From cb885f2d5487783caf8522c46d3d677da5873088 Mon Sep 17 00:00:00 2001 From: Timothy Morton Date: Thu, 8 Jan 2015 16:21:46 -0800 Subject: [PATCH 01/16] added acf code --- periodogram/acf.py | 212 ++++++++++++++++++++++++++++++++++ periodogram/tests/test_acf.py | 48 ++++++++ 2 files changed, 260 insertions(+) create mode 100755 periodogram/acf.py create mode 100755 periodogram/tests/test_acf.py diff --git a/periodogram/acf.py b/periodogram/acf.py new file mode 100755 index 0000000..7cfdc6b --- /dev/null +++ b/periodogram/acf.py @@ -0,0 +1,212 @@ +""" +Autocorrelation function for models of periodic sources +""" + +from __future__ import print_function,division +import numpy as np +import matplotlib.pyplot as plt + +from scipy.ndimage.filters import gaussian_filter +from scipy.ndimage import median_filter +from scipy.optimize import leastsq, curve_fit + +import logging + +import acor + +from .findpeaks import peakdetect +from .base import PeriodicModeler + + + +class acf(PeriodicModeler): + """ + Autocorrelation Function for periodic modeling + + kwargs + ------ + smooth=18 + + days=True + + + + """ + + def __init__(self, *args, **kwargs): + + # Set cadence (use astropy.units) + self.cadence = 0.02043423 #d #PLACEHOLDER + self.default_maxlag = 50//self.cadence + + #set private variables for cached acorr calculation + self._lag = None #always should be in cadences + self._ac = None + + def fit(self, t, y, dy=None, filts=None): + """Provide data for the fit""" + self.t = np.atleast_1d(t) + self.y = np.atleast_1d(y) + self.dy = dy + + mask = np.isnan(self.y) + self.mask = mask + self.y = self.y[~self.mask] + + def predict(self, t, filts=None, period=None): + """Predict the best-fit model at t for the given period""" + raise NotImplementedError() + + def score(self, period): + """Compute the score for a period or array of periods""" + + + def period_search(self, period=None, fit_npeaks=4, + smooth=18, maxlag=None, lookahead=5, + tol=0.2, return_peaks=False): + """Find the best period for the model""" + # This was acorr_period_fit + + peaks, lphs, hts = self.acorr_peaks(smooth=smooth, maxlag=maxlag, + lookahead=lookahead, return_heights=True) + logging.debug(peaks) + logging.debug(lphs) + logging.debug(hts) + + firstpeak = peaks[0] +### This is having trouble with the test cases (second peak is only 0.01 higher, but it's not the input +# if lphs[0] >= lphs[1]: +# firstpeak = peaks[0] +# else: +# firstpeak = peaks[1] +# if lphs[1] < 1.2*lphs[0]: +# logging.warning('Second peak (selected) less than 1.2x height of first peak.') + + if period is None: + period = firstpeak + + if fit_npeaks > len(peaks): + fit_npeaks = len(peaks) + #peaks = peaks[:fit_npeaks] + + #identify peaks to use in fit: first 'fit_npeaks' peaks closest to integer + # multiples of period guess + + fit_peaks = [] + fit_lphs = [] + fit_hts = [] + last = 0. + #used = np.zeros_like(peaks).astype(bool) + for n in np.arange(fit_npeaks)+1: + #find highest peak within 'tol' of integer multiple (that hasn't been used) + close = (np.absolute(peaks - n*period) < (tol*n*period)) & ((peaks-last) > 0.3*period) + if close.sum()==0: + fit_npeaks = n-1 + break + #raise NoPeakError('No peak found near {}*{:.2f}={:.2f} (tol={})'.format(n,period,n*period,tol)) + ind = np.argmax(hts[close]) + last = peaks[close][ind] + fit_peaks.append(peaks[close][ind]) + fit_lphs.append(lphs[close][ind]) + fit_hts.append(hts[close][ind]) + #used[close][ind] = True + logging.debug('{}: {}, {}'.format(n*period,peaks[close],peaks[close][ind])) + #logging.debug(used) + + #ind = np.argmin(np.absolute(peaks - n*period)) #closest peak + #fit_peaks.append(peaks[ind]) + #fit_lphs.append(lphs[ind]) + + logging.debug('fitting peaks: {}'.format(fit_peaks)) + + if fit_npeaks < 3: + return peaks,-1, fit_peaks, fit_lphs, fit_hts + + + x = np.arange(fit_npeaks + 1) + y = np.concatenate([np.array([0]),fit_peaks]) + + #x = np.arange(fit_npeaks) + 1 + #y = fit_peaks + + def fn(x,a,b): + return a*x + b + + fit,cov = curve_fit(fn, x, y, p0=(period,0)) + if return_peaks: + return fit[0],cov[0][0],fit_peaks,fit_lphs,fit_hts + else: + return fit[0],cov[0][0] + + + # TODO: implement using the score() function provided by subclasses ############ + + + + def acorr(self, maxlag=None, recalc=False, **kwargs): + + smooth = kwargs.get("smooth",18) + days = kwargs.get("days",True) + + if maxlag is None: + maxlag = self.default_maxlag + + + if self._ac is not None and not recalc: + lag = self._lag + ac = self._ac + else: + x = self.y.copy() + x[self.mask] = 0 + + #logging.debug('{} nans in x'.format((np.isnan(x)).sum())) + + ac = acor.function(x, maxlag) + lag = np.arange(maxlag) + + #smooth AC function + ac = gaussian_filter(ac, smooth) + + #set private variables for cached calculation + self._ac = ac + self._lag = lag + self._maxlag = maxlag + self._smooth = smooth + + if days: + return lag*self.cadence,ac + else: + return lag,ac + + def acorr_peaks(self, lookahead=5, days=True, + return_heights=False, **kwargs): + lag, ac = self.acorr(**kwargs) + return peaks_and_lphs(ac, lag, return_heights=return_heights, + lookahead=lookahead) + + + +def peaks_and_lphs(y, x=None, lookahead=5, return_heights=False): + """Returns locations of peaks and corresponding "local peak heights" + """ + if x is None: + x = np.arange(len(y)) + + maxes, mins = peakdetect(y, x, lookahead=lookahead) + maxes = np.array(maxes) + mins = np.array(mins) + + #logging.debug('maxes: {}'.format(maxes)) + + #calculate "local heights". First will always be a minimum. + try: #this if maxes and mins are same length + lphs = np.concatenate([((maxes[:-1,1] - mins[:-1,1]) + (maxes[:-1,1] - mins[1:,1]))/2., + np.array([maxes[-1,1]-mins[-1,1]])]) + except ValueError: #this if mins have one more + lphs = ((maxes[:,1] - mins[:-1,1]) + (maxes[:,1] - mins[1:,1]))/2. + + if return_heights: + return maxes[:,0], lphs, maxes[:,1] + else: + return maxes[:,0], lphs + diff --git a/periodogram/tests/test_acf.py b/periodogram/tests/test_acf.py new file mode 100755 index 0000000..13d070a --- /dev/null +++ b/periodogram/tests/test_acf.py @@ -0,0 +1,48 @@ +import logging + +import numpy as np +import matplotlib.pyplot as plt + +from periodogram import acf + +logging.basicConfig(level=logging.WARNING) + +def make_sine(xmin=1,xmax=100,cadence=0.02043423,shifts=[0],amplitudes=[1.]): + x = arange(xmin,xmax,cadence) + y = np.ones(len(x)) + for i,shift in enumerate(shifts): + y *= np.sin(x + shift)*amplitudes[i] + y += np.random.random(len(x))*0.5 + return x,y + +def plot_test(x,y,input_period,fit_period): + plt.figure() + ax = plt.subplot(111) + ax.plot(x,y,"k.") + for per in np.arange(1,ax.get_xlim()[1],input_period): + ax.plot([per,per],ax.get_ylim(),"g--") + for per in np.arange(1,ax.get_xlim()[1],fit_period): + ax.plot([per,per],ax.get_ylim(),"r-") + +def test_single_sine(): + x,y = make_sine(xmax=60) + a = acf.acf() + a.fit(x,y) + period,period_err = a.period_search() + print "Input = 2*pi = {}".format(2*np.pi) + print period,period_err + plot_test(x,y,2*np.pi,period) + +def test_double_sine(): + x,y = make_sine(xmax=60,shifts=[0.,np.pi/5.],amplitudes=[1.,0.9]) + a = acf.acf() + a.fit(x,y) + period,period_err = a.period_search() + print "Input = 2*pi = {}".format(2*np.pi) + print period,period_err + plot_test(x,y,2*np.pi,period) + + +plt.close("all") +test_single_sine() +test_double_sine() From c88fdf9ad0f964533eb153d53c0708948fa8aba4 Mon Sep 17 00:00:00 2001 From: Timothy Morton Date: Sun, 11 Jan 2015 00:57:02 -0500 Subject: [PATCH 02/16] implemented ACF, with test --- periodogram/acf.py | 191 ++++++++-------------------------- periodogram/tests/test_acf.py | 60 ++++------- periodogram/timeseries.py | 10 +- 3 files changed, 74 insertions(+), 187 deletions(-) mode change 100755 => 100644 periodogram/tests/test_acf.py diff --git a/periodogram/acf.py b/periodogram/acf.py index 7cfdc6b..b315dde 100755 --- a/periodogram/acf.py +++ b/periodogram/acf.py @@ -6,9 +6,8 @@ import numpy as np import matplotlib.pyplot as plt +from scipy.interpolate import UnivariateSpline as interpolate from scipy.ndimage.filters import gaussian_filter -from scipy.ndimage import median_filter -from scipy.optimize import leastsq, curve_fit import logging @@ -19,170 +18,70 @@ -class acf(PeriodicModeler): +class ACF(PeriodicModeler): """ - Autocorrelation Function for periodic modeling + Autocorrelation function for periodic modeling. - kwargs - ------ - smooth=18 - - days=True - - + This can only deal with evenly sampled data. Use ACFUneven + for implementation of Scargle (1989) ACF for uneven time sampling. """ - def __init__(self, *args, **kwargs): - - # Set cadence (use astropy.units) - self.cadence = 0.02043423 #d #PLACEHOLDER - self.default_maxlag = 50//self.cadence - - #set private variables for cached acorr calculation - self._lag = None #always should be in cadences - self._ac = None + def __init__(self, maxlag=None, smooth=None): + self.maxlag = maxlag + self.smooth = smooth + self.power_fn = None + def fit(self, t, y, dy=None, filts=None): - """Provide data for the fit""" + """Data must be evenly sampled. + """ + + #TODO: add real test to see if data is evenly sampled with no gaps + # for now, just assume it is + self.t = np.atleast_1d(t) self.y = np.atleast_1d(y) - self.dy = dy + self.dy = dy #ignored - mask = np.isnan(self.y) - self.mask = mask - self.y = self.y[~self.mask] - - def predict(self, t, filts=None, period=None): - """Predict the best-fit model at t for the given period""" - raise NotImplementedError() - - def score(self, period): - """Compute the score for a period or array of periods""" - - - def period_search(self, period=None, fit_npeaks=4, - smooth=18, maxlag=None, lookahead=5, - tol=0.2, return_peaks=False): - """Find the best period for the model""" - # This was acorr_period_fit - - peaks, lphs, hts = self.acorr_peaks(smooth=smooth, maxlag=maxlag, - lookahead=lookahead, return_heights=True) - logging.debug(peaks) - logging.debug(lphs) - logging.debug(hts) - - firstpeak = peaks[0] -### This is having trouble with the test cases (second peak is only 0.01 higher, but it's not the input -# if lphs[0] >= lphs[1]: -# firstpeak = peaks[0] -# else: -# firstpeak = peaks[1] -# if lphs[1] < 1.2*lphs[0]: -# logging.warning('Second peak (selected) less than 1.2x height of first peak.') - - if period is None: - period = firstpeak - - if fit_npeaks > len(peaks): - fit_npeaks = len(peaks) - #peaks = peaks[:fit_npeaks] - - #identify peaks to use in fit: first 'fit_npeaks' peaks closest to integer - # multiples of period guess - - fit_peaks = [] - fit_lphs = [] - fit_hts = [] - last = 0. - #used = np.zeros_like(peaks).astype(bool) - for n in np.arange(fit_npeaks)+1: - #find highest peak within 'tol' of integer multiple (that hasn't been used) - close = (np.absolute(peaks - n*period) < (tol*n*period)) & ((peaks-last) > 0.3*period) - if close.sum()==0: - fit_npeaks = n-1 - break - #raise NoPeakError('No peak found near {}*{:.2f}={:.2f} (tol={})'.format(n,period,n*period,tol)) - ind = np.argmax(hts[close]) - last = peaks[close][ind] - fit_peaks.append(peaks[close][ind]) - fit_lphs.append(lphs[close][ind]) - fit_hts.append(hts[close][ind]) - #used[close][ind] = True - logging.debug('{}: {}, {}'.format(n*period,peaks[close],peaks[close][ind])) - #logging.debug(used) - - #ind = np.argmin(np.absolute(peaks - n*period)) #closest peak - #fit_peaks.append(peaks[ind]) - #fit_lphs.append(lphs[ind]) - - logging.debug('fitting peaks: {}'.format(fit_peaks)) - - if fit_npeaks < 3: - return peaks,-1, fit_peaks, fit_lphs, fit_hts - - - x = np.arange(fit_npeaks + 1) - y = np.concatenate([np.array([0]),fit_peaks]) - - #x = np.arange(fit_npeaks) + 1 - #y = fit_peaks - - def fn(x,a,b): - return a*x + b - - fit,cov = curve_fit(fn, x, y, p0=(period,0)) - if return_peaks: - return fit[0],cov[0][0],fit_peaks,fit_lphs,fit_hts + if self.maxlag is None: + maxlag = len(self.y) else: - return fit[0],cov[0][0] - - - # TODO: implement using the score() function provided by subclasses ############ - + maxlag = self.maxlag + self.cadence = np.median(self.t[1:] - self.t[:-1]) + + self.ac = acor.function(self.y, maxlag) + if self.smooth is not None: + ac = gaussian_filter(ac, smooth) + + self.lag = np.arange(maxlag) * self.cadence - def acorr(self, maxlag=None, recalc=False, **kwargs): - - smooth = kwargs.get("smooth",18) - days = kwargs.get("days",True) - - if maxlag is None: - maxlag = self.default_maxlag + self.power_fn = interpolate(self.ac, self.lag, s=0, k=1) - - if self._ac is not None and not recalc: - lag = self._lag - ac = self._ac - else: - x = self.y.copy() - x[self.mask] = 0 + def score(self, period): + """Compute the score for a period or array of periods""" + if self.power_fn is None: + raise RuntimeError('Must fit before calculating score') - #logging.debug('{} nans in x'.format((np.isnan(x)).sum())) + return self.power_fn(period) + - ac = acor.function(x, maxlag) - lag = np.arange(maxlag) + def period_search(self, lookahead=5): + """Finds most promising peak; returns as best period. + """ - #smooth AC function - ac = gaussian_filter(ac, smooth) + peaks, lphs, hts = peaks_and_lphs(self.ac, self.lag, return_heights=True, + lookahead=lookahead) - #set private variables for cached calculation - self._ac = ac - self._lag = lag - self._maxlag = maxlag - self._smooth = smooth + #Return first peak, unless second peak is more than 5% higher (arbitrary, granted) + if lphs[1] > 1.05*lphs[0]: + logging.warning('ACF period_search: second peak ({0[1]}) is more than 5% higher than first ({0[0]}); using second'.format(lphs)) + return peaks[1] - if days: - return lag*self.cadence,ac else: - return lag,ac - - def acorr_peaks(self, lookahead=5, days=True, - return_heights=False, **kwargs): - lag, ac = self.acorr(**kwargs) - return peaks_and_lphs(ac, lag, return_heights=return_heights, - lookahead=lookahead) + return peaks[0] + diff --git a/periodogram/tests/test_acf.py b/periodogram/tests/test_acf.py old mode 100755 new mode 100644 index 13d070a..cfa2fef --- a/periodogram/tests/test_acf.py +++ b/periodogram/tests/test_acf.py @@ -1,48 +1,28 @@ -import logging - import numpy as np -import matplotlib.pyplot as plt +from numpy.testing import assert_allclose, assert_array_less, assert_equal -from periodogram import acf - -logging.basicConfig(level=logging.WARNING) +import logging -def make_sine(xmin=1,xmax=100,cadence=0.02043423,shifts=[0],amplitudes=[1.]): - x = arange(xmin,xmax,cadence) - y = np.ones(len(x)) - for i,shift in enumerate(shifts): - y *= np.sin(x + shift)*amplitudes[i] - y += np.random.random(len(x))*0.5 - return x,y +import matplotlib.pyplot as plt -def plot_test(x,y,input_period,fit_period): - plt.figure() - ax = plt.subplot(111) - ax.plot(x,y,"k.") - for per in np.arange(1,ax.get_xlim()[1],input_period): - ax.plot([per,per],ax.get_ylim(),"g--") - for per in np.arange(1,ax.get_xlim()[1],fit_period): - ax.plot([per,per],ax.get_ylim(),"r-") +from ..acf import ACF -def test_single_sine(): - x,y = make_sine(xmax=60) - a = acf.acf() - a.fit(x,y) - period,period_err = a.period_search() - print "Input = 2*pi = {}".format(2*np.pi) - print period,period_err - plot_test(x,y,2*np.pi,period) +def make_sine(N=1000, P=100, err=0.05, rseed=None): + rng = np.random.RandomState(rseed) + + t = np.arange(N) #evenly-sampled data + y = np.ones(len(t)) + + y *= np.sin(2*np.pi*t/P) + y += rng.randn(N)*err + + return t,y -def test_double_sine(): - x,y = make_sine(xmax=60,shifts=[0.,np.pi/5.],amplitudes=[1.,0.9]) - a = acf.acf() - a.fit(x,y) - period,period_err = a.period_search() - print "Input = 2*pi = {}".format(2*np.pi) - print period,period_err - plot_test(x,y,2*np.pi,period) +def test_single_sine(P=100): + t,y = make_sine(P=P) + a = ACF() + a.fit(t,y) + pbest = a.period_search() + assert_allclose(pbest, P, 0.01) -plt.close("all") -test_single_sine() -test_double_sine() diff --git a/periodogram/timeseries.py b/periodogram/timeseries.py index 42d9c72..5d0e930 100644 --- a/periodogram/timeseries.py +++ b/periodogram/timeseries.py @@ -6,6 +6,9 @@ import numpy as np import matplotlib.pyplot as plt +from .lomb_scargle import LombScargle +from .supersmoother import SuperSmoother + class TimeSeries(object): def init(self, t, f, df=None, mask=None, band=None): @@ -61,7 +64,7 @@ def f(self): def df(self): return self._df[~self._mask] - def add_perodic_model(self, model, *args, **kwargs): + def fit_periodic_model(self, model, *args, **kwargs): """Connects and fits PeriodicModeler object Parameters @@ -71,6 +74,11 @@ def add_perodic_model(self, model, *args, **kwargs): args, kwargs passed on to PeriodicModeler """ + if model=='supersmoother': + model = SuperSmoother(*args,**kwargs) + elif model=='lomb-scargle': + model = LombScargle(*args,**kwargs) + m = model(*args,**kwargs) m.fit(self.t, self.f, self.df) From 1532e146ea11ae8dd4348dcff1bcac16e41bf937 Mon Sep 17 00:00:00 2001 From: Timothy Morton Date: Sun, 11 Jan 2015 01:15:47 -0500 Subject: [PATCH 03/16] added ACF example notebook, with test data --- examples/ACFExample.ipynb | 119 ++++++++++++++++++++++++++++++++++++++ examples/koi63.npy | Bin 0 -> 718304 bytes periodogram/acf.py | 4 +- 3 files changed, 122 insertions(+), 1 deletion(-) create mode 100644 examples/ACFExample.ipynb create mode 100644 examples/koi63.npy diff --git a/examples/ACFExample.ipynb b/examples/ACFExample.ipynb new file mode 100644 index 0000000..99af7e5 --- /dev/null +++ b/examples/ACFExample.ipynb @@ -0,0 +1,119 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:2b0915c403ea6602b1f819974fda084d3e076a014534da1051cbe5ca8556c981" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Using the autocorrelation function to find a periodic signal\n" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%matplotlib inline\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# use seaborn for matplotlib settings\n", + "import seaborn; seaborn.set()" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 1 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## The Data\n", + "Exmple data will be Q1-Q15 photometry of KOI-63. Using Kepler data because the straight-up ACF requires evenly-sampled data. This data is pre-conditioned to have no gaps (gaps have been set to zero)." + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "data = np.load('koi63.npy')\n", + "t, y = (data[:,0], data[:,1])\n", + "\n", + "fig, ax = plt.subplots()\n", + "ax.plot(t, y, 'o', ms=0.5);\n", + "ax.set_xlabel('MJD')\n", + "ax.set_ylabel('flux')\n", + "ax.set_title('KOI-63');" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": "iVBORw0KGgoAAAANSUhEUgAAAgUAAAFtCAYAAACX0xmnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\njQJCCCGE+NAoIIQQQggA4P8Ds+I1AwvjKMkAAAAASUVORK5CYII=\n", + "text": [ + "" + ] + } + ], + "prompt_number": 2 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# add up-directory to Python path\n", + "import sys, os; sys.path.append(os.path.abspath('..'))\n", + "from periodogram.acf import ACF" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 3 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "model = ACF(maxlag=1000).fit(t,y)\n", + "\n", + "periods = np.linspace(0.1, 20, 1000)\n", + "scores = model.score(periods)\n", + "\n", + "plt.plot(periods, scores);" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": "iVBORw0KGgoAAAANSUhEUgAAAesAAAFVCAYAAADPM8ekAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzs3Xl0XPd14PnvqxUFFApVQFVhX0iCeAI3iSIlUavlRZbj\nJZETd2yns3Q6zuJM95k4OT2T6emePpnOzJyZjJOc0+ckncVJ7HEnTjuJ49ix5UWWLEuUKFPcQfIR\nBLGvBRT2KhRqefNH1QNhiMRSqKpXy/2co3NIFPDeT3gEbv3u7/7uT9F1HSGEEEIUL4vZAxBCCCHE\n9iRYCyGEEEVOgrUQQghR5CRYCyGEEEVOgrUQQghR5CRYCyGEEEVuX8FaVdXHVFV9+R4f/4iqqm+p\nqnpWVdVP7eceQgghRKXLOlirqvo/AX8GOLd83A78PvAc8C7gV1RVDe5nkEIIIUQl28/M+jbwk4Cy\n5eO9wG1N0xY1TYsDrwHP7OM+QgghREXLOlhrmvYPQOIeL3mAxU1/Xwbqsr2PEEIIUelsebjmIlC7\n6e+1wPx2X6Bnep6urSdxOfMxJCGEEKKobM1KbysfkfEmcFhVVR+wSjoF/nvbfYGiKHzh69f4p9eG\n+Pc/d4r2oDsPwxL5EgjUEgotmz0MkQV5dqVNnl/pCgRqd/6kTXKxdUsHUFX1k6qq/nJmnfo3gW8B\nZ4HPaZo2udNF2oNuYvEkX3jxJnK4iBBCCHGXUiSBUQ+Flvmjr1zlvBbi3/7UcU4eDpg9JrFL8u6+\ndMmzK23y/EpXIFC7pzR4UTVF+YmnD6IAX3t9SGbXQgghREZRBetWfw0PHfYzNLXM8LS8WxRCCCGg\nyII1wLseagHg1cs7LnMLIYQQFaHogvWxAw34ap2cuz5FbD1p9nCEEEII0xVdsLZYFJ483kQ0luTy\nwKzZwxFCCCFMV3TBGuB0ppX4hVshk0cihBBCmK8og3V70I2/roorA3PEEymzhyOEEEKYqiiDtaIo\nPNwTYG09yY3hbTuVCiGEEGWvKIM1wMM96aYol/olFS6EEKKyFW2wPtTqweW0cn1IZtZCCCEqW9EG\na6vFwgMdPmYWooQWomYPRwghhDBN0QZrgCNd9QCybi2EEKKiFXmw9gFwfShs8kiEEEII8xR1sG6q\nr8ZX6+T60Lwc7CGEEKJiFXWwVhSFnnYvK9E4U+GI2cMRQgghTFHUwRqgu7UOgNtjiyaPRAghhDBH\n0Qfrw23pYN0/LsFaCCFEZSr6YN0WcONyWumXmbUQQogKVfTB2mJRONhSx3Q4wlJk3ezhCCGEEAVX\n9MEa4HBm3frO+JLJIxFCCCEKrySC9YEWDwBDUxKshRBCVJ6SCNadTbUADE0tmzwSIYQQovBKIlh7\nqh00eKoYmlyS5ihCCCEqTkkEa4Cu5lqWInHml2NmD0UIIYQoqNIJ1plU+OCkpMKFEEJUltIJ1s1S\nZCaEEKIy2bL5IlVVLcAfASeAGPApTdMGNr3+UeDfAzrwF5qm/df9DrRLisyEEEJUqGxn1i8ADk3T\nngB+G/jsltd/H3gOeBL4LVVV67IfYlpNlZ2g1yVFZkIIISpOtsH6SeBFAE3TzgGnt7weB7yAC1BI\nz7D3raOpltW1BOElKTITQghRObIN1h5g8+JxMpMaN3wWeBu4BnxN07ScLDS3B90AjIZWcnE5IYQQ\noiRktWZNOlDXbvq7RdO0FICqqh3AvwE6gQjwRVVVP6Zp2t9td8FAoHa7lwE41h3gK6/eYX41vqvP\nF4Ujz6N0ybMrbfL8KkO2wfp14CPAl1VVPQNc2fRaFZAEYpqmpVRVnSGdEt9WKLRz4VitMz1514bm\ndvX5ojACgVp5HiVKnl1pk+dXuvb6JivbYP0V4DlVVV/P/P0XVVX9JODWNO3PVFX9PHBWVdU14Dbw\nV1ne50c0eKpwOa2MzkgavJhNzq0yOLmEp9qB2uHFbrOaPSQhhChpWQVrTdN04NNbPnxr0+t/APzB\nPsZ1T4qi0BZwc3t8kfV4EoddgkAxia0n+cK3bvJG3/TGxxo8Tn7pQ0d4oNNn4siEEKK0lUxTFENb\n0I2uw8TcqtlDEZvEE0n+4L9f4o2+aTqbavnZ9/fw3lNtLKys8/v//RLX7syZPUQhhChZJRes2wOZ\ninBJhReVv3npNrfGFjmtBvhff+4U73m4jX/5XA+f+ekHAYU//mofoYWo2cMUQoiSVHLBui2zfWts\nRmbWxeJyf4hXLo7TFqjhlz9yBJv17j+rI131/NzzPURjCb7w4k1paCOEEFkouWDd6q8BYHRGKiCL\nga7r/OXX+wD4xQ/23rOY7KnjzZw41EDf0DwX+2cLPUQhhCh5JResXU4b/roqJmZlZl0M3tZCDIwt\n8mhvkAOZw1a2UhSFj7+nG0WBr742SEpm10IIsSclF6wBWvw1LEXirETjZg+loum6ztfODmGxKLzw\n9MFtP7e5oYYzRxoZnVnhghYq0AiFEKI8lGawbkinwmV2ba7b44uMzqzw+PFmmuqrd/z8jzx5AIDv\nnB/N99CEEKKslGSwbvanA8OkbN8y1csXxgH40BMHdvX5TfXVHDtQT//YolTzCyHEHpRksL47s46Y\nPJLKtRxZ54c3Z2huqObYoYZdf927H24F4OWL4/kamhBClJ2SDNbNmWAtM2vzvK2FSKZ0nj7RgqIo\nu/66Bw/58dU6OXd9ingimccRCiFE+SjJYF1dZcPrdkgXMxOdu55uKfpob3BPX2exKDx2pJFoLMmV\nAelqJoQQu1GSwRrSFeHhpRjRWMLsoVSc+eUYt0YX6Gmro95Tteevf6y3Ebgb8IUQQmyvZIO1kQqf\nCsu6daGd12bQgUcyQXevOhrdNNVXc3lgTt5sCSHELpRssG7xy/Yts1y+ne5C9nBPIKuvVxSFR3uD\nxBMprg2Gczk0IYQoS6UbrBvS27dk3bqworEE2sgCnY21+GqdWV/nocN+AC5J+1EhhNhRyQbr5szM\nelK2bxVU32CYZErnwe7db9e6l47GWurcDq7emSOVkvajQgixnZIN1p5qB26XXWbWBXZ5ID0TfrDb\nv6/rWBSFBw/5WYnGuTOxlIuhCSFE2SrZYA3pVHhoISr7dQtE13X6BsPUVtvpbKrd9/WM2bnxBkAI\nIcS9lXSwbmqoRtdhZj5q9lAqwlQ4wsLKOr2dPix7aIRyP0e66rHbLFy6LcFaCCG2U9LBujFzeMRU\nWIJ1IdwcngfggU5fTq7ntFtRO7yMh1aZX47l5JpCCFGOSjpYN/nSwXpmXorMCuHGyAIAvTkK1gBH\nOusBuDkyn7NrCiFEuSnpYH13Zi3BOt9Sus7N4XnqPU6CXlfOrmsE/hvDEqyFEOJ+SjpYB7wuFAWm\nJVjn3XholZVonN4O354O7thJe6ObmiobN4bm0XXZwiWEEPdS0sHabrPQ4KliSgrM8u5GjterDRZF\n4YEOH3NLa4QW13J6bSGEKBclHawBmuqrWVpdlx7TedY/ml6vVju8Ob+28QbgpqTChRDinko+WBvr\n1tNSZJY3uq5ze3wRr9tBQxanbO3EWLe+PiR9woUQ4l5s2XyRqqoW4I+AE0AM+JSmaQObXn8E+Cyg\nAOPAz2uatr7/4b5T06Yis64mTz5uUfHmFtdYXF3ntBrI6Xq1obmhGk+Ng/6xRXRdz8s9hBCilGU7\ns34BcGia9gTw26QDMwCqqirAnwL/StO0p4GXgAP7Hej9NNanK5OnZa913tweXwTgUGtdXq6vKAqH\nW+uYX44xtyTr1kIIsVW2wfpJ4EUATdPOAac3vdYDzAG/qarqK4BX0zRtP4PcTqNP0uD5NjCe7t3d\nnadgDdDdlr727bHFvN1DCCFKVbbB2gNsPn0hmUmNA/iBJ4D/ArwPeK+qqu/Ofojba/BUYbMqsn0r\nj26PL2KzKnQ07r8f+P0YwbpfgrUQQrxDVmvWpAP15t/cFk3TUpk/zwG3jdm0qqovkp55v7zdBQOB\n7ANBs9/NzHwUv98t6505thZLMBpaQe3w0dJ8/5n1fp4fgNdXg8N2kcGp5X1fS+yNfL9Lmzy/ypBt\nsH4d+AjwZVVVzwBXNr12B3CrqnooU3T2NPDnO10wFFrOcijg9zgZnV7mznAYT40j6+uId7o5PE8q\npdMRrLnvMwoEavf1/AwHmj3cGl1geHSe6qps/2mKvcjVsxPmkOdXuvb6JivbNPhXgDVVVV8nXVz2\nGVVVP6mq6i9nqr5/CfhrVVXfAkY0TftmlvfZlSbZvpU3g5Pp1Y6DLflbrzZ0t9WhA3cmJBUuhBCb\nZTV90TRNBz695cO3Nr3+MvDYPsa1J5t7hB9uy33Tjko2NJV+196Vg/Ord3J407r1sYMNeb+fEEKU\nipJvigLQ6JPtW/kyPLVMTZUNf13um6FsZczejdm8EEKItLJYGNxIg0tFeE5F1uLMLEQ50pXbwzvu\nx+2yE/S6GJxckuYoRWY5ss5bN2YYn13F5bRy/EADaodXnpEQBVIWwdpT48BptzKzIDPrXBrOpMA7\nC5ACNxxo8XDu+jShhSjBzB56YR5d13n18gRf+t5tYuvJjY9/880Rejt9fOrDR/DVOk0coRCVoSzS\n4IqiEPC6mFmIyjGLOTQ0baxXF66N64HMG4M7kgovCl/5wSCff1HDZlH4+Hu6+Z1//Si/9fGHOHaw\nnhvD8/zuF87LefJCFEBZBGuAoM9FbD3JciRu9lDKxnABi8sMB1rSbwwGJ2Q7itl+cHmCr58dIuhz\n8Z9+8RGef7SD9qCbowfq+cy/eJCPPXuI+eUYf/jly6yuyc+dEPlUPsHamy4yk1R47gxNFq64zNDR\nWItFURickpm1mcZmVvjid25R7bTxWx9/CH+d60deVxSFD57p5INnOpmZj/JnX7suWS0h8qhsgnUg\nUxEempdgnQtGcVlnU21Bi4icdiutgRpGppZJJFM7f4HIuZSu8/kXbxJPpPilD/cS8Lru+7k/+cxB\njh6o58rAHGevTRVwlEJUlrIJ1jKzzi0zissMB5o9rCdSTMyuFvzeAs5enWJgYolHHghy8nBg28+1\nWBT+1QcewGm38qWX+lmK5OUkXCEqXtkEa2NmPSMz65wwo7jMcKA5/QZB9lsXXjyR5O9fHcBht/Dx\n93Tv6msa6qr46DMHWV1L8PWzQ/kdoBAVqmyCdYPHidWiMLMglam5MDq9AkBno7vg9z7QnCkyk2Bd\ncK9enmRxZZ33nmqj3rP7WoX3PNyKv66KVy6OMyvZLSFyrmyCtdViocFTJWvWOTIaWsHpsOLfZr0y\nX1oDNThsFoYmpSK8kBLJFN88N4zDZuH5Rzr29LU2q4WPPn2QRFLn628M5WV8QlSysgnWkE6FL0Xi\nRGMJs4dS0uKJFFNzEdoCNVhM6FBltVhoDbgZn10lnpAis0I5f3OG8FKMZx5qyer0useONBL0uTh7\nbYqFlVgeRihE5SqrYG0UmYUkDbcvk3OrJFM67YHCp8ANnY1ukildiswK6HsXxlGA951qy+rrLRaF\nDzzaQSKp89LbY7kdnBAVrqyCdUCCdU6MhdLr1W1B84J1R2O6yGx4WlLhhTAyvczt8fRpZ/tp8/rE\nsSY81XZevjDOejy58xcIIXalrIJ10Cfbt3JhbCY9m20zc2ad2TI2IsG6IL5/eQKAdz/cuq/rOOxW\nnn6whUgswXltJhdDE0JQbsHaK41RcmHUmFmbGKyN9fKRTFW6yJ9EMsUPb8zgqXFw/GD9vq/39IMt\nAHz/0sS+ryWESCurYB2Qxig5MTqzQoOniuoq8w5ls9usNPurGZ1ZIZWSNpb5dO1OmJVonEd7g1gt\n+/+VEPS6ONrlo39skXGpORAiJ8oqWDsdVupqHNIYZR8WV9dZWl2n3cT1akNHsJZYPMn0vOydz6c3\nr6fbhD5+tCln13zXQ+l0+qsyuxYiJ8oqWEN6+1Z4KSZ9pbN0t7isxuSR3G3IIqnw/ImsxbnYP0tj\nfXVOT1d76LAft8vOuRvTJFPysyjEfpVdsA56XaR0nbmlNbOHUpLGZsxfrzYYFeFSZJY/b/VNEU+k\nOHOkMacHttisFk4/EGRpdZ2bwws5u64QlaosgzVIkVm2jGBdFGnwjZm1BOt8eTNzUtYpdfsDO7Jx\n5kgjAOeuT+f82kJUmrIL1gHZvrUvY6FVbFbLxjY4M1VX2fHXVTE8vSJnJedBPJHigjZN0Oui1Z/7\nZY/utjrqPU7evjVDPCF7roXYj7IL1htHZcrMes9Sus7k3CotDdU5qQrOhc7GWlaiceaXpX1lrt0Y\nnicaS/LQYX9eziy3KAqP9TYSjSW5MjCX8+sLUUmK4zdyDhkza+litnezi2usJ1K05GGWla0OKTLL\nm4v9IQAe7sl9CtzwaG86Ff72rVDe7iFEJSi7YF3rslPlsEoaPAtGH+7mogrWmSKzGVm3zqWUrnOp\nfxZPjYPu1rq83aej0U2Dx8nl23OyQ0OIfSi7YK0oCv46F7MLa7LOuUeTmWDd0lA8wdqoSh8LSXON\nXBqdXmFxdZ3TvY1YLPk7WU1RFE4eDhCNJdBGpSpciGxlFaxVVbWoqvpfVVU9q6rqy6qqHrrP5/2p\nqqr/1/6GuHcBbxWxeJLlaLzQty5pxsy6xZ/9QQ65Vu9x4nLaNqrURW5cG0yvIT+sBvN+r5OZNPtF\nSYULkbVsZ9YvAA5N054Afhv47NZPUFX1V4FjQMGnt0bb0dkF2Wu9FxNzq9isSlFUghsURaE9UMP0\nfEROccqh60PzADyUx/VqQ097HTVVNi72z0q2S4gsZRusnwReBNA07RxwevOLqqo+ATwK/AmQvxzb\nffjrqgCYXZR1693SdZ2J2QhN9cVTCW5oDbrR9fSbCbF/sfUk/WMLdDbWUud25v1+VouFB7v9zC/H\nGJqS2gMhspHtb2UPsLTp70lVVS0Aqqo2A/8b8G8wIVAD+OVc6z0LL8WIxZNFVQluaM+sW49KKjwn\ntNEFEkmdIwd8BbvnycPpGfwFSYULkZVsj1VaAjY3ErZommaUen4M8APfAJqAalVVb2ia9oXtLhgI\n5K4vsZpMp9pWYsmcXrecjcylD8vo7qjP6nuWz+/z8Z4gfEsjvBKX55kDd84OAfDkQ21Afp+d4VmP\niz/9Wh/Xh+f5NXmGOSU/E5Uh22D9OvAR4Muqqp4BrhgvaJr2X4D/AqCq6i8AD+wUqAFCodylxyyZ\ngwNGp5Zyet1ydmNgFgCvy7bn71kgUJvX73O1LZ2guTUclueZA+evT+OwWQi4HUBuf/a209PupW8w\nzK07s/hq859+rwT5/tkT+bPXN1nZBuuvAM+pqvp65u+/qKrqJwG3pml/tuVzC15R4rRb8dQ4pMBs\nD8aLcI+1weW04a+rYjwkafD9Ci+tMTG7yvGDDdhtha1NOH6gnr7BMNcG53j6REtB7y3ubSUa560b\n01wfmmc5sk5ttYOetjoeO9JYkHoGsXtZBWtN03Tg01s+fOsen/f5bK6fC4G6Koamlkml9LzuIy0X\nk7OrWC0KjUVUCb5Ze9DNxf5ZFlfXqatxmD2cknVjOF0FfqSrcOvVhuOHGvjS925z9U5YgrXJdF3n\npbfH+MoPBonGEj/y2oVbIf7+1Tv82GMdfPiJLmzW4io4rVTZzqyLXsDrYmBiifDyGv664gxAxULX\ndSbmVgn6XEX7g9kaSAfrsZkV6g7Umz2cknUr05jkgY7CB+um+moaPFVcHwyTTKWKbtdBpYgnknzu\nn2/w1o0Zqp02PvbsIR7tDVLvqWJxZZ0Lt0L88xtD/NPrQ1wfnud/eOGYzLKLQNn+tPi9me1bkgrf\n0cLKOtFYcVaCG4wjO8ckFb4v2ugCLqfVlCNQFUXh+KEGIrEEdyaWdv4CkXPJVIo//sc+3roxQ3dr\nHf/Hr5zhg2c68de5sCgKvlon7z3Vxv/5K2d4tDfI7bFF/u+/vsjiihykY7byDdZ1sn1rtyaKsM3o\nVm2B9Nikk1n25pdjzMxHOdzmNW1p6HgmK3L1jpzCZYb/9u1bXLo9S2+nj3/3yYfuu6RU5bDxqz9+\nlA881sFUOMJn//bSO9LlorDKNlgHMo1RQosys96JEaxbA8UbrBt91dhtFkZlZp01IwWutntNG8MD\nnT6sFoWrA2HTxlCp3rg2xSuXJugIuvm3P3Ucu8267ecrisK/ePYQ7z7ZylholT//+nVS0oHONOUb\nrI2Wo9LFbEdGZ7BinllbLAot/homZiMkU3J6UzaMYN1jYrB2OW0cbqtjZHqZ5ci6aeOoNLOLUb7w\nLY0qh5VPf/QYVY7dlSspisIn33eY3k4fF/tn+e75sTyPVNxP2QZrn8eJRVFkzXoXJmZXURRorC+e\nAzzupT3gJpFMMR2WN2DZ0EYXcNgtdDaZ20Sjt9OHDtwckVO4CkHXdb747VvE4kn+5XM9NPr29nNu\ns1r41R8/ittl5++/P8CktP01RdkGa6vFQr3HKWvWuzAxu0rQ6yr4vtu92li3llT4ni1F1pmYXaW7\ntc70iv/ervS69Y0hSYUXwoVbs1wZmKO308cTx5qyuoanxsEvfEAlnkjx51+/QSol6fBCK+7fzvsU\n8LpYXF2X05q2sRKNs7qWoKnIZ9UAbVIRnrX+IkiBGw4011LlsHI9s+db5E8yleLvvj+ARVH42ff3\noCjZFxaeUoOcOdLI4OQSr16eyOEoxW6UebA2Tt+SVPj9TGV6gjc1FH+wbs0c6DEekjTcXt0aXQTM\nLS4zWC0W1HYvM/NRqSnJsx9cmWQ6HOGZh1pozkFNyk+/p5sqh5V/ePUOK9F4DkYodqusg7WxfUt+\nIdzfVDgdrIt9vRrAU23H7bJvtEYVuzcwsYjVotDV7DF7KAAc2UiFy+w6X2LxJF99bRCH3cKPP9mV\nk2t63U5+/MkDrETjfPUHgzm5ptid8g7WmZl1SIrM7mt6Ph2sm0sgWCtKuiI8NB+VpY09iCeSDE8t\n0xZ047Rvv12nUHoz7U5vSCo8b16/OsniyjrPnW7Hm8MOZO873Uajz8Url8aZkZqgginrYB2Qxig7\nMtLgpTCzhvRecB2YzIxb7Gx4eoVkSqe7pc7soWxo9dfgqXFwY3geXfbu5lwyleLFcyPYbRaeO92e\n02vbrBZeePogyZTO116T2XWhlHew3thrLTPr+5maj1DlsJbM4RitmZao47NSZLZbA+Pp9epDrcWR\nAod0lqS308fi6vpGUx6RO+dvhphdXOOp48148vCz/UhvkNZADWf7pmQrV4GUdbCurbbjsFuYlZn1\nPaVSOtPhKI311fuqEi2ku8FafkHs1t1gXTwza0jvtwa4LuvWOaXrOi+eG0FR4PlHczurNlgUhRee\nOoiuw1dldl0QZR2sFUUhUOcitBiVVNs9hJfWSCRTJbFty2AcNjIhFeG7NjCxhKfGgT/TgrdYHMkE\n65sjEqxz6c7kEsPTy5w8HCC4xwYoe/Fwj5/Oxlp+eGNGZtcFUNbBGtKp8GgsyeqaNKHfyqgEL6Vg\nXVvtwFPjkJn1LoWX1phfjnGoxVN02RO/10WDx8mt0QXpOZ1D37+Y3gP97Mn8nhmuKAoferwTHfjW\nWyN5vZeogGBtzCZk+9Y73d22VVrnfbf6a5hdXGNtXd6A7eR2kabADT3tPlbXEpIpyZHIWpy3bkwT\n8FZtbI/Lp4d7AgR9Ls5em5JjNPOs/IO1UWQm27feweix3VxfvAd43IuRCpeK8J0NjKfPjT7UUjzF\nZZupHekmLdqo9AnPhbPXplhPpHjmwRYsBcikWCwKzz/STiKp89235ZCPfCr7YL1xVKYUmb3DVDg9\nmwn6Sm9mDdLJbDeKrRnKVhvBWtat903Xdb5/aQKrReGpE/lNgW/25PFm3C47L18Yl2xXHpV/sM7M\nrOVc63eaCkfxuh24nLs7Lq9YGOduy/at7cUTKUami6sZylZBrwuv28Gt0QUpAt2nwcllxmdXOdkT\nKOhWTIfdyntPtRGJJXj96lTB7ltpyj5YG13MZPvWj1qPJwkvrZVUcZlBtm/tzsjMMomkXrQpcEgX\nKakdPpYicVnW2Kc3+tKB8sksT9baj2cfasFqUXj54ri86cqTsg/WVQ4bbpddZtZbzMxH0SmdzmWb\nVVfZ8bod0kxjB8NTywB0NRVvsIa7h4vIunX2EskUb92Yxu2yc/RA/gvLtqpzOzmlBpiYXeWWPMe8\nKPtgDenTt+YWo7I9ZJNS3La1WWvATXgpRkS25N3X0EawrjV5JNuTdev9uz40z3IkzqO9QdPOK3/P\nw20AfO/CuCn3L3cVEqxdJJI6C8uytcBQSqdt3YuRCp+QZgz3NTK1jN1modlf3M+4qb4aT7UdTdat\ns/bm9XQK/MzRwqfADYfb6mgL1HDhVogF2caVcxURrO8elSmpcMN0uHRO27qXjU5mkgq/p3gixfjs\nKu1BN1ZLcf+YK4pCT7uXxZV1ZualtmSv1tYTXLgVIuCtMrU+QVEU3v1wG8mUzquXJkwbR7kq7p/i\nHLl7VKb8IjBMhSNYLQoNRdaCcrdk+9b2xkLpk7Y6G4s7BW5QO9KtR2Xdeu8u3Z5lPZ7isSNNpnep\ne/xoI1UOK69cGieZSpk6lnJTEcFajsp8p6lwhIDXZdr61n61yOlb2xqeTq9Xdxb5erVho8hsRIL1\nXr2thQB4tDdo8kjSBb2PH21iYWWdvsGw2cMpK1ltsFVV1QL8EXACiAGf0jRtYNPrnwT+RyABXAV+\nXdM00xajAsb2LUmDA7AcWWd1LcHhNq/ZQ8may2mjweOU7Vv3YVSCl8rMuiVQQ02VjVujUmS2F2vr\nCa7emaOxvnoj22S2p0408/LFcX5weZITh/xmD6dsZDutegFwaJr2BPDbwGeNF1RVdQH/GXhW07Sn\ngDrgw/sd6H7Ue6pQFNlrbTDajJZaT/CtWvxuFlfWWYnGzR5K0RmeWsZmVTYayBQ7S2bdem4pJj+n\ne3BRm2E9nuJUT8D0FLihq6mWtoCbS7dnWYqsmz2cspFtsH4SeBFA07RzwOlNr60Bj2uaZkxjbYCp\nP302q4X6Wqfstc6YzLQZLdVtW4ZWKTK7p0QyxVhohdaAu6SWOWTdeu/OXp0E4JQaMHkkdymKwtMn\nmkmmdN7QtHc1AAAgAElEQVS8Jh3NciXbPpMeYGnT35Oqqlo0TUtl0t0hAFVV/y1Qo2nad3e6YCCQ\n33Rdc8BN3505vL5q7LbibL1YKMtrSQDUg/6cfd/z/fzu5YGDDbz41ghLawlT7l+s7owvkkjqPNBV\nv6vvS7F87x473sKXXupndDZSNGMqZvFEih/2TRHwuXjkeEvRzKwBPvTMIb78ym3OXp/mZz54pKjG\nVqqyDdZLwOafJoumaRulf5k17f8H6AZ+ajcXDIWWsxzK7nirHeg63ByYLfkZ5X4NjqVnLi5Lbr7v\ngUBt3p/fvdQ602+6tMEwpw/L2pjh4o30bKaxrmrH52LWs7sXt0OhymHlcn+oaMZUzK7emWN1LcET\nx5qZLcJCy4e6/ZzXQrx1ZYKDRdzy1ix7fUOabY7sdeCDAKqqngGubHn9TwAn8NFN6XBTSY/wu6bC\nEaocVjwFbPafDy0NUhF+L6VWCW6wWix0t9UxHY7I2ci7YFSBF1MKfLOnH0yf/PXaFdlznQvZBuuv\nAGuqqr5OurjsM6qqflJV1V9WVfUk8K+BY8D3VFV9WVXVF3I03qxtnL5V4cE6ldKZno/SVF9d8qkp\np8NKwFslFeFbDE8tY7UotJVIcdlmxhau/rFFk0dS3FIpnYv9IbxuJ92tdWYP556OdtXjq3Vy7sY0\nsXjS7OGUvKzS4Jl16U9v+fCtTX8uukXhu8G6KCb6pplbWiORTJXNUkCr/27Vqae6tDMFuZBMpRid\nWaHVX1OStRk9mw71OP2A+fuGi9WdySWWI3He/1gnFktxvum2WBSeONbEP78xzOXbszza22j2kEpa\n6ZSK7lMg06krtFjZM+vpEu8JvtVG21HpZAbA5GyEeCJFR4mlwA1dTR5sVouc3LSDy7dnAXj0SHEH\nQKNX+VmpCt+3ignWnhoHDpul4tPgkyV+2tZWcrb1jzLWq4v9pK37sdssHGrxMDazQmRN9s/fz+Xb\nc9isFh48XJzr1YZWfw2djbVcuxOWPdf7VDHBWlEU/F5XxafBp8stWAckWG82VGKdy+6lp92Ljqxb\n3094aY2x0AoPdHqpcma7oadwHj/WRErXeev6tNlDKWkVE6whnQqPxhKsVvA79rtp8NLuXmZobqhG\nUWAiJBXhkJ5ZWxSF9qDb7KFkrSdzvrWkwu/t8sAcAA+WSCvPx3qDKAq80SfBej8qK1hLRThT4Qhe\nt4MqR/G/I98Nu81K0OtifHa14s9CTqV0RqaXafZX47CXXnGZ4VCLB4uiSLC+D2O9+sFDDSaPZHfq\n3E6OdtUzOLnEVGayIPauooK1PxOsZys0Fb4eTzK3FCubFLihNeBmdS3B4mplr4lNhSOsx1N0lXAK\nHNInN3U21TI0tUxsXbb8bBaLJ7kxPE+rv2bj91kpePxYutDsDSk0y1pFBetAhZ9rPT2f/v8uu2At\nZ1sDd0/aKtVK8M3Udi/JlM6dCVm33uzm8DzxRIoT3aUxqzY8fDiA027ljb6pis+AZavCgnVlp8HL\nbduWYaPIrMLXrUu9EnyzzfutxV2ltl5tcDqsPNwTYHZxjdvj8gYsGxUVrP0be60rMw0+VWaV4AbZ\nvpU2NLWMAiVdXGbobkt35ZJ167t0Xefy7Vlqqmwcai29XtuPH0vvCZdCs+xUVLCuctjwVNsrdmZd\nrsG6sb4aq0Wp6GCd0tPFZU0N1WVRPOh22WkL1DAwsUQimdr5CyrAeGiV+eUYxw42YLWU3q/u3k4f\ndTUOfnhjWp5pFkrvie+T3+tibnGNVKry1k2mwxGsFmXjUJNyYbNaaGqoruiK8Jn5KGvryZI7vGM7\nPe1e4onUxt7xSndtMAzAsQP1Jo8kO1aLhceONLK6luBKJp0vdq/ignXA6yKZ0plfrqxTfXRdZyoc\nIeB1leS78p20+muIrSeZW6rMJQ6juKzUK8E3M9atJRWe1jeYDnBHSzRYAzyeaT/6Rp9Uhe9V+f3W\n3kGlVoSvROOsriXKLgVuqPSKcCNYl9vMGiRYQ3rLlja6SFvAjdftNHs4WetodNPir+Hy7TlpJ7tH\nFRes/XWZivAKO9CjXNerDa2BdFFVpa5bG5XgHWU0s/a6nQR9LvrHFipy2Wqz/tEFEskUxw6W7qwa\n0m2fHz/aSCKZ4nzmPG6xOxUXrCv1qMypMmszulUlz6x1XWd4aplGnwtXCfSK3ouedi/RWJKxCt+W\nZ6xXl3IK3PBY5qSwNyUVvieVF6wz27dmKywNPh0uz4YohoDXhd1mYXy28n6phxbXiMQSZZUCN6iy\n3xqAvsEwDpuFnsyWtlLmr3PR01aHNrJAuEJrTLJRccHa53FitSiSBi8zFotCS0MNk3ORikuZjpTh\nerXhsKxbM78cY3x2lZ4OL3Zb6fZ83+zMsSZ04JycxLVrFResrRYLDZ6qikuDT4cjuJxWPDUOs4eS\nN62BGuKJVMUVDw6VYSW4IVBXha/Wya3RhYrdlnctUwV+7EBptRjdzmk1iNWiSFX4HlRcsAbwe6tY\nWl2vmEMCUimd6fkojb5qFEUxezh5Y6xbj1XYuvVGcVkZzqwVRaGn3ctyJF6xJzb1ldF6tcHtsnPi\nUANjoVVGZypv6SobFRmsjSKz2QpJhc8trZFIpmhqKM8UuGGjR3gFrVsbxWUBbxU1VXazh5MXlbyF\nK5XSuT40j6/WSUuZ/fwae66l0Gx3KjpYV0oqfGO92ldeP+xbtfoz27cqaGYdXoqxEo3TWYYpcEMl\nB+vh6WVWonGOHqgvu6zYg90NuJw23rw+TapClzj2oiKD9d0DPSpjZj1VpqdtbVXvcVLlsDJRQXut\nh8q4uMzQ0lCN22WvyGBd6i1Gt2O3WTmtBphfjnFrpPKe7V5VZLCutKMyp8u8EtygKAqt/hqmwpGK\nOSjAWK8u52CtKAqH2+qYW4pVzNKVoW8wjAIc6Sq/YA3SfnQvKjpYz1ZYGrxcG6Js1hqoIZnSK6YY\naaPNaBmnweHufuv+0co5CzkaSzAwvkhXcy1uV5nWI3R48dU6Oa+FiCcqo+A3WxUZrGuqbLic1opJ\ng0+HI/hqnWVxdOJOWjLr1pWQCk8Xly3R4HFSW12+W/Ig/UsdKqs5ys2ReZIpnaNltGVrK4uicOZI\nI9FYgsu35SSu7VRksFYUhUCdi9BCtOz3bsbiSeaWYjT6yn9WDXcrwith+9bCyjpLkTidTR6zh5J3\n7UE3Toe1otaty3m9ejNJhe9OVlMtVVUtwB8BJ4AY8ClN0wY2vf4R4D8CCeAvNE378xyMNaf8Xhcj\nMyssReLUlXGjkJn5TJvRhhqTR1IYbRs9wst/+9bdFLjb5JHkn9Vi4XBrHdcGwyytrpd1cx9D32CY\nKoeVgy3l/WasLeimLVDD1TtzrETjZZvy369sZ9YvAA5N054Afhv4rPGCqqp24PeB54B3Ab+iqmpw\nvwPNNeOozHLvEX5321ZlzKw9NQ7cLntFpMGHppYAKmJmDZW1hWtmIcrMfJTeTh82a/knQB8/2kQi\nqXNemzF7KEUr238FTwIvAmiadg44vem1XuC2pmmLmqbFgdeAZ/Y1yjzYOCqzUoJ1mTVUuB9FUWjx\n1zAzH2U9Xt4FKyPT6exBOVeCb1ZJwbqvQlLghseONKIAb16TVPj9ZFtx5AGWNv09qaqqRdO0VOa1\nzSWby8COR8UEAoX9hdPdmf4hiCRSBb93IS1G0ge893YHCPjzly4tpu9hd7uXW6MLRFPQWkTjyrWR\nmRUa6qro7tpfAVIxPbvteH3V2P/2Encml0tmzNnqH0//Cn36VAcB//ZLWOXwvQgEajl2yM/VgVl0\nq5VgmW8zvXRrZs/PLdtgvQRsvpMRqCEdqDe/VgvM73TBUGg5y6Fkx6GkC8uGxhcLfu9CGppYxGpR\nsCSTefv/DARqi+p72OBOr2f29c9Q5yyPU4q2WlyJEV5a46Fu/76+98X27HZyoNlD/+gCw6PzVFeV\n5+6GRDLF5f4QAW8VNj217fMptee3nVM96WD9jdcG+NDjXWYPJ6/+6ut9/OFv7m11ONs0+OvABwFU\nVT0DXNn02k3gsKqqPlVVHaRT4G9keZ+88VfAuda6rjM1FyHoc2G1lP+6l6Flo8isfNetK6EZyr30\ntHvRgdvj5ZsKH5xcIhpLltUpW7txWg1gs1p4o2+6rHfpDEwsMjC+tPMnbpHtb/CvAGuqqr5Ourjs\nM6qqflJV1V/OrFP/JvAt4CzwOU3TJrO8T97YbVZ8tc6y7g++HIkTiSXKvnPZVq2BTI/wMi4yq5Rm\nKFsZzVHKeb91OZ6ytRvVVXYe6m5gYra8T+L67vmxrL4uqzySpmk68OktH7616fWvA1/PakQFFKir\non98kUQyVZYVl1MV0mZ0K7fLTp3bUdYz60roCX4vh1o9WBSlrIvM+gbDWBSF3k6f2UMpuDNHmziv\nhXijb4qOMnwjOr8c4/zNmY3jfPei/CLUHvi9LnQ9fYRkOaqUAzzupdVfw9zSGtFYwuyh5MXI9DKe\nGgded/nvN96symGjs8nN0OQysTKs9l9di3NncolDrR5czvJck9/O8YMN1FTZOHd9mlSq/FLh37sw\nRjKl89wj7Xv+2ooO1uXeI7xSZ9Zw97jMctxvvRxZZ24pRldTbdkdm7gbPe1ekimdOxN7X/crdjeG\n5tH1ykuBG+w2C488EGRhZZ0bIzvWJZeUWDzJ9y9N4HbZOXOkcc9fX9HBeuOozDItMpuaq6w91psZ\nbUfLcd3aKC4rxzThbpTzfutrFbpevdnjx9LtR1+/UnSlTvvyZt8UK9E4z55swWHf+y6Vig7Wxsx6\nplyDdThCTZWN2gps33e3R3j5FaoYxWVdFbZebTjcVp7BWtd1+gbD1FTZOFAhXenupbu1jqb6as5r\nIVbX4mYPJyd0Xec758ewWhTefbItq2tUdLA2DrcIzZdfsE4kU4QWojTVV1dkqrSloXy3b1VqJbjB\n7bLTGqhhIFMcWi6m56PMLa3R21WPxVJ5P7MGRVF4+kQziWSKN/umzR5OTlwfmmdidpVHeoP4ap1Z\nXaOig7WnxoHTbmW6DIP17OIayZRekevVAC6njaDXxejMStnt2RyeXsbtslPvye6Hvhz0tHtZT6Q2\n3riUg2t30kdEVkqL0e08cawJq0XhB5cnzB5KTnzn/CgAz53ee2GZoaKDtaIoBH0uZhYiZfcL3Viv\nrsRKcENb0M1KNM7CyrrZQ8mZ1bU4oYU1Oiu0uMygluG6tbG/+khX5W3Z2qrO7eTEoQZGZlZK/g3Z\nxOwqVwbm6G6t40Bz9ssbFR2sAYI+F+vxFIur5fMLHSq7EtzQHkxXhJdTg4WRCl+vNhjr1uXSHCWR\nTHFzZIGm+uqNQ4Yq3dMPtgDwaonPro1Z9fOPZj+rBgnWBDPr1jNllgqvtNO27sUI1uVUZDY0Xdnr\n1QZfrZOg10X/2GJZ7McdGF8kFk9KCnyT4wfrqXM7ePP6dMmeoLcUWefstSmCXhcnDwf2da2KD9aN\nvnQwm56PmDyS3JoKR1C4W0RXidrKcGY9XKGdy+6lp91LNJYoizdjsmXrnawWC08dbyYaS/C2FjJ7\nOFl5+cI48USK5x5p33fRYMUH66C3fGfWDXVV2G3leerUbvjrqqhyWMsqWA9NLVPttG30CKhk5bTf\n+tpgGKtFQe3wmj2UovLUiWagNFPh6/Ek37swRrXTxpPHm/Z9PQnWZZgGj6wlWFpdr+gUOIBFUWgL\nupmaixBPlGYabbPIWpyZ+ShdzZVdXGboyQS2myOlHayXIuuMTC1zuK2OKkfltRjdTqOvmgc6vGij\nCyXXjfDN69MsR+I8e7I1J8+14oO1t9aJ3WYpq2C9sV7tq+xgDdAecJPSdSZmS3+ZQ1LgPyrodeGv\nq+LG8DzJVOnut74xNI+OpMDv5z0Pp5uIfO9CdqdVmSGl63zrrRGsFoX3nsquCcpWFR+sLYpC0Fte\n27empbhsg1FkNjJT2ts/4G5xWSV3t9rq6IF6orEEQ5Ol+3yNLVuVdn71bp3s8eOrdfL6tamSOZjn\n2p05JuciPHakMesmKFtVfLCGdCo8GkuyHC2P1naTsm1rQzlt3zICksys7zralZ6N9g2FTR5JdnRd\n59rgHG6XnfZGt9nDKUpWi4VnT7YSW09y9tqU2cPZlW+9ld6u9f4sTte6HwnWlN+6teyxvqs1UIMC\njJVBsB6eWqamSorLNnug04cCXB8szWA9OrPCwso6xw82YJE6hPt614Mt2KwKL709VvQZ0IGJRW4M\nz3O0y5fTw3YkWAPBzNruTJls35qai+C0W3OWfillVQ4bAV/ptx1dXYszsxClq9kjxWWbuF12uppr\nGZhYKpkU6WaXB9ItRk8ckhT4djw1Dh55IMhUOML1oeI+OvOfzw4D8KHHu3J6XQnWlNfMOqXrzMxH\naKx3yS/1jPagm9W1BPPLMbOHkrVKP2lrO0e66kmm9JLsZnZ1YA5FkeKy3XjvqXRK+aW3i7fQbGxm\nhUu3ZznU6sn5NjwJ1kBjGe21Di+tsZ5ISQp8k/ZA6XcyG5JgfV/GunWppcJXonEGJhbpbq3DXYHH\n2O7VwRYPB5pruXx7tmibWP3zm+lZ9Ycf78r5ZEmCNVDvqcJqUcri9C1Zr36ncigyG5pcAqS47F4O\ntdbhsFtKrsjs2uAcui4p8L14/yMd6MC3zo2YPZR3mJ6P8NaNadqD7rw8UwnWgMWiEPC6ymLNejqc\nfsMhwfqusgjWU+ljMRs8Uly2ld1mQW33MTkXIby0ZvZwdu1KZr36+EEJ1rt1+oEAAW8Vr12dYnGl\nuJa1vvnmMLoOH3q8My9LkBKsM4I+F6trCVZKfPuWcTSm7LG+q6GuCpezdNuOrkTjzC6u0VXhx2Ju\n52jmWMliLz4ypFI61+6E8dU6N95Mip1ZLRY+8FgniWSK75wvnrXr2YUor1+dotHn4rQazMs9JFhn\nGEVmoYXSToVPhdMt+Rqle9kGRVFoC7iZCkdK8vSejeKyZkmB38+RA6W133pwcomVaJzjBxvkDdge\nPXmsCU+1nZcvjhFZK44dAF99fZBkSufHnzqw7wM77keCdUbjxvat0g7Wk+EIXrcDl1N6DG/WHnSj\n6zBeYv2FAYamMuvVjdK57H5a/TX4ap1cuzNXEkdmXpEtW1lz2K0890g70ViSVy6Nmz0cJudWOXtt\nilZ/DY/1NubtPhKsM+5u3yrddetoLEF4KUaLv8bsoRQdozmBMUstJUYl+AGZWd+Xoig8eKiB1bUE\nAxOLZg9nR1cG5rBaFHo7fWYPpSS9+2QrLqeVF8+NmL6//is/GETX4aPPHMzbrBokWG8oh73WRiV4\nc4ME662MLU/D0yUYrCeXqa22S5ObHZw45Afg8u05k0eyvfDSGsPTy6gdXsmAZam6ys7zj3SwEo3z\n3fOjpo1jeGqZ8zdnONBcy8nD/rzea8//UlRVdQFfBALAMvALmqbNbvmczwAfz/z1G5qm/e/7HWi+\nNXiqsCgK0yW8Zm0cIdcixWXv0OKvwWZVNmappWI5ss7c0pqsbe5Cb5cPu83ClYFZPvbsIbOHc18X\n+9O/Lk8eDpg8ktL23CPtfPftMV58a4R3P9xW8L3quq7zd6/cBuAnnzmU95/PbGbWnwYua5r2DPAF\n4D9sflFV1YPAzwCPa5p2Bni/qqrH9z3SPLNZLfjrqkp6Zj05JzPr+7FZLbQF3IyHVkgkS+c4RTkW\nc/ecdisPdPgYC60yt1i8W7gu9ocA8j4TK3cup40PPd5JNJbkm+eGC37/y7fn6BtK9wA/0pX/5Yxs\ngvWTwIuZP78IvG/L6yPA85qmGVUedqAkImDQ52Jpdd30NZBsTc6lZ9bNsmZ9T11NtSSSOuOh0iky\nuzORLi472CzFZbvxYHe6YOvKwOwOn2mOyFocbWSBrqZa6mXP/L69+2Qrvlon3z0/xuxi4cJMIpni\nS9/rx6IofOJ9PQXJem2bBldV9ZeA39jy4WlgKfPnZaBu84uapiWAsKqqCvB7wAVN027vNJBAwPyZ\nQ1drHdcGw8R06CiC8ezVzEKU2mo7hzrrC54yLYbnt5Oj3QFeuTTB3Gqc0yUwXoCxTLbkkeMtePO0\nZl0Kz2633v1IJ1/89i1ujC7y08/3mj2cd3jlwhjJlM5TJ1tz9n0vp+eXjX/14aP8wd9c4B9fH+J/\n+YVHC3LPf3j5NjPzUT781AEe6m0qyD23Ddaapn0O+Nzmj6mq+veA8a+jFnhH93xVVauAvwAWgV/f\nzUBCIfPXEusyax43BmbxVpVW4Uc8kWJidpVDrXXMzha2+UcgUFsUz28nDe708+27HeLhQ8V/cIKu\n69wcCuOvqyK+tk5obT3n9yiVZ7dbCuljUS/3hxibWMBpt5o9pB/x/bfTxVBqiycn3/dye37ZONZR\nR3dbHWevTPLKW8N5PxRldjHKX3/7JjVVNt5/qi3r7/9e32RlkwZ/Hfhg5s8/Bry6+cXMjPqrwCVN\n0z69KR1e9IyuX0YXsFIyPR9B16W4bDutfjdWS+kUmYUWoqxE4xxskRT4Xpw41EA8keJGkXUziyeS\nXL0zR9Dnku2VOaQoCj/7XA+KAn/93Vt5rUnRdZ3Pv6gRW0/yifceLmhRWzbB+o+Bo6qq/gD4FPA7\nkK4AV1X1I8BPAM8AH1BV9eXMf2dyNuI8as700za2QJUSKS7bmd1moTVQw+hMaRSZyXp1dk52p6us\nL9wKmTySH3VjeJ7YepKHDweksj/HOhprefZkK5NzEf7p9aG83ee1q5P0DYY5drCeJ44VJv1t2HOu\nV9O0KPDT9/j4H2z6q2s/gzKLt9aJw24pzWCd2bYlwXp7XU21jEyvMDkXKfqezBvBuqVuh88Umx1s\n9eB1O7jYHyKRVLFZi6OdxNtapgq8R6rA8+Fj7zrEldtzfOONYR7q9uc8IzW7GOVLL92mymHlF55/\noOBvuIrjX3GRsCgKTb5qpsMRUnrJZO8BmJiTPda70ZnpZGa08CxmdyaXsFoUOhqL+01FsbEoCg/3\nBFhdS6CNvqOkxhSJZIoLt0J43Q4Otcqbr3xwOW386w/1ktJ1/vzr13O6qyeRTPHH/9hHNJbgE+89\nTENd4Sv5JVhv0dRQzXoixfxScR2/tpPJuQgOu4V6E/4RlZLOpvS77WJvOxpPpBiZXqYt6MZRZEVS\npeBU5uQjYzZrtutDYVbXEjzyQCMWSYHnTW+nj+cfbWcqHOEvvnEDPUeTrr/93m0GJ5d4/GgTT59o\nzsk190qC9RZNJbhunUrpTM5FaK6vkV8EO2gPpr9HxR6s0+vquhSXZamnvQ63y86FW6GiONjjrRsz\nADzam5/jE8VdP/WuQ6jtXt7WQnz9jf03S/nO+VFeenuMFn8NP/+8alq9gQTrLUoxWM8uRkkkUzT7\nJQW+E7vNSmughpEiLzK7kzmMQorLsmO1WHi4x8/S6jq3x8092COeSHLhVogGT5W8+SoAm9XCr71w\njHqPk6+8eoeXL2Z/MtdbN6b50nf7qatx8BsfO4HTYV6WS4L1FqW4fWtCKsH35FCLh3gixViosPvR\n9+LOpFFcJr/cs2Wkwn94c8bUcVy9E2ZtPcmjvUGpAi+QuhoHv/Xxh/BU2/nitzRevjC252u8enmC\nP/mnPhwOK7/xLx7E7zW3blqC9RbGudZT4dJpSTkpxWV7YlRXD4wXb5HZnYklqp02GuvlmWart9OH\n22XnrRvTpmZR3roxDcCjeTzrWLxTc0MNv/WJk9S47Px/377Ff/vO7vZgJ5Ip/u6VAf7qmzepqbLz\n7z5xsih680uw3sLltOF1O0oqDT45mx6rNFrYHWO2amyNKjZLkXVm5qMcbPFIDcI+2KwWHuttZDkS\n57pJDVIiawku9s/SWF8tVf0maA+6+Y+/cJrWQA0vvT3G7/zlD+kbDN+z8EzXdW4Oz/O7XzjPN94c\nJuh18dv/8uGiyW6VVk/NAmmqr+bmyAKxeLLo2hXey+TcKlaLQsDkNE2paGqoxuW0bawLF5vbY+lx\nHW6TLT77deZYIy9dGOONvilOHGoo+P3fujlNPJHiqeNNkgI3ScDr4t//7Cm+/MoAr1wc57N/e4lW\nfw0nDjVsZK6m5yNcHZhjLHPIz5PHmviZ53qK6rzx4hlJEWlqqOHmyALT4QgdjeanP7aj6zoTc6sE\nfa6iaf5Q7CyKwsHmWvqG5lmJxgt+Du5OjGDd3eY1eSSl72Czh0afi4u3QkRjiYL/8n39yiSKAk8c\nM2e7j0hzOW38/PMqzzzYzDfeHOFS/yzfPDfyI59jtSicUgN84LEODhVhIyIJ1vewue1osQfr8FKM\naCzJsQOSYtuLgy119A3Nc2diyZQZ13b6xxawWhSpBM8BRVF4/GgT//jaIBduhXjyeOGC5sTsKgMT\nSxw7WI8vTyemib3pavLw6y8cI7ae5M7EIrNLa1gUBV+tkwPNnqKaSW8lU7F72KgIL4F16/HMCVut\nAVmv3ou769bFlQqPxZMMTS3T0Vhr6jaRcnIm08P57LWpgt739auTADxVwDcIYnecDiu9XfU8faKF\nJ483c6SrvqgDNUiwvqdS2mttrLG0BWRmvRfFWmQ2NLlEMqXLenUOBb0uetq93BieZ3q+MD/TiWSK\ns31TVDttnDwsvcDF/kmwvocGTxV2m2WjyrqYjYdkZp2N2moHQa+LOxNLRdUHvl+Ky/Li2ZMtAHz/\n4kRB7nexf5bFlXUeP9qE3SYZErF/EqzvwWJRaG6oZnJutah+kd/LWGgVh80ileBZONjqIRJLMF1E\nGZR+KS7Li1M9QdwuO69dnSSeSOb9fi+9nW7C8Z5TrXm/l6gMEqzvo9Vfw3oixexC1Oyh3FcylWJy\nbpUWv/QEz4ZR8VksqfCUrnN7fJFGn4u6GofZwykrdpuFp080sxKNc/5mfg/3GJ1Z4dboAke7fNJV\nUOSMBOv7MBqMjM8Wbyez6XCURFKX9eosGevWZveONkyEVonGEnRLCjwv3vVQCwrw7fOjOTuN6V5e\neguRFZsAABTKSURBVHsUgPeeas/bPUTlkWB9H0awnijiYG28kZD16ux0NLpx2q3cKpIzj/vH0uM4\nLCnwvAj6qnlYDTA8tczNkfw884WVGGevTRPwVhXdlkBR2iRY30drCcysx2bSxWUys86O1WKhu62O\nybkIS6vrZg+HW1JclncfeKwDgG+e2//RiffyrbdGSCRT/NiZTiwWWZoSuSPB+j78XhcOm4WJUPEG\na+ONRJvMrLPWkwmMxqzWLEZf4roax8bWQZF7h1rqUNu9XLsTZmQ6t2ear0TjvHJxAl+tkyelY5nI\nMQnW92FRFJobapgMR4ri8Pp7GQut4HbZ8UgxUtZ62tMpZ83kVPjkXITF1XV6O33SQzrPPvh4JwD/\n+IPBnF732z8cIRZP8vyjHdht8qtV5Jb8i9pGi7+GeCJFqAgrwmPxJKH5KG2BGvnlvg8HWzzYrIrp\n69Y3htOnQj3Q6TN1HJXg2IF6etrquHR7NmcZlfnlGN9+a5Q6t4N3PdiSk2sKsZkE620YhVvFuG49\nMbuKDrT6Zb16P+w2KwebPYzOrBBZS5g2jpuZYN0rwTrvFEXhY892A/B3rwzkpDL8H14dYD2R4ief\nPihtYkVeSLDeRjFv3xrPrKW3BmW9er96OrzounlbuFK6zs2Refx1VdLcpkC62+p4qNtP/9gi565P\n7+taw1PLnL06RVvAXdCDQkRlkWC9jdYi3r41lmkz2iYz630z1q3NSoWPTq+wupaQFHiBfeJ9h3HY\nLfz1d/tZjmS3GyCRTPGX37yBDnzivd1SAS7yRoL1NhrqqnDYLRuz2GIyOrOCguyxzoVDLXVYFAVt\nZN6U+xvr1b0dEqwLKeh18dGnD7ISjfM33+3P6hrfeHOYkekVnjqRPrlJiHyRYL0Ni6LQ0lDDVHiV\nZCpl9nA26LrOyPQyQZ+r6I91KwUup42DrR7uTC4RWYsX/P43R6S4zCzvO93GgWYPb16f5tXLezvk\n48ZQmK++Noiv1skn3tOdpxEKkbbnYK2qqktV1b9XVfVVVVX/WVXVe57/pqqqRVXVb6qq+qv7H6Z5\nWv01JJI6M/PFUxE+t7TG6lqC9sZas4dSNo511aPrd2e5hRJPpNBGFmhuqMZX6yzovUW6Mc6nf+Io\nNVU2vvhtbdfZlcm5Vf74q31YFIVff+EY1VX2PI9UVLpsZtafBi5rmvYM8AXgP9zn834X8ALFuUl5\nl1oCxbduPTqdXq/ubJT16lw5eiCdwuwbDBf0vrfGFojFkxw7IK0pzeL3uvi1nziGrsMffvnKjgF7\ncm6V3/ubi6xE4/zc8yqHWqXjnMi/bIL1k8CLmT+/CLxv6yeoqvoxIJl5vaQrLoxWnqOZ1p7FYDjT\neak9KDPrXOlqrqXaaePaYDivhzxsdXVgDkD6SJvs6IF6fu0njhJPpPh/v3SJF8+l24Zupus6b/ZN\n8Z8/f56FlXU+/p5unpE91aJAtl3wVFX1l4Df2PLhacA4U3AZqNvyNceATwIfA/5TboZpno5g8QVr\nYywys84dq8VCb5ePt7UQMwtRGn2Fafl59c4cDrtloyJdmOeUGuS3PmHnv371Gv/95du8fHGM0w8E\nafRVM78c48KtEKMzKzhsFn7lx49w5kiT2UMWFWTbYK1p2ueAz23+mKqqfw8YU7paYOt+l58DWoHv\nAV3Auqqqg5qmfXu7ewUCxTlLDARq8bqdjM9FimaMY7OreGuddB+4Z7mAKYrle7MfZ4638LYWYjgU\n4VhPY97vNx2OMDkX4ZEjjbQ0m5dKLYdnlyuBQC3H1SB/+51bfPvcMN98c2TjNYtF4emHWvn5D/bS\nVETnVMvzqwzZlBK/DnwQ+CHwY8Crm1/UNO1/Nv6squp/AiZ3CtQAoVBum+rnUmughr7BMMOjYdML\nSVaicULzUY4drC+a71kgUFs0Y9mPDn96Nn3u6gSP9uT/jdD3L4wBoLbVmfb9K5dnl2s/9fQBPnym\ng/6xBRZX1qmpsnO4vY6aKjukUkXzPZPnV7r2+iYrm2D9x8DnVVX9ARADfgZAVdXPALc1TftaFtcs\nah1BN32DYUZnVlBN3gs7mlmv7pD16pwLeF00+lxcH54nnkjl/TCGy5n16uMHZb26GDntVin8E0Vj\nz8Fa07Qo8NP3+Pgf3ONjv5PluIpKe2ZteGTa/GA9nKkE75D16rx4sNvPt384ijYyz7E8BtFoLMH1\noTBtAbe0GBVC7EiaouyCMYsthiKzkZnMzFr2WOfFycPp9PeF/tm83ufKwByJpM4pNZDX+wghyoME\n611orHdht1k2AqWZhqeWcTqsBH0yG8uH7rY63C47F/tDpPK4hevCrRAAp3okWAshdibBehesFgtt\ngRomZlffsfeykKKxBFNzEboaa7HIGdZ5YbVYeKjbz+LKOoOTSzt/QRbiiSRXBuYI+lzS210IsSsS\nrHepPVhLIqkzORcxbQxDU8vowIEWj2ljqAQnM5XgF2/lJxXeNzhPLJ7k4Z4AirzpEkLsggTrXerY\nKDIzLxU+lJnpHWyWYJ1PR7vqcdgtnL85k5duZm9enwLgtBrM+bWFEOVJgvUuFUOR2Z1MsD4gwTqv\nHHYrD/cEmFmIcmcit6nwyFqCi/2zNNZXc6BZigSFELsjwXqX2oNuFOXu7NYMg5NLeKrt1HvkdKZ8\ne/xoupXk2b6pnF73bW2GeCLFE0cbJQUuhNg1Cda75HRYafXXMDS9bMrZ1osrMcJLMQ40e+SXfAEc\n6fLhqXHwwxszOS0qfCMT/I03A0II8f+3d+excZz3Gce/e/C+ZJE0RZG6Rb22xFCSJVuHXamGFceW\nW8SIg6J10xqOgyBu0TpB2wBJDRcoiqAH4rZBWwNtlDquBcd1nRhVWkt2YthiJEeVI0qiKOslJVEH\nqRXv+z62f+xSYhiZ5Cx3ObPi8/mHw5ndmR8wHD478777vrOhsHZgVXEuwyPjXGud/05m9aFIW7k6\nl82PgN/PtruL6B0Y4czF+Eyb2do5wLkrnawrzaNAA6GIiAMKawcmgjJRX+mZzkV1Lpt3O8sjd78f\nnGyMy/7eP3kNgAcqNK2iiDijsHZgIijj3eloNibaylcqrOfNiiU5rF6ay+kLbTR3zO1pysjoGIdP\nXSMrPch9d6sXuIg4o7B2YGlBFqlB/7zfWYfDYepD3dy5KIPsDHdn/Vpo9mwpJQy8d2Jud9f/93Ez\nvQMj7Nq4lNSUQHyKE5EFQ2HtQDDgZ/mSHBpb+hgaHpu3415v76dvcJTVaq+ed1vvupO8rFQqT4cY\nHB6NaR/j4TAHj13B7/Px4OaSOFcoIguBwtqh1cW5jIfDXJ7HwVHqGroAKFu2aN6OKRHBgJ9f31zC\nwNAo71ddi2kfVbWtNLb2sX1DkTqWiUhMFNYOTQxIMp+PwuuudgJQVpo3b8eUmx7aUkpGWoD//fll\nx3fX4+EwB47U4wMe27EiMQWKyG1PYe2QGz3C6xq6yEwLsrRAkz64ITsjhYfvXU7vwAjvHr/q6L1H\nqkNcae5l+4YiivN1/kQkNgprhwrz0snOSOFC4/yEdVfvEM2dA6wtzdNMWy56+N5l5Gam8D8fXqal\nc2BW7+kfHOWHH1wkNejnid1rElyhiNzOFNYO+Xw+ykrzaOsepK1rMOHHu9FerUfgrspIC/LbD5Ux\nPDrOK4fsrOa63v+upatvmL07VrA4N30eqhSR25XCOgbroh29ahs6E36sm2GtzmVu27a+iPLVi6mp\nb+fHRy9N+9oj1SE+rGliVXEue7errVpE5kZhHYOJsJ7o+JVItQ2dBPw+Vi7RDE1u8/l8fOk31pOf\nm8ZblfUcPnXr3uEnz7fy8tvnyEgL8uXfXE8woMtMROZG/0VisLwom7SUADbBYd07MMKV6z2sKcnT\nQBoekZuZyh89UUF2Rgovv32OH/y0jr7BEQAGh0f575/V809vVhPw+3ju8xUULc50uWIRuR0E3S4g\nGQX8ftaW5FJzqYPu/mFyM1MTcpxzlzsIE5kBSrxjeVEO3/jCPfzjG6d55/hV3jvRwOLcdDp6hhgZ\nHScvO5U/eLxcTRciEjcK6xitW7aImksd1F3tYospTMgxPr7cAcD6FYsTsn+JXXF+Fn/5zH28d6KR\n4+eaaOsapHhxJvesK2TP1mVkpuvSEpH40X+UGE20W9urHQkL67OXO0hLDbCyWO3VXpSaEuCRbct5\nZNtyt0sRkduc2qxjtHppLqlBPx9f6kjI/tu7B2lq78csW6QOSiIiC5xSIEYpwQDrli+isbWP9u74\nf9/6bPRDwPqVegQuIrLQOX4MbozJAF4FCoEe4ClrbeuU1zwKvBD99bi19o/nWqgXla/K58zFdmou\ntfNrFUvjuu8z9W0ArF+hzmUiIgtdLHfWzwKnrLW7gFeA5ydvNMbkAH8LPGat3QE0GpOgRl2XbVgV\nueutqW+P635Hx8apvthOfm4aJYUaT1pEZKGLJazvBw5Glw8Ce6Zs3wlUAy8aYw4DIWttS+wletfS\n/EzuyEmjpr6d8fGZh5+crbqGLgaGRtm0thCfxgMXEVnwpn0Mbox5BvjqlNVNwMQsFj3A1EGrC4AH\ngY1AH1BpjPnQWls393K9xefzUb5qMZWnQ1xu6rkxfeZcnayLtCpsLMuPy/5ERCS5TRvW1tp9wL7J\n64wxbwIT3yXKAaYO49VKpJ26Ofr6w8AmYNqwLixMzq8n3b+plMrTIWobu7mvomTO+wuHw5ypbycj\nLcAD9ywjJZgcI5cl6/kTnbtkp/O3MMTyPesjwF7gOPAocHjK9iqg3BiTD3QB24F/nWmnLS09MZTi\nvuUFGaQE/RyuauAzW0vnvL9rrX2E2vrYagrp7OiPQ4WJV1iYk7Tnb6HTuUtuOn/Jy+mHrFjC+iXg\n+8aYSmAIeBLAGPM14Ly19oAx5hvAoejrX7fWno3hOEkhPTXIp1bnc6K2hcbWPkoK5tYh7KPIAwk2\nlRXEozwREbkNOA5ra+0A8Fu3WP/3k5ZfB16fW2nJY4sp5ERtC7+wzZQUrIp5P+FwmGNnm0gJ+tlc\ndlt2oBcRkRhoUJQ42LimgGDAx0fn5tbp/WpzL6G2fjauyScjTSPBiohIhMI6DjLTg2xYuZiGll5C\nbX0x7+fnZ5sA2LZ+SbxKExGR24DCOk52lEcCtvJ0KKb3j46Nc7Q6RFZ6kIo1GmJURERuUljHyeay\nQrLSgxytDjE6Nu74/SdqW+juH+H+TxUnzde1RERkfiis4yQl6GdneTHd/SM3BjVx4v2qRgB2b4rv\nGOMiIpL8FNZxtCsatIeOXyEcnv3wo5ev93DuSid3LV9Ecb7GAhcRkV+msI6jkoIsNq0t4EJjN3UN\nXbN+34+PXgJg7/YVCapMRESSmcI6ziYC90A0gGfS0NzLL2pbWFWcc2MWLxERkckU1nG2tjSP9Svv\noKa+nZPnp2+7DofD7H+3FoDPPrBKM2yJiMgtKawT4Hf2rCPg9/HaT2oZGhn7xNd9WHMde7WTTWsL\nqFij4UVFROTWFNYJUFKQxZ6tpbR0DrL/ndpbdja73t7Pq+/Ukpri58k9ZS5UKSIiyUJhnSCf27Wa\nFUty+Fl1iDfev8D4+M3ADrX18e0fVDE4PMZTj9xFwaIMFysVERGv0wDUCZISDPDc5yv4m/0nOHjs\nCvZKB1vMnXR0D1FZfY3hkXGe2L2aHRs0tKiIiExPYZ1Ai7LT+PPf38p/HLJ8dK6Z+lBk3tm8rFS+\nuLeM++4ucrlCERFJBgrrBMvOSOHZx8tp7RrgalMvmelB1pTkEQyoBUJERGZHYT1PCvIyKMhT27SI\niDin2zsRERGPU1iLiIh4nMJaRETE4xTWIiIiHqewFhER8TiFtYiIiMcprEVERDxOYS0iIuJxCmsR\nERGPU1iLiIh4nOPhRo0xGcCrQCHQAzxlrW2d8ppngS8CYeBb1tq34lCriIjIghTLnfWzwClr7S7g\nFeD5yRuNMdnAnwE7gIeBf5hrkSIiIgtZLGF9P3AwunwQ2DNlezj6MxvIAcZiK01ERERghsfgxphn\ngK9OWd0EdEeXe4C8yRuttX3GmNeAs0AA+FZ8ShUREVmYpg1ra+0+YN/kdcaYN4ncMRP92Tll+04i\nj8BXAj7gkDHmqLX2+DSH8hUW5kyzWbxO5y956dwlN52/hSGWx+BHgL3R5UeBw1O2ZwED1tpha+0Q\nkTDPQ0RERGLiuDc48BLwfWNMJTAEPAlgjPkacN5ae8AY82ljzDEi7dWV1tqfxK1iERGRBcYXDodn\nfpWIiIi4RoOiiIiIeJzCWkRExOMU1iIiIh6nsBYREfG4WHqDx40xxg/8C1BBpGf5l6y1F9ysSWbP\nGHMC6Ir+etFa+4yb9cjMjDHbgL+21j5ojFkLvAyMA2eAP7TWqseph005f5uBA0BddPNL1tr/dK86\n+STGmBTge8AKIA34K+BjHFx/roY18DiQaq3dGf0j/HZ0nXicMSYdwFr7oNu1yOwYY74OfAHoja56\nEfimtfawMeYl4LOAJt3xqFucvy3Ai9baF92rSmbpd4EWa+3vGWPuAE4BVTi4/tx+DH5jnHFr7TFg\nq7vliAMbgUxjzCFjzE+jH7bE284DnyMysiDAPdbaiUGN3uZXx/kXb5l6/rYAjxljPjDGfDc6iZJ4\n0xvAC9FlPzCCw+vP7bDO5eY44wBj0Ufj4n19wN9Zaz8DfAXYr3PnbdbaHwKjk1b5Ji33opEGPe0W\n5+8Y8KfW2t3AReAvXClMZmSt7bPW9hpjcogE9/P8cv7OeP25/c+1m5vjjAP4rbXjbhUjjtQC+wGs\ntXVAG1DsakXi1ORr7VfG+RfP+5G1tiq6/Baw2c1iZHrGmGXAe8Ar1trXcHj9uR3WN8YZN8ZsB067\nW4448DSRPgYYY5YSeUoScrUicarKGLM7unyrcf7F2w4aY+6NLj8EfORmMfLJjDFFwDvA1621L0dX\nO7r+3O5g9iPg08aYI9Hfn3azGHFkH/DvxpiJP7Cn9VQkaUz0OP0T4N+MMalEprT9L/dKEgcmzt9X\ngH82xowQ+aD8ZfdKkhl8k8hj7heMMRNt188B35nt9aexwUVERDzO7cfgIiIiMgOFtYiIiMcprEVE\nRDxOYS0iIuJxCmsRERGPU1iLiIh4nMJaRETE4/4fa0Tt7a+ISrcAAAAASUVORK5CYII=\n", + "text": [ + "" + ] + } + ], + "prompt_number": 24 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/examples/koi63.npy b/examples/koi63.npy new file mode 100644 index 0000000000000000000000000000000000000000..3cb79f6fe7628341d9b9775855e1a03d286ef966 GIT binary patch literal 718304 zcmX8bX*8Dm+s5&W2167o3KfN-qC!z9DHIBYLWUg`WynyeaD`AP6lKUzD9Vr&8k7iy z3=Jw088U=2go>Wy{6G86XC3GFcfZ zRF z>KFO!)2Z$I;gR5#36NbU_T?veqb+=^9W*<(IR-L~ONPIbJL^(6*~5E2W|tv5a|KTq zY5wuyh66Am@W@5Td{SK4Mow?7S$h!vzIEn2WR*84Hj}Dd?W+&LeJ7*OLPmD8?njb; zV0?uG3I6ckP92i_^4B z^3LP~#trIb9NG<;JFcR)NJEaQKV<10@15@G3VRf8kRelAe~}GYk=s4cmzZx!AQdEj z{Uk$jZf^BNPqWw?L-zFY_K{_GA8$H_{>sw%GWmc@qKmwqTesmjy7xZ+i{v(Lg`To6^DMcF+xjE<_KLvDljsurp0i{Cm&aR@`-=3k zQ|P-i8%~i|dV_1o%Bb~APNR=*{CheRRK}FLevM%((EEe5q?WX-CN6XI#WTx{C-ZSWoqKOsh z(KJ2xfBSI3G(U9qgIFf{{XjM24n~qu223 z7in#OYx`L!CTpGm*?K9Y8OWmbm3q|OEwvbQgs zdrRJ2yJ1-9=M7g+y9BqezI#cPrK>X`yX5s(<}&=}ad|gn-iT@6A`_pF{vj>6|r<~$AA>GF9sWaJzBB?)k*m&kF* z_$_?-itH>oxiArm2CQ&{Y}Cx=7v#r#7w0G8-si6AL~2eBJ|mrOq|8Z%=_^eSK{m9H z>oFM~Svc!D3|Mz~KV)2+#PiABXI}H(fXif9E69rFtj;B~UD~Flz>x9Fdm*Ecpq)wH z-Z#diLhEnoyCK^XVsVSKTE+jDtbbdyGYx&Mm+K8Oa>3$Jvbp%p_M7OE2hJvtCcNtg zA+z^o*VbDw)i^eWEc~U{NA~$nY)Z$w3XSZ`pYWFxMk%NkNt{M3?cbc3fWj+4nc&9BI7)4~_#px?cv=|*;}8hSytzDb#X7yV9z zsT28ZK6f!0|G02YF1qf?!-q&U&IOOjv6R=d?xEk-VfT|edsgR@y`gQqdFZ|hQC8%X zdhOi*ZI7{O_tATVGxm}@3N13p3=4ja2YAOntT$MIU7ItpwGh5tmmNdi`e@S!8U1J> z&4*BBLFr}kdy!`sWG~t*ReJ;#IX_+`%Ws@-gN)u*wRMkSO=sVEazk)pGi1|bjn+JY zpE@`LNz)^FA0ZRVe_&-1oV+A*hU7JT`4+M(f1X_S6dpak;xxHWvAG5^wr?*kc?S1+ zY91$#{uz7)*%kRI3yUH59#c2+?`N(u$Rx!S&VLSfuRrWWu6ib3Ojg;vo>PK%8^zf} zNjjPbs}yZ+{MD{{TBMJ{C0rt(iOgP&50_L9@L zx@MAc9g-a7c&C2$&2Dm=^x0dGF?g}|FX^zoYi9*C>4~{P3a09fLbiR&#P*l)!^^A$ z$Q%i<86+j7gtTA5;aep!WVo(pA7rOYS*lqHvx7cdCKZ>S?}ChP>jt$dIQu}~Mbc$j zVjE;*pBk>KhBLQthLGFa?lnWk$IpJvYv`vY5=fRktM~}nkJcww*1#w8SDYbRuYG-BK-P7B%91*$R$y|R95dyrgv_0hf`#?a@Uo*DDLzlU46;FW z)$`xL8LqxgWcJXiV#xft^L5T!cu?>1A+q=N*2j<)4j!HL4*n;TzMo7eHP464ZymlF z@8Kjv1@%6`t2NIPAUh@4V~`AzmeFp6inkhKAmeLuu8-`USg+Xx zUD)rJAsefb&_#B>+o|>$8t>rE8@@DcyfY+KY@TKJP zK*)65X!=OjZMv|s1%{1nJOkO_lRw{*yG3p+YlS~v?>-HgD#PiuyxP`=~@S&i>oipgB3UvoO(FP>Y6AY&e~ z_c85jC!O;hpWC6?hn~g5M3E1l-t8hg&G)PI!!?a_!XdjLqO6USU2$UF0PZWxWkbkq zI*rZb+=S)2A0lf2J( z=Kg|f%^w|ttn4hO$E4GRg#x3vdo8QoPkKH-lTRMCRGcw}K1WV>`Z#u1$@pIK&c553 zdl zjWoA0EhEc5bBRtz{}^8AL{5`ETukmw6Q9e4Zm{?DA#(3e-^XN_^J)QZ^x)}j`^nvf zm-ER(Yqe+apl^9SYDJE*>A7U-Jd5eP=-E+x=H&jBMVXNK_Qi!`27F{GX+rKCuD?aL zg#`SC?13d~4f!B%(zhF=sd3CGWS)0#*W-r^&-_gwV<$2PA^RlTT6-qs&=HI!_mw>F zgN&`GhvqDJmQN;%d>P!(1=*%W=hOsXLEZXrvdQ3k8)RzRudNe=q0u`-$Z#Q!FOc1z zp1Vc}Dr~X~BrAW;{REktPUS0S!(CIo&X6_t<=#Oya&^vi3zmXsEsA|(T3a`KKtro;L`C3*Ct$fBjN+UcbmDam=N46Dt#L~L>it-c??-aIa2{SXnljr4l?`K73PyWD;;Mnha0TLt;t10 z)wz%z4D_A80v3s`Hiyjltgo4*#^%c$E1~G4ttMoG!{{x@+J3$DmmKjlH~3a;f4(N5Xj1_OMf9nYu~R?g1`O?4unkoi0UV@ z%&B*!GW<{M+8M|$$lCFa9G7Nf*Fx_%cTYoR{(=3q&G$v0VJeWaOmhURAU+Yc{_!Gy?XHPN^R`B{#j?pusJsGNY!V8vO4HeYfDa(U1c7%WT~2rlrFk% zSHp4g`-yXvWH8T$McdHDV!ykQiE;^L_-1p7gZBCx^ zpO!_M$metHMAt1kWJ2y%6ip{rl~n$P%+y`phK8{At9%N1*{x-i)a8uSGs3$>$&o>F ze{`C*G43^+_QaAFwLJYK*VadxyU@)Cjzp1VJ`1}cV?I=)wi`b1I}=X!tWazxt&-c< znc!XWs^}2%{wJL;kP+NDzQzY(y>a?wGoe zGbvP6QVf|ibI-Y!kay}*2QusUhsUJc^z#Dy@a~D%20M~tNnbu>_T5dGVFmAQG_)os zsyXhFnwIybTjSm79y@cgcAsz-WZq7%;IM%|E_<1fO5DrS$$591{z6ty>Vlyy)XCkL zLT=dfa}+X5Utibz56-aMok)J^o;C#8+~fJ$`=QS?hgfp`CDDG!yxvfyX$P-oc}J1j zY6{(u<;iYQvxlB$k>MmqhgLgeGR;QT9e^Cn%@EQvY|j_Seh}qVJP7T=9tD!&%1)mk z)Bb#+{2^$lTziJJ`+VjdWUn|X$~wTIruNgMh+}juWTpt|N;$%f0prI>J;B?RkX>A8 zx#%$5ynLoRxwhbG8Ds{nkBT0F_1_me|4*y8#gM($dv>l9RK2v$fs~xq{TMRuB4P!c zp^2)#9VvNxA|JAk*JaOef%>I3*5n66p?i?o^SNZYE39?!G$%LxlF5SXO}`HuN8yxN z=S@g|c0)R3ZZ7TnOZMJNFm!`Er43UcYhJ}MMrNts({qRQFYOW`Q|2l>L{7GrYkNRm zXRlbu^8A+Tr~UET#%@m-vE`@QG4lTPaL8I}?rtabbEl~shb?>ZLm+dx{m>V3i>s*O z3E1_gG7z%(EIJK&&n|Q)9Y<=)AnO!&M${Wd$tXHQ=5us=G5Jz0dae(ASFYng zPE#3w3|XcmL%+38-f7~7S+N6*@ZGvOu0p}9E066*CBN4Ld z{xU=4i@^r%vv7g;xmd_(F5b{jp1bp1GZ1&Fw4L4L3Ox?>Aly$s%nc{6Zn0}8gS+Rd z1jEOB%0oz=2LXvu@TJDuA@XebH|=PAUdb>fmTdX3y`K!Q{i}HeUAHDPip+7d?k3g# z2&i9$gF6_%IJo2S-FKw1^?uoSe9rUR9B;C4cUdi2*K}O!8v1=-*%M^z_fM7NXOGZD z3Fx;(G~CI@0Rv@Z3SY8lB0787*qL0lZt8PVD&_v%B=m2~4?2*(ujf4>tv9?9NJgJg za>|ZuR9IO+?y7H|aUH#LZ@4v?P^Nj0oIEr%{RX^m>eQTY&A#>bJLOmUZl+=ZjI`;nUkd^taq>=#_@97L7UyWb+0+|c!HpSa; z2iKoKa{7fkpCEgGj+Oi!xG!#&A1TXK{0=fPx7=hip{#3s zvFr)C)aj!@F5YPmowp;`UREoBjPt*~8Ta6^vx(NEv5e6@(k+6MD-ZANMe@u^qignA zkWpSD!g(JGrdODd9r7pB$-8;WCm?%b{b$1mQ0du)6v%wvx@nAzul%W(509+9kx24A z-aQ1_QerLeuh5!L@p3=l79l#uPpQ<_lnoPgY1#y zGqOeSgp8s$WOkRe*OI4KMN2(}9`|)lkim<_D3;^&avT>NJ4b69V4)&Vj;9c!PEJ9c&nl)&fxF?OW6yIuig1wa3tQ3{Wq z&a#Hg2xD`PjB*s@dI1eCcw|BL!>BZ88B{slU;-ICv2*EUQ^5KOQi|uhVL9EyuBAXW zQE=xNSrf(RSHLCz?j}NJQNsQqa>L@eIxpd=kg{0FTFIU0Cl6%FZhl3sX^etQU|eW7 zX}n%Ty%Mf38VHB%)}_hq{N|cpU8sZ zQ}VB&ip@$t$TYPzzax|M!)0qAU$3S&WaFHNYDv9@6scNRX>NJ~GGgOgRb;+x;i5XY zsKe16vgZEc*DJSnZUtS&&k)GU+2DoGsiDEKz8fttxrfJ(NTf7FxBst z9b_hEJh6U<&3DoH9;r6Ei0eI^7gc8t8G(8JS>)6>CC&yoyr9zrvJFXB(#iZK+a~^J z$Zx|B=+?4#QpjBq`^L!Gb7tv(#Jh~U&l1VN`EEnx+V~|ppU^)od>2dlBnS4B!cr=m z8`0C#x}!*C*|=`9@V35s6S}JWWH@=QGP|9WRJ2w3j2?VnD3qMDp!5r=`_NOd89iQY zX%IOl<-;dZN%Oq?7j*ZM4SrXpjZLC$FtRwz8L~!J8=sS_TYk)K$6Z+PRI&rTss! zTMV0!15K&v|Jzn(6XcgK+(zAaXKed0g?#w+@EBx7?H1_wz+)Y+6UkqC>=3!RdbLh3 z-q|{|#gf%Em;1?SM%tUdqYL(pMv)G?(!0s9x8~}7=mD;L5oFTOC+%dDnTtw4de;Yu zP_opc{tNm2lfU8sdYgrE5ScyN`3W*5`>x9WfH#}B`H?}^f8LSSEq7#p;+?#$l{fjj zbygi@qP>fy2I0vzw-e+VJEmEcXGH&=e(oidiw5}cg1X&s7GL9z)phjv6e0i5WK`O6aQw5o$m2HcrVxQhNCOQrN z$V_)8RaRO&hm2u4pYU{;x4g)K?8#sb_f^5XxBb;Jz+oc7j zkeLvuNhi}UuoI*S-x?!vIC8En1+w8>QDdZ`qqhD6+zU9z63H!W`Vcw%)m&#G)IG%) z2icObC;gq6yTOJR3y1vTGY5yK!!pyeU+?7~=<-p}(2lX7G=Nbsc2izY~z&0|OnOpMZ?t zOZO^rhnBR&UfAF8-W{@cje^U`m>g9xb7&&h>kOIJqWI_JlLb43Euh1de-4msUw-!q znREU>K}%>jb&fq`o?U%WK%O2w#5A2O>VEr7CRLIC*s2C%y7N69&g`e2vNsyKP-84jQ zyKq70KitE(HpP)6_CNc{)nBe}-VZh1cSl1uzHV9%`D%NFiU(j=Y(x-buFTeIB(H@I%O51CrTIbDHOA~c89vG_cL)Z! zKJ~zE>Z}Y>$rkQnM{q#~nSvLO+g_D4ggg_4Ttid!Wac+C-BAi-mf~ zRrgEOJ<*S@^o$@so|ow$dl!6AIfgD7eJ+$dHMG8kynXn);&Jqh$!kGm?XjJWr082l z;RO23gSmdB%$NP|NjtT`XqXYc;g9je|BgUd6rK@;uQMn zfB|<>S0uTdwDK?(JB_aUeToaY%I^Mivgg+UVQ=(-UGp5tmz6J{kjJe~3HqQPeYC=! z+^E=GK&}qI$mfe*wOG@JybwEhkJJ}R;bPIJo;R@|A98SIlaW>hoM+HQemae_N zo&i$)=%dYN@h+fM zBAp{G8X-I7Op)I?s59pB9x``#OUj*xFFNbJ$$$F->d1W$m8C=Q&QAZ^2{N+eY87PK z7j2gaghvgxdV{NJY2px8Y)kmh$h?I<$55SThpk11+KCUi-1ghgGL8=Rq=<)Rk$W2 zIh0J=u&V{K7FVV!#lT+v2SJcANIcj`{`);oAr|@{edR}f<~;o#vU|K%%EiIoZ=1bI zSH18$$UJP)l#YkSDnlp8$5|;=ko~jKRN@*8isSMiy9Eo&A>-oYD3$;dC&gUI5s&KU zkk#(>5l)2BwyPY;uMMqFAS1Wql3)_l{<6iM%v%4e0J7aVH~EsG0pDI5(&8F#9%RC1 zKjyj)JDi;?$nJj&vmq;Rtd{czw5&U0N}B$sm;ssiC+!ntfnu~#3VfZelM30w_2XmY z&!`OjR5&riG6^zY;`xV3{;?vRG&sxIH4d^f+a(7`Uh_AbZ$i%6fN044+Pb!f?0WP~ z{T6(`Iwk_L#W%NikiIH^RnlSDrOZ&sIPqAwknVN@N*Pdkq&Nt&za8Bh$zLy|6mG)= z)AxRmajXh@PbzIzmAeBMU+eLP?30!8b>yiV2GW_(c5?CrWPV=AsUmMq{ZAqb`diQT zfGqcq(sDA-{+L)c41BiK1u}ALKRzc@%FYYtz$21sj*#WL()WZszBEzrF66&vXb+k4 zQI0}#W$-<|T-f^6&IYoMdxZ1IAJyet_n@nmmjz^g6v$s$^&z~gQ5Xu@o_mfhdc6DUzRQt3Q9ZTje_Qi`;2U&_x`Xy)mfZY8QXuga-&?#pI{UN@ zSrfD}kCgq}%=HfajBB_B+0d?;O)lR%#Q7fmdTxp-`AX9?gA{(iH3^x(S%pRou-e}- zmFyN0ABU`5P__OC7}4UB1er9KRl{UUTdU4TsHuJ_jx?y+G5}e2)342+;D?x-(d6`* zdwU?mbB$M{5t{#c6hWSGbn1ZY>G6fCO|Z4r&b9RL00`~v0yt~ zs_1S{t_zhagv^lWd%h0%{z8xq`Q@8R9%S9L46-}1x8+ZAeuKZZ=9rR$3APy!|D4R8 zBo8K+8g;>azdchSv($O%I62VzLBAW`H#wgK+2b!a43nzreL6jGEGHojG7qE-2T0ee z99q4QbLqWk$bRv)>me@>&DHo0UG&Q%AT#>uL{mJ3l`|lxp(E6a<56HZk=L4Ci%U{)zD<7Vc{t1g$ zuJnSeS737$$^HAH#2|DI*7ShP_@BXYGGlj&*bwAxGjW0J1yimPQZ>6kco<$%cXWiz zhG?-OvVf;ra0DuP``APF&JTq`Qp&EC?-z_|h_rzWzuuNS(x+&IYZUgczG*=QoZpiT z+46b3Q^ufb=p$3eylg*`L2|h-oFtEQ)){}?g*yCyoY5#4T(m!->&p$zANA;aXQcBZGfpMq*FE`7dbl+V3o_rhY zCdUD1%#`wh?7aAQb)?5|pfo4$X$Muj$gGj>Dst+MIEg86O|iZQWG$2?%gM7hv&E+3 zo+)bULcR$TDj~<1QsHS(%)`?WvKzk16p`lU9|Wi4exmxEJ$ZT4hC=eg)$e>Q2NH+KpTRQp(F3RzwK6B(p;itHpAEYfJii|&vb zno3@sP#-4~TnF@Lpr4#fN+MHDjfWv~^W_v>K2q&|9GRMZV1P_sJWq=s@8Y9gMw8Lp zr+OfB;nWI^nec4?=LpjH^u-R+`RyjvS$JoyGZ;#GCEjR(%%+tlN&-+mX?ieZMQ0Z@ zlG6em6a;Y}7!&m;8xB{!hwPJPZ#g0C8%7E~WKd~K9T_PeDLor~dxn-5DYsyx3Noub z(W5-;vEw%#ae?f@7<|mNMNDkmZYs?V#QMLr+x#I{Hk6k|IB|TF72q z8zo5?{YWqvvLf3`8fkYWc_=K#zBpUPA2KtO8{U(RW5IGupzq=JKIHGQ-a5#}9lj7H5!;74@mZ>IBmE4t(hMHpgJ;>&;ITfTAQzj+@=eQqtfox{SvJ!HE`zPV0@bjw> zN62`ns~3^0qxuDx;eKs#l0C#WDx}@}os(Y{+vH@P4P-mM+vm}~wncrl;SUBkex#tCrOtBKaEzPzaF}tN}3$lJr0?vMbivcVxL=; zp9GnXCx?c~h`FM=^0?0qu8bp(%=I3CjIfiumI93a@+BIw-;YG}(7sf(gQ~XqQfG zpCl*F|20y_ecwc8D*434dK@wfz6uy0%4Ndr9@4pDh2vp^CkPaIEscy#oSpmc$>z+pr(~N_Hf99d;E# zmVGu=Xgf?ZcwkQsJv~?m8O=5G`Sq~FQeN3W=9BR0JlZnnR&wh@w?EAmkSTHs&!)}O zqB+F?o?bU(3Yo;xlnmP4YfUFJzo$UM*7qGbfvO#2lLS)<6CJ>=D?do_$9mnCl`DbxL^gFIs4 zq`C_><}M6_%wp-<7TOzg&nWGNnLLWY^<#P>kK(l zZ0ULnAIMyi<*z3{#1%=KLGhWcUZgE6Sq<6L!Fq{3u-h)c12Xar$`!QTwtW-Z3m-hX z>O%frxxEB38D;&VxG1}Ol{Ma|80WuOc_vH@4gY^e|Ae*&iUOhST;HC5-+|^}Ic|rDU z+=^=2)%?v84%l`yJZhNs z4tH%`H+Y;Giz9!Ur4K-6%PVs&cWh@fzAI#R){`DmUD8Fv14dkuh=fe%wE7OR=y+#~ zC+=!BSCo#yOPbq)$>*YC*aM2qdt(4(^*na z?tA-I+6(sr?LaS5En!_XWR5QHmN<$1`dX|9WOk3}RnX2oI3aclb`NK{K<22vO$k|7 zBq(wkcOLx`N61{d;Za16%#{)H#$Dk?gFX51cW@!O&}lut54!)CUK_|hJ#sCNG$`G{ z?TdTfTKv`$?7@<|*`%M?{wXZ(yvE zZY8q{@<9ltt~ zNQOji<-Z8$PaCy??5*Rs@<^4Qz1-orzp|WRNm|xC&L#&mou@>g`{gY%BSn_hWsqm{ z{3ao@l~2hy5`OmSNF@{BM~_2Rz)siT61?+%Jc-oZc6%5yosTSaFT()&nen7l^3wsx zmdrk?6$R}B7hfT{$KUio=AGeLjc91pyf%^?HSFpj%WuV~Uco!>oZvE%1gIDA z(UF`vdcFvxpFL^0GqDgdf13>XlVHCRr!84<^Ijf#=bs&SGT!YB6SgE5 z;wMAM^tpLWxelLp$eEE5dzvyx`^vCM$f{^;G`<06-u;mZna(BG$H}f!y9`obEYGxL z$gcixetasn;Ja4?r0B}iT50gz!Z?Yjfd^cdqJ*dXJ)(kRASHESDrZZwD$?N;K8|T4>w>Pa#RapNwjSkWTx@XZY6cROO+nNupgemkgeapw22)2`9a|k zwA+5(A2K;lHZ+hj!hLd&;f|C9AIK((7}k?N&vVE;fjX19UXZzV)UKKwZJ#Sy1daBT zdq6g;@5dA1OLUd5|Ca^|g5+$AtjY^5b+mU%R1lP5XDrUM=H^pTV(e=>cZP6N3wbWE-qUA-gShpch8s3$|d@yWbK zcimLvMRM1;RFhSkB_(Un3*zcM$USla6{JLhvUn|eui!Tqveofw33+aOn@AnHh0`BL z(yZ)G5joAoN~j*axnkAa7_&vxG|dyr?(UaWvj@*GX^R@fap=t5e2y-@<$ zG*c6iukdxp^uy#r^MWGC#NKldYJ;yfiya^r=T{X%_NIUje>?n~s9;N~&uPtr%uA<8 z?hd&6tCl5s^yo-7WT#f9P3eSg8~2!zk6-iLhRmL2k0#02@kflmL2bc>X^@Rcsu?FY z{$>rjV6pR>WXNc>wGES%W>LD`@YG%Hc*r(y8XF*;@26|^K$%$EMfA%$yDz3AZ55QOdp81eDd)?|G>+*Vu%nvxj>YW#4>gofl$&wW+l0TvS<8BYg zDy@#IAmu~!#RnlLGwA}E+>6;I|FhdhWC%OlO6V|Tb^1$+$X&XgLc_S%e%x<13g7OS zdmFMJOUfq6HkA{`W4I4w%BGPMiyOzuSyw|1#-TL7MlxjW4h{^Hdq$IVf8&1ah;cmm ztZd2;^0DcCtv|56^1v0yD$C64B{w{Hsqq*0!^=-alI3StbdnRlKdVll&kVU3MtXE? zY9;f`2bCt#YkO`4lfpJ8O=R%H>8t*s-`-x}PyTu8&_H^MiY;e6@b~*-l@Ix6kxxB& z=A?oQ2mCV7;ssezHnN($^+`*T6L$f_5f5^AOIih4YO+Us3be}MafR#~=|?4`^n)WJ zQ*pl`d`4&*G&;KG0AxROwiS{Z$D{bC<33!cZA%90jOCHP8q&GBV8I#-OUUlJ#g{`4 zEhw78jr)~LE@q@UkK}Fgn@{~D88z&0%!7AZ9F^0^#Vm)BlS;GDXJ5?@CO7Sh+@d<`DP-Dnp9z`6;1zBM$W>`e z9+EAK-tk-D-KCg7The`O-F?V#g>`dV!piA!mgFOQ{T$Nz_r#Qacqi|XZT3Ik*xZIp z^Fg71WKnC0u@$^-;h9E0cqsE5vR*qs7+6E6m*H?)-; zvd~brgEM{(1VeVm;p8T==#}v*d)R3`H2^YeKizL2AF3W)egF#R&GUt<(Y9ChCmAS*RjJ%o%|Lo5FgINSJ=E%~Nu%YDcet@y?51g)Om zw1kYj`raH;?i%k@XZUH&V>9w$rqgZ6zTjWsJ!s7$i-_NsztmNtgIV69k$W&h_JM*O(WX4lY-X=#RR{SF+{XQGB=*;|! zX{12Zrr)Igub&2I(AC0jB$JjrCL`n>$LZVr(BE|C$CHiT4nN2ZUqrX~qaU}ZxKW>o%?RXQA=dkudT>aat?+YtJ6#K)efk$a9Y5Sof%j z^uBjwRS^1w!omRZ%$=GBl3(`B@?iA%)HS}O(&F}dvNj<~<{Y|*n9fO3{OVXW`C~j? z@;v&f2n$bAaVGyuQp~kTJOn+r{}2BK>^j3tTQa@N>OPriFTisVy|uj9l6-0Hp7X!m zBsDc0U25ZdGg9|)(Cz=ZTlF7gJnDLkBj8)b_%yP;(%?5_mu&lI5D72c&PgWowf-A{ z3|H~&ZI@usk{9u0Thg%~kX@*{Y|CYs8~5=Fxp;m^FJzqWs%?ydLUZ~f$;gPrPRRb0 zHCi7H(?dBgkm|g7t&qvQZm)a=dQKBLN6z=JXo74hb8^*Hc*19S0J-XKQv+n?SYKEk z19L_<`jV$Tf7U}*Z|J&AEL?PS_et_k|FqYT`En#*G7b*Z9P%Xd4~f2nY({6LcszW) z&D)hs`zl`wnGBm2k!$d4NyK6DwWZcm$aZ`h7D|9CHPQ}{Mvu)NLdL{|XJ#Ti_vWE3 z*}eA2eaQZ;S-_J7H|?mgB=hdFIgn}EzGiANRC?KFMi#7yx((T(7ux?w>n&r(*Wu{R z^fbsEma+IvK7Go!;|A>|MahsIOm-O|%{NGHOM(4`_3@C&T@dhtl+Rb*k_z7|f4c(N z%$Tdar0u-z8`E%4y==AqCOkS@-~wc~L>9M_5`yl^w;&TPbq+FJGv7CnAHsrGrNiN$ zDglr!3F&Dd%X#CMXTTw617FBAa{sF*2ZC~BZbOCdwkIJg7dZPhxntT3$vZI3;g~06 za;GeNN%r`C6wie6oFT4c>;bh>$QCpGB3W=Qn|K&9G3|y=$vPj-+1XHa^4Cuk%twE0$#aRUZF<;Ac3B=-Ux2>q`GO1NihVV$r46GkU};^GLO;yT3k+& z3$-O*lWwi`l26b_Yy&*W)Ni~} zC70<7%zlRc>|5~xGWd}DL-O=%shP#-OC8_al2dwv?vt~ORC%7GkJj~Al24uDbI8Uw z22)GO-T%xWoBJc@HrZ+V-#@zlZkWBR6!y5kNF#awkE1&c>hbU5IDUnqqEJXFZB!~H zS`<>WD3ugi|ItQhrCqvG5>ctNs{9LLrJ$LJ>mu=iHB8bI$ubVy5X= ztm$3c*^hT+lh^E{zeDD0&zen*P<7|$vt-EItS{svNAr#Ma3}qKN(#xk zT>b=^_x&!~_u-a33lhjX1NZyMHT!}zn{anyNIr(#XVLu@GLJ`MR3E_I-s_K(@||B_ zK{n@LuJS`@`ol7UTx!qN37M*2)$+~IFW4=VbnF#wBUPN6mp;N>H*+|MymCaT1v2#m zZzNh^SY*5}={;j(6M5S6`=ZCV+cUGki`*Y$bq6x%zH?898-D}A&!D0ff zxLfe=u`9VaJ?uJULZ__cdkSwvyx&E>lt{V)*`;{~+-)$2_m>^{^g>Y?WK`tsrnSSy z_*qt@+PvC}kPWNwnk40fB`rE&$=SAi$hb*=%zg%E6{LQL>}5IQP0yio@t?EgM!`#8 zAk$p#u(1=yt(ucUMxAZ=1lg6E2erE(f6bBvQe?^Ve#pFRh|+ukAM0txkRv6Z-a_`X za)#$An{IOCuEOrXq4}Ur{DUALgtaPTpPLi(Tk-$ z(0bp=AhPiD+7`&l?ii7H4WnM1^M%ZvfUQmBsy|aj-@qr%SG-8+sk`q$wjfeS=q5vNmUR_})QH&e2`u@2I>hkV%r+&ix+7#7(y+ zT?Ma|K~^Va@3cPnS8b6MIp^G?i;&@z4xJ?b7ARZvLk@-Be8|oyOZZJLTBT?D0sB=~ ze`J%EYc6~z57k+3`Us0R@@7DG`lXv+NCOp*jRV;4Ze5&0R&HzkL@L!D(H?|O|E)@Z zY-4XLg8OcgTN+ib0W~kiD}|qm4Y7Ik0pDM$AYLf{gNo%`N0i#eWiC;G*PGU&u~hw5y41 zyD?YvD;!^P#|ttOMZR~)*G4iz-=N5q&V7(o(>zg2E`OmVFp9m6!>}t^)s%Ui{A{{~ zZwzvca5zFX(7N&p+0^6A{T=&Xhv(aqM+feek;5K=(|$nvv1L|}Z4Z2Pk+hsVHAymi zwJpZc_wanpCz-gM-{k$@7N$SZH>7jskfY+&-^s_(dp7+-->o2=LCRM={6b2JhHU(e z-cqwXg)G|e<`a4S(rN7p^!!yD5=ftpvHt&So3Hr?J)?0)3>mhYyO%sOd|mY~?z*h@ zA16D0iFT75>|^DB=yspj2r|W6rIWlo_r3fiy6oXIq2!@y25n^7`JYP}Uwl74rznUl zNVaVuM>J+ha`@u=nc7>vWr54(X$(CNvfONB@U?Pi9HvLnEkwrj7pB0HXZ%uR81@L z!ud}Z$vX-elaS?4HMN)l1+>jSnXkk-t!50H73b47C&%;4W0LvBhI>V<6Q z>IbTPFtI-PI2o~Au^Tc9tv$;8aGG^o1UaKorxUUxCZqDRVfB~1Q1ZF`_BO~o@0%_& z2UbU23nE9q?`?rB&*4RqbKw+;7GH8}OlT8iBImCV6@U$yy3*zt76zFk#BM2*?hH2EY9iD zs>;yeLfUcifa&IL$W(XzRbBz*jY=cP9ba~KLbf7!u7V0&H*`CcJQ45P2AO}NGBPXS zk;2X(Qcd_o3uLqFv?N!-wVQ{1N$#4=Cde$oGdHT3?{m2bsll`H^Y@b}Q}5S8=1^>) zfI3{SCcm4sD|mGsvO8AB@M%D&T5U(t)A;KZ$V5NS;a&|x4_n%kZ6loJkmWj5Jxvn| zOSxH*k%_{^ka;TJJV|bk53$gKCsr#JK=%9HH@``@t?{O7V0X`k9LVh2_x(HheLR2D zT6jFdDg(08b9lazPcm+7TnF>`-BTc=Q7tw^{@L(ETN{445|#kjbo-SbNdLk2n(JY- zT~Z8W%%&OklE$Zhsp`-ycJVkF9%t7LSq}}q6}s@m-P#Dq^r(AxlD)4b6*fRI_x4co z#OtGNkUf7)U1lTXm^TmvnWM+jTF82(&60XhwdSuc*{W391X;_Pouc~ijnQ0h$QMLXb6ZvHJlY7ECYauJee?q_z)>donhD_zM;p^nFtC@V8V6^-eN64DCb5xO< zj+NX-Q0w29^3GNN9x>uk+lubmb>lc0Wa8dU>W_=9ut3*| zd=f$W{toLT!;Y_1utd)g>I)_73zFK%VKqaUZRpI~UqPhvwu>!f*?T+5?dY#!`25J7 zQ|p?@JMrG4JD`T7ls9B6%iHgeN;;83R@mQoqQ0Npv2&o7934p$u!dQon|DLji2vVp zk}Io}&j$Oa%Xc}FeqD2`NFUQX+_rFgkFPys-7I9vN!5Ry)9kQc5p%+dTr0Mwm^8mM zJW0B&%d)V?T~y1K0`lg6Qzjtu<#VO!e{fZ(OAdKqZ2k|jJ?s7^2iz$s2W61A&&z*> z%yjeajXPoZ+n5wmX~+5@GGWR$?OnKAo{*bB{+_Yz1DTo1rR9jeOz&z8Isb-RFZse) zM9m5P=y>yS^0@oqZpgU*Q(EB+R}{UCAh(GpbV4?ut)R^XbE31gj4Q1B&J#=yMc!;7 zWraK>cjN9r;bK3sRI=J^k(G|z+$zKf`<>V~Q!D;Te zd()q8MZO9!DJExs`8NrfKWEDA?e67ul2O{*75rf0)9Eb9ve()m z-YMBD;}1uo7X?FRVs%Rk=}-|W831$jR``+QoxM$v-MT+fG!Rxz>Uoor3FCJllex4| zCQBFpyzJ#^bCm`kZ})t%6ABID@Qnz9k*4hAp2y^2ksCU z@hQcg+!Jb44w;Cb6VnbutAY|M(oV~v7_!NiXEUL&(y+mTEFC{k0GX-YOD0Hd&gZ5q zw7nda1KAcu%^##>!>3JQ*#GC9kwJbNH2q4thBA6bV8il?6v+Bsa2g`H*UnoX4$rqX zCO}3mEZ_tA_qUu@1gwvJ83S26?Nhy^)wOkMN8u{dFUKMCZqaUO;2 z)SRkLa)J6Dg=27K^FkIfJ9a&6BW>q|$V9>F=;gtX{Vo2cg%oQ&EqNT~7;o@{%)d8d zP2^s`e9;rIhu6v*vb(am?~?Nt-4Kd~Va@yZLq^n5td9Kp>aoB{7;-9XH)J)WR^A{L zGT-x^f}N&Gj*z+h-k^%CbNIy_L-Y3{d&nNkw<{+rCHOdF;l1iwE6Ci~<6TTne=o_z zL9L*63&`rrM;4IR^VKIvuC)WEr_mkT(sIbmh|NDp73SZjc=VE_(hQQ@aMxF|=Js5@ z1axbgJ1Jxbuip?^cuZz}BD$SeR{~`2_YTLLfq8*hz2qKwbG0P&=z=LH$Ybj+ca!_R zxU5J{(ua7dQ~(XeK=yTH+g!|qPwJh>La1E=pT(k_mjo%lOcrwIZhs zgcp-b&#E%n=s62NSdjn9Qwm637o!QtcK1%0=D=OSB{^ixa)%#~2`rv%lnX`m8ZyZ2 zp9j7|*7Eccy*#MF|2&19b|GpAGG(@!>(9f>U7r%jb3Pd#Ae+Ezrj-wq^O#sNcWp&4 zWU8MzsTIIB&v_@v$r<;$N!w!qD=y&9PixsxvZ4KDCuG)HoKh%+LDRKavj5zdHuA{g z9GN2Ab+=grlWy*uk0G;Us7mr8Y&yEfk2KK~en84ydnj6ryP>Ti-elZ#rMr;XpZ!Lt z1bT_b?}x0C=XZfi(DrlwZc;nf>IP(N*Yfa}!h)MO9Lcur?p2WO=UvQG2De5(u_yDF z94Uv)ix(?7%b}}HpB4FZEU6f>ONtDc3Ru4Jw*~2P=VAe5I2`OJ$fJV%W|eSPVqFd? zs^s$nvTvHCj4s2=&K(($iJOf4N*+qn(7OV?R0mTayYET*5b3|qWPKHk=9)}^Olfx6 z2Xd;UqgFNK?-YoI?A8N!d&$O8KeemyTcPX;$ZXep(M|J7>j#oIVcd&gKgeu8t@wak zulQQD20CAg^M*yCi`aFF}Go1 z$t+7U#Hh9avQ{6wCTL!D>*$X=aJ{X%(Oqcy^J4~NJ#KDidoETcmOLTa)k})qIHA@Ad)KZx0a=$H!`HfWM*hIS8vf+1rVuJD+&ljxCr z1TW;p`a$-kuFeB;Wa67>3-&A1^1R7X(d~E1ch9CTd<+eIukD9y@6Ww;$& zL-vW=tzxo$h8NS0{rv_BOLC?`TLG!jA2C5D?o~7Ez+I{I#~gCvcIpqv>~JzRdIocK zcIrLHe)-!usbm9tdk8YGqsutC{P6p&!*`kKuu_S4sm(%9KAL}moI2O4hm>jOR^dZG5`5z*Ie&(G z7wPywOpzbG$NLFOF3(>nI~)7LJ$=EX{p{q&q)vvR)Ex9ahu?nWwdutV$h(R5Vsp{s zcJTXp}2YvdEm?74RR#pEdM-o{8*MexAtjUOTN{O@-yQMj+5AeQ7ew|)oNhTlBuV(@U@%@d@qsYefF#C|ST zSq!J-v>qit8;5t1b6>7f6vy3gRzFK}8>O^E#-wYLtOT^qoCqdQ8J0YTEYta)lq6Kh znC(xNDKtEQjP&yZVp7oS>=GaHkN)$!kS%={wNM&bglW2y&-I7uAamnchTswy8fLbK zlsDkG3EAb(EBKc};UmsYWWT}uYRCw8-s6#hOTz>IBPBPlLRgER2Y;CWn>Q zmq2FWkFSgz%!tgjB)L_#U4X3RPp&^CbNs5=GMKn(Z!TnJOo)t=uc99r$-_AH&`ik6 z|5N@(%Eb2SDZr^(iK&qJ(62X4zKb7UuSoN{!bHe^8?^aI_Lt9Gvm9z}xD^W-j}gyz zWJS7!x)S6vY&!wjU1JeF3gF!*gw`y$|P5QHTXtmW&P4yi!N+>F_p~xV>e8yT;$VPhyKjEE|Dx6_Wnq&tCm`$ zjn3`b5leOp9(zaD-_}rHk6z+4c!DgHINL*ZUolb9LBAh5d6XPlUfxBnzwM}~i*9#H zFpNC6rm>xrZuOVlfbNhkcZh5=dij|2e|=JFBl^q2b^fHk^_K^v2zQQ{9vsiG@PX`! zJ)Di?cA@Hp`q~SZ>0)*?yxw6fI22iagWDjH|qLgluYc<~T8)AR_QM?m*H)LZq z`PT3U&n9$*Uj_e>Wii$j(8P3L&!(?mXI-Q;HyW*EblA|~KBV-pPS*+Ow z4UIVCAam$n)jP7TVvo8b910VTCcQ+Odm#Jrafpf&l*v+xgv?8gw_T*?aJ-^3{B(0; z7+JghM>}MLcrVDhK>a%FLy!@^# z4opdPC)Zvzs)wvs)E_}NI8Ex(9+K^JxCxn87v{{~3sW}Sb|TmOI#>e14b|Qr)5Bjs0aV z?la_toa-OS2 z4@rr2pTq*7;>)u>kQGWWZ6t?W7~w$dzlc`2ldEnx)sxCG^X3IXXZ?G7Ap7`Tz)f77Cw0_b+|uPKKL>)RSgQ zl;%aFTfBL*huobWf0K;fzH#>3jQDp4 zk7Eu9KyINk6k4~n}#gzQMS*y1!8oc_dzTwr~q5i&RCuM$p& zp6z|^*l?C-`G;PT8;Gq)8S}xAyI0vu(G}}gQuI4C&jJR#(AF_R+%a&~D zH99{JvQEkO$4P_jLB=_dS6LwoGD_{;-$<>5Sp8g@-F4C+8#HHhn7s5PPbUvPDB6Ao zGGcpY43If|*Vmkf^IP`CLDubp=zCJskU0d2-4%j&hps z?A-=g+jENwNq&QtKV;<$c1s1idf$pX@>Bl1aq_jv8RJUy_+cu!v0J*ZxduCeTF zG?_Qu^fl>KI;nCMUD~HSlDul>^n$!RF1Y*}dhGSaFf!dSpo8>WzfA5rdhpa&hsf%S zr=F0N$F-$zp!aY7>Q644o%@jVYqMN@6a7UJ*8x)B=4vC^Ai7t$2HoVXhzI#L?@>K@ z#UymzEp#1)6>cQwm)@HsM{45iTJ)R#`p#sT*3W9Pc(RbU4*lwFTL-fJ*sMyD*<8z2 zkFGV_+lCBnm%K#2Oljw6K;Nw!xs9xp&?qF;`v?AzpJLOu+{T@&r%4_;ch%%LWPWs) z8Q+0vHI7-N-x0x4$Xd6`eZGtNOz=ycMtE)gsWaqVaqR)fDnIpd0D=P zjGYLV#(miNraGEjQ}6Z~vg7+iRyM)h6^|mx9pi^zKt`lSdHDl4a-=tmY%@&kfb1&DlmeuC*+Lcu$?{FPT%U zCA#H7_L{B8Pcmc1BjXOZ`qSYo$jqx$9wjAq_Ub>QSvD~ZvR`=gKa&bq$90~=Eo|W# z$XGhr4v=-TXRYmoGrMlZL00>w*L(6}grr6nG*fAhhRn;~M_-c$J?bl8K#`LJk>q2` z^cRrbt6{SIC3Nlo7X}%l(y|V6euAUiE2ya>7($xzG(Lf>&S!t=Zg}RbTmWQRU0yyU zMU_r1?t$h4+6TzK`Y(-;wTjLWehn{sT6#bxK#Z$_T=cPe-W&L&+|7+V87xu*SqHsG zv){rE{GrZ}QR-5@O3LT<^7cZ9t%(kh-Kwr%Ngn3-$@LEQmKEAShAYYT5^1w@)|B_K zpTBk+WLJOpDkN)aCI6Cvp6y%u(1$G}^T_PQ8b8TXj|YtVp>4Y! zatFxt202xd^9|=sAA=`;H`+kCx@ znUiMIH;==VDc7<{yH9&ZNvms%41VG+dVfnA8M=-A44I2kD!RWQ|MPceNcp-m1LUz7 zgSEeLH)!`Oj*OXo@jYY)f7xkF!2A-vlcdq1y4U107oU}XaF@DD`WSiYW5)}~YrMomM=n+;4WWPYBmke-AacR2@;=alC+lhc^{iy41> zof`~1K=NkE--Aq+N4GEs6tRx=ASY+(G?2Huzs;M1yQGplH!>(>dkthfOlHiP3VlSc zJClcp_gy7(YD8yF!(GRz#}4E`Kv*SY?3b^c&I#-Py|*Db2a_(5g;|DExNx`1>-RSD z=aS+=$Q+vU-(OO>m*0FkluoJ7BRj(n{DkZc%O#svmoAmiy9>#-_tbUh9ZZD z(ny)TnV%uMS8Izd54<&VN)l;wyK(?BNu@4pd7-B3g41M+deeKz>PQD`%!HyZ6;6^} z#XYYf6OtOYauz(kMfVu#D>?Q8vR-57m-E5RZ+9Fa<5IYvLFVS(8*=>c$qx4rat;6D zR>&s5eIh*@wzV7yApIj(HA7~?s(e=;FF7Z&A~ctB?RX@>^V zanqdn0yHnW?MABb_|`zyrD5qDL3sR3r!!`d{tYDS- z^!YIE_*7eRk^PlRkh!Y7d&&anJZ<52QoQp)A!OfOJoJ~W4P9<71TR{=$%9OmO#Dys z;>3o{3*m>$-?Jb)m|HMPiUn932*VRAc+(-%!&&p0l>F|YD*}_6#FHSa6aI97Eb)n0 zy9oPD25P6tB^)2$ll5OxHALZ=yT&IWn-co>HF?sqbfp;fJ2&n+MxOmQ_a%9??auPW z@Xl?&BaoFjEc=W+VDUmu9Q%R|Cqqbqh3i_$>b4PS2`F+WI{>m(sTR$o{<7)=lGqOl zyWJ!EJA_4~;M0rE9+1sAd$@sY-Jv{R8ulsnxa&t?|N+oo&diEF@ovQMZ z9N+$axiY%EQPL4IS<>(sx$?~~xfSS1Z5KnxWySWbwNN2-QuimXC6*__!x7V>PFuZsQ9JC41iP-kTgnU~};M-5%bYk>=S zXL-|AQduf^raF4tABCOdv1dJ%q;Xl?bPe>yCvwLmS>Uk3LCGDy)42 znc(5iE7!x)cju0gBDGszLiSeZG$kD<=~s1x>{r|K3^MU^g_r5VrQFRS0nK8bX2nCOgSV!^uj>K3HEqeG~jQ z#mSbO`$n)7GV?ndrx?MYw1Dm8E&pXjke##b)n771CC1zs{^DPM9x@@rUw@JVeYu-A z!S{Y!YPoud57_wjuA=n!(+E zNv9$6a%5`gtFF_eZhdqgWWU#~UF`$8qeo7X zoL<>)AT!`;vFZTi+{PJ2?pj>^60!#uyD1%nb<;$`$<2?OpF#XTfrpp*!c}R?hspb) zy{(YdViTA6L4ITXK(bBwXES87<`;?k!|*@02T9M~S@$99bH7$307hQ&_9Sx>rEWv! zSy0FPKsXqDY%l3*u=*Bcn-o9I34-&KGF-^|-=^0fWAYXs`C(IU#ZL14CFjeK-E(IC zj6-nEq5HO^xKmImWCV>AriMVF6+PQY1);biGDtFfgoW#PR5ygdZ!X8yQ-HQgEB^Lfsl0+5_v>!U-U>k3LfDMJqVf4ZOZq_ zxt+Zt$Dv1kq9mdUbMG9o)Gi^ysvmw%*y z>VmDY==qDA&XYkSLBB|@?+PYy=ucnwoFiLGel^vhD>@ucBcYae;%b@=K;blHB@Q{+(9hc{$OPU@;N=<X8?t5>OHQI|7q@$lxXxU5dU&Y=c z10+=Do<+Yr`p$*CI&tP2DcE8#D+Ar(#;=`Z<%Nrv$;C_&>-zn5VV%9ITo;e4ecMn)wT|cVBNY$%bzqP01$vo?RY; zjCql(VGhhl5jsnDWj`2!>_Oi{8*&pf;OcB$d!CFoOFy-e-4?2H)PLCjyAuvy(2nJ5QcaU@$4Y&{4sQb$nU4;AF zUU`yHw_|QY=6%Zg1;y}Z?zg?<=ES^PkbUm9eQpU9@txsHX1QFy1{qte{j)B?NqMnd zWVHH|%aHY(b!0{ed>2)Y7@hlLs%7Rgk$W@Y>5;tJV?@tFI z^L{wvJ}LCaY|%|v+|Jblj?xADAj6y6bc@U?51xAqrk_xBh3w(O zudk81r%unRg&wXOc0uNd&G*Y>zG=aXI(XgQ+77Zy)OpLuK>3=f_3(5Jb3rt7-`s1W_SlZxYY41nVcv1 zg&aNHxZy7P^w@x8(l%n*C-U`wuhuo9FY}CvCoeg#?C%j-@9q) zL-h8Vi9k~Jamgd{@?8gsX7tePIlko7%G>wJdxgG>9--ejD&s}^CwJW@_r*jnXhHWl zx^^FVcX*V5l1bMN^x!w%?lCF(3$dtdVlWVhB2ZFmNkW@RRmFOs)>f=tly%kj^l>k-#} z$gW5d((HsT2Opdw!`u(Oh0M{g<*Hq-O72&=^%Szx4ZN1Vf-l!g29X~Yw?Bf+yM>Vw-LQ7KhA%lWYw$i~m(Do5 zs0V6_ntGA>e~>@YB3n$olr*oBIZSod|R#@4l434wE9V=tLgdX`iR-}Qym3>Db;0g5HvO@^$SzyBvP z& zyv$Bt$XL~%Xd*W@tr3-kd#XNrLDr({+#S;M?N%Wv_^@T#eu$rER@IVPzxN18!+Rfu zcSF{OV};`q%v?P0u8{GHXSkQb|I`fZA-hZZR~e~jcyXEx_HyR-R;0Z)e=%w8R6j|c z+JC@87I!~wmK2cEq0fIqCMxQxK;HTD}!ZuuGvXf;^+{(@E~ql~z#3-5Qf;p`@%;R2!+_q$#rkefII8 zAkr={vxSU{*dnQdez9nZA1RZ5xrvOMnn~bh`aEFv>IwZ6Ty=Y|lelq6G zn_9@&48;qmLbab8caxIS#;=o0XBYCR;coRJTSroH!>lUE9A8z-tqvcp_qHcbS$9m+ zKxbT!S&`1CRu@A?HuTdZ*&dx?u^Psum=%zA=Q$=It6ouQstM(5U2-6!)z!2~3p(@% zXOIb_ieDl7jCr$h4YV0OodTI8k&Q#-T)7|GYhk0vg#=P_qs<4%_LY zySrB}X&x-8rVZB~Z$D1zBu92b*7Cf@iuEv{axeli#r0=9$uEyh6?EX{9)^YNvFVj< zr2K@lj4rI^UJy(M|GnP=naQQWk{jS{RYgBCcH`?N$og2E7TpM49XEJGX0P}6JLF-u zKu8bf#9HqspJnpaK~~~YjetJ%t?}FqnYYanH%R+eZF~lB;L}k@vgD0=6=XGd2e}R5 znDAM9@(aIdIb_-wGn|{?Iim_IvRT`?7_zU;<}*g{Wzc;K$SjBsDj>sIg$c6yVvngY zl)4$01KGxM-5;b%_t>V**tZPlXOKnjtiF=#_<8kA;9T*V6v&Fs_Z%VzbR^cBV*h<> zTLQ`LeDnipZ= zWW8UA-z62FJ{8)Iee3&({iOX|^*VAB&w#)VC@Px18?v27CO61Gx|4iX*w5Hr?nwR# zcd8<{9Gb^t4Nu12vxjVHO<*~xRVB}9gMC3$w-q_{XKXQ<%&W`TLZ@kC7Lc7UlwUwz z*SDIWeU&zknH|irxS2!x9r5@<76pqN+2ihR?9&Xg=~l#7$S7V_)B6vGHGfPYYbMf$ zAgesvWW57?#XXro8m=z?0GS~ZC#{|EiNU;Ba=-t*Uee1uP;D3PY$N4QkUP@5yCLIL z7Q4a`9=oe^l&pL)+DVR&oL6wdoe`%MOI{M@X@`uY@=Y0Mn6Kv%OlsPSKPLOVo=Upl zE;};9k90q)_5d;xk3NdJLe=|e-sFm&&37TYh<{ROH{8inzMo7KcdCO-nfW}yJy5~q z-fl9*Dewk4Gf1A_4R^6|-HxPuL2MOdp4aH`?1lSAM(s(5Pv^_Y4O6T*_u-Cf6^}Kk zqI|O$GV2UHnEg;QP~4JC@_kxB_MVKGfUIhsnwdMyzVR^!GV|KfevsLNn~gl++9{J6 zko~x@{43c$-$~CC25g#_3K_dy_lC%T{{q*0LCe$fiICl0*!_X5%#YRbhP7Qfv5?{Y zHrh)b8#%A$10PCSoq(*q7EcfPTjS=61JG~3$5F^g9u@B*`!k*@9E8`aB3Q^~JXUKb zPk;O<;|pv0(}E#WC~WeW>{vM|=?7P+l>0%}($(n!Sr$4^%pYz%e9s#)=PCm4k_yf8 z3j^SjzV7{y4WEpyBMlbn3I;-vm1DahGr2kc207|##UDg7%i{#ux#>5n$aPmdc!FWh zW%2(Y^SR||Ik{}wQO-l~)>L(CQdexC7_uc6=}ZU=v@o%RjH1V60ojyWK0#*Oaxyy% z%Wuugg>1ywy&q&8e~?iq_U-%%nPjJ4&sS1#SDYRT<96w$LiTp@*bu2+nZG^^`*)RA ziKN*e&qs2UvqtL(e9q+=3)wVDiFc%_b(>l^_L{y&PmurlsrNwk+5?lW2-v~FC?3UL zPOO3@uPkg+$D{*trs50-oT&NolFm`sUtrmc?zCDpZi#151HB8cH{r^$Wi`ibUzslCsK3S zU=`VKaF*vJ?gClU|48?6rh+ujuHZa{KJSIIHL24*zl7X2ai57n-?A#$l8o4@c!B(~ z?ezp?HXl4~77L?FHsq2D<==lmw)$~_Q5=-#w#g)?&zkuSGPmV#>79n2E?%kR0XNBE z$htEpyv%bbc(k-JU^RYT^~#RohYu(kQnf28Q=eDj_-VClnn*KqcS18?!4wV z^2og*y&U*#ATt%>|5@8IOkP?(RVNp!m|saGKU?ko2wCr>g=_Ml;f6a=tplI0c7>uHVTH^-`l7vbmZ zJ?@Z|XcVrec_#mV6_?=bg|oRz;VY{KYskJ1Iaor9L@nhgg9as?mXNU+K5>D(H@@Z% zDJ42$R*vp!pPftc?6DXplTL9OSD?>rsm>&Cjkp5Fui=_2=*3bKvE z$4SMj=p#<+!pMu~zqFGD%{j8y&|h>~9wHlsr#~To>s*t%j{cwNK7aB^oajT6FXOS; z4fMb}VLoIB*Q!SHv_SvDo9L=qDemNeqftG1<-{Ms8uX}&OMA$JFLvG}4MhcJ-$FmM z?5-1;vemzu%sV5;TZ=wD_vL@2?ZZxx{AuJ5W*i zUn-euT{aBa_Zf~lcVS$y;2BckS>s2@lnDo}X@rS#@^R!&i|%(2@5aZf--DC&I?<$j z>u3*Tv?tE1+=os}tRl%+GoBZatw_A7*aVm7d4!SiE#e)JQR{gs`v9g%9X&*FIkNqkP+P8?Iwl!UP){Xd2vu@ zjx;Qg8FPkArE~sO@^QA+%q4K5hi4~bT{&th$rIL|)0e`}NfNe@IdZM-64^5+a*7P} zG1J%%*|k1{g=Fi4vwz7mGtA6o(ND{BoF}(MRQ`l)MBjpQaxh@sgHbZ?&>@3m=rhhO zPbXLXdh?l#Q%}&9N0+zNOCn2C#|KD}(ZaO~=pW|WohH+_@%54FrF9yL=$dUlCrPon zOWu&*_B~&@9DQlr@nfX!W388@zTD^KO6XyG&K)8Dp4|G3T=8MrGG+AhORGajb7Qww z^2&LUB`eT(_B{$9*YL2-Bx9r^u7X~i_x=D`*OYXRyv)5xWF>mC^MnWa@_0!DIsJjd z{8i{8OXlt+Jzeh9kfSI3=BT2t>z8#QdwE}8CH*#^nyH5Vtw4Jx+4AUXB^l3`H(edw z#caDRX&yJDl+BeGRf_?l#OcfQ8(?JITK)GM6F49p5$G5N>-GZA+F5uPcRYTyDR8GSd$L9*eJ;5t)iI@Wj^vIDCF`^Xw+`PF97{BHM2$mo5E zeM8Er>8{!Whm*#RLH5h5{FkJ{3~MEGDDK7^4w*xVHP6Vp7oN+uVn13Exx@nQ;9ngG znbB>Zn#tO*3~@^seBbOKWW|c z|E|?L(L0p{PmzLwjc>@E4FRimq2J_{k0O<~b-yHwGh>w;(X~J7gp)5}8+~(gwR`N9zkuo+1|3UV}iKScjL;bIv z=gDttqJKf=nfqE3cNo+@a*o_Co-+nnH*-rv52$yQ>nv$L?b--rGF10%@PyfCMU%0Wja9%14RLndjD?o+b&%GeTL==w1~kgV8Z{Rpy( znYMocLCCnQ_PS5bIVQQtAO5}8?nxF(9=i?MlU}PA1i-S~PkYJBUo&n&=A6xz zxq)!()D%}z_SNNUkTurZJu3*_3s|^|TzT)|Wyl;;K0G5BYB?+0kuWT|ZqCta7Xdn$rh!P1AMUhm9vO4 zN@YZ4B*`o(J)iUZ^}5b^pR23>5x0A|t+FA)4q{bauSaijgv&{-z|a>aQ+y2;7YQdV%VZvFamkR7@#*hxxC z7U&#+^$zZ*AlDQl-%9hVLz>M8VOe+Ef>7AEJpKsetbNzilLtSJ%sT`H#^;1W7P!Od zEjgGctr7;03O)^i+?)-8HDq&!>deFN@=#*{WC6w}Uyz&6ub37NXA2JQft=N{jHjgM z3ERm>uy_AG+LNrFUsOU$9rTikfJWaH+#vTs@l7FV<9B52QS9%vXzd{PPw2`gRopI$ z9fNK6EgT`2E6#VDJi8@N=s5NVb6qx(_ERQhlc%g-@J7PCjQuu{dnm1bm7HVxd4%=> z7tgLc0UwNBokngn7#<=U&SsfL;m(L}OEM|7bnF0R)h8YsMZ=h8zXZ~A!R#NTRrrS$ zCvoRr6nT!co1@zanLpR7a|%AYn|g|DnrYKYsssvaoyOhu+ z8KEn{mx$hwebcq&GvnPu)h%%W%oW(GieodKK1_URj>=)8O_g3Wvy(ey`s`u0JjS;7xeD`>63P3&7=vsm(=@y$-sFJk-h zThR8C%xTEY*ig|*TAT~gx{dwjp1CK;118PQWMuJa%{(~t&oBaVYixhjlSisD=ik9z zQDXBUGTT+6jx>1uP~|Rcm*2A=a_0kPz9OA#>t^O-uRZTrAUW&kvPyE&m+ol=H0xgS zg`C!Tt8#M3pn%*x>@Qj5dy?O;xjiO#cFD=!hu58|-5@u+=wK1q@NdDm2iRNqwe2AP zzKkm%^XIG)FN9$cBaV=B`I3E`w9<1DF2dgYg7ju`(@5iW~F8s{Fuc> zkcUJy8c3J5U*oyxUyhsd{z#&wXD9Q>nF4x37^?o~UxjmDcFVJ%<6~`#s67sI5zpafBH?@@|<1!3i_=yxvieZ3)?1ibk$Qr3QL$-(+_-e% zg>`UB*S!eH#;x7mKz5f;ReJ|{RbCw;T^lRP>!GG@uv`OdzCX{4?BZ>C47v90F|v*D zamz|~$m$G+ib&PtSI0HM#lrT^WU9I3J;?pbeI))7I!XI(g{;YcRvzi}{+)0$oHhOU zW-{fXP7dVkNA>Wv!0FplHb6E~w*DH~qAbKd!N$k}OUQNna8D=yT22`zXWx0b_A~l2 z%|n;SE5Qo~N&e>c)nCw!9L`@LKc}1ake;HU+l|gE6zWcfuhT4sY}Mj;=O1wR;F^1+2k$@e9`uQ>Ia?tMiGRAe z7w*I-q>?90=J5BSdp&R3Kt`&cx<)n!8?b)#fssK=Qg8c}bh0$tZWwYx>f&Yt@K9{= zC35j+??K3}ZJ%L02sb=`dx2akd$b2~O>s*Nf5LmLJC;m$PW}d2N~NXlFL*;!AclOF zaJP+|(y>!}2zTmka#3X3ovIedMol@m@HbqUyx=JLwX3y(^jjaNHjKNDw6aBVUu(%$^W=))?eJ!tqj~pe!i|+1)0*H#_1!_YTHRa(xq)h1>`;~ z7?k@5=UvF~B7LUXl|m-7TWkUg#J}TBkvl14>s<`Fujz_XJTOu6tuv_~6LAl+l`Yy5 zqoBIU_pRheWl|pGgcna zXjqZO&aLT?S-p%MCYiR0nEl#!)iKcxxk>a92uQ4!v5mER4J#6Y!2~AEi1+9^J&c5q}4K zpVSmxOO}|fP?~~nmOQYJOi|9LB4@?fDojN$5ESz#clZ@mkQ2Xn$xlN+s}?a~I_8`( z?Oo*U{;py&IV4F+0llkcoeMclpZ`9&?D-uDMfAHtFn zuMWkOoV-c3{nAe$GwdmwpaCO{0(X&-uT>vHu6k9I)B-rU;G_$=SJmJ?WSDm+~xz-V?j6 z$Q>EU8Ia{Nt3PC`kAV3SsNQxr1#)4wZa>M67jh!t&cohT81O^&sEsH6v${CLhq9%(hDV5!lKLVPLR1xI)8^W^D`A)1^Wb;1LOuBb92d-x7!4a zV4jPNEo5Iy%CkrTtstJ&aMZK8>mj#&W^)F4CE@fR^6%J{=Emr*5x-K%hJTqqNk_lU zCMM|51tl+%u}+VA$u;lytXzZs(QQ^dSzq?9i!9bTu4jrKTCH=2Ojqq`C-0@CEM1F! zL(@8%Z;=`L*7LiLk%eQYHj&02HR|T*Pg)NhCY1vgy@#CK$F;95pzt!D z+3T=xxOFp#j9ay%n!KGVt7wUSck(lTGWACAGqQd3{3%xGlfzoP$@#Kpo{*`&t0t~T z7yLf7i#%^~?IGFSXfJJzzRzZiE4lo3$$j#kk)Nauy5B>kZRE}=AMTLjZ$^r4K>w|x z>p%{s_U8US%Uu@Oh%R={#+Fo*6uC}rkGRici@PhMJl2x~`=(tX)g){GK<@GG!{&BS zw|#Lc`DbP4Pslt!Trk-LC$BfZNU~d_`XHBLbbIAy=>Nz$o^)C|@jGNTdC&Fiq0{{R zXGs4{wGPO|D}G+;04o#EMw4SFto{s{&h_C%TVRFQ^<(71BU_pv*W5N%!x0(=mmVfN ze)_+M?17E)+^x`}tNs8f=MwcAa#Nq`&31yHH}?mTb#-agkd0olQE?mmRVlicoNQe9 z408UNo>R8N^STN?WcR(-PayM|d}QJdSd^=^n_Mxs>mlR@Ph6CChVdfnTuJ$4z6X$v z8g)m~1y%;TZX*v$O}-1cUD1`It}vp9b0Bve(YOiO0lrp&o$&ScSX;9BkMVWLDF*!I zaf3%S4y|!L~c$`z}FWGNaX6_ET=K-mZ8+KCtMOKwIn(Ttd^iN)dY~K47eWa+( z;L6=lCO;z{a$n8uzLVo`is^em_4&nTAe;NtyMsKcJY$(BtW19!4Y{XdcZwej<+k}iu61O58L1pw zKG7dm4)5CynQh?QN2K+*X6e0f)Tz_1koz)V_<+2!=a*yv_M648ZX;d2H{bn#?vWTB zh?DThDsPjq6OgLPqVh{!32! zDr6Cie#7-%DrwiT>le9b?bJ0P=r!#%7s)i2us$;P#iCXF(fwS$#*=~V3E#=J<;8C-$G%OV;@6JtxQi?3)sf zzH@Jy4_P_1p^VhuCpzf}dg-4ByGe@>&qrj}zv<&6(Blrgb|u&I9(h1c3)32N6kYM# zw{4`*?u&QHdXaUbkD&{B^KBs~_vhUtWly>a9!GckHOY>=5m`sy!=8J!UET*z}@o6Zu&gVFJ zt6;`Q$W7T;rx641)gKKfqYRgQfK26c_uMn^r}L$QWM8$_8_4B(2r8e2xqbP;kmdQi zza)D<%Fj3lzwdv!mo)AOeGa+ET??ni!kp0^KBT7K`7+3of16H zj%*(v4~u8X?j#dVRy=@g%lP0i=i%tQdD}_ZsV#RQ$9p+ubOLNLShWSR&hnv~G-dT-D+W`6-uoNh&m3l6M@kk|LLnq}j?z3ogS?&tHT??yx2IfmDC5J}(Up zZuxQ$vPW&_-jIpAjg`~k(Sbj~kP8dC@sf<--8v%!UOp-n09mqX*>m!5Y{1kjP;aX0 z9?0D~-dINdn0s~=yfrBtB|B5Plp_Cw|wz>IRC!Kj<(NpsKb-Q;8`*%dc& zCv&0VENLkk{1viQH|FWwfXJ?Z9gq_YmH%ExQca{4Ie)WNo#o=_BZ}sVRx9A9bo9 zayNVoj7p%>zrpj638r1?CV6Ext#}OEE{UHbZ?1m$6>@J1d~`}-%gULjAbZnQ_k|o4 zcx=fNxTAAfBzf@EkB^XhEuXTW3_3=yKLT0SBB6S6_Tz$iPho@Ru23@I(UiB4`{P=p zTn_6#914Lf!DUemX(ah|Mg_Dwm=HkfN|?QX+_*bD)1JXqvv2Kz%qefjQ_|Uf!sO?$ zr23f$DQF*30y%X7HJKMMZ||p_kWCjjTS)p{HyT?Bm8T7FC!bu;%7>im(k)_DP_AOE zBV^4srMJkeFaAQ+@T8COCNh|(;RfV9qoR0ULaW94HjqVM?aw4{ElD3Ci(59XtAVQ4 zqthVg|G998yc+3c`U?ByJc`NW&8Rp1q|A~Cqgwdvnsx%@c58p{CVziUTJakDJRi$* zWM&(GCwbWKuFe~Dy{T@e$n7z5t)#0$^^&*fzPSe@$v8dDX0o)pZ9yI6*%E&Qa%;NR z)RRde|K`2Jo=-eCl-zq^+gtLFs*K8ec;tS02;>yj1l5pLALh>dfc-JI<^a-c`1A`> z;n>P)^>7{=+5@@X%&SkyK`r~q4Ny5-(i5`rb|odGey6WYBTU?)RMii+f!y-DORkdR zwtX9+z05%3x=&E$utgfVN`~(@xi2Hn^fT`AmbfO9zbhsUKxVzE(&!6pso@gHx%)MK zKrTnJbww-O9v*v+e5Ya330YX_U!6ASxHS6|$=|WH6>@cf(pv4XzNajbtPTxqhAegd z9L)|`m)>-Q{I=v&J>Zs!X}kYC^27RKbeyLum*D9t@h0P z1_Rq>29gUM-o1bb_A$zH2JrUUQ| z?~P}N#zebJ7N8P$S#!&z9Iz-3TFO=#_!w%Ar~AmrIHlptC==JbKD_c$X>2q zR8EFH?wI@!PP0w$gj}kK*<+Fm|Z%y91r|h|7-{3ZbpU_ zkWE5r;-g?+;wMMQWHis-CRaQ&66S^b9fvnTuHt7_HYtB%3m+dms5ou|WP=5zSIIz& zz5hsoc4bR`^yH9+G*WJU^lx(Ls{UF5^auI_$)sz4`T)7h({{BW`UXL<3y}5MSe+1o z&fNknUdehEE9$_Fp3BYUMfRK(CsAPco7ngS|r4Z#OdC zIje|t`{FQeEP7MySZDIIT4@1kR^cx`4t=7N@>X(ixc)ZzJ|;?73cYfU{${e`Nq;u^ z#vz?g8ohj+?FLf%)aYxZg-X#s$ZlWpvK$YaH!G%-%YMH3O_uvctd+stWaXuo$fT0* z1CTA)oV;2VRu5WUAcLX>ddLkD`34hkH(cTtOIB@`{|4Es`s(Eq;klEcr^(YQ3){%D z%yz9wxXX1oe}a57WZDAp_!L_>8SWT&GlD$&bbA9SU?i(1hdbAnibLe>bHQ~GuUDI| zDi6QpwCpE0I-hw3xj#Hcv!=kh1HS`F_eEKikS(rpm_8LQT{qT`WJ0Cokn6kTFEuZ za!^At4|0xQ-w4luGu$FJlP?99=0LXn!FRry&_XA911b03@*3poq6OG2_-#zSCE1?k zmJZqDZSun;Ypq_Z1ScO1y#%>gOBN22cCXu4&xTdj=Py8}&}Z61I%G0KW!R^3GZu2Y zpKkv~*6f$nRe>jXo}GsHJyviVnYVtvwknK&+j0Wp{VvY5kYiMh7S4fk*MCPqCTx<` zKsJopqBa+HTpSw)Io0W9nlW!L$SH>^mXfVg-^yyh+`Zq{#6tc>P)Vs{ z17rzL&R-*Cx36W3;Wb_!E66RsbTggo)ZH;mo@{6DKlFVsOl{!;%a`Qz9?19?j_Lv1V3d=FO-jEvw$n(nEK) zI=YWsA+fBAG`rC~T_1g`*(E>naJN+jSr8>CzXE-5UV#^>U+rE>p7oqE!2o?ovc{b} zbM{a%*Avih({^~vXKW*2FX(f z0mdd!yj3NUJQd#91GyQqPa3X)4=Yy0k!LIhzd<%z{EDtA?7CqWLv}0_Z--n$U$ORD zc;t*v6q!1C<|oLwcXbQRV9dT_N6ETTI*pKfRrEv697=3W2_t9+H>rF06 zxm^mGp^D3d^>9qb#9gG=@fXFA)0N_+tf6X+x(jLU`{f>FL9($DHt_B}V<(c&;cp(~ zY(`~^Y=HMJZ?z|9t(MM(Eah7n|3)|~I&dR-Ph(CNDT+_KXWKS{MkkBm2AFE+R*k(>}etC!rY@ZNAUbZj{u2f3KT%e%;5 z61}?i*iWuXjUo5?*tC;;e}$JiK=b?eqagQei^nH&|JP}Yw!m>wwMQX~S{vR-I@K*v zcZ5@dzlA~W(b9|W$h;>ObGE{GH@*Xq*{j^CC2gx+m7L&V+sQ$Y^O{&yMMf4KP}m0F ztzO^{S(k8I1*vu;PJTPQykw0xyU0L?Sadt?Fb^v zpUPH~n#Z0g_~MSqhWL}$isnBfU7SD3`=P5!ob@Kz9it~?z5Vb6fAlhe>$}K%*S9<* zi>${zkIIiaLN?yL^#O7nN1W%qgL8ByhLUl0&)+~+nz3K` zJ)CW?9zsTr`|=WULgnXXe1L~Sj04EU6aGGjEVbjt)Ox6UaqAvZN=y1F;Ea+j zaQKBcxK{hIReuulz*Q$nbfEL*$BfPtyT(!DIzIlL+tkyYWpwd1q{d z(I9&KGwlR&$Hnj6Y`dRGW^l6fxqI=|50O>;j*&MB5}CG}!nE*U}( zHa!$cz7$y0OwK6oSnwPDNI=37vR~b-o^<)fGk+NU^W|Hiq^E=PTe4nbqRJoi^qS`( zq{;F9HITjCqCWF4y!Y>O02!Wt?ggoG!g$&U?&i+Zx888--eF<{Eca3+gH)wkjuSXXet0t zZ1GAay(cLSK(?^wjgcU6BlwJzXhio?tw>VXiyPx5`8(LB`wemrX{c&gPSbDvtFwWR+ahRmcUt*ZW5< zJlDT&Jodeo>1kx4r0s9=)Qiz;WzbD87bTM$S9uToKl9C4EsNPJ?QH^NrXfdvkdE5R z3?{(fU)|>*mvsA5C;8la{ql*}v-v`&NrSF}Rx&zsm)0aW+H~p($St4os+mk_3DcZR zbJ*et$WCwWtS4nACC-d(Yt8-~K={IvP z-%RX9z9?@XuctIzCD(0@{znQ-TVXj1cO8!h(#WjPjNg!1Y_?mg1WkFwFOh1+#RHJ* zkMmhQ8%pZTyg-irTlWL9A8(EsC_}}4IgHm8IhtQ}9`t>FXFsXuweuBZ z1M}r(&4&@9)q$kxvxAl7YERASYPjn+ZuceYM9!B(_U(qLoI1RFlzEZ&jc-0C+q<{R zYT)iwg{(W-ee_uoWZLsX#w~!$Mb(^1pJ$&6$R^LT;+nYoZL)eRWZMT$S}umo)duP0 z1HYfYA-8u?=GrB2^tjEJAQQ@$7$oZh9rcmlGuA3a;hg2M_6bztMxHxZCqq8QOY zmR4x1Er&em-w#22PH1u+IW*f!RTo~a7T_Q!l$HOAd~WGJOAmTVPuT}qf6vQGvO4zA zbbWZ-c99?CW-aFUA?d zH!7SnWEDah_sH)RU&L2Jeec+<5T6@wl1E0284+Fu2kvHXhHTndryMeP!+3rpD9p+? zKyJ^Yeb>n1i*wm(xNTLlC1mZwG3lgL+sa{5Hfm_CG5Sr5YnRAH^Be}r&Ym&GCg^YD z9$z4R{QY~#Ra(l1YtZ#u>SM`~qNs1=*Ms`Hrsx7H1E(tla)bW3!N*28{e)s-a`q~(!sa#rXw)h>FGE&UdyWXLPN z3G30lgYLMKD|L4klfUKVq^!~TpH?}OL&px@BTIK`O4y*6&u!mI{(T#tM|R|yiflmV z+sEulbH$rEq!sTD{*CBI%49c^{hrURk&@;i%og2AO3jLFd+;fpG&y*77_unG)n;~3 zMfA@lGQH~hAmo%|9E~@@ybV%`|{j2{7CY<;hcskF65XaHTNKQ+%!zW1uD&5>_jTQ z`k*fE6iNrI7(S z^)s!*nrC7lm(jecoixb!t?h~Z-H5Cx^0?-fPo(ajv5UOm^M=x+ki(l&HIkv` zD(c?Y&r@#$F3 z9IH0VA99-;-c^t%Q;*C0VSoAXa&J;tqqme?|2uVpKRi%xvkP*yDIyQaE#?oT_QK~f zo-UBd{+@oHyr1@3A^_^{KH>zq6m#u6q{H7Xkw7^7ILRI||8&b-($Y#mU>_8moWBur z@gr_oU$ggsX{*WUT9cIDk53>?d$Opb=Kgo{iqfA23OZjgn zlJ8zP_mXn^Ca&C%E^GfHjx?Cbb&*N0)b%*@Yk6N{$R8oG?c_F9lcfjH&q<6#k&_-| ze}Zg(nA4(zu+wz>G16gtc_aCuai4l9?(Ea&9wsY}Hot@H@Zy*`hv0OcRR_ql&qK9j z;Hhg$VYr)P=MY4e>x`|2?Dn_E3Ws6DZGV4KGfw##skf>@J{)(7lF{Dek3Rh;kbS;C zFyRQ4bj#R9_OG>j2)TbU;?fat#gk$ea(SlDeTdhu%#=I|i>AGEB46LtHcfPpj)x@`V_eDoXCB{&-1L3^lINkk zit;wddI#$7kk>y%i6+2D$MhY@JnMm6$Q@XkA#ed^eY3TNEa#5cb@IZ6VxB~p@8Ywb z{3|>23gp`yydVZ2WR8mcn(4Fe7FOqlCh5N|v$ongk(f8|k z#FL%E)4!A2KWg$;YvpxetQMUykD)_o=~-R57Mif($~?lE$< zx?2Nr614V`~YK5kk&I~~0~nkSg7+jOg% z%wFNFn1SBZKVdJ~SN!}L`6+$>lq=}Gd(?eMvl(BWkT#=ZCuX9bs59P8_D1}DNNQPU zOJ7B|U*_aWHh!0WKx*B4DtQgv_tL&?q_EZ8yJYaxX3;G4mx3`4WN`kF{5svTfKU`p5#mNze0YtQ2qwOt%A z$$=&A85hYadAmNyofQyYl?#u)Dvl?whxvSm?C`Fc`ZwVzt#@b0%5TRyAl_F>XW1>- zklYhZs#&FehRkuA&Enh8OIYMM`TE}dCdf^W@X*ME242&{$zp}q?;)Gq6F&D2-0)88 zAo=ZB*K5c*Y)qPc7v9vf3??1=`CmfT_VBJ^J~Yd8+e^0j%Rh(Qb>){+3gFyvhkVG! zj|&UT@g7_kl(3r|Z*2Ama>9Rk#@~mxzua;qPu_HX09o9QiDMpMHt19zT?pM1 zzc`Rv}(;G?BA&UzDVx)a;=Z7x#_T~1j=6+dmeHR%}c+NhEw+HKgRyD zkjhzd$=ikwa_DIEvQp@^XT?d#$*vguOnw{8So{S0ppSOP$;CIsKaz@04>ii*H?=+C zkUKYN)(7%@)w{V*;l9M<2O-lwviuD>%cggBIb0=rIT&&i2W(!F(;th>sDRdcAMAxp zXRGIP(pF7j>N9xh%WEIVC089OBZoq@Cq0LAEWhuDY{P{`TdFW$4gY$R)UdfASPegk zn%hC<|6$Y(va|H|sF(0&po=x+Y>g*nl8p;0|B{6roJ9?KV7|s>a(rs*FH&S<+?rSD z@08Xgk&)y6^^s?u=B%nk4~X4%p41DK=_WNTEA(HZZx9MTOD^b}_Z70GB`wR|z&(4< zoFrYGjJ}YEG=>+y#a&f<)^YOft1TZP6HOhrpbolid=gHE8w7kHtE5!ty~AC6{K+@u z;7$YO_t@KN{|qLdh-SVd$Nt^9_kNjWbyP;j$)t!*}@3k)^i{_0P`-7bP zcsu02e)r2KSEkJt>w&hX>$gA_zdh;}DI%vY)C<)`2J9dgR-b-@6ppdw?Spy;#B3mY zxwtr!)D!g?AtQgySl18LvgJoDkx#aEeIXMyla>sjuT!v$B<(-& zH*c&*bbjeWp`=**!ndShQit*%^aUppLP&E*vl_?} z1aAlYh0otRzaUjlPnS%Ab3$hE3JS|J1rrum*D9}Udvgsk`admUlecp>r> z+3Tg-3b`dJeM>~3=ESr}a`X2M&5%Vt64exirDqF|kUVZ)^^kK>RGdE=X8(EbotWbGe&&B@T^ z&X@?uZlyo2r&&X(;jJ7j`WvMp5B=}z?}w}{W1xl%56PH01)43f3xwRDxOgQQ@~?Q> zRA^h^;|tmN=$Yl@b?)8dY0%sHxF_Vck6Heh6dTnmGadUcZ&TgKj#D;8;D#1*l3`S9A2j6QqhHt8O&Ej$D6-TZwMk(^7@(>6#Pd zt%V7(*M}}I#MwBlgd2Y6!=@c39RhBb9F(n;$xb-y7O5q@m#64+(0 za|yBolX?coQnA$4T5#DH>kDKaB8 zoZJeU(=@ywa}Q~KOeSf^$r`}pbJw^-E?wYX5!qRiGtLmUYGJ6*)UDW!5_MAIGitk?q@stH_T!_orK;f0Xg? zBfpi`%2{Era3tJ|lnBx)C1yeNKp0u>r}_?Zspd_pTj3$)Qyl5SXIKlFdE?JnPMG6Y^}FwY zCzhrcLzX+~QUydLdBj(S#f4{~aky(L`W$!#;7$mET6d5|?|920Sc)5LY`N!Rut zIgq>cD20C~ z*)>RBHBK_#1!v8$OoUwKKmJ}){rz3T-LUYMTO4HTqU5{CR@axh9`K;Sp%}=?Oow6r&y$y58y{5nT_rW@`s~aKL&1;`UYBWjm1Yy72diEdk zv|7DcF!oPoMWv9&?Rq~UyI#_790I@QrzesjfwsN>&+Elj?#G?xn&LR}^=O|i$Sm4t z=yC8$V_gin{^GHAvLR4s=>gp7di6w+wQEv8K^84$v*;jXd?Lrlq^A3gq)U>AdMNJN z&Q3o}p7wtI4l-wrBXbVHzS-Ib$gBL{Yssi5NlIb3oB6;pi2NEWPz~9ejrj_PVTifA zKe<+Q$}`9fO|Ov;CqEtXCSMmVdIH(Wyss0EzzhBtc9CJ0<_{saXCAL~1l%T?=R$61 zbGZ+hYU3oyqtN_fr4wnj@4y|%X?QOXJqDdL+U!XmiTGT|90W`Sj>Ge1|2C3$QgX8( zcRhYPPbBm!i>pnd;AY1^iI4?s zxY0{KT(EUzG}IiFiig~$uCgvNyF5_uB%FV2&KbzI9Q@c$KDIx-^b}k(b!9Z!yt zB7gQ>U33~o-L^jl*@tUmnn=rt$LcZgr?LNG$gR~^eot1)H_SN$Lq0|wfUM=M{%g|v z)_~GkIM**D2y$_|?5askV{yfE*k|cI^d|#&_dFw~eVjQZ7Cq_hJ8yDt-0>%*s^9X7 zap-q<_3k1Q=3RbBZWz5mIv%}`SJahkDt&ODyn4w~@;tg(yuvne)uuOh$SF%AL=(^} z=Pz|2GsU`d$=s@BfeYx~WmdMNZK~jPa`%n`o~+@x}NwOL|!#%v)>OPn>98|`YOEI?chp^wvT-P zxx&m+$!nPXRy2xcLCI++9mvBI3~oZsw0=_4tz=jT9xvqt-N^hc1%;4XthZ|{4?MMW>JCz8)T?~R9=C*vje;{9 z7dw)5DV?_ zi`>+E*Mbj@*X+CkneeKaKS`~dH75K}*gNJ5~rlHPN`Uka;9%*-5hB z#&oAZx4XAbL3S)>dmCAPT0(0o%-U3a0y37?N8XcSOP8n#!oo%E$4L2CBS)t}xr?`6 zll}fKib61Dzt|y&&pUhaf()7&I9C{Rb#c`Lr0CFxDspCN>?{%Zw$RiEvPE&fACpyh zZnY@pC$>25A^nz%l>a~TJf1!sdHvXdose~ZtaP8;e4}NW80HI-V_eCVJB{*51M@-t z8Bo+DeJf-&1-9HKmv#&Cieo;dv)qmpe7Zl26v~^<pc;*AU764SOc$a-+jkC4NY&DSbHmoI;=K_=yM_AgR1%XyVDOg=e15we{p zDu0qe>jF#{!XIiXagfnn^r45$5sEcbftGJg&OtVzZm5%-ardU4Dl7=x8UvXr{=)6# z3A;yHi{N6p1Cfx8kXC9X1^zaxEyjGu@To9Tw4BpO#w8D^EI~hfB`uh|xqWjzsku^c zfg1XFqw+)KI{y8&O$Qg z>r%+?uO0WDHsl$s5C-rbYhbqmob6kbM|>PSynO4>sEe zaew}w3es9BTgntpR&e$tKTn>{g>27@3bB>&`m=-XkO|LTSV9`!Y!xztmOf{;k!l-E z3LyJ!?T~;u{40Lb5i*~DJLHjRgF=%mphUw%dval-Up8dF#V=r1!HKTT8zIwYd@7wR zHsp+wS#t;0u7(v~Qd1xs(_ueEW@b-aZHaku%!5SID|%lad1}M_l~yoZ^IaTdH>pSU zk_U(NIcqTYZT@kNG=G=UMXoH~w0tdkGqNc0tE>(Bq=YN`$ak*mD#aOs_lr!Pvr#j;%Qsmw*)ooBZFM}oh z0vz5zHf@WL(sp>q?%`pwQ`he$WK4J#%yUCt|F6lPJpSqAGstwL8_MlK9=y@Nk5r9F ztt1V?>}T$TS1qURg-qk32VAme;l3H}aBcs*U1a2&h7$5>U8L|XoSzV{znwHZ{G$Le zwgD+qb|aS>ZgL_==knhn#b%dG@<4y2bMI!zmR8NVMY*A}p4o#em2un#GNInO8I%(} zdq*jIh)w$K3EwpruHK9J;5(12q~3kme)49>tCe1`>gcg}$cVUVehaPsuuxF*Q7 zez08R3n#w+$C829^WKnE;ciNP@JFcR5y)8;|*4#1DfY6l@}*Vq1x#0L_} z`D6b2mBoI@TE>l5Que=)GxH#F)j`+2kTEfw@sRY=e>x)o^RE*R?II02RZB^a|2_%_ z!UvUSx0B0Htt=#WMGa3mgzFx7W;sE2xu(+{${y;XlMh3#SjA?@u4wVUMec1><~f3S z<^A_IkR2>Mok98q8~>$wjq9&#6(DJ+z-C=7GYpEegh!KS&PE(R~gXn~A-05%5mO)%~P!mGu*HZziww3HbbE z;aaz1+;vR92(Hk0)$h8JCc_LH+h$owykZ^`Zs5#@_G?|tj>5y(D2?f;50b4q#s zCFHH%?+=onv`;@LXJ{JFjzb?eI=G)4Y)yYcE@;^z9gjXUWttZ`DV+O|)Cu(!Pe5O? zN^v)2#Z{Y1DO)I?6uAta{aoQj{{7Zh2wDCMQ|?|tc0E`&IT7C9?6U>3)Ai@&kREak zJXhf(CUO%g{onGNu{-h3^1eg<;dv84f!k+JM}PI4^bX5WM-7h3v4cD!%w3FUb|ZcArE zue$ACWYJxTN06Oxv06L}*(%`3ZgTH|C1sFp)o&NcMpl@8!Hrxw%c2OfC;yF1y@fnl zdCQrc`Pk(yWSvsQ_;TQL&nH{RFS`SCNE>z43As2IC-!j@c~|7@P00T0HyxwweE;|Q z+c2;&^9E$wjyeugmUk7g%0t$5dYlBAYYP4Y6(;E%#d(x|2JBV?=_qcsYUbCXs? zK&CUKubCV;dSh`RTyJIA)Z+%(*o9Y%C>IG@3qF98-%NCY?8Lf)yOfpg?&d2;_B}Mq0W#hPU*=Fg zvpIAE7x~U|EnBi)_RCGOe>`CfvZC#4tRKQ96-+8=m3DWS+7ss(J1CHELgbU?;d zzgp)Bvb)@olVnoI;!k8mdz;2n_~7RG2*}h#o41g8Cq@=m!H#veLdl=%E)9@ZgwHF`vmWiDfQ)i zuh5qz>~|m|FDc}bhXWfY)SK;`p-6%)Xx<71DWx( zQmcB{eZo7L99btn2-#w*x8`qP^5PSh$y>klen7^f|C{k!xaLjrMbhr_#%{=p#7$n& z0DlG+$C57{JUbwB%V4(dJGg@<{1ap)|1HyOBrCfk$RBBmEs#mNzJ5s)yy7wO7`e*5 zpaHTnt9CDJhTv;LAEP=6i@j3k=KG3?vuc>8gS3uX71=-ovgfYy2P+X~$HN z*1C6PS|RQr^(H_3m3j=>ln>7(KEP9{M?E03AVvKF`Q_MW(U0)e>PtJwo#v~HAuF#u zCin?X`kCtjnYi9<_ekqnasD>g_N>Z*ERQ{$3t2zk#S_~hqi}A*_s2oU(g57P&!5a5NY{DM)aT3{0dEr zIVT`{JAa^sG`^I!q#N_Uj+>8>Zd(N3k^Rfd7xthJmfe4poH9QDHF@FFJB42KvX7zy z$s5-VUXTmJf6n=a{?^XxekA{P+bS|oSzy+8^y*Vfy~z`N-j7Mu+PRWH(5L0T@gRq@ zA|8-&`}L;(MBnB0Z3nq^eR47RTVmt1KJ*;1$*yGHV9`C&qGS($Kl)RJa$Ctiado-m z_CsM42hcxvSY}768+2!q`2f51KC+OcCGmZ4~5HIBgZUj z2O*I-j|PF#tHAshqDavzI-^K_s)V3{Y;*yE2LOE-j@$MT7Q`EqksP(KCtGlXG&8DGH&N@zXv;R(gMZL0(vY zWv(##9qQ{2km}PXRFk9q_hyNpPx$WcL!P)NT|ru1cp)i@zVi&bhs@ZgQBIy*);WDT z`q>)sJINL?tNUbe)4yqA=*{2exss##Zu#Wf!;%6s&~H8XY%7VIIBt{gWz~4a(L2rj z&yJitav_U+U2ZWB*)=7j8zi83NKP7L@?Bj=NM*+vYbD`hgQwRZyH)PcFY@O<)m2h3 z?BmBPkdfk^{YhpduQZ(rHA99kLH5#-tRB+b*vU{DzLXa|2bo236`ka}|NQl2pk0M> z3}kc4-?xz)!cS|>g3opsM?yy0_1Al{NHIfA7OL_&ghBSe1ffQ9Y86*S4j#<#4Tend zb;WveZdjAzY?!<18}>kEqEciz8Tf6v*gSao%lDm-ZLhj^pIjefBQzg+M)GZgO!n^k`DE{^ zy#fkQY2h44$huCczfHz>hx01Jm(O(UA;Xi^lSOJoUmYiPk6UkCfc~T6bv3=xe#U~Zyj>&;i8aOA!qv}cWKlxA&nTFI@F->?V+0>mhW`Ex&)mCN- zY2n;+L&t68so5e0kn#QeNI)C%eLUbuK762*M;a!Gv3y;Rwle{KI*^s#>KR8b6 z$fj@9f&A^8(;=JtP;it~DJ@^C3xBcuQy_D}MPY~(aA;hm2e0czCqj1HxIrIT`{$?W za_G`@Jq|JwS8aRALvaEeeKww}6ra_{Z11xE12>1Br@ zGcl^WmUP~oC~piuE?VyoSwW?V&&cDw`LZUk;rXt8koj9FQ%QP7)k>Mdg54pWkgeaY z$t4Yxy2Mt(!+Z(ukcs74Q$qGtjtiMV<{|M`juY+z1CQ+o^?4edt@xKi9^*G1#$RV7(TO!m1naG5P zs@CwBlOIc}*e`ek*9^=Qxpeh4p!mnR@v6q|I=zpYCQ-MyEF$vR5UNm@RNfc!Ldj zrJgqfGK{zEbqC~qYhDeJ`DVvfZ-uL-XkUd)?w2opWKY}Wm5$Iib!|LkGp_P{BPRsi z<2Yfy#lihNnWHQHh5RS^V!1Q48VWuQ*}XrO{ztan>Ckq;e0FSH6sa3!`GHJY^H1Fs zzEjByhivD3wAkciLabeEVF!&J*T8+JBwgSfcP7vNPfvSMP-*4$)W1 z7@HOSkTF}@x6%vB|GFMeW`DE&23fo30!H3YIi~bHdGomU7jiPM%j`Hfp>nz}#Op|v zPe}hu0n+i%*jL31vXj<*ct}<*j1^CSA(KsaLq@lKsFeIxc2ndsJaBKT8)WC45iTNs zu75Q33iLET;0*CNAEmow&41046QO?dsV$KGoxsTbndtZ z*9DLXZ+U9|@9lfDZ{pnUGXf# ze3fEZ2ANme{)uG6BldZ2q?LwS5oE7FK63XK^0MM3d^u1iuzd^pa^r;@$ZlC>F(DT& z78u<`HvD(%CS*1=xr~w0@nY7uVS(?H8<17l9XL$3DXCiJ!MzhdCPAidICg;CRBvj2 z2fn@aI{~umPh@^4f0{cQ--Y@HA{QZ(E&2E>$$59c;2u0uqZA9-k7+HR$?ZF1bn@Xj z2cwga>CzhfNIL&Y(i+M$pYw|`*UGydKnD5P){uL52+X+;!wpM)AzS*->nWK$FjuAo^Nbg7yvR2v zBOd)fhv-R^BHwWMwi~kL(#d6Hgz!euGR%FyPTD~p%P1-$4HNeWK7b}$dh&&H=~_>cpErhAxY&E|XHdc%mpwuFNy8z`5~aw~J(Y zfMhphMm?VyRKkO1L9wLpB()C6+Wu+Rc>*82zHpLM%(nOhnd9N38c*Q|r<@2JPo!@`9W48L z-Iff0WSa?D)5`+?$oDa&)~_)yvhq$PJr(5tkb_cht?FS#LqsxU-E;K@Nxl=`%->+1 zamRr$)d4n&Ww+R*9@w`p=Xg;2|2^Wvy zd7C)5?|3TL9g2;ydpv;EHsbrF={~ySh&r)9V8HzQv zB$Lt4V+J8Bf8EHU0~Q<_yiA&HNdEzuTIDS!opAB2X_v@`#`12+uDQK`MHfs=Q8)`3 zfkTZQWTJMo?ibjkwBi(L!1R5BY-#Cr&9AUG$Mytd^p6X?CvO{8B zLDurWHw$}U@coFRWQ)JvYsh@u^-ZA{PUIv9lI#9%cmY}C?~~?!gIg+#{2=3TWlt69 z?<+U!J3P9&&int)4SNjPpkZyvA8_BxuO5)uk#^+)X&tm~`cJ59GhruWf3D0gCTnKx zn$|})O1nZP;Mt3Nr0F%5zaMHkYHWq<^R=D1WVAy3!~y8uW@!hRf!F^s$)uZk|48p0 zZW{*CciKv(k)ey8{UN1!gVy{)pVPeL8oBLa`ylxs;)2BxdLt)`D`c7G=nqnBYL3Zo z^r>wwmq^hfu^!U;=93k}=o{Sv&ysjbekWvHR6pwefsI|Ur^xvaOxsA)+~1lbIG5#- zd4l|p!}zzc_c_yX7dE=@RoAG7q$k6vyCD-#{SQ z(4O{!{7|%c?mwJsiV-|O*145eL8ek~|EzJCFQVW>9^h$w3|Wp-?9~&(QgJ>N&Olh(jY!HfqXGBxB_xEd)a>{+ZxrSCS%WDsRtKGyEB){A$R9DpReQx zyVYWRko$6;0c4lzjqN10FEyMYMTBqPhnz!!k)KJwhHXOp&}^-~4rJ1b#J7=g;yMews8r9ddkv zdR~!dyDCN?V`_SJz96hAIk=YmtY95L#)K|Rf!wJh6KhBrx7J^fE#nrG2p)32Y9S+@G6v=CIkmtjgO$c1`AZs-MvIC65o<|DG-L8uq9 z7WG}?!f>&{LqjqxK4CZH^o#hNBWn+>DI@jYDRx1IUCW4yK%1f_J@WpHyKay>5PdR+ zEdRBmh?Lo2*bdn>)l!0@@VY|37WwkZb7#njo}3y3YqjLc+lPip}(lMfUNP#*A-+!PS$tw zyJWbOB;$jFyTaD!!7LrxV4bVE3@U0p!MduXiUMpDV{g z_MGO#5>g}U{b%y`d-cV)9;nyggZd5#J$x+A=w(XlQ3%@;hwwBb; zx)A`Gq%%P&r0*Zw8ZysYZ3uEjGE05&n>)5)`o%!EpnyG_y4|fwg_TB!N#|SA zsgTRe8>}UlM!y&)hdR>a6|pbIfwdxw9&h$1_seM{L;N5i_>7$Mw_|{OWm_)00Q+oe z;>^i^iu?DGN3K|2hTKSAg-TM{`QLZQUenJrR)WheMR}6f1l=w|&SgIXE_v>~L^l~> z`cq69dk$t-8<0C@Tz4ne9XS#Ux!RvMm5@?aOFAIy_K;tAA#9Lo*CC~2OSX|ehtHpc z9Q%!41?2fE^G}d*QJXtO1${(SWvD9V>S{^ZenpuQ%vhFGiNrm^kHe|WU zhakwc$tp}IJEzCiL3TpBiNazSwMup!DUvr706G5@UZs#C?9Cd;M0JG@kzQN3&RGKe z3$#{~owCAykXwHCOCnj;`|v4b=h3kx8I_zWx)gHxf|oAvd(CA6l6CQ%)3X936Hgs(+)Q9 zX~OWHTy@Bqw=&WJGMDD)=aR~Y#GA-@ZQmzo!N^Tjs*ro6^qMWnNE~J%yCupdlQivH z^agTz74BPWL(PP9harpxWTM| z{hmP!N%?wP8_1NJsU0N`B?)AZ$&>!8gWN@drK4n9-30|h=)Tf>9b|*EECR^|yz*>JRoLzXtgdXOWl_M9i3QcNE}t}?&e z7t-PIZ&4HM$*+I4ob=Vr+(9O0A3IHU@j4bmPNIkQe`HCk@HA8G8PoczO{QOd@&%JQS`SA8sF8Rj7y@~8j=1erh zKF`V0i%8qR0bA0ou7-u&ChfFLvhZf`8?uaN^FPQga9^rq4*xVw-9QegcN~Ts>q`$( zNtr2eFUfu0`~E=Y>6_K_EZ|JN`D@7SNn`$yo6Y+!ne5+v`x#mFFme#G`!%=At%A4X z^)1Lled7BeN6PKTWzwv=s*>cNoALuP_~$!wHRKN4n2`I|FWw8eqmTG5k)ld%T*#hF zxZh3c_Me+!3C->Ht{}^*&2~YK-P}26$<4?AltAY3@aqn;%rRTo3YzDK>yoJpoVP>n z*^@e_$QhqS3n9DHw&xRRRZ=l!4SX>DswT-Fe$WYWK73t&g0wJNcn31lK?O_J!cT3d zH$$$L?(SoxbC&TfNcVNUBcJ>IV%EWsrrL$%k`);?kkgbBa+D0_bI5?qTu;r{WcjOU zf5~d&E`{}QAfCGpa>M?`2a=&azSkj}{M70NxlmQ{Hz{>>e2z6-{Ht*_KEXWpc!;*EI7?uiO|Ojdrk{YJ`cRFm9@ zeR~T9jK~t1|2)V^Z0UK(Sbo0nfIMa4{e^sa&^c8X}xmFZ~t;nb+5!+#>@>F6HXA#*EZE6RZmp^1f$l{H^Gs(+^uilVB zGMWD%cT4awC3~p$-_{L~-EX6PglxcR1d6yOitq3 zgXAtArEBCJJD%s{tE%Qf$PHAzC$|O8J9Ekcveg4S_mg|{$_ zvVV0cnzsK-G+TyS<05An9#%nWS`IbtB~`wKEH}g)IQx$ z?up+uYdiL(3K*M_<4!U@F z0_0@+bv_`i-j#oWjIDY6^c^tl%6@%PZrpMwIm=t&3}lNh=1toPm;Z@cMy^@w=1OWj zFo=enn{y=dNtt6mKR_n3qnh6x4wzqGNVNf0yP^KZTN@ykC*$}LQe}!u z8fopR`wFtYwbMsPo)x|GJYeqG$~BNvIe7ITY2p@ejkJDZ{Twnsq*Z>Au2HAa_UGE6D@!w`Qgh>3IFv9>{Lwb-X|}*=d)P8c&43LXPZ$uhaeExkHci$+j<- zcalZ7X9@(s2DyQyq}2YJt&n-}I`ugDiW7XB^txu>47ryF)p-NqwQW-ulNygd+d+1d z#DfshGVD?oS@+rJE#z!mxq6&@kvdQL5cZf)9@{{c?QA$gsyxk2BbB8iUqSA_h;1XJ z%a`Tz55o=1#n(bs>gM-@q?bU|HIlpg+H=U6^6bzr(q^H}>?7E7F>28&vax%zFFD=v z(-qPptN01zc1WH3Nv7}dln%lkgQk_H|s-PjxkIkLZ( z=8(^A1sloM#~nPO*e5Abu0j?ch}%S#x9R z-P`NQDRZI@K~7lk_8a8C5BjyF&kBiQ$h0T^m>UMI#;PpIJ6lr@K(1Kn;UsdO%%*Dc z>7m5~kdjTLzduH#?3>qn zAh%f|`vU26HoTlX+voHZva_6Y#3JCcTu}q^lTgo2$k}qZ;tct>Chmp~*GP&d{f4~NP)Le9hQgU88B zYie(kV^`CgA)_%hgf|L~?cTB&au+se*po*VObaFTj(283c58q6Tk@(&{5WZqvR^qG z4l!06At%mRA&As|@GlKAuVyvAB6l9n8zG0AqUN8(zP^=iYssmX3}x%8WEJ`G#U@`ePj^WoWF+JGpOOM!+kTQSZAzqLuy6j|^QPov zUN0|_>unwf*(tSi9+6h6BRynPRK56V?5p^aZAgxo9p6o=raGU4jO|3-GV+M)^e$59 zMUTiC>?@b8)FYb?Uv(pUnhwT5c5In-5qa?X!gf-0aH3!=_K9t1)gpt+3Y^KQLT4f& zGqz{4t5?0XRYON|uitKC8#HOdHstbI~Q4w*2;p^@CROLM|G?0Zr) zO_dy;*R=^U_d~eBq~PoLo8)2x-+JnH%M9U z=vwk_joUEf^Pm z>Pjj|r^Oe(Lrzh&m((RF^wr!LGBq3LdXmz4BNxa)=1n=|UfXl)EBUeNxL6##CFNoO z*>%Ts-N~R&(_=|Pwch)XQ0iRVW^&ng{4WX2BinZKQ#)%1P4FleYkJZK_*8 zl3NrD1rnhBu`?Qwwf(f)k+d=}i6Ar6XXQao9PdywDPi-H_cGk|AY(CP%w$6C$$K6S zq2$mT&1}ehsxH((Du;B9lMX#xC`iRgS?{KR14Xhlsm)Z`hU^#X)x4khZW?U$Y0@4N{dP*llsnm)sR_Q z^=yE=H}8gQI()V-$Q*KWn{D@z#Y$?I$xE>Um5}B6*8ZIw)hm_CfYsM87(>p2aW7A@ zK7TG3GIK>ozmj`A--z9Wc~5T{KyJT$ggdEv)Fl?OwVk>pVRrxqEjNI+87~&O|`=t%^q;=^SX% zLYB47nv@OG^@kQiPVA+Z_M~rrMkr*~tO?B~OA;I!$UhUbm|O6vqtHUg&hSb|C%2XO z){$ZJ){K(cM->%vuxEYe_*ybbqbUF~sxfy`$fZNkHKdEljv=x?amAcme4Ra$q*jvx z8~c1A8-43pB6&dk##8dxwxB-9`BQ2ua~r;!ueOpj3KsB&%<`J{I8s2f^bxr|=0Y#z zTD5pd797$(ajpksQ+|(}BR^ZeDI?{xZ*@V=*2xi~cVLW*%W|^xzU~glbj}bv zO$vJV7LgB1D%&B~d|r~^UFaATpiPcfTf0CuP+cX8436f#M}~B?wn9#@VIki=cp(0a zI_W;J+W|70)|iBohUv3%$x}i@jgafH>*a)e*my5P6|&N^LT$+}2OL<^?2%?B8K5lm z26FU{b&ZiHUUC-{U{9uYf;GAIjPGGG;k{KVnQfx@5^~ohjt`SPLyhu<*b~0~juk1H z8SPJ|PTY}9syMEA203{Jl7oEu$vg8mHAC(m-^ILBpzI^Q#pH95Hap0+ zdfpEq#d6MNk$HbT-$Kq^d$V!!ZTxKIsnGe$@CL|Oo4!6mZV%5&Bb(~OUO{fb5~mTe z$Y!Jzh1t5<)8PITrB#r*{gcO+a&>NM zj}Ux1c2ry#bM?*khGa>+`fgJE*OYVQIjzs7kn4A>tdo53;i8BLRGRIh2iXzNRc@qa zm3#~t!~eGsa;$9Mwvqeua;A!6kJ5OA7U^N=>P#L<(2FGHzKGq0+(NBy@5#2%CzGdR zkN2x2HFAea;1)7?&xSB^tVksXaz2VpY9u>0e&7+qo{iTERY--uXEu>C`X0gLfk=~^ zkh}Erta@_B{Gq>)b=vn*aRwBu$yiS|PYpc;IY)Ln+#rq9G;2xEfoa2#`M0KPt~k7X zifc(eX^uYtxh7h^Nu+hCRW;f3P+uB=%!>oMLNGSXxWOKJT2}r}4>B}_8!vi9Ykke$? zeVkl!^6_mlr145KWSk}ad1avJzIBVqb!AHSkUQ%yPbhhRQ%e^4<=VZskUcbdYMfNn zb61`PS0CqWgq*66GlNJExq&p&&!grQWZEC6j*vbRg6GS^oonsaLT-7wdH{KIU`h&P z=PmvGoZK5-_KP%mcX75HyeaOp3UWSrt@0&P@5?7b=B3!*C#39#w?F@%6LX|z)7Lo^ zVM@wtxq6XYRxb{+TWZ7}kv}EB^^ntTpNP-FKK|S!Lo#Y4U^mHYw&5IP4#ldJkzd~P zc99RXK8Vc4zCzzZJyNv%j2rn*(jx}43foPJNWN>c+R6MszoyD#-+<{$E%IS#hBN8h z5)uiSQ;H6ENpm;NRi8s9wZ>*niHBhRelZXu^!jSqwDjIaB1$WSAzMp7hLVZwau zoBZsb3h5%>xQT3b&I^VNH#6!cIeDU6J?XD*5u1CO1nCNFb62O#&Pl$q=TIA!~6 zb5bgK*axyBzv~i6H{+}da$9iNcgRtD=P0EFqvkF%hRpjtBA(>Jg0B}yKjv{cIi z!OWB7Kwy79c~jD-Vt)*waWR6v2R-I)wN`gMnC{*9b}yXxn{)+Ye*3h-XU`5=GNIuu+QQ` z!7B1!&uL%MRBLx4oi#1HAhR-PzUWeTx_(TL920uyM!vMW9Rs=iIgv%= zwy)dTA$!tLUr+;@oeWTANaYDF;Hy(N;(`a5z~Y5`R5HFS8r^uJ88PXJeJ&la!v_k zJ=^|#CP$R&g_c8+?b$kzGg277jpXllI!XHL>J&g`eT?WQ(yXdmKp$oZS7<=)Zns27 za@|$`2r|B7T^?jD^^{x4$dCz>4B+Fcmc@|sOE}-2oNX5q3YnEx-LuK<9h?R-NL89y zfjuMafHE0(zh)zOl_xC-vi!Ee>Ey-J_I2cm2K7?9_~$L~>PI#8c8i%e4=3#t!Sr7{LYk zVk=1nfp1=rxx4O39Qooz(j&6)eLyeds?FOVVGOmms&Gh=+q@o-^&e_IM{-sdmXV8( zo#}%3fo`{`3DlM~Sx$=B&e{Q)wO4+{kb^&Ji^%&*8SRkUz^M^X6gLPAx|BB*9f^@6}Kmt zLDMNws*sgfzulJnd_kWjGh4(n$-iPh>LEwYy=shnm3?i2Ih@{c$Qm;9b!-lkkAfDZ zLhj>NlV6fw`9BRq_F&T)re~opcmUtRr(b z`Hw<&cltVo_0ar-(mFC+enKGRsQ9&{kgi4dYRGv%P7OgOpW{Bq8oD3ktR_QBX8J+y zglPkbWU@)kQ!*_gwGXm0nvTkBfGNWED@n#x-5YYcZ%m0N-CF*81eqMwvR?9p&qaxi z@Ozp!hnzob;Q_f{m&>0g(}PFLAnW+}O&2N5mm_Kei&sZ1C!J$lc0kTpo$hJ!oVZvq zWMX&rwv)M6Dg`&e#BW!%Ay-;Gz=fReZXHGbD_nRFvb#nnejuIHTls9EQfPrXL+=1j=i$!okJckdAV zM;^@RSYVHRK|K$w$>7CthsnTw`%)pZ=icg<3~0PG;@*(8UF2qCuFCp6${TEk?AShuW2AT5 zk8E<)m#PNH5iYT@al!R3{w_L79$UeeL8`N#>L9oIVeu$=Wa2pmS17&Ga~))}kFN|Q z^{V8qlNAEPHIQR$SvN$Mp3I!H4KA%cwi+^5gdP3J|8aDu(Nw){9LKkmii$KyNi>l; zeb$=!QgxdpBpO!bGKwf*mstcRCPEfjd7Dd<2Q-ytz&xNmL8M(A;(fFpUcSFtzY zqw$B|z%+K<5Xl`rCojL3d|4)74(|xmA1B!z>oSty)$_rx;r@L4ev+9W#?Emhwap|= zVE4)H!z6#A{KXX*A(m7MQ_Q@3NbX*Um9!I?Rjy_PWu=APNH*21IR-|Df32 z489ERd<-k=3O|#~pK)=bF61|B4=v~(ZDvdI{x22;!#&dkvtYGV!v~UE5tS+IN+!HL zrvZnjIM|S^rKN5FObnl%4%@4K)su|kq*tT%lNH;ORbf=<32TxsEZ^h{H_lYQ4ack# zsUf*@F)hpi@=9H<0@N87WkIrOoA!Idn^CK;!zIsWSCUNFl)=By)1rEw8`E7Qi;Im0fUi&J2k|)KePM%fi`OWscC(BPE<< zbPBj9P^QPa4ce>!Cw`cEqTb`Q;rlzE?fyS^JvmQuNlPw1gf9*sXol?>YsPy}Z@7Do zCY-qN-wrs#_3aswnR)we2FVZDFH=84ez-PyE6o4Y{UocL>oey#DL7_}3CZj=(C~oU4~BaXNk zk(_p>u^Vh0o*N6VsSXvvQsVM7nxq#g^d(S_WTfWW?t=|`1Qva=k zaJAq*CXDCfXvBcWE3-Q(XRdV*Y-pRGkQ+sB33Ldn%m z!O-@Ieiq4l=Fj{HXAk!YbEJhzxdzE?K61kbe$6-;0EJt&q?7C)m)mA z#O_MCTxaliYTgeu`q4*DFSwHGslpbvi zPi_9-4&Nm{j3e1Km0=}t?gZyPxbJ5 zk}nafeF(#>)0?5^>7ele)LUG>TN8>6E#C=EwIqT_w#Vm327Gk)c_VD=xH=|~ddL3r zREJ7CEw{pzu_~uX{&CCbG-xgUu@-JIc_es-dU+8Slwnr6vlY}DGVmeUAj4UyaIepw zH?ZbT#SqC%`F&G9h-_NuXHN3tj&1XVHYtmf;p9)Ev)o z{*#VPC%OBZ4mH46@uosy z6iL3^W|}3ull0RYUau&8$4YmB2T_KqzgX`n>vx4u%UbeEc6z5`v3W6T^q^D z{J1ZEkt~)E)`mSB?CnXWFM34?45*y;2u={`ZYKHjdN0ODlVd%vX+qHyubm|K`Rm3Y zXgp6X6W-W1wuxkiBR-9}M6NG;tPV#{j@U{vwK^`RpoGV&G?C> zl;M24TUI1je%{{)etKq;3O9{kQcbeoG$#(jHrEdMSaMBffjP;PG{t(tbcw^saB%Co za+0qOmmh$MF9qgaCiji3HzB$Iv@<+l*TLWfn3!t+f@Ie>ujqxg@{+US$Y}F!Ba%@) z^TG}0{1{LQWJMFo?(_*_<;joiI6L z)s!pL`Ozt}0>-HgIKcgztHNM%=&c-*U-8zz7499sT`Yk*vox11g-ORJ?uJ?E9l_AD zp&*N7pUGVQ2#c%^i(IA7I-hlm;Ef{r?eM~&Kp@F~VC&PNsbfY1lt~B{N~F%l&-Q9C zZ34R)x)@0Mk!(m{_igw#{Y4G*Y`-ROje2L4y%k~hMk`B_P4TPxokVl*qg%4c{F6kv|X|tMxE{!zd=4PeW49cGfDO&TOscq0>3+1J%S6u z)mljA#q+TfZj#mGnl<5Hjhvk%AK(}f1drWz$%JRCS2dB`2oc$_spJQf0d-h+sA?<8 zUeCUD3JQJmPlI2lY_B7k*%SKpo>0;`BblW0{)5Zm(PsMrI4sQ0y+eLpA!$nT>LhJzh? zG#@wNC&?Z$`ZB$eRPf;SVR=%t3&|XQ<8~2>39ikD$qVOwC3)2yLsP2A%yTs>V0>xX zUXq*AA9w-Im~NX3yDYW8knB3YDHGq2%agt>g?~Rh+f6bCq6z2V47Fp~u*hk{Cz2nC zRvK4LWuB8sEyKF6#_MChe`rYV?hligR zKPOr3kyn1fa|@5otfS658}n6g`dP&T(Bk397?SsIeP0M?$!2|nwQR_=dg}b%w|6Bx zdVQrcoKZ3(l4OHN^ge}iW|y@?$#p4{8mQ+H$SsGx*RA)!nrih>l9v%1_ZXg1{oDdA zwmzBgo_Z%Eqn5xonfrIabDvh9CE4pza~{A?%LbdEpF{Q7M(Ulpdgnhl?e*zxaPhYt zr%7H;e(61!U@@s4PV)IWvWa>=w~JKZm)f{Z@ZO{&CrLI&ef=%iZlmy)Wa2LhG9SnT zSq%$dYIEiWxO(P!FOnD1c1VHp4!RZ4Fns!7lH0`pn){Ko|N7DtI!{YJLb8tfC$7Sm zUYlM*)7XW5B%@IxEc1yxDbTVSZdJ}bNb-5ck(c3bKi6j@_b|=qCmj7+c1AO~V9Z~A zl9dQLl}|FaA8h{$U%y#0wS_DiFU~?etu`+(nX2nN1CtN z2unR>I4E_g{|3qFR905Op25_A@RFRrTs!qxbDQ<>t*7R3=$s;!L^1;v?Pc)DVE!Mt zOCxr62lZ-f4y}c?$4w8z)cbN*NN#K+Qwo0#)c%5*>i1`MQt$89v#a2%qjm>K#^at& z3{0w*D1v+b{P+g@RZFLRrQXf8i7R3DVNYk0Q@>*w375Q6;o;&DV>+Oc(#J_%)SbQY z(Q-J3yRe63T5mXq!on(p$1v=l^k=w3?$3m8)SbD$VhLOoaB~;Qg)N;5`^Tw6-4iA9MS@;U~@4V@kYWSz$s7 z{MvP_g5(7xEdD|XR(W1Gp2uFHbtE?czS&?IeS2FaVhd;cC5j?WtX zhukP1vXJD~n(f^Jll@ov!)aG$+$Gt*XFcyA`|s6=e)6hBiW12e+wE zl*2o&ki0{xRw*rsNSrI&!w%|L-+^QKN z`H##Ws$U69==xE9auy`3*u;24-BEQZBvY{Deg(8!fA%kQ^01pHNLJs}Sx53V1rkSL zcHfVyBo`-D`VvlCl-LJ1J9x^BB<0Upt|8gJ`zr1*qjq#0$+!)Fcm`$WJ^BgD)?An| zige%aY(Vl8BMn@k$aCpvl2iWpJ0IQ`s`v^oYu%hGM5e6wWl1*BZ>uBxeq&KM$$ZS4 z@B}9IeE9Hg=lia~08}7pD^GdZa zF=LdVF!f%wHY&kcLs=XDKhF;3Nal-$<4q{*toH_Hg-8vNe0F}XoCsN0TecqV7)m)# za%fklg!MVqDbh` z701J$f=4D8oN#?-dDr-1HS=JYJtsJ;T^3(0B-a@0mTg)Wtgmr6r!z)uJUMJb)B^?#; z+LnU9@RE1zyvek_=gy&Zu&%=NC|vtRE|KJeB?Ml5ESCZOi`#A)P{{_ z-}(@?yDw@cIooR!#!Hf;9)4L21?%}8aG&s{GbH<4`d|iJZMwFRWK{Rh8#A3u@EckP zoA1|bf%mG@{7GK8Bk(TNkhHBOxsIjUf-}gATc;>P9q(@&VN3ioj%1JJUAYOzG#`CK zGLa)U48h6smE@(!uvMeXA+xvfILYrjla&NDABMapxdpHG_QTGGMV9A4_sAXEiFy60Roliw2c9i9o? zFFA{xe0jAV9LSx$k7U<={Tm5qkFVxQ=8y874*10M^kf;*&vl0m$=|-L1;KD)#E2}C`ITS)0rpmB2+t;M`+_w{ zUTN+g8z`;G29UJhp=3Io@84Yy|3tkQHHW-fbWN3H%RhTr!=X`Dz9chuzS?cL(r|1I z{JQBAGnceK^;m)AZIi<-U~l$5Z<5>IYIq%*2+35!XVd!s!ik2J^X5_ai(TqExZr}{ zQIhdZ+Lj1)ix$6vPTiuv;q8&_GV`gsd2aq1xO;t!JIO`by2n8!Uy~9joi@LlWUsv* zo*_p*`1sBMUYwBbN-{z!LD7(5cNf4?=jB}_KkMvN33;+M`#THomzFq^+|Txea2PZ7 z_!GEI-lC0UeOD=qFCcH&3u(ir{!Mlyvo|XHJghGWeF#5(a%_f9J$mC6sQXf8rY3x} zqHhPuU9@?91|Igho&nd!`ZSVk+@En<6=@wmx78oI=smp)uUlNKCHaTk0YN2lUHlql zcpz<#70KB)405o2p!z2KC35!-$yRFy48dg^cgic1i}oxvCz;=2lRTlxy{}1d^!uXM zB>%1}t{+YvcVvzVb+R?ro4{j63Lfx^y`4*hiQV*)IGabw*_5Yrvew7#le7*FAvb3q(xQq1|G+1{kz~5z?T}a@$%}_$)Zx z8t%Ou0bEy64+;e!O_ zL6Y-)A~b(7ncUX24(=ZH@F>ZO&kjq3**Z?I;KnWbze(n+$4psG@??158aU?OYj=|W zS$91S3U>IEzym^Cx=GGhO+#u4xqQWVLm0EA)soLSONJjwF9woTux@idn?1d+g4U2uku{Y2QuAb zQ%SCS_|qF`G$UsSj?j;g*P+KV+U{Zwr|(K-VRj2_z?ADE0z6xwQ8{>%e?zmaLDAF(TP{Pu<<1V4X=U$?W?wzZj;7 zGC%%5E7VHrQg60Fx*mMDJ!l_1b!>MO$z8mzzi?`wA{|?l^?zL+K z45?dUKSvQpa)TBmQ<75c4QFTExeoQ~Pgj!s&z>EF@IQg2^H-6}Hw0d}ayBf0%!+8|JI;ky=f< zTeF5Fm+mIHA6i6rN5iQ}FA7Lj`^mK~xVgqlVh!2wZ=){Bc#l<3#yMuBXkeBJ9F-8_0j-MnCXjr2`N|jYPTP!Ll4~2^E4`jv zGp)=Bim9cz!KId5EXn?Gwl0Qoe(FC+Mn6_$x;gpjev2MF@*;O16l#u)BKe>J*F1P= z*6L1@JH24`lnrDr`&S1(vwPzJAG+QSBUy>lr*dFL>h@NWxu3a2%!2&+a^g}L^RvSi zZu?shO!9rRE@we0&BGr_PTh2!h$U%cC%*`GxCm?~*{v7q0-*WL`{~dq?`#9fl$P2F zZ6u|>>!`tjQPVcV-J(BzN&fPGrMIE&n#3BC%iQ28U_~~0SSrHcb1If38=pS<1gv=c z;W~7!d{{{`d;7u$q3^KM{7vN8sRm{w-=QUa4EC)2od`Eum%k!8C9fO5q4cSfveu+? z>=t8^ozH6=g3fQp$3vZ_))JC=H-hhmLXy!^n@J^AH$#$NZD70~Zr?KZ63HF7d{<%% zx#xa>F3DOx-{}NvDwal&jBM|ur|`FMR~y_psaSj~d0}z9Hp!c{=f}aycFf zkDz0)U<-6lYZ$+cOwP{KBw3BJb338R&pkmTlOd#=37<@u-UP2K{58ggdgE8UREMM2 zC2fTj2fR;_oZM-vG$?Rhtq$J5H+JN9>isPKqzntn9$Ud}Kf`@U##hKC6^>u9sv2gg z$qbWxp+Ud=4zhA{r8z8jP4y(XVn4rRm=nFN9A3S%cz|RB3Pk7bByHZcnLv%MJP(o? z5Qs^D{8aZB@UWsuFUc#i^JncM4R#G1L65!f+(^zR=w2+8xN@c#YNgozAX&xd+S6@m zeXvkT6#O+kArF3*J=RI`$$A^6>?V7xlvco{&ZG8{9LF_=!3W`4Ik4q=NGr*T=k67= zBh@NaE+v`t?issbiBNAa+%>)|3%*fF`AG85S8^iuwrig{O8w_ z4p$`SHjr%etw^Cg%ZeOthREY>@vNOBfd z+byBXwk0RvChv(iU|DEKCCTb16%4|g*|GEYQfJJ|LuSyv$@CbMVdSsDfl&fwB)>wk z?l=6XbzjzzI;ktp8pGu~><&TOgF5kW{85SLBzr#kM>o8D>$#K@byU-@8p7zxcR%SFsJ{|8=WFZc5sXSQz-2@vmL%X*C)P@ zdTt4?wV_zXb$ggx>=Q!rDXp6y!Mx7@THuPIaT8pqyFj{C6DrPmx)X*jx)?;Vww4Dn zp~>boO)$}U&RAFKZ96-t4pl>|x59micTSP~go4v)u;kf}I+EM`MQh}K@<_k93OpzB z)e6SWEb<}QtEzFS@S?6qHOZXYU^War?G`LJKstJi*Z_?J>pe++W=uvhJP{vUPIC92 z*bhM0@)dL4$hmX@ht-2a+-!|qT$-i;=7z-Z+KPo1< zw9pGb;M7Ft>F(r*JOh1_RjHD8fnqhkqhNk-c^=6yqi=S?QeodIhsfOvwyq%gz@>}! z!W82P7hvwzFF7RlVjtfMm!FLmJ50Vl@3xd=i>?^&hWGEyJqHu=|7DTPq~f<9p=HZm z5f4(aH((L;|Fd&D$={i}ED$=&O}WMcd9#Q2`f7GoPY&g>Ke&>bXF^aqrJxdfq|Dk$sVVk!sW-tQ0;d3A(FdVx-T9oy)t|b z$8`OX@}y4dV1*$p9GAKuhDrHdBI)`I+X|ty_Tq2Q$Xaxo7xhB7wCO@kr#vT;TODvI z0vo;c8#m~SdQH9t@s~27d&zs$=r&4e+tfj_#h2x zl$@_4`J(3zBYjBKR$Uc1vv>L?l8f*Au?7}%GhN07nO$$zvMeM>2 zBy)V7uot}S)SL{PoO8-a-tTzC06Z7vGS`>PzPQSix3A!K_1>2i2)AROtp z@;=FjhR%2oeQ)&$1ycX=tygMr(xc?ful{p zRl>QJB>!ijQ56hZEBlY+^w$o|4x<+7M~c(C66In-@4`9*RuU*^vYCW{1^RnT`r?f(DIiw{ zA@tJN{f%T!m@c1oj=W(qbtP2Y{N0J;GWrdi8B2JHt%mG@Q7#C5>ck59QXu>VuIZ!^qSVt}4(c$Y>ME8%D{V zgyRwiQb{iVPE|EL^61tulrHvPaDgnWu-QPeyWVSh!L5B_DJ0V&&`}OYG6e&$bz1D) zaO!QDd&m@Sn{9dosxFheN^-%5%uDE@U)u{8ZcCpPK|K$Lpw)1-{qBRX(|h@4l94e+W?t$^91 zLia)iLB|Uu^JlzXE-aoV^#z`t(<^q7db%oQOQEe{%5IpX$DJcNV^iyFXkxGa33}Ly zjEkn;f#WTU;BWuj?QpDbWFX0OUUIz;cP1IVhg+`7j=n^_xsL|a;IYE0&9J2GmLJJY zt@XbHEt+lK!82W&BVwq>{}xk%tpXjEaNM|p6C^WxYU~ZTMCMQxys2sWkL2&_%E`r& zx;o5yl8dpdJq81}r(c7DTZ77=$-&)!NOq3b^4XV3ucK4flFZ$Z?}wm3a7jGOicEM8 zD{deAMe^b|H_VJ9)9x#+BDwU^Q3v3g;>Js`_B;D8_DMX*gGwrR2x{il4Rlp zrJUj5xZVi3d1~2Hczsq%JIVLTbCa%+@hhyCliY!2>U&^{zDOw4+S2j}{@R$^Lb4Ng zL{3N`FC2DVLNbfojCR5J0NJzfa_B%NlnbtEB6%+H*4V40%Ps%^NRAB^y9b3Xwbzks z;nn<+iR8)D7!|0N;l7Dv-sYH`gq}t7Z$a_0;cAkf)bef^DmUF*aE+YRdu9X4UH)h5 z1>^r{r@*5VrdE(_)70++@cG1&xk+S@T!Jad)T$mk0`DtqxC*ziN-s%1%xF{};i?($2Lx%vEXAN*6jPNtTud?UXG zY7`5&lluN!Gvg$3-~f`SW~|S^nti zSEyQid}=*;yU>Cq`Pl`^jxZ!oC>-`ZZOSFN!WY?J;GLY%i47$4*l`)jJ}B0+gJ-j( z&cou&-fWWDomch=&Q4Dm_ny>G;}(^H zFLEKtR^N5q0w3Qt@`ur>vUf@5;EjQIP&cJ&L=!2JbW4fkUtaa!2&Z4L;oy=u&6_0m zDMsuKoOZVTAC!*Dm-|4yjPRKCu+q={ILQ>AH%WpkgXh17*=L6T!1)31W`Cq!kpI24 z&@$xAVUp7en9>6!k9?c?i8>n&JzE8Tp15*=WM+6Bje!-;=0(uTL-9MwJG+mRY$keXPq$gODT%p{TlW@db{uV43kA6$CE>dnx z8+mb>u>v$5J=cO{-iZD4g017;roe!|cPdD}e`LU4_>0*&ubpfk)LKV!HGjm9!rY$D zt1#wA;Y*VJ*nhbX>a`t~=^)3qtXo4eFPh}tp?|$V987Gfdq(mfD)0YiAv>T?TVw9PQxuNWJq=GEC|r$*u_Q{RE35%Eo=8j+1Z7VtCY>+W|XI zS)YMk?&=vN@8&Af2w!@%jQ&m?L%ZCCaPE%CEzr@y)gQjJG`dT&k!G^BaFg-Ch#%Au zH>^^Eh3u`3&}ErF2PZGKxk>VpI+|~wo}$B{xrNhYLLL9&OOT`Z^vrT7MCl0Wn;GZOx~e~yP0xA%0A zTxtqCxtH`xkko;zV!HQ`?4heKLgBM>*B-;80bZX;=EC`nqJ8A6ChNkl6Us} zcov>>c=UkeIM)jw;E;o}@NaUQrGWJNEq z=@wPk{hx+4$tx<4_k}y>x85ST^Ru45g_+YXGW}%L!~+T>YdLL=1Ul5AS_Y+bL+oIk;@-HK(ZZ_^G*{|#8&JiSaR{vW|GCd}555rQ; zyI0^y)qql%{NK(Vl7FqRRC**CIC+v0$xV{{dH^mED~f?H`Y#ue?DC<*-{Fehb&{jV z=Z*4uBqP@>un#7^tc!%F3-0qI|MJ<{4yb<5Zn6;RoT;Njaw@kZ93U6*BNSeZe*Tzb z%|fnzhJB}wi;gBQdRb_ZjEcLmEnKs+=>f?9Tt0KRIR8Sj^KnRgxJmU~LWWj#T%B9|weQlYCrr^IItYC5I6vSH6!> zAi1waE*5at^Htu^;i=4ZlHHZrUja9zR{n)`7gFbmP>&DvTL*=Mw;hEoCl@D@yn&PG zD|pS1t${bz9dw6Q25aL;*3M{N35-%3`U#ci*UT7CJ-G#G22gim zpeuYTv@4qAuZ>++0F!@C>VjflzD}J$y~g$;7QU>AbA-~*JiLjl)GVCt&>~yRpxwtMpL2=UTlaw+Xc-y-X#=a=y zNOm!wauY7e=iZP^{sZeF*l<~0eiB(6FJeye%fefZ!{x_wli(z;$k!xy;DBpC+`h?Z z&SY}tW?2)G-D5g%7%pE_bpVM%hsw_pvDSNd*m1H(S82q3wh>S^h4&GVo2FgB-j)O51-ZlWs5$|rhS!(EY< zz9e%oP~|qv_Z(dV+gv{|Ge{xZhYBP=V`G>FT(H{7o22vi^smE(sxvF0;_SY^@ZRXx z^Q5Rddd&58uxo%jN;3cbwN8YWKd8TgPE{hmNj|o!MP?@XEjxD&yp|g2PICFFu5pkF zH7ddF6X&(Fv&g2o`Hm#_d~8fOoH2Ot39R_LwvA*{KFkxBAwO3RErSw8HFhLpkd<~G zI^76-2m@nwHIw|+;AP`w$+Q!bHQ}QJT{}oF$F}$kOt*~BfY(6@<*Aq5lP40tGmG^_e5f$`PG&pl7D?A_dDF@ z7bz)6x*l@XBe~jxM*HA)E7>S$Vl=>$Y`kGr2b`#IYqC6bI;Z>VzVghd#iZ6E(sLwC<)?ng-0?5oiMy*6#`+ z`C-##>9Bv{P?X;R)xPu#9PDVzdU?N_C&MUZTPTiK@I#;FhW3ydQ&p$ z6`5bRCz_I~!)p}YHvO4xc}+91ib?EE=TnRL-FT?b$4CLSf(2MawDq0(f_ zSI}*u%5Rd<7Z@$8LMAsit%2`8WV@4mM0sc&Y)W@5f&F*&x=AiEUP?-pto7+NfKA?I zt|WWFB_$f}apDS~kBM~`$qZ|&OQ?|_wM2Ab^Nbcpk~b2`4Tn?5L_Q(8{l8t>;Ktfj z;tRtNPfs?k`GMV|Me!x*=#R*14o+14Z*A09`cLGC5mR|B)eE{fhV*WGa{K}R*tNH z4RgBh_rv_EvvU?xFXpwK3H+C<;{m_NNhFY5=A|E{FzWd89{6$ZRcTG?owqw~1h*Ml zxcz_DP>v;;d1^w%ut}`xJN!44CAoxp-UA_e@NC=OeNf@~$|#b%SU4jOhNbs(z#q3? zP1d5W%eiD7XyJLn0mgZ33L}{@n-=E4w+6zkaGY+l=u+x!lg-hB5~2~daFMV}Fv)pz z7-m7qce6giIaPmzmr>8;euW0CzjD(CR>b%QkWBOOt?6*v-bD>?+3pEK+SI$Y{);LU zUcpog=MyMkQb$rzK2;=5XR zxUVuj4la8dR05;pc6XC}{>9}|Ea~Y#)sW=!cYk+<4K^jw(AzknfTVv|O1iqVZu5_k zPSB|1eK^d2```&I$vodi@|W*Ah_580&gp8CT<@{z_Atx+*LfJd;pIb;H8x3VhQV6i z?1Ob}e%@iBws?cY9Xgr4~q#^{r0?l`NH9CO`ZD-1g&eF~m+ z`+b*Wzd4oHLgzI%1Pw^@#V3_XCRTNe6%?AF;RE0Fk4q)_vA;gQf!iyd3_<_WD0xHb zX+GF*4nHTX_JpT{XD5^FyrX|#!>7C7^g|P~+jCY?uV&dP6WArW-2+yMFG(PI{UNaz z(6FJs2TrTbmo}o_VLrwP?v8VJgVIqZu_Wtoa(*$KdVKghY}@osay9j)>)+FZ8QN#| zL6_;aQ6wKUN;?lu9Gct-v+BDhuc2OEaj_0meH!lob7PN$k?j4`>vQ0EPN9`#emM$? z8IyaB8nj?4n`sNZ6wd{deB+osS#X>H`;p{IJEw`PCAqghHK0mfsSR|9OAH{{!;zlp zP|U}&fn*ljs0f*mN*hP3!F2Y6H7uO@(3j+sri9&wlNhHOlJn}&6EG#4-bg7zt*5;f zBpY<2%p2BTNVyJYd2^K{v(3SJ5DsrwpTCYQ(iSlz`OO+FN1>;5ZX#6p8}W+dZgso- zh7TH6$(oTC4`qx=_DNd5JIuIL83&hoq?V9Oh>Kr0JiKX})OxZ-W3eI0&r=fJ4}VQ* zi-x(wd;!TFZ;$SRi>llt%*ih~#=0aMkv!K4YKHs^ht)^lJ|P(=+q-S>-`W824di#d zo!TTnQf8?=^d37YgyeQGUmwC<4Ta6Hr0DW^3oQ`2D4yYIEICa*+rBl+=Wf-=c|xp2%1 ze)inpLo)StN~!R<>8NTr!=P~phRS5gTT$0>Y=}8zyB$19ZbH3oGTi-OdN~Zc^{XEm zMZBD|iMr?ZCz-%&_TC;OW4O*L0gfE|N!pq^{X>t8ph(>XHk7S-}oQ#4e6t?8SJaLUqc)n}glr7X%YyPYQZC*TaAh~JD zQDN|E%>EphQ+Stq%+e+Pc8~$p+x@B){Nk)I+?O<3Yaw-ev{IdB-@(J~tBHKvc z0Ev6lU$Cv$#gVD1~OGx(q*u-vF z^y9eHF6va(SQx_UC(8T(KPL%Yg3r%36_EU+gV|kB%pp|5mO7_&9d+Rjc|9k1RZ1!X zj_m7sLb9a|ui9Wwd9wI!>a4tZLL2skY_f;K{tH8(zK!rBlK-gR+zgwS_0{qYJemi;jxg^e8JjkRDb8fcE5Q{|<$i+$$^S~q41*uN&gGC?%>F&C@S`Ow zwvWtGmRt&V%5>Y3tlXc{U}*V1F^gory!QMEFQ-_FxRCeHsw{#FPmJD9@|7Du1i&}T z9;TC=j!IYqd^yTV$d!E5p{EAL-b-yJ*;5(4zHoPR*=>?Z4oazk?)y1`{p3`nbIOBNbd2=h(TEN#AW^gTK_9zl^OIuCUXoPckWLlnNYpTS5Qc=T$rYF!gr0q-(-Q`awIPr~K|9lDjIoJQKEkpV9;)tG!-(v_{y-TUY%l5ul2PlJQzigj@6f{`PSQ17qgdu4d&U#1oGs5<9Eawdg) zQlZ`@wi+gQNe+{&txLE3QPM#Fg*nOm*0|;gwWfI`!_nU?%i)bil>w4}n>TvyF)}3T zg9*t^4|wPSHJri{prNVL3uv)Wzn5e;PM$gIIBD^_*N9|H>&o09o0}2~6|Qi_B<~So z{R6h!sZaMLpBjnilU)CjmVMA_LT(iFABxB$S-p=goiO;pswrM%O0vufk}(PFcYwY& zm0>W@G&Kj_o#WR^^4db%#JowBzC}w(PXEP(-SE-vFTpVOGM`1VLR|Dm$XL3GoFGf} zjTe!OjNIJqP-t*40OoX7r<1%u*_{TMl6zW+BM*h`P$RiScdgA(Yqz)`{Jx~~Hpz~k zQCI`d3ttxSAs03sQY0D8JX1@UlqPoq{^!r!AbI&cwUzMX#`Hlrs1P*&B=s7{?KXpR z2epsEzV}nEk?f}QZ?E8)glE5@k?$2*U+RspJ8BFw49yQg8+pZek{1*n`5Y#6Hgv-m zPcxl)Ek1Qid z{!xs|Q#i(JbUVpCarz*BiVRutP#c!XgxQm{o{WhAXT{{?Uh3=aN+2pyrCtNZrIvM7F zK2T0F`o(JoV1DwPxk2Q$@Ie!jzp@a35nD_$u4@kcfMb`KP7fwkr^)G)yxE`OebDjUyC}$I-^(NEprkXM zF#L$^lyhX{ChZj@J6CbaUU+iaw=lT>PjL>(bd<)o!X?>9#LklwF0Nln@*a)~yWwps z!E^ASWTCSp_S$!=Dk;0^#{XKhsGjVpnMce5{cu6iOOQ z_EaPJ#R8U_p;48xAIwh|x%N;G@+?jeONaoX6sT+{5 z@2P|%9={qS`P7u;`4`ATM^Bi+luetCkz9r5!fWvNRN*o>vG3Dws9612Hk`Uz8R5pT z#(&=-l3DF$7!UQ<&w38E)c$lsMbQeW2- z**li45|QLcxu?2NWzt0_l4<$5KLXA#Sp5`g-<{n~^6!KHibs*6+uvxziN?3>NiKfD zsSubuVDkv3wraMJ?7Ske2^UG#$aYOQ_GJD}k~z2|CJ0vRxM#xuW|}mSyx-q>W24Ep zwL|JqD!XPY$=O7vor1CMfoZVJd{-SwZyc75yhMgcO;&+MU0XqM{FQDpW!-B*wk@98CpL+TTZgeqU{Etzn{+BSn|7tgel1^ zV1IbP?=zn#zXP;kD(0TpKJd!uiPU?hrCB3J_Q^#wh)e7kJMs+XDyEoWY=S%t=dJUI78RVT@GoVzt8kJR7e zzXB?#+w3LzCJD_8BzO5ro>)Hl`pBiFFjVj0Zjzm|VC^|*ATTc*Zm<3Kkz@|tdn-~v zo({ab2===KY$y3Jt(}4J?8K$_VRxVSdy@N5)+tm-?usr{gK6HEH0M)kzIEO z>IlidBbh7Z%!ne={(7w<3=dAXB>9h4K_{T#^4&M!y~)d~NbY;%lz;GF!MFLvWK7I6 zGm>oS>a& zb_ASZ82XgtE-N^;!&N;iCzX@K)91~ip{(XvM7JHSa z!6Sw@>fkwrlOtbIPgP)x3fx)x-zK={&bX5#*YEc^6-t;ssfJ_KqlQWL^qBn%%E*Wc zqYcm_Q`U=QJ_ijX!^f^wuuW*qs$^DHKON9n5EftVk`mmQ|?@FAV{(@|8-M11>eYnb#WR}OxOoBBB zhDso3_@;~GM<``ZttS5)3SJJgo;d6#x#?GQ;-SouiI3nlY5{kUX!LsJi~DIV(#+vC2TCh2*=`*)$7e(YD6ExBj>N9tSB zYOD<(70GRb*HZ>glDy*nn%hu)$+b@;Cn9@Hq>kLvy=gvlDpl9+Bcdu&*w0W&_!k<+X<7n}SyR!nZcFQlXmezY3B|AMvgi z{`_)l`e(8t@5D-y)$rfu3Ek{@{bYi@OssI$wt!PV$L#>U2-gJC$u$nIs+SImfk0s^5IF%@ZICi313Om z__D<$pYL{IJDjoXz$q9w(ee(-t^B3>1!@(H5^W++gw-u1*=4)(w!kU#BTkS^>3=Rc za6~g(2P>{m5&A|tg?G;*`BM%Rw$NnOrDG&lGur3CMJrujLf7ktL$KXrno+wq?y5x-!pUzmgv8EPqJnIWsd43OPYe`!h87+ z8%gHo37r5qXU)Xx@UU9jYm(pculOI-t3Efoixj)K-;(4$d#&+@*H$Q{!#YK#nq=p< zzWW1ho@UMbNj+l|L)So&36hm0zxY*0FJyB{rgzi1H^*9ZUGmR?clK|ng9bY4Lcgi+++<-5c)X>-7P=P{93%Oa zp;0%Xf}Pttl5^5oF3?Yw{+%`lMn3CZ4~wroKSHuc52as$Rm-@SB-0^dGXxWVXebSk zwOL~*LbvM}S!JkrE&Lr>MCl(1$m$cj^xkV=)eucMo zoE<+*<}LEnhGqk+wvlY!o0(zo*5#qwB$Mj><`WECkty|k2;8W+< zz&UGuec?nki&T<1_IGwAJYFQw2R9~um_G6t-KTWTT?qq?!#$yg$c`kED}J}M6pCj| z{t4}Tx~7hzzN8gTm%|T|sk@a5ZAoUV^YdeHy>j|Z zIP&+AcO)EsctO>#MA z4%=Y(RGlz5_+C7ZWEbYOeu5*96^l%uo~IV)=EIZI_iu(PJ5~q7e|KkPk^HTYfA69F zhIgaHsYiHb)?7I0--(UTTA`XGHDX&Fs*wT-0{79C&>?HTs#A}1|GT(?bfbuCb>GXx#E*at=7@H zP$vJ=c9K4ycIOnVTN`-?=F7N#A(<1c2BK1=b-wf>IOAB)7Ls3Q|Lg?3By%|j+P5CA zBRTG|wa^suQQ$lc=)P9Oj${w3d^rYlzu&zH*X5mgM>1BY-36wS2h5G;K;db!8%Tbj zx9%~N=`^Xf17sxVMShWbW_Y%+%0Rtr5~x!U+d zlIa@w_86w#dGG_yiHet!r9M4-4+GdZ&D0%k?vsxtx!<{i58wdz>N|9_z4704>g$j? zt_MGTwReU(MOu+0lYeMJAr#s0{VQyq@o2mp^;tEX)rPSJp4*^HkXabXX<8`e!TxE( zpWxk=HzG5r@9V0q!6Xwkd2trZ=$iNe*57O!B~Rzuf*;R?L6%7yVWzlu0LfixU2`33 z^7G4aaKz++r*UpCbrLrwy#hXxnlDU%Um<}f&Tv81sbtDH#{+sxZnKQ|ERV8ak zE;Zx4FYNd9O@;Lu7L_o1j7lHL*1r~zQzYdsd{{{`_U^f!FkUM>36=}&C?$F44@-YS z#e~Vyv&dE3yOxvO>m^Tj!{9#`;-SdP1CK~nI@z)v-nW}GNr{}lK#(Pwh5zby!isx& zXP`z*#C?*V<>1l`Gi3C|l}UlVDY_)r!gp_n>I=Noxm;u~Vy~&;AyD}EW z!dR#AJWNq<{!Vfeh4}yGkr~DDdT?T*hcn5FI+;d70d<8!*wsJym1N#OdNp2yp)tLIR+d`_}7l;-bZGNN!2@L}mfG_-Wg0SQhozl4QTE zN%DuU6ur~ox6f;;Nv86S(jYVlU=$aUxvOf|ko*kEY+o2$ADRj~(j6;FZk5N9KA5&x zQf?7BIP%9zk}Y^&;tAto&nLmpTYO7NCSsArPq?*vwzL+RSSVmb@=KyV?1lnsa^p!Z zerEV1_^89F9r|8bI!T)p;3l&qJ8fmxPFOPP=^2t?KU}yE*IYW#O!AihMmgz_pYPV4 zB00mzygP8AZNwKiUBN|kF)7&2E+X0H+$j!F<7D>?NGI=JF89r%yVfq(|y}vbKQ5>GKYf-0Hm|X|PKB%k%%|5rzFETl(~j{8IADd3Q6I zX=~(7GAHKAroh0qzNheePSr1x&pweMvy4nxe$*KDiQ0OQT<#amL>QYi_6hvx^z{eH zp3=Q9#gYzvF$OTXXtz7bu+he`aJ0D`4^w6id?)#*?bZM3lWniF;oQ({k~1`UV+ni3GX3Gjx54Qo+qpw$5Qfj4sJMd8tM;|7foc`SzR)u0Tq?;o znC-8GZ)U9NgIynH$r)46?u-9c!i~P~JmEIYtR#|sH*lg9W!6J14CZdtbo*3VLPfSU$K zhLY@`+>bfPLJtqlSxq(tTWx^FYt%TBO^_UY6}o+_e@QZW7xRapkn3rsHRQ8-J1tFcoo0C$t{${Y~{0485ec`E|0tM8B%SqLc8)IQohz3tGg63md z;ZDiM|JIQe9}4wIer9U4Gd$$7D-yn#yP}ZfLItKbLD$0H<1NWsM_*`@to`~c+u*$M z0b%gXXWKlINjW>e0oFK(jYJ-#Oko>*q`0bUTCA-JBL zQ9Ce~WS>OVY=qU;*8)h!NcGrtxbo+wH_$kLA+v!r^dGN6^4f;YmT-;;?@w}5tK!q) zs2GoGxWUDA5LU`5C|XnR)o+7qU{}E_Uy`xicOwuz}dgfn)SN!w7bj*g-c{5(9gn`EZszln#6p_z~11M`q} z*e0}fk}dVNzSm*lfs~1^Bp1K2?Frxtgu)B%9XarqMoAsXUK@2@Xft`@ zo{t99jaX|(GX7SxgJ9tlflTFQ>M`#V3FL=SV$2%q#VvsC=3;G^_QG zgndaH3Q1mYuX+>IRT384PCbSL4cc(et%7Y(aDP-7$&NI3%YzETh7It>qiJKDs3$49 zcRtKn^?Wnbn2;V!@)BQ;WWmtO8$ZC)n>7S?P@jwX7&r%{eWx&hWX~Roz7G4@ zU2kB~#1)J)^<_MjRe^uPe_O)bEie2@K628PboloD(Q1+lx^6oNtsUnpx{#4dqULbn zz*k?A9n8F+N-_uk8q4h@$3B-cg%6Gmc#`}(lbR&BY3j97II24EC&|&*2THq=VLKKY z!DyB7dq{T9=Wp>aKKsEVl8N??Z-;Vf9+TWiZg?dN_dSw#CHbdk2G2la(^vONPIdf^ zX6W}RNZg%li?P>*Pi(ZDNLEO7LIm9Px#bSY=%zjV0zJIXitZvS=6EiG;a#g7NdC^l znW1oB&`=J^sjPfc2S18t3hgGtUIc59tah}69c-}H34+I@CuWk&%ulWFAfH++u!pqW zac&ODcg)_u0UqgC&B5~*XI&+^7_WaXp|tk9At)k}rL>p&q#vBHfH48v4niMG-87Op zA|g=*J1X1z;gh5%@*dR3TPB;qnUj6I;g4qX6q0L5QZ9$uTSxT3evS7s`>4;fH`^G- z-Z|+38xC$yB$-*u^q#;Pu}Piq@{=D@p49g#q|^W&wMlV@E5-a`NzSLnf`=DlR9a!h z#*q?U)YmEfQ4flJ%5{dSso{|%leKS0A+%9m)&$+!CX4N-zORK{+AzT5={6X$AT^BS z`bHhhgQ0gV8{l#OIb*!3uVuC10{C%4{buM;k{3)ecVi>6V5*JF2Y7s%zMv2FIe(g> z4vkW~H0Lq$Kb?}fBE$t^zK;|sr{B*Z7KcSwSyYxX)y=%D<$>n6r?14!Eeev*yR@EbtRs56Q4h74(Nry<0 zBQ`9__~>i8!d2p9qoGkr<9(999CEK2?%Nn6?oT?5+pSA-cdAx6LErP!Bj6^h{yQWq zF|+y$wEuQR^f2{Y$_Q8lzq#5uz?o_bLZN-9XfDaeWHr^nr=CSZN62vHI1Q3h?B8Pt z&F`87L6JQ(GD$XW>7RG-HuF+|Bb{zvn?o|q$Bu1)gDW<3Brg}nO$#{`o)ZW0S%!JLlGB&+k|NifXGOwNL; z9zGvPW-Pl_FoYEAQC5fkw@28J{JLZB1E869&UJWm;N%;UJ5aWrIYGJ}(o=zt^(I-7 ztkl0B{?L^#O(&U|5h>Mhl%d}sG#j-}F_ipUqhe0-)yGHrK{1n$sU&xM((Ovv_BOl^ z=A7Iicak)>U1mzM{?bxjP^YRZiDW90o|eK+`_!M%Pwk*|7^(W%(um{@Qs?Y}kM{~D zkeutx`bW^WDX$%N`!Lk4q8a|sxg>sy`u2Am z(uLK9>z&|(LvtfYPH&!20gN2}^aXl8xFZ@tec$&*E`l2Rt`2alfMF=f?7uCY3vUPZ z)WN{z&xB4>-`C%18c?d_upO*FZXHB&&}tP#@gjqVSJd(D`>E~Z;0eAq^p#o$X_4QEuc~acaY@NHru4ZCo-B<(5`;W0LgYF zH_D$O4{o_g@`PVOuNpAGTD<1HGV?ZM0 zCfPlKwqNIWl5EK((J3+H*?mn0Bon1r|184fsKi-cJVj}?;aK<}m|Se>y@ERJ;O5Bd;Ka(CjwxUMG3$<7eN%-`bwcS@K{1DixBx2W+Ml6!9DKheA4U(n;21bY?Z&SrR-5dwm@g z6RFQ~g^oEi96iwwKDpDHO7c^W7gs`N#koF`Tl?RBxpU;>C#y|iYS1h%*s|_l63JQ# zzAJ^wPj3ArnH^Clq?5?9<=c#4)F|COu%!CG1d^YAto;%EZ1|*|jN=bKc*GWCJ#D*aOdwQ%`^)?}Um;MmV;i9UikRn8cIA z6QbxL2KxKyxvMK|J82jVD>h6kBDt#3z0L4S^)vB@q-4ZpU6K`FcEkxbiENC3D@*4U zkjye4kwz$D@I~|y>HP2RB9gbtJmUbR4!DOxcP*n_lCx@-sfQD?`-F-~`#n_}BztvE zh8^tr&IQ56={A`pb9lREE#zm69r>7KJ~hrEdA)P@Hb5Vn7!GDm+I^MeEIzMz1*b$# zABOpM{Yp=$uSu%f0;ZK+IY=_PX9Cio<665aD9tPwfY-`J6-ubDJh;gW9?~lECOH9t zxD+_;!JcwhvfHGGWKDEt$d;0}eFMhu6<^~)GTwWyCBgu;V^3h;?@gT~ACbOrN*Q@( z`*=e*LcQ6Yr<7I;U;&cjO2eQ*ZzdP-C5Evs7EF> z)CgwUJMMwkl$RvH%C{25Bx@br(GJb*OD0uQ&&#RjS(3L|JG%(J6%}ZKmQUY{*Wg@G zjxM}q9_9oKhPOwM?3_Zq0+{SGsS%1U=oEcPeSTe~i(upR6bERw(=U|dvlQ3mLdh>G z_0T7Ir0^^1GjRE+0T)cZZ3iP>h6j=C`lKD1kTqLY3uA<(M!u##tD3GkFzwXS4KP?Q zl_UA3LI#d*J=?b7kL=R_{ieK=I&D9we(}cqb8- ziAFwwM+$d#lFWG@gDJJ7ioUcVG#>ipPVzn1Dr2GV{xqKCA~X)SLal}k67R{pE9y&0 zw!}%;1+wa&BVj{bK_SVsCPXzsdq+314`jdiavhQ%d^XJy?u_dVgTqG8^GNRRi1Y^N zSaD>`N3z>*;{uYN8`ZFfX8%M&;Hw*7vPeeLr|<)mpC2t)M^5N;S10+wt421kX@_he zd?x?kS!4LX397x7-; zc{53!VQ5z@uG~y63v0C?x!cCY2VqffVj4^;@~R@)@ds89Kyl?+3N2(?*RUDMv?agw zhU;x_rNG$=C(21)zItm9e4ema_B-|btazLV*90d$A=#@2-kosN@R}*Do?R3+ri0GE{JDJr9CJg@9;2T>{0Zx9;Fb!NK#~tRKJo^7+jAC*dk^y5|ln zcwKkdVUn%vo16iUTIlzd!sVVC$6)1<=h}y^-V|O&1>5OJ057u!v-bQwtoR@7kzPxOuEwF3DVf zX;=?u9GxcIM~+z1t3mRnqn_Kr!mP_dFxLG@CdqwVu(1~AcFr65n>=|{M2%z}oW5*; z^W_RTDEQ&bRg!rVAhfNuLEg=UH_SR_kV@kz7I_R|U(9YzCl$ zyQabb^?jQ)b~TjfZ1jdM=kBGD%q;7ea=3Q-?jCr)a)s<4>az)+ZUX(y`#s>(zb_I= z?r{E9tVr(q`c;Ra`h=MoaN4`S)g-GC^m>qF zuI6s>8$m`M(!L1CYKcE1`AJ{D_rZZ{kK_c%Jv$OjNzUg#FE6;^gIO}%6rxy0vN~&r zf5MD0Z>2|)SMoEBNG9M&$R60Cvo!%)_vjRp{DYelJK(IHZIeckVG55~lKWYA&J|k4 z?~jIg>(&&JY~WO-7U)y@Ph60C^dsKs!sL}%PViLUi3qs9Xj=iv-|*FKgb9ig<3{86 z>}X#Ev(le9z_V7#q0nZUPcF$`dt+V?2Tv;t3sKLiRUa zSVwXvLp~ft-n=k3jbuj+g;kOK(tM`@>_xXPRTx9wQk}e-WLla!y6NII!SJ^j`I{za-eCMA(T&% z+C{Q?&Oc+JheSCKM}ACgB^l+|gA(J&1_P_5aQ7HB7m|&5EEq-dh932W@VRz=6UnuA zM~ICllg_*7Kt*SLN0MJQV`@0bc0B9OgZpAC8c61Z`6c>@8r^@G?7x6yZWph&C;2k} zxgpTlNGKb2{QUHR)GMRQgZ(xDsGe(>& zu1ZsZ6(fM-TX+t#b)_M z%q?fgJR_NJ&wBe{WAJmi|7dS&o^A?j2akBcm$x@2lbp7{Mj3oOdrUVhZ2TfELA^59 z3XR}p>*zi3toW`3k{NhsR7`S5f@C}3N3-9PBxzqc`UOk!g?xr9ymH`ZG|9y-uq}cC zKQvoN=Kbxl6DQI28@GMch5FO(JCR&WV@w3eh@akFfb3{(+=#qVTyETC>U(&O4B-cD{Z!O7t z>i*dhX#lzm8i^F-?|1^Kw0RNkOYm6M7FMAQPfMmYMZMBCQ%NK{huR{~Fu^;iI?E}dg zdps7LLHV~zk~+!#*S+6{WUQ0d1R@J=RJuX3IpWM)=uq*Fk*B?HRF(?K8*{0YAJU4{lV?+E1bMlXJtW&* z>6?Ij>bONQ$;GZ#=|FxmATW6r#_;OxM?Xj?yA|H?=wklG)jFJCtNk zrJTyeT-MgP9(n2vR(LjLy=PLIBv*O-rya?ZtS%42ym=rs6Y~cCU@de%U^P;O&V|iV zQ-gsWg4QHAF1?2 zB9F#r7l`N*Uf zf|_)$yDCE+_8&ZILvpVTYy(Ml#b3=EnCIUf`xaSg&sTb93;p|8`MwIt?CXrNg8LJ9 zA12vGE8`4!Us|pPJ}B)UgmaEoD=whx1Wm4*ldQ*xKtGc6xM6n@^Oar;o+0O|jr)x} zy}3zlA^n^aDMh9v_sb^Ei)5e5?M=qKq|&5}Wab^8(T(}2)qkWH(VQ8mF(T>D`Pv?m zdEs^}0a;6Nb20WJ?F&1QN5zkytVO-97R@ZlERo_}krzIWk0$xE{vJgn>$cpq1=+Dn zexf#AS9WDkm*nF1zH&kyoP8sLWV>Gn6_7lC&b|?Qg$-KcbSMXjP0%9Q=CT$Cl35w> zFcf*x%Cou1V|(}2lf2u_Rl4$c|*f-oFkaIqM5IGfCcbb#N_|lyDfS zOLMPh+G-@f!%y6rWHi`T4l1-ix{5uQmiP+$mF`}{nCnWdR$f9mu3B*&$vVUjA4I-q z@iq-gjlER`y&i`QklYLZtqOXSRkaqcCYj)_i9Yblm9`X;&Di_6964@UQV;Ua*ZXCc zlKJP>n7}j>rF|slD#n~ceq8qM338TKRwuHzZs?R{WL3{LLz20dqPq*3bC!rBxp#6M zJjp+>awb`VrG0~$&r*`n9=+BDMm$iCBDrtABkn;x&G$_t8{L*Irce8}ODA$EW<+QiHTc$#?*F7&- zk&OG|1Ba2VzOBoE8Ru1NFn8H8>MvY7u};y5&RwjyZB8?o^J|nr! zMN+?!ja+}qt)QM!8s(&|tTI2gx%Fr%pB@n;W`Wl3jeZ!WFsS;Zij03Y$A|CHYocXbH*0 z{`=&F+;Znm1hVeF$O7bWRo6z6Yxrs~&Xnf!lclvtKFGSqf#lvzcovGeYI#~N=Kg_) z>oI?^#9DY2%@z98HKBK=@FtQkbNL)Zvcc+iGf8guhp1ZkFxqXT8O=GnQgR*{V4 zy66FtcNx1&VGVijvC(Qc;jpX^$!*vAoq{}bxT>6F{PHt;NOr5^QCV}E&rq>7AsO#R z&3$l7#MpC~Pv7wM3G@=X-w8Jt#!OjD$_DH7H|_A~M^@0$6i0e*Z@Gsco!5PEF^$@H&1W>0c!$7~Kk*2`O%jXc7C{6}cJs9Dg8 z%;|ifPV%Bx;%!KF$2N~ZlHsLIZ(u&?{pwxMHL6y|LSQuj#4(eh^#G@e>6=16nPl2jd%)eb-C2(wpMg_8{5JtrUg z%LRg;;SA6EG23abF+G0)$xD5Uu!pmwTtY~0qK$qwJUwyhM>xK+ThNL2VL=t@BrCe? zk`407{zHKzBbvSb2FZoF&3%hJUQuYo4%$c5e^Pjnn7~s9vjra zu#?h%NmksbN70#7{aI;Fax!<){7B}K$Ki{Rm$7~ZbHA$pCVAat;TbNZjp=7ol3OEw z*9+E`My*Xp?=)P4w7AB zuQAz``W?oM(I>f|#a~=WrZcoK8u{q*=pvZW<=#TF>G?(z-SB&P$Sxt7?J~ce;Eu0V z5%6zPMgjIi+mANF+2Xe2+{uUKnpz}N5;=A&$ZkAAE@O%{sPH1DmItH!S)9|a7jYEtOxaOaPTmJf>TZRL6Z{sb0qH=KKKMm z7{BU-w!f}V*++f8cY_Q`W{#KrE|OoRs}%>Mo5dcItm%c8R_xtf9!hx9_4yKKm%=^I z_qmY#nV3~kaJBi&doXeEZxi;99=#UxA}8*-sRMNv1v`>_f9IBPl3jI9J0E&Gihm}V zMKY~p_LC={K3V_^PAA%v`~g$15LnY^mJJ1p6hD$&sn4*WH#xBMtva-7%d{a`>9mkQ zk~eqXdIR}})Z(`!<5M$ngb#T$p-lyjU-8(AV!suq%}0^0Ufvp@iRsdMGsifbe1JJN0RuCj4<(brbZl9Ce&z zYNys^!WXY@*TT(5PmMf6eY}aY8Y~oGt)XeA)KQYl_WpSl-kMkb3L4a<4wLMSO9z!X z@}|AjI+E_ws~v*bHG-Gn?XdbPILj)3faHsq(+Wq)CwE;|lblX~z7N!2GW7!d)Y4rJ zH{7b|A=z!Nmt+ITJv04HNXEZ@{XQ5TKldCIaS$qjnW7DyB+r-JnG#5{ry>nWu4S?7 zF6b&?7zZUYr5{4Iojt82n?3KD#4*yLE^R5v9Ev;a0!MAJj)Hk(=iP&^p9p^=`7Pm} z#ezu5#dmc`?&63ujFzD*1IX6SB( z^S4W!B$=-19l22Y`;&UOH!fK?i~2P!eKcX;__dp0QMvMQk~@BU#4TuH@V*wx4rhM)^zody!KF;>}~RF z$psUVI~{OfAC%RwJO_{eQ7wT1d84{Wc9K)wlsxj-+&n{)328mG3(6-r$HC}r>_ez2 zKBbN1ue|>$kx%BwmMUBuQvM}Ef zditCWhiB&R%qMyIA^p#AMZwgu1*Cw>uLUF*t5InWA9Y*`fyd7IXOpbljtw8-I(hZc zcgd;MLi0%G-q{8l*t4M^5T2Ebx{WMjmHmcVOdh*W>L#5Em z86-PW=SU4S@3sC5ld|T`x<`E-yF}K)8(LrdV9d9>7fHS~^~^JP%iaAqOqMp9ai9AB zzLi-8%P#bJL1p`@WRg8KHKPpnyy3b@X44s)X+>m-x#kL}DLQs9Of73nAbJ0&d&MwF zKc<7^28VV{en5UIU7-&|3@!8m=FDQA9GIH0_q~;KxCY$aLS$umyEo|gl;@bu}LdXky9`kL?~@`cDTO}MXQ z(>z$E4Qvpmii4YG;24-c{7P47o32FGw!;ddmQE;=e8DN+^GSs$Bw~9T)F{ zD;Kp+DJ7GbVndQWaX)bv9J|Xaj%0Rft$qmYdKBB>{i0!sGIHhaw@XRhK=qajyxJQQ zMRH5iw%+@{+ZKO=H|P8};VEhIu}z0$*Cjl5gk_FN;UwewpLag|R=4Ie>_4kCwwz2c zWfqdWf@G~d)T_w~Avv3f&}`^q=J*jNh%6ahL4Eg2B<8`!zz!QYR=*^WWVD8pZ$QUF zpSSRg@7fWS)Te1UTNVE49P6o_S39EtMnz#QY+30M&Spsho)(k*n{}xj@V&sn$uCG#-cq0Biu~ue!9}`) zF>vbW`XZ>3m)AnF5=SE@R+F(yU6zo{^&jjGm|QUBG*tHKE`TePDjG?CS@*?pHDp!h zAuW>oy=DDYIG{53B#dYoeVb(Caz53=r;c}oUy?g#L~4?ZPy5bIFzcMbacFHTeT(FG zEB4gFo3ATJz9Q|4xd6Ve@#-2Ui1 z@O%Fk*|*eJkymH}Wdfr2!351+=SZ&H@As5xM1uDGBJAGLa65O&7R~p$UX>xld9sfVfNX*A4%@Z#+9Q# zlGjD#=fO3v|Jaah$eEXc@Ug}98*tQwptmHm;`!zgb!30SB31axRBS!T%ZRibhHqc- z8Bpm=LJi4@E#LPSR*S8gRZq@-uCSJ5ryTj~2OCXaUxY>?H=mJ=)Gd_`i z%e7aL{5Jvd{m|;+_heXhDRvkSe5mz5jOj0jccSnW%W=k_`YM?R`|C-_aw=!aFe(V1ynlfp-SHq z;jh%kr6+5`o1Q+Kps?cF<0MnlsC)~Kxi#WFe7F1k$R_GrCYPfIkF=k(hHXjPkCNPz zO?ua$*z8HKVbJ>@!zBCia;fq+vd}4I9ZZ|)cZg&n8!axwqp2z{py$?+e@On7+DC{=k0<8_7QRLlZ?wlC{)L`k?g{AQzTnSN4xH&Boi~W z!Ua~;UW|ex6As;j%Qmk6M)HRy&z;als(c;2nB)XvKRLp@ZFj;UBOjR$zr5V}nPihw z492#T-CLv=l1#mLk3GCpUl{_KqTWFo&HsS|ay>YoJ$rLEctcTCu_8x|Xm!4;kJi9%;29_ysf1y?5##x=z z=N+T577DK)bAV)P&P4x)A02kh=%Vw71C^Tghh%xdqJ zk$q&Z@T^3i$wjzW{2tFFN}i)OwixxamXhvD5Tua$q3Ykh96Bk2Z8@F6HC z=x`af=4-zo8F^pvKd{oMRiU3u>3_7Ev^QTe;V+%Hk&#>skG|+|gi|6* z!bxuWmh<_raJuhjxVd5N*dgj0abfmCcx9`=7PwyiLkP)?Y|P1qw=af$gs(lEMh{b; zyyDV%u)b-MElj@L8Ax&t&Sf`X)WQpIVONXah=0^qbY-0?{Ntm#9&T41b%bOVw|~rl z0e5fLz@A;F{*wIbxz4kg<8;4wXxUnL@s`v9k{dky^CE0pR{jjuF&BT6?CXaIXN(}L z0<2cSXNGF~N#@z8(dS|Hlln4Pdpy6JL$kwM-Y9#a5Kf{{jH`i&t zh6f|Z{(~ZxUzLUFoRIwebx`9?%pv$RZue!9b+$2n0fnUH{=j8b{R$$~XPI2R8V+r_ z>H{aM2VNlgO^tRHaAMkmUXs)H8aI6m8LIrv1e&%M?Slsj;?9w*!NI*HFjakJ7s=EQ z&zL%vyv6@9gdqVhcfoDTug8)6ve7{gVfguzO`6QCPnV517PG1w;K{A)5?8HS$`47`gpyHW7 zUa;J~K7r(CX%tBZX%g1wB3f}r#^59 zgqPygQ{jRoBkz*jTk+;E@MG&G8A)eB8=@lb5a__-4@TKjBc#@Hu z%wB;9YbU*h{z>12WvFv=?L$2{cT%7!-v)wtY9lKWk|BM-)9y3|1{ z7wz99>n|&;Jed^!)M^jwGRi|qM#w8E3l`4yt$|#ZAGf;q`GZX5K0pET=|;O4LS*GSg$R&)mp4|Nk)Acg17HX#|IapTrOo!jjR@L|mL zt0e!_CAkfb77Y+lBxT<$Fd(_9>d#6@w&8O@3rsBDEu=&)4e`(+nF(_Y++f3y=pLAL zv*SF;Z{B^g0Twu&7%`RPCIxAbT+b6*XE-Nw+D2gn;4g~N&=u^f^wzuEa1R_?wv2%Sw*r%tC{jmQ=|*i>t`6-LJ@XOOJGe}Ai? zqTI_q`1DzkoHF&+>qIwf%F8S9%qyc1T|XKaLKKC)t{&rB~qV!)k9yW|i}ZF>0jaj8}Rv;7y4K{C7G&mgN70 ztSg49nr5#^?)FzHL3Q%c?H(;C7=GWCWG5}ojE1+x!_L9rddGT_QB9rs55DmfP@hSr zPH$O8^6s6NBcbB?ggn?4jc^q9!@rca$y3OY6J|hM6Br)1Yw0p?f4Jywm3^9A{-QS&Nh$Guet{OZh%O zsCT61I9&K&&MlJZ7u(Sdqux17%_1|;%rYnWs?DP}!d~6hBq%>vc8%n2K1l3}1Lq&x>B>lV$oQGur`6KkGb9R2T2CVtL!Wlkz zthbZozQ>51g$Z`;&){)|>wierto@kkY%(;>-vK5DEC?qVa|5LuxbMr)$M6FGbdcnI zVhg6~lQS3Zwu4_Mcx)xPiU$1*__ILt0rd3h=p$Ku^_y}AWYnMIHt_4^z(A6D8E%^j zHJ41g3yXw?zL0e8>T?-GaztjK1w8a$j4#Rk((pV6|9vyO2}hNQb&>4Es7?tZT7Q36 zRpeaq!`$>dk`EpkS_cImEd32r52-1e(mH*Y5li4pxmTfZ`}>kCl0A4ez6P2`t@{CY z8JQ`XQ7=bC+7@~~>j{R%@%Ph6zHL?JJ$Obn>?<78>Nt5G^%h*7X$9pY1pJ}b(w5^S zTQ7X&7ObpI=q4G_9B(Oe^3Y0ia~Q2WX(N39^J@~x2bMgz2K~cMcaU7GeS|nmhL3hK zf&I;z>!48fsDmUcx9QDQXsCO&jbxmD9ul!2!*BW+z|2^SRq%=Z}PfHtlU~AQ|nYg1MWSm@POoWg9iKH7L7VN8}b-))`n!?RzwHFQ@h+! zNv6hi_FbqVF|G&pHnqzvAk{Biw;=hXjmf^SabCbNk}DBfcoVAKQtECSzl8f;Ux&lQ^ z7rljAg44$=BH!N_(j(chqc1$*8ISX^B-5lETMWg%c)o)6SBwPhsCRIO_$>Isy2}+R zjK3XCa+_bKo`bj3x75Q)8y5c~*=^b?>Wj(7!N1F3!Q+>aBvTl7ArC4z#?`?;s%w6e z{Fryf%JyV@fy5FR#&w61-0``0v!IILsTw%_)z%**YkzEs;u3PX?+jb`V>YveWKRBR zOoP@{7w^IE3H!g2e7=j<SownR#1A9)V@Eny-;uo0`l)M>4d%_bTkFsBR|>>q>|j2};Rq2A*kxpwgWqo}QLWwL7q$*=X(c>s^9kNFM_zqiS`Qg89Y z3LAJZ_DCRP9X6+u?AjUDccIcZ`5w6K{D91V)XU#fYXO6ogQrhU0qzUy;nhGFw3p znp56&My@1BpTCs{MK`6^kxZ|}mfvvWxW&qzWW)pIB_zK&>u)F=@O_yD<uJz9ZXV9sDm+{UFJ$T`;l?wkS5Y!PwWAM7+q%`~wCgJ2QIyD%d)2-ae8U zJ67fr%z4+_0{t_qh1OyA&C(%xd#i9aIAi4UJtWukN}~wQ$P;XYVL`7)tf$^{(^3tn zC49&kPQSNdC&~OuXU{^fO|sA7Mzy{_B)@1xjjA_U{V3Z3E;9 zpYZ6PB)jY0+o>B!rKB=DIMX+AE6J==-;@EvM_N9Bnop*DC;6=h`sIAclj|Sbz?Hgr zfh66Z8kGvWs$K8G%A-0xB%8Q;%%qK^ujV@oX#2Cmmt;;pJ#viXeGC*PZXyT1517LK zo3-8~oi~_&7&8AwS3n76w|0^}{8w+hFFEg;$Q+WXKGwbl_N=)c4-1u&uRxpM{%=V> z^xlFon@Q^!rP(Cc>-ozA>S{cTg<_uyis6GhyI+y4;$aU#KeBD3!7P$#P#garH2%>M z4aI72o`Vw(o~S4JU2Z}DppX6{b${xFf1kD-{<%363HwrBO45Z%c+{L!gXuZl7_*Zv0jbx3+ zHQa+)H5b0Zh!b&>gQ!;(yv7R7)id#jD*q%-kbG2A_bn)#a<`l0{I{Hv3MMzR+svU5 zvvebjd^O_;$?iYHT!)z%a$b32yNILhn5! zpEKRO2u}Vc(@1h^7r&0!MoJ%epaIiXoOXscWFvNx?6v;oXW_Ejn$Jn*zf+_B!ladN zR71%*8dn`i-cjgqI6QvOCkNUewRl2up#hVBLSwVA?7O{)#bOBR*~!m;5=sZemC?_H7`DQ(pQh1=yOg_9B`KP*UA ziF@J;PrIKv1|8(MnAx;0cu#j?1bI7ltQpCFcY5y)kLg@H3^#l`T0wGWZ~C>9 z?2ysVHId{mh3=6`d+G1P(RVdreQ%lz$=Ee+<)HDCB?a(i>5La7-=4?}!;Za8Gp3Sz z0!ti8?zUZg1Z=TbmkX0-n$?nQ`zYyOBvbl0bK5lXaA{a39GkT4A<3_b)98neL4pd? z$+wGNFCaO4%hDj|s(I)n$<|Nvse-v5Wo4CVz0sS#`S5Rf&F25l**VE1- zK0)DC+L9{NdFU)W4{DmXZGZ>WDiTTd&x9kDFnGxK1N7*#5>ut_wkPt&kSQBj3x|tp z50Jcee10i>8WPvx1o^}+@mBOMY08ByUxJI z{##Gs__wJ;BvbZsi^@zg>C)n*aN#+XFp@uYZ1^;c4{mrwaw|6#55W6Q`;;`u$GU45 z!At6MLrB(GQZgO7e*1i%WSqOIzQOM2=~Fbxgd3sO(CDl~0Le$js;9v8sF8O_ZuQ3I z&#=Pgva}ZYb6x@qpQw9pB3Zd<=0{=jKbadOv***-kFew2g9)?9?fmJvFzQ^ydXgW^ zb~*$_4{4Q?+|A8G@1f)Rx8tYI5|)=q=HpnoH}Gj^|7aaj z+j!EW7B1Lp@C)j089#kC^%Pfq zTnwe`_-$~aQA#Gs$W9M_2#?6w^+U6v=?ePPyVw6`0sP!r9|VhT7M&zHhw{Bu@L=xh zUbt?Lv8)006rv<7Vc@3j%_L*8?rt*Fu{_1YbnR`QNIpV+siYy9AgneIiv3`GNN!Yb zQzF!OLMOeF4=Un6kgV^Sbz(-O)KN2IIQyWq7s*8X^&WthZq=nQ%qgptdi|@=KF2yFc?&< zkPYJx4?ZIKJ@It|aB|pLB~$8@dGA^T-JIM*pzwVCba+Esw3=iii zU!Q!p(GYSa7gxhinfv#Xtj8g*%W!_Y=^OapW+`C{dcP$;J-V>f<-R){KPNMW8onBKA-Vjf1`aN| zQCtAm74LgNvOO2p4nxV)bJd)vV{=q;8H|km5&d*va?){7kMhczM_6kMqD<*WHZxcB{}V3_#++euhk{jiGU zBP+9e;pxgqSy$@xXF6NLnOU>^;LjtYk3;XUR-R-phn0VVshg7||D(=@q7K zxW`&PiR2UJ3{=7ljoJ^eTp?d<1$8VHqm7}Tgqs(f{ZlW2WSf49T!m9Ux3|JyPp^-4 zqu$kLwDSm=TNdC61Iic1k$hv})Drk6>31`%KJt8&JM|XrE!2iSelaVcx4-9Zl70b= z&O^h6;tg=IZ5QJ~y1Xr4!0@&XQO|8hjdUO0wN=TGvCfd*z2_NdDEyfz@zMdhLFAJ0|}!$=wZ)egh46xCwia3xj9tk!;_JaUPKK_z*)f1&%i^ zz|F?To1lbgpujrPN!M13x#{Jv1(D?evUnFnChfMb-b3lGPO{mE1@+k3TdIs*LjSA(_!VY!b;UKdlklL=L~mF^1!A?C>JF zfm<#KFtSYhDmvn$}%WxIC6RkrTu;dOic29mvMB|5^7w4c>6lVtAe-E@LY>L;RL{KTMq zC_8D z@M#e&esU)S-Y!c^hYO3hR+GH-l_h;JAY+DHAaz8KGd6H~T2lagdZZ);Dn`ZMAz9nq z>%PE=5oR($)M*Qrwt$tJdN+}L--fIkaQm|GP8hssxkNCnZ(XWs3ZqO$dBZ>EZw`^H z^qi~Zux{Gn_t0Byqv#guolu%@1UHFHSpz3c=-*HBzlI)NhD-Z%-$1F~QNkhA6Z_z* z2fIG$c)(Tf$HbCs(35u;px2AaCiv~qQGu=0+gs(Q1yyd?xWd{}#b}a`yzsLC>g7Lu zLDF@+U>K^N*{!yX{F&jg40^{KM3QWA;`lt6y8mM>$tZ2(f5F(ull+}2=wlK&fF z7YegCC}+XztN%VExuqLk_CwL-7ZkRW=8NMNlI#xaHNo)CJd-q-HFM%UlJV00+zW5b ztdb2Q59y{`lKf%$P(LUn<8T~)l~=z-a^uI2?1pIq&643{`q<0!NY+#^!3TEyU7rMx z4$iwqGE2V6bii@lU&SKGm+cRXN&d{6(_Zk)hlm8|^~~ui$=N^BYJ=yV3yDOM#{64- zl09?3%oAR`l^6%zi#C;zOxqR97AR0GC$xjCO8cQr^4>X5R=~{kGrM7UJa?Yt^pC7) zfC`-6h$ymiuZRZ8F4@)Y1RVmdN0E$SXmUQh92D>jnrvS92R`zis=AYU>(~5V3IjGi z4Kg0p*y?PLgjE z4wKkTJ|A#2g=T#-y-7}HNZ>F`9B3(rXWFm4C)rb94vOv}wYxSL!3XW^8j|sCm5ql| zEq#|^O+(EalHc<@M>vLDRJ%iu*4g>!J`<-r#u-+a1m7zP!dRohFQjQm~8U{j8JB%G3^p9j~U60IZI zt0^77;DqFx)8nYKCFz7c$uHUSrysU(^$Ppw^>6kUErb*ah9%opr;+R<&iEc?uQiu^ z;>jl814$&i(|!Flc{|BK7{;%B;03GPPA8Cj`l5)d(8<}UjpPcJ zX^A9|Y4e2)puhcFPuQ}kERJMd7ABU!7uK6vNXE_5Qs^N0nU&LlyXO5^0hLXk>?V2R z1!vB~okm;($r&507;%W)!0KthDjgALk`*v*kAiK+*Ylz4%;aYzbI~B+56qsuQ1vir zpgh%qr{^!gyYpbrzVnxvyJRXcAK*JR#-NzD;*9i-L58S zU(b_$us}XUE{Pl`XKzFDTPLdq!sV*}Qs86d#yceUQR?Cs_(0P(;EXkde z(J6*q(qmphbLn>i$H`Mtm0Bb#Aa&Fg21)uwlT7zSn{#mEM8$geUE=33jFxz+c7nQ- zB?^{7HO1YLBk$xOrPzb#R zgESqwN%}lnT`G;_6-S!GRIO$ok{dVcauQUSns5z@YkPN)Y`V6&_$jh_+9VVBOy`>y z$!ynsm;jT_v#-Kdy~s9_&zkKll1?^Q%rbz+2BTMz+(g6HIJm~Dyac{CN@^il3madd z407%QD;<)lH<5RPcD4h%;hIIY=Se=wF24chERG(LNj|f8(;zwFrL&!(jl;N|@UY{D ze3D(X`o=Rj$LaVVnCcv;nngW9S6c_T?Z0W^@au}9Y?6QN^Wrfa@;E;T6Fp<6o~GV$ zzg2ed>6$rPVRzt!43f$le%Fvj0lvUxE9sOnFN(Q_A{< z&yZIt9_vBZ>v z{~Y}DenCCS^mQoxgK;gt)XtK_pPwxwd6BQ@BB9FnJ$Z1!z{)z3+xpA!H$3x4Ou2w; z``2ktvNHs3hr+grC$r#enUETiQ4zKO0SDz(70;0yr~X?=^1(8V!O%nPVj2ur*nf}Y zLbScU!tt|BCl``d>QYuD>t@p92gl93e;j)1XWk;21J+^P(9L$4)OnIO*DxpfF^+;8 zVXxEcB$BiBF1-eydmQS3Pgnbh7m*8sElfzZ%V+XBDB$-!fn*Y+9$kf%yK>v$m)Izg z3*?M=R|AswIi#}+mK+(gkK}|;yeom;X_YNdzv!q?F=?3Vr$e%ZXKmcztRlrdBy+js z=XqFk_h|!csVo?Ak$UwH40e*-p(o?d!dtB$pFzb&{twBn{FI_vLeA|Cc7Rtp?7~S# z?3Z#595MX&F%%GJ7$kXN;o_;6NNLf1c2GxR?N*XoA~QDwZkLmM0Hw9R^pR}4>OHy3 zq^f3y4Q!dWJ&oy#N8#b{w z;fO%lE|Q(?(9=UuEHl!weg&(rKCts(YZ>hNzlrNs-4;NhhcAR8C)I7We z6`yB!!yk_#rEXB~T${5w9MLsvBkX-Q`UuJMgRR%#tbgSlBquI;MEoW>ZTw~vm@j3$ z4jRfU93*KUsKKjHNU^SsWE5lmDKc^N|CE$QTi8%^aSO@wclMuxMU7tfNltRe^c$Qk zEfJE{|w(8)RZ1c7AKEl;o9;y8%h4sldDJI z)^CTelbr9bjUQqCc*_X_C&@A{&8Odx2=ib4fQ!B;^k}{X{ z4B?7Ok<}z0{-%8&H0{5BiR4C(J^mWLPz$G{PqAYad`M0#;wSfA45Hp zz{myAk`6>LIaiqlTl(i(+;u?Ga zK3ii~3fVB_R+62T{&$Qhsh|IHHdK9lVI@iXP{r+q?|Rl;gr6tQZ6^6+8j_>NlM5`r z%z`7_@BK$|cY-r^!C%L>7ecSojxR~ptYRi3Mjm=AFcVJr)UuppMvpAr0Y^ICh`p--i2tgKLf~m?A;F<>gA&FzoIxe<=3)*$F5wP4kj*xuX@!Qwow&If?p~r)e36j)V^3HxPZ2Y3S9?qw8 zkx6#3R#O@Dv?+N9x37vHCq=!~?duGoPKMcPI8Y$HpX9ag_FjT*pQ>NOI|EsxrKuMq zAE6818#=ke*YmYvNcQSRp$kxJ_uEEjd8llp4E2ml6E$H??IstvzRQv$c_9J$0$40J z@SNnHSl0f9N)GumCXpQ*qaC4KqFV&X_7%*|h3l@4tA$IRe)vf;`9E(=lO<0}oLCGq zHG{U1yqWQ$Ojx;k`a_bd5C8KW#_z3{pG>M;C|UqrAM6bxS@oBzPr~NE##JPvK51ev z>^A>AX$tvzan*cixgmWs$txWSO@=em9C(r|ELHymPrn%{DMwa!H=B{{lZjV0z`$7t z6Jg2R4V5HQ=f!@22cu-gWQxIQS&z0IcuYQA%<*1zlU=c}1PE3gj7+ zG5REX*7@B^cqy=QFRY3`dXZ$_=J_>~{JNh%|5GH#PJOluI+&g-BsslBdtSo+;FXLL z>2lC;CdoRai8;YpRh>Ive(S9>Bva9o`V@1{BhWht314z#1-KZ3}dic$4*fXQ-Gb}btlvbv0$FfZKQiDbOv z<&MI#Ge54w@TX5c!p*H`Ca6%i{tq`7UQl&gPjc4{W*>s*R*fr%29Y1$LHGC@<5a1; z=E`wHIQm)OYLdCwW4j-25Sf0NKJ&t%J>3YSTE5; zvIYOTN2-ymSd}JRq?ztQGSx1j9NgyZPymG!)nAajZqdkLICQ;vhB|d}J1;xJ?okIL z;A5!`x$qD@`bDx|R?7Z@cjEe{&7@A%iJHaGyfkMU)N0$23GKeQJS6#+@jCtRo$(k2 z4eCr<^lkyXx1ll!b|xJ?2@SLTsz}!7iA^sw{H!ReNu6j{_9pE$wsT3tb~?^As^sYCwsA3)KlbCjp47u z|JFjw3ylXzUaK7*7$7-GwG&FS zNw)<-i%3>HWKjtG9Wy;0{+IjbKFQ2{R{srZwiiv&Cr=B+S(E%BoizdQ?0l0HcqU-t z9g?#+^!YOk&8m_%AQPUXvm|TY6S@ih5_LQZZ)(lFK{EU71v=p>zm^Gxq;bNPxg@V} z{@{AJ{nds;(Em4EPI7zP9vK?ZdOg3~)sRn(+7CZfxLzh1xn`X=&}C?h@ElTe{Ci!J zZ<~9~9U6HYi-9Tu{ufAYFl|8-Tz_3jz?clE`=v>;D~6xBz_$v89LY2-jwyfwt36-9 zT+V11UM&(=Gojv}TV0N@^xf?Ul4}=F%Y{X{TWcY=Y{@U^xn;)mxzuHkGWKxRm8NYZ zqx7;Q6DkbGKZMGY*7rj_<9Q0E)Lq~vvklVhteLLgz7b?tKi_9h+dL4W}Ics z$lh7AEaB7nqy0!mdtGZX{F_wH!=b#SPbA-1?<+ZvbQ!do2LnYEd`QmQWH1r_aj&a{ zvjWe4An8K8OU#_?EkjervSfLDus+F&RoZ#N z5wGcLNgnz3_u~KOsSV8}D`HtZ%7UD_exEkUnD1S?0{%ETcQ-s#BY7THefjc|1P)`;!BpicDY%$tNway#sYtPWu825{9I0sCT#c1q;LPo!M z<4$;QwS>e1>g8h z;SxGp(8q9$EA(`G$C2!RQI!SI^YqadB-8lZZy4_SWTR$B=8RWbM)C&iuLwBk@+=qX zMx3i9xh)xce!=oPE2l3eLw^|B!}a6DLrM0&PFE&8wf6QylF1G`*$=0thbY*SVs-Wl zq3%c3V3MCD%cQ|aW=&NjC*)kx3zhc9%Pt{bo?B;0vPbL8{Gi(p>Ek4`IOw$GQu1M3 z#5|IpQR(CZLUKA?qAgHD?&GLsq?$gjO|nHRQdYpi z1HrpV=4FoEdAR+dasxd0_b;=YI_A?GX2OKI#ZIu&e_s^I#T;Fm58W%~K7$6Wl7C26 zMyN-{i5#VQe<>Vt%nT!$AE9B{aKpJ}kKvfR8iORie^79$Gnp^{W)bu@yc$As%%;QX z(D3laYB=uf{63Ps(K1EOh0OWUZw-g1JP9C~M@!G7z=uBE9hjfC;tR=7y`v}NN*c9@ zSU@fD51UBtj^T}?aOKM5H=w|tz)q4qUtlZoA6ffmnkk(6b7(!ud{n4E1g9=9Du;t% zd*741&ym%lE69rb#zrJp*dwt98VY~j4|7bbF2e$^^fx4{b|O^RjeL30L62m9HmZBT zX^cQDbehp}0Ulg(rHSNgw;mL5CuL7<&?33!r>rY{&@CGcwI_ZrAlWesAH9HLYjcNT z!oDaq59;i^;kpcFHR?n{BW7$K$+HIUYhj1SwO{bWo@3KjQg2D2zdaOxu^<$_98$_6 z+5G9hAHpcR=l$>zSE%4gy+tQu7Q*~G&tQ1^r%@Wo8%>;W51wE6sTbY}yd%4cdO`7N zmQdiyfDa6NygrHK7YUeOgJl|% zI^Zm)Z(?hxR~-4!7#ikgdqMr?$OMx09B{r08Aa_jl96y07FkQ)-O;8GB~mIpAzOPS zj^xMu+*|?!Cfc-++!b3zAusZH@K0^{E&u5X7<#v0H_2}Ovim%IKYe8b$;6l&j#x(? z_Yu>8Q!_f9U~|Q-D3TBPmYNR>CWkyDxky9%KX8_xs_J@DeBZyN(7U8DjAZq@E@s17 zqv9WvOy;b0gK*b+v#H+XiD+p%lHXU>8$xof1`&PmQk<5}23qG=A`}RU+bY9?`=j6Dabr9OfDD?_v9@6wyuO%>BVeBrkHtZVi0;Mme73w8sozhNCPR-oVkG z#lpU1blg5Yk`3V3dccI&b7M(nim+5MoXYkz!8@Do3v4Dw#ARy1Mhm$*KXOs{k6$G3 zn)_tBKl%6e8GE>QhzljT^QvxHFu-bd4V0e2HTj3wsK=N}#y(RP)xZp=}{j=hZ!&tX9x1dt2NjJ&Px;arQh;01y zc^*_4bI*rltmbDVk$l8A0h3^Q{ezjWy`Y_KX#zCcdgv<2o+c=6AoKD+p%Ah_Oizd8zRneKgU{UBcf+Gcub+ppmy#Pu z_Ve3-5nIW7vbGu|!`e)9hBtzTqM%jAi+qx=uQ~q=`u>dl1IMVWR^3LOOOD14aD9|S zIGl2>JDX%*H{5*;CrYFb!mYZYQ$wj&>FZzzPn}TT3a6Bf%pm#gea+P{Sn*096gEF7 zx1D-XVH<4V;XF1FO1H_Tl58FG{SN%C_2>)KbkCIuqn>wMlm#rj;_3?r-sv18c{}m3 zH({>X`%Wn0drcyodSNGynL^j+{@$>jS$LRadzGeEz%KXS?@1q+i)-K2jo#IJ_r=KQt!0Uv58DRN}phF=RwcI>`q z!BDB{TpGzd`@ZKMRFd-i3YRzeQ)ZZx?2me8BRoFXlteOTRWDtGv%L;IwpbC_WGws za*jtEJzzxD#aMWLV1M!d=gI3{k*xX(Gr@!8mi^MRNT#Z?*A*&$sg8!x3a8JJ{HLW6 z_0S{Q=^uPqqNRR_dez^AmctII)=0R0L3tj@M#U!8!OI1{zv06!E9Jw~i=3jc1U@kz z426H9>as|_s`zXT)TrO}0|rTYC?-;Gxs8D>wAem=3!Gi>F^y!kTKIeLo2PK!}yoO$4S0SxbYVJWOA{a>SBBm+3n%y$*Z z>h7@G2X~&9zXYx82U?=%h zCRxGO;GJ;V#KmW!m5s`ClJO54{sS`$8&pq_uih3rki6o={o$~FxmOOX3^RQ~a#H7| ze!}-(dZwn3A0}4Yk?b9(tgX;2E<6J+FIxV9WNdpizr*HfLh`BP7~8itB!BmMVk#Wl zzUeN>>8M!sz`p1-GoBefE4E9{9Sxz5)6#qi0rtXHtzHe4`+dYht_&w@U@=6^8xp4$i}yFFXOdg~ST2Xgy7D_nPQ-g454NS&*1jvjBX{kCd2`$^k!+5?{%e?*BRcvFdHGd`4$0gT=iOktP0Ah^ zyg#^z$|LisBce5|0o$A#oT0{n;+-Vh@N?~Rm}_eKmt@4YNX;e&F~%_M6% z+;I%9FyL=OkyR;OBy%b|c;b1o=9QfpJSM2Jf#m1e4j+blxQ2@V&sD|kBa;j^Jr+47Yn|D{)RFFZ0s=pr;*_4XCX^(L1I z7L#Y6B+i1qLcafztie31U2w~8`9j!sexROYw7=K>gXiVXs$V2CoOdlJdBKzJJ798^ z{u!A0SM({#O}6~_8&>=A$|Yn+ZpsppjqDEI4(CZPK20*M?kbPqw4=j6;GY`}ikHYz z!Hc#eFJiWT3*5NX>lDe=o;SS@%{rvMK}F5p$(Knj*J>-0y>uwcAD*udKS46)^cv|rEb9llo;xEbG4t1JQK~~?;awM5eKZPP-p>k^ueCS*L1n$XA`bqLl zPkpCVl47#fi%D*)wZb-Nw{tK9rrfK00A;?P{Z6t$CcEXYk-i}w3rOZ~ra=%4=p26% zMo;U!OY+Gcw|d~^T;9p0#Q++`jYQO_H5?zp)FB>%Tbh2I)B~ z-i&0_wyoO$_ZOQb!noJcl_bAWlmJ# z@Vk6A$<*i{SqXncZr%%*7g%2;d8H2u&2X*OPr+N{3%94UNUq{o!GBQl&F)<=U1Vh; z$)2z=dB0Fk{C0M=;TO-T=vLNS9H%OV&4iwS{j-Kiop{)ehOG;F1H8_hDd# z^EZ+U7SNtjMT(mXTf@@uHh+>`U0QJh7PKF^O)~w*71?{FUfa)&BrhWW>@oN%Aim~1o`USBA_o@DRu={g84p4={ju4B{Qk&LME)^XKj#;zrX@bQfq zt4V(NH?tp_8ojy%cWt@!n&jqOKQQ_MIqma$T^Olm?oP6cf+xkmg<0QN$vnRO>j~UpS~%?yxhgDXG0871_1p$cz8htd+#H<=522yor|+=v>K*yVIbt`6NF&D`7Kqe&d}?aue0*EP8U( z3fWI^Lvr85TI$t5uQ7uQCgg5_&K6OLBx8BNwGuvlpz{H`j~**lN4)pGWzWKy>NU~>_ymLxvCky`88+M zGwRhENoYfZ-QE9@T+OAsyI}pdQ-yG;S?Ejn*Uy1@PTjrb>NDZR!I4fRvqi0C2b2oA zat1ChIrtQ6z27iI^6zF@sJtNO_)T6)a;oXyx5NIfN2lSy;!$Xw{`oq|&wE|<5f-XvOlTx++_%pqIj2;| z_3&lK%tJ74l3+Q>7P-ED2d#2S$2F1TUmh|fnT1jtSHs_H=I@7%N2XjR`D3m9ui;LK zC!=4HZH{MjN$yfQ=MKy3R>VMU@!1zhR(9pMCYX`-VPrFPv|4Ux!aGw=xWJX}K^**- zx~PEU3tvrt0X--G{Y!FtHoTnCLcUD7;0QCD;vz`)mFn7DxNybXT9}k4`HN(>cYK-l zn*2TK{$l9iow<$Vo%6ynNiNiTl)@V_G4IU+c&X!R5Xm;FCZ2>M8#Yxzi!+wJB(w9Q zoa|fj!Hj|VaH3D`W|H^G&rgQ;I-_~0rtbcU!wp-0ZShXqphY2~MkZK1wo@6SQx@ zvCD-!q42S`30>3`ZK#+F_o^OU54GI=4w0PQDVuWG^jYye6wv-P?i2MMcs(jXWeCq{REWES{>e;CY ze5S72$q`y`QQa#Sl3A>DnS(uR6AGa63GWvqZ`Nr(48PBmRr^9(tnPCpxq#xD2x$C0 zCl`tsM%9vR+jiGq@J^-9^d9o;@ECiNId1WO8%)@9Efem&f9xU29~c|Z50mW|D)f?) z=~EYy-0kPTgWzK27boGi4d<&!cFw8TUij+ED%r2(Bwb@mlIio7@PqkRyOZJY@4Gz7 z-?2;o1k0mCCBKo1RSxq=?yuBLA2@okKoX2O)KW>Zp{-Xwz!d32Vtu5Bn~yQc=$^Ci zf*aZ;ge9kI5_TsND28rj_y2~tF8?L z@S%v%q>@CGxlu@^bjn;riAqsa@`i}0Bu=3Wl`V-p;szA6wVZ=0D$^3!{3 zm>xP`Iy*xhHhYAuhu%dF{v<0F@ne8wK0JM<)JsN5C0oFz%?A&{7m@2yNdEMfS>>=- zRp<}NmH9Tv{~@bx=dOZgy{Gq)>=KjRiEw>@ehK{acv>gP91!W1=_4nbzchpeXRf=G z{Lb1VaZpNT^JBQoP3s5A4d0fK>L)j~eq&*jF29>(|KsAKVSTRWLpW!&SqsTXStw2T zOL|}Yrwd2Ct=mcRBjs*KKp&5=dn7mQ`u5Lo!H=a917zOv$vV(;|IckCn@~^^2A7Pz zlua@s#)lf<-MIB4gCx^9X93BZD~{R%Q~vuH42RP1WsuzV?#Q>We6j0@A#!)5%h9$q(=653AMr~aBtG6tQc8{v85l%sG* zs^2Y=-_&Vc3k!|sF+0e(R1tNOOX+N~f}z&=hvBH3(bq^;q08+Rl(8`$fH!W+EA6Dd zx~~2;u*v520T_7e)+LgkEqJU9zT2?17oJF4B=1ChMk6Myf+Cx~d%=qICl^Te+{naY zxZ8IBZ)lKdDYJ|E!X(uV;m9o`+@Ve3`*S33Jn3!`EVqkjCppbW&Xb)IZ1y zI+HWt=2Ji4keqj2iJ&X#qI+pJ96EEzhGd6()^ku}`P@{JQPIDz;zquWi&{(a|At%- zK}%z!EAZ&e=`TsnOt8NXrmwD=v4{MXanp=sD};l6AZux#49{lkJSQ1WY-PD?lbrWMi>EMflG;xg=PD@eL1sO!UrDmBrslZ9KYLG|B^jmC zT|6wDv!V_52Th&0mn^R6T1N8wG|P9vhhbOGkX%A_Kt8lzyy+{ww z%5xOjM}0TOE}aK0c1_v@haPquC7Ge{#Duk^Ow|KlCN7D zB)^|rd&zDU{L{X0AITkFH!cyzr?wWuwLL|@Nw(QGLFNECDa+dsHV&R+lMj-YpPXb#Znyfb-EgBf8x8N5OFtyp6PjJk@Nan8cwdsKyP``n zpOyyfgx$wCM*Khj(6~qPE=FRX;mI>!#1E0-e;zC(IVH>3ZE!=pM;P2GuqvBm$J)+p zfOGi4QGTSCSgi)h%-NB#8E$?a5)5-DIcAW&{~q19Ft2*zh{NOz`HtBn#~duSfomF* zIas3Zn@X~BXRNB>xVG8EMsz3FOOlVvSg?sW2!EtLMuaLa-HJ6ug9%I-~a<`r2 zW(JTi3;&qGV6j&|P{uPgnPfja2z(C5O4)UjOwQqjavXWQbgT(1pV7J(28I^Jll+dF z_@_{LsrOHk<6_oGA0a)PRP>>NiGUkSzxeJf$!7k@;$h_alWim;p6)d9DEW6Hs|P1K zNIS#C`<-VW_fAYBnX)%O zYN5SSF>{RE7LcqCYrh>_PxAXUt^7$&tVgH{K3LH>04;9hDIF)hM?_kXtd6D2L0FS( zkU}zJC&-mUbJst;FydLIdq< zB(uE8kYwLor9ak4GXd{7lCfR0<}oz5tMUWdj}VXwqdp6lcPwmrnzb8_k~|qrauSD} z9>SY7%UfX64Cx8s)b}T>Qx{(O`eG+6Hop=@eaK_0&4n5#-H-v)927)k1zG z6S%DL3bYQ-dr9&p7A`YSlj;`?%t@|YNNzt|>F_5RYGqVDhk{d5yGhp7D^TtXSzEEi zgk;Rr7ka{?;IRpiZEAV?|Gc#5C&?S1itT5iDd6i`7%0&Oy2iEi)8+OIBO4sW_yG{{}9tVB>(;QjQ8*eJ1BIP z3{R+;M{+{K8JnPtV@M#>e&~=!vQ|@d>!7#KM1fc`sp^M1$&}A6UJr-ElKtW0=7ZNs z-bdf63g#uv9wfQlqQc7ONVAQN7I1V?-a*(sE;5B=*SWcrlgw0QIfXbf=;)tS(6PO8 zA9U4CO(c2iD}g2OwSZkG$^EcgIPE;;iKDY0#*+XJPSQI(F8g8H zT*Heb7ak|~0t)^4(+#DJU&&pfKA}6QCNN@bkS9#rYL`GV8P69!gNCZ(enGDTtkp}lH46TFWmmCGIQ%`ND z?kqTN?IdfGd05cl52GbYuEPeGi&gMko$nyYA5mSee1ohzHpi0WE_Mq0!dU%}DbOwB zUOB9ji26garmn6Esbt}E!__3SSZ%sD%s<|j2yb+~DuKlYH#7?DWt2!jpD8)Iz8lO$! zQ0Mc49Fo^sDc%SxqP~h`P!D~Fy#TJ+dTtBs&fI$p`pB-%B-zt`itpf^`k@h-)Kk5r zZVvnxm$?C+6An899XD>jN%FC|OKac?#mU1YC*|`~^)_i&Q?d?9uDs+2`=btBCD~lY zx)P4xHuo>djJPvO@eWxd*JKWL{qOIG%PONTlKj+VZZDu>gi#O4jUJpnJ&O$4+;0NM zkg@H3eA*8UgCtXsTjYBt$^ZoC1>f5^S?2>wyr|DEL0f-EQHkOQ@9 z%b}9Ni2q2oIpuvMT+y3T01s`C_(n3OkDbTeCBx^hTmt)#%IqNd+E3jlp`v9)F1&Q< zS`*2g7Ca)BOCEK!)rJR(G`Eth=M0HZ=yCMh9q99^@IA@2Tf_(PM=x4v{B8Ls?#IQ%PrGzWe>vbhm1`K2YwQ(vL}7)_XSxp@o8 z$w)pr2Gg9*XTpqPuXj*sq4~&1)LR^?JQuF$8{PoFuYP-kWcJ>_a}!3%oT!1O?mLG` z-m_9qt%wv^KE;aUmL&i7gB}7euEJEu%atVC^7!yysIIg@@iDpY*nIj1l>S_77Civ{ zY(8IvPN@YiNWM_)Y!3|eb)Wu(45%q$&6PB{C;oU^(A(E+Px|Cm#y^dv;aN5%=z9es|5^xzF z3f))%)4pr;kzBL6*o-ndpSCYH3I3_|D1|vjtGY-gK7OWbIoUHbXaw`!YCT9kvnb;{ zJh~wC32cdW>>#H*xtt9hq(R#_3WcBqq z%b=6ks9hw#>(Iy3@J!{s`*5CS)EAOlmf||5l04LBxCkn3p6*Dp%U|?`!%+FE9FnDZC{U77L6;gr2?nIvb^^!Oc|ZE#^^6?s0+XD<9AYPpeQ zpS!9Zh0{I=-XfXv3*Ohj6EQi%uuUjJ?KOE|v$GY+dp}%p7=E5BbB*K<2X$A%uI}=` zP+;RV#cJ|e8n=dI)#PjsK>Z_{mq=#k7x6N9-1u7$OiL}CUPFEFB;rh=_+C#hs8_xE z0?B2>Up4$d6=teva>tAi?^x^eZl8e?%3xx|}k7YqtWZMUl{pPZG)H_nKXo3b@so8Ez zGTmpN2Ep{diRsYU{=gfOS1Vd8SWkXenl&5dgpRZ!ImwS70^r)Uxi_Fn&gs`A>!!SW z2-f@QtGp*4e4MtHWX7)R^@S&|zq||&iQlLo`8S7;_Cd$$%`-lbTNY`Xk=(NzV|?H? zrX>kh?R`{AvhQoocfq#B`(ztPCehrOWF`x$?1l54n0UDE`P(NX?=?58173(cF{P0# z?%lbPU!FEcuaCvGiX?GH%%$c0mfPCdJbEa?~hk&zLJ9jsRu~?r^I)XtYz2NQ*grS!aS16d~og){5Hc=yp7EBUA+)G{!rXT@+s^7 zg~Ha{x-62@l)e1{PVx>L^__g(yj=sTnJ?Q+vQk$j2g4?*U+E;Hf4KAwob>CGU^^*k z;y0V*xio7VXfHpHgU$y;Qc3R9ho;xC#4>*fuDTmde-T9QiHzB^7TO*$J_NsflfObT zK4yO_p!l8FeekkW+KdkBOA9+@2Ae)@^?|`Ai<3z%E`P#v_*SyL3-%m)D*KcAmNh0C z!ybbJdr3w%Z*4r>J8srfsOdBEC*0NgVahM+d$uBXC5*my+Lh$0rtUrq^}O_X81!vg z8+0`5mHbV;Z!W)F2GytB*hMlE{g0l3f?qc0!){aUudpp+%-BwR-IH1t!Nx<697(RJ z>HG<})_UJvxGCTKBkY${8Qn#_-p3g&82;m}9m!}LWgUkP?wz;|KTLP3CwbSXnAy*LW*$X&SwTY~&+Np{Bf4NMQYZLNknT$nm~J;}7lemM*m1UG~2M<74k6A9p(R!re}0l zkxc%diTj|2ea8iO^GR_r$*az~_!~}6@|Ec$=l59|l3bqs9Cvu9N;nSI&iYtHvb9O~ z+TkAIsLB0g;#OCdWKv%n?uH*{PmhKnQGE|c{=%rLX4tsx=J>zlnc^T_lFQPy-w6d` zbRys^(ed|4_PcxACwRN|vG@S>99(u`AvC<~vkgj$S%$&py=vJc|L~1q1IcZah}b+x zrXFz)CfVqg6&Y~yN}0FN^KQ4`5S??9t(XlveXiL++wUAl@|)J#roz%^n$;xdcKn;l zKeBnCa4kG(9e0RiQwlt3{P^hEqmIaAB3VI~FT5e$1|2%O{!m^~b-$ zE9u+Djv&KlE?G?SBH@zTq1@N@6L6gEv%4gB?orZ5sHk>u^hh%M^g1p0u5Fe*$u?{i z3V{cT8*Y=#wSVrog`A z0_E_{&v(60eP_132=!eqJh=*4aRYO>M zIlvt{3~!7hxm~*!Jcf<$#eTpa245$SrrzOO4_PQV>D+FTnRR$?G&KFX>LJ`^uGj*@ zbB4x?QQx##b-M6faOO^u6YdC&fS0##zXx3(F8xfho^=Dsr(BsUB0+XZh%A7{K24iR?n1-;VED%%t4NAm}iG{jiEj-CH`yREy z=kL!?l%$@shWqrOQ@Xh`EE83Ugkw0SfMl-TKe2cs88*{tJA5Cv{3NvPnUYKL#`c{b zVM_Ij(Ua)htoc{8V8m5_dl)))V+hI0xMj-Ln4yD<&*d1>)g?S>qNN2iUl_Ck!6SugE4DX{GB8F#psM5joPK&vpUH?{nAM0<&L8 z9D_Twn=?r6=q>&&d@gc+#B{PFz-tc4rnZ`GfP;q0N1*zH;Z&08P<~qtR|Ver2ao;@ zSCyweiyb@H!ISlRey~Sp%2kqkaq;&{C@KA-9|n70o~b~6I~xz1!yKCp`=LhG{EH+b zBRl#9^osu64Y&U*kefk$HqK{Fpjnl>C&?KtHBEpkug-Y(f5#2}gzsEyq-Ro}*_U*E zxPDED8|+SXh$R`18M=?)(GwHDlf1ylj){t7#V zl6}Mpk5eL#d}v$@rLFI6Cz;iSktd<#G}m016J^*$@*P8RV#=htbDtL6UG>VIw>pI(|>LoymN!oyJWSfi>2%{ML$y10P+lx_EdWJb#C^uU6{-an)IiVDbU+|iY+Egvl>!6?kO#4#rMzS01a$;d@$*D&qJZ?w#ElE35K?FI(HkVE z`sPy=%;g*aT;9TWh8{dgQ`9`aMW>&Mv@iiQWa%M7gs?| zDDa|w3(2?} zay29!v>k?b+%?r!QjcD%xE0)H{ml9>+&%bblu$iJh^=No1t%2Jc z{_Q7O(V5{r@OHwE=>~M}r-+^@e7Z}@3wk&GN+9|B=FgwOv$s-y!8OWq8ar59-s4>MV zl;rOO&CY_0ehYno5A7O-O{s6y^St@6c44F~tjcr=BH7-thUxz|RPGJQoa+4}u!_8I z{c090dYNhsw=E3{Ao-|xyBjcNlFn{`D1IFl>~JtT}19uiJ=Z zk9CxLz;&Ciorl@?xhEvksb$*%pIy|PvWA>1AhD9<_a6G@0?k_rV_=M9Tp`Jc7J0V9 z?{m#0ElAxPO3O$#M`YLuCV9U(4SRmxzE3jyEyBOR*QGngSdyF6^cIo4*;y$^m^tou zIMnlaoMRpMQ-RxsH6Z z&V4S)w-%aggafl@9EIc058NcVn29wtP=8y#graQukkzwp}OWX1K=SKW4S4LrNb>Hx`UJ)M0CIxi3|gQL?Ldq}oc{N8kHa-46Z zDKu+#@gkWM>kTi!vPW{oaNNAUUnFmx@M@|Jc|r810c`aN+Cy^MU+m7opY}RMa7Ed; zc9K<_-8N|h`TgqSGT9$!R+8mq6}v&JL1W zKRx0UTo>S+2OqYt_(ZbjcFBluA`^?dwc$AJimfEmnQ<)?4vsyN1wVz^ejs_fKFv|K zr29q*4U*gZ`kO7>tH}pJhxE8~*ec`ohGd2O%mg=+L%m9~NhWm1ur*ws7XF&#tEcW9 zg03NYDqHBBaIe%_cxn4@UzpzT{4)Hcce#ROJMSItgJ)GX%&?=Ls^jy`V2j{r9~kZN zISJNQ7L=0w@6~6!V9GsrS$pbvtYvBpC1Pgmg~ft{=SlX*;hHCKSwngU99kVRWh?c} zDt1^2kErOnLgSc;XGvasL`Na4^(bzIW7?A?w^5&mneQ^l-nZHX{k7+uA=z~)!uhaZ z#K$jCFyP)82kLv@9=QmbnY%i|vn7TnNPhpq>38AN+kK62`GhJ_N9t4JZfe3q13`AM zf3y8@l5H;4xefIV$JfK+D{UjUQ=f{$lethf;=)FFwmB3B%6U;8eGjuSiC*US<;N#@FU^WSi*r?Sj0^7oHn z1CqBF*)a1o&L5a>4tttK_rszMpOZ=UbaBCRSZ;8(8zyGE%blU~Bc)7Dph5HuPbfWd zFrMTCoob%K;?L)M6;+>AD?m|7l1UFzM$Wteu_Hled*%bF+iphek*O(fee zcYh#!pJg*fujt>#rEUp4K~KKSj#`9%14(5r;x#<`hy zLgf$2)6SErwu}+UZhY|89eU2miX)l7sV5%8$udqqV9DX-Qt_nKz?2mv@8#0D8>&{k zh$gw*)mI+EclrJ;&}H$)2??Z9g2qykH5V6if=!`cB1k5w{lPt0x+V5A>?!k*xIoTW zwn~TO^Y71efc~;WVI-GvvNju*?U zZ30+$GoW;YCpXHk7PgTMyn>1d5Lc8 zpz}0iKa#n1LjEcY{@MQ$E^>R_Px1jDZq2+%Zf1{}!|@Nd?kBk|a~EHPOV3Pr0ei-@ zcav=0-luYx$jG0GCh*hN1D+&PQnWS!9%E-cgYPm&{v!D~3JuaJcO6r8_pzCs1O(lTB#G0BZ_DB2E%pTwVpE?VBXB)ja+nkKktlB(EMGC5d4n`FF4)Z0T(r|b~ePzU$c-LC=hN9A__L=6uLy}*Axw?hqzD!J? zkVftcKE4!sj&N`y*^&E}oQAXNB=7%U>mQ#3}aS{e3zjN@L8$9mI$6~JcJ?;_7g|6}X4%5oaCgqS$ z%aoUse0ct_Gs(V_dmBkIF%fqP;9BOyHW zBA4WfFJEqgA(Q;Ya%nv$YJ)b(9vG>y6~5dxI+SFFzka?0pV&Nj4`uJ470#n|i$xyu zNq*7|Q(I`NGBb$eu7nMy!94>tb@1}R41s&JU+_c7ELd*tXbpwRbOT6c=e$WbNG>t0 zqYAppl?;-6#gU83_eoLakR^QUvEG;DmQ~NW3=gdvRY5Z5k3aq)+38yM74pf>%TcT0 zvq^5=BolwkC<%J}nO+KwoclXTUgmApv;x}KWqQkq6ftR2`rjQ z_x@;KLil&72c+1~Co4$C%8l;*k@Fh%$H3$jbnlP$w-(a9KiXG3pYHup@8W2>_eb;K z33Ts|+!;vs{%HRlf!+79uDp}({gEQIbnlPOZCKx{LoyY)bnlP$-&Va5jx2bM?)}la z@8~U!B)|2LwkS{D?x%Zyv_9LeWedp#)YH8`%Dc?sGfCFs!M=BJ(cCp7ACU@4DsxFD zNl;)T?B(7afla@&Zj$^WkCQbp@3qq~ykfwr718=|k+c;&qTJ<2a_+HZS4sByq^p&1 z&B1`bP_J#H;$vDr@4R3Q$;g+99Y8+3>gz?4ch7(L0`|(C>%rXm!rtjmNYgQ^O-V*C zK+y|%!LOkNl2vu6dj`WAGk;-yqJG%ar=(c+b_3|XVA&p$`x`U)9LaYI|9S+!?=St1 z^{*|LCOsn?H~B3mIm0*B|G{eAc~K;?%lpM9acHc+hFw zj56w*^1O95$<5Gx?2UZ>UP2PdE|&Evg}37^y0HF0Turu|vb~3(G0D_*)O(QJm#sPH zG4HHA^#qw&>D+o9 z>NJ;;?4XInF64{1zMUo+`C0sZ%%7c#`vMImyv9`0e51eFB9a?!QgVa=+lIqQHtN-z z9Fo`7zS9T`vcg4Q(fTXJoth+Lm7-@y@`J)tj$=OI!0$}VV|t&zLtbusd1Mv!*t|GA zm*n4?ZrF$%oHqX`a)R9GTgVC*KG%?3IrCr`d0oI+wb!J}FLx`F3vw_$Ofrd8Gp><* zuKr*pa#eQCUy^NC%22GPJSsM14aqBrI37U0aZL9T$!%<#Scd%3xuXZ3E-Rj1L+5TS zyJ$-CS_QsdB=>dt`U_C-%$#BvK6cb^l3C{UacV7D{QI5($$xQ-+5^u%b3I3L3Wi2S z$jk3eZ-<@I{gdiwzyG&t^Y{Az&ALGTNX8A9#TJk{2Tl_%fBxn zIlIg!J7C+~#8Xf#d4C?{N38usGHZ^ii@&9F?p-4mlI)osAGX4*n!BMSS7UTK3+vmT z{`Ud%scQP8-qE>NC#GqT{8q7ETjW5$mqBpJ$Lr}NS89Ls4f2ndn+5A>pWhno*(9fR zXN(Q<#+fYvB-48F(G7S}DE>9(Pkr_ck*rORxypN*kKLrQmSmIbm_zWX$-B$2?Os*| z$&a0NvX5l66P#vzplmC_nvopmFYN=b{_IR5*|KeArO5V;SGwR7{Q%hpI(PHYMq`qD zwP3+s+ucixNJdcG&k^~-IqMV1-$du# zC0XAPk&kd;dz0uVTDP~$*Cg4l`e-|nlQG|OoMa3h8sEmc>pX>e`Hc`}L&5Bs*LD;5Cx5 zKD_P~)>{W=4Zy2gg_OS1zL%8^Ye;s7Mcx6Zkagw~$=ua&DI@uYO9s6#URX~48#zDt zk15G+>aFyGM|Y)Oz&!O$U@^(PHnsZ=2k$SGX{L3h+2agJ-uy!A9+LYc^Y|Reh@DI* zLN5O0-A=Mw+$|=zP!9U2%96|q1Hs+MHAVGNBtN8?^8j<@E2o-CcFknx@vWrK@fErx zm)JLTC&@qiulp48(em;<0h^f;26_CYEY^Ob9Uzs9_#?D-Ikn15O22bpv6@LG~LlHYKMC`n``5_+r1cMj>BcZ- zTgYCh)aVcoO)YhwlC0aKi9eA~FX))^i*j~K@k&@X@uDmI8|-_QWMuzX@g%q0c}^SV z72kv>{-zwX>f`(;zxx)E{5$t5M>z2D z<_VGw*&2M80oZcW;qQ#<f~ zn^rHc!Qv;^U%}7XM+dMze08%@FXdxO+7?hdbj(4L4Ss*Vmt>O6_sRbumCDRlk@R_C zm3?qSI+F-JroSsDS=qp>-^dpQPRjI=_dJ~pNp@%La(CpG_0n-9AC=cx1XI<@+Oa<8 z`jyH3WSv+5OLCjSHtr@F_W_M)%!6FT9>TZ}Uz$liZOy~+e<>Fg#_Gb_`FnSgeCx$k z5hVAYyy89RcV_4l$;|Aj6(68{(JONy%=!|#jbt{NY!5@OeYP|kHtS4o!2Cq~&ryTa zD>AiI15OFQw3%e0Mg4-Ij+=D`G-{apmgM*?A|r-KN4{w`$$Dty+aR}QL~}4qa!)GB z#0D8xV?Cuu{vXV6`m6GfzHa5Ouh+t-CTWLAuJYcoE67HRw!MUwHx~DkY=^ky%wckS zc)JC`jiE4=>as znK^@Fok?zvTk9E;eNLHlNDSS%(vwM(koNmfNt@FcQgQ2kwG zg`Vt>Brof9YV=5&OV{nvBAH1hE9~L8ds9O&_tELT4M)b8*OTmS>1#qlbj~r1n+JdX z*tCh{tXwq%NoMs2@ibV=eyhcNQDGq?Oy}m#k5h+vQJ(8bMtXvoKgmf1DqV+e0>iH` z@7eKYfaII$;p7*tG7vn*=F-gNKPwLw3Fmd%>67QN*+imFeI5i!L#nr;)r`3$t~_Qd5rZ_9y5NB zta$an+q1|2Pf&akgU(ai4(*qZ*KdcOL8}zi+94A zWyujFo=P~=cihpB%iE5CV^yKvzwp77gCRY zl8nIF^YoAb{X0Uxmp)Y8ZSF?$n_HA);oa5DBiLH{wvD9sowFuN(mv6|6M7`Kc$$+l z$qt=Z9*JBS_+|7YvPIyb7F@J5)}Ca$YCJ;V)b*?Gkj(2RGvC7#+CxH+Ib{1 zI5~3@$=*308VH^H9MiBa``^+!xU6}SfD{?L>Zdx%EXprgPx7s^F8Pyee8QpYSkIkm zU4`|5!*d5=YR4$$DYX8?waJ3yg(~kKgtyt~6p|}_=vEFzW*Gm0cOvB#q-lT2xWB95 z$bGN(!6}`$5=o}e@mLAm`Fd+76f;;nZ7TJpXHPJK>y+BvVNcA{IFgGMPI?R%?LY7X z8uqM}lA*o>8)vP6fwd!Dpn`EjG|8+>&3y=MRnN4*-gCPrOryS;gZfLMny;)AENbhG zAh{0n%6stliyNPz%)CGeS?ZHb+oA(+%Pw?)Z@IDIB=hE9OE%o?Ueo{w8skOes4vXY zdjZK#eY9o^@^uZ>Vvj36syy|EkK)#m+@au2ekAj+XTeq2?j>G{IaBwwpQH-|g)~F8S#qh?NC@F{UoeQKb}kSOQt(C zL5-tJ#FR;fnW#;2@@tdtkZi!CgYTh-qLr`;om+Hi_I#)!By0^Y&ERnR6dXpm$Uf3s6oBfGcjSi+Un z<9y)^owgK`f1CZd94abZ_(O66AwCM~4t0C&?T( zh?q8uw7TYO1f!%@dXT(cjLdmBzOVZ+v~aHYL2`XxuSv}&i%pKKfP(jIT}W0}O)Ca^ z#Yq&x$x_WNBx81*pD>4<)E2iC=IruvBKhVzv(qqbiSm7Dnm7EJr29&5CFYX4;dgXk zwa5tvl0Im$GaSbD>g7P|O;Z|4=5Xn6k$L2J;};9yiyN1>ko+%c|6`Dg-H-`&{?30# zavOJ#9yy=<+WdJAj9c|!1If-TIeP@Mi#%?U%$Dn>HE{ownZxi*$e^kQnc7#gj^ugg z3_n==Cgds%&~>aNx#2wBzi_2fe;8pxvhRJ@CKM zIny<%r@?5HDLi!JqbCfMzMnvHy=SAI!PEV&zaX>UXsQK} z>D+n*M_vp54jHMfleDRC;Mk(&u(x;ofAFW%_ehdkwLbA1WS{IGw~%^Dl-DkSDwoxF zz%=2Jr${Ez=R+>+@4DLr580d+)1e;cXa8x#LVf+MQ19xrP?C$9*?R~2M!kFwdwQ-5 zFQPspucPy!`sdBI@S>r15Xt;38j}uRE@-KP>6ab}ET+Ej3GuVwuA}>`;mS_)0Fs;L zsB!~#zhYiP9gBB^Bzy68mhuwPN8zL;$>bzD`NHF4*vqipL%M?Gl{-5Bz;3%T1zpmb zzp|R-PAm)XhBj#%li+mO1*Ih0d_t@XuK4+7+EUWf^`Q~TXups3fZ=+3&%?a@RZmFX zXO?0IEIBzOwT%2dx^4x@rTJ#Mz}J65W8ie#?S&*;SGu$n_8U!>)T5pWXD^+GkA?j1 zlf00#^%pq(>)bKR$rtNI7LnYiS4|F3UMoKwmZU`IkZisDo<=w^&{&iu^E%}h&?0up%v!&cDPav)N&a$wZY9a(zuB#*Pa2pQtbt{@vIpQgl|L6r zw(e}@3s@|f+CwrQyaT5jkal0Um_ifBgVE7l-T1P`0netk}3jk=EJXtZ`+dW!XIHlP}*WgI;7{r-;m67T`9p; zWNq%RSujibxi!iE4M_=rw}cMgfI+)#UXxsL?Ytql&q`EfHEELb$&zG`DHiy`$5Ant z;Xgt53X-`TVA2OYniOW3kykATR+GF@d9^n@xHLTpE>ApON^Phfq{!45dAXfWUpn{{j7v z!?5lRw_&BDMm@=J4Wos&lQzr0%!TLD9&9A}6>70Zp=6lHEok0nT1#?WUNe~;WX|Bbl!Aj<2AC=+Xh$_}?U@ouv2Ijx{7d->BpOEP8bD63Km= zcc=`CB(Cp;s^W9yok%0!QL9MSvE`!|^s~8tfn=heL>0r-1#Z8gdb*L!F0yirydlXq z`t|RDoBFEGk=((RTPHh{k|~Q=k`0ubup0)S_#Q}g>n)1lCt1*;=o zet>yH*GIWfU!2QP4S4YF=FM<}v34-YB^8ayfD$uX-axCwM}n@@rzRdh8%DV9vw`K! z<{ZgfuvSTh!#VVkJ5opE-4Mw$Nm(jx;m{Csd}8_9p`o-}bU>F4-!8N6In zvWw)Bmt8so=ifY(PqOOD)?cB?vAJVC$*QhVi%I6mo+d~5zT*A~xNT|lU6Nm&>-G`a zNg0p!BHsqdYmr>xaK9bYaeI9nroFp$n`9MCj@836Ia`JHk#6%B&m$SP(-Stqw?p5L z!n6ZVZ;|}fH;J`S+~@$~P43BBt4?wi^0U^%*{4SO!;paw*GTr0bM7m6`Sa-kcuIe_ zk`MKL%+$AliL+!6LN2`b63M^ldszmLc-`oQcCU}h@29>LcFQVgm9M=I#;A@>B-z(7 zEyZyB2znosdRBYH%N!tsKkPGv`K#!CQ1WN4N*u|bSU~TCl9rM0+DXoDIBW7ja-uK2 z4@y?Pb=pm`JJ!?tpk&A+dLNY3Q=s=jspok-y$?$I4bc0b>pj4*; zlOi)WlYGK(XfQnIx;+E_`?mBg$%PnA9&woT&-ytVzMoTSL$cdWUgBWED8E#AeV=tT z$tYIO{Ra=M5mEIg?em+~lKktb`G?^2nCL5TNMO%Pl5=w~?uS|R@-qX-P?NuAB)c`| zwGYX>9N5|o_~qa4>M(wo|4@Am;*oI+@7`4N60pZS^6Y9 z=KV-FxKX#^EXf?m$>pK?j5BR;&yn2|kCGt+`g$a<;VkP6-HLn9kX*ou%6vF8{l-_g zNg{A;Ai4ecmc=AH+@-x8j@mQ!B*|!$x7>xri;F(~->mr2L6pBw@YW*v0|9I7p+~<; z2+953DR2i)eEO~)p3}${3MQu|o}5RrB2#v4ff}CprB+3$8=y7O^ULWc}9xcrfds(sAlFopa6t-iX_KkYv0hSEs=I zhM``P_up72A3{3iX0C#HGsE_g+`bFj6XE*7r6n-YdGh}_y7Oo({x*)|lNK$Al3huQ zqNqfcmPw^V3nf%qlr}AjQWTRcDN(kl2#G{dB1CeF~GVlJ3U`bxCGLQK>cDtNq9qc0Kh-gArnT z8c06)w4vvR7ixeuc_oOvYX#!(CJsk<5c1qjti_ zW?$W5;;ZKgB%h#mqY_HS9vSIF#t5#SPjYwdr55IUnHbhqnh{q{QhN*QwX+yKw_F=~Qxnv$v0k zAldz;Rd3;&h0pq6Q0TR(H>mec;@~68CiygH)2C3oP4x@OrJ0T$6GUoc*QvpTc^MXPR&c;2k{vB}{1KdRV(n*=ajH@n zag*G#Wl$L!KPlZx^5=VZe*L&W@PYK*d(g+>Y!S(< z?>7DogLbG)4yDt%iecZ=M;US6MMZzlgb z0Sgt1L*SpQv9Cx*<+p1GG_%?%d7JF0(pX9I(OMI2pyrd-0Ju#q=OxLFb-djQulLwb zx>eopN3x4gCC&*a$JTh6z~egm&Xdf8r%R)uy}U#* zEOzV~Ao&r!Z)QZ0xt5U|pmc_l1IevYH;sV9p{j*&hQ!$aNcNar-PA~O+Sl}TP#mOl)gt!+Euy=PA!i=Msn$_$4&S$b$2#wo1*=LWY2Sx zrbLk^K0;4 z?DgkRQv66A$^LhB)r4sBcdMKR+_&Y|E|SqM{BRlG)rfrx1N~gTko=zUJIBP3FYPrJ z!1xl8?IdSw(0U2JPRf1+C8pl~OtJ?q+mCoaCiZMlA(;b5luRL;&$vLhg;ftoUM)81 zBOEd2+Fz(^dti1fb-uN%*bHMxNve;D@;4_X3``2oVdz} zrEs*d(*fxIXzO*7JtnD|4zqj&8==OJTH(jkyJ(fZ1X{lH-wO-p9J@;LLgD(!uy&ln zH<)NQFgAgD&NUwwk!-ol?nD^urd0*Eb&8Ejr1O)^f6Rw(vtOIRcCE0BB(EOm5C`l2 zZT>`Ze@-h8L+y_v=RP6ndcFzldYW>cWM@pg9u2e49xf)C{4Tvg*lQ>^^C`^vZv)A@ z&HLa0qc1;*fMLTI3rTMF;T`|M_>YUHC6TI2MGQ#x@%@%lPeX0Ims!&8~#a7AF{O{o3zX*S7)ZukBHZAz@CB$GSluUJ8{&x526!*jwt zesJI6!WSfy^f9U#o-lA0O(8ejH`5_`MsDGLsP8`Bhvf3iGV7o~cF=_9 zH`ooM{wjLGkJf*mlFYyNpT593S_xxPNqVX40+O$hwAv1R?R4EpPP$F}F;w5u`5D$c z&L5FRoe>uuO`&kx78jCn-!nfJUM(0?3TMo!{R@3>r_D~Mp2Bax%}{2~QAd(_T^+|bL#Wu`cA8|y811?XTc0f{fO+y_y)fLPP3{GC9lBoW z!!+wqTauH{K64A2E!q4U&Iq5|30?jONM%wt;pCT<@MKl84avOH@C}6D;|^uP2ywmd z@W%<+$uFrpwz+R9OxgJU0Lk^m#$1PE6)vX3$CtM^lI-T6>LOWWr-iTq0XxP#O@uZlu2zxkmZtrqvdP`- za#gq@MbeyPo=p9D5hk5`8%OfpW*3HG>(gy>bI6oA3$~D)_>FNFpg?bicGz=ZX?MEj8r@e*W3JwfIg*Vg(P33`}jXNAwYjTayUIUVIve&VL z3123M!f&fP@4H{g`}2m z(`INiD$9}NyKI7^;85+!_fSpOu%F}#B4;YTBMT+}8N%L^pHGwQrOL#+@WRF`1tcSw zvac6T7hNV_L{4;+H;=R0BfO;f4&WW`TaJ*a0f_9)3p zysry{B6Bjbpnz+@canMc>)7NEQpo#fkMjV+l5rr{4fmn&x)N}O1(eM zu3P?Z(~b+!db>sp$^A?cDS<6At%I=oV)o23>J_x!+6bpx+Mk7?DH|e5=AyjPJNV%S z^9#oHS5EsxJt>nU1GqEK+YYMEKM+cCejY3G;oCu}pZ}lt_Q;e|uRXnRHI!1je;k$v zItP=?zj5X{aNWLz?eK5Gc!|%{lU&}o0-D{-JPe12g8WHN?38ULTw7?+0-F}j5UZfx zkNbahpycqU{Uj4-o!|pwDlex(b=In$ON>b-TS&|a{yEha1@AV$dQb8njY9h& zlXOP0hE$c_Y(#R~T;`sEj!gpL@Q&e^0+LOClH3c+Bz@(-l5H0bttFYi4J%JVq4l!2 zp;ThuYm%QP@xGI!=hJOJ`i+!*tR4g>iVO23d&0B%JN)@AYjQ1Fy(VNC$*85BItXLL zjBY?rhglgUU)=Vu5$dd}5UC?YW1nb|+(x;pR#47$zc*}dS(ZYw@f##-;qj#IarM** zp8ZxGwmILkgyD_nJxM;>Y}*q!GEuD>KAAFZbOUwrFW0NW5p@~n@UDKKD_j8n@|8BlSks49M7=GK=C>6q?BZvC->c&zY}wByafTc_dXJ5tG-WTOQ~_`=kqRjF{->!f;;snEP8)JE3d zKA;I38FmlJH(5(xfemkal1R>A*}EE88gO6m2bnwIybw-1YQBSHLtia)hn{mLB#_Lf zTa6WPZBM2^J2}hj<~))=P++?a7Avgh;CTNT4@s`#_uo>uXjAzR+@GDG)Iq)3v%QRA z;}t6>7}lkGpJX;~o$>(+q;>YgMEN(0oz$~%jWB}4&5mc_eZ#HcB)2MY{#$6EDA)(> z&eh6yQE&9uw6$>LX8)6Ldd$(=Boi}1KNp5vnAQd3%KD|csW(UaqaGBAi#rO%1>A#3 z&f~x?9`3AI(gwGyiHZND-n@vmWzc8z>w~cUaOe$^(R+U;0|qbJ+yvW#=1%OP-jY88 z+VJA;FIF)BRkAn9o!0P8for`F)xwM2E64XzZ-$lZV%U+|XGt=i%I`hl6Q7tT(58v2 zhC|!7kM5)1<45Xh@Qs+T1<7r^)a(lTDzoCD!19oCcs}72^B;93#uzC>xg)c-l8i_7 zzYEZ9MMVsBy!WI8+6rF%15K}}+5aY|b&d^#rn~F&VM21oPm=#KJ5aWt47zfB4aqgu zt~~+Am`o3WsmX&maBxCdJIRV(cqB1EKCSg&Nv2hE&k@)Yqa6Sh{!MyG^3zYWx4@*2 zxnhIlO3k~vBv%-6)*2cQ8T-Q0Jt}D=n^`id0TwEK75YOiyZT&{WMuzd-vi}Mj$DDB z$*Z1`y!mYTuW;k}UxI&0sg4f|N$%9<*d1_Zw5vOmk=&U;vWFZsDxrR{$jBkGpKYB- zGCEP&+n~_kEe<|CV*iljTZ%T6LFt7`|KQpHX3jtAo%~&C4E?t!Il<&i@B1WMs&L=~ z?6|aIfMiCt&|(ZZWqpqk^i3~31Luq04=4FWcFu3%od&Z$l2g@QIF<3H>y3BDuY*^F z8c#w|tIXRZd*owKF5IkP+eI>OuNX*=Af^5&u7W+5e~*%UA^#}|M$Aayp`FL&Hj-QR zeXqCxDQKj-92PwmKSZ*>r*__e$rtl8;Ba|(6Uj_p>o{>F`5|_THWVA4w~yo%PmH++ zcfS6X0taWO)soz(n||X*k*e)Biy^;p%`TFC`Eu%I_+@hc6Zrm8Nj1rAZGJdZ8ap>RL*JKk9>69A zfsZ7!o9yigA`y4EB+jy%xyat+Bl7zdw#?nx&@pwd{wS0oqWFtY>R zt{jpWk6HIKOS1lmz+h zZh5*>8Wfc?ZGdNNRfUD9m-tO^2|Tm1ZVxODOus@hgQEhT!PEoCzCwWv{jtK-o2IO= z2$ozO*a2GxX@8h{(>KK@z*mX1KTPhOw0ooo_5Rpt&4)KW(f%+wW62MWWS#`Sen|4m zGiiUAOr1*m!{j24_J`?wR2}UPldhX-f0%54Li@vXzHKz^50k0(v_DKrl*>Ah%qV5r zA13pH-@k=YgE4(1Kd^!JhslH&+tF!8qQzMzHQI9O(hS8pvNdA=Fo=5OSp7!Ve&q|X= zNK(f;uw5By{>t47Z4K@^ldSXevk#!0l*vc9-bUpw$rx3Rnk_|EX@A`W|9U?^NAewm z*Y82Q9Y>0wWx=Z7BxfThKV6!vJO67v%xe2!PqNv|V#A=3A5d+Qav&f0g7Tvhl6Nm)lE+iuKl$yra`6Rs0NZNQgjxUC)Zv#TLO){7wje3 zSC-?iLes>CXK;&X=2w#5rx-MLDydt1ViBCXz+flIJBKQI!2Yg339xF@r%IBWnfZ9+ zG;&bx@_e}e#9lL!UGzccB4pIW<49)FosKft_b2Zk)ZZ9BM}a(=an6L~N(gJHo=o0glXD9YHd)q^1_aB!}O9Ft)LHsv?=C z`EVV{vq6_m!Pz4%?~vRAQ_VaW`D|i0JU{)r^bFF`E@u_V)_%NwjAX{%-Ixt`{Zsk@ z6D>zfnMs|Y7gfvQTDfP3;5DafekAvy>c9&)PKRxVt3sqjXJP))qfN5+%--#TB`No> zk<8VxF3;hV)8=(hy=>ux+0;vACuqQ3evP}}(Vv-@NzPSd{TL-W-|jeL0X*~WuLV4+ zQhteK@@^(Pg3o?k{tQ*uS&f)O=bfJEsz8g$Q%p%t?Np~T99@$C0De}B_(-zCcO3u1 zgB@FD&n4#?&EHHiTT;h3!iaIT_n_IKv?7wXE%W;gpUyfuU70j@TVqIagY{ES!{C+u zVKD4b$s73Q-@_h~-Dc?~r$TNnu+%4+BQi^DVf$IpTd=(G`zw;)wCYs{v*l7hYUG%Rmy1ZoTPS!Z z)U-V50TbV>PbB%Y*)ywPmfO(C1*GYx^7$l}#U`4;v@oxWa7C9@9La`mU-}7prcN1# zBgS>jSxCK2_HRt!+>a6G;fZBV(Ij7XZEG=%{xN@$8MhLHE*EH%WHn!q9B^{q~t3B-8t2(-aNT+FIfCg zRiogp9KrV_!;97Zh91Y$r|Xi>D*O#ee%zd6r(u?x{#}x*>zq~qm6i|mz>-@Z<(85S zqvG{R)_t$LEu8Uk*DaDslhJw&4IRWfVNGe9*{J8q2S`S_YGotjG-X9rkO$oRmXN$`SJ7U$*D&TP$=!?L zl40G*?cZRWiTXH}IvZXHsY55J=AH1qeU=Bw?0yxT2*1xeRRsmT3`eb`o?O#RRj9i1 zpBc%NS2zvo(L7Dhbml73>$>Vjm_HzRmgE9W>mp$9z4SsjOE};^l5IG2Y}#rv^tHYL z+@hdhM>3<&58QzXpFifoTsFR&Y8mxomUzKo1yllNJl97)hUW(E%i;`!+d|$ei+y(sAxpJ!fkbi z@Wzw$({PJWz+I9TI(V!A=49*lLVGy{`3=-lbQsWw?@B(}!Yb|fTO=#w>HZo<*X`yEUB&G*9|7^2?dKRw(N!~0vGz%^harh3C4sD*iiF#?tbC*G1`H=@no+;lT zdzQ@6Qd$GWeV7v@XVp*{3?FDE<-oRU-t8nir@>m{9Jxzt1q-iVlR82&%H2QxVdIj* zOgQFRR13-bc3lv2B(;~A>5|;@kOkH-yK|f`+@aZ!3JZc?)RXM1jzA$Na)ZVRO_GVb zxo!`f`)&FaIC1fxBxo5_Rzvb{YaR)nCxuwgg(O!MuxAI1`mXH`k1U^@0O$C(SCDLd zORm5LGI;6Tc_gEM!aYo04PQ>VlGx-o3%JnRIm zSFO4a9j?fIAX$s{|N7wv_Jg7ebw)4W5l-^&?=F4|Q=5hR;CS5@d5+G#zQeDDVGSWC zVeJyT+axRFZIlZ)*UsvKu8W7IE>bW4a)loJ_~pq_xM%s*Ad)}lx1WbIDwnmvP#sBe zSL((1bT5M|KNTE=ahmsTknH^{=QE&MiD?t`TBJ7d67}pn#%jatmO3k_uA1RZ@Ycivuo#Aa9k7HwGfO>5_QBcsCor$ly&8^H*ge{vdNLQa)ZmLU zF$=hD&JS0T|KapH9$xqmT269;GaMKX^4gir%5cKlxm%&M=tyUh{bTzj1|EK$TtYIX zlD>bShRvZ_o}~ZFm77T3e46YzxZJug5_+c=y(2k2>6l+oYB#5FncVi&Vm-W&MN;OoC;-$n>Wt*O2^&(S|2rjrq(F*b+CCLvkJe%G+U=aiYW( z@_UpQ-HS{AkN(^02-GlN8UT|*r@SPY!0yf#Xt(N(*i|y^UW6{mPyOy_4b2U<`ogC^ z^V3MqzHUqd3|m<%lRMELAqQUzYcb^H=HEtd3l+);pt03x$r~% zi7t}OTx=liM@|e-Tm>&y{5eW8JCr{K!BDTqJRC0aY$N$M)Aow{lfRsGmcwVolMj)c zz?6;~P{BSg1HR3@+eFg)<!z}$@PvDLFAF4^#^ZSF*L1dGTs~X9~gzT_@*J>7Dg4L=b zkN!VjYbhuBT_rqolg=OdXygq2X3Ty7pV<$WknG3Yia)Sj;_0klI{)wB)lE<+ZT~sw zEV=w16yG6PMDoJ%-M`?8@oyDEsPl8fz4fp;KQOp}r))M$jP*Cf}MX97-L}et{+MobH!Ba79S+ z6_O47?(+;f%sccI&cCv9Y#8-URLLxYE9Lukzy`-6caj$`j81?bg}F+&-^OC(UFvyc zESe96q=n4j(;ZD5$-a(z`4DQ33oe823{U08sV#1U z3W^WKqsS{KFD)ne9q)G@f*V9N{b0=Qi7!a*@Qch{X;f;&a|H4hhgR^3(H)2}ZCYW^W(K(W_eBp5q+DPpwf}s}LzoGhrNz)%vcfqLk z_0VKZu06?B_=knTZS@XsVA%rW9+G|Ptt=NuDpZfuhg0QhPLNEyLrMtzn(F%sE*3o8 zLGnMX^d#fS5BFqOLb0B{BP5r#;e7zS<`eVs|MM5Fm1HfnwoiIQx_GEBg%M>!2S_GE zvDp`v*k+}{Z!d!zNWN9*l<;G+bGzXZXr3~2FUi&a8oB~i!xO)f>^rZeI}_-f=G!SA z&~{c=!vANxH5< zFyMU*rfD6x33dHfWRt8xt<(>grPCvxOdV6l!sT#Fe$*kDJl)xkdeHsjG{ zl7BSl@f2ok-SY*SMre;orJhUeqy_MTPP+vZ^vu0PveWaz9>EC;XFtP>M~z3MQEzvi zvI^WgdXy>5H?DCe`Rj2h51@0K??+gsdH65M`CQkVolcg0k=+a*%KmqbWH+CFe-CkY|mDG%;}7K*3jUXVZb80tgg z^qICKyK2n85SY9A^DB~(3`^{Q1K+(QGszXJ_N|1m7njutLA0DS8||2q8AJ|>-H9JOj2VAPp3;Vd%pgWnR8SCc)u7s}hO zxeC>vPE97c*rDHF;WUGiu{`M&@Nf~y_I|sx6B?^ndccG;nu#PcB4=V1+$8*cWHuRM zo-?21^`G1}gW_HG7vXxHjd3K`>ZkMxMi(=~@QrNMoE++z*e995Ls{PEp~#SRG|9M` zt|*3A!leeG+}EEoUQzF&X5j{CcQMKV?tOP5g5=gpniaxXRtx@vHtFN0y{6u$-}UR@ zJ-rvFNZK<9yaQD#j_1K9#dY0K&}q6%F7?)>4z7Yd0%gZYj@j|(CR`NkkqsAj@BRUE zbhM}BQMb`y(hB(T!;eG%pM`S$NM^fP*b9=st*NY&PagIexu4{+D!yEUVlz^n!`;Vx z>)`$8hbFwC&X$RK8c^Oyb~njv3F^BHJ35MeIb&Z~oP*aJQ&+GRgA?mVbkKk&@#|s59?J_af-L^6gI8 zeg2*Y%*#EWNV22kwpBqZGqq74sT1&MtSU75Rc8jn7iL@}`ApA%IC!x5*e56~y>^)7 z;`S=cEhX1H958{Odp@2gS!><+X!zrjdoeuxZr32mY*N&kSw>n|ifx2yNo@`!AMoc@ z1iYddS_n6LpZSmEqRTc-`$W1;oNEAetOe{y_WYyjJ8*sLvpm?k%%_`VBs>nvl#^vV zyBbjcZ;MRuhhEznUqHLC z%x01?Z4MHxAaCp1>cG)w4EB@k@jvZfDrvUeoHwS56bQb%04jVuyPf2Pl}y~=)#ECU zN$%LIQ5Dc`sAfbpS+n}N3S8xV-IQb_N)Nlh-!iLWNyflRt`z#m{`VJt>V7}_3-u;x zJ=hG5TrN67=e+GvBquJr_&t2TRk$CT$2L!|!T0RWGKAvFA*bOL=Tmn{=6bGS0aP5G z*$Xdk`6u_4dgpF^)`!1K6K$cvoGZ6TuJrE|sc&>XbXC_%_~GUo8#uirB9LUNC7rV1 zfX&wL@ZQt;lWXbxmmg!6!R8gU2S|?dNV^WBv;5NGoykWVVT#cjkvi&yhfmdlGA+ON zLIs7At0c2C{n9sR(z|n9J@qE9)l`RvuT8XsYx7z?NNzwnClM~$bGr(T4zVBAK%IN- z8&qM*A|-Q@+3mr&!YNsmaZqJ+(kGICVD3E(*Wa+7+emKyynGAEr7KHafX{4yMnj$0 zx5XrT{qMa&ct-ES%qFtcaoa|cQGKs=7Bb@FBB9Q~`a+WTy_@kLG;Ru*)=Ubj95*1j zG~2ay@L-BUC>-~9Adh6@R+e_dPv_!gTFBCO?yE_L_6v@~1~aW-XdNn+L-JMiZ9ibD z#_K7qWXiG76(lE@bmlN@9=+KgvW9arNp|)nffo4XQ?=-KQc*Tphh+LpeD=ej`v-mC zn>IF;dN;IO?cxOwdYLDY?5FC5HSpl%34%Y!z2=Pz zNM=)L=60xEALIt7DcL?I`9tRnD&WUNMS*te2#x%!0*~l?GKC9V9=pKpC7!V)D=M+K z6q;<%86ufOcPA@#kmDQMH^Zf}d5&=TvAa!>JplBO=BjNp=z zn$u8w?DM-Md(Y^40X!LYxR+#hf6|lhB9o=%*1{7u|JjnfQRMqu(5E@(HC(K9v6JKm zk8hXiCg&xo>%o_!gpZPJ?YibbIOv^~1%*n2zmts2lv9&`k~1v~mqEqQnFmQep>*gv z6r1%q9S$E#Y$UmJcfCY<$XDG~S}=6+QY(@jX*0zeE_>0L{QsGG^NnQY8%K=mC7nDS z)#3cYEtVv&FE`&4o;Mlu1Wpb5Rz-3OEvcjWNPT%fRam^o#++nxo~(9-?0@p{aJ|a! zPb4$veDN^!%Zi=*AK5Q(X$#4l>hHV&N+3yLyHq}J|xrd#4Qzm8nLS$wrDO9`a`{)=R`H3PQmxxQ0rfg z7s-vMe@?-_uBU6DN$y6$ztj_&GG`%dGZ?W0&hxHvBboB*q{lE^^jZacZ*o9jhm+OfR@r*O%WeiwNd8=|Vl~`1=I^M{ zblFF?=R zXJbe{^}TTkG?}RKhvc?ej+!M%p1NMM5%w3SoQ2I(uSb$>pYh>$@PMD*FOpeWE2}V; z)SUdE0Swsk-VSbyhzTWm-7+p8{+z!3C&{T>smqQdPeux@fid+>$KfZ%tYDHIwhGRH z)9;;ZCmG#_^%CPr;~6tqm~T6D7+T*e_a}L)hJ;M`W`S1=$!*+cB{qS4kf^H*eY(Z1 zAv2@Xhh+6_^HZTzVt75toT)!2Bt%B3ZPA3k_RiY_<0D32A^C#NuSsy^^wb)Xi`{cW zP?$`3bYvl1)3Is?$(GKOcZU{7e?5lPaUUv3#`MPn0TD7^*>xV&II?3K$#q7DC`}|6 zH=i;l*{_R?oZy4~v+hH^C;#4)%+c=8{ZLWyiJ~YOfBcFO$!9;>cLwhJwv>KV>Ao}- ziMJ&8`AAnUEQx(1FGjvx18uCzDgFikFdWs?@`SFn#}}8}Liu&J2>VD${6!n-wNb z6eo8Xw`!5RZfLd@jIF-q4etusr;yw+^9{A|RnYA5Q^+ZwhSf=S_vA`T7-9U>lVra6 zUVQ?myx(69R|zd2EkT{5>m}9TU|_d7e2`b*N^;7R?!`l`&F9PEN6wUyq~6kZs><-~ zU%{>Lg-+cCl9}X@9s|8o{7c}GzN3FgK5m8nEGbgVcG@Ob{iy#e$&DK*iG*fzF<;c4WX9Qi4~4fM)lU*+YG)bmo;MgA6pt<%6EU{B~ z1~U=|YDoT0$49}b4<+YLZDhnfjYiM&y1n4*EJ_NIrYGOlIjc(HX|&~5v4=^50U>NThb<#J1pLRY#xMDl{mJb27D;R5?+kz!w} zy-EJDWO52zx5cLxR{0zpKbt{b64~|$S zJ7*#Frn>bR!*`iQP9*nrRLp%Sx{&(-A0Dw7fLc+DW-Ov!PR)c3aGhk+8IsA_{4yMB zUAg%dM!&M{BYB7M>!+%d$24cGgZU@^o+LT}@GL~`u@QGQS}v?c@2DNku4 z*+~$-K?>W7FBomb;dkuaa?o0Xqto6Q@O5*ek{BvEm%r28v3<= zVaBPn+0Nv$yMCKVKBdsc5zgsf9R>YnPJK^umskD%4NWc-Pj?|7#KszutW|^SX}DBi z=UwQis!>2Pa)(5E;rf6UIgS)c;`K>Busy^UCP~@df~HH1UX$Dh+gY8k=*~aMi{$Q% z&nrnbyD!lOCMaA9B$*NPTvBLvcIkI$5H)48D|N2abS{OBfASB&NTrDDB=>HQV>%RZ z+0qDKJe((TiF)rFMr%Pv;M-p4Ge7kz$;esUNQRMaN4~*;%vIyu$gpZTb&{VT_-iMu zS@FSx^*=?Cqo6si)DQt_mkk5H^QttC}y8OxN+OIQYan_!C@}dvciM z_jIqH>p|AfnYjhJ=?|SJIlq(T(eQ6_f^d!rbbvMFw>%`BJ%xt@k z2zV$iuMldM-~Er|eS6PNyG*93m>9ql+f?jGPX6MkQ1~jYCJzq1N$DopVdlDw7a6E> zcs0pHaI(R0T3lZ?ocpHe2gwf(M^Cvz?osAeK$Eo=he=M{WsyHT5<4N2Waa7_n_=fr zrs!32-kh5{B$Kz>c0as)-oOV&M=Pe1yxP}4b+B@QC z$!#`CHif^Od|Y6_{e!V2tNej2g+@Q5hv0I>-r2s?3lDRSB6;CAX7AzWe+&9yfy{Wt z>vUdnb%P-+aeQ(5|8rE}U6TEtb-Vyx{k66ircIkJe}j5Gl@36H<0QGLnS)m1$jHRsLT+g3ZNp@A_+hkbq_TD#= zNn$RH3nZt{-KGv_tX8vx|D7A_N%AILi>#*YiF_HEUdAc9SNt!4i}P4Q*p(A@LvCuX(6PA!c_x!PiMa!$v-=>EEI0P zDUnZd-cP!^p-1x@nOmf|NaSj$I>+fa$x2yn4Te5$^K(e%df1qDXjS@c%59P#OkF|p zvEqJ*p^br!KYU`lI+Nsf+?Q{G^Rs@5-of1bL5F1jlZo9AW%XQrVD63`sU)-Z`r>+M z`dnBjlQ)*yNF(fn?>abAcQEM9XeiR2U=4Qt@oh?#<60mBJM#O@?6RO%Z-pSWekOTY8*+%N$PnNJht%qd#Gl8xS!-8X9jwH;I?8p@iDaPLiKsYAbb*Ja*YY54MCW z9woWlygz|(;$T@8JUQv{camM9ItRDIN;p8i2gk{NZ5 z^@Q8Qq@TdWDLqvr-_%+-Du&K`nwz=8M;8{vL$$pAUKtmse5|Uq#G%yGszWq2emOAZ!<2J%=;_hdmoc69rxY1_GJCY4|75xQs zo_(M8kUF-NIR@}y_ia1)O!0ImT)%c>KFQncQu+xkuQRf7)Tw?}xf(VVK0OZehpq<0 z`HI##B_E8qZMa2OVTj`WA){yJrn{KNUCEwI8^RqPRU{0<4~ zLb+SD`{AOOX+E&5%rBK>^~W5ohpUy>2tB4wIXhJoE;#jjHK43%+&km zLh^bCKF31dE3uU1BGbKwpww3@r6=U1K3!w@W#$wolGRz)83pBb<-aGHa-Z;iDEIW7 z;#0CY-^2)B?pHZO^2xHJ!{LdAUkgZXVDIx@IMMyOd=lxEe0VLKQK)y4WT$t^-iDW^ z{`Z<>gcrZ>guUBhq@Iz>JUKm>aL3{($)C?!6a?4TPvA*Tbac~qn5Xn|ax&R!c5@k2 zK4yE6WZ(E2+<+gm6f;QXZ`q$l_-oWBkreX0(qk>?v((dyKV3f1 zZel?y{Io2xo@714=kLj)bC%g-u0WOgZ%Oc{Kw1raKEqFtr_RyUHVdJQ_39lY_r_h` z9Uh4O^%(xm`%nS>S{?{wQ&(ZE>pU1XXU8^@kuzA#!GC9jA429zb1BIeJkJ_}N)^FM zIi%Q+lg1=hC}rpb#k6PMhYf~9?@9LBx$=IP5t5+ziaZ^E*@$F@EBBs(@`F0zP(?=k zEy-)?bo4^a?RoOA$;FO$*OHv#t+OYgXu9!j_^VPmmt@}!jO>Du(lt`Kq^)*}9?580 z_#TCQXAcEIiRhI)$(yChw85dzy_55(BRINf8Pt}HJ_yxUyWD_j`^+;)w(#`ACYT&K zequg#X5=(z!C7T5tY8-tvTien58Yn5!lglX;z>R<=X5#ruiMDHrH*i~k}@=# zHexF*SWtBV-rSTFL$W1K-X(CxHS0elvmtHytU_{Rh2$ooFMK%eUn=Zd{JEaw-kKx|6_dfXUYhWLkJTQMof)rt1y&V^ zKZBQBI%-Hpb9BC730bBXz7QT^&+Q=jVM`Nt`17(#0-O*ss*>cqQfdS~lKbjX=0WS9 zzS~H4iQHih25Rd)gboI>WhArEzHbOR+$d5iB@H5?jY+<((8UQ#eK)@ktNIsyAi4cB zCJaDFwo$Q+ylk0iM6yASL1$pV%@g4ybLH8(w~#BD-UknK4$6NbjV6?>CHd)d9-V~0 zS9{zhxrHZo=fX?QT3vAEZ87O`>g~&I(}VZRULA#oKko#QjH&Dyp5*`8j#&Pg6y>T8 z!k*Zq8zi?U&pQKJeX?$X^M;pCtf2F*vQpZxV#!Y{ICbk=Z<5(>doKmv@;+Y+iyxSd zucY38uT>XA**d{pBzJ#&ohRHRo&E%7>-ks1{9Q*!S5eR6*cvsM5j53;WMZHGc7-#t zi{s(3w%Bs`x!;wkrf!t@PG$IYnZ{PQz(~ZIkHY| zV7Q57&JNE!2gk_%i-g{qpWi_Nlf+*n?{LgZp@wX_Y_*=`Rz>OBL*XLvF!;NwBOk8$ zmG_gR=Zl2PekBX$om)dPHl`*gV2G_s2;Aa4>J`a3d|8qc=|6M? zici)HfME)~{xYyksR?6;9 zAo;2}T9r_1mDtDza_~soJd*q3@M;?jx_gI%Wof4$l5BL|#xlruD*c1U$BvlONIh@G zDr5L?X_6Dqkso1?`1@ABBUn zi-SnEeM2k{e_6P;kxT`*L%fw-erxe^s1+@I2nrN6-yr!-%~=^RbU3()o<6 zPA9LLX2Cr;^4GW`k~u8W z@C&LeexcAw3a3;hNTyot$faESFZ+Hne70qsi@=e2HKS_tK3SE-@A4hi{ zP1W0maeNyJNvTLwA}OgTDJ5k~BoaSFMJOdjkwj$JN+Kz#NJ&&e#!w=|Zcs`jDv_j6 zR3s%O@!r?_*JnNFxWArdEtYf69+ISTw?mt`5hqDz#HwwDFx_@}D_pa0qC_wCjL&^r z4BakQIKtk-q+=x4*6f!LyE`nKp&c_%^au48E05HGD(dfSVW8pdBP7GRp2~)D`*$_K zr*Zm1KdC2hW6C^OS=46@x4*0ANbc~jlOKW6%HpWy7>B-b!WFczlk zyy2mkW&UT9wb>ad^@mIja$W(yoYi$9nb{eWqM^gR?{{G2>nH6bFF$x?>;PFK9IzCA zl(TjsImZ?1k#N9Jv;Z=j-?xzLR<3B&U$QOiv?j?c&TzAbIr#=*F!YIhF0AP4e?#($ zziLJdlApw{tCO6V`r(bxQp@fz{IhmZCdrC>jH!odM?NwC$ht^gm1N3u;;f*_L(f3? z_>D;_$*=f6qZVe29Qq5#PpMZPqMpZs95eXPFx(e%JGWjT*-d+wRl#$iQvGmcT9?8w z^@MLcG={1VFL}ZIjspoKzrE+b3ixjPoL<;9OLz)%g3fbLe`^3c|GVW5>zz-=k!<-v zm-{e1O0Nq_pOcdjI6=o9Wc*;E^0TMAU~6mg8Isrh5?BhYB{p+u)xGa!!%qJT4J30g!Aoca8JBB152ievX#;OI4s#@5 z)cyK8ye*jfg5@UmQ~)F^VB zLhK5XJ+#on1&+2_6Af=|oL)>a58VE?!^M#=#)^{_(V0t0z9c!+2~Kz8rwq3QR}qehdHg&$~=?D`oO?P1Dn?=ZMo$1Im*g6ve9VBr>lkrJeXSED+~JD$ng z2!CBWei%;5*q%vpf=^e}L#|myU<`SzwMUg?w+TJ5g7>7a1d?>0SpQV$t-Zb$K3JABxd67)S z*t7&VRq9X$^jT=z3%_e=P8mntl{ONFaMI3??j+akR~842g3jHCehGWKNOnn%vCMeV zFJDOyo~aw$MKap$FV8@?&a6`CEE?89@;_v^jGsWZFVWV4{W=qzNpAPLuP5Q^-Q|T) zZ*M{?$zD3-BOyg@Nix@h`pL7mkj$xDf)Q}p%QyLOL_>Zv$!mX(6qP2Qitf;WpJiD) zl8c`z8ww}t^k%~urj-pOJKg@O&_q(fJzyRj!&%#q%wUvyF#M1tnhtO0zJEdTk@t&+ zpzVv(Dl+8FdN&J_d)H^+56_OAb`92x{eDKWowJ_*fk&5ISDHkfaO=aSFnyz)4_vTo zQ4*XSHl~u~XGDDZ3C~~PWg zOwQ4Vd*+1ihN5e>#=;_#Wp_!w-d5@h-00gSHJLg;4nAA~|3qAJflg@$qG4D1f5jyG z=8oz|c(+nWatd`Wy=hts_kX$R1oi)(h=gL|E(Ij7p`!O5`m4%`Po<8k_76>{WAoG= zdT&e)gQIr_=928lP@5)r=Is2D^3=H&D>ffS<$u^n@{d34u7|UF4F#srT;~{tIq<&Z zA1f%PP#Z|Hc{=H-aQ}*sT6o2D^B_sbsV$zVKz?!^YYzYUb@-CJckJCOP%`d(6&#bg zub<>R9;{VVBzw!1O<>E5Aup0u{a&8{&-CV0!0Iu_dPydJs?(I|WVgJIA(UJu?LqS8 zYr5m$u<@h&BsXqHVi!!=?<=E3KKHiJgO$;9TuF9KlJHq*d--iC$t*9u)dAC=o*X}e z+~47%19x=lIg@;Gzg!gbp767f4FG&*=5vC zlHt8uo8eZUV$qr8i|Df&B>y~dj~#rLwK^1*6f5MAT>6tg4KVz5tT!k_ETFuVmp{zkVtS3_R=UrufffG4 zf1u&9*GjXgr;>cb6vpHp^MO&hPDv!QsY<63<}^z8!RW?rc~$D^_dPO#;ett?&{EJZ zp5(fwSU!Z4Rp<7=s@Wst=1|XORkJ?a{$Igvl6mJE6$|&e?z{`#53KwGA4gA?o=ZLB z=$|X#{7Y3Xa7@OvXp(EX9aIdjmv8t8J!%(7&ZDl{yHVP(?Mtf@jQ(95Nis`D#1z1l z)7;;~*K>@-)u{JJRdEsgvTDGd z$y8nFJPcFL-^+v>^DorHlf0L}eC)f?bPnu&J##(DNwyCM!t+C~Q{k$AH)^4USi~U7 zKA663<^pn^;&OA6Sv7B>A51X(b_Gr{sHlR!%#->_UTc@1q6Qh~VrfEhJG|!Zho>S( zT!L>Rnkz`Q?`lCWypj_&Wg+=8Yo{T})IVD30e9C;J`ayR|9PL}4}7lbg57=BWHia& zKZ5i~u6FcBS2%x?##wkmNxY0?+tk`RpsIGs_(f!sMT`!~WSP4=ll+ySfmXOapiW{j z&DEdH(1M+}v~H5@r@NBx;Lfs6Q7xLgQ-4nb#(lV82YtG{LZQKL(;Sk&);F^e)<`hI zOR$eg4f9})bgm8jJTD>`hAr8aPO>xgm%oI?rW1!r#(2Xwm8E3G)(Q(~xI4)o7W?>J zBl+2fENkH3xVZx)*A+8jhBld<)ocp?-7fHf^*5uENH(}?XC*AFU)e`8!7nCHTSiX! z`qKz5_*LZzTYIm?lf2z1?jhVIwXuif1|>D*bVz3v@m0`Dqir|IX00iSg$jl-cj1tk z`xlaqCo_^>PF{9W)P;__2V6*gs!v@stm86@VeqjdA4%?XlD*^#vizc!HndHV+(xqN zOFJW>d(piDxbgXg_asx_=q0X8HoP)j1k<}_I*`0*|8N)_=zX0F^Tl$TNKWKG^GOHD zaptpE!U<-AZX_$Q?#)>!WSU<_GF>K-ov_Z>d4eyQxkh(6JZv;+2g#eS{vHJnSw1Nu zIo9Gz8%#A@zr>F^>(;4lg(12k$Kf%PmYXCq#klYtT)Zq=>>#PK+I1nxCmF2T3{w_Q zJqiO>{>mY_R`yvVOk0~O>`$Iv9;`;P@0V@b08g)8cnEG^GCG4~E-Y?;2^Xy_9fm(N zVrK_XPjZ2WC5+Ko69BJjPfsDam2>{qz?{V|2Ha) z@!WAw;S|-+eK1h&{;&lMbfdWzh;%IM4f=#KbPB3qf74t$rtp?jXq31{`q4ObZUF*KyuH! zlf$7yb6_4U>9BcAvgz&fMM6l$mtqT`>$?w|NM?D{oe(JAa3%{rf4TcL$)Bh-6g)z% zdNyq??5+I0p5)F|JP(4}<=4}o&a=aHB)hfL?jPJxv1nE(+4x}0eMF__rT6q`bNWWv*sFCfWDVVL#x(_$^bz$mDa{ zt4ZemnF)L0+o-SS;kV=E4@mxJSVA}a72-1~9Ba;eCCPpCpX~-~4hY7;TV8L%^1`V%NZwEFS0k*L{Y*HL zI%AYm)!CbgDPLlm?8S6;a_odcTnEh7r7s&`zc20{T@08zL17B8M*as)v z@w!Oz3inMP!J?9x-$~B=_ORS3vN8AdDrlE^V-LwTrW`v5i?f~X!P0o0uOu@gR(fJI z*`3g>3tvY(+DY=tp^2yAn@HahnCWNniR3Q3|*R>2R#-Bz9qRLZ5xrZD_`cr07_~xg;+=ahf&M7yKOr8~)a$kzAeN^*Y$q zedr%_?XaB{OC8g1n*Tw|HxdV7;fs$~N#^LAvTC^h(YfF75x;l(IqLa8GF}Tyc_nW+ zSU7lzS(&Prt7EvPLqvIS<0cqev|de?gj7Lr_l z`G$-HGBanvEBGjN6myB5Z%AyN4O`C@TSDK%X9Gy)UD%!!_>x=w9Ns^m@R#IMJ^su{ zBtu@nN?6w0q({EK8?uN|w9M9OP*tRWdqoxA(stA*z;LSgxR zkKjn9wcknpq@42P%Ve7H&?=HUEmpq=iV5VLgW_Mp?!mX;wtOX7-A~#RuaE*?C$J>* z>E+j*a6wi1Y54AWLJ7>gnlct*nx>j9e6vL4 z2t2Fal0~xbCKbMhf2KqWrjS=AxXvY+o&9}jB;VUrT?f6|QvSj2Ms8Lr&2M|Y@jqDo zNaG;XEEP{C*@3%l)zJKQ$#1wgDQ0>a^*XM)uZ1%&7?RqBCHE$!lYi%3SPAz}^m2n`vZgU4 ze{Sqd9_|`3+(~kpf9oe?kiU9zmcyKn;XB~grmd$)R=Fcqm4=SlT-UX*tfm(B2+SseMBZc&O`PS^T`LjS}e&<{3N*xI=<;V4X-`BS3)u^_b+^c6K{KsyGgFf zFkMFSI}>MahY@FnPmr8M%$>w` zkmjSeaI;FHNCA0iw(kOxXCy6b;X|Q0M@YJ!vT!!c`rY*U|Lf+Pg12css^!F7lFg{w zVGRu*(Ya03X)2Pv4tHhs)PTX5bR z(-x8+|7PZ>GMZnTd*dk7jy-k*Muj`QA=$=*IwN>eVUM&r$voNJy#X?gj}F0ys}eKd zhE=|=NZxm`1#_32HF=II$tBAPTfywnZv&vg_nRsIU-z7NPO`}#cKn629zsN?%k z)(qO*?mYm@<0~)2;R{!vl6*yEz%TggxV6H4>KW}-H--aSMZKWZ*7p~ov0>38lI_qs z{T+5McANZwI{qpK2Jrl7d3P8h-hYnd{|!F72Zi3JeuZz}1y3xej_&hKEL?DN;V$?i zZ}b_G)k|(Kfk$IXKf%XGW5+$D-f35lWpKf+HQS-B?evpyobKP-B!7PSiw`hEEpzlE z>J?23T?~0i2S->cu;duY-tLvmhu2y=-@>RD_e3hF(_DLD0lawZ{o8+0< zaB9r(Yv}I#TJSOTPWjxJ3w2$NSwmkFCyr!~uF<&;6}6>bz|~W`|B=k{$&Y3|A@7SP z{s*6TA2>+zxnKWFh6-<0pTT2QLVrlEqoiqiCAl)|=300r;e`#)3a_F7NBjnG*zmal)m_DImv%K{%i+i-BVA&J#N8wNKVCWQ#))lSvd9? z8MbWnQj%4j)4ml}$dw+4_M>8Nkxb7Y_ZH~gX*8;a{QX){ljQeS3~YvG<#k7)X-dWo zlFN=c@&@{zwjc4FblR__PO>+)Np6HrTRIQHrTX_WNM@hLg;!8Q-HWLupGlgkl6=pw zvK90m914I6&GjiHr&g8o940;v{|gtVZ&j|N-no=zX7E^ylrQu;(sh|+ti2vSg_=&6 ze!-Cz2NYgVPj}sa#xPD@)eG9l3nh?TfLzlfSoSynJKXs>a`H>+`FwOXfN76(-QluZ zlj2BbQSSG9(CqY+uW;$fD-&N)Z>5Jn3-j&Q?;^Qlo7B!gZkb3aY@FTliKG{rySCTU z+^!z|lQ6M)N+EPE>-zwI7gdjbO&!^^l*RDURnC#*)*RV*3|j8f$cN>7#G9dwS(``$ zbxoI-EP&}tVr)r9S=Rjs6cI7XhNgmw4Y1(DAHhcIay7McVQyu*HOUEQgmADZZu52c z;>_X~BpY~W>=0D&=$Q3}EZThcKay!#e*PeAT(U12+Ra@14DK1J{D0`{FoHvUbn5e})#tE2Q3$uP?}~AQ{z|o*i)X z;m4<--`2}_NdAu9!FG6Ljn&u|@}0`Or6eb&G|~x{jeU0 zsbhI>r6%mmnrsh6PW(Iy{~WElLGs>S*WSPo%b*b-sAF%sK^;~sU9b_V&Kz|ZhKz5` zAlX+#cV596U(PVC)Y(H?)H5N~Q&p{K2%}DR61n^XKqU@b$kW_kQ6 zt(_ShVYtYbWW_bcT!9xQKRt!RV*D?X`QCR%V58K#CDQhZ@ld!l+j;ah{v0bzFqK{{Oozl zmSlf!K6wQGGIGg=Jqz_3NalmQoX{7tM(oF2cKk zeF)w^CaUt4>^k)RKaySOSacA+H$I(AGCx+jJ%h>$27h4LD0!tWvP7_dEy*{&d*%)8 zo}?y{oZ-FTCvfehO+R5#_(J(^GAekq5y^JDw(o^T)}VyJRobL+bl$tsq%bXGs@Wwz=~Z$^55%?+!GXaiJY1Pxc!7 zoqE%MuU!f~z9~CFU1Wh!kd%6KZnBtPyUj8#_!9@eWc%ugJv+N#LAcCjPvJRfx=NEtKf9s zcfUwB)%~`@FS2OEDPy=nbC(y%JXFpn zYZ5oa!R&(z?!(T#qq;~odsFMg-=x6eVwPl-=APXJpG)mI1IP9lmcpqYr*)8gQT6X} zf5^79=gUa0@zV9}a9h~nlW<+2T_LpFxTuw6tM$f643Jl~J}oAhQ3|{x{5^2)7%b}9 zn@{rM4aUu|Jx@vWFL^p`Z~@6ZKlRcU#=2!4feW@C%_dnJW5)(4ro2>Wkc^NUKaXTC z3VyMMDWC6iFtaxPI>}!v+W!K^UtTu^j~$z(@{f96o{R;w-qdgq&R?0EOtONi5zk=F zxNU!6^dB9iA?lgGmo|moue!bA?VLx6Bwv-B_yq2Y^!*8wc38*{Q}2r193!}3m9Qr? zk$-!EWS363RSxq8PJDxfFLuZ>C+Yvz$E-f=%aPp;KOO6hA^D7;N*)e4U;PYMtqYJ6 zI7#oLF0x($A52kqfxm=Aqe=RE+;Ru5t1WDYZiUff1*sRB=(-f1JG#mVUfVM@lH^m? z|GEX!be^@4ocMy&Q9@+os9;U#^L?W|EN|BcBU!C7@mwfzt?doTtUg~dLYPe27o!d< zcermP`H*!+hhg8h~wS%?+Mn%~+S2pi)Ur$W2KV{1v~ z)y|H;aIN`W<&k93;`3%CKW*whUl=U3_6o^;y8lW+guEM{ZA`Mmhr+yIlJ}MbxWi1l zf@DrDn$QcU&Hg%Blzc8wZb0%MKV5W(j&Ho<;6R?)eUclDQ|W?RBL!r{$gkTQS(1Ha zlD7-0=pH``6q&&2VgNdH&gmXW+(am9A{H!0~Pym8d8kmR2ES++tk z%efNbWcrd3S|odOPO~F?BUEq86g2FX_(|6vOsZhLx! zqz-c$ux{#b=m~u4y>pOG@Znm#)hh~d% z#!jH_xLM&#p@aBVCz4tIK|2zDshdy$m2ZD-f!|J)kCLKp7?+?4v$pxzlbnvVc^LdW zcXlouloV_tS#QBNBcw^mhCFpRrsViWlJUygei%AOugHXLE;98bzhF}jGm#v-;;}09 zmAY(2as?v}2EyP@%T!ojHn)~!|K*Grgn4J0m1U??b)>)yirYo`!Zh8TSD?Pq$|{n7 zJ#unCbpHH9VG?z|Ry{R_yKW?V!L~Dj3DEk0O$A8@T+Q!=Gj+wL$WkX{`UeBpIO2{w zoZERij^y7rxZQ^Z*#=#3OQO7t9Ccz3_p@;0#+qI5+nTg9Bs*^2p;A~TXxjnxek>e6 znR;fgM(e=N^!Dx0Ccg9}$(sko7Q$Cn9<6Y`!5WDv)SIX>T?;x+`s)a*yXuaSY+_AD zK77R=X@>J->_w+iuls0GZ=k1;Sb5J+UKLBKpt9eZVHRF zX8VwAx2#|ioHE$>1g>n(`$;m6{Be0j();puBN!I4!jt6x?URXzu|_@RBqy-s@i*8n zds%im8PM&g59{7q?k3rrWpiVp(wPx=NoM=u=FhOwra(%GJhe1x1uRq9=|b|7|Ma5a z!)Cc+l545@(GKM{Uc_Q)8^Nx!+%0)8%b8bJ@_!}s@s%FG6g9M z>*4yC(E_u`AfI+sxYVT7isVa|#spFnbHq5CSJ(~h;hP}WF! ziYoOME*>&~yT$6=;n>gFaU>)CI_y5wP2bW5A4h1*%)!2WC+NYNwO@BZ<9X$0NKR#P zLMc@3_U?dD)n?=8Qg2hSiVie7Dd0>pBLf;wLaWVrh4B3HJZ6hlmw{ECu^@;Tae6@0Cj&@ zZ6|sSwyk;pjO35ZF8TxW{zfY;Aa8cKnv&e=id86($QOQbOT0qT`|7?`aNlf;ev(NOnWLyp?t3j{0wo?adBKI3 zZzhm@o9BrNxXXS=FUk4quv3cbBB! z2iY(1Ktr#THTjXRTtTu2BCoo@Jv#!Tp`D&}G07NCR{sd+_K8T^kRzY9EG7AOsfA8Z zHYz$29<*~UAi3p>SG|X>Q>Th=AQk)jG)Z>H{c3v{d_5%$&I;jjNoKS8#wO^br7?0N z*(WJJpX9syTQ@?{2gQfsv5RLjNzN-|PdyAYUoEhSI=7pi2a?RhTh~+J>-fX9u++tF z5Q?r`G}D&mZ>o$jhY>$N`jXtdH)U6#L;krc7#X>@pJel#jTP<4=ekNJFi3pRi(~|P zUnIb>m6;VVEhe;= za5dF~xBi>yN-|PYhtI&qzWP!q+?3Nn^8clTk9Q!2xUD*Hs`D~ulDoe`Dhh6w=_-W7 z-^yD__H0Fhgd?exMea*L!jJn0_2q?Wo@Ftul^ro5Qqu%6+ZXq3yZ?_{kRnHZn zP-?kM4%{W((?GHce=CHxk^|*Q^GGIj-Q0BeYUYTSB=0)9c?c@j-%@cRb+b=eklfuf zF8-fymGAG8vF zFTb5S(Vc}x@Mm7MCsd7djVIZ!9;+Tg?PXJYpq;`mS!e2u`CY9K*WOFn4ee97Sd#x6 zxbZGjUZe2^&QcSX-a$Qs->oZP<+EZJSeSn{8a@i#Q%tgHPOCpcnPm!+F4PMi|7R&| z?R@S8m*2e}N%Ar04i~^Scf0pcWA!5Ooz(G?AF~Kf7y4umzdkJsBiR!-&gH_}VSAgP zw}tV@UDOlSQkoCt#|&3%c!QlZGj3$?IwpVuJC+&4Cz=|;vW&NPQReh>MQ{M={tS73K?P8H1X5AP?rt(IFA zcau`8%S>P?BekDox7B}5fP3zgSCEWobV4swv-O#>hg8uuHzfHR(z89_qh^8gF!NsH zeUej(%j<&5TaU}Qlfwqv^+S`Nt-7Kt>%3sEgX`$&n6h4V<(Oefj~DvoyzCK=m4{d9P`6)6@lN{aI*xoiC!uED0V1vSv`?5F|A9cWeBPu(%=icR7CiD!LC zX8NDqNieb6uoB8&oz@4Ve1FS(Q}^Gx=SFbHjO(5x_xR7DcsT2s?L!!RRkH`y`AW$7 zQ1^!3M}6otqii?HB>#zxg(giNccJvvHD92RN4*)P~mTolYdv_UmpWG;BCu05!Ary(jsphu4bxkwP1k7s2;) zhwMqNK%hPhhQG?rg*NG7O(Yv0xn<-*@|~6Te0Xv8giR!4HuU8%6sUWU31x0xtS9;6 zaBl&BvfJEj4*aR1vYzDR2ACk2THTNe&*$XUl5DhyMYYJ^IrTdULNXR_ zmq>?`b92V&!kGP^T}b}f`uou&CtYnSd5nCPI8&QsySQN|sBZW=626>tqkv>ue}}(^ z0hL?DBWV7rhm-?U)9(s{MxqaMNlv39p$V?a^ci`aycJ|VpJdNC%-#f}X9$KsN8vY_ zBvbk-uO4PxI4%%L?mD=A4#^jou2>Jxj+Y67`n}&$NiO(7MJ>D&lQamsT>NI9pq|V! zOLLehH`fn3y%WAlG66T9$@Tm5jH(@DjX)XSRXVgeOJ^!CH)4YHR=PT1_~lqi}% zG$FtczUW==0dpUyohO;!S418_dzY3jIA6O^<`m7}dArLM`ey5&CAo#cQ_5hwMPCOz zJ)?SjG%}bJfU#B<>MUn?pVn}80It!A~U7g_%*H1cf4LT< z9skM`N`B9Zhac`9eMs`ljyU$f-A+s8;>bCg<5!WK>G&_ZVeHHMvC!aJ{9Tf@3EBSz zMy_5beV&{%X_hWY=f@1YK%2tX(Xc)IMls1Z?l|@l_NY2ZUZBn^Q5|h)-XOIN-b?F> zg!BC#7LaU=@ul~0Q0{SCSu{zu_!Y^s9k*vE> zY$%MA@yH>WSwD>$VZ%*D;cKKr^uRp0cT1fO$xl?u2!>(9A?a}X-OVpaP9bXXFbs7Y zJ3EDxRO_%H*`Yz+A6hlUT_c&rsh%}(l8?y%>@}D%Bb7Rjr2d)0v#l?EphIp}63HnC zAFYIDn;rXLlKj$XY1Fgn8n*`Sef-%IW*@sBPcrK_#y^Bki}v@xv%gH`u2V0jcIGNL zBWZXyG~D_+mgJVKxN#R2jXw4TKCRj+old>1v}L+b;egamc*3wNnq+=TJuHUStqC7t z{tX|=4C;w-=GxF<-Rx~JbBf>zlKb(wu>dYD%zF=gjvg1!q+aIw?TcWm(h3KX2^gLj z4wuoHFmTI>iYEAFXVSYY>dn-AqiT5cjal^1hD;KMV*S#XKR+j^+I;+8-*bt{HW z%z>(nJJyrTlvFkdj`WsIgFX7awXk|zLshYZg2HzzsEgX{fZq_x^r_+_F< zHOy>#*H5zbWw#Y?kdcw6Oh~5Qbk~0PT}A&ARPUVp7(T!CvzO$XPgPCHB}ZFaGbFi$ zX+a(^e!%8DEGnA+fMnI2KFH*eI!br+NJf6>v@49NbUO=AL>QEjypywhCoEssKR%zF zCQze8a=z86&am=Aa1=b^y{U*~pXo1bgULdp$J`{%n%lHUCOo}l3$%2NiGW=O?l(z( z;sm32u%=c)>=wBx^N$9}9q_BQgVVLsLt(sBNDj$fe{a_abFvl*7m&FJ$EcCas%4*S z;5BJJ7{-4%mrn9iFYkQ`-TjS+;rca7vu{&x;lx1;DAD@DAHK`ZyhgG&{6lNt!8Hy8 zP;cUr8HLny?~zmixJ%q?a%*Su}Bg@FJtjPIr=&181k{`Cz4S_r7P0E7(UwZ0E zuB+g&08g5nx;zIyHaobUWV0t*1;Kwm=cYl|yb*OIV-VCl2oG;4n0c4{Z$^|k$!C3V z@q-WPJ&)WYr&&%vxE|AMit4 z%ar@1=#@f4k{9rg_J9$qUC+bh5vv}M+{xxC-B9d$pUea5d^uFD2fwo^uF!Tgca~%p zv~MVbv#u=Ygh%#_nov$1!_}=iFn)ZoGYqUb6Gd{GX}gP{pO;}9T&po{%tPw^8ueQX z&V5z01==U2MUYIG+o78v_ zez}ow1@#P~6xCq5%YY4BIh|Xe8+!_XFn!2RL5Gv#8036 zNzOZ$zXtP<#nr$=>pcfZwrRY{j3?xnFG}m+)0=}nB-0!DG6^m*$*P2(rH}TJ{BW1U zv`Sjv9Uh8(O6oqTzY7&F=X@dgnGWI7RbbnVE5wZw@vTszgNIo}K=rzpW(j@Sllv{dp z4$1wD(M=;+Ps>SlkXQXa2rvJ9JhPVO{Yx*KLyNG3esG3`)m4%|GG<;iENCC`8wO-I zE7nmjCA7c<_N|QC57S5QyhO5(TlF48@kF^F@W##`Q(jQ7jD2bd`v$Liz=($d=Slwf zMe7GJccXeY)KLY~x?Msk$1q9w@>s}1qyq7 zZOj39w&+t5{JWp8B$@IRaec5~%5z#1X{l@<52gDv}M|v}6ywEj{iWv}o?UOETv9_rAan{uiX1NjC#8U6SvUFx?4#UMZjc z|2ko)nB?4d)PIEU)pI1@k!2&owMn*w-?9zP3fDeCGJW(YdFS1-BlP zehtGcx&=N^FIn!<9BA|M(t6l%{Xh`OeewJ+4gS$qt%E{BLjOostn$swR&rlrzBwFW z8|g0IKR}X6KuXH83w>nqP z!o$J=WiYZ~eJ9DzN>ZEfiTux2WI4&0&2Mprdq3Zff`4zEDuP|1yV^)zP)~nM2k9?5 zWeLe`efx6@bcwBsfQ|OoZo-^}LGMWRdY6q@C(S?5{}2j8C*8?`FW#MQBzeUYH{s9Z zjy(oyB$v5Jegph6_$wGXM5MkX*?$hf!*I^5O|!qyd}oV>CG@!|9suL~+pa;A#U(W) z|8!K$0Q~TL&y26s35i%uS7f5|-5eASz;m*HlHmE4=anQYeDiuAjNWs2S{HSGuC!YN zKZ-5d2VL$ZmgYg<(c|C3AGM!H_EK+W z-2M6RjYIq&&0zy25gEDDRozN79M^K38F{xOp|qf1vW4WQ@-VOz$H->>Ews zOqsm>B%l2`;u3t6v+Xg-tqEEF1Afz)IQ19#SMZx5$-2LKwO=P%w83X zZuqZ7by7e1{hH89k~j8ia)nPcZk~nmBTtl(9P`w<6MBW{PWVk0*-Tnave8q&JHy{E zA4frrw97>#Gq~qq8?>HfHRcZ)GB9@u$?NeWw!)JKnj_#1lY*Nh=QJ+r9X#0PA~rx4 z#_KI4S%#EXupu_Tz?wUPFJ)>NGOL*I7N&v~sSl)LH9uustf!&X;4ZsgUK{NhQH_c+h zIw&w{!2$T`nb>8LyK?zMCH%JIP9Mo8X`h)kMEdr+t$_sv2Kz|H;h6kIID2LPL%3O_ zribKzHKfW7lebO0mF>TeY*DV)%O&{^4Yfzm@vK}Ej2IgEolG>^^kako>3;v69GpGv zsXEEU1m9i-3qD`n2zMEt+Cw_lrUo2_UE_A0gXec!XOisTvz7PYxTWg#aLd2`bUfE}%@fJDd8kvZ*nF9_GWTv~?5IomJxw4a18=NcL=7Y8+f=dNvE1X9wRW70kx%c@5X@+tdY(UK$FH zqVL)c$d>7wf3Js9Wo^5lu;TL|lJ7lKat1cHrKQ0N!{UN0mSZW+W@!i!R{e9$Bqy63@&is{_KJ#;!7iJp!hrj0G)Tv} z%8OUSsL1JdBpcc>W-n|v|9b>R=6*U410`N$lM1i*^ADh3eMSSxY}bhEhK1*k2#q4G z2lq}QTY5Iz&x7G*#w($sqLvNG-#Vn^294Xs2E#W7gJ;P^#jK9&FnjFFGI(Uy-4`TR zUYpqo*J+*~g7POrCy3L2H}-p~z@`lj%Sq<+tP5jC)AtbwKdJ=xeBQSNHkde?lKjfd zwOh$V&*$Tk;IXAcH%TtK@6|h)y!rl5(($rvyu1XN9UQihWQAM3j9}98Et_FlvZ*Kh zJyQE9sSvegW;~33JpKmBG^q}k!#B}i8lh`f{WqAi?t$??e#F!GbooD zOWwM4V>Zdgh$O6lr7p)Tq56Gq7g9lNj#B`fd)zD<#(rFuLNadaREpuTY^mqaPDbD( z*;2N*YXH{QHjI^|eO}RiI0H)mN>~S*Hb*#-iHmOg9Dw?=+agI$IN1C$9P>e^0Ltjk zehQ~vm3~h;P9Guo3o1Kzj~Yk&oB615+W%E~qzPw)=dFR$K3}pY6}GK9z7LMiI1olM zViMag!td3~AHi02)h4p#XzaxAkpC_?ay;!X!{VD9TwC-;9R^8Ntb)$_^EZ--f^QS| zKy|Ii!z4HEobNf9GQ2$#)@-!6M>=l3yP_U0pFZa+lsPOTFoE{h-6}K@K3LVG3eP1s z>5>Wx5|6FmvK=>f!ci4Tfh1F}a^f_+9PXD2-99^)kS(46S=PdVblp$TYr@T7YN!I1Y&Mx?EoVB0~xzBT@4E$BAHkVX5uyC>- z>_07HO)~p`{@4Y-TeSp1x0_GTkS*t@6sAF2@8nW=^zErSlK;Crumj$X-Sv-THQVGz zYEp0i8u7`{IH_M9)(y9=BAId9Yc|3U#l?Hzj>&0<$(AJU>^ZpSb#Nx^S-j^S$M97xCW9v{8PmcHuRaA-EKEP>=xBhvFA^EtMHWNnN>-ja!1Gd+4qg#z)-B1>p( z<+NrB$!xAzv;bz!oNfq>0>{{rEo)l`+~Ik>Pa&k^g1EXklGhk2%Yp%R8TaACqI0iF zg|V_ny2zH#8GnP8($}kscbp-4mz^)tNY<{J4wa|%2j$Et^X;ZpX)wnp6}dTb+vdFDMPq_?FAQAv{=x>82#v`X9M!SrAl5PZLc_W zAIKew{GEhOXz9BQQvLcbOEJ$(d+;12|BUDV2eP~EGJb#zTXbl$5g0uqWFAO-3vks# z=hRzRg7hCveK$1l$ox={O6{GRfR>v5$ppEMtp3{|dq?zDElAFFt?EKe?-z`KjO@I# zV#aWuE^}A`z0ex66r_WU>9ruAkYVYJdH9R|E|9C-qFQrU~GBmZxrVKT^F9#FXgvRUh9=KdWXhe38Wx8WQ}PEa&1 z!hAkP?GZ@Sw@JT23-ttsL1x{#PeLo<+}$H>vrq?{M~gvz;LgoeAUAz-=4SNju7m(I zwjnGAB(JM%PeY9pHs+x-`i&oei~+Ua6-Yd}EHj8^PMAQL!g-ZjhNRK;73~YqIr5K} zgH#T4%MRpfS~GW`X*!AfK~^y%JO$PNvi&M5y1}L#WD;(fG@+ZPsrQ1!&K)zxLH=|7 zgsH2b|2_53^Fi+5kv9e)W!d}K8g((b?Sb?5i)=W^vi}l~p*J=~WP!|rGS3q9<4oIn zkodWC`8zbIMg1E{Yc7?YXa@JmJ}pRsRKcgu+92m=(P55u-FV`Hz8AR@0~T`rWo2AT@c5kmhQTD;_pOgQYvSfUHt*Z6HV>Cbzs&|_=7TS0y(*X|?wp8zGW20Z4va0W z-_hxVwk)fQLL-ukPl8PISk^U=cwm`yAM>oDeJ?<|OmfEu)Y;$uH~PDlnzk0sKdZV( z1vQA9WrVhN3vUG35bEo8keqU%D*`0w2~UrsW?M=wfy~MKm+oR-IQzsike(bI*^N5A z+VLIaJ}+~av<}W|IJ$B!$j$n^NEgksl(PWY_)8)*NH&R%>;?&U&$sa)^R?>f1vHwx zdkg1Nqb@%I`SWj1bb_?H!TzrxSA5z>)Erzn>L3qN^){wj=%yQs*MMx-q}f|hFJI9h zkhuJOBo^JR%%`KjV(JS(TKmJ@YLLHcmi-!yJDdCoq$>XHpRgXzU$Mg=#s8gHt3MHrWeS#r^xREiNtSWCs1>%vCANTFZW$3`cCrs zbC9$3zXuc8OQ~VPi#c*Z~pNfq$G;p{{-2Ia!ryOK{n{V5<2iKM;{~xv`$;0%aUT; z(VCvXFp#b?-fS($g6hWqES;aDtP)*KVhu-{f zdK-Gp;$Sey_g>q17~T1A>p76~@K{#_QWrVxN0?8}pZf;0+`h@fAnWk@r;shU#<+JD z$ke60SPT+E!xgL05xeV~L0Y3IEdb>6L}O#nbibf9kZXA2oQDdlm_I-b59+)E$({V% zL6F^SCP~;qewFb{8f3(N^ezAiLx<+&nEh^6+F|Y$%i96+PyNsA2kG(J*c6a^yJ*){ zklGx(tsHaQJM$)x-LYD?7wtMbZyc5QDLK_1&Kq3=#8LO_Z<7ZN11;Nb@dYH5 z%Jf7w!S!Q`^JjzHw8*KNn8RNDHUsH(y8T-~-u>juK-@p-e{c{aPFoe6!Ca7=k&pXF zqKB(M%EbOvlq1YH6jhx>uZ!Ne29hCuXYZr2PY%BTne_{Ie?TwC(7!?A_FKzon<0m< zGEf2e#&l&PknZ|6Z6nBCbo#p;q<$0*M1YKtWb1K|nCe%32_$Dfxp5a{-)NkBhAxRY z(v5qAx4XZiKTO>wZNdAdTg?SY+iwQCAU(xN#R8;elt|Ga=Qa7?ZjhO`YcL+O>hsnM zAiGfG;VqEYJW}`s_u4(@IzeJ+UHn(fhM9Xrogkb1c9RF$QCDj%kY7=3xCZ2?>8e}N zZ=utJ{-2-yiv`&+&5!Bm=&{!YAZhacVKvAMuPu5F5<{2Ie?oP}<0ou|^LkxEWzmIq z+!unhn$(7sAkntRXcNdZzfko9sb@>18IXOHNSs0|`#1hPT; z^R-WPM&{&g(DzD2!aR^pdljY!a>j<+EkP>u#6~yN^OJEX?!|2uB!KM7 zt1>J|E)kk=2PEX(hH61htfIXO^O)S@5s>A>Zi%_Tb@eTo3LxjNpSTpH98ZO>#hfs> z-5ImS2Af?VEuCj_2qf1|P(KSYJ)ScP(Pvc?YCz)O%+GDOKNtCC2;^hh9t*m{HiER_3ZWj5bvrfu6Z7(~9g=RaZ*-_t0*UX}@91NGA(mwYlH2`{ zyQA?{d&5B1V~%$s?nh$mE~2t+D~dtts`0|7AkC!DhwN``2uBMg!%qy>JiAMj4XTuk_wKq zhC$jWUs%`!oFegc7Ra9o=voX?#npAIKw^bz$!3t97JDfG_lw$-VnFVWNn{#GAI{j3 zhdFE5{sG7=uwVHKB!3ky8pM6wWI19xnBglT1CqXvzb*i&&+2cN<6JEIsU6N+J4<$8 z-n#Pgevk=CJCTBUmLlRZ(S- zNQxaX!0hzytu?B=yxs#OhcoVmgY3QUmydy5tbKA8X6vH;B_K6Z(zhOD-uZ5Nhvq&u z{RWZ?G?q;Cg6oZYl3`ThS+M%N#94epyFHK1){P= z&ko|gee%6CAZfqrN>;UJkG@F4gO4HN;xuFqx z3M9N7#T`IuSN@m}?)#>8M}h3MfafQ1eyjT4HIT^R4}8G+4io?1Ag7wKd72OO=>2A< z0&>}QT1FtXy-;Bz$iAK~;feFpLEj=UUwG7g9Hgbx8!q9z;ZWIKkZkR^`V6GjQ>opU zMb9(eaX)#)f08fEnN3^fg0%6i)w*cGjHMPhzwNI`gG5lR#2(D=7JiQh+1{A{E`ZF% zw+**I+S$1L2}sJOU+ctq(^%?PkV~+Q7WISvt8WCzgX|qCCoPaJ-LYm3&Vy@~ZUxD1 zwK+i`bvABd9PTf?`JN8K=PAA~0NI+ejnyFez~hFhV^l$Ii|S5eklwO?s}0CLqv=C*WRU(_9whMe`=#L4&6Jss%YE|K2W?ta>p5((%fbVmsk+#xd6w zKu-U4+EUCHjbhh=l--#iXOJlycix4T*q9$eeF}8Wf^^fgd4(YL%v-VsE^#bX$5`1uqiX#Xkbk1AR|c|G`;;1SuJ(3H56HC|{r(BkhtKp$2E%o_V=YP` z*=zGaA7oAyAwN#v9I%oLE`d;X~MhVx^vloW`Tr&_`qV2x#9V0706Got=bIIljhtA zzH92L^}=z`u#ejNhxvSSaAfaElb zqVs5I!TFmYr9AQIV~|yJ3+({8gAd)m;C#Q_29a=>FAOu94f4tDs+u5^peel?B)*&^ zoN&($e+&faj5TcsL6XR=IRkPxL~iDzInEcV&?(%}R*srWNZWyODz^`1eyP?%6Nk0DWM5_ah~inbR6V< z+;6`Gvbl1P?_!pUy7dg?C0jDPLGpoS;&+fDr!hKE6 zBjiEid$y+*NL`;`y9Q)jU6*ggd0mxy5Xe56DI16LE;p~0`yr=R*lq%eQ_?H^KuRE7 zg8})H7THs{zpE~k3)0HRhbz#IfsSUJpIlqp2lDGL-}wVF69lrPqTuTZ+J0OWB!chl zHO8zi>urOc*=y$ovKw1h>;oygMGH@WMAeCz*&x67lh8fP+UvhO2gy%YI{yQ?D}r@D zKzfFE@#F*WIJx^-^U#)ANqQi2JanHWNSHT!yI~g8v=2oq5~&0B2zqc|a3LtM2acL>YZf;0g3o%%wBm3P!`@7DqmviR!&5Sp@QVI+smB%0K0VBS?hyMf#&3EqtOu zGVhwhX^<`cyYf0nFLGbZfz(ii+)MPQwCDiH1%;3N1<9o^-%gJKN44tJKzOhFyCxu0 z_5QLgNExk5_6CW+m-k2F{(*pRGRVfdY`TJZU72Ya?yD4+G=fy)?%6#cm)a!y3nZuL zj7lB^TatMtkp1sNy*|jfSd?0U%=~NF?x^vgbc;#^>97jliy$#N*RdF+gu_=o z1vz-vBOWBz>&uU!&d0?hV&VGvgQJQdmu3BK8OYqZ{A?ZOD1m$1K>pA6E5RT;tt{m* znyh%>9PYDs`xSvyP?O^$^ozFH8&o7ga~NcsKFABl!TEL;;&LG4b8&1j$PEg0uflxS z?fGWh$5q@5Ky7DVjR8qA{A3yk&)YhX2U6u){tqx8J-+!BNN*W58$`RTwTMG-{g2BE zG9a^GOhO&xtUSLh2dN!p-F6^9q}Z?nt=w0(AEe(jT}=Vub#JLxK}siuDF->5KK~|= zY`56bi{@WjJr1&r@Y1P=;e2~{MP*d2Qo;}<{>=Vv4YEz)|9OD?m6r|SARW21{21d1-f(cTx| zT|jz|?)wms+HkV*2>SM0`FW5Nw92^&vRyf+9)tYO$uS+6Pk97>0hwK#lSn*XH-GJH zkWt^eOcP}9cg|T2l4lJkIib}jeguM){Fxz$p85=$rt2!>z`2|_3(PnNz`S^ zi)$d6=vi?eH!Wx` zNL!3M>wk6Og#qUD=7|uE_g}zCU$F^cXz; z=+9Vrbl;|3S|A&6Yug%-bDg?=D@fS}=mw$Vjq~Dgudg~K16>$9UI3D(l6r=QCvG@)U=AIKeCsKA@e6-&T?@l?3NHNoS~nyyLDz#vmv0GS~*B z>@-}xFxwol*axyAAN5Xv#!yIJT=4(=L&g4UB-aW#}uhWV}y%l>*2~>)lw2DyE)Yi>iG&>9#?!UhvrwT2-3?;RC_>P_~P_m zAUE&tKgm=$@2LGpCDi5aYkl;wWQ`R_o(nE=N6Q<|hk=ZW%F#shPkiV_keKtqy%=+X z$%dyOz5SvQ5Auiqs*Zu&n7y>bDX{S_F$W!!`LqmVn*b$UnH|@d%`K|801K8U7<+7^F-&HR01>pn{AXdUmhC5|Dh-`e_yV zO}l+Fs+{sD03_@`-;6-VYMFMYmEgFBD_1g7j?v#Bz|guMKZP zU(fOE1-aUTHsc_%R3i4#6L6Am&>M7Fwev9gXo0zKEnJ@+uOo*xcF$b`ay!f=%}~pn zUz^dsDIWsRSw77%AUmP9G7ZgIl9vZEuaBI0fIjMreTDjM*fj{!&NsFZbzr*KdKq-p zPF;17(r=iz0@YkH#U52l8s7nuN}oUMM_)R$q@W5nxT_!`KPA5$ZQhgKgpv($y&&JF z6FiPCNOGC_6x95@UK!**JLnmrW;c{Jpc|)5-43$Sp})h?fQG(f=z%3Kvp{C;=?5j~ zmCyP0Xz-?tcOZSV_|P}>)0B{j^URmg%KXvujqqEZHyMmPCTNaE_G&Dk5m;i`sao8~_RXI;m7NOa0$9kWaIC_yN_;F8mF0t0tYF)&QRK zk5@sz)$cI^S-VB<8_~jJ)}H92QNz6;v&&jF32iBuei$zielB{~=BO@6s@)8=KsV0vpwTHI8}@)iY_ri(^roR&Cb}n8`ZmaC zj}x`%T<1@nAjg)seML!yN1{#O#r-$sQRS`+S|FRdJYfy0l^M1bWbXa*2tt2(ZHz-3 zIpYkFmR4JE1HF7i<{`>-3$%goc~3*1P?y~H2`|9qLXTxZ@|fSPg{W$M=1O$3O5!Gv zppS+7p~TR326c3>IR)~oZkXhveN)sc(c?igT0l;>X+l5BYkmHMCZ@cRYKFdsBacwLd z<_=G8fxfo!9rIAP|DNcfs%CdAK_dJ5MK`om_;@H9=e0KhJmAg#A~ z-&xe_rgtGo3Ch{mpo4p zCH`n|%%y0MCkK*Fqq8j{uY;U>_6`o6G1=iIDjT?R0QGpX=pV=`Xv#^qV*g~31t7C$ z@T&=`ZTHp|rEWj<25CY0yOF4K=;dTIp!LKRkkVbTzYI-H_i040|8nR7$?C19ztFDo z#Zz8`zZ7QA2Z@;nL=8|qe#8o$vW|BL`K3AaVdzD{(nK`MFZ&|MU9C?pM&(tbo}&Mb z`|=>WczDwoD!qA?L>riVbIBZ#shKXXjTY?_Ge@;wjcxfrRP9O zb?cQPRIxhc5t^rP;0;J#jq@8uhk6}_+p+IDGdVOSM{^0_8tPBHfnJ}wHp`&t2CLQ4KN(spKzgR2qCHx-O~MD& zuKcziq#RWLOF<{aG+afs2Fl7oGRxvx6G~r6?M07DMvsGpKv2Nc4)9^!7G-p7=^8_j z-<7&_1DgF?aXT91I57g`zTW+Q3|%z$eHMBvrm+NM4|SH;qmNeSyaO5AtEax9>Jwrn zc7j2^fh1~K)9rx&eVk1kAF=88%V%-Ic6F1C~6(OAGmmmpBWMDz^)!(K~ls_MqO17DqvHJEND0=D$(84HBMaQ)|&3SAKV* zcLn;tqI-N_igrWa{q+yz(fGv$S|FEpB4Z6YJa}j;de=TA2(2%6jRRQ?Da#D>=U)9A zATzyl{zEiEe_9)Ab@9(9G(d1*!hg_rwf`$w^w#65g&@_o;KoX{B<1WTRAcC{AG&$t zZU!WcOX*W+v9wh#Nc4vqRHDsqm0M5=Q>lKCH@*D#4;m>lDD@sJ-O;KFas^G*#;C!f zLK`$P>6{nHhW$9Q4;8cDbK?KrcgqGDyE)eP(1E>%4e0QHD(^u$Va4>H=-Z3`Cij4Y z5+CP*)G@EudgzBI4=vH3T19RkdGXl!P_*P*d;&QF1j=q<<> zcdL$~N~@*Cd!c8_RYDOJl=!q1T^Q1~79D(E;|#L1^l$D$Q!*|b0-1?b9yMsI!p3%x zo_5&yGn&?~CiDS%y|R^=h2|CrEJk&w4Vi*uO-Q>Vy6M#;e{|W>ThSm9bvE-fD)Tqt zI$A)7b0BYCz5ONHt86oX8Yh|j13A^f1=4+Bz155bsA|cC?xJkMT14MdNXf%K41L?fDA@7aUWOKg9E)a;byQ~JT<I~UQ_*De-=eC@R3PtlCsdwH~^(Q6Fk%na=$20+i# zE9Rife`;uhY?J#;bM#k*kPFBpseK7XgA+OrqmDzh=g{Rg#YG^kdOPb8DkYor2BiK) z>>EahJG_Ml!FMa{X?mE+z2J*Yc>+;YF z$C3vi7c>9FAlk}A5+A`c13P3u_NtYGIvQBAas~Qy`eJ*K;X~zo(0pDb3Y}^)k^<6; z*tb{F^@8=~sGrx}CXh01yxfZxEleIqUnlLK`U!fL{Pa;qyPY=~qFYN%H-H4Cv}8LP za%gr0I@~RK9OOGJN3&3wLcRoK!WU`o9s>8L$;X5A%u%rmsFKUrO^^zI@a{1>Tk&}Z zs($3&7xeJp6_L+yzh3K;v(dFT4`_l!u8jX`bXvq_Cp5gnY$wQfuh5D`H(XLkN6SSd z3P5g=@3$&6>sfazDy!A-5oC|2mI(}lm4C0!Ko4zA)c~2&8iqm*7X&z<;)k~Qg0$K2 z>I3LgyQQfpTd0@=Qt#v@R-i#q-(R2>Z~prLlBug3f1?^X<;ji}Y~Ku?g@JL|L;ZU4I_3FLHqmR&~G9?dC5<25HeN28AY=my#UzQ6yDrfzMT z^c8xVSKgnCu9MHzMeiIsZGi?2#Lyrewsz+pkWyi^Z=-shWGzapoZJPH2d@A8ik=bc z6&-uW$h?LyjCG-yI>5PHfrC=TS*>YOuB(Z%LBQ0)YrhamfG zY;GHRdyC`{dj9^e38T>K$lMRIXjokHLR5aZawSM_vC7+oS{I%1Ls!ehF(9=(V%I6u zpmSR;I<$6uB}nRJ>$aeV;!6GKSjd#WAhE7#TxtvyHSSYIrP&r^koWz=*`QiG^1aYC z_38USE_=bD6KHU1a5j4Ehs!;Xr9CVf&{|IKJvuOd{!fspNt!D84b=Vgdmg&Yre6=F zmzTe^L`!B>xuL!L3qnDvp)Vr=6|y?aqDDm_cR+Ht3|)ubh_HMM5<{K(qv#@2W%2J| z(3NS5=pBi_OF{lm;J{k+MExsgkUObYy$kI=d*cw=FLLfIdSv^NLXhozvbzTTxXi5` zWRjDuKBGfp20}kTVK*$u)cn*Eux925DthI6;U9nVAZ=AED=uuy4?N zy@|shon#Rq{2TNt^prza%GfResTa(0GjzO5eGA&LN;VKA!)^#3M6XRAPD7J}JMutc zY1fknsE_fTSE$p)i-RCPVe)a}54h5AuM9f$%1a&O`i<;XpuOx0d$dP*p%2LR`p%3( z2OES=qF=SYTm_l&^v-g$T)3_Yed=4>3(_jJS>xzu?WC!Hp{G#BK4sMVhqocBzukTV z>QGB<2Z{0@!k5thwtX!@C9AvY(YU!!-+{c(v663S#@9;||ADeLCrFSJx*w^7n#}WA zk3M7^TtT+vAFvEJ5V>v`Y-6sqPrqQGCZ$E zA$v9|c`#WM_3Ycf8YDR@Unf-I)~20k-^*EMrc zN0?D4%lN(XSgz-cbF8S{T ziE^!(1ETk!Ma=<6Q8mgb6V=OHa~q_83oWZfYkcQ)fz*k{i6f}1?hjERaPhhK z@*pWVp-Brp9(aEZTJ$VuD@Y_RI~|11VPoRZ_5T7hKwjN*>kagA)7pno5FLMRWf28iPcrZ?g@W+*s*_{#cT?4}Es-%n6X! z`yHE&O8M-%2XY1t+ZxdAI_uw~NoRF`qMU$|q$u?K;ypzPRe3(H2Qu5V`z+DZ87*#T zGw~o4mGaI{0O^S>=`3n(c<2sDy-g3ULwOO`x9Fk(i&6AZy`H!j^nPYAUlEbU3r%ENUlmwh-ikLJrrU%FQ9|Xo>;-8Ds@mOCfPE zSj1o!dOk#XG03dpbI|mS8@17e6~^WuFQ&Y}1zi>= z6M{bfDsTkkZfzMlhxV1W7oqX0j~{_-`0-nB&|5>9!>EgMqVQzs=};Xmhl*%$5R+@HKc%^PnIqSrJp5|Yq2 z?7}e_G(~u?I(oz3YX!(RG~3#vUkz9Ipt4ySQ6NW&&pe6x1qoe4Gg^nsLH6nL&L)(& zQrinMgVT%0(V*Q~Q>TE}-yBy4Y1Vw7A*zwm5kg4c2`_e^``EoC;39cZmdfzqu!L(AcEN^{CG94p)%7;OMX$ zt*luYkA|x(z5ufQ$K-CIQolu>pv}%B9Ux=*@a-40R-;~I8o2J{-Ps@=Es(8=iufe2 zMq6w5JAu?peczpEcIKv7G>TZ24w8=pmlU8buVz=HEA_-)gG5U9=tp$PNBP#p-q$kK%2{-CW!}*@O%Pr7N9oJ~| zq{*p0AWP*%A4LtM12a)(kJD|C(Rsh77S**})`c3~o-+c{rt*`-WI(IfAM)tbk@s34 z-M51((U2M2TF{Cp^L~(i@JZ({>a=0r zbXhRJL{bf;?y8I%qg#%AutAH5o4r7C_k+9>Ad#e*o{f&4iMxlo3IsQx^*%1|LEiAi z`k!dNp`PSS=r!+>k`kIeajHIAzxTH#$eRDx=Y~qJei@2xxcwjjWXKr>ESeLQaR>eQ z=};X=*K7!Ri*CN_I*MLWwG^KP{SL+JE26DG<}X7--KMPrNw?}h&S?44fnBJ_*;j`^ zV$+|hvuLURjY8D-<=GmLZ!|m7jy7G{{TV$v#Z5>K`i@6g%|eCV87xL?%vDx_ELAGC z85N!P&mWbK9gGH<%#qg9Xpr;6>*%VQLJp+m7N38Kj+~Ak0I67!(0^$D4tMFnVI<2s#4CKXU-E2h5k6h>hInlwR zzfdvzuqpD`yV_$uI#Xq%0m!zUGPXwh{;GL^%ujEba8$BM;25fGICK%DsY~s}=(b6Z zpQ2HFZt)=H*poSiMp-9HD1cuI!{>lx3+bti3LdpFN12Z%E+FCOtR8}9)yz18E>IIZ z5Aw6md@e$-{d)5Vz3BVo4aoI1-yTNy>s}OA1eq(xF*JNg0LreRG?}OYLyRS`XLUmU!xtODEmFuSfH>qFmANv%b4Q{{8DEw?MAURQ?I7 ztT6TkWUZNZBJ;qW;b*haI;VS@Aam@@ft?_|%YSn^y5p5u0Z7eSt5uECxeBk*>ysru zfuvW|HvuKkudjOs%2_mMfW*P_G78R zYX65;A0U6A(gTwwD?=ZyqDL2!2%krzE2s*xo0Mjvs~${Qg!XCtUJ3HYPxoy? zKa0Nf1GzrG2Mn72D*qHJv@RnT70o+T39{h|AuXuR5!Zf@p*~vt1<764Z3Xqg+cQ_p zM1RIp=EOVfI@zM>b^?l}n5gH-fLX^{1~Qx-rmk8S46S z)jE(?Tcx=T%_)%&MynLX4};XH#IdvJJb~^)boGwsH6U5K{_1D6x9FshG4zX5VP>Is zkNGb~ua0kC1@cxwt2d*Gty%$S+-k)bkkh>nSrehgm*|?{@&VM2 zzxEGgwp*W)HUY!RqZgoNT7k)M&QO zG4xf;+$>b%%j6P}jdlI?6n*=wmj{_q)8;YsVs53x3Q%NL-W(8~SARwuP5B*bj#_Qs zL4{`#StI0J%4u;dR5--BuIuQSY1P{ei_^ciTOS%FHnKkQXf!$&A)Mw z4=o>@Y6@=Cc&&_{IQh^J!ftUN>13@ko7K^`5E_^b(XQ6XG);QbO|Iee#KY{Q(K#d8j!N_J=S&&LM7g~r4 zl@3#A+1ySC^nF^bFGy|?Ek1zC2W6###D?DEIp}kTeHExpjdwHpTHC%4@ zOD);A(MYqDT9BVq7S)C7%=a5XXQn!et%II-B+L}hfe_85=&=F$wICbiB<_sfuO16R zeGR+gK*l@wc?RkwS9SySIePUWNC*Bp*@jkoFhl5}c7H*0=$W>D%S<%y-s(kYwfa(1 zkmNHI9nm|}CidDIV=kKcw7e4J<4ki}(0eye^`j>8F@HgB@yWpH z>%joQt!n5m|FtF{`~AOVwy3E+>5aDCpA-o)y!Ou%s7`iIHb|Svzqp6?$5k|->%Zl` z2Puz$w4bPS>p@8iaR1sMC6LUjaMnksFEO`5k7Vk&gM`4;d12_I2+2hB&+so6e2A80`Jfg zkD)P;HGAGJu@PLk=J6c#Xvr;YkZDt6%~AD?L>KhH#E1}(ejVv~1YI^{a~@4~U49d! zzBj5rMqNy0JJ1971iyf!zVfiJ4S4-@ha3oRQd+wNO^>)^hRztgxCOQHI35V{v!Cxh zh+badeFo%uO6>B{ig{EODtdNdD|%tltdAgjFicp$7JT*jiwwv_xOJ(cip_N^(8p#a z_UP{7OFkgow)jL8dYp|s2~tTDeXgNItiye@a%|-bw4Pr40VK`ai=ArPpr&c~_~@?WkdFb_DAAIr%uq{q>Hzg!Z)g-bLkBJ3a&1%KNLj(VI&& zzoV|#qGuEra?%VojyT^m>RlMZMzA`{Yu?vi;hW}c%#NK3nD=_ zeoQ7AeZ6DC6;z{R=pM)zZhF&zzO8!v9yQjz{S%}e3Ry{Kuw3bw61ww5gg!{6N_bhJ z!cn&FD7<_+3?#?4Yb2sUuVpWyUo3=*LHN9#;X3r+($2Rim0vpw@^W&;;@iOdV_AwI z_e(Ts8TxkjzICYfXYXxjtGj(L$UbVI4x_5;7o9^DOJ)^;Oq06EBh)ziYdg9^>g{Kc z{vG#J$OQ}`?#@DE0xmBGDS^HdtI+zb`!}QK8+-ylGHBJN7<6rkX&Ok((^!&+3S`cH zfWDU!dj;~$vC#pLS$om!sw-$Oqg9T2#49v`bod|fUNmXfw_j*pPxllW?(=j@!+dn; zS(yPUV|vXRB&p(54^&wzIvmZq5O546+N7Ma&?m>%l%O`_OY1>CdFPyWXyU-cZy@*5 z<%fhD7+C*)4!UP;lQvpccHbOi=W6D_F>dd+6&g1pKt=`&Pg53L!N&+6>v6?9}P(#Dt>L5E<(6<7;p!Cunbv*OH z2V|rs7et})M>0;LmVXXi1LodTC$-+BUOwJ4l45R!5*k6AF)`Sz+fcfxP9&k-O;eS8m-Px7ybFJIJ~eP1p4V zOXm<4AQOA`qbu4Y-nJVh4%Eb>t-p#cfV7#3%W6jFw;u09Z&~j919H>Ouaqu?bDxuo7oe-J%PmK3)kN(;W_I3)H+n&r zk3`FE)hC1Wn&qWe(79FFW$3yUDUBfYt~RO%ePZSJ3;k2)IHd@_FIf&|^U<_6O#_fH z+pb`ZCcG2(K#zKU3j=wx;qF8$lenRl(-41 z9&(z43Qb$94KhnkEi*@RrAQa_iSzApsNEPyh0y+%^w6=i?9shHrO(LNCsqP9S%`PM}_DWXhOWDJ=!j9-~-atDaui( zm#oxDkgCr5dlkJ)4wj=n*{x0J3(beUAo;SOa2#D{cz)^~=qX+quZ+$#2{lC1p15xS zc@L`%+fnAJQ3N{CQSCU$^}dn5gzobexQkxv`BV?GNxtpx(52rVeM9|r-{vDh(rS}Z98ilhQNAEmuHbh7{gC6Bisq`B z<)EqsniU}FVyMuJE-Dr81BtuKzx_u4)OAlQ1>4OVRM4FbWkw+XVC%JwDE%(g6XXQF zqxYhD9|MxmEx}HgL00U?no{)s{$!278^b3yu$+zVaQ zfvvDWyB1!jLF(W2v^{8tR_sx9S4B`JNU|o|Zlfl3=C!E$M%^xu@NAejf=+dwB31^9 zcaO`1yp3C*7Ai5+vId>9`@vR_GZs0V0kRWMhTK4dr09oe(izJ(knvSE7(!28R~9S> zB{ZaFg7lY?zY9^d<%26h%I#t6CX`+O&=1w9D`Y@2q%%GjowO~q5+q~?+*{DVpbhGz@6aX}e1H2;Kv3CMX(9kM}NPq%xa6XrkOhd#b^>jcQIQD?K!10{*~ zKxU&}L<5@q(DOY?TG;+X|J5y*tbo3jn>Ccs{w`U4kUHuqWQ8vIIP8YL4(<#ENh6{z z0UbJ2%%Yz~F5LkMm(-*>RAF}HTU7n*j!}@mrsg1C3Esc9QV})NUAzqBWbezZLk&$t zx1rDKMs|U0fen8M?QE()i$=MY7J`glZ*~oO%`2rHbr_BM4AL9-`3Z5Lu=wU#sBOI2 zVvyQ8RcjS0e?ejM|2VqSa46q4j^krVs1&V=jEWX*L|Iw}S;|sUA*w-=C4_`hQ~fDK zq*N+KQe>$p5^6+*Bum+%2_Z>{q{MUno>!ma^x~SYd12Q=n%!|1`d_Qgg*9?7-jVFCw3II}YUQ;*@XwR~roN<3>CHzL z!Rn&D8u0Iqt)?W?yK${O)UaOY3q8J04I>#pJx1eUaer496yv-vC;8VWzU0I9E9pb9 zbk+^=Lh3yjdrl6%SnjO~AEvRlkX&mulYNj^sNqF&yo?mj!{s$nw_xX<@kcPJ^;jpQYLDq*}LhuM#3!mJSn@|lap7wW;^hL7eFZ@wiHm#UkZkeq>GP4`# zBoi{@P{cO)ukXYGl40!U<)*6!8!>f-&AVVQ-e53Ey>CndAu#n^} z{;gUMQ_snNho`1V2$quEOMhmO+%*e2m7vX?8WzdXUcuW1`FW|%aQ3F_r%3kmw}F>o zriEuR{N1qcImt?MGOB^;1M9lrxc8!eB$FpBDOE;Rh5b{6F|yrSB;#+~hwX6A(n1IL z+IcjG$@am)3#o2oVdC?J)hP3sk)Ii38(SytzWM4rM>R z57%fXzJS8zk+meVVdu%OFr&qJ3`QQZnEsY}JqL7`K&un0H$WW`*&QT*b%dBBTsZgF zaX9x*YXr%wP_0aav!3QYgY$HfDoJi*_2qWBYWL|8NZ%|aDyetMkv$8c$DqDC)C*i= zLb4A|W!k~IOOub0tfvb{LSbjx7cQKuUi}1`zkFUsGQ*8iKEc4|tAiv%%Jx68cjVr0 z9`i}AePux-{9u*-gXC;$j}fjS%iPXML!%L|m2hqVTbE>8Ntjr|u4@{HN!F@mif7=o zbg8Q(^R)SR3jEOijRy-4)xReh&OeK~Va0!s#$mB&?2Kx>Uojy|q4NA=8)0vfy*bHq z(A<6qdOu$u05@$}dWqz|Y@B%yUU3l2BRQ^pz3-sG@un|OQRMX>C>Hs6Y7KSv&5K_I zo9~8ckSq^Vb6=8qxM5Qme7bk}ZFuy@oNSVD(tpAmSU1+shp`bYLnQz4ymIkcQkt7B z2m6%osFJ+t`4L;-fN8)!=vd?AMRKq0+kGCM?bEphMUJk@AUV1WnGzTjD*6$Y&l>6@ z*>93QPk2u{tav*YW<7njie$aodT%pieu%PyrF%GTB(uH8^(-{zoPt`@qwI`-#(M%nQyCF2A9<4Z-UwT@9%_+foLa^``PF0NvJC3 z5k+!pF54u*m(pAEp?s=ZHGH#fK_|&B&65~~s@wiftE0~Ejhzb6?r^OpJUqbL231d{ z9Uz(GVljU3?UkT#k`XWOl>q(I_CJNYG>j`q{ut@jwo_|>WZm;$ zGO>Y_V$76*>n;c=!&!2@dL%RKPU9Zvy{^QaWTX^k{s&iY;a-OeKVC?O2M_rblKfxa z9qQpQXUBJvXELOX9$-Dl+i)uPjP2_>xm5WJcis`)daAVU%GZ^MJ=s+^O z2l@VR=IM%y&|}84J0#yO=57w0x;W}B^nG@!jpX^UTz^B=3d<=U$$MSH!>=$i>*g5Ty&-t|C+c;oI=X~pT=Ua%gcBz&IRT5pW<-+wK6!z= z(B;ARXC$wCePbm&Tvpr;2Q4y3Nbb6xI0-%}<#k~pOl0_}lbpfJ4koZ^-VQsc`f%eh zlHIUD=>mLHG&>$DTM1{8toDw+GT3&w`4ikJST;y9XGUa+eI~;fCCrC$DHqp}3|Ea4 zhOocl&|Wxg*DgtVqiiP&xL`AK0kSIklZSwI0_jf?OS*1{AAGH6_`;`>)%>xWPbQ$Ufm2 zMzWg3_uqzlt{Y{;=Edr7NTy8wqR;T2k>oFUrskjc7wRoP)GY@O41Z9CMyCq5ko@== z5BEX+gqvO@@1A<_c^Jz(dJCFuv&$g4&)ZE)V1cXFN67iRxS!;VM9dKBASX);%!6U+ z-&c|BeH$7#!{e`tt)RGdrW?uX{2F%_N_k$m2Gb_`rIF0&Xor{Ztip~u=<|4E56L*J zt0d4#9;}`{3p&^eE0KK1zP?S+?NswlcwC~)iR6Xc$~p;mtx1T2S-BUJNN%v%iF|mU zf2bNtJMHQuIlsrWN1;OaO35zr_N;k|Bs(m1q85CuHMosrVgoNyR% z>TUwbR1%GP3Qt}=RY5YsR=Bo8l`P9)xW!m+@>epwNm-ucvk%N)3(x)$HzIk1!NdEZ zi*&m;Y)^U@4DHqPV@Ym%NpdE1v50<6a(;E3X@-G5?gMbHh|R=q^3fGT8ImoyTum8% ze=M(0vMz0wu!cVx|G2{r`_BJJdfunzIus7!rNfES(+Ww3fAaNuxIrW6J2ZXiDfo?g z-&pRSP4e_a6?Ve~*CbtF_R6tSB)22G`!cLBs7r<(ErriXPKx8h8n}DxW*6KR9{i7F z8_)NV>LItK+bxDWH*Q-`vXV=*%%JPOB?sZD-WkV9CjXc~1bigXdk4OYZOkDV$!aBU zq0EcSHfXSo`Z5lULwn{XTevS<$%o|LGnf+!SyjSZ zl4EeF|1pgH-CPQF&y=;0Y)k3vpD;H$L9~~wXGO@8tgx~ZDsXI%lL1^ju*-&Ib|2R{ z0v#u>3W7Hi=G`C}@~WZ_;r*h)BB-(Ja|6kr{;8rD?(=yj^n)A`xi^R8(F0d2pvDr8 z&j079t`;Qsy^fVD)NIr{4Zl09M3WpFLAexYdtnj}E|C3QOR{e~ZvP6?H&%_o0pY@%|Dh-ygjJK0JSR2g$rB?coTYCD@!G85UYwA|dOI+FiJ6?}A*opjYA@$)9uT zZ#yiV)ipx$q~dEO`pMZU1q)$qX_`7z+8JX)ay7pM*}(|`UdKqzp^5AZFz}jjJhWM@ zkp;`2DU_4!`#Yrgu%T^ikYw$2`zAI(YKzp*hbOKUt$`C3JTfGiV>!3>LOr7pPm-bE z=5r2yI&6Ovs*G=YMDkfz*B8T1`K3)zKXYau$+I;QobZ#J@u625u5)WzNph3MOLU=Q z$YV=*Z9)8Dk~8yh*co_D&;Kfvtvi@XvXc&(7r^ff)(2P?y8Ii-vXzx)43eYi6K29& ztbwH@lU3ca5ym-}o5RaP*@sAm-nlyg@S$AfC75|X;2z0W&~?s(9ksiw;Lv{E4wC2n zd(~g48zM7ph}<_*Oo8NnOB>RF#hY49Nse{>TYGrkKGzqz58VqR+0()=--cVHPiMpR zDTm*XtZ%w|K9l^t2UBkSB00aWX28Ud|4K;SJDDRN;duJqev-S#b>Zq^vTb;(9?4M* z8MT577k+hv&(hzYCD|_wUS5MU8q?EYw!@8=B&%%fTpd)3^zMO;GPVN0>3tb_VloRJ zG}Kfg8DXClS5~fBvg>v$$-LJUJ`9(gIX?LhX&`Y(o@B_x?_3MhG_{T3hvF4%lJCZzdlc^aDG~xh zPW_A}d8?%PnQ%eso7d1@J*S!E&Z1J?Ww>&_r9K?W-fT^> z#f_9b;Nd#iK$0%_i^o7);o)?6{%Ttxe6;LcJ;`jz&-)G~&5{L2snf9i%4}Hfab`K> ziMwkV@6-ce=g6ZnKe>WDMsOP8lPkw?A9}e{|nmNAf=%3pR!!lYDI9k3>5kl6PBUTPU=u(Bi^b zwo9InT)EyEWiaNvz$a)c)BBU;_$D`sj+5iMC9<%#E>neM+k0{i;Q8?jHqa%??+D2f zS$QxBYUJ*?0Ts7xdPp)Wzbd_g636B=La|8`evpj3#C{>hCA!YLrezK+t|(hU^55BJ z>%dP#2^J)8AUMJmip>u=4HsoNMMGWv-6K$G6p5){S%5=kT(W2wj$NNQ*PUP$sCOuwkZ`qnBFk|%WXxgC5xDdiY6;9k8zayeT6#Y6K_ zk1W`-cW*h#SvazVPqMqSrpgJS(`a-JT+Qz?Bw2Od@Atz0#9n$rwb=A?B(q!P#!Z+| za_$kyVB2^XL-~Go6TErBq>tp^QxFqSC$|?3%_MpM>{^$>1EQ6ipe;9dC&`_=Dai>& zpEw;wa;)aLCBbi&2Gu0nZEQ^^)V{?Wg?4IFBsHj~zi~tXzV++SgnuP#wvo)}>=y^% zsokl5B!fA6EgV{34oraC*LXf9`J?swDxmfeqgJRhO?{Z;{e7}%vL-3GOHv+A8vLh5 za_2^MZ-pyV>h?pOszPs)W9{)U82V4W6$@{q2WOIOo{7(EsN7-K3};-}HbAoUl-5tw zB3D)|k%14KW-61+Zc#yf_$j@24|FwXawi#?9VP$4j0=yiLnDRwbdqmY9##nNI{Vkd zEkcgpNuEuzx!`&--;gyMF6dgmoa6?dlh%g66h(HEoOu-k&amF$(GBjv0s_glzsV zf0!H8b`jbszPm&6cfZKXfw>OJZ%Ll(gy=TdkaFfXq-}SmY$R{ATQ4BFQlWvnKj3p~3t<|lM64HDf%z2;6{ zvQS5itpe918yk>}C0jIXp!`>bBXEAOR1nFpUNs&A)3@+_UZhWN8SBN=%n* zUG{uF$*3&4zXmRIy=n++CjYmWx98!z8aS>tAo)vH#-u~>AO)_r;?|uXM%XB}(qpw!|A{oAiWhNPrr4nLHcrbZLmE?Py zwQhlx18?_1->_USk{79#bRO!wyL=1U`<~7qx$mUiN?_>YJs)9~jX^)jSv9ss#E|@T zjX4i0X-`>AveR2fHp6cr9afMwVsIl_+e%)Xh0*S**Wgj{>uDr&T58}+XuH$14jTX1 z*F!SyT{RNeLYiu*&w?Y3ij#y& zP2nVSzRv3eXwm%mDP#o2SCEY1#o?_`v(SGS{%~=eY(%|3rtFl5_p?}Q;a{^AMkG&k zP?`-ZZi*a*%hZ1clU(h_Pq9$y?3+xuN+IVp$+^i(Y=+02E)78Lq*D`(skc1MMFx&; zvs8ww1~%)HESVe1)-ZnUd=J=CFCIuT>rM|}hX-Zb(@BOy@w-C!$2Pwn8VTS34tJ(S z3z|^xpyAosaN9Tcp4sq ztF3{x_X@h8`PTG*B)hgJM#_}5x_E9e$!b;hUJn(T*k4_x6PJrrPd4Z69O$zwcLh9MaZd*} zI$gFPxe3!xyTWH#hfk9nS@S*7uy0g91xj+)@JP0*F7rLy+cCKtR-YLeBU#zYJErd- zyDF=fKsm1$8%U<*tkfOwO3pP$IDdEG36der@Qj4)gnf6Rt%*@C$shT;?j773w&)Ao zwNCO6$@^XNPr{tsb*y_Kbe6AEC%F|xg(gt-&_g>IH|f?fk~8^1@C6vK!zUgN4B2Io zY?tfX%Hd7j^?c~SUou3pVnb$%?<5sg3d+IXWxZ=irq%B1f$zxBF@q2&# zIT$4reiNSH`adH1)mt5lVL_*P6Uk#&8)<$@PYZIRFdsKe6j$J$GdzWS=D-$-{8;I&5YgTnK0#B-bRI0)ezuC_6%4v}K%Y39 zzp!xqmT4B$%jr~8fWe^)G-2zKsoO|Sa?M|RD0-yJ7s}0iA4anKUKHGhR(sR4p^E5@ zHzdm<_1tI3+3x)drVX+uSyJ!EYbH!6xj|D68h%#XN-|CdPTvoGRx`X|c5TmjlCS64 za0}|l7H5#Wiv<}aaLN9-k8qXvg?<>6?ki$Ny-ST9=E3#DW~)igjT;;FV3xkp9_ZLU z+nr>;J1_hn+_a+q8hlvQoJO(~e9B(J9rD?AQ2Iqe56Lujju6;GN{a@}g4|RmC6e*U zVmAwB4e9KHdNHe!;*6SYuICp(bE6G%Ad@&4p zfvJ;isO##o>+;aEGH@+4^Y%1?s?z(}B!A9xqoYv3UOj~5^-NTVgUzXukKtRhvDfg` zukL1&`}{`T0L*0-P25Xeo;?p`U_r<&W%znkh(5_a*W_ajqdE2-uz&vcK$4YLwmt^F zcVGGd_RW}8L^7v76KsGg`+t0gQzm^B+((_9J$yI(yZN{a zRPA=;ki7i!JFmbDRqgw5xM9T$l6&5FZY>O6H1R8}Fa7zC& zJ|vk(YHVM@lb)uHBtvhG)(==*v{=}VY_^{vP4exh39N)`v%c%VsWy!kB(Gbb#1)p@ z%RCK}Ot{e`SNG3_6zFr^j|XS#AAC=8M0$2~L+#K_A((>)n3`+2;)wapMZn&o<@?)@q#;dVX<3eE?g*a@*T<0eC+%MirHHHfgX&_Qx8yY z#NE}4pp&_*2FYt25Hp3jalh=K%BHqs(Edy11(IueDK8!dswZcW9P#=q<#7DJGknNW zavvhufmPPx4&>WohH_APzM3k@I#eXT1?D(Q?1K`Le?3X2?DNiZuxM}XP1qn_@Q7r5 z+aA*d#m9pBNWS+SuL%dqRh!v!p=H1EDw0=mRbw-ZSf^+O3)`jKNbcs)@iQ<$z2_=4 zt*=idIdvyr6~F@u86V(KdF(fmecm&a;Yi9!`_3d8Pyd!yLHFBP9VCD0mW02s>&L}u zhv;?o-#VcH-8MLBLbdi?+emI!q|O0Ysl3V$a_i@XlN_ZW(FAC!NEg`2Pc@(4knHFF zZ$HCtb8~;epx5^%Inn#$?tYmG?@T?d2DjuN-bympAK0@WDo---hRZV61d|K}D`qTQ z#F&x^7vCExA^A$C9Ur0UP<21lzWGALnR-RGrp|-X{nu7Q|Hwc+lDlP-=N@>VW1l;$ z3^MwU#SkbL*n^Y`K1vqxW$yemp}wQysj=~ozVTx*Qvu3WZcx(B(mdd3py z?Io~*$8pR$H<@fGpC@Wh7UBP2Vxr!5Gs41ae6 zhOW(jNV4vHNqz;*&P6vux3y<~kj#b_cVRE`630fGWMr?}vJx(@SJQz-92;R;^>A|Fjl*GGs&9y zJ;Mq{T#IvqQ#W5YOEUF;`Cfyi@eXM)Mt{dklF{&cV;wwrN2v#H+A>EVn7RW03eSQE zxc$rEKckjSB+q!PY$sfkknIFRcHKEia#sjMM#1@a1CmJ2aZBfXxJ1~Z8pcEa=4 zt4B$;)iM8;Y!r!ehqpWj3$-UxJ>kUx;{+hkMALw zk1q7MLt&MM|KO|kSJz2KbwoxwY+D~!NOI~&n=glv=C{j|q2{ja=g?i?P7TSnc^uIN zKU)R-BU$rBoTb9anK`=`!`u6G*TYWn)n+7fb+*hwc-&s>ILYA5`gIXX=e6E}Zigy! zNWSm9yti;(K~mfQ=fhWile{qInJE`Z^qN<>kwd`Ip=`0{#^I!x2QVnTAddQRKHi(I#3@SVQ(1(F@`#~>d1-c!wjFHGdi zNtU;O1Rowt|1$`ScXoe59*#87rsKhuFHF*;njxvl_c$#@k$pCt;w*2EuFE4 z;ok7jGbB4&%l9fg_v1h+$&!dRD}WQWZu|fZhnIbW4Yy`9qN(?Tnea^L^1E*-$#|C7 zyb->zDl>;RjO;@&Gc6&2aHoH(DGXRyX-~4(zt8oBPtGKT!H%_8Zj&tg_S4yLWvJU5=(x%H zGs*1fG57_Q;#DVIBN>MBOp*~cG(`~#+j)H?xsPVC`{A8@W0C9RHW!U~Bqu{oaWzaSmePa!yvMCbcIlEHH^})= zf0krv{rBn`{H>gk2D3lKzJ$JEp>-s4gO+a(6#jZZAci^vZ<)=4H#cuog7PEFSR}vy z?(AJ~nyIieyd~IwlH~b3Y>tArEXtCg%H-^Pk~{rbLN#RBMs&jFnE|6Dr?}8b@&=iC zWVa&Z%IRv6?8u5$+hNdg83%ZLshB^>@~#^Shwg!`3D9j#{4Ls!>UGOYmy}#tlM4Y)`s(XRhIj0%?=Z(WLok*U{2M!)~sLplU^J@iotFe6#F zI-L$esp#Fu;U**92$CuIb5$Y?h?jXrGBS3HRlhH{?9E7O~2I_tx`TDA>|3JMqnW=Y3!%Jd|NZvN>U+QpoU#khU zjjOaHxr=t?9fJY?k}i;(&6!u?p_Sd4EcjI1y&MMftobDSj=SLyoHR#GJdrwEE9B+i zga8Ru$XEGm2+f;1_ma$$A+?@xKdayz$!P3Ky9p;sE6$0Z5 zNVc!)g%7Z@&G#Ez66L_SN1Ym5cFctQ{*B9^cD&LilDWrX&Q3UyF~NysC}#Bsz>5wo zm!MNob{@%Z@VY}Mdt)CJ=V?h~wz7o+RQ;^0NpdqIR&Rsd`mzT|PRCS|2=Gmx`Ou1^qt?>D2wf!U` zdD#MQDEL_-`2Tan-&-VqqCr;%9Q{#S0+ZtkK9W3%-Rb>MY&=HfKKVTT+&q%2@RMK$Dyd=r3jLB?8C`KsLFA9 z2KTPBtc10lo7+jI$u;E>_}Xy3#3Sm|8xda!{T~jmg9dxrjY)o~c$F;_d71A68(i*( zlDq>lSGn+B&DkfA6W~!sa!XbBeu6e%whY1z7uSkqQ0E2xh4bO!;i+q&MEs}$$+oxr zY6FGEJ{%!g`*|;eNd5(`fMq5*Zqe&X@}7$}ora|uCDBmF`Ed#qn-|X`Ifqs_jziIl ztfi01rcEn0lI(-S(&jKYUgQwT8WQ72LYc>J?vl(*mz-P}EpzuBd{unu3&}We^3)$_ zvdVSp6H=XTxrpQ|M(Sz6nK~+_Q1s_~dy@ArVUjN#-1++g{667JJjv~Jd|nQ3%BAp0 z&ezhbL$JsHKk+OwS>=cv$sYZr>8;yGvKIC&^n%^@rk#i5mj7;&%zZ-L zkKl^j55>^XwXlg~NH2QW2hY5{IU$=&I2AmXvkG>9w%ZJ+M{Tnrc>`P5yFtgH zC1;^=+RSStH(;M&8cd)1qk!bJ@tQusxt_1TLGy)A7*EOY+W46yyCN`r8JxWC_$HEN z(&e}lUb?>13D#}ZJ_(tlE22oIOWNEd=;kmnpJYs!HdqBM3-}$-*016(WGs3%Er)t1 zf4r*z9m1kCN#102&Ne95=XwBg;;sDP3S<3nlB+MgCIO~Bk$XyV-W;A>0Z-2v`3!qY zzx*QE)6Y~-dPcro{(=d0TT;|WmRt0-tx#Dza6i01aKxKrHs9YD4ENX=#log3>X{^C z--|`B;Rutr3;Vr_MD! zgNpFitj0xt@A<1k2JhLfi8jzaa^)DV&(cldf7%u@(@4Ex`C zmXiFYGy7X0N6Yvp%Oe2anqq7w#3Sv7H_U-Yl9#O@nQQH4>%hn zMVb+{@bAEhuOv??Thv$Qw_bHz6YkZjZZ)t6wKyX-x< zdZ~CG$&!5k>m5uz*Y*XDv)=t7nO!}3Q;W&qxa38!)iPRxWK;^DHHFKcyW7L}9yY!t zzf@*R7+n5A?KW&UzaX3Bg=kHE12^>k<-MbZ~j%?vm{VQ~pm-ZtYS$;=cL=!d6szfX8g#yB?4 zB^e9kOIE>OHJO{?Ob*wIx)14%HVnU)5{JrbaN!TrVDvD%%%5_PC@7*l(VTHV2 zHOVZgRqlj-;qymff#xL1GU_}wIIIBu?zL;eV)LqPB>(i3=Lg_<-hDs#(e-LL$-AZa zUjiJg_IL_~g7#LB+_FtuTjAoKwZkN5AaUX3a#GA{nmlxw@J|hDz4*G7WLtWE*bjXa z3cX2Ibp3;1_%!rpEXiD!Xx9wI_HP>?8ER7NC%z$5pD&Stk-jsPNq&Knpg!DK-@6Ac zz0~AR^4NN>|AX7cA76(xDe>tfck2G|LTD;=ydH+Xa{Nwm-udnntRTx&v}Z%BPb-#_ zY>Vr2wPCm3#NBZ1$WLdIrIE=$1*`X0T!ss$KT9T=N)>mX!!p098u(!ir;B8)>U8}F zgJZ0u-jZKT^cRzSZGkoGVf9>+X8>XiQ=A9DoOwReG5qTI%lJG(0-A+G0AGGTVxA&hD!Rt%8g?o(0HIb zj%1!rt$PfOt%^!XM&;y3Ezq2I>nCjR3K4xrrZA7mlKk#Qdll#tzTJT2oBX_DFec3w2x5G}-c0ifTqkcAPIyqK0%@p0kcUheDTwOkjF5DvvuK& z<##MeW^qTvVOSIsa0V8dI$tFjMS>QousBP%0G2zi{y_5I&6oWK>#M~WAIQ%^zh;oU z+uChQ;Ye@gM)*8A&z$5|?oB=fl_o_8kes1cXD&f;fA@RPb+Jtz)M_=XBH6p6)jHr3 zvju-iR>YXZv^w%(#@|Ko{NXMQI5hXYDao8$Szr%`gVTLUhSRzmVeq@T?HiJBoTvGV zqD0wl9zbEQlOE1DyKIKvMZF8NG|X6 zd=^}=cG4~w*gfn-a=K&NPeL>EswkK<@p%%-UYK`3A71phS`9}R{ntsd@Y3bI zl1-$k&Q?W|>HBZ37VLera65dkf0_fyXqo%Z4_a1!4JY{_As-T;nR?+1XP}!qx4XY(qdO+{O zxq&2qmhZ$Ecx26BI<)=FFC=-qn-%rY$?Vy8xNrQfU<>sYJd2tQJ={6Vp|k8^ZIV-6 zZ?zi+hUvS&|FqU{NOs>ZxhpU!W%7NJHOFz}Ih38*Q3D%GtGh_1Y2b^0&~i^}%s=NcU+`44>5BS@YBU-B8;A3pXLexU;cNN(0x-EUZv zS~P`E?mP5o0m)I7ja>&{)`u9wFG0s_Nj6XGfDha;ygd~9CvM=9tUY^{J%Rl*XP3eG zMM9rQ=F?MsKVhtDv*>5Cvb9u}WVpp&;dG)E|LB<2LkGml{B!ozwd??~<@0nIP)?gPa?BH9Wq-Swl9APSW-MmYF2~<^HwH;Jld&H^HN2Q+JZQcc(@V z!4+y>1K@|Y_m@cSx44)0pvkTWd2mGNW);bq!8_jp{f-{}3!|0orgc&07QU$h%)Fwd z32V)kY$I8rjF|`E$P)oSDCgN5Mlu_jO}C*?b4fNlcIojOlJVUj{xdxAFYFimnBhO^ zEA{R=$m{Czea-!bl ze1r#2-R*}zRHH$;j`ZMCt|gAJ1Ud*EZ9iaQ)VA@?82yr?qyI&}N| zJB?&KyY=NI++ki_2UP`M^uWO9DFWZ9m+5_N7W7&js6_H?J{@7f(aZaGL31-BXGm89 zPm$dACyOpamZxMg$?04?mJcsBcUMD=sJc#)-ELSk3M0lIO7@T&AKy|WS-nmnT5zZ0 zvF&jCdwU0xDIB`pALg(&T!ikwmfj&5%^9sCF6Dc|Rn!lMbIEhJmp zYG?pXo!UCFmuxP2D?_r<{d1L}+PWltDEj@fHOW-GdD;VJSh@w0j9>}t7?_f8@BnK1 zs}{kTtK}O={@tD_z3}agKY~A~GtI1XHVm6syBxab^R(d(ue9AHckR*`7n1XBEBijI zWthAm*+=s=YGI12;#YWm!Spebwei!qR3GUZ-m@4wZ*EvmGN%g^o56|M83*C0Yus^? z@pHk22>7kuHxagnJ3J%#Et_{#!p1)v+hKUN(g?}>aBz-9Ka`oU5Qa7MuOqpQ=Ua^7 zWxaA+c>Qm-56S7ieBy+}`VFS42ZJP}Y3V3&fWbDw)4}#8p$v5DcyU`Cx{tcV6uV9vxM4gbC3oSEfXBJeb4C0+l9$#N_65dq{r^D4?T%B2sCV9!or~a}LY4-+;kUw+_}T=83y}Sg8~>1gpAEiT|SB`EjmtFw4|R zm1N{i(%%B7yj0l-laI)G!OWGD&y#$SFTZa>soP&3k-SW^>S8!a^hFb#_bR0izVN;_ zVHo{Nfpg)?t|O~RPTkdgo8ekhBP)1SSltbdJX>^@WJ~!fWgP z0PmX>eIvQY5<^9&MbWumdwpf$%^40VBxCg(GXs)SbatZ+<~>?UM@asUf!RSY=)Uj` zl3jbK{{hL%l5Qy?St9ji4Ul^=yO(4JvhD~;l67MdbD&pNzzUMH$I)4bWIRx?u)u86 ztm{hh*M_e?4a1COqeeoJ}>p)$WwYzF;aYa&bL zlZ=FIkJn(fnHXQ zUy1aQ%!vU%g=f;buT}ZdBqyZj%}UHBcXD(|_B5NjmL$J+demW(x2^ir88|b<^(s`* zvPvac2_t$1B-iK!EG&htfo;fessX|u_#E5{bW z`5oOFBtPj+ohiwFy{pKcWW`Q-=k9^=+@2h3^K41bb)XZrVW*iqDwKr*kKEq+RJ!nHChV0BMi zE6F&Ua$%U{2iW^fmLdJ-9h4{8J~cbmk}R*#O-3ZoLw7kFv-{sUM@gnz=7bP<*kvG= za> z>B|4N9A2yT&?b3%BKPhlnT}hwx{%!Gf7Wu~nVf}JNJiw5Y4;&_>A&aj;peY4B>%&@kY5jDkCktSS{Oxs6sV3Z*WR6B2w}rE}9`b=F{_YGVIi}CF zxg^8IbLA7v8(mJza z4#_&>QnLakFXZWv+@RJ}3zGRij_y1js<#aT_(VlTw5ll69+i|5NsS7Lgp#B(%9ge8 zE6H-Cg^Gw0!l_h58>vJ&g|tXiqEelRB!v(n-urt0`hKqGKJ(1g{Fj;YoUZ6NH&QU! zZl6!MuWIq&a=^r(f_T4MnG>c?6msIJJ z!q9_77Ra}kW;&6Ay7nZ0IQr_bDEQaa_Y%o_PjsLk9Mkq;MJkI>!8!(3HC6vdGJ2Wv#zy; zLnASNo)n%Q_u>xbag{kGq^SPHr7v*d>gYe19}qCZRA~RQyKX{~Q{HX8h!l9L7_5Oq zJ}j^$MRM`VJ|u5zArl5~4DC+Dxwt*OzsJNc!EgY7EJRj#Ee@MPJJ#A0RIeYk5Vo z33?yDk-`;iPkW(d=Is%4Xx~hi3o}T@S}9Tox_|IDBl+jiI~_=|kN!qK7&dU_36g8b zo0me0`t~d3kWA{_A*CcMUEfgyl`qzG!e<*_%FLzx=g8$vhO0_bHAzuR&?#e*mtKBA z3|%`t{)6MvY>tx50_WAq@U(EzEt30NHTfwiwv8J82^Jdl{Ki~GqCrZH)PML!i4=8s zJ)BRnBNkjUAjQ6o@itK9?2%n0V_@TRh!l0n*u_I}(c0@I8+dR@At{`%IrAMf>lpQm zWOA+wB_CN(U7L-HHq=X@sxk1WRbkxbo)!K2hECl>skN%BMeKQAT4^K?qgNnujkT}P6W z$+)~ znANoydhuUPNG?9P+zxXq^9OrK!LuRh$4Ft@lUNqs@H?1I^6#{FKO?!dzqfuS1u`jX z+DS%p$KoLiXnsX;+9bI1g}eqSK6U(`A;}HZZ`^`)H;)?$BpWw3@dn)dIjo3e%47Gu zCk6c*cQljS9yzmt8uWUthfBwkyd$HchWuG;>`IceYL(ao%hH!X5D9Em>bu@WK11xw!TUkLkeq;MyZm#^UA>G@K=w^2B?~A zwUZRx^j;N6vcc2mMskLhu(){*L9X-ef{vS^(6EDaaj+^+Xda1*QVEf zUwmacDbD?VdI`yNr-rP9!FIdsNpAh9t@}vP$yY`ZBtPMp<^_`dxpeAXIHyx)Q{!@9F;V6#-1Eh(N?{GSiW<^*jIBL%Cp z)+HgAw&-M$BI~qSPq6;gZp=sMIYHt#{QK(HU>$nB&dCpoBqzV>i8?8?kj&O6`H#8h zHj`|YdxR&+bj;a*5C+#d#bMnlcEdH2kK3qMK#F!rt5uO)X7Pldq_T#5UPlLEe&HAsgRH*FJ&hDS=(T=;b%{KK*ChYW zU84ay%@F=01sQcRBX!9oN!>F@(MYp;9g^E9_u7mU))nVFkgPY8;YW%kwBt^Yf~eL* zDe&zLuN;!Uw%xXr2}}6Z=mv)X%()6ui`4CcT_`+5T3YNHWb=6c&(t(2jwI zq)1+=)rREQHy?MA;`!mv4v~UK`gh{7E_K`{gIDAjOeShggy9r?w6-XrXoG>3duRzr{$BP zE~V3Nki#ktd`B*i@$4h{41+DB^yvC!{i|n@!ov?1>5`n?t|=B+Z<{6OM2d78diIk7 zh4_X@l25g$xJc4{0FUmGOi97DmvD4Q!dFs!Nhh=$YPI_eUqL?0u$xMXwm6t-A^)1F zvzBBuKhE5aJo3coy(GKYbii?vYa0BEg-`Cj&nAUIHEcU6EU+^(4o|ZgYkf zX2t=eSWQCfB;50G+GSEG?KdKiCPuza)3YvQW-|*7?ylr;$Rh z7m3=)l829)l7dsq_U=I5)w08v34e}a;U}yBT}%V?!-2dPfPLlCfOxhcZQPU=VLY|V!owx zMJCBK9iCTA3N;Lrs*z>8q+3Zo@kYm>)wJJN&zcD&^I-DJdC>HI?kbXtiA%L6Sr6k= z9`M%C10k44D3unMv= zyMJO`wP>rvT6$ePE5DHxy|ex2g1miPV-P7gSNS%EWWB=*(vW-gZag5FB?A&)V_haI ztN}U3bq`cYb%cA1B=(bn)q9&ykZkF^ z>J(^aeZCeZjyussil>(Emt9BKr-eCBAsMw5mWxR)>#v>(DQM17vqQe`s<;R971N}T zVLhO>J((04pZanO>xVX!K7~VMb3c*7$_JO*NM1fLM%s*WjArmeQf$}Yz5vEw-fT#U zCW;NWklgnX3wI+=DHk5bJS9vv0nS+Q_d3>7|JE0hyh_&Vccd`gmHUPHoM~4j&1rtM zI&K^(P&;*aF3Db7>%9WGPDX4+3LT0}+>qz()egqoUUSB2QuOuL$aGSCmF>?bnHt-s zH(0kD_wGB%t2`^}L*5paIm&{rtJX`N1?2}E*Chp2nZ6bzW9jPPM6#i(7XENu^|C0e zm&DAzL<;-YkIN-RMS}*Fk>bw6*00Fk0iU`_PHW!t;p-{8{JJw0)?G@`B868rMXe>- z_X>gANr7dV%U;Z1hFTp*Hqu*l4ib%w$#)P*+5x2 zrfd?7HMy@r3X6taSxvHs@1NdE3U2v_c){6=b{&CD^;^!8;&GRZZjyY&HqFP-RDS9Q zlJR>f*Fp+fj`R++qOtR89obpJ1uk(g-k~=$7ubyNq-_7koE{K{SZ$V8hHd&%wn-t3C@}{If-S5Q?_-*z*Uy>Q}<5D=u|92t!Jju?sWbTlnwWHljFuz-3 z{RP=Q(BKb@(A5~Wi9XM+4rL+9j?0!=L<&kAyNyU@k#hYum{j@7n-ob!=7*AE&(#@; zBwHzn%f$NfoI}MVcWJj*H7roKZG}EH#)GY?Z`3(0Mc8RQU7h4E4I8OXiXJ`dvnH9D zAwN7w!P|vZA*8sat?&%VZpgTKl@xinCOslK#fir%VPM7HCQ=+5V?SUsUANM}d@Q`! zr#qWu?%!7xL1#||OZar=Ko?TT*S7?cVo~zPXi{MN^!(2%_pcneJ?i^u5 zR;6v6L5db_U#UYfCnu#dh}NyfuF?*;P6 z>1j2XyL~*>3H{F=kl8|WWmC_|P)&A=CMh^lwAz>ysq9@OCV5TGDgTk;h+o5xVtpRl zlSFblwhdXN;G{yu6OvDS`|u+v)D6A%8=e#;NNuHgV*e2(sB_b2K0LA0&VUr3nPqAN zfAC9ok^B+*f`=4Envaf$HA4nmCmD@LKMP3qpx^r{Qm8zq_$Miz{v%6b8}0Ys1y+G% zhFgZufulzI>5;r$iQ`66?09UwEAqdkbPpu$YuqvC6g0gx{tC%`br_savg(uCUXx;a zoP7gwaYV^Kk{M~3Gt!pcXVla#=C$>z?*t3MqDWPG3y&8NxFrB)jC* zK|4~gFlzT6_;AIxVWI&zAiw5c8_5{OG)mi1pXKW- zCz9g8VTB8z)cqTVB;T_?aSO?5FFd-NWahT*ISg;5>_{Mmty|1)z*9?&&QP#)vZt%yc6Le4p{XO5*|1`>|Irw%F;S$jI5qeZ$##l8a!J7_Wt%dRu_`yLgG(b9{)MiqC(GH>{^(QR`Ig--G%O}9kL*~pQxiz`tRzVlT;I});rqzBrKr)gt7au}lVbohv z&~_m32Pqz|<0^2XeN@`4#*m^_>8n&pZrhIe%aMH*Cv8BEdOdU}DZFy5GXVOo`FfIM z-u0ASCIu~7_w(R=uPfzPSDF@EPx9YtLV8GXZ~QKKXWDPG$=2y4H+9&WB~Y_Ka~;;B zeWu!zLK_YFebDVkZ#XFkxbXcv47YiEhh*wy3Q9>pUH6E>$+*-0Da(r{lWcV7O-)i*lA2_U?CEq&Ofp-Peg7i`{U7a*A}>5)o=l3B4VT>_ z`62zPPm$YhD|{lkYL9_!uy97Jln0sd>7x?KMxTB*AF5m4F(8HF!6`N*(^D9^ixlww z0f&%f)m-99`W@KD>!dg=Wo04Ewp4#dicCgN`~~Nh43YFC3y%I#AcajjwR1@JS=&oJ ztS{OcT=$6N_Mci>2~A8?nxJFvm;qsAV~)gFlD)gDSrzK2RWBzQvrkVpK*dwpJ7I#w z`9OG8;zTql_Q~0w3S0I#-zP=4=UTpkg&+04LEQwkUQ*a^t~lZ-$w^DkfJ}b-5>k*; zdv71f`@~<4fOS?e7hr=_@LiH)AGp7O!~Hkc{NFi-og};OyN1j$QjHZ(hO^CNHAyB~ z_U{@Pe!t!p>iWF)A;stCb73(4OGXkjI1`seic&2PKY?cl(fM9v&m-I4r0~K%6RG3m z8g)9~i)^i*KA#kvP8?|fwKvfDUS#!9I^T=>20W}f2q*f|`Cio5dl8-QMcULQ6~Jrf zk5$1n*1kVUcHR&NiEuLLvAF`tj0;#c2X@bytp^Pn6*j_ZcAzUMzGv1N1SN-miXla( z3hA6MvO1W~2_tXMr*pzc{RTQGjQYM#qI1GXTT418jCwW>vziJ2dqn4ik$t{&P8fN3 z-b6=|m#L?7!pM_n>6|d?Sz=wA0?p*ha-b4N=Y&z;4FPGj@QudlE|^$L=Y&zua@KPS zTx+#uF&rgjWI~Ep7A~@b_x+~qfj<_@9V0~<-+Geal%$4R(8Q+VDJdK}?9nIa|L|HH zObJYoj-;O3)Iul17hioAz}9nih9rN<+;j_kGF)dj^nWn(Fv%tCADsXt7Yw)oT^fEC zlI(;t@87{imc_qF=FG5Ll2PQUTy`9^@eQ8~bJhG-km9l*j#kh&VZ9qEdSfmMhIPZ| zo`zu$#;3y?pTQg{Y?$>3~zI=Ez`Rw$Asie4I zeYzGjlRUE)M&%sbPKwGsckhMrGqxRvlC^8jk;0=V7vF|OtEWAO*@H&#q(CeCUpt)c z)i@-E+%l_j63M@>EYN_3F*jDjKWh@VlAPDyFfX|2&YmOi2tEIdWV5H5-GnvomOh5E zkt!cZ=9kIX7E);LV)^hCd1w5Jx1=EKt=bQG;kcsUG?}+TdJM_G?rK*dxlxL_&T!YW z%K=b}PAenXb4~7fB;$~_xg2`g8rDM%rG-84$aA55EPWo4!Lrk#>9W7tq$ufUy(zqK z;q?x5Nmmtz|kGHU*P5xlRqTCVYBwIGvq*p8A53I zc;q6ITjt+y1RJ%Qwn3GKDsPfiN-7G4!#89m!u}!2nIv=Z@v&m~@ju^c_-wXAD=Bts zFdrO8o{L?k2#>Cvtxk$&4IQTst#bx$hRZx#JxF2I>`x&u_sg?0FfsPdRZmjUr)>olveB*%PNIU8PxR2M-%gNc?TJ6Lk43!I+$ClFrqsEsBW zW?ES)On9Al9||MWUXkKv{nOvz;En^m@W@Ti5ed}O+-b`UIANlZ4y<{#$cz-GhE8#S z?#tx-;QaQU2vX3N)^Gu4+g99#K4TueAo&H)uhqb2CZQ9iYlh04rM?bLK9k{_R69-h z*2>hFWW!~3#IWn>%>UpY-_b`&X4|3x$x!~s&n!43{{0hD?6I-5*)yqT5C|p=y&W$y^QBXW-GL3r@lEu1Qy* z_}Z|1QmnnT>oxQrU)Mm2q+XW)gC7DOj7%mcEJ>dU&o{>|C54~T51PY_&AS~*fx7&* z{m{8&O(fLVzxX1|RG)T_icQhHVO zL{jM4{bT`rb1j<=Mx^_KT+VMH1@Yrg?1nw1`wv6;W6lXAe@EN$1{~e2R|Kc0tGy?= zr`C$iaI&2A!1Lt1=k4Q2cJ_~ZRwNU^UUq{oEMtP9;;`V;qIG)v$sT zt>!fvp}|>UKde|IJNg3kD;xZG795>duM1h1*A}GU^bF1kR(#0thg*-vMUlLz!Qo5r zb-PzC$;n)?ErWj@OzNQDXzjlw>sU5jE`^LcG;$hzzNBA^WO|!_tc9~LR&9sYn~V06 z;=^*8$KlPwq;v57zGJsZQO+XY=TPOVJr4)5<{hMPmgTac7s*qSvz4J+zQRIMaLi|* z5p0{%x)nbD^wEpt`RHdy;HnjO&ccy>7jBZAN>=1!7-|>r0a{FSX(3trR~rXiB4?5B_J=68l9*nDqsov|#^052^5BY1D6Z-aa98b#Yt-yQZ&SL-H@)FSmt1 zLg)BEpH<_-NKU_dP!hDg{5uoYZvR|NvNse;s^R?CcU$4A;ERK=P+wWilZr5`HBcR% zNp{sI#alLP+6>>w>3hOY_varZMM++h;@}9iVb`ESb>|~e7#jPv66%?hH^DB!g8}K( z_geOqv2eRf>})tj`Jjm8i(c=tg#U$Zb%9fL*94K=;V#V>xc}1BH2A?z{sGCpko)%v z`V@ZuMlvsh-uA-0xdkIK$Za*(XTa>lvpS?W(KyTu>In8YkfQM1?S63g&UGi?&`C>E zpw+usIiyhY$e2>dtdOWB1*1BDb;6YN4>DIt4e^u7@ZsoeO_Dcxdd?VD21JNSPP}0M zf3Tt6=_s6benT?J{$8hd3(g*<_7q;tpYVxf_P9&6!Sq?}QrD=blEFO#81wg%4Jq1? z8odh!?O+bUr6b(qNuhm-^>z4$F(`!LY8vlI!S(OTzo250jO2ClphdR=$u|wIp93v& zU+KX+p7|R|PH|d>D-5VQ!@!Tn51k^}--cdSU|h$xe3H3x!}tvx=%Do-UK%;Q4`#g> zG3o~Ol|Iln6JDD4V<{=R)>vr{`;rPBVXVo`{V-lCDUuY{EL_HEafEk%xH0@h~}Np&H4#t(&|O zmh{SQf?sa@btBm;uHS-TuJW7H@Y!oFon)$xT;p7BXbpLc4 zzMTC0IlNhMhbP6+VJRKZOE+rhZR%;(8lVho(p~7FW4d3*+R6ximRYrp6uK3wd&6Ts z6GKVCn0Z4J;r!}9H=#si?PHQZw5IF>JlmPq0-e&+2Hl~a-yBX)fZZcQ=E3~Oo~uZ9 zN$?hHXrN}~0UtCh3L%+*vs2E%gGO>!VW(v8LsES6PQzR1;#%`o)6aU6 z`x^DW2fkcZET2P8>&}`EA7-#iNcOUI_&V4*%Fmu;P82)tgVXn~kAU~oL>FM}hdFmi z@uyScUqBC|!8N3)xA*rSn4ple=pOZ(^8Df&cscN-Eh$i45aa{5H@SwvIdPkkNZxk6 zeiq3bI3MeoOa8Jvco53V?~WtI1$kSqLDgMr3ZQ}N;wnk@xBI>DweR6ZVd5)`2S?e=sANa<3;2@addvKRA>>cY+l6$3>*TBL@3( z;G=G*Qc{$ewV@U+6zg?Cmr-i652){k7Zawy@_kZ^p~T#FV^Z*~o)^Q>@h|>^qP6#q zlKf7=|};fL|=pI~2!bsHSb7)a++Ukwe7i7@`N@&b}^jgv8ihfKO{ z;QGP!yI@x4t3#x?*dae2o>0!XPKp|zpDBdhfrs9~JT0$Za75iUNsjtXIAc5xR+($f zB?YtkrmcW;ZjP{mUtRiKp_;-EhU9C?Do?@BA%#~+?!D&CeE9l%;v4wv?9uNeo4;;v zA9NmKKk6ZQG23hw$;3G8>O$=)suplp=~yRHEEg*254)DML_(Es)fY)oA^Y?mY&E(4 z629p_|CJQ(%sJ5wBOUyQKO)`7?VL&qddn@fpmN}fwJ>AxyzL|(*r>P{nkPyhC%GwR z9V~2>sL6&8vP+-AW6rssNp^!`YCBXcjTurvJkR{W|+9>>cB$kY1$As9_q&&R)d$; zdar~D-L{)ZzB|*z9VR(wA0WB#5i??8{j-r7@JK*EN3zq@n<`*IO;sb@cB-hKWI7Eq zM;DP1f0I<;)T_sqkzx-=-}SJ6oP#s0Dl`uuMH2&;orJ0CvoFJdYK1&fn0IPmIb6BA zwT=`#v%NFzF&RB9MVsV{3L{OSXm7v{lJit|@r4VjH-^K@5i8HbGDGz{BpcqQR04Z1 z4*3FIH~r}#nYTl0hZd81_g^Z*RL{JHq*!iBnh{j}aB3SV3J*Wv4K=krL!t3+n?#tJ zvO1F#t~Fa!47UuKQcVi7a)-A<3#XnzPspvph6(W6t2gsV-XQSdDrmg;nl;It{vPiE zPn|y!0%w`}oPq8FyQ?JYoU`^3Y_nfdNiqu+W;Q{UvQYz`lGpYN#=`G&f2xw=s`_`! zp={ja4Wwv=an?@w-@oKQcjF}EWx|yt zm{xK+3#J5yJRt?i>bpKd)9+h;!xJ$^QYF+k#6VLCs`gKrPjU`dpo1<*Glv;G>j6CQm3CnGb?jw3}6?Zf6mt+9Jnkis3M+pXZFee2v{ zlW5u3Wcs6`T2FW)rHhT!08%>V?Z1ZmaWw`pNa~}Mz zXIV~)l$!MFp=6?34@}yiC|^l^pZ7^khZ)z~wc&E7FQ%lxaYX43*!kq1FC6E6Ih^Ew zO^rDZ_kLjRz?ehsB_y{)bMqJ2@YCQA{1>Y+tcvDl>*sCQ2J)K5y_0Psow^V zk9_S7jSKQaNwKs~Mj|Yj7MBVAD-IQtqVLDOs$spRZ7YoXW<2;E_3ca2QiPqWr>n#B z-6Ql#f#l6TYuLW|hX;%sRuw|>t&a-Nz-qUfS4mD|TGAs}_U33M%nIDw1SK@>2fU}g zYO%VrNhaS=RRlk$O1eN7>y|)L+&1K6H1xmsG?f$$aJ_vW9#p*W3g*5#@$LWF-@lg> z4w$=h#0PT0SIZfspd);R4s=;I&kUaGP;`J6$_LG~!zVf;6V z6uC%z%YwO?ub)7RE!;;^m?(4gH>}T#lln-`bw8{`3T937o)5EM*c!n0023RMZ&;|k z3wnNKKb8~2l3+oY9|kp7T(5q1VD-TQx@HRL79wtecTg-sDPT_iJ4 z>!mDDR{zSK0$(PjE`~!_pE4oE*ZYF)VA3^@J)|J&Be&oSz2C%`tA_CR%J?l%_UGZ< zBo}kR`!L+GUYr1ZdrfYTY7+2f*_?xJ$;&FB!n)awq~Jjx{Sbpx%pN$p z7TLaa7Rjf|e$s{i3Z7YzT)g)kCm5uZ;txw-MMgn~0|A#vcExO$TzKru#xjzb5Vf)n zZZ%Z@i*>zCD@M0d?i(~u1xj93Tn4@Dq}P+;nQ|RYaN6xJ{_vPfX%s11GA{QLOrSr+ zzzFY{GE%r`a&R4ttZ=6XBGGfP{5Q*WP=6&=!)Y+5QbQYVI3zSB`NjpZJ76&1y%&y- zs6S3}HY;AAgA2ar--h|8GoF)d-T1KRJ z;FjszV8D=(-thPBz9Xc_!T!ft_;y6qP1sXZ_?Q&laJ%^dDo#jhAq85cM+bG1bv}D1 zz`j}b^WfIEW~)eEGCZsfv_?EjY-%T1i#Y`vp$%?^C;EE^i>tMRaW_ywgoMN~S#=g{u zfc7E63nW{hB6}CUecN3^GVSWG|G@r_`NRH_527-Jq*zufZV{BPJG2HCpYgIKMe@sS zePF?F<1m<)td&Fx|LIT9f~nmjp1|7VzG_nN%H&5Y$w#igsoq1*l}gelxn}WRPgp8z ze-NhKGm9fxEf3vm&}y`50i5%2Y!%65`AGhRB@*Ca&> z1790Mi#z#ZSg|AHKTmFKdB>#Hybm@Nb zc=3pdu+zJ5KFN)p`NIGfmsHw7KB#aP$?DCyc?hyqiSZ=!@8HqvaO3>Fh4AXf9q*vT zQL|s9c)g~sq#%ZV2UMdnjubUVjGYUY=t!=Bi+?q5gpZ@ET}j~((NhNY{mwo`3XYsP ze+52Tbs`^L@7(_eswFyqCwZ}vWgj%`)f+V+hVGL(r#1_o+n}fmp9!Qbp!TJ9N0J?B z{bfJY7*rZbG8Q-QU4-siFW-ZQhs3-j#fjO>SD0z%-VF<6HxHMfo}rwX8 z2-lLri-j`V;gwz8dtk?y`eUTv%9B?tyzG;o4OwBvGm<}3a^^Fv+fcmqvR+FsSn`v9&)_o(q;Gfxjhe@WQvM~WVAFaFr!{-$ikz&UWH{Qe6 z@Wf^~T;u4#fzV7QS-J_{k5O?a1$s>qv9K?;IUVM#tma65 zck`19I4dE$k>oxYobQJ#x+6vpB6X7XtH63A=Vc^&qGQ8)sCiD$nPj5Ys|7&+t_dgM z_!Ozjq}Xj^doEnp!NWr}4Vb;)V&mIq$J$Xk6Y%f`NhUC?KmtKXgQ&k?3-1*Wmm9TQ3 zL=%*r-YghG{eHgvFa}OI@I)1!n327lWZbIGZGcfB5j#oo>vvAku;t)}RG6=+cb}vO zM$CN$7ag8J4;ZBHbrwtYl0vKMHu<5X{SkgToT~j|2`TXTn6nP<3%z6y7c7b1NAiB3 zf+FDDNVf}chK}`Jl5_g3{{oJTT2KSmEmH0z*=77NnPKFYs4gLVwzO^$$@K8$YvAdV z4{YIH-E<#Pys;rR3~EFlOoB4Yc4v{IxaO@-;N9poA7R+C#lK16@Rq4kGUW6ac_sL3 z**|qs;M($CANs|--3(jx3p`2wddu~L@K(&(IFg%g5Oxi|Z~3nPzKhvj1w{tyev)i+ zi;jdW8J{pqfn-)1jF|%)TL$R;KcD|)3DpcfxR7G!gj+GBXn?`FGZ`~jSu;P)El z={q%$bl>{=fAHuz(a7P{Z>#>?nK1s(_@!{-xxwbJepQJ5 z4M|?rcQsn3UXmh~z4azQ@B2KP#?7ouo&FB<+-QRcm8O;miX|GT@EbGatgB(ot_o!QDW?54d>N&whBT z{N3oW)K_i)V-{(qmm9)|Bd?hJc{`vORIV!6Xf80u$n87`i$}dkUJAXM3Qs{H#Y6yI25`P9h>NtFr6zsj|{Rrk6iYuXOr%4mZ+p*dMCXh)h zW{f4dmA^;Mh6@tpLv?lccPLp$vWjri(#HehYz$- zs0kyPE00T)V7PN`7MwC7^$96<`)@yh!rWCCxcd z!>76wZdQ6)i+SS3D}z?!I>XoraC~FPJd!s*zH1d+x@fC4$$3^9dB8?5%@Fupaq1b8 zZND!^4>%UF4%WR7;WCNuZ%JlrO2rRSoO(1t)rj=e2we`Jl=^HSMHRd3cEV31O#@-= zttHV=&1_~WDXi@pbszHaf>)%Va_P@{Sn}yz56ovC%deq+SEpo6hi3|tm%t#$+AMzWT zW_AoVp}tM)YZPHvN2xl=O^eOdhq+p*o8iDOF`gtFeIWQCbeZT82h)l+Un3bcC&L2R zGhksATyRDBlN4VymX%mb?yBz|3lk#hXOp7g>aRtx_*uRsZ1l=-A%*6n;+djP{&pQQtq2Uayz+39q8y>X$I4W6grS> z)0G>3aJEU}326T_EQMqeBKG9KvUxj7;ehgWwWL_hYiSp>8l@t;j(l=;%oI{|&QfAA zeDvp+F;t2AASQ)fT2KCia_?^)B?VQ%=aS)krHET_*?qsK@SnZYCz3brU*85zS&_6E z^^{yacOqO}GkyWo3mI$(n^fCuNcQvd&%59_$C5)NlOvlG57}!Mufs#@P8LGPmcVzU zSU<}37ZfhoBxz1PJ729D2TQ!?&xPiSlU6{N?4eeqP-A1KEByPXmLUcCv1O-Vpw|5> zBrC2P?qoq41@-JFnR?}hNT^Z#<|2IN^za@jwvoQ}5;msBe}(@U9qA@Tz2CiuuP1|# zil;(}*=w~(;o?`?YvEtl8QbA*nNfR5!P%_-W6)}C6AKG}R%MfXO-#`<7_FB18D>-@ zwUeCeo?}BckePD6lVHJZdkvBuXJx(`X1C~Wh4*4ry+~$|mckKurd;wYjP`B0L5kmw z`&a~RGoQXEMR{>2##@pHu&ay|UAC*MgAoH>{e|A=9>`fy&kcI%)8PCsvD#23_@F5% zh?}{42fWQ~^@T^oYr;u>h}7cqP>G#-2Yy*DUqW)5>w9^)Bj|ev6e_%2s;LzH6odml+bN3PWL}=_@~w`loTg~m?pxdQ*|=oyGJvNNs-U?(baI6#DG?q zbnfRMYw9~s@BIXr$3LD&3VIG_t%4=WtTi0;__zl==&&z@?4DD zEvc=f%+qN~q@c}d#C%vaxKAJETx{G-^3kg*J)uW!!9my^dLxeH#!gPW1`{5K6+mZ) zJyj&T|KIkX@Xz^m65Gf-dP@~ZhI=<_4xAq}Mh`Yjl-Nj$zh(b&fu=Sef?!W~aSSO+ zIddxw8ZSQg0RE~7e@zPY_xm+K)lp9WV8PAxBWYygA7aoHN)F z>XrZYgYr8+pCCEI;Uy_>_@%o!aJlitQj)#>J*pOZ2M2bMO#BR2Sur`N$Z86_w`J90 zQd}`$z6sQ1C)&Z!i-+zZMZc^69EC>vYm;Ha$g*3cu=!5jQ&LcR@_@7*Iby!&L@52% zW&z1ZxUV*Z#lseDftfcZ?~CTP)h1}Wk)q(6(}UsCjU!LP9F%%=7Rg^U*{ciR*6y%?Il*R5Bxg25*B{O;REhe3 zwi$bgWIyyvb))Vv4w?_4IokKQNrpXzj26sxcVW@-&w zM~df{wCsS}9Y6X)L#b!sr08D!?ep-}( z@d_c-s8U-5MP7<)NPe}9v@KkBsofh|h`xl9oca3~iO|I7UMAEZez}-rwNj(2p~?!T z6^^ZT8@!+T-to6qg!OU;>hNjW0)0}vZH@9~81iwLC)~2PD})r)Db$^Tg7osM@WrYJ zk4T|O-IYpG5S_VetUq~1f9q^GsNP6K@;O18me6JVR2Py{$dU_!oJnsqbf|Agg@c)j z`y_jD{G(S;ly&VJN#Ca>^g_4#BO?OHo*@$0n2fAY)%mxc#fWG4wuY zE+)BW6PNu5C*Dy#3f;^Ul1cW?cgb5&5YqAl>MMQxNHT}BpZwShehbttH))|(M45q%1`TH~BxqVlbk|Oo-vF31HdWa(wuG+Pq6ke#^5()4A zXLJ!R8l!oS6m(sk@)8aZ$$f=hpL@DUUe&ij_5e9^XvGv5k@j#g$?2@PW&+jU#M{AR z-beP3teT9^G58`y%tB|~wb>-oU!naBp7faU8BUcN)lQ0UB=<{)klI>J6XAohss*HI z`OYFk=p&uE1!~79?I!8@QpXO%cjbE%;K?2KH%LK$k695^O3-}|pU+WkCiySV#|}J5 zitHuF!`hDKxg^&TQ@sM}&3$SG-#^H9BiWBz&j-V4ef ztn?a5v1Rkzet7uEgwcnnr|S$U6?pnVn=X_x<1HZntHg;E4mgtI4;{x{iXsJz?wq^? z*Q^W5g%^3(GUyVtsgC6HsA{M-+_SfHE%cQ8x}9V**s{HF z{qp452_tA`$;o(CKkDMQP?$qQli+2KZ{ zuytL!Ud`!2CEsGT#-dVxj-_!VEaX@a98O9P=shEmYid^ao6m-75&Ae##ej zjDhh>%~av2H%ph3!ew468(_D@*qzWZULueb9MNh%2{oU7xconk?lc_guaD#S*ds+L zOGP81ls1HvMkHm+Qjug5i7X|FlqMn-N%%*SAwnueq$rbAREn~s!k|J*WlM_g@8^E> zy3Uh1@9Xzyu5+CQT6G@Nct3My~$%P+&Eyjg5)Nj zVp&6tnVN1SNBOQoFxd%0+p>20awvg zLzyHqOnQ$F?BQ4XC$v zv;sPr`tRBrkUf8TsGLu_XIigFz+?cAs|_-VmJrl4Q+K7U+cB#eKh^+>>{bvD6#6?Wr;x z>MvXlx6#4|$#^t7h7CWI1s{M0cDqiI{P!KUX|Vg~>f0o5wd}%b_%=(v6*jLC8Gy{@ zpJHdJ_tx&#S@4R;^Q9!`Q_3Av=(Qlz3EEYi-Al3~w;zdsd;WM{fc#UN^GTMNvT-Hk z-(TDe*IUl&BbmE9CkVxnM}vpt;5n&|g(M>@>!lIAZBV)ymeytOA^8tI5;*XX@UcYr zDBkBP$qQJrwH)qwVp*~Lei_rYF;Cy^v;SAIbXR547u2`%28ehf?fg5Hr#H4*pkFy?}d za3Xd6SZt^O#b0PFf;YCx8AFjDLJlN4Zxpk!_FsW^Q0+t4Et2_ZZ~YT!EBWv}w7YQq2gwjzd_g3c z^mrCI18#HJznJ6;eseK_S;s6Kp^2=%FUf1WIyW3HG@Y6R#p}nfkz6ak-iNS7=xrm( zxe-^{3wsydVq74-9;Qx*TGppDNVeOTz}2uRbf-PZN|4;>3GZgF427yI=f}f_>ghQo zv(HWNKD7DWS4T2j6W)J@LUXGAz^%o%rBkSLyG{CB_^UN$1vK1$$eQFCO!jbtp&53; zP;3e749OjQw(v4s;G$3hbH0kykes*^{q3-9X4^3A%zr-dBK3-zlrZ7`x=bBt;vKhv zWVtXxU0_*^R{)Hdx8)?sJX>ab34U6?q!4C&oK;0KvVz20V5a2oPngE-5KX1tMD15I zNqSFV(lu-%`-{mvn)Jy|MdcrWoc8+f)%}ao8Z%+Brg~$8F7?k_FmbS06%JN z&m|f0Pd7Y(E1Y!S!1g|sZpaCf9wYfmvSU-y$h)~cY9w#tszw9YSzECY`n%=3lib4b zltXaExu{quHv2#($vND-qLXB2?N=Xx@?z5_amku^#vGE>r}=F;-1M;79C|rDVUtXm z?t%l*Hze&844EFCMl$3xf^I_(9rtRu`;|>A$^YwQH~?3F*O-t_YM+!-BzgCz3onC% zIX_Hc`No)?Txz4+?xR63QT_ z`7M$sSw4SeXu@TQVr!uOyur;RGx9cn4_s|k!+|T>?#NRWM-UL|c+8ko9X9tk?Y*0)IZLJxg-@o$qHs z{U5paNH!z1)mlDT0(*%A&#Om>AA<^Ked zjMaHvr(x@=dMKdJ2@T+HD~pvK-;3Gn!^|pw&tTc=FvmACgh)Jv|K8hzOpCo8$WONPdFKdmfA^d)fd6&2E1o zc{=a7|KN=MG1Ici*zw@`B-i`=E<@Nn$IcFp++Mw#tyK8t&g=phxnA-q$D`cOf}W;-d*PzG zZblyUrn@#whtEbIYQXS_8>>l9pKOXf6w5#132*BMgp%y)I(9tCdL5zm8Y;`lbV2W& ze}713q5fCtYvky&w{xNXw#O?-#-hPn)+GN~_Q5mIc$wQ}lBfD?V+l;OUsVH3KF#ld zF-K&7k=%YUA<65cc=C59$$7oxgAQC!TD1W#whc@6aWZHTa)L zA^fgxUj;i#SS=*8VZCNQtbC^+c7x2@BRY#@ocr6q1RjWKTMH%TzSv6gHS$aRpa3iD zI6T!9mrU}qcZA-6{{3E$;P;bT-jdwEGA7^PzPu%Z`Q(z7igF}p=@apV@PhL&3tIMd zY$DmFL9e{vWvQ~GknV?1AXz<25_4hH!($JiimmS(k}3RQYd5sqziteE5YnD{lX^W8 znCh@kb<#?>ujuzilK*|}XLsn;`1%n1w5vRp78%6WodXrWsOUnCW6~BRJ9x?%8%|B>IY6>xmNlM&TPrHkV5)8YZTO)h zrJ7{Q?T>1Own7I6NJd2bjtK?iZ51m;*jBh=8I&+lUq|v6*2`>z)^3b_B+qN`YXpoq z-h2UC&3uv%^D+x6N$x%Ev}PFc{B$45sj?3eDkPtObd!gi5F1VSSlDn4$@Wjt*aF=b z$a#~jOSgrNL1XhDiBRMHhpTXlTXi|f{4rWo51*gP=ph*yGh)YK@YN8R+oaiw-SbGk z>@)jSu-(zf7H0NndXPLt&WywGgOpetY)=}W>o>IU zI5)Y7{5~A2Lb6R__UOU+vJRH;&@~fRk~L}N(u44GrD8N(;3SbwG7G*87s2rTozGy2 zcx@ZW&`mBIgcb90#fwS(l0+qvpSLbd3(jcrHG{`?IXRQO?xA)5P#{|S1Z2-tzDRP# zGbi1GvMWX(lN`_L&+nk1?VImVsJmSF4rz7pngYpw|1W6~tWAtCCRtK*{T<-h>)U=A&sPl<=lh^q8}2bJUJqw9WNe2=y<+#1+`auFQBdaC?o^WFExV}z+FUYv3coH~ z^a1Kr%=k&Nr*04vEhV?K4a^`}tv>w4Fn{QU3G6;~*AaRsT=6BD3)9bqL&xPulSsyk z%01U%goQ%|ywYyc1SjoX`jzC*6;To>BVR^K$dbJIGk=qfB+2ow&A$ZGwp=WPdS9ceNVeRe11)f+ zfNMW|oM4`Qk2=@w)pGy8g=QBzYdE&yB#5DMu$&kgL=7 z%ptkjS`NDK{#_FbIAXeV2gzxFrx*yg?~phRjfaNQNVacS=WY0YLTxp?eX*>SZa9QCF57@lg>M-QISP@6^l^oTtz`LJhN=cqXFryZBjeq?J51nrQO>)bXo=kp1 zp3N*!fpSaJ^hnOe%F~u``i3A^c(&2)Aj!V(X%h_(eP5LhdqOmdNtT3^+;g}uMTigU z)qf0jwej`<|RGW?YxWJ#6T z!Nn;#yGi~V&BP;6xbWCH*k$OOP4YN(Tgzb9=5=-dA9rYdCb{AVn17(!sHF5W>dcG& ztqT3+KkLKr)Yn$<@8a^EB)haUF9`BjNiigA{+r_&@Wb|fci`zS&M!#j^1u!4uth+3 z7;<7%CO)T56$NP~e31E98*WhazuoM3KDc?J22H=F5o!Xm&W@ zDaoB8u;T-ainja-ike1NLtn9?9Qgip`hAjnTk*_msE~1}3ulosYH@{ z?9!iHn6bF~0kkfxe?xM1n>_4>k6vCM`~TSX!qnH)yRS1+9aj46UkM$5y4aActzj0s zV7jD!2wZe_?pcyKTX||0+?qFj7sl!Iz9boyw25@{U>UrDb#O>$c=%;Uly)#*hf=W3C_Gx$rduN7Xaem4N~?4C}j zr{1rPg^DoQgS(7mMg5Fk2OkCmZ-cHPyY`XHwXwF5(0}Uc6exCi!A+9Uu~7aoEGia$ z2cuX&`$+!gXDvbvWYgAX^02$5Sd--Cd0butnIo}V;M|bI-XxbV?0F2XPu%n$98p@6 zM{>TUFXBO~WiuO~L6O)OlKswba2zgv#g}O$rEP2Gku2wqyQ|>WJy&eua4?=EmSTxDW757VrBj=ooVa#;1=kQFHHlJkIEm9tWTW?L0cuSqu zMx#nF^4VuCC}#P_41WDk?o2Xg?z-j=*L+VpK{7mpA}+#c0smVt`_%R)utLWCJ;{H2 zQTGSznyV_(Or66wq-Q_@y|G1b!owb8IB`Rx1Id+mQ{e+ew&jPBoWCDa&cm#LsB17` zEZ`xmIl7~fWP3?j^+L;}6^wV(88}0II-Gb_Mgw*%W2}ZkMPKbmW|T?uZn&l9@ez_y zzpdaL{M33W8)kZ(E+hH!zYf+x#bCG3uvWn456RPyTP6LTTqdJ27q+Cxt{}N976@6B z9OnmBF>uhdC<7Wbrr#miwcF3UfLZ)Q?XbhoW0+*QkJwH8KrT8&YYgO0aZMeP`7Taj z13WJy>H>Kg{rgGAf(30+kbmuYD*SCwQb6*ZDl?zLy>@XQ;FN|VKS|zhXD`tfa^Kg@ zGoh%j@e-12GrV{$w2GLu6}}f0_aiwoVu!-vM5T@-xaP{s>m<8ey|e;m7H2n+tXGB! zU*Yf*jzBA^VC^GIGWD7q7r-qprYz{&wQLi~IOaFo3nu)Ucoe1`9f^lO7@u-T{Or7c&L1v0o<`}{YH{A-k{?S7i^hx2uid~ zjwRVCK7TGl|DmoD7#mn$L$aocJnVpN(bs>Gyam+;(?-Zhi+S@&Zp*7_hH#0UfE_&A z_|1dlJac?^7*20_5(gdFg;z+n<(ITl808aP3nzUE`b4sZ_q&h6`M+$We$)5J;K*4) zsWG9QB!eIM;~@Ma-VzPBMOLSid{yb^5s?CBNPc{)yKK zCizl|bIw4ow8@v@#F>BYki2P`T`%BHwfc5AlFl0@xkDP)CytYP*OQqrWO1Yp$tk|& zzX5*Ja&dvG#pVGd+fGmKBn-Q!dWmGY7*8pLk&nlo!U5Ko53sVj@h8b_Gk+xdk7PZ~ zpGh*rH(p!<bF%;=kofn+`L zUzH2v2IoJ35=Ug;K)DgYZj#v;{QWOnC-`BCKq9Tz9jQ`-w?v8zAp1o6Mz~4vj62D{ zb?VR|=pgA4OY)3P*k!_VQmngBGj8EaC?ToPNzz#ZkrCKBy4L?ra3E{u0JK$~FhPhq zcjgbyg2Ec@OQBO&T+ zOW$&mdBDu69xkt4*F!SGH)xN;pqk$+MX1l$>az`$X?(qlkmMQv)3Ae;L2|p{uMwdmu=VJVIFf7k`@x0SJFJ^U7Fyd6$vEZGk` zkIsrBxn82;sWANL&@GZ<@vr>}d>ZlcJ**$U_XEa-W{XHtx1dPE3@8xFSxmCLgndk) z!f{7OSSe)cOEP`JmxV)Vq1j0=KWyT4l3^h@@(^|&``8GB1nPQ8{(}?u8I#CF#?|Ri ziSwTZ$-De7Y&BFn>SqrfMYeg8T%}O6P#8a^9S_UGm2*hWfxnaPLw?9;9UK$r`b@H~ z9(wZ!ijS5{PbOz^uFWM`_eYXez^OqI)+EpPUEB4+-H-1UOd%t8 zK4p6OsvM*zUed@-Nlezl5`` zjXM87uF)JJd2$vrCdrUzo{7$Z|I7xKlU(1YZRSvA^$Rv+RhAqeIhWUDoq`tk;?kh= z>d@OHyZF9WHGH^cODo)Z&v<}jW$P`OFpa!&f0iQD(Gg!pG6M^TOyM5A4kwb4S^RP@ zoV%zr0!kKUUw{Tn6Y@!Zeh#M+Mr-;slf3*q$38ei#Z+iI*_*vg9tx|?)+D(#S0}E4 z^X80fCOJCXk9**tY8?j}U%a0PO=euZO0s`n`mY?Wlnt*ZSy~BxJy31xwsAQ9teK1~ z$(XD&k7Rb8R$c|4iBGmA89UC5?t+mbT_MmV{LNXC-y_D$g7+e>-Gg<1lU|X$jmIKB z!s-9^{f5lI?UUuGH*s`>3fvf^s|T&Wt5}kplKs-I(BtRdK)8K(&uNlf`n7=zw|i9- z!J@t!&q&rq_mnoM)p=qNhI#~u%TupoD_aS6J6URx40XP~8NBAK<_v@Dr~1PYn}3lc ze_ms63hc3Xdz0i%t*d+tpRc?14laM3`W0u;$@=byBP)fTmk7U{3ddGw9>Q5VBV_xAGIAuQfAIUVk5U4r;tIijQmCKK#lMH z&!MAx8=qwMcRwG3uiQ%{W|3DrGG~*Fqb_mU(DuWT^-$T-YdgvBZP>gY-nKQ4f(KtM zP9=F?ZD$q0fvO2lp{vEvdy;#g;@%8J>QY*ry%^Hv_9k$b9>+*;ZXO+ z+9Z$~n8j79fS*++Hjzv}?yp|hKkFkyiQJ!DJDp_wn0{XadY;Q&4f&J*vnTl* zPltKJaxuS9IPbVqJjsh?nB~BnaP9lh<~Q>-$-Q=9QWq>8`TYkv_T8ak{b-^I35gz9rm3eSp)B!FGGzj8%kjIi{&*WGum3E1KxQq^^0V* zuKPQYNeWeVGvORogAQC>_HYBq-=cTJ1$y7U5J2*dEIDx!vI_TKg7Nd%g(P=lo<$Y3 zQ`c{S7cb83Cpnh0r-~_)XA;I|!ei3COGvg_eA8O!JfU(cG(CRPk7TurrXGiqhfgNM zo?i!Ukj$V%u8&~ycdNJ1YmdPKmwcCAe}JbZ7}7*trUF;#{1Dv?zu+2)!; zD`9KS_l+cL?t%~Qa5Syz5Y(Sj6bs8z(=$otiK%Dq!g~paUXlzQX^&1gc-(FT&J<%! zQYBA?Eu2I04S&h&LZ@I63zGL>@FyF3c(xvZhkBo#f_1y@q>#bqR?h)w`)bpKxn$yoHHsuV>cygEaFWr?btKEAOl%v}G#uOua|-wo@Qr581(I2i ze>We_R=rY5GFWNnnxTyH(LQK@agUH1^?J!U$it9xCYtcnq@`;}USgEu7I;xe!W*WA z4s%HErQaQiFeTvCRrsO1w4CIe@XD!&L7x(OV7}wAaguHI-bY5A)Y-gs9%Mf=T}85n z%(ZM`?UUIa(AiA#Fv&brHgXo4>we0DFG}j}k&L#54_?8U^Uwb#`AwI@C(k3_$?a8v z>yo$Wk-QO^^_KAG2_08xD?aBS$^9KZIU08V8s)-O!CgfphgPGXk?iE1$>Q@#wblqF znD5}PMY5K^*=`2??9H8_UX`vt$t+x>dIDNl}0kWTO_5Jh}4$#?W`l4hJ|f!qSK2N{g-tgH9Z^^CYKlVCps474VM- z=Y8*OfcdU(zmV)pot6J!gY&Iv3#fBrUFv+OWqZmHZhsMIM=}j8ckYHcJnJK{dd13f zB;!KqylgnOXnGlx&K0O5`Hl1YKEcJQ??$1X+*7HA)H!gzP!+N!a`oZrh-fR4`$Hsn zCtMor9t2efY+^{x^ZkYykkO@a2c~(*y&&1g+lAU;zWon+xtsRgG<=ZIq+Uhq>eq~NG?>Q0<1zSCnp!xRA*I{eZnhKI# zv|(`*9DFwOE6EBmnIN#3G`%x89fs((Ye3f3n$;xpuF5@o*m3!aCrp)%4<#AA|Bl8( zb!qP$c;=+TeUjfNxb`))JiN4v{)lW*1+Ti>pDnQXr9(Dn5)W^TuRP3FR4s2hh%^2 zz@_4^T}Z};um=Iq<U6}Gkxj;P zW|7>;N0XPrkd=Sd!Z~GKTS<=NqIy4QlFd5~+tjWnlWfW4$J3S=Vm6bUT({7!W(IZWl9GORQv~oOG!CeZQZJ|)o8V{2FQEKsFIO*8T zIC$xw*cFm>;Najrn9$9C1ryrU5ZMUDKm_@M`5AOPH_Y z;7an{ubUi%wF{O;lf0vs71LqhG>Kx^aBlb+JS5TCMsnRlUJb&M-=*R!sMBs=juO=F zNYH{u*vHJ^<~ko|lHF;x)gR7zYI*|x)YZC3vgQ@fz6G;1C7(dAOC#?{=J{ElzQYL# zb;1VJ89ecU0{j?ubrG~2{m&Q{>8Q^3^N!Nq%P54J&wSR?1FT z5`Q9yR9;)2Dxt*l@aD9@RH%E-wSZ)96tsQ{>y8?HAQ=~i)qle5UDHHY zlS&^MGvWKK-xibn__}5jxWVj+Bgy;opuiVi)kzD76AMo#!SOjk*GX=AvRegQBW=?} za@rzSeT6||^95L>RDi53%=jX>fMkF2_`VvJHNCedS;kgXo-p+J?NGSRAUz&d-ipZ~ z8S2yRx}e3m)qmlg2@9tfkzPUaY9v2wNZ0^&?)hm=@=m>Paf2xi&w}BPm&IpD?r-zU zm*Kh6*b>;X^l%Ny`EX-*2lQ0h^b1~1Fp^wDeW_CxDZ@F(W-Nz}zeLSR+SoDR0`GRV z1;EdaFHVxoM~x+y;4;&!LTFbOS4A@XmxZ>#(>Y%K&|&TtF=OhzonSl*K9X3n6dpe@ z%ar8Bj7@NYAH0YBV0=&eagux1lv?=z}#ESGhV zaoT(v$(0h*+Xvkat46|qU!+q=jCD=2qNDE#%nQlgMt;b`W z;a~ql{v;=>Yu5=VxYO<;{9e2I7CgIl;S-YG&Xa!+D;J6UAX$!=e+pZWT%}e87##g< z5fm1x3z*mZn zFCaH*Z9B=kE4geK${$jiXic^cN-#-o-|k=9Fu${NJ!II_ZYSv;p|bt(-s;>aC~!S7 zm1K`H!wO(_itkgB^>KpJ2l(djx}PxMmzL;8GTV(glVnD}m0SWqFsq#e0zzNIp3Pt;#daz>@p%%NlWR5l#{J{~}_CwcXrgx4CIF2TZ$ zm4zg2aJyLr6PKj6z;jnm_LIy8#XvE8QZ~+Y7PJ$#UP>~e4;q-lM_<&P;Gpxgy(E85 z9U}r-n|w+1fx)&DFa|{#x#W5U3<0f0pD8MF?lXs*xXeVe+1qm(Z=Xx|8H~ zZYdstgO4&MZK2Mh<*{?1#?262xOmoX3)p?eeh106n_v_OtpYSpldM0V6}WI4TeJvT zzUZ$enK^6QTH(5q=L7JgM#%&R>O7j7sR*Y@$1Q`|VMo@He4QcBZLq>)^FC<)ZcQY~ zt6e(bG07Fk8*GM^vh96P_hgNbBX#BcxhoIle6MK2Bw&=bob+AC$fHNoeI=Xy{|{It)#A6Lb<5_TuIj6fv|({h`V1jT+!;34o|N)D<+xI zrP|M-k+w3QWJIP-8iHE#qvG4hd8a-r!JR{|wMf2*Z@C%#(U#{-@|4Y!{NcSv$4|f% zoqZQ!1=sl&$+c71@C42~z5G4NSvx%E2Ylu$CE`q;=l@ZFSIxT@k?gsZ^~SJU=b;11 za=vlh2f8X;2!k_EN1i8{kwW{g!DGHI58)!dc_Yb)bK&rkn3af zq5SMGhH&g;qaDfHAoyrEY}ucG1eUa>oFln^Hb-T{mk$HVp!kX%btES`&+;>zq`2Y_ zj5?zx?Lxf*44Ju*=k-q?_H^`Gkt_%Mw>#ma^2#8%Q1@00$&AZM&4B$1r|v-O(}6EY z#?`;B?NGqidKhkQGnmMx-YXmDF=1}iG#!#Rs4uVqMr3~54nt?X+YifQoAe|aFTh-t||$3-M@XEWDGA#uYdyFm?k)3%Av0$Uovc$fGas^z*ZJYx~*P7^28bz zu;6VA`Au-3SlEl?cBuahg(uQl;^95U&n076* zgXG&O#{GiAXO2j^k%i-)$|O%VaPx8~#$RI&UAHV|lU(bEGY^m)rc8SwEDEowf`3Qv zwvg-ww=4aS-EdCKow`yjj?RK!#e0^*UNr|($h>6YL^32C3#I!r1HTM4JA z`Pq=n{)#jg{_tpR&1L@w z<(ZawB)dFTp9imv%x!=|epA1Yv{7w*9O_&3%IqO)?>EgOnL9NrSHY{7Z`#6RlBpgf zL*nqs!*E^yfjBtL$@L1!Pk3fk3ZJqJYDpgJruru+pfGI|YQ!?6ys0yJ{HqGw=+UeP z{aPMdlAK110#_Jbbm<^WT5vj=WDi|9m=1-fxD~^!;Em5o)=2kCK3wN8e+VW#oi5=+ zsxJ|oO)^!l^l3ql>F>=*&dCVB34vtAS0_c1eSNFhGHCirdmY@rTzMPG+MGFQAMBDJ zjewGz&lgB$^5E-ySnO0@2_vfWnn{L)VNxHQopoI3Ao+RfK6#SA{e-h7R32Kt2C8ja zzJ=tSubtx!tqi4(LF=qPi6r;7Libg;^F)0)$*KIqtA|Cd*L&c$+T?MPU1Sm|6GUFh z^PdOx6j6i1s2(Pns~e@`;Ivg^SOYg zjLJchy)x>i_#txb--}AH!}X*V$rl`EZ3Ha}{`b8MkFLR4z z1n*)zfj8fLeFvAWX#P&}6>dBh4k68E7ATOs{ZW?|!AnD@jNwDqgAVZHtDQb1S8UbB zFgWMx%JU>=Kym&xXn%bAL+J5Sppj%Rbnp8D4PL+d2hZv~opzWyEw2^MhZm-D4Polh zXgiW=H4wBL#yh$nfoGoBoFf^!D-5$?09T_7Dom5BBl$wdgg!&!BzOJfGdm$OnKq1mSiGKO#;9N34*M^}?uY4OhoeY_V94%N_=|5}054b? zJtg@o?`eL3@6~4fgq6{vqDQHB3S(df%<*np3=Nu}n~>aRYfBuVV?m}b{HPQcPBI-_ zYwS6sc-37`lA&gBB@~{_J{J!!%{ZC^jX8Vnll;`LTVBJfE+$Tya>lGmgJJ)}>@)D7dctK`5YH(g*(stvHSndsV+YAv z_jc_sxX^r=WEg38M@bo0&YHNKWTwXc+5pS`bh?m?xjSkD;P9KWlW-C%_Y%o(C`c@X z%jCnVpwV&P7Lq6UYimEW+qOo4IO^$VTQKR$AVWKR0$KPi&T z^m3U4bsNofNyZZ+Jqx($y6O(dm!A?y@@JhMI|VNf_oTtSPK~!oURF&-HS}7R-wHpa zrVNnW$Nn*01GIWMgwZ)GK}5LvnA;E*OXB;x5UYq|W<)PtAjib{t#<#op|+ zg=&TyJxKQ2+?9tRd)oXs_%LYt6_R!4i$Ez%-_-XC-sHXeNHR+oJpB!y{8u>n6m`}J za8+QfceEaS)f8k&^267=yTYpLHV0w3ykRuS^FF1K4xNT%i(!JJ&~uWj|NMI!WG??O z2yHG@iJzv)ODCrFlX%<7Bq&94QwpuMO3 z6O!p(Bm5pN)cg4zX63dBM^kUXq-P4yC#ZN4oY$FQO!7M{V;!J*d58}*Q`sFx@_xnG zpN9_rSl6JCm*zu~J6NO82rXBO_QJ2Z{r^Z#!=$!pF{Ikj=kwwHo;!vlTf!;R4t72` zyBqq?KXQa*-MQd-4n~b{%7#*&YsyHb*}Fw`aJu2l&oCiJ><`I!tS~5bhKxMISA}C; zFZ4;ivg2JV*jkpgljQx=JQoD%y{8yhC%7kryj9bmS z_5;bdo4xcW{4qsI^eovNCNY!b+k75g43}@|G=V!FzH%gauT{%@VP0ZRIDGjpA&KOE z^E`GPPN?^(fGUPtn@G-z9MiARa;la<9LYXBTb5)WyZ6zaWEn1~^Mpo;_e0^Sk=%Ha zY2f)^4&=NDyAKa8_j^q;RI{DBptFS8UuY4aJ>?wr{rJdKgUV);3`pLClHb-aea>e$ z_%h;kFmxGyaE9crVCP+iE|1QakeqI<<2A4}b#DheCFcAKI__I98Be{c?{$=6ugRR{ zBwmM{2v$iIjSpwWTyAOISDg1@h(BBC)Wx|M#bXfDp-Dwo>L}Oh5Y+T{!4Fq zUXUz*wP6;NXX!2_d8N53rf|EAv=jV&_^%(yP59h>94^?{kPIK(eRzZ9q|CbU2=b#Z zyoGy)BfpXCVVC`aiR6)L7dgn#vRFv6j$YI=g5x4{H^X4RDSJrf)wZ#tP;vd21o$qm zF_&Zr&3g0z`bOlxfhyf8-6VgtL(~|&@-SfPf26hQ4t0{ZJHc`#d^DzS1M7X%c9Glz zwNpc2mHxk2l2e!4n+bPGzP$^J4phE`1)pwql5AtM)DakY>*S>K)ES~2I0p(Jch!YM z16CIB&}M@jB=dT?dLaC7@wC$<<8cy$3l0B#y$xsYX|9H*^^aRge(~~x0eJe#r3p#Y zc~$DPB9!qzxD0-5-?@(D{@Ji`8?3yyavxMyoF7SYmPAfZfj@@?Zo)MVeU&78{lj<7 zP;lwfK4=|ZD3nZ{R)5pv;lDl6nvnG}Xbs8yw#t1AG+b25N{0<9n#CmlV6?(>IAchJPx9_M_YXq*C#~Wa$#k9P zN-*sF9W9bOosnqMm$T_2d?B&s7ReSlwCD+Z{eH%Kl4WTk z_5+3%4hW}GXWQ2jV|dXj%YkIvzaQrV=c$E;!Pqli=Slw1@aAjK!NvF?yz_K%BgvCp zGOHK*Bu!vkBC8lf(@5@2&-VGyx30zz-q*ipM{+81uIz?eB;t=i`{1MJNcQ>mJ=svz z*r5z66qwYJEQc9OKf~q_#Xs=L7jfw{>K(HkR)vRdcj!YGl~-0I&iI|zPo zN{Au(X7@Q6Pd_nSD{;q9@fo{u&VcZL)iCpT<)Sk$MK9_%K!zaQY*OQz& z@7nF~-21ZquybW@6v@7rmzWCEWWowycYyCxl9k%I^#e>WU-uI>T+fl~*%4j=xfOm*{~v2?`$}?c z&zT8ikn=~iW#PyUvIgC>tv~o@X_HvZY1CHV^=Vgw5UG= z^9y;GNxB#9dI`LIGPwpueTnEGxwCEke?f2FcF9cY{HJcN4BtlSE{BT0RLo({c4;=r z4le&20E;zyPLeGB#D+_-^SHGK$iXqA9SfmFuB8#lwvk)08776Q?Sb>#rgBJ@n&rO)=zhC5 z7v{`-`+#J2hE=|SN?&ev!-)>5Vra;fi5 zX3#qLL)d*AY}#Y9kK_e4uZo0O`Wh)PiYt4Qpyy+#I%-ic<@-YOdc83UNn#7YnWxMg0V$sY)Rhn=^-9)@nMg{@NAD=9LYVho^=H> zZ!Ro_2NV@*NzV2oBA;OXm!H4k2AkH&*Qj^Ft!FC#W9iPrspz9PfKS;%N~siLY^f}f zP)epnX(b{=O{FXmAxp@FB8f;T6;n}CNy!q*C{(oAlTuTZQc|)-%X?1u?Vr!{J?H1l z$-O-H;kp;~Q!JQ^3LUtx2Beg&LITjtLf2T3oTX%Q4$VKXC?6yWt>kz#Tj_`RHQ1{q z_KhNX`b)JwI>x%t9OU%5bSLzSQi2b<;b3SK$Ois!JA=-!w!MMI-ddfq{vjrk4SN;Y_fA1K-sW{c%6Zz8C1^qHZ97!-M}{YAW1kofl5FX|WVAzl=T(r< ziQQ0!?(SLAgx<2#{S5M%6$-?4P+MJmBC43!Hv{CX2j4D4>oz>KMvKdfTtT*T=A}?{ zOU$uEbn!sgC6LLp^(aAGO6+RU+!d0;14-xJ;y`qdL*@}QoJ%?n5{IYlFF=!GJs+c|dhFkV{As&o{pgvyvn6j}R#PHD zZgqmB0ctidumU}3+r9~8_3qdBqAD})M59j8m(PL>(RchN`pF^u0jf~6>lH{BOxyS! zO^IDDdK0YptS=8z4tAt2YH)Y787i&z(;g%{4!z%n7IoJ~phs-(o&*WU;;d`v4CUl| zXz#&@=OAD5#p?^Y-^y`BF1WPNd=kisC>m&@dt;O-)aaX(4agc>47s6~ia+cF8As*% zW2ik-nu&5>uG~RAtxnc~^wt}Z9cbCq-M>I;M}*V3TcFLm71PkGYYpe4t8S@Sf@CT= zb~_poHXH;Ja_>9h(CzCQE})BZxI(mk;kyhL^C=Z|^J&Zl>BQG%4^g3|*{x{F`IH`zdNU?UEFWCy=c|AY z!_%`ta+2xlWoS_P+>NN3kh(WW7bjmvJyEYp-z> zoqJa%1LQ}~B#O}8(O;f|TufJU8@j>1Vi3(QxFK~Le4vo30qJzK^*B8t!XV1)2JHkLIG@%k$Tu;#bda zMLWgg13=nfPjD<+`NHKKNVT7*s!=a7Z5~~`eM%olhSi8j+y#XVdK5vzgng}#ivFoG zM-OZ*a02?`(W}-5?dKaP&b-Xpmry4$SMU&6n4nK9=2K!wqQBX%?G{lY35eNF#f;8X#b{i_b{%Igc=@b?nLDwl1^Tg7JYQpt{)_LX*0=t;I&{q5|wx{)c~DpBC!(W-(Kq9gw7Rd^98v9 zuV>LH(NKIAU8k3M6J$r9NqT@v5&K`EwoabkK}PbSz36?=Qhk{`y5i7mU6Ahop=gHc zuak5@r{xXo0^xa>?Gb2EM9oR`Qb)-(kUYBT@;x-*`tj$eqfGc0kT4C{HKH6OUph=e z^URiOg8Yl~`V@Lgl(az??H=t8a$BDc?n4b`zdweSoT<$O*~XuD?x1$gS#_xD!xJ4K zW2heS3%wEVHLe2m|FLlzNE>Z1pN|d}&9OxD6qUDwly|t)UUbHXpK&00{90WhYCf*? z3HsCT$~%zAY)&3PtrtX&t_1(2c`JjwgM^bIy253}D)eiW0S$6y1}b|{oy0LQXm#IE zD#$9(9l7Y=lKO`rvr>a=Mc>3+?LkXAPKrGMM_3(D0O`2A-FoQu@tc-`RC>tDji@GX z=#AzqQ9Xd_UmBYNlD8y&WuyALKHdk3oZ5zFRMViW3$;tTHu53t`E+E8EP8nJK`r#w zBcDYer>ec#7Hv7SY9~7U!-zq1EY*&KY+ssm7V04M`z|U*f2s!=#j3`SXt4IZ->6DV z_V`Dzw|;Mm1{$*=Y5}Tw%Xb|}%~7Oxpi%o*2cu2xbB}_gs=0awy6eigBJ}o{KTkn| z@ab$r%^I5q(S@e>rK(`>edn*MpkjYd8=-@)(W^mD|FPc|G=KUQfAn19n!_O5)Hjbs z*I7-=L+6%^uL7CvN`GIYuYy1SK#Si$A5{(4uiK(g0TLbMGA-zk2GNa59{wWq7_KM# zwRtkCwyr`OoptNRVvzeXHFX2}gNgA#saF5}AUm*Z+X-~=vc(nDRCECcGFr1n`~~Uf zC%a^xfK|gUri0Y(?Ug2IR@qG}G+8ap1tjOj9S%Wvb_OJ%R%@Iuf`n0yWicuzV^V_- z@0sx)ZE2o31oHXwM~;08#;1N&1v$l0FXy7B&JWh051-_21=-WOYyg@c8ykzx>km8! zGNSg|^U*1J>#EU{iVJy=cG^F)5A|rBB=HPvTPCCgQs*ys>!VjhUYVl`UJso>@_Fqo zA9U&bb5ZD$@RpDmq>$xD2EhKD7Rf*3N{-I^flVS`$I)d-vp- z=sqhEQ`9>9yERBA%D#3*r|hi?1&Q@-`H85q>4i&Z`nmWLkZ+a;IIn|bsx zdR!v(EjsAo)(=wl&uk>?!9u;oBswuk#{eX~`{h=mGFD=nQL^}lFG%c}%15Kj!N+G& z`FDjkLEdd?#sk#jTEZ)Ig!sPiAh&X-yJ!Qryunr;ZJxD67i8rVXPKenhvgm6bxxza zK&D#x?MYNP^2s%jHu-S-9_nL$@j052mG}ju;$*@`G=gGYJ13!YYBy+tq^$8$3XM6g zYlG$vD7b?}94#J({x0r2hAJw)%LMt}gHP|EPVb89Ku%}Xr4IDi#bdwFtD~54O<>S& zk7*#=^w@4b`bo#k5@d3c^|qs>Kd0_RC)r5EqtEa3UjS)dsjU$0*#GPaNPTH5eus9O zWe%Vhvy(~#^fW}zHrTHMiFdP>(ddhW*?Z8)A;lQG=d_pfpi`G!7HbAA&mC6)+0WwPdT7ngUCTfw_ld(sG-=jyZ`3zI{{To^ z{!mImXV{Fs4pKRLYrD{hS9eCffc+%QvSd+J_JkJNGa_OUNcg&Y*`fz4Hts|%G|U;0 ze-uCGINIDvW}&B7OO=A0bl%T;bc*zck7#UQ-EWXx-g0+*3%JtYiUwM6HhBTac>Il6 zhbnFH-htNKa|{OQFtrs&QJsSZ86fqdL%9fzTruVus(EFo4J4ywItI}_yXvK0f=`=D zRY2ml-c=*i?%2uI=#}BfEohwWZhw%UUg&ff-9xTqL2iApVIJD?N~H?bF&p~^6=#Qk zfb8l~A4k0cU$`|)1)1z}ZZ`T^>)LYEC+?IZNDp)$*p2R8=W`GpzPaf%NbQ}lDhD0d zV^o3qJy&f3$*#H5-KgBTUqY?m%i)icK|a{^5#QGE=+_O# zeIUHw<1`5#OqG#QLZgEJ>ZAFuKAVGdn@O`1DxFsD15)#d8&T-iEoaZ5hwdG^fnHVh zuLQ|wky~G)-`=nN1`^|z&lhSSujp)15E%mVo-yNRXf?7A;@XoA)YPmps=st8BD z`fennRTimNK{lZvrVLG;9MFXJ`E2_PGPhbRh#PcTIvZyK>4 zji~H$1*ykmODI~szcLXG`E>IVNR};0D?y9W57(kDqXR#H#Kj%X!|168meOtD;#nr@ zAiwv}3}e)-bD{+*VKvej%A4MbndygY(F@Oy9`Wc#1y7NGHl>|@j?Irc5coc$iy zkLucQmuv^6iq?@JJ$u4J1N46I%#|RO@@mp%RAZ@-AG$QPI~tY!`|>PEL@J+qg^C?I z@*S0H3le<~wk_Eq5AvI@Sm~lFqfN~~PH%^%1Dg3n)(dsf5sn1eY4P7qqHW!;uAyfv zAKe2Pn;Uu0(b412e?g@@;zoRc{rv0qPC{qQanVH8;;bosEiI2K zqsmz!h9H$G;kF8G+igRmIn|5yfTW(5P7Hc8Rxa&d?h?HP63**?JVa+?ziCC!k9ph! z@=x~^ihTm(pQS6HBXtw>Ku$9`bQyYPz-=SCVV$iv$nGs%d;sm3JSzocEQ92)qqkp( zm7^-gz0DwPa*pppJBJ>R>;%_rye$h-&i693P$`APMW}noK3k9sZFAp=k|rA%H0bP- z;~;TRST_sR*rZU3>Q;sMO$?`Z164es+ESj_1EDzPF)~f<}vDu1m(AkL+y=cbg z{!v}9Z@5+4RP@r#XS30&@g>Vaw#z5e5gk*Xv>Vmd-+vHfRvz;_jk^4>&p{dMWfdTO zDtC4Znj@ps4N?z$C569&E%gJF(JuXVZIHZ`QnMJ9>MhxT%B{cb0TQi6$M>VNCxo9s z=lkut0`dbb4jgJeXL%zkbXva?}emIEPjyCgg)eZD(jTnz+K9N5!t&_JRCZu_Y2C z!K&@El+gLr@^e6rQXRDd{kgx_3Ek1b`+%&A>60k5F8%fyG)m~=4Umc4m{^H^=Jvfr z&nWHu2GXncZ4eOx2VX6bLo?><&H|~FV+u>r;lWY%X!?dePmo-d|27=$nea3jP4+Fi z3KBid7t7E$y2qMOCO+&l$T#)wB!t1z)pirnO;?uA1i2g1dZy?J*Qx8#jwj-7Aj@d= zhoaje-z9=f&ZnoBP&4!564VR6O@lPy%nYLm_dKLUU_TXQdv)|in3*xU@U@-=`e=co zGf3K=mIy+R69Y#;LUD83d9*wKSpll0Q1TcZ_RWM>+@Scdx}<)z&}hG;DC`#z?@6M< zU+oRhdDhETq9d=&-VCw^(n@|H6HqyD7QLw1eiK!Ssd<3%Z%bZ*wB+*3-_h`l0@=@r8*R{&oy*

lSmuKxRxfnS>UINL@y&+<)EyY4u0% z>(DB)t^<8};O;Mwn$w;&P8>YEIC&cSj*XZPl16{MEK$nYaXb2^*nBTY=*k(yqefxM z>1bV()NPO_4Theeswp4dft>eX-2f_LSvpz*6wSM$j9SQ?Gz8fbyCYYjtg^?KDV3yUkT@f%J!KV;-TqMTT2JDrZ|q587Q;FD40Uk(>fZDjm40ho-+e zxeR?{d|)F;JWbo}jam#i9Y7D-tV{uU?;^wNX!khPa#YQG>ZB-Up9d1+#Qkfm94d@h8 z=}&0yg*^!^dOToU8_Kh0o#=B(;Kq5pTdmZ}TH)RJ})O;`)eQxM`6y#0fHfNyH zKUNii+>CW|pP`GdtF@yWrN;e4eRlqq8UyO15Zq722XW?+vQwuiguiJuTzJ$AZIi|4c>K9_^eB5>kCl z%h3te_Z`t~S=V=iywcb+2T>Kz=+mfIxnB;*O`ox)0-X`HrUiZdd0scjYAl&1EDcUO zH+~AL`uC4E$S68}UW`sDe!c;nFs0lBq@@CK_M@VWXHKBG^A24Bsh*>IIP`4amPRzu zdTl32KFc!xiw2I>m@p1>^OTtZ66xiCP0$rHzF47iqncene%I^r5Omy<8wntHRwSkv zt#S0PL2nmreGjs>N)|(Cl>hv(<3W!G4K0Ye2^rYu%%TNKAoW3Uf{-Q11{0Ifjm=-Q&`Aa_7J+1K zLWM0F`}M|7kodDMl|h9wV~&Ho(OruM^oQJnPawBr-}FDIXTt=Ub>K|B5z|5TY*N<( zG`;i1I&|{d${irnlyx&0eNChtMXj6jL(Ah_~ccTMe)(Ni%eJmGF0m<--Gj&jNA=xD$QNBaS4s9su_CQZh zd9@#%9QyDC$WO1obp_2ZJja2Y=dmM=sKK|OPW1Qc9e>fv%T^O?VBa`V(;29gyXHcW zQRZZ=(M|90>B|hTmh+#AB`J&@JB{<%8U;HTl)(pUdZY z^r>ikAIP5F7A&y=^yFNWP?M?a=YUK(L#;sHG-+)@cNkCc1!<#Xk!aMq>-!n>rRD1z zAeDWssuHahDtL*mce(HlBsI$8MeM*E8XL%2xtl%@q@@naXJvcJ>=tPidc^)zob(`;IipD0` ztVg$hUE~JRed~1gq0h4Aj)BwiQPqA)Gs^H4CJN9hdH2wyLNh^Gb=Vk zf?WGch5H~IX)4}~?mE-=1-;Poc7zk`x77COBy?78ktRsjPP#;)VxGrr(B4O3?jV({ z?Gc7Pi?B;V@9;}6qgPGz?t&Fn=dyzz)f?=H4a2icoxX17sCq1jK-)AovOAagWdVh~**H!ylL z7~Z=PyZ|0SgRzo1w3LfdNN4AI6SC@CU&)7#b|N$L8i^+(>c`XZeu=3 zELFKz4f1|r**tpjRZ1V)JTFSZ73NAN`zoQPy_@HtzUx-60NI{Pb2p){CDnaFB0{zE z2FMgMO_d;jx&7Wtkk+1m{TpVNlcz=8U_ZNGQF0*HYUMWzvs@0n6l6zFSYr>8N$&G@ zfkgCE^$7HV=J=B!BYNo1Rdm^h&N7gWTJpRJxMt&-iRjV7=$RmS zSYeMT$WHOyvL2oIe2p8(Y@B1f5B(A|?HEXOejT3)(z93pEkP^Jf35}ja?$1wAZ71V zK8!k)=qG5z!@;*8b9mbOevnU!td$IfxoPk2kRYE$Wf_1}LF$Q> zAh%a2Vl!Ir;N=IBZG{^Tf$Zg}=BcR2o;kT7F}a?6h`uwDYDE{t|NIW}qkG?r?t}TN zR(0|qf8g?6U65Np=873ed3hu|pbhsUyg>5ebni&C{Gj70kU06-JR4+2EHSu`S>>E^ zGsyoG8Pf&QJDi3_gn==|A0~mEGg+^R#_TJl(BZ}_HX!@L_@p~X3Z04!L$wFIlR(DK z#_2LhJiEH$F6Nu#4C_Ij_fq)?(hd*C{6-gP4Uc1BPv4l1Y3R4N_4Cn|Wt=5Qj?K8b z9b|{aPwmAVy5>NaU67PDeA;Hr)o986hj5g7o$l!#0rLV5&NZnLjaBYCp_t93ECi zCpvsI1UcKnhE*VWYEl^uvakHE?Ln36PsMB?Ytn@WJaK z?M(ZYqauZyU!XEmSAPX5kKnmN5in1>UTrc+sLUOw4U+S%n|5M8ed8X3-kfy(ILK_; zbvg^=%N|FSg7hmrzXmk+5d8_Hesrw<12W^*%#(?PxqGjuPY3B)LgP(9-qQ8YI*`3n z*|`H`G}WI6gT(2G`$s`a^4;|ekPo5G6oGViYVaW24p@N|J?!-IfBam-XRG)@(C5fnMUegZ*;pUs_pj722Pw(RGEN|ILX7YMx#u2V4r0Du-h3LQ zO;js#Kt4SBMg_5=D#I+M8}rNkB7$|g7d9Zpc-m^(Rm(7{1INa7NmB%n{30p>)wn&kkwG0bOhwzg^fH9l4-BM z=7XH0$;)a~{>%d&Bwh{W_JM4N6)O<~=jg&%C6HE=4VnWoX(8KJfJ9Eix=m=H{z6}n z95^{M8ssIvPdW>-&n<**f{a66cO^*7nDFW)$PM~D{D%EUwYNkLgQs=R$$^wt{E=B8 zvGi-uQjn2bv%?_7Yb>NCg= zEqO%5f{B;&CW3_jsPi*HCY_EmMXAcY>#?t)?&1d04x!fjKyv7v=`oO+HD4L3x+a^4vAnip>Y(h6z8&LBVGk4q40 zXS+TQ`w}J81&|Y!*DgfY`c8QQlEN=U-hr&}+@5~a^5|>HI6U89MWSPE3JgHLs_4Q> zkXDd6x*1jX3GoA|_s?Aqft<0fO)9!Peo-#gZNF+i1ljFt! zb$=rd(tK391ISdRjWfIK}I*j?G(rfN!n(Etcv^M`yjvgkxnya=jrlYAQKfO zHu5OUyZYhBB#@~!<26BcF#RzF($6Js+n}qqWw?W!|Gk7Tkg}h?F9~xk<9-<=3O?B0 zML(J?sRwE2)L9=fuN7AK4N?)?MvYH^EL_q%4dlNoznu?KJNVn%LFT;a#l4vM)WmpH z>Ce7&klXCE^EP^}WW!UCd@sMW4diD8>keY}Zc&g*gj_IBTm>ag^%;W9h`(=Ffz+B! zPic^A&oA18^-l_yVnBXg$gwocjSXS9u>acF;}J;dr`Wv)>H40fKR}+h(;IaR&lgUe z3KA<7C1#`F{QH-IDvz5t2a zf%acfk6JUKB)DFz(d@|}HF!c%8|1EcODqPN2Acs}kYAeDwiD~bm>LH248M}&Ae&mB znT2_i*6~u1j!oR(fOU}`&rcv_Xy@<;>%VfA$sC7$_e$$e2dV4+N+uu|^i0wU`#Bx!|VNFkPvxR%Ysyz&fPqaH;&7y0?FpC6K^p4 zuZieIALn|BC&Qe=(T<8BztO{7A9H@)9CMJkq^ax#a>9vHJ|LO>{pUgS!paY)K}O_8 zT@IQnU0Q+lYi?IsKwhRMxf|=1vm%90!aUs*-cvwIx7$$%WIEQaSc2I$&%h3|!x$A$ zbkeRd;UIsgVdwRlTG>GwxZjZFdl2M(x#g60lOew=LH2dyriJXD!zwXPH1BqnE)3ZSCeO}a3kUyv3 zXOCVEp?87Q@5a>;Aboeiypx!#&!}GmIo1Ag_dxcOSry`lGsDesL_W#K_KbAY-=1yrCwZn z0ds@s{6df}^VE0(a!Vh`yaSmq4PpQ!eB!=Hros84j%E@hjLju}F2(7qCddolZJ|KcTk(MnNKFsSbw}5{NectXyQZ;8Aiwui z;AO055Zmvf@>|x`gT%2ilaC-fT4m;Mkc$eRH2yqT^l799$V4pZo{w25{iP+y&zF3- z9dqfH_RF)mv5t zWO8bRj6iPK=-VogeUO~hkHQ2!agqsB(LV4O9Kf)KJFIQKl$x_1k#5acf1Cf z_662IK(_vb>8Nz5?;X&b3UbYxCeH?`CxybxK{9B{_l+R`ifQ!*nWmOU2QZr~&QC$V zoj-pa%@B$&2U$nw;1`%DRJeQvsb}izg)(5yq9fE~kT>tp(gx{K=2I4fT-bGy4QQ-* z&rXmP+x?os{?pp3;~>v#7G#0smSY!6K}x$fz5yi6)`oln*{VF(KiEGr$wuZP^t}QW zO-GkDYny*BeWV2)Rn&Ki(+(v;r{k|z&{1%U8(V?PdKU4Jdlf{btG<2n zNx9t_Z$PTLIiVNxc>R6inb04X~PqR223< z@V%!&_WPo@IaptD=1B!ej}b0v!Mf7+i`{5QX`=9Ds4v$Dn*vgq`*-Sq9QSU+5|Bt( zxzrBp*RJS#f^_xhsp05nPw`}|OFiqm0`j`L?>LaLO?cXfIkcy!6Qt{I9h;B^{+-Co z0EzZckA)z=soBmNWR_EAu2>H_rx%L(*YMOtkn7wgaS2tc=r0EOETy&@%&Ae&-h<5R zkHteE*<_hH_6pRuT}e^{$;+en&jaaio}Oz#cHT4lZD^$KvOtilO_+TIGxDwSM5> z3vvb1mq&w)ON9PekT~#J=_bg2T|N2%X6d}am)L(W_Wd`IH{4w-at-R6UfhubDfu~B zvp^ai)7jDF$MXK_~i9y!1o9@kdUzU-iM~%ay*81 zDy+yv9|suR0r~AOleWFmvaHk?ga>q2EkHi% z@JVNo4*n1sg#A}*cgKNbOpen9>_Qc~ssvI>gXULd(RC?yhYe0%T|NZeZD zn~kozy7@jx1&Xb125Bd^xn1Z`t=h<&ptklnS&*3=|63E}iU&SXXs=b14alD^zUK~- z@l&sdfplcp=_HT|ej9ZeOoPYeE`5>|Hd#5Ex zMp-}K4)Te4_xFO7tzu3*_H%;Hq=QV^%jnyf4=>&G6r?-h4Vci8Bi9asT&=sY)Gg4c za+(S%IZMU}WHb~0t^(=gFP~|2w@vdNtS1+g$DraeH`35g!DnxQ#H81U9)bMNW&W>0 z+VA|rtSkRYsH96$$(DpFA6 zsW-2K{JyZ%apBs8r7WE(yl{seO2iv$0F)TeZ3nF7dSW7bUv z$r3jc6OesfH^T~~))-830g1cGBSTQVp|3}=e$nw|21rjWeNY6lCzNkJ1G#aLY&-Vj zKg9k7i3*FLF@;b+dS$yR$W~3TnhVmF0SniFj7t5?t?1STvH>75@1#&H<_AOFEXYea zzsdvY&eDffAQh&P_Xd4@_*^e~z2k`ZZRiv0_9}wx+1wraAQ?5*+8ktF2bwye;V(6P z(CG^&M}c$=D|`msEA%}FWM6r-R)9p~!$&P3cR(}08>GG_ofj^Gc^3xarl9H8!8#x< zbH`-~$UIeAZwC@h!IUS+t$ME&j(sWfDamNm4UwxLn=IACVSlst>qZcM(OT7sx!<7R zFGyFMyfC2{JTV+U17zJcg)9WQ=pt8ZkeH-qwO{z5_2{b%|h*pE-nSReN&IwgY+dPY!_PBwlf0#yUgw+_S2AN$xB^Dt6xG~ciZ8JR{ zgdRP!KMv&j{(4?OW!xPKLFz%}vL_&`KU4o5x*a}q7S8Db8UIXD z>>kV&87-xNzH$Aj3-TKE@6FH>!#W3$PCa(l3*@?fXGNliwj`fITdO0oLH6Nv@B8S^ zSjT2m`kQ$dNEBKdjJyxm*;1e^i%Q9l(E|D6eM1yTd%XK#gDNencL%wK%cWr;wRpnS zB=lFn$;%))vN7^5$oiY^t_K;T3r-(F!i-q?8|B;$$CrcAPgOKPUTogj1t6_>V%QSo zzWnUi4pM&34SO*slyUKxUDU6ogJfU)soNksrR%^`kmq4&|WEa`3pc`M~to#=|NhkrpXyYtqB#~^KSZU(yP z+L485_2j+QAR8IF!xbd^KU#%?#GhrRi6C?LismKMNOp1w$o~o!u0_YRe0z_^nY9jq z+{Ua&W1qm@nq%|TK<=0C`FWV->*Cge>?M=nZ6LY-yh|X+TqM>XL5)4A^B^H#t5ty6 zeAbl5Am5fE@)oWB`@IjOJa)d8cnV&4RHX!Ri8=*yK-M_r!U~WK8jRnBdOL;qf{fB5 z*JyORhRs=!aE@Jc6XfLvwI6`AtF7ECRPCPVcaYQ4_#yHPG>UyA2U2F=t7n0vjcwsl z)TKDx9t|NAc7a6FfzSvvyVLC?T4iB-4dg%GT6_=X$XU-(oiO zJ<6jHeUWPS1mwO+n7sq3_1<~|Xi?+T(RHw=%6tiB^a$H;0FuKZZ7V@y=gw!FK}Msh z*blWb%sd3rRi~3uK|XGX$wkX{cs>NFMUU-U(V)4@dO&V@@@%nsnEUjXq5?>cag)>o zDf?lEE|B|0FCWwpv18Lt`cazXP zaaor^>ch~9yXXZvq8`0g>h%%i)U_OcgQUS>^YM)^_t&>M8Xytsq`Ux4Dv?@;PMI;Z z9b`Voeb@`~;$Q3HK|0x?G##XNb60MI+?r`8pJLXIjcfziF+JXcAbEL{lT;Jfa%Y7K zNR+D@8lgLms;owB`p0Ym>7zEodr;$h9Wkih^oBH$@{8hbf#fvqzz=lhG@nt=VZLtc zrl}y)J-Bij38FPaji2?viceb&$GWQdW*8&&YlO zk|PhLd<9wc?t?(DmHuKOm7ZEn4OU*cR(I9c}+fn}AG+{TeHf53ii( zf;MVR3jw)3vEvia$e({QK=^~f&qZi->GNkGo2pgb4w55}<@^MRn>}a7w1Bmn52=F8 z!O}f*K{`uo>l%=kJGOQ!=H?#b0FV-xfE_rJA~0P#wdTZjfj^Qz`rk=FgGHor2DEPtyVE7d3~MfIPJ@&<g)+}S0vYk zgVc5(lVsGRZpKxRd}}(X4DCuA*@WH@?d}8_9lw`<(Zvl9CbWWM=iizE@=2NOLUhO2 zBi0}{-#^F|q-0vRhhpwpVwH$iWi7k}vRUIaOF;5SplmJ3O#dMC0d-jRZ3raHuDu%j z8utDu_ec%oRf6;8q17MHtp%wvi@0s5aL(R9G;gZQ5s=J{v_6miX*VqZ*#axA#~^d( z_T;x{B`MO6)ANt8K0F!$l75DvC((klZr4B}SJL(#y3Awob2On|=L<+5UnD=`EvS25Y!VtN-a8ZI zjt20iAT_7?@p^RGvfFMTnQ<*+AG&T#;xUlj8L}@EBcaKxuk(?BlBvd;g!zv3Bo3 z{=?AH0W^54-sm>a@%~h0kh`iUVThWa>R*Y@9(uPKWMf>P`JuCFiVvYGdYP#p6P}io zi|UH)e~2dU@oWX@q$c|wbmhWjV(qZk?W?mD&{8QSJ#^n5$z^C?+kgW|3Y)ciq19Jw zBGKa$?wkUNEg_e)(T>jJ_t7G&@Me&2&fV38?oin{@;&UiC}z1V>i$_@3nd)LMQD53 zXj_nFbbq>|w-VlmfeibzHVHLzy?Ytm|0wG&>aUkv57Me^#7ES1g!gZd+V18!{sSoA zY_5U2&NEm5l4_aC>rid!F+0$R-9vjpVmbdI9GOLES<=T?hH#&yD4%+M0VW(1Ur|UqSAi+G(Lr;QE76lhM+zzS# z05T7B=6RqClhya5BYuuMfzEOLlLgYbHJzns*zD&GAXR+s{wH*aM9v>{vd0;jPSEjX z^mLHyTC&FkHOk#$1ro9o*SerLLXAUE;jU>3Apd2p%tbUFetd&=PW$o<XI0U4vt#C>qfYy;0h!Uiw{AtlJS+lG)5iI+AU$&7^mFKgixcwE zqhm)@gOp=n*Bg}Yc+rdgT2U$f1@^7Ec~cS1luy$~!y^xygT$oX04J2Pb@oADR9HrV ze5sDf8MNo1uCynxC!KA52yR0g~Laq(cn#?XF;z2f!j?~ zbFS?J^xC<_uRu0fc-D9Hwx7J{ci403YcYAWZh7x4bn6X%DN0RvVh_?sB5&_PHNIv< zpkvl0o&+i9vVGT3G0mO#(19Zxo`a0~VJ9<=!LvLH$`yvLGLPYK0bBDP*_^ow!TI z7UXs`kJ*V9FCGpvIgD#?rS^9zg_n7 zCwi~&!I)oQx9TlbkaLe_=c4O}V%MODw+C$n*@~L&0U!bYxY2&4C^g6TpE;&J|K!Sd z|FcF;AYtJxs7H7Sl-wnd_WUQSyz`%gm)k$#wFmymH1GH)ea%^*?zVsOMOy^fhyEvV z!|9*QO$UL68w852|0h>xDahN_{*&0bOdzpPpog}=>GA>toJ%edC~i zQpEyE#l3=aO9T>+1(KS<|LXi%fz*hQf0^DWkQ*8LFSGIj>0<)91N;8f38657>H@h< z0?DfX>&lGa|zq>bKzY$2$q6^Z)-m2M8pV3qJpB%m25F!~eIFtl)N|MgQ0G z|J%1xaJ!SE1k$(vzn{z#$Oj4TKWvxaenrR&TIf?w`D>K&nS@za~EZ zue!&-+lO)5DX_}zpH%M-ffof|KTNOS>xqin_OH${TLtI;&;rM8`X|9S2=ulS)GciV zZnPHo`2Vj{>9vA$1}g+wn+eoeAkbA$V2+5uha#nTede5_$O6kCs2IjKj|5Q?^j&lmVcQ%_#apA8D>SXy>FKhM8r`*0Yw@G$uQ*1 z6gk5tXJ~SUA!jTQ71X0+I-;U92E;rn3MMEs=D~=$#Q{K1@HGL3=yZ)30Drl8^lm zG>xglIm2N3IkW|HgJ14XFnyRhUU21n?B^^9EW8&U|8Kvb<64UXi`&7t#Nwa}`a!d7 zNzgulxnq|GZQq53BbEi7^9(FJae2^g6fD>QGtE{6d(nDmTCEH^Ed}$RfjOUx!!HT# z+fR3aIm^*W6SS!a*UyK!Yhl6nu;gZ#|1pfdgSmge!<|=!^R8V0OAd#}pDh~fW+hBl z!CeKg1T_1(AI@XH&|2> z#t$$q>0)S0!JM^>qi+j~KVsa|pP6U3gZcLhVe~I?;m?BkcM~^7ZxcuUQ{u`lhRHp| zoj(T_Ur2oVCd94X&3?d+Bd+6*r-gBiW)lDLYvh9|B2WBh6GFRvfjmn8h|zD133Ts_ zMwcFm9zQJ5oHH1m_M?3W`D=RhpuM0oyrC`Z+7b?J1kID}LVZ|YEidr>=J1CO@SU!( zde1<2Lw{Ir5cYeAqW6!4eoUaPuln}lSo|KQ?%DMdg7zCG!kN@dS7{2m0W{61tL9tP z*Iw*1%umq$hkZqQ4*QDuj5*#a-Z?-x?hb)yj|mBHBK)uZe}v{S1_J#ig^6HMgNP(^i&u(6dz$;d;`tXx6GTl zMe}zx^XV^w$x`Oo|EBrRgK@6dm-tAZP~1!sHxpM;8EEIv3jMKHDgJI^{kJWMS9b#Y zWB;$#|KY^BEyucV=Rn^=d9alHFr!9=^O|3W!#BkeL(wY+!_LaPrTx&Adc*U2!3R6T z6FR}Q&0$&t7M{K{S-By8act<#edg12v4%)s)J+XK73)*)bh<)79K+|ei zpxZqH`{Yr9=?yXMGsmJ&8&CU%)VcI1jLu+xkj{X~>(I@hPTI*+!*TJ`)X#Jl`vw2J zSPY}ms<)R@f6Za&>dX$uNB6OR@*Dj88S{f*bQ&}jp*sr}J_+MxvTqVkf;nBGtp$_HFm4N72bg(9*INk- zpM!Re?5&{rn)@wW0R0A-nE{i}86SH;Odf-285q6JI3{msoy&vKSjIoOjrA_c)%+}C z-fRWU--XPlAIJQ^bfQTWN5#)5B#?q?aRpvb50)ii7nt6&EbK%aBT!< zoCD3~9U<>(R?Z9bEn%ZP_>uDUx-RHbyTUHyx9gfgA65RB8i4*}V4$lt7}gj9ucL0b zDZ|i}M+Ta5sxwu^u48EbZZz$U#|GN&&=ide+Ba6+nmhr$ly%$eL%W`nIj+9AU+Z_B zY4~5l`fc)N1nu6P8EF1XJ$2<~2Yvh>76PMpVD|Nw8%%w6{b976x^1e>=R7;1ZLk1+ z{zA^T9s2Hzf{ssO{fOE?KV(U;+i@`M%Q}>vt99x-u6tzlFsJ_BuK7tWVo8^*(>>qFlPCdcqkbI`UTjP_wqilDm>#(Savm;OXr z*ON=pX$#p)sK45enEKp@dqDSlHcTrq4*nL#$8HwCXWWiIij9aV!Zu2v6I-H z`LM4rPw`nWxq^Zg+74)V@)R327Vezp~#ZqM;AHG(bbLh~~F>Q2>n zhP*GT3O{Kb=xSPY>CUh!b;jJ$GiZB#23GC|YpGsU9vZaoIXuw)jdm?ZqL+;dG~bPZ zSH^+SQtG9vHvyfQNc%zkgJv|h(Y)2aJWO5Km|V?Bu1 zLU#l76Id@yH}PMXOw_tE4w~KKudpyTKlC@f4xQGJ{v2J@3GL@VQx_I5fjJvt(XZ0W zq4^rxBe1aioN%4OHn4ai%)c7u{D7a=J|e#a_Sj=Do+f?+b9B9;W3s;r{qywOS3t+> zr8kLPpgocCNlQa_I^&p@X1v`9#@n6G`kH*iyrfscsF~(z^^|a5vDV#qEb|*pXWmU4 z7?mJC(n{j)@!`1a`#Zjh*5As+Q(T?+vOg;B40QhxpSCgaX~zr;=P^wN!@CvF9}fuH z?aW{=-xp3L58RqA=y%0|&`s^Yaf6^)nTKD`Hn43gcyeR-eIxkb#qdZqm|q)SuKcW9 z2|cu2UdY?Re_6lHr|_HV*mKlgw@%AI*76j}7!W+E1J`f%e>q@D*sUoP>YTWbAuY$0tn< z+HQpAwQ029F&+Qx2AWS71;6MM=z1>>I%yB1H(>fN^uMdUuGZDT(7guZUg8ni zheCU$xE7`hVAKwpw$NQ5T~_=}{nGmzb`9F!3*$4@-kJMxoi)#uhK2iZrG~-=ikrRC zy@?xVWFIsz_?ctGpLw+#`eIjbO_fo?)abcs&r8LZQ8p7iAIv=?-x{b%ZxalNpw?}Po( zOrWnh0R2h-K-(AXw?Wfu5cc1oe+atswZ7+wKM%ogAlhuCuG&vze?<1#sCH(hTV{WjMQ4E;3c>;77E-{wWe z!&IftyLUBiBQ$OmdxYcMos746RQ0}#<$R@E!dt{yP0=kX!#`@mqypSk7TROP!_c$x z*pD@Y7l_xiLN8L>HBnrCr8>J*b#=RVs4xEa^$T8hi%Mum1`sH5gS>ZN6;b2tBm+PkoB_=E8H=kScv_gY78V*RiSpuYo}Q&~^^ThJV3 zU2*4WeJRiSVwyoe47wv)Z)(qGyl;p0A@M5K8}~Oft>y$j`wEP{fo9y?U{9Ju^CNWa z=V7nN`V;qo{$c25v;HJa7Y4s*9dyOgcP!%g|G?-*=$@5cEBz2m-+`tO+9k4Yl72>d z1dQj%eu(R(@9O%GOTPg97U?RY*2{RV`u`~OePH^v?(bbuuMeZ^84uqaM)NgJ7sFWZ z=lTa3*Yp(VpJV)!DbQb_c{_u7v~x7ye=8ogDsIk4yH3)36jx8PPqFJ1caw=@pRYW) zLGk<Y#y5LSyU8tk=cgqmkKOG!sz8{GG zr9b-R40>TdbQiI0AM_E`u_5@G>w06K+Y`1Df9ip*B+l!OuG0nX(7v^t^fy|^yNlP$ zUR`Y1p5r#>!EPPkEwb0tI=?}6d9VDYS^Q4ae&FIp=t=U+(Q#=m_WI4>O6gCUpzjw8 zb^Oo^vDd8zzmawqq0g@h{TZ-Y9hh4aZV*4a82!GEkE@{lKGvViN$4pRV9jzc`kU7m z{%8E+5<9~>wdNdHaFq5w7fFk?FP2|LI9Ti7;;QJ}((siC#=mo(w{={40`^_%M^5#; zaNQh@!vT%kNR8uXVnJj4UTFtscYt?j{(2}LW^2ATDqc=eoZX=~%*JUlFdXkTiT#M@ zaxN?P%IvPuah~ZvGWdmi;d1rc+1!dbAm;x^h7Fw$hWuOXU}#O?mM) zF&}!p9Us%-S36+Ypwga2W{r6UE^Z!MEfPs z-mh_MBEANX{|21-r~=(%;$G-`h@ScIPcRR@tLCG%^xw3bGsR(=zuG$PZSkauJO3BY z@$PYf=B)97=~FPS0;4==p2W|-J2v=5bI`sT+D$_z)6uq-xFQbzNfVgXfquj2V7E_< z4D=hItu;JobN3MJ0|%o&ls+~vXtw~`6Qn2i$38U!`}X3v+R%O11^am&pl>f){5rLP zS2l;&t6prVgw9pH`ld-qh>XH^lB*ucj+s z--l*4d23dax3)j|dHk9Foc|x_7f%e@E|?VP--5Qj;_V#8??2L=75Ck=kDCeY6VP3t z_5QHd`;zPf>>*L#^NLJ9*R2HI9GK3B(FbbZE&T}ljJOfB!^QWZ+pYG`VN`!^IDdQz zjAp~+6WIqsBfFm{`?=8T_;jTFI>W5?-O#ogbk)U6xqkYk`jH2d_RycJ_UbVHQun9* zlYa_=l|-7 zo2NQ-PN$&F^*ylPNIf$Psc+`|LA0+P9%z43-K;=8jb4j`J=sg$c3;9YcT%uNyC(;_ zAEpGFd#453PoXb21N*x$I(s(yE12GtA9Vg(uvp&%&*=LBMJ48i_P81>oCl-x<_CLp z2~1`#;Jh7S;UH)~g2gYx_ffNuVX zpxr@e{~ApDHfZw(&|X`4u%s_~4tZiKbwyvM{OQ@6<9}=dOIC*FG4k(doxHG)A8iav zwSyfyz}q^)oqYq{C;iZm41`^V!g<4J|3Lfj^3)6eF6*~197p@w@z81AUZHyPht}&A zlR4j_>4AO|bU#!7{J*M`y;(QRi!f@FkAH_boWCPXw7w;m&JFhH#Cd`7PVwgXL8mPi zaNI9wGZF2dhPK5*{Pu`n!YE!8?9n|iExS1AB>TO!2@y@yqnb{{Yht+;99e<6x_y(+APX z02qyD{LK0C)B8|qImS78jqy)+X+E?Mimzv$(vzUAt$7=z`Fwa*7zh6-Gepy2(}7y7%jpa6Yr2xbnXeXQmR`Z6p5dHL`y}T$)p4pNn>)-A(+O z4bWdtTxY+x=YC_K>ROAPiGTN;*3mIqKflbrPcxkU>GL$xd=R?Tz(Ds%2K{Fb_)HhL zr41~pylqnzZC)a;KdH4dicYSwwM<&qj7zn=_6zJbm-I+Hg==fynReIaF zpp!Y&xoG!9j&qYa?%t_zh1Sh)VcKCf$6cB)|2ctCkGc4N09}{)K^Jvc5LoafbTt>D z`z{X5%vypjhRLC&K^I@KEYKZT5m@-zN_6#00$W_{uup=~JJ6rGD%jW0hg*JwyZ(jI zeXB$Jl)W%1eQD5c7~FCX%>NOt|5)uE*95;^-QoJ%puHM)`xp+r__E;FEe9U9aBWMN z+ZDzmpj!rqE{9uI!abwm`sd){nXtuhShE4#RR`vr4A=faKjQ0Pq52m!lzxr-$yo&} zG=ft~=sv$>TuOcd_jiZ+=ff!vGmeM*!TlAWdy(-kIRVDMFi%AbVfrxhm;W{M8J#T_ zE)U}s?Pk7iC;N-y3dCdPZQ?Zh zJCgj{h+qHHtZ@ACXHUW|(*tdGztCCvFk1V}QRDI3KQ=Hb7YF)ndD2!&}B!!MlpW7q0OkCm6{mr z{+~&-U#|N3j_PSm>ag8IUG_Qo!7qIrCfCp5IQ>q_44D^n^eHqi%@5ihg8uY{_)mw) zMXaOlNv)@ISeMKbTBpV=3I4t}>zerr`V*D~d-65(9hP(6i7;}|Z&<C2Mjz4|ifAeW) zO4o$RTU^IPakBp~e(57HstMhC#yM^R z(`lNAGc*s5`7+C4^!+_kY5bfq`|8N?#pAnz-G;t$w>so2Q&_R5ZxHes&Ei;*UI1jqp$OpGzLa_S= zVoUPHel<4OUBejuXH1}Zel)B(65fb*-wwua#z6Q_hW7pBt(o2xJ;}lcTfr6;p!=Bj z=MOa88S;N`JNRd3xVn3wZ`BWdEp^4U7=qqBBGAr&NmtdSMdN}!IXEHEJvA{f+C)9G z`=TE#HtTzCnjhNpv%j~~>$F6#cMD&cAKKIZE(kQesKe&mML|dBEeV^uL?S|AMUEhx>UFmx-yrB z_O+wou6@uSgj?pW3GKNr!##Uo)cvwxuc>vpnhfw>!qkMs!fV*Vh0>xeVIn7Ff_YCkX>7WP(r z&Ldun-jw9?g@>!d^kjJQMR}nv%xVs6b%w=VV9No4ZU^

=_YsbP9FU?}YJ>s=LonpH1cY!Ozd9zDKd@{xa5S-*s_lPb+BMxPx^h9=t5rZ7tTF z_&#Wkus)e`mxOlnH%unEpmT18`Dd*P+T8}@7oa_7HODo9xo?VlWzSq1+6xznM`4=mimjrDpP`Axfs^9;io~KVP5AD7O_1;}b{V%*4=A3a!Xt)20eO=Je z(=hjMnA3Mvuovj}=h5fr_^j2zzPJI*IUVjQ12f}cIv7q_4T~RA`x%#V-m_rQiO}Z4 zEdya@nm7@bd>nSW9oBpg7T*MO^}a%dYvlJFobnJfPrxlt!(9vD9v#1H1$ymlxVVeh z8QO|4vyb~&TphjZ65VG;_tz1odVRm;MaIodghda*p*3L1PZ{rBFTxhL!II6OJqfyJ zna{$R&>v==lj~sN8_a)BDOfm{xX9T_ycFCG^A{}+gWe8t)G#9gKWJpMj! z@Q?I4gMXE{Ef@!j-cmfD4da8vx!*_J`%UoppYMe8B>CD0+{8X0-OqkG((n7zFUc!c z1E#&mx8#ZO;doPh9Naew-a)>aH6w$zj}H%YEtTI#`=f8}1260xXePCVwlN%e0jya* zFVv4?&0wTDbEFG;ao<3YZ7n`j?p)+Kqni=i5*}-639I zxnt8qyZ>copzTT>j+;}TkN?gl*du)oZJ(YSw7YCxU|NTLh%JIXe*x#&3!}OVgN}cN zzRsec%|aOEEv9`u^b3~+o%{i#_o1J-G}!%im_EOZ^LVii>!I5U&3n*40pkHHf`3{W zn#0(W@@V%9+SW$LzoH|Z&km7)2F4ddcLmo^XTbP<`WJ77(Y?^F)O~bm!6Hm5?@4EooZ z@8kc$7sku#b$z-Fopy(2I&tE)ew&wAx6O0JQTBJE{$$xl$i5x=RnY7s{_G6a`TvW@ zUW&`-pwsuKT!G?tJ2a<5|A*pw4z#(GiI;DPfA^#Kpz`7O3EW>RarU^N-6P5$eNN_{ z9TV*4w2`p(aG3p^t;`^f>)8*E&d|Q4JIwC)-_Ap?ZUNobyl-I6+8Ofyg(mRLmatxz zK=(uUKtG@#_R|LiX7>|z!cgq5j>4}>O#58bt?#L0=~)x8SDqXgZ>Qe*C#D9SjHf>O zKW7H*|2sRdNT1WDW#$I$Cc}cS=LH>an2-I21%dVj>UjR>MM0a37Sn#llECyQXy&nA zqmJKH>?OO(&q-r9V>$_tbIvf?w`58QLws?c7n_qCH9=oZ>9Y}b03 z|0L^Wi=%LHO|7ewVT)o|;SgNgZ%sI_eHa#f28*N1f_=(tSm9=vc@ai>|6$M1=z=bn z2Y)jX<_wg+2fDRz@iN&*!0qE;W&vz*i1Xzig|V)ayo@e60uH?n?wJ9%=fQ4eVOkyT zI$QQ%xvxEUL31-KTm{p$@bEgA-vmzC!#EY)2dCT%w>$v%^iz8T?Kg~jbTcfe{ml9i z=;UNr_#yLG@ zeC;6L`~dbVHbWk!|7E{o{zIOoCzH4FbCbexNvnw*zjb_||2_^(mx+IJf03T2lq^TP z+Rz-}zKgcQ+`D0c6R#A{gN5~=`c|sZacvjT4Bc`p}Fdp3=w02D@`& zO&FgemX`gtF~r|S@sW|}J4OfE-$uY#_7Bje*)aU{do_F2(4b98XzNJdC2kxN+TFL% z=yzXol+ItkbzN&+r;hq@t&X$OebI4q`kORY|95i#b|o~`G%oGM28xT( z8rOR?-WMu9HW3GI0P|!=L-)1j?;7UQ&1JviUKvbW)E>zETkQ6`{@BYy_fg-V?XV1f zzxAfQeh=8L3--#L;L#4)TegMow1m}K!)cA+$Bkk8Ch+z8@J+RUR|~yFen;w|FSroa zJO@s>7)H9z7cJ2Lay|FH`n8pQngv}$yL(jkF`Czv_8InrwxsTR-vG|DRpT?0{O}$A z-@GvwDj!xsciE_Loc%)iaXs@D-_86*Wth+CBWT+*|Ly?skp2Fq`$+MTOWeet6IXTt zOtSGkQgPZ)b!sh)-(&xoe4%~l1nQc-hV?Mr4&64^$yCpaa3xh2r$WCU=6(VTYEnmS zMHuNhl$mbmg7d`zuqc7Wk3z5KFlBy6=g*!S#;YhFW=6n*-q8O?_9tbZ2Xh9)Ts@aC ze+$}cKkY6?XQsk}J7IoT=xRW-jeg{=gGINiU*%}e$iL_o?CBopeu9O1E=KPCXkU%v zivN+{QTg@Kb*sYUko?!9i*$eS4d{X*Xa}>d71n|I17UnAEO-u@Uty76M?`<9eLCx7 zdNs^_3C6u(epB&3uy7caW3>l+(*uDy1zT1(K?^6?;-oGj91hd=G2F|lNslN0vLCJ?k?iFaG^LE z=9~}X3fey|QJ%~vkFxv78a+2IYOQr|7j+~)5$%Vfjb5)tYqkGa4*h4;AOD!vn;p>Z=eTGC zI{F=*Jg4)vgXSw3y(#@SOm@&e---TbzgO&kSHFLjeLHl`RM*ajsos~5>uOvkinCyJ z6XWSui7&y}s{Rdzwhr@^E=K#UI?vnqr%%G@Fm#J$|3rTCWWNoaoFIE|`Wd}X|NT=i z?aKWn>lugm6phahnwKfi_SN`*pmm^_b-~nUop5)uez*nN*JYsnll9#EruF<0?c4NR zH~W;<^V77x-y{AykoE4W0jx{aq3O^sX!A~n_FAliZZg`m=!Ly@SNv{=u0|L1FP-5* z=xRuJ>&S66JHYPk@hfZxm$iWtwO;pch91`(Hqt&}Z!2^YwcpYZU9%A!D_yTCdZyO> zk&V$_`;UdXUXIRti_V+o;dhn#yIK9Os&TlU`}cJjCqD(cvi-wxwjtx_FJ#>92=Nc* z#onsMi|z*I!weTs(EL25ye^HlYt^1Wzf}51 z&F=Rtt6e+IDpzZbA7wdV>elvOC_1rf58uiVcu6mav{RR2t z^T;#z7j@0dR2~*8FAX%8^Sb5#o&!Bn`MtFhaotzkr~1%Vb>oE^w7+mM^m?97bXHz? zUwP;`@JKGqZ36GJuxoqxMMrpQ7g)6iyj6U*JNnaJ@XQR{BEH%uXm>5zCH-m748UGv zApBA+gytvO&FAuKF$lk#p}9w_uH$m0-`4Rz=sLId<9hGueD_P2S9|t(38&Ie^NH^B z-L4#0s~fzs6D-jI=4pJEwnX393O?2dZf^jKtH5ckq0#ee)|T5D=HX@==vp(c?mNxz zO7Zy)wBOPVp57In(ml{zulb)Zf7=oJkS=ht&f84aIf3(;pYv$XK96U6d-QeqnPXaa zinT7ir*-GB)~CtM@h`7*Xno}=SlRC_z=MLNEl?7h^FRm!_QZ8`qw7BEtOv(LvkUvXtmqTRg6 z??}eg*crwv`&{UyRnZl5W!LWKRfapXEEex6Yr{s(Qw_R#sE z8$~?2Ewb+rUs0TP>WTm5;skLXac%bMy!{lW$&eYdQ8VxRzEt(Z@kVIL(@AEA7UzfI{KPxn@534>8 zlzu|_)n55FL-TR6=HvG!j8}K%*CX0z_G*Z|n*3gDhTbOo{<`R=bo?siYe$`DzpgV+ z`TwP^|F-6Lv&QEG-N&11{||ICOV6n5#(^GM`Pvcrr{TrkHuao_3=EFQ7uF?4I(Y$n3p4_YPEUmitS|i4D zhQ{}gI_Mld$0hxNx|UNqFXW#;7Z#rl3skpC*Ok2nT(0$?zw-Y@i~WPn@SrmM~=)3yDn=*ke`~Nb3X#LBsi|Yo{9uLL;4RPHtY3P0%iLL=%yHOlhPdp@EHX6Sp zXmc;x^&f+MI(C0{jDDPUUuG=lD}~+P4&4*dL!kXxdZ+lH?Bk^W5U+*CiMK&_Nc~tY zoqZngCiVBQ?xW8L`d4;1+^TVSa0va}HwgPl(7oOtdm;M=_po$!pVL?KvbYP!ou&EP zq51nz>qmL*o2JYDV<-H3YJO*G{^yEkw5RU4k zbQ$&Ib+j8tyR&Lg{7iZU93Q2yVjy+8A0jC5rkzeM&)sxxIZ?=zTpm&*RM zc&pkURi2cTJ=XPKm;D^YMFsU^jjp>|JWJy;O!H7$`eJdX#XeJc zHqz}3AJqP?cm;F|Ilp@!?Z>12+wyx{*Z&o5+D)eaqoi+y z?gISmEK%QIbPuB4rLw;YP4g+?JgyDrGxwwYNN9&nrF|yMes9dSmR>xK_KMKvtM<-<;5%>bXDel)32B=LOoc#i7v5fc{t655Tzm0*>1W z%{CYp!)V~b&~CQExXB{)Xqaw*(Z|yIo@J8#Uxf*agMU5q2H#py6v z1LMa;JgO`~y(#_({XX$l*>6-GtD*OIs1FfXPtd1e#rjR&_o1m?p|LWgT+NrG z>v_+%7``=849r^y4iQhEQ8SVHZ0Dqo6~FUl+TgYxYn?I&(mo^RAXW4H4C z{UO}fT4-J#h<+TJKH{YVuzw)F56!=Qu#f8(XnyPq@7L>@nmy2OcY&vi+5bOU*&cg; z3wPzgwXNZI&EU``@ah)gg>cU~FjEPdk9mJ|J_dZ_oq1S^DWd=xV)af1)qE zw|Ahws2|LOZbJq=s(+xn0K54byE`my(sBEwyXw5pqK(n{o{^p-9ieSAowtqb19iPl z^w$qp`_-J+j?#6$rK!dG*53eLRS-y)u zy#w*?^t#9_P(Eaz@3U2Ta&#d6^#*f%OSHREc{f>kw?OU7WdBUMhIp>*RpmcY_8!uk z(dItcf0sU0JZmWZm^}#2Qa_%MzFm61`duu&2AWf)+xF)^?pD6P-k0nKJwW3)M*a9l?c3Ck{`A)+>dy-rm#@U#+^1`#{mlsKo%>SU zr+Ro+9Qy4?Q%6l6`x3tzyBmnzdg}4<=f`rNdOnnEPyO~Eiruu|*vfifPtf{sBXp-s zW8CUa543k^9eSI6qU}G6^WTr%ZA80vvx7aUl^^KmLAwvejpuOOI%u_@h(@zs`j#-& z?`r)8^Mb!S7n)@-)pO?K(dal5%fcl49IypwI}N(>^1Gbt*xtI{L-Z%Re>RVzlU%jm ztNz{x-Fw_m`Wj5CL+7}EmoHupO&N{P7LDH*;`fZNyNmJm$-8=d}%Aa zs6F<(I>7&0__6p!8}#P3u#MP9?Juc)ZYv$%4n~dO7rAh83;0+w_*rB4tm<)L4f)lC zYpO&03+uW$!29X(5%iV{J3~ERQw!Fv0l%pO-&OrTttI;2w(zbdu)XxVZGv{?wXRR^ zj9!N}^R-Tm?S_3CG}-^HD$V+4zUjkx-$T3Sd*DBz7kp9eRlDQ2jdoL6*Bj6idv~*8ab@H^BFzM*w+Z3}ci=@t#pqctuq&OsOI^9lbAeDdCnSN^w_E>L?v zw9)Hxd$W$eM(x?pA715puA-D|EtJ*bEeo{ z`TvT>wOv=nW0U6Lz7FUun!oiG(9wy|p1m{7_e#Zw{zuJKQJj6PxNq1s__=AsuWgtK z+OO#sXy^8)eL1w71_W(Z55|5P^i7ANbB71obD>)^0{;g_(f-|N^z1Q#zGobmJ`DYj z;>Y+!?Z$@oWS#7nL01ZUG)4Bq_`B`8&WY0dM{=DD=*RKT5zvjG+5P{!kCKBzyS9v)_U7Q_EFFu)p6HAvs>*Y#9Ohu^Ull>*tnWc=6JEXjAEPHwU-BlXb zh8oxG>+C_;-P@Xv1A`f_r_k%?DuIh^=bc5 z{)=m%4=JAaN9fG?FkklEtgeT>NOt!R>s5slc82^&&ZIp@`LZVmyFG|s&Y>N_uedDs z;)CdWa?x)$hS#=)sdUpO=<8&kr*(H{d+c-apuQL7o}ga32W+sr$@2djf455dL-9tP zr&b&M@5gQiwdK6mw}P|U!P2ttYmUBE{Td}^T4S%s_00*=+3)WhYe;)q9}dxdHW!P^ zVvkG9uS8xLx9s;7KC6!I)c}5{xcIC!`c}n7Z^cv7uGq^dE^m>3TzW`f+N)BpTp8lu zbWt8;zxOv<`LGt6QbRcId*#o~;xEutm)7UE?h*W5iJ=^~Tz((O?^5Z_I`4DhZ_3j) zYX3y~1@*I!*iHT4lGV!BSHwZe+lTvb{XFIGydLNWwNHAl8@jv3uUOn7eyn^f%)>87 zd{}&4^ANSA{r+57N_ja{x{>m5obvRD=5cKu{Hs-iM{C33jbMdZ@Eh5$R^BdGTx>s= z_Psj)v&#FIq)X{MSLuGbSp2)SgUdR@W~xhVG#+C#PIDOFY&|sP6c1VMVt!p~)mc3c z&Al)xoYxJej=NE;1MUN8PSX1D%mn;4OrjqX#g8Wk?XQ{wZ=Z@^&uM}7hUtN3`ApbE zylQsP>52J)+1I-^Zw`J}KsRS@(D5J8+%+#~TX}wL)Ts057YO=`it>D0mk}VEqR0X3LNb_~aFAP!Au z_7CQE=^EYv8R*S6^&;5pQeD;5Kvh}RPAnbQTm#2K#FfiDi>Xg&>q}?g~@c%SJ zdsAp0Ry}%_{i8Wu^|`z9?z-+A*G27bs(rcaZ_55#7yQaAk86rUI%2;;`TmUZ`_%T> zv)@zdrTTS&{7bc@ePJ`Wy(zq3>&!I`(XAT8-0Cnb2lFdKqk0wn%DSH%gI?=gRDNez z=jLAk_t%Dd>cP>C;D{#hyJqk|T9<#)I=!|f_M4i+?Ef{4k$-kSQCI$3TjRG)$6b$~ zyUk)BB){frzeU$8qvJ}pz;8@j*i4+*23a%q z^K;jqI_%0qyHD+Kx51`ZcJnS*q7l;4%yG4X*N3Cw_8j-a90jPXX}98zjxX9!>{O1`{~eZ z)xP3#<)D24|D@@- z(C=tGIz0l-dih@`KCa{Jc<#UAguwK3bn-JaOR(D>6KNj<-Q&;mJDZ%cag4y4Bx>u$KyX!nH(Eb7az!^cOcS8Htbo}0w9x;>lQ7~CKE9j^cG^1wI zuIK5wFVN;C7}dxR?FITBa;6SC=VVxz1APY=>393ds~qnP_Dn^Xj@J3B!ng`8faRLJ_0P}rZSAX(Qb~Q z(~Du0ecr}l=EHV^$x-Gjt%RRDS^oO}qU0Ug%?~hY%W?4~(Cm`d{~!6YIX<2yu2K6z z7+paB>{+@W1EcGu$3ycAv>$Vy=_?Jld|4|I6s8BlBi^z^GXB zm=DuZ%(LALO--277DfZq{-(~;S6avWjXKW)uICy+ZL{A3P+v;w_KPP>iuupA7x)BUeyWvgS`W@-_JE?X+8O8AnlJ2rhVHm z^e>~}Ue+sr7webbI5yaAG@kZ{#hWIeyH5=C7fwcxgubeneJ<};Q$l-oJ$4^X4cgV8 zj{VAMfqn+sKZ`ck%)qaV{PaIl_7mwFX}3S&?=I1K_Hlk+0&S~Ee?&jrS>h1&I}h5E zp_|Hm*vw1$f4=tbt9#*pZdbUz9sIBr z{89Vh#hTyvP`fbCcU0XO_@efOg&onWJHZcn!KSS5exA6U_1yeP{Fx)H%V{C;=_V>( zZy|ntx$)sVej)MgIw{_}!T3SeA@|<0FPJu_AITi` zXD76G$-asHyNc@HKJ4yGw7UqVJ)~pk`*Hrnz~~|DM%OhH)jzFg{tmRwrM@NgVWt7h z*#`?s%?bCJ^Sk_hLl-xj8|?8tFxCGy6%U<dIHsXzwu<>VL@m8B@^JCgI3(?VRRnc zReoov1Nn7fo7S*a9(>&fx;kB8exE>lW`=gv1+!#8(7x>;?3;%Ky0?eIp2KJ_$9m=S zc^%*%rhd2vTGz%>N0KL?*Ym#YUDTEMd+1*k+ry|F^(I-Ob#tn?54wXengos7&4XyW z33@%B&92gUPlIL?j8B5LDomcEpK&L&E01=csQ>qKU(s~5y&ooJP^&yx)Sx89p*JBQr&n6x*pVzOhxL3p9Tx|!)Oq7BYGCbi>Mn#+hG0+FjI0t zIDf%r7|*0$6t9GZpTnHDpvnF}=_u-kZ3+tq!=gW6q~~hptfUSk2Vrhyn7;`|8)4xx zwO*A#_d7n6p^*SVaU;BaxMpv+J zaCZ>L>D$D0@+Nd2YTu#fHTk*ds46sTVEP*Q5tq?^C0jqHD$lFI?DIg(mCCcS(A`ZP z^G%@X#s0{>4t@6jmkNi3c(&6AQxCU@cMS~MoH&T~{b*N%x@u?i3wF1-H@vF@{?B)U zw{?WGn!y{Iz)S=9Sbg|@)x1#eH`Iq)>%oF%@X-$NhEA|cS6IFmJTU`X!2kRHz{~xE z-F-QT_Q#e~BA+f0v+red5YwznAkGgI;WfOrG(ZuP&$<|6VW zz7m?NSbyUAFj`8!C7-~k^Q3To_sK-AGZos_*yC<6DaIb3F8^KVNdH%6N21e-wEOz< zFNsbg7`4T2uGaAtpt}e9we%}hKkZoRfw>kYBcUA%)3fn+eYrpP3-|5nz@(S>HFYAr zR`sF-j9P1)>a(t!Z?(SP36stE+0wFCkzZxT-JOTdKF`P;#h&VUM^?`lO2?^RdR|hb z=jb>d1dSLH? z`S-DI6wQX2Z7|Vu2z~82As(`?Khm37pYq>^?g8jKv7Qw_1x=&*;kdLs%*=$oF3cYb zo%R(u3EDgc?Oias9cK3-NfUIz5|}dq#;u|643k`#j)#$+GnpyR`kbr&9RELy&`-Y} z#%DltH}?_04vV%!+Y=@k+4UUfqFox7-(hYC80W&wsp9jDXWR?=Y0y=GIgMm*5A8DM zBY!FMw=!@4_kU;Kpp)}pI+ywOT{YiVLHiPn4Rl?khr(nXG=Fit)BCOIFtk}IUaz>i zLHmR!VBAFZhS2wtU2z!qM0>p-ZEr-|`=I%kxbP$oOH0`4Lk$pXoOa8m5 zyq>a;3=eT--=%K*e^tkqu&*%X`-gV(RtDbHH_%P#4S(qh|LP3CvVkU7?;HNv8r`oU zoE57|haB{0a_e*>9Z05zZ?vA}>A9#Mh zKz|kU>Yrdf^ik~PtPGwhSTrl8}cr$#(hNxpnF~S`8;_TA5%W+^R;xp)=|A5k?M7PqSy7V zIpb=UX=Kw`jgjAIN;J9smoNSGxzA=E~a}MQL9{^Ii?QUgWbs zUGY%{nj^%Gza8zqmwz|;4d6QN3-J{CVcXL$yPAIbyXm*fKKHx2?n}>UPfpgjEo3~C z2VmTd@i%)l51(j${${@H*U+tFzU_F{2dDQl<6Y?Di}Su1{!oqK$ZLu)e^Jl<< z=V9?3&`gBsm_@-a=?#nbV|Ufik^Hmod*l?;p2>klLtsI3SlAb)H_?xDHH;6y+{&=< zaqh?M5*xyN?Q06_qs>Jyvx@PFhr?X$J5oKLJDtw>7Cz3nr)Quu+Rqh?#2)R|ysd&} zxAqZjp{c<9nt!PS(Lrb%K&SWBkAL11#x3qc{QTeZPG2Ig)4!lyP8=qmYJXk}nm1Jc z^nHKZfcoh5d|@+OuWz(|+LeRD_3XNVfv#FVbY1etn4UqKZ#&aovIF{|7Vti;nx^~#qRG$+f}l^A;0qCSp3`%VpE+@-_tSExNi124z>>3l~g}pr~md7_5U*6&uhBB z`f7iYaj=hRJhJZxj9{GnlZ>1DopE%{G_IFx{6{b!=Fa}y=am`QQS(?16E zMf1M4I@*_qpG7-EoRn)E=yKbmU+oAxcfzW1If=+-xEmmobl)l?8zL~Yu8PF zk3oMI=ZQ;6w?!uvd{^%I|kri$7xgSI?$Ptx!BckU;uiS~b?lTzs9 zW_0%X@sXYfpOj@h{85d|G{(v6|0~RD#xZUUqiZ$3@4)0S=-a}0TO7vKcK87zW3vr(qB`H{->8i^R76Uafu$#_~`%Lqe;w%)pPlidNY{+BQpb| z&9efN%c;|u(bVsBAuN7)PH1;csQU#+U~)CsH})&}v;Y zDeGYT%;IqV;vZmcmnHOPE%ddQ2Az8kEItg~p=H6IpSwKJ*M@64%KG6ynuLB1ntH51cDUB5W8%{3!Oy%l0}h)RXvfSB zjC<$9(a_x{y>3phM~7kd_xtXzxxt=Pnjh%(+?;4MI=UOC7cB_wX7obN^8q}*-wZm| z_w?;_bo4w-&R-nb-6b$Bfbllj=Pe2Cegkv|VOnk}*XauVKKV^XCmW%g57WzJKPr9) zqZ^^SR`zG0(f^R!%hB;e&^`j)FqoVGQ}r*}qJF*)?IGRIr!cAr6C-d?s?+x5O_B(Dq@nxPEOMCXY zJsU>_?e-3Ze+-7Z`s25%H@sJIKDssf!iLb6fZfjD8S>)G=CEStz-R^QOEi;pEpDMa zeV_Hkp2RvDRn~ek4!YM_w{1JE?}Ny9KLV!9rT<`k$$k$sxl#3E1ogw!&!<1{p`#Ae znYb@3JO}z5Sfu*nKluN+y6-S4iZ#%~rGTQM4v31m1yoR!AqY#5E%K6wyyS+BReYIlmAV9pIG03iREQ(xqS|!Z=zp1 z&y}Zdz<7Nbx3-|#juCmTUqYT!9bQ4d?46J4FU5xR-}VU%@1vg&`z&_v6Or*O+%55e zC9YgOzSOCo!1$PD#J^#%)wnq8c5Kmfxr@y{aX;pMgx(jZ&tKuztGEEutuQBs#qylZ zFhN|oR@R#>%gfOA#wIH;F&xv)FiW1x8T`ciM)zQod-2#_*`JrNB7xO?F!x$aHIVo< zK4)w*Msu)6oC`ntiLdH|+q>W=S7EYFw(A!bUxO$1z=MpJCWyJ%G#riTu{cut zr5mKb%G?L%<$PX$RgqI)#5iaYjDyF|A7}aVjDx|*xQl(c--|7q<6^Hl{izvN>SDVW zz3ueBc4QgbIgH_j^LX74sP@cvaqt=XFO|F4Oj+m*Ka_D{j>Mm${&JC9ZVxYZs{e?; zqwTPi<=-!H`g@4|-_Xoo=E}W(7@llgoal^^0pcc%|AysT(k4IaK z{sIguF!C_QR><<{nA{?6#po=IJb1c$ zn8af>Op@+{@T?tZf_yaRj&fK-29vQqQ1u` zo+j<&x=}7xSC7DV`{1qJ@Yp4|>fHUVJ>J^QX%fAhdf0G0Z!8X-fN9?ujAZ;)m(Wjm zX~ykfsf^Rt%Q!6Kuc|}8lll@P4NKV0&{Ai-G2@`V6=NULpZP_Md&ln&>(&cL%y*_v zD0fC*L_2$di-Uuhl;`H!rxvna!6IjRE2f&!??!uLs^b#Yn~g~y&4{J0Tzy9zUqKw* zgz1@Rwqs(W^!qg!?8fR*j1NuvqCW()4q$PJv4611KCJu|bGtI`99xWL38t>cZI$Rh zffc`CaZAR(+BT>=Vl0l^&c&(%Ox=RH`!V<)BlpVk6jq0L>{kp1hvHEk8 z%ke!n22D1`L+UM+qF%!}XsgMCz{AAtU{Tl zebE%BmGe5(hvQvrHs(5&{9mLV8$!7}C&hH^&ho9Tv7{xcy4kKD@vg-QGOoAFAuf+$ z*+{3kk^afZeezUvBIQjdJM{*>pV;C87u!3EoN5x|yS|(LP<<=o`@b3A?WOdaY7YHq zSVh0;-%-NrcZgrp|C(Fovi(2N^qc2muU5Q`eq29L&U#B1IQ`$yEM4g0VDutq_yq>z z7Q0wYWgH0xE_JclfBI9vX#!3Ho$`gH7xb5lz z7;eHy672yr16I2AqPdtf7*Arb6Jvi%JY#BhWIj! zUx?{bF(#VRWclf`ycOy?n0k@zB|k=MF|rfGyV2W#s8ND^N{+qbPpBTG}@~mN)XoJx%7@LjdMOd7VHH#&F9QB>JEl-wD!Q>V!m+c=LBg^Y! zMBcAT_RC);`?mnAZoqU8Of;Ivlb)!sPE)d^xq*b zbY1jrBwzGF^2l3+(Gv12b`N=Hv&7q(r-q}*&tRbB>2>67`b_fKJ4k-V8=>kf`F|4a zAvKxy5#LRFNgbyBsNJ(&-h^@;tX(*rJQ_*+3zilWKS}%a`{uhih)t&a+euDaHk5b{ z?OqL_A5g_zUAa1T8CtpjLgs!7nd=2Vkn#VfA=$1Ud1pA@n2R;zop$bI;(=&e=Mnpb zPIX5y>osKDw}+&^OH2RPpZ?H%%eZfEn8WLX5@#4Ibq41$&g%f}jxx$OGT!^E=y!ej zeb#O-cgwwI3)s$?(of6p#s1&K-kwEnxtg-rsdtO@mlFR;zprj2ws)bqlkwjR(f%&+ zFymeqOu>|VpI3#%_SEHWdE^ZAyNaiyx)_5^Xg6czY4q>HWEIAbN%={PZ|NV1y?(^; z6==4Ix1fI?CS-h!K1-b3f$`mFK1Ou}y)RL}kMXB5bq^+g!nBOPNkeQt5Er2*>zfkd za6Bd>XwQ=MzToqyo8@zTjPWA$&%@{ej&F1`Mk+Aqg7zz^pZBT1Kz^U`zo35g0qQ*% zfocVL5wsvr%$MYm&OBe_Y4R<2LFSul$wxDW{8YD*w`Lf5?2jX_gVV@!Q-}GlZcKZy z3uq^%9qq=nq#fB|lU=@;u@jss^FNea=ciKrD4*9AD;nY8EB3p2eRX%N%yHW3F|0R| z^2uX~Qxk}*=|}uW@`z6=#QS9)@aj|-d*4dGB-f|f6*FCVFqQr*Q9!>IsidDXar(W) zHq-;?57YhWAHDkYn~B>n-h=)$3^09Zx!b;#>pSDKiT!V+JcoWc{wCTX3*GwuFmVaS zeni!4kz1Y~ivAukz{nqHS~4EkzUZIGc#)LxLeC|(Jux~8y}xDsLgGXm&6^l6VEobb zQ01Xrir$r&knt*bN|vu-98126!Ep2n(EnND?HIe5aWHi@#!kn$d|%#Hm$$tt;k?#hPm|dJU$|m-r+M|HbLtCt+|OpEK-*egxIOIc~uZ zm@1It*$%zCINp&BnD~kMOK+6=>?11FGsuI)Dl~h@n{Xa_2gs}B?UG-2k%y^esIoCO zLGreoJl1!U*O~L=^ghXZ`90rzhV~FG#mL`r+RX}7-_m~6g=mILyOQ(XgEMG%I&+@O zEwoQ>ZUOmTNV^Tsp5kJ=Ym!rq8t>GxT*`NhAg-2q!tlYYmmZky`i(V1okspYGYfa?}L+L9=rfum70&fNE93 z_NQa`HwHUOUAbRQKda@rFlIRYuYD2qh3uLi>?{k69rgZAZaxxE9!{pj5;zA5D! z7r6C;)u_%|$m^aawo{3N0x91o@lz6ikGk$6_d5RxaR+)QFLveO`RG?-aQ+hBw}#kz zm^jQ{%KI-Dn=Rw@tHqBnt{C^CBQaKt>QPLd!no;uPMrE41NnVktzvoRcYN=^#9HPX z(Kd|FdK7x{yG42raX1uXEf1Tr{`(Q8#y`~&r9p$+DQR+eei+Zz{qHaR{st?H* zGg`b)@~ndVGm9iYx01L1C*-kSOW|5?MYuK?#btM zU8UW%o9trs-2}?-9ZTGGGRP-{W5b?K zQ`85;eolQPhU=t%*)@#iYw34XpHVJWlZf@Bqlxd&b=q6T5Pyey{CLV2qsm-YJ75y) z&A`y}Sx=!EB;Sh`N_if!-b@^fB@RYQ`90Eaj=BMR`YkE%fSKQCJze0| z58g+Um+xW|5Qq7NY;Osw2=gk_4DFSuEX#x0#cqAwnR%Dr0L^J=_wcAgruSUvO6G!BC>+o}8e^RMi&kr&67bb3>>&k;`#UjQ(PtGS- z(}<&TeY&}o*xrq14aPr1e*r2vk3A9)N1M-c?~~Y09BWJLHAB@7lZ&PN9o9=6#rTz! z$LnJ7D&^{a*`A!g;SC}VH=#KVy>Iw@3He;K24eCk z$JMUKgj`>*%A_7%roMs;(6&KuKl6d`;#ux^*m=wgY||Mo);*XPcyeE^pp-oFC7-;9 z$U{|3zM8YiXVZ*!V_zEQwquIM;>=OJ&*Q_KYEBHZ2eACcp2X`ke%c-*9;$!1ek=1l z`M26-yZ&QG5A4(*59DBn;ZAeeX#5G)-tokViL96KiSMGHGw0_K%k$E7W9A)pS`p<9 zr#kI!)HMYP*`d9tpOt+p|#ylkK5qGgZXO1&Cp~M+}O>Ei_2j8OpLi+RGbKQFO zF#2be5syayta-#|&36VjpuUQ6Blv=Og;tC!L4Y=!@y7fY!*wzqoy_>8?!&Mdy2BWK z7sJa}yYlF}7-_V|#gWOFn1kL|7@oJ5?bJbU4kjMK$QDe#E#-$X{uzdUp!ym0FPMHB zQ?Fz262|VtaGJzD(VHuuJ47!f$K!H7Z_ox49!9!Ld^3g!zI#PLaD zU5r%ne$gM%JTC7q^P;dzW;yj1eFVdL7`#b6duyb=FPC`9|2x0&Hjp>o`{Yyjwd9w~ zSAz)or!SHD?oZ^aJyY_x0r~8oM}F%=v;*&U+J*lK?M0W+p6n6Ym(7uOcNy(bEh%#K zu4>SX$#=1BHHGqRKHfY559B({3!`w=Fv?#Uh~M?a6T4xLC?+q&V`{(akGi(Shpu&+ z)jf%K^(C%9i1?17*kXiJUp9t#xp>J~VqfMd-RW0@w!SO(0`zZ_c|@xztp6%{a$RNE zA>Wl-xsO4(xX{JsOY}D~AMo2U{_BrW$@P;)u4fLWF)jp|`w_OE>9*s)gTWTY5q~i1 ze=r!qc#~|7(GM`OV2*oz>{U#iUE*R-uA|eL^C;7$u3U|t>x?YH@Z2&N8@WGCN{qCc z=gOno(N4mY{GRU1`Eto=FjR8hy?T$>`v()hVeXv&JW2Y>0ak>dcvoV;0q5N*6 zZj(5U=`S&n`5h-o9Lv0ZFR^Kcsv(9w(K`bZ<2!n-~j$!;P3_G#^sp0Z@I-_}) z&mBCD>I^ieqW1{LF?kZ&1jjk{JnDYg%FOD|wy1SjsmL2R|^+@}HzV*q^1H zTuHkLZ(^Pmq-l5lAGAkZjcNz&G#H8AH?-%l6YV^6KQiwF`U5jfoIb&QZu8wZr@kkb z_}~bqYB!Yl`5`zqhw}gSz_Z)n#m&+CgZWqP1=+5jySqJp(hbM-$6E$tli^Ntx%8)7 zb1Baqhd%wUEuGAIjq@r0Oq@=?t@{^KK7ShP9h%|P8|n9hx^c=&QOk4wRLc@q9z4PL zp}Ng=aoA=auRkCL<*awX0(=m?0}ENd(;{rVnB^~_I&CTC3sC*M%*CdjaVC~va=AE} zaWri(*<^)VPfx&v{I8=9dJ9qCjCKS@rb+o~_Q!U^@Eh6hd1yOGEdK+= z?&R|(J7fGIj!)t`jQ!5>(*seh=Qyh|7<{zE?YEgpz4(RHmuZRi66(<}rJlq7%ro?V zWPUz_d@>30OP@ZK?X{M9Lq!4cnmnwX;#99sa_S17c=33aH*e)DJd7m*(`?wettLaD7<&#*?o9r~b=zq-J=vxfl%6H5CO@&VVG5XgQyEsVU z@!y|ZtmJ;iDo#J>Tjm+&H2TNm&naa)`)A>F`c<_RQ@!bLlO85+$LQ0d{63zL`-`eS zOWbxc=aHn_(yu2rqIZY%^K$;Y-)XK}KQ8z02_`abgwxTMVdj2)5jnrlyL5qjU1Srg zg%~f#@DVgcvU~`}zQE*qiGRS%_-5sGVOo}J#=%G>ac~qf^Oaz?yuO_ElAFRefT0h&Y^#(eo(}G^U!17oz{QynYn1?k?rs(7eHNualHl6Gvow=_Zs%Mq(h> z9qKY-E$3CnP9rvJF#bAv>oAswYCQ(Bo}WvcOk%nfCOTsLDEo8#cXxL@>=cQ&pk5@N zf!>*De2%a7P|5il=Hha<9sgtudd_!oAm@8VD(1O39E*v1Xf7t7(v!%$uqAr$k(Xu% z`J22P)iUxt)(O2V+C^}NIFk0G@@Q9HQ)zc{-*B5%-wITK|M(?t0*N>Ht#zyixu^sGU({&`}&87eRg#J_& zOr|`f|5ZQdyI8+L|7@pDW%=6aluw@JwCB!thNI_D{!oe2G-N(tPoL{z?W61 zuV5UE%DljQN*vT;q>GH7^7~2pLE`j&wExEVj~IxleX?Fd#^uDX#IX<~ugLoMp|=w4 zSMvUH9!B^CadL_%|KHdY`yXqKx+z9W`Mm!3%iQs>L(yx^aSGdU+`@SrNAE|Dua*Bn z^wZRXieUKBJhz>&iFlBDvwu;q$FH+<%k@&~`}ptGE>;K02mJ-(zFtPY*rAd)NttJM zFJwQvO~GG%r-@ENxetR0Bwybf;mTE?Avjsa_d~siU+;qTJEGSN?N7|7GxxE&|NzW6%r%iJ-{#pZTYU1^8*{Lz%Ba-I4=;`ieyKYyZA^<^Bl^=aSXW*NWb zenVzro?9m9qE^B9-4<{ zv;CFyTj8m5*uKJG4aN?lx~jx2j~>FX3H@W{J~ApnziEb{e=ny0g{rcQ_mlhFrsVv( z;8OZw?{?{r8_aj>CEq7j^@vjsVDLIdooVhl_cyUQg>fR%U0jChY{rwc ze7}u#BK8lnJgg#)MN#Krqykk5dVfgyM%4FW>@ZqcKXQOLF5|3vUzW>w=*f8w{;7-H z=kV@8U&d{{jrEg{i1K=M2XSx->&IRvHc3phrrf?p>~BZC8>1FeGH-}JE9=SU4~`J0 zU&1g4gAu4^W9(awnngoz25 zY9q>do&K%lMc9mTQ&*O+r#x{vMmm#cTJFmneV#n^B~MLjV)X)f9E)O7elIgm&>pnh zzcMQGgxDLjo6PTS<~M0)oiUoZ&+;hRp}(K`LJ-nkgQ>J*dpW;TXpi=8htfZUjp#T0 zk@PF7EAs}uX`IU+HFPW%ji6n;L;qz~^Zi6+o(q-8V!gsEaBj0~*DwCr7H`YJ9GN#9 z8b+L8USaA?Al^RNX@8*~*JTARHn%Wu2wpC8v6r5Qug+)v6B*~jCo$;B_sCHGr}wrm zcIySNE^(UImO6FMW%ve$IgER;wV0IaEY-l}thWP$e^51A;mVU+Fn9#5{6C=Et#r%d zn=w5L?P-kX(eqIqk@e;g2V*geV@$5wh-R*TknicKi7eOk(U*Bc{8@RQMVOHPCCq== zzc6#&WsEplD&^1dxgzqrN9t#eLsYKMj3O47(<*r5|{SH^LycjEIif%6Ls*}%lEtXH1#^n>5Z@V!|BX3?8~%M6^wS} zHfxO2=<&oGQOWsWR;~lJKNq;=!K5Om`ibxRej)uvm@WOt1&sSj{x8TpUn?T_?Tw!{ z$Gtu#_kRhJ^lR~kjPnT@-)$@U!(^R#Zhe!D!E@+OqhIxY#kidB>C1U}{x=KQ&luxI zRK5qBev4drQqJE@ZC}iKt1*0ViHqa%`+R!sG8aeW_w~w%adFK8jPJ#5S1ottIptU_ z*K1b&hgg4$wL@08^*p)m@%Z^lF7|yXH&`6UU@NLssGq`exqh>{me|U5nOUc=WIukP zyvc7^E$S?m=QhW9AJjRRZh^`3(O!g=a=l3TCB(U>Vf~-jenkyd%KilFh-=@*Bss^ zaIxJqh4L%&iSI0QswVW4su}&K+E4##r_FZD1G#@uDA&yg9ZOufzlwf4*hoL_e^BPi zy$SUDYK4pgH7GfM`b(m|3FfkXlH-}?IH&euDA&h?=gIN^h586*ibtq7>r-$3gT(3s z>Q(QKt8C~FdRXisAtF%BR=zFqzO`<7PBqrNicQ*A zxbk2R#?QRo#kDiBxHJotd^)``^wS=gPHQFKX|d;$r)7 zKCi1N#P4MOU}h6 z8)rNT>odNDyHRD%59r5ul&E9e`muSK$j7kGa#x;|an6%@Lt+EvG5LQW{ReS$(F(VI zLeA?`hl%~n`F?U9VWQJY)|3AcLb={D^M69(bzT?UCEI%v({f&5ydJS`i1B;n{qL0h zdK6QGF?^TLll&6Z9jN6#2>uyTK9}PW&Oq-b#%DDNtz1XxeaCTCm!bb5$2*kkDa}jN zgKsd{BlS}&^SZV&ZvRO=`uk9KmU_K~de-}?cO%yU+g_3fi)8$MoIJ6Qp=p5OS{cvx z&vD1u%Z%%dh>t%H)0LY)W;*p2@nf`OWqfbL_-=nLV*MKO*zU;Vb?c{4F4skyQ4@(9 zj(4hUV~JOd#^@-@H`9L9o_@q(4{X#4TU~>-=i|Ue`&~Ocvprtf5zp%BH1WQ~@6(Re zWX6Ae(QwLd&1Jn8#yIVfv6Qc!==|UF%fFlA;&4yCGkB)JX=c*T*z2bf%X3)$tC$z) z>GVtXe)_9qXZo+G+#e#kvxM#C(%+dHj7+9KOq?{I?aKWTQ}Ta&V(mg#?$=x7jLCg` zBRA9kraCQk<*7pY=hy`L>n6J~=M?($w0sY>a(_ep5dHtQb7fpuw2JM&hdEPLv)z5D zI;?SV?H;r>ShbRI>R1YsT^Y|Ji`j3zfc*}iVVuxi*x%T6_BYjy{R}Q(KeNVT?KSLQ z?GCif*v}RxvVXb+BO!*XWPf|IU+L>H*^>QAyn(uc{R>aI-hG}R53>$n^;#LPZ^4+1 z=dm)zb=~+z_qwnr#-79+wceFiZovBcu=Xp=IqxR7Ja;`t8{bUa0;@J->=hi*GU1jt z$-+?d#uH~;^#LB7EL!>iS-$y+q zWu92`HT4+ji0X6dyQ&>#orz8QN#1@=o>Z1$@nP~P>qb1*NaEh)ng1MlSP{Y6r^(OU z56D|9_v1`HM_!l9{K>2%@6%V)Zo>o8o~P1IB01%*zWpQg2kK-D<#`p}i}WAfbo!Op z>bP59$#pXR!f7t{@{673SiaNFor2xy=hUFlE>;f@!&CZWwe+XzOP(Lpv}3mGZ-4HG z=MQt5#`NRrz(nHjCbN8J0rC7Ir_P(^wBO8d`aa{0TFv<5mzT2sFLPO6zOM$`=DYa# zb4i`yhJ{XFt_RV1%wK{*OIdG`jMI&cixdAAhc9<=M~>XOxLe=b`2eZxLX98F?8b3Z7#kCcD$8uz;R-z*O|p?4PL;cWE( zqCE99+E*}^lJc+6?3U%9V7eS*ThVKQ{&Y-s#Kb3jj?|-=egiZA$Ee}5yuU1$^E{(p zaGYW{$nn~QsXbCI_v?y`B~HgMF6W8(4T+<2y-n;O^%9+k$&Q$shrw`+KS@1$b%{ec zA2Ydz^5hkm?k~#kG3I&l!C#MFKa4e#^0&wz-4$(#ar^X+EEXUB=+;qnv8jV9Y$9<5ZcCCC{R~^QHS; zzmPevbMXKd>*>;;Y-fJupX0moU=saL@OgoY{bhyD|2;SE=uFmYG20oH>o?7fB`)?Z zVxFW*%UJIs=@+k{zYHcWaOL6jMNYr#VrO!z%#Zw~E{JTSBC-!U6dj%6Ku(}<#XnUF3ZU^LBfHVfoKW`Z!B+&$KImen)Jk~f2hyodaOJV za|)^VW0zv$Y4Reg9+tmA-UK7@`27sYkDti1ZM(5r?w4Bi7WtT-gZ5tXH1+~{n^;F4 z#}AR;k;Rz$n7mIvNjr$i{p3<-%y;jn=F?uh&r4k#llg;c%=|(9LwgJVoZ*%S-KRPI zzQs=aWxmtMd06_`Bo`}hJU%&!^{%1an-g;=pW7Laos3^zk?s16ue;-I{hg+CIIbUw zn??w7i^E3Uc-(?=J>%u(4 zm;c>EL;sw){?C(sJZvlddWwEt-;Kd+#sl>%hP%-J9`&_L-215E;_s+K48}6fsK1Hr zlf+i;_Z$o-_O_ufzeAXBh=aqZpT$sKAF5@1?u${q!E*H}`kT<3jP@kf^Ea{|rj4wB z3bCq|{XJXuQ_6$C<@1N~d0WeR7oqV`^^@aLPu7?7QtfB*x<<0RA==;M_*x9#ljHsv z8hI{;nJwji$#`2|>gnwT?(^Go(4U270D3<4tg^)4$%C*h+Pfj6)n@QyN@#n0%SS5>C@7n_6 z3DPdUr=6HN6M0?Fu{dcIb{xw3`*ZM}p7?w_jGwvRwaW(GoaXnQPQ7tBR?xo9YTCO# z#CYzn&2!8B+Y6oHqNz^rmFc{0%`B&p>-!_umAE+iYANg8#CYx%&13zK<~!qi%AH9$ zUoLT!elD3_?8@!yOPv+1=qHmW(2uGBv$E)CwYQS>tFWRM{c^=QGG1@Ts#EFD6HV5- z^{b~~R%^zCoEx!bBI8E*64p*Lr=<5iO_xb1gLTrK09jC+aUG9DUC zzleUzo8A6+6R>&)rr(qDqZmCu;npj^1}od(JA-iiG<;zUu9ENb|B>GhDu+|<4U^@g zvHmC=D9ht9;;g0^zW}|nao0I$YT2*iJ21Wlw?(n`FFs#&UE-R4#1XN@6~y)L(-r7vVeD0ocSQb=$&&wH>~^V_9L)KIdTTLW>aP(7_fo&;+MxH$eD`JUK< z_V)#@Tm`g?^kcM>Vf{Z6pe*F9y-nR|qcCV}_&r`BL5}VIa6|tT=Bz8mH zRvak)A+I|quRED?bE}lMN3RVAa{nd239)^d&*wdX!N;hcm$(In@*EKFFvmrGD#zzO zaU6yhV<7)Sgr9SKb&*&-*Bu8_CCB{)3|q+ZXIZYUM{f}7J=9xxCb7L!>Tw(T7mLHh z=S$rCgx{l=xu4WLV)HKghsh7KUh+ilW1{6bD&bMdBY7T`cOL5nn<-cRY(CFrsMku| zj(jvNXS(HjFnMYU$y?n=95c-=w?C2BW_%Ix8uDHDMb*E+m8-944|c6Mathn;NxM<^ z$oPIg?dgB_r#mu&*B|SHZ*{?K9Wbnq_g}i-wbM17v3n1v**C~(Umfby4~}H{lVkDi z@y?(n{X-aI+*i85mD{~VxO^Jx$#s&!+4MX5{5Z?==Q!h&N}RD?rOwobxmZ}{3^vYl zChnQgNGNo^0574r@d|o>yKw%5W9+gHQI!Jw)S}pr2lOp^Mvw~SGd>t zkD*$~JfZR++6naMRbOG&2>SbN@_&0`3gbbG-!UhDE&H_|(-&2^xN0OOzr>0$j63Q3 z(67Zvd&a5qji~D}u2sqR+RXU~!Pk`McD&JTKiLkgLGMG%`4ki9GJfXB?*jHr;;P1I zuEby|R`y5RPL}r&*J8XY=883kc%NgRVOWD^fW-1WJ}YFuTU24>11uklUSo_u%;!&z z!BkyTyEslc^1DguEMjwz&ZQWYJW01FPwMX_f4ml0yllCvmt!YmO)dGCh@u)oeufRm*XSbh*OTXPs!GOv z9VgF|!^wM-l6kS5FC0CWb`p%E-NeqK9mRIjzUf4JUAb!A zH{10KIYXW1mf>h~DL-QZarR`Veq@T%o{>-dc#%`hEGB+~e$VutN&L<%tewqz^8H-B zHi!5t`fKk&`gb!##)a=OTrcCtt&Bh6Q4Bs|{4(3o>&Uq0{V4GY#!K~rls`i3Ma3p! z=03--66;ziufgNb>0$rV7;0JGa-l0XV~EuzDZg1_xgIloh&XI1-eny=x@SLi>Y^>pM}+mADgnPm8xmxqPoyGldDT{V&Q4vZ)Mek`6n3f~%v zwL`GS0Q|fMwrz{*Q~u8z-)g^W?=w4Ms*l8joHiWhG=B`oNiq-kd4h|B_P*2K!F)gk zc`jD}%6Eo)3!T~&JMFG%POr}l;spJWFZcgV3@vr#zC2GT{bZSoqf_TO19@(wmggR) z<+}ISZ}gMum&I8IgUWE0l zvATf%-^zIr_A&bdMX~+6f@oCz#$woUu{MW4P|Jy!vVy5$d=SAH`Y#*J$@-(U!WWN6( z?Op8@znJRQQ=ic8%^Yd}{m@nwvHjcW2h>*j0d*DXag47jineSD+bfiD_=wMb96(i0 zKcQ};pD+tXv;9lyC(IQid3|yiwOCb$eynObX7$75zcKnV+Dqxz>_E)fj*;gv*p2C)^n2C$7@2~8 zU##kY^=n!G*aMh&1jCn5%e*=Be^{~u<<;{1z4SZmS7H--YcX{>s&g^^t$bd&zA8P6 zIN1)fc5s|B_wUzoom;F@z87AC{&bGNx0G=snom82%SEZjRLDF$J(POZ*HQ1`I`Sbk zpZxIeD0B6ddXYRbkCRuXihR=#kbkMOP&J6V_5G!chh87@)|c_p{zaa93k%(P`f}QV z8Z?FYCf})ErX88nb6sp6rhTc{0G3bgfv2`Y^*!@|ii@&c`)w}m{0nLSFG{~~D)S8U zx_AQpj(tn|p&JX_>&=lOERlZiYx+agQ2NmV`qiK*{cs@nKeIjQ=haW>eaCpCi%_2=aRmmaEq2SjQerQ2Kdva{W(}(DvR>x8 zs+*)-{?7|L5!+KRl-GNsBp!(RWqJSY@_zGB50&_P_S-haAoKm=2|iyS-$#7;KHc*)0mvfwYppx%PK_8Bzied1l9Pc=>*FcuY*D{W~ z+>a*MD{(ezc}`)_mHPCWOTEs;po^40K)r{bqLF#M{jS7q-`|Eh^Lt+{`D5-zTOsjT z=?=oAKLxF5~=MiT6wXK7!^m^4cV(y6xMWP~S-2>t_ln zpGJGoP0>D=@5;@hJeHqFyU}mcj?{ulu3Qz2$GKziqA^ZWKbP2!z;HPJA?cNpxW-wOH^^SZ~UI>WCSw}aOixAiXi!Q_Q;w>;5^elpmD-if8I zJSfG;j=3(@a(#7JKtCKAFyED{%=2?LmGio^eW}HimLY+q2h;cKy9E-Q$ws+7Qwc2gJ z#T*Q(uv)%vWRr8sTc1cMh0TK9u^lFcO1;O)N5SoIkA@d)^9Cw%aew@h-H44 z`-Z$p$^BO14VV{1 z%yrAvkTTXgmGQ=JJfHGI;tIwyPkwg`)-7bYTo3JUW_0I5tjK}|HaLd&LQl5uNd47CMt{3*@xo+yj z6>k0Lndr%N#pZP4m&bWe`3v9p1BWxDCbA( zFIXNvh>1;@T7qhn#1XX3G2RcOUvZpLazAz(m*e&nMsvk_QvQV;|8p>Gf;xicdg{r@ zdEWkcQh%BIv#pZ)%|`Pu^{&2^`Y%FzGKRCH{ATjRbVU0Fd1PNj^F8w@Kabd3OKdI_ zW8|SppdN*44S5>&L+?N2aX4A>`7`ocUyR$YG-WS%W1A2;MALk5+5ExJbR2&oiM@aT_ye2PpE#%bLGLDeEhk{X$~=82#?VZ z+O9KQxmrIPuaC3-f;rB#+}@^1QYFugM68-6fB&Ag}$;W!%4U zn%kZZXa}l6lbu^CtgqcQboBgR%(<}-xg!}fPs|1(+#^_i?yd<`IXtO zT_4n_`{742A9!~-apy5k({!R!PoTfB4^5%`)_fdS$nuWT@5u9T)dkE8R2=o~^iyHe zxLaR6i2fg_yGnoek2srt(OX^W)(`(8wsO8m@S&9Vr9aL5|D;d|R2@ zp7$rQmg{RnpK^a3s%^5~Y>B_aP|E#>rMxft&FS~m1*m0Sqd#GJka<4NIV=xvk?ox) z@y)W{Mzr!=wLr@KO!<{8*FUlUejxGJVg-7wB_1mAF0^-|f30|vI7w`Ub{VQ%)GuKe zVSoJ&XcVfySZ?YPYdLQyyofl^=zlEREs^!A#H-L|j+-Gia@;fb$7$h|2jO5qWNV@B!mhye;Ec@+Pd1^O$nJC$7Gf@vpi)1`l9d z?%$Cs-+wFQdZvoP6>h)Fmtd14sIO#Pu6>0#-jldmezyqw65INCtSPqWfzgvNE#rCB z`)nuYB@AA`=o_NMiTM)C{ngAM;>3kmEUE^?RZsHyBJ(h7n8eu_oG$TEj!#Nq_!Gx7 zT_VSIFXO-IjLDa&4|PQ50ViW1^S`wGPL#RdedandzmoYtB6Hu=cgd58JdZDZn&i#p zQOWZIf>)U5n%l@<+l74gXEOf#b;);AK>m9VO?KP0hiNZr z679z<8bSHeVNSEBKThuHRByDw%0`%VO}1;VPj<&Yd*ko@ohC1aH;$nE;AqSqhXs?I zx)c41oi6>($O2bxHWab^7qn$EFUY4KGndKtlviYauwfS4U5#OW+{K=pm*K4>HqYY! z&g*DAhxhYQfAjzOA6Y(9`r{A9A*c?ZZb3h;FF@NGgE~^)4ZVp{K2=wqWIM}Q9>{ekdOdL{E$>B(F~qhkuCeDA(7aokO|bO`Q+nc(k@y_JYziNZ_<8Dg?KOXYjv-* zuR7vw!&(2=p-%PgK>TwshB9C8Ie@rjU#!y$cWAsk8#{Es_oA4%3|FrU>of;gL~nVeX#W)mS>?UVVt+$j-Y)1Xs3M%)!Snze_|r#|H1H_$&}|# zq5SSVXXZR)^F=;!C;CPIH2O*XCWc3g-EyzTG^hRs!#MK-vt=gbt7kdwr+g2~+*cvm zhIxYjJEltLzx6w!-2XDHJJ-EF_7tY)l)2bDWu7y*ACreLUOwNIXYRXg^5pyF13Bm9{-b)}4d-=fJzEzd{u z&J>{u!82gdehks&lqr`ImQS-O#hm50%%O&n6`z6wG?s>Mft^bw0PfL6rO8 zhDSI)elf-mar`2=n3nlj@GQsIM&)=9mwKqBUTix|J;QjMzMp!Ghf>ccqSrX?>c`$e zewYpz{J^*zJ|y`xgZ#3+$Ui-yz`aflCQp5Nj)9p-KCAdRw_Kk<-kVp3yVz6@}G^LhPSXsa>!TYROQ z?adYM#Q&ZD`uqZ3e*=d9px1CAuj_!S4<3IWqAL%_69?nO)p$JL+;XkOkI>7-@BvgG zqJJ&w&9eMOG>>7hOO{`R{;e23#(o$j>&bPg;n$S=4^wWN%kplh7D&7e&0T0`qBk9N zi0TI^--zKGc>H-r90$2ysJ~m*`&gD2FLKMx=fpaR_B#yUmN<=`eD1&!YdNkqM(i&{ zRe|b$vd|1ibtQ)KJ9}_I>h(F)A%;WIUXH=(Ql2@_xqy5zzmQMI@1xDR;rg%AD6+D|wqh(*eChbjg4DeLhG?`;hzfSvkKYm?-V%Ani#N zp#4MUC7Wn(>P=~P^`srjdGqFZ<|TF+?bPNGt41Y42ufzB>-8 zIqLhFm*^t2b?6^VIFa=>(toIN6No#F3{8qlU%uft?vw8VxAE;V4k7(O8@k!lrp>zns6efu02s{__k{#%4+U z8T%8oOjo0K2S$!y;^Jkz zUY6VcQl6|sc|`8t>z_*OZeadl64iV*lj8sUyMEhexuER^@P>-<^>NPI&ByTCb1uWH~B7n|n2DBslq{W{sMU-+pTp27DXGkv&= z&6u&2PoLz}-_XCQkLU-rT+b0!l(7EarL2E?8D2J@*IitWqZVLlp)>el5uUq*@`X#C z>H3Cpc`iuMWVwqYg=h|-H+zLEkH3tmAuC<%r7${X74d$wa$m97y49{cdD0rEnTM&z zG1`2sE4TM!`a29-RJii+4m5vba`*LY=Lp6=!-Ri>EBEfk=mQvDwa%6M=c0E#1}~xg z7^AIjbnC@?W4II}BQUi};_Vn5#MpC~d=Yhn^=><{h8S;+UMEqONBR?o8hu%w?kMqB zvi#Iog-0x6~Z*0@S;u-n(FIFZmE(go$s-7xMzDJ>qNRm05_1f5^M!eDMd#(;=9Y z^EJ#Y@>##I%+*6sL!Rr4(aL>Z?3c8Ma4o7cXeZus+Ksx2b`(yKcC}-k+g>RD6Pfb4 zF4pqDiN1<<89p}0m3x23o$6}lNp=hKBfDXSE4RhdaQIY=6*|p8+Pl3n&&7J2?^I{f zFDNDb#In(pN9aFPc8qv;4nC-HT3c+~9G`8v-}OUFyWuN+PISw48y`=f;`Clab3>ksZB@Qgom@a%UFZycEOMHiQ;BazKZp5-eop2chi0%| zx0z16dA3u1I?JiwCyqTxKb~w!zaD=LQ_~pdQ{&M45R>v8JM%E(g1wk=LXX4rez6bZ zzP$uvXQ8(U!!O10^W6S;avr^!!T4`Kq&)U8arhjjMlgQG>N2jS?n7IR5qaKQWCG)% z{_jG!{lxpkv5zp6`{zdAUCeR$8tq<;c4NHNqW1xDe9=<3e(FtB35>U4JdYeBj`k-` zT!iK+w9jMmH;nx$vHVYwe1$lC2UGIgp5!p%_;6I`q29~;rMF|`X^FdGYCQYxH<$f? zozLezBEHP=FgrL-@rUGi7NYkL$30z&iPqGMJ^|D6|3>>JaTxV;Q$PH+8wUUIKjT}Svt7G9y}#2e9EKZn zo%U<`0W&J!#d=f`nLyJ+K ztEzS^b8%{(aV9#_&xYsH{{}lTT15XGk$Hf+W0hM!+MfPB`T>TE*SPY?iwl@K{egexGEw z{bUZNJgk3_#5L?k>S^@1V!ROb4QPwe`<>65z6aw)5|2l%F?^ZhWR|0MmK?Wz9A8i7 z8|iv-yzikt%nYfQCQ?uLQ-9(0s4m9TgVb-LBgVE-@6j?$*OC{p36du#qn=LwBrZVj zpyXL|jNMQEg%@FLG5MKjC3%`8Z%tdt_8|EloQnP_v;!;mjq?uDPSgvu z8#{KPs~;uz%?V`QV4t7o%7ZSbYiWo6-KDPFte|~*eQB>=!?-Kg{w$WSoI!m4G~&D> zTw8$WpFlb!1333x)U{jMMRV2IP6G?KV9mpE&@Gu-DBKZxGjc`gpp`A$<_MEu)S zr?(o_t22oG+0Il$#@&cKM=pI5{buq53|7*g#_yc#*0*;tUIu0KyLOrM%Xc##>R0Kn zll`P0pG3dz{fTNB{e2i=98mImzgovQktk+7iF7jV{lYQJow+w*i&Iv(I9QGK4`aH` zN>`pvVD-hTc-;&PZ^2{VV|oA8Zn?K!d>flwxW<*I24PgLAINF6mU6kyAi0{j=0%L2 zRNTR$s?k+qoGhc#BqbK)+ zt1tH(i*%vf&X(mXFx?-^`(f_c7(XAQfAKz5Phu(`bv^W-N~i1XO4G&G>he@uJ6&zFwbge0>Uz6kx?&Ly zl9e#zVih{#%_2-Bi*P8ciUwgt{CuB}=X`Fr-#^`ZzRsDmGq2b4buky`9P~3VF^YN( zzM#Gn%P_koTCdVR*0pN-{LLR}=bUNit|K23JIRys+tAm~J>1^pSD@>x&;s(&Iak*c z*O0gFIP&?w`(jIdI{D;%{9XEm8Br+Zc6_23JTadAwu}+|u_K9dhKN?30iyY#3vqBQ zhOX}@{rY4N(Rc&##-Wto@8Z;a%IijPALECAs!-x!FXN1*=cSqMIxgw&+06B<5A1rZ z57M9eyZspVOvQXTj{p4vF?6vJEq(tL-?B(z*IrEdDU5AeB60kdrEGs1t$E8NPVUC| z*yU{h2A#z#i2uRZF6IX>lX>I6`yJ?ZG&;|C`hMS<$~@$R*2sRb^D&-}≧RJXwsv z9<{>^mS-@ z(NEk5Syy`#(fMe)>=)?y57vdu^T8)EDYyDg#SK$L(|R(lpr4v9+HWr(FXjFVW7$4& zjA%VYKX)?Fsx^%Ao`c!1a1e2BU%aj-+76y*jaHoZ9p{C2|G#m?)axW#L;B#~YJ%~| z897+W9sPZS|LidKduf#Dy)s7hkB=2y{k+tx_-En@!34Xc>ofz5YN{uLqFS`?genv{d$UUFM;K><)<& zAD|n#Q{vL4=<0P?E9=LlJarY;9*n^x3>)3P3@e|(>I#fLi*A71f5O_w)UUAaK@7iv zEndOQchKK~&UP$)1lL4yV=vs&41=$E9VP29(gVZCdA(V8>+8M|^S;q~>4S-F)LW_n zMpjU-;ltE>B!V^X&@S<2SdveBWxhZ=hF+n4qirzgP99`ckQdcYFOm99->)~)ntaM~ z$+xQ4$iLJD8uAQ%HQ?s(+{2B z=%?OESIYe+w~Nkmy6!0LA+dFK7}Mud{LrPNtUp#p@U9{F(+JVLGe&g2A4j}ng6L0X zd~@c+B(~lyV!wWjljg%>iM_XGimqOt)UC_-YxkJT<94zB@OrZD@Xjz&?&qUd#CY$X zwOGm%o6*l*!f`{)AK{JYoV85KBhR7Vd^yM4fr*~XQ^88~|3YtSsqE*~Un#~mptT3R zW~(^P2y~vrM4i=Ao(!XDsP@5BsmA-zI;dW;hR3zS)IfD1n&;H-(AMuI;_2@xJj&y< zF*yq(z0kc3?VtF2i38}h)W6>WBR;PqJWXHMP3T^Yk!SVw=VPk1*2}9}Uvn{W21fMz z0&fxZ8oO3~h5ENUsNd5*Rw1U|r2P^rwLKf6*-1Nx+hgz#?H?}EJSfq;cvaU0-7s09 zdDL6or|Sbff75MAzPZ_~4=lYdhOfU@G0RvV*a_AL{s+2#{zUWnbJhj^EY0)#$$O{2 zt_xDyFGitRIEDO~K1npMMMb+x+ez1H?pNA=`_cIk<4xAe{_(eoQwK3}2$Mw^8lc-( zp*s{K?aq_YlzzVyzESh0lsrl5`N*L- zc@jGtBlnOe;Z|tr{U*HyGn35%)ri9?3Q`p=1!t1?1kq?M90o0zL52yDI7_x^Nn|QzQo?y<3)So1kpdr zJZ0^fB5~-nn3(9zd=~nObzn-bw`=L|AmekH2P1}cVEQ_{;YG9M@yYNUF|~g#{-Eo? z4XppnTISn~^m!=_7s-B=73jBFEOEsJOT_Z6=>Lw9?MtORe(f?b`6y=gSs`($hZR*A zT~{jQ=4{px!JSz3C1#CXCEH`$(ESD@gIJfCO}ak$32U~j;dr~TG`f~puREVv{|0z+bhFp3bFcC%*c$(_QrMbSZz#c`Mj1|-d1goW#ce83QPK+1HdgNTRUj2X?*{e$O|sKM-=7@ntQVfhhWS5_~qY>9q?dZ~OIOW&cs!pqRD zi{(qH*Yb-ob2Rl|`6%t<q=~O%oClO2ysz&?A{6oWp$K(o9uyk z1M&Icc-LrLH4d9k6rJT$ME6<7o%H#CR<~ldXED$DdVO|Ff9L2nV%&4m_eIhB!}zP1 zUlXq~ekSf;#NX?)Sd0u`BAPmk)Bl~{EwR^q8Qb;q{?K~H`|w38q&#>7;{!`2_G_;c zt&te{5W~$^NqO=GbUUw>IJ^#nBj{hZhQ}{K_hSsMUMuC!YP1s={G_pdZe-tfhwSGW zOnru?;hj<*Yl-1jn7SCvIE_1EXg=B_FE}uQy_y$iqNDd4w9@wpe2;tz-J$u_2%TBv zo!bfH%gD!&i{ZD(QEzG=J|^qC;Kb0>?o-p|vU8k0D= zfce}zYr4eF-No#$=Q+ghVIB|Z@BPxhgRt8%{v~%X9$GCJAN?zhJl_0^QN7+mc+ zFaHN4!4io}x9EJ`cA3Ow`!FZ5T;hxlD@6Y@tkCaYybdd+yjs6MshYD&;?g>+#pt`3 zIe(4B$y#g0yv=Cq{o?$`?_hhqJH-lvT`!GGT>EyMw+Ywi=PBV@>tuT{5-XQt$E}!3 z_fW6VYz(JA|GI&8$QVxh_*-Z-wwWCE7pw4|x&#zEtYbzZet6A=Nv6(mm^>bZoeNTz4VK?E->pRLg(4-d@4#B&4-{5Z> zBeCjaZPd+Bl>cisy2E5O8WXy3zp5;~LlCZV6_c&DwB z{bTJhsh@v@u3RA0c*zZze22hXnsI&(0j-!plq zG}iBVl2lp&6kqrD4*L+Cb&%kdrkzR5d}*!q+0rPphmg%y{f(eJ5B&L=LZ zkKwcMzx!v&agBa&6@QoGB|gB|4ouyFfj+-jFJf2MDY0X`zKE`mQj3YLv(eS{mA_8w ztr?mc>NoTfCZ=HW6zvgv7lSqU-~F}a`6k!XoEAk~Z z6@z+cO((xn4Kcimyt6(fAFa_C>>*E$u5VLu^4O}6u?6IJ=mYXS)dYj3^an?;|K_#U zexm0;IS;X(aF5Zi%)XiOI{kh#M5{6V&gk`K+`nUNZ#9+e4X22vVuI+@Dfr3W!&i6L-Z&07o87>P(EZ7<-5n=o#Qckg6Lf{MT|6x ziT3%^#NZI)TjbCTiIWd8{>7&;9-30d$K+OBC#=`^_bJv1c`q1wTxuEPY~|3!5@*+2 zB1SG<%5iHj{XLF}ESGXWoAEp|vsB`m16Zxsj}O|elJe+ZXm439vD=;XK-nLdQ?^#h zP2>(S=O8-zKK8_E%uDn1{qgoYh%4U2_~G^PxXkbdaq}RooQGMJn4YhP*V!oh9lIR6 zj>N+gF?KJ;6FBG%oSeeYU%2IxO>&%r7h_dZ9Nrw;G()RB)^;#Q_lq|nZgDOS5261( z$FKW2R=@ZbT~0aZgVT0?!l;bEwQ z*7KG-<#k5>rCmaoq1B&u%R85LH2rDcU<>VCt@jgfx04qY`n^z%NB+bfVE)gWO@4XH z$h%-Nc^Dl_URrI)Q)9^A@Z;ojWZoQkUa?vwxMzmw|2bVuTtq){4^O51=ZT_Ii~i*- zr@vVj3}w4FKs0Z55v}OC_-x0H(tisgqIqG6=-=Q{zHTh>@F>=sESfWm@I?&HEtc5& zi*d-Um_@vj@yg7bE3sdf&r8jOg%Z2Z8qq9fJT!X!N9W1Klvgm0hWaqBh69XO>bRS` zoa0`+LQH&setxOM)(_}zT*>ycSBXIcQ)e|;Bzgxzedpd~b zn!ciQG?)0g;lw4QiFfDYKLw)w`y|nOg>f&?^G(e=jECXhie@KE|ECCektX18PDAp8Q-nVE2KQKpj50FvQn(6w@Qqj zzFIV&Va`KqBrYGiR;)ONnFsEWI63N0vFZ%wrS1BAj0+AB@4t+BtR#xoZgkICFOSO} zgU$D1^iS+MnE7$|YHa^8Ha~`u>o&^c2Q9|fF043&`)lxEn@zG`wTrcvV2j7lei@s; zhpB&XO%0Z%u=FQvaTqI(Vg6qA72NzVmd?lMSd8C-PI_JPI?vB}1?$eky}7vM7hY#} z6`oj+p^jMjJ@s@Vfi*6coznW=fVFSM(${H^$#c-DrrpAwFqubt`r6L%GTJ??_YX|I zPkxl^_dltx$RAg~FS5=dul(o9w~_{!cR6`j(}cXtxSag;CX>&xo5}OojpV(*jdeqE zA)gnxEsLf762BLT))4xS|0Mm%-bnv)Umh#l&AlT<=d!`Z~7+kkP9%ny* ziPK7n2VwYIG`BJjm_oJADxOzEv<_mb<7z3lrl8UDQQncb4rytjcIQ@K`Lp*o z*ljf1>yN-khKSbF{qcjYIJ^}`&)+TmeMv{rtnMrN>3O@!FyelrMc2z0y%6I{uxg^j zL8C&-SH{HHHPb}<7RD#1JL8qJOW*Hzoh{o#pEItRzKnC>&N}X$!8jO6Vf=+fvcL2G zVzKJIB|Lr(<7c9n@zid}Jf4_=)_TTWds(UMA6vRojJ8-M=A6W`_n6PKlWU|rslU4{ z(eI!0YTYU2{x?|Nm3bnfzn|>WoOz_hJWM@~ZEj@Vd3iWyK8G#z{eRNvaun z6F!YR%F7_H;%&&cOue3YNUuw3k0U=r1>|e#GV(X3=fygDowL}$x#Ux0`hk55{UQ{e zA?5a6(?#dJA~7hMikm00{So?~b&K}LJXgxinj!c){n*;jNn)$=QasYSqxAQKIifi+ zkofAMqCe3^y`M(+kDry^fN#nsLtC$LF11`hE#N zFdmvUMjmJ0!O$?~_tZxi8qWM4If8cQC9;1)e#) zVN5?)2p*(7wjCq&bsf+O-KWs(NB`VXIbNWjKe$VXlWWwI{JrF0j_2s#OMb1-<8Ms8 zgYHA)WeSsK^F;4t;)>i6OCam2pf z2gJmv?^px0x6>Yp>oE9;dCX~mb_wn0>U9{L7inMT0PSt-b;rE5%xm8K5~)91=QnFN zdEkHP6P8~G+$us*j&9`M!~uv&4tS-e;WM;%O$o-u~Nssu-+#&QHOESUX3}O z7%y|yV#V(mb{S8dL+CYOyv@|}9^#j;k-rly!JGz+&ow2O{S12j7{99~VR#=VZe)C~ zoQd}HSoSGK8Z$4nzZUBbQ1yM@#`(l=Oh>aChi}H`%CPK3-TpjQ>{Pd*qt?~$rTy0^ zuelqo5{!++;Zt#cJ1y7W4S0X@yq$8a>5q1OjOOyX)4v1s^!x3MLDZA2zaPxpNPT)A zQs3oU(QS;@V%j787wzP~Mmt*j(Oia^pRSPh2{*&65#&SiAbC=HHacaRM~yMkkNm3o zg}lq^gXNEtmt~h>`D5g5)miB4^(zu%=F8uWpGLkr#pHitJN?3Hg8q8?i(g3piFMKW zvo-z7+(Umeo0vzfdt&7E8&gGR)nw8AdxGdE$5Wm$4)uHXV9{uaEpG(-9mx~TJ%cDu zpYQp3FXD?jW6w62T^r-qc9i+|eFyjS5X~^gCo`Jy$>?=r%qK4U9Um?F?~Nr6j~AVW z1;l?viEo=InsJke7f->b3i0u&Y=1R|or*-O1>>!K(R9k!VsIF}3w54P|GxP)=6mle zwBMN}j|K-7wz}ZoyNT4@6`1}wazo&Xk2T) z9M9^7!9KLVLeFNNGAl6nUE@OZA4l&WwEoq2GxMCgK>Zp`7qn97y^lf2$n&r@wv)R5 zaoxX4<0E?f%QS9`!4fT3oj$}SAMKsI9y3v2=NG(ws|bUkXzO{8&P&vvxkBwvy$4UC z{h+qP+q8@MP21}Ubi!yard|DRs;lkYjeM{xisf~iRpg014V^k@+K^Y)8|0hy7&;5d zLuV>^X{Jq<*ukt z_?_~&+WI^8;AZC0vW}QB8HelVx^I*d|81?4$5mg0(Y{!|5OdaH{yo^@eat(E+Z(Ls z`Tj;+SKp8JsU}`ihwa(A-TjI3pbAU%xTX5}Kq^l8-}yK%7dO|#?MHatdH>*vhtZ#l z<^Ay31z3}$UQ)SOd5C%ob-}EcsMpMk(cVY>r>?@R7PL#%XS7>v23G5OE>*&M!DxF& zn$Z67d&q})drYh%PrP$AUrvyBCAkeWSoX8E-`G9qN46J}a_fhw9H(rG=wCO9^1LYa951?)^F_0ldEVVle>RT} zW51L1dw=#o_IvC$%75&NMeQ*NVP=DlGLG2UcvTntu_qqyk2410dwHTcV<@&~JaZm& z+1_D{=x-W}XX$u&73%;$8Rc=#1bi5+!IOyF>iC*f$m8egy5OOy61#(RTt25rV$Yzf z_cunn8N|KO{vVptW=gs1V6Y3lAJFeNi|q!@{b=j` zp#9^-{vYaR7_=>s$Nk^+y#Lhg+tjUU9L=5R-H5@{=q^(OeO^(Gr=wR_Bh-ig2YOjrKl=M|E1!C_uU6Mk&nA7{=W{h)OMBSO(Dk(4 zzSH(>ho&{{Y&D?$oj1t`tB&Tyc@t@`PUMaA75U`UM@xTCW;G-4Ok48MveEgA`Pe@L z&3c`eU)T9qHM4G)zhmwiELvH)c(wM2%09&HyJ5M5C)#Ly5iZW!E&Z!k7|){rnQdJp zHb;Bo$$o5qW)SfugGK)j=5O=DNa9=Q_rCs~&ECX#;CEnraL$OzevZfZ5v-UjvD>eZ z$LoD_67R$$j&Cgz&9P~inl47(Ef%e%Gl;*PDaOlYiLv{b*Ao?tdl9{#La=h4Z1-=P z&wl+FKP^4K$ZpTLT2Y1B#fxOW#6B!v#{3@D`zghCE|Kk4^QB_eZnZY^eU0ANxkB&b z96Z4|9*?e&{higAr|%QX_4oC$uFMbBn=qNd{E;yMQ%BI&^Ruk8*2wWv9We1QR)*F} zdEO$-d=hi2v8+AwnKuw?S}@;bU5hnM)hpGfuwnsbF30e_7}f1HJ9Yb`n79kGbic|8 z#2KrwB7MG{ehyLb4$mj&B`leS6+N-+0t|i0>+q(a(*pC}L5MTq$>+=+EO5Ju!X# zwbONcF+Xyhm4{n*lyPTg~8pYc67h5oNaY}fl9*|$!Y*bUGdU(EJXXg@H6xS7sN zOVuj0Co|s#dVdV(Y35ny0rY;s^!bAR*4c7A>o}(GKjB_9N6PK{(R``u`+xTrV&{pu zvY+z}nuX}C(()Y|&qlv1+AnK)8?^LyQGx!xI`~kJe}(?t5okZb^YlhzV57N5U)M`$ zdZE*o`fzg5((41*_fd~lEp!`Dzt%U@yXlQibM${=zP1{p_a^OTsXdb4$t!>)= z=fy$z(rx%} zckI>$uW5rd%`o*h@1K`mzgzmpySL!cF8Ew;(a#uwrv~ALLq&6Fxab@nCAx#@ug+g% zB=+9TXTPVkU)P}XJM*%)c9Lul#!P0v8w+_{8TzF$iQU#kV(bW-I@8$y4Cd!p<6`2U zFsPX!u|0%wDIA_9v40lhR`_GImoQ&jFJk-?-oHe?M^~?VXzTUzoznSo9IM*`j@NY| zaXrS*m|n*y_7-u?nTuq5@Cf>EW2htZx?6&II!>FsC9;2(eor3J`y*HB^$$zFS}NPa z{TS~{D=>WPaw#t{SXzhqA{dCFxma=%t=pJitozaX8Ox@ul;c#K&iqw59lduk@|Bj? zVcv@`L9g5YKdyX-xVjeeW_Acux1pVn{uB&9g4Pbqc@5no7}4M5m##n2Ya zFj#RVCT#S746!jHpjoD{l z)pOKmqBjNysQ0Sgn6sC5vL|4cUbix{NZVCEpHFP1z0>o0_LG_)Ju&YA@+Z01#Ja%Q2>(cAG~gB?gXBH`ty){>c`qi{aIgWeRkLSJ#Vb+ z?>{(NH0`uKejmwk4(PmCq3stL%zlR>Y`;UT$RW<{jzcsrChI&|dIjab*t;cfo^6Zc zJK@beu`T)^MkIFX4HC_#xj2#e(i+9*Qs!>**?)1gY`4!ED|!ns7(Py7=Lr45e|iG@ z^`9(S?@blMtLazqIQ`6OLccRM{V@Ed`fRc6A8I&5bgsjo75zB=ovP<`rEL1W`!2?` z|A#!r0sl)hZ5S`S9T@MyIO6I30qrp3OZWoD8*7fvn>!hYg2&L>hi-qytLS?4UdH6_ z80oS|o_}1=GtYX1IOn3pQeIk!Ia@GvHzsysmY#1`)}Qe+u^z3@vE~Ua*Y88C7A&RS z7Grd;#y2xg=UtDHbFo^lM;zKioctcMuV9?F^!;1>GUkEuUnwu|MjRc7-oseA5A(V( zkCeqQ{t-qlUP*g)#?09mKY`Ipn5X=%Sos3FyD@y)YI(fL!?Jl;F&C{*u(Hb<+0Sl@ zH6yT6&$rKekvQ{v%sY#DH8KoSozYCi(#4p!4YRhQwF~3=KD(@v*y#0RA}QjsAF%Qp ztoZ`1wYpv3pC{Aj|F@+)s|nhl^E^vF#n^qAu@*D?Vb&OQ^z#n;3F@QfX)N!J;aX__ zNWCUkW64Qvmj|(C7^Z)xW^bk)gZWtgJMCSi=dahCOPttBo@C#KsY>!HmcXn_F{Gad zdAe?l`{Z-pIL+&`F=HeBq4HWxCA1&igjE&vH>2xXw=d&>8IO^x=>NeM;^aUb4;EnR z64uX&k1_rWx;HRRgzGU*IO)&F<`bvdGG4^=doa_JIN1Z;0*vIMKUm{;c)Z(%*f~h- zKcvUK0z)G({;iH%%Q5koj$d^!qTgdg_VIecTQD{PLwdjV&`QC={ae);$$(SLlR zXk9#k_~>}zQ{zN;YQE@g98Ek5tpesFbLI&4U(0-Db`O@=&mTznkNrerdJ?bbh;42_ z>s>x?DYiSxe3{6`E?x2UUO2r!Zf2cjU6&`ZDIX^KpN=MOFb12C6`f7viFXv>U92BW zVlwgXQ$+XXnCR>GA>K>V*xsp_?Y(A*-fJ@{-!ltuoh@4J)Jx_{>^_3lIrAm<-$r}N zLWz@S8p>ms{1lxbi=^Cn2qRgGC5}bWxnYUK!FmjThtBy+rQ9n)U+?P``hz&qbeU{- z7hy7m_9={yUe4b+if;225=sb~+D|ms%f>qgRZv zIvCkTy;&nLmA>9kW9mDxk@g7cq4zWGl^mcJVr+}HZ%;Hn?eFOI*u9ktXqVmO$A9CH z#QuKGp8@DSHi!18B+r~&bwY`hn}5kiYc>Yc$RBv7-5A z4Dr6v#ADKqqP)p)%FiE)O9xYamyQRmb$s|=g!1=#}(-pZ=mVpYhN1Wju5);{B(S%Q)#z#`OB$ z4@Su2{Iw&|j1q%AF2}1Gjg!WRUY7dcSc%Ph`J&r%oaomZFIt1pZL3~cAmw)Rs2IG7 zb`kS{|1kzjm>+`9XfK@1@m@mj4CWJODO&5%{{d5-n18(cn15on#!sU49VUO(@`56s z&yAS)2UF?$e;%5~_Hon2WPqVFm>0tvi5-n2yC`?{{Yz{X^Qm2HraV425iPwxy7Qry zzlx?I^K$qqw6DbAPK}RX;u~~oFy%6@2e+chL0k8aXt}H3hs4fhyE{Vn?}OoPn7Wzc z#?sGgtUk|v80vujU%bBXR&;*m^*e89{q)6%e(o8&k~lt^dJBp%avGWf>N|Or)_V!< zVdY`u0opB;rS10w?d*2ZJZOgL&uzRlC> zF*On5ih;Odh-m(1JhDC?N!*BW%lQSZ1B`QiR)K7HPN11TQDXn%$&{C}4)MoMmDv6) z#`Xh6qV>r%(Yvr1KfyqMUty4S*(48Sb;y?t~At#je+&dl6PQ+AaOwZ-#bj9NtkhZ!_PU zAG#A?-Gl988Bd&Wgz^(Q-VA5_aqbu_+~w{06uhnSRG z-xDW~6NkDLNx3~0gQwB^2~!U-Po$<`U zcP_)whqO~FN89fVZO?t^9Ybe4?H-IpzZLml<)U{Z`QoNOKORaRnJV(leFOc)7!+wf zb|FvwuFTVJ8?`%m?F`lY-%o!qM{;S`_Gq2xC$aTlj%Z%%Mtofd{I)gTaveH)AI=M| z?kN3tw}YYXcver*v>ZVEKrV6R?f5L?jo(|xpKBPG%)Mh}yZ!*&Pl!pmtKWxsdY*-OYnqhX7Z;1p=jgpTgYwFmVz7ReXr04+5KKj95%Yz$ zaW0SV$voqKfL34TA@d#DCzzkC#mrx^`bHj?ydQ%vqj5u)*hDT%Qcj_TojiFaDG6(HkRX?YRFV}kAfKC@Q zN2&MVJKDh?j^-YX-_dsJhQWKfeu$ubKke+kL%aLGk_T38^oOEZ%{sw7LEd=!yVjsS zv41Cd`L z^g3dxt{2==cQksXQwBpXmDGE$w$t>-u4)#`omQekL}S$E_Me{I5&= zBcBtP?BT?Z==$MI)(__4L6m3q$520v^}^S?;^fZwQ%6kPh|U$bMvXNlZhpaT8Gqhy ziqC}c>KoCt6V2CMa6os;t5`pn>-!RaF#rn(iq7s_;tvKB7Y!BtooIC!!FEsA4^O%h zn}%b=;BNG8%a_5E=Yz%Q+`v5G|22jEMiz?y{Z2{rE{lnw zJs8+U68pDc@G{1RGG8Sxm@eCsebN326Te|x7 zfBY@t&?L0%nesUMQ)2shHAK1jme~Cj{pG5DKHw*akJg-34FWwB| zL?1LEjq`b(zScuxEA-u(1 zuEb_Tf690D!$-Pzl>Tu|j%aH2$G!t`;9v|76RpQa5RcV<{nr@Em(uV30v!i-j-&hl zKim7spG-AH-`eG`5UmJa2 zoA{LSkhNGIAJO;QL0jVFix~V5z0;P+e&IG4AEoi#nEpP&_{5=)(ADcNM0B2YAEeyV z_v`Vuh~umEac^T{115K&zW{>*bRxR_VlDrX=jnc`zK^j5XzoJiHZ8vheZ7B}^#b*g zzCT4=zefoV(t3(&J?iHGv7f2uU=@b$z;L?$ZzYa5L}$IWTXS^x>3pu|Z3dfYXFH0{ zzvMyiCR$IR+ZgRTG;a#fs;%*>yBd_X znNn_@q45L6UN-tI(EeqH?C11Bx32mS{UV5|g=o%3>q}inB+v}d_!RxjouK{g1Nxt@ zpKH0jG}hlYyQ-PSy22V!$m@As*B5&IQmZcO3g-yx2j_2HM?AxLV0}BD$1P!;FnT_V zGlKEMdU6cgFB&WQjft&Eqb0TuyKK)NiF1cjerOnu%fq}O_}5_3EF4HYsV{z@(F=p!W^;@0iSf?=sJrcbI=d%VQkp!XhzQNu2tD zIR4f&DfjA5XL~nH=V83^C-qiUyboopvkL&q>@lT1p`!I1xw~wAB z`?*~)(CbeH)3p2n^tP(EYWYoQx}$Z1<5|PC-01PwVdx{Cr*i>uteQA-Gp0QB`lyHX zb-u5!YXe3u!=zp(J2s5^@t&mK(x0OQyQxoW1Uk=B&tYAES&e89{~=wUouHk(XK6Qo zKL(9xSKHC`!Hx-1U;aMY-+ysD^*55d@LG{4R-C+Xo+gj1x|&ZmdFDHscL!OQIvK;{ zI8HKGwEh?%nr7s)b)*~RKX<@auf%!vv8s7T=?7QdinVg^N9{j950Kc5q`z4Q>4)Z8 z?U(nDV*gg!zptXd`+If0@FwGf|M3KlGk|f#>Z{|+(~LX5{vN=+uSoWDZe+35DF+SVhqC1Ll-Mogbj{jzx&Ify$C%jDN6Thj>H-Dmc z5{+JOz|s3_CPx~c$7J+$U13)c$Eq>WZ;|X5x*hF#Xnm}{f~nOSzli<^XtrYFI0khV z%kd(w5!*jt<7A^e*WO<_Xy^3%HumRScGOhdXHdCub-RhqOt1L(YP)8 zf9vag1??};e5~aUYP?Q;0b_aS*T(pj=*?mNw;n*F*O72;Cie9Dy*ou>&GZZVRr-nh4E@KRg+WVn z-lBg6hhlPkcQkq#XztMYe;@tRnWHw*emjWuzIA_;=NCsaQ2Y5w`n@xQalq_hTyVOg zmHu7!?XEoDDjg}B&xYdNYNK4XHyMau^u?+^cy>4J(-8;Vg4I`G^6cF*u5G&xi`$5% zduQT)U9h4T<+J+}cV_&w(w_t54V7|dDD%F#VwA*gyU{%E%CVwXj={lkY+u5-Zt^Ec z92lMN_4@&51oKAFp7|u+gn7oigrSv1^0;`PX`-J*bAGYJ;SBU2m@9Ft&OFij7DJuq zOB{L=O^*fa*A(3ZMlM+>q{ermKLNuo zW*$Jt!*acTL23rE8G+#;nAsUC&qnWjjBVoix%&J)y+5?2ugfpzbq3q12e*^@A@yVr z!NlX#WAZ|DN6wMgYlTniD0!4@OZ@7M_)AyOoKkC;Z=HW4Y(JrS^a=B_f73`QciOnv zn|a;&MDymxd?|N7CV!mQ$8(&$wO{ok;J8YFOyH{xU}OJ|LAp(Qc{3=;UIk4(4gQ*UX~*OPXS81NlZc|@;j0Ky^+2@3hC#R;T`m!P!IZ(JzK}?Vf4FXCjHTDroWoq z%m;yk`{7X8SK_&z>Q%-Fc?y4aFc+*Fle>)ulwXo43(%XLFqN{UWcMBeA3BC3~mO zWqVz;^nNP#5Mr+>nmxMTOpOcC-mL4vVhqkwb1;2dXZ>HO~^7!Ck^p@!Hw($JS z`5NyccJ(^#rUkLB_rdn`davFCRX??HO z`o99rL0vcQ*LHdsO#|A`-avZ>@5ZEFgPXLSv(VD^4{l_;HKdUGzY$F>^2NM6S<0;{ z&7+gLo_vFKq+eJ4jr?;)jg$SIZTWaa^HaZe8>Rqr-UooDrhk)Fu83-Fb`$UVMy{2RDrs{hsPkbgvxG<8MW`O#%D0h>F&1 z)(@r*T9@eO6#wey6dM?y+>>bZbB_4sMe_KN-VY(6pPQIVr%SoBmhsPaX7G33#`smN zA7Tw=NqPGBl}?KiiS51U<}<#AS2EuE-=LYzIPB^=E%N<*d0gbc0xVo8#xFHuQpfqw zi^Pc^Fs%12$$FD{Av0sK?4KRM(D#_7=ifMbJr}cTiR|~^=k#LbFPNCbd=)FjvLk3U zUMBlxm0*d7u@A8Nh;E_f5*pSLo~fn^%YVIa}v{)0xnl$ z-!-{>erPY$es`ci_H)OM7tKdwMeC1IxM#TNmor{CCvu7PeXIGk2m7^ka6v1qn~BBE zI?DJp<|h24D|YQInqPF>3*}ON$q>vPj=LB~ohGA+TZ|FSuVY33$arG600&LL8Xez1 zV7&Kx=(=Gj^MbACCz~ZYul%m_$FoK9c<&wNA4h*@>F%4(ar-lGd5@vG-sd}MSDI53Hk~ao^0RJ9XG4VF2v;>@v?S!*Nr$WjKx=BaDwX?B>%zTEp|)4s}&Z_)t!h3 zcOf3yo%lu85mwuX#Od=}tX6~A@8f~&S2mb9J5O}(8A9w2MQ^0&y);_17mgvmDWC0^ zGrj~33M3A0WgTEQp2+r?>P;s8eTtY^78BhC8Be)j;AkU@W(D%zBy)KA(YK82dr`HXsSXnA@=q@#d zHSS6&FPnwYhcH|3V->$*72ET$M6U}PX}DU-Q`cZZujiKWB(ZrGy#TFq*KnLOG3Rph zkLvdGiL3OwXE}P^l(HD**}A<_w^t6K+-rrlUO(PxLYx=ExZc;LY$JcCax8}QeD$h7 zcwPRt==R5igXIrXABh1N`<8l(uEDA+FuaKRj-QR8x0lQ74L3r+5A9^@=P?=eX-8`> z?OUCt-b4H6HNuQ>e)8{B_A8$(nyQJSe@gpfclxLIEdACRGm7nX=-0k}j%b$mk#g&t zZuslXSaU%~8D|E!#-F?3(Az|_c_8u3p~R1k#5JQuf9zPcUsiz6L`CO3=54cTGUe+F zMO&|b>F9Ma9i69xxzlC4H@}$uKSk%z42jKK%#*=D^r9u~cMyZZ*%CWhb0|M&u4vCy z?RgUWhtWNSX5D-#HyH~=uLTDCHP-8kyZwk=Js&u7nvwl2{oc+DAx`Rf!q%6>_F+uz zL&u=|xNe`0)(DIjqvtJ@<2#?BTcVzc-W@z2zYAKQ@;aPFX#JqCcL3VoQV;&CX!Lv+ ze>e3N^h2))^=LkzUhU&rzm>D(`S|anH5Tpkby@GBUDCfx@xG$ntaj-AL3?_7eRBU3 z+S^P*>zirR|L?3*j9%x~?oJ$h!urJOh~}cH)PGa*$~WZM|6OPQV%8@nMLzl$k)P(* zaXhX!dFwxl&Qs*GGsI>4C8IE`dH-vk#OCoqsPFg9ov~go(eD$%>jqGsl`A?chTGM$cX&+pW=9`VU60S}WyMw`19h=ybh9%2UHJZ!y|WVae5Z%J#hG zm~gOaESBAd)h}aBDdud#iU2c@psPmpekXbT;ykbOaOw4U@N#SuLhlSrR&g9>3+8RZ znvoi}!T7c4Ji+V89)dYd)#bc??@Dyvrk<)>priM9&90%oBOhzMhtYqW_VKR3(r0Kt zzbRJhdLT=`r*L|c2bnuHPm<(Ksw>(<$)~ae`Ih{NJPh~8M3g*DO($<7_iH|PBERFC z$$K}TKP1}FKaxA>H_l)5C!@bBj=vt0dbf{G5v}M%(d5#9y%*@$wo5;Ex({c+9|o~s z``d7GH_AKSh}jo)l<_9f9^dOJnvDbSmm&D%aM2k*8ebSodHeBrqyQI95d9gGMQ3>- zu8&b(fu?hj#C8GWyAvvA`*Cz%VZLxa$Kb3I*`7XM!aK!06trhvGIug>S!d3Z{erFN zi z=xMZep!b>X|2~HG_piwd7t3+ue^MT=MV#2LaVBx(BVuoU`q# z?_teWeI2VYG63znsfXYiwBOSD()*iOb%+=#cZ&1(f*;?QEw1cPX2e(w$4JWj{ z)}h@8-PdVX>k{-P%#wPr_tNf0zrS%_Vx8ch)I4cO-k3*N7np$FX02zG!8Rp}b%;adf0;8mKn&zO`Tb$G-k--xgv26FHc^ zUPZJ8aYhIqZoXUk-Hw|@bD}G8yS{kI0Q_jM=(oRJbWRS#wan|@?6GVw9Vc2lqoVtv zjtliCOB}2&6wU37Bc5KLF|>Ue+x7lt?&@NRL*LK9!_432>Js+5d$yR$pCiU!nJaq9 zd1CU|d@*th<6g;4jDtA=rsr#~3*%-?$IqyKUv5`1t|mt=mE)A`M{mJ0{?2L3#b^ve zKVXJlKdo#J^L5pvQrWNOOvd}{`4~B!`5?6plU z8La&_T0i67CE;c_!dH&hN>HTY8NW8fjhOfrIf71OgAujuXxbgeg=K#L( zJXYP0nWdP}`=?FT*Yk$H&O}SLhcCn6S?VKPjD7>mi&LMe0(2v29;E(*(P$r{eM+Jj zy9CQ0q+Mg3F#ZJXU8d`Sj2Fm<61{F-&Pd1Q^oYW;mesy_La*O|Ob>>*zh zy3UNxBd^Q;)%Cz|?LVvNSMGPyrCrj$yNc8;qMaH{#k|R)w_<{52Gft76WYIv#z?u} zkp6FdJyc?=7UP6j(Vxd1$)S98I}A0!+RZx3xU;Pz_UVc3; zc{vNwy-j1iKbZTzmakdJ>zR$#CUoD__$f4c9*VPy*wO1$_`NjljP|wY&FA>uMl|Q^ zev^p(9qGTnSpI(Uv?XF#HRjbeI zTE^?n#@N}IYKOrD^!j6BoO%PgZ80cNt2u7GF0u0`ap*I240NN7-*-3w}(&r2Hrr-D- zX2|nNf4}A5%R0&~ryu%{(=UVPw7;hBGjxi6?0hj<9&aw0Bs#OT|3Ae00O#X;UhmM+ z>~|~UhG{TNVyp3B+{=2&YSx?h?oODv25-H7_x~HGO#M!HS2xl5XaL?kMD&M^5QEXK zXcn>_@^&+h2DKPh1HB$qtkpExFZIWCG5j#=oaASW)9L%P#hc7wd*`{LwV3ryuz$Y9 z_C(eAXnFEA{)}lHtq)Rwna)MT)me0 zD109Cm9N(k&3l`;VjlBa>g_w_afxe~S4;CTqVsauKH?TF*2#V~eKBJL=0B{z!R{mW(hH+pv zF)m`?FONu=^Sg~R-^UtT9{&ucBC8~hJ&CDf z=-tV>6N|2q`os`)FD;eWUy8}Y=rvp`UAR9wTV6v~qJJjv!OmxOz zY7r)GN4EgO*U_7g=5BS9miJSOFgaJ_Bludn=o}Dnh)tu_Xcztp|8KgHdm7evDz3a*6ur~Q^^*T4Du2GjrY-w~K(8~E?9ROAG-jT2 zOW7|(y0B01pJ6^s4`qIguCsES;z_H-t(BPl-_;zy-x{&tUu(r=gLTBm)u+}=?Du2- zuKEOnP0a6Z3G;mVe|187b}0~Jlwk%y?>$8AKNv@te-ir<^RT=*W%&ESg)9VaW6w}7yTFh zK);&XF?xu8&mMuEUhlqK|NfMH1$k06gZy#oVzQa;8#t0KFaU1fzLVuSP$=v^8@CvDqPGH=mUSu5EuNYs+pLAb7obl(| z`O@B8I8U^BanTtzQw-c`VwgRZxNwqaA0JP=lJ^bv#~~7%ihTT{J#IZePxcSDb;VQr z<0-@NuaTmy8ZWx_CW*l@<}XuPMEve_Y{h(Md&P;nF&~;i^CS+>Um$wFVYpxs?Jim@ z`oHPE;yClJS&J zx0HW>0D6@e`2rI&*HZr^CJth}={hM-lw$N#bpFQRs`XMI>_G1g48OuiN7m8Q_3DEd zc@?9-qPb*)949_OU5@50j69?9kC^@*gRa-hCdZ;TU7dmM6s=!`&RR@p zZ2J>OnqjOJ`sZMHgn!>ZjLrub?#9H;XjfolB$~nKAJ^A^0q4=pT%ToMuI$J)@9#t%qaBP<~v;;Y))k z-`xkJIk>UaJ{iB0yW#x)q8&d>46;TOFP$K|=}Fj?`NBV|SmH2irs(vXLwqPM#uLmt zp3}m_yxQV^3Gr%komo6iT<87RcDp7Pp(G4?P`g$E?OhzoL(xH zKZ7|}ua&sE-8wP;BNkl0UgF|0%+qChKUep0=I`tT^Lf_k%=6_hV0!jOd0hJ3O=9^U zSb5`(5{DyMPqNQVNZhU?j@^YPzR1L^NBO!BsJv{8v@aQkU7p6$({7e>uPu(v$1eBb z;d0EW!P1LZS7W(YwipLIh~5f}zl(d`!|d;HXT4kH-&=kPRylY}1m9?e(LZP(Yxw`S zYkV$oMQtoj)2>hr-XgyD8TBU2(tX38>BL4qZ#b&2r{n~$FY99*`wS-ZbCO|GiN9=w z_B?#=dCp^OJr>NsjTfP>pWDPA(0#&ijGu<}KBd2I(a#x8>Hla` zOkP7?MD=?qWqRLVQ>J;O_q|EXC(mlWCGQFv<5s=DjoD0|=IDO5>L~e~I}qI`$@9ur z$bY{UMusvjqBC^7=>EZ3xKjEzbqV{2*zN2eBIh&iGWT`#l8j4l-$L3CSs*%l=ZUe* zb#Rl6bMJA+y*YEb)CU8Z7wpl=5_?lU(cL&!v@Z_FKVz8cC7Q3=;(N6*Y@H|b()b>t ztuvT-$Z$MU=eM~NsDEP;<)1MR2IW&F4i+&_x}9cA?97de;qkd*=68{17xQhX^RFGS zkamL?VbjH8@HF$b+e_#1E0{A-If-@6=sFkQMC|K29lw?JHBy4{+tF^+@>OUC zpw~ye64Pxk_R|J=e$ltly%f{>IYr`)GS0^|jAX0&xk##Pz0{`-nq})G4i4$_*S~iJ z`g$^-*TkP>T@KE`=t9m*@-fa^*ipTm^XsnTeEa%$0;dc8VaC#5zC-`n{o1c7`q@27 z{|B2F$n)}#v;PdnqSJ>wvJaD2?$gtyoqK-~uj8^QqFFgnv>$4|?je8ewjtF2(ho1_ zfED$yC~u$S|C{~9py@Eto;?cdFs{70j5B}hR4I4$@1Vi(SrVu8ev+|!=SrO3H(zw_ zW?aX&vmQr>^8O(Vmq>kbn9d6gSdabZnK#^CR_cr2$4Kcaj^{D&l%2rx57$U}%?{?N zbj!68`=_iE!vkoyGtU|Qo}hm<^I+v}jP<)-+E+AW{tVy4g5*Xi&(7K;CXZsl!W$({ zeT~VNS(l^P%-`W$ta%0p=-=x%4!B7kw{1H%+lwQ2g?rXw+0$6{4&M6(?mU9Ge2GVoVZBDT$ng^OFm@T1w!&w0oiEkT<5OCnIL_m% z{=mrh80^RN3mEgx9_awij4 zoQgPHBW_{n?9*gtHtEzj* zv+OkaXWF2*hrG1sW9ECW1*6E{%J0eR?5& zOvY1mD(h){^Fn!C$FB{q-D7Q>>MqBC*2=-MLUUkXKYVv-m>#XMkJ zkEgt!&JPoZ6K}m%v<3ZftxNeIZP8S5AF{Xf{rNHGtKhB4c{2YTVji@aeQ>$3& z-Rxx^SQwJUU9{fKqgKDdC#|AOvQ3nljY zEfVeL=?<9~rxuUi@pX8mx- zq4PI}uI1mYz(j~{{Z&#P>gNXO%=Z`Xqda{C6Ae~NyU1cR8!)*SUA-=7tn(Ua=T64t zbd2fW>EmA$Cr)7WZ;U&o@;I*;lbtoz{X*DKI{>FC_ zd%ZD!KBkWG{Nn-oJN5N8#drBQ--!(6?$P=fMJTj}vt1xptyV`L%FJ`6Yr`{JY_?C6seng%d{T`#OGlBM>7GT8? z>@o=N?TD$`ct)FjGH(3tqW!U-=sq?~3|<{0dh0#W^ke zGxNhg<3;L|&&?NOzcH`)CCoF4HOxCf%@W#Ox{TvJ$2=8Vv_j$nW5q!KF6m#higs^d zu#b5#7|%K$kCsZk-G@1PJ(*(te&JTVK2CbjdX9S>lXo#6hx)s_oYz^`(;Jw-E1EE$ zS8u}1_xf`#W*vxa!OCH*6D4n;Th97X{5uv5PRPHza|K49!fn4}SyR@h>_K>RITpN* zpZuye*&@d|bvjlRVYaUOk%zVXaeVI^Y?j8@QLJdd`r7Og>~$IDUydhQU`qck9&bWi zqvd`b;>OLR=U?nC)gtS4qa>x|7FNx45tbX$xUZ5Q(0)$iZ=`n?lx3+tDy(RC~}McR8y z(7ZU6$JZ+2c%#thb=&>Lj1&7f1~*NUb|!QGj(Mz`_CpL3=w3I2*py_QeI=%?sy z#`qMB>HW6TpAZM7>L`phoGZ^Oc^*dVp{=IgM2MXxTE3KW+lx3jLY(eF?CSg&o=zNJ zO?`M!{TpNY_m8B$zF;!tk-BP2G?%MKIA1mg<8jJkS7G{G^gQalY&6X&4^!HIGbs-q zL-%!U?`ZpweDOD_X;t&hv?h<-*U3+-*DH1oX?z-nnd{qL&Uo+_GCsUJbR6|!T!rT` z&YY)p{rODC<1W^v@N9HjjFWzH$1{%2;{_52nd{y^Jy>Gf`&z84^TWo@5}OrmFw zw8)eB`(0l6Q$gJgZ0|9nJ#hg)eH<~;-|Akzku~V zIFJ3N(S4>jeZJH??HACl1ii}_O8me3jeW65;vn<;%rf>J;Y#+G&M@7N=yj}|)7Vcs zEzxhwKE~OMHi@Q?zdyOLm2!OdC-y;Be}Ce>sqrtEI(wD0i=K+f+8EdSvY78^7wGq5 zJl&U?6_h9RcRBVpV&^hFZhs8*d$!(To{y)$lXWj84*uZzh8{Y9@H)cp(7yrQwfg!D z2Kv2-pbO{29A+Qqy2N%OvDXLv=Q*F5`wWC%bDo3S(azO)DtejkS1h1k+}h|pzF5we zzYe{CezYH;^EdtMtxyZl3_?f0mk}J)JkjfLnS<;n?aR8ad;-0-}dH!a0u^3!RzT3R1l>cjr==Lk5{wy>rCuu$7BxvDD zY+H_{eBl`MM&tLxsDE+@@lnQ~-G!zP@sn;iwF@r495efg{5r(;H@yzW z8T(}1&x+z-?Qv}`j&rdd`wVlu8*xETd`rt`_a=6G;j8)BurId0Mzr_!Cq8)~@#Dny zjRC~x55k$$yAQ@B4t^Vq^@;7f#P&vYF}g1f;qmutdv7Rlp!OI}ypDa5Ez~$m_et3W zQg4o;{dttc!2tE4(Gt5)kL5TO<3y*SCz_Kdh`}*pf9XWZUqg4M&gbo!-lM_i;1_Dfe!`;CJ*_v#!|7@PD5-{y=Pcu?~56v40AOvu^$KeoOvc zug+|2saBvV(REPwE#X1p#H6^ich16;UVlGwC9%Ii>x;C02D(pSTI>A|b2-ii$|IE+ zzNmh!-h=*67_HCa5~_a-<*9ektH8(v3|4A=dkmNGI-+%mz5c}hXPgg{kKs?czW2f) zbD#PjIFIHM&Tp`-nDh5D{p5YE{W%$(p7ggpr1_B0e0g}hJkIPMBidIrzdC6?I>V&g z?H{9F@AGIn>3DnnY98OiL2L44JbxL*w|n3Z%oBE&&LgJ{mvVb$0p2)X3`%rficFH& zeWH;14a{%$zGBMHnJ${mtn2Q7XHhxJ0|s?;9U6(@8|dGs>(!{`a=dVmnz{bPwXA#Iljzo3A?>_R(Z4{~(^7O_ z*Z4`tN>*_5}=&V=x5G zS3KYFTy2*}9Mnfwzdz%D!|U`LqSfoS2e)!wf?qgaVI>ByqFJkPZFGj~d9IJa^Q`Z_ zuJ`_Q;xK})UQZ+JMSod?;Yf|&XWe%m)Aj#RUH`vFZ?49*(bvECglWx>v$ftQHdW-2 z-xZDS2Ry6!_KxlYK1JtQbWcKijQljUiGxV*CVet8H{Vov-_dM;T|qV^bv0Oaa<@8mA{qxx1HfY34FctzK`= z?3gI^!5FkhJ>sjhd<(JL2918cY?2eCo$aGuNWGn^@welp{-679;hE^x)8l+bz1=yE zo}@niQl7tgYz(ifT&<(8tJP>;_rD6LFIL|fNql?+ z_3>fEfzHD#(d_6;c?0#V?!<4a%{vkA)Hr%2vAGzN=kAkve?@bAqc&Ew#c$eUWfy$6 zE9Q3B`d*?f)P38F{fM*F=h>&3!hy8^{#w!1-*>y;4v{$MFbuy}8;qdc1FUDks8Pi6 z0(=wgaLR2lnr36D*Ux3m3}XAjXv#CcAJ3&cSjc+n>UALPZavOj`na#g^0-flP3OT9 z+r7LFQ|}sy&A&Mh<~Nu4tIl|&HExcgQwwu0%#-uJ^9rn&i?h4o#v#EUt*g( znDP(E2b;O?+zq2BzhfNj;+l^QCK7v$e_O8Of4$BZr|bMtPv@Nvrb+wYlo_IXM9X_I zPnk1y9_x+%=(x1=*P?q2O;6@QvrFxw^W<)wKfghDDD$nO@5@Yz*zLl+>_?cdgF|m`A zh@AoYyoaEv(bv}sjowEjILhny^tw*&5zbRkiB6Tq&Cu%iT%0kS-|%t_9;6@scb$hB z#O@#TSMaf}E0q{rPrn9p(5%+@d+q1p+W$+5&3}l^`?}tgp?Q&n<_UeC$25LOV{ZhHTcNMF6|djEqw~*vJ&%{@`Dvl&d8)357ts&yaqX8MHU15Q z<@8&SxnJhF+V5G+Tfx84%_CoeEt)q!>%6A1{Z#WT)Vyqq?nUHlkR-N)G=J~X@>eN0 z6Nuf+eYTbn+ka_0-G7;hT7FQE*GB&x{T{qIsN>)Y^-rF!d#OI}Q#HO-Utcxab^3bV zY@`94YWy;{%XES={!>UnOed489k|5DA{o779Szi!ojJf!_RMDwDT=F6$q z(%%JrG4uJ+pS_7Y^ul>Pa8!4^w>`dhDL&H-v$E0t!uJ${@6oHbPu9aOO)-*#wVL6^ zCfM>SOtip$&2i7=_+k{dwZadt#-X~Osi(fI^#e7&p#$wMY>#JMg1L2YW+N=Fg#``r zzNNBflK={Gu`Z`1kxU#tu6D{2>gU-F5rBSTqd!bi}wm@CiU-l=Y! zN8Ad{{`nFIJJAlpQ17SdwOk=)R9O<56O- z8SOn?pTiT{PSm7!!-vtW;`utOiOrTa@;pq?34hoAy-4$Yb5F{5YyS@IM?Byf zyiDWo2WokL?62()4kA9Ld2v1Sw;9L0ZBH6X{kS1GoN{v;?dm=MbS*zg<4g75$z0zlt>u}&>(tWc)li@3M)hv>akTpPA9GC0 z6T^8u8`P+-E17llJB?qb-aew^VGo+A>MEVb?qFUs`?XyMEicja=t9ig7tJ)%@uTZe zka<7aP|GJWpSpT|ZPSGL*1Zw!OX^cPKM&V&cr)YB7V0=`!T57O)Nyzt&Pf{ zZ)04#8+BZ+Ks#LbXEV_~pz$HbYcNsA>#OKK&A9chip%-+?^L_amDri9UN}!;uOGVY z&`)5f`_(XKzO-{cRex8j(fdNj&j!^n?(9G`w`;st9FW8I1M>&pX(p&;NFfbJ2dS=ViQ}k0?4Z90$YKHFZT{kWh0558l)4|3J#$fH2_srGYSum9Hl)8657KFrpk zSeNl=N_5@rb2a6KP4T@3`($0JYLC-;iFWY-(H$`ulfx-*Jc{^=38GozQ9fZZaq~hk zxOb}P?J1^w-!#$Anl8H6%o6>_W{c^(xESc?^64S-DBpv@lk+8xHdsKr^A?KU+i3PK zlGts!Sp4VvfMQ|*re-dYINF7F@zqOdf7&uJ_941Gm(%XT>%{n9E5t;Tm7+fxQ>`#; zZKXW7B_{5|^cF1pUgL(Vq+N0zI@>X_2hG!%eg~_UV7A^TqpG&nw?^+XjvJg#oZ3Yk z(fj*V$A}ZZ>hr!ClZSXc$$K#T53kdG3H?0v2Q=g7O- z4|-p&_%Zq?aXe4_K_J92V=>n;41RV zyO?}4$EQfWeV9B9FVeiM_N3gs0nPhkInMqu_&s@TO3{{%6Q?%P-E8@fci%)h+SD_IQ0qe5(uo+5>yJ zc(LxMzwAnUv@<@T?dNL!P<`CCJnG-*g+FTfkUqq9GRN2b=@4yyv=jBK^|(9R5r3MC zEm~t`3#_H}iN?fL7hvRM^nPbwpA{jFpNHuS_R0D9y%}z7j7y@pN6+IcZHZ^L#MM`0 zBo_~B{W+b8&(QuU=t%rjYs~2;+E=t6FQJ`%hW<4_Yk$t|OuHXwXRgr4ZPR#+9@lBl zaWmheyIr48gLaf>{@pUokCKZh&$Ur`m$Sl%EsBw}|a{EuTG9%I$SS z&^~=6bY%=$~w)(iU)Xn>ApKCF{=&p@fSj}H^wTSgGqE#PsdjiLO?v0~WA z6a6g{Deo~^{O5P^qVvjB(d)td=5%Gg3u{xj{GIhPSsa)4G5x-r|Lk0e)0fN_ z|M@$pXbxlIhlLV{Z5N9Py>Glze~HAl-BQtg4HMgBu;&Wk*`>1 za`Zm2u?j2o`Dd*X%jaP6E0_o{`|{ON@6X19m6-h$R@PY~^~q@%&PMN6OuUT+7nVx9 zs#O@(`-E0bCob2xI3u#_l6F58+mg!!&WQS?l*=h2Fm; z+@bB)Yxxo^9*5~73@^k$@4FTLp|9sDjDLyg)mX3sqb;%WBhG_=CRTpS`Kx*sBl9rl zT+G++dlxUH9|DWzU(s*Xy01ui#K8gj*L|M;PS(d@1NjgO$d8~eCXbUp$@%E(b>iFw zf#LX3E;uk;+MC%J zgw&hq=$@(d_iOtcphg_?%t}8e^lrHnd+0eFWjOY?!)6YszE;g?u_1)|J9Rt zdmi?7QGY*TI(H^sa5WZQik&*(+9)1vjyc&_+z`ua=dqvsL-z?0;+9SEwRU(;YrLvG zKG6w_J78`e#=BwL9{8`GctKx$x(~jWk9vK4v+x??mi=+N)>ro<{#hSCq&IP)nx+5F z_4@C&%%#322fH|!JZGQ0&hTXHm4k1#!B*WdPaVhkH%a={w9!0kqj~d&=IMKkkKj_q zkz2|*b9;PcM*vH|{SK-Mg5_0=Q;=Qu{IR!Vtt5%aNMiIrEbl5+Q6tlY3#;;px0O0Snyt?NT%SgF((Jc`-pvhMgx zG3UE=QeP8UPrI>L(+Sg+SlOaX>a%k(sn^@`A15w*7wy0e(ysD+%-xJ-+c9$5^-`bv zD{)l|;-vomx8@q+K(Cun`~Y#mEm*DBtG4@yv&%7k9Twk;iMuee3~Thd=4E>Q$JDiy zZ_US?L0BHa$oXhL;&~?aqm$6rF%B$m%3nx-O*b{@ptaEOmu3sB;9OvnLJy_@EDSf5A`K1${ z-U`FUXim*z-n{T$mIBewVG;~Pzv#|OU? z+a+3_P=CTb%-WMVg><(Ft&gu!l&D>VL`#|2T1yQA5x?JnT?xc^o4dk?m* zwtH5e&m>~2_w{ri(BoEfKI{gK&(wB@C=c?rJo7u$O&aUpi`_>0?+nw&t)kw2N{{;o zvAqLLBlRW>>TA4{_UHbg#ppt$Jx8{r(tv zWxH!0en4IZr%`SWkiYh9G@HlrxT`eJKN?BgPRB({9Y?1zj?BG%slT)*X6e2qT8}um zXy5;hUwcwN>^KA~hl#=0qcDekwAsV_VNWTPa&!7r)azS$Q?68hM8W*ua>xaKbDMKBXQXam~O^;koy*R0Kv%EcHqLhot% z*^E@L!h*x(gS`=*0h%8>$eV)USW^qDXOUmo7oht#`InrIStaCW`hD^?d|CIcd&p<^ zW(;%LKbQ&Rd$f@Jk8NN)gj;l9d?(|@`H}GxKf-v5RiJ++rn@oT!m0Dg*DZ`ge;!6g zGCm_^jMror^g1z)O>@Sz-<5qwuw**pqv13$*ilIWf}UNlF> z;(4PfZ_RvT<`0+HzN7Qd?!mMhKale2>fe1R|E)W=)qTq4?TGyr=>5j~x|X$xla2Fa z-_ol+{@M{!d3d}hzMhY#>-({n`$=rG2IHG({!-TurM%TJyqJBA?N7P+PRqLvr@oTd zd^~5GUI>V+Bf6sXK`p%Zv z+sn95e>GR)|9w9GB=bk);6f=ke=^@VIVBQD?qyzbJ2Fo>SL(d=#B!;RU%5hbMltW@ zHf0|4-@&ZO%#S5!FmLATeUMTy=G%A*W8ImT%kIR;mFwiV!8)wc_vOiH%=hUZu{h4U zP__%5ztQAw;PHC@i{LrpoS(6v-t|)N6=U=h40mDrbM!B{LE7cC!^COob?DrP6?(tU z^0gY@gt?Wt^#iPW678KBe-BO8M)`N5*_b*`xnqcP4-u!o!SZ{x{=b;5R;?m73o)+G zBQ=aTXpZHVq3@^%^gKL>vDeiFSX_wJr(nT%oJa3wbPF-w9dlo%9}+KVe>{w?i#f;W zKlf9t{x_CP(tg$Zo7DV9|Cc?Ab^+#JhBcMsOXaOtGa9}3$Sdb{%+>2o7iSTd-J$Dy zGc5R;{0vuNb|bX&mZ(@4?Tn3) z&{mF;*qmA*26yRv`x=_5!zj;DI}GLVTZZ8F!J?git!SPdKwQ)h2j)}0zdK&#Vnf~6 zjBZDKR#Wtj@%L9*9RB%_cWIvdZ+;W()E-~F8Xt5q-V>MQHaUbEI8NKc|c~o5yjEqqA;-#Q$6`RE+5Np8N*PPw5Uzq}hsI}~^fxhohUcu3$5q{i1zlE494^J|GuB9K?!uB*r4mOssa05c z{aPtc9YWiK^`dGMR_b-JP4D&6F7_g3>F3dj=4Ddu2e|bOOn-yP)*GZgX8~5ck5!+d ztMAW)g{+sA&th~x=6{JX-Cu+&Zjj?ucgNhT)MAXzz~XI~qwBo;AaU6Xxb-0n>u!|e z1t()wNO__bao7;^&&A}ATCe+vL^W}7N{{yprnNpck2tazb9!NMBMd*~^#wlW>Ul^_ zCEj`^#`SX!|9;M!9j@n5uL~WVMI2Ue-V4TK$@yq@({EuBRyM=(=ji9`C$VCL_WQ%+ zLv|OUbK6$moiSZb@9?ioTj#(r1&d(Uv z`x`{omU5gMF!Cox|3=$zt<>9%3U8zz!`tXrcPjnt{Z0RSEzr4|{BXySFJU9{$G?z#GS|-G z{8nf3u2^FCA@b9R9489IgdlOoZHPZRAaGl?H$f10cnm)N|GsZ-`joYea}B+6I^)14Ped3@v|F)Usz zCKi;4er?vn$bXhnZdnh*4y=dqB<~B{H+5Y+fd5=~RoWMKv0`#BMtZN3IQ1_ydjFjA z<;+LL&tY1>FIM>+^H=PWQh8kTPW1JAV5WSnl)GPH>fCh_=j!L;_N?_1=gdOyWlX<= zC7HkH-pIUM-H3U+Og}HqJw%+=`v%4PGyiAl-=(+yLY#db>xYS9wb{3Yr$N6!$=y@84ehud}b{FQ)(^xII zo&KoM^)mYt`YU%iR`S?Bs)OMm#!V1m967ypT;0cbvrjPoA~(;M{>|K{ z-b`hjMhfRjd8pSvigsWeyI0JXa{rc@qP=c9Zk7{rTE|Nd-mnNIxPEZS{DHx`#T^Sec7gwEsNp}A1! z`AQ5bbwAK_kvz_MN%sRSb)D#~>qaxy5&wQPw=ARm{^g=uhjqvM2>tCVDA()nMf+HZ zgLxQBqiw&6cDpe69%FIV!Nfs~UAacuMXtld$7q~VDUYtf$ekEJg2_wPN_}z|#*Sg) zymkD$UlMzxi2dc5(EB>Lj}v<*ub1|IGqmSoBwy`}-gR2v5L1_;dku!~bG+zLj8|Z~ z7;Re&_4%YX@%+pU=nvBP8(yDxIVN7_e8g|Y*k7DC?-@OR1?b<$`3-NSzrzyxKXadG z_YKXHyt(pv|GEAwo>_z~riixvB+*P`y|;@Ch|eB^7Z1Q&x}kZFee#OvzW*B^_Nm@j zG(Zf_8HSgP5zU?nVtCd>(LXVn`jV-l?OrUpcgzr-C9^2+$opPTufrO>pLryuzrzae zSs?AqIOZScrbQA*uVH?&X$+S!f4O~G=lv3$-*&Lhd-^-1+|#T)KHPw14OdAV(cejx z=dPAG`(GFiTqAM$OK5H{l{hDj#pPh(iJUg9iWx3?bA_+DKn{=}?7 ztRudD&YSAPdXu~pW5+O2m-VS?B&O=Hp5?T{a2u9YVfuYc)?@ulwZW`L=oDc%Q_I!r zyNJC~^lwCa18yCJ(E^S8Vt#)#?J?_B{{0GlUd~+N;t5za9ldL?&%v{{(0{q7Vsah* zyY(W>`knsIAB^sUo%1qt*2}9LW0Y4kB-p`a8kY z3*>irh35I6$X*>U^B6yoFLb?rn(-Ar&pMsCu5ow)>vZtYEb{r0 znW8ymhUiY7COX;0_|p_I{JW6)&ErMW0E1nlCAPr`tgGwu+|y?B>v}mOSp0zzU7JTz)4tCNcjs>#Ne+Y%J=KMsh@M2 z*XGdfCUq$DYq((^<@$SM(`JFh{-0=H)AjkAMN%F#WL@?j!EpEzDR;iYP}gU_-f}7T zTC06nm&490IL_-B&Ri+6-_MGXhtco0igv3p@**aVqq}Og)F;0|qxY-!#;=ib^8!Zd zlu8_1hE6%A4q)UjEqB*SyZG(s>-+P>nd_uHdXRGWY~o~pbmn8K2;(=P$;ZfD7`}js z-RM+l{Z5RnKyyFZu^KPI)U}vAOUw0n{quf{=eHdrlQA(EgLim+-gOwx#i;II><^r$ z*!gqL3Fa5?&FK;c zJ(-8X_t+mK^m{bH%gkHBTZzIQs>xc?F|GSf{og!J2{%(k}KQ=A6lT=XJwM{kw5e*TstaC^ye*ePh;5tDhSu zb^j2QQ|?z_T-ROybK=ThvEoauZ_hfNxD11(SfZZ`*v$Quo}fJIQ}n;a_|KUB08{%g zu@lSpVzusH^0yM_>iv;Z^EDoVRim-ua?Co;^DOuX%ihAR`Z~j>h$H&F0bl<po+XOag5f& zge8A!4v<$d{ar;>YvO`+BzWk%QznH`R!h4Ky93Xsq zhLqbz(?svPBGLb8su(VxEC#nv#6Q_rxVMjy*lZ}E+zuh`858Yk*AO4+jE7rdaBiOL zBl@++r@P~;{c+-8{B#(eHb%5pjK>ZW#bEJdteS$$XHu`$MdwFMFJB{ZJca3ztWS|gFlexrdR>>}HN>gW z>!dub@0a7F*Gp_}MsGXDf5z~=GO71}#YmqG5-0D#_?_r&*7#lYPr06UT`*FN={qqv z>jtS$Jxpx(quYdXH-bS|jGT<=fOe_BF?<>0W6;z4M5pxrk+H9NK4uq&rI_r8sn2;` zcCo(B|6=+abOJpOJu$7HD`d`NsxRj=@h0cj&qs5Zen_5%=|AWvzYk{qZjjk8B#+Y1 zPG{}!@5zI38rq@ciCM9N{`i~yVVGPdvDNEGyIt8YILFy1n0Dw4Bk#OP#?$d}$q3p{(D8F$AL`>BFqwmI*QfD(i1}~xeIrFD|kbQ&Kccrw; zZeqo)PpXSoNt|^Mi>IxYxGafVCznd>`Uw$U* zOPT(@t8y=KE(Dh7zhZg;YxZ+Q=x=v=k$5wvEMxLj>Pp_Cq zYyvFS^*VCiCfe1<+{@LrSgfD_$LA6k=;sFIJG9+StXPg!=iDgAbM*6usxg#DAH-PZ zbBp=J`DIws0*e>p);j1v&+~P6VdWI8IHK#me(qp;5a%4{d<2zhT+fewzd!ms=QBAC z%k}#SX}u3wtXTV}0eZU6t9p}u&0nego2I|>lV}@Yq>{X_ld!BIMwhLT^HQzf%gE|S zKBYe=&!U=liR0vj9a&&SYD4AI#vAVx`Cqmmq&Rm<^$V| z`N5pUd|~jM)oewei0h0q*r@bV)4L8bh;#Zuj z6jLsSb1?EUrXR!DJ}rMyosZ5y^oF6Ehsh?G+RMN1KY{jjj9-SaQ?-0KuO~SQ6S){P zL%)pIpI(ZQFF8*pvp>36&*Rg2ejmfsmz;m^d5pN2`fQz?kCg7yQl}Ano9VygE84H! z(fN#ikIzNtL-HZW#`s+F#UG$~Gs(*F&GY0}a69`7=M>Gm+3YXusAaS}pFI8N?}8GC zK6xC}Ca*ocezmLD+w&{uOFM5TF%+?a*4rQUX&h5M)BUB&ohp=g>+##cSc zTaCm2j>11;)Q|3mr|Z7n`HR0>e9(5Ed_Hlaml)*4L|4D3kh$)b`FlL&-%Sw1rG>;@ zio{?`F=o#cz0I@4q~52_KZkkFwqf2&e~q@5?k~<^zI5j>f5z)GuR7-}ljAs#G4DoS zWFB_TVt&ri>#Ak{Xr*0F=KFaCt0j(pgSlhYNSt+1sTkjZ=@{!sT)&T3(O{j_m+x2g z{ixB;9jbblN&VIoI{Lo0YSjiQPke?InSI1{tcTHBte2JDFza44kDxt_Rr-G2{IyYz z=QY^GadjQ{L*nQqH%fVS3#=K0RkP9Fj#=Ar>lbQ+&GNX)3T-!lIModk@95)t5|!b(lZT0RnENr$uiy!+nvCTqW3j%jl3BdIs$Y2Bo_@|yc_wjjgZ1(}tN%+s zc-^r&L4W!EFx2<|Wv9}g!6Wo@#R>Y|y+ix|Ow1a;N{(Bm>wfhe0|gq zX&*Y6yd7gdYy1O7vo}k-crQ%0$8aFJgV7m|=~0**go#3pOEC489=`=~`Vg_LKyx>G zH)3o9#xFqkZGAo4FmVr>C`M~zY!v6go`dOEIZysfOdaBUdMhy94U-!<--+|ky@~!v zI2gT${tA!KkM3Yh{X{=US7ET7JaDowRZf05Kanr7q3Hggd9@ys2gtXuyZRD&=;`-A zy{)?5uOwgH#jN+indGti(cU$c@*2ja?K4^8V5&#E-4if#KkUbc5sw~-CLdqCQsWBN{Zp>qC-cLt zy+vF9TH@$X;@_EH+#};9_HrjtetIG8&M6Xoe;VbDW{SbHv&Go1xS0Hi`7Zh=^I*80 zc`wmnGdDPumB9HSnFwe$+W8O8tu>L2mULp0-+056)g;wINKVem^RT9TO z!|amP68n#0>dG||XRW~e_c6M-RLYZoVM&Lz65H=F*?OJC?!U0&FxIqNFXf51)XT~w z&eiM6#P$2(e#;F~UegK-iZSy&hOFrIQeWX=NuYMRLCUMAqO%6A{{11noj6v5TN`hb z_F4KpfwFeQIsGwrHdbpK=}lbL1?|aL(;TZJ7(2-Ey`5OL2n%{)@;CM|8H+AI0l2TR#s=S|qM-q=8BHAbVie{UOZgZ?`lqd5+>z?>*f6?miv&_tql)pKe@>|CfKQoC~uU8Z7 zEuvh1KV@HG9&;;a(XR0v(Ot#-7i^zLxqg4oR5j)Cck1)l+MD>Q815cQ``1R`#!=Xk zc`$gzBhK7sqvaHd-Fo`GCKMCj!}Bt8XVQMfY|77z6A$NknUm*B?A2u+cl37#LB~au zAHeV`-tT$0soyS0kl z#OX=sKCAJ?tED{I6(i4LY~dOyPrZrZix}1QF@AO_kL!%F4j4{Q^U&L>_4CmA4<_%% z#2&N(MjlXK#Mnca*6&N0`-sCbZMP1s*2i**-HXwireaF$^Lku;UCDJC&(zoX zJLkddM_Yl(l^FCzcMs<=rQah=-%1>JFmZ@}NZyN)JWQOAp`-m(NTqC+$2BTh=z|0&&yQAn2 zn@IgV%#&V|LW%vE%%fgc=GEZJnLO@#_A!aN%)=4=U9nSZp411k=Zhx9*f!?%^x8#I z9vQt@jICrHi1b+^aq?jd-dHNJTYDMpUdQ0>vC(xr{Fr~wK7*D2#`pxxUyV8SF?k+V zzQgM&*?`_u3_4*dj+J#Ww;4um;XGxo=ai$L8|1g7JgTPO<$M>siQ#={uf_ZeG4cle zmQJakp`+icu`B3bllgnYjr4nJFUC&6$Qbe?@}uU>ZJ4@A;}6Lzn~lL$=xhFk*OGt! z$>{Xf{QNKZ>fD2=%mpJhCwicQFo~<};)`oXhyMTN$tZSw)o3n!@AiOctGjiNtk1TssDv6o^5a z5u!VW`NG_AE%l>&iNou|}S&@Wm}y97F+T6vw6yXUVE{aesEh~7i0T}i#( zN7+^r$2(dnk90%7KAJeXy1u5gK2faYZMA(DOlf&yoYw!u@lz)eI~(-hZ;#xSjg+s@2dp8wI6<>U))q!?`objLtC4DtkL^`+BA9P-a1*Hk3AWKe|yAz#^Kb_ zqS-{Ang*J;=MSTN&_H~sFW%n=k9I}pN-S=Q=hWLLj^Ei&qOQBv5FuI6&EP5OhbrwlG|1IXh*tZz!?agC#^*a6GYsA&BV|i`XtIWEV zwTU?AI9BAc4wgkR@h>b%W8?`8zQ&wi(ab58=Uvtri;FOP7QM~r&(-p`vHStF4{5pX z19J4b_`x#D|JmQm@#7a@@n|h?f$lFnkJO7;at+3>`2V%~`;!X&-MhP(*PYb^tD9g@ z2VK3tL1Z`QuXq9G+@B?`f3`eIP zdQHfm^wJV}{fQ6AuVhzDFCzbJKBl*8UVe(H&lkw!tX>}{y?nmJ;kg)JLY~JKllQhA zCLU#61fv-zeik}?7(d}+*4wai*sIBtEqbetjw03-e@NscwxYT=e?l_<^GReh5~Kz+q#kzkeKl z!}@E#W&JgO7D{=rcdF=~t@G)R7&K-6HGiqu%*%G)TxoCD&BK}VMSni?y{*4c;^1uz zKUhTk9qWdzwS;&Sy7iYz>@G%o9K-Z7+6`u%b!&9JU3Hz5`@7L@TtPeiU81*`*nJ1R z6Ivgl^9bvo{|$z3s%Kj{PWX`4e}Kuplt_t*WrK5>kl7C^8n|^*8l%?zT^Cv)_Pw5!+G`_>UnQn!s~pM z{%~4i*c;7RY7YJO&-G!Yz1x!hbUSOmPNKhqr|5t0Zgi)U7v_-W$qnj8^2Z;ed9*?E zD#rdUXsY|YxqKcKTuvUkZE zkAL>j*u}%Gu{axJS^H$%r7pt*U9op>d^HcR7$Dl21MyPg%yp^E!lASqI}*2y5#9FV zvHwKM7h*7Gvc%3K82(Wxad=<~{?7XEy~ljy4r9LZH_qa55$3b>SmrtRI*jZ5=lFA_ zUF5&>M9<6@{Rc4^$Gn&rAA zhY9^%VAW*eoJm+V2h+1K-Wzkfq5D41!+lEKie7yz@2T-|UZ?xHzW#Dd7ifGT*62PV zwv6+&wX>ebZJgJFzF4O3>!aTP$w@8FZK4CVPbH|WBb$lQ~pz5;;(uVZ(`n?XWL0^Mz+LbjnF;8 z=XH_GTT4E9`!>9_6MouJwDB16j6Rs(ANBqL=JGtY+dWhap49g>b|mEs3PpDg`O^+A zqWs^QXG6`uQ;MbB88-pvP87}KU#7142j*Su2UUmNgQm)cy%jrvg&=R zzHc>eQtqBRoBH7xYlE&{Zy3Iy^+(a(G)J~Kb_B3x z#|eHw`fh<;}b z-keN%8*~TL??KgZ+`OuBq2uIY^mj6TOabG`ywCV@N3edI$Iupxk^Q@RAK##LfyCy~ ze7t)Yb{Z<$J3Zp1gNdgOAU@m|oA;u8iO!RW9QT@P?WzB$C6?WcC$2`Bbf^Bgq}i_j z{?`s}E1DNN5dX@09rW%gu{$=0@)@~o_u~MZnMeH|v@Z^){DFKi>@$M+UDjuNRP)PL z%{xtWJ^md1$;GmLT=Q6PCwVP#2*caRd*N!$fBO5d$@b*Q-4ECn z-X*c!fnob;5+^PtF9-j^@Bl{N*8E+QbvYb~_L5obw=SByvFbiC!ARDH=phUY>qhl< zm~|`0yJO`_^q$r7Pq0w0m#q5y+12;+b{6YWT21Qv+K7616ZMI0Sn)i@YR{GDUG_b3 z_PNB~2gF$|h)Z)Y;|I!9Co%XI3qR8B_ha}fX6p4Bxuc1lRv3K4>+$zsaseJoYCH@p zugCH~Xg7NwmbSq3pR{xA2~4i1KcWZdr=SkT7ifQ8qW$?k{p~MhJUBWoV*42{UJD&R zS5KDqNj=T@a`ima;E0aD5fh|7?94dzo?+bDhPtkP$#JK9yim4tw~iE@kojOshDscC z^l-r-(QfNUyoz}iJQ1V(tWKg?$-Ff0H6wmG3&To2e{QJr`j4iqWolRb-q*LCiM#g@ z?JwjDlj=?UXfC!G#CG%Y@R6aS`;V@ti$}2CzyiwGjbyv7tgj|x6mgN}w-LI|{-I9Q ze7KVLHBJlirPB%B{TQ4{K6Uq^_x(iK@Bi-8_FIX>K}cS9M`@nElKgFArBZKSM(1ww zy;+Z^&KKr+u4DZOUPeS$AqU%*5OhWb5ypx@)0VU&9bt=H@2k~zeY z+GvmP_o5G=(@$NkwnMK8TD?z^eV^Bt{7_wqrWBp}8Xu>9+yGN0;9h{?^^6n0597w! z$~X#Ypnr(*70zeeg&*tqD`PwcI!?{GjMuQ8uJ^w)zJmvKya&t!(*}d_%#T3tCuFuV zf81U9^1Oo;%rEn=;S!rQLvh;>96M07@8uHLVg0v1^`Tt9FSqyUalm;U+3w|bIG`m4 z7ohhw$KN||+$H(qXd|3)yJ$ysz*jp{zDAD+9_}r1@Je6mKkp~H!}N88nkRPa>w87> z#dn$~UZ)*w6OPB-T6%o+9PQ>_PCJ_C(RQGH!*SZqNp#=Q_z?ZzRh_qxOFx-C=%2u_ zCjDq{$3VY#2|gnZ+i1TZ)p!N5|EA`f^=NzRcCV_NwEP=%hv|6AP#;pKq0!He%;`G* z9Q1yq-mW3GUDUN`eq-E*4{Kg~41-tH>5O~tH0FW*P2-D*%?=Dc)_L+C^TwZq-csh3 za|YV)&?K05p?;2Nz9IITF;Bg1I$u9Wzn;!#eLv*&A-4KGTd41g;`+Iv`CaQTA}@Hg z(cXy88LD2#>tzzh+hSN()%+aZ%l?AB=+s2_J$=3pqwS^f0bY;yn7*#2`g(8W^?Q1K zuv6t(+FlLNIi2=&b2abOK(~Z`@r&p;uMkh&=f3rS=UX^WJrDh6^nW-`$I(5EL;p7& zzZVjlCy5=sF5b~RhRFY5f!`%V@hspD_ z1M|=sB$}Jmn*Axy?S~tBV@{0ip49j8HQN%mYK@Z{W8DU5o+l5Pn|4Va`t>$k-CVS{ zwIhzB-AF!ihsC7aZPpXF^~M@~@x%V29X~(}W(=YHP4u4PILzIELC0ZIA2vhxk>SKu z?_-`A!G3m)6uk=zh#y9K?I_B(t2d99*t~|}lVc=y?;p!{FA;}V6iFPEQEs0eCvo@! z<^FZV&R7gOahw@Ehmnipvc2;<^@&@E-RG(I`|I{CsdxA5{)xz~f| zXG%DZ4Ikxoh7~k@3X0p^Y;CoiYsdIs*S`JzhC)f^6?JQGZcKYrZ+RMC!fa z=)A4gBtLnX=>Dv6JI!NT(biM?8V_N|f+Hw~^+%?VijF+boayanT^+8*+&weTmQSiA`dZ zCpzM^HrTc$w#-CZLp{Xj9iKJbCHcK~TYQam!A|G+z}AULx$E^7?fW^z7xfo|dIKmw zdoacaQGQ0A=$)(U)sN`-tY_ZK`BLxxjp1z8LHF+=Qf`{+dim5SiNieBQSV_idjDpp zF6*xQ2*HH4>0l`hWa^Gq=GncH+nf3 zJsoW?E&q+b9~(%VnvTio`n)Efy%pU8p1-|aU&mVX8}T~*Gqt>ymU~)$5t^@?Cd2r)9BCeH0{^A+TUk; z@;KX;aS*g&T-Z&F6Zf=%QXjO|@$<2cuYLU}uiZy9<70SQFU)6rnz~&iwr4YLZRa-B zKd0k)fVxxi-gi^K9l?Ii;`qh}v+=*Hu0 z@~87Sv0Iney$ro>81DMNy0f%CK=TLsE6C5mx#))&=9Ta|W}s`(^DvC62hm2=j%A+ev2Zq?@qgIQ;S3rl4`-d+q^qOq(`?pMU&|MxjUFoSi?>B%}5 zHbonbw9|Pqmv!2>dln$s{4;QIkO}Vj$x&qUz_^JN_n|n_nEbE zHv4-GOXtp!c#p+kJ7&FxQ9ZwAPpi4Io%14A=y|lk@5J`>c~W0i3!~>?`Ct0DOk)3b z%+=pPNml6g`ukx)d*Way?##u?vTwpT*L(SfSU`|Cy0mZPW^}GY+hLlNC#GYv*tV!>hf&qxxW-;PK+4@KF!(A*V*6`f?9hwH9f}b* z?@BzVBj&ZE{45vGMRR)->Nk@=OvRbR_Atls@f%x9e#yQLTQ$So%`x5zYu$mLcEF$2 z!D`j-E7}{rO4^NNh z0{uMS*+x71TWDw7M4d?c+t=wIyGr|OBgf0`BKp^@ERgoFtLT4ogmvHa)$wwjj?*0&R8b(>DzG6987jnAJFny=zou1!{ze0)b(gvV(y>R zXV)N3YaH9J`_cP=`Cse)s_S+y>3-K??k3F8`+$Z$iOXxE^A4{gV<4uhq4N)~d(Wd- z*hSmnQdNI18^n=-p)!S?TWU4#pzeG>W`h)(>UV`bx z>a&c4>eDdZ4ztP_C)sVVY#rk%(h)QNVZ2r9ed4my9G8^q^+46HBaZcDyq4>I=6tvf**sbW)U>?NFnHP2h#~Hz$%$IZ~I9M#nT7zxMu2wLnRJA^F+7DaBPY}9@-By{&)o2KQmIaxdr$= z1~W$S_?yw(H=20GSTPuY?knRYHZ#WK3eEG~iX{%$VxXTt1WhOK_&?F@uj_5+5-GP; z=N&B2b!Hjsk2e{^p;Kf#U)NDnb^bu+R4F$edir}Aw)`$Bcg9W=-Ip=c>y7Nr>D0S3 z#8AISH|u9gY*x(@gZI#!Z6%K1guZ?+klL!{?_*edHji(B_9W%ezQoZnnAF%lsO5KH zsyn**=$+v4sjG=&`n`kmp8ma3^jBdz8@&Rax8D@2zHbSe^ZLSvc->wzbhpqR;knu_ zH_~3-bF`z^oAz~n=Xk>Tj{Y!lw2sDl{)eld^Msq|Xa6|;ZvOYV6XPYQWE{C$7+2pc4FcH+z$yJY@tX@O647v1VP#HE8oFPnVe z>-{p^FAJpHnNL1(*Nh{+lzfydCqKoOmGF3{R19C8ifgBd@s2aZ$}6W}{zJI?8?5;gj%|B4`yYU229`aCe^py4 z^%eCn;o?UvvHDUxwh)`{#l(l0dL8X|TK_GU)x1ac>)nEh4)|9qENzNio8Z08u|!Sw zBK8_!^-RpKi~BCb-PLid{{4O1`1{j$VAlkWor4wKv9dSj)WVuIu;dHc<-`_@%*3o* zTv`*)sE7IQ)6Vt~9(xAckHX||tZ=Zjg8obYLjNX4Vyubw`!dEs<)4fXe8*9pgLeY#rx=8UKZ^ zGat+lOs&!5k}Gg$A@j$dFiW0~(Rt-Zm}h>~bx2?7Jj`ZZ#+FTy?PKpw5+g&Hw@!VX zzr_>S-_^z9sq-L3JFtlO9rA$pHF+U?cchd%&kq;9&xeZUsv)Ay=_dvSeThHsiMO`H zs{4_RXezOBGg?cYiZ#GDJK!DJ_)vGzF32IisxMaE-(Xmt#6epR4-doVhl}plBSd2g zC|{2@V>EH&F<8Bb?VcD%{NZ@f>h}}QXkE`WfBT!s=gtW7yECXnw)ftd%;URH5l?-d zDTexev3;L)#6PI($`aO@pon$H>!a(@UJM7ZUilkY$08BS-zmV<-5AYeeGDhhw9)D+?8vQ)T_GDa}4-0r)`+U*XXI|Jw zgNPsPCz_)@@y<@TSdSmFon107N8c{m>@H%kJx7d&v|FgZQ)~2oZvVSa+c~tC=|TIX zkI+8xKWLXwe^1x@m39gAy!}9rQ-jBuAK}Bai>b*xvQ_7M&!#>6JUza8mi92&@z(!+ z-nKULIrwK3ajlW~F?k_q;}PFQdzgp%NNno%z)mh^UWHHHxJ%mOwhp4buN(2wKBAj3 zSoHoi6kp62?Zg7n={QF8(?w!(PFzgwBJa9WCrTV_Cof0#lE)LTa6FYbIbG^w$7hJ% z2do2yk6MW{^tdY7e2&D?16Xm-T#2jqnshY8 zZx4!C@Al~Lr^M#69#(W-BHKInU{GtR#915EYRia+Vs-ueqoR;?IC28LeAes3V=#UQ zcV{K!@zcj*Yy;MO689a!dB^bHf3URS-SRkdCw3i()qCKfu~>UD?wf>#t8wfitb803 zbFuth%z6m_T85bmaO?<;b1ll~mZy2Y+E{-$&*ksu*s6I(dpToFz2NX-}4<3*8#){62LgHQ{MDrH&$6hc* zVt1_`Pt5Eku|2^2GnLKQK3)&=8?~1CxvK-d&>ffe!J>g^^F&)u^FUM03%R2x-#kWi z$B{q6Lh^|}g#6;_^#|tk61Ka0k{IaqDB&>jlv${G%doyzonPka^)TVhv*dA34=ctF zU{bHcN!1{4rYbSMVXkbK=)k(<9>drG@^JFf1yXMgu>QFN%Os9mx=6HR(5tmr;`nUz zFIXb6HxHxnr4lC}QBPoO&N35S>AnAm{P_p$5*dadr3 z?Nhm!xf;_+Jobh9F^1=_l4}ouk{g(RYT_>&oA7C**nl#q2;|Xs}n{p z)AFxrm&}*YEyJBtG2<#MJR4Jw(eAN{7-V5$EB%)mjPCRFue}J}t@MBVEc6nL3$vDS zld6r$JjPXOgO0nO7>D8QYANH>Jg4LJE5>iMDTYOi>+m7Qd*ot_j$|H$3ua6I`ETgF zxd#2t97lM1KBv|D#5gZ74?R7P!@HK_bEky)>+PH%`}3ZPi}pD4-mN}HV$+P{C|hF~ z@kH{6Ijni*itdz8XoarXC3)y77o$Bz_rm_-|E^#7br|J)3Pk_@(PGv4bLp&NiBpBrLj z^lP-8I)?uC|HU}S{f=?r+>VjXjF+??S0)~0JS87zoMk`6xQkT7)Jn#qcP_`RiEkON zeuW<2`i$rF&y#qbTN&r4?%%=l)cc19caE3X`&s8nW}(FXEBTZ+94eYG2Z_PSewfjd z@>B;rw-H9`ww8IiwG9?`!cD#L+5UKq9xvQKTw*(9q!^4DCA!DQ5U&`A3GztTnY`k* znkePYA0^mzvgozoIKk8F{mg7VPWWNE)cfDf5bg6ECj`sLb8fHMQl3tur`P``{~qGr%V^DzD(VUsm&NYjrA`+ z5BF@v^fs(GidNTq=k|N#@0Q(($8^2VoJAb5n0!Ee5qCa~iLICp(7g|{AHj+>=s&1& z0^Nle)%}<1aeg22ap%2SUW`@8MP&_$?U%Gy zt{xv$pHH0Oq0?0Bzo7lIU(tS8kI5q3a}!1j>Bn>i#**}Rvg$ZtJLABuWPEt~J29zO z7&k#*jBVF()c}**8E=t~7>B2R?_2sSJ(qEsJ{_Y8#&7fk#hXX`KztzHM}-aAE}N06!Wb`kT~n>Rtq?ee&278VhY zBrgP+nkU+7-q^(Z5Bqjswja?22i%5!n)9eyw%#Rqsa_A<+D~-r^L{97I$Yvl??}q8 zBOm%x$FcppaWOS#f|%}FA_gNSi;3GfZirq_9*+EHnv_ScAWvKUy_4YJLMh*=zoWV* zwn$>{rp4m1PqAX=5{Yf2rD9?|mg?`2mRBy5@@VmLG4>Azr7L*cL)h?U*0st!^eXW1 zQ|PC0_vx&QU0YykD%PKaW%JQIgH88g&Ih>jFz(a%@EI%Rc@$oV`9D#g@jHI^Jtp+~ zitsh!GZJ|09!yTt?YiPVgYH$BD(Cr!-PId$&p2Mc_XF)xIu$c6$DOy(ep%nru36pD z9;Dq5XQT5r{ZZBc3m>PyO50$0U)FcKmwxqsT_CSJH5lXT=S!S?l=Z!^F7D|!SIVoG z%@H&8_jbw~&z87w4(q&o^(=|gJ9M32$+!xpG0x&g7c%M7C&VWT83E{BoPMmie`#Bd*WE z_jJ8K-ILf(X5PBTM^L}Hkn)9Naq4)=cNB~6kcq?tCyCx?lPRyqI`4ivRbof)YZ>V0 z!2W=lY^T@j1^W51S;zVwpF#eLHJmHkr7qJv_XYZK@}KEIUW~nq@y{2^_K{&_V&Zho zuSYPPyjaS;o0f?2Pcc|Y-nMm@QGXbdt(UW(&oR|$g~YLUG1WC8ap5w|eF%eJ@R-Xw zQ!xa?J-Y6^gGpVl%44isfrpuo;NcIj>|;#+gU+?Ak5%ulvj!2TbX||lBo20C>09U= zM047`^1P$f(76UnFUNEvEWZgWx}X=s(*Edl$E>*4kH-q#uCP7vPOVSfs@va=VQuv_ zp4YJjn4zC9Bu5e-Zh`SSSaFj629NdC-zK)k489#0hOsrvC#ZJR?Z^m7G9^)`wN5|z<#%b_8<2G?p z$MZf+uVkDjUeIyh3d0)A3;%BBiP8JnxaaHfv0m>QtkQX=zvt?IbeHtI*O_@4>hHvR z^O?U+=ZR7uzF#cbQRBs6`xrc2Ai4?ignd7c?P~VL^LmQr(>A#0QtaGvm*k(G-LP9< z(Qe2izBylXHWU);?;<2x#3c?FkSAkfN+eF+Fq!Sj$*)0U@@=B;bSd}Rv#wXa-b!4d zzY~&bFh}B@E$51bHOTkrE9Xn>wq{*O9L92gp_E6~l!>0di0$rQEGFhH5%=UR#TLuN ziW9i!an`fL%T}=c-?(pjLgL6Lxba%n%fokJ;&rTl=}Ot|ugR1AMcVP+ zCEC8#Xzz@#=!Z;;vA5`_@-BEx&nt~&(2wQ%y+SHYe^+mgri5`&IhS#<^8n+d@O#Eh zd2`%3gz*&KtK&>Re~Nv_I4nCKol?eUa39AR$tM}V>0KOO#Og4*yv0+b zKTR*@h3k|szMh;Q+Ja&+=sjNar;Qce`~uN=V7M4A8!DPL1H~YgBie~wD1W&H248br zQFcdbnb!|>7VXP9SUgyC4-6H9$`QozQJ5Snnyzut(euYcy?>FrWfJv0r-(MH#}T(o zWBVi1#j5)Vq%*C=fqu{GyfIti)J*cDw_>iuv2)3vDgFL7e2M((ZYJNF#tYf*Gc+HN zpH1gQQXV;DG4*rM*Utx1k1vsOcj{6x@inH4SRYc=Suc`Bn9f`w+r{;Bg2-{=vib=r zw_Pyveyn^QBYIqs+kkZ|rr#svt|G2{8ViqL=HFNmWj#Em>tnXQZ!Uj~@<88LXX$$C zo}j$)M%LT1_L!A}R^P`T*3bWA_fj66jMbmPvZpXqlke$v-(mVg^nb+cw{g$EvFs&G z?9lqPT3&`(`n^S|9w&G=Q(j#^|H#t!|B<=0gEtZ@JL0h)X;=3xEV~iI=je~fBn+OQ z-%g#6F8veCz^Zd@ceM8<(x#Q2El`~3J=#!p($6AABSd_}KDJ6PBICmD~4e=$yz z`x&=xbxd?;Je&TE??lz_%4}kt5A=FZtJk^OF&u{ndYy__k9pi)!+_oIGPSKNIozSDHqf9Jp5&CU{LN>p9<_yF&>{H^50aNTU#KBDi_!ZmXxt{l(0o;iek z>y0D-Rt#S#_0=yf6YY_N?Tw+s)btHEm zex#rKmrr25`RHlJE`s>cx-n~B|(n4#Y@d@+@H<6sQh;o9bSuYPV2{h8<0{vhUW#uE>t ze=qYUwFK>77&c*ECG>ZjlRb!|cj$c6&)d9J#I_Gc=Ad^!nxW`U!02*J4nqGD^iJ}3 zef@ptNL|X!6w1A4wY~=?Zo=4J=6OWF2XyZx4yt}1I)m7MacOIr2e)DR7xI8tgc1Fo z&|OSk2zHPUoMH@WXuO8?CZ*?nMV65tg8k%&NG>{K$rH(c$PhEEc`$>a||IzeKygFNCk7)N~3 zXdG4`x@*ZNCeNe%rGeO_FMiPtkLmG*e?9SxM!V$rVnbWe9_WsReJKBl~ivDvL>2~vG6P`y%j6(K=%@? z(ESx2XFt(D(B`A7f48z5ak>d6UgPK1L~(=fJ-b=UsRxKEG5@OS1#v=AdRm@kPNFgl2NWRB^)iWf0|#*P*JN0@ic zcZCv%helHV?Qqd~XP9X8J`48qAriY?n9p`$Kk6%bi}uAH#JAju{afM9jnO}|wd9G0 zE%1?cc$BBq;e5@@6K6;q{ElvoS;V_B zI?GCI&YLa93osU?c7 zQ{Td%|3ayc%)r`j*bdeDG|wY`5phb_ce{mhGgF^$ zYxMu~e_wY{P8|J{c1pgj?RKBW)zCXe`-UqqSqsz4=$Ejg_S1dZkEQAl^sn*IJrk2L z#zAr~OR-bX@wP&39-!uNa@r=u`SjXuJju*l!(SAKe`XiXecsGAC5Bx*S z3#-@VyBW-z;8l(rY**%&nKnuuZyzrZ&47ITdMNfDOntvTI50+emo`{h8>5%*lH)Sh z70m-(MYmBe%Jn=;yK%6@VdtSZF`wr)!it`_b3LXa^JV+$*I+Cg{RgmO zjmGz5Ld$m^CC=Q7J9lH{Axza?Ap6byx7J@zoc@s5`vXh$y7=5jbh~4is@mVn#D#BS zbUNB?m^JbLTIln-vKFAz1C#ptqiu;ZKB0Yb_4=jwlf-+p{YqDB`}M}M+F1G%?VYK= zR}sx4K9-5D9{2hB`w=nyT}*!q{aQF3V-3*#kp8!Q(A~ti2yQ^9G2 zy5Fd1$Ln#!85pU?I7}^PT*jv{PQ$wxx5>XaK5)O}xFG%n<2&-N39`TN7mf$wlj7`u z8S}y}W}XDA#<1NFqr{*E^T{mEr@Z+v(Y-W}`uzil@9Zm@jXiN*HeRpme#uS58FgFB zy5Id)Y}iq>my-`{AI%RpHX4ZLo6#a?h zEhm@tKByqCx&6p!Lpl9W`A{9G``e3QX<9U=`ZA81BcYkM3(2bl3Vz(ALJp zZ#x`$!Ka8_rxw?dLXooQ_!}A!Y&i&IEAGtcN zPcq(v3XTWNdgg_DuO1Iv!@O~h>v6y{;~5tpjul-q3U`iRzrBa!6M1;BKd#FW%>~`@ zt#+8c3O~x&C3&LN9iqMMPBBRICT>2Ecm#RKA2Cc~FKdJtzE~i-zmUhm*jS03zlx}@ zP5w)CFP1p=CHXPdkh~fF0K=W+({K;@)g;Nc(F3LIZ=N0(+hBCidRi&pxgL|dG5i}N<7P{J#K%ItuUT;Z94R+B=#*gUh{jv6 z@E1($^}LlM=gQ+^`IuFXdvtwF?I5oB0KEXqpF`&`=KiVW?dHk;GJe;3y+2&oiSk@M zpWDeMPPiCcidlMJy5!Zwh2OBBh~8H&wpZhQn0y)i7jdU z7}L$#3~xs}0L!kxbS3Rr{XbZ_8)JH&aYcXPtmzo^!?<4emispSS3VOfiZC?* zWBo9x_XXT}5B;B&z|6+zzQFhiEgJn@=+r{Smv@Bm=8eP148~)$?KJ5puNUJr(gagF zo)Zr-zP+wUGu^GYN(V=z2QKK5sGd}13-p9TV(L$fUpz;)kCkCse;+dP zC9xM`B!8}Km)L~K7ck76C*^K)^;(P%K=S~GhcUGU-9wl@j`4jMeuI&>(CFtS@g2m; z%^0shyBLGf=+wdFkNSMyM(=L)FGcriOt0bfC8uGmGdhcCA8#3^r>lB@8uu>R)#&$x z;hVI-bFMm?{xM@%zunYyX(#6``ZcVMRlnoy?bmVOqT5Nw$0o*&-vHe=8CP}yx+@rO z?(=$_{1)RfxCOm08MpQq)_?m6<2lIW_&Yc_TAo*s#qof>xPbm_&%6lE$|u(QJlkLM zBsRkbiMD!w;%y;*WeiGZ82U5OZ2*&b6w}Sj(FCd?o>LaM%jp5ma z5aiTY(ub+ePZd#pHhU-$Z*!v6P?sU3Sr*q4}`JM2S=P zV@$7)O25GIMY6pfU#!8zO_O_bcp z#`u3|pVWt#SdEU}?>BuNaqv9t?JdCgVDv{|>`D5|>8JhnA^n+Nh2}8*9-prL-w~s0 z86W9C88_w*9Y;=8%=q#@VZ6olx@Gqmwa|XU`AY9JYAx&aHEnQ1Hb%SRv~HsPr6*p|2QTc0=a5HikHN&>4iN)A&&m8s z9tuvdZkxX3sbE#1Y-irr_cMc7zugyjpJQ8UzFSNFbECSB>-E=OX|X)s=`{iMzU}`z z|N6a&QttLD!TxA(nIy5-P5l|e&Xd{C5%sDm68obutgCrF1HC%vmaB)ge2T6IFY9{H zhvNcs4F+}4(cdvPN3`74b!D--N)6DKOy_y)d8_VzVps25W_HbxdROlk<4h+uHD^k> zX^Kua^#7(lY)2gG{nniubi1Bf{sP#WTd1Pw5o!HDpryKeQdEVYV`uz9k>;4qO zS^By^p`F5k=-)>>hRd}*^>-dm-4|S5hqIafv7<2@kM2G6qdQ)`0qqp}-K=6fm?`MZ zXWZBu)fX90!T0Dl)$!Gnap&ErR!4I>hW!cTEhHsr=Y!WIDfCR&aaunB(}Gp+j^+P!C()2p-B&s*kq$UFp&7Z z0oXNHwBwlHrbI31O?jtYY*!h>3wz>+nlJ9`O#D^{e6l09YKO13#g)x*_Z^tN4Qn^T z!woPzL7p;y;-JfSNxmv?gu|}Gt~ZJHewX<5R(Plb<=eCI#m=~nJZYPDCGMf|ojr)R zbr((ho}#-QgJZp@uhtuPP;Oo!4!Thv+)8Y6a%8)pE4nAp==Zq6R4xCYk8EeY@5_E4 z?MFNU?Qo5M&87alfuh@TkQg*X({=#yE!5lFiQR3)=C#36Z*Eq*>*K#7w(HbM=pGxw z{(i_4!#7x$oZHcRW2lrnEm^mMU(lS#aiQN_-Kp!_0Mk^F`8raL%5#)30|e&PTg-`+ReWX?KPzmyX&T)-oNS8?>`V->%~pKYPe+xwZPelgmR`5F{6Po2k^pJtZM(|;(p zJ@R>elhHY;E*~M~ZpV?Le**3B0*M_xf8Guv_HHX=Kh4qhMgJ*|hl3&Lm7w!6x{F8i zxS3=4J9Wph|7VE3br{@(;S1ECQu$eOl<#6>_3WL zFSWmJciniN-`;Uz@I89R(Y!-_*gP)vwiKgJVsL%2lt)hzo4bjFU(r5|=7tHfT`Cj3 zeiJ43;+T91{Rt&f9=~7`+uwqAF?wHOwEASJw~u1{9yDvTyvY=)H+sKFt2(b!9yBSX zz9z=5#NZB$>iyyERN|`lYY~0F=9TH=9>&x%-7dg%b4*-_k$d#{oKEaky+7YWx&1<& ziRmm%H9|9o*X0e>*Ljk5@EdEpT!zWVXus%m^y{jdw4JZO)CBF1C+MH#+33&He*I0y zh5r7T8)rPZ6B(yY)p=l*%me2xokulvUOmS=3>Pp@&F1TA@60P(OaAE948ykgSvOqO zOSIGbV9WlL4;w7HrQ|vL_%Mlsdc)c7j}g@WNuCV!_q~iAP5qfgqIrpY>t7gW`%UO% zOpw@Li*D{jw!fl;?LJj!O_tcZX$s|?Sr5Vsbe;GNjeh?djAlKtKcSN|T^{F8&~@ir z)^}&EuJc=1rxKT0*)H-T28Q)5QKD|csGk4j_nsr$$6m#VUSAs>IhVgzg61hqRbp)L zJpN8LhHKC~jnQW?aZ=06(K&6tJTCZ>IM|NqrCQ$+y=yeq@1s3Ek2$!Bzn?fABYI!3 zh`tW{J+IGQhhdibJni8&Q1$+yuCD9BI@;CQOFMfb(HW}i`tPjkzW)BW*Mt6Y=IOfr zE&c0^MVmEAUZ?XI{U6+*8$^`<5|?=qgu8EES;-hz>1WIOvO>Ph)| zov~>rT-y=HwZoh5z{R&>?dveV9+qFC@nySYK3Dy7UL)cm%|v^TOMIdgPHvB_I#7Ra zH{y3Y6T4l+;FDh13f($rCiiB$COM*8zc2BqKE&^%P4y#=qdC}LV)HBp-=f=>;|#a4 z`k)?fG*=tuv7ZK>82rw5HkZ8SkD}aZOziGLvl+wMV*dborTMa7XEla; zoD!Z->^(nH>it#d9W0R8e1*P2gWhV4bu6L$-$}^T{)(Q1i6iu{_bL7DFJ~MCH!v>3n6B%0 zFpivUjISWhxO38sS9d1bu8eQ{E%PCGTIbuezVbTUt9y#(gN~wopbhb_P0;&+_Y)sA zY%QtdXBYc*6>a;T_-0?qza_u99X*NN_%OVhJQ?Kax_=${)Qlz124gkvHfH^IKN&BN z3r;H*o%1J%rcl-Mz5IvB^WF=Sq~2dVneFxWmi(rrl>d$1b$3bZ=IVOC2;C*qDIYWg zZ=5LxOVMvWOJb|n?Zg&ZiPJZr`xyF7S^t7OOzgzer)X}TBae≈wB*dl=W_0cX@) z*)DQFI*+6G9l96IlX~+Faa7msJq?rk zxkD_A=a*=O{yn^&XhRJ3{vozM?GS9Gy{e9v+@ERJK)>JgchTJ<;=_hB> z6nTDC>$|y;{taJZJeU{bQXig%_AJJYy_@l5>x`26;4Q|RNi+WJkzthQ4i(LnLvRP< z)_OXQAJBEVG2`1j--YcW?bH_7DvI$lcFFuWRv(u%#f`0Sa0jfZ>*qT?Bo3m?Kij!C z_4{;Q4$hU>mg~HA^CWg#qpiujcJD`j8|&7o`^T`KN%^AlFq-M=Pa`Ogjuh=uRnOb- zE$dWpD>|36PPw;Zu%G-BG~<1SpTzJJ4Em9$%qQp_N1G;(+3{LmjX3<3$JvG&kHFw3 zwhRBJ-g%C4w?5jJ&{SxwzaQ=VquV94`~vc5a2h&ikYD`_;_zv<^Y7HhU9Db9y_cu^ zc~)P~Hho@u(Kf*!)hyi++_4V!f=ni&R;Oh>?ZGcUdE%wMl31|2+UPgBhNH-~eGH(;}49(T(a(M-^F zynMXG!JBcm+eH2jUu7MydY|U?E|GfweAaK%nEdabL^sCzU@v36aJI94xX-d~d*8CY zgjef2y$%zLtn4>^`fSlD#q_yzBu)&+)Cr6)V%;-GbRAsBIvLmVv158apxAr!vRJ9VSl0_%WVObP%R$V{)m!jvsh^iF?pA(fE7XA*R3gVc(#= zqVqAKpI;;<(Vp>R+U{-9)#HfN_w6yr?cJY<-80dtx}U{;#C{=v z-!vi)2kCYh`n=j`eG|%E-QIbH=WBnW-l?vS*X!5qKg2f5^KfFs{+n991f7m(irCKI zsO6a&*H8_bTy!R*I~2XsSvS1P(EXeJc-yJ>%PF^YwSGJ6j{CU!f@;P}`#J9w(T@Kn z_HP>}vDt{h*Q{&)Ijno$6X>7E`e-{~tPH*9(0Pt^IQ0U?^t!v)=_Ty{R`nPiY*zk>euTQUxu1B@TH2*XP}*?;hl z=7;BUiHDL$%s-l6KJ6&wW=b3U<3>zXYc2U{<88RQJ@)D$+LB(x%li>uH5iw9l-uFN zD@PDN$MJ(bkK+dSv9Z)&7RUG0&x<7v_4EG!{qEKBNmA~9GMW07x(=Mi@k02S9xp6l zy>PQ;$aapNf8>?1&NzBKSL$6W_5K7sPB?###Hq*7xp=O`34MQ_{#fH;*1JG|&&laL zpY5uy^T}krj2C0%1@yYGz8d`UO4^sLyK&n%gn@39lm>Lr1SiGx|M3ydkeU@h0uy--7Ygv{za`FGww? zJ>y-`9-*CMwb1KHKX_~DA9vAodA-5=^k1OoZ`n=sZg~7M|HUP=PYc%fa0=ta zyNdB+ULVK)YBIju?z*lQ6-c?M#dr+54r9Ohj8~f+Nc?;sY^mdWZD$@AYk|4fVC1r0 zGC#W9hK1Q;a7!=IUEB}#KJjj~A#68V=j9c{sQ*4+^m9jw;d17$r|;X0-apQ%y3W%l zk4F}f4~)Lwu}SiVIY}OI=95>P?&Po3*O;uje}zAlzc=JAF{al)#l{kcIha0){xg`; z-y@EFqxE`zuJbheOI}O4cb?Yk=d$77)JODl*g(&3PHR5*j_LFJ1!H^F=g_P{`#MGk zVq^vDhkFxx?J>9k(|P1)uRkW6;HlsFqTR1l%gEE|1!&u#dk^_KC{vqbc&^5;($4WG z)j62RM4OMXvFK0N`WG<%1EwSh$wdmHx#FMm>cO9nJ(vD$$OwXacBj;jzA^nin&tv_n^QwL!FGeO{QqPkz zqcuP7*L=7~*QN7jN;}%Z8Ddy{y69D7Jqs61pUq)VZPs=AhPJVPZX?|RvC*|fpgYXf3zmw=Iu`MQVnt8pb zzo|36)*g3i{=B3K@uBOm(n0eY=V3l|%Pz^Q)0?B7zhpknme}_0g#YPE{k9nK59Hlo zU2lnl&V4A~g6_Nh+5UC%aPU?h@gWSq^(6MsAIjq*!$jwX;gqkU+<%I4f0)+m_b=v4 z-R@1TKS^w=?vwQ_v0XvFw+%+fe%;o@Ze8MFGqIOTT=jip=(9dJjSA#(M&FNk`Z=z% zqfpAjchUO@Z3o^zgnC~M6Vdk-ZS{Rc8;vi}?MCtb!_jj0Dt*6lE%nY3;^1tKJH1;d zH=k*}?$RE~1 zCFq?sTjIzXOrJG}?e+fUQN1rkO3w%OYtNJV*mz7X&^Vj*Eph}sy$_Y6p9@AlUm%b3 znl2RG?ik;N(W?7W==+wK{tmCRu}roP-@x?m>NgnOsrBEX`IP-7HejkfMj{w{hvyL= zjVXQq73-$Y|0u5~F-l*TeoyKjoGZ`c)b;eD)$c=7=g?m1_1ca@(RrHojZ8&nDeHDP z7yX~;k3g^Q^y2iBSC@VZbEe7P369a9o}Q29=T-HyuJ3o^sr$ys_HK%C;+Rg|Epry@pF*pFCZKLIf+>RO4)N6&^4 z+t2U3-uHVve!st-kN3>n-tNqMXZG4&YaG@Qd-lL4eXXWTHgVGdR{z=v<;~^%KRKMZ zI`e`l7)iS+qpa$g9O@6qd?LSJ&=Z+w{CmgJZdo4fx-t)$9b6}v-%+3E+Ip`Qs`qH; zRGUP3Ck(F0x3Qik@wLQWiNt@SyB__GsO9@g?jB;(S8P>ax96NBR%>N@Z3=mwv(%gM z;=NKHnr!QX@u&u(la%=M6kG4jMb(n|+c}^4+?Dq?-FnRT`gPWE{W`H*!TR7nD(l2^ zvTjtdUh7{mI2*OkqdvyS>bW*{wqfiJ)-^5nISPMF99cZywlj4WScAnF&Ov80MpOUi zHgqBF<;d|DU?A^PMjoPHbv`B=Vel~H5lb>Y@jjw_9;@DFd=vMgUnbXW zn!Iq!$P>RYdF0+no;kNnrQgqxm+q^aUnX6y2PWj&dbMd3?e+}D4|-ERy91hPc%WI9 zonM~oXEkev5g!~yynP(jpJ3HLPNM#fLQFD0s`<>9=E>Q%+_^Do4dnil?hErMPtLcR zAq%aZyU40fGLNg#%^AI@+H`_s;b;j#r@HaD$D*qcAC-^F`7(((YwU%KMR_fvms&Yp8#~NSB*! z``{jo$bA<>>m{Cp?gapx{>%S@agBSJ7$V~=?@PN&8GkLmo7HQ{59dP3lh>Eqe%JE5UHt?3ub5)h?-p9s-U8|u%6a*TOFU*G_0#f*U(Cf1 zM&gVS)K`m$gYjg4tm=v1Xk3tqrA;t-!x1}geA^c5b-}lKTg~@<@acirZ!q2 zp27H+SmulWK_%s(_lYY441Pub4a|66l*eTpAEPWZeE?9JTy@E7_Fsj-Os&w-Y)+e)wZh z%li>(jce=m-{Y<3{9LOaj#$;w{`hcLd?*9gw9T^T;niL6^#N9MHS4%pI-2t2IIDjX z^Mqf?yrJHedF46QZ@q68?fNlK`F}Ehxu3{4>~Wgn){bpmHb{P z^}o5n3D)i8{i|(#ydU#^{56c-&bp9jzs}Y>>o6(*LmoQDdJ~%`>(Pa>UdiWzUTxO5 z&|-|r_jk+^)63>end5C-SM!U_LN6y0mliC|{Y2U6?;i3$7c~p24(h*AGj2;-4L{ zXB+hYyWdlKI;2oub6{-+~t?3>Y)KRgzn7-x01xK^*(`ydxKZ;s|`&rMOvU#){y?}P|Ij28u5#{$Xue<$= zZR`zW-ZvSn2kr^hhh#bHhV#e@+b%5sx9$&M-KlJ6Y%2;pX?8mY43>G)uV9SHG82uiz>uj{;u{r2CCB%bJ55?ja zvGfPr+2>~4E?q3!POLw}iXX9j{wCY5Y!mLBfZ-+R&BI^=I@`pfSTPcJ%KsULq+P{6 z%1a8R-KAK34VIVl{N9V0dk3a1z=Zs7a>kDwPxLKx7huo~Gb-p8cM<9VnEN#SXGUS# zpY*eS2>mmRM@atPB=jodRW=?g0vXS1P;F$~Gt0?`SUGuOqHkG*H;Hl|$T!Q6Oto{Q9R()UsK9y@#-*G;woqdR_ zuEf8)W&Q8@Y_5!0)tOPmmyRc%oR8;Ewdxfu-jR85Kl7t^ zDf6axAM>a`aJhY)llt6uCG&G=zOm)eKC7+aDvU?h*f_Cbtu-mXclUM;c)Cd)ZFt|BapZDG#s4SPsTJV4^$ffc=fUgRzIv z8;-#b9B245Io@5EdjBEv6a5qU5X0lpRFn8=`cujO$A`0tjr4cWjed_^g3(tQ7bEXC z7`Yx$&oX}QP>g=T_{JxrUl-k17=O17`uoWXU;dxY{Xp_251mT#$-5TaH&>7!4N+~8 z{5vV@dl7l*bs$gu>9W4RN&Y(Wzjo?l^4g^SZ>8D-yIp-Ad9T}Z9=JELzMCvLKQ85b zQH^KX_U5l5>%ZUQ}F-_w}5 zMWZ8j-M+7b)okg3z4}}I!!kcSJ%V=fxq;5hv9Zp}!@e%DHy^Jrw7Ms!V7sYS ze?^hii!)ETH_Rk{WR}%gHQVa8Wc`l)h^cj49bn$`ew}aI#TD~nQeKCf!K~*&r^U8j z{RhpB%%`dUEsbY0&!+B|82*6u-FuJqJvhp|oVc9%I@#UW?SEivF4%12>?W8d|39BRZ;LH2?uF_g z#_q<7%eLD3NN3E*!Kzy^Z5ak{Vba-V+b2Vq)(GQQW4JX|PQdb;G1tY|MocTfs%&(! zFkBrYzw><2kFn?(jOSu`NAxep+`Sx6>gx2_wSu!+dJpYvKsk5fzxV=jom*u-&7yY zL$iM*?b>nvs=qm}RS?Ru=XtaT_85XWIabqig4IvvTlFuKsZYJmD4S(t?`4^{rZS%e z(fPLAUB>+9E?!K#&BZvB`7^kM`BZO}dA9RPTkpTlJRF~GY#i&%{Ox>?YU&zWo;;2T z`JHZDKBxBN^`iR*>qP4Nxz0E1?c*YySZACH^yL4|Q}2iC=UAV@HA`qeS$rO&&2P5l zsu6~YCB6;A4`A>cIu~uS?M)a%{lvlO=ApA5^>nG9EO7+GjW8zfV0$ z`R2>_c}=x()bE&x>&Q<}KA+XUu^#xnrrLU^6PmfxZEViYuqrc?c=v4Lj?Dj|e>g89 z4>13$D>z@wp#`>GAm2}Qx-ZF$ygg|Rl6?s5F?95l5s@(BHEFF8s@dkvh&w3?XaQDcd7dYRt~28$>Dg_C_FaCY97zC>ib;E zH=?;OpZX4kR=;2}@tsqMpD)7H?;|UxQ$KZvRkxW%{KIUk`ky&gC!h7xdkA&+xwbs$ zEk266(>&TY6BX;Mt|V5SiT#Tg*mka{@`%+cG<#T=z4hokkN$m&?Bo9L?}iFlw_SN% zZe|hd=fpwipGD_A4ECX^!FsR47@U)K&k}prEa5ocCwAq1QgvG5GI`u1;#;V`Lhrc5 zyTsb)%YBN?Z?YfTQ71S)_m~{#5{Vn5`d0d*A1b+@v1(1M-;sXpCjHqJ{oiC99!94E z-6?2lp)dD2cKb12{z1mo-Gi#WjPoJ#z?I*7IjPT&8P6Y|JkfO^|Z+mHUEl4lo4 z-gPG*b^U47e>2r;s-sSjw`!8)?=>}Q}-b@KXbpGwE9Qvd7aq~AIQSCJ*=jzuapla z{(czVHj47Qa)?KavFd$!#O2IC&I#rtzp#Mv0h4K0I>oB;r%}FlhSi%t3vY^AV>Rbm z^~Lk7&IcGxTVUhF*J6W3#Lr;(qs2B(-p%|Qdx7ha*a*4)Shw8PhublKN5(Lp$A_$9 zJ2ja1cRqsYnX7GiFdxh1|C@sM@mbR8?Tc4eM>Y*gT9@+hF4= zc|BVxuVd4yvA+2^SpE`L=@Oo2J;oAP)$wLqZi>*6_k~O4{aydk&9*+V3`2V{b{aFA zuwF-VFmx|EvaSao5oi8a>c7Q|UR)QLX;>n!dw0s~US|#EMK9paGSr7Lkk_YGdx+Dd zKDwB=RJQBSAg=sVp8qEdzlNoEp*IWtGaOgyb$ogq;>xpJXGEXGqC717f__WRkp6q0 zeoZUI^uOr;;%_nOh)KrJABN?RF|HL=jCa}tm^e*7=&fiHsjQrUyth!?;LrrKj1tFE=G6nLYoKLXnv-Scoz(rl zUhhQwUO((H2zLy|Un6+IaI5)dB;GKZ@@vNs4;hDhQE8b^?_qv5@1XkJwe9?alW0FP z->TmzAihQXg>rSg(3Y#M=-)S)cJlh&oSMSp)2C7XLlJR_#J8imLDms1>q=WxH_oK} z4pF|xq`#VF%l(eC*>0^lR`rU+ml5lmBz|7%C!lF8aVLov)6Rch+EruCmxH0{!n@T^QhyDio-+!5LF=M5^rHso*lq>mun7Uo!RWgqE$T*IZ?OZ3y zb%1Fq?Vc33irG^cFHNj2mh$eD`a5Q?9=vRIh9}Nua)u~iK~kbN#5p& z_oDx*+t#@y5tkV}^^Pw|gKJBh#zKqEH8QR8mM(A>x zSJSw@aKFRU|2aBYa-H!5CNgCHzLojBq_<&z9OnJvaah`VjV-S%!Jx%j+8NB2_es<5 zWPK@d*4z5*;TY83VB@lxSln`>jngA&PGNXpi7l_Z6|>WBwsFQSs4v@OW2Zi*t-y%9 z-{IBXZ0mPUMO}dAIn3^|#nzX9N}M}{I6NJ9%KIU?hlxFTUp;*uaoQRTW7fKFGLd$p3nmUq&34_r25umi6B)mwcSYb%6T|d1@w*w?Q|q10n~=>u4|XJh@-;el+Jnaxv$HW9HcH z2dz0@{Qfg-tdGyIy4Os%dUcC%+!X4w(cE81dF=wLQ!n2dTrJ#FQ8gNDA7}3DV^s@!V~g&1d1s6@M)Mo5cfM?%W#^scVy%wE$GTyU9$2p@ zUYCuv24T~oIEeYq{5Z_U=3==X87FocMfs^*+7~f@s+D=fC(+CwPrKpFyZ$WK#(Dty zGbCO%iSoVA=~eYel;oIA?v_rvVRYt z`ds#3UYDw8(%(&_{}+lU z`cXfpC!XknS9U_(0hhOs@|KueA4^2%oLq<2qC8pah|PfA;bt3*j*2OnuyH82^F4=AeDUZqaN+jNt zdfw)2XKEN9mbhzE;^J2LlAIsmD~U@k!ovFK|0w-bhd5dtlWAGDzb*_Bdq2@GA^jJV z=hO0h-%3A?l;apF=jjDm_VK1|Z`|0Q?LC=I+>h%3)t2+!A2yuwlf!8DhuZL)b&CzQRbVR0$c7qhUTS08#^thQ2xVIs~$4V>ONIuHOrarf=)AS?5vmh zuom;9lM$u8d>>AKJlDp_?=jMQ9@_~pe%pK-M;4%#|GRLfGB2CE7TWrFn0Z^B!^E=1 zw%pAx=JCIwzJU4P>5ST4M*RT{o?32W=UGfnT4Cd8Th^862G*VAr?UPGXMHN^j}=d1 z^kEFtTKo8n6&RU^Rr39;;x~xPUqR<>%t+wQPq6qXW`2%|_c8ZJEL)4_dkj5`iFYws zfW;FrCZGG{-bidJ*k5NH7CD$W$#Hs*VRo*Vg^^1z>~Woz-3iTV*5k-#Othl^^t<$P z{3c9HVH_gGOKd-d=P^#nbBv!?gyF4>t9J+EZ4NX3iJIt5BR`Ud$s6}`^2t9)zL_!N zEb`FrMqV2EKN#;*^48B~omQ`r*Qx(IH}{bD!6oQVEwKCRJvzy%C!k3iZ)5+GJe2$D z`|`VZE%(DvCkEPjbz+FsT+)YlM;E+Z=EFz}VkPTyVZ$stuheRb-*?3ydSJD_7#WPK zhvM9b)zlwOTr`R}J{qg%VjilqV~L05;SH>N`U^BGCQ&{%->ScscxZu*mApUTcPS*^ zjDE&s;&oH78|ts85|2jRtBCkcDgQ^xdsA*s5}S^q{9Zcs`vUzS+x2(I_WvX1$o9Tr zKl~3-ca!*S+23xczvg&!6EsUXUUQi^P>y>Z>edp!Kau?(Ho@w*qTke!@isQ+#!=s& zepbz;zvXqLYL!F%`;3$NSjOwwkvx7b<7n25pxxeKl)uF|tHCn<$K|@=n|`!=p+A=P z#@X4pSL$EuL3~qB{6*sWnZ!!+t-K@guFkl!3#Pu8y-4!&Z)xXCeRWN{s_s}J@ebLa z@8tPX*OzZfd6n$vuX5cpPL6Mf9N#5!+y|vUK0mb~92<54X6 zUY&7M`Ql;5O*NMMk5g{GV4O_{DgQ&_$K`PY<#Ai3{i~?A(_XcaJh@aJw^7<{mB-Bx z*Rp>mD*O4gk z!eDa$0vmh(uG27c%Y>jtXVomm0iuuc|iD}ENuKd0$F_Y_w#0waDeWk7U zH>|QoE;H6#`8+*iIdO^n-mJ9UYFnQ+3!MX4_B_T;U~u^w+b*LMMmmaJ(UZ?*GUR=f zSPLna>lxLUxcoQS{&f<|c8g!2JZ(R!V%(`Q{tx@T^CNU##>hdelH)0#LY!F-6Fcb# zXAHWJ(?8Mu=rl(?i~fuD#js01$L0S?Lh?O>u-soXh%-LU85u9RE_7ua)kTbFXw4$q zZ?R_?Z|_~kKe!X)avkayN}gnqH>%=>ESvx8Ag`m>)wSDEK?c6k$!Z45d2yr%@x=aC ze}9Dd5a)&7IEwOXa;)kzIUmlSXk+KwNq7tAgKEe5;Qv?7hc%oBPU^bmshMo21=l~( zEu05tANnuJ`7ny(NqmV(xgVbYEXNeIKlH(M{qXkzI8?3^mJcG{I~2boHg`pcFOvEfq`t9~Pe3zt812T(^~j~P zGn1v=K53`L7E*qVm@VyVOMO&)L6r9&)m8HRt~_4{G~dd0R><=&l-QB_dq&v(GqZ+c zSjqr048*yeM+o=!con12|o^5q= znCBCbxs+F%XH9ILZw>8TU^Uk+q<+dGtG9WvHCBa5x!*wS%O$ov@gnP~`DB@m)fBF~ zoF~ytS!v7tI7Sk39XE*UyOIM~B_=*5_A^)8$Az|`iDC3Bj2y${#axHF=cAJA+4Mfd zX?w8rZHcd4Yqwh-LRa2*^Scpe%*X8ESiBHRXJdLU8mZTsxJ=$Ri`6EMe9ZF|4ImEp zm-0_2j~tQxc>&9JVR~CElk07>o#RvwV(~IjzW3raAx=L@zhy3zeyxLP3f;!^dw2!o zV7}lw+4-DtidM&PL&h;ajd4xf&p5{#U?AUDk4~4o7)hRl-XU)y^7<$tzXMeTH&4jI}27xl`u7a+z;#9V3q$ zPrZCEK&4HxvA-vu`dYkiq*_fOUNsr#5SzlOw67GMX*Sk(PPdv9s6U%QyARQfnMqu8 z7VSdld*YVa)DNFyRezx0Bx>W}AnLEst2>wN{7LLLAr9_CH}$>X1=3EwN9wnk$K%dQ zy9Q8?^3?acl*GLxPy6K3E|2xm zd@JkpEt1dQkl&`9_0k*|#`YSE-=cYIIOQKmTvr}fDe;RD>QBh|vv&~jJ~8$F(nAv8 z)Svnrdt>T-$Mds@JIngJr!(>HHh8(1kxra{!x4KPf7ubE+G=`;_w}QE!2q1ie4#!Y zW@9~S6y*b0k5z>E#`I)e_9nZw-rF(B>U+#j=7z~Oc6LqW@$x_RUd9Z{D`#2Fe^`%0 ztC{~o_c1SO`TdY7X5Ng27uxp8k1;WFG4T)Rn7V7?B&%={fV%rU+QwYEMa>tNbd>ug-n7yVGJ*Do$@=>@Ku|6z8kS*0v6Ag zc)7&#d!uANv6_wH8?ap5S%bLrJD$&f95c3H(QW88#nRL4Z}wtTgE2GUIOC6CW><;N z$MUiCi}ybLmOT`schIk8i?QNq`n~ut<5S!eqZeY8TrZSOXFOv^8RyvbXlgV5vGL@E zlh1nZ?3TRwve@>Y*+yO&`QBFI-~#&fJn}KIg*Fdv{xX>QL~nGOqPZ^1p0{T@VQjF~ERlKUB=eTqCi7skNw!|UR*3(|x+>o@ z)Dc-9-OKRfDNo4% z!N=u3$*E%B>7zx$Nz-%O0l zeK2D~h?4=w7fJmueFx&?br?THf0)%69fyH~dItR%9F=~pg|4Q*bysx%T49e{|H*hb za{mM~m)NU==6%M^TZj5O#?w83YLkrbjp$S`?m-Xn&tm&L?xpCQAWyuJk}uby$&vEv zQZB!9GKa`7|9A4uJ%+&{aTuy?==GHHa`H5I9aRf-*O14~wUWnC_1SVctmlbl ztPk1c7?R(0s=W2KeQ}cw)=&aVhi|lT(HPdJ^uw6+Znoua2i80N1NyUAC$n$dV(U#D zL%p}!xbjQPmisVxEpD;p-XJ`2QOw5C=Gc24X55GV*O;h#E061lS9ZV?2AjNqm9Jsp zFPK^HHv71WENoYV83pJ>vB`9-F#(s)$2|k2yfv1$m2%l$^lzT0_&Q8^gew~gbt7}aR{HEk9Boq3LND9%D}G2;_`i*XBm z!#HNv#Zvj5RM~PF|D)tXvO4bUw$47EKajl99{H3m@4Li4H@4or3S(E1hyVURm@SX= zC0}E5AJNe5p8P8<{t~1oLWS zr?KtgZCBHNKl(SVv9bFa#@@itbk<3KJDSVa@%Xi9Qui@#wBD8{CZqEcMy}pK`9zFO z#pHC1ypN%C=yuvj`#cPXQ7u5T2i+JZR!Q6x!~HRI5h}SabL?@puXkf~Bqn5keA&;) zLH1j>MpXxcFFD@CVvOcsxS4p8{!tS#9>&;T^kedMj4#Ka1DY$P{9PG`2Qj(?osMY! zVBErQWAX^PD^cZ3d8WkwaD8EN(3k5u-Jk0W^(@yJrUg2`EVun`l3Y)iz3675dVuQ) z&zI|mU%77ZW}tgJnn_$I1f$R&v54(HyU^-nVbEoPjlJ3Ar9L5fnv229bE&UlUH7ul z-#v%zZIe9zd!~)m6v_Y9(`>BQa$czLRO*95tN(5R^>^e`{$JN>;+$WqV-E3ya^9(t zv>Ow_?!9qCYjiI~r^%83J%7!68s&fbRGncqR(Fq}d~h!Dyzy3D;Syg~U=7^KR(Dkq z@unG8{WJ4SQtqp4?wM=Ly-D+}&JfmN$78-qnqpfX`iylrsLlGDOlO`88m_SQ!4BrX z)xPe@t41_V#e*Z{kr?`)aU5c-fqkHJdR)fh(RN%#1%zWCBJ7iBWBRP?rf|7 z>l~}|eAMb4noGUh7tveEdK&CpV9V8I3$6Z*i>$7^ZV&1&=5cqRlKY1^hgjdel}l~C z*OT=>Xdu@Ib+}&eR-lsiFU)sbSGX$!JP3l)7#{ zBXJpe-(a%F8v0k>M@oz&_V34VF~;{`uoja$F(K_dDUUr#xp@?wnk zhcG%x%Ac3=-58huYjYkXj%>ovEYx?RlJ~`8_Yr%;Fe?8?Vunh*Rg~?<781L1ys8Uv zaw*2-b%$C)?03YdLhmp7Q?--&4~Y|NQ1`}2I>u$(Ll+Z!k23!HPE5UznYd2khUBTP zBR)eOJA24)*O2$RJqF|DdU!tPhZEy`(XYvMu+RDA+$N^}_hc96q1RA6C+Fz};=p+} zUjn(0QE)lux4&wZE!VrJ?jCvMNgO6Q23ua39J zU;A41)5EOh!Cb39YJ$}{zrgAqoNP_~kC!<*!^S$BdDeM;u8qy``IOgS9oEa4r{gyl z+j4(9^SRfabv$to^L_H$m9{=yz(HdXkyBp6%7#z~i=HY$fZH z^CGa}%j=m}m8;jkW5xMqy+G^@i&b zGp#@IgW9U@&BDx9n5=<8y)1j)w`z^|cg5ztF?*2Jd_9c#&ubI|2BqpgT~^M z6a~a?YUl zyEtem`+qyS@;{+k{_j=G|A(3d%V~EXrq)3{PS(SuT=!kTI_ageZYoFC&q?CD80jeM z>;&-%3~$HSix^2;ZJ#&U5W~&TnT^q<=zoI${%+N_cjS7@NlN(}sO57yb(A=^0Hbp; z=z)<;)E8p>3iN#T%a#39Q;Flv(0hgBb8f=mWBNlsP5+qlQJ{m?6_dqhQG`3yQDXhAf`M+F# zKa?TA@5v}$W7`#%W9eAdkBkSg@-xhgtYdq3p{cgs#^v46>xCuTFti-gzr>x@H`w;2 zoiP$deH}WjF=IN$W@2I;8i`996Q|X~qVL###;=(D8Je3htrZ5ZvERA>L0tzcYGPWP z3J@U{E(cXI&&BOBe znbZeQ%(UBc<#!?G8Dc#a)yx^T-kXm4jI7s1=>9_9JHNATdw-&ugL;6(`zG7%D1}~W zA;&Qnox13bFJOPZ%BQ~1Bs@G3+l$BYZ0t8hQ+?*$@PGG zU;yp!?n(KY-uPq>jCaEWov?mKT+#;HU5{1gVM)y_d;MU(zjEUS5t z<2P6KrTmJ)*c;6O`cJhVY0Ldu^t0+dj(8E{;Z1Uh?`FILdEdytjPdrzOtJOOZRA7H zpS%eUlSj^-l4sA6m;UYKv98Pfsb52<{(QTg@Ix4k=K51_XFg5NVm=KYM`sh~Q><>W zeVjUl;crm?!}%8)Am`XH{K$SzKg+bOumc}`F&|zw(ED1^3LcR_D9L@QoWDZ@1)E--XxC8e9CeA zgE4uW{_rBwKe^IxtI(JGeFaa^&#_ASJ^2yi5UHF;|H}J|(E`RRY@)W@UoP|0?~JeR zjHVak@85~uD>84yByWCVK5$-_yn2Q_Gq2^@?V4}KTD8vQ`TvwW%@|Jo>q97?pG~~I z7jf!$TZ8HlyK+CAdm3ih^X8zOm!J0_Hhr*DKioD1mkqa?0b<9|ly@FQ`Q$OU2-WrD zsDDTtok#rH1ROTesr{Lbk7-5V!OE=DP7b zpDX(@TlR0^Sf0NNnoT*h`(2K6x*Ye)VYItGf-h&|OmSp);?(y5-6q8TS?0^!nn!HE z?+atEF1Wt8)x5;@nCdpn#{O4~bL#)))hfw@^T*qIy={Uuc!PX#e_=gw@(bDCo#-ED zUefZpqRyIT>(yiEo?%{6XIKyY`mCS+W?4sz$m?VS@;rPDopI#9EBDchen}j5IZvYh zV0;nhk0<}P9&gHdr7uP2w9Iour2JG#MOEAonQ_hBfn3?_a@=Be(o{ctbJE9JT((UQ2T7W&PO*!^GA1ZTIm znzwoo|Jo1t4YvBv(_iMqNE_?Bq+h3?Y9#%>lX1{_jFXb}->c0y1}~x8RL(E?-p!`;`V5Upz{~oiPa@8e_6IG&yy+N_e#s7yrdDP{tr1O-*ZUY z$8nTw#Ih`O_M^_^_#=cMszdJj8f~&N3f` zTVT+F@r~|ao>9vg|D+)=)aT?$VmIo?$RBr>%+rsMU%^vo{$hUd2a|vLAoGc{oOQtc zjC}P@GOu{$Xlmr!aWNN7vZ~^VRzDln8S-EE7N?D&-RfN04IO3GM>%iI5}9v~M5w<5 z^<@(85=TgR7MdPn2C6m^KQ)x+J2V8lie;R)X0fzCMx6TG)^rUEdSX1(=?xOO}GJNn1_3H8(To4$p9)lbsT!I$)VFpqICotWo?T*k@C zV_nc`jHCMtGv>=85kx z{uue_wkJQmV`%P>`NAhob|enBA-}`&zdq_e#NG(z5oZSm|H0@kIX~pOKJm89Gyh=l z7Uxs48OC2i_kS?li1RMi3&TC|-|w^8e(`^zoeC5G`~IUXk4U??Jl@+%yV#9rCZayZ zeuVa*_l?9Mj1R>`CdcDX$HZQA=5hQXQP(7n45GixIr`7N1rw8{zt0ozVH`{c^loOn z;oPz5N5J5RIJgx)!_`Z0O~I-BWdX9oSAc!P0J zwNSTYoOEBt&-}=E1|P^czbNa$>*PUD5B);&!yCjrptiHVIC3AHpab)P8q0d*%YARm zF3HR5nGb@CWnIghX!An}G zV5mLzk?Z&`1{1$A98VVPnF?IjktD7CM{cxxq z{;Khh9#->5Hs%h)PNVU=T&wEBcT95h08P2!|Ma(zm z7Fi!U$#r9rbwm9szCs>_(#R`+Gdf%6+UH9QArJK`$w&EoTzyHNMjw;BtxX<>u0~hh z$8_qG=MlLdgBe5Y%k{BpAm>Fs2JfTk%6Sw03RQ2;r;ywiE4rUJS%AT#nD~#B%l`y9 zFB1F1QQw0~u6t7JwVGX&>N@@4Q0n^+ zz&3In5${PnyE``RjBiW*53(LVN^H)Td8WB+?{vhrH*-d!T(_usV{Gi_%luW3^F_@< zGlS#OwK*3BB^m7=B zupTAk_xAcp;&@lqt>_0B`wPSJetzWR6?Qu@xlWJE^>%0`>tsaMWmoR^nAyhI_VFc{ zF2CO|y_q<86HC9uNZr-8edch??Tf`OR!Vu~X5x~~(ryJN7Glv73@yegjX?*jXo=|^ zG4nT`zq~VXsl1O-nNFN~-=ORn+LgV4ULjU=!e|dPf6*V&tr%*9>YkPM_?(~V$H)}v z&jQr%Fb+Ws-TN7@sDt6rjAtZA=99k|Z~rIq!Ik%g5(~+bguI{WRU@BN1M({&@7G42 zCJ)VTlArQdqzhfOSH8>wsKh6_6FUe?RvnZqx(E ziI-;)@9u`#W31++>_?tFUn64mj2y><^8DS0@whMLc`uXxS)NV#+J3l5oF~tlCjGlK zllpK5W?qHr4_?Pz-tdSWmv_QAwjDN<@w+yQxKmgBO`{2 zfOXn0L}!AWpZ^eh@_SR~O=&+-+BZS-0Odh<;-Ce(-Q{@>$$rGxKW8@T5UL%rzbiTa z-C5|JVjghsmib^2{a{{YUQi#>UuJ;xUtjvwIYPgy)b|;S$1xryjF-+CWn;gojO*x# zjm;YaX%{A6RHPH}r;>lMYQ#lXX4$-~-vQ@HUJuB&vFR)4!!t53oEuH~h;dkdg4J&{ z$*P;=Th+S-l*|9bdYk9l*aYGy3vBGl_qxsLh14HhM0xkc#Je$AR%~On0X?}7gRZfJ z_Vv+w75%MfIxn^LdKs$r=pRS(6gqdI`?1t}=%wmcN!$U0H`#vBM4snfiDiF+QuZ_0 zhX4M*AjdNd^<`52Eyw%s_q(VcC&!EstVX`)shUqG4vMHxLx0{>8~e3U z&74fT+Nk%DAF7w+$rPtrvUpJEY5%N|= z2N742*Q&A)aY;|y)*G+wfrq-_PZIacB!06kW~a=MxFtrLh&7Jb^D0opaR<{{VB$(N zmton}s9tBi&=(Q!sdvO~$Cv+uY+0K)R-O8a##mJc;~`A1hq*VPYK{vUVQG5|9Y2)*x?0xR7kW{CPU;&k9$*|FVcy}z0?s?_wA_F zhB&`9{@E1M8)E8zc9LmFY`;95feXTzy3h7o-H1Qvf>-ypn(GG;*BN5fe-FcPBPeeu z^Qkl1#^!S7TVLMSRrB&FpFGLx&P1<1^R+LZGn*xosaI31!8GxjsW$dTv#zLWvVM%7 zY0LG);sIGt?qS_=?m+#CD4&12hgjd@a$iM%b<}Pr6|299-Pv<(d8h)_Rr74DCSv4M z{P%m-w%q+6^d830SLk20z}CkWptA_$hcH==p(Rp22BXau^0-wPS&drmf1)2IcE6#$ zv!6J02xC&8$XH~z6R&}h`=#Al{P*|qwmwt`BR63(ko_sd#O;`zj-DK!yOZOLzbF0j z2mR&8(VZgwcr!XPQBB6=R{Gn2m2okTFwXt~#?2dqs-cYI?_4ja_GrE!KisqAkGTWY zJgy7e>&P?HPp%8TAs^LNxh{B_yw&%Qu>GJ$4#JoFV(NQ+>*RbXsg-5Vqtv|CTjs&N z*_2-uv6^M0vGrKWf0p_9UY9uadxVh%#JeZsg|ZIhOtZ0Hm-Ry@XWCc~V|~&0u*p z)%6lzCGD%&f3q8d9ukj7RUiF}#P{U5@1cM6S~Pp5zaB!h3f-;ZC=7n3zk_Rt^#Nkt zQOZANeDo|CCyjn{G&Rtxknx;?uH1Lj=_}*?HskL;CVAkAIp~j)`Yb7bio8*ObG@Q! zi*HL_wL(9SeEauxf*l|KLy5mdwJVjEXhur>0jkatXNw!f^Uz;1oqQQABqxT zz7NfIY2T81vsaYsMfWns$GZ}pYG_`Rc6DX^EP6K?%J-u86OZ%$i_TN1x`?tr zY8?Be%GiIujU4wga@>2RUk*vX)e}FJ{{D>q*5{<(Zz^J(Hp#rSXbSmIT4>esxH}5L>RBjk5Zsqlwex`sDNk8=Kcz7lJ2co!C=IJNbWK{bLc2|8*MW ztETg~HnXhm)w8Y6qv*;1<%CwvrTq>uZN81e@_u?~{1O{S<$qTE?}-y#m)Y{<*GsMO zONsq&(7OvAxxblz*>c-1@;Bw7w#1&?uOjpn<%!wocBDSpU))c*X^+W2c;4U&dE7x_ zcLh2N*iXGl_W$i-`}|%XOw?U$WA(`*tLcr=I~LkF_Q?XPn~w?kzPa8r&z3vS(qGQA zQ5);Eb12WIf8E3k8~bwq43#eH{Y9+zX3JPxZ>}3gyFZ2#-$p*D%w9HDm$pZBlGhL2 zCBH6_ygPqT*8k?0`D>(ArT&-N<8_qZnmjk-@@>7&W&PGM&KLcFcpm4Qk@L@K$oXoH zqF0Z3-v1uGTUj6U7S;_VuVdB1h3tp?zS~^Ey5?O|Y|DdP=-j!)#$KzXwAah5dJn1^ z%Wdp@hI-=)+Aqh{eIfngmA2f-eVojiRW^>N8Ed#5#@k?Yx|Hw2|NDEk&xw<#F`m8J zK0eYL&2)?wVMy+S;IEfXE;{KL9f`?$=wC18?J+bA!`EUm8=czX1aw{WW})7MrjF!IUknrur%NJCcK@530K8JtY0N5Y<@p-=LqJ9cYd+Kj`_W z%9uY)>bkfF*S#jpJmain{xLD;BUK^u)5RDxn``si8^}DSR&sq|Ml;{}tGKT4hsgEB zlXBf~d!c=tUr=CGqg>9D&&FXn*9U6c2YQh+>0_}-?oS=AvD%hrk3)43 zGvs^Af&7n0ru;vxzIUx{U-c>OY_!hCdN!7)?w3?;y)EC_3cZIg@fgOw#iab+GEoJYi+dUu`|R`xo@WFKzXtymRx{k7i0Qwv`?PJ#4lK~A9Lqp<}wVmKu3ND zoB0L%r;lT>7Tso;@wXhW+&|7dN?h3-tJ+}N5&Fr02aDHZSv5@ipEdUQ{1KQd|MOe6 zoN>rZegFJj#w~j>Mjdn)F}|tqcSmP1?#_x8cDs?E$p^Ir!;g|L;YzN%B643n^)>kv zy@UL6-y`2l7Yt7$52G)Wm!7=ulz5B0_2qxj5>IixFtfwEuh^VU|L{T{bA<{DR(2pJ< zgiV2je)Q0X9#G*#)L>l&6#I#a2qXuzpLl11)Bfl? zbxAQkSwi|u<~==u`A}WOzsKwX=E>lCnK!Ru9`!S4y6wXKv)Iqo%)jOe=HuWc=4tPi za+e<*OEq8HhGsbH$C|=>x(@&!RHKw|*bm{TcX!b~a?kbm_T#V{Y3|p>t>9+Pctd9_z z1DNPo;quj0;E5VjU~(hIXGy#sqkYgy z`NTxxbVqS9CI+F`QoIn&$(a6wH`r!8q`HFfPKwj2C}0ub(4Pk!f> zzC~hrznE=IoGZUmD_cx`g{PvD=ZV_2)U&;Pu{(b&@9B-~qdojJ7=4EJ3f`gp5)DvE zyC%BPzTWrJ?s8vhGN1mC`he?!_-0hK_q&Gln`m>nK6reVJB~<#eii*xt_!MAUyEuk z*9Y--7?tZ{?-BZ^`kwyk$?wF%cc*fGJ5Zf2@ge$mP$*8|y4%m=I>K+q_igIGj0>I1 z^+Rw)vD;tpSRpP!?|Glkxw`;s@3-{wU99B(P@6T}#U@}}s=hJeNBUCkNH4s%2kA>R z@yL!i<0@>BiB^8so@kNd#(iEFtbM;ihrYyJ2V?!AsPk}nzS9gCOFXF%Q$^0&_h6aM z<6Laz??QTS8S(EEDc^;EZv|85xY%6Gyr{1zCtvQjP(RIcaqv3xspm1znq6EU=wFt& zd>fPNg0+~=U+U81NvwT7VlbTfU0Ft?#6te+2K_#~Q_Fd^%*>b%zN$NLuJ^{#WV zUx;B}v^Sx51Y=*II)J+M^=y}g@lhD>3PD zLt77%UvV7198c8B@#SJvHp*TqpRG$^T%Y(=IRNa~6&x z{e8x%xwpW@=ATjIFByjS4#Ijp@a(J6O&0(Dr$hGM|NXD&(bK7KW$Vq&(jxzK{7@|G+$MV$AdQRpxzP-lwhJo#VDM zGi1Gx_j$*rv%c6TWu19$fh!j-U+9dDV7-cMME_jYH*X%s2Z-`Jt1uvr-iNVe7|Q+J zRkhDkypDAH2Bz-8$Um4|FL58quRzaWY|vtNd=YsbOxS}s+{JO4hfsaMd89UA@HXeC zWxcg)=DYo<_2NP5A$_derR#-a?R(mvr2b4y{GED@Cs0+$y4w|_J7oR+ns$k-L0_)( zQZLhP(Y>dUb%)~&}ll|08)cN|GPdIb56^N45BzxC?DF18QR@6G-F z$sg4l*L1~`I^eO^_|AD~KJEO!@uTWypIK}X4)k3ubo2rt5cnJS)5q@UaPzrF7|rQB)<{! zkG+I>N$o_xUAfEme-Rb)nO=`!y9MlL&O)bZxY%jb5@&c2{XEuhe+R~89gl65`BnZd zqUE{B>C>2pt-KG-+fJN1i+S735r0I#Xr=qS_yLS~%=?Lr7?<~3BI}GN|9+1QV%>@VjVbwex<8NgDt;a7Sn74uAEIr>dYI0|$U*dWWAG6g?*{kz zx-Z7cCH@4xEtvci%^B-l`PiALz92nvC9#z_T}NU|zOLP0J<_8e%l_gRyI0~HF*+3e z-WX|x;WZe$3KQ>e9*M^=Dc2X#3nl$0>LdAz)Q?;TBtE15(zm162vrUB>~}?52h$s9 zAJYy~J7~Yua7;c(d#e_xJJBD)x9KNo`F_aAd-W3M)31`xv)%`P&>s`U7?bB`$D2w2 zEvG-L9gAH32QBIM`X9!Fd3&BqH=P(S-oUxE>)_cqp7CZbV*L51O(%WTRHyxLl2dIc zbDGx}=XNgRU){)jP<#J^`fU*9kMzce+hFZ|sVh3}{oj0K2KB+t1D)!IVNTtidC}kJ zyV#fe|Ghlcb0g2sQ0peTe9xci3?G?B{5|u&e=6&O*NOEaegW% zeO@c^NKDV2=i=BWtZS*Q7@xerrJG|I%v|W=)G*e|$R2SZ>uLNV)?05Es&Xuo^}OaZ zaxR_0^$2`sx2W1A#@E1E-?SuN=wU|PP1$ZoLI?YHV2%-ctP_4BB|miQGk^1PMU z-Nd;IF@7$l<+>xhTh1d7{oR~r;zSHba{l&l>cvDcy@LAkW}?4^`i!2Bs`mG#uhK4F ze~dg!dnNl|e6++diTh!23MPip&e0xdx}$APKS;>)P}A}}A3K76q9d3J4MWCi>sM?>lt$?s*s-nBrnJ1pQ}GuboW#H5iWPdc(hhejWT;#(u(5 z%AJXR5#u1JKhC9x-xia9u+ZsuMtgdJi*@m6@&}9}?l;_N4-a*kenZILG!TEy#pPY_ z;pVvG5=>s0DB^F%Vrdb|-#K;Zco*AI6P&8oM5q37 zGVzmBou(k}w9BUxKRv^#Yp)kxm__^{^O{}5^@3i^d}pp?9t_LStFyqB_g}_PF@Ngw zm$>wJU*^}~d(;D%f78dX_V3^Jzs%FM??H`ZuVDLW7+$r~#lagGZ_helkH~tkmUSZf z5(as!BeAzJI%JL8KKx58VLj46p}FWfmmhf*%2V!y@vFoNT&3!InwWbU+n5XIFJ5m zcF(6hvZNpHqo0ST((l85tmo=h#)&>*8s-0)=+s%IPJ3~QQ+-r`dN>~KjT>crtMm7| z^}3OEsvd*zW!7o6bF7QQ#wDb0WuE%?{cofnpNgNwoyl>`v*FFNDE|TTwti!-i|s&J zch6qn;%Fb%kH{;su5@JGsc3Ipz9;KlLcVXW>b}gSSA36AdCs)?aJfql?pxuk`3%dh zTj}D;zp>0;MgF7cby)3UFNsw@Va1pVmtJ)fW*@=mub4Y^4f}~=ax7*o!}8VQA+%|% z3Nh7et=m5GE^+)k;_yuIRNS_feE(J~Un$#9lkM)u#4ya5E%`YZo{Bq9#>xjc{_4l% zyvE9TwZVwIcfGQJxZ*hVp}xRq8k6r~_$g-Z#-p!c)kZY!Fm)bQdy?J>)tQ)(`ypb_ z(k|PQc=T0iuOnC~+v||HO42J7`-xvJ`;*U$$@}F4DW7>d`PGNnKJzb(%KOyIb`X09 zF!qFauauLxYBO=hGR(`zZObuzGUhhKj5q0j)n%C7U;5=xOnyOsjY$8ko=&{&Tnrb| zzjH4af299sF2a~R&#z3L&zDiS)b%fa597#;!PHL1mwArsIV-=959RvSyvDc;XU(U7 z%JU7pEK?~pX(^=GauAGFVAlw^TpmWw_mUSIH#Fc>6xAx(lvoiPitfan~uox5sZ~UdtRvTq)NlPmOl59$koEmXLpPsnguX zylMMRb+KO(cX}=4`lCPdZIHqI8>E?!gQ4ZFTqy5*(6=pMy9xaJ%4l7}$5YL!cmwqEU2HJDh;x|D3mIu*GGRmEEN^EF2E zWW76xsR7r!{M1dTF1*3TCLfP>ywSy(#}kx$QJjcD7fd{`-sO9ln3}nc{mAzL$?JL${y(LByCl92O0EcNg!^H;OS|cQw4*7YeQiJ1Q#EIj+n=3V=G2e)PW1!*$Sx=4J-=iBBx^!=Mi8E+c>Qv`4KEi$z$=^5G>7O&rnI6Nq3if0A z0mhr&!}!y0@b4i1iCJtf&jB)W|GB?Km}QPPvA5GQ(wOGpn_{{Ke4BaX{+5))@i{uz=k&mE8K z;W$&7q^I(U{k_aviI#F6wf6~R5UT}}F83>@<@@ZIJXa{uOXj`XFsOZQ+Y(|sSN1<0 z%|0o2lI(XKv6APJ#-AXL+=q#Jl=HSp`FkpIyiY=D9{4#kTNJO4X zyRDM+;4Tbr$K(g7j$x!7>sIwJ%xsClCFq}vN8hG=MP1_XBiY{(+20n-+Kx41Y8G+j z`IxSUL5kxKMq)ytY9Z&JO?~Kls3&t=>hUT}MycmmC)&Y$Ann^t+VueAOHE*XOs-`d zTKQdU>?6i$*htn%`MX8%*%Viw;SttJ)0BC@jQ3r--7&^#=1FSpUtss6JyJG~-zpwfy_sdxLq>%I`GHH?!P! ze!zUHipyPWSI@(@SQpKU3teoUU+j$KGe1W=F<(axU|jAqx67E<{jwEo*LI~d@gA!3 zRW7zOStsI6WZj6ej@aGeO|s6&-?d}6U+1<<6|f!!omroP*D*bT^(z%&JqtptmVY0| zCbRCTE$F?C5Gy8`C#ZkLlm! z`l1}oa_U{l{d)Ri+9!~9vbWQ2!BN^V?1FY8?W`W9-GllVKY?{U>`DKKUPr$P+b?nT zspP$p>QVZaw)5#1)98QULwrBv*Qb95chO(f$eFI3k$*=Ajp8oW^Xc!Zr}Y086G$I1 z-l?_~;|0Fc93D;l!3g|lDE{3KoAktUyI@UYw3qC4<8=EqPBX0wR`$eEeVw-LAg8{2 z81asgc={-(nZUfDE+6Y+HK5QL9!I^f$i;r6V$!c84mJ}jxvxmczwiAmq?;$udlZ8m z?9Z3y_-HNrA1pS+@I=}F1;oKDnZLd*;P_VMJ9QSZd26(b?S3@($a&316_fN_Vw=bL z>r;sJeIwZKC*l+|XHZU^O|0d4dA9aB)6dF&x66J5*`NG=PIZv^_IWwJ@8o#p_-#}2 zb*Y@!rx={V`Fib8zeGKF@|;L>3H7OaW7w_49ltq$9QE?@c&8`#k%u>xk$>9+XE1n@ zQx$MssJcvbaXb=tMth6RSYINKW4MrYCpL!b!=&8rrXQQ-wo6<$o9&y-aR&15yvY8! zE{@#7`sUxn^@)Goe3$MOEpV!jG3dO=#o>FHJa4g!uV69lr{sAO>LJ=$RnY#y5A+K&kNy&#QR>dyyh8u-4;B*lWS%gK z@?5O;55+@$aBU7oPQt@i<+yq3m2OV+eLnH9LL4!U^m_bzN##!@Jvzmy%cc?cn(hq8 z%y0&sW;wkE%*%ce^R#)J>jytJ&*kf{=2LF$LZ|s>ku&VS#2Gu2^&p+bsQix7`+cd) z_vQC)!8@!Y(HmJ;OeLzOD_lAKC#L_ilI<3uIgaVmSGn|bS2S|{p$`$qe?yhM+Leng z!q^^EFJm%|-eC;S;V4uM(H`XZbRni@ zqxS&kmz4Y6RTi=OjrxdgmiqaN`U+=b>P(Evd$8l{s9$qG^&X5y`y=i0@AprxUd+$5 zTkyqV7khuwuHhE+FI_u~>hMQ(ZEOc=!nHISgCJ$iKNi7WKgq zy(PUHzSRj+9Z@$&)eODX|9>2Q#_zLLJ<@NvWUm{K`cfW{qoC+ zBXx7!_G=|Q(VFzd61QqboPQ}^e;y`J&T-p?XP`X~`!&JOuf(pcFtZ)bk@LP$40@4% zMCzv|m-xR@f5!(9e?@Hm5qFBs2b2HMAg7rou@-Bj+-`{v45a)FNuPjffn1**5L0p- z+vNCO>%n%*x?p}=e6kgWEyS;BpV*0eUHz0@h3~e(H#*?Ru1<4KZ>-nfse2D`+KH&g zjBv3UJd*Tj1$dcH`hY@b_(8GL$otH~BV0FxCr%{)jLA-a-c)Ds^E7AVdDad8TdoU| z=gxHL={*?Aa|u*^)}iFwIW9kT98>aq<+Ped`YEhyDOu+dhZpcUC(3##&u#bnEq3Wi z&3YP~f$={img@l1(Xjn3m?`%?MBX5-mUTQ!o+n%T@BA#Y)NPmOhGp`-gTI)#Ccsn| z%#w1+-o()}QOk8eWFw#F%kM#=hd8g~bW~q)-pShU$4;d_;v34{aRgK5avn|4zm@t- zUxKN~ERHvadQYrkeUG%DT|9X{m$^aOFG71NCGGnH>%5ZtX4L8;w?FgKSf~Av{-f?1 zM!JeQRr8+2(jV3DQPOiS&T;*>P~(Q4PVr~^>G-f^Uns9v(1*mIkmoX~DD~#a@6`Qc(>ae# z)VqmKr9S>6?b2D+zq6&?+R~2ZDcaS@^SN|GSqDEH!*Sj)!f9@j{;;k;>0kFizY}If z@T6<^x_;HMBc9g>|1$u`&_C7DkuEknM?3WozSH)nU;BNT@6?PE%KgZE=dENM_>*N^ zoWpgncfE|4b!cWVj&x_{!RV^E+mA|Osx{*-eKjU(pI`GGu|F6Cc@JI0lkwUQt&~f> zCfi?3dT=jsv>tKvH1y;-^7cyEemCWk8!=Y^jc#~K58STtn)Xg(C7zN) zdUNS-c^!z`bwW?d&zABflK+zA=XIsrqs)`4cAk{)Th-MZk5R1S_SZqKy!PqGwvn9g z_B{5pm-g_1~+y8-jwbj&j(0-iT&aXrNHviBre#;3i-JDDR4t__yiFQ|g z=pS|pMlYiurR04zX537-eNxSGrhi6X?z4-2Kij3-7g^_{?dQ5!pH%LQHAb}q)8pom zE`KMA$a`NCJ?6Xga3X4X4_{?U^$av$~L*TvWz>MOW} zdW_0*Ak{qTIV_TKo{MpL-eWwVeRN&MZ6Lo}3GQZ`>Tjf-^D+FA_BUV9FO<9=-h02$ z)t8d>-aIwR#pWBvpSgoZH8DnOGnk+{<&%0D}q__V1``!?4NVcY30 z_Rqth*$fx!>(L)KlX$E6{wx=JV`h`S5W~K6Tx?gP|0{Zr%ysGNKD5tZ*s7fE?-eUi zm0`FVZ8!9%peN6L46Y*9@324fCZ89Uqv|7{KLP)Jo~iph??enrI1m4I&dVsYJ>srh zcp=*DQ#j7~)Ss5$McVPQu1CvUzUnIV|1#^lT}C^p?S^XL}lb-QAS%h%;YDc2|886ILDH1eEyJB;>QM&`)8b3ex9@7SUIep$(VaQ1of|9$Sb``py; zQvM$_Ig;NOL;3q-@=-oVr!X-PV-IkANjcuMJSWA!g!9proM*aF96~)rGBNod>M79# zBZH|w{~qeoFA$ee->E~)Yl)et>R`~C^~oNgy=+(3E%h1KA?jOkBkigW(cWqb^IkYj z*1tDpJ={sZ2ug{=h4hzTo>))(Ue?nK(A>p3>klWkH&V{LEB$IW#}Urp`0TSBuQ?$7 z>;XCceOy=RiJX^y2K~{}4?iI`4Tyu+rCdE??=#}~*-}4pJ*p;4|GgINrLx^i=eJtcc8iR^XQaNnOZ+VL zr#_`VO*8a*u^xGKWjtSsN{?~<*&G<{)W`CiYTF2>-NbyLHpGaJqLJ@M%qKl4zpO1@ z-x|ALj1OLl6&K{Vb*pn5JbVoUX9P*JWMvuZ_D{HJ$GC8qRQrZ=u;Rlel!2Q=h=PVC4BY z!I^W|PM-7YjhX9WU)CQZ&k+vt=ecyd2ZI#A{(c zo!&6i&tkAg(wi)C`L>66HmY1S`RFedKS$luxb4#NJQV*;$(QemRh7igpdE|h68YSv zXpVB6=4X!Eza7KjsJ3&SK@`KGQV*xezqhxtUi|5r!&ooE*0GrT~?ZIp2wSjKhmA>-cM$9&+gWF86R-;e$P=AZC$ z=BN0!_}>4GH!aU8O>~~_;)pz_C1#1!Z%Mj*-VV@()czjW5=RUo($}b2tw_i&(ua>yJEFJ(w%&z*g!(e}dl0 zXugzsnvZ@<>Q5J87?XOE=#x_wLH zK=M~f+(7nMU*Zft$F`Txdx3m=rT8kxXXkO;`aFqubDrif=czWLxfAVmc^uzKBb~Oj zlq(W7?cQ!*Ue|HGwIV{0>Id1*i(iF|* zct#uiAP2j36?@{Vy|7h3oYBW=-Wx>hGta1hhLFB^I3`A5?enZBGC!%&;?V-~3w)=N z=StPS??<;TCO;Q-&vBIdlzGuE7XO?`dgsYbTfjW3?NrkJxHGtXy3-6ol{v%3;TH7Q z&UCS@oaOxYJrYi@(;UjRo$K_Qqsd|&P@jr-v3`c1Y)mgl{V*n8NA-sI1IF5~blXSe@5EMq=bS#B^jHBV2V*3Pp~l1{ zv@6jo#gsfBB`Nzi5~t4~KYpT=ljDuc@!NqMS6BywuQ^YZi>b@y{GXEgnvSUtrG70Y zcc;CM{d)DJUY{ag6-v2-A4k2T(8an#5$O$zaZriVt{6xD9pcea@>ih# zmU+#tok00Uto!;K<~{ub>%V@O`Owbc-&KLU=f#^JciV+>pPAoI=F@u2uj&o7ch7X? zyeCk}-%o?iTn~ixWS-7KPu{DeCo_-Rk5OM&?)Ia%&f{|zqF-;mi`9J8{sI^K=dxbt z23!}I4yZaUX8XhvXW}&D^g3X=82vXe*oTP_W1E(_@^LH5b8OOS_6PIDMFUCh< zawewQqG!ZDsOO>I6>ERboN7+|f6qHT!sn~47`qv5M>($En687#FP6IFj@7QiHxO(2 zJwROU=L5nQ&KQ%wlZ_N|*XVqA)YoDP1o0G@8 z`p~D#__(0h#p-g#mFYT`_%#`aH_14CnsKWp%6RV9mvR^P!VTT=vTiuIJvO`=BTcdL zEHo$Wb@NJjbG#^uTd%JudT_mVfWGW4^2XJ)C)OAmw+X z{xn8BQqu1s){lr^4R-lj{vByjTyNM@B>jFVw@a==*2{jjkgkSF`fUT`b0mE;$E8lD zyn0lwXMU1@pWQ&d$>2Oxv24Fb&T~L7w?DPDC;NRF)lSaeOr>7bTT(w6QZL)PQT{tr z+aR~SRV*1GWK0>{!YH5cosmCYKu9kLe zHpJ~$&l$@8?;^G@5!?5Nk^h_IKQ+R|CWh*F)?b}ZtanJcA*5R^c9rcKOZlJKuX=~_ zI>qOjmK>LvB;F(a<9j)uO>&+;NWD}^dvvDV)V5ZfNA2@d%g-V{+5pWlzMtE8b&eZ% z>#oICIoP5buJ0-7xmf#s-`1Fm&6+_tdMNqFnIBX%kN7WfuFM}lhF}4zaNBv9*>1U63s(PhPdqm><%ZTMZTYLLt%8iiua4V|*^6&WvnJ;a_ zxGNV7Lh~^CKTdb)=8PFmeIo|mOc&ef7_3LNewIu3-^1`X)az!ubgvBm?>Thc=aBxK zICw7c1~l?_U+=DRmu}_xvi=;_kzgold5%YLfOW=hMeo}M?5{cNk+&QDwyan7D%P<; z?l)7DmbmgM&+vIMG&f@6QH;KV$stQ!x#$cGoOh_t0K`6AahUp21D1@21_&8K@4>FM>_dZ_@NDU;Z8w&Lg%7 z>3{XaJLs2TrS#AK(qD&*G5WRLgZeJ%_pdV!%yAhHlhHmliT3$*qSM@q_A9wA-iqo~ zG!LWxTwEePEBWuDdSBAzIZXB<#--Uvy8Vh+<;r-iU>vK@QP)RPPsa5VT&Ji{iS4_@ zrX{htoY&#@o-F3PpOo^i6WiMSQ%Sewl76a`zqN?%{v+vG z62I!ZblU-qyl+RFDC(BjR(!Jq@hoOzHCDOM_`X_RI_Jv%R-6cN2`J1*<5B|k` zUUow~+#D?iGgswU2q ze(-vC;=g*~pSieG`i<>Nys{5|M87f_gIsL7(cjE*R8i@N_YI|dFZ!ptdj#S~D(px?&0{5*NSV&((HN0(yOeOT2Av$L`0CN!flScX~hJjjGR zXCZim^!PKlbHBt##lu)F?_Ee);-k}07h`G^dRJhgKgS>Wj`K8=F{p#FYfvr3$eU76 zd(nm%c@cFcp?&o4v~#i%rscWO{$To9>gPGGJ|i<{ITMXg-8tRG zF%P5H#9eGpn(EZWlbwG4M9fBW;RF|lt4f`w_V2ZOie2ozUqt?^KKYl8b?Vmn#N9_@ z+mTMyB#$@~b-fWT))z95DfzprYAN&BwSy=>K<2Ua1K7`1{Yby3KkNU!% zLo(l$qUtZ{TiMR6W8O1S*?wSe_IJAM=Nj>tY*)zV+uGw=O}f6E<5kBvUVUV!+mFo~ z&T(Fdwo+Wpd7DD1monRRJx!7!$_LTdf!-%x^3RDBcUnyrVoW%ZGqFOcC#bGI`juPL2=7uSJ&N1}wqJM=C zPIKx06Vl)0c|5hx`?Lwty{Tx9uzk=;?1|o~vfmY`Vbmv=VxuX@lfdNBGcFp%G4 z*eSH1e*)U6=+#L3zDRoq9nj3h+P?#+?-_5VK*rr|W2pZU#$R|gpJ(N{1-dzL_yqk# z--*Ff=pUDUGgQX=2F}-)-$nb?)JO0S^=7iDM}3FX>r(oGS4_PJC(-VSQ<-lfS72K1 zdx>ozwgoaT{VnC@6373N^c!cm^YT_>@HXmoGhKS*UbF+5?^095ztQ^+^?S3apUyH* zUW|#+m|iC7gP2cEFO03nl+3sKZ`NnOjm*c3Q5Uk##`Br4%^k817Z8W{VWJM}sks2t z%~=Oj9}Lc69r*WmR_=JCMd+`Q^l7X=@h>nU>uC@-uDmt4^E%9a4KuQqy8Nt*u_l4h z8^s+MtU_}W>J3=68#4}~cU1J2x&4-P#zZ5m_>26Yx5V-sqMCO}FMk0eH{;Rku;O9N zU5QEg{F-$V%ku}KcMykt@MsjPU*vq#8_^qp(Q7dN74>E|h_debEvVmA1Mzj*$E(5k zT8wm;xC=(*y%y>FXz$whb0_;q|7eJjpXfJUKBgiVA5H&CeoOyL7GUgo`m48#{u_A| z6AS6@v0aP<|0l+Y`Hk`8%l)vS{QfZUQ6?zxuck1Bs6i+d*jRh(jblf2=ESPbhHe4XlIuIGPgXGkqDceOMeb zit_S%DLrDii_N5=?5~*X2`kTMu;V0tR`P4VpZr16vn2iX!R)6{*85)uu)nP_(q|Ey zNM9GLS-GTp693ej^zSLB^82{h?vw4mq?~CZUQD{$)sO8S<8!UtN2c2MXa7IT=MItm z{wU=e4I;k|s@m`W-;v`vn{wt{j#E|j;B)@l4d?a3EYi)_693+v{hlQ8DP1V{u59;p z4)I%Uaoja{tOXvt8YgC9v@x2xc*kWq?%#{|wZ-&IaIu}+;+h?mOuAU}wGi(R@sT0;4WXcyzZ zzb7aE8C12;1?xwwM~!E@k!Y$(H}4bMb4p#lUW8_&qzAIyWZ6!B52O!B{vOn?h?h$G z6gi$3<#>9_ahxc}d!?L5TF&oTv76Wk?Mc*!s^fF~FH61Ej3(YY3J*#B-bZX6mw27j z|C!P*W2N18Nqg3|@4G$O&z|;p#kFXz#^{BZitKg$XKHiYBK_~(&cv@s|J+NzRwJeV zw`6>pt7JS?Fy3?@#*fKh{Obpq7xcuD>~Dn3N4pD%Ywt7td2Y`Cj>8**VMB@c&vxm- zNc3-*nJ?xr1eXS8zv zv+-#+(}8|%21Oe&qQN%1FDMCFAbft{himX_q}s_ZQuCuWOIv z*E-FZu9(-I^f@vwUKS%hf%#TdhlIPHS*PVa_NXLt|SqyE;3 zE;jY1kT35IwBzC~4h~~Ves>%{Z>CGvUt#3wSuR$$%yvdMv;KPW{HExCSifUES>Lt1 zr$N8R`XB#ck=xE|y2Ke9Y@B&=9g-#2UC9rZy7Y{$%beS`V|u}I7ssE&%xNoJeDr6m z&ROZ=@E=rTSGhR*57c_Ki!*M+opmZ)YzAZEON^ej#-;1WG5tJ7My++}{s^qD6kovP z1=qR!>QR`n1k-n8VjGq{kNS3rufwcDEceip?Nugm?iIN6Vl+STx#fRiZF?Jd6dg}<&Gm(jWBkIdh!N{5mXOQpVc>D?l;u8D#O$Vw1>*Vs%tPWpxw$praeeSDRUrlpy_%!oo@Y8e`n}0C8X@-mceIFX>M^T?O%f+fch8M{^eexWa z9;_t}^N9V%%zvqyL>+_ z@ja4X`&_3b{;%`{dkgy2802Air}UdCsLn=xA^l3Np}*<5^gmrC{qbArr^T$> zW*7a}{y4$4ld@ue`nkP9`u!Q>T)w$p#>I`|uZ5&HXWW=|V~E#{##VA2c6pwQ)u!Q? zF@*dFWn2y)KzidI_+%HXeg1Y;3u3MIx^aHWrC8eDX=G4~ZrBv`N0n-;oq!F?Q8Qoi@`&f<7NdC%q1 zCd662F?9@UuHZOR+p+37Ob+09y(Dhy#_`5VG5bZ_mcjAHyWqAW%z6QLcHlhX+p*#U zJlc};`1g5!?)WPYqW39A_G3*$&eIOV+%k;q#k}7!>lCh2tX#MFHxQSv#rS&|$a^`m zvSi&Kj5RUL?uhZPD4+WR+G7%L$MWydlQ?@kaXP@nwOICFInI}`W*r7uSXmdNpUe4n z$MWZ>r@WDvx)gOK^_q7M9xbLFl)RTB+(dh2{zE&a<$EqwKpgil*g*SxIhbD?5aK79GMkP_Hm9v^+OG)qwF5%whaQM>3wGJ?FUgjeWrQ3!^jX*UK1} zwh80a#^WyCdzkTTW=(dne>vmb&M0%S-8;@1ZY-w!%tELBJfHk)^PEb)r%^ZZJ%;+O z3+eHuSblzvo3FlXhY#f9QszB#(g@<(`w*UG-c&yoxODTI@6_#ziC-*n+WW>6=Q3ZL zo0-qm8B<)kI-PmnR>xiJ_hNkros-qBD|Z@; z{)McU-c6_@th@e?sFyCF{9N>>FLbe$-ywTvEn>g&{syo9V&dLt$4Y#yI2*&S#lB0} z->DcBV_4s~^wjxi<-TiuF|l`*I1|GwF?~74FOmF4XhZg^4vOpLb5as_qMU!Kl$Y&H zoP09|btfs`0KNM-k3fERZEhk~+r$gd&Y_-yx@eb6J&r@aA*#*Pv$sI%`$wt&gQ&V; zI0Ze8{vg^bOrYu@?fH$g_XgB+Fwpde;9Lx^r=OUi(r@JVP^Ov0pU|)D2J{2^o%aa_ zZ=io7ntSP=!MoCL&%*F=u5a`M^lKeObDH$`x2L*xH*)`#exGq+zvDW`oR0cjvAj2ICh4@aMkxTMs;?D?TT2 z)>Xv*d02AZUN?Vqzt(9+F~69*dJ(Js3`b&$6!?#jn0C0xd>ycF#BGKw`0W}XkW(Ybr?R1dIj$6g=IIOKNMqKFrqM{0q&IJ zOMcC9X55R_Z=kms%dSVi7-Pe*W;j+g#>x}0`Z)EnvkH&Ob=uDRh~twn7>iYJQLh=( zu_`L@H*y{F6xOW7?0#tFI?VxXU@U07=~ZbUuxD$|LKB}1pUh2Pd_tX z)9>_!qP*8G^$Gnmb}#)kmW2^{j=GZfs3+FY-+g(`s<)PL5WkmkVegpf`b(+><0!pr zx{Iy6r&PVbxKpoAap~dCNq8pLEqY8T<;RS31|JnU)hoW!3>=G%N8$I(6Z*^{#6^AZ z{;p2d@d{K4zCV4kb&i{drgX#Y{qW-<*dotqdgbF_=0|mY5wYCgX_t&6j+Q$0BV51O zcbJb=i^=4FG1cksiBs+}=6%(cbwF*FbwTdmwX0@Q{%Y0_?-bUV@H(`$&*OSY)}u>V zw>)|7Xz&lQEtK``Hmv=AAdu&Es*C5j&r!qCZbWk>>t>jN-pBZV&to|v=~uAcsyn3o zA7~0m_vL#MHICR^gjUw+pqIqIu$}5d?0rET)c!7Q8L>YW^-T0G#_$t4?h7RSePaJB z)K8&pOTC!askh*L3}>Le6wRrkTtE8fOTBleJ*04xde*$%pD9?lQ zpP~JO!RWm&{bCZ@sc44NZ`3-jgH0LzNy~e`^l$Vx)q{0ky+uE?UBE_`Q+Wj)p?R<#~i(R^@Pd`_$7rI!t^4Xt|lk{X~ta}OWJaMlZmjzejB8^RDJZ~N7ViOL+jzgXH^E}FZl8;N7C%j{YF4l8O zNIyQ_X?mAA{SPOS|0na0d4~DOj*q+a)TPs%>Q{_yndxHlD#jk4<>J_y+0OJCbDZ%z zF)?7Si}h%(3!;a)9*8{4ylS78`F6!3wqLZ^S^ND%#vdz19;Rc`-B+p?ZkjKT60CJ&*` zsc_|XF2wM0jJ|la5*?zSOL)1*J~b3KV`e<%1`8`4wtu=aNlSGCV^^VE0UvG#d1 zwa@Q=ZV2g*GastP%#(Vs@6wI@-owr>rd*p6ymcHFjd$AG_dLk+G3~v~_qxd>mv4Ga zq1-Xn3GceNi@h53_prW%--|WkZLCLr`}f6=9@vlg=7QD|z=KY;p_MN&@e zhoEe{ue?HpKDv7?I}zS=r89CfjvIdoudxu)Y0?`qz6g@J0E4$Sk6L z19`rmd0qNRLi$a$T*sE8x>fq$3(_wiroWo~^xt5I^l$myrQS^c_i|9b#P=+^U^4A5 z->0aBr7kwtGcHXw<5X*(^bZQ~=aEiTXDIQQLByxzVxwy?KMQ+D_quuG+HN?G>l(FY zkc;ia;b=xV^|~>*s?ceQn9uB8p|ifESqgyzIhkR z1}_jn%@S6;n>^lQ-Hjp_u}y}U`7^$70#1}lG) z^!BWu;Ydu~jN7*2&X2INHS4gRjG2$)wl^?Rm-YN;S4?-r$S366vx$}beI+`IxUvW{ z`(W}m+__V{3$wOhg`6}H4k%V^S01VM_Y^E(w;lFVWfk^)wF-j zR?K~gev&s06TKupNPo(f-zBN8#5E1k{z1P^{Y*a(f#byGu~QmH>R=RS*984}pd%t+rD)v(s)jy=i+Y)=j zFf~!~7ozEjdYO0_Q!k)Bakbm8e-@_CKz+8@6oW?SwGiW&nuX#0;#cCU801cp-RV#IOZr*3M6MUVpyGeQ z`m3zM#~#pDHhM+V+LSKI2!-VO*Qq_kCU1 zgZw93VVjHgy7^&bHh$m3X1@)cb6pTta$S&Y%Jo37XTHmiUBvZ(EtTtm&5PMSwZxg4Yn)|2 zW3~J}-TQW_OV@LjIg@YW(MOiMIR1zD<_Z_rj9%%Ct-RgxRuwCmvYs(u2>j zY%1$qv>MBsu5tOc5TnyDL+)#gU&i+gak(F}=0W1*GguY5&TXI0Me`8m{TH)3U+?n6 zS(yF-t4_MXrDyy_Tz(F5oK1MG`9hJB#s^*ye3H!5G5_^5I{A1D+hcI{& z;}2tX6_$;a{JNNR0!CJGK3)uWra1rXo6!!ylzcCfm!ux!CAhN*CM@+Hue~0*oOtK0 zv`=*@RxYI-E4tv$6zyCle^1%jl{o7V{UKuvruNcL`~r-8NtNH4{-27LyL=<>Uy0qsI7#L(ZesHLp;&*$ zlj+R(3gvmz!5*$ZY+tTFY}+Yrf8LUbPPMTN+l_aIJ;yoqHN~W#T}V8tfcS8}IKXLU z_9X6iEk>`wAcD2`a};#Saq~;vp7>Q?r}=CUu^CD%&yi3$qlh<+!GmL+`qM(E`nZI+ z&Uo^>mys^_=c$JLeZ(}J?9%P(DdZ2E<_sE7$9vJPVqW$0xehUB&!YS;43{$xhw^;f zpeggTc?#7%%-?1J^Lg#x5tKad#=N+|?a$xM^@v)(i1=*Q2Xz;Ea(_f3$B=&;diP;$ z^itA$V|s(cf1!8HGM68F86$FC5{_H$(sln;&gf0(bw@i|(j$`o$4XZ&H4}9^OlG6k zT=E}V!G7<-bP>koxi`8#pBs_q@+Jp!T)K+mwf*EgPQ&;@&NGrH=igAyzdq}!e+BiV z@1p*Kx1~Psr+$Od`R;gv(`g4gjdsz}UVanSRrM+DY7V1!v$T8d-&5w(FZ{Y(uWIQ( z=Hf|i|7sxp&18*tvB{)A+EIn%4=BJtN8lqvuqFLoRrDa!8o`$J5STO=WpNM7U zxaD@tPGH4TxbSH_mcpG?xZ-<>e?s#mhBX-d9b;cf{2^w2i>Dn#Zw+2CA8U$n&tQD= zN=!Dx>(9lqqnu~@09M_CS%a|p4eBMm39C=SnwzLc^E>sMx*xZ-MZbpiK5+|HorM+i zX}7%Nv}bG+dKX|^zTYqx((dLl`a?zS{it*3H&wsVpKKc}+d)4|&Ov=6{V=(AscS!b zAtqYUZ=-YQ$H}Yc*Xn8dxqedm{eKt-kuT=C?Gw`(C*~WjU!yx1KmLb|tK^&VeSv&G zmTbiMOOIt-hCfbo`w4eVcIu&w<8W~)$5+NU4`vsU|CI0i_dOWIzYHb*aDY=i))POC zVp$#B*DlAc!#(?A?fq5_@?2~l9*eDuoO%oMn)z1dxpO9v|K&uieNNXGtgEIj^JdtM z^;Cb#yc!;v<;r_Kn191>WZgW<{2a>P(d`?|-{IBF>$Wp``ONp;L7D#_T;ld;2ODSj z0jecSU7Yw7^@L?Ej{lD7mdjo2jmIFe!o~jc7(0b^Epi*iH)8UPRj!=Q#^f4|WUO}S zkqgCTn0yzlu5kIWzNi<9uVL~KdgrX6TwT-}!#s?xM86CpQ!%kY(&uApv*h1~W&|cq zlk{BFzwx<|i-^_J#EIQ(Z&c@D@EYgozasVc8tP^kJxo2DDX23se3$kJ zYo9}Z39$)jH&uv9h5o&?uP5#9FQXrr3G@qHBK@WIevoSVkyl@A$Mt~vgMMeepdSWj z(?9*~^jq(K)_dEK{;Z$i`cbu{zuVs!2R2gT+Dn~WgarjobLB|lJ+j_!?nnG^N31y? z^V;rpKb_*_Xwux-?7%zwNf5EpLNO_r5bb&qTPh`&F+JtC}wU$?>~6B3G3v>OR&WNjNO8Z z^RW6tTvLoWcVM3tSUd;oHSVDGy3C`zt^l2xcw!m0y&X5|`RU_`Tl7c!A~ctw_cG7h zc^I?L$JhlJ*{<#IJSOL3nHjz_82-3 zXn!80pOgCcdre#7H2ofIqTzalO!6h&Cx0>n@+x}}CLbgJ%vG3KMqVaQlBX&9_j%3x zibdR#m8$;eZ8yN@gUyO_R4#r7Le+M@BgK=d4hjA53!Pqj!TS9-2$$Dv)6ED6lL*|ReGevXSF#JgWz8F7VV*m79(HYJ> z<U?PP_pVpWJn6ry^JX9BQSSxjRsWL3Jf40o z?l01L+1B-0Kc9|%ZKPg&Ec3aq^Sn2Isg%cbJqTa6OycA^jCUxLI8uetn^}*Ye6+tq z_j?R2S|RnlpE23JTw-?yCRm6S(@VSEcF_M`n7 zTIZ~$-Y(+cPc)ZPZl8|f6MDR**8hXp`2ej=8ZSdT4}&W)S%9%@jr(C_G$8HtOTN{&;r`{?zvR8qGs$KTP~a`$k{TcGhz-+w14u@`Hp^! ze}HD4_GYTrM?O1x-KyP$Ja_Xo?@Jg5_BO_a^FT3qbb#?<>-Cw=FN`O%kMU(bpGCdSGerNo zLaZ(j9VegTgY$?-P7*Ck_Y-Cm@x>8*r60ySYrR*w-nijD8KZmek$IxkK+)0PJN7>r zEwOoKEMCw2WB1LMI5>a0Xs=+N@;c6v*zc)-pIkdv;>hXDbFO|*)4!lZ%Hv;Q@^R)% z?=t4k$VBGT=$E%iz0e=bv&n}0HXSok9xGTP23bqdS|*zHnBK2U;>35Dma|;q`m0xn zb@dp^ESI=4iC!`5NY#b9?v!JNzE4myhjpp+?A3B!cpEyy)<|q`#I$Z}B~D(CrO%`F zDTW?cC&vp8VZ|+XN^D(^p02n48(RJaR-DPYyfYO;`u;(7cj6*l_q({nb-EuotosMM zoN})c^E?bchM@EG%}Xu7H~ z`ajwRV^Q*>B1zsvGB7?)^XZW0+lS~k$SNUFti$@Loi-~kq^*q zyH@Ilf7jzz694^qnUuQ|F*X#VE3|wLCT~Qiw|c1_zZ|2DF?f~7_cvo=A$s?zozeZ7 z*I^yk*K;?<(lOaY{WtC6AHYbVwo^+CYG}{ULzpPVpdI>c(LSvG@v!!XzTXkAqu(M= zsd~MDHI>-iOn-Zo=;-we@joJ^V+HdEHZvT9|yioKKGsM`{ z>>Hdd%y)iE=D*0``Eoq|A@ig6KJ#THhxs$KjeSFG7yAZZKUau6!2IjgES2+}l4W9K zUYS^V1S3x_m$-J^3NiT%T9eBqF6~hvX8we=+gD1Q(w+4sZ5xJXvHpY(VqM!cQqP@* zUVxDvYk9nN80oi8;>34o4ZTz1)MHrNIVN%KRQ&o*Y*@czFA_I>3)8;D@VB`Cto3q! z=qB7a4r3*F>K-iKf^8qfyp_1cXk396Wmu}^HA^+#hzWiCgBKH5pN8=hJfEyLaYr>) z==&12<-~at(7GC9gg+o}k`b&~srl3hYm3OY%qaO6eQt^LLqzXKUfaqL zzpwk-$?OlJpODYdv&rw|9`Ze@_XiEPoG0hmy1x!r&X(9TkBZ)tMWWMnI_2j~75(^R z(Z19rUN}Z{4h<76D^oO|I2y|+x2zN0GUQ(e`iW-fNDS+|vBs6y*ZT;X{Zl#q>NL?B zJcD@nEYX|IycN97JmzH-OSv;_o){!_-rLGN`1k#=q};lndDH0k?Y)NId+Er0n>^o0 zz3^&u|H60)^L4{~Za!No_2NsGiLo8%j3|>h+Emw#4VZix?G-EJxc?T08kb9)EXCNr zG3Zhu<)L>lacrf;vD{T+v>GG((9?ZJIJ{bpn-v(l1FhZYoyIyHX@=%fj789&fz~o~ z%F&F~<0~-uCtBa2`=a^)Cf-tKW3(894rukqa34LsSD*K%`aD0!=w0aEgW;)|xJmt4 z+hHdr$~5keejANHp#6gF=sk<^F&LVU(b*XOiFUU>LT4$O(HQ-XezHDB?|Mv}sr{$# zOSrev&)xz0KdhhYB=mQ7?I*|=s|X{PqW_}iRWaJ*G5!d7XRXBOSLCIu*JlL#G=KGb z8qPZQ6V7wwx3h+Qgcn;Zd1Ae{NDK}!E`m#SA8{k&#qo6fxQwTU`#%K!TshBvn(^m1 zXFU2hFg~sAMRMG~e7fjdUm#i;Q$*7!mw1Cq{MZEZI#Bu$6 zqO^RS#3{O;Xxug?v8(H9fg#@U3=Y!k1pKz^rC#~~JQ2mkcVM0F6Os=Tw|ELe8b@~! zx79c{i}>&mT%-Ge;#2&;^#Nx83#%SLPxk>$2N9pT1=IAp0_)j3<$2ma@j9!%!kSJP z-%EQWCStW-pJ=~9dsPp|bls=b&eQh&oc6B03FCTS%({N`OI?iqsy|8pxh3j1^sB4; zg334O@7l|-t`&I^+)bWT{6XH7jz{}p@+w{5*D_a9=plPkSf(0&6_^>l`MZ zqk2Dk?@RJNT+KL$d>obYgP&)JW^|$GJ($nquFeyk+({fa<3xYWNYVOZD1Oij&$V%9 zT850{-F@+yk@y1hfYW>u@%OnnV5;bs7l_WXLOd};^wvf>eu8<(y_WgOJ5Vg;M!!F0 zJ;prdv}As3_?=ic!aQiVVSWs{F<-i`GJi((dbs2%Baat(bqSBVm3i3Pqw}#|ho5L( zCda*f7@E9X;-DOp;S~}ma?q;9*eKQy=Pg}FA{A24e*z<|S4wPhF{$sfyJxSG^5{ZL ze1v`q>!foF#;0Ji1IAuQ&te_6!Wf&6?rmru*YZa(towlEI^yIP=pMu1?6o}4BymFD zH!zoL+!AA{YI}_6{vbS=*g6A4CwQLr9)14$zDcC5KL3E%YrU@R@HEDzWBhuIoQYN? z?H8Gj@vG3%&m+us+S~1e@y6QzRrE`wMEfZdt;gvl zoyCQs|9SydPo;cro@o8RJn;YbtK2z`^4u)ZJT{ED;d+PtJ&D8T?UDKA$&NTKLo`1O zz~|U6_?^ZOpXOp!u4p|uRSd>Vr(A#ED3l$Q*x5Z>On%5bX?*qx!Gifx9!=x#tss;A zLHvB?-^8cv4?;zENWFx9kFdJq5{XMcMB85~acKK8G36fS|KtZee(=ydDUV;u{~LRO z=V4#K^Rl|mlH=B}8KTqhJ4`xn`(vg^dC+{a=y&4vJJGSk-|76lWVpm;&JfW$;ozV& zbo6&qzrG?v+Pm>h_-S7pJXACt=r1cjoAMj9AHNwdu|Loiot~44!}Pzii+nJzqOb24 z`yb>}zvDE#7X7Z%B{pTm<}G6DPV&rzSugzTnfyPW6PxeRnoqgq>G7Y?4Ab&6HGf;8 ze_YEO6FUiF=POlXvqbAR(|R9r+#g45&LcL9^t}E0JPS3x6s>&9oe<;4sD5`HPfd88 zRwl38$<^1tTgTT?G`+OllC-0*`*Y_vZP!iO-uiugXU`PcbtU?vH10${S!Zead}9Ab zbvPQ`_gnW9J2A8})t7SVkI`zm`j_Uz0reZ^17|e)%g7t^(nLAmO4s;SjUOSutn9Ho z|2dj}wWF!O8%;2hc=8Br8^JF9v8o>yI5eWxf4^zuah|YBP__d zllXl+(KRMT ze-$=fjwu_k_-+h6j%zCM)LN{cgZn37vKS8z#jpEg>Tpb4igr`X{GR8xxDKoJ{njoq z;^-u7d>v-#_1Z=IwSAt&_mR<1{*LPBsWtk2s_Jg!N$F1VCgnWLyq0_lJn}4-rpCy>WGl_b3FK$`C*-Sr zHCju_XJ3C;s^%v0ydqBiI}N|vw2N_(_?U6xu4CMI`a4_U(-~Kxu8cEp592O;F-9I_ zTzXHj4o9amUX%UiNWNIjXN$qPvqZPDhz^k17I+UuAv%vP7!XRk z8cuv=M6^!phnMug`ZnlXnj!1)k2m0Zy>O<^V}-+r=Z_H0Xq^{RbzQ!U`O`VheCoVA znR>r6FPm0VCH5c9=W%YFE;_%cc|{!m4y|`szk-~ol-u{9dmJ6T-@c{agK4;*sPph# zsc&9KXIL@kH=4)eFTlV@YbTmT^Ql*b)|n*|TZ7TeLcg$7%7c9xcO-VFs`~vZXEw3* z74__I)SD=GTIum~(Y{jsn0jsru{jR|y?@=`zu(3G-$ReLMkf`m7dhW_M{Bjl`}Otx zhUOyuf104bg>t_WdOy%E_C9n5qIbU5`$)^<=)QoKwy#}6?2ps(_s|}LP8tUKdk4<< z^po3K%fskxr`&lKt-H~Dr~TWDI4CCem!S2N{vGin+PgH~KU><*xf$I{(VDFB0rJbl z*k?J_OSDbB(2kX2^)cZMy^Si0p zqbc7p93RWXqqkssIu^9UGRQSM@Qce4bEXbtDl6? zAy~Z{E5>5ME9gFr_N&-%-EwWyb@Kdck5C@}6YJGlJ-=S}J6;LLlfyA+grzU={Nh_N z=z&$uG1>|X9^~}}o3UaL7Q9Ql)IW-ebFem`9sLTlFGK6!v~ygqV~Y%=KkOv^RKFbK zgD~?D{g^!qy&vf3(xGU5OCD5iQokcV%w$aYg1m`8hS4v`D_5_Bsy|2btS^5zH~jvM z?~spPck(lS1M9WZiM$OyFOl{Sj*{1rX6QUZ-rK{}#&e}!WCi0Qp2Ii^T^N;e`?Z;( zIcElO-E`4CYntfYm@itVaxsMNf=LoPUG(pQ_xStT**aRv%_hdRbI~y3R)aaeQ(ydN zI^Nz1{bPJzv*O|mnJ+v6mgYnGk)^PP^bb6wHoO)&{`n4MO<+wRZ>vz}V`Fgw>o$EAi`1||`jbGO1 zQH!Q8ufw`kZLF_PHTu4UIhfDuY&Q)(VrQAU8m)1(pS4HZ@lS2vchRh%+%Z}{L*pyd zj%YIUaX-}aTIlg_(Eo;V|9y1+q2+&}bx4nYuO2~bsm6=7{}aR}SC3Cu?v{V$e|A#tpNGcM$9qA~+eg0n5n^+kJoF8D>8BH0_l>7LpPL|BpX&NsuKE1SXpTqF zT2H>4m$IneFdoj(@o{Vr<>7vKy^gDQZzOiEN9&?JGXAPM;vYAPX4S3OIU@S+F}|(N zI^M4vC*{E-uIRouiF!{?5xqO7;#}qxQ^kDaG@d2pp;Voh&SRc(^>;L)4)a|6A=Yhg zzRrJNF&`$o=sfuzf9J#>WFAfLVB~SLUsfMnB5|euPR-xn=a;xXf0)$6Kbe^OpikHPsIkLmZes=E=#wcJS~j{HIW#BZ3Y*8@9G5l0rIJq45f zuwgw-ZsmEG>Ux^;JFhobiYe`}_7B=4T#Vi++AX10==H-@%_y&^rG29UV{{;PLuEx*-`Z=b*OB6mu|Ht&cyrJuf<9hvDDDQS@*Tlp6eo~44yF_>^HsjbLDYkFQco!#~pu-JU8#L{s#Ix#NN%U z!`=&pa-QQ&7ya6N(Y()ia$a*OpU&UU)|F#9K4TOPVZF6pLvsP^t_kpFD0;c0#G@!oiR0CpKDnn;9r;RsA;{xR>2Le$|G(!MYOI%Cv~dC=0a@vJq;(EFXeu3wH52P ze?PI&-_x_EYWdr`zDG5lrp{!Y^N;Cy*&6Hn^8P0p_dyfqJg1Y|T8}@&`PNI68+|^` zX#Ib-a@?uY|0htJp+7+5mwBB|h}ij>qP|ngansPRXKDX#RhzPYS<}b^>qqjy`tKMXuZ9)HDCmd>V|VVI9oW_zpdOANxS-d-BkFNp;m1)x)|zZqs$Mh&(pa^!QSao7D|@ zt?^OK_af?<2i4j7IGr>;s^=B!c^Siay-W1}X{7)Ek-?N39ZxfKoOM#K?#=P1Zo#cO zK6_qG9J&hQKe3PA-FAQ}1!+M^}HpJwBLuH2N&_YIFtjZD`A4 zsc&9qK6aY0uDfS4e`n9alv|caJ?E^YVyriM`hIDxUVjwJER*AD*DM$PYOEcvyR!ju)c(KFZw7Z(peW%3|4-E_Au7jSQLYX?@#OZak4Yk$m7@j6Jv+4 z>bkX39={N)&%;a$WBswh#?($&)mF>D~QOc{ztLydL9WO!=JG zk=TrN6S3wbuRF5_tjsGHI8}by#|e{pPuj_x$_(rt#3&g5(Cx)P}uTs~iP%E@cLh&)fuB=4bmDsGEgne8*SN8?yj+5BBf28Q&%s96~muJYl z@b-1sCIfHih3UQVfj)RB6Kh!StxwgCgDLlh;t-w3u0xa5d9R7iga6UE#c1kJ)W6ej z}@w*{<;iXkDi9=lb}1y_I=RR+y}Z@IqSq9K&G(RR4MAMsXgC#yekp2m$e?td%ggVa8H{8(SDua9%RYN@|# zzwGZpy-#~$2kp0YYC#9egKMy9CyZ)&q$#m!hVizTY=N=XXdUAFuc6b4-5*&`($3u@ zdE0^ppJu|G)Pa)||6Po=5l^EbfkDZxYQtw-A5W z8{bh!3?aS;oo`1_fA?rijuCxl0`=N6Z#X}pc_3HHy;VBTTwfru{VDTNaC#x<+njaV~;^~in|oxv4yJoy#Y4qqv8 zVyBw6O5*S{7&(Miuhmjs5W|$C=<0f#(9i#?%GdCCajb2@dhK0;v3ck&Lh~F}@55Ss z|GYAvICxl(Yke<+xN-odwnXUDQ&L{L+ivG@P>RH577W-ob>(EEvd^T-z`oBVMuX8#!dll)3rXzeEdyj85{;eU~rq0QuJ zbPRbL8ABc?CXm0!85ZGqTBc}9dJzxkfacX#WPW(HONQw7!rum9tB7c_vWRbDeKo&~q5S+D%GbK0 z-)NHP^g`>~$&^2lCz@qbi1qzj=b?P+pF-=vG~)kEr`|h-#M_E6ZzkmvvEhAd^ZP8y zZ-|QanHXG&W*&OC=<%WGKc(>l=;o>ysbkbl=+8puFaCe$Vg6s|Dl}F4{8sAoYdu4r zkM%B^-}Uu8gr>8`K3Y3@{pQ~VoVQkOHdSJy??0QzXixttbwe)4YiW1$HTr|-7b{}| zkJoZMwi`?R+tB)CH1VUl{~4{`z<$QMP2C#d{PsiezD(@Y8~f<~Vd~AqW7DxN4Xvxu z`%TwLy+20k1$!j_28Hq0&RE_B$Dvt!3-PrM_R+XihQy|k#`}A6Jk%S{yOra!(8?M} zTsR2t8bZB^L$MR(&P~HOK2R;Eo;f<0^440f;dp;N|7_~}8}+;z6OFU58$Bn#9f}MWR)X=Ioggd*99CcxqG(I?oo}4>A139Ett2i*Y+TU#R)akD(Oi zOS|Fo^j6HL;Ud;^a{=pk;uuD|G9O2KFhBqOdpz>^rPb)pU&8Y^f2mld_Z3gsyiDS1 z{rkOC?^ohHzg)_lUaT+Gzhhldxs)fzvM$x^$GQhuzf$z`^zetPq+X#<0`kJRu!OLBv*Px`&^sD6GD+c8fb*ZUD8p7!5l`Y&k4`segXmZ5AM|Hc6y5gpYx?KfzxU9uq4xBr zvlug@^lRN2^k3<{nBIwg2*Lc>J7REJM_UWlW@0(DGy`tGPc-;&R#T?ShfYDYjDj%EM1Ikm!Z28 z_h+Hi0Z;wL^E&l8?tK;`MOc@KrKwo;3a__rCDsnaz0L7RD(%&}j`nO^rulvuW^bhZ z>-W$v^%rBcUYBC6r5`Jf(XWn;p>fn_*+mk2@1t{QvBYK}T6O4nxA8bnp*`?+i37c#t(SHO=T%Vd zEyurqPg%;X?OMM(`XBH(&UqT=q4|h%Z>#zUT7xy7i*|{+is$EDkM22W=JI;1S9zV* zEcD)`9fGOa9$(N-mR>g*+)Vq~KhdrY_gi-|=gI4^`_umZg=iLNzdWw}G*sdqJJ{N@vd2-{lpy^|9ia1 zIY#u?6Z?D7YJuib^fWKLkLh>25xSk|*WeuVN6?@4@ARj6Mf+9nlWT6HUxOX=r&+F! zRhQ{F_>6uHo<(D8ypDc$-f!q%435*kfrIu!?dK4B`{-xuV)U2O-}bxox7!V^D`!c2 zm~?ce(Et8djC-f8&I5JoZRCUXLV=vu@cF27h`ca`s$NIaaDQtjhdi-voy>VF$rooi z^N=|l~4%Vt4W>df6^Sz=`#G5srnv5X+WC#u)jI)^ctik<=H}%5O8?a3nGn-+b zHhU!BqFqJP>J}WT`Sp80iT!HLtE0oHUpP{9HfB@5T@K#ha(u&NtjiVs?o-6T$;Yf| zxSDz2|FuYB_p(`HVoOx?w$B#h+vbSQA9Ka%74yVoo}QJnOk$@^nHYZ>gY@MR`{5O0^d5{) zDwjC(IZR*7IvnWz<|EInl;c*5Rbpy2h8MDqmv&%%PrDE6^m8%$$+c2H`5R`x#lE04 z%zmNzMcmRnCiOx?@o*uo(eKR%PZPH|W4+X?=#E8sSo}|{^w8Rmr_SCW^;`c*+~R8D zL0MQj0MqsRFT1A`7nfn!;LcTO>Gy1c5yYi>Uh8aPw;dL@#13Ea{}#Q81@~gkTJ-h# zAM8iG@qDb)eQVY`yl$%qcWe99>3tJ}a@sF>lyMI5 ze_o4K3HmvH8dm3!2NnM$FYK?$mx4xEHweuq+Tlm7B67m2}bj0b-b3A>W z*xHsSvA5e5ttR6{|A$e;l>_n0Ow3J3^E&U}xji#v{<%lztKP$iZx|(-F*%~seYR+~ zV_vssG2b_QU&Q~dSdM!S&l9ba^F@C*>xn&>^(IKw^`}(Vr#D!)+$rej@AUqCpAR`d zxR&+LdKKL~*2zHc8xXdQ)Jsl9^8p6UmPmPg5ysv`^9Dv+EtTVu+tG`oy$)mdtIwe8 zV|*X_A7khRbvHWqpjC)bHPM;aoR6V47#!#MB)`O98iw-KKlJtN!o*sP=-XfXb?iI*lk7K~C|Vr~q@L01vwZ#jyuXlrsJ|qa$N6v)^?q{k z=s3!sAA?_w#Jfk}?jiV2CbsQ`(XN=<5+A!}&;Q1!djtJy-%G!GVf2U4uXbCshS9GL zf3Mih>0eLpYiOTFKl(pt|LN}{o0asJUqe5+jnO+-`)!<#=ilfj|A6*aAMK|s9sf6> zyP5t9wrKyoNI!WC(HX6lX#Z8xZ~k#~Tc{~$^{4-=R;s?w?r)wc?POj-{}b)kwe+Vs z4K012+<%{bHMQtBe6OzIdbeWw+v%z5_1q2jOLJCD<^PLo{~yVd*iVuN&Perl^1*ou z{r#F3UB*j&>kjo0`C)RhdE8XZ6TN=Hx>@t&SDl|*IGq1jXH2*8$@Y6>9zW1iG>N{% zKMuk@!zf=j5|?LFUN=FsKb?g7y$a{QQzUk~P7}@M>7w6gCh9&h`F2#|$bdPbTQ^q> z4Vy>3&*qEH_(h_3;ca51^&O&F!+KeNF6(IcHw>Dx&L;O^_OE49KXl)6v8KxkG4>|f zFO*B1+*85vl`F**y>2+shW$aMem^PYz#2JjZDv1_HgBE81sUu=%5?v>b8Jk?W6xvO zCF>=23$X3G*i_$lTRe4x9RK=J%sclki4()Hej#o=f(7k1%JIVkv2+IR*Z0dZ_Y?1Y z2_uc}mijxdz(GAQD8Z(sn6nitRI`iNeF}F!hCTIoau<(Zqwm8l*5?yGTc1xI&-d`X zXeMK*J?{OA*ITOJzwR)JINS`APts0_A}meA+A7+$#dP#e!%z|ZU_Va3n9t~^`ZKY1 z2K`rgH~pIS)hcP1ObfFwrvD2Dkq`Cy{i={&XBVDJ9@S4Hul$XgZ~8fJfquRlI!u11 zH%CwJ_Y`?$vHXAG`xc6cuS>Xk6(}DTV`CR8o z{an%?I9uv_J(-uStC+w29>qM~1M@`t?fIfRpoID_mWtM^tSi>HfMtUtjsXfI-Y zvNp0_xo@+M*~5*TAH0N)yF}thwfY14ot8>@aten2iT*M4j$lmV@Co9e*)kr#2fCM| z(-9;6w7dg`TVe2nKJFRBW+!pzVYG*8+*RYVHSWaoji06d%IoqTM!TcF-nLqPJMG}y zi0)$A$C*!i`G06T&O&bw?Q1=#>vCY3>MH&)=agA{wGG@NzI=bXr_=??we@ZYo4`5=SnSqIV$~RTBG$U`!%x$ z{gX2}-a^a&OYBV3@*ii&alcsYhR$2M54c0eHZ{ z+qS}!RrJE8)NjH(T(uu- zH0V_qX2lIbwh;^a%V%CY$V;K5jt<ZfbX~XdSpV{#!2L;dI&YNoJpH`Pe~P&F9W47%ZFRTQ zJ3I`l7h>HSj2*(gA7c<;T%j*<0E*g98=OTrx6ysNV}FU#>T(W{{DlwxErp~ z_m2+8Vzh5xtkB=T3eKTFt0vIDsb%zc+A{jz(ch=6`H?&c|3%(}uEiAned&UW$S>2J ze2ev4F8^QY1>|Gu8RTcsn!NRN{~GB`UfUhX^W@o!<-9~4;~{icDe;Aj7rS?{#Qynn z#H1S)?H-IfZ%cv1!SpGjmCJZFr?MsXqr*jWPG62+lY!Qo%nM7qXUM!zFjzEwMiI9g zL%fOk$a;f$%6f|V%hJD#%*+|o)B8GjCud9S?_gf{HWl-D%jZ%4!FytlA*R6f5WA<@f-@atMv)|Hnu-wS`3H{w4f2gjb-Iq#vvK(Uv&|J4n%HwO$dl`c> z%Xl97=)Hl7oftZa$t#yjy{LrQn5#wVeFnZ~zZSnp35 zKgRzb{TgFG^SmQ}qP+v7lhN1xiqnEP`97~dtiOj~h7r46&~A#cU9?}a41?(y>Wt32 zw70zgliks}7`<0?UvjJV&qeC%x=(ph`|lDppkGaY^bTl$k3(k=nti%Y{0W0q=$)!spL==wxtD!`=3~QsnB%%n+Nka$Z=ETseja9b zBDPM)U^02`S(@+PlK<9hH5I)xFi6*NvW@+b{TAaVSccBCj4SIO80h!s&Bg3%{JHE? z{Auh*{J-+a>*KoL_$^mr=TDdNPjq~DRUgiha(C#YJ^z~z+(e$}t6Yq?lAi*?<-iFvv5DAt|Dx?brppV#VrgR8D$zArtO`9D?vj@+TYe^l^O zOdi){t{1nyf+>1k$X0KIl!x2gC6?(rRr4~*|oUwN(^gx)>Xvu z|8U-^S227KrY^@5bI>1vk$$+pEhf*!l>I#Kvd1y8Ok;hWwU-bV>po=nCfXr;5ib5& z+ix>A9)+>fasNNH{d=Kvn0{%vubY3B#?R4zt#8CF`gvO7TKd`3&yi|YkQWWt&y_w% z-c;)KSk6B70crYqVA^ZsU3x8f7}`r-nnUDi#XaP0`VsOt3A)}P zI`1U^!;Mu+vec@sQCA|$6nJY_oj%!>yt%m#dy(qV-#^{DAwPM zrVZ}sk|FEAKR`6Ej=*omihf__3+o@uA7+@&Ck@x(d{;=l4a`H{P$GJpm{%>GmmBT_?YCbn$K4v%hv0YC4eLqPmEcmt@hWt#V4X6nF}x404A!?` zGsYV&lk+0__q$t2Y>hzw6?FA?g~F$Z<#RAG5Y04Gn~==1vpo#W`fh2}H#wxRtdM&szr#o#uKOhCV$b_w4|9M<VUAN&Z%tuyp^pn3B>M)Y$*dl9j}1-;g2 zufX6jjk}@sIQi&xK>NSCznO^c$GX3H6wTSHUUy|4(|wJ<;|HZv43zjkJAmUZoCg-^<{tHyu|wx{(l(9=9OF?XNQX?824rr z^MEz;R?2I-s~7B%`Qq*jOk-a0^*R&lr3q5*&dn9gx9lHG4S%orvJDg{udWdzFW>8v=P1I=nrANOx%g~C)l(7W~rak0kaA)xg8fj zk3H)!$7Y=mU4REOuwXD&49DULm{o#x^YFxYjE%%2Sr}E<^d>H9j|FF8(Yia-Z^|&`d zfBAa-%c*1ZWBNkv&#TdYi2iP@*I8GMBrn2ulPAGU-am-0(|tn@`_IxHZ>T>-o~Ior?@O;mPv1Xi_`PvbccUUMZ5xwA!oXq0-p7?*aH?js(XD&;{wV&zcL>>5dYOAhhVlZeC2KmOEw;-%9?=lL0;H#REzYiEmgmpP(4Y_4eO zzQP3ai1qpbJ6cdDco>Eam>|Xs0k=o9D4%UQeXyJbwk+bJ5+7p|>@@ zm~|!Ga9u_Lap+0(!%OA=i(H0@8`Rkt_Ry}>@}{iE)=6SlKc8^hQ0{a`TYq=cAFbts z(R~`de`&0S_7W$4z^LwP5^dRMB%V}HTQ1MH;dd8f0p;GmG5#vX{={e->L>L)OMidM zJCkxR4MW#qtl|BWQN&?=U&ZcA?DR&zCnknqYzD@2(9`!LED z^te91#6`q@bF|LK&`t$Dqce7D-pmwxl~dUt<2|%Wtmxfl=%StRs`?cijhAXJ$!kwd{|XopD{-9vRdl-Xx;HcLB<`6bvH7Ez^ExtLd2!Z%uP1*Oh3DQb$Gu!5*50;6430BD*0wB@xbzsN z&t4&M#a-oM!}qGHb=^;WfqB{flzBRF`dX=%ei8F|O*@_6zr~z8ng0*!=lZr@$GEr& z>&L14Fme&=O7(KAJ%{yY?;z~?Ahx)U^(h|3p89^fcLVEL%_fXKk0!KPo?l8I%(@*< zy@TFg*t&D2)N5F$qYn_5y^pE?xJQnsornHxtlW$#TQE|KtrNKQQ`~FaE9cjrgH6vv zTg#KbYrStUei$1b$9jo)vB6|HIs?$U0MowG*YP6em0{x>vGs+xSoaS_ck%jnkHiya z;K2uIzqa%6>qgk+9@>4)G_1P}cgE?T#bM0S>o0cBp+C#?^N8%{=Vws!Rx4Ng6)BYck=b5$a z6C!$lne2}k7o`UoC+?%{mt#+}e>S!3r_IR)@;HgvrPy=67{0R@SIiZ?=xotGHIsOE zA+BIQZ#h#Www{_KI$Lu@f9xpYqr*9VRUiDRGdigmGH>+iE1KpJ;?qYFPtOsZN}Y$! z&*k{mDWZR(fVf$qXg+2h3-(4i{?lyApO_=sPs|mA#l@o2iG6}Ue!j&1FD2B|>l2)9 z%%^6T&aY4Deqj*vuI(=7yuD~YbDPA$U(DA*Q|50g)kt|v_Ycmq#F0-ie8Cbq?v26t z3uxZMXmi$$L=M`IsvFdA^!UZBH)aM#b1_+p&PfcuL@SN;E2Qr$coAanVf6KL4{HIj z`??(n}y~O{bJvy{iOSp zU?TnQ-$%ZfW|}vJCtEHQqj~Hb8t%su`@l$f&09-Ex9c*oVojNtx@x%?N~{oTKQ9;U_AAB8{>;a| ze*Zf9)*31I^?oPekD1R?6U^`Ka_0TTZPrV@t(!4+;RcC!%)*|!U&vm@`cnT1w&=T2 z>UsM8*``V2g1M|yYxMfO`iof4DyCuOYgl{*>z`YO6+1EY^h$Z$%5Ipx1b2UkJO0q) z7qbq>`(o=mu;w+)dlzG;vHrI`AA=0s(gW-IV{|em@5h2t+`kB8cVgxO%vq+6!L53J z#Sr4EvDo%n+*!}_Nq&Z@y3eSaOI$DsxBkrQD>{USpTrK6aAOx$_fz3*wA+!|bo$~;WwqW>BFx3>%I{(ffi74o+9IrhD&dLO{j6!N>mVSLo3GG5{>**|zC zjHkqjg_1wXISWMV$`aAfoF|6%%@y61vnhX`@#@TF9D5PQweL=liGf literal 0 HcmV?d00001 diff --git a/periodogram/acf.py b/periodogram/acf.py index b315dde..ab0e047 100755 --- a/periodogram/acf.py +++ b/periodogram/acf.py @@ -57,8 +57,10 @@ def fit(self, t, y, dy=None, filts=None): self.lag = np.arange(maxlag) * self.cadence - self.power_fn = interpolate(self.ac, self.lag, s=0, k=1) + self.power_fn = interpolate(self.lag, self.ac, s=0, k=1) + return self + def score(self, period): """Compute the score for a period or array of periods""" if self.power_fn is None: From 8f69cbe1be6e4869ae084a51071e454c9999a6fa Mon Sep 17 00:00:00 2001 From: Timothy Morton Date: Sun, 11 Jan 2015 14:06:54 -0500 Subject: [PATCH 04/16] added period_search() to notebook --- examples/ACFExample.ipynb | 34 +++++++++++++++++++++++++++------- 1 file changed, 27 insertions(+), 7 deletions(-) diff --git a/examples/ACFExample.ipynb b/examples/ACFExample.ipynb index 99af7e5..a6e3f2b 100644 --- a/examples/ACFExample.ipynb +++ b/examples/ACFExample.ipynb @@ -1,7 +1,7 @@ { "metadata": { "name": "", - "signature": "sha256:2b0915c403ea6602b1f819974fda084d3e076a014534da1051cbe5ca8556c981" + "signature": "sha256:d3150636ae714942f04e33d9af7d78ff10e7d05dee64f5cf80b28c4e5598c7ee" }, "nbformat": 3, "nbformat_minor": 0, @@ -36,7 +36,7 @@ "metadata": {}, "source": [ "## The Data\n", - "Exmple data will be Q1-Q15 photometry of KOI-63. Using Kepler data because the straight-up ACF requires evenly-sampled data. This data is pre-conditioned to have no gaps (gaps have been set to zero)." + "Exmple data will be Q1-Q15 photometry of KOI-63. We're using Kepler data as the example because the straight-up ACF requires evenly-sampled data. This data is pre-conditioned to have no gaps (gaps have been set to zero)." ] }, { @@ -60,11 +60,11 @@ "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAgUAAAFtCAYAAACX0xmnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\njQJCCCGE+NAoIIQQQggA4P8Ds+I1AwvjKMkAAAAASUVORK5CYII=\n", "text": [ - "" + "" ] } ], - "prompt_number": 2 + "prompt_number": 25 }, { "cell_type": "code", @@ -77,7 +77,7 @@ "language": "python", "metadata": {}, "outputs": [], - "prompt_number": 3 + "prompt_number": 26 }, { "cell_type": "code", @@ -98,11 +98,31 @@ "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAesAAAFVCAYAAADPM8ekAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", "text": [ - "" + "" ] } ], - "prompt_number": 24 + "prompt_number": 27 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "model.period_search()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 28, + "text": [ + "5.2718590692384169" + ] + } + ], + "prompt_number": 28 }, { "cell_type": "code", From 812834e9be973b7dd4d6386b198f91998fb626d6 Mon Sep 17 00:00:00 2001 From: Timothy Morton Date: Wed, 14 Jan 2015 12:45:43 -0500 Subject: [PATCH 05/16] implemented scargle and EK ACFs; havent tested yet --- periodogram/acf.py | 78 +++++++++++++++++++++++++++-------- periodogram/tests/test_acf.py | 8 +++- 2 files changed, 67 insertions(+), 19 deletions(-) diff --git a/periodogram/acf.py b/periodogram/acf.py index ab0e047..a67233b 100755 --- a/periodogram/acf.py +++ b/periodogram/acf.py @@ -12,53 +12,96 @@ import logging import acor +from astroML.time_series import ACF_scargle, ACF_EK from .findpeaks import peakdetect from .base import PeriodicModeler - - class ACF(PeriodicModeler): """ Autocorrelation function for periodic modeling. - This can only deal with evenly sampled data. Use ACFUneven - for implementation of Scargle (1989) ACF for uneven time sampling. + Requires evenly sampled data. For non evenly sampled data, + use ACF_scargle or ACF_EK. + + Parameters + ---------- + + maxlag : float, optional + Maximum period to search for. If not provided, then will + default to 1/2 data span. + method : 'standard', 'scargle' or 'EK', optional + Method to use to calculate ACF. If standard is chosen + then data must be evenly sampled. + + smooth : int + Number of cadences over which to smooth output result. + Only implemented right now for 'standard' method. """ - def __init__(self, maxlag=None, smooth=None): + def __init__(self, maxlag=None, method='standard', + smooth=None, + n_omega=2**10, omega_max=100, bins=20): self.maxlag = maxlag self.smooth = smooth + if method not in ['standard','scargle','EK']: + raise ValueError('Unrecognized method {}'.format(method)) + self.method = method + + if self.method=='scargle': + self.n_omega = n_omega + self.omega_max = omega_max + elif self.method=='EK': + self.bins = bins + self.power_fn = None - def fit(self, t, y, dy=None, filts=None): + def fit(self, t, y, dy=None): """Data must be evenly sampled. """ - - #TODO: add real test to see if data is evenly sampled with no gaps - # for now, just assume it is - + self.t = np.atleast_1d(t) self.y = np.atleast_1d(y) self.dy = dy #ignored + #set default max lag to be 1/2 total span of observation, if not otherwise set if self.maxlag is None: - maxlag = len(self.y) + maxlag = (self.t[-1] - self.t[0])/2. else: maxlag = self.maxlag - self.cadence = np.median(self.t[1:] - self.t[:-1]) - - self.ac = acor.function(self.y, maxlag) + if self.method=='standard': + #TODO: add test to make sure data is evenly sampled + + self.cadence = np.median(self.t[1:] - self.t[:-1]) + + n_maxlag = int(maxlag/self.cadence) + self.ac = acor.function(self.y, n_maxlag) + self.lag = np.arange(n_maxlag) * self.cadence + + elif self.method=='scargle': + ac, lag = ACF_scargle(t, y, dy, + n_omega=self.n_omega, omega_max=self.omega_max) + ind = (lag >= 0) & (lag <= self.maxlag) + self.ac = ac[ind] + self.lag = lag[ind] + + elif self.method=='EK': + self.ac, self.ac_err, bins = ACF_EK(t, y, dy, bins=self.bins) + self.lag = 0.5 * (bins[1:] + bins[:-1]) + + if self.smooth is not None: - ac = gaussian_filter(ac, smooth) - - self.lag = np.arange(maxlag) * self.cadence + if self.method != 'standard': + raise NotImplementedError('smooth kwarg not implemented for {} method'.format(self.method)) + self.ac = gaussian_filter(self.ac, smooth) + self.power_fn = interpolate(self.lag, self.ac, s=0, k=1) + return self def score(self, period): @@ -84,7 +127,6 @@ def period_search(self, lookahead=5): else: return peaks[0] - def peaks_and_lphs(y, x=None, lookahead=5, return_heights=False): diff --git a/periodogram/tests/test_acf.py b/periodogram/tests/test_acf.py index cfa2fef..3b7e6a3 100644 --- a/periodogram/tests/test_acf.py +++ b/periodogram/tests/test_acf.py @@ -18,11 +18,17 @@ def make_sine(N=1000, P=100, err=0.05, rseed=None): return t,y -def test_single_sine(P=100): +def test_single_sine_standard(P=100): t,y = make_sine(P=P) a = ACF() a.fit(t,y) pbest = a.period_search() assert_allclose(pbest, P, 0.01) +#def test_single_sine_scargle(P=100): +# t,y = make_sine(P=P) +# a = ACF() +# a.fit(t,y) +# pbest = a.period_search() +# assert_allclose(pbest, P, 0.01) From c99e8ce4354df78a4429dbdd3a2a7c09496fcc53 Mon Sep 17 00:00:00 2001 From: Timothy Morton Date: Wed, 14 Jan 2015 14:57:54 -0500 Subject: [PATCH 06/16] added test notebook for ACF_scargle, with a few questions. --- examples/ACFExample.ipynb | 142 ++++++++++++++++++++++++++++++- examples/ACF_scargle_test.ipynb | 144 ++++++++++++++++++++++++++++++++ periodogram/acf.py | 41 ++++++--- periodogram/tests/test_acf.py | 14 ++-- 4 files changed, 324 insertions(+), 17 deletions(-) create mode 100644 examples/ACF_scargle_test.ipynb diff --git a/examples/ACFExample.ipynb b/examples/ACFExample.ipynb index a6e3f2b..3833146 100644 --- a/examples/ACFExample.ipynb +++ b/examples/ACFExample.ipynb @@ -1,7 +1,7 @@ { "metadata": { "name": "", - "signature": "sha256:d3150636ae714942f04e33d9af7d78ff10e7d05dee64f5cf80b28c4e5598c7ee" + "signature": "sha256:035a58415b36f021fb5ccc3008443937295c37ecabd0efd0d3963682d31c14ab" }, "nbformat": 3, "nbformat_minor": 0, @@ -124,6 +124,146 @@ ], "prompt_number": 28 }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "pwd" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 30, + "text": [ + "u'/Users/tdm/repositories/periodogram/examples'" + ] + } + ], + "prompt_number": 30 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "cd /Users/tdm/repositories/periodogram" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stdout", + "text": [ + "/Users/tdm/repositories/periodogram\n" + ] + } + ], + "prompt_number": 1 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "import periodogram.tests.test_acf as test\n", + "from periodogram.acf import ACF" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stderr", + "text": [ + "/Users/tdm/anaconda/lib/python2.7/site-packages/astroML/time_series/periodogram.py:8: UserWarning: Using slow version of lomb_scargle. Install astroML_addons to use an optimized version\n", + " warnings.warn(\"Using slow version of lomb_scargle. Install astroML_addons \"\n" + ] + } + ], + "prompt_number": 2 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "t,y = test.make_sine(P=100, even=False)\n", + "a = ACF(method='scargle', omega_max=100, n_omega=10000)\n", + "a.fit(t,y)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 3, + "text": [ + "" + ] + } + ], + "prompt_number": 3 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "plt.plot(a.lag,a.ac)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 4, + "text": [ + "[]" + ] + }, + { + "metadata": {}, + "output_type": "display_data", + "png": "iVBORw0KGgoAAAANSUhEUgAAAXsAAAELCAYAAAA4HCbKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", + "text": [ + "" + ] + } + ], + "prompt_number": 4 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "plt.plot(a.t,a.y)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 5, + "text": [ + "[]" + ] + }, + { + "metadata": {}, + "output_type": "display_data", + "png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAEFCAYAAAD9mKAdAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQRAEIRERCkEQBCGR/w/iUk/RRdQupwAAAABJRU5ErkJggg==\n", + "text": [ + "" + ] + } + ], + "prompt_number": 5 + }, { "cell_type": "code", "collapsed": false, diff --git a/examples/ACF_scargle_test.ipynb b/examples/ACF_scargle_test.ipynb new file mode 100644 index 0000000..f85757a --- /dev/null +++ b/examples/ACF_scargle_test.ipynb @@ -0,0 +1,144 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:38d80c06f429cf1a2e59767f84babd457efe84d8f6f4771552663473492dc059" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%matplotlib inline\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# use seaborn for matplotlib settings\n", + "import seaborn; seaborn.set()" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 1 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# add up-directory to Python path\n", + "import sys, os; sys.path.append(os.path.abspath('..'))\n", + "from periodogram.acf import ACF" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stderr", + "text": [ + "/Users/tdm/anaconda/lib/python2.7/site-packages/astroML/time_series/periodogram.py:8: UserWarning: Using slow version of lomb_scargle. Install astroML_addons to use an optimized version\n", + " warnings.warn(\"Using slow version of lomb_scargle. Install astroML_addons \"\n" + ] + } + ], + "prompt_number": 2 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "def make_sine(N=1000, P=100, err=0.05, rseed=None, even=True):\n", + " rng = np.random.RandomState(rseed)\n", + "\n", + " if even:\n", + " t = np.arange(N) #evenly-sampled data\n", + " else:\n", + " t = np.sort(rng.rand(N)*N)\n", + " y = np.ones(len(t))\n", + " \n", + " y *= np.sin(2*np.pi*t/P)\n", + " y += rng.randn(N)*err\n", + " \n", + " return t,y" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 3 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "t,y = make_sine(N=1000, P=100, even=False)\n", + "a = ACF(method='scargle', omega_max=10, smooth=10)\n", + "a.fit(t,y+1)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 7, + "text": [ + "" + ] + } + ], + "prompt_number": 7 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "plt.subplot(121)\n", + "plt.plot(t,y,'.')\n", + "plt.subplot(122)\n", + "plt.plot(a.lag,a.ac)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 9, + "text": [ + "[]" + ] + }, + { + "metadata": {}, + "output_type": "display_data", + "png": "iVBORw0KGgoAAAANSUhEUgAAAe4AAAFbCAYAAAATEG2QAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAABJRU5ErkJggg==\n", + "text": [ + "" + ] + } + ], + "prompt_number": 9 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "So this is a bit odd; I would have expected there to be a maximum at lag $t=100$, not a minimum. Could there be some sign bug in the ACF_scargle code somewhere? Or is this supposed to be inverted? Also funny that the peaks are of increasing height. Is this just a quirk of the method?" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file diff --git a/periodogram/acf.py b/periodogram/acf.py index a67233b..c27ae30 100755 --- a/periodogram/acf.py +++ b/periodogram/acf.py @@ -7,7 +7,7 @@ import matplotlib.pyplot as plt from scipy.interpolate import UnivariateSpline as interpolate -from scipy.ndimage.filters import gaussian_filter +from scipy.ndimage.filters import gaussian_filter, median_filter import logging @@ -37,12 +37,15 @@ class ACF(PeriodicModeler): smooth : int Number of cadences over which to smooth output result. - Only implemented right now for 'standard' method. + Only implemented right now for 'standard', 'scargle' methods. + For 'standard' method, this will run a gaussian filter with + given width over the acf; for 'scargle' it will first median-smooth, + then gaussian-smooth. """ def __init__(self, maxlag=None, method='standard', smooth=None, - n_omega=2**10, omega_max=100, bins=20): + n_omega=2**12, omega_max=100, bins=20): self.maxlag = maxlag self.smooth = smooth @@ -82,25 +85,41 @@ def fit(self, t, y, dy=None): self.lag = np.arange(n_maxlag) * self.cadence elif self.method=='scargle': + if dy is None: + dy = 1 + ac, lag = ACF_scargle(t, y, dy, - n_omega=self.n_omega, omega_max=self.omega_max) - ind = (lag >= 0) & (lag <= self.maxlag) + n_omega=self.n_omega, + omega_max=self.omega_max) + #print(ac,lag) + ind = (lag >= 0) & (lag <= maxlag) self.ac = ac[ind] self.lag = lag[ind] elif self.method=='EK': + if dy is None: + dy = 1 self.ac, self.ac_err, bins = ACF_EK(t, y, dy, bins=self.bins) self.lag = 0.5 * (bins[1:] + bins[:-1]) if self.smooth is not None: - if self.method != 'standard': - raise NotImplementedError('smooth kwarg not implemented for {} method'.format(self.method)) - self.ac = gaussian_filter(self.ac, smooth) - - - self.power_fn = interpolate(self.lag, self.ac, s=0, k=1) + if self.method == 'EK': + raise NotImplementedError('smooth kwarg not implemented for EK method') + if self.method=='standard': + self.ac = gaussian_filter(self.ac, self.smooth) + if self.method=='scargle': + #median smooth first, because you can get crazy spikes + self.ac = median_filter(self.ac, self.smooth) + #then gaussian-smooth too...(should this not be automatic?) + self.ac = gaussian_filter(self.ac, self.smooth) + + + try: + self.power_fn = interpolate(self.lag, self.ac, s=0, k=1) + except: + print('Error generating interpolation function: {}, {}'.format(self.lag, self.ac)) return self diff --git a/periodogram/tests/test_acf.py b/periodogram/tests/test_acf.py index 3b7e6a3..4abcf6c 100644 --- a/periodogram/tests/test_acf.py +++ b/periodogram/tests/test_acf.py @@ -7,10 +7,13 @@ from ..acf import ACF -def make_sine(N=1000, P=100, err=0.05, rseed=None): +def make_sine(N=1000, P=100, err=0.05, rseed=None, even=True): rng = np.random.RandomState(rseed) - - t = np.arange(N) #evenly-sampled data + + if even: + t = np.arange(N) #evenly-sampled data + else: + t = np.sort(rng.rand(N)*N) y = np.ones(len(t)) y *= np.sin(2*np.pi*t/P) @@ -25,9 +28,10 @@ def test_single_sine_standard(P=100): pbest = a.period_search() assert_allclose(pbest, P, 0.01) +## TODO #def test_single_sine_scargle(P=100): -# t,y = make_sine(P=P) -# a = ACF() +# t,y = make_sine(P=P, even=False) +# a = ACF(method='scargle') # a.fit(t,y) # pbest = a.period_search() # assert_allclose(pbest, P, 0.01) From 18f2a91d945f003b060f9cb10186b578e7a37cf9 Mon Sep 17 00:00:00 2001 From: Timothy Morton Date: Wed, 14 Jan 2015 15:03:20 -0500 Subject: [PATCH 07/16] minor edit --- examples/ACF_scargle_test.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/examples/ACF_scargle_test.ipynb b/examples/ACF_scargle_test.ipynb index f85757a..8519af0 100644 --- a/examples/ACF_scargle_test.ipynb +++ b/examples/ACF_scargle_test.ipynb @@ -1,7 +1,7 @@ { "metadata": { "name": "", - "signature": "sha256:38d80c06f429cf1a2e59767f84babd457efe84d8f6f4771552663473492dc059" + "signature": "sha256:eb23310bec65bcc557554d64f061889c68e859eee9ba20cdd58a63b846c23c95" }, "nbformat": 3, "nbformat_minor": 0, @@ -74,7 +74,7 @@ "collapsed": false, "input": [ "t,y = make_sine(N=1000, P=100, even=False)\n", - "a = ACF(method='scargle', omega_max=10, smooth=10)\n", + "a = ACF(method='scargle', omega_max=10, smooth=10) #median- and gaussian-smoothed b/c of crazy peaks.\n", "a.fit(t,y+1)" ], "language": "python", From 0b67925edac7acbb7558bffb7267ba3e6c13b13f Mon Sep 17 00:00:00 2001 From: Timothy Morton Date: Wed, 14 Jan 2015 15:30:04 -0500 Subject: [PATCH 08/16] minor edit --- examples/ACF_scargle_test.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/examples/ACF_scargle_test.ipynb b/examples/ACF_scargle_test.ipynb index 8519af0..2c37f4f 100644 --- a/examples/ACF_scargle_test.ipynb +++ b/examples/ACF_scargle_test.ipynb @@ -1,7 +1,7 @@ { "metadata": { "name": "", - "signature": "sha256:eb23310bec65bcc557554d64f061889c68e859eee9ba20cdd58a63b846c23c95" + "signature": "sha256:a77ebb90a59365ad57dc2fd88eab9c29baee4181dd4bc1418f4f562b69edb7e4" }, "nbformat": 3, "nbformat_minor": 0, @@ -75,7 +75,7 @@ "input": [ "t,y = make_sine(N=1000, P=100, even=False)\n", "a = ACF(method='scargle', omega_max=10, smooth=10) #median- and gaussian-smoothed b/c of crazy peaks.\n", - "a.fit(t,y+1)" + "a.fit(t,y)" ], "language": "python", "metadata": {}, From 26a8eeb69043cd9a6706be9ad5d6527a3ae2524e Mon Sep 17 00:00:00 2001 From: Timothy Morton Date: Wed, 14 Jan 2015 16:00:17 -0500 Subject: [PATCH 09/16] changed meaning of smooth parameter to be consistent with different methods --- examples/ACF_scargle_test.ipynb | 144 -------------------------------- periodogram/acf.py | 41 +++++---- 2 files changed, 27 insertions(+), 158 deletions(-) delete mode 100644 examples/ACF_scargle_test.ipynb diff --git a/examples/ACF_scargle_test.ipynb b/examples/ACF_scargle_test.ipynb deleted file mode 100644 index 2c37f4f..0000000 --- a/examples/ACF_scargle_test.ipynb +++ /dev/null @@ -1,144 +0,0 @@ -{ - "metadata": { - "name": "", - "signature": "sha256:a77ebb90a59365ad57dc2fd88eab9c29baee4181dd4bc1418f4f562b69edb7e4" - }, - "nbformat": 3, - "nbformat_minor": 0, - "worksheets": [ - { - "cells": [ - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%matplotlib inline\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", - "# use seaborn for matplotlib settings\n", - "import seaborn; seaborn.set()" - ], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 1 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "# add up-directory to Python path\n", - "import sys, os; sys.path.append(os.path.abspath('..'))\n", - "from periodogram.acf import ACF" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stderr", - "text": [ - "/Users/tdm/anaconda/lib/python2.7/site-packages/astroML/time_series/periodogram.py:8: UserWarning: Using slow version of lomb_scargle. Install astroML_addons to use an optimized version\n", - " warnings.warn(\"Using slow version of lomb_scargle. Install astroML_addons \"\n" - ] - } - ], - "prompt_number": 2 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "def make_sine(N=1000, P=100, err=0.05, rseed=None, even=True):\n", - " rng = np.random.RandomState(rseed)\n", - "\n", - " if even:\n", - " t = np.arange(N) #evenly-sampled data\n", - " else:\n", - " t = np.sort(rng.rand(N)*N)\n", - " y = np.ones(len(t))\n", - " \n", - " y *= np.sin(2*np.pi*t/P)\n", - " y += rng.randn(N)*err\n", - " \n", - " return t,y" - ], - "language": "python", - "metadata": {}, - "outputs": [], - "prompt_number": 3 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "t,y = make_sine(N=1000, P=100, even=False)\n", - "a = ACF(method='scargle', omega_max=10, smooth=10) #median- and gaussian-smoothed b/c of crazy peaks.\n", - "a.fit(t,y)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 7, - "text": [ - "" - ] - } - ], - "prompt_number": 7 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "plt.subplot(121)\n", - "plt.plot(t,y,'.')\n", - "plt.subplot(122)\n", - "plt.plot(a.lag,a.ac)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 9, - "text": [ - "[]" - ] - }, - { - "metadata": {}, - "output_type": "display_data", - "png": "iVBORw0KGgoAAAANSUhEUgAAAe4AAAFbCAYAAAATEG2QAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAABJRU5ErkJggg==\n", - "text": [ - "" - ] - } - ], - "prompt_number": 9 - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "So this is a bit odd; I would have expected there to be a maximum at lag $t=100$, not a minimum. Could there be some sign bug in the ACF_scargle code somewhere? Or is this supposed to be inverted? Also funny that the peaks are of increasing height. Is this just a quirk of the method?" - ] - }, - { - "cell_type": "code", - "collapsed": false, - "input": [], - "language": "python", - "metadata": {}, - "outputs": [] - } - ], - "metadata": {} - } - ] -} \ No newline at end of file diff --git a/periodogram/acf.py b/periodogram/acf.py index c27ae30..340815a 100755 --- a/periodogram/acf.py +++ b/periodogram/acf.py @@ -35,17 +35,16 @@ class ACF(PeriodicModeler): Method to use to calculate ACF. If standard is chosen then data must be evenly sampled. - smooth : int - Number of cadences over which to smooth output result. - Only implemented right now for 'standard', 'scargle' methods. - For 'standard' method, this will run a gaussian filter with + smooth : float + Timescale over which to smooth ACF. + For 'standard' or 'EK' method, this will run a gaussian filter with given width over the acf; for 'scargle' it will first median-smooth, then gaussian-smooth. """ def __init__(self, maxlag=None, method='standard', smooth=None, - n_omega=2**12, omega_max=100, bins=20): + n_omega=2**12, omega_max=100, bins=None): self.maxlag = maxlag self.smooth = smooth @@ -99,20 +98,34 @@ def fit(self, t, y, dy=None): elif self.method=='EK': if dy is None: dy = 1 - self.ac, self.ac_err, bins = ACF_EK(t, y, dy, bins=self.bins) - self.lag = 0.5 * (bins[1:] + bins[:-1]) - + + if self.bins is None: + bins = np.linspace(0, maxlag, 500) + else: + bins = self.bins + ac, ac_err, bins = ACF_EK(t, y, dy, bins=bins) + lag = 0.5 * (bins[1:] + bins[:-1]) + ind = (lag >=0) & (lag <= maxlag) + self.ac = ac[ind] + self.lag = lag[ind] + self.ac_err = ac_err[ind] + if self.smooth is not None: if self.method == 'EK': - raise NotImplementedError('smooth kwarg not implemented for EK method') + dlag = self.lag[1]-self.lag[0] #assuming evenly spaced bins + kern_width = self.smooth//dlag + self.ac = gaussian_filter(self.ac, kern_width) if self.method=='standard': - self.ac = gaussian_filter(self.ac, self.smooth) + kern_width = self.smooth / self.cadence + self.ac = gaussian_filter(self.ac, kern_width) if self.method=='scargle': - #median smooth first, because you can get crazy spikes - self.ac = median_filter(self.ac, self.smooth) - #then gaussian-smooth too...(should this not be automatic?) - self.ac = gaussian_filter(self.ac, self.smooth) + #median smooth first, because you can get crazy spikes, + # then gaussian-smooth + dlag = self.lag[1]-self.lag[0] #assuming evenly spaced bins + kern_width = self.smooth//dlag + self.ac = median_filter(self.ac, kern_width) + self.ac = gaussian_filter(self.ac, kern_width) From 2b0cb197e21f2436e690e5167c464299ac757aa2 Mon Sep 17 00:00:00 2001 From: Timothy Morton Date: Wed, 14 Jan 2015 16:02:14 -0500 Subject: [PATCH 10/16] added notebook --- examples/ACF_scargle_EK_test.ipynb | 204 +++++++++++++++++++++++++++++ 1 file changed, 204 insertions(+) create mode 100644 examples/ACF_scargle_EK_test.ipynb diff --git a/examples/ACF_scargle_EK_test.ipynb b/examples/ACF_scargle_EK_test.ipynb new file mode 100644 index 0000000..d2336f0 --- /dev/null +++ b/examples/ACF_scargle_EK_test.ipynb @@ -0,0 +1,204 @@ +{ + "metadata": { + "name": "", + "signature": "sha256:29001469cdb0c370c5c96fbb7d2e5bbd18fd007320c0db523ed5ed59f9c62604" + }, + "nbformat": 3, + "nbformat_minor": 0, + "worksheets": [ + { + "cells": [ + { + "cell_type": "code", + "collapsed": false, + "input": [ + "%matplotlib inline\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# use seaborn for matplotlib settings\n", + "import seaborn; seaborn.set()" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 1 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "# add up-directory to Python path\n", + "import sys, os; sys.path.append(os.path.abspath('..'))\n", + "from periodogram.acf import ACF" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "output_type": "stream", + "stream": "stderr", + "text": [ + "/Users/tdm/anaconda/lib/python2.7/site-packages/astroML/time_series/periodogram.py:8: UserWarning: Using slow version of lomb_scargle. Install astroML_addons to use an optimized version\n", + " warnings.warn(\"Using slow version of lomb_scargle. Install astroML_addons \"\n" + ] + } + ], + "prompt_number": 2 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "def make_sine(N=1000, P=100, err=0.05, rseed=None, even=True):\n", + " rng = np.random.RandomState(rseed)\n", + "\n", + " if even:\n", + " t = np.arange(N) #evenly-sampled data\n", + " else:\n", + " t = np.sort(rng.rand(N)*N)\n", + " y = np.ones(len(t))\n", + " \n", + " y *= np.sin(2*np.pi*t/P)\n", + " y += rng.randn(N)*err\n", + " \n", + " return t,y" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 4 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "t,y = make_sine(N=1000, P=100, even=False)\n", + "a = ACF(method='scargle', omega_max=10, smooth=5) #median- and gaussian-smoothed b/c of crazy peaks.\n", + "a.fit(t,y)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 5, + "text": [ + "" + ] + } + ], + "prompt_number": 5 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "plt.subplot(121)\n", + "plt.plot(t,y,'.')\n", + "plt.subplot(122)\n", + "plt.plot(a.lag,a.ac)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 6, + "text": [ + "[]" + ] + }, + { + "metadata": {}, + "output_type": "display_data", + "png": "iVBORw0KGgoAAAANSUhEUgAAAe4AAAFbCAYAAAATEG2QAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nhAZCFLcgCIIgNBD/Hy0CoNg1xs8MAAAAAElFTkSuQmCC\n", + "text": [ + "" + ] + } + ], + "prompt_number": 6 + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "So this is a bit odd; I would have expected there to be a maximum at lag $t=100$, not a minimum. Could there be some sign bug in the ACF_scargle code somewhere? Or is this supposed to be inverted? Also funny that the peaks are of increasing height. Is this just a quirk of the method?" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, let's check out the EK method:" + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "t,y = make_sine(N=1000, P=100, even=False)\n", + "a_EK = ACF(method='EK', smooth=5) #median- and gaussian-smoothed b/c of crazy peaks.\n", + "a_EK.fit(t,y)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 7, + "text": [ + "" + ] + } + ], + "prompt_number": 7 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "plt.subplot(121)\n", + "plt.plot(t,y,'.')\n", + "plt.subplot(122)\n", + "plt.plot(a_EK.lag,a_EK.ac)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 8, + "text": [ + "[]" + ] + }, + { + "metadata": {}, + "output_type": "display_data", + "png": "iVBORw0KGgoAAAANSUhEUgAAAe4AAAFVCAYAAAApGgzgAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQmCC\n", + "text": [ + "" + ] + } + ], + "prompt_number": 8 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [] + } + ], + "metadata": {} + } + ] +} \ No newline at end of file From 6497292c8ce6b408f23b64d3631fdeda6a73b44d Mon Sep 17 00:00:00 2001 From: Timothy Morton Date: Wed, 14 Jan 2015 16:02:53 -0500 Subject: [PATCH 11/16] minor edit --- examples/ACF_scargle_EK_test.ipynb | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/examples/ACF_scargle_EK_test.ipynb b/examples/ACF_scargle_EK_test.ipynb index d2336f0..80e7429 100644 --- a/examples/ACF_scargle_EK_test.ipynb +++ b/examples/ACF_scargle_EK_test.ipynb @@ -1,7 +1,7 @@ { "metadata": { "name": "", - "signature": "sha256:29001469cdb0c370c5c96fbb7d2e5bbd18fd007320c0db523ed5ed59f9c62604" + "signature": "sha256:102a0ea69924282218dba00a2765b10bca855592f983944508b8254b3b9c2107" }, "nbformat": 3, "nbformat_minor": 0, @@ -189,6 +189,13 @@ ], "prompt_number": 8 }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This looks good!" + ] + }, { "cell_type": "code", "collapsed": false, From 54b79f6da0a34b39cef99862a28daf8ea7644c1a Mon Sep 17 00:00:00 2001 From: Timothy Morton Date: Wed, 14 Jan 2015 16:05:58 -0500 Subject: [PATCH 12/16] docstring edits --- periodogram/acf.py | 14 +++++++++++--- 1 file changed, 11 insertions(+), 3 deletions(-) diff --git a/periodogram/acf.py b/periodogram/acf.py index 340815a..a1a8d81 100755 --- a/periodogram/acf.py +++ b/periodogram/acf.py @@ -27,24 +27,32 @@ class ACF(PeriodicModeler): Parameters ---------- - maxlag : float, optional + maxlag : float (optional) Maximum period to search for. If not provided, then will default to 1/2 data span. - method : 'standard', 'scargle' or 'EK', optional + method : 'standard', 'scargle' or 'EK' (optional) Method to use to calculate ACF. If standard is chosen then data must be evenly sampled. - smooth : float + smooth : float (optional) Timescale over which to smooth ACF. For 'standard' or 'EK' method, this will run a gaussian filter with given width over the acf; for 'scargle' it will first median-smooth, then gaussian-smooth. + + n_omega, omega_max : int, float (optional) + Passed to ``astroML.time_series.ACF_scargle`` + + bins : int or array_like (optional) + Passed to ``astroML.time_series.ACF_EK``; bins in which to calculate + ACF """ def __init__(self, maxlag=None, method='standard', smooth=None, n_omega=2**12, omega_max=100, bins=None): + self.maxlag = maxlag self.smooth = smooth From ef5e76170ac13a62f0f591a7487d656cb79140a2 Mon Sep 17 00:00:00 2001 From: Timothy Morton Date: Thu, 15 Jan 2015 12:15:42 -0500 Subject: [PATCH 13/16] minor edits --- examples/ACFExample.ipynb | 174 +++++--------------------------------- periodogram/acf.py | 7 +- 2 files changed, 21 insertions(+), 160 deletions(-) diff --git a/examples/ACFExample.ipynb b/examples/ACFExample.ipynb index 3833146..916c52c 100644 --- a/examples/ACFExample.ipynb +++ b/examples/ACFExample.ipynb @@ -1,7 +1,7 @@ { "metadata": { "name": "", - "signature": "sha256:035a58415b36f021fb5ccc3008443937295c37ecabd0efd0d3963682d31c14ab" + "signature": "sha256:77a8a9f6ab06ea3e1b79fd1fc86ece24f2e768957358d23521de5ecbec81ea26" }, "nbformat": 3, "nbformat_minor": 0, @@ -60,11 +60,11 @@ "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAgUAAAFtCAYAAACX0xmnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\njQJCCCGE+NAoIIQQQggA4P8Ds+I1AwvjKMkAAAAASUVORK5CYII=\n", "text": [ - "" + "" ] } ], - "prompt_number": 25 + "prompt_number": 2 }, { "cell_type": "code", @@ -76,104 +76,6 @@ ], "language": "python", "metadata": {}, - "outputs": [], - "prompt_number": 26 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "model = ACF(maxlag=1000).fit(t,y)\n", - "\n", - "periods = np.linspace(0.1, 20, 1000)\n", - "scores = model.score(periods)\n", - "\n", - "plt.plot(periods, scores);" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "display_data", - "png": "iVBORw0KGgoAAAANSUhEUgAAAesAAAFVCAYAAADPM8ekAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", - "text": [ - "" - ] - } - ], - "prompt_number": 27 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "model.period_search()" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 28, - "text": [ - "5.2718590692384169" - ] - } - ], - "prompt_number": 28 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "pwd" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 30, - "text": [ - "u'/Users/tdm/repositories/periodogram/examples'" - ] - } - ], - "prompt_number": 30 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "cd /Users/tdm/repositories/periodogram" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stdout", - "text": [ - "/Users/tdm/repositories/periodogram\n" - ] - } - ], - "prompt_number": 1 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "%matplotlib inline\n", - "import matplotlib.pyplot as plt\n", - "import periodogram.tests.test_acf as test\n", - "from periodogram.acf import ACF" - ], - "language": "python", - "metadata": {}, "outputs": [ { "output_type": "stream", @@ -184,63 +86,33 @@ ] } ], - "prompt_number": 2 - }, - { - "cell_type": "code", - "collapsed": false, - "input": [ - "t,y = test.make_sine(P=100, even=False)\n", - "a = ACF(method='scargle', omega_max=100, n_omega=10000)\n", - "a.fit(t,y)" - ], - "language": "python", - "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 3, - "text": [ - "" - ] - } - ], "prompt_number": 3 }, { "cell_type": "code", "collapsed": false, "input": [ - "plt.plot(a.lag,a.ac)" + "model = ACF(maxlag=30).fit(t,y)\n", + "model_EK = ACF(maxlag=30, method='EK').fit(t,y)\n", + "\n", + "periods = np.linspace(0.1, 30, 1000)\n", + "scores = model.score(periods)\n", + "scores_EK = model_EK.score(periods)\n", + "\n", + "plt.plot(periods, scores, label='standard');\n", + "plt.plot(periods, scores_EK, label='EK')\n", + "\n", + "plt.legend()" ], "language": "python", "metadata": {}, - "outputs": [ - { - "metadata": {}, - "output_type": "pyout", - "prompt_number": 4, - "text": [ - "[]" - ] - }, - { - "metadata": {}, - "output_type": "display_data", - "png": "iVBORw0KGgoAAAANSUhEUgAAAXsAAAELCAYAAAA4HCbKAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAHMVJREFUeJzt3XmUHNV5/vHviyTASBGW2BFB2IBtRABhCxIHEMPiGOQf\n8ULAEltOzGJsRMzmcALEDD+xKgLHEEwMiF0WhuRwMAEjO5DGLMHYbDYIByEkkAANaEEaLQMS8+aP\n2830tGbpmb49VT33+ZxTZ7q7um+9XV39dPW91TXm7oiIyOC2SdYFiIhI/SnsRUQSoLAXEUmAwl5E\nJAEKexGRBCjsRUQSoLAXEUnAgIa9mU01s9+ZWZuZ3TqQ7ZvZX5jZr8xsmZm9a2b3mNn2sWsQEcmj\ngd6zfwuYBtySQfufBP4NGFucWoHoHzgiInk0oGHv7ve5+/3Assp5Zvb/zOwFM1thZk+a2V4x23f3\nh939P9x9tbuvA64HDujP8xARaTRZ9dlbpytm+wIzgVOB0cBPgJ+b2aYx2u/GROClfrYvItJQsgr7\nyhPynAb8xN1/68EdwAfAX0RqvxMz2xv4J+D7/WxfRKSh5GLPntCHfm6xC2eFma0AdgJ2ADCzgpm1\ndzP9uor2O2aY7QY8BPy9uz8Z6fmIiOTa0IyWW7nn/SZwmbtf3uWd3ZtqbB8AMxsL/Ar4/+4+q49t\niog0rKh79mY22cxeMbPVZvaamR1YMX+ImW1O+JAZYmabmdkQ4CbgdDPb34LhZvYVMxvRx+V31z5m\nNgZ4FPhXd78xxvMVEWkU0cLezL4EXAn8rbuPAA4CXq+42z8Ba4HzgROAdcCF7v4sYXD2X4HlwDzg\npH6U0WX7xXmnAJ8Cms2stTit6scyREQajsX65yVm9hRwk7vr2HURkZyJsmdf7Cr5ArCtmc0zs0Vm\ndl2xS0VERDIWZc/ezHYEFgO/A44CNgD3AwV3v6h4H/3/QxGRfnL3an4/1K1Yffbrin+vc/cWd18G\nXANMitS+iIjUIErYu/sKwp59Nfdt2Oniiy/OvIYUa1f92U+qP7splpiHXt4KnGlm25jZKOBs4IGI\n7YuISD/F/FHVNGBr4FWgDfgZcFnE9kVEpJ+ihb27bwDOKE6DUlNTU9Yl9Fsj1w6qP2uqv/FFO86+\n1wUVj8YZqOWJiAwGZuEgHM/J0TgiIpJjCnsRkQQo7EVEEqCwFxFJgMJeRCQBCnuRDD39NJxyCqxY\nkXUlMthl9Z+qRAT44hfD32HD4IYbsq1FBjft2YvkwOKqziwl0n8KexGRBCjsRUQSoLAXEUmAwl4k\nB3TKKKk3hb2ISAIU9iIiCVDYi4gkQGEvIpIAhb2ISAIU9iIiCVDYi4gkQGEvIpIAhb2ISAKih72Z\n7W5mbWZ2Z+y2RUSkf+qxZ3898AygH4CLVEmnS5B6ixr2ZjYZWAE8AljMtkVEpP+ihb2ZjQQuAc5G\nQS8ikisx/y3hNOBmd3/bzLr9Utrc3Pzx5aamJpqamiKWICLS+AqFAoVCIWqb5hE6C81sPHAXsK+7\nrzezZmBXdz+x7D4OEGN5IoOFFb8DT5oEDz6YbS2ST1bcSNy9ph6TWHv2BwO7AG8WCxsBDDGzPdx9\nQqRliIhIP8UK+xuB2cXLBpxHCP/TI7UvIiI1iDJA6+7r3P3d4tQCrAbWufuyGO3X4pFH4Prrs65C\nRCRbMQdoP+bul9Sj3f44/PDw94ADYPz4bGsREclKMqdLeO+9rCsQEclOMmEvIpIyhb1IDuiIZKm3\nZMJebyYRSVkyYS8ikjKFvYhIAhT2IiIJUNiL5IDpPLFSZwp7kRzQAQRSbwp7EZEEKOxFRBKQTNjr\na7KIpCyZsBcRSZnCXiQH9M1T6k1hLyKSAIW9iEgCFPYiIglQ2IvkgH5BK/WmsBcRSUAyYa+jHSTP\ntH1KvSUT9iIiKYsS9ma2qZnNNLOFZrbKzJ43syNitC0iIrWLtWc/FHgTmOjuI4GLgHvMbGyk9kVE\npAZRwt7d17r7Je7+ZvH6g8AC4PMx2pfaLF8O69ZlXYWIZKkuffZmth3wGeDlerQv1Vu1CrbaCrbZ\nJutKRCRL0cPezIYBs4Db3P3V2O1L38ybF/6uWZNtHdIzHY0j9TY0ZmNmtglwJ9AGTO3qPs3NzR9f\nbmpqoqmpKWYJ3dKbSUQaRaFQoFAoRG3TPFIKmpkBtwA7A5Pc/YOK+Q4Qa3nV1xX+PvQQHHnkgC46\nF559FiZMCJf1gZc/pe3zy1+Ghx/OthbJJytuJO5e0++sY+7Z3wB8Dji8MuhFpGc6XYLUW6zj7McC\npwH7AEvMrLU4TYnRfgx6M4lIyqLs2bv7G+T817jqwpA80/Yp9ZbrgBYRkTgU9iIy6MyeDZdfnnUV\n+RL10EsRkTw47rjw95hjYPfds60lL5LZs1efqEh6WluzriA/kgl7EUmPdvI6KOxFcmDOHPjoo6yr\nkMEsmbDXcfaSd3ffnXUFg4/27DskE/apvuj6kGscLS1ZVzD4pPq+70oyYZ8qbewiAgp7ERnEtLPT\nQWEvkhMKJqmnZMI+1TeS+uxFBBIK+1Sl+iEnAtr+yyUT9trDFRlYL7wAM2dmG7gK+w7JhH1MM2fC\nCSfoRzDSN1dcATff3P38wRZM++4Lp5wCjz6adSUCCYV9zDfSKafArFnw4IPx2qwXfaPJh5YWuOAC\nOPXU/j3+rbfgjTfi1jRQ5s/PbtmD7QO0FjrrZQ1Wr866AmkUbW21PX6nncLfDz+EYcNqr2cgqRsn\nH5LZs6+HRtiQGqHG2C6/HGbMyLqKzqr5hlXNa1Xrh0YWentejz8Oc+dW3966dfDqq7XVlCKFfR+4\nd+6nb2/PrhbpWlsbXHghfP/7WVfSWXnYv/tubW3Nn197G3nR0gITJ8Kee1b/mAkT4LOfhaee6v2+\nKe7sdEdh3wdHHgk77thxPasN6aOPYP366u6bWp99I3wAn3NO/x/7/vuw226w3Xbx6qm3nt4nS5b0\nvb3St4BqxswU9h0U9n0wZ07nPaqsNqS994ZRo6oP/JTk9cOtvK5aTni2aFHH5Rdf7H87A6mn90m9\n30MK+w4K+xpktRc5dy6sWROO0BhsKrvKam0rL8rDvru6+lrvP/xD/+sp98orcNZZsHRpnPYGSl4/\n2PMqWtib2Wgzu8/MVpvZQjObEqvt/li4EE47rb7LyDpMqll+5X3y/tuAgw6CT30KNmyova2sX5/u\ndFdXVv3w++0HP/oRfPe79Wn/qadg+vT8vh6V3nsPrrkGli/PupK4Yu7ZXw+0AdsCxwM3mNm4iO13\nMmdO+A/y3fna1+Cmmzqu12NDy3rj7Wr57nD11fCb32w8b+lS2HJL+M53Ot9/8eJw9MrKlZ3v/847\ncPDBMGJEdYNhtSg9lyefDF0VixfX1g40Rv99uauv3vi2l16Cb32r6/u/9144dv+EE2rbFtesCX97\nOyKmrS3sRPXVrFlw/vlw//19f2xP+rOz05Ply8Ph1JMnw7nnwokn9r+2XHL3midgOPABsFvZbbcD\nV5Rd97C4OMLL6P7uu13PHzq04z7g/sAD8ZZZmi6/vO9ttLfHq+O11zae9/Ofd8x3d581q+P6tdd2\nntfe7j5pUsdtRx3lPm6c+6WXhvl//uedn++SJeH21lb3e+91X7Om9ufi7j5livv48e7r13csa/78\nsJy77nJfubL3Nj76KPxdvbqjjWOOcf/lL+PUWKu33uqo65BDOm6v3KYqjRjReX6hsPFjSuurv0pt\njBvX8/323jvc7/nn+9ZuafqXf9n4Pi+80PVzX7/eva3NfcMG95aWrtu94ILel/3YY13Pb293X7Ys\nXF60KORIZb2bbFLd86y3suysLadrbSDUwr7AmorbzgF+XnbdAR850v2559zPP9/95JPdd9wxvClH\njnT/4x/DdXD/9a/df/vb8CKsXx+e9JQpYV55CM2fH164F15wX7GifAV1HfZLl7rff7/7+++7P/10\neOxjj4X7fOUr7r/5jfuMGSHI993X/Zln3Hfd1f2WW7p+k61eHULwuefc584Nz+Gss8Kbu63NfeHC\nsFHNnOl+6KHuu+3mfuyx7ieeGGpube2oeeFC9z33dJ8+PWzk69dv/GH24Ycdy376aff//V/3N94I\ndbq7X399x/ybbupca3nYX3aZ+6hRXT+n0huz8rbJk8Myjj02XD/pJPd167oP/ZdeCq/J/PnuH3zQ\nfSCV2n/ppY7L99/vfsIJ4fJXv+q+apX7ffeFdlavDuu3vd394os7HnPmmWFdVNY9d677iy+GZa1Y\nET4Y3nyz483u3vWH8IYN7j/+sfsee7gvXrzx/Pb2sF3dcUd4LW+/vevn96Mfda6zqSlsM1ddtXGt\n5a/fihXdvz6VU2mbK6+99L5xD8/57rvdX3+9+/X/uc+F6+++23ndtLR0vBalafp097VrOz6IlywJ\n75ODDgrbfXm75dNhh7m/8krYbhcsCB8cpXkvvhjeiytXuk+Y4L755uGDEdyffXbjeqsJ+0IhrIt1\n6zqvi+OPD/NnzOh5veZBrLC30FZtzOwg4B5336HstlOB49z9kOL14oJqX56I9N/22/fvkMcUzZsX\nDnXNkhVHot29piHpWKdLWA2MrLhtS6B147s2l11uKk4iMlAU9NW79174x38c+OUWCgUKhULUNmPt\n2Q8HlgN7uvtrxdvuBBa5+wXF6zXt2f/pn8KYMfD002Eg66c/hSOOgCFDoFCAAw4IA3Kbbx6OQX/o\nIfjlL8NAy+zZYcB2+XK4++6an+6AOPBAGDs2DG6VHHpovs8gOGlSmHbYAV5+OQyQb9gQzn543HFh\nwGvo0HCelwULsq42HPXTUx3XXhu2szVr4JvfhOuuC8fIH3ccHHYYnHxyuN/w4TB+fBhczpMZM8KA\nY2treC+MHh1q3nFH+Pd/D4Pg//mf4b677hp+yXrrrdnUOmJEqHX06LAN3Xdfx8AxwJVXhgMGWlth\n5EhYtiw8jyVL4Pbbe2575EhYtarvNW21VRgEz/oQz1h79jX1AZVPwGzgp8AWwIHA+8AeZfNL/U7+\nN3/T0Se2YMHG/WSXXda5/70eli7tfL207M02C/2P7e2hn/Lkkzv357a3ux99tPtee7n/4Q8dj/vD\nH9zPO8/9ySdDf3dpwLCkfICuvE/27bdDn+KaNe5z5oQ+6WqV2rn55uoHfkv99Bdc4D5xovupp4bH\nlj/+i1/saPvOO8PkHsY5yutfvLhzn3FftLS4//M/hz7kq64KYx2lGjZs6Gj3jDO6fvwTT4R+d/fQ\nd/z44x2PaW/vuPyTn4T7tLd3jO/05ve/79+A52uvhXX66KPd36d8ELpc5bYxZUrn+Xfc4f7DH3bd\n5lln1b+veffdQ7ulcYmWlnD9iCM2vm/ltl9+EEBfalu5cuO2uvL++2GbcQ/bRW/LueuujespXZ4w\nIYwXPf549XXWW1l21pbRtTbwcUMwCriP0KWzEJhcMb/LsHcPAVm+wcY4cqavSsveaafqH7NoUfUb\ncHkwLllS29ETJf1ZXwsWhA+j8gGrSldeGdrdb7/ul1n5Jjn77D6V3qv2dvd33unb0UvTp4cPEPdw\nFM6ZZ4YB7bx5/vmwc1CuMqyPP7769gYi7JcvDx9i5a/H2rXVvT4ffuh+442hrjFj4tdW7qmnqlsH\nlYPSpesnnVTf+vojVthHO8Wxu68Avl7dfTtf/8u/DNP224cumSOOiFVVfY0ZA8ccE7qYelP+nGOf\n16QvXzN32QW+972e73PuuTBuXPiBU7U2ifxbbLOwPfRF+cnPvvSlMOXR+PEb33bppXDRRR3X+7I+\nK99P9TBqFBxySOfbPvGJ6h47bFg4j/8++8Duu8evrVxfB1Mr13Ps7ThPMnlq3W2c558Pv/hF6Ndt\nBGZwzz1d/ximUj1/4BO7T3HoUDjqKPjkJzeeV3qu11xT3xpSM3x45+vf/nb1j61mZyMP9t8/fGjU\n0zbbhNMfV3v+ocpwHzIkfk15kUmsDsSeSN4Mlud8zjnhF5vbbtv5doV9PEuXhsHBak2dGgZbR4wI\n3xBS15dvD6VwLx38cMIJ9akpDxpkH7rxDZawh42DHhT2MfUl6AE22wx++MOwjY0ZE851I9Uphf3D\nD4cTC+6yS6bl1JX27AeBPATtYO7rbBRmcPrpWVfRWErb7bBhgzvoQWH/sZ12Cl+F9967Pu2PHQuH\nH944/at9lYcPHJG+SmknJaGn2rPHHgtHc9TrRyVm8KtfwS231Kf9rKX0pqmHPO4ADWbNzeHvtGmZ\nljGgcnU0TpY+/elwzu2u+qOld9qzl0Zy8cXhF7p/9VdZVzJwMgn70nHe3Z2nW/omD0E7svLMSCI5\nt8UWWVcwsDLpsz/00HBui3ofcyv1d/fd4fwxZ5yRdSUi0pPMDr0cPTqrJUtM3/xmmEQk3zSsNgjk\noRtHapPHcSwZXBT2IiIJUNiL5IC+nUm9KewHAQWFiPRGYS8ikgCFvUgOaIBW6k1hPwjssEPWFYhI\n3ukUxw3s8cdh3jzYa6+sKxGRvFPYN7ADDwyTiEhv1I0jkgPqs5d6U9iLiCRAYS8ikoCaw97MNjWz\nmWa20MxWmdnzZnZEjOJERCSOGHv2Q4E3gYnuPhK4CLjHzMZGaFtERCKo+Wgcd18LXFJ2/UEzWwB8\nHnij1vZFUqABWqm36H32ZrYd8Bng5dhti4hI/0QNezMbBswCbnP3V2O2LSIi/ddrN46ZFYCJ3cx+\nwt0nFu+3CXAn0AZM7a695tK/dQeamppoamqqulgRkRQUCgUKhULUNs0jdBaamQG3ADsDk9z9gy7u\n4wAxlicy2Fx9NZx3Xrist4iUs+I5zN29ppOZxzpdwg3A54DDuwp6EemZAl7qLcZx9mOB04B9gCVm\n1lqcptRcnYiIRBHj0Ms30C9xRURyTSEtIpIAhb2ISAIU9iI5oAFaqTeFvYhIAhT2IiIJUNiLiCRA\nYS8ikgCFvUgOaIBW6k1hLyKSAIW9iEgCFPYiIglQ2IuIJEBhLyKSAIW9iEgCFPYiIglQ2IuIJEBh\nLyKSAIW9SA7oF7RSbwp7EZEEKOxFRBKgsBcRSYDCXkQkAdHC3sx2N7M2M7szVpsiqdAArdRbzD37\n64FnAG22IiI5EyXszWwysAJ4BLAYbYqISDw1h72ZjQQuAc5GQS8ikksx9uynATe7+9uoC0dEJJeG\n9jTTzArAxG5mPwH8PXAYsG/pIb0tsLm5+ePLTU1NNDU19V6lyCCnAVopVygUKBQKUds0r2ErM7Pv\nAZcBrcWbRgBDgLnuPqHivg5Qy/JEBqsrroALLgiX9RaRcmZhH9rda+om73HPvgo3ArNLNQHnAbsA\np9fYrkhSTKNdUmc1hb27rwPWla6b2Wpgnbsvq7UwERGJp9Y9+07c/ZKY7YmISBw6XYJIDqifXupN\nYS8ikgCFvYhIAhT2IiIJUNiLiCRAYS+SAxqglXpT2IuIJEBhLyKSAIW9iEgCFPYiIglQ2IvkgAZo\npd4U9iIiCVDYi4gkQGEvkgM6n73Um8JeRCQBCnuRHNAArdSbwl5EJAEKexGRBCjsRUQSoLAXEUmA\nwl4kBzRAK/WmsBcRSUCUsDezyWb2ipmtNrPXzOzAGO2KiEgcQ2ttwMy+BFwJHOvuz5jZDoB+Dygi\nkiM1hz1wCXCJuz8D4O7vRGhTREQiqqkbx8yGAF8AtjWzeWa2yMyuM7PN45QnkgYN0Eq91dpnvx0w\nDDgaOBAYD+wLXFRjuyIiElGP3ThmVgAmdjP7CeCvi5evc/eW4mOuIYR9l4Hf3Nz88eWmpiaampr6\nUq+IyKBXKBQoFApR2zSv8fujmb0JXOjudxavfwO4yN0/X3E/B6h1eSKD0bRp8IMfhMt6i0g5K57/\n2t1rOvAlxqGXtwJnmtk2ZjYKOBt4IEK7IsnQ+eyl3mIcjTMN2Bp4FWgDfgZcFqFdkWRob17qreaw\nd/cNwBnFSUREckinSxARSYDCXkQkAQp7EZEEKOxFckADtFJvCnsRkQQo7EVEEqCwFxFJgMJeRCQB\nCnuRHNAArdSbwl5EJAEKexGRBCjsRUQSoLAXyYFN9E6UOtMmJpIDU6fCHnvAjBlZVyKDVc3/qarq\nBek/VYmI9Fme/lOViIjknMJeRCQBCnsRkQQo7EVEEqCwFxFJgMJeRCQBCnsRkQTUHPZmtpOZPWBm\ny8zsHTO7zsyGxChORETiiLFnfy2wFNgBGA8cDHw3Qru5UygUsi6h3xq5dlD9WVP9jS9G2O8J/Mzd\nP3T3FuDh4m2DTiNvMI1cO6j+rKn+xhcj7OcAx5nZJ8xsDHAk8IsI7YqISCQ1nxvHzEYD/wXsBQwB\nbnP3b3VxP50UR0Skn+p6bhwzK5hZezfTr4t3mwPcC2wBbA2MNrOrailKRETiqmnP3sy2AVqALd29\ntXjb14Bp7r5XnBJFRKRWtfbZLwXeAb5jZkPM7JPA3wIv1lyZiIhEU1PYe/ha8A3gKELwzwM+AM6u\nvTQREYllwP55iYiIZGdATpdgZqPN7D4zW21mC81sykAst7+KA9PrzKy1OL1SNu8wM/ujma0xs0fN\nbOeMa51qZr8zszYzu7ViXo+1mtlVZra0OF05sJV/XEOX9ZvZLsUDAVrLpgsrHpuH+jc1s5nF7XqV\nmT1vZkeUzc/ta9BT7Q20/u8q/nJ/lZm9Xl5jntd9WQ1d1l+X9e/udZ+A2cVpC+AA4H1g3EAsu5/1\n/jfwrS5u37pY+9HApsB04H8yrvXrwFeBHwO3Vlsr8G3gj8COxell4Ns5qn8XoJ3it88uHpeX+rcA\nLgZ2Ll7/CrAK2Ln4GqzM62vQS+2Nsv73BDYvXv4ssAT4ct7XfRX1R1//A/FkhhP68Xcru+124IqB\nXrF9qPm/gZO7uP004Imy61sAa4HP5KDmaRVh2WOtwFPAKWXz/44MP7i6qL+0sQ/p5v65qr+ithcJ\nY1kN9RqU1f71Rlz/xbBcBHy+Qdf9Z4HFxfqjr/+B6Mb5DLDB3V8ru+1F8n9KhSvM7D0ze8LMDi7e\ntidlRxq5+1rgNeDPsiiwQuUPLrqrtbTex9H5qKnfk+1r0t0PRt4ws0VmdouZbVV2e97qB8DMtiNs\n8y/RYK9BWe0vl92c+/VvZj82szWEui9z9+dooHVfUf+lxfpLoq3/gQj7EYSvhuVagT8ZgGX31/nA\npwhfj24EHjCzTxO+pVQ+l1WE55i1ypH27motrfcRhK+55fOyfB6V9b8HTCB0KXyBUPessvl5qx8z\nG0ao8TZ3f5UGeg26qL1h1r+7f7e47MOBS81sfxpo3XdTf/T1PzRizd1ZDYysuG1LQuDnkrs/U3b1\njuKA8iTy/Vwq94x7q7Vy/pbF27LSqX53XwOU9nDeNbOpwDtmNrw4L1f1m9kmwJ1AGzC1eHNDvAZd\n1d5o699DX0bBzO4FptAg676ksn53P5vI638g9uxfBYaa2W5lt+1D+JrbaF4m1A6AmQ0HdqXz196s\nVO4Z91bry4RTUpdk/ZpUewxwaZvNTf1mZsBMYBvgaHf/qDgr969BD7V3J3frv8IwoNQlkut1341S\n/d3p//ofoIGH2cBPCYMkBxKOEtkjy8GQHmrdkjAavjnhm8/xhE/M3eg4wuUbxfnTgacyrndIsZYr\ngDuAzYq39VgrYTR/LqGrakxx4zktJ/UPBfYnDFhtAmwF/Ax4JG/1F2v5N+B/gOEVt+f+Neih9tyv\nf8IH1GRCl82Q4vt2JbBfg6z7nuqPvv4H6kmNAu4jhOZCYPJArtQ+1ro18AyhD2wFYdT7sLL5hwGv\nEEb2H6V42FqG9TYTRu3Lpx9UUytwFbCsOF2Zp/qLb4LXi9vM28BtwLY5rH9ssea1hC6C0jQl769B\nD7Uf1wjrv/heLRTfp+8X37d/XTY/t+u+t/rrsf71C1oRkQToH46LiCRAYS8ikgCFvYhIAhT2IiIJ\nUNiLiCRAYS8ikgCFvYhIAhT2IiIJUNiLiCTg/wAzZKomdCN2fQAAAABJRU5ErkJggg==\n", - "text": [ - "" - ] - } - ], - "prompt_number": 4 + "outputs": [] }, { "cell_type": "code", "collapsed": false, "input": [ - "plt.plot(a.t,a.y)" + "model.period_search()" ], "language": "python", "metadata": {}, @@ -248,21 +120,13 @@ { "metadata": {}, "output_type": "pyout", - "prompt_number": 5, + "prompt_number": 8, "text": [ - "[]" - ] - }, - { - "metadata": {}, - "output_type": "display_data", - "png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAEFCAYAAAD9mKAdAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQRAEIRERCkEQBCGR/w/iUk/RRdQupwAAAABJRU5ErkJggg==\n", - "text": [ - "" + "5.2718590692384169" ] } ], - "prompt_number": 5 + "prompt_number": 8 }, { "cell_type": "code", diff --git a/periodogram/acf.py b/periodogram/acf.py index a1a8d81..e041acb 100755 --- a/periodogram/acf.py +++ b/periodogram/acf.py @@ -21,9 +21,6 @@ class ACF(PeriodicModeler): """ Autocorrelation function for periodic modeling. - Requires evenly sampled data. For non evenly sampled data, - use ACF_scargle or ACF_EK. - Parameters ---------- @@ -45,13 +42,13 @@ class ACF(PeriodicModeler): Passed to ``astroML.time_series.ACF_scargle`` bins : int or array_like (optional) - Passed to ``astroML.time_series.ACF_EK``; bins in which to calculate + Passed to ``astroML.time_series.ACF_EK``; time bins in which to calculate ACF """ def __init__(self, maxlag=None, method='standard', smooth=None, - n_omega=2**12, omega_max=100, bins=None): + n_omega=2**12, omega_max=20, bins=None): self.maxlag = maxlag self.smooth = smooth From b314c285eaacf301cab6dd878b65f875a575aa24 Mon Sep 17 00:00:00 2001 From: Timothy Morton Date: Thu, 15 Jan 2015 12:20:18 -0500 Subject: [PATCH 14/16] took out attempt to use EK periodogram w/ koi-63 data --- examples/ACFExample.ipynb | 31 +++++++++++++++++++++++-------- 1 file changed, 23 insertions(+), 8 deletions(-) diff --git a/examples/ACFExample.ipynb b/examples/ACFExample.ipynb index 916c52c..46a5200 100644 --- a/examples/ACFExample.ipynb +++ b/examples/ACFExample.ipynb @@ -1,7 +1,7 @@ { "metadata": { "name": "", - "signature": "sha256:77a8a9f6ab06ea3e1b79fd1fc86ece24f2e768957358d23521de5ecbec81ea26" + "signature": "sha256:5b66cf1c10c7b0cdb6326a2d6cb354ca22989b318391c4a56cedaec128413e80" }, "nbformat": 3, "nbformat_minor": 0, @@ -60,7 +60,7 @@ "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAgUAAAFtCAYAAACX0xmnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\njQJCCCGE+NAoIIQQQggA4P8Ds+I1AwvjKMkAAAAASUVORK5CYII=\n", "text": [ - "" + "" ] } ], @@ -93,20 +93,35 @@ "collapsed": false, "input": [ "model = ACF(maxlag=30).fit(t,y)\n", - "model_EK = ACF(maxlag=30, method='EK').fit(t,y)\n", "\n", "periods = np.linspace(0.1, 30, 1000)\n", "scores = model.score(periods)\n", - "scores_EK = model_EK.score(periods)\n", "\n", "plt.plot(periods, scores, label='standard');\n", - "plt.plot(periods, scores_EK, label='EK')\n", "\n", "plt.legend()" ], "language": "python", "metadata": {}, - "outputs": [] + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 4, + "text": [ + "" + ] + }, + { + "metadata": {}, + "output_type": "display_data", + "png": "iVBORw0KGgoAAAANSUhEUgAAAesAAAFVCAYAAADPM8ekAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAElFTkSuQmCC\n", + "text": [ + "" + ] + } + ], + "prompt_number": 4 }, { "cell_type": "code", @@ -120,13 +135,13 @@ { "metadata": {}, "output_type": "pyout", - "prompt_number": 8, + "prompt_number": 6, "text": [ "5.2718590692384169" ] } ], - "prompt_number": 8 + "prompt_number": 6 }, { "cell_type": "code", From b6c355e1899a5317e90d0e4eb6dc70f1dfd987da Mon Sep 17 00:00:00 2001 From: Timothy Morton Date: Fri, 16 Jan 2015 16:47:10 -0500 Subject: [PATCH 15/16] steps toward testing scargle and E-K ACFs --- examples/ACFExample.ipynb | 262 +++++++++++++++++++++++++++++++++++--- periodogram/acf.py | 2 + 2 files changed, 244 insertions(+), 20 deletions(-) diff --git a/examples/ACFExample.ipynb b/examples/ACFExample.ipynb index 46a5200..044b793 100644 --- a/examples/ACFExample.ipynb +++ b/examples/ACFExample.ipynb @@ -1,7 +1,7 @@ { "metadata": { "name": "", - "signature": "sha256:5b66cf1c10c7b0cdb6326a2d6cb354ca22989b318391c4a56cedaec128413e80" + "signature": "sha256:5fb8a22e8dbc48a676f55fceb51ae286855c262f461cb8ef56ad9d5159049c67" }, "nbformat": 3, "nbformat_minor": 0, @@ -35,8 +35,8 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## The Data\n", - "Exmple data will be Q1-Q15 photometry of KOI-63. We're using Kepler data as the example because the straight-up ACF requires evenly-sampled data. This data is pre-conditioned to have no gaps (gaps have been set to zero)." + "## Standard ACF\n", + "The first exmple data we will use will be Q1-Q15 photometry of KOI-63. We're using Kepler data as the example because the standard ACF requires evenly-sampled data. This data is pre-conditioned to have no gaps (gaps have been set to zero)." ] }, { @@ -60,11 +60,11 @@ "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAgUAAAFtCAYAAACX0xmnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\njQJCCCGE+NAoIIQQQggA4P8Ds+I1AwvjKMkAAAAASUVORK5CYII=\n", "text": [ - "" + "" ] } ], - "prompt_number": 2 + "prompt_number": 8 }, { "cell_type": "code", @@ -76,17 +76,8 @@ ], "language": "python", "metadata": {}, - "outputs": [ - { - "output_type": "stream", - "stream": "stderr", - "text": [ - "/Users/tdm/anaconda/lib/python2.7/site-packages/astroML/time_series/periodogram.py:8: UserWarning: Using slow version of lomb_scargle. Install astroML_addons to use an optimized version\n", - " warnings.warn(\"Using slow version of lomb_scargle. Install astroML_addons \"\n" - ] - } - ], - "prompt_number": 3 + "outputs": [], + "prompt_number": 9 }, { "cell_type": "code", @@ -107,9 +98,9 @@ { "metadata": {}, "output_type": "pyout", - "prompt_number": 4, + "prompt_number": 10, "text": [ - "" + "" ] }, { @@ -117,11 +108,11 @@ "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAesAAAFVCAYAAADPM8ekAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAElFTkSuQmCC\n", "text": [ - "" + "" ] } ], - "prompt_number": 4 + "prompt_number": 10 }, { "cell_type": "code", @@ -143,6 +134,237 @@ ], "prompt_number": 6 }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##ACF estimation techniques; non-evenly sampled data\n", + "\n", + "To demonstrate the Scargle (1989) and Edelson-Krolik methods, we'll pull some data from AstroML. " + ] + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "from astroML.datasets import fetch_LINEAR_sample\n", + "data = fetch_LINEAR_sample()" + ], + "language": "python", + "metadata": {}, + "outputs": [], + "prompt_number": 11 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "lcid = 10022663\n", + "t, y, dy = data[lcid].T\n", + "fig, ax = plt.subplots()\n", + "ax.errorbar(t, y, dy, fmt='o');\n", + "ax.invert_yaxis()\n", + "ax.set_xlabel('MJD')\n", + "ax.set_ylabel('magnitude')\n", + "ax.set_title('LINEAR object {0}'.format(lcid));" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "display_data", + "png": "iVBORw0KGgoAAAANSUhEUgAAAgIAAAFtCAYAAAB1DwLeAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrkJggg==\n", + "text": [ + "" + ] + } + ], + "prompt_number": 12 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "model_scargle = ACF(maxlag=5, method='scargle', omega_max=100, n_omega=1e4, smooth=0.05).fit(t,y)\n", + "model_EK = ACF(maxlag=5, method='EK').fit(t,y)\n", + "\n", + "periods = np.linspace(0.1, 5, 1000)\n", + "scores_scargle = model_scargle.score(periods)\n", + "scores_EK = model_EK.score(periods)\n", + "\n", + "plt.plot(periods, scores_scargle, );\n", + "plt.plot(periods, scores_EK, label='E-K');\n", + "\n", + "plt.legend()" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 14, + "text": [ + "" + ] + }, + { + "metadata": {}, + "output_type": "display_data", + "png": "iVBORw0KGgoAAAANSUhEUgAAAf0AAAFVCAYAAADlgzYLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n5+AAAAAASUVORK5CYII=\n", + "text": [ + "" + ] + } + ], + "prompt_number": 14 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [ + "plt.plot(model_EK.lag, model_EK.ac)" + ], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 16, + "text": [ + "[]" + ] + }, + { + "metadata": {}, + "output_type": "display_data", + "png": "iVBORw0KGgoAAAANSUhEUgAAAe4AAAFVCAYAAAApGgzgAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nJUnKEYNbkqQc+f/6WZzQDEq0BAAAAABJRU5ErkJggg==\n", + "text": [ + "" + ] + } + ], + "prompt_number": 16 + }, + { + "cell_type": "code", + "collapsed": false, + "input": [], + "language": "python", + "metadata": {}, + "outputs": [ + { + "metadata": {}, + "output_type": "pyout", + "prompt_number": 17, + "text": [ + "array([ 0.05516054, 0.05523257, 0.04700856, 0.04758903, 0.04291374,\n", + " 0.01426609, 0.05247898, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " -0.04130753, -0.02690575, -0.01923471, -0.01485789, -0.00880242,\n", + " -0.01399646, -0.01034649, -0.00262978, 0.01293688, -0.00062278,\n", + " 0.00610607, 0.01618121, 0.03754062, 0.05439438, 0.0693816 ,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, 0.00061898, -0.00081963, -0.00104528, -0.00232965,\n", + " -0.00271118, 0.00104189, 0.00484137, 0.00414571, 0.00017146,\n", + " -0.01171262, -0.01259903, -0.01576382, -0.02514881, -0.01689142,\n", + " -0.0222507 , -0.02148143, -0.02601134, -0.03400724, -0.04086462,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, -0.01133036,\n", + " -0.00986557, -0.00897342, -0.00885683, -0.00800828, -0.0072893 ,\n", + " -0.00705206, -0.00697616, -0.00560347, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, 0.01310681,\n", + " 0.00818758, 0.00364608, 0.00024186, -0.00382023, -0.0072617 ,\n", + " -0.01060365, -0.02999606, -0.05187532, -0.08047419, -0.08572405,\n", + " -0.09538933, -0.10646381, -0.10034134, -0.11656696, -0.11779158,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan,\n", + " nan, nan, 0.00298316, nan, 0.00383906,\n", + " 0.00326027, 0.00306178, 0.00342613, 0.00512629])" + ] + } + ], + "prompt_number": 17 + }, { "cell_type": "code", "collapsed": false, diff --git a/periodogram/acf.py b/periodogram/acf.py index e041acb..a60ce47 100755 --- a/periodogram/acf.py +++ b/periodogram/acf.py @@ -106,6 +106,8 @@ def fit(self, t, y, dy=None): if self.bins is None: bins = np.linspace(0, maxlag, 500) + elif type(self.bins) is int: + bins = np.linspace(0,maxlag,self.bins) else: bins = self.bins ac, ac_err, bins = ACF_EK(t, y, dy, bins=bins) From b36d22117ea214e7c33ae674406d16826a5c7019 Mon Sep 17 00:00:00 2001 From: Timothy Morton Date: Fri, 16 Jan 2015 16:52:38 -0500 Subject: [PATCH 16/16] notebook edits --- examples/ACFExample.ipynb | 45 +++++++++++++++++++++++---------------- 1 file changed, 27 insertions(+), 18 deletions(-) diff --git a/examples/ACFExample.ipynb b/examples/ACFExample.ipynb index 044b793..705fc38 100644 --- a/examples/ACFExample.ipynb +++ b/examples/ACFExample.ipynb @@ -1,7 +1,7 @@ { "metadata": { "name": "", - "signature": "sha256:5fb8a22e8dbc48a676f55fceb51ae286855c262f461cb8ef56ad9d5159049c67" + "signature": "sha256:f1873ef284d4fd7cd703dd6cc70b4fcadacc64355b44420d7745e672762e2365" }, "nbformat": 3, "nbformat_minor": 0, @@ -193,32 +193,39 @@ "scores_scargle = model_scargle.score(periods)\n", "scores_EK = model_EK.score(periods)\n", "\n", - "plt.plot(periods, scores_scargle, );\n", - "plt.plot(periods, scores_EK, label='E-K');\n", - "\n", - "plt.legend()" + "plt.plot(periods, scores_scargle);\n", + "plt.figure()\n", + "plt.plot(periods, scores_EK);" ], "language": "python", "metadata": {}, "outputs": [ + { + "output_type": "stream", + "stream": "stderr", + "text": [ + "/Users/tdm/anaconda/lib/python2.7/site-packages/numpy/core/numeric.py:183: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", + " a = empty(shape, dtype, order)\n" + ] + }, { "metadata": {}, - "output_type": "pyout", - "prompt_number": 14, + "output_type": "display_data", + "png": "iVBORw0KGgoAAAANSUhEUgAAAeAAAAFbCAYAAAAN2V0jAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", "text": [ - "" + "" ] }, { "metadata": {}, "output_type": "display_data", - "png": "iVBORw0KGgoAAAANSUhEUgAAAf0AAAFVCAYAAADlgzYLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n5+AAAAAASUVORK5CYII=\n", + "png": "iVBORw0KGgoAAAANSUhEUgAAAf0AAAFVCAYAAADlgzYLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzt3XmcVOWd7/FP9QoN3dBAN83a7D9BNgFZFdxwDZFEsxgz\nmZioN8skN+PkzhjnmszcaLz3evXOOBMzE9CYbTRBB6/GAO4orTTgCggP0CzN0s3eC1t30133j1ON\nRdHd1Q3VXVWnvu/XyxdUHZ7j8/PQfk89dX7nBILBICIiIuJ/afGegIiIiHQNhb6IiEiKUOiLiIik\nCIW+iIhIilDoi4iIpAiFvoiISIrIaGujmaUBjwMTgTrgTudcWdj2BcD9wGngSefc4tbGmFkhsAjo\nDQSArznndprZXcDdoX084Jx7KdZFioiISPRP+guBLOfcbOBe4JHmDWaWCTwKzAfmAXeHgn0hkN3C\nmP8N/NY5Nw/4MTDezIqA7wGzgeuAh8wsK1bFiYiIyKeihf4cYDmAc64UmBa2bSywzTlX7ZxrAFYB\nc0NjlrUwZjYwxMxeAW4HXgemAyXOuQbnXA2wDW+FQERERGIsWujnATVhrxtDy/fN26rDttUCvVoZ\nkw4MA4445+YD5cDfAbmt7ENERERirM3v9PHCOzfsdZpzrin0++qIbblAVStjGs3sMPBC6L0XgQeB\ndS3s42hbEwoGg8FAIBBl2iIiIr4Sk+CLFvolwAJgiZnNBD4O27YZGG1m+cBxvKX9h4FgK2NWATcB\nv8O7BmADsAZ40MyygW54XxlsaGtCgUCAgwdr211goiooyE36OvxQA6iOROKHGsAfdfihBkj+OhpO\nN/H6+3v46k0Xx2R/0Zb3lwKnzKwE74K8vzaz28zsrtD3+PcAK4B3gCeccxUtjQnt62+Ar4Xevxb4\nmXNuP/AY8DbwGnCfc64+JpWJiIgkueWlu/jD69titr82P+k754LAtyPe3hK2/U/An9oxBudcOV7Y\nR76/GFjc/imLiIj439HaOl5avYu8nMyY7VM35xEREUlAz60so76hic/PGxmzfSr0RUREEsyOihre\n2VDJ0MKeXDZhQMz2q9AXERFJIMFgkKdf3QrAl68eTVpa7DrWFPoiIiIJZO3mA2zbW83UMQVcVJwf\n030r9EVERBJEfUMjS97YRkZ6gC9cNSrm+1foi4iIJIgVa8o5XFPH/EuHUNi7e8z3r9AXERFJAOEt\nep+ZNaxT/h0KfRERkQQQ3qLXPTvaDXPPj0JfREQkzjqrRS+SQl9ERCSOOrNFL5JCX0REJI46s0Uv\nkkJfREQkTjq7RS+SQl9ERCROOrtFL5JCX0REJA7OtOj1yOq0Fr1ICn0REZE4ONOiN3dEp7XoRVLo\ni4iIdLGuatGLpNAXERHpQl3ZohdJoS8iItKF1mzquha9SAp9ERGRLlLf0MiSN7uuRS+SQl9ERKSL\nrFhTzpEubNGLpNAXERHpAvFo0Yuk0BcREekC8WjRi6TQFxER6WTxatGLpNAXERHpROEterdd07Ut\nepEU+iIiIp3oTIueFWBDu7ZFL5JCX0REpJOc1aJ3Zde36EVS6IuIiHSSeLfoRVLoi4iIdIJEaNGL\npNAXERHpBInQohdJoS8iIhJjidKiF0mhLyIiEkOJ1KIXSaEvIiISQ4nUohdJoS8iIhIjidaiF0mh\nLyIiEiOJ1qIXSaEvIiISA4nYohdJoS8iIhIDidiiF0mhLyIicoEStUUvkkJfRETkAiRyi14khb6I\niMgFSOQWvUgKfRERkfOU6C16kRT6IiIi5ynRW/QiKfRFRETOQzK06EVS6IuIiJyHZGjRi9TmLM0s\nDXgcmAjUAXc658rCti8A7gdOA0865xa3NsbMLgFeBLaGhj/unFtiZv8MzAFqgSCw0DlXE8siRURE\nYilZWvQiRTs1WQhkOedmm9kM4JHQe5hZJvAoMA04AZSY2QvAZUB2C2OmAo865x6N+HdMAa51zh2J\nVVEiIiKdJZla9CJFC/05wHIA51ypmU0L2zYW2OacqwYws1XAXGAWsKyFMVOBMWZ2M96n/R/gnSyM\nBhaZWX/gCefcr2JSmYiISCdIpha9SNG+088DwpfaG0PL983bqsO21QK9WhmTDpQCP3TOzQO2Az8B\ncoDHgNuB64HvmNmE86xFRESkUyVbi16kaJ/0a4DcsNdpzrmm0O+rI7blAlWtjGk0s+edc1Wh957H\nC/sTwGPOuVMAZvY6MAlY39akCgpy29qcNPxQhx9qANWRSPxQA/ijDj/UALGt4w+vOI7U1HHLlaO4\neHRhzPbbVaKFfgmwAFhiZjOBj8O2bQZGm1k+cBxvaf9hvIvxWhqzzMy+75xbC1wNrAPGAM+Y2RQg\nHe96gKeiTfrgwdr2VZfACgpyk74OP9QAqiOR+KEG8EcdfqgBYlvH0do6/vjaFvJ6ZHHV5IFd+t8n\nVicu0UJ/KTDfzEpCr+8ws9uAns65RWZ2D7AC72uCJ5xzFWZ2zpjQr98Cfm5mDUAFcLdz7piZ/QZ4\nF2gAnnLObYpJZSIiIjHU3KL3lWuSp0UvUiAYDMZ7Dh0V1NlnYvBDDaA6EokfagB/1OGHGiB2deyo\nqOGnv17H0MKe/Pjrl3b5FfsFBbkx+Rfq5jwiIiJtSOYWvUgKfRERkTYkc4teJIW+iIhIK5K9RS+S\nQl9ERKQVy0NP0bv20qFJ8RS9aBT6IiIiLThaW8efQ0/Ru2lWcbynExMKfRERkRYk41P0olHoi4iI\nREjWp+hFo9AXEREJ46cWvUgKfRERkTB+atGLpNAXEREJ8VuLXiSFvoiISIjfWvQiKfRFRETwZ4te\nJIW+iIgI/mzRi6TQFxGRlHemRa+/v1r0Iin0RUQkpZ3Vone1v1r0Iin0RUQkpfm5RS+SQl9ERFKW\n31v0Iin0RUQkZfm9RS+SQl9ERFJSKrToRVLoi4hISkqFFr1ICn0REUk52/elRoteJIW+iIiklGAw\nyNOvbQH836IXSaEvIiIpZc2mA5TtrUmJFr1ICn0REUkZ4S16X0yBFr1ICn0REUkZ4S16BSnQohdJ\noS8iIikhFVv0Iin0RUQkJaRii14khb6IiPheqrboRVLoi4iIr6Vyi14khb6IiPhaKrfoRVLoi4iI\nb9WleIteJIW+iIj41tI3t6V0i14khb6IiPjS0do6nn19a0q36EVS6IuIiC89t7KMuvpGbknhFr1I\nCn0REfGd5ha9EYN6MSeFW/QiKfRFRMRXwlv07rx5fEq36EVS6IuIiK+Et+hNGNkv3tNJKAp9ERHx\nDbXotU2hLyIivrEixZ+iF41CX0REfEFP0YtOoS8iIr7w7JveU/TUotc6hb6IiCS97ftqeHej9xQ9\ntei1TqEvIiJJTU/Ra7821z/MLA14HJgI1AF3OufKwrYvAO4HTgNPOucWtzbGzC4BXgS2hoY/7pxb\nYmZ3AXeH9vGAc+6lmFYoIiK+VrppP2V7a5imp+hFFe1Lj4VAlnNutpnNAB4JvYeZZQKPAtOAE0CJ\nmb0AXAZktzBmKvCoc+7R5p2bWRHwvdC27sAqM3vFOVcfyyJFRMSf6hoaefbNMjLSA3xBLXpRRVve\nnwMsB3DOleIFfLOxwDbnXLVzrgFYBcwNjVnWwpipwE1mttLMFptZT2A6UOKca3DO1QDb8FYIRERE\nolKLXsdEC/08oCbsdWNo+b55W3XYtlqgVytj0oFS4IfOuXnAduAnQG4r+xAREWmTWvQ6Ltryfg1e\nMDdLc841hX5fHbEtF6hqZUyjmT3vnKsKvbcU+BfgrRb2cTTapAsKcqP9kaTghzr8UAOojkTihxrA\nH3Ukeg2/fWUL9Q1NfOtz4xg6uPXv8hO9jq4ULfRLgAXAEjObCXwctm0zMNrM8oHjeEv7DwPBVsYs\nM7PvO+fWAtcA64A1wINmlg10w/vKYEO0SR88WNvO8hJXQUFu0tfhhxpAdSQSP9QA/qgj0WvYvq+G\nN97bw9D+PZk4LL/VuSZ6He0VqxOXaKG/FJhvZiWh13eY2W1AT+fcIjO7B1iB9zXBE865CjM7Z0zo\n128BPzezBqACuNs5d8zMHgPeDu3jPl3EJyIibVGL3vkLBIPBeM+ho4J+OWtL9jr8UAOojkTihxrA\nH3Ukcg2rP6nkly98wjQr4Dufm9Dmn03kOjqioCA3Jmc2ujmPiIgkDbXoXRiFvoiIJA216F0Yhb6I\niCQFtehdOIW+iIgkBT1F78Ip9EVEJOHpKXqxodAXEZGEpha92FHoi4hIQtNT9GJHoS8iIglLLXqx\npdAXEZGEpRa92FLoi4hIQlKLXuwp9EVEJCGpRS/2FPoiIpJw1KLXORT6IiKSUNSi13kU+iIiklDU\notd5FPoiIpIwPm3RS1OLXidQ6IuISMJYUeq16F03fYha9DqBQl9ERBLCkZpT/LnUa9G7caZa9DqD\nQl9ERBLCcyu3q0Wvkyn0RUQk7sr2VX/aojdRLXqdRaEvIiJxFQwGeebVrUCoRS+gFr3OotAXEZG4\nKt20n7J9atHrCgp9ERGJG7XodS2FvoiIxI1a9LqWQl9EROJCLXpdT6EvIiJxoRa9rqfQFxGRLqcW\nvfhQ6IuISJdSi178KPRFRKRLqUUvfhT6IiLSZeoaGlnyhlr04kWhLyIiXWZFaTlHa9WiFy8KfRER\n6RJq0Ys/hb6IiHSJ51aWqUUvzhT6IiLS6bwWvf1q0Yszhb6IiHQqteglDoW+iIh0KrXoJQ6FvoiI\ndBq16CUWhb6IiHQateglFoW+iIh0iuYWvV5q0UsYCn0REekUzS16n5+nFr1EodAXEZGYO6tFb4Ja\n9BKFQl9ERGIqvEXvK9eMUYteAlHoi4hITJV+EmrRu6iQMUN6x3s6EkahLyIiMVPX0MiSN0MteleM\njPd0JIJCX0REYkYteomtzcspzSwNeByYCNQBdzrnysK2LwDuB04DTzrnFrdjzFeAv3LOzQ69/mdg\nDlALBIGFzrma2JUoIiJdQS16iS9aD8VCIMs5N9vMZgCPhN7DzDKBR4FpwAmgxMxeAC4DslsZcwnw\njYh/xxTgWufckRjVJCIicdDconf7fLXoJapoy/tzgOUAzrlSvIBvNhbY5pyrds41AKuAuaExyyLH\nmFlf4EHgB0Ag9F4aMBpYZGarzOyOGNUlIiJdSC16ySHaqVgeEL7U3mhmac65ptC26rBttUCvVsZk\nAU8A9wCnwrblAI/hrRhkAG+Y2Trn3Pq2JlVQkBtl2snBD3X4oQZQHYnEDzWAP+pobw3BYJD/9fQH\nAHzn1sn0L8zrzGl1mB+ORaxEC/0aIPy/VnPggxf44dtygaqWxgCTgFHAL4BuwDgzexT4IfCYc+4U\ngJm9HvqzbYb+wYO1Uaad+AoKcpO+Dj/UAKojkfihBvBHHR2pYfXGStyuo0y7qJDC3KyEqt0PxwJi\nd+ISLfRLgAXAEjObCXwctm0zMNrM8oHjeEv7D+NdjHfWGOfcWmA8gJkVA8845+4xs7HA02Y2BUjH\nux7gqZhUJiIinU4tesklWugvBeabWUno9R1mdhvQ0zm3yMzuAVbgfZp/wjlXYWbnjInYZwDvxADn\n3CYz+w3wLtAAPOWc23ThZYmISFdobtG7aVaxWvSSQCAYDMZ7Dh0V9MtSTbLX4YcaQHUkEj/UAP6o\noz01HKk5xX2LVtM9K4Of3T0zIa/Y98OxACgoyI3JvYx1cx4RETkveope8lHoi4hIhzW36BX3z1WL\nXhJR6IuISIeEP0XvtmtG6yl6SUShLyIiHaKn6CUvhb6IiLSbWvSSm0JfRETabbmeopfUFPoiItIu\nR2pOsWy1nqKXzBT6IiLSLs+tLKP+tFr0kplCX0REoirbqxY9P1Doi4hIm4LBIE+/phY9P1Doi4hI\nm0o/2c92tej5gkJfRERaFd6i90W16CU9hb6IiLQqvEWvn1r0kp5CX0REWqQWPf9R6IuISIvUouc/\nCn0RETnH5l1H1KLnQwp9ERE5SzAYZPHzGwC16PmNQl9ERM5S+sl+XPlRtej5kEJfRETOqKv3WvQy\nM9Si50cKfREROWP5Gq9Fb+G8kWrR8yGFvoiIAGe36N161eh4T0c6gUJfREQAeDasRS+nW2a8pyOd\nQKEvIiKU7a1mtVr0fE+hLyKS4vQUvdSh0BcRSXF6il7qUOiLiKSw5hY9PUUvNSj0RURSWHOLnp6i\nlxoU+iIiKUpP0Us9Cn0RkRT1rJ6il3IU+iIiKUgteqlJoS8ikmLUope6FPoiIilmtVr0UpZCX0Qk\nhdTVN/KsWvRSlkJfRCSFqEUvtSn0RURShFr0RKEvIpIi1KInCn0RkRSgFj0Bhb6IiO+pRU+aKfRF\nRHxOLXrSTKEvIuJjatGTcAp9EREfU4uehFPoi4j4lFr0JJJCX0TEp5pb9G6ZN1ItegJAm38LzCwN\neByYCNQBdzrnysK2LwDuB04DTzrnFrdjzFeAv3LOzQ69vgu4O7SPB5xzL8WwPhGRlBTeojd7QlG8\npyMJIton/YVAViig7wUead5gZpnAo8B8YB5wt5kVhsZktzLmEuAbYa+LgO8Bs4HrgIfMLCsGdYmI\npCy16ElrooX+HGA5gHOuFJgWtm0ssM05V+2cawBWAXNDY5ZFjjGzvsCDwA+A5r+B04ES51yDc64G\n2Ia3QiAiIudJLXrSmmihnwfUhL1uDC3fN2+rDttWC/RqZUwW8ARwD3AsYv8t7UNERM6DWvSkLdGu\n7KgBcsNepznnmkK/r47YlgtUtTQGmASMAn4BdAPGmdmjwBst7ONotEkXFORG+yNJwQ91+KEGUB2J\nxA81QPzqeHrFZo7W1vGFq0czdnThBe1Lx8J/ooV+CbAAWGJmM4GPw7ZtBkabWT5wHG9p/2EgGDnG\nObcWGA9gZsXAM865e0Lf6T9oZtl4JwNjgQ3RJn3wYG0HSkxMBQW5SV+HH2oA1ZFI/FADxK+OIzWn\nePb1rfTqkcUVEwdc0Bx0LBJLrE5cooX+UmC+mZWEXt9hZrcBPZ1zi8zsHmAF3qf5J5xzFWZ2zpiI\nfQbwTgxwzlWa2WPA26F93Oecq7/wskREUk9zi95Xr1WLnrSszb8Vzrkg8O2It7eEbf8T8Kd2jAnf\nvhPvav3m14uBxe2esYiInEMtetIeujmPiEiSa1KLnrSTQl9EJMmVhlr0LlWLnkSh0BcRSWLhLXpf\nUIueRKHQFxFJYstKd+kpetJuCn0RkSR1pOYUy0vL9RQ9aTeFvohIktJT9KSjFPoiIklILXpyPhT6\nIiJJRi16cr4U+iIiSUYtenK+FPoiIklELXpyIRT6IiJJRC16ciEU+iIiSSK8Re+mWWrRk45T6IuI\nJInwFr1uWWrRk45T6IuIJAG16EksKPRFRBKcWvQkVhT6IiIJTi16Eiu+C/3y/bUcO9kQ72mIiMSE\nWvQklnx1JcjxUw38w6/W0qNbBrfMG8ncSQNJS9MymIgkr+YWvZtmFatFTy6Yrz7p9+iWyVevHUNj\nU5DfrHD89DfrKNtbHe9piYicF7XoSaz5KvQBrpoymIfunsmsi4vYVVnLg799jydf2kTN8fp4T01E\npEPUoiex5rvQB+jVM5u7Fozj3tunMKSwJ6vWV/CjX67m1XW7aWxqivf0RESiOtOiV6QWPYkdX4Z+\nszFDevPjr0/j9vljCAD/8epW/vFX69iyuyreUxMRadVZLXpXq0VPYsfXoQ+QnpbG1VMH87O7Z3L5\nxAHsOXiM//n791n04kaqjtXFe3oiIudQi550lpT5kiivRxZ33DiWuZMH8ruXt/Duxv18sPUQN182\nnKunDiYj3ffnPyKSBNSiJ50p5ZJu5MBe3P+1aXzteiM9LcAfXt/GT55cw6adR+I9NRERPUVPOlXK\nhT5AWlqAKyYP4qH/MosrLhlE5eETPPzMh/zi+Q0cqTkV7+mJSIpSi550tpRZ3m9Jz+6ZfO06Y96k\ngfzuZcfazQf4qOwQC2YP49pLh5KZkZLnRCISJ8++6bXoffVatehJ51CqAcVFufzoL6byjRvHkp2Z\nznMrt/PjJ9ewYfvheE9NRFLEtr3VrP5ELXrSuRT6IWmBAJdNHMBDd8/kmqmDOXD0BI/+8SP+5bmP\nOVR1Mt7TExEfawoGeUYtetIFtH4UIadbJl+ZP4bLJw3k9y87Pth6iA07jnDTzGJumDmUzIz0eE9R\nRHxGLXrSVfRJvxVDCnvyd7dP4a4F48jJzuD5VTv474tL+XDroXhPTUR8RC160pUU+m0IBALMuriI\nn909k+umD+FITR2PPfcx/7TkIw4cPRHv6YmIDzS36F0/Qy160vm0vN8O3bMz+NJVo7ls4kD+45Ut\nfFx2mE92HuH6GcXcNKuY7Ewt+YtIx4W36N04Uy160vn0Sb8DBvXrwQ+/PJlvLxxPbk4Wf3pnJ/99\n0WrecwcIBoPxnp6IJJnmFj09RU+6iv6WdVAgEODSiwqZMKIPL727i+Wl5fx86QYuHpbPV+aPYUDf\nHvGeoogkAbXoSTzok/556paVwS3zRvLTO2cwfngfNu48yo+fWMOSN7Zxqv50vKcnIglMLXoSLwr9\nC1TUJ4e//uIk/urzE+jdM5tlpeX8/aJSSj/ZryV/EWlR6Ua16El8KPRjIBAIMGVMAQ/cNYPPzhlG\n7YkG/v2FjTz89AfsOXgs3tMTkQRSV9/IsyvVoifxodCPoezMdBZePoIH7prB5FH92FxexT88uZZn\nXtvKiVNa8hcRtehJfCn0O0Fh7+58/9aJ/NdbJ9KvVzdeXrub+xat5p0NFVryF0lhatGTeFPod6JJ\no/rx0zun87nLh3Oq7jSL/7SJh37/PuX7a+M9NRGJA7XoSbwp9DtZZkY6C+YM54G7ZjDVCti2p5p/\nfGot//afH3P8VEO8pyciXUQtepIIFPpdpF+v7nz3cxO450uT6J+fw0slO/jRv6/mrY/20aQlfxFf\nU4ueJIo215fMLA14HJgI1AF3OufKwrYvAO4HTgNPOucWtzbGzMYBvwwN3Rp6v9HM/hmYA9QCQWCh\nc64mlkUmkvHD+/I/vpnPO58c4OmXHU8t28zKD/fx1WvHMHxAXrynJyKdQC16kiiifdJfCGQ552YD\n9wKPNG8ws0zgUWA+MA+428wKQ2OyWxjzIHCvc+6y0OsFoV+nANc65650zl3l58BvlpGexi1XjebB\nu2YwfWwhOypqeODX63hq2WZqT9THe3oiEkNq0ZNEEi305wDLAZxzpcC0sG1jgW3OuWrnXAOwCpgb\nGrOshTG3OOdWmVkWUARUhVYFRgOLzGyVmd0Ro7qSQp+8bnzr5vH87W2XMLBfD976aB/3/XI1b7y/\nh8ampnhPT0RiQC16kkiihX4eEP7JuzEU1M3bqsO21QK9WhvjnGsys6HARqAv8DGQAzwG3A5cD3zH\nzCacbzHJ6qLifH5yx6V8+apRNDYF+e3LW/jxE2t4zx1Ui59IElOLniSaaD0jNUBu2Os051zzR9Dq\niG25QFVbY5xz5cBoM/sm3lcD3wAec86dAjCz14FJwPq2JlVQkNvW5qQRWcftN/XixstH8vsVm3ll\nTTk/X7oeK87n6zeNY/zIfnGaZdv8eiySlR/q8EMN4NXx6xVbqD/dxLdvuZghg/LjPaUO89OxEE+0\n0C/B++59iZnNxPt03mwzXoDnA8fxlvYfxrsY75wxZvYCcI9zbhtwDGgExgDPmNkUIB24DHgq2qQP\nHkz+PveCgtxW6/jSFSOZO6GI/3xrO++5g/zo8RImjuzLLfNGMqSwZxfPtHVt1ZBMVEfi8EMNAAeP\n1fP08s18uO0QxUW5TBjWO+nq8sux8FMdsRAt9JcC882sJPT6DjO7DejpnFtkZvcAK/C+JnjCOVdh\nZueMCf36EPCUmdXjnSTc6Zzbb2a/Ad4FGoCnnHObYlJZkhvQtwff/dwEyvZV8+wbZXxcdpj1ZYeZ\neXERn7t8uL4bFEkwTcEgH207xLLV5Wzb633zOXJQHnfcMFYtepIwAkn4nXHQL2dt7a0jGAyyfvsR\nnn2zjD0Hj5GRHuDKSwbzmdnF5OZkdfJMW+enM2jVkRiSsYbTjU28u7GS5aXlVBw+AcD0cUVcdcnA\npG7PS8Zj0RIf1RGTM0fdBzIJBAIBJo7sy/gRfSjduJ+lb2/nlXW7efvjfdwwYyjXXjqU7Kz0eE9T\nJKWcrDvNyg/38fLacqqO1ZOeFmDOhCKunz6UyeMG+CJoxH8U+kkkLRBg1vgipl1UyJsf7uXFkp0s\nfXsHr7+/l8/OGcblkwaSka6bLIp0pupjdbz63h5ef38vJ+tOk52VzrWXDuHaS4fQJ69bvKcn0iaF\nfhLKzEhj/rQhXDZhACvWlLNizW5++/IWVqzdzefnjmDaRYX6DlEkxvYfOcHyNeWUrK/kdGMTeTmZ\n3DB3BFdOGUSPbpnxnp5Iuyj0k1j37AwWXj6CK6cM5sWSHaz8cB//9v82UlxazheuGMm4YX3iPUWR\npLejooY/r97F++4gQbxHZ18/YyizxxeRlamv1SS5KPR9oFePLL56rTH/0iEsfWs7azYd4P888yEX\nD8vn1itGUVykHlWRjggGg2zYcYRlq3exubwKgOKiXG6cWczUMQWkpWklTZKTQt9H+ufn8K2bx3P9\njBqee7OMjTuPsvGptUwfW8jn546gMD8n3lMUSWiNTU2s2XSAZavL2XPwGADjh/fhhhlDuag4n4C+\nNpMkp9D3oWFFefzNly9h406vzW/NpgO85w4yb/JAFswZTq8e8WvzE0lEdfWNvPXxPl5es5vDNacI\nBGDGuP7cMGMoQ/trpUz8Q6HvYxcP68PYv8xn3eYD/OfK7bz+/l5K1ldy3fQhXDd9KN2zdfgltdWe\nqOe10JX4x042kJWRxtVTBnPt9CEU6AZY4kP6v77PpQUCTB/bnyljCnjro328ULKTF0p28vr7e1kw\nZxhXTB5EZoba/CS1HKw6yctrvHtd1J9uoke3DD47ZxhXTR1MXhxveCXS2RT6KSIjPY2rpgxm9vgi\nXlm7m2Wl5Tz96lZeWbubz10+ghkX91ebn/he+f5alpWWs3bTAZqCQfrmdeO66UO4fOJA3eBKUoJC\nP8V0y8qinDS4AAAO00lEQVRgwZzhzLtkEC+9s4s3PtjDoj99wvI15dwybyQTRvTRxUriK8FgkM27\njvLn0nI27jgCwOCCntwwcyiXXlSoG1pJSlHop6i8nCxuu2Y086cNZunbO1i9sZJ/WvIRFw3tza1X\njGLEwLx4T1HkgjQ1BXlvy0GWrd7FzkrvlrgXDe3NDTOLGT9cJ7eSmhT6Ka5f7+7ctWAc188YynMr\nvaf5PfCbdUy1Aj4/dwQD+vaI9xRFOqS+oZGSDZWsKC3nQNVJAsBUK+CGGcU6mZWUp9AXAIYU9uQH\nX5iEKz/KkjfLeM8d5IMth7h80gA+O2c4+bnZ8Z6iSJuOn2rgjff38uq63dScaCAjPY15kwdy/fSh\n9O+je1SIgEJfItjQfP7+L6by/pZDPLeyjJUf7uPdDZXMv3QIN8wYSo7uMS4J5kjNKV5eu5uVH+2j\nrr6R7tkZ3DSrmGumDqZXT52sioRT6Ms5AoEAU62AyaP7UrK+kuff3s5L7+7izQ/2ctOsYVw9dRCZ\nGbrSWeJr76HjLF+9i9Wf7KexKUh+bjY3zxnOvMkDdQ8KkVboJ0NalZ6WxtxJA5kxrj+vvbeHl97d\nxR/f2Mar7+1m4WUj+OyVPeM9RUlBW3ZXsby0nA+3HQJgQN8crp8xlFkXF+lKfJEoFPoSVXZmOjfO\nLGbupIH8efUuXl23hyf/vIlX39/DzXOGMXlUP10JLZ2qKRjko62HWFZazra91QCMGtSLG2YOZdKo\nfrrHhEg7KfSl3Xp2z+SLV47imqmDeX7VDt5ZX8G/PLeeUYN78YUrRjJ6cO94T1F85nRjE+9urGR5\naTkVh08AMHlUP26YOVR/30TOg0JfOqxPXje+ceNYbrvuIhY/v54Pth7iod+9z+RR/bhl3ggGFWjZ\nXy7M0do63tlQwWvv7aHqWD3paQHmTCji+hnFDOqnNlKR86XQl/M2tCiP790yka17qnj2zTI+3HaI\nj8oOMXt8ETfOLKaoT46W/aXd6hsaeeuDPSwr2cHGnUcIBiE7K53rpg9h/rQh9MnrFu8piiQ9hb5c\nsNGDe3Pv7VP4aNthnltZRsn6SkrWV9KjWwbDinIZNiCPYUW5DB+QR35utk4E5IxgMMj2fTWUrK+g\ndNMBTtadBmDkwDzmTBjA9LGFahMViSGFvsREIBBg8uh+TBzZl9JP9vNR2SF2VtaycedRNu48eubP\n5eVknjkJGDYgj+FFueqlTkHNy/cl6yupPOJ9V5+fm81nLhvO5BF9dCdIkU6i0JeYSksLMGt8EbPG\nFwHeXdJ2Vtays6KGnRW17Kys4eOyw3xcdvjMmPzc7LNOAoYNyKNnd32685v6hkY+2HqIkvUVZ5bv\nMzPSmDGuP3MmFDGuuA/9++dx8GBtvKcq4lsKfelUPbplcvGwPlw8rM+Z92qO17OzsvkkoJYdFTV8\nsPUQH2w9dObP9OvV7ayTgOL+ueR001/XZNPq8v2g0PL9RVq+F+lK+r+odLm8HllMHNmPiSP7AV4w\nVB2rZ2dFDTuaVwUqa1m3+QDrNh84M65/nxyGD8hlWJH39UBx/1w9Az1BtbZ8f9WUQcweX6Tle5E4\nUehL3AUCAfJzs8nPLeCSMQWAdyJwuPrUWScBOytrWL3xBKs37g+Ng4H9epy5SHBYUR5DCnvoFsFx\n0p7l+7Q0XcQpEk8KfUlIgUCAfr270693dy69qBDw7sp24OjJMycBOypq2LW/lr0Hj1OyvhKA9LQA\ngwp6hE4CvFWBQQU9dHvWTqLle5HkotCXpJEWCFDUJ4eiPjnMvNi7ULCpKUjF4ePsCF0kuLOylvL9\nxyjff4yVoXEZ6WkM7d8zbEUglwF9e+hT5wXQ8r1IclLoS1JLSwswqKAngwp6ctnEAYB369a9B4+f\nOQnYUVHDrspatu+rAfYC3vMEhvbvyfABeUwYU0jfHpkU5nfXPdzboOV7keSn0BffyUhPo7gol+Ki\nXOaF3ms43cjuA8fZUVFz5mRg295qtu6p5uW1uwHonh26mVCoY2Bg3xwK87un9DUCWr4X8ReFvqSE\nzIx0RgzMY8TAvDPv1dU3smt/LYeO1bNh20F2VNSyaddRNu369GZCASA/L5v++d4JQPOvhfndKezd\nnaxMf54QaPlexJ8U+pKysrPSGTOkN3MKcpk91rtY8MSp0+zaX8uuyloqjxznwNGT7D968pyTgWb5\nudn0z+9OYX7OWb8W5HcnO8lOCLR8L+J/Cn2RMDndMhhbnM/Y4vyz3q9raORg1Un2HznJgaoT3snA\nkRMcqDrJ5vIqNpdXnbOv/NxsCnt3p3+fs08KChPohEDL9yKpRaEv0g7ZmekMLujJ4BYeG1wfOiFo\nXhU4cPTEmV+37K7C7T73hKB3z6ywE4GzvzboltX5P5ZavhdJTQp9kQuUlZl+poMgUsPpRg5UnfJO\nBI6c5EDVyTO/37q7ii0tnBD06plF/97dKezjnRTE6oRAy/ciotAX6USZGekM6teDQf3O/eTccLrp\nzApB+OrA/qMn2bq3mi17qs8Z06tH1lkrA/375FDY2zshaImW70UknEJfJE4yM9IY2K8HA1s5IThU\n3fx1wUn2Hz1x5uSgudUwUu/cbPr16nbm2gGCQd7duF/L9yJyhkJfJAFlZqQxoG+PFsP5dGMTh6pP\neRcShp0UHK6pY/veGraFnRBo+V5Ewin0RZJMRnramdsRhysoyKWisprD1afYf/Qkp+pPM354Hy3f\ni8gZCn0RH8lIT6N/nxz6R5wQiIgA6NFjIiIiKUKhLyIikiLaXN43szTgcWAiUAfc6ZwrC9u+ALgf\nOA086Zxb3NoYMxsH/DI0dGvo/UYzuwu4O7SPB5xzL8W0QhEREQGif9JfCGQ552YD9wKPNG8ws0zg\nUWA+MA+428wKQ2OyWxjzIHCvc+6y0OsFZlYEfA+YDVwHPGRmWTGpTERERM4SLfTnAMsBnHOlwLSw\nbWOBbc65audcA7AKmBsas6yFMbc451aFQr0IqAKmAyXOuQbnXA2wDW+FQERERGIsWujnATVhrxtD\ny/fN28LvEFIL9GptjHOuycyGAhuBvsDHQG4r+xAREZEYi9ayV4MXzM3SnHNNod9XR2zLxfv03uoY\n51w5MNrMvon31cBzLezj3OeXni1QUJAb5Y8kBz/U4YcaQHUkEj/UAP6oww81gH/qiIVon/RLgBsB\nzGwm3qfzZpvxAjw/tGQ/F3intTFm9oKZjQqNPQY0AmuAy80s28x64X1lsCEWhYmIiMjZAsFgsNWN\nZhbg0yvxAe4ApgI9nXOLzOwzwI/xTh6ecM79oqUxzrktZjYLeBioB47jXb2/38zuxLt6Pw140Dm3\nNOZVioiISNuhLyIiIv6hm/OIiIikCIW+iIhIilDoi4iIpAiFvoiISIpImEfrhm7h+x5wtXNuS9j7\ntwH/DTgFLHHO/d/Q++/z6Y19tjvnvmlmlwAv4t3bH+AXzrk/dlUNoXl1tI4fAQuATOBfnXO/DrU2\nPgU04bUwftc512VXXMaohqQ6Fmb2deAvQ3+kOzAJ6A8UkiTHoo0aRpJcxyINWAyMwfvvfpdzzsX7\n5yKGdcT1Z6ODNWSFahgFNADfd859lITHorU64n0szsmxsG0debZNu49HQoR+6D7+/47Xyhf+fl/g\nZ8AleP9h3jCzN4FNAM65KyN2NRV41Dn3aGfPuSXnUUcvYJZzbraZ9cT7iwrejYvuc869ZWa/AG4G\nnk+CGnoAfxsaklTHwjn3FN4PDWb2r8Bi51yNmf2OJDkWbdSQVMcC70Slh3PuMjO7Bu+5HbcSx5+L\nGNcRt+NxHjXMBk6Efr7HAE8Tmj/JdSxaqyOex6IbtJhj4c+2mQacAErM7AXgMkLPtjGzGXjPtllI\nB45HoizvPwz8AqiIeH8k8JFzrip01rIa7yZAE4EcM1thZq+FigfvAN5kZivNbHEoSLtSR+u4Flhv\nZs8DL4T+AZjinHsr9PtlwDWdPvNPXUgNL/JpDcl2LAAws2nAxc65xaG3kulYAC3XQHIdi5NAr9A9\nP3rh3dsD4nssIHZ1xPNno6M1jOPT569sAQaFbqSWbMeitTrieSwm0XKOQcefbdPu4xH30A8tSR50\nzr0ceisQtnkrcLGZFZpZDnA1kIN35vOwc+464FvA780sHSgFfuicmwdsB37SRWWcTx09gH54B+1W\nQnW0MPYYXfQ8ghjXkEzHIids+33AP4S9TpZj0VYNa0iuY7EK6IZ3189fAo+1MLbLjgXEvI64/Gyc\n58/3h8BnQuNnAgWh95PpWLRVR9z+P4W3ShGZY+fzbJt0OnA84h76eHf5m29mbwCTgV+HvqvBOXcU\n+Gu8e/T/B/A+cAjYQihcnHNbgcN4T+5b6pz7ILTf5/GWeBK5jsPACufc6dDZ5ykzK8D7XqZZ8zMN\nkqmGfiTfscDMegNjnHMrw/aVTMeitRqS6VgcBv4O7+mbhvdp6Ddmlk38jgXEro4s4nc8OlrDQeBJ\noMbM3sZbRnbAEZLrWLRUxxa8YxTPn42WcmxAaFtHnm3TSAeOR9xD3zk3zzl3Reh7jQ+BrznnDgCY\nWQYwzTl3OfAlvB+c1/AO+iOhPzMQr8hKYLmZXRra9dXAugSu41W8TwLXh9WRg3fgPzCzeaFd3wC8\nRReIYQ1HSK5j8Vpo6Nyw3zdLlmPRVg3Jdix68OmnmaN4F4imE6djEcM6MkL/xOV4nGcN04HXQ+8/\nC1Q6506RfMciso4K51wdcfzZ4Nwcy8PLMejgs23owPFIiAv5IgTMu/qy+f7+jWb2Ht4Dev7NObfd\nzJ4AfmVmzYV9wznXaGbfAn5uZg143/XcHZ8SgHbUAWw3s7lmtgbvBOy7znsE8d8Ai0IH+xO8v6TJ\nVkOyHQvwrrIuixibTMcCWq4hmY5FmZk9jPfz/TZe4P/IOXcigX4u4PzquC9UR6Icj/b8v7YK+IOZ\n3Yd3NfxdobHJdCzaqiOexyIyx+4AvmhmzXXcA6zg02fbVJjZUrxVjpKwMdCB46F774uIiKSIuC/v\ni4iISNdQ6IuIiKQIhb6IiEiKUOiLiIikCIW+iIhIilDoi4iIpAiFvoiISIr4//SMBQGJNNu8AAAA\nAElFTkSuQmCC\n", "text": [ - "" + "" ] } ], - "prompt_number": 14 + "prompt_number": 20 }, { "cell_type": "code", @@ -232,9 +239,9 @@ { "metadata": {}, "output_type": "pyout", - "prompt_number": 16, + "prompt_number": 21, "text": [ - "[]" + "[]" ] }, { @@ -242,23 +249,25 @@ "output_type": "display_data", "png": "iVBORw0KGgoAAAANSUhEUgAAAe4AAAFVCAYAAAApGgzgAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nJUnKEYNbkqQc+f/6WZzQDEq0BAAAAABJRU5ErkJggg==\n", "text": [ - "" + "" ] } ], - "prompt_number": 16 + "prompt_number": 21 }, { "cell_type": "code", "collapsed": false, - "input": [], + "input": [ + "model_EK.ac" + ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", - "prompt_number": 17, + "prompt_number": 22, "text": [ "array([ 0.05516054, 0.05523257, 0.04700856, 0.04758903, 0.04291374,\n", " 0.01426609, 0.05247898, nan, nan, nan,\n", @@ -363,7 +372,7 @@ ] } ], - "prompt_number": 17 + "prompt_number": 22 }, { "cell_type": "code",