diff --git a/cosipy/polarization/__init__.py b/cosipy/polarization/__init__.py index eadc83f2..cbd3de4f 100644 --- a/cosipy/polarization/__init__.py +++ b/cosipy/polarization/__init__.py @@ -1,2 +1,3 @@ +from .polarization_asad import PolarizationASAD, calculate_uncertainties from .conventions import PolarizationConvention, OrthographicConvention, StereographicConvention, IAUPolarizationConvention from .polarization_angle import PolarizationAngle diff --git a/cosipy/polarization/polarization_asad.py b/cosipy/polarization/polarization_asad.py new file mode 100644 index 00000000..4363bba7 --- /dev/null +++ b/cosipy/polarization/polarization_asad.py @@ -0,0 +1,568 @@ +import numpy as np +from astropy.coordinates import Angle +import astropy.units as u +from astropy.stats import poisson_conf_interval +import matplotlib.pyplot as plt +from scipy.optimize import curve_fit +from cosipy.polarization.polarization_angle import PolarizationAngle +from cosipy.polarization.conventions import MEGAlibRelativeX, IAUPolarizationConvention +from cosipy.response import FullDetectorResponse +from scoords import SpacecraftFrame + +def calculate_uncertainties(counts): + """ + Calculate the Poisson/Gaussian uncertainties for a list of binned counts. + + Parameters + ---------- + counts : list + List of counts in each bin + + Returns + ------- + uncertainties : np.ndarray + Lower & upper uncertainties for each bin + """ + + uncertainties_low = [] + uncertainties_high = [] + for i in range(len(counts)): + if counts[i] <= 5: + poisson_uncertainty = poisson_conf_interval(counts[i], interval="frequentist-confidence", sigma=1) + uncertainties_low.append(counts[i] - poisson_uncertainty[0]) + uncertainties_high.append(poisson_uncertainty[1] - counts[i]) + else: + gaussian_uncertainty = np.sqrt(counts[i]) + uncertainties_low.append(gaussian_uncertainty) + uncertainties_high.append(gaussian_uncertainty) + + uncertainties = np.array([uncertainties_low, uncertainties_high]) + + return uncertainties + +class PolarizationASAD(): + """ + Azimuthal scattering angle distribution (ASAD) method to fit polarization. + + Parameters + ---------- + source_vector : astropy.coordinates.sky_coordinate.SkyCoord + Source direction + source_spectrum : astromodels.functions.functions_1D + Spectrum of source + response_file : str or pathlib.Path + Path to detector response + sc_orientation : cosipy.spacecraftfile.SpacecraftFile.SpacecraftFile + Spacecraft orientation + fit_convention : cosipy.polarization.conventions.PolarizationConvention, optional + Polarization reference convention to use for fit. Default is RelativeX + """ + + def __init__(self, source_vector, source_spectrum, response_file, sc_orientation, fit_convention=None): + + if fit_convention == None: + self._convention = MEGAlibRelativeX(attitude=source_vector.attitude) + else: + self._convention = fit_convention + + reference_vector = self._convention.get_basis(source_vector)[0] #px + + if isinstance(source_vector.frame, SpacecraftFrame): + self._source_vector = source_vector + else: + self._source_vector = source_vector.transform_to(SpacecraftFrame(attitude=source_vector.attitude)) + + if isinstance(reference_vector.frame, SpacecraftFrame): + self._reference_vector = reference_vector + else: + self._reference_vector = reference_vector.transform_to(SpacecraftFrame(attitude=source_vector.attitude)) + + self._source_vector_cartesian = [self._source_vector.cartesian.x.value, + self._source_vector.cartesian.y.value, + self._source_vector.cartesian.z.value] + self._reference_vector_cartesian = [self._reference_vector.cartesian.x.value, + self._reference_vector.cartesian.y.value, + self._reference_vector.cartesian.z.value] + + self._expectation, self._azimuthal_angle_bins = self.convolve_spectrum(source_spectrum, response_file, sc_orientation) + + self._energy_range = [min(self.response.axes['Em'].edges.value), max(self.response.axes['Em'].edges.value)] + + def convolve_spectrum(self, spectrum, response_file, sc_orientation): + """ + Convolve source spectrum with response and calculate azimuthal scattering angle bins. + + Parameters + ---------- + response_file : str or pathlib.Path + Path to detector response + sc_orientation : cosipy.spacecraftfile.SpacecraftFile.SpacecraftFile + Spacecraft orientation + + Returns + ------- + expectation : cosipy.response.PointSourceResponse.PointSourceResponse + Expected counts in each bin of Compton data space + azimuthal_angle_bins : list + Centers of azimuthal scattering angle bins calculated from PsiChi bins in response + """ + + self.response = FullDetectorResponse.open(response_file) + + target_in_sc_frame = sc_orientation.get_target_in_sc_frame(target_name='source', target_coord=self._source_vector.transform_to('galactic')) + dwell_time_map = sc_orientation.get_dwell_map(response=response_file, src_path=target_in_sc_frame) + + psr = self.response.get_point_source_response(exposure_map=dwell_time_map, coord=self._source_vector.transform_to('galactic')) + + expectation = psr.get_expectation(spectrum) + + azimuthal_angle_bins = [] + + for i in range(expectation.axes['PsiChi'].nbins): + azimuthal_angle = self.calculate_azimuthal_scattering_angle(expectation.project(['PsiChi']).axes['PsiChi'].pix2ang(i)[0], expectation.project(['PsiChi']).axes['PsiChi'].pix2ang(i)[1]) + azimuthal_angle_bins.append(azimuthal_angle) + + return expectation, azimuthal_angle_bins + + def calculate_azimuthal_scattering_angle(self, psi, chi): + """ + Calculate the azimuthal scattering angle of a scattered photon. + + Parameters + ---------- + psi : float + Polar angle (radians) of scattered photon in local coordinates + chi : float + Azimuthal angle (radians) of scattered photon in local coordinates + + Returns + ------- + azimuthal_angle : astropy.coordinates.Angle + Azimuthal scattering angle defined with respect to given reference vector + """ + + # Convert scattered photon vector from spherical to Cartesian coordinates + scattered_photon_vector = [np.sin(psi) * np.cos(chi), np.sin(psi) * np.sin(chi), np.cos(psi)] + + # Project scattered photon vector onto plane perpendicular to source direction + d = np.dot(scattered_photon_vector, self._source_vector_cartesian) / np.dot(self._source_vector_cartesian, self._source_vector_cartesian) + projection = [scattered_photon_vector[0] - (d * self._source_vector_cartesian[0]), + scattered_photon_vector[1] - (d * self._source_vector_cartesian[1]), + scattered_photon_vector[2] - (d * self._source_vector_cartesian[2])] + + # Calculate angle between scattered photon vector & reference vector on plane perpendicular to source direction + cross_product = np.cross(projection, self._reference_vector_cartesian) + if np.dot(self._source_vector_cartesian, cross_product) < 0: + sign = -1 + else: + sign = 1 + normalization = np.sqrt(np.dot(projection, projection)) * np.sqrt(np.dot(self._reference_vector_cartesian, self._reference_vector_cartesian)) + + azimuthal_angle = Angle(sign * np.arccos(np.dot(projection, self._reference_vector_cartesian) / normalization), unit=u.rad) + + return azimuthal_angle + + def calculate_azimuthal_scattering_angles(self, unbinned_data): + """ + Calculate the azimuthal scattering angles for all events in a dataset. + + Parameters + ---------- + unbinned_data : dict + Unbinned data including polar and azimuthal angles (radians) of scattered photon in local coordinates + + Returns + ------- + azimuthal_angles : list + Azimuthal scattering angles. Each angle must be an astropy.coordinates.Angle object + """ + + azimuthal_angles = [] + + for i in range(len(unbinned_data['Psi local'])): + if unbinned_data['Energies'][i] >= self._energy_range[0] and unbinned_data['Energies'][i] <= self._energy_range[1]: + azimuthal_angle = self.calculate_azimuthal_scattering_angle(unbinned_data['Psi local'][i], unbinned_data['Chi local'][i]) + azimuthal_angles.append(azimuthal_angle) + + return azimuthal_angles + + def create_asad(self, azimuthal_angles, bins=20): + """ + Create ASAD and calculate uncertainties. + + Parameters + ---------- + azimuthal_angles : list + Azimuthal scattering angles (radians) + bins : int or np.array, optional + Number of azimuthal scattering angle bins if int or edges of azimuthal scattering angle bins if np.array (radians) + + Returns + ------- + asad : dict + Counts and Gaussian/Poisson errors in each azimuthal scattering angle bin + """ + + if isinstance(bins, int): + bin_edges = Angle(np.linspace(-np.pi, np.pi, bins), unit=u.rad) + else: + bin_edges = bins + + counts, edges = np.histogram(azimuthal_angles, bins=bin_edges) + self._bin_edges = edges + self._bins = [] + for i in range(len(self._bin_edges) - 1): + self._bins.append((self._bin_edges[i] + self._bin_edges[i+1]) / 2) + errors = calculate_uncertainties(counts) + + asad = {'counts': counts, 'uncertainties': errors} + + return asad + + def create_unpolarized_asad(self, bins=None): + """ + Calculate the azimuthal scattering angles for all bins. + + Parameters + ---------- + bins : int or np.array, optional + Number of azimuthal scattering angle bins if int or edges of azimuthal scattering angle bins if np.array (radians) + + Returns + ------- + asad : dict + Counts and Gaussian/Poisson errors in each azimuthal scattering angle bin + """ + + if not bins == None: + if isinstance(bins, int): + bin_edges = Angle(np.linspace(-np.pi, np.pi, bins), unit=u.rad) + else: + bin_edges = bins + else: + bin_edges = self._bin_edges + + unpolarized_asad = [] + + for i in range(len(bin_edges)-1): + counts = 0 + for j in range(self._expectation.project(['PsiChi']).nbins): + if self._azimuthal_angle_bins[j] >= bin_edges[i] and self._azimuthal_angle_bins[j] < bin_edges[i+1]: + counts += self._expectation.project(['PsiChi'])[j] + unpolarized_asad.append(counts) + + asad = {'counts': unpolarized_asad, 'uncertainties': calculate_uncertainties(unpolarized_asad)} + + return asad + + def create_polarized_asads(self, bins=None): + """ + Calculate the azimuthal scattering angles for all bins. + + Parameters + ---------- + bins : int or np.array, optional + Number of azimuthal scattering angle bins if int or edges of azimuthal scattering angle bins if np.array (radians) + + Returns + ------- + asads : dict + Counts and Gaussian/Poisson errors in each azimuthal scattering angle bin for each polarization angle bin + """ + + if not bins == None: + if isinstance(bins, int): + bin_edges = Angle(np.linspace(-np.pi, np.pi, bins), unit=u.rad) + else: + bin_edges = bins + else: + bin_edges = self._bin_edges + + polarized_asads = {} + polarized_asad_uncertainties = {} + for k in range(self._expectation.axes['Pol'].nbins): + polarized_asads[k] = [] + for i in range(len(bin_edges)-1): + counts = 0 + for j in range(self._expectation.project(['PsiChi']).nbins): + if self._azimuthal_angle_bins[j] >= bin_edges[i] and self._azimuthal_angle_bins[j] < bin_edges[i+1]: + counts += self._expectation.slice[{'Pol':slice(k,k+1)}].project(['PsiChi'])[j] + polarized_asads[k].append(counts) + polarized_asad_uncertainties[k] = calculate_uncertainties(polarized_asads[k]) + + asads = {'counts': polarized_asads, 'uncertainties': polarized_asad_uncertainties} + + return asads + + def asad_sinusoid(self, x, a, b, c): + """ + Sinusoid to fit to ASAD. + + Parameters + ---------- + x : float + Azimuthal scattering angle (radians) + a : float + First parameter + b : float + Second parameter + c : float + Third parameter + + Returns + ------- + asad_function : float + Y-value of ASAD + """ + + asad_function = a - (b * np.cos(2 * (x - c))) + + return asad_function + + def fit_asad(self, counts, p0, bounds, sigma): + """ + Fit the ASAD with a sinusoid. + + Parameters + ---------- + counts : list + Counts in each azimuthal scattering angle bin + p0 : list or np.array + Initial guess for parameter values + bounds : 2-tuple of float, list, or np.array + Lower & upper bounds on parameters + sigma : float, list, or np.array + Uncertainties in y data + + Returns + ------- + popt : np.ndarray + Fitted parameter values + uncertainties : list + Uncertainty on each parameter value + """ + + popt, pcov = curve_fit(self.asad_sinusoid, Angle(self._bins).rad, counts, p0=p0, bounds=bounds, sigma=sigma) + uncertainties = [] + for i in range(len(pcov)): + uncertainties.append(np.sqrt(pcov[i][i])) + + return popt, uncertainties + + def plot_asad(self, counts, error, title, coefficients=[]): + """ + Plot the ASAD. + + Parameters + ---------- + counts : list + Counts in each azimuthal scattering angle bin + error : np.ndarray + Lower & upper uncertainties for each bin + title : str + Title of plot + coefficients : list, optional + Coefficients to plot fitted sinusoidal function + """ + + plt.scatter(Angle(self._bins).degree, counts) + plt.errorbar(Angle(self._bins).degree, counts, yerr=error, linewidth=0, elinewidth=1) + plt.title(title) + plt.xlabel('Azimuthal Scattering Angle (degrees)') + + if len(coefficients) == 3: + x = np.linspace(-np.pi, np.pi, 1000) + y = [] + for item in x: + y.append(self.asad_sinusoid(item, coefficients[0], coefficients[1], coefficients[2])) + plt.plot(list(np.rad2deg(x)), y, color='green') + + plt.show() + + def correct_asad(self, data_asad, unpolarized_asad): + """ + Correct the ASAD using the ASAD of an unpolarized source. + + Parameters + ---------- + data_asad : dict + Counts and uncertainties in each azimuthal scattering angle bin of data + unpolarized_asad : dict + Counts and uncertainties in each azimuthal scattering angle bin of unpolarized source + + Returns + ------- + asad : dict + Normalized counts and uncertainties in each azimuthal scattering angle bin + """ + + corrected = [] + for i in range(len(self._bins)): + corrected.append(data_asad['counts'][i] / np.sum(data_asad['counts']) / unpolarized_asad['counts'][i] * np.sum(unpolarized_asad['counts'])) + + errors_low = [] + errors_high = [] + for i in range(len(self._bins)): + sigma_corrected_low = corrected[i] * np.sqrt(((data_asad['uncertainties'][0][i])/data_asad['counts'][i])**2 + ((unpolarized_asad['uncertainties'][0][i])/unpolarized_asad['counts'][i])**2) + sigma_corrected_high = corrected[i] * np.sqrt(((data_asad['uncertainties'][1][i])/data_asad['counts'][i])**2 + ((unpolarized_asad['uncertainties'][1][i])/unpolarized_asad['counts'][i])**2) + errors_low.append(sigma_corrected_low) + errors_high.append(sigma_corrected_high) + + asad = {'counts': corrected, 'uncertainties': np.array([errors_low, errors_high])} + + return asad + + def calculate_mu(self, counts_corrected, p0=None, bounds=(-np.inf, np.inf), sigma=None): + """ + Calculate the modulation (mu). + + Parameters + ---------- + counts_corrected : list + Counts in each azimuthal scattering angle bin + p0 : list or np.array + Initial guess for parameter values + bounds : 2-tuple of float, list, or np.array + Lower & upper bounds on parameters + sigma : float, list, or np.array + Uncertainties for each azimuthal scattering angle bin + + Returns + ------- + modulation : dict + Modulation and uncertainty of fitted sinusoid + """ + + if isinstance(sigma, np.ndarray) and len(sigma.shape) == 2: + for i in range(len(sigma[0])): + if sigma[0][i] != sigma[1][i]: + print('Warning: Uncertainty in at least one bin of ASAD is not Gaussian. Making error bars symmetric. Fit may not be accurate.') + break + symmetric_sigma = [] + for i in range(len(sigma[0])): + symmetric_sigma.append((sigma[0][i] + sigma[1][i]) / 2) + sigma = symmetric_sigma + + parameter_values, uncertainties = self.fit_asad(counts_corrected, p0, bounds, sigma) + + mu = parameter_values[1] / parameter_values[0] + mu_uncertainty = mu * np.sqrt((uncertainties[0]/parameter_values[0])**2 + (uncertainties[1]/parameter_values[1])**2) + + modulation = {'mu': mu, 'uncertainty': mu_uncertainty} + + print('Modulation:', round(mu, 3), '+/-', round(mu_uncertainty, 3)) + + return modulation + + def constant(self, x, a): + """ + Constant function to fit to mu_100 values. + + Parameters + ---------- + x : float + Mu_100 + a : float + Parameter + + Returns + ------- + a : float + Constant value + """ + + return a + + def calculate_mu100(self, polarized_asads, unpolarized_asad): + """ + Calculate the modulation (mu) of an 100% polarized source. + + Parameters + ---------- + polarized_asads : list + Counts and Gaussian/Poisson errors in each azimuthal scattering angle bin for each polarization angle bin for 100% polarized source + unpolarized_asad : list or np.array + Counts and Gaussian/Poisson errors in each azimuthal scattering angle bin for unpolarized source + + Returns + ------- + mu_100 : dict + Modulation of 100% polarized source and uncertainty of constant function fit to modulation in all polarization angle bins + """ + + mu_100_list = [] + mu_100_uncertainties = [] + for i in range(self._expectation.axes['Pol'].nbins): + print('Polarization angle bin: ' + str(self._expectation.axes['Pol'].edges[i]) + ' to ' + str(self._expectation.axes['Pol'].edges[i+1])) + asad_polarized = {'counts': polarized_asads['counts'][i], 'uncertainties': polarized_asads['uncertainties'][i]} + asad_polarized_corrected = self.correct_asad(asad_polarized, unpolarized_asad) + mu_100 = self.calculate_mu(asad_polarized_corrected['counts'], bounds=([0, 0, 0], [np.inf,np.inf,np.pi]), sigma=asad_polarized_corrected['uncertainties']) + mu_100_list.append(mu_100['mu']) + mu_100_uncertainties.append(mu_100['uncertainty']) + self.plot_asad(asad_polarized_corrected['counts'], asad_polarized_corrected['uncertainties'], 'Corrected 100% Polarized ASAD', coefficients=self.fit(mu_100, asad_polarized_corrected['counts'], bounds=([0, 0, 0], [np.inf,np.inf,np.pi]), sigma=asad_polarized_corrected['uncertainties'])['best fit parameter values']) + + popt, pcov = curve_fit(self.constant, self._expectation.axes['Pol'].centers, mu_100_list, sigma=mu_100_uncertainties) + mu_100 = {'mu': popt[0], 'uncertainty': pcov[0][0]} + + plt.scatter(self._expectation.axes['Pol'].centers, mu_100_list) + plt.errorbar(self._expectation.axes['Pol'].centers, mu_100_list, yerr=mu_100_uncertainties, linewidth=0, elinewidth=1) + plt.plot([0, 175], [mu_100['mu'], mu_100['mu']]) + plt.xlabel('Polarization Angle (degrees)') + plt.ylabel('mu_100') + plt.show() + + print('mu_100:', round(mu_100['mu'], 2)) + + return mu_100 + + def fit(self, mu_100, counts_corrected, p0=None, bounds=(-np.inf, np.inf), sigma=None): + """ + Fit the polarization fraction and angle. + + Parameters + ---------- + mu_100 : dict + Modulation and uncertainty of a 100% polarized source + counts_corrected : list + Counts in each azimuthal scattering angle bin + p0 : list or np.array + Initial guess for parameter values + bounds : 2-tuple of float, list, or np.array + Lower & upper bounds on parameters + sigma : float, list, or np.array + Uncertainties for each azimuthal scattering angle bin + + Returns + ------- + polarization : dict + Polarization fraction, polarization angle, and best fit parameter values for fitted sinusoid, and associated uncertainties + """ + + if isinstance(sigma, np.ndarray) and len(sigma.shape) == 2: + for i in range(len(sigma[0])): + if sigma[0][i] != sigma[1][i]: + print('Warning: Uncertainty in at least one bin of ASAD is not Gaussian. Making error bars symmetric. Fit may not be accurate.') + break + symmetric_sigma = [] + for i in range(len(sigma[0])): + symmetric_sigma.append((sigma[0][i] + sigma[1][i]) / 2) + sigma = symmetric_sigma + + parameter_values, uncertainties = self.fit_asad(counts_corrected, p0, bounds, sigma) + + polarization_fraction = parameter_values[1] / (parameter_values[0] * mu_100['mu']) + polarization_fraction_uncertainty = polarization_fraction * np.sqrt((uncertainties[0]/parameter_values[0])**2 + (uncertainties[1]/parameter_values[1])**2 + (mu_100['uncertainty']/mu_100['mu'])**2) + + polarization_angle = Angle(parameter_values[2], unit=u.rad) + polarization_angle.wrap_at(180 * u.deg, inplace=True) + if polarization_angle.degree < 0: + polarization_angle += Angle(180, unit=u.deg) + polarization_angle = PolarizationAngle(polarization_angle, self._source_vector, convention=self._convention).transform_to(IAUPolarizationConvention()) + polarization_angle_uncertainty = Angle(uncertainties[2], unit=u.rad) + + polarization = {'fraction': polarization_fraction, 'angle': polarization_angle, 'fraction uncertainty': polarization_fraction_uncertainty, 'angle uncertainty': polarization_angle_uncertainty, 'best fit parameter values': parameter_values, 'best fit parameter uncertainties': uncertainties} + + print('Best fit polarization fraction:', round(polarization_fraction, 3), '+/-', round(polarization_fraction_uncertainty, 3)) + print('Best fit polarization angle:', round(polarization_angle.angle.degree, 3), '+/-', round(polarization_angle_uncertainty.degree, 3)) + + return polarization diff --git a/cosipy/response/FullDetectorResponse.py b/cosipy/response/FullDetectorResponse.py index a889c7a4..338d8ae9 100644 --- a/cosipy/response/FullDetectorResponse.py +++ b/cosipy/response/FullDetectorResponse.py @@ -49,7 +49,7 @@ def __init__(self, *args, **kwargs): pass @classmethod - def open(cls, filename,Spectrumfile=None,norm="Linear" ,single_pixel = False,alpha=0,emin=90,emax=10000): + def open(cls, filename,Spectrumfile=None,norm="Linear" ,single_pixel = False,alpha=0,emin=90,emax=10000, polarization=False): """ Open a detector response file. @@ -74,7 +74,6 @@ def open(cls, filename,Spectrumfile=None,norm="Linear" ,single_pixel = False,alp emin,emax : float emin/emax used in the simulation source file. - """ filename = Path(filename) @@ -169,10 +168,11 @@ def _open_rsp(cls, filename, Spectrumfile=None,norm="Linear" ,single_pixel = Fal emin,emax : float emin/emax used in the simulation source file. - """ - labels = ("Ei", "NuLambda", "Em", "Phi", "PsiChi", "SigmaTau", "Dist") + + + axes_names = [] axes_edges = [] axes_types = [] sparse = None @@ -215,6 +215,9 @@ def _open_rsp(cls, filename, Spectrumfile=None,norm="Linear" ,single_pixel = Fal if line[1] == "false" : sparse = False + elif key == 'AN': + axes_names += [" ".join(line[1:])] + elif key == 'AD': if axes_types[-1] == "FISBEL": @@ -247,6 +250,16 @@ def _open_rsp(cls, filename, Spectrumfile=None,norm="Linear" ,single_pixel = Fal elif key == "StartStream": nbins = int(line[1]) break + + # Check axes names and relabel + if np.array_equal(axes_names, ['"Initial energy [keV]"', '"#nu [deg]" "#lambda [deg]"', '"Polarization Angle [deg]"', '"Measured energy [keV]"', '"#phi [deg]"', '"#psi [deg]" "#chi [deg]"', '"#sigma [deg]" "#tau [deg]"', '"Distance [cm]"']): + has_polarization = True + labels = ("Ei", "NuLambda", "Pol", "Em", "Phi", "PsiChi", "SigmaTau", "Dist") + elif np.array_equal(axes_names, ['"Initial energy [keV]"', '"#nu [deg]" "#lambda [deg]"', '"Measured energy [keV]"', '"#phi [deg]"', '"#psi [deg]" "#chi [deg]"', '"#sigma [deg]" "#tau [deg]"', '"Distance [cm]"']): + has_polarization = False + labels = ("Ei", "NuLambda", "Pol", "Em", "Phi", "PsiChi", "SigmaTau", "Dist") + else: + raise InputError("Unknown response format") #check if the type of spectrum is known assert norm=="powerlaw" or norm=="Mono" or norm=="Linear" or norm=="Gaussian",f"unknown normalisation ! {norm}" @@ -506,7 +519,7 @@ def _open_rsp(cls, filename, Spectrumfile=None,norm="Linear" ,single_pixel = Fal pass # create a .h5 file with the good structure - filename = filename.replace(".rsp.gz","_nside{0}.area.h5".format(nside)) + filename = Path(str(filename).replace(".rsp.gz","_nside{0}.area.h5".format(nside))) f = h5.File(filename, mode='w') drm = f.create_group('DRM') @@ -514,47 +527,9 @@ def _open_rsp(cls, filename, Spectrumfile=None,norm="Linear" ,single_pixel = Fal # Header drm.attrs['UNIT'] = 'cm2' - #sparse - if sparse : - drm.attrs['SPARSE'] = True - - # Axes - axes = drm.create_group('AXES', track_order=True) - - for axis in dr.axes[['NuLambda', 'Ei', 'Em', 'Phi', 'PsiChi','SigmaTau','Dist']]: - - axis_dataset = axes.create_dataset(axis.label, - data=axis.edges) - - - if axis.label in ['NuLambda', 'PsiChi','SigmaTau']: - - # HEALPix - axis_dataset.attrs['TYPE'] = 'healpix' - - axis_dataset.attrs['NSIDE'] = nside - - axis_dataset.attrs['SCHEME'] = 'ring' - - else: - - # 1D - axis_dataset.attrs['TYPE'] = axis.axis_scale - - if axis.label in ['Ei', 'Em']: - axis_dataset.attrs['UNIT'] = 'keV' - axis_dataset.attrs['TYPE'] = 'log' - elif axis.label in ['Phi']: - axis_dataset.attrs['UNIT'] = 'deg' - axis_dataset.attrs['TYPE'] = 'linear' - elif axis.label in ['Dist']: - axis_dataset.attrs['UNIT'] = 'cm' - axis_dataset.attrs['TYPE'] = 'linear' - else: - raise ValueError("Shouldn't happend") - - axis_description = {'Ei': "Initial simulated energy", + axis_description = {'Ei': "Initial simulated energy", 'NuLambda': "Location of the simulated source in the spacecraft coordinates", + 'Pol': "Polarization angle", 'Em': "Measured energy", 'Phi': "Compton angle", 'PsiChi': "Location in the Compton Data Space", @@ -562,60 +537,57 @@ def _open_rsp(cls, filename, Spectrumfile=None,norm="Linear" ,single_pixel = Fal 'Dist': "Distance from first interaction" } - axis_dataset.attrs['DESCRIPTION'] = axis_description[axis.label] - - #non sparse - else : - drm.attrs['SPARSE'] = False + #keep the same dimension order of the data + axes_to_write = ['NuLambda', 'Ei'] + + if has_polarization: + axes_to_write += ['Pol'] - # Axes - axes = drm.create_group('AXES', track_order=True) + axes_to_write += ['Em', 'Phi', 'PsiChi'] - #keep the same dimension order of the data - for axis in dr.axes[['NuLambda','Ei', 'Em', 'Phi', 'PsiChi']]:#'SigmaTau','Dist']]: + if sparse: + drm.attrs['SPARSE'] = True + + # singletos. Save space in dense + axes_to_write += ['SigmaTau', 'Dist'] + else: + drm.attrs['SPARSE'] = False + + axes = drm.create_group('AXES', track_order=True) - axis_dataset = axes.create_dataset(axis.label, - data=axis.edges) - + for axis in dr.axes[axes_to_write]: - if axis.label in ['NuLambda', 'PsiChi']:#,'SigmaTau']: + axis_dataset = axes.create_dataset(axis.label, + data=axis.edges) - # HEALPix - axis_dataset.attrs['TYPE'] = 'healpix' - axis_dataset.attrs['NSIDE'] = nside + if axis.label in ['NuLambda', 'PsiChi','SigmaTau']: - axis_dataset.attrs['SCHEME'] = 'ring' - - else: + # HEALPix + axis_dataset.attrs['TYPE'] = 'healpix' - # 1D - axis_dataset.attrs['TYPE'] = axis.axis_scale - - if axis.label in ['Ei', 'Em']: - axis_dataset.attrs['UNIT'] = 'keV' - axis_dataset.attrs['TYPE'] = 'log' - elif axis.label in ['Phi']: - axis_dataset.attrs['UNIT'] = 'deg' - axis_dataset.attrs['TYPE'] = 'linear' - #elif axis.label in ['Dist']: - # axis_dataset.attrs['UNIT'] = 'cm' - # axis_dataset.attrs['TYPE'] = 'linear' - else: - raise ValueError("Shouldn't happend") + axis_dataset.attrs['NSIDE'] = nside - axis_description = {'Ei': "Initial simulated energy", - 'NuLambda': "Location of the simulated source in the spacecraft coordinates", - 'Em': "Measured energy", - 'Phi': "Compton angle", - 'PsiChi': "Location in the Compton Data Space", - #'SigmaTau': "Electron recoil angle", - #'Dist': "Distance from first interaction" - } + axis_dataset.attrs['SCHEME'] = 'ring' + + else: - axis_dataset.attrs['DESCRIPTION'] = axis_description[axis.label] - + # 1D + axis_dataset.attrs['TYPE'] = axis.axis_scale + + if axis.label in ['Ei', 'Em']: + axis_dataset.attrs['UNIT'] = 'keV' + axis_dataset.attrs['TYPE'] = 'log' + elif axis.label in ['Phi', 'Pol']: + axis_dataset.attrs['UNIT'] = 'deg' + axis_dataset.attrs['TYPE'] = 'linear' + elif axis.label in ['Dist']: + axis_dataset.attrs['UNIT'] = 'cm' + axis_dataset.attrs['TYPE'] = 'linear' + else: + raise ValueError("Shouldn't happend") + axis_dataset.attrs['DESCRIPTION'] = axis_description[axis.label] #sparse matrice if sparse : diff --git a/cosipy/response/functions.py b/cosipy/response/functions.py index 6be38afc..770b06e6 100644 --- a/cosipy/response/functions.py +++ b/cosipy/response/functions.py @@ -35,6 +35,8 @@ def get_integrated_spectral_model(spectrum, energy_axis): over each energy bin, and returns the result as a Histogram object. """ + from cosipy.threeml import Band_Eflux + spectrum_unit = None for item in spectrum.parameters: @@ -53,6 +55,8 @@ def get_integrated_spectral_model(spectrum, energy_axis): spectrum_unit = u.dimensionless_unscaled elif isinstance(spectrum, Gaussian): spectrum_unit = spectrum.F.unit / spectrum.sigma.unit + elif isinstance(spectrum, Band_Eflux): + spectrum_unit = spectrum.K.unit / spectrum.a.unit else: try: spectrum_unit = spectrum.K.unit diff --git a/cosipy/test_data/polarization_data.hdf5 b/cosipy/test_data/polarization_data.hdf5 new file mode 100644 index 00000000..221ea7b9 Binary files /dev/null and b/cosipy/test_data/polarization_data.hdf5 differ diff --git a/cosipy/test_data/polarization_data.yaml b/cosipy/test_data/polarization_data.yaml new file mode 100644 index 00000000..8d54dd90 --- /dev/null +++ b/cosipy/test_data/polarization_data.yaml @@ -0,0 +1,14 @@ +#----------# +# Data I/O: + +data_file: "abc" # full path +ori_file: 'data3/ori.ori' +unbinned_output: 'hdf5' # 'fits' or 'hdf5' +time_bins: 1 # time bin size in seconds. Takes int or list of bin edges. +energy_bins: [10., 5000.] # Takes list. Needs to match response. +phi_pix_size: 1 # binning of Compton scattering angle [deg] +nside: 2 # healpix binning of psi chi local +scheme: 'ring' # healpix binning of psi chi local +tmin: 0. # Min time cut in seconds. +tmax: 13. # Max time cut in seconds. +#----------# diff --git a/cosipy/test_data/polarization_ori.ori b/cosipy/test_data/polarization_ori.ori new file mode 100644 index 00000000..7c882918 --- /dev/null +++ b/cosipy/test_data/polarization_ori.ori @@ -0,0 +1,4 @@ +Type OrientationsGalactic +OG 0.0 73.14907746670937 41.85821768724895 16.85092253329064 221.85821768724895 0.0 0.0 0.0 +OG 15.0 73.14907746670937 41.85821768724895 16.85092253329064 221.85821768724895 0.0 0.0 0.0 +EN \ No newline at end of file diff --git a/cosipy/test_data/test_polarization_response.h5 b/cosipy/test_data/test_polarization_response.h5 new file mode 100644 index 00000000..8c12a0bf Binary files /dev/null and b/cosipy/test_data/test_polarization_response.h5 differ diff --git a/cosipy/threeml/__init__.py b/cosipy/threeml/__init__.py index 2d37d2e7..e5bf2d12 100644 --- a/cosipy/threeml/__init__.py +++ b/cosipy/threeml/__init__.py @@ -1,2 +1,2 @@ from .COSILike import COSILike -from .custom_functions import Band_Eflux \ No newline at end of file +from .custom_functions import Band_Eflux diff --git a/cosipy/threeml/custom_functions.py b/cosipy/threeml/custom_functions.py index ed99f70b..51e282c0 100644 --- a/cosipy/threeml/custom_functions.py +++ b/cosipy/threeml/custom_functions.py @@ -24,7 +24,7 @@ class Band_Eflux(Function1D, metaclass=FunctionMeta): desc : Normalization (flux between a and b) initial value : 1.e-5 min : 1e-50 - is_normalization : True + is_normalization : False transformation : log10 E0 : desc : $\frac{xp}{2+\alpha}$ where xp is peak in the x * x * N (nuFnu if x is an energy) diff --git a/docs/tutorials/polarization/ASAD_method.ipynb b/docs/tutorials/polarization/ASAD_method.ipynb new file mode 100644 index 00000000..dc1340a1 --- /dev/null +++ b/docs/tutorials/polarization/ASAD_method.ipynb @@ -0,0 +1,951 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "4e111ad9-5599-451c-83a5-f89a79b0dd42", + "metadata": {}, + "source": [ + "# Polarization example (GRB) - azimuthal scattering angle distribution (ASAD) method" + ] + }, + { + "cell_type": "markdown", + "id": "f9b8addd-aaa4-488c-8041-385881689986", + "metadata": {}, + "source": [ + "This notebook fits the polarization fraction and angle of a GRB simulated using MEGAlib and combined with background. It's assumed that the start time, duration, localization, and spectrum of the GRB are already known. The GRB was simulated with 70% polarization at an angle of 110 degrees in the RelativeX convention, which corresponds to 83.015 degrees in the IAU convention.\n", + "\n", + "The data to run this notebook, including GRBs simulated on-axis, 10 degrees off-axis, and 20 degrees off-axis, can be found on the COSI Pipeline Google Drive: https://drive.google.com/drive/folders/1kCkqQv07APSSlexeuIgK2Jj7eqJzNNgQ. However, with the RelativeZ response, it is not possible to fit the on-axis GRB.\n", + "\n", + "Caveats/limitations:\n", + "- Currently, the source must be stationary with respect to the instrument, and the spacecraft must be stationary. The ability to fit the polarization of persistent sources will be added later. \n", + "- The background simulation is used as the background model, and its ASAD is subtracted from the source+background ASAD. " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "26c12d83-7afc-4000-8b8f-d353e0b08d12", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Welcome to JupyROOT 6.28/02\n" + ] + }, + { + "data": { + "text/html": [ + "
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+       "                  require the C/C++ interface (currently HAWC)                                                     \n",
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+       "                  software installed and configured?                                                               \n",
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+       "                  software installed and configured?                                                               \n",
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01:03:49 WARNING   No fermitools installed                                              lat_transient_builder.py:44\n",
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         WARNING   Env. variable OMP_NUM_THREADS is not set. Please set it to 1 for optimal         __init__.py:387\n",
+       "                  performances in 3ML                                                                              \n",
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+       "                  performances in 3ML                                                                              \n",
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         WARNING   Env. variable NUMEXPR_NUM_THREADS is not set. Please set it to 1 for optimal     __init__.py:387\n",
+       "                  performances in 3ML                                                                              \n",
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Please set it to \u001b[0m\u001b[1;37m1\u001b[0m\u001b[1;38;5;251m for optimal \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b]8;id=828668;file:///Users/eneights/opt/anaconda3/envs/cosipy-pr/lib/python3.10/site-packages/threeML/__init__.py\u001b\\\u001b[2m__init__.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=475847;file:///Users/eneights/opt/anaconda3/envs/cosipy-pr/lib/python3.10/site-packages/threeML/__init__.py#387\u001b\\\u001b[2m387\u001b[0m\u001b]8;;\u001b\\\n", + "\u001b[38;5;46m \u001b[0m \u001b[1;38;5;251mperformances in 3ML \u001b[0m\u001b[1;38;5;251m \u001b[0m\u001b[2m \u001b[0m\n" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from cosipy import UnBinnedData\n", + "from cosipy.spacecraftfile import SpacecraftFile\n", + "from cosipy.polarization.conventions import MEGAlibRelativeX, MEGAlibRelativeY, MEGAlibRelativeZ, IAUPolarizationConvention\n", + "from cosipy.polarization.polarization_asad import PolarizationASAD, calculate_uncertainties\n", + "from cosipy.threeml.custom_functions import Band_Eflux\n", + "from astropy.time import Time\n", + "import numpy as np\n", + "from astropy.coordinates import Angle, SkyCoord\n", + "from astropy import units as u\n", + "from scoords import SpacecraftFrame\n", + "from scipy.optimize import curve_fit" + ] + }, + { + "cell_type": "markdown", + "id": "ce33b697", + "metadata": {}, + "source": [ + "Read in the data (GRB+background), background simulation, and define the path to the detector response" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "ac0ad83d", + "metadata": {}, + "outputs": [], + "source": [ + "analysis = UnBinnedData('/path/to/yaml/file') # e.g. grb.yaml\n", + "\n", + "analysis.select_data(unbinned_data='/path/to/data/file', output_name='/path/to/selected/data/file') # e.g. GRB_20_0.hdf5 & GRB_20_0_selected.hdf5\n", + "data = analysis.get_dict_from_hdf5('/path/to/selected/data/file') # e.g. GRB_20_0_selected.hdf5\n", + "background = analysis.get_dict_from_hdf5('/path/to/background/file') # e.g. background.hdf5\n", + "\n", + "response_file = '/path/to/response/file' # e.g. HEALPixO3_200to500keV_1ebins_12pbins_log_flat.binnedpolarization.11D_nside8.area.h5" + ] + }, + { + "cell_type": "markdown", + "id": "2cc0300a", + "metadata": {}, + "source": [ + "Read in the orientation file. Here, the spacecraft is stationary, so we are only using the first attitude bin" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "ecb484f2", + "metadata": {}, + "outputs": [], + "source": [ + "sc_orientation = SpacecraftFile.parse_from_file('/path/to/ori/file') # e.g. ori.ori\n", + "sc_orientation = sc_orientation.source_interval(Time(analysis.tmin,format = 'unix'), Time(analysis.tmax,format = 'unix'))\n", + "\n", + "attitude = sc_orientation.get_attitude()[0]" + ] + }, + { + "cell_type": "markdown", + "id": "c6951d6c", + "metadata": {}, + "source": [ + "Define the GRB spectrum. This is convolved with the response to calculate the ASADs of an unpolarized and 100% polarized source" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "26cec39d", + "metadata": {}, + "outputs": [], + "source": [ + "a = 10. * u.keV\n", + "b = 5000. * u.keV\n", + "alpha = 0.880\n", + "beta = -2.384\n", + "ebreak = 195.613 * u.keV\n", + "K = 10. / u.cm / u.cm / u.s\n", + "\n", + "spectrum = Band_Eflux(a = a.value,\n", + " b = b.value,\n", + " alpha = alpha,\n", + " beta = beta,\n", + " E0 = ebreak.value,\n", + " K = K.value)\n", + "\n", + "spectrum.a.unit = a.unit\n", + "spectrum.b.unit = b.unit\n", + "spectrum.E0.unit = ebreak.unit\n", + "spectrum.K.unit = K.unit" + ] + }, + { + "cell_type": "markdown", + "id": "39c52ea7", + "metadata": {}, + "source": [ + "Define the source position and polarization object" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "41cbf55e", + "metadata": {}, + "outputs": [], + "source": [ + "source_direction = SkyCoord(0, 70, representation_type='spherical', frame=SpacecraftFrame(attitude=attitude), unit=u.deg)\n", + "\n", + "grb_polarization = PolarizationASAD(source_direction, spectrum, response_file, sc_orientation)" + ] + }, + { + "cell_type": "markdown", + "id": "eb4a7306", + "metadata": {}, + "source": [ + "Calculate the azimuthal scattering angle for each photon in the data and background simulation" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "26df3de8", + "metadata": {}, + "outputs": [], + "source": [ + "azimuthal_angles = {}\n", + " \n", + "azimuthal_angles['grb & background'] = grb_polarization.calculate_azimuthal_scattering_angles(data)\n", + "azimuthal_angles['background'] = grb_polarization.calculate_azimuthal_scattering_angles(background)" + ] + }, + { + "cell_type": "markdown", + "id": "b3417867", + "metadata": {}, + "source": [ + "Create an azimuthal scattering angle distribution (ASAD) each for the data and background simulation" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "641b46c1", + "metadata": {}, + "outputs": [], + "source": [ + "bin_edges = Angle(np.linspace(-np.pi, np.pi, 18), unit=u.rad) # Define ASAD bins\n", + "\n", + "asads = {}\n", + "for key in azimuthal_angles.keys():\n", + " asads[key] = grb_polarization.create_asad(azimuthal_angles[key], bin_edges)" + ] + }, + { + "cell_type": "markdown", + "id": "52e46d5e", + "metadata": {}, + "source": [ + "Calculate the ASAD of the GRB only by subtracting the background ASAD from the GRB+background ASAD" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "6ff34198", + "metadata": {}, + "outputs": [], + "source": [ + "source_duration = analysis.tmax - analysis.tmin # Duration of GRB simulation\n", + "background_duration = np.max(background['TimeTags']) - np.min(background['TimeTags']) # Duration of background simulation\n", + "\n", + "background_asad_grb_duration = (asads['background']['counts'] * source_duration / background_duration).astype(int)\n", + "grb_asad = asads['grb & background']['counts'] - background_asad_grb_duration\n", + "\n", + "asads['grb'] = {'counts': grb_asad, 'uncertainties': calculate_uncertainties(grb_asad)}" + ] + }, + { + "cell_type": "markdown", + "id": "e3cda8c6", + "metadata": {}, + "source": [ + "Calculate the unpolarized and 100% polarized ASADs, and calculate the modulation of a 100% polarized source" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "4cddef85", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Polarization angle bin: 0.0 deg to 15.0 deg\n", + "Modulation: 0.309 +/- 0.003\n", + "Best fit polarization fraction: 1.0 +/- 0.016\n", + "Best fit polarization angle: 160.234 +/- 0.3\n" + ] + }, + { + "data": { + "image/png": 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uXMjy/ADGTnYlS5ZM83Fv3bpFeHi4SYJSvHjxdD8Y0toeEhICPOmglxbjHBvG+RJKly6dbv3MMB57586d7Ny5M8NjG58bb29vs/VKlCjxzDFlxM3NjeDgYCIiItR+ACkZYzS+Nsb/0+o8aSzPqO8GQGxsLMOHD6dXr1706dOHnTt3EhAQwIoVK+jZsydg6Jz94Ycfcu3aNbNJnDnly5fPcJ6azLwvgXTn0wA4fPgw7dq1IykpCT8/P3r06EGRIkWwsrLi1KlT/Pnnn2Y7gmf0/k5LcnIy/fr1IyAggJkzZ9KvXz+T7cb34JUrV9JNblPOMZPe+9DGxsYkkciMRYsWoShKqgkGbWxsePXVV5k9ezb+/v689dZbqfZ1d3enX79+6nlFR0fzxRdfMH36dCZOnEiPHj1M4ly4cCFAqmPVqVOHRo0aceLECY4fP07jxo2zdA5gGPoMUKxYsSzvK3KHjOIRZrVq1QowjHrICuMXWlBQkNntxh7yT3eMzOjDO63txsc5ffo0iuGSpdl/gwcPBp58kebExEzGY8+dOzfdYxtHuBjrG0cJPS2t5ywnVa9eHXjSspTS/fv3iY6OpkyZMmonTGdnZ0qXLk1UVJTZ0Q1XrlwBDK1jGfnggw8ICQnh+++/B560LKXswNyoUSMAzp8/n5XTylB235dPmz59OrGxsezYsYOtW7cyZ84cPv30Uz7++ON0O2hm91f5xIkT2bJlCyNHjjQ7R4cx3p49e6b7Hrxx40aqfcy9D5OSkggODs50fClH6rz33nupRhsZR2hl9APCyNnZmc8++4xWrVoRHx/PwYMH1W1nzpzh6NGjADRv3jzVsU6cOAE8SWKyavfu3QDZ7mgrcp4kKMKsoUOHYmtry/r16zP8skj5i9E4sZK5abuvXr3KnTt3qFixYqZ+cWdGs2bNAMOlg8xo0qQJVlZW7Nu3j+jo6AzrG5u7k5OTn/nYrq6uVKlShbt375qdUC0vpjo3XuIwNzTceEnm6csg2dnnaUePHmXOnDnMnTs31S/3lO+fpy+X5JT03pfh4eGcOnUKBwcHatasme7jXL16FU9PT7MjbHJ6FNbs2bNZsGABHTt25IcffjBbp0aNGri7u3P48GESExMz9bjGhNBcvAcOHDD7Xk/Ln3/+ycOHD6levTrDhw83+69SpUpcvnw5S8+Pq6sr8OSyCzxJPHx9fdM8lqOjI7/99luWZyX+559/OHjwII6OjmprnrAAedfdReQ3xhEnFSpUUI4dO2a2ztatW5W2bduq940jBCpUqKA8fPhQLU9KSlJefPFFBVCmT59u8hgZTQyV3vbg4GDF3d1dKVasmHLkyJFU25OTk1N1PhwwYECmR/G8/fbbCqD8888/Zo/v4+OjWFlZKUuWLDG7/cyZMyaTkxmf0969e2syiuf69eu5PlHb0+Lj45VatWop3bp1MynfuXOnAiiffPKJWmac0M1cJ+KnpTeKx1xdW1tbxc3NTbly5YrJtgkTJiiAMmLECJNyc51kO3XqpADK6dOnTcoXL16sdvRctmyZybaM3t/mOsmuX79esbKyUurWrZthp+EPPvhAfT8/PYJIUQyTnqUc4XbgwIEcG8XToUMHBVBWr16dZh3jczNgwAC17Msvv1T+++8/s/X379+vODg4KDY2Nsrdu3cVRVGUmJgYxd3dXbG2tlbLzHnttdcUQFm4cKFaltFEbevXr1cnavvyyy8zOmWRhyRBEen65JNPFCsrKwVQWrRooUyaNEmZNm2aMnz4cKVq1aoKoDRu3Nhkn6lTp6pDT8eNG6e8/fbbSp06dRRAadWqlRIfH29S/1kSFEVRlL///ltxdXVVdDqd0r59e2Xy5MnKlClTlN69eyulSpVS7O3tTeqHhoYq9erVUwClRo0ayuTJk5W3335b6dOnj+Lq6mryRbFt2zb1w3zq1KnKZ599psyfP1/dfvv2bfV5qF+/vjJq1Chl6tSpyoABA9Rz/vfff9X6cXFxyvPPP6/Wnzp1qjJq1CjF3d1d6dGjR5YTlEWLFimDBw9WBg8erLRs2VIBlHr16qll5mbGnDdvngIoXl5eyrhx45QpU6YoZcqUUQDlzTffNHucN954QwGUMmXKKFOmTFHGjRuneHl5KYDJ82HO//73P8XNzU25c+eOSbler1caNWqkWFtbK8OGDVNefvllBTAZcZKerCQoiqIo33//vTq0dfjw4cq7776rNG/eXH0fpPyyVhTzCcrWrVtNHuONN95QWrdurVhZWanDqXMiQXF0dFT4/5lWjSOUUv5LeYyEhAT1vVO6dGll4MCByrvvvqsMGzZMTaCffh9MnDhRAZSSJUsqEydOVN544w2lcuXKSuPGjZWSJUtm6jm9fv26otPplKJFi6b6m04pMjJScXFxUezt7dXnuH79+urzPmTIEOW9995TJk2apPj5+Sk6nU4BlNmzZ6uPYUy+X3jhhXRj2rNnT6rPJOPz26ZNG/X5mzp1qvLaa68pFStWVADF3t5emTVrVobnLPKWJCgiQ+fPn1cmTJig1K5dW3F1dVVsbW2VEiVKKJ07d1YWL15sMjTT6LffflNatmypfjDVqlVLmT59usnQQKNnTVAUxfBlNX78eKVKlSqKvb294urqqlSvXl157bXXlN9//z1V/aioKGX69OlK3bp1FUdHR8XFxUWpWbOmMnnyZJMWD0UxDB+tUaOGYmdnZ/YL8fHjx8qMGTOU5557TnF2dlYcHByUChUqKF27dlV++umnVMOZIyIilNdff11NnqpXr658/fXXyrVr17KcoBiHQaf1r02bNmb327hxo9K6dWvFxcVFcXJyUho3bqz4+/une6xly5YpjRs3VpycnBQXFxeldevWyqZNm9LdJyAgQLGxsUlzPp3bt28rL774ouLs7Ky4ubkpgwcPzvIw46wMid2+fbvSoUMHxd3dXbGzs1MqV66svP3220pYWFiqumkNM960aZPStGlTxcXFRXFzc1M6dOig7N27V/0SzYkEJb3X1NzrqtfrlZ9//llp166d4uHhodja2iqlSpVSWrZsqcyYMUO5detWqvrz589X39clS5ZUxo0bp4SHh2d6qvtp06YpgPL6669nWHfkyJEKoHzzzTeKoijKyZMnlc8++0xp27atUqFCBcXBwUGxt7dXKlWqpAwYMEDZv3+/yf4tWrRQAOXPP//M8FjVqlVTACUgIEBRlCfPr/GfTqdTXFxclHLlyildunRRvvjii1TJs7AMOkVJcZFPCCGEEMICSCdZIYQQQlgcSVCEEEIIYXEkQRFCCCGExZEERQghhBAWRxIUIYQQQlgcSVCEEEIIYXHyZYISFxfHpUuXcm1abCGEEEJoK18mKIGBgYwcOZLAwECtQxFCCCFELsiXCYoQQgghCjZJUIQQQghhcSRBEUIIIYTFkQRFCCGEEBZHEhQhhBBCWBxJUIQQQghhcSRBEUIIIYTFkQRFCCGEEBZHEhQhhBBCWBxJUIQQQghhcSRBEUIIIYTFkQRFCCGEEBZHEhQhhBBCWBxJUIQQQghhcSRBEUIIIYTFkQRFCCGEEBZHEhRRaMSExXFi3RViwuK0DkUIIUQGJEERhUZMeDwBG64SEx6vdShCCCEyIAmKEEIIISyOJChCCCGEsDiSoAghhBDC4kiCIoQQQgiLIwmKEEIIISyOJChCCCGEsDg2Wd0hJiaGVatWcf78eS5cuEBkZCTvvfceXbp0yfRjHD9+nBUrVnD58mX0ej1ly5alf//++Pn5ZTUcIYQQQhRAWU5QIiIi8Pf3x9vbmypVqhAQEJCl/bds2cKsWbNo3LgxI0eOxNramlu3bvHw4cOshiKEEEKIAirLCYqXlxe///47Xl5eXLx4kVGjRmV63/v37/Ptt9/Sq1cvJk+enNVDCyGEEKKQyHIfFDs7O7y8vLJ1sD///BO9Xs/w4cMBw+UiRVGy9VhCCCGEKLiy3ILyLE6cOEG5cuU4fPgwCxYs4NGjR7i6utKzZ0+GDRuGlZX02RVCCCFEHicod+7cwcrKii+++IL+/ftTuXJl9u3bx88//0xycjKjR482u19wcDAhISHq/cDAwLwKWQghhBAayNMEJTY2Fr1ez+jRo3n11VcB8PX1JTIyknXr1jFw4ECcnJxS7bdx40b8/f3zMlQhhBDpiAmL48Ku29T0K4uTh4PW4YgCKE8TFHt7e2JjY2nfvr1JuZ+fH0eOHOHy5cs0aNAg1X49evSgZcuW6v3AwECmT5+e2+EKIYRIg3F18PKNikuCInJFniYoXl5e3LlzBw8PD5Ny4/3IyEiz+xUtWpSiRYvmenxCCCGEsAx52iu1evXqgKFPSUrG++7u7nkZjhBCCCEsVK4lKMHBwQQGBpKUlKSWtWvXDoDNmzerZXq9nq1bt1KkSBE1gRFCCCFE4ZatSzzr168nKipKHVlz8OBBdSbY3r174+LiwsKFC9m2bRurV6+mZMmSALRq1YpGjRrxyy+/EB4eTpUqVdi/fz9nzpzhrbfews7OLodOSwghhBD5WbYSlNWrVxMUFKTe37dvH/v27QOgY8eOuLi4mN1Pp9MxY8YMFi9ezD///MO2bdsoW7Ys77//Ph07dsxOKEIIIYQogLKVoKxZsybDOtOmTWPatGmpyp2cnJg0aRKTJk3KzqGFEEIIUQjI1K1CCCGEsDiSoAghhBDC4kiCIoQQQgiLIwmKEEIIISyOJChCCCGEsDiSoAghhBDC4kiCIoQQQgiLIwmKEEIIixYTFseJdVeICYvTOhSRhyRBEUIIYdFiwuMJ2HCVmPB4rUMReUgSFCGEEEJYHElQhBBCCGFxJEERQgghhMWRBEUIIYQQFkcSFCGEEEJYHElQhBBCCGFxJEERQgghhMWRBEUIIYQQFkcSFCGEEEJYHElQhBBCCGFxJEERQgghhMWRBEUIIYQQFkcSFCGEEEJYHElQhBBCCGFxJEERQgghhMWRBEUIIYQQFkcSFCGEEEJYHElQhBBCCGFxJEERIhfEhMVxYt0VYsLitA5FCCHyJUlQhMgFMeHxBGy4Skx4vNahCCFEviQJihBCCCEsjiQoQgghhLA4kqAIIYQQwuJIgiKEEEIIiyMJihBCCCEsjiQoQgghhLA4kqAIIYQQwuJIgiI0J5OaCSGEeJokKEJzMqmZEEKIp0mCIoQQQgiLIwmKEEIIISyOJChCCCGEsDiSoAghhBDC4kiCIoQQQgiLIwmKEEIIISyOJChCCCGEsDhZTlBiYmJYunQpb731Ft26daN169Zs3bo1Wwf/8ssvad26Ne+880629hdCCCFEwZTlBCUiIgJ/f38CAwOpUqVKtg988eJFtm7dip2dXbYfQwghhBAFU5YTFC8vL37//XfWrl3L2LFjs3VQRVGYO3cunTp1wtPTM1uPIYQQQoiCK8sJip2dHV5eXs900O3bt3Pjxg1Gjhz5TI8jhBBCiIIpzzvJxsTE8OOPP/Laa689c6IjhBBCiILJJq8P6O/vj729PS+//HKm9wkODiYkJES9HxgYmBuhCSGEKMRiwuK4sOs2Nf3K4uThoHU4hV6eJii3b99m3bp1fPjhh1nqHLtx40b8/f1zLzAhhBCFnnFl9fKNikuCYgHyNEGZN28ederUwdfXN0v79ejRg5YtW6r3AwMDmT59eg5HJ4QQQghLkWcJyokTJzhy5AjTp0/n/v37anlycjLx8fHcv3+fIkWK4OzsnGrfokWLUrRo0bwKVQghhBAay7ME5eHDhwC8//77qbY9evSIfv36MWHChCz1TRFCCCFEwZRrCUpwcDDR0dGULl0aGxsbnnvuOWbMmJGq3ldffUWJEiUYOHAglSpVyq1whBBCCJGPZCtBWb9+PVFRUerImoMHD6otJL1798bFxYWFCxeybds2Vq9eTcmSJfH29sbb2zvVY82fPx8PDw98fHye4TSEEEIIUZBkK0FZvXo1QUFB6v19+/axb98+ADp27IiLi0vORCeEEEKIQilbCcqaNWsyrDNt2jSmTZuWI48lhBBCiMIlz2eSFUIIIYTIiCQoQgghhLA4kqAIIYQQwuJIgiKEEEIIiyMJihBCFCAxYXGcWHeFmLA4rUMR4plIgiKEEAWIccG7mPB4rUMR4plIgiKEEEIIiyMJihBCCCEsjiQoQgghhLA4kqCIQkGvV3h0PQKAR9cj0OsVjSMSQgiRnlxbzVgIS3HjaBCHf75AdKhhVMPBJec49fs1mg2qScUmJTSOTgghhDnSgiIKtBtHg9g1J0BNToyiQ+PYNSeAG0eD0thTCCGEliRBEQWWXq9w+OcL6dY5vOKCXO4RQggLJAmKKLCCLoamajl5WnRIHEEXQ/MoIiGEEJklfVBEgRX71ERVSSQRavuIMJtHJOuSsFKscU/yIiK0JqXw0ihKIQoPRVEIjQ3leth1IuIj0Ct6vBy9KO9enqJORc3u83QHd8/yRbCy0uVl2EIjkqCIAsvR3Z4wm2COFNnNf04nuO54kUSrhFT1PvnHhqaXm9KpcicG1h9IBfcKeR+sEAVUkj6JrVe2suHiBv6+/jd3Ht8xW6+8W3l8K/jycu2X6Vi5IzZWNtLBvZCTBEUUSGcenOHjs5/wR6U/UHT6dOsmKUkcvH2Qg7cP8tGej+hcpTMf+35Mk9JN8ihaIQqemMQYvj/6PXOOzOFe5L0M6wdGBLL89HKWn15OKddSDC09ilIb62On2JvUM3Zw95vSUJKUAk4SFFGgBMcE8+aON/n59M+GghQtwV4J3lSIr4pXYnHs9PYkWiVgUyuRywkXuBJ6BQAFha1Xt7L16lZ61ezFvM7zKF2ktAZnIkT+pCgKq/5bxRs73iAoynSUnKONI03LNKWaZzWKORdDh44H0Q+4FHKJo3ePEpdkaCm5F3mPGRc/xq2SJ/0ejqJxpA86TC/rHF5xgfKNveVyTwEmCYooMH6/8DsjN40kJDZELSvpUpI+JfpT8UhDXIOf9DNx9nKg2atPmokDwwP59eyvLDyxkMCIQAA2XDA0Sc/pNIehDYfm7ckIkQ89jH7IsD+HsfnKZrVMh44e1Xsw4rkRtK/UHgcbB7P7xifFs/3adpYELGHjpY0ARNiEsrDUFxyJ2s3goCm4Jrup9Y0d3EvVkv5jBZWM4hH5XmJyIm/teItea3qpyYm7gzvfdvqWa5OuMe/V2Uye8yoth9cGoOXw2vSb62vSPFzevTzTfKZxZeIVfur+E97O3gA8jn/MsI3DGPrnUGISY/L83ITIL47cOUKjhY1MkpMe1XtwZuwZ/njlD7pX655mcgJgb2NPj+o9+POVP9nc7G/qRT25xHra5Qiflp/AVYfzJvs83RFeFCySoIh87XH8Yzr/2pnZ/85Wy3rX7M2F8ReY0mwKjraOAFhZ6ShWyfDrq1gltzSbhW2tbRnVaBTnx59nSIMharn/KX/aLW9HSEyI2f2EKEyeHlmz/NTPtPZvrXaA9Xb2ZsPLG/jzlT+pU7xOlh+/QdkGTLj7EWPv/g/XJMPfbbhtCLPLvstxl/1qPUd3+7QeQhQAkqCIfOth9EPaLm/LPzf+AcDWypb5Xeaztu9aSrg8W+c5T0dPlr24jF97/YqTrRMAR+4eodWyVtyKuPXMsQuRX904GsTqSXs4uOQcAJ+u/5whfw4mIdkwQs6nnA8BowPoWbNnto9RooYnLp6OPBfVkg9vfke1mLoAJFklsbDUF/zt/gfOXg6UqOH57CckLJYkKCJfehD1gNbLWnPy/knAkFDsGbKHCU0moNPlXKe5AXUHcGjYITXhuRh8kVZLWxEYHphjxxAiv3h66YjNnqtY5f2Tuv3VcoPZNWgXJV1LPtNxrKx0NBtUEwD3ZC9evz2DlhEdAFB0Cqu9F/Jfq73SQbaAkwRF5DthsWF0/KUjl0IuAVDatTT7h+6nRdkWuXK8+iXqc2jYIap6VgXg9uPbtF/RnvuR93PleEJYoqeXjtjl/id/FPtZvd89uD9dTw7CWpczYy8qNimB35SGOHs6YIMNg4Om0D24v7r984uf8MOxH3LkWMIySYIi8pXohGi6/9adMw/OAFC2SFkODDtArWK1cvW4FT0qsn/ofqp5VQPgauhVOqzoQHhceK4eVwhLkXLpiMOuu01aTvo8HMaLIQOJCYnP0aUjKjYpQb95vrQcXhsdOr586Qs+afOJun38lvH8dva3HDuesCySoIh8Q6/oGfzHYA7dPgRAcefi/D3o7zyb+dXbxZu/B/5NebfyAJx7dI5+6/qRpE/Kk+MLoSXjiJlLjmfwL/mNWt4t+BU6hfVJVS+nPN3B/YM2H/Beq/fU7UP/HMq/t//N0WMKyyAJisg3Pt37KesvrAegiH0Rdry2Q23RyCtl3cqya9Audd2QHdd28Mb2N/I0BiG04OhuT7DNA34s9TnJumQA2oR35cWQganq5SadTseMdjMY0XAEAPHJ8by0+iVuht/M1eOKvCcJisgX1p9fzyd7DU27OnT81vs36peor0kslT0rs+HlDdha2QIw/+h8Fp9crEksQuQVl0p2LCj/GVE2jwGoHd2IAQ/Gmszwmlcja3Q6HT90+4F2FdsBhhF9vVb3UmeiFQWDJCjC4t0Iu8GwjcPU+192+JKuVbtqGBH4lPdh4QsL1fsTt05U+8XkpZiwOE6su0JMmHwwi9w1efskbtlcB6B4QilG3puKFdYmdZoNrJlnI2tsrW1Z13ed2nk9ICiA17e9nifHFnlDEhRh0RKTE3ll/Ss8jjf8autfpz9vNn9T46gMhjQYwrjG4wCIS4rj5bUvE5UQlacxxITHE7DhKjEyo6bIRSvPrsT/lD8AztbOvB31Oc56V3W7s5eDJov3eTh6sP7l9TjaGCZk/PHEj6w8uzJPYxC5RxIUYdHe/+d9jt49CkBlj8r82P3HHJ3n5FnN7jSbBiUaAHAp5BITtkzQNiAhctj1sOuM+WuMev/HHj/yxreD0l06Ii/V9a7L912/V++P/mu09EcpICRBERbrnxv/8OWhLwHDLLGr+qyiiH0RjaMy5WDjwNq+a3G1M/yaXH56OX9c+NNkGnC9XtEyRCGyLUmfxID1A4hMiARgYL2BvFbvtUwvHZFXhjYcyqD6gwCISohi6J9D0St6TWMSz04SFGGRohKiGLFxhHp/pt9MGpdqrGFEaaviWYV5Xeap94esGsr2ZYZhjweXnGP1pD3cOBqU1u5CWKzZh2Zz5O4RwNCCmbKlwtLM7zKfcm7lANhzcw/fHf1O44jEs5IERVik/+36HzfCbwDQpnwbXm9u2Z3fBtcfTLtihqm4I6zC+M17gbotOjSOXXMCJEkR+cql4Et8tOcjAKx0VvzS6xdc7V0z2Es7ReyLsOzFZer9d/5+h0vBlzSMSDwrSVCExTlw6wDzj84HwNHGkcU9FmOls+y3qqJA74sjcUp2AeBokb0EuBwyqXN4xQW53CPyBb2iZ8SmEcQnGzpfT2k6hWZlmmkcVcbaVWzHxCYTAUPH9RGbRsilnnzMsj/1RaETnxTP8I3DUTB8kc9oN4MqnlU0jipjQRdDsQt2of+DsWrZb8V/JE4Xq96PDonL0WnAhcgtC44t4MCtAwBU8qjEZ+0+0ziizPui/RdU9qgMGH7sLD+1XOOIRHZJgiIsyteHvuZyyGUAmpVpxqSmkzSOKHOM03s3jfSldnQjAMJsg/mr6Eqz9YSwVEFRQby368lU8otfWIyTrZOGEWWNk60TP3R7sojg2zvfJiQmRMOIRHZJgiIsxu2oW8zYPwMAa501C7svxNrKOoO9LINxem8dOgY8GIuN3jDL7N8ef3DX7maqekJYqnf/flcdtTOswTDaVmyrcURZ17FyR16p8woAIbEhvPP3OxpHJLJDEhRhMT44/j9ikwyXRCY2mUhd77oaR5R5JWp44uzpAEDxxFJ0CX0ZgGRdMr94f4+CkmfTgAuRXYduH2L5acMlEXcHd75o/4XGEWXfNx2/UaclWBKwhIO3DmockcgqSVCERTjndJLNtzYB4O3szce+H2sbUBZZWeloNqimer9LaF+KJ5QC4KrTOY657svTacCFyKpkfbLJRIPT206nmHMxDSN6NiVdS/J5u8/V+1O2T5EOs/mMJChCc0n6JFYV/0m9/2WHL3FzcNMwouyp2KQEflMa4uzpgK1ixysPR6vbtlT+lZLPuWsXnBAZWHxyMQFBAQDU967P6MajM9jD8o1pPIa6xQ0tscfvHZdp8PMZSVCEWXm1CJ1er/DT4UUE2d8GoHmZ5gysNzCDvSxXxSYl6DfPl5bDa1MnujEt3H0AuBt7h3lH5mWwtxDaiEqIUuc8Afiu63fYWNloGFHOsLayZnbH2er993a9R0xijIYRiayQBEWYlReL0N04GsTySVv55uKXalmnswO4eexBrh0zLxinAdehY6bPF+ocLjP2z+BR9CONoxMitdmHZvMg2vB316dWH1qVa6VxRDmnQ+UOdKvaDYA7j+/w9aGvNY5IZJYkKEITN44GsWtOAL/rVvLYJgyA5yJbUvph5QI162otj9oMazAMgMfxj/lk7ycaRySEqQdRD/jq0FcA2FjZmPTbKCi+7vi12iI06+As7kfe1zgikRmSoIg8p9crHP75AhHWoezwXA+AtWJNr0dD1DoFadbVz9p9hrOtMwA/Hv9Rpt8WFuWTvZ8QnRgNwOhGo6nqVVXjiHJejaI1GNPIsCJzTGIMn+8veElYQZTlBCUmJoalS5fy1ltv0a1bN1q3bs3WrVszte+JEyf44osvGDBgAB06dKBfv37MmjWL4ODgLAcu8q+gi6FEh8axseivxFsZ+ri0Du+Kd2JptU5BmnW1hEsJ3mlpmIchWUk2udYvhJYuBV9i4YmFALjYufBhmw81jij3vN/6ffWHwk8nfuJm+E1tAxIZynKCEhERgb+/P4GBgVSpkrUpyH/88UcCAgLw8fFh8uTJ+Pn5sXv3bkaMGEFIiMz0V1jEhsfz0PY+B9y2A+CQ7Ej3kP5m6xUUrzd/nWJOhiGbq8+t5syDMxpHJAR8sPsDkpVkAN5u8TbFnYtrHFHu8XbxZnLTyQAk6hP5dO+nGkckMpLlBMXLy4vff/+dtWvXMnbs2Ix3SGH8+PH89ttvjB07lu7duzNq1Ci++OILQkND2bBhQ1ZDEfmUo7s9m71+Q68zzEnQIawXRZLdzdYrKFzsXHiv1ZPpw6UVRWjt7IOzrD2/FjDMPfRG8zc0jij3vdXiLdwd3AFYfno5F4MvahuQSFeWExQ7Ozu8vLyydbAGDRpgZWWVqqxIkSIEBgZm6zFF/hNZLIR/i/wDgFOyC+3DXkpVpyDOujqm8RhKuRomb/vj4h8cv3dc44hEYZayw/a7rd7Fxc5Fw2jyhoejB1NbTAUMKzZ/uLvgXtIqCDTvJBsTE0NsbCxubvlvYi6RPTMOTEf5/9aTjqG9cNI7p6pTEGdddbR15H8+/1Pvf7D7Aw2jEYXZmQdnWH/B0EG9hEsJRjfK/5OyZdakppPUS1lrz6/lVNApbQMSadI8QVm7di2JiYm0a9cuzTrBwcFcunRJ/SetLfnXpeBL/Hr2VwDcbT14QfeyyXZnLwf8pjSkYpMSWoSX64Y3HE55t/IAbLu6TdYHEZpI2f/inZbv4GjrqGE0ecvZztnkh4JxgVJheTSdKvDUqVP4+/vTtm1bGjVqlGa9jRs34u/vn3eBiVzz6b5P1fUw3mk9lSEtunJp920OLjlHy+G1qd62bIFrOUnJ3saeD1p/wIhNIwD4bN9nbHttm8ZRicKkMLeeGI18biSf7/+cB9EPWH9+PecfnadWsVpahyWeolkLSmBgIO+//z6VKlXinXfSXwq7R48eLFq0SP33/vvv51GUIiddDrnMb2d/A6CoU1EmNJmgzroKUKySW4FOTowG1R9EBfcKAGy/tp0T905oG5AoVFK2nrzb8t1C1Xpi5GjryNst3gZAQWHmgZkaRyTM0SRBefDgAW+++SbOzs7MmjULJyendOsXLVqU6tWrq//Kly+fR5GKnDTrwCwUDJOvvd3i7ULRKc8cW2tbtaMeIB+OIs883XoyqtEojSPSzujGo/FyNAz4WHl2JddCr2kckXhanicoERERvPnmmyQmJvL1119TtGjRvA5BaODO4zusOLMCAHcHd8Y0HqNxRNoa2nAoJVwM/Ww2XNjAhUcXNI5IFAazDs5Sbxe2vidPc7Fz4fVmrwOGET1fHPhC44jE03ItQQkODiYwMJCkpCS1LDY2lqlTpxIcHMyXX35J2bJlc+vwwsLMPjSbRH0iAOOfH08R+yIaR6QtBxsH3mz+JmBoYv7ioHw4itx1I+wGq/9bDRgusRbm1hOjCU0m4GZvuMS8/PRyTp8/D8Cj6xEFZqmN/CxbCcr69etZvnw5W7ZsAeDgwYMsX76c5cuXExUVBcDChQsZOHAgjx49Wb31s88+48KFC/j6+hIYGMiOHTvUf/v378+B0xGWKDgmmIUnDdNpO9o4qrM5FnZjGo/Bw8EDgF/P/CpTb4tcNfvf2eqssZOaTMLJNv1L64WBm4MbE5tMBAyzy87YaVij5+CSc6yetKfALFqaX2VrFM/q1asJCnrywu3bt499+/YB0LFjR1xczPctuHr1KgBbtmxRkxujEiVK4OPjk51whIWbf2Q+MYkxAIx4bgTFnItpHJFlcLFzYXLTyXy892OSlWS+PPglP3T7QeuwRAH0KPoRSwOWAuBs68z4JuM1jshy9LTrz1f6r4m3iuOA2w5eCHkV12Q3okPj2DUnoEBPe2DpspWgrFmzJsM606ZNY9q0aVneTxQskfGRzD86HzAs5W68rCEMJjadyNf/fk1UQhRLA5byUZuP8Hbx1josUcDMPzqf2KRYwDDE1tOxYM3SnF16vcKlVQ9obd2FnZ6/k2iVwG73v+gR8qpa5/CKC5Rv7F0oRhhaGs0nahMF26KTiwiLCwNgQN0BlHeXEVgpeTp6qsvAxyfH88MxaUEROSsqIYrvjn4HGH4kFIY1dzLLuLK6X9iLWCmGr8Pd7ptI0D1ZqLQgraye30iCInJNYnIi3x7+Vr3/Tsv057sprCY3m4yNlaEx84fjPxCbGKtxRKIgWXxysfoj4dW6r1LWTQYnGBlXTPdKKk7jyNYARNk85t8iu8zWE3lLEhSRa9ZfWM+dx3cA6F6tu8zUmIYyRcrwcm3DlP/BMcHqcGwhnlViciLf/PuNen9qy6np1C58Uq6Y3jG0l3p7h+cG9OjN1hN5RxIUkSsURTFpPXmjmTQrpyfl8/PNv9+oywEI8Sw2XNjA7ce3AfmRYE6JGp44ezoAUD6+CjWi6wPw0O4ep10OAwVzZfX8QhIUkSv+vfMvR+8eBaC+d318K/hqG5CFa1SqEW3KtwHgUsgltl7ZqnFEoiCYc2SOelt+JKRmZaWj2aCa6v2OYSlaUTw2AAVzZfX8QhIUkStSNiu/3ux1dDr5A89Iys6Ls/+drWEkIr/S6xUeXY8A4O9Tuzl8x9AKUM+7nvxISEPFJiXwm9IQZ08H6kQ3pmR8OQCuOp3HY3CyDDHWkCQoIsfdCLvB7xd/BwzrfbxS5xWNI8ofulfrTlXPqgDsvrmbgPsBGkck8pMbR4NYPWkPB5ecA+CbA08usU5pOkV+JKSjYpMS9JvnS6vhdeiUoi/K2shfNIxKSIIictz8o/PVPhTjnx+PvY10MMsMK52VujYIwDeHv0mnthBP3DgaxK45AUSHxgEQavOIE64HAHBNcqd5XFstw8sXjCurN4lsSzEHw2SS686v4+7juxpHVnhJgiJy1OP4xyw+uRgwrDdT2BcFzKrBDQark2it+m+VfDiKDOn1Cod/Nl1scrf7X+h1hh8JvuFdCVh5Q9aWySRbxZaBVQcDkKwk8+PxHzWOqPCSBEXkqCUnlxCZEAnAoHqDKOokq1VnhZOtE2MbjwUgSZ/EwhMLNY5IWDrjZGNG8bo49rkbOlnb6G1oE95VJhvLoiHVh6lzE/104ifikuIy2EPkBklQRI5J1ier09oDTGk2Rbtg8rExjcdgrbMGDB+OCckJGkckLNnTk4j967aLGGvDoq3PR/riluxptp5IW0mnUvSp1QeARzGP1FWgRd6SBEXkmG1Xt3Ej/AYAHSt3pGaxmhnsIcwpU6QMPWv2BOBB9APWn1+vcUTCkqWcREyPnl3uf6r324e9aLaeyJhxlWMw9KtTlJy9RBYTFseJdVeICZPWmbRIgiJyzPfHvldvj39eVkt9FhOen6De/u7YdxpGIixdysnGLjqdIsjeMHtztZg6lIuvDMhkY9nRvExzGpVsBMCJ+yf4986/Ofr4MeHxBGy4Soy0bKVJEhSRI66FXmPb1W0AlHcrT7eq3TSOKH9rXb41dYrXAeDQ7UOcvH9S44iEpUo52dhu981qebuwHuptmWws63Q6XapWFJG3JEEROWLB8QUoGJpAxzQeg7WVtcYR5W9PfzgaV6MVwpyKTUpQc3RxTrscAcA90Yv6Uc1w9nLAb0pDmWwsm/rV6UcxJxlyrBVJUMQzi0mMYWnAUgDsre0Z3nC4xhEVDK/WfRU3ezcAVp5dSUhMiMYRCUu2Nfl3lP8fWuwT0Zk2w+vTb66vJCfPwMHGgdGNRgOGUXUy5DhvSYIintmq/1apy7n3q9OPYs7FNI6oYHC2c2ZYw2EAxCfHsyRgicYRCUuVkJzAopOLALDR2dA6vDPFKrnJZZ0cMKbxGJMhx/FJ0mckr0iCIp6Joigmlx+kc2zOGvf8OPX2D8d+IFmfrGE0wlJtuLCBh9EPAeharjvuyV4aR1RwlC5Sml41DdPfP4p5pC7jIXKfJCjimRy+c5iAIMOaMY1LNaZJ6SYaR1SwVPGsQpcqXQAIjAhk85XNGewhCqOUI+iGVZdLrDltXOMnPxTkMk/ekQRFPBMZWpz7JjRJMeRYOsuKp5x5cIYDtwzr7tQqVosW3q00jqjgaV2+NTWK1gBgb+Bezj86r3FEhYMkKCLbHkY/ZO35tQB4OnrSr3Y/jSMqmDpX6Uwlj0oA7Ly+k2uh1zSOSFiSH479oN4e13icrFqcC3Q6HWMaPVlX7KfjP2kYTeEhCYrItsUnF6vTsA9vOBxHW0eNIyqYrHRWjHpulHrf2BlSiIi4CH458wsALnYuDKw/UOOICq5B9QfhaGP4jFt+ejkxiTEaR1TwSYIiskWv6NWF7HTo1AXuRO4Y2nAotla2ACwNWCrr8+QzuTWt+YozK4hOjAZgYL2BFLEvkqOPL57wcPTglTqvABARH8Gq/1ZpHFHBJwmKyJad13YSGBEIQKcqnajoUVHjiAq24s7F1fV5HsU84vcLMpIgP8mNac0VRTG9vJNixJfIHWMaP7nMI51lc58kKCJbFp5cqN5OeflB5B6Ta+An5Bp4YXfg1gEuBF8AwKecj7o0gsg9z5d6noYlGgJw7N4xTtw7oXFEBZskKCLLHkQ9YOOljQB4O3vTvVp3jSMqHHwr+FLNqxoAu2/u5lLwJY0jElpK2RfJONupyF06nenlbPmhkLskQRFZ5n/KnyR9EgBDGwzF1tpW44gKB51OZ9JaZewDJAqfsNgwdQSdh4MHvWv11jiiwqN/3f642rkC8OvZX4mIi9A4ooJLEhSRJXpFz+KAxer9Ec+N0DCawmdwg8HYW9sD4H/an7jknO10KfKHX878QlyS4bUfVH8QDjYOGkdUeLjYuTCwnmG0VExijDqKSuQ8SVBEluy5uYeroVcB8KvoR2XPyhpHVLgUdSpKn1p9AAiNDWVT4J8aRyTymqIoJpd3Rj43UsNoCieTzrInfkRRFA2jKbgkQRFZIh+M2kv54bj8sr92gQhNHL17lLMPzwLQvExzahevrXFEhU9d77q0LNsSgP8e/sfB2wc1jqhgkgRFZFpwTDAbLmwAwMvRi5dqvKRtQIVUy7ItqVWsFgBHHv7LXbtAHl2PQK+XX3GFQcq+R/IjQTspfyjI5Im5QxIUkWkrTq9QJwgb0mAI9jb2GkdUOOl0OvoU7a/e3+e+lYNLzrF60h5uHA3SMDKR2x7HP2bVOcMEYUXsi/By7Zc1jqjw6lOrDx4OHgCsPbeW8LhwbQMqgCRBEZmiKIrJ3CfSOVY7N44G4bmxGnZ6Q4L4b5FdxOviiA6NY9ecAElSCrDfzv6mTrH+at1XcbZz1jiivOHkbk/DXlVwcrecH0UONg68Vu81AGKTYvn1zK8aR1TwSIIiMuXg7YNcDL4IGCaFMq7sKfKWXq9w+OcLOOtdaRzpA0CsdTQnXA+odQ6vuCCXewqowtoHzMnDgUZ9quLkYVmjlVK+BotOLpLOsjlMEhSRKYX1g9HSBF0MJTrUMLy0dXhXtXyf+1b1dnRIHEEXQ/M8NpG7Tt4/yYn7hplLG5VsRMOSDTWOSNT1rkvT0k0BOP3gtPr6iJwhCYrIUHhcOGvPGSaFcndwV4e5irwXm2Itl0px1SkdXwGAa44XuGt302w9UTAsOiE/EiyRSSvKCeksm5MkQREZ+vXMr8QmxQKGFVMdbR01jqjwckxxDV6HjtbhXdT7+9y3ma0n8r/ohGh+PWvo4+Bs60z/uv0z2EPklX51+uFi5wLAyv9WEpUQpXFEBYckKCJdT3eOlV9u2ipRwxNnzyfX4Zs9bout3g6Aw0X+IV4Xh7OXAyVqeGoVosgFa86tITIhEoBX6rxCEfsiGkckjFzsXOhfx5AwRiVEsfq/1RpHVHBIgiLSFRBykjMPzgDQtHRT6nrX1Tiiws3KSkezQTXV+056FxpHtgYgxjqKE64HaTawJlZWOq1CFLlAfiRYtpSvScqlQMSzkQRFpGvF5eXq7VGNRqVTU+SVik1K4DelodqS0jq8s7rtTK19VGxSQqvQRC747+F/HL5zGIC6xevSpHQTjSMST2tcqjH1vesDcPjOYf57+J/GERUMkqCINMXpYthwcz0Arnau9KvdT+OIhFHFJiXoN8+XlsNrUzmuJlWcqgFwIuwY5x6e0zg6kZNSdrwc1WgUOp20jlkanU5nMjeUdJbNGZKgiFT0eoVH1yM4WmQvMUnRAAyoO6DQTAqVX1hZ6ShWyQ0dOobVHq6Wy7TbBUdsYiwrzqwADBODvVr3VY0jEml5te6r6qrSK86sUFebFtknCYowceNoEKsn7eHgknPsc3syKqSrfU8NoxIZ6Vupn/rh+PPpn4lNjNU4IpET1l9YT1hcGAB9a/XFw9FD44hEWjwcPehbqy8AYXFh6rplIvskQRGqG0eD2DUngOjQOG7ZXyPQ8QoA5eKq8HCZXqZQt2Du9u7quixhcWGsO78ux48RExbHiXVXiAmTX4Z5RSZIzF9MLvNIS+YzkwRFAE+mUDfan6L1xCe8EyBTqFu6Uc896cScctRHTokJjydgw1ViZBK4PHEp+BL7AvcBUKNoDVqVa6VxRCIjPuV8qO5VHYA9N/dwJeSKxhHlb1lOUGJiYli6dClvvfUW3bp1o3Xr1mzdujXjHf9fZGQkX331FS+88AIdO3Zk8uTJXLp0KathiByWcgr1eF0cR4rsBsBOb0/TyLaATKGeFVosbtaibAtqFasFwIFbBzj/6HyeHVvkvMUnnwxXHfncSOkcmw883Vl2ScASDaPJ/7KcoERERODv709gYCBVqlTJ0r56vZ533nmHv//+m169ejFmzBjCwsKYPHkyt2/fzmooIgelnBr9uOt+Yq0NK6Y+H9kaR72T2XoibVosbqbT6UxaUWQkQf4VnxSP/2l/AOys7RhUf5C2AYlMG1R/ELZWtgD4n/InMTlR44jyrywnKF5eXvz++++sXbuWsWPHZmnfPXv28N9///Hee+8xdOhQevXqxbx587CysmLZsmVZDUXkoJRTo+93T3l5p0ua9YTlGVh/IPbWhtdo+enlMpIgn/rz0p8ExwQD0LNGT4o6FdU4IpFZxZ2L82KNFwF4EP2ATZc3aRxR/pXlBMXOzg4vL69sHWzv3r14enrSunVrtczd3Z22bdty4MABEhISsvW44tkZp1C/axfINUdDX5TS8eWpFFddrSNTqFs+T0dP+tZ+MpJg/fn1GkcksiNlB0uZIDH/MVlAUDrLZluedpK9fPkyVatWxcrK9LA1a9YkLi5OLvNoyDiFumnn2M7oeHLdW6ZQzx9GNxqt3s6NzrIid10Pu87f1/8GoLJHZXwr+GobkMiy9pXaU8G9AgDbr27nVsQtbQPKp/I0QQkNDTXb+mIsCwkJMbtfcHAwly5dUv8FBgbmapyFVcnn3DnhbRg1YKO3pdnjdoCh5cRvSkOZQj2faFm2JTWLGtbr2Re4j4vBFzWOSGRFys6xI54bgZVOBlvmN1Y6K4Y3NEyeqKCwNGCpxhHlT3n6zo+Pj8fOzi5VubEsPt58B8yNGzcycuRI9d/06dNzNc7CasOFDYQnGiaF6uLdHWe9Ky2H16bfXN8CkZxoMbJGCzqdzuSywMIT0oqSXyQmJ7LslKE/no2VDUMaDNE2IJFtQxoMUZPLJQFLSNYnaxxR/pOnCYq9vb3ZfibGMnt7818cPXr0YNGiReq/999/P1fjLKxSXis1DpUrVsmtwFzW0WJkjVYG1pPOsvnR5iubCYoyTIj4QrUXKOGS/38YFFZlipSha9WuANx5fIft17ZrHFH+k6cJiqenp9nLOMaytDrfFi1alOrVq6v/ypcvn6txFkaXQy6z5+YeAKp7Vad58RbaBiSeiZeTF31q9QEgNDZUpt3OJ6RzbMFiMnmitGRmWZ4mKFWrVuXKlSvo9XqT8gsXLuDg4EDZsmXzMhyRwtPXvWVSqPxPLvPkL7cjbrPtqqGTejm3cnSo1EHjiMSz6lK1C6VcSwHw1+W/uBd5T+OI8pdcS1CCg4MJDAwkKSlJLWvTpg2hoaHs27dPLQsPD2f37t20aNHCbP8UYSo31kNJSE7A/5Q/ALZWtgyuPzjHHjszCkvfkLzmU86HGkVrALA3cC+XgmXGZku2NGApesXw4214w+FYW1lrHJF4VjZWNmpn2WQlmWUBMt9XVmQrQVm/fj3Lly9ny5YtABw8eJDly5ezfPlyoqKiAFi4cCEDBw7k0aNH6n6+vr7Url2bmTNn4u/vz++//87kyZPR6/UMGzYsB06n4MuN9VA2XtrIoxjD69SzZk+KORfLscfOjMLUNyQvpZpZVuZjsFjJ+mR1WnQrnRXDGsrnYUExvOFwdbqGxQGL1SRUZCxbCcrq1atZsmQJf/zxBwD79u1jyZIlLFmyhMjIyDT3s7a25ssvv6Rdu3asX7+eBQsW4Obmxpw5cyhXrly2TkA8u5TN/7JiasEyqP4g7KwNLZP+p/yJT5KlCizR9mvbuf3YMA9UlypdKFOkjMYRZUxaPjOnvHt5OlUxLLh6M/ymOseNyJhNdnZas2ZNhnWmTZvGtGnTUpW7urryzjvv8M4772Tn0CKHXQ+7zs7rOwGo5FGJdhXbaRyRyEnGzrIrz64kJDaE3y/+zit1XtE6LPGU/Ng51tjyKTI26rlRav+ihScW0rFyR40jyh9kBqBC7ukVU2VSqIIn5WWen078pGEkwpz7kffZdMmwXksp11Lq0FRRcHSv1h1vZ2/AsM7Sg6gHGkeUP8i3USEmk0IVDq3Lt6aaVzUA9tzcw+WQyxpHJFLyP+VPsmKYxGtog6HYWGWrYVtYMFtrW7VfUZI+SR2UINInCUoh9tflv9RJoV6s/qJMClVApeose0I6y1oKvaI3ubxjHPEhCp6Ur+2ik4uks2wmSIJSiKVcSC6/XPcW2TO4weAnnWVPS2dZS/HPjX+4EX4DgA6VOlDRo6LGEYncUtmzMu0rtQfgWtg1Dgbt1zgiyycJSiF1M/wm268apl6u4F5B/cMRBVNRp6L0qtkLgOCYYP64+Ie2AQnAtHOsjKAr+FK+xj9fWa5hJPmDJCiF1JKTS1BQAOkcW1iMbjRavZ2y9Uxo41H0I36/8DsAxZyK8WKNFzWOSOS2l2q8RDEnwzxTW279RaR1hMYRWTb5ViqEkvRJ6qRQ1jprhjYYqnFEIi+0Kd+Gqp6GYaH/3PiHKyFXNI6ocPv59M8k6hMBw8q3xktwouCys7ZTByMk6BP4t8guHl2PQK9XtA3MQkmCUghtvryZ+1H3AXih+guUdC2pcUQiL+h0OpO+RimHmIu8pSiK2dXDRcHXyeZJS9l+t20cWPIfqyft4cbRIA2jskySoBRCJpNCPSedYwuTwfUHY2tlC8CyU8tISE7QOKLCaf+t/VwKMayN1KZ8G3UYuCjYbhwN4saix1SPqQdAkP0drjj+R3RoHLvmBORKkpIb67flFUlQCplbEbfYenUrYFgxVWY0LFyKORdTO8s+inkknWU1Ip1jCx+9XuHwzxcA8AnvpJbvc9+m3j684kKOX+7JjfXb8ookKIVMyhVTRzQcISumFkIpL/OkXIdJ5I3Q2FDWnV8HgIeDB71r9dY4IpEXgi6GEh1qaMV4LqolzsmuAJxwOUC0lWENu+iQOIIuhmoWo6WRBKUQSdk5VlZMLbx8K/hSxbMKALtu7OJq6FWNIypclp9aTlyS4YtqUP1BONjIKt6FQWyKFgxbxY7mEX4AJFkl8m+RXWbrFXaSoBQi265u487jO4BhbYjSRUprHJHQgpXOyqTvkXSWzTuKovDjiR/V+2Maj9EwGvG03Fyh2fGpx/SJ6Kze3ue+TZ324el6hZkkKIVIyoXi5Lp34Ta4gXSW1cL+oH3qWkhtK7SlRtEaGkckUjKu0OzkkfOtWiVqeOLs+eRxSyWUo0pMbQDu29/imsMFnL0cKFHDM8ePnV9JglJI3Ay/yebLmwEoW6Qsnat0zmAPUZAVdy5Oz5o9AXgY/ZCNlzZqHFHhsOzSEvX22MZjNYxE5DUrKx3NBtU0KUvZirLXfQvNBtbEykqX16FZLElQComfjv+kNiGOaTxGVkwVJpd5LKmzbH4eFpmecOsQtt42/Ego4VKCl2q8pG1AIs9VbFICvykN1ZaUxpGtcEp2AeCkx0Fc68jnckqSoBQC8UnxLA4w9DOwtbKVFVMFAG0rtqWyR2UAdl7fybXQaxpHZJCfh0WmZ7/7dpKVZMAwgs7W2jZXjpOb/SjEs6vYpAT95vnScnht7BR7+pZ9BYAEfTxLA5ZqHJ1lkQSlEFh3fh3BMcEA9KnVB28Xb40jEpbASmdl0hdJOsvmniR9EvvcDPMPWemsGNko9/qA5WY/CpEzrKx0FKvkBsC4JuPU8gXHF5CsT9YqLIsjCUoh8MPxH9Tb454fl05NUdgMaTBEvdy39NTSQtdZNq8uJ+24s41w2xAAulXtRjm3crl6PJF/VCpSiU6VDRO33Qy/ybar2zLYo/CQBKWAOxV0ikO3DwFQt3hdWpZtqXFEwpJ4u3irfSEeRj9k06VN2gaUx/LicpJer7Dw1JM+PqMbydBiYWr88+PV298f+17DSCyLJCgF3IJjC9TbYxuPRaeTHuLC1OhGo9XbC09aTmfZguDG0SDmTvmVg+H7ACiaUILwefayMJww0bVqV8q7lQcM81VZSn8wrUmCUoBFxEXwy9lfAHCxc+G1eq9pHJGwRO0qtqOSRyUAdlzbwY2wGxpHVDDcOBrErjkBbNP9oZa1juhCbGhCri0MJ/InaytrddI+BYUfj/+YwR6FgyQoBdjPp38mJjEGgEH1BuFq76pxRMISSWfZnGdcGC5BF8+hIjsBsNHb0CriyeKcubEwnMi/hjccjp21HWDoDxabGKtxRNqTBKWAUhTFpHPs2OdlUiiRtqc7yyYmJ2ocUf5mXBjuqOteomweA/BcVCtck93UOrIwnEipmHMxXq79MmBYUHL1udUaR6Q9SVAKqD0393Ax+CIArcu3pk7xOhpHJCxZCZcSvFj9RQCCooJkZtlnFBsej4LCLo8nz6NfWA+z9YQwStlZ9odjP6RTs3CQBKWAmn90vnp7XGMZWiwylrKz7Lyj8zSMJP9zdLfniuN/3HG4DkDF2OpUiku97o4sDCdSalq6KQ1LNATg2L1jHLt7TOOItCUJSgF0I+wGf1z8A4CSLiXVNVeESE/7Su2pWdSwVsi+wH2cvH9S44jyrxI1PNnrvVm9b671RBaGE0/T6XQmrSgpf2gWRpKg5ABLWzvku6PfqevujH9+vNrxSoj06HQ6JjedrN6fe2SuhtHkb3cib3Pc/gAAbkkeNIpslaqOLAwnzOlftz+ejobEddV/q7gfeV/jiLQjCUoOsKS1QyLjI9V1d+yt7RnVaFQGewjxxMD6A/Fw8AAMH45BUTIUNjt+OPYDevQAdIh/ERuerLvj7OWA35SGVGxSQqvwhAVzsnVSF/JM1Cey4PiCDPYouCRBKWD8T/nzON4wauC1eq9RzLmYxhGJ/MTJ1klNahOSE2Q+hmyISYxh0clFgGFxznnvz6Tl8NoAtBxem35zfSU5Eeka32S8OqpuwfEFhXbIsSQoBYhe0Zt0bkzZXC9EZo1/fjzWOmvA8OEYn6R9y2B+svLsSkJjDcOHX6nzCiWLlFAXhitWyU0u64gMlSlShr61+gIQHBPMyrMrNY5IG5KgFCBbrmzhauhVAPwq+lHXu67GEYn8qKxbWXrX6g0Y1udZ9d8qjSPKPxRFYd6RJz8SJjaZqGE0Ij+b0myKenvOkTkoSuGb1E8SlAJkzuE56m1pPRHPYkrTKertwvrhmB27buzi7MOzADQr04znSz+vcUQiv2pSugktyrYA4L+H/7Hrxi6NI8p7kqAUEGcfnFXfwJU9KtOtWjeNIxL5WbMyzXi+lOHL9VTQKfYF7tM4ovzh60Nfq7ffaPaGhpGIgsDkh0KKH6CFhSQoBcTTrSdWOnlpRfbpdLpUTcwifWcenGH7te0AVHSvSK+avTSOSOR3PWv2pJxbOQA2X9nMpeBLGkeUt+RbrAC4F3lPXbW4iH0RhjQYom1AokDoU6sPpVxLAfDnxT+59viqxhFZttn/zlZvv9H8DaytrDWMRhQENlY2Jv2YClsriiQoBcCcw3NISE4ADNPay6rFIifYWdsxqckkwLAE/PfnCveslum58/iOOtLC09GToQ2GahyRKChGPDcCFzsXAJadWsaDqAcaR5R3JEHJ5yLiItS5Kuys7ZjUdJLGEYmCZEzjMRSxLwLAqqu/EW4dyqPrEej10mk2pXlH5pGkTwIMPxKc7Zw1jkgUFO4O7uo6WfHJ8SajxAo6SVDyuR+P/0hkQiQAg+sPpqRrSY0jEgWJm4Mbr5QaCECiksDfHn9wcMk5Vk/aw42jMssswOP4x/x04ifA8CNhQpMJGkckCprXm72OrZVhNuLvj32vTsZZ0EmCko/FJcWpnRd16HirxVvaBiQKnBtHg6i6szk2esOslvvctxBjFU10aBy75gRIkgIsOrFI/cIYVG8Q3i7eGkckCprSRUozsJ7hh0JEfAQLTyzUOKK8IQlKPvbLmV/UtVJ61uxJNa9qGkckChK9XuHwzxdwT/ak+eP2AMRax7DXfYta5/CKC4X6ck9cUpxJ59g3W7ypYTSiIHu75dvoMMxC/O3hbwvFDM+SoORTyfpkvjr0lXp/aoupGkYjCqKgi6FEhxpW6O4Y2gudYvhw3OXxB4k6Q6fs6JA4gi6Gahaj1pYFLON+lGG12Z41elKjaA2NIxIFVY2iNXipxkvA/4/cPPOLtgHlAUlQ8qnNt//icshlANqUb0PTMk01jkgUNLEpVucukViGhlGGWS0jbML4t8gus/UKk8TkRL44+IV6//3W72sYjSgM3mn5jnr7q0NfkaxP1jCa3CcJSj6kR8/s07PU+++2elfDaISWnNztadirCk7u9jn+2I5PPWbn0L7q7S2ea0gi0Wy9wmLFmRXcirgFQNeqXXmu5HMaRyQKuqZlmuJbwReASyGXWH9hvbYB5TJJUPKhUy7/cj78PGBYr6FT5U4aRyS04uThQKM+VXHycMjxxy5RwxNnzyePWzGuGnWiGgEQYveAf9124ezlQIkanjl+bEuXpE9i5oGZ6v33faT1ROSNaa2mqbc/2ftJgW5FyXKCkpCQwIIFC+jZsyft27dn9OjRHDt2LFP7Hj9+nMmTJ/PCCy/QtWtXRo0axfbt27McdGGmKAqbvH5T73/Y+kN0Olm+XeQ8KysdzQbVNCnrHvKqenuz52qee7UyVlaF7/235twak5XDm5dtrnFEorBoX6m9uojg+UfnWXd+ncYR5Z4sJygzZ85kzZo1dOjQgUmTJmFlZcXUqVM5c+ZMuvsdOHCAN998k8TERIYMGcKIESOwt7dnxowZrFmzJtsnUNhsu72FOw7XAWhcqjFdq3bVOCJRkFVsUgK/KQ3VlpTKcTVMWlH22+3QMjxN6BU9M/bPUO9L3xORl3Q6HR+3+Vi9X5BbUbKUoJw/f55du3YxatQoxo0bR48ePZgzZw4lSpRgwYIF6e67YcMGvLy8mDNnDr1796ZXr158++23lC5dmq1btz7TSRQWycl6Zh77XL3/vs8H0noicl3FJiXoN8+XlsNrA/C/Fk++kGfsn6Eus1BYrDu/jvOPDJdYW5VrRZvybTSOSBQ27Su1p2XZlgBcCL7A2vNrNY4od2QpQdm7dy/W1tb06NFDLbO3t6dbt26cO3eOBw/SXiMgJiYGV1dX7Ozs1DIbGxvc3Nywty+cneyy4sbRIN55eyYXos8BUC6uMtHfuchEWSJPWFnpKFbJDYD2Ddqq/Z5uht/k59M/axlankrSJ/HB7g/U+x+0lh8JIu/pdDo+8f1EvV9QW1GylKBcuXKFMmXK4Oxsus5EzZqG69RXr6a92mmDBg24ceMGixcv5s6dO9y9e5fly5dz6dIl+vfvn43QC48bR4PYOec4qxwWqWXdQ/oTExovs3kKTXzU5iP1dmFqRVl+arnJ8P4OlTpoHJEorNpVbEercq0AuBh8kTXnCl5XiSwlKCEhIXh5eaUqN5YFBwenue/gwYNp27YtK1asYMCAAfTv359ff/2VTz/9lDZt0m8iDQ4O5tKlS+q/wMDArISdrxln8zxSZA937Q3nXTG2Gg2innTKK+yzeYq817xsc5NWlMIw9XZcUhyf7H3yq/Vzv8+l9URo5ulWlI/2fERicqKGEeU8m6xUjo+Px9bWNlW58bJNfHzaEzbZ2tpStmxZfH19ad26NcnJyWzatInp06fzzTffULt27TT33bhxI/7+/lkJtcAIuhhKeFgkf1ZcoZb1ejRUnfIYnszmWapW6uRRiNwyvd10tl8zjML7dO+nDKo/SF35uCD68fiP3H58G4Du1bqrIymE0ErbCm1pU74NewP3ciX0CotPLmbs82O1DivHZKkFxd7ensTE1BlaQkKCuj0tc+bM4dChQ3z00Uf4+fnRsWNHvv32W7y8vJg3L/3lo3v06MGiRYvUf++/X3h6zceGx7PPbQshtg8BqBX9HDVi65utl5NycwIwUTA0LtWYfrX7AfAo5hFfH/pa44hyT2R8JJ/vf9JBfXrb6RpGI4SBTqdjVvsnk3Z+vPdjIuMjNYwoZ2UpQfHy8iIkJCRVubGsaNGiZvdLTExk8+bNNG/eHCurJ4e0sbGhadOmXLp0yWziY1S0aFGqV6+u/itfvnxWws7Xkp0T2Oy1Sr3f+9FQs/VyejbP3JwATBQc09tNx8bK0BA7+9/Z3I+8r3FEuWP2v7N5FPMIgFfqvEL9Eql/JAihhaZlmtK3lmGW54fRDwvUD4UsJShVqlThzp07REdHm5SfP39e3W5OREQEycnJJCen7mWcnJyMXq9Hr9dnJZRC45eQpUTaRADw/OM2lIuvnKpOYZ3NU2ivimcVxjQaA0BMYoxJH42C4s7jO3x58EsAbKxs+NT3U40jEsLU536fF8gfCllKUHx9fUlOTmbjxo1qWUJCAlu2bKFWrVp4e3sD8ODBA5OOrB4eHri4uLB//36TlpKYmBgOHjxIuXLlZKixGYHhgXz1r2HFYmvFmpeCB5qt12xgzUI5m6ewDB+0+QAXOxcAFp9czIVHFzSOKGe9t+s9YpNiARj//HiqelXVOCIhTFXxrMLYxoa+J9GJ0Xy852NtA8ohWUpQatWqRdu2bVm4cCELFixg48aNTJkyhaCgIMaMGaPWmzFjBgMHPvkytba25pVXXuH27duMGTOGNWvWsGrVKkaPHs2jR48YNGhQzp1RATL176nEJRmWux9ScQQVXSuZbHf2csBvSkMqNimhRXhCAFDcuThTW0wFIFlJZvK2yShKwRhVdvTuUXVZew8HDz5s86HGEQlh3getP8DVzhWAxQGLOR10WuOInl2Wp7qfNm0affv2Zfv27cybN4+kpCRmzZpFgwYN0t1v0KBBfPDBB9jY2ODv78+SJUtwdnbm008/pWPHjtmNv8DaF7hPHddezKkYs/vNMpnNs+Xw2vSb6yvJibAIb7Z4k3Ju5QDYeX0nf1z8Q9uAcoCiKLyx/Q31/se+H+PpKJdShWUq5lyMaT6GhQT1ip4JWyfk+x8KWRpmDIaROuPGjWPcuHFp1klrVE6HDh3o0EEmNspIsj6ZSVsnqfc/9/scNwfDLJ7G2TyLVXKTyzrCYjjZOvFNx2/os7YPAG/seIPOVTrjaOuocWTZt+LMCg7ePghAda/qahO6EJbq9WavszRgKVdCr3Dg1gF+PfsrnV1f0DqsbMtyC4rIfQuOL+D0A0PzXMMSDRnawPzIHSEsSa+avfCr6AcYJm8zdizNj0JjQ3lzx5vq/Tmd52BrnXoOKCEsib2NPfO7zFfvv73zbSITHmsY0bORBMXC3I64zXu73lPvz+syD2sraw0jEiJzdDod87rMU0cTzDwwU50WPr95Z+c7BMcYZsbuW6svnat01jgiITKnU5VOvFTjJQCCooL4eJ9hZN2j6xH5bsZxSVAsiKIoTNg6gaiEKABGPTdKXWtBiPygVrFaTG46GYD45HhGbhqJXslfUwgcvHWQxQGLAXC1c2VO5znaBiREFn3b6VvsrQxzWK24u5RrDhc5uOQcqyftyVdrt0mCYkE2XNjAxkuGIdwlXEowq8OsDPYQwvJ84vsJFd0rAobO3vlpnZ64pDhG/TVKvT+j3QxKuZbSMCIhsk657MALQQMMt3UKy0t8S6IukejQuHy1wKwkKBYiOCaYCVsnqPfndZ6Hu4O7dgEJkU3Ods4seuHJyttTd07lzuM7GkaUeR/88wHnHxkmnmxUshHjnk97MIAQlsi4wGz7sJ6UjzXM2XPf/jZ/ea1U6+SXBWYlQbEAiqIw+q/RBEUZstru1brTp1YfjaMSIvv8KvkxvOFwACITIhm+cbjFX+rZH7if2f/OBsDO2g7/l/yl/5fId4IuhhIdGoc11gwJmoK1YugTts1zLYH2V4AnC8xaOklQLID/KX82XNgAgJejFwu7L5Rl3EW+93XHrynpUhKAHdd2MOfwHG0DSkdUYhRD/hyCguFX5WdtP6NO8ToaRyVE1qVcOLZMQkW6hrwMgF6nZ2GpWcTpYlLVs1SSoGjsWug1Jm17MufJohcWUdK1pIYRCZEz3B3c+bnnz+r9d/9+l5P3T6a7j16v8Oi6Ye2p3B51kPJYr+96neth1wFoWbYlbzZ/M71dhbBYTy8c2zWkn3qp56HdPVZ6LzBbzxJJgqKhuKQ4Xln/ijpqZ3jD4fSs2VPjqITIOe0rteftFm8DkKhPpP/6/ur7/Wk3jgaxetIeDi45B5Crow5SHutAkR388XAtAE7WTnJpR+RrJWp44uz5ZBV6G2wZdf8d7PWGSRP/ddtFQKn9+WKBWUlQNDRhywSO3zsOQGWPynzb6VuNIxIi501vN53GpRoDcDnkMsP+HJZqCu4bR4PYNSeA6NA4k/LcGHWQ8lh37G+w0vsHdduA2+OxvuqSY8cSIq9ZWeloNqimSVnxxFK8FvRkEMZy93mcDz6X16FlmSQoGll0YhFLApYA4GjjyIZ+G3C1d9U4KiFynp21HSt7raSIfREA1p5fy8wDM9XtxlEH6cmpUQcpjxVpHcEPpT4j0SoBgNbhXWga2TbfjHAQIi0Vm5TAb0pDk5aUZpFtaR3XCYDo5GheXPUiITEhWoWYKZKgaODv638zbsuT4YuLXlhEPe96GkYkRO6q6lWVX3v9ig5D5+/3/3mfPy/+CTwZdZCenBp1YDxWoi6BH0p9xiM7Q8tMubgqvPJwdI4eSwgtVWxSItUCs5s/Xs9zJZ8D4HrYdfqu7UticqKWYaZLEpQ8djroNL1W9yJJnwTApCaTeLXeqxpHJUTu616tO5+1/QwABYVX1r/CgVsHMj2aICdGHcSGx6NHj3+JOVx1Msx34pbkyfi7H2Kr2OXosYRIj5O7PQ17VcEpFzurWlnpTBaYdbF35o9+f1DcuTgAu2/uZuifQy12CgBJUPLQlZArdF3ZlciESABerP4i33T6RuOohMg703ym0b9Of8DQSbz7yu7c4Gqm9s2JUQcObnb86v09R4vsAcBOb8/EOx/hmVQ0x48lRHqcPBxo1KcqTh4OGVfOQWXdyvJ7v9+xtza8x389+yuTt05O1S/MEkiCkkcuBV/Cd7kv9yLvAdC0dFNW9l4powVEoaLT6fB/yZ+OlTsCEBEfQf+DvXlU/Ha6+zl7OTzzqANFUZh161P2uW8FwEqxYuS9dygfXzXHjyWEJWtRtgWr+6zGWmf4/vnu2He8vfNti0tSJEHJA2cenDFJTuoWr8um/ptwsnXSNjAhNGBnbcf6l9fTtHRTwLDMw8xib3PVMe1RBc0G1sTKKvuTFyYmJzJs4zDmHzUsRa9TrBh+/20aRDfL8WMJkR+8WONFlr64VL0/+9/ZjNg4Qu1+YAkkQcllGy9tpMWSFuo09vW96/PP4H8o5lxM48iE0I6LnQvbXttGi7ItAIhMeszcCh8QUPKAST1nLwf8pjSkYpMS2T5WRFwE3VZ2w/+UPwA6dHxV/1va2nbK8WMJkZ8Mqj+IRS8sUjuvLz21lJdWvURYbJjGkRlIgvKU0Nic6b2fmJzIR7s/4qVVLxGdGA1Ak9JN2DVoF0WdimawtxAFn7uDOzte20GHSh0AiNPH8UORz9nru5ZEXSIth9em31zfZ0oYjt87znMLn2Pn9Z0A2Fvbs7bvWt7sOSnVCIdnPZYQ+dGI50awus9qbK1sAdh8ZTONFzXmVNApbQNDEhQTAfcDKPNNGd79+10exz/O1D7mpuY+FXSKVsta8em+T9W1PfrV7seewXvwcvLKtfiFyG+c7ZzZ1H8TIxqOUMt+ub+Mz8pPJND1crYvtcQmxvLBPx/QYkkLdQp7T0dPdg3aRe9avYHUIxzkso4orPrW7svWV7fi6Wjoe3U97DpNFzdl5v6Zml7ykQTl/ymKwuvbXyc2KZZZB2dRbX415h+ZT3RCdJr7PD019/qft+M3rRvP/fQcR+8eBcBaZ830ttP5rfdvONo65sm5CJGf2NvYs6jHIn7q/pP6K+6+/S26bO3Ay2tf5tzDzM94mZCcwMITC6n5fU2m759Oot4wx0PT0k05MeoELcu1zJVzECK/86vkx8lRJ9VZnxOSE5j2zzR+PfOrZjHZaHZkC5OkT6JF2RYcvnOY+OR4HkQ/YNK2SXy05yN61+zNizVepGnppmrfkRtHg9g55zgP7O5x2e0sJ10Pct45wOQxq3lVY0XPFTQp3USLUxIiXxnVaBTNyjRj4JpBnAk9DRhmnV17fi0+5XzoW6svfpX8qOpZFVtrW3W/iLgIDt0+xJYrW1h1bhXBMcHqNlsrW95p+Q4ftPkAO2u7VMcUQjxR3r08B4Ye4MPdH/L1v1/TrEwzXqv3mmbxSILy/2ytbfnc73NGPjeSt3e+zfoL6wEIiwtjccBiFgcsBgzXzT0cPIgIieRx1QiSrFLPwueY7ETPuIEsfm8OjnZ5O8ZdiPysnnc9tnfdxeuz32dX+fU8insEwP5b+9l/az8ANlY2lHApga2VLWFxYYTHhZt9rM5VOvNNx2+oWaym2e1CiNTsbeyZ1WEWPWv2xMvRS9OpMCRBeUpFj4qse3kdp4NO883hb1h7bi2xSbHq9vC4cMMHopnXrGhCCXzDu+ET0QknvQthV6NxrCUJihBZYWNlg194D2ZOeZ8/Q9fx04mfuBD8ZK2eJH0Sdx7fMbuvvbU9L9V4idebvU7TMk3zKmQhCpxmZVIPwc9rkqCkoX6J+ix/aTkLui1g+9Xt7L+1n4CgAO48vkNIZChKjA4nvQslEkpTLq4KdaOfp2x8JXW4Fsh02UI8CxdbFyY3m8ykppM4+/As269u5+i9o1wJucLD6Ick6hNxtXOlrFtZ6hWvh095HzpW7oi7g7vWoQshcoAkKBlwsnWiZ82e9KzZUy27dz6ELdOPZrivTJctxLPT6XTU864nC2oKUcjIKJ5sKFHD02QZa3NkumwhhBAi+yRByQYrKx3NBqXf8U6myxZCGOXFyrVCFDSSoGRTxSYl8JvSMFVLikyXLYR4mlYr1wqRn0kflGdQsUkJyjf25tLu2xxcco6Ww2tTvW1ZaTkRQgghnpG0oDwjmS5bCCGEyHmSoAghhBDC4kiCIoQQQgiLIwmKEEIIISyOJChCCCGEsDiSoAghhBDC4kiCIoQQQgiLIwmKEEIIISyOJChCCCGEsDiSoAghhBDC4kiCIoQQQgiLIwmKEEIIISyOJChCiExxcrenYa8qOLnbax2KEKIQkNWMhRCZ4uThQKM+VbUOQwhRSEgLihBCCCEsjiQoQgghhLA4Wb7Ek5CQwJIlS9ixYweRkZFUrlyZESNG8Pzzz2dq/127drFu3TquXbuGjY0N5cuXZ8SIETRq1CjLwQshhBCiYMpygjJz5kz27NlD3759KVOmDFu3bmXq1KnMnTuXevXqpbvv0qVLWb58Ob6+vnTu3JmkpCRu3LhBcHBwtk9ACCGEEAVPlhKU8+fPs2vXLsaOHUv//v0B6NSpE0OGDGHBggUsWLAgzX3PnTvH8uXLGT9+PC+//PKzRS2EEEKIAi1LfVD27t2LtbU1PXr0UMvs7e3p1q0b586d48GDB2nuu3btWjw9PenTpw+KohATE5P9qAsxGeophBCiMMhSC8qVK1coU6YMzs7OJuU1a9YE4OrVq3h7e5vd98SJE9SpU4d169axYsUKIiIi8PT0ZODAgfTu3Tvd4wYHBxMSEqLeDwwMzErYBYoM9RRCCFEYZClBCQkJwcvLK1W5sSytviSRkZFERETw33//cfLkSYYMGYK3tzdbt25l7ty52NjY8OKLL6Z53I0bN+Lv75+VUIUQQgiRj2UpQYmPj8fW1jZVuZ2dnbrdHOPlnIiICD766CP8/PwA8PX1ZciQIfz888/pJig9evSgZcuW6v3AwECmT5+eldCFEEIIkY9kKUGxt7cnMTExVXlCQoK6Pa39AGxsbPD19VXLraysaNeuHUuXLuXBgwdpXh4qWrQoRYsWzUqoQgghhMjHstRJ1svLy6QviJGxLK0kokiRItjZ2VGkSBGsra1Ntnl4eACGy0BCCCGEEJDFBKVKlSrcuXOH6Ohok/Lz58+r280exMqKqlWrEhERkaoFxthvxd3dPSuhCCGEEKIAy1KC4uvrS3JyMhs3blTLEhIS2LJlC7Vq1VIv0Tx48CDVSJu2bduSnJzMtm3b1LL4+Hh27txJhQoV5BKOEEIIIVRZ6oNSq1Yt2rZty8KFCwkPD6d06dJs27aNoKAg3nnnHbXejBkzOHXqFPv27VPLXnzxRTZv3sy3337L7du38fb2Zvv27Tx48ICZM2fm3BkJIYQQIt/L8lT306ZNU5OLqKgoKlWqxKxZs2jQoEG6+9nb2zNnzhwWLFjAli1biIuLo0qVKsyaNYsmTZpkN34hhBBCFEBZTlDs7e0ZN24c48aNS7POvHnzzJZ7eHgwbdq0rB5SCCGEEIVMlvqgCCGEEELkBUlQhBBCCGFxJEERQgghhMWRBEUIIYQQFkcSFCGEEKKAcnK3p2GvKji5m1+KxpJleRSPEEIIIfIHJw8HGvWpqnUY2SItKEKIQis//7oUoqCTFhQhRKGVn39dClHQSQuKEEIIISyOJChCCCGEsDiSoAghLIr0CxFCgPRBEUJYGOkXIoQAaUERQgghhAWSBEUIIYQQFkcSFCGEEEJYHElQhBBCCGFxJEERQgghhMWRBEUIIYQQFkcSFCGEEEJYHElQcoBMLCWEEELkLJmoLQfIxFJCCCFEzpIWFCGEEEJYHElQhBBCCGFxJEERQgghhMWRBEUIIYQQFkcSFCGEEEJYHElQhBBCCGFxJEERQgghhMWRBEUIIYQQFkcSFCGEEEJYHElQhBBCCGFxJEERQgghhMWRBEUIIYQQFkcSFCGEEEJYHElQhBBCCGFxbLQOIDvi4+MBCAwM1DgSIYQQQmRV+fLlcXBwSLdOvkxQgoKCAJg+fbrGkQghhBAiqxYtWkT16tXTraNTFEXJo3hyTHh4OEePHqVkyZLY2dlpHU6uCwwMZPr06bz//vuUL19e63DylJx74Tv3wnreUHjPvbCeNxTecy+wLSju7u507NhR6zDyXPny5TPMOAsqOffCd+6F9byh8J57YT1vKNznnhbpJCuEEEIIiyMJihBCCCEsjiQo+YCXlxdDhgzBy8tL61DynJx74Tv3wnreUHjPvbCeNxTuc89IvuwkK4QQQoiCTVpQhBBCCGFxJEERQgghhMWRBEUIIYQQFkcSFCGEEEJYnHw5UVtBFBwczLp167hw4QIXL14kNjaWuXPn0rBhw1R1J02axKlTp1KVN2nShK+//tqkLCEhgSVLlrBjxw4iIyOpXLkyI0aM4Pnnn8+tU8myrJw7wNmzZ/nxxx+5fPkyzs7OtG3blpEjR+Lk5GRSLz+cuzlbt25l5syZZrf9/vvvqXr7HzhwgGXLlhEYGIi7uztdu3Zl0KBB2Njkrz/v/Pp6ZUVAQACTJ082u23BggXUrl1bvZ/Z97kliomJYdWqVZw/f54LFy4QGRnJe++9R5cuXVLVvXnzJt999x1nz57FxsaG5s2bM2HCBNzd3U3q6fV6Vq1axR9//EFoaChlypThtddeo3379nl0VhnL7Hl//vnnbNu2LdX+5cqV45dffjEpyw/nnVvy1ydYAXb79m1WrlxJmTJlqFSpEufOnUu3frFixRg9erRJmblhajNnzmTPnj307duXMmXKsHXrVqZOncrcuXOpV69ejp5DdmXl3K9cucLrr79O+fLlmTBhAg8fPmT16tXcuXOHr776yqRufjj39AwfPpySJUualLm4uJjcP3z4MP/73/9o0KABkydP5vr16/z888+EhYXx5ptv5mW4zyy/v15Z0bt3b2rWrGlSVrp0afV2Vt7nligiIgJ/f3+8vb2pUqUKAQEBZus9fPiQiRMn4uLiwsiRI4mNjWXVqlVcv36dn376CVtbW7XuokWL+PXXX3nhhReoUaMGBw4c4NNPP0Wn0+Hn55dXp5auzJ43gJ2dHVOnTjUpc3Z2TlUvP5x3rlGERYiOjlYiIiIURVGU3bt3Kz4+PsrJkyfN1p04caIyaNCgDB/z3Llzio+Pj7Jy5Uq1LC4uTnnllVeUMWPG5EzgOSAr5/7WW28pL730khIVFaWWbdq0SfHx8VGOHDmiluWXczdny5Ytio+Pj3LhwoUM6w4cOFAZOnSokpiYqJYtXLhQad26tXLz5s3cDDNH5efXKytOnjyp+Pj4KLt37063Xmbf55YqPj5eCQ4OVhRFUS5cuKD4+PgoW7ZsSVVv9uzZSvv27ZWgoCC17NixY4qPj4/y559/qmUPHz5U2rZtq3zzzTdqmV6vV8aPH6/06tVLSUpKysWzybzMnveMGTOUjh07Zvh4+eW8c4v0QbEQTk5OFClSJEv7JCUlERMTk+b2vXv3Ym1tTY8ePdQye3t7unXrxrlz53jw4EG2481JmT336Ohojh8/TseOHU1+aXTq1AlHR0d2796tluWXc89ITEwMycnJZrfdvHmTmzdv8sILL5hczunZsyeKorBnz548ivLZFZTXKytiYmJISkpKVZ6V97mlsrOzy9TEY3v37qVFixZ4e3urZY0bN6Zs2bIm53ngwAGSkpLo2bOnWqbT6XjppZd49OhRhi3OeSWz522UnJxMdHR0mtvzy3nnFrnEk0/dvn2bTp06kZiYiKenJ927d2fIkCEmX1RXrlyhTJkyqZoNjU3LV69eNflgsHTXr18nOTk51YJatra2VK1alStXrqhlBeHcJ0+eTGxsLLa2tjz//POMHz+esmXLqtsvX74MkOr5KFq0KMWKFTN5PixdQXi9smLmzJnExsZibW1NvXr1GDt2LDVq1ACy9j7Pzx49ekRYWJjZBfJq1qzJ4cOH1ftXrlzB0dEx1Wq/xvfHlStX8t1lwLi4OLp06UJcXByurq74+fkxZswYkz5GBfG8s0ISlHyoVKlSNGzYkEqVKhEXF8eePXv4+eefuX37Np988olaLyQkxGw2bywLDg7Os5hzQkhICGC+r42XlxenT582qZtfz93e3p4uXbrQsGFDnJ2duXTpEmvWrGHcuHEsXrxY/aLO6Pkwbs8P8vPrlRU2Nja0adOGZs2a4ebmxs2bN1m9ejUTJkzghx9+oFq1all6n+dnGZ3n48ePSUhIwM7OjpCQEDw8PNDpdKnqQf57f3h5edG/f3+qVauGoigcOXKEP/74g2vXrjF37lz1h2ZBO++skgQlF+j1ehITEzNV187OLtWbLyPvvvuuyf1OnTrx1VdfsWnTJl5++WV1JEB8fLxJJ7OUxzRuz2m5ee7GeNM6p4SEBJO6eX3u5mTn+WjXrh3t2rVTy318fGjSpAkTJ05kxYoVvPXWWwDq+RrP6enHSu/yn6WxlNcrt9WtW5e6deuq91u1aoWvry9Dhw5l4cKFfP3111l6n+dnGZ2nsY6dnV2Be388PcDBz8+PsmXLsmjRIvbu3at2fi1o551VkqDkgtOnT6c5lPBpK1asSNV8lx39+vVj06ZNHD9+XE1Q7O3tzX45Gj/g7O3tn/m4T8vNczfGm9Y5pfyi1uLczcmp56NevXrUqlWLEydOqGXG8zX3hZWQkJBn55gTLOX10kKZMmVo1aoV+/btIzk5OUvv8/wso/NMWacwvD9efvlllixZwvHjx9UEpTCcd3okQckF5cqV47333stU3ZxawbJ48eIAREZGmjz2o0ePUtU1Nq0WLVo0R46dUm6eu7G+uUsXISEhJuejxbmbk5PPR/Hixbl161aq+iEhIan6Z4SEhKQaxmrJLOX10krx4sVJTEwkLi4uS+/z/Cyj8yxSpIiajHl5eREQEICiKCatrgXp/WFvb0+RIkV4/PixWlYYzjs9kqDkAi8vL7MTEuWme/fuAZhMbmQchx8dHW3S+fD8+fPq9pyWm+desWJFrK2tuXTpksklkMTERK5cuULbtm3VMi3O3ZycfD7u3btn8vpWrVoVgEuXLlGrVi21PDg4mEePHpmMiLF0lvJ6aeXevXvY2dnh6OiYpfd5flasWDHc3d25dOlSqm0XLlwwec2rVKnCX3/9RWBgIBUqVFDLC9L7IyYmhoiIiFSf4QX9vNMjw4zzmejo6FRN+oqi8PPPPwOYzLrp6+tLcnIyGzduVMsSEhLYsmULtWrVynejIlxcXGjcuDE7duww6V+xfft2YmNjTT648/O5h4eHpyr7999/uXTpEk2aNFHLKlasSLly5di0aZPJUOQ//vgDnU5HmzZt8iLcHJGfX6+sMPfaXr16lYMHD/L8889jZWWVpfd5ftemTRsOHTpkMoz8xIkT3L592+Q8W7VqhY2NDb///rtapigKf/75J8WKFaNOnTp5GveziI+PN9s/bPny5SiKQtOmTdWygnTe2SEtKBZk+fLlgGF+CzB8IJ05cwaAwYMHA4ahpZ988gnt27endOnSxMfHs3//fs6ePcsLL7xgMmSvVq1atG3bloULFxIeHk7p0qXZtm0bQUFBvPPOO3l7chnIzLkDjBgxgvHjxzNx4kR69OihzrD5/PPPm/xh56dzf9rYsWOpVq0a1atXx9nZmcuXL7NlyxaKFy/OwIEDTeqOGzeO9957jzfffBM/Pz+uX7/O77//Tvfu3U1+cVm6/Px6ZcVHH32Evb09derUwcPDg5s3b7Jp0yYcHBxMOk5m9n1uydavX09UVJR6OeLgwYM8fPgQMMyk6+LiwmuvvcaePXuYMmUKffr0ITY2lt9++41KlSqZtDwWL16cvn378ttvv5GUlETNmjXZv38/Z86c4YMPPsDa2lqTczQno/OOjIxk+PDhtG/fnnLlygFw9OhRDh8+TNOmTWnVqpX6WPnpvHODTlEUResghEHr1q3T3LZv3z7A0BT8008/ceHCBUJDQ7GysqJ8+fJ0796dHj16pBoVEx8fr65vEhUVRaVKlRgxYoTJL3FLkJlzNzpz5oy6RomTkxNt27Zl9OjRqdYoyS/n/rRFixZx+PBh7t+/r/ZJaN68OUOGDMHT0zNV/f379+Pv709gYCBubm506dIl1Zw4+UF+fb2yYt26dezcuZO7d+8SHR2Nu7s7jRo1YsiQIZQpU8akbmbf55bq5ZdfJigoyOy21atXq8s43LhxI9VaPOPHj0/1Xtfr9axcuZKNGzcSEhJCmTJlePXVV+nYsWOun0tWZHTeLi4uzJ07l3PnzhESEoJer6d06dJ06NCBV155JdXfbX4579wgCYoQQgghLI70QRFCCCGExZEERQghhBAWRxIUIYQQQlgcSVCEEEIIYXEkQRFCCCGExZEERQghhBAWRxIUIYQQQlgcSVCEEEIIYXEkQRHp2rp1K61bt2br1q1ah5IpAQEBtG7dmqVLl+baMVq3bs2kSZNy7fELi5dffpmXX35Z6zAs3tKlS2ndujUBAQG5epw1a9bQrl077t+/n6n6efG3lp999tln9O3bl/j4eK1DybckQSlgvvjiC1q3bk337t1TLSpYUOS3L7aIiAh+/PFHBg0aRIcOHejQoQN9+/ZlypQpLFu2jNDQ0DyJI6Nkc9KkSekuOVCYxMbG0rlzZ1q3bs0333yjdTi5LjIykp9//pmuXbuqU9CLZzNkyBCCg4NZu3at1qHkW/lrsQ6RrpiYGHbv3o1Op+Px48fs378fPz+/Z3pMHx8fatWqhZeXVw5FWbg8fPiQcePG8fDhQ6pWrUqXLl1wdXUlJCSE//77j2XLllG3bl2za+wUdN9++63WIaRp9+7dxMTEoNPp+Pvvvxk/fjz29vZah5Vr1qxZw+PHj+nfv7/WoRQYZcuWpWXLlqxcuZLevXvj6OiodUj5jiQoBcg///xDbGwsL7/8MuvWrWPz5s3PnKC4uLjg4uKSQxEWPkuXLuXhw4cMHz7cZFVmo2vXrhXa57d06dJah5CmzZs3Y21tTa9evVi7di379u2jQ4cOWoeVK5KSkvjrr7+oW7euRb8m+VHHjh3Zt28fu3btonv37lqHk+9IglKAGD9UBwwYwLVr1zh58iRBQUGUKFHCpN7SpUvx9/dP83FKlCjBmjVrAMNlgZkzZ/Lee++ZLH/eunVrGjRowAcffMCCBQs4duwYCQkJ1K9fnylTplCqVClu3rzJwoULOX36NElJSTRp0oTXX3/dpLUgICCAyZMnM2TIEIYNG2YSx/379+nXrx+dO3dm2rRp6v2UMRiZ2//ixYssXLiQc+fOYWVlxXPPPceECRNSNWHv27eP3bt3c/HiRYKDg7GxsaFy5cr06dMHX1/f9J/0DJw7dw6AXr16md1euXJls+X37t3j119/5dixY4SEhODs7EyFChXo0qWL+jokJiayceNGDh06xM2bNwkPD8fZ2Zm6desyePBgqlWrpj7e559/zrZt2wCYOXMmM2fONDn/lM9lytvG597o2rVrrFixglOnTvH48WO8vLxo2bIlQ4cOxc3NTa2X8rUbMGAAixYt4vTp0zx+/FhdydZ4mc74XoMn7825c+cSHBzMb7/9xq1bt3BxcaFt27aMGTMmVUtGUlISq1at4q+//iI4OJhixYrRrVs32rVrxyuvvJLqHDJy69Ytzp49S4sWLUySfXMJSsr3b4sWLTL1fgPYu3cvv/zyCzdu3MDZ2ZmWLVsyduxYhg8fnuo5SU9mX4/0HD16lJCQEAYMGGB2e3x8PMuWLWPnzp1ERERQunRp+vTpk2r15ZTu3bvHihUrOHbsGGFhYbi6utKkSROGDRuW6vMIsvZ8GN/Lq1atYt++fWzevJl79+7h5+envs5hYWH88ssvHDp0iIcPH+Lk5ET9+vUZNmwYlSpVSnX8rNS/ffs2v/zyCwEBAYSEhODg4EDx4sVp2LAhEydONFlRvnnz5jg4OLBt2zZJULJBEpQC4ubNm5w7d45mzZrh6elJp06dOHHiBFu2bEn1xd2wYUOzjxEYGMju3bsz3ZQdGRnJ+PHj8fLyolOnTty5c4dDhw7xxhtv8PnnnzNhwgSqV69O165duXz5Mnv37uXx48fMnTs3W+fo4uLCkCFDWLduHQB9+vRJ85wuXrzIb7/9RsOGDenRowdXrlxh//79XL9+HX9/f5NzXLhwITY2NtStWxcvLy/Cw8M5ePAgH374IZMnT6Z3797ZihdQvyRu375NrVq1MrXPmTNneOedd4iJiaFJkyb4+fkRGRnJlStXWLdunZqgPH78mPnz51OvXj2aNWuGq6sr9+/f5+DBgxw5coT58+dTs2ZNwHCpLioqigMHDtCqVSuqVKlicswhQ4awbds2goKCGDJkiFpetWpV9faBAwf4+OOP0el0tGrViuLFi3Pz5k02bNjA0aNH+emnn3B1dTV53Lt37zJ27FgqVapE586defz4Mba2thk+B8bHbNmyJc899xxHjhxh/fr1RERE8OGHH5rUnTVrFtu3b6dUqVK89NJLJCYmsmbNGv77779MPd9P27x5MwCdOnXC29ubBg0aEBAQwL179yhVqpTZfbLyftu8eTOzZs3C2dmZTp064eLiwuHDh3njjTdISkrCxiZzH8vZeT3MOXHiBAC1a9dOtU2v1/Pee+9x/PhxKlWqRPv27Xn8+DHfffddmp8j58+f56233iI2NpYWLVpQpkwZgoKC2LlzJ0eOHGHBggUmz2N2n485c+Zw/vx5mjdvTosWLfDw8AAM77lJkybx6NEjnn/+eVq1akV4eDh79+7l2LFjfPvttyZ/i1mpHxwczOjRo4mLi6N58+a0a9eOuLg47ty5wx9//MG4ceNM4rW1taVatWqcO3eO2NhYucyTVYooEObPn6/4+Pgof//9t6IoihIdHa107NhR6dOnj5KcnJzh/qGhoUrfvn0VPz8/5cyZM2r5li1bFB8fH2XLli0m9X18fBQfHx9l/vz5JuWzZ89WfHx8lC5duihr1qxRy/V6vfL2228rPj4+ysWLF9XykydPKj4+PsqSJUtSxXTv3j3Fx8dHmTFjhkl53759lb59+5o9D+PjpXwujKZPn262/O7du6keJzo6Whk8eLDSpUsXJTY2NtW5T5w40ezxn7Zu3TrFx8dH6dGjh7JkyRLl5MmTSlRUVJr14+PjlV69eilt2rRRDh8+nGr7gwcPTOo+fPgwVZ3r168rHTt2VF5//XWT8rReS6OJEycqPj4+ZreFh4crnTt3Vnr16qXcv3/fZNvff/+t+Pj4KN9++61aZnzt0nptFcX867hkyRL1/RMYGKiWx8XFKQMGDFDatGmjPHr0SC0/fvy44uPjowwbNszkdXr06JHy4osvmn3/pCcxMVF58cUXlS5duihxcXGKoijK5s2bFR8fH2XRokWp6mf1/fb48WOlY8eOSseOHZVbt26ZHHfy5MmKj49Pms/JyZMn1bKsvh7pGTlypNKmTRslPj4+1Tbje+att95SkpKS1PKrV68q7dq1S/X6JiYmKn379lU6deqkXLp0yeSxTp8+rfj6+irvvPPOMz0fM2bMUHx8fJRevXopQUFBqWIeO3as4uvrqxw5csSk/NatW0qnTp2UwYMHZ7u+8e855WebUURERKoyRXny2XzixAmz20XaZBRPAZCUlMSOHTtwdnamVatWADg5OeHj48ODBw84fvx4uvvHx8czbdo0goKCePfdd6lbt26mjuvo6MiIESNMyox9Xtzc3ExaOHQ6nbrt2rVrmT637Kpfv36q/jddu3YF4MKFCybl5n4VOzk50aVLF6Kiorh48WK24+jVqxf9+/cnKioKf39/Jk+eTNeuXRk0aBA//vgjwcHBJvUPHDjAo0eP6NChA02bNk31eMWLF1dv29nZUaxYsVR1KlasSMOGDdVLazlh+/btREdHM2rUqFRN9H5+flSrVo1du3al2s/T05OBAwdm+Xh9+vShXLly6n17e3v8/PzQ6/VcunRJLd+xYwcAgwcPxsHBQS0vWrSoyfsvs/79919CQ0Np27at2urh6+uLg4MDW7duRa/Xm90vs++3AwcOEBsbS9euXSlbtqxabmNjk+pvKT3ZfT3MefToES4uLtjZ2aXaZrwsOGLECKytrdXyypUr07Fjx1T1Dx06RFBQEP379ze5xAhQr149WrZsyeHDh4mOjgae7fno378/3t7eJmWXL1/mv//+o1OnTjRp0sRkW9myZenevTvXr1/n+vXr2apvZK6VuUiRImbjNLbsPHr0KN3zEanJJZ4C4MCBA4SHh9OtWzeTP5xOnTqxY8cONm/enOqPz0hRFD7//HPOnTvH0KFDad++faaPW6ZMGZMvBUAd7VOpUiWTa7Eptz39pZwbqlevnqrM+GUeFRVlUh4WFsavv/7K4cOHefDgQap5C54lXp1Ox9ixY+nfvz+HDx/m/PnzXLx4kcuXL3Pz5k02btzI119/rTYhG7/Mnn/++Uw9/pUrV/jtt984c+YMoaGhqRKS8PBwihYtmu34jYx9ac6fP8/du3dTbU9ISCAiIoLw8HDc3d3V8ipVqmTqks7Tnv5ygyfJWcrX7+rVq4Dhy+9pderUyfJx//rrL8Dwt2Pk5OREq1at+Pvvvzl69CjNmjVLtV9m32/G5NxcvLVq1TJJAtKT3dfDnMePH5tNdI3xOjo6mj2/evXqqZfDno7r1q1bZudHCQ0NRa/Xc/v2bWrUqPFMz4fx8mVK58+fBwx/0+aOf+vWLfX/SpUqZbm+sZ/Rt99+y4kTJ2jatCkNGjRI89IfPElcIiIi0qwjzJMEpQBIec08pUaNGlGsWDEOHjzI48ePzWb4ixcvZvfu3bRv356hQ4dm6bjOzs6pyowfKOlty6lf9elxcnJK8/gpfwU/fvyYUaNG8eDBA+rWrUvjxo1xcXHBysqKq1evcuDAARITE585Hnd3dzp37kznzp0BCAkJYc6cOezdu5evvvqKZcuWAai/LNP6wkjp7NmzvP766wA0btyYMmXKqOd94MABrl69miOxg6G/EcDvv/+ebr24uDiT+8Zfj1mV3vsn5esXExODlZWV2Q6hWR26HRwczNGjRylVqlSqL8zOnTvz999/s2XLFrMJSmbfb8bX19zzktZ5mJPd18Mce3v7NOdMio6OTvO9aO75Nca1c+fOTMX1LM+HuX0eP34MGFrC/v333zT3jY2NzVb9kiVLsmDBApYtW8bhw4fZvXs3AOXKlWP48OG0bds21b7GHzwFeZh6bpEEJZ978OABx44dA0h3dtMdO3akavLeunUrK1asoG7durz77ru5GmdajK0sycnJqbYZP7xy0+bNm3nw4IHZYcC//PILBw4cyJXjenl58f777/Pvv/9y7do1IiIicHNzU4ccZ6Y5eMWKFSQkJPDdd9+l+kI1/jLMKcYvYH9/f7OjINLydCtaTnNyckKv1xMREZGqpSCrE+Bt3bqV5ORk7t27l+aEdQcPHsxUq0RajIlXWFhYqm3G88hMcprd18McNze3NN9vzs7Oaf7yN/f8GuP64osvaNGiRYbHfpbnw9x7y/h4me3cntX6YGgd/uyzz0hKSuLSpUscOXKEdevW8fHHH1O0aNFUl8iNSVB23zOFmfRByee2bduGXq+nXr16dOvWLdU/4y/2p5tiT506xddff02pUqWYMWOG2evPecE4ysDcZZQrV66Y3cfKyspsQpMdxuZxY9+dlM6cOZMjx0iLra1tqiZsY7O1MelMz7179yhSpEiq5CQuLo7Lly+nqm9lZfhzT+u5S2+78RKUsQnfUhhHI509ezbVtqyM4lEUhS1btgDQpUsXs39LderUITExUe33kh3GYeXm4r1w4UKm39c5+XpUqlSJhIQEHjx4kGpb5cqViY2NNen3Y2Tu7yOrceXU82Fk/PvJ7PGzWj8lGxsbateuzbBhw5g8eTKKonDo0KFU9W7fvg3wzIlkYSQJSj5m/FDV6XRMmzaNd955J9W/adOmUbt2ba5du6Z29rx9+zbvv/8+9vb2fPHFF5pm9uXKlcPJyUm9DGUUGhrKzz//bHafIkWKEBERkSNrXBg7GD79Ablz504OHz78zI+/atUqAgMDzW7bsGEDsbGxlCtXTm3KbtmyJcWKFWPnzp0cPXo01T4pf+l6e3sTGRnJjRs31LLk5GR++OEHwsPDU+1rvMT38OFDs/Gkt71r1644OTmxaNEik+MZxcXFaZK8GOcm8ff3N3k/hISEqMPRM+PUqVPcvXuX+vXr895775n9WzK2Mj6d7GdFq1atcHR0ZPPmzSZ9R5KSkliyZEmmHycnX48GDRoA5lvdjJeNFy9ebJIsXLt2zWyi1qpVK7y9vVm9ejWnTp1KtT0pKckkscmp58OoVq1a1KpVi127dpntJKzX603iymr9S5cumW3ZNbYmmfuhd/78eby8vEw6AYvMkUs8+djJkye5f/9+hp20unbtyrlz59i8eTM1atRg3rx5PH78mMaNG/PPP/+kqu/i4pJna93Y2trSu3dvVqxYwYgRI2jZsiWxsbEcPHiQBg0amO0A2LBhQy5evMjUqVOpV68eNjY21K9fX/2gzYqOHTuycuVK5s6dS0BAAN7e3ly9epWTJ0/SunVr9u3b90znt2PHDn744QcqVapErVq18PDwIDIykvPnz3P58mXs7e1588031fp2dnZ88sknvP3227z99ts0adKEKlWqEB0dzdWrV4mPj1c/uHv3/r/27i6kqT+O4/jbVVsPzISc+RAW9ADSYHRqjdQIhxcVlYM/u/FGS4KoYQ9QRJThoKCnGym6aQm2EsG6EC3DWYpwcrbFsFFXQVChzSJkEtQa/i9kw39boebfTfq+rn+wc37nMD7n9/D9/cPz5885cuQIZWVlaLVaAoEAnz59YtOmTQmHy23cuBGdTkdrayvhcDgeTGNTW4qi0NPTw7lz57BYLGi1WtatW0dJSQlZWVmcP3+euro6Dhw4wNatWyksLCQSiTA8PEwgEMBoNHL16tU/6q/p2rJlC+Xl5Xg8HqqrqyktLSUSifD06VOKiopQVTU+MvQ7sdAR23mTTGFhIUajkWAwyKtXr6Zc12YyvV6Pw+HgypUrHDx4EKvVyrJly+jv70er1ZKdnT2labHZfB6lpaXcuHEDn8+XsIYitvbG6/VSU1ODxWIhHA7T3d2N2WxOGDHQarU4nU5OnTpFbW0tiqLEF8wPDw8zODjI8uXLcbvds9ofk9XV1XHs2DHq6+tpbW1l/fr16HQ6QqEQwWCQ0dFRPB7PjNo/fvyYtrY2TCYTBQUFLF26lLdv3+L1esnMzEx4fz58+MDQ0BA2m21a9yAmSECZx2J/qpMrvCZjtVppaGigu7sbh8MR/9L0+XxJtyDn5ubO6WF8NTU1LFy4kI6ODtra2sjNzaWqqori4mJ6e3sT2ldVVTE2NoaqqgwODhKNRqmurp5RQMnJyaGhoYGbN2/i8/mIRqNs2LCBa9euEQqF/jignD59GlVVefHiBQMDA3z58gWNRsPKlSux2WzY7faELyuj0citW7dwu90MDAzg9/vR6/WsWbOGioqKeLvi4mKcTidut5uuri50Oh2KonDhwoWklYIzMzNxOp00NjbS3t4efw9iAWXPnj0MDQ3x5MkT7t27RzQaZefOnZSUlAATVTFdLhfNzc34/X58Ph+LFy/GYDCwa9eupNtO58KZM2dYvXo1Dx8+5MGDBxgMBux2O4qioKpq0gWsk42NjdHb28uSJUvYsWPHb9vu3r2bYDBIR0fHjAIKwN69e9Hr9dy5c4fOzs545dRDhw5ht9unXG5+tp5HXl4eZrOZnp4ejh49+p9RAI1Gw8WLF2lsbMTj8XD//n3y8/NxOBysWrUq6ZRGUVERt2/fprm5mf7+foLBIIsWLSI7O5vt27cnbMeerf6Iyc/Px+Vy0dLSQl9fH48ePUKj0bBixQpMJlNCdejptC8vL+f79++8fPmS169fE4lEMBgMVFRUJN32HBtl2rdv37TuQUzIGB8fH0/1RQghxGxrb2/n8uXLnDhxYl58wb5//57KykrKysqor6+f09/2+/0cP36cs2fPpixo/iyV/TEbfvz4QWVlJXl5eTOunv23kzUoQoh57fPnz/z8nTUyMkJTUxMLFixg27ZtKbqy5MLhcMK23m/fvnH9+nVg4liCubZ582YsFgtNTU2/LEb3f0nH/pgNnZ2dfPz4kcOHD6f6UuYtmeIRQsxrd+/e5dmzZ5hMJrKysgiFQqiqytevX9m/f3/CsHuqBQIBLl26hNlsJicnh9HR0fjBnoqiYLVaU3JdtbW1dHV1MTIyMqd9lq798acyMjI4efJk0iJ3YmpkikcIMa95vV5aWlp48+YN4XAYrVbL2rVrsdlsSU8gTrV3797hcrkIBoPx3VYFBQXx05f/toJe0h/iVySgCCGEECLtyBoUIYQQQqQdCShCCCGESDsSUIQQQgiRdiSgCCGEECLtSEARQgghRNqRgCKEEEKItCMBRQghhBBpRwKKEEIIIdKOBBQhhBBCpJ1/AZSUt9WYsomeAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Polarization angle bin: 15.0 deg to 30.0 deg\n", + "Modulation: 0.31 +/- 0.004\n", + "Best fit polarization fraction: 1.0 +/- 0.018\n", + "Best fit polarization angle: 175.396 +/- 0.344\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Polarization angle bin: 30.0 deg to 45.0 deg\n", + "Modulation: 0.307 +/- 0.004\n", + "Best fit polarization fraction: 1.0 +/- 0.018\n", + "Best fit polarization angle: 10.124 +/- 0.367\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Polarization angle bin: 45.0 deg to 60.0 deg\n", + "Modulation: 0.309 +/- 0.004\n", + "Best fit polarization fraction: 1.0 +/- 0.017\n", + "Best fit polarization angle: 25.51 +/- 0.349\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Polarization angle bin: 60.0 deg to 75.0 deg\n", + "Modulation: 0.307 +/- 0.004\n", + "Best fit polarization fraction: 1.0 +/- 0.018\n", + "Best fit polarization angle: 40.702 +/- 0.364\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Polarization angle bin: 75.0 deg to 90.0 deg\n", + "Modulation: 0.312 +/- 0.004\n", + "Best fit polarization fraction: 1.0 +/- 0.017\n", + "Best fit polarization angle: 55.409 +/- 0.329\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Polarization angle bin: 90.0 deg to 105.0 deg\n", + "Modulation: 0.313 +/- 0.003\n", + "Best fit polarization fraction: 1.0 +/- 0.014\n", + "Best fit polarization angle: 70.287 +/- 0.271\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Polarization angle bin: 105.0 deg to 120.0 deg\n", + "Modulation: 0.312 +/- 0.003\n", + "Best fit polarization fraction: 1.0 +/- 0.016\n", + "Best fit polarization angle: 85.277 +/- 0.312\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Polarization angle bin: 120.0 deg to 135.0 deg\n", + "Modulation: 0.306 +/- 0.004\n", + "Best fit polarization fraction: 1.0 +/- 0.021\n", + "Best fit polarization angle: 100.21 +/- 0.429\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Polarization angle bin: 135.0 deg to 150.0 deg\n", + "Modulation: 0.309 +/- 0.004\n", + "Best fit polarization fraction: 1.0 +/- 0.018\n", + "Best fit polarization angle: 115.465 +/- 0.373\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Polarization angle bin: 150.0 deg to 165.0 deg\n", + "Modulation: 0.308 +/- 0.004\n", + "Best fit polarization fraction: 1.0 +/- 0.017\n", + "Best fit polarization angle: 130.659 +/- 0.332\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Polarization angle bin: 165.0 deg to 180.0 deg\n", + "Modulation: 0.309 +/- 0.004\n", + "Best fit polarization fraction: 1.0 +/- 0.019\n", + "Best fit polarization angle: 145.507 +/- 0.353\n" + ] + }, + { + "data": { + "image/png": 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P8vwAxk52JUqUSPN5b968SXh4uEmCUqxYsXQ/GNLaHhoaCjzpoJcW4xwbxvkSSpUqlW79zDAee/v27Wzfvj3DYxtfm+LFi5ut5+Pj88wxZcTNzY2QkBAiIiLUfgApGWM0vjfG/6fVedJYnlHfDYDY2FiGDh1Kz5496d27N9u3bycwMJAVK1bw0ksvAYbO2e+//z5Xr141m8SZU65cuQznqcnMdQmkO58GwKFDh2jbti1JSUm0a9eOHj16UKRIEaysrDh58iR//fWX2Y7gGV3faUlOTqZfv34EBgYyc+ZM+vXrZ7LdeA1evnw53eQ25Rwz6V2HNjY2JolEZixYsABFUVJNMGhjY8Mrr7zCV199xdKlS3n77bdT7evu7k6/fv3U84qOjuazzz5j+vTpjB07lh49epjEOX/+fIBUx6pVqxYNGzbk+PHjHDt2jEaNGmXpHMAw9BmgaNGiWd5X5A4ZxSPMatmyJWAY9ZAVxi+04OBgs9uNPeSf7hiZ0Yd3WtuNz3Pq1CkUwy1Ls/8NHjwYePJFmhMTMxmPPWfOnHSPbRzhYqxvHCX0tLRes5xUtWpV4EnLUkr37t0jOjqa0qVLq50wnZ2dKVWqFFFRUWZHN1y+fBkwtI5l5H//+x+hoaF8//33wJOWpZQdmBs2bAjAuXPnsnJaGcrudfm06dOnExsby7Zt29i8eTOzZ8/m448/5sMPP0y3g2Z2f5WPHTuWTZs2MXz4cLNzdBjjfemll9K9Bq9fv55qH3PXYVJSEiEhIZmOL+VInalTp6YabWQcoZXRDwgjZ2dnPvnkE1q2bEl8fDwHDhxQt50+fZojR44A0Lx581THOn78OPAkicmqXbt2AWS7o63IeZKgCLNee+01bG1t+f333zP8skj5i9E4sZK5abuvXLnC7du3qVChQqZ+cWdGs2bNAMOtg8xo0qQJVlZW7N27l+jo6AzrG5u7k5OTn/nYrq6uVK5cmTt37pidUC0vpjo33uIwNzTceEvm6dsg2dnnaUeOHGH27NnMmTMn1S/3lNfP07dLckp612V4eDgnT57EwcGB6tWrp/s8V65cwdPT0+wIm5wehfXVV18xb948OnbsyA8//GC2TrVq1XB3d+fQoUMkJiZm6nmNCaG5ePfv32/2Wk/LX3/9xYMHD6hatSpDhw41+1/FihW5dOlSll4fV1dX4MltF3iSePj7+6d5LEdHR1auXJnlWYn/+ecfDhw4gKOjo9qaJyxA3nV3EfmNccRJ+fLllaNHj5qts3nzZqVNmzbqY+MIgfLlyysPHjxQy5OSkpQXXnhBAZTp06ebPEdGE0Oltz0kJERxd3dXihYtqhw+fDjV9uTk5FSdDwcMGJDpUTyTJk1SAOWff/4xe3w/Pz/FyspKWbRokdntp0+fNpmczPia9urVS5NRPNeuXcv1idqeFh8fr9SoUUPp1q2bSfn27dsVQPnoo4/UMuOEbuY6ET8tvVE85ura2toqbm5uyuXLl022jRkzRgGUYcOGmZSb6yTbqVMnBVBOnTplUr5w4UK1o+eSJUtMtmV0fZvrJPv7778rVlZWSu3atTPsNPy///1PvZ6fHkGkKIZJz1KOcNu/f3+OjeLp0KGDAiirV69Os47xtRkwYIBa9vnnnyv//fef2fr79u1THBwcFBsbG+XOnTuKoihKTEyM4u7urlhbW6tl5rz66qsKoMyfP18ty2iitt9//12dqO3zzz/P6JRFHpIERaTro48+UqysrBRAadGihTJu3Dhl2rRpytChQ5UqVaoogNKoUSOTfSZPnqwOPR09erQyadIkpVatWgqgtGzZUomPjzep/ywJiqIoyo4dOxRXV1dFp9Mp7du3V8aPH69MmDBB6dWrl1KyZEnF3t7epH5YWJhSp04dBVCqVaumjB8/Xpk0aZLSu3dvxdXV1eSLYsuWLeqH+eTJk5VPPvlE+fbbb9Xtt27dUl+HunXrKiNGjFAmT56sDBgwQD3nf//9V60fFxenNG7cWK0/efJkZcSIEYq7u7vSo0ePLCcoCxYsUAYPHqwMHjxY8fX1VQClTp06apm5mTHnzp2rAIqXl5cyevRoZcKECUrp0qUVQJk4caLZ47z11lsKoJQuXVqZMGGCMnr0aMXLy0sBTF4Pc959913Fzc1NuX37tkm5Xq9XGjZsqFhbWytDhgxR+vbtqwAmI07Sk5UERVEU5fvvv1eHtg4dOlR55513lObNm6vXQcova0Uxn6Bs3rzZ5DneeustpVWrVoqVlZU6nDonEhRHR0eF/59p1ThCKeV/KY+RkJCgXjulSpVSBg4cqLzzzjvKkCFD1AT66etg7NixCqCUKFFCGTt2rPLWW28plSpVUho1aqSUKFEiU6/ptWvXFJ1Op3h7e6f6N51SZGSk4uLiotjb26uvcd26ddXXPSAgQJk6daoybtw4pV27dopOp1MA5auvvlKfw5h8P//88+nGtHv37lSfScbXt3Xr1urrN3nyZOXVV19VKlSooACKvb29MmvWrAzPWeQtSVBEhs6dO6eMGTNGqVmzpuLq6qrY2toqPj4+SufOnZWFCxeaDM00WrlypeLr66t+MNWoUUOZPn26ydBAo2dNUBTF8GX1xhtvKJUrV1bs7e0VV1dXpWrVqsqrr76q/PHHH6nqR0VFKdOnT1dq166tODo6Ki4uLkr16tWV8ePHm7R4KIph+Gi1atUUOzs7s1+Ijx8/VmbMmKE0aNBAcXZ2VhwcHJTy5csrXbt2VX766adUw5kjIiKUN998U02eqlatqnz55ZfK1atXs5ygGIdBp/Vf69atze63fv16pVWrVoqLi4vi5OSkNGrUSFm6dGm6x1qyZInSqFEjxcnJSXFxcVFatWqlbNiwId19AgMDFRsbmzTn07l165bywgsvKM7Ozoqbm5syePDgLA8zzsqQ2K1btyodOnRQ3N3dFTs7O6VSpUrKpEmTlEePHqWqm9Yw4w0bNihNmzZVXFxcFDc3N6VDhw7Knj171C/RnEhQ0ntPzb2ver1eWb58udK2bVvFw8NDsbW1VUqWLKn4+voqM2bMUG7evJmq/rfffqte1yVKlFBGjx6thIeHZ3qq+2nTpimA8uabb2ZYd/jw4QqgfP3114qiKMqJEyeUTz75RGnTpo1Svnx5xcHBQbG3t1cqVqyoDBgwQNm3b5/J/i1atFAA5a+//srwWM8995wCKIGBgYqiPHl9jf/pdDrFxcVFKVu2rNKlSxfls88+S5U8C8ugU5QUN/mEEEIIISyAdJIVQgghhMWRBEUIIYQQFkcSFCGEEEJYHElQhBBCCGFxJEERQgghhMWRBEUIIYQQFidfJihxcXFcvHgx16bFFkIIIYS28mWCEhQUxPDhwwkKCtI6FCGEEELkgnyZoAghhBCiYJMERQghhBAWRxIUIYQQQlgcSVCEEEIIYXEkQRFCCCGExZEERQghhBAWRxIUIYQQQlgcSVCEEEIIYXEkQRFCCCGExZEERQghhBAWRxIUIYQQQlgcSVCEEEIIYXEkQRFCCCGExZEERQghhBAWRxIUIYQQQlgcSVCEEEIIYXEkQRFCCJFlMY/iOL72MjGP4rQORRRQkqAIIYTIspjweALXXSEmPF7rUEQBJQmKEEIIISyOJChCCCGEsDiSoAghhBDC4kiCIoQQQgiLIwmKEEIIISyOJChCCCGEsDiSoAghhBDC4kiCIoQQQgiLIwmKEEIIISyOJChCCCGEsDg2Wd0hJiaGVatWce7cOc6fP09kZCRTp06lS5cumX6OY8eOsWLFCi5duoRer6dMmTK8/PLLtGvXLqvhCCGEEKIAynKCEhERwdKlSylevDiVK1cmMDAwS/tv2rSJWbNm0ahRI4YPH461tTU3b97kwYMHWQ1FCCGEEAVUlhMULy8v/vjjD7y8vLhw4QIjRozI9L737t3jm2++oWfPnowfPz6rhxZCCCFEIZHlPih2dnZ4eXll62B//fUXer2eoUOHAobbRYqiZOu5hBBCCFFw5Wkn2ePHj1O2bFkOHTpEr1696Ny5M927d2fhwoXo9fq8DEUUQjGP4ji+9jIxj+K0DkUIIUQGsnyL51ncvn0bKysrPvvsM15++WUqVarE3r17Wb58OcnJyYwcOdLsfiEhIYSGhqqPg4KC8ipkUYDEhMcTuO4K5RoWw8nDQetwhBBCpCNPE5TY2Fj0ej0jR47klVdeAcDf35/IyEjWrl3LwIEDcXJySrXf+vXrWbp0aV6GKoQQQggN5WmCYm9vT2xsLO3btzcpb9euHYcPH+bSpUvUq1cv1X49evTA19dXfRwUFMT06dNzO1whhBBCaCRPExQvLy9u376Nh4eHSbnxcWRkpNn9vL298fb2zvX4hBBCCGEZ8rSTbNWqVQFDn5KUjI/d3d3zMhwhhBBCWKhcS1BCQkIICgoiKSlJLWvbti0AGzduVMv0ej2bN2+mSJEiagIjhBBCiMItW7d4fv/9d6KiotSRNQcOHFBngu3VqxcuLi7Mnz+fLVu2sHr1akqUKAFAy5YtadiwIT///DPh4eFUrlyZffv2cfr0ad5++23s7Oxy6LSEEEIIkZ9lK0FZvXo1wcHB6uO9e/eyd+9eADp27IiLi4vZ/XQ6HTNmzGDhwoX8888/bNmyhTJlyvDee+/RsWPH7IQihBBCiAIoWwnKmjVrMqwzbdo0pk2blqrcycmJcePGMW7cuOwcWgghhBCFQJ52khVCCCGEyAxJUIQQQghhcSRBEUIIIYTFkQRFCCGEEBZHEhQhhBBCWBxJUIQQQghhcSRBEUIIIYTFkQRFCCGEEBZHEhQhhBBCWBxJUIQQQghhcSRBEUIIIYTFkQRFCCGEEBZHEhShuZhHcRxfe5mYR3FahyKEEMJCSIIiNBcTHk/guivEhMdrHYoQQggLIQmKEEIIISyOJChCCCGEsDiSoAghhBDC4kiCIoQQQgiLIwmKEEIIISyOJChCCCGEsDiSoAghhBDC4kiCIoQQQgiLIwmKEEIUIDIzsygoJEERQogCRGZmFgWFJChCCCGEsDiSoAghhBDC4kiCIoQQQgiLIwmKEEIIISyOJChCCCGEsDiSoAghhBDC4kiCIoQQQgiLIwmKEEIIISyOJChCCCGEsDiSoAghhBDC4kiCIoQQQgiLIwmKEEIIiyYLIBZOkqAIIYSwaLIAYuEkCYoQQgghLI4kKEIIIYSwOJKgCCGEEMLiSIIihBBCCIsjCYoQQgghLI4kKEIIIYSwOJKgCCGEEMLiZDlBiYmJYfHixbz99tt069aNVq1asXnz5mwd/PPPP6dVq1ZMmTIlW/sLIYQQomDKcoISERHB0qVLCQoKonLlytk+8IULF9i8eTN2dnbZfg4hhBBCFExZTlC8vLz4448/+O233xg1alS2DqooCnPmzKFTp054enpm6zmEEEIIUXBlOUGxs7PDy8vrmQ66detWrl+/zvDhw5/peYQQQghRMOV5J9mYmBh+/PFHXn311WdOdIQQQghRMNnk9QGXLl2Kvb09ffv2zfQ+ISEhhIaGqo+DgoJyIzQhhBBCWIg8TVBu3brF2rVref/997PUOXb9+vUsXbo09wITQgghhEXJ0wRl7ty51KpVC39//yzt16NHD3x9fdXHQUFBTJ8+PYejE0IIIYSlyLME5fjx4xw+fJjp06dz7949tTw5OZn4+Hju3btHkSJFcHZ2TrWvt7c33t7eeRWqAGIexXF+5y2qtyuDk4eD1uEIIYQoZPIsQXnw4AEA7733XqptDx8+pF+/fowZMyZLfVNE7okJjydw3RXKNSwmCYoQQog8l2sJSkhICNHR0ZQqVQobGxsaNGjAjBkzUtX74osv8PHxYeDAgVSsWDG3whFCCCFEPpKtBOX3338nKipKHVlz4MABtYWkV69euLi4MH/+fLZs2cLq1aspUaIExYsXp3jx4qme69tvv8XDwwM/P79nOA0hhBBCFCTZSlBWr15NcHCw+njv3r3s3bsXgI4dO+Li4pIz0QkhhBCiUMpWgrJmzZoM60ybNo1p06blyHMJIYQQonDJ85lkhRBCCCEyIgmKEEIIISyOJChCCCGEsDiSoAghhBDC4kiCIoQQIkv0eoWH1yIAeHgtAr1e0TgiURDl+WrGQggh8q/rR4I5tPw80WFxABxYdJaTf1yl2aDqVGjio3F0oiCRFhQhhBCZcv1IMDtnB6rJiVF0WBw7Zwdy/UhwGnsKkXWSoAghhMiQXq9waPn5dOscWnFebveIHCMJihBCiAwFXwhL1XLytOjQOIIvhOVRRKKgkwRFCCFEhmLD43O0nhAZkQRFiFwQ8yiO42svE/Mo/V+cQuQXju72OVpPiIxIgiJELogJjydw3RVi5NekKCB8qnni7OmQbh1nLwd8qnnmUUSioJMERQghRIasrHQ0G1Q93TrNBlbHykqXRxGJgk4SFCGEEJlSoYkP7SbUT9WS4uzlQLsJ9WUeFJGjZKI2IYQQmVahiQ/lGhXn4q5bHFh0Ft+hNanapoy0nIgcJwmKsFgRcRHsu7mPI3eOcCP8BiExIQC42rtSwb0CdYvXpU2FNvi4yK82IXKDXtFz+v5p9gXt41LoJW49vkVCcgI2VjZ4UZQYD2vKFrGnCiWxkq8TkcPkihIWJUmfxF8X/mLxycVsvbKVZCU5w32alW7GkHpDeKXOKzjZOuVBlEIUbFfCrrDg+AKWn15OcFQ6s8MWgzWbFuC925uXa73MiIYjqFWsVt4FKgo06YMiLIKCwrrra6n5Q016/9abTZc3ZSo5ATh0+xAj/h5BxTkVmX1oNvFJMnJGiOy4EX6DgD8DqPpdVT4/+Hn6yUkKITEhfHvkW2rPq02vNb04/zD9GWeFyAxpQRGau/r4Cl+VnsrFfadNyssUKcOL1V6kdbnWVC9aneLOxdHpdITFhnEp9BIHbh5gw6UNnHlwBoD70fd5c+ubzD8+n/nPz6dl2ZZanI4Q+U6SPolv/v2G93e/T1zSk7l7bK1s6VS5Ex0qdqBhiYaUdy+Pk60TcUlxnLlwnuWL1xHR5Bbb72wlPtnww2Dd+XVsuLiByb6Tea/VezjYpD80WYi0SIIiNLXs5HJe3zCSOOcnH4qtyrViWstpdKjUAStd6kY+T0dPKntWpmuVrkxvO53j947zxcEvWHN2DQDnQ87Takkr3vV7lw/9P8TayjrPzkeI/ObO4zv0XduXg7cOqmUeDh5MbD6R4Q2HU8y5mNn9bL2duBkRz4v+LbAtAYsDF6utLon6RGbsm8Hfl/5mde/VVPWumlenIwoQucUjNJGQnMCAxYMI+GswcXpDcuKVUJxJEZ+ypPoqOlXuZDY5eZpOp6NRyUas7r2aEyNO0LhkY8Bwy2j6vul0/Lkjj2If5eq5CJFf7bmxhwbzG6jJiQ4d45uO59r4a7zb6t00k5OnuTm48WbzN7k67irv+b2HrZUtAKfun6Lh/Iasv7g+185BFFySoIg8F5UQRfsfO7Ly1gq1zC+8Ex/dmMdzwfX4Z87JbC3bXr9Eff4d+i+ftfsMa52h1eSf6//QcklLgh7d5OG1CAAeXouQFVdFobfyzErar2jPg+gHAJR1K8uBIQeY3Xk27g7u2XpOJ1snPmn7CcdHHKe6t2FSt+jEaF5a/RLfH/k+p0IXhYQkKCJPhcaE0m5ZO/aF7AHAVm/Ha/feYtD98dgrT+5VZ3fZdmsra6a0nMLugN3qr79zD8/R4JuGrF2xBYADi86yetzubCVBQhQE847O45V1r5CkTwKgY6WOHB9xnOZlmufI89cuXpujw4/Sv1Z/wDBceczmMXyw64MceX5ROEiCIvJMRFwEHVZ04MjdIwA4Jbvw1u0ZtHjcPlXdZ122vWXZlhwccpByThUACLMO4evS03hge8/w/GFx7JwdKEmKKHS+P/I9ozeNRsHwA2BEgxFsGrAJbyfvHD2Os50zv/T8hSm+U9Syj/d+zPS903P0OKLgkgRF5ImYxBi6r+xOYHAgAG5JHky6OYvKsTXT3OdZl22v4F6RqTe/omxcJQDCbUP5qsw7hNo8UOtkt6VGiPzo1zO/MmbzGPXxFN8p/Nj9x1zrSG6ls+Kz9p8xu9Nstex/u/7Hlwe/zJXjiYJFEhSR65L0SfT5rQ/7b+4HwNPOi4m3PqN0QoV093vWZduDL4RhHerAhNvTKRlfDoAw24fMKf0+MVbRwLO31AiRGTGP4ji+9jIxj+IyrpxLNl/ezOA/B6uPp7acymftP0Ony/0p6sc3G8+XHZ4kJZO2T2L1f6tz/bgif5MEReS6ydsns+nyJgCK2Bdh66CtVHapku4+ObFsu7EFxjXZjbduzaBYQkkA7tnfZH7Jz0gm2aSeELklJjyewHVXiNHoWjv38Bz91vZT+5y83vB1ZrSdkacxTGwxkU/afKI+HvznYJOhzUI8TRIUkasWnVjEN4e+AcDGyoa/+v9Fo1IN82TZ9pQtMG7Jnoy//THOya4AnHU+zupi81PVE6KgCYsN44VVLxCZEAlAr+q9+K7rd3nScvK0d/3eZWj9oQDEJ8fzwqoXuBlxM8/jEPmDJCgi1xy7e4xRG0epj3/o+gP+5f2BvFm23aeap8nzF0ssyeg772GtGOYn3OWxgZMlDzxzS40QlkKvV0yG0yclJ/Py7y9zJewKAPV86rHsxWWaTV6o0+mY120ebSu0BQxT5Pf9rS8JyQmaxCMsmyQoIldExEXQb20/EvWJAIxtMpbhDYeb1KnQxId+c/3xHWroKOs7tCb95vjnSHICYGWlS9VS81xsbV65/4b6eIn7N1wKu5gjxxNCS9ePBLN63G4OLDoLGIbTD3zndbZd3QZAUaei/NX/L5ztnLUME1trW9b2WUt59/IAHL5zmEnbJmkak7BMkqCIHKcoCiP/Hsm1R9cAw2rDX3X8ymxdKysdRSu6AVC0otsz39Z5mrmWGr+ITrSK6wRATHIMfX7rQ0xiTI4eV4i8dP1IMDtnBxId9qQT7lWHC6xxXgwYZohd3Xs1Zd3KahWiCQ9HD9b2WYudtR0Ac4/MZd35dRpHJSyNJCgixy0KXMTqs4Ye+m72bqzstRJba1vN4jHXUrPxw9+pWdTw+L8H//Huznc1i0+IZ6HXKxxabrp6cIxVNAtKzEKv0wPwQswrtC7nr0F0aWtYsiFzO89VH4/YMCLTqyeLwkESFJGjrj+6zoQtE9THi3osUptytfR0S42LvTNr+qxRV1qdfXg2u2/s1jBCIbIn+EKYScsJwMpi8wi1uw9ApdjqdL7VzyKH049oOIKe1XsCEBobyogNI1AUmZdIGEiCInKMoigM2zCM6ETDHCMjGoygV41eGkeVthpFa/Bp20/VxwF/BhAZH6lhREJk3dPD5M84H+WQ2z8AOCY7M/zuZKyxtsjh9Dqdjh+7/aguS7Hh0gaWnFyicVTCUkiCInLM/OPz+ee64YOxrFtZvuxo+bNFjm82nlblWgEQFBHEW1vf0jgiIbIm5TD5GKtoVhT/Vn3c78FwvJKKp6pnSYo6F2XB8wvUx+O3jJehxwKQBEXkkJsRN5m0/UlP/AXPL8DV3lXDiDLHSmfFkheW4GxrGNmwMHAhe4P2ahyVEJmXcjj970UX88g2BIAa0Q1o8bgDkDMTH+amHlV7MKTeEMCw2vm4zeM0jkhYAklQRI4Yu3msOhHU0PpD6Vipo8YRZV5Fj4rMaj9LfTxq4yiZl0HkG8bh9BcdT7PXfTMA9npHBgWPRYdhVFxOTHyY277q9BXFnQ2tPX9d/Iu/LvylcURCa5KgiGf296W/WX9xPQAlXEqkOaTYkr3e6HUal2wMGKYF//rfrzWOSIjMK93Qi79qLFYf93r4Gl5JxXN04sPc5u7gzuzOs9XHYzePJSohSruAhOYkQRHPJDYx1qQ59utOX+Pm4KZhRNljbWXNj91/xEpn+Cfx8Z6Puf7ousZRCZE53x35jstRlwCo7VKX1uFdc3ziw7zQr2Y/tfX11uNbfLDrA40jElqSBEU8k88PfM71cMMXeZvybehXs5/GEWVfgxINGNfEkGzFJsXy5tY3NY5IiIzdi7zHB7sNX+Q6dHzV6hussMqViQ9zm06n44euP6jD/+ccnsP5h+cz2EsUVJKgiGy7/ug6M/fPBAwLAWq1AFlO+rjNx5RwKQEY7oPvur5L44iESN/kHZPV/l/DGgyjvncDjSN6NpU8KzG15VQAkpVkJm5722R9Ib1e5kkpLCRBEdk2dedU4pMNcytMaDqBGkVraBzRs3O1d+XTdk/mRnlr21sk65M1jEiItB2+fZifT/8MgKejp8m1m5+93eJtyhQpA8DmK5v4aeUywLC+0Opxu7l+RGacLQwkQRHZcuTOEXU6+6JORflf6/9pHFHOGVR3EA1KGH6Fngw+yfJTyzWOSIjUFEVh8o7J6uOP/T/G28lbw4hyjpOtExMrTFUfrym2gGQMPxSiw+LYOTtQkpRCQBIUkWWKovD2trfVxx+0/oAi9kU0jChnWemsTEYivfvPuzKaQFicDZc2qHP2POf1HCMajtA4opyj1ysU3VGVirHVALhnf4u97ptM6hxacT7Hb/fEPIrj+NrLxDyKy7iyyHWSoIgsW39xPftu7gMK3gejkX95f16s9iIA96Lu8fmBz7UNSIgUkvRJTNkxRX38WbvPNF2QM6cFXwgjJiye/g9GqmUbvFYSp4tVH0eHxuX4+kIx4fEErrtCjAUuC1AYZTlBiYmJYfHixbz99tt069aNVq1asXnz5kzte/z4cT777DMGDBhAhw4d6NevH7NmzSIkJCTLgQttJCYnFugPxpQ+b/85tlaGc/v636+5H3Vf44iEMFgcuJgLIRcAaFGmhZpMFxTGdYMqxFWl4eOWAETahLPT4y+z9UTBlOUEJSIigqVLlxIUFETlypWztO+PP/5IYGAgfn5+jB8/nnbt2rFr1y6GDRtGaGhoVkMRGlgcuJiLoRcB8C3jW+A+GFOq4lWF1xu9DkB0YrQ6YkkILUUlRKnDigG+6PBFvh8997SU6wa9GDIIK8XwVbXVcy1RVo/N1hMFT5YTFC8vL/744w9+++03Ro0alaV933jjDVauXMmoUaPo3r07I0aM4LPPPiMsLIx169ZlNRSRx+KT4pm+b7r6+MuOXxa4D8anTfObhqONIwDzjs3jVsQtjSMShd33R74nOMrQQbRn9Z60KNNC44hyXsr1hXwSS+MbYVhTKNY6hi1evwGWv76QeHZZTlDs7Ozw8vLK1sHq1auHlZVVqrIiRYoQFBSUrecUeWfhiYXcfnwbgO7PdadZ6WYaR5T7fFx8GNfUMHlbQnICn+z9ROOIRGEWGR/JFwe/AAyduWe0naFxRLnDuL6QUffQV7DRG263/uO+gUc2IflifSHxbDTvJBsTE0NsbCxubvlvevTCJDYxlk/3P5lj4SP/jzSMJm9N9p2sjlJaHLiYK2FXNI5IFFbfHfmO0FjD7fCXa71MNe9qGkeUeyo08aHdhPo4ezrgmeRNm/DuACRaJRDovz1fTeEvskfzBOW3334jMTGRtm3bplknJCSEixcvqv9Ja0vem398Pncj7wLwYrUX1XlCCgNPR08mNp8IGGa2/HD3h9oGJAqlx/GP+fLfLwFD68n7rd/XOKLcV6GJD/3m+uM7tCZdwvribO0CwNo7q+R2ayGgaYJy8uRJli5dSps2bWjYsGGa9davX8/w4cPV/6ZPn55mXZHzYhJjTDqIftj6Q+2C0ciEZhPwcjTc2vz1zK9cDLmocUSisPn28LeExRqG1b5S+xWe83pO44jyhpWVjqIV3XBNdmN4DcOw40R9ogz9LwQ0S1CCgoJ47733qFixIlOmTEm3bo8ePViwYIH633vvvZdHUQqAeUfncT/aMMS2d43e1PWpq3FEea+IfREmtZgEgILCZwc+0zgiUZhExEXw1b+GyQOtddb8r1XBmbk5K16vPhpnW2cAFpxYwL3IexpHJHKTJgnK/fv3mThxIs7OzsyaNQsnJ6d063t7e1O1alX1v3LlyuVRpCImKYZZB2YBhpVSP2hdeJc/H9V4FO4O7gCsOLWCG+E3NI1HFB5zD8/lUdwjAAbWHUgVryoaR6QNLwcvRjceDUB8crzaYVgUTHmeoERERDBx4kQSExP58ssv8fYuGGtHFFQ/X17Ow5iHAPSt2ZdaxWppHJF2itgXYXzT8YChL4o0MYu8EBkfyTeHvgEMrSfv+RXuFuSJzSeqQ/9/PPYjD6IfaByRyC25lqCEhIQQFBREUlKSWhYbG8vkyZMJCQnh888/p0yZMrl1eJEDkkjih7PfqY+n+U3TMBrLMK7pOFzsDB31FgcuVjsOC5FbFpxYoLaevFrnVSp5VtI4Im0VdymuLq8RmxTL1/9+rXFEIrdkK0H5/fffWbZsGZs2GRZvOnDgAMuWLWPZsmVERRkWVZs/fz4DBw7k4cOH6n6ffPIJ58+fx9/fn6CgILZt26b+t2/fvhw4HZGTjhTZzZ0Yw7wn3ap0o07xOhpHpD1PR09GN3rSxPzVwa8y2EOI7ItPilf7ngBM8U2/v15hManFJOys7QD4/uj3hMbITOQFkU12dlq9ejXBwU+Wut67dy979xpW1ezYsSMuLi5m97tyxTB/xKZNm9TkxsjHxwc/P7/shCNygV7Rs8XzN/XxOy3f0TAay/JW87eYe2QucUlx/Hj8R6b6TS0wy9wLy/LLmV9MhvdXL1o9gz0Kh1JFSjGs/jB+OPYDUQlRfH/0+0Ix7LqwyVaCsmbNmgzrTJs2jWnTTG8JZGY/oT29XmH1sbXcszfMM9CyTEtalm2pcVSWo7hLcYY3GM63R74lJjGGOYfm8ElbmWFW5KxkvWk/J2k9MTXZdzI/Hf+JZCWZb498y6QWk3C0ddQ6LJGDNJ+oTViW60eCWTVuF9+c+FIta/5fV64fCU5nr8JnUotJ2FgZ8vsfjv1AdEK0xhGJguavi3+pC3P6l/cvFEtLZEU593L0rdkXgJCYEJaeXKptQCLHSYIiVNePBLNzdiAnYo9w3fESAKXiy1MluC47ZwdKkpJCGbcyvFzrZQDCYsNYdmqZxhGJgkRRFD7b/2SunXd85RarOca5iQC++vcrkvXJGkYjcpokKAIw3NY5tPw8YFjS3KhLaB90GBbkOrTiPHq9okl8lsg4/T3A1/9+LR+OIsfsurGLo3ePAlDPpx4dK3XUOCLLVL9EfdpXbA/A1UdX+fPCn9oGJHKUJCgCgOALYUSHxXHX7ib/uRwHwCuhOI0iW6l1okPjCL4QplWIFqeuT12TD8f1F9drHJEoKL48+OQW6xTfKeh0smpvWlK2onx+8HMURX5EFRSSoAgAYsPjAdjh8ada1j78BayxNltPGLzd/G31b+NCbkI8i/MPz7P5ymYAyrmVo3eN3hpHZNk6VOxA3eKG5TeO3DnCvpsyZUVBIQmKAMDR3Z5I6wgOFfkHAIdkR3wjUjcrO7rb53VoFq1jpY7q7LoHbx3k31v/ahyRyO/mHJ6j/j22yVi1M7YwT6fT8XaLJz8UZPr7gkMSFAGATzVPDpbYRqJVAgAtIzrhqDddI8nZywGfap5ahGexdDqdSV+UlJNqCZFVoTGhLD+1HAAXOxeGNRimcUT5Q7+a/ShTxDAz+d+X/uZS6CWNIxI5QRIUAUCiPoHdHn8DoFOsaPfohVR1mg2sjpWV3At/2su1XsbHxQeAPy78wdWwqxpHJPKr+cfnE5sUC8CQekNwc3DTOKL8wdbalrFNxqqPvz38rYbRiJwiCUo+E/MojuNrLxPzKC5Hn3fVf6sISTAsS9A4oSXeScXVbc5eDrSbUJ8KTXxy9JgFhb2NPeOajAMMM/CmbKIXIrMSkhP47qhh7SsdOsY1HadxRPnLsAbDcLI1tPouPbWUiLgIjSMSz0oSlHwmJjyewHVXiMnBzqqKovD1oScLbn39+kx8h9YEwHdoTfrN8ZfkJAMjG41UPxyXnFzC9UuGNYweXouQodkiU347+5s6rf0L1V4o9IsCZpWHoweD6gwCICohiiUnl2gckXhWkqAIdt3Yxen7pwFoWqopvmVbULSioWm5aEU3ua2TCZ6OngysMxAwfDh+/Zfhl/CBRWdZPW63THIn0qUoCt8c+kZ9/GazNzWMJv8a2zTFbZ4j38rcRPmcJChCPhhzyIuO/dW/d3lsQI8egOiwOJmJV6Rr/839HL9nmH+oQYkG+JWVhVOzo0bRGnSo2AGAa4+usenypgz2EJZMEpRC7vqj62y8tBGAMkXK0KtGL40jyp/0eoVHfyhUja4DwH27O5xzOmFSR2biFWmZe2Su+vebzd6UidmeQcq+O9IfLH+TBKWQm3dsHgqGL83XG70ucy5kk3Em3rbhPdSyfzw2mNSRmXiFOXce3+GP838AUNy5uLoAnsierlW6UtmzMgA7r+/kvwf/aRyRyC5JUAqx2MRYFgUuAsDO2k7mXHgGxhl260Y1xTOxKAD/OR/jge1ds/WEMPrp+E8kK4a+EiMajsDO2k7jiPI3K52VDDkuICRBKcRW/beKsFjDL/q+NftSzLmYxhHlX8YZdq2xxj+8OwCKTmGX+99m6wkBhqHF84/PB8BaZ83IhiM1jqhgCKgXgKudKwArTq9QP+dE/iIJSiGlKIo65wLAG43f0DCa/M+nmifOng4A+IV3wlZv+BV8wG0bcTrDxFsyE6942rrz67gffR+Al6q/RKkipTSOqGAoYl+E1+q9BkBsUiwLTyzUOCKRHZKgFFKH7xzmxD1DJ86GJRrStFRTjSPK36ysdDQbVB0AF30Rmj72ByDWOoZ/3XYCMhOvSO37o9+rf8uPhJw1pskY9e+fjv+EXtFrGI3IDklQCqmnPxhl1MCzq9DEh3YT6uPs6WDSWXaP10bajq8nk90JE6eCT7H/5n4AahatSetyrTWOqGCp4lXFZMjxtqvbNI5IZJUkKIXQg+gHrDm7BjBMMNa/Vv8M9hCZVaGJD/3m+tP/1eepEmOYjfeOTRA3ip3XODJhaVL+SBjdeLT8SMgFoxuPVv/+4egPGkYiskMSlEJo4YmFJCQbVi0eWn8ojraOGkdUsFhZ6Sha0Y02/99ZFuDHYz/myrFya20mkbvC48L55cwvALjauaqzEIuc1f257pQuUhqAjZc3cjPipsYRiayQBKWQSdInqV+WOnSMajRK44gKrvqRLSjqYBhy/MeFPwiOyvmZZHNjbSaR+5aeXEpMYgwAg+oOwtXeVeOICiYbKxuGNxgOGBbyNI6YEvmDJCiFzIaLG7j1+BZgmNCogkcFjSMquGywZUBlwy/jJH0Si04s0jgiYQn0it7kdoN0js1dwxoMw1pnDZi2HgvLJwlKIfPDsScfjCl7uYvcMbDKIHQY+hbMPzFfFi8T7Li2g8thlwFoW6Et1YtW1ziigq2ka0lerPYiAPej7/PnhT81jUdkniQohcjVsKvsuLYDgIoeFelYqaPGERV85VzL07lyZwBuRtxky5UtGkcktJayP5K0nuSNlLey5x2bp2EkIiskQSlEUk5WNKLBCKx08vbnhZQfjj8ez53OsiJ/CI4JZv3F9QCUcCnB8889r3FEhUPbCm2p6lUVgN03dnP+oYyqyw/kG6qQSEhOYPHJxYCh41hAvQBtAypEulbpSpkiZQDYeGkjQeFBGkcktLLy6i/qujtD6w/F1tpW44gKB51Ox+uNXlcf59aoOpGzJEEpJDZc3MCD6AcAvFjtRYq7FNc4osLD2spaHUmgoLDgxAKNIxJa0KPn58vLAMMIuqENhmocUeEyuO5gHG0MUyosO7WM6IRojSMSGZEEpZCYf+LJ8LoRDUZoGEnhNLTBUJORBInJiRpHJPKKXq/w8FoE551OcjPKMA9Hp8qdKO9eXtvAChkPRw91UsqI+AhW/bdK44hERiRBKQSuP7quTvNcwb0C7Sq20ziiwufpkQR/XfxL24BEnrh+JJjV43ZzYNFZ9rpvVstfcO2jYVSFl3SWzV8kQSkEUnaOHd5guHSO1UjKe+Dy4VjwXT8SzM7ZgUSHxRFhHcYpl0MAuCV5wKqiXD+S8xP3ifQ1LtWYhiUaAnD83nGO3z2ucUQiPfJNVcAlJieadI59rf5rGkdUeLWt0JbKnpUB+Of6P1wMuahxRCK36PUKh5Y/GSly0G0HyTpD51jfiI7YYMOhFefR6xWtQiy0RjYcqf4t/cEsmyQoBdzfl/5Wp1jvUbUHPi6yoq5WrHRWJh+OMu12wRV8IYzoMMP6SHr07HN7Mv9Ny4hOAESHxhF8IUyT+Aqz/rX642zrDMCvZ34lKiFK44hEWiRBKeCkc6xlCagXgJ21HQBLTy0lLkkW+SuIYlOsjXTB6RQP7Qw/EmpEN6Booo/ZeiJvuNq7MqD2AAAiEyJZ/d9qjSMSaZEEpQC7EX6DrVe2AlDOrRwdKnXQOCLh7eRN7xq9AQiLDeP3c79rHJHIDY7u9urfe92edI5tFd45zXoi74xo+OTHmtzmsVySoBRgi04sQsFwj9uSO8c6udtTv2dlnArJh3XK2zw/Hf9Jw0hEbvGp5omzpwOPrR9x0vVfAIokeVA3qplax9nLAZ9qnlqFWKg1LNGQej71ADh85zCngk9pG5AwyzK/scQzS9InsSjQsHqutc7aojvHOnk40LB3FZw8HLQOJU/4lfWjurdhgbh9N/dx7uE5jSMSOc3KSkezQdWf6hzbHhts1DrNBlbHykqnVYiFmk6nM7nlLa0olkkSlAJq46WN3Iu6B8DzVZ+npGtJjSMSRjqdzqSJWTrLFkzlGhfjWLnd6uOWEYbbO85eDrSbUJ8KTaTDupYG1B6Ak60TAD+f/pmYxBiNIxJPkwSlgJLOsZZtUN1B2FsbbmktO7WM2MRYjSMSOW33jd0ExVwHoLl7S4ollsB3aE36zfGX5MQCuDm40a9mP8Aws+xvZ3/TOCLxNElQCqCbETfZfNnQMa+sW1k6VuqocUTiaZ6OnvSt2ReA8LhwfjsnH44FTcqWsaF1hgFQtKKb3NaxIMY1skBu81giSVAKoJSdY4fVH4a1lbXGEQlzpLNswfUw+iHrzq8DoKhTUbqU6apxRMKcZqWbUatYLQAO3DrAhfDzGewh8pIkKAVMkj5JnTnWSmfFkPpDNI5IpKVFmRbULFoTgIO3DvLfg/80jkjklGWnlpGoNywI+Vq919S5b4Rlebqz7M+Xl2sYjXiaJCgFzJYrW7j9+DYA3Z/rTqkipTSOSKRFp9OZtqIck1aUgkBRFJPbO8MaDMvT4xe2YfvP6tU6r+JgYxhBuPrqShJ1CRpHJIwkQSlgUn4wSudYyzew7kD1w3HF6RUykqAA2H1jN5fDLgOG9ZeqeFXJ0+Pn1bD9gpIIeTh60KeGYXXp8IRwjrsc4OG1CFknyQJIglKA3H58m42XNwJQukhpOlfunMEeQmvuDu4mIwnWnF2jcUTiWRWWEXQFaf6ibo491b/3uW/hwKKzrB63W1ac1liWE5SYmBgWL17M22+/Tbdu3WjVqhWbN2/OeMf/FxkZyRdffMHzzz9Px44dGT9+PBcvyqquOWFx4GL0ih6QzrH5iXSW1U7MoziOr71MzKOcWRMpZedYbydvXqz2Yo48r8g9148E83i5HT7xZQC45HSGYNvbRIfFsXN2oCQpGspyghIREcHSpUsJCgqicuXKWdpXr9czZcoUduzYQc+ePXn99dd59OgR48eP59atW1kNRaSQrE9m4YmFgHSOzW+alW5G7WK1ATh0+xCn75/WOKLCIyY8nsB1V4jJoUX7lp9aTkKyoQ9DQN0A7G3y9+2Pgk6vVzi0/Dw6dPj9/yrTAPvct6p/H1pxXm73aCTLCYqXlxd//PEHv/32G6NGjcrSvrt37+a///5j6tSpvPbaa/Ts2ZO5c+diZWXFkiVLshqKSGHr1a3cemxI8rpW6UoZtzIaRyQySzrLFgyKopjc3hnecHg6tYUlCL4QRnSYofWs+eN22OgNSxEcLLKdRJ1hFFZ0aBzBF8I0i7Ewy3KCYmdnh5eXV7YOtmfPHjw9PWnVqpVa5u7uTps2bdi/fz8JCdJ7Orukc2z+9mqdV59Mu33mZ6ITojWOSGTV3qC9XAq9BECb8m14zus5jSMSGYlN0XLmmuxGgyhfAKJsHnPS5V+z9UTeydNOspcuXaJKlSpYWZketnr16sTFxaV5myckJISLFy+q/wUFBeVFuPnGncd3+PvS3wCUci1FlypdNI5IZJWbgxv9a/YH4HH8Y1b9t0rjiERWmXSObSg/EvIDx6dGIPmFPxlYsM9tS5r1RN6wybhKzgkLC6Nu3bqpyo0tMqGhoVSqVCnV9vXr17N06dLcDi/fWnJyCcmKYcXUofWHYmOVp2+ryCEjG41UJ9n76fhPDG0wVOOIRGaFxoSy9txaALwcvXip2ksaRyQyw6eaJ86eDuptnqqxdSiWUJIHdnc573ySB7b3qFCkAj7VPDWOtHDK0xaU+Ph47OxSz6hoLIuPN9+M1qNHDxYsWKD+99577+VqnPlJys6xOnTypZaPNS7ZmHo+9QA4evcogfcCtQ1IZJpJ59h60jk2v7Cy0tFsUHX1carOsm5baDawuqyfpJE8TVDs7e3N9jMxltnbm/9H7e3tTdWqVdX/ypUrl6tx5ifbr20nKMJwy6tLlS6UdSurcUQiu1J1lpUhx/nC051j83rmWPFsKjTxod2E+jh7GuZzaRHRAWvF0Ap9tMQuSjWU1hOt5GmC4unpSWhoaKpyY1l2O98WZtI5tmAZUHsAzrbOAPxy5hci4yM1jkhkZP/N/VwIuQBA63KtqeZdTeOIRFZVaOJDv7n++A6tSZFkd9oXNbSihCaEsP7ieo2jK7zyNEGpUqUKly9fRq/Xm5SfP38eBwcHypSRobFZcTfyrvqPp4RLCbo9103jiMSzKmJfhAG1BwAQlRAlnWXzAekcWzBYWekoWtENgBH1n7yP0pKpnVxLUEJCQggKCiIpKUkta926NWFhYezdu1ctCw8PZ9euXbRo0cJs/xSRtiWB0jm2IJLbPPlHWGwYv539DQBPR096Vu+ZwR4iO/J63Z+WPn5U8jAM2NhxbQdXw67m+DFyehbjgihbCcrvv//OsmXL2LRpEwAHDhxg2bJlLFu2jKioKADmz5/PwIEDefjwobqfv78/NWvWZObMmSxdupQ//viD8ePHo9frGTJEZj7NimR9MgtOLAAMHbvkvnfB0bBkQxqWaAjA8XvHOX73uMYRibSsOLWC+GRD5/7BdQerCz+KnJXX6/5Y6axMWsOMAxFyUk7PYlwQZStBWb16NYsWLeLPP/8EYO/evSxatIhFixYRGZn2PXNra2s+//xz2rZty++//868efNwc3Nj9uzZlC0rnTuzYve9XWrn2M6VO1POXToOFyTSimL5Us0c20Bmji1IAuoFYGtlC8Dik4vVUVoi72TrnsCaNRmvuDpt2jSmTZuWqtzV1ZUpU6YwZcqU7Bxa/L8Vl5eqf6f8MhMFw8u1X2bitolEJkTy65lf+bLjlxSxL6J1WCKFg7cOcu7hOQD8yvpRvWj1DPYQ+Ukx52K8WO1Ffjv3Gw+iH7D+4np61+itdViFSp52khU5I9w6lC23DCtIS+fYgsnFzoVXar8CQHRiNL+e+VXjiMTTpHNswSctmdqSBCUfOuC2XTrHZkNed7R7ViMbmX44KoqsqGopHsU+Ys1ZQ0uyh4MHvar30jgikRvaVGiT651lRdokQclnkvXJ7HM3rBEhnWOzJq872j2rej71aFKqCQAng09y9O5RjSMSRj+f/pm4JMPoi0F1B+Fo66hxRCI3WOmsTPoW5UZnWZE2SVDymd33dhFq+wCQzrGFQcrJ9346Jk3MlkA6xxYur9V/TTrLakQSlHxEr1dYELhAfTysvnwwFnT9a/VXO8euOruKiLgIjSMSh24f4r8H/wHgW8aXmsVqahyRyE3GzrKA2llW5A1JUPKJ60eC+XHCWnaFbgfALcmTmB9cuX4kWOPIRG5ytnPm1dqvAhCTGMPPp3/WOCIhnWMLn5Tvs3SWzTuSoOSA3J4R8PqRYHbODmSbfgN6nWGZgJbhHYkLS2Tn7EBJUgo46SxrOcLjwln932oA3B3c6VOjj8YRibzQtkJb6SyrAUlQckBuzgio1yscWn4ePcnsd98KgE4xXRL80Irz6PXypVVQ1Sleh2almwFw5sEZDt85rHFEhdcvp38hNikWgIF1Bkrn2EJCOstqQxIUCxd8IYzosDjOOQWqnWNrRjfEK6m4Wic6NI7gC2FahSjygMzHoD1FUUxee+kcW7hIZ9m8JwmKhYv9/1aZPe6b1bJWEZ3TrCcKpr41++Jmb1hpdfV/qwmPC9c2oELoyJ0jnHlwBoDmpZtTu3htjSMSeUk6y+Y9SVAsnKO7PeHWoZx2MTTruyV5Ujuqidl6ouBysnViUN1BAMQmxbLi1AqNIyp8fjz+o/q3dI4tnKSzbN6SBMXC+VTz5EiJf0w6x9o8tYSSs5cDPtU8tQhP5KGnb/NIZ9m8ExYbxqr/VgHgZu8mnWMLKeksm7ckQbFwepLZ7/Wkc2zLFJ1jjZoNrI6VlS6vQxN5rGaxmviW8QXg7MOzHLx1UOOICo+lJ5eqM8e+Vu81nO2cNY5IaEE6y+YtSVAs3MZLG7kXdxeAeglN8U7ROdbZy4F2E+pToYlPjh83v61bU1hIZ9m8p1f0zDs2T338eqPXNYxGaC2gXoC6/pl0ls1dkqBYuO+Pfq/+/UnA//Adapi10ndoTfrN8c+V5ATy37o1hUXvGr3xcPAAYM3ZNTyKf6RxRAXfjms7uBJ2BYB2FdpR1buqxhEJLRV3Kc5L1V4CDJ1l151fp3FEBZckKBbsUugltl8zzBxbwb0CXap0pmhFw0iOohXd5LZOIeRo68jguoMBiE+OZ/XVlRpHlPNye+LDrPrh6A/q36Mbj9YwEmEpUl4H3x35TsNICjZJUCzYj8eejBoY1WgUVjp5u4TpSIIlZxehoPDwWkSBmawvNyc+zKqbETfZcGkDACVdS9Kjag+NIxKWoHW51tQsamjNPnDrAKeCT2kcUcEk33gWKiYxhiUnlwBgb23PkPpDNI5IWIrqRavTxMMws+y12KtcdjzLgUVnWT1utyx7kMPmH5+PXjGMoBvZcKTa90AUbjqdzqQVJeWteJFzJEGxUCvPrFQn4+pfqz9eTl7aBiQsxvUjwdQ566c+3vv/k/hFh8XJ2kw5KCE5QR2lYWNlw7AGwzSOSFiSgXUG4mrnCsDPp3/mUaz0B8tpkqBYIEVRTDLyNxq/oWE0IjtyaxSUcW2mBlEtcUkqAsBxl/1EWT1W68jaTDnjj/N/cD/6PgAvVnuRkq4lNY5IWBJXe1e1P1hsUixLTy7VNqACSBIUC3T4zmECgwMBaFSyEY1LNdY4IpFVuTUKyrg2k61iS4vH7QFIskrkoNsOtY6szZQzfjiWonNsI+kcK1JLeZvnh2M/qLcDRc6QBMUCpRw1IK0nIqWUay75hT9Zk2mf2xYUFLP1coqlja7JTf89+I+9QXsBqOZdDf/y/toGJCxS9aLVaVehHQBXwq6w/ep2jSMqWCRBsTAPox+y+uxqADwdPelXs5/GEQlLknLNJZ/E0lSNqQNAsP1tLjmeMVsvp1jS6Jrc9v2RJ7dYRzcajU4nQ/qFeSl/RH53VIYc5yRJUCzMosBF6syEQ+oNwdHWUeOIhCXxqeaJs+eT20atwruofxtXvJa1mZ7No9hHLD+9HAAXOxd1kUYhzHm+6vOUKVIGMMz8ff3RdY0jKjgkQbEgicmJaudYHTqZUlukYmWlo9mg6urj+lEtcE0yTN53wvUA4dahsjbTM1p4YiExiTEABNQNwM3BTeOIhCWzsbJRP6sVFJP5qyxBfr41KwmKBfnjwh/cfnwbgO7PdaeSZyWNIxKWqEITH9pNqI+zpwO2ii1+EYa+KMm6JG50OpZryx8UBkn6JJNm+rFNx2oYjcgvhjUYhp21HQALA58kuJYgP9+alQTFgsw+NFv9e0KzCZrFISxfhSY+9Jvrj+/QmrR51B0bnWECsVV3fyY2MVbj6PKvvy78xc2ImwB0rdKV57ye0zgikR8Ucy5G35p9AQiLDePn0z9rHFHBIAmKhTh8+zD/3v4XgNrFatOmfBuNIxKWzspKR9GKbrgne/Fi+Z4AhMaGyofjM5hzeI769/im4zWMROQ3E5pOUP+efWg2iiJzET0rSVAsRMoPxgnNJsioAZElr9d4Mh/D7MPy4ZgdgfcC2XdzHwDVvavToWIHjSMS+UnDkg3xK2uY4fl8yHm2Xt2qcUT5nyQoFuD249v8du43ALydvBlQe4DGEYn8pq5XPVqWbQnAuYfn1FWwReal/JEwruk4+ZEgsuzNZm+qf39z6BsNIykYJEGxAN8f+Z4kfRJgWLXYwSZnZx8VhYN8OGbfg9gHrPxvJQDuDu4MrDNQ44hEftSjag8qelQEYNvVbfz34D+NI8rfJEHRWExiDD8d/wkAWytbRjUapXFEIr96oeoLlHcvD8CWK1s4//C8tgHlI8suLVbnHxreYDjOds4aRyTyI2sra8Y1Gac+TjnwQWSdJCgaW3FqBY/iDKtg9q/VnxKuJTSOSORX1lbWjG3yZFhsylsWIm3xujgWXVgAgLXOWpaXEM9kSP0hFLE3LOT58+mfeRD9QOOI8i9JUDSUrE/m60Nfq49l1IB4VkPrD8XFzgWA5aeWExoTqnFElu9ft52Exhtep741+1LOvZzGEYn8zNXeleENhgMQnxxvcRO35SeSoGho/cX1XAq9BEDrcq1pWLKhxhGJ/M7NwY0h9YYAhiXg5x2bp3FEli1Zn8w2j3Xq40ktJmkYjSgoxjYZi5XO8PX6/dHviUvKf7O4WgJJUDSiKAqzDsxSH0/xnaJhNKIgGd9svPrhOPfwXIua1dLSbLz1Nw/t7gHQvmJ76peor3FEoiAo516OXtV7AfAg+gHLTy3XOKL8SRIUjey7uY/Ddw4DhonZOlfurHFEoqCo6FFRndXyYcxDlgQu0Tgiy6QoCt/996SfzuQWkzWMRhQ0k32fXE+fH/icZH2yhtHkT5KgaCRl68lk38ky54LIUSlb5L7890t1GLt4YveNPQSGngCgmnMN2pZvp3FEoiBpVLIR7Su2B+Dqo6usPbdW44jyH0lQNHDm/hk2Xd4EQFm3svSr2U/jiERBU8+nntoqdyP8BmvOrtE4Isty/UgwExdMVR+3vNyNNeP3cP1IsIZRiYLmHd931L8/O/CZzPCcRZKgaOCLg1+of09sPhFba1sNoxEFlcmH4375cDS6fiSY5T/8QaD9IQA8E4vSMNKP6LA4ds4OlCRF5Ji2FdrSuGRjAE4Gn2Tb1W0aR5S/SIKSx25G3FRnrPR09GRo/aEaRyQKqlblWtGsdDMAzjw4w+YrmzWOSHt6vcKh5efZ6LVKLesQ9hI22KiPD604j14vyZx4djqdjndaPvmhMHP/TA2jyX8kQcljn+3/TO0PMKbxGJmxUuQanU5n0ooiH44QfCGMK1GXOOZqWBTQNckdvwjTDurRoXEEXwjL0eM6udtTv2dlnNztc/R5heV7sdqLVPWqCsCeoD38e+tfjSPKPyRByUO3H99mUeAiAFzsXBjXdFwGewjxbJ6v+jzVvasDsP/mfnbf2K1tQBqLDY9nk+dqFJ2hhaRTWE/sldRrX8WGx+focZ08HGjYuwpOHrLOVmFjpbMy6bT+6f5PNYwmf5EEJQ/N2j9LXe9jTOMxeDl5aRyRKOisdFa86/eu+viD3R8U6r4o96xvc7jIHgBckorQOryb2XqO0tIhctArdV6hTJEyAPx96W+O3jmqcUT5Q5YTlISEBObNm8dLL71E+/btGTlyJEePZu7FPnbsGOPHj+f555+na9eujBgxgq1bt2Y56PzobuRdFpwwrPfhbOvMxBYTNY5IFBb9a/VXm5j3Bu1l141dGkeknUX35qHo9AC0f/QSDopjqjrOXg74VPPM69BEAWZnbcc0v2nq4w/3fKhdMPlIlhOUmTNnsmbNGjp06MC4ceOwsrJi8uTJnD59Ot399u/fz8SJE0lMTCQgIIBhw4Zhb2/PjBkzWLOm4A+BnLV/FvHJhmbj0Y1H4+3krXFEorCwtrLm/dbvq48LayvK9UfXWXF6BQBOyS60DX/ebL1mA6tjZSXzEomcNaT+EMq6lQVg0+VNHHsorSgZyVKCcu7cOXbu3MmIESMYPXo0PXr0YPbs2fj4+DBvXvprfqxbtw4vLy9mz55Nr1696NmzJ9988w2lSpVi8+aCPbrgXuQ95p+YD4CTrRNvt3hb44hEYdOvZj+Tvij/XP9H44jy3sz9M0lWDLN5Dq/6Ot7upq0kzl4OtJtQnwpNfLQITxRwdtZ2vOf3nvp4xr/TAXh4LUJGjaUhSwnKnj17sLa2pkePHmqZvb093bp14+zZs9y/fz/NfWNiYnB1dcXOzk4ts7Gxwc3NDXv7gn2/d+b+mepiUaMajaKYczGNIxKFTWFvRbkcepnFgYsBKGJfhA96TqPfXH98h9YEwHdoTfrN8ZfkROSqgHoBlHY09EXZH76HKw7nOLDoLKvH7Zb5d8zIUoJy+fJlSpcujbOz6dDY6tUNv8yuXLmS5r716tXj+vXrLFy4kNu3b3Pnzh2WLVvGxYsXefnll7MRev5w/dF1dbltaT0RWupTo4/ainLg1gF2XNuhcUR55/3d76utJxObT8TD0QMrKx1FK7oBULSim9zWEbnu9vFQ2l7vqT5e7/0zgEwSmAabjKs8ERoaipdX6pEnxrKQkJA09x08eDD37t1jxYoVLF9uWNnRwcGBjz/+GD8/v3SPGxISQmhoqPo4KCgoK2Fr6oPdH5CoTwTgzWZv4uMiv9CENqytrPmg9Qf0/70/ANP+mUa7iu3UlY8LqpPBJ1n1n2FitqJORXmz2ZsaRyQKI+Mkgc0j2rHZczUP7YI573ySi46nqRpbBzBMEliuUXFJlv9flj6Z4uPjsbVNPS278bZNfHzacwfY2tpSpkwZ/P39+eCDD3jvvfeoWrUq06dP5+zZs+ked/369QwfPlz9b/r06VkJWzOn75/m59OGDNnT0ZNJLSZpHJEo7PrU7EOd4oYPw2N3j/Hb2d80jij3Tdv5ZPTEu37v4mrvqmE0orAKvhBGdFgcNtjQPXSAWr626GL0GEaW5cYkgflZllpQ7O3tSUxMTFWekJCgbk/L7NmzOXfuHAsXLsTKypAXtW3blkGDBjF37lx++umnNPft0aMHvr6+6uOgoKB8kaS8+8+7KBju809rOQ03BzeNIxKFnZXOis/bf07nXwyzp07dOZUXq72IvU3B7Ae258YedYr/sm5leb3R6xpHJAqrlJP/NXvchm2ev3PHPogbjpc47rqPxpGtU9Ur7LLUguLl5WVyq8XIWObtbX7obGJiIhs3bqR58+ZqcgKGTrJNmzbl4sWLZhMfI29vb6pWrar+V65cuayErYn9N/fz96W/AShdpDSjG4/WOCIhDDpW6ki7Cu0AuB7+pI9UQaMoClN3Plmx+CP/jwpsIiZyRm4uSZBy8j8rrOn1cIj6eJ33MhJ1ianqFXZZSlAqV67M7du3iY6ONik/d+6cut2ciIgIkpOTSU5OTrUtOTkZvV6PXq/PSigWTa/oeXvbk86wH7b+EEfb1BNCCaEFnU7H5x0+Vx9/svcTwuPCtQsol6w5u4Z/bxvWPanuXZ2BdQZqHJGwdLm5JIFPNU+cPZ88b63oRlSPrgdAiF0we9w3yiSBT8lSguLv709ycjLr169XyxISEti0aRM1atSgePHiANy/f9+kI6uHhwcuLi7s27fPpKUkJiaGAwcOULZs2QI11PiX079w+M5hAGoUrcHgeoM1jkgIUw1KNOCV2q8AEBobymf7P9M4opwVmxjL5B2T1cdfdPgCaytrDSMShZ2VlY5mg6qrj3XoTFpR/vZaSY3+JaWDbApZSlBq1KhBmzZtmD9/PvPmzWP9+vVMmDCB4OBgXn/9yb3dGTNmMHDgk18r1tbW9O/fn1u3bvH666+zZs0aVq1axciRI3n48CGDBg3KuTPSWFRCFFN2PFkYanan2dhYZamrjxB5Ynrb6dhZGzq4f3PoG66EpT1NQH7z5cEvuRlxE4BOlTrRtUpXjSMSAio08aHdhPpqS0q5+Mo0i2gDQLR1JEsjC+bt1uzK8vjCadOm0adPH7Zu3crcuXNJSkpi1qxZ1KtXL939Bg0axP/+9z9sbGxYunQpixYtwtnZmY8//piOHTtmN36LM3PfTO5F3QOgR9UedKjUQeOIhDCvvHt53mr2FgAJyQlM2DJB24ByyJ3Hd/jsgKFFyFpnzdedvkank1+lwjJUaOJjMkng9HYzcLAxJCzfHvmWM/fPaBmeRcnyT3t7e3tGjx7N6NFpd/qcO3eu2fIOHTrQoUPB/cK+EXmDr/79CgBbK1u+6viVxhEJkb53W73LitMruBN5h42XN/L3pb/p/lx3rcN6JpO2TyImMQYwzNxco2gNjSMSwlTKSQLr1qjBNJdp6mSCYzaPYffg3ZJUk40WFGFKr1d4eC0CBYU3d41XFwR8s9mbVPY032lYCEvhYudikkiP3zJeXZYhP9p2dRsr/1sJGOYe+tD/Q20DEiITJvlOopJHJcCw4rjxGi7sJEF5BtePBLN63G4OLDrLEdc97A/fA0AJh5K81+q9DPYWwjL0rdkX//L+AFx7dI1P932qbUDZFJsYy6iNo9THX3T4Ai+n1DNfC2FpHGwcmNvlyZ2Ht7e9TURchIYRWQZJULLp+pFgds4OJDosjmirSFYXm69u63l1KCGnotPZWwjLodPp+LbLt2pn7pn7Z3L6/mmNo8q66Xunc+3RNQBalWvFa/Ve0zgiITKva5WuvFD1BQDuRd1j0naZeVwSlGwwrqlg9HvRxUTahANQP7IF9aKac2jFeVlCW+QbtYrV4h3fdwBI0icx5K8hJOmTNI4q8/578B9fHPwCMPT/+rHbj3IPX+Q7c7vMxcXOBYAFJxYUqgU9zZEEJRuMayoA/Od0jH3uWwFwSHbk5QeG4daypoLIb95r9Z7aofT4veN88+83GkeUOQnJCby67lV1Uc53Wr5D9aLVM9hLCMtT1q0sX3T4Qn08bP0wohKiNIxIW5KgZINxrYQoq8csLfHkQ7zXwyF4JHmnqidEfmBvY8+iHovQYWh5eH/3+5x7eE7jqDL24e4POXX/FAA1i9Zkmt+0DPYQwnKNaDhC7RMWFBHElO1T0t+hAJMEJRsc3e1RUFjh8y0RNo8AqBXVkNYRXVPVEyI/aVa6GROaTQAgLimO/mv7W/SonoO3DjLrwCzAcGtnxUsr1DklhMiPrHRWLHx+IU62TgD8cOwH1l9cn8FeBZMkKNngU82TEyX2csL1AAAuSUUYHPym+ssTkDUVRL41o+0MahY1TCJ15sEZJm2zzM56EXERDPxjIHrFsI7Xh/4fUr9EfY2jEuLZVfKsZHKr57W/XuP249saRqQNSVCy4VzIWZZ5PBkSNvD+WNyTTZORZgOry5oKIl9ytHVkVe9VakvEd0e/y7NfcMZ5hQAeXotIs6O5oigMWT9EHbXTvHRzJvtONltXiPxoVKNRvFTtJQDCYsN4Zd0rJOtTL7hbkEmCkkURcRH0XN2T2ORYAPxju9Agylfd7uzlQLsJ9anQxEerEIV4ZrWK1eKbTk/6VwX8GcC1x9dy9Zgp5xUCOLDoLKvH7eb6keBUdb859A3rzq8DwN3BnV96/iJrXokCRafTsajHIsq6lQUME7i9v+t9jaPKW5KgZIFe0RPwVwCXwy4DUN+nPn9/tFZdU8F3aE36zfGX5EQUCCMbjqRn9Z4APIp7xMBdLxNrFZMrx0o5r1BK0WFx7JwdaJKk7Lq+i8nbn7SWrHhpBRU8KuRKXEJoycPRg197/oq1zrAS96f7P2XlmcIzy6wkKFkweftk/rzwJ2D41ba271qc7Z3UNRWKVnTL9ds6Tu721O9ZGSfpgCtymU6nY8kLS9Shx5ciLrKwxOcEXw3L0Tl+np5XyBzjvELnH57npdUvkawYmrqntpya79cOEiI9vmV9TZajGLJ+CEfvHNUworwjCUomfX/ke3UhQGudNSt7raSiR8U8j8PJw4GGvavg5CEjFUTuK2JfhO+rL8JZ7wrAaZcjjN44mlXjdpm99ZIdKecVSkt0aBxnTl6g669diYg39FHpVqUbH7f5OEdiEMKSjWs6jqH1hwKG0XXdV3bnUugljaPKfZKgZMIvp39h3JZx6uMfuv1A58qdNYxIiLxx/UgwVxY8YsSdd7BWDH089rlv4Wern1LdesmuzMwXFGkdQb9dvbgRfgMw3F5d1XuV9DsRhYJOp+P7rt/TsmxLAB5EP6DDig7cirilcWS5SxKUDPx65lcG/TlIHcr4ju87jGg4QuOohMh9KW+91Iipz5B7E9EphluYm73W8JfXCv5dce6Zb/dkNF9QtFUk35R+l4tRhlhKFynNhpc3qFOCC1EY2NvYs77/emoXqw3AzYibtF/RvkAnKZKgpGPB8QUm8yyMajSKT9vlz5Vehciqp2+9NIlszcsPnqwW/Lf3ShZbz+Hu+ZBnOo5PNU+cPc3fsgyzecgXZadwy8Ewgqika0n+GfQPpYqUeqZjCpEfeTh6sG3gNip5VALgUuglfBf7cjHkosaR5Q5JUMzQK3omb5/MiL9HmCQn33f9XhYgE4WGuVsvbcK70//+SPXxTo/1jNg35JnWC7Gy0tFsUOq1c27aX2Vm2be4Y38DAB8XH/4Z9A9VvKpk+1hC5Hc+Lj7sHLSTyp6VAbj1+BYtl7Rk943dqepmdl4hSyUJylMeRD+g+6/d1ZVRAd5q9hbfdf1OkhNRqKR166Vd+Au8du8tdIrh42Pz/b9purDpM/2Kq9DEh3YT6uPs6YCCwj63rcwq+zbhtqEAVPKoxN6AvVT1rprtYwhRUJRzL8f+1/ZTt3hdAEJiQmi/vD1fHPgCRTEkIVmZV8ic0JhQgqNypiN8dkmCksKWK1uoM68Om69sBgyjdX7o+gNfdfoKK528VKJwSe/WS4vH7Xnjzv9w1DsDcO7hOer9VI8vD35Jkj4pW8er0MSHFp9UYk2LuSz3mUOClaEFp1npZvw79F9pOREiheIuxdkdsJsOFTsAkKwkM3nHZNqvaM+uXf9mel6hp+kVPYtOLKLqd1V5Y9MbuXoOGZFv3f8XlxTH8A3DuR99H4DizsXZ/MpmRjUelcGeQhRMad16Maob3ZS//bep6/bEJcUxafsk6syrw9pza7M0LXdoTCjv73qfmvNqsCN0q1o+suFI/hn0D0Wdi2b/RIQooNwd3Nn8ymb+1+p/atk/1/+h057WrCr6ExHWYWb3M84rlJKiKGy+vJlmC5sxbMMwQmNDWXd+HZsub8rVc0iPjNH7fw42Dix7cRntl7enS5UuLHlhCcWci2kdlhCaMt56ObT8vMmvMWcvB5oNrE6FJj4c9j3Mu/+8y9zDc1FQOB9ynj6/9aGcWzkG1x1M1ypdaViyYaohwWGxYey/uZ/fzv3GuvPriEl8Mkuta5I7s9vNYYj/oDw7VyHyI2sraz5u8zF+Zf0YvmE4QRFBJOoS2en5F7s9NlI3qimNIv2oFlMX12TDpKLRoXEEXwijeDV3Tt8/zeYrm1l+ajkXQ01v0/av1Z/6PtotwCkJSgptK7Rl/5D9NC/dXPqbCPH/KjTxoVyj4lzcdYsDi87iO7QmVduUUWdNdrZzZnbn2fSv1Z+3t73NgVuGVb6DIoL4eO/HfLz3Y2ytbKngUYEi9kVQFIV7Ufe4G3k31bFsrWwZWCWAun93oEe5jnl6nkLkZx0qdeDs6LNMXPkOS64tIMEqnmRdEidcD3DC1fBv0jXJHY8kb6wVKz7bpOfuH3eITYpN9Vx1itfhq45f0b5i+7w+DROSoDylRZkWWocghMWxstJluKRDs9LN2PfaPrZc2cK3R75ly5UtKBiakRP1ienOfOnh4MGrdV7l7RZv4xTmxp/rD+bOiQhRgDnbOfN+4w+psqMZOzz+4qDbDh7bPFK3R9qEE2kTbngQnXp///L+jG0ylhervWgR/S4lQRFC5BidTkeXKl3oUqULtx/fZsuVLey4toNzD89x9dFVYhMNv9aKORejvHt5WpRpgX95fzpV6oS9jWHUUEhYhJanIES+5lPNk5JuJekV8hovhAzkotNpzjsHctXhAiG2wUTYPELR6XG0caScezlqFq2Jf3l/ulXpZnGLbkqCIkQ+ZsmLR5YuUpphDYYxrMEwk3JFUeQWqhC5xNi5fefsQGywoWZMA2rGNDCp025CfSo08dEowszTvg1HCJFt+XHxSElOhMhdKecVSsnZyyHfJCcgLShCCCFEgZNR5/b8QFpQhBBCiAIoM53bLZkkKEIIIYSwOJKgCCGEEMLiSIIihBBCCIsjCYoQQgghLI4kKEIIIYSwOJKgCCGEEMLiSIIihBBCCIsjCYoQQgghLI4kKEIIIYSwOJKgCCGEEMLiSIIihBBCCIsjCYoQQgghLI4kKEKIQsvJ3Z76PSvj5G6vdShCiKfYaB2AEEJoxcnDgYa9q2gdhhDCDGlBEUIIIYTFkQRFCCGEEBZHEhQhhBBCWJws90FJSEhg0aJFbNu2jcjISCpVqsSwYcNo3LhxpvbfuXMna9eu5erVq9jY2FCuXDmGDRtGw4YNsxy8EEIIIQqmLCcoM2fOZPfu3fTp04fSpUuzefNmJk+ezJw5c6hTp066+y5evJhly5bh7+9P586dSUpK4vr164SEhGT7BIQQQghR8GQpQTl37hw7d+5k1KhRvPzyywB06tSJgIAA5s2bx7x589Lc9+zZsyxbtow33niDvn37PlvUQgghRD4mQ9wzlqU+KHv27MHa2poePXqoZfb29nTr1o2zZ89y//79NPf97bff8PT0pHfv3iiKQkxMTPajFkIIIfIx4xB3Jw8HrUOxWFlqQbl8+TKlS5fG2dnZpLx69eoAXLlyheLFi5vd9/jx49SqVYu1a9eyYsUKIiIi8PT0ZODAgfTq1Svd44aEhBAaGqo+DgoKykrYQgghhMhnspSghIaG4uXllarcWJZWX5LIyEgiIiL477//OHHiBAEBARQvXpzNmzczZ84cbGxseOGFF9I87vr161m6dGlWQhVCCCFEPpalBCU+Ph5bW9tU5XZ2dup2c4y3cyIiIvjggw9o164dAP7+/gQEBLB8+fJ0E5QePXrg6+urPg4KCmL69OlZCV0IIYQQ+UiWEhR7e3sSExNTlSckJKjb09oPwMbGBn9/f7XcysqKtm3bsnjxYu7fv5/m7SFvb2+8vb2zEqoQQggh8rEsdZL18vIy6QtiZCxLK4koUqQIdnZ2FClSBGtra5NtHh4egOE2kBBCCCEEZDFBqVy5Mrdv3yY6Otqk/Ny5c+p2swexsqJKlSpERESkaoEx9ltxd3fPSihCCCGEKMCylKD4+/uTnJzM+vXr1bKEhAQ2bdpEjRo11Fs09+/fTzXSpk2bNiQnJ7Nlyxa1LD4+nu3bt1O+fHm5hSOEEEIIVZb6oNSoUYM2bdowf/58wsPDKVWqFFu2bCE4OJgpU6ao9WbMmMHJkyfZu3evWvbCCy+wceNGvvnmG27dukXx4sXZunUr9+/fZ+bMmTl3RkIIIYTI97I81f20adPU5CIqKoqKFSsya9Ys6tWrl+5+9vb2zJ49m3nz5rFp0ybi4uKoXLkys2bNokmTJtmNXwghhBAFUJYTFHt7e0aPHs3o0aPTrDN37lyz5R4eHkybNi2rhxRCCCFEIZOlPihCCCGEEHlBEhQhhBBCWBxJUIQQQghhcSRByQGybLYQQgiRs7LcSVakZlw2WwghhBA5Q1pQhBBCCGFxJEERQgghhMWRBEUIIYQQFkcSFCGEEEJYHElQhBAWRUbFCSFARvEIITIprxIHGRUnhABJUIQQmSSJgxAiL8ktHiGEEEJYHElQhBBCCGFxJEERQgghhMWRBEUIIYQQFkcSFCGEEEJYHElQhBBCiAIqP88rJMOMhRBCiAIqP08PIC0oQgghhLA4kqAIIYQQwuJIgiKEEEIIiyMJihBCCCEsjiQoQgghhLA4kqAIIYQQwuJIgiKEEEIIiyMJihBCCCEsjiQoQgghhLA4kqAIIYQQwuJIgiKEEEIIiyMJihBCCCEsjiQoQgghhLA4kqAIIYQQwuLYaB1AdsTHxwMQFBSkcSRCCCGEyKpy5crh4OCQbp18maAEBwcDMH36dI0jEUIIIURWLViwgKpVq6ZbR6coipJH8eSY8PBwjhw5QokSJbCzs9M6nFwXFBTE9OnTee+99yhXrpzW4eQpOffCd+6F9byh8J57YT1vKLznXmBbUNzd3enYsaPWYeS5cuXKZZhxFlRy7oXv3AvreUPhPffCet5QuM89LdJJVgghhBAWRxIUIYQQQlgcSVDyAS8vLwICAvDy8tI6lDwn5174zr2wnjcU3nMvrOcNhfvcM5IvO8kKIYQQomCTFhQhhBBCWBxJUIQQQghhcSRBEUIIIYTFkQRFCCGEEBYnX07UVhCFhISwdu1azp8/z4ULF4iNjWXOnDnUr18/Vd1x48Zx8uTJVOVNmjThyy+/NClLSEhg0aJFbNu2jcjISCpVqsSwYcNo3Lhxbp1KlmXl3AHOnDnDjz/+yKVLl3B2dqZNmzYMHz4cJycnk3r54dzN2bx5MzNnzjS77Y8//kjV23///v0sWbKEoKAg3N3d6dq1K4MGDcLGJn/9886v71dWBAYGMn78eLPb5s2bR82aNdXHmb3OLVFMTAyrVq3i3LlznD9/nsjISKZOnUqXLl1S1b1x4wbfffcdZ86cwcbGhubNmzNmzBjc3d1N6un1elatWsWff/5JWFgYpUuX5tVXX6V9+/Z5dFYZy+x5f/rpp2zZsiXV/mXLluXnn382KcsP551b8tcnWAF269Ytfv31V0qXLk3FihU5e/ZsuvWLFi3KyJEjTcrMDVObOXMmu3fvpk+fPpQuXZrNmzczefJk5syZQ506dXL0HLIrK+d++fJl3nzzTcqVK8eYMWN48OABq1ev5vbt23zxxRcmdfPDuadn6NChlChRwqTMxcXF5PGhQ4d49913qVevHuPHj+fatWssX76cR48eMXHixLwM95nl9/crK3r16kX16tVNykqVKqX+nZXr3BJFRESwdOlSihcvTuXKlQkMDDRb78GDB4wdOxYXFxeGDx9ObGwsq1at4tq1a/z000/Y2tqqdRcsWMAvv/zC888/T7Vq1di/fz8ff/wxOp2Odu3a5dWppSuz5w1gZ2fH5MmTTcqcnZ1T1csP551rFGERoqOjlYiICEVRFGXXrl2Kn5+fcuLECbN1x44dqwwaNCjD5zx79qzi5+en/Prrr2pZXFyc0r9/f+X111/PmcBzQFbO/e2331ZefPFFJSoqSi3bsGGD4ufnpxw+fFgtyy/nbs6mTZsUPz8/5fz58xnWHThwoPLaa68piYmJatn8+fOVVq1aKTdu3MjNMHNUfn6/suLEiROKn5+fsmvXrnTrZfY6t1Tx8fFKSEiIoiiKcv78ecXPz0/ZtGlTqnpfffWV0r59eyU4OFgtO3r0qOLn56f89ddfatmDBw+UNm3aKF9//bVaptfrlTfeeEPp2bOnkpSUlItnk3mZPe8ZM2YoHTt2zPD58st55xbpg2IhnJycKFKkSJb2SUpKIiYmJs3te/bswdramh49eqhl9vb2dOvWjbNnz3L//v1sx5uTMnvu0dHRHDt2jI4dO5r80ujUqROOjo7s2rVLLcsv556RmJgYkpOTzW67ceMGN27c4Pnnnze5nfPSSy+hKAq7d+/OoyifXUF5v7IiJiaGpKSkVOVZuc4tlZ2dXaYmHtuzZw8tWrSgePHialmjRo0oU6aMyXnu37+fpKQkXnrpJbVMp9Px4osv8vDhwwxbnPNKZs/bKDk5mejo6DS355fzzi1yiyefunXrFp06dSIxMRFPT0+6d+9OQECAyRfV5cuXKV26dKpmQ2PT8pUrV0w+GCzdtWvXSE5OTrWglq2tLVWqVOHy5ctqWUE49/HjxxMbG4utrS2NGzfmjTfeoEyZMur2S5cuAaR6Pby9vSlatKjJ62HpCsL7lRUzZ84kNjYWa2tr6tSpw6hRo6hWrRqQtes8P3v48CGPHj0yu0Be9erVOXTokPr48uXLODo6plrt13h9XL58Od/dBoyLi6NLly7ExcXh6upKu3bteP311036GBXE884KSVDyoZIlS1K/fn0qVqxIXFwcu3fvZvny5dy6dYuPPvpIrRcaGmo2mzeWhYSE5FnMOSE0NBQw39fGy8uLU6dOmdTNr+dub29Ply5dqF+/Ps7Ozly8eJE1a9YwevRoFi5cqH5RZ/R6GLfnB/n5/coKGxsbWrduTbNmzXBzc+PGjRusXr2aMWPG8MMPP/Dcc89l6TrPzzI6z8ePH5OQkICdnR2hoaF4eHig0+lS1YP8d314eXnx8ssv89xzz6EoCocPH+bPP//k6tWrzJkzR/2hWdDOO6skQckFer2exMTETNW1s7NLdfFl5J133jF53KlTJ7744gs2bNhA37591ZEA8fHxJp3MUh7TuD2n5ea5G+NN65wSEhJM6ub1uZuTndejbdu2tG3bVi338/OjSZMmjB07lhUrVvD2228DqOdrPKennyu923+WxlLer9xWu3ZtateurT5u2bIl/v7+vPbaa8yfP58vv/wyS9d5fpbReRrr2NnZFbjr4+kBDu3ataNMmTIsWLCAPXv2qJ1fC9p5Z5UkKLng1KlTaQ4lfNqKFStSNd9lR79+/diwYQPHjh1TExR7e3uzX47GDzh7e/tnPu7TcvPcjfGmdU4pv6i1OHdzcur1qFOnDjVq1OD48eNqmfF8zX1hJSQk5Nk55gRLeb+0ULp0aVq2bMnevXtJTk7O0nWen2V0ninrFIbro2/fvixatIhjx46pCUphOO/0SIKSC8qWLcvUqVMzVTenVrAsVqwYAJGRkSbP/fDhw1R1jU2r3t7eOXLslHLz3I31zd26CA0NNTkfLc7dnJx8PYoVK8bNmzdT1Q8NDU3VPyM0NDTVMFZLZinvl1aKFStGYmIicXFxWbrO87OMzrNIkSJqMubl5UVgYCCKopi0uhak68Pe3p4iRYrw+PFjtawwnHd6JEHJBV5eXmYnJMpNd+/eBTCZ3Mg4Dj86Otqk8+G5c+fU7TktN8+9QoUKWFtbc/HiRZNbIImJiVy+fJk2bdqoZVqcuzk5+XrcvXvX5P2tUqUKABcvXqRGjRpqeUhICA8fPjQZEWPpLOX90srdu3exs7PD0dExS9d5fla0aFHc3d25ePFiqm3nz583ec8rV67M33//TVBQEOXLl1fLC9L1ERMTQ0RERKrP8IJ+3umRYcb5THR0dKomfUVRWL58OYDJrJv+/v4kJyezfv16tSwhIYFNmzZRo0aNfDcqwsXFhUaNGrFt2zaT/hVbt24lNjbW5IM7P597eHh4qrJ///2Xixcv0qRJE7WsQoUKlC1blg0bNpgMRf7zzz/R6XS0bt06L8LNEfn5/coKc+/tlStXOHDgAI0bN8bKyipL13l+17p1aw4ePGgyjPz48ePcunXL5DxbtmyJjY0Nf/zxh1qmKAp//fUXRYsWpVatWnka97OIj4832z9s2bJlKIpC06ZN1bKCdN7ZIS0oFmTZsmWAYX4LMHwgnT59GoDBgwcDhqGlH330Ee3bt6dUqVLEx8ezb98+zpw5w/PPP28yZK9GjRq0adOG+fPnEx4eTqlSpdiyZQvBwcFMmTIlb08uA5k5d4Bhw4bxxhtvMHbsWHr06KHOsNm4cWOTf9j56dyfNmrUKJ577jmqVq2Ks7Mzly5dYtOmTRQrVoyBAwea1B09ejRTp05l4sSJtGvXjmvXrvHHH3/QvXt3k19cli4/v19Z8cEHH2Bvb0+tWrXw8PDgxo0bbNiwAQcHB5OOk5m9zi3Z77//TlRUlHo74sCBAzx48AAwzKTr4uLCq6++yu7du5kwYQK9e/cmNjaWlStXUrFiRZOWx2LFitGnTx9WrlxJUlIS1atXZ9++fZw+fZr//e9/WFtba3KO5mR03pGRkQwdOpT27dtTtmxZAI4cOcKhQ4do2rQpLVu2VJ8rP513btApiqJoHYQwaNWqVZrb9u7dCxiagn/66SfOnz9PWFgYVlZWlCtXju7du9OjR49Uo2Li4+PV9U2ioqKoWLEiw4YNM/klbgkyc+5Gp0+fVtcocXJyok2bNowcOTLVGiX55dyftmDBAg4dOsS9e/fUPgnNmzcnICAAT0/PVPX37dvH0qVLCQoKws3NjS5duqSaEyc/yK/vV1asXbuW7du3c+fOHaKjo3F3d6dhw4YEBARQunRpk7qZvc4tVd++fQkODja7bfXq1eoyDtevX0+1Fs8bb7yR6lrX6/X8+uuvrF+/ntDQUEqXLs0rr7xCx44dc/1csiKj83ZxcWHOnDmcPXuW0NBQ9Ho9pUqVokOHDvTv3z/Vv9v8ct65QRIUIYQQQlgc6YMihBBCCIsjCYoQQgghLI4kKEIIIYSwOJKgCCGEEMLiSIIihBBCCIsjCYoQQgghLI4kKEIIIYSwOJKgCCGEEMLiSIIi0rV582ZatWrF5s2btQ4lUwIDA2nVqhWLFy/OtWO0atWKcePG5drzFxZ9+/alb9++Wodh8RYvXkyrVq0IDAzM1eOsWbOGtm3bcu/evUzVz4t/a/nZJ598Qp8+fYiPj9c6lHxLEpQC5rPPPqNVq1Z079491aKCBUV++2KLiIjgxx9/ZNCgQXTo0IEOHTrQp08fJkyYwJIlSwgLC8uTODJKNseNG5fukgOFSWxsLJ07d6ZVq1Z8/fXXWoeT6yIjI1m+fDldu3ZVp6AXzyYgIICQkBB+++03rUPJt/LXYh0iXTExMezatQudTsfjx4/Zt28f7dq1e6bn9PPzo0aNGnh5eeVQlIXLgwcPGD16NA8ePKBKlSp06dIFV1dXQkND+e+//1iyZAm1a9c2u8ZOQffNN99oHUKadu3aRUxMDDqdjh07dvDGG29gb2+vdVi5Zs2aNTx+/JiXX35Z61AKjDJlyuDr68uvv/5Kr169cHR01DqkfEcSlALkn3/+ITY2lr59+7J27Vo2btz4zAmKi4sLLi4uORRh4bN48WIePHjA0KFDTVZlNrp69WqhfX1LlSqldQhp2rhxI9bW1vTs2ZPffvuNvXv30qFDB63DyhVJSUn8/fff1K5d26Lfk/yoY8eO7N27l507d9K9e3etw8l3JEEpQIwfqgMGDODq1aucOHGC4OBgfHx8TOotXryYpUuXpvk8Pj4+rFmzBjDcFpg5cyZTp041Wf68VatW1KtXj//973/MmzePo0ePkpCQQN26dZkwYQIlS5bkxo0bzJ8/n1OnTpGUlESTJk148803TVoLAgMDGT9+PAEBAQwZMsQkjnv37tGvXz86d+7MtGnT1McpYzAyt/+FCxeYP38+Z8+excrKigYNGjBmzJhUTdh79+5l165dXLhwgZCQEGxsbKhUqRK9e/fG398//Rc9A2fPngWgZ8+eZrdXqlTJbPndu3f55ZdfOHr0KKGhoTg7O1O+fHm6dOmivg+JiYmsX7+egwcPcuPGDcLDw3F2dqZ27doMHjyY5557Tn2+Tz/9lC1btgAwc+ZMZs6caXL+KV/LlH8bX3ujq1evsmLFCk6ePMnjx4/x8vLC19eX1157DTc3N7VeyvduwIABLFiwgFOnTvH48WN1JVvjbTrjtQZPrs05c+YQEhLCypUruXnzJi4uLrRp04bXX389VUtGUlISq1at4u+//yYkJISiRYvSrVs32rZtS//+/VOdQ0Zu3rzJmTNnaNGihUmyby5BSXn9tmjRIlPXG8CePXv4+eefuX79Os7Ozvj6+jJq1CiGDh2a6jVJT2bfj/QcOXKE0NBQBgwYYHZ7fHw8S5YsYfv27URERFCqVCl69+6davXllO7evcuKFSs4evQojx49wtXVlSZNmjBkyJBUn0eQtdfDeC2vWrWKvXv3snHjRu7evUu7du3U9/nRo0f8/PPPHDx4kAcPHuDk5ETdunUZMmQIFStWTHX8rNS/desWP//8M4GBgYSGhuLg4ECxYsWoX78+Y8eONVlRvnnz5jg4OLBlyxZJULJBEpQC4saNG5w9e5ZmzZrh6elJp06dOH78OJs2bUr1xV2/fn2zzxEUFMSuXbsy3ZQdGRnJG2+8gZeXF506deL27dscPHiQt956i08//ZQxY8ZQtWpVunbtyqVLl9izZw+PHz9mzpw52TpHFxcXAgICWLt2LQC9e/dO85wuXLjAypUrqV+/Pj169ODy5cvs27ePa9eusXTpUpNznD9/PjY2NtSuXRsvLy/Cw8M5cOAA77//PuPHj6dXr17ZihdQvyRu3bpFjRo1MrXP6dOnmTJlCjExMTRp0oR27doRGRnJ5cuXWbt2rZqgPH78mG+//ZY6derQrFkzXF1duXfvHgcOHODw4cN8++23VK9eHTDcqouKimL//v20bNmSypUrmxwzICCALVu2EBwcTEBAgFpepUoV9e/9+/fz4YcfotPpaNmyJcWKFePGjRusW7eOI0eO8NNPP+Hq6mryvHfu3GHUqFFUrFiRzp078/jxY2xtbTN8DYzP6evrS4MGDTh8+DC///47ERERvP/++yZ1Z82axdatWylZsiQvvvgiiYmJrFmzhv/++y9Tr/fTNm7cCECnTp0oXrw49erVIzAwkLt371KyZEmz+2Tletu4cSOzZs3C2dmZTp064eLiwqFDh3jrrbdISkrCxiZzH8vZeT/MOX78OAA1a9ZMtU2v1zN16lSOHTtGxYoVad++PY8fP+a7775L83Pk3LlzvP3228TGxtKiRQtKly5NcHAw27dv5/Dhw8ybN8/kdczu6zF79mzOnTtH8+bNadGiBR4eHoDhmhs3bhwPHz6kcePGtGzZkvDwcPbs2cPRo0f55ptvTP4tZqV+SEgII0eOJC4ujubNm9O2bVvi4uK4ffs2f/75J6NHjzaJ19bWlueee46zZ88SGxsrt3myShEFwrfffqv4+fkpO3bsUBRFUaKjo5WOHTsqvXv3VpKTkzPcPywsTOnTp4/Srl075fTp02r5pk2bFD8/P2XTpk0m9f38/BQ/Pz/l22+/NSn/6quvFD8/P6VLly7KmjVr1HK9Xq9MmjRJ8fPzUy5cuKCWnzhxQvHz81MWLVqUKqa7d+8qfn5+yowZM0zK+/Tpo/Tp08fseRifL+VrYTR9+nSz5Xfu3En1PNHR0crgwYOVLl26KLGxsanOfezYsWaP/7S1a9cqfn5+So8ePZRFixYpJ06cUKKiotKsHx8fr/Ts2VNp3bq1cujQoVTb79+/b1L3wYMHqepcu3ZN6dixo/Lmm2+alKf1XhqNHTtW8fPzM7stPDxc6dy5s9KzZ0/l3r17Jtt27Nih+Pn5Kd98841aZnzv0npvFcX8+7ho0SL1+gkKClLL4+LilAEDBiitW7dWHj58qJYfO3ZM8fPzU4YMGWLyPj18+FB54YUXzF4/6UlMTFReeOEFpUuXLkpcXJyiKIqyceNGxc/PT1mwYEGq+lm93h4/fqx07NhR6dixo3Lz5k2T444fP17x8/NL8zU5ceKEWpbV9yM9w4cPV1q3bq3Ex8en2ma8Zt5++20lKSlJLb9y5YrStm3bVO9vYmKi0qdPH6VTp07KxYsXTZ7r1KlTir+/vzJlypRnej1mzJih+Pn5KT179lSCg4NTxTxq1CjF399fOXz4sEn5zZs3lU6dOimDBw/Odn3jv+eUn21GERERqcoU5cln8/Hjx81uF2mTUTwFQFJSEtu2bcPZ2ZmWLVsC4OTkhJ+fH/fv3+fYsWPp7h8fH8+0adMIDg7mnXfeoXbt2pk6rqOjI8OGDTMpM/Z5cXNzM2nh0Ol06rarV69m+tyyq27duqn633Tt2hWA8+fPm5Sb+1Xs5OREly5diIqK4sKFC9mOo2fPnrz88stERUWxdOlSxo8fT9euXRk0aBA//vgjISEhJvX379/Pw4cP6dChA02bNk31fMWKFVP/trOzo2jRoqnqVKhQgfr166u31nLC1q1biY6OZsSIEama6Nu1a8dzzz3Hzp07U+3n6enJwIEDs3y83r17U7ZsWfWxvb097dq1Q6/Xc/HiRbV827ZtAAwePBgHBwe13Nvb2+T6y6x///2XsLAw2rRpo7Z6+Pv74+DgwObNm9Hr9Wb3y+z1tn//fmJjY+natStlypRRy21sbFL9W0pPdt8Pcx4+fIiLiwt2dnapthlvCw4bNgxra2u1vFKlSnTs2DFV/YMHDxIcHMzLL79scosRoE6dOvj6+nLo0CGio6OBZ3s9Xn75ZYoXL25SdunSJf777z86depEkyZNTLaVKVOG7t27c+3aNa5du5at+kbmWpmLFCliNk5jy87Dhw/TPR+RmtziKQD2799PeHg43bp1M/mH06lTJ7Zt28bGjRtT/eMzUhSFTz/9lLNnz/Laa6/Rvn37TB+3dOnSJl8KgDrap2LFiib3YlNue/pLOTdUrVo1VZnxyzwqKsqk/NGjR/zyyy8cOnSI+/fvp5q34Fni1el0jBo1ipdffplDhw5x7tw5Lly4wKVLl7hx4wbr16/nyy+/VJuQjV9mjRs3ztTzX758mZUrV3L69GnCwsJSJSTh4eF4e3tnO34jY1+ac+fOcefOnVTbExISiIiIIDw8HHd3d7W8cuXKmbql87Snv9zgSXKW8v27cuUKYPjye1qtWrWyfNy///4bMPzbMXJycqJly5bs2LGDI0eO0KxZs1T7ZfZ6Mybn5uKtUaOGSRKQnuy+H+Y8fvzYbKJrjNfR0dHs+dWpU0e9HfZ0XDdv3jQ7P0pYWBh6vZ5bt25RrVq1Z3o9jLcvUzp37hxg+Ddt7vg3b95U/1+xYsUs1zf2M/rmm284fvw4TZs2pV69emne+oMniUtERESadYR5kqAUACnvmafUsGFDihYtyoEDB3j8+LHZDH/hwoXs2rWL9u3b89prr2XpuM7OzqnKjB8o6W3LqV/16XFyckrz+Cl/BT9+/JgRI0Zw//59ateuTaNGjXBxccHKyoorV66wf/9+EhMTnzked3d3OnfuTOfOnQEIDQ1l9uzZ7Nmzhy+++IIlS5YAqL8s0/rCSOnMmTO8+eabADRq1IjSpUur571//36uXLmSI7GDob8RwB9//JFuvbi4OJPHxl+PWZXe9ZPy/YuJicHKyspsh9CsDt0OCQnhyJEjlCxZMtUXZufOndmxYwebNm0ym6Bk9nozvr/mXpe0zsOc7L4f5tjb26c5Z1J0dHSa16K519cY1/bt2zMV17O8Hub2efz4MWBoCfv333/T3Dc2NjZb9UuUKMG8efNYsmQJhw4dYteuXQCULVuWoUOH0qZNm1T7Gn/wFORh6rlFEpR87v79+xw9ehQg3dlNt23blqrJe/PmzaxYsYLatWvzzjvv5GqcaTG2siQnJ6faZvzwyk0bN27k/v37ZocB//zzz+zfvz9Xjuvl5cV7773Hv//+y9WrV4mIiMDNzU0dcpyZ5uAVK1aQkJDAd999l+oL1fjLMKcYv4CXLl1qdhREWp5uRctpTk5O6PV6IiIiUrUUZHUCvM2bN5OcnMzdu3fTnLDuwIEDmWqVSIsx8Xr06FGqbcbzyExymt33wxw3N7c0rzdnZ+c0f/mbe32NcX322We0aNEiw2M/y+th7toyPl9mO7dntT4YWoc/+eQTkpKSuHjxIocPH2bt2rV8+OGHeHt7p7pFbkyCsnvNFGbSByWf27JlC3q9njp16tCtW7dU/xl/sT/dFHvy5Em+/PJLSpYsyYwZM8zef84LxlEG5m6jXL582ew+VlZWZhOa7DA2jxv77qR0+vTpHDlGWmxtbVM1YRubrY1JZ3ru3r1LkSJFUiUncXFxXLp0KVV9KyvDP/e0Xrv0thtvQRmb8C2FcTTSmTNnUm3LyigeRVHYtGkTAF26dDH7b6lWrVokJiaq/V6ywzis3Fy858+fz/R1nZPvR8WKFUlISOD+/fuptlWqVInY2FiTfj9G5v59ZDWunHo9jIz/fjJ7/KzWT8nGxoaaNWsyZMgQxo8fj6IoHDx4MFW9W7duATxzIlkYSYKSjxk/VHU6HdOmTWPKlCmp/ps2bRo1a9bk6tWramfPW7du8d5772Fvb89nn32maWZftmxZnJyc1NtQRmFhYSxfvtzsPkWKFCEiIiJH1rgwdjB8+gNy+/btHDp06Jmff9WqVQQFBZndtm7dOmJjYylbtqzalO3r60vRokXZvn07R44cSbVPyl+6xYsXJzIykuvXr6tlycnJ/PDDD4SHh6fa13iL78GDB2bjSW97165dcXJyYsGCBSbHM4qLi9MkeTHOTbJ06VKT6yE0NFQdjp4ZJ0+e5M6dO9StW5epU6ea/bdkbGV8OtnPipYtW+Lo6MjGjRtN+o4kJSWxaNGiTD9PTr4f9erVA8y3uhlvGy9cuNAkWbh69arZRK1ly5YUL16c1atXc/LkyVTbk5KSTBKbnHo9jGrUqEGNGjXYuXOn2U7Cer3eJK6s1r948aLZll1ja5K5H3rnzp3Dy8vLpBOwyBy5xZOPnThxgnv37mXYSatr166cPXuWjRs3Uq1aNebOncvjx49p1KgR//zzT6r6Li4uebbWja2tLb169WLFihUMGzYMX19fYmNjOXDgAPXq1TPbAbB+/fpcuHCByZMnU6dOHWxsbKhbt676QZsVHTt25Ndff2XOnDkEBgZSvHhxrly5wokTJ2jVqhV79+59pvPbtm0bP/zwAxUrVqRGjRp4eHgQGRnJuXPnuHTpEvb29kycOFGtb2dnx0cffcSkSZOYNGkSTZo0oXLlykRHR3PlyhXi4+PVD+5evXpx9OhR3njjDdq0aYOdnR0nT54kJCSE+vXrp1pcrmbNmtjb27N27VoiIyPVxNR4a6tBgwbs3r2b//3vfzRt2hQ7OzsqV66Mr68v7u7ufPDBB7z//vsMGTLk/9q7v5Cm3jCA419nzVJmQc6/YYEUCIPBbEpmRMOLisrd7MYbFQkihv2BQiQCBwWV3kjSTUuwlQjWhWgZzkqEo5MtxA51FQQp2kRCJkHNYRey4a+tUNvPTXo+1y/sPc85jOf997yUlpZSWFhIMBhkdnaWiYkJDAYDLS0tfxWv9Tp06BCVlZW43W5qa2upqKggGAzy+vVriouLURQlMjP0J+GkI3zyJpbCwkIMBgOqqvL+/fs117VZTafTYbfbuXv3LufOncNisZCRkcHY2BharZasrKw1LYvF831UVFTQ3t6O1+uN2kMR3nvj8Xior6+nrKyMQCDA0NAQZrM5asZAq9XicDi4du0aDQ0NmEymyIb52dlZJicn2bVrFy6XK67xWO3GjRtcunSJ5uZmenp6OHDgAGlpafj9flRVZWFhAbfbvaH2L1++pLe3F6PRSEFBAenp6Xz69AmPx0NmZmbU9zM9Pc3MzAxWq3VdzyBWSIKyhYX/VFdXeI3FYrHQ1tbG0NAQdrs9MtL0er0xjyDn5uZu6mV89fX1bNu2jf7+fnp7e8nNzaWmpoby8nKGh4ej2tfU1LC4uIiiKExOThIKhaitrd1QgpKdnU1bWxv379/H6/USCoU4ePAgra2t+P3+v05QGhsbURSFt2/fMj4+ztevX9FoNOTk5GC1WrHZbFEjK4PBwIMHD3C5XIyPj+Pz+dDpdOzfv5+qqqpIu/LychwOBy6Xi8HBQdLS0jCZTNy8eTNmpeDMzEwcDgcdHR309fVFvoNwgnL69GlmZmZ49eoVT548IRQKceLECY4cOQKsVMV0Op10dXXh8/nwer3s2LEDvV7PyZMnYx473QxNTU3s27eP58+f8+zZM/R6PTabDZPJhKIoMTewrra4uMjw8DA7d+7k2LFjf2x76tQpVFWlv79/QwkKwJkzZ9DpdDx69IiBgYFI5dTz589js9nWXG4+Xu8jLy8Ps9nMmzdvuHjx4n9mATQaDbdu3aKjowO3283Tp0/Jz8/Hbrezd+/emEsaxcXFPHz4kK6uLsbGxlBVle3bt5OVlcXRo0ejjmPHKx5h+fn5OJ1Ouru7GRkZ4cWLF2g0Gvbs2YPRaIyqDr2e9pWVlfz48YN3797x4cMHgsEger2eqqqqmMeew7NMZ8+eXdcziBUpy8vLy4nuhBBCxFtfXx937tzhypUrW2IEOzU1RXV1NcePH6e5uXlTf9vn83H58mWuX7+esETzV4mMRzwsLS1RXV1NXl7ehqtn/+tkD4oQYkubn5/n13HW3NwcnZ2dpKamcvjw4QT1LLZAIBB1rPf79+/cu3cPWLmWYLOVlJRQVlZGZ2fnb4vR/V+SMR7xMDAwwJcvX7hw4UKiu7JlyRKPEGJLe/z4MaOjoxiNRnbv3o3f70dRFL59+0ZdXV3UtHuiTUxMcPv2bcxmM9nZ2SwsLEQu9jSZTFgsloT0q6GhgcHBQebm5jY1Zskaj7+VkpLC1atXYxa5E2sjSzxCiC3N4/HQ3d3Nx48fCQQCaLVaioqKsFqtMW8gTrTPnz/jdDpRVTVy2qqgoCBy+/K/VtBL4iF+RxIUIYQQQiQd2YMihBBCiKQjCYoQQgghko4kKEIIIYRIOpKgCCGEECLpSIIihBBCiKQjCYoQQgghko4kKEIIIYRIOpKgCCGEECLpSIIihBBCiKTzE0F2pEH8VxknAAAAAElFTkSuQmCC", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "mu_100: 0.31\n" + ] + } + ], + "source": [ + "asads['unpolarized'] = grb_polarization.create_unpolarized_asad()\n", + "\n", + "asads['polarized'] = grb_polarization.create_polarized_asads()\n", + "\n", + "mu_100 = grb_polarization.calculate_mu100(asads['polarized'], asads['unpolarized'])" + ] + }, + { + "cell_type": "markdown", + "id": "7fb2ffdb", + "metadata": {}, + "source": [ + "Plot the ASADs" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "8fc63ee4", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "titles = {'grb': 'GRB ASAD', 'grb & background': 'GRB+background ASAD', 'background': 'Background ASAD', 'unpolarized': 'Unpolarized ASAD'}\n", + "for key in titles.keys():\n", + " grb_polarization.plot_asad(asads[key]['counts'], asads[key]['uncertainties'], titles[key])" + ] + }, + { + "cell_type": "markdown", + "id": "539abbb2", + "metadata": {}, + "source": [ + "Divide the GRB ASAD by the unpolarized ASAD to correct for instrumental effects" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "50e01dd4", + "metadata": {}, + "outputs": [], + "source": [ + "asad_corrected = grb_polarization.correct_asad(asads['grb'], asads['unpolarized'])" + ] + }, + { + "cell_type": "markdown", + "id": "3275a6a6", + "metadata": {}, + "source": [ + "Calculate the minimum detectable polarization (MDP) of the GRB " + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "d79420fd", + "metadata": {}, + "outputs": [], + "source": [ + "source_counts = np.sum(asads['grb']['counts'])\n", + "background_counts = np.sum(background_asad_grb_duration)\n", + "\n", + "mdp = 4.29 / mu_100['mu'] * np.sqrt(source_counts + background_counts) / source_counts" + ] + }, + { + "cell_type": "markdown", + "id": "2ffedf1b", + "metadata": {}, + "source": [ + "Fit the polarization fraction and angle of the GRB" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "2f180dd5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Best fit polarization fraction: 0.88 +/- 0.183\n", + "Best fit polarization angle: 80.116 +/- 5.942\n", + "MDP: 0.451 \n", + "\n" + ] + } + ], + "source": [ + "polarization = grb_polarization.fit(mu_100, asad_corrected['counts'], bounds=([0, 0, 0], [np.inf,np.inf,np.pi]), sigma=asad_corrected['uncertainties'])\n", + "\n", + "if mdp > polarization['fraction']:\n", + " print('Polarization fraction is below MDP!', 'MDP:', round(mdp, 3))\n", + "else:\n", + " print('MDP:', round(mdp, 3))" + ] + }, + { + "cell_type": "markdown", + "id": "f7f553e1", + "metadata": {}, + "source": [ + "Plot the corrected ASAD for the GRB with the best fit sinusoidal function" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "c1f14711", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "grb_polarization.plot_asad(asad_corrected['counts'], asad_corrected['uncertainties'], 'Corrected ' + titles['grb'], coefficients=polarization['best fit parameter values'])" + ] + }, + { + "cell_type": "markdown", + "id": "57a5362a", + "metadata": {}, + "source": [ + "Transform polarization angle to different conventions" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "7e456b61", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RelativeX: 107.101 degrees\n", + "RelativeY: 17.101 degrees\n", + "RelativeZ: 107.101 degrees\n", + "IAU: 80.116 degrees\n" + ] + } + ], + "source": [ + "print('RelativeX:', round(polarization['angle'].transform_to(MEGAlibRelativeX(attitude=attitude)).angle.degree, 3), 'degrees')\n", + "print('RelativeY:', round(polarization['angle'].transform_to(MEGAlibRelativeY(attitude=attitude)).angle.degree, 3), 'degrees')\n", + "print('RelativeZ:', round(polarization['angle'].transform_to(MEGAlibRelativeZ(attitude=attitude)).angle.degree, 3), 'degrees')\n", + "print('IAU:', round(polarization['angle'].transform_to(IAUPolarizationConvention()).angle.degree, 3), 'degrees')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ee9644fb", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tests/polarization/test_polarization_asad.py b/tests/polarization/test_polarization_asad.py new file mode 100644 index 00000000..a946894f --- /dev/null +++ b/tests/polarization/test_polarization_asad.py @@ -0,0 +1,168 @@ +import numpy as np +from astropy.coordinates import Angle, SkyCoord +from astropy import units as u +from scoords import SpacecraftFrame + +from cosipy.polarization import PolarizationASAD, calculate_uncertainties +from cosipy.polarization.conventions import IAUPolarizationConvention +from cosipy.spacecraftfile import SpacecraftFile +from cosipy import UnBinnedData +from cosipy.threeml.custom_functions import Band_Eflux +from cosipy import test_data + +analysis = UnBinnedData(test_data.path / 'polarization_data.yaml') +data = analysis.get_dict_from_hdf5(test_data.path / 'polarization_data.hdf5') +response_path = test_data.path / 'test_polarization_response.h5' +sc_orientation = SpacecraftFile.parse_from_file(test_data.path / 'polarization_ori.ori') +attitude = sc_orientation.get_attitude()[0] + +a = 10. * u.keV +b = 10000. * u.keV +alpha = -1. +beta = -2. +ebreak = 350. * u.keV +K = 50. / u.cm / u.cm / u.s +spectrum = Band_Eflux(a = a.value, + b = b.value, + alpha = alpha, + beta = beta, + E0 = ebreak.value, + K = K.value) +spectrum.a.unit = a.unit +spectrum.b.unit = b.unit +spectrum.E0.unit = ebreak.unit +spectrum.K.unit = K.unit + +source_direction = SkyCoord(0, 70, representation_type='spherical', frame=SpacecraftFrame(attitude=attitude), unit=u.deg) + +polarization = PolarizationASAD(source_direction, spectrum, response_path, sc_orientation) + +bin_edges = Angle(np.linspace(-np.pi, np.pi, 10), unit=u.rad) + +def test_calculate_uncertainties(): + + assert np.allclose(calculate_uncertainties([1, 2, 3, 5, 10, 50, 100, 1000, 1e4, 1e5]), + np.array([[0.82724622, 1.29181456, 1.63270469, 2.15969114, 3.16227766, 7.07106781, 10., 31.6227766, 100., 316.22776602], + [2.29952656, 2.63785962, 2.91818583, 3.38247265, 3.16227766, 7.07106781, 10., 31.6227766, 100., 316.22776602]])) + +def test_convolve_spectrum(): + + assert 'Pol' in polarization._expectation.axes.labels + + assert np.allclose(polarization._expectation.project('Em').contents[0], 7657.331992884072, atol=5.0) + + assert np.allclose([polarization._azimuthal_angle_bins[5].rad, polarization._azimuthal_angle_bins[12].rad, + polarization._azimuthal_angle_bins[25].rad, polarization._azimuthal_angle_bins[40].rad], + [-3.083541411881164, -1.5707963267948966, 0.371190531909648, 0.9731904991340073]) + +def test_calculate_azimuthal_scattering_angle(): + + assert np.allclose([polarization.calculate_azimuthal_scattering_angle(0, 0).rad, polarization.calculate_azimuthal_scattering_angle(np.pi/5, 0).rad, + polarization.calculate_azimuthal_scattering_angle(np.pi/2, -np.pi/7).rad, polarization.calculate_azimuthal_scattering_angle(np.pi/3, 3*np.pi/2).rad], + [1.5707963267948966, -1.5707963267948966, -1.097213841102146, 0.1949572818104049]) + +def test_polarization_asad_init(): + + source_direction_galactic = SkyCoord(0, 0, representation_type='spherical', frame='galactic', attitude=attitude, unit=u.deg) + polarization_iau = PolarizationASAD(source_direction_galactic, spectrum, response_path, sc_orientation, fit_convention=IAUPolarizationConvention()) + +def test_polarization_fit(): + + azimuthal_angles = polarization.calculate_azimuthal_scattering_angles(data) + + assert np.allclose([azimuthal_angles[150].rad, azimuthal_angles[3275].rad, azimuthal_angles[5780].rad, azimuthal_angles[7050].rad], + [-0.14553958772561387, 2.848889133943549, -2.2494887481804238, 1.2037585274409062]) + + asad = polarization.create_asad(azimuthal_angles, bin_edges) + + assert np.allclose([asad['counts'][0], asad['counts'][3], asad['counts'][6], asad['counts'][8]], [1114, 727, 587, 883]) + + assert np.allclose([asad['uncertainties'][0][0], asad['uncertainties'][1][3], + asad['uncertainties'][0][6], asad['uncertainties'][1][8]], + [33.37663853655727, 26.962937525425527, 24.228082879171435, 29.715315916207253]) + + asad_int_bins = polarization.create_asad(azimuthal_angles, 10) + + assert np.allclose([asad_int_bins['counts'][0], asad_int_bins['counts'][3], asad_int_bins['counts'][6], asad_int_bins['counts'][8]], [1114, 727, 587, 883]) + + assert np.allclose([asad_int_bins['uncertainties'][0][0], asad_int_bins['uncertainties'][1][3], + asad_int_bins['uncertainties'][0][6], asad_int_bins['uncertainties'][1][8]], + [33.37663853655727, 26.962937525425527, 24.228082879171435, 29.715315916207253]) + + asad_unpolarized = polarization.create_unpolarized_asad() + + assert np.allclose([asad_unpolarized['counts'][0], asad_unpolarized['counts'][3], asad_unpolarized['counts'][6], asad_unpolarized['counts'][8]], + [932.4137328357068, 906.8283258620892, 794.565967927462, 999.309350107182]) + + assert np.allclose([asad_unpolarized['uncertainties'][0][0], asad_unpolarized['uncertainties'][1][3], + asad_unpolarized['uncertainties'][0][6], asad_unpolarized['uncertainties'][1][8]], + [30.53545042791586, 30.11359038477626, 28.188046543303813, 31.61185458189984]) + + asad_unpolarized_int_bins = polarization.create_unpolarized_asad(bins=10) + + assert np.allclose([asad_unpolarized_int_bins['counts'][0], asad_unpolarized_int_bins['counts'][3], + asad_unpolarized_int_bins['counts'][6], asad_unpolarized_int_bins['counts'][8]], + [932.4137328357068, 906.8283258620892, 794.565967927462, 999.309350107182]) + + assert np.allclose([asad_unpolarized_int_bins['uncertainties'][0][0], asad_unpolarized_int_bins['uncertainties'][1][3], + asad_unpolarized_int_bins['uncertainties'][0][6], asad_unpolarized_int_bins['uncertainties'][1][8]], + [30.53545042791586, 30.11359038477626, 28.188046543303813, 31.61185458189984]) + + asad_unpolarized_bin_list = polarization.create_unpolarized_asad(bins=bin_edges) + + assert np.allclose([asad_unpolarized_bin_list['counts'][0], asad_unpolarized_bin_list['counts'][3], + asad_unpolarized_bin_list['counts'][6], asad_unpolarized_bin_list['counts'][8]], + [932.4137328357068, 906.8283258620892, 794.565967927462, 999.309350107182]) + + assert np.allclose([asad_unpolarized_bin_list['uncertainties'][0][0], asad_unpolarized_bin_list['uncertainties'][1][3], + asad_unpolarized_bin_list['uncertainties'][0][6], asad_unpolarized_bin_list['uncertainties'][1][8]], + [30.53545042791586, 30.11359038477626, 28.188046543303813, 31.61185458189984]) + + asad_polarized = polarization.create_polarized_asads() + + assert np.allclose([asad_polarized['counts'][0][0], asad_polarized['counts'][1][3], asad_polarized['counts'][2][6], asad_polarized['counts'][3][8]], + [229.70809288956985, 231.350661957243, 197.93859480541153, 243.6223882118957]) + + assert np.allclose([asad_polarized['uncertainties'][0][0][0], asad_polarized['uncertainties'][1][1][3], + asad_polarized['uncertainties'][2][0][6], asad_polarized['uncertainties'][3][1][8]], + [15.1561239401626, 15.210215710411308, 14.069065171695366, 15.608407612946802]) + + asad_polarized_int_bins = polarization.create_polarized_asads(bins=10) + + assert np.allclose([asad_polarized_int_bins['counts'][0][0], asad_polarized_int_bins['counts'][1][3], + asad_polarized_int_bins['counts'][2][6], asad_polarized_int_bins['counts'][3][8]], + [229.70809288956985, 231.350661957243, 197.93859480541153, 243.6223882118957]) + + assert np.allclose([asad_polarized_int_bins['uncertainties'][0][0][0], asad_polarized_int_bins['uncertainties'][1][1][3], + asad_polarized_int_bins['uncertainties'][2][0][6], asad_polarized_int_bins['uncertainties'][3][1][8]], + [15.1561239401626, 15.210215710411308, 14.069065171695366, 15.608407612946802]) + + asad_polarized_bin_list = polarization.create_polarized_asads(bins=bin_edges) + + assert np.allclose([asad_polarized_bin_list['counts'][0][0], asad_polarized_bin_list['counts'][1][3], + asad_polarized_bin_list['counts'][2][6], asad_polarized_bin_list['counts'][3][8]], + [229.70809288956985, 231.350661957243, 197.93859480541153, 243.6223882118957]) + + assert np.allclose([asad_polarized_bin_list['uncertainties'][0][0][0], asad_polarized_bin_list['uncertainties'][1][1][3], + asad_polarized_bin_list['uncertainties'][2][0][6], asad_polarized_bin_list['uncertainties'][3][1][8]], + [15.1561239401626, 15.210215710411308, 14.069065171695366, 15.608407612946802]) + + mu_100 = polarization.calculate_mu100(asad_polarized, asad_unpolarized) + + assert np.allclose([mu_100['mu'], mu_100['uncertainty']], + [0.02068036893603115, 9.3940548992881e-07], atol=[0.01, 1e-7]) + + asad_corrected = polarization.correct_asad(asad, asad_unpolarized) + + assert np.allclose([asad_corrected['counts'][0], asad_corrected['counts'][3], asad_corrected['counts'][6], asad_corrected['counts'][8]], + [1.230972371153726, 0.826002019945234, 0.7611669401887197, 0.9104005858437615]) + + assert np.allclose([asad_corrected['uncertainties'][0][0], asad_corrected['uncertainties'][1][3], + asad_corrected['uncertainties'][0][6], asad_corrected['uncertainties'][1][8]], + [0.05463841596540586, 0.04112013917034527, 0.04142682980425702, 0.04204822825061025]) + + polarization_fit = polarization.fit(mu_100, asad_corrected['counts'], bounds=([0, 0, 0], [np.inf,np.inf,np.pi]), sigma=asad_corrected['uncertainties']) + + assert np.allclose([polarization_fit['fraction'], polarization_fit['fraction uncertainty'], + polarization_fit['angle'].angle.rad, polarization_fit['angle uncertainty'].rad], + [15.270059610935844, 2.3931615504423474, 1.53994098472832, 0.07217196641713962], atol=[1.0, 0.5, 1.0, 0.1])