZdstHKK+AUzhpHrQT2Si05EE6KJb+55po6YHSpigoedGyfDtxmgSNuNlMcUzCX0DijluU+eAikEUvYi9qTgQxeokyRVrAvamAEOtXCEVj4M0ITbvgCHkeDu1gtaqmD8g9w28Caky4NvNQcrw/SwIV1wQXlYpIGGYy1u1mrOsBknZtSvnuQ30eJtQEkNZU7h1ste/79ifurZWgbU2ykJPBpblSsoCPpBLpD8AGfL4XiYBFifWgkYIfAwaJcc1eLlkqVnxXwuMoHIHwg0BwrxifhIHWcokpKghgI+enzDcoHgbXp6xF7UvAi16hbJFc/e1XZ0xFR5kW75QS2CjXhJ2tlpRRuGbpawesZ4LDvesFkwYZm9JJCIajAv40qogI5PpV5hCdp34qVG6jiS4KSM0N8KBMDKiNpNKZ0UwZdV3aUpIdKHPw4rmK5iuYrmK5iuYrmK5iuYrmK5iuYrmK5iuYrmK5iuYrmK5iuYrmK5iuYrmK5iuYrmK5iuYrmK5iuYrmK5iuYrmK5iuYrmK5iuYrmK5iuYrmK5iuYrmK5iuYrmK5iuYrmK5iuYrmK5iuYrmK5iuYrmK5j6AuAPWrHZi9YcLMlNQIawMqVDqgyIoyUDviFkpHFIfssMoq78DfKtREFM8x6RV7vYyF/WlpxmboW5ZPER1oBkZHU+p3grnCzZKP/ACKxKHt77kQJjQiNgdm665XYlEqWMTIKFlbVPuWhRmyxqft6GI1KImPtZUYuieaXWftsRtExfem6wlu5Om3jNOxzcDI5vSKCvArEoXtb7oIJCScOBeijlK0xjo6gqI2tILwK0GtH7Azo4gQ3qaN8lJuFJ1w7WuxEx40rsyWztCJ13pKZhMwBOLXdZp9e0QANN3pFSWgY1J299wWBqC/MQL2pIadq8zsSJKM5VA5yLCtqnSb2RDwGlOemLeQoGVuOvDC6Jd6JOH4zhYRPrTTz4sgElFs81DfmwB1zb6RSMlPye3vvLQiwTXiBfs3AfHzClJ8FWvq5zlwKpumyyAHQb80q1shnyAqCQjbK4uieaZmR9KbAidd6XdWklkJRanvhOItCd11S3DI4dvfeWoswFZiBfs3KbUzEkiaW4ywzlLCqVd7MlalFs8zWQPgNvAG9M4n3M8aXRfelvyHUWWAD60rYmJC0iwvxTpLjGkZGvK1ekfQN0N6f3lvTCCggJFAFrUwOm7TsbNqvSN1LxwFSpSd3rtj7U4t1fsPRR2QK2Aivf80J8XI0WGiBkwrsluUbUBwOYv1CKW0uWFvx6UmtPaz6UTwrq8eFQOT7E15Rx+ynIa5VPwhsD9MUBBYFYg2z+L28TIEnYgESR0aj9OhBTKdUwTDTMTZCRrjJhtG1M4fH9ClSXKfQo9bfKsVZPb9XtvIiYE9iTZo6U4CClEypgmKcCTI3GuDkW2jpUsvv2eVKsuVl0UxgS8hq9r2doQCjMCexAIkjQ0rwEBV4GCTFMhJkEjXByLbR0oeW67PKlmTKi50oUPOOZUe7bdpACjJCewAiSORoGYsAgq8iFJMUjM+QkaUmaEW2ijpZrs8qQLZguURC6sTZevatu0AsrJCYewCgkcjQMxYCArMYElzpS0j5CRqQ1CJloooK4UilAbSLlCDdS1nXXpH0QYjSKeWZpUwszrUHpaXq1ANJi5V47mZbE1DJQ5CRhoVOSfBsA2puv5X91Klkmu86eNvlXnQn5JDG3GaiuK9gnWKxcXoCDnmlZU3f307Mug9JNfu0j1I1NsPa1pLiYAm3BO/0wDAE2aCO8AwAbNY7wDABs96BgA2e9AwBOe9AwAc/RC00mpsyCKj66jZwoTaaKnzM2oRb0UDBrOK6funMJzzwlqVKBNsXg2+OJbkUQe84AWL/ABRPKSW4OlFEARAjl6fEVCCpAaPpLzQhuComOl00QanN6t1q6+p8pQ2j3HoAam/VLO3uppRzAMuCZmr8hRIN6DuCyJKagseLV8tQZt9KlCrscLSFStkE1bs1YoMdlzwx3Li2avfEnIfaOOeyTcmMyVycU2D+4DgkxLur7ab8aRq18qLqiuaIjEZdqyjK/iuXsoc5me5m3sHinWrrUsLzg4oKO5dgkTJeif4fmXW1RKm/VLO2tWNalgew9CJ8eZImgTBDA616CilGTNFifC74UWtSvnE0kT5V1grR0dTajEcWa4HWdK3s8wfsAKa+acY6wi/dCZQN3s+/1f5SYmin4tQUk2pm11aqCRArQN5meuvhQB1Tc8L+cVqi5vZ4MFA5mJcwEA2OO4mBYyA8Ay0ho8rBqsPT4U4GjsHMG1ZgK+N5vTnre4LQVdFaIzlGPgktZ+gsKviHxsFEmz1jTN9Y4oZCcOH6P6g8CiiBdAcrTWV3zyinZZGwSZ+zzotyRg5oAN6nfutuCvbdu4wyC9nFCYCbPUOkVKeRLgbxQySY7xS0hh3lBTuQJ4CkmhtxiygL0Ki8oIl7n2najB3rhdL/APIJ/miQxGMnfl3YDHMDFkKOimMRpRf80UGogi5yEdsUL1nfSQh+/l8fu+2gUsAZayWRF9AzsP22CdUVIEUOEf8AVTEm4hCkpCiGr4F40hPwKMruiS8ZnnNvApYAEzoZvBl4VLyKnkJQmLrRRsAVGALeqfk78w2rqSU5QLxQgJYmiwxi9HehJrCC/rk1LcbdRlPYqFe4APkCuXUArCBZyPv8MN3CNxhGXWkxCIA6tB1ohidYFqPgUAjCaQazxntbUTjeQ7D1VrDYq1YSzyzVIn7UawC6hlPWWmlZ41vh4fSFJSl1e7DNT5U5cEKd75rN5ATNDpHXDYbNNKxRhTV08PcIBEkdGkyhSvWXodat1IwsKSPKp170bBBREZZ0ikDTPdGTgxEomd8UH6AjEc1LRyEIGiUMoWGuR357rMGlHNQnCTVDOaiyWJOSN+avG03ZVlNV7oHhcaaldOgsF3K+8W/c1T0mrlMtlp1rQGF8fHMoGXks0cBMcBjBNSsRvZKKZQhJtQSKXDzHINCgcf4HuNE1dAHG4OlEldhUtTqcUSlJwXjs7sA7kEB7YNFu/lte3qm3WojpvM8nGjTC3G9cNB8UXTrQfkX5JpixIpwqgdsqO5wHsoh5yqKZgzXCB3F5pGOZjqjeK4goRoXLPwr1SZlOrG6rFH9YLldHWn1l2xDMX97GzETDegdnwLuzsRuYvj3F9qTrHgL4Pat6EAy3gImoGQDskwlx/ub9y2QxNqJsaFYSh1phcPxPJigIICwFe/7/ACRMsNIG26dNdNeCKgUJtU6opJi5pnsv80kDtpgTLXPIkkSUq6EjFJOHkfGraSwZWg5W1MGQNLMw9uiq0mEmA3puoU3Da/Cp9aTg/cPpPv8Av8nBWhMWLUmBSyFFh8TRFJUk8AxRkBB/mpJwO1FVZZ3TU+L9lKJCrlHwoHnSOXoTDplYetRkdrFsgaKgPTlfdZTWfymxNQ5GkeJGE3dlQc8UIsPHoGpwu7tLNCS4t1oSWFOtO3LQnYug1CiR5EsuxA6zUUBjZAN1r0/RY9ZStSJdQETIe1oX+AThSxoGKsHLlFskUXLsCKjabLSaGnxwWeXCVMzIbdi/r9I9/wB+4kNacgHjX92hJAbnc5r1nCselYxP85dSS8al2oEN/KGddb4tPE59tzAulI7ixvILkP5qftQyBom04qE5Fe8ytqHuy4MtpsgcVDzscptaKI+IUIxtQZca8kerao4j7wkbVfhulpbqhvQh644vIBi0jq1kruWkJo7KNj86xX4U7nybh0GIVKQZybQrl8UKp9RYyytIKks6Zlja3RN6ufta4IJatwqzsamzE/n6R7/v25ut512DV4o8SpkLPJzoPWhA+WSP2K9r9FTJXs/rolXW1H1Kjh2l1zvP96j7cL2d88cn/KDIp2RMJ3WIzinFYuHKgix5oZ/0UCqhM3x9Gh7kk7C6TTSBpbPQhnX4wfIrmT0M3elY+ke/79lnpXF38cvvQaPZi01Rl3fritK7mTuavPx5zVPqcsNTirdX1Ohz1cncoZOgpk661LXG1Jqg2KbUrtid6Mkx38bBoQp6p/8ABff96CmGyL/kNIjJz0bH4ioAvEgNg7mVEkY71PM6eFW3RLumfzz1+PqaxT0LsWXp2qJYYqW+Cd99ktomnZzBcmobSj4lOp0B0PUf7xHh4zkvDuMizhKZeRjigw6kH7b/ABqikjLEy6nwmRamusrx+nlS8wCU2GV8WzQTWfsRmBtQTNvVPqoqFs4UCjSsoETFyd7JALxtl9ChkB763yPLSKWTTsIT21/3iFVOpEGBxXtn8V7Z/Fe2fxXtn8V7Z/Fe2fxXtn8UxKz0GSmde2fxXtn8V7Z/Fe2fxXtn8V7Z/Fe2fxUy1LETiB4j4W8HwCNLLhIND9NTj4ixmmXsTBHFODAUsPKvIAz9V5X2fqhz0f8AyoxitUYsWCQirDANC6te8auSTmp+SvTiaCK8mrAfhW/3j9c1OgDr3D0Tk9EEvlQySXPjerUgliJdD4ZwoLoCVpC6kW4WifZJ8XltWfsWXpUbJFJMIpISUv7tQGwDNu9w+Tk4M+xp9Kpq/kCix4k/3GPx9WDoVGIRmuMkNYyTbVE4KbiQJw9xsxLkm3rdUCcLe/VW8PilaYpl4OXBWHVyhgkpBzKQOH8UTajcgde3Xr6G5ef2eLW/yfOgPQg8PiNTXSr0I7Fl6dql3TQe2d2NaeWlMWpCOMAnamS4gwnE2U4ItkSwQulppxU0ITTZ+VERYfWk/wBwr1H2/wBw4T2WqbkPdJYdBUd2Q2vB4UKFdcAJJeKPTEZEwXTRU4PTI4RZb1OoqzpjDh4qRSIrwxAZWlEdLJy9HaQiRFHrRHzGLC3nXjwo0ZFpA4T4cfCyqW40aVI2bjAGmmNKNYb1lpXHGrC8O1GuFsTy+ZY6JQECAsHxjInRpsJdtRnhNtKupnRUAwRREGY0EIO7WtgGpj1T5UkiKyEUmWr3whdSWqSNBepuOtS0UkQdGlT8wvTY/IKyjKmTEPev+5wFwDOAvRMUvmzCwCbpRTLCxOUulPpTH3LCcztrba1cLyfJeXkKtD+wIlcxnNWaVMx249/3oTa4dUZ8K1Sn0BDQm8hG0UIJLj8Ci9gJVzSlHsHN2kxw1En0fZA2vatbWMfYDsH8S8vJnwpuUgE93x9B3JkAagQDmpgXgrFJ3sp3oLl+wx2HhB0gVu0J63q902UgTboqBH71uwG0TKoo3zCQ6lXB+tnQBC3QNBw7gV6ZD/s7eEkJGrcxiQYdK0GtAfJShjISkTpRAOygn5Vnk6BdE0CEJZg2Gr3vmyK4b8Uu72+/79lx2ofvWpVtvTRPQ9VBohJ9CdTk+GL9ml1z0OI8zTER0DJ3aiZIeBHxmSgKhh7Jq9luqMcRNDPfXdrDeM460UYAkF038aiB0rrbmumzpKR60vaQ+gxXVhEZj9Vcy0hNOj4UCj3wfULNCtoUmSb2UCjignI9XSsJ3tIq5BGIu+lEsWb/ALygqZIRBD/rzkNdhgu/Bd8PgTFtr2X0FDeEhi8k3+EcQlDlQTmy2z2e/wC/aXAoM8BV6DTAT5ni86CEdhG6YHJ61rBMLrYZHh7XhNiErYZXgqfzJ+jjv5+VZvWna7bHTyq3AY8wl8e51goTmTSkwtOrWzGhqK0DV6+12jjyPesXhsDHsmWXb408ZVrM2mTx+JrsVhT5FLC4hcth/wBfKeB2g3XW0UV+ylZLhwbFFGXnQgLCUoRCzoeZlxNYaLIQESTv+alswIJsQtVipbqrAyTPU5ij92bc5hKdRp7qBuECJsbOKuYhnjYuyktM9/uiKizCTXv+/wAKPWtY2+Qq95VZxHB9xQCySLEmmU8/Cnmcr3kcdWelGk18JRtOHgnwodakAeLbvcBYQFJQo6pMsdkAWiFAAmaRNdS/InerqulnNlg8aJsaRJH4HCAEqtisbdMp2/6UWYIcDda2viZdJz4fBb5eYN1oqn2K6TnwoMisECXBl8KYBjCklyZPH/XRayHqS9ZoF8JIAshkTelkyG8BVu2oVOFhkcTxVay9KTXGxB4U7kZI6ZOJoTBI8Gs7gmpKigmMuheaBccXpdFuUClpiRBJtZNB9s8F0GfCCl2jLMeKC9h5sJRAgyvAnxQY6L8pspk61sUsTzpd8e6fXHFM5w0luFCCs0SSh0VGwrUHGFEgm7Ur47v0NtCj1ijVeEDblXkn0ptqgs6R4CHwWmME4ZJtJkk8air13A1VjeZrTtmGdidbxRUu7xhsNIcVgTZ6J2rcfKTjGMzC1DtTvIYi1bqbyIeTRk3i01Z3eWCLN4t8SwzOpBK0f6iS/DyNDdTGyHYAdA5EmYoxawwQ1+NkXzcicpA4n5SZnBep+jUuqU0RiWioyYmoGkae1zUAU4qgoLFQh3cfIJzooD51jfTVOA1kCKe0DiEXLyfANlyMk2PMX8KOTdxra1N1C5MAukh8RSeikoCdjLRR8QQODt1yb0wI6w0H/wBVZFDRAnjRV4ioEMjSfuopQmJWRa2+3wZHKX/qoS7kj6AfGp9gsmYfpi32Oob79a3pew/L41YFozSRuan+YYygpVlQGUUU66hYisjUK3V88mGjfQ0Tib+S00IKMg66eNOziEBEMmveYSXeYMfFd68xuusU4AlkdaySlJfI+AKhoQkayk8cvkUjbND5TR0q0PlHaWdIjgmvDNFAg9W3jTNiuzbtFFeihoS+mPgruTZPKBUyQLikRTV1NQlgen+YwOCKvByBqPLqJ9FCaKE+YxakaaWhAHW6STwqaDW8JpDYRCDzEhHT50ckJ4kUlQ4LRJc2ihpmk0AbzQ4JwMJL6YKNAFbU9JTWDLCib1lz5G01Nzkt/mQBg0mnwKKSnSalY2OytzEorR/XagR9AucAeO97uo9aJ78GeRD0tQy7ESGqb/TAWJ/QMSmE3vpSLTtEPfpRETZrd1Vy93/yrV3AUriBUF6p0ovPLeiJU1GCOas24CtUDZrJNvFAICPpoNgVZj0pd6omlwp225Irnh9vod82WsgVaOFo0LDLIk00rnzc0NM2+AvK5FkWeyS2W2RudptdzWl3tKFbEWD80IJjGCSaNKnXJYyVeje7uwdK5+NIiTsNFNOYhx3c/ipbBKtTkERjR1PPsWUYDZVNcEE1Y10EJVyXYmuC8mvB86Fdvl0j07rCZdFBQbcXpHD17DkhFZNL87MV+tJqzVMtKgZdKZM63qMWArP1oHamqkJ+SJPrAMT40RElwMj8zaroyZPghChemUADxgtUHkzOASmNFBSm0wrTjKsxVmu1t3KMcU+XOoxku8KNDjIDQ4tKEYBeBEzvdikD3o5TJuGttzxEAY5VEPtHKPTFQTQAQhcOl0q8ECadJPnC7hBuAfvWRPE7bx4hCs6ZrdPypRE95gdcs1BhKMq463xWTYLluQuC1mn7PFysykYpkETEDqmnwOVJVoxh8LKc6q44ilLGWEwFhoo4JEShWXdzTF8ykWCERTmhHIDgtFrYzRZrWKYs2r3PZUSJZ+tNTya8I0BrSoGE1UNJTW3E9NRoYU486eba1I4hk2dpzFqcwbez0Zb2ompc1SwOQpwcNbB9zeomJX8udRLapiUQugwbmb1oyuh9Ln4HgPU5T8TS8o6s20cGKspwWaci5p3IGGHmov8AGiyQPaY1mjFRlfyyZzU450oWBtOprRwMqiaCHPNX/JXKzLhfAUhAq6zbOQAqS5ZgF4I8qMlAAdJJpF/qVFIFy5WNircc2lIHQXqZ5RB1JNKSfpk14ja3NQAwgzFj3L0OvOe4o7GqRhKQkmxsBFiVppEVBjIdlyoisK/f51uNihGTutIAZdKmEa3qBkAUsBli1NInM0ip2+SH6nLuuzz+FLKb436eDPn8ylKcRkHwVVVFqZREQJLb1o4qQ+hRvrCUGOA/unzitcVvUrUVdqwC55JpQRuGlrWb1F0LYWPMb1EGHwTK1nSo5oxZ2dQeKupucj2HR08aCGiOKpRojNj1fOFrd0kSFtaAgYgIkS2s61YzLAnCEeFFkDsucsmVW5HA9fcXNHlakSTdk6DMVeg4ZKicJqweBCBEHRlxSEZnWMCPXwohiFWx0gUEAOEA4N3ROsTUCn4wqxqmun7wNBuNEg4wYyGNmXNQbMZFQTrDLoc1d7A0wgmgrRfSRsRnsaYD41dk7NBso3p8MXVgf0CAieirY1nzgmLqb9BKbyUWjSr5PTB9xrNRZZ81UTkpa8xt59yho0AEixaXKO6HxlLVu3Io1BZ3c0mMRCLLuRikQwKB5lFEi01i9HI5mnwjBpgj0wnVKS629MRkQ0axQoqZZM9zGL1BL28uZtFBkhjygKRnFRR5EB9tZOelenQZKbSa1e6gQHJBed6uhYRO9EFjpsgm2lGZPx23saXqxwpGSW3ShmMYANBMaOaeGist8oMU2DwBBMHOC+JocqjpHMwjDQ9MTTGyw70O2HXuiM/Oq1iC1IgZdKl7ay1bgAq70602J1vUAIAqQA4VIuPkGFhyOhSh1is7laCKtYMA/PXHaNh17LLJE5GjRzeOPIrG+sIeqoRLZ/dVk7xMHwrVg0UelBgFyAi+NLyNCLLRRUYICWCgBzgYP9ZONfFqm7ay1HiAFTklVGnNntv+a5NakKW2QbjT9GWLVPRZmWjA8fIXbuBs2/Wk7lwHgD7zTCoNhqzfZrGID4/OrXgFlgMxNDj9HgpQ7OgFCEBo0uByEJ6tvGlBgcnDeaVztFQ1DWlE65K6mDWgLoFr1xqMAdCFEs5q/dYZr8HjWcB37SxCYbNDRy4+yM2jmtj6FXo38Ky0KOJ2vrRpNASAMts9kUE0CROtB6PJkwjkfqrIWkHgb0Gf7RDO1tac4PTDZYtspMF6Nejfwqzy1B4BrR1/tDE7UGQdGPVt405xwETQeaZycvbCePkyIwyQqrgAursVAhIEg2JMb7/NM5pSYcolswPH0mREOavhXFSErDmp4C2WpEhOOyRFRAoAUgBli1Nu3vX5Pem4anN5JR0fya5KO7T5IKJARQQR8hELdZwT9wVKtkFWI0kz4WP4qzxBebPmJ0ZqwM/B3cYKC72CyBKPGoAkBZOXFo8as7au9p6VCV6y92crTHhQKd75D90VZ1WRhGpvV3YFTRq5gCRoqkd0lZSkgwWq0/hJRYTcQWqQWzxmEsSjWnUpytpGSXWjQWmlthTDZSBWmBASg1Jb9OyCesL7hG1eruwYV2hqM4NpQOrGeWrZ0yGEbG3i1ANycvHmsYq7g2105oGzihImOy5rS9141rDWbxKb04iBS6UV2x4VLTNpNhIeJoB6ykRDvTNOqdbVTL8kqAbouwmmrm1THm+GmNQdbHaDIBdXSolpPkGJJr2WYNLGluCzUoRNmOT5IMbJvBSGfgYDEl7Mu+PwJvWFTKCMvGubCaddCfsJW6AGq71hiZYMLFFbn0HdGkqU6z0tkJRJHlU0RpBzfoJ5VGrUc12KXtveslAFO3LOlMlhPuDmnGw3u+fyeJRVBZc6OO/5Raxbd4qw7PNn/amDHetXJ4R61HUQ8JiKXKvHU/4qXrQBwP2fOoUpc2/NZ+2thqYdavmTGOSO805LXHxeT5TUcEk7fPLyv6UY331Zu7NXetQjwKEPA0KfhG7zIycm1AcPsyGrNG5Sg5My7e0hTb+EUcyfKr072tuQbkX3oKISBppLrrFIhmlxpDqqJIB3VhJlq8HYSYJI2kRz2GbTAEYdhvUC6EIB4Q1pJ8cpqdHFXCzIckJ/tStEwLI7GicmMSU8Rau7yjBKS860gJW1Z4gotcfcjlFK7NAyLAn0+QSxI2zBLWsstq6EsWN6PGOtDBgb9KvlRcR4Yrk4S2xZmnsDC4V4atGgSEI60T+cRUbsVFtzFF2XImtc4q3QBsY8cTPxwRWtMSQ17qFHcpyDNU2CihFZ4AS5fXFEc8Aim0NL0th0wFaWh2MrMp6u3LUqSmUCBH8q9Aqy3oF0WPwK7FlR1g3/AECCOCgSI00ReldPaJBetCwpEbpREExKgE1paI80M8CKklToUmIvLSIHbNFKeJ0DkjWjHUfoOIws98gKsBrSs5aDssK838OgMRJEguPrNStkJCzG5V/7u9h50R3sLdn6+sEtirJYqQC/hs8gUqYbm6seDtH1kAIaX3px6dGCEidkK5sbENO6DhU6qGNr0EDhMMBTG0rlxWV50MjZi/O1ao1ZXsxR8WFQMJ2QAWooMhQEieTMN3Kc3GJBZrPVmrv6gy8ryt3r8QJUMcC60ySWf5Hyv17oxFP+U0PRvUGZs/8AK/XFY1JAgZ8IPF9PxwXIOR7HgAFYQbBWrNZhAceFHskCMaNh3iPGnG6AUEBqwgWpRCxoYD4XfoHEpVbFqaD1BRBvlNDBtToPCtBLV5ITSaEL9iTWTXhWHHhQYEdipSyMjQQQd6DIkbI0wIhhml8hx5KuAunJJ9ua9V+9PQ6Sz8ioyeERQYmoEPgHm/dRgx9iaCuGpJ9bmxQjQM1A5YEbCRMhMMg0VXf4SAACNewjCL+lqOj8AmCRp2uxI6p+B4Ay5ZxBDqU/Ihap5CABHAd696Y3clD5tqFSXA61/M7tLMY0jmGjpgKwJCHcg8qmCIerH6Nl6t63TKBBQqIVADXf32fRK3BNaGJkVmUxavHF8tbyA5oSyI0UYQk4kTKME0HEJhpD7tvCkdnDpTWQCmehNZ1lyJAnNZ8FBpJm8qKPs0hInAxl/VXEnZfiv2rTNoXY/vSJAdxftS4+wt6M3Yh1xYjn6tJMpGo0H06moXUDDFNJW6VEwYYGzQDi9ko72GDloOQFZBuPwbAA60Y148/AZwwxVzcImjow2GoC78vgR5BGL93Zh/1qkwHPxD6fwwXVpDqzSXTyU9e8yVKNDS0Vol1N0BcHT8BKGUIJ+dASCXE17MOeoh8foGvIJUZDYozKmoehG9GjI7GbyfWGsVR8Go86YpdKFY1dXBwfLL1AnD2dKyCU/kK/kK/kK/kKEHFspkxFLXqrxTHmZr+Qr+Qr+Qr+Qr+Uq9twGARI0+sW73GYJnal1gJYRdPeYtU0TZGJ/b8AEJYLcHQ27AZALq6Vveop2q6Wb0NG5gDQSEqTREehAVqG8aDvC1DZGD44UtTpQwzRwNADuDDyZXp86F1SlVLjkaAe5+KZ0WfciI9DoUhTSwGS/jM934MCvEFYUCDViCmOpOuFlluvvQSJiPKAzXsf8UboMB/GHFWBIsBug5Wr5rALp0XBLUOiJEG3DI0IH2u/QBVYaOICmYqLXyvQApUx0XVWaVPdSauY9GsPE61AkbqCD5UGVAZWubKjh5fC0BswiuIWgelBlphP7qBma4kj8ARUwn91IwNxJGsXYBC8PkC+cokhokockjsUpQytabSeD7neKfivBGlHJQvK8fmNvZdf3nQy0uC3LhZX2BJzS+7YEKLKOE+An56Q9C69nENTFRVzLdQYHCu3ptgAxcgNAFKDAWKUhHc5rUFfyTQbhI4O2KeyJ5tJmhBR4/mDMppToGDXkgRzTJEvmIcvwpANiAJWgAul7Hq+a7JA+R3nutejfKZgc4qXoSySRR5FLOmiWBk8Y8KknCByvevcP4o7NwIHnag7lgoeHOqrRCDEYHSFdTJsYxVvmc0xf6CQGaYmugYSeaZYIVhjRR0J8JKtULOvPDFBh8tY1goubtlzU8QqpbBvOtZ+Boh25Adgo/BRm+7CfxQG0etEDdkZ5qVoBJi66GI7cFMDxVscTklc0cxzUAdxuC9CtdNizRfakkGA2wJynyEj0IXieP4qBhZh18vfHeX18Lrv8KkUXgex8xb4Z4a5bxigLGnAkXrM1cIgPUgefb43QUi9SuOrBXno/BBWnn8HpepSSs1YZWL93JcAZqYer0KXh5CMaviMtPgRS9fB72qXZ08pmeeeyA50N6UCliWQFmj3F8NDTpO+6HkWTF370khIbho/IYogPbC2c+fl0HNOzGaLxTNBkAZl2UTtiVyL8uevaWe52ltScBBlhrotmhADB8BCI5oWMjSkdsY2mxkaUFtfUMVBvg86UkvgcojrCdokN6jxtCSd1wZXxKVKfms7aJmZqHZIARoD5UFtCjaVd8vkIuKDCGu/euBJo1j5icEmkTwHapSUg/czoPZUvjHNCq+vwLBBLEaMNz5HwLpNY1a1tjlZ4sndB8xSgKTJ5BT0s8ewgUiFqL+aR0GgIIBAUVnp9KBq8FGa5M6odCsP77p1rOQAZutOlW7YJhyfISq9yUyLaSSaiUZPZs7qvm45oByDZv8ALmquJhUXk4kAcLY8PhyqTzOgISki1iWHtItFVzBHaQUrC+s4J35fgASEQgdlRfGr92gdd3d5aULNxBuDLxKB+cHANj6rG83I5s+yljDdYshWOVafkq0gcJ11r6fADM2NgF01m8Mdo5csRy86joOEbLripuUe6Q4O0VUBLUy5IyPTLN6A/wAjHWmpQEUyddC1EFnhhxK4koMmAi6b69jzyxWtYdt+hUUx+Td8WXxpJw6yjf8AA5aEM/5N4YqbeSS4fdpFXmH7kltAz4O24AEBYDuMUORWAvOlY/BwA5LvWkoUltt2olCkUnAmxQCRbgLucNAsg7TGJg1gqGkCIJOmjeotnOJDaNO4UnjV7A9ZGP6RMGgS8vvp9MUCrAatIwLZI40nT6nZA8DlDfu3FdvYtVNwyZc94iINoCVetI00Why1eLY8rIL+FWzscxrbS8/BuwaMBmKz2kK4ZkaPYIoC2zs3K7FJXSuEtG1q2E2R6zTF7nrW5L6LVM+RfFYg1mhkc+nek1uywihvwlXuxj2KCn5Nctr+TY8Wkd+eRJ7YaFA4/QKZEcwTHlnq8VbExTJ7Yp1grYD/AKbunkpgGJAk8VGRkx6g6VNDAJrNMPGHsZH2POosvDces0zYhGNQTVnkjaSh0qzKgLCPAGpBdlkigvyte1bPxIxM7AGrQ6OyllydNhrWRGa2EK5c/Tb6Q3fn/vNK69CSn3HkpU5EdT67X2vLvkppREElAMbGy0xPCo8MKTGhMJjZ0E/AY8umRC0YGO1aAWy9JW2kTdjooK2TJgix8BEJwxNNpxTIw0EBZcvUBAA0KBUGRi7VqAOii8PQ9WirFF0CsHcJgZh6Z8qs7Ry51Hy3aIsJEk8u5s5ijIAWAwd1HVsNC8ApgVdhByErZ8PWrio8hCcdvDo2a0gRAtUBFhbagkLbtqrQJJJMfDJxxUBzQsh7oifwaqPaRdzrH06E2Aryj8pWBXKx/wBaaSsr4oPSPrtfa8u+S6yLujkDW1TGyyHG4lvWnKjRZEHFu2Lb0izrHFJBuoIbYHn4cdxM43EOH56DQHu8AsnnnyppD45/gVbyjqDm/wB2tvYHUCtjAbtACCx8zKwM1j/tF5fhoj/KhOiXh6p+nspuVjhFPEojv4VMa0hsJH3Prtfa8u9Sq0Q/ADK0ZWgMgPUSlLkOMdCeTmoA8g6Qu+K/ACykjQMyR5PetUx31d/NIcCoRHlQYCkvqg5GvQyu9MrhLIdzXjxrQAAgMB8zpqa62Bq1LScXUWrz5UGkBgu9/qG0A49u9JJFJS9j/P1ISVKYjAYm6/de15d6lOAWAkTamLXIDmYDw8qNMalfxU4iLjXsdfgRoVCWC8l3vGZDP06HkmDlKOgzHWathbz3oyI2Bm3486NfdpbZbbrmgAABYD5mAw1xm4Vp0y+tXiSjI6bQ4y660E+dQubv6+nkIV7/AJqPKnCHhY8KCPRTAlD0tQySXp3ObLvbfX6l6un3Xfuva8u+SmseVwDloYowGdRLC9DJ8AhBIyHd1Du08oxgErWnbOkP2S/BV4K8OPP71v8Acte7igg+YvxBYB/2pt4HIhnH31OXRFq8j1UkYZN4h+hFq8/CrepoNzdXIDjHexq4V3btNeB/pYq4mRuTls8vOpZ1gz6HUojwkgpvWwEIjkn6hAvLZL0v4TUi1fdd+69ry75LNUUkySLNmypB4gF8ejrR1uQZCxvh8DfLK4AvLWe7wxLAJeXBl4FDYggujXkMvWgAWTernj70AAICwHy6hpeFJ8QvSZStIOaP21D/ABhls6DpSaUBc3/TWud+viH6H7gRn8Uo3UN5d7BMIk3LVK6jPGCrcZTwH4Gpn2jUUchLmZYmNKUBPnABihw9m6Y+okMfdd+69ry75LA76W/gG/NTlsuHqw2vTRh7McMdpleNYJcFSEIKMET3UAnOL+IqY4K7gt/Uy8waVagIM3+qAgEBgPkjwzgMZKFzqqZaYGT3IFofWotx5/hRyqeI8xTD3WE+SPvQHklDeH7q8hyGXlUWr29HsgqDA9V3fon/AANh/usbbjjIL1nvfdtqs2AtEwCi53RvEvXsBeBdVN7oNQeYVPmOySlwOMaVE9C84+KjSd2d/Kvagea1k95Uvb9pVDcqTf6UQx9137r2vLvkqmt2+9QTMU7gwCk0dKM7exKpD0ntSPjKJfBo4W5Xq2mII7k9zCft1oqCWgWGPEXVqXouXbhbQUBABYDT5OwRnGgSmL1JeGb8VjnoPgO7ZBq7DVqOS0i2PUaFEfUW79EUEtg1osZKQQpwsljZL073Hzk9F24LVGTBZCeo1ONKG/E+gq75cMcs0dmRo5M0sXR0vjdUslNY9eKKbgHgUZjVRuBESr0r9ws+6r7G3anL68F+aNALYocbTr1gT5Us2WhxMvpJDH3Xfuva8u+S7dyAEh4V/Kfqp73axLQdPgOTMTljMtog7hQKsBq0WMZZBt9jzohgQEQ4I9mgIALAafM2UJd367CsL65h0Htajch1V9FK4wTBarzgk9bpQLIXXTZfzRjvGyhyaKaz8TcpaCsDAfEXodSFhx4UORyKCCJ+kkMfdd+69ry75KJEMjEMsM7I2igwAhc7zRXMaTNLhfgOdLLBo05t+O4eU39zZlvv5Um0SCs71DbCgDAfMBoeVwFKJ1otbk/dq5DOJ6U594qGMF0y936MbJi08a8mA5P/ACnJukDoH+K8bz5O7PS43QKSN4cTv2zWghFh1RJ8GtBUUQFLGwzWsIabUyp4wgytBUzzYRDKbNvgNDELixltBQ96sEDPQF6KuGtOxLWgsOCSvQOq3+kEMfdd+69ry75KrLB8tV1ND0+HSdMdyLVJGBiy7c+L4F0kTse5oa/GZFDXEuvnY8atDu6nt40EA0AsHy7oy2BSpasA+vWhU/N8W528awF0zxVy1qWU6rd+j6oXGLF6zKQceLUqvgzEXoUujNxG8e7OCfHYZotTZHaklrZl1JfA7KiPTYSouwJHiSO6mdCc0QbPBas3o/Nh6fgE4w82S9SfVUFJUqEw8OK6+50gIKkYWZHSF9IEMfdd+5ROkszFBbWAMynZVvs8QggD07s0amGBlqZYejrOLaiB5vQpTjLzpPmIO4bhzPbDlvKK63tHxMFA5F/tKQN11h+D+UAY0AQB8udLRYMyfxpW+NkHq/VB8+Yb+dYpS57mxR18kolN1+keu/ar/wASUtegtiUS4MyeY/Du5PpkdYfOrPF8SEakaVkKiiJjX4BaqZaB6xWL4IPQvGd60AXDmDREzegUzFgkMVgD4FUNzuQksI/ikvLCBIkmA95oQ6YeLhC2RqxJvT45P0ghj7rv3Ptu3aTq+8492UA2gJRYS9+zzujLEtCkgSC3k4q/C0ks7xhntSKRQ5MXKnRPpGYcvwroKy/+MatMKxHRZiDQ+96AMaAQB8yXzzTwUcRNnFt0GA05OtXHx2Ilv9J9Z+1JGbzz5KEivaCC78iaut+//wAGEMfdd+59t27SdX3nHvCdn3n8A3pNNg7HanROtYiaIQROca/AOmQJZLZF+AMOAvTvy6Vdl0AWAND60AY0AgD5m4lF9/ApibZhkJl1DNpfWDkJMyfOuX0r1eunP01AhLY9KL9fRj/BiGIgBzjI61HyrChEdx7bt2k6vvOPeZLh/FjcleigKUMzg8KJ0wOUfYfAM2zZaWGM9sCELG8WjolVAbAffQD4wUAbfNWM7JCeirPtI4AMQX+luKE9KPIs870EM+OFDbg2ufZ6v+AU3lfIcNDT0U0dlj7XvXvOO49t27SdX3nHuwUj0IRtPjRmPy4Ru/rRd/2G77lAACxpHwQSZlEmNTsA7MvQpnGkjCFyNB9SKNS8HANvml8jBxCFSErpSU+afpnMKp02fJUjBhFEqv8ASO5FQxhQto7Pr/u2/ttY+1717zjuPbdu0nV95x7sWQC6ulIp9guTaSx41dhZkviEMPN6RbpbxP5+ESOikgliWpKbDw5zYjZ7QIALAfNWXHm+6LeoE9NjvO79NgsWTwbcxxTykSduI/FFhaqE4koN13n+Kz2dZkKo+OW/N4aFuvsWaLnwg/ihyfvUFWRTa+nKZMVwPOuB51wPOuB50XF95A1d/e9SlVJX8AqmDPQaEC+NVrgedcDzrgedcDzpMBsmEyL0zLVBno265Yg1vUGH5epLZC7azXA864HnXA864HnXA864HnR0SzeK80zLRsy0poD0As0pMQv1yfWhtHn3JASo7iQ0CsaM31V34SzZCMDJHNHHMdIclJWNy5bqXt71ngedcDzrgedcDzrgedcDzrgedcDzrgedcDzrgedcDzrgedcDzrgedcDzrgedcDzrgedcDzoGDPxRwmPEo+3jSNd2A3fOuB51wPOuB51wPOuB51wPOuB51wPOuB51wPOuB51wPOuB51wPOuB51wPOuB51wPOuB51xPP5pGDxwBI1pXR7cTFf56pSDgKGyVwlGQNVi/kaNWqlbEeVUmsE7bdSnc7OGdoIKbU/iq/xVf4qv8VUzxDv8Ykx5/SZjvxxJhrl7XHHuCIazy4furWhQraruNjGC9NgoTHOg7mOOOOMEGGwJmgBrv3oMccccccePvPKlGM2iNEBGevyOtZgKG1QC9mx0LT41ELPla8kRGlPr8H01O8VATmWyJ47AzTM3g4hOYLdka1sQLJIPuq9ziwMrjxcUvOXahs3ZxSWYFihAsk13p5WMCQV+9MRvy6pYizmrMFntC7yOtLHJAofKc/aihLanzD1JpHC7eAFuhTpOA8ZwG/lQaxu99H8lNAaQi6vs+a9wtXl6kUIZfNHxZbaVFLJLVnSiJSCDNTZEZ1qahCFl9KW4m1aQUaaL7rpRjTgWOWOUUncxCWRilHn4N7DPlRFIbCDOyIndRhYL4UC3m6OaUR7fqbHliiad0G3jet1ve1sHSilkrWtkVfamsDlwgltRZE6V0UCNqeJRJhIiMgXQaA3jnDQtNCS0fVVlqiI0pSKRSyxb7F+YtUPta3MZcLPGidXdMhLPI+abtIFypLlSrhSs2CD4np02QgCRrj47wooI6INM/SSVoJk8Cdfg8em8CasxRudx7qVqhPpzL30EYoNwWj8ihWgII+cjj4SiNKIMSYefhj4fERmSR5o5RiYBYA+BJIblTuZRp12x8IUuAVkwszlzv8TRIEZ/Bo2woAwHwOhIPIHI1gLhvTB8MJkNlxmX4ZjbIIfvkfDBGTBcph+aHywWC7+Eo6qwqYQGl/gUCtgqbqCODVeyl3s3IuapuVIEoflIqbMIcm4eTtXR3rMaHLirgkbZYGVkaUGzeJZXRqpK+onWrhNqGT6IvEMTgo+OwQhSbF0uReXFMQHyTxRaChzSA6UoVPiXtCbUrHVwON5DamJv02Z1o4FD2+HJ8ax4XuNA836pKsX7mh4TUbzgYtWKLh3E1pkDNcCsXiIms7NCgSNLlK4cEP3RfYxj+NpfjaZHBlsDlxTRkEJTD9dBoOPQSNTw39GoV0ChRCs7TfpRPDJyQxyO1YhPmKw+tBhpmC/E1ygKnhdzxKR0FCPCGnQXTkrNQ0tGncFrqq9DqCrT9bUdOQxkkmfSmSsh8QQk4Fwi7l2CBt5fAOlcBxrqF0d/imCineh5AYdZUkKRkAgK0eDJHJdN6JkrDQCV6Ci2DIT7qnD2LBNPzEpmCTTmuSrphKjoB3ZsHK1tcqY4DZzekWECyyYAjgaa1pikImw3+EHEaMLnj1K0+prXohQ5GhSx8eGyEsG1EdJYoWX4rlcDFyHgkfKsZKhimlSX0DdMmnLWv1jfMTihV8Y9RbiYvG1cmsSCT5eW/K5xj0qf6zJfd8CggSVcRSYd28yW8deKiNMlCtLrDH/agmLfD+dbwPY5jt/gn/bFNkXa6MDDZNBZAMiBS8UoIwvJx0xMz64T9CLtiUgGxQpPtOlHwJzhhNgu1j1oUZE7vfFRl2zpmQ+Y1L7YgEI4BK1fgINYDfhcU8za+RUUMWvYbElN7bXK2npRgkQbjT9vhIuBsHeSvan4pkpKRYVwkxUyM7o5vn2OC1Qj/DaalQUcGVmXpLQsOgcPfJsZpOO2oZS5GojT0umKz5FLePgn9305wM17c/FCBcU4Yu6zFOeYk8IWLbFRhdFgRLkiKtbIk8ZPlVu5fhmWz6VvkTOgj6KPxsDkl5CnLJnvd1YvHwHedzuZWWIH76Eli9PFFJnJ4yFJiEQTn9eKvsebL1oLYuQnza9w2+KKpGIvZbhJTEf3ajAi+vDEUkm5eXxJl6IU3U1isxxhz60Gw++hHrFPeISdd45rHPUfsdktMUjvKKsSkjG9/wBaxHd24f8AFXbtXGz1oNiZigCMPDY0Z4oSwAGAn4YIWLqVex5alMhbdVFscaKlDsWxd8SLBaKOapGIzjvjQbGSw5/urSyCYQ1ydhvb2pd0Tw/Gj5dZz2XMHIo34ywhgfgG1IQlMIpRdpVzOtMdmSWdgNALFKibbSTHotUZ3w7B2ybDjyTqcmaksWsGwjOi35qM+kXx63nWpbvDWcfmt9FSXgyMo0OfyvnvzrFL4OJCWSJMqxertRrw3W00VyuAzkMxcL1FXBpAylaTHhzV3bS0lkC0/vilsWM0+IVQTSxhSAdfjMXxAJgwojSiHqFAYQWLaUSBAnWZy38Cgg2MCyt8aTVvf3IsZlw48aah1swgG9zymg2Hp4hG0rlI3giLRO9ACCx8WQNhQGkGNHHjUwX5tJCBfw+8Vhp19FMSXSg5pa0P2FhStS2RMCxoqS6nCzhGza0VaZeC7KOCrfzqxAToOYcr3krXX8U4HQt3IDzrbN1Nabn3Si8DZO9NZdi29KgLDGnhI0gka6AlJ1V93ood1EgScUy2RUfFOhY6KUeK9Oz8QZNyZ8JoBiNOFly/VaVtV83UyUAALHxRlU6RbHirrC0elfjxqXWkLyeQQzUySbA4vBjim6pJ1raDGnYBBw0M6LJKTI0DtQsXRteehbyowGUG+SJ1qUXjRWTR3TXFK4gQUH1n1Yew8/CgYNOEoFTiG7Mp0p6OAMKkRzq6T2j7wDilRzkbPxDVpBiJE+dKYTFKQ0oW+eqrw7JvWIZAtro0VEhk7aW2WhNCmkw5QMvP+NsjpkgZLd/bCFE7jv31pAFwhwOb/wCbnTX6HM30CnmQuXEZjigikLqiTsSXs5xlu8Xra/rau7JeSh0rvOf/AB/BhoAIU6VkEuqMyN2h4y4huPYTpxQP/oOgI6tKbIXWUoRvFFPw6wkBPCxrU3Xu8JvHTJFSzmiqzxuCj5BBGZJc8Gmyq3kGyyUsn0i6k7iVNQLpHOrvNX94hIjoKUN8psMbdvU2ogQTIWolHNcJApJNmjW4wUmcfx+mQP323CpVTW0ggdjotyRHhTy9JSAo22WYk7T2R0gSJN3StFewx6UhtZBBbNFkbAx60QaKyRtSL/m4EIsUMklcSTr5K1RTM2CNqxnXBdVRsgiTqpfBFAaMiL7meiihoWRFl4zWJDKSKRFzJNB0+iNQl3jC+mBEzeEx41hu5RJL1hjUMXhWKXAuSvkoKyly6N6W4QUPLsw5YsduFetcOxFLzqxhZng61miUiXhU0wGSJ0qEYsL0Iy0hDglAgdKPo2BnkpAVYDVrBCAUPKoeYTcLF3SzO30eadPYfUYhSXHTopGSk9ZjE28pagywcAFMckqyeh62nkqZ6A4jovD+atW7LMunhZpYEc5h1L6CrVJpUXQYJ0pbP/GLM5ItTiljlYIwml6FAT6yGvDWooVlXl5NjE1JETEG+XzBg26Kc5HjcvuglH9DS7dab600VMpOPpnsm7spUuV5k3eQnjWp7u2gzlFTnrqIejN/GpwoxffA3rlHAk7M0i19ADaj0mHwq6YFK0EdDOXihJT8Y1kjNgja9XIzAwAvMzRTC/oCS5hbVe3G50gGbas81cG2FDY5yPBFIMaOAF+vP5rbqZI2DpNzxoCgciPQTupMguQ0NoLbdDaq8Vjh6UVmx9DCHKS1IKA1AxvG30QgFUNABHWI8aiIYz0k6JHhQSBCYtYeS1cp9zABgNIoBcigrajLZWvR0nKeyHqfmozDZUOqaME8UJdPIBMk3lzx2ZSpDkkR506Rdkc0G6avAECgOuvbnepq9ujWM2J02o1BQ5XrkUU6oiC6CFZjcwZ3iFo4olAomubGhNooAN5+UITeVDwoi2cIDrr+SsdreyoP0kwSLhhk1EZz9aiLDs4lIpehVcKciUdG1PMFLeKekEluqEsLr40ibVW3I+rQvOJ5C6nY07I4sabbYrmZHcKe8OCJhzLHu14KCNKlEXJ3wTotXWajItRNPJdvlrPnMVWZjwXeZqKXK8gUnRHrxUeicQTCCvW3xRjWvwYEbXmL9adgNC6xo9VWxBJtlSja9Ovcvgr1jMKlwmbIbl4UTPZfnd15qxDTG7PN+iNbJZjCGaKdydmYWi21FbeVuSL2zU7wxHaLIpWWCI7KO2zapTKUwY38ETEaxNTkI+gbsuXoWAokAQ7Cix69L5AhqBN15GRY6KmcSVhwt9W/NLz3oowcXFNKgOGHNbGWgQe5by8kYqcEScbBER/FSEpftB5Q24pR+uT2Qj5OKznJaSBOFNcJIuBh6l9P9OZa3i3cRGmTHM8cjHYTM1yajEY70YIYHhqYnw+nXsTCo4vAmnZFnQkSbNqN2HjiPjvAOYr5QLtj5L//2gAMAwEAAgADAAAAEONPPPPPPPPPPOPPPPPPPPPPPPPPPPPMPPPPPPPPPPPPLXPMPNPPPOssFeGMMNPPPPPPPPPPPPPPPPPPPPPPPPPPPNdfPPOODFPPPFOMMMMNPPPPPOfJ3/PLPPPPPPPPPPPPPcfLHRdPCPvbRXcYfQfPPPPPPPPPPPPPPPPPPPPPPPPPPMffPPKFILFPOPOPPPPLPPPPPHHBcUfPPPPPPPPPPPPPPcXPPPPPKPc9abdEQaXRFZRYXXfPPPPPPPPPPPPPPPPPPPPPPPIEKGLPKPIKBCdOPPPPPAJM3qPPPOKFBNPPPPPPPPPPPPPPKPzHrPDLHDfLPLHHfbPPPPPPPPPPPPPPPPPPPPPPPPBKDOBHODGKPbdHDHDHPNGbba/DPPCMGJPPPPPPPPPPPPPPIPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPOOCGHPKPJMMMMNPPPPPLPigt/PPPPDLHPPPPPPPPPPPPPPKPPPPPPPPPPPPPPPPPPPPPiVfPPPPPPPPPPPPPPPPPPPDHPPKPPDDDDDPPPNPPPn/fPPPPPPPPPPPPPPPPPPPNOPKPPPPPPPPPPPPPPPPPPPPOYnvPPPPPPPPPPPPPPPPPPPPPPPKPPPPPPPPNGBNOMMMMMMOMNPPPPPPPPPPPPPLKbdIPPPPPPPPPPPPPPPPPPPPElPPPPPPPPPPPPPPPPPPPPPPPPPKPPPPPOONOCHJPPPPPPPKFFPPPPPPPPPPPPPPPHPAPPPPPPPPPPPPPPPPPPPPT/PPPPPPPPPPPPPPPPPPPPPPPPPKPPPPPLPVEHPKNPPPPPPPLHPPPPPPPPPPPPPPPPPIPPPPPPPPPPPPPPPPPPNN/PPPPPPPPPPPPPPPPPPPPPPPPPPKPPPPPPPMGPPKDDDDDDDHPHPPPPPPPPPPNNPPPPPCPPPPPPPPPPPPPPPPPPHEPPPPPPPPPPPPPPPPPPPPPPPPPPPLPPPPPPPDPOPPPPPPPPPNPPPPPPPPPPPOJbPPPPPKPPPPPPPPPPPPPPPPPP35PPPPPPPPPPPPPPPPPPPPPPPPPPPKNPPPPPPPDHPPPPPPPPPNPPPPPPPPPPPPHdPPPPPKPPPPPPPPPPPPPPPPPPfPPs/PPPPPPPPPPPPPPPPPPPPPPPPPLPPPPPPPPPPPPPPPPPHPPPPPPPPPPPPPLXPPLHNKPPPPPPPPPPPPPPPPL1vOtfPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPOAXPPPCbAPPPPPPPPPPPPPPPPM/OgffPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPDdPPPPPKPPPPPPPPPPPPPPPOPOrXPPPPPPPPPPPPPPPPPPPPPPPPPPPOvPPPPPPO8YePMOONPPPPPPPPPPPPPPPOHWPPPPPAPPPPPPPPPPPPPObD+hfPPPPPPPPPPPPPPPPPPPPPPPPPPPPJvPPPPPPHLDXFbeQXPPPPPPPPPPPPPPPPJPPPPPPKPPPPPPPPPPPPPJNOgXfPPPPPPPPPPPPPPPPPCXPPPPPPPPPOlPPPPPPONINdRZOdfdLMPddfPPPPPPPPAVPPPPPKPPPPPPPPPPHHPJRUfPPPPPPPPPPPPPPPPPPPAXfPPPPPPPPCvPPPPPPHvT7PHXHHHDLDDbLHPPPPPPPPLXPPMPPKPPPPPPPPPPDPO4wXfPONPPPPPPPPPPPPPPPPPPPPPPPPPPPLfPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPFdPPDIcIPPPPPPPPPPONKVHPPPPFPPPPPPPPPPPPPPPPPPPPPPPPPPPKf8AzzzzzzzzzzzzzzzzzzzzzzzzzzzzzyxFTzywxyjzzzzzzzzzyjJjzzzzzxTzzzzzzzzzzzzzzzzzzzzzzzzzzz3XzzzzzynzzzzzzzzzzzzzzzzzzzzzzzyHzzzzzyjzzzzzzzzzy1L3zzzzyzzzzzzzzxFbzzzzzzzzzzzzzzzzzxmbDDDDDw3zzzzzzzzzzzzzzzzzzzzzzzylTzzzzyjzzzzzzzzzCp/zzzzzzzzzzzzzzfbDzzzzzzzzzzzzzzzzzzzzijjzztvzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzyjzzzzzzjy4z3zzzzzzzjzzzzzzt/DzzzzzzzzzzzzzzzzzzwXywl3zyx9XzzzzzzzzzzzzzzzzzzzzzzzzzzzzzyjzzzzzzDuD/wA88888888c88884iwk88888888888888888888888888oz2888888888888888888888888888ph8o888888LNf8888888888c8888nX8888888888888888888888888888+Ot888888888888888888888888888VcsA88888jh98888888888o08887lm888888888888888888880O888888pQj3cdwk8888888888888888888888888g88888h/888888888888c889X0sAIwELrA888888888888Ytac88888s88YI8occ888888888888888888888888o88884k888888888888888+ak+800Ez68888888888888uyYrl88888pc8xM84xU888888888888888888888888o888888888888888888888RO88884gP8AmAPPPPPPPPPPPPKplt+3etPPPPPPPP8AbzzzzzzzzzzzzzzzzzzzzzzzzyDzzzzzzzzzzzzzzzzzzzTe33zyxgTjt7mjzzzzzzzzzzzyrU8yL7bTzzzzzzztjzzzzzzzzzzzzzzzzzzzzzDzDyjzzzzzzzzzzzzzzzzzzwARzzzzwyywJcIzzzzzzzzzzzzzzzy5q4r/AM888886E2888888888888888888888BMl8I888888888888888888848MYs8884cMUc808888888888888844Eq88888888GuZ88888888888888888888M8s88IMMEEEMMMEIMEMMMMIMMMIIAMIEMEAIME0888888888888888sc41NU8888hfJ3zwk0888888888888888888888A8c8c84Usc8scQ888cMo0ssMMMg8cMMMIc88888808888888888FuqY9888888s48440888888888888888888opZk8884h88888p098888Zh8888cp1888ppdB8888855w88888888A+ueU888988xN8dR08888888888888888888c8c8888sc8888ssc88888s88888M88888sMs88888MMU88888888Ly2pc888s88Mc8ss88888888888888888888888888888888oNw805wx15U88888888888888888888U499x50888MY8088888888888888888888888888888888888888888888t9tc0lNNNA88888888888888888888QAc888V888T6/z8888884988888888888888888888888888888888888888888888888888888888888888c888s888c8N188oqiC/wDPPPPLjvPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPNHPPPOPPPHPKPfPCaryfPPPPN7dvfPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPOMTUTfBdfOEdJXPPLFTfPPPPPISqufvvPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPDNHDPFKXPPKZfPOPcVPPPPPPPPjDLnjtvPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPBbRVaXEPLCBfPPPHTlhlPPPPPLPPLcPOTfPPfPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPHPPPPPPPPPPPPPKeF61fPPPLMPKHXPIRPKZPPPPPPPPPPPPPPPPPPPPPLefPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPP6muHPPPPPPPPPPPPPPLSPPPPPPPPPPPPPPPPPPPPPPbfPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPPOD1vXDHPPPPPPM/PPPPPPPPPPPP/LcJOPPNPPPPPPPPPPPPPBXfdfafRPfedMMfKPRWXMdMOGZfPPPPPPPPPPPPPOjpvu/PPPPPPPXvPPPPPPPPPPPDTuCBAVbdPPPPPPPPPPPPPHHLPfDXLPLXHLHPLPDbHHHLDfDPPPPPPPPPPPPOOLhgaN/PPPPPPO6vPPPPPPPPPPPN/qGZfTXSQfcUfbFfPPPPPPPPNPNPPPPPPPPPPFPOOPPPPPPPPPPPPPPPPOHPsqyRttfPPPPPJ6nn/PPPPPPPPPPPPLDDLHDDLLPHPHDPPPPONONIJELPFPPJPPPPPJHEPPPPPPPPPPPPPPPPPKdsNpbHHP8AzzzzzzpTokHv3zzzzzzzzzzzzzzzzzzzzzzzzzzxDBTxzyDzzjzzzTzzzzxRzzTzzzzzzzzzzzzzzzzwJeNvzzzzzzzzzzS0xQIwxTzzzzzzzvrzzzzz7XzzzzzzzzzzzVTzRSxiDTzyzjzzzzwhDxhzzzzzzzzzzzzzzzzx4WBzzzzzzzzzzxlzx3HwCVTzzzzzzx3zzzzyp/zzzzzzzzzzwlzxTzDzzzzhwizzzzzhzzzzzzzwTzzzzzzzzzzzzy7zzzzzzzj7zwzzwxzyyxzzzzzzzzzzzzzz7zzzzzDzzzzyw1TxyxjSRRyRwwTzzyhBzjyzzzyzzzzzzzzzzzzzzzzzzzzzzyuLzzzzzzzzzzzzzzzzzzzzzzzzzzzzzyvzzzzzxn3hzzDyxwzSBzzzzzyzzwyzzwBzzzzzzzzzzzzzzzzzzzzzzymrzzzzzzzzzzzzzzzzzzzzzzzzr7zzzyvzzzzzwHzxzzzzzzxATzzzzzzzzzzzxTzzzzzzzzzzzzzzzzzTzzzzyhSLbzzzzzzzzzzzzzzzzzzzzzzzb/zzzyvzzzzzyFzzTzzzziiTzzzzzzzzzzzSTzzzzzzzzzzzzzzzzyt/zzzzy79DfjvrzzzzzzzzzzzzzzzzzzzxX/zzzyvzzzzzyHzxzzzzjQTzzzzzzzyzBzyBzzzzzzzzzzzzzzzzzztvzzzzz33w951+LzzzzzzzzzzzzzzzzzzxX/zzzyvzzzzzwXzxTzzyizzzzzzzzzzzzQDzzzzzzzzzzzzzzzzzzy/3zzzzzTTxGHyw1zzzzzzzzzzzzzzzzzzxX/zzzmbfzzzzwVThTzzCTzzzzzzzzzziBDzzzzzzzzzzzzzzzzzzzxVnzzzzzxzzxzywxzzzzzzzzzzzzzzzzzzxX/zzypT7zzzywHSzTzCTzzzzzzzzzzzihzzzzzzzzzzzzzzzzzzzzysnzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzpyfzzypT7zzzzjFTxSQzzzzzzzzzzzzwBzzzzzzzzzzzzzzzzzzzzzxOR/LzzzzzzzzzzzzzzzzzzzzzzzzzzjTztRDzzytnbzzzyzXzgizzzzzzzzzzTzwzzzzzzzzzzzzzzzzzzzzzzzyC0/wDMMMU8888888888888888888osYkMMMMUsMMMNcU88888884McEsosccM8c88wsIss4M8ksI8888888888888F84J88F9U888888888888888849QRVU88ostV484pMRZF8888hMJU888tc8oNB1YNMU84EF888tNA88888888888c88MM8M8888888888888888888cUsM888scMt888s88cs8888cM8888MM888c8c8csc88cc88sccM88888888884d0R50149888888888888888888888880004484880888888888888888888w044ww8w888888888888888888888tMd888cs888888888888888888888olFdRlJJRZNc88888888888888888VldNsV9BFZ888888888888888888888888888888888888888888888888888g99888889888888888888888888888888888g888888888/8QALBEBAAEDAgMIAgMBAQAAAAAAAREAITFBUWFxkSAwQFCBobHwEGDB0fHhcP/aAAgBAwEBPxDys7lFBLXFdGipY5nkb4cJsUGHDrYjeG6cho3jqJDiJuXWIWw0BDoks8E6g+k+AO5leGRsw+slcXScAqBAvCTYNF86LUrN3KbIBSXkUhmot8UqWi0LNgCU3JKlRNgF6sG3+Ow2u82BN9CqRAhJN3WpA9jJmIhuNkvGTXxEcIpXY9K4OgiixKQlsahv51dkgaNoCJfKOU0FuvyRGCQ2DhkR2oSRABHiSdrksFdhmQziBlgbis8QPGonql1gBkYURNrTnxCAhrguhScgPOpAX1padJYkVgLwojFp3NIXsJr0XNhnYo41Mun1ok0kWZogX4fO4F6H1z8P1REgTJoNk2+MlSwLAypi65AShAwzhKGGx8tcAzfkNb3KmoTav0GPWClyBAOYJZtOVfLM7iA9WKLKyFKJLKQwcCKePLCTMCSePk71/fGyajs0YoaCEN8zua3B2pVZfLTDQlyoRyuiJN73J1ihricBgCwHI/VrzRe5wYff9XF3Uj4uvoXneK0WF3dyvq/q8OaQH6XwOzw/8ufKAVdgzVn2YNhY6xPvr+rp7Bcmhcc1/GjQUQCA2D8AglaNkXmN9YsC/Wf1PDUOroeras2XyD+A/rT8AglaCsWUuBx8Y06oglsq5X9TO6WdmgctXqa/gEErR9CSlwOPjGnVHUtlXK/en6ndCaHi55PlFXFEuu6y/dKBBK0FYspcDj4xp1RFLZVyvjA1ZC7GnPuA0hXGdKjTyxQS0DKkpNlTAaF2U4sx/tAglaOkGUuBx8Y06oilsq5XxosI0RYIGTQDaO4CRZUJbt26Pv8Ai135RV3Vl9/LLjQgNFmL7xQAc3YBCF8YNp40CCVoaxJS4HT9hp1R/LZVyvg8d2ZGT1CPi3r3DoA6Q68iuF6f0oisiScnu48hltGAWZ3toa0ktYBbsuxwnFFWLKXA/wCY06oilsq5Xx6ukI3kz3CcgvIrh+hQQQeVwLCl+7uDjT/SGSXEcfrMUfAkpcD/AJjTqjuWyrlfvTyDjbPd81l6Mb2ORONfWwfzSlwOPjGnVEUtlXK+QqDl9L+KaEAnmYIJWihklLhf8xv6oilsq5XyJBkwZuAPVAoiNetF/ftu27HZey3mHKPK1MRCXji4Gm7yauaovLv8zTnKOvbKuV+6aYO/R2mLcIg0mOsI9KhLo8GV4pQcMOHg4eFSChNybLABIOFi3HPaEvb8o8qEKPh3UwBnn/aVBcBKXGw8RobkaSOvbKuV+42x34KM4ylwMW1nhWDLKCBjZogo/wBR4uFl9rUPLIxhQ6iMiNxEb+UzFRYh3rrwe40yYzKOvbKuV+42LHfuwOPSgJdA4Ez7rPjArmfAG88KaDImyoOCHU1mQFOnk6VbG11XAGVWwGWmjBS7OgHDrB4C8o69sq5X7g0weAFCznxvC09QURIo4MtvOyg3aiqRkXFKo4IieTNjE8r0DI03QXT1ehyl5Dr2yrlfuDTTwDwldqxBpPXxrCGCuUv4UOMvjcT+GozDOxlDT0FrYUCJI+SLBNKiEHGl21hzWUXR17ZVyv3pg8AzgDxP9a/3FYSg5ZG+RucLslAggPDDERqSEkMxIWCQGW9jtO+Mik2IhfJ67fiEHwhJPgNwYxwIWrwFPYz80fOzfzUbFzAn1G3kWSAZMZL4/vNOvbKuV+4NMeAWCaciws2tE/N/uK3FUs9lIYdK4LpUpAd9NGDlbButGxm2MN58+CdICjWGdMvpk4nKh6QusHppmKzns4vAipWAoWA0sYMtrUqMoq7rdetHnrGEEk22x/dKLbJEcRz/AFze3i/Cu8CfiazmAFlzwC9BrPYCWE4DK2urmSx3GBIHNAfNPSjJYs0NtnpcvE+X3LBtdN7b1chJuJ6vRdIoAQFu3g8DRUflP6oAuq0Nk0HcDlN9D5N6VlT/AMsdxh8W5JHvFXIn+hv7/LhIDFHwiItrz7kAR8qj/v8A5Wk3gzmjAFhzLUllLx+DtxhD7Bu0axwqQwyspmBmLxFb8YJxcnz+mY7pbYkA5UNHPNFUdOMyuYJkdHUxS3jkCQkdZiRk2ytqUBmoGpNlG5Jog/p01PamfCSxME3Y1gvGtSMrgRCyVNJ0m+aFGSh/Mh+blYWbCXfNFgZ2F9l2tTyKH3tWoHIfzSCDsRCRa8nSOH6WjjuUw5kD1SiEc2ROwPWCiosCwIF5AWYC05dA8sPJ38IRDBOOggXiy8f1k/ToqKgqPOp8Vjst79se2UUoAbrYo9mIItOYI8+tv0Jt2hik/Ov4fEgGGQnR3mv4nsLGRXMyEX1DcNO1rLryL8gp359Gue4HL9DyT23s60VnsoFwpyelPXiyXALbjaZZtWO04oMB7KzcA9FP0IpI7Ja/Zio7aTwIswZPVvUJtOBAYkcyWRJHarYliXARk1Dl71avHWQRArSkykMzR/vmHoxQcg8kf0Gajb8xvT2Jqe4hQzjBKhmE1HUqIyQAAgGA0Pf8H5c5Dd40eTfWYqyo1mCALa3y3zT8k3AP5rO5A/5mhBVAF7trXd/0Gd6nbsv5P1V/AjQiaDxZ1S5U0E7qrTiR0k40KegMNrJI+p35R4Y8xWMiRFHqI9Gj9biIQ2nU4Ot+/PDnlk/ie6SDLOve4kbIw8kK+ufx5THiDuAVgoTcha5D0Dq97hxMBBrYGvt38+flrNDaBM7oX2cPDOP4YGz6JLjwo7iSiSRyGX2GlNlDxQ/FTOX0BTvFYnUNPRr/AGVHn6oxxMxLAr6jAs2wdYAMIuMJLN40E7aIRKHRn0CpkgsiCAJcUULX1ptQ6GCjM4GX61knS3Df3H9GfwCcrpMWJY3QvBeJ2/B2JYut2w4OBi5OYdJpXAUQRb6WJCdo1HcYgo2n+NuZTrIfCmibs1unMksNzEG1hwxLM18XJnWa0jnVIpwYwl7Oob/ogbzEpvgPVJ600kuG3GXow8Ro7xVZfyq5T3cG0JcuDi8Kj3oZGzNgNSzbtSxBEhN+NzOnKoNkouRMbXfNIq7qUS6JHCJMG4lhzHi2ez3nkn6gdrFyLOzo+jRQWY/76581YYBgGpIw73B5ncsyAA6jrb3MjZ8SQdkhYm7jtWX7EXxFcwzHpx84MpIo8lL2GtRWf+zAB4n7nfte7+TzgDOOhQo5O7F9ILp4n6nekxQMSM3MnZ938nmBQy4DdWD3pyhjuTDINpB1jn2kQ4Q5yz0mn16hAwC4EEjqa+q9lBjXY/DambMeIGJi6TcJzFfT8Oz7v5PMOG5fpyoPrepSPiO1FRMXvvvRhQmGsMFuLCblE1gOGjctDg5LTFHzW9yN0sSV5SwaSVaQLaXygr26A/zQG4+F9hV9Pw7Pu/k8wiwLC3W0HFbG7YvamY/4X/PazBoTmXrEFwYADQCAPrf8WF+igBObhfQl75r2dR+Svi1J8JTLJHlWsmlkyriYy8fCewq+n4dn3fyeYEujk3gcXEbxWBcHqIeQ+wq+n4dg8pQA4tioLtUtaW6SYSgDZBRGGQv5eo2QP2FT3lC3nq5LIcvIfYVfT8Ox9vsr7rbX2mz5eJX/AAtIKXG0JSecLmunkAIYC9KbABsc2j/FPxkaaKNnsfb7K+6219ps+XphICawb+VKPC9hwF3Eg3lg07tIJEcD6xkmc8aIn1IPmKDNrgAr7+NCyihLEsYN2h9zVTf5VcF9WgSSP5iySymLBjdpn2saIlKmTIsRnXMeYCoRvQZqEFKjaXS9JSt+2lNniRAEfJI/9ij/ANOae0eTf//EAC0RAQABAgMFCAMBAQEAAAAAAAERACExQWFQUXGBkRAgMEBgobHwwdHh8XCQ/9oACAECAQE/ENqLF2tahMHbZeJwvToAjev7fusiBifcTzLUZHGvuX90uirbPbRIYzKjmGXvWYDjJLL5NzQK3+ONLM8AcqV7wzLj+vMBlKQGtarr+1EpowMjfHJdtMThD5+lJtC3/nSomosBJJ/bdSlZW/B0P3S5E4wsBFrGqeYFGStR1qzpdtYfZW1LH3WkFQPvKhOKz0gPzQMGyDe1juh+f16UcB/KQLuErf8A3eVEhgE8X+q3Kb8qWUlmdmYBJVwCWn7nkgm4Mk2Ys8KJTgAwkRjRiTY6EJKi7K7/ANYbOCiQRN441JuNgrKFsDJY1KUxYlVxVZV4r6WjlDazqSe3pdtYGfQy57t01m5LG4yOR6Xm5QsfS2Zv4/8ALiilIDetXroj3q70mPbL0ueEtg5sx4D85lI1lWV1exQJaEtj1Ocfv0njQroZvIvWDD8R/I/vPsUCWnrwMX4GlBzgPSa3EI3sx45OW7sWCWnrwMX4GlBzgPSdoE5dDA5/urD42DcMD7nSgS09eBi/A0oOcB5xQxfAkKhv2eWiHI5tiB0In/KUCWnrwMX4GlBzgPOy7Z63TB6ngX6Xi/hr7F/dAWAbMbwakshDbDKzbc31pQJaevAxfgaUHOA89hrg5C/++AMcucmXFrXdf2pGMIw8TZiNQNEbjVyqIxJ2lljV+aevAxfgaUHOA8+KJe37eADCBxrU9Wlm7ssz5SD7uM6zyX1Hl9YTT14GL8DSg5wGwOHX7G1REi2frd+4XbvAxfgaUHOA2CA3ADqqRGHaagS1PlBZdGRpQc4DYRtICbgoPs0yWXQm3t3wXCwY64/Gy5hYtb9Gr9xKBxzXi06H5f8AKChAePCSm4N0LpMJOErexq0z58fJyrYmpeLAWhCCXIxu+O/7x8GymigZbAMXju/U0ZFsZzebz+40NCA8fmB4LNS44ALxLlUts4IylvFkUE9yZ83JmoVuLp9ycRzNkgqDGg7ytXOB3Mt/CJChAeOOLiUObYKUYLajNCDoEHXPzlpeepYRrWcWHH4F1SXpSAJscKEr0DNXIMVoLlDdZrl/Z1ChAeQQhGGHHzulQ/FCrhuuQudc+FEkgAI5JZOTsYJYrQSl7vdzc120FBQgPIRWoR87O9I62pzYGDuSKRwrQYgxDMcf7NIkITYgKAoU0mycHeb26cMybUFCA8goLVk5FHljW1ivJjhfvh0YkeMZdgFUhMZ/rWgwap8gj4p+JiqUp4So5JfYSAVQUIDyOOgGHdOwfVrV9Whikhz8YKUBXCkGMUnBb2X57eWLtM0ZGC8veaACDu4/HsweD4p2aAg6Gb0oCwCnbpRFZnfx+PZg8HyLUVFBhA+50/byDf4BYABelEEBHRubPTFqz/AxePZh8Hx5qe1U8BRg4HM1fwc2oDDwHxRA6tGRhDz/AI2e6l8FEvw/tT/x/aXHeX98idmcAMxk8TPse/I2Psu4pBkypgRvjDpGtcAw5WejsPACCYiGALm4UdtiWJI4DP53NFDFvJCF78p3fBeo5sWD+HB4no6KjvJEiWnsR4GQYHYgty4GNJbwZXreZvY91qyvGiPasguK/FDbAxlB3Q/b+iTsJkj55GLSeIm+zoF+sVJIbvWA/fpQ7GBJZ5+ljtX/AJcdr3wCsCsmVJqTE+j1hLyP3X+Oful6kLfL/eE95XGKR1tQl4F/Mt7+jTte8c4xSQOdEGQlEAPf2pGYoDl/KADBB9GzU98ouNbsTg8i1PGiBhsrkmDwadQFbAeeB+2qU+4Dys48bFJewJOpNMQxxI9FRUeBKzid2NQZ4713vYImBgjDRKDN6/yjoYtU/FfMA0yAClthfdp6HO19KnYpIHNbon5KUidTDk4UXLJ6UGO1QUjTKyvlNvSUVFR4Ukx4rgwmpX+8bdO4+BhSRbKuDY6R4rQyuhX+cbdOwFCLm7gmY+1AEM0bv2OTT4GmI0wmIObF/NARmD18QqwyJHdcr/J7aO3Ch7HyeA79HePtlSJAMJ8d8V5gBmy5mi84AWzco2dfijgMROItxD7hToxlXL0QWOdDm9j3I76sDEJsxhJnQGsS+9fqpwdL87+db+CWF3wt7KguHJ33IivmZF6RWacKoLAROI25Tu9CCzme+XRp8FLPEs0+OEYeGsE0LBlp/e8ocCYWLaWcM+NSMGE2Zid9jac1NDZWJpIXjjbzmNh7N/V72Omrm8zOZTvXJ/nLDaqgphh4L6QDHmUxFi3YsY94rhiM9/LbEK7n3tUr+6FnzP2W7vfd1NsWu7PefxWiGfZbzP2e6jD0kwkWcHu/d1NoK8IvRQbPeMokHhZOsUq0FPCGE7m/4crKwBwOPPD5L0MknmGCczGLTGE197r3fu6m0Jvp82oLeYfHel5pNrbqQPhBzaNHpw8NzqcYmoThJsomRdJuxauSxvh8JawBcRPxSiyeV99R97r3fu6m0HtQVGASfeF8KOnI9TvACs6j5B2FbJnh1317YqnxXyah+RowWXGgEUN0QBjE4cPKe+o+917v3dTaBGnU0kPCysUkg6W2D76j73XuAFYFL1InypoMApfTZ84oZOlAl23IQHK08dg++o+917nsX4rA4bQEc6r0KIhiJZoWHBheWwGIxUOtPkLcGF5fmhyREcwTDuexfisDhtAQEUWZ62puZSU3lk0TpE5Uy0YlIJmE2T4pWOTT8TTI8MVVvbzqowhYMCcXSkfZwULMu0MW2RSIITtzUyDjFYHChC25XLaGONW871rXoOAn0zpqhEIrCf8AgD//xAAsEAEBAAIBAwEHBQEBAQEAAAABEQAhMUFRYXEQIDBQgaHxQJGxwfBg0eFw/9oACAEBAAE/EP8AlyAufwCQc8mOoqCkqKfz+ma5S6dc7CynHfPtU+iEL7UtuAB6RdTncnz5YSaQB9zBilUUTuP6YKJKpoxGQGug+hjThz+D5+D5+D5+D5+D5+D5+D5+D5+D5+D5+D5+D5+D5+D5+D5+D5+D5+D5+D5+D5+D5+D5+D5+D5+D5+D5+D5+D5+D5+D5+D5+D5+D4H75hWagD+rBZKtQRLpKLmwexfpk0+12q7MXRC05QyZdgRFaRXsp0J7N4w0E/VqNY8+Mnisi0xkARFb9DBa3CXCLoSz+MNQfWBRzgMF4B7uPrKl2nDBAPMxtTnu43VU2vVr190C3AIC8FWXn3GjRoWkaaDwmnN7gmqyDtQfpicUolrAWgKvPGAo7raOmIgfuucq4SqDNujvY44iVgQVqKorOuby0znkmjw8GXoyCVAD01F5HAMYbfKlVjg9GPMyXMM5sNC8zKamhJYa0KCnCnmQgxMNAAKFk7jOmnjDc/ceoj82tp6O8V5jsNEVx21gJhWrya6LvGL46d8UuhUJx1D4YtQHnOXH64vEvrgBRp4+BAE0Y+t+36xgFuLQeq6wCmNVbsUHnANBUKJ0R6nv1dD9zs5qWDs7PU/UhzSxluj95kJzNuexcUIDOuEaeyajmYBGsDOMK3Q+jUR7I+51IZl4pANdlNHfJ9OWgDHWiOZgKGfVgexYN98BOL6zQrrTKdcfxQX4Erha67njE1jAxka6d9zSOQfaGUCl6V5UNYcFK9HBi5lQRRZANO7inocqSj3VX2TpTQ10RTn+PuUqVIy601O4HHR9MRUmAd0Ww4w9ZQZHCkM8470rS96SB09TA7w9hFBvSL211w0pz8EP1GuFTywdhUAU1ekTHGWKb6oIlq6W7wuItUCjll0a5wfkFpphzAodriYMnCG9oZBeWBqVCLCC99AfTNT6ET5ttEIhQi8loSJZLKOC7H0HmsvOvQxKFKNaoOj6vgrMo+5hnVuNzlpDTjZ1Wl2YpeDTecDRRZ7zLoYXl0Z9/bMmTJkyZMmTJ8Vyb7RD74RB3eoci7Hq4P5SaL/aD9XKmgLR6OsNM6hhty9PrmjydQPkzpieVkUdQDfF1xMBsmyHw9k4R499h7sFO/X9VZ/zu3HUhh5A+ZfoY961BsATvYb1vtcKfeg12HK7zh71VeucgA1SpMQSduYjukn8GAY+ZDjlg7GQPWjsaft448p1m7yrbd3GB+NA3LyMkb8UyAeh7EKfvpG9U5er8COOtIJvADGmtj7HPz9Rwf2bMqOwfE6DB443o3if6BQlEs2r065UpgWHM4o063XAitQIOIcj6r5x6ZL21asa9TZjknPFeVgL2swKUYFHIIP7kw4cQRd3F25DDlcBOrGBxDXza9GNE7k86A7Jlh5+fEAi0I+hYqoRstowvWWfBNAcZ25XMTj59ihj6UZC4f9W0MnSJ6OuKLTOnnDqzVTr7qBWjP03/AF7X/wDNEEj0QfpjwRID/aMR8ECBAgQIECB2ifbpRXXpkwRevwzbhQUKieqRNVdRmxgvyhi8cwHU0R+++AekGwFoUkj14zmzFX6ILkuMEGRdmHMgTPNjGfeXvkmIFoqnmADkDszSEysH8nXsGvr7y+OPt+pgyv7kWfbGx84rDbIZp5GwxoxZoSJnEL+K2hcMiBEmr9ofEnzXgkpt6mjx8COEhZUeHRRLvrMGeiKgBH9nGbgy2hZ5U12yz2RqK4PQxenQBVq7qFfX2AOteFAk03uyzDdFGQeDDHcVQUtkipN8OU7+xvQiFL1N6E/TAg8cAQYfvkBVVYIFBOiZpJCoCAHI74DqmAaGogQC72I5bj4FnrAkqwFC3Vynf2W5Z7KHycmLSg5BZCSKIAWaw2aiwtidKXZOmbBvEK1hM5OvgIVALgSUUHTvKsrEXOLJLQxJHcPnIAjevphugLYTrlk9Ai4TYMTtcERwl9z7T/D8bGbufffDcoTV4IXN2YtngqtTY5MTUoe+uExsNOhsKFNgQ/U0+1gYRk2O4Fc08ISB6LQF1xmoacK+8B7NpDmTTtXRBQnBTKS8oA6ARjknw3iDy0lhzX1gej7v2H8P1LJEA4IFiJo1hMaXL2tCPWa55zcHga8QBeoS9bD4ow5IYQunxt6e2PLWiKFFqP5e4VKlViHp8qKBeMJJ0PBUd0g8jHaaskhuQUHVNDf53rH0xNncfwdC1EV0UbqPrksYdVLzrB7hgzJQhQT1KPYrjUFHVoyhKjS3WNr1CS1QNxcIhVTRXCyibDsarsCzQusMRr0wbnSwIMXvi3bOggPsIV2by5gmJyLgICOjTxnBYxxQYQhed2nEQbohhpEI9EyY/wADtx5mYIenYa5eHGE8tyQIFak2PPTnFLQWhRTkPTudosenig2hr6juBoW2lPxdjoKa6PXNk9QRWpGXQKo3g3g6TAW0p1BnBcp03pQViKtIBNU3kyEhOBFDCautmyMPiQAuGk00W+ZCBZs30YrBpNZXeJIqsNS7ygL8wcoxy35VtTHbEJvBUNejxjMj/wC3C++mLj6OVRDNUsSL5zZ13Bliajfc+0/w+9jNoHYuH5X/AMNvTIj+hE5gAvSTlQN4AvNpD7L7OjiZ2cNxU6e+uMV/1zbAToQh1Sc+5c+++HCvFCH+RMhflARSq8VQOK06wSAZcKlPq5QCOnNFfqTh8Oy+2NGBclPFdnWm8MLyRs2CGnydcpdhdMC7QOxDgwsURfqB/wC46/nMg4Zp9b64Pf8AQFEeGp0Hu/Yfw913avooaJjDaC8cRaYC9sRsIIgCMQlJUuIsXWaGptgB6BiTUbGxJhWwbHeN25uDGmIgJ46friNkCx45Em0OntjjydIoveOf4X+s/wAL/Wf4X+s046ED0DCAxFABOTVMf8jeMmupQS8Ym3L+LDq/XG6VEXpZ5ReTRNbuQZUFq+6J4hOtCkAjhBM9rOQV5cWc+QA6LAo+LgspUjFCQbZ0cYy8iAWnh5Ljth6nGdTuq0BWh7wDviRHE8UoVspbhDxHctkclq82EwEE1u9GCAUOpgJpxLFYSKs6CnTBpoOwSnR3tgOuByOhsBH7mL+Sghs6vA79iYXEk+Hyq1qu+mcsxaC1GrXu0dRDbOGVkxseoi5TlVASWQngdcYq5sQbFL07D9MVVcjwAA5N12OtJ7EJr1mlCTgAnKiXzThSgoj6HMVnSjAwJGnkx3lYotWncfmD9BDcj9saHjLOo/8AeGoT/XNYY25rwqExcNt0MiFR/wC8QMwxmLqM0Y6069Ln+m/vP9N/eCadf23zn+t/vP8AW/3jREUANv1/aba6YBwiSHJHliZXDjEsAdwc9mVF+PuBDmkZ4xoMHAdgDR4TfXADaZtO9CC8osG8GyJgPAQensEGaqAeRzzr/wA7z/W/3n+t/vP9b/ef63+8/wBb/ef63+8/1v8AeMYWhjKCWymo7pXDEaFheIPYrbpn117PJY1P/UcnfpjQIPQgqbgWu7htc808F1SnVx5znxJig9KmnUN5K6grAPSv1x2r17uW0zJaZPK6AdfXBcgJNCK+UL9fYkCDxufSuf63+8/1v94tJk/Y+uf6b+8q2cwAXuc81Gdcm+0YvsraUd0OcrJHgfVwYUuo7nzklc6Y+vjHMxoSet7yyBAZPFcqx8EbOd6ykNIJ5HbCy5uk/Yf1s38pwQgiRyb0/wCTjgxsCYX9FDjmAVT1w7EMbcqkqaGOkkfzh4p9b0zubRPOX0SBM1lIM5MQof8AHBeN9/bDC9bBt2Hvc8X+fjPF/n4wmN1rswTZQ1jvsbKeUg6hk8BPq4gei7GYOlsfpiIg0w4fiJNvZ3w+iESt1Cnl6dzNzIak7Vfu83PLeRepnh9nLeLLuN2tc4BE5f71ni/z8Z4v8/GeL/PxifxVRO7OzsTWeL/Pxni/z8Z4v8/GdGhyjYQVazRaLlhG6t1Zu30Xz7BQKSK11aqvfYcTMEqzKIOBBE8j1xEVTJNf9xRPCZaxMghpTVNl1twvFIAeTEgUhvH8lbd2jxDgX1w4OKFHkI4Hu8VUr2O+GGAhR1Cr5vsGg5BUagHoZ4v8/GeL/PxgPgHZ2vT2Q3JZvTstXrhJUuIwJ0qDoG2iMa0jCeEwowkprTdrid1MZRpTHW2EvJryINPXeN80yj1baU6DWB1ktsDwjQxR1R58827ynJkfKz1qDBDYerGtACvVNSx5/W8aqUVQht0/8nHBKqHAYRmuG7btBnDcMXzjog1X6YSBJ/bAPUSXDVG90OuA6Fi5wjHAe59p/h97GbKTAxSEJsnPi52Em5B9Ng5UHXAkzmpB1YWykTN7tBL0QBOjKd8eMRxTsASW6gFyyoqbNO+APbc++9z/AH+z7isVWa9sap0ekA25clDW9Yl8+SnZCaD07OjncPcXVO4LtBB6+xw0LNanf744Jx3KrVyfZujQ5cKx3F1cBSkAErJ1WTkA74JGnD1H8BYiQx0Ox0937D+Hu/53fgS5jjATMiP+zqwJ+uoOXSoDcV3rWm+P+UjgxyhOubhEBMDKk/vhgj0+2RfxNDznVTxLiWti50w9IrDr7v2n+H42M3c++9z/AH+z8AFVXWnWh956ueds91wcnZtLiMHpkmiVsmPOomCE66cUn7v7YJECmynTOIByA+piUpVeuX68n0P5H3vsP4e9Jk9s/wCKmx7vipR1wTf2HnHJU7UTvtD9sPOfnhXUOidvkyXBeUx1nQTgMATutHJitVcLmas9MEWhK977T/D7dMDrN4EBhOYnwShQoUKFChRomo0CVBpR/bPvvc/3+z8FjhMhmR6UG+Hr3xH1OlFBeyl63VxUAEcBJH03+mDFpllYp2h+jsGFazF9UZGvFwdhdLweicnoHrkxYCRnF9/V732H8PlEwNVITXrkbm58rjpeiNz1n9rnOfaOXAYBNI9cpAkE8Aa+n2nygTYOP1V9Ma0vpgA0T3/tP8PtSGQ6iER8IpixVF2vwddddddddfy7fhQjh3jv3P8Af7PwjLsjQvKA6hxhOM2ce89pm9bMGGkZ9H6PlrnE+ZS9A+B9h/D/AJObHAughEdj0Hp5xg6M6unnL0G7uuJhEBpVanlmvHzL7T/D+i/3+z7QrrEhc+XRk8Bez+h+w/h8iHU0Yqsc2ZaUg++ASAeEec4EeAF+ny2bH5KYEsCR/fEmoJVV2riBMGb3iiZyiEGyr8z+0/w/olbapC7uZub1eUpglACBojwmM8dSdvB0Mn1DIIevymj4MlHqwB1BVS2nbQX1df0P2H8PkPGm7IyANVTdaNPGKM9WW4V6W4S7w6Uz2xPE+mHinPOR2B6QPXCIiAUMAEAE689VUFy2nVbq16tdWfLJsepkD6iX0Z6piwE7O/YbD0j0cck3EPyPt9ZC5OgBdgIfM/tP8P6EMgq8B1wW/PTzt0XvZ6LDzXDKUFA4K2OCILmvCL/VTgOnjKzrJ3aK7V9LNyvQZJRBp8sr5cCswql+DQqvQBXDLX5+sDF0bNvrwEASlCxa0fr8Zs2bNmzZs2bNmzZsZSGo/T2l6+UASlECsm3GRiA9x/X2xxu7hYV1p2nOUTWGOiXssfox0wlkIuUlTxOSaDw4FR7ErCh2rwFWHMVB8PAdsmMBGmDkBKPg+VR6s9O31SAq9TxgMZ4VE/bA1DHV3oj+/wC3zT7T/D+huwBNrnOh0EgLvD9MbY5ei2+hdOOdLzj2Lqmg6rgaTA2jszCF3ZwMIYAOnA/J9z2CLVBAdbHWKwtHZkA6pOhzu4rJaYUU5bE8Jn+M/rP8Z/Wf4z+s/wAZ/Wf4z+s/xn9Z/jP6z/Gf1n+M/rP8Z/Wf4z+s/wAZ/Wf4z+sHgJo9r09qJE9eBAUThwAANHb9dzvuCOuS7VZkNSva/wCdaFS6mV4NsG5UVQ2njN2BD7UASqrApbcPjAshANAB7BiAOnNQAry9WfKY4GJtjcn7F+idcjQ3KC2lHrRvYRziFEbE+iov3wKjbG17p2vr80+0/wAPxArkU0l/un34TqTBF+Tq8FtfjEYIjEfZKAAoKDsnUxstczm9uG828M3w8gZCNy5fTm4AZgOACAHQDU9pdYogO6ugzkkbgWENMXezzg4tuXwgcAkPAfGVKlSpUqVKlSpUqVHBgfs8f6r+8/1X94OQGAbn98GlOPkmn/NZpcO9mjx8ojgyoAbce7U8Ag+qg6Wu7CAoPo0B6AfNvtP8PxKD0OWJP0Aftk+812WnqyG+MOCN+YMi3+DAgNavdvn2MLToBLAohYO+qmJFLaU3SxOqV5bAoA8CAEA/t6r7hKgxdVxpPXizuOUAcOTN0BYPI6C4E1GiYQNlCO/xl27du3bt27du3bt0oKNHse3SpGXgO0CP1BgJQADx8kArxrvIvU2h0+UR7qhb+D9CGjy5Mb0X/wBby9Tt83+0/wAPxH3J8ipk94sQpjNcE35tLo9eca0Uss2hSzcDlM5e/sLF1KcmriSQdliIcdZVm9DkbuOHTHQemgIRuC+Th7rrdszotHC60Dq5RJgVZBwUCDrkZTfxvsP4fKBnwjSx6HaF+TR3NXagNL1B2nrhqu61+2ynqYNCIS6Y3lqvkwwAEAIB83+0/wAP6AofFY2geAxF0qXgdVtquAO2IK0bUuIOCGyti4O3kjBMCJDcAGg8e5N/d/2BF7gdgxm3KlgrAJzCCVTJ3ys0HrAHPwXH4Lj8Fx+C4/BcfguPwXH4Lj8Fx+C4/BcfguPwXCdQMFTWPwjH4Rg8EZIAVdjJ9cddMArl8/JItaRWQ4rTl4c/Jo5iDzBNPQkfrgdlEvsN1HhrxiowkBo8LbPkwGxRShRDSI0T5v8Aaf4fjl0wOvHQ6dV7HVhg+A5pEfHAR2NpW5EPu+ZaNcMiJj2BQi6icU271zIHukUFAoj0TCFvBg2wDja/G+w/h+qJ4tKB3V0ZTDqcu9sC3imm7iafidUWFmENhHUuvk0cGDLkXenOyXWBgj3ddB4Pnk6cYIqrptJHFlOHrmy0vFE2uiQ7LsfN/tP8PxzKiEkiDvQXfnFvs/3+z+l+w/h+p3orFDwbXfbnG8NsI1iYKn0WGLtyk/n7W+clmFacmmVPkEwmtzquDcvS/DKdjSg3abrp1+TRxMGBiAg52M89+AYATQQor0TkTEhLnMPL1V1nOJ6hFrRQjHPzeoux/v8AQC9F32DQI6GeD/bxgNYGdDqxQ854P9vGDGedgABDZPP6NI+ifb9S4RiVBqLZIBFkzRnAjp5pCDaFvPzObHJxaLi+j8oH1vTFVEZ7IOzAdNzphpRh8d+afEj3uJCirWNhPAAYbFBpZAGgPm6AKInk3/X6AoEcCkw9HWobNXvmflsQvlmo12HTi4yQ3kP6NlDgHy//AD9UrEloOmOYVDqzCHzzCnCC6IJaukQsQpLah0kTOosPiQQo2MGsoo3ynHyWP4JM4PvE8+Jk2Po8vlPKq+X3oxhhBuFXzPmiCR4wg2D0Hp9P0FtQ1kQjjBEPXPzPLXpS8iQgnh+jaA+ByuChtbO6/VOpwwOmGhA70lHD41ptLNYL4FjDauhCI4IYpRBF0G138wmxxCFfFeCHkFXjCKw7CDqd0n6B6+8t7EghtXNubwjO36H6r540IQrI5X7B0AK8/NBqvx3HuYzT2Zr6jE9PyKAAAAAAAAAAAAAAAAAAAAAAAAAAAAKAPWgySghNdeB+rRSyCbuTYqHgt1m3wRoEk0vJLerjCcQlBdwEvh98KjVEA7rhwTpUTuOcMe3PROX5NNjq0CqvAYO6/QxPqsH/ANYcg4YMAPQD3XrckF5VyFbwoDFug+r68AKEFNXaduxwH/an4RsO9QbHYVw2CUUQGpF2JxrLRamRweYJy3rfvoQTFGVXUIA3zhsBEu0B7fTJlL7dMkqcm+OM4UJVu85Wry16+zb5HbH2tUNdn4l4evjIeErOD9ga+Y6e6kThgUqq5NraUJivQ+qs6uoRsFNXadDtwD/tVCxYcYob6lZWg6I6mxxqxXESzu5ZsBiRl6EMZAZHSPV7/wDv92AbRHZwX3ckgyCxpF5ANugeuPscqioUejafvjhgLh2jxHBlnKEpsmQij118ijh7XPsdPVYHriRg92k4PA2//fdCBxoXaq5tAUgxivQ+qs0qBqhYkR77B24B5q/9qFUY402prBRaEUadcp1JMdSd66kx8XBUBEKiK+ffM+SdFEQFOyOGYH9AJQqsA5c28h2NY5K7Ulau1cEu1EpANABJ7JFBV1K4unL1fIo7w68W3NOg2P34w7xNZ2/P6v2nuPk4QFKqub20IcbU4PqrNK60hsY09t0Dc4Dyq/8AbqFG1BRpUpFNJcMsaKgoPUm48rkGAxrhRqgeDQ0B8QoOEd5beZo6T5DHQwBelc0ztyfQOuWg3jVF63VUHts59xb2JBDaubdVhGducH6r541KII19p25DgH1X/uAaAeMEsKikBtmBcuMNp9gEvo1zEpRPMeisRP5N4rIcVVAm3v8ADKlQaEuZ6mprp8gjv/EnAG1V4MqUWjZuP2Vo6ydsL78OAIB7XrYIDlVclWsKA7boPq+vEQ3CmrtO3bgH/GgUBWMnKUWU/fOdDTr0BvtshNbU+os8/KRRUDxR+oBjrgoFLJ3QpLQHXux3O8t8r6lpOG/ENZJMmHYJtrp+ujgy3uwYtfBziVIbcHwdmTRajOAA43F7gY+0fLyNB7BnrXr7UgcIClVXJppCgMV6H1VnV1qjQpq7ToduAfOqN81580NPjvCDBAL9c/zH95/mP7z/ADH94mRlEomDP6llUDEeZ1we/wBtuE85w53rHlkkdp6hxcB2axW/IXSyoh0j1yf57LrJ4DW6ectmvAiIiI1hxq4uc8t0MR2BGRpxlnWc0cXRNx7ka4fipk5hAeg5dMmDdaKbNEXoyTvMquVDF0KSDKHMzR14IKTZFNKbPkNnWIRY98bwljKsokIKgvExGNUWrXI5r5yCUXBE0bbzpi8sw1IgMhDbOnp8OOHGmsRcRa3uP62OOL8/vQuPHGCSIgfE9mgwxa2kfrX09rYOGBSqrmzhynUV6H1VmlQNVbECPfaO3APNX5y6PMLjpoGDaK888fHN3K9BW19drxxvPw7P4dl6f7bMkZ3SHcZ6VyRLVWBOqOOmBdbJnwnDOzruJhNqXFNBx+4Dxp6VJthwmw2vnKIrJKk0Q23eBWwE3EGEOqCCL3wVigFxQIVUqG2zSosiYEXdwUCzqdXIGqjNNuxLo4wjQr7yjHezXJcBC3w6Er9AwRBoJHyOqE50MR9fizyHpKwNhGk1+sjjXSKnSp0qD64xJ7sS4HHobeVx848De0bsvcfpgZOslou7Q00NUnOSoRrtbuuvsfBwgKVVze2hBjFeh9VZpeNdaECPbdDmcB5VfkpNRQV31V9sAkFFE4f0ldBSWIpjxIUQHIq8Bd/pGRG1HdLL9Iya9k4v7IpwEiHRBO+HX3KQ9U3rh84OdQtRDTzLzt5xPuXEWqEa2wWvfAWUFRkSYIXYO3e3HvSO2iOucUgsUscG6ihQ2GHLZTazFKOM5EprxZXV1MdKruxuqA9LDplc26KzepD2B0D5E4HJUE3k0tbFCCLhYLzRQDkG3M2NYVq9ytzY6CTpU+IOPDLNxFtXTr+sjmyAjVUPoF+mWZOmTRJ074MAqlgDaucS8EDVT6X9HsetiQTlXNkawjO36H6r541iIM19p0OQ4B9V+S61avArDdy3ULvSF7GXVDybxI64lX/1CTOJSgG8/pCQoBlWBtvLFnh2njHq8A16MFahNEBCrt0cu/0YMSag1TWkd9sBAx0UFETkySz1AnHUPrse1xigR6wucUPnDsXe9vYWhPxOIOEfPs56oJoFQ/bJcnui9Zrlv19vUaZRZRuhRiKklHqYokui7GKU0Z37Y0T67OArwWnQ5sEbhQOEeH2XOm+tpK0QSH6lYP6aNYc0kZuLhMWhqo1DpRLYO2WbxeKQfIHWWFnyKbH0SsSgHD32B6+MQu7sVuI8U4Jc9xKb9w9IodA6ROphLKc1LXIDlA1veOX0hi6EA8qXo4uepOo5PVf+Box62CA5VXJxvCgMW6D6vrwA6Ypq7Tt24B8nIFAb5Dq9JMJOFDxDHKpSkd0c/X9IVX5KdWNC4bKPPOXlo3hPend3L5SBdy7BGHV5fjSdyKVuL9D6+2++GeN/yCKcKaysx4CtgHkWnpi8jm4yYcoHd5goXSYudx7ysDZKCyt08ZeiXrp5nKJexvD08K0IQ1NScXeIxOuxZpyOqYKQM0RIlN7xlFVVeus7RYpIBarav7Y1EwLS4DFAjtSPOGI3XHqnSCJpb4MRgaEgOQ4JxiUB/L6LOoB5Lm57yZ8EozdBHjP9TtjIXfGU3VBg51xWXQFU82heeodLhR6v3IMNrspG4qIi0rsgQRK3OUVrW1xgJNGF48c+YZXa103zhstswZDbFraXeCDBVyVzlNJf4xBGXqqLEy1fpnJ/VdID2ActVwG/Bt64NLOlDP7MjFCQvlf0Ua0TBVelErBoYEW1CK4Js+2bR5zT17Vh7A6fEiV1koVUbsJrp+mj6hbXcofQoi+T2G9Mg1wh+1fcUgh2AKq9AMfzp00GN+wP/uHaD0Qf31+uJA4SFKquQVylAYr0PqrOrrUEhTV2nbtwD5QXE5eQr6B+3hw+KNIQUCBGqiXczQyCW8FJZtNWAn6SX+2B1N7XQQdr2y1zkVhS9VWHT49OIjhJQR3H3JkyYd+IgHYDjGQr4GaLar1DWBURqMqFULoRlwrRLN6ib+obJj1KtYnKNWHdrB1N9uz7E9+HDFri0Sc6b3KHfER2QyJrG3zLBmMUkapNcCJ5kDriqyIKXSm13Mfr6pjAE2wDcNYAGarmYTMWFOLeTCPDW5GLQydxTAAAAhOwLfvaxCOYOUAACg9OuONJHdDkI18kA3ijoETzMrFfgkrfGmqTXsNPLKygaIwHprrnRzH9+DCpOtxcDLiCOIBlBsy9n2HasEA/ZONYr8MYFBszEK4BGqcShFsoSBseS6+nXqdK4IqY8dsIvrcBEQao8F33w5RKoDwmuy8YNY6CMXYjoP6Jpb1OlqPlUk3ZN46q2zP1lNSBqHnBOpuJBVQZXqV+RTY4+vh0HZM1t7VJ+zNOMgQ9y+KnVKJvdo+EO+OImDdHi/QP3xIHCAu1VyMDlLranB9VZpUDVWxDT23Q7cA81flHW8YReiEQrEEvOKJsvHhKh63DSCDRzgXp4A8fpP8AK7s5A7bTP+BKAEeNNoELDyAxhmwyTm7jjWtaU3g6OmhALwNxP395QKsDlzhj0RPqey+645HmHX9dNjrJsW49S8g+WHeOFdDuNtW9rHs3D8OEBTaubhkIURU4PqrOXjXCgAj23Q5nAeVX32uOATcdCdnDoll1C3HVu9fm/wDld2aNEerVQPv/AMCKrQWKKxTI9OemCphmu3JooaHYnOsHI0r6KVpoYBBPePk+9hEYIEy0F5M32q2qtWvnArAtZTkfpjenjfyQaiQnTYA5cHDyq7di7KV59gv6d2OrVoO7sw78BgkD1yXcdHl1hVH4Bf0pv6YJHueXQOqYB3ciag7OZ3XNfLxGPwaOHcvYysuZATtTg/wdeNQDDNfadjc4B9V+C5MYF3CPuvL5v/ld2KIUA6KdX/Aj4hc5tejAeZkgWz1Y41pHSJZqi9yQSAGqEoaGj36f2DIrRMQ77TbzhDEF6QStcMPfCBf2igQejaPUR64vRKt3bHBwGNMJ4MkEeCj6a/TRzFpzLUGYiCWrUhJ9aPrlIjQOC0B0AmHQQrFHCY0pbim746Ed0dcVTYUAG+pK7cqS6FSblwfqa6ugDTFGptO3bgHwwkKc+/B7ehnPzf8Ayu7JM2hUNfb/AMAFUYzTguZR1Dbl35U9kVpDFGKNtRFfJ297hat0ZR6imb2NN3lhfK4yiIqL2+bb++LE964YRXrTeC26UOgDgA9g2W4E0uU9T6/p4+iU7BvpfpTumMCs8a8g2GPjQHid1efQwl+9BzBeCn6+DIQJSgMV6H1VnXgcZgBobToduAfEEXruLnd4m3h83/yu7HWgIF9A/wA4qIvR2A/3/wAAZ7JEUqBAEocAw11ifmhmV5mTtcQqG8A1fA+IagiNcur1NHSfp46UhiOSEB9G/TEA7VNep1+uLZy62mvSvTBs2CWm+yfVWaVAb88EEHL2Dg6PVV+IjERvsZvG3p1+b/5Xdhd/Aev9JYC9p1aF/dfGGtJt6YfVUA6rmhIfDqMfCInRE+YyP7wi7nFEHoo5xzqJ9NqKQdQvXJelyHUBCYbHCor4cnWQCCXb2rU/Tx7nBv7jr6OV/tMJC85grGI8EC+cPhsoWSbcdSrrl4BoMIEnL2G5wPVV+IPlYQHhvVd8fEihj6Q5I9aT9A8I6RQOAOcBKicJtEKK0izWSi2LqJT5L/ld2Fwe8e38wmE+28XaLD959PjJLTR0JPEX1GLtxw+YIi0uAuOThRJjRUscoMJMcTZxABDokOcFEKVwXnWAPAqtX4ZtiGMzl1NodP00cv6LdToHVOgwwg0QB2Co3yb8jERcIdJ0cP8AhzTiAMhlew2HQfX45aRKJu+ep0fHAK9N4ygLwUpQIjR1OMKUz0Fpb4KXXWHCKN0Ah8lfBzcFVDGwzU6Ov0IeXDYgvp1GyqKHZw0/pACwALfPxTzijeh3/wBMuvRN52f8PmLEVEr9zY77XDzS6xN11R8V74BbiQMBkJQX4iPKGmsaVDyNrP0sdA/YgiquBmq1+m14U806rkv/AKrS6Lpag8r3cOoEloufA6HT9AgyWJ3O+36Hk18fSuhynRQleuddm61ZDwv7IzGaAxrUb38yL6/Jk7FLEwAdE6dce1MXAgp98WhXGNACycwF8Y0nQKnBYM55fcwwwI8rNrhNNS338MMMMMHFzAYhgaHYpyHs4+RYjgP83jGDeEE/hj+/zBtRY0Oc+3iZ9TXWpu3CjTIL9ylwIfE8Wt2sFtI6/RRzSxwJftnCk4gfqYSIAVXQGNBl62voU75TrrDu2YBsU/oWuVhRSktFy9h06PX9CakwHo753jXj4yLQkVSAGRltW90npNdOpgkOhkgODZIBICy4oK6DBvyRYJIW0NQ6Ti765POo9Agft7w14UlQIMYDY8a98PdcUSFTEhsDj2EODW0DXv7Lmnaww6n/AD4+fiM4prUTNa6df0McFxATUtBfTb9MYhVXT/dsrhqdVQB0RTBdCMoJz2nd9MbHI6rP4C6mMWATQYQO8ew3Oj1r+i18L+y81d/M6fGb5xBOdRsexd6wKlBpsrb3Vb1tyHluIilvmhq+T2IOZD3MQgfSUYqlxgCo7Sbfkk6EOnQL1JbrtN5LcA6NikXrNF9wEVANq42sesujaglSOm5yiZdOQCYdNqQulWrVFY9DIvRcfvjtDwSCwdE4TonvOrrajcqTa6N+cKedFSylQs0y7kWobLv26/8AGzY6SGKwByrjgHZ95Ki/tg/gyNL2DsfXIk8DeFqH1KfXLcuIR2RyQUH4OAeoADnnDwm5GNTcC8dWG1wyAwsScvYbnAPNf0XPeIOAgK+hk970UlRHX4ru527p3fVRdQ8uOQNEVOtTNtWvK5y6lWHgcDDUiGqmBUOBfwAAOwY6NKx0DKRle48BQJ069kX8HYAIAfJZW5Ktkhf7Ms2iA60BS8wHp7nk68brb0wY1M7TBHZRUR3cDzLwokBDE6Eewfqyx4JO8xOqF03Qf4Pe53biUNtH1y9RmKO+5IU6+Lk+1qAbFKn1szYPj58aAmUYttEonhx8aO+3UHQBD0r7HPBNsYKvohvtfYQHqTNFvfTq5dQYUTKC6MAeleNuBWGets9h06PW/pFVRl/hq7508/EAqgaK/bK5j9vmDQROCCJgrjhLjBJb7/z1hR5aEoQu5WHpcToNelTtNRkWwa4nRrsx8GqvVX5Mw2NjUGtAFUnnFIFBgJtg6qhWa5X2kdFPdEf5xo5jFIAShiNc2eGOq8uUNHztOTZKh1qimJ+kL1M51EL4+qKvr7yXgd6QC8PHODdMd3Wv2yEtJjo6j9W5Z/KSwr7/APGTY49iizTa8OcwzCreg1Mh+brsUYcMpPOOkYrp1O2Oh1dd8M10ioF8EOh9DeHQKS3dPYdDp+lfJG01vXQ58Jp1v4YBVgbXEqQO5gYYdXRALnGwAPBIqLRviugyxhm1OkNdB64/i/V54sfBm99hSy4WqKrzwipYBwHzYr4UV4wvkAroMz5jkC6m6DQ+VfqwiWn3yS+/zjxMwMPVcEHVAT0T2EMY1CjgXle36CbHBkACq9MvnlLR5TWADS1lkiYgwjl+nW76DnOcf+AWK9Fo9AbcPgULEXL2HTo9f00fs6h2sc9Pfn4b8BDlaQOFR2AV4wdgQqgAQQBS6zg5cXqCAFaQbFs04k/1XvTaAG7yOnnJ2wbqAy1WV9fm4cQnvmDHU8v6Ifw47JmKn7coR5w0gDnqj9h9J84ABSm5i2kAPJiIaUxALFGH3Y2a5yIGrlT0aAhoVzr27fFNjgkb3Fl+xX7YE41nRutVsPiyLh5UhQz/AOC5XuuGUGS0nL2G50etf08D+xcGbnT0vwh4we7oZ9sZXQPM9MT6rgsJTLE5dNGwFTdvo7NogVKTqXcXENmsWvJv3fTj5xthAH0NuAHhT9X+sML4QHSlKu/JRTrhV4rhFlDSPnT5ZJFwgO5uKff5uLHVd2u63L64CpgyjCp16jneJ32TjaCeJ0x17aV0rYXl6UdDpkDX2znAjoo+nxY42iS2UP3NE9MUZNOD2jjG6v8AwR42HY2AXDkACBJy9hucA8q/p0Z0P9+TQYmYGlYK0M+Cs5IsZ1YMDbpeIYaLB4CNMOlHJQylBDn2zwBaBCsxOu/9fZgRAAURgCs0EwLAK/sfOZdWvWgB93K/zpHXd+65/m92I5WzEGt42B65pTGGjdcp8DpydcAuVOX6nzZQ0rZLnSHkp4zwuXP1Nl0rDpMeWGsi10nLRDeWNA7hSoqPRp49savL0c6X1Scz4ccK9is13fgBXOYHp4pSfzcaC7cZeHAFPEbqOX6uRJ1KWDqRXzjR0HU/kVh0Lr6v6jnQGnua/UCOdG3MeOQ0as8fAdG0EEVVeDARkNXZIcUIqyuXiqCQShakacqYFy3SVAUtZ3iLMXM+jGWO2AbdvX5WgQAqrAO+RwE2Gg92HqeON/FugfBPkFDgiJI4BQjYbGnXl9s0P35Kgj104ABQulMIAOUYToUrvimlRajeA48YUgx72hjB5Ze2TAahGu+2wxLtq/4F8YvFXTrPXbluij44Volq+Oos3z7kmTJG74QRQNInCfM+iNWZNE0ph0nw47NlsOoFP7J9fYMr+EX+Rfo4Boziy2+B06P1QqZvdHv+8p418AgIxqAAju0cCPfCzAbROh5WTJv7dcSW3RAScORbrOsTHVR5fZAEkcxqIjNjKMclbHAHZtZrfTpvDE0XrXNYCdiogR8lZ64VthdQIryrCMjnaYlKtu8kMLWbx+o8Rsh2uKsK5exgN7i6rspswaabW4Wp20mjlN9SzdzwoI6RUlBjlg8EqsDKiJwV2PFzSYjodWqLFB12amxTQvttQDlE2Mo65yGQumsU1Sb0ZeRMvSRyYKB1SUAy0OOnlYk4mzmejTLNv1Dgg6qY/wBUbCvIw1xD+hCWPy9WdsD/AETqYb34U8nf4wuU69IVurBNdnPw7/3Pw7/3Pw7/ANwL/P8AnPw7/wBw7Fp2f+40TYkXY7mx6uf5f/uf5f8A7iLf1B/efh3/ALn4d/7mnBKUSM7uA8eGiusPzMK4ARAF0jq1PhR0IsSgDlcGjxfLwc+jjFpGjoAzYGpzDE+319buv6vibqpau363G+Pf2aomWR9BRw0uAKrAPK6jpMRlWgJ3BboCTvikRR/VAWa7AN7ce01zhEUAC99AfTGDHgdNRMIi+eMRNJ4+AWIA7rw4x54xDRUU1Vc0Ms8qlCj1jOdADAtHNUdhAm2lXUEhoy4cVlk4lOhwsG5Ih4xRNEF3p3gZ+pSxUKOIl5BI5KPBYODqxGuK64JxDHa0TfOk5MGWKYVEdujR7hMREE8tFXvha3rCTD2zId8pfGNTF7PgNnEXVm4EbT9RqJRQ8uJ6Z4RTGKU7awXNYRyDACBoSr3hk74Mi0/RgA8AH7ZWop0+Lwdh+6pz7qwroMVDnJEfQcTImwgPLikrZGPt7iUxqpAyPZ1CT1mcFLCB++bsJC0fr8yAiZGiDl4bQ6fCjhKJQ79j0fYjjLJ3An1FPrhx+rex1gSOe7x4nvD3VYUoHdXQZdvPXUpAM12S7xxzlXIThjtSkRdZPosAfnBcABQ4Mn6UA7e0kTEYh4V0Lfpg7iqeg0CDpvi6MMrtTiDqjStok7o1DOhB2Wqq8Qxzeqyq0N2BeEOcuE8kFNjnkKMrMUSW1i5aCo7NDGUoFYDjrQUa7hanTHqNRbHDbsaDFcphOvXDbPFAKYvAoSuCCXNJoJxb1TO9xWgJAJs7SFKVcF+fmdFThIqzgHAAZXsdBIOhEO64oWSW5AqeEhVAbafp04Fkuczq91nVofGO8qajDWq8UI2XzIeXEbnVNorO24a5DGjOws1SSbwVFEvwzuN90khyoLJux6YXIuvgPAoRANY/SpTUxk4I06e5Crm23UI0a6t45hGsmoltNCw6zKcRvNpoZhdKd9BDbvq5yUcd8D317bgd95wBE0Eb7qYnEk7SHQM4JIErVLpNsJZW0N1ZxMuaAgA0LEEK/Mo8gttjQq0bu58KPcvpdTyecbPXUg8Eb9Lm8SCx3jhToHrf1jQqx0e6R17NIMWBZUIG/BvBMbrJGs7oFxUTdwUkMouRVSmQQB3iiFWtmnGyOiRa91kbSFBZDrSIsbhy4VAzKqwyNkTIL3cHcNKFGidQGmmpHELXtKzCTUSUAK6wZw3xAZJCaUN2jjbSwQwGa1BGoxXRRKCcVF2da3st42sqr3AnAuALwY4hfJiA6sODaaRNZ1fuYHAcRKqm1GDspNEetpZGzRqWUGXHsOndex0dMRisSJQB4aDSa7YXG2ymIUwsTYChGBhFglCBipWXDwzq39MuqPl6YvtZu8iFTnePWEBFgQQ6ahKpzGf35DheG0G31a/XCYuUTmnQYbxcZLkn1nw3Kc4CADl09O2IhQDGuZ2KRuj2xCY/LLh7J09PckekVyNSqTqNpiXG2/QeicGGjYnOTWOA6Y6JQHKwcmJEQOnoPAIXrO57ixNsrf3kQo3ibmDRek3yCeydGUDJWHjwps4u+cfwJ2yqDUlTXzKWQ9aCCwjSUnyeOFvxSfCEFPXNkHYcQFuDyvX3F9GZgCqvaYI5TlOqtVgRLssy6eLgnQUUClIxi5cog1F9oRUNA094GyEqazSktdSIknR5L2DY3pkAOpFCVDgAKzhDas7MSUp6Km5VyayEVyABWaA2BMasdYHmhAVmsVNXK5Ld3QB4iodu8EDlEHXbhqkFdBzsML1GRoCqgQFIBO0HA6TrlAicjE6ZOFWgGjYBUS2TaCPD84OwWRec1pMLKysUKh5QBLXS9mFaCSHJZHG5Sg4LU3Otu2AhVW72i/pi/wCZWHXQTcxlh2IGFeGEZV7Wg8g31U7rFc/Qwm0jdzbctknOF2VPT4YFojJEUPIikzRrQDmi2TsmnuiGMBptj4R2Jswx6JqeFIOiGsgMgEgUGiJSoYuDb2Qr054d09w3zV6FLBEpUMctBIJk1ZAhoZowqqyS7evLe03hh2dhXlp8pL8yFNxiD1SNX1+UR+SPd3O17u71dvco0yYdDEg5Ije2aGRNtFo1yQaESGAmhcRh3TQ8HrgEAAQDp7xl4gwUU9VVfXBKjnjmgsEm+LrnWcuGKIALnAMEU41qVGhwqOg5KSK7YyShZRTwMkspyFwNyMI5LECdox1wa4YUIlNJCqHnN8CJHkSluxLujTFOvpnQOwCzdamFNxiRTogdEgQ3iYzEYCF25OqanRDBhdpomQeBXaR55zngIcIguF3qvGDJnw21SF0NCkWsfRPArNgvKHQO9/p+U06d5hFpQO+Lhwk0jxrVE3M1cnpMZp8pORaD43iHiC54zpeL6p7HQV1XOjYInIkF8mVg+j2Ayw5pkAHK16ZQGJTr+h1qWrlTsAdMsnzQX5Q7HNAvqS+kXx0M0+0SDrcFihuWgHKPbJCyVe7CF2PI5P8AXQVOsDe0NTOHTcH9D300jANVLv6J++Aic0KjhDYFdjUxP4p5QK61E2cYjGDWBdvFKXsXpmi13LWD9CvCpxkLAyQIjOFNOG80UqsSCT6LMeKgsUaTYnCd8MkHaU9hPSHTop0yvfw2IA3lSDiuKqUbu6a9ovTg7MVCmJlBUHbgm0a3Lo0jCEPghdtrM2xb1cDbRUgs31MVKGwmdAtkI8wf05KUImbauY846h3EYq2vzgXJRtyneI1gYofjB7hvwLhGNATGLTpHa4xibosVHBCPG5gI5MvWRQ44Klk36QI3naGIhhWR3nqG4AQ/Qu738hQeSuDsp3D6AK4BosRoiU/n5mbwmEIW06BNdOPlEdKGNHFTfF1bHffsuq73CiMFYVyJu4kitw4ebKrQEETOEhCCGraK9RqYUuoIB4D4AAWhtcNNoA+h4yVAMEQHnkFUTu6XLahGIyIqWGxMuvMkMPBUp05Y6yjPRYytMKpLJgtOv46ESgCUct4yiByejT1iKp6TJbCQ4zYQLaLAXjFeActgoIFHMpbzinGpAMZFBNFL0EoiUI9k0KCvDiGhajAGnglaOCho0UwwkkIgpOhrhazjDuiXmgAIAJY7F0YFzA4NwA3Q74A4NfqAK4aHI4OeEFQx2v0knHj7sxtK3UuInxEpwBgJireEHnEx55tZGuhtg1eq8SRyI4SP4XjaHv3eA24EEBBiqt6He3t1LE7RYWF8As/QvUSwdoR6VPUMB8LAcFT6p4SPMolVP3/5tNjoQOe02PZvIq3w2RM67DHoXTrcqeVxE1AxSBFSnRAU2zcwG0IArt0cvweEh9kcJ+7gv3kGAAAa0KK7yps2JyBGNlIyVRgnqztJBowZSADXHClQXWcTKgt3mdAkaiq2BqFHK+txMtQFhsJJseAa2wybw0TejMhSyKbEcANsECC2RhgaDpwAvxewlCg0sVqldm3bB3cSjQ0GOhC21KUHcA2iJoXoE3i5/YpfQmwBvCZCH3RDA2wIa8RdaPRwCBiDZ4BoAP1C4Q7OQ79wmN/srjQu7kwiBDt7ArxcuEk5lNMKEYeygh64pYDoDDoHr3eA25MC0x6hb0O9vbwF1GxwAuNGKQc8kF/QdZxgWP8ANDCn1PS0ZHmnFDeathKnysBlQDavTDpKgQ9qLv2ateiUeCqFwGxqiidEcEQyM6dAvK9D5VNjkecx0FqAe+Ek9RxIrYlzsz1FdpqSHmhoUWi7Y81QWuzHaYPekg2gD9D4H7Z4P7Z4P7Z+Ezwf2wBoD0+Q0VKw29kCwGnheC6r0NS45HxHiiK6GqepomNJ6AkDHukUIwM8GFzvEqeUfHXinJyfS4QSAQCg/wDm3yYKBEuqIn7ZNcl1oWvt9vyuz5+StuCHI8jeEU5ZxUKAUH/t5xXkT/pQFVFbwdTE4igbkiu1DoGEw8FYKBUASyqHtKzF+U7HU0ttx9O8TpO7j2AyLur5LdRWBHjlyaNp3vmTcmkaecSPUn/aYBLyN4h0iRFZdKB6uH8QFcpZ+7NVeBKmy1RrXHGCVhtKKXUSXuMsDtbaGxYAdeGCIMlGK9RLysGvi5MfLV34OZlbvkrAmxuyTXHOMRBKdRZro0wqlWQCvRQib55xqggWOfCsnq5wML0QFBA0FdbPbGVmAtQliC4OBvKB2wbt1b6o8YHuZwRZb2SW9eMRm3ACPJIX0cZMcz4Si4PeJchRF2iuRB8aurOAgmnnriiL1NYWTYhScG8M4VQFH3QAeeXFwYLhIE9TjoqFXzP10T4xTrlhIQjIBkQsNNj1tCI2mBCYbYZTq/Aje+DPDYPjWT09t0R2q8HXGbrvAEJxs1Oc5ytab8XbpZowwiKk9bhEgRVBLv8AT5Wx6uYgQ4DVXs9sMGuRlFcKRepihqq9oBHYpvzk1M9JAryE40Er0GAagDOE9tKAutW6i4HQyT0tO7Sgjj/qcqOFe8D5QJWKBbZlYaR6+6KAhwsoomwHwuPmrA8wAP49xQhq4gEZ++Hv4GbWAB/AnuhC22tLJqit8e6aHlJMHKsUj0PdfZmPqxUdXC4YBfH659c2vnLDTgbcopSEYVjRCwG+JWwRQjGWUx3ZEHMJv4zlAFV4DAaXY1ceiJZiT4lF5AP75KuLYFF+EEedmaHDo8Ro6OtuKYkZEKaOaR9Mb4cKkB/v5U+Virg6DyjuI7e+d3qZ+S6+AmIMc5kReUlDpm7SE3a3irs3FS2PKOQ7TqrloWq7lmTR7+6oKsPOfks/JZ+Sz8ln5LPyWfks/JZ+Sz8ln5LPyWfks/JZ+Sz8ln5LPyWfks/JZ+Sz8ln5LPyWfks/JZ+Sz8ln5LPyWfks/JZ+Sz8ln5LPyWfks/JZ+Sz8ln5LPyWfks/JZ+Sz8ln5LPyWfks/JZ+Sz8ln5LPyWfks/JZ+Sz8ln5LPyWfks/JZ+Sz8ln5L9elwHDdZrBFAWnnJTKAcmpQRecMAj9lzfjIYI0WAfGqQOpKiJTF7yDuKwXc9VwxVE/b+EH98Sa+w6bP1v9cBmcK0jZ0eMI5m0KQYlsYmh7uJXZfDdjVoyL6XCJjUSifMzCVuTsoEopzwuTV7bLgBWqvXPxbH4tihVVoSULHW+c/FsWZ4yZQgFKHXHdf6IgkDQ645tkVKqw4OUTxlVgiagkVPAnrgpAYPUnZM1tOvXFEXHiAk6FDjrbnCYqUG4JsvDTDktSBAwBC6V6HJTeliYC9Veufi2PxbA+3WhKgjQ02eHIH4MjAGZdxSl+jHpkpjtADYat3G41ZEhVyjtE8Y4oME1AFT0TIfegQoHfDjbzk7Wyr8ERHOhnOL+DWBQCClijtzg5YtjVTDJdro1gAJ6YAVnZXPxbH4tgwbJC1wg0Rs8OM6yDwxQ/sJXgCpQ64uFeBAVAEHK4g6Uss1gNnKJ4xriaCUCCpvomPJhcwg7ya2nXAPglvAIBtnR5xBMNUvogqtMMMPqNaANCihZpwixkAgof5Z+LY/FsDP/QETEHY1PDn4tiQilCWAVKLExwq2BRbAGuq426w6wLAbG09GKj+0xQ3JN9E9cdbFtaNHrJ1tOvXIitldOgAqXTrcVJ9w3EIKbo/TEcRAPwQNC2Q8YMCMDBQs+rPxbH4tiYt+wRmDUi0Ozn4tiygJy4AFSncy2ROi5wAQOVwRBVklMRckcDjHE/6RUoEj4TJt4gAaJHI1+7IgMUpUCcs6POEaGKOAAILVTtiXpagJEDC0I8YlZavJ6fINifgN4JB0guVYVaYa44XJAA7GH0aqRiI+m9wfwOwB0ytiYEO3UfhoGQBRWBh1eBUnVOSEp5wD479FH7Bn+nxyiyxsGU/ZcF1j+/G416tHXJhXqbdL1Iv1XN/0jcDuu/2YOkamj6Kqp9MbgUuiGcF5ma94U/8AMMVBlLRZ6YdARUUP2cdjHKw/Z+WKyUal8BiGEARIntXF5Gehwx9hkARCidsGcIBh9DLuRQrvF4fOFMuAA7I4HMOEHFNOJOmFREKBg4NJnGbXF9Tp9Mvj6scbWFcCIKAR5PbgRgA4E4Y9c4wCgI6R65TkMMOugygrUKfcvDgvPgwHZHAoHxR9LomBjKARMadmag5uH1HT6YQulEKbWc+rhQEiafaF1YBgTh319hgAREonbCcLAvQBrFcrBq+49MK58EB2RzU0/C+l0TxkuAARM44TCiVHKPl0+mAhfIIBhtzT/Lr7RYoAwJwl6+wCxoCidnBx3BA9AxxGQ6fcXj6YOuYADsjnWVKL4pxPGFyYASQ4CJrNK/QX0XphQIg3u5Q2+cMNImv6faSikRwcJeE7+wKhoCidkwNdwAHgMVNyjqvNPHBxmozoXqBxUn1CvsnE8ZNC0YJxB1rBE2ilF5B5MGmHO/mKG3zmn+jXyTiCumzB80lGmUSCWsVE3KembATvhzk62KPOSlz8HRNpHfWMaZ7jAKbCPEzUmjwhIBxXnzMmtvaGAH7Q/bKdFSrdv15eFw6t2/XjurH6+g+109TNUX1xjlrucGF7h+go3SgYnXjFChzSy6T5BiPoTjfWr0ztsxgdhv7FJkqH1q/gZzaFqo7VQTuGvlj1r5CjgAAANAdPiP2joUwAAEDg+I9aeQo4EIa+I9aeQpgT4nXpUFMCHxN8IsFPkjzQXG5g0dQccgJ/XBKK/wBsLi2JfGO5CU5A4JtY7TQgjh5mnphFzdPVriCbXjLfCAp8gcDg69Xb77EsUp6aw6bpkyI2pPeKryPSxNumIYmkkwHYLX1951ifxZYpFjt18piwOOgK/YyxRi2Jh0FYtz0oDs/mWdjvhw4kohNOqieZkBQMKIjqqR4T0wBHfzOjGxQhh7DDsteiGAT1+BawIYJtemg+uIWxrgyTAIN7uHkIxjEDoKX64b3GICxGPBudZgsWCgGbcRDXq1fgtEixozgH2PS6SAJwVXg9hv2mHHuhD0y2k8xaOEzRrfwpPh4gjaFcrnkHXFSBpYtVcXp1twDcvyOqukyIdKwL6PA+A6/BdpiLwFurSujtnCAtpO9gNgaxlFzAjvgIAHNdfsKIy94ds2GCZVAdTCvK+uQnyaCAY7ovm++GVHjVaqy8ro7471WP4wMXiaBmeqWPXTBJXACEGlCJvTCmRL6Bv6LLemvOCr8am6+NA8Mq8o9pAG4yTnF22RQircTTuzz8LdyApC9PYPNB0H7P0jWduQ9MLhO6/XCBpmL4yONaEMJF+nGOVXDTQ3V9PHR7hznQvq7RFt6vRmyLCAvU/VOr5wiJnfnLdGWOq/AYr873gxPt1xJrlObVKddr493rMQBIBwOKoXWVG/K+tYe4NMKsNOzwuqchbN4zQI5FckWx8m/cu+GT6AC9Ba7mMp2awaOjGJpjvWFLQAwlnY6kJjs5gvBJ8nCVSA7I+7hLLjQCCdMpyOkCVA9q88cYhQlOmsJ0GMbBpIMYvJth0HFdXWNCbn+h2/AAJTE5YoPUeNDs/hXYpCPbJqmaKyC9zAJBRROH4iv6xJ+SB9XBXWsm8roPBeuK72BwueFc2ExdQz4P+N344+0ZhCXp8ebHSn2uNd2ngOXrx+3w0uGzOVgzuRL4xPq99c77BDM1CRgV9yjaPRMqJdSQk+rHwDAmxqpAJht1UZTZJ0Eftgy4HKJV10HrnT9Bogae4R+2Ofdjz0Z2A5ziDrPQvugcRiStgKHZuM8nwqohHKWwACV6gbeMEpstIgdYI8se2Xd149gNjiWyJDs2mgTxH6MTeUrBqVNgzV+aFw/pbJcG/gyOvNsogwuucZ3BVj5L9RxeJxKmQBY0tzyv8ALxZdGLO4dfGQXGbUl3snD3Q8skeYHo4bo9sMbWGWCSBNFVU5cJMi5Yir1EH0wmhhQsaO9Veq79qhe2AyS5XGBSWgAitIyVR2EKwArjV2biWvgAip1Wj64IU4EhQM6FQPlGkgDYI3AZpSautuPsmgokO101f21gprKxzgpNjsSIgkTOJsC9mheMPATZgAgQw6TXDUR4EPG/gGWBEKJkqWxqDoonAd4eeWJJCkeo9cAcDaqGo+gYQy+1NNRwd2/CU9e44iMYg7YJEnFFSIZ+2AQcmhGl3FpxWATSPMAE6qvUj8KhG80YEf5wsgK0CKwXa9MPzUJUmqmuonV5Vaecq7yu7VtfoAAfCFJdbSsMNXph7kVg3QiE6XjH4LWwpTtTXYznTOvNqdWDkZowoUimH12qqq7VVVffN3iL27o6psxGlLCMtoLxXWDxgUHGgAFyKR4zigZVYslHIwNbKL2CkOKJsv241ox+R2ifJAE9Xa+K4qLafMCCP3H124+k5bDkA06AHTmE+FVzu9lUh9A/pmjp4aW2Xkyb2ZFHzoGJihOG4xSnGEj01vJ0xLSa5WyVQf0LU1WZkzmLrB1K+nrhstDfpguVOvXColJFypSmwY922dkzu0HwCvOSDok8EbdAco2UAJRrheuTib1v3a35kcLKIEtQnfWLMG0giSpy6TxtVnpodRC2IuoEtcajXq1u6ka2I9E9x6773srrK5dDVrjdsgW5Xe0pvk4BwqLQ9aAMCKPEbhF1tcAByUF/7k3q4XC2Q6enGNUAbUERHkwitQHRacb0+jAgHAIAcAZ/nd/6IN6MTGQN1vB4xbBNgZXoShcPWm6GFUEiL5wkBEP2wccUlODDXwQDgnupTAAhoxBIl91BIl9kFs3/AMEitQO2inSYIIduhJ9RM4b8kVKebI9We+/0O74xeqAHdwKxS3g2A2Xfn2kkdp93G2qQOqmS+RugvCST3Y5qJHURNaAbyTr8p/zu/wDRrQPZ7YT01U5zizCyYOwJDdmbgLKIS5IDV8sDMBAP+aNeFagDBbWtVWY6HB4xspJ6Ck9iA6Zgl++0UIVAM5dxy38Y8kWJWV63AgmglqXAAWd8Zk7A2LOB2ulZjLW83hQtUC3ak5MRWbPnUfpcdKcN5UX0h+mOFTHGD0AzwmBD0i7YVArO2P2q0Nq6McSrxw8LDd6iAWx5POATTMGJFoAMpw751YbPvprXjvLDJGYH7aq/ZRd5VBfUmA6tWSY1kLlJldIBdzcOSFQkEOmiONst9vCf1C/KP87v+As2B8uFULugz8VzpHGonwUBEp5zm+7hgej7Bhv7Wf8AOXgu3YFzherkwcuR4NAvPonTDJFUvQmKgFyPVAS3I9AprdXCZcJqyupxxF334yLa5FVy22N6BxxnO2qk00wClqAWUy60g4WgbXFRPqGNR0R6YJSN9ERZ0hGPIx66R30rUL2w6uIjqXd4Q7ThE5WfbDQqhkj4Mg+e0Qn9UfQd8r62cq08ji3HSglAgAbNGEN9XK6WKQKXYtYJDKnUXIDpgWxfo4MJb/wEQEClsvONu4I9Tuj3OrgHK/cpQfT5Q/zu/wBogq2PCNt5oCuJDk3vY0RRsd+hcXEAqJ80nHabmUQw8tJ+yP2yYyQDwJo1z1y0jRS/rHWGii9ZhP8Aou2Ug7vbVTnlYappAgUGkREfhC7Dy3kcJuuci3IY+Bbg0wCI0ev/AES4xhbw8wI+lxUg4IoIAxd7OuCiYOgwADEQ0qzW/fNz4S3OiAes3BMAABA4PlH+d3+xJfqP2C+bl60wWluV3RX0ZrlAPhJGWsLDtO3m0339tykbA0d3CdmkQc1ojuA7F0ps6sF1e+sMOjJBeuAGJ7mBnb2VCrhgRgVMSpXCcInUUT46E+Cd8IqXpr/8F/zu/HNFsXuhZ1eBvvOFeFKDqUemSS0AwIgcEVJIA0AdPglSYLmx0beMm2jaQXEM0DwE7uieNtAPfF0eiZalDouff5/v8Zwf5znJ/nGVzvs9cTWCj8ZZ56WN/THyCqRhb3SAdpcYYR1JCi06CiHZP+8G/CDIpamm9vwEawU0MU6D5Vecn+jeButvkfDx398soytGVE0Lrt7iXOGD+Hdc6XDqoTBoZDHQeePD1InPvMI7CM+/z7/EYKs45zVEec4cDgeM5qrqu+J0GRxJCDCZich9fiu3vC5qfoqfXBBPd61fpowXY8uxBjoCV8/95Vk0CGZBa0Hn4FmzZs2bNltep4VG2iTWufgWbNmzZs2ahmzcsQSIOuR90X5X0aPonI8iCcYxhyqAt0pncHpPeI3Dhn3eff5xIAuIFalNGh2yU2LvLzYs1zYe0Ca1y8D7KGdEkBvaOzOop6Hd4RehPL8SaTj5ftBk25FCaY+xgXgMbQZ+yAevn/vF2MNAhuSALT4DSUp191guASCFE4T31sNhtOpnQ0Huiu4FDX0QLjqCZaLxhddveJ2aSnPu8+/xxP8AdYzwIuVaOx8ZHAZi+cmpUOLBUqBNrV9VV+vxRPuW2K/5kfYY4/MtS+pcTKjbwl/7hXbh2m8wV56GVAmr7xAEj4xiDkEKWlQhy6475rUQkoCM9H4ACHXrFEPUHkwwRCLwPr6VOIvPvabrGQOCUqQLtQzsEnZNjcYmT4GP9iAmu4TIqDpOoH2gXSHEaw4r6hg880hCI+d73Ih12s0Ad0z7/P8Af4zg/wA5zk/zjH4iXo85fgQgPw1he4sH8rwHVTJqMFlboVoUg9XIt9EBc6U3yZBgfZUATbsw19MhO0C9W8mpjTES+Md3qzZAJTatPrt9f+4QRiIP1w1s8aQjvKL5cJBbMeXR3ij03jRF8A/FCgBtb2iLx7i/OhQRG7ehtFk/u2LAAOzrKtA8mtktzeAQiMagAeIqauuHHbn9Rgk15TbyPtDwYCiLomCvOn0fsigLiPY4DNiQoUGkREfPujoUUXAO+8W63ipkoSwD3FH6YlBiSQM8reuP9BXgkidAM9pmOvZ1qaG1+ywoQwHAHT37lU4djjMN8jpiU/jXpgFL6lYuABIcY5E+icYYhA6HwxPldNJjeo1nhjmb9DcnfY+msBz1Jmg++Uw2ggIOhEH7OUgITiC77SJs/fExMlqDsmyM2fXLCCRCuou0EF/7gFEFeAL1MSoE5IePtOHbvS+ZwgE8OHoD0CKCVC8GzhbsK+BXaXHOp1wg2hpj1ZutauNGtQkcWw6tznAhR6BJhKxO+S+3/nd+UFXPoObtX1I9MSzV51I0CbE0HRwggCiNE9x34SW8ANrhvSZSvXlUs8ZxXWI5IaCW0lcosomlKvWEPp7Nr8w5d8HWlfh4t1UZaADyXruJ8GWL5McN3QUzr0ywwUJHWfFU4KG+E9M/yu+NtBGqT0FrcMXlU6t/uXPoMrZ6qJEHvK/fBxcMcbW3ZGcJM3hbuBp852S4gCXQ/tEcXEyDX7mJhEm/vxcLoc6b/H/ZjiKPB2R05qVTXhwUSYONAEIOCiahk5vr9kVqeM4seTvVBc+8V/cBn0xmAUp/MNB7Dm3hIVnlh1wPaCRfzA2vd9v+d3+yeVJVXXuqHE86VwiXjzPUqN6NBmOGgZ94782tg9/dQhQU4e3sA7ypR8A7XwZKqUVUdRR0DScGUlT3KUL3WVeqvvqArqudM+ablju34y+nwLgGiJ3PjKVBDqlZ6OCDIZygoQp9mMJtGXc4N9gyy0Hk6mq/d9M75xOaIn0uREHMaJk8fzxm9UgTopp24d3ece/CFvCh5DXnK0wq5VQDwavfFXGEFVbE1qH0xFUBTedx1j0nofRODiBMlg/dp9cTW4KZa+pm+A5CsnhIPY/68mrH4154HTnYOfc1t7wkqPqLi2MLZr6K8heJDn3RRdDTLtzU9Qp1mf53f7Z3pVDsoj/8yxF25PWlfCTboayFjdPgjW83FNl5oHw3wW2eED49tlTAYW/sUL4zbmIDOu47izzmzNSJVFAbnYKJsYeVYTzeVGcEPHv7U8IOcaYxpcYiaaiJzm0p3/pgEA30neKXKKYDk1p8VckAsKShwGj598V1XAmaBQ8D3jmjTuozFwcuhZK7A6ev/XuvWNG0U/ddiZJQK9JgTgE3TVHCvF67o8ta6jzvDlr/AIaFO0FPGgNYl8aXEICQR8aHGEv38AbvCQ40qgLlhqyWSBBWaLx0AbTWqpuSUMEswnlCHbrTaQZtwaJ7q9DLPPFBDjfZXshci/2k+nGHxpD0S5/nd/u7UFTUOii+jvrTNMfpCN1oe0vm4VXOXRIHTkAX6MZkamLxtSHdRHYyQxEDkLd8Z1eMJwpmT6jduLDoHwFmElXEklAvExp/BDgkRq1MkmkQcciaVPOW2D0emLfzpeTBpfiSIH7UQK+omFygYA7ETSPuI/dHAbVXgw2sxR4LmbrWzrFknKl5QwPOVSyrQHKQSTmvcQZw0GVRoDu5SLv1RkHS9WbCvPuxzHgObBXrugNs9B/1xQI7rVGPVuztMAFPkZpqp4eO+LsneAWyDoDbrEmcTKRCxaCCkccO+O7mB1YdlUZMSOlQ0Ng4fOYrhYenAImhUlliGpgVZTGmaaMvMwPHXACaUqrTLDV02AGHiHEQDS8JsDBGaJCQocFDOBwIRg4iKWloTnL5WcMqmmnqFw8BckBtCy9veBKvYlfTpdVLSOAUmbVncl8p+EVeG17YeAqu/GSSj/fDpO89MBeE6uucFCqmcTY0HB48hfGV3lF+HpJ1Zd99rFMJOWIDQIN1E4uKayEty70EeA9wTQlgqGEYcnCxVanokuAla3bb1xhRe3pmbCPBDGErfXcwW56KGWQLPzAn8+27BfYgiCpADnjDl76okgeAPBdS5fqkaQXW9+h2IX0gagN1I29e7fdox2dDVUnj/qEnail1iKTV1Lv7HR/znQgih2x1h5XCIFUPfcsx4sb1iSQ0Op/SDzncUegByiS0UwdHSXHBH7JS0OSBOT643fvjH0HX0OJlyrXFwbxg2ZFePhrwIpf00EP0wmxqRKCl400rMXfg5Z1OxhI8We4gmTgJATaE/UybehHWBqiddEvTHsS9BdQWEXoHjAsDCNyJx805zxKMQAD9j2yrRKkODwEXtzlRzHogBzQszbq0g6M0wEXlAdYymTglPBRapwoenuDusuLIIA6SKcHXbjxDGZOplu1RwCgsMCEHzv5YXtiSbhje4wbeeM2S7AgPsH7MJBcO56OuXW9jp/5g/qt1l2MSn1wcrKqeMYWugDg2A6gR5ExqmRFD6EPU4Hzm8rsBB0C2/wDgw4LGkdRrR6DBDipYIZgFRDZPPxJdGlyEN60ecAAAgdvc5zoJQ490VfOAeVDoHkR5z7pvEFBfccrwQB5EdJlh6bkuag4rDqrD3gl24rMqVjvALr23yYsrH/pgiQCqLukDF4WXylPa5wyfTD6u4ciA+WR15LperE1q8Yn0zqmVxJNTDnkUUwCppP2/5gmqhDgqWj2jeM2NH7YbbH1dcHstr9MbavKZp813huE0mejYO8uH1puKtAtoGt8nOQaqIGcWFdY08M/WhPRydF8O+MpuejinQQVeAcYJU6KVS0E3cIgZmokj1Plj+LnLHWdfqJgRGDl5QN4mIDCJRub+B1uqlv8AzKt5qG8IFQaXGW7KSxq3AnoyCGvZOcHGsUMk9nyBxYEepGGEDQFtVaj+xAan7LEDXJgQdG1tBD6D5YQhArowIotEBAMC4yEinNckcfGQN8KJolDHgAD/AJQoFWGOQfXM5xci7yc9IpuR0B0YBIHqYnV+QXBZO5ZY+SDqawEgugXBQgdD5anGe0FR1c9DYqGFC+r7VcXFkSi9aL5HDd86+W3PVdso4+ACEevOItpm0jQ0CP3e4fBbROFXl9jWmgEA6WLvr7ZNjwsoJ0fav10kZnU33fTGClOqGgvTeM525iI6BN8ZFadS6JOwbZnTYakKh0Y7Onsu+lYiWvRtudPhlTthFr6pA545xeQo4IfYCfT2JnHAWKrCLCYgRVoesMvpkg8QDZoXnG85ColdR4TtgzObTALegts6c/CSpFaWQKbnpjhYzVhC7gx7KyPWORCyE1P1qAqwOuImXgHGA8olTdwF2htlLIiRjc/+DwMrHLgPJAT9EG9rALgFG8JZ8EDuJz+potzVoxdHfP8Ab/yz/b/yxI/2+2IAnCUy3wUArKnKDjBHLkIXRt13krlIpWexcOqb5x9GwS7qtiV1UOuiu+SoKdRoBeLhPJ9whyIlXTnWP0AisJjrQB5jlBmiDbVxbE5zoohck00KTq/hCb76R+dtsu9PjNuRi9RGo2dslcfBY2jWvrEf1ngpyIP9ljwoO2G03XYvDhCjQVVOXsAA6YKl7DSmCOG5PTNaOgfHPgkTuC9cTJUR5KpA2BHZxMoMKQyKOpvjvizIERbA2N3cYj7xJFV5cLxAvOhdIeBVdMHHb7Di0EKd7vXGFuD3WNLZebvGWWZYW3UnI2YH/wDepIRCHBnLecNejEgNZCwScjh9ioW8AwLFNBDe8Y2TQOVusWZM6EHrvJqTZxjWujNAKlucO75cVnKoqXkhWVyv/s78OdEdTrip3zLNGAcKV298fzEUBNwTXqIcYK0mDYOhNIWRnTHIDf2xGwDber1wgwGIkUrCtzpjSsiqtn1jr7joblRLpB0cOxcZhMxYPhWfVj/qCEidDSbcbwtvUipHMtQ+qLrgS9LQG2hox2LxhgglqDlNxbrDh1tgcnpDXVgSYKCydhL5YotPMim7cAetYXD5ExyrYganG8jsrG5qopUYjiTeXUCB982dLfUgbQUK4Wbsx+Cvgrtj3ybBdy8UWgC7qvXEY33Wq9HEWGuObHgjkZ4N7eNMuBv6BA1WKpg5xQMcF3IVWQKH1zgb30XNzIj18ZuMBPhf1po32TEBiUO7h1mW1xW9RIxW3hZhVlALEoElDjCMCQF4/RLsFSDLsmgLqju4bzLuoqNrWPgAP1LCHWCNTT3z/Nf3n+a/vNP+r98AAOAhk/3EKO8CXGC0UwHag5wV/bU6MMB4NnjCbQXKAWIQiHA+Gbxn35Ko28Ebx1w8nG4sUZOQqTrnGahiHkKg3aCOtZotPodg2tYdAHWkHrmtcZE3eR6jIJMaookNZsUgwCAFREfDDJLQR/WStQELNE2kdGQOZZwFjaDCDd8YwcJpOSuo1waxwTl0xU0c0myfuH+Ol7F6zFND66cZFfYp6QvYAObjjsCKNJYQkdlwU3jQeLukFApcReO8zGb6xMNtVCAxbZSAmoH051MR2ZNekHhXFcMjSIBgCO+0cjziWDQBEJTrMmZyBOcGlU3s7x72Ry4WcBFaCHOCIEoIQKadjjeqY59BtU6h7DmoXGCloupor1mWsPXsloBVXkXqGMDdPfNOVeykZgFqPjRDpBqANOmV/OMfUpu9XfJ8uMz4IDZKXFnZBeCddOGc16k8bbfMUSLONIk0fwF0M4LlJsTKEQcAUJlOnPtB0zcFULoGlvS42ynlkiGKiM1lIOK3WSciwFoY54TEV56jRxAxrRoFNrtVpJSawgnRgndPa60O+D3qAK5rFelu5zlujUWRDolMIQM02RfAO5M2gRjPFVXbQcrhHACNCVXgQdkxdgRsSn7dyuM3ejoAwS61hQQgggUNhHnD0HZCoQ2Am+ceQVrCzG4jadcrmz3Cu+SdjgecotVKMEedG/MXGhyMVxuEKaF3jDX7BJX3BBwbXtW3ztbskHCvjpE2bMKopebEvKT9aI/bC9cMsw2xVNIgzgjUDm4DJdAWTGDiiT7BD0L0AOuc82h/QDzd4ICq+hg7kLZHP1BGuj5xz4nSfaQgfX9cCiCrCuzqnj2FGqLP2R04ifkGa8sAx6qCWg4o5+uJndVCd54fywaBQg3lacTvzVL7wBkjWIXeIY+cQoFWL4ScTxkMrpnaAanjOELwl6B/1miBZh7IUQY8fpn0xpmhB1Lg3heRjpAdA30DkBhptjlSgNImNMkjG5wEGUjoP0EYILWcoPMJ5mT/ANc9oE/Z+/Hym6sOvtGbCWnwBP5/W7DlFGhexVbDGdJR1Hf/ADEm46CgQnXYbjpGzwbx7OjnKhKWQTexJu4w+rVoLKEu0E2Y80Cshw9dYGOaeYDgF2djeOyfZhYg2ReWZLfQ0/YX+LAXFbdqBdSstN4MSHKQra2LRU65dhKPUcm8/exLbTRsoFbUYG2aM2x4tCLFfKaYjwnsFvtDoRQJN83nHYdQ88o6y26QAtxaaq1ZKFailgy47+YAYFStClHZcTwn5A7ESUr03ibOQRxzN/mxrkKlZyM1HgcceMHcCqOnZp3vFf0DV2znzEeGNQ6SQARipA73Oe+7IfUn1r4/Roj1ELQcrMAVeDDnXoMKi8ApEe/6lZjrh3sIAGUU1Irr5SiOO7Ha+HuB5D8WC/QYMeuqvsFRE1MUp4T2w0ymzH/FRIz+GScw8gxE2IJgu5o9TIHD1DXcUyZ9rbdiPUzSdNQyUOAn6CYvc6mr9P3eMEiCSLUPnDFT5DglP3ML4RFLM+x+oU5cHPAW61nl/u/9zy/3f+4iO/7v/cao8zeakJN3LsjAXzm+OYDxF1SUzBOQj9AIekH0wj/75V2tKEdeWDtz85AnQCCjoJxihr/OREhQaRd0uCqf4MhJS1l3w4iIB4tI9gFynxIs7BpEBoJvCO8S3EgWSEmiYaWrJ0caBBVu7yfvEhAjQyAdi3BlGEnIdeCcggmGwSWyFkMBixHQ9i4AtkotUgLTKwRO66JSSCcRDaUynZ4ZbkCpIoB1wCtaiiMaSCobU5cHirqClHsCTWQDLiMCQo6SlvfNj4QvWQ7wdUpukCsPOs6ZKACvXXGSJIuQJeUb15Yeo54szsNh2hgXfYNkJpUqu7nKfdN2nlV/RdVXYFDJWyuAV4wnV8UAV7zYAkCb9oaRUoA5Vx8wJOKmS7YdOfYtJ55EBASIFL9MQUCugo+HonIiP6JlBQSyRvfTWHiqKC3hVKJ2AU+2OUCeAa6Ldiad4ZBAgeuBOXpOlASVARlQdBRFJgRjIx+Qok3cPOE7c4I1h0BcqZAfqAsvMXSXHgSFjTGEim1yZ1iDTlTpgahiiSokYuCN4/4QXxnWbg47J0DsfGIh8laHZ2c//QMOJbBEFLqgd/HPxGoSO76Vru5AYqBEeC392SyWKLIJSgFgmgDCJAjpJhGPN2cTzcAnFqtt1nqfrQeCpiFrvdvEwVGPmGIrEh6dcJYTSTkl6C4itABYYKAqoKLcZi+Gqpo/hTs1mk1QiJ0wYAFBho5Z1Nld80uV4bJUjUxJRhJpwsSAVEtexBJ5x3CrTaCpQuwB1wY83VTZYUV8k1hopKR1At6hoMy0WaG6HWoNBcZdQJEKOYDVvPdyOp/YDsCKiq6D2KwRExtW/u9g8aV6ffGJAPHpj+jXVQzrZBVq40iEaSJLaY3nBunYeShaUFgXLEMy26wRAKPAYUgAS6b+gLV48uFXJ6NI5AUkMW50kHOApNu+DR0yhyEmQOTfGEidIC0Lpdvr+gSwtm0ZHVgw75vKOr1mqlAArtlD2URo2AFvXdhJhJSdiJ2dnFfNa8+5G9tYnuZGQK2R4HrgX0gqB0jnB2u8GAV3y40NixC7msBI/MwXhg09MWseIfu+tJ992ChwmkNFJr4RcL03YGpVFILbrD4OJkS6yC/ZcJZASTSLRGmSmLCmFIJj3Xl7Z/uv7wG2mKefvyOEodmGmEUCtXrn+t2MWrAx6A/KF8PnGhmMnoj/AHA9Ht8gUmDVcFTtDdmA/mgLJ0x/OXr22MEwQ3cdaD0mCe1C8uEyoKYhacIswGoB05QqBUmW+4gwPTNgYvpaT0YoYXh0ZL1Ki7FhUQYPf4wtiKpgGNOutQWDxq4lvq34i5HkQPAG9VcUvxDBaej9MOgDJXVNLi9oxJmhttv3UZ9fn4MgBVeAxjEtdTWyCOkFTtgsJo6VfMC/XDzTRzeyb5uNfay4iwlSIJwd4oFuqNA0m5z7HaOGipk9GLHo5HnYAisIvQjRS3dD5ta3A6UqaIpm4QwLUcypoKt8Z+wFCXIasP2xOOURKgNI9fYyAEGApXRJJJjEAkOolTomE0J/qCgYB0FqYmEagAqjqhTqp95tGwQJQ9gFw1TdGaIW+RrmnwfCegwq8AKOmI+HNatz8tJwAAcABhiNNB9SHcxgEFqYaAeRNTP8J/WDkSS7cODGpYk/BlIN0+uX5nedHQ0S8LJbQMbw1Ka07Eyu0FENQgqcqrV+QXmtE82ZdouG9XCBjhYwqIeszeMPMZ2igFj82fnF2I7bjRwJ6vYAiUxKt+Rn2tMDwh49nFel/XDpwiAAIB0+KUo6BRHkykj4KQqxdehlykI5gusLhtruEekMJI89DByKCRqgFYr6O+cIz8f1ooJxxU7ObCNB2h1af2wfVxuY9qQfoucCHhp9T52NDhGCq+gOEQY4tGYKJNobw8SijVCAlW+yalrGAnOBDYj7kVsJCQFR0t3GvcZBVx7VfKoKi6TFNgkLZPUaCbaLv4u6APCng2WL4hg4M3kcvVP0nwwbayHxMIMXccBKGsYRDLgo7DMVx2FGAFACvLA38mkB1jjORA/GAmyhHE8JKOjLIplUDtuBfUTvi7KOWA2Ru5lp9NpzjxYGfr+miQyqNgFERETLWwc4DaS0bjrbgTROhxU6Chegx+AHKqrGsR4I7kls24M553kKgnUc4LmIFzQUIFE68OnNLml0DQINC1rWOUXBfHFQfU6uM9LptMpxIolPXr4FkSA76dbEL4Gob9bxd19e3JI2ohvr82PdwTARH1Fwye6PRQQ0FhY3DtC7XHmc6CAEXB0Amysks2nAb5wmtE3SgNIjae510DJNvAgga7J7gPFtewZIVK3inXCFfACXjCIXQtl59zerBx61R+3sKRCsLEqdp0Bt95b2rwhQ6ACvphyIg1NJOLc6KPT4hLBBoUHo40XA8qRTd0vQdfclcdOfYorh6RE6B4R7ewsz0wXGgo/IGi9A95gtQrt74L5KtuMJu1GU0l7oB1tgl64DgFRzON5A5TqKcsiaFq8XBHJ/Gfpl0x2EOKDqZixcCFDDt7owww1tghIqyXhc3p6dQBdiSbur7wwww1iMHWlxaIBWXu/OCdkIAZEDTN6d8G09FA0IgoSK6M4X8dcwjs214T3ETy0JjoeF0nsDSKlAHKuOOwUYC56BqAZhRa8PmERl4kUMewMNGdTe9HEvEzWl2Oo5w5DW4rCCDy4gRwUXIPIo/TDcVEIRA2VRrsc6fwJ0K/dzawXeORDSO1eXvcBz4OpTixfGzkcFkB2D5VeLOnw27gnZLtBo2qgdXADcuhULddm+POJgSYNhOjTavnFMfaQCpQrwexuCtIwHhCvCYYuAEWQmhRXlkzUUyCgZ2kgecaOOBRGxAE6TlzYixlevyCAWhEc7eHUxhIPSYEMdCs4ilDBQ/Zc+zaRB3EaeuJQxWmLQ3Y64ABwfpQiGqIB3XJKm6+eaZ7vEfVj9V1iehxrXapMX5kIV7CjA1XAA7ie4zQoIr4UYbFY4ncTJ8e3mcRNf0DxXw/vqCzB6ReF0TnuYYN4R2YFcUX+34aKIKee2KsPC1TZ74SOaaOhJwA3StfqEDH9E1SECKdsSe0tcwZFnRIMsfwUsSnCgnYHr7h36InUGUENPsv8AatgEXxXfjAFOdAvl80jwgd8M7iI69GZVNq+MG/8ACJTgdFFsdY96kHJLLJHjvhmEqkdtLB41lcUs20CPDH6ZbkzNBAzYmkaXnJ1SMGA9cHObwQQU3m5l491QIqxEh7ALiBSjaWpDuC9Fps9lptQCSunUCXqLPhB9PyAoI5gp6TH1UwPgj1Yq93FiJtjYHrEejB8tUUNAdKefY9oeCFu4AD6Y+UmT8SaIA02Jitfp0r3p1nVudC67aLtXh1lR+FFKeT1+QkxQS9sR1yrc3ILbxzW/LoxOOtlO6HR+wwAqCRYFezYYLBP0yvOtoEA2DncYZIs2DQ6iEPVggEaPD7jVD4qvDSk66xjNGTA01U7jfC4mQyeDFQV9QeI3w3Y6MFpA6b7+1RF0G3LTv7qpFitmtnaI2KTbKGghTTzcfaWMTYBNAB2wQy2K49JH6BWyQM1D6HXr5YOkC3deWui8AOnxNC7idu6+o/s+MjDA3UJ9s+6/qNrYPGA9Db6jLrFtq0oBDF0dMI3W3BHhCD6X2jpoLNW6OocYlqtGiApibOPcKB26KtKlBo0Sbx3FI6q0YEzpo77+GrMD0wg3SIN1uZNE/bEVZ3WHSzpixlucJ/iV8LO70MOwfKVfQ6ewO8rsipYZWYEU2BUiAI9eSkX32NKc4UQXwc/TE8rExG7CLYdWNrBXUhsHrv8AQKCugwkK5GMvyM2f5/TiwCdnK2HcGSBR5yR8IAiC4kOG3pvFwgyYWB4BXXT9P5jkWVvHUrhoKqmpwaTHRvBFQIHj3DXUs21KNjnbbk8cAHsRUFpDq9KDflIMtOAUQ0jvjmVE4Y5pEGdzv7fGZMAyeljUN7hCc/Jg6TaArsehE9U6TCmLOMyFptS80nOI6xi08R7i/oDCOYAwNBeo7H4utgyYj6jgAAADg/UdRmixCPUCrv8AdpQsNtbrlRnZrcOPDxv0qwsBdAcce4iyLZIcdJrh9b3KPy83iPp38GAhRRAIt5Hi638JkO2QdXf0zQLGNiUh0GO1W5PY7p5Cgga06HyjnD+FA4A4MKIGk7WAVZ0Aq8GKWqMNsDQAlqThD8GxBCEIqhuUgePOLpKzyhY+f0DyDF9YgKi2zQNR3CaADk8r+r4pX7Up2NkU56/p5D3AL6PCdE2YhwjTTkZl6kX3XeCu0/N9XUEuR/cifoZ8DM1iNpbtDhVBUKzlxHPruxynlOqqvf3AJKKeOAMKwSF1jlvYcVyjVO4vnJ87Tq2HV60vXDLrEiEANAHT5r3fGYN0Pfl9MiTJew0XkjjgwFIzhRy1y7wH1HncXqn8PcRiT8wWEYsU6n2pp3N9EUY2OtRrjy4b68mL9mqcbBjSuIB29teAN2ArkOUNWWEKQWiS6xWkyXoD6I5w7MFuKUA4BW4juCIEGzppxxrFuojkK8Qp0+xmUvqdN6GLXWl5wmpzCLNr5RPKxYq0SFgQboOjcJw4ViO1wjr7GeUXrlhnyoSnmkhc86w2d9nNVmoksFGC4DAcAgBwB8BQVYZbwcJdhVvjOhd26olstbw1AxnaArbXb2sNQUTSU6BVlwnohFGCGhBKc4LFUjFdwBodb3mr4gtQUghwSk5wfmmVN0ml+Ah3zFEBxJ1e46JcIkcFG1Fq9AOAAQAPlZliKpAMKoiBQgaEw0rdGl+Z7D8BCSiA48fDkEYk046YhFdWvqvX4jcfhVRETqI49Sm8iiiJ2ga5cFd0jlq8ZNoLkCW7tLEgIgncfcV4Bxd9nCk21t9qwAiyoC6HY403Fn8phwrowu2POLmIGqK0Fzjo4Vo7fzIOO2IW3OXPKXuR/eCJSIOgcvBIdchUQRtMocx65JGJqBgoXgc7MMrXUh6SC2PjCSpTAJulnbDT5gHriLAKarNPRACaTRvE1RTo1VyergaOw8VX08Dl9NAQGlV3sCyk5x9SSprdYXT2ECBsIfBQ/wD25lPkTzMHgkMAtM6Es64/YBdVrJti/b2I3VeevJkg7jvqP7Zsmq8IlWhiIOCzRztWwOSgpku0HmiWqQV85H0rpDqKXgc6cYVZfeQFGCyVUdAGK3QkwDJEU7jmK24ih0+qCvL8tAttAZWBPJf0Y9gMnkv/AFzvOnXAn+/mX+vw+H9t+NlXRkM4r5a2aVJ1xAIB2IlKIXmY3tMvBCHAFey+5SBhDvra6bDv7eXvAHqxXF53QUDewjONZt1JVU4iEbPc599qP1ly0hUT5i8OMU6BS+Lh4SgEA8GTZ3MENFesxWQo9IEh37OgjxhJkUAEBx11t6typhMNBNLoYjqxhsMMZgoAr0gqq47YoYyaVKq3oPCYA9wcANABwfCVPXRpgUiuwHgwnr1yNJOmF468A+x3JTaHemn09qx+5CP2cFnBByO0wVOdB17TjGKdArfMxZPUya7nZ91dWw5fKnjG37Crtv06ubRehgsUArV2v8HAa+XaFxfcb9zjPubmwAGuz+3iuCZDUFp8yP8AX4fD+2/Gyto8hNIG3A0dcGOBaMYD3ynM5azcM+9sH3NHrOntl6slFEpNdWFqbsQgoR5bOPcS4AIEPHwGBqCgNPR0rA1hbKrBbsWr6xDxjKU+Ur0o8l8sMRAOSFLy9AXoVQ6Y1EWiN5W4AGwtIBTIAEAIH6nQUE4OgdVOgNqww939IcgGl+gda4SShY1dv/B0+XpUulFqSdeU+uC27KAP7ExslBp4PQ9X5l/r8Ph/bfi5UbQzByodAAq+MWQC8iGnCyM6OAS1laFSiVsBpTrhTFlFlSvMQc8HuGfWdOboWPkfHxUSu35INNPrITnKMNMICgO/AGAiS0ngI4+uO6Y6vj/BGFVdCDyhaDYwAgBwB+pCIVnxaV/U0BtQ3ludL7UYNxyzrAbw+8mIn2v6OnzDaC0MpCs54/wwGQIkR3cTUg2d2n2fzJiOVP2YiQA+xIXwvtvxcqjnIZYih0iMmNT64C2l6vkGHjB0f96Cvrnq5BAj0xEEPCe4AcwhXuc9SHL2+IlDKRFAI3AQ3eDHJjVaGaHpDsUXVl5Oyn+xOzems0yYhgcekc6VNTAzIAQA4A/UrSTL4DQcdiDkIAw4Mhtc0J0fQ7OSuNMNEgCfsduAfL7l3MiaVDrDjymGFMpBHZ+nlxnV7rFZDQ2L0TAJAOxGjgFBGiR8yj/m9uf4vf8AC+2/Gyq5MHzOVNB5c1frJCCdTRvABER2J7kKfCTOo2Awvw1CmnESPoYKkJlVXTjReBjxxkcOqE2Bwz6DXKmWKBD99l+w64BAAGgOn6gspo3V0DleAV7Z01FtTSyErWvkBx76LiFbF2ipVbNQYUUkLNbafwcB8iSBMsiwS9oXED4UUsA4pk4OnPxY4plcLv8Atlj07NAx1Skp2yjp19dMpVVLSMr8/wBpln3IuHV7x6/1jtioKkAfz8wIKZg7FCHgcVk7RKHI8Z/i9/wvtvxsrTQKy3SCIRw4iyGQAQ4EIJ3Blv8ABCFJ26B6B7jqLzwFL4BJ5+GRFpBYxU6MDq95MH+22v8AUKDul4MFi8gara3vvy8YDY0CAdD9Oa/EA0OFK6cZa5PZDjjrnV6YZY5RPtFAOxO1ceBZoCeltOy2tuHpEAI75f4Oh8j2fHh+xyHhCl10b+1fX4pbPFAdyc/XCvzuZf8A3YSw4D2gj0H9xw3WhLlvh/rHX0u4atPlpPM5zdYbCm4vWdPGENBb9QnP0+YMP8Psz/F7/hfbfjZVirS/Cu3sXYnczruEuOTafug4xKc7kAgOiRE5EfbLwq5aeouKzZtQBU4qHwmpYeagizmLfLA24PCB9fJ1B6noYY9zy6bU6aSdtHDgFjQEA/RGc+es+hdGELSQBfqsxUvo1j9SduM0bmyIl82AvVNRPxyvo4ON0wu4En7sR3jaP3AvdZuzVExrgFendzbmS4k/V/LhcC1jy36v8fJAAdqNbB9eRkHRMFdktSvLr8ZR/XZ0o+RXbOkO+GUBXTE0fWn659p/PgvINOYk4eGhY/eF6uIEVBoCBdk9GOA7pL5hPv0xUUPQvq4P9Lur+nI+yQ2D9HPJoSj9sP8A72eJ+/ylh/h9mf4vf8L7b8bKsutAU8HRMdSY0cbkKDukXcXrziyuxYs8ABCbvtFXZDBwpop6ZGOKCYxJfKz4LWAA6HA7pgHdMRKUFE7O4kUibmIkJLQDo9ADrvqrh6RAoA4A6H6Ne/IbwrWMKQs298AAK1K731iju+ZF9zuUifQ8xOx2VgLg9sfHgqdSfTg6uF1EY+cnyRAgCqYBi02ypsCx42/tkR2DBKQB3g/f4onOhMKNb4QtcVoE2fPRXw31uOxFbS9ZzyWy4s8hvnvDEEUaJb57XOZYTzWbAXon7ZOKaWjogZ6Fwui6CVURoaCN0sxrEZ0kcsK+XIy8HBT65LJ4Gua9f/GcgNyV+y8EtDo56Z0v16UA3G0IHC1sIIii/X5Qw/w+zP8AF7/hfbfjZVc0zluAHKDXJrhwhu/jGNVIp9MISQfT3C68zQh5MCKFX4BkAVSAd8Hbd+EJ6+vLN60M7TxO92kG1eWq4EkQCAOAP1KEVPdeyfedvQcJMdjGno7DxyG3Th0ACwHdP9HAfJWpjTAFtwby0ypmZ9MRpCzZN8m07Tj65sPT4hiKzqOupNe8aHcmFxBAkKCtSq+feGiVo/YQi6X746y3iBQHgZ8oYf4fZn+L3/C+2/Gyr0wNTAIE1BUtjh+5AqnUABfBMfoWhkEEiwAbw09wvCiqa+Ajg7X4AaAcFFoPCHfodymFMkLD6/H79NYZBB8AQA7fqJk+HP3V0ZJ/Ul9ZxAPT7DhWIBNHq83gu2ai596eiqd/44PkzNpas2wzQgCHZWJ+7C/cexAIeTKvqrDyYv8Afw+i2JZX6rwHdMGu4iA9NqeHMxQT96KT9k9xkLg3JD7vXplWR7GA56VNOusIJT8J1PiIr6zjC7DSV+pEAVXQe2/aAvWbTreusXnc4wpo0kaIggKHpnMzwuNd6BwcdcDGVsgoXE4Hydh/h9mf4vf8L7b8bKkai1tBtAEHLKWnoECuSp54xMs3WGXoGhE6J1vuPCSb6RgDDOnv9+q0kJ9+zvbaNpm2CqlqV3ty9fjDc2kAaAOh+nAS6pNW3bnFVgK94KPQ+ubjiBWc/DTVp9MfL5/7giaHnnAMbi+sTqvydgxxjN0D34xVhHP4kf55yAoWja5b85wRgn0obZ9Gnw9aaM4dl8aMcx08Ur+jHPpB6gY/sT6e4HKoj2CpUwuVYxzzgCKl4w0L1JLge5vQ8ZbE780No9G/HuPLHKwheYDudejCp7xuI9kUCTk5jKJeAlDh0A6ecp881BVE6Lx5+TsP8Psz/F7/AIKpe4ARYLiMHoLISejmmO1ZsK6QoDpTn4aMoIgVR6AC5tNocCbcXYeqRxpbT/hBQKqYU8KYsz6lfpSdPazHtJB+7gywUCjbt70G79aIk+Rpe6gbcPLcoJd66PGtQjhhz7GAiABwfpw4gmGoG1YAtdWFE5tw9EeH0GJxfEs6q9t7YA6tnUMpwCk6je2XzlaN9U/KP9fuxmWIDgvE+bqwU9bf7GVflCj0LXbX4awObJoH2gONy4XggzGZI2nuRambHekQtx0rWefciEruYrHRNXVlwtDhctpVAIcC/XB4uDACBFMRwreSJclxWqDAaHdBOX3ARv2r71Fd8zlJhboXbhpTBB3QSijfjoawyxTRsnjZ5S6ndRqyqmvk7D/D7M/xe/4P+33+3Nd+x+HFe3CqiInURziQElO6TcwCHTDtEJUe6CvCCY7GlMStvkWdb7WNpKK3qOcVtosJN1OV90qYimLlm9B6HHLgINJiFr6HDrvdXBz/ABQIgAaAOn6nqI0dp0DlfBljkq4a35ATUpULiAiBNARYdV38p2/w7YWqAQaosPkE3YQtHj9WcztbbLq/zr/wTD/D7M/xe/4P+33+3Nd+x+JBzR3p1QVXxoxYmKqQ7hmnxgF211xBw3hw7uX2qvNPhoJDui637iBgI8j0PY54Bt6DuG2IKyrcrl5f2CfYgEQAOAOn6lHusVTu/wAj93WU7VT+TLQCEhyCwQ39rUushXgAAAA+U7D/AJjlqK20Nc4W/DSdfX9w/fN5qFuyx9V9b/wTD/D7MGqVStCQJr65Y8BQ2bq7+B/t9/tzXfsfiRuOXzzD4oLtLkbVnICBcFIzk3nNtSqBbFRIHgPcU6cslWgDZYvtKIdNaWh/LwG3CJSRW4LcF55KtmGweKGIAOAOn6lYV4wcpy2pO1qytECFcJ0ogiBBZz8r6ffbE4zmy16n+mTu7OoAp5OR7mQyoxgTn2sfUDr/AMAp60IkA9xBy/XRAqIZ/h9mf63dn+Tx+B/t9/tzXfsfhw7xBbYsdQi4lmXmw3zuOgxBznYCCdPAwGQQBwDx7kgG2qQ6mUp49ivrgqEwgbVUAOVDETkLkTkbVVPS1wHIxghABoA/VIwHFtzpiN4jvmOBE105lHVCvQ0Gj5YLvkfVlyOEviv+cQu7CIkUwmDZSBiR9V+plLSw0D8p0fH/AALel/h9mf63dn+Tx+B/t9/tzXfsfhwv4qUAbVcA8KGrlbK62MONrwLvVHbTh/vTqqtqrDQrwHuf5ndnE3J1HAXle2ItdYhXaQJuah2uDkiBQA4A/UrCusPntEsKA1SsHUDW3NE09lS4WBy7+Wiyx3eIRgB298WWKyEqA/T7sNZHcMdUJNtAK/UlwShhI01gQXabDTxxgBWmtPvA/snrgLvoIfRb+MiTUKiPG/44SBUsQP8AGVs3TUcuzz8uMoDyzPw7Pw7Pw7BUBV6AybXK31TUbEd7dGhYXiEtlpQHigCE1kRBYBBXyzPw7Pw7Pw7Pw7LqfIkNhOj65MxeC5MiddXwwcG7sKrRmjmgacqgaNcuFC3CSFKOzPw7Pw7Pw7Pw7Pw7PwrADlVsMpM9dZARay5cQatvG51ZADlL3x+70QC0ob3PpigCvYHwd13ZlYL6LhZkqBDtV9Z91nGC1rWhBrnBmMquTNBTVj6YtSqFoLQTLrfTYRj8Oz8Oz8Oz8Oz8Oz8Oz8Oz8Oz8Oz8Oz8Oz8Oz8Oz8Oz8Oz8Oz8Oz8Oz8Oz8Oy1COzfeTJsoQUoKcgrYxRHeGCywfaiuqlhAsAM/Ds/Ds/Ds/Ds/Ds/Ds/Ds/Ds/Ds/Ds/Ds/Ds/Ds/Ds/Ds/Ds/Ds/Ds/DsGQEXoD9UP8AuUFAU6jMltUWg9kWWWF7exQzu6nHKIR7OVyPHVIgk/bD1HPV8GM68IfZiPtnhlqcmPoejOufimYAzVNOQ2R6692gQIUJNL03CA2NErj5SCtXoqgE404srLx7ZJIaVAQpQ0QbtrRFgpdyxBATgmCUJsUHIRMo2whWs6X3kkkkktE14bLvwC6/fqZdB/sChHKvOAfAxJJJJJJLXNZh19nsNOM9HDkF9chLd7pgDQ2v3/QmHpcPjb6sIFFtxXAs0uuMQm4EHaiIbu+84thiw9onp/svTHCyKkbfsDzxc5qWjAF64iK3p7EgqropeyU5iPOHXQFoePbm6izeQXwjQ6qLrRdSpiRFWGcLGm0dcQ2ZKE4OhVrNTEz4JC97Oq9M6ipsT6U6JFS6y+2nAvKtB3A6dsQR5cn3HSWeExNwJ8Qw40YqaSzKSCLvL6s6m+lq2jA4tw0+NoY8xzkQTCAuYXDSWPQtxh51RKVFTjkOPeAshGI16mVlTACFfu5s0vM4snTpE8axu0jLaL1tjytdMLBbFAFke9Ac9jnCQ6PJj0WU5l69cX3wboEHGjHFIsY9KQrmvqy1Bk2mkcGmjQ6cSNH1xqO8miYDwxWFeJ/gjgZGL2itIIppQfGJ47IATLVW5rmcY9SMEa2BbNgPJjBR0iaQxY2FvQx8eKFpMELbQ8TD5H5qWL4rSTzgyQ9qK4HVl1kYbGynYdFF7x1jgyaukdDu8tGumKCjZskDswdXfU3gY+XaoJonQvXX6p2W+yDYXkMIOjQBqLzoN+80GSLRZqgy8e+0QlEelrOTj5TwvMKYAMHRN+4aXZ0Acn7qdVXlyKGgf/tjo1t7/CTF9dJygPUd/GUot5ki4sg2foauq/fVmeVXabfd5wiC+GGfQb93gPIpyCRgE1yGBznuUAmgAADgPcBgEIj1xXNpjJQICqr5fd11AaZpCzW1K7+8pzSWDRSSmG0QfAEAOhPcBixQUgHSIomAP1L4NYgNq+75f0W+Qczt37qqK3Rba6+Q4s91wBYlkVCy6m/1QWpOBwFCkKrnGs/A5/fSTv6PuO1BVehgUrxFXCKPCWidnNpbI/Qj3aDv4TLP5U9YtUXQc65wXOcS09ElH09pVAVwxTzEHlMrjaGly1BYOddcrCZ4fp1mxjxiz6JPAau+JZ31gAiI7E+SeBxiAq/sY1mgoulB30wxwxkYoNNauDqXWqw3l5eA25O3ogroObqmjeFisgEO0NgRN0/cw5QBagDRBD1+sL60OiVcUTk4xdJHCAoKaQ2dT32bXK74DhWgO/dhxcF4YByICPW9nEajIIk16VA+uCGkWEHetxWcbkrpdEYabp1hrCsYMIXhEfri4JnAuzxbbw1hXbgwtWbmh4uvfDewFY0LqiA7pktWvq9FICINxOM47RRCC9RMhcKAIqGhbVwO65N+dYx3OuFIYSah2eIb2d8VgaLI03mpvpS84FlMoYg6yyummTdYGPQ/h4eoj8GiSWRWB6HKvjyYpsuqMJYph3MEAjR4cMA2lSjJUNh01edCEAsagZuCEPCzo46hytFABATI2pgsicHAoP8AfvDRvAXpQDCBs5fYAOAA6l+mir4nKYX8Bd1zpU1HWvBg0psfdQisDa5JtlrtREMmyDi0XSApS4q7egL0yrhaQ4aiFBHDo5M1SqNTH2DtzvtkbYmewTY7OiHsBEwCq47qvXcKw7VzjOFOFyfaI9RHAr1OfnqYDJViLhgW0RBxhm4JBgEKqw8GP6aYKKvLshxx7vGJymKIQFCrreXkJ5Vohd9MXk1CAFV9AxLekYUIUR25xP282n1Efsj195Dx0/67RBmVdCemLBnNahK3MBOa1VgXQadzWK/yiOMk6nl1uSYEou5Y1buHLxmt/WyAidGOzp+nLRWHsqjXrwwVIOq6uR+73GnL4cCq+JllDLsQRodWO7Lr60gMii3dAhzhimvM6V/bFeqXHc/0Ue2NCcHzkH1KYywn06KVm+c5RREqAdqjEYHkUOPNypu/OZ/kX5EkF+gCoG11wYOEUu8y+At8gRGg5za0hO/B1A6cntjJdFQ+F6gQcbgYiaYNxQeM5+RvhpUAgW6nHOBtWD/PodqYzr1gNxeP5OUAnFwVT6DEbVfyJVfMHuglCbQITS64xC44WcMkBadjQSaykYzJO4omw0eR7GMBUTca9nQHC3Jwvc2DpCqR6q98WCXoH2ej1SMNhl3kD2YOgjD1uJaBgx475uXIOoyit+t9xmuLZgTcW+D2GgEVMBJIUXl6YGeHnQEkwhvhw+g8EZMfIeRwPQZbbQeRJhVSo+iMPqcO+vWMuIdCD1mdV2AUVjvBfAZBRrmqbj66+kylTmjYSXbQM+C2F8sZV52nnH3vVXOr5uc7Y/uX3uAR2YlYH7nrjeCvejU8dH1yQ7ET07L98/3uz3t6I4VdqG979iYvyJX9d084T5LQj69z985Ga+ub7qXAGa5WbaFd4T0NwvhF2lfTOrDuyX+uI8zJ+wvv0l8vpMT1Rb0JI/dfZxVmVZ0PrlWJsVr/AHux9MbfAWqCM/bTG61R6aXbhak2OAVu4JJsBgjCt6784KBnQAQAOAPd1trjdiKU3vPvORSKCFet9rixIVOnLd+txbOGt6GT0Q97WCIMVIikVdZrkbqJen1mNn1Uh687XG8O1S/oyW47ke1OSekxbWTU6S+z+ncup7VKepp79+mKNvlbjWwc75Zrv7TJOO4RImVu8hoQoC6+zlXce4BkMWALnZ2IsYtOR3Wpzu51xPDZq6wr1Xle77UWnVgA0nRIHohjPpxJGubetb6t4npSI4vC2WOtx2JvHUQQjI1vb5Km3K4ZPRUB8LklbUB63dk8tu50yhdMaOy+AbbDeVXMSA9SgKFYMrg6R2wSW0ytaMGasUC6IIQ9ABshEWY4cTp8AbBCaKdYDioQCKKJxy8zGs9KNXPG1NXh98ccpKl1UWxtVWQWF+LXDWFp1mvVDorTQqStAZSNm8CfOB2Odga32zY1P4BUg6xTGFZvNeJvetRhtXVMBVJE0QOgbeLrQ0q67uyCa5l0TXJgAACAEA956pRVeztorTpaciULE2Jl803S72C575RlevzIeiOFtlZ77+DuxdXl1taET2EQwo6ebTCoxl9xuDu5cvW4OSCImT0M04vdMEcJCUMDQT1Fe+lT+2pmIeQiuqL8Fh3CFGgArwA8cyKfGqNgeRxU6H9gWAsurKBCb6mLuto5cegkG9DzjYZRF7Wa2qa274EU8gwqIWw7Y6ounCgHvAFIHE5A2hph5whA3i7SB7HHKZZlSCTQQq9oHTSUVc7KQUtTYU2j11DIAIB0Pe3swPOgAjTwzC0vH3bDw7U3FMnmiw9otUHoh2ikc76FO27lwLXFKYONcFoJAft1cFKgieMF01VbJuUQVat3BCwvuOMl1HipU3McNXTsUg0A6Y4mGXUqG4PqPGbHANZQfQDKc3nLloTuCnn3VZaihalOlTKi+KWjsg9e2IH7gspoXZ75vJgPohTS2fuXjFar0TiF5YfSw95p8RIziBQousQw0aKNIKepigGvPIEl6A36cZAYj+5VmkmxdYHN1BivTD+o3euPKBZgjR1NXyv/ABu4NsCARWmIJ5D46pullSXNqAV6E+MGS2SJkA8Co9L/AM21EA08ovRNq49U5ZExE9T7s6OkgCT9nj2CNUAGguagVxvNxd7cZ2CW8fDjq7xwCO7bpPr/APj9MP8AvXAKl3OvgxPXCZ6t8E6Zcujz91Qgr64jjSCNiAjY6C9QxM0QM6dLwF7GJTXK4CB5XdGGUdFzIuA6D0DHUFII3XhBhxrnEJv5gbXrsL4wY1eRka6yptfphxbwgqUtaPSHXDjYTOKcLrB6mNTK+aCnU6GTy0c0A8m73xpz64K1oV7tcFAC0epo1LddsMKqUcl5pzfLz8s4NUSlKX6mKQhu1Wj09lTw6uuaGmAsKOB3V0YLIgXXwAy+OfZJY46qWLry4x4dtCT2qTPOOf0Iunw47JIqfRQYM2OjhoiaTWUU+e9AnsHGASCJROuMQljRfQ37Y2RBKqKeqnOJ9GNR4Cp9cE7gsxsJzxh73DhUKHz2WAe7gBIqRWI9FBZiG4gyfkHWIwmMFDqcp8kIZkkxA3w93TEXKUZKgeUAeUxppO5pI78YgTAudxE1xQKsDq5WFUTTmhuMXCBCHMcw74SpuC380z2MaUBvQD2U6AXOcan7b0XNbJTinD0TZvzg/wBxCm8RNcWl8zF+T2cZLVWja7oTplP+su4aobP3yOTKWvETcIoKqQDvc5dMp+sTMjW+FcJOSioqe3yeusR17sUzql4MsXPhUklQFdG8qBmcIRXjQ++EgKuwBaWEFDXrokJAfVB76ORLS0IB5cKJO/djtRHCdOig7DS4QDD1phdSbUCyXD+GeMBqjUg4sw61mx4iBKIve9MTdVKGhBmYNN9ecQy7FuYaFqKPGIcW2uR9YB6njI6TxpAQokoGxZWJpKTwF2fvBgGnMb+yIwPa7cWsITa9vPy0V/k92LrwBNIE4Uh6bGXIqcKdeCxElTUJjAMwxEaNksdT0SGVgbAUSgy6cjHEWlCeMfQXeB7lgxWwMNi71dY0JtdBZKAqG4Dq4ldYnfZCwYdQuuHSOB1whBk22RwD4LzIFSCS4YSxI4BIwHSAq+GIxddDS60hFtocDCN7KkYJ2cTaNQwx5qQDKNoFDosBiG0qYXcru4wam64eod8SlK5lHITeOLqedHhHe8mYO5i2p6kcdKDyuy821fJFHwzAXro1yKsh6MBdn16jDQ18bBJ2Sp4yQnfkVWNpp01kjkZQ56td+R7mJKHBBFBd5pNovCYTAlJtXIFKO464dJu8VnURT0PZISQvTB6aXJjgn/UmdpUFYvUyVlSy8M0nIkdumGEeMsgPS4EhpjymLiiv0HEspqUADaRYcoGMH1t2QnoumSr4myqCI3SG2iIU04OXdGlRG0NryeaUgqIJFIjyb2yJlMTsVPZ0/T5SiHJOlbYXflxx86U5D+JIviuPhLGmigT6YX6Cw6SyodBKKZHezzkhgUCoRiUM1CXg2UaINlm9boxg7ABH9Bocbu/ZaAtFqZ0kDijWSU8W0G7NAPHGGjQA5kgQB30XILKpYhVgcOwmStQtcbtyr/JlbLKeUGBqgQoeJlzRIKAiLXY9GOYn+WhSKlS0Di4G90X+CJEHUFFxVpz6LUQ3c6pin4F8ZKJoN23piOjM6UN0haHaYbZs0ltTU26c+MQBotW8Hd1HeZNqSPC6rzQ+nyRqIOynCkOGRcTZMlt2gIOhbXGqU5Wq3gNpKUxOlReNQmTqaYW41FG+QfalQA8NYvuGH0hHWQp5AG1xLy5oGmEVZ1wQiNwyAItG1PY5QgOOJ5oeMSpDkhGLt4HGoE2PLKdQt4BRW30VOrPoHGhAoDHuOx8M5V1slau+/OLFHIst0UPd9MggcAo5IBZHUk5szL5WoAJCAogNxxcdpSxQVWEsASq5QmonsQjoXrNbzcLXKYEcce8/9OHi0fhCeNdLGHYzZWejSkb1Bdu9+w3RzlCLZ1LuX4qvXXkDykO6/LlJlDbJaSoRVHt7OMbdxflCbDhzfnClgIFffJoXgY4VYU0Fb+i//9k=)

Legend: (a) Model diagram. Spikes are generated by a Poisson process whose rate is the product of two signals: a stimulus-dependent drive, f(S), and a stimulus-independent gain, G, that is assumed to fluctuate slowly relative to the duration of experimental trials. (b) Variance-to-mean relation of the neural responses of a single V1 neuron stimulated with gratings drifting in different directions (gray dots), compared with predictions of the Poisson model (red line) and the modulated Poisson model (blue line). Responses were computed by counting spikes in a 1,000-ms window following response onset. Means and variances were calculated over 125 repetitions of each stimulus. The inset shows this relation measured over variable-duration windows for three drift directions (green, black and orange). Each data point is obtained from a randomly selected epoch of the corresponding raster with duration drawn uniformly from the range 1–1,000 ms (the orange data are taken from the inset raster). (c) Spike count distributions (gray histograms) measured for different stimulus drift directions compared to the best-fitting probability densities of the Poisson (red) and gamma-modulated Poisson (blue) models. (d) Log-probability of the cell responses under the Poisson model (red triangle) and the modulated Poisson model (blue triangle). Histograms illustrate the expected range of the log-probability statistic (computed with a 1,000 run parametric bootstrap) for the Poisson model (red) and the modulated Poisson model (blue). (e) Variance-to-mean relations predicted by the modulated Poisson model and an additive model for weak (light gray) to strong (black) fluctuations in gain._____no_output_____# Additional Resources

Working with the Poisson distribution in [Matlab](https://www.mathworks.com/help/stats/poisson-distribution.html), [R](https://www.rdocumentation.org/packages/stats/versions/3.3/topics/Poisson), and [Python](https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.poisson.html)._____no_output_____# Credits

Copyright 2021 by Joshua I. Gold, University of Pennsylvania_____no_output_____