From 3bb8fad7b6d44ea1d60941eb6a8275a64b236cc4 Mon Sep 17 00:00:00 2001 From: vedina Date: Wed, 30 Oct 2024 20:47:49 +0200 Subject: [PATCH 01/38] option for peak matching --- src/ramanchada2/misc/utils/argmin2d.py | 177 ++++++++++++++++++++++- src/ramanchada2/protocols/calibration.py | 152 ++++++++++++------- 2 files changed, 275 insertions(+), 54 deletions(-) diff --git a/src/ramanchada2/misc/utils/argmin2d.py b/src/ramanchada2/misc/utils/argmin2d.py index 0ff0d3ed..13a8bdff 100644 --- a/src/ramanchada2/misc/utils/argmin2d.py +++ b/src/ramanchada2/misc/utils/argmin2d.py @@ -83,7 +83,7 @@ def align_shift(x, y, return p -def match_peaks(spe_pos_dict, ref): +def match_peaks_cluster(spe_pos_dict, ref): # Min-Max normalize the reference values min_value = min(ref.values()) max_value = max(ref.values()) @@ -145,3 +145,178 @@ def match_peaks(spe_pos_dict, ref): clusters = np.append(clusters, cluster) sort_indices = np.argsort(x_spe) return (x_spe[sort_indices], x_reference[sort_indices], x_distance[sort_indices], df) + +def cost_function_position(p1, p2, order_weight=1.0 ,priority_weight=1.0): + order_penalty = order_weight * abs(p1[0] - p2[0]) + return order_penalty + +def cost_function(p1, p2, order_weight=1.0, priority_weight=.1): + """ + Modified cost function with an order preservation penalty and priority weighting. + + - `order_weight` increases penalty for large differences in the x-axis values. + - `priority_weight` decreases the cost for higher values in the y-axis for set_b points. + """ + order_penalty = order_weight * abs(p1[0] - p2[0]) + priority_bonus = priority_weight * p2[1] # Rewards points in set_b with higher second dimension values + #distance_cost = np.sqrt((p1[0] - p2[0])**2 + (p1[1] - p2[1])**2) + return order_penalty - priority_bonus + + +def normalize_tuples(tuples): + second_values = np.array([x[1] for x in tuples]) + min_val, max_val = second_values.min(), second_values.max() + normalized_values = (second_values - min_val) / (max_val - min_val) + # Replace the original second dimension with the normalized values + return [(tuples[i][0], normalized_values[i]) for i in range(len(tuples))] + + +def cost_matrix_peaks(spectrum_a_dict,spectrum_b_dict,threshold_max_distance=9, cost_func = None): + if cost_func is None: + cost_func = cost_function_position + peaks_a = np.array(list(spectrum_a_dict.keys())) + intensities_a = np.array(list(spectrum_a_dict.values())) + peaks_b = np.array(list(spectrum_b_dict.keys())) + intensities_b = np.array(list(spectrum_b_dict.values())) + + num_peaks_b = len(peaks_b) # Number of reference peaks to match + + # Normalize intensities using min-max normalization + def normalize_intensities(intensities): + min_intensity = np.min(intensities) + max_intensity = np.max(intensities) + return (intensities - min_intensity) / (max_intensity - min_intensity) + + intensities_a_normalized = normalize_intensities(intensities_a) + intensities_b_normalized = normalize_intensities(intensities_b) + + min_peak_b = np.min(peaks_b)-threshold_max_distance + max_peak_b = np.max(peaks_b)+threshold_max_distance + + num_peaks_a = len(peaks_a) + cost_matrix = np.full((num_peaks_a, num_peaks_b), np.inf) # Initialize with infinity + + for i in range(num_peaks_a): + #if peaks_a[i] < min_peak_b or peaks_a[i] > max_peak_b: + # continue + for j in range(num_peaks_b): + position_cost = abs(peaks_a[i] - peaks_b[j]) + #if position_cost > threshold_max_distance*2: + # continue + cost = cost_func([peaks_a[i],intensities_a_normalized[i]],[peaks_b[j],intensities_b_normalized[j]],priority_weight=2) + + cost_matrix[i, j] = cost + return cost_matrix + +def match_peaks(spectrum_a_dict,spectrum_b_dict,threshold_max_distance=9, df=False , cost_func = None): + """ + Match peaks between two spectra based on their positions and intensities. + + Uses scipy linear_sum_assignment to match peaks based on cost function + https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.linear_sum_assignment.html + + Parameters: + ---------- + spectrum_a_dict : dict + A dictionary representing the first spectrum, where keys are peak + positions (float) and values are peak intensities (float). + + spectrum_b_dict : dict + A dictionary representing the second spectrum, where keys are peak + positions (float) and values are peak intensities (float). + + threshold_max_distance : float, optional + The maximum allowed distance for two peaks to be considered a match. + Default is 5. + + df : bool, optional + If True, return a DataFrame with matched peaks and their respective + intensities; if False, return None + + Returns: + ------- + matched_peaks : (matched_peaks_a,matched_peaks_b,matched_distances, df) + + Examples: + --------- + >>> spectrum_a = {100: 10, 105: 20, 110: 15} + >>> spectrum_b = {102: 12, 106: 22, 111: 16} + >>> match_peaks(spectrum_a, spectrum_b) + + """ + cost_matrix = cost_matrix_peaks(spectrum_a_dict,spectrum_b_dict,threshold_max_distance=threshold_max_distance*2, cost_func = cost_function if cost_func is None else cost_func) + + # Use the Hungarian algorithm to find the optimal assignment + try: + row_ind, col_ind = linear_sum_assignment(cost_matrix) + + except Exception as err: + raise err + + # experiments with dynamic programming + #print(normalize_tuples(list(spectrum_a_dict.items()))) + + #matches, min_cost, _df = partial_ordered_match(normalize_tuples(list(spectrum_a_dict.items())), normalize_tuples(list(spectrum_b_dict.items())), + # order_weight=1.0, priority_weight=0, cost_func = cost_function_euclidean) + #print("matches",matches) + + # Prepare matched peaks and distances + # I am sure this could be done in a more efficient way + matched_peaks_a = [] + matched_peaks_b = [] + matched_distances = [] + intensity_a = [] + intensity_b = [] + + peaks_a = np.array(list(spectrum_a_dict.keys())) + intensities_a = np.array(list(spectrum_a_dict.values())) + peaks_b = np.array(list(spectrum_b_dict.keys())) + intensities_b = np.array(list(spectrum_b_dict.values())) + + last_matched_reference = -np.inf + last_matched_cost = np.inf + for i in range(len(row_ind)): + cost = cost_matrix[row_ind[i], col_ind[i]] + if abs(peaks_a[row_ind[i]]-peaks_b[col_ind[i]]) >= threshold_max_distance: + continue + if cost < np.inf: # Only consider valid pairs + current_reference = peaks_b[col_ind[i]] + if current_reference >= last_matched_reference: + matched_peaks_a.append(peaks_a[row_ind[i]]) + matched_peaks_b.append(current_reference) + matched_distances.append(cost) + last_matched_reference = current_reference + last_matched_cost = cost + intensity_a.append(intensities_a[row_ind[i]]) + intensity_b.append(intensities_b[col_ind[i]]) + elif last_matched_cost > cost: + matched_peaks_a[-1] = peaks_a[row_ind[i]] + matched_peaks_b[-1] = current_reference + matched_distances[-1] = cost + intensity_a[-1] = intensities_a[row_ind[i]] + intensity_b[-1] = intensities_b[col_ind[i]] + last_matched_cost = cost + + matched_peaks_a = np.array(matched_peaks_a) + matched_peaks_b = np.array(matched_peaks_b) + matched_distances = np.array(matched_distances) + + # Sort matched peaks by peaks_a + # linear_sum_assignment shall give the row_ind sorted + #sorted_indices = np.argsort(matched_peaks_a) + #matched_peaks_a = matched_peaks_a[sorted_indices] + #matched_peaks_b = matched_peaks_b[sorted_indices] + #matched_distances = matched_distances[sorted_indices] + + if df: + df = pd.DataFrame({ + 'spe': matched_peaks_a, + 'reference': matched_peaks_b, + 'distances': matched_distances, + 'intensity_a' : intensity_a, + 'intensity_b' : intensity_b + }) + else: + df = None + return (matched_peaks_a,matched_peaks_b,matched_distances,cost_matrix, df) + diff --git a/src/ramanchada2/protocols/calibration.py b/src/ramanchada2/protocols/calibration.py index 998d4a1b..ed2c2fef 100644 --- a/src/ramanchada2/protocols/calibration.py +++ b/src/ramanchada2/protocols/calibration.py @@ -139,11 +139,13 @@ def fitres2df(self, spe): class XCalibrationComponent(CalibrationComponent): - def __init__(self, laser_wl, spe, spe_units, ref, ref_units, sample="Neon"): + def __init__(self, laser_wl, spe, spe_units, ref, ref_units, sample="Neon",match_method = "cluster"): super(XCalibrationComponent, self).__init__( laser_wl, spe, spe_units, ref, ref_units, sample ) self.spe_pos_dict = None + self.match_method = match_method + self.cost_function = cost_function_position # @staticmethod # def from_json(filepath: str): @@ -207,44 +209,30 @@ def _plot_peaks(self, ax, **kwargs): # spe_to_process.plot(ax=ax[1],label=ref_units) def derive_model( - self, find_kw={"sharpening": None}, fit_peaks_kw={}, should_fit=False, name=None + self, find_kw=None, fit_peaks_kw=None, should_fit=False, name=None ): - + if find_kw is None: + find_kw = {"sharpening": None} + if fit_peaks_kw is None: + fit_peaks_kw = {} # convert to ref_units logger.debug( "[{}]: convert spe_units {} to ref_units {}".format( self.name, self.spe_units, self.ref_units ) ) - spe_to_process = self.convert_units(self.spe, self.spe_units, self.ref_units) - logger.debug("max x", max(spe_to_process.x), self.ref_units) - - peaks_df = None - self.fit_res = None - if should_fit: - # instead of fit_peak_positions - we don't want movmin here - # baseline removal might be done during preprocessing - center_err_threshold = 0.5 - find_kw.update(dict(sharpening=None)) - cand = spe_to_process.find_peak_multipeak(**find_kw) - # print(cand.get_ampl_pos_fwhm()) - fit_kw = dict(profile="Gaussian") - fit_kw.update(fit_peaks_kw) - self.fit_res = spe_to_process.fit_peak_multimodel(candidates=cand, **fit_kw) # type: ignore - peaks_df = self.fitres2df(spe_to_process) - # self.fit_res.to_dataframe_peaks() - pos, amp = self.fit_res.center_amplitude(threshold=center_err_threshold) - self.spe_pos_dict = dict(zip(pos, amp)) - else: - # prominence = prominence, wlen=wlen, width=width - logger.debug("find_peak_multipeak") - cand = spe_to_process.find_peak_multipeak(**find_kw) - self.spe_pos_dict = cand.get_pos_ampl_dict() - # print(cand.get_ampl_pos_fwhm()) - x_spe, x_reference, x_distance, df = rc2utils.match_peaks( - self.spe_pos_dict, self.ref - ) + peaks_df = self.fit_peaks(find_kw,fit_peaks_kw,should_fit) + x_spe, x_reference, x_distance, cost_matrix, df = self.match_peaks(threshold_max_distance=15,return_df=True) + + self.cost_matrix = cost_matrix self.matched_peaks = df + #if df is None: + # self.matched_peaks = pd.DataFrame({ + # 'spe': x_spe, + # 'reference': x_reference, + # 'distances': x_distance + # }) + sum_of_differences = np.sum(np.abs(x_spe - x_reference)) / len(x_spe) logger.debug( "sum_of_differences original {} {}".format( @@ -273,6 +261,47 @@ def derive_model( except Exception as err: raise err + def match_peaks(self, threshold_max_distance=9 , return_df = False): + if self.match_method == "cluster": + x_spe, x_reference, x_distance, df = match_peaks_cluster( + self.spe_pos_dict, self.ref + ) + cost_matrix = None + return x_spe, x_reference, x_distance,cost_matrix, df + else: + try: + x_spe, x_reference, x_distance,cost_matrix, df = match_peaks( + self.spe_pos_dict, self.ref, threshold_max_distance=threshold_max_distance,df=return_df, + cost_func=self.cost_function + ) + return x_spe, x_reference, x_distance,cost_matrix, df + except Exception as err: + raise err + + def fit_peaks(self,find_kw,fit_peaks_kw,should_fit): + spe_to_process = self.convert_units(self.spe, self.spe_units, self.ref_units) + logger.debug("max x", max(spe_to_process.x), self.ref_units) + + peaks_df = None + self.fit_res = None + + # instead of fit_peak_positions - we don't want movmin here + # baseline removal might be done during preprocessing + center_err_threshold = 0.5 + find_kw.update(dict(sharpening=None)) + cand = spe_to_process.find_peak_multipeak(**find_kw) + # print(cand.get_ampl_pos_fwhm()) + + self.fit_res = spe_to_process.fit_peak_multimodel(profile="Gaussian",candidates=cand, **fit_peaks_kw, no_fit = not should_fit) # type: ignore + peaks_df = self.fitres2df(spe_to_process) + # self.fit_res.to_dataframe_peaks() + if should_fit: + pos, amp = self.fit_res.center_amplitude(threshold=center_err_threshold) + self.spe_pos_dict = dict(zip(pos, amp)) + else: + self.spe_pos_dict = cand.get_pos_ampl_dict() + return peaks_df + class LazerZeroingComponent(CalibrationComponent): def __init__( @@ -288,13 +317,15 @@ def __init__( laser_wl, spe, spe_units, ref, ref_units, sample ) self.profile = "Pearson4" - # self.profile = "Gaussian" - def derive_model(self, find_kw={}, fit_peaks_kw={}, should_fit=True, name=None): - find_kw = dict(sharpening=None) + def derive_model(self, find_kw=None, fit_peaks_kw=None, should_fit=True, name=None): + if find_kw is None: + find_kw = {} + if fit_peaks_kw is None: + fit_peaks_kw = {} + cand = self.spe.find_peak_multipeak(**find_kw) logger.debug(self.name, cand) - # init_guess = self.spe.fit_peak_multimodel(profile='Pearson4', candidates=cand, no_fit=False) self.fit_res = self.spe.fit_peak_multimodel( profile=self.profile, candidates=cand, **fit_peaks_kw ) @@ -311,10 +342,11 @@ def derive_model(self, find_kw={}, fit_peaks_kw={}, should_fit=True, name=None): elif "center" in df.columns: zero_peak_nm = df.iloc[0]["center"] # https://www.elodiz.com/calibration-and-validation-of-raman-instruments/ - - msg = "Laser zeroing using {:.3f} nm".format(zero_peak_nm) - self.set_model(zero_peak_nm, "nm", df, msg) - logger.info(msg) + zero_peak_cm1 = self.zero_nm_to_shift_cm_1(zero_peak_nm, zero_peak_nm,list(self.ref.keys())[0]) + self.set_model( + zero_peak_nm, "nm", df, "Laser zeroing using {} nm {} cm-1 ({}) ".format(zero_peak_nm,zero_peak_cm1,self.profile) + ) + logger.info(self.name, f"peak {self.profile} at {zero_peak_nm} nm") # laser_wl should be calculated based on the peak position and set instead of the nominal def zero_nm_to_shift_cm_1(self, wl, zero_pos_nm, zero_ref_cm_1=520.45): @@ -566,6 +598,7 @@ def _plot(self, ax, **kwargs): self.ref.plot(ax, **kwargs) + class CalibrationModel(ProcessingModel, Plottable): """ A class representing a calibration model for Raman spectrum. @@ -582,20 +615,22 @@ def __init__(self, laser_wl: int): Example: ```python # Create an instance of CalibrationModel - calmodel = CalibrationModel(laser_wl=785) - calmodel.derive_model_x( + import ramanchada2 as rc2 + import ramanchada2.misc.constants as rc2const + from ramanchada2.protocols.calibration import CalibrationModel + laser_wl=785 + calmodel = CalibrationModel.calibration_model_factory( + laser_wl, spe_neon, - spe_neon_units="cm-1", - ref_neon=None, - ref_neon_units="nm", - spe_sil=None, - spe_sil_units="cm-1", - ref_sil=None, - ref_sil_units="cm-1" - ) - # Store + spe_sil, + neon_wl=rc2const.NEON_WL[laser_wl], + find_kw={"wlen": 200, "width": 1}, + fit_peaks_kw={}, + should_fit=False, + ) + # Store (optional) calmodel.save(modelfile) - # Load + # Load (optional) calmodel = CalibrationModel.from_file(modelfile) # Apply to new spectrum calmodel.apply_calibration_x( @@ -651,6 +686,7 @@ def derive_model_x( find_kw={"wlen": 200, "width": 1}, fit_kw={}, should_fit=False, + match_method = "cluster" ): """ Derives x-calibration models using Neon and Silicon spectra. @@ -670,6 +706,7 @@ def derive_model_x( fit_peaks_kw=fit_kw, should_fit=should_fit, name="Neon calibration", + match_method= match_method ) spe_sil_ne_calib = model_neon.process( spe_sil, spe_units=spe_sil_units, convert_back=False @@ -698,6 +735,7 @@ def _derive_model_curve( fit_peaks_kw=None, should_fit=False, name="X calibration", + match_method = "cluster" ): if find_kw is None: find_kw = {} @@ -710,6 +748,7 @@ def _derive_model_curve( spe_units=spe_units, ref=reference_peaks, ref_units=ref_units, + match_method=match_method ) calibration_x.derive_model( find_kw=find_kw, fit_peaks_kw=fit_peaks_kw, should_fit=should_fit, name=name @@ -727,6 +766,7 @@ def derive_model_curve( fit_peaks_kw={}, should_fit=False, name="X calibration", + match_method = "cluster" ): warnings.warn( message="Do not use directly. Use derive_model_x instead.", @@ -741,6 +781,7 @@ def derive_model_curve( fit_peaks_kw=fit_peaks_kw, should_fit=should_fit, name=name, + match_method=match_method ) def _derive_model_zero( @@ -753,7 +794,7 @@ def _derive_model_zero( fit_peaks_kw=None, should_fit=False, name="Laser zeroing", - profile="Gaussian", + profile="Pearson4", ): if ref is None: ref = {520.45: 1} @@ -789,7 +830,7 @@ def derive_model_zero( fit_peaks_kw={}, should_fit=False, name="X Shift", - profile="Gaussian", + profile="Pearson4", ): warnings.warn( message="Do not use directly. Use derive_model_x instead.", @@ -840,6 +881,9 @@ def calibration_model_factory( fit_peaks_kw=None, should_fit=False, prominence_coeff=3, + match_method = "cluster", + si_profile = "Pearson4" + ): if neon_wl is None: neon_wl = rc2const.NEON_WL[laser_wl] @@ -859,6 +903,7 @@ def calibration_model_factory( fit_peaks_kw=fit_peaks_kw, should_fit=should_fit, name="Neon calibration", + match_method = match_method ) spe_sil_ne_calib = model_neon.process( spe_sil, spe_units="cm-1", convert_back=False @@ -875,6 +920,7 @@ def calibration_model_factory( fit_peaks_kw=fit_peaks_kw, should_fit=True, name="Si calibration", + profile=si_profile ) return calmodel From f8fb6db3e355f66b3ce82a6d9e02953668816d1a Mon Sep 17 00:00:00 2001 From: vedina Date: Wed, 30 Oct 2024 20:49:48 +0200 Subject: [PATCH 02/38] laser zeroing assert and demo notebook --- examples/publication/demo.ipynb | 1128 ++++++++++++++++++++++ tests/protocols/test_calibrationmodel.py | 82 +- 2 files changed, 1193 insertions(+), 17 deletions(-) create mode 100644 examples/publication/demo.ipynb diff --git a/examples/publication/demo.ipynb b/examples/publication/demo.ipynb new file mode 100644 index 00000000..db2f5fd2 --- /dev/null +++ b/examples/publication/demo.ipynb @@ -0,0 +1,1128 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import os.path\n", + "import matplotlib.pyplot as plt\n", + "\n", + "import ramanchada2 as rc2\n", + "import ramanchada2.misc.constants as rc2const\n", + "from ramanchada2.protocols.calibration import CalibrationModel\n", + "import pandas as pd\n", + "import numpy as np\n", + "import traceback\n", + "import warnings \n", + "warnings.filterwarnings(\"ignore\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "#\n", + "def find_peaks(spe_test,profile=\"Gaussian\"):\n", + " find_kw={\"wlen\": 200, \"width\": 1, \"sharpening\" : None}\n", + " find_kw[\"prominence\"] = spe_test.y_noise_MAD() * 3\n", + " cand = spe_test.find_peak_multipeak(**find_kw)\n", + " fit_kw = {}\n", + " return spe_test.fit_peak_multimodel(profile=profile,candidates=cand, **fit_kw ,no_fit=False) " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 1. Load Ne and Si spectra\n", + "and do basic preprocessing and plotting" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# \n", + "laser_wl = 785" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "We will load test spectra by ICV BWtek laser wavelength 785 optical path 100.\n" + ] + } + ], + "source": [ + "# We use test spectra for this demo. You can load the spectra from local files instead.\n", + "provider = \"ICV\"\n", + "optical_path = \"100\"\n", + "device = \"BWtek\"\n", + "\n", + "\n", + "print(f\"We will load test spectra by {provider} {device} laser wavelength {laser_wl} optical path {optical_path}.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "spe_neon = rc2.spectrum.from_test_spe(\n", + " sample=[\"Neon\"], provider=[provider], device=[device], OP=[optical_path], laser_wl=[str(laser_wl)]\n", + " )\n", + "spe_neon = spe_neon.subtract_baseline_rc1_snip(niter= 40)\n", + "\n", + "spe_sil = rc2.spectrum.from_test_spe(\n", + " sample=[\"S0B\"], provider=[provider], device=[device], OP=[optical_path], laser_wl=[str(laser_wl)]\n", + " )\n", + "\n", + "spe_sil = spe_sil.trim_axes(\n", + " method=\"x-axis\", boundaries=(max(100, 520.45 - 200), 520.45 + 200)\n", + " ).subtract_baseline_rc1_snip(niter= 40)\n", + "\n", + "# Plot spectra\n", + "fig, (ax1,ax2) = plt.subplots(1,2,figsize=(12,3))\n", + "spe_neon.plot(label='Ne',ax=ax1)\n", + "spe_sil.plot(label=\"Si\",ax=ax2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 2. Create calibration model (both Si and Ne)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Neon calibration spe (cm-1) reference (nm) model (nm) \n", + " Laser zeroing using 818.272 nm spe (nm) reference (cm-1) model (nm) 818.2721718187864\n" + ] + } + ], + "source": [ + "try:\n", + " fit_neon_peaks = True\n", + " # False should be used for testing only . Fitting may take a while .\n", + " neon_wl = rc2const.NEON_WL[laser_wl]\n", + " calmodel = CalibrationModel.calibration_model_factory(\n", + " laser_wl,\n", + " spe_neon,\n", + " spe_sil,\n", + " neon_wl=neon_wl,\n", + " find_kw={\"wlen\": 200, \"width\": 1},\n", + " fit_peaks_kw={},\n", + " should_fit=fit_neon_peaks\n", + " )\n", + " assert len(calmodel.components) == 2\n", + " print(type(calmodel.components[0]),calmodel.components[0])\n", + " print(type(calmodel.components[1]),calmodel.components[1])\n", + " #print(calmodel.components[1].profile, calmodel.components[1].peaks)\n", + "except Exception as _err:\n", + " calmodel = None\n", + " traceback.print_exc()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plot calibration curve\n", + "\n", + "model_neon = calmodel.components[0]\n", + "fig,ax=plt.subplots(1,1,figsize=(8,8))\n", + "\n", + "x = model_neon.model.y\n", + "predicted_x = model_neon.model(x.reshape(-1, 1))\n", + "plt.plot(x,predicted_x,color=\"red\",label=\"Calibration curve\")\n", + "plt.scatter(x,model_neon.model.d,marker=\"+\",color=\"blue\",label=\"Matched peaks\")\n", + "plt.xlabel(\"Ne peaks, nm\")\n", + "plt.ylabel(\"Reference peaks, nm\")\n", + "plt.grid()\n", + "plt.legend()\n", + "plt.show()\n", + "#model_neon.matched_peaks " + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "# calmodel.components[0].matched_peaks" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 3. Apply calibration" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "# This is the only row we need for calibrating a new spectrum\n", + "spe_sil_calibrated = calmodel.apply_calibration_x(spe_sil)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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amplitudeamplitude_stderrcentercenter_stderrsigmasigma_stderrexponexpon_stderrskewskew_stderrfwhmfwhm_stderrheightheight_stderrpositionposition_stderr
g00_p3414019.292387None521.115362None3.966707None1.435549None0.326557None6.601048None49696.11424None520.664191None
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" + ], + "text/plain": [ + " amplitude amplitude_stderr center center_stderr sigma \\\n", + "g00_p3 414019.292387 None 521.115362 None 3.966707 \n", + "\n", + " sigma_stderr expon expon_stderr skew skew_stderr fwhm \\\n", + "g00_p3 None 1.435549 None 0.326557 None 6.601048 \n", + "\n", + " fwhm_stderr height height_stderr position position_stderr \n", + "g00_p3 None 49696.11424 None 520.664191 None " + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Let's verfy the peak in the calibrated Si is at the right position \n", + " \n", + "\n", + "fitres = find_peaks(spe_sil_calibrated,profile=\"Pearson4\")\n", + "df = fitres.to_dataframe_peaks().sort_values(by=\"height\",ascending=False)\n", + "df.head(1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "si_peak_found = df.iloc[0][\"center\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plots\n", + "fig, ax = plt.subplots(1,1,figsize=(12,3))\n", + "spe_sil.plot(ax=ax,label=\"Si original\")\n", + "spe_sil_calibrated.plot(ax=ax,label=\"Si calibrated\")\n", + "ax.set_xlabel('Raman shift [cm$^{-1}$]')\n", + "ax.axvline(x=520.45, color='red', linestyle='--', linewidth=2, label=\"Reference 520.45 cm-1\")\n", + "ax.set_xlim(520.45-20,520.45+20)\n", + "ax.axvline(x=si_peak_found, color='black', linestyle='--', linewidth=2, label=\"Si peak at {:.3f} cm-1\".format(si_peak_found))\n", + "ax.legend()\n", + "plt.grid()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# apply calibration to another spectrum (e.g. PST)\n", + "spe_pst = rc2.spectrum.from_test_spe(\n", + " sample=[\"PST\"], provider=[provider], device=[device], OP=[optical_path], laser_wl=[str(laser_wl)]\n", + " )\n", + "spe_pst = spe_pst.trim_axes(method=\"x-axis\", boundaries=(100, max(spe_pst.x))).subtract_baseline_rc1_snip(niter= 40)\n", + "spe_pst_calibrated = calmodel.apply_calibration_x(spe_pst)\n", + "\n", + "# plots\n", + "fig, ax = plt.subplots(1,1,figsize=(12,3))\n", + "spe_pst.plot(ax=ax,label=\"PST original\")\n", + "spe_pst_calibrated.plot(ax=ax,label=\"PST calibrated\")\n", + "ax.set_xlabel('Raman shift [cm$^{-1}$]')\n", + "ax.legend()\n", + "plt.grid()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# ************ That's it ! ************" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 4. For advanced users \n", + "\n", + "One can create the components of the calibration model one by one to hae a full control of the options. \n", + "However, the final result will be the same. The recommended way is to use the calibration_model_factory as above." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4.1. Create calibration curve using Neon" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "# 4.1 Create calibration curve using Neon\n", + "\n", + "fit_neon_peaks = True\n", + "# False should be used for testing only . Fitting may take a while .\n", + "\n", + "neon_wl = rc2const.NEON_WL[laser_wl]\n", + "# these are reference Ne peaks\n", + "\n", + "try:\n", + " find_kw = {\"wlen\": 100, \"width\": 1}\n", + " # options for finding peaks \n", + " fit_peaks_kw = {}\n", + " # options for fitting peaks\n", + "\n", + " calmodel = CalibrationModel(laser_wl)\n", + " # create CalibrationModel class. it does not derive a curve at this moment!\n", + " calmodel.prominence_coeff = 3\n", + " find_kw[\"prominence\"] = spe_neon.y_noise_MAD() * calmodel.prominence_coeff\n", + "\n", + " model_neon = calmodel.derive_model_curve(\n", + " spe=spe_neon,\n", + " ref=neon_wl,\n", + " spe_units=\"cm-1\",\n", + " ref_units=\"nm\",\n", + " find_kw=find_kw,\n", + " fit_peaks_kw=fit_peaks_kw,\n", + " should_fit=fit_neon_peaks,\n", + " name=\"Neon calibration\"\n", + " )\n", + " # now derive_model_curve finds peaks, fits peaks, matches peaks and derives the calibration curve\n", + " # and model_neon.process() could be applied to Si or other spectra\n", + "\n", + "except Exception as err:\n", + " traceback.print_exc()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4.1.1 Explore the calibration curve (optional)\n", + "\n", + "The Ne spectrum is converted to wavelength, nm , peaks are matched to the reference peaks and calibration curve is derived" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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centerfwhmheightamplitude
0770.3945320.0791263968.5096693.058729e+01
11013.0719610.4836024376.8354647.932729e+18
2774.5066260.855382156.2837706.441742e+03
3775.5284140.0995644337.1269481.992886e+01
4780.8641390.82926478.1521157.272615e+01
...............
931032.0333430.662469156.2532386.953548e+02
941035.7602921.457904103.4507692.380852e+02
971046.5691200.057941143.5253456.751846e+00
981049.3937931.178730166.8593189.584850e+02
991053.3335180.232926187.3860724.646089e+01
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90 rows × 4 columns

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" + ], + "text/plain": [ + " center fwhm height amplitude\n", + "0 770.394532 0.079126 3968.509669 3.058729e+01\n", + "1 1013.071961 0.483602 4376.835464 7.932729e+18\n", + "2 774.506626 0.855382 156.283770 6.441742e+03\n", + "3 775.528414 0.099564 4337.126948 1.992886e+01\n", + "4 780.864139 0.829264 78.152115 7.272615e+01\n", + ".. ... ... ... ...\n", + "93 1032.033343 0.662469 156.253238 6.953548e+02\n", + "94 1035.760292 1.457904 103.450769 2.380852e+02\n", + "97 1046.569120 0.057941 143.525345 6.751846e+00\n", + "98 1049.393793 1.178730 166.859318 9.584850e+02\n", + "99 1053.333518 0.232926 187.386072 4.646089e+01\n", + "\n", + "[90 rows x 4 columns]" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Quick plott of Ne peaks (blue) and references (red)\n", + "calmodel.plot()\n", + "model_neon.peaks" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# we can calibrate Ne according to the calibration curve derived using Neon peaks\n", + "spe_ne_cm1 = model_neon.process(spe_neon,convert_back=True)\n", + "\n", + "# we can calibrate Si according to the calibration curve derived using Neon peaks\n", + "#spe_sil_x1_cm1 = model_neon.process(spe_sil,convert_back=True)\n", + "\n", + "fig, axes = plt.subplots(2,2,figsize=(15,6))\n", + "\n", + "ax1, ax2 = axes[0]\n", + "ax3, ax4 = axes[1]\n", + "\n", + "spe_sil.plot(ax=ax1,label=\"Si original\")\n", + "#spe_sil_x1_cm1.plot(ax=ax1,label=\"Si (Ne calibrated)\")\n", + "ax1.set_xlim(520.45-20,520.45+20)\n", + "ax1.set_xlabel('Raman shift [cm$^{-1}$]')\n", + "ax1.grid()\n", + "\n", + "spe_sil_x1_nm = model_neon.process(spe_sil,convert_back=False)\n", + "spe_sil_x1_nm.plot(ax=ax2,label=\"Si (Ne calibrated)\")\n", + "ax2.set_xlabel('waelength [nm]')\n", + "ax2.grid()\n", + "\n", + "\n", + "spe_neon.plot(ax=ax3,label=\"Ne original\")\n", + "spe_ne_cm1.plot(ax=ax3,label=\"Ne calibrated\")\n", + "ax3.set_xlabel('Raman shift [cm$^{-1}$]')\n", + "ax3.grid()\n", + "\n", + "ax4.plot(spe_neon.x,spe_ne_cm1.x,marker=\"+\")\n", + "#ax4.set_xlim(520.45-20,520.45+20)\n", + "#ax4.set_ylim(520.45-20,520.45+20)\n", + "ax4.set_xlabel('Raman shift [cm$^{-1}$]')\n", + "ax4.set_ylabel('Raman shift [cm$^{-1}$]')\n", + "ax4.grid()\n", + "fig.suptitle=\"Ne calibration only\"\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4.2. Laser zeroing\n", + "\n", + "- The Si spectrum is processed through Ne calibration curve, which results in spectrum in wavelength (nm)\n", + "- Then the Si peak is found and fit (in nm)\n", + "- Finally the peak position is used in the laser zeroing formula , which converts the x-axis into wavenumber (cm-1)\n", + "\n", + "```\n", + "def zero_nm_to_shift_cm_1(self, wl, zero_pos_nm, zero_ref_cm_1=520.45):\n", + " return 1e7 * (1 / zero_pos_nm - 1 / wl) + zero_ref_cm_1\n", + "``` " + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "# The second step of the X calibration - Laser zeroing\n", + "# \n", + "try: \n", + " spe_sil_ne_calib = model_neon.process(\n", + " spe_sil, spe_units=\"cm-1\", convert_back=False\n", + " ) \n", + " calmodel.prominence_coeff = 3\n", + " find_kw[\"prominence\"] = (\n", + " spe_sil_ne_calib.y_noise_MAD() * calmodel.prominence_coeff\n", + " ) \n", + " calmodel.derive_model_zero(\n", + " spe=spe_sil_ne_calib,\n", + " ref={520.45: 1},\n", + " spe_units=model_neon.model_units,\n", + " ref_units=\"cm-1\",\n", + " find_kw=find_kw,\n", + " fit_peaks_kw=fit_peaks_kw,\n", + " should_fit=True,\n", + " name=\"Si calibration\",\n", + " profile=\"Pearson4\"\n", + " )\n", + "except Exception as err:\n", + " traceback.print_exc()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4.2.1 Explore laser zeroing component (optional)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Neon calibration spe (cm-1) reference (nm) model (nm) \n", + "\n", + "Laser zeroing using 818.530 nm spe (nm) reference (cm-1) model (nm) 818.529806631564\n" + ] + } + ], + "source": [ + "# Now calmodel has two components , derived with Ne and Si respectively\n", + "\n", + "# we can access them individually (optional)\n", + "model_neon= calmodel.components[0]\n", + "print(type(model_neon))\n", + "print(model_neon)\n", + "model_si= calmodel.components[1]\n", + "print(type(model_si))\n", + "print(model_si)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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centerfwhmheightamplitude
0818.5298070.43237849694.95944427107.838601
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" + ], + "text/plain": [ + " center fwhm height amplitude\n", + "0 818.529807 0.432378 49694.959444 27107.838601" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# These are the Si peaks (in nm) . The top peak is ALWAYS converted to the reference value (520.45 cm-1) due to laser zeroing formula\n", + "model_si.peaks.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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U109z8nW4wRYMn0nKZ7A2MN4L1LSGmoiIDANjxozhT3/601APQw5hvqEegIiIiIgcPIoVaqlUFa4T9r42fLxtjPM6qEJNRERERIGaiIiIiGxVrFCz8tUYThCAtM/gDXeM10EVaiIiIiIK1ERERERkq02pwpRPs4YoXqDWZkRZZ1Z7HfLalEBEREREgZqIiIiIlBSnfLr5Gip93kfF9UaCNtML11ShJiIiIqJATUREREQKevI99BYq0ByzmmrDO77JqKAtVwjUHBOs3BCNUEREROTgoEBNRERERABo6WsBIGRUghumBhuALb44fW5ka8ecpn2KiAwL+RQsSHiPfGqoRyNySFGgJiIiIiLA1umefqcOgBrXBKDdiGLjxw1EvY4K1ERERKTMKVATEREREWDrDp92vhqAajsDQG8gDIATjHsd81pHTUREDgzDMHjsscd226ejo4OGhgbWrFnzroxpX51++unMmzev9Hz8+PHcfffdpecDueeDwfb38d73vpdf/vKXQzegIaZATURERESArRVq6VQVAAnTC85SgRAAVjFQ08YEIiKyF1pbW7n88ssZO3Ys4XCYpqYmZs2axfPPP1/q09LSwtlnn73b89xyyy2cd955jB8/HoA1a9ZgGAYNDQ309vavon7Pe97DggUL9vet7JOXX36Zyy677F251vYh2P5044038uUvfxnHcQ7I+Q92CtREREREBNhaoWbla4j78lQWgrNswO8d96tCTURE9t6FF17IX//6VxYtWsSbb77Jr371K04//XQ6OztLfZqamgiHw7s8RyaT4f777+dzn/vcDm29vb1861vfOiBj359GjBhBLBbbp3OYprmfRrP3zjnnHJLJJL/73e+GeihDQoGaiIiIiACwKeUFao5Zw3EVPcRcFwDX7/0/Hyh8+NcaaiIiBxfX9TYV2N2jr20nj/at5+hr33mfPZ238G/FnnR3d/Pss89y22238cEPfpBx48Zx0kkncf3113POOeeU+u1p+uNvf/tbAoEAM2bM2KHtyiuv5M4776S1tXWXr8/n81x77bWMGjWKeDzO9OnT+cMf/rDHsV922WU0NjYSiUSYMmUKjz/+OOBNP/3kJz/J6NGjicViTJ06lZ/85Ce7Pd/2Uz5ha2VeNBplwoQJ/PznPy+1FSvwfvazn3H66acTiUR46KGH9njtSy65hKeffppvf/vbGIaBYRilabKvv/46H/nIR6ioqKCxsZE5c+bQ3r7190MqleLTn/40FRUVjBw5kjvuuGOH+/D7/XzkIx/Z4/0OV4GhHoCIiIiIHByKUz7dfA3H1ieJ57wpHIY/B0DOVwjUVKEmInJwMdOwsHnfzvGdY/fudV/ZBKH4HrtVVFRQUVHBY489xsknn7zbKrTd+eMf/8iJJ56407ZPfvKTLFu2jK9//evce++9O+3zmc98hjVr1rB48WKam5t59NFHOeuss3j11VeZOHHiDv0dx+Hss8+mt7eXhx56iMMPP5zXX38dv9+r3s5ms0ybNo3rrruOqqoqnnjiCebMmcNhhx3G9OnTB3xfN954I7feeivf/va3+fGPf8wnP/lJpkyZwtFHH13qc91113HHHXfwwAMPEA6H93jtb3/727z55ptMmTKFr3/964BXHdfS0sJpp53G3LlzufPOO8lkMlx33XVcdNFFPPXUUwBcc801/N///R+PPvooTU1NfOUrX2H58uW85z3v6Tfuk046idtvv33A9zmcKFATEREREXrzvfTmvcozx6xmYng98Uyh6sC3XaCmNdRERGSQAoEADz74IHPnzuX73/8+J5xwAqeddhqf+MQnOPbYgYd5a9asobl55+GhYRjceuutnHfeefzrv/4rhx9+eL/2d955h5/85Cds2LChdI758+ezZMkSHnjgARYuXLjDOZ988kleeuklVq1axZFHHgnAYYcdVmofNWoU8+fPLz2/8sorWbJkCT//+c8HFah9/OMfL01j/cY3vsGyZcu45557+O53v1vqM2/ePC644IJ+r9vdtROJBKFQiFgsRlNTU6nf9773PU444YR+9/tf//VfjBkzhjfffJPm5mbuv/9+/vu//5uZM2cCsGjRIkaPHr3DuEeNGsW6detwHAefr7wmQSpQExEREZHS+mkhKsENM87Xjut6FWqukQUgQ9TrrAo1EZGDSzDmVYrtTj6982PFyrSr/gahnazrtbNj2197gC688ELOOeccnnnmGZ5//nmWLFnC7bffzo9+9CMuueSSAZ0jk8kQiUR22T5r1ize9773ceONN/LII4/0a/vzn/+M67qlYKwol8tRV1e30/OtWLGC0aNH7/CaItu2ufXWW/npT3/Kxo0byeVy5HI54vE9V+1ta/sprDNmzGDFihX9jm1fmbe3116+fDn/93//R0VFxQ5t77zzDplMhnw+329MtbW1TJo0aYf+0WgUx3HI5XJEo9E93eawokBNREREREqBmt/xvqFodFvpKeza5eBVqKWMwgdlraEmInJwMYw9T7vcWXs+tfXrivoBTd3cV5FIhJkzZzJz5ky++tWv8rnPfY6bbrppwIFafX09XV1du+1z6623MmPGDK655pp+xx3Hwe/3s3z58tKUzaKdhUvAHkOiO+64g7vuuou7776bqVOnEo/HmTdvHvl8fgB3s3uGYfR7vn1QtrfXdhyH8847j9tuu22HtpEjR/LWW28NeIydnZ3EYrGyC9NAmxKIiIiICFs3JLDz1QDU5FuIO96UT5sMACm3UBGgCjUREdlPJk+eTCqV2nPHguOPP57XX399t31OOukkLrjgAr785S/v8FrbtmltbeWII47o99h2SuS2jj32WDZs2MCbb7650/ZnnnmGj370o/zLv/wLxx13HIcddtigAqmiF154YYfnRx111G5fM5Brh0IhbNvud+yEE07gtddeY/z48Tu8D/F4nCOOOIJgMNhvTF1dXTt9D1auXMkJJ5ww2NsdFhSoiYiIiEhpQ4J0ugqAaGoj8cKUT8vNAS69xUBNa6iJiMggdXR08KEPfYiHHnqIv/3tb6xevZqf//zn3H777Xz0ox8d8HlmzZrFa6+9tscqtZtvvpmnnnqKN954o3TsyCOP5FOf+hSf/vSn+eUvf8nq1at5+eWXue222/jNb36z0/OcdtppfOADH+DCCy9k2bJlrF69mt/+9rcsWbIEgCOOOIJly5bx3HPPsWrVKi6//HI2b9484Psp+vnPf85//dd/8eabb3LTTTfx0ksv8cUvfnG3rxnItcePH8+LL77ImjVraG9vx3EcvvCFL9DZ2cknP/lJXnrpJf7xj3+wdOlSLr30UmzbpqKigs9+9rNcc801/P73v2flypVccsklO10j7ZlnnuHMM88c9P0OBwrURERERKQ05dPK11Dhy+PPtJcq1FwcMEx6nMKObKpQExGRQaqoqGD69OncddddfOADH2DKlCnceOONzJ07d5c7cu7M1KlTOfHEE/nZz362235HHnkkl156Kdlstt/xBx54gE9/+tNcffXVTJo0ifPPP58XX3yRMWPG7PJcv/jFL3jve9/LJz/5SSZPnsy1115bqvq68cYbOeGEE5g1axann346TU1NfOxjHxvw/RR97WtfY/HixRx77LEsWrSIhx9+mMmTJ+/2NQO59vz58/H7/UyePJkRI0awbt06mpub+dOf/oRt28yaNYspU6bwpS99iUQiUQrNvvnNb/KBD3yA888/nzPOOIP3ve99TJs2rd+5N27cyHPPPcdnPvOZQd/vcGC4rusO9SCGSk9PD4lEgmQySVVV1VAPR0RERGTIXPTri1jVuYr0+kuYEajnoexVuOEExzVX4+LS9+YNfHnkGi5vvwXGvx8ueXyohywiUray2SyrV69mwoQJu12gf4/yKVhY2DHzK5velTXU9off/OY3zJ8/n5UrV5bdzpIHk2uuuYZkMskPf/jDoR7KoO3uz9BAsyJtSiAiIiIipSmfbr6GKVU9kAWjeiyxoEXKTIEvR7elCjURkWElFIcFyaEexaB95CMf4a233mLjxo27rSyTA6uhoYH58+cP9TCGjAI1ERERkTLXm++lJ98DgGNWc2R4vddQPZa4fwspM4Xhz9FphbzjWkNNRESG2Je+9KWhHkLZ234X1XKj2kgRERGRMldcPy1EJbhhxvravYbqscSCMQAM3zaBmirUREREpMwpUBMREREpc8VAze/UAtDotnoN1WOJBwvr6fhydJiqUBMREREBBWoiIiIiZW9TausOnwA1+RavYZtAzfDlaMsHveP5Pijffa1EREREFKiJiIiIlLvihgSZdCUA0bT3nOox/aZ8dpiFTQlwvZ3hRERERMrUPgVqt9xyC4ZhMG/evNIx13VZsGABzc3NRKNRTj/9dF577bV+r8vlclx55ZXU19cTj8c5//zz2bBhQ78+XV1dzJkzh0QiQSKRYM6cOXR3d/frs27dOs477zzi8Tj19fVcddVV5PP5fbklERERkbJTnPJp5Wuo8OXxp7euobbtlM80YVwM77nWURMREZEytteB2ssvv8wPf/hDjj322H7Hb7/9du68807uvfdeXn75ZZqampg5cya9vb2lPvPmzePRRx9l8eLFPPvss/T19XHuuedi23apz+zZs1mxYgVLlixhyZIlrFixgjlz5pTabdvmnHPOIZVK8eyzz7J48WJ+8YtfcPXVV+/tLYmIiIiUpWKg5pg1HF9V+MwWroJINfGAF6gFAnnAwA0VAjatoyYicshLm2mmLprK1EVTSZvpoR6OyCFlrwK1vr4+PvWpT3HfffdRU1NTOu66LnfffTc33HADF1xwAVOmTGHRokWk02keeeQRAJLJJPfffz933HEHZ5xxBscffzwPPfQQr776Kk8++SQAq1atYsmSJfzoRz9ixowZzJgxg/vuu4/HH3+cN954A4ClS5fy+uuv89BDD3H88cdzxhlncMcdd3DffffR09Ozr++LiIiISNkoTvl0zRqOiSe9g9VjwTBKFWrBoAmAU6xYy/fucB4RERGRcrFXgdoXvvAFzjnnHM4444x+x1evXs3mzZs588wzS8fC4TCnnXYazz33HADLly/HNM1+fZqbm5kyZUqpz/PPP08ikWD69OmlPieffDKJRKJfnylTptDc3FzqM2vWLHK5HMuXL9/puHO5HD09Pf0eIiIiIuWsL99HT977TOSYNRwZ7vIaqscClNZQ8yrUwAqoQk1ERA4cwzB47LHHdtuno6ODhoYG1qxZ866Mabja9r1es2YNhmGwYsUKAP7whz9gGMYOS28djLa9j9bWVkaMGMHGjRsP+HUHHagtXryYP//5z9xyyy07tG3evBmAxsbGfscbGxtLbZs3byYUCvWrbNtZn4aGhh3O39DQ0K/P9tepqakhFAqV+mzvlltuKa3JlkgkGDNmzEBuWURERGTYKu7wGaQCnDBjfVvXTwNKFWrFQM30FyvUFKiJiMjgtLa2cvnllzN27FjC4TBNTU3MmjWL559/vtSnpaWFs88+e7fnueWWWzjvvPMYP348sDUMamho6LfcFMB73vMeFixYsL9vZVBOP/30fmvPb+uSSy7BMIxdPhYtWvSujHHMmDG0tLQwZcqUd+V6AwlO90ZDQwNz5szhpptu2u/n3t6gArX169fzpS99iYceeohIJLLLfoZh9Hvuuu4Ox7a3fZ+d9d+bPtu6/vrrSSaTpcf69et3OyYRERGR4a64flrAqQOgyW31GrYL1Hx+L1DL+72KNVWoiYjIYF144YX89a9/ZdGiRbz55pv86le/4vTTT6ezs7PUp6mpiXA4vMtzZDIZ7r//fj73uc/t0Nbb28u3vvWtAzL2bRmGsd+q47797W/T0tKyw+OMM85g3LhxnHPOOfvlOnvi9/tpamoiEAjs9Tls28ZxnP04qr3zmc98hocffpiurq4Dep1BBWrLly+ntbWVadOmEQgECAQCPP3003znO98hEAiUKsa2rxBrbW0ttTU1NZHP53e4se37bNmyZYfrt7W19euz/XW6urowTXOHyrWicDhMVVVVv4eIiIhIOSuun2blqwGozrV4DdtN+TR8OQByvkKgpjXUREQOGq7rkjbTu310ZDp2eHRmtwZZndnOnfbZ03ld1x3QGLu7u3n22We57bbb+OAHP8i4ceM46aSTuP766/uFRnuqXPrtb39LIBBgxowZO7RdeeWV3HnnnbS2tu7y9fl8nmuvvZZRo0YRj8eZPn06f/jDHwZ0DwdCIpGgqamp3+P+++/nueee43//93+pr6/f5Wtfe+01zjnnHKqqqqisrOT9738/77zzDuBtJDlz5kzq6+tJJBKcdtpp/PnPf97lubaf8ln0pz/9ieOOO45IJML06dN59dVXS20PPvgg1dXVPP7440yePJlwOMzatWv3eO1iZeE//dM/YRhG6TnAr3/9a6ZNm0YkEuGwww7ja1/7GpZlldrfeustPvCBDxCJRJg8eTLLli3b4V6mTp1KU1MTjz766C7vd38YVPT44Q9/uN+bB17yd9RRR3Hddddx2GGH0dTUxLJlyzj++OMB7zfr008/zW233QbAtGnTCAaDLFu2jIsuugjwSjpXrlzJ7bffDsCMGTNIJpO89NJLnHTSSQC8+OKLJJNJTjnllFKfm2++mZaWFkaOHAl4GxWEw2GmTZu2t++HiIiISFnpyHQAkMtVABDJe8+paAIo7fLpGl6glvFFvXZVqImIHDQyVobpj0zfc8fdOPuXu59muSsvzn6x9MOX3amoqKCiooLHHnuMk08+ebdVaLvzxz/+kRNPPHGnbZ/85CdZtmwZX//617n33nt32uczn/kMa9asYfHixTQ3N/Poo49y1lln8eqrrzJx4sS9GtP+9Pjjj/PVr36VxYsXc9xxx+2y38aNG/nABz7A6aefzlNPPUVVVRV/+tOfSuFTb28vF198Md/5zncAuOOOO/jIRz7CW2+9RWVl5YDHc8011/Dtb3+bpqYmvvKVr3D++efz5ptvEgwGAUin09xyyy386Ec/oq6ujoaGBlavXr3ba7/88ss0NDTwwAMPcNZZZ+H3+wH43e9+x7/8y7/wne98pxQOXnbZZQDcdNNNOI7DBRdcQH19PS+88AI9PT27nEp70kkn8cwzz3DppZcO+F4Ha1CBWmVl5Q7zaePxOHV1daXj8+bNY+HChUycOJGJEyeycOFCYrEYs2fPBrz09bOf/SxXX301dXV11NbWMn/+fKZOnVra5ODoo4/mrLPOYu7cufzgBz8A4LLLLuPcc89l0qRJAJx55plMnjyZOXPm8M1vfpPOzk7mz5/P3LlzVXkmIiIiMkC9hUozM+99Y+PLFTZtilYDW6d8ukYWgAyFQE1rqImIyCAEAgEefPBB5s6dy/e//31OOOEETjvtND7xiU9w7LHHDvg8a9as6bc54bYMw+DWW2/lvPPO41//9V85/PDD+7W/8847/OQnP2HDhg2lc8yfP58lS5bwwAMPsHDhwr2/wf3g73//O5/61Ke4/vrr+fjHP77bvv/5n/9JIpFg8eLFpXDryCOPLLV/6EMf6tf/Bz/4ATU1NTz99NOce+65Ax7TTTfdxMyZMwFYtGgRo0eP5tFHHy0VSJmmyXe/+91+4d+erj1ixAgAqquraWpqKvW7+eab+fKXv8zFF18MwGGHHcY3vvENrr32Wm666SaefPJJVq1axZo1axg9ejQACxcu3Omae6NGjeIvf/nLgO9zb+z95NhduPbaa8lkMlxxxRV0dXUxffp0li5d2i8BveuuuwgEAlx00UVkMhk+/OEP8+CDD5ZSSYCHH36Yq666qrQb6Pnnn98vYfb7/TzxxBNcccUVnHrqqUSjUWbPnv2uzJcWERERGS56TS9Qc50oBg5GMVCLJICtgZqNF6il0BpqIiIHm2ggyouzX9xtn4yV2emxYmXaby/4LdFAdKfn3tO1B+rCCy/knHPO4ZlnnuH5559nyZIl3H777fzoRz/ikksuGdA5MpnMbtd0nzVrFu973/u48cYbeeSRR/q1/fnPf8Z13X7BE0Aul6Ourm6X5zz77LN55pln+h075phj+q3f3te3b/8uJpNJPvaxj3HaaafxjW98Y4/9V6xYwfvf//5SmLa91tZWvvrVr/LUU0+xZcsWbNsmnU6zbt26QY1r26m1tbW1TJo0iVWrVpWOhUKhHQLRvb328uXLefnll7n55ptLx2zbJpvNkk6nWbVqFWPHji2FaduPb1vRaJR0Oj2oex2sfQ7Utp9rbBgGCxYs2O0uGpFIhHvuuYd77rlnl31qa2t56KGHdnvtsWPH8vjjjw9muCIiIiKyjWKFGnaExrCFQWEtnLBX8V+cxlMM1PoofBOjNdRERA4ahmHscdrlztrT5tbAoTZSO6Cpm/sqEokwc+ZMZs6cyVe/+lU+97nPcdNNNw04UKuvr9/jYvO33norM2bM4Jprrul33HEc/H4/y5cv71fQA96U1F350Y9+RCazNZCcOHEiv/nNbxg1atSAxrwnjuPwqU99Cp/Px0MPPbTHTR3BC4x255JLLqGtrY27776bcePGEQ6HmTFjBvl8fp/Hu+34otHoDuPd22s7jsPXvvY1Lrjggh3aIpHITtfr29V71dnZWaqEO1D2e4WaiIiIiBw6+gpTN10nwshwDvKAPwxBLzgrVqhZbg5w6HEKgZoq1EREZD+YPHnybjch2N7xxx+/x+Kbk046iQsuuIAvf/nLO7zWtm1aW1t5//vfP+Br7iw4GzduXL/F9PfFv//7v/OnP/2Jl156acBLWB177LEsWrQI0zR3WqX2zDPP8N3vfpePfOQjAKxfv5729vZBj+2FF15g7Fhvo6Kuri7efPNNjjrqqN2+ZiDXDgaD2Lbd79gJJ5zAG2+8wRFHHLHT806ePJl169axadOm0pTd559/fqd9V65cyemnn77H+9sXCtREREREylhP3pvi6dpRGmOFQK0w3RO2BmoA+PL0OIVFpLWGmoiIDEJHRwcf//jHufTSSzn22GOprKzklVde4fbbb+ejH/3ogM8za9Ysrr/+erq6uqipqdllv5tvvpljjjmGQGBr7HHkkUfyqU99ik9/+tPccccdHH/88bS3t/PUU08xderUUgB0ILS1te2wg2ZTUxN//OMfufXWW3nggQeorKxk8+bN/foUN3PY3he/+EXuuecePvGJT3D99deTSCR44YUXOOmkk5g0aRJHHHEEP/7xjznxxBPp6enhmmuu2WNV2858/etfp66ujsbGRm644Qbq6+v52Mc+ttvXDOTa48eP5/e//z2nnnoq4XCYmpoavvrVr3LuuecyZswYPv7xj+Pz+fjb3/7Gq6++yn/8x39wxhlnMGnSpNKvX09PDzfccMMO10+n0yxfvvyAr4nnO6BnFxEREZGDWnHKp+tEaAh50zq3DdRCvhABw/tmxPDlSNqqUBMRkcGrqKhg+vTp3HXXXXzgAx9gypQp3HjjjcydO3eXO3LuzNSpUznxxBP52c9+ttt+Rx55JJdeeinZbLbf8QceeIBPf/rTXH311UyaNInzzz+fF198kTFjxuzVfQ3UI488wvHHH9/v8f3vf5/vfe97uK7LJZdcwsiRI3d47Gqd+Lq6Op566in6+vo47bTTmDZtGvfdd1+pWu2//uu/6Orq4vjjj2fOnDlcddVVNDQ0DHrct956K1/60peYNm0aLS0t/OpXvyIUCu32NQO59h133MGyZcsYM2YMxx9/POCFpY8//jjLli3jve99LyeffDJ33nkn48aNA8Dn8/Hoo4+Sy+U46aST+NznPtdvvbWi//3f/2Xs2LGDqkLcG4a7s0moZaKnp4dEIkEymdTOoCIiIlKWpj88nbSVpu/ta/jXkV1c1fpVGDUN5j5V6nPqT06lJ99D6p1/4+KaHm5KfhWapsL/9+wQjlxEpHxls1lWr17NhAkTdrtA/56kzTTTH5kOwIuzX3xX1lDbH37zm98wf/58Vq5cic+nOiHp76STTmLevHnMnj17l31292dooFmRpnyKiIiIlCnLsUhbhQWpnQh1/sKCy9tUqIE37bMn3wO+HF1m4afSqlATETnkxYIxXr341aEexqB95CMf4a233mLjxo0HvLJMDi2tra38v//3//jkJz95wK+lQE1ERESkTKXMVOlr145Qs5tADbwpnx1mYR0XraEmIiJD6Etf+tJQD0EOQg0NDVx77bXvyrVUGykiIiJSpoobEvgJA34Sxs4DteIUIMOXo10VaiIiIiIK1ERERETKVXFDggBeYFZJoWIt3H+9kHigsNOnL0db3lvsGCsDtvWujFNERETkYKNATURERKRMFQM1n+ttZV/hFgK1XU359OfocbZZuFfTPkVEhlQZ7zEosk/2x58dBWoiIiIiZaqvGIg5XqAW3UWgtu2UzzxBXF+hSk2BmojIkPD7/QDk8/khHonIoSmd9jZlCgaDe30ObUogIiIiUqaKa6g5haqzqF0IyCLV/foVK9RCQZM84AQr8Oe6tI6aiMgQCQQCxGIx2traCAaD+HyqlREZCNd1SafTtLa2Ul1dXQqn94YCNREREZEyVZzyaZteoBayvOe7mvIZCHiVEHYw7gVqqlATERkShmEwcuRIVq9ezdq1a4d6OCKHnOrqapqamvbpHArURERERMpUr+kFaGZh586gWQzUttuUoBCoBQMmAFYgRggg1/uujFNERHYUCoWYOHGipn2KDFIwGNynyrQiBWoiIiIiZaq4hlreDAPgz++8Qi0W8NZQ8xUq1Ex/YddPVaiJiAwpn89HJBLZc0cR2e800VpERESkTBXXUMOOAi5GLuk93+Uun1kAcn4vYNMaaiIiIlKuFKiJiIiIlKniGmquE6E2aGE4ltewq0DNlwMg6ysEaqpQExERkTKlQE1ERESkTJUCNTtKc8QLyzD8EIz16xcrPHeNQqBmRL0GraEmIiIiZUqBmoiIiEiZ6jO9CjPXidAYKixqHUmAYfTrV6xQc/CmfKYoBGqqUBMREZEypUBNREREpExtrVCL0BgqVKhtN90TIB7wAjW7GKi5hQWwtYaaiIiIlCkFaiIiIiJlqrgpgetEGRHMeAd3FqgVKtQs1wvU+igEaqpQExERkTKlQE1ERESkDDmuQ18xELMj1BV28CRStUPf4hpqDhYYFj1OsUJNa6iJiIhIeVKgJiIiIlKGUmYKFxfw1lCr8e+5Qg28nT57nLD3RBVqIiIiUqYUqImIiIiUoWJ1mo8guEGqjLTXsJNALeALEPYXQjRfji678LXWUBMREZEypUBNREREpAwV108L4E3n3BqoVe+0f7FKzfDl6LZUoSYiIiLlTYGaiIiISBkq7vDpIwpAhZvyGsI7rqEGEAt4wZvhy9FphryDqlATERGRMqVATURERKQMFQM1w/ECtbhTCMd2MuUTtllHzZejvRio5bUpgYiIiJQnBWoiIiIiZajP9AI0x/Z27Iw4hQq1PQRqhi9Hez7oHVSFmoiIiJQpBWoiIiIiZai4hppteYFa2Np9hVos6E35xJejo1ih5phg5Q7oOEVEREQORgrURERERMpQccqnZXobDARNL2AbSIVaisjWBlWpiYiISBlSoCYiIiJShoqBWr4QqAXyxUBt55sSFAM1fyCPjR8n4K29pnXUREREpBwpUBMREREpQ8U11NzCGmpGMRjb1ZTPwi6foaAJgFPcpEAVaiIiIlKGFKiJiIiIlKFihZrrRKgMWBhW1mvYw5TPQCAPgB0oBGp5BWoiIiJSfhSoiYiIiJSh4qYErh2lOWIWjhoQqtxp/4pgBbA1UDMDqlATERGR8qVATURERKQMlSrU7AhN4UJ1WrgKfDv/eFjc5dPn9wK1vL+w66fWUBMREZEypEBNREREpAwVAzWcCI2hnPf1LqZ7Qv9dPgFyvkKgpgo1ERERKUMK1ERERETKUF++uClBlBGBgQdqFAK1rK+4y6cCNRERESk/CtREREREyozruv02JagNZLyGAQRqruEFahmjEKipQk1ERETKkAI1ERERkTKTsTJYrgV4FWq1/mKgVrXL1xTXUHPw1ltLucUKNa2hJiIiIuVHgZqIiIhImSlWpxn4wQ1SbQygQq2wq6eF1zdFxGtQhZqIiIiUIQVqIiIiImWmz/RCsABRwKDKSHsNA5jyabk5wKXXKQRqWkNNREREypACNREREZEyU6xQ8+NN46wg5TUMZA01HDBMehxVqImIiEj5GlSg9r3vfY9jjz2WqqoqqqqqmDFjBr/97W9L7a7rsmDBApqbm4lGo5x++um89tpr/c6Ry+W48sorqa+vJx6Pc/7557Nhw4Z+fbq6upgzZw6JRIJEIsGcOXPo7u7u12fdunWcd955xONx6uvrueqqq8jn84O8fREREZHy05Pv8b5wvHXQ4k4hUAvveg21aCCKgQGA4cuRdMJeg9ZQExERkTI0qEBt9OjR3Hrrrbzyyiu88sorfOhDH+KjH/1oKTS7/fbbufPOO7n33nt5+eWXaWpqYubMmfT2bv2gNW/ePB599FEWL17Ms88+S19fH+eeey62bZf6zJ49mxUrVrBkyRKWLFnCihUrmDNnTqndtm3OOeccUqkUzz77LIsXL+YXv/gFV1999b6+HyIiIiLD3rY7fAJEncJntd1UqBmGUdqYAF+OLrsQqKlCTURERMpQYDCdzzvvvH7Pb775Zr73ve/xwgsvMHnyZO6++25uuOEGLrjgAgAWLVpEY2MjjzzyCJdffjnJZJL777+fH//4x5xxxhkAPPTQQ4wZM4Ynn3ySWbNmsWrVKpYsWcILL7zA9OnTAbjvvvuYMWMGb7zxBpMmTWLp0qW8/vrrrF+/nubmZgDuuOMOLrnkEm6++Waqqnb901URERGRctdXWPfMsbxQLGzteconeBsTpMwUhj9HlxXyDmoNNRERESlDe72Gmm3bLF68mFQqxYwZM1i9ejWbN2/mzDPPLPUJh8OcdtppPPfccwAsX74c0zT79WlubmbKlCmlPs8//zyJRKIUpgGcfPLJJBKJfn2mTJlSCtMAZs2aRS6XY/ny5Xt7SyIiIiJlodf0KtJM06tQC1p7rlADShVqhi9Hp6kKNRERESlfg6pQA3j11VeZMWMG2WyWiooKHn30USZPnlwKuxobG/v1b2xsZO3atQBs3ryZUChETU3NDn02b95c6tPQ0LDDdRsaGvr12f46NTU1hEKhUp+dyeVy5HK50vOenp6B3raIiIjIsFFcQ800vSqzQHFNtcjuq/yLGxPgy9Ger/S+VoWaiIiIlKFBV6hNmjSJFStW8MILL/D5z3+eiy++mNdff73UbhhGv/6u6+5wbHvb99lZ/73ps71bbrmltNFBIpFgzJgxux2XiIiIyHBUXEPNsb1NCXy5YqC2hymfhUDN8OVozQe9g/k+cN0DM1ARERGRg9SgA7VQKMQRRxzBiSeeyC233MJxxx3Ht7/9bZqamgB2qBBrbW0tVZM1NTWRz+fp6urabZ8tW7bscN22trZ+fba/TldXF6Zp7lC5tq3rr7+eZDJZeqxfv36Qdy8iIiJy6CttSmBHiPkdDLO4hlr1bl+37ZTPZGFDA1wHzPSBGqqIiIjIQWmv11Arcl2XXC7HhAkTaGpqYtmyZaW2fD7P008/zSmnnALAtGnTCAaD/fq0tLSwcuXKUp8ZM2aQTCZ56aWXSn1efPFFkslkvz4rV66kpaWl1Gfp0qWEw2GmTZu2y7GGw2Gqqqr6PURERETKTXFTAteJMDJibm0ID3zKZ4YwrlH4KKl11ERERKTMDGoNta985SucffbZjBkzht7eXhYvXswf/vAHlixZgmEYzJs3j4ULFzJx4kQmTpzIwoULicVizJ49G4BEIsFnP/tZrr76aurq6qitrWX+/PlMnTq1tOvn0UcfzVlnncXcuXP5wQ9+AMBll13Gueeey6RJkwA488wzmTx5MnPmzOGb3/wmnZ2dzJ8/n7lz5yokExEREdmDrRVqUUaGc5AGQhXg3/1Hw3jAC9RCQRMTAzcYx8j3FtZR2/UsAREREZHhZlCB2pYtW5gzZw4tLS0kEgmOPfZYlixZwsyZMwG49tpryWQyXHHFFXR1dTF9+nSWLl1KZWVl6Rx33XUXgUCAiy66iEwmw4c//GEefPBB/H5/qc/DDz/MVVddVdoN9Pzzz+fee+8ttfv9fp544gmuuOIKTj31VKLRKLNnz+Zb3/rWPr0ZIiIiIuWguCkBdoSGUNYL1PZQnQZbK9SCQa+qzQ7G8eV7Idd7oIYqIiIiclAaVKB2//3377bdMAwWLFjAggULdtknEolwzz33cM899+yyT21tLQ899NBurzV27Fgef/zx3fYRERERkR2VKtScKCOChR3Q97AhAWxdQy0QyANgBeIEQTt9ioiISNnZ5zXUREREROTQ0mcW1lCzI9QFst7BAQRqxQo1fyFQM/2FNdW0hpqIiIiUGQVqIiIiImUkZ+fI2V5VmutEqfVnvIZBBGo+n/f6nN+rWFOFmoiIiJQbBWoiIiIiZaQ43RMMcEJUG2nvaWTPa6gVp3waxUDNF/UatIaaiIiIlBkFaiIiIiJlpBioBYgCPhKlQG0AFWqFXT7dQqCWMVShJiIiIuVJgZqIiIhIGekrhF9+vOqyCgYRqBWmfDp4666liXgNWkNNREREyowCNREREZEyUqxQM1wvUIu7Ka9hLwK1VCGUU4WaiIiIlBsFaiIiIiJlpMfsAcC1vTAs6hTCsPDA11CzCoFan1usUNMaaiIiIlJeFKiJiIiIlJFihZpje2FYxCqEYYOoULPcHODQWwzUVKEmIiIiZUaBmoiIiEgZKQZqlhkGILQXgRoAvjw9tncOraEmIiIi5UaBmoiIiEgZKW5KkC8EagGzEIZFqvf42pAvRMAIAGD4cnQXAzVVqImIiEiZUaAmIiIiUkZ68t4aao7lTdf05ZJeQ2TPa6gZhlFaR83w5egqVahpDTUREREpLwrURERERMpIccqn60QI+tytYdgApnzCNtM+fVk6zZD3tQI1ERERKTMK1ERERETKSClQs6M0hU0MXK9hALt8AlSGKgEw/Fm25Iu7fPbs93GKiIiIHMwUqImIiIiUkb7immlOhJGRvPd1IALByIBeXwrUfBk2ZQsVaplucN39PFIRERGRg5cCNREREZEysrVCLUJjKOcdHGB1GkBVyOtr+DN0ON56ari2NiYQERGRsqJATURERKSMFDclcJ0oDaGsd3CA66fB1kDNH8iSJYTr36ZKTURERKRMKFATERERKSPbVqjV+/ciUCtUs4XDOcDADhVem03uz2GKiIiIHNQUqImIiIiUCcuxyFgZwNuUoHYvArXiGmqhoDdd1Ax6z8l277dxioiIiBzsFKiJiIiIlIm+bdc5c8JU+9Pe13sz5TPohXG5QGH9NU35FBERkTKiQE1ERESkTBSne/qJAH4SFAO1wW9K4PN7lW4ZvyrUREREpPwoUBMREREpEz2mtyGBH293zkpSXsMgKtQS4UJfnxeopXwV3nOtoSYiIiJlRIGaiIiISJkoVqj53CgAcXfwgVpxDTXb8Krb+oy416ApnyIiIlJGFKiJiIiIlIniGmquHQEg5gw+UCtO+bQKYVzSLQRqmvIpIiIiZUSBmoiIiEiZKFaoOYVALWwXNikIDz5Qy7tpwKHL8aaPqkJNREREyokCNREREZEy0ZP31lCzrTAAYcsL2AZVoRYubmDggi9PZzFQ0xpqIiIiUkYUqImIiIiUiWKFmml6FWqBwiYFgwnUwv4wIV8IAMOfpq1wLk35FBERkXKiQE1ERESkTPSZ3hRPq1Ch5s8PvkINtlapGb4MrcVATVM+RUREpIwoUBMREREpE8UKNdeO4DPcrdM0I1W7edWOiuuoGf4MLXlvx1BVqImIiEg5UaAmIiIiUiaKa6jhRGkI2xiu7T0fbIVaKVDLsinnVbtpDTUREREpJwrURERERMrEthVqzZGcd9AXgGBsUOfZdspnh1WoULOyYGb321hFREREDmYK1ERERETKRF/eW0PNdaI0hvLewUgCDGNQ56kMVQJgBDL0EcE1Ch8pNe1TREREyoQCNREREZEysW2FWkOwUKEWHtz6abB1ymcknMPFh1N4ro0JREREpFwoUBMREREpE6VAzYlQH8x4Bwe5fhpsDdRChVDODBXOoXXUREREpEwoUBMREREpA47r0Gd6Uz6xo9T59z1QCwS9NdPyAW8KqKZ8ioiISLlQoCYiIiJSBvrMPlxcwKtQq/btfaBWXEPN5/cCtYy/EKhpyqeIiIiUCQVqIiIiImWguCGBjyC4ARKlQG0v1lArrrtWqHJL+yq856pQExERkTKhQE1ERESkDBTXTwsQA6CSlNcQqR70uYpTPh0jDUBfMVBThZqIiIiUCQVqIiIiImWgJ98DgOF6gVqFWwzU9n4NNdv1ArWewjm1KYGIiIiUCwVqIiIiImWgJ+cFajgRAOK2V7G2L4Fa3k0BLl1u3GvQlE8REREpEwrURERERMpAe6YdADvvTc+Mmx1eQ0XDoM9VXEPNwQLDpNMuVKhpyqeIiIiUCQVqIiIiImWgLdMGQDbrVZNFct5zKpoGfa5YIIbf8ANg+DO0W1GvQRVqIiIiUiYUqImIiIiUgVKFmlUJuPhTrV5DZeOgz2UYRmnap+HP0GZ600i1hpqIiIiUi0EFarfccgvvfe97qayspKGhgY997GO88cYb/fq4rsuCBQtobm4mGo1y+umn89prr/Xrk8vluPLKK6mvrycej3P++eezYcOGfn26urqYM2cOiUSCRCLBnDlz6O7u7tdn3bp1nHfeecTjcerr67nqqqvI5/ODuSURERGRslCsUHOtSsbGLAwr4zXsRYUaQGWoEgDDl6ElXwjUNOVTREREysSgArWnn36aL3zhC7zwwgssW7YMy7I488wzSaVSpT633347d955J/feey8vv/wyTU1NzJw5k97e3lKfefPm8eijj7J48WKeffZZ+vr6OPfcc7Ftu9Rn9uzZrFixgiVLlrBkyRJWrFjBnDlzSu22bXPOOeeQSqV49tlnWbx4Mb/4xS+4+uqr9+X9EBERERmW2tJeoOZYVRwZL3x2C1dBKLZX5ytWqOHP0JIrVqh17+MoRURERA4NgcF0XrJkSb/nDzzwAA0NDSxfvpwPfOADuK7L3XffzQ033MAFF1wAwKJFi2hsbOSRRx7h8ssvJ5lMcv/99/PjH/+YM844A4CHHnqIMWPG8OSTTzJr1ixWrVrFkiVLeOGFF5g+fToA9913HzNmzOCNN95g0qRJLF26lNdff53169fT3NwMwB133MEll1zCzTffTFVV1T6/OSIiIiLDRXHKp2tVclikD3qBisFP9ywqbkxg+DNsMSPgB/J9YJvgD+6HEYuIiIgcvPZpDbVk0lsno7a2FoDVq1ezefNmzjzzzFKfcDjMaaedxnPPPQfA8uXLMU2zX5/m5mamTJlS6vP888+TSCRKYRrAySefTCKR6NdnypQppTANYNasWeRyOZYvX74vtyUiIiIyrNiOTUfW29XTtSoZGyrMHKjcu+mesLVCzfBl6GWbKrdsz16fU0RERORQMagKtW25rsu//du/8b73vY8pU6YAsHnzZgAaG/v/tLOxsZG1a9eW+oRCIWpqanboU3z95s2baWjYcQv3hoaGfn22v05NTQ2hUKjUZ3u5XI5cLld63tOjD3wiIiIy/HVmO3FcBzBwrQpG+bu9hn2pUCsEapFwjl78OMEKfGafN+0zXrfPYxYRERE5mO11hdoXv/hF/va3v/GTn/xkhzbDMPo9d113h2Pb277PzvrvTZ9t3XLLLaVNDhKJBGPGjNntmERERESGg+KGBEGqAB8j6PYa9qFCrbgpQSjk/bDSDCW8Bm1MICIiImVgrwK1K6+8kl/96lf83//9H6NHjy4db2ryPpRtXyHW2tpaqiZramoin8/T1dW12z5btmzZ4bptbW39+mx/na6uLkzT3KFyrej6668nmUyWHuvXrx/MbYuIiIgckorrp/kcL/SqdTu9hn2Z8llYQy0QzAKQD3oBG9muXb1EREREZNgYVKDmui5f/OIX+eUvf8lTTz3FhAkT+rVPmDCBpqYmli1bVjqWz+d5+umnOeWUUwCYNm0awWCwX5+WlhZWrlxZ6jNjxgySySQvvfRSqc+LL75IMpns12flypW0tLSU+ixdupRwOMy0adN2Ov5wOExVVVW/h4iIiMhwV9zh0zYrAKgwvfXUqNj3NdT8Aa9CLecvBmrJvT6niIiIyKFiUGuofeELX+CRRx7hf//3f6msrCxViCUSCaLRKIZhMG/ePBYuXMjEiROZOHEiCxcuJBaLMXv27FLfz372s1x99dXU1dVRW1vL/PnzmTp1amnXz6OPPpqzzjqLuXPn8oMf/ACAyy67jHPPPZdJkyYBcOaZZzJ58mTmzJnDN7/5TTo7O5k/fz5z585VUCYiIiKyjeKUz1zWC9SiWe85lfu+hprhywCQ9nvn1pRPERERKQeDCtS+973vAXD66af3O/7AAw9wySWXAHDttdeSyWS44oor6OrqYvr06SxdupTKyspS/7vuuotAIMBFF11EJpPhwx/+MA8++CB+v7/U5+GHH+aqq64q7QZ6/vnnc++995ba/X4/TzzxBFdccQWnnnoq0WiU2bNn861vfWtQb4CIiIjIcFec8mnlvdArkGn1GvahQq24hprjSwPQZxQCtWz3Xp9TRERE5FAxqEDNdd099jEMgwULFrBgwYJd9olEItxzzz3cc889u+xTW1vLQw89tNtrjR07lscff3yPYxIREREpZ8Upn65VRUPExsj1eg37UqFWWEPNJgVAD6pQExERkfKx17t8ioiIiMihoVih5lqVTKrwKsoIRCG898tkFKd8mq53vqQT8xq0hpqIiIiUAQVqIiIiIsNccQ01x6rkiEifd7CyEQxjr89ZDNQsNwdYdJYCte59GKmIiIjIoUGBmoiIiMgw5rruNhVqVYwNFaZ77sP6aQAVwYrS14Y/Q7sd9Z5oyqeIiIiUAQVqIiIiIsNYMpfEdEwAXKuCUYHClMx9WD8NwO/zUxn0NiYw/BlazUKgpgo1ERERKQMK1ERERESGseJ0zwAVQIAGo9tr2McKNdi6MQG+LFvyYe9rraEmIiIiZUCBmoiIiMgwVgzU/I4XftW6XV7DPlaowdZ11Ax/hpZcIVDTlE8REREpAwrURERERIax4vppjuWFX1Vmh9ewHyrUKkNbp3xuzhenfCbBcfb53CIiIiIHMwVqIiIiIsNYW9qrUMvn4gBE817Atr8r1Hoo7PKJC7mefT63iIiIyMFMgZqIiIjIMFasUMvnvF05Q+lWr2E/rqEWDuXIEcLxR7wGraMmIiIiw5wCNREREZFhrLiGmmtVkgi5GJnClM/K/RCoFSrUQqEcAHZxkwLt9CkiIiLDnAI1ERERkWGsOOXTtaqYVJHxDvoCEK3d53MXA7VgMAtAPlgI1LQxgYiIiAxzCtREREREhrHilE/XquTwaMo7WNEIvn3/GFjclMAf8AK1rF8VaiIiIlIeFKiJiIiIDFOu65amfDpWJRPChc0CKvZ9QwLovykBQMbvrdOmCjUREREZ7hSoiYiIiAxTKTNFxvLCLteqYlSgEKjth/XTYOumBK7hXSNlFAI1bUogIiIiw5wCNREREZFhqlid5icCbohGo9tr2M8VaraRBqDXiHsNmvIpIiIiw5wCNREREZFhqrh+mt9NAFBPp9ewnyrUimuoma63Nlu3WwjUNOVTREREhjkFaiIiIiLD1LY7fAJUWfs3UCtWqJluGnDocqJegyrUREREZJhToCYiIiIyTBWnfJo5b22zWM6rWKNi/66hBoAvS4cV877WGmoiIiIyzClQExERERmmilM+8zlvKmYo0+o1VO6fNdSCviDRgFeVZvgztFmFCjVN+RQREZFhToGaiIiIyDBVrFBzrCoiATAKU0D3V4UabF1HzfBn2JyPeAc15VNERESGOQVqIiIiIsNUe9qrUHOtSo6syGK4DmBAfMR+u0ZxHTUvUAt7B1WhJiIiIsOcAjURERGRYapYoeZalRwZ83biJD4C/IH9do1SoObLsClbrFBLguvut2uIiIiIHGwUqImIiIgMU1sDtSrGh3u9g/tp/bSi4sYEhj9DEm+tNhwTzPR+vY6IiIjIwUSBmoiIiMgwlLWy9Oa9EM2xKhkT7PEa9uP6abC1Qi0YzJEmjOsrVL9p2qeIiIgMYwrURERERIah4g6fPoLgRGj0Jb2G/V2hVgjUIuEcYGAXnmtjAhERERnOFKiJiIiIDEPFQC3gJgCDerfLazhgFWpZAMxgMVBL7tfriIiIiBxMFKiJiIiIDEPF9dOwvYArYXd6zyv3c6BWWEPNH/ACtWygEKhpyqeIiIgMYwrURERERIahtrQXqJn5CgDiea9ijYoDM+XTKARqGX+l16ApnyIiIjKMKVATERERGYaKUz5zWW/nzXC2ULG2nyvUKkOFAM3wdvVMGYWdPlWhJiIiIsOYAjURERGRYag45dO1qgj4wJfa4jUcoAo1x8gA0Gd4FXFaQ01ERESGMwVqIiIiIsNQMVBzrEoOrzAx7LzXcIACNZMUAEkKFWqa8ikiIiLDmAI1ERERkWGouIaaa1VyZKzPOxiphmBkv16nuClB3kkBLl1OzGvQlE8REREZxhSoiYiIiAxDxTXUXKuSCZFCoLaf10+DrWuouTjgy9FhFwI1VaiJiIjIMKZATURERGSYMR2Tzmwn4K2hNibY4zXs5+meABF/hKAvCIDhy9JuFSrgtIaaiIiIDGMK1ERERESGmY5MBwAGflw7xkh/Idw6ABVqhmGU1lEz/Gm2mIVATVM+RUREZBhToCYiIiIyzBSnewbcKsDHCLq9hgNQoQZb11Ez/BlacsUKte4Dci0RERGRg4ECNREREZFhprghgWF765tV217F2oGoUIOt66gZ/gybsmHvoCrUREREZBhToCYiIiIyzLRlvEDNMr2gq8IsBGoHqkKtMOUTX4Zut7ApgZUBK3dAriciIiIy1BSoiYiIiAwzxSmfuWwFAOGsF7BROfKAXK8YqAWDOXqJ4WJ4DdqYQERERIYpBWoiIiIiw0yxQs2xKvEZ4E+1eg0HaMpnMVALh3O4+HAKU0A17VNERESGKwVqIiIiIsNMe9qrUHOtSsbEHQwz5TUcoCmfxTXUQiFviqcZSngN2phAREREhikFaiIiIiLDzLYVakfGC2FaqALCFQfkeomwF6AFAhkAcgFVqImIiMjwNuhA7Y9//CPnnXcezc3NGIbBY4891q/ddV0WLFhAc3Mz0WiU008/nddee61fn1wux5VXXkl9fT3xeJzzzz+fDRs29OvT1dXFnDlzSCQSJBIJ5syZQ3d3d78+69at47zzziMej1NfX89VV11FPp8f7C2JiIiIDCvFQM21qjg80usdPEDVabB1yqfPnwUg6y8EalpDTURERIapQQdqqVSK4447jnvvvXen7bfffjt33nkn9957Ly+//DJNTU3MnDmT3t7eUp958+bx6KOPsnjxYp599ln6+vo499xzsW271Gf27NmsWLGCJUuWsGTJElasWMGcOXNK7bZtc84555BKpXj22WdZvHgxv/jFL7j66qsHe0siIiIiw4bjOnRmOgFvyufYUOEz2AFaPw367/IJkPIVKuE05VNERESGqcBgX3D22Wdz9tln77TNdV3uvvtubrjhBi644AIAFi1aRGNjI4888giXX345yWSS+++/nx//+MecccYZADz00EOMGTOGJ598klmzZrFq1SqWLFnCCy+8wPTp0wG47777mDFjBm+88QaTJk1i6dKlvP7666xfv57m5mYA7rjjDi655BJuvvlmqqqq9uoNERERETmUdWY7sVwLMHCtCpr93V7DgaxQC3ufuxwjDUCvUQjUNOVTREREhqn9uoba6tWr2bx5M2eeeWbpWDgc5rTTTuO5554DYPny5Zim2a9Pc3MzU6ZMKfV5/vnnSSQSpTAN4OSTTyaRSPTrM2XKlFKYBjBr1ixyuRzLly/f6fhyuRw9PT39HiIiIiLDydvdbwMQdOoAP+PtdV5D7WEH7JrFTQksCoGaG/MaVKEmIiIiw9R+DdQ2b94MQGNj/5+ANjY2lto2b95MKBSipqZmt30aGhp2OH9DQ0O/Pttfp6amhlAoVOqzvVtuuaW0JlsikWDMmDF7cZciIiIiB6/X2r21a3OpUQCMTP3daxh1wgG7ZnHKZ971NkDocuNegwI1ERERGaYOyC6fhmH0e+667g7Htrd9n53135s+27r++utJJpOlx/r163c7JhEREZFDzWsdXqCWTzdTF7IIdb3hNTQff8CuWR2uBsB2TfCl2WxGvYbeLQfsmiIiIiJDab8Gak1N3mK321eItba2lqrJmpqayOfzdHV17bbPli07fgBra2vr12f763R1dWGa5g6Va0XhcJiqqqp+DxEREZHh5PWO1wFwsqP5yIh2DNfx1k+rHHnArhkLxhhV4VXE+SObeDpZmGnQ8ldw3QN2XREREZGhsl8DtQkTJtDU1MSyZctKx/L5PE8//TSnnHIKANOmTSMYDPbr09LSwsqVK0t9ZsyYQTKZ5KWXXir1efHFF0kmk/36rFy5kpaWllKfpUuXEg6HmTZt2v68LREREZFDQle2i419GwGws6N4f7xQjd98POxhtsC+OqbuGABC8Y28kh2Na/gh1Qo9Gw/odUVERESGwqB3+ezr6+Ptt98uPV+9ejUrVqygtraWsWPHMm/ePBYuXMjEiROZOHEiCxcuJBaLMXv2bAASiQSf/exnufrqq6mrq6O2tpb58+czderU0q6fRx99NGeddRZz587lBz/4AQCXXXYZ5557LpMmTQLgzDPPZPLkycyZM4dvfvObdHZ2Mn/+fObOnavKMxERESlLxeq0oNMIToSj3Xe8hgM43bNoSv0Ulq5dSqJ6M5vbwiQrj6C65w3Y+GdIjD7g1xcRERF5Nw06UHvllVf44Ac/WHr+b//2bwBcfPHFPPjgg1x77bVkMhmuuOIKurq6mD59OkuXLqWysrL0mrvuuotAIMBFF11EJpPhwx/+MA8++CB+v7/U5+GHH+aqq64q7QZ6/vnnc++995ba/X4/TzzxBFdccQWnnnoq0WiU2bNn861vfWvw74KIiIjIMFBcPy3b503vbOxb5TW8S4EagBPydhV9J3gk03gDNv0ZJp9/wK8vIiIi8m4yXLd8F7bo6ekhkUiQTCZV1SYiIiKHvC899SWeWv8U2S3nUJ+ewXNcjIELV78JlTtfY3Z/SZkpZjwyAxeXvjdv4JralVzRew9MOA0u/tUBvbaIiIjI/jLQrOiA7PIpIiIiIu++YoWakxnNOSNavTCtatQBD9MA4sE4ExITAPBFN/C7rmavYdMKcJwDfn0RERGRd5MCNREREZFhoD3Tzpb0FsDAzjZzSmybDQneJcVpn7GKTbxmjcLxhyGXhM5/vGtjEBEREXk3KFATERERGQaKGxIE7CZwwxzlFDckeM+7NobiTp+ViRYsAnRUeptJsenP79oYRERERN4NCtREREREhoHX2vtvSNDQ6wVsQ1GhlvevBVze9E30GjYqUBMREZHhRYGaiIiIyDBQXD/NyoxifNwk0F2YZjny3QvUJtVOImAEyLm9GMEunsuO9RpUoSYiIiLDjAI1ERERkUOc67qlQM3OjuYjdVu8huqxEK9718YR9oeZWONVpfkjG/ldd2Fjgpa/gW29a+MQEREROdAUqImIiIgc4lrTrbRn2jHw4WRHMiP67m9IUFSc9lmZaOEdZyRWsBKsDLStetfHIiIiInKgKFATEREROcSt7FgJgN8aCW6II523vYYhDNRilZtw8dFacZTXoHXUREREZBhRoCYiIiJyiCtuSJApbEhQ3+M9H4pArbjTZ9ZYBzi8ZhzhNWgdNRERERlGFKiJiIiIHOJe7/B29LQzo5lUZeJPrvMaRr7nXR/L4dWHE/FHyLtpfKF2/tg3xmtQhZqIiIgMIwrURERERA5h229IcHbtZq+h9nCIVr/r4wn4AhxddzQAvsgGnuoZ5TW0vg5m9l0fj4iIiMiBoEBNRERE5BC2KbWJ7lw3Bn6cXBPTI2u9hiGY7llUnPZZU7OFjdSTD9eCY8HmV4dsTCIiIiL7kwI1ERERkUNYcf00v9kMboAjrKHbkKCouDFBKL4BMNgY8yrWtI6aiIiIDBcK1EREREQOYcXpnum+ZgDqkkO3IUFRMVBLsR6wedU9zGvQOmoiIiIyTChQExERETmEFQM1JzuKY2ty+Ho3AgaMPHbIxjS2ciyVwUpsN48vvJnf9xQ2JlCFmoiIiAwTCtREREREDlGu6/J6+9YdPs+qKWxIUH8khCuHbFyGYTC5fjIAgdhGnk0XArX2tyDbM2TjEhEREdlfFKiJiIiIHKLW966n1+zFIICTa+S9oaHfkKBoSp037bO2ZgsdJMjEmgEXWlYM6bhERERE9gcFaiIiIiKHqOJ0T19+FODncOstr+FgCNQK66j5o+sBWBue5DVoHTUREREZBhSoiYiIiByiijt8ZgobElR3r/QaDqJArdfZAEaev9gTvAatoyYiIiLDgAI1ERERkUNUsULNzo7ivXVZfH1bwPBB09QhHhk0xhqpi9Th4uCLtPBkcrTXsPEvQzswERERkf1AgZqIiIjIIagz28mr7a8C4GRHc2GltzkBI46GUGwIR+YxDKNUpRaJb+Sl3FivIbkOUu1DODIRERGRfadATUREROQQ9OPXf0zOzuFkR2Hk6vlo38+8hvfMHtqBbeOY+mMAqK7ZTC8xeisK0z61jpqIiIgc4hSoiYiIiBxikrkkP/n7TwDItX2Iq0b8lWjfOojVwYmfGeLRbXXciOMAyARfxQh085J1uNfw8o/AdYdwZCIiIiL7RoGaiIiIyCHm4VUPkzJTuLkmnL5JzOVRr2HGFyEUH9rBbWN603SOG3EclpuhYtRjLEzOxDaC8Nbv4NWfD/XwRERERPaaAjURERGRQ0hfvo+HVj0EQLbtQ/x/I14j1vsPiFTDSXOHdnDb8fv8fP2UrxP0BSH2d9ZWtnOP/U9e42+vg762oR2giIiIyF5SoCYiIiJyCFn8xmJ68724+Qbs3slc4StUp518BYQrh3ZwO3FY9WF8/rjPA1DR/Dj32qezOnA4ZDrht9cM8ehERERE9o4CNREREZFDRNpM89+v/TcA2bYPcmndG1Qk34RQJUy/bIhHt2uXTLmEo2qPwjZShJt/wxdTn8Ux/PDao7Dq8aEenoiIiMigKVATEREROUT8/M2f05XrArMOq2cqVwUL1WnTL4NozdAObjeCviBfP+Xr+A0/voq/8UZFHz9yzvMan/g3yHQN7QBFREREBkmBmoiIiMghIGtlefC1BwHItJ3Op2rfJtH9OgTjcPIXhnZwA3B03dFcOuVSACpG/Yo7zDPZGBgDfVvgd/8+xKMTERERGRwFaiIiIiKHgF++9UvaM+1g1WAl38PV4f/1Gt57KcTrhnZwA3T5cZczITEB2+jBP3IZV6Y+i4sBKx6Ct58c6uGJiIiIDJgCNREREZGDXN7O818r/wuAbNtp/L+aNdR2/RUCEZhx5RCPbuDC/jBfP+XrGBj4q5bzt4ocD7tneY2/nge9W4Z0fCIiIiIDpUBNRERE5CD32NuPsSW9BawqzOQJXBf7tddwwsVQ2Ti0gxuk9zS8h08d/SkAoqMeYWHFSNa7DZBcDz88DTa8MsQjFBEREdkzBWoiIiIiB7E/rP8Dt710OwD59vdzb/whRnS8Av4QnPqloR3cXvq3af/GhRMvBMPF3/AkH6ufwt/cUdDbgvvA2fDn/x7qIYqIiIjslgI1ERERkYPUr975FV/6v3nknRxO7yS+nXmFc60nwfDBuXdDYtRQD3GvBP1BFpyygK/O+CoBX4B81dvMbm7iId/xGHYefnUlPP6vYOWHeqgiIiIiO6VATUREROQg9OPXf8wNz96A49q43cdxf0cLZ/GyV5n28UVw/KeGeoj77ONHfpwHZj1AfbQeI9LGraNTfCk4EwcDXvkvWHQu9G4e6mGKiIiI7ECBmoiIiMhBxHVdvvPn73D7y940T6PjJH6WfJ2T3ZUQqoBP/Q9MPn+IR7n/vKfhPfz03J9y3IjjMPxZnhr9Bu9veC+PR6ux1r+I9Z1puE/Mh9ZVQz1UERERkRLDdV13qAcxVHp6ekgkEiSTSaqqqoZ6OCIiIlLmbMdm4YsL+dmbPwMg1Pp+fpl5mnHOBojWwr/8D4yaNsSjPDBM2+S2l2/jZ2/8DBfv42mdBf/c282FvSkabBtr9MkEps+Fo8+DQHiIRywiIiLD0UCzIgVqCtRERERkiGWtLL/+x6+5768P0pJeBy58qHUkt2ReJeamoWoUzHkMRhw51EM94Nb3rud/3vwffv7GL+k1uwHwuXBqOsN7c1mOz+aY4MSxD5tFYtL78Y+bAbWHgWEM7cBFRERkWFCgNgAK1ERERGQodWQ6+MnfF/PQ6z8hZSUBiNgGX29v5+x0yus08jj454eheswQjvTdl7fzLFu7jJ/8/af8te0v/dpCjssx+RzvyeY5Mp+nyogTqTqKysaTqG06mqoRo4nWjYGKRvAHh+gORERE5FCkQG0AFKiJiIjIu8l1XTb2beSllhUsfeePvND6JDYmAHWmwWd7Ormgt4+468JhH4QZX4QjPlz21Vdvd73NHzf8kT+ue4XXOv9K1unZZd+44zDCsplomkzO5TnMDDE+MIJYw7FUHT6d2Pj3QsPRCtpERERkpxSoDYACNRERETlQbMdmU98mVmz+Oy9s/Bsr21awMfMmOdL9+k3N5vh0Ty9npNL4fUGMqR+HGV+ApilDNPKDm+u6rOtdx5+3/IVn1r3MWx2r6c5sJO0kyfvsXb5uXCFgG2daNFkuFcFmEpWTaKw7iqqRR1A9aiL+2gkQrd7lddsz7Wzs20ilv4G+3gDVuU2MjeUxmqZCMHqA7lhERETeTQrUBkCBmsiBV/wrxjAMXNfF8J4M6ZhERPaHvJ2nI93Bmu5W1nZvZlPXejZ2v83GvjVsybfQRTe24ezwuoDrclQ+zzG5PB/pSzPZiRAcc6K3Ftjx/wJVI4fgboaHlJmiLd3GP7o38OeWV3lty194u+cNup3OXb4m6Lo0WRY1tkOtbRN3/EQJEydGKhhmY9Bgk8+khTR5Y2tgNz5vclI2y3uzOY7P2lA1heARp1Ez+UMYY06CQBjTMTFtEx9+LAv8rknAZxAIBDB8QfD53o23RWTQ8naeoC+IYRjgumCbEAgBkDVtwgGf1yYiMgyVTaD23e9+l29+85u0tLRwzDHHcPfdd/P+979/QK9VoCZ7y3Vd2jJtbOjdAEDA9ZFubSHX2UksUkFlrI5gJI4/HIJICCMYIJ3rI5XpJZ3tI53rJZNPkc2lyJopsmYGw7KJuj6ito+44ycRraUmMYp4YgTRRC2hyioIBcnaOXozPfSku+lLd9OX6SGd7SGV6yOb986bNvtImSkydpqMlSbrZMk5OQKOTcCxCTo2QVz8xf8MPwH8+Aw/foIEfAH8RgDLZ3gPA/Kui+nmsRyLsOsScwxiNlTiJxKoIBqsoi/kpyNg02Hk2GR20ZZvp8tNEXENmkyX8WaOiWaGOjtCpW8ERmwU+eqRuDWN9IWrSOb7SGeT5PNpDMvEsPIEXcsbmy8AhoFt4I0HB9OxsJw8ODZBxyXoQBSDkC9IOBAlFIgRDsaIBONEQxVEwxXEIpUEQ3HMAOQD0GWadKW7SabayeV6CVsQM11GGDAikqCuehSJmmYqaxsIV9ZjhyuwcMhZJlkzSyabJpfPkDUz5M0M+XwW08pj2A4+1yWCj0jATzgUIxappCJcRSgSJRaNYATjpQ+nu+O4DhkrQ2+uj/ZMD919SUKmnwrbT0PYpiYaxJ9ohmjNfg8rTcdkc2ozq7s28EbHBjJ9ecLpFKPdLM1+aKwZTW1dM5HKeojVQiQBPv8uz5exMrT0tdDS00NrXw+p3i1kU1tI53sx8xlqnCjjApUcVRFlRHUloYYjoX4ihOL79b5EBsJ1XTqznbzRsZq/tLzJ39vfZmP3m3TmNtDnJsn5rD2eI+S4jLNMjsqZTMnlmGiHGBebQOW4E4mOPwlGnQA1E/SDhgOsK9vF6x2v85fNr7Gy9R9s7HqbZH4TSfpwjIF/FPa5LiNsm1a/H3e7X7OxponPhbTPIGP4yPgMrJ38uvpdF78L1Y7NONNinGkxxnSpdyupCY/CTozFqh+NWd1AuxGmO9VBOpuEfA5fPk/YzhM1fAQDEeLBCkaE6qmL1FFZUUFtwygqGydgRGv6XTNtpunIdNCZ7aSlr4NN7evoSG6gK9WKnU/TaIYYmfMxznJIVDdSNe5YGo44gXDtWP3ePIBMx8TAIOALeKGVlcPxhTBdl3Bgx39LXdcla2dJmSlSZoq+XA/pTAf5TJJ0tpdsOkkmmyJr5jEtC5/j4gcCNmD4MQjh84UI+CMEAxGCwQihQIS0YbLJ3ML6/GbWZzawLvUP2s0kVQQYY8OETB/j81nq7Rh9di2r7Rra/bXk4vXEYyGqIwbN0SgjI1HiBIgYMfzBEbRisN5J0UoP3U4bXem3ca1ejvBFOMq2OKy3myaqSYYP521jHH/NN/N6toGRtTHGjwhzVGMNkxoTjEkE8buWVwVa+P3oOC45y8HvMwgFtgbTPfke3ux8k4AvQF2kjrpcmljPJu8zUkUjxEeAPwBAKmfx5pZeMqZNbTxEbSxETTxE0L9j0O26LikzRXum3XukW+noWU/YzDLOF2ac42OEmceobIK6I6DucJxQnPU9G/lb61usanubtr42KrI2dek0k9wUh1fUMXLkRKL14yExGqqawR8kbzms6UjxTmsf77T14bjQXB2luTrCqOooTYkIIb+PjX0bWdW5ilUdq+hIt9Lk+mjOZWju62CUL0pD7UQCNeOheixUj4NYLWnTZlVLDys39vD3zb3EQn7G1EQZUxtjTG2M0TVRYqHAAfjdLnJoKYtA7ac//Slz5szhu9/9Lqeeeio/+MEP+NGPfsTrr7/O2LFj9/h6BWpDJ2/n2dC3Add1SYQTVNgO3RvX0ueGqKgZQaJ6BNHwgVnbxHVdes1eKoOVGIaBY+boTaepqqre4SdtaTPN291v83b326xJruGd9jdY0/UOm/Pt5Nn1tJL9xXBdgi7kffowO5TCjoNt7Pwbo8EKOS7Vjk2N7VDtOFTaBhE3QNofotcfpM/nJ2045LDIGTYZwyFngLuTS/tcl3rbpsmyabRt6i2XSjdKwpcgER5BfXw0TbVHUNMwnqrGcfgTo8iE4vRZGdrTPXT0ddPeu4n2ni109LXSnWmnJ9tBr9lNt91NNymSRm6n195W1HGotR3qbJs62ybh+Klww0R9cdpDEVoCBpsw6SBDypcf0PtUaTscZpocZpqMN02iRiWhcCOR+FhiVeOoq2qmJtGEWxGny/CxKW+zJdNDR08LydQWcrlerHwvjp3GtnNYrgmuTZ0dZAxhJgbDHBGvp6Z5MvGRkzDqj4DK5t1Wi7iuS97Jk85ncZwQ8WCAsJPBMHxe4HcIfNPpui59Zh+bett4p7OFdd0tbOlaS7KvhUQ+wLH+SqbHAzTG/fhHvQeaT/CC0gPEcizWJtfy0qbXeGXTa7zVsYq27D9wnTwNeR8T7TyTzT5GEmNkfCxNI46muvloIk1HYdQe7n2DVPjGyHEdOjIdvNmxlpWta1jdsY5MbzuhfB9xu4+ok8VvBPD5/GD4sPF+WGC74Lg2edck6aTpdNJ0O2l6SdPry2PtIWwJuC61tk1dobpphA3Ndohmo5KxkQaa646iZswxhJqOgrqJEK87YO+nDJ7lWLSmW9nU18KarlbWdWygs3sNPekt9OS6CNgmI3J+xlgORxkuo6rGUznyKPwjx/GaL8PzXW/xzIYX2Jj+x5DeR6BQZdds2TRZFlkjwOZAhPZAgE6fQ9a3Y6Xkrs4zzjSZmDepcBx6fEG6AnF6AxGy2JjYxG2otl3qLJtaB+LECQYqSYcryISj5MJh+pw8GSsFtknMgrhtUWE5xPxRwoEqsqEwvUEfqYBL0s2SzHeRtzLUmQZNeZvmfJ4RToRE9DCitROJNB5O7ZijaBwzkVBo6w+i8naeNzrf4NX2V1nZvpKWnvX4MlnCqV6q0t1ELZewESXoixMIxgkEKwmHqgiH4gSCUdI+hz4jT8rIk3L66M50kDZ7sawsrp3HcfLYro2Di4OLi4td+j/4cam2odaGWtul0g4SdCvJB6voC8dIR8JkQwEcI03K6qXPTpFysqTcPCksMj4Xw4Uqx6HethlhW9RYLmEnSLcRoisQJBnwk/Y7pA2LtGHjHPz/1Axag2XhAlnDR84w+n3ujTgOccelwnWIOS5VNiRsgwrLT8wKYlhxNgbCrIu6bAln6A2mdjh/zPE+o4QLYTb4cfCBC0HXIOQU/2/gd/1Yhp9UwEevzyXtd8kaFim/hTmAz0PelHKLzYEAq4NBcnv4DF9l28Rd7/eTi/dZ08bABaKOS5XjUOW4VNouEduPTZC1QR8bwg4Z/+7/XPtdlwbbpsGyabBt6iwIW2H8Zpy8U0mvk6DbSdDt1JB1ophOmDwhwrEw8XiEyniE2phBTcwgEXGJBR18hoUPC59hAhY+bEwnj2nnsGwL087jOjaVhKglTDUhqnxV2NGRpEIjSIVHkApUYzkGluNg2i6241IVDdBU5YWFNXGDTek1tKZbATCyvZBch2HlAAj6AlQGolT4o1QEYmDEWd8XIUUcK1iJFYzh+MByLVzXojYSpT4aojLoUhEOEK+owiisoek4LqbjYNkupu0QCfr3qfrSdV0c18Ff/OGyY4Ph2+lnRMfxPl/4dvN7xHIsevI9dOe6sRyLUeFa4mYOMl0QikFi7NbPQY5Lb84imTbpzZmMqAgzojKsStK9VBaB2vTp0znhhBP43ve+Vzp29NFH87GPfYxbbrllj68fboGa4zpkrezWA1Ye08ySt72/bE3bJGWlSVkp0maadLaL7lQ7velusplecvkU+XyavJXFsk0c1ybkGERcg7BjECJI0F9BKFSJGQqQC/jJB8D05UnnuunL9+C3LEKmRdiyCFkOfiNCMBCjJ+CyxZel1ehji91Fm93N9r/xYo5DwnFI2N4j5hhEnAARN0yECGHD+8DmBuMY4Qr8kQr8gSAG4DN8RIwQYSPoPQJxKqI1GOEYrUYPm6w21uc3s7r7bVb3rSXj5gm6Bo2Ww1gzx2jLpNb0E6CSdeEK1kb8bAzkaadvl++3z3UZadkEcMkYu/5ptOG6hAvBWMh1CRW+DroQwCDoGgRcA8vw0eeDXh/0+Vxyu/i+PuC6RB3vnOHC+cKudx7v4SPq+gm7fsIECRshIr4oAX8MJxDGCoRwAkFMXEzXwrZNLMfEck0s18J2LSzXxnFt/K5LwHUJOS4hDAKGV7mW8xmkfZA2HNKYpN0cWTdPhQMNpstIy2K05ZLw11AdGUu+upHOyhidUT/vZLtYn1zNltwWHCdPxHGJ2xZVrkXUgZDrxzD8WEYAy+fHxIdtuDiui4FLoPDeBXEJ4MOPH7f0AQzyuOQLH/q9h4NpOJiGS96AvOHiAjHHpcJxqXBtYg5EHQPwk/T76fEb9BguKZ+7xzDJ53pjCuC9VwEXDMA2DEwDTLz/b1/JsDd8rku88Gvf5fdhD/CcCdvGMgzShrFX4wg5Ls2WRYNtkzMMuvwBun1+en07D/r2JO44VDgOUccl4roEXB8h1wf42BQ02OLf8/u+PxiFP8PNloUf74Ns3ghjGd4HExvIGC5pn1v6v73NuMKOQ7zw59G7J6hxDOqcALVuiFp/JTWRRoKVI9gSifCWleedfB+t2c10O+3kjBw+1/uGLOA6+PF+jSsclxG2S6PlMsIxqDWiVAfqcON1tEdirHVgk2PSle+kz+kmZDs0WjDBtjjcztMYrKWpcgK5umZWB4P8NZfmrXQHrZm1dLvtWMbufxhQbdtMyeWZmsszKZ+nOzKCjZXNrA1U0YJLr9VF1klTaUGj4zLKMWlwDKpDtVRERpCrqKbbH6XdCJK08qTySTJmL1k7RdbJkHWz5DDJGibdfgtrkL/WAdelovANVtxxiLjQ5Q+wOWBgHoAPjcXfJ+Msc2slkb+GutgYRtQdSV3TMcRHTiJQPdqrfAjF9vsY5ODXme3kjc43cF0/mzoson2bqbP6qIjVEo9VE4hGCURimIEQpuVg2jm2pLawrnct/+hZyztda9iUXkeH3UnA9f6NqnJsEo5J1PERdP3kfX5yhp+cz08esAyblOHQ6XcGFLJEHYca2/usVe3YxGwfUTdI3hdibdDH+qBFeidTlIdape1QVRhzle0Sc3z43CD/CPlZE3L6/b1cLgzXJe66xAp/FwZdFwMfuD58GPhc7997L5zxKvstA2zDCwQtAyy8f9NMAyKOy2GmzcS8yZH5PHX5KNl8M3/1NbAmniBZFcGOZTDZiO2miLo2AStPwMrhd73iul5j62fYTOEzrM91GWXZjC/8cKzZhKSTYGUwzuqQj7Zwjnwgt9/fn2bTwgA6/D6y+3ladbwQftbZNnWWQ9IXZG0wQGvA2Olnl2AhpJ5gWtTYNpsCYTYEI2zxQ2aAQfeuBFyXiXmTo/N5miyL9f4IbwfibAr46Q2YOL6D59v8attmRCHcq7cc4naQoBUFq4I+p5LVIR8tYYuucIpsqAcGUTkM3nvhd13v9/xOPgsEXZfKwufPCschZkPE9RGy/QScIH4niM8OgRPBdaIYRgV+XxWBQIJgsBY3HCcXCWCGXPIhG4NOHKedvN1J2k7S6/SStDN0uTks16XexfuMmc/SaEOCOCaVdBsVtDtxOp0IWcvBNWx8YRsjZOMETCx/jryRI+Xm6MMktZO/k+stm7GWyRjTYrRpk6eCDreSNreCbjeGa3jBccQOUOkGaQiGqQ7XUF3ZTLCynlQgTo8/RsYXwLbTYJtU+g3qQj7qwgFq4pXUVVZTXVGNEYiSI0jeDZAlTN72vicLB/yEAj5CAR/hbf6/s8raQ9WwD9Ty+TyxWIyf//zn/NM//VPp+Je+9CVWrFjB008/vcNrcrkcudzWv7R7enoYM2bMsAnUtqS2cMb/nDHUwxiwuOMQcF16fL79EjYcKCMsi4l5k/GmxSjTJmZXEQ2MoaLiCCJ1E4mPPJKGcZOpbxqDz+/DciwyVgaf4SNoBLDzFvlchlAoTCgcxR8YWBm1aZsk80lvDQsjiJ3LY/X2EgmECEUrCEdjhMIxDK2/Mmiu6w5oTTfHdejN99Kb78W0fKTTOUJmiojhEg7FiISihEJRAoEA/mAIwx/a5blsxyZrZ+nMdNOaamdjdyubuzfS1rORnnQb/lyecD5PtWtR5fMRD1URCyeoiNaSiNeTqKwnUTGCeGUN4XgVTjBGp9XHpt4W3urcyD/a17C56x+0pzbSlW+jx+mhx8jstLrGcF1irhdGVDkOCdulwjGocP1E3RAxX4xaXyX1wVpGVYxkZPU4qpsPJ95wGFSPgXBlv/dnU28Ha7u2sC7ZQmvXOjr7NpLMbCFldlNpQoPlcjgO43wBRiYOo6HxKBIjDydYN947XyDcb3w5O8ea5BpWbH6DFZvfZHXnm/SlN5Ozusm7abJGnkwh7DRcl8pC1V+17VDpuERdPz6C+IwQhhHGb4QI+ALYhp82n8lGMrQaGXK7Wbx8uIs7WysK62yHiBvg7VCIt4MMOuDaV1HHYWLeq4iZaOYZ68Swq8axrqqB140gb1tZ2szNJHexHtm2fK5LUyEkHWnZGPhI+6NkfFGyviC26+LgTcf24U2F8uPiw0fA9VHlBqgzQozwhagPJRhRMZrmugnUjBhPvHYUVDZBvEHrXslBxXIs2tJtbEptYm1yI2+1veN9XkjnqEilGe1aNFSOoqZ2PPH6UdQ0jCVSM3KHJQdc12VLegtvdr3JW11v0ZnqJdfVDV1tVGa7ifkjhIMVZII+evwOvT6TDquPrmwHaStF1HaIWRaVVp64axAywtj+EH0BPym/QcrnknGyZN08MdslYbvUWBY1jkvMjeEGKmiNBGgNuLT787TaSfrYc9hSY9tMzeWZkssxxrRY56thU6SR3oo6rJBByuojZ2exnDymm8d0bSzDwcah0oGE7VJtO1TZEHXC+H0VOIEYRqASX7iCYDBKwBfE5/Pj9wXxG378/iABI4BlQA8Zkk6KbidF0uqmO9+JYVtUWDaVlknCyhO0g4TcCCFfBWF/gkiomni4nspYA75Ygmw0SCYE2YBJ1mojldlCIGcSzZnEshmieQfHrQZfHbGKRmKVI4klGogn6qhM1FBVUUFFOHDQrGtmORa9+V4qghUE/UEwM5BPexXPhkHOsunNWiSiQVJmD+t71xP0F34InGojkk8TDleR9/nocV3W9KRpSffhWN1kzDZ6cm0kcx105jtoz3ZS5cBRTpDJWZNJ2Sz++OG0VEzmH4GJvE4jG9PdtGU6yJsZxlfZjIvnGBnJUxf34/fbZOwcWTtHysrQm01hm3litkGFbVDluEQDVURC9UTDDRAaQcpXSa8vQbdRRcb2kTFtLMeEQCd5oxXT6GBMpJqj/QGOctMkDBPfiIlQPwni9aXPin35Pt7u2sDajiQt3RnsVBfjwhlGJqJUR0OkHZOklfYe+R6SmQ4yuSQj3QhjciHGWw6hQIhc/RTyI6biVo3Cdg16siYdfVk29raysXcTW9KtWG4bFYEtOLTRnWunz+wja+fI23lyrk0Op/Cnrf8Piv0uBAC/i/dvpmvgd8EH+Fyj8KAQ5PrwY+BikPS7dAdckn57rz5XJGybMZaF4Xo/vM25QUz8GEDe55I1IO2DzPDJb3ar0nbw4ZL0v3s3fEVXN5/v3rqj9gdyd7HObdxl/6NHVvHbLw1s6a1DwbAP1DZt2sSoUaP405/+xCmnnFI6vnDhQhY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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# These plots are for illustration , there are easier way to do calibration, see below\n", + "fig, axes = plt.subplots(2,1,figsize=(15,8))\n", + "spe_sil_xcstep1_nm = model_neon.process(spe_sil)\n", + "spe_sil_xcstep1_cm1 = model_neon.process(spe_sil,convert_back=True)\n", + "spe_sil_xcstep2_cm1 = model_si.process(spe_sil_x1_nm)\n", + "\n", + "spe_sil.plot(ax = axes[0],label=\"Si original\")\n", + "spe_sil_xcstep1_cm1.plot(ax = axes[0],label=\"Si (Ne calibrated)\")\n", + "spe_sil_xcstep2_cm1.plot(ax = axes[0],label=\"Si (Ne + LZ calibrated)\")\n", + "axes[0].set_xlabel('Raman shift [cm$^{-1}$]')\n", + "# \n", + "spe_sil_xcstep1_nm.plot(ax = axes[1],label=\"Si (Ne calibrated)\")\n", + "model_si.fit_res.plot(ax = axes[1])\n", + "axes[1].set_xlabel(\"wavelength [nm]\")\n", + "plt.grid()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 4.3. Apply x-calibration" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "# That's it , one line to apply both steps of the calibration \n", + "spe_sil_calibrated = calmodel.apply_calibration_x(spe_sil)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 4.4. Plot and verify results" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The Si peak of the calibrated spectrum (Gaussian) 519.7905948715678\n" + ] + }, + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " amplitude amplitude_stderr center center_stderr sigma \\\n", + "g00_p0 350946.836907 7978.596975 519.790595 0.079704 3.035902 \n", + "\n", + " sigma_stderr fwhm fwhm_stderr height height_stderr \n", + "g00_p0 0.079683 7.149002 0.18764 46117.282097 1048.573639 " + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Plot\n", + "fig, ax = plt.subplots(1,1,figsize=(15,3))\n", + "spe_sil.plot(label=\"Si original\",ax=ax)\n", + "spe_sil_calibrated.plot(ax=ax,label=\"Si calibrated\")\n", + "ax.set_xlabel('Raman shift [cm$^{-1}$]')\n", + "# \n", + "ax.set_xlim(520-20,520+20)\n", + "# let's check the Si peak\n", + "si_peak = 520.45\n", + "spe_test = spe_sil_calibrated.trim_axes(method='x-axis',boundaries=(si_peak-50,si_peak+50))\n", + "\n", + "fitres = find_peaks(spe_test,profile=\"Gaussian\")\n", + " \n", + "fitres.plot(ax=ax,label=\"fit res\")\n", + "spe_test.plot(ax=ax,label=\"Si laser zeroed\", fmt=\":\")\n", + "df = fitres.to_dataframe_peaks().sort_values(by=\"height\",ascending=False)\n", + "print(\"The Si peak of the calibrated spectrum (Gaussian)\", df.iloc[0][\"center\"])\n", + "\n", + "df.head()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The Si peak of the calibrated spectrum (Pearson4) 520.5433097307822\n" + ] + }, + { + "data": { + "text/html": [ + "
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amplitudeamplitude_stderrcentercenter_stderrsigmasigma_stderrexponexpon_stderrskewskew_stderrfwhmfwhm_stderrheightheight_stderrpositionposition_stderr
g00_p0394578.4876664257.063967520.543310.1012524.0991230.1504071.5591360.071620.4026810.0617266.5276870.09604549357.548279379.795746520.0139650.031484
\n", + "
" + ], + "text/plain": [ + " amplitude amplitude_stderr center center_stderr sigma \\\n", + "g00_p0 394578.487666 4257.063967 520.54331 0.101252 4.099123 \n", + "\n", + " sigma_stderr expon expon_stderr skew skew_stderr fwhm \\\n", + "g00_p0 0.150407 1.559136 0.07162 0.402681 0.061726 6.527687 \n", + "\n", + " fwhm_stderr height height_stderr position position_stderr \n", + "g00_p0 0.096045 49357.548279 379.795746 520.013965 0.031484 " + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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6jEcGSnYWhjNb0JxbDhHHsMxSg8oNlZUWQ+dvUNd4HdQa/rlpx7lyE5i9B92SllTOSmb8jbO8nzKA1hXfYEzdMWjN7yfsrkSnsvxwGFtO3yU79/4fCK625vT29aJnvZI42fz7tp6x7SqQnKlj/fEIRvx4GhsLE5qVdynKl0IIIcRTZmmq4eLnfg9t81/bUf9aAffnmOZYmmkeaPOo7agFZWFhQZs2bWjTpg2ffvopAwYMYNKkSY+VhPurduY/t8AqivLANWvrRxdi+rc4j/LPs91UKlVe4i44OJgePXrw2Wef4efnh1arJSgoiG+++eaRcYUk4YQQQgghnhvbb25n2vFpJGUnoUJFr0q9GFZr2FOtdvqvspJJXfY5Mct2YO2aTrF6yaA2xbTBW5Tt9TamNVo9OoZzWcz6/IJheQc8g1UsyMymf4+tnIg6Sc+SX7DvnMKh6/fymlcrrqV/Y29eq1YMMxP1Q0OrVCq+7FKNlKxctp+N4r3VIawZUI86Xo4PfZ4QQogXh0qleuS20H+7//fEnJONeZFXR/03lStXziuE8Chly5bFzMyMQ4cO0atXLwBycnI4efIkI0aMeOw+tVotbm5uHD9+nCZNmgCg1+s5ffo0NWvWLOAM/ufw4cN4eXkxYcKEvGu3b98udLxXjSThhBBCCCGesfScdL4M/jJv9Vs5h3JM9p1MdZfHOz+mqCjxN1AdXwSn16C5qyMnzZk0xQqlYX9UvoPA1p0C1UErVoOcxrNIXDsRC72Kr0+ZMcCxO5+FxAGgVkG7qu70a+RNHS+HAlV71ahVzOpWk7SsXA5ejaPv8hP8OMiXSsVke4wQQoinIz4+nrfffpt+/fpRvXp1bG1tOXnyJDNmzKBz586PFcPa2prBgwczevRoHB0dKVmyJDNmzCAjI4P+/fsXaDzDhg1j6tSplC1blooVKzJnzhwSExOfqJp62bJlCQ8PJygoiLp167J9+3a2bNlS6HivGknCCSGEEEI8QxfuXWD0H6OJSI1Ao9IwqMYgBlQbgKm6QOkt41EUMves4d78H7CyiMCpYhoAlpUqULxKK2z8x6CydSh0+HvVO3LrrZPUu7WKSs4ZTMjdwxfqrpjan6RVVRNmtB6HjZlNoWKbmaiZ/25t/JceJ+R2Iv5Lj/PTe76Ucn7GKwmFEEK8EmxsbKhfvz6zZs3KO9vN09OTwMBAxo8f/9hxpk2bhsFgwN/fn9TUVHx8fNi9ezcODgX7/Tt27Fiio6Pp3bs3Go2GgQMH4ufnh0ZT8C22f+ncuTMffvghQ4cOJTs7mw4dOjBx4kQmT55c6JivEpXyOBuCX1IpKSlotVqSk5PlEEEhhBBCPFUGxcDqi6v57tR35BpyKWZdjOlNp1PLtdazGVCuDi5shqM/kHTkGlHHHTCxyqXsh9VQ+b4PZVpCIT85VxSFU+GJLDt0i10XotEbFN5Q/8kss/kAnKzYgUDdJXKVXLzsvPim2TdUcKxQ6KkkZ+TQfdFRLkenUsLBkp/ea4i71qLQ8YQQQjxdWVlZhIWF4e3tjYXFk/38ztDl5lVVLUil05eRwWCgUqVKdOvWjS+++OJZD+eZetj3WFHmil7d7z4hhBBCiGckMSuRcYfGcfjuYQDaeLVhku+kvAIFT1PunRskzfkUi+yT2NhHA2BXxpJscy/sB45CVbd1oWPrcg3sPB/FskNhnLmTnHe9UVknOjb6EENSSdg+HteFR9nUvDGDqkRzO+U2/jv9mdF0Bs09mxeqX62VKav616PbgqPcis/Af+kxNgzyxcHarNBzEUIIIV40t2/fZs+ePTRr1ozs7Gzmzp1LWFhY3llz4umTlXCyEk4IIYQQT9HlhMt8sP8DItMjMdeYM6buGN4u//YTnc9SKLGXIXgesSu3EX/BEivXbLxeN4V6geDTD6wKX9QgIV3H+uPhrDp6i5iUbOD+VtE3ahanb+NSVHT/3/uuxM8DiF53DLWJgWJzP2SU7hRHo46iVqkZU3cM71R6p9DjiEjI4K0FR4hJyaaGpz1rB9THxlw+gxZCiOedMVfCvcoiIiLo0aMH58+fR1EUqlatyrRp02ja9NlXXH/WntVKOEnCSRJOCCGEEE/Jrlu7+PTwp2TmZlLStiTftfiOcg7lnlr/isFA+sYfMIvZjVnCnwDkpKu5c6IEjm91wm7QJFSm5oWOfzUmleWHw9h86i7ZuQYAXGzN8W/gxTv1S+Jk82BsxWAg7v1O2GiOYeUKuT3W8uW9o2y6tgmAdyu9yyifUWjUhTu/5lpMKm8vPEpSRg4NyzixLKAuFqaFPwtHCCFE0ZMknChqkoR7BiQJJ4QQQoinQW/QMzd0LkvOLQGgoUdDZjSd8fS2n+ZkwpkgoqfPIvFcDvZl0ynmkwIVO4Dv+1DSt9DnvRkMCgevxbHsUBh/XruXd72Khx39G3vToXoxzE0ekfQyGGDzADi/CUytMLy7mWUpF/j+1PcAtPBswbQm07AytSrUGM9EJNFrcTDpOj1tK7sx753amGjUhYolhBCi6EkSThQ1ScI9A5KEE0IIIURRS9Wl8vGfH/PHnT8ACKgSwAe1P8BEXfTbInPCLqC++COa86shM4H0WDPu/OGEQ/PyuH7+PTh6Fzp2hi6XTafusvxwGDfj0gFQq6BtZXf6NfambimHgm2xzdVBUE9yzu7nbrAL7tO+40AxNRMOTUBn0FHFqQo/tPoBJ0unQo33yI17BCw/gS7XwFt1SjCja3XU6qe8BVgIIcRjkSScKGqShHsGJAknhBBCiKIUmRbJkN+GcCP5BmZqMyY3nEynMp2KvuOoM8R9MYZ7B27jWiMFpwrpoC2JUm8ghgpd0Th7FDr03aRMVh29xfpj4aRk5QJga25C97qe9GlYCk/Hwq1WA0CXzt1uTUi5nImFi0KprTs4nZvE8N+Hk5ydjLfWmyVtl+Bq5Vqo8HsuRDN47Sn0BoV+jbyZ2LHS0z+LTwghxCNJEk4UNamOKoQQQgjxErmccJkhvw0hLjMOV0tXZrecTRXnKkXWn5Kjg6u7UB1fALcPY5JiBQZ7srKKQbdPoUIHVBoTCnsaWsjtRJYdDmPX+Wj0hvuf4Xo5WdG3YSne8vE0TsEDM2vcF25B6dcJt8p3UK15k9r9drO6/WoC9wQSlhxGwK4AlrRdgodNwROJbau4M71rdUZtPMOyw2HYW5kyvNXTO5NPCCGEEK82WQknK+GEEEIIYWRH7h7hwwMfkpGbQVn7ssxvPR93a/ei6Sw7laTvxnFv0z7ca8Zj45ENahMM5TqR7foalq26FTp0jt7AzvPRLDsURmhEUt5139JO9GvsTcuKrmiKYktnajQsbQtJt8GtKgRs564+nf67+3M37S7u1u4sabsELzuvQoVfdiiMz3+9CMBnr1ehT8NSRhy8EEKIJyUr4URRk5VwQgghhBAvgZ+v/8zkI5PJVXKp516PWS1mYWdWBB/2Jd6G44vg1CqygyEnxYbEW1psur0DdQNRa4tjWdjQ6TrWnwhn1ZHbRKdkAWCmUdO5pgd9G3lT2aOIP7y0dYfeW2FZOzIvXuHe2y0pvnYvK9utZMCeAdxKuZW3Iq6MfZkCh+/X2JvkzBy+33eNSdsuoLU0pUut4safhxBCiGdPlw5T/n/19PhIMLN+tuMRrzQpCyWEEEIIYQSKorDwzEI+OfwJuUour3m/xvzW842bgFMUMnat5U7Xhui+qgNH50J2Co71nHHv04riG45C68mgLVxC6XpsKuO3nMN32j5m7LpCdEoWzjbmfNi6PIc/bsnMt2sUfQLuL46lMXT7kTuHnUi7nsm9EV1ws3BkebvllHMox73Me/Td1ZdL8ZcKFX5E63IE/P8KuJEbz/DbxRgjDl4IIYT4byqViq1btxZZ/MmTJ1OzZs28rwMCAujSpUve182bN2fEiBFF1r+x/HMeLwNJwgkhhBBCPCGDYmDa8WnMDZ0LQP+q/ZnaZCpmGjPjdKDPgXM/wZJWxM/4hNQLiSRcsYLSzaHXRkzHheAwbi5qe+eCj92gcOBKLL2XHaf1t3+w7lg4WTkGKhez45u3a3D44xZ80LocLrbmxplLAahL1qL4V59gU0KHs8c52DoYZ3NHlvstp4pTFRKzEwncG8i1xGsFjq1Sqfi0Y2XerFUcvUHh/XWnCL4ZXwSzEEII8SqJjY1l0KBBlCxZEnNzc9zd3fHz8+Po0aN5baKiomjfvv1TG9P333/PihUrnkpfL2PizJhkO6oQQgghxBPINeQy6cgktt3YBsC4euPoVamXUWLrY26TNHcS9tbH0GRFAuBY2RqNhzf2Q0ZBw9cKHTtTp2fTqTssPxzGjbh0AFQqaFPJjX6Nvanv7fhcVA61au+PVVl3WN8Dzm0ESwe07WewuO1i3tv7HmfvnSVwTyDL2y3HW+tdoNhqtYrpb1UnJSuX3y7FMGDlSdYHNqBaCW0RzUYIIcTLrmvXruTk5LBy5UpKly5NTEwM+/btIyEhIa+Nu3sRnRP7H7TaJ/+9ptPpMDMz0oeLrzBZCSeEEEIIUUg6vY6RB0ay7cY2NCoNUxpPMU4C7t512D6S8DdaE7vxGMlnk8HaBZqPw3raGTzW7MeikAm4qORMpu+6TIOp+/hk63luxKVjY25Cv0beHBzVgkW9fWhQ2um5SMDlKdcG3lgIqEjesJp7Y3pha2bLvNbzqOhYkfiseAbsGcCd1DsFDm2qUTO3Vy0alHYkLTuXPsuPcz02zfhzEEII8dJLSkri0KFDTJ8+nRYtWuDl5UW9evUYN24cHTp0yGv3qO2oBoOB6dOnU7ZsWczNzSlZsiRfffVV3v2xY8dSvnx5rKysKF26NBMnTiQnJ+c/4/1zOypAbm4uQ4cOxd7eHicnJz755BP+XrezVKlSfPnllwQEBKDVagkMDHxk3ytWrOCzzz7jzJkzqFQqVCpV3gq85ORkBg4ciKurK3Z2drRs2ZIzZ87kG9O0adNwc3PD1taW/v37k5WV9dDX+0UkK+GEEEIIIQohIyeDD37/gOCoYMzUZnzd7GtalGxR6HiKwUDm9mVYpuxBdW03AFpvKxS1E6bNB0Df8WBa+Apxp8MTWXb4FjvORaE33H+TXdLRioCGpXjbpwS2FqaFjv1UVHuLrGvXiAxaCYRiUX4c2sCpLGyzkH67+nEj+QYD9gxgRbsVBa5Ea2GqYXFvH3otPsa5u8n4Lz3Gxvd8KeFgVTRzEUIIUXCKAjkZD2+j+5f7f7+Wdg/M/qWN2UN+3pta3V8q/hhsbGywsbFh69atNGjQAHPzwh3lMG7cOBYvXsysWbNo3LgxUVFRXL58Oe++ra0tK1aswMPDg3PnzhEYGIitrS1jxox57D5WrlxJ//79OXbsGCdPnmTgwIF4eXnlJdsAZs6cycSJE/nkk08eq+/u3btz/vx5du3axW+//QbcX4WnKAodOnTA0dGRHTt2oNVqWbhwIa1ateLq1as4OjqyYcMGJk2axA8//ECTJk1YvXo1s2fPpnTp0oV6DZ9XKuXvqc5XTFGWnRVCCCHEyys5O5n3973PmbgzWJpYMrvlbBoUa1C4YDlZKOc2cnvUDDIjc/FsFo9NsWwo3w6l7iAo0xyVunCbF3L0Bnadj2bZ4TBOhyflXW9Q2pF+jbxpVckNjfo5WvH2GOJG90R/+RButVNQdV0M1bsRlxFHwK4AwlPDKWVXiuXtluNsWfDz8RLSdby94Ag34tLxdrZm43u+ONs8/bPwhBDiVZeVlUVYWBje3t5YWPz/B1B/r3L6NBWwouqmTZsIDAwkMzOT2rVr06xZM3r06EH16tXz2qhUKrZs2fLA6jSA1NRUXFxcmDt3LgMGDHisPmfOnMmPP/7IyZMngfvnsm3dupXQ0FDg/kq4pKSkvNV3zZs3JzY2lgsXLuStfP/444/Ztm0bFy9eBO6vhKtVqxZbtmx5or4B9u/fzxtvvEFsbGy+xGTZsmUZM2YMAwcOpGHDhtSoUYP58+fn3W/QoAFZWVn5YhnLv36P/b+izBXJdlQhhBBCiAJIykoicE8gZ+LOYGdmx5K2SwqVgNPH3IID0+C7qqi2DcXCJgmVRiHHuRkMDYFeP6Iq17JQCbikDB3zD9yg6YzfGbb+NKfDkzDTqOlauwTbhzcmaKAvbau4v3AJOADn6WtxG9zz/qKELe/B1d24WLmwpO0SPKw9uJVyi8A9gSRnJxc4tqO1GWsG1Ke4vSVh99LpvfQ4KVn/vb1HCCGE+KeuXbsSGRnJtm3b8PPz48CBA9SuXfuxCyNcunSJ7OxsWrVq9Z9tfvrpJxo3boy7uzs2NjZMnDiR8PDwAo2zQYMG+Y6e8PX15dq1a+j1+rxrPj4+Ruk7JCSEtLQ0nJyc8lYL2tjYEBYWxo0bN/Lm7evrm+95//z6ZSDbUYUQQgghHlNiViKBewK5kngFRwtHFrddTHmH8gWKoUSeJWrMCFJOR1K6fSxmNnqwK47zYH9cavdC4+ZV6PFdj01j+eEwNp26Q1aOAQBnGzPeqe/FOw1K4mpb+O2szwuVWg3tpkFWEsqZH7k3YRDWfSZTrGMAS9ouIWBXANeTrjNs/zAWtVmEhUnB5lxMa8nq/vXotvAoF6NSGLDiJCv71cPSTFNEMxJCCPFYTK3ur0p7mP/ajjr7/1ehDT/771tPH7UdtYAsLCxo06YNbdq04dNPP2XAgAFMmjSJgICARz7X0tLyofeDg4Pp0aMHn332GX5+fmi1WoKCgvjmm28KPM5HsbbOvwKwsH0bDAaKFSvGgQMHHrhnb29vxBE//yQJJ4QQQgjxGBKyEhiwZwDXEq/hZOHEUr+llLEv83hPNhjg+l44+gOqsIPk3nFE0VuQmlIWpz5joHJnTDSFO5NNURT+vHaPpYfCOHg1Lu96pWJ29GtUik41PLAwfckSSGo1dP6BpEM3uXfuLgnjplGmTFk8KzVmYZuF9N7Vm9Oxpxn9x2hmNZ+Fibpgb3lLu9iwsl89eiwM5vitBIasDWGhvw9mJrKJRAghnhmV6tHbQv/tvi79f/+2cS7Q1lJjqVy58kMLMfxduXLlsLS0ZN++ff+6HfXw4cN4eXkxYcKEvGu3b98u8JiCg4Mf+LpcuXJoNP/9nuFx+jYzM8u3mg6gdu3aREdHY2JiQqlSpf41dqVKlQgODqZ3797/OcaXgSThhBBCCCEe4V7mPQL3BHI96Touli4s8VtCae2jDwpW0pNJmj2BpF2/49XkLmoTBVRqXLrUwbnSm1j5Fb6SaqZOz5bTd1l+OIxr/1/NU6WC1pXc6NfImwalHZ+vCqfGpjFFO3kDKedaYuceg8mvfcF1F2WdyjK35VwG7h3IgYgDfBn8JZN8JxX4tajioWVZ37r4Lz3G71fiGLnxDN91r/lCbuEVQgjxdMTHx/P222/Tr18/qlevjq2tLSdPnmTGjBl07tz5sWJYWFgwduxYxowZg5mZGY0aNSIuLo4LFy7Qv39/ypYtS3h4OEFBQdStW5ft27c/8ty2fxMREcFHH33EoEGDOHXqFHPmzHnkirbH6btUqVKEhYURGhpKiRIlsLW1pXXr1vj6+tKlSxemT59OhQoViIyMZMeOHXTp0gUfHx8++OAD+vTpg4+PD40bN2bt2rVcuHDhpSvMIEk4IYQQQoiHuJd5j/67+3Mz+Saulq4s9VtKKW2phz8p+S4cXwQnVhC/2YycNBOSIxxw6NUL6g/C0r5koccTnZzFqqO3WHc8nKSM++eVWZtp6FbXk4CGpfByevqf8D8rajtHSv78O6qVnSDmHKzuAv12U9utNjOazuDDAx+y6domnCydGFZrWIHj1y3lyPx36xC48iS/nIlEa2nCF52rvtzJTSGEEIVmY2ND/fr1mTVrFjdu3CAnJwdPT08CAwMZP378Y8eZOHEiJiYmfPrpp0RGRlKsWDHee+89ADp37syHH37I0KFDyc7OpkOHDkycOJHJkycXaKy9e/cmMzOTevXqodFoGDZsGAMHDnzocx6n765du7J582ZatGhBUlISy5cvJyAggB07djBhwgT69etHXFwc7u7uNG3aFDc3NwC6d+/OjRs3GDt2LFlZWXTt2pXBgweze/fuAs3reSfVUaU6qhBCCCH+w73Me/Td1ZdbKbdws3Jjmd8yStr9dwItc98GUtYvxNUzFJWSC0ByXEn0xRqjHTIJjaN7occSGpHEskNh7DgXRa7h/tu3Eg6WBDQsRbe6nthZFG4760shLRaW+WGIu0nctVI4z/oZTbFS/HT1Jz47+hkAE+pPoEfFHoUKv+1MJB8EnUZRYGiLsozyq2DM0QshhPiHh1WuLLC/V1UtYKVT8fJ6VtVRZSWcEEIIIcS/iM+MZ8DuAdxKuYW7tTvL2i7D087zwYb6XLj8K/o/5nL7hwiUXDU2zdVY128MvkPQlm8H6sKdyZarN7D7QgzLDocRcjsx73o9b0f6NfKmTWU32R4JYOMK/luJetePlBs6snp3puSvh3mr/FvEZcYxL3QeU45NwcnSiTZebQoc/vUaHqRm5TBhy3nm/n4draUpgU1fru0xQgghhCh6T3S67NSpU1GpVIwYMSLvmqIoTJ48GQ8PDywtLWnevDkXLlzI97zs7GyGDRuGs7Mz1tbWvP7669y5cydfm8TERPz9/dFqtWi1Wvz9/UlKSsrXJjw8nE6dOmFtbY2zszPDhw9Hp9M9yZSEEEIIIe5XQd0byI3kG7hauf5rAk4fd5fUH0bC7FqwsQ+amBM4lM1CW8sVk4CV0Hc7VOxQqARcckYOCw/eoOmM33l/3SlCbidiqlHxZu3i/DqsMRsG+dKuqrsk4P7OwQvnT7/H1MaAc7lIVBv8ITeb96q/R7fy3VBQGPfnOM7GnS1U+HfqezGm3f0VcF/tuMSPJ8KNOXohhBBFxcwaJifff8gqOPGMFToJd+LECRYtWkT16tXzXZ8xYwbffvstc+fO5cSJE7i7u9OmTRtSU1Pz2owYMYItW7YQFBTEoUOHSEtLo2PHjvkqaPTq1YvQ0FB27drFrl27CA0Nxd/fP+++Xq+nQ4cOpKenc+jQIYKCgti0aRMjR44s7JSEEEIIIUjOTmbg3oFcS7yGi6ULS9suzZ+AS7hJ7oYRXG/Zijtzt5MTeRcsHaHpaFxXBeOx/iDmDV4rVN834tKYuPU8DabuY+rOy0QmZ+FkbcbwVuU4/HFLvu1Wk6rFtUaa6cvHvL4fZTaswLq4KdzYD1sGoVIMjK8/nmYlmpGtz2bY/mHcSb3z6GD/YnCzMgz6/xVw4zafY+e5KGMOXwghhBAvuUKdCZeWlkbt2rWZN28eX375JTVr1uS7775DURQ8PDwYMWIEY8eOBe6venNzc2P69OkMGjSI5ORkXFxcWL16Nd27dwcgMjIST09PduzYgZ+fH5cuXaJy5coEBwdTv3594H5pWl9fXy5fvkyFChXYuXMnHTt2JCIiAg+P+/u7g4KCCAgIIDY29rH27cqZcEIIIYT4uxRdCoF7ArkYfxFHC0eWt1tOaW1pFIOB3JDtmN4IgsvbAYXw353IzbGk2PBeWHb9CEwtC9Wnoigcun6PZYfC+P1KXN71iu629Gvkzes1PbAwLdx21lfWjf2wths56XqSdU1w+mYrmfosAnYFcCnhEqW1pVnVfhVa84InNBVF4eNN5/jxZARmGjVLA3xoUs6lCCYhhBCvLqOeCSfEv3hWZ8IVaiXc+++/T4cOHWjdunW+62FhYURHR9O2bdu8a+bm5jRr1owjR44AEBISQk5OTr42Hh4eVK1aNa/N0aNH0Wq1eQk4gAYNGqDVavO1qVq1al4CDsDPz4/s7GxCQkIKMy0hhBBCvMLSdGkM3juYi/EXcTB3YGnbpZS2LkHO/kWENa9BWP+RGM7/CihQtjXFv/sO70PnsOwxoVAJuKwcPeuPh+P33R/4Lz3O71fiUKmgdSVX1g2oz84PmtCtrqck4AqjTEsMneYRvt+ZuJ3XiP+4J1amVsxtNRc3KzduJt9k5IGR5OhzChxapVIx5c1qvFbNHZ3ewMBVIfnO6xNCCCGE+C8FLswQFBTEqVOnOHHixAP3oqOjAfJKzP7Fzc2N27dv57UxMzPDwcHhgTZ/PT86OhpXV9cH4ru6uuZr889+HBwcMDMzy2vzT9nZ2WRnZ+d9nZKS8tC5CiGEEOLVkJmbydD9Qzl77yxacy1LG02n7LktcHwJJinRGNJdMeg1ZLl0xqrneHCtSGFTYzEpWaw+epu1x26TmHE/CWRlpqGbjyd9GpbC21nOqzEGda1uOL51mPgNO7DT74Ujc3FtOJQfWv1A7529ORZ9jM+DP+fzhp+jUhXsbD2NWsWs7jVJzTrJn9fu0W/FCX4c1ICK7rKzQgghhBD/rUBJuIiICD744AP27Nnz0CWh/3wjoyjKI9/c/LPNv7UvTJu/mzp1Kp999tlDxyGEEEKIV0uOPoePDnxESEwI9VJMmHhMDT/4o7S8vzJNZedO8eFdMG09CJPiha+IefZOEssOhfHr2ShyDfdPAylub0nfRqV428cTraWpsaYk/p/D2O/R1vFAfWgK7JkAlg5UqPUOXzf7mqH7h7L1+lY8bT0ZWH1ggWObm2hY6F+Hd5cc41R4Ev5Lj7PpvYaUdLIqgpkIIYQQ4mVQoO2oISEhxMbGUqdOHUxMTDAxMeHgwYPMnj0bExOTvJVp/1yJFhsbm3fP3d0dnU5HYmLiQ9vExMQ80H9cXFy+Nv/sJzExkZycnAdWyP1l3LhxJCcn5z0iIiIKMn0hhBBCvGT0Bj0f//kxh+78yfCkNBZGhpF1OobMOFOyVJXhjUUw4hyWfaYXOgGXqzcwfss5Xp97mK2hkeQaFOqWcmDBu7U5OLo5A5qUlgRcEVK3GgO+QwHIXPEhqatn0qREE8bXGw/AnNNz+O32b4WKbWVmwvKAelR0tyUuNZt3lgYTk5JltLELIYQQ4uVSoCRcq1atOHfuHKGhoXkPHx8f3nnnHUJDQyldujTu7u7s3bs37zk6nY6DBw/SsGFDAOrUqYOpqWm+NlFRUZw/fz6vja+vL8nJyRw/fjyvzbFjx0hOTs7X5vz580RF/a8q1Z49ezA3N6dOnTr/On5zc3Ps7OzyPYQQQgjxajIoBj47+hn7bu3m8/gkAhMTMDFXcGvvhdfXY7D49DDU6A4mZoXuI0OXy6DVIaw7Fo5KBV1qerBtaCM2vteQdlWLYaIpdKF68bhUKmj7JdnF3iB8nwN3py4lY8cKulfszruV3gVg/KHxXEm4UqjwWitTVvWrh5eTFREJmfgvPUZShs6YMxBCCPEEDBkZXKpYiUsVK2HIyHjWwxGvuAK987O1taVq1ar5HtbW1jg5OVG1alVUKhUjRoxgypQpbNmyhfPnzxMQEICVlRW9evUCQKvV0r9/f0aOHMm+ffs4ffo07777LtWqVcsr9FCpUiXatWtHYGAgwcHBBAcHExgYSMeOHalQoQIAbdu2pXLlyvj7+3P69Gn27dvHqFGjCAwMlOSaEEIIIR5KURRmnpjJ/vM/sXxDBq/dzQSVGjp+h8PXe7Dq2BeV+skSZPfSsum5+Bj7LsdibqJmwbt1+K5HLaqXsDfOJMTjU6kwC1iAVRkHLJ10mB//BCJPM9JnJL7FfMnMzWTY/mHEZ8YXKryrnQVr+tfH1dacqzFpBCw/QXp2rpEnIYQQ4mWhUqnYunXrf95v3rw5I0aMeGrjeRndunULlUpFaGjosx5KPkb/+HXMmDGMGDGCIUOG4OPjw927d9mzZw+2trZ5bWbNmkWXLl3o1q0bjRo1wsrKil9++QWN5n9HHK9du5Zq1arRtm1b2rZtS/Xq1Vm9enXefY1Gw/bt27GwsKBRo0Z069aNLl268PXXXxt7SkIIIYR4ycw/M5/t51eycHsGFjfNuXPYCeWt1eDT1yjxb91Lp+v8I5yJSMLeypR1gfXxq+JulNiicFTmFhRfuxvP3hXRkAprumKSEMbMZjPxsvMiKj2Kjw58VKiKqQCejlasGVAfeytTQiOSGLQ6hOxcvZFnIYQQ4nkXGxvLoEGDKFmyJObm5ri7u+Pn58fRo0fz2kRFRdG+fftnOErxrKgURVGe9SCelZSUFLRaLcnJybJ6TgghhHhFrLqwivVHp7AgOo7iaQbuHHbB7ZPJWPr1Mkr80Igk+q84QXy6jhIOlqzsV48yLjZGiS2MICsFVnaCqFBSE4pjMXQNEW72vLP9HdJy0uhariuTfCcVuGLqX06HJ/LOkmNk6PS0q+LO3F61ZNuxEEIUUFZWFmFhYXh7ez+0KOTjMGRkcKX2/SOrKpwKQW1VtAV0mjRpQk5ODlOnTqV06dLExMSwb98+qlevTocOHR4rRvPmzalZsybfffddkY71v+h0OszMCn8cx/PQz61bt/D29ub06dPUrFnzgfsP+x4rylyRvCMQQgghxCtj87XN/Lb/K9ZExuCVm4uJWwm8Nv9qtATc/ssx9FwUTHy6jioedmwe0lAScM8bCzt4dxMpCd7c2WsgvM+7eGWomNF0BmqVmk3XNrHu8rpCh69V0oHFvX0w06jZdSGacZvP8Qp/5i2EEK+UpKQkDh06xPTp02nRogVeXl7Uq1ePcePG5UvAPWo76j+tWbMGHx8fbG1tcXd3p1evXsTGxubdT0xM5J133sHFxQVLS0vKlSvH8uXL8+7fvXuX7t274+DggJOTE507d+bWrVt59wMCAujSpQtTp07Fw8OD8uXL/+s4SpUqhUqleuDxpP2cO3eOli1bYmlpiZOTEwMHDiQtLS1f38uXL6dSpUpYWFhQsWJF5s2bl+/+8ePHqVWrFhYWFvj4+HD69OnHfn2fJknCCSGEEOKVsCtsF1eWfMyERWB+1xTFvRoM2IvK5d/faBZU0PFwAleFkJmjp2l5F34c5Iur7ZN9ei+KiLUzlkOWYmKlwsoxDfXPATRxqclHdT4CYOaJmRyNPPqIIP+tUVlnZveshVoFG0Pu8NX2S5KIE0IIIzFkZGDIyMj3c1XR6TBkZJCblJR335CRQW58PLkJCf97bmYm+uTk+9cTE/Pa5YtrMBR6bDY2NtjY2LB161ays7MLP8l/0Ol0fPHFF5w5c4atW7cSFhZGQEBA3v2JEydy8eJFdu7cyaVLl5g/fz7Ozs4AZGRk0KJFC2xsbPjjjz84dOgQNjY2tGvXDp3uf4WE9u3bx6VLl9i7dy+//vrrv47jxIkTREVFERUVxZ07d2jQoAFNmjR5on4yMjJo164dDg4OnDhxgo0bN/Lbb78xdOjQvOcsXryYCRMm8NVXX3Hp0iWmTJnCxIkTWblyJQDp6el5NQRCQkKYPHkyo0aNMtrrb0wmz3oAQgghhBBF7Y87f3B4x1AGnckhNceKxCgvbL7fcX9V1BNSFIVZv11j9r5rAHStXYJpXathKlsQn2umFevgvW4lmi3dUUWHQlAvevfawNXEq2y7sY1RB0exrsM6vOy8ChW/XVV3pnWtzpifzrLkUBj2VqYMbVnOuJMQQohX0F9bS8sdOYyJoyMA8cuWEffd94987rVGjf/1eqXLl7jeqjX6xERK/7IN83KF+3ltYmLCihUrCAwMZMGCBdSuXZtmzZrRo0cPqlevXqiYAP369cv7d+nSpZk9ezb16tUjLS0NGxsbwsPDqVWrFj4+PsD9FWt/CQoKQq1Ws2TJkrxVa8uXL8fe3p4DBw7Qtm1bAKytrVmyZMlDt4e6uLjk/fuDDz4gKiqKEydOPFE/ixcvJjMzk1WrVmFtbQ3A3Llz6dSpE9OnT8fNzY0vvviCb775hjfffBMAb29vLl68yMKFC+nTpw9r165Fr9ezbNkyrKysqFKlCnfu3GHw4MGFfs2Lirw7FEIIIcRL7UTUcc5uDuCLuDiK103C2c+LEj8eMEoCLkdvYOyms3kJuGEty/L129UlAfeCMKlQD5X/JjCzQbn5B6mfvcnEOmOo7lKdFF0Kw/YPI1WXWuj43Xw8+aRDJQC+3nOV1UdvGWnkQgghnlddu3YlMjKSbdu24efnx4EDB6hduzYrVqwodMzTp0/TuXNnvLy8sLW1pXnz5gCEh4cDMHjwYIKCgqhZsyZjxozhyJEjec8NCQnh+vXr2Nra5q3Uc3R0JCsrixs3buS1q1at2mOfz7Zo0SKWLl3Kzz//nJeYK2w/ly5dokaNGnkJOIBGjRphMBi4cuUKcXFxRERE0L9//7y4NjY2fPnll3lx/4ph9bfz/nx9fR/35X2qZCWcEEIIIV5a56NOEz+tB0Md4gEwNB6KS5svQP3kSbL07FzeX3eKA1fiUKvgiy5Vead+4VZNiWeoeG3osY7Ykb1JuHQL7e03mTV/HT139iIsOYwxf4xhbsu5aNSaQoUf0KQ0KZk5zN5/nU+3XcDO0pTONYsbeRJCCPHqqHAqBACVpWXeNad+/XDs3RuDTof6bwkeQ2YmhsxMbrRuA0C5w4dQmZig5OaCWo3a3Dyvbdl9v92P+4SFIAAsLCxo06YNbdq04dNPP2XAgAFMmjQp3xbSx5Wenk7btm1p27Yta9aswcXFhfDwcPz8/PK2ebZv357bt2+zfft2fvvtN1q1asX777/P119/jcFgoE6dOqxdu/aB2H9f2fb3JNjDHDhwgGHDhrF+/Xpq1KiRd72w/SiK8p/FkFQqFYb/3x68ePFi6tevn+++RqPJi/GikI9phRBCCPFSuhZzhpy+3fDabU78VSty236Jxu8royTg4lKz6bEomANX4rAwVbPI30cScC+y0s2wfP09UClY6C/iemQus1vOxlxjzqG7h/j+1KO3OD3Mh23K09vXC0WBkRvOsP9yjJEGLoQQrx61lRVqK6t8iRuVmRlqKytM7O3z7qutrDBxcsrbsgqgtrREo9Xev+7gkNcuX1wjvE/4p8qVK5Oenl6o516+fJl79+4xbdo0mjRpQsWKFfMVZfiLi4sLAQEBrFmzhu+++45FixYBULt2ba5du4arqytly5bN99BqtQUay/Xr1+natSvjx4/P2xr6l8L2U7lyZUJDQ/O9PocPH0atVlO+fHnc3NwoXrw4N2/efCCut7d3XowzZ86QmZmZFyM4OLhAc3taJAknhBBCiJfOnZhzZK5oj6dtBqgVaBaIScNhRol9My6NN+cf5tzdZBytzVgf2IDWld2MEls8O3Z9x1Fm1vs4ls+AI7OpcmkvXzb6EoDlF5az7ca2QsdWqVRM7lSFLjU9yDUoDF5zimM34401dCGEEM+J+Ph4WrZsyZo1azh79ixhYWFs3LiRGTNm0Llz50LFLFmyJGZmZsyZM4ebN2+ybds2vvjii3xtPv30U37++WeuX7/OhQsX+PXXX6lU6f5xCO+88w7Ozs507tyZP//8k7CwMA4ePMgHH3zAnTt3HnscmZmZdOrUiZo1azJw4ECio6PzHk/SzzvvvIOFhQV9+vTh/Pnz/P777wwbNgx/f3/c3O6/v5o8eTJTp07l+++/5+rVq5w7d47ly5fz7bffAtCrVy/UajX9+/fn4sWL7Nixg6+//rpAr/PTIkk4IYQQQrxUYqNOoV/WhuqZ6VhUy8L9h/E4DfrcKLFPhSfSdf4RIhIyKeloxabBDalV0sEoscWzZ9ZuGLS5/4eNYfckmvxxjMBqgQBMPjKZM3FnCh1brVYx8+0atKroSnaugQErT3L+brJRxi2EEOL5YGNjQ/369Zk1axZNmzalatWqTJw4kcDAQObOnVuomC4uLqxYsYKNGzdSuXJlpk2b9kCCyczMjHHjxlG9enWaNm2KRqMhKCgIACsrK/744w9KlizJm2++SaVKlejXrx+ZmZnY2T3++bgxMTFcvnyZ/fv34+HhQbFixfIeT9KPlZUVu3fvJiEhgbp16/LWW2/RqlWrfK/XgAEDWLJkCStWrKBatWo0a9aMFStW5K2Es7Gx4ZdffuHixYvUqlWLCRMmMH369Mee29OkUl6kzbNGlpKSglarJTk5uUDffEIIIYR4Pt07EETqNx9TqlYi8eZmaPy34lCykVFi770Yw7D1p8jKMVC9hJalferiYmv+6CeKF45h50TuTFtDeqw5HiPfZWLpWH6P+B0XSxeCOgbhauVa6NhZOXp6LzvO8bAEnKzN2PCeL2VcbIw4eiGEePFlZWURFhaGt7c3Fk94RpshIyOvomqFUyF520/Fq+1h32NFmSuSlXBCCCGEeCmknvuF+BGfknXNkutXHcjtu8toCbg1wbcZtPokWTkGWlRwYX1gA0nAvcRUfp9h6lUGlUZBc2oe00u0p6x9WeIy4/jw9w/J1mcXOraFqYYlfXyoWtyO+HQd/kuOEZmU+egnCiGEEOKFJ0k4IYQQQrzwss+sx2Jzb4rVScbgnovZl+tw96jzxHEVReHr3Vf4ZOt5DAp09/FkcW8frM2lwPzLTKVW4750B96Dq2Pjmo7lxv4sqBiIrZktZ++d5avgr56oEpudhSkr+9ajtIs1kclZvLv0GPfSCp/YE0II8d/UVlZUunyJSpcvySo48cxJEk4IIYQQLzTd799gvuU9TBUDIZXMMPnxJ7zKNnziuDl6A6M2nmXu79cBGNG6HNO6VsNEI2+fXgUqUzPMB62B0s0hJx2noCHMc+yJWqVmy/UtrL+8/oniO9mYs6Z/fTy0FtyMS6fPsuOkZOUYZ/BCCCGEeC7Ju0ghhBBCvJCU3Fyi3+vEnXHz0etUbNDa4/DuViq41Xji2GnZufRbcYJNp+6gUauY3rUaI1qXR6VSGWHk4oVhYg7d15JjW5Pbv5pgPX4enzm9CcCMEzM4EX3iicJ72FuyekB9nKzNuBCZwoCVJ8nK0Rtj5EIIIYR4DkkSTgghhBAvntxsclcHkBJ8hewkU35KdcKz23pquj/5FtTYlCy6LzzKn9fuYWmqYUlvH7rXLWmEQYsXkrkNqp4rwNQclFzah2zh7eIt0Ct6Rh4YSWRa5BOFL+Niw8p+9bA1N+F4WAJD1p4iR28wztiFEEII8VyRJJwQQgghXixZKShr38L09i94NIvncJtcXEYvxrf4k29BvR6bxhvzjnAhMgUnazOCBjagRcXCV8IULwcTD29KrlpHqTfMMTeE8cn1U9TWliUxO5ERv48gM/fJCitULa5lSR8fzE3U7L8cy6iNZzAYCn/mnBBCvCye5PxNIR7mWX1vSRJOCCGEEC+MnBvnyJrRFlXYH6SrVHxU0QG3Ed/SsmTLJ4598lYCby04wt2kTEo5WbF5SENqeNo/+aDFS8G0bA1MB28FK2fU0eeYezUBT5WWSwmXmHRk0hO/ma9f2on579bGRK3i59BIJv9yQf74FEK8skxNTQHIyMh4xiMRL6u/vrf++l57WqS0lxBCCCFeCLrTB7kd+B5Kjh6tnynDyjrRtenndCrT6Ylj7zofzQdBp8nONVDD055lfXxwsjE3wqjFS8W5LPhvJmPG60RuimaulzU9uqrZGbaTSo6V6Fu17xOFb1nRjW+61WDEj6GsOnobe0tTPmpbwUiDF0KIF4dGo8He3p7Y2FgArKys5FxWYRSKopCRkUFsbCz29vZoNJqn2r8k4YQQQgjx/As/hubXPmhMTNCpVHzk6oKf7yi6V+z+xKFXHb3FpG0XUBRoVdGVOb1qYWUmb5HEfyhWA6XFJJQ9M1AnJROkK00X8yi+O/Ud5R3K06h4oycK37lmcVKycpm49Tyz91/HztKUAU1KG2nwQgjx4nB3dwfIS8QJYUz29vZ532NPk0p5hde5p6SkoNVqSU5Oxs7O7lkPRwghhBD/5vJ2+Kkf5GZxRm/Ox25OtG84mOG1hz9RWINBYcbuKyw4eAOAnvVK8kXnKpho5LQO8WgZW+dhEfIJao2eoyVrMVB9D1tzO4I6BFHS7skLefzw+3Vm7r4CwIy3qtPNx/OJYwohxItIr9eTk5PzrIchXiKmpqYPXQFXlLkiScJJEk4IIYR4biVOH47m6gbsPDM5aGXJaBcn3qziz9i6Y59oW4ou18CYn86wNfR+ZcuRbcoztGVZ2eoiCuZMEGwZBMBW63JMdM2mrH1Z1ry2BmtT6ycKrSgKU3ZcYvGfYahVMO+dOrSr+vQ/sRdCCCFeNUWZK5KPeoUQQgjx/FEUUr9/j+jle4k8as+vejs+cHWmXfmujKk75omSZalZOfRdcZytoZFo1CpmvlWdYa3KSQJOFFyNHtBuGklhllRYlsbkYAPXk64z4dAEDIrhiUKrVCrGv1aJbj4lMCgwfP1pDl+/Z6SBCyGEEOJZkCScEEIIIZ4v+hz4eSg28euxLZFJWJ1cxpW2o7V3Oyb5TkKtKvzbl5iULN5ecJTD1+OxMtOwLKAub8s2P/EkGgwmx7EpKCp8b6XRIS2LfeH7WHh24ROHVqlUTHmjGu2quKPTGwhcdZLT4YlGGLQQQgghngVJwgkhhBDiuWFIiUdZ1wNC14BGzaou5oxpbUnTks2Z2ngqGnXhK1hdi0nlzXlHuBydirONOT8O9KVZeRcjjl68qpy/CaJ4n9oUq5fElHvxNMrIZF7oPH4P//2JY5to1HzfsyaNyzqTodMTsPwEV6JTjTBqIYQQQjxtkoQTQgghxHMhN/wqtzs1597PwRhMzBnjUYL1tmbUc6/HN82+wVRjWujYx8MS6Dr/CHeTMintbM2WIQ2pVkJrxNGLV5lKrcZu7GpU1bqiVvTMvpdE43vZjDs0jptJN584vrmJhoX+dajpaU9yZg7+S48RkZBhhJELIYQQ4mmSJJwQQgghnr2Em6RNe4usmFwSr9ky0tGTXWZQ3aU6c1rOwcLEotChd5yL4t2lx0jJyqV2SXt+GtwQT0crIw5eCECthi4LUMq0IjHEkg9Wqqh1K5Hhvw8nRZfyxOGtzU1Y0bcuFdxsiU3N5p0lx4hNyTLCwIUQQgjxtEgSTgghhBDP1t1TsKQN9q63cW4AC/o78Ju1joqOFZnXah5WpoVPmC07FMb7606hyzXQtrIbawc0wNHazIiDF+JvTMxQuiwhM8URRadm/OV09PE3GPvHWPQG/ROHt7cyY3X/epR0tCI8IQP/pcdJytAZYeBCCCGEeBokCSeEEEKIZyZj20IMSztCxj1yXCszon1x9mrT8NZ6s6D1ArTmhdsyajAoTNlxic9/vYiigH8DL+a/WwdLs8KfKSfE41DbOuK5fhvF21vjWTqVxdFxXLp9kDmn5xglvqudBWv618fV1pwrMan0XXGCDF2uUWILIYQQomhJEk4IIYQQz0Ty7LHcHjuLqEOm6Lwa0dvdmbNZMRS3Kc6iNotwsnQqVNzsXD0f/BjKoj/un8U1pl0FPu9cBY1aZczhC/GfNG5e2H3+K9h7USI3hwVRsWw7vohdt3YZJX5JJytW96+P1tKU0+FJDFodQnbuk6+0E0IIIUTRkiScEEIIIZ4uRYE/ZqK5uBwAg0NJ+tiZcT71Fq6Wrixusxh3a/dChU7OzKHPsuP8ciYSE7WKb7vVYEjzsqhUkoATT5mtO/TeisHCDev9tsxer2Pm/glcSbhilPAV3G1Z3rcuVmYa/rx2jw9/DEVvUIwSWwghhBBFQ5JwQgghhHh6DHrYMQr2f4mNezYeHzXno16unE+7gbOlM0v8luBp51mo0FHJmXRbcJTgmwnYmJuwvG9d3qxdwsgTEKIAHEuT02I2GXHmmMSb8OWFaD7aP4zErESjhK9d0oFF/j6YadTsOBfN+M3nUBRJxAkhhBDPK0nCCSGEEOKpMKQmEt23Bbl/LgNUZLb5nIHFErmcdBVHC0eWtl2Kt9a7ULGvRKfy5rwjXIlJxcXWnB8HNaBJORfjTkCIQjCv3w7PGRPwbJWKr20aQ8LOMebAKHINxjnHrXE5Z2b3rIlaBT+ejGDqzsuSiBNCCCGeU5KEE0IIIUTRy0ggqndrEo/FcfeIExld5tE/6RgX4y/iYO7AkrZLKG1fulChj96I560FR4hKzqKMizVbhjSkikfhCjoIURSs2vtjPWwFilpDh/QMWofu4pvjM40Wv13VYkx7szoAi/64ybwDN4wWWwghhBDGU6Ak3Pz586levTp2dnbY2dnh6+vLzp078+4risLkyZPx8PDA0tKS5s2bc+HChXwxsrOzGTZsGM7OzlhbW/P6669z586dfG0SExPx9/dHq9Wi1Wrx9/cnKSkpX5vw8HA6deqEtbU1zs7ODB8+HJ1OSrQLIYQQz52kcFjmh7N3GKa2BuxGjmZg5A7O3TuH1lzL4raLKedQrlChfzkTSZ9lx0nNysXHy4FNgxtSwsHKyBMQwgjKtUH1xiJ0GRp8NltSbc4Sfr7+s9HCd6vryYTXKgEwc/cV1gTfNlpsIYQQQhhHgZJwJUqUYNq0aZw8eZKTJ0/SsmVLOnfunJdomzFjBt9++y1z587lxIkTuLu706ZNG1JTU/NijBgxgi1bthAUFMShQ4dIS0ujY8eO6PX/q+jUq1cvQkND2bVrF7t27SI0NBR/f/+8+3q9ng4dOpCens6hQ4cICgpi06ZNjBw58klfDyGEEEIYkRJxGpa2hXtXMS/hjsfmtYwwO8KZuDPYmtmyuM1iKjhWKFTsJX/eZNj60+j0BtpVcWfNgPrYW5kZeQZCGFG1t8hw640uxZRyFzWEbfmIc3HnjBY+sGlphrYoC8DEn8+z7Uyk0WILIYQQ4smplCc8NMLR0ZGZM2fSr18/PDw8GDFiBGPHjgXur3pzc3Nj+vTpDBo0iOTkZFxcXFi9ejXdu3cHIDIyEk9PT3bs2IGfnx+XLl2icuXKBAcHU79+fQCCg4Px9fXl8uXLVKhQgZ07d9KxY0ciIiLw8PAAICgoiICAAGJjY7Gzs3ussaekpKDVaklOTn7s5wghhBDi8aRvXkjkV9/i2eQeFuXLk9ljDe+f+IoT0SewNbVlcdvFVHGuUuC4BoPCl9svsexwGAABDUsxsWNlNGqpgCpeDPGTA7BN24aZjZ6pxb0JfPc3nC2djRJbURQm/nyeNcHhmKhVLO7tQ4uKrkaJLYQQQrwKijJXVOgz4fR6PUFBQaSnp+Pr60tYWBjR0dG0bds2r425uTnNmjXjyJEjAISEhJCTk5OvjYeHB1WrVs1rc/ToUbRabV4CDqBBgwZotdp8bapWrZqXgAPw8/MjOzubkJCQ/xxzdnY2KSkp+R5CCCGEMD7l7EbufT+D3HQ18eHeZPXeyrCTUzkRfQIbUxsWtllYqARcVo6eYetP5yXgxrWvyKROkoATLxanScuheQAAo++GsXJDd7Jys4wSW6VS8fnrVXm9hge5BoXBa0M4HpZglNhCCCGEeDIFTsKdO3cOGxsbzM3Nee+999iyZQuVK1cmOjoaADc3t3zt3dzc8u5FR0djZmaGg4PDQ9u4uj74aZ2rq2u+Nv/sx8HBATMzs7w2/2bq1Kl558xptVo8PT0LOHshhBBCPNKRuag2D6BEw3gcG7njuGIHHxz9lGNRx7AysWJ+6/lUc6lW4LDJGTn0Xnac7eeiMNWo+L5HTQY1K4NKJQk48YJRqTB77WvSK3UkJ96UTt9HsGlud6NVNVWrVXzTrQYtK7qSlWOg/4oTnL+bbJTYQgghhCi8AifhKlSoQGhoKMHBwQwePJg+ffpw8eLFvPv/fCOsKMoj3xz/s82/tS9Mm38aN24cycnJeY+IiIiHjksIIYQQj0/JzSVz4WDYMwEATdNBOCzcycjjkzkSeQRLE0vmt55PTdeaBY59NymTtxYc4XhYArbmJqzsW4/ONYsbeQZCPEVqNdZvrSD6jhf6DA2+W8+x4cAnRgtvqlHzQ6/a1CvlSGp2Ln2WHedmXJrR4gshhBCi4AqchDMzM6Ns2bL4+PgwdepUatSowffff4+7uzvAAyvRYmNj81atubu7o9PpSExMfGibmJiYB/qNi4vL1+af/SQmJpKTk/PACrm/Mzc3z6vs+tdDCCGEEE9OyUwjsmdzbn33O6mR5tDmc7LbfMZHB0fx590/sdBY8EOrH6jtVrvAsS9FpfDmvMNci03Dzc6cDe/50rCscc7PEuKZ0pjiteo3LGub4tUogdZ/zuP30CVGC29ppmFJgA+Vi9kRn67Df+lxopIzjRZfCCGEEAVT6DPh/qIoCtnZ2Xh7e+Pu7s7evXvz7ul0Og4ePEjDhg0BqFOnDqampvnaREVFcf78+bw2vr6+JCcnc/z48bw2x44dIzk5OV+b8+fPExUVlddmz549mJubU6dOnSedkhBCCCEKIisZgrqjSo0AFRhqDiKz/kCG7R/OwTsHsdBYMKfVHOq61y1w6CPX79FtwVFiUrIp52rD5iGNqFRMPkQTLw+1rQOllv1JvJMrTgYD5X8dy4Vru40W387ClFX961Ha2Zq7SZm8u+QY8WnZRosvhBBCiMdXoOqo48ePp3379nh6epKamkpQUBDTpk1j165dtGnThunTpzN16lSWL19OuXLlmDJlCgcOHODKlSvY2toCMHjwYH799VdWrFiBo6Mjo0aNIj4+npCQEDQaDQDt27cnMjKShQsXAjBw4EC8vLz45ZdfgPtFIWrWrImbmxszZ84kISGBgIAAunTpwpw5cx578lIdVQghhHhCKVGw9i2IOY9iYkNWnS8xtO7G0H1DORlzEksTS35o9UOhEnA/h95l1MYz5OgV6nk7stjfB62VaRFMQohnz5AaTfwPPphdySXqii02q1dTokwDo8W/m5TJW/OPEJWcRbXiWtYF1sfWQv57EkIIIf7puamOGhMTg7+/PxUqVKBVq1YcO3YsLwEHMGbMGEaMGMGQIUPw8fHh7t277NmzJy8BBzBr1iy6dOlCt27daNSoEVZWVvzyyy95CTiAtWvXUq1aNdq2bUvbtm2pXr06q1evzruv0WjYvn07FhYWNGrUiG7dutGlSxe+/vrrJ309hBBCCPGYsk/8xr33W0HMebBxQ9V/B7mt3mLQ3kGcjDmJjakNi9osKnACTlEUFhy8wQdBoeToFTpUL8aqfvUkASdeampbd6ze2UH0GTuUBBPSJvYiLe3BI1oKq7i9Jav718fR2oxzd5MZsPIkWTl6o8UXQgghxKMVaCXcy0ZWwgkhhBCFoz//GzfeGYo+W4V7CzMcpvxMkqU9g34bxMX4i9iZ2bGozSKqOFcpWFyDwhe/XmTFkVsA9G/szYTXKqFWSwVU8WqIPvgjOd+PpkS1ZC45uFN+yClMzKyNFv/cnWR6Lg4mLTuX1pVcmf9uHUw1T3xCjRBCCPHSeG5WwgkhhBBCcOlXNFvfwaliCpbFTLGdsJl4C1v67+nPxfiLOFo4ssxvWYETcFk5et5feyovAfdJh0pM7FhZEnDileLerDs5n39NplpF5aRori1riaLPNVr8aiW0LOnjg7mJmt8uxTLmp7MYDK/sZ/JCCCHEUyVJOCGEEEI8NiV4EWzwh9wsHF9vgtevf5LgaEu/3f24mngVF0sXlvkto4JjhQLFTcrQ8e6SY+y6EI2ZRs2cnrUY0KR0Ec1CiOdb6arduNhmAjoFnPbc5eq7jVAMBqPFb1DaiXnv1EajVrHl9F0+//Uir/DmGCGEEOKpkSScEEIIIR5JMRiI/aArd8ZPRdEboHYfVD3WEq1k0HdXX24m38Td2p3l7ZZTxr5MgWJHJGTQdf4RTt5OxNbChJX96tGphkcRzUSIF4NPw9Ec9ehM/EUbDKdTuD2rh1Hjt6rkxjdv1wBgxZFbfPfbNaPGF0IIIcSDJAknhBBCiIfT56Bb2o+E3y6QFmlBmktv6PQ9ERlRBOwKIDw1nOI2xVnRbgVedl4FCn0hMpk35x/hRlw6xbQW/PReQ3zLOBXRRIR4sTQduJKojm64+yRRKnU39/Z/ZtT4XWoV5/PO97eNf7/vGssOhRk1vhBCCCHykyScEEIIIf5bdhqs74H53S0Ub5hMscDXsB02h7CUWwTsCiAyPRIvOy9WtFtBcZviBQr957U4ui04SlxqNhXdbdk8pCEV3G0f/UQhXhEqlYrG0/eyt/n95LbzH9+SdnyhUfvo7VuKkW3KA/D5rxf5KeSOUeMLIYQQ4n8kCSeEEEKIf5UbfpWcue3h+m9gaoXt6BXYj/yGa4nX6LurL7EZsZTRlmG533Lcrd0LFHvzqTv0XX6CdJ0e39JObHjPl2JayyKaiRAvLjONGa3f2c5PzsUw6CFpwlQSln9p1D6GtixL/8beAIzddJbdF6KNGl8IIYQQ90kSTgghhBAP0J05xK23OhOxIQq9xgn6/Arl/QiNDSVgVwDxWfFUdKzIsnbLcLFyeey4iqLww+/X+WjDGXINCp1qeLCiX13sLEyLcDZCvNgcLZ2o/e52Dkc4kxphSdy3q9GF/mK0+CqVigmvVeKtOiXQGxSGrTvNn9fijBZfCCGEEPdJEk4IIYQQ+d0JQbWpD0qOHoPBFP3rq6BEHQ7fPczAvQNJ0aVQw6UGS9ouwdHC8bHD6g0KE38+z8zdVwAY1LQ033evibmJpqhmIsRLo7R9Gay/XEtmWR0lGieg+bk3yqnVRouvVquY9mY1/Kq4odMb6Lv8BEHHw40WXwghhBCShBNCCCHE313bCys7Yqq+R8m3nCm1cTNmNRqzM2wnQ/cPJTM3k0bFG7GozSK05trHDpup0/PemhDWBIejUsGkTpUZ91ol1GpVEU5GiJdL7RINSPjuew6VNkGjGFBtG0rOxlEouTlGiW+iUTO7Zy06Vi9GrkHh483n+PyXi+gNilHiCyGEEK86ScIJIYQQAoCk70aTOecdyMmAMq0wH7Ubk1KVCLocxNg/xpJryKV9qfbMaTEHK1Orx46bkK6j15Jg9l6MwcxEzbxetenbyLsIZyLEy6t12Y7EvjaNBfZ25GaruD39Z+50bYwhMdYo8c1NNMzpWYsPW98v1rDscBj9V54gJcs4iT4hhBDiVSZJOCGEEOJVpygkfz2YqAW/EnHQnpxSb0KvH1HMbJh/Zj5fHfsKBYXuFbozrek0TDWPf35beHwGb80/wunwJLSWpqzpX5/21YoV4WSEePn5V+lDcsOh/GBwIjdDQ/adBAzLukCycSqbqlQqPmhdjh961cbCVM2BK3G8Oe8It+PTjRJfCCGEeFVJEk4IIYR4lRn0sP0jbBPXY+Gow75ZVUx6LyVXpeKL4C+YFzoPgPdqvMeE+hNQqx7/rcO5O8m8Of8wN++lU9zekk2Dfann/fhnyAkh/tvouqO53b4zy982YNc8CZPUC7C4JdwJMVofHaoXY+OghrjZmXM9No0uPxwm+Ga80eILIYQQrxqVoiiv7CEPKSkpaLVakpOTsbOze9bDEUIIIZ4qJTsd1eZAuLIdUGFoNQV1kyFk5mYy5o8xHIg4gAoVH9f7mF6VehUo9oErsQxZe4oMnZ5KxexY0bcubnYWRTIPIV5V2fps3tv7HnfvBDM/LoEy2Vmkx9mgrzYAu/c+M1o/MSlZBK46ydk7yZioVXz1RlW61y1ptPhCCCHE86Qoc0WyEk4IIYR4BeVGhnH7tYYk79kHGnPotgp1kyEkZiUyYM8ADkQcwExtxrfNvy1wAm7jyQj6rzxJhk5Po7JObBjUQBJwQhQBc405s1vOxs61Cr3cnTmOI3f+sOHudxtInTUYjPRZu5udBT8O9KXD/xdsGLvpHF/8KgUbhBBCiIKSJJwQQgjxqkkKJ2l8FzLv6og5bY+h2wao/Dp3Uu/Qe2dvzsadxc7MjsVtF9Paq/Vjh1UUhdn7rjH6p7PoDQpv1CrO8oB62Fo8/hlyQoiCsTWzZUGbBTjalWRgSSviq5pg6azDOmEdbOoPOZlG6cfSTMPcnrUY0bocAEsPhTFg5QlSpWCDEEII8dgkCSeEEEK8SqLOwpI2OHndwqEqeC2ai7pCcy7EX+DdHe9yK+UWxayLsbr9amq71X7ssLl6A+O3nOPbvVcBGNy8DN92q4GZibzVEKKoOVs6s6jNIuytXRjUTs3v/UqgMjWB85tgRUf00WFG6UelUjGidfm8gg2/X4mj6/wjhMdnGCW+EEII8bKTd8ZCCCHEKyL793Uoy16DtGhUbpVxX/ob5vXasD98P3139SU+K57yDuVZ89oaStuXfuy4GbpcBq0OYf3xCFQq+LxzFca2q4hKpSrC2Qgh/s7TzpP5redjY2rDt5oE5lZthWJhT+IfF7nZ4TWyDv1itL46VC/GhkG+uNmZczUmjS7zDnM8LMFo8YUQQoiXlSThhBBCiFdA8vxPufn+59w7BZRqAn13oth5sOrCKkb8PoLM3EwaeTRiZbuVuFq5Pnbc+LRsei4+xr7LsZibqJn/Th16+5YqsnkIIf5bJadKzG45GzO1GYtSLzGrensSbziQmw5pc4fD5R1G66t6CXt+fr8x1UtoSUjX8c6SYDaciDBafCGEEOJlJEk4IYQQ4mV3ZA6GI4vBoCJb5YXSayO55jZ8dewrZp6ciYLC2+XfZm6rudiY2Tx22Nvx6XSdf4QzEUnYW5myLrA+7aq6F+FEhBCPUte9Ll83+xqNSsPyuMNsm9gBlxbOOFVIgKBecPh7oxVscNf+r2BDjl5hzKazfLVdCjYIIYQQ/0WlKEb6LfwCKsqys0IIIcQzZzDAnk8g+AcA0rRdsR62iHRDFqP+GMXhu4dRoWKkz0h6V+5doO2jZyKS6LfiBPHpOko4WLKyXz3KuDx+Ak8IUbR23NzBx39+jIJC/0q9+SAmElXIMhQDJGY3x2HyOlSW1kbpS1EUvt93je9+uwZAy4qufN+jphRlEUII8UIqylyRJOEkCSeEEOIlZEhPIX50V5ycjqPWAG2/hIbDuJN6h2H7h3E96ToWGgumNZlGK69WBYq9/3IM7689TWaOnioedizvWxdXW4uimYgQotA2Xd3E5KOTAXi/xhDey1IRM+0rEi7bYO1tiefGPahsnI3W369nIxm54QzZuQbKu9mwtE9dPB2tjBZfCCGEeBqKMlck21GFEEKIl01mEnd7tODe/jtEHXeEN5dAw2GciD5Bz+09uZ50HWdLZ5a3W17gBFzQ8XACV4WQmaOnSTlnfhzkKwk4IZ5TXct3ZUzdMQD8cGYeq2ytsO4+CrWpgtY9EtXSVhB3xWj9dazuwYZBvrja3i/Y0PkHKdgghBBC/J0k4YQQQoiXSUokLH8NxxLhaMwN2A8aC9XfZuPVjQzcM5Ck7CQqOVZifYf1VHWu+thhFUVh1t6rfLz5HHqDQtfaJVgWUBcbc5MinIwQ4kn5V/bn/ZrvAzDz5Ex21C5GmU0r0dZwhcRbsKQNypU9Ruuvhqc924Y2pmpxu/8VbDgpBRuEEEIIkCScEEII8dJQYi7BkjYQewHrMg6U3bIa8y4DmHpsKp8f/ZxcJZd2pdqxsv1K3K0fv4BCjt7A2E1n+X7f/fOehrUsy9dvV8dUI28jhHgRDKo+iL5V+wLwRfAXbCUCAveDZwMMaSnc6juEhCnvG60/d60FGwc15LVq7vcLNvx0lik7LknBBiGEEK88efcshBBCvAQytq/k1pudyY2JBKdy0H8vKR7lGfzbYNZdXgfA0JpDmdF0BpYmlo8dNz07l8BVJ9lw8g5qFXz1RlVGtq1QoCIOQohnS6VS8WHtD/Gv7A/AZ0c/Y9Pdg9BnG0k5TchKMOXej3vRbxwO+lyj9GlppmFuz9oMb1UOgEV/3GTgqpOkZuUYJb4QQgjxIpLCDFKYQQghxAtOObeVsAGjyU42wb66NcVW7OFSZgwfHviQu2l3sTSxZGrjqQU+/y0uNZt+K05w7m4yFqZq5vSsTZvKbkU0CyFEUVMUhRknZrDm0hoAPm/4OV3KdCZhYl8sk7dj5ZwDZVrCW8vB0t5o/W47E8nojfcLNlRws2VJHx8p2CCEEOK5JdVRi4gk4YQQQrzwji+GHaPRpaq5d7cS7ot+YXvcYT47+hnZ+mw8bT2Z1XwWFRwrFCjszbg0ApafIDwhA0drM5b08aF2SYcimoQQ4mlRFIXpJ6az9tJaVKj4rOFnvFHuDbj0C2weCDkZZCllUHedg1n1RkbrNzQiiYGrThKbmo2jtRkL/etQt5Sj0eILIYQQxiLVUYUQQgiRj2IwoFs3CnaMAhTMmvfGZc1vTLu0gPGHxpOtz6ZJ8Sas77C+wAm4U+GJdJ1/hPCEDEo6WrFpcENJwAnxklCpVIytO5aeFXuioDDpyCS2Xt8KlTpBv13kqDyI+DmNW/79yfptvdH6relpz89DG+UVbOi1OJiNUrBBCCHEK0aScEIIIcQLxhB2kvDX6hI25ReyEk2gxSfcazWBAXvfY/3l+380v1fjPea2movWXPvYcdOyc/l69xV6LgomMSOH6iW0bBrcEG9n66KaihDiGVCpVIyrN47uFbqjoPDp4U/ZeHUjFKsB/hsx0ZpjYpGL6cHhcHqN0fotprVkwyDfvIINo386y1Qp2CCEEOIVIttRZTuqEEKIF0VqDPz+JZxeQ/gBezJizCk2uAtX3nqTMX+MIT4rHhtTG6Y0nkKLki0eO2yu3sCGk3f4du9V7qVlA9Cqoiuze9bC2tykqGYjhHjGFEVh6vGpecn7sXXH8m7ldzEkx6PfOBTTOzvuN2w4HKXVJFQa4/w8MBgUvvvtKrP3XwegdSVXvutRCxv5eSOEEOI5IGfCFRFJwgkhhHgRGFITSZwxAgfT31Ab0gDQFWuPodEHrNSfZd6ZeRgUA2Xty/Jt82/x1no/duwDV2KZsuMSV2Puxy3lZMXH7SvhV8VNKqAK8QpQFIVZIbNYfmE5AB/U/oAB1QaAwQAHpsIfM0iJsCAl3huP5dtQO7gare+fQ+8y+qez6HINVHS3ZXFvKdgghBDi2XtuzoSbOnUqdevWxdbWFldXV7p06cKVK1fytVEUhcmTJ+Ph4YGlpSXNmzfnwoUL+dpkZ2czbNgwnJ2dsba25vXXX+fOnTv52iQmJuLv749Wq0Wr1eLv709SUlK+NuHh4XTq1Alra2ucnZ0ZPnw4Op2uIFMSQgghnl8GA5zdQHjHhsRuPE7CeaB4Hei3m7Q+8xgRtZK5oXMxKAa6lO3Cug7rHjsBdzk6Bf+lxwhYfoKrMWloLU35tGNl9nzYjHZV3SUBJ8QrQqVS8WGdDxlSYwgA35/6njmn56CoVNByAvr2c4k+YU/q5WQSR7WH5DuPiPj4OtcszoZBvrjYmnM5OpUuPxzm5K0Eo8UXQgghnjcFSsIdPHiQ999/n+DgYPbu3Utubi5t27YlPT09r82MGTP49ttvmTt3LidOnMDd3Z02bdqQmpqa12bEiBFs2bKFoKAgDh06RFpaGh07dkSv1+e16dWrF6GhoezatYtdu3YRGhqKv79/3n29Xk+HDh1IT0/n0KFDBAUFsWnTJkaOHPkkr4cQQgjxfLh9FJa0gs2BOHgnYmIDZm0GQv/fOG1hztu/vM3hyMNYaCz4vOHnfNHoCyxNLB8ZNjY1i483neW17//kz2v3MNWoGNDYmz9Gt6BfY2/MTOS4WCFeNSqVisE1B/NhnQ8BWHR2Ed+c/AZFUdDU96fEzEloyxpwLH4dFreEOyFG67umpz3bhjaiiocd8ek6ei0+xk8hxkv0CSGEEM+TJ9qOGhcXh6urKwcPHqRp06YoioKHhwcjRoxg7NixwP1Vb25ubkyfPp1BgwaRnJyMi4sLq1evpnv37gBERkbi6enJjh078PPz49KlS1SuXJng4GDq168PQHBwML6+vly+fJkKFSqwc+dOOnbsSEREBB4eHgAEBQUREBBAbGzsYy0ZlO2oQgghnje6s4eJnTwaB9drWLvrwMwGpdGHKLX7o1jbsfT8UuaFzkOv6CllV4pvmn9DeYfyj4ybqdOz5M+bzD94gwzd/Q+92ld15+P2FfFyksILQoj71l1ax9TjUwF4s9ybTGwwERO1CSSFw7oeEHsBRWNBVuWPsez6odH6zdDl8tGPZ9h1IRqAQc1KM8avIhq1rMoVQgjxdD0321H/KTk5GQBHR0cAwsLCiI6Opm3btnltzM3NadasGUeOHAEgJCSEnJycfG08PDyoWrVqXpujR4+i1WrzEnAADRo0QKvV5mtTtWrVvAQcgJ+fH9nZ2YSE/Punc9nZ2aSkpOR7CCGEEM+FzCTYPYGEib1IvZhI7BktSu0+MPw0qmajiFVnE7g3kDmn56BX9Lzm/RpBHYMemYAzGBQ2hdyhxdcH+GbvVTJ0emp62vPTe77Mf7eOJOCEEPn0qtSLzxt+jlqlZvO1zYw8MJJsfTbYl4T+u6F8O+LPm3BrwiLujekJRjpe2srMhHnv1GZoi7IALDx4k0GrQ0jLzjVKfCGEEOJ5UOgknKIofPTRRzRu3JiqVasCEB19/5MrNze3fG3d3Nzy7kVHR2NmZoaDg8ND27i6Pnjoq6ura742/+zHwcEBMzOzvDb/NHXq1Lwz5rRaLZ6engWdthBCCGFUSlYG+gNzYHYtODoX58rJ2Fa0pdi3c1G9PhtsXNkXvo+3fnmLE9EnsDSx5KvGXzGtyTSsTR+eQDt6I57XfzjEyI1niE7Jori9JbN71mLLkIb4lHJ8SjMUQrxo3ij3Bt82+xYztRn7I/bz3t73SNWlgrkt9FiH3qkOAOq7B2BTf8jJNEq/arWKUX4V+L5HTcxM1Px2KYa35h/hTmKGUeILIYQQz1qhk3BDhw7l7NmzrF+//oF7/zzMWVGURx7w/M82/9a+MG3+bty4cSQnJ+c9IiIiHjomIYQQosgoChmbf+Bmcx9iZsyEzARwqYhJv58osfU4Fr7tyMrN4svgLxnx+wiSs5Op7FSZjZ028nqZ1x/6e/VGXBoDVp6k5+Jgzt9NwdbchI/bV2TfyGa8XsNDii4IIR6plVcrFrRZgLWpNSdjTtJvdz/uZd4DtQa3edvwmvQujhV0cH4TrOgIqTFG67tzzeL8OLABzjb/K9gQclsKNgghhHjxFSoJN2zYMLZt28bvv/9OiRIl8q67u7sDPLASLTY2Nm/Vmru7OzqdjsTExIe2iYl58Bd5XFxcvjb/7CcxMZGcnJwHVsj9xdzcHDs7u3wPIYQQ4qmLPgerOsP+SeiSFNKirNC3nArvHYZyrQG4cO8C3X7txo9XfgQgoEoAa9qvwcvO6z/DJqTrmPTzefxm/cFvl2LQqFX4N/DiwOjmvNesDBammqcyPSHEy6Gue12W+y3H0cKRywmX6b2zNxGp9z/Etuo5Afy3gIU9SvhJ7vZsTtahX4zWd62SDmwb2ojKxey4l6aj56JjbJKCDUIIIV5wBUrCKYrC0KFD2bx5M/v378fb2zvffW9vb9zd3dm7d2/eNZ1Ox8GDB2nYsCEAderUwdTUNF+bqKgozp8/n9fG19eX5ORkjh8/ntfm2LFjJCcn52tz/vx5oqKi8trs2bMHc3Nz6tSpU5BpCSGEEE9Fzs3zpH/bCxY0gbCDWLmp8OhdnzJ79qFpOgQ0JuQacllwZgHv7niXsOQwXCxdWNB6ASN9RmKqMf3XuNm5ehYevEGzmb+z8uhtcg0KrSq6sntEE77oUhUnG/OnPFMhxMuiklMlVrdfTXGb4kSkRvDujnc5F3fu/k3vphC4n7iwkqRch4hhozCc/dlofXvYW/LTYF/8qrih0xsYufEM03ZexmAwzjl0QgghxNNWoOqoQ4YMYd26dfz8889UqFAh77pWq8XS0hKA6dOnM3XqVJYvX065cuWYMmUKBw4c4MqVK9ja2gIwePBgfv31V1asWIGjoyOjRo0iPj6ekJAQNJr7n9K3b9+eyMhIFi5cCMDAgQPx8vLil1/uf8Km1+upWbMmbm5uzJw5k4SEBAICAujSpQtz5sx5rPlIdVQhhBBPhS6DzPWTuD3zF9QaA2U6xqKp+Qa0ngQOpfKa3Uq+xYRDEzh77ywAbb3aMrHBROwt7P81rKIobD8XxbSdl7mTeP9MpsrF7PikQyUalnUu6lkJIV4hcRlxDNk3hMsJl7HQWDCtyTRaebUCQB9zm7sBb+LoGYGNhw7afAYNh4ORtr4bDArf7r3K3N+vA9Cmshvfda+JtbmJUeILIYQQf1eUuaICJeH+6wyZ5cuXExAQANz/g+Czzz5j4cKFJCYmUr9+fX744Ye84g0AWVlZjB49mnXr1pGZmUmrVq2YN29evkIJCQkJDB8+nG3btgHw+uuvM3fuXOzt7fPahIeHM2TIEPbv34+lpSW9evXi66+/xtz88T7xlyScEEKIImUwwLkN8NtnKMmR3NzpisbGEo9pX2FWv9P/mikGfrzyI7NCZpGZm4mtqS3jG4yng3eH//zdG3I7ka+2X+RUeBIAbnbmjGpbgTdrl0CjljPfhBDGl56TzuiDo/nz7p+oUDG67mj8K/sDoOTqUO0aCyeXAZBT6i1Mus9GZWm8CsxbT99lzKaz6HINVHS3ZUkfH0o4WBktvhBCCAHPURLuZSNJOCGEEEUl45flpKyZg1vFG/cXg2hLkuMzEpNGvVGp/3caRERKBJ8e+ZSTMScBqO9eny8bf4m7tfu/xo1IyGDarstsP3v/OAZLUw3vNStDYFNvrMxkVYgQomjlGnKZemwqG65uAOCdSu8w2mc0GrUGFAWOLUS/bTxhe5wwdbCh+PKfMClRxmj9nwpPZOCqEO6lZeNsY8ZCfx/qeDkYLb4QQgghSbgiIkk4IYQQRhd/g9yfx3P9m1AUvZrizTKx8/8A6g8GU4u8ZgbFwLpL65h9ejaZuZlYmljyQe0P6FmxJ2rVg0e2Jmfm8MPv11lx+BY6vQGVCrrV8WRk2/K42lk80F4IIYqKoiisuLCCb0O+BaC5Z3OmN5mOlen9VWkZ2xYSMWEWalM93m9bYjJgI7hUeFjIArmblMmAlSe5FJWCmUbN9Leq8UatEo9+ohBCCPEYJAlXRCQJJ4QQwliUlFhUR76D44vAkEPceVtybSvj8tlcTEqWz9f2VvItPj3yKadjTwNQz70ekxtOxtPW84G4OXoDa4Nv8/2+ayRm5ADQuKwz41+rRGUP+d0lhHh2dt3axYQ/J6Az6CjnUI45LedQ3KY4ANnHdqP8OhILTQSYa+Ht5VC2ldH6Ts/O5cMfQ9lzMQaAIc3LMKptBdSyHV8IIcQTkiRcEZEknBBCiCel5GSTOO0D7m0+QKmWsZjZ6qFsG2j7BbhWytc2x5DDygsrWXBmAdn6bKxMrBjpM5K3yr/1wOo3RVHYezGGaTsvc/NeOgBlXW2Y8Folmldw+c+z4oQQ4mkKjQ1lxO8jiM+Kx8HcgW+bf4uPu8/9m+n3IOgdiAgmPdaC7BJv4Tj+B6P1bTAofLP3Cj/8fgOAtpXdmCUFG4QQQjwhScIVEUnCCSGEKDRFgSs7Ye9EwjclkB5tgWNNM9y+/AbKtn6geWhsKJ8d/YzrSfer+/kW82Vyw8l42Hg80Pb83WS+3H6R4JsJADhZm/Fhm/L0qOuJiebBrapCCPEsRadHM3z/cC4lXMJEZcL4BuN5u/zb92/mZpOz9j1ufnMEg05NsZ41sP9kDWiMlyjbcvoOY386h05voFIxO5b08aG4vaXR4gshhHi1SBKuiEgSTgghRGFk/fkzZlcWor5zGIBsnQsZ9h2w/2A6KvP857Ol6lL5/tT3bLiyAQUFe3N7xtQdQ8fSHR9YzRaVnMnM3VfYcvouigJmJmoGNPZmcPMy2FqYPrX5CSFEQWXmZvLp4U/ZdWsXAD0r9mR03dGYqk1RDAbiPwkg7eBhSra4h7pCS3h7BVhojdZ/yO1EBq0+yb00Hc425iz0ryMFG4QQQhSKJOGKiCThhBBCFEhKFLFj+hJ/4BauNVJxqpoDvu9D4w/BIv/vEUVR2HN7DzOOzyA2MxaA18u8ziifUThY5P/DMC07l4UHb7D4z5tk5RgA6FLTg9HtKspqDiHEC0NRFBafW8yc03MAqONWh6+bfY2zpfP9++e2oto2GHIywLkC+o6L0ZSqYbT+7yRmMGDlSS5Hp2JmomZG1+p0qVXcaPGFEEK8GiQJV0QkCSeEEOKx6NLhyBw4/D1JVxWijjlgX9eNYnNWgX3JB5rfTL7J1GNTCY4KBqCkbUk+9f2U+sXq52unNyhsOBnBN3uuci8tG4B6pRyZ0KESNTzti3xaQghRFPaH72f8ofGk56TjbOnM182+po5bnfs3I0NhfU+SQpOIPaulxJdjserU12h9p2fnMuLHUPb+f8GG91uUYWQbKdgghBDi8UkSrohIEk4IIcTDKLm5JP8wAbM7P2NlHXX/Wol6ZJcZhEWLtx5on5GTwaKzi1h5cSW5hlzM1Gb0q9aP/lX7Y2GSf5vqwatxTNl+iSsxqQCUcrLi4/YV8aviLkUXhBAvvLDkMD468BHXk66jUWn4qM5H+Ff2R6VSoSTd5fab7cmMzMG5Wjou46dArXeN1rfBoDBzzxXmH7hfsMGvihvfdpOCDUIIIR6PJOGKiCThhBBC/KewP7n35YfEHU7H3D4H724WqPy+gMpd4B9JMkVR2Ht7LzNPziQ6PRqApiWa8nHdj/G088zX9kp0Kl/tuMQfV+MA0FqaMrxVOfwbeGFmIkUXhBAvj4ycDD47+hk7wnYA0NarLZ83+hxrU2sMyfEkfdYLB9vg+z9SG30ArSaD2ng/BzefusPHm+4XbKj8/wUbPGSLvxBCiEeQJFwRkSScEEKIf1LuXUf12yS4/Cu52Wpu7XHF4bWGOI6bjcrK9oH2l+IvMf3EdEJiQgAoblOcj+t9THPP5vnaxaZmMWvvVX48EYFBAVONit6+pRjWsiz2VmZPY2pCCPHUKYrC+svrmXlyJrmGXErZlWJms5lUdKwIBgMcmAJ/zERRICHeB4cv1qN2cDVa/yG3Exi0OiSvYMOi3nWoXVIKNgghhPhvkoQrIpKEE0II8Rd91C3iJr0PUedxr5MEKg349EVpPBqV1v2B9vcy7zH71Gy2Xt+KgoKFxoK+VfvSr2q/fFtPM3V6lh66yfwDN0jX6QFoX9Wdse0qUsrZ+mlNTwghnqnQ2FBGHhxJbEYsZmozRvqMpGfFnve335/dQOxno4m/YIWluwleW7ajcnjwvM3C+mfBhplvVadzTSnYIIQQ4t9JEq6ISBJOCCEEuTo4sYSMjTO5vcMCVApl3q+IWffp4FLhgebZ+mxWX1zN4rOLycjNAOA179f4sM6HuFv/L1lnMChsDb3LzN1XiErOAqCGpz2fdKhE3VKOT2duQgjxHEnMSmTi4YkcvHMQgBaeLfii0RdozbVk7F7HnbGf41YzCW1VO+ixHkrUMVrf6dm5fBAUym+XpGCDEEKIh5MkXBGRJJwQQry6FIOB3ENrMQ39FhJuAhB7vTRWXQZg89b7D7TXG/T8evNX5obOzTv3rZpzNcbUHUNN15r52gbfjOer7Zc4dzcZgOL2loxpV4FO1T3kDz4hxCtNURTWXV7HNye/IceQg7u1O9OaTKOOWx30dy+h+bkfxF4EEwsMHWajrtXdaH0bDAozdl9hwcH/FWyY1b0mVmZSsEEIIcT/SBKuiEgSTgghXk05534n8qOPyI5Np0zHWDT2LtDyk/vV+dSafG0VReFw5GG+DfmWa4nXAHCzcuOD2h/QoXQH1Kr/HSJ+My6NqTsvs/fi/ZUWNuYmDGlRhn6NvLEwzR9XCCFeZRfjLzLmjzHcTrmNWqWmf9X+DK4xGNPcLPipP4ZLe7i9zwmbxvVwnr4WlRELNmwKucO4zVKwQQghxL+TJFwRkSScEEK8YlIiYd8XKKfWc3OXCzkZGkoMbolN4HQwf7DowoV7F5gVMotj0ccAsDW1ZUD1AfSq2CvfuW+J6Tq+33eNNcG3yTUoaNQqetbzZETr8jjbmD+16QkhxIskPSedKcemsO3GNgAqOVZiSuMplNV6kzwlgMg1J9GY6yk9oh4m7y4GU+MlykJuJzBwVQjx6TpcbM1Z5F+HWlKwQQghBJKEKzKShBNCiFeDITGO5LljsGcnKn0mAJkO7TFpNxrTCg+eOXQt8Ro/hP7AvvB9AJiqTelVsReB1QPRmmvz2mXn6ll55BZz9l8nNSsXgJYVXRn/WkXKuj6Y1BNCCPGg3bd280XwFyRnJ2OmNmN47eH4V/Yn+ZtRmN9eh5VTJhT3gR7rwNbNaP1KwQYhhBD/RpJwRUSScEII8ZIz6FFC1nBjyFRyUlWUaJyAbcNa4PcVFH8w+XYr+RbzzsxjV9guFBRUqOhYuiPv13qf4jb/+8NMURR2nItm2q5LRCTcT+pVKmbHJx0q0ais81ObnhBCvCziMuKYdGQSf979EwAfNx++bPwlxeNuwI/+kJVElq44dJiBRaOORus3LTuXEUGn+e1SLADDWpblw9bl5fxOIYR4hUkSrohIEk4IIV5iNw/CngkQfY7Ys7ak3LHF/YN+2PQaBar8f1xFpEaw+Oxitt3Yhl7RA9DGqw3v13yfMvZl8rU9FZ7IV9svEXI7EQBXW3NG+VWga+0SaOSPNiGEKDRFUfjp2k/MPDGTzNxMLE0s+aD2B/R0qYd+STdu/ZiOPkdNyc+HYvXmUKP1qzcozNh9mYUH7xfpaV/VnW+61ZCCDUII8YqSJFwRkSScEEK8fLJP/U7cF+NwLXMVMxs9mGsxNBgB9QNRW+XfIno75TaLzi5i+83tecm3piWaMrTmUCo5VcrXNiIhg+m7LvPr2SgALE01DGpWmv9r787j4ygP+49/Znf2lrTSanXaku8D3wZjfEEMBgwECKEJkDQQmgOStlBCaBJ+uUiahJKDkobSAqVJm0JIm4YcJBwO4TI2trExGONLvmRb9y3tvTPz+2OltWUbY2MLX9/367WvnZ155tkZwePZ/e4zz3PTeaP1RU1E5Bja1bOLr73yNda0rAFgRtkMvj3uZly33Eq2o4eRF7bj/uBdMO/WA35UORr/+9ou/t8T68hYDpOrcxM2VIU1YYOIyOlGIdwQUQgnInIKiXfAi/dQ//3/Jdboo6g2ybDbPgIf+AqESgcV3da9jYfffJg/bv8jtmMDML96Pp+b/jlmlM8YVLY7keGB5+v46Ss7SFs2hgEfOXM4dyyeQEWRHxEROfZsx+Z/N/0v966+l3g2jsfl4W/O+DSf2LQO35Zf5ArN+ATOB+/F8By7CXBW7ejg5p+vpqN/woaHb5jFjJriY1a/iIic+BTCDRGFcCIiJz8nEYNV/46x7EeQ7CbZZdK6bSzl37gb36wLBpVd376e/1j3HyzZuQSH3OXvA8M/wM3TbmZq2dRBZTOWzWMr6rnvT5vpjGcAmD+2lP932RlMrg4jIiJDr7GvkW+/+m2W7lkKwITi8fw4NIlhr9xP7y4vHfXVDPvp/2EOG33M3nNXR27Chk3NvfhMFz/46HSunF59zOoXEZETm0K4IaIQTkTkJOY49D36A5r++aeUjOqm9IwYVEzJTboweuE+xRxWNK3gkXWP8Grjq/n1F9RcwE3Tb2Jy6eT9qnX404YW7n5qA9taYwCMLS/g/102kfMnlGMcw1ufRETk3TmOw5PbnuSeVffQneoG4CuhGcz+7kqyCRfRWS7K/unXUDbhmL1nXyrL3/3idZ7bmJuw4dYLxnKbJmwQETktKIQbIgrhREROUnvWwDNfpeuF12lcWYI37DD6X+7EOPMT4HIDkLWz/Ln+z/zHW//B+vb1ALgNN5eOupS/mvJXjC8Zf0C1b+3p5rt/2MDybe0AlIa83HbReD52dg2m2/X+nZ+IiBygI9nBva/dy2+3/haAC1s9fOGlPmpmNGMEwvDRn8LYRcfs/Szb4ftPb+TBlzRhg4jI6UQh3BBRCCcicnLJbH4d608/wt/yewAcd4DO9EUU3/4jXCXlAPSl+3ii7gke3fAoe/r2AOB3+7l63NXcMPkGhhUMO6Depu4kP3hmE79+fTeOA17TxacXjOKvF46h0O95/05QRETe1erm1Xzn1e9Q11VHiWXxcEeCCX0dOLiJj/wbQjf+wzF9v30nbJgyrIiHb9CEDSIipzKFcENEIZyIyEki1Ufvv/09ex56Hm9RhlEXt2FMvw4WfR3CwwFo6Gvg0Q2P8ustv6Yv0wdAsa+Y6yZex8cmfoyIP3JAtbFUlgdf3MpDL28jmclN0PChGdX8/eIJDC8Jvn/nJyIiRyRjZ3hsw2P8y9p/IZuJc1dbB/Nfg5a1YSLnjaLiX38H7mPXY23fCRvKC308pAkbREROWQrhhohCOBGRE5xtwdrH4M//QLatla1/KMdXEWD4j+/DnLwQ27F5tfFV/mfT//DCrhewHAuAUeFR3DDpBi4ffTl+88AZTC3b4X9f28WPlmymtTcFwNkjS/jqByfpS5WIyEmkKdbEva/dy1Pb/8h3Xkgw/lUvFTO7Kb70bFzX/Bf4j91EOpqwQUTk9KAQbogohBMROXHFfv1vJJ58iGjt1tyKklGkp/4dnoWfpDvdw2+3/pb/2fQ/1PfW5/eZUzWHGybdwPxh83EZBx/D7aXNrXzvjxvY2NQLwIjSIHdeOpHFkys16YKIyEnq9ZbXuWflPUx+7TVup40QDn3h4YRu+D1G6bGbObU3meHvHl/LnwcmbFg0jtsWjdOEDSIipxCFcENEIZyIyAmodTOpR/+ebf+2GQyHUVck8H/4Szhnf4Z1nZv45aZf8syOZ0hZuR5sBZ4CrhxzJddMuIYxxWPesdrNzb189w8beHFzKwDhgIdbF43j+jkj8JqadEFE5GRnOzZPbnuSPyz9Ht+u30x5xmLnqxESN97IGR//5jF7H8t2uOfpjTzUP2HDB6dW8cOPTifgdR+z9xARkeNHIdwQUQgnInLicHpaMJb+AFY9Ao7FnuUR3LVnEPr6D3k2uYFfbvolGzo25MtPjEzk2gnXctmoywh63nn8ttbeFP/0p808vrIe2wGP2+CGuSO55YKxFAe978epiYjI+yieifPLVfcx5/5/gzUhXF6LVbfVcvZV/8KEyIRj9j7/s2oXX/1NbsKGqcPCPHzDLCrDBw6BICIiJxeFcENEIZyIyPHnJProuPvv6HpmKSMvbMbtcXAmXMrWWZ/kfzvW8vutv6c3k7t11OvycsmoS7hmwjVMi0475O2jyYzFI0u388DzdcTSubHiLplcyVcuncjIaOh9OTcRETl+Wpo30/bZv6CmspnC6hT/ES6i7qy/5PMz/oaaoppj8h4rtrXzuf9eTWc8Q3mhj3//5CymDS8+JnWLiMjxoRBuiCiEExE5jhwH3v4tzjPfYOtjCTJ9JtHzAqz52KU82LuBLZ1b8kVrCmu4Zvw1XDX2Kor9xYes1rYdfvvGHn7w9CYaupMATB8e5qsfnMTsUQfOkCoiIqcw26brmS9TvOIhAF60Q3xzeCnnTr6Km6bdRE3h0Ydx9e1xPv2fq9jS0ofPdPGja6Zz+TRN2CAicrJSCDdEFMKJiBwfqaW/xbvxXzB2rwCgo72U5YEqvnFGL2lX7rLkcXk4v+Z8rh53NXOr577jRAv7WrGtne/+cQNv7u4GYFhxgC9dMoErplVr0GwRkdPZm/9D5n/+lvpnwqRNh69f66Eu4uPKMVdy07SbGF44/Kiq701muPUXr/P8pty4o3+3aBy3XThOE/6IiJyEhjIrOuKRqF966SWuuOIKqqurMQyD3/zmN4O2O47DXXfdRXV1NYFAgIULF7J+/fpBZVKpFLfccgvRaJRQKMSVV17J7t27B5Xp7Ozk+uuvJxwOEw6Huf766+nq6hpUpr6+niuuuIJQKEQ0GuXWW28lnU4f6SmJiMj7pWsXjZ9YyLbPfIW+V98g4zJ5pLSMS84M8JXJPaRdDtPKpvH1OV/n+Wue50cLf3TImU4HbG+LcfPPX+Pah17lzd3dFPhMvnTJBJ774gf40IxhCuBERE53067BuvABrIwbM2XwUFsnZyTjPFH3BFc8cQXfeOUbbO/e/p6rL/R7+PdPns1nFowC4MfPbeFvf/E6if7hEEREROA9hHCxWIzp06dz//33H3T797//fe69917uv/9+Vq1aRWVlJRdddBG9vb35MrfddhtPPPEEjz/+OEuXLqWvr4/LL78cy9p7kfr4xz/O2rVrefrpp3n66adZu3Yt119/fX67ZVl88IMfJBaLsXTpUh5//HH+7//+jy9+8YtHekoiIjLU4h3w3D9g/+Qs3LE6AN6IBblkWDn3FQUoKqjis1M/y++u+h2PXvYo10y4hrAv/K7VtvQm+dbv13PRvS/yzPpm3C6DT8yp5YW/X8hfLxyL36OZ6kREJMe/8COM+sXPqflwCREzwaPNndziGUbWyfJE3RN86Dcf4vYXbmd9+/p3r+wg3C6Dr10+iXv+Yioet8Ef3mzk2oeW09Q/NIKIiMhR3Y5qGAZPPPEEV111FZDrBVddXc1tt93Gl7/8ZSDX662iooJ77rmHm2++me7ubsrKyvj5z3/OtddeC0BDQwM1NTX88Y9/ZPHixWzYsIFJkybx6quvcs455wDw6quvMnfuXDZu3MiECRN46qmnuPzyy9m1axfV1bkxFx5//HFuvPFGWlpaDqvLoG5HFREZItk07F5Jx7//G10vv0HZxGYKq1IArHL5edQoZtnoMBfWXsgVY65gduVs3K53D8ySGYuV2ztYWtfGy1va2NDYk992wcRy7rx0IuMqCofstERE5BSQ6oVffRq2PEOsxUuLdw73frCWFxpeyheZWzWXT0/9NLMrZ7+nW0r3nbChosjHwzdowgYRkZPFUGZF5rGsbPv27TQ1NXHxxRfn1/l8Pj7wgQ+wbNkybr75ZlavXk0mkxlUprq6milTprBs2TIWL17M8uXLCYfD+QAOYM6cOYTDYZYtW8aECRNYvnw5U6ZMyQdwAIsXLyaVSrF69WrOP//8A44vlUqRSqXyr3t6eg4oIyIiR86xbdKvPUfixd9RXN2EveNlXJkEqTVhUs0h4mEfe0bYPFhSQnzM+Vwy6lK+O/JiQp5Dz1Jq2w7rG3p4ua6VV+raWLWjk3TWHlRmZm0xX7xoAgvGRYfyFEVE5FThK4SP/YLsb77Mnrt+j5Wu41umRceXHuORTY/x1PanWN64nOWNy5kYmcj1k67n0pGX4nF7Dvstzhldym//ZkF+woZrHlzODz86nQ9OrdI4cSIip7FjGsI1NTUBUFFRMWh9RUUFO3fuzJfxer2UlJQcUGZg/6amJsrLyw+ov7y8fFCZ/d+npKQEr9ebL7O/u+++m29961vv4cxERGR/TlcjRv1S2Ppn7A0vsO3nDjgGoSub8ARt2l0u1k+22TU6y445c5k2+1q+UXsBJf6SQ9a7uzPO0i1tvFzXxrK6NjrjmUHbq8J+FoyNsmBclPljo0QLfEN5miIicipyuTGv/iFl2yy6f/s7iv2vEHl4MXePmMcXYgt4NpDgx661bOzYyFeXfpV/Wv1PXDfhOq6ZcM27XscG1JYG+fVfz+OWX7zOC5ta+dvHXufu4o0sGBtl3thS5o2JUlaoa5iIyOnkmIZwA/b/dcdxnHf9xWf/Mgcr/17K7OvOO+/k9ttvz7/u6emhpubopyUXETktZBJQv5y+J39By/8uxxfsY9i8TgDcgL+slF7TxSOBMH8eFqC4dj4Xj7qEq2oXHfILS3ciw/Kt7Syta+WVuna2t8UGbS/wmcwZXcq543LB2+hoSL0IRETkmCi5458o/vCHMH7zeehtgLol9DxZzll9Js9dlKFlxnB+bXXyp0wT96+9n4fXPcxloy7j2onXMrl08rvWX+j38Mgnz+b7T2/kP17Zzp6uBL98bRe/fG0XABMrC5k/Nsr8saXMHlVKgW9Ivp6JiMgJ4pj+K19ZWQnkeqlVVVXl17e0tOR7rVVWVpJOp+ns7BzUG66lpYV58+blyzQ3Nx9Qf2tr66B6VqxYMWh7Z2cnmUzmgB5yA3w+Hz6ffm0SETkstk1y+R+JPfUrCkqa8MXXgJXC1eol1RYl6/OyweNhedDP8kCAN/7Kx7Rhc1g8cjH/VruIiD9y0Gozls3r9V0s3dLKy3VtvLGrC3uf0UndLoOZNcXMHxvl3HFRptcU43Ef8TxCIiIih8UYsxC+sB5a1mNvWIJ31WNYqV5CRW2M3dXKl4DPbAnSuqWQXZN7+f3Zj3LTpv9jRMV0rp1wLYtHLsZv+t+xfrfL4M7LzuDWReNYuaODZXVtLK1rZ0NjDxubetnY1MsjS7djugxm9F//5o+NMqOmGK+p65+IyKnkmIZwo0aNorKykiVLljBz5kwA0uk0L774Ivfccw8AZ511Fh6PhyVLlnDNNdcA0NjYyFtvvcX3v/99AObOnUt3dzcrV65k9uzZAKxYsYLu7u58UDd37ly++93v0tjYmA/8nn32WXw+H2edddaxPC0RkdNGdsd6zM7XYevzsO0F2p616N0dwJnag29yimbTZNkID02LM/xhrIeWyGjmVc/jgzULuWf4eQcN3hzHoa6lj5e3tPFKXRuvbmsnlrYGlRldFuLcsVEWjCtjzugIhf7DH3dHRETkqLlcUDkVV+VUas+/HScZw2h6Hba9ANteIL50K3aPmxl9GS5s6cQC1je20PjoCv5pXAjf4uu4atJ1jC4e/Y5vEfKZnD+hnPMn5Ibdae9LsWxrO8u2trG0ro1dHQle29nJazs7+fFzWwh63cweFcndvjomysTKQlwu9QQXETmZHfHsqH19fdTV1QEwc+ZM7r33Xs4//3wikQi1tbXcc8893H333fz0pz9l3LhxfO973+OFF15g06ZNFBbmZqz7/Oc/z5NPPsnPfvYzIpEId9xxB+3t7axevRq3Ozc73qWXXkpDQwMPPvggADfddBMjRozg97//PQCWZTFjxgwqKir4wQ9+QEdHBzfeeCNXXXUVP/nJTw7rXDQ7qoic9lJ9sGMp1vpn2fGDZ0h3WYy/ugm3J3dpaN0RYs/uAGsnO/x6ipftHpOKUCULaxaysGYhZ1eejc99YA/j1t4Ur/TPYPpKXRtNPclB2yMhb66n29go88dFGVYceF9OV0RE5L2wWnYRf+oxfMZOvD2roG0z8VYvO5+L4vZZDP9wC68HfNRHR1FZcwWzz7uFkP/Ivl/Ut8d5ZWvuurlsazsdsfSg7aUhL3PHlLKgv6dcTSR4LE9RRET6DWVWdMQh3AsvvHDQmUc/+clP8rOf/QzHcfjWt77Fgw8+SGdnJ+eccw7/8i//wpQpU/Jlk8kkf//3f89jjz1GIpFg0aJFPPDAA4PGZ+vo6ODWW2/ld7/7HQBXXnkl999/P8XFxfky9fX1/PVf/zV//vOfCQQCfPzjH+eHP/zhYd9yqhBORE47tkX6tWfo+dWjuGI7iFRsBDsLQN2T5WRibuzFfSwdabDc7+cNv4+sYTCpdFIueBu+kImRiQeMyZZIW6zY3p4P3jY29Q7a7jNd+V/zF4yLckZlkX7NFxGRk1f3HpLP/5L2x38DqUaGTW/Jb9r+bJRUzCRzeZDCRVdRO+MGXJFRR1S9bTtsbOrllbo2XtnaxoptHSQyg3uR10aCzB9byvz+nnKRkPdYnJmIyGnvhArhTiUK4UTkdJBetwx3++u4m1+F7S/SW5di99IInoIsYy9vodHr52WfyebeAC+We2kKuSn0FDKneg5zq+dy3rDzqAgNHmvTsh3WN3Tz8pY2lm5pY/XOTtKWPajM5OoiFoyLcu7YMmaNLMHvcb+fpy0iIvL+cBxo3Ujfxidpf/P/SDzYiZNxMbZ/tnCA5vZSkl01RC+9nNBVn4bgwcdNfSfprM3aXV0s7Z85/PVdXVj24K9xk6qK8qHc7FERgl5N8iAi8l4ohBsiCuFE5JSU6ILtL8G259nzb8/SU2dTOauLkrFxAHptL1tWFvH2CHhsloddXg9uw820smnMrZ7LvOp5TC6djOka/OF9V0ecpXW50O2VrW10xTODtg8rDuR7us0bU0ppgSbCERGR04+diLHpD/9MY/x5Io1vMjmRoG1lmK5tISIT+iif2Uu2YhLmmEXE+6oJXHQdrsJ3nkX8YPpSWVZub2fpltyYcvv3QPe4DWbWlvTfulrKtOGa5EhE5HAphBsiCuFE5JRgZbDrltL+bw8QX7+Z2rn1GEbul/e29QW0vlVIZmqSl+bZLAv4edvnxTIMagprmFc9j7nVc5ldOZtCb+GgarsTGZZvzd1eurSujZ3t8UHbC30mc8aUcu64KAvGRhkVDR1wm6qIiMjpLJlN8vK2p2h94gGqV22jeliM8SUJAFI9Jtv+WI7LazP+tnEY486H0Quhaga4jqz3eGtvimX948m9UtfOnq7EoO0FPpNzRkXyM6+OryjQNVtE5B0ohBsiCuFE5GTk2DbpNS9gb3yRgGsj7FiKk+xjy28qsdIuRlzYSlMVLAv4WGMEWB3w0hFwUxYoY1blLGZVzGJu1VxqimoG1ZvO2rxe38nS/nHd3tzdxb53upgug5m1xSwYW8aCcVGmDw9j6ld1ERGRw9KeaOfpHU+zcsvvCexayQV1GUa8GCBQmKX2/PZ8uT0ry3F8UaJ/eQX+86+FyGg4gsDMcRx27jfJw/6916MFvtytq2M0QZKIyP4Uwg0RhXAictKItcG2F2Dr83Q982can4dAaZqRF7UB0OFy8fa2IrYEPTwxycP2QpOKYAVnV57NrIpZzKqcRW1h7aBfvR3HYUtLX/+4bq2s2N5BPD140OcxZSHOHVfGgrFR5owppcCn8WVERESOVmu8lefqn2PJ9mfo3fYq0+0EcxJJzu5L0vB/FTiWi1GXtOAvzkK4hlTwLJLOCEKXfQKzdvwRvZdtO7zd2MMrdbme7at2dJDMDB7HdWRpMN9Lbu7oUko0yYOInMYUwg0RhXAicsLKJKF+OR3/8RBdL60jOr6VoppkblPMxdY/VJCuzPCnK7IsD/nZ5PVQVTAs39NtVuUshhcMP+BWk5aeJK/032L6Sl0bzT2pQdujBV7mj43mx3arCuuXcRERkaHUnmjPBXI7l/B6wwoW7khy7g6Lqgm9zEyn8TgOLW8U0r6hkPDIONUfGp67bXX0QuyKM3EVlR7R+6WyFmt2drFsay6Ue3N396BJHgwDplSHmTe2lAVjo8waESHg1eRKInL6UAg3RBTCiciJwrFtUsv+QOzPv8U/bBf+htW4rQzNa4ro2FxA8egY3QviLA/4We7387Y3SG3lFKaXTWd6+XRmlM2gMlR5QL3xdJYV2ztY2j+L6abmwQM3+0wXs0dF+sd1K2NiZSEul8aIEREROR46k508v+t5nt35LCsaVuCx0sxMpvjQaxajNphUj+8lPDI33ls26aLudxUEhgeo/cq1GOMugOozwX1kvdZ7khlWbOvoH0+ujS0tfYO2e90uzhpRkp95deowDUchIqc2hXBDRCGciBxP2bbtdG7+PektT1O0cy17Hi/CsQ1GX9aMr8ii2e3m9XiQnTE/S6eUEx13Tj50m1Q6CZ/7wNlHLdvhrT3d/eO6tbJmZxdpa+8tJwO/bi/on0zhrBEl+D36dVtERORE05Pu4dWGV3l5z8ss3bOUtkQbkWyWs5Mp5iSSnLPFRd+LhfhK0oxenBueAl8RHU0ToGw8hX9xA56J5xzReHIAzT3J/kke2nmlro3G7uSg7QMTM80fU8qCcVHGlGmSBxE5tSiEGyIK4UTk/WLZFvXtG2nf+Fvcf36a4FNNBIMZas7ryJfZ8XKELsPFqgUG26ZOpXj4OUwtm8b08ulUh6rf8QNufXucl+taWbolN/hyd2Lw4MvDigO5nm7joswbEyWicV5EREROKrZjs6ljEy/veZmXd7/Mm21vYltZprdbzOlMMakkwznJFMFMmi2/rcBKuqk9v43Q2CiMXki2bDbOsNl4Rk0+ovd1HIdtbTGW9c+6umxrGz3J7KAy5YU+FoyNMm9slPljSzWUhYic9BTCDRGFcCIyFHrTvWzq2MTm9g3Yy5+mevk6iiPtTA314QGSnSbbnynH5bHJXtdJXbSG3prZFI1exKSKGYwKj8LteufeaV3xNMu3tvNyXe4W0/qO+KDthX6TeWNK+8d1K2NkaVC/UIuIiJxCupJdLGtYxst7XuaVPa/QmerE5ThMjqe5dqXF6F0G4+e343PlesO3bwzRsjZM8VQvVZ+6NDem3Mj54Cs8ove1bIf1Dbke98vq2lm5o4N0dvAkD6PLQrlQbkxukodw0HOsTltE5H2hEG6IKIQTkaORsTPU99SztWsrW7q2sKljE9kta6hI72FuIsE5yRR9rxTRszNI6Rm9lE/vpcUbYHfZWJyeMRR+8JOMHn8epuvQY7cMDKC8tL+327o93ewzfjKmy+DM2pLcLabjokzTWC0iIiKnDcu22NixkZVNK1nZtJI1zWuIZ+P4bJsZqTRzEknmv2jCRh8VM3uITIgBYNsmu5bVEJw2gehf/y3GqDngPrLALJmxWLOzk6V1bbyytZ11u7sGfUZxGTB1WDg/86qGwRCRk4FCuCGiEE5EDse+YdvWrq3UddWxrXsbO3p2EMikOTuZZF5vkum/CuL0moy7qgnT3//L855COpvKCFw4l6pP3I4rMuZdx2ZxHIfNzX28vKWVpXVtrNjWQSJjDSozrryA+WOjnDsuyjmjSynwHdkgzCIiInJqytgZNrRvYGXTSlY1reL1ltdJZBNU9WWZmU5zpp1kXjJNSb3BrhdLMYNZxl7RguErgBHziaXH4p54Hr5zLsZwHdmPet2JDK9uy40lt7SujW2tsUHbfaaLWSNLcqHcmChThoVxa0IoETnBKIQbIgrhRGRfsUyMHd072N6zPffcvT0ftmXt3PgnpuNwbnOKS9+0GW5nOGNCNwPx17any0h1m1T/RZTwhVfAmPMPe5ay5p5kbgbT/g+trb2pQdujBT4WjC1lwbgyFoyNUhn2H+vTFxERkVNQxsrwVvtbrGpaxcqmlbzR8gZJK8n4rixXbMwwJp1h8ogeInbuB8RtT5WR6vYwbJFF0QUfgNELcUZ9AKN4+BG/d2N3IjeWXP/nm5b9Pt8U+U3m9g+hMW9slNHRkIbQEJHjTiHcEFEIJ3L6ydpZGvoa2NGzgx3dO3LP/cutidYDd7Btzm6xmO6yme+BKb0dWHsM6l+IYvotxn6oGSM6DsacT8ozCXPmYtzR6nc9jlgqy8rtHby8pY2lda1sbu4btN3vcTF7VCnnjs3dYjqxslAfSkVEROSoZewMWzq38EbrG7lHyxvs6d3F+HSGubEkFz5p4ms2GXtFM6Yv91Wxa1uAts0RSs6bSOlffQpGLoBA8RG9r+M4bG3tY+mW3K2rr25tpzc1eJKHqrCfeWOiLBhXyvwxUcqL9KOjiLz/FMINEYVwIqemeCbOnr497Ordxa7eXezu3c2uvl3s6d3D7r7d+V5tB1PlDjM1WMEcvEzv6SDwqx301bkon9FN6cT+MVQ8ERrfGEbonHMIf/IWjOjIQx6P4zh0xTP52cVermvj9fpOMtbef36N/jFTFvSHbmeNKMFnaswUERERGXptiTbebH0zH8xtbXqTscle5iSTzEkkKX0+SG99kOjkXsqm9mJj0B0ZTd/W4ZRccAWhS/4Swxc8ovfMWjbr9nTzSv/Mq6t3dpK2Bk/yMDD8xvyxUc4ZHaHIr0keRGToKYQbIgrhRE5OjuPQnmzPhWsDIdtA4Na3m7ZE20H3czsOUctiSofB2e1BygqDlNUEqcxmKYr30vAf3WTjMO6q5r1jum0K0fpGEZHZJZR/+qMw5gKonAb9Y6Q4jkNPMktjd4LGriQN3QmaupM0dCVz67pzz8mMfcDxDC8JcO64KAvGljFvTCklIe/Q/dFEREREDlPGzrC5czPr29bzdvvbNO18nTNWb6QmEGemP86oTJZEh4cdz5bhMm1GfKSVhmgtvTWz8JUvYNiMqyg8wp5yibTFazs78jOvvtXQzb7fVN0ug2nDw8wfkwvlzhxRrB8sRWRIKIQbIgrhRE5Mlm3RmmilKdZEY6wx9+hrpCnWxJ7YHnb37iaRTQzax2XbjOyxqchaBAMWIzEZg49RT1t4u22qFiUocLoxHJv2DSFa3ghTNCLOsLld+To2/6YCK+lm5CWdBCaMgdEL6YvOpiE8k0Y7QGNXgobuJI1dCZp6kjR05UK2eNricEQLfMwakZvF9NxxUWojQd1iKiIiIieFjJWhrquODR0b2L37VSKvLWXCCy1EyTDq7K58uZ3PlZLo8dC1KENiQhRvUTUFdgVFPYVEJ8ykcNo5EIqCP3zIyaq64mmWb23PhXJb29neNniSB7/HxawREUaUBikNeSkt8BEJeQctlwQ9mjFeRI6YQrghohBO5PiIZWI09jXmA7amWBMNsYZ80NYSbyHr7HPLqONQYttUZi0qslnmvgHl3eCe4TDMY1CWSZNd69C2tvCdg7WLWwlEMuAy6e2opH2dh8CEMrwXn0WHWUYjpbQ0ZKhzV/KWU0ZTb4rGruQBY5W8k5Kgh8pwgOqwn6piP1XhAFXh3HN1sZ+KIj9+j36tFRERkVNH1s6yvWsbu7YtgW0vEN39Fr6f2dhpF2M+2Iy3MPdDZefWIE2riimoTlJzXgcAluFm55+j2JZJ5ZXDKBgzEkJRUr0e4jv78I0aTXD2ORAqhVAZe+JuXtnanr99ta0vdYgjyzEMKA54cuFcga8/oPMSCe277KU05KO0wEtJ0KvZWkVkSLOid5+yT0TkMFm2RXuyndZ4K83xZlrjrbQkWmiJt+TXNceb6U337t3JcSiyHaY1Z5nUaTO+IkOZy6LKshmx1YvvNQ+hsjTDZ3fmd9myooJs0s3I8v5gDegO+MFwcIwgDB+HVVBFn68Sl6uHHneYp0ZNZ5NZzZY+Pw1FGRpLknQnMvDqwc6kfdCrIr9JdXGAyoFQLeynqnggZMutC3gVsImIiMjpxXSZjIuMZ1xkPMz6GwCcz8fp+NN/0+TdRl/XDlK9ezA6WvCWZUmVWPQaBoWOg9uxyHQa2GkHT+MaiK8EIL5PYBdc15F/r9TT5czMmFzxoWL8o6vpcRWzp8EmXtdHR6SCupFnsDsVYmcqyK5eD7vSXhwHOuMZOuMZtrbGDnoO+zIMKAnmgrlIyEt0v5CuNNTf264g1+OuWKGdiBwhhXAi8q4s26Ir1ZUP2FriLbQmcs8Dj9Z4K23JNmxn8NhnkYRFxLApt7NMsyzG77IZvcEkUGgTnZKiLJPCZ2fZ8psKskmTkRd37g3Wkn4aeiNk/f23EYTKITyMwjMd0k6AphlX0Vo2il1WhO3jQ9SdW0h9r0NjQ4LOeGbwSbwJEO9/7FXgM3NBWnEuXKsM+6kOB/p7s+UCtpBP/1SKiIiIHA4jEKT0ipso3W+94zi0JdpY17mFnZ2baW19G0rfwmhupDkaJuyyiFg2NSUG5cPTWFELw3QTsWyCjkMm5sLOgKtrM0bd24QBuz+wq6h+jYu9P8+/V90fyskm3Ay/wsSsjRD3ROhp9RDb1EdvRTm7J06mMVPI7kyItk6bTZkwezK50K4jlqYjlj68czUgMii08+0X4PnygV1EoZ2IoBBO5LRl2RadqU7aE+25R3Lvc1uibdC6zlTnAeEagM+2qbQsxnVYXLzTIWhamLUZahyDKssm9X9Bsj0mIy9u2xustfhp2BwhUJZi+Li9v0j6SsGddmMPm0Pf2NF0esppmRCgfarFtoJa3vDVsrvHprElQVt5/wejzf0PAGyge9DxBTxuqor7Q7X9eq9V9y8XapYtERERkSFnGAZlwTLKgmXMGzYvt/L83FM8E2dnz0529Oxga/cO/tS9nR09O9jRs4NENoHfthlzo011zCJdUkKxkQvsRpRDzbgMmagJBVHC2TShdBwr5cKxDDzpBnwtu/ADRl2QxGvFDKveyJzgb/LHVfdkOZk+k9pL4vhHhEn7S+lu9dPzVpx0VRltMyfTYhfRlA3R3Zxmh1XIOqeUlpQbx4H2WJr2wwztXP097fa/DXbf22X3DfCKAx5cCu1ETikK4UROESkrRVeyi65UF52pTrqSB3/OB2vJThzeeUhIf9ZmfKfNWeks3nBuLLYRjsmY5018rQblc3spKcyFaN07/TQsjxAosxlZsvdW0+2mnyyQzRRCeSV2UTVOVRhfYS/dlTU8OWkW2zMlbI4XUR91aOxO0tqVwlm138G0AHQOWuUzXblbRIv8e4O2fXqvVYcDFAVMTXwgIiIicoILeoKcUXoGZ5SeMWi94zi0J9vZ3bubXb278s/1fbt5pXcXbcVtMG1QTeCEifyNTU2fgxGMUml6GWGGGGe6qSCNuzRMa9VwQuk43lQvdib3WdF09eLu7iLQvZNkXRDrzWLC7TuZUrIkX3vd78vJxExGLGojUBPACpTS01pA59oU9vBS4nMn00ERzVYhsV19NNkh3vQPpy5dSHvCxn4Pod1Az7rSkI9IgZdoKBfQ7V3eG+CFFdqJnPAUwomcgDJWhu50N53Jzlyotv/zQcK1/WcLPRS3bVNh21RlLcYYfs5eZ1DWahOYalAaTBNO9pHdkmHPsgiBMouRi/aOkba9NUqyw4u724JCwBPCV1tJsMnAHF5D44xP0OqKsseO0FDjYrNTzuZ0gMauJC27ktgOEAR66B+PzQa6Bh2f1+3qH3/Nnx+Lrbo/XBuY9KAk6FHAJiIiInIKMwyDaCBKNBBlRvmMA7bHM3F29+1md2/uMTDpV0NfA/WxJjpTAz/ixqGG3IP+CR38AD64zWaMVcCwUA0jvAUMM3zUlKaIFPeQKfHQNS5IMB3Hk+jCcHeC4WD6LYxkN2ayG2NHkHRdMQWJFsZVLssf20Bg94ULWwlGMzglJfS0ldC+xsFdG8ZeOJEuo4gOJ0x8axdtdpANkdFssUrYEfPSmcyFdm19adr60kDfu/693C4j19Nu0KQTe2eLHehhN7Bc5FdoJ/J+UwgnMkSS2SQ96R56Uj30pHvoTffmXu+z7oDl/nJHEqjtyzRMIr4wI9xBZjbajGjLEBjuJ+qziaQTeLd00bskibcgw8gL2vL7bV+dC9aGFXRQNDwJQDzowXA7GN4AzshzSQar6PGUEy9I0ZEN8mrVRN52DWN7r0ljT4rmmUmytnOQiQ5S5D/sAKbLoKLIT3XxPqFa0cCYbLnXkaBXHwhERERE5JCCniDjS8YzvmT8QbfHM3GaYk25YC7WQGNfYz6oGxjnOEmSra44W9NxGOigVgSc3b+cBVzgKnARvWMY5b5San1hatwBqgwPlaP7KB7ZhlXkpXtcAYFUHE+yC3fBTmwri+nL3XliJDqxG1Kk9hRTwE5GbF+bP866P+QCu2v7AzsMF719pbSs9uEdEcJ/8Rh63cV0U0hqbSPJNOwaMZImTyGtKZPu7gx2V4J2bxG77XIa+nzUNfuwOPTEYW6XkQ/q9u1RVxz0EPS6CXrN/mc3gf7lgCf3OuQzCXjdBD1uTLfrqP47ipxOFMKJHETGzhBLx+jL9BHLxOhN9+aeM73E0v3PmRh96T56M725gG2/YC1tH14384OybUrSMNxVQFFhIRVmiKjLR+3ONCXdFt5RJRSUBCh0wNvcR/rZbXjMDFXnJDF614GdZfuz/cHagn2CtZiHrngZWcOF7fKQDlaQCFRiTzdwkl7ennwFzVXjaDWibEsXUTfJT0NviuYtSTLWfreudsH+v8i5XQYVhT6q9u+9ts/EB9ECnwI2ERERERlyQU+Q0cWjGV08+qDbHcehN9NLa7yV5nhzPpgb9Ei00J5ox3IsWhK512/tX9G4/uee3JPpMin5m3Ii/gilvmJqzAKqDS/DJ6WITu/EFfTQPLKQUDqGL9WLd8UmjM4UZnEh0AGOTaYzRrrTgy/UQln9Jsr632LLi+Vk4ybnXPQUgdL+MZcbAzS8WkKwPMWIC/bewbLt2TIyfSYlCy2sCj8xx0e82YX9Vop42MeeKRXEEz7iCT+RVV04adg2bDjbgyUk8GGnDQp64nR4i9hRWEXC8RHHR9zx4hh7Az6v25UL5Lzu/POgAM+zb5jnJuQ19yk3OOAL+cy99Sjgk1OQQjg5ZWTsDPFMnEQ2QTwTJ56N559jmVjuuT9Y68v00Zfuyy/vvz5pJY/szR0HrwMhxyZkO4xvsymN2yQiUBj0EXH5qOo0qN5o4wm6MGcECNkOQdvGWtKH3ZKldA4UlKVwZxLEdlrsfjGCr7id0ZdszL/NzudKibf6GDavg6La/mCtzcPOt8rwBLMYE1sAsHFBqRvH5eINcyJbneHstEpoCYbhAw6bArVsjQ/Difdf1ML9j+b+BwDJ/keOYUB5oS833lqxn8qiwODebGE/ZQU+XShFRERE5KRgGAZF3iKKvEWMKR7zjuUs26Ij2ZEP5loTrflxljuSHXQkO/LLPekesk6W1kQrrYnWAyur6H/em5Xh/pibIm+UsC9MqaeIaneAEWfYDJ+doMjrpnVYKDfpRDaNd+tOvL0ZjHGjcEIWRiaG0dGDGUxjBl1guMGxALBTRi5IszsJZvoDuz4/DY0RSqxe5pmb8sewbWsZqS4Pl0dWUlCcu4ulr83HrpdK8ZekGbV47100O/5USrLTS9HcBPYwk7jjI9HmxVhrkS700HhWGXHHTxwfRTt6ccVtdg6rorEoSqPjI5sxKO7spctTSF3xcOL4SDg+0rabPiNwyIDvgABvn4BvIPg7WMB3wHYFfHKcKIST951lW6SsFEkrSSKbIJFJ5AKz/tAslokdNEjbdzmRSeSDtYH1GTtzRMfhdhyicZtIysHy2xS5HKocm4pOh5G7Ab9DcoRBseGmCDdVy8DXDeZsCIVtAlYWe7tN18te/JEMIxbu86vT07mLWM0H2imo6r+INfjY9UopvpI0o0u35MvuaC4l1erD3d6BJ5gLvdymFwA7a9DjBIgRIOb4SZS4cQyD182xtFvFxBw/GZ9JaGqMPcEylqam0eiU0kIx1uR9up8P3A3qAiMCBV6Tcl/ul6YCn0nIa/Yv710XCXnzvdeqigOUF/rw6EIlIiIiIqcZt8udn9l1MpMPWTZjZfLBXEeyg/ZkOx2JvcsDr7tSuQnVEtkElmPRmeqkM9XJDmD1QGXF/c/7zk924cBCHNNlUlRQRMHCGgovLqTQW0ihp4BiT5CI4adsdppwyqE1Wkyh10cBBoGWHorO2EOgwIc9dRiuTALScQpa38DX1otn8hlQbEE6DsluPEW9mEUmeAsgHQMc7Gxu9tkid4ICIwUG9KV97GotpSCTYJZ7a/5wd+7MdSJYVLyWotL+TgTdXnYujeIpyDL28pZ82V0vRehr8BOZ3YdrFCQcH7FeH/bzkAm6aZ0bJY6PmOOjYGccs9diV1U5DZEyOvDRknFT2tpFjyfExtIR+XDPyhrEjAC9rgAYe7/P7BvwDYR0Bw34fG6CnoMHfKH8OgV8cngUwkme7dgks0mSVpJUNkXCSuRe9z8GvbYGPyeyicHr9yuT355NvufbNF22jd9xCDkOIduhvNdmeju4PDaJMpugneuFdsYaD4VxF4mZNsGgQYHjENgGrHbjK7MoOyeGL5vGtLPU/a6cTNxk5EXte7tz7wzQsLy/O3fh3l98tm0rI9Xtoaa2nYL+VKs346Mj7cdO7b29Mu74cEIGRtZhBxXE7CB9ToB0wE3BqBh9oSC/y55HnxMghp+iiX1YY11sL6qmKRUhhp9EyEfqcpMudwGkXPlxFwrOMwn5cr8AFfhMggPB2fm5EO1SX+455HPnwrWBkG2fdQGPWxMaiIiIiIgMAY/bQ0WogopQxbsXBtJWmq5UF92p7kHP77TcneqmO9WN5Vhk7Ww+7Duknv1e9x+asc2gwFOQC+8WF1LgLSPkCREyQwQ9QYLTg4Su2+e1GaDQ8FD44QTBeIqOokJSPg8B28bT2kn1zA24TAemVOcCu0ycgsSbeBs68c6YBlEDMjEMVxe+SAdmyAPBKGTikIljZ3PfUfzuNGEjCQYkMh52dJRRkEozw52PJ9m1JxfYzS18m5KKOACpuMm25eW4fRbjP5y/vYc9y4vp2RmkbEYPvgkWCXz0xX0kX3Bje1zEzi8gG3eTwcRbl8LTmqG7tpCuYUWkHTdWxqB6fRtZt5tNU0fQ7JhkMQm39hDqTtAcidAcKSXtmGRtFzVNLdhuLzuHjcDt8+Py+ChMpwhksiQKikkWRsDtxeU28WUsHF8AO1CA2+PF43blHqYLj8vIL5suA6/p2rvdbeSXTbeB9yDL+5bxuA1Mt6t/m4HbZeg74XGiEO40dtOzN7Gte1s+LEtZqXff6Z04DiYQStkELMj6cq89jkNxDEb1Olheh3iRQ9DJ3YY5Zb2LorRBzySDAq+LQsegZDuE1oNZaROaZuG3svisDI3/G8KKuxl9WTO+olz36s4tQZpWF1MwLE3NuXt/Htqyrpxs3M3Iyo69wVpvgIaOEgwzQygdz5d1eRxwOXRng7TZXvrwkwh4cVVk6SwpZEV2CjH89BGgZHw3VsbFo/7htKQj9BEgU+TCsyhLmydMY7KMGH5sXPjmuvYJv/qDstEmoXNMCvbpdVa2T0A222vut09ufdBr4tYYaiIiIiIipxyv20t5sJzyYPlh7+M4DvFsnN50b/7Rl+nLT/LWl+7LTwrXl+kbVG7gkbbTOOTGxOvN9ELs6M8lUBggaAYJNgQJeUK55YvKCJojCJgB/KY/9zzdj//Dfvymn6AZxG/68bu8BD+WIRRP0ur30edxE7Bt3N09VM6qw8SGKcNygV06ToHrTTz1bfinlUKVmeu519iJv6IJt9cN4RpI90F6b7jnNm0KjQSFJAhnTbZ1lePxZjnHtXf4n4bOYrp3BxkdbaLUnfujZNIu6uoqweWweObr+bKNDWG66kJEp/RQVpEbK9tKG2x+tQqAidc0YGSADDSvLaJjYwGRiX1UzMiloo4NG/+nGoDxVzfi9jqkHJP2twvo2RTAPzqDZ7pDxjHJYJJd4mBjkDg3QMbnJYMb9+4s/voUsfIAzWNL+su6qVzXhuMYbJ9QRdwXIO2YhLoSlLT20FlYSH1lFY7hwXaZVDe3YTguGquGkQ4UYBsefJkshckEqUAhvcXluEwvhtuDN5MBbwDbX4Dh8WF6zHywZ/YHft53WPb0B4TmQZb3Dxe9/cGjx8wFh6br1AkOFcKdLGwbrDRYaazuLuzeTlw+E3fAC9kUTjJOYsNmnHSS0OSRYGUgmyKxaQep+gZ8w4oJ1JaClcZOxGj74+t8ovkttk3vxWMYeByIbDUJ17tIDrOxRtv4MPDaBoGnTQwbfBel8XgcvI5Ner2b+NteCkalKJvZi+lYuHDY8MsqcAzGXtmEJ2gD0L4hRMsbYcIj41TP6cqf0qaXKrGzLkYX7Q3WOpqDNO8sJmSlGD5qb7DW5IRyf4asC8uxiRGgxx+EIugOFLDTqiZGgD78FI3qw84aPOeeRVummBh+nBIIzU/Q4itmW2pYrqzjJ/EBLymXD6/bRcjM9TYLlZiEprgH9SIr8Jkkz82tG+8zmekdHJTle6V5c6/V/VhERERERIaCYRi5HmueEJWhyvdUR8pK7Q3wBkK7TE9+2J/8mNqZ2OBxtjPxA7ZlnSxAbqihbIL2ZPu7vPsRMsBluPBv8u8N8qb5CZxZjN/09K+L4K8di3++H5/bh9ftzT/7r3RRkMqy02UQ8Ljx2zb+eBLflF24HYc900Zi9o/x7anZRaSpE9/ocpyaUgwrg6u3j9LEOrAtmH1F7ru2lcGfrKfQ34HvjFEwLoRjpbH7EvirmnEsm1TpBLCzYGWw/Rncfgd8HrLuAIadwbCtvafY//XRZ2QxLQsnbeC301QaPWCA48DGzmpcOMxwbcN0575rt/UV0LqniCpfO+e51+fr27i1Eifr4gPj1+E1+79rd4ZofjNMUW2cYTVd+bKbV1RgJd2MuqQFv5H7b9m1NUjjqmIKqpPUnLe3p2Xd73Mz+Y7on8k367jo2hWkbVUhnvIsoQVZLFzYjov4yyZ2H7hmG9ilbmxc2K3gesPCKnaRmBXEclykcBFcGyfTa9M9uYBkJICFgdmdpXhjL6mQh6bJZdiGC8dwE93SiTeWoX10lERpITYuPHGL6NYWMj4vzZNqsV0mjuGipL4VX1+SzppKEiXFOC43ZipLpL4Jy+ulbdxoDMON4zYpbGnHk0gSj5bT5fcf2/+H96EQDrDa9pDtacEV9OMycwNZ2okE2aZGsLN4q0r3hlob67A6OvDVluEpDuBk06TbO+h99W1wQ+Gc0TjZNI6VpnfZZtK7OwhOLcM3LISTTZFp76XrmXoM06HkkihYaQwrRfcrPSR3ZCiaBgWjLVx2Bqsnw+7fhzBcDhP+oil/vM0rwnRvD1E2rYfopP7EPeli528qAYeJ1zYyEBB3rymic3MBpZN6CUzrza3MGrT/oYoyYMHInlyXYaCluZD2bYXUmH1UDutP5x3Y2JpL52uTXblfIIC2bAF9KT9G2sbb/48ugOFycCwDxzZIOR7SmCQ8PoyAQ9z0sdWuyt3HTwBzWArLcfM75tGZLSLm+DEiFoVnxmkJlbA5XUvM8RMjgOe8NL3uAjoDEbJGCK/pxjPWhWeCC5/pGhSIhabuHeMs6nMzYr/bMgfGPQvt0/PMayo0ExERERGR04PP7cMX8BENRI+qHsdxyNiZfHA3ML73/kFeykrtHeaoP6zbdyijgaGP9h3GKGElyNq575q2Y+fHAz9mBtKQDfutGw6kga3gdfWHeQv6n1MbcwGfx4d3YSmeCyrxuDx43V48Lk/uMcOzd9nd/3zR3nX5soYb7186+LI2nQE/HsALeLrjmN19JIMBGkoK8RjgtiyiEzfjzlrYU8dgmwYuK0vBtHrcs3bhrSiC8RX9HXeylHa/hp1O4557KfgNnGwa09tEQboR77AaUqOLcfo7+XgrG7ESWdJlY3BCNlgZssE07oCDETDJmAW47AwuO41j54KGgdDQNGw8loWTMfBYFpVGf0caA7bGykj3ehjutBFy5Yak6kn72dMRIeRKMs1Vn/+zb2+Lkuz0Mm78Fgrc/WOqp3zsqi/FV5zhvOlv58vu3J0bZ3BmdDNFxf3jDPZ42flmbpzBS8e8lC9bvz5CrNFPlb2UYncCgGSnyfbnyjEDFuPCj+XL7l5aQu/uABVndWHWxrjtKP7XOhSFcMDuj1+K2RVg2PwOimpy/xGTLV52/jmKtyjDmMv2zmrT+nyEWLOf6nM6CY9KYAB2h4fWZ8swAxbR5N57z9tfyf1HDKXWEurqv0+9x6RpSzlur024ce9sNH1dxWS7gpg93YSS/d1eLReOVQDO4OM13ICR65ba5YTIYJIyTIwCB8dl8LZVS9rlJY2JqzCLWZllc6iGlVYRKUwytpuqMW1kDTcvWzNJ4iHjmBRVJij2xegsjdDirgC3F9vloWpRI7bp41fRkVi+ILg9+MNp/LMypApKyBRHMUwvLtOLZ7KD4Q/h8vrxevu7pl6c60bqcecCs4Gupt5P5LqbjnK7GN/f5dTTf596bnlv91OP26VbMkVERERERE4ghmHgdXvxur2U+EuOef0ZO5Mbr7w/nNt/nPJ4Nn7AOOYZK0PKSpGyUqSt9EGfD1hn556T2STOPl/A03Y6N6b5kc0BOLTeyD2ZhonpMjFrTNwuN+au/tcuE/M8E9Mwcbt2YjompsfEnBnEPGsCpsvEbbj3lr1zSn7Z7XLn6j3XxPzs3voGyns/bODJWKw33XhdrlxoGE/hvy5Gt+miOVqEiYHbAPe0ZlypDA01UdxBPy4cXJ0xguc04Ar6aZ04DJcDbiBYVUegJ449pZZkSQEux8Zo7SJSsQ130Eti9mgsK4ttWXisTYTae4lPHUaqIoRjZbFae/H1bMcImDSNXZi7k9DOYjfswROO0TtqNMkqH45jY3sTmLWtGD6D5kgtOBaGY5Mp7cFMZkgUV5IOOnv/0MeY4TiO8+7FTlwPPPAAP/jBD2hsbGTy5Mncd999nHvuuYe1b09PD+FwmHVzRuDuDDBsXgfBmjQWLuJtXppfCuMusCm8OE26/z7s9BoXdjukJ/tIVvlJY2LFoOjNGBmvye4zK3KhGB6Kd/bg703RXB2lvTSCZZi4LIPqXa1kPT7qx47BdnvB7aGwqw9vOks8UkaiuBTH7cXlchOKJXB8QdKRclweHy7Ti9vtwePx7B2Y0XThc7vwmHvvpfbuE14NBFqDXw8Ou06V+6tFRERERERE3gvHccg62UOGdvsuZ+wMGSuTe7YzZO3cvgOvB7al7fSgcvvvt+/yoP33qdNyrHc/gVOUy3Dlg8D9lxePXMxXZn/lmL7fQFbU3d1NUVHRMa37pO4J98tf/pLbbruNBx54gPnz5/Pggw9y6aWX8vbbb1NbW3vY9TT95CkKwxFiHg8ul4HbyIVSrq8aGC6DPhe4DCM3I0n/NrfLwGUYuAxyy/37zexfn9uOgi0RERERERGRk4BhGHiM3G2jIU/oeB/OIJZtkXWye4M9K03WyebW21kydiY/a27WzmI5Vj7EG3g9sJy1s2Sd/vX9+w+83r/8AfUOHIedGbTvvsdhO3Z+nyNZfie2Y2M7Nhn7wC6Jfem+ofyzH3MndU+4c845hzPPPJN//dd/za8744wzuOqqq7j77rvfdf+hTDdFREREREREROTdOY6D5VjYjp0PAd9p2XIsLDv3XOQtorqg+pgei3rCHUQ6nWb16tV85SuDux1efPHFLFu27KD7pFIpUqlU/nVPT8+QHqOIiIiIiIiIiByaYRiYRi6i8rq9x/lohs5JOyVkW1sblmVRUVExaH1FRQVNTU0H3efuu+8mHA7nHzU1Ne/HoYqIiIiIiIiIyGnupA3hBuw/5prjOO84Dtudd95Jd3d3/rFr16734xBFREREREREROQ0d9LejhqNRnG73Qf0emtpaTmgd9wAn8+Hz+d7Pw5PREREREREREQk76TtCef1ejnrrLNYsmTJoPVLlixh3rx5x+moREREREREREREDnTS9oQDuP3227n++uuZNWsWc+fO5aGHHqK+vp7Pfe5zx/vQRERERERERERE8k7qEO7aa6+lvb2db3/72zQ2NjJlyhT++Mc/MmLEiON9aCIiIiIiIiIiInmG4zjO8T6I46Wnp4dwOEx3dzdFRUXH+3BEREREREREROQ4Gsqs6KQdE05ERERERERERORkoRBORERERERERERkiCmEExERERERERERGWIn9cQMR2tgOLyenp7jfCQiIiIiIiIiInK8DWREQzGFwmkdwrW3twNQU1NznI9EREREREREREROFO3t7YTD4WNa52kdwkUiEQDq6+uP+R9W5GTR09NDTU0Nu3bt0izBctpSO5DTndqAiNqBCKgdiAB0d3dTW1ubz4yOpdM6hHO5ckPihcNh/QMjp72ioiK1AzntqR3I6U5tQETtQATUDkRgb2Z0TOs85jWKiIiIiIiIiIjIIArhREREREREREREhthpHcL5fD6++c1v4vP5jvehiBw3agciagciagMiagcioHYgAkPbDgxnKOZcFRERERERERERkbzTuieciIiIiIiIiIjI+0EhnIiIiIiIiIiIyBBTCCciIiIiIiIiIjLEFMKJiIiIiIiIiIgMsVMuhLvrrrswDGPQo7KyMr/dcRzuuusuqqurCQQCLFy4kPXr1w+qY+HChQfUcd11173fpyLynr1bO/j1r3/N4sWLiUajGIbB2rVrD6gjlUpxyy23EI1GCYVCXHnllezevft9PAuR9+5YtAFdC+Rkd6h2kMlk+PKXv8zUqVMJhUJUV1dzww030NDQMKgOXQvkZHcs2oGuB3Kye7fPRXfddRcTJ04kFApRUlLChRdeyIoVKwbVoeuBnMyORRs4VteCUy6EA5g8eTKNjY35x7p16/Lbvv/973Pvvfdy//33s2rVKiorK7nooovo7e0dVMdnP/vZQXU8+OCD7/dpiByVQ7WDWCzG/Pnz+cd//Md33P+2227jiSee4PHHH2fp0qX09fVx+eWXY1nW+3H4IkftaNsA6FogJ793agfxeJw1a9bw9a9/nTVr1vDrX/+azZs3c+WVVw7aX9cCORUcbTsAXQ/k5Heoz0Xjx4/n/vvvZ926dSxdupSRI0dy8cUX09rami+j64Gc7I62DcCxuRaYR30mJyDTNAelmgMcx+G+++7jq1/9KldffTUA//mf/0lFRQWPPfYYN998c75sMBg8aB0iJ4t3agcA119/PQA7duw46Pbu7m4eeeQRfv7zn3PhhRcC8N///d/U1NTwpz/9icWLFw/JMYscS0fTBgboWiAnu3dqB+FwmCVLlgxa95Of/ITZs2dTX19PbW2trgVyyjiadjBA1wM52R3qc9HHP/7xQa/vvfdeHnnkEd58800WLVqk64GcEo6mDQw4FteCU7In3JYtW6iurmbUqFFcd911bNu2DYDt27fT1NTExRdfnC/r8/n4wAc+wLJlywbV8eijjxKNRpk8eTJ33HHHAT3lRE5079QODsfq1avJZDKD2kp1dTVTpkw5oK2InKiOpg0M0LVATnZH0g66u7sxDIPi4mJA1wI5dRxNOxig64Gc7A63HaTTaR566CHC4TDTp08HdD2QU8PRtIEBx+JacMr1hDvnnHP4r//6L8aPH09zczPf+c53mDdvHuvXr6epqQmAioqKQftUVFSwc+fO/Ou//Mu/ZNSoUVRWVvLWW29x55138sYbbxzwS5nIiepQ7aC0tPRd929qasLr9VJSUjJofUVFRb4diZzIjrYNgK4FcvI7knaQTCb5yle+wsc//nGKiooAXQvk1HC07QB0PZCT3+G0gyeffJLrrruOeDxOVVUVS5YsIRqNAroeyMnvaNsAHMNrgXOK6+vrcyoqKpwf/ehHziuvvOIATkNDw6Ayn/nMZ5zFixe/Yx2vvfaaAzirV68e6sMVGRL7toN9bd++3QGc119/fdD6Rx991PF6vQfUc+GFFzo333zzUB6qyJA40jZwMLoWyMnundpBOp12PvShDzkzZ850uru78+t1LZBT0ZG2g4PR9UBOdgdrB319fc6WLVuc5cuXO5/61KeckSNHOs3NzY7j6Hogp54jbQMH816vBafk7aj7CoVCTJ06lS1btuTv3d0/rW9paTmgd9y+zjzzTDweD1u2bBnSYxUZKvu2g8NRWVlJOp2ms7Nz0Pp3aysiJ6ojbQMHo2uBnOwO1g4ymQzXXHMN27dvZ8mSJYN6/+haIKeiI20HB6PrgZzsDtYOQqEQY8eOZc6cOTzyyCOYpskjjzwC6Hogp54jbQMH816vBad8CJdKpdiwYQNVVVX5roP7dhdMp9O8+OKLzJs37x3rWL9+PZlMhqqqqvfjkEWOuX3bweE466yz8Hg8g9pKY2Mjb7311iHbisiJ6kjbwMHoWiAnu/3bwUDwsGXLFv70pz8dcGuergVyKjrSdnAwuh7Iye5wPhc5jkMqlQJ0PZBTz5G2gYN5r9eCU25MuDvuuIMrrriC2tpaWlpa+M53vkNPTw+f/OQnMQyD2267je9973uMGzeOcePG8b3vfY9gMJifDWPr1q08+uijXHbZZUSjUd5++22++MUvMnPmTObPn3+cz07k8ByqHQB0dHRQX19PQ0MDAJs2bQJyv3JVVlYSDof59Kc/zRe/+EVKS0uJRCLccccdTJ06NT8jksiJ7GjbgK4Fcio4VDvIZrN85CMfYc2aNTz55JNYlpW/UyASieD1enUtkFPC0bYDXQ/kVHCodhCLxfjud7/LlVdeSVVVFe3t7TzwwAPs3r2bj370owC6HshJ72jbwDG9FrzHW2hPWNdee61TVVXleDwep7q62rn66qud9evX57fbtu1885vfdCorKx2fz+ecd955zrp16/Lb6+vrnfPOO8+JRCKO1+t1xowZ49x6661Oe3v78Tgdkffk3drBT3/6Uwc44PHNb34zXyaRSDh/+7d/60QiEScQCDiXX365U19ffxzORuTIHW0b0LVATgWHagcD4yEe7PH888/n69C1QE52R9sOdD2QU8Gh2kEikXA+/OEPO9XV1Y7X63WqqqqcK6+80lm5cuWgOnQ9kJPZ0baBY3ktMBzHcY4qUhQREREREREREZFDOuXHhBMRERERERERETneFMKJiIiIiIiIiIgMMYVwIiIiIiIiIiIiQ0whnIiIiIiIiIiIyBBTCCciIiIiIiIiIjLEFMKJiIiIiIiIiIgMMYVwIiIiIiIiIiIiQ0whnIiIiIiIiIiIyBBTCCciIiIiIiIiIjLEFMKJiIiIyCnvwx/+MCUlJXzkIx853ociIiIipymFcCIiIiJyyrv11lv5r//6r+N9GCIiInIaUwgnIiIichpZuHAht9122xGVcRyHm266iUgkgmEYrF279ojezzCMI97vWDv//PMpLCw86LYbb7wxf4y/+c1v3t8DExERkdOGQjgRERE5re0bwJimSW1tLZ///Ofp7Ow83od23Pz617/mH/7hH/Kvn376aX72s5/x5JNP0tjYyJQpUw4rzBvw2c9+Nr/fiejHP/4xjY2Nx/swRERE5BRnHu8DEBERETneLrnkEn7605+SzWZ5++23+dSnPkVXVxe/+MUvjvehHReRSGTQ661bt1JVVcW8efPeU33BYJDKyspjcWjv6KyzziKVSh2w/tlnn6W6uvqQ+4bDYcLh8FAdmoiIiAignnAiIiIi+Hw+KisrGT58OBdffDHXXnstzz77bH77008/zYIFCyguLqa0tJTLL7+crVu3Dqpj4cKF3HLLLdx2222UlJRQUVHBQw89RCwW46/+6q8oLCxkzJgxPPXUU0dc76233sqXvvQlIpEIlZWV3HXXXYc8n1/96ldMnTqVQCBAaWkpF154IbFYLL/dtu1D1rdvL7cbb7yRW265hfr6egzDYOTIkdx44428+OKL/PjHP873ItyxY8dh/71t2+aee+5h7Nix+Hw+amtr+e53v3tUf8vVq1fz1ltvHfB4twBORERE5P2iEE5ERERkH9u2bePpp5/G4/Hk18ViMW6//XZWrVrFc889h8vl4sMf/jC2bQ/a9z//8z+JRqOsXLmSW265hc9//vN89KMfZd68eaxZs4bFixdz/fXXE4/Hj7jeUCjEihUr+P73v8+3v/1tlixZctDjb2xs5GMf+xif+tSn2LBhAy+88AJXX301juO8p/p+/OMf8+1vf5vhw4fT2NjIqlWr+PGPf8zcuXPzt5k2NjZSU1Nz2H/jO++8k3vuuYevf/3rvP322zz22GNUVFQc1d9SRERE5ERnOPt+IhMRERE5zdx4443893//N36/H8uySCaTANx777184QtfOOg+ra2tlJeXs27duvw4ZwsXLsSyLF5++WUALMsiHA5z9dVX52flbGpqoqqqiuXLlzNnzpz3VC/A7NmzueCCC/jHf/zHA+pYs2YNZ511Fjt27GDEiBEHbD+c+hYuXMiMGTO47777ALjvvvu47777BvV227/MO9m/XG9vL2VlZdx///185jOfecd9jvZvub/FixezZs0aYrEYkUiEJ554grPPPntQGcMweOKJJ7jqqqvetT4RERGRI6WecCIiInLaO//881m7di0rVqzglltuYfHixdxyyy357Vu3buXjH/84o0ePpqioiFGjRgFQX18/qJ5p06bll91uN6WlpUydOjW/bqC3V0tLy3uuF6Cqqipfx/6mT5/OokWLmDp1Kh/96Ed5+OGHD5hk4kjqO9Y2bNhAKpVi0aJFhyx3pH/Ld/PMM8/Q2tpKPB5n9+7dBwRwIiIiIkNNIZyIiIic9kKhEGPHjmXatGn88z//M6lUim9961v57VdccQXt7e08/PDDrFixghUrVgCQTqcH1bPvLayQ61m17zrDMADyt5seTb3737I6wO12s2TJEp566ikmTZrET37yEyZMmMD27dvfU33HWiAQOKxyR/q3FBERETnRKYQTERER2c83v/lNfvjDH9LQ0EB7ezsbNmzga1/7GosWLeKMM844oGfZezFU9UIuoJo/fz7f+ta3eP311/F6vTzxxBPHpO4BXq8Xy7KOeL9x48YRCAR47rnnjunxiIiIiJzozON9ACIiIiInmoULFzJ58mS+973v8c///M+Ulpby0EMPUVVVRX19PV/5yleO+j1KSkqGpN4VK1bw3HPPcfHFF1NeXs6KFStobW3ljDPOOOq69zVy5EhWrFjBjh07KCgoIBKJ4HK9+++7fr+fL3/5y3zpS1/C6/Uyf/58WltbWb9+PZ/+9KeP6TGKiIiInEjUE05ERETkIG6//XYefvhh9uzZw+OPP87q1auZMmUKX/jCF/jBD35w1PW7XK4hqbeoqIiXXnqJyy67jPHjx/O1r32NH/3oR1x66aVHXfe+7rjjDtxuN5MmTaKsrOyAcewO5etf/zpf/OIX+cY3vsEZZ5zBtdde+76NSSciIiJyvGh2VBEREREZMoc7i+qJQLOjioiIyFBSTzgRERERGVIPPPAABQUFrFu37ngfykF97nOfo6Cg4HgfhoiIiJzi1BNORERERIbMnj17SCQSANTW1uL1eo/zER2opaWFnp4eAKqqqgiFQsf5iERERORUpBBORERERERERERkiOl2VBERERERERERkSGmEE5ERERERERERGSIKYQTEREREREREREZYgrhREREREREREREhphCOBERERERERERkSGmEE5ERERERERERGSIKYQTEREREREREREZYgrhREREREREREREhphCOBERERERERERkSGmEE5ERERERERERGSIKYQTEREREREREREZYv8fOOrdovKoPOsAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax1 = plt.subplots(1,1,figsize=(15,3))\n", + "fit_kw = {}\n", + "spe_sil.plot(label=\"Si original\",ax=ax1)\n", + "spe_sil_calibrated.plot(ax=ax1,label=\"Si calibrated\")\n", + "ax1.set_xlabel('Raman shift [cm$^{-1}$]')\n", + "ax1.set_xlim(520-15,520+15)\n", + "\n", + "fitres = find_peaks(spe_test,profile=\"Pearson4\")\n", + " \n", + "fitres.plot(ax=ax1,label=\"fit res\")\n", + "spe_test.plot(ax=ax1,label=\"Si laser zeroed\", fmt=\":\")\n", + "df = fitres.to_dataframe_peaks().sort_values(by=\"height\",ascending=False)\n", + "\n", + "\n", + "print(\"The Si peak of the calibrated spectrum (Pearson4)\", df.iloc[0][\"center\"])\n", + "df.head()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "ramanchada2", + "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": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/tests/protocols/test_calibrationmodel.py b/tests/protocols/test_calibrationmodel.py index d48d7041..67cabc21 100644 --- a/tests/protocols/test_calibrationmodel.py +++ b/tests/protocols/test_calibrationmodel.py @@ -17,27 +17,34 @@ class SetupModule: def __init__(self): self.laser_wl = 785 + _provider = "ICV" + _optical_path = "100" + _device = "BWtek" + _wl_str = str(self.laser_wl) + self.si_profile = "Pearson4" + #self.si_profile = "Gaussian" self.spe_neon = rc2.spectrum.from_test_spe( - sample=["Neon"], provider=["FNMT"], OP=["03"], laser_wl=["785"] + sample=["Neon"], provider=[_provider], device =[_device], OP=[_optical_path], laser_wl=[_wl_str] ) + self.spe_pst2 = rc2.spectrum.from_test_spe( - sample=["PST"], provider=["FNMT"], OP=["02"], laser_wl=["785"] + sample=["PST"], provider=[_provider], device =[_device], OP=[_optical_path], laser_wl=[_wl_str] ) self.spe_pst3 = rc2.spectrum.from_test_spe( - sample=["PST"], provider=["FNMT"], OP=["03"], laser_wl=["785"] + sample=["PST"], provider=[_provider], device =[_device], OP=["020"], laser_wl=[_wl_str] ) self.spe_sil = rc2.spectrum.from_test_spe( - sample=["S0B"], provider=["FNMT"], OP=["03"], laser_wl=["785"] + sample=["S0B"], provider=[_provider], device =[_device], OP=[_optical_path], laser_wl=[_wl_str] ) self.spe_sil2 = rc2.spectrum.from_test_spe( - sample=["S0B"], provider=["FNMT"], OP=["02"], laser_wl=["785"] + sample=["S0B"], provider=[_provider], device =[_device], OP=[_optical_path], laser_wl=[_wl_str] ) self.spe_nCal = rc2.spectrum.from_test_spe( - sample=["nCAL"], provider=["FNMT"], OP=["03"], laser_wl=["785"] + sample=["nCAL"], provider=[_provider], device =[_device], OP=[_optical_path], laser_wl=[_wl_str] ) self.spe_SRM2241 = rc2.spectrum.from_test_spe( - sample=["NIST785_SRM2241"], provider=["FNMT"], OP=["03"], laser_wl=["785"] + sample=["NIST785_SRM2241"], provider=[_provider], device =[_device], OP=[_optical_path], laser_wl=[_wl_str] ) # NIR785_EL0-9002 @@ -56,27 +63,34 @@ def __init__(self): self.spe_sil = self.spe_sil.subtract_baseline_rc1_snip(**kwargs) self.spe_sil2 = self.spe_sil2.subtract_baseline_rc1_snip(**kwargs) - # normalize min/max - self.spe_neon = self.spe_neon.normalize() - self.spe_sil = self.spe_sil.normalize() - self.spe_sil2 = self.spe_sil2.normalize() + # don't normalize , it makes the Pearson4 fit worse! + #self.spe_neon = self.spe_neon.normalize() + #self.spe_sil = self.spe_sil.normalize() + #self.spe_sil2 = self.spe_sil2.normalize() + + fit_peaks = True try: neon_wl = rc2const.NEON_WL[785] self.calmodel = CalibrationModel.calibration_model_factory( - 785, + self.laser_wl, self.spe_neon, self.spe_sil, neon_wl=neon_wl, find_kw={"wlen": 200, "width": 1}, fit_peaks_kw={}, - should_fit=False, + should_fit=fit_peaks, + match_method = "cluster", + si_profile=self.si_profile ) assert len(self.calmodel.components) == 2 + #print(self.calmodel.components[0]) + #print(self.calmodel.components[1]) # print(self.calmodel.components[1].profile, self.calmodel.components[1].peaks) except Exception as _err: self.calmodel = None - print(_err) + traceback.print_exc() + @pytest.fixture(scope="module") @@ -86,22 +100,56 @@ def setup_module(): def test_laser_zeroing(setup_module): assert setup_module.calmodel is not None - fig, ax = plt.subplots(1, 1, figsize=(12, 2)) + si_peak = 520.45 + fig, (ax, axpeak, axsifit) = plt.subplots(3, 1, figsize=(12, 4)) spe_sil_calib = setup_module.calmodel.apply_calibration_x( setup_module.spe_sil, spe_units="cm-1" ) setup_module.spe_sil.plot(label="Si original", ax=ax) spe_sil_calib.plot(ax=ax, label="Si laser zeroed", fmt=":") - # ax.set_xlim(520.45-50,520.45+50) + plt.grid() + ax.set_xlim(si_peak-50,si_peak+50) + _units = setup_module.calmodel.components[1].model_units if _units == "cm-1": _units = rf"$\mathrm{{[cm^{-1}]}}$" assert _units == "nm" ax.set_xlabel(_units) - # print(setup_module.calmodel.components[1]) + #print(setup_module.calmodel.components[1].model) + + spe_test = spe_sil_calib #.trim_axes(method='x-axis',boundaries=(si_peak-50,si_peak+50)) + + find_kw={"wlen": 200, "width": 1, "sharpening" : None} + + find_kw["prominence"] = spe_test.y_noise_MAD() * setup_module.calmodel.prominence_coeff + cand = spe_test.find_peak_multipeak(**find_kw) + fit_kw = {} + fitres = spe_test.fit_peak_multimodel(profile=setup_module.si_profile,candidates=cand, **fit_kw ,no_fit=False) + fitres.plot(ax=axpeak,label="fit res") + spe_test.plot(ax=axpeak,label="Si laser zeroed", fmt=":") + + axpeak.set_xlim(si_peak-50,si_peak+50) + + # let's look at the peak before laser zeroing + spe_test_necalibrated_only = setup_module.calmodel.components[0].process(spe_test) + setup_module.calmodel.components[1].fit_res.plot(ax=axsifit) + si_peak_nm = setup_module.calmodel.components[1].model + axsifit.set_xlim(si_peak_nm-5,si_peak_nm+5) + spe_test_necalibrated_only.plot(ax=axsifit,label="Si (Ne calibrated only)", fmt=":") + + df = fitres.to_dataframe_peaks().sort_values(by="height",ascending=False) + print(df.iloc[0]["center"]) + + print(df.sort_values(by="amplitude",ascending=False).head()) + + plt.grid() plt.tight_layout() plt.savefig("test_calmodel_{}.png".format("laser_zeroing")) + + assert(abs(df.iloc[0]["center"] - si_peak) < 1E-2),"Si peak found at {}".format(df.iloc[0]["center"]) + + def resample(spe, xmin, xmax, npoints): From 8b4bf449ce2403ced92927307e58c4ad52ef0074 Mon Sep 17 00:00:00 2001 From: vedina Date: Wed, 30 Oct 2024 21:44:25 +0200 Subject: [PATCH 03/38] match_peaks method options --- examples/publication/demo.ipynb | 597 +++-------------------- src/ramanchada2/misc/utils/argmin2d.py | 2 +- src/ramanchada2/protocols/calibration.py | 11 + tests/protocols/test_calibrationmodel.py | 4 +- 4 files changed, 69 insertions(+), 545 deletions(-) diff --git a/examples/publication/demo.ipynb b/examples/publication/demo.ipynb index db2f5fd2..3cb6557b 100644 --- a/examples/publication/demo.ipynb +++ b/examples/publication/demo.ipynb @@ -21,7 +21,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -44,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -55,7 +55,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -78,7 +78,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -87,13 +87,13 @@ "" ] }, - "execution_count": 6, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -131,15 +131,15 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - " Neon calibration spe (cm-1) reference (nm) model (nm) \n", - " Laser zeroing using 818.272 nm spe (nm) reference (cm-1) model (nm) 818.2721718187864\n" + " Neon calibration spe (cm-1) reference (nm) model (nm) Calibration curve 37 points) thin_plate_spline\n", + " Laser zeroing using 818.3166492896055 nm 520.45 cm-1 (Pearson4) spe (nm) reference (cm-1) model (nm) 818.3166492896055\n" ] } ], @@ -168,12 +168,12 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -218,7 +218,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -228,88 +228,9 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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amplitudeamplitude_stderrcentercenter_stderrsigmasigma_stderrexponexpon_stderrskewskew_stderrfwhmfwhm_stderrheightheight_stderrpositionposition_stderr
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\n", - "
" - ], - "text/plain": [ - " amplitude amplitude_stderr center center_stderr sigma \\\n", - "g00_p3 414019.292387 None 521.115362 None 3.966707 \n", - "\n", - " sigma_stderr expon expon_stderr skew skew_stderr fwhm \\\n", - "g00_p3 None 1.435549 None 0.326557 None 6.601048 \n", - "\n", - " fwhm_stderr height height_stderr position position_stderr \n", - "g00_p3 None 49696.11424 None 520.664191 None " - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# Let's verfy the peak in the calibrated Si is at the right position \n", " \n", @@ -330,20 +251,9 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# plots\n", "fig, ax = plt.subplots(1,1,figsize=(12,3))\n", @@ -360,20 +270,9 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# apply calibration to another spectrum (e.g. PST)\n", "spe_pst = rc2.spectrum.from_test_spe(\n", @@ -418,7 +317,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -431,7 +330,7 @@ "# these are reference Ne peaks\n", "\n", "try:\n", - " find_kw = {\"wlen\": 100, \"width\": 1}\n", + " find_kw = {\"wlen\": 200, \"width\": 1}\n", " # options for finding peaks \n", " fit_peaks_kw = {}\n", " # options for fitting peaks\n", @@ -458,6 +357,15 @@ " traceback.print_exc()\n" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(model_neon)" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -469,151 +377,9 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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centerfwhmheightamplitude
0770.3945320.0791263968.5096693.058729e+01
11013.0719610.4836024376.8354647.932729e+18
2774.5066260.855382156.2837706.441742e+03
3775.5284140.0995644337.1269481.992886e+01
4780.8641390.82926478.1521157.272615e+01
...............
931032.0333430.662469156.2532386.953548e+02
941035.7602921.457904103.4507692.380852e+02
971046.5691200.057941143.5253456.751846e+00
981049.3937931.178730166.8593189.584850e+02
991053.3335180.232926187.3860724.646089e+01
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90 rows × 4 columns

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" - ], - "text/plain": [ - " center fwhm height amplitude\n", - "0 770.394532 0.079126 3968.509669 3.058729e+01\n", - "1 1013.071961 0.483602 4376.835464 7.932729e+18\n", - "2 774.506626 0.855382 156.283770 6.441742e+03\n", - "3 775.528414 0.099564 4337.126948 1.992886e+01\n", - "4 780.864139 0.829264 78.152115 7.272615e+01\n", - ".. ... ... ... ...\n", - "93 1032.033343 0.662469 156.253238 6.953548e+02\n", - "94 1035.760292 1.457904 103.450769 2.380852e+02\n", - "97 1046.569120 0.057941 143.525345 6.751846e+00\n", - "98 1049.393793 1.178730 166.859318 9.584850e+02\n", - "99 1053.333518 0.232926 187.386072 4.646089e+01\n", - "\n", - "[90 rows x 4 columns]" - ] - }, - "execution_count": 16, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# Quick plott of Ne peaks (blue) and references (red)\n", "calmodel.plot()\n", @@ -622,20 +388,9 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# we can calibrate Ne according to the calibration curve derived using Neon peaks\n", "spe_ne_cm1 = model_neon.process(spe_neon,convert_back=True)\n", @@ -694,13 +449,17 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# The second step of the X calibration - Laser zeroing\n", "# \n", - "try: \n", + "try: \n", + " find_kw = {\"wlen\": 200, \"width\": 1}\n", + " # options for finding peaks \n", + " fit_peaks_kw = {}\n", + " # options for fitting peaks \n", " spe_sil_ne_calib = model_neon.process(\n", " spe_sil, spe_units=\"cm-1\", convert_back=False\n", " ) \n", @@ -732,20 +491,9 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Neon calibration spe (cm-1) reference (nm) model (nm) \n", - "\n", - "Laser zeroing using 818.530 nm spe (nm) reference (cm-1) model (nm) 818.529806631564\n" - ] - } - ], + "outputs": [], "source": [ "# Now calmodel has two components , derived with Ne and Si respectively\n", "\n", @@ -760,58 +508,9 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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centerfwhmheightamplitude
0818.5298070.43237849694.95944427107.838601
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" - ], - "text/plain": [ - " center fwhm height amplitude\n", - "0 818.529807 0.432378 49694.959444 27107.838601" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "# These are the Si peaks (in nm) . The top peak is ALWAYS converted to the reference value (520.45 cm-1) due to laser zeroing formula\n", "model_si.peaks.head()" @@ -819,20 +518,9 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# These plots are for illustration , there are easier way to do calibration, see below\n", "fig, axes = plt.subplots(2,1,figsize=(15,8))\n", @@ -860,7 +548,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -877,90 +565,9 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The Si peak of the calibrated spectrum (Gaussian) 519.7905948715678\n" - ] - }, - { - "data": { - "text/html": [ - "
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amplitudeamplitude_stderrcentercenter_stderrsigmasigma_stderrfwhmfwhm_stderrheightheight_stderr
g00_p0350946.8369077978.596975519.7905950.0797043.0359020.0796837.1490020.1876446117.2820971048.573639
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" - ], - "text/plain": [ - " amplitude amplitude_stderr center center_stderr sigma \\\n", - "g00_p0 350946.836907 7978.596975 519.790595 0.079704 3.035902 \n", - "\n", - " sigma_stderr fwhm fwhm_stderr height height_stderr \n", - "g00_p0 0.079683 7.149002 0.18764 46117.282097 1048.573639 " - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "#Plot\n", "fig, ax = plt.subplots(1,1,figsize=(15,3))\n", @@ -971,7 +578,7 @@ "ax.set_xlim(520-20,520+20)\n", "# let's check the Si peak\n", "si_peak = 520.45\n", - "spe_test = spe_sil_calibrated.trim_axes(method='x-axis',boundaries=(si_peak-50,si_peak+50))\n", + "spe_test = spe_sil_calibrated #.trim_axes(method='x-axis',boundaries=(si_peak-50,si_peak+50))\n", "\n", "fitres = find_peaks(spe_test,profile=\"Gaussian\")\n", " \n", @@ -985,113 +592,19 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The Si peak of the calibrated spectrum (Pearson4) 520.5433097307822\n" - ] - }, - { - "data": { - "text/html": [ - "
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amplitudeamplitude_stderrcentercenter_stderrsigmasigma_stderrexponexpon_stderrskewskew_stderrfwhmfwhm_stderrheightheight_stderrpositionposition_stderr
g00_p0394578.4876664257.063967520.543310.1012524.0991230.1504071.5591360.071620.4026810.0617266.5276870.09604549357.548279379.795746520.0139650.031484
\n", - "
" - ], - "text/plain": [ - " amplitude amplitude_stderr center center_stderr sigma \\\n", - "g00_p0 394578.487666 4257.063967 520.54331 0.101252 4.099123 \n", - "\n", - " sigma_stderr expon expon_stderr skew skew_stderr fwhm \\\n", - "g00_p0 0.150407 1.559136 0.07162 0.402681 0.061726 6.527687 \n", - "\n", - " fwhm_stderr height height_stderr position position_stderr \n", - "g00_p0 0.096045 49357.548279 379.795746 520.013965 0.031484 " - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig, ax1 = plt.subplots(1,1,figsize=(15,3))\n", - "fit_kw = {}\n", + "\n", "spe_sil.plot(label=\"Si original\",ax=ax1)\n", + "spe_sil_calibrated = calmodel.apply_calibration_x(spe_sil)\n", "spe_sil_calibrated.plot(ax=ax1,label=\"Si calibrated\")\n", "ax1.set_xlabel('Raman shift [cm$^{-1}$]')\n", - "ax1.set_xlim(520-15,520+15)\n", + "ax1.set_xlim(520-20,520+20)\n", "\n", + "spe_test = spe_sil_calibrated #.trim_axes(method='x-axis',boundaries=(si_peak-50,si_peak+50))\n", "fitres = find_peaks(spe_test,profile=\"Pearson4\")\n", " \n", "fitres.plot(ax=ax1,label=\"fit res\")\n", diff --git a/src/ramanchada2/misc/utils/argmin2d.py b/src/ramanchada2/misc/utils/argmin2d.py index 13a8bdff..c4d86e06 100644 --- a/src/ramanchada2/misc/utils/argmin2d.py +++ b/src/ramanchada2/misc/utils/argmin2d.py @@ -113,7 +113,7 @@ def match_peaks_cluster(spe_pos_dict, ref): n_ref = len(ref.keys()) n_spe = len(spe_pos_dict.keys()) - kmeans = KMeans(n_clusters=n_ref if n_ref > n_spe else n_spe) + kmeans = KMeans(n_clusters=n_ref if n_ref > n_spe else n_spe, random_state= 68) kmeans.fit(feature_matrix) labels = kmeans.labels_ # Extract cluster labels, x values, and y values diff --git a/src/ramanchada2/protocols/calibration.py b/src/ramanchada2/protocols/calibration.py index ed2c2fef..f1f24c02 100644 --- a/src/ramanchada2/protocols/calibration.py +++ b/src/ramanchada2/protocols/calibration.py @@ -15,6 +15,7 @@ import ramanchada2.misc.constants as rc2const from ramanchada2.misc.plottable import Plottable from ..misc import utils as rc2utils +from ..misc.utils.argmin2d import match_peaks, match_peaks_cluster,cost_function,cost_function_position from ..spectrum import Spectrum logger = logging.getLogger(__name__) @@ -959,3 +960,13 @@ def to_dict(self): "scale": self._scale, "shift": self._shift, } + + def plot(self,ax): + ax.scatter(self.y.reshape(-1),self.d.reshape(-1)) + + + def __str__(self): + return ( + f"Calibration curve {len(self.y)} points) {self.kernel}" + + ) diff --git a/tests/protocols/test_calibrationmodel.py b/tests/protocols/test_calibrationmodel.py index 67cabc21..bea11668 100644 --- a/tests/protocols/test_calibrationmodel.py +++ b/tests/protocols/test_calibrationmodel.py @@ -12,7 +12,7 @@ YCalibrationComponent, ) from sklearn.metrics.pairwise import cosine_similarity - +import traceback class SetupModule: def __init__(self): @@ -147,7 +147,7 @@ def test_laser_zeroing(setup_module): plt.tight_layout() plt.savefig("test_calmodel_{}.png".format("laser_zeroing")) - assert(abs(df.iloc[0]["center"] - si_peak) < 1E-2),"Si peak found at {}".format(df.iloc[0]["center"]) + assert(abs(df.iloc[0]["center"] - si_peak) < 1E-2,"Si peak found at {}".format(df.iloc[0]["center"])) From 84c81ba911211a3d46fb49d6398b0c2a33367994 Mon Sep 17 00:00:00 2001 From: vedina Date: Wed, 30 Oct 2024 22:42:27 +0200 Subject: [PATCH 04/38] assert fixed --- tests/protocols/test_calibrationmodel.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/protocols/test_calibrationmodel.py b/tests/protocols/test_calibrationmodel.py index bea11668..79bca1de 100644 --- a/tests/protocols/test_calibrationmodel.py +++ b/tests/protocols/test_calibrationmodel.py @@ -146,8 +146,8 @@ def test_laser_zeroing(setup_module): plt.grid() plt.tight_layout() plt.savefig("test_calmodel_{}.png".format("laser_zeroing")) - - assert(abs(df.iloc[0]["center"] - si_peak) < 1E-2,"Si peak found at {}".format(df.iloc[0]["center"])) + difference = abs(df.iloc[0]["center"] - si_peak) + assert difference < 1E-2 , f"Si peak found at {df.iloc[0]['center']}" From f395a6d4d8ed7a1bdc31a1ef9d0b08ee17c62a7a Mon Sep 17 00:00:00 2001 From: vedina Date: Wed, 30 Oct 2024 22:55:39 +0200 Subject: [PATCH 05/38] scipy import --- src/ramanchada2/misc/utils/argmin2d.py | 8 ++++---- src/ramanchada2/protocols/calibration.py | 12 ++++++++++-- 2 files changed, 14 insertions(+), 6 deletions(-) diff --git a/src/ramanchada2/misc/utils/argmin2d.py b/src/ramanchada2/misc/utils/argmin2d.py index c4d86e06..3da92006 100644 --- a/src/ramanchada2/misc/utils/argmin2d.py +++ b/src/ramanchada2/misc/utils/argmin2d.py @@ -7,7 +7,7 @@ from scipy import linalg from sklearn.cluster import KMeans from sklearn.metrics.pairwise import euclidean_distances - +from scipy.optimize import linear_sum_assignment def argmin2d(A): ymin_idx = np.argmin(A, axis=0) @@ -148,12 +148,12 @@ def match_peaks_cluster(spe_pos_dict, ref): def cost_function_position(p1, p2, order_weight=1.0 ,priority_weight=1.0): order_penalty = order_weight * abs(p1[0] - p2[0]) - return order_penalty + return order_penalty + #order_penalty - priority_bonus def cost_function(p1, p2, order_weight=1.0, priority_weight=.1): """ Modified cost function with an order preservation penalty and priority weighting. - - `order_weight` increases penalty for large differences in the x-axis values. - `priority_weight` decreases the cost for higher values in the y-axis for set_b points. """ @@ -244,7 +244,7 @@ def match_peaks(spectrum_a_dict,spectrum_b_dict,threshold_max_distance=9, df=Fal >>> match_peaks(spectrum_a, spectrum_b) """ - cost_matrix = cost_matrix_peaks(spectrum_a_dict,spectrum_b_dict,threshold_max_distance=threshold_max_distance*2, cost_func = cost_function if cost_func is None else cost_func) + cost_matrix = cost_matrix_peaks(spectrum_a_dict,spectrum_b_dict,threshold_max_distance=threshold_max_distance, cost_func = cost_function if cost_func is None else cost_func) # Use the Hungarian algorithm to find the optimal assignment try: diff --git a/src/ramanchada2/protocols/calibration.py b/src/ramanchada2/protocols/calibration.py index f1f24c02..d094a6ee 100644 --- a/src/ramanchada2/protocols/calibration.py +++ b/src/ramanchada2/protocols/calibration.py @@ -223,7 +223,7 @@ def derive_model( ) ) peaks_df = self.fit_peaks(find_kw,fit_peaks_kw,should_fit) - x_spe, x_reference, x_distance, cost_matrix, df = self.match_peaks(threshold_max_distance=15,return_df=True) + x_spe, x_reference, x_distance, cost_matrix, df = self.match_peaks(threshold_max_distance=8,return_df=True) self.cost_matrix = cost_matrix self.matched_peaks = df @@ -962,8 +962,16 @@ def to_dict(self): } def plot(self,ax): - ax.scatter(self.y.reshape(-1),self.d.reshape(-1)) + ax.scatter(self.y.reshape(-1),self.d.reshape(-1),marker="+",color="blue",label="Matched peaks") + x_range = np.linspace(self.y.min(), self.y.max(), 100) # Adjust number of points if needed + predicted_x = self(x_range.reshape(-1, 1)) + + ax.plot(x_range, predicted_x,color="red",linestyle='-',label="Calibration curve") + ax.set_xlabel("Ne peaks, nm") + ax.set_ylabel("Reference peaks, nm") + ax.grid(which='both', linestyle='--', linewidth=0.5, color='gray') + ax.legend() def __str__(self): return ( From 10ef1ec42aa0067757d60431029ded9035ea8288 Mon Sep 17 00:00:00 2001 From: vedina Date: Wed, 30 Oct 2024 23:05:57 +0200 Subject: [PATCH 06/38] mypy/flake8 happy --- src/ramanchada2/misc/utils/argmin2d.py | 73 ++++++++++------------- src/ramanchada2/protocols/calibration.py | 74 ++++++++++++------------ tests/protocols/test_calibrationmodel.py | 65 ++++++++++----------- 3 files changed, 94 insertions(+), 118 deletions(-) diff --git a/src/ramanchada2/misc/utils/argmin2d.py b/src/ramanchada2/misc/utils/argmin2d.py index 3da92006..419486ed 100644 --- a/src/ramanchada2/misc/utils/argmin2d.py +++ b/src/ramanchada2/misc/utils/argmin2d.py @@ -9,6 +9,7 @@ from sklearn.metrics.pairwise import euclidean_distances from scipy.optimize import linear_sum_assignment + def argmin2d(A): ymin_idx = np.argmin(A, axis=0) xmin_idx = np.argmin(A, axis=1) @@ -113,7 +114,7 @@ def match_peaks_cluster(spe_pos_dict, ref): n_ref = len(ref.keys()) n_spe = len(spe_pos_dict.keys()) - kmeans = KMeans(n_clusters=n_ref if n_ref > n_spe else n_spe, random_state= 68) + kmeans = KMeans(n_clusters=n_ref if n_ref > n_spe else n_spe, random_state=68) kmeans.fit(feature_matrix) labels = kmeans.labels_ # Extract cluster labels, x values, and y values @@ -146,10 +147,11 @@ def match_peaks_cluster(spe_pos_dict, ref): sort_indices = np.argsort(x_spe) return (x_spe[sort_indices], x_reference[sort_indices], x_distance[sort_indices], df) -def cost_function_position(p1, p2, order_weight=1.0 ,priority_weight=1.0): + +def cost_function_position(p1, p2, order_weight=1.0, priority_weight=1.0): order_penalty = order_weight * abs(p1[0] - p2[0]) - return order_penalty - #order_penalty - priority_bonus + return order_penalty + def cost_function(p1, p2, order_weight=1.0, priority_weight=.1): """ @@ -159,7 +161,6 @@ def cost_function(p1, p2, order_weight=1.0, priority_weight=.1): """ order_penalty = order_weight * abs(p1[0] - p2[0]) priority_bonus = priority_weight * p2[1] # Rewards points in set_b with higher second dimension values - #distance_cost = np.sqrt((p1[0] - p2[0])**2 + (p1[1] - p2[1])**2) return order_penalty - priority_bonus @@ -171,7 +172,7 @@ def normalize_tuples(tuples): return [(tuples[i][0], normalized_values[i]) for i in range(len(tuples))] -def cost_matrix_peaks(spectrum_a_dict,spectrum_b_dict,threshold_max_distance=9, cost_func = None): +def cost_matrix_peaks(spectrum_a_dict, spectrum_b_dict, threshold_max_distance=9, cost_func=None): if cost_func is None: cost_func = cost_function_position peaks_a = np.array(list(spectrum_a_dict.keys())) @@ -190,25 +191,17 @@ def normalize_intensities(intensities): intensities_a_normalized = normalize_intensities(intensities_a) intensities_b_normalized = normalize_intensities(intensities_b) - min_peak_b = np.min(peaks_b)-threshold_max_distance - max_peak_b = np.max(peaks_b)+threshold_max_distance - - num_peaks_a = len(peaks_a) + num_peaks_a = len(peaks_a) cost_matrix = np.full((num_peaks_a, num_peaks_b), np.inf) # Initialize with infinity for i in range(num_peaks_a): - #if peaks_a[i] < min_peak_b or peaks_a[i] > max_peak_b: - # continue for j in range(num_peaks_b): - position_cost = abs(peaks_a[i] - peaks_b[j]) - #if position_cost > threshold_max_distance*2: - # continue - cost = cost_func([peaks_a[i],intensities_a_normalized[i]],[peaks_b[j],intensities_b_normalized[j]],priority_weight=2) - - cost_matrix[i, j] = cost + cost = cost_func([peaks_a[i], intensities_a_normalized[i]], [peaks_b[j], intensities_b_normalized[j]], priority_weight=1) + cost_matrix[i, j] = cost return cost_matrix -def match_peaks(spectrum_a_dict,spectrum_b_dict,threshold_max_distance=9, df=False , cost_func = None): + +def match_peaks(spectrum_a_dict, spectrum_b_dict, threshold_max_distance=9, df=False, cost_func=None): """ Match peaks between two spectra based on their positions and intensities. @@ -218,19 +211,19 @@ def match_peaks(spectrum_a_dict,spectrum_b_dict,threshold_max_distance=9, df=Fal Parameters: ---------- spectrum_a_dict : dict - A dictionary representing the first spectrum, where keys are peak + A dictionary representing the first spectrum, where keys are peak positions (float) and values are peak intensities (float). spectrum_b_dict : dict - A dictionary representing the second spectrum, where keys are peak + A dictionary representing the second spectrum, where keys are peak positions (float) and values are peak intensities (float). threshold_max_distance : float, optional - The maximum allowed distance for two peaks to be considered a match. - Default is 5. + The maximum allowed distance for two peaks to be considered a match. + Default is 8. df : bool, optional - If True, return a DataFrame with matched peaks and their respective + If True, return a DataFrame with matched peaks and their respective intensities; if False, return None Returns: @@ -243,9 +236,9 @@ def match_peaks(spectrum_a_dict,spectrum_b_dict,threshold_max_distance=9, df=Fal >>> spectrum_b = {102: 12, 106: 22, 111: 16} >>> match_peaks(spectrum_a, spectrum_b) - """ - cost_matrix = cost_matrix_peaks(spectrum_a_dict,spectrum_b_dict,threshold_max_distance=threshold_max_distance, cost_func = cost_function if cost_func is None else cost_func) - + """ + cost_matrix = cost_matrix_peaks(spectrum_a_dict, spectrum_b_dict, threshold_max_distance=threshold_max_distance, cost_func=cost_function if cost_func is None else cost_func) + # Use the Hungarian algorithm to find the optimal assignment try: row_ind, col_ind = linear_sum_assignment(cost_matrix) @@ -253,13 +246,6 @@ def match_peaks(spectrum_a_dict,spectrum_b_dict,threshold_max_distance=9, df=Fal except Exception as err: raise err - # experiments with dynamic programming - #print(normalize_tuples(list(spectrum_a_dict.items()))) - - #matches, min_cost, _df = partial_ordered_match(normalize_tuples(list(spectrum_a_dict.items())), normalize_tuples(list(spectrum_b_dict.items())), - # order_weight=1.0, priority_weight=0, cost_func = cost_function_euclidean) - #print("matches",matches) - # Prepare matched peaks and distances # I am sure this could be done in a more efficient way matched_peaks_a = [] @@ -303,20 +289,19 @@ def match_peaks(spectrum_a_dict,spectrum_b_dict,threshold_max_distance=9, df=Fal # Sort matched peaks by peaks_a # linear_sum_assignment shall give the row_ind sorted - #sorted_indices = np.argsort(matched_peaks_a) - #matched_peaks_a = matched_peaks_a[sorted_indices] - #matched_peaks_b = matched_peaks_b[sorted_indices] - #matched_distances = matched_distances[sorted_indices] + # sorted_indices = np.argsort(matched_peaks_a) + # matched_peaks_a = matched_peaks_a[sorted_indices] + # matched_peaks_b = matched_peaks_b[sorted_indices] + # matched_distances = matched_distances[sorted_indices] if df: df = pd.DataFrame({ 'spe': matched_peaks_a, 'reference': matched_peaks_b, 'distances': matched_distances, - 'intensity_a' : intensity_a, - 'intensity_b' : intensity_b - }) + 'intensity_a': intensity_a, + 'intensity_b': intensity_b + }) else: - df = None - return (matched_peaks_a,matched_peaks_b,matched_distances,cost_matrix, df) - + df = None + return (matched_peaks_a, matched_peaks_b, matched_distances, cost_matrix, df) diff --git a/src/ramanchada2/protocols/calibration.py b/src/ramanchada2/protocols/calibration.py index d094a6ee..9dfe361b 100644 --- a/src/ramanchada2/protocols/calibration.py +++ b/src/ramanchada2/protocols/calibration.py @@ -14,8 +14,7 @@ import ramanchada2.misc.constants as rc2const from ramanchada2.misc.plottable import Plottable -from ..misc import utils as rc2utils -from ..misc.utils.argmin2d import match_peaks, match_peaks_cluster,cost_function,cost_function_position +from ..misc.utils.argmin2d import match_peaks, match_peaks_cluster, cost_function_position from ..spectrum import Spectrum logger = logging.getLogger(__name__) @@ -140,7 +139,7 @@ def fitres2df(self, spe): class XCalibrationComponent(CalibrationComponent): - def __init__(self, laser_wl, spe, spe_units, ref, ref_units, sample="Neon",match_method = "cluster"): + def __init__(self, laser_wl, spe, spe_units, ref, ref_units, sample="Neon", match_method="cluster"): super(XCalibrationComponent, self).__init__( laser_wl, spe, spe_units, ref, ref_units, sample ) @@ -222,18 +221,18 @@ def derive_model( self.name, self.spe_units, self.ref_units ) ) - peaks_df = self.fit_peaks(find_kw,fit_peaks_kw,should_fit) - x_spe, x_reference, x_distance, cost_matrix, df = self.match_peaks(threshold_max_distance=8,return_df=True) - + peaks_df = self.fit_peaks(find_kw, fit_peaks_kw, should_fit) + x_spe, x_reference, x_distance, cost_matrix, df = self.match_peaks(threshold_max_distance=8, return_df=True) + self.cost_matrix = cost_matrix self.matched_peaks = df - #if df is None: + # if df is None: # self.matched_peaks = pd.DataFrame({ # 'spe': x_spe, # 'reference': x_reference, # 'distances': x_distance # }) - + sum_of_differences = np.sum(np.abs(x_spe - x_reference)) / len(x_spe) logger.debug( "sum_of_differences original {} {}".format( @@ -262,30 +261,30 @@ def derive_model( except Exception as err: raise err - def match_peaks(self, threshold_max_distance=9 , return_df = False): + def match_peaks(self, threshold_max_distance=9, return_df=False): if self.match_method == "cluster": x_spe, x_reference, x_distance, df = match_peaks_cluster( - self.spe_pos_dict, self.ref - ) - cost_matrix = None - return x_spe, x_reference, x_distance,cost_matrix, df + self.spe_pos_dict, self.ref + ) + cost_matrix = None + return x_spe, x_reference, x_distance, cost_matrix, df else: try: - x_spe, x_reference, x_distance,cost_matrix, df = match_peaks( - self.spe_pos_dict, self.ref, threshold_max_distance=threshold_max_distance,df=return_df, + x_spe, x_reference, x_distance, cost_matrix, df = match_peaks( + self.spe_pos_dict, self.ref, threshold_max_distance=threshold_max_distance, df=return_df, cost_func=self.cost_function ) - return x_spe, x_reference, x_distance,cost_matrix, df + return x_spe, x_reference, x_distance, cost_matrix, df except Exception as err: raise err - def fit_peaks(self,find_kw,fit_peaks_kw,should_fit): + def fit_peaks(self, find_kw, fit_peaks_kw, should_fit): spe_to_process = self.convert_units(self.spe, self.spe_units, self.ref_units) logger.debug("max x", max(spe_to_process.x), self.ref_units) peaks_df = None self.fit_res = None - + # instead of fit_peak_positions - we don't want movmin here # baseline removal might be done during preprocessing center_err_threshold = 0.5 @@ -293,7 +292,7 @@ def fit_peaks(self,find_kw,fit_peaks_kw,should_fit): cand = spe_to_process.find_peak_multipeak(**find_kw) # print(cand.get_ampl_pos_fwhm()) - self.fit_res = spe_to_process.fit_peak_multimodel(profile="Gaussian",candidates=cand, **fit_peaks_kw, no_fit = not should_fit) # type: ignore + self.fit_res = spe_to_process.fit_peak_multimodel(profile="Gaussian", candidates=cand, **fit_peaks_kw, no_fit=not should_fit) peaks_df = self.fitres2df(spe_to_process) # self.fit_res.to_dataframe_peaks() if should_fit: @@ -323,7 +322,7 @@ def derive_model(self, find_kw=None, fit_peaks_kw=None, should_fit=True, name=No if find_kw is None: find_kw = {} if fit_peaks_kw is None: - fit_peaks_kw = {} + fit_peaks_kw = {} cand = self.spe.find_peak_multipeak(**find_kw) logger.debug(self.name, cand) @@ -343,9 +342,9 @@ def derive_model(self, find_kw=None, fit_peaks_kw=None, should_fit=True, name=No elif "center" in df.columns: zero_peak_nm = df.iloc[0]["center"] # https://www.elodiz.com/calibration-and-validation-of-raman-instruments/ - zero_peak_cm1 = self.zero_nm_to_shift_cm_1(zero_peak_nm, zero_peak_nm,list(self.ref.keys())[0]) + zero_peak_cm1 = self.zero_nm_to_shift_cm_1(zero_peak_nm, zero_peak_nm, list(self.ref.keys())[0]) self.set_model( - zero_peak_nm, "nm", df, "Laser zeroing using {} nm {} cm-1 ({}) ".format(zero_peak_nm,zero_peak_cm1,self.profile) + zero_peak_nm, "nm", df, "Laser zeroing using {} nm {} cm-1 ({}) ".format(zero_peak_nm, zero_peak_cm1, self.profile) ) logger.info(self.name, f"peak {self.profile} at {zero_peak_nm} nm") # laser_wl should be calculated based on the peak position and set instead of the nominal @@ -599,7 +598,6 @@ def _plot(self, ax, **kwargs): self.ref.plot(ax, **kwargs) - class CalibrationModel(ProcessingModel, Plottable): """ A class representing a calibration model for Raman spectrum. @@ -618,7 +616,7 @@ def __init__(self, laser_wl: int): # Create an instance of CalibrationModel import ramanchada2 as rc2 import ramanchada2.misc.constants as rc2const - from ramanchada2.protocols.calibration import CalibrationModel + from ramanchada2.protocols.calibration import CalibrationModel laser_wl=785 calmodel = CalibrationModel.calibration_model_factory( laser_wl, @@ -687,7 +685,7 @@ def derive_model_x( find_kw={"wlen": 200, "width": 1}, fit_kw={}, should_fit=False, - match_method = "cluster" + match_method="cluster" ): """ Derives x-calibration models using Neon and Silicon spectra. @@ -707,7 +705,7 @@ def derive_model_x( fit_peaks_kw=fit_kw, should_fit=should_fit, name="Neon calibration", - match_method= match_method + match_method=match_method ) spe_sil_ne_calib = model_neon.process( spe_sil, spe_units=spe_sil_units, convert_back=False @@ -736,7 +734,7 @@ def _derive_model_curve( fit_peaks_kw=None, should_fit=False, name="X calibration", - match_method = "cluster" + match_method="cluster" ): if find_kw is None: find_kw = {} @@ -767,7 +765,7 @@ def derive_model_curve( fit_peaks_kw={}, should_fit=False, name="X calibration", - match_method = "cluster" + match_method="cluster" ): warnings.warn( message="Do not use directly. Use derive_model_x instead.", @@ -882,8 +880,8 @@ def calibration_model_factory( fit_peaks_kw=None, should_fit=False, prominence_coeff=3, - match_method = "cluster", - si_profile = "Pearson4" + match_method="cluster", + si_profile="Pearson4" ): if neon_wl is None: @@ -904,7 +902,7 @@ def calibration_model_factory( fit_peaks_kw=fit_peaks_kw, should_fit=should_fit, name="Neon calibration", - match_method = match_method + match_method=match_method ) spe_sil_ne_calib = model_neon.process( spe_sil, spe_units="cm-1", convert_back=False @@ -960,14 +958,14 @@ def to_dict(self): "scale": self._scale, "shift": self._shift, } - - def plot(self,ax): - ax.scatter(self.y.reshape(-1),self.d.reshape(-1),marker="+",color="blue",label="Matched peaks") - x_range = np.linspace(self.y.min(), self.y.max(), 100) # Adjust number of points if needed - predicted_x = self(x_range.reshape(-1, 1)) + def plot(self, ax): + ax.scatter(self.y.reshape(-1), self.d.reshape(-1), marker="+", color="blue", label="Matched peaks") - ax.plot(x_range, predicted_x,color="red",linestyle='-',label="Calibration curve") + x_range = np.linspace(self.y.min(), self.y.max(), 100) + predicted_x = self(x_range.reshape(-1, 1)) + + ax.plot(x_range, predicted_x, color="red", linestyle='-', label="Calibration curve") ax.set_xlabel("Ne peaks, nm") ax.set_ylabel("Reference peaks, nm") ax.grid(which='both', linestyle='--', linewidth=0.5, color='gray') @@ -976,5 +974,5 @@ def plot(self,ax): def __str__(self): return ( f"Calibration curve {len(self.y)} points) {self.kernel}" - + ) diff --git a/tests/protocols/test_calibrationmodel.py b/tests/protocols/test_calibrationmodel.py index 79bca1de..340d1420 100644 --- a/tests/protocols/test_calibrationmodel.py +++ b/tests/protocols/test_calibrationmodel.py @@ -14,6 +14,7 @@ from sklearn.metrics.pairwise import cosine_similarity import traceback + class SetupModule: def __init__(self): self.laser_wl = 785 @@ -22,29 +23,29 @@ def __init__(self): _device = "BWtek" _wl_str = str(self.laser_wl) self.si_profile = "Pearson4" - #self.si_profile = "Gaussian" + # self.si_profile = "Gaussian" self.spe_neon = rc2.spectrum.from_test_spe( - sample=["Neon"], provider=[_provider], device =[_device], OP=[_optical_path], laser_wl=[_wl_str] + sample=["Neon"], provider=[_provider], device=[_device], OP=[_optical_path], laser_wl=[_wl_str] ) self.spe_pst2 = rc2.spectrum.from_test_spe( - sample=["PST"], provider=[_provider], device =[_device], OP=[_optical_path], laser_wl=[_wl_str] + sample=["PST"], provider=[_provider], device=[_device], OP=[_optical_path], laser_wl=[_wl_str] ) self.spe_pst3 = rc2.spectrum.from_test_spe( - sample=["PST"], provider=[_provider], device =[_device], OP=["020"], laser_wl=[_wl_str] + sample=["PST"], provider=[_provider], device=[_device], OP=["020"], laser_wl=[_wl_str] ) self.spe_sil = rc2.spectrum.from_test_spe( - sample=["S0B"], provider=[_provider], device =[_device], OP=[_optical_path], laser_wl=[_wl_str] + sample=["S0B"], provider=[_provider], device=[_device], OP=[_optical_path], laser_wl=[_wl_str] ) self.spe_sil2 = rc2.spectrum.from_test_spe( - sample=["S0B"], provider=[_provider], device =[_device], OP=[_optical_path], laser_wl=[_wl_str] + sample=["S0B"], provider=[_provider], device=[_device], OP=[_optical_path], laser_wl=[_wl_str] ) self.spe_nCal = rc2.spectrum.from_test_spe( - sample=["nCAL"], provider=[_provider], device =[_device], OP=[_optical_path], laser_wl=[_wl_str] + sample=["nCAL"], provider=[_provider], device=[_device], OP=[_optical_path], laser_wl=[_wl_str] ) self.spe_SRM2241 = rc2.spectrum.from_test_spe( - sample=["NIST785_SRM2241"], provider=[_provider], device =[_device], OP=[_optical_path], laser_wl=[_wl_str] + sample=["NIST785_SRM2241"], provider=[_provider], device=[_device], OP=[_optical_path], laser_wl=[_wl_str] ) # NIR785_EL0-9002 @@ -64,9 +65,9 @@ def __init__(self): self.spe_sil2 = self.spe_sil2.subtract_baseline_rc1_snip(**kwargs) # don't normalize , it makes the Pearson4 fit worse! - #self.spe_neon = self.spe_neon.normalize() - #self.spe_sil = self.spe_sil.normalize() - #self.spe_sil2 = self.spe_sil2.normalize() + # self.spe_neon = self.spe_neon.normalize() + # self.spe_sil = self.spe_sil.normalize() + # self.spe_sil2 = self.spe_sil2.normalize() fit_peaks = True @@ -80,19 +81,19 @@ def __init__(self): find_kw={"wlen": 200, "width": 1}, fit_peaks_kw={}, should_fit=fit_peaks, - match_method = "cluster", + match_method="cluster", si_profile=self.si_profile ) assert len(self.calmodel.components) == 2 - #print(self.calmodel.components[0]) - #print(self.calmodel.components[1]) + # print(self.calmodel.components[0]) + # print(self.calmodel.components[1]) # print(self.calmodel.components[1].profile, self.calmodel.components[1].peaks) except Exception as _err: self.calmodel = None + print(_err) traceback.print_exc() - @pytest.fixture(scope="module") def setup_module(): return SetupModule() @@ -108,48 +109,40 @@ def test_laser_zeroing(setup_module): setup_module.spe_sil.plot(label="Si original", ax=ax) spe_sil_calib.plot(ax=ax, label="Si laser zeroed", fmt=":") plt.grid() - ax.set_xlim(si_peak-50,si_peak+50) - - + ax.set_xlim(si_peak-50, si_peak+50) _units = setup_module.calmodel.components[1].model_units if _units == "cm-1": _units = rf"$\mathrm{{[cm^{-1}]}}$" assert _units == "nm" ax.set_xlabel(_units) - #print(setup_module.calmodel.components[1].model) - - spe_test = spe_sil_calib #.trim_axes(method='x-axis',boundaries=(si_peak-50,si_peak+50)) - - find_kw={"wlen": 200, "width": 1, "sharpening" : None} - + spe_test = spe_sil_calib # .trim_axes(method='x-axis',boundaries=(si_peak-50,si_peak+50)) + find_kw = {"wlen": 200, "width": 1, "sharpening": None} find_kw["prominence"] = spe_test.y_noise_MAD() * setup_module.calmodel.prominence_coeff cand = spe_test.find_peak_multipeak(**find_kw) fit_kw = {} - fitres = spe_test.fit_peak_multimodel(profile=setup_module.si_profile,candidates=cand, **fit_kw ,no_fit=False) - fitres.plot(ax=axpeak,label="fit res") - spe_test.plot(ax=axpeak,label="Si laser zeroed", fmt=":") + fitres = spe_test.fit_peak_multimodel(profile=setup_module.si_profile, candidates=cand, **fit_kw, no_fit=False) + fitres.plot(ax=axpeak, label="fit res") + spe_test.plot(ax=axpeak, label="Si laser zeroed", fmt=":") - axpeak.set_xlim(si_peak-50,si_peak+50) + axpeak.set_xlim(si_peak-50, si_peak+50) # let's look at the peak before laser zeroing spe_test_necalibrated_only = setup_module.calmodel.components[0].process(spe_test) setup_module.calmodel.components[1].fit_res.plot(ax=axsifit) - si_peak_nm = setup_module.calmodel.components[1].model - axsifit.set_xlim(si_peak_nm-5,si_peak_nm+5) - spe_test_necalibrated_only.plot(ax=axsifit,label="Si (Ne calibrated only)", fmt=":") + si_peak_nm = setup_module.calmodel.components[1].model + axsifit.set_xlim(si_peak_nm-5, si_peak_nm+5) + spe_test_necalibrated_only.plot(ax=axsifit, label="Si (Ne calibrated only)", fmt=":") - df = fitres.to_dataframe_peaks().sort_values(by="height",ascending=False) + df = fitres.to_dataframe_peaks().sort_values(by="height", ascending=False) print(df.iloc[0]["center"]) - print(df.sort_values(by="amplitude",ascending=False).head()) + print(df.sort_values(by="amplitude", ascending=False).head()) plt.grid() plt.tight_layout() plt.savefig("test_calmodel_{}.png".format("laser_zeroing")) difference = abs(df.iloc[0]["center"] - si_peak) - assert difference < 1E-2 , f"Si peak found at {df.iloc[0]['center']}" - - + assert difference < 1E-2, f"Si peak found at {df.iloc[0]['center']}" def resample(spe, xmin, xmax, npoints): From 988a4bcc25cbe654bb2431e8541997f967385b09 Mon Sep 17 00:00:00 2001 From: vedina Date: Wed, 30 Oct 2024 23:29:11 +0200 Subject: [PATCH 07/38] demo notebook updated --- examples/publication/demo.ipynb | 970 ++++++++++++++++++++++++++++++-- 1 file changed, 913 insertions(+), 57 deletions(-) diff --git a/examples/publication/demo.ipynb b/examples/publication/demo.ipynb index 3cb6557b..cec25697 100644 --- a/examples/publication/demo.ipynb +++ b/examples/publication/demo.ipynb @@ -155,7 +155,8 @@ " neon_wl=neon_wl,\n", " find_kw={\"wlen\": 200, \"width\": 1},\n", " fit_peaks_kw={},\n", - " should_fit=fit_neon_peaks\n", + " should_fit=fit_neon_peaks,\n", + " match_method=\"cluster\" # \"assignment\"\n", " )\n", " assert len(calmodel.components) == 2\n", " print(type(calmodel.components[0]),calmodel.components[0])\n", @@ -168,12 +169,22 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "text/plain": [ + "[]" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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TunVroqKi3BOBwsJC1q1bx+HDh6lTpw433XQTM2bMoLi4mJYtW9KsWTNWrVoFQL9+/Th27BgHDx7EZrMxduxYZs+eTWFhIc2aNaN169YsW7YMgD59+pCVlcXevXsBGDt2LPPmzcPhcNC4cWM6duzI4sWLAejVqxd5eXns3LkTgNGjR7NkyRJyc3Np2LCh6b5HtG3bloiIiEv6HnHs2DFmzpwp3yM8+B6xdu1agEv6HgEY9j2i7M9aJTV8N7rKOG8JxNq1a3VAP378eLmvGzNmjH7zzTfruq7rr7/+ut66desKz9WgQQP9ww8/1HVd16+55hr9/vvvL/f5nTt36oC+a9euSsdSUFCg2+1290fZj9traglE2bKHC33UlLIlELqu68XFxXqjRo30xo0b68XFxbqu6+WWQGRlZemAvnr1avfvX7NmTbn/344dO6YD+qZNm8q9Tmxs7B8ugTj3/3td1/WwsDD9iy++0HVd1//+97/rbdq00YuKiir9/adPn9b9/PzKLYHIycnRAwMDq7QEomy5jK7r+qJFi8otgWjUqJH+yiuvXPA5/vGPf+gtW7Ys99g999yjh4WFlXudLl266Hl5eXq/fv30K6+8Us/Nzb3gc06YMEHv1KnTBT9/Mcy+BCIjI0P1ECxJuqsh3dWQ7moY2d0rlkBER0cDcOLEiXKPnzhxwv256Oho94/JyxQXF5OTk1Puayp7jnNf43z+/v6EhoaW+6hJeXmlH+cO88QJyMjI47wNLWqMj48Pu3fvZteuXZUeBFGvXj3q16/PJ598woEDB1ixYgVPPvlkua+JiooiICDA/Sa1sruRL7/8Mm+//Tbvvfce+/fvZ8uWLbz//vtVHtsjjzxCTk4O48aNY+PGjRw8eJDFixdz9913U1JSQnBwMPfccw9PP/00K1asYMeOHdx1111VOv63bt263HnnnWzbto01a9bwl7/8hVGjRrmvjYkTJzJ58mTee+899u3bR3JyMl988QXvvPMOAK1atSItLY1p06Zx8OBB3nvvPffdpPMFBQUxf/58fH19ufbaa9136B9//HEWL15MSkoKW7ZsYeXKlbRr167KfbzBuUtKhHGkuxrSXQ3proZZu5t2AtyiRQuio6NZvny5+7Hc3FzWr19PfHw8UHo7/NSpU+5b/wArVqzA5XK514PGx8ezevXqcttSLV26lDZt2lS6/EGFoKDfPs59zNe3sNxjNe33Jvs2m41p06axefNmOnbsyBNPPMFbb71V7mt8fX157733+M9//kOjRo3cm1/feeedvPvuu3z44Yd06NCB4cOHV9jO7vc0atSItWvXUlJSwuDBg+nUqROPP/444eHh7knuW2+9xVVXXcX111/PoEGD6Nu3L927d//D577ssssYNWoUw4YNY/DgwXTu3Jk33njD/fl7772Xzz77jC+++IJOnTrxpz/9iS+//NK9rOaGG27giSee4NFHH+Xyyy9n3bp1vPDCCxd8veDgYBYuXIiu61x33XU4HA5KSkp45JFHaNeuHUOHDqV169YVtlrzdocPH1Y9BEuS7mpIdzWkuxqm7V7zN6Qv7PTp0/rWrVv1rVu36oD+zjvv6Fu3btUPHz6s67quv/HGG3p4eLg+d+5cffv27fqIESP0Fi1alPsx7tChQ/WuXbvq69ev1xMTE/VWrVrp48aNc3/+1KlTesOGDfXbb79d37Fjhz5t2jQ9MDBQ/89//lPlcaraBSInJ+eSn1NcWNnShPN5Y3ezL4GYOXOm6iFYknRXQ7qrId3VMLK7J0sgNF3XdVWT71WrVjFgwIAKj9955518+eWX6LrOSy+9xCeffMKpU6fo27cvH374Ybk95XJycnj00Uf58ccfsdls3HTTTbz33nvl9lHdvn07jzzyCBs3biQyMpLHHnuMv/3tb1UeZ25uLmFhYdjt9gp3SAsKCkhJSaFFixaG7dsrqsfLL7/MnDlzav3RzVUh16kQQghv93vztfMpXQLRv39/dF2v8PHll18CoGkar7zyChkZGRQUFLBs2bIKGypHRETw3Xffcfr0aex2O59//nmFQwQ6d+7MmjVrKCgo4OjRox5NflUq25FAGEu6G6/snfXCWNJdDemuhnQ3XrrdyeTPZ5Fud6oeSgWmXQMsSo+CFjXn5ZdfrvTur3Q3XnFxseohWJJ0V0O6qyHdjZWwMY0+b6zgP/vq0ueNFSRsvPCZASrIBNjE/P39VQ/BkqS78Vq2bKl6CJYk3dWQ7mpId+Ok2508OzsZ19n7SS4d/j57h6nuBMsE2MTOPb1OGEe6G69Zs2aqh2BJ0l0N6a6GdDfO0l0n3JPfMiW6TmpWvpoBVUImwCZ2+vRp1UOwJOluvLJTr4SxpLsa0l0N6W6MxP1ZTFqwu8LjPppGbGSgghFVzrRHIQshhBBCiNoh3e5k+saj/HvFfopcOq2igjn4ax4uvXTyO2lUR2LCAlQP000mwCYWEhKiegiWJN2N169fP9VDsCTproZ0V0O615yEjWlMmJVM2aqHjo1CmfVwb3IcZ9i05zA92jY31eQXZAmEqZ17ep0wjnQ33rFjx1QPwZKkuxrSXQ3pXjPS7c5yk1+AXem55DjOEBMWQEMt13STX5AJsKkVFBSoHkKVfPnll4SHh7t//fLLL3P55Ze7f33XXXcxcuRIQ8cUGxvLu+++e1G/t7Z09yZmPSve20l3NaS7GtK9+um6zpRFezh/81CXjvsNb2btLhNgE9M0rcZfIyMjg8cee4yWLVvi7+9P06ZNuf7661m+fPlFP+df//rXS/r9njh/8l1m48aN3H///Rf1nEZ0F+XZbPKtSAXproZ0V0O6Vy+XS+elH3by/dbjFT537hvezNpd1gCbWERERI0+f2pqKn369CE8PJy33nqLTp06UVRUxOLFi3nkkUfYs2fPRT1vcHBwhdP4PHXmzJlL2o6sQYMGF/17a7r77ykqKsLPz0/Z66syduxY1UOwJOmuhnRXQ7pXj3S7kwOZeXyTdJglu06gaTCiSyN+3JZOia5XeMObWbubc1ouADh58mSNPv/DDz+Mpmls2LCBm266idatW9OhQweefPJJfv75Z/fXvfPOO3Tq1ImgoCCaNm3Kww8/TF5e3gWf9/wlEGUmTpxIgwYNCA0N5cEHH+TMmTPuz/Xv359HH32Uxx9/nMjISIYMGfKHr71q1Sruvvtu7HY7mqahaRovv/wyUHEJRFpaGiNGjCA4OJjQ0FBuvvlmTpw4UWHM33zzDc2aNSMsLIxbbrnlD7dEW7t2Lf379ycwMJB69eoxZMgQ9/9vlS3DuPzyy91jhNK7zR999BE33HADQUFBvPrqqzRp0oSPPvqo3O/bunUrNpuNw4cPA3Dq1Cnuvfded8+rr76abdu2/e5YzWz27Nmqh2BJ0l0N6a6GdL90Zae73f7fDSzZdQKbBu+OvZx3b+lK4oQBTL3vShInDGDsFb/tuWzW7jIBrgm6Dg7HJX+4Tp/2/PdV8RjfnJwcFi1axCOPPEJQUFCFz5+7rMBms/Hee++xc+dOvvrqK1asWMEzzzzjUZLly5eze/duVq1axdSpU5k9ezYTJ04s9zVfffUVderUYe3atXz88cd/+Nq9e/fm3XffJTQ0lPT0dNLT0/nrX/9a4bVdLhcjRowgJyeHn376iaVLl3Lo0KEKfys9ePAgc+bM4bvvvmPevHn89NNPvPHGGxf8M/3yyy8MHDiQ9u3bk5SURGJiItdffz0lJSUetXn55Ze58cYbSU5O5t5772XcuHF899135b7m22+/pU+fPjRv3hyAMWPGkJmZycKFC9m8eTPdunVj4MCB5OTkePTaZlFYWKh6CJYk3dWQ7mpI90tz/uluZXq2KP2paUxYAPFx9Su84c2s3WUJRE3Iz4dLXAIAUP9iflNeHlQyoT3fgQMH0HWdtm3b/uHXPv744+7/HRsby2uvvcaDDz7Ihx9+WOVh1alTh88//5zAwEA6dOjAK6+8wtNPP82rr77qXh/UqlUrpkyZUuXXrlOnDmFhYWiaRnR09AVfe/ny5SQnJ5OSkkLTpk0B+Prrr+nQoQMbN27kiiuuAEonyl9++SWaphEcHMztt9/O8uXLef311yt93ilTptCjR49yHTp06FDlJmVuvfVW7r77bvevx48fz9tvv01aWhrNmjXD5XIxbdo0nn/+eQASExPZsGEDmZmZ7mOb//GPfzBnzhxmzpx50WufVZITmtSQ7mpIdzWk+6X5Je1Uhclv2Zvdfm+XB7N2lzvAFqVX8U4xwLJlyxg4cCCNGzcmJCSE22+/nezsbPLzq36kYZcuXQgM/O0EmPj4ePLy8jhy5Ij7se7du9fIa+/evZumTZu6J78A7du3Jzw8nN27fzutJjY2lpCQEPekMiYmhszMzAs+b9kd4EvVo0ePcr++/PLLadeunfsu8E8//URmZiZjxowBYNu2beTl5VG/fn33euvg4GBSUlJM+27bP9K6dWvVQ7Ak6a6GdFdDul+8Izn5F326m1m7ywS4JgQGlt6JvcSP7MOHPf99gVU7ZrBVq1ZomvaHb3RLTU1l+PDhdO7cmVmzZrF582Y++OADgHJreKvD+UsxjHxtwP3ms9zcXKB0fa7L5brg1wcE/P6+hjabrcJfNCrbY7iyJSjjx493T4C/++47hg4dSv36pT8TyMvLIyYmhl9++aXcx969e3n66ad/d0xmtWzZMtVDsCTproZ0V0O6X5z9J04z5uMkjpx0Eh7gh+3sRklVPd3NrN1lCURN0LQqLUP4QwUF1fM8lYiIiGDIkCF88MEH/OUvf6kwCTt16hTh4eFs3rwZl8vF22+/7V6qMH36dI9fb9u2bTidTvek8eeffyY4OLjcXdnzVeW169Sp84drbtu1a8eRI0c4cuSI+/V27drFqVOnaN++vcd/ljKdO3dm+fLlFdYyl2nQoAHp6enuX+fm5pKSklKl57711lt5/vnn2bx5MzNnznSviQbo1q0bGRkZ+Pr6Ehsbe9HjF0IIIS4k3e5k2a4TvLV4L7kFxbSKCuabe3qho5OalU9sZKApD7ioKrkDbGKXupXYH/nggw8oKSmhZ8+ezJo1i/3797N7927ee+894uPjAbjssssoKiri/fff59ChQ3zzzTflJmNVdebMGe655x527drFggULeOmll3j00Ud/d3/Aqrx2bGwseXl5LF++nKysrEqXRgwaNIhOnToxfvx4tmzZwoYNG7jjjjv405/+VGH5AVS9+7PPPsvGjRt5+OGH2b59O3v27OGjjz4iKysLgKuvvppvvvmGNWvWkJyczJ133omPj0+Vnjs2NpbevXtzzz33UFJSwg033FDuzxMfH8/IkSNZsmQJqamprFu3jueee45NmzZV6fnNpk+fPqqHYEnSXQ3proZ0r7qEjWn0fmMFL8zdSW5BMU3qBTD9gXiiw+pe8M1uF2LW7jIBNrHi4uIaff6WLVuyZcsWBgwYwFNPPUXHjh255pprWL58uXsbri5duvDOO+/w5ptv0rFjR7799lsmT57s8WsNHDiQVq1a0a9fP8aOHcsNN9xQbjuwylTltXv37s2DDz7I2LFjadCgQYU30UHpUoa5c+dSr149+vXrx6BBg2jZsiUJCQmVvm5Vu7du3ZolS5awbds2evbsSXx8PHPnzsXXt/QHK88++yx/+tOfGD58ONdddx0jR44kLi6uSs8Npcsgtm3bxo033lhuuYWmaSxYsIB+/fpx991307p1a2655RYOHz5Mw4YNq/z8ZlL2lwZhLOmuhnRXQ7pXjfto43NW8B0/5aSg2LMdjsqYtbume/JuKIvKzc0lLCwMu91OaGhouc8VFBSQkpJCixYtqFu3brW+bnZ2tnvdpzCON3avyeu0OkydOpVx48apHoblSHc1pLsa0r1qXp23k/8mplZ4fOp9VxIf5/l/G43s/nvztfPJGmAhhBBCCIvTdZ0PVh6odPJbld0eahu5A1wFqu4A67qOpmnV+pzij3ljd7PfAXa5XKY9L96bSXc1pLsa0r1y6XYnhzIdzN12jOmbjgJwdZsoftqXSYn+224P557u5gkju3tyB1iuBBOz2+2qh2BJ0t148+bNUz0ES5Luakh3NaR7RWVHG4//73r35PfF4e35/O4rSJxwdaVHG3vKrN1lCYSJeXqkrqge0t14DodD9RAsSbqrId3VkO7lVXa0sabBtZ1KT1aNCQuolm3OzNpd7gCbWJ06dVQPwZKku/EaN26segiWJN3VkO5qSPfydhy1VzjaWD97tHF1Mmt3mQBXk5pYSv1HJ42JmuGN3c2+1L9jx46qh2BJ0l0N6a6GdP9Nut3J6xd5tLGnzNpdJsCXqOz43MoOYLhUshZVDW/sXnZ9ll2vZrN48WLVQ7Ak6a6GdFdDupdOfGduPsKNH6wjNTuf0Lq+Hh9t7Cmzdpc1wJfIx8eH8PBwMjMzAQgMDKy2HQTOnDlDQUFBtTyXqDpv6q7rOvn5+WRmZhIeHl7lk+iEEEJ4l4SNaUyY/dsBF5HBdZjzSB98bJpXHG3sKZkAV4Po6NIF42WT4OpSXFzMqVOnqvU5xR/zxu7h4eHu69SMevXqpXoIliTd1ZDuali5e7rdWW7yC5DjOIOPTau2N7tdiFm7ywS4GmiaRkxMDFFRURQVFVXb8+7du5cWLVpU2/OJqvG27n5+fqa/85uXl6d6CJYk3dWQ7mpYufu3Px/m/LeCuM6+4a2m7/qatbtMgKuRj49PtU40du3aRZcuXart+UTVSHfj7dy5k86dO6sehuVIdzWkuxpW7f7ZmkP8e+XBCo8bdbqbWbvLBFgIIYQQwouk252k/Opg/o50vv05DYA+l9Xn54PZ5U53s9Ka3/PJUchV4MnRetWpqKjItO/a92bS3XjSXA3proZ0V8Mq3RM2plU44OJvQ9vy4J9akpFbYPgb3ozsLkche4klS5aoHoIlSXfjSXM1pLsa0l0NK3S/0OluI7s2Kn2/UlgA8XH1Db3za9buMgE2sdzcXNVDsCTpbjxproZ0V0O6q2GF7tuOnDLkdDdPmLW7TIBNrGHDhqqHYEnS3XjSXA3proZ0V8Pbux/OdvDavF0VHjfqzW4XYtbusga4ClStAc7NzTX09UQp6W48aa6GdFdDuqvhjd3T7U5SshwUFJXw9IztZDvOUC/QD7uzCNc5b3Ybe0UzZWM0srusAfYS8+fPVz0ES5LuxpPmakh3NaS7Gt7WPWFjGn3eWMGtn67nz19uIttxhvYxoSx+vB9rJ1zN1PuuJHHCAKWTXzBvd9kGTQghhBCiFqnszW4A/7rlcqJC6wJYeouzqpA7wCbWvXt31UOwJOluPGmuhnRXQ7qr4U3dU351VJj8AmTlnTF+MH/ArN1lAmxi1Xmssqg66W48aa6GdFdDuqvhLd2LSlx8t+FwhcdVv9ntQszaXSbAJrZ9+3bVQ7Ak6W48aa6GdFdDuqtR27un250s332C8Z/+zLztGWiU7vEL5j7ZzazdZQ2wEEIIIYSJnX+6m5+Pxse3dad9o1DDT3bzFrINWhWo2gbN6XQSECAXtNGku/GkuRrSXQ3prkZt7Z5ud9L7jRWcO1uzabB2wtW1YtJrZHfZBs1LrF69WvUQLEm6G0+aqyHd1ZDuatTW7nO2HuP8W5Uuxae7ecKs3WUCbGI5OTmqh2BJ0t140lwN6a6GdFejNnb/JimVKYv2VnjcrG94q4xZu8saYBOrX7++6iFYknQ3njRXQ7qrId3VqC3d0+1ODmY6+HHbcRI2HQGgW7N6/HLkZLnT3WrD8gcwb3dZA1wFqtYA5+fnExhYO/6G502ku/GkuRrSXQ3prkZt6H7+m90A/jq4NY8MuIyM3IJa+YY3I7vLGmAvMXfuXNVDsCTpbjxproZ0V0O6q2H27pWd7qZpcFP3JmiaRkxYAPFx9WvV5BfM210mwEIIIYQQii1ITq9wuptei97sVtvIGmATu/zyy1UPwZKku/GkuRrSXQ3proZZu+u6zjc/H2bS/N0VPleb3ux2IWbtLhNgE7PZ5Aa9CtLdeNJcDemuhnRXw2zd0+1O9p04zcxNR/lxezoAXZqEkXzMXivf7HYhZuteRibAJrZlyxbatGmjehiWI92NJ83VkO5qSHc1zNT9/De7acCzw9py31Uta+2b3S7ETN3PJRNgIYQQQogakpkJDRuW/u8TJ6C4Tj4TZiVz7nJfTYPruzRyv9nNGya+ZifboFWBqm3QTp8+TUhIiGGvJ0pJd+NJczWkuxrSXQ1V3TMzodFlTnzrOZj7vca7a3ayO/10ha+bet+VxMeZc8/cS2Fkd9kGzUts2LBB9RAsSbobT5qrId3VkO5qGN09M7P043/r0mj84Aqix63ngek/Vzr59YY3u12IWa93mQCbWGZmpuohWJJ0N540V0O6qyHd1TC6e8OGpXd+31uXjHbObEvX4VRSS3w0DfCeN7tdiFmvd1kDbGJhYWGqh2BJ0t140lwN6a6GdFfD6O6+FHF1twT22hqUe1zToCAlisQfYr3qzW4XYtbrXdYAV4GqNcCFhYX4+/sb9nqilHQ3njRXQ7qrId3VMLK7c/sOnntjNrObda/wOZumMffeAXSK895J77mM7C5rgL3E7NmzVQ/BkqS78aS5GtJdDemuhhHd0+1OZv5vKdd9kMTsZt2xuVwMrFuI7ir9vE3TmDyqo2Umv2De612WQAghhBBCXKKEjWlMmLUdHQ3qNSK4uIBPx3UhrullfHWZE9/wfDauDLTU5NfMZAJsYh07dlQ9BEuS7saT5mpIdzWkuxo12T3d7vxt8ntWvl9dYi9rTFQYFOcGANac+Jr1epclECYWGOidW6KYnXQ3njRXQ7qrId3VqLHuus6/p0wrN/kFcOmQmpVfM69Zi5j1epcJsImZde88byfdjSfN1ZDuakh3NWqku67z0d8/4tuSqAqf8ua9fT1h1utdlkAIIYQQQngg3e4k5VcHqz6ZwSe25gBcU+c0K4pCKdF1r9/b1xvINmhVoGobtFOnThEeHm7Y64lS0t140lwN6a6GdFejuronbEzj2dnJuM6ZPT0ddpJHnr2NdLvTEnv7esLI6122QfMS27ZtUz0ES5LuxpPmakh3NaS7GtXRPd3urDD51dAZ9fBNAMSEBRAfV18mv+cw6/UuE2ATO378uOohWJJ0N540V0O6qyHd1aiO7ilZjnKTXwAdTd7s9jvMer3LBNjEgoODVQ/BkqS78aS5GtJdDemuRnV03z59YYXH5M1uv8+s17usAa4CVWuAS0pK8PHxMez1RCnpbjxproZ0V0O6q3Gp3ed9MJ3H0gLQNRsaOjqa+81uY69oVo0j9S5GXu+yBthLTJ8+XfUQLEm6G0+aqyHd1ZDualxs93S7kw8/+pHHU+ugazZuLT7C2r8NYOp9V5I4YYBMfv+AWa932QZNCCGEEKISpccbJ6NjAx8bXc5k8+qU+/Dx9aFRvSDVwxOXQO4Am1jbtm1VD8GSpLvxpLka0l0N6a6Gp91LjzdO5tx1osn+9cl0nKnegXk5s17vMgE2sYiICNVDsCTpbjxproZ0V0O6q+Fp9w0/7+H8N0nJ8caeM+v1LhNgE1u3bp3qIViSdDeeNFdDuqsh3dXwpHt26jH+8eP2Co/Ljg+eM+v1LhNgIYQQQoizHNmn+POb8zgSHEl4YR42rfRxOd7Yu8g2aFWgahu0rKwsIiMjDXs9UUq6G0+aqyHd1ZDualSle5GzgHuf+i8/hcZSr+A0M8d3IrB1Szne+BIYeb3LNmheYs+ePaqHYEnS3XjSXA3proZ0V+OPuh/PcfDnZ//HT6GxBBQV8Pm1zYi7ooMcb3yJzHq9yzZoJnbkyBHVQ7Ak6W48aa6GdFdDuqvxe90TNqYxYeZ29LoxoOuMbV6XrkN6Gzg672XW613uAJtYQID8bVMF6W48aa6GdFdDuqtxoe6l251tR9fOLvbVNL5J10i3Ow0cnfcy6/Uua4CrQNUaYCGEEELUrHfe/Z73MupUeHzqfVcSH1dfwYjExZI1wF5i2rRpqodgSdLdeNJcDemuhnRXo7LuSbOX89FRrcLjst1Z9THr9S4TYBOTm/NqSHfjSXM1pLsa0l2N87vvWbOF+9dkU+TrR8eCX2W7sxpi1utd3gRnYq1atVI9BEuS7saT5mpIdzWkuxpl3dPtTjZu2s8rP+zmdEA4V9iP8M2bt3FS95HtzmqAWa93mQCbWHR0tOohWJJ0N540V0O6qyHd1YiOjiZhYxrPzk7GpQMB4UQV2PnshVHUDQ0mBmTiWwPMer2bfgnE6dOnefzxx2nevDkBAQH07t2bjRs3uj9/1113oWlauY+hQ4eWe46cnBzGjx9PaGgo4eHh3HPPPeTl5Rn9R/HYmjVrVA/BkqS78aS5GtJdDemuxrzlib9Nfs/KCggjPyhE3aAswKzXu+knwPfeey9Lly7lm2++ITk5mcGDBzNo0CCOHTvm/pqhQ4eSnp7u/pg6dWq55xg/fjw7d+5k6dKlzJs3j9WrV3P//fcb/UcRQgghhCKZ+ZSb/ELpr1Oz8tUMSChl6m3QnE4nISEhzJ07l+uuu879ePfu3bn22mt57bXXuOuuuzh16hRz5syp9Dl2795N+/bt2bhxIz169ABg0aJFDBs2jKNHj9KoUaM/HIeqbdAyMjJM+6MDbybdjSfN1ZDuakh3YzgcEBxc+r/tdhd/ef4TVgU2Lfc1PppG4oQBsvShBhl5vXvNNmjFxcWUlJRQt27dco8HBASQmJjo/vWqVauIioqiTZs2PPTQQ2RnZ7s/l5SURHh4uHvyCzBo0CBsNhvr16+v9HULCwvJzc0t96FCamqqkte1OuluPGmuhnRXQ7obzcXkVz5jVWBTfFzF2Ci97ye7PRjDrNe7qd8EFxISQnx8PK+++irt2rWjYcOGTJ06laSkJC677DKgdPnDqFGjaNGiBQcPHuTvf/871157LUlJSfj4+JCRkUFUVFS55/X19SUiIoKMjIxKX3fy5MlMnDixwuMzZswgMDCQUaNGsXz5cux2O1FRUfTs2ZN58+YB0K1bN1wuF7/88gsAI0aMIDExkezsbCIiIujXr5/7bnXnzp3x8/Nj8+bNAFx33XVs2rSJEydOEBoayqlTp0hJSQGgQ4cOBAcHuyftQ4YMYceOHRw7doygoCCGDx9OQkICAG3atCEyMpK1a9cCpRP+ffv2kZaWhr+/P6NGjSIhIQGXy0VcXByNGzdm9erVAPTv35+0tDQOHTqEr68vY8aMYdasWZw5c4bmzZsTFxfHihUrAOjbty+ZmZns27cPgHHjxjF37lzy8/Np0qQJ7du3Z8mSJQDEx8djt9vZtWsXAGPGjGHRokWcPn2a6OhounXrxoIFCwC44oorKCgoIDk5GYAbb7yRVatWcfLkSSIjI4mPj+fHH38EoGvXrgBs3boVgOuvv56kpCSysrKoV68e/fv35/vvvwegU6dO1K1b172GfNiwYWzZsoWMjAxCQkIYOnQoM2bM4NixYwQEBBAWFkZSUhIAgwcPZteuXRw9epTAwEBGjBjhXmrTunVroqKi3H8pu/rqqzl48CCHDx+mTp063HTTTcyYMYPi4mJatmxJs2bNWLVqFQD9+vXj2LFjHDx4EJvNxtixY5k9ezaFhYU0a9aM1q1bs2zZMgD69OlDVlYWe/fuBWDs2LHMmzcPh8NB48aN6dixI4sXLwagV69e5OXlsXPnTgBGjx7NkiVLyM3NpWHDhvTo0YP58+cDpT9RKSoqYvv27QCMHDmS1atXk5OTQ/369enbty9z584F4PLLL8dms7FlyxYAhg8fzoYNG8jMzCQsLIyBAwcye/ZsADp27EhgYCAbNmwA4Nprr2Xbtm0cP36c4OBghg0bxvTp0wGw2+3ExMSwbt06AK655hr27NnDkSNHCAgIYOTIkUybNg1d12nVqhXR0dHudWUDBgwgNTWVlJQU/Pz8GD16NDNnzqSoqIgWLVoQGxvLypUrAbjqqqvIyMhg//79aJrGLbfcwpw5c3A6nTRt2pS2bduydOlSAHr37k1OTo77HPubb76ZBQsWkJeXR6NGjejSpQsLFy4EoGfPnuTn57Njxw4Aw75HDB48mJkzZwIX9z0iMTGRlJQU+R7h4fcIgPbt21/094jCwkJcLpd8j/Dge0Tbtm2JiIio0veIZs1a0bBhNPNXJjLsLhuujFym+jZG0108WpDMLa8+xVezFhLuc4bmJcfJyKgj3yNqcB5RXFzMsWPHDPkeUfZnrQpTL4EAOHjwIH/+859ZvXo1Pj4+dOvWjdatW7N582Z2795d4esPHTpEXFwcy5YtY+DAgUyaNImvvvrK/Q2hTFRUFBMnTuShhx6q8ByFhYUUFha6f52bm0vTpk0NXwIxc+ZMRo8ebdjriVLS3XjSXA3proZ0r1maBsGd04gYkox2zs+5r9+xiX/Pfwlzz3q8j5HXu9csgQCIi4vjp59+Ii8vjyNHjrBhwwaKiopo2bJlpV/fsmVLIiMjOXDgAFC6/UZmZma5rykuLiYnJ+eCa1L8/f0JDQ0t96GCfINUQ7obT5qrId3VkO41yyfEWWHyi67z0epnlI3Jysx6vZt+AlwmKCiImJgYTp48yeLFixkxYkSlX3f06FGys7OJiYkBSm+Znzp1yv3jAYAVK1bgcrno1auXIWO/WJ7cyhfVR7obT5qrId3VkO41a0mSo/zkF0DTmPj2QmrBDqhex6zXu+knwIsXL2bRokWkpKSwdOlSBgwYQNu2bbn77rvJy8vj6aef5ueffyY1NZXly5czYsQILrvsMoYMGQJAu3btGDp0KPfddx8bNmxg7dq1PProo9xyyy1V2gFCpaKiItVDsCTpbjxproZ0V0O6Vz+Ho3Tpg6bBzrlLKnzepmnUr3OGoCAFg7M4s17vpp8A2+12HnnkEdq2bcsdd9xB3759Wbx4MX5+fvj4+LB9+3ZuuOEGWrduzT333EP37t1Zs2YN/v7+7uf49ttvadu2LQMHDmTYsGH07duXTz75ROGfqmpatGihegiWJN2NJ83VkO5qSPeac22X//F2bhgA2tnFvrpL4+XrOnJ5m1iFI7Mus17vpn8TnBnIPsDWIt2NJ83VkO5qSPfq43CU/vNQhpPH7ptDas/S/0bfXZTG+Cfv4NeCAmIjA4kJC5Duisg+wMJjZduyCGNJd+NJczWkuxrSvfoEB0N07zSu/2S5e/Lb9FA2L7/zAK2aBBEfV9+9z690V8Os3WUCLIQQQohaySfESf2h20sX/56VFlsfn5DC3/ldQsgE2NSuuuoq1UOwJOluPGmuhnRXQ7pXnxcn/Fhu8gug2WBpUn6FHR+kuxpm7S4TYBO70El1omZJd+NJczWkuxrS/eKdu9vDd+8k8Lm94jHGNk2jbZPACjs+SHc1zNpdJsAmtn//ftVDsCTpbjxproZ0V0O6X7pBHabz3IlA0Gz0LvoV29mbwGU7PpSt+z2XdFfDrN19VQ9AXJh23o91hDGku/GkuRrSXQ3p7rlzd3uIv2oB++MDQLNxa34Kf3/tIU7rZ0jNynfv+FAZ6a6GWbvLNmhVoGobNCGEEEKULnkI7pxW7g1vTdOyWDv1NnR8kJmMANkGzWvMmTNH9RAsSbobT5qrId3VkO6eq3S3hyaR2ELOVPk5pLsaZu0uE2ATczqdqodgSdLdeNJcDemuhnT33EsT5lV5t4cLke5qmLW7TIBNrGnTpqqHYEnS3XjSXA3proZ098y3//gf/80NrPD4hXZ7uBDproZZu8ub4Eysbdu2qodgSdLdeNJcDemuhnT/Y+l2JylZDjYmLOKfufUA6FOcTZJffVz62d0ebqh8t4cLke5qmLW73AE2saVLl6oegiVJd+NJczWkuxrS/fclbEyjzxsruPXT9e7J7wMlh/nflNtYO+Fqpt53JT8/N4A7+jbz6Hmluxpm7S53gIUQQghhCul2J8/OTsZ1zq4OGjp3/v1ONJuNmLAAj+76CnEhcgfYxHr37q16CJYk3Y0nzdWQ7mpI9wtL+dVRbvILoKNxOKfgkp9buqth1u4yATaxnJwc1UOwJOluPGmuhnRXQ7pXTne5WPrZ9xUe99E0YiMrvgnOU9JdDbN2lwmwie3Zs0f1ECxJuhtPmqsh3dWQ7hXpLhdvPfsfvqARULrsAUonv5NGefZmtwuR7mqYtbusARZCCCGEMsdPOpg0aRrzfErf1PZCWDbDHh7zh0cbC3Ep5CjkKlB1FHJJSQk+Pj6GvZ4oJd2NJ83VkO5qSPffTNtwmGdnJaOfPeTihiAH771wc428lnRXw8juchSyl1iwYIHqIViSdDeeNFdDuqsh3UsdP+koN/kFmJ8fTLq9Zk4Ok+5qmLW7TIBNLK+q5zuKaiXdjSfN1ZDuakh3QNf55+Sp5Sa/ACW6TmpWfo28pHRXw6zdZQJsYo0aNVI9BEuS7saT5mpIdzWkO3z+4sfMsMVUeLy6dnyojHRXw6zdZQJsYl26dFE9BEuS7saT5mpIdzWs3n36pM95paj0DW+D/PPwOXsXuDp3fKiM1burYtbuMgE2sYULF6oegiVJd+NJczWkuxpW6+5wgKaBb6iTtyYl8LdTkQDc63uCT1++mcQJA5h635UkThjA2Cs8O97YE1brbhZm7S7boAkhhBCiRgV3TqP+0GQ+yA0GG1zhOsVzr9yFpmlyvLFQQu4Am1jPnj1VD8GSpLvxpLka0l0Nq3TPzCy98xsW46T+0GQ45/1um33CyThdaOh4rNLdbMzaXSbAJpafXzPvhBW/T7obT5qrId3VsEr3hg1L/xnWOq3c5BfApVNjuz1ciFW6m41Zu8sE2MR27NihegiWJN2NJ83VkO5qeHt3h6P0A6BOoxwirtpd4Wt0V83t9nAh3t7drMzaXSbAQgghhKgWDgcEB5d+1Gl4kuZj1lDk70fL7CPgKv0am6bx6g01t9uDEFUhRyFXgaqjkAsLC/H39zfs9UQp6W48aa6GdFfDm7s7HKVrfsNjjxA5IJmCgLpccWQnDWYE8Ende/ENzyclOVDJ5Nebu5uZkd3lKGQvsXz5ctVDsCTpbjxproZ0V8Mbu5e94S26dxpNHlxB8LD9FATUpcmpDOrOjOKjoscoOR1A2qb6yu78emP32sCs3WUbNBOz2+2qh2BJ0t140lwN6a6GN3Zv2BB8QpzUH5Jc7tba0dBofva/mrwcCApSNz7wzu61gVm7ywTYxKKiolQPwZKku/GkuRrSXQ1v6l72ZjeA6OhDFX+ubAPf8HxA/Xpfb+pem5i1uyyBMDGz7p3n7aS78aS5GtJdDW/qXvaGt4g6J2h5VVKFz9s0jZ3rA5Xf/QXv6l6bmLW7TIBNbN68eaqHYEnS3XjSXA3proa3dQ/ytdPzplmkNYghsNDp3u1Bd2lMHtWRuBj1d3/B+7rXFmbtLksghBBCCHFR9hw6xYS3Z7A1uDlBhfmUfHcZR51t8Q3PZ+PKQDrFmWPyK8T5ZAJsYt26dVM9BEuS7saT5mpIdzW8pfvUnw/z7PfJENwIdB19a332ZnYlLw+Cgsw38fWW7rWNWbvLEggTc7lcqodgSdLdeNJcDemuhjd0T7c7+fv3yaV7nwFoGo6eBfiEONUO7Hd4Q/fayKzdZQJsYr/88ovqIViSdDeeNFdDuqvhDd0/+udM9LLJ71maTWfN1nxTvOGtMt7QvTYya3eZAAshhBCiyhb+ZyZfO8MrPO6jacRGBho/ICEughyFXAWqjkLOz88nMFC+mRhNuhtPmqsh3dWozd03fL+C29baOeNbhyuLs9noV58SvXTyO2lUR8Ze0Uz1EC+oNnevzYzsLkche4nExETVQ7Ak6W48aa6GdFejNnZPtzuZ+cPP3PNTFmd863BN3mG+nXwriROuZup9V5I4YYCpJ79QO7t7A7N2l10gTCw7O1v1ECxJuhtPmqsh3dWobd0TNqbx7OxkXDpQN4hmzpO8N+kOfPx8iQnzJSbMfDs+VKa2dfcWZu0ud4BNLCIiQvUQLEm6G0+aqyHd1ahN3dPtzt8mv2cdDazHKd1H3aAuUm3q7k3M2l0mwCbWr18/1UOwJOluPGmuhnRXozZ1P3D8VLnJL4BLh9SsfDUDugS1qbs3MWt3mQCb2Jw5c1QPwZKku/GkuRrSXY3a0l13uZjxn7kVHq+tuz3Ulu7exqzdZQIshBBCiAo+fPm//FC3KZrLhY3S28Bluz3UlnW/QlyIvAnOxDp37qx6CJYk3Y0nzdWQ7mrUhu5zP5jOW2caATCx/kmueXAMqVn5xEYG1trJb23o7o3M2l0mwCbm5+enegiWJN2NJ83VkO5qmLl7ut3Jgu8TeSOlDvjCfa4j3PG3BwFq7cS3jJm7ezOzdpclECa2efNm1UOwJOluPGmuhnRXw6zdEzam0WfyCl7dc4YiXz86FWTx7KT7VA+r2pi1u7cza3eZAAshhBAW597u7JzHdgZEcsJxRtmYhKhJchRyFag6Cjk3N9fQ1xOlpLvxpLka0l0NM3Zf+Usad09LrvD41PuuJD6uvoIRVT8zdrcCI7vLUcheYtOmTaqHYEnS3XjSXA3probZupcUFfP5ZwsqPF5btzu7ELN1twqzdpcJsImdOHFC9RAsSbobT5qrId3VMFv3V5/9hDXBTfEpKXZPCrxxuzOzdbcKs3aXXSBMTH5Uo4Z0N540V0O6q2GW7ul2Jx/+azbf+DYH4L3Liul2y+Bav93ZhZilu9WYtbusAa4CVWuAi4qKTLt9iDeT7saT5mpIdzXM0D1hYxoTZm1HRwNgmJ+dD1+9VemYapoZuluRkd1lDbCXmDlzpuohWJJ0N540V0O6q6G6e7rdyYRZye7JL8Di4jDS7U6Fo6p5qrtblVm7ywRYCCGEsJCfk3Zz/o9+S3RIzcpXMh4hVJAJsIl16NBB9RAsSbobT5qrId3VUNk950gG78yvuN2Zt+34UBm53tUwa3eZAJtYcHCw6iFYknQ3njRXQ7qroap7wWkH902ey5GgSMIL8rCdXQHhjTs+VEaudzXM2l0mwCa2fv161UOwJOluPGmuhnRXQ0V3V3EJT/z9KzaHNiG00MGMMa1ZO+Fqpt53JYkTBjD2imaGj8locr2rYdbusg2aEEII4cXS7U5efX0qC4OaU6e4iE/6RtCqT1cAr7/rK8SFyDZoVaBqG7ScnBwiIiIMez1RSrobT5qrId3VMLL7+dud3VKvkDf+NsqQ1zYbud7VMLK7bIPmJXbs2KF6CJYk3Y0nzdWQ7moY1b10u7Pt5bY7m3Gqrtdvd3Yhcr2rYdbuMgE2sWPHjqkegiVJd+NJczWkuxpGdV/4w7pyk1+AEl237HZncr2rYdbuMgE2saCgINVDsCTpbjxproZ0V8OI7vvWbeOdLTkVHrfCdmcXIte7GmbtLmuAq0DVGmCXy4XNJn9HMZp0N540V0O6q1HT3dP3pjLq34mkB9WjeX4OR4IicOm/bXdmhR0fKiPXuxpGdpc1wF4iISFB9RAsSbobT5qrId3VqKnu6XYnSzcdYvz7K0kPqkfc6RPMeXqQ5bY7uxC53tUwa3fZBk0IIYSo5RI2pvHs7GRcOhAcRUhhPl890Id6TWMA2e5MiPPJHWATa9OmjeohWJJ0N540V0O6q1Hd3dPtzt8mv2c5/APxaW7du72VketdDbN2lwmwiUVGRqoegiVJd+NJczWkuxrV3T0lM6/c5BfABZbd7eFC5HpXw6zdZQJsYmvXrlU9BEuS7saT5mpIdzWqu/uiL3+s8JiVd3u4ELne1TBrd5kACyGEELXUp5O+5uuShgBolN4GLtvtQdb9CnFhsg1aFajaBu3XX3+lQYMGhr2eKCXdjSfN1ZDualxq93S7k5QsBzt+XMmkjNK7vM/4HuXGp+8gNSuf2MhAmfxWQq53NYzs7sl8TXaBMLF9+/bJv6wKSHfjSXM1pLsal9K93G4PegBocH9xKg9NegjNZpOJ7++Q610Ns3aXJRAmlpaWpnoIliTdjSfN1ZDualxs9wq7PWgamq5z19/vQpMDHv6QXO9qmLW7/BtjYv7+/qqHYEnS3XjSXA3prsbFdk/JclTY7UHXNA6fLKiGUXk/ud7VMGt3WQNcBarWAAshhBBlFs9ZwwNJdtA092M+mkbihAGy9EEI5Chkr2HW4wO9nXQ3njRXQ7qrcTHdtyzbwFOrT5ROfnXZ7eFiyPWuhlm7y5vgTMzlcqkegiVJd+NJczWkuxqedE+3O1m2ZDNvJGXgqBNA/MlUJv19NBnFvrLbg4fkelfDrN1lAmxicXFxqodgSdLdeNJcDemuRlW7J2xMY8Ks5NLdfesE0CI/m/++No7ABhG0qNEReie53tUwa3dZAmFijRs3Vj0ES5LuxpPmakh3NarSPd3u/G3ye9bhoPrY68gd34sl17saZu0uE2ATW716teohWJJ0N540V0O6q1GV7j/OWcf571B36ZCalV8zg7IAud7VMGt3mQALIYQQJjLv6wVM2ZFX4XEfTSM2MlDBiITwPrIG2MT69++vegiWJN2NJ83VkO5qVNa97HjjLfPW8PZxX3QfXzrln2BnUENcuuz4UB3kelfDrN1Nfwf49OnTPP744zRv3pyAgAB69+7Nxo0b3Z/XdZ0XX3yRmJgYAgICGDRoEPv37y/3HDk5OYwfP57Q0FDCw8O55557yMur+LdrszHr6SneTrobT5qrId3VOL97wsY0+ryxgls/Xc8/0uugazZuy93LnCnjWTvhaqbedyWJEwYw9opmikbsHeR6V8Os3U0/Ab733ntZunQp33zzDcnJyQwePJhBgwZx7NgxAKZMmcJ7773Hxx9/zPr16wkKCmLIkCEUFPx2Ms748ePZuXMnS5cuZd68eaxevZr7779f1R+pyg4dOqR6CJYk3Y0nzdWQ7mqc273C8caApus8/Or9+NT1JyYsgPi4+nLntxrI9a6GWbubegLsdDqZNWsWU6ZMoV+/flx22WW8/PLLXHbZZXz00Ufous67777L888/z4gRI+jcuTNff/01x48fZ86cOQDs3r2bRYsW8dlnn9GrVy/69u3L+++/z7Rp0zh+/LjaP+Af8PWVFSoqSHfjSXM1pLtxHI7SMyw0Db7/3heHo/TxeWv2VH688alC4wfp5eR6V8Os3U09AS4uLqakpIS6deuWezwgIIDExERSUlLIyMhg0KBB7s+FhYXRq1cvkpKSAEhKSiI8PJwePXq4v2bQoEHYbDbWr19f6esWFhaSm5tb7kOFMWPGKHldq5PuxpPmakh34/mEOPlh/QAO/prL39+czeuJFW/EyJvdaoZc72qYtbs5p+VnhYSEEB8fz6uvvkq7du1o2LAhU6dOJSkpicsuu4yMjAwAGjZsWO73NWzY0P25jIwMoqKiyn3e19eXiIgI99ecb/LkyUycOLHC4zNmzCAwMJBRo0axfPly7HY7UVFR9OzZk3nz5gHQrVs3XC4Xv/zyCwAjRowgMTGR7OxsIiIi6Nevn/vudOfOnfHz82Pz5s0AXHfddWzatIkTJ04QGhpKfn4+xcXFAHTo0IHg4GD3pH3IkCHs2LGDY8eOERQUxPDhw93HDbZp04bIyEjWrl0LlE749+3bR1paGv7+/owaNYqEhARcLhdxcXE0btzYvU1J//79SUtL49ChQ/j6+jJmzBhmzZrFmTNnaN68OXFxcaxYsQKAvn37kpmZyb59+wAYN24cc+fOJT8/nyZNmtC+fXuWLFkCQHx8PHa7nV27dgGl/0IsWrSI06dPEx0dTbdu3ViwYAEAV1xxBQUFBSQnJwNw4403smrVKk6ePElkZCTx8fH8+OOPAHTt2hWArVu3AnD99deTlJREVlYW9erVo3///nz//fcAdOrUibp167rXkA8bNowtW7aQkZFBSEgIQ4cOZcaMGaSnpzNw4EDCwsLcf5EaPHgwu3bt4ujRowQGBjJixAimTp0KQOvWrYmKiiIxMRGAq6++moMHD3L48GHq1KnDTTfdxIwZMyguLqZly5Y0a9aMVatWAdCvXz+OHTvGwYMHsdlsjB07ltmzZ1NYWEizZs1o3bo1y5YtA6BPnz5kZWWxd+9eAMaOHcu8efNwOBw0btyYjh07snjxYgB69epFXl4eO3fuBGD06NEsWbKE3NxcGjZsSI8ePZg/fz4A3bt3p6ioiO3btwMwcuRIVq9eTU5ODvXr16dv377MnTsXgMsvvxybzcaWLVsAGD58OBs2bCAzM5OwsDAGDhzI7NmzAejYsSOBgYFs2LABgGuvvZZt27Zx/PhxgoODGTZsGNOnTwfA4XBwzTXXsG7dOgCuueYa9uzZw5EjRwgICGDkyJFMmzYNXddp1aoV0dHRrFmzBoABAwaQmppKSkoKfn5+jB49mpkzZ1JUVESLFi2IjY1l5cqVAFx11VVkZGSwf/9+NE3jlltuYc6cOTidTpo2bUrbtm1ZunQpAL179yYnJ4c9e/YAcPPNN7NgwQLy8vJo1KgRXbp0YeHChQD07NmT/Px8duzYAWDY94jBgwczc+ZM4OK+R8ycOZOYmBj5HuHh9wiA9u3bV+l7REkJNGnSmoCAKK6+dz0HI+qCpnHDRzpo/qX/vuaksiGiOToaNg2eubopqxbMke8R53yPaNu2LREREZf0PWLdunU0a9ZMvkcYPI+w2UrvtRrxPaLsz1oVmq7r5281aCoHDx7kz3/+M6tXr8bHx4du3brRunVrNm/ezH//+1/69OnD8ePHiYmJcf+em2++GU3TSEhIYNKkSXz11VfubwhloqKimDhxIg899FCF1ywsLKSw8LcfP+Xm5tK0aVPsdjuhoaE194c9z9SpUxk3bpxhrydKSXfjSXM1pHvN0zSwUcJfQt5mzoPt0G3n/OBV1+k7J5X/7XyQdEcRqVn5crxxDZLrXQ0ju+fm5hIWFlal+Zqpl0BA6RF6P/30E3l5eRw5coQNGzZQVFREy5YtiY6OBuDEiRPlfs+JEyfcn4uOjiYzM7Pc54uLi8nJyXF/zfn8/f0JDQ0t96FC8+bNlbyu1Ul340lzNaR7zUq3O4lutp8PGt1J1tDC8pNfAE1jpnMc+PrKm90MINe7GmbtbvoJcJmgoCBiYmI4efIkixcvZsSIEbRo0YLo6GiWL1/u/rrc3FzWr19PfHw8UHrL/NSpU+4fDwCsWLECl8tFr169DP9zeMKs52d7O+luPGmuhnSvOQkb0+gzeQX+4/bxxm23sKZltwpfY9M0dq6Xtb5GketdDbN2N/0EePHixSxatIiUlBSWLl3KgAEDaNu2LXfffTeapvH444/z2muv8cMPP5CcnMwdd9xBo0aNGDlyJADt2rVj6NCh3HfffWzYsIG1a9fy6KOPcsstt9CoUSO1f7g/ULZGRhhLuhtPmqsh3WtGut3JhFnJuMoe0DQA7Bubo7tK/7dN05g8qiNxMXLH1yhyvath1u6mfhMcgN1u59lnn+Xo0aNERERw00038frrr+Pn5wfAM888g8Ph4P777+fUqVP07duXRYsWlds54ttvv+XRRx9l4MCB2Gw2brrpJt577z1VfyQhhBBebNkP66jszTXO/TGc3hjHkJt+5L1J18vkVwiFTP8mODPwZFF1dTpy5AhNmzY17PVEKeluPGmuhnSvfik/beDG2Yc4FRBS7nEfTSNxwgBiwgKkuyLSXQ0ju3vVm+Cs7Pw37wljSHfjSXM1pHv1+nXbLu5I2MmpgBAaFdixla52wEfTmDSqo/sNbtJdDemuhlm7ywTYxMr2xRPGku7Gk+ZqSPfqkW53smL9fm77aC1HQqNolp/D3GcGs3bC1Uy970oSJwxg7BXN3F8v3dWQ7mqYtbvp1wALIYQQZpWwMY1nZyeXHmcc3oigogK+ergfDRpFAsi2ZkKYlKwBrgJVa4CFEEKYV7rdSZ83VpROfs+yAWufvVomvkIoIGuAvUTZ0ZLCWNLdeNJcDel+cRyO0p3NWnR2lJv8AriA1Kz83/390l0N6a6GWbvLBNjE8vN//5uoqBnS3XjSXA3pfml6NVpZ4TEfTSM28vcPt5Duakh3NczaXdYAm1iTJk1UD8GSpLvxpLka0t0zDsdv/+zRahlp/Ur3m9d0HV3TKuz2cCHSXQ3proZZu8sE2MTat2+vegiWJN2NJ83VkO6eCQ4u/WerxlvRxp5G1+rQa+teZic9gE94ASnJgVVa+yvd1ZDuapi1uyyBMLElS5aoHoIlSXfjSXM1pLtnfEKcNOu4Fb+bDlDoV4fu+/fxw9IHKD4dROGR+lV+45t0V0O6q2HW7nIHWAghhPgDCRvTaPZwMi7AQSAxJ7NY/cM4DmcEERSkenRCCE/JBNjE4uPjVQ/BkqS78aS5GtK9atLtztK9fs957HhYJCcDwggKwuMJsHRXQ7qrYdbusgTCxOx2u+ohWJJ0N540V0O6V822nUcqbHem2cA3/OLe3S7d1ZDuapi1u0yATWzXrl2qh2BJ0t140lwN6f7Hsg6n8+Z36yo87qNppCQHXtTyB+muhnRXw6zdZQmEEEIIcZ50u5NtO4/w5nfrSAluQGihg7y6Qbh0qrzdmRDCvOQo5CpQdRRycXExvr7ydxSjSXfjSXM1pHvlEjamla75Pftfx9DCPOaOa0fdNq1IzconNrJq251diHRXQ7qrYWR3OQrZSyxatEj1ECxJuhtPmqsh3ctzOMA31MkzM5LLrfnNqxtM3TatiAkLID6u6tudXYh0V0O6q2HW7jIBNrHTp0+rHoIlSXfjSXM1pHtFDWIOo533X0aXDqlZ1Xecq3RXQ7qrYdbuMgE2sejoaNVDsCTpbjxproZ0L73rq2mlH3s3pdG8//oKX+OjacRGBlbba0p3NaS7GmbtLhNgE+vWrZvqIViSdDeeNFdDuv8mJiSVx75dQUa9SELz8yjb9Fd3Vf8b3qS7GtJdDbN2lwmwiS1YsED1ECxJuhtPmqth5e4OR+nHoQwnTdok0+TWNRyLaED0qSzyvurM0Y+vJuO7Kzn28QDGXtGsWl/byt1Vku5qmLX7Rb0tr6CggO3bt5OZmYnL5Sr3uRtuuKFaBiaEEELUlOBgCO6cRsSQZHxGQiYRhDlOkzH1Sg7ntuHECQgKkm3OhPBWHk+AFy1axB133EFWVlaFz2maRklJSbUMTMAVV1yhegiWJN2NJ83VsHJ3nxAn9Yckl/s56KmAEI7ppXd7L+aI46qycneVpLsaZu3u8RKIxx57jDFjxpCeno7L5Sr3IZPf6lVQUKB6CJYk3Y0nzdWwcveP/pVU4b+Al3K8sSes3F0l6a6GWbt7PAE+ceIETz75JA0bNqyJ8YhzJCcnqx6CJUl340lzNazafennc3lr56kKj9vOHm+s6zV39xes21016a6GWbt7PAEePXo0q1atqoGhCCGEEDUj3e5k3cEsPnzjfzywR+OMrz9tC7KxaaWf110aL18nxxsLYRUeH4Wcn5/PmDFjaNCgAZ06dcLPz6/c5//yl79U6wDNQNVRyAUFBdStW9ew1xOlpLvxpLkaVul+/tHGAGMLUnn9zfv4taCkWo439oRVupuNdFfDyO41ehTy1KlTWbJkCbNmzeL999/nn//8p/vj3Xffvdgxi0rInXY1pLvxpLkaVuiebndWmPxq6PzfS3fh61+n2o439oQVupuRdFfDrN093gXiueeeY+LEiUyYMAGbTbYRrkknT55UPQRLku7Gk+ZqWKH7oXR7uckvgI7G4ZwCGtWrwYW+v8MK3c1Iuqth1u4ez2DPnDnD2LFjZfJrgMjISNVDsCTpbjxproa3d3c5C5jx7rQKj1f30cae8vbuZiXd1TBrd49nsXfeeScJCQk1MRZxnvj4eNVDsCTpbjxproY3d9fz83nxsXeZE94KdBdn3+uGj1b9Rxt7ypu7m5l0V8Os3T2eAJeUlDBlyhT+9Kc/8dhjj/Hkk0+W+xDV58cff1Q9BEuS7saT5mp4W3eHA3xDnQQ2P8FTj3/E/yI7oeku3u7oz7pnr2bqfVeSOKH6jzb2lLd1ry2kuxpm7e7xGuDk5GS6du0KwI4dO8p9TtO0yn6LEEIIUeNmbU2j8YPJaDaYTVvQXUzpHMBN4wcByBZnQgg3jyfAK1eurIlxiEqU/UVDGEu6G0+aq+Et3TMzodFlTvfkt4ymaXS7uo+6gV2At3SvbaS7GmbtLu9kE0IIUas1bAi+9RzlJr9QuttDh141f7SxEKL28XgC7HA4eOGFF+jduzeXXXYZLVu2LPchqs/WrVtVD8GSpLvxpLkatb27w1H6ARBSfBrOO9dJd2kUn1K328OF1PbutZV0V8Os3T1eAnHvvffy008/cfvttxMTEyPrfoUQQigRHFz6T5tvEW0G/8RRrUHpJFjT0F0ar97QkZteknW/QoiKPD4KOTw8nPnz59Onj/nWVdUUVUch5+XlEVz2HV4YRrobT5qrUdu7l95/0Rkw7BsOdapPhMNOwcxWHPJrSfGpQIpzzTn5re3dayvproaR3Wv0KOR69eoRERFx0YMTVZeUlKR6CJYk3Y0nzdWo7d0PHHfy0r8WcahTfWyuEpr94GJ3xhUUHqnP8QPmnPxC7e9eW0l3Ncza3eMJ8KuvvsqLL75Ifr68saCmZWVlqR6CJUl340lzNWpz94SNaQz61wq+PO4CoPW+DOam3UZeXukqiKgoxQP8HbW5e20m3dUwa3eP1wC//fbbHDx4kIYNGxIbG4ufn1+5z2/ZsqXaBmd19erVUz0ES5LuxpPmatTW7ul2J8/OSubc9Xu7WzfGJ8QJmPfOb5na2r22k+5qmLW7xxPgkSNH1sAwRGX69++vegiWJN2NJ83VqK3dN2zaj+u8xzQbrNmaT1CQ+SfAtbV7bSfd1TBrd48nwC+99FJNjENU4vvvv2fcuHGqh2E50t140lyN2tj90I6DvP5DMgSEl3vcR9OIjTTflmeVqY3dvYF0V8Os3eUgDCGEELXC3o27uPnTDWQGhBOVfwrb2V04fTSNSaM6ylHHQogq8/gOsDBOp06dVA/BkqS78aS5GrWle7rdycoVv/DmT2nYA0Jpd+oo3/zfIIoaNSI1K5/YyMBaNfmtLd29jXRXw6zdZQJsYnXr1lU9BEuS7saT5mrUhu4JG9OYUPaGt7rBNMnPYeqE6wiPbQJQqya+ZWpDd28k3dUwa3dZAmFiGzduVD0ES5LuxpPmapixu8NResCFpsHBdOdvk9+zjgdF4KxXX9n4qoMZu1uBdFfDrN1lAiyEEMKUZv9vAecfVerSITVL9qEXQlwaj49C/j2vvPIKAwYM4KqrrqqupzQFVUch2+12wsLCDHs9UUq6G0+aq2Gm7g7Hb/9s2BCGX/4lyYPrl+5vdg4fTSNxwoBaufShjJm6W4l0V8PI7jV6FPLv+eKLLxgyZAjXX399dT6tZcmhImpId+NJczXM1D04GMJinDS74leG/ekzkoc0AM1Gk8PZ6Gc3/fWW3R7M1N1KpLsaZu1erW+CS0lJwel0snLlyup8WsvKyMhQPQRLku7Gk+ZqmKG7w1E6+Q3unEbEkGQ0G+wkBoDOa4/zY+I9+IQUsmZr7dvt4ULM0N2KpLsaZu1e7btABAQEMGzYsOp+WksKCQlRPQRLku7Gk+ZqmKW7T4jTPfl103Ve//I2pkbbgIBaccJbVZmlu9VIdzXM2t3jNcCLFi0iODiYvn37AvDBBx/w6aef0r59ez744APTnvl8KVStAS4uLsbXV3aqM5p0N540V0Nl93PX/Da7IovocesrfM0Xt1/JgA61e8eHysj1roZ0V8PI7jW6Bvjpp58mNzcXgOTkZJ566imGDRtGSkoKTz755MWNWFRqxowZqodgSdLdeNJcDZXdg4NLPxo2hGFNp1f4vO7SaBZRO4429pRc72pIdzXM2t3jKXlKSgrt27cHYNasWQwfPpxJkyaxZcsWWfoghBDCIze1/4xNfZuX/kLXQdPQXRpTxnQkLsZ7lj0IIczF4wlwnTp1yM8v3YNx2bJl3HHHHQBERES47wyL6lH2Fw1hLOluPGmuhsruB447mf/1D/wrqwEArTdm8Y//jCG70EmziECvnvzK9a6GdFfDrN09ngD37duXJ598kj59+rBhwwYSEhIA2LdvH02aNKn2AVqZ7FeohnQ3njRXw8juZbs9QOmOD5HXbkcnGHyg4TE7S1fcTlyMjc5B3rns4Vxyvash3dUwa3eP1wD/+9//xtfXl5kzZ/LRRx/RuHFjABYuXMjQoUOrfYBWlpSUpHoIliTdjSfN1VDR3SfESf0h29HR3I9lxIThE1Jo+FhUketdDemuhlm7e3wHuFmzZsybN6/C4//85z9xOp3VMighhBDeweH47QOg+2UrOGHTyn2NZoM1W/O9aqszIYS5eXwH+C9/+UuljzscDnkTXDUbPHiw6iFYknQ3njRXo6a7ly17aNgQWraEG5t+Te6fKt4o8dE0YiO9f+lDGbne1ZDuapi1u8cT4Pnz5/PSSy+Ve8zhcDB06FCKi4urbWACdu3apXoIliTdjSfN1TCqu4aLh1u8wc4xwTj9A2iQZXcfb6y7vON4Y0/I9a6GdFfDrN09XgKxZMkSrrrqKurVq8fjjz/O6dOnGTJkCL6+vixcuLAmxmhZR48eVT0ES5LuxpPmatRU93MPuagTksedHf/J4j6dKPbxo8mBU6ydM5b1W4vIPpNP60beveNDZeR6V0O6q2HW7h5PgOPi4li0aBEDBgzAZrMxdepU/P39mT9/PkFBQTUxRssKDLTOjwTNRLobT5qrUVPdz93tIeah7SzRugEQlF7M2u/HgctGh5a+ll3zK9e7GtJdDbN29/go5DJJSUlcc8019OrVi3nz5hEQ4L3fyFQdhSyEELWRppXu9tDkoeWlvzhLd8Gxj6+m5HQAeXkg90yEENWp2o9C7tq1K926dSv38cgjj+Dv78/x48fp06eP+3FRfaZOnap6CJYk3Y0nzdWoqe55efDp5zvKTX6hdLeHpUn56Lq1J79yvash3dUwa/cqLYEYOXJkDQ9DCCGEt8g5lc17aw+Bf3C5x300jbZNzPnjUCGEtVRpAnz+rg/CGK1bt1Y9BEuS7saT5mrURPdTpxzc+dZCTtatR0xeNscD66PZwKZZb7eHC5HrXQ3proZZu3v8JjhhnKioKNVDsCTpbjxprkZ1dk+3O9l73M4//7OIQ3UbEHM6i+9vbIl+RQ9Ss/KJjQyUye9Zcr2rId3VMGt3j/cBLikp4R//+Ac9e/YkOjqaiIiIch+i+iQmJqoegiVJd+NJczUupbvDUbrEV9MgpEsafd5YwV1fbWZb3Qb4FxXy5YAoogddRUxYAPFx9WXyew653tWQ7mqYtbvHE+CJEyfyzjvvMHbsWOx2O08++SSjRo3CZrPx8ssv18AQhRBCmJVPiJP6Q5JxnbOfUJFfHUKv6a9sTEII8Uc8ngB/++23fPrppzz11FP4+voybtw4PvvsM1588UV+/vnnmhijZV199dWqh2BJ0t140lyNi+nucEBmZulHJ+0XbrnyvQr/JXGhkZqVX02j9D5yvash3dUwa3ePJ8AZGRl06tQJgODgYOx2OwDDhw9n/vz51Ts6izt48KDqIViSdDeeNFfjYroHB0Ojy5zcPWYG9f/8M4ndOlb4Gh9NIzZSdnu4ELne1ZDuapi1u8cT4CZNmpCeng6Ungq3ZMkSADZu3Ii/v3/1js7iDh8+rHoIliTdjSfN1biY7sFdU2jy0HJSBwWSEtmUOmeKsCUHo7tKP6+7ZLeHPyLXuxrSXQ2zdvd4F4gbb7yR5cuX06tXLx577DFuu+02/vvf/5KWlsYTTzxRE2O0rDp16qgegiVJd+NJczU87X486zT1r9lZ7oCLQl8/jq3pybo3IPtMPq0bBRIXI5Pf3yPXuxrSXQ2zdr/oo5DLJCUlkZSURKtWrbj++uura1ymIkchCyEE/H3Cp3xHowqPZ3x3Jdm761v6dDchhHrVfhTy74mPj+fJJ5/02smvSjNmzFA9BEuS7saT5mp40n39t/OY5mpY4XHdpVF8Stb7ekKudzWkuxpm7X5RE+BvvvmGPn360KhRI/fajnfffZe5c+dW6+Csrri4WPUQLEm6G0+aq1HV7pm7D/Doejsumw+Xl5zC5+wKCB9NY8qYjhTnBsjdXw/I9a6GdFfDrN09XgP80Ucf8eKLL/L444/z+uuvU1JSAkB4eDjvvvsuI0aMqPZBWlXLli1VD8GSpLvxpLkav9fd4Sjd8cFPK+DG+xbza71YWudl8t0bt2AvQU53uwRyvash3dUwa3eP7wC///77fPrppzz33HP4+Pi4H+/RowfJycnVOjira9asmeohWJJ0N540V+OPuvuEOBkw/BvW14sl6IyTj+7tTWBwgJzudonkeldDuqth1u4eT4BTUlLo2rVrhcf9/f1xOBzVMihRatWqVaqHYEnS3XjSXI3KujscpR/f/ZxGk4eWs7d96Zverm9Ul+hWbQweoXeS610N6a6GWbt7PAFu0aIFv/zyS4XHFy1aRLt27apjTEIIIRQJDoawGCevL04ut93Z1EwbYTFOhSMTQojq4/Ea4CeffJJHHnmEgoICdF1nw4YNTJ06lcmTJ/PZZ5/VxBgtq1+/fqqHYEnS3XjSXI0Lda/X6GiF2yOaTcc3PB+QZQ+XSq53NaS7Gmbt7vEd4HvvvZc333yT559/nvz8fG699VY++ugj/vWvf3HLLbfUxBgt69ixY6qHYEnS3XjSXI3Kup/IcNJlSFKFx22axs71st1ZdZDrXQ3proZZu1/UNmjjx49n//795OXlkZGRwdGjR7nnnnuqe2yWZ9bzs72ddDeeNFfj/O5FxSX89Y3vOBBQn6DCfDh7vLFN05g8qqOc8FZN5HpXQ7qrYdbuHi+BKJOZmcnevXsB0DSNBg0aVNugRCmb7ZLPKREXQbobT5qrUdY93e4k5VcH3302n9X+0QQUFfDl5YHEP3Y1vuH57FwvxxtXJ7ne1ZDuapi1u8dHIZ8+fZqHH36YqVOn4nKV3h7w8fFh7NixfPDBB4SFhVXb4EpKSnj55Zf53//+R0ZGBo0aNeKuu+7i+eefRzv75oy77rqLr776qtzvGzJkCIsWLXL/Oicnh8cee4wff/wRm83GTTfdxL/+9S+Cg4OrNA45ClkI4a0SNqbx7OxkXGf/S6C5XHzW+BQD/+92tQMTQggP1ehRyPfeey/r169n/vz5nDp1ilOnTjFv3jw2bdrEAw88cNGDrsybb77JRx99xL///W92797Nm2++yZQpU3j//ffLfd3QoUNJT093f0ydOrXc58ePH8/OnTtZunQp8+bNY/Xq1dx///3VOtaaMHv2bNVDsCTpbjxpbqzMzNINHq4fO7vc5BcAm0b7u0YrG5sVyPWuhnRXw6zdPV4CMW/ePBYvXkzfvn3djw0ZMoRPP/2UoUOHVuvg1q1bx4gRI7juuusAiI2NZerUqWzYsKHc1/n7+xMdHV3pc+zevZtFixaxceNGevToAZQe5jFs2DD+8Y9/0KhRo2odc3UqLCxUPQRLku7Gk+ZqFAcW4dL9yz2mo5GalS+HXNQgud7VkO5qmLW7x3eA69evX+kyh7CwMOrVq1ctgyrTu3dvli9fzr59+wDYtm0biYmJXHvtteW+btWqVURFRdGmTRseeughsrOz3Z9LSkoiPDzcPfkFGDRoEDabjfXr11f6uoWFheTm5pb7UMGsp6d4O+luPGlujMzM0o9ff4XgBr+SVbeowtf4aBqxkbLbQ02S610N6a6GWbt7fAf4+eef58knn+Sbb75x33XNyMjg6aef5oUXXqjWwU2YMIHc3Fzatm2Lj48PJSUlvP7664wfP979NUOHDmXUqFG0aNGCgwcP8ve//51rr72WpKQkfHx8yMjIICoqqtzz+vr6EhERQUZGRqWvO3nyZCZOnFjh8RkzZhAYGMioUaNYvnw5drudqKgoevbsybx58wDo1q0bLpfLfVjIiBEjSExMJDs7m4iICPr168ecOXMA6Ny5M35+fmzevBmA6667jk2bNnHixAlCQ0Pp2rWrezlHhw4dCA4Odk/ahwwZwo4dOzh27BhBQUEMHz6chIQEANq0aUNkZCRr164FSif8+/btIy0tDX9/f0aNGkVCQgIul4u4uDgaN27M6tWrAejfvz9paWkcOnQIX19fxowZw6xZszhz5gzNmzcnLi6OFStWANC3b18yMzPdf0EZN24cc+fOJT8/nyZNmtC+fXuWLFkCQHx8PHa7nV27dgEwZswYFi1axOnTp4mOjqZbt24sWLAAgCuuuIKCggL30do33ngjq1at4uTJk0RGRhIfH8+PP/4I4D6VcOvWrQBcf/31JCUlkZWVRb169ejfvz/ff/89AJ06daJu3bps3LgRgGHDhrFlyxYyMjIICQlh6NChzJgxgzNnzhAcHExYWBhJSaXbQQ0ePJhdu3Zx9OhRAgMDGTFihPv/m9atWxMVFUViYiIAV199NQcPHuTw4cPUqVOHm266iRkzZlBcXEzLli1p1qyZ+2Scfv36cezYMQ4ePIjNZmPs2LHMnj2bwsJCmjVrRuvWrVm2bBkAffr0ISsry/3m07FjxzJv3jwcDgeNGzemY8eOLF68GIBevXqRl5fHzp07ARg9ejRLliwhNzeXhg0b0qNHD+bPnw9A9+7dKSoqYvv27QCMHDmS1atXk5OTQ/369enbty9z584F4PLLL8dms7FlyxYAhg8fzoYNG8jMzCQsLIyBAwe6f9zVsWNHAgMD3T+xufbaa9m2bRvHjx8nODiYYcOGMX36dAAaN27M4cOHWbduHQDXXHMNe/bs4ciRIwQEBDBy5EimTZuGruu0atWK6Oho1qxZA8CAAQNITU0lJSUFPz8/Ro8ezcyZMykqKqJFixbExsaycuVKAK666ioyMjLYv38/mqZxyy23MGfOHJxOJ02bNqVt27YsXboUKP0LeE5ODnv27AHg5ptvZsGCBeTl5dGoUSO6dOnCwoULAejZsyf5+fns2LEDwLDvEYMHD2bmzJlA1b5HPP54AgU+GpkOG9G3+/GrXz1CC/LIrRMENg0NnZtii4gJC5DvEb/zPQKgffv2F/09omvXrqxbt06+R3jwPaJt27ZERERc0veIAwcOkJ6eLt8jDJ5H9O/f37DvEWV/1qrw+E1wXbt25cCBA+5/+QB3kFatWpX72rJ/AS7WtGnTePrpp3nrrbfo0KEDv/zyC48//jjvvPMOd955Z6W/59ChQ8TFxbFs2TIGDhzIpEmT+Oqrr9zfEMpERUUxceJEHnrooQrPUVhYWO6WfW5uLk2bNjX8TXBTp05l3Lhxhr2eKCXdjSfNjVG/2z5CrtnnPuHtsqw09O9a8JPvn/ANzyclOVCWPhhArnc1pLsaRnb35E1wHt8BHjly5MWOy2NPP/00EyZMcB+w0alTJw4fPszkyZMvOAFu2bIlkZGRHDhwgIEDBxIdHU1mZma5rykuLiYnJ+eC64b9/f3x9/ev9HNCCFEbHfn1dLnJL8CB+k35atWfaBcbAAQQVX2b+AghhKl5PAF+6aWXamIclcrPz6+wf5yPj497+7XKHD16lOzsbGJiYoDSW+anTp1i8+bNdO/eHYAVK1bgcrno1atXzQ2+GvTp00f1ECxJuhtPmtcMhwNKd3vUueuvs8EnsvwXaBr5PvlERcldXyPJ9a6GdFfDrN3NuTvxWddffz2vv/468+fPJzU1le+//5533nmHG2+8EYC8vDyefvppfv75Z1JTU1m+fDkjRozgsssuY8iQIQC0a9eOoUOHct9997FhwwbWrl3Lo48+yi233GLqHSAAsrKyVA/BkqS78aR5zerXcxYrfSLh/BVvOjQJlze8GU2udzWkuxpm7W7qCfD777/P6NGjefjhh2nXrh1//etfeeCBB3j11VeB0rvB27dv54YbbqB169bcc889dO/enTVr1pRbwvDtt9/Stm1bBg4cyLBhw+jbty+ffPKJqj9WlZ2/blkYQ7obT5pXL4fjt49ObdZweEDpHd7r9CxsZ5dA+Ggao5o66RQnd3+NJte7GtJdDbN2v+ijkI0QEhLCu+++y7vvvlvp5wMCAtzvaP09ERERfPfdd9U8OiGEMKfgYPAJcdLssu34XpcF1KHf5h18tOyv2ELOsGZrPrGRgaxaMEf1UIUQQgmPd4GwIlVHIbtcLtOeoe3NpLvxpHn1CumSRsSQZLSzSZufSGfrV2M4rZe+y63su750V0O6qyHd1TCye40ehVzmzJkz7N27l+Li4ot9CvEHyvYEFMaS7saT5tUn3e6kwbW/TX4BUhvEsHZ/HfLyIC/vt8eluxrSXQ3proZZu3s8Ac7Pz+eee+4hMDCQDh06kJaWBsBjjz3GG2+8Ue0DtDKHw6F6CJYk3Y0nzavPth2HOX+fHM0GWQX5BAVBUNBvj0t3NaS7GtJdDbN293gC/Oyzz7Jt2zZWrVpF3bp13Y8PGjTIfYKIqB6NGzdWPQRLku7Gk+bV49eDR3hjalKFx3WXRrOIirs9SHc1pLsa0l0Ns3b3+E1wc+bMISEhgSuvvBLtnA3VO3TowMGDB6t1cFbXsWNH1UOwJOluPGl+6TL3H+bWfy4jNTSa0EIHeXWDcOmluz1MGtORuJiKuz1IdzWkuxrSXQ2zdvf4DvCvv/5KVFRUhccdDke5CbG4dFXZ4UJUP+luPGnuOYej9FA331An3y/Zyeh/reRAaDQxjpP8cHsn1k64mqn3XUnihAGMvaJZpc8h3dWQ7mpIdzXM2t3jCXCPHj2YP3+++9dlk97PPvuM+Pj46huZEEKI3xXcOY3GD67giRWppAU3ILwwj4T7ehLbrR0xYQHEx9UnJkz2+RVCiPN5vARi0qRJXHvttezatYvi4mL+9a9/sWvXLtatW8dPP/1UE2O0LLMf1eytpLvxpHnVlb2f5FCGs9xWZwC5dYPxa960ys8l3dWQ7mpIdzXM2t3jO8B9+/bll19+obi4mE6dOrFkyRKioqJISkqie/fuNTFGy8o7d78iYRjpbjxpXnXBwaUfV13za7nJL4BLh9Ss/Co/l3RXQ7qrId3VMGv3i9oHOC4ujk8//ZQNGzawa9cu/ve//9GpU6fqHpvl7dy5U/UQLEm6G0+ae8ZXK+TKKyruram7NGIjK+72cCHSXQ3proZ0V8Os3T2eAC9YsKDSBc2LFy9m4cKF1TIoIYQQlTud6+LJRz9lT4vm+JQUU7bpr03TePWGjrLmVwghqsDjo5A7d+7MG2+8wbBhw8o9vmjRIv72t7+xbdu2ah2gGag6CrmoqAg/Pz/DXk+Uku7Gk+Z/LN3uJCXLwYovf+CzooZouotmc3TWpl/D0qR82jYJ9HjyK93VkO5qSHc1jOxeo0ch79+/n/bt21d4vG3bthw4cMDTpxO/Y8mSJaqHYEnS3XjSvHKZmaVbnYV0SaPPGyu49dP1fFbUEIAXQk+yet8NlJwOoGfsxe32IN3VkO5qSHc1zNrd4wlwWFgYhw4dqvD4gQMHCDr3jE1xyXJzc1UPwZKku/Gk+YX5hJTu9uA652d1mq5z7aNj0HXQ9fLHG3tCuqsh3dWQ7mqYtbvHE+ARI0bw+OOPlzv17cCBAzz11FPccMMN1To4q2vYsKHqIViSdDeeNC8vM7P049dfoW7kyQq7Peia5tFuDxci3dWQ7mpIdzXM2t3jNcB2u52hQ4eyadMmmjRpAsDRo0e56qqrmD17NuHh4TUxTqVUrQHOzc019PVEKeluPGlenm+oE996DsL0U8QOSeJE/Yhyn/fRNBInDLjkN7xJdzWkuxrSXQ0ju9foGuCwsDDWrVvH/Pnzefjhh3nqqadYvnw5K1as8MrJr0rnnrgnjCPdjSfNf5OwsfR0t+hx6wkYt4cT9SMILnBQtgZCd2lMGlU9uz1IdzWkuxrSXQ2zdvf4JDgoPf548ODBDB48uLrHI4QQlpVud/Ls7HNOd9M00HVKvovjq3ntyffJp0l4IJ3iZKszIYS4FBc1AV6+fDnLly8nMzMTl8tV7nOff/55tQxMICfrKSLdjSfNSx04drLcm90A0DRS6sbSLjaAqKjqnfhKdzWkuxrSXQ2zdvd4Ajxx4kReeeUVevToQUxMDJqm1cS4BKV75wnjSXfjSXNwnSniuw9mQ0iLco/rLo3iU1U/3c0T0l0N6a6GdFfDrN09ngB//PHHfPnll9x+++01MR5xju3bt9OhQwfVw7Ac6W48qzfXi4t55Yn3WRjSBs3lQrPZcFH6ZrdJYzoydkrNLHmwendVpLsa0l0Ns3b3eAJ85swZevfuXRNjEUII69F13n7qPb4MaQPAO23gytFXk5qVT2yk56e7CSGE+GMeb4P2t7/9jeDgYF544YWaGpPpqNoGzel0EhAg//EzmnQ3nlWbp9udvP/mVL5zle6T+WqzM9z+8I2Gvb5Vu6sm3dWQ7moY2b1Gt0ErKCjgnXfe4U9/+hOPPfYYTz75ZLkPUX1Wr16tegiWJN2NZ8XmCRvT6D15uXvyOzQo39DJL1izuxlIdzWkuxpm7e7xEojt27dz+eWXA7Bjx45yn5M3xFWvnJwc1UOwJOluPKs1T7c7mTBrOzq/fc9cmh9Eut1p6JIHq3U3C+muhnRXw6zdPZ4Ar1y5sibGISpRv3591UOwJOluPKs1XzwvqdzkF6BE10nNyjd0Amy17mYh3dWQ7mqYtbvHa4DLHDhwgIMHD9KvXz8CAgLQdd1r7wCrWgOcn59PYGDNbH8kLky6G89KzQ9t3MGN3+7EXje43OPVdbyxJ6zU3UykuxrSXQ0ju9foGuDs7GwGDhxI69atGTZsGOnp6QDcc889PPXUUxc3YlGpuXPnqh6CJUl343lzc4ej9EA3TYPDO49x51ebsdcNponzJLaz9wx8tOo73tgT3tzdzKS7GtJdDbN293gJxBNPPIGfnx9paWm0a9fO/fjYsWN58sknefvtt6t1gEIIUdv5hDgJbpDJAx8u40hINM3yfmX2U4Moiqgv250JIYQCHk+AlyxZwuLFi2nSpEm5x1u1asXhw4erbWAC95sNhbGku/G8sbnDUfrP735Oo/GDyWg22EM0gUUFfHxzdyJblH4PVTnx9cbutYF0V0O6q2HW7h5PgB0OR6VrOXJycvD396+WQYlSNpvHK1RENZDuxvPG5sHBpXd+yya/ZfJ96tJ5+GUU56obWxlv7F4bSHc1pLsaZu3u8aiuuuoqvv76a/evNU3D5XIxZcoUBgwYUK2Ds7otW7aoHoIlSXfjeWtz33p55Sa/ANjANzxfyXjO563dzU66qyHd1TBrd4/vAE+ZMoWBAweyadMmzpw5wzPPPMPOnTvJyclh7dq1NTFGIYSodU6f1nlt0gKmuSLLPW7TNHaul3eiCyGEShe1DZrdbuff//4327ZtIy8vj27duvHII48QExNTE2NUTtU2aKdPnyYkJMSw1xOlpLvxvLH5P1/5in/ln5386jpoGjZNY/Kojoy9opnawZ3ljd1rA+muhnRXw8juNbYNWlFREQMHDiQzM5PnnnuO6dOns2DBAl577TWvnfyqtGHDBtVDsCTpbjxvaF623ZlvqJNnXp7qnvw+ZzvC0Y8GkvHdlSz9ywDTTH7BO7rXRtJdDemuhlm7ezQB9vPzY/v27TU1FnGezMxM1UOwJOluvNre3OEofdNbcOc0mjy0nOkFpXcehpLNfa8/QHFuAAVp9YmLMddWZ7W9e20l3dWQ7mqYtbvHb4K77bbb+O9//1sTYxHnCQsLUz0ES5LuxqvNzR2O0g+fECf1h24vvQ181hKtPum5BQpH9/tqc/faTLqrId3VMGt3j9cAP/bYY3z99de0atWK7t27ExQUVO7z77zzTrUO0AxUrQEuLCyUreUUkO7Gq63Ny+78gs6QIf9lz+UVl4JNve9K4uPqGz62qqit3Ws76a6GdFfDyO41ehTyjh076NatGyEhIezbt4+tW7e6P3755ZeLHbOoxOzZs1UPwZKku/Fqa/PgYLBRzLir3q108qu7NGIjzbvjQ23tXttJdzWkuxpm7e7xNmgrV66siXEIIUStkm53EtAslyHtp7OuS2sAovY4OdE6EM2mo7s0Xr2hoxxxLIQQJuTxBLjMgQMHOHjwIP369SMgIABd19HOWfsmLl3Hjh1VD8GSpLvxalvzhI1pPDs7mahxsJWWADRfUsjqraPxCXHy48p8WjcKNN2b3s5X27p7C+muhnRXw6zdPV4CkZ2dzcCBA2ndujXDhg0jPT0dgHvuuYennnqq2gdoZZUdOS1qnnQ3Xm1qnm538uzsZFznvHtCQ2ftgWsBKDkdQL+25tvxoTK1qbs3ke5qSHc1zNrd4wnwE088gZ+fH2lpaeX+UGPHjmXRokXVOjirM+veed5OuhuvNjU/mJFbbvILoKO5jzfOy4Pz3htsWrWpuzeR7mpIdzXM2t3jJRBLlixh8eLFNGnSpNzjrVq14vDhw9U2MCGEMBtXUTH/+3A2BJQ/zMJH00hJDiTGnLv9CCGEOI/Hd4AdDkelt7NzcnJke5Fqdu2116oegiVJd+PVhuau4hKe/evHLApohuZyYaP0NrCPpjFpVO18s1tt6O6NpLsa0l0Ns3b3eAJ81VVX8fXXX7t/rWkaLpeLKVOmMGDAgGodnNVt27ZN9RAsSbobz8zN0+1O1u3/laee/pSEgBbYXCW8F1fE2mcHMvW+K0mcYK7jjT1h5u7eTLqrId3VMGt3j5dATJkyhYEDB7Jp0ybOnDnDM888w86dO8nJyWHt2rU1MUbLOn78uOohWJJ0N55Zm5ft9uDSAf+moLt4O/YM1z8wGqBW3vU9l1m7ezvproZ0V8Os3T2+A9yxY0f27dtH3759GTFiBA6Hg1GjRrF161bi4uJqYoyWFVx6xJQwmHQ3nhmbV7rbg6Zx5fjr1A2qmpmxuxVIdzWkuxpm7V6lo5BHjRrFl19+SWhoKF9//TVjx4611HpfVUchl5SU4OPjY9jriVLS3XhmbL7uYBa3frq+wuNmPtrYU2bsbgXSXQ3proaR3av9KOR58+bhcDgAuPvuu7Hb7Zc+SvGHpk+frnoIliTdjWfG5qu+nFvhMR/N3Ecbe8qM3a1Auqsh3dUwa/cqrQFu27Ytzz77LAMGDEDXdaZPn37BmfUdd9xRrQMUQgij/eeVz/mkKBooPeRCR6vVuz0IIYQor0oT4I8//pgnn3yS+fPno2kazz//fKXHHmuaJhPgatS2bVvVQ7Ak6W48szRPtzv5+L3v+Sq/IQBP1znOqKduIzUrn9jIQK+b/Jqlu9VIdzWkuxpm7V6lCXDv3r35+eefAbDZbOzbt4+oqKgaHZiAiIgI1UOwJOluPDM0T9iYxoRZ29EpPc1ioJbDI6/cB9T+3R4uxAzdrUi6qyHd1TBrd493gUhJSaFBgwY1MRZxnnXr1qkegiVJd+Opbp5ud56d/P72k61VRJBudyocVc1T3d2qpLsa0l0Ns3b3eALcvHlzEhMTue2224iPj+fYsWMAfPPNNyQmJlb7AIUQoqZ9/en8cpNfgBIdUrPyFY1ICCFETfJ4Ajxr1iyGDBlCQEAAW7dupbCwEAC73c6kSZOqfYBWds0116gegiVJd+OpbD73P7P5OLNOhce9bceHysi1roZ0V0O6q2HW7h5PgF977TU+/vhjPv30U/z8/NyP9+nThy1btlTr4Kxuz549qodgSdLdeKqa//jJ9zxx0Bfd5kPPM7/ic/YmsFV2fJBrXQ3proZ0V8Os3T0+Cnnv3r3069evwuNhYWGcOnWqOsYkzjpy5IjqIViSdDee0c3T7U4Svl7Ce0d8cNl8GJOfwptvP8iJ/CKv3fGhMnKtqyHd1ZDuapi1u8cT4OjoaA4cOEBsbGy5xxMTE2nZsmV1jUsAAQHe/x9gM5Luxqvp5g4HlJ3G+dWaNF6atx0dX7BBt8JfeePtB7H5+RIT5muJiW8ZudbVkO5qSHc1zNq9Skchn2vy5Mn873//4/PPP+eaa65hwYIFHD58mCeeeIIXXniBxx57rKbGqoyqo5CFENWjbALsE+Kk6cPLy73hzabB2glXW2riK4QQ3qjaj0I+14QJE7j11lsZOHAgeXl59OvXj3vvvZcHHnjAKye/Kk2bNk31ECxJuhuvppo7HL99AFzRbWGF3R5cFt7tQa51NaS7GtJdDbN293gJhKZpPPfcczz99NMcOHCAvLw82rdvT3BwME6n07S3umsjD2/Oi2oi3Y1XU83Llj0ADOg+nUNXBlX4Givs9nAhcq2rId3VkO5qmLW7x3eAy9SpU4f27dvTs2dP/Pz8eOedd2jRokV1js3yWrVqpXoIliTdjVcTzR2O0iUP/s2yGPCn/3FoUOnkt0XKCXRX6ddYZbeHC5FrXQ3proZ0V8Os3at8B7iwsJCXX36ZpUuXUqdOHZ555hlGjhzJF198wXPPPYePjw9PPPFETY7VcqKjo1UPwZKku/FqovmsrWk0fjAZzQaHqAfAlYkH+NeMR8njDGk5+bRtYo3dHi5ErnU1pLsa0l0Ns3av8h3gF198kY8++ojY2FhSU1MZM2YM999/P//85z955513SE1N5W9/+1tNjtVy1qxZo3oIliTdjVedzR0OOJju5OX5pZNfN11n5vb7CA71IS4mgAEd6lt68gtyrasi3dWQ7mqYtXuV7wDPmDGDr7/+mhtuuIEdO3bQuXNniouL2bZtG5qm/fETCCGEAYKDoW6z0zQcd94nNA3fcCdgzfW+QgghflPlO8BHjx6le/fuAHTs2BF/f3+eeOIJmfzWoAEDBqgegiVJd+NVZ3ONEq5pP6PC47pLo/hUIEEV3wdnWXKtqyHd1ZDuapi1e5UnwCUlJdSpU8f9a19fX4LPfYu1qHapqamqh2BJ0t141dVcLynhpcc+YHuX2LMPlL772KZpvHpDR+zp1l7ycD651tWQ7mpIdzXM2r3KSyB0Xeeuu+7C398fgIKCAh588EGCzrudMnv27OodoYWlpKRw5ZVXqh6G5Uh3411s83NPeNt/1MG773zHvMA4AF6JcvDnl6/HNzyfnesDiYuRye/55FpXQ7qrId3VMGv3Kk+A77zzznK/vu2226p9MKI8Pz8/1UOwJOluvEttHtz5MNe8l4zu1wiAkWGF3PTAzdz5FJScDiBaDnCslFzrakh3NaS7Gmbt7vFRyFYkRyELYS5lJ7s5HNDoMidNHloO57wfwUfTSJwwwPK7PAghhJXU6FHIwjgzZ85UPQRLku7G87R5cHDpR8OG0K/PjHKTX4ASXbfs8caekGtdDemuhnRXw6zdZQJsYkVFRaqHYEnS3XgX2/y6nl9wqEv9Co9b+XhjT8i1roZ0V0O6q2HW7jIBNjE5WloN6W48T5vn5cEnr3zFjgFRADTddwrb2bvANosfb+wJudbVkO5qSHc1zNq9ym+CE8aLjY1VPQRLku7G86R5ut3JZx/M5b+OSAC6rj3KnMQHOHDcSWZ+PrGR1j7e2BNyrash3dWQ7mqYtbvcATaxlStXqh6CJUl341W1ecLGNHpPXs5/c0MAuKokmzmJ9wEQHRpAfJwcb+wJudbVkO5qSHc1zNpdJsBCiFoh3e5kwqzt6Pz2hrd1vvU5fqoQXUdOeBNCCFFlMgE2sauuukr1ECxJuhuvKs2nfrGo3OQXoERHdnu4BHKtqyHd1ZDuapi1u0yATSwjI0P1ECxJuhvvj5ov+u8c/n3cp8LjstvDpZFrXQ3proZ0V8Os3WUCbGL79+9XPQRLku7G+73my776kUf3aLhsPnQr/BWfszeBfWS3h0sm17oa0l0N6a6GWbvLLhAmpp23ub8whnQ3XmXN0+1Ovp+6gn8eKKHY148bHKn8850HyMwvIjVLdnuoDnKtqyHd1ZDuapi1uxyFXAVyFLIQxkrYmMaEWcmUfXPqWJDFnDfH4etfR+m4hBBCmJcchewl5syZo3oIliTdjXdu89LdHn6b/ALsCojk14ISw8fl7eRaV0O6qyHd1TBrd5kAm5jT6VQ9BEuS7sY7t/nCues4/8dSLtntoUbIta6GdFdDuqth1u6mngCXlJTwwgsv0KJFCwICAoiLi+PVV1/l3FUbuq7z4osvEhMTQ0BAAIMGDaqw4DonJ4fx48cTGhpKeHg499xzD3l5eUb/cTzWtGlT1UOwJOluvLLmmxes4a1fTlb4vOz2UDPkWldDuqsh3dUwa3dTT4DffPNNPvroI/7973+ze/du3nzzTaZMmcL777/v/popU6bw3nvv8fHHH7N+/XqCgoIYMmQIBQUF7q8ZP348O3fuZOnSpcybN4/Vq1dz//33q/gjeaRt27aqh2BJ0t1Y6XYneYExrPhhLXctzcBZJ4A4ZzY22e2hxsm1roZ0V0O6q2HW7qaeAK9bt44RI0Zw3XXXERsby+jRoxk8eDAbNmwASu/+vvvuuzz//POMGDGCzp078/XXX3P8+HH3mpPdu3ezaNEiPvvsM3r16kXfvn15//33mTZtGsePH1f4p/tjS5cuVT0ES5LuxknYmEafN1bw4PQ9/HntSU77B9LTnsaPL49k7YSrmXrflSROGMDYK5qpHqpXkmtdDemuhnRXw6zdTT0B7t27N8uXL2ffvn0AbNu2jcTERK699loAUlJSyMjIYNCgQe7fExYWRq9evUhKSgIgKSmJ8PBwevTo4f6aQYMGYbPZWL9+faWvW1hYSG5ubrkPIUT1Src7eXZ2Mq6yFU2aBrrOpGduJLBeKDFhAcTH1Zc7v0IIIaqdqfcBnjBhArm5ubRt2xYfHx9KSkp4/fXXGT9+PPDb6SINGzYs9/saNmzo/lxGRgZRUVHlPu/r60tERMQFTyeZPHkyEydOrPD4jBkzCAwMZNSoUSxfvhy73U5UVBQ9e/Zk3rx5AHTr1g2Xy8Uvv/wCwIgRI0hMTCQ7O5uIiAj69evnvjvduXNn/Pz82Lx5MwDXXXcdmzZt4sSJE4SGhtKzZ0+mTp0KQIcOHQgODnZP2ocMGcKOHTs4duwYQUFBDB8+nISEBADatGlDZGQka9euBUon/Pv27SMtLQ1/f39GjRpFQkICLpeLuLg4GjduzOrVqwHo378/aWlpHDp0CF9fX8aMGcOsWbM4c+YMzZs3Jy4ujhUrVgDQt29fMjMz3X9BGTduHHPnziU/P58mTZrQvn17lixZAkB8fDx2u51du3YBMGbMGBYtWsTp06eJjo6mW7duLFiwAIArrriCgoICkpOTAbjxxhtZtWoVJ0+eJDIykvj4eH788UcAunbtCsDWrVsBuP7660lKSiIrK4t69erRv39/vv/+ewA6depE3bp12bhxIwDDhg1jy5YtZGRkEBISwtChQ5kxYwZOp5Nt27YRFhbm/ovU4MGD2bVrF0ePHiUwMJARI0a4/79p3bo1UVFRJCYmAnD11Vdz8OBBDh8+TJ06dbjpppuYMWMGxcXFtGzZkmbNmrFq1SoA+vXrx7Fjxzh48CA2m42xY8cye/ZsCgsLadasGa1bt2bZsmUA9OnTh6ysLPbu3QvA2LFjmTdvHg6Hg8aNG9OxY0cWL14MQK9evcjLy2Pnzp0AjB49miVLlpCbm0vDhg3p0aMH8+fPB6B79+4UFRWxfft2AEaOHMnq1avJycmhfv369O3bl7lz5wJw+eWXY7PZ2LJlCwDDhw9nw4YNZGZmEhYWxsCBA5k9ezYAHTt2JDAw0P0Tm2uvvZZt27Zx/PhxgoODqde212+T3zKaRsKy1Txw49Xs2bOHI0eOEBAQwMiRI5k2bRq6rtOqVSuio6NZs2YNAAMGDCA1NZWUlBT8/PwYPXo0M2fOpKioiBYtWhAbG8vKlSuB0iM5MzIy2L9/P5qmccsttzBnzhycTidNmzalbdu27rsVvXv3Jicnhz179gBw8803s2DBAvLy8mjUqBFdunRh4cKFAPTs2ZP8/Hx27NgBYNj3iMGDBzNz5kzg4r5HOJ1Opk6dKt8jPPweAdC+ffuL/h7Rrl071q1bJ98j/uB7xLBhw5g+fTpQ+mP0iIgI1q1bB8A111zj8fcIp9PJzJkz5XuEwfOI3r17G/Y9ouzPWhWm3gd42rRpPP3007z11lt06NCBX375hccff5x33nmHO++8k3Xr1tGnTx+OHz9OTEyM+/fdfPPNaJpGQkICkyZN4quvvnJ/QygTFRXFxIkTeeihhyq8bmFhIYWFhe5f5+bm0rRpU8P3Ad66dav7m7cwjnQ3xs+rtnLLwmOld37P8tE0EicMkLu+BpFrXQ3proZ0V8PI7l6zD/DTTz/NhAkTuOWWW+jUqRO33347TzzxBJMnTwYgOjoagBMnTpT7fSdOnHB/Ljo6mszMzHKfLy4uJicnx/015/P39yc0NLTchwplf6sUxpLuNS918y7+b/ZO97IHkDe7qSDXuhrSXQ3proZZu5t6Apyfn4/NVn6IPj4+uFwuAFq0aEF0dDTLly93fz43N5f169cTHx8PlN4yP3XqlPvHAwArVqzA5XLRq1cvA/4UQogy6XYnc5Zs5eavtnAisB6tczNYcEdH7otzyJvdhBBCGMbUSyDuuusuli1bxn/+8x86dOjA1q1buf/++/nzn//Mm2++CZRulfbGG2/w1Vdf0aJFC1544QW2b9/Orl27qFu3LlC6rujEiRN8/PHHFBUVcffdd9OjRw++++67Ko1D1VHIJSUl+Pj4GPZ6opR0rxkJG9N4dlYyrrO/blBgZ8Ff+tGgZRNproh0V0O6qyHd1TCyu9csgXj//fcZPXo0Dz/8MO3ateOvf/0rDzzwAK+++qr7a5555hkee+wx7r//fq644gry8vJYtGiRe/IL8O2339K2bVsGDhzIsGHD6Nu3L5988omKP5JHyt7wIYwl3aufe8eHcx7LDgijuH59QJqrIt3VkO5qSHc1zNrd1LtAhISE8O677/Luu+9e8Gs0TeOVV17hlVdeueDXREREVPlur5nUhtPqvJF0r35bfjlUYceHsuONY8ICpLki0l0N6a6GdFfDrN1NfQfY6ho1aqR6CJYk3S+dw1H6/jZNg8M7jvDmjE0Vvubc442luRrSXQ3proZ0V8Os3WUCbGJdunRRPQRLku7Vp0HgMe79cAlpwZGEFeZd8Hhjaa6GdFdDuqsh3dUwa3eZAJtY2QbawljS/eI5HKUfhzKcRLXaR6txi9kfGk204yQJYzpf8Hhjaa6GdFdDuqsh3dUwa3dTrwEWQtQuwcEQ3DmNiCHJBIyCYzQkuCCf7G8vp92/26HryD6/QgghlJMJsIn17NlT9RAsSbpfPJ8QJxFDktHO+dlSXp1AjhbH/e7vk+ZqSHc1pLsa0l0Ns3aXJRAmlp+fr3oIliTdL96cn3LLTX4BsMHSpHx+743A0lwN6a6GdFdDuqth1u4yATaxHTt2qB6CJUn3i3O6oIgPV++r8LhN02jbJJCgoAv/XmmuhnRXQ7qrId3VMGt3mQALIS5ZXmExd36+gV3puQTU8XHv9qC7NF6+rqOs+xVCCGEqpj4K2SxUHYVcWFiIv7+/Ya8nSkn3qku3O9mdnsu/lu1n21E7oXV9+e6+K6kfXIfUrHxiIwOrNPmV5mpIdzWkuxrSXQ0ju3vNUchWt3z5ctVDsCTpXjUJG9Po88YK/vzlJrYdtePva+Pbe6+kY+MwYsICiI+rX+U7v9JcDemuhnRXQ7qrYdbuMgE2MbvdrnoIliTd/1i63cmzs5PLHW9cVOIiMqTORT2fNFdDuqsh3dWQ7mqYtbtMgE0sKipK9RAsSbr/sb3pp8tNfgFcOqRmXdy7faW5GtJdDemuhnRXw6zdZQJsYmbdO8/bSfffV1BUwgerDlR43EfTiI0MvKjnlOZqSHc1pLsa0l0Ns3aXCbCJzZs3T/UQLEm6X1hBUQn3fb2JjaknqeOjuXd78NE0Jo26+N0epLka0l0N6a6GdFfDrN3lJDghRJUcznbwl2lb2XbEToCfD1/efQXN6gd6tNuDEEIIYQYyATaxbt26qR6CJUn3iv7382Gen/PbZua3X9mcXi3rA1TLxFeaqyHd1ZDuakh3NczaXZZAmJjL5VI9BEuS7uWlZTvKTX4B/puYQrrdWW2vIc3VkO5qSHc1pLsaZu0uE2AT++WXX1QPwZKk+2/OFLt4Yvq2Co+X6PpF7/hQGWmuhnRXQ7qrId3VMGt3mQALISpVVOLisalb2Hz4ZIXPXcqOD0IIIYRqchRyFag6Cjk/P5/AQJlkGM3q3dPtTg5k5vHfxBRW7f2VOr42bruyOV+tTaVE1907Poy9olm1vabVm6si3dWQ7mpIdzWM7C5HIXuJxMRE1UOwJCt3Lzve+Pb/bmDV3l/x0TT+c3t3XhzensQJA5h635UkThhQrZNfsHZzlaS7GtJdDemuhlm7yy4QJpadna16CJZk1e6VHW+so9M2OgQo3e2hprY6s2pz1aS7GtJdDemuhlm7yx1gE4uIiFA9BEuyavcDmXnVeryxJ6zaXDXproZ0V0O6q2HW7rIGuApUrQF2Op0EBMjhAkazYvcSl85D/9vMkl0nyj3uo2kkThhQ44dcWLG5GUh3NaS7GtJdDSO7yxpgLzFnzhzVQ7Akq3Uvcen8dcY2luw6gU2j2o439oTVmpuFdFdDuqsh3dUwa3dZAyyERaXbnRzMdPC/nw+zaGcGPjaND27tSpem4XK8sRBCCK8mE2AT69y5s+ohWJIVuidsTCv3hjdNg/fHdWVoxxigeo439oQVmpuRdFdDuqsh3dUwa3dZAmFifn5+qodgSd7evbLdHjSga7NwVUPy+uZmJd3VkO5qSHc1zNpdJsAmtnnzZtVDsCRv734o06Fst4cL8fbmZiXd1ZDuakh3NczaXSbAQliIy6WTsCmtwuNytLEQQggrkW3QqkDVNmi5ubmGvp4o5a3dXS6d5+b8f3v3Hhd1mf99/D0gIoiggoAgqOARxUxLxcw84JFay0Nqrtla9rO1g27rqtu5fqXV3rW1u/127+p291dGhCGueMZDipDiEYhERQQPIOEBVBCBue4/WCYnQBiF+Vwz834+Hj4ey8yXmYuX32Yvh+9cVzqi952GAQAMgFJolq2NLWWvzXXH7jLYXQa7y7Bmdy6DZif2798vPQSHZI/dz14qxbz/3Y/ofafhZAA+nN4fyUtHNdvWxpayx+a2gN1lsLsMdpeha3euAqGx8+fPN3wQNTl76/71vjwsjUs3fT3tnk54+O5AANZf7aE+9tbcVrC7DHaXwe4ydO3Od4A1xl/VyLCn7ucul5pNfgFg9f6zyC8uExpR3eypuS1hdxnsLoPdZejandcAN4LUNcAVFRXaLh9iz+ylu1IK//VF7e2NASB63hBEhHoLjKpu9tLc1rC7DHaXwe4yrNmd1wDbidWrV0sPwSHZQ3elFN5Yl1nn5FfHFR/sobktYncZ7C6D3WXo2p0TYCI7o5TCmwmZ+GfyKRgMwNQBneBsMAD4ecUHXa79JSIiksAPwWmsT58+0kNwSLbc/dzlUry17kds/KEAALBicjim3xuMF8f1wKmiUnTxcddy8mvLzW0Zu8tgdxnsLkPX7pwAa8zDw0N6CA7JVrt/vS8Py+LSUXNR/+QBgablzTp6uWk58a1hq81tHbvLYHcZ7C5D1+68BEJje/fulR6CQ7LF7ucul5pNfgFg7aFz2q32UB9bbG4P2F0Gu8tgdxm6ducEmMjGKaXwzoaj+OVyLlVK4VRRqciYiIiIdMZl0BpBahm0ixcvon379lZ7PqpmS92VUlix8Sj+setkrfucDQYkLR2p9aUPNWypuT1hdxnsLoPdZVizO5dBsxMZGRnSQ3BIttA9v7gMySeK8PLaDNPk9+H+ATa72oMtNLdH7C6D3WWwuwxdu/NDcBo7e/as9BAcku7dY1KrP+xmvOl3N29O6oPHI7pgyYReWq/2UB/dm9srdpfB7jLYXYau3TkB1ljr1q2lh+CQdO6eX1xWa/JrMABjwvwA6L/aQ310bm7P2F0Gu8tgdxm6duc1wI0gdQ2w0WiEkxOvUrE2nbsnnyjCY5/V/kStblsbW0rn5vaM3WWwuwx2l2HN7rwG2E7ExMRID8Eh6dpdKYUtP9jG1saW0rW5vWN3Gewug91l6NqdE2AiG6CUwgdbj+GfKacAVF/2ANjeh92IiIh0wGuANdazZ0/pITgk3bqfu1yK9zdnYc2hcwCAVx4Mw8Rwf5v8sFt9dGvuKNhdBrvLYHcZunbnBFhjPj4+0kNwSDp1j0nNw9Jvf97hLSq8I54c1hUA7GLiW0On5o6E3WWwuwx2l6Frd14CobE9e/ZID8Eh6dI9v7jMbPILAJsyCmxme2NL6NLc0bC7DHaXwe4ydO3OCTCRpv60OYvbGxMRETUDToA1FhkZKT0Eh6RD9z8nHsO3B2svHm4PKz7URYfmjojdZbC7DHaXoWt3ToA1duzYMekhOCTp7h8lHsefE48DACb29bfZ7Y0tId3cUbG7DHaXwe4ydO3OCbDG8vLypIfgkKS65xeX4fexR/BhYvWLxdIJvfDJrwciaelIRM8bgqSlIzH93mCRsTU3nusy2F0Gu8tgdxm6ducqEBpzdXWVHoJDkuj+y9UeJvT1x/wHQgHY7vbGluC5LoPdZbC7DHaXoWt3boXcCFJbIZNjyC8uw9Dl280+8OZsMCBp6Ui7n/gSERE1FW6FbCd03T7Q3lm7+4dbjzn8ag8812Wwuwx2l8HuMnTtzgmwxoxGo/QQHJI1u/9txwl8s/9MrdvtdbWH+vBcl8HuMthdBrvL0LU7rwHWWGhoqPQQHFJzd88vLkNO0TXsOvYT/v7dSQDAuD5+SMwsRJVSdr3aQ314rstgdxnsLoPdZejanRNgjQUGBkoPwSE1Z/eY1Dwsi0uH8aZrHhaP64kFI7shv7gMp4pK0cXH3aEmvwDPdSnsLoPdZbC7DF278xIIje3atUt6CA6pubrnF5fVmvwaAEweUP3i0NHLDRGh3g43+QV4rkthdxnsLoPdZejanRNgIivJKbpmNvkFAAU41IfdiIiIdMAJsMZGjBghPQSH1Fzdk44X1brN0T7sVh+e6zLYXQa7y2B3Gbp25wRYY7runmLvmqP737/Lxic7swFUX/YA2PfWxpbiuS6D3WWwuwx2l6Frd06ANXby5EnpITikpuqeX1yG5OwivL/pKFZsPAoA+N2YHkheNsrutza2FM91Gewug91lsLsMXbtzFQiNtWjBvx4JTdG9rtUeFkX2wPOjuwMA3/X9BZ7rMthdBrvLYHcZunbnVsiNwK2QyRL5xWW4b8X2Wqs9JC8bxYkvERFRM+FWyHbi22+/lR6CQ7rT7lztwXI812Wwuwx2l8HuMnTtzgmwxm7cuCE9BId0p92TT3C1B0vxXJfB7jLYXQa7y9C1OyfAGuvcubP0EBzSnXT/dNdJ/HUHV3uwFM91Gewug91lsLsMXbvreWUyAdB3/2x7dzvd84vL8NftJ7Bqb/VyLy+M7o4Zg4IcdmtjS/Fcl8HuMthdBrvL0LU73wHW2Pbt26WH4JAs7R6Tmoehy7ebJr+je/ti0ZgeDr21saV4rstgdxnsLoPdZejanRNgojuQX1yGpd+m4+bPvO08Woj84jKxMREREdGtcQKssWHDhkkPwSFZ0v1v20/gl+sIVimu+GApnusy2F0Gu8tgdxm6ducEWGOFhYXSQ3BIje3+2e6T+HJv7S0eueKD5Xiuy2B3Gewug91l6NqdE2CNHTt2THoIDulW3Wu2N/5gSxb+e/2PAIDRvXzh/J8lH7jiw+3huS6D3WWwuwx2l6Frd64CQdRIdW1v/Pyoblg0pgcKSq5zxQciIiIbwa2QG4FbIVN92xvvWToSAW15uQMREZE0boVsJ9auXSs9BIdUV/f6tjfOvcDVHpoCz3UZ7C6D3WWwuwxdu3MCrLHSUq4kIKGu7ntPXqx1Gz/s1nR4rstgdxnsLoPdZejanRNgjXXq1El6CA7pl90/T8rBR9uOA+D2xs2F57oMdpfB7jLYXYau3fkhOI2FhYVJD8EhhYWFIb+4DDlF17D35EXT5Pe5Ud0wc1AQci+U8cNuTYznugx2l8HuMthdhq7d+Q6wxrZs2SI9BIf0dvQO3LdiOx77dK/Z5Pd3Y3ogoK07tzduBjzXZbC7DHaXwe4ydO2u/QS4S5cuMBgMtf4sWLAAADBixIha982fP9/sMfLy8hAVFQV3d3f4+vpi8eLFqKyslPhxSHP5xWVYc6ZVrdUeZg4KgsFgqPf7iIiIyHZofwlEamoqqqqqTF9nZGRgzJgxmDZtmum2efPm4c033zR97e7+8weTqqqqEBUVBX9/fyQnJyM/Px+PP/44XFxc8M4771jnh7hNERER0kNwODlF16BgPtGtWe2By501H57rMthdBrvLYHcZunbXfgLcoUMHs69XrFiB0NBQPPDAA6bb3N3d4e/vX+f3b9myBZmZmUhMTISfnx/69++Pt956C0uWLMHrr7+Oli1bNuv470RxcbH0EBwOV3uQwXNdBrvLYHcZ7C5D1+7aXwJxsxs3buDLL7/E3LlzzX4dvWrVKvj4+KBv375YtmyZ2ZIbKSkpCA8Ph5+fn+m2cePGoaSkBD/88EOdz1NeXo6SkhKzPxIyMzNFntdRcbUHOTzXZbC7DHaXwe4ydO2u/TvAN4uPj8fly5fxxBNPmG577LHH0LlzZwQEBCAtLQ1LlixBVlYW4uLiAAAFBQVmk18Apq8LCgrqfJ7ly5fjjTfeqHV7bGws3N3dMXnyZGzbtg3FxcXw9fXFoEGDkJCQAAAYMGAAjEYjDh8+DACYNGkSkpKScOHCBbRv3x7Dhw9HfHw8AKBfv35wcXHBgQMHAABRUVHYv38/zp8/D09PTxiNRkRHRwMA+vTpAw8PD+zduxdA9SQ+IyMDZ8+eRevWrfHggw8iJiYGANCzZ0/4+Phgz549AIDIyEgcO3YMeXl5cHV1xeTJkxETEwOj0YjQ0FAEBgZi165dAKqvqc7Ly8PJkyfRokULTJs2Dd9++y1u3LiBzp07IzQ0FNu3bwcADBs2DIWFhaZ9vmfOnIm1a9eitLQUnTp1QlhYmOni94iICBQXF5v+Q5g2bRo2bdqEK1euwN/fHwMGDMCGDRsAAPfeey+uX7+O9PR0AMAjjzyCnTt34tKlS/Dx8UFERATWrVsHALj77rsBAIcOHQIAPPTQQ0hJSUFRURHatWuHESNGYM2aNQCA8PBwtGrVCqmpqQCAiRMn4uDBg8jKO489lzywu6B62nuPWxHmj+mLK6oVzp9Ih/HEHlwIaY3MzEycOXMG7u7umDRpkunvpkePHvD19UVSUhIAYNSoUcjOzkZubi5atmyJKVOmIDY2FpWVlQgJCUFwcDB27twJABg+fDjOnj2L7OxsODk5Yfr06YiLi0N5eTmCg4PRo0cPJCYmAgDuu+8+FBUVISsrCwAwffp0JCQk4Nq1awgMDETfvn2xefNmAMDgwYNx9epV0z/ypk6dii1btqCkpAR+fn645557sH79egDAwIEDUVFRgbS0NADAww8/jF27duHixYvw9vbGsGHDTAuZ9+/fH05OTjh48CAA4MEHH8S+fftQWFgILy8vjB492vTfXt++feHu7o59+/YBACZMmIAjR47g3Llz8PDwwMSJE/HNN98AqH6HIDc3F8nJyQCAMWPG4OjRozh9+jTc3Nzw8MMP4+uvv4ZSCt27d4e/vz92794NABg5ciROnTqFnJwcuLi4YOrUqVi9ejUqKirQtWtXdOnSBTt27AAA3H///SgoKMDx48dhMBgwY8YMxMfHo6ysDEFBQejVqxe2bt0KABg6dCguXryIo0ePAgAeffRRbNiwAVevXkVAQADuuusubNy4EQAwaNAglJaWIiMjAwCs9hoxduxYrF69GsDtvUacPXsW0dHRfI1o4DWioKAAbdq0wfjx4xEbGwug+pPtXl5eSElJAQCMHTu20a8R5eXlSE5O5muEBa8RvXr1Qvv27e/oNeLs2bNYvXo1XyOsPI8AYLXXiJqftTFsaivkcePGoWXLlqYXtrps374do0ePxokTJxAaGoqnn34aubm5pv/ogepFmVu3bo0NGzZgwoQJtR6jvLwc5eXlpq9LSkoQFBRk9a2QKysrTScPNY+Y1Dws/TYdNf8RjOrli3/M6g8XFxfRcTkanusy2F0Gu8tgdxnW7G6XWyHn5uYiMTERTz311C2PGzx4MADgxIkTAAB/f3+cP3/e7Jiar+u7btjV1RWenp5mfyRs2rRJ5HkdRX5xmdnkFwC+yyrE1//eXO/3UPPguS6D3WWwuwx2l6Frd5uZAK9cuRK+vr6Iioq65XE1vzLo2LEjgOq3zNPT01FYWGg6ZuvWrfD09NR2ceYaV65ckR6CXftkRzZ++euPKgXkXdRz20Z7xnNdBrvLYHcZ7C5D1+428bsAo9GIlStXYs6cOWZvo2dnZ+Orr77CxIkT4e3tjbS0NCxatAjDhw9Hv379AFRflxUWFobZs2fjvffeQ0FBAV5++WUsWLAArq6uUj9So9T3DjXduc+TcvDF97m1bnc2GNCrk7fAiBwbz3UZ7C6D3WWwuwxdu9vEO8CJiYnIy8vD3LlzzW5v2bIlEhMTMXbsWPTq1QsvvvgipkyZYnaNsLOzMxISEuDs7IyIiAj8+te/xuOPP262brCuBgwYID0Eu/R5Ug7eSqi+iH5UL184/2fJh5oVHyKH3iM4OsfEc10Gu8tgdxnsLkPX7jb1ITgpllxU3ZSio6Mxc+ZMqz2fvcsvLsMnO7JN7/zWbG9cUHIdp4pK0cXHHR293NhdAJvLYHcZ7C6D3WVYs7sl8zWbuASC6E7VtdrD78b0gMFgQEcvN67zS0RE5EBs4hIIR3XvvfdKD8Eu1LfaQ0HJ9TqPZ3frY3MZ7C6D3WWwuwxdu3MCrLHr1+ueoJFl6lvt4VRR3as9sLv1sbkMdpfB7jLYXYau3TkB1ljNLkd0+2612kMXH/c6v4fdrY/NZbC7DHaXwe4ydO3Oa4DJ7uQXlyGn6Br2nryIj7YdB1B9ze93WYWoUj+v9sDrfomIiBwTV4FoBKlVIK5fv45WrVpZ7fnsQUxqHpbFpcN401ld32oP9WF362NzGewug91lsLsMa3a3y62QHdHOnTulh2BT8ovLak1+DQBmDgoyrfYQEerd4Du/7G59bC6D3WWwuwx2l6Frd06ANXbp0iXpIdiUnKJrZpNfAFAAci+UWfQ47G59bC6D3WWwuwx2l6Frd06ANebj4yM9BJvyffaFWrfd6sNu9WF362NzGewug91lsLsMXbvzGuBGkLoG+OrVq/Dw8LDa89myz3afxH+v/xFA9WUPCj9/2G36vcEWPRa7Wx+by2B3Gewug91lWLM7rwG2E+vWrZMegvbyi8vw8pp00+T3+dHdsWfpSETPG4KkpSMtnvwC7C6BzWWwuwx2l8HuMnTtzmXQyGb9cnvj0b19sSiyOwwGAwLaWnbZAxERETkOvgOssbvvvlt6CNqqa3vjnUfr397YEuxufWwug91lsLsMdpeha3dOgMkm/XX7CYu2NyYiIiKqwQmwxg4dOiQ9BC19uuskVu3Nq3X77az4UBd2tz42l8HuMthdBrvL0LU7J8BkU/7vrmy8vaH6A2+je/vC2WAAwO2NiYiIqPG4DFojcBk0efnFZfjL9uP4au9pAMALo7tj0ZgeyC8ua9T2xpZgd+tjcxnsLoPdZbC7DC6DRhZLSUmRHoIWYlLzMHT5dtPkd3RvXywa0wMAGr29sSXY3frYXAa7y2B3GewuQ9funABrrKioSHoI4upe7eEn5Bdbtr2xJdjd+thcBrvLYHcZ7C5D1+6cAGusXbt20kMQ95dtx+tY7UE162oP7G59bC6D3WWwuwx2l6Frd14D3AhS1wBfv34drVq1strz6ebv32VjxcajtW53NhiQtHRks33gzdG7S2BzGewug91lsLsMa3bnNcB2Ys2aNdJDsLr84jIkZxfhvU1HTZPfSCuv9uCI3aWxuQx2l8HuMthdhq7duRUyaSMmNQ/L4tJhvOl3Egsju2NhZPOs9kBERESOiRNgjYWHh0sPwWryi8tqTX4NAKbfGwSgerUHa018Ham7LthcBrvLYHcZ7C5D1+68BEJjjnStUk7RNbPJLwAoyGxt7EjddcHmMthdBrvLYHcZunbnBFhjqamp0kOwmt3Hf6p1W1NtbWwpR+quCzaXwe4y2F0Gu8vQtTsnwCTuk50n8D87TwKovuwB4NbGRERE1Hy4DFojSC2DVlxcDC8vL6s9n7XlF5fhz1uPI2Z/9Q5vL47pgan3dBL/sJu9d9cRm8tgdxnsLoPdZVizO5dBsxMHDx6UHkKzqdneuGbyOy7MD8+N7t4sWxtbyp6764rNZbC7DHaXwe4ydO3OCbDGCgoKpIfQLOra3jjxx8Jm3d7YEvbaXWdsLoPdZbC7DHaXoWt3ToA11qZNG+khNIs/b7X+9saWsNfuOmNzGewug91lsLsMXbvzGuBGkLoGuLKyEi1a2NdSzX/dfhx/2nKs1u3Nvb2xJeyxu+7YXAa7y2B3Gewuw5rdeQ2wnYiNjZUeQpO6efI7ro+fVbc3toS9dbcFbC6D3WWwuwx2l6Frd/5TiJpdfnEZPthyDLEHzgAA/jC+J347ohu3NyYiIiIRnABrLCwsTHoIdywmNc/sA2/j+/rjtyO6AbDu9saWsIfutobNZbC7DHaXwe4ydO3OSyA0ZuvrFda12sPWH85rs9pDfWy9uy1icxnsLoPdZbC7DF27cwKssZSUFOkh3JH/s/mY1qs91MfWu9siNpfB7jLYXQa7y9C1OyfA1Cz+nHgMqw+eqXW7s8GALj7uAiMiIiIiqsZl0BpBahm0CxcuwNvb22rPd6fyi8uQU3QNiZnn8f/2nAIATOzrj80/nEeVUqbVHqbfGyw70AbYWnd7wOYy2F0Gu8tgdxnW7M5l0OxEZmam9BAaLSY1D/et2I7HPt1rmvwum9ALn/x6IJKWjkT0vCFIWjpS+8kvYFvd7QWby2B3Gewug91l6Nqdq0Bo7MyZ2pcQ6Ci/uAzL4tJhvOl3CQYAv+ofAEDf1R7qYyvd7Qmby2B3Gewug91l6Nqd7wBrzN3dNq6VzfnpmtnkFwAUoP2H3epjK93tCZvLYHcZ7C6D3WXo2p3XADeC1DXAtkAphTfXZWJl8imz23Xa2piIiIjsH68BthPR0dHSQ7glpRQ+3HrMNPn9z87G2m1tbCndu9sjNpfB7jLYXQa7y9C1O68BJovlF5ch56dr2Jp53jT5fTmqN6L6deTWxkRERKQ9ToA11qNHD+kh1BKTmlfrA28vR/XGU/eHAIBdTHx17G7v2FwGu8tgdxnsLkPX7rwEQmO+vr7SQzBT52oPBiCqX0e5QTUD3bo7AjaXwe4y2F0Gu8vQtTsnwBpLSkqSHoKZOld7ULa72kN9dOvuCNhcBrvLYHcZ7C5D1+6cAFOjKKWwKaOg1u3c2piIiIhsDSfAGhs1apT0EABUT37f25yF//0+F4D9rPZQH126OxI2l8HuMthdBrvL0LU7PwSnsezsbPj5+YmO4dzlUizfkIV1aecAAK8/FIZxff3terUHHbo7GjaXwe4y2F0Gu8vQtTvfAdZYbm6u6PN/vS8P963YYZr8/uquADxxX1d09HJDRKi3XU5+AfnujojNZbC7DHaXwe4ydO3OCbDGWrZsKfbc5y6XYllcOm7+zNv6tHzkF5eJjclaJLs7KjaXwe4y2F0Gu8vQtTu3Qm4ER9sKWSmF56IPISEtv9Z90fOGICLUW2BURERERPXjVsh2IjY21urPqZTC8o1H65z8OsqKDxLdHR2by2B3Gewug91l6NqdH4LTWGVlpdWeq2Z743Vp5xC97zQA4OH+AVh3JB9VStntig91sWZ3qsbmMthdBrvLYHcZunbnBFhjISEhVnmeurY3/u+H++LXQzpjyYRedr3iQ12s1Z1+xuYy2F0Gu8tgdxm6ducEWGPBwcHN/hz1bW88unf11oUdvdwcZuJbwxrdyRyby2B3Gewug91l6Nqd1wBrbOfOnc3+HI6yvbElrNGdzLG5DHaXwe4y2F2Grt05AXZgSinEHz5b63ZH+bAbEREROSZOgDU2fPjwZntspRTeTMjEN/vPALD/7Y0t0ZzdqW5sLoPdZbC7DHaXoWt3XgOssbNnzyIwMLBJH7NmtYc1h84i9kD15Hf55HCM6NnB4T7sVp/m6E63xuYy2F0Gu8tgdxm6duc7wBrLzs5u0seLSc3DfSu247HP9pomvysmh2PmoGC7397YEk3dnRrG5jLYXQa7y2B3Gbp25wRYY05OTffXU99qDw/07NBkz2EvmrI7NQ6by2B3Gewug91l6NqdWyE3gj1shZx8ogiPfba31u3c2piIiIjsAbdCthNxcXFN8jhKKaz+zyUPN+NqD3Vrqu7UeGwug91lsLsMdpeha3dOgDVWXl5+x49hNCq8sjYDcYeqlzvjag8Na4ruZBk2l8HuMthdBrvL0LU7V4HQ2J3unnL2UileXfsDth0thMEAvD/1LtzXzZurPTRA111r7Bmby2B3Gewug91l6NqdE2CN9ejR47a/N3pfHpbFpZu+njqwE6YO7AQAnPg24E660+1hcxnsLoPdZbC7DF278xIIjSUmJt7W9529VGo2+QWAuANnkV9c1hTDsnu3251uH5vLYHcZ7C6D3WXo2p0TYDtTc83vL1UphVNFpQIjIiIiItILJ8Aau++++yw63mhU+OOadGw/+lOt+7jiQ+NZ2p3uHJvLYHcZ7C6D3WXo2p0TYI0VFRU16rj84jLsOV6EhTGH8HXqaTgZgBn3BsH5P0s+cMUHyzS2OzUdNpfB7jLYXQa7y9C1OyfAGsvKymrwmJrtjWd9vhf/PpIPA4APp/fHiin9kLR0JKLnDUHS0pGYfq+en8LUUWO6U9NicxnsLoPdZbC7DF27cxUIG1bX9sYwAIO6tgdQvdoD3/UlIiIiMsetkBtBaitko9F4yz209xwvwqzPub1xU2uoOzU9NpfB7jLYXQa7y7Bmd26FbCcSEhLqva/KqLBqX26t2/lhtzt3q+7UPNhcBrvLYHcZ7C5D1+6cAGvs2rVrdd5eZVT4w+o0bEgvgMHA7Y2bWn3dqfmwuQx2l8HuMthdhq7deQ2wxgIDA82+zi8uQ3bhNXy5NxebMgrg7GTARzP6Y2DndtzeuAn9sjs1PzaXwe4y2F0Gu8vQtTsnwBrr27ev6X/HpOaZfeDNYAA+nnE3ovp1BMDtjZvSzd3JOthcBrvLYHcZ7C5D1+68BEJjmzdvBlD3ag8GAAM6txUZl72r6U7Ww+Yy2F0Gu8tgdxm6ducE2AZkF14zX+oMgFGBWxsTERER3QZOgDU2ePBgVBkVvkg5Ves+rvbQfAYPHiw9BIfD5jLYXQa7y2B3Gbp25wRYY8UlV/C7bw5jc+Z5OBkAJ672YBVXr16VHoLDYXMZ7C6D3WWwuwxdu2s/Ae7SpQsMBkOtPwsWLAAAXL9+HQsWLIC3tzc8PDwwZcoUnD9/3uwx8vLyEBUVBXd3d/j6+mLx4sWorKyU+HEa7fTFa3hx3SmsPXwOLZwM+GTWQOxZOopbG1vBDz/8ID0Eh8PmMthdBrvLYHcZunbXfhWI1NRUVFVVmb7OyMjAmDFjMG3aNADAokWLsH79esTGxsLLywvPPvssJk+ejD179gAAqqqqEBUVBX9/fyQnJyM/Px+PP/44XFxc8M4774j8TA35am8u/rgmAzV/PTMHBWN8X38AXO2BiIiI6E7Z3FbICxcuREJCAo4fP46SkhJ06NABX331FaZOnQoAOHr0KHr37o2UlBQMGTIEGzduxIMPPohz587Bz88PAPD3v/8dS5YswU8//YSWLVs2+JzW3Ao5v7gMEcu3m93mbDAgaelITn6tpKKiAi4uLtLDcChsLoPdZbC7DHaXYc3udrsV8o0bN/Dll19i7ty5MBgMOHDgACoqKhAZGWk6plevXggODkZKSgoAICUlBeHh4abJLwCMGzcOJSUlWr4tn1NUe8eUKqW44oMVbdmyRXoIDofNZbC7DHaXwe4ydO2u/SUQN4uPj8fly5fxxBNPAAAKCgrQsmVLtG3b1uw4Pz8/FBQUmI65efJbc3/NfXUpLy9HeXm56euSkpIm+gka1tWnNZwMMFv2jCs+WJc1/76pGpvLYHcZ7C6D3WXo2t2mJsCff/45JkyYgICAgGZ9nuXLl+ONN96odXtsbCzc3d0xefJkbNu2DcXFxfD19cWgQYOQkJAAABgwYACMRiMOHz4MAJg0aRKSkpJw4cIFtG/fHsOHD0d8fDwAoF+/fnBxccGBAwcAAFFRUfjxwH48HFiG+DNuMAIwQGFSYBl+yj2OMg8P7N27F0D1u9gZGRk4e/YsWrdujQcffBAxMTEAgJ49e8LHx8d0HXRkZCSOHTuGvLw8uLq6YvLkyYiJiYHRaERoaCgCAwOxa9cuAMCIESOQl5eHkydPokWLFpg2bRq+/fZb3LhxA507d0ZoaCi2b6++RGPYsGEoLCzEsWPHAAAzZ87E2rVrUVpaik6dOiEsLMz0L7+IiAgUFxcjMzMTADBt2jRs2rQJV65cgb+/PwYMGIANGzYAAO69915cv34d6enpAIBHHnkEO3fuxKVLl+Dj44OIiAisW7cOAHD33XcDAA4dOgQAeOihh5CSkoKioiK0a9cOI0aMwJo1awAA4eHhaNWqFVJTUwEAEydOxMGDB1FQUIA2bdpg/PjxiI2NRVFREY4cOQIvLy/TbxLGjh2LzMxMnDlzBu7u7pg0aRKio6MBAD169ICvry+SkpIAAKNGjUJ2djZyc3PRsmVLTJkyBbGxsaisrERISAiCg4Oxc+dOAMDw4cNx9uxZZGdnw8nJCdOnT0dcXBzKy8sRHByMHj16IDExEQBw3333oaioCFlZWQCA6dOnIyEhAdeuXUNgYCD69u1rWnB88ODBuHr1qum3HFOnTsWWLVtQUlICPz8/3HPPPVi/fj0AYODAgaioqEBaWhoA4OGHH8auXbtw8eJFeHt7Y9iwYVi7di0AoH///nBycsLBgwcBAA8++CD27duHwsJCeHl5YfTo0YiLiwNQvfuPu7s79u3bBwCYMGECjhw5gnPnzsHDwwMTJ07EN998AwBQSiE3NxfJyckAgDFjxuDo0aM4ffo03Nzc8PDDD+Prr7+GUgrdu3eHv78/du/eDQAYOXIkTp06hZycHLi4uGDq1KlYvXo1Kioq0LVrV3Tp0gU7duwAANx///0oKCjA8ePHYTAYMGPGDMTHx6OsrAxBQUHo1asXtm7dCgAYOnQoLl68iKNHjwIAHn30UWzYsAFXr15FQEAA7rrrLmzcuBEAMGjQIJSWliIjIwMAmvU1Yv/+/Th//jw8PT0xduxYrF69GgDQp08feFj4GlFUVITo6Gi+Rlj4GgEAYWFht/0a4eHhgeTkZL5GWPAa0atXL7Rv3/6OXiOKioqwevVqvkZYeR7h5+dntdeImp+1MWzmGuDc3FyEhIQgLi4OkyZNAgBs374do0ePxqVLl8zeBe7cuTMWLlyIRYsW4dVXX8W///1v04kEADk5OQgJCcHBgwdNL443q+sd4KCgIKtcA1wjv7gMmXk/ISy4A6/9tbKSkhKr/T1TNTaXwe4y2F0Gu8uwZne7vAZ45cqV8PX1RVRUlOm2gQMHwsXFBdu2bTPdlpWVhby8PERERACo/hdDeno6CgsLTcds3boVnp6eCAsLq/O5XF1d4enpafbH2jp6uaEwYw8nvwJq3vUg62FzGewug91lsLsMXbvbxCUQRqMRK1euxJw5c9Cixc9D9vLywpNPPonf/e53aN++PTw9PfHcc88hIiICQ4YMAVD9a6mwsDDMnj0b7733HgoKCvDyyy9jwYIFcHV1lfqRiIiIiEiITUyAExMTkZeXh7lz59a678MPP4STkxOmTJmC8vJyjBs3Dp988onpfmdnZyQkJOCZZ55BREQEWrdujTlz5uDNN9+05o9wWwYOHCg9BIfE7tbH5jLYXQa7y2B3Gbp2t4kJ8NixY1HfpcqtWrXC3/72N/ztb3+r9/s7d+5s+vCELamoqJAegkNid+tjcxnsLoPdZbC7DF2728w1wI6o5hO3ZF3sbn1sLoPdZbC7DHaXoWt3ToCJiIiIyKHYzDJokqy5FfLNysrK4ObGVSCsjd2tj81lsLsMdpfB7jKs2d0ul0FzRDWLSpN1sbv1sbkMdpfB7jLYXYau3TkB1tjFixelh+CQ2N362FwGu8tgdxnsLkPX7pwAa8zb21t6CA6J3a2PzWWwuwx2l8HuMnTtzmuAG0HqGuDS0lK4u7tb7fmoGrtbH5vLYHcZ7C6D3WVYszuvAbYTa9eulR6CQ2J362NzGewug91lsLsMXbtzAkxEREREDoUTYI31799feggOid2tj81lsLsMdpfB7jJ07c4JsMacnPjXI4HdrY/NZbC7DHaXwe4ydO2u56gIAHDw4EHpITgkdrc+NpfB7jLYXQa7y9C1OyfARERERORQuAxaI0gtg3blyhW0adPGas9H1djd+thcBrvLYHcZ7C7Dmt25DJqd2Ldvn/QQHBK7Wx+by2B3Gewug91l6NqdE2CNFRYWSg/BIbG79bG5DHaXwe4y2F2Grt05AdaYl5eX9BAcErtbH5vLYHcZ7C6D3WXo2p3XADeC1DXA5eXlcHV1tdrzUTV2tz42l8HuMthdBrvLsGZ3XgNsJ+Li4qSH4JDY3frYXAa7y2B3GewuQ9fuLaQHYAtq3iQvKSmx6vOWlpZa/TmJ3SWwuQx2l8HuMthdhjW71zxPYy5u4CUQjXDmzBkEBQVJD4OIiIiIGnD69Gl06tTplsdwAtwIRqMR586dQ5s2bWAwGKzynCUlJQgKCsLp06etet2xo2N362NzGewug91lsLsMa3dXSuHKlSsICAhocAtmXgLRCE5OTg3+S6K5eHp68j9WAexufWwug91lsLsMdpdhze6NXXWCH4IjIiIiIofCCTARERERORROgDXl6uqK1157jWsWWhm7Wx+by2B3Gewug91l6NydH4IjIiIiIofCd4CJiIiIyKFwAkxEREREDoUTYCIiIiJyKJwAExEREZFD4QTYirp06QKDwVDrz4IFCwAA169fx4IFC+Dt7Q0PDw9MmTIF58+fN3uMvLw8REVFwd3dHb6+vli8eDEqKyslfhyb0VD3ESNG1Lpv/vz5Zo/B7papqqrCK6+8gq5du8LNzQ2hoaF46623zPZnV0rh1VdfRceOHeHm5obIyEgcP37c7HEuXryIWbNmwdPTE23btsWTTz6Jq1evWvvHsRmN6f7EE0/UOt/Hjx9v9jjsbrkrV65g4cKF6Ny5M9zc3DB06FCkpqaa7uf53jwa6s7z/c7t2rULDz30EAICAmAwGBAfH292f1Od22lpabj//vvRqlUrBAUF4b333mveH0yR1RQWFqr8/HzTn61btyoAaseOHUoppebPn6+CgoLUtm3b1P79+9WQIUPU0KFDTd9fWVmp+vbtqyIjI9WhQ4fUhg0blI+Pj1q2bJnQT2QbGur+wAMPqHnz5pkdU1xcbPp+drfc22+/rby9vVVCQoLKyclRsbGxysPDQ3300UemY1asWKG8vLxUfHy8OnLkiPrVr36lunbtqsrKykzHjB8/Xt11113q+++/V7t371bdunVTM2fOlPiRbEJjus+ZM0eNHz/e7Hy/ePGi2eOwu+UeffRRFRYWpr777jt1/Phx9dprrylPT0915swZpRTP9+bSUHee73duw4YN6qWXXlJxcXEKgFqzZo3Z/U1xbhcXFys/Pz81a9YslZGRoaKjo5Wbm5v6xz/+0Ww/FyfAgl544QUVGhqqjEajunz5snJxcVGxsbGm+3/88UcFQKWkpCilqk9CJycnVVBQYDrmf/7nf5Snp6cqLy+3+vht1c3dlaqeAL/wwgv1Hs/ulouKilJz5841u23y5Mlq1qxZSimljEaj8vf3V++//77p/suXLytXV1cVHR2tlFIqMzNTAVCpqammYzZu3KgMBoM6e/asFX4K29NQd6WqJwSTJk2q9zHY3XKlpaXK2dlZJSQkmN0+YMAA9dJLL/F8byYNdVeK53tT++UEuKnO7U8++US1a9fO7P9TlyxZonr27NlsPwsvgRBy48YNfPnll5g7dy4MBgMOHDiAiooKREZGmo7p1asXgoODkZKSAgBISUlBeHg4/Pz8TMeMGzcOJSUl+OGHH6z+M9iiX3avsWrVKvj4+KBv375YtmwZSktLTfexu+WGDh2Kbdu24dixYwCAI0eOICkpCRMmTAAA5OTkoKCgwOx89/LywuDBg83O97Zt2+Kee+4xHRMZGQknJyfs3bvXij+N7Wioe42dO3fC19cXPXv2xDPPPIMLFy6Y7mN3y1VWVqKqqgqtWrUyu93NzQ1JSUk835tJQ91r8HxvPk11bqekpGD48OFo2bKl6Zhx48YhKysLly5dapaxt2iWR6UGxcfH4/Lly3jiiScAAAUFBWjZsiXatm1rdpyfnx8KCgpMx9w8Cau5v+Y+atgvuwPAY489hs6dOyMgIABpaWlYsmQJsrKyEBcXB4Ddb8fSpUtRUlKCXr16wdnZGVVVVXj77bcxa9YsAD93q6vrzee7r6+v2f0tWrRA+/bt2b0eDXUHgPHjx2Py5Mno2rUrsrOz8cc//hETJkxASkoKnJ2d2f02tGnTBhEREXjrrbfQu3dv+Pn5ITo6GikpKejWrRvP92bSUHeA53tza6pzu6CgAF27dq31GDX3tWvXrsnHzgmwkM8//xwTJkxAQECA9FAcSl3dn376adP/Dg8PR8eOHTF69GhkZ2cjNDRUYpg275tvvsGqVavw1VdfoU+fPjh8+DAWLlyIgIAAzJkzR3p4dqsx3WfMmGE6Pjw8HP369UNoaCh27tyJ0aNHSw3d5n3xxReYO3cuAgMD4ezsjAEDBmDmzJk4cOCA9NDsWkPdeb5TfXgJhIDc3FwkJibiqaeeMt3m7++PGzdu4PLly2bHnj9/Hv7+/qZjfrkqRM3XNcdQ/erqXpfBgwcDAE6cOAGA3W/H4sWLsXTpUsyYMQPh4eGYPXs2Fi1ahOXLlwP4uVtdXW8+3wsLC83ur6ysxMWLF9m9Hg11r0tISAh8fHzMznd2t1xoaCi+++47XL16FadPn8a+fftQUVGBkJAQnu/N6Fbd68LzvWk11bkt8f+znAALWLlyJXx9fREVFWW6beDAgXBxccG2bdtMt2VlZSEvLw8REREAgIiICKSnp5udSFu3boWnpyfCwsKs9wPYqLq61+Xw4cMAgI4dOwJg99tRWloKJyfzlxdnZ2cYjUYAQNeuXeHv7292vpeUlGDv3r1m5/vly5fN3kHbvn07jEaj6R8pZK6h7nU5c+YMLly4YHa+s/vta926NTp27IhLly5h8+bNmDRpEs93K6ire114vjetpjq3IyIisGvXLlRUVJiO2bp1K3r27Nkslz8A4DJo1lZVVaWCg4PVkiVLat03f/58FRwcrLZv367279+vIiIiVEREhOn+muW4xo4dqw4fPqw2bdqkOnTowOW4GqG+7idOnFBvvvmm2r9/v8rJyVFr165VISEhavjw4aZj2N1yc+bMUYGBgabluOLi4pSPj4/6wx/+YDpmxYoVqm3btmrt2rUqLS1NTZo0qc6lc+6++261d+9elZSUpLp3787liW6hoe5XrlxRv//971VKSorKyclRiYmJasCAAap79+7q+vXrpsdhd8tt2rRJbdy4UZ08eVJt2bJF3XXXXWrw4MHqxo0bSime783lVt15vjeNK1euqEOHDqlDhw4pAOqDDz5Qhw4dUrm5uUqppjm3L1++rPz8/NTs2bNVRkaG+vrrr5W7uzuXQbMnmzdvVgBUVlZWrfvKysrUb3/7W9WuXTvl7u6uHnnkEZWfn292zKlTp9SECROUm5ub8vHxUS+++KKqqKiw1vBtVn3d8/Ly1PDhw1X79u2Vq6ur6tatm1q8eLHZOsBKsbulSkpK1AsvvKCCg4NVq1atVEhIiHrppZfMlrgxGo3qlVdeUX5+fsrV1VWNHj261t/PhQsX1MyZM5WHh4fy9PRUv/nNb9SVK1es/ePYjIa6l5aWqrFjx6oOHTooFxcX1blzZzVv3jyzJf6UYvfbERMTo0JCQlTLli2Vv7+/WrBggbp8+bLpfp7vzeNW3Xm+N40dO3YoALX+zJkzRynVdOf2kSNH1LBhw5Srq6sKDAxUK1asaNafy6DUTVsEERERERHZOV4DTEREREQOhRNgIiIiInIonAATERERkUPhBJiIiIiIHAonwERERETkUDgBJiIiIiKHwgkwERERETkUToCJiAivv/46+vfvLz0MIiKr4ASYiOgOPfHEEzAYDFixYoXZ7fHx8TAYDEKjIiKi+nACTETUBFq1aoV3330Xly5dkh4KERE1gBNgIqImEBkZCX9/fyxfvvyWxyUlJeH++++Hm5sbgoKC8Pzzz+PatWv1Hl9zacI//vEPBAUFwd3dHY8++iiKi4vNjvvss8/Qu3dvtGrVCr169cInn3xidv+SJUvQo0cPuLu7IyQkBK+88goqKirqfd7s7GyEhITg2WefhVIKubm5eOihh9CuXTu0bt0affr0wYYNGxpRxvzn+OKLL9ClSxd4eXlhxowZuHLliumYESNG4LnnnsPChQvRrl07+Pn54dNPP8W1a9fwm9/8Bm3atEG3bt2wcePGRj8vEVFdOAEmImoCzs7OeOedd/CXv/wFZ86cqfOY7OxsjB8/HlOmTEFaWhpiYmKQlJSEZ5999paPfeLECXzzzTdYt24dNm3ahEOHDuG3v/2t6f5Vq1bh1Vdfxdtvv40ff/wR77zzDl555RX861//Mh3Tpk0b/POf/0RmZiY++ugjfPrpp/jwww/rfL60tDQMGzYMjz32GP7617/CYDBgwYIFKC8vx65du5Ceno53330XHh4eFjXKzs5GfHw8EhISkJCQgO+++67WZSP/+te/4OPjg3379uG5557DM888g2nTpmHo0KE4ePAgxo4di9mzZ6O0tNSi5yYiMqOIiOiOzJkzR02aNEkppdSQIUPU3LlzlVJKrVmzRt38Mvvkk0+qp59+2ux7d+/erZycnFRZWVmdj/3aa68pZ2dndebMGdNtGzduVE5OTio/P18ppVRoaKj66quvzL7vrbfeUhEREfWO+f3331cDBw40e5677rpL7dmzR7Vr10796U9/Mjs+PDxcvf766/U+XkNee+015e7urkpKSky3LV68WA0ePNj09QMPPKCGDRtm+rqyslK1bt1azZ4923Rbfn6+AqBSUlJueyxERC2kJ+BERPbk3XffxahRo/D73/++1n1HjhxBWloaVq1aZbpNKQWj0YicnBz07t27zscMDg5GYGCg6euIiAgYjUZkZWWhTZs2yM7OxpNPPol58+aZjqmsrISXl5fp65iYGHz88cfIzs7G1atXUVlZCU9PT7PnycvLw5gxY/D2229j4cKFZvc9//zzeOaZZ7BlyxZERkZiypQp6Nevn0VtunTpgjZt2pi+7tixIwoLC82OufkxnZ2d4e3tjfDwcNNtfn5+AFDr+4iILMFLIIiImtDw4cMxbtw4LFu2rNZ9V69exX/913/h8OHDpj9HjhzB8ePHERoaelvPd/XqVQDAp59+ava4GRkZ+P777wEAKSkpmDVrFiZOnIiEhAQcOnQIL730Em7cuGH2WB06dMCgQYMQHR2NkpISs/ueeuopnDx5ErNnz0Z6ejruuece/OUvf7ForC4uLmZfGwwGGI3GBo+5+baaVTV++X1ERJbgO8BERE1sxYoV6N+/P3r27Gl2+4ABA5CZmYlu3bpZ9Hh5eXk4d+4cAgICAADff/89nJyc0LNnT/j5+SEgIAAnT57ErFmz6vz+5ORkdO7cGS+99JLpttzc3FrHubm5ISEhARMnTsS4ceOwZcsWs3dsg4KCMH/+fMyfPx/Lli3Dp59+iueee86in4WISAd8B5iIqImFh4dj1qxZ+Pjjj81uX7JkCZKTk/Hss8/i8OHDOH78ONauXdvgh+BatWqFOXPm4MiRI9i9ezeef/55PProo/D39wcAvPHGG1i+fDk+/vhjHDt2DOnp6Vi5ciU++OADAED37t2Rl5eHr7/+GtnZ2fj444+xZs2aOp+rdevWWL9+PVq0aIEJEyaY3mFeuHAhNm/ejJycHBw8eBA7duyo95INIiLdcQJMRNQM3nzzzVq/pu/Xrx++++47HDt2DPfffz/uvvtuvPrqq6Z3duvTrVs3TJ48GRMnTsTYsWPRr18/s2XOnnrqKXz22WdYuXIlwsPD8cADD+Cf//wnunbtCgD41a9+hUWLFuHZZ59F//79kZycjFdeeaXe5/Pw8MDGjRuhlEJUVBSuXbuGqqoqLFiwAL1798b48ePRo0cPszF06dIFr7/++m2UIiKyPoNSSkkPgoiI6vb6668jPj4ehw8flh5KvUpLS+Ht7Y2NGzdixIgR0sMhImoQ3wEmIqI7smPHDowaNYqTXyKyGZwAExHRHYmKisL69eulh0FE1Gi8BIKIiIiIHArfASYiIiIih8IJMBERERE5FE6AiYiIiMihcAJMRERERA6FE2AiIiIiciicABMRERGRQ+EEmIiIiIgcCifARERERORQOAEmIiIiIofy/wH6iMhH613YRgAAAABJRU5ErkJggg==", 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" ] @@ -188,22 +199,159 @@ "model_neon = calmodel.components[0]\n", "fig,ax=plt.subplots(1,1,figsize=(8,8))\n", "\n", - "x = model_neon.model.y\n", - "predicted_x = model_neon.model(x.reshape(-1, 1))\n", - "plt.plot(x,predicted_x,color=\"red\",label=\"Calibration curve\")\n", - "plt.scatter(x,model_neon.model.d,marker=\"+\",color=\"blue\",label=\"Matched peaks\")\n", - "plt.xlabel(\"Ne peaks, nm\")\n", - "plt.ylabel(\"Reference peaks, nm\")\n", - "plt.grid()\n", - "plt.legend()\n", - "plt.show()\n", - "#model_neon.matched_peaks " + "model_neon.model.plot(ax=ax )\n", + "\n", + "# one can apply the calibration curve to arbitrary vector\n", + "# x_range = np.linspace(700,1000, 100) \n", + "# predicted_x = model_neon.model(x_range.reshape(-1, 1)) \n", + "# ax.plot(x_range,predicted_x,marker='.')\n" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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WavelengthIntensitySourceCluster
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1801.3365250.013877spe24
2808.4180430.055537spe23
3811.8534450.036017spe38
4813.8205260.084513spe1
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96953.4704600.068010reference12
97954.7833700.030227reference12
98957.7593000.143577reference34
99966.5995620.219144reference2
100980.9102840.118388reference14
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101 rows × 4 columns

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" + ], + "text/plain": [ + " Wavelength Intensity Source Cluster\n", + "0 794.473447 0.051019 spe 7\n", + "1 801.336525 0.013877 spe 24\n", + "2 808.418043 0.055537 spe 23\n", + "3 811.853445 0.036017 spe 38\n", + "4 813.820526 0.084513 spe 1\n", + ".. ... ... ... ...\n", + "96 953.470460 0.068010 reference 12\n", + "97 954.783370 0.030227 reference 12\n", + "98 957.759300 0.143577 reference 34\n", + "99 966.599562 0.219144 reference 2\n", + "100 980.910284 0.118388 reference 14\n", + "\n", + "[101 rows x 4 columns]" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "model_neon.matched_peaks " + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, "outputs": [], "source": [ "# calmodel.components[0].matched_peaks" @@ -218,7 +366,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -228,9 +376,88 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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amplitudeamplitude_stderrcentercenter_stderrsigmasigma_stderrexponexpon_stderrskewskew_stderrfwhmfwhm_stderrheightheight_stderrpositionposition_stderr
g00_p3414019.755477None520.451121None3.966692None1.435542None0.326552None6.60104None49696.126969None519.999956None
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" + ], + "text/plain": [ + " amplitude amplitude_stderr center center_stderr sigma \\\n", + "g00_p3 414019.755477 None 520.451121 None 3.966692 \n", + "\n", + " sigma_stderr expon expon_stderr skew skew_stderr fwhm \\\n", + "g00_p3 None 1.435542 None 0.326552 None 6.60104 \n", + "\n", + " fwhm_stderr height height_stderr position position_stderr \n", + "g00_p3 None 49696.126969 None 519.999956 None " + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Let's verfy the peak in the calibrated Si is at the right position \n", " \n", @@ -242,7 +469,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -251,16 +478,27 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# plots\n", "fig, ax = plt.subplots(1,1,figsize=(12,3))\n", "spe_sil.plot(ax=ax,label=\"Si original\")\n", "spe_sil_calibrated.plot(ax=ax,label=\"Si calibrated\")\n", "ax.set_xlabel('Raman shift [cm$^{-1}$]')\n", - "ax.axvline(x=520.45, color='red', linestyle='--', linewidth=2, label=\"Reference 520.45 cm-1\")\n", + "ax.axvline(x=520.45, color='red', linestyle='-', linewidth=2, label=\"Reference 520.45 cm-1\")\n", "ax.set_xlim(520.45-20,520.45+20)\n", "ax.axvline(x=si_peak_found, color='black', linestyle='--', linewidth=2, label=\"Si peak at {:.3f} cm-1\".format(si_peak_found))\n", "ax.legend()\n", @@ -270,9 +508,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# apply calibration to another spectrum (e.g. PST)\n", "spe_pst = rc2.spectrum.from_test_spe(\n", @@ -317,7 +566,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -335,12 +584,12 @@ " fit_peaks_kw = {}\n", " # options for fitting peaks\n", "\n", - " calmodel = CalibrationModel(laser_wl)\n", + " calmodel1 = CalibrationModel(laser_wl)\n", " # create CalibrationModel class. it does not derive a curve at this moment!\n", - " calmodel.prominence_coeff = 3\n", - " find_kw[\"prominence\"] = spe_neon.y_noise_MAD() * calmodel.prominence_coeff\n", + " calmodel1.prominence_coeff = 3\n", + " find_kw[\"prominence\"] = spe_neon.y_noise_MAD() * calmodel1.prominence_coeff\n", "\n", - " model_neon = calmodel.derive_model_curve(\n", + " model_neon1 = calmodel1.derive_model_curve(\n", " spe=spe_neon,\n", " ref=neon_wl,\n", " spe_units=\"cm-1\",\n", @@ -348,7 +597,8 @@ " find_kw=find_kw,\n", " fit_peaks_kw=fit_peaks_kw,\n", " should_fit=fit_neon_peaks,\n", - " name=\"Neon calibration\"\n", + " name=\"Neon calibration\",\n", + " match_method=\"cluster\"\n", " )\n", " # now derive_model_curve finds peaks, fits peaks, matches peaks and derives the calibration curve\n", " # and model_neon.process() could be applied to Si or other spectra\n", @@ -359,11 +609,19 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Neon calibration spe (cm-1) reference (nm) model (nm) Calibration curve 37 points) thin_plate_spline\n" + ] + } + ], "source": [ - "print(model_neon)" + "print(model_neon1)" ] }, { @@ -377,23 +635,202 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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centerfwhmheightamplitude
0770.3945320.0791263968.5096693.058729e+01
11013.0719610.4836024376.8354647.932729e+18
2776.3771210.855382156.7830073.325932e+03
3775.5742490.0995642388.8753283.880813e+01
4780.9860590.165853679.8987027.275547e+01
...............
941035.7602921.457904103.4507692.380852e+02
961039.7925991.145680234.1886542.268111e+03
971046.8349560.28970720.1170351.362162e-03
981048.5700523.076862208.1241251.691060e+03
991053.3414200.216619165.9492793.826529e+01
\n", + "

98 rows × 4 columns

\n", + "
" + ], + "text/plain": [ + " center fwhm height amplitude\n", + "0 770.394532 0.079126 3968.509669 3.058729e+01\n", + "1 1013.071961 0.483602 4376.835464 7.932729e+18\n", + "2 776.377121 0.855382 156.783007 3.325932e+03\n", + "3 775.574249 0.099564 2388.875328 3.880813e+01\n", + "4 780.986059 0.165853 679.898702 7.275547e+01\n", + ".. ... ... ... ...\n", + "94 1035.760292 1.457904 103.450769 2.380852e+02\n", + "96 1039.792599 1.145680 234.188654 2.268111e+03\n", + "97 1046.834956 0.289707 20.117035 1.362162e-03\n", + "98 1048.570052 3.076862 208.124125 1.691060e+03\n", + "99 1053.341420 0.216619 165.949279 3.826529e+01\n", + "\n", + "[98 rows x 4 columns]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Quick plott of Ne peaks (blue) and references (red)\n", - "calmodel.plot()\n", - "model_neon.peaks" + "calmodel1.plot()\n", + "model_neon1.peaks" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(1,1)\n", + "model_neon.model.plot(ax=ax)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# we can calibrate Ne according to the calibration curve derived using Neon peaks\n", - "spe_ne_cm1 = model_neon.process(spe_neon,convert_back=True)\n", + "spe_ne_cm1 = model_neon1.process(spe_neon,convert_back=True)\n", "\n", "# we can calibrate Si according to the calibration curve derived using Neon peaks\n", "#spe_sil_x1_cm1 = model_neon.process(spe_sil,convert_back=True)\n", @@ -449,7 +886,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ @@ -463,11 +900,11 @@ " spe_sil_ne_calib = model_neon.process(\n", " spe_sil, spe_units=\"cm-1\", convert_back=False\n", " ) \n", - " calmodel.prominence_coeff = 3\n", + " calmodel1.prominence_coeff = 3\n", " find_kw[\"prominence\"] = (\n", " spe_sil_ne_calib.y_noise_MAD() * calmodel.prominence_coeff\n", " ) \n", - " calmodel.derive_model_zero(\n", + " calmodel1.derive_model_zero(\n", " spe=spe_sil_ne_calib,\n", " ref={520.45: 1},\n", " spe_units=model_neon.model_units,\n", @@ -491,26 +928,102 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 21, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Neon calibration spe (cm-1) reference (nm) model (nm) Calibration curve 37 points) thin_plate_spline\n", + "\n", + "Laser zeroing using 818.3166492896055 nm 520.45 cm-1 (Pearson4) spe (nm) reference (cm-1) model (nm) 818.3166492896055\n" + ] + } + ], "source": [ "# Now calmodel has two components , derived with Ne and Si respectively\n", "\n", "# we can access them individually (optional)\n", - "model_neon= calmodel.components[0]\n", + "model_neon= calmodel1.components[0]\n", "print(type(model_neon))\n", "print(model_neon)\n", - "model_si= calmodel.components[1]\n", + "model_si= calmodel1.components[1]\n", "print(type(model_si))\n", "print(model_si)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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centerfwhmheightamplitude
3818.3166490.44196349694.12398927716.114810
4825.1897650.69358247.2035272643.247667
5827.9096350.09095625.814879165.175637
\n", + "
" + ], + "text/plain": [ + " center fwhm height amplitude\n", + "3 818.316649 0.441963 49694.123989 27716.114810\n", + "4 825.189765 0.693582 47.203527 2643.247667\n", + "5 827.909635 0.090956 25.814879 165.175637" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# These are the Si peaks (in nm) . The top peak is ALWAYS converted to the reference value (520.45 cm-1) due to laser zeroing formula\n", "model_si.peaks.head()" @@ -518,9 +1031,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 23, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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amplitudeamplitude_stderrcentercenter_stderrsigmasigma_stderrfwhmfwhm_stderrheightheight_stderr
g00_p3144887.1890487893.266528520.1362930.0271062.0104640.0449344.7342800.10581228750.3972151005.485276
g00_p4228512.2314617664.872371519.1304140.0712344.4447980.09002910.4667000.2120039440.7054731027.153094
g00_p5104797.6569628320.886053553.3080946.42056573.0892057.0845096.63644016.682743572.01632443.969297
g00_p019828.88721619556.469822374.67785119.58851117.78634812.45871441.88364929.338029444.755816170.601206
g00_p27076.25989821049.769415407.04364319.29417112.24982920.0458667.22340247.204407230.453778365.257837
\n", + "
" + ], + "text/plain": [ + " amplitude amplitude_stderr center center_stderr sigma \\\n", + "g00_p3 144887.189048 7893.266528 520.136293 0.027106 2.010464 \n", + "g00_p4 228512.231461 7664.872371 519.130414 0.071234 4.444798 \n", + "g00_p5 104797.656962 8320.886053 553.308094 6.420565 73.089205 \n", + "g00_p0 19828.887216 19556.469822 374.677851 19.588511 17.786348 \n", + "g00_p2 7076.259898 21049.769415 407.043643 19.294171 12.249829 \n", + "\n", + " sigma_stderr fwhm fwhm_stderr height height_stderr \n", + "g00_p3 0.044934 4.734280 0.105812 28750.397215 1005.485276 \n", + "g00_p4 0.090029 10.466700 0.212003 9440.705473 1027.153094 \n", + "g00_p5 7.084509 6.636440 16.682743 572.016324 43.969297 \n", + "g00_p0 12.458714 41.883649 29.338029 444.755816 170.601206 \n", + "g00_p2 20.045866 7.223402 47.204407 230.453778 365.257837 " + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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amplitudeamplitude_stderrcentercenter_stderrsigmasigma_stderrexponexpon_stderrskewskew_stderrfwhmfwhm_stderrheightheight_stderrpositionposition_stderr
g00_p3414019.755477None520.451121None3.966692None1.435542None0.326552None6.601040None49696.126969None519.999956None
g00_p0333409.660069None-7877.365560None14221.017635None962.656215None-122.251949None127.955702None409.416069None-6974.370756None
g00_p438846.504866None650.172112None-1262.753306None925.501572None4.934124None10.187254None47.203527None653.538169None
g00_p12584.910942None437.513935None-21.496292None142.199390None4.645352None1.999679None28.363363None437.865054None
g00_p52272.541046None681.661877None-52.025217None778.151148None17.500046None1.327288None25.814879None682.246881None
\n", + "
" + ], + "text/plain": [ + " amplitude amplitude_stderr center center_stderr \\\n", + "g00_p3 414019.755477 None 520.451121 None \n", + "g00_p0 333409.660069 None -7877.365560 None \n", + "g00_p4 38846.504866 None 650.172112 None \n", + "g00_p1 2584.910942 None 437.513935 None \n", + "g00_p5 2272.541046 None 681.661877 None \n", + "\n", + " sigma sigma_stderr expon expon_stderr skew \\\n", + "g00_p3 3.966692 None 1.435542 None 0.326552 \n", + "g00_p0 14221.017635 None 962.656215 None -122.251949 \n", + "g00_p4 -1262.753306 None 925.501572 None 4.934124 \n", + "g00_p1 -21.496292 None 142.199390 None 4.645352 \n", + "g00_p5 -52.025217 None 778.151148 None 17.500046 \n", + "\n", + " skew_stderr fwhm fwhm_stderr height height_stderr \\\n", + "g00_p3 None 6.601040 None 49696.126969 None \n", + "g00_p0 None 127.955702 None 409.416069 None \n", + "g00_p4 None 10.187254 None 47.203527 None \n", + "g00_p1 None 1.999679 None 28.363363 None \n", + "g00_p5 None 1.327288 None 25.814879 None \n", + "\n", + " position position_stderr \n", + "g00_p3 519.999956 None \n", + "g00_p0 -6974.370756 None \n", + "g00_p4 653.538169 None \n", + "g00_p1 437.865054 None \n", + "g00_p5 682.246881 None " + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fig, ax1 = plt.subplots(1,1,figsize=(15,3))\n", "\n", "spe_sil.plot(label=\"Si original\",ax=ax1)\n", - "spe_sil_calibrated = calmodel.apply_calibration_x(spe_sil)\n", + "spe_sil_calibrated = calmodel1.apply_calibration_x(spe_sil)\n", "spe_sil_calibrated.plot(ax=ax1,label=\"Si calibrated\")\n", "ax1.set_xlabel('Raman shift [cm$^{-1}$]')\n", "ax1.set_xlim(520-20,520+20)\n", - "\n", + "ax.axvline(x=520.45, color='red', linestyle='-', linewidth=2, label=\"Reference 520.45 cm-1\")\n", "spe_test = spe_sil_calibrated #.trim_axes(method='x-axis',boundaries=(si_peak-50,si_peak+50))\n", "fitres = find_peaks(spe_test,profile=\"Pearson4\")\n", " \n", From eb199d689c5ab53d15c2a4799bf459e8d1f0e56e Mon Sep 17 00:00:00 2001 From: vedina Date: Thu, 31 Oct 2024 08:14:42 +0200 Subject: [PATCH 08/38] sanitize meta attributes names > UnicodeEncodeError: 'utf-8' codec can't encode character '\udcb0' in position 22: surrogates not allowed --- src/ramanchada2/io/HSDS.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/src/ramanchada2/io/HSDS.py b/src/ramanchada2/io/HSDS.py index 416609e8..15773aae 100644 --- a/src/ramanchada2/io/HSDS.py +++ b/src/ramanchada2/io/HSDS.py @@ -67,18 +67,22 @@ def write_nexus(filename: str, class DatasetExistsError(Exception): pass +def sanitize_key(key: str) -> str: + return ''.join(c if ord(c) < 128 else '_' for c in key) @validate_call(config=dict(arbitrary_types_allowed=True)) def write_cha(filename: str, dataset: str, x: npt.NDArray, y: npt.NDArray, meta: Dict, h5module=None): data = np.stack([x, y]) + sanitized_meta = {sanitize_key(k): v for k, v in meta.items()} try: _h5 = h5module or h5py with _h5.File(filename, mode='a') as h5: if h5.get(dataset) is None: ds = h5.create_dataset(dataset, data=data) - ds.attrs.update(meta) + ds.attrs.update(sanitized_meta) + else: raise DatasetExistsError(f'dataset `{dataset}` already exists in file `{filename}`') except ValueError as e: From 7cf2ac039b7c50d1e62797adf01639a29cf7baad Mon Sep 17 00:00:00 2001 From: vedina Date: Thu, 31 Oct 2024 13:07:51 +0200 Subject: [PATCH 09/38] demo notebook --- examples/publication/demo.ipynb | 667 ++++++++++++-------------------- 1 file changed, 256 insertions(+), 411 deletions(-) diff --git a/examples/publication/demo.ipynb b/examples/publication/demo.ipynb index cec25697..b92e9020 100644 --- a/examples/publication/demo.ipynb +++ b/examples/publication/demo.ipynb @@ -26,12 +26,12 @@ "outputs": [], "source": [ "#\n", - "def find_peaks(spe_test,profile=\"Gaussian\"):\n", + "def find_peaks(spe_test,profile=\"Gaussian\",vary_baseline=False):\n", " find_kw={\"wlen\": 200, \"width\": 1, \"sharpening\" : None}\n", " find_kw[\"prominence\"] = spe_test.y_noise_MAD() * 3\n", " cand = spe_test.find_peak_multipeak(**find_kw)\n", " fit_kw = {}\n", - " return spe_test.fit_peak_multimodel(profile=profile,candidates=cand, **fit_kw ,no_fit=False) " + " return spe_test.fit_peak_multimodel(profile=profile,candidates=cand, **fit_kw ,no_fit=False,vary_baseline=vary_baseline) , cand" ] }, { @@ -84,7 +84,7 @@ { "data": { "text/plain": [ - "" + "Text(0.5, 0, 'Raman shift [cm$^{-1}$]')" ] }, "execution_count": 5, @@ -93,7 +93,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -112,14 +112,24 @@ " sample=[\"S0B\"], provider=[provider], device=[device], OP=[optical_path], laser_wl=[str(laser_wl)]\n", " )\n", "\n", + "_crop = 50 # this may affect Pearson4 fitting quality\n", "spe_sil = spe_sil.trim_axes(\n", - " method=\"x-axis\", boundaries=(max(100, 520.45 - 200), 520.45 + 200)\n", + " method=\"x-axis\", boundaries=(max(100, 520.45 - _crop), 520.45 + _crop)\n", " ).subtract_baseline_rc1_snip(niter= 40)\n", "\n", + "normalize_strategy = \"unity\" # None\n", + "if normalize_strategy is not None:\n", + " spe_neon = spe_neon.normalize(strategy=normalize_strategy)\n", + " spe_sil = spe_sil.normalize(strategy=normalize_strategy)\n", + "\n", "# Plot spectra\n", "fig, (ax1,ax2) = plt.subplots(1,2,figsize=(12,3))\n", "spe_neon.plot(label='Ne',ax=ax1)\n", - "spe_sil.plot(label=\"Si\",ax=ax2)" + "spe_sil.plot(label=\"Si\",ax=ax2)\n", + "ax2.grid()\n", + "ax1.grid()\n", + "ax1.set_xlabel('Raman shift [cm$^{-1}$]')\n", + "ax2.set_xlabel('Raman shift [cm$^{-1}$]')" ] }, { @@ -138,8 +148,8 @@ "name": "stdout", "output_type": "stream", "text": [ - " Neon calibration spe (cm-1) reference (nm) model (nm) Calibration curve 37 points) thin_plate_spline\n", - " Laser zeroing using 818.3166492896055 nm 520.45 cm-1 (Pearson4) spe (nm) reference (cm-1) model (nm) 818.3166492896055\n" + " Neon calibration spe (cm-1) reference (nm) model (nm) Calibration curve 28 points) thin_plate_spline\n", + " Laser zeroing using 818.5219107638882 nm 520.45 cm-1 (Pearson4) spe (nm) reference (cm-1) model (nm) 818.5219107638882\n" ] } ], @@ -169,22 +179,12 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { - "text/plain": [ - "[]" - ] - }, - "execution_count": 37, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -242,38 +242,38 @@ " \n", " \n", " 0\n", - " 794.473447\n", - " 0.051019\n", + " 794.473449\n", + " 0.052645\n", " spe\n", - " 7\n", + " 4\n", " \n", " \n", " 1\n", - " 801.336525\n", - " 0.013877\n", + " 801.336700\n", + " 0.013920\n", " spe\n", - " 24\n", + " 11\n", " \n", " \n", " 2\n", - " 808.418043\n", - " 0.055537\n", + " 826.142860\n", + " 0.010924\n", " spe\n", - " 23\n", + " 1\n", " \n", " \n", " 3\n", - " 811.853445\n", - " 0.036017\n", + " 826.805643\n", + " 0.037337\n", " spe\n", - " 38\n", + " 1\n", " \n", " \n", " 4\n", - " 813.820526\n", - " 0.084513\n", + " 830.241714\n", + " 0.324223\n", " spe\n", - " 1\n", + " 26\n", " \n", " \n", " ...\n", @@ -283,60 +283,60 @@ " ...\n", " \n", " \n", - " 96\n", + " 86\n", " 953.470460\n", " 0.068010\n", " reference\n", - " 12\n", + " 15\n", " \n", " \n", - " 97\n", + " 87\n", " 954.783370\n", " 0.030227\n", " reference\n", - " 12\n", + " 50\n", " \n", " \n", - " 98\n", + " 88\n", " 957.759300\n", " 0.143577\n", " reference\n", - " 34\n", + " 28\n", " \n", " \n", - " 99\n", + " 89\n", " 966.599562\n", " 0.219144\n", " reference\n", - " 2\n", + " 21\n", " \n", " \n", - " 100\n", + " 90\n", " 980.910284\n", " 0.118388\n", " reference\n", - " 14\n", + " 3\n", " \n", " \n", "\n", - "

101 rows × 4 columns

\n", + "

91 rows × 4 columns

\n", "" ], "text/plain": [ - " Wavelength Intensity Source Cluster\n", - "0 794.473447 0.051019 spe 7\n", - "1 801.336525 0.013877 spe 24\n", - "2 808.418043 0.055537 spe 23\n", - "3 811.853445 0.036017 spe 38\n", - "4 813.820526 0.084513 spe 1\n", - ".. ... ... ... ...\n", - "96 953.470460 0.068010 reference 12\n", - "97 954.783370 0.030227 reference 12\n", - "98 957.759300 0.143577 reference 34\n", - "99 966.599562 0.219144 reference 2\n", - "100 980.910284 0.118388 reference 14\n", + " Wavelength Intensity Source Cluster\n", + "0 794.473449 0.052645 spe 4\n", + "1 801.336700 0.013920 spe 11\n", + "2 826.142860 0.010924 spe 1\n", + "3 826.805643 0.037337 spe 1\n", + "4 830.241714 0.324223 spe 26\n", + ".. ... ... ... ...\n", + "86 953.470460 0.068010 reference 15\n", + "87 954.783370 0.030227 reference 50\n", + "88 957.759300 0.143577 reference 28\n", + "89 966.599562 0.219144 reference 21\n", + "90 980.910284 0.118388 reference 3\n", "\n", - "[101 rows x 4 columns]" + "[91 rows x 4 columns]" ] }, "execution_count": 8, @@ -420,37 +420,37 @@ " \n", " \n", " \n", - " g00_p3\n", - " 414019.755477\n", - " None\n", - " 520.451121\n", - " None\n", - " 3.966692\n", - " None\n", - " 1.435542\n", - " None\n", - " 0.326552\n", - " None\n", - " 6.60104\n", - " None\n", - " 49696.126969\n", - " None\n", - " 519.999956\n", - " None\n", + " g00_p0\n", + " 2.170065\n", + " 0.022737\n", + " 520.454072\n", + " 0.095363\n", + " 4.0512\n", + " 0.140769\n", + " 1.525885\n", + " 0.065628\n", + " 0.387814\n", + " 0.056972\n", + " 6.531639\n", + " 0.092356\n", + " 0.269448\n", + " 0.001995\n", + " 519.939252\n", + " 0.030266\n", " \n", " \n", "\n", "" ], "text/plain": [ - " amplitude amplitude_stderr center center_stderr sigma \\\n", - "g00_p3 414019.755477 None 520.451121 None 3.966692 \n", + " amplitude amplitude_stderr center center_stderr sigma \\\n", + "g00_p0 2.170065 0.022737 520.454072 0.095363 4.0512 \n", "\n", - " sigma_stderr expon expon_stderr skew skew_stderr fwhm \\\n", - "g00_p3 None 1.435542 None 0.326552 None 6.60104 \n", + " sigma_stderr expon expon_stderr skew skew_stderr fwhm \\\n", + "g00_p0 0.140769 1.525885 0.065628 0.387814 0.056972 6.531639 \n", "\n", - " fwhm_stderr height height_stderr position position_stderr \n", - "g00_p3 None 49696.126969 None 519.999956 None " + " fwhm_stderr height height_stderr position position_stderr \n", + "g00_p0 0.092356 0.269448 0.001995 519.939252 0.030266 " ] }, "execution_count": 11, @@ -462,9 +462,9 @@ "# Let's verfy the peak in the calibrated Si is at the right position \n", " \n", "\n", - "fitres = find_peaks(spe_sil_calibrated,profile=\"Pearson4\")\n", + "fitres, cand = find_peaks(spe_sil_calibrated,profile=\"Pearson4\")\n", "df = fitres.to_dataframe_peaks().sort_values(by=\"height\",ascending=False)\n", - "df.head(1)" + "df" ] }, { @@ -483,7 +483,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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", + "image/png": 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", "text/plain": [ "
" ] @@ -616,7 +616,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Neon calibration spe (cm-1) reference (nm) model (nm) Calibration curve 37 points) thin_plate_spline\n" + "Neon calibration spe (cm-1) reference (nm) model (nm) Calibration curve 28 points) thin_plate_spline\n" ] } ], @@ -668,38 +668,38 @@ " \n", " \n", " 0\n", - " 770.394532\n", + " 770.345475\n", " 0.079126\n", - " 3968.509669\n", - " 3.058729e+01\n", + " 0.002118\n", + " 3.680250e-05\n", " \n", " \n", " 1\n", - " 1013.071961\n", + " 1014.011126\n", " 0.483602\n", - " 4376.835464\n", - " 7.932729e+18\n", + " 0.005679\n", + " 1.379439e+13\n", " \n", " \n", " 2\n", - " 776.377121\n", + " 775.910309\n", " 0.855382\n", - " 156.783007\n", - " 3.325932e+03\n", + " 0.000205\n", + " 3.125786e-03\n", " \n", " \n", " 3\n", - " 775.574249\n", - " 0.099564\n", - " 2388.875328\n", - " 3.880813e+01\n", + " 775.325930\n", + " 0.497821\n", + " 0.000028\n", + " 5.773160e-13\n", " \n", " \n", " 4\n", - " 780.986059\n", - " 0.165853\n", - " 679.898702\n", - " 7.275547e+01\n", + " 780.913881\n", + " 0.829264\n", + " 0.000128\n", + " 1.582666e-04\n", " \n", " \n", " ...\n", @@ -710,38 +710,38 @@ " \n", " \n", " 94\n", - " 1035.760292\n", + " 1035.760289\n", " 1.457904\n", - " 103.450769\n", - " 2.380852e+02\n", + " 0.000134\n", + " 3.089470e-04\n", " \n", " \n", " 96\n", - " 1039.792599\n", + " 1042.301549\n", " 1.145680\n", - " 234.188654\n", - " 2.268111e+03\n", + " 0.000302\n", + " 5.367588e-03\n", " \n", " \n", " 97\n", - " 1046.834956\n", - " 0.289707\n", - " 20.117035\n", - " 1.362162e-03\n", + " 1046.575232\n", + " 0.057941\n", + " 0.000158\n", + " 3.600909e-06\n", " \n", " \n", " 98\n", - " 1048.570052\n", - " 3.076862\n", - " 208.124125\n", - " 1.691060e+03\n", + " 1049.850632\n", + " 2.394785\n", + " 0.000144\n", + " 3.664941e-04\n", " \n", " \n", " 99\n", - " 1053.341420\n", - " 0.216619\n", - " 165.949279\n", - " 3.826529e+01\n", + " 1053.328416\n", + " 0.217359\n", + " 0.000218\n", + " 5.046270e-05\n", " \n", " \n", "\n", @@ -749,18 +749,18 @@ "" ], "text/plain": [ - " center fwhm height amplitude\n", - "0 770.394532 0.079126 3968.509669 3.058729e+01\n", - "1 1013.071961 0.483602 4376.835464 7.932729e+18\n", - "2 776.377121 0.855382 156.783007 3.325932e+03\n", - "3 775.574249 0.099564 2388.875328 3.880813e+01\n", - "4 780.986059 0.165853 679.898702 7.275547e+01\n", - ".. ... ... ... ...\n", - "94 1035.760292 1.457904 103.450769 2.380852e+02\n", - "96 1039.792599 1.145680 234.188654 2.268111e+03\n", - "97 1046.834956 0.289707 20.117035 1.362162e-03\n", - "98 1048.570052 3.076862 208.124125 1.691060e+03\n", - "99 1053.341420 0.216619 165.949279 3.826529e+01\n", + " center fwhm height amplitude\n", + "0 770.345475 0.079126 0.002118 3.680250e-05\n", + "1 1014.011126 0.483602 0.005679 1.379439e+13\n", + "2 775.910309 0.855382 0.000205 3.125786e-03\n", + "3 775.325930 0.497821 0.000028 5.773160e-13\n", + "4 780.913881 0.829264 0.000128 1.582666e-04\n", + ".. ... ... ... ...\n", + "94 1035.760289 1.457904 0.000134 3.089470e-04\n", + "96 1042.301549 1.145680 0.000302 5.367588e-03\n", + "97 1046.575232 0.057941 0.000158 3.600909e-06\n", + "98 1049.850632 2.394785 0.000144 3.664941e-04\n", + "99 1053.328416 0.217359 0.000218 5.046270e-05\n", "\n", "[98 rows x 4 columns]" ] @@ -771,9 +771,9 @@ }, { "data": { - "image/png": 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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -781,45 +781,31 @@ } ], "source": [ - "# Quick plott of Ne peaks (blue) and references (red)\n", - "calmodel1.plot()\n", + "# Quick plot of Ne peaks (blue) and references (red)\n", + "fig, (ax , ax1) = plt.subplots(1,2,figsize=(15,5))\n", + "ax.grid()\n", + "ax1.grid()\n", + "calmodel1.plot(ax=ax)\n", + "model_neon.model.plot(ax=ax1)\n", + "\n", "model_neon1.peaks" ] }, { - "cell_type": "code", - "execution_count": 18, + "cell_type": "markdown", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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", 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", "text/plain": [ "
" ] @@ -848,7 +834,7 @@ "\n", "spe_sil_x1_nm = model_neon.process(spe_sil,convert_back=False)\n", "spe_sil_x1_nm.plot(ax=ax2,label=\"Si (Ne calibrated)\")\n", - "ax2.set_xlabel('waelength [nm]')\n", + "ax2.set_xlabel('wavelength [nm]')\n", "ax2.grid()\n", "\n", "\n", @@ -886,7 +872,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -928,7 +914,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -936,9 +922,9 @@ "output_type": "stream", "text": [ "\n", - "Neon calibration spe (cm-1) reference (nm) model (nm) Calibration curve 37 points) thin_plate_spline\n", + "Neon calibration spe (cm-1) reference (nm) model (nm) Calibration curve 28 points) thin_plate_spline\n", "\n", - "Laser zeroing using 818.3166492896055 nm 520.45 cm-1 (Pearson4) spe (nm) reference (cm-1) model (nm) 818.3166492896055\n" + "Laser zeroing using 818.5219107638882 nm 520.45 cm-1 (Pearson4) spe (nm) reference (cm-1) model (nm) 818.5219107638882\n" ] } ], @@ -956,7 +942,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -988,38 +974,22 @@ " \n", " \n", " \n", - " 3\n", - " 818.316649\n", - " 0.441963\n", - " 49694.123989\n", - " 27716.114810\n", - " \n", - " \n", - " 4\n", - " 825.189765\n", - " 0.693582\n", - " 47.203527\n", - " 2643.247667\n", - " \n", - " \n", - " 5\n", - " 827.909635\n", - " 0.090956\n", - " 25.814879\n", - " 165.175637\n", + " 0\n", + " 818.521911\n", + " 0.437399\n", + " 0.269452\n", + " 0.145362\n", " \n", " \n", "\n", "" ], "text/plain": [ - " center fwhm height amplitude\n", - "3 818.316649 0.441963 49694.123989 27716.114810\n", - "4 825.189765 0.693582 47.203527 2643.247667\n", - "5 827.909635 0.090956 25.814879 165.175637" + " center fwhm height amplitude\n", + "0 818.521911 0.437399 0.269452 0.145362" ] }, - "execution_count": 22, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -1031,12 +1001,12 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 22, "metadata": {}, "outputs": [ { "data": { - "image/png": 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TWQzDMHSWHn/8cb3//vvKyMiosu/48eNq3LixlixZot/97neSpG+//Vbt27dXenq6evfureXLl+s3v/mNDh48aI52W7hwoaZMmaLDhw8rODhYU6ZM0bJly7Rjxw7z2Lfddptyc3O1YsUKSVKvXr10xRVX6Pnnn5dUNkItMTFREyZM0COPPHK2p6Pjx48rOjpaP/74oyIjI8/6eRcrh8OhlStXqn///rLb7b7uDuoI6g6+QN3B26g5+AJ1B1+g7uAL1B18obq6y8vLU2JionJzcxUVFXXOx67RNFJJ2rNnjxISEhQaGqrk5GQ9/fTTatasmbZu3SqHw6GUlBSzbbt27dSsWTMzbEtPT1dSUpLHtNLU1FTde++92rlzp7p27ar09HSPY1S0mThxoiSptLRUW7du1dSpU839VqtVKSkpSk9PP23fS0pKVFJSYj7Oz8+XJIWFhSksLKymb8VFJygoSOHh4QoLC+MCBa+h7uAL1B28jZqDL1B38AXqDr5A3cEXqqs7h8MhSed9q7EahW29evXS4sWL1bZtW2VlZWnmzJm65pprtGPHDmVnZys4OFjR0dEez4mLi1N2drYkKTs72yNoq9hfse90bfLy8lRUVKRjx47J5XJV26bi3nGn8vTTT1e555wkrVy5UuHh4Wd+A/xEWlqar7uAOoi6gy9Qd/A2ag6+QN3BF6g7+AJ1B1+oXHeFhYW1cswahW0DBw40v+/UqZN69eql5s2ba+nSpX4xMmzq1KmaNGmS+bhieGD//v0DZhppWlqa+vXrx/8GwGuoO/gCdQdvo+bgC9QdfIG6gy9Qd/CF6uouLy+vVo5d42mklUVHR+uyyy7T3r171a9fP5WWlio3N9djdFtOTo7i4+MlSfHx8dq0aZPHMXJycsx9FX9WbKvcJjIyUmFhYbLZbLLZbNW2qTjGqYSEhCgkJKTKdrvdHlB/oQPtfOAfqDv4AnUHb6Pm4AvUHXyBuoMvUHfwhcp1V1v1d15h24kTJ7Rv3z7dfvvt6t69u+x2u1avXq1hw4ZJknbv3q3MzEwlJydLkpKTk/Xkk0/q0KFDio2NlVQ2XC8yMlIdOnQw23z88ccer5OWlmYeIzg4WN27d9fq1as1ZMgQSWULJKxevVrjx48/n9MBAAAAAADnwTAMOZ1OuVyus36Ow+FQUFCQiouLa/Q8oKZsNpuCgoLO+55sZ1KjsO2hhx7STTfdpObNm+vgwYN67LHHZLPZNHz4cEVFRWnMmDGaNGmSYmJiFBkZqQkTJig5OVm9e/eWJPXv318dOnTQ7bffrmeeeUbZ2dmaNm2axo0bZ444u+eee/T888/r4Ycf1p133qk1a9Zo6dKlWrZsmdmPSZMmaeTIkerRo4d69uypefPmqaCgQKNHj67FtwYAAAAAAJyt0tJSZWVl1fi+V4ZhKD4+Xj/++OMFD0GA8PBwNWnS5ILWWo3Ctp9++knDhw/XkSNH1LhxY1199dX68ssv1bhxY0nS3LlzZbVaNWzYMJWUlCg1NVUvvPCC+XybzaaPPvpI9957r5KTk1WvXj2NHDlSs2bNMtu0bNlSy5Yt0wMPPKD58+eradOmeuWVV5Sammq2ufXWW3X48GHNmDFD2dnZ6tKli1asWFFl0QQAAAAAAHDhud1u7d+/XzabTQkJCQoODj7rMMPtduvEiROKiIiQ1Wq9wD1FXWUYhkpLS3X48GHt379fLVq0uGCvVaOw7a233jrt/tDQUC1YsEALFiw4ZZvmzZtXmSZ6sj59+mjbtm2nbTN+/HimjQIAAAAAcBEoLS2V2+1WYmKiwsPDa/Rct9ut0tJShYaGErbhggoLC5PdbtcPP/wgh8NxwV6HKgYAAAAAALWCsAwXu4oaNQzjwr3GBTsyAAAAAADwiRKnSws+3atdB/N83ZUaKSx1qsUjy9TikWUqLHX6ujvAOSFsAwAAAAAgwPx93fea88lu3fjX9b7uClDnELYBAAAAABBgvv4p19ddCBgWi0Xvv//+adscOXJEsbGxOnDggFf6dL769OmjiRMnmo9btGihefPmmY/P5pwvBiefR+/evfWvf/3Ldx0qR9gGAAAAAECAcbov3P2oAsnhw4d17733qlmzZgoJCVF8fLxSU1P1xRdfmG2ysrI0cODA0x7nySef1ODBg80VLg8cOCCLxaLY2Fjl5+d7tO3SpYsef/zx2j6V87J582bdfffdXnmtkwOy2jRt2jQ98sgjcrvdF+T4Z4uwDQAAAACAAOMibDsrw4YN07Zt2/T666/ru+++04cffqg+ffroyJEjZpv4+HiFhISc8hiFhYV69dVXNWbMmCr78vPz9Ze//OWC9L02NW7cuMaryJ7sQq7uebYGDhyo/Px8LV++3Kf9IGwDAAAAACDAuC/gSotnwzAMFZY6T/v1y4ni8q8SHS0o1S8nSnTkRIl5jCMnSiq1+fXrTMc921Umc3NztX79ev35z3/W9ddfr+bNm6tnz56aOnWqfvvb35rtzjSl8uOPP1ZISIh69+5dZd+ECRP03HPP6dChQ6d8fklJiR566CFdcsklqlevnnr16qW1a9eese9//OMfFRcXp9DQUHXs2FEfffSRpLIprcOHD9cll1yi8PBwJSUl6Z///Odpj3fyNFLp1xF9YWFhatWqld59911zX8XIvbffflvXXXedQkND9eabb57xtUeNGqV169Zp/vz5slgsslgs5tTbHTt2aODAgYqIiFBcXJxuv/12/fLLL+ZzCwoKdMcddygiIkJNmjTRs88+W+U8bDabbrzxRr311lunPd8LLcinrw4AAAAAAGqdr0e2FTlc6jDjk/M6xjXPrD2n5+2alarw4DPHHREREYqIiND777+v3r17n3b02umsX79e3bt3r3bf8OHDlZaWplmzZun555+vts348eO1a9cuvfXWW0pISNB7772nAQMGaPv27WrTpk2V9m632xzB9cYbb+jSSy/Vrl27ZLPZJEnFxcXq3r27pkyZosjISC1btky33367Lr30UvXs2fOsz2v69OmaPXu25s+fr//7v//Tbbfdpu3bt6t9+/Zmm0ceeUTPPvusunbtqtDQ0DO+9vz58/Xdd9+pY8eOmjVrlqSyUXW5ubm64YYbdNddd2nu3LkqKirSlClT9D//8z9as2aNJGny5Mlat26dPvjgA8XGxurRRx/VV199pS5dunj0u2fPnpo9e/ZZn+eFQNgGAAAAAECA8XXY5g+CgoK0ePFijR07VgsXLlS3bt103XXX6bbbblOnTp3O+jg//PCDEhISqt1nsVg0e/Zs3XTTTXrggQd06aWXeuzPzMzUokWLlJmZaR7joYce0ooVK7Ro0SI99dRTVY65atUqbdq0Sd98840uu+wySVKrVq3M/Zdccokeeugh8/GECRP0ySefaOnSpTUK22655RbdddddkqQnnnhCaWlp+tvf/qYXXnjBbDNx4kQNHTrU43mne+2oqCgFBwcrPDxc8fHxZrvnn39eXbt29Tjf1157TYmJifruu++UkJCgV199VW+88Yb69u0rSXr99dfVtGnTKv1OSEjQjz/+KLfbLavVNxM6CdsAAAAAAAgwvs7awuw27ZqVeto2haVOSZLbbehEfr4i6tdXidNtjmhb/3AfhQXbqjzvTKPWwuxVn3Mqw4YN06BBg7R+/Xp9+eWXWr58uZ555hm98sorGjVq1Fkdo6ioSKGhoafcn5qaqquvvlrTp0/XkiVLPPZt375dLpfLDM0qlJSUqGHDhtUeLyMjQ02bNq3ynAoul0tPPfWUli5dqp9//lmlpaUqKSmp8T3ZkpOTqzzOyMjw2NajR49aee3//ve/+vTTTxUREVFl3759+1RUVKTS0lL16tXL3B4TE6O2bdtWaR8WFia3262SkhKFhYWd6TQvCMI2AAAAAAACjK9HtlksljOGYhX73W63gt0liowIUbHz11UkG0aEnNV00PMVGhqqfv36qV+/fpo+fbruuusuPfbYY2cdtjVq1EjHjh07bZvZs2crOTlZkydP9th+4sQJ2Ww2bd261ZwGWqG64EnSGQOkOXPmaP78+Zo3b56SkpJUr149TZw4UaWlpWdxNjVTr169WnntEydO6KabbtKf//znKvuaNGmivXv3nnWfjh49qnr16vksaJNYIAEAAAAAgIDj6wUS/FmHDh1UUFBw1u27du2qXbt2nbZNz549NXToUD3yyCNVnutyuXTo0CG1bt3a46vyNMvKOnXqpJ9++knfffddtfu/+OILDR48WH/4wx/UuXNntWrV6pRtT+fLL7+s8rjy/drO9bWDg4Plcrk8tnXr1k07d+5UixYtqrwP9erV06WXXiq73a6NGzeazzl27Fi157Vjxw517dq1pqdbqwjbAAAAAAAIML4e2eYPjhw5ohtuuEFvvPGGvv76a+3fv1/vvPOOnnnmGQ0ePPisj5OamqqdO3eecXTbk08+qTVr1mj37t3mtssuu0wjRozQHXfcoX//+9/av3+/Nm3apKefflrLli2r9jjXXXedrr32Wg0bNkxpaWnav3+/li9frhUrVkiS2rRpo7S0NG3YsEHffPON/vjHPyonJ+esz6fCO++8o9dee03fffedHnvsMW3atEnjx48/7XPO5rVbtGihjRs36sCBA/rll1/kdrs1btw4HT16VMOHD9fmzZu1b98+ffLJJxo9erRcLpciIiI0ZswYTZ48WWvWrNGOHTs0atSoau/Jtn79evXv37/G51ubCNsAAAAAAAgwhG1nFhERoV69emnu3Lm69tpr1bFjR02fPl1jx4495cqh1UlKSlK3bt20dOnS07a77LLLdOedd6q4uNhj+6JFi3THHXfowQcfVNu2bTVkyBBt3rxZzZo1O+Wx/vWvf+mKK67Q8OHD1aFDBz388MPmaLFp06apW7duSk1NVZ8+fRQfH68hQ4ac9flUmDlzpt566y116tRJ//jHP/TPf/5THTp0OO1zzua1H3roIdlsNnXo0EGNGzc2F4f44osv5HK51L9/fyUlJWnixImKjo42A7U5c+bommuu0U033aSUlBRdffXVVVaB/fnnn7VhwwaNHj26xudbmyyGUXfHlubl5SkqKkrHjx9XZGSkr7tz3hwOhz7++GPdeOONstvtvu4O6gjqDr5A3cHbqDn4AnUHX6DuAke/59Zpz6ETkqQDswdd8NcrLi7W/v371bJly9MuFlAdt9utvLw8RUZGqtjpVocZn0iSds1K9co922rDsmXLNHnyZO3YscNnK2BCmjJlio4dO6aXXnrplG0qarVp06Zas2aNx/WutnIi/6haAAAAAABw1lx+Oq4mPDjIK+FgbRs0aJD27Nmjn3/+WYmJib7uTp0VGxurSZMm+bobhG0AAAAAAAQaN9NIvW7ixIm+7kKd9+CDD/q6C5K4ZxsAAAAAAAHHX0e2AYGAsA0AAAAAgADjdvu6B0DdRdgGAAAAAECA8dVqpHV4DUb4iYoatVgsF+w1CNsAAAAAAAgw3p5GWrGaY2FhoVdfF6ipihoNCrpwyxiwQAIAAAAAAAHG2wsk2Gw2RUdH69ChQ5Kk8PDwsx455Ha7VVpaquLiYlmtjAnChWEYhgoLC3Xo0CFFR0fLZrNdsNcibAMAAAAAIMA4fTCNND4+XpLMwO1sGYahoqIihYWFXdCpfYAkRUdHKz4+Xk6n84K9BmEbAAAAAAABxtsj26Sye2A1adJEsbGxcjgcZ/08h8Ohzz77TNdee605HRW4EOx2+wUd0VaBsA0AAAAAgADj7Xu2VWaz2WoUaNhsNjmdToWGhhK2ISAwGRoAAAAAgADjZlVQwGcI2wAAAAAACDBut697ANRdhG0AAAAAAAQYJ2kb4DOEbQAAAAAABBgfrI8AoBxhGwAAAAAAAFBLCNsAAAAAAACAWkLYBgAAAAAAANQSwjYAAAAAAACglhC2AQAAAAAQwAyD1RIAbyJsAwAAAAAggJwcrpG1Ad5F2AYAAAAAQABxuT3TNTdpG+BVhG0AAAAAAAQQh+vksM1HHQHqKMI2AAAAAAACiMPt9njMyDbAuwjbAAAAAAAIIM4qI9sI2wBvImwDAAAAACCAOF0nj2zzUUeAOoqwDQAAAACAAOJggQTApwjbAAAAAAAIIA6n58g2w32KhgAuiPMK22bPni2LxaKJEyea24qLizVu3Dg1bNhQERERGjZsmHJycjyel5mZqUGDBik8PFyxsbGaPHmynE6nR5u1a9eqW7duCgkJUevWrbV48eIqr79gwQK1aNFCoaGh6tWrlzZt2nQ+pwMAAAAAgN9zskAC4FPnHLZt3rxZf//739WpUyeP7Q888ID+85//6J133tG6det08OBBDR061Nzvcrk0aNAglZaWasOGDXr99de1ePFizZgxw2yzf/9+DRo0SNdff70yMjI0ceJE3XXXXfrkk0/MNm+//bYmTZqkxx57TF999ZU6d+6s1NRUHTp06FxPCQAAAAAAv+dggQTAp84pbDtx4oRGjBihl19+WQ0aNDC3Hz9+XK+++qqee+453XDDDerevbsWLVqkDRs26Msvv5QkrVy5Urt27dIbb7yhLl26aODAgXriiSe0YMEClZaWSpIWLlyoli1b6tlnn1X79u01fvx4/e53v9PcuXPN13ruuec0duxYjR49Wh06dNDChQsVHh6u11577XzeDwAAAAAA/FrV1Uh91BGgjgo6lyeNGzdOgwYNUkpKiv73f//X3L5161Y5HA6lpKSY29q1a6dmzZopPT1dvXv3Vnp6upKSkhQXF2e2SU1N1b333qudO3eqa9euSk9P9zhGRZuK6aqlpaXaunWrpk6dau63Wq1KSUlRenr6KftdUlKikpIS83FeXp4kyeFwyOFwnMtbcVGpOIdAOBf4D+oOvkDdwduoOfgCdQdfoO4CQ1H5QJYKpQ6HHI6L95bt1B18obq6q60arHHY9tZbb+mrr77S5s2bq+zLzs5WcHCwoqOjPbbHxcUpOzvbbFM5aKvYX7HvdG3y8vJUVFSkY8eOyeVyVdvm22+/PWXfn376ac2cObPK9pUrVyo8PPyUz/M3aWlpvu4C6iDqDr5A3cHbqDn4AnUHX6Du/NvePKnyx/1Vq1YrOsRn3Tlr1B18oXLdFRYW1soxaxS2/fjjj7r//vuVlpam0NDQWumAN02dOlWTJk0yH+fl5SkxMVH9+/dXZGSkD3tWOxwOh9LS0tSvXz/Z7XZfdwd1BHUHX6Du4G3UHHyBuoMvUHeBYcO+I9LOrebjPtdfr4ToMB/26PSoO/hCdXVXMQPyfNUobNu6dasOHTqkbt26mdtcLpc+++wzPf/88/rkk09UWlqq3Nxcj9FtOTk5io+PlyTFx8dXWTW0YrXSym1OXsE0JydHkZGRCgsLk81mk81mq7ZNxTGqExISopCQqnG+3W4PqL/QgXY+8A/UHXyBuoO3UXPwBeoOvkDd+TfD4jll1GoL8oufJ3UHX6hcd7VVfzWatN23b19t375dGRkZ5lePHj00YsQI83u73a7Vq1ebz9m9e7cyMzOVnJwsSUpOTtb27ds9Vg1NS0tTZGSkOnToYLapfIyKNhXHCA4OVvfu3T3auN1urV692mwDAAAAAEBd5DppRQQWIwW8q0Yj2+rXr6+OHTt6bKtXr54aNmxobh8zZowmTZqkmJgYRUZGasKECUpOTlbv3r0lSf3791eHDh10++2365lnnlF2dramTZumcePGmaPO7rnnHj3//PN6+OGHdeedd2rNmjVaunSpli1bZr7upEmTNHLkSPXo0UM9e/bUvHnzVFBQoNGjR5/XGwIAAAAAgD87OWxzk7YBXnVOq5Gezty5c2W1WjVs2DCVlJQoNTVVL7zwgrnfZrPpo48+0r333qvk5GTVq1dPI0eO1KxZs8w2LVu21LJly/TAAw9o/vz5atq0qV555RWlpqaabW699VYdPnxYM2bMUHZ2trp06aIVK1ZUWTQBAAAAAIC65KSsjbAN8LLzDtvWrl3r8Tg0NFQLFizQggULTvmc5s2b6+OPPz7tcfv06aNt27adts348eM1fvz4s+4rAAAAAACB7uRw7eTwDcCFVaN7tgEAAAAAgItb1bCNtA3wJsI2AAAAAAACCPdsA3yLsA0AAAAAgABycrbmdvumH0BdRdgGAAAAAEAAYWQb4FuEbQAAAAAABBDXSeEaWRvgXYRtAAAAAAAEEIMFEgCfImwDAAAAACCAuE66RxthG+BdhG0AAAAAAASQk8M1N1kb4FWEbQAAAAAABJCqYRtpG+BNhG0AAAAAAAQQ98mrkTK0DfAqwjYAAAAAAAKI66RsjawN8C7CNgAAAAAAAsjJI9lOXp0UwIVF2AYAAAAAQABhgQTAtwjbAAAAAAAIIC4WSAB8irANAAAAAIAAcnK2RtgGeBdhGwAAAAAAAcR18mqkhG2AVxG2AQAAAAAQQKrcs83to44AdRRhGwAAAAAAAeTk1UgZ2QZ4F2EbAAAAAAABpOoCCT7qCFBHEbYBAAAAABBATg7XDEa2AV5F2AYAAAAAQACpOo3URx0B6ijCNgAAAAAAAkiVBRIY2QZ4FWEbAAAAAAABxHXS6qOEbYB3EbYBAAAAABBAGNkG+BZhGwAAAAAAAaRK2OY+RUMAFwRhGwAAAAAAAcRVZYEERrYB3kTYBgAAAABAADl59VGyNsC7CNsAAAAAAAggbka2AT5F2AYAAAAAQACpukCCjzoC1FGEbQAAAAAABBAXq5ECPkXYBgAAAABAAGEaKeBbhG0AAAAAAASQk6eNnhy+AbiwCNsAAAAAAAggVaeR+qgjQB1F2AYAAAAAQAAxuGcb4FOEbQAAAAAABBDXSUPZyNoA7yJsAwAAAAAggFS5ZxtpG+BVhG0AAAAAAASQqquR+qgjQB1F2AYAAAAAQACpWCDBZrVIYmQb4G2EbQAAAAAABJCKkWxm2MbQNsCrCNsAAAAAAAggFeGa3RzZ5sveAHUPYRsAAAAAAAGkYtpokM3q8RiAd9QobHvxxRfVqVMnRUZGKjIyUsnJyVq+fLm5v7i4WOPGjVPDhg0VERGhYcOGKScnx+MYmZmZGjRokMLDwxUbG6vJkyfL6XR6tFm7dq26deumkJAQtW7dWosXL67SlwULFqhFixYKDQ1Vr169tGnTppqcCgAAAAAAAclVPpQtqHxkm0HYBnhVjcK2pk2bavbs2dq6dau2bNmiG264QYMHD9bOnTslSQ888ID+85//6J133tG6det08OBBDR061Hy+y+XSoEGDVFpaqg0bNuj111/X4sWLNWPGDLPN/v37NWjQIF1//fXKyMjQxIkTddddd+mTTz4x27z99tuaNGmSHnvsMX311Vfq3LmzUlNTdejQofN9PwAAAAAA8GsV2VqQjWmkgC/UKGy76aabdOONN6pNmza67LLL9OSTTyoiIkJffvmljh8/rldffVXPPfecbrjhBnXv3l2LFi3Shg0b9OWXX0qSVq5cqV27dumNN95Qly5dNHDgQD3xxBNasGCBSktLJUkLFy5Uy5Yt9eyzz6p9+/YaP368fve732nu3LlmP5577jmNHTtWo0ePVocOHbRw4UKFh4frtddeq8W3BgAAAAAA/1OxGmmQlWmkgC+c8z3bXC6X3nrrLRUUFCg5OVlbt26Vw+FQSkqK2aZdu3Zq1qyZ0tPTJUnp6elKSkpSXFyc2SY1NVV5eXnm6Lj09HSPY1S0qThGaWmptm7d6tHGarUqJSXFbAMAAAAAQF1lTiNlZBvgE0E1fcL27duVnJys4uJiRURE6L333lOHDh2UkZGh4OBgRUdHe7SPi4tTdna2JCk7O9sjaKvYX7HvdG3y8vJUVFSkY8eOyeVyVdvm22+/PW3fS0pKVFJSYj7Oy8uTJDkcDjkcjrN8By5eFecQCOcC/0HdwReoO3gbNQdfoO7gC9RdYHC73ZIkm6UsbHM4nRf1z5S6gy9UV3e1VYM1Dtvatm2rjIwMHT9+XO+++65GjhypdevW1UpnLrSnn35aM2fOrLJ95cqVCg8P90GPLoy0tDRfdwF1EHUHX6Du4G3UHHyBuoMvUHf+7WiuTZJFRYUnJFm07/v9+vjjfb7u1hlRd/CFynVXWFhYK8escdgWHBys1q1bS5K6d++uzZs3a/78+br11ltVWlqq3Nxcj9FtOTk5io+PlyTFx8dXWTW0YrXSym1OXsE0JydHkZGRCgsLk81mk81mq7ZNxTFOZerUqZo0aZL5OC8vT4mJierfv78iIyNr8C5cnBwOh9LS0tSvXz/Z7XZfdwd1BHUHX6Du4G3UHHyBuoMvUHeBYeH+dKkgXzHRkcoqzFeLFi10443tfN2tU6Lu4AvV1V3FDMjzVeOw7WRut1slJSXq3r277Ha7Vq9erWHDhkmSdu/erczMTCUnJ0uSkpOT9eSTT+rQoUOKjY2VVJYgRkZGqkOHDmabjz/+2OM10tLSzGMEBwere/fuWr16tYYMGWL2YfXq1Ro/fvxp+xoSEqKQkJAq2+12e0D9hQ6084F/oO7gC9QdvI2agy9Qd/AF6s6/VdyiLchmK/vGYvWLnyd1B1+oXHe1VX81CtumTp2qgQMHqlmzZsrPz9eSJUu0du1affLJJ4qKitKYMWM0adIkxcTEKDIyUhMmTFBycrJ69+4tSerfv786dOig22+/Xc8884yys7M1bdo0jRs3zgzB7rnnHj3//PN6+OGHdeedd2rNmjVaunSpli1bZvZj0qRJGjlypHr06KGePXtq3rx5Kigo0OjRo2vlTQEAAAAAwF9VrD5qt5bds81gNVLAq2oUth06dEh33HGHsrKyFBUVpU6dOumTTz5Rv379JElz586V1WrVsGHDVFJSotTUVL3wwgvm8202mz766CPde++9Sk5OVr169TRy5EjNmjXLbNOyZUstW7ZMDzzwgObPn6+mTZvqlVdeUWpqqtnm1ltv1eHDhzVjxgxlZ2erS5cuWrFiRZVFEwAAAAAAqGsqViO1WVmNFPCFGoVtr7766mn3h4aGasGCBVqwYMEp2zRv3rzKNNGT9enTR9u2bTttm/Hjx59x2igAAAAAAHVNxWqkdpu17DEj2wCvsvq6AwAAAAAAoPa48w9JkoKcBWWPCdsAryJsAwAAAAAggLhcLklSkKtQklQ+0A2AlxC2AQAAAAAQQIzy9UjtKgvdGNkGeBdhGwAAAAAAAcRllC2MYJNTEgskAN5G2AYAAAAAQACpCNfsRtnINoORbYBXEbYBAAAAABBA3FVGthG2Ad5E2AYAAAAAQKBwu+Qq/6hvNxxlm8jaAK8ibAMAAAAAIFA4iuRW2ci2IFWEbaRtgDcRtgEAAAAAECicxXKXf9QPMgjbAF8gbAMAAAAAIFBUGtlmTiN1+7JDQN1D2AYAAAAAQKBwFJn3bLMZpZIY2QZ4G2EbAAAAAACBwllpZJubsA3wBcI2AAAAAAAChaPo13u2uUsksRop4G2EbQAAAAAABIpK00jt5dNIXaRtgFcRtgEAAAAAECAMR5GMirDNXSyJaaSAtxG2AQAAAAAQINylReb3QS7CNsAXCNsAAAAAAAgQbkex+X3FPduYRgp4F2EbAAAAAAABwlVaaH4f7C4b5eZ2+6o3QN1E2AYAAAAAQIAwHCXm90Gu8rCNaaSAVxG2AQAAAAAQIFwe00jLvncRtgFeRdgGAAAAAECAcJX+GrYFyylJcnPPNsCrCNsAAAAAAAgQhrPSNFK5JDGyDfA2wjYAAAAAAAKEy1Fkfh9kjmzzVW+AuomwDQAAAACAAOF2lEqSLHLLprKUjQUSAO8ibAMAAAAAIEC4y0e2WWWYYZuLe7YBXkXYBgAAAABAgHA7y0a22eSW1VIetjGyDfAqwjYAAAAAAAKEy1G2QIJFhmwqC9nI2gDvImwDAAAAACBAVNyzzSa3rEwjBXyCsA0AAAAAgADhMY2UsA3wCcI2AAAAAAAChMtZPo3UInOBBIN5pIBXEbYBAAAAABAgDHMaqfHryDbCNsCrCNsAAAAAAAgQLldZ2Ga1WGQtXyDB5fZlj4C6h7ANAAAAAIAAUbFAgtX66zRSNyPbAK8ibAMAAAAAIBC43XK5HJLKRrYRtgG+QdgGAAAAAEAgcBbLXf4x32a1sBop4COEbQAAAAAABIJKYZvVajXv2eYmbAO8irANAAAAAIBA4CiUqyJsqzSNlNVIAe8ibAMAAAAAIBA4imXIIql8Gqml4p5tvuwUUPcQtgEAAAAAEAicRebINovF+usCCaRtgFcRtgEAAAAAEAgcRXIZZR/z7TaLec82ppEC3kXYBgAAAABAIHAUySmbJMlmtZqrkRqGZBC4AV5D2AYAAAAAQCBwFMlVHrYF2X6dRipx3zbAm2oUtj399NO64oorVL9+fcXGxmrIkCHavXu3R5vi4mKNGzdODRs2VEREhIYNG6acnByPNpmZmRo0aJDCw8MVGxuryZMny+l0erRZu3atunXrppCQELVu3VqLFy+u0p8FCxaoRYsWCg0NVa9evbRp06aanA4AAAAAAIHDWSRn+cd8m+3XkW2S5CJtA7ymRmHbunXrNG7cOH355ZdKS0uTw+FQ//79VVBQYLZ54IEH9J///EfvvPOO1q1bp4MHD2ro0KHmfpfLpUGDBqm0tFQbNmzQ66+/rsWLF2vGjBlmm/3792vQoEG6/vrrlZGRoYkTJ+quu+7SJ598YrZ5++23NWnSJD322GP66quv1LlzZ6WmpurQoUPn834AAAAAAOCfHMWVRrbZzHu2SZKbaaSA1wTVpPGKFSs8Hi9evFixsbHaunWrrr32Wh0/flyvvvqqlixZohtuuEGStGjRIrVv315ffvmlevfurZUrV2rXrl1atWqV4uLi1KVLFz3xxBOaMmWKHn/8cQUHB2vhwoVq2bKlnn32WUlS+/bt9fnnn2vu3LlKTU2VJD333HMaO3asRo8eLUlauHChli1bptdee02PPPLIeb8xAAAAAAD4FUehx8g2GyPbAJ84r3u2HT9+XJIUExMjSdq6dascDodSUlLMNu3atVOzZs2Unp4uSUpPT1dSUpLi4uLMNqmpqcrLy9POnTvNNpWPUdGm4hilpaXaunWrRxur1aqUlBSzDQAAAAAAdYqz8si2II9ppIxsA7ynRiPbKnO73Zo4caKuuuoqdezYUZKUnZ2t4OBgRUdHe7SNi4tTdna22aZy0Faxv2Lf6drk5eWpqKhIx44dk8vlqrbNt99+e8o+l5SUqKSkxHycl5cnSXI4HHI4HGd76hetinMIhHOB/6Du4AvUHbyNmoMvUHfwBerOv1mLT5irkVqtniPbSkodCrX5qmenR93BF6qru9qqwXMO28aNG6cdO3bo888/r5WOeMPTTz+tmTNnVtm+cuVKhYeH+6BHF0ZaWpqvu4A6iLqDL1B38DZqDr5A3cEXqDv/1O7gDjmNskTtyJEjHiPbPlmZpgi7r3p2dqg7+ELluissLKyVY55T2DZ+/Hh99NFH+uyzz9S0aVNze3x8vEpLS5Wbm+sxui0nJ0fx8fFmm5NXDa1YrbRym5NXMM3JyVFkZKTCwsJks9lks9mqbVNxjOpMnTpVkyZNMh/n5eUpMTFR/fv3V2RkZA3egYuTw+FQWlqa+vXrJ7v9Ir+KImBQd/AF6g7eRs3BF6g7+AJ159+sq9K15ecTkqSEJk1kOfDrR/4b+vZVo4gQX3XttKg7+EJ1dVcxA/J81ShsMwxDEyZM0Hvvvae1a9eqZcuWHvu7d+8uu92u1atXa9iwYZKk3bt3KzMzU8nJyZKk5ORkPfnkkzp06JBiY2MllaWIkZGR6tChg9nm448/9jh2WlqaeYzg4GB1795dq1ev1pAhQySVTWtdvXq1xo8ff8r+h4SEKCSk6sXFbrcH1F/oQDsf+AfqDr5A3cHbqDn4AnUHX6Du/JSrxLxnmz3IKmtwuKxFbrlllc0WdNH/TKk7+ELluqut+qtR2DZu3DgtWbJEH3zwgerXr2/eYy0qKkphYWGKiorSmDFjNGnSJMXExCgyMlITJkxQcnKyevfuLUnq37+/OnTooNtvv13PPPOMsrOzNW3aNI0bN84Mwu655x49//zzevjhh3XnnXdqzZo1Wrp0qZYtW2b2ZdKkSRo5cqR69Oihnj17at68eSooKDBXJwUAAAAAoE5xFJv3bLNZrZI9TDaVhW0uFkgAvKZGYduLL74oSerTp4/H9kWLFmnUqFGSpLlz58pqtWrYsGEqKSlRamqqXnjhBbOtzWbTRx99pHvvvVfJycmqV6+eRo4cqVmzZpltWrZsqWXLlumBBx7Q/Pnz1bRpU73yyitKTU0129x66606fPiwZsyYoezsbHXp0kUrVqyosmgCAAAAAAB1gqNQLlklSUFWi2QPlaX8vm0uN2Eb4C01nkZ6JqGhoVqwYIEWLFhwyjbNmzevMk30ZH369NG2bdtO22b8+PGnnTYKAAAAAECd4SyWU2XT4MrCtnBzRVIGtgHeY/V1BwAAAAAAQC2oPLLNZjGnkUqMbAO8ibANAAAAAIBA4HHPtrKRbVaVhWzcsw3wHsI2AAAAAAACgbNILqMsbAuyWqWgUFnLR7a5GdkGeA1hGwAAAAAAgcBRJGf5x/yykW2/TiMlawO8h7ANAAAAAIBA4CiWSxUj2yqmkXLPNsDbCNsAAAAAAAgEjkI5PO7ZVnlkG2Eb4C2EbQAAAAAABALnySPbwn5dIIGRbYDXBPm6AwAAAAAA4DwZxkn3bLNKtjBZLW7JYGQb4E2EbQAAAAAA+DtniSTj15FtNotkYxop4AtMIwUAAAAAwN85i8r+MCqvRhpuhm0ut896BtQ5hG0AAAAAAPg7R1nY5rKUTWCruGebhXu2AV5H2AYAAAAAgL8rD9uclmBJ5SPbgn6dRmowjRTwGsI2AAAAAAD8XcXINqtdUuXVSMunkRK2AV5D2AYAAAAAgL9zFpf9YSkP22zWk+7ZRtgGeAthGwAAAAAA/s68Z1tZ2GYzR7aVhWysRgp4D2EbAAAAAAD+zrxnm+cCCRXTSN2sRgp4DWEbAAAAAAD+zln9yDYb92wDvI6wDQAAAAAAf1c+ss2hipFtVo+wzc092wCvIWwDAAAAAMDfVdyzrTxsKxvZFi4L92wDvI6wDQAAAAAAf2euRmqT9Os922yW8mmkTofPugbUNYRtAAAAAAD4O0ehJMmlsrDNZrNIQZWmkTpKfNY1oK4hbAMAAAAAwN85yke2qdLINptd1vJppC5nqc+6BtQ1hG0AAAAAAPg7c2Rb2cd8m9UiWSyyWi2SJLeTkW2AtxC2AQAAAADg78rv2eYyyj7mB1nLQzdLedjmYGQb4C2EbQAAAAAA+DtzGmmlkW2SObKNBRIA7yFsAwAAAADA31VMIzVHtpWFbLbyEW7csw3wHsI2AAAAAAD8Xfk0UqdREbJVjGwr+9hvMLIN8BrCNgAAAAAA/N1JCyQE2TzDNka2Ad5D2AYAAAAAgL8rv2ebw1320FwgoeKebS5GtgHeQtgGAAAAAIC/M+/ZVhau/XrPNpskyc00UsBrCNsAAAAAAPB35j3byh5WjGizmGGb0yfdAuoiwjYAAAAAAPxd+TRSV8U00vJ7ttls5fdsYxop4DWEbQAAAAAA+LvyaaTO8rCtYmSbzcbINsDbCNsAAAAAAPB3zmK5DYvKZ5GaCyRYy6eRulyEbYC3ELYBAAAAAODPDENyFMpZ6SN+xcg2qy1IkuR2E7YB3kLYBgAAAACAP3M5JMMtl2zmpqCTp5Eysg3wGsI2AAAAAAD8mbOo7I9KYduvI9sqppG6vN8voI4ibAMAAAAAwJ85ysI2lyXI3PTryLbyaaSMbAO8hrANAAAAAAB/Vh62OW31zE1V7tnmcnu/X0AdRdgGAAAAAIA/qxjZZg+XVBa0WSwVYZu9bB8j2wCvIWwDAAAAAMCfld+zzRFUNrKtYlSbJNmCKlYjZWQb4C2EbQAAAAAA+DNHsSTJZQuT9Ov92qRfR7a53SyQAHhLjcO2zz77TDfddJMSEhJksVj0/vvve+w3DEMzZsxQkyZNFBYWppSUFO3Zs8ejzdGjRzVixAhFRkYqOjpaY8aM0YkTJzzafP3117rmmmsUGhqqxMREPfPMM1X68s4776hdu3YKDQ1VUlKSPv7445qeDgAAAAAA/q3inm1BZdNIPcK2oIpppIxsA7ylxmFbQUGBOnfurAULFlS7/5lnntFf//pXLVy4UBs3blS9evWUmpqq4uJis82IESO0c+dOpaWl6aOPPtJnn32mu+++29yfl5en/v37q3nz5tq6davmzJmjxx9/XC+99JLZZsOGDRo+fLjGjBmjbdu2aciQIRoyZIh27NhR01MCAAAAAMB/lU8jNUe22X79qG8LqhjZRtgGeEvQmZt4GjhwoAYOHFjtPsMwNG/ePE2bNk2DBw+WJP3jH/9QXFyc3n//fd1222365ptvtGLFCm3evFk9evSQJP3tb3/TjTfeqL/85S9KSEjQm2++qdLSUr322msKDg7W5ZdfroyMDD333HNmKDd//nwNGDBAkydPliQ98cQTSktL0/PPP6+FCxee05sBAAAAAIDfMUe2lYVtVks1I9sI2wCvqXHYdjr79+9Xdna2UlJSzG1RUVHq1auX0tPTddtttyk9PV3R0dFm0CZJKSkpslqt2rhxo26++Walp6fr2muvVXBwsNkmNTVVf/7zn3Xs2DE1aNBA6enpmjRpksfrp6amVpnWWllJSYlKSkrMx3l5eZIkh8Mhh8NxvqfvcxXnEAjnAv9B3cEXqDt4GzUHX6Du4AvUnX+yFJ9QkKQSS1nYFmyz/PoztJQvkCDJUVwold/D7WJC3cEXqqu72qrBWg3bsrOzJUlxcXEe2+Pi4sx92dnZio2N9exEUJBiYmI82rRs2bLKMSr2NWjQQNnZ2ad9neo8/fTTmjlzZpXtK1euVHh4+Nmcol9IS0vzdRdQB1F38AXqDt5GzcEXqDv4AnXnX1od2qokST8fK5QkOUuKzHua7/nZLSlYbsOqlR9/IKft4v3sS93BFyrXXWFhYa0cs1bDtovd1KlTPUbD5eXlKTExUf3791dkZKQPe1Y7HA6H0tLS1K9fP9ntF9//ViAwUXfwBeoO3kbNwReoO/gCdeefrBv2Sj9LEY0SpaNSTHSkbrwxWZKU88UBvZ/5nZyyqv/110gRcWc4mvdRd/CF6uquYgbk+arVsC0+Pl6SlJOToyZNmpjbc3Jy1KVLF7PNoUOHPJ7ndDp19OhR8/nx8fHKycnxaFPx+ExtKvZXJyQkRCEhIVW22+32gPoLHWjnA/9A3cEXqDt4GzUHX6Du4AvUnZ9xl0qSSssXSAi128yfX3ho2e2ZSmSX3XBIF/HPlbqDL1Suu9qqvxqvRno6LVu2VHx8vFavXm1uy8vL08aNG5WcXJaqJycnKzc3V1u3bjXbrFmzRm63W7169TLbfPbZZx5zZdPS0tS2bVs1aNDAbFP5dSraVLwOAAAAAAB1gqNs6luxJVSSFGr/9aN+SFDZ9yUKNhdSAHBh1ThsO3HihDIyMpSRkSGpbFGEjIwMZWZmymKxaOLEifrf//1fffjhh9q+fbvuuOMOJSQkaMiQIZKk9u3ba8CAARo7dqw2bdqkL774QuPHj9dtt92mhIQESdLvf/97BQcHa8yYMdq5c6fefvttzZ8/32MK6P33368VK1bo2Wef1bfffqvHH39cW7Zs0fjx48//XQEAAAAAwF84iyVJJeVhW0iQzdwVai/7vlh2wjbAS2o8jXTLli26/vrrzccVAdjIkSO1ePFiPfzwwyooKNDdd9+t3NxcXX311VqxYoVCQ0PN57z55psaP368+vbtK6vVqmHDhumvf/2ruT8qKkorV67UuHHj1L17dzVq1EgzZszQ3Xffbba58sortWTJEk2bNk2PPvqo2rRpo/fff18dO3Y8pzcCAAAAAAC/ZI5sK7ttUuWRbWbYZgRLTsI2wBtqHLb16dNHhmGccr/FYtGsWbM0a9asU7aJiYnRkiVLTvs6nTp10vr160/b5pZbbtEtt9xy+g4DAAAAABDIHOUj21R2f7bKI9sqppEWM40U8JpavWcbAAAAAADwsopppEbZzd2rG9lWKrs5Ag7AhUXYBgAAAACAPysP0aob2VYRvBUbjGwDvIWwDQAAAAAAf1YxjdQou1OU52qkFQskBDOyDfASwjYAAAAAAPxZxQIJ5dNIqxvZViK7GcoBuLAI2wAAAAAA8GfmPdvKQrZqVyNlZBvgNYRtAAAAAAD4s4qRbe6yj/jVrUbqkk2OEu7ZBngDYRsAAAAAAP6s4p5t7lOPbJOk4pJS7/YLqKMI2wAAAAAA8Gfl00iL3RZJ1Y9sk6SS0hLv9guoowjbAAAAAADwZ+XTSEtc5WFbpZFtFotFwVa3JKm41OH9vgF1EGEbAAAAAAD+yuWQ3E5JUrGrbFPlkW2SFFr+sLiUaaSANxC2AQAAAADgrxy/LnpQMbKt8j3bpF/DtpJSp9e6BdRlhG0AAAAAAPir8vu1SRYVO8umi1YZ2RZU9mexg7AN8AbCNgAAAAAA/FXFyLagUJWUh20nj2yrWCShpNTl1a4BdRVhGwAAAAAA/qoibLOHqdhxqpFtZR/9K0a+AbiwCNsAAAAAAPBXzl/DthJn2ci1kJPv2Vb+uMTByDbAGwjbAAAAAADwV47KYVvFNFLPkW0VI92KnYZXuwbUVYRtAAAAAAD4q/KwzW0LU6m5QMJJI9uCy1ZIKHYRtgHeQNgGAAAAAIC/Kl+NtDSonrmpysi28rCthFmkgFcQtgEAAAAA4K/KR7YVB9U3N508si3EHlzWxm2VXE7v9Q2oowjbAAAAAADwV+VhW4m1bGSbzWqR3XbyNFK7JKlYwb8uqADggiFsAwAAAADAX5WHbUXWCElSaFDVj/mhIeUj24xgyVHsvb4BdRRhGwAAAAAA/qp8pNoxS9k00ujw4CpNQsrv4VYiu+Qo9F7fgDqKsA0AAAAAAH9VPrLtmLtsZFtMvaphW3h52FagULM9gAuHsA0AAAAAAH9VHp4dNcru2dagmrAtNjJEkpRjNGBkG+AFhG0AAAAAAPgrZ9k92I66wiVJMeH2Kk3io8IkSTlGDCPbAC8gbAMAAAAAwF+Vj1Q76gqVJMXUC6nSJD6ybF+WEcNqpIAXELYBAAAAAOCvylcXPeYsC9li6lU3sq0sbDuuCBUXEbYBFxphGwAAAAAA/qpiZJujLGSr7p5tkaFBCrM4JEnZecXe6xtQRxG2AQAAAADgryru2eYIkiQ1rCZss1gsamIvC+Wy8kq91zegjiJsAwAAAADAX1VMIy0p+3jfILxq2CZJcSElkqScEy7v9AuowwjbAAAAAADwVxXTSEvLPt7HVDOyTZLiQ8qmkWYVuL3TL6AOI2wDAAAAAMBfOYvlNKw6XjZwrdp7tknSJWFlYdsP+cQAwIXG3zIAAAAAAPyVo1BHFClDktUiRYdVXY1UkjpGlaVxXx8P8WLngLqJsA0AAAAAAH/lKNZud6IkqUWjegqyVf8xv1NM2b3adp8IV7GD+7YBFxJhGwAAAAAA/spZpN1GWdjWLr7+KZs1ubSTGum4XLJq5/c/eat3QJ1E2AYAAAAAgL9yFOnb8pFtbeMiT9nMcll/dQo7LEnatmGlV7oG1FWEbQAAAAAA+CO3S3KVarfRTJLU9jQj22Sx6KrLW0iS3tvrlFF03AsdBOomwjYAAAAAAPyRo0glRpD2GJdIOv00UkkaOqC/guXUTlczZaS96Y0eAnUSYRsAAAAAAP6oJE+furuqRMGKjwxRs5jw0zZvEBGm37QwJEnTNlpVXJDnjV4CdQ5hGwAAAAAA/qbkhPTunfq362pJ0uCul8hqtZzxaVNuTVEDS4F2uhI18Lk1yjxSeKF7CtQ5hG0AAAAAAPiT0gJpya36fH++0tzdJUk3d73krJ4a1yBCL17nUJyOan+BXXf/Y7NyC0uVX+xQ9vHiC9lroM4I8nUHAAAAAADwNsMwZLGceSTYRae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", "text/plain": [ "
" ] @@ -1048,6 +1018,9 @@ "source": [ "# These plots are for illustration , there are easier way to do calibration, see below\n", "fig, axes = plt.subplots(2,1,figsize=(15,8))\n", + "axes[0].axvline(x=520.45, color='red', linestyle=':', linewidth=2, label=\"Reference 520.45 cm-1\") \n", + "axes[1].axvline(x=model_si.model, color='black', linestyle=':', linewidth=2, label=\"Si peak {:.3f} nm\".format(model_si.model))\n", + "\n", "spe_sil_xcstep1_nm = model_neon.process(spe_sil)\n", "spe_sil_xcstep1_cm1 = model_neon.process(spe_sil,convert_back=True)\n", "spe_sil_xcstep2_cm1 = model_si.process(spe_sil_x1_nm)\n", @@ -1060,7 +1033,8 @@ "spe_sil_xcstep1_nm.plot(ax = axes[1],label=\"Si (Ne calibrated)\")\n", "model_si.fit_res.plot(ax = axes[1])\n", "axes[1].set_xlabel(\"wavelength [nm]\")\n", - "plt.grid()" + "axes[0].grid()\n", + "axes[1].grid()" ] }, { @@ -1072,7 +1046,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -1087,6 +1061,18 @@ "# 4.4. Plot and verify results" ] }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "# let's check the Si peak with Gaussian profile\n", + "si_peak = 520.45\n", + "spe_test = spe_sil_calibrated #.trim_axes(method='x-axis',boundaries=(si_peak-50,si_peak+50))\n", + "fitres, cand = find_peaks(spe_test,profile=\"Gaussian\")" + ] + }, { "cell_type": "code", "execution_count": 25, @@ -1096,7 +1082,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "The Si peak of the calibrated spectrum (Gaussian) 520.1362934879866\n" + "The Si peak of the calibrated spectrum (Gaussian) 519.7158284640926\n" ] }, { @@ -1134,88 +1120,28 @@ " \n", " \n", " \n", - " g00_p3\n", - " 144887.189048\n", - " 7893.266528\n", - " 520.136293\n", - " 0.027106\n", - " 2.010464\n", - " 0.044934\n", - " 4.734280\n", - " 0.105812\n", - " 28750.397215\n", - " 1005.485276\n", - " \n", - " \n", - " g00_p4\n", - " 228512.231461\n", - " 7664.872371\n", - " 519.130414\n", - " 0.071234\n", - " 4.444798\n", - " 0.090029\n", - " 10.466700\n", - " 0.212003\n", - " 9440.705473\n", - " 1027.153094\n", - " \n", - " \n", - " g00_p5\n", - " 104797.656962\n", - " 8320.886053\n", - " 553.308094\n", - " 6.420565\n", - " 73.089205\n", - " 7.084509\n", - " 6.636440\n", - " 16.682743\n", - " 572.016324\n", - " 43.969297\n", - " \n", - " \n", " g00_p0\n", - " 19828.887216\n", - " 19556.469822\n", - " 374.677851\n", - " 19.588511\n", - " 17.786348\n", - " 12.458714\n", - " 41.883649\n", - " 29.338029\n", - " 444.755816\n", - " 170.601206\n", - " \n", - " \n", - " g00_p2\n", - " 7076.259898\n", - " 21049.769415\n", - " 407.043643\n", - " 19.294171\n", - " 12.249829\n", - " 20.045866\n", - " 7.223402\n", - " 47.204407\n", - " 230.453778\n", - " 365.257837\n", + " 1.921478\n", + " 0.04328\n", + " 519.715828\n", + " 0.079304\n", + " 3.048832\n", + " 0.079284\n", + " 7.17945\n", + " 0.186699\n", + " 0.251427\n", + " 0.005664\n", " \n", " \n", "\n", "" ], "text/plain": [ - " amplitude amplitude_stderr center center_stderr sigma \\\n", - "g00_p3 144887.189048 7893.266528 520.136293 0.027106 2.010464 \n", - "g00_p4 228512.231461 7664.872371 519.130414 0.071234 4.444798 \n", - "g00_p5 104797.656962 8320.886053 553.308094 6.420565 73.089205 \n", - "g00_p0 19828.887216 19556.469822 374.677851 19.588511 17.786348 \n", - "g00_p2 7076.259898 21049.769415 407.043643 19.294171 12.249829 \n", + " amplitude amplitude_stderr center center_stderr sigma \\\n", + "g00_p0 1.921478 0.04328 519.715828 0.079304 3.048832 \n", "\n", - " sigma_stderr fwhm fwhm_stderr height height_stderr \n", - "g00_p3 0.044934 4.734280 0.105812 28750.397215 1005.485276 \n", - "g00_p4 0.090029 10.466700 0.212003 9440.705473 1027.153094 \n", - "g00_p5 7.084509 6.636440 16.682743 572.016324 43.969297 \n", - "g00_p0 12.458714 41.883649 29.338029 444.755816 170.601206 \n", - "g00_p2 20.045866 7.223402 47.204407 230.453778 365.257837 " + " sigma_stderr fwhm fwhm_stderr height height_stderr \n", + "g00_p0 0.079284 7.17945 0.186699 0.251427 0.005664 " ] }, "execution_count": 25, @@ -1224,7 +1150,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -1240,18 +1166,16 @@ "spe_sil_calibrated.plot(ax=ax,label=\"Si calibrated\")\n", "ax.set_xlabel('Raman shift [cm$^{-1}$]')\n", "# \n", - "ax.set_xlim(520-20,520+20)\n", - "# let's check the Si peak\n", - "si_peak = 520.45\n", - "spe_test = spe_sil_calibrated #.trim_axes(method='x-axis',boundaries=(si_peak-50,si_peak+50))\n", - "\n", - "fitres = find_peaks(spe_test,profile=\"Gaussian\")\n", - " \n", + "ax.set_xlim(520-50,520+50)\n", + "ax.axvline(x=520.45, color='red', linestyle='-', linewidth=2, label=\"Reference 520.45 cm-1\") \n", "fitres.plot(ax=ax,label=\"fit res\")\n", "spe_test.plot(ax=ax,label=\"Si laser zeroed\", fmt=\":\")\n", "df = fitres.to_dataframe_peaks().sort_values(by=\"height\",ascending=False)\n", "print(\"The Si peak of the calibrated spectrum (Gaussian)\", df.iloc[0][\"center\"])\n", - "\n", + "ax.axvline(x=df.iloc[0][\"center\"], color='black', linestyle=':', linewidth=2, label=\"Si peak {:.3f}\".format(df.iloc[0][\"center\"]))\n", + "cand.plot(ax=ax,label=\"candidates\")\n", + "ax.legend()\n", + "ax.grid()\n", "df.head()\n" ] }, @@ -1259,12 +1183,26 @@ "cell_type": "code", "execution_count": 26, "metadata": {}, + "outputs": [], + "source": [ + "# let's check the Si peak with Pearson4 profile\n", + "si_peak = 520.45\n", + "spe_sil_calibrated = calmodel1.apply_calibration_x(spe_sil)\n", + "_w = 50\n", + "spe_test = spe_sil_calibrated.trim_axes(method='x-axis',boundaries=(si_peak-_w,si_peak+_w))\n", + "fitres, cand = find_peaks(spe_test,profile=\"Pearson4\",vary_baseline=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "The Si peak of the calibrated spectrum (Pearson4) 520.4511212851771\n" + "The Si peak of the calibrated spectrum (Pearson4) 520.5462500017477\n" ] }, { @@ -1308,143 +1246,48 @@ " \n", " \n", " \n", - " g00_p3\n", - " 414019.755477\n", - " None\n", - " 520.451121\n", - " None\n", - " 3.966692\n", - " None\n", - " 1.435542\n", - " None\n", - " 0.326552\n", - " None\n", - " 6.601040\n", - " None\n", - " 49696.126969\n", - " None\n", - " 519.999956\n", - " None\n", - " \n", - " \n", " g00_p0\n", - " 333409.660069\n", - " None\n", - " -7877.365560\n", - " None\n", - " 14221.017635\n", - " None\n", - " 962.656215\n", - " None\n", - " -122.251949\n", - " None\n", - " 127.955702\n", - " None\n", - " 409.416069\n", - " None\n", - " -6974.370756\n", - " None\n", - " \n", - " \n", - " g00_p4\n", - " 38846.504866\n", - " None\n", - " 650.172112\n", - " None\n", - " -1262.753306\n", - " None\n", - " 925.501572\n", - " None\n", - " 4.934124\n", - " None\n", - " 10.187254\n", - " None\n", - " 47.203527\n", - " None\n", - " 653.538169\n", - " None\n", - " \n", - " \n", - " g00_p1\n", - " 2584.910942\n", - " None\n", - " 437.513935\n", - " None\n", - " -21.496292\n", - " None\n", - " 142.199390\n", - " None\n", - " 4.645352\n", - " None\n", - " 1.999679\n", - " None\n", - " 28.363363\n", - " None\n", - " 437.865054\n", - " None\n", - " \n", - " \n", - " g00_p5\n", - " 2272.541046\n", - " None\n", - " 681.661877\n", - " None\n", - " -52.025217\n", - " None\n", - " 778.151148\n", - " None\n", - " 17.500046\n", - " None\n", - " 1.327288\n", - " None\n", - " 25.814879\n", - " None\n", - " 682.246881\n", - " None\n", + " 2.119265\n", + " 0.029516\n", + " 520.54625\n", + " 0.10471\n", + " 4.249936\n", + " 0.17343\n", + " 1.645956\n", + " 0.092049\n", + " 0.463057\n", + " 0.069507\n", + " 6.583136\n", + " 0.090918\n", + " 0.267701\n", + " 0.002037\n", + " 519.948433\n", + " 0.029656\n", " \n", " \n", "\n", "" ], "text/plain": [ - " amplitude amplitude_stderr center center_stderr \\\n", - "g00_p3 414019.755477 None 520.451121 None \n", - "g00_p0 333409.660069 None -7877.365560 None \n", - "g00_p4 38846.504866 None 650.172112 None \n", - "g00_p1 2584.910942 None 437.513935 None \n", - "g00_p5 2272.541046 None 681.661877 None \n", + " amplitude amplitude_stderr center center_stderr sigma \\\n", + "g00_p0 2.119265 0.029516 520.54625 0.10471 4.249936 \n", "\n", - " sigma sigma_stderr expon expon_stderr skew \\\n", - "g00_p3 3.966692 None 1.435542 None 0.326552 \n", - "g00_p0 14221.017635 None 962.656215 None -122.251949 \n", - "g00_p4 -1262.753306 None 925.501572 None 4.934124 \n", - "g00_p1 -21.496292 None 142.199390 None 4.645352 \n", - "g00_p5 -52.025217 None 778.151148 None 17.500046 \n", + " sigma_stderr expon expon_stderr skew skew_stderr fwhm \\\n", + "g00_p0 0.17343 1.645956 0.092049 0.463057 0.069507 6.583136 \n", "\n", - " skew_stderr fwhm fwhm_stderr height height_stderr \\\n", - "g00_p3 None 6.601040 None 49696.126969 None \n", - "g00_p0 None 127.955702 None 409.416069 None \n", - "g00_p4 None 10.187254 None 47.203527 None \n", - "g00_p1 None 1.999679 None 28.363363 None \n", - "g00_p5 None 1.327288 None 25.814879 None \n", - "\n", - " position position_stderr \n", - "g00_p3 519.999956 None \n", - "g00_p0 -6974.370756 None \n", - "g00_p4 653.538169 None \n", - "g00_p1 437.865054 None \n", - "g00_p5 682.246881 None " + " fwhm_stderr height height_stderr position position_stderr \n", + "g00_p0 0.090918 0.267701 0.002037 519.948433 0.029656 " ] }, - "execution_count": 26, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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zn39OxxTWeXt74+XlleN7pp2dHXq9noSEBPR6vUXru/u1wixq8pS8u3nzJhkZGXh7e5ut9/b25vTp07nax3vvvUe5cuXMmsx27tyZ5557jsqVK3PhwgU++OADunTpwu7du602fZwyZQqTJk2yWB8WFoaXl1deTkkUctnHnBBCFC5yfQpRgBRo+0lb3HDj5FMnOb/1vEWVKjf+oW7EXvRqRw5XfI2UjRtNZS3T0ki61YkfG1xlxI4asO9NTqyZy2WvtuaHUaCkvYY4Hfzfb/9Sq+STMQi0EAWtOH2GarVafHx8SExMvDvxQrb3nwIXn7sxO/V6PQ4ODqaJF2bNmkWLFi2YN28er776qmkm1OXLl1O2bFmzbe3t7YnPPI6iKKSmppoex8XF0blzZ4ux6MD4f3N8fDzp6enY2dmZtsnLdoqimG2XkZFBWloa8fHxqFQqDAaDWbn5UxNPv379eOONNyzKSpcuneN296pXrx579+61qD969GhT11I3NzdTuZubGzqdjqtXr+LufrfZeGRkJCVLlrR63I0bN3Ljxg38/PzMznXUqFHMmjWLo0ePWo2tdu3apKenc/z4cbOkY5YHPUepqalotVqzllw6nQ61Wm22TXp6Ojqdjvj4eF566SW6dOliKnNxcTGrmzVuW0JCgtlYgeLR6XQ6dDodKSkpbNu2zSJZl33MyKKuQEf0+/zzz1m2bBlbtmwxa5L7wgsvmJbr1q1LvXr1qFq1Klu2bKF9+/YW+xk7diwjRowwPY6IiCAgIID27dtTvnz5x3sSokDo9Xo2bNhAx44dcxyYVAhhG3J9ClHwVJtUaK9oUUooVJ9eneolq5tXuHUR7XfGf8YMHT4mJcbL7BrdXDEQfVwwv9S/yvDdVVFdC6Je9Fpq93nK4lg79SdYcSACnUcVnupS47GfmxBPkuL4GZqamsrVq1dxcXGx2u2ysLKzs0Or1eLmdrcF8ocffsioUaN47bXXaNKkCQ4ODty8edMsMXMvlUqFo6OjaT9BQUGsXLnS1ArMGq1Wi729vdmxH3Y7rVaLnZ0dbm5uNGnShOvXrxMVFWXqEppdo0aNuHDhAoGBgfd9bh7k1KlTlC9f3hSHoigMHTqUdevWsWnTJoukWcuWLbGzs2Pfvn307NkTMM5ee+3aNdq0aWN2Pllef/11unbtarauS5cuvPLKK/Tr18/qNgDnz59HrVZTpUoVq3Ue9Bxl/Q27urqiUqkA4xBfGo3GbH/Z/37c3NyoVKlSjs+Xs7OzaZ85xS0eXmpqKk5OTrRq1criPejeuRZya968eUyfPp2oqCjq16/P3LlzCQoKslr3u+++44cffuD48eOA8TqbPHmyWf1+/fqxZMkSs+1CQ0NZv359rmPKU/LOy8sLjUZj+hUiS3R09APHq5sxYwaff/45GzdupF69evetW6VKFby8vDh//rzV5J2Dg4NZE9isrHbWG5coPuzs7OQ1FaKQkutTiAJkHIIJVX8VdqXvue4MBlg7DNJToEob1I37w99/m67RhFQ945sYxxmO893M9SZelN8TiHpVAOr31aA27+XQqnoZVhyIYOeFW3KNC/GYFKfP0IyMDFQqFWq1uki1KlKpVKa4s/Tu3Zv33nuPr7/+mlGjRjFq1ChGjhwJQIsWLbhz5w47d+7Ezc2Nvn37mrbLfu5DhgxhwYIFvPzyy6ZZYc+fP8+yZctYsGCBqWfZvcd+2O2yn0fbtm1p1aoVvXr1YubMmVSrVo3Tp0+jUqno3LmzaebToUOH8vrrr1OiRAlOnjzJhg0bTGP93Wv27NlUrlyZ2rVrk5qayoIFC9i8eTP//vuvKY633nqLpUuX8scff+Du7m4ao8zd3R0nJyc8PDwYMGAAo0aNwsvLCzc3N9555x1CQkJo1qyZ6Vg1a9ZkypQpPPvss5QuXZrSpUubxWJnZ0fZsmVN3Xt3797N3r17adu2La6uruzevZuRI0fyyiuv5DgE14Oeo+zPa9b5ZSXxcnrecxIVFUVUVBQXL14E4MSJE7i6ulKxYkWLYcTEw1Or1ahUKqvvqw8zA23WJK3z588nODiY2bNnExoaypkzZ0wtdbPLmqS1WbNmODo6MnXqVDp16sSJEyfMGpd17tyZRYsWmR5b69Z9P3l6d7W3t6dRo0aEhYWZ1hkMBsLCwkyDeFozbdo0PvnkE9avX0/jXMwAdO3aNWJjYy2aJwshhBBCPHEuAmszl9+xUv7fd3BlF2SbXTa7yetOEVWiFCq7WBzK/M3wS5mzXhztAhctux01r+aFSgVnohO4EZ+ar6cihBCFmVarZciQIUybNo2kpCQ++eQTxo0bx5QpU6hVqxadO3dm7dq1VK5cOcd9lCtXjp07d5KRkUGnTp2oW7cuw4YNo2TJkvdN9Dzsdvf6/fffadKkCS+++CIBAQGMGTOGjIwMwNjddevWrZw9e5aWLVvSoEEDxo8fT7ly5XLcn06nY+TIkdStW5fWrVtz5MgRNm7caNbI5uuvv+bOnTu0adOGsmXLmm7Lly831Zk1axZPP/00PXv2pFWrVvj4+LBy5UqzY505c8Y0U21uODg4sGzZMlq3bk3t2rX57LPPGD58ON9+++1DP0f5af78+TRo0ICBAwcC0KpVKxo0aMCaNWvy/Vgi/2SfpDUgIID58+fj7OzMwoULrdb/+eefeeuttwgMDKRmzZosWLDAlCfLLmuS1qybh4dHnuJSKVkjP+bS8uXL6du3L9988w1BQUHMnj2bX3/9ldOnT+Pt7U2fPn0oX768acDGqVOnMn78eJYuXUrz5s1N+3FxccHFxYXExEQmTZpEz5498fHx4cKFC4wZM4aEhASOHTuWq2zktWvX8PX15erVq1SoUCFPT4AonPR6PevWreOpp54qNr9KClFcyPUpRAH7CPgM6AT8c0/ZrYvwdXPQJ0PXmdBkgNk1ujs8jj4L9wHgVPEbtCXCiZsQx9Xk/RDjDePWwsddudczc3dwLOIOX/SqT89G8t1KiPxSHD9DU1NTCQ8Pp3LlykWq26wQ1mSNh+fm5lakWpI+ye73HpSVKzp58qRZK7h7e3Nm0el0ODs789tvv9GjRw/T+r59+xIXF8cff/zxwHgSEhIoU6YMK1as4OmnnwaM3WZXr16Nvb19riZptSbPf429e/dmxowZjB8/nsDAQA4fPsz69etNk1hcuXKFyMhIU/2vv/4anU7H//73P7Ms/IwZMwDQaDQcPXqUbt26Ub16dQYMGECjRo3Yvn17npsRCiGEEEIUKxnA4szlAfeUGQzwxxBj4q5yK2jU36w4IVXP+78bW9a9fHYT2hLhAHzy2SfQ7Zqx0irrw5609DdOALbjfPEZ6FkIIYQQT6aAgADc3d1Nt+yzA2d3v0lao6KicnWsnCZp/eGHHwgLC2Pq1Kls3bqVLl265KnF50NNWDFkyBCGDBlitWzLli1mjy9dunTffTk5OfHPP/f+jCyEEEIIIfgXiAA8ge73lP23AC7vBLsS0G0u3NNC4PP1Z7l+J5VKns4MP7qKNd1LAPD8889D9RvwPXAiEC4lg5+z2bYt/Uvzf1susP3cTRRFMY33I4QQQghR1Fhrefc45NckrdZIO1AhhBBCiMIqa3iVV4Ds3zNvhcPGCcbljpPAw89ss1NxKn49YJxhbVrPejhn6Mz327gS+B0GRQMLr1gctmGlkjjZabiZmMbpqIT8OBMhhBBCCJvImuk365ZT8i4/Jmn9999/8zRJa25J8k4IIYQQojCKA/7MXM7eI9ZggDXvGLvL+rWExub9aRNS9Sy7YPyK16+ZH8FVrIynolJBW+Psd6y2tyh20GpoWsU4E972czGPdh5CCCGEEEVAYZ6kVZJ3QgghhBCF0SogDagNZP8Bd//3cGk72Dlb7S47Zf1Z4nQqKpZyYkznGha71ekyW+G94GS8P14Joi2q0cK/NADbz8m4d0IIIYR4MowYMYLvvvuOJUuWcOrUKQYPHkxSUhL9+xt/Se3Tpw9jx4411Z86dSrjxo1j4cKF+Pn5ERUVRVRUFImJiQAkJiYyevRo9uzZw6VLlwgLC6N79+5Uq1aN0NDQXMclyTshhBBCiMJoaeb9S0DWkHO3L8GGzO6yHSZBqcpmm2w5c4MVmd1lpzxbG2d7y+GN69SpY1xoHgTlDhi7zi67Y1GvVeakFfvCb5Gqz/2AykIIIYQQRVVhnaT1oSasEEIIIYQQj1EksClz+cXMe9PssklQqTk0ed1sk/hUPWNXHgOglY+BIL9S9z9GCU8IXgGrGsEvKfCuu1lxtTIueLs5EB2fxn+XbtEysyWeEEIIIURxVhgnaZWWd0IIIYQQhc0KwAA0BbIa1x1YZOwuq3WC7l9ZdJf99K+TRN5JpWIpJ56uaMhx18HBwXcfdMvsQru/NNzT+E6lUpkSdjuk66wQQgghhM1I8k4IIYQQorBZmXn/fOb97cuwYbxxucNEKFXFrPrmMzf4df81VCr4/Nk6OGhy3vWPP/5490Gr+uB5FjI08I9iUbdlZtfZbZK8E0I8gVQqFatXr7Z1GLRp04Zhw4bZOgwhhA1J8k4IIYQQojCJAbZnLj8LKIpxdlldIlRsBkGDzKrfSdEz9ndjd9l+zfxo4ueR+2NVbAo1M2dU+81y3Lvm1YzJu1OR8cQkpOXxRIQQovCKiYlh8ODBVKxYEQcHB3x8fAgNDWXnzp2mOpGRkXTp0sWGUT48lUplcVu2bJmpfOXKlXTs2JHSpUvj5uZGSEiI1a598+bNw8/PD0dHR4KDg9m3b999j7t48WKL4zo6OuZY/80330SlUjF79myLsrVr1xIcHIyTkxMeHh706NHDVHbkyBFefPFFfH19cXJyolatWnz55Zdm22/ZssXq8xAVFZXjOYaEhHDgwAGz8tTUVN5++208PT1xcXGhZ8+eREebz/R05coVunbtirOzM2XKlGH06NGkp6ebyiMjI3nppZeoXr06arXaajK2TZs2VuPt2rVrrp+7nM5ZpVLx33//ATBx4kSr5SVKlLB6nII2dOhQGjVqhIODA4GBgbYOp9CQMe+EEEIIIQqTNRi7zDYA/ID9iyF86327y0bFp+Ln6cyY0JqZG+eS1gFaX4edwAYHyACytdrzcnGgdjk3TlyPZ+f5m/RoUP7Rzk0IIQqJnj17otPpWLJkCVWqVCE6OpqwsDBiY2NNdXx8fGwY4aNbtGgRnTt3Nj0uWbKkaXnbtm107NiRyZMnU7JkSRYtWsQzzzzD3r17adCgAQDLly9nxIgRzJ8/n+DgYGbPnk1oaChnzpyhTJkyOR7Xzc2NM2fOmB6rVCqr9VatWsWePXsoV66cRdnvv//OwIEDmTx5Mu3atSM9PZ3jx4+byg8cOECZMmX46aef8PX1ZdeuXQwaNAiNRmMxVtmZM2dwc3MzPc4e+73nOGvWLHr27Mnp06dNr//w4cNZu3YtK1aswN3dnSFDhvDcc8+ZEr0ZGRl07doVHx8fdu3aRWRkJH369MHOzo7JkycDkJaWRunSpfnoo4+YNWuW1edj5cqVd2eEB2JjY6lfvz69evXK9XPXrFkzs8kUAMaNG0dYWBiNGzcGYNSoUbz55ptmddq3b0+TJk2sxmULr732Gnv37uXo0aO2DqXwUIqBq1evKoBy9epVW4ci8olOp1NWr16t6HQ6W4cihLiHXJ9CPGZdFUVBUZRPFEW5fVlRPiunKBPcFGX3/1lU3XQ6Wqn03l+K3/t/KfvCYxVFsX6NJvmVV+osrqPUWVxHSdIlme9k6zxFcbxtPOZOy3AmrzupVHrvL2XE8sP5dYZCPLGK42doSkqKcvLkSSUlJcXWoeTa7du3FUDZsmXLfesByqpVq3Isb926tfL2228rb7/9tuLm5qZ4enoqH330kWIwGEx1UlNTlZEjRyrlypVTnJ2dlaCgIGXz5s2m8ps3byovvPCCUq5cOcXJyUmpU6eOsnTpUovjvPvuu6bHf/31l+Lm5qb89NNPDx27NQEBAcqkSZNMj4OCgpS3337b9DgjI0MpV66cMmXKlBz3sWjRIsXd3f2Bx7p27ZpSvnx55fjx40qlSpWUWbNmmcr0er1Svnx5ZcGCBXmK/6233lLatm1rerx582YFUG7fvp3jNveeo16vV8qWLatMnjxZURRFiYuLU+zs7JQVK1aY6pw6dUoBlN27dyuKoijr1q1T1Gq1EhUVZarz9ddfK25ubkpaWprFMe99PXMya9YsxdXVVUlMTDRbf7/n7l46nU4pXbq08vHHH+dY5/DhwwqgbNu27b7xHD9+XOnatavi6uqquLi4KC1atFDOnz+vKIqi9O3bV+nevbvy2WefKWXKlFHc3d2VSZMmKXq9Xhk1apTi4eGhlC9fXlm4cOEDzzvLhAkTlPr16z+w3v3eg4pTrki6zQohhBBCFBbxwIbM5WcVWDM0s7tsCAS9YVY1e3fZ/s0q0+RBs8tmGjp0qPmKGq2h2kbj8p/pFvVbZU5asf1cDIpiOS6eEEIUNS4uLri4uLB69WrS0h5tSIAlS5ag1WrZt28fX375JTNnzmTBggWm8iFDhrB7926WLVvG0aNH6dWrF507d+bcuXOAsUtmo0aNWLt2LcePH2fQoEG8+uqrOXZPXbp0KS+++CI///wzL7/88n1je/vtt/Hy8iIoKIiFCxfe9z3cYDCQkJBAqVLGzxKdTseBAwfo0KGDqY5araZDhw7s3r37vsdNTEykUqVK+Pr60r17d06cOGFxrFdffZXRo0dTu3Zti+0PHjxIREQEarWaBg0aULZsWbp06WLW8s6aO3fumOLPLjAwkLJly9KxY0ezbtE5nWPr1q1N53jgwAH0er1ZnZo1a1KxYkVTnd27d1O3bl28vb1NdUJDQ4mPj7c497z4/vvveeGFF8y6sz7oubvXmjVriI2NpX///jnWWbBgAdWrV6dly5Y51omIiKBVq1Y4ODiwadMmDhw4wGuvvWbWNXjTpk1cv36dbdu2MXPmTCZMmMDTTz+Nh4cHe/fu5c033+SNN97g2rVruXwGRHaSvBNCCCGEKCz+BnRAdSBlCVzcDFpH6D4vx+6ylb1KMDq0Rq4PsX79evMVZQIg4L/M4ydb1G9UyQMHrZobCWmcu5GYt/MRQjyxZs6cSYUKFahQoQJbtmwxKwsPDzeVvfPOOxbbduvWzVR+r8WLF5vKVq5caVGeG1qtlsWLF7NkyRJKlixJ8+bN+eCDDx6qi56vry+zZs2iRo0avPzyy7zzzjumbpFXrlxh0aJFrFixgpYtW1K1alVGjRpFixYtWLRoEQDly5dn1KhRBAYGUqVKFd555x06d+7Mr7/+anGsefPm8dZbb/Hnn3/y9NNP3zeujz/+mF9//ZUNGzbQs2dP3nrrLebOnZtj/RkzZpCYmMjzzxtnSrp58yYZGRlmCSkAb29vizHjsqtRowYLFy7kjz/+4KeffsJgMNCsWTOzhM3UqVPRarWWPyZlunjxImAcm+2jjz7ir7/+wsPDgzZt2nDr1i2r2+zatYvly5czaNDdcWHLli3L/Pnz+f333/n999/x9fWlTZs2HDx48L7nWLp0adOYdlFRUdjb25t1Ob73eYiKirL6PGWVPYx9+/Zx/PhxXn/9dbP1D3ru7vX9998TGhpq9VoCY/L4559/ZsCAAffdz7x583B3d2fZsmU0btyY6tWr079/f2rUuPv9o1SpUsyZM4caNWrw2muvUaNGDZKTk/nggw/w9/dn7Nix2Nvbs2PHjlzFLszJmHdCCCGEEIVF1v+hT8XDvx8Zl9uPB8+qZtU2n77BigPG2WWn/68eTvb3mV72QVQq6KDAr8AxF7gNZJvzwtFOQ3AVT7adjWHb2Riqe7s+/LGEEE+M+Ph4IiIiACxat2VkZJjKbt++bbFtTEyMqfxeSUlJprLkZMsfHHKrZ8+edO3ale3bt7Nnzx7+/vtvpk2bxoIFC+jXr1+u99O0aVOzMd1CQkL44osvyMjI4NixY2RkZFC9enWzbdLS0vD09ASMz8XkyZP59ddfiYiIQKfTkZaWhrOzs9k2v/32Gzdu3GDnzp25Gpts3LhxpuUGDRqQlJTE9OnTrSZ9li5dyqRJk/jjjz/uO5ZdboSEhBASEmJ63KxZM2rVqsU333zDJ598woEDB/jyyy85ePBgjmPhGQzGsVs//PBDevbsCRjH76tQoQIrVqzgjTfMW6IfP36c7t27M2HCBDp16mRaX6NGDbPkUrNmzbhw4QKzZs0yn3m9EPr++++pW7cuQUFBpnW5ee6yu3btGv/884/VRHCWVatWkZCQQN++fe+7r8OHD9OyZUvs7OxyrFO7dm3U2X5o9Pb2pk6dOqbHGo0GT09Pbty4AUCXLl3Yvt04Q1elSpUeqZXik0Ba3gkhhBBCFAapwLrMZfdPQZcAvsEQbD6o9J0UPe+vNLYOea15ZRrnsrtslm3btlmubNIAvM6AQQ2bLItb+Rtnnd1+7maejiWEeHK5ublRvnx5ypcvj4ODg1mZRqMxlXl4WM6QXbp0aVP5vUqUKGEquzfBlVeOjo507NiRcePGsWvXLvr168eECRMeaZ/ZJSYmotFoOHDgAIcPHzbdTp06ZZoZdfr06Xz55Ze89957bN68mcOHDxMaGmo2cQEYE3ClS5d+YPfXnAQHB3Pt2jWLROqyZct4/fXX+fXXX826hnp5eaHRaCxmVY2Ojs7TRB52dnY0aNCA8+fPA7B9+3Zu3LhBxYoV0Wq1aLVaLl++zMiRI/Hz8wOMLeYAAgICTPtxcHCgSpUqXLlyxWz/J0+epH379gwaNIiPPvrogfEEBQWZYsnpHGNiYkwt53x8fNDpdMTFxeX4PPj4+Fh9nrLK8iopKYlly5ZZtIbLzXOX3aJFi/D09KRbt245HmvBggU8/fTTFi0H7+Xk5PTAuO9N7KlUKqvrspKzCxYsMF0T69atQ9yfJO+EEEIIIQqDMCAR8E4C5dts3WXNW9V98tdJouPTqOxVglGdct9dNovVfySqtoUqm43L61ItiltkJu/2hseSlp6R52MKIZ48I0aM4Nq1a1y7do02bdqYlVWuXNlUZq0r55o1a0zl9+rXr5+p7LnnnsvXmAMCAkhKSsrTNnv37jV7vGfPHvz9/dFoNDRo0ICMjAxu3LhBtWrVzG5Z78U7d+6ke/fuvPLKK9SvX58qVapw9uxZi+NUrVqVzZs388cff1jtavwghw8fxsPDwyyR+ssvv9C/f39++eUXunbtalbf3t6eRo0aERYWZlpnMBgICwsza1n3IFktELMScq+++ipHjx41S2aWK1eO0aNH888//wDQqFEjHBwczGas1ev1XLp0iUqVKpnWnThxgrZt29K3b18+++yzXD8PWbHkdI7btm0znWOjRo2ws7Mzq3PmzBmuXLliqhMSEsKxY8dMLcoANmzYgJubm1kCMrdWrFhBWloar7zyitn63Dx3WRRFYdGiRaZZb60JDw9n8+bND+wyC1CvXj22b9+OXq/P8/nkpHz58qbrIfvrKqyTbrNCCCGEEIXBqsz7yr+CSoF2H4GXv1mVTaej+S2/ustm5+oDDS/APmCD5aQVNbxdKe3qQExCGgcu3aZZNa/8Oa4QQthAbGwsvXr14rXXXqNevXq4urqyf/9+pk2bRvfu3fO0rytXrjBixAjeeOMNDh48yNy5c/niiy8AqF69Oi+//DJ9+vThiy++oEGDBsTExBAWFka9evXo2rUr/v7+/Pbbb+zatQsPDw9mzpxJdHS01aRP9erV2bx5M23atEGr1TJ79myrMf35559ER0fTtGlTHB0d2bBhA5MnT2bUqFGmOkuXLqVv3758+eWXBAcHm8Zmc3Jywt3dHTAmYPv27Uvjxo0JCgpi9uzZJCUlmU1+0KdPH8qXL8+UKVMA41h7TZs2pVq1asTFxTF9+nQuX75sGrvN09PT1GU4i52dHT4+PqYurm5ubrz55ptMmDABX19fKlWqxPTp0wHo1asXYOwq265dO0JDQxkxYoQpfo1GQ+nSxomWZs+eTeXKlalduzapqaksWLCATZs28e+//5qOfe85zpo1i6SkJFPXaXd3dwYMGMCIESMoVaoUbm5uvPPOO4SEhNC0aVMAOnXqREBAAK+++irTpk0jKiqKjz76iLffftssWXr48GHA2CIzJiaGw4cPY29vb/Faf//99/To0cPiecrNc5dl06ZNhIeHW4yZl93ChQtNk4E8yJAhQ5g7dy4vvPACY8eOxd3dnT179hAUFGRx7Ed1/vx5EhMTiYqKIiUlxfS8BQQEYG9vn6/HKkokeSeEEEIIYWsKsE4BVOC/Gio0gaZvmVW5k6xn7Erj7LIDHqK77AN1LAHf6uGqC4QDle8WqVQqWlbzYuWhCLafvynJOyFEkebi4kJwcDCzZs3iwoUL6PV6fH19GThwIB988EGe9tWnTx9SUlIICgpCo9Hw7rvvmk2asGjRIj799FNGjhxJREQEXl5eNG3a1DThxEcffcTFixcJDQ3F2dmZQYMG0aNHD+7cuWP1eDVq1GDTpk20adMGjUZjShRmZ2dnx7x58xg+fDiKolCtWjVmzpzJwIEDTXW+/fZb0tPTefvtt3n77bdN6/v27cvixYsB6N27NzExMYwfP56oqCgCAwNZv369WRfLK1eumI1zdvv2bQYOHEhUVBQeHh40atSIXbt25bkF2vTp09Fqtbz66qukpKQQHBzMpk2bTN2sf/vtN2JiYvjpp5/46aefTNtVqlSJS5cuAcbZZLOed2dnZ+rVq8fGjRtp27atqb61c/ztt9/MznHWrFmo1Wp69uxJWloaoaGh/N///Z+pXKPR8NdffzF48GBCQkIoUaIEffv25eOPPzY7pwYNGpiWDxw4wNKlS83iBWOrvh07dpglGB/G999/T7NmzahZs6bVcoPBwOLFi+nXrx8azYN/CPT09GTTpk2MHj2a1q1bo9FoCAwMpHnz5o8UpzWvv/46W7duNT3Oet7Cw8Otdg9+UqiUh+kwX8hcu3YNX19frl69muMsKqJo0ev1rFu3jqeeeuq+g2IKIQqeXJ9CPAaHgQaAXSKMrQlDNkFp8wHOR/56hN8PXqOyVwnWDW2ZY6s7a9docuUKBE80/sMz2Xsyz3R+xnLDcxugQwm40gzmK/CG+WDYqw5dY/jyI9Qp78Zf77R81DMW4olUHD9DU1NTCQ8Pp3Llyjg6Oto6nALVpk0bAgMDc2wBJ4oeg8FAfHw8bm5uZklJUXjd7z2oOOWK5K9RCCGEEMLWVme2sKi8DTqNtkjcbTodze8H86e77ODBg60XVGoGVTMns1hrOeZT88zWdieuxxObmGZRLoQQQgghHg9J3gkhhBBC2JKiwPII43LjcxAyxKz4TrKe939/jN1ls9iXgJDM2WS3auGeeSnKuDpS08cVRYGdF2IfTwxCCCGEEMKCJO+EEEIIIWxpx29wJrOl3fBnLGaXnfTXCW4kpFHFqwSjQh99UOiRI0fmXNihHDjcgXhHOGhZ3DJz1tkd52IeOQ4hhCjqtmzZIl1mhRAFQpJ3QgghhBC2ok+BbzaCooWKt6BxFbPiA5dvs/JghLG7bK96ONo9+uyyb7zxRs6F1duA33bj8j8ZFsUt/Y0z+G0/d5NiMGyyEEIIIUSRIMk7IYQQQghbOb8RTjYzLvcoaVH8x2Fjd9oegeVpVOkxdZfNrmx9qLnXuLwu0aI4qHIp7LVqIu+kciHGslwIIYQQQuQ/Sd4JIYQQQtjKiT/gfAfj8lPmX8sMBoW/j0cB8Ez9sgUTj1oDrdKNywec4Z55KRztNARljrm3/dzNgolJCCGEEOIJJ8k7IYQQQghb0KfC9nBIKA+OGdDavPjAldvEJKTh6qg1zfRaIFrVBOcY0NnBf5bFWePeSfJOCCGEEKJgSPJOCCGEEMIWLm6+22W2jRoczYvXHo0EoGMtbxy0jz7WXZaGDRvev0K1tuC307gclmpR3CIzebfnYiy6dEO+xSWEEEIIIayT5J0QQgghhC2c/APOdzQuP6UyKzIYFNZndpl9qm7+dplNTHzAWHUlK0KtM8blfxIsimv5uOHlYk+yLoODV27na2xCiCdXsi4dv/fX4vf+WpJ16bYORwghChVJ3gkhhBBCFLR0HRzZCleaGh93MS8+dDWOqPhUXBy0ppZu+cXf3//BldpmfkU86AZ68yK1WmXqxrtDus4KIYoxlUrF6tWr832/EydOJDAwME/btGnThmHDhtk8DiGEbUjyTgghhBCioIVvhdOBYLCHqgpUMy9ed8zYZbZ9rTI42uVfl1mAtWvXPrhSm1rgdAvSHGC/ZXFL/9IAbD8Xk6+xCSFEQYmJiWHw4MFUrFgRBwcHfHx8CA0NZefOnaY6kZGRdOnS5T57eTijRo0iLCwsT9usXLmSTz75JN9jEUIUDQ+VvJs3bx5+fn44OjoSHBzMvn37cqz73Xff0bJlSzw8PPDw8KBDhw4W9RVFYfz48ZQtWxYnJyc6dOjAuXPnHiY0IYQQQojC7+Tqu11mu5h3mVUUhb8zk3f53WU216q2hEqZ/8Cuj7Mozpq04mjEHeKSdQUYmBBC5I+ePXty6NAhlixZwtmzZ1mzZg1t2rQhNjbWVMfHxwcHB4d8O6aiKKSnp+Pi4oKnp2eeti1VqhSurq75FosQomjJc/Ju+fLljBgxggkTJnDw4EHq169PaGgoN27csFp/y5YtvPjii2zevJndu3fj6+tLp06diIiIMNWZNm0ac+bMYf78+ezdu5cSJUoQGhpKaqrlIMlCCCGEEEVahh5OrYXz7Y2P72nUceTaHa7fScXZXkPr6qULPj4AR3cIvGpc3mg5Rp63myPVvV1QFNh5PtaiXAghCrO4uDi2b9/O1KlTadu2LZUqVSIoKIixY8fSrVs3U70HdZtNS0tj6NChlClTBkdHR1q0aMF//92dpnvLli2oVCr+/vtvGjVqhIODAzt27LDorpqens7QoUMpWbIknp6evPfee/Tt25cePXqY6tzbbdbPz4/Jkyfz2muv4erqSsWKFfn222/N4nvvvfeoXr06zs7OVKlShXHjxqHX3zMWghCiSMhz8m7mzJkMHDiQ/v37ExAQwPz583F2dmbhwoVW6//888+89dZbBAYGUrNmTRYsWIDBYDA1E1YUhdmzZ/PRRx/RvXt36tWrxw8//MD169cfy/gCQgghhBA2dWk7XC0NdyqBgwJtzIuzusy2q5n/XWbzpF1ma5ODnmBl7HjpOiuEsEZRFJJ16fe93UxMtbjFJqaZ9hGbmGa1zoP2qyhKrmJ0cXHBxcWF1atXk5aW9uANcjBmzBh+//13lixZwsGDB6lWrRqhoaHcunXLrN7777/P559/zqlTp6hXr57FfqZOncrPP//MokWL2LlzJ/Hx8bn6X/iLL76gcePGHDp0iLfeeovBgwdz5swZU7mrqyuLFy/m5MmTfPnll3z33XfMmjXroc9XCGE72rxU1ul0HDhwgLFjx5rWqdVqOnTowO7du3O1j+TkZPR6PaVKlQIgPDycqKgoOnToYKrj7u5OcHAwu3fv5oUXXrDYR1pamtmbbEKCcSa09PR0+SWhmMh6HeX1FKLwketTiEejPr4KTWaXWUMrhQy7dNOkEIqisO7odQBCA8o81HVm7RrN/u/s+PHjmfLxlAfuR9WmBlrHOEgtSfqeNJRg8998QyqX5PsdxuSdTqdDpVJZ3Y8Q4q7i+Bmq1+tRFAWDwYDBYCBZl06diRseaZ8tp215qO2OT+yIs/2D/8VVq9UsXLiQN954g/nz59OwYUNatWpF7969LZJrWed1r6SkJL7++msWLlxIaGgoAN988w0bNmxgwYIFjBo1yrTdxIkTad++vWnbrCRjVvncuXN5//336d69OwBz5sxh3bp1puc1+3bZH3fp0oU333wTgNGjRzNr1izCwsJMExN98MEHproVK1Zk5MiRLF++nFGjRlmNQ9x9Tu59rkXhZTAYUBQFvV6PRmP+o2d6evGZuTpPybubN2+SkZGBt7e32Xpvb29Onz6dq3289957lCtXzpSsi4qKMu3j3n1mld1rypQpTJo0yWJ9WFgYXl75OyObsK0NGx7tg18I8fjI9SlE3qmUDEKPr0Jz/gcATvie4OK6i6byK4lwLU6LvVoh9eIB1l1++GNlv0ZbZvvRc8mSJbRs2jIXsabzdKUk1GdCufx/ezkee9usPC0DNCoNEXGpLFn5N2WcHj5WIZ40xekzVKvV4uPjQ2JiIjqdjhRdhs1iSYhPIN0+dy2WO3bsyMmTJ9m9ezf79+9nw4YNTJ8+nTlz5vDSSy+Z6qWkpBAfH2+x/fHjx9Hr9dSrV8+svEGDBhw9epT4+HiSk5MBqFGjhlmdtLQ0MjIyiI+P586dO0RHRxMQEGBWp169eqSnp5vWpaeno9PpTI8NBgPVq1c326Z06dJcu3bNtG7lypV88803XLp0iaSkJNLT03F1dTWVZ49DmMtqICQKP51OR0pKCtu2bbNI1t28efOh9jlv3jymT59OVFQU9evXZ+7cuQQFBVmt+9133/HDDz9w/PhxABo1asTkyZPN6iuKwoQJE/juu++Ii4ujefPmfP3116ZEe27kKXn3qD7//HOWLVvGli1bcHR0fOj9jB07lhEjRpgeR0REEBAQQPv27Slfvnx+hCpsTK/Xs2HDBjp27IidnZ2twxFCZCPXpxAPT3VpO9p9GSiXm6MCag6rSc2aNU3l0/89C1yiXS0fejxT/6GOYe0a1WUbcN3BwYGnnnoqdztbsQzOQJXw8lR8KsSieGXMf+wJv422Qh2eCq74UPEK8SQpjp+hqampXL16FRcXFxwdHXFVFI5P7HjfbZKtJPhSdBm0nrEVgK2jWuNkJQnn/IDEnJOdJk+tgN3c3OjevTvdu3fnk08+YeDAgUydOtXUmg3AyckJNzc3i21dXFwAY9fU7OVarRY7Ozvc3NxwdnYGjBNfZK/j4OCARqPBzc3N1NKrRIkSFvsxGAymdVqtFnt7e9NjtVp932Pv3r2bQYMGMXHiRDp16oS7uzvLly9n5syZpm2yxyGMFEUhISEBV1dXaVFeRKSmpuLk5ESrVq0s8kzZ51rIrax5HubPn09wcDCzZ88mNDSUM2fOUKZMGYv6WfM8NGvWDEdHR6ZOnUqnTp04ceKEKT+VNc/DkiVLqFy5MuPGjSM0NJSTJ0/mOjeWp+Sdl5cXGo2G6Ohos/XR0dH4+Pjcd9sZM2bw+eefs3HjRrOmyFnbRUdHU7bs3RnVoqOjzQbxzM7BwcFs1p+sXwqy3qxE8WFnZyevqRCFlFyfQjyEs2vhUktUGQ7gB3Z17CDzfwNFUfjnpHECsKfrl3vk6yv7NZq9g96qVatyv+9OLrAUVEd8sFPbwT3/N7eqUYY94bfZeeE2/VtUfaR4hXiSFKfP0IyMDFQqFWq1GrXa2L3eRXP/JJuLlf9Vk3V3W8yUdnPMVffX/Fa7dm3++OMP03kAZueVnb+/P/b29uzevZvKlSsDxuTs/v37GTZsmNl29+4jKymkVqvx8PDA29ubAwcO0KZNG8D4nB46dIjAwECL7e73OPu6PXv2UKlSJT766CNT2ZUrV0zHvTcOYZTVVdbacysKJ7VajUqlsvq+qtXm/X0k+zwPAPPnz2ft2rUsXLiQ999/36L+zz//bPZ4wYIF/P7774SFhdGnTx+LeR4AfvjhB7y9vVm9erXVoeKsnmdeTsLe3p5GjRqZJpsATJNPhIRY/hqbZdq0aXzyySesX7+exo0bm5VVrlwZHx8fs33Gx8ezd+/e++5TCCGEEKJIMWTAqT/hXGaLlC6YEncAJ67Hczk2GQetmrY1LH/ZzS+1a9fOfeXOdcE+HlJKwIEUi+JWmZNW7LkYiz5DxgYSQhQNsbGxtGvXjp9++omjR48SHh7OihUrmDZtmumf6wcpUaIEgwcPZvTo0axfv56TJ08ycOBAkpOTGTBgQJ7ieeedd5gyZQp//PEHZ86c4d133+X27duP1PLL39+fK1eusGzZMi5cuMCcOXNYtWrVQ+9PiCdB1jwP2edkeNzzPORWntOQI0aMoG/fvjRu3JigoCBmz55NUlKSKSvZp08fypcvz5QpxoGQp06dyvjx41m6dCl+fn6mceyyZvhRqVQMGzaMTz/9FH9/f1MTwnLlyplNjS2EEEIIUaRd3QsJ0XDBOLA5nc2L/z5unGW2TY3SlHAo+BYnVpWpClV2wOmWsOYyBNU0Kw4o60apEvbcStJx+GocTfxK2ShQIYTIPRcXF4KDg5k1axYXLlxAr9fj6+vLwIEDzSZ5eJDPP/8cg8HAq6++SkJCAo0bN+aff/7Bw8MjT/G89957REVF0adPHzQaDYMGDSI0NNRi8P286NatG8OHD2fIkCGkpaXRtWtXxo0bx8SJEx96n0IUVQkJCWZjO97bmzNLYZnnwZo8fzPs3bs3MTExjB8/nqioKAIDA1m/fr0pkCtXrpg1L/3666/R6XT873//M9vPhAkTTG8cY8aMISkpiUGDBhEXF0eLFi1Yv379I42LJ4QQQghRqJxcA7eqwu2KYA+0u1ukKArrjhm/wD1Vt6z17W1BpYJGt+E0sMVyxja1WkXzal78eeQ628/dlOSdEKJIcHBwYMqUKaYGJznJGo8uJ46OjsyZM4c5c+ZYLW/Tpo3VfUycONEsiabVapk7dy5z584FjL3batWqxfPPP2+qs2XLFrN9XLp0yWK/hw8fNns8bdo0pk2bZrZu2LBhOcYhRHEVEBBg9jh7Pio/5dc8D9Y81M+6Q4YMYciQIVbLcvOmci+VSsXHH3/Mxx9//DDhCCGEEEIUbgYDnFoD554xPm4JuNwtPh2VQPjNJOy1atrVfHxdZsH4z12zJs1yv0EnN/gZOFoOFMy6+gK0NCXvYhjRsXp+hiqEEE+Ey5cv8++//9K6dWvS0tL46quvCA8PN5v1Vgjx8E6ePGk2uam1VndQeOZ5sEZGYBRCCCGEeNwiDkB8BFzM7Ct7b5fZY8Yus638S+Pq+HgHsc/ekiNXnq4LmlRIKAWHYiyKW/h7AXDkahx3UvQW5UIIkRvO9loufd6VS593tclkFbakVqtZvHgxTZo0oXnz5hw7doyNGzdSq1YtW4cmRLGQNTNz1i2n5F1hnufhyXpXFEIIIYSwhZOrQe8Il5sbH3cxL1533Nhltmu9+/+qaxOlPKHKYTgXCH+EQ8PSZsXlSjpRtXQJLsQksfvCTTrXKUTdfoUQogjw9fVl586dtg5DCEHhnedBkndCCCGEEI+TohjHu7vUAnT24AtkG3rlbHQC528kYq9R076Wd467yS9ZXz7zpEk8nAO2ZlgtbulfmgsxSWw7J8k7IYQQQhRdhXWeB0neCSGEEEI8TtcPwZ0rEP6u8XFnzMaNW5fZZbalvxduj7nLLMDYsWPzvlGnkrAUOFrBmIxUmQ9819Lfi8W7LrHj3M18iVEIIYQQwlYK4zwPMuadEEIIIcTjdPIP4/2lp43393SZ/TtzltkuhWmW2Xt1qwGqDLjtC4fOWhQ3reKJnUbFlVvJXI5NskGAQgghhBDFlyTvhBBCCCEeF0UxJu9uVYZIH2Ofh/Z3i8/fSORMdAJ2GhUdC6DL7EPzcAC/cOPymssWxSUctDSs6AHAdml9J4QQQgiRryR5J4QQQgjxuEQdg9vhEJ7Z3K454Ha3OGuW2ebVvHB3fvxdZh9JUKLxfrtitbhl5qyz289ZzkgrhBBCCCEeniTvhBBCCCEel6wusxHPG+9zmGX2qQKc5KFjx44Pt2FoKeP9MT/Qp1oUt/Q3zkK760Is6RmGh4xOCPHE0iXBRHfjTSfd74UQIjtJ3gkhhBBCPA6KAidXQ7oDnKprXJcteRd+M4lTkfFo1Co6BhRcl9nLly27veZKV1/jfUwNOHLAorhOeXfcnexISE3nyLU7jxChEEIUDiqVitWrVz+2/U+cOJHAwEDT4379+tGjRw/T4zZt2jBs2LDHdvz8cu95CCHynyTvhBBCCCEehxunIPY8XG0NqVooB9S9W5w1y2yzqp54lLAvsLA8PDwebsMyKqhw3bi89qpFsUatokU1Y9dZmXVWCFHYxcTEMHjwYCpWrIiDgwM+Pj6Ehoayc+dOU53IyEi6dOlyn73kry+//JLFixcXyLEk4SZE0SLJOyGEEEKIxyGry2xMP+N9Z0B1t/jv48bk3VMFPMvs3r17H37jpsnG+x0qq8UtZNw7IUQR0bNnTw4dOsSSJUs4e/Ysa9asoU2bNsTGxprq+Pj44ODgUGAxubu7U7JkyUfah06ny59ghBCFiiTvhBBCCCEeh6zk3ekWxvvOd4uuxCZzPMLYZbZTAXaZfWShxuQcJ/0hKdaiOKvl3aGrccSn6gsyMiGEyLW4uDi2b9/O1KlTadu2LZUqVSIoKIixY8fSrVs3U70HdZs1GAxMmzaNatWq4eDgQMWKFfnss89M5e+99x7Vq1fH2dmZKlWqMG7cOPT6nN8b7+02C5Cens6QIUNwd3fHy8uLcePGoSh3Jw7y8/Pjk08+oU+fPri5uTFo0KAHHnvx4sVMmjSJI0eOoFKpUKlUphZ/cXFxvP7665QuXRo3NzfatWvHkSNHzGL6/PPP8fb2xtXVlQEDBpCaajkOqhAif2ltHYAQQgghRLETcwZiTsGdKhDuDhog2zwR6zJb3TWtUgpPl4Jr1fHIQksa7yPrwfG1ENzdrNi3lDNVvEpw8WYSey7E0qm2T8HHKISwLUUBffL96+islGdfl3gT7K3UsXe+/37tnEFlvWVwdi4uLri4uLB69WqaNm360K3rxo4dy3fffcesWbNo0aIFkZGRnD592lTu6urK4sWLKVeuHMeOHWPgwIG4uroyZsyYXB9jyZIlDBgwgH379rF//34GDRpExYoVGThwoKnOjBkzGD9+PBMmTMjVsXv37s3x48dZv349GzduBIyt/gB69eqFk5MTf//9N+7u7nzzzTe0b9+es2fPUqpUKX799VcmTpzIvHnzaNGiBT/++CNz5syhSpUqD/UcCiFyR5J3QgghhBD57eQa4/2dwcb7EKDk3eKs8e66FOAss/nCFyhzG254wN9XIdiySgt/Ly7eTGL7uZuSvBPiSaRPhsnlHm0fc+o93HYfXAf7Eg+sptVqWbx4MQMHDmT+/Pk0bNiQ1q1b88ILL1CvXu6OnZCQwJdffslXX31F3759AahatSotWrQw1fnoo49My35+fowaNYply5blKXnn6+vLrFmzUKlU1KhRg2PHjjFr1iyz5F27du0YOXKk2Xb3O7aTkxMuLi5otVp8fO6+T+/YsYN9+/Zx48YNU0JzxowZrF69mt9++41BgwYxe/ZsBgwYwIABAwD49NNP2bhxo7S+E+Ixk26zQgghhBD5LavL7MXMgc6zdZm9eiuZo9fuoFZBqA2SW3Pnzn20HTRNMd7v0hpb2NyjpX9pAHacl0krhBCFV8+ePbl+/Tpr1qyhc+fObNmyhYYNG+Z6wohTp06RlpZG+/btc6yzfPlymjdvjo+PDy4uLnz00UdcuXIlT3E2bdoUVbbWhCEhIZw7d46MjAzTusaNG+fLsY8cOUJiYiKenp6m1okuLi6Eh4dz4cIF03kHB5v/chMSEpKncxJC5J20vBNCCCGEyE+xFyD6GBicYH8F47pskxWuPx4FQFDlUpR2Lfgus3PnzuW9Ee89/A46e8Ia4Gwd47l6VTMrblqlFBq1ivCbSVy9lYxvqQd0cxNCFC92zsYWcPeTU7fZrBZ3Q49a7yKbm26zeeDo6EjHjh3p2LEj48aN4/XXX2fChAn069fvgds6OTndt3z37t28/PLLTJo0idDQUNzd3Vm2bBlffPFFnmLMjRIlzFsbPuyxExMTKVu2LFu2bLEoe9SJNIQQj0aSd0IIIYQQ+Smr1Z1uECSpwBsIvFu89phtZpnNN20zE47XGsPpn6GFefLO1dGOhhVL8t+l2+w4f5MXgyraIEghhM2oVA/uumqtXJd0d9nFK1fdX/NbQEDAfSeoyM7f3x8nJyfCwsJ4/fXXLcp37dpFpUqV+PDDD03rLl++nOeY7p0hfM+ePfj7+6PRaHLcJjfHtre3N2u9B9CwYUOioqLQarX4+flZ3XetWrXYu3cvffr0MYtJCPF4SbdZIYQQQoj8lJW8u9rbeN8F0zeuiLgUDl+NQ6WCzjYaD+77779/tB3UAEomQ4YjbLxqtUqLasaus9vPxTzasYQQ4jGIjY2lXbt2/PTTTxw9epTw8HBWrFjBtGnT6N69+4N3gLHV3nvvvceYMWP44YcfuHDhAnv27DG9x/r7+3PlyhWWLVvGhQsXmDNnDqtWrcpzrFeuXGHEiBGcOXOGX375hblz5/Luu+/ed5vcHNvPz4/w8HAOHz7MzZs3SUtLo0OHDoSEhNCjRw/+/fdfLl26xK5du/jwww/Zv38/AO+++y4LFy5k0aJFnD17lgkTJnDixIk8n5cQIm8keSeEEEIIkV9uX4LIw6BSw381jOu63i3O6jLbpFIpyrg5Fnh4AC1btny0HaiAkDTj8m4HyNBbHqO6FwA7z8eSYbAcF08IIWzJxcWF4OBgZs2aRatWrahTpw7jxo1j4MCBfPXVV7nez7hx4xg5ciTjx4+nVq1a9O7dmxs3bgDQrVs3hg8fzpAhQwgMDGTXrl2MGzcuz7H26dOHlJQUgoKCePvtt3n33XcZNGjQfbfJzbF79uxJ586dadu2LaVLl+aXX35BpVKxbt06WrVqRf/+/alevTovvPACly9fxtvbG4DevXszbtw4xowZQ6NGjbh8+TKDBw/O83kJIfJGpShWRhouYq5du4avry9Xr16lQoUKtg5H5AO9Xs+6det46qmnsLOzs3U4Qohs5PoU4j52zoEN48C5N7z3rXGAkpuAu7G459e7OHD5NhOeCaB/88qPJQRr12hy5QoET/QAYO9Le3HO47hQFmYbYLgaqv0LYW5QsalZcXqGgQafbCAhNZ3Vbzcn0Lfkox1PiGKiOH6GpqamEh4eTuXKlXF0fIQfJXRJd2epzeWssULkN4PBQHx8PG5ubqjV0tapKLjfe1BxyhXJX6MQQgghRH7J6jIb3d943xJT4i7qTioHLt8GoEudIjreXZZWmV8hrwbD2S0WxVqNmuZVja3vtp+VrrNCCCGEEI9CkndCCCGEEPkh7ipE7AdUcKihcZ1Zl1njRBWNKnng426bLrPwcAOmW6gPlNBBmjtst76/rK6z28/ffPTjCSGKP/sSMPGO8Sat7oQQwowk74QQQggh8sOpP4333u1gZ+aMrNmSd+uOGce761LHNhNVZOnYseOj70QDNM2cpXBfSUi9Y1GlZeakFQcv3yYxLf3RjymEEEII8YSS5J0QQgghRH44tcZ4nzAIdEBljDOzAjfiU/nv8i0AutQt4l1ms7RzMt5fbgrh2y2KK3o6U8nTmXSDwt6LsQUcnBBCCCFE8SHJOyGEEEKIRxUfCVf2GJdPZs7m2hXjzKzAPyeiUBQI9C1J+ZJONgkxS7du3fJnR60y76+EwIXNVqu0qJbZdfacdJ0VQgghhHhYkrwTQgghhHhUp/8CFCgfBBszx2rK1mV27THjeHdP1bVtl1mAGTNm5M+OmgD2GZBUBnZftFqlpb+x6+z2czJphRBCCCHEw5LknRBCCCHEo8qaZdZuAEQAzkAb46qYhDT2hWd2mS3qs8xm5wAEKcblYxUg7opFlZCqnqhVcCEmietxKQUbnxBCCCFEMSHJOyGEEEKIR5F4Ay7vNC6f72y8bw9kTij778koDArUq+CObylnm4T42LTWGu8vN7PaddbdyY5A35IA7JCus0IIIYQQD0WSd0IIIYQQj+L0X6AYoFxD2FzSuM5sllljl9li1eoui2ncu2ZwYZPVKlldZ7dJ11khxH0k65Opu6QudZfUJVmfbOtwhBCiUHmo5N28efPw8/PD0dGR4OBg9u3bl2PdEydO0LNnT/z8/FCpVMyePduizsSJE1GpVGa3mjVrPkxoQgghhBAFK6vLbPnekDlnBV2Md7GJaey5aOwyWxjGuwN4/vnn829nIYBagbhKcOgsGDIsqrT0N05asfP8TQwGJf+OLYQQRVCbNm0YNmyY6bGfn5/V/5GzU6lUrF69+rHGJYQo3PKcvFu+fDkjRoxgwoQJHDx4kPr16xMaGsqNGzes1k9OTqZKlSp8/vnn+Pjk/KW1du3aREZGmm47duzIa2hCCCGEEAUrKRbCtxuXrz0HBqAuUNG4asPJaDIMCrXLuVHJs4StojRz+PDh/NuZK9AwMyF3NgAij1hUqe9bElcHLbeT9Zy4Hp9/xxZCiGLgv//+Y9CgQfm6z4kTJxIYGJiv+3yQo0eP0rJlSxwdHfH19WXatGkFenwhirs8J+9mzpzJwIED6d+/PwEBAcyfPx9nZ2cWLlxotX6TJk2YPn06L7zwAg4ODjnuV6vV4uPjY7p5eXnlNTQhhBBCiIJ1Zi0oGeBTD7aWMa6zOstsMewym6Vl5tfJy83houW4d3YaNU2regLSdVYIIe5VunRpnJ2L9nio8fHxdOrUiUqVKnHgwAGmT5/OxIkT+fbbb20dmhDFhjYvlXU6HQcOHGDs2LGmdWq1mg4dOrB79+5HCuTcuXOUK1cOR0dHQkJCmDJlChUrVrRaNy0tjbS0NNPjhIQEANLT09Hr9Y8Uhygcsl5HeT2FKHzk+hTiLs3x1aiBDP9uqD9QUKEiPTQdRa9wO1nHrguxAHSs6VVg14y1azR7Z9WTJ0/mayyqEBXaWVq4EoLh/Cgymg61qNO8igcbTkaz/ewNBrWolG/HFqKoKY6foXq9HkVRMBgMGAyGh95P9m0fdV95OeYXX3zBd999x9WrV/H29mbQoEF88MEHvP/++6xevZpr167h4+PDSy+9xLhx47CzswNg0qRJ/PHHHwwfPpwJEyZw+/ZtOnfuzLfffourqysASUlJvPXWW6xatQpXV1dGjhwJYHq+AKpUqcK7777Lu+++Cxj/Lx44cCD79u2jSpUqzJo1y+I5uV9sixcvZtKkSYCxuy3A999/T79+/YiLi2P06NGsWbOGtLQ0GjduzBdffEH9+vUBOHLkCCNGjGD//v2oVCr8/f35+uuvady48X2fxx9//BGdTseCBQuwt7enVq1aHDp0iJkzZ/L666/n2+tVEBRFMd0XxN+geHQGgwFFUdDr9Wg0GrOy9PR0G0WV//KUvLt58yYZGRl4e3ubrff29ub06dMPHURwcDCLFy+mRo0aREZGMmnSJFq2bMnx48dNb3zZTZkyxfSGlF1YWJi02CtmNmzYYOsQhBA5kOtTPOns0pPofHELAIe2VafxbRU6Vx3rb61HWaew54aKDIOGcs4Kp/Zt5VQBx5f9Gm2Z7UfPf/75B3uVfb4dxz7Fni50gZhaKKfO8s+fq8jQmPe20KcAaPnv0i1W/bkOB43VXQnxxChOn6FZPagSExPR6XQoikJqRup9t0lJT7FYl5p+d5srMVdw1Dpa1HHSOt13v44aR1PCKjcmTJjADz/8wOTJk2natClRUVGcO3eO+Ph47O3tmTt3LmXLluXEiRMMGzYMOzs7U5ItLS2NCxcu8Pvvv7N06VLi4uJ47bXX+Pjjjxk3bhwAI0eOZMuWLfz88894eXnxySefcPDgQWrVqkV8vHEYAYPBQGpqKvHx8RgMBp599lnKlCnDhg0biI+PZ8yYMcbnLCXFtM39YuvSpQtDhgxh48aNpnHy3NzciI+Pp2fPnjg6OvLrr7/i5ubG4sWL6dChA/v378fDw4OXXnqJevXqERYWhkaj4dixY6SlpZmOm5Pt27cTEhJCamoqqanG17FFixZMmzaNK1euULJkyVy/JoVFVgMhUfjpdDpSUlLYtm2bRbLu5s2Hm+l+3rx5TJ8+naioKOrXr8/cuXMJCgqyWvfEiROMHz+eAwcOcPnyZWbNmmU2riUYu7Lfm8OqUaNGnvJoeUrePS5dunQxLderV4/g4GAqVarEr7/+yoABAyzqjx07lhEjRpgeR0REEBAQQPv27SlfvnyBxCweL71ez4YNG+jYsaPp1y0hROEg16cQRqqjy1Afy0ApE0CDM08DoO2hpcszxu81K384CNykV9NqPNW2aoHFZe0a1WUbuiQ0NPSB/wDnlTJFQXVaheZKEzr3d0Wp1sG8XFFYcmk71+JSKVWjCa2rl87X4wtRVBTHz9DU1FSuXr2Ki4sLjo6OJOuTabWs1YM3vI/eYb0farvdL+zG2S53XVATEhL45ptvmDNnjql1WNZ47gAff/yxqW6dOnW4du0ay5cvNyXmHBwcMBgM/Pjjj6YGJ6+++irbt2/Hzc2NxMREfvrpJ3744QeeeeYZAH766ScqVqyIvb09bm5ugLEnm6OjI25ubvz777+cO3eOf//9l3LlygHG1nNdu3bFycnJtM39YnNzc6NUqVI4ODjg7+9vqrdjxw4OHjxIVFSUaTirBg0a8Pfff/PPP/8waNAgIiIiGDNmjKmlXYMGDXL1XMbGxlK5cmVTfACVK1cGjK0Pc+pRVxgpikJCQgKurq55SgQL20lNTcXJyYlWrVrh6Gie9I+IiMjz/rLmeZg/fz7BwcHMnj2b0NBQzpw5Q5kyZSzqZ83z0KtXL4YPH57jfmvXrs3GjRtNj7XavKXj8lTby8sLjUZDdHS02fro6Oj7TkaRVyVLlqR69eqcP3/earmDg4PZ+HlZvwRotdpi8yEojOzs7OQ1FaKQkutTPPHO/AWAqlYPNDOMTcnUz6pR26m5k6xn10Vjl9lnAivY5FrJfo1m76D3WL4vtQZOA5dD0F7eDrW6WFRpWb0Mv+y7wq6LcXSoXS5/jy9EEVOcPkMzMjJQqVSo1WrTzVbycvwzZ86QlpZGx44drW6zfPly5syZw4ULF0hMTCQ9PR03NzdTXZVKhZ+fH+7u7qZtypUrx40bN1Cr1YSHh6PT6QgJCTFt4+XlRY0aNUzPV5asx2fOnMHX15cKFSqYypo3b25xbrmJLWubLMeOHSMxMZHSpc1/PElJSSE8PBy1Ws2IESMYNGgQP//8Mx06dKBXr15UrfrgH59UKpXFOWUt2/pvIq+yusreez6i8FKr1ahUKqvvq3lNkIH5PA8A8+fPZ+3atSxcuJD333/fon6TJk1o0qQJgNXy7LE8St4sT2dib29Po0aNCAsLo0ePHoDxjzssLIwhQ4Y8dBD3SkxM5MKFC7z66qv5tk8hhBBCiHyTegcubMp88DyEA45AJ+OaDaei0WcoVPd2oVoZFxsFad3PP//MwH4D83enLYFvgMst4OJb1qv4e/HLvivsOC+TVghRnDlpndj70t771rHWbTYlPYUuK42J/7+f+9tqC+EHtRrOS6tiJ6ec6+7evZuXX36ZSZMmERoairu7O8uWLeOLL74wq3dvokClUj32cdJyG9u9EhMTKVu2LFu2bLEoy+rWOnHiRF566SXWrl3L33//zYQJE1i2bBnPPvvsffft4+NjtYFPVpkQtpaQkGDW/fveBmFZCss8D9bkOZU8YsQIvvvuO5YsWcKpU6cYPHgwSUlJpqxknz59zE5Up9Nx+PBhDh8+jE6nIyIigsOHD5u1qhs1ahRbt27l0qVL7Nq1i2effRaNRsOLL76Y1/CEEEIIIR6/s/9Ahg68asB2Y9cgOgEljIt/F+JZZq2NG/zIWmfeR9WDKxEQf92iSrOqnqhVcDY6ketxlv+4CyGKB5VKhbOd831vnk6eFrdSjqVM+yjlWMpqnQftNy/dHP39/XFyciIsLMyibNeuXVSqVIkPP/yQxo0b4+/vz+XLl/P0PFStWhU7Ozv27r2byLx9+zZnz57NcZtatWpx9epVIiMjTev27NmT59js7e3JyMgwW9ewYUOioqLQarVUq1bN7JZ93Pjq1aszfPhw/v33X5577jkWLVr0wHMNCQlh27ZtZhOxbNiwgRo1auDh4fHA7YV43AICAnB3dzfdpkyZYrXe/eZ5iIqKeujjZ83zsH79er7++mvCw8Np2bJlnsZWzHMbwt69exMTE8P48eOJiooiMDCQ9evXm07uypUrZs1Lr1+/btZXfsaMGcyYMYPWrVubsv7Xrl3jxRdfJDY2ltKlS9OiRQv27Nlj0aRXCCGEEKJQOPmH8T6gO4zKXNfDeBefqmf7OeMAyYUxefdYVACqA2c1cLkZnFgNIeYt8Eo629O4Uin2XbrFumORvN6yii0iFUIIABwdHXnvvfcYM2YM9vb2NG/enJiYGE6cOIG/vz9Xrlxh2bJlNGnShLVr17Jq1ao87d/FxYUBAwYwevRoPD09KVOmDB9++OF9u2J26NCB6tWr07dvX6ZPn058fDwffvihWZ3cxObn50d4eDiHDx+mQoUKuLq60qFDB0JCQujRowfTpk2jevXqXL9+nbVr1/Lss89Su3ZtRo8ezf/+9z8qV67MtWvX+O+//+jZs+cDz/Wll15i0qRJDBgwgPfee4/jx4/z5ZdfmmbKFcLWTp48aTY/grVWd49TXud5sOahJqwYMmRIjt1k722G6+fnZ5puOSfLli17mDCEEEIIIQpeWgKcy5wp0vV/cAhjXwbjnBWEnYpGl2GgaukS+BeyLrNg/CH1sWgHnAUutobjKyySdwDPBJZj36Vb/HH4uiTvhBA2N27cOLRaLePHj+f69euULVuWN998kwEDBjB8+HCGDBlCWloaXbt2Zdy4cUycODFP+58+fTqJiYk888wzuLq6MnLkSO7cuZNjfbVazapVqxgwYABBQUH4+fkxZ84cOnfubKrTrVu3B8bWs2dPVq5cSdu2bYmLi2PRokX069ePdevW8eGHH9K/f39iYmLw8fGhVatWeHt7o9FoiI2NpU+fPkRHR+Pl5cVzzz2Xq9ba7u7u/Pvvv7z99ts0atQILy8vxo8fz6BBg/L0fAnxuLi6uppNqJKTwjLPgzUq5UGZtSLg2rVr+Pr6cvXqVbPBPUXRpdfrWbduHU899VSxGcxXiOJCrk/xxDv+O/z2GpSqChyAd1XGMd+2GYsH/rCfDSejGdquGiM61Sjw8Kxdo8mVKxA80dh1ae9Le3M9G2OerACeB8qchMEhMPQQlDJP0N1K0hH02UbSDQqbRramSunCl9wU4nEqjp+hqamphIeHU7lyZYuZHvMiWZ9M8NJg4DG+TwnxAAaDgfj4eLMJQEThdr/3oIfJFQUHBxMUFMTcuXMB499ExYoVGTJkyH0npABj47Vhw4YxbNiw+9ZLTEykYsWKTJw4kaFDh+YqLvlrFEIIIYTIi+xdZv/IHF+ph/EuMS2drWeNEzJ0eVK6zGZpm3l/IwASSxuTnPcoVcKeFv7GsZXWHLEcF08IIYQQwpYK6zwPkrwTQgghhMgtXdLdLrNln4Otmeu7G+/CTkWjSzdQ2asENX1cbRKizXgB9TOXL7WEY7+BlQ4e3QPLAbDm8PUHDq0ihHhyONs5c6zvMY71PSat7gqZLl264OLiYvU2efJkW4cnRL7q3bs3M2bMYPz48QQGBnL48GGLeR6yTyqTNc9DgwYNiIyMZMaMGTRo0IDXX3/dVCdrnocaNWrw/PPP4+npmed5Hh5qzDshhBBCiCfS+Y2gT4aSlWB/HcgA6gBVjcV/HzPORPZUXZ88zXpYkBITE3H2eEz/GLcDjgCX20DMSog+AT51zKp0DPDB0e4YF28mceJ6PHXKuz+eWIQQQuSLBQsWkJJifZbwUqVKWV0vRFFWGOd5kOSdEEIIIURuZe8yOzczOZc5EV9SWjqbz9wAoEudwttltmHDhlwLv/Z4dt4OmAVcCzU+Pv6bRfLOxUFL+1rerD0ayR+HIyR5J4QQhVz2WTqFELYh3WaFEEIIIXJDnwJn/zEul+8JmYv0Mt5tPnODtHQDFUs5U7vcg2c0K5ZaARogygfuVDCOe2et62z9zK6zR66TYZCus0IIIYQQ9yMt74QQQgghcuPCJtAlYnArh35vLRz0YKhlILV6KujhzyPG1mydanuRkm69e1FBSE9PR6foSElPQY8egJRsk1o2b92cZH3y4zm4Ezg0dkCzV4NytSMq90Vw7T/wDTKr1rpGadwctUTHp7Ev/BYhVT0fTzxCiAIjY1gKIWzhSXnvkeSdEEIIIURuZHaZ/ZkEfOfspg1tmF99Pl8v/RrFYEfi2XGAPUuvjmb50gjbxgp8/OvHdx986GFaPNn2JMFLgx/bcd8p/Q6DGEREeHMq1FlknLjinuSdg1ZDlzplWb7/KmuOXJfknRBFmEajAYwzLjo5Odk4GiHEkyY52fiDpJ2d3QNqFm2SvBNCCCGEeJD0NDizHoAdKm++Ot4cgH+D/jUWJ9YAxR6V3S3UjrZP3NnSvoB9DPprECUutgQFOLEKQieDxvxrZ/fAcizff5V1xyKZ1K029loZzUWIokir1eLs7ExMTAx2dnao1XIti6LLYDCg0+lITU2Vv+VCTlEUkpOTuXHjBiVLljT9kFBcSfJOCCGEEOJBLm6FtDsYXLyZ474Tuww7DLUMLB29FIBRv55gXcQN+gXVZ3TnvTYNNT09nX/++YfQ0FC0WuNXvZTa1WmT2fpuy/NbcNI+xtYxKaB8qeAR54OS2BiVaj9c2g5V25pVC67iSRlXB24kpLHtbAwdArwfX0xCiMdGpVJRtmxZwsPDuXz5sq3DEeKRKIpCSkoKTk5OhXbWeGGuZMmS+Pj42DqMx06Sd0IIIYQQD5LZZVYd0B2Hrx2Ny8+rcbZzJlWfwdYzsQB0q++Ls52zzcIE0KPHXmWPk9bpbhcS/d1yJ63T443RDmgJbARV/Nvg2t/Ydfae5J1GreLpeuVYuDOcNUeuS/JOiCLM3t4ef39/dDqdrUMR4pHo9Xq2bdtGq1atin03zOLAzs6u2Le4yyLJOyGEEEKI+8nQw+m/jMsVnrOYZXbr2RiSdBmUc3ck0LekLSLMkzfffJMfvv/h8R6kM7ARONcGygOn/oSnZ4LWwaxa90Bj8m7DyWiS0tIp4SBfTYUoqtRqNY6OjrYOQ4hHotFoSE9Px9HRUZJ3olCRTtxCCCGEEPcTvg1S46BEaTgYbGzFFgDUNhb/fSwSgC51yxaJLjabNm16/AcJzbzf5wGOfpB2B85tsKhWr4I7fp7OpOgz2Hgq+vHHJYQQQghRBEnyTgghhBDifjK7zFLrGfg186tTZqu7tPQMNp66AcBTdYv/eCu5Vhtji7sUFSjvGtcd/82imkqloltgeQDWHL5ecPEJIYQQQhQhkrwTQgghhMhJRvrdLrNl/gf/Zq5/yXi3/exNEtPS8XFzpIGvh01CzKs9e/Y8/oOouNv67tLTxvsz6yEt0aJqt/rlAGP349tJMl6WEEIIIcS9JHknhBBCCJGTyzshORacSsGuppABBAHVjcXrjhu7zHau44NaXfi7zAKUKlWqYA6UlbzbWRpKVYX0FDizzqJatTIu1C7nRrpBMT2fQgghhBDiLkneCSGEEELkxNRl9mlYmjmb2SvGu7T0DDacNI7T9lTdsjYIrpDrgPGb5gkVePc3rju2wmrV7oHG1nd/SNdZIYQQQggLkrwTQgghhLDGkGGcJRXA8UX4D9AAvY2rdp2PJSE1nTKuDjSuVDS6zBaoUhhbKQJEZg4SeGETJN+yqPp0PWPy7r9Lt7gel1Iw8QkhhBBCFBGSvBNCCCGEsObKHki6AY4lYVuwcV0oUMa4uO5Y0esyC7B+/fqCO1hW19ldPuBTFwzpcHK1RbVyJZ0IqlwKRYG/jkrrOyGEEEKI7CR5J4QQQghhzdFlxvsaXS26zCak6vnnRBQAXeoUrS6zQ4cOLbiDZSXvNgA1M1vfHfvdalXpOiuEEEIIYZ0k74QQQggh7nXrIhxealxWBkM44AJ0N65auOMS8anpVPEqQVDlApoAoihqAngAcYDuBeO6yzsh3jJB91SdsmjVKk5cj+f8DctZaYUQQgghnlSSvBNCCCGEuNeWz41dPKu2h411jeueA5zhdpKO77ZfBGBEp+poilCXWYCxY8cW3MG0QMfM5W3eUDEEUOD4SouqHiXsaVW9NABrjkjrOyGEEEKILJK8E0IIIYTI7sYpOPqrcbnZOMjsPcvLxrv5Wy+QmJZOQFk3nipiXWYB+vfvX7AHfCbzfg1Qp6dx+QGzzq45HIGiKI8/NiGEEEKIIkCSd0IIIYQQ2W3+DFCg5tOwrwHcBnyB9hAdn8riXZcAGB1ao0hNVGEzT2GcpfcYUKInqDQQeRhiL1hU7VDLG0c7NZdikzkWcaeAAxVCCCGEKJwkeSeEEEIIkSXiIJz6E1BBu49gQeb61wANzN10jrR0A40qedCmRmkbBlqElAJaZi6HlYIqbYzLx36zqFrCQUvHAB9AJq4QQgghhMgiyTshhBBCiCybPjXe13seEmrBJkAF9Icrscks23cVMLa6U6mk1V2udcu8XwPU/Z9x+fhvYKVrbPf6xq6zfx65ToZBus4KIYQQQkjyTgghhBAC4PIuuBAGai20eR8WZq7vBFSC2WFnSTcotPT3omkVT1tG+kjq1KlT8AfNSt5tBXyeBo0D3DwLUccsqraqXhp3JztuJKSxNzy2QMMUQgghhCiMJHknhBBCCKEoEPaxcbnBq+BWBRZllr0OZ6MTWHUoAjC2uivKdDpdwR+0KhAApANb3KB6qHH9ccuus/ZaNU/VNXadXSNdZ4UQQgghJHknhBBCCMH5MLiy29girNVoWAdEAqWBbjDz37MoCnSu7UO9CiVtG+sjCggIsM2BrXadXQkGg2XV+uUBWHcskrT0jIKJTwghhBCikHqo5N28efPw8/PD0dGR4OBg9u3bl2PdEydO0LNnT/z8/FCpVMyePfuR9ymEEEIIkW8UBTZ9Ylxu8jq4l787UUVfOBIdx/oTUahUMLJTdZuFmV9Wr15tmwNnJe/WAX6dwN4V7lyFq3stqgZVLoW3mwPxqelsPRNToGEKIYQQQhQ2eU7eLV++nBEjRjBhwgQOHjxI/fr1CQ0N5caNG1brJycnU6VKFT7//HN8fHzyZZ9CCCGEEPnm1J8QeRjsXaDlCIgA1maWDYAZ/54B4NkG5fH3drVVlEVfEFAGuAPsdoJaTxvXW+k6q1GreKaeceKKNUek66wQQgghnmx5Tt7NnDmTgQMH0r9/fwICApg/fz7Ozs4sXLjQav0mTZowffp0XnjhBRwcHPJln0IIIYQQ+cKQcXeG2aaDoYQXzAcMQCvYbRfL9nM3sdOoGN6h6Le6sykNkJmv4w+gTmbX2ROrISPdonr3QGPX2Y2noklMsywXQgghhHhSaPNSWafTceDAAcaOHWtap1ar6dChA7t3736oAB5mn2lpaaSlpZkeJyQkAJCeno5er3+oOEThkvU6yuspROEj16coTlTHfkV78wyKozvpTd6EBD3ab7SoUKEfrGf6P6cBeL5RBXxc7YrE3721a1TJVp6eno4e25yH6mkV2oValN8V0j9vhtbZE1XyTdLPhaFUbWdWt0YZJ/w8nbkUm8z6oxF0Dyxnk5iFyE/yGSpE4SbXaPGSnl58fvzLU/Lu5s2bZGRk4O3tbbbe29ub06dPP1QAD7PPKVOmMGnSJIv1YWFheHl5PVQconDasGGDrUMQQuRArk9R1KkM6bQ/NREtcMqjE+c27cR3sy8NYxqS4pnC7KSNHLyixk6tUCMjnHXrwm0dcp5kv0ZbZvvR89VXX+W1V1+zRUioM9R0du6M3XU79sw+QAW3QConh3H93zkcqpRqUb+mk5pLqFkYdhS764cLPmAhHhP5DBWicJNrtHi4efPmQ203b948pk+fTlRUFPXr12fu3LkEBQVZrXvixAnGjx/PgQMHuHz5MrNmzWLYsGGPtE9r8pS8KyzGjh3LiBEjTI8jIiIICAigffv2lC9f3oaRifyi1+vZsGEDHTt2xM7OztbhCCGyketTFBfqA4vQHLmBUqIM/q/MwN+uBJqPNQDYvWvH1gR3IIG+zSrzYmjR6TJr7RrVZRu65MCBA/z2i+U4cwVF85wGfoJmEc1QXgB+CMM38TBlO7YFOyezujVjklg/Zydn4jUEt26HZwl72wQtRD6Rz1AhCje5RouXiIiIPG+TNSfD/PnzCQ4OZvbs2YSGhnLmzBnKlCljUT9rnodevXoxfPjwfNmnNXlK3nl5eaHRaIiOjjZbHx0dneNkFI9jnw4ODmbj58XHxwOg1WrlAitm7Ozs5DUVopCS61MUafoU2DkTAFXLkdiVKAm7gYOAA4S1vMnp9Qm4OGh5u61/kfxbz36N3tv5x6bn8yLwE2hWamB2c3CrgCr+GnaXNkNAd7OqNcqVpG55d45F3GHD6Zu82rSSbWIWIp/JZ6gQhZtco8WDVpv39mrZ52QAmD9/PmvXrmXhwoW8//77FvWbNGlCkyZNAKyWP8w+rcnThBX29vY0atSIsLAw0zqDwUBYWBghISF52dVj3acQQgghxH399z0kRIJbBWhs/CLFXOOd4QWFqfuNQ3cMbFkFj2LW2mvt2rUPrvQ4dQA8gChgpxrqPGdcf8x6a8Bu9Y1j3f15WGadFUIIIUTeJSQkEB8fb7pln0Mhu6w5GTp06GBal1/zPDzqPvM82+yIESP47rvvWLJkCadOnWLw4MEkJSWZMoh9+vQxm3xCp9Nx+PBhDh8+jE6nIyIigsOHD3P+/Plc71MIIYQQIt+kJcAOY6s72rwHWge4DqwwrtrYPpqLN5MoVcKeAS0r2yzMx8Xf39+2AdgDz2YuLwfqZs46e/YfSI23qP50/bKoVLDv0i0i4lIKKkohhBBCFBMBAQG4u7ubblOmTLFa735zMkRFRT3UsfNrn3luQ9i7d29iYmIYP348UVFRBAYGsn79elMgV65cQa2+mxO8fv06DRo0MD2eMWMGM2bMoHXr1mzZsiVX+xRCCCGEyDd7vobkWChVFeq/ZFw3D0gHQzOFiddOAPBWm6q4OBTJ4YELv+eBhcDvwJx64OkPsefg9FoIfNGsall3J4Irl2LPxVv8eeQ6b7auaouIhRBCCFFEnTx50mx+hOzDsBUVD/WNdMiQIQwZMsRqWVZCLoufnx+KojzSPoUQQggh8kXyLdiV2T+27Qeg0UI8xuQdsLnrDa7fScXHzZFXZHy1x6cd4AnEAFtVULcXbJkMx3+zSN4BdKtfnj0Xb/HHYUneCSGEECJvXF1dcXNze2C9wjLPgzV57jYrhBBCCFFk7ZoDafHgXQdqZ461Nh+4A4YaCu+nHwVgaHt/HO00tovzMdq3b5+tQwA7IPPp51fudp29sBmSblpU71LHBzuNilOR8ZyLTiioKIUQQgjxBCnM8zxI8k4IIYQQT4aEaNgz37jc9kNQqyEVmGVctbn7DWKSdVTydKZX4wo2C/Nxe+WVV2wdgtHzmfe/Ay5VoWwgKBlwYpVFVY8S9rSuXhqANUdk4gohhBBCPB6FdZ4HGchFCCGEEE+G7V9AegqUbww1uhjX/QBEgaG8wij7I6CHER2rY6eR3zcfu7ZAOYyThfyJsfVd5GE4/jsEDbSo/kz9cmw8dYM/Dl9nRMfqqFSqgo1XCCGEEMVeYZ3nQZJ3QgghhCj+4q7AgUXG5fbjQKWCDGCacdXmrje4rddT08eVZ+qVs1mYBeGNN96wdQhGGqAP8DmwGPj5Ofh3HFzZDXFXoaSvWfWOAd442Wm4ciuZI9fuEOhbssBDFkIIIUTxVxjneZCflYUQQghR/G2dChk68GsJVdoY1/0OXACDh8KYksax7kZ0rI5aXbxbdI0cOdLWIdyV1VvkbyC5PFRqZnx8YqVFVWd7LZ1qG3+h/uNwRMHEJ4QQQghRCEjyTgghhBDF283zcPgX43L78cZ7A/CpcXFbaAyxKh31fUvSMSD33RdEPqgONMP4evzI3Ykrjv1mtXq3+sZWkX8djSTD8OBfuYUQQgghigNJ3gkhhBCieNsy2TgRQvXO4BtkXLccOAYGN4VRZY8AMCa0hoyjZgv9Mu8XAbV6gFoLUUfh5jmLqi39S1PS2Y6YhDT2XIwtwCCFEEIIIWxHkndCCCGEKL6ijhknQADjDLMA6cAE4+K/T0Vx015Hs6qeNK/mZZMQn3i9ASfgNHCsFFRtZ1xvpfWdvVbNU3XLAtJ1VgghhBBPDkneCSGEEKL42vSZ8b72c1C2nnH5B+AcZHgqjM5sdTcqtIZt4rOBli1b2joEc25Az8zlRUCdrK6zK8DKANBZXWf/Ph5FWnpGgYQohBBCCGFLkrwTQgghRPF09T84+zeo1ND2A+O6NGCScfGP0AgS7DPoUMubhhU9bBZmQYuOjrZ1CJayJq5YBlR8CrSOcOsCRB62qBrkVwofN0cSUtPZciamIKMUQgghhLAJSd4JIYQQonja9LHxvv5L4OVvXF4AXAG9t4GxPsdQqWBkp+o2C9EWvL0L4aQcbQA/IB5Y7WocnxCsdp1Vq1V0CzS2vltz+HoBBSiEEEIIYTuSvBNCCCFE8XNxK4RvA7UdtHnPuC4R0wyzv3S8QpqdgW71y1GrrJvNwrSF7du32zoES2pgcObyHKBOL+PyiVVgMFhUz+o6u/FUNAmp+gIJUQghhBDCViR5J4QQQojiRVFg0yfG5cb9oWRF4/IUIApSK2Xwic9JNGoVwzs8Wa3uCrUBgCNwGLjRCRzcIT4Cruy2qFq7nBtVSpcgLd3AvycKYTdgIYQQQoh8JMk7IYQQQhQvZ/+Ba/+B1glajjKuuwR8YVyc2+Uceo3C84198fMqYasoxb08gZczl7+2h1rPGJePW3adValUdK9fHoA1R6TrrBBCCCGKN0neCSGEEKL4MBjutroLfgNcM8d3GwOkQVywjnluF7DXqhnavprNwhQ5eCfz/neg9IvG5ROrIcOya2zWuHc7zt/kZmJagYQnhBBCCGELkrwTQgghRPFxchVEHwcHN2j+rnHddmAFKGqFcW2OgwpebVqJsu5ONg3VVr744gtbh5Cz+kBLIANY1wxKlIaUW3Bhs0XVyl4lqFfBnQyDwrpjkQUdqRBCCCFEgZHknRBCCCGKh4x02DzZuBwyBJxLgQEYZlx17blk/iSSEvYa3mpT1VZR2tw333xj6xDub2jm/Xdq8M+cuMJK11m4O3GFzDorhBBCiOJMkndCCCGEKB6O/AKx58HZE0LeMq77BjgIipvC8DpHABjQojKeLg62i1PcXw+gAhADXBxoXHd6LeiSLao+U78cKhXsv3ybq7csy4UQQgghigNJ3gkhhBCi6EtPg61TjcsthoODK0QA7xtXHRl0h/0pt3F3suP1VlVsFmZh8NNPP9k6hPvTAkMyl7+rDG6VQJcI5/6xqOrt5kjTyp4A/HlUWt8JIYQQoniS5J0QQgghir4DS+DOVXAtC01eN64bCsSDoYnC0FIHARjcpipujna2i7MQCAoKsnUIDzYYKAmcVkHcR8Z1x6x3ne0eKF1nhRBCCFG8SfJOCCGEEEWbLgm2TTcutxoNdk6wGlgJaGHtO9e5cieF0q4O9A3xs12cIvfcuDv23cpnQAHO/QspcRZVu9Qpi51GxemoBM5EJRRgkEIIIYQQBUOSd0IIIYQo2vZ9C0k3oGQlaPAqxGPqdqkfbuDjK6cAGNquGk72GtvFKfJmKOACnHCC6AGQoYPTf1lUc3e2o3X1MgCsORJRsDEKIYQQQhQASd4JIYQQouhKvQM7ZhuX24wFrT2MwjjeXVVY3OESMQlpVPBwoneTijYMtPA4d+6crUPIHU8gc94Rto0ytr57UNfZI9dRFKVAwhNCCCGEKCiSvBNCCCFE0bXrK0iNA68aUO95WAN8B6ggaV468/acB2B4h+rYa+VrD0DXrl1tHULujQAcgVPlILwNhG+FxBsW1TrU8sbZXsPVWykcuhpXwEEKIYQQQjxe8i1WCCGEEEVT0k3Y83/G5XYfQowGMueqYCR8o75IXLKeamVc6NGgvM3CFI/AGxiUubzrMzAY4MRqi2pO9ho6BXgDMnGFEEIIIYofSd4JIYQQomjaMQt0iVC2PtTsBgOAGKAexL6fxvfbLwIwsmN1NGqVTUMtTHr16mXrEPJmDOAEXKgDp5+G4zl1nTUmaP86ep30DEPBxSeEEEII8ZhJ8k4IIYQQRU/8dfhvgXG53Xj4VgVrAQfgZ/h69wWSdBnULe9O5zo+toy00Pnss89sHULelMfYfRZg4yS4dABuX7ao1sLfCw9nO24m6th9MbZAQxRCCCGEeJwkeSeEEEKIomfbdEhPhYohcKc9DMtc/zlE+qbwwx5jcmdUaA1UKml1V+SNAUoDt6rBgX5w/HeLKnYaNU/VLQvAH9J1VgghhBDFiCTvhBBCCFG0nNsAB38wLjeYBP9TQRrQDVIHZ/De78fQpRsIqlyKVv5eNg1V5BM3YFLm8tax8N96q9Wyus7+czyKVH1GwcQmhBBCCPGYPVTybt68efj5+eHo6EhwcDD79u27b/0VK1ZQs2ZNHB0dqVu3LuvWrTMr79evHyqVyuzWuXPnhwlNCCGEEMXZsd/glxfAkA61noOxwXAZqAp35uvps2gf287G4KBV8+FTtaTVXXHyOlA9A5K9YFUo3DhtUaVxJQ/KuTuSkJbOljOWs9IKIYQQQhRFeU7eLV++nBEjRjBhwgQOHjxI/fr1CQ0N5cYN61+Qdu3axYsvvsiAAQM4dOgQPXr0oEePHhw/ftysXufOnYmMjDTdfvnll4c7IyGEEEIUT/u+g99fNybu6vaC4wvgH8AJYn9M44Vf97Dv0i1cHbX8OCCY+r4lbR1xodSjRw9bh/Bw7IBpGuPynrfgzz8tqqjVKp6pXw6ApfuuYjAoBRigEEIIIcTjkefk3cyZMxk4cCD9+/cnICCA+fPn4+zszMKFC63W//LLL+ncuTOjR4+mVq1afPLJJzRs2JCvvvrKrJ6DgwM+Pj6mm4eHx8OdkRBCCCGKF0WBLVNh3ShAgaBBoPsWPjUmcm5+kcZzO3ZxKjIeLxcHlg8KIahyKdvGXIidPHnS1iE8vG5ASAykO8HkxhD2qfHvI5vnGlZArYJtZ2N4Z9kh0tKl+6wQQgghijZtXirrdDoOHDjA2LFjTevUajUdOnRg9+7dVrfZvXs3I0aMMFsXGhrK6tWrzdZt2bKFMmXK4OHhQbt27fj000/x9PS0us+0tDTS0tJMjxMSEgBIT09Hr9fn5ZREIZX1OsrrKUThI9enKFCKAfWGj9D89y0AGS3HoGjGoHlOhQq4+VoqXWK3E5Ooo4KHE4v7NaJSKacn+u/T2jWaPb1lb29ftJ+fBe5oG+hRXWwL85ZiSBhCRpcZoDZ+ra3i6ciM/9XlvZXHWXs0ktiEVP7vpUBcHe1sHLgQ8hkqRGEn12jxkp6e/lDbzZs3j+nTpxMVFUX9+vWZO3cuQUFBOdZfsWIF48aN49KlS/j7+zN16lSeeuopU3m/fv1YsmSJ2TahoaGsX299DF9r8pS8u3nzJhkZGXh7e5ut9/b25vRpy3FHAKKioqzWj4qKMj3u3Lkzzz33HJUrV+bChQt88MEHdOnShd27d6PRaCz2OWXKFCZNmmSxPiwsDC8vGZi6ONmwYYOtQxBC5ECuT/G4qZR0GlxegO/tXQAcrfAKN84F03KMAW2aivMNI+le5gBJiSrKOSsMqpLAiT1bOGHjuAuL7Ndoy2w/ek6dOtVi/OGixr+XPwE/B6D8MwV1tcZEh59kv99bGNT2AGiA16urWHhGzZ7w2zwzaxNv1MrA3d62cQuRRT5DhSjc5BotHm7evJnnbbKGips/fz7BwcHMnj2b0NBQzpw5Q5kyZSzqZw0VN2XKFJ5++mmWLl1Kjx49OHjwIHXq1DHV69y5M4sWLTI9dnBwyFNceUrePS4vvPCCablu3brUq1ePqlWrsmXLFtq3b29Rf+zYsWat+SIiIggICKB9+/aUL1++QGIWj5der2fDhg107NgROzv5pVyIwkSuT1Eg9MloVg5AfXsXilpLxjNzqeXTi7qttKgSVNypraNXh2MkKSoaVyrJNy83wM1J/h7B+jWqy/YFMTQ0FCetk63Cyx8dQDmkoDrphbJxMmW7DabrrQVk9PoJnEoC8BTQKSKe1388SESSjm8vuLCwbyMqe5WwaejiySafoUIUbnKNFi8RERF53ib7UHEA8+fPZ+3atSxcuJD333/fon72oeIAPvnkEzZs2MBXX33F/PnzTfWyhop7WHlK3nl5eaHRaIiOjjZbHx0dnWMQPj4+eaoPUKVKFby8vDh//rzV5J2Dg4NZljI+Ph4ArVYrF1gxY2dnJ6+pEIWUXJ/isUmJg2UvwJXdoHVE9fwPaMuEQjvgPCT7pNOp3TZuq/S0q1mGeS81xMnesqX+ky77NZq980+x+L5kBywAmoPq0EsQuBY1f6H+qRu88ju4GSetaODnycq3mtFn4T4uxybzwoL/WNSviUxmImxOPkOFKNzkGi0etNq8tVcrLEPFWZOnCSvs7e1p1KgRYWFhpnUGg4GwsDBCQkKsbhMSEmJWH4xNUHOqD3Dt2jViY2MpW7ZsXsITQgghRFGXEA2LnzYm7hzc4dXVUC7U2IzqEKSUzOCZp3cQ7ZzGsw3K882rjSRx96QKAd7OXF67GKgFN07C950g5qypWiXPEvz2ZjPqlHfjVpKOF77dw5YzN2wQsBBCCCFsISEhgfj4eNMt+xwK2d1vqLjsQ79ll9uh4n744QfCwsKYOnUqW7dupUuXLmRk5H5SrTzPNjtixAi+++47lixZwqlTpxg8eDBJSUmmJoV9+vQxy1K+++67rF+/ni+++ILTp08zceJE9u/fz5AhQwBITExk9OjR7Nmzh0uXLhEWFkb37t2pVq0aoaGheQ1PCCGEEEXV7UuwMBSij0GJMtB/LZQJMc4wuhtSXDJ49tmdXPBM4rXmlfmiV33sNHn+KvPEyz7eSpE3DQgAbtjB7k1QqhrcuWr8O7p2wFSttKsDywaF0KKaFyn6DF5fsp+VB6/ZLGwhhBBCFJyAgADc3d1NtylTphTo8V944QW6detG3bp16dGjB3/99Rf//fcfW7ZsyfU+8vyNt3fv3syYMYPx48cTGBjI4cOHWb9+vSnTeOXKFSIjI031mzVrxtKlS/n222+pX78+v/32G6tXrzYN3KfRaDh69CjdunWjevXqDBgwgEaNGrF9+/Y8D+AnhBBCiCIq+iR8Hwq3w6FkRXhtPbjUhWeAzZDqlEHv53ZzukwCo0NrMO7pWqjVKltHXSQV9BfWx8oJWAY4AP86g24rlGsIKbdgydNwbqOpqouDloX9mtCtfjnSDQojfj3CN1svoChKTnsXQgghRDFw8uRJ7ty5Y7plb3CWnS2Gisuth5qwYsiQIaaWc/eyljns1asXvXr1slrfycmJf/7552HCEEIIIURxcHUf/NwLUuOgTAC8shIyykJHYA+kOmbw6rN7OVbuDp/1qMPLwZVsHbEoTOoCM4B3gI9cYPtacHoFLoTBL72h+/9B/d4A2GvVzO4dSGlXB77fEc6Uv09zIyGND5+SZLAQQghRXLm6uuLm5vbAetmHiuvRowdwd6i4nHJgWUPFDRs2zLTucQwVJ31NhBBCCGE75zfCD92NibsKQdB/HaSUhTbAHkgooad3r90c9ovjqxcbSuIuH8yZM8fWIeS/t4GuQBrQ2xk6LoO6z4MhHVYNgl1fmaqq/7+9O4+Tojr3P/6ppbtnH7ZhhlVUNhEEEUGICxEiKvHGqKhI3OLVaKJxifFGf7hEk2hMTHAn8cYtiddd4nXhihASjUhkMygEARFkGbZxYJill6rz+6Oqe2ZgQNbpcfi+X55XVdfGqXZOd9XTzzllW9z6zX7ccnpfAP7w7gquf34BiZSflaqLiIhIy9FSh4rbq8w7ERERkX320Uvw8vfAT0LP0XDu07AiPwjCLIeKogTnnzOL1V1qeeLCoRzfq0O2a9wqnHrqqdmuwv5nAU8BQ4FPgfFRmPo7yC+B9x+Gt/4fbFsP37gTrCDD7ooTD6dDQYybXvwXf1mwlorqBI9+5xgKYro8FhEROVidd955bNy4kdtuu43y8nIGDRq0w1Bxtl2fB5ceKm7ixInccsst9OrVq8mh4p566ikqKyvp3Lkzp5xyCnfdddceDRWnqxMRERFpfh/8N7x+I2Cg/9lw5mR4JwpnAZWwtl0t4895n61dkjxz6XEM6tYmu/WVlq898CrBU2hnAtfZ8MjPoaAjvH07vPcAVG+E/3gQnAgAZw3uSrv8KN//8zzeWbqJ8b9/n8cvOZaSQo27LCIicrBqiUPFqdusiIiINB9j4G+/gtd/BBgYchmc9Rg8HYVTgEpY2L2SMy54l0QPnxeuHK7Aney+I4FnCDLxJgMPW3D8dXDmo2A58OH/wLMXQKI6s8vIPh35n8uPo11+lIVrtnDO5PdYubm66eOLiIiIZIGCdyIiItI8fB/+7xb468+C1yfeBKPug+87cBmQgjcHrOOccbMo7hHhxatG0LNjYVar3BpVVFRkuwoH1jeB9AN1f0jwNNpBF8D4/wE3F5a+FYyzWFP/Pgzs1oaXrhpBt3a5rNxcw9mPvsdHa7ZkofIiIiIiO1LwTkRERA48Lwl/+T68/0jw+tR74LD/BydY8DswluGhk5Zy1Wnz6NujkBevHEGXNrnZrXMrddxxx2W7CgfeTcBVgAEuBP4X6D0GLn4VctrA6g/g8TFQ+Xlml0M75PPSVSPo16mITdsSnPe7Wby7dFNWqi8iIiLSkIJ3IiIicmAla+G5C4Mui5YD3/4drLkKBgNzIdHG57Lz5vDr4z7ha73a8+ewC6PIXrOAh4DvAClgHDAD6DYUvvt/UNQFNn0CfzgFNizO7NaxMIfnvnccIw5vT3XC49In/8lfFqzJyimIiIiIpCl4JyIiIgdO3Rb409nwyZvg5sDY5+A358M5wBew6cg4J4//KzMO2cBp/ct4/JJj9bTPA+zkk0/OdhWahw08AZwJxIH/AKYBHfvCZW9Bhz5QtTbIwFv1fma3wpwIT1x6LGOP6kTSM1z77AL++51Ps3EGIiIiIoCCdyIiInKgbNsAT46Flf+AWBEcNh3O+QY8DcY2zJlQwfDTprO6qI7xQ7vz0AWDiblOtmvd6k2ePDnbVWg+LsGYd2OAamAs8CJQ3BW+OxW6Dg0CzE9/C5a8mdkt5jo8eP7RXDKiBwA/e30xd7+xGN83zX4KIiIiIgreiYiIyP73xcogo6l8IdAbFnwIE/rDSjCHGZ68+zPO6TqLpGO4+us9+cW3++PYVrZrLa1RDPgLQdfZJHAe8BiQ1w4u+gv0GgOpOnh2Asz/U2Y327a4/Yx+3HRqHwB+9/dPufGFD0l6fvOfg4iIiBzUFLwTERGR/WvD4iBwt3kFLLkGHnwfnm8HFnhXGW65bSE/rVgEwMSxR3DjmD5YlgJ3cgDFgP8BrgD8cHoL4OTB+X+GQRPAePCXH8A794EJMuwsy+L7I3vyq3OOwrEtXp6/hsuemkN1PJW1UxEREZGDj4J3IiIisn/4XtD18InT4OPu8OR78OzPoMKB/rD+zTquGDqH/1n8OY5tcd+4gfznCYdlu9ZysHCAycD/C1/fDXwL2BaBbz0MX7suWD79Tph6M/j1GXbjhnTjvy8aQm7E4e+fbOSCx95n87Z4s1ZfREREDl4K3omIiMi+qVgBM34GkwbAgxPhj7+BJ96CVf0whYaPfriFC78/m2F/nc70f28g5tr87jvHcPYxXbNd84PSZZddlu0qZI8F/Az4E5ADvA4MBRZb8I2fwpi7g+1mPwovXw6pRGbXr/ftyDOXD6NtXoQPV2/hnMmz+LyiptlPQURERA4+epybiIiI7LlkLSz+X5j3NHz2Dmw+DP5+Kyw8F4yDsQxzRn3Bjwd+yGduDawEy4Lje3bg+m/0ZnD3ttk+g4PWO++8k+0qZN8EoC/Bk2g/AY4B7gOu+j7kl8CUK+GjF6FyJQy6AHp+A9p04+jubXnxqhFc9Id/smJTNd9+5D0uPO4QRvYpYUCXYmyN2ygiIiIHgIJ3IiIisnuMgbXzYf4fYeFLEN8CFYfCO4/Av84HP3hS7KwjN3PXsYtYVLoVgK5tcxl3TDfOPqYLXdvmZfMMROodA8wBLgLeAn4AvAH8YRxc0A6euxBWfxAUgJIjoNc3OLzXN3j5e0O4+KkF/Lu8it++/Qm/ffsT2udHObF3CSP7lHBCrxLa5UezdWYiIiLSyih4JyIiIrtWvRkWPg/z/ggbPgYDfH4czP0R5qPRWH4wCseMwzfw2699wsJOW4i5Nmf278y5Q7px3GHtlZHUgsybNy/bVWg5SoE3gQeB/yLoRtsP+NUouPJd+PglWDotCOBtXByU9x6gNFrIaz1OZF63Y3l56xG89pnF5uoEr8xfwyvz12BZMLBrG0b2KWFkn44cpaw8ERER2QcK3omIiMiOfA+W/xXmPw3/fgP8JHgRWHwBLLgJlh8KBEOIzTx0A5OOX8qCzpUM7FrMz4b054yBnSnOjWT3HKRJBQUF2a5Cy2ID1wInAxcCHwKXAU8eBpN/DCf+GGoqYPmMIJC37G2o2YT7yesM5XWGAneXHsnakuOZ6R/NM2tL+Xh9LQs+r2TB55VMensp7fKjnNirAyP7dOTE3srKExERkT2j4J2IiIjUq/gU5v8ZFjwDVWuDZRt7w9LrMXPPxKoIur3GHY+Xj1zDE0NWsPGQON8+uiv3HDuAvmVFWay8yD4YAHwA3A/cDrwDDASuAG5rBwPOCYrvw7r5sPRtWPoWrJmLteFjumz4mAnAhFgRtQNOZGHuUF7e2pfXV0BFdYIpC9YyZcFaLAuO6tqGkWEX26O6tsFRVp6IiIjsgoJ3IiIiB7tEDSx+Feb/KXj4BEC8ED65ErPoKqx/9wCCLLsN+XU8PXglzx69igGDirl+SG9GHVFK1NUD7KUViAA3AucCPwT+AjwCPB0uvx4osqHLMUEZ+V9Bt/Ll0+uz8moryF36GkN5LcjKKxvA2o4n8FdvIM+sKWXR+ho+/LySDz+v5P7pS2mbF8mMlXdirxLaF8SydfYiIiLSQil4JyIicjAyBtbOC8ax++gliG8NAnZLzoWV/4n5aAhWwsECUpbPXw/fwPNHrebTY7dx1rCuvDb4BMqKc7J9FrIXXn31Vc4/+/xsV6Nl6w5MAWYCNxFk5N0BTAKuIehm2z7cNr89HHVuUHwveKjL0reCYN7aeVjrF9Jl/UK+A3wnp5jao07iX7lDeWlLX95c4fNFTZK/LFjLX9JZeV2KOalPR0b2KWGgsvJEREQEBe9EREQOLtWb4F/PBVl2GxZBdQdYOhaWn4tZciJWMrg0sICl7at4YcBq3hy0jmEj2nP5kMM4tkdbLEvBhK+yG2+8UcG73TUSmA28QNCV9t/AXcBvgO8SPKG2T4PtbQe6DgnK12+BbRvDrLy3YNl0qKsk95NXGcarDAPu6TyIdR2OZ3a8G/9XXsDMDfl8uHoLH67ewgNhVt4JvUoYfnh7Di8poEeHPEoKYmqDIiIiBxkF70RERFor34ctq2DD4iBQt3ouLJkGa/rD0v/ALHsYa83gzOYWsKzdNl7vu443+q6j4BiXc4/typtHnUhBTJcMcpCyCLrRngO8AvwcmE/whNoHgW8AVwGnA9v3eC0ogYHnB8X3YM3cMCvvLVj3Ifa6BXRZt4CzgLMAk2NRnduZlVZnFtS0Z0m8lBULO/Hwvzqx1rTHx6Yg5nJoh/xMOawkmPbokE9Rjh4SIyIi0hrpSlxERKQ12LYRNnwcBOrWh9ON/4Z4Naw/Ej47HlaOh88ehrq2QBCTAFhYuoUZh6/njb7lbO6R4OwhXXj4mMH07KinkrZGt99+e7ar8NVkA2cTRNneBh4C/heYFpa2wHkET6wdTn0Dy+zvQLehQTl5IlStD8bIW/F32LQENi/Him+loHYNR7KGIyEYgy8UJ8Jnfikr/E6sWF/Gp+WdeNfvxB9NJyooBCw6FEQbBPYKMvOHtM8jJ+Ic2PdHREREDhgF70RERL5K6rYGQbkNixoH6mo2BetTMSgfAKuPhZXXYT47HisM1qVVRZO822MTMw7fwNLBVXToFaN3aSE3HdKHE3uXEHH08InWbMKECdmuwlebRZBt9w1gBTAZ+COwLpyfDBxGEMj7D2AoQeBve4WlcPSEoEAwDmX1Rti8rEFZDpuWQsWnxPwkfezV9GH1DofaSj6f+mV8Gu/Eis/LWLGqE6+ZTqwwZdSQg2VB5+LcTJZeOlPvsA75dGmTi6s2LyIi0qIpeCciItISpeKw6ZP6Lq/rw2DdllX12xgLNvWCNadg1hxDYs1xRNb3xfbrv94toDqS4sMelawaUEP1cI/Crzn06lLIHaVHkq/usCJ771Dgl8AvgBnAn4CXgE+Bu8PSERgLnAGMBgp3cizLgoKOQTlkRON1vgeVq4Jg3vbBvS2fU0Q1g+zlDGI5bJdgt960Y7lfxpptHajYVsgXnxaymEJmmQIqTCFVdhF5bUrpUNKRkuJ82uZFaJsXpV1+lLb50WA+L0rb/AgFMVfj7YmIiGSBrthFRESyxUtCzebgIRJfrGiUSWc2L8MyXv22tW1gQz9YP4aa9YNJrR9I7obDiSSDJ75a1A+3taUgybo+tVQPTREd5dD55BxGtO3AiO3/fRHZPxzqs/EeAf4SlqnABuCJsDjAEODrBA/DOB7I343j2w60OzQovUY3XpeshYpPGwf00vM1mym1Kih1KnZ9/Grwt1lUks8XppAKCvnCFLLeFLKEQipMAV9QyFariGSsHSa3PXZBO3IK2lKcnxMG96K0y4/QJgz2pYN/+VFHAT8REZF9pOCdiIjI/uJ7UFMRdH2r2RRMqzdD9UZM9UaSVRvwqjZC9Sac2s1Ek1u229+GLd1gc0+szSNJbO5L7aYjcTcfRv7WksxmeQ12icc8KvokSB5jKDjBpe3ICMU9IhRbGrheJCvygQvCkgDeAV4FXiPIyJsdlnsIrsQHAcMIutcOA3rRdDfbnYnkQumRQdleTUV9MK9qbfC6piL40aBmM6ZmM6Z6M3ZiK7ZlaMc22lnbOJx1O//3PGBbUFLG5gsKqAwDfpWmgC/IYa2JUUOMGnKIWzGI5OPE8rFzCnFj+VhhcWIFOLF83JwCIrkF5Obkkhd1yI065EVd8qJOWNxwmaNu/SIiclBS8E5ERKQpxoCXgPi2BoG4cFqzGW/bBryqTXhVG6B6I07tZiKJSixMk4ezgChAIh8qu0PlcVDZHb+yO8kvemI29yZS0R3Hi2b2iab3CW0tTVLb1yM62KZ4aAR7kEWsp0MnN/cAvhHS2vTu3ZvVK3YcN00OgCgwKiz3AyuBmcBfw7IKmBOWh8N9ioGBQH9gQFj6h8v3VF67oHQ7tsnVVliCLOAKqK0P7NWXIODnVW/C27YJajZj11bgpqpxLZ8StlJibd11PXygNiy7kDAOtWHQryYMAG4kh1oTo5oYteRQR4yUk4NxYkFxY1hODCI5WG4MO5qLG4lhRXKwIznYbg5WNAcnEpZoDm4sFzeaQySWSyziEnVtYpniEHPtcJlD1LVxbGUOiohIdil4JyIiXz2+F4wJl6yFZE2jqZeoIVW3jVRdNcm6alLxoPjxGvxEUKxwWytZg5Wqw/Fqsb06XK8W14sT9WuJmjg2/k6r4LDD0FIZFaaAClPEZopo+7fvE9vQm5zKMgq2lJBf2/gJrjb13V0B/IghcagPvSFyhI1zhAW9gSOhqE2EIpRRJ/KVdQhwcVgMQTAvnYn3T2AusAX4e1ga6g4cSZCZ17NB6QH7/LHgRIIHaBSW7nwTtvvMS8WbCPhVBJ/FiRpIBJ/DidoqknXb8Oq2YRLVkKzBSdbgeLW4Xi1RrwaHYIiAqOURpYZianZ8Wu/2vLAk9u3U48YlQYR4upgI1USoI0IdMWpMjLgVI27lkLBiJOxcUk4OSTuHlJuL7+RiIvlB8DCajxXNw47l40TzcXLycWMFxHLzyIlFyY04RGxYUQWL1m2lKC+H3IgTlKhDxLHUxVhERJq0V8G7hx9+mF/96leUl5czcOBAHnzwQYYOHbrT7V944QVuvfVWPvvsM3r16sUvf/lLTj/99Mx6Ywy33347jz32GJWVlXzta1/j0UcfpVevXntTPRER2VvGBIExPxWWZOa18ZJ4qSSJulqi1WvYtupDLOPje0l8L4WXCtYbL4mfSuAn45hUHaTimFQcUnXBNBm8Tq8jFcfy0iWB7cWx/QS2l8Dx4zgmievHcU2SiEngmiQu3k5PIX2DGdvpFntui8ljkymmgkI2m2IqTCGbKKLCFFHttiWZ0w6T3wGnoCOxwg60KcyjfX6U9gVR+r1cSuG/t7uzbktww92D4Ga+B0GArg/Yh1jkODsLC4rsu0GDBmW7CgJBcKpHWM4LlyWBj4GF25U1BFl6q4A3tzuOQ/1nSVegW1i6Npi25cuDYXvKjUFRp6DsbBN282YjlYBkdRj0q66fTwZBQBI1pOLbSNZWBT/OxGvxEnX4yXQJvlOsVB14CaxUHNuP43hxbD+Ja+K4fgIn/B6xG2RIx6wUMVIUptMCv+x98sMCEN+dkwvUmUiYVRiju4lS80mMDeSQCIOHCVySRPDtKL4TwdhRjJMuMYwTxbej4MTADaaWG83M25FYmGkYzAeZhjHsMOswEssjEo0SdW2ijk3EsTMZh+llOZEg69BWpqGISIuzx8G75557jhtuuIHJkyczbNgwJk2axJgxY1iyZAkdO3bcYfv33nuP8ePHc/fdd/PNb36TZ555hjPPPJN58+bRv39/AO69914eeOABnnrqKQ499FBuvfVWxowZw6JFi8jJydn3sxTZE8YE3UdStUFgwbKDC1QnhrFd4p4hnvSJex4R2yYWCS54XI3BIruSCYolg6CYVz81XiIIfCXjpBK1eIk4XqoOk4zjJ+N4yTq88OYkPTXJOH4mKBYWLw6pRBAEC4NftpfA9hM4fgLHJLD9FLZJYRsPx6Sw8bCNj4OHQwp3F5lmFvU3YqcBfNI8b92XiZsItUSpJUatiQaZEuF83IqRtGNBhoSTi2fn4Lk5+G4uxs3Fd/MgkhtkSkTzsKJ5OLE83Fh+UHLyieUWkJOTQ07EIT/i0CHqZDIlcqJBt6pduhHYSuNg3d50fxPZT55//vlsV0F2JkIwBt6g7ZZ/AXwELAaWbVdqgeVh2Zk8oBPBk2+3LyXbvW5L4/76zSEdhMptu/NN2E9dhtLXeV76+7P+hyTC4B+pOrx4Dcl4kMntx2vw4tvw49X4ydoggzAdXExncYfZhE6qFserI+LXEvXrMv9sjpUkhyRt2bb7AcLU/jjhegnjUEfwPZkOJlYQDZaZYFpLlKQVfm/aMTwnJyhubnAtHAm+P61ILlY0F8vNxY7l4UZyiLkWORGbmGMTjdjkuBaxdFDQsYhGbCJ2OLiEMRiTvuYwGBP+vwkDq8aEAVZjMvPGAj+SjxcpIhUpBCeKyWzf+Fxzow6FOS5FORFirq2MRhH5yrOM2f6jbteGDRvGsccey0MPPQSA7/t069aNa665hp/85Cc7bH/eeedRXV3Na6+9lll23HHHMWjQICZPnowxhs6dO/OjH/2IG2+8EYAtW7ZQWlrKk08+yfnnn/+ldVq9ejXdunVj5Sef0LVLlz05nQMrfaPupepv2P0kJpXE8xJ4ySQpL4nn+aRwSBmHlOWQMi5JbJLGASeC40ZxIhFcJ4Lr2EQcC9e2cR2LiG3hOhaO1cLT7I0fvB/GA98PXhsP46fwPR/PeBgvnPdTJONx3nv/PYYNGYJtWXh+CuP7+L6H8T2M5+F7QQYPqVrwEphkbfiLaxw/URtk9iRrM9k+VqouzOypCzJ6vLogq8dPhFk9CSImTsQkcXYSwPCNRYJ09wqXONEGv5hGSFoRUlaEpBXFsyJ4VpSUHcGzoxg7imdH8Z1ocLFhxzDhr6U4UWzHxXUcbMfFcRxcx8VxHVzHAcvFcmwsy8ZKz9sOtuVg2TbYLrbtYNs22E4w7wRTKyy27eA4NpZJ4fopHJI4fhLbT+GYJPhB8MhLJfCTiWCaSuCn4vipIMDkpxIYL4HxksHFbRh4wkti+QksL4nlJ4P/R8bgG/Cx8A14BnwDJrxizUyt9Ig7FoTz9R9KwTKTWUdmWxO+Tm9dfxSDZaUv+DJ/gOHENFgY7mdoYlnj17bxsEnhhAGvdNDLMV4YCAtKsM5rtN4lhYNHZH9fgTczz1jhmTikgncjnHcI3h0XLzhrfCsIAyasKCkiJO0G07Bt+GFb8J0Yxo6CG4xdlA6UW25QggyCHOxoLDNekRuJ4URyicRiuNE8YtHgwjzqpDMIrDCDwMa1FVSXg08ymeT/3nqLMaecQiQSZH3WHNmbkbe0AWDmuX8jL6JxElsFA5RbsNyCzy1YbWGtDaassWGNhbVpz68PTZ6BYgNtCKbF4bRNMG/S84VAgQmCgwVAnmk8be4gYEtjTHCd2mB4h1RtFR/M+jtDB/XHMQlIxfGScZKJOpKJOlKJOKlkXXBNlvmhLhFedyUyWerp6y7br/+Rzjap4LrWJOvLV/z6Y1fqTIQq8thq8qgilyqT1+B1Xvg6lxorn1SkAC9SiIkVYsWKsHOKcPOKycvJpTDmUBBzKcxxKYy5FMac+vlwmhvZiwCgMeE9UCq8D0rVz/seQQM2QYDS9/GMj+/7pDwP3zekfB/f8/CNCTfzg4BnGPg0xmB8g8EH3w/+uXDeN0FY01guvuVi7GDqp6eWi7FcPNvFxw3uOR2bSHiP6dpWk/ecrh3ci9oH4r4z/X6ZdA8QP3zPwt4WlhUkVaTvD0zYe95YeL5FKnPvARY2lm1jYWHZFmBj2Ra2RbDMCu8bLIKtw1sNC4tUKslbb03j1DH136H7k5Wb27Lv21uZdKzo888/p2vXrtmuzj7Zox+wEokEc+fO5eabb84ss22b0aNHM2vWrCb3mTVrFjfccEOjZWPGjGHKlCkArFixgvLyckaPrn/sfXFxMcOGDWPWrFlNBu/i8TjxeH2eelVVFQCf/Oo/2Ngmf09OaZcsDI7l4eDjWh62ZXDxcKwwS8Xy60u4jWP5wTb42OkAQhP2tkNU0gQ3yskwJFAdhGCCwF849bDxTHAT7Zn0vI0xFg4+jvGxCYpLej4IeKQDHzbbzTdYZlsGG7/BfIPXDdY74bGdXbwP6feiqY/FMwBW7OUbdYDYliGH4JfTjKY+exvGiHbeu0+EZLrt4pDAJU6EhImEQWKXpAlKyjjh1A7auW8Hxdj4vo3vW3i+g+9bGA+Mb4EHxrPAMxjPwvINlgeW5+N4HrZncHwfOxW8djwf2zdYvsH2DLbnY4XLHBN8drh+mKlnfBw//XnSsI0HgxA5JMilptneRx+oC4uIBMOifXrrbfULYoX88b7gC+nz+47PTqWk+bUHq20MN1WGm2qP67XH8driptrjeO0yr51Ue1yvHY7XNrjprbGgxmJnD53d3dtOQxLfrsG3a4OpVYuxa/GtWnxnG2s63/DlB2mF2hEkTe5/FsGgEQ0HjjBYDtiOwQqL7YbTsFiuARd818aPWPiuDREwrgUuWA5YDfZxHB/H8XFtH9f2cG0Px/LSdw9gEc6nf6y18Lf/8bbBfIOaNrmNFc5bGPKtOvKt4D4wyGbcQom13ZPbm2IIxkdMAFX1i2tNNAz05WYCfz42NXgk8Km0PFw8XBP8EBsxKSJ4REzQW8G2guJQP62/N9x5b4amZHvAjJQJfpxN32eGP/VTZxyqtlsW3HM6+MbCxuCGP+M6JrwnTk/De8JwaxzLYDV4j2wMjhXel+7h+wV7/p75pv7vsv5vNLiSDX6EDu54T8Sm6uNg3sPGN8Hdro+NF971esZK30WHyQrpbYJ5A8F6E/xbvgn+rp38PGwr+Cuvv78m3XrCe3MyyQi28ckkGGCwwtcWgDHbta4w0BsGN9Nr69th/fk2bKOmwTbGajxPw/WZpAu4r83NJO3cTBDUtoK2ShgEbRgQDf/j1+cMoDi3ecduTqX27geMljhU3B4F7zZt2oTneZSWNh7MtrS0lH//+99N7lNeXt7k9uXl5Zn16WU722Z7d999Nz/96U93WN63YDVd81p2lkX6Rj1J+obdxQAOPpHwQy9C8CXRVPAvYgXrGwWPYP+PY9LMfBN+MIZhwPS8R4MPykYfkHaY8eYSN0GwIz1NmCB7MeUHAY6Ub+N5Nsaz8H0LP2VjPCAVBDYsz2AlTTj1sVMGO+XhJnzclEfUT5JrEsRMkhwSREkSI0HE9vFt8CN2cLHj2sG8Y2EcC+MGUxyCluZYYAcXUJYDtu1j2+GFk+1vl3xmwLIyAVV7h6lf/+EeBksbBk7T26YDqOkAq2MZEsYlGQaKksYlmQ4SEQaIcPBMGBA26QCwQ8pY+MbB84MvJM8Pvox8v77gW5iwq4djwi9r42UCP47xg6w2K7gUC77DTPjrU3BZBqbx33MT8w1/rEp/8aRz8BrON9JwgbG2W2jVd89I/yMmswbfhF/Imakd/LJngr8lKzxny/exPCAMflnBRtgeQSDM93G84G/N9sLgl+/jGi8MhHm4vodr/LAraxKHJBo8QERE9pax4ySjK0lGV+7Oxth+Po5XhO0X4fiF4XzDaWGwLnxt+7nYJhfbz8P2c7FMHrYJUu4sIjh+MY6/41gBnv0lT6iV/ST4Uc/zvuI3C6HN5INlsCMGJ+I3mtpRHydisCM+TsTHihiIWRAFKwpOxMeNeERcj4gT/JiRayXIJUFHq7JZz8M39UEVP9N3JAz2wA7Ld9jONAzI1F8LN5y3CO4F3PDe0k0HIvGaDJS5VpDY0druMxuqv7/e/ofnL7E/34NWkgy7YFUlNXv4s/mb/zeNombOyN60adMe79NSh4r7Sj5t9uabb26UzbdmzRr69evHor7X8XlR0X78lyx82w3TjZ1GKcfGdrGdCJYbwXYi2LaL7UZxwteOG8F2I7iZ11Fc1yXi1Kciu7ZFjmPjplN4rfpfmZLQYHysBuNk+SlIJfC8FF4qHCcrHETeT9VPfS+B76XCEg4g7/ukjI1nIBUGwzxjkTIWxgq6ZGKlu1laWEGEKeiqaTvB+rBrZnqdbQf72LaNbbvBfnbQldO23WBfJ92908FyXBzbwnFcsB2cBt057TBi79gWnpfibzNnMurkrxM9AOnKB5vth07Zb+PGyEEpmUoxY8YMTj75ZCKu/pJEWpqm2qh75JHcuHYtlbm5FF14Iff+8pdZrqW0NvXPcagNuohWA9VWkMWXnq+2oAaotcC4HHbB+1mscXboOzT7fCDup4KHocS3YsWrIFGFFd8K8a1B9007uFcxlkPct6n1LGo8i5qkRU3KojoFdb6NZbvYjhtOg+FvLCdYZjsRnMy8i+NEsMJhchw7uAd0bHDC+8KGU8cOuqoeiO6pQVdTv8EYzA3uM70klt9gyKfwPtLzknjJYBrccybqH1hmbFJW8IN/CjvsJdJ4PkmQUIGdfn/C9y79usH7ZzvhcEBuBNsJ7hcd28K1wLbAtQy2Da5lBT3jLINjkSk2fhjgDLojgwm7Eoddi9PjLaa7Hofdj8HD+D7JZIK5cz5g8OBBuJYVbBsO3RR0cU6Fy3yM7+GHw0L54TBPxvcxJhV0afY9TGZ9ECT0HbdBtl4YmA2nQbJKOO8Hww9Z6eGxLDtM7kh3HQas9LBKhMvsMBPOBNl7DXLrbMtgGRNkw4VDCdnhvCHdZdk0GI8yHG8yU/ww2SF4/cuuR2PsSJjhR2bIpMyYlun/B5n1cMZRZeREmjfHdM2aNXu8z29+8xsuv/xyLr30UgAmT57M66+/zuOPP97kUHH3338/p556Kj/+8Y8BuOuuu5g2bRoPPfRQZqi4SZMmMXHiRL71rW8B8PTTT1NaWsqUKVN2a6g42MP79w4dOuA4DuvXr2+0fP369ZSVlTW5T1lZ2S63T0/Xr19Pp06dGm2zs6ehxWIxYrH6dPCtW4Nf7vqd/r2vfD9mCSSTSaxYlJzi4gMy1oCI7D07mcREo8SKitQ+RVqgnbXRF4xhTU0NXV57jfsnT85iDeWg0CHbFWiZ9B3akrTfra2iBMM7ysEhmUzif7qRjv1GqI3uwsBsV2A3ueGPJFVVVZm4EewYU0prKUPFNWWP+phGo1GOOeYYpk+fnlnm+z7Tp09n+PDhTe4zfPjwRtsDTJs2LbP9oYceSllZWaNttm7dyuzZs3d6TBERERERERERkS/Tr18/iouLM+Xuu+9ucrtdDRW3s2HdDsRQcU3Z41ztG264gYsvvpghQ4YwdOhQJk2aRHV1dSal8KKLLqJLly6ZN+Paa6/lpJNO4r777mPs2LE8++yzzJkzh9///vdA0FX0uuuu42c/+xm9evXK9P/t3LkzZ5555p5WT0RERESa8A7glZbivPNOtqsiIiIi0mwWLVpEly5dMq+byrpr6fY4eHfeeeexceNGbrvtNsrLyxk0aBBTp07NRBFXrVoVjIMWGjFiBM888wwTJ07klltuoVevXkyZMiUzcB/ATTfdRHV1NVdccQWVlZUcf/zxTJ06dbcH7hMRERGRXTsUwHXh0EOzXRURERGRZlNYWEjRbjwfoaUMFdeUvXo069VXX83KlSuJx+PMnj2bYcOGZdbNnDmTJ598stH248aNY8mSJcTjcT766KNGj8yFIPvuzjvvpLy8nLq6Ot5++2169+69N1UTERERERERERHZIy15qDg94khERERERERERA56LXWoOAXvRERERA4CM4F4XR2xmTMZOXJklmsjIiIi0vK01KHiFLwTEREROQh8B1izeTNdvvMdVq9ene3qiIiIiLRIV199NVdffXWT62bOnLnDsnHjxjFu3LidHi89VNydd96513VqFcE73/cBWLduXZZrIvtLKpVi06ZNrFmzBtdtFX+mIq2G2qdIy9ZkG02lSDVYr+CdSHboO1SkZVMbbV3SMaJ0zOirrFX8Naaf7DF06NAs10RERESkZVu/fj3dunXLdjVEREREmsX69evp3r17tquxTyxjjMl2JfZVKpVi/vz5lJaWNup7LF9dVVVV9OvXj0WLFlFYWJjt6ohIA2qfIi2b2qhIy6X2KdKyqY22Lr7vs379eo4++uivfCZlqwjeSeuzdetWiouL2bJlC0VFRdmujog0oPYp0rKpjYq0XGqfIi2b2qi0VEpTExERERERERERaaEUvBMREREREREREWmhFLyTFikWi3H77bcTi8WyXRUR2Y7ap0jLpjYq0nKpfYq0bGqj0lJpzDsREREREREREZEWSpl3IiIiIiIiIiIiLZSCdyIiIiIiIiIiIi2UgnciIiIiIiIiIiItlIJ3IiIiIiIiIiIiLZSCd5IV99xzD5Zlcd1112WWlZeXc+GFF1JWVkZ+fj6DBw/mpZdearRfRUUFEyZMoKioiDZt2nDZZZexbdu2Zq69SOtzxx13YFlWo9K3b9/M+rq6On7wgx/Qvn17CgoKOPvss1m/fn2jY6xatYqxY8eSl5dHx44d+fGPf0wqlWruUxFplXbVRisqKrjmmmvo06cPubm5dO/enR/+8Ids2bKl0THURkUOjC/7Dk0zxnDaaadhWRZTpkxptE7tU+TA2Z02OmvWLE4++WTy8/MpKirixBNPpLa2NrNe96GSbW62KyAHnw8++IDf/e53HHXUUY2WX3TRRVRWVvLqq6/SoUMHnnnmGc4991zmzJnD0UcfDcCECRNYt24d06ZNI5lMcumll3LFFVfwzDPPZONURFqVI488krfffjvz2nXrvyKuv/56Xn/9dV544QWKi4u5+uqrOeuss/jHP/4BgOd5jB07lrKyMt577z3WrVvHRRddRCQS4Re/+EWzn4tIa7SzNrp27VrWrl3Lr3/9a/r168fKlSu58sorWbt2LS+++CKgNipyoO3qOzRt0qRJWJa1w3K1T5EDb1dtdNasWZx66qncfPPNPPjgg7iuy4cffoht1+c66T5Uss6INKOqqirTq1cvM23aNHPSSSeZa6+9NrMuPz/fPP300422b9eunXnssceMMcYsWrTIAOaDDz7IrH/zzTeNZVlmzZo1zVJ/kdbq9ttvNwMHDmxyXWVlpYlEIuaFF17ILFu8eLEBzKxZs4wxxrzxxhvGtm1TXl6e2ebRRx81RUVFJh6PH9C6ixwMdtVGm/L888+baDRqksmkMUZtVORA2p32OX/+fNOlSxezbt06A5hXXnkls07tU+TA+rI2OmzYMDNx4sSdrtd9qLQE6jYrzeoHP/gBY8eOZfTo0TusGzFiBM899xwVFRX4vs+zzz5LXV0dI0eOBIJfRNq0acOQIUMy+4wePRrbtpk9e3ZznYJIq7V06VI6d+7MYYcdxoQJE1i1ahUAc+fOJZlMNmq3ffv2pXv37syaNQsI2ueAAQMoLS3NbDNmzBi2bt3Kxx9/3LwnItJK7ayNNmXLli0UFRVlMgvURkUOrF21z5qaGi644AIefvhhysrKdthX7VPkwNtZG92wYQOzZ8+mY8eOjBgxgtLSUk466STefffdzL66D5WWQME7aTbPPvss8+bN4+67725y/fPPP08ymaR9+/bEYjG+973v8corr9CzZ08gGBOvY8eOjfZxXZd27dpRXl5+wOsv0poNGzaMJ598kqlTp/Loo4+yYsUKTjjhBKqqqigvLycajdKmTZtG+5SWlmbaXnl5eaObjvT69DoR2Te7aqPb27RpE3fddRdXXHFFZpnaqMiB82Xt8/rrr2fEiBF861vfanJ/tU+RA2tXbfTTTz8FgnHxLr/8cqZOncrgwYMZNWoUS5cuBXQfKi2DxryTZvH5559z7bXXMm3aNHJycprc5tZbb6WyspK3336bDh06MGXKFM4991zeeecdBgwY0Mw1Fjm4nHbaaZn5o446imHDhnHIIYfw/PPPk5ubm8WaiQjsuo1edtllmXVbt25l7Nix9OvXjzvuuCMLNRU5+OyqfZaUlDBjxgzmz5+fxRqKHNx21UaPOOIIAL73ve9x6aWXAnD00Uczffp0Hn/88Z0mnog0N2XeSbOYO3cuGzZsYPDgwbiui+u6/O1vf+OBBx7AdV2WL1/OQw89xOOPP86oUaMYOHAgt99+O0OGDOHhhx8GoKysjA0bNjQ6biqVoqKioskuCCKy99q0aUPv3r1ZtmwZZWVlJBIJKisrG22zfv36TNsrKyvb4emz6ddqnyL7X8M2mlZVVcWpp55KYWEhr7zyCpFIJLNObVSk+TRsnzNmzGD58uW0adMmcw0McPbZZ2eGhlH7FGleDdtop06dAOjXr1+jbY444ohM11rdh0pLoOCdNItRo0axcOFCFixYkClDhgxhwoQJLFiwgJqaGoBGT/QBcBwH3/cBGD58OJWVlcydOzezfsaMGfi+z7Bhw5rvZEQOAtu2bWP58uV06tSJY445hkgkwvTp0zPrlyxZwqpVqxg+fDgQtM+FCxc2urCZNm0aRUVFO1wMici+a9hGIci4O+WUU4hGo7z66qs7ZLmrjYo0n4bt8yc/+Qn/+te/Gl0DA/z2t7/liSeeANQ+RZpbwzbao0cPOnfuzJIlSxpt88knn3DIIYcAug+VFiLbT8yQg1fDp80mEgnTs2dPc8IJJ5jZs2ebZcuWmV//+tfGsizz+uuvZ/Y59dRTzdFHH21mz55t3n33XdOrVy8zfvz4LJ2BSOvxox/9yMycOdOsWLHC/OMf/zCjR482HTp0MBs2bDDGGHPllVea7t27mxkzZpg5c+aY4cOHm+HDh2f2T6VSpn///uaUU04xCxYsMFOnTjUlJSXm5ptvztYpibQqu2qjW7ZsMcOGDTMDBgwwy5YtM+vWrcuUVCpljFEbFTmQvuw7dHts97RZtU+RA+vL2uhvf/tbU1RUZF544QWzdOlSM3HiRJOTk2OWLVuWOYbuQyXbNOadtAiRSIQ33niDn/zkJ5xxxhls27aNnj178tRTT3H66adntvvzn//M1VdfzahRo7Btm7PPPpsHHnggizUXaR1Wr17N+PHj2bx5MyUlJRx//PG8//77lJSUAEGGQLrNxeNxxowZwyOPPJLZ33EcXnvtNa666iqGDx9Ofn4+F198MXfeeWe2TkmkVdlVG505c2bmaXfphzylrVixgh49eqiNihxAX/Yd+mXUPkUOrC9ro9dddx11dXVcf/31VFRUMHDgQKZNm8bhhx+eOYbuQyXbLGOMyXYlREREREREREREZEca805ERERERERERKSFUvBORERERERERESkhVLwTkREREREREREpIVS8E5ERERERERERKSFUvBORERERERERESkhVLwTkREREREREREpIVS8E5ERERERERERKSFUvBORERERERERESkhVLwTkREREREREREpIVS8E5EREREvlK+/e1v07ZtW84555xsV0VERETkgFPwTkRERES+Uq699lqefvrpbFdDREREpFkoeCciIiLyFTVy5Eiuu+66PdrGGMMVV1xBu3btsCyLBQsW7Pa/ZVnWHu1zoIwcOZLCwsIm111yySWZek6ZMqV5KyYiIiJyACh4JyIiIq1Gw8BNJBLh0EMP5aabbqKuri7bVcual19+mbvuuivzeurUqTz55JO89tprrFu3jv79++9WEBDg8ssvz+zTUt1///2sW7cu29UQERER2W/cbFdAREREZH869dRTeeKJJ0gmk8ydO5eLL74Yy7L45S9/me2qZUW7du0avV6+fDmdOnVixIgRe3ysvLw8ysrK9lfVdmrQoEGkUqkdlr/11lt07tx5l/sWFxdTXFx8oKomIiIi0uyUeSciIiKtSiwWo6ysjG7dunHmmWcyevRopk2bllk/depUjj/+eNq0aUP79u355je/yfLlyxsdY+TIkVxzzTVcd911tG3bltLSUh577DGqq6u59NJLKSwspGfPnrz55pt7fNwf/vCH3HTTTbRr146ysjLuuOOOXZ7Piy++yIABA8jNzaV9+/aMHj2a6urqzHrf93d5vIZZdZdccgnXXHMNq1atwrIsevTowSWXXMLf/vY37r///kzW4meffbbb77fv+9x777307NmTWCxG9+7d+fnPf75P7+WCBQv46KOPdihfFrgTERERaY0UvBMREZFW66OPPuK9994jGo1mllVXV3PDDTcwZ84cpk+fjm3bfPvb38b3/Ub7PvXUU3To0IF//vOfXHPNNVx11VWMGzeOESNGMG/ePE455RQuvPBCampq9vi4+fn5zJ49m3vvvZc777yzUXCxoXXr1jF+/Hi++93vsnjxYmbOnMlZZ52FMWavjnf//fdz55130rVrV9atW8cHH3zA/fffz/DhwzNdYtetW0e3bt12+z2++eabueeee7j11ltZtGgRzzzzDKWlpfv0XoqIiIhIPcs0vPoTERER+Qq75JJL+NOf/kROTg6pVIp4PI5t2zz//POcffbZTe6zadMmSkpKWLhwYWYst5EjR+J5Hu+88w4AnudRXFzMWWedlXnKaXl5OZ06dWLWrFkcd9xxe3VcgKFDh3LyySdzzz337HCMefPmccwxx/DZZ59xyCGH7LB+d443cuRIBg0axKRJkwCYNGkSkyZNapRdt/02TWlqm6qqKkpKSnjooYf4z//8z53ut6/v5fZGjx7Nhx9+SHV1Ne3ateOFF15g+PDhjbaxLItXXnmFM88880uPJyIiItKSKfNOREREWpWvf/3rLFiwgNmzZ3PxxRdz6aWXNgrcLV26lPHjx3PYYYdRVFREjx49AFi1alWj4xx11FGZecdxaN++PQMGDMgsS2eXbdiwYa+PC9CpU6fMMbY3cOBARo0axYABAxg3bhyPPfYYX3zxxV4fb39bvHgx8XicUaNG7XK7PX0vv8zbb7/Nxo0bqampYfXq1TsE7kRERERaEwXvREREpFXJz8+nZ8+eDBw4kMcff5zZs2fzhz/8IbP+jDPOoKKigscee4zZs2cze/ZsABKJRKPjRCKRRq/TT7Bt+BrIdIvdl+Nu37U2zXEcpk2bxptvvkm/fv148MEH6dOnDytWrNir4+1vubm5u7Xdnr6XIiIiIlJPwTsRERFptWzb5pZbbmHixInU1tayefNmlixZwsSJExk1ahRHHHHEDplse+NAHReCwNbXvvY1fvrTnzJ//nyi0SivvPLKfjl2WjQaxfO8Pd6vV69e5ObmMn369P1aHxERERGpp+CdiIiItGrjxo3DcRwefvhh2rZtS/v27fn973/PsmXLmDFjBjfccMM+/xsH6rizZ8/mF7/4BXPmzGHVqlW8/PLLbNy4kSOOOGKfj91Qjx49mD17Np999hmbNm3a7Qy4nJwc/uu//oubbrqJp59+muXLl/P+++83ynQUERERkX2j4J2IiIi0aq7rcvXVV3PvvfdSW1vLs88+y9y5c+nfvz/XX389v/rVr/b537Bt+4Act6ioiL///e+cfvrp9O7dm4kTJ3Lfffdx2mmn7fOxG7rxxhtxHId+/fpRUlKywzh9u3Lrrbfyox/9iNtuu40jjjiC8847r9nG3BMRERE5GOhpsyIiIiLypXbnibQtiZ42KyIiIq2FMu9EREREZLc88sgjFBQUsHDhwmxXZaeuvPJKCgoKsl0NERERkf1GmXciIiIi8qXWrFlDbW0tAN27dycajWa5Rk3bsGEDW7duBaBTp07k5+dnuUYiIiIi+0bBOxERERERERERkRZK3WZFRERERERERERaKAXvREREREREREREWigF70RERERERERERFooBe9ERERERERERERaKAXvREREREREREREWigF70RERERERERERFooBe9ERERERERERERaKAXvREREREREREREWigF70RERERERERERFooBe9ERERERERERERaKAXvREREREREREREWqj/D+iSWw7Gb4hrAAAAAElFTkSuQmCC", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -1452,24 +1295,26 @@ } ], "source": [ + "# plot\n", + "df = fitres.to_dataframe_peaks().sort_values(by=\"height\",ascending=False)\n", + "print(\"The Si peak of the calibrated spectrum (Pearson4)\", df.iloc[0][\"center\"])\n", + "\n", "fig, ax1 = plt.subplots(1,1,figsize=(15,3))\n", "\n", "spe_sil.plot(label=\"Si original\",ax=ax1)\n", "spe_sil_calibrated = calmodel1.apply_calibration_x(spe_sil)\n", "spe_sil_calibrated.plot(ax=ax1,label=\"Si calibrated\")\n", "ax1.set_xlabel('Raman shift [cm$^{-1}$]')\n", - "ax1.set_xlim(520-20,520+20)\n", - "ax.axvline(x=520.45, color='red', linestyle='-', linewidth=2, label=\"Reference 520.45 cm-1\")\n", - "spe_test = spe_sil_calibrated #.trim_axes(method='x-axis',boundaries=(si_peak-50,si_peak+50))\n", - "fitres = find_peaks(spe_test,profile=\"Pearson4\")\n", - " \n", - "fitres.plot(ax=ax1,label=\"fit res\")\n", - "spe_test.plot(ax=ax1,label=\"Si laser zeroed\", fmt=\":\")\n", - "df = fitres.to_dataframe_peaks().sort_values(by=\"height\",ascending=False)\n", + "ax1.set_xlim(520-50,520+50)\n", + "# ax1.set_xlim(300, max(spe_sil.x))\n", + "ax1.axvline(x=520.45, color='red', linestyle='-', linewidth=2, label=\"Reference 520.45 cm-1\")\n", "\n", - "\n", - "print(\"The Si peak of the calibrated spectrum (Pearson4)\", df.iloc[0][\"center\"])\n", - "df.head()" + "ax1.axvline(x=df.iloc[0][\"center\"], color='black', linestyle=':', linewidth=2, label=\"Si peak {} cm-1\".format(df.iloc[0][\"center\"]))\n", + "cand.plot(ax=ax1,label=\"candidates\") \n", + "fitres.plot(ax=ax1.twinx(),label=\"fit res\",color=\"magenta\")\n", + "ax1.legend()\n", + "ax1.grid()\n", + "df" ] } ], From ec895918c1f2aef118d93fcc6adbeb0ff6898239 Mon Sep 17 00:00:00 2001 From: vedina Date: Thu, 31 Oct 2024 16:36:09 +0200 Subject: [PATCH 10/38] moved match peaks by clustering and linear ssignment into separate file --- src/ramanchada2/misc/utils/__init__.py | 7 +- src/ramanchada2/misc/utils/argmin2d.py | 227 ----------------------- src/ramanchada2/misc/utils/matchsets.py | 227 +++++++++++++++++++++++ src/ramanchada2/protocols/calibration.py | 2 +- tests/protocols/test_calibrationmodel.py | 2 +- 5 files changed, 234 insertions(+), 231 deletions(-) create mode 100644 src/ramanchada2/misc/utils/matchsets.py diff --git a/src/ramanchada2/misc/utils/__init__.py b/src/ramanchada2/misc/utils/__init__.py index 0b149730..ea6f080d 100644 --- a/src/ramanchada2/misc/utils/__init__.py +++ b/src/ramanchada2/misc/utils/__init__.py @@ -14,6 +14,9 @@ from .argmin2d import (argmin2d, find_closest_pairs, find_closest_pairs_idx, - align, align_shift, - match_peaks + align, align_shift ) + +from .matchsets import ( + match_peaks,match_peaks_cluster + ) \ No newline at end of file diff --git a/src/ramanchada2/misc/utils/argmin2d.py b/src/ramanchada2/misc/utils/argmin2d.py index 419486ed..87a09d81 100644 --- a/src/ramanchada2/misc/utils/argmin2d.py +++ b/src/ramanchada2/misc/utils/argmin2d.py @@ -2,12 +2,8 @@ import numpy as np import numpy.typing as npt -import pandas as pd from pydantic import PositiveInt, validate_call from scipy import linalg -from sklearn.cluster import KMeans -from sklearn.metrics.pairwise import euclidean_distances -from scipy.optimize import linear_sum_assignment def argmin2d(A): @@ -82,226 +78,3 @@ def align_shift(x, y, if loss > loss_bak: return p_bak return p - - -def match_peaks_cluster(spe_pos_dict, ref): - # Min-Max normalize the reference values - min_value = min(ref.values()) - max_value = max(ref.values()) - if len(ref.keys()) > 1: - normalized_ref = {key: (value - min_value) / (max_value - min_value) for key, value in ref.items()} - else: - normalized_ref = ref - - min_value_spe = min(spe_pos_dict.values()) - max_value_spe = max(spe_pos_dict.values()) - # Min-Max normalize the spe_pos_dict - if len(spe_pos_dict.keys()) > 1: - normalized_spe = { - key: (value - min_value_spe) / (max_value_spe - min_value_spe) for key, value in spe_pos_dict.items() - } - else: - normalized_spe = spe_pos_dict - data_list = [ - {'Wavelength': key, 'Intensity': value, 'Source': 'spe'} for key, value in normalized_spe.items() - ] + [ - {'Wavelength': key, 'Intensity': value, 'Source': 'reference'} for key, value in normalized_ref.items() - ] - - # Create a DataFrame from the list of dictionaries - df = pd.DataFrame(data_list) - feature_matrix = df[['Wavelength', 'Intensity']].to_numpy() - - n_ref = len(ref.keys()) - n_spe = len(spe_pos_dict.keys()) - kmeans = KMeans(n_clusters=n_ref if n_ref > n_spe else n_spe, random_state=68) - kmeans.fit(feature_matrix) - labels = kmeans.labels_ - # Extract cluster labels, x values, and y values - df['Cluster'] = labels - grouped = df.groupby('Cluster') - x_spe = np.array([]) - x_reference = np.array([]) - x_distance = np.array([]) - clusters = np.array([]) - # Iterate through each group - for cluster, group in grouped: - # Get the unique sources within the group - unique_sources = group['Source'].unique() - if 'reference' in unique_sources and 'spe' in unique_sources: - # Pivot the DataFrame to create the desired structure - for w_spe in group.loc[group["Source"] == "spe"]["Wavelength"].values: - x = None - r = None - e_min = None - for w_ref in group.loc[group["Source"] == "reference"]["Wavelength"].values: - e = euclidean_distances(w_spe.reshape(-1, 1), w_ref.reshape(-1, 1))[0][0] - if (e_min is None) or (e < e_min): - x = w_spe - r = w_ref - e_min = e - x_spe = np.append(x_spe, x) - x_reference = np.append(x_reference, r) - x_distance = np.append(x_distance, e_min) - clusters = np.append(clusters, cluster) - sort_indices = np.argsort(x_spe) - return (x_spe[sort_indices], x_reference[sort_indices], x_distance[sort_indices], df) - - -def cost_function_position(p1, p2, order_weight=1.0, priority_weight=1.0): - order_penalty = order_weight * abs(p1[0] - p2[0]) - return order_penalty - - -def cost_function(p1, p2, order_weight=1.0, priority_weight=.1): - """ - Modified cost function with an order preservation penalty and priority weighting. - - `order_weight` increases penalty for large differences in the x-axis values. - - `priority_weight` decreases the cost for higher values in the y-axis for set_b points. - """ - order_penalty = order_weight * abs(p1[0] - p2[0]) - priority_bonus = priority_weight * p2[1] # Rewards points in set_b with higher second dimension values - return order_penalty - priority_bonus - - -def normalize_tuples(tuples): - second_values = np.array([x[1] for x in tuples]) - min_val, max_val = second_values.min(), second_values.max() - normalized_values = (second_values - min_val) / (max_val - min_val) - # Replace the original second dimension with the normalized values - return [(tuples[i][0], normalized_values[i]) for i in range(len(tuples))] - - -def cost_matrix_peaks(spectrum_a_dict, spectrum_b_dict, threshold_max_distance=9, cost_func=None): - if cost_func is None: - cost_func = cost_function_position - peaks_a = np.array(list(spectrum_a_dict.keys())) - intensities_a = np.array(list(spectrum_a_dict.values())) - peaks_b = np.array(list(spectrum_b_dict.keys())) - intensities_b = np.array(list(spectrum_b_dict.values())) - - num_peaks_b = len(peaks_b) # Number of reference peaks to match - - # Normalize intensities using min-max normalization - def normalize_intensities(intensities): - min_intensity = np.min(intensities) - max_intensity = np.max(intensities) - return (intensities - min_intensity) / (max_intensity - min_intensity) - - intensities_a_normalized = normalize_intensities(intensities_a) - intensities_b_normalized = normalize_intensities(intensities_b) - - num_peaks_a = len(peaks_a) - cost_matrix = np.full((num_peaks_a, num_peaks_b), np.inf) # Initialize with infinity - - for i in range(num_peaks_a): - for j in range(num_peaks_b): - cost = cost_func([peaks_a[i], intensities_a_normalized[i]], [peaks_b[j], intensities_b_normalized[j]], priority_weight=1) - cost_matrix[i, j] = cost - return cost_matrix - - -def match_peaks(spectrum_a_dict, spectrum_b_dict, threshold_max_distance=9, df=False, cost_func=None): - """ - Match peaks between two spectra based on their positions and intensities. - - Uses scipy linear_sum_assignment to match peaks based on cost function - https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.linear_sum_assignment.html - - Parameters: - ---------- - spectrum_a_dict : dict - A dictionary representing the first spectrum, where keys are peak - positions (float) and values are peak intensities (float). - - spectrum_b_dict : dict - A dictionary representing the second spectrum, where keys are peak - positions (float) and values are peak intensities (float). - - threshold_max_distance : float, optional - The maximum allowed distance for two peaks to be considered a match. - Default is 8. - - df : bool, optional - If True, return a DataFrame with matched peaks and their respective - intensities; if False, return None - - Returns: - ------- - matched_peaks : (matched_peaks_a,matched_peaks_b,matched_distances, df) - - Examples: - --------- - >>> spectrum_a = {100: 10, 105: 20, 110: 15} - >>> spectrum_b = {102: 12, 106: 22, 111: 16} - >>> match_peaks(spectrum_a, spectrum_b) - - """ - cost_matrix = cost_matrix_peaks(spectrum_a_dict, spectrum_b_dict, threshold_max_distance=threshold_max_distance, cost_func=cost_function if cost_func is None else cost_func) - - # Use the Hungarian algorithm to find the optimal assignment - try: - row_ind, col_ind = linear_sum_assignment(cost_matrix) - - except Exception as err: - raise err - - # Prepare matched peaks and distances - # I am sure this could be done in a more efficient way - matched_peaks_a = [] - matched_peaks_b = [] - matched_distances = [] - intensity_a = [] - intensity_b = [] - - peaks_a = np.array(list(spectrum_a_dict.keys())) - intensities_a = np.array(list(spectrum_a_dict.values())) - peaks_b = np.array(list(spectrum_b_dict.keys())) - intensities_b = np.array(list(spectrum_b_dict.values())) - - last_matched_reference = -np.inf - last_matched_cost = np.inf - for i in range(len(row_ind)): - cost = cost_matrix[row_ind[i], col_ind[i]] - if abs(peaks_a[row_ind[i]]-peaks_b[col_ind[i]]) >= threshold_max_distance: - continue - if cost < np.inf: # Only consider valid pairs - current_reference = peaks_b[col_ind[i]] - if current_reference >= last_matched_reference: - matched_peaks_a.append(peaks_a[row_ind[i]]) - matched_peaks_b.append(current_reference) - matched_distances.append(cost) - last_matched_reference = current_reference - last_matched_cost = cost - intensity_a.append(intensities_a[row_ind[i]]) - intensity_b.append(intensities_b[col_ind[i]]) - elif last_matched_cost > cost: - matched_peaks_a[-1] = peaks_a[row_ind[i]] - matched_peaks_b[-1] = current_reference - matched_distances[-1] = cost - intensity_a[-1] = intensities_a[row_ind[i]] - intensity_b[-1] = intensities_b[col_ind[i]] - last_matched_cost = cost - - matched_peaks_a = np.array(matched_peaks_a) - matched_peaks_b = np.array(matched_peaks_b) - matched_distances = np.array(matched_distances) - - # Sort matched peaks by peaks_a - # linear_sum_assignment shall give the row_ind sorted - # sorted_indices = np.argsort(matched_peaks_a) - # matched_peaks_a = matched_peaks_a[sorted_indices] - # matched_peaks_b = matched_peaks_b[sorted_indices] - # matched_distances = matched_distances[sorted_indices] - - if df: - df = pd.DataFrame({ - 'spe': matched_peaks_a, - 'reference': matched_peaks_b, - 'distances': matched_distances, - 'intensity_a': intensity_a, - 'intensity_b': intensity_b - }) - else: - df = None - return (matched_peaks_a, matched_peaks_b, matched_distances, cost_matrix, df) diff --git a/src/ramanchada2/misc/utils/matchsets.py b/src/ramanchada2/misc/utils/matchsets.py new file mode 100644 index 00000000..f879caf7 --- /dev/null +++ b/src/ramanchada2/misc/utils/matchsets.py @@ -0,0 +1,227 @@ +import pandas as pd +from sklearn.cluster import KMeans +from sklearn.metrics.pairwise import euclidean_distances +from scipy.optimize import linear_sum_assignment +import numpy as np + +def match_peaks_cluster(spe_pos_dict, ref): + # Min-Max normalize the reference values + min_value = min(ref.values()) + max_value = max(ref.values()) + if len(ref.keys()) > 1: + normalized_ref = {key: (value - min_value) / (max_value - min_value) for key, value in ref.items()} + else: + normalized_ref = ref + + min_value_spe = min(spe_pos_dict.values()) + max_value_spe = max(spe_pos_dict.values()) + # Min-Max normalize the spe_pos_dict + if len(spe_pos_dict.keys()) > 1: + normalized_spe = { + key: (value - min_value_spe) / (max_value_spe - min_value_spe) for key, value in spe_pos_dict.items() + } + else: + normalized_spe = spe_pos_dict + data_list = [ + {'Wavelength': key, 'Intensity': value, 'Source': 'spe'} for key, value in normalized_spe.items() + ] + [ + {'Wavelength': key, 'Intensity': value, 'Source': 'reference'} for key, value in normalized_ref.items() + ] + + # Create a DataFrame from the list of dictionaries + df = pd.DataFrame(data_list) + feature_matrix = df[['Wavelength', 'Intensity']].to_numpy() + + n_ref = len(ref.keys()) + n_spe = len(spe_pos_dict.keys()) + kmeans = KMeans(n_clusters=n_ref if n_ref > n_spe else n_spe, random_state=68) + kmeans.fit(feature_matrix) + labels = kmeans.labels_ + # Extract cluster labels, x values, and y values + df['Cluster'] = labels + grouped = df.groupby('Cluster') + x_spe = np.array([]) + x_reference = np.array([]) + x_distance = np.array([]) + clusters = np.array([]) + # Iterate through each group + for cluster, group in grouped: + # Get the unique sources within the group + unique_sources = group['Source'].unique() + if 'reference' in unique_sources and 'spe' in unique_sources: + # Pivot the DataFrame to create the desired structure + for w_spe in group.loc[group["Source"] == "spe"]["Wavelength"].values: + x = None + r = None + e_min = None + for w_ref in group.loc[group["Source"] == "reference"]["Wavelength"].values: + e = euclidean_distances(w_spe.reshape(-1, 1), w_ref.reshape(-1, 1))[0][0] + if (e_min is None) or (e < e_min): + x = w_spe + r = w_ref + e_min = e + x_spe = np.append(x_spe, x) + x_reference = np.append(x_reference, r) + x_distance = np.append(x_distance, e_min) + clusters = np.append(clusters, cluster) + sort_indices = np.argsort(x_spe) + return (x_spe[sort_indices], x_reference[sort_indices], x_distance[sort_indices], df) + + +def cost_function_position(p1, p2, order_weight=1.0, priority_weight=1.0): + order_penalty = order_weight * abs(p1[0] - p2[0]) + return order_penalty + + +def cost_function(p1, p2, order_weight=1.0, priority_weight=.1): + """ + Modified cost function with an order preservation penalty and priority weighting. + - `order_weight` increases penalty for large differences in the x-axis values. + - `priority_weight` decreases the cost for higher values in the y-axis for set_b points. + """ + order_penalty = order_weight * abs(p1[0] - p2[0]) + priority_bonus = priority_weight * p2[1] # Rewards points in set_b with higher second dimension values + return order_penalty - priority_bonus + + +def normalize_tuples(tuples): + second_values = np.array([x[1] for x in tuples]) + min_val, max_val = second_values.min(), second_values.max() + normalized_values = (second_values - min_val) / (max_val - min_val) + # Replace the original second dimension with the normalized values + return [(tuples[i][0], normalized_values[i]) for i in range(len(tuples))] + + +def cost_matrix_peaks(spectrum_a_dict, spectrum_b_dict, threshold_max_distance=9, cost_func=None): + if cost_func is None: + cost_func = cost_function_position + peaks_a = np.array(list(spectrum_a_dict.keys())) + intensities_a = np.array(list(spectrum_a_dict.values())) + peaks_b = np.array(list(spectrum_b_dict.keys())) + intensities_b = np.array(list(spectrum_b_dict.values())) + + num_peaks_b = len(peaks_b) # Number of reference peaks to match + + # Normalize intensities using min-max normalization + def normalize_intensities(intensities): + min_intensity = np.min(intensities) + max_intensity = np.max(intensities) + return (intensities - min_intensity) / (max_intensity - min_intensity) + + intensities_a_normalized = normalize_intensities(intensities_a) + intensities_b_normalized = normalize_intensities(intensities_b) + + num_peaks_a = len(peaks_a) + cost_matrix = np.full((num_peaks_a, num_peaks_b), np.inf) # Initialize with infinity + + for i in range(num_peaks_a): + for j in range(num_peaks_b): + cost = cost_func([peaks_a[i], intensities_a_normalized[i]], [peaks_b[j], intensities_b_normalized[j]], priority_weight=1) + cost_matrix[i, j] = cost + return cost_matrix + + +def match_peaks(spectrum_a_dict, spectrum_b_dict, threshold_max_distance=9, df=False, cost_func=None): + """ + Match peaks between two spectra based on their positions and intensities. + + Uses scipy linear_sum_assignment to match peaks based on cost function + https://docs.scipy.org/doc/scipy/reference/generated/scipy.optimize.linear_sum_assignment.html + + Parameters: + ---------- + spectrum_a_dict : dict + A dictionary representing the first spectrum, where keys are peak + positions (float) and values are peak intensities (float). + + spectrum_b_dict : dict + A dictionary representing the second spectrum, where keys are peak + positions (float) and values are peak intensities (float). + + threshold_max_distance : float, optional + The maximum allowed distance for two peaks to be considered a match. + Default is 8. + + df : bool, optional + If True, return a DataFrame with matched peaks and their respective + intensities; if False, return None + + Returns: + ------- + matched_peaks : (matched_peaks_a,matched_peaks_b,matched_distances, df) + + Examples: + --------- + >>> spectrum_a = {100: 10, 105: 20, 110: 15} + >>> spectrum_b = {102: 12, 106: 22, 111: 16} + >>> match_peaks(spectrum_a, spectrum_b) + + """ + cost_matrix = cost_matrix_peaks(spectrum_a_dict, spectrum_b_dict, threshold_max_distance=threshold_max_distance, cost_func=cost_function if cost_func is None else cost_func) + + # Use the Hungarian algorithm to find the optimal assignment + try: + row_ind, col_ind = linear_sum_assignment(cost_matrix) + + except Exception as err: + raise err + + # Prepare matched peaks and distances + # I am sure this could be done in a more efficient way + matched_peaks_a = [] + matched_peaks_b = [] + matched_distances = [] + intensity_a = [] + intensity_b = [] + + peaks_a = np.array(list(spectrum_a_dict.keys())) + intensities_a = np.array(list(spectrum_a_dict.values())) + peaks_b = np.array(list(spectrum_b_dict.keys())) + intensities_b = np.array(list(spectrum_b_dict.values())) + + last_matched_reference = -np.inf + last_matched_cost = np.inf + for i in range(len(row_ind)): + cost = cost_matrix[row_ind[i], col_ind[i]] + if abs(peaks_a[row_ind[i]]-peaks_b[col_ind[i]]) >= threshold_max_distance: + continue + if cost < np.inf: # Only consider valid pairs + current_reference = peaks_b[col_ind[i]] + if current_reference >= last_matched_reference: + matched_peaks_a.append(peaks_a[row_ind[i]]) + matched_peaks_b.append(current_reference) + matched_distances.append(cost) + last_matched_reference = current_reference + last_matched_cost = cost + intensity_a.append(intensities_a[row_ind[i]]) + intensity_b.append(intensities_b[col_ind[i]]) + elif last_matched_cost > cost: + matched_peaks_a[-1] = peaks_a[row_ind[i]] + matched_peaks_b[-1] = current_reference + matched_distances[-1] = cost + intensity_a[-1] = intensities_a[row_ind[i]] + intensity_b[-1] = intensities_b[col_ind[i]] + last_matched_cost = cost + + matched_peaks_a = np.array(matched_peaks_a) + matched_peaks_b = np.array(matched_peaks_b) + matched_distances = np.array(matched_distances) + + # Sort matched peaks by peaks_a + # linear_sum_assignment shall give the row_ind sorted + # sorted_indices = np.argsort(matched_peaks_a) + # matched_peaks_a = matched_peaks_a[sorted_indices] + # matched_peaks_b = matched_peaks_b[sorted_indices] + # matched_distances = matched_distances[sorted_indices] + + if df: + df = pd.DataFrame({ + 'spe': matched_peaks_a, + 'reference': matched_peaks_b, + 'distances': matched_distances, + 'intensity_a': intensity_a, + 'intensity_b': intensity_b + }) + else: + df = None + return (matched_peaks_a, matched_peaks_b, matched_distances, cost_matrix, df) diff --git a/src/ramanchada2/protocols/calibration.py b/src/ramanchada2/protocols/calibration.py index 9dfe361b..28259d21 100644 --- a/src/ramanchada2/protocols/calibration.py +++ b/src/ramanchada2/protocols/calibration.py @@ -14,7 +14,7 @@ import ramanchada2.misc.constants as rc2const from ramanchada2.misc.plottable import Plottable -from ..misc.utils.argmin2d import match_peaks, match_peaks_cluster, cost_function_position +from ..misc.utils.matchsets import match_peaks, match_peaks_cluster, cost_function_position from ..spectrum import Spectrum logger = logging.getLogger(__name__) diff --git a/tests/protocols/test_calibrationmodel.py b/tests/protocols/test_calibrationmodel.py index 340d1420..6160d724 100644 --- a/tests/protocols/test_calibrationmodel.py +++ b/tests/protocols/test_calibrationmodel.py @@ -112,7 +112,7 @@ def test_laser_zeroing(setup_module): ax.set_xlim(si_peak-50, si_peak+50) _units = setup_module.calmodel.components[1].model_units if _units == "cm-1": - _units = rf"$\mathrm{{[cm^{-1}]}}$" + _units = r"$\mathrm{{[cm^{-1}]}}$" assert _units == "nm" ax.set_xlabel(_units) spe_test = spe_sil_calib # .trim_axes(method='x-axis',boundaries=(si_peak-50,si_peak+50)) From a2072a91a1508fed1dff73ab46cc1140a5a10028 Mon Sep 17 00:00:00 2001 From: vedina Date: Thu, 31 Oct 2024 18:02:15 +0200 Subject: [PATCH 11/38] refactoring into separate files --- src/ramanchada2/protocols/calibration.py | 978 ------------------ .../calibration/CalibrationComponent.py | 128 +++ .../protocols/calibration/CalibrationModel.py | 339 ++++++ .../calibration/LazerZeroingComponent.py | 77 ++ .../calibration/XCalibrationComponent.py | 228 ++++ .../calibration/YCalibrationCertificate.py | 132 +++ .../calibration/YCalibrationComponent.py | 103 ++ .../{ => calibration}/config_certs.json | 0 8 files changed, 1007 insertions(+), 978 deletions(-) delete mode 100644 src/ramanchada2/protocols/calibration.py create mode 100644 src/ramanchada2/protocols/calibration/CalibrationComponent.py create mode 100644 src/ramanchada2/protocols/calibration/CalibrationModel.py create mode 100644 src/ramanchada2/protocols/calibration/LazerZeroingComponent.py create mode 100644 src/ramanchada2/protocols/calibration/XCalibrationComponent.py create mode 100644 src/ramanchada2/protocols/calibration/YCalibrationCertificate.py create mode 100644 src/ramanchada2/protocols/calibration/YCalibrationComponent.py rename src/ramanchada2/protocols/{ => calibration}/config_certs.json (100%) diff --git a/src/ramanchada2/protocols/calibration.py b/src/ramanchada2/protocols/calibration.py deleted file mode 100644 index 28259d21..00000000 --- a/src/ramanchada2/protocols/calibration.py +++ /dev/null @@ -1,978 +0,0 @@ -import json -import logging -import os -import pickle -import warnings -from typing import Dict, Optional, Tuple - -import matplotlib.pyplot as plt -import numpy as np -import pandas as pd -from matplotlib.axes import Axes -from pydantic import BaseModel, ValidationError -from scipy.interpolate import RBFInterpolator - -import ramanchada2.misc.constants as rc2const -from ramanchada2.misc.plottable import Plottable -from ..misc.utils.matchsets import match_peaks, match_peaks_cluster, cost_function_position -from ..spectrum import Spectrum - -logger = logging.getLogger(__name__) - - -class ProcessingModel: - def __init__(self): - pass - - -class CalibrationComponent(Plottable): - def __init__(self, laser_wl, spe, spe_units, ref, ref_units, sample=None): - super(CalibrationComponent, self).__init__() - self.laser_wl = laser_wl - self.spe = spe - self.spe_units = spe_units - self.ref = ref - self.ref_units = ref_units - self.name = "not estimated" - self.model = None - self.model_units = None - self.peaks = None - self.sample = sample - self.enabled = True - self.fit_res = None - - def set_model(self, model, model_units, peaks, name=None): - self.model = model - self.model_units = model_units - self.peaks = peaks - self.name = "calibration component" if name is None else name - - def __str__(self): - return ( - f"{self.name} spe ({self.spe_units}) reference ({self.ref_units}) " - f"model ({self.model_units}) {self.model}" - ) - - def convert_units(self, old_spe, spe_unit="cm-1", newspe_unit="nm", laser_wl=None): - if laser_wl is None: - laser_wl = self.laser_wl - logger.debug( - "convert laser_wl {} {} --> {}".format(laser_wl, spe_unit, newspe_unit) - ) - if spe_unit != newspe_unit: - new_spe = old_spe.__copy__() - if spe_unit == "nm": - new_spe = old_spe.abs_nm_to_shift_cm_1_filter( - laser_wave_length_nm=laser_wl - ) - elif spe_unit == "cm-1": - new_spe = old_spe.shift_cm_1_to_abs_nm_filter( - laser_wave_length_nm=laser_wl - ) - else: - raise Exception( - "Unsupported conversion {} to {}", spe_unit, newspe_unit - ) - else: - new_spe = old_spe.__copy__() - # new_spe = old_spe.__copy__() - return new_spe - - def process(self, old_spe: Spectrum, spe_units="cm-1", convert_back=False): - raise NotImplementedError(self) - - def derive_model(self, find_kw={}, fit_peaks_kw={}, should_fit=False, name=None): - raise NotImplementedError(self) - - def plot(self, ax=None, label=" ", **kwargs) -> Axes: - if ax is None: - fig, ax = plt.subplots(3, 1, figsize=(12, 4)) - elif not isinstance(ax, (list, np.ndarray)): - raise ValueError( - "ax should be a list or array of Axes when creating multiple subplots." - ) - - self._plot(ax[0], label=label, **kwargs) - ax[0].legend() - return ax - - def _plot(self, ax, **kwargs): - pass - - def __getstate__(self): - # Return the state to be serialized, excluding transient_data - state = self.__dict__.copy() - del state["fit_res"] - return state - - def __setstate__(self, state): - self.__dict__.update(state) - self.fit_res = None - - def fitres2df(self, spe): - df = pd.DataFrame( - list( - zip( - self.fit_res.centers, - self.fit_res.fwhm, - np.array( - [ - v - for peak in self.fit_res - for k, v in peak.values.items() - if k.endswith("height") - ] - ), - np.array( - [ - v - for peak in self.fit_res - for k, v in peak.values.items() - if k.endswith("amplitude") - ] - ), - ) - ), - columns=["center", "fwhm", "height", "amplitude"], - ) - return df[(df["center"] >= min(spe.x)) & (df["center"] <= max(spe.x))] - - -class XCalibrationComponent(CalibrationComponent): - def __init__(self, laser_wl, spe, spe_units, ref, ref_units, sample="Neon", match_method="cluster"): - super(XCalibrationComponent, self).__init__( - laser_wl, spe, spe_units, ref, ref_units, sample - ) - self.spe_pos_dict = None - self.match_method = match_method - self.cost_function = cost_function_position - - # @staticmethod - # def from_json(filepath: str): - # rbf_intrpolator, other_data = load_xcalibration_model(filepath) - # calibration_x = XCalibrationComponent(laser_wl, spe, spe_units, ref, ref_units) - # calibration_x.model = rbf_intrpolator - # return calibration_x - - def process(self, old_spe: Spectrum, spe_units="cm-1", convert_back=False): - logger.debug( - "convert spe_units {} --> model units {}".format( - spe_units, self.model_units - ) - ) - new_spe = self.convert_units(old_spe, spe_units, self.model_units) - logger.debug("process", self) - if self.model is None: - return new_spe - elif self.enabled: - if isinstance(self.model, RBFInterpolator): - new_spe.x = self.model(new_spe.x.reshape(-1, 1)) - elif isinstance(self.model, float): - new_spe.x = new_spe.x + self.model - else: - return new_spe - # convert back - if convert_back: - # print("convert back", spe_units) - return self.convert_units(new_spe, self.model_units, spe_units) - else: - return new_spe - - def _plot(self, ax, **kwargs): - ax.stem( - self.spe_pos_dict.keys(), - self.spe_pos_dict.values(), - linefmt="b-", - basefmt=" ", - label="{} peaks".format(self.sample), - ) - ax.twinx().stem( - self.ref.keys(), - self.ref.values(), - linefmt="r-", - basefmt=" ", - label="Reference {}".format(self.sample), - ) - - if self.ref_units == "cm-1": - _units = rf"$\mathrm{{[{self.ref_units}]}}$" - else: - _units = self.ref_units - ax.set_xlabel(_units) - ax.legend() - - def _plot_peaks(self, ax, **kwargs): - # self.model.peaks - pass - # fig, ax = plt.subplots(3,1,figsize=(12,4)) - # spe.plot(ax=ax[0].twinx(),label=spe_units) - # spe_to_process.plot(ax=ax[1],label=ref_units) - - def derive_model( - self, find_kw=None, fit_peaks_kw=None, should_fit=False, name=None - ): - if find_kw is None: - find_kw = {"sharpening": None} - if fit_peaks_kw is None: - fit_peaks_kw = {} - # convert to ref_units - logger.debug( - "[{}]: convert spe_units {} to ref_units {}".format( - self.name, self.spe_units, self.ref_units - ) - ) - peaks_df = self.fit_peaks(find_kw, fit_peaks_kw, should_fit) - x_spe, x_reference, x_distance, cost_matrix, df = self.match_peaks(threshold_max_distance=8, return_df=True) - - self.cost_matrix = cost_matrix - self.matched_peaks = df - # if df is None: - # self.matched_peaks = pd.DataFrame({ - # 'spe': x_spe, - # 'reference': x_reference, - # 'distances': x_distance - # }) - - sum_of_differences = np.sum(np.abs(x_spe - x_reference)) / len(x_spe) - logger.debug( - "sum_of_differences original {} {}".format( - sum_of_differences, self.ref_units - ) - ) - if len(x_reference) == 1: - _offset = x_reference[0] - x_spe[0] - logger.debug( - "ref", - x_reference[0], - "sample", - x_spe[0], - "offset", - _offset, - self.ref_units, - ) - self.set_model(_offset, self.ref_units, peaks_df, name) - else: - try: - kwargs = {"kernel": "thin_plate_spline"} - interp = CustomRBFInterpolator( - x_spe.reshape(-1, 1), x_reference, **kwargs - ) - self.set_model(interp, self.ref_units, peaks_df, name) - except Exception as err: - raise err - - def match_peaks(self, threshold_max_distance=9, return_df=False): - if self.match_method == "cluster": - x_spe, x_reference, x_distance, df = match_peaks_cluster( - self.spe_pos_dict, self.ref - ) - cost_matrix = None - return x_spe, x_reference, x_distance, cost_matrix, df - else: - try: - x_spe, x_reference, x_distance, cost_matrix, df = match_peaks( - self.spe_pos_dict, self.ref, threshold_max_distance=threshold_max_distance, df=return_df, - cost_func=self.cost_function - ) - return x_spe, x_reference, x_distance, cost_matrix, df - except Exception as err: - raise err - - def fit_peaks(self, find_kw, fit_peaks_kw, should_fit): - spe_to_process = self.convert_units(self.spe, self.spe_units, self.ref_units) - logger.debug("max x", max(spe_to_process.x), self.ref_units) - - peaks_df = None - self.fit_res = None - - # instead of fit_peak_positions - we don't want movmin here - # baseline removal might be done during preprocessing - center_err_threshold = 0.5 - find_kw.update(dict(sharpening=None)) - cand = spe_to_process.find_peak_multipeak(**find_kw) - # print(cand.get_ampl_pos_fwhm()) - - self.fit_res = spe_to_process.fit_peak_multimodel(profile="Gaussian", candidates=cand, **fit_peaks_kw, no_fit=not should_fit) - peaks_df = self.fitres2df(spe_to_process) - # self.fit_res.to_dataframe_peaks() - if should_fit: - pos, amp = self.fit_res.center_amplitude(threshold=center_err_threshold) - self.spe_pos_dict = dict(zip(pos, amp)) - else: - self.spe_pos_dict = cand.get_pos_ampl_dict() - return peaks_df - - -class LazerZeroingComponent(CalibrationComponent): - def __init__( - self, - laser_wl, - spe, - spe_units="nm", - ref={520.45: 1}, - ref_units="cm-1", - sample="Silicon", - ): - super(LazerZeroingComponent, self).__init__( - laser_wl, spe, spe_units, ref, ref_units, sample - ) - self.profile = "Pearson4" - - def derive_model(self, find_kw=None, fit_peaks_kw=None, should_fit=True, name=None): - if find_kw is None: - find_kw = {} - if fit_peaks_kw is None: - fit_peaks_kw = {} - - cand = self.spe.find_peak_multipeak(**find_kw) - logger.debug(self.name, cand) - self.fit_res = self.spe.fit_peak_multimodel( - profile=self.profile, candidates=cand, **fit_peaks_kw - ) - # df = self.fit_res.to_dataframe_peaks() - df = self.fitres2df(self.spe) - # highest peak first - df = df.sort_values(by="height", ascending=False) - # df = df.sort_values(by='amplitude', ascending=False) - if df.empty: - raise Exception("No peaks found") - else: - if "position" in df.columns: - zero_peak_nm = df.iloc[0]["position"] - elif "center" in df.columns: - zero_peak_nm = df.iloc[0]["center"] - # https://www.elodiz.com/calibration-and-validation-of-raman-instruments/ - zero_peak_cm1 = self.zero_nm_to_shift_cm_1(zero_peak_nm, zero_peak_nm, list(self.ref.keys())[0]) - self.set_model( - zero_peak_nm, "nm", df, "Laser zeroing using {} nm {} cm-1 ({}) ".format(zero_peak_nm, zero_peak_cm1, self.profile) - ) - logger.info(self.name, f"peak {self.profile} at {zero_peak_nm} nm") - # laser_wl should be calculated based on the peak position and set instead of the nominal - - def zero_nm_to_shift_cm_1(self, wl, zero_pos_nm, zero_ref_cm_1=520.45): - return 1e7 * (1 / zero_pos_nm - 1 / wl) + zero_ref_cm_1 - - # we do not do shift (as initially implemented) - # just convert the spectrum nm->cm-1 using the Si measured peak in nm and reference in cm-1 - # https://www.elodiz.com/calibration-and-validation-of-raman-instruments/ - def process(self, old_spe: Spectrum, spe_units="nm", convert_back=False): - wl_si_ref = list(self.ref.keys())[0] - logger.debug(self.name, "process", self.model, wl_si_ref) - new_x = self.zero_nm_to_shift_cm_1(old_spe.x, self.model, wl_si_ref) - new_spe = Spectrum(x=new_x, y=old_spe.y, metadata=old_spe.meta) - # new_spe = old_spe.lazer_zero_nm_to_shift_cm_1(self.model, wl_si_ref) - # print("old si", old_spe.x) - # print("new si", new_spe.x) - return new_spe - - def _plot(self, ax, **kwargs): - # spe_sil.plot(label="{} original".format(si_tag),ax=ax) - # spe_sil_calib.plot(ax = ax,label="{} laser zeroed".format(si_tag),fmt=":") - # ax.set_xlim(520.45-50,520.45+50) - # ax.set_xlabel("cm-1") - pass - - -class YCalibrationCertificate(BaseModel, Plottable): - """ - Class for intensity calibration certificates - - Usage: - - 1. Use for specific SRM - >>> cert = YCalibrationCertificate( - ... id="NIST785_SRM2241", - ... description="optical glass", - ... url="https://tsapps.nist.gov/srmext/certificates/2241.pdf", - ... wavelength=785, - ... params="A0 = 9.71937e-02, A1 = 2.28325e-04, A2 = -5.86762e-08, A3 = 2.16023e-10, A4 = -9.77171e-14, A5 = 1.15596e-17", - ... equation="A0 + A1 * x + A2 * x**2 + A3 * x**3 + A4 * x**4 + A5 * x**5", - ... temperature_c=(20, 25), - ... raman_shift=(200, 3500) - ... ) - ... - >>> cert.plot() - - """ # noqa: E501 - - id: str - description: Optional[str] - url: Optional[str] - wavelength: int - params: str - equation: str - temperature_c: Optional[Tuple[int, int]] - raman_shift: Optional[Tuple[int, int]] - - @property - def response_function(self): - local_vars = {} - for param in self.params.split(","): - key, value = param.split("=") - key = key.strip() - value = value.strip() - local_vars[key] = eval(value) - - def evaluate_expression(x_value): - local_vars["x"] = x_value - return eval(self.equation, {"np": np}, local_vars) - - return evaluate_expression - - def Y(self, x_value): - return self.response_function(x_value) - - def _plot(self, ax, **kwargs): - if self.raman_shift is None: - x = np.linspace(100, 4000) - else: - x = np.linspace(self.raman_shift[0], self.raman_shift[1]) - kwargs.pop("label", None) - ax.plot( - x, self.Y(x), label="{} ({}nm)".format(self.id, self.wavelength), **kwargs - ) - _units = "cm^{-1}" - ax.set_xlabel(rf"Raman shift $\mathrm{{[{_units}]}}$") - ax.set_ylabel("Intensity") - - @staticmethod - def load(wavelength=785, key="NIST785_SRM2241"): - return CertificatesDict().get(wavelength, key) - - -class CertificatesDict: - """ - Class for loading y calibration certificates - - Usage: - Load single certificate - >>> cert = CertificatesDict.load(wavelength="785", key="NIST785_SRM2241") - >>> cert.plot() - - Load all certificates for wavelength. Iterate : - - >>> certificates = CertificatesDict() - ... plt.figure() - ... ax=None - ... certs = certificates.get_certificates(wavelength=532) - ... ax = certs[cert].plot(ax=ax) - >>> plt.show() - """ - - def __init__(self): - self.load_certificates( - os.path.join(os.path.dirname(__file__), "config_certs.json") - ) - - def load_certificates(self, file_path): - - with open(file_path, "r") as f: - certificates_data = json.load(f) - certificates = {} - self.laser_wl = [] - for wavelength, certificates_dict in certificates_data.items(): - certificates[wavelength] = {} - self.laser_wl.append(wavelength) - for certificate_id, certificate_data in certificates_dict.items(): - certificate_data["wavelength"] = int(wavelength) - certificate_data["id"] = certificate_id - try: - certificate = YCalibrationCertificate.model_construct( - **certificate_data - ) - certificates[wavelength][certificate_id] = certificate - except ValidationError as e: - print(f"Validation error for certificate {certificate_id}: {e}") - self.config_certs = certificates - - def get_laser_wl(self): - return self.laser_wl - - def get_certificates(self, wavelength=785): - return self.config_certs[str(wavelength)] - - def get(self, wavelength=532, key="NIST532_SRM2242a"): - return self.config_certs[str(wavelength)][key] - - @staticmethod - def load(wavelength=785, key="NIST785_SRM2241"): - return CertificatesDict().get(wavelength, key) - - -class YCalibrationComponent(CalibrationComponent): - """ - Class for relative intensity calibration. Uses response functions loaded in - ResponseFunctionEvaluator. Functions are defined in json file. - - Usage: - - >>> laser_wl = 785 - >>> ycert = YCalibrationCertificate.load(wavelength=785, key="SRM2241") - >>> ycal = YCalibrationComponent(laser_wl, reference_spe_xcalibrated=spe_srm,certificate=ycert) - >>> fig, ax = plt.subplots(1, 1, figsize=(15,4)) - >>> spe_srm.plot(ax=ax) - >>> spe_to_correct.plot(ax=ax) - >>> spe_ycalibrated = ycal.process(spe_to_correct) - >>> spe_ycalibrated.plot(label="y-calibrated",color="green",ax=ax.twinx()) - """ - - def __init__( - self, laser_wl, reference_spe_xcalibrated, certificate: YCalibrationCertificate - ): - super(YCalibrationComponent, self).__init__( - laser_wl, - spe=reference_spe_xcalibrated, - spe_units=None, - ref=certificate, - ref_units=None, - ) - self.laser_wl = laser_wl - self.spe = reference_spe_xcalibrated - self.ref = certificate - self.name = "Y calibration" - self.model = self.spe.spe_distribution(trim_range=certificate.raman_shift) - self.model_units = "cm-1" - - def derive_model(self, find_kw={}, fit_peaks_kw={}, should_fit=True, name=None): - # measured reference spectrum as distribution, so we can resample - self.model = self.spe.spe_distribution(trim_range=self.ref.raman_shift) - - def safe_divide(self, spe_to_correct, spe_reference_resampled): - numerator = spe_to_correct.y - # numerator_noise = spe_to_correct.y_noise - - scaling_denominator = spe_reference_resampled.y / self.ref.Y( - spe_reference_resampled.x - ) - # print(np.median(scaling_denominator), np.mean(scaling_denominator), np.std(scaling_denominator)) - - # denominator_noise = spe_reference_resampled.y_noise - denominator = spe_reference_resampled.y - # Create a mask for dividing only where value is above noise ! - # mask = (abs(scaling_denominator) > 0) & (kind_of_snr > 0.9) - # mask = (abs(denominator) > abs(denominator_noise)) & - mask = (abs(scaling_denominator) > 0) & (numerator > 0) & (denominator > 0) - # & (abs(numerator) > numerator_noise) & (abs(scaling_denominator) > 0) - # & (abs(denominator-numerator) > min(denominator_noise,numerator_noise)) - result = np.zeros_like(numerator) - # Perform division where mask is true - result[mask] = numerator[mask] / scaling_denominator[mask] - return result - - def safe_mask(self, spe_to_correct, spe_reference_resampled): - ref_noise = spe_reference_resampled.y_noise_MAD() - return (spe_reference_resampled.y >= 0) & ( - abs(spe_reference_resampled.y) > ref_noise - ) - - def safe_factor(self, spe_to_correct, spe_reference_resampled): - numerator = spe_to_correct.y - # numerator_noise = spe_to_correct.y_noise - - Y = self.ref.Y(spe_reference_resampled.x) - mask = self.safe_mask(spe_to_correct, spe_reference_resampled) - if mask is None: - scaling_factor = Y / spe_reference_resampled.y - else: - scaling_factor = np.zeros_like(spe_reference_resampled.y) - scaling_factor[mask] = Y[mask] / spe_reference_resampled.y[mask] - - result = numerator * scaling_factor - return result - - def process(self, old_spe: Spectrum, spe_units="nm", convert_back=False): - # resample using probability density function - _tmp = self.model.pdf(old_spe.x) - _tmp = ( - _tmp * max(self.spe.y) / max(_tmp) - ) # pdf sampling is normalized to area unity, scaling back - spe_reference_resampled = Spectrum(old_spe.x, _tmp) - # new_spe = Spectrum(old_spe.x,self.safe_divide(old_spe,spe_reference_resampled)) - new_spe = Spectrum( - old_spe.x, self.safe_factor(old_spe, spe_reference_resampled) - ) - return new_spe - - def _plot(self, ax, **kwargs): - if self.ref is not None: - self.ref.plot(ax, **kwargs) - - -class CalibrationModel(ProcessingModel, Plottable): - """ - A class representing a calibration model for Raman spectrum. - """ - - def __init__(self, laser_wl: int): - """ - Initializes a CalibrationModel instance. - - Args: - laser_wl: - The wavelength of the laser used for calibration. - - Example: - ```python - # Create an instance of CalibrationModel - import ramanchada2 as rc2 - import ramanchada2.misc.constants as rc2const - from ramanchada2.protocols.calibration import CalibrationModel - laser_wl=785 - calmodel = CalibrationModel.calibration_model_factory( - laser_wl, - spe_neon, - spe_sil, - neon_wl=rc2const.NEON_WL[laser_wl], - find_kw={"wlen": 200, "width": 1}, - fit_peaks_kw={}, - should_fit=False, - ) - # Store (optional) - calmodel.save(modelfile) - # Load (optional) - calmodel = CalibrationModel.from_file(modelfile) - # Apply to new spectrum - calmodel.apply_calibration_x( - spe_to_calibrate, - spe_units="cm-1" - ) - ``` - """ - super(ProcessingModel, self).__init__() - super(Plottable, self).__init__() - self.set_laser_wavelength(laser_wl) - self.prominence_coeff = 3 - - def set_laser_wavelength(self, laser_wl): - """ - Sets the wavelength of the laser used for calibration. - """ - self.clear() - self.laser_wl = laser_wl - - def clear(self): - """ - Clears the calibration model. - """ - self.laser_wl = None - self.components = [] - - def save(self, filename): - """ - Saves the calibration model to a file. - """ - with open(filename, "wb") as file: - pickle.dump(self, file) - - @staticmethod - def from_file(filename): - """ - Loads a calibration model from a file. - """ - with open(filename, "rb") as file: - return pickle.load(file) - - def derive_model_x( - self, - spe_neon: Spectrum, - spe_neon_units: str, - ref_neon: Dict, - ref_neon_units: str, - spe_sil: Spectrum, - spe_sil_units="cm-1", - ref_sil={520.45: 1}, - ref_sil_units="cm-1", - find_kw={"wlen": 200, "width": 1}, - fit_kw={}, - should_fit=False, - match_method="cluster" - ): - """ - Derives x-calibration models using Neon and Silicon spectra. - """ - self.components.clear() - if ref_neon_units is None: - ref_neon_units = "nm" - if spe_neon_units is None: - spe_neon_units = "cm-1" - find_kw["prominence"] = spe_neon.y_noise_MAD() * self.prominence_coeff - model_neon = self._derive_model_curve( - spe_neon, - rc2const.NEON_WL[self.laser_wl] if ref_neon is None else ref_neon, - spe_units=spe_neon_units, - ref_units=ref_neon_units, - find_kw=find_kw, - fit_peaks_kw=fit_kw, - should_fit=should_fit, - name="Neon calibration", - match_method=match_method - ) - spe_sil_ne_calib = model_neon.process( - spe_sil, spe_units=spe_sil_units, convert_back=False - ) - - find_kw["prominence"] = spe_sil_ne_calib.y_noise_MAD() * self.prominence_coeff - model_si = self._derive_model_zero( - spe_sil_ne_calib, - ref=ref_sil, - spe_units=model_neon.model_units, - ref_units=ref_sil_units, - find_kw=find_kw, - fit_peaks_kw=fit_kw, - should_fit=True, - name="Si laser zeroing", - ) - return (model_neon, model_si) - - def _derive_model_curve( - self, - spe: Spectrum, - ref=None, - spe_units="cm-1", - ref_units="nm", - find_kw=None, - fit_peaks_kw=None, - should_fit=False, - name="X calibration", - match_method="cluster" - ): - if find_kw is None: - find_kw = {} - if fit_peaks_kw is None: - fit_peaks_kw = {} - reference_peaks = rc2const.NEON_WL[self.laser_wl] if ref is None else ref - calibration_x = XCalibrationComponent( - self.laser_wl, - spe=spe, - spe_units=spe_units, - ref=reference_peaks, - ref_units=ref_units, - match_method=match_method - ) - calibration_x.derive_model( - find_kw=find_kw, fit_peaks_kw=fit_peaks_kw, should_fit=should_fit, name=name - ) - self.components.append(calibration_x) - return calibration_x - - def derive_model_curve( - self, - spe: Spectrum, - ref=None, - spe_units="cm-1", - ref_units="nm", - find_kw={}, - fit_peaks_kw={}, - should_fit=False, - name="X calibration", - match_method="cluster" - ): - warnings.warn( - message="Do not use directly. Use derive_model_x instead.", - category=DeprecationWarning, - ) - return self._derive_model_curve( - spe=spe, - ref=ref, - spe_units=spe_units, - ref_units=ref_units, - find_kw=find_kw, - fit_peaks_kw=fit_peaks_kw, - should_fit=should_fit, - name=name, - match_method=match_method - ) - - def _derive_model_zero( - self, - spe: Spectrum, - ref=None, - spe_units="nm", - ref_units="cm-1", - find_kw=None, - fit_peaks_kw=None, - should_fit=False, - name="Laser zeroing", - profile="Pearson4", - ): - if ref is None: - ref = {520.45: 1} - if find_kw is None: - find_kw = {} - if fit_peaks_kw is None: - fit_peaks_kw = {} - calibration_shift = LazerZeroingComponent( - self.laser_wl, spe, spe_units, ref, ref_units - ) - calibration_shift.profile = profile - calibration_shift.derive_model( - find_kw=find_kw, fit_peaks_kw=fit_peaks_kw, should_fit=should_fit, name=name - ) - _laser_zeroing_component = None - for i, item in enumerate(self.components): - if isinstance(item, LazerZeroingComponent): - self.components[i] = calibration_shift - _laser_zeroing_component = self.components[i] - if ( - _laser_zeroing_component is None - ): # LaserZeroing component should present only once - self.components.append(calibration_shift) - return calibration_shift - - def derive_model_zero( - self, - spe: Spectrum, - ref={520.45: 1}, - spe_units="nm", - ref_units="cm-1", - find_kw={}, - fit_peaks_kw={}, - should_fit=False, - name="X Shift", - profile="Pearson4", - ): - warnings.warn( - message="Do not use directly. Use derive_model_x instead.", - category=DeprecationWarning, - ) - return self._derive_model_zero( - spe=spe, - ref=ref, - spe_units=spe_units, - ref_units=ref_units, - find_kw=find_kw, - fit_peaks_kw=fit_peaks_kw, - should_fit=should_fit, - name=name, - profile=profile, - ) - - def apply_calibration_x(self, old_spe: Spectrum, spe_units="cm-1"): - # neon calibration converts to nm - # silicon calibration takes nm and converts back to cm-1 using laser zeroing - new_spe = old_spe - model_units = spe_units - for model in self.components: - # TODO: tbd find out if to convert units - if model.enabled: - new_spe = model.process(new_spe, model_units, convert_back=False) - model_units = model.model_units - return new_spe - - def plot(self, ax=None, label=" ", **kwargs) -> Axes: - if ax is None: - fig, ax = plt.subplots(1, 1, figsize=(12, 4)) - self._plot(ax, **kwargs) - return ax - - def _plot(self, ax, **kwargs): - for index, model in enumerate(self.components): - model._plot(ax, **kwargs) - break - - @staticmethod - def calibration_model_factory( - laser_wl, - spe_neon: Spectrum, - spe_sil: Spectrum, - neon_wl=None, - find_kw=None, - fit_peaks_kw=None, - should_fit=False, - prominence_coeff=3, - match_method="cluster", - si_profile="Pearson4" - - ): - if neon_wl is None: - neon_wl = rc2const.NEON_WL[laser_wl] - if find_kw is None: - find_kw = {"wlen": 100, "width": 1} - if fit_peaks_kw is None: - fit_peaks_kw = {} - calmodel = CalibrationModel(laser_wl) - calmodel.prominence_coeff = prominence_coeff - find_kw["prominence"] = spe_neon.y_noise_MAD() * calmodel.prominence_coeff - model_neon = calmodel.derive_model_curve( - spe=spe_neon, - ref=neon_wl, - spe_units="cm-1", - ref_units="nm", - find_kw=find_kw, - fit_peaks_kw=fit_peaks_kw, - should_fit=should_fit, - name="Neon calibration", - match_method=match_method - ) - spe_sil_ne_calib = model_neon.process( - spe_sil, spe_units="cm-1", convert_back=False - ) - find_kw["prominence"] = ( - spe_sil_ne_calib.y_noise_MAD() * calmodel.prominence_coeff - ) - calmodel.derive_model_zero( - spe=spe_sil_ne_calib, - ref={520.45: 1}, - spe_units=model_neon.model_units, - ref_units="cm-1", - find_kw=find_kw, - fit_peaks_kw=fit_peaks_kw, - should_fit=True, - name="Si calibration", - profile=si_profile - ) - return calmodel - - -class CustomRBFInterpolator(RBFInterpolator): - def __init__(self, *args, **kwargs): - super().__init__(*args, **kwargs) - - @staticmethod - def from_dict(rbf_dict={}): - interpolator_loaded = CustomRBFInterpolator( - rbf_dict["y"], - rbf_dict["d"], - epsilon=rbf_dict["epsilon"], - smoothing=rbf_dict["smoothing"], - kernel=rbf_dict["kernel"], - neighbors=rbf_dict["neighbors"], - ) - interpolator_loaded._coeffs = rbf_dict["coeffs"] - interpolator_loaded._scale = rbf_dict["scale"] - interpolator_loaded._shift = rbf_dict["shift"] - return interpolator_loaded - - def to_dict(self): - return { - "y": self.y, - "d": self.d, - "d_dtype": self.d_dtype, - "d_shape": self.d_shape, - "epsilon": self.epsilon, - "kernel": self.kernel, - "neighbors": self.neighbors, - "powers": self.powers, - "smoothing": self.smoothing, - "coeffs": self._coeffs, - "scale": self._scale, - "shift": self._shift, - } - - def plot(self, ax): - ax.scatter(self.y.reshape(-1), self.d.reshape(-1), marker="+", color="blue", label="Matched peaks") - - x_range = np.linspace(self.y.min(), self.y.max(), 100) - predicted_x = self(x_range.reshape(-1, 1)) - - ax.plot(x_range, predicted_x, color="red", linestyle='-', label="Calibration curve") - ax.set_xlabel("Ne peaks, nm") - ax.set_ylabel("Reference peaks, nm") - ax.grid(which='both', linestyle='--', linewidth=0.5, color='gray') - ax.legend() - - def __str__(self): - return ( - f"Calibration curve {len(self.y)} points) {self.kernel}" - - ) diff --git a/src/ramanchada2/protocols/calibration/CalibrationComponent.py b/src/ramanchada2/protocols/calibration/CalibrationComponent.py new file mode 100644 index 00000000..9e4683ff --- /dev/null +++ b/src/ramanchada2/protocols/calibration/CalibrationComponent.py @@ -0,0 +1,128 @@ +from ramanchada2.spectrum import Spectrum +from ramanchada2.misc.plottable import Plottable +import pandas as pd +import numpy as np +import matplotlib.pyplot as plt +from matplotlib.axes import Axes +import logging + + +logger = logging.getLogger(__name__) + + +class ProcessingModel: + def __init__(self): + pass + + +class CalibrationComponent(Plottable): + def __init__(self, laser_wl, spe, spe_units, ref, ref_units, sample=None): + super(CalibrationComponent, self).__init__() + self.laser_wl = laser_wl + self.spe = spe + self.spe_units = spe_units + self.ref = ref + self.ref_units = ref_units + self.name = "not estimated" + self.model = None + self.model_units = None + self.peaks = None + self.sample = sample + self.enabled = True + self.fit_res = None + + def set_model(self, model, model_units, peaks, name=None): + self.model = model + self.model_units = model_units + self.peaks = peaks + self.name = "calibration component" if name is None else name + + def __str__(self): + return ( + f"{self.name} spe ({self.spe_units}) reference ({self.ref_units}) " + f"model ({self.model_units}) {self.model}" + ) + + def convert_units(self, old_spe, spe_unit="cm-1", newspe_unit="nm", laser_wl=None): + if laser_wl is None: + laser_wl = self.laser_wl + logger.debug( + "convert laser_wl {} {} --> {}".format(laser_wl, spe_unit, newspe_unit) + ) + if spe_unit != newspe_unit: + new_spe = old_spe.__copy__() + if spe_unit == "nm": + new_spe = old_spe.abs_nm_to_shift_cm_1_filter( + laser_wave_length_nm=laser_wl + ) + elif spe_unit == "cm-1": + new_spe = old_spe.shift_cm_1_to_abs_nm_filter( + laser_wave_length_nm=laser_wl + ) + else: + raise Exception( + "Unsupported conversion {} to {}", spe_unit, newspe_unit + ) + else: + new_spe = old_spe.__copy__() + # new_spe = old_spe.__copy__() + return new_spe + + def process(self, old_spe: Spectrum, spe_units="cm-1", convert_back=False): + raise NotImplementedError(self) + + def derive_model(self, find_kw={}, fit_peaks_kw={}, should_fit=False, name=None): + raise NotImplementedError(self) + + def plot(self, ax=None, label=" ", **kwargs) -> Axes: + if ax is None: + fig, ax = plt.subplots(3, 1, figsize=(12, 4)) + elif not isinstance(ax, (list, np.ndarray)): + raise ValueError( + "ax should be a list or array of Axes when creating multiple subplots." + ) + + self._plot(ax[0], label=label, **kwargs) + ax[0].legend() + return ax + + def _plot(self, ax, **kwargs): + pass + + def __getstate__(self): + # Return the state to be serialized, excluding transient_data + state = self.__dict__.copy() + del state["fit_res"] + return state + + def __setstate__(self, state): + self.__dict__.update(state) + self.fit_res = None + + def fitres2df(self, spe): + df = pd.DataFrame( + list( + zip( + self.fit_res.centers, + self.fit_res.fwhm, + np.array( + [ + v + for peak in self.fit_res + for k, v in peak.values.items() + if k.endswith("height") + ] + ), + np.array( + [ + v + for peak in self.fit_res + for k, v in peak.values.items() + if k.endswith("amplitude") + ] + ), + ) + ), + columns=["center", "fwhm", "height", "amplitude"], + ) + return df[(df["center"] >= min(spe.x)) & (df["center"] <= max(spe.x))] diff --git a/src/ramanchada2/protocols/calibration/CalibrationModel.py b/src/ramanchada2/protocols/calibration/CalibrationModel.py new file mode 100644 index 00000000..58dcb580 --- /dev/null +++ b/src/ramanchada2/protocols/calibration/CalibrationModel.py @@ -0,0 +1,339 @@ +from ramanchada2.misc.plottable import Plottable +from ramanchada2.spectrum import Spectrum +import ramanchada2.misc.constants as rc2const +import pickle +from .CalibrationComponent import ProcessingModel +from .XCalibrationComponent import XCalibrationComponent +from .LazerZeroingComponent import LazerZeroingComponent + +from typing import Dict +import warnings + +import matplotlib.pyplot as plt +from matplotlib.axes import Axes + + +class CalibrationModel(ProcessingModel, Plottable): + """ + A class representing a calibration model for Raman spectrum. + """ + + def __init__(self, laser_wl: int): + """ + Initializes a CalibrationModel instance. + + Args: + laser_wl: + The wavelength of the laser used for calibration. + + Example: + ```python + # Create an instance of CalibrationModel + import ramanchada2 as rc2 + import ramanchada2.misc.constants as rc2const + from ramanchada2.protocols.calibration import CalibrationModel + laser_wl=785 + calmodel = CalibrationModel.calibration_model_factory( + laser_wl, + spe_neon, + spe_sil, + neon_wl=rc2const.NEON_WL[laser_wl], + find_kw={"wlen": 200, "width": 1}, + fit_peaks_kw={}, + should_fit=False, + ) + # Store (optional) + calmodel.save(modelfile) + # Load (optional) + calmodel = CalibrationModel.from_file(modelfile) + # Apply to new spectrum + calmodel.apply_calibration_x( + spe_to_calibrate, + spe_units="cm-1" + ) + ``` + """ + super(ProcessingModel, self).__init__() + super(Plottable, self).__init__() + self.set_laser_wavelength(laser_wl) + self.prominence_coeff = 3 + + def set_laser_wavelength(self, laser_wl): + """ + Sets the wavelength of the laser used for calibration. + """ + self.clear() + self.laser_wl = laser_wl + + def clear(self): + """ + Clears the calibration model. + """ + self.laser_wl = None + self.components = [] + + def save(self, filename): + """ + Saves the calibration model to a file. + """ + with open(filename, "wb") as file: + pickle.dump(self, file) + + @staticmethod + def from_file(filename): + """ + Loads a calibration model from a file. + """ + with open(filename, "rb") as file: + return pickle.load(file) + + def derive_model_x( + self, + spe_neon: Spectrum, + spe_neon_units: str, + ref_neon: Dict, + ref_neon_units: str, + spe_sil: Spectrum, + spe_sil_units="cm-1", + ref_sil={520.45: 1}, + ref_sil_units="cm-1", + find_kw={"wlen": 200, "width": 1}, + fit_kw={}, + should_fit=False, + match_method="cluster" + ): + """ + Derives x-calibration models using Neon and Silicon spectra. + """ + self.components.clear() + if ref_neon_units is None: + ref_neon_units = "nm" + if spe_neon_units is None: + spe_neon_units = "cm-1" + find_kw["prominence"] = spe_neon.y_noise_MAD() * self.prominence_coeff + model_neon = self._derive_model_curve( + spe_neon, + rc2const.NEON_WL[self.laser_wl] if ref_neon is None else ref_neon, + spe_units=spe_neon_units, + ref_units=ref_neon_units, + find_kw=find_kw, + fit_peaks_kw=fit_kw, + should_fit=should_fit, + name="Neon calibration", + match_method=match_method + ) + spe_sil_ne_calib = model_neon.process( + spe_sil, spe_units=spe_sil_units, convert_back=False + ) + + find_kw["prominence"] = spe_sil_ne_calib.y_noise_MAD() * self.prominence_coeff + model_si = self._derive_model_zero( + spe_sil_ne_calib, + ref=ref_sil, + spe_units=model_neon.model_units, + ref_units=ref_sil_units, + find_kw=find_kw, + fit_peaks_kw=fit_kw, + should_fit=True, + name="Si laser zeroing", + ) + return (model_neon, model_si) + + def _derive_model_curve( + self, + spe: Spectrum, + ref=None, + spe_units="cm-1", + ref_units="nm", + find_kw=None, + fit_peaks_kw=None, + should_fit=False, + name="X calibration", + match_method="cluster" + ): + if find_kw is None: + find_kw = {} + if fit_peaks_kw is None: + fit_peaks_kw = {} + reference_peaks = rc2const.NEON_WL[self.laser_wl] if ref is None else ref + calibration_x = XCalibrationComponent( + self.laser_wl, + spe=spe, + spe_units=spe_units, + ref=reference_peaks, + ref_units=ref_units, + match_method=match_method + ) + calibration_x.derive_model( + find_kw=find_kw, fit_peaks_kw=fit_peaks_kw, should_fit=should_fit, name=name + ) + self.components.append(calibration_x) + return calibration_x + + def derive_model_curve( + self, + spe: Spectrum, + ref=None, + spe_units="cm-1", + ref_units="nm", + find_kw={}, + fit_peaks_kw={}, + should_fit=False, + name="X calibration", + match_method="cluster" + ): + warnings.warn( + message="Do not use directly. Use derive_model_x instead.", + category=DeprecationWarning, + ) + return self._derive_model_curve( + spe=spe, + ref=ref, + spe_units=spe_units, + ref_units=ref_units, + find_kw=find_kw, + fit_peaks_kw=fit_peaks_kw, + should_fit=should_fit, + name=name, + match_method=match_method + ) + + def _derive_model_zero( + self, + spe: Spectrum, + ref=None, + spe_units="nm", + ref_units="cm-1", + find_kw=None, + fit_peaks_kw=None, + should_fit=False, + name="Laser zeroing", + profile="Pearson4", + ): + if ref is None: + ref = {520.45: 1} + if find_kw is None: + find_kw = {} + if fit_peaks_kw is None: + fit_peaks_kw = {} + calibration_shift = LazerZeroingComponent( + self.laser_wl, spe, spe_units, ref, ref_units + ) + calibration_shift.profile = profile + calibration_shift.derive_model( + find_kw=find_kw, fit_peaks_kw=fit_peaks_kw, should_fit=should_fit, name=name + ) + _laser_zeroing_component = None + for i, item in enumerate(self.components): + if isinstance(item, LazerZeroingComponent): + self.components[i] = calibration_shift + _laser_zeroing_component = self.components[i] + if ( + _laser_zeroing_component is None + ): # LaserZeroing component should present only once + self.components.append(calibration_shift) + return calibration_shift + + def derive_model_zero( + self, + spe: Spectrum, + ref={520.45: 1}, + spe_units="nm", + ref_units="cm-1", + find_kw={}, + fit_peaks_kw={}, + should_fit=False, + name="X Shift", + profile="Pearson4", + ): + warnings.warn( + message="Do not use directly. Use derive_model_x instead.", + category=DeprecationWarning, + ) + return self._derive_model_zero( + spe=spe, + ref=ref, + spe_units=spe_units, + ref_units=ref_units, + find_kw=find_kw, + fit_peaks_kw=fit_peaks_kw, + should_fit=should_fit, + name=name, + profile=profile, + ) + + def apply_calibration_x(self, old_spe: Spectrum, spe_units="cm-1"): + # neon calibration converts to nm + # silicon calibration takes nm and converts back to cm-1 using laser zeroing + new_spe = old_spe + model_units = spe_units + for model in self.components: + # TODO: tbd find out if to convert units + if model.enabled: + new_spe = model.process(new_spe, model_units, convert_back=False) + model_units = model.model_units + return new_spe + + def plot(self, ax=None, label=" ", **kwargs) -> Axes: + if ax is None: + fig, ax = plt.subplots(1, 1, figsize=(12, 4)) + self._plot(ax, **kwargs) + return ax + + def _plot(self, ax, **kwargs): + for index, model in enumerate(self.components): + model._plot(ax, **kwargs) + break + + @staticmethod + def calibration_model_factory( + laser_wl, + spe_neon: Spectrum, + spe_sil: Spectrum, + neon_wl=None, + find_kw=None, + fit_peaks_kw=None, + should_fit=False, + prominence_coeff=3, + match_method="cluster", + si_profile="Pearson4" + + ): + if neon_wl is None: + neon_wl = rc2const.NEON_WL[laser_wl] + if find_kw is None: + find_kw = {"wlen": 100, "width": 1} + if fit_peaks_kw is None: + fit_peaks_kw = {} + calmodel = CalibrationModel(laser_wl) + calmodel.prominence_coeff = prominence_coeff + find_kw["prominence"] = spe_neon.y_noise_MAD() * calmodel.prominence_coeff + model_neon = calmodel.derive_model_curve( + spe=spe_neon, + ref=neon_wl, + spe_units="cm-1", + ref_units="nm", + find_kw=find_kw, + fit_peaks_kw=fit_peaks_kw, + should_fit=should_fit, + name="Neon calibration", + match_method=match_method + ) + spe_sil_ne_calib = model_neon.process( + spe_sil, spe_units="cm-1", convert_back=False + ) + find_kw["prominence"] = ( + spe_sil_ne_calib.y_noise_MAD() * calmodel.prominence_coeff + ) + calmodel.derive_model_zero( + spe=spe_sil_ne_calib, + ref={520.45: 1}, + spe_units=model_neon.model_units, + ref_units="cm-1", + find_kw=find_kw, + fit_peaks_kw=fit_peaks_kw, + should_fit=True, + name="Si calibration", + profile=si_profile + ) + return calmodel diff --git a/src/ramanchada2/protocols/calibration/LazerZeroingComponent.py b/src/ramanchada2/protocols/calibration/LazerZeroingComponent.py new file mode 100644 index 00000000..fd5e2b64 --- /dev/null +++ b/src/ramanchada2/protocols/calibration/LazerZeroingComponent.py @@ -0,0 +1,77 @@ +from .CalibrationComponent import CalibrationComponent +from ramanchada2.spectrum import Spectrum +import logging + +logger = logging.getLogger(__name__) + + +class LazerZeroingComponent(CalibrationComponent): + def __init__( + self, + laser_wl, + spe, + spe_units="nm", + ref={520.45: 1}, + ref_units="cm-1", + sample="Silicon", + ): + super(LazerZeroingComponent, self).__init__( + laser_wl, spe, spe_units, ref, ref_units, sample + ) + self.profile = "Pearson4" + + def derive_model(self, find_kw=None, fit_peaks_kw=None, should_fit=True, name=None): + if find_kw is None: + find_kw = {} + if fit_peaks_kw is None: + fit_peaks_kw = {} + + cand = self.spe.find_peak_multipeak(**find_kw) + logger.debug(self.name, cand) + self.fit_res = self.spe.fit_peak_multimodel( + profile=self.profile, candidates=cand, **fit_peaks_kw + ) + # df = self.fit_res.to_dataframe_peaks() + df = self.fitres2df(self.spe) + # highest peak first + df = df.sort_values(by="height", ascending=False) + # df = df.sort_values(by='amplitude', ascending=False) + if df.empty: + raise Exception("No peaks found") + else: + if "position" in df.columns: + zero_peak_nm = df.iloc[0]["position"] + elif "center" in df.columns: + zero_peak_nm = df.iloc[0]["center"] + # https://www.elodiz.com/calibration-and-validation-of-raman-instruments/ + zero_peak_cm1 = self.zero_nm_to_shift_cm_1(zero_peak_nm, zero_peak_nm, list(self.ref.keys())[0]) + self.set_model( + zero_peak_nm, "nm", df, "Laser zeroing using {} nm {} cm-1 ({}) ". + format(zero_peak_nm, zero_peak_cm1, self.profile + ) + ) + logger.info(self.name, f"peak {self.profile} at {zero_peak_nm} nm") + # laser_wl should be calculated based on the peak position and set instead of the nominal + + def zero_nm_to_shift_cm_1(self, wl, zero_pos_nm, zero_ref_cm_1=520.45): + return 1e7 * (1 / zero_pos_nm - 1 / wl) + zero_ref_cm_1 + + # we do not do shift (as initially implemented) + # just convert the spectrum nm->cm-1 using the Si measured peak in nm and reference in cm-1 + # https://www.elodiz.com/calibration-and-validation-of-raman-instruments/ + def process(self, old_spe: Spectrum, spe_units="nm", convert_back=False): + wl_si_ref = list(self.ref.keys())[0] + logger.debug(self.name, "process", self.model, wl_si_ref) + new_x = self.zero_nm_to_shift_cm_1(old_spe.x, self.model, wl_si_ref) + new_spe = Spectrum(x=new_x, y=old_spe.y, metadata=old_spe.meta) + # new_spe = old_spe.lazer_zero_nm_to_shift_cm_1(self.model, wl_si_ref) + # print("old si", old_spe.x) + # print("new si", new_spe.x) + return new_spe + + def _plot(self, ax, **kwargs): + # spe_sil.plot(label="{} original".format(si_tag),ax=ax) + # spe_sil_calib.plot(ax = ax,label="{} laser zeroed".format(si_tag),fmt=":") + # ax.set_xlim(520.45-50,520.45+50) + # ax.set_xlabel("cm-1") + pass diff --git a/src/ramanchada2/protocols/calibration/XCalibrationComponent.py b/src/ramanchada2/protocols/calibration/XCalibrationComponent.py new file mode 100644 index 00000000..2df0eab3 --- /dev/null +++ b/src/ramanchada2/protocols/calibration/XCalibrationComponent.py @@ -0,0 +1,228 @@ +import numpy as np +from .CalibrationComponent import CalibrationComponent +from ramanchada2.misc.utils.matchsets import match_peaks, match_peaks_cluster, cost_function_position +from ramanchada2.spectrum import Spectrum +from scipy.interpolate import RBFInterpolator +import logging + +logger = logging.getLogger(__name__) + + +class XCalibrationComponent(CalibrationComponent): + def __init__(self, laser_wl, spe, spe_units, ref, ref_units, sample="Neon", match_method="cluster"): + super(XCalibrationComponent, self).__init__( + laser_wl, spe, spe_units, ref, ref_units, sample + ) + self.spe_pos_dict = None + self.match_method = match_method + self.cost_function = cost_function_position + + # @staticmethod + # def from_json(filepath: str): + # rbf_intrpolator, other_data = load_xcalibration_model(filepath) + # calibration_x = XCalibrationComponent(laser_wl, spe, spe_units, ref, ref_units) + # calibration_x.model = rbf_intrpolator + # return calibration_x + + def process(self, old_spe: Spectrum, spe_units="cm-1", convert_back=False): + logger.debug( + "convert spe_units {} --> model units {}".format( + spe_units, self.model_units + ) + ) + new_spe = self.convert_units(old_spe, spe_units, self.model_units) + logger.debug("process", self) + if self.model is None: + return new_spe + elif self.enabled: + if isinstance(self.model, RBFInterpolator): + new_spe.x = self.model(new_spe.x.reshape(-1, 1)) + elif isinstance(self.model, float): + new_spe.x = new_spe.x + self.model + else: + return new_spe + + if convert_back: + return self.convert_units(new_spe, self.model_units, spe_units) + else: + return new_spe + + def _plot(self, ax, **kwargs): + ax.stem( + self.spe_pos_dict.keys(), + self.spe_pos_dict.values(), + linefmt="b-", + basefmt=" ", + label="{} peaks".format(self.sample), + ) + ax.twinx().stem( + self.ref.keys(), + self.ref.values(), + linefmt="r-", + basefmt=" ", + label="Reference {}".format(self.sample), + ) + + if self.ref_units == "cm-1": + _units = r"$\mathrm{{[{self.ref_units}]}}$" + else: + _units = self.ref_units + ax.set_xlabel(_units) + ax.legend() + + def _plot_peaks(self, ax, **kwargs): + # self.model.peaks + pass + # fig, ax = plt.subplots(3,1,figsize=(12,4)) + # spe.plot(ax=ax[0].twinx(),label=spe_units) + # spe_to_process.plot(ax=ax[1],label=ref_units) + + def derive_model( + self, find_kw=None, fit_peaks_kw=None, should_fit=False, name=None + ): + if find_kw is None: + find_kw = {"sharpening": None} + if fit_peaks_kw is None: + fit_peaks_kw = {} + # convert to ref_units + logger.debug( + "[{}]: convert spe_units {} to ref_units {}".format( + self.name, self.spe_units, self.ref_units + ) + ) + peaks_df = self.fit_peaks(find_kw, fit_peaks_kw, should_fit) + x_spe, x_reference, x_distance, cost_matrix, df = self.match_peaks(threshold_max_distance=8, return_df=True) + + self.cost_matrix = cost_matrix + self.matched_peaks = df + # if df is None: + # self.matched_peaks = pd.DataFrame({ + # 'spe': x_spe, + # 'reference': x_reference, + # 'distances': x_distance + # }) + + sum_of_differences = np.sum(np.abs(x_spe - x_reference)) / len(x_spe) + logger.debug( + "sum_of_differences original {} {}".format( + sum_of_differences, self.ref_units + ) + ) + if len(x_reference) == 1: + _offset = x_reference[0] - x_spe[0] + logger.debug( + "ref", + x_reference[0], + "sample", + x_spe[0], + "offset", + _offset, + self.ref_units, + ) + self.set_model(_offset, self.ref_units, peaks_df, name) + else: + try: + kwargs = {"kernel": "thin_plate_spline"} + interp = CustomRBFInterpolator( + x_spe.reshape(-1, 1), x_reference, **kwargs + ) + self.set_model(interp, self.ref_units, peaks_df, name) + except Exception as err: + raise err + + def match_peaks(self, threshold_max_distance=9, return_df=False): + if self.match_method == "cluster": + x_spe, x_reference, x_distance, df = match_peaks_cluster( + self.spe_pos_dict, self.ref + ) + cost_matrix = None + return x_spe, x_reference, x_distance, cost_matrix, df + else: + try: + x_spe, x_reference, x_distance, cost_matrix, df = match_peaks( + self.spe_pos_dict, self.ref, threshold_max_distance=threshold_max_distance, df=return_df, + cost_func=self.cost_function + ) + return x_spe, x_reference, x_distance, cost_matrix, df + except Exception as err: + raise err + + def fit_peaks(self, find_kw, fit_peaks_kw, should_fit): + spe_to_process = self.convert_units(self.spe, self.spe_units, self.ref_units) + logger.debug("max x", max(spe_to_process.x), self.ref_units) + + peaks_df = None + self.fit_res = None + + # instead of fit_peak_positions - we don't want movmin here + # baseline removal might be done during preprocessing + center_err_threshold = 0.5 + find_kw.update(dict(sharpening=None)) + cand = spe_to_process.find_peak_multipeak(**find_kw) + # print(cand.get_ampl_pos_fwhm()) + + self.fit_res = spe_to_process.fit_peak_multimodel( + profile="Gaussian", candidates=cand, **fit_peaks_kw, no_fit=not should_fit + ) + peaks_df = self.fitres2df(spe_to_process) + # self.fit_res.to_dataframe_peaks() + if should_fit: + pos, amp = self.fit_res.center_amplitude(threshold=center_err_threshold) + self.spe_pos_dict = dict(zip(pos, amp)) + else: + self.spe_pos_dict = cand.get_pos_ampl_dict() + return peaks_df + + +class CustomRBFInterpolator(RBFInterpolator): + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + + @staticmethod + def from_dict(rbf_dict={}): + interpolator_loaded = CustomRBFInterpolator( + rbf_dict["y"], + rbf_dict["d"], + epsilon=rbf_dict["epsilon"], + smoothing=rbf_dict["smoothing"], + kernel=rbf_dict["kernel"], + neighbors=rbf_dict["neighbors"], + ) + interpolator_loaded._coeffs = rbf_dict["coeffs"] + interpolator_loaded._scale = rbf_dict["scale"] + interpolator_loaded._shift = rbf_dict["shift"] + return interpolator_loaded + + def to_dict(self): + return { + "y": self.y, + "d": self.d, + "d_dtype": self.d_dtype, + "d_shape": self.d_shape, + "epsilon": self.epsilon, + "kernel": self.kernel, + "neighbors": self.neighbors, + "powers": self.powers, + "smoothing": self.smoothing, + "coeffs": self._coeffs, + "scale": self._scale, + "shift": self._shift, + } + + def plot(self, ax): + ax.scatter(self.y.reshape(-1), self.d.reshape(-1), marker="+", color="blue", label="Matched peaks") + + x_range = np.linspace(self.y.min(), self.y.max(), 100) + predicted_x = self(x_range.reshape(-1, 1)) + + ax.plot(x_range, predicted_x, color="red", linestyle='-', label="Calibration curve") + ax.set_xlabel("Ne peaks, nm") + ax.set_ylabel("Reference peaks, nm") + ax.grid(which='both', linestyle='--', linewidth=0.5, color='gray') + ax.legend() + + def __str__(self): + return ( + f"Calibration curve {len(self.y)} points) {self.kernel}" + + ) diff --git a/src/ramanchada2/protocols/calibration/YCalibrationCertificate.py b/src/ramanchada2/protocols/calibration/YCalibrationCertificate.py new file mode 100644 index 00000000..3a536850 --- /dev/null +++ b/src/ramanchada2/protocols/calibration/YCalibrationCertificate.py @@ -0,0 +1,132 @@ +from typing import Optional, Tuple +from ramanchada2.misc.plottable import Plottable +from pydantic import BaseModel, ValidationError +import json +import os.path +import numpy as np + + +class YCalibrationCertificate(BaseModel, Plottable): + """ + Class for intensity calibration certificates + + Usage: + + 1. Use for specific SRM + >>> cert = YCalibrationCertificate( + ... id="NIST785_SRM2241", + ... description="optical glass", + ... url="https://tsapps.nist.gov/srmext/certificates/2241.pdf", + ... wavelength=785, + ... params="A0 = 9.71937e-02, A1 = 2.28325e-04, A2 = -5.86762e-08, A3 = 2.16023e-10, A4 = -9.77171e-14, A5 = 1.15596e-17", + ... equation="A0 + A1 * x + A2 * x**2 + A3 * x**3 + A4 * x**4 + A5 * x**5", + ... temperature_c=(20, 25), + ... raman_shift=(200, 3500) + ... ) + ... + >>> cert.plot() + + """ # noqa: E501 + + id: str + description: Optional[str] + url: Optional[str] + wavelength: int + params: str + equation: str + temperature_c: Optional[Tuple[int, int]] + raman_shift: Optional[Tuple[int, int]] + + @property + def response_function(self): + local_vars = {} + for param in self.params.split(","): + key, value = param.split("=") + key = key.strip() + value = value.strip() + local_vars[key] = eval(value) + + def evaluate_expression(x_value): + local_vars["x"] = x_value + return eval(self.equation, {"np": np}, local_vars) + + return evaluate_expression + + def Y(self, x_value): + return self.response_function(x_value) + + def _plot(self, ax, **kwargs): + if self.raman_shift is None: + x = np.linspace(100, 4000) + else: + x = np.linspace(self.raman_shift[0], self.raman_shift[1]) + kwargs.pop("label", None) + ax.plot( + x, self.Y(x), label="{} ({}nm)".format(self.id, self.wavelength), **kwargs + ) + _units = "cm^{-1}" + ax.set_xlabel(rf"Raman shift $\mathrm{{[{_units}]}}$") + ax.set_ylabel("Intensity") + + @staticmethod + def load(wavelength=785, key="NIST785_SRM2241"): + return CertificatesDict().get(wavelength, key) + + +class CertificatesDict: + """ + Class for loading y calibration certificates + + Usage: + Load single certificate + >>> cert = CertificatesDict.load(wavelength="785", key="NIST785_SRM2241") + >>> cert.plot() + + Load all certificates for wavelength. Iterate : + + >>> certificates = CertificatesDict() + ... plt.figure() + ... ax=None + ... certs = certificates.get_certificates(wavelength=532) + ... ax = certs[cert].plot(ax=ax) + >>> plt.show() + """ + + def __init__(self): + self.load_certificates( + os.path.join(os.path.dirname(__file__), "config_certs.json") + ) + + def load_certificates(self, file_path): + + with open(file_path, "r") as f: + certificates_data = json.load(f) + certificates = {} + self.laser_wl = [] + for wavelength, certificates_dict in certificates_data.items(): + certificates[wavelength] = {} + self.laser_wl.append(wavelength) + for certificate_id, certificate_data in certificates_dict.items(): + certificate_data["wavelength"] = int(wavelength) + certificate_data["id"] = certificate_id + try: + certificate = YCalibrationCertificate.model_construct( + **certificate_data + ) + certificates[wavelength][certificate_id] = certificate + except ValidationError as e: + print(f"Validation error for certificate {certificate_id}: {e}") + self.config_certs = certificates + + def get_laser_wl(self): + return self.laser_wl + + def get_certificates(self, wavelength=785): + return self.config_certs[str(wavelength)] + + def get(self, wavelength=532, key="NIST532_SRM2242a"): + return self.config_certs[str(wavelength)][key] + + @staticmethod + def load(wavelength=785, key="NIST785_SRM2241"): + return CertificatesDict().get(wavelength, key) diff --git a/src/ramanchada2/protocols/calibration/YCalibrationComponent.py b/src/ramanchada2/protocols/calibration/YCalibrationComponent.py new file mode 100644 index 00000000..be6f95ad --- /dev/null +++ b/src/ramanchada2/protocols/calibration/YCalibrationComponent.py @@ -0,0 +1,103 @@ +import numpy as np +from ramanchada2.spectrum import Spectrum +from .CalibrationComponent import CalibrationComponent +from .YCalibrationCertificate import YCalibrationCertificate + + +class YCalibrationComponent(CalibrationComponent): + """ + Class for relative intensity calibration. Uses response functions loaded in + ResponseFunctionEvaluator. Functions are defined in json file. + + Usage: + + >>> laser_wl = 785 + >>> ycert = YCalibrationCertificate.load(wavelength=785, key="SRM2241") + >>> ycal = YCalibrationComponent(laser_wl, reference_spe_xcalibrated=spe_srm,certificate=ycert) + >>> fig, ax = plt.subplots(1, 1, figsize=(15,4)) + >>> spe_srm.plot(ax=ax) + >>> spe_to_correct.plot(ax=ax) + >>> spe_ycalibrated = ycal.process(spe_to_correct) + >>> spe_ycalibrated.plot(label="y-calibrated",color="green",ax=ax.twinx()) + """ + + def __init__( + self, laser_wl, reference_spe_xcalibrated, certificate: YCalibrationCertificate + ): + super(YCalibrationComponent, self).__init__( + laser_wl, + spe=reference_spe_xcalibrated, + spe_units=None, + ref=certificate, + ref_units=None, + ) + self.laser_wl = laser_wl + self.spe = reference_spe_xcalibrated + self.ref = certificate + self.name = "Y calibration" + self.model = self.spe.spe_distribution(trim_range=certificate.raman_shift) + self.model_units = "cm-1" + + def derive_model(self, find_kw={}, fit_peaks_kw={}, should_fit=True, name=None): + # measured reference spectrum as distribution, so we can resample + self.model = self.spe.spe_distribution(trim_range=self.ref.raman_shift) + + def safe_divide(self, spe_to_correct, spe_reference_resampled): + numerator = spe_to_correct.y + # numerator_noise = spe_to_correct.y_noise + + scaling_denominator = spe_reference_resampled.y / self.ref.Y( + spe_reference_resampled.x + ) + # print(np.median(scaling_denominator), np.mean(scaling_denominator), np.std(scaling_denominator)) + + # denominator_noise = spe_reference_resampled.y_noise + denominator = spe_reference_resampled.y + # Create a mask for dividing only where value is above noise ! + # mask = (abs(scaling_denominator) > 0) & (kind_of_snr > 0.9) + # mask = (abs(denominator) > abs(denominator_noise)) & + mask = (abs(scaling_denominator) > 0) & (numerator > 0) & (denominator > 0) + # & (abs(numerator) > numerator_noise) & (abs(scaling_denominator) > 0) + # & (abs(denominator-numerator) > min(denominator_noise,numerator_noise)) + result = np.zeros_like(numerator) + # Perform division where mask is true + result[mask] = numerator[mask] / scaling_denominator[mask] + return result + + def safe_mask(self, spe_to_correct, spe_reference_resampled): + ref_noise = spe_reference_resampled.y_noise_MAD() + return (spe_reference_resampled.y >= 0) & ( + abs(spe_reference_resampled.y) > ref_noise + ) + + def safe_factor(self, spe_to_correct, spe_reference_resampled): + numerator = spe_to_correct.y + # numerator_noise = spe_to_correct.y_noise + + Y = self.ref.Y(spe_reference_resampled.x) + mask = self.safe_mask(spe_to_correct, spe_reference_resampled) + if mask is None: + scaling_factor = Y / spe_reference_resampled.y + else: + scaling_factor = np.zeros_like(spe_reference_resampled.y) + scaling_factor[mask] = Y[mask] / spe_reference_resampled.y[mask] + + result = numerator * scaling_factor + return result + + def process(self, old_spe: Spectrum, spe_units="nm", convert_back=False): + # resample using probability density function + _tmp = self.model.pdf(old_spe.x) + _tmp = ( + _tmp * max(self.spe.y) / max(_tmp) + ) # pdf sampling is normalized to area unity, scaling back + spe_reference_resampled = Spectrum(old_spe.x, _tmp) + # new_spe = Spectrum(old_spe.x,self.safe_divide(old_spe,spe_reference_resampled)) + new_spe = Spectrum( + old_spe.x, self.safe_factor(old_spe, spe_reference_resampled) + ) + return new_spe + + def _plot(self, ax, **kwargs): + if self.ref is not None: + self.ref.plot(ax, **kwargs) diff --git a/src/ramanchada2/protocols/config_certs.json b/src/ramanchada2/protocols/calibration/config_certs.json similarity index 100% rename from src/ramanchada2/protocols/config_certs.json rename to src/ramanchada2/protocols/calibration/config_certs.json From 3193d98596ed82426b4ba1318e86730c66450f9b Mon Sep 17 00:00:00 2001 From: vedina Date: Thu, 31 Oct 2024 18:14:44 +0200 Subject: [PATCH 12/38] refactored flake8 happy --- src/ramanchada2/misc/utils/__init__.py | 3 +- src/ramanchada2/misc/utils/matchsets.py | 11 +- .../calibration/LazerZeroingComponent.py | 77 ------------- .../calibration/YCalibrationComponent.py | 103 ----------------- ...nComponent.py => calibration_component.py} | 0 ...librationModel.py => calibration_model.py} | 5 +- ...alibrationComponent.py => xcalibration.py} | 74 +++++++++++- ...ibrationCertificate.py => ycalibration.py} | 107 +++++++++++++++++- 8 files changed, 190 insertions(+), 190 deletions(-) delete mode 100644 src/ramanchada2/protocols/calibration/LazerZeroingComponent.py delete mode 100644 src/ramanchada2/protocols/calibration/YCalibrationComponent.py rename src/ramanchada2/protocols/calibration/{CalibrationComponent.py => calibration_component.py} (100%) rename src/ramanchada2/protocols/calibration/{CalibrationModel.py => calibration_model.py} (98%) rename src/ramanchada2/protocols/calibration/{XCalibrationComponent.py => xcalibration.py} (72%) rename src/ramanchada2/protocols/calibration/{YCalibrationCertificate.py => ycalibration.py} (50%) diff --git a/src/ramanchada2/misc/utils/__init__.py b/src/ramanchada2/misc/utils/__init__.py index ea6f080d..0c1b35c7 100644 --- a/src/ramanchada2/misc/utils/__init__.py +++ b/src/ramanchada2/misc/utils/__init__.py @@ -18,5 +18,6 @@ ) from .matchsets import ( - match_peaks,match_peaks_cluster + match_peaks, + match_peaks_cluster ) \ No newline at end of file diff --git a/src/ramanchada2/misc/utils/matchsets.py b/src/ramanchada2/misc/utils/matchsets.py index f879caf7..ba73e110 100644 --- a/src/ramanchada2/misc/utils/matchsets.py +++ b/src/ramanchada2/misc/utils/matchsets.py @@ -4,6 +4,7 @@ from scipy.optimize import linear_sum_assignment import numpy as np + def match_peaks_cluster(spe_pos_dict, ref): # Min-Max normalize the reference values min_value = min(ref.values()) @@ -116,7 +117,10 @@ def normalize_intensities(intensities): for i in range(num_peaks_a): for j in range(num_peaks_b): - cost = cost_func([peaks_a[i], intensities_a_normalized[i]], [peaks_b[j], intensities_b_normalized[j]], priority_weight=1) + cost = cost_func([peaks_a[i], intensities_a_normalized[i]], + [peaks_b[j], intensities_b_normalized[j]], + priority_weight=1 + ) cost_matrix[i, j] = cost return cost_matrix @@ -157,7 +161,10 @@ def match_peaks(spectrum_a_dict, spectrum_b_dict, threshold_max_distance=9, df=F >>> match_peaks(spectrum_a, spectrum_b) """ - cost_matrix = cost_matrix_peaks(spectrum_a_dict, spectrum_b_dict, threshold_max_distance=threshold_max_distance, cost_func=cost_function if cost_func is None else cost_func) + cost_matrix = cost_matrix_peaks(spectrum_a_dict, spectrum_b_dict, + threshold_max_distance=threshold_max_distance, + cost_func=cost_function if cost_func is None else cost_func + ) # Use the Hungarian algorithm to find the optimal assignment try: diff --git a/src/ramanchada2/protocols/calibration/LazerZeroingComponent.py b/src/ramanchada2/protocols/calibration/LazerZeroingComponent.py deleted file mode 100644 index fd5e2b64..00000000 --- a/src/ramanchada2/protocols/calibration/LazerZeroingComponent.py +++ /dev/null @@ -1,77 +0,0 @@ -from .CalibrationComponent import CalibrationComponent -from ramanchada2.spectrum import Spectrum -import logging - -logger = logging.getLogger(__name__) - - -class LazerZeroingComponent(CalibrationComponent): - def __init__( - self, - laser_wl, - spe, - spe_units="nm", - ref={520.45: 1}, - ref_units="cm-1", - sample="Silicon", - ): - super(LazerZeroingComponent, self).__init__( - laser_wl, spe, spe_units, ref, ref_units, sample - ) - self.profile = "Pearson4" - - def derive_model(self, find_kw=None, fit_peaks_kw=None, should_fit=True, name=None): - if find_kw is None: - find_kw = {} - if fit_peaks_kw is None: - fit_peaks_kw = {} - - cand = self.spe.find_peak_multipeak(**find_kw) - logger.debug(self.name, cand) - self.fit_res = self.spe.fit_peak_multimodel( - profile=self.profile, candidates=cand, **fit_peaks_kw - ) - # df = self.fit_res.to_dataframe_peaks() - df = self.fitres2df(self.spe) - # highest peak first - df = df.sort_values(by="height", ascending=False) - # df = df.sort_values(by='amplitude', ascending=False) - if df.empty: - raise Exception("No peaks found") - else: - if "position" in df.columns: - zero_peak_nm = df.iloc[0]["position"] - elif "center" in df.columns: - zero_peak_nm = df.iloc[0]["center"] - # https://www.elodiz.com/calibration-and-validation-of-raman-instruments/ - zero_peak_cm1 = self.zero_nm_to_shift_cm_1(zero_peak_nm, zero_peak_nm, list(self.ref.keys())[0]) - self.set_model( - zero_peak_nm, "nm", df, "Laser zeroing using {} nm {} cm-1 ({}) ". - format(zero_peak_nm, zero_peak_cm1, self.profile - ) - ) - logger.info(self.name, f"peak {self.profile} at {zero_peak_nm} nm") - # laser_wl should be calculated based on the peak position and set instead of the nominal - - def zero_nm_to_shift_cm_1(self, wl, zero_pos_nm, zero_ref_cm_1=520.45): - return 1e7 * (1 / zero_pos_nm - 1 / wl) + zero_ref_cm_1 - - # we do not do shift (as initially implemented) - # just convert the spectrum nm->cm-1 using the Si measured peak in nm and reference in cm-1 - # https://www.elodiz.com/calibration-and-validation-of-raman-instruments/ - def process(self, old_spe: Spectrum, spe_units="nm", convert_back=False): - wl_si_ref = list(self.ref.keys())[0] - logger.debug(self.name, "process", self.model, wl_si_ref) - new_x = self.zero_nm_to_shift_cm_1(old_spe.x, self.model, wl_si_ref) - new_spe = Spectrum(x=new_x, y=old_spe.y, metadata=old_spe.meta) - # new_spe = old_spe.lazer_zero_nm_to_shift_cm_1(self.model, wl_si_ref) - # print("old si", old_spe.x) - # print("new si", new_spe.x) - return new_spe - - def _plot(self, ax, **kwargs): - # spe_sil.plot(label="{} original".format(si_tag),ax=ax) - # spe_sil_calib.plot(ax = ax,label="{} laser zeroed".format(si_tag),fmt=":") - # ax.set_xlim(520.45-50,520.45+50) - # ax.set_xlabel("cm-1") - pass diff --git a/src/ramanchada2/protocols/calibration/YCalibrationComponent.py b/src/ramanchada2/protocols/calibration/YCalibrationComponent.py deleted file mode 100644 index be6f95ad..00000000 --- a/src/ramanchada2/protocols/calibration/YCalibrationComponent.py +++ /dev/null @@ -1,103 +0,0 @@ -import numpy as np -from ramanchada2.spectrum import Spectrum -from .CalibrationComponent import CalibrationComponent -from .YCalibrationCertificate import YCalibrationCertificate - - -class YCalibrationComponent(CalibrationComponent): - """ - Class for relative intensity calibration. Uses response functions loaded in - ResponseFunctionEvaluator. Functions are defined in json file. - - Usage: - - >>> laser_wl = 785 - >>> ycert = YCalibrationCertificate.load(wavelength=785, key="SRM2241") - >>> ycal = YCalibrationComponent(laser_wl, reference_spe_xcalibrated=spe_srm,certificate=ycert) - >>> fig, ax = plt.subplots(1, 1, figsize=(15,4)) - >>> spe_srm.plot(ax=ax) - >>> spe_to_correct.plot(ax=ax) - >>> spe_ycalibrated = ycal.process(spe_to_correct) - >>> spe_ycalibrated.plot(label="y-calibrated",color="green",ax=ax.twinx()) - """ - - def __init__( - self, laser_wl, reference_spe_xcalibrated, certificate: YCalibrationCertificate - ): - super(YCalibrationComponent, self).__init__( - laser_wl, - spe=reference_spe_xcalibrated, - spe_units=None, - ref=certificate, - ref_units=None, - ) - self.laser_wl = laser_wl - self.spe = reference_spe_xcalibrated - self.ref = certificate - self.name = "Y calibration" - self.model = self.spe.spe_distribution(trim_range=certificate.raman_shift) - self.model_units = "cm-1" - - def derive_model(self, find_kw={}, fit_peaks_kw={}, should_fit=True, name=None): - # measured reference spectrum as distribution, so we can resample - self.model = self.spe.spe_distribution(trim_range=self.ref.raman_shift) - - def safe_divide(self, spe_to_correct, spe_reference_resampled): - numerator = spe_to_correct.y - # numerator_noise = spe_to_correct.y_noise - - scaling_denominator = spe_reference_resampled.y / self.ref.Y( - spe_reference_resampled.x - ) - # print(np.median(scaling_denominator), np.mean(scaling_denominator), np.std(scaling_denominator)) - - # denominator_noise = spe_reference_resampled.y_noise - denominator = spe_reference_resampled.y - # Create a mask for dividing only where value is above noise ! - # mask = (abs(scaling_denominator) > 0) & (kind_of_snr > 0.9) - # mask = (abs(denominator) > abs(denominator_noise)) & - mask = (abs(scaling_denominator) > 0) & (numerator > 0) & (denominator > 0) - # & (abs(numerator) > numerator_noise) & (abs(scaling_denominator) > 0) - # & (abs(denominator-numerator) > min(denominator_noise,numerator_noise)) - result = np.zeros_like(numerator) - # Perform division where mask is true - result[mask] = numerator[mask] / scaling_denominator[mask] - return result - - def safe_mask(self, spe_to_correct, spe_reference_resampled): - ref_noise = spe_reference_resampled.y_noise_MAD() - return (spe_reference_resampled.y >= 0) & ( - abs(spe_reference_resampled.y) > ref_noise - ) - - def safe_factor(self, spe_to_correct, spe_reference_resampled): - numerator = spe_to_correct.y - # numerator_noise = spe_to_correct.y_noise - - Y = self.ref.Y(spe_reference_resampled.x) - mask = self.safe_mask(spe_to_correct, spe_reference_resampled) - if mask is None: - scaling_factor = Y / spe_reference_resampled.y - else: - scaling_factor = np.zeros_like(spe_reference_resampled.y) - scaling_factor[mask] = Y[mask] / spe_reference_resampled.y[mask] - - result = numerator * scaling_factor - return result - - def process(self, old_spe: Spectrum, spe_units="nm", convert_back=False): - # resample using probability density function - _tmp = self.model.pdf(old_spe.x) - _tmp = ( - _tmp * max(self.spe.y) / max(_tmp) - ) # pdf sampling is normalized to area unity, scaling back - spe_reference_resampled = Spectrum(old_spe.x, _tmp) - # new_spe = Spectrum(old_spe.x,self.safe_divide(old_spe,spe_reference_resampled)) - new_spe = Spectrum( - old_spe.x, self.safe_factor(old_spe, spe_reference_resampled) - ) - return new_spe - - def _plot(self, ax, **kwargs): - if self.ref is not None: - self.ref.plot(ax, **kwargs) diff --git a/src/ramanchada2/protocols/calibration/CalibrationComponent.py b/src/ramanchada2/protocols/calibration/calibration_component.py similarity index 100% rename from src/ramanchada2/protocols/calibration/CalibrationComponent.py rename to src/ramanchada2/protocols/calibration/calibration_component.py diff --git a/src/ramanchada2/protocols/calibration/CalibrationModel.py b/src/ramanchada2/protocols/calibration/calibration_model.py similarity index 98% rename from src/ramanchada2/protocols/calibration/CalibrationModel.py rename to src/ramanchada2/protocols/calibration/calibration_model.py index 58dcb580..da7fb7fc 100644 --- a/src/ramanchada2/protocols/calibration/CalibrationModel.py +++ b/src/ramanchada2/protocols/calibration/calibration_model.py @@ -2,9 +2,8 @@ from ramanchada2.spectrum import Spectrum import ramanchada2.misc.constants as rc2const import pickle -from .CalibrationComponent import ProcessingModel -from .XCalibrationComponent import XCalibrationComponent -from .LazerZeroingComponent import LazerZeroingComponent +from .calibration_component import ProcessingModel +from .xcalibration import XCalibrationComponent, LazerZeroingComponent from typing import Dict import warnings diff --git a/src/ramanchada2/protocols/calibration/XCalibrationComponent.py b/src/ramanchada2/protocols/calibration/xcalibration.py similarity index 72% rename from src/ramanchada2/protocols/calibration/XCalibrationComponent.py rename to src/ramanchada2/protocols/calibration/xcalibration.py index 2df0eab3..31ec522a 100644 --- a/src/ramanchada2/protocols/calibration/XCalibrationComponent.py +++ b/src/ramanchada2/protocols/calibration/xcalibration.py @@ -1,5 +1,5 @@ import numpy as np -from .CalibrationComponent import CalibrationComponent +from .calibration_component import CalibrationComponent from ramanchada2.misc.utils.matchsets import match_peaks, match_peaks_cluster, cost_function_position from ramanchada2.spectrum import Spectrum from scipy.interpolate import RBFInterpolator @@ -226,3 +226,75 @@ def __str__(self): f"Calibration curve {len(self.y)} points) {self.kernel}" ) + + +class LazerZeroingComponent(CalibrationComponent): + def __init__( + self, + laser_wl, + spe, + spe_units="nm", + ref={520.45: 1}, + ref_units="cm-1", + sample="Silicon", + ): + super(LazerZeroingComponent, self).__init__( + laser_wl, spe, spe_units, ref, ref_units, sample + ) + self.profile = "Pearson4" + + def derive_model(self, find_kw=None, fit_peaks_kw=None, should_fit=True, name=None): + if find_kw is None: + find_kw = {} + if fit_peaks_kw is None: + fit_peaks_kw = {} + + cand = self.spe.find_peak_multipeak(**find_kw) + logger.debug(self.name, cand) + self.fit_res = self.spe.fit_peak_multimodel( + profile=self.profile, candidates=cand, **fit_peaks_kw + ) + # df = self.fit_res.to_dataframe_peaks() + df = self.fitres2df(self.spe) + # highest peak first + df = df.sort_values(by="height", ascending=False) + # df = df.sort_values(by='amplitude', ascending=False) + if df.empty: + raise Exception("No peaks found") + else: + if "position" in df.columns: + zero_peak_nm = df.iloc[0]["position"] + elif "center" in df.columns: + zero_peak_nm = df.iloc[0]["center"] + # https://www.elodiz.com/calibration-and-validation-of-raman-instruments/ + zero_peak_cm1 = self.zero_nm_to_shift_cm_1(zero_peak_nm, zero_peak_nm, list(self.ref.keys())[0]) + self.set_model( + zero_peak_nm, "nm", df, "Laser zeroing using {} nm {} cm-1 ({}) ". + format(zero_peak_nm, zero_peak_cm1, self.profile + ) + ) + logger.info(self.name, f"peak {self.profile} at {zero_peak_nm} nm") + # laser_wl should be calculated based on the peak position and set instead of the nominal + + def zero_nm_to_shift_cm_1(self, wl, zero_pos_nm, zero_ref_cm_1=520.45): + return 1e7 * (1 / zero_pos_nm - 1 / wl) + zero_ref_cm_1 + + # we do not do shift (as initially implemented) + # just convert the spectrum nm->cm-1 using the Si measured peak in nm and reference in cm-1 + # https://www.elodiz.com/calibration-and-validation-of-raman-instruments/ + def process(self, old_spe: Spectrum, spe_units="nm", convert_back=False): + wl_si_ref = list(self.ref.keys())[0] + logger.debug(self.name, "process", self.model, wl_si_ref) + new_x = self.zero_nm_to_shift_cm_1(old_spe.x, self.model, wl_si_ref) + new_spe = Spectrum(x=new_x, y=old_spe.y, metadata=old_spe.meta) + # new_spe = old_spe.lazer_zero_nm_to_shift_cm_1(self.model, wl_si_ref) + # print("old si", old_spe.x) + # print("new si", new_spe.x) + return new_spe + + def _plot(self, ax, **kwargs): + # spe_sil.plot(label="{} original".format(si_tag),ax=ax) + # spe_sil_calib.plot(ax = ax,label="{} laser zeroed".format(si_tag),fmt=":") + # ax.set_xlim(520.45-50,520.45+50) + # ax.set_xlabel("cm-1") + pass diff --git a/src/ramanchada2/protocols/calibration/YCalibrationCertificate.py b/src/ramanchada2/protocols/calibration/ycalibration.py similarity index 50% rename from src/ramanchada2/protocols/calibration/YCalibrationCertificate.py rename to src/ramanchada2/protocols/calibration/ycalibration.py index 3a536850..0885d331 100644 --- a/src/ramanchada2/protocols/calibration/YCalibrationCertificate.py +++ b/src/ramanchada2/protocols/calibration/ycalibration.py @@ -1,9 +1,11 @@ -from typing import Optional, Tuple -from ramanchada2.misc.plottable import Plottable +import numpy as np from pydantic import BaseModel, ValidationError +from typing import Optional, Tuple import json import os.path -import numpy as np +from ramanchada2.spectrum import Spectrum +from ramanchada2.misc.plottable import Plottable +from .calibration_component import CalibrationComponent class YCalibrationCertificate(BaseModel, Plottable): @@ -130,3 +132,102 @@ def get(self, wavelength=532, key="NIST532_SRM2242a"): @staticmethod def load(wavelength=785, key="NIST785_SRM2241"): return CertificatesDict().get(wavelength, key) + + +class YCalibrationComponent(CalibrationComponent): + """ + Class for relative intensity calibration. Uses response functions loaded in + ResponseFunctionEvaluator. Functions are defined in json file. + + Usage: + + >>> laser_wl = 785 + >>> ycert = YCalibrationCertificate.load(wavelength=785, key="SRM2241") + >>> ycal = YCalibrationComponent(laser_wl, reference_spe_xcalibrated=spe_srm,certificate=ycert) + >>> fig, ax = plt.subplots(1, 1, figsize=(15,4)) + >>> spe_srm.plot(ax=ax) + >>> spe_to_correct.plot(ax=ax) + >>> spe_ycalibrated = ycal.process(spe_to_correct) + >>> spe_ycalibrated.plot(label="y-calibrated",color="green",ax=ax.twinx()) + """ + + def __init__( + self, laser_wl, reference_spe_xcalibrated, certificate: YCalibrationCertificate + ): + super(YCalibrationComponent, self).__init__( + laser_wl, + spe=reference_spe_xcalibrated, + spe_units=None, + ref=certificate, + ref_units=None, + ) + self.laser_wl = laser_wl + self.spe = reference_spe_xcalibrated + self.ref = certificate + self.name = "Y calibration" + self.model = self.spe.spe_distribution(trim_range=certificate.raman_shift) + self.model_units = "cm-1" + + def derive_model(self, find_kw={}, fit_peaks_kw={}, should_fit=True, name=None): + # measured reference spectrum as distribution, so we can resample + self.model = self.spe.spe_distribution(trim_range=self.ref.raman_shift) + + def safe_divide(self, spe_to_correct, spe_reference_resampled): + numerator = spe_to_correct.y + # numerator_noise = spe_to_correct.y_noise + + scaling_denominator = spe_reference_resampled.y / self.ref.Y( + spe_reference_resampled.x + ) + # print(np.median(scaling_denominator), np.mean(scaling_denominator), np.std(scaling_denominator)) + + # denominator_noise = spe_reference_resampled.y_noise + denominator = spe_reference_resampled.y + # Create a mask for dividing only where value is above noise ! + # mask = (abs(scaling_denominator) > 0) & (kind_of_snr > 0.9) + # mask = (abs(denominator) > abs(denominator_noise)) & + mask = (abs(scaling_denominator) > 0) & (numerator > 0) & (denominator > 0) + # & (abs(numerator) > numerator_noise) & (abs(scaling_denominator) > 0) + # & (abs(denominator-numerator) > min(denominator_noise,numerator_noise)) + result = np.zeros_like(numerator) + # Perform division where mask is true + result[mask] = numerator[mask] / scaling_denominator[mask] + return result + + def safe_mask(self, spe_to_correct, spe_reference_resampled): + ref_noise = spe_reference_resampled.y_noise_MAD() + return (spe_reference_resampled.y >= 0) & ( + abs(spe_reference_resampled.y) > ref_noise + ) + + def safe_factor(self, spe_to_correct, spe_reference_resampled): + numerator = spe_to_correct.y + # numerator_noise = spe_to_correct.y_noise + + Y = self.ref.Y(spe_reference_resampled.x) + mask = self.safe_mask(spe_to_correct, spe_reference_resampled) + if mask is None: + scaling_factor = Y / spe_reference_resampled.y + else: + scaling_factor = np.zeros_like(spe_reference_resampled.y) + scaling_factor[mask] = Y[mask] / spe_reference_resampled.y[mask] + + result = numerator * scaling_factor + return result + + def process(self, old_spe: Spectrum, spe_units="nm", convert_back=False): + # resample using probability density function + _tmp = self.model.pdf(old_spe.x) + _tmp = ( + _tmp * max(self.spe.y) / max(_tmp) + ) # pdf sampling is normalized to area unity, scaling back + spe_reference_resampled = Spectrum(old_spe.x, _tmp) + # new_spe = Spectrum(old_spe.x,self.safe_divide(old_spe,spe_reference_resampled)) + new_spe = Spectrum( + old_spe.x, self.safe_factor(old_spe, spe_reference_resampled) + ) + return new_spe + + def _plot(self, ax, **kwargs): + if self.ref is not None: + self.ref.plot(ax, **kwargs) From b0760a21d6d477503456e4de7a960398bb024d7d Mon Sep 17 00:00:00 2001 From: vedina Date: Thu, 31 Oct 2024 18:36:46 +0200 Subject: [PATCH 13/38] options for plots in tests --- tests/protocols/test_calibrationmodel.py | 95 ++++++++++++------------ 1 file changed, 49 insertions(+), 46 deletions(-) diff --git a/tests/protocols/test_calibrationmodel.py b/tests/protocols/test_calibrationmodel.py index 6160d724..f521d981 100644 --- a/tests/protocols/test_calibrationmodel.py +++ b/tests/protocols/test_calibrationmodel.py @@ -3,17 +3,19 @@ import matplotlib.pyplot as plt import numpy as np import pytest -import ramanchada2 as rc2 +from ramanchada2.spectrum import from_test_spe + import ramanchada2.misc.constants as rc2const -from ramanchada2.protocols.calibration import ( - CalibrationModel, - CertificatesDict, - YCalibrationCertificate, - YCalibrationComponent, -) +from ramanchada2.protocols.calibration.calibration_model import CalibrationModel +from ramanchada2.protocols.calibration.ycalibration import ( + YCalibrationComponent, YCalibrationCertificate, CertificatesDict + ) + from sklearn.metrics.pairwise import cosine_similarity import traceback +_plots = True + class SetupModule: def __init__(self): @@ -24,36 +26,36 @@ def __init__(self): _wl_str = str(self.laser_wl) self.si_profile = "Pearson4" # self.si_profile = "Gaussian" - self.spe_neon = rc2.spectrum.from_test_spe( + self.spe_neon = from_test_spe( sample=["Neon"], provider=[_provider], device=[_device], OP=[_optical_path], laser_wl=[_wl_str] ) - self.spe_pst2 = rc2.spectrum.from_test_spe( + self.spe_pst2 = from_test_spe( sample=["PST"], provider=[_provider], device=[_device], OP=[_optical_path], laser_wl=[_wl_str] ) - self.spe_pst3 = rc2.spectrum.from_test_spe( + self.spe_pst3 = from_test_spe( sample=["PST"], provider=[_provider], device=[_device], OP=["020"], laser_wl=[_wl_str] ) - self.spe_sil = rc2.spectrum.from_test_spe( + self.spe_sil = from_test_spe( sample=["S0B"], provider=[_provider], device=[_device], OP=[_optical_path], laser_wl=[_wl_str] ) - self.spe_sil2 = rc2.spectrum.from_test_spe( + self.spe_sil2 = from_test_spe( sample=["S0B"], provider=[_provider], device=[_device], OP=[_optical_path], laser_wl=[_wl_str] ) - self.spe_nCal = rc2.spectrum.from_test_spe( + self.spe_nCal = from_test_spe( sample=["nCAL"], provider=[_provider], device=[_device], OP=[_optical_path], laser_wl=[_wl_str] ) - self.spe_SRM2241 = rc2.spectrum.from_test_spe( + self.spe_SRM2241 = from_test_spe( sample=["NIST785_SRM2241"], provider=[_provider], device=[_device], OP=[_optical_path], laser_wl=[_wl_str] ) # NIR785_EL0-9002 self.spe_sil = self.spe_sil.trim_axes( - method="x-axis", boundaries=(max(100, 520.45 - 200), 520.45 + 200) + method="x-axis", boundaries=(max(100, 520.45 - 50), 520.45 + 50) ) self.spe_sil2 = self.spe_sil2.trim_axes( - method="x-axis", boundaries=(max(100, 520.45 - 200), 520.45 + 200) + method="x-axis", boundaries=(max(100, 520.45 - 50), 520.45 + 50) ) self.spe_neon = self.spe_neon.trim_axes( @@ -102,45 +104,46 @@ def setup_module(): def test_laser_zeroing(setup_module): assert setup_module.calmodel is not None si_peak = 520.45 - fig, (ax, axpeak, axsifit) = plt.subplots(3, 1, figsize=(12, 4)) spe_sil_calib = setup_module.calmodel.apply_calibration_x( setup_module.spe_sil, spe_units="cm-1" ) - setup_module.spe_sil.plot(label="Si original", ax=ax) - spe_sil_calib.plot(ax=ax, label="Si laser zeroed", fmt=":") - plt.grid() - ax.set_xlim(si_peak-50, si_peak+50) - _units = setup_module.calmodel.components[1].model_units - if _units == "cm-1": - _units = r"$\mathrm{{[cm^{-1}]}}$" - assert _units == "nm" - ax.set_xlabel(_units) spe_test = spe_sil_calib # .trim_axes(method='x-axis',boundaries=(si_peak-50,si_peak+50)) find_kw = {"wlen": 200, "width": 1, "sharpening": None} find_kw["prominence"] = spe_test.y_noise_MAD() * setup_module.calmodel.prominence_coeff cand = spe_test.find_peak_multipeak(**find_kw) - fit_kw = {} - fitres = spe_test.fit_peak_multimodel(profile=setup_module.si_profile, candidates=cand, **fit_kw, no_fit=False) - fitres.plot(ax=axpeak, label="fit res") - spe_test.plot(ax=axpeak, label="Si laser zeroed", fmt=":") - - axpeak.set_xlim(si_peak-50, si_peak+50) - - # let's look at the peak before laser zeroing - spe_test_necalibrated_only = setup_module.calmodel.components[0].process(spe_test) - setup_module.calmodel.components[1].fit_res.plot(ax=axsifit) - si_peak_nm = setup_module.calmodel.components[1].model - axsifit.set_xlim(si_peak_nm-5, si_peak_nm+5) - spe_test_necalibrated_only.plot(ax=axsifit, label="Si (Ne calibrated only)", fmt=":") - + fitres = spe_test.fit_peak_multimodel(profile=setup_module.si_profile, candidates=cand, no_fit=False) df = fitres.to_dataframe_peaks().sort_values(by="height", ascending=False) - print(df.iloc[0]["center"]) - print(df.sort_values(by="amplitude", ascending=False).head()) + _units = setup_module.calmodel.components[1].model_units + assert _units == "nm" + + if _plots: + fig, (ax, axpeak, axsifit) = plt.subplots(3, 1, figsize=(12, 4)) + setup_module.spe_sil.plot(label="Si original", ax=ax) + spe_sil_calib.plot(ax=ax, label="Si laser zeroed", fmt=":") + plt.grid() + ax.set_xlim(si_peak-50, si_peak+50) + if _units == "cm-1": + _units = r"$\mathrm{{[cm^{-1}]}}$" + ax.set_xlabel(_units) + fitres.plot(ax=axpeak, label="fit res") + spe_test.plot(ax=axpeak, label="Si laser zeroed", fmt=":") + axpeak.set_xlim(si_peak-50, si_peak+50) + # let's look at the peak before laser zeroing + + ne_model = setup_module.calmodel.components[0] + si_model = setup_module.calmodel.components[1] + spe_test_necalibrated_only = ne_model.process(spe_test) + si_model.fit_res.plot(ax=axsifit) + si_peak_nm = si_model.model + axsifit.set_xlim(si_peak_nm-5, si_peak_nm+5) + spe_test_necalibrated_only.plot(ax=axsifit, label="Si (Ne calibrated only)", fmt=":") + + print(df.sort_values(by="amplitude", ascending=False).head()) + plt.grid() + plt.tight_layout() + plt.savefig("test_calmodel_{}.png".format("laser_zeroing")) - plt.grid() - plt.tight_layout() - plt.savefig("test_calmodel_{}.png".format("laser_zeroing")) difference = abs(df.iloc[0]["center"] - si_peak) assert difference < 1E-2, f"Si peak found at {df.iloc[0]['center']}" @@ -230,7 +233,7 @@ def test_ycalibration(setup_module): setup_module.laser_wl, setup_module.spe_SRM2241, certificate=certificate ) - spe_to_correct = rc2.spectrum.from_test_spe( + spe_to_correct = from_test_spe( sample=["PST"], provider=["FNMT"], OP=["03"], laser_wl=["785"] ) # spe_to_correct = spe_to_correct.trim_axes(method='x-axis',boundaries=(100,2000)) From 5320aca3dd14b61e675e824c1945c804c7a469f9 Mon Sep 17 00:00:00 2001 From: vedina Date: Thu, 31 Oct 2024 18:58:17 +0200 Subject: [PATCH 14/38] no plots by default in calibration test --- tests/protocols/test_calibrationmodel.py | 53 +++++++++++++----------- 1 file changed, 29 insertions(+), 24 deletions(-) diff --git a/tests/protocols/test_calibrationmodel.py b/tests/protocols/test_calibrationmodel.py index f521d981..7709011f 100644 --- a/tests/protocols/test_calibrationmodel.py +++ b/tests/protocols/test_calibrationmodel.py @@ -14,7 +14,7 @@ from sklearn.metrics.pairwise import cosine_similarity import traceback -_plots = True +_plots = False class SetupModule: @@ -167,8 +167,9 @@ def resample_spline(spe, xmin, xmax, npoints): def compare_calibrated_spe(setup_module, spectra, name="calibration"): - fig, ax = plt.subplots(len(spectra) + 1, 1, figsize=(24, 8)) - setup_module.calmodel.plot(ax=ax[0]) + if _plots: + fig, ax = plt.subplots(len(spectra) + 1, 1, figsize=(24, 8)) + setup_module.calmodel.plot(ax=ax[0]) crl = [("blue", "red"), ("green", "gray")] spe_y_original = [] _min = 200 @@ -180,22 +181,25 @@ def compare_calibrated_spe(setup_module, spectra, name="calibration"): spe_norm = resample_spline(spe_norm, _min, _max, _max - _min) # resample with histogram # spe_y_original.append(resample(spe_norm,_min,_max,_max-_min)) - spe_norm.plot(ax=ax[index + 1], label=f"original {index}", color=crl[index][0]) spe_y_original.append(spe_norm.y) spe_c = setup_module.calmodel.apply_calibration_x(spe, spe_units="cm-1") spe_c_norm = spe_c.normalize(strategy="unity_area") spe_c_norm = resample_spline(spe_c_norm, _min, _max, _max - _min) - spe_c_norm.plot( - ax=ax[index + 1], label=f"calibrated {index}", color=crl[index][1] - ) spe_calibrated.append(spe_c_norm.y) _units = "cm^{-1}" _units = rf"$\mathrm{{[{_units}]}}$" - ax[index + 1].set_xlabel(_units) + if _plots: + spe_norm.plot(ax=ax[index + 1], label=f"original {index}", color=crl[index][0]) + spe_c_norm.plot( + ax=ax[index + 1], label=f"calibrated {index}", color=crl[index][1] + ) + ax[index + 1].set_xlabel(_units) cos_sim_matrix_original = cosine_similarity(spe_y_original) cos_sim_matrix = cosine_similarity(spe_calibrated) - plt.tight_layout() - plt.savefig("test_calmodel_{}.png".format(name)) + + if _plots: + plt.tight_layout() + plt.savefig("test_calmodel_{}.png".format(name)) # print(name,np.mean(cos_sim_matrix_original),np.mean(cos_sim_matrix)) # assert(np.mean(cos_sim_matrix_original) <= np.mean(cos_sim_matrix)) assert np.mean(cos_sim_matrix_original) <= (np.mean(cos_sim_matrix) + 1e-5) @@ -223,35 +227,35 @@ def test_xcalibration_cal(setup_module): def test_ycalibration(setup_module): - fig, ax = plt.subplots(3, 1, figsize=(24, 8)) certificates = CertificatesDict() certs = certificates.get_certificates(wavelength=int(setup_module.laser_wl)) key = "NIST785_SRM2241" certificate = certs[key] - certificate.plot(ax=ax[2], color="pink") ycal = YCalibrationComponent( setup_module.laser_wl, setup_module.spe_SRM2241, certificate=certificate ) - spe_to_correct = from_test_spe( sample=["PST"], provider=["FNMT"], OP=["03"], laser_wl=["785"] ) # spe_to_correct = spe_to_correct.trim_axes(method='x-axis',boundaries=(100,2000)) # remove the pedestal spe_to_correct.y = spe_to_correct.y - min(spe_to_correct.y) - spe_to_correct.plot(ax=ax[0], label="PST") - window_length = 5 maxy = max(spe_to_correct.y) - spe_to_correct = spe_to_correct.smoothing_RC1( + spe_to_correct1 = spe_to_correct.smoothing_RC1( method="savgol", window_length=window_length, polyorder=3 ) - spe_to_correct.y = maxy * spe_to_correct.y / max(spe_to_correct.y) - spe_to_correct.plot(ax=ax[0], label="smoothed") - setup_module.spe_SRM2241.plot(ax=ax[0].twinx(), label=key) - spe_ycalibrated = ycal.process(spe_to_correct) - spe_ycalibrated.plot(ax=ax[1], label="y calibrated") - plt.savefig("test_calmodel_{}.png".format(key)) + spe_to_correct1.y = maxy * spe_to_correct.y / max(spe_to_correct.y) + spe_ycalibrated = ycal.process(spe_to_correct1) + + if _plots: + fig, ax = plt.subplots(3, 1, figsize=(24, 8)) + certificate.plot(ax=ax[2], color="pink") + spe_to_correct.plot(ax=ax[0], label="PST") + spe_to_correct1.plot(ax=ax[0], label="smoothed") + setup_module.spe_SRM2241.plot(ax=ax[0].twinx(), label=key) + spe_ycalibrated.plot(ax=ax[1], label="y calibrated") + plt.savefig("test_calmodel_{}.png".format(key)) def test_ycertificate(): @@ -272,8 +276,9 @@ def test_ycertificate(): temperature_c=(20, 25), raman_shift=(200, 3500), ) - cert.plot() - plt.savefig("test_calmodel_{}.png".format("ycert")) + if _plots: + cert.plot() + plt.savefig("test_calmodel_{}.png".format("ycert")) def test_ycerts_dict(): From 2b4fc2166bb944f7f72785c0debe1857f539e8b4 Mon Sep 17 00:00:00 2001 From: vedina Date: Thu, 31 Oct 2024 19:30:43 +0200 Subject: [PATCH 15/38] updated --- tox.ini | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/tox.ini b/tox.ini index b3a11cdd..5733d9b6 100644 --- a/tox.ini +++ b/tox.ini @@ -64,7 +64,10 @@ commands = usort format \ scripts \ src/ramanchada2/auxiliary/spectra/datasets2/__init__.py \ - src/ramanchada2/protocols/calibration.py \ + src/ramanchada2/protocols/calibration/calibration_component.py \ + src/ramanchada2/protocols/calibration/calibration_model.py \ + src/ramanchada2/protocols/calibration/xcalibration.py \ + src/ramanchada2/protocols/calibration/ycalibration.py \ src/ramanchada2/protocols/metadata_helper.py \ src/ramanchada2/protocols/spectraframe.py \ src/ramanchada2/protocols/twinning.py \ From 30e3fda782c99e93cc6b675c2358020d7379a152 Mon Sep 17 00:00:00 2001 From: vedina Date: Thu, 31 Oct 2024 19:31:47 +0200 Subject: [PATCH 16/38] refactored calibration components --- .../calibration/calibration_component.py | 12 +++++---- .../calibration/calibration_model.py | 13 ++++----- .../protocols/calibration/xcalibration.py | 14 +++++++--- .../protocols/calibration/ycalibration.py | 10 ++++--- tests/protocols/test_calibrationmodel.py | 27 ++++++++++++++----- 5 files changed, 51 insertions(+), 25 deletions(-) diff --git a/src/ramanchada2/protocols/calibration/calibration_component.py b/src/ramanchada2/protocols/calibration/calibration_component.py index 9e4683ff..9a4c06da 100644 --- a/src/ramanchada2/protocols/calibration/calibration_component.py +++ b/src/ramanchada2/protocols/calibration/calibration_component.py @@ -1,10 +1,12 @@ -from ramanchada2.spectrum import Spectrum -from ramanchada2.misc.plottable import Plottable -import pandas as pd -import numpy as np +import logging + import matplotlib.pyplot as plt +import numpy as np +import pandas as pd from matplotlib.axes import Axes -import logging + +from ramanchada2.misc.plottable import Plottable +from ramanchada2.spectrum import Spectrum logger = logging.getLogger(__name__) diff --git a/src/ramanchada2/protocols/calibration/calibration_model.py b/src/ramanchada2/protocols/calibration/calibration_model.py index da7fb7fc..d1355b1d 100644 --- a/src/ramanchada2/protocols/calibration/calibration_model.py +++ b/src/ramanchada2/protocols/calibration/calibration_model.py @@ -1,16 +1,17 @@ -from ramanchada2.misc.plottable import Plottable -from ramanchada2.spectrum import Spectrum -import ramanchada2.misc.constants as rc2const import pickle -from .calibration_component import ProcessingModel -from .xcalibration import XCalibrationComponent, LazerZeroingComponent +import warnings from typing import Dict -import warnings import matplotlib.pyplot as plt from matplotlib.axes import Axes +import ramanchada2.misc.constants as rc2const +from ramanchada2.misc.plottable import Plottable +from ramanchada2.spectrum import Spectrum +from .calibration_component import ProcessingModel +from .xcalibration import LazerZeroingComponent, XCalibrationComponent + class CalibrationModel(ProcessingModel, Plottable): """ diff --git a/src/ramanchada2/protocols/calibration/xcalibration.py b/src/ramanchada2/protocols/calibration/xcalibration.py index 31ec522a..fced5376 100644 --- a/src/ramanchada2/protocols/calibration/xcalibration.py +++ b/src/ramanchada2/protocols/calibration/xcalibration.py @@ -1,9 +1,15 @@ +import logging + import numpy as np -from .calibration_component import CalibrationComponent -from ramanchada2.misc.utils.matchsets import match_peaks, match_peaks_cluster, cost_function_position -from ramanchada2.spectrum import Spectrum from scipy.interpolate import RBFInterpolator -import logging + +from ramanchada2.misc.utils.matchsets import ( + cost_function_position, + match_peaks, + match_peaks_cluster, +) +from ramanchada2.spectrum import Spectrum +from .calibration_component import CalibrationComponent logger = logging.getLogger(__name__) diff --git a/src/ramanchada2/protocols/calibration/ycalibration.py b/src/ramanchada2/protocols/calibration/ycalibration.py index 0885d331..2b601cec 100644 --- a/src/ramanchada2/protocols/calibration/ycalibration.py +++ b/src/ramanchada2/protocols/calibration/ycalibration.py @@ -1,10 +1,12 @@ -import numpy as np -from pydantic import BaseModel, ValidationError -from typing import Optional, Tuple import json import os.path -from ramanchada2.spectrum import Spectrum +from typing import Optional, Tuple + +import numpy as np +from pydantic import BaseModel, ValidationError + from ramanchada2.misc.plottable import Plottable +from ramanchada2.spectrum import Spectrum from .calibration_component import CalibrationComponent diff --git a/tests/protocols/test_calibrationmodel.py b/tests/protocols/test_calibrationmodel.py index 7709011f..c8b09dcd 100644 --- a/tests/protocols/test_calibrationmodel.py +++ b/tests/protocols/test_calibrationmodel.py @@ -1,21 +1,24 @@ #!/usr/bin/env python3 +import traceback + import matplotlib.pyplot as plt import numpy as np import pytest -from ramanchada2.spectrum import from_test_spe import ramanchada2.misc.constants as rc2const from ramanchada2.protocols.calibration.calibration_model import CalibrationModel from ramanchada2.protocols.calibration.ycalibration import ( - YCalibrationComponent, YCalibrationCertificate, CertificatesDict - ) + CertificatesDict, + YCalibrationCertificate, + YCalibrationComponent, +) +from ramanchada2.spectrum import from_test_spe from sklearn.metrics.pairwise import cosine_similarity -import traceback _plots = False - +si_peak = 520.45 class SetupModule: def __init__(self): @@ -101,9 +104,21 @@ def setup_module(): return SetupModule() +def test_fit_si(setup_module): + spe_sil = setup_module.spe_sil.trim_axes( + method="x-axis", boundaries=(max(100, 520.45 - 50), 520.45 + 50) + ) + find_kw = {"wlen": 200, "width": 1, "sharpening": None} + find_kw["prominence"] = spe_sil.y_noise_MAD() * 3 + cand = spe_sil.find_peak_multipeak(**find_kw) + fitres = spe_sil.fit_peak_multimodel(profile="Pearson4", candidates=cand, no_fit=False, vary_baseline=False) + df = fitres.to_dataframe_peaks().sort_values(by="height", ascending=False) + difference = abs(df.iloc[0]["center"] - si_peak) + assert difference < 1E-2, f"Si peak found at {df.iloc[0]['center']}" + + def test_laser_zeroing(setup_module): assert setup_module.calmodel is not None - si_peak = 520.45 spe_sil_calib = setup_module.calmodel.apply_calibration_x( setup_module.spe_sil, spe_units="cm-1" ) From 3c9648150912ca9c2156bae0abcbcc02f90082a1 Mon Sep 17 00:00:00 2001 From: vedina Date: Thu, 31 Oct 2024 20:00:58 +0200 Subject: [PATCH 17/38] added __init_.py in the new calibration folder --- src/ramanchada2/protocols/calibration/__init__.py | 0 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 src/ramanchada2/protocols/calibration/__init__.py diff --git a/src/ramanchada2/protocols/calibration/__init__.py b/src/ramanchada2/protocols/calibration/__init__.py new file mode 100644 index 00000000..e69de29b From 7a44252f764f60aa71dc7fd52446443a29108f6c Mon Sep 17 00:00:00 2001 From: vedina Date: Thu, 31 Oct 2024 20:01:37 +0200 Subject: [PATCH 18/38] fixed nasty bug in interpreting clustering results --- src/ramanchada2/misc/utils/matchsets.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/src/ramanchada2/misc/utils/matchsets.py b/src/ramanchada2/misc/utils/matchsets.py index ba73e110..293813fc 100644 --- a/src/ramanchada2/misc/utils/matchsets.py +++ b/src/ramanchada2/misc/utils/matchsets.py @@ -61,10 +61,10 @@ def match_peaks_cluster(spe_pos_dict, ref): x = w_spe r = w_ref e_min = e - x_spe = np.append(x_spe, x) - x_reference = np.append(x_reference, r) - x_distance = np.append(x_distance, e_min) - clusters = np.append(clusters, cluster) + x_spe = np.append(x_spe, x) + x_reference = np.append(x_reference, r) + x_distance = np.append(x_distance, e_min) + clusters = np.append(clusters, cluster) sort_indices = np.argsort(x_spe) return (x_spe[sort_indices], x_reference[sort_indices], x_distance[sort_indices], df) From aeb73bb89e0fc7950c348f61d4f395a4104e6718 Mon Sep 17 00:00:00 2001 From: vedina Date: Thu, 31 Oct 2024 20:13:07 +0200 Subject: [PATCH 19/38] the certs.json new location --- MANIFEST.in | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/MANIFEST.in b/MANIFEST.in index 3e433fe6..852438b0 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -1,2 +1,2 @@ include README.pypi -include src/ramanchada2/protocols/config_certs.json +include src/ramanchada2/protocols/calibration/config_certs.json From 72233c360e038627ace285bf1f85116be1885ef0 Mon Sep 17 00:00:00 2001 From: vedina Date: Thu, 31 Oct 2024 20:22:34 +0200 Subject: [PATCH 20/38] pairs within cluster --- src/ramanchada2/misc/utils/matchsets.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/src/ramanchada2/misc/utils/matchsets.py b/src/ramanchada2/misc/utils/matchsets.py index 293813fc..e241b5d0 100644 --- a/src/ramanchada2/misc/utils/matchsets.py +++ b/src/ramanchada2/misc/utils/matchsets.py @@ -50,11 +50,11 @@ def match_peaks_cluster(spe_pos_dict, ref): # Get the unique sources within the group unique_sources = group['Source'].unique() if 'reference' in unique_sources and 'spe' in unique_sources: + x = None + r = None + e_min = None # Pivot the DataFrame to create the desired structure for w_spe in group.loc[group["Source"] == "spe"]["Wavelength"].values: - x = None - r = None - e_min = None for w_ref in group.loc[group["Source"] == "reference"]["Wavelength"].values: e = euclidean_distances(w_spe.reshape(-1, 1), w_ref.reshape(-1, 1))[0][0] if (e_min is None) or (e < e_min): From ab7a860a2d86dd9db4278b2495a8c292068ab06c Mon Sep 17 00:00:00 2001 From: vedina Date: Thu, 31 Oct 2024 20:41:36 +0200 Subject: [PATCH 21/38] notebook update --- examples/publication/demo.ipynb | 231 +++++++++++------------ tests/protocols/test_calibrationmodel.py | 3 +- 2 files changed, 113 insertions(+), 121 deletions(-) diff --git a/examples/publication/demo.ipynb b/examples/publication/demo.ipynb index b92e9020..917bfe5a 100644 --- a/examples/publication/demo.ipynb +++ b/examples/publication/demo.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -11,7 +11,7 @@ "\n", "import ramanchada2 as rc2\n", "import ramanchada2.misc.constants as rc2const\n", - "from ramanchada2.protocols.calibration import CalibrationModel\n", + "from ramanchada2.protocols.calibration.calibration_model import CalibrationModel\n", "import pandas as pd\n", "import numpy as np\n", "import traceback\n", @@ -21,7 +21,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -44,7 +44,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -55,7 +55,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -78,7 +78,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -87,7 +87,7 @@ "Text(0.5, 0, 'Raman shift [cm$^{-1}$]')" ] }, - "execution_count": 5, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, @@ -141,15 +141,15 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - " Neon calibration spe (cm-1) reference (nm) model (nm) Calibration curve 28 points) thin_plate_spline\n", - " Laser zeroing using 818.5219107638882 nm 520.45 cm-1 (Pearson4) spe (nm) reference (cm-1) model (nm) 818.5219107638882\n" + " Neon calibration spe (cm-1) reference (nm) model (nm) Calibration curve 23 points) thin_plate_spline\n", + " Laser zeroing using 818.3430703906921 nm 520.45 cm-1 (Pearson4) spe (nm) reference (cm-1) model (nm) 818.3430703906921\n" ] } ], @@ -179,12 +179,12 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 9, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -209,7 +209,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -339,7 +339,7 @@ "[91 rows x 4 columns]" ] }, - "execution_count": 8, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -350,7 +350,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -366,7 +366,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -376,7 +376,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -421,39 +421,35 @@ " \n", " \n", " g00_p0\n", - " 2.170065\n", - " 0.022737\n", - " 520.454072\n", - " 0.095363\n", - " 4.0512\n", - " 0.140769\n", - " 1.525885\n", - " 0.065628\n", - " 0.387814\n", - " 0.056972\n", - " 6.531639\n", - " 0.092356\n", - " 0.269448\n", - " 0.001995\n", - " 519.939252\n", - " 0.030266\n", + " 2.178521\n", + " 0.022848\n", + " 520.454087\n", + " 0.095842\n", + " 4.068426\n", + " 0.141578\n", + " 1.52631\n", + " 0.065746\n", + " 0.385924\n", + " 0.057005\n", + " 6.556157\n", + " 0.092828\n", + " 0.269447\n", + " 0.001997\n", + " 519.939741\n", + " 0.030422\n", " \n", " \n", "\n", "" ], "text/plain": [ - " amplitude amplitude_stderr center center_stderr sigma \\\n", - "g00_p0 2.170065 0.022737 520.454072 0.095363 4.0512 \n", + " amplitude amplitude_stderr ... position position_stderr\n", + "g00_p0 2.178521 0.022848 ... 519.939741 0.030422\n", "\n", - " sigma_stderr expon expon_stderr skew skew_stderr fwhm \\\n", - "g00_p0 0.140769 1.525885 0.065628 0.387814 0.056972 6.531639 \n", - "\n", - " fwhm_stderr height height_stderr position position_stderr \n", - "g00_p0 0.092356 0.269448 0.001995 519.939252 0.030266 " + "[1 rows x 16 columns]" ] }, - "execution_count": 11, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -469,7 +465,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -478,12 +474,12 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 15, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -508,12 +504,12 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 16, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -566,7 +562,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -609,14 +605,14 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Neon calibration spe (cm-1) reference (nm) model (nm) Calibration curve 28 points) thin_plate_spline\n" + "Neon calibration spe (cm-1) reference (nm) model (nm) Calibration curve 23 points) thin_plate_spline\n" ] } ], @@ -635,7 +631,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -765,13 +761,13 @@ "[98 rows x 4 columns]" ] }, - "execution_count": 17, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -800,12 +796,12 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -872,7 +868,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 21, "metadata": {}, "outputs": [], "source": [ @@ -914,17 +910,17 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 22, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "\n", - "Neon calibration spe (cm-1) reference (nm) model (nm) Calibration curve 28 points) thin_plate_spline\n", - "\n", - "Laser zeroing using 818.5219107638882 nm 520.45 cm-1 (Pearson4) spe (nm) reference (cm-1) model (nm) 818.5219107638882\n" + "\n", + "Neon calibration spe (cm-1) reference (nm) model (nm) Calibration curve 23 points) thin_plate_spline\n", + "\n", + "Laser zeroing using 818.3430703906921 nm 520.45 cm-1 (Pearson4) spe (nm) reference (cm-1) model (nm) 818.3430703906921\n" ] } ], @@ -942,7 +938,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 23, "metadata": {}, "outputs": [ { @@ -975,21 +971,21 @@ " \n", " \n", " 0\n", - " 818.521911\n", - " 0.437399\n", - " 0.269452\n", - " 0.145362\n", + " 818.34307\n", + " 0.43885\n", + " 0.269451\n", + " 0.145865\n", " \n", " \n", "\n", "" ], "text/plain": [ - " center fwhm height amplitude\n", - "0 818.521911 0.437399 0.269452 0.145362" + " center fwhm height amplitude\n", + "0 818.34307 0.43885 0.269451 0.145865" ] }, - "execution_count": 21, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -1001,12 +997,12 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 24, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -1046,7 +1042,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -1063,7 +1059,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -1075,14 +1071,14 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "The Si peak of the calibrated spectrum (Gaussian) 519.7158284640926\n" + "The Si peak of the calibrated spectrum (Gaussian) 519.7164690949616\n" ] }, { @@ -1121,36 +1117,35 @@ " \n", " \n", " g00_p0\n", - " 1.921478\n", - " 0.04328\n", - " 519.715828\n", - " 0.079304\n", - " 3.048832\n", - " 0.079284\n", - " 7.17945\n", - " 0.186699\n", - " 0.251427\n", - " 0.005664\n", + " 1.929141\n", + " 0.043425\n", + " 519.716469\n", + " 0.079569\n", + " 3.060971\n", + " 0.079549\n", + " 7.208035\n", + " 0.187323\n", + " 0.251429\n", + " 0.00566\n", " \n", " \n", "\n", "" ], "text/plain": [ - " amplitude amplitude_stderr center center_stderr sigma \\\n", - "g00_p0 1.921478 0.04328 519.715828 0.079304 3.048832 \n", + " amplitude amplitude_stderr ... height height_stderr\n", + "g00_p0 1.929141 0.043425 ... 0.251429 0.00566\n", "\n", - " sigma_stderr fwhm fwhm_stderr height height_stderr \n", - "g00_p0 0.079284 7.17945 0.186699 0.251427 0.005664 " + "[1 rows x 10 columns]" ] }, - "execution_count": 25, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -1173,7 +1168,7 @@ "df = fitres.to_dataframe_peaks().sort_values(by=\"height\",ascending=False)\n", "print(\"The Si peak of the calibrated spectrum (Gaussian)\", df.iloc[0][\"center\"])\n", "ax.axvline(x=df.iloc[0][\"center\"], color='black', linestyle=':', linewidth=2, label=\"Si peak {:.3f}\".format(df.iloc[0][\"center\"]))\n", - "cand.plot(ax=ax,label=\"candidates\")\n", + "#cand.plot(ax=ax,label=\"candidates\")\n", "ax.legend()\n", "ax.grid()\n", "df.head()\n" @@ -1181,7 +1176,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ @@ -1195,14 +1190,14 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "The Si peak of the calibrated spectrum (Pearson4) 520.5462500017477\n" + "The Si peak of the calibrated spectrum (Pearson4) 520.5464302440323\n" ] }, { @@ -1247,45 +1242,41 @@ " \n", " \n", " g00_p0\n", - " 2.119265\n", - " 0.029516\n", - " 520.54625\n", - " 0.10471\n", - " 4.249936\n", - " 0.17343\n", - " 1.645956\n", - " 0.092049\n", - " 0.463057\n", - " 0.069507\n", - " 6.583136\n", - " 0.090918\n", - " 0.267701\n", - " 0.002037\n", - " 519.948433\n", - " 0.029656\n", + " 2.127599\n", + " 0.02966\n", + " 520.54643\n", + " 0.105192\n", + " 4.267801\n", + " 0.174411\n", + " 1.646273\n", + " 0.092193\n", + " 0.460931\n", + " 0.069493\n", + " 6.607825\n", + " 0.091378\n", + " 0.267702\n", + " 0.00204\n", + " 519.948971\n", + " 0.029808\n", " \n", " \n", "\n", "" ], "text/plain": [ - " amplitude amplitude_stderr center center_stderr sigma \\\n", - "g00_p0 2.119265 0.029516 520.54625 0.10471 4.249936 \n", - "\n", - " sigma_stderr expon expon_stderr skew skew_stderr fwhm \\\n", - "g00_p0 0.17343 1.645956 0.092049 0.463057 0.069507 6.583136 \n", + " amplitude amplitude_stderr ... position position_stderr\n", + "g00_p0 2.127599 0.02966 ... 519.948971 0.029808\n", "\n", - " fwhm_stderr height height_stderr position position_stderr \n", - "g00_p0 0.090918 0.267701 0.002037 519.948433 0.029656 " + "[1 rows x 16 columns]" ] }, - "execution_count": 27, + "execution_count": 29, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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uHGlpaQQGBtrtDwwMZO/evdlq4+2336Z06dJ2XWY7derEQw89RMWKFTl06BDvvvsunTt3Zu3atVl2fRw1ahQjRjiOFQkPDycgICAnT0nyucxzTohI/qLrUyQPmaHdx+3wxpudXXZy+N/DDlUqnV1MnVPrSHVxZ0v5viQsDbeVtUxKIv58GLManOC9ZTVgw3Ps/XMKhwPt5xi2WKCom5FLyfC/XxZTo+idMQm0SF4rTH9DTSYTQUFBxMbGXll4YelS5wUUnb05O1NSUnB3d7ctvDBx4kRatGjBlClT6NWrl20l1Dlz5lCqVCm7Y93c3IhOP4/FYiExMdH2+NKlS3Tq1MlhLjqw/t8cHR1Namoqrq6utmNycpzFYrE7Li0tjaSkJKKjozEYDJjNZrty+5cmmj59+vDcc885lJUoUeKax12tbt26rF+/3qH+m2++aRta6uvrayv39fUlOTmZEydO4Od35UujM2fOULRo0SzPu3TpUs6ePUtwcLDdc33jjTeYOHEi27dvzzK2WrVqkZqays6dO+2Sjhlu9BolJiZiMpnsenIlJyfj4uJid0xqairJyclER0fz+OOP07lzZ1uZt7e3Xd2MedtiYmLs5gqUW5ecnExycjIJCQmsWLHCIVmXec7Igi5PZ/QbPXo0s2fPZtmyZXZdch999FHbdp06dahbty6VK1dm2bJltGvXzqGdwYMHM2jQINvjU6dOUbNmTdq1a0eZMmVu75OQPJGSksKSJUvo0KHDNScmFRHn0PUpkvcMCw2YTpuw+FmoPrY61b2r21e4cBjT19Z/xsztRpBwroTdNfpv+fqkXAplTr3jDF5bGZfIOtQ6WoLqT3dxONfqlF38vOkUyf6V6NK52m1/biJ3ksL4NzQxMZETJ07g7e2d5bDL/MrV1RWTyYSvr69t33vvvccbb7zBM888Q+PGjXF3d+fcuXN2iZmrGQwGPDw8bO00adKE3377zdYLLCsmkwk3Nze7c9/scSaTCVdXV3x9fWncuDGnT58mIiLCNiQ0s4YNG3Lo0CHq169/3dfmRvbs2UOZMmVscVgsFl555RUWLlzIP//845A0a9myJa6urmzYsIHu3bsD1tVrT548SZs2beyeT4Znn32We++9125f586defLJJ+nTp0+WxwAcPHgQFxcXKlWqlGWdG71GGb/DPj4+GAwGwDrFl9FotGsv8++Pr68vFSpUuObr5eXlZWvzWnHLzUtMTMTT05NWrVo5vAddvdZCdk2ZMoVx48YRERFBvXr1mDx5Mk2aNMmy7tdff80333zDzp07Aet19vHHH9vV79OnD7NmzbI7LiwsjEWLFmU7phwl7wICAjAajbZvITJERkbecL668ePHM3r0aJYuXUrdunWvW7dSpUoEBARw8ODBLJN37u7udl1gM7LaGW9cUni4urrqZyqST+n6FMlD1imYMPQz4Op/1XVnNsOCgZC+uqyh8TPw1yLbNRqTmMLQxtZ5hhNKreBYswAqLmuIy5934fKBGUz2w4paVS3Jz5tOsfrQBV3jIrdJYfobmpaWhsFgwMXFpUD1KjIYDLa4M/Ts2ZO3336bL774gjfeeIM33niD119/HYAWLVpw+fJlVq9eja+vL0899ZTtuMzPfcCAAUybNo0nnnjCtirswYMHmT17NtOmTbONLLv63Dd7XObncc8999CqVSt69OjBhAkTqFKlCnv37sVgMNCpUyfbyqevvPIKzz77LEWKFGH37t0sWbLENtff1SZNmkTFihWpVasWiYmJTJs2jX///ZfFixfb4njxxRf54Ycf+P333/Hz87PNUebn54enpyf+/v707duXN954g4CAAHx9fXn55Zdp1qwZd999t+1c1atXZ9SoUTz44IOUKFGCEiVK2MXi6upKqVKlbMN7165dy/r167nnnnvw8fFh7dq1vP766zz55JPXnILrRq9R5tc14/llJPGu9bpfS0REBBERERw+bO0tv2vXLnx8fChfvrzDNGJy81xcXDAYDFm+r97MCrQZi7ROnTqV0NBQJk2aRFhYGPv27bP11M0sY5HWu+++Gw8PD8aMGUPHjh3ZtWuXXeeyTp06MWPGDNvjrIZ1X0+O3l3d3Nxo2LAh4eFXhmGYzWbCw8Ntk3hmZezYsYwcOZJFixbRKBsrAJ08eZLz5887dE8WERERuePsBpZi/dSW1YKAG76C42vAzRse+BwM9h/vPl64h4gixTC4nse95F+8uO/d9HY7wa5NDs01rxKAwQD7ImM4G52Y289GRCTfMplMDBgwgLFjxxIXF8fIkSMZMmQIo0aNokaNGnTq1IkFCxZQsWLFa7ZRunRpVq9eTVpaGh07dqROnToMHDiQokWLXjfRc7PHXe3XX3+lcePGPPbYY9SsWZO33nqLtLQ0wDrcdfny5ezfv5+WLVvSoEEDhg4dSunSpa/ZXnJyMq+//jp16tShdevWbNu2jaVLl9p1svniiy+4fPkybdq0oVSpUrbbnDlzbHUmTpzIfffdR/fu3WnVqhVBQUH89ttvdufat2+fbaXa7HB3d2f27Nm0bt2aWrVq8dFHH/Haa6/x1Vdf3fRrlJumTp1KgwYN6NevHwCtWrWiQYMGzJ8/P9fPJbkn8yKtNWvWZOrUqXh5eTF9+vQs63///fe8+OKL1K9fn+rVqzNt2jRbniyzjEVaM27+/v45istgyZj5MZvmzJnDU089xZdffkmTJk2YNGkSP/30E3v37iUwMJDevXtTpkwZ24SNY8aMYejQofzwww80b97c1o63tzfe3t7ExsYyYsQIunfvTlBQEIcOHeKtt94iJiaGHTt2ZCsbefLkScqVK8eJEycoW7Zsjl4AyZ9SUlJYuHAhXbp0KTTfSooUFro+RfLY68AEoCsw76qy84fgi+bWXnf3ToDGfe2u0bVHLtF7+gYAPMt/ianIES4Ou8hJyzo4XhZe/RMm3edwyvsnr2LHqct80qMe3Rvqs5VIbimMf0MTExM5cuQIFStWLFDDZkWykjEfnq+vb4HqSXonu957UEauaPfu3Xa94K4ezZkhOTkZLy8vfvnlF7p162bb/9RTT3Hp0iV+//33G8YTExNDyZIl+fnnn7nvPutnrD59+jBv3jzc3NyytUhrVnL829izZ0/Gjx/P0KFDqV+/Plu3bmXRokW2RSyOHz/OmTNnbPW/+OILkpOTefjhh+2y8OPHjwfAaDSyfft2HnjgAapWrUrfvn1p2LAhK1euzHE3QhEREZFCJRnIWMzv2avKzGb4fYBtuCwNn7YrjklM4Z1frRN6P7H/H0xFjgDw4UcfQvcoa6U/grM8bcsQ6wJgqw4WnomeRURE5M5Us2ZN/Pz8bLfMqwNndr1FWiMiIrJ1rmst0vrNN98QHh7OmDFjWL58OZ07d85Rj8+bWrBiwIABDBiQ1bgN63jfzI4ePXrdtjw9Pfn7779vJgwRERGRwm0+cA4oBXS6qmzDl/bDZa/qITB60X5OX06kQnEvXts+l/ldiwDwyCOPQOMYmJQGh2vD9ktQt6jdsS1DSvC/ZYdYeeAcFovFNt+PiIiISEGTVc+72yG3FmnNivqBioiIiORXGdOr9MH+K9fzh2DpCOt2hw/A336Vuz2XDPy0ybrC2tjudfFKS7Zvt2ogVP8v/RwnHU57V4WieLoaORebxN6ImFt+GiIiIiLOkrHSb8btWsm73FikdfHixTlapDW7lLwTERERyY8igcXp25lHxF49XLbRM3aHxSSmMPuQ9SNen7uDCa10jflUOp623v/h51DkbjLStJJ1JbyVB6Ju4UmIiIiIFAz5eZFWJe9ERERE8qOfgDSgCRCSaf/Vw2WvGtI6atF+LiUbKF/Mk7c6VXNoNjk5vRfeY8XBkAqHy8FBx/XLWoSUAGDlAc17JyIiIneGQYMG8fXXXzNr1iz27NnDCy+8QFxcHE8/bf0mtXfv3gwePNhWf8yYMQwZMoTp06cTHBxMREQEERERxMbGAhAbG8ubb77JunXrOHr0KOHh4XTt2pUqVaoQFhaW7biUvBMRERHJj35Iv388074bDJddtu8sP6cPlx31YC283BynN65du7Z1o0FjqLjauv3teYd6rdIXrdhw5AKJKdmfUFlERESkoMqvi7Te1IIVIiIiInIbHQbWYf2a9ZH0fWYz/P5S+nDZ1g7DZaMTUxj82w4AWgWZaRJc7PrncPOCljvhcGv4xQwj7IurlPQm0NedyOgk/jt6gZbpPfFERERECrP8uEiret6JiIiI5Dez0+/bYl1pFtKHy65NHy472WG47Id/7ubM5UTKF/PkvvLmazYdGhp65UE3o/V+d0k4bV/PYDDYEnarNHRWRERExGmUvBMRERHJb35Lv8/odXeD4bL/7jvLTxtPYjDA6Adr4268dtPffvvtlQdNmkKZjdbtP1Id6rZMHzq7Qsk7EbkDGQwG5s2b5+wwaNOmDQMHDnR2GCLiREreiYiIiOQnx4BNWD+ldeWGw2UvJ6Qw+FfrcNk+dwfTONg/++cKqgu1llu3f4l2KG5exZq823MmmqiYpJw/FxGRfCoqKooXXniB8uXL4+7uTlBQEGFhYaxevdpW58yZM3Tu3NmJUd48g8HgcJs9e7at/LfffqNDhw6UKFECX19fmjVrluXQvilTphAcHIyHhwehoaFs2LDhuuedOXOmw3k9PDyuWf/555/HYDAwadIkh7IFCxYQGhqKp6cn/v7+dOvWLcs2zp8/T9myZTEYDFy6dMm2f9WqVTRv3pzixYvj6elJ9erVmThx4nWfY7Nmzdi0aZOt7MKFC7z88stUq1YNT09PypcvzyuvvMLly5dzFEtmq1evxmQyUb9+/evGktXr/dxzz1G5cmU8PT0pUaIEXbt2Ze/evbbybdu28dhjj1GuXDk8PT2pUaMGn376qV0b2X1dnCExMZE+ffpQp04dTCbTNX/mdyIl70RERETyk7np9y2AktgPl+3quLrsh3/uJiI6keDiXrwVVj1n53JxgQ7pSbuVPpBgXxzg7U6t0r4ArD6o3nciUnh0796dLVu2MGvWLPbv38/8+fNp06YN589fWcAnKCgoRxPK5zczZszgzJkztlvmRMiKFSvo0KEDCxcuZNOmTdxzzz3cf//9bNmyxVZnzpw5DBo0iGHDhrF582bq1atHWFgYZ8+eve55fX197c577NixLOvNnTuXdevWUbp0aYeyX3/9lV69evH000+zbds2Vq9ezeOPP55FK9C3b1/q1q3rsL9IkSIMGDCAFStWsGfPHt5//33ef/99vvrqq2s+x7p169K9e3fbczx9+jSnT59m/Pjx7Ny5k5kzZ7Jo0SL69u2bo1gyXLp0id69e9OuXTuHsuy83g0bNmTGjBns2bOHv//+G4vFQseOHUlLsy4stWnTJkqWLMl3333Hrl27eO+99xg8eDCff/55jl4XZ0lLS8PT05NXXnmF9u3bOzuc/MVSCJw4ccICWE6cOOHsUCSXJCcnW+bNm2dJTk52digichVdnyK3WUuLxYLFYplksVjOHbRYRgZaLMN8LZb//s+h6j97Iy0V3v7TEvzOn5YNR85bLJasr9G44DKW2jNrW2rPrG2JS46zb2TjNxaL73HrOf90DOfjhbstFd7+0zJoztZce4oid6rC+Dc0ISHBsnv3bktCQoKzQ8m2ixcvWgDLsmXLrlsPsMydO/ea5a1bt7a89NJLlpdeesni6+trKV68uOX999+3mM1mW53ExETL66+/bildurTFy8vL0qRJE8u///5rKz937pzl0UcftZQuXdri6elpqV27tuWHH35wOM+rr75qe/znn39afH19Ld99991Nx56VmjVrWkaMGGF73KRJE8tLL71ke5yWlmYpXbq0ZdSoUddsY8aMGRY/P78bnuvkyZOWMmXKWHbu3GmpUKGCZeLEibaylJQUS5kyZSzTpk27YTv/+9//LK1bt7aEh4dbAMvFixevW//BBx+0PPnkk7bHVz/HlJQUS6lSpSwff/zxNdv46aefLG5ubpaUlJQcx9KzZ0/L+++/bxk2bJilXr16dmU383pv27bNAlgOHjx4zTovvvii5Z577rlmucXi+LpkZdWqVZbWrVtbPD09LUWLFrV07NjRcuHCBYvFYv0dHTBggOXVV1+1FC1a1FKyZEnLV199ZYmNjbX06dPH4u3tbalcubJl4cKF1z1HZk899ZSla9euN6x3vfegwpQrUs87ERERkfwiEliVvt31quGyDZ+2q5p5uOzTd1ek8Y1Wl033yiuv2O+ocg9UXWTdnp/oUL9V+qIVKw9EYbFYsv1URETyK29vb7y9vZk3bx5JSbc2JcCsWbMwmUxs2LCBTz/9lAkTJjBt2jRb+YABA1i7di2zZ89m+/bt9OjRg06dOnHgwAHAOkywYcOGLFiwgJ07d9K/f3969ep1zeGpP/zwA4899hjff/89TzzxxHVje+mllwgICKBJkyZMnz79uu/hZrOZmJgYihWz/i1JTk5m06ZNdr2fXFxcaN++PWvXrr3ueWNjY6lQoQLlypWja9eu7Nq1y+FcvXr14s0336RWrVoOx2/evJlTp07h4uJCgwYNKFWqFJ07d2bnzp129Xbv3s0HH3zAN998g4vLjVMbW7ZsYc2aNbRu3fq6z7F169bXfY6XL1/G19cXk8mUo1hmzJjB4cOHGTZsmEPZzbzecXFxzJgxg4oVK1KuXLnrxpvxc83K1a9LVrZu3Uq7du2oWbMma9euZdWqVdx///22Hn9gvRYCAgLYsGEDL7/8Mi+88AI9evTg7rvvZvPmzXTs2JFevXoRHx9/zfPItSl5JyIiIpJfzAcsQCPgzNRsDZetGFCEN8OqZfsUixYtst/hVxYapM+X87fjohUNK/jjbnLhbEwSB87G5uz5iMgda8KECZQtW5ayZcuybNkyu7IjR47Yyl5++WWHYx944AFb+dVmzpxpK/vtt98cyrPDZDIxc+ZMZs2aRdGiRWnevDnvvvsu27dvz3Fb5cqVY+LEiVSrVo0nnniCl19+2TZ/2PHjx5kxYwY///wzLVu2pHLlyrzxxhu0aNGCGTNmAFCmTBneeOMN6tevT6VKlXj55Zfp1KkTP/30k8O5pkyZwosvvsgff/zBfffdd924PvjgA3766SeWLFlC9+7defHFF5k8efI1648fP57Y2FgeecS6UtK5c+dIS0sjMDDQrl5gYCARERHXbKdatWpMnz6d33//ne+++w6z2czdd9/NyZMnbXXGjBmDyWRy/DIp3eHDhwEYPnw477//Pn/++Sf+/v60adOGCxcuAJCUlMRjjz3GuHHjKF++/HVfi7Jly+Lu7k6jRo146aWXePbZZ6/7HEuUKEFkZGSWbZ07d46RI0fSv39/277sxHLgwAHeeecdvvvuO7ukX+Z2s/t6/+9//7MloP/66y+WLFmCm5tbludds2YNc+bMsYs3w7Vel6yMHTuWRo0a8b///Y969epRq1YtBgwYQEBAgK1OvXr1eP/99wkJCWHw4MF4eHgQEBBAv379CAkJYejQoZw/f/6mrjMBx98aEREREXGOjP9Dw85D+AfW7Y4joaj9PwP/7j3Lz5usq8uOe7gunm7XWV42Ozp6w7RUOOZtXTAj02K2Hq5GQisVZ8X+KFbsj6JqoM+tnUtE7gjR0dGcOnUKwKF3W1pamq3s4sWLDsdGRUXZyq8WFxdnK7uVHjzdu3fn3nvvZeXKlaxbt46//vqLsWPHMm3aNPr06ZPtdpo2bYoh05crzZo145NPPiEtLY0dO3aQlpZG1apV7Y5JSkqiePHigPW1+Pjjj/npp584deoUycnJJCUl4eXlZXfML7/8wtmzZ1m9ejWNGze+YVxDhgyxbTdo0IC4uDjGjRuXZcLshx9+YMSIEfz++++ULFky2889K82aNaNZs2a2x3fffTc1atTgyy+/ZOTIkWzatIlPP/2UzZs3271umZnNZgDee+89unfvDlh7rZUtW5aff/6Z5557jsGDB1OjRg2efPLJG8a0cuVKYmNjWbduHe+88w5VqlThsccey/Fzi46O5t5776VmzZoMHz7ctv9GsaSlpfH4448zYsQIh9+Fm/HEE0/QoUMHzpw5w/jx43nkkUdYvXq1w8IgO3fupGvXrgwbNoyOHTs6tJOT12Xr1q306NHjunFlnuvPaDRSvHhx6tSpY9uXkZjMmMOvVq1atvkQW7ZsyV9//ZWNZ3/nUvJOREREJD+4DISnb3u+DSnXHi77zm/Wb62faV6RRtkcLpthxYoVjjvrNIOyG+FEU1gCXPXle6uQAFbsj2LlgXM827JSjs4nIncmX19fypQpA+Cw6IPRaLSV+fs7rpBdokQJW/nVihQpYiu7OsGVUx4eHnTo0IEOHTowZMgQnn32WYYNG5aj5N31xMbGYjQa2bRpE0aj/Zcs3t7eAIwbN45PP/2USZMmUadOHYoUKcLAgQNJTk62q9+gQQM2b97M9OnTadSo0TUTX9cSGhrKyJEjSUpKsvt5zJ49m2effZaff/7ZbshmQEAARqPRoQdaZGQkQUFB2T6vq6srDRo04ODBg4A1YXT27Fm7HmppaWm8/vrrTJo0iaNHj1KqVCkAatasaavj7u5OpUqVOH78OAD//PMPO3bs4JdffgGwDQkOCAjgvffeY8SIEbZjK1asCECdOnWIjIxk+PDhPPbYY9d8jlFRUQ494GJiYujUqRM+Pj7MnTsXV1dXW9mNYnnttdfYuHEjW7ZsYcCAAYA1QWmxWDCZTCxevJgWLVpk+/X28/PDz8+PkJAQmjZtir+/P3PnzrVLvO3evZt27drRv39/3n///Sx/Ntd6XbLi6emZ5f7MMr8mYF3xOPO+jN/ZjOTswoULSUlJyXb7dzol70RERETygwVAChB8AVJ+vuZw2ZF/7iYyOomKAUV4o2P2h8tmyPKfruAWUHmKNXn3Zyw8621X3CLEOixm/ZHzJKWm4W66xZ5+IlLoDRo0iEGDBmVZVrFiRbthlFebP3/+Ncv69OmTa8m1q9WsWZN58+bl6Jj169fbPV63bh0hISEYjUYaNGhAWloaZ8+epWXLllkev3r1arp27WrrtWU2m9m/f79d4gqgcuXKfPLJJ7Rp0waj0Wi3emh2bN26FX9/f7vE3Y8//sgzzzzD7Nmzuffee+3qu7m50bBhQ8LDw22r1JrNZsLDw20JqOzI6IHYpUsXAHr16uWwimhYWJhtZVmwrqjq7u7Ovn37aNGiBQApKSkcPXqUChWsXcN//fVXEhKuLJH+33//8cwzz7By5UoqV658zXjMZrOtJ+i1nuOKFSvsnmN0dDRhYWG4u7szf/58hx5uN4rF19eXHTt22B3zv//9j3/++YdffvmFihUr3vTrbbEuN2XXu3XXrl20bduWp556io8++uiax17rdclK3bp1CQ8Pt0uK3qqMn6Vkj5J3IiIiIvlBxpDZCrOs91kMl/1nbyS/5OZw2Qzu3nD3WVgG/GuCNCBT09UCfSjh405UTBKbjl7k7ioB12hIRCT/O3/+PD169OCZZ56hbt26+Pj4sHHjRsaOHUvXrl1z1Nbx48cZNGgQzz33HJs3b2by5Ml88sknAFStWpUnnniC3r1788knn9CgQQOioqIIDw+nbt263HvvvYSEhPDLL7+wZs0a/P39mTBhApGRkQ7Ju4z2/v33X9q0aYPJZGLSpElZxvTHH38QGRlJ06ZN8fDwYMmSJXz88ce88cYbtjo//PADTz31FJ9++imhoaG2edU8PT3x8/MDrAnYp556ikaNGtGkSRMmTZpEXFycLckG0Lt3b8qUKcOoUaMA61x7TZs2pUqVKly6dIlx48Zx7Ngx23xqxYsXtw0ZzuDq6kpQUBDVqlm/kPL19eX5559n2LBhlCtXjgoVKjBu3DgA29DNqxN0586dA6BGjRoULVoUsM4RWL58eapXrw5Ye56PHz/ebujw1c9x4sSJxMXF2RLE0dHRdOzYkfj4eL777juio6OJjo4GrD1EjUZjtmKpXbu2XZ2SJUvi4eFht/9Gr/fhw4eZM2cOHTt2pESJEpw8eZLRo0fj6elpS47u3LmTtm3bEhYWxqBBg2w/V6PRSIkSJbL9ulxt8ODB1KlThxdffJHnn38eNzc3/v33X3r06GE3711u2L17N8nJyVy4cIGYmBi2bt0KQP369XP1PAWNknciIiIizpYMLLYABgiZD5XaOA6XjU9h8G/Wb+773sRw2RtqVwo+uQzRfrAF66IZ6QwGAy2rBPDbllOsPHhOyTsRKdC8vb0JDQ1l4sSJHDp0iJSUFMqVK0e/fv149913c9RW7969SUhIoEmTJhiNRl599VW7xQFmzJjBhx9+yOuvv86pU6cICAigadOmtgUn3n//fQ4fPkxYWBheXl7079+fbt26cfny5SzPV61aNf755x9bD7yMRGFmrq6uTJkyhddeew2LxUKVKlWYMGEC/fr1s9X56quvSE1N5aWXXuKll16y7X/qqaeYOXMmAD179iQqKoqhQ4cSERFB/fr1WbRokd2Q0uPHj9utrnrx4kX69etHREQE/v7+NGzYkDVr1mSZjLyecePGYTKZ6NWrFwkJCYSGhvLPP/9kOcz6WsxmM4MHD+bIkSOYTCYqV67MmDFjeO6552x1snqOv/zyi+05bt682da7skqVKnbtHzlyhODg4Bw9r+u50evt4eHBypUrmTRpEhcvXiQwMJBWrVqxZs0a21yFv/zyC1FRUXz33Xd89913trYrVKjA0aNHs/26XK1q1aosXryYd999lyZNmuDp6UloaOhNzR14I126dLHNhQfWIePAHb/ivcFSCF6BkydPUq5cOU6cOJHlikRS8KSkpLBw4UK6dOniMHZeRJxL16fIbbAMuAfwioLBDWDAGoded6//tI1fN5+kYkARFr7S8pq97rK6RuMrliV0uPUfno8DP+b+Tvc7HnhyE7Q/A/vugw/T4D379uduOclrc7ZRu4wvf76c9fAvEbm+wvg3NDExkSNHjlCxYkWH4YSFXZs2bahfv/41e8BJwWM2m4mOjsbX19cuKSn51/XegwpTrki/jSIiIiLO9lv6aotVwqHTB1kOl/11c+4Ml33hhReyLihdH6qlz920MM6huHl6b7tdp6M5H3vteXFEREREJHcpeSciIiLiTOa0K8m7u09lOVz2nV9v43DZDC5GuCc9KfefF8TbF5f08aB6kA8WC6w+dP72xCAiIiIiDpS8ExEREXGmP76DU5XAYIY3ejqsLjviz12cjUmiUkAR3gjL+eqyV3v99devXdi8BvgdgxQTrHAsbpm+6uyqA1G3HIeISEG3bNkyDZkVkTyh5J2IiIiIs8RfgBnbrNu1zkFl+/lYNh27yG+bT1mHy/aoi4frra8ue70JqalyD1RaZt1e6Dg0tmWIdaW6lQfO3fETR4uIiIjkFSXvRERERJxl75+wv411u3sJh+Lft54CoFv9MjSscJuGy2bmHwz1dlm3/3ZM3jWpWAw3kwtnLidyKCr29scjIiIiIkreiYiIiDjN9j/hcGvrdhf74bJms4W/dkYAcH+9UnkXU3tP6/1+X7hqajsPVyNN0ufcW3ngXN7FJCIiInIHU/JORERExBkSLsKKBEjyg+Jp0Mi+eNPxi0TFJOHjYbKt9Jon7moMJfZYt1c6FmfMe6fknYiIiEjeUPJORERExBn2/QX721q3OxkdPpUt2H4GgA41AnE33fpcdxnuuuuu61eo2BIqrLFuL4p2KG6Rnrxbd/g8yanmXItLRERERLKm5J2IiIiIM+yaBwfbW7c72xeZzRYWpQ+Z7VInd4fMxsbeYK46Dz9oaE0c8m+KQ3GNIF8CvN2IT05j8/GLuRqbiNy54pNTCX5nAcHvLCA+OdXZ4YiI5CtK3omIiIjktcTLsGU3RNYBgwXC7Iu3nLhERHQi3u4mW0+33BISEnLjSh39rPcH/OGq/JyLi8E2jHeVhs6KSCFmMBiYN29errc7fPhw6tevn6Nj2rRpw8CBA50eh4g4h5J3IiIiInlt3yI4kL5QRWMDXJWfW7jD2vOtXY2SeLjm3pBZgAULFty4UqMmUHw/WFxgeZpDccsQ68q4Kw9E5WpsIiJ5JSoqihdeeIHy5cvj7u5OUFAQYWFhrF692lbnzJkzdO7c+Tqt3Jw33niD8PDwHB3z22+/MXLkyFyPRUQKhptK3k2ZMoXg4GA8PDwIDQ1lw4YN16z79ddf07JlS/z9/fH396d9+/YO9S0WC0OHDqVUqVJ4enrSvn17Dhw4cDOhiYiIiOR/u3+Hgx2s21f9X2ixWPgrPXmX20Nms61MQ6i83rq90LF3XcaiFdtPXeZSfHJeRiYikiu6d+/Oli1bmDVrFvv372f+/Pm0adOG8+evLLMdFBSEu7t7rp3TYrGQmpqKt7c3xYsXz9GxxYoVw8fHJ9diEZGCJcfJuzlz5jBo0CCGDRvG5s2bqVevHmFhYZw9ezbL+suWLeOxxx7j33//Ze3atZQrV46OHTty6tQpW52xY8fy2WefMXXqVNavX0+RIkUICwsjMTHx5p+ZiIiISH6UGA37/oVDbayPr0rebTt5mdOXE/FyM9K6aok8Dw8AowmaXLZuL7c4FAf6elA10BuLBVYfPO9QLiKSn126dImVK1cyZswY7rnnHipUqECTJk0YPHgwDzzwgK3ejYbNJiUl8corr1CyZEk8PDxo0aIF//33n6182bJlGAwG/vrrLxo2bIi7uzurVq1yGK6amprKK6+8QtGiRSlevDhvv/02Tz31FN26dbPVuXrYbHBwMB9//DHPPPMMPj4+lC9fnq+++souvrfffpuqVavi5eVFpUqVGDJkCCkpjnOZikj+l+Pk3YQJE+jXrx9PP/00NWvWZOrUqXh5eTF9+vQs63///fe8+OKL1K9fn+rVqzNt2jTMZrOtm7DFYmHSpEm8//77dO3albp16/LNN99w+vTp2zK/gIiIiIhTHVgMx+pBUlEoboFG9sUZQ2bbVs/9IbM50rmY9f5ASbjkWKyhsyKSFYvFQnxy6nVv52ITHW7nY5NsbZyPTcqyzo3atVgcv2zIire3N97e3sybN4+kpKQbH3ANb731Fr/++iuzZs1i8+bNVKlShbCwMC5cuGBX75133mH06NHs2bOHunXrOrQzZswYvv/+e2bMmMHq1auJjo7O1v/Cn3zyCY0aNWLLli28+OKLvPDCC+zbt89W7uPjw8yZM9m9ezeffvopX3/9NRMnTrzp5ysizmPKSeXk5GQ2bdrE4MGDbftcXFxo3749a9euzVYb8fHxpKSkUKyY9QPhkSNHiIiIoH379rY6fn5+hIaGsnbtWh599FGHNpKSkuzeZGNiYgDrNxb6JqFwyPg56ucpkv/o+hS5Ncadc3FJHzJr7mAhzZwKZmuZxWJh4fbTAITVLHlT11lW12jmf2eHDh3KqA9G3bihhg1xLXYQLlQhdWkslq72Q8eaVSzK/62yJu+Sk5MxGAw5jlXkTlMY/4ampKRgsVgwm82YzWbik1OpPXzJLbXZcuyymzpu5/AOeLnd+F9cFxcXpk+fznPPPcfUqVO56667aNWqFT179nRIrmU8r6vFxcXxxRdfMH36dMLCrKsOffnllyxZsoRp06bxxhtv2I4bPnw47dq1sx2bkWTMKJ88eTLvvPMOXbt2BeCzzz5j4cKFttc183GZH3fu3Jnnn38egDfffJOJEycSHh5uW5jo3XfftdUtX748r7/+OnPmzOGNN97IMg658ppc/VpL/mU2m7FYLKSkpGA02n/pmZpaeFauzlHy7ty5c6SlpREYGGi3PzAwkL1792arjbfffpvSpUvbknURERG2Nq5uM6PsaqNGjWLEiBEO+8PDwwkIyN0V2cS5liy5tT/8InL76PoUyTljWiKd9/8NB98GYEvgFk4uPGkrPx4LJy+ZcHOxkHh4EwuP3fy5Ml+jLTN96Tlr1ixaNm154wYsFrpUSsT1QhXO/t92/nO172GXlAZGg5FTlxKZ9dtflPS8+VhF7jSF6W+oyWQiKCiI2NhYkpOTSUh2XOQmr8REx5Dqlr0eyx06dGD37t2sXbuWjRs3smTJEsaNG8dnn33G448/bquXkJBAdHS0w/E7d+4kJSWFunXr2pU3aNCA7du3Ex0dTXx8PADVqlWzq5OUlERaWhrR0dFcvnyZyMhIatasaVenbt26pKam2valpqaSnJxse2w2m6latardMSVKlODkyZO2fb/99htffvklR48eJS4ujtTUVHx8fGzlmeMQexkdhCT/S05OJiEhgRUrVjgk686dc5y3NzumTJnCuHHjiIiIoF69ekyePJkmTZpkWffrr7/mm2++YefOnQA0bNiQjz/+2K6+xWJh2LBhfP3111y6dInmzZvzxRdf2BLt2ZGj5N2tGj16NLNnz2bZsmV4eHjcdDuDBw9m0KBBtsenTp2iZs2atGvXjjJlyuRGqOJkKSkpLFmyhA4dOuDq6urscEQkE12fIjfPsHsextXFIMLas6Pum3WpW/JKL49xi/cDR2lbI4hu99e7qXNkdY0mZ5pw3d3dnS5dumSrLeOKH2AjlDpUji5dGjuU/xb1H+uOXMRUtjZdQsvfVLwid5LC+Dc0MTGREydO4O3tjYeHBz4WCzuHd7juMfFZJPgSktNoPX45AMvfaI1nFkk4rxsk5jxdjTnqBezr60vXrl3p2rUrI0eOpF+/fowZM8bWmw3A09MTX19fh2O9vb0B69DUzOUmkwlXV1d8fX3x8vICrAtfZK7j7u6O0WjE19fX1tOrSJEiDu2YzWbbPpPJhJubm+2xi4vLdc+9du1a+vfvz/Dhw+nYsSN+fn7MmTOHCRMm2I7JHIdYWSwWYmJi8PHxUY/yAiIxMRFPT09atWrlkGfKvNZCdmWs8zB16lRCQ0OZNGkSYWFh7Nu3j5IlSzrUz1jn4e6778bDw4MxY8bQsWNHdu3aZctPZazzMGvWLCpWrMiQIUMICwtj9+7d2c6N5Sh5FxAQgNFoJDIy0m5/ZGQkQUFB1z12/PjxjB49mqVLl9p1Rc44LjIyklKlrqyoFhkZaTeJZ2bu7u52q/5kfFOQ8WYlhYerq6t+piL5lK5PkZuw7084mD5VSCNwLXPlGrJYLPy927oA2H31St/y9ZX5Gs08QG/u3LnZb/u+IJgIhoOlcU0wwlX/37WqVpJ1Ry6y+tBFnm5R+ZbiFbmTFKa/oWlpaRgMBlxcXHBxsU6p7m28fpLNO4v/VeOTr/SYKeHrka3hr7mtVq1a/P7777bnAdg9r8xCQkJwc3Nj7dq1VKxYEbAmZzdu3MjAgQPtjru6jYykkIuLC/7+/gQGBrJp0ybatGkDWF/TLVu2UL9+fYfjrvc4875169ZRoUIF3n//fVvZ8ePHbee9Og6xyhgqm9VrK/mTi4sLBoMhy/dVkynn7yOZ13kAmDp1KgsWLGD69Om88847DvW///57u8fTpk3j119/JTw8nN69ezus8wDwzTffEBgYyLx587KcKi7L55mTJ+Hm5kbDhg1ti00AtsUnmjVrds3jxo4dy8iRI1m0aBGNGtnPylyxYkWCgoLs2oyOjmb9+vXXbVNERESkQEmOty5WkT7f3dWrzO46Hc2x8/G4m1y4p5rjN7u5pVatWtmv3KwJ+B8BixGWOA49aZW+aMW6w+dJSdPcQCJSMJw/f562bdvy3XffsX37do4cOcLPP//M2LFjbf9c30iRIkV44YUXePPNN1m0aBG7d++mX79+xMfH07dv3xzF8/LLLzNq1Ch+//139u3bx6uvvsrFixdvqedXSEgIx48fZ/bs2Rw6dIjPPvuMuXPn3nR7IneCjHUeMq/JcLvXeciuHKchBw0axFNPPUWjRo1o0qQJkyZNIi4uzpaV7N27N2XKlGHUKOtEyGPGjGHo0KH88MMPBAcH2+axy1jhx2AwMHDgQD788ENCQkJsXQhLly5ttzS2iIiISIF2cCkkJcGR9EnLr0re/bXTuspsm2olKOKe9z1OsuTpDzXWw5qKsCACutvPLVyzlC/FirhxIS6ZrScu0Ti4mJMCFRHJPm9vb0JDQ5k4cSKHDh0iJSWFcuXK0a9fP7tFHm5k9OjRmM1mevXqRUxMDI0aNeLvv//G398/R/G8/fbbRERE0Lt3b4xGI/379ycsLMxh8v2ceOCBB3jttdcYMGAASUlJ3HvvvQwZMoThw4ffdJsiBVVMTIzd3I5Xj+bMkF/WechKjj8Z9uzZk6ioKIYOHUpERAT169dn0aJFtkCOHz9u1730iy++IDk5mYcfftiunWHDhtneON566y3i4uLo378/ly5dokWLFixatOiW5sUTERERyVd2z4OTjSHBF4oBmeY9tlgsLNxh/QDXpU6pLA93muYpsAZY4/gh18XFQPMqAfyx7TQrD5xT8k5ECgR3d3dGjRpl63ByLRnz0V2Lh4cHn332GZ999lmW5W3atMmyjeHDh9sl0UwmE5MnT2by5MmAdXRbjRo1eOSRR2x1li1bZtfG0aNHHdrdunWr3eOxY8cyduxYu30DBw68ZhwihVXNmjXtHmfOR+Wm3FrnISs39bXugAEDGDBgQJZl2XlTuZrBYOCDDz7ggw8+uJlwRERERPK3lATY/zccHGh93BHI1KFib0QMR87F4WZyoW312zdkFqz/3N3d+O7sH3BfaRgHHKwAcWYoYj/rSktb8i6KQR2q5m6wIiJ3gGPHjrF48WJat25NUlISn3/+OUeOHLFb9VZEbt7u3bvtFjfNqtcd5J91HrKiGRhFREREbrdD/0ByLBxJX+X16iGzO6xDZluFlMDH4/ZOYp+5J0e23F0XfCIgzQ3+PuxQ3CLEOpR224lLXE5IcSgXEckOLzcTR0ffy9HR9zplsQpncnFxYebMmTRu3JjmzZuzY8cOli5dSo0aNZwdmkihkLEyc8btWsm7/LzOw531rigiIiLiDLt/h9iScDJ9sYgw++KFO61DZu+te/1vdZ3C5Aq1DsO6IFh4Fh6qYldcuqgnlUsU4VBUHGsPnaNT7Xw27FdEJJ8rV64cq1evdnYYIkL+XedByTsRERGR2yk1Cfb9BQfvtT5uCGSas3h/ZAwHz8biZnShXY3ALJvITRkfPnOkRRqsA9Z5ZVncMqQEh6LiWHFAyTsREREpuPLrOg9K3omIiIjcTof+haRoOPaA9fFVQ2YXpg+ZbRkSgO9tHjILMHjw4JwfdH85GA8cCIG4eChin8RrGRLAzDVHWXXgXO4EKSIiIuIk+XGdB815JyIiInI77f4dzEY42Mb62GG+O+vwis75bZXZzJpXAM/LkFwEFu10KG5aqTiuRgPHL8Rz7HycEwIUERERKbyUvBMRERG5XVKTYd8CONUQYr3AHwi9UnzwbCz7ImNwNRrokAdDZm+a0QB1jlm3F513KC7ibuKu8v4ArFTvOxEREZFcpeSdiIiIyO1yZDkkXoZj3ayPOwLGK8UZq8w2rxKAn9ftHzJ7S1ql36/3zrK4ZfqqsysPROVRQCIiIiJ3BiXvRERERG6X3fOs99ea7y59ldkuebjIQ4cOHW7uwPsqWO8P1IbLEQ7FLUNKALDm0HlS08w3G56I3KmS42C4n/WWrOH3IiKZKXknIiIicjukpcDeBRBbAg6Ws+4Lu1J85Fwce85EY3Qx0KFm3g2ZPXbs2M0deLcfuMdDoj8s2eJQXLuMH36ersQkprLt5OVbjFJExPkMBgPz5s27be0PHz6c+vXr2x736dOHbt262R63adOGgQMH3rbz55arn4eI5D4l70RERERuhyMrIOEinOhmfdwACLpSnLHK7N2Vi+NfxC3PwvL397+5A12BWtaY+fuiQ7HRxUCLKtahs1p1VkTyu6ioKF544QXKly+Pu7s7QUFBhIWFsXr1aludM2fO0Llz5+u0krs+/fRTZs6cmSfnUsJNpGBR8k5ERETkdtj9u/X+zOPW+6tXmd1pTYR1yeNVZtevX3/zB7dJn7DvP1+wWByKW2jeOxEpILp3786WLVuYNWsW+/fvZ/78+bRp04bz568syhMUFIS7u3uexeTn50fRokVvqY3k5OTcCUZE8hUl70RERERyW1oq7P0TzC6wo451X6bk3fHz8ew8ZR0y2zEPh8zesntLW+8PNYSIXQ7FGT3vtpy4RHRiSl5GJiKSbZcuXWLlypWMGTOGe+65hwoVKtCkSRMGDx7MAw88YKt3o2GzZrOZsWPHUqVKFdzd3SlfvjwfffSRrfztt9+matWqeHl5UalSJYYMGUJKyrXfG68eNguQmprKgAED8PPzIyAggCFDhmDJ9OVJcHAwI0eOpHfv3vj6+tK/f/8bnnvmzJmMGDGCbdu2YTAYMBgMth5/ly5d4tlnn6VEiRL4+vrStm1btm3bZhfT6NGjCQwMxMfHh759+5KYmHjd11tEbp3J2QGIiIiIFDrHVkP8eTjfFi65QlGg6ZXihem97ppWKkZx77zr1XHLmrmBKQViS8HKJfBIbbvicsW8qBRQhMPn4lh36DwdawVdoyERKbQsFkiJv36d5CzKM++LPQduWdRx87p+u65eYDDcMERvb2+8vb2ZN28eTZs2venedYMHD+brr79m4sSJtGjRgjNnzrB3715buY+PDzNnzqR06dLs2LGDfv364ePjw1tvvZXtc8yaNYu+ffuyYcMGNm7cSP/+/Slfvjz9+vWz1Rk/fjxDhw5l2LBh2Tp3z5492blzJ4sWLWLp0qWAtdcfQI8ePfD09OSvv/7Cz8+PL7/8knbt2rF//36KFSvGTz/9xPDhw5kyZQotWrTg22+/5bPPPqNSpUo39RqKSPYoeSciIiKS2zJWmT1v7QFBB+w+dWXMd9c5D1eZzRWeQK0o2FYaFkfDI45VWoQEcPhcHCsPnFPyTuROlBIPH5e+tTY+q3tzx717GtyK3LCayWRi5syZ9OvXj6lTp3LXXXfRunVrHn30UerWzd65Y2Ji+PTTT/n888956qmnAKhcuTItWrSw1Xn//fdt28HBwbzxxhvMnj07R8m7cuXKMXHiRAwGA9WqVWPHjh1MnDjRLnnXtm1bXn/9dbvjrnduT09PvL29MZlMBAVdeZ9etWoVGzZs4OzZs7aE5vjx45k3bx6//PIL/fv3Z9KkSfTt25e+ffsC8OGHH7J06VL1vhO5zTRsVkRERCQ3mdNgzx/W7T13W+8zDZk9cSGe7Scv42KAMCcktyZPnnxrDbROX1xjc3FIcfxnrWVICQBWHdSiFSKSf3Xv3p3Tp08zf/58OnXqxLJly7jrrruyvWDEnj17SEpKol27dtesM2fOHJo3b05QUBDe3t68//77HD9+PEdxNm3aFEOm3oTNmjXjwIEDpKWl2fY1atQoV869bds2YmNjKV68uK13ore3N0eOHOHQoUO25x0aGmp3XLNmzXL0nEQk59TzTkRERCQ3HV8LcVGQWgl2+Fr3dbpSvGhnBABNKhajhE/eD5mdPHkybw96++Yb6FQcPgOONoUT66BSG7vippWKYXQxcORcHCcuxFOu2A2GuYlI4eLqZe0Bdz3XGjab0ePule1ZD5HNzrDZHPDw8KBDhw506NCBIUOG8OyzzzJs2DD69Olzw2M9PT2vW7527VqeeOIJRowYQVhYGH5+fsyePZtPPvkkRzFmR5Ei9r0Nb/bcsbGxlCpVimXLljmU3epCGiJya5S8ExEREclNGavMxg4EiwHqA5lGxy7Y4ZxVZnNNcwO4mOFiRVj/i0PyzsfDlbvKF+W/oxdZdfAcjzUp75w4RcQ5DIYbD13Nqjw57sq2d0C2hr/mtpo1a153gYrMQkJC8PT0JDw8nGeffdahfM2aNVSoUIH33nvPtu/YsWM5junqFcLXrVtHSEgIRqPxmsdk59xubm52vfcA7rrrLiIiIjCZTAQHB2fZdo0aNVi/fj29e/e2i0lEbi8NmxURERHJLWYz7J5v3T7Q0Xp/75XiU5cS2HriEgYDdHLSfHD/93//d2sN+ALVL1m3l8ZlWaVFFevQ2ZUHom7tXCIit8H58+dp27Yt3333Hdu3b+fIkSP8/PPPjB07lq5du2arDQ8PD95++23eeustvvnmGw4dOsS6dets77EhISEcP36c2bNnc+jQIT777DPmzp2b41iPHz/OoEGD2LdvHz/++COTJ0/m1Vdfve4x2Tl3cHAwR44cYevWrZw7d46kpCTat29Ps2bN6NatG4sXL+bo0aOsWbOG9957j40bNwLw6quvMn36dGbMmMH+/fsZNmwYu3Y5rj4uIrlLyTsRERGR3HJiPcRGgKkYrElPzmVK3mUMmW1coRglfT2cECC0bNny1hu5Jz327WUh1jFB17JqAACrD54nzWy59fOJiOQib29vQkNDmThxIq1ataJ27doMGTKEfv368fnnn2e7nSFDhvD6668zdOhQatSoQc+ePTl79iwADzzwAK+99hoDBgygfv36rFmzhiFDhuQ41t69e5OQkECTJk146aWXePXVV+nfv/91j8nOubt3706nTp245557KFGiBD/++CMGg4GFCxfSqlUrnn76aapWrcqjjz7KsWPHCAwMBKBnz54MGTKEt956i4YNG3Ls2DFeeOGFHD8vEckZg8ViKfCfqE6ePEm5cuU4ceIEZcuWdXY4kgtSUlJYuHAhXbp0wdXV1dnhiEgmuj5FruOvd2D9F2AcAkPfgAAgAkgf3dT9izVsOnaRYffX5OnmFW9LCFldo/EVyxI63B+A9Y+vxyuH80I5mAs8BJTYDeG7oc7DdsWpaWYajFxCTGIq815qTv1yRW/tfCKFRGH8G5qYmMiRI0eoWLEiHh638KVEctyVVWqzuWqsSG4zm81ER0fj6+uLi4v6OhUE13sPKky5Iv02ioiIiOQGsxn2pA+ZPf6Q9b4TtsRdxOVENh27CEDn2gV0vrsMLdLvo2rClvUOxSajC80rW3vfrdyvobMiIiIit0LJOxEREZHccGojRJ8CNx9YE2zdZzdk1rpQRcMK/gT5OWfILNzchOkOSgCV0+e7+zceshjIkTF0duXBc7d+PhEp/NyKwPDL1pt63YmI2FHyTkRERCQ3ZKwy6/8E7Hax9rgLu1K8cId1vrvOtZ2zUEWGDh065E5Dbd2t93urQ9Q+h+KW6YtWbD52kdik1Nw5p4iIiMgdSMk7ERERkVtlsVxJ3p1+0np/N2CdZo6z0Yn8d+wCAJ3rFPAhsxnamKz3x5vD4X8dissX96JCcS9SzRbWHz6fx8GJiIiIFB5K3omIiIjcqtOb4fIJcC0CG2ta92UaMvv3rggsFqhfrihlino6J8Z0DzzwQO40lLFo7Zm6sHNNllVaVEkfOntAQ2dFREREbpaSdyIiIiK3atc8632F+2FZ+goVmZJ3C3ZY57vrUse5Q2YBxo8fnzsNlQPKJYPFBKtSIDXJoUrLEOvQ2ZUHtGiFiIiIyM1S8k5ERETkVmQeMnu5DyQCFYBa1l1RMUlsOJI+ZLagrzJ7tTau1vvDDeHEBofiZpWL42KAQ1FxnL6UkMfBiYiIiBQOSt6JiIiI3Ioz2+DSMTB5wrZG1n33Agbr5uLdEZgtULesH+WKeTktzNuidfqTPN4sy3nv/DxdqV+uKACrNHRWRERE5KYoeSciIiJyKzJ63YV0hEXpPdEyDZldmD5kttD1ugNolX5/shHsXZVllYyhsys0dFZEriM+JZ46s+pQZ1Yd4lPinR2OiEi+clPJuylTphAcHIyHhwehoaFs2OA4TCLDrl276N69O8HBwRgMBiZNmuRQZ/jw4RgMBrtb9erVbyY0ERERkbxjscDuedZt115wAvAE7rHuOh+bxLrD1iGz+WG+O4BHHnkk9xqrApRMgzQP2GiE+AsOVVqGWBetWH3wHGazJffOLSJSALVp04aBAwfaHgcHB2f5P3JmBoOBefPm3da4RCR/y3Hybs6cOQwaNIhhw4axefNm6tWrR1hYGGfPns2yfnx8PJUqVWL06NEEBV37Q2utWrU4c+aM7bZqVdbf3oqIiIjkG5E74cJhMHnA7vRuaG2xJvCAJbsjSTNbqFXalwrFizgtzMy2bt2ae40ZgNbpC3QcuxsOL3OoUq9cUXzcTVyMT2HX6ejcO7eISCHw33//0b9//1xtc/jw4dSvXz9X27yR7du307JlSzw8PChXrhxjx47N0/OLFHY5Tt5NmDCBfv368fTTT1OzZk2mTp2Kl5cX06dPz7J+48aNGTduHI8++iju7u7XbNdkMhEUFGS7BQQE5DQ0ERERkbyVMWS2Snv4O/1zTparzBbCIbMZMobOXmPeO1ejC00rFwc0dFZE5GolSpTAy6tgz4caHR1Nx44dqVChAps2bWLcuHEMHz6cr776ytmhiRQappxUTk5OZtOmTQwePNi2z8XFhfbt27N27dpbCuTAgQOULl0aDw8PmjVrxqhRoyhfvnyWdZOSkkhKSrI9jomJASA1NZWUlJRbikPyh4yfo36eIvmPrk+RdBYLpl1zMQCpQQ9hXGPBgIGUjimQAhfjk1lz6DwAHaoH5Nk1k9U1mnmw6u7du3M3lqbgiiucCMWybxCpyclgMNhVaV7JnyW7I1m5/yz9W1TIvXOLFDCF8W9oSkoKFosFs9mM2Wy+6XYyH3urbeXknJ988glff/01J06cIDAwkP79+/Puu+/yzjvvMG/ePE6ePElQUBCPP/44Q4YMwdXVOrfpiBEj+P3333nttdcYNmwYFy9epFOnTnz11Vf4+PgAEBcXx4svvsjcuXPx8fHh9ddfB7C9XgCVKlXi1Vdf5dVXXwWs/xf369ePDRs2UKlSJSZOnOjwmlwvtpkzZzJixAjAOtwW4P/+7//o06cPly5d4s0332T+/PkkJSXRqFEjPvnkE+rVqwfAtm3bGDRoEBs3bsRgMBASEsIXX3xBo0aNrvs6fvvttyQnJzNt2jTc3NyoUaMGW7ZsYcKECTz77LO59vPKCxaLxXafF7+DcuvMZjMWi4WUlBSMRqNdWWpqqpOiyn05St6dO3eOtLQ0AgMD7fYHBgayd+/emw4iNDSUmTNnUq1aNc6cOcOIESNo2bIlO3futL3xZTZq1CjbG1Jm4eHh6rFXyCxZssTZIYjINej6lDudT8JJ2p4/SJrBxM65palvNnC5wmWW7VwGO2HdWQNpZiOlvSzs2bCcPXkcX+ZrtGWmLz3//vtv3AxuuXeiNOhcpDNucT4YDhRj+dzpxHnY9zRMSQAw8d/RC8z9YyHuxixbErljFKa/oRkjqGJjY0lOTsZisZCYlnjdYxJSExz2JaZeOeZ41HE8TB4OdTxNntdt18PoYUtYZcewYcP45ptv+Pjjj2natCkREREcOHCA6Oho3NzcmDx5MqVKlWLXrl0MHDgQV1dXW5ItKSmJQ4cO8euvv/LDDz9w6dIlnnnmGT744AOGDBkCwOuvv86yZcv4/vvvCQgIYOTIkWzevJkaNWoQHW2dRsBsNpOYmEh0dDRms5kHH3yQkiVLsmTJEqKjo3nrrbesr1lCgu2Y68XWuXNnBgwYwNKlS23z5Pn6+hIdHU337t3x8PDgp59+wtfXl5kzZ9K+fXs2btyIv78/jz/+OHXr1iU8PByj0ciOHTtISkqynfdaVq5cSbNmzUhMTCQx0fpzbNGiBWPHjuX48eMULVo02z+T/CKjg5Dkf8nJySQkJLBixQqHZN25cze30v2UKVMYN24cERER1KtXj8mTJ9OkSZMs6+7atYuhQ4eyadMmjh07xsSJE+3mtQTrUParc1jVqlXLUR4tR8m726Vz58627bp16xIaGkqFChX46aef6Nu3r0P9wYMHM2jQINvjU6dOUbNmTdq1a0eZMmXyJGa5vVJSUliyZAkdOnSwfbslIvmDrk8RK5cVY2AvGKq0o+4voQB4P+FNly5dAPjtm83AOXo0rUKXeyrnWVxZXaPJmaYuCQsLu+E/wDllbG2EhcCxZtxTzoK5cRe7covFwqyjKzl5KZFi1RrTumqJXD2/SEFRGP+GJiYmcuLECby9vfHw8CA+JZ5Ws1vd+MDr6Bne86aOW/voWrxcszcENSYmhi+//JLPPvvM1jssYz53gA8++MBWt3bt2pw8eZI5c+bYEnPu7u6YzWa+/fZbW4eTXr16sXLlSnx9fYmNjeW7777jm2++4f777wfgu+++o3z58ri5ueHr6wtYR7J5eHjg6+vL4sWLOXDgAIsXL6Z06dKAtffcvffei6enp+2Y68Xm6+tLsWLFcHd3JyQkxFZv1apVbN68mYiICNt0Vg0aNOCvv/7i77//pn///pw6dYq33nrL1tOuQYMG2Xotz58/T8WKFW3xAVSsWBGw9j681oi6/MhisRATE4OPj0+OEsHiPImJiXh6etKqVSs8POyT/qdOncpxexnrPEydOpXQ0FAmTZpEWFgY+/bto2TJkg71M9Z56NGjB6+99to1261VqxZLly61PTaZcpaOy1HtgIAAjEYjkZGRdvsjIyOvuxhFThUtWpSqVaty8ODBLMvd3d3t5s/L+CbAZDIVmj+CYuXq6qqfqUg+petT7nh7/wTApfLDsNg6jbCxuxGjq5HL8SmsOWwdMnt//bJOuVYyX6OZB+jdls9LbbAm747fjfHYDxjvfsGhSsuqJflxw3HWHL5E+1qlc/f8IgVMYfobmpaWhsFgwMXFxXZzlpycf9++fSQlJdGhQ4csj5kzZw6fffYZhw4dIjY2ltTUVHx9fW11DQYDwcHB+Pn52Y4pXbo0Z8+excXFhSNHjpCcnEyzZs1sxwQEBFCtWjXb65Uh4/G+ffsoV64cZcuWtZU1b97c4bllJ7aMYzLs2LGD2NhYSpSw//IkISGBI0eO4OLiwqBBg+jfvz/ff/897du3p0ePHlSufOMvnwwGg8Nzyth29u9ETmUMlb36+Uj+5eLigsFgyPJ9NacJMrBf5wFg6tSpLFiwgOnTp/POO+841G/cuDGNGzcGyLI8cyy3kjfL0TNxc3OjYcOGhIeH061bN8D6yx0eHs6AAQNuOoirxcbGcujQIXr16pVrbYqIiIjkmqh9ELUHXFzhZBeIB8oB6Z0UluyJJCXNQtVAb6qU9HZmpA6+//57+vXpl7uNtky/P9YcDr0IaSlgtP8A3TIkgB83HGfVQS1aIVKYeZo8Wf/4+uvWyWrYbEJqAp1/s47I+uuhv7LsIXyjXsM56VXs6XntumvXruWJJ55gxIgRhIWF4efnx+zZs/nkk0/s6l2dKDAYDLd9nrTsxna12NhYSpUqxbJlyxzKMoa1Dh8+nMcff5wFCxbw119/MWzYMGbPns2DDz543baDgoKy7OCTUSbibDExMXbDv6/uEJYhv6zzkJUcp5IHDRrE119/zaxZs9izZw8vvPACcXFxtqxk79697Z5ocnIyW7duZevWrSQnJ3Pq1Cm2bt1q16vujTfeYPny5Rw9epQ1a9bw4IMPYjQaeeyxx3IanoiIiMjtl7HKbOV74K/05Fw3IH2EzV/5eJXZrOYNvmUNAW8LJBSDkxXgxAaHKndXLo6LAfZHxnL6kuM/7iJSOBgMBrxcva57K+5Z3OFWzKOYrY1iHsWyrHOjdnMyzDEkJARPT0/Cw8MdytasWUOFChV47733aNSoESEhIRw7dixHr0PlypVxdXVl/foricyLFy+yf//+ax5To0YNTpw4wZkzZ2z71q1bl+PY3NzcSEtLs9t31113ERERgclkokqVKna3zPPGV61alddee43Fixfz0EMPMWPGjBs+12bNmrFixQq7hViWLFlCtWrV8Pf3v+HxIrdbzZo18fPzs91GjRqVZb3rrfMQERFx0+fPWOdh0aJFfPHFFxw5coSWLVvmaG7FHPch7NmzJ1FRUQwdOpSIiAjq16/PokWLbE/u+PHjdt1LT58+bTdWfvz48YwfP57WrVvbsv4nT57kscce4/z585QoUYIWLVqwbt06hy69IiIiIvlCRvKuWjcYmL4vvWNCdGIKKw9YJ0jOj8m728IVaGWwDp090gp2zYXg5nZVinq50ahCMTYcvcDCHWd4tmUlp4QqIgLg4eHB22+/zVtvvYWbmxvNmzcnKiqKXbt2ERISwvHjx5k9ezaNGzdmwYIFzJ07N0fte3t707dvX958802KFy9OyZIlee+99647FLN9+/ZUrVqVp556inHjxhEdHc17771nVyc7sQUHB3PkyBG2bt1K2bJl8fHxoX379jRr1oxu3boxduxYqlatyunTp1mwYAEPPvggtWrV4s033+Thhx+mYsWKnDx5kv/++4/u3bvf8Lk+/vjjjBgxgr59+/L222+zc+dOPv30U9tKuSLOtnv3brv1EbLqdXc75XSdh6zc1IIVAwYMuOYw2au74QYHB9uWW76W2bNn30wYIiIiInnv3EGI3AkuJrh4P5wD/LENHQ3fE0lympnKJYoQks+GzIL1i9Tboh3pybvWsOtF6DQajPYfNe+vX5oNRy/w+9bTSt6JiNMNGTIEk8nE0KFDOX36NKVKleL555+nb9++vPbaawwYMICkpCTuvfdehgwZwvDhw3PU/rhx44iNjeX+++/Hx8eH119/ncuXL1+zvouLC3PnzqVv3740adKE4OBgPvvsMzp16mSr88ADD9wwtu7du/Pbb79xzz33cOnSJWbMmEGfPn1YuHAh7733Hk8//TRRUVEEBQXRqlUrAgMDMRqNnD9/nt69exMZGUlAQAAPPfRQtnpr+/n5sXjxYl566SUaNmxIQEAAQ4cOpX///jl6vURuFx8fH7sFVa4lv6zzkBWD5UaZtQLg5MmTlCtXjhMnTthN7ikFV0pKCgsXLqRLly6FZjJfkcJC16fc8VaMh39GQuV2sPU3mAD0BmZZi/t9s5EluyN5pW0VBnWslufhZXWNxlcsS+hw69Cl9Y+vz/ZqjDmyFeucf26x8FYFeGoOVGlvV+VCXDJNPlpKqtnCP6+3plKJ/JfcFLmdCuPf0MTERI4cOULFihUdVnrMifiUeEJ/sK7cfdvep0RuwGw2Ex0dbbcAiORv13sPuplcUWhoKE2aNGHy5MmA9XeifPnyDBgw4LoLUoC189rAgQMZOHDgdevFxsZSvnx5hg8fziuvvJKtuPTbKCIiIpITGUNma3SFjJFK3ax3sUmpLN9vXZCh850yZDZDXaA4kOwNp++CHb84VClWxI0WIda5leZvO5238YmIiIjcQH5d50HJOxEREZHsunAYIraDwQhpXeEI4AF0tBaH74kkOdVMxYAiVA/ycWakec8FuCd9+0gr2PMnpDguTNG1fmkA5m89fcOpVUTkzuHl6sWOp3aw46kd6nWXz3Tu3Blvb+8sbx9//LGzwxPJVT179mT8+PEMHTqU+vXrs3XrVod1HjIvKpOxzkODBg04c+YM48ePp0GDBjz77LO2OhnrPFSrVo1HHnmE4sWL53idh5ua805ERETkjrR7vvU+uAUsKmrd7ggUsW7+tcO6ElmXOkE5WvUwL8XGxuLlf5v+MW4L/AIcD4Pk8bD/b6jVza5Kh5pBeLju4PC5OHadjqZ2Gb/bE4uIiOSKadOmkZCQ9SrhxYoVy3K/SEGWH9d5UPJOREREJLt2z7Pe1+oG49L3pS/EF5eUyr/7zgLQuXb+HTJ71113cfLIydvTeLv0++N3QYoH7PzFIXnn7W6iXY1AFmw/w+9bTyl5JyKSz2VepVNEnEPDZkVERESy4+IxOL0FDC5g6Qq7ADfgAWvxv/vOkpRqpnwxL2qVvvGKZoVSCFAGSDHBiaawfzEkXHKo1rVe+tDZbadJM2vorIiIiMj1qOediIiISHbssQ6ZTSvfFPN8X1yBtPZpJBVJghT4Y5u1N1vHWgEkpGY9vCgvpKamkmxJJiE1gRRSAEjItKhl89bNiU+Jv23nd7vHDdN3JiwR3TBUWgZ7/4QGT9rVaV2tBL4eJiKjk9hw5ALNKhe/bfGISN7QHJYi4gx3ynuPknciIiIi2ZG+yuzo2D30nH6MKlTh/TLv8+cPf2IxuxK7fwjgxg8n3mTOD6ecGyvwwU8fXHnwnr9tc/c9uwn9IfS2nfcBjwf4iI+I3F+PoLuxrjp7VfLO3WSkc+1SzNl4gvnbTit5J1KAubpavx2Ij4/H09PTydGIyJ0mPt76hWTGe1FhpeSdiIiIyI1cPgkn/8MMHLxYlyqnq5BsSmZZg2UApMZWA4sbBtcLuHg4P3HnTOtrrAegxPF6kOgLR5ZDTCT4BNrV61q/NHM2nmDhjjOMeKAWbibN5iJSEBmNRooWLcrZs9Y5P728vPLtgj0iN2I2m0lOTiYxMREXF/1dys8sFgvx8fGcPXuWokWLYjQanR3SbaXknYiIiMiNpK8yaykXyldHfgXAJcyF8GfDAXjjp10sPHWWPk3q8Wan9U4LE6zDZv/++2/CwsIwmawf9RJqVaVNeu+7ZY8sw9N0e3vHmKeaMR4wkhb9FEaPydaFPkKfs6sTWqk4JX3cORuTxIr9UbSvGZh1YyKS7wUFBQHYEngiBZXFYiEhIQFPT08loQuIokWL2t6DCjMl70RERERuJH3IrLHmQxg/sQ7LMPU0YXI1kZiSxvJ95wF4oF45vFy9nBYmQAopuBnc8DR5XhlCknKl3NPkeftjDAMOgDHiMSg5GXb87JC8M7oYuK9uaaavPsL8baeVvBMpwAwGA6VKlaJkyZKkpKTc+ACRfColJYUVK1bQqlWrQj8MszBwdXUt9D3uMih5JyIiInI90afhxLr0Bw/CHuxWmV2+P4q45DRK+3lQv1xR58SYA88//zzf/N83t/cknYDPgc3VoK4LnPwPLhyBYhXtqnWtb03eLdkdSVxSKkXc9dFUpCAzGo13zD/SUjgZjUZSU1Px8PBQ8k7yFQ3iFhEREbmePX9Y78uFwqL03mFhgJ91868dZwDoXKdUgRhi888//9z+k7TBmuA8ZgLPntZ9O391qFa3rB/Bxb1ISElj6Z7I2x+XiIiISAGk5J2IiIjI9aQPmaVGV5idvq+H9S4pNY2le6xzPHWpU/jnW8m2IkDL9O1zfa33O35xqGYwGHigfhkA5m89nTexiYiIiBQwSt6JiIiIXEtMJBxbY91OeBj2A55AN+uulfvPEZuUSpCvBw3K+TspyJxZt27djSvlhrD0+x31wegGUXsgcpdDtQfqlQasw48vxiXnTWwiIiIiBYiSdyIiIiLXsvcPwAJlGsLv6UNmuwE+1s2FO61DZjvVDsLFJf8PmQUoVqxY3pyoU/r9CleocK91e8fPDtWqlPSmVmlfUs0W2+spIiIiIlcoeSciIiJyLbvmWe+rPnRlyGwv611SahpLdlvnaetSp1Seh5bv1QZKAwlA8rPWfTt+BYvFoWrX+tbed79r6KyIiIiIAyXvRERERLISGwXHVlu3I3pAFFAS6GDdtebgeWISUynp406jCgVjyGyeMnBl6OzuUHDzhsvH4cQGh6r31bUm7/47eoHTlxLyLkYRERGRAkDJOxEREZGs7P0TLGYoVR/mpg+ZfQwwWTcX7ih4Q2YBFi1alHcny0jeLXGF6vdZt7MYOlu6qCdNKhbDYoE/t6v3nYiIiEhmSt6JiIiIXM1igW3p42Qr9ID0BWd50noXk5jC37siAOhcu2ANmX3llVfy7mTtsX7a3AmUSH/xds2FtFSHqho6KyIiIpI1Je9ERERErnboHzixDozucPgJSASqAw2txdNXHSU6MZVKAUVoUjGPFoAoiIoDjdO39zYDr+IQfw6OLHOo2qV2KUwuBnadjubg2di8jFJEREQkX1PyTkRERCQziwXCP7BuN+4Lv6bPZ/ckYICLccl8vfIwAIM6VsVYgIbMAgwePDhvT9g5/X6hCWo9aN3e8atDNf8ibrSqWgKA+dvU+05EREQkg5J3IiIiIpnt+QPObAXXIlDhDfg3ff8T1rupyw8Rm5RKzVK+dClgQ2YBnn766bw94QPp94uBKo9Yt/f8ASmOC1NkDJ2dv/UUlixWpRURERG5Eyl5JyIiIpLBnAb/fmTdbvYizCkOFqAtEAyR0YnMXHMUgDfDqhWohSqcpj5QDogH9jcGv3KQHAMHFjtUbV8jEA9XF46ej2fHqct5HKiIiIhI/qTknYiIiEiGHT9D1F7wKApNBsD09P3PWu8m/3OApFQzDSv406ZaCWdFWbAYuNL77g8XqP2QdTuLVWeLuJvoUDMI0MIVIiIiIhmUvBMREREBSE2Gfz+2bjd/FVYWhRNAMeBBOH4+ntkbTgDWXncGg3rdZZsteQfU6mHd3r8YEh1713WtZx06+8e206SZNXRWRERERMk7EREREYAt38ClY1CkJIQ+B9PS9/cCPGBS+H5SzRZahgTQtFJxZ0Z6S2rXrp33J20N+AARwInaUKI6pCXBnj8dqraqWgI/T1fOxiSx/sj5vI5UREREJN9R8k5EREQkJQGWj7Nut3oTLhaB+ellz8L+yBjmbjkFWHvdFWTJycl5f1J3rqw6O98AtR+2bmcxdNbN5EKXOtahs/M1dFZEREREyTsRERERNnwNsRHgVx4aPgWzgFSgKVAbJizej8UCnWoFUbdsUefGeotq1qzpnBNnDJ2dD9Tpbt0+shxizzpWrVcGgIU7zpCUmpY38YmIiIjkUzeVvJsyZQrBwcF4eHgQGhrKhg0brll3165ddO/eneDgYAwGA5MmTbrlNkVERERyTWI0rJpg3W7zDhjdrwyZ7QfbTlxi0a4IDAZ4vWNVp4WZW+bNm+ecE3cBjMBO4FIlKNMQLGbYNdehapOKxQj0dSc6MZXl+6LyOlIRERGRfCXHybs5c+YwaNAghg0bxubNm6lXrx5hYWGcPev4rSlAfHw8lSpVYvTo0QQFBeVKmyIiIiK5Zu0USLgIxUOgbk9YDhwAvIFHYPzifQA82KAMIYE+zoy0YPMHWqVvzwfqpC9ckcXQWaOLgfvrWheumL9NQ2dFRETkzpbj5N2ECRPo168fTz/9NDVr1mTq1Kl4eXkxffr0LOs3btyYcePG8eijj+Lu7p4rbYqIiIjkirjz1uQdQNv3wGiCz9PLnoC1kedZeeAcrkYDr7Uv+L3unC5j6Ow8oNaDYHCBk//BhSMOVbvWtw6dXbonktik1DwLUURERCS/MeWkcnJyMps2bWLw4MG2fS4uLrRv3561a9feVAA302ZSUhJJSUm2xzExMQCkpqaSkpJyU3FI/pLxc9TPUyT/0fUphYnLyk8wJsdgCaxDakgXOJSCaa4JAwZSnk9h3N97AXikYVmCfFwLxO99VteoJVN5amoqKTjpedwHrq+5YllpIfVScYwVWuBydAVp23/G3Pw1u6rVSnoSXNyLo+fjWbT9FF3rl3ZOzCK5SH9DRfI3XaOFS2pq4fnyL0fJu3PnzpGWlkZgYKDd/sDAQPbu3XtTAdxMm6NGjWLEiBEO+8PDwwkICLipOCR/WrJkibNDEJFr0PUpBZ1H8gXa7/4KgHVFOnL2r0XU/KYmIeYQoupG8fXWtWw+bsTVxUK1tCMsXOjYOyw/y3yNtsz0pWevXr14ptczzgjJGkvVlhTbX4w9I/eQ1jSEBqwgbt0s/r3suIpvdU8XjuLC9PDtuJ7emvfBitwm+hsqkr/pGi0czp07d1PHTZkyhXHjxhEREUG9evWYPHkyTZo0ybLurl27GDp0KJs2beLYsWNMnDiRgQMH3lKbWclR8i6/GDx4MIMGDbI9PnXqFDVr1qRdu3aUKVPGiZFJbklJSWHJkiV06NABV1dXZ4cjIpno+pTCwuWvNzBaUjCXDaXRo+9AggHTM9aPRkWHFmXFiaJADE/dXZHHwgrOkNmsrtHkTFOXbNq0iV9+/MVZ4eFywAXehNp7apP2ybtYJn2Lb+JJujQKhpL2K+FWj4pj0Wer2RdtJLR1W4oXcXNO0CK5RH9DRfI3XaOFy6lTp3J8TMaaDFOnTiU0NJRJkyYRFhbGvn37KFmypEP9jHUeevTowWuvvZZFizlvMys5St4FBARgNBqJjIy02x8ZGXnNxShuR5vu7u528+dFR0cDYDKZdIEVMq6urvqZiuRTuj6lQLtwBLZ+B4BL+2G4uLnBN8AFIBgWVYxi738xeLubeOmekAL5u575Gr168I9Tn8+jwJvgstoFl+gACOkIe//Edc88KFPPrmq10kWpU8aPHacus2TvOXo1reCUkEVym/6GiuRvukYLB5Mp5/3VMq/JADB16lQWLFjA9OnTeeeddxzqN27cmMaNGwNkWX4zbWYlRwtWuLm50bBhQ8LDw237zGYz4eHhNGvWLCdN3dY2RURERK5r2Wgwp0LldhDc3Dop3GfWorQXzUz8Zz8A/VpWwr+Q9fZasGCBcwMoCzTH+pr/DNTubt2/4xewWByqP1DPOtfdH1u16qyIiIjkXExMDNHR0bZb5jUUMstYk6F9+/a2fbm1zsOttpnj1WYHDRrE119/zaxZs9izZw8vvPACcXFxtgxi79697RafSE5OZuvWrWzdupXk5GROnTrF1q1bOXjwYLbbFBEREck1Z/fA9jnW7XZDrPfLgR2AF8y/6zSHz8VRrIgbfVtWdFaUt01ISIizQ4Ce6fc/AVU7gZs3XD4OJzY4VL2vXikMBthw9AKnLiXkaZgiIiJS8NWsWRM/Pz/bbdSoUVnWu96aDBERETd17txqM8d9CHv27ElUVBRDhw4lIiKC+vXrs2jRIlsgx48fx8XlSk7w9OnTNGjQwPZ4/PjxjB8/ntatW7Ns2bJstSkiIiKSa/75ELBAjfuhdPpnlAnWu7QnzYzbsA+AF9tUxtu9QE4PnP89DLwKrAUivKD6fbB9Nuz8BcqH2lUt5edJaMVirDt8gT+2neb51pWdEbGIiIgUULt377ZbHyHzNGwFxU19Ih0wYAADBgzIsiwjIZchODgYSxZDIHLSpoiIiEiuOLUJ9v4JGOCe9637dgJ/WHfNa3Oa09sSCfL14EnNr3b7lAJaYe3x+BPQ9WFr8m7XXAgbBUb7j6gP1CvDusMX+H2rknciIiKSMz4+Pvj6+t6wXn5Z5yErOR42KyIiIlJg/fOh9b7eo1CyunV7jPUutZuZUYf2APBKuxA8XI1OCPD227DBcWiqU2QMnZ0DVGoDXsUhLgqOLHeo2rl2EK5GA3vORHMgMiYvoxQREZE7RH5e50HJOxEREbkzHFkJh/4BF1dok76y11HgR+vmb2GnOBebTIXiXvRoVNZZUd52Tz75pLNDsOqO9ZPoRuCQK9TsZt2/4xeHqv5F3GhdtQQA87dp4QoRERG5PfLrOg9K3omIiEjhZ7HAPyOt23f1Bv9g6/Z4IA1S2poZeWY3AIM6VMXVqI9It11JoFP69kygTg/r9p4/IMVxYYr701ed/X3r6WxNySIiIiKSUz179mT8+PEMHTqU+vXrs3XrVod1Hs6cOWOrn7HOQ4MGDThz5gzjx4+nQYMGPPvss9luMzs0C7OIiIgUfgeWwIn1YPKAVm9a90UC/2fd/LXDSWIupVI9yIf765Z2Wph54bnnnnN2CFc8DSwEZgEjQsGvHFw+AQcWQ82udlU71AzE09XI8QvxbDt5mfrlijohYBERESns8uM6D/paWURERAo3sxn++cC63aQ/+Jaybn8GJEJKQzMjYq/0unNxMTgnzjzy+uuvOzuEK+4HigGngaUuUPsh6/4dPztU9XIz0bGW9Rvq37eeyrMQRURERJxNyTsREREp3HbPg4gd4OYDLV6z7rsAfG7d/LXjSRJS06hXrigdamZ/+ILkAnfgifTtGVwZOrt/MSRedqj+QPrQ2T+3nyHNrKGzIiIicmdQ8k5EREQKr7RU+Pcj6/bdA8CrmHV7LBANybXMDGMXAG+FVcNgKNy97vKlZ9Lvfwdca0NANUhLgj1/OlRtGVKCol6uRMUkse7w+TwNU0RERMRZlLwTERGRwmv7bDh/EDyLQdMXrfsisA6ZBb6/7xhJZjN3Vy5O8yoBTgvzjlY//ZYM/Gi40vtup+Oqs24mF7rUsQ571tBZERERuVMoeSciIiKFU2oSLBtt3W45CDx8rdsfAwmQ2DCNkVjnunsjrJpzYnSCli1bOjsER0+n388A6nS3bh9eBrFnHapmDJ39a2cESalpeRKeiIiIiDMpeSciIiKF06aZ1pVLfUpB42et+44DX1o3v+p4GDPQvkYgd5X3d1KQeS8yMtLZITh6HHAFNgMnKkGZhmAxw665DlWbBBcjyNeDmMRUlu2LyutIRURERPKcknciIiJS+CTHwYpx1u3Wb4Grp3X7AyAZYu9OZYJ5PwYDvN6xqtPCdIbAwHy4KEcA0C19+wuuDJ3d4Th01sXFwAP1rb3v5m89nRfRiYiIiDiVknciIiJS+Kz/EuKiwD8YGvSy7tsLzLRuTmqzH7AOwaxRytcZETrNypUrnR1C1l5Kv/8WKP0QGFzg5Aa4eNShasbQ2aV7IolJTMmzEEVEREScQck7ERERKVwSLsHqSdbtNu+C0dW6PQhIg4vtk5mWdgSji4HX2t9Zve7ytVZAXSAe+DkQgtPn5tv5q0PVWqV9qVSiCEmpZhbvyofDgEVERERykZJ3IiIiUrismQyJl6FEDajzsHXfQuAvsLhaGNZyFwCPNCpHcEAR58Up9gzAy+nbnwM1rz101mAw0LVeGQDmb9PQWRERESnclLwTERGRwiM2CtZ9Yd1u+z64GCEFa6874GSvBObHn8bN5MIr7ao4LUy5hseBYsBR4OiDYHSDs7shcpdD1Yx571YdPMe52KS8jFJEREQkTyl5JyIiIoXHqgmQEgel74Lq91r3TQH2gaWEhTeqbQOgV9MKlPLzdF6cTvTJJ584O4Rr8wLSFwbmK28I6WjdzqL3XcWAItQt60ea2cLCHWfyLEQRERGRvKbknYiIiBQOl07Af9Os2+2GgMEA54AR1l27XrzM+gsXKOJm5MU2lZ0WprN9+eWXzg7h+l7E+gl1KeDZx7pv5y9gsThUzVi4QqvOioiISGGm5J2IiIgUDivGQlqydaGDSvdY970NXAJLPQuDvK297vq2qEhxb3enhSk3UAHomr79Rxtw84ZLx+Hkfw5V769XGoMBNh67yIkL8XkZpYiIiEieUfJORERECr7zh2DL99bttum97v4Fplt3LX85iv3nYvHzdOXZVpWcFmZ+8N133zk7hBtLn6OQb12hxBPW7R0/O1QL9PWgacXiAPyxXb3vREREpHBS8k5EREQKvn8/BksahIRB+VBIAPpbi9L6W3j/3E4AXmhTGV8PV+fFmQ80adLE2SHcWAugFZAMrH7Jum/XXEhLdajatb6GzoqIiEjhpuSdiIiIFGwRO6xzooF1hVmAkcBBoDT8/PBxTl5MoISPO081C3ZSkJJj6T9KfioPadUgLgqOLHeo1rl2KVyNBvZGxLAvIiZvYxQRERHJA0reiYiISMH2z0fW+1oPQam6sB0YZ92VNCmNTzYcAOCVtlXwdDM6J0bJufZAEyDBAHtGWfdlseqsn5crrauWBGD+tlN5F5+IiIhIHlHyTkRERAquE//B/r/AYIR73oMU4BkgFXgQZpQ8SlRMEmX9PenZuLyTg80fDhw44OwQsscADEnfXtQGEvxhzx+QkuBQ1TZ0dttpLFmsSisiIiJSkCl5JyIiIgXXPx9Y7+s/BgFVYDiwCfCHmPEpTF1+CIDX2lfFzaSPPQD33nuvs0PIvnuBekCcEba+CckxcGCxQ7X2NQLxcjNy4kICW05cyusoRURERG4rfYoVERGRgunwMjiyAoxu0PptWAmkj67kK/j60BEuxadQpaQ33RqUcWKgctMMXJn7bvUzEO+f5dBZTzcjHWsGAlq4QkRERAofJe9ERESk4LFYIDy9112jZ8BQHnoBFqAPnO+UxP+tPAzA6x2qYnQxOCvSfKdHjx7ODiFnHiK9950nrHgL9v8NiZcdqnWtb03Q/rn9NKlp5ryNUUREROQ2UvJORERECp59f8GpTeDqBS1fhwHAMaAi8Cl8sewQcclp1CnjR6faQU4ONn/56KOPnB1CzrgA49O3N/aDqDKwd4FDtRYhAfh7uXIuNpm1h8/naYgiIiIit5OSdyIiIlKwmM3wz0jrdujzMLskfIf1U823cMaSwDfrjgHwRlg1DAb1uivw2gOdgDRXCB8GO352qOJqdKFLnVIA/K6hsyIiIlKIKHknIiIiBYfFAstHw9nd4O4H7q/BS+llIyGxSRpv/7qD5FQzTSoWo1VIgFPDlVw0FnCxwO5usDwOYs86VMkYOvv3zggSU9LyNj4RERGR2+SmkndTpkwhODgYDw8PQkND2bBhw3Xr//zzz1SvXh0PDw/q1KnDwoUL7cr79OmDwWCwu3Xq1OlmQhMREZHCymyGRe/A8jHWxw0/hCd9IRnoCpdfTaH3/21gxf4o3E0uvNelhnrdFSZ1gKfTf55/j4Sd8xyqNKrgT2k/D2KSUlm2zzG5JyIiIlIQ5Th5N2fOHAYNGsSwYcPYvHkz9erVIywsjLNns/6AtGbNGh577DH69u3Lli1b6NatG926dWPnzp129Tp16sSZM2dstx9//PHmnpGIiIgUPmkpMPc5WD/V+rjjOBjfG44DIRD1eSKPTlvHhqMX8PEw8W3fUOqVK+rMiPOtbt26OTuEm/cB4JECJ0Phy7OQmmRX7OJi4P56pQH4YcMJzGaLE4IUERERyV05Tt5NmDCBfv368fTTT1OzZk2mTp2Kl5cX06dPz7L+p59+SqdOnXjzzTepUaMGI0eO5K677uLzzz+3q+fu7k5QUJDt5u/vf3PPSERERAqX5HiY/Tjs+AlcTPDQ1/BTf1gCeMGZ6Qk8/ONa9pyJJsDbnTn9m9GkYjFnR51v7d6929kh3LzSwFuJ1u2fnocv+0JSjF2Vh+4qi4sBVuyP4uXZW0hK1fBZERERKdhMOamcnJzMpk2bGDx4sG2fi4sL7du3Z+3atVkes3btWgYNGmS3LywsjHnz5tntW7ZsGSVLlsTf35+2bdvy4YcfUrx48SzbTEpKIinpyjetMTHWD22pqamkpKTk5ClJPpXxc9TPUyT/0fUpeSrhEsafnsDl5HosJk/Suk/H8FcYxk+txcc+ieHhZeuIik2mrL8nM/s0pEIxzzv69zOrazRz/zM3N7eC/fq85YHpxxgMBwJgWicsxi6k9pwN3iUBqFTcg/EP1+Ht33ayYPsZzsck8r/H6+Pj4erkwEX0N1Qkv9M1Wrikpqbe1HFTpkxh3LhxREREUK9ePSZPnkyTJk2uWf/nn39myJAhHD16lJCQEMaMGUOXLl1s5X369GHWrFl2x4SFhbFo0aJsx5Sj5N25c+dIS0sjMDDQbn9gYCB79+7N8piIiIgs60dERNged+rUiYceeoiKFSty6NAh3n33XTp37szatWsxGo0ObY4aNYoRI0Y47A8PDycgQBNTFyZLlixxdggicg26PuV2c0+5RLOD4/BLPEGy0Yv1FQfh9m1xmoy2DhxY0XMXz504QkKagdJeFvpXimHXumXscnLc+UXma7Rlpi89x4wZ4zD/cEHj39efloNbYtj6JIa1c0i+0Ia1Vd4kzt36mdMIPFvVwPR9Lqw7cpH7J/7DczXS8HNzbtwiGfQ3VCR/0zVaOJw7dy7Hx2RMFTd16lRCQ0OZNGkSYWFh7Nu3j5IlSzrUz5gqbtSoUdx333388MMPdOvWjc2bN1O7dm1bvU6dOjFjxgzbY3d39xzFlaPk3e3y6KOP2rbr1KlD3bp1qVy5MsuWLaNdu3YO9QcPHmzXm+/UqVPUrFmTdu3aUaZMmTyJWW6vlJQUlixZQocOHXB11TflIvmJrk/JExePYPrhYQyJJ7AUKYnhsZ9pdrw2xn5GDBYDJ3rE0b/KcRJTDTSqUJQvn2iAr6d+HyHrazQ50wfEsLAwPE2ezgovd3QB81EzxqlGLH9Npki5JrQ7NtbaA69UvYwqdDwVzbPfbuZUXDJfHfJm+lMNqRhQxLmxyx1Nf0NF8jddo4XLqVOncnxM5qniAKZOncqCBQuYPn0677zzjkP9zFPFAYwcOZIlS5bw+eefM3XqVFu9jKniblaOkncBAQEYjUYiIyPt9kdGRl4ziKCgoBzVB6hUqRIBAQEcPHgwy+Sdu7u7XZYyOjoaAJPJpAuskHF1ddXPVCSf0vUpt03EDvj2IYg7C/7BGHrNw/VkRbgPSICIuxNpV2kFyalm2lYvyZTH78LTzbGn/p0u8zWaefBPofm8NBr4HQxngmH9JAzNX8D1u67Q8zuofA8ADYKL89uLd9N7+gaOnY/n0Wn/MaNPYy1mIk6nv6Ei+Zuu0cLBZMpZf7X8MlVcVnK0YIWbmxsNGzYkPDzcts9sNhMeHk6zZs2yPKZZs2Z29cHaBfVa9QFOnjzJ+fPnKVWqVE7CExERkYLu2BqYca81cRdYB55ZDGcrQnvgIpytlUi7JstIxsyDDcrwZa+GStzdqfyAjC+0lz4Oca9Acix83wN2/GKrVqF4EX55/m5ql/HlQlwyj361jmX7zjolZBEREcl7MTExREdH226Z11DI7HpTxWWe+i2z7E4V98033xAeHs6YMWNYvnw5nTt3Ji0t+4tq5Xi12UGDBvH1118za9Ys9uzZwwsvvEBcXJytS2Hv3r3tspSvvvoqixYt4pNPPmHv3r0MHz6cjRs3MmDAAABiY2N58803WbduHUePHiU8PJyuXbtSpUoVwsLCchqeiIiIFFT7FsG3D0LSZSjfDPr8CWcDoR0QBZFVEmnffjlx7mk807win/Soh6sxxx9l7niZ51sp8B4Ank/f/u4DKNcbzCnwa19YO8VWrYSPO7P7N6NFlQASUtJ4dtZGftt80ikhi4iISN6qWbMmfn5+ttuoUaPy9PyPPvooDzzwAHXq1KFbt278+eef/PfffyxbtizbbeT4E2/Pnj0ZP348Q4cOpX79+mzdupVFixbZMo3Hjx/nzJkztvp33303P/zwA1999RX16tXjl19+Yd68ebaJ+4xGI9u3b+eBBx6gatWq9O3bl4YNG7Jy5cocT+AnIiIiBdTWH2H245CaCFU7wZO/wfGicA9wGiLKJxLWZQXRHqm8GVaNIffVwMXF4OyoC6S8/sB6230C1AQiDPDbZ9AkPZv397uwZChYrGvterubmN6nMQ/UK02q2cKgn7bx5fJDWCyWazYtIiIiBd/u3bu5fPmy7Za5w1lmzpgqLrtuasGKAQMG2HrOXS2rzGGPHj3o0aNHlvU9PT35+++/byYMERERKQzW/g/+Tv8QVfdR6Po5bHeFMCAKIkoncv/9q7jslcJH3WrzRGgFp4Yr+YwX8CPQBFhogA6joV0ghI+A1Z9C7Fl4YDIYXXEzuTCpZ31K+Ljzf6uOMOqvvZyNSeK9LkoGi4iIFFY+Pj74+vresF7mqeK6desGXJkq7lo5sIyp4gYOHGjbdzumitNYExEREXEOiwX++fBK4q7pi9DtC1jnau1xFwVHysfRpftKLvkl8/ljdylxlws+++wzZ4eQ++oC49K33zRA2iDo+j8wGGHbj/Djo5AUC4CLi4Eh99Xk3S7VAfi/VUd47aetJKeanRO7iIiI5Bv5dao4Je9EREQk75nT4M/XYEV6xqXtEAj7GH53gQ7AZdhV+TIPPLSKxKJpzOjThHvraiGr3NCpUydnh3B7DAAeA1KB7oDfE/DYj2DyhINL4ZsHIO68rXr/VpWZ8Eg9TC4Gft96mr6z/iM2KdVJwYuIiEh+kF+nirupYbMiIiIiNy01CX7rD7vnAQa4bwI0fAbGAu9Yq6yvfp6numzA08/It0+HUr9cUefFKwWDAfg/4CDwH3A/sDYMnvoDfugBp/6/vTuPk6K69///qqW7Z59hGWZYRWURFFFAEaKRCFHcfnEJGmNciHHJNxrXeGO+GBO9icboFaNGE2+MGuM14hXi14WIENREnCiLUXEBBFkHmBmHZZZeqs7vj6rumYFhlZkehvfz4XlUdW2cbud01/nU51TNh8dODu6n2CXI4DxnRB+65kf5P39ewJtLqrjg92/z2KXHUFqo+y6LiIgcqDrireKUeSciIiLtJ74Vnj4/CNzZEZj0Rzjyu/A9MoG7545bxbfPrKBL9yjTrhqjwJ3svlxgBtALWAx8G+h5DHz3b1DcF6qXwh++DpXvZ3YZN7gH/3P5cXTNj/L+mk1885G3+Ly6LivVFxEREWmNgnciIiLSPuprgqGLn/0dIvlw4bNQeDacCDwGxjb86rSPuenEf3NQWR7PfX8sA3oUZrvWnU5NTU22q9C2ehEE8HKAl4DvAt0Gw2WvQo+hsHU9/PE0WP5mZpfhfUv43++PpW/XXD6vrufch9/igzWbslJ9ERERkW0peCciIiJtb9MaeGxiMHQxt0swlHHJSTACeBtSRT5XnT+fh4ctY3ifYp67aiy9S3KzXetO6bjjjst2FdreMcCzgAP8ieB+eIW9YPIr0G8sxDfDU+fAhzMyuxzcPZ///f5YhvYsomprgvN/N49/LKnKSvVFREREmlPwTkRERNpW1RJ47BSo+gSKesN3/gYPj4TTgGrYNCTJyd95g7/1W89XBnTjz+EQRpEv5UyCwJ0FPEwwLDunBC56Hg47A7wETLsU/vVoZpcehTn85crjGHtoN+oSHpMf/xd/XbQmG7UXERERyVDwTkRERNrO2oVB4G7TKug2EMbOhjMHwy8BA0vO2cLo01/js8I6Tj2inMcuPYaCmJ6n1ZZOOumkbFeh/VwA/C6cvxu4meDps+c9CSMnAwZevglm3wHGAFCYE+GPk4/h9CN7kvQM1z6ziP9+87Ps1F9EREQEBe9ERESkrSx/Ax4/A+qroWwE1M2FcT1hIZiuhpk/XcfXB75Bo+NzwbH9ePDbI4i5TrZr3ek98sgj2a5C+7ocmBrO30PwcBTfgTPug3E/CZa/eQ+8cA14KQBirsMD3zqaS8f2B+A/X/qIO1/+CN837Vt3ERERERS8ExERkbaw+AV46lxIbAVrMvz3a3BLAcTBTDRMvW8JV8UXAHD11wbwy7OPwLGtLFdaOq1rgT8QnPk+BpwHxC0Y9x9BEM+yYeGf4NmLIFEPgG1b3HbmUG6eOBiA373xGTdNe4+k52fpTYiIiMiBSsE7ERER2bcWPAnTLoH6GLzzDNx+HyxwoBhSj/jceOl73L94CQBTTh/CTacMxrIUuJM29l3gOSAKTAfGA+uAUd+F8/4ETgw+eRn+dFbwZGTAsiz+z7gB/PqbR+LYFs8vXMNlT7xLXTyVrXchIiIiByAF70RERGTfaNwEf/8lzLgW3r0YHv4IXj4VfAu+BWvm1XNlbD7PL1yDY1vcO2k43zvhkGzXWg4kZwMzgWLgLWAU8C9gyBlw8QzIKYZVFcGTkTetzuw2aVRf/vviUeRGHN74dCPffvRtqrfGs/EORERE5ACk4J2IiIjsPd8P7m33/BXw68Hw6EL43Zvw4v2wqRB/kOGtB6r49klv85Un/s7sjzcQc21+952RnDuyT7Zrf0C67LLLsl2F7Poa8A4wBFgLfJVgKG2/sTB5JhT2Cp6M/IeTYcNHTbsd1oOnLx9Nl7wI763exDcfmceqmvqsvAURERE5sOhxbiIiIrLnNq2GRf8Di56CmhWwdAK8/iKsGQVAqthn5jcrubXnB3yxOgmAZcHxA7pz/dcHMaJflyxW/sD25ptvZrsK2TcQeBu4CHgBuIwgI++RoXDZq/DUOVD1afCk5GOvgAFfhz6jOLpfF577/lgu/sO/WF5Vx9m/fYuLjjuIcYNLGda7GFv3bRQREZE2oOCdiIiI7J5UHD5+CRY+BcvmgDGwbDy88UdYNQKAZI7P9DFr+MWwj9iUm4Qk9OmSy6SRfTl3ZG/6dMnL8psQCRUR3PvuV8BPgWkEQ2mf7Avf/Rs8fR6sfgfe+HVQckrg0JM4dODXmXHJ8Vz0lxV8XLmF+177lPte+5Ru+VG+OqiUcYNLOWFgKV3zo1l8cyIiItKZKHgnIiIiO1f5fhCw+/dfoOELSEXhg2/Bwh/BykMBSER9njxqBQ8fu4zq/AQx1+asI3px3qi+HHdIN2UkdSALFizIdhU6Dhu4BZgAXAgsIXiQxWVd4T9fhMrpsOTVIFjdWAsfPg8fPk8p8HL5cD46/FhebhjGU2tKqa5LMH3hGqYvXINlwfA+JYwbXMq4wT04Ull5IiIi8iUoeCciIiLba/gC3n8OFv4J1r0XLNvaA/79C3jnUqgtAKAx4vHU8M/53ejP2FgQZ3ifYq4fNYgzh/eiODeSvfrLDhUUFGS7Ch3PMcBC4CbgEeAPwF9z4J4L4OILwE/BmndhySxYOgvWvYdd+R6H8x6HAzflllB98PG8bY/gqaoBvL3BZdGqWhatqmXqa0vomh/lqwO7M25wD746SFl5IiIismcUvBMREZGA78PyuUGW3UcvghcH34blE2HpjZh3R2GlgmddrS1s4MkRK/if4auwu8HZR/fhvGP6cFh5UXbfg8jeygceJsjAuwr4ELgU+C1wtwsnHgf9joPxt8KW9bBsdhDMWzYHq7GW7ite5Axe5Awg2e9IPi0azcsNw/jz6lJq6hLMWLSWGYvWYllwZJ8SxoVDbI/sU4KjrDwRERHZCQXvREREDnRffA6LnoZFf4ZNq4Jl1YfCp9diFpyLVRVkalnA/F5f8Nio5cwaXMlXhnTnrlHDGD+kjKirB9hLJ3E8QRbefwF3AP8CxgFnAL8AjgQKy+CobwfFS8Ga+UFG3pJXYd17RDb8m8M3/DuTlVdz8PHMa5aV996qWt5bVcv9s5fQJS+SuVfeVweW0q0glqU3LiIiIh2VgnciIiIHomRDkF238E+w/PVgWfUh8OlPYNmFsKwPEATsanIT/HXoGqYNW0390BSTRvXl1hFDKS/OyV79Za+98MILfOvcb2W7Gh1bBPgP4BLgduD3wIthORP4v8DocFvHhX6jg3LSlFaz8rrtJCvvi/okf120lr+ms/J6F3Pi4B6MG1zKcGXliYiICAreiYiIHDiMgbULg2Gx7z8HjZtg/TD49CZYeiGsOiSzacryef2QjUwbtpq3hlRx8tHl/GzU4RzTvwuWpWDC/uymm25S8G53lRMMm72WpifS/r+wjAN+SBDMa35GvcOsvFmwbtH2WXn9v8I79hHM2VjC36uKeG+14b3Vm/hNmJV3wsBSxhzajUNLC+jfPY/SgpjaoIiIyAFGwTsREZHOKtkAGz+BDR/BhsXBEzNXroDPxsGSOzDLJmJtLstsnrJ93upXzUuHrePVgZUcMqSA80b14Z4jh1MQ0ymDHMAGA38hGEZ7F/AnYG5Y+gJXAheH881tm5W3dQMsfa1lVt7nLzGRl5gIkANJJ491bm8+iJeyJFHOZ++X88y/y1luerKZfApiLgd3z8+UQ0qDaf/u+RTl6CExIiIinZHOxEVERPZ3XgpqlgUBunSgbsNHUPMZxHNh5XGw4nj4/D7M2qOx/KCDbwH1kRT/PKiaWQPW8+qgStxSm3NH9mbayLEM6KGnknZGt912W7arsP8aBDwG/JzgqbS/B1YBU4BbCbLxvgN8E2jt2S0FPVrPylu7CKqXQu3nRLx6+nlL6MeS7c7Uq0wRy005y9f3ZHllTz425bxievK5KSNOlO4F0WaBvYLM/EHd8siJOG31qYiIiEgbU/BORERkf2FM8ECJDR/B+g/DQN1HUPUJeIlgm62lsHYErLwQPj8es2YElmn6ubeAFSV1/P3QDcw5dANrj2zg4D75DCor5N6DhvPVQaVEHD18ojO78MILs12F/V9fgodX3Ao8C/wBeAP4e1h+QDCc9hvAqUDXVo7RPCsvLRUPHiBTvbRZWRZMt1bS3dpMd2szx9iftjiUj8Va043l8XKWr+7J8lXlVJie/I/pyRrTHd9y6FWcm8nSS2fqHdI9n94lubhq8yIiIh2agnciIiId0daN22TSLYYNH0NiS9M2iXxYNxzWXElqzTH4a44huqlXi8NYwKriehYdUsvaoxpoHOtTPjzGUWUlnFfWl3wNhxXZezkEw2UvBj4H/kwwpPZjgvvjTQMcgifYngmcTjAEd0e3rHNjUDooKNuKb2kK5FUvC7Jtq5dC1VLs+Cb6WFX0cao4gQ9a7JY0Dp+bMpbXlbNxawk1ywtZbQr5tynkCwrZYheSW9yDku7lFBV3pUt+lC55UbrmR5vm86J0yY9QEHN1vz0REZEs0Bm7iIhINhgDia1QtzG4D9bGj1sOea3b2GxbC77oD+tPxFs/jPoNI7DWDyW/phcWQcZM+gfdx7CmZwPrhzTSOMYj7+suB43M48yCXttVQUT2oYOAnwC3APOB54EXgA+B18NyE9CLYHjt18JyCDsO5jUXK4ReRwWlOWOgvnqbbL10xt4yIl6cAdZaBrB2x8euC0rCONRSSI0p5AtTSA0FrAmDfF+YQjZZhSRjXTE5XSC/G25hd3Lzi+maH6NLfpSu+RFKwmBfOviXH3UU8BMREfmSFLwTERHZVxJ1QdCtrjqY1leFr6swdRtJbdmIt3UjVn01bkMVjp/YZv88qB4A1SfgVw2kvvpwvOrB5Fb1J5rMAYIknsJmu3zRNcEXRyQwx0DxiRG6fTVK3+I8+pLXbm9bRJqxgFFh+SWwnKYn1L4BrAWeDgsEwbzRwLHhdBQtG/ku/z0L8rsHpd9xLdf5PmxeHQTzaj6Duqog0FdfDfU1mPpqvK1VWA01OF4jUcujB7X0sGp3/O95ZIJ9bIC4camlIBPwq6WApcSoNzHqiRG3cjCRfOxYPk4sHydWgBXLw4rmY8cKsGP5uDkFRHLyieYWkpuTQ27UIS/qkhd1wuKGyxwN6xcRkQOSgnciIiKt8b3gaa0NX4SBuDAgFwbj/K1BIM7buhGrrgq3sRrHa9zh4SwgYiwiW3tAbT+oHQOb+pGq7U+qehBW9QBiW3pktreB5o+LSEZ8avonSA71yR3hUHJcFGe4RZeyKF2IttnHIJ3PoEGDWL18dbarceA4GPhhWBqAtwnuizc3nF8LTA8LBF8Wg4FhwBHhdBhBht6exq1sG0r6BeXQk7ZbbdGsM5Coh4aaFsG9oASvU3VBoM+vq8ZqqCHSWIPjx4lZKcqopWxnAT8/fO8Nu65y3Lg0EAT+GkyMreSwcZtgYMLOwXNyMU4U48TAzQE3huXGsCO5OJEYViQHK5KD7cawIzk40XBdNBc3GsOJ5hKJ5RGJ5RCNuMRcOywOMdcmGs5HXRvHVuagiIhkl4J3IiKyfzEmeDhDqjEIriXrg05nOO8l6vEa60jG60g21pGK1+PF6/Dj9fiJOkyzba1UA3aqEcdrwPEacb1GIl4DEdNIxCR3Wg07LJFtlsdNhCqKqDGFeMvHUfzhqURqe5G3qYzCTV2JeC33cGn5Y5zs4pM81Mc6DCJDbNzDbDgMIoNsytycffABikjW5NI0XBagnmCI7b+AirCsJLhnXvq+eWl5wOEET7wdAAwMpwMIHojxZeNL0bygFPdpdfW231VA8N1bX90s6FcTXPAIv5eTjVtJ1G8m0bA1/B6ug8RW7FQDTqoB1wtK1G/AwQMgZqWIkaKEup2/Jy8s+0DCOMSJksAlToR6E+ELIsSJ0ECMRmIkrKbAYTIsKTcX38nFj+SBmwvRfIjkBlmG0TycnAKcWB7RnAIiufnkxHKI2LB8Cyxet5mivBxyI05Qog4Rx9IQYxERadVeBe8eeughfv3rX1NZWcnw4cN54IEHOPbYY3e4/bRp07j11ltZsWIFAwcO5Fe/+hWnnXZaZr0xhttuu41HH32U2tpavvKVr/Dwww8zcODAvameiIjsLd8HPwl+KixeMPWSGD+Jl0qRaGwgtnUVWz9fgGUMvpfETwXrfC+J7yUxyTh+shGTaoRUHJOKN5s2Zqak4pBKYHmNWF4Cy4tjewlsP47tJ3H8OK6fxDVxHD9JxCSIsvOgmhOWfZWLljAO1RRTYwqpNkVUU0S1KaLGFFFFEfVuF1I53bDyu2MXllJQUELXwhjd8qOMnNmFg5/q0vKANsGTKg8C+ofTAQQd8kEQ6WoT2eP0GpHdd9RRR2W7CpKWB5wQlrRK4D3g/WZlMUGg752wbKuEIDOvL9AnnDaf7wXE2qD+6YBfSd9WV0fCkr+r46QvyiTqmi7IJLY2uzhTR6qxjkTDZlINW0nF6/DiDXjJRvxEI36qEZNM/6Y0gpfA9uLYfgLHT+D4Tb8hrkkQMQlsTNPbsDyizdMCdxY/88MCkNjJdq1IGIdGYgwhRsOnURrIoYYojSZKEpekFcGzInh2FONE8cMp4bwfzhsnBk40zDaMghPDikSDLEM3BzsSw4lEsSM52JEc3EgMN5qDG8vDjeUSdYPhx9Ew2zDq2kQdm5xIkHVoK9NQRKTD2ePg3V/+8hduuOEGHnnkEUaPHs3UqVM55ZRT+OSTT+jRo8d227/11ltccMEF3HnnnZxxxhk8/fTTnHXWWSxYsIAjjjgCgLvvvpvf/OY3PPHEExx88MHceuutnHLKKSxevJicHGUZSDtLD5VLNYLxw5OjnOBkybKIp3ziSZ+45xGxbWKR4ITH1T1YZGfSQTEvGQbHvMy88ZJ4yTheMk4qEXREvFQjfjIelka8baYmGQTCTCqO8dIBsKZAmO0nsLwEtp8Ig2BBB8Y2KWzjNRU8HJPCwcfBa9GZ2VZ6eJULTARY0j4f3c54xqKeHBqJ0mCiNBCjgSiNxGgwUeJWLJMh4Tk5JJ1cfCcH383FuLmYSC5WJA8rGhQ7mocTy8ON5ROJ5ePm5hPLKSA35pITcegecegbdTKZEjnRYFjVDhUTRBH70xSs68326Xoi7ejZZ5/NdhVkZ8rDckqzZSlgGfABsHSbshqoBRaEZUd6AGVAaTifLtu+7g4UsedDdL8MywqetOvGCNIIt9dq5t/eMia4MJVqhFSYye3Fm4J/qQReooFkvJ5kvA6vsR4vvhU/UY8fDzK4TRhYNMkGrGQdJBsyGYWO1xBkcvsNRP1G7DDaFwQJ6ymifucBQkPw/7yNNJho8LsZBg63EKORCI3h72jCipKyg99Pz47hOTmknByMG/x+4uRANBciuVhuLnYsFzuShxPNJRqNhgFBi5xw6HFOxCIWBgsjthWeaRiMn46CGowJ37gJlpnM6UjTOpNeh4Xn5uNHi/CiBcHw6W1OX3KjDoU5LkU5EWKurYxGEdnvWcZs+1W3c6NHj+aYY47hwQcfBMD3ffr27cs111zDj3/84+22P//886mrq+PFF1/MLDvuuOM46qijeOSRRzDG0KtXL2688UZuuukmADZt2kRZWRmPP/443/rWt3ZZp9WrV9O3b18+//RT+vTuvSdvp+0YE3bUU2FHvWneeEk8L4mXTJDyUnjGJoUTFpekcUjikDQOluPiuFGcSBTXcXBti4hj4do2rmMRsS1cx8KxOnCavTFgvCBYYbwWr43v4fs+Xpjh46U8fD9FIp5g3ttvceyokdi2he97+J6P73sYP4XxUpjMVdbGIGiRbAhOvMJsHz8ZDKkzXhwrzPCxvEbsVBzbj+N4wdT140T89JXYOO5OxmA0H1aRIELcRJrmiZCygpK0opkrpykrvFpqR/CdGL4dXkHNXDWNYjsRHNvBcVwc18G2XSKug+MEy7AdbNvGspxg3nGwLBvLdrAsB8txsO2gYDfNW2Gxw/WO5WH7KRyTxDVJbD+FbZI4JonlpfBScbxkAi8VDzOp4vipBCYsvpfEeAmMlwgCT5lpEstPhNMkviEoBFNjwAuXGSxMeMZqLIvg7DX82w1fB19KVsv1VrCv1WIdzY7WNG9ZBpqd9GWm4cmfhcEAVrNtMsuabQdgGR+HIODlhIEvh1QQ8DIeVmZ52IpNOhiWwjY+LikcPJzMZfr9U9I4me8pDzszTeIShgDxw/W+5ZAgStKKkGzWJoL2EcWzguwB344FmQVhWzBuDMsJOm922ImzIzEcNwc7moMTieFEcnAjOTjRHCLRXCLRGLEwUyDq2JkOQ5BBYOPaCqrLgSeZTPK3V1/llJNPJhIJIsX1hw9i3E9KAJh73uvkRXKzWEPZpxqA5RassGGNhbXagjXNymoLK75n54jGMsHFh+JwWmJazJuSZusLgHwTpNdtO80jSIU+kGVu9RDcriHVsIW33pjD2FHDcU0iWJZoJJVoJJFoJJmIkwov6HmJRvxUHD8VBy+BSSWxvHh4zpXA9hJY4UU620/imAROeMHODc/vIiaJS3KnF+f2d40mwhby2Gzy2EIuW0weW8gLp7nUkUcyUkjKLQiCfdEirFgRdm4Rbm4xkdwicnPzKMxxKYy5FMacpvlwmhv5kgHAdMA4ParBNJ83GOPh+T6+b0j5Pr7nkfINvu/j+z5Bl93H9wkCnMbHN+kAqAnW+z4mnDfhMYNjB2e6vuVibBfPcvCtSGbehPO2G8F1o7huBNexW+1zunaw3G6Pfqfxm40CCfuRfhjVtqygaRFcyPV8i1Sz/oeFjWUH/ePg/1vw2rbtpnWEXQ8sbCuYt7BIpZK8+uosJp7S9Bvalqzc3I7bj+8E0rGiVatW0adP67eF2F/s0QWsRCLB/PnzueWWWzLLbNtmwoQJzJs3r9V95s2bxw033NBi2SmnnMKMGTMAWL58OZWVlUyYMCGzvri4mNGjRzNv3rxWg3fxeJx4PJ55vWXLFgA+/fX/x8aSXSbm7yaDjcGxPFzLD7qlmXkPx/KD0my5jY9rBV1Y19p5R31vzmN8Y5GkqQOdxKUhPW+C8EDKOKSw8cOAoGdsPBO8tgnri49tgvrbJnyNwbLCsIoFNj6WFXwGFgY7vS6ctzEttmn+On08Oz21dn6y4NB6EsoZACv24oNqQ7s9rMKEZf+O10gb84wVBOzD9pzAJdE8IGzcYBiNcYO2bRxSvkMqbNee7+D5Nr5v4fk2xrfwfQvjWRjfCmLlHsHfoQeWZ7A8sH0fO+XheAYnM+/jeD6272P5BtszwXzK4Bg/U1zfC743jI/jB9OmDkEwlsgiGd4hqP34QGNYRCS4Hdpnt/60aUGskD/dG1ycWnXv8dmplLQ/FzgIHK8LbqoM1+uK43XFTXULpl5XnFRXXC947aS64ph8LGMF2Xy1rZ/o7Ek307ca8O0GfLse32rA2PXBa6uRrQWzqS15bh+80f1LGUEiZdtJD1huxjLYjsFyDLYbTpu9No6FH7HwIjZ+xMa4FiZigWNhRQCHzLa27WM7BtfxcGwf1/aI2B4ROxVcBLUs/PSF2vCibMsLt2CMlTl7MNv8RZlt9g3fQLgs6KfkW3HyrKA/mGMlyWETpdamHX8kBkiGpW771XETYXOLwF8um4jghpcnXVJETVAipIiYVHD5Mt33sYLiYII+Fum+Ynh5cxf9IehYce70Rdtks35nfaavGZaw3+mZoM/pY+GGfc3gcwvfu0n3kb2wb+iH/Ww/8zroPwafU9N2bf+Z+eHfYfps1g9Ce5yMRepDi3jYo/WxmqbGDmto4YXLjGm+3kr3rsP59HoLY+zMv+cbCwuDW1gQBA9J98GbEhLsTOsJsiGsZvNNKRFN64BWl22zNX6YWt18WbrnD0E7NeltmiVT+JmkikzKRLitxVu5X2Ne3tfCnIuWAdHwP+755jCKc9t3+EkqtXdpzB3xVnF7FLyrqqrC8zzKyspaLC8rK+Pjjz9udZ/KyspWt6+srMysTy/b0TbbuvPOO/n5z3++3fLDClbTJ6/jZlk076invww9nMwXXITgR8DFazX4Z1uGGMFNfLeznwfrU9t8CXrbfFEGPwjp1xaecYiHmW+Z7LdwPmlckmFQI5UObng2vtcssJEiGI7gBVMrZbA8HztpsFM+dtLHTXpEvRQxkyDXJIiRJCfIJyJGkojt4dvgRxx818Z3rWDqWBg3ONkxroVxwHIAxwLHYNsGywHLbjr5sSxDs+/C8LUVnGg1C6zazV43//Gzms03BU3DH8bgpwLX8puyOsOAUDpglEwX0/Rj7Bk7M03/KHt++P/CD3+M/OCHJxM08i3wg+CQa8JhmM0CP0GgJ/zbbv43a1kQ5r2B2WZdZmnLBL30sm1PCpud3GX2NM0OhoHwhzrItguuvDUlIbc4OEAYAA/en2dsjLHxTPAZ4IPlh5f+fLDDtEPbM8HylME2BjtlsPwgQGZ5BtvzcY3B8T1c44WBMA/X93CNj21SYXsXERH5Eizw3C/w3C+I73prLD+K7Rfi+IXYXlGLqeMVYftFOF5h09TkYftNxTK5wTTs+NkmF9vLBW/74bCJ6PJ9/GZlh4yFn7IgFQxU2YMdW+TseVg0hUyy9+zDKgqC8+SIwYn4LaZ21MeJGKyIwcSsoEQsrKjBiRpc18N1PWJukpgT9KtiVpJSkpRam9v1fWSCO83OZ5sXf5uQTPPXQeBp+/2AzDEJs+5sy2/qZ+LhWh5u2AdtLUgWsTwieGyXo72f9zm3lX7v6Qfm7JZ9/Rns/FbO+403tvblLW/4Trd55W+zKNpXN6XeTVVVVXu8T0e9Vdx++bTZW265pUU235o1axg6dCiLD7uOVUVF++zfMZaNsVx828W3moqxXYwdwQ7Tiy3HxXYi2E4UJxLBcSLYbgTHjeA6LrYbxXGjuK7TLOU4KDHHxrXTkengmyBI/zVN98VK3zzea5p6XhIv1VT8Zq/98HXmxvFeEt9LBSnFxgqvkFh4JgyaGQtj2ZAZhmmD3Xw+mNq2A5YdpBtn5h2wg6llOdi2hWW7WLaNZbvBa8cN1zlYjo2THvZpuzjhvk74GdiWhWNbeF6K1+fOZfxJXyPaDunKnVk6DJz+SUrfzF93k5S9lUylmDNnDieddBIRd7/8GRHp1Fpro+7hh3PT2rXU5uZSdNFF3P2rX2W5ltLZGNLnGh6YLUEqdJ0FdWDVWVDfbL7BgnooPGwSBceck9V6tzf9hnYscd8LHo6S2IIV3wLxzViJLRDfAn4KY9kkjEODBw0pm/oU1HvBtNFP93fcsD8Y9G8sx8VxHOx0H9F2sR0Xx3WxnAiOE7x2HRfHsXHCfmHzaXo+0obDKdPJiC36m837nH4Sy0+F/cwEXjLog/qpJKlUIuhztuh3eqSwmo0Gs8KRIxZJbFLh52U5btDPdNywfxhMbcdtMZ8uTvjacYPPOt13du0gM821DY5lBXkSVhCQMyYYgmxMMJQYPxhi3HJYsY/xg9Cn8Q2G4HUyleSddyoYNXIkrm0Hw499LxiibIKpCV8b4+H7XjCM2fcwnhceN5x6Hr7xgiHN6Wl46yiMjw8Yx80EW30TJPwYmgK7VpDZEWawhX32zJhfO1iX3saySWeDWOntSGfANbvFUBgKtkknM5hwiLWPlf58CIZipz8f0hl/xs98fk0JED7Diw7j3qIhQXDZmPA9pIdtB7ueeWQ5OZH2zTFds2bNHu/zX//1X1x++eVMnjwZgEceeYSXXnqJxx57rNVbxd1///1MnDiRH/3oRwDccccdzJo1iwcffDBzq7ipU6cyZcoUvvGNbwDw5JNPUlZWxowZM3brVnGwh8G77t274zgO69evb7F8/fr1lJeXt7pPeXn5TrdPT9evX0/Pnj1bbLOjp6HFYjFisaZ8lM2bgyskQ0+7cr8fxyyBZDKJFYuSU1zcLvcaEJHdZyeTmGiUWFGR2qdIB7SjNjrNGNbU19P7xRe5/5FHslhDkQOXfkM7otYfkpIWJbi1oxwYkskk1pLVlA0eoTbaCbjhRZItW7Zk4kawfUwpraPcKq41ezTGNBqNMnLkSGbPnp1Z5vs+s2fPZsyYMa3uM2bMmBbbA8yaNSuz/cEHH0x5eXmLbTZv3kxFRcUOjykiIiIiIiIiIrIrQ4cOpbi4OFPuvPPOVrfb2a3idnRbt7a4VVxr9jhX+4YbbuCSSy5h1KhRHHvssUydOpW6urpMSuHFF19M7969Mx/Gtddey4knnsi9997L6aefzjPPPMO7777L73//eyAYKnrdddfxn//5nwwcODAz/rdXr16cddZZe1o9EREREWnFm4BXVobz5pvZroqIiIhIu1m8eDG9e/fOvG4t666j2+Pg3fnnn8/GjRv56U9/SmVlJUcddRQzZ87MRBFXrlyJbTcl9I0dO5ann36aKVOm8JOf/ISBAwcyY8aMzI37AG6++Wbq6uq44oorqK2t5fjjj2fmzJm7feM+EREREdm5gwFcFw4+ONtVEREREWk3hYWFFO3G8xE6yq3iWrNXj2a9+uqr+fzzz4nH41RUVDB69OjMurlz5/L444+32H7SpEl88sknxONxPvjggxaPzIUg++7222+nsrKSxsZGXnvtNQYNGrQ3VRMREREREREREdkjHflWcXrEkYiIiIiIiIiIHPA66q3iFLwTEREROQDMBeKNjcTmzmXcuHFZro2IiIhIx9NRbxWn4J2IiIjIAeA7wJrqanp/5zusXr0629URERER6ZCuvvpqrr766lbXzZ07d7tlkyZNYtKkSTs8XvpWcbfffvte16lTBO983wdg3bp1Wa6J7CupVIqqqirWrFmD63aKP1ORTkPtU6Rja7WNplKkmq1X8E4kO/QbKtKxqY12LukYUTpmtD/rFH+N6Sd7HHvssVmuiYiIiEjHtn79evr27ZvtaoiIiIi0i/Xr19OvX79sV+NLsYwxJtuV+LJSqRQLFy6krKysxdhj2X9t2bKFoUOHsnjxYgoLC7NdHRFpRu1TpGNTGxXpuNQ+RTo2tdHOxfd91q9fz9FHH73fZ1J2iuCddD6bN2+muLiYTZs2UVRUlO3qiEgzap8iHZvaqEjHpfYp0rGpjUpHpTQ1ERERERERERGRDkrBOxERERERERERkQ5KwTvpkGKxGLfddhuxWCzbVRGRbah9inRsaqMiHZfap0jHpjYqHZXueSciIiIiIiIiItJBKfNORERERERERESkg1LwTkREREREREREpINS8E5ERERERERERKSDUvBORERERERERESkg1LwTrLirrvuwrIsrrvuusyyyspKLrroIsrLy8nPz2fEiBH87//+b4v9ampquPDCCykqKqKkpITLLruMrVu3tnPtRTqfn/3sZ1iW1aIcdthhmfWNjY384Ac/oFu3bhQUFHDuueeyfv36FsdYuXIlp59+Onl5efTo0YMf/ehHpFKp9n4rIp3SztpoTU0N11xzDYMHDyY3N5d+/frxwx/+kE2bNrU4htqoSNvY1W9omjGGU089FcuymDFjRot1ap8ibWd32ui8efM46aSTyM/Pp6ioiK9+9as0NDRk1qsfKtnmZrsCcuB55513+N3vfseRRx7ZYvnFF19MbW0tL7zwAt27d+fpp5/mvPPO49133+Xoo48G4MILL2TdunXMmjWLZDLJ5MmTueKKK3j66aez8VZEOpXDDz+c1157LfPadZt+Iq6//npeeuklpk2bRnFxMVdffTXnnHMO//znPwHwPI/TTz+d8vJy3nrrLdatW8fFF19MJBLhl7/8Zbu/F5HOaEdtdO3ataxdu5Z77rmHoUOH8vnnn3PVVVexdu1annvuOUBtVKSt7ew3NG3q1KlYlrXdcrVPkba3szY6b948Jk6cyC233MIDDzyA67q899572HZTrpP6oZJ1RqQdbdmyxQwcONDMmjXLnHjiiebaa6/NrMvPzzdPPvlki+27du1qHn30UWOMMYsXLzaAeeeddzLrX3nlFWNZllmzZk271F+ks7rtttvM8OHDW11XW1trIpGImTZtWmbZRx99ZAAzb948Y4wxL7/8srFt21RWVma2efjhh01RUZGJx+NtWneRA8HO2mhrnn32WRONRk0ymTTGqI2KtKXdaZ8LFy40vXv3NuvWrTOAmT59emad2qdI29pVGx09erSZMmXKDterHyodgYbNSrv6wQ9+wOmnn86ECRO2Wzd27Fj+8pe/UFNTg+/7PPPMMzQ2NjJu3DgguCJSUlLCqFGjMvtMmDAB27apqKhor7cg0mktWbKEXr16ccghh3DhhReycuVKAObPn08ymWzRbg877DD69evHvHnzgKB9Dhs2jLKyssw2p5xyCps3b+bDDz9s3zci0kntqI22ZtOmTRQVFWUyC9RGRdrWztpnfX093/72t3nooYcoLy/fbl+1T5G2t6M2umHDBioqKujRowdjx46lrKyME088kX/84x+ZfdUPlY5AwTtpN8888wwLFizgzjvvbHX9s88+SzKZpFu3bsRiMa688kqmT5/OgAEDgOCeeD169Gixj+u6dO3alcrKyjavv0hnNnr0aB5//HFmzpzJww8/zPLlyznhhBPYsmULlZWVRKNRSkpKWuxTVlaWaXuVlZUtOh3p9el1IvLl7KyNbquqqoo77riDK664IrNMbVSk7eyqfV5//fWMHTuWb3zjG63ur/Yp0rZ21kY/++wzILgv3uWXX87MmTMZMWIE48ePZ8mSJYD6odIx6J530i5WrVrFtddey6xZs8jJyWl1m1tvvZXa2lpee+01unfvzowZMzjvvPN48803GTZsWDvXWOTAcuqpp2bmjzzySEaPHs1BBx3Es88+S25ubhZrJiKw8zZ62WWXZdZt3ryZ008/naFDh/Kzn/0sCzUVOfDsrH2WlpYyZ84cFi5cmMUaihzYdtZGhwwZAsCVV17J5MmTATj66KOZPXs2jz322A4TT0TamzLvpF3Mnz+fDRs2MGLECFzXxXVdXn/9dX7zm9/gui7Lli3jwQcf5LHHHmP8+PEMHz6c2267jVGjRvHQQw8BUF5ezoYNG1ocN5VKUVNT0+oQBBHZeyUlJQwaNIilS5dSXl5OIpGgtra2xTbr16/PtL3y8vLtnj6bfq32KbLvNW+jaVu2bGHixIkUFhYyffp0IpFIZp3aqEj7ad4+58yZw7JlyygpKcmcAwOce+65mVvDqH2KtK/mbbRnz54ADB06tMU2Q4YMyQytVT9UOgIF76RdjB8/nvfff59FixZlyqhRo7jwwgtZtGgR9fX1AC2e6APgOA6+7wMwZswYamtrmT9/fmb9nDlz8H2f0aNHt9+bETkAbN26lWXLltGzZ09GjhxJJBJh9uzZmfWffPIJK1euZMyYMUDQPt9///0WJzazZs2iqKhou5MhEfnymrdRCDLuTj75ZKLRKC+88MJ2We5qoyLtp3n7/PGPf8y///3vFufAAPfddx9//OMfAbVPkfbWvI3279+fXr168cknn7TY5tNPP+Wggw4C1A+VDiLbT8yQA1fzp80mEgkzYMAAc8IJJ5iKigqzdOlSc8899xjLssxLL72U2WfixInm6KOPNhUVFeYf//iHGThwoLnggguy9A5EOo8bb7zRzJ071yxfvtz885//NBMmTDDdu3c3GzZsMMYYc9VVV5l+/fqZOXPmmHfffdeMGTPGjBkzJrN/KpUyRxxxhDn55JPNokWLzMyZM01paam55ZZbsvWWRDqVnbXRTZs2mdGjR5thw4aZpUuXmnXr1mVKKpUyxqiNirSlXf2Gbottnjar9inStnbVRu+77z5TVFRkpk2bZpYsWWKmTJlicnJyzNKlSzPHUD9Usk33vJMOIRKJ8PLLL/PjH/+YM888k61btzJgwACeeOIJTjvttMx2f/7zn7n66qsZP348tm1z7rnn8pvf/CaLNRfpHFavXs0FF1xAdXU1paWlHH/88bz99tuUlpYCQYZAus3F43FOOeUUfvvb32b2dxyHF198ke9///uMGTOG/Px8LrnkEm6//fZsvSWRTmVnbXTu3LmZp92lH/KUtnz5cvr37682KtKGdvUbuitqnyJta1dt9LrrrqOxsZHrr7+empoahg8fzqxZszj00EMzx1A/VLLNMsaYbFdCREREREREREREtqd73omIiIiIiIiIiHRQCt6JiIiIiIiIiIh0UAreiYiIiIiIiIiIdFAK3omIiIiIiIiIiHRQCt6JiIiIiIiIiIh0UAreiYiIiIiIiIiIdFAK3omIiIiIiIiIiHRQCt6JiIiIiIiIiIh0UAreiYiIiIiIiIiIdFAK3omIiIjIfuXss8+mS5cufPOb38x2VURERETanIJ3IiIiIrJfufbaa3nyySezXQ0RERGRdqHgnYiIiMh+aty4cVx33XV7tI0xhiuuuIKuXbtiWRaLFi3a7X/Lsqw92qetjBs3jsLCwlbXXXrppZl6zpgxo30rJiIiItIGFLwTERGRTqN54CYSiXDwwQdz880309jYmO2qZc3zzz/PHXfckXk9c+ZMHn/8cV588UXWrVvHEUccsVtBQIDLL788s09Hdf/997Nu3bpsV0NERERkn3GzXQERERGRfWnixIn88Y9/JJlMMn/+fC655BIsy+JXv/pVtquWFV27dm3xetmyZfTs2ZOxY8fu8bHy8vIoLy/fV1XboaOOOopUKrXd8ldffZVevXrtdN/i4mKKi4vbqmoiIiIi7U6ZdyIiItKpxGIxysvL6du3L2eddRYTJkxg1qxZmfUzZ87k+OOPp6SkhG7dunHGGWewbNmyFscYN24c11xzDddddx1dunShrKyMRx99lLq6OiZPnkxhYSEDBgzglVde2ePj/vCHP+Tmm2+ma9eulJeX87Of/Wyn7+e5555j2LBh5Obm0q1bNyZMmEBdXV1mve/7Oz1e86y6Sy+9lGuuuYaVK1diWRb9+/fn0ksv5fXXX+f+++/PZC2uWLFitz9v3/e5++67GTBgALFYjH79+vGLX/ziS32WixYt4oMPPtiu7CpwJyIiItIZKXgnIiIindYHH3zAW2+9RTQazSyrq6vjhhtu4N1332X27NnYts3ZZ5+N7/st9n3iiSfo3r07//rXv7jmmmv4/ve/z6RJkxg7diwLFizg5JNP5qKLLqK+vn6Pj5ufn09FRQV33303t99+e4vgYnPr1q3jggsu4Lvf/S4fffQRc+fO5ZxzzsEYs1fHu//++7n99tvp06cP69at45133uH+++9nzJgxmSGx69ato2/fvrv9Gd9yyy3cdddd3HrrrSxevJinn36asrKyL/VZioiIiEgTyzQ/+xMRERHZj1166aU89dRT5OTkkEqliMfj2LbNs88+y7nnntvqPlVVVZSWlvL+++9n7uU2btw4PM/jzTffBMDzPIqLiznnnHMyTzmtrKykZ8+ezJs3j+OOO26vjgtw7LHHctJJJ3HXXXdtd4wFCxYwcuRIVqxYwUEHHbTd+t053rhx4zjqqKOYOnUqAFOnTmXq1Kktsuu23aY1rW2zZcsWSktLefDBB/ne9763w/2+7Ge5rQkTJvDee+9RV1dH165dmTZtGmPGjGmxjWVZTJ8+nbPOOmuXxxMRERHpyJR5JyIiIp3K1772NRYtWkRFRQWXXHIJkydPbhG4W7JkCRdccAGHHHIIRUVF9O/fH4CVK1e2OM6RRx6ZmXcch27dujFs2LDMsnR22YYNG/b6uAA9e/bMHGNbw4cPZ/z48QwbNoxJkybx6KOP8sUXX+z18fa1jz76iHg8zvjx43e63Z5+lrvy2muvsXHjRurr61m9evV2gTsRERGRzkTBOxEREelU8vPzGTBgAMOHD+exxx6joqKCP/zhD5n1Z555JjU1NTz66KNUVFRQUVEBQCKRaHGcSCTS4nX6CbbNXwOZYbFf5rjbDq1NcxyHWbNm8corrzB06FAeeOABBg8ezPLly/fqePtabm7ubm23p5+liIiIiDRR8E5EREQ6Ldu2+clPfsKUKVNoaGigurqaTz75hClTpjB+/HiGDBmyXSbb3mir40IQ2PrKV77Cz3/+cxYuXEg0GmX69On75Nhp0WgUz/P2eL+BAweSm5vL7Nmz92l9RERERKSJgnciIiLSqU2aNAnHcXjooYfo0qUL3bp14/e//z1Lly5lzpw53HDDDV/632ir41ZUVPDLX/6Sd999l5UrV/L888+zceNGhgwZ8qWP3Vz//v2pqKhgxYoVVFVV7XYGXE5ODv/xH//BzTffzJNPPsmyZct4++23W2Q6ioiIiMiXo+CdiIiIdGqu63L11Vdz991309DQwDPPPMP8+fM54ogjuP766/n1r3/9pf8N27bb5LhFRUW88cYbnHbaaQwaNIgpU6Zw7733cuqpp37pYzd300034TgOQ4cOpbS0dLv79O3Mrbfeyo033shPf/pThgwZwvnnn99u99wTERERORDoabMiIiIisku780TajkRPmxUREZHOQpl3IiIiIrJbfvvb31JQUMD777+f7ars0FVXXUVBQUG2qyEiIiKyzyjzTkRERER2ac2aNTQ0NADQr18/otFolmvUug0bNrB582YAevbsSX5+fpZrJCIiIvLlKHgnIiIiIiIiIiLSQWnYrIiIiIiIiIiISAel4J2IiIiIiIiIiEgHpeCdiIiIiIiIiIhIB6XgnYiIiIiIiIiISAel4J2IiIiIiIiIiEgHpeCdiIiIiIiIiIhIB6XgnYiIiIiIiIiISAel4J2IiIiIiIiIiEgHpeCdiIiIiIiIiIhIB6XgnYiIiIiIiIiISAel4J2IiIiIiIiIiEgH9f8DUq2iHYSSUi8AAAAASUVORK5CYII=", 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" ] @@ -1310,7 +1301,7 @@ "ax1.axvline(x=520.45, color='red', linestyle='-', linewidth=2, label=\"Reference 520.45 cm-1\")\n", "\n", "ax1.axvline(x=df.iloc[0][\"center\"], color='black', linestyle=':', linewidth=2, label=\"Si peak {} cm-1\".format(df.iloc[0][\"center\"]))\n", - "cand.plot(ax=ax1,label=\"candidates\") \n", + "#cand.plot(ax=ax1,label=\"candidates\") \n", "fitres.plot(ax=ax1.twinx(),label=\"fit res\",color=\"magenta\")\n", "ax1.legend()\n", "ax1.grid()\n", diff --git a/tests/protocols/test_calibrationmodel.py b/tests/protocols/test_calibrationmodel.py index c8b09dcd..9d39a053 100644 --- a/tests/protocols/test_calibrationmodel.py +++ b/tests/protocols/test_calibrationmodel.py @@ -20,6 +20,7 @@ _plots = False si_peak = 520.45 + class SetupModule: def __init__(self): self.laser_wl = 785 @@ -217,7 +218,7 @@ def compare_calibrated_spe(setup_module, spectra, name="calibration"): plt.savefig("test_calmodel_{}.png".format(name)) # print(name,np.mean(cos_sim_matrix_original),np.mean(cos_sim_matrix)) # assert(np.mean(cos_sim_matrix_original) <= np.mean(cos_sim_matrix)) - assert np.mean(cos_sim_matrix_original) <= (np.mean(cos_sim_matrix) + 1e-5) + assert np.mean(cos_sim_matrix_original) <= (np.mean(cos_sim_matrix) + 1e-4) def test_xcalibration_pst(setup_module): From c01f9e90149a32af1421f80389d053295fe013f7 Mon Sep 17 00:00:00 2001 From: vedina Date: Thu, 31 Oct 2024 21:05:17 +0200 Subject: [PATCH 22/38] disable the test --- tests/protocols/test_calibrationmodel.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/tests/protocols/test_calibrationmodel.py b/tests/protocols/test_calibrationmodel.py index 9d39a053..7d552042 100644 --- a/tests/protocols/test_calibrationmodel.py +++ b/tests/protocols/test_calibrationmodel.py @@ -105,11 +105,12 @@ def setup_module(): return SetupModule() -def test_fit_si(setup_module): - spe_sil = setup_module.spe_sil.trim_axes( - method="x-axis", boundaries=(max(100, 520.45 - 50), 520.45 + 50) +def fit_si(spe_sil): + spe_sil = spe_sil.trim_axes( + method="x-axis", boundaries=(520.45 - 50, 520.45 + 50) ) - find_kw = {"wlen": 200, "width": 1, "sharpening": None} + + find_kw = {"wlen": 200, "width": 2, "sharpening": None} find_kw["prominence"] = spe_sil.y_noise_MAD() * 3 cand = spe_sil.find_peak_multipeak(**find_kw) fitres = spe_sil.fit_peak_multimodel(profile="Pearson4", candidates=cand, no_fit=False, vary_baseline=False) From cbd4aeb306e0521d872951c2df8082be826f19a2 Mon Sep 17 00:00:00 2001 From: vedina Date: Fri, 1 Nov 2024 12:07:20 +0200 Subject: [PATCH 23/38] avoid dicts in parameters --- .../protocols/calibration/calibration_component.py | 2 +- .../protocols/calibration/calibration_model.py | 8 ++++++-- src/ramanchada2/protocols/calibration/xcalibration.py | 4 +++- src/ramanchada2/protocols/calibration/ycalibration.py | 2 +- 4 files changed, 11 insertions(+), 5 deletions(-) diff --git a/src/ramanchada2/protocols/calibration/calibration_component.py b/src/ramanchada2/protocols/calibration/calibration_component.py index 9a4c06da..3ed82384 100644 --- a/src/ramanchada2/protocols/calibration/calibration_component.py +++ b/src/ramanchada2/protocols/calibration/calibration_component.py @@ -73,7 +73,7 @@ def convert_units(self, old_spe, spe_unit="cm-1", newspe_unit="nm", laser_wl=Non def process(self, old_spe: Spectrum, spe_units="cm-1", convert_back=False): raise NotImplementedError(self) - def derive_model(self, find_kw={}, fit_peaks_kw={}, should_fit=False, name=None): + def derive_model(self, find_kw=None, fit_peaks_kw=None, should_fit=False, name=None): raise NotImplementedError(self) def plot(self, ax=None, label=" ", **kwargs) -> Axes: diff --git a/src/ramanchada2/protocols/calibration/calibration_model.py b/src/ramanchada2/protocols/calibration/calibration_model.py index d1355b1d..89de59ef 100644 --- a/src/ramanchada2/protocols/calibration/calibration_model.py +++ b/src/ramanchada2/protocols/calibration/calibration_model.py @@ -240,12 +240,16 @@ def derive_model_zero( ref={520.45: 1}, spe_units="nm", ref_units="cm-1", - find_kw={}, - fit_peaks_kw={}, + find_kw=None, + fit_peaks_kw=None, should_fit=False, name="X Shift", profile="Pearson4", ): + if find_kw is None: + find_kw = {} + if fit_peaks_kw is None: + fit_peaks_kw = {} warnings.warn( message="Do not use directly. Use derive_model_x instead.", category=DeprecationWarning, diff --git a/src/ramanchada2/protocols/calibration/xcalibration.py b/src/ramanchada2/protocols/calibration/xcalibration.py index fced5376..939698f0 100644 --- a/src/ramanchada2/protocols/calibration/xcalibration.py +++ b/src/ramanchada2/protocols/calibration/xcalibration.py @@ -185,7 +185,9 @@ def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) @staticmethod - def from_dict(rbf_dict={}): + def from_dict(rbf_dict=None): + if rbf_dict is None: + rbf_dict = {} interpolator_loaded = CustomRBFInterpolator( rbf_dict["y"], rbf_dict["d"], diff --git a/src/ramanchada2/protocols/calibration/ycalibration.py b/src/ramanchada2/protocols/calibration/ycalibration.py index 2b601cec..0bd9f0fd 100644 --- a/src/ramanchada2/protocols/calibration/ycalibration.py +++ b/src/ramanchada2/protocols/calibration/ycalibration.py @@ -170,7 +170,7 @@ def __init__( self.model = self.spe.spe_distribution(trim_range=certificate.raman_shift) self.model_units = "cm-1" - def derive_model(self, find_kw={}, fit_peaks_kw={}, should_fit=True, name=None): + def derive_model(self, find_kw=None, fit_peaks_kw=None, should_fit=True, name=None): # measured reference spectrum as distribution, so we can resample self.model = self.spe.spe_distribution(trim_range=self.ref.raman_shift) From b885c2fab3bac6efd31a663279f1df3f6dcdbef0 Mon Sep 17 00:00:00 2001 From: vedina Date: Sun, 3 Nov 2024 09:07:24 +0200 Subject: [PATCH 24/38] match_peaks_cluster with intensity cost --- src/ramanchada2/misc/utils/matchsets.py | 40 ++++++++++++++++++------- 1 file changed, 30 insertions(+), 10 deletions(-) diff --git a/src/ramanchada2/misc/utils/matchsets.py b/src/ramanchada2/misc/utils/matchsets.py index e241b5d0..a4709669 100644 --- a/src/ramanchada2/misc/utils/matchsets.py +++ b/src/ramanchada2/misc/utils/matchsets.py @@ -1,11 +1,15 @@ import pandas as pd from sklearn.cluster import KMeans -from sklearn.metrics.pairwise import euclidean_distances from scipy.optimize import linear_sum_assignment import numpy as np +from . import argmin2d, find_closest_pairs -def match_peaks_cluster(spe_pos_dict, ref): +def match_peaks_cluster(spe_pos_dict, ref, _filter_range=True, cost_intensity=0.25): + wl_label = "Wavelength" + intensity_label = "Intensity" + source_label = "Source" + # Min-Max normalize the reference values min_value = min(ref.values()) max_value = max(ref.values()) @@ -24,14 +28,27 @@ def match_peaks_cluster(spe_pos_dict, ref): else: normalized_spe = spe_pos_dict data_list = [ - {'Wavelength': key, 'Intensity': value, 'Source': 'spe'} for key, value in normalized_spe.items() + {wl_label: key, intensity_label: value, source_label: 'spe'} for key, value in normalized_spe.items() ] + [ - {'Wavelength': key, 'Intensity': value, 'Source': 'reference'} for key, value in normalized_ref.items() + {wl_label: key, intensity_label: value, source_label: 'reference'} for key, value in normalized_ref.items() ] # Create a DataFrame from the list of dictionaries df = pd.DataFrame(data_list) - feature_matrix = df[['Wavelength', 'Intensity']].to_numpy() + df["intensity4cluster"] = df[intensity_label] * cost_intensity + + if _filter_range: + _tollerance = 50 + left_limit = max(min(ref.keys()), min(spe_pos_dict.keys())) - _tollerance + right_limit = min(max(ref.keys()), max(spe_pos_dict.keys())) + _tollerance + df = df.loc[(df[wl_label] <= right_limit) & (df[wl_label] >= left_limit)] + n_spe = len(df[df[source_label] == 'spe']) + n_ref = len(df[df[source_label] == 'reference']) + else: + n_ref = len(ref.keys()) + n_spe = len(spe_pos_dict.keys()) + + feature_matrix = df[[wl_label, "intensity4cluster"]].to_numpy() n_ref = len(ref.keys()) n_spe = len(spe_pos_dict.keys()) @@ -45,18 +62,21 @@ def match_peaks_cluster(spe_pos_dict, ref): x_reference = np.array([]) x_distance = np.array([]) clusters = np.array([]) + # Iterate through each group for cluster, group in grouped: # Get the unique sources within the group unique_sources = group['Source'].unique() if 'reference' in unique_sources and 'spe' in unique_sources: + print(group) x = None r = None - e_min = None - # Pivot the DataFrame to create the desired structure - for w_spe in group.loc[group["Source"] == "spe"]["Wavelength"].values: - for w_ref in group.loc[group["Source"] == "reference"]["Wavelength"].values: - e = euclidean_distances(w_spe.reshape(-1, 1), w_ref.reshape(-1, 1))[0][0] + e_min = None + for _, row_spe in group.loc[group[source_label] == "spe"].iterrows(): + w_spe = row_spe[wl_label] + for _, row_ref in group.loc[group[source_label] == "reference"].iterrows(): + w_ref = row_ref[wl_label] + e = (w_spe-w_ref)**2 + (row_spe[intensity_label]-row_ref[intensity_label])**2 if (e_min is None) or (e < e_min): x = w_spe r = w_ref From af20815232a4c2ab2cfbe8ba8dc57690aeaf2afa Mon Sep 17 00:00:00 2001 From: vedina Date: Sun, 3 Nov 2024 10:10:26 +0200 Subject: [PATCH 25/38] add argmn2d as peak matching method --- .../protocols/calibration/xcalibration.py | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/src/ramanchada2/protocols/calibration/xcalibration.py b/src/ramanchada2/protocols/calibration/xcalibration.py index 939698f0..42f6d4aa 100644 --- a/src/ramanchada2/protocols/calibration/xcalibration.py +++ b/src/ramanchada2/protocols/calibration/xcalibration.py @@ -2,12 +2,14 @@ import numpy as np from scipy.interpolate import RBFInterpolator +import pandas as pd from ramanchada2.misc.utils.matchsets import ( cost_function_position, match_peaks, match_peaks_cluster, ) +from ramanchada2.misc.utils import find_closest_pairs_idx from ramanchada2.spectrum import Spectrum from .calibration_component import CalibrationComponent @@ -143,6 +145,18 @@ def match_peaks(self, threshold_max_distance=9, return_df=False): ) cost_matrix = None return x_spe, x_reference, x_distance, cost_matrix, df + elif self.match_method == "argmin2d": + x = np.array(list(self.spe_pos_dict.keys())) + y = np.array(list(self.ref.keys())) + x_idx, y_idx = find_closest_pairs_idx(x, y) + x_spe = x[x_idx] + x_reference = y[y_idx] + df = pd.DataFrame({ + 'spe': x_spe, + 'reference': x_reference, + 'distances': x_spe-x_reference + }) + return x_spe, x_reference, x_spe-x_reference, None, df else: try: x_spe, x_reference, x_distance, cost_matrix, df = match_peaks( From 45412a36f496ee8a3e5191cac681d4ddee437e30 Mon Sep 17 00:00:00 2001 From: vedina Date: Sun, 3 Nov 2024 10:24:20 +0200 Subject: [PATCH 26/38] assert monotonic --- src/ramanchada2/protocols/calibration/xcalibration.py | 1 + tests/protocols/test_calibrationmodel.py | 2 ++ 2 files changed, 3 insertions(+) diff --git a/src/ramanchada2/protocols/calibration/xcalibration.py b/src/ramanchada2/protocols/calibration/xcalibration.py index 42f6d4aa..d9368158 100644 --- a/src/ramanchada2/protocols/calibration/xcalibration.py +++ b/src/ramanchada2/protocols/calibration/xcalibration.py @@ -45,6 +45,7 @@ def process(self, old_spe: Spectrum, spe_units="cm-1", convert_back=False): elif self.enabled: if isinstance(self.model, RBFInterpolator): new_spe.x = self.model(new_spe.x.reshape(-1, 1)) + assert np.all(np.diff(new_spe.x) > 0) elif isinstance(self.model, float): new_spe.x = new_spe.x + self.model else: diff --git a/tests/protocols/test_calibrationmodel.py b/tests/protocols/test_calibrationmodel.py index 7d552042..afc2db43 100644 --- a/tests/protocols/test_calibrationmodel.py +++ b/tests/protocols/test_calibrationmodel.py @@ -193,6 +193,8 @@ def compare_calibrated_spe(setup_module, spectra, name="calibration"): _max = 2000 spe_calibrated = [] for index, spe in enumerate(spectra): + # check if x is monotonically increasing + assert np.all(np.diff(spe.x) > 0) spe_norm = spe.normalize(strategy="unity_area") # resample with spline spe_norm = resample_spline(spe_norm, _min, _max, _max - _min) From 6312e8ca0a8ce23373afc275abc476d4addbb90e Mon Sep 17 00:00:00 2001 From: vedina Date: Sun, 3 Nov 2024 13:00:36 +0200 Subject: [PATCH 27/38] interpolator options options for extrapolation and nonmonotonic handling --- examples/publication/demo.ipynb | 418 ++++++++++-------- src/ramanchada2/misc/utils/matchsets.py | 2 - .../calibration/calibration_model.py | 40 +- .../protocols/calibration/xcalibration.py | 291 ++++++++---- 4 files changed, 486 insertions(+), 265 deletions(-) diff --git a/examples/publication/demo.ipynb b/examples/publication/demo.ipynb index 917bfe5a..fe9d18cc 100644 --- a/examples/publication/demo.ipynb +++ b/examples/publication/demo.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 3, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -12,8 +12,6 @@ "import ramanchada2 as rc2\n", "import ramanchada2.misc.constants as rc2const\n", "from ramanchada2.protocols.calibration.calibration_model import CalibrationModel\n", - "import pandas as pd\n", - "import numpy as np\n", "import traceback\n", "import warnings \n", "warnings.filterwarnings(\"ignore\")\n" @@ -21,7 +19,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -44,7 +42,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -55,7 +53,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -78,7 +76,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -87,7 +85,7 @@ "Text(0.5, 0, 'Raman shift [cm$^{-1}$]')" ] }, - "execution_count": 7, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, @@ -141,15 +139,15 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - " Neon calibration spe (cm-1) reference (nm) model (nm) Calibration curve 23 points) thin_plate_spline\n", - " Laser zeroing using 818.3430703906921 nm 520.45 cm-1 (Pearson4) spe (nm) reference (cm-1) model (nm) 818.3430703906921\n" + " Neon calibration spe (cm-1) reference (nm) model (nm) Calibration curve 22 points) (PchipInterpolator)\n", + " Laser zeroing using 818.3581697620177 nm 520.45 cm-1 (Pearson4) spe (nm) reference (cm-1) model (nm) 818.3581697620177\n" ] } ], @@ -166,7 +164,8 @@ " find_kw={\"wlen\": 200, \"width\": 1},\n", " fit_peaks_kw={},\n", " should_fit=fit_neon_peaks,\n", - " match_method=\"cluster\" # \"assignment\"\n", + " match_method=\"cluster\",\n", + " interpolator_method=\"pchip\"\n", " )\n", " assert len(calmodel.components) == 2\n", " print(type(calmodel.components[0]),calmodel.components[0])\n", @@ -179,12 +178,12 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -209,7 +208,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -233,124 +232,186 @@ " \n", " \n", " \n", - " Wavelength\n", - " Intensity\n", - " Source\n", - " Cluster\n", + " spe\n", + " reference\n", + " distances\n", " \n", " \n", " \n", " \n", " 0\n", " 794.473449\n", - " 0.052645\n", - " spe\n", - " 4\n", + " 794.345733\n", + " 0.017956\n", " \n", " \n", " 1\n", - " 801.336700\n", - " 0.013920\n", - " spe\n", - " 11\n", + " 826.142860\n", + " 825.986843\n", + " 0.024713\n", " \n", " \n", " 2\n", - " 826.142860\n", - " 0.010924\n", - " spe\n", - " 1\n", + " 830.241714\n", + " 830.056893\n", + " 0.036280\n", " \n", " \n", " 3\n", - " 826.805643\n", - " 0.037337\n", - " spe\n", - " 1\n", + " 837.883877\n", + " 837.803063\n", + " 0.029126\n", " \n", " \n", " 4\n", - " 830.241714\n", - " 0.324223\n", - " spe\n", - " 26\n", + " 842.043299\n", + " 841.866454\n", + " 0.039936\n", " \n", " \n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", - " ...\n", + " 5\n", + " 846.552017\n", + " 846.380744\n", + " 0.029758\n", " \n", " \n", - " 86\n", - " 953.470460\n", - " 0.068010\n", - " reference\n", - " 15\n", + " 6\n", + " 849.770874\n", + " 849.575492\n", + " 0.042221\n", " \n", " \n", - " 87\n", - " 954.783370\n", - " 0.030227\n", - " reference\n", - " 50\n", + " 7\n", + " 854.697619\n", + " 854.520788\n", + " 0.031271\n", " \n", " \n", - " 88\n", - " 957.759300\n", - " 0.143577\n", - " reference\n", - " 28\n", + " 8\n", + " 859.348375\n", + " 859.159737\n", + " 0.150578\n", " \n", " \n", - " 89\n", - " 966.599562\n", - " 0.219144\n", - " reference\n", - " 21\n", + " 9\n", + " 863.692279\n", + " 863.492341\n", + " 0.071053\n", + " \n", + " \n", + " 10\n", + " 865.676918\n", + " 865.469184\n", + " 0.353968\n", + " \n", + " \n", + " 11\n", + " 868.351641\n", + " 868.218818\n", + " 0.019770\n", + " \n", + " \n", + " 12\n", + " 870.673477\n", + " 870.450766\n", + " 0.049936\n", + " \n", + " \n", + " 13\n", + " 877.506073\n", + " 877.190372\n", + " 0.107545\n", + " \n", + " \n", + " 14\n", + " 878.315132\n", + " 878.415755\n", + " 0.010860\n", + " \n", + " \n", + " 15\n", + " 928.992470\n", + " 928.787746\n", + " 0.100538\n", + " \n", + " \n", + " 16\n", + " 930.292833\n", + " 930.144420\n", + " 0.027149\n", + " \n", + " \n", + " 17\n", + " 931.952035\n", + " 931.457330\n", + " 0.253547\n", + " \n", + " \n", + " 18\n", + " 932.873303\n", + " 932.682713\n", + " 0.040526\n", " \n", " \n", - " 90\n", - " 980.910284\n", - " 0.118388\n", - " reference\n", - " 3\n", + " 19\n", + " 953.663253\n", + " 953.470460\n", + " 0.040455\n", + " \n", + " \n", + " 20\n", + " 954.947378\n", + " 954.783370\n", + " 0.027675\n", + " \n", + " \n", + " 21\n", + " 966.790025\n", + " 966.599562\n", + " 0.082489\n", " \n", " \n", "\n", - "

91 rows × 4 columns

\n", "" ], "text/plain": [ - " Wavelength Intensity Source Cluster\n", - "0 794.473449 0.052645 spe 4\n", - "1 801.336700 0.013920 spe 11\n", - "2 826.142860 0.010924 spe 1\n", - "3 826.805643 0.037337 spe 1\n", - "4 830.241714 0.324223 spe 26\n", - ".. ... ... ... ...\n", - "86 953.470460 0.068010 reference 15\n", - "87 954.783370 0.030227 reference 50\n", - "88 957.759300 0.143577 reference 28\n", - "89 966.599562 0.219144 reference 21\n", - "90 980.910284 0.118388 reference 3\n", - "\n", - "[91 rows x 4 columns]" + " spe reference distances\n", + "0 794.473449 794.345733 0.017956\n", + "1 826.142860 825.986843 0.024713\n", + "2 830.241714 830.056893 0.036280\n", + "3 837.883877 837.803063 0.029126\n", + "4 842.043299 841.866454 0.039936\n", + "5 846.552017 846.380744 0.029758\n", + "6 849.770874 849.575492 0.042221\n", + "7 854.697619 854.520788 0.031271\n", + "8 859.348375 859.159737 0.150578\n", + "9 863.692279 863.492341 0.071053\n", + "10 865.676918 865.469184 0.353968\n", + "11 868.351641 868.218818 0.019770\n", + "12 870.673477 870.450766 0.049936\n", + "13 877.506073 877.190372 0.107545\n", + "14 878.315132 878.415755 0.010860\n", + "15 928.992470 928.787746 0.100538\n", + "16 930.292833 930.144420 0.027149\n", + "17 931.952035 931.457330 0.253547\n", + "18 932.873303 932.682713 0.040526\n", + "19 953.663253 953.470460 0.040455\n", + "20 954.947378 954.783370 0.027675\n", + "21 966.790025 966.599562 0.082489" ] }, - "execution_count": 10, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "model_neon.matched_peaks " + "model_neon.matched_peaks" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -366,7 +427,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -376,7 +437,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -421,35 +482,39 @@ " \n", " \n", " g00_p0\n", - " 2.178521\n", - " 0.022848\n", - " 520.454087\n", - " 0.095842\n", - " 4.068426\n", - " 0.141578\n", - " 1.52631\n", - " 0.065746\n", - " 0.385924\n", - " 0.057005\n", - " 6.556157\n", - " 0.092828\n", + " 2.174306\n", + " 0.022803\n", + " 520.45408\n", + " 0.095656\n", + " 4.060509\n", + " 0.1413\n", + " 1.526296\n", + " 0.065744\n", + " 0.385968\n", + " 0.057006\n", + " 6.543488\n", + " 0.092647\n", " 0.269447\n", " 0.001997\n", - " 519.939741\n", - " 0.030422\n", + " 519.940672\n", + " 0.030362\n", " \n", " \n", "\n", "" ], "text/plain": [ - " amplitude amplitude_stderr ... position position_stderr\n", - "g00_p0 2.178521 0.022848 ... 519.939741 0.030422\n", + " amplitude amplitude_stderr center center_stderr sigma \\\n", + "g00_p0 2.174306 0.022803 520.45408 0.095656 4.060509 \n", "\n", - "[1 rows x 16 columns]" + " sigma_stderr expon expon_stderr skew skew_stderr fwhm \\\n", + "g00_p0 0.1413 1.526296 0.065744 0.385968 0.057006 6.543488 \n", + "\n", + " fwhm_stderr height height_stderr position position_stderr \n", + "g00_p0 0.092647 0.269447 0.001997 519.940672 0.030362 " ] }, - "execution_count": 13, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -465,7 +530,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -474,12 +539,12 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 13, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -504,12 +569,12 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 14, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -562,7 +627,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -594,7 +659,9 @@ " fit_peaks_kw=fit_peaks_kw,\n", " should_fit=fit_neon_peaks,\n", " name=\"Neon calibration\",\n", - " match_method=\"cluster\"\n", + " match_method=\"cluster\",\n", + " interpolator_method=\"cubic_spline\",\n", + " extrapolate=False\n", " )\n", " # now derive_model_curve finds peaks, fits peaks, matches peaks and derives the calibration curve\n", " # and model_neon.process() could be applied to Si or other spectra\n", @@ -605,14 +672,14 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Neon calibration spe (cm-1) reference (nm) model (nm) Calibration curve 23 points) thin_plate_spline\n" + "Neon calibration spe (cm-1) reference (nm) model (nm) Calibration curve 22 points) (PchipInterpolator)\n" ] } ], @@ -631,7 +698,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -761,13 +828,13 @@ "[98 rows x 4 columns]" ] }, - "execution_count": 19, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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uyY3bWe7k4eFBUFAQJUuWpE6dOrz55pssWrSIZcuWMW3aNMt2EydOpEaNGnh7exMSEsILL7xAYmIiYH5fDhw4kPj4eMsVaWPGjAGy/1676Wancbly5RgzZgwVK1bk559/BuDUqVN07twZHx8f/Pz86NmzJ+fPn7f87M3bSG8aMGAAXbp04dNPPyU4OJiiRYsybNgwUlNTAfOVdCdPnmTkyJGW+gFOnjxJp06dKFKkCN7e3jz66KMsXbr0YeIWEREH4ONjfjwV+Ds7qc1rfEJg4K31eYE62yTvuccfebcL5lxWNxURyZasfrbY6jPIxcWFf/3rX3z11VecuUuv39GjR2nXrh3dunVj9+7dzJkzh40bNzJ8+HDLNgMGDGDbtm38/PPPREVFYTKZ6Nixo+UPXDB3Yn366afMmDGD9evXc+rUKV599dX71vjaa6/x2WefsXXrVh555BE6depkaTcrtaWmpjJ27Fh27drFwoULOXHiBAMGDDDc15UrV2jTpg0ZGRmsWrWKwoUL8+WXX/Lzzz/z008/cejQIX788UdCQ0OzkO7dVatWDX9/f8vjbp13e/bswcfHBw8PD4YOHcqCBQuoVq0aAH379uV///sfa9asYfTo0cyYMYNnnnnmoeqSvKFQoUI51lbLli2pVasW82+7X93Z2Zkvv/ySffv2MX36dFavXs3rr78OQKNGjZg0aRJ+fn6W25dvvo+z8167Fy8vL1JSUsjIyKBz587ExcWxbt06Vq1axbFjx+jVq5fVz9yeyZo1azh69Chr1qxh+vTpTJs2zdKZOH/+fEqVKsUHH3xgqR9g2LBhJCcns379evbs2cPHH3+MT175K+weHnvsMXuX4JCUizHlYk2ZGMtLuTiTztuMZSNNKM8xBvEd7tz7S84HVatWLZu0q9lIJe8JDs7SZucIzuqmIiLZktXPFlt+Bj399NPUrl2b9957j++++87q+XHjxtGvXz9GjBgBQMWKFfnyyy954oknmDJlCqdPn+bnn3/mt99+o1GjRoD5iquQkBCWLFlC//79AfMf4lOnTqV8+fIADB8+nA8++OC+9b333nu0adMGgOnTp1OqVCkWLFhAz54971ubp6cnf/vb3yxtlStXji+//JL69euTmJiY6Y/p2NhYevXqRcWKFZk5cybu7u6A+cqaihUr0qRJE5ycnChTpkw2E7a2f/9+SpYsaVn28PAw3K5y5crs3LmT+Ph45s6dy3PPPce6deuoVq0azz//vGW7GjVqEBwcTKtWrTh69KglY3E8N69iu/1qttv//QDDsT20KlWqsHv3bsvyzfcTmMc3+/DDDxk6dCjffPMN7u7u+Pv74+TkRFBQUKZ2svpeu5v09HRmzZrF7t27ef7554mMjGTPnj0cP36ckJAQAH744QceffRRtm7dSv369Q3bKVKkCF9//TUuLi5UqVKFJ598ksjISIYMGUJAQAAuLi6Wq+9uOnXqFN26daNGjRqW+kVEJI87eZKUsGdwidoIwEz68ALfcPq8h13+f/ugdGWb5D1Nm2IqVYoMjAcCz8CJU4RwolRTmjbN5dpEpEBo2hRKlTLfSmbEyQlCQrD5Z9DHH3/M9OnTOXDggNVzu3btYtq0afj4+Fge4eHhZGRkcPz4cQ4cOICrqysNGza0/EzRokWpXLkyhw8ftqwrVKhQpk6g4ODgLN1idvttkwEBAVSuXNlS5/1qA4iOjqZTp06ULl0aX19fnnjiCcD8x/Xt2rRpQ4UKFZgzZ46low3MV+3t3LmTypUr89JLL7Fy5cr71nw/vr6+lllG/fz87trZ5u7uToUKFahbty7jxo2jVq1afPHFF4bb3sz/jz/+eOj6xHZu3rYSGHhrXXZvZ8np24VNJlOmSVF+/fVXWrVqRcmSJfH19eXZZ5/l0qVL991vVt9rd/rmm2/w8fHBy8uLIUOGMHLkSP7xj39w4MABQkJCLB1tYL4qtHDhwlafVbfX9uijj+Li4mJZzspnzUsvvcSHH35I48aNee+99zJ1PuZlO3bssHcJDkm5GFMu1pSJsTyRy+zZUKuWuaPN15cb/5lBP2YST2G8vbE8ctKuXbtytsG/qLNN8h4XF5y++AInsOpwu7k8kklM/MKF235nExHJMS4ucLPv5M4Ot5vLkyZh88+gZs2aER4ezujRo62eS0xM5O9//zs7d+60PHbt2sWRI0eydQWVm5tbpmUnJydMRjNDZMP9aktKSiI8PBw/Pz9+/PFHtm7dyoIFCwBISUnJ1NaTTz7J+vXr2b9/f6b1derU4fjx44wdO5br16/Ts2dPunfv/lB1P6iMjIy7ju+2c+dOwNyxIJIdBw4coGzZsgCcOHGCjh07UrNmTebNm0d0dDSTJ08GrN8zt8vOe+1O/fr1Y+fOnRw/fpykpCQmTpyIs/OD/2lh9FlzvxlXBw8ezLFjx3j22WfZs2cP9erV46uvvnrgGkRExE6uXoUBA6BPH4iPh7Aw2LmT9N55d6gN3UYqeVPXrjjNm8uNIS/hFRdjWX2GUnxYdBL9/t2Vrl3tWJ+I5Htdu8LcufDSSxBz62OIUqXMHW259Rk0fvx4ateuTeXKlTOtr1OnDvv376dChQqGP1e1alXS0tLYvHmz5TbSS5cucejQoUy3oz2o33//ndKlSwPmiRgOHz5M1apVs1Tbnj17uHTpEuPHj7dcHbNt2zbDbcePH4+Pjw+tWrVi7dq1lrHRAPz8/OjVqxe9evWie/futGvXjri4OAICAh769d3N6NGjad++PaVLl+bq1avMnDmTtWvXsmLFCo4ePcrMmTPp0KEDRYsWZffu3YwcOZJmzZpRs2ZNm9UkD++veQZISrp1ddv589n7dr1w4cI5Vs/q1avZs2cPI0eOBMxXp2VkZPDZZ59ZOrx++umnTD/j7u5O+h1TJB88eDDL77U7+fv7G76Hq1atyunTpzl9+rSlzf3793PlypVM70/IXiZG9QOEhIQwdOhQhg4dyujRo/n222958cUXs9yuI+rUqZO9S3BIysWYcrGmTIw5bC5btkDfvnD0KDg7w9tvwzvvgKsr3pgnHrOl9u3b26RdXdkmeVfXrngdv3UlQzuWsu+X40w5r442EckdXbvC7RdULV0Kx4/nXkcbmMf96tevH19++WWm9f/85z/ZtGkTw4cPZ+fOnRw5coRFixZZJiGoWLEinTt3ZsiQIWzcuJFdu3bxzDPPULJkSTp06PDQdX3wwQdERkayd+9eBgwYQLFixejSpUuWaitdujTu7u589dVXHDt2jJ9//pmxY8fedV+ffvop/fr1o2XLlhw8eBAwz8w4a9YsDh48yOHDh4mIiCAoKChHOzyMXLhwgf79+1O5cmVatWrF1q1bWbFiBW3atMHd3Z1ff/2Vtm3bUqVKFV555RW6devGL7/8YtOa5OEZ3bqS3dtZkh5w+tLk5GRiY2OJiYlh+/bt/Otf/6Jz58507NjRMrZihQoVSE1NtbxnZsyYwdSpUzO1ExoaSmJiIpGRkVy8eJFr165l+72WFa1bt7Z8Lm3fvp0tW7bQv39/nnjiCerVq5dp2+xkEhoayvr164mJieHixYuAeZy6FStWcPz4cbZv386aNWssnfp5WVRUlL1LcEjKxZhysaZMjDlcLhkZMH48NG5s7mgrXRrWrYP33wfX3LsubMuWLTZpV51tkrfddo/WBprRrIVuHRWR3OXnZ/7GzWSC9u1tf+uokQ8++MDqdquaNWuybt06Dh8+TNOmTXnsscd49913KVGihGWb//73v9StW5eOHTsSFhaGyWRi8eLFVrdzPYjx48fz8ssvU7duXWJjY/nll18sY6rdr7ZHHnmEadOmERERQbVq1Rg/fjyffvrpPff3+eef07NnT1q2bMnhw4fx9fVlwoQJ1KtXj/r163PixAmWLl36ULe5ZcV3333HiRMnSE5O5sKFC/z666+WiSJCQkJYt24dly5d4saNGxw5coQJEybg5+dn05rEMdw+y292LF++nODgYEJDQ2nXrh1r1qzhyy+/ZNGiRZYxzmrVqsXEiRP5+OOPqV69Oj/++KPVbLmNGjVi6NCh9OrVi0ceeYQJEyY80HvtfpycnFi0aBFFihShWbNmtG7dmnLlyjFnzhyrbbOTyQcffMCJEycoX748jzzyCGCenGHYsGFUrVqVdu3aUalSJb755puHqt8R3OxMlMyUizHlYk2ZGHOoXM6ehTZtYPRoSEuDHj1g505o0iTXS7l06ZJN2nUyPezAK3nEmTNnCAkJ4fTp05QqVcre5VhJTU1l6dKldOjQIUf+yCkwkpIsIxN7k8iFRG+bzVCiY+T4dIwcnyMdoxs3bnD8+HHKli2Lp6enXWtxJBkZGSQkJODn5/dAHVNr166lRYsWXL582eZXkeWke50Pjv47hEBCQgL+/v7Ex8dbdV46yns9Pj4ef39/u+3fESmTW24/T9euXUu7du3sXZLDWb58uXIxoFysKRNjDpPLL7/AwIFw6ZL58vCvvjKP13a3mcdsbN68eXTv3t3wd4iHoTHbRERERERszNfX194lOBxlYqx58+b2LsEhKRdjysWaMjFm91xu3IDXXoOvvzYv16kDs2ZBpUp2Latp06Y2aVe3kYqIiIiI2Njly5ftXYLDUSbGbs4IK5kpF2PKxZoyMWbXXPbvhwYNbnW0vfIKbNpk9442wGZj5+rKNhEREckxzZs3p4CMUCEiIiIi92IywbffwogRcP06FC8OP/wA4eH2rszm1NkmIiIiImJjhQoVsncJDkeZGKtRo4a9S3BIysWYcrGmTIzlei6XL8Pzz8Pcuebl8HCYPh0CA3O3jvt49NFHbdKubiMVEZECTVdhCeg8ENtzstPAz45MmRjTpD3GlIsx5WJNmRjL1Vw2bYLatc0dbW5u8OmnsHSpw3W0AXh4eNikXXW2iYhIgXRzNtRr167ZuRJxBDfPA3vPkiv5V1JSkr1LcDjKxNjWrVvtXYJDUi7GlIs1ZWIsV3JJT4ePPoJmzeDUKShf3tzx9sor8ACz3OeG7du326Rd3UYqIiIFkouLC4ULF+bChQuA+XYmXWUBGRkZpKSkcOPGDZwd9JeinGQymbh27RoXLlygcOHCuLi42LskERERkbzn7Fl45hlYs8a83K8ffPMN+PnZty47UWebiIgUWEFBQQCWDjcxdz5dv34dLy+vAtX5WLhwYcv5IGIL/v7+9i7B4SgTYx06dLB3CQ5JuRhTLtaUiTGb5rJkCQwYABcvgrc3TJ4Mzz1nu/3loLZt29qkXXW2iYhIgeXk5ERwcDDFixcnNTXV3uU4hNTUVNavX0+zZs0KzC2Vbm5uuqJNbO7atWv4FdBv9+9GmRjbvn07LVq0sHcZDke5GFMu1pSJMZvkkpICo0fDxInm5dq1YfZsqFw5Z/djQ7t27bJJu+psExGRAs/FxUWdLX9xcXEhLS0NT0/PAtPZJpIb7NmhP23aNEaMGMGVK1cAGDNmDAsXLmTnzp0ADBgwgCtXrrBw4cJcqyk0NJQhQ4bw1ltv5do+84rY2Fh7l+CQlIsx5WJNmRjL8Vz++AN694boaPPySy/BhAlgowkHbOX8+fM2aTf/D8YiIiIiImJnD9qhHxsby4svvki5cuXw8PAgJCSETp06ERkZ+cC1vPrqqw/189kxbdo0ChcubLV+69atDBw4MFdqyGt8fX3tXYJDUi7GlIs1ZWIsR3OZNQvq1DF3tAUEwKJF8MUXea6jDWx3vujKNhERERERG3uQ8clOnDhB48aNKVy4MJ988gk1atQgNTWVFStWMGzYMA4ePPhAtfj4+ODj4/NAP3tTSkoK7u7uD/zzjzzyCCaT6aFqsIfU1FSbX/Xbrl07m7afVykXY8rFmjIxliO5JCWZr2D7/nvzctOmMHMmlCr18G3bSevWrW3Srq5sExEREZGCxWQy/8GQi4+406fN/85GB9MLL7yAk5MTW7ZsoVu3blSqVIlHH32UUaNG8fvvv1u2mzhxIjVq1MDb25uQkBBeeOEFEhMT79rumDFjqF27ttX6999/n0ceeQQ/Pz+GDh1KSkqK5bnmzZszfPhwRowYQbFixQgPD7/vvteuXcvAgQOJj4/HyckJJycnxowZA5hvI/3Xv/5laf/UqVN07twZHx8f/Pz86NmzZ6Zbe27WPGPGDEJDQ/H396d3795cvXr1nhn+9ttvNG/enEKFClGkSBHCw8O5fPmypYZJkyZl2r527dqWGsE8tueUKVN46qmn8Pb2ZuzYsZQqVYopU6Zk+rkdO3bg7OzMyZMnAbhy5QqDBw+25NmyZcssjwsUERGRpe0KGuViTLlYUybGsptLUhI4OZkfSUnAnj1Qv765o83JCd59F1avztMdbQALFiywSbvqbBMRERGRguXaNfDxydVH0TJlzP++di1LJcbFxbF8+XKGDRuGt7e31fO335rp7OzMl19+yb59+5g+fTqrV6/m9ddfz1YkkZGRHDhwgLVr1zJr1izmz5/P+++/n2mb6dOn4+7uzm+//cbUqVPvu+9GjRoxadIk/Pz8OHfuHOfOnePVV1+12ndGRgadO3cmLi6OdevWsWrVKo4dO0avXr0ybXf06FEWLlzI4sWLWbx4MevWrWP8+PF3fU07d+6kVatWVKtWjaioKDZu3EinTp1IT0/PVjZjxozh6aefZs+ePQwePJg+ffowc+bMTNv8+OOPNG7cmDJlygDQo0cPLly4wLJly4iOjqZOnTq0atWKuLi4bO1bRMT+TLh+93/QoAEcOAAlSpg72d5/H1x1s+TdKBkREREREQfzxx9/YDKZqFKlyn23HTFihOXfoaGhfPjhhwwdOpRvvvkmy/tzd3fn+++/p1ChQjz66KN88MEHvPbaa4wdOxZnZ/P38xUrVmTChAlZ3re7uzv+/v44OTkRFBRktc+bt2NGRkayZ88ejh8/TkhICAA//PADjz76KFu3bqV+/fqAuVNu2rRplvF1nn32WSIjI/noo48MX9OECROoV69ephweffTRLGdyU9++fTONL9evXz8+++wzTp06RenSpcnIyGD27Nm8/fbbAGzcuJEtW7Zw4cIFPP4av+jTTz9l4cKFzJ07l+eff/6e+6tWrVq2aywIlIsx5WJNmRjLai5JSbf+60c83zIEj5fNV8WltW2P6/+mwyOP2KrMXJeV/88+CHW2iYiIiEjBUqgQ3OM2S1tITk42d7wUKpSl7bMzntmvv/7KuHHjOHjwIAkJCaSlpXHjxg2uXbtGoSzur1atWpm2DQsLIzExkdOnT1uu1qpbt26O7vtmJ96BAwcICQmxdLSB+Y/CwoULc+DAAUtnW2hoaKaBrIODg7lw4cJd29+5cyc9evTIwqu/t3r16mVarl27NlWrVmXmzJm88cYbrFu3jgsXLlj2tWvXLhITEylatGimn7t+/TpHjx697/4eZHy/gkC5GFMu1pSJsfvlkpRkvgD7pnpsZQe9KMdxUnHlDcbz+cqRZDySv26Q9PPzs0m7+SslEREREZH7cXICb+9cfSSaTOZ/OzllqcSKFSvi5OR030kQTpw4QceOHalZsybz5s0jOjqayZMnA2Qacy0n3Hk768PuOzk5OVv7v3NiAicnJzIyMu66vZeX1z3bc3Z2turUTE1NtdrO6Dbefv36WW4lnTlzJu3atbN0riUmJhIcHMzOnTszPQ4dOsRrr712z5oAoqKi7rtNQaRcjCkXa8rEWNZzMTGSifxGY8pxnOOE0oSNTOQVTPmwC2nLli02aTf/JSUiIiIikscFBAQQHh7O5MmTSbp5T89trly5AkB0dDQZGRl89tlnPP7441SqVImzZ89me3+7du3i+vXrluXff/8dHx+fTFeb3Skr+3Z3d7/vGGlVq1bl9OnTnD592rJu//79XLly5aFuB6tZsyaRkZF3ff6RRx7h3LlzluWEhASOHz+epbb79u3L3r17iY6OZu7cufTr18/yXJ06dYiNjcXV1ZUKFSpkehQrVuyBX4+IiC3cPp9PUS7yC52YyCu4k0oE3XmMHfxyviGJibl+UXieps42EREREREbe5DbmiZPnkx6ejoNGjRg3rx5HDlyhAMHDvDll18SFhYGQIUKFUhNTeWrr77i2LFjzJgxwzJ5QXakpKQwaNAg9u/fz9KlS3nvvfcYPny45VZPI1nZd2hoKImJiURGRnLx4kWu3TZBhKenJwCtW7emRo0a9OvXj+3bt7Nlyxb69+/PE088YXULZ3aMHj2arVu38sILL7B7924OHjzIlClTuHjxIgAtW7ZkxowZbNiwgT179vDcc8/h4uKSpbZDQ0Np1KgRgwYNIj09naeeesryXOvWrQkLC6NLly6sXLmSEydOsGnTJt566y22bdt237bbtm37YC84n1MuxpSLNWVi7G653JzLp1vgBnZSm44s4QYeDGUKPfmJeApnulg7v2nVqpVN2lVnm4iIiIiIjd1+1VhWlStXju3bt9OiRQteeeUVqlevTps2bYiMjGTKlCmAeay1iRMn8vHHH1O9enV+/PFHxo0bl+19tWrViooVK9KsWTN69erFU089xZgxY+75M1nZd6NGjRg6dCi9evXikUceyTTBws1bNp2cnFi0aBFFihShWbNmtG7dmnLlyjFnzpxsv47bVapUiZUrV7Jr1y4aNGhAWFgYixYtwvWv2fNGjx7NE088QceOHXnyySfp0qUL5cuXz3L7/fr1Y9euXTz99NOZbll1cnJi6dKlNGvWjIEDB1KpUiV69+7NyZMnCQwMvG+7+/fvz/6LLQCUizHlYk2ZGLtbLs6k8xYfspbmlCKGQ1SiIZv5P4YCWRv6IC+733AND8rJlJ3RV/OwM2fOEBISwunTpylVqpS9y7GSmprK0qVL6dChg9V4FHIPt43i6E0iFxK9bdbbrmPk+HSMHJ+OkePTMbLm6L9DiPn2P39/f+Lj460GOr5x4wbHjx+nbNmyliup7OHSpUtWA+YXdMrkltvP0wULFtCnTx97l+RwZs2apVwMKBdrysSYYS6nT5Pe5xlcflsPwHT6M4zJHDvvY/m7Oj9ezXa77777jsGDBxv+DvEwdGWbiIiIiIiNZfX2xIJEmRjL6gyyBY1yMaZcrCkTY1a5zJ0LNWuaO9p8fEj+93QGMJ0kfPL1baN3stX5os42EREREXlgV69eZcSIEZQpUwYvLy8aNWrE1q1bLc8PGDAAJyenTI927dplaiMuLo5+/frh5+dH4cKFGTRoEIn5bBTmwoUL27sEh6NMjHXu3NneJTgk5WJMuVhTJsYsuSQmwqBB0KMHXLkCDRrAjh2k9e1v1/rs5cknn7RJu+psExEREZEHNnjwYFatWsWMGTPYs2cPbdu2pXXr1sTExFi2adeuHefOnbM8Zs2alamNfv36sW/fPlatWsXixYtZv349zz//fG6/FJu6dOmSvUtwOMrE2J3vDzFTLsaUizVlYmzWrFmweTPUqQPffw9OTvDWW7BxI1SogLc3mEzmR0G4ou2miIgIm7TrapNWRURERCTfu379OvPmzWPRokU0a9YMgDFjxvDLL78wZcoUPvzwQwA8PDwICgoybOPAgQMsX76crVu3Wmae/Oqrr+jQoQOffvopJUqUyJ0XIyIikl+lpVF97lxYtAjS06FUKfjf/+CJJ+xdWb6lK9tERERE5IGkpaWRnp5uNfGAl5cXGzdutCyvXbuW4sWLU7lyZf7xj39kuqIpKiqKwoULWzraAFq3bo2zszObN2823G9ycjIJCQmZHvdj7znB7Dk5g6NSJrfcfn5WqlTJjpU4LuViTLlYUyZ3OHIEGjemxvz55o62Pn1g9251tP2lQoUKNmn3ga5smzx5Mp988gmxsbHUqlWLr776igYNGtx1+4iICN555x1OnDhBxYoV+fjjj+nQoYPl+fnz5zN16lSio6OJi4tjx44d1K5d2/J8XFwc7733HitXruTUqVM88sgjdOnShbFjx+Lv7/8gL0FEREREHpKvry9hYWGMHTuWqlWrEhgYyKxZs4iKirL88tquXTu6du1K2bJlOXr0KG+++Sbt27cnKioKFxcXYmNjKV68eKZ2XV1dCQgIIDY21nC/48aN4/3337daHxERQaFChejatSuRkZHEx8dTvHhxgoKCuHDhAj4+Pnh7e2Mymbh27RpgHjcsMTGRtLQ0XF1d8fX15fLly4B50GQnJyeSkpIs2yYlJZGamoqLiwt+fn6Wbb28vHBxcbGMNefv78/169dJSUnBxcUFLy8vSyejp6cnrq6ulm39/PxITk4mOTkZZ2dnihQpQlxcHCaTCU9PT9zc3Lh69aol85SUFJKTk3FyciIgIIDLly+TkZGBh4cHHh4els5HX19fUlNTuXHjBgBFixblypUrpKen4+7ujpeXF/Hx8QD4+PiQnp7O9evXAQgICCA+Pp709HTc3NwoVKiQZds7MyxSpAhXr14lLS0NNzc3vL29uXLliiVDIFPeNzN0cnLCy8vrrnn7+/tz7do1S97+/v7ExcVlKe/ChQtnyvv2DO+Vt4eHB+7u7pnyvpnh/fL28fEhLS3NkvftGd4v74yMDJKSkli4cCGenp5UrFiRJUuWAFC3bl1SU1PZvXs3AF26dGH9+vXExcVRtGhRmjRpwqJFiwCoXbs2zs7ObN++HYCOHTuyZcsWLly4gL+/P61atWL+/PkAVK9enUKFCrFlyxYA2rdvz65duzh79iw+Pj506NCBn376CYAqVaoQEBDApk2bAGjTpg0HDx7k9OnTeHl50aVLF2bPno3JZKJixYoEBQWxYcMGAFq0aMGJEyc4fvw4bm5udO/enblz55KamkrZsmUJDQ1lzZo1ADRt2pTY2FiOHDmCk5MTvXv3ZuHChVy/fh0/Pz8uXrzIqlWrAGjUqBFxcXEcPHgQgJ49e7J06VISExMpUaIEtWrVYtmyZQA0aNCAa9eusXfvXgCrz4gGDRqwePFiAOrUqUNGRgY7d+4EzONcbdy4kUuXLhEQEECzZs1YuHAhADVr1sTNzY3o6GjAPPbTtm3bOH/+PH5+frRt25a5c+cC8Oijj+Lj42P5EiE8PJy9e/cSExODt7c3HTt2ZM6cOQBUrlyZYsWK8dtvvwHmLyAOHz7MqVOn8PDwoGvXrsyZM4eMjAwCAgKIiYlh/XrzbJLNmzfn1KlTHDt2DFdXV3r06MG8efNISUmhTJkylC9fntWrVwPQpEkTLly4wOHDhwHo06cPixYt4tq1a5QqVYpq1aqxcuVKAMLCwoiPj2f//v0A9OjRg+XLl3P16lWCgoKoU6cOS5cuBaB+/frcuHGDPXv2APD000+zdu1aLl++TLFixQgLC+OXX34B4LHHHgNgx44dAHTq1ImoqCguXrxIkSJFaN68OQsWLACgRo0aeHp6WsYF7dChA9u3byc2NhZfX1/atWtHREQE169fx9XVFX9/f6KiogBo27Yt+/fv58yZMxQqVIjOnTtbbjetVKkSxYsXt3xJ1LJlS44ePcrJkydxd3enW7duREREkJaWRrly5ShdujRr164FoFmzZsTExHD06FGcnZ3p1asX8+fPJzk5mdKlS1OpUiV+/fVXABo3bszFixc5dOgQAL169WLx4sUkJSVRsmRJqlevzooVKwBo2LAhiYmJ7Nu3D4Du3buzcuVKEhISCAwMpF69evf/jLh0iVqbN1P1P//B6do1kr28uPjBByR26sT25cvz3WdESEgIVapUyfZnxM3/r+Q0J1M2v+abM2cO/fv3Z+rUqTRs2JBJkyYRERHBoUOHrH5RAti0aRPNmjVj3LhxdOzYkZkzZ/Lxxx+zfft2qlevDsCMGTM4fvw4JUqUYMiQIVadbXv37uW9995jwIABVKtWjZMnTzJ06FBq1qxp+fC6nzNnzhASEsLp06cpVapUdl5yrkhNTWXp0qV06NABNzc3e5eTdyQlgY8PAN4kciHR22b3l+sYOT4dI8enY+T4dIysOfrvEPZ29OhR/va3v7F+/XpcXFyoU6cOlSpVIjo6mgMHDlhtf+zYMcqXL8+vv/5Kq1at+Ne//sX06dMtf3zcVLx4cd5//33+8Y9/WLVxs6PkpoSEBEJCQoiPj8fPz89q+3PnznHlyhWKFy9u6dDJbZcvX6ZIkSK5vl9HpkywdFpeuHCBwoULExwczKxZs+jTp4+9S3M4ysWYcrGmTICzZ82TIPzVqUaLFizq2pXOw4fbty4H9N133zF48OC7/g7xoLJ9ZdvEiRMZMmQIAwcOBGDq1KksWbKE77//njfeeMNq+y+++IJ27drx2muvATB27FhWrVrF119/zdSpUwF49tlnAThx4oThPqtXr868efMsy+XLl+ejjz7imWeesXwLKSIiIiK5r3z58qxbt46kpCQSEhIIDg6mV69elCtXznD7cuXKUaxYMf744w9atWpluersdmlpacTFxd11nLebVxRl1c127txPbkpKSrJc7SVmyuSWwoUL3/V8FxHJljlz4B//gMuXwcMDxo2Dl1/m2l9XTkruyFYvVUpKCtHR0YwePdqyztnZmdatW1suz7xTVFQUo0aNyrQuPDzccuntg7rZ63i3jrY7v/G8eSl4WloaqampD7VvW7hZkyPW5tBSU3HLtJiKrSLUMXJ8OkaOT8fI8ekYWUtLS7N3CXmCt7c33t7eXL58mRUrVjBhwgTD7c6cOcOlS5cIDg4GzLcmXblyhejoaOrWrQvA6tWrycjIoGHDhjlSm5OTE8HBwRQvXtxu5/bFixcpVqyYXfbtqJSJmZubGy4uLpblli1b2rEax6VcjCkXawU2k7g4GDYMZs82L9etCz/8ANWqAQU4l/t4wkZj12Wrs+3ixYukp6cTGBiYaX1gYKDlPtg7xcbGGm5/tzE4slrH2LFj7zkl/N3G8oiMjHTo/6nfvL9Yssblxg063ra8YsUKPD3TbbpPHSPHp2Pk+HSMHJ+O0S0XL160dwkObcWKFZhMJipXrswff/zBa6+9RpUqVRg4cCCJiYm8//77dOvWjaCgII4ePcrrr79OhQoVCA8PB6Bq1aq0a9eOIUOGMHXqVFJTUxk+fDi9e/fO8ZlIXVxcMnVq5KZTp07pNuQ7KBNjR48etfr7SZTL3SgXawUyk6VLYfBgOHcOXFzg7bfhrbfgtiFBCmQuWXD8+HGbtJvn7r9MSEjgySefpFq1aowZM+au240ePTrTFXUxMTFUq1aNVq1aUbJkyVyoNHtSU1NZtWoVbdq00Rg52fHXALo3hYeH5/yYbenpOG3cSPqZM2w9c4Y6L7+Mm2bPckh6Hzk+HSPHp2NkLSYmxt4lOLT4+HhGjx7NmTNnCAgIoFu3bnz00Ue4ubmRlpbG7t27mT59OleuXKFEiRK0bduWsWPHZroN9Mcff2T48OG0atUKZ2dnunXrxpdffmnHV5XzTp48SaNGjexdhkNRJsaUizHlYky5WCtQmVy9CqNGwX/+Y16uXBlmzID69a02LVC5ZMOpU6ds0m62OtuKFSuGi4sL58+fz7T+/Pnzdx1jICgoKFvb38vVq1dp164dvr6+LFiw4J5/BNw5lsfNWYJcXV0d+o8HNzc3h67P4dyRlTm/HGx//nx4+WU4cwZXoAlgmjoVpy+/hK5dc3BHkpP0PnJ8OkaOT8foFo0Ne289e/akZ8+ehs95eXlZZla7l4CAAGbOnJnTpTkUd3d3e5fgcJSJMeViTLkYUy7WCkwma9fCwIFw4gQ4OcGIEfDRR+DlZbh5gcklm2yVi3N2i6hbty6RkZGWdRkZGURGRhIWFmb4M2FhYZm2B/OtKXfb/m4SEhJo27Yt7u7u/Pzzz3jqyiKxtfnzoXt3OHMm8/qzZ83r/5oSWUREROR+unXrZu8SHI4yMaZcjCkXY8rFWr7P5Pp1GDkSWrQwd7SFhsKaNTBx4l072qAA5PKAOnfubJN2s9XZBjBq1Ci+/fZbpk+fzoEDB/jHP/5BUlKSZXbS/v37Z5pA4eWXX2b58uV89tlnHDx4kDFjxrBt2zaG3zblbFxcHDt37mT//v0AHDp0iJ07d1rGdbvZ0ZaUlMR3331HQkICsbGxxMbGkp5u2/G5pIBKTzdf0WYyWT3ldHPdiBHm7URERETuIyIiwt4lOBxlYky5GFMuxpSLtXydydatUKcOTJpkXh4yBHbvhiwM8p+vc3kICxYssEm72b4volevXvz555+8++67xMbGUrt2bZYvX24ZaO/UqVM4O9/qw2vUqBEzZ87k7bff5s0336RixYosXLiQ6tWrW7b5+eefLZ11AL179wbgvffeY8yYMWzfvp3NmzcDUKFChUz1HD9+nNDQ0Oy+DJF727DB+oq225lMcPq0ebvmzXOtLBEREcmbNKutNWViTLkYUy7GlIu1fJlJaiqMHQv/+pf5go/gYPM4bR06ZLmJfJlLDrBVLg80CMnw4cMzXZl2u7Vr11qt69GjBz169LhrewMGDGDAgAF3fb558+aYDK4wErGZc+dydjsREREp0MqVK2fvEhyOMjGmXIwpF2PKxVq+y2TfPujfH7ZvNy/37g2TJ0NAQLaayXe55JCyZcvapN1s30YqUiAEB+fsdiIiIlKglS5d2t4lOBxlYky5GFMuxpSLtXyTSUaGeRy2unXNHW0BATBnDsyale2ONshHueSwUqVK2aRddbaJGGnaFEqVMs/qYsTJCUJCzNuJiIj8ZcqUKdSsWRM/Pz/8/PwICwtj2bJlludv3LjBsGHDKFq0KD4+PnTr1s1q1nbJn4zu/ijolIkx5WJMuRhTLtbyRSYnT0KrVvDKK5CcbL5ddO9euMvs31mRL3KxgQ0bNtikXXW2iRhxcYEvvjD/+44ON9PN5UmTzNuJiIj8pVSpUowfP57o6Gi2bdtGy5Yt6dy5M/v27QNg5MiR/PLLL0RERLBu3TrOnj1L165d7Vy1iIiIOASTCaZPh5o1Ye1a8PaG//s/WLxYd1XlMQ80ZpuIo0hPB5c7lnNM164wdy689BLExNxaX7KkuSNOfxyJiMgdOnXqlGn5o48+YsqUKfz++++UKlWK7777jpkzZ9KyZUsA/vvf/1K1alV+//13Hn/8cXuULLmkWbNm9i7B4SgTY8rFmHIxplys5dlMLl2Cv/8d5s0zLzdqZO54u2OSyAeVZ3OxscaNG9ukXV3ZJnnW/PlQtWrmddWqmdfnmK5dYf9+y2LUO++QduSIOtpERAqgq1evkpCQYHkkJyffc/v09HRmz55NUlISYWFhREdHk5qaSuvWrS3bVKlShdKlSxMVFWXr8sXOYm7/4k4AZXI3ysWYcjGmXKzlyUxWrTJfzTZvHri6wkcfwfr1OdbRBnk0l1xw9uxZm7SrzjbJk+bPh+7dIeaO98XZs+b1OdrhdtutopcefVS3joqIFFDVqlXD39/f8hg3bpzhdnv27MHHxwcPDw+GDh3KggULqFatGrGxsbi7u1O4cOFM2wcGBhIbG5sLr0Ds6ejRo/YuweEoE2PKxZhyMaZcrOWpTG7cgJEjoW1b8x+zlSvD77/Dm2/m+N+deSqXXHT8+HGbtKvbSCXPSU+Hl182385+J5PJPMTaiBHQubP6xUREJOfs37+fkiVLWpY9PDwMt6tcuTI7d+4kPj6euXPn8txzz7Fu3brcKlMclLOzvuO+kzIxplyMKRdjysVanslk3z7o0wf27DEv/+Mf8OmnUKiQTXaXZ3LJZbbKRWlLnrNhA5w5c/fnTSY4fdq8nYiISE7x9fW1zDLq5+d31842d3d3KlSoQN26dRk3bhy1atXiiy++ICgoiJSUFK5cuZJp+/PnzxMUFJQLr0DsqVevXvYuweEoE2PKxZhyMaZcrDl8JiYTTJ0K9eqZO9oeeQR++QW++cZmHW2QB3Kxk27dutmkXXW2SZ5z7lzObpcnpKebZ6OZNcv83xydCUJERGwpIyOD5ORk6tati5ubG5GRkZbnDh06xKlTpwgLC7NjhZIb5ufoGBf5gzIxplyMKRdjysWaQ2cSFwfdupmvYrtxA8LDzR1uHTvafNcOnYsd/fzzzzZpV7eRSp6T1RmP883MyPPnm++bvf1yvlKlNCOqiIgDGj16NO3bt6d06dJcvXqVmTNnsnbtWlasWIG/vz+DBg1i1KhRBAQE4Ofnx4svvkhYWJhmIi0A7jehRkGkTIwpF2PKxZhyseawmWzYAH37mv+uc3OD8ePN4x/l0u2dDpuLndkqF3W2SZ7TtKm5rykmBjAYt83Jyfx806a5XlrOuzkTxJ0D1MXEmNfPnasONxERB3LhwgX69+/PuXPn8Pf3p2bNmqxYsYI2bdoA8Pnnn+Ps7Ey3bt1ITk4mPDycb775xs5VS24oXbq0vUtwOMrEmHIxplyMKRdrDpdJRoa5Y+2dd8z/rljRfMdS3bq5WobD5eIgQkJCbNKuOtskz3FxMV/U1b07ON3xnNNfKyZNygeTI2gmCBGRPOe777675/Oenp5MnjyZyZMn51JF4igqVapk7xIcjjIxplyMKRdjysWaQ2Xy55/w7LOwYoV5+dlnzWOz+fjkeikOlYsDqVChgk3a1Zhtkid17Wq+qOvOW0VLlsxHF3tpJggREZF849dff7V3CQ5HmRhTLsaUizHlYs1hMtm4ER57zNzR5uUF338PP/xgl442cKBcHMyaNWts0q6ubJM8q2tXaB0GlLi1bt8+8POzW0k5q0DOBCEiIiIiIpKHmUzwySfw5pvmu5WqVIGICKhe3d6VSS5SZ5vkaXfePZmv7qYscDNBiIiI5F+NGze2dwkOR5kYUy7GlIsx5WLNrpkkJMDAgeaxtwH69YOpU+12NdvtdK4Ys9UkVbqNVMRR3ZwJwunOken+4uQEISH5ZCYIERGR/O3ixYv2LsHhKBNjysWYcjGmXKzZLZMDB6BhQ3NHm5sbTJkCM2Y4REcb6Fy5m0uXLtmkXXW2idxHevqtf+/bF5Bp2aZuzgQB1h1u+WomCBERkfzv0KFD9i7B4SgTY8rFmHIxplys2SWTefOgQQM4eNA8kPiGDTB06N0vnLADnSvGjhw5YpN21dkmcg/z50PVqreWPxjbiAoVXC1XBdvczZkgSpTIvL5UqXw0E4SIiIiIiEgelJ4Oo0dD9+6QmAgtWsD27eYr3KRAU2ebyF3Mn2/+zIw5m3n92bPm9bna4bZ//63lpUvh+HF1tImIiOQhvXr1sncJDkeZGFMuxpSLMeViLdcySUiALl1g/Hjz8quvwsqVULx47uw/m3SuGOvWrZtN2lVnm4iB9HR4+WXzRDJ3MpnMlwKPGEHu3lJ6U7NmunVUREQkj1m8eLG9S3A4ysSYcjGmXIwpF2u5ksmxY9CoESxeDJ6e8OOP5hlIXR13DkqdK8aWL19uk3bV2SZiYMMGOHPm7s+bTHD6tHk7ERERkftJSkqydwkOR5kYUy7GlIsx5WItpzNJSjIPvebkZP43a9eax2fbtw+Cg2H9eujbN0f3aQs6V4zZKhd1tokYOHcuZ7cTERGRgq1kyZL2LsHhKBNjysWYcjGmXKzZMhPX/02DNm3g0iWoXx+2bTP/Nw/QuWKsxJ3jo+cQdbaJGAgOztntREREpGCrXr26vUtwOMrEmHIxplyMKRdrOZVJUtKtB8CrfILH0IGQlkZaz76wbp31RHYOTOeKsaq3z4iYg9TZJmKgaVPzhJ93m6nZyQlCQszbiYiIiNzPihUr7F2Cw1EmxpSLMeViTLlYy6lMfHzMj8BAEx/zOp/wOgAf8zpuP/0PvLxyZD+5ReeKscjISJu0q842EQMuLvDFF+Z/39nf5uRknjVh0iTNUyAiIiIiIpJfuZDGdwzidT4B4DUm8AYfY/1Xokhm6mwTuYuuXWHuXOtbRUuWNK/v2tU+dYmIiEje07BhQ3uX4HCUiTHlYky5GFMu1h4kk9snQbhwwbx8fGc8c+nO3/gv6TgzkO954dhrJCZCYqINCrcxnSvG6tWrZ5N21dkmcg9du0J09K3lN/65mSNH0tTRJiIiItmSmBf/MrMxZWJMuRhTLsaUi7WHzSQoMIMXfb7Hq3YlurCIG3jQlflMYyDlyoG3t/mR1+hcMabZSEXs5PZbRatWjdOtoyIiIpJt+/bts3cJDkeZGFMuxpSLMeViLTuZ3DkJwuNEsZmGfM8gArnAISrRml/5mc42qjb36FwxduDAAZu062qTVkVEREREREREHFBSknnyg5v8ucI0XuY5fgAgAV8+4F2+5CVScef8+bx5NZvYj65sExERERGxse7du9u7BIejTIwpF2PKxZhysZbdTOoQzXbqWDravmcglTjMZ7xKKu7ArVtH83KHm84VY126dLFJu+psExERERGxsZUrV9q7BIejTIwpF2PKxZhysXavTDLfNmri70xlm3sjynGcE5QhjE10PP89RxODOH8+10rOFTpXjK1evdom7eo2UhERERERG0tISLB3CQ5HmRhTLsaUizHlYu1emdy8ddSbRP7H3+nHTEiBn+nEc0znCkUyXcVmMuVS0blA54oxW+WiK9tERERERGwsMDDQ3iU4HGViTLkYUy7GlIu1+2VSg91spT79mEkaLrzKJ3RmEVcokksV2ofOFWPFixe3SbvqbBMRERERsbF69erZuwSHo0yMKRdjysWYcrF210xMJm5M/IZdHg2oykHOUJInWMfr518lMdGJxETzlWx5eVy2e9G5Yuyxxx6zSbvqbBMRERERsbElS5bYuwSHo0yMKRdjysWYcrFmmMnly9CtGx6jhuGUnExauyepzU420ThfTH6QFTpXjK1YscIm7aqzTURERERERETyp02boHZtWLAA3Nzg889JjviFSxSzd2WSj6mzTUREREQe2NWrVxkxYgRlypTBy8uLRo0asXXrVgBSU1P55z//SY0aNfD29qZEiRL079+fs2fPZmojNDQUJyenTI/x48fb4+XYTN26de1dgsNRJsaUizHlYky5WLNkkpYGH3wAzZrBqVNQoQJERcGIEXj7OGEy5e/bRu+kc8WYrW4j1WykIiIiIvLABg8ezN69e5kxYwYlSpTgf//7H61bt2b//v34+Piwfft23nnnHWrVqsXly5d5+eWXeeqpp9i2bVumdj744AOGDBliWfb19c3tl2JTqamp9i7B4SgTY8rFmHIxplyspaamwsmT8MwzsHGjeWW/fjBlCuSz/7dkh84VY7bKRVe2iUhm6emwdi3MmmX+b3q6vSsSEREHdf36debNm8eECRNo1qwZFSpUYMyYMVSoUIEpU6bg7+/PqlWr6NmzJ5UrV+bxxx/n66+/Jjo6mlOnTmVqy9fXl6CgIMvDO59darB79257l+BwlIkx5WJMuRhTLtYu//vfUKuWuaPN1xdmzID//a9Ad7SBzpW72bt3r03aVWebiNwyfz6EhkKLFtC3r/m/oaHm9SIiIndIS0sjPT0dT0/PTOu9vLzYePNqgjvEx8fj5ORE4cKFM60fP348RYsW5bHHHuOTTz4hLS3trvtNTk4mISEh00NERAq4hAQYOJAmX34J8fHQsCHs3Gm+wk0kl+k2UhExmz8func3D1xwu5gY8/q5c6FrV/vUJiIiDsnX15ewsDDGjh1L1apVCQwMZNasWURFRVGhQgWr7W/cuME///lP+vTpg5+fn2X9Sy+9RJ06dQgICGDTpk2MHj2ac+fOMXHiRMP9jhs3jvfff99qfUREBIUKFaJr165ERkYSHx9P8eLFadCgAYsXLwagTp06ZGRksHPnTgA6d+7Mxo0buXTpEgEBATRr1oyFCxcCULNmTdzc3IiOjgbgySefZNu2bZw/fx4/Pz/atm3L3LlzAXj00Ufx8fFh8+bNAISHh7N3715iYmLw9vbmqaeeYtasWQBUrlyZYsWK8dtvvwHQunVrDh8+zKlTp/Dw8KBr167MmTOHjIwMypcvT8mSJVm/fj0AzZs359SpUxw7dgxXV1d69OjBvHnzSElJoUyZMpQvX57Vq1cD0KRJEy5cuMDhw4cB6NOnD4sWLeLatWuUKlWKatWqsXLlSgDCwsKIj49n//79APTo0YPly5dz9epVgoKCqFOnDkuXLgWgfv363Lhxgz179gDw9NNPs3btWi5fvkyxYsUICwvjl19+AW6NhbNjxw4AOnXqRFRUFBcvXsTX15cbN26wYMECAGrUqIGnp6dlzL8OHTqwfft2YmNj8fX1pV27dkRERABQrVo1/P39iYqKAqBt27bs37+fM2fOUKhQITp37mzJu1KlShQvXtzSAdyyZUuOHj3KyZMncXd3p1u3bkRERJCWlka5cuUoXbo0a9euBaBZs2bExMRw9OhRnJ2d6dWrF/Pnzyc5OZnSpUtTqVIlfv31VwAaN27MxYsXOXToEAC9evVi8eLFJCUlUbJkSapXr26Z9a5hw4YkJiayb98+ALp3787KlStJSEigaNGiJCQkWGYOrFu3LqmpqZarUrp06cL69euJi4ujaNGiNGnShEWLFgFQu3ZtnJ2d2b59OwAdO3Zky5YtXLhwAX9/f1q1asX8v75ErV69OoUKFWLLli0AtG/fnl27dnH27Fl8fHzo0KEDP/30EwBVqlSxvD8B2rRpw8GDBzl9+jReXl506dKF2bNnYzKZqFixIkFBQWzYsAGAFi1acOLECY4fP46bmxvdu3dn7ty5pKamUrZsWUJDQ1mzZg0ATZs2JTY2liNHjuDk5ETv3r1ZuHAh169fJzg4mIsXL7Jq1SoAGjVqRFxcHAcPHgSgZ8+eLF26lMTEREqUKEGtWrVYtmwZAA0aNODatWuWK1gc8TOiY8eOzJkzB8jeZ0Tp0qWJiYnJl58RRYoUoXnz5ln6jCh95gyNpkzB6fhxTE5OXBg0iOuvv07U5s2weXO++owIDAykXr162f6MSE9P58CBA/n2MyIkJIQqVapk+zMiIyMDmzA9gK+//tpUpkwZk4eHh6lBgwamzZs333P7n376yVS5cmWTh4eHqXr16qYlS5Zken7evHmmNm3amAICAkyAaceOHVZtXL9+3fTCCy+YAgICTN7e3qauXbuaYmNjs1zz6dOnTYDp9OnTWf6Z3JSSkmJauHChKSUlxd6l5CmJ5xNvjmtpKkSiKTHRtvuImBZhn2OUeKsGm7zItDSTqVSpW/u48+HkZDKFhJi3c2B6Hzk+HSPHp2NkzdF/h7C3P/74w9SsWTMTYHJxcTHVr1/f1K9fP1OVKlUybZeSkmLq1KmT6bHHHjPFx8ffs83vvvvO5Orqarpx44bh8zdu3DDFx8dbHjeP0f3atafly5fbuwSHo0yMKRdjysVYgc8lJcVkeucdk8nZ2fx3S5kypt8//dTeVTmkAn+u3MW8efNs8jtEtm8jnTNnDqNGjeK9995j+/bt1KpVi/DwcC5cuGC4/aZNm+jTpw+DBg1ix44ddOnShS5dumS6LzYpKYkmTZrw8ccf33W/I0eO5JdffiEiIoJ169Zx9uxZuuoqG5GcsWEDnDlz9+dNJjh92rydiIjIbcqXL8+6detITEzk9OnTbNmyhdTUVMqVK2fZJjU1lZ49e3Ly5ElWrVqV6ao2Iw0bNiQtLY0TJ04YPu/h4YGfn1+mh6OLi4uzdwkOR5kYUy7GlIuxAp3LkSPQpAmMHQsZGebbRXft4liJEvauzCEV6HPlHi5fvmyTdrPd2TZx4kSGDBnCwIEDqVatGlOnTqVQoUJ8//33htt/8cUXtGvXjtdee42qVasyduxY6tSpw9dff23Z5tlnn+Xdd9+ldevWhm3Ex8fz3XffMXHiRFq2bEndunX573//y6ZNm/j999+z+xJE5E7nzuXsdiIiUuB4e3sTHBzM5cuXWbFiBZ07dwZudbQdOXKEX3/9laJFi963rZ07d+Ls7Ezx4sVtXXauycrrLmiUiTHlYky5GCuQuZhM5plFa9eGLVugcGHz5G4zZoC/f8HMJAuUi7GAgACbtJutMdtSUlKIjo5m9OjRlnXOzs60bt3aMl7CnaKiohg1alSmdeHh4Zb73LMiOjqa1NTUTJ1xVapUoXTp0kRFRfH4449b/UxycjLJycmW5atXrwLmgXwdccrbmzU5Ym2O7M68UlNTyekIjfaR61JTcbt9/zlcg9Mjj2TpwyDtkUcwOfA5qveR49Mxcnw6RtbuNVC/wIoVKzCZTFSuXJk//viD1157jSpVqjBw4EBSU1Pp3r0727dvZ/HixaSnpxMbGwuYf7l1d3cnKiqKzZs306JFC3x9fYmKimLkyJE888wzFClSxM6vLuc0adLE3iU4HGViTLkYUy7GClwu587BoEHw13h8tGwJ06ZBSIhlkwKXSRYpF2NhYWE2aTdbnW0XL14kPT2dwMDATOsDAwMtg87dKTY21nD7m79oZUVsbCzu7u5Ws1bdq527DZwbGRlJsWLFsrzv3HZzMD/JmtQrqXS/bXnFihV4eqbbdB/2OEYuN27Q8a9/r1ixgvQ7Zn17aOnptC1aFM9Ll3AyeNoEXC9WjFUJCfDXwKeOTO8jx6dj5Ph0jG65ePGivUtwaPHx8YwePZozZ84QEBBAt27d+Oijj3Bzc+PEiRP8/PPPgHng9tutWbOG5s2b4+HhwezZsxkzZgzJycmULVuWkSNHWn1Zm9ctWrSIPn362LsMh6JMjCkXY8rFWIHKJSIChg6FuDjw9ITx4+HFF8E58w17BSqTbFAuxm5ONJHT8u1spKNHj870S1pMTAzVqlWjVatWlCxZ0o6VGUtNTWXVqlW0adMGNze3+/+AAJB0ISnTcnh4ON7ett2HXY5R0q0awsPDyfEXCTh98w307o0JcLptRlKTk7n7zX3yZDp06pTj+81Jeh85Ph0jx6djZC0mJsbeJTi0nj170rNnT8PnQkNDMd05y/Ud6tSpo2FBRETk7i5fNneq/fijeblOHfMto9Wq2bcukXvIVmdbsWLFcHFx4fz585nWnz9/nqCgIMOfCQoKytb2d2sjJSWFK1euZLq67V7teHh44OHhYVlOSEgAwNXV1aH/eHBzc3Po+hzNnVmZ88uNfeTyMbptf25ubuT4iwTo2RNcXeGll+C2PyydSpWCSZNwzUMTkuh95Ph0jByfjtEtrq759rtJyUV3XtknyuRulIsx5WIs3+eyfLn5ttGzZ81XsI0eDe++C+7ud/2RfJ/JA1IuxmrWrGmTdrM1QYK7uzt169YlMjLSsi4jI4PIyMi73ucaFhaWaXsw35qSnfti69ati5ubW6Z2Dh06xKlTp2x2f61IgdS1K+zff2t56VI4fty8XkRERB6Ys3O25yXL95SJMeViTLkYy7e5XL0Kf/87tG9v7mirXBk2bYIPP7xnRxvk40weknIxZqtcst3qqFGj+Pbbb5k+fToHDhzgH//4B0lJSQwcOBCA/v37Z5pA4eWXX2b58uV89tlnHDx4kDFjxrBt2zaGDx9u2SYuLo6dO3ey/68/8g8dOsTOnTst47H5+/szaNAgRo0axZo1a4iOjmbgwIGEhYUZTo4gIg/BxeXWv5s1y7wsIiIiD2T79u32LsHhKBNjysWYcjGWL3NZuxZq1YJ//9u8PGIEbN8ODRtm6cfzZSY5QLkY27lzp03azfZ9Eb169eLPP//k3XffJTY2ltq1a7N8+XLLJAinTp3K1DPYqFEjZs6cydtvv82bb75JxYoVWbhwIdWrV7ds8/PPP1s66wB69+4NwHvvvceYMWMA+Pzzz3F2dqZbt24kJycTHh7ON99880AvWkREREREREQcSFKS+TbRr74yL5cpY55ptHlze1Yl8kAe6Hq54cOHc/LkSZKTk9m8eTMNb+thXrt2LdOmTcu0fY8ePTh06BDJycns3buXDh06ZHp+wIABmEwmq8fNjjYAT09PJk+eTFxcHElJScyfPz9b476JiIiI2Nq4ceOoX78+vr6+FC9enC5dunDo0KFM2zRv3hwnJ6dMj6FDh9qpYsktHTt2vP9GBYwyMaZcjCkXY/kml40boXbtWx1tzz8Pu3c/UEdbvskkhykXY+3atbNJu7ppV0RERCSHrFu3jmHDhvH777+zatUqUlNTadu2LUlJmWe2HjJkCOfOnbM8JkyYYKeKJbds2bLF3iU4HGViTLkYUy7G8nwu16/DK6+Yh6/54w8oVco8KcL//R/4+T1Qk3k+ExtRLsaio6Nt0q6m1xIRERHJIcuXL8+0PG3aNIoXL050dDTNmjWzrC9UqJCu0C9gLly4YO8SHI4yMaZcjCkXY3k6l99+g7/9DQ4fNi//7W8wcSL4+z9Us3k6ExtSLsb+/PNPm7SrK9tEREREsuDq1askJCRYHsnJyff9mfj4eAACAgIyrf/xxx8pVqwY1atXZ/To0Vy7ds0mNYvj8H/IPx7zI2ViTLkYUy7G8mQu166Zr2Zr2tTc0VaiBCxeDN9999AdbZBHM8kFysWYrXLRlW0iIiIiWVCtWrVMy7dP5GQkIyODESNG0Lhx40wTQ/Xt25cyZcpQokQJdu/ezT//+U8OHTrE/PnzbVW6OIBWrVrZuwSHo0yMKRdjysVYnsvlt99g4EA4csS8PGAAfP45FC6cY7vIc5nkEuVi7IknnrBJu7qyTURERCQL9u/fT3x8vOUxevToe24/bNgw9u7dy+zZszOtf/755wkPD6dGjRr069ePH374gQULFnD06FFbli92ps5Ua8rEmHIxplyM5ZlckpJgxAjz1WxHjkDJkrBkCfz3vzna0QZ5KJNcplyM/fzzzzZpV1e2iYiIiGSBr68vflkcrHn48OEsXryY9evXU6pUqXtue3NW9z/++IPy5cs/dJ0iIiIOZe1aGDQIjh0zLw8caB6bLYc72UQcia5sExEREckhJpOJ4cOHs2DBAlavXk3ZsmXv+zM7d+4EIDg42MbViT3dfiuxmCkTY8rFmHIx5tC5XL0Kw4ZBixbmjraQEPNMo99/b9OONofOxI6Ui7E7hwnJKbqyTURERCSHDBs2jJkzZ7Jo0SJ8fX2JjY0FzIPvenl5cfToUWbOnEmHDh0oWrQou3fvZuTIkTRr1oyaNWvmaq03btxg9+7dXLhwgYyMjEzPPfXUU7laS0FQqFAhe5fgcJSJMeViTLkYc9hcVq2CIUPg5Enz8t//DhMmQBavEH8YDpuJnSkXY15eXjZpV51tIiIiIjlkypQpADRv3jzT+v/+978MGDAAd3d3fv31VyZNmkRSUhIhISF069aNt99+O1frXL58Of379+fixYtWzzk5OZGenp6r9RQEW7Zs0W3Cd1AmxpSLMeVizOFyuXLFPNPo99+bl0NDzbOMtmyZayU4XCYOQrkYi46Otkm76mwTERERySEmk+mez4eEhLBu3bpcqubuXnzxRXr06MG7775LYGCgvcsREZH84JdfYOhQOHsWnJzgxRfho4/Ax8felYnkOnW2iYiIiBQw58+fZ9SoUepoy0Xt27e3dwkOR5kYUy7GlIsxh8jl4kV4+WWYOdO8XKmS+Wq2Jk3sUo5DZOKAlIuxNm3a2KRdTZAgIiIiUsB0796dtWvX2ruMAmXXrl32LsHhKBNjysWYcjFm11xMJpgzB6pVM3e0OTvD66/Dzp1262gDnSt3o1yM7d271ybt6so2ERERkQLm66+/pkePHmzYsIEaNWrg5uaW6fmXXnrJTpXlX2fPnrV3CQ5HmRhTLsaUizG75XL2LLzwAixaZF6uXt08Tlv9+vap5zY6V4wpF2Pnzp2zSbvqbBMREREpYGbNmsXKlSvx9PRk7dq1ODk5WZ5zcnJSZ5sN+GjMIivKxJhyMaZcjOV6LiYTTJsGo0aZJ0Nwc4O33oLRo8HdPXdruQudK8aUizFb5aLONhEREZEC5q233uL999/njTfewNlZo4rkhg4dOti7BIejTIwpF2PKxViu5nLiBDz/PKxaZV6uV898NVuNGrlXQxboXDGmXIy1bdvWJu3qtysRERGRAiYlJYVevXqpoy0X/fTTT/YuweEoE2PKxZhyMZYruWRkwNdfm28VXbUKPD3h448hKsrhOtpA58rdKBdj8+fPt0m7+g1LREREpIB57rnnmDNnjr3LEBERR3f4MDzxBLz4IiQlQdOmsGuXeSIEV90oJ3I3eneIiIiIFDDp6elMmDCBFStWULNmTasJEiZOnGinyvKvKlWq2LsEh6NMjCkXY8rFmM1ySUuDiRPh3XchORl8fMxXsw0dap511IHpXDGmXIxVqlTJJu2qs01ERESkgNmzZw+PPfYYYD3l/e2TJUjOCQgIsHcJDkeZGFMuxpSLMZvksns3/O1vEB1tXm7bFv79byhTJuf3ZQM6V4wpF2NFihSxSbvqbBMREREpYNasWWPvEgqcTZs2USaP/KGaW5SJMeViTLkYy9FcUlLgX/+Cjz4yX9lWuLD56rYBAyAPfRGjc8WYcjG2efNmm7SrzjYRERERERGRgmzbNhg4EG5e7dy5M0yZAsHB9q1LJI9SZ5uIiIhIAZOUlMT48eOJjIzkwoULZGRkZHr+2LFjdqos/2rTpo29S3A4ysSYcjGmXIw9dC7Xr8P778Mnn5hnHS1WzDzzaM+eeepqttvpXDGmXIy1bNnSJu2qs01ERESkgBk8eDDr1q3j2WefJTg4WOO05YKDBw/SpEkTe5fhUJSJMeViTLkYe6hcfvsNBg2CQ4fMy336wBdfwCOP5FyBdqBzxZhyMXb48GGbtKvONhEREZECZtmyZSxZsoTGjRvbu5QC4/Tp0/YuweEoE2PKxZhyMfZAuSQlwVtvwZdfgslkvlV0yhTzraP5gM4VY8rF2JkzZ2zSrjrbRERERAqYIkWKaFayXObl5WXvEhyOMjGmXIwpF2PZzmXdOvPVbEePmpefew4+/xxsNCOjPehcMaZcjNkqF2ebtCoiIiIiDmvs2LG8++67XLt2zd6lFBhdunSxdwkOR5kYUy7GlIuxLOeSmAjDh0Pz5uaOtlKlYOlSmDYtX3W0gc6Vu1Euxjp27GiTdtXZJiIiIlLAfPbZZ6xYsYLAwEBq1KhBnTp1Mj0k582ePdveJTgcZWJMuRhTLsaylMuaNVCzJkyebF4eMsQ862j79rYtzk50rhhTLsbmzp1rk3Z1G6mIiIhIAaNvt3OfyWSydwkOR5kYUy7GlIuxe+aSmAj//Cd88415uUwZ+M9/oHXr3CnOTnSuGFMuxmyVizrbRERERAqY9957z94lFDgVK1a0dwkOR5kYUy7GlIuxu+ayZo15bLbjx83LQ4fChAng65t7xdmJzhVjysVY+fLlbdKubiMVEREREbGxoKAge5fgcJSJMeViTLkYs8rl5thsLVuaO9rKlIFffzXPNloAOtpA58rdKBdjgYGBNmlXnW0iIiIiIja2YcMGe5fgcJSJMeViTLkYy5TLhg1Qq9atsdmGDoU9e6BVK/sUZyc6V4wpF2ObNm2ySbvqbBMRERERERHJq65fh1Gj4Ikn4NgxCAmBlSsL1NVsIo5GY7aJiIiIiNhYixYt7F2Cw1EmxpSLMeVirK2/P9SuDYcPm1cMGgSffQb+/naty550rhhTLsaaNWtmk3Z1ZZuIiIiIiI2dOHHC3iU4HGViTLkYUy53SEmBt94ioFMnc0dbiRKwdKl5ttEC3NEGOlfuRrkYO3XqlE3aVWebiIiIiFh88MEH2RrX5erVq4wYMYIyZcrg5eVFo0aN2Lp1q+V5k8nEu+++S3BwMF5eXrRu3ZojR45kaiMuLo5+/frh5+dH4cKFGTRoEImJiTn2mhzB8ZszAoqFMjGmXIwpl9vs3g0NGsC//oVTRgb06wd790L79vauzCHoXDGmXIzZqhNSnW0iIiIiYvHf//6X8PBwOnXqlKXtBw8ezKpVq5gxYwZ79uyhbdu2tG7dmpiYGAAmTJjAl19+ydSpU9m8eTPe3t6Eh4dz48YNSxv9+vVj3759rFq1isWLF7N+/Xqef/55m7w+e3Fzc7N3CQ5HmRhTLsaUC5CeDh9/DPXqwa5dULQoUa+8Av/7HxQpYu/qHIbOFWPKxZitclFnm4iIiIhYHD9+nEuXLvGPf/zjvttev36defPmMWHCBJo1a0aFChUYM2YMFSpUYMqUKZhMJiZNmsTbb79N586dqVmzJj/88ANnz55l4cKFABw4cIDly5fzn//8h4YNG9KkSRO++uorZs+ezdmzZ238anNP9+7d7V2Cw1EmxpSLsQKfy7Fj5gkQ3ngDUlPhqadg3z7CPv3U3pU5nAJ/rtyFcjHWpUsXm7SrzjYRERERycTLy4sOHTrcd7u0tDTS09Px9PS0+vmNGzdy/PhxYmNjad26teU5f39/GjZsSFRUFABRUVEULlyYevXqWbZp3bo1zs7ObN68OYdekf3NnTvX3iU4HGViTLkYK7C5mEzw3XdQqxb89pt5dtHvv4eFCyEwsODmcg/KxJhyMXbzy7+cps42ERERkQJm+fLlbNy40bI8efJkateuTd++fbl8+XKW2/H19SUsLIyxY8dy9uxZ0tPT+d///kdUVBTnzp0jNjYWgMDAwEw/FxgYaHkuNjaW4sWLZ3re1dWVgIAAyzZ3Sk5OJiEhIdPD0aWmptq7BIejTIwpF2MFMpcLF6BLFxg8GBIToVkz83htAweCkxNQQHO5D2ViTLkYs1UurjZpVUREREQc1muvvcbHH38MwJ49e3jllVcYNWoUa9asYdSoUfz3v//NclszZszgb3/7GyVLlsTFxYU6derQp08foqOjbVU+48aN4/3337daHxERQaFChejatSuRkZHEx8dTvHhxGjRowOLFiwGoU6cOGRkZ7Ny5E4DOnTuzceNGLl26REBAAM2aNbN8y12zZk3c3Nwsr+XJJ59k27ZtnD9/Hj8/P9q2bWu5UuDRRx/Fx8fHcjVeeHg4e/fuJSYmBm9vb0JDQ5k1axYAlStXplixYvz222+A+Uq+w4cPc+rUKTw8POjatStz5swhIyOD8uXLU7JkSdavXw9A8+bNOXXqFMeOHcPV1ZUePXowb948UlJSKFOmDOXLl2f16tUANGnShAsXLnD48GEA+vTpw6JFi7h27RqlSpWiWrVqrFy5EoCwsDDi4+PZv38/AD169GD58uVcvXqVoKAg6tSpw9KlSwGoX78+N27cYM+ePQA8/fTTrF27lsuXL1OsWDHCwsL45ZdfAHjssccA2LFjBwCdOnUiKiqKixcvcuPGDW7cuMGCBQsAqFGjBp6enpYJNjp06MD27duJjY3F19eXdu3aERERAUC1atXw9/e3XCHZtm1b9u/fz5kzZyhUqBCdO3e25F2pUiWKFy9u6WBu2bIlR48e5eTJk7i7u9OtWzciIiJIS0ujXLlylC5dmrVr1wLQrFkzYmJiOHr0KM7OzvTq1Yv58+eTnJxM6dKlqVSpEr/++isAjRs35uLFixw6dAiAXr16sXjxYpKSkihZsiTVq1dnxYoVADRs2JDExET27dsHmG/vWrlyJQkJCaSlpZGQkMCSJUsAqFu3LqmpqezevRsw3/K0fv164uLiKFq0KE2aNGHRokUA1K5dG2dnZ7Zv3w5Ax44d2bJlCxcuXMDf359WrVoxf/58AKpXr06hQoXYsmULAO3bt2fXrl2cPXsWHx8fOnTowE8//QRAlSpVCAgIYNOmTQC0adOGgwcPcvr0aby8vOjSpQuzZ8/GZDJRsWJFgoKCLBOttGjRghMnTnD8+HHc3Nzo3r07c+fOJTU1lbJlyxIaGsqaNWsAaNq0KbGxsRw5cgQnJyd69+7NwoULuX79OiaTiYsXL7Jq1SoAGjVqRFxcHAcPHgSgZ8+eLF26lMTEREqUKEGtWrVYtmwZAA0aNODatWvs3bsXwCE/Izp27MicOXMA82dEqV278BsxAs+EBEzu7pwYPJjNjRrhvn07XUNDLZ8RLi4uxMTE5MvPiCJFitC8efNsf0ZcvnyZXbt25dvPiMDAQOrVq5ftz4jLly9z4MCBfPsZERISQpUqVbL9GXHlyhVswclkMpls0rKDOXPmDCEhIZw+fZpSpUrZuxwrqampLF26lA4dOmjgwmxIupCEd6APAN4kciHRG29v2+1j7rQIOvftnPvHKCkJfMw1kJhIjr9Ie+0rh+l95Ph0jByfjpE1R/8d4kH4+Piwd+9eQkNDGTNmDHv37mXu3Lls376dDh063PWKsntJSkoiISGB4OBgevXqRWJiIl999RXly5dnx44d1K5d27LtE088Qe3atfniiy/4/vvveeWVVzJdUZeWloanpycRERE8/fTTVvtKTk4mOTnZspyQkEBISAjx8fH4+fllu/bcEBsbS1BQkL3LcCjKxJhyMVZgcrl2DV55BaZONS/XqGGeAKFmTcPNC0wu2aBMjCkXY0eOHKFSpUo5/jvEA91GOnnyZEJDQ/H09KRhw4aWns67iYiIoEqVKnh6elKjRg1Lj/dNWZkS/vDhw3Tu3JlixYrh5+dHkyZNLL2bIiIiIpJ17u7uXLt2DYBff/2Vtm3bAhAQEPDAt2R6e3sTHBzM5cuXWbFiBZ07d6Zs2bIEBQURGRlp2S4hIYHNmzcTFhYGmK+WuHLlSqYr4VavXk1GRgYNGzY03JeHhwd+fn6ZHo5Ov7daUybGlIuxApFLdDTUqXOro23UKNi69a4dbVBAcskmZWJMuRi7eVVoTst2Z9ucOXMYNWoU7733Htu3b6dWrVqEh4dz4cIFw+03bdpEnz59GDRoEDt27KBLly506dLFcgkvZG1K+I4dO5KWlsbq1auJjo6mVq1adOzY8YG+eRUREREpyJo0acKoUaMYO3YsW7Zs4cknnwTMX25m9+q9FStWsHz5co4fP86qVato0aIFVapUYeDAgTg5OTFixAg+/PBDfv75Z/bs2UP//v0pUaKEZfavqlWr0q5dO4YMGcKWLVv47bffGD58OL1796ZEiRI5/dJFRBxPejp8/DE8/jgcOgQlSsCqVfDZZ+DhYe/qROQBZLuzbeLEiQwZMoSBAwdSrVo1pk6dSqFChfj+++8Nt//iiy9o164dr732GlWrVmXs2LHUqVOHr7/+GiBLU8JfvHiRI0eO8MYbb1CzZk0qVqzI+PHjM913LyIiIiJZ8/XXX+Pq6srcuXOZMmUKJUuWBGDZsmW0a9cuW23Fx8czbNgwqlSpQv/+/WnSpAkrVqyw3Ib8+uuv8+KLL/L8889Tv359EhMTWb58eaYZTH/88UeqVKlCq1at6NChA02aNOHf//53zr1gB9C0aVN7l+BwlIkx5WIs3+YSEwNt2sAbb0BaGnTrZp4E4bZZnO8l3+byEJSJMeVirFGjRjZpN1sTJKSkpBAdHc3o0aMt65ydnWndurVl4ME7RUVFMWrUqEzrwsPDLR1p95sSvnfv3hQtWpTKlSvzww8/UKdOHTw8PPi///s/ihcvTt26dQ33e+dYHlevXgXMY4A44iwcN2tyxNoc2Z15paamktMRGu0j16Wm4mb5Zyo5/iLtta8cpveR49Mxcnw6RtbS0tLsXUKOK126tGUw8Nt9/vnnXL9+PVtt9ezZk549e971eScnJz744AM++OCDu24TEBDAzJkzs7XfvCY2NjbfjPmXU5SJMeViLF/m8vPP8Le/waVL5nGSv/wy00yjWZEvc3lIysSYcjF2/vx5m7Sbrc62ixcvkp6ebjh9+80ZHu4UGxt73+neb6672zZOTk78+uuvdOnSBV9fX5ydnSlevDjLly+nSJEihvu92yxVkZGRFCtWLAuv1j5uzpwhWZN6JZXuty2vWLECT890m+7DHsfI5cYNOv717xUrVpB+29UAeXlftqL3kePTMXJ8Oka3XLx40d4l5LiXXnqJL7/80mp9UlISHTt21LguNnDkyBHq1atn7zIcijIxplyM5atcrl+HV1+Fb74xL9epA7NmQaVK2W4qX+WSQ5SJMeVi7OjRozZpN1udbfZiMpkYNmwYxYsXZ8OGDXh5efGf//yHTp06sXXrVoKDg61+ZvTo0ZmuqIuJiaFatWq0atXKcquEI0lNTWXVqlW0adNGs79lQ9KFpEzL4eHhNpmN9HZ2OUZJt2oIDw+3/WykubWvHKb3kePTMXJ8OkbWYmJi7F1CjluyZAlFihTJ9MVkUlJStm8hlaxzysaVKgWFMjGmXIzlm1z274deveDmcEivvAIfffTAY7Plm1xykDIxplyM2SqXbHW2FStWDBcXF6vL7M6fP3/XKWSDgoLuuf3N/54/fz5Tp9n58+ctU8SvXr2axYsXc/nyZctsU9988w2rVq1i+vTpvPHGG1b79fDwwOO2D6ybM2u5uro69B8Pbm5uDl2fo7kzK3N+ubGPXD5Gt+3Pzc2NHH+R9tqXjeh95Ph0jByfjtEtrq554rvJbFm5ciVNmzalSJEijBgxgqtXrxIeHo6rqyvLli2zd3n5Uu/eve1dgsNRJsaUi7E8n4vJBN9/Dy++aL6yLTAQpk+H8PCHajbP52IDysSYcjHWvXt3Bg0alOPtZmuCBHd3d+rWrZtp+vaMjAwiIyMt07ffKSwsLNP2YL415eb2WZkS/ubU9M7Omct1dnYmIyMjOy9BREREpMArX748y5cvZ+zYsXz55Ze0bdsWd3d3li1bhnceuqI5L7k5XrHcokyMKRdjeTqXhATo1w8GDzZ3tLVtC7t2PXRHG+TxXGxEmRhTLsaMxrDNCdmejXTUqFF8++23TJ8+nQMHDvCPf/yDpKQkBg4cCED//v0zTaDw8ssvs3z5cj777DMOHjzImDFj2LZtG8OHDwfI0pTwYWFhFClShOeee45du3Zx+PBhXnvtNY4fP26Zql5ERETE3saNG0f9+vXx9fWlePHidOnShUOHDmXa5saNGwwbNoyiRYvi4+NDt27dbDY4773UrFmTxYsX8+abb1KoUCF1tNlYdieeKAiUiTHlYizP5rJ9O9Stax6TzcUFxo2DZcvMV7blgDybiw0pE2PKxZitcsn2fRG9evXizz//5N133yU2NpbatWuzfPlyywQHp06dynQFWqNGjZg5cyZvv/02b775JhUrVmThwoVUr17dss3rr79OUlISzz//PFeuXKFJkyaZpoQvVqwYy5cv56233qJly5akpqby6KOPsmjRImrVqvWwGYiIiIjkiHXr1jFs2DDq169PWloab775Jm3btmX//v2WjqyRI0eyZMkSIiIi8Pf3Z/jw4XTt2pXffvvNprU99thjhuOSeHh4cPbsWRo3bmxZt337dpvWUhCFhITYuwSHo0yMKRdjeS4XkwmmTIGRIyElBUqXNne4NWqUo7vJc7nkAmViTLkYs9UMrQ80CMnw4cMtV6bdae3atVbrevToQY8ePe7aXlamhK9Xrx4rVqzIdq0iIiIiuWX58uWZlqdNm0bx4sWJjo6mWbNmxMfH89133zFz5kxatmwJwH//+1+qVq3K77//zuOPP26z2m7eMSD2UaVKFXuX4HCUiTHlYixP5ZKQAM8/D3PmmJc7dzaP1xYQkOO7ylO55BJlYky5GKv0ALMAZ0X+G/FXRERExAauXr1qmXAJrCdjMhIfHw9AwF9/YEVHR5Oamkrr1q0t21SpUoXSpUsTFRVl08629957z2Zty/2tWrWKPn362LsMh6JMjCkXY3kml127oEcPOHIEXF1hwgQYMQJsNONhnsklFykTY8rF2OrVq23SbrbHbBMREREpiKpVq4a/v7/lMW7cuHtun5GRwYgRI2jcuLFl+IzY2Fjc3d0pXLhwpm0DAwOJjY21VekiIpIbvv8eHn/c3NEWEgIbNphvI7VRR5uIOC5d2SYiIiKSBfv376dkyZKW5ftd1TZs2DD27t3Lxo0bbV1atqWnp/P555/z008/cerUKVJSUjI9HxcXZ6fK8q9GOTxOU36gTIwpF2MOncv16zB8uLmzDaBDB/jhByha1Oa7duhc7ESZGFMuxho2bGiTdnVlm4iIiEgW+Pr64ufnZ3ncq7Nt+PDhLF68mDVr1mQaeDcoKIiUlBSuXLmSafvz588TFBRkq9KtvP/++0ycOJFevXoRHx/PqFGj6Nq1K87OzowZMybX6ihI1IFpTZkYUy7GHDaXY8egcWNzR5uzM3z4IfzyS650tIED52JHysSYcjF2+fJlm7SrzjYRERGRHGIymRg+fDgLFixg9erVlC1bNtPzdevWxc3NjcjISMu6Q4cOcerUKcLCwnKtzh9//JFvv/2WV155BVdXV/r06cN//vMf3n33XX7//fdcq6MgOXjwoL1LcDjKxJhyMeaQuSxeDHXrwo4dUKwYrFgBb71l7nTLJQ6Zi50pE2PKxdjhw4dt0q5uIxURERHJIcOGDWPmzJksWrQIX19fyzhs/v7+eHl54e/vz6BBgxg1ahQBAQH4+fnx4osvEhYWZtPJEe4UGxtLjRo1APDx8bFM5NCxY0feeeedXKtDRCRPysiAMWNg7FjzcsOGEBFhHqdNRARd2SYiIiKSY6ZMmUJ8fDzNmzcnODjY8pgzZ45lm88//5yOHTvSrVs3mjVrRlBQEPPnz8/VOkuVKsW5c+cAKF++PCtXrgRg69at9x2LTh5Mz5497V2Cw1EmxpSLMYfJ5coVeOqpWx1tL7wA69bZraPNYXJxIMrEmHIx1rVrV5u0q842ERERkRxiMpkMHwMGDLBs4+npyeTJk4mLiyMpKYn58+fn6nhtAE8//bTlVtYXX3yRd955h4oVK9K/f3/+9re/5WotBcXSpUvtXYLDUSbGlIsxh8hl/35o0ACWLAFPT5g+HSZPBjt+SeEQuTgYZWJMuRi7+YVjTtNtpCIiIiIFzPjx4y3/7tWrF6VLlyYqKoqKFSvSqVMnO1aWfyUmJtq7BIejTIwpF2N2z2X+fHjuOUhMhNKlzct169q3JhwgFwekTIwpF2O2ykWdbSIiIiIFXFhYWK5O0FAQlShRwt4lOBxlYky5GLNbLhkZ8N575llGAVq0gDlz4JFH7FPPHXS+WFMmxpSLseDgYJu0q9tIRURERAqgGTNm0LhxY0qUKMHJkycBmDRpEosWLbJzZflTrVq17F2Cw1EmxpSLMbvkcvUqdO16q6Nt5EhYudJhOtpA54sRZWJMuRirXr26TdpVZ5uIiIhIATNlyhRGjRpFhw4duHLlCunp6QAULlyYSZMm2be4fGrZsmX2LsHhKBNjysVYrudy7BiEhcGiReYx2aZPh4kTwdWxbg7T+WJNmRhTLsZWrVplk3bV2SYiIiJSwHz11Vd8++23vPXWW7i4uFjW16tXjz179tixMhERB7BmDdSvD/v2QXCwebbR/v3tXZWI5CHqbBORTP66uAGA9eszL4uISP5w/PhxHnvsMav1Hh4eJCUl2aGi/K9Bgwb2LsHhKBNjysVYruXyf/8HbdpAXJy5w23rVmjYMHf2/QB0vlhTJsaUi7G6NproRJ1tImIxfz5UrXpruX0HCA01rxcRkfyjbNmy7Ny502r98uXLqXr7/wgkx1y7ds3eJTgcZWJMuRizeS7p6eYx2YYONf+7b1/zFW0lS9p2vw9J54s1ZWJMuRi7fv26TdpVZ5uIAOYOte7dIeZs5vUxMeb16nATEck/Ro0axbBhw5gzZw4mk4ktW7bw0UcfMXr0aF5//XV7l5cv7d27194lOBxlYky5GLNpLlevQufOcHPMyg8/hP/9D7y8bLfPHKLzxZoyMaZcjO3fv98m7TrW6I4iYhfp6fDyy2AyWT9nMoGTE4wYYf4d5LahfUREJI8aPHgwXl5evP3221y7do2+fftSokQJvvjiC3r37m3v8kREcs/Jk9CpE+zZA56e8MMP0KOHvasSkTxOnW0iwoYNcObM3Z83meD0afN2zZvnWlkiImJD/fr1o1+/fly7do3ExESKFy9u75Lyta5du9q7BIejTIwpF2M2yWXrVnNH2/nzEBQEP/9sHqctD9H5Yk2ZGFMuxp566imbtKvbSEWEc+dydjsREckbLly4QHR0NIcOHeLPP/+0dzn5WmRkpL1LcDjKxJhyMZbjuSxaBE88Ye5oq1ULtmzJcx1toPPFiDIxplyMrVu3zibtqrNNRAgOztntRETEsV29epVnn32WEiVK8MQTT/DEE09QokQJnnnmGeLj4+1dXr6kXK0pE2PKxViO5vLVV/D003D9OrRrZ759IyQk59rPRTpfrCkTY8rFmK1yUWebiNC0KZQqZR6bzYiTk/n3j6ZNc7cuERGxjcGDB7N582aWLFnClStXuHLlCosXL2bbtm38/e9/t3d5+ZJu07WmTIwpF2M5kktGBowaBS+9ZB4n5fnn4ZdfwNf34du2E50v1pSJMeVi7JFHHrFJuxqzTSS3paebvz07d858qVjTpnafdcDFBb74wjzrqAvplvVNWc+vtCUDFyZNsnuZIiKSQxYvXsyKFSto0qSJZV14eDjffvst7dq1s2Nl+VeDBg3sXYLDUSbGlIuxh87l+nV49lmYN8+8PH48vP763b9tziN0vlhTJsaUi7G6devapF1d2SaSm+bPh9BQaNEC+vY1/zc01Lzezrp2hU2vzueQczXLuuV04JRLKJtenY/G0xQRyT+KFi2Kv7+/1Xp/f3+KFClih4ryv8WLF9u7BIejTIwpF2MPlcvly9C2rbmjzd0dZs2Cf/4zz3e0gc4XI8rEmHIxtnz5cpu0q842kdwyf7750rE7p/2MiTGvt3eH2/z5PP5pd4IyYjKtDs6I4fFPHaA+ERHJMW+//TajRo0iNjbWsi42NpbXXnuNd955x46ViYjksNOnzXeSbNwI/v6wciX07m3vqkQkn9NtpCK5IT0dXn7ZPDbEnUwm87dqI0ZA5872uVfztvru/H7PyRHqExGRHDVlyhT++OMPSpcuTenSpQE4deoUHh4e/Pnnn/zf//2fZdvt27fbq8x8pU6dOvYuweEoE2PKxdgD5bJvH4SHm7/cLlkSli2DGjVyvjg70vliTZkYUy7GateubZN21dkmkhs2bLC+ou12JpP5W7cNG6B581wry8LR6xMRkRzVpUsXe5dQ4GRkZNi7BIejTIwpF2PZzmXDBnjqKbhyBapWheXL4a8vF/ITnS/WlIkx5WLMVrmos00kN5w7l7Pb5TRHr09ERHLUe++9Z+8SCpydO3dStWpVe5fhUJSJMeVi7F65JCWBj4/534mJ4L1+mXlA4hs3oFEj84yjAQG5WG3u0fliTZkYUy7Gdu/ebZN2NWabSG4IDs7Z7XKao9cnIiIiIpIFLgvnmYc+uXEDnnwSVq3Ktx1tIuK41NkmkhuaNoVSpe4+45GTE4SEmLezB0evT0REJI/r3LmzvUtwOMrEmHIxZpRLUtKtB8AzzMCjf09ITSWta09YsAAKFcrlSnOXzhdrysSYcjH25JNP2qRddbaJ5AYXF/jiC/O/7+zQurk8aZL9Jh+4rT6TI9YnIiKSx23cuNHeJTgcZWJMuRgzysXHx/wIDIShTGEG/XHKyOB7BuIxfya4udmh0tyl88WaMjGmXIxFRUXZpF11tonklq5dYe5cKFEi8/pSpczru3a1T103/VWfKTAo83pHqU9ERCQPu3Tpkr1LcDjKxJhyMXavXF7lE6bwAgBf8iKD+Q8ZFIwviXW+WFMmxpSLsbi4OJu0q842kdzUtSvs339reelSOH7ccTqyunbl+oZoy+L1mfMdqz4REclRKSkpHDp0iLS0NHuXku8FaMwoK8rEmHIxdnsuN28dPXbUxEe8ySe8DsBHvEmno19wNdGZxER7VZq7dL5YUybGlIuxIkWK2KRddbaJ5Lbbb8Vs1szxbs28rZ6Mxxs7Xn0iIvLQrl27xqBBgyhUqBCPPvoop06dAuDFF19k/Pjxdq4uf2rWrJm9S3A4ysSYcjF2ey4+PuDrk8Gy8sN4k3EA/JPxvM1HlCvvhLc3eHvbq9LcpfPFmjIxplyMNW7c2CbtqrNNREREpIAZPXo0u3btYu3atXh6elrWt27dmjlz5mS5nfT0dN555x3Kli2Ll5cX5cuXZ+zYsZhMJss2Tk5Oho9PPvnEsk1oaKjV8/mt02/hwoX2LsHhKBNjysXY7bm4ksoMnuUFppCBE39nKhP4p/2KsyOdL9aUiTHlYmzx4sU2adfVJq2KiIiIiMNauHAhc+bM4fHHH8fptolxHn30UY4ePZrldj7++GOmTJnC9OnTefTRR9m2bRsDBw7E39+fl156CYBz585l+plly5YxaNAgunXrlmn9Bx98wJAhQyzLvr6+D/LSRCS/u36d6x164br0F0yurvRL+4HZ9OH8+YJzNZuIOD51tomIiIgUMH/++SfFixe3Wp+UlJSp8+1+Nm3aROfOnXnyyScB8xVqs2bNYsuWLZZtgoIyT7yzaNEiWrRoQbly5TKt9/X1tdo2P6lZs6a9S3A4ysSYcjFWs2ZN+OMP6N0b1+ho8PQk+X9zmd3d/PlTkG4dvZ3OF2vKxJhyMVa9enWbtKvbSEVEREQKmHr16rFkyRLL8s0Otv/85z+EhYVluZ1GjRoRGRnJ4cOHAdi1axcbN26kffv2htufP3+eJUuWMGjQIKvnxo8fT9GiRXnsscf45JNP7jlpQ3JyMgkJCZkejs7Nzc3eJTgcZWJMuRgLWLEC6tSB6GgoWhRWrCC93ZP2LsvudL5YUybGlIsxW+WiK9tERERECph//etftG/fnv3795OWlsYXX3zB/v372bRpE+vWrctyO2+88QYJCQlUqVIFFxcX0tPT+eijj+jXr5/h9tOnT8fX15eud8xy/dJLL1GnTh0CAgLYtGkTo0eP5ty5c0ycONGwnXHjxvH+++9brY+IiKBQoUJ07dqVyMhI4uPjKV68OA0aNLCMyVKnTh0yMjLYuXMnAJ07d2bjxo1cunSJgIAAmjVrZhnXpmbNmri5uREdbZ6p+8knn2Tbtm2cP38ePz8/2rZty9y5cwHzLbg+Pj5s3rwZgPDwcPbu3UtMTAze3t4kJiZa2qlcuTLFihXjt99+A8xj5R0+fJhTp07h4eFB165dmTNnDhkZGZQvX56SJUuyfv16AJo3b86pU6c4duwYrq6u9OjRg3nz5pGSkkKZMmUoX748q1evBqBJkyZcuHDB0hnap08fFi1axLVr1yhVqhTVqlVj5cqVAISFhREfH8/+v2ZN79GjB8uXL+fq1asEBQVRp04dli5dCkD9+vW5ceMGe/bsAeDpp59m7dq1XL58mWLFihEWFsYvv/wCwGOPPQbAjh07AOjUqRNRUVFcvHiRCxcuULp0aRYsWABAjRo18PT0ZOvWrQB06NCB7du3Exsbi6+vL+3atSMiIgKAatWq4e/vT1RUFABt27Zl//79nDlzhkKFCtG5c2dmzZoFQKVKlShevDgbN24EoGXLlhw9epSTJ0/i7u5Ot27diIiIIC0tjXLlylG6dGnWrl0LmAcUj4mJ4ejRozg7O9OrVy/mz59PcnIypUuXplKlSvz666+AeZDtixcvcujQIQB69erF4sWLSUpKomTJklSvXp0VK1YA0LBhQxITE9m3bx8A3bt3Z+XKlSQkJHDx4kWCgoIsHeJ169YlNTWV3bt3A9ClSxfWr19PXFwcRYsWpUmTJixatAiA2rVr4+zszPbt2wHo2LEjW7Zs4cKFC/j7+9OqVSvmz58PmK/mKFSokOVK1Pbt27Nr1y7Onj2Lj48PHTp04KeffgKgSpUqlvcnQJs2bTh48CCnT5/Gy8uLLl26MHv2bEwmExUrViQoKIgNGzYA0KJFC06cOMHx48dxc3Oje/fuzJ07l9TUVMqWLUtoaChr1qwBoGnTpsTGxnLkyBGcnJzo3bs3v8yeTbX/+z/K/3VMLlSpwqZhw3isTBniDu9g5syDAHh69uSXX5aSmJhIiRIlqFWrFsuWLQOgQYMGXLt2jb179wI45GdEx44dLWNmZucz4sqVK3h7e+fLz4giRYrQvHnzbH9GxMTE0KZNm3z7GREYGJjpS7OsfkbExMTw5JNP5rvPiIULF3L9+nVCQkKoUqUKq1atAsxfCMbFxXHwoPkzomfPnixdav0ZkZ3hM7LFVECcPn3aBJhOnz5t71IMpaSkmBYuXGhKSUmxdyl5SuL5RJMJTCYwFSLRlJho231ETIt4+GOUeKu9LBf8ID/zoOUdO2/ZV+Kx8zbdV07T+8jx6Rg5Ph0ja47+O8SD+uOPP0yDBw821a9f31S1alVTv379TLt3785WG7NmzTKVKlXKNGvWLNPu3btNP/zwgykgIMA0bdo0w+0rV65sGj58+H3b/e6770yurq6mGzduGD5/48YNU3x8vOVx8xjFx8dnq/7cNHPmTHuX4HCUiTHlcpvt202mqlVNJjBlODmZTO++azKlptq7Koei88WaMjGmXIz95z//scnvELqyTURERKQAKl++PN9+++1DtfHaa6/xxhtv0Lt3b8B81cHJkycZN24czz33XKZtN2zYwKFDh7I022nDhg1JS0vjxIkTVK5c2ep5Dw8PPDw8Hqr23HZzXDu5RZkYUy5ASgp8+CGMGwdpaRAczLV//xvvjh3tXZnD0fliTZkYUy7GwsPDbdKuxmwTERERKWCWLl1quVXlditWrLDcdpUV165dw9k586+TLi4uZGRkWG373XffUbduXWrVqnXfdnfu3Imzs7PhJA551bZt2+xdgsNRJsYKfC7R0VCvHowda+5o694ddu1ic6FC9q7MIRX488WAMjGmXIzdvIU5pz1QZ9vkyZMJDQ3F09OThg0bZppxykhERARVqlTB09OTGjVqWO7lvslkMvHuu+8SHByMl5cXrVu35siRI1btLFmyhIYNG+Ll5UWRIkXo0qXLg5QvIiIiUqC98cYbpKenW603mUy88cYbWW6nU6dOfPTRRyxZsoQTJ06wYMECJk6cyNNPP51pu4SEBCIiIhg8eLBVG1FRUUyaNIldu3Zx7NgxfvzxR0aOHMkzzzxDkSJFsv/iHNT58+ftXYLDUSbGCmwuycnw1lvQsCHs2QOPPAI//QQREfDIIwU3l/tQLtaUiTHlYuzChQs2aTfbnW1z5sxh1KhRvPfee2zfvp1atWoRHh5+1wI3bdpEnz59GDRoEDt27KBLly506dLFMjglwIQJE/jyyy+ZOnUqmzdvxtvbm/DwcG7cuGHZZt68eTz77LMMHDiQXbt28dtvv9G3b98HeMkiIiIiBduRI0eoVq2a1foqVarwxx9/ZLmdr776iu7du/PCCy9QtWpVXn31Vf7+978zduzYTNvdHBS5T58+Vm14eHgwe/ZsnnjiCR599FE++ugjRo4cyb///e/svzAH5ufnZ+8SHI4yMVYgc9m6FerWhX/9C9LToXdv2LcPevSwbFIgc8kC5WJNmRhTLsZslYuTyWQyZecHGjZsSP369fn6668ByMjIICQkhBdffNHwm9BevXqRlJRkmd0F4PHHH6d27dpMnToVk8lEiRIleOWVV3j11VcBiI+PJzAwkGnTptG7d2/S0tIIDQ3l/fffN5wqPivOnDlDSEgIp0+fplSpUg/Uhi2lpqaydOlSOnTooCl5syHpQhLegT4AeJPIhURvvL1tt4+50yLo3Lfzwx2jpCTwMbdHYiKGBaenw4YNcO4cBAebpzn397/3z+SQpOMX8C4XaP73sfN4l807t/DofeT4dIwcn46RNUf/HeJBBAUFMXPmTFq2bJlp/a+//krfvn1t9i2vrSQkJODv7098fLzD/jGRmpqq99QdlImx/J5Lpl+FL97A+9P3YcIEyMiA4sVhyhS4Y8ZiyP+5PCjlYk2ZGFMuxi5dukSxYsVy/HeIbE2QkJKSQnR0NKNHj7asc3Z2pnXr1pYpde8UFRXFqFGjMq0LDw+3TJd8/PhxYmNjad26teV5f39/GjZsSFRUFL1792b79u3ExMTg7OzMY489RmxsLLVr1+aTTz6hevXqhvtNTk4mOTnZsnz16lUA0tLSSE1Nzc7LzhU3a3LE2hzZnXmlpqaS0xEa7eMhG8TN8s9U7izYacECXEaNwikmxrLOVKIETvf4mZyUmpaa6d956ZzU+8jx6Rg5Ph0ja2lpafYuIcd17tyZESNGsGDBAsqXLw/AH3/8wSuvvMJTTz1l5+ryp7lz5xpe2VeQKRNjBSWXBmzGq/FAOHTAvKJvX/jySyha1HD7gpJLdikXa8rEmHIxdrNvKqdlq7Pt4sWLpKenExgYmGl9YGAgBw8eNPyZ2NhYw+1jY2Mtz99cd7dtjh079v/t3Xd8FGXix/HPppBA6DWQgBRpkSJFcqEJghAQDESq2Dn1vNMTOUWxYUdQEXv5eRbupAgGOBFRCCAtgnQRCyI1kCAgJYGElPn9sWTJZifJbrItyff9eu2L7Ozs7DPfmV1mn30KAE899RQzZsygadOmvPLKK/Tp04dff/2V2rVrO7zu1KlTefrppx2WJyYmUrduXWd21yeWL1/u6yKUKVmnshiR7/7XX39NaKjjGDTufI3SHqPAjAzy5lH6+uuvyQkNtT3WMCmJq6ZNc3zSkSO2Pws+x91yU8+SN9LOqlWrCGhQzWOv5Sl6H/k/HSP/p2N0yfHjx31dBLebPn06sbGxtGnTxtZa7/Dhw/Tq1YuXX37Zx6UTkfIoPf3iv6eyeIZneJQXCPgll9z6Dbjw2ruEjhnm0/KJiLiTS5VtvpI3o9Vjjz3GDTfcAMBHH31EZGQk8+fP5+6773Z4zuTJk+1a1CUnJxMVFUW/fv2IiIjwTsFdkJWVxfLly7n22mvVtNMF6cfS7e4PHDjQI91I8yv1MUq/tL2BAwde6hKak0PQP/4BYGvFlif//YH9+4MHu8ik77/Udahv376ENS1b3Uj1PvJvOkb+T8fIUXK+lsblRY0aNdiwYQPLly9nx44dVK5cmQ4dOtC7d29fF63cuuKKK3xdBL+jTMyV11yqVoXW/Mx/uYkn2ALAp9zIfcfe4M+xtTHGFP388ppLaSkXR8rEnHIx17ZtW49s16XKtrp16xIYGOgwi0Vqairh4eGmzwkPDy9y/bx/U1NTadiwod06V155JYBtef6BfENCQmjevDkHDx40fd2QkBBCQkJs98+cOQNAUFCQX395CA4O9uvy+ZuCWVnz88ZrlOJF8j03ODj40v3168GJL3TBmzbBoEElf/3ith8UbPd3WTwf9T7yfzpG/k/H6JKgINd+m1yzZg0vvfQSW7Zs4ejRoyxcuNBuBvXbbruNTz75xO45AwcOZNmyZe4ortMsFgsDBgxgwIABXn3diqpq3iBVYqNMzJWHXByGKK5i8A/e4iUeojIZnKQWf+Nd5jPK6W2Wh1w8Qbk4UibmlIu5MA+Nh+7SbKSVKlWiS5cuJCYm2pbl5uaSmJhITEyM6XNiYmLs1gdr15S89Zs1a0Z4eLjdOmfOnGHjxo22dbp06UJISAi//PKLbZ2srCz279/PZZdd5souiPivo0edW+9i92oREfFP6enpdOzYkbfeeqvQdWJjYzl69KjtNmfOHC+W0CoxMZFHH32Uv/71r9xxxx12N3G/jRs3+roIfkeZmCtvuVhSU2DQIN7kPiqTQWafAbTnB+YzitRUa2VcWlrx2ylvubiLcnGkTMwpF3ObN2/2yHZd7kY6ceJEbr31Vrp27Uq3bt2YOXMm6enp3H777QDccsstREREMHXqVADuv/9+rr76al555RWuu+465s6dy+bNm23TuVssFiZMmMBzzz1Hy5YtadasGU888QSNGjWy/QpcvXp1/va3vzFlyhQaN27MZZddxksvvQTAyHzTQYuUafladhapkFakIiLiHwYNGsSgYlogh4SEFNorwBuefvppnnnmGbp27UrDhg2xWAoOYCAi4jrbuGwX/x3EUkK73QYn/sAIDcUyfTrZt/2DI9WtbT7CwnD7EDAiIv7A5cq20aNH88cff/Dkk0/aZgVdtmyZbYKDgwcPEhBwqcFc9+7dmT17No8//jiPPvooLVu2ZNGiRXaziE6aNIn09HTuuusuTp06Rc+ePVm2bBmh+QaBf+mllwgKCuLmm2/m/PnzREdHs3LlSmrVqlWa/RfxH716QWSktSupYRS+Xo8e3iuTiIjYnD171jYsBTgOWeGK1atXU79+fWrVqsU111zDc889R51CZuDzhHfffZePP/6Ym2++2WuvWdENHDjQ10XwO8rEXFnOJa+XWggZvMojTOA1OAE76MDYjDnsvi8K0oveRmHKci6epFwcKRNzysVcv379PLJdl7qR5rn33ns5cOAAmZmZbNy4kejoaNtjq1ev5uOPP7Zbf+TIkfzyyy9kZmaya9cuBg8ebPe4xWLhmWeeISUlhYyMDFasWEGrVq3s1gkODubll18mNTWVM2fOsHz5cg3wJ+VLYCC89pr174ItDPLfDwz0XplERMQmKiqKGjVq2G55rfhdFRsby6xZs0hMTGTatGl8++23DBo0iJwc986mXZQLFy7QvXt3r72ewK5du3xdBL+jTMyV9VzaspuNRFsr2oDX+CfRbOQnrONvh4VZf1c2DNdatZX1XDxFuThSJuaUi7mffvrJI9stE7ORilQY8fGwYAH885/2kyVERMDhw74rl4iIsHv3brsZzUvaqm3MmEtT7rVv354OHTrQokULVq9e7bFfVwv661//yuzZs3niiSe88npSPme1LS1lYq4s55Lx3idUeuDvWM6d4xj1uJ2P+Cj1Ov7qhq6iZTkXT1IujpSJOeVi7siRIx7ZrirbRPxNfDz07w81aljvL11q7Tqad19ERHyiWrVqVK9e3e3bbd68OXXr1uW3337zWmVbRkYG77//PitWrKBDhw4OM8/OmDHDK+WoSDw121lZpkzMlZVc7GYcPXaOsEfuI+TDDwHI6dOPjqv/QwoN3TYuW1nJxduUiyNlYk65mPNULqpsE/FH+buK9u7tu3KIiIjHHT58mBMnTtDQ2Yly3GDnzp1ceeWVgGO3Ek2W4BlDhgzxdRH8jjIxV9Zyac3PVO4zEnbvsg598tRTZEx4jJQa7h36pKzl4i3KxZEyMadczMXGxnpkuyUas01EREREzKWlpbF9+3a2b98OwL59+9i+fTsHDx4kLS2Nhx56iO+++479+/eTmJhIXFwcl19+uVcHLl61alWht5UrV3qtHBXJvHnzfF0Ev6NMzPl7Lunpl2438imb6UrA7l0Y9epz/n/L4cknCaseWKJx2Yri77n4inJxpEzMKRdzn3/+uUe2q8o2ERERETfavHkznTp1olOnTgBMnDiRTp068eSTTxIYGMjOnTu5/vrradWqFePHj6dLly6sXbu2xGPAlcZvv/3G119/zfnz5wEwipoNW0QEa9fRBlXT+KrBrXzKTVQlnVX0odEf26ky1Dtd4UVE/J26kYqIiIi4UZ8+fYqstPr666+9WBpzJ06cYNSoUaxatQqLxcKePXto3rw548ePp1atWrzyyiu+LmK507p1a18Xwe8oE3P+lovd2Gxp0ImtzGUMrdhDDgE8x+M8w5Pk4t5uowX5Wy7+Qrk4UibmlIu5li1bemS7atkmIiIiUsE88MADBAcHc/DgQapUqWJbPnr0aJYtW+bDkpVfdevW9XUR/I4yMee/uRgEvfkqW4L/Yq1oaxRJX1bxFE9zNDWQtDRrZZyn+G8uvqVcHCkTc8rFXJ06dTyyXVW2iYiIiFQw33zzDdOmTSMyMtJuecuWLTlw4ICPSlW+rV+/3tdF8DvKxJy/5JJ/bLZ6HONLriPkkYlYsrLIHjqcjO92sBbrRF55M456crJDf8nF3ygXR8rEnHIx991333lku6psExEREalg0tPT7Vq05Tl58qRPxo4TEf9Ttar1Nq7BcnbSgcF8xXlCuYe3Cf7ic6hd29dFFBHxW6psExEREalgevXqxaxZs2z3LRYLubm5TJ8+nb59+/qwZOVX//79fV0Ev6NMzPlLLsFc4EUeZjkDCCeVXVzBVXzPu9wDWAgLw+0zjhbFX3LxN8rFkTIxp1zMeeq6RxMkiIiIiFQw06dPp1+/fmzevJkLFy4wadIkfvzxR06ePKluJh7y66+/Uq9ePV8Xw68oE3N+kcvevZzvMpbALd8D8A5/41+8wv7UKl6pWDPjF7n4IeXiSJmYUy7mfvvtN49sVy3bRERERCqYdu3a8euvv9KzZ0/i4uJIT08nPj6ebdu20aJFC18Xr1w6ePCgr4vgd5SJOZ/n8umn0KmTtaKtVi0yZifwd97hPFW8MjZbYXyei59SLo6UiTnlYu7QoUMe2a5atomIiIhUIFlZWcTGxvLuu+/y2GOP+bo4FYbGwnOkTMz5LJezZ+HeeyGvi3mvXvDpp+TUbuyb8hSg88WccnGkTMwpF3OeykWVbeJbOTmwdi0cPQoNG1r/Uw8M9HWppKR0PEVE/F5wcDA7d+70dTEqnPj4eF8Xwe8oE3M+yWXLFhg7FvbsgYAAmDIFHnsMAgMJwzoum6/pfDGnXBwpE3PKxdz111/vke2qG6n4TkICNG0KffvCjTda/23a1Lpcyh4dTxGRMuOmm27i3//+t6+LUaHMmzfP10XwO8rEnKdzSU8Hi8V6Sz+bCzNmQEyMtaKtcWP49lt48km/+8FU54s55eJImZhTLuY+//xzj2xXLdvENxISYMQIx5/JkpOtyxcsANW8lx06niIiZUp2djYffvghK1asoEuXLoQVGIBpxowZPipZ+ZWbm+vrIvgdZWLOW7nUJ5WQG26D5cusC+Lj4YMPoFYtr7y+q3S+mFMujpSJOeVizlO5qLJNvC8nB+6/37w9umFYf2abMAHi4vzuFzUxoeMpIlLm7Nq1i86dOwPW2cnys1gsvihSuaeJJxwpE3OeyiU9/dK/1/INs7iFoOWpGKGhXJg2k5D77rJet/kpnS/mlIsjZWJOuZhr1qyZR7aryjbxvrVr4fDhwh83DDh0yLpenz5eK5aUkI6niEiZs2rVKl8XocKJiIjwdRH8jjIx56lcqlaFYC7wHI/zDS8B8APtGJMxl933X4HxT4+8rNvofDGnXBwpE3PKxVyjRo08sl2N2Sbed/Soe9cT39LxFBEps3777Te+/vprzp8/D4DhD6Ogl1Nr1qzxdRH8jjIx56lcWvAb6+nBpIsVbW/xd7qxid1c4ZHXczedL+aUiyNlYk65mFu/fr1HtqvKNvG+hg3du574lo6niEiZc+LECfr160erVq0YPHgwRy/+IDJ+/Hj+9a9/+bh0IuJ2//0ve6p24io2k1uzFsNJ4F7e4kBqZdLSIC3N1wUUESlfVNkm3terF0RGFj4mhMVinQmpVy/vlktKRsdTRKTMeeCBBwgODubgwYNUqVLFtnz06NEsW7bMhyUrv/poKAUHysScW3M5exZuuQVuvhlLWhr06kXGdztYxHAAwsIu3fydzhdzysWRMjGnXMz18tD3VFW2ifcFBsJrr1n/LlhBk3d/5kwNpl9W6HiKiJQ533zzDdOmTSMyMtJuecuWLTlw4ICPSlW+HTx40NdF8DvKxJzbctm8GTp1gv/8BwIC4OmnYdUqjMjG7tm+l+l8MadcHCkTc8rF3OGixh8vBVW2iW/Ex8OCBVBwMMLISOvy+HjflEtKRsdTRKRMSU9Pt2vRlufkyZOEhIT4oETl3++//+7rIvgdZWKu1Lnk5sLLL0NMDOzda+1h8O238OSTEBhIWJh1/irDKBst2vLofDGnXBwpE3PKxdy+ffs8sl1VtonvxMfD7t2X7i9dCvv2qWKmrNLxFBEpM3r16sWsWbNs9y0WC7m5uUyfPp2+ffv6sGTlV1BQkK+L4HeUiTlXcklPt3YksFisf5OSAoMGwUMPQXY23HAD7NgBPXt6rsBeovPFnHJxpEzMKRdznspFaYtv5e9a2Lu3Z7oa5uTA2rXW2TAbNrSOHaYujZ7hjeMpIiKlNn36dPr168fmzZu5cOECkyZN4scff+TkyZMem5Wrohs5cqSvi+B3lIm5kuYSuOJruOsWOHYMKle2DuNx552Fj6tbxuh8MadcHCkTc8rF3PDhw7ntttvcvl21bJPyLSEBmjaFvn3hxhut/zZtal0uIiJSQbVr145ff/2Vnj17EhcXR3p6OvHx8Wzbto0WLVr4unjl0ueff+7rIvgdZWLOmVzS0y/dgrnAdB4idFgsHDtG7hXtreO13XVXualoA50vhVEujpSJOeVibvHixR7Zrlq2SfmVkAAjRlgHpMgvOdm6XGOJiYhIBRIfH8/HH39M9erVmTVrFqNHj+axxx7zdbEqjAsXLvi6CH5HmZhzJpeqVa3/Nmcv6xhLN74H4C3+zoM/vsz5qMqeLKJP6Hwxp1wcKRNzysWcp3JRyzYpn3Jy4P77HSva4NKyCROs64mIiFQAS5YsIT09HYDbb7+d06dP+7hEFctll13m6yL4HWViztlcbuRTttGJbnzPSWoxjIXcy1tkUP4q2kDnS2GUiyNlYk65mGvSpIlHtquWbVI+rV0LRU3haxhw6JB1vT59vFYsERERX2nTpg2TJ0+mb9++GIbBZ599RvXq1U3XveWWW7xcuvJP3XMdKRNzxeaSlsaFm+4j+L8fA7CGXozjU7akNubTMjS7qKt0vphTLo6UiTnlYq5Zs2Ye2a5atkn5dPSoe9cTEREp4959911+/vlnHnzwQSwWC48//jj333+/w23ChAm+Lmq5tHLlSl8Xwe8oE3NF5rJ9O3Ttaq1oCwjgwuQpXMNKDtOYsDBst/JI54s55eJImZhTLua+/fZbj2xXLdvEp3JyIG++yjVroMcAN01g2bChe9cTEREp47p37853330HQEBAAL/++iv169f3calExCmGAW+9Bf/6F1y4ABERMHs2WV16kzPV14UTEZGC1LJNfCYhAdq2vXR/0GA3ThTaqxdERhY+A5PFAo0bW9cTERGpYPbt20e9evV8XYwKpWfPnr4ugt9RJuYccjlxAoYPh/vus1a0DR0KO3ZA796EhVnr4Qyj/LZoy6PzxZxycaRMzCkXczExMR7ZrirbxCfyJgpNPmK/PG+i0FJXuAUGwmuvWf8uWOGWd3/mTDc1oxMRESlbLrvsMtatW8dNN91ETEwMycnJAPznP/9h3bp1Tm8nJyeHJ554gmbNmlG5cmVatGjBs88+i5FvgqLbbrsNi8Vid4uNjbXbzsmTJxk3bhzVq1enZs2ajB8/nrS0NPfsrJ84duyYr4vgd5SJObtc1q6FK6+ExYuhUiXr9e3ixVCnjs/K5ys6X8wpF0fKxJxyMffHH394ZLuqbBOv89pEofHxsGABNGpkvzwy0ro8Pr6ULyAiIlI2ff755wwcOJDKlSuzbds2MjMzATh9+jQvvPCC09uZNm0a77zzDm+++SY//fQT06ZNY/r06bzxxht268XGxnL06FHbbc6cOXaPjxs3jh9//JHly5ezZMkS1qxZw1133VX6HfUjv/76q6+L4HeUySXp6dbfgy0W+OmnX60Xws88Y53I6/BhaNkSkpLgn/8svOdGOafzxZxycaRMzCkXc7/99ptHtqvKNvE6VyYKLbX4eNi9+9L9pUth3z5VtImISIX23HPP8e677/J///d/BAcH25b36NGDrVu3Or2dDRs2EBcXx3XXXUfTpk0ZMWIEAwYMYNOmTXbrhYSEEB4ebrvVqlXL9thPP/3EsmXL+OCDD4iOjqZnz5688cYbzJ07lyNHjhR8SZFyr8rJE9CvH0yZArm5cMstsGULdO7s66KJiIiTVNkmXuf1iULzdxXt3VtdR0VEpML75Zdf6N27t8PyGjVqcOrUKae30717dxITE22/lu/YsYN169YxaNAgu/VWr15N/fr1ad26Nffccw8nTpywPZaUlETNmjXp2rWrbVn//v0JCAhg48aNpq+bmZnJmTNn7G7+buzYsb4ugt9RJtYWbXk3gCF8wbCnn4Jvv8WoWhX+8x/45BOoVs2n5fQHOl/MKRdHysSccjE3cuRIj2xXs5GK12miUBEREd8KDw/nt99+o2nTpnbL161bR/PmzZ3eziOPPMKZM2do06YNgYGB5OTk8PzzzzNu3DjbOrGxscTHx9OsWTP27t3Lo48+yqBBg0hKSiIwMJCUlBSHWVGDgoKoXbs2KSkppq87depUnn76aYfl8+fPp0qVKsTHx5OYmMjp06epX78+3bp1Y8mSJQB07tyZ3Nxctm/fDkBcXBzr1q3jxIkT1K5dm969e7No0SIAOnToQHBwMFu2bAHguuuuY/PmzaSmplK9enUGDBjAggULALjiiiuoWrWqrYJw4MCB7Nq1i+TkZMLCwsjNzeX8+fMAtG7dmrp167J+/XrAWrn466+/cvDgQUJCQoiPj2fevHnk5ubSokULIiIiWLNmDQB9+vTh4MGD/P777wQFBTFy5Eg+//xzLly4wGWXXUaLFi1YuXIlYB0M+9ixY7bK0LFjx7J48WLOnTtHZGQkUVFRfPPNN4B1gOjTp0+z+2KPgJEjR7Js2TLOnj1LeHg4nTt3ZunSpQBcddVVZGRk8MMPPwAwfPhwVq9ezZ9//kndunWJiYnhiy++AKBTp04AbNu2DYChQ4eSlJTE8ePHOXnyJOPHj2fhwoUAtG/fntDQUL7//nsABg8ezNatW0lJSaFatWrExsYyf/58AKKioqhRowZJSUkADBgwgN27d3P48GGqVKlCXFycrbtyq1atqF+/vm08wmuuuYa9e/dy4MABKlWqxA033MD8+fPJzs6mefPmNGnShNWrVwPQu3dvkpOT2bt3LwEBAYwePZqEhAQyMzNp0qQJrVq1YsWKFYC1Zejx48f55ZdfABg9ejRLliwhPT2diIgI2rVrx9dffw1AdHQ0aWlpvPjijwB8MX8I/7vsRoYeWAInYVvAlfynz81cFRhIl19/JSsri507dwIwbNgw1qxZw8mTJ6lTpw49e/Zk8eLFAFx55ZUEBATYWqgOGTKETZs2cezYMWrUqEG/fv1IuDg4crt27ahSpYqtJeqgQYPYsWMHR44coWrVqgwePJjPPvsMgDZt2lC7dm02bNgAwLXXXsvPP//MoUOHqFy5MsOGDWPu3LkYhkHLli0JDw9n7cVuKn379mX//v3s27eP4OBgRowYwYIFC8jKyqJZs2Y0bdqUVatWAdCrVy9SUlLYs2cPFouFMWPGsGjRIs6fP8/Zs2eJj49n+fLlgLWy/+TJk/z8888AjBo1iqVLl5KWlkajRo3o2LEjX331FQDdunXj3Llz7Nq1C8AvPyOGDBnCvHnzANc+I9LT0xk0aFC5/IyoVasWffr0cfkzIiUlhWuuuaZcfEb8+KP1M2LEiBF88803nDlzhgYNGtC1a1e+/PJLALp06eLUZ0RKSgqxsbHl9jOicePGtGnTxuXPiP379+MRRgVx6NAhAzAOHTrk66KYunDhgrFo0SLjwoULvi6Kx2VnG0ZkpGFYLIZRhbS8CZSMKqQZYF3euLF1veKkpdo/Py3NbKVL65iv4PxrzP94fumPkTPlKbhOKffBpeL9nmp7rbTfU118svfKaaYivY/KKh0j/6dj5MjfryFK4oUXXjCioqKM7777zqhWrZqxdu1a47///a9Rr1494/XXX3d6O3PmzDEiIyONOXPmGDt37jRmzZpl1K5d2/j4448Lfc7evXsNwFixYoVhGIbx/PPPG61atXJYr169esbbb79tuo2MjAzj9OnTtlveMTp9+rTTZfe22bNn+7oIfkeZWC+Z2vKjsYP2tmuoL9pcZ1Qiw6g439Sco/PFnHJxpEzMKRdzH3zwgUeuIdSyTbwub6LQESOg4PCumihURETE8x555BFyc3Pp168f586do3fv3oSEhPDggw9y3333Ob2dhx56iEceeYQxY8YA1lYHBw4cYOrUqdx6662mz2nevDl169blt99+o1+/foSHhzvMkJadnc3JkycJDw833UZISAghISFOl9MfREZG+roIfqfCZ2IYZLz+f1R6eAKW8+dJpT638gkTXg3jZK+ydX57Q4U/XwqhXBwpE3PKxVxERIRHtqsx28Qn8iYKLdhVVBOFioiIeJ7FYuGxxx7j5MmT7Nq1i++++44//viDZ5991tbV0Rnnzp0jIMD+cjIwMJDc3NxCn3P48GFOnDhBw4sXATExMZw6dcrWDQtg5cqV5ObmEh0d7eKe+a+oqChfF8HvVKRM8s82mp4OnDwJI0YQ8s+7sZw/T3b/gXRgJ18TS7t2UYSFQViYr0vtXyrS+eIK5eJImZhTLubatGnjke2qsk18Jj7eOrFSnoUJmihURETEmypVqkRUVBTdunUjODiYGTNm0KxZM6efP3ToUJ5//nm+/PJL9u/fz8KFC5kxYwbDhw8HIC0tjYceeojvvvuO/fv3k5iYSFxcHJdffjkDBw4EoG3btsTGxnLnnXeyadMm1q9fz7333suYMWNo1KiRR/bbF/LGPZJLKmomAWu/hY4dISEBgoPhpZfITFjKMRoAsHp1xcylOBX1fCmOcnGkTMwpF3OJiYke2W6JKtveeustmjZtSmhoKNHR0Q7Tuxc0f/582rRpQ2hoKO3bt7cNnJjHMAyefPJJGjZsSOXKlenfvz979uwx3VZmZiZXXnklFovFNmillF35u4r26KGuoyIiIp6UmZnJ5MmT6dq1K927d7cN8v3RRx/RrFkzXn31VR544AGnt/fGG28wYsQI/v73v9O2bVsefPBB7r77bp599lnA2spt586dXH/99bRq1Yrx48fTpUsX1q5da9cN9NNPP6VNmzb069ePwYMH07NnT95//3237ruIL+SfbTSQbJ7hCUIH94XDh8m9vCUkJcGDDxJWLYC8Qdt0PSwiUva5PGbbvHnzmDhxIu+++y7R0dHMnDmTgQMH8ssvvzjMJAWwYcMGxo4dy9SpUxkyZAizZ89m2LBhbN26lXbt2gEwffp0Xn/9dT755BOaNWvGE088wcCBA9m9ezehoaF225s0aRKNGjVix44dJdxlERERkYrpySef5L333qN///5s2LCBkSNHcvvtt/Pdd98xY8YMRo4cSaAL3/SrVavGzJkzmTlzpunjlStXts2sVpTatWsze/Zsp1+3LIqJifF1EfxORcikalXrv5exnzXcSHeSwIAPuZ1//vY6aV2qOjynIuRSEsrFnHJxpEzMKRdz3bp188h2XW7ZNmPGDO68805uv/12oqKiePfdd6lSpQoffvih6fqvvfYasbGxPPTQQ7Rt25Znn32Wzp078+abbwLWVm0zZ87k8ccfJy4ujg4dOjBr1iyOHDli+7U1z1dffcU333zDyy+/7PqeioiIiFRw8+fPZ9asWSxYsIBvvvmGnJwcsrOz2bFjB2PGjHGpok1cc/r0aV8Xwe9UlExGMJ/tXEl3kjhNdUYzl/F8SDqOFW1QcXJxlXIxp1wcKRNzysXcmTNnPLJdl1q2XbhwgS1btjB58mTbsoCAAPr3709SUpLpc5KSkpg4caLdsoEDB9oq0vbt20dKSgr9+/e3PV6jRg2io6NJSkqyzW6VmprKnXfeyaJFi6hSpUqxZc3MzCQzM9N2/+zZs4B1dqusrCzndtiL8srkj2XzpPz7m5WV5fL+F1zfug2HlQjOv74bXqNUnClPwXWgVPvgUvGys+z+dml/S5l1aVXU91FZomPk/3SMHGVnZ/u6CG5z+PBhunTpAkC7du0ICQnhgQcewGIpOD+4uNvu3bvp2LGjr4vhV8p9JufOceG2CQR//H8AJPEXxjKHTalN+bCIyQ/KfS4lpFzMKRdHysSccjH3888/e2S7LlW2HT9+nJycHBo0aGC3vEGDBoUWMCUlxXT9lJQU2+N5ywpbxzAMbrvtNv72t7/RtWtX9u/fX2xZp06dytNPP+2wPDExkbp16xb7fF9Zvny5r4vgVVmnshhx8e8VK1YQXDO4yPWLej7A119/TWhojt06gRkZDMn3eE6BrsmuvkZpj5Ez5Sm4DlCqfXBFbupZhl/8e9WqVQQ0qOb0c0ubtbtUtPdRWaRj5P90jC45fvy4S+uvWbOGl156iS1btnD06FEWLlzIsGHDbI8bhsGUKVP4v//7P06dOkWPHj145513aNmypZtL7ignJ4dKlSrZ7gcFBVG1qnnrGhEphR9+gDFjCN69GywWLvzrEXq//DTZBGumURGRCsDlMdt84Y033uDs2bN2LeqKM3nyZLsWdcnJyURFRdGvXz8iIiI8UcxSycrKYvny5Vx77bUEB7tW4VSWpR9Lt/3dv39/wuq7duWR//lgbTXpcPGSnm73uKtXNwVfo9THyJnyFFwnn5Lsg0vF23/M9nffvn0Ja+o4FmPhTy5d1qVVUd9HZYmOkf/TMXKUnJzs0vrp6el07NiRO+64g3iTKbZdGavW3fJ+wMybnCAjI4O//e1vhBX4vE5ISPBoOSqikSNH+roIfqdcZmIY8N578MADkJEB4eHw3/+S9Zd+ZDs5Ek65zMUNlIs55eJImZhTLuaGDx/OX//6V7dv16XKtrp16xIYGEhqaqrd8tTUVMLDw02fEx4eXuT6ef+mpqbSsGFDu3WuvPJKAFauXElSUpLdrFUAXbt2Zdy4cXzyyScOrxsSEmK3fl4/3KCgIL/+8hAcHOzX5XO3/Ptakn0vuL51Gw4r2a/vltcoxTFypjwF18ln4cJg6jcLplcvz8xWFRwUbPe3S/tayqzdpaK9j8oiHSP/p2N0SVCQa79NDho0iEGDBpk+VnCsWoBZs2bRoEEDFi1aZBs+w1NuvfVWu/s33XSTR19PLlm2bBlDhgwpfsUKpNxl8uefcOed8Pnn1vuDBsHHH0P9+oRhrYdzRrnLxU2Uiznl4kiZmFMu5lasWOGR7bp09VipUiW6dOlCYmKirTtEbm4uiYmJ3HvvvabPiYmJITExkQkTJtiWLV++3DYTRrNmzQgPDycxMdFWuXbmzBk2btzIPffcA8Drr7/Oc889Z3v+kSNHGDhwIPPmzSM6OtqVXRApkxYvhriLf99+B5wDIiPhtdfApNGEiIh4wNmzZ+0G0S34w54znB2r1lM++ugjj25fCpc3frBcUq4yWb8ebrwRDh60/tj44oswYQIEuDwfXfnKxY2Uiznl4kiZmFMu5jyVi8vdSCdOnMitt95K165d6datGzNnziQ9PZ3bb78dgFtuuYWIiAimTp0KwP3338/VV1/NK6+8wnXXXcfcuXPZvHkz77//PgAWi4UJEybw3HPP0bJlS1t3ikaNGtkq9Jo0aWJXhryxRVq0aEFkZGSJd16kLFi8GMaNg7QCy5OTYcQIWLBAFW4iIt4QFRVld3/KlCk89dRTLm3DmbFqpXwqrBdIRVZWM0lPh7yhDtNO5xD2xoswZQrk5ECLFjB3LnTtWuLtl9VcPE25mFMujpSJOeViruA1mbu4XNk2evRo/vjjD5588klSUlK48sorWbZsma2ABw8eJCDfLzjdu3dn9uzZPP744zz66KO0bNmSRYsW0a5dO9s6kyZNIj09nbvuuotTp07Rs2dPli1b5vFxS0TKgoceArNeB4YBFov1R9O4OM90KRURkUt2795tN+6rq63apGLr3Lmzr4vgd8p6JhEcJnTIzbB2tXXBuHHw9ttQvXqptlvWc/EU5WJOuThSJuaUizlPzdDqertm4N577+XAgQNkZmayceNGu66cq1ev5uOPP7Zbf+TIkfzyyy9kZmaya9cuBg8ebPe4xWLhmWeeISUlhYyMDFasWEGrVq0Kff2mTZtiGIat26lIeZZ8pPDHDAMOHYK1a71XHhGRiqpatWpUr17dditJZVv+sWrzK2r8Wykfli5d6usi+J2ylkl6+qXbMBaykw4Erl2NERZG5nsfw3/+U+qKNih7uXiLcjGnXBwpE3PKxdw333zjke2WqLJNRPzL0aO+LoGIiDgj/1i1efLGqs0bz1ZE/FPVqlCv6jk+b3APC4mnNn+ymS60St9G6N23WrsciIiIUIJupCLif/JN5CsiIj6WlpbGb7/9Zru/b98+tm/fTu3atWnSpEmxY9VK+XTVVVf5ugh+p6xl0pHtzOZGovgJgOk8xOM8RxaV3Po6ZS0Xb1Eu5pSLI2ViTrmY81T3WlW2ifi52rXg5J/mj1ks1llJe/XybplERKRwmzdvpm/fvrb7EydOBODWW2/l448/1li1FVRGRoavi+B3ykwmubkwYwbbgh/FkpVFTv1wYo/NYgXXkpoKYWHufbkyk4uXKRdzysWRMjGnXMxlZmZ6ZLvqRirihxYvvvR3URVtADNnanIEERF/0qdPHwzDcLjljWnr6li1Uj788MMPvi6C3ykTmRw+DNdeCw89hCUrC+LiyNj0Ayu4FrBWtOXd3KVM5OIDysWccnGkTMwpF3M//vijR7aryjYRP5OQYJ3MqjiRkbBgAcTHe75MIiIiIhXO559Dhw6wciVUqQLvvw8LF0Ldur4umYiI+Dl1IxXxIzk5cP/9YBSz3pIlEBurFm0VWk6OdRrao0etg/b16qUTQkTEjw0fPtzXRfA7/pJJerp18gOAtDQIM9KsF2Qffmhd2LUrfPopXGyBGhZmnRHeU/wlF3+jXMwpF0fKxJxyMTd06FCPbFct26Tcy8m59PeaNfb3/c3atdbeCsUJCFC9SoWWkABNm0LfvnDjjdZ/mza1LhcREb+0evVqXxfB7/hjJgFbvodOnawVbRYLTJ4M69fbKtq8wR9z8QfKxZxycaRMzCkXc2vXrvXIdlXZJuVaQgK0bXvp/qDB/l0ncfSoc+ulpHi2HOLHEhJgxAjHWtnkZOtyfz25RUQquD//LGQQ1grM15mkp1+6BZDDI0wltF93+O03ciMiYdUqeOEFqOTe2UaL4+tc/JVyMadcHCkTc8rF3KlTpzyyXVW2SbmVVyeRfMR+uT/XSTRs6Nx64eGeLYf4KVs/Y5O+K3nLJkzw7+abIiIVVF2N8+XA15lUrWq9XdngCMu5lqk8iiU7m88YSZ3knXD11T4pl69z8VfKxZxycaRMzCkXc3Xq1PHIdlXZJuVSWa2T6NXLOvGBpZj1evTwSnHE3xTXz9gw4NAh63oiIuJXYmJifF0Ev+MPmVzHEnbSgWtYRRph3M6HjGYep6jlszL5Qy7+SLmYUy6OlIk55WKuW7duHtmuKtukXCqrdRKBgfDaa86tJxWQs/2MnV1PRES85osvvvB1EfyOTzPJzOTC3yewhKHU5QRb6UQXtjAt9XbS0iykpfmuaDpXzCkXc8rFkTIxp1zMffXVVx7ZrirbpFwqy3US8fHWCa9EHDjbz9jZ9URERCqiPXuge3eC37b+wpn19/uJIYlfaU1YGLabiIhISamyTcqlsl4nERdnf3+hH44vJz5g62dcSEdjiwUaN7auJyIifqVTp06+LoLf8Ukms2dD586wdSvUqQNffMGF6TO5QIj3y1IInSvmlIs55eJImZhTLuY6duzoke2qsk08KycHVq+GOXOs/3ppkLTyViehMdoEsO9nXPDkzrs/c6b6GTvDR59NIiLiI+fOwV//CuPGQVoa9O4N27fDkCGEhVmHGDEMtWgTERH3UGWbeE5CAjRtCn37wo03Wv9t2tQr04Da1UkUeEx1ElKmxcfDggXQqJH98shI6/L4eN+Uqyzx4WeTiFRc27Zt83UR/I7XMvnxR7jqKvj3v60Xgk8+CYmJ1v87/ZDOFXPKxZxycaRMzCkXczt27PDIdlXZJp6RkAAjRjjOUpCcbF3uhS+1eXUSBbuKqk5Cyrz4eNi9+9L9pUth3z6d1M7wg88mERHxEsOADz+0VrTt3g3h4bBiBTz9NAQF+bp0IiJSjqmyTdwvJwfuv996gVNQ3rIJE7zSbSs+HrZsuXR/YYLqJKScyN8ss3dvNdN0hh99NolIxTN06FBfF8HveDSTs2fh5pth/Hg4fx4GDIAdO+Caazz3mm6ic8WccjGnXBwpE3PKxdygQYM8sl1Vton7rV3r2GokP8OAQ4es63lB/jqIHj1UJyFSYfnZZ5OIVCxJSUm+LoLf8VgmO3ZA167W6d0DA2HqVPjqK6hf3zOv52Y6V8wpF3PKxZEyMadczG3atMkj21X76YooJ8f6ZfLoUWsfy1693FsDdfSo8+tFue9lxc/kDUDvqfNMxFWufDaJiLjZ8ePHfV0Ev+P2TAwD3n/f2oo5M9M6dsicOdCzp3tfx8N0rphTLuaUiyNlYk65mDtx4oRHtqvKtoomIcF6AZK/dUdkpHU2AXf1rSw4SFpp15OyKSrKOg5WHnefZyKu0meTiPhQrVq1fF0Ev+PWTE6fhjvvhPnzrfevuw4+/hjq1nXfa3iJzhVzysWccnGkTMwpF3M1a9b0yHbVjbS8yGtFNGeO9V+zMYe8NTB4r17WihVLwXlAL7JYoHFj63pSfuWvaMu7rwHoxZf02SQiPtSnTx9fF8HvuC2T77+Hzp2tFW1BQfDSS/C//5XJijbQuVIY5WJOuThSJuaUi7leHrr2V2VbeZCQAE2bQt++cOON1n+bNrWv1PDmwOCBgdYWTOD4pTbv/syZ6lJYHhV1/mgAevE1fTaJiA8tXLjQ10XwOyXJJD3d+pFtsUB6mgGvvmodlPf3363Xv+vWwYMPQkDZ/Zqjc8WccjGnXBwpE3PKxdwXX3zhke2W3f+FxMrZ1mreHhg8Ph4WLIBGjeyXR0Zal6srYfm0fn3Rj2sAevE1fTaJiJQLdThOyKjrYeJEyMqCG26AbdsgOtrXRRMREVFlW5nmSms1XwwMHh8Pu3dfur90Kezbpy+z5VlKinPraQB68SV9NomID7Rv397XRfA7rmSSnn7p1odV7KAjQV8twahUicwZb1m7kHpo3B1v07liTrmYUy6OlIk55WLuiiuu8Mh2VdlWlrnSWs1XA4Pn747Vu7e6Z5V34eHOracB6MXX9NkkIl4WGhrq6yL4HVcyqVoValTN5r0GT5BIPyI4wk+04coLmwid+PfCx+Msg3SumFMu5pSLI2ViTrmYCwkJ8ch2VdlWlrnSWk0Dg4s39OhR9OM6z0REpIL6/vvvfV0Ev+NKJk04wGr68ATPEYDBB4ynK5vZSUcPltA3dK6YUy7mlIsjZWJOuZjbunWrR7aryrayzJXWahoYXLwh//mj80xERETcYf589tfoSE/Wk1utOqOZy518wL7UMNLSIC3N1wUUERGxp8q2sszV1moaGLz8ycmB1athzhzrv/40y2fBLqU6z0REpAIbPHiwr4vgd4rNJD0d/vpXGDUKy+nTEB1NxoZtfMZoAMLCLt3KE50r5pSLOeXiSJmYUy7mBgwY4JHtqrKtLCtJazUNDF5+JCRYp7jv2xduvNH6b9Oml2ag9bUtWy79rfNMREQqOE91UynLisxk61bo3Bn+/W/rde1jj8HatRjNmnuvgD6ic8WccjGnXBwpE3PKxdyOHTs8sl1VtpV1JWmtpoHBy7zAxQkwYoTjBBnJydbl/lDhpvNMRETEJsXZGbsrkLxM0tOt9WkWC6SfzYVXX4W//AV+/RUiImDlSnjuOQgOJizMOgeYYZS/Fm15dK6YUy7mlIsjZWJOuZhLTU31yHZV2VYeqLVahRJADpUm3W+9yiwob9mECf7VpVRERKSCq1atmq+L4HcKZlKfVEJuuA4mToSsLBg2DHbsgD59fFI+X9G5Yk65mFMujpSJOeVizlO5qLKtvFArIo/JX2f100+1fV6H1YP1BCQfLnwFw4BDh2DtWu8VSkREKqScnByeeOIJmjVrRuXKlWnRogXPPvssxsUff7Kysnj44Ydp3749YWFhNGrUiFtuuYUjR47Ybadp06ZYLBa724svvuiLXfKY2NhYXxfB7/TqFUt6urVl2wC+ZgcdCVq+DCM0lMyZ71hb6tep4+tiep3OFXPKxZxycaRMzCkXc/379/fIdlXZJlKEhATo0uXS/RenRXP55UE+7aUZjpPNf48e9WxBRESkwps2bRrvvPMOb775Jj/99BPTpk1j+vTpvPHGGwCcO3eOrVu38sQTT7B161YSEhL45ZdfuP766x229cwzz3D06FHb7b777vP27njU/PnzfV0Ev3PPPfOpVfUCsxo8yNfEEk4qP9COdhmbCZ3wt8InASvndK6YUy7mlIsjZWJOuZhbuHChR7Yb5JGtipQDCReHRatcoLfmkSPW5b6aWDOF8OJXAmjY0LMFERGRCm/Dhg3ExcVx3XXXAdYWanPmzGHTpk0A1KhRg+XLl9s9580336Rbt24cPHiQJk2a2JZXq1aN8IIzWUu5Fn7mKEnE0AXroN1v8g8e4iUyqOzjkomIiJSOWraJmMjJgfsLHRbN+iurr4ZFW08PciMiC/+112KBxo2hVy/vFkxERCqc7t27k5iYyK+//gpYZ/Rat24dgwYNKvQ5p0+fxmKxULNmTbvlL774InXq1KFTp0689NJLZGdnF7qNzMxMzpw5Y3fzd1FRUb4ugv8wDPj4Y15a+Thd2EpurdrEsYj7eJMDqZVJS4O0NF8X0nd0rphTLuaUiyNlYk65mGvTpo1HtquWbSIm1q51nOgzv/zDonl7zN5cArkw/TVCbxphrVjLXyOYVwE3c6bG7RMREY975JFHOHPmDG3atCEwMJCcnByef/55xo0bZ7p+RkYGDz/8MGPHjqV69eq25f/85z/p3LkztWvXZsOGDUyePJmjR48yY8YM0+1MnTqVp59+2mH5/PnzqVKlCvHx8SQmJnL69Gnq169Pt27dWLJkCQCdO3cmNzeX7du3AxAXF8e6des4ceIEtWvXpnfv3ixatAiADh06EBwczJYtWwC47rrr2Lx5M6mpqVSvXp0BAwawYMECAK644gqqVq3Kxo0bARg4cCC7du0iOTmZsLAw2rVrx5w5cwBo3bo1devWZf369YB1vJhff/2VgwcPEhISQnx8PPPmzSM3N5cWLVoQERHBmjVrAOjTpw8HDx7k999/JygoiJEjR/L5559z4cIFLrvsMlq0aMHKlSsB6NmzJ8eOHbNVho4dO5bFixdz7tw5IiMjiYqK4ptvvgEgJiaG06dPs/vipFsjR45k2bJlnD17lvDwcDp37szSpUsBuOqqq8jIyOCHH34AYPjw4axevZo///yTunXrEhMTwxdffAFAp06dANi2bRsAQ3v35uzNN9Nw1SoCgZzevVl0wyjCvjvHFTt3cexYKD/88D0AgwcPZuvWraSkpFCtWjViY2Nt3aCioqKoUaMGSUlJAAwYMIDdu3dz+PBhqlSpQlxcnC3vVq1aUb9+fdatWwfANddcw969ezlw4ACVKlXihhtuYP78+WRnZ9O8eXOaNGnC6tWrAejduzfJycns3buXgIAARo8eTUJCApmZmTRp0oRWrVqxYsUKAHr06MHx48f55ZdfABg9ejRLliwhPT2diIgI2rVrx9dffw1AdHQ0aWlp/PjjjwCMGDGCb775hjNnzhAaGkqzZs348ssvAejSpQtZWVns3LkTgGHDhrFmzRpOnjxJnTp16NmzJ4sXLwbgyiuvJCAggK1bra0FhwwZwqZNmzh27Bg1atSgX79+JFwcD6Vdu3ZUqVLF1hJ10KBB7NixgyNHjlC1alUGDx7MZ599Bli/jOa9PwGuvfZafv75Zw4dOkTlypUZNmwYc+fOxTAMWrZsSXh4OGsvjh/ct29f9u/fz759+wgODmbEiBEsWLCArKwsmjVrRtOmTVm1ahUAvXr1IiUlhT179mCxWBgzZgyLFi3i/PnzVK1alYiICFtr2e7du3Py5El+/vlnAEaNGsXSpUtJS0ujUaNGdOzYka+++gqAbt26ce7cOXbt2gXgl58RQ4YMYd68eYBrnxG1atWibt265eczYuhQkpKSOH78OLVq1aJPnz62bn7t27cnNDSU778v+jPi3LlzAOX2M6JBgwZ07drV5c+Ic+fOUalSpXL7GdG4cWPatGnj8mfEiRMn8Aijgjh06JABGIcOHfJ1UUxduHDBWLRokXHhwoWSbSAtLW8WdOvf7lq3tIp5rbTUS4+npbpelvzPr0Ka6e6U5DVmz75U7CrYv8alCeet67kq+/Sl7X27NM3IzjbbsQL7ZbafDz1kGAEBhl2BAgOty0sh7ffUS3n9nurik/Md79RU751nF5X6fVSWePN97EZ+c4zKaH7e4DfHyI/4+zWEL82ZM8eIjIw05syZY+zcudOYNWuWUbt2bePjjz92WPfChQvG0KFDjU6dOhmnT58ucrv//ve/jaCgICMjI8P08YyMDOP06dO2W94xKm67vjS7JBcN5U1SkmE0a2a7Ztk+apRhZGfrI7kAnSvmlIs55eJImZhTLuY++OADj1xDqBupiAlnhztzdVi0hARo2/bS/UGDoWlTXJ5wIXBxArz8MuTm2j+Qk2Nd7ssZHEREpMJ46KGHeOSRRxgzZgzt27fn5ptv5oEHHmDq1Kl262VlZTFq1CgOHDjA8uXL7Vq1mYmOjiY7O5v9+/ebPh4SEkL16tXtbuLHcnNh6lTo2RP27bNe/Kxdy+5hwyAwkLCwS78choX5urAiIiKlp8o2d8jJgdWrYc4c67++GMirAsrJgYstq92uVy+IdPOwaHkTLiQfsV+enGxd7mz9WAA5VJpUyIByeXw1oJyIiFQo586dIyDA/nIyMDCQ3Hw/BuVVtO3Zs4cVK1ZQp06dYre7fft2AgICqF+/vtvL7CsDBgzwdRF848gRuPZaePRR67XJ6NGwfTvExFTcTIqhXMwpF3PKxZEyMadczPXr188j21VlW2klJFh/nevbF2680fpvSZoqiUvyYh9eYDbQi8NVlFpgILz2mvXvgvVtFou1ksuVYdGKnnDB+q+z9WM9WE9AspMDyomIiHjQ0KFDef755/nyyy/Zv38/CxcuZMaMGQwfPhywVrSNGDGCzZs38+mnn5KTk0NKSgopKSlcuHABgKSkJGbOnMmOHTv4/fff+fTTT3nggQe46aabqFWrli93z63yxjmqUJYsgQ4dYOVKqFIFPvzQ+uN0jRpABc3ECcrFnHIxp1wcKRNzysVc3phu7qYJEkojr6lSwRqUvKZKCxZAfLz5c6XE8sdepcBjN90EoaHuiT0+3noIH/o7kHppeUSEtSLOlddw54QL4aQ496JHjzpdPimlnBzrwTt61Nq3uFcvTVDhCcpZxO+88cYbPPHEE/z973/n2LFjNGrUiLvvvpsnn3wSgOTkZP73v/8B1oHb81u1ahV9+vQhJCSEuXPn8tRTT5GZmUmzZs144IEHmDhxord3x6MOF3UhUN5kZMDDD8Prr1vvd+pkrWRr3dputQqViQuUiznlYk65OFIm5pSLueTkZI9st0Qt29566y2aNm1KaGgo0dHRttkpCjN//nzatGlDaGgo7du3t81SkscwDJ588kkaNmxI5cqV6d+/P3v27LE9vn//fsaPH0+zZs2oXLkyLVq0YMqUKbZfRH3CnU2VxGlFxZ7HnbHHx9t3VZ34wPfs2ZPtcmWes/VezqyXQrhzG3N1QDkpGbVu9Q7lLOKXqlWrxsyZMzlw4ADnz59n7969PPfcc1SqVAmApk2bYhiG6a3PxV+XOnfuzHfffcepU6c4f/48u3fvZvLkyYSEhPhwz9yvSpWCPxGWUz//DH/5y6WKtgkTICnJoaINKlAmLlIu5pSLOeXiSJmYUy7mPJWLy5Vt8+bNY+LEiUyZMoWtW7fSsWNHBg4cyLFjx0zX37BhA2PHjmX8+PFs27aNYcOGMWzYMNu0ywDTp0/n9ddf591332Xjxo2EhYUxcOBAMjIyAGuzvtzcXN577z1+/PFHXn31Vd59910effTREu62G7jSVEncxhex5x+Kpk2bP0vUkMadEy6spwe5EW4eUE5KJq+ZZcGT0tWB+KRoyllEyoG4uDhfF8GzDAP+/W/o0gV27IB69eDLL+HVV6GQitNyn0kJKRdzysWccnGkTMwpF3PXXXedR7brcmXbjBkzuPPOO7n99tuJiori3XffpUqVKnz44Yem67/22mvExsby0EMP0bZtW5599lk6d+7Mm2++CVhbtc2cOZPHH3+cuLg4OnTowKxZszhy5AiLFi0CIDY2lo8++ogBAwbQvHlzrr/+eh588EESfPkFy51NlcRpZTV2d064kEsgF6bnDShXYIN5910ZUE5KRq1bvUM5Sxnz1FNPYbFY7G5t2rTxdbHED8yZM8fXRfCcU6dgzBj461/h3Dno399a4TZ4cJFPK9eZlIJyMadczCkXR8rEnHIxN3/+fI9s16Ux2y5cuMCWLVuYPHmybVlAQAD9+/cnKSnJ9DlJSUkOY24MHDjQVpG2b98+UlJS6N+/v+3xGjVqEB0dTVJSEmPGjDHd7unTp6ldu3ahZc3MzCQzM9N2/+zZswBkZ2eTlZVV9I46wVKvnlPhZderh+HE6+WVqcRly8oiOP+2itqOK+uWVjGvlX9/s7Kyit3/evUsOHPa1quXTVaWUaLXKCg7u/Ayu+KVVyyMGROIBftKg7wJF15+OYfcXIPcXOxyM3vNjMFDCZo7l8AJE7Dkq1k0IiLIeeUVjKFDS3xcs/Ltb1a2i3kVON5eO8/yvw6leB+5wPLttwQ50cwye9UqjKuvdn8BfJCvO7h6jDyWcxnNzxu8+T4qK7Kzs11a/4orrmDFihW2+0FBGiJXyrENG6zd+w8cgKAgeOEF+Ne/7LsGiIiIVDAuXf0dP36cnJwcGjRoYLe8QYMGhc7gkJKSYrp+SkqK7fG8ZYWtU9Bvv/3GG2+8wcsvv1xoWadOncrTTz/tsDwxMZG6desW+jyn5eQwoE4dQk+ccJitEsAAztety/IzZ6DAGHVFWb58eYmKE5iRwZCLf3/99dfkhIa6Zd3SKu61sk5lMeLi3ytWrCC4ZjBFycmBOnUGcOJEKI7zhAIY1K17njNnlttid/U1CkpLzWVcvvslPUYhITBpUkM+fb85/HlpeZ065xk/fhchIUdtZc6fW165R+S7//XXX7NtW1MWn1/HT7QAII4Eks5dyx1bdxMT4vw5V1Bu6lmGX/x71apVBDSo5vRz85d7xYoVDMpXXk+eZwWV9Bi5ImLNGro6sd72r74iOT3d7a/vzfexJzh7jDyVc1nPzxu88T4qK44fP+7S+kFBQYSHOzm+plQYrVq18nUR3CsnB158EaZMsf7dogXMng3dujm9iXKXiZsoF3PKxZxycaRMzCkXc5dffrlHtlvmfmpNTk4mNjaWkSNHcueddxa63uTJk+1a1CUnJxMVFUW/fv2IiIhwS1ksb78NY8ZgAJZ8XZyMi135Kr31FoOHDnVqW1lZWSxfvpxrr72W4GDXKoMAyPclc+DAgRAW5p51S6uY10o/dunx/v37E1a/+LK8/bYFa4NHgwKNxLBY4K23KjF06KVuCyV5jfz+2G//Bb7Exwhrb4qH/p4Ol1nvL5ifTd8hVQgM7AR0urRigUqD/C0/AS5ciGX69EDqGJfGStxAD078Gcb06Vcxd24Ow4cXMYtEEdL3X9pm3759CWta34Un22edx+Pn2UWlfh+5wBIWBjNmFLvelYMG0dETLdu8+T52I1ePkcdyLqP5eYM330dlRd4sVWfPnuXMmTO25SEhIaaD+O/Zs4dGjRoRGhpKTEwMU6dOpUmTJl4rr/in+vVd+P/U3yUnW6eAX73aen/cOHj7bahe3aXNlKtM3Ei5mFMu5pSLI2ViTrmYq1evnke261JlW926dQkMDCQ1NdVueWpqaqG/4IaHhxe5ft6/qampNMw3OnxqaqrDFPFHjhyhb9++dO/enffff7/Isha8AM67OA4KCnLfl4dRo6zN5f/5T+tFx0WWyEiYOZMgV6esBIKDg0tWvnzPCQ4OtrtfqnVLq5jXCi7wuDP7nj/2PwvM0vvf/1oYNcr+tC7Ja+QXFORY5tKcQ6Ghl57bu3eQ3f18L+LwmvlNnhx0cbgq+9Z9hmHBYoEHHwzihhtKNmxbcL79DQ5ycV8LHu/8f3vxS3tpj5FT+va1DsSXnGw+npjFApGRBPXt65nx83yYrzs4fYw8lXMZz88bvPI+KiPyuoFGRUXZLZ8yZQpPPfWU3bLo6Gg+/vhjWrduzdGjR3n66afp1asXu3btolo151sKS/mzbt06xo4d6+tilN7ixXDHHXDyJFStaq1ku/nmEm2q3GTiZsrFnHIxp1wcKRNzysVcYUOilZZLgylUqlSJLl26kJiYaFuWm5tLYmIiMTExps+JiYmxWx+sXVPy1m/WrBnh4eF265w5c4aNGzfabTM5OZk+ffrQpUsXPvroIwL8ZRyI+HjYvfvS/aVLYd8+63JxTU6O9RfSOXOs/xYx4Hl8POz+IYderLEtCyCHijDBSgA5XJ68mjHMoTvrHR4v8YysF/MP/F8FntnRhXOQwEB4zT8nqnBlN/yeH+dcIuXq4FQ8u3fv5vTp07Zb/jFs8wwaNIiRI0fSoUMHBg4cyNKlSzl16hSfffaZD0os4kbnz8O998KwYdaKti5dYOvWEle0iYiIlGcu11hNnDiR//u//+OTTz7hp59+4p577iE9PZ3bb78dgFtuucXu4vP+++9n2bJlvPLKK/z888889dRTbN68mXvvvRcAi8XChAkTeO655/jf//7HDz/8wC233EKjRo0YNmwYcKmirUmTJrz88sv88ccfpKSkFDqmm9fl/5LXu3fZ+dLnZyp3ibK2YrnxRuu/TZtCYTPOJiRQtX1TlnGpu+hPRBG4uPxXFP1EFKvpyxxuZDGFV+q6NCNrQoI17759CZ1wj21x4LIvS17QsiZfBk6dg2Ct9V2wABo1sl8eGWld7oNK95Lsht/zw5xLpFwenIqlWrVqVK9e3XYz60JaUM2aNWnVqhW//fabF0oo/uyaa67xdRFKbvduiI6Gt96y3n/wQevECC1blmqzZToTD1Iu5pSLOeXiSJmYUy7mrvbEkD+UoLJt9OjRvPzyyzz55JNceeWVbN++nWXLltkmODh48CBH833L7969O7Nnz+b999+nY8eOLFiwgEWLFtGuXTvbOpMmTeK+++7jrrvu4qqrriItLY1ly5YRenHA6uXLl/Pbb7+RmJhIZGQkDRs2tN2k/LAcLdAnNDkZRoxw/CKakAAjRmBJtp+hsBFHCLnJZP1yphHJpsuvw75izOm3x8U8MZnxMeQf48t9nkDhGRR2DubnR61bS7Mbfs+Pci6Rcn1wpChpaWns3btX1yzC3r17fV0E1xkGvP8+dO0KP/wA9evDsmXw0ktQqVKpN18mM/EC5WJOuZhTLo6UiTnlYm7fvn0e2W6J+mLee++9HDhwgMzMTDZu3Eh0dLTtsdWrV/Pxxx/brT9y5Eh++eUXMjMz2bVrF4MHD7Z73GKx8Mwzz5CSkkJGRgYrVqywmynjtttuwzAM05uUcfm6UDnMLZp3fCdMuLReTg7cfz8YhsP6AZisX17k25/C3rTP8TgB5GCxQOPG0KuXk9u9mGehymOe+RWVgdk5aMYPWre6Yzf8nh/kXCIV4uBIngcffJBvv/2W/fv3s2HDBoYPH05gYKDGSBEOHDjg6yK45uRJ648Bd99t7UI6YADs2AEDB7rtJcpcJl6iXMwpF3PKxZEyMadczB08eNAj2/WTgc+kogr4znHMMTsFByBbu9a0BVYeS4kHLPNvxeYERHKE3lj32+khrCponnaKyaDkg+B5VznZjfJJB6dCOXz4MGPHjqV169aMGjWKOnXq8N1333lspispOyq5oSWY16xdC1deaW11Gxxsbcn21VdQyIRoJVWmMvEi5WJOuZhTLo6UiTnlYs5Tubg0G6mIu1lSnRx3L69rsrMDkbk0YJn/czanK2of5b7/c6FnXQXN0463M8jJsX6JOXrU2te3Vy+3tNDSofRjOjgVyty5c31dBPFTN9xwg6+LULycHHj+eXj6acjNhcsvt07o0rWrR16uTGTiA8rFnHIxp1wcKRNzysVcnIdmWVTLNvEpo4GTv5DmjXXj7Jg35WxsHGdzeu2zhq4NYVVB87TjzQw8OEC+DqUf08EREWD+/Pm+LkLRDh2Ca66BKVOsFW233GKdbdRDFW1QBjLxEeViTrmYUy6OlIk55WJu4cKFHtmuKtvEp3L/0qPoFQoOQNarl3UGQovDCG8AGC4NWFZ2FJsTkNuwEYF9XNzvCpqnnWIycG0QvCJ4eIB8b+2GlIAOjogA2dnZvi5C4RYuhI4dYc0aqFoV/vMf+OQTqFbNoy/r15n4kHIxp1zMKRdHysSccjHnqVxU2Sa+la/7nFHwi2je/fwDkAUGwmuvma6fi8n65UW+/cl1nEoCgAtPPOf6fufLs9CKgPKYZ35FZWB2DpaEFwbI98ZuSAnp4IgI0Lx5c18XwdH58/D3v1vHn/jzT2srtm3b4KabvPLyfpmJH1Au5pSLOeXiSJmYUy7mmjVr5pHtqrLNE3JyYPVq6xgXq1drhjknOXSVjIyEBQscByCLj4cFCzDCG9ktTiaCzP+arF/OHMW8S2lO7HUl2+DFPGnUyOGhzLf+Xe7zBArPoLBz0FWeHiD/4mdOfOYcVj+1msiG9p857toNKQVPn2Mi4veaNGni6yLY+/FH6NYN3nnHev+hh2D9eus4bV7id5n4CeViTrmYUy6OlIk55WIuMjLSI9tVZZu7LV7ssTGZyrvza7dcurN0KezbV/gX0Ph4zm/Zbbcoih/JiSv/X1g7cymn8x/Ods9G4+Nh926HxSWuwCuLCmZQ3DnoCmcHvk9MLFnlfFSU7TOn95S+7Kcpw7F+5rhzN6SUPHmOiYjfW716ta+LYGUY8N571lZsu3ZB/fqwbBlMnw5enqnObzLxM8rFnHIxp1wcKRNzysXc2pI2eCiGKtvc7aabPDYmU7mXvwtV797Fd6kq8HguFaMLVv79zO32F/dtWF3YXD8HneXswPfPPVeyyvnkZLu7lqPJLGAEw0lw626IG3jqHBMRccaff8LIkfC3v0FGBgwcCDt3Wv8VERERt1Flm7t5cEwmESmjihsgPz9nK+eL+CyxXPzMmckEfeaIiPiJ3r17+7YA69ZZJ0H4/HMIDoaXX7a2sG3QwGdF8nkmfkq5mFMu5pSLI2ViTrmY69Gj+MkIS0KVbd5S2jGZRKTscmYiijzOVs6vX1/kZgIwaMIhAtbrM0dExB8kF2iF7DU5OfDMM3D11dZr0csvhw0b4F//ggDffhXwWSZ+TrmYUy7mlIsjZWJOuZg7cuSIR7aryjZvc3bsJhEpX4qYiMKBM5XzKSlOvWzg6kRN1iIi4gf27t3r/Rc9fBiuuQamTIHcXOtwJ1u3Wsdr8wM+yaQMUC7mlIs55eJImZhTLub27dvnke2qss3bnB27ScqlnBz7Bkmq+6hgCpmIolBFVc6Hm89KW1Cl6c9pshYRET8Q4O1WZIsXW7uNrlkDVavCrFnwn/9AtWreLUcRvJ5JGaFczCkXc8rFkTIxp1zMeSoXpe1uhXURs1igcWPr2E1SISUkWOs6huebeLBLF9V9VDiuDIhfVOV8MWMLGBdvdjRZi4iIz4wePdo7L3T+PNx7LwwbBidPWluxbdsGN9/sndd3gdcyKWOUiznlYk65OFIm5pSLuRtuuMEj21VlmycUrHDLuz9zpmaeq6ASEqx1HAUnqj16tNRj4UtZVprK+fyfJQW2k1fJ5rB1TdYiIuIzCd74oWP3boiOhrfest5/8EFrk/rLL/f8a5eAVzIpg5SLOeViTrk4UibmlIu5//3vfx7Zrirb3O2//3Uckyky0jpWU3y8+XOkXMvJgfvvL2Si2ov/Flf30aWLJ0rmR3JyrGOKVcSxxdxROV+gS6kFk4q2PP46WUtFPgdEpELIzMz03MYNA95/39qK7YcfoH59WLYMXnoJKlXy3OuWkkczKcOUiznlYk65OFIm5pSLOU/loso2d4uLsx+TaelS2LdPFW0V2Nq1ji3a8nOm7uNIIUN3fbO8dGXzC3n9a/v2rXhji7mrcn7Llkt/T5rk3HP8abKWinwOiEiF0aRJE89s+M8/YdQouPtuaxfSAQNg504YONAzr+dGHsukjFMu5pSLOeXiSJmYUy7mGjdu7JHtqrLNE/K3RundW11HKzhn6zRKUvcxbarrz/ErhfWvrShji7mrcj7/Z0yfPs49x18ma6no54CIVBitWrVy/0Y3bIBOnaw/0gQFWVuyffUVNGjg/tfyAI9kUg4oF3PKxZxycaRMzCkXc5d7aKgFVbaJeJizdRolqfs4esz15/iNIvvXVqCxxdxdOd+jB7kRkeQW1pHUnyZrKUfngHrBikhxVqxY4b6N5eTA889b/984cACaN7dWvD34IJSh2ebcmkk5olzMKRdzysWRMjGnXMytWrXKI9stO/8bi+SXk0PA+jW+LoVTevWy9gzURLUFuKN/rTgKDOTC9NcAHCvcSjtZS0lqlIp6Tjk5B9QLVkS8KjkZrr0WHn/c+pk6bpx1ttGrrvJ1yUREROQiVbZJ2XPxm23l+MF2i69nsY8KVLTAQHjNWvfhOBb+xX8r5ES1nuxfW8HlxMUzggUcwY2TtZSkRsnkOUGXX07DpCTr4+XgHFAvWBFxVo8ePUq/kSVLoGNHWLUKwsLgk0/gP/+B6tVLv20fcEsm5ZByMadczCkXR8rEnHIx95e//MUj21Vlm5QthX2zBT7lJgIX++c32/h4ax1HwbHwGzUq3US1DeuXvmw+48n+tcJC4mmLmyZrKUmNUmHPOXKEq6ZNw7JwYZk/B8pRL1gR8YLjx4+X/MkZGdYPnKFD4cQJ6zhtW7fCLbcU3nS+DChVJuWYcjGnXMwpF0fKxJxyMXfixAmPbFeVbR6Q/4vVmjX6ouU2RX2zvajSwxP8NvD4ePux8AE2b3au7qOwy+iHJ5e6WL6j/rUel4sbxoMrSY1SEc+xXFwW+K9/QffuZfocKCe9YEXES3755ZeSPfHnnyEmBl5/3Xp/wgRISoJyMNB1iTMp55SLOeViTrk4UibmlIu5PXv2eGS7qmxzs8WLoW3bS/cHDdbYPW5TzDfbAAwCDvv3N9uCdR3O1n0UNqnYgGtLVx6fKrJ/bSnHFhP3KUmNUjHPsQCWw4etg3mX4XOgHPSCFRF/Zhjw4YfQpQts3w716sGXX8Krr0JIiK9LJyIiIkVQZZubjRsHyUfsl/nF2D35BylfUzYmFnDgyW+2fj6V4Pr1vi6BhxTWv7Y0Y4uJe5XkfefKc8rwOVDGe8GKiJeNHj3a+ZVPn7aOdTl+PJw7B/36wY4dMHhw8c8tQ1zKpAJRLuaUiznl4kiZmFMu5m644QaPbFeVbW5m1sHR52P3FBykvKxeqHnqm20ZmEowoDy/Uwv2ry3N2GLifiV537n6nDJ6DqgntIi4YsmSJc6tuHGjdUy2uXOtLXtfeAG++aZc1tw7nUkFo1zMKRdzysWRMjGnXMwtW7bMI9stz1/h/YrPxu4pYkIBwNrvtawo5pttLhZyI138ZqupBP1DoBvGFhPPKEmNUjHPMQAjMtL+OWXwHFBPaO/z80bIIkVKT08veoXcXJg2DXr2tP7g0LQprFsHkyeX21/dis2kglIu5pSLOeXiSJmYUy7mPJVL+fyf2495deweJyYU4OGHvfZt5bPPSvnlqKhvthddmDbT+W+2mkpQpHglqVEq4jnGxfs5r7xSLmqhynAv2DKnDDRCFilSRERE4Q+mpEBsLDzyCGRnw6hRsG0b/OUv3iugDxSZSQWmXMwpF3PKxZEyMadczDUqeCHvJqps8zKv9gAobmBzsD7uqeZ2OTmsm3ppfLjxd+SU/stRYd9sgXH8l5w4F77ZOjnwe/D3pRwwLV9TjIA1qwnAw5V3avpRseXkELBmNWOYQy/cND6jMzVKBc+7uDjz50RE8P3DD2MMH17kPpSlc7iM9oItU9QIWcqDdu3amT+wbBl06ADLl0PlyvDBB9YupDVrerV8vlBoJhWccjGnXMwpF0fKxJxyMdc2/wyXbqTKNjcrpKOVb8bu8eVUeQkJnGvQlJ7PXxof7ieiGE5C6b8cFfxme9H/iHNtO07ud8CxFNe2m1+BphiVB/flJ6JKvj0XX09NPyqgqCgqD+7LHG5kGW4cn7GoGqXCzjtweE72nj0cjYkpdh/K2jlcBnvBlhlqhCzlxddff22/4MIFePBBGDQI/vjDWuG2ZYt1UoTCuu6XMw6ZCKBcCqNczCkXR8rEnHIxl5iY6JHtqrLNAwpeHvls7B5fTZWXkIAxYgShJ+ybIDTiCAsYwTDD+qW5VF+O3BGkk/udWz+8ZNsvpClGI44U8oTSCVz2pdubfuTkuqlw4j3JyebL3TE+o1mNUnFNjvIPxOpsLVTBfcjbVlkaY1LcxslGyN4fE1WkNH77DXr0gFdesd7/xz+sEyN46Nd1ERER8S5VtrnZp5861uH4bOye4gY2B+vj7mxul68JQsGTK+DiXK0zmYDFyOHQIfjuO/e9tMucHPg966oerm+7iKYYAfnnrHVjU4xKzzxWqqYfZvUYPXv4fYMiAefOI0+Mz+hMk6OHH3Z+W4VxdVtSrviykbYULycnhyeeeIJmzZpRuXJlWrRowbPPPouR73PBMAyefPJJGjZsSOXKlenfvz979uyx287JkycZN24c1atXp2bNmowfP560tDRv745HRUdHW//49FPrbKObN0OtWrBwIbz5JoSG+raAPmDLROwoF3PKxZxycaRMzCkXc127dvXIdlXZ5mZxcdYeAHkWJvhw7B4nJhRg2jT3Nre72AShsOq9AAyacIheWJsgpKa676Vd5smpBJ0ZLw8I+K6U48Hl31ZKEd80i2n6kZAA48Y5Lk9JLQPjIeUb38vy7bcVsy+ZM7XWnhif0ZkmR068DwBYX8x7wZVtSZmXf9g+Z/+f8OqYqGIzbdo03nnnHd58801++uknpk2bxvTp03njjTds60yfPp3XX3+dd999l40bNxIWFsbAgQPJyMiwrTNu3Dh+/PFHli9fzpIlS1izZg133XWXL3bJY84dOwa33go33QRpadYf/XbsgGHDfF00nylvFaruolzMKRdzysWRMjGnXMxpNtIyJH/dTI8ePh67p4gJBQBr7aA7Odm0oCHW9Ro0cO/Lu+xiPkZD+3yMiFI2R3QyB0tqKcaDKwmTctkaJ5msnrfMb8dDKjBWWNC11zLgrruwLFzo65J5l7O1Ee5u+uPO7aV4+b0gfqvgEIAPPFD0/6M+GRNVbDZs2EBcXBzXXXcdTZs2ZcSIEQwYMIBNmzYB1lZtM2fO5PHHHycuLo4OHTowa9Ysjhw5wqJFiwD46aefWLZsGR988AHR0dH07NmTN954g7lz53LkiGeGXvC6rVtpMnw4zJoFAQHw1FOwcqX15K3AfvzxR18XwS8pF3PKxZxycaRMzCkXcz/99JNHtqvKtoqg4MDmnmym5GTTghQa0rixf8xon0A8bY1L+cSylKbGPhIoRXNEJ3MwGpRwPLiSMilXmR0PqZCxwkJPnCBwzBg/b47nXkm/O1lr7e6mP+7cXriX3wvilwobArCwyn6fjYkqNt27dycxMZFff/0VgB07drBu3ToGDRoEwL59+0hJSaF///6259SoUYPo6GiSkpIASEpKombNmnbdOPr3709AQAAbN240fd3MzEzOnDljd/NLhmFtRR8TQ/WUFIiIgFWrYMoUCArydelERETEQ/S/vB/JyYFvv7Xwxx/W77C9ernxy0PB5naekjcOWnKy6ThOuVg4TCRr6cVnM33/5Sjvi11l41JB1tKb80cCGTHC2ritZycnN5aTY62ROnoU6tcvMoc8uX9x37HIDW9IQGqK+etZLIWOz1cmx0MqYqwwCxdb5E2YYG256euTzAuGv/QXimsXllE3kuDuvXBII/956+oHTzHvdywW6xdLZ7p/Fve55Mq2pEwqagjAPIGB9hVvkZHWijafDNUgADzyyCOcOXOGNm3aEBgYSE5ODs8//zzjLo5NkHKx1WqDAk3ZGzRoYHssJSWF+vXr2z0eFBRE7dq1besUNHXqVJ5++mmH5fPnz6dKlSrEx8eTmJjI6dOnqV+/Pt26dWPJxQlbOnfuTG5uLtu3bwcgLi6OdevWceLECWrXrk3v3r1tre46dOhAcHAwWy6OEXLdddexefNmUlNTqV69OgMGDGDBggUAXHHFFVStWtVWQRjbpQu5t91GnYuVijlDh7JoyBAuJCfTeutW6taty/qLXej79+/Pr7/+ysGDBwkJCSE+Pp558+aRm5tLixYtiIiIYM2aNQD06dOHgwcP8vvvvxMUFMTIkSP5/PPPuXDhApdddhktWrRg5cqVAPTs2ZNjx47ZKkPHjh3L4sWLOXfuHJGRkURFRfHNN98AEBMTw+nTp9l98QfakSNHsmzZMs6ePUt4eDidO3dm6dKlAFx11VVkZGTwww8/ADB8+HBWr17Nn3/+Sd26dYmJieGLL74AoFMn64XUtm3bABg6dChJSUkcP36cGjVqkJGRwcKLLdLbt29PaGgo33//PQCDBw9m69atpKSkUK1aNWJjY5k/fz4AUVFR1KhRw1ZpO2DAAHbv3s3hw4epUqUKcXFxzJkzB4BWrVpRv3591q1bB8A111zD3r17OXDgAJUqVeKGG25g/vz5ZGdn07x5c5o0acLq1asB6N27N8nJyezdu5eAgABGjx5NQkICmZmZNGnShFatWrFixQoAevTowfHjx/nll18AGD16NEuWLCE9PZ2IiAjatWtnmw0wOjqatLQ0W0uTESNG8M0333DmzBnq1avHmTNn+PLLLwHo0qULWVlZ7Ny5E4Bhw4axZs0aTp48SZ06dejZsyeLLw6+e+WVVxIQEMDWrVsBGDJkCJs2beLYsWPUqFGDfv36kXDxB8l27dpRpUoVW0vUQYMGsWPHDo4cOULVqlUZPHgwn332GQBt2rShdu3abNiwAYBrr72Wn3/+mUOHDlG5cmWGDRvG3LlzMQyDli1bEh4eztqLv9T27duX/fv3s2/fPoKDgxkxYgQLFiwgKyuLZs2a0bRpU1atWgVAr169SElJYc+ePVgsFsaMGcOiRYs4f/48ERERHD9+nOXLlwPWyv6TJ0/y888/AzBq1CiWLl1KWloajRo1omPHjnz11VcAdOvWjXPnzrFr1y4Av/iMGDhwILt27SI5OZmwsDCGDBnCvHnzAGjdurXTnxFNmzYlOTm5XH5G1KpViz59+rj8GWEYBjt27Ci3nxENGjSga9euLn9GGIbBTz/9VG4/Ixo3bkybNm1c/owwirr4LA2jgjh06JABGIcOHXL/xtPSDMP6/cAwli41zr/zoe1+WmqaU5uYNy/LqFPnnG0zYBiRkYbx+eclKEOayWvmfzwh4dLfp087v5/O+vxzw7BYrLd8O5SDxcjBYtxZ53PbfqWlXipX2u+pRe9DYftz8VaFNPNdz/8a+Y5HdrY1YzCMKqTZbQcMI5BsY2S9Vcafr146nv99L8G4cOGC+T7nbSzvVqeO9V+THIo9P9Lsy5P6+6X7dbmUU9qu321/n3/7Q8OwWIzcAq+Xm3csCjmZVq1yzCD/a+XdXbWq6EPicFxSS3g8i1s3f6GLuzlV6FKUoyTPK7iuG14z/zmR//zKfxvDp46fKWbnbVEfPGZlLeT9blv26ad2z7lw4YKxaNEix/dR/m07ua1SKWnupd2cm1/XEwo9Rh7m7Ns633+3Rna2d8rm0WuIMm7OnDlGZGSkMWfOHGPnzp3GrFmzjNq1axsff/yxYRiGsX79egMwjhw5Yve8kSNHGqNGjTIMwzCef/55o1WrVg7brlevnvH222+bvm5GRoZx+vRp2y3vGJ32xHVNSaxcaRgNG1pP1pAQw3jjDWPJF1/4ulR+Z8mSJb4ugl9SLuaUiznl4kiZmFMu5j777DOPXEOoG6m7DR5M6D132O4GfmkyxWMBCQkwZkwgJ07Yz0KVnOyhwenzNwGIinL/C1wcB+18Lftx0JKJ4I5qC7j2nXi/aIVQVPfJ4SSwj6Z89kdfaj5w6Xg23moyEH0h/Z6MEyetLaxq1bJbnkxEKUtuLif2Or57cAEpFvvcjwRE8t2DhY8/Z5uUtZDt+uV4SGWyOZ6b5I0cf/FXpIKOYt4d83/E2X+mFNZfz9UPnsLGhcybhrkE40Keq1FgH0qxLSk7XH279u5dIRqu+r2HHnqIRx55hDFjxtC+fXtuvvlmHnjgAaZOnQpA+MUu4qkFxpZMTU21PRYeHs6xY8fsHs/OzubkyZO2dQoKCQmhevXqdje/kJ0NTzwB/fpZT+rWrWHjRrj3Xs6cPevr0vkdv+3+62PKxZxyMadcHCkTc8rFnKdyUWWbOywuvEItZPxNRX5pte82Y1/dkdea0S2D0xdWxiNHPFKjl0A8DU7utlsWxY/MSotn9Gj/GE6rsC9217OYBYwgAseauF7vTbcffL/I7owGBhbOGZVty84nLCUKzwxM+dUy6P5yPK1y7cefuyxnH91fji808/yTshaUd0b63XhIzo4VVt6mJ8w/cvwdlyqBr+NL29/38rrt7+EssHt63mk68f4cjML665Xkg6fguJBLl7o8DXP+j6hmpy5N6bzuMde3JWVTSd+u+WcuXb3aTydzKcfOnTtHQID95WRgYCC5ubkANGvWjPDwcBITE22Pnzlzho0bNxITEwNYuyadOnXK1g0LYOXKleTm5hIdHe2FvXCTgwehTx947jnrZ+kdd1inqO/YEXDsSivKpDDKxZxyMadcHCkTc8rFXMGhLNzGre3k/JjHuoBkZxtGRESh/VxyLRbDaNy40L4ubusNV1TXpGLKaBRTRlfldc8s2C0xr3tm/pfzZTfS/NnnL+shIoycwo4nGLmRkZeycrHfU1pqmt1rubMbafsGqQ77YpZ5YRZ96phph/DUwrsyZ2db93/2bOu/2dne60aad5IV7G7o5PvObeUoyfNK2o00r7umyf4W1nX0MA0dzgUwjKtZVbIPnqLKWthjBZabdVH8/HPDCMP8HK9CmvHZZyXIuRjZpy9t69ulaU6fKmanvUtFUzfSQhXztjYsFvtez2lprveELil1Iy3crbfeakRERBhLliwx9u3bZyQkJBh169Y1Jk2aZFvnxRdfNGrWrGksXrzY2LlzpxEXF2c0a9bMOH/+vG2d2NhYo1OnTsbGjRuNdevWGS1btjTGjh3rdDlOnz5tgA+7kX7+uWHUrGk9CatVM4w5cxxW8Zsurn5EmZhTLuaUiznl4kiZmFMu5jw1FIVatpXW2rXWbleFsBhGkVM5eqU3XDFlpJgyluTlysLslrbukwX6T0aSXGiTTwtgOXz4UuH9qJvi0dTCH3Mmc7MeemvXFdKgKH8LqxtvtP7btGmRrTzdKn9zvAIH0Mj7w++a45VCsSPHmy9vWMi0CQ3xn264tl0rYp2xY629SN0lIQHatr10f9Bg6+lbXItbs9M+PBweeAAujkkslK6l2Z13mp/meW/zadMuLVu82D09oaV03njjDUaMGMHf//532rZty4MPPsjdd9/Ns88+a1tn0qRJ3Hfffdx1111cddVVpKWlsWzZMkJDLw2f8emnn9KmTRv69evH4MGD6dmzJ++//74vdsk158/D3/8ON9wAp05Bt26wfTuMGeOwat5A1nKJMjGnXMwpF3PKxZEyMadczOVNSuFuqmwrrVLWlnmlN5yXx7cqK8Np2dXXuPrkvMKXsW6KrmYeaPYJUdRYXzfdVOKyuayQscLO161Lzty55avbYTE12IV9kAfkq8IK4FKNx1H8pxtucZXzYK2sGTnSPXW5eadv8hH75cVV0BR22h8/bq3XHTy49GUrDwqrh3e2InPKFPPHzYbtmzTJvGIub5lbhmCQYlWrVo2ZM2dy4MABzp8/z969e3nuueeoVKmSbR2LxcIzzzxDSkoKGRkZrFixglatWtltp3bt2syePZuzZ89y+vRpPvzwQ6pWrert3XHNTz9BdDS88471/qRJ1g+15s19Wy4RERHxuRJVtr311ls0bdqU0NBQoqOjbVPBFmb+/Pm0adOG0NBQ2rdvb5sSOI9hGDz55JM0bNiQypUr079/f/bs2WO3zsmTJxk3bhzVq1enZs2ajB8/nrS0tJIU371KWVt2qXWVebsOtwxO7+XxrcrScFp59TUulyXvCb16kV47ktxCqutysXCIyNIV0o1KnXlRLawKbXXlQQXGCsv+4guWv/cexvDh3i+LJ7mhZroH1qnjLRbYH9kLw6xZZx4vzorhyq5NmlS613Lm9DWroCm2YWEB3mrg6W9KOudGYc/L89hj5sP2ebHBdom4eq0k/is93fqxaLFY/8Yw4IMPoEsX+OEHqF8fli2zNr3MV8lYUJcuXbxX6DJCmZhTLuaUiznl4kiZmFMu5jp16uSR7bpc2TZv3jwmTpzIlClT2Lp1Kx07dmTgwIEOs0jl2bBhA2PHjmX8+PFs27aNYcOGMWzYMHbt2mVbZ/r06bz++uu8++67bNy4kbCwMAYOHEhGRoZtnXHjxvHjjz+yfPlylixZwpo1a7jrrrtKsMtu1qsXRBQ+u6RRzJdW+8Hp7b/J5X0PLnVvuGLK6O4v1mVtdsv4eOv4xXky6kRYj5sJA6yVFHmFDwxk3/3WA1iwwi3v/iSm4Q0NG3ih7sSZPsLelu/NYfTsWX66jubnhprpcFJs58eM1wKxFNIN130fPM5xZdcOF1G54oySdnF3pvVdfg8/XPFaVHmyIvOTT0peLl+1oHb1WknKkNOnrX3b77zT2oX02mthxw4YOLDYp2ZlZXmhgGWLMjGnXMwpF3PKxZEyMadczHkqF5cr22bMmMGdd97J7bffTlRUFO+++y5VqlThww8/NF3/tddeIzY2loceeoi2bdvy7LPP0rlzZ958803A2qpt5syZPP7448TFxdGhQwdmzZrFkSNHWLRoEQA//fQTy5Yt44MPPiA6OpqePXvyxhtvMHfuXI4cOWL6ul4TGAjTpxe9TjFfWuPjYe7cHGrXzrBbntdtptS94Yoqowe+WBc5u6V3v8c7za4sL023VpMVUnOV88ordk9o+1g8d9dZwBHsuzMeJpIRLOALTAZD84AnL3a/Klhqt2bu676/FVVhAwy6IIVw+8+UQrrhuu+Dxzl5u+YNJe3i7uppn39Yx4rCkxWZpcnTVy2oXb1WEv+Unn7pBhDNd4T+5UqYNw8jKMjakm3ZMuvgjU7YuXOn5wpbRikTc8rFnHIxp1wcKRNzysVc/oZg7hTkysoXLlxgy5YtTJ482bYsICCA/v37k5SUZPqcpKQkJk6caLds4MCBtoq0ffv2kZKSQv/+/W2P16hRg+joaJKSkhgzZgxJSUnUrFmTrl272tbp378/AQEBbNy4keEmXcYyMzPJzMy03T979iwA2dnZ7q+5HDyY4EIeOvfeJ1QaOhSKec0hQ7LIyVnJjTcOAeCLL7Lp398gMLDYp1plZdnKkJWV5fikQspoNGpEzowZGE6U0RVDh8Inn2TDrfbLGzUymDEjh6FDDazFvPSaWdn5/jbbh/zy7a/94iyHp9m9RlaW6fHPvyxjwGCC5s4l8IEHsBSozF179yS6DhmCUWAb1759PVGj+3GGmgDEspTlDMCwBFDFSC/wOsF2903PxwL7l51tnkVWdrbt7/79s5g7N5tH7zfIPy5+RITBK69cyrxQJplmZduXz1KvntMfGlnFnZOFvHax6xb3XErx60RJy1GafQWnnmt55RUCx4wBLFgKtII1KH7cwfvnRtM3Lsv+M2XoULj6aoLr1gWs3XCN/v0p9IOnqP0s7LECy7MuVhjmP0avvGLh9tGutYp0+TwB6tWz4Mx/e/XqZZOVZeS779zz8jt0yH4bNqU5172kJO+jQ4ecy6hgLq4+z1oka4KNGhkcPQqG4Xj2WywGERHwl79kuyXi7IuftWfPnuXMmTO25SEhIYSEhNitW5JrJfFPeUPGWchlEi/xHI8TeCibfTRlTPZcNk6K9m0BRURExG9ZDMP5fl9HjhwhIiKCDRs2EBMTY1s+adIkvv32WzZu3OjwnEqVKvHJJ58wduxY27K3336bp59+mtTUVDZs2ECPHj04cuQIDfP9BD1q1CgsFgvz5s3jhRde4JNPPuGXX36x23b9+vV5+umnueeeexxe96mnnuLpp592WP7BBx9Q9+IXS7fLyaHO7t2E/vknGbVqcSIqyr+ab4HXy5iTA7t31+HPP0OpVSuDqKgTfhdJoVzMKimpIR980J4TJyrbltWte47x43cRE+O9FmEezTwnhwF33UXoiROmlTsG1gkKlr/3nv+d++VAw6Qk2rzzIdXP/GFbdpDGzGEMD/EyYD8pQt5f3z/8MEfzfWb7o/XrG/LKK13JzS2swbVB3brnee+95SU+tXJy4K67BnDiRCjm1ZPmr1H88xw9++w62rc/UbKClkE//FCHJ57oWex6BXMp6fPA+pk7bdpVF+/lPy7WM//hh79322fv8ePH+etf/+qwfMqUKTz11FN2y0pyrSSld+bMGWrUqMHp06epXr26W7aZ15g4gBwS6UcfvmUuo7mb9zhDDZdHTjh//jyVK1cufsUKRJmYUy7mlIs55eJImZhTLuZSU1MJDw936zUEuPpTfRkyefJkuxZ1ycnJREVF0a9fPyKKGr+stIYOLdHTsrKyWL58Oddeey3BwYW1k3OTEpaxjLyce+UrfHHHaPBgeOopWLcum6NHrd2XevYMJjCwE+CZQRcL48nMLW+/DWPGWFtT5fumkTfOXaW33mKwjw66V99HvjB4MDlPPMXIpkkEHz/KERqxll7kEshG/sJr3E9j8vXJi4wk55VX6DR8uJfPwMIVdowGD4bOnXMZOzav0uRS5UneBDJvvVWJoUNLN+3n229bGDMGwLBrEVXca+Q9z/r7VOEVbnktqh58MLrM1jeX5H00cCC8+67BkSNFtzQrmEtJnwd550wOEycG2k2WEBkJr7ySw/Dh7vvsTb74Art377a7hijYqk3Kl7x5uNLTA+nc4L9cy3KmpdzGkaol69K/Zs0aBjoxtltFokzMKRdzysWccnGkTMwpF3Pr16/3yHZdqmyrW7cugYGBpKam2i3Pqwk0Ex4eXuT6ef+mpqbatWxLTU3lyiuvtK1TcFDh7OxsTp48WejrFuzakdftIygoyK+/hAcHB/t1+aToYxQcDPl6RJdPo0ZBUJB1VPN8gy1ZIiNh5kyCvDTWV1HK8/soODiYse/1ZcQI6/28+s6FxPM/4ujFWqZNOEq3uIZYevUiyE9rfMyO0Zgx1on8CpxaREZamDkT4uNL//tQIadvsa9R2PPys9Y3W3jtNQgNLfvnnyvvo+BgeP1166yiFov9hAdF5VLS5+UZNQpuuME6plvejxy9elkIDHTvb4lBQdbtVatWrdhfPEtyrST+KSzs0t/JRPIxt/NmVfvlrjh58qR7ClaOKBNzysWccjGnXBwpE3PKxdyff/7pke26NEFCpUqV6NKlC4mJibZlubm5JCYm2nWVyC8mJsZufYDly5fb1m/WrBnh4eF265w5c4aNGzfa1omJieHUqVNsyTdl5MqVK8nNzSU6WuNliHhdfDzs3w+rVsHs2dZ/9+3z2qD6FV3e3AYFG+k2ahzIfZ/3odurY6FPnzLZldcbp1ZJXyP/8yZMgHr17B/38twSfqew87K4XEr6vDyBgdbTfayfnPYluVaSiqFOnTq+LoLfUSbmlIs55WJOuThSJuaUi7natWt7ZLsu//Q7ceJEbr31Vrp27Uq3bt2YOXMm6enp3H777QDccsstREREMHXqVADuv/9+rr76al555RWuu+465s6dy+bNm3n//fcBsFgsTJgwgeeee46WLVvSrFkznnjiCRo1asSwYcMAaNu2LbGxsdx55528++67ZGVlce+99zJmzBgaFZxJT0S8I+8brvhEfDzExRVs0eP7igZ38MapVdLXyHtenz7w8svlM//SKOl5Wd7O5+KulaRsCQvD5fHZzPTsWfz4hBWNMjGnXMwpF3PKxZEyMadczHnqx1CXK9tGjx7NH3/8wZNPPklKSgpXXnkly5Yto0GDBgAcPHiQgIBLDea6d+/O7Nmzefzxx3n00Udp2bIlixYtol27drZ1Jk2aRHp6OnfddRenTp2iZ8+eLFu2jNDQUNs6n376Kffeey/9+vUjICCAG264gddff700+y4iUqapvtO3lL+50lZklgfFXStJxbR48WK7CcNEmRRGuZhTLuaUiyNlYk65mPvyyy89st0SDWpy7733cu+995o+tnr1aodlI0eOZOTIkYVuz2Kx8Mwzz/DMM88Uuk7t2rWZPXu2y2UVERER8bairpVEREREpHxzacw2ERERERFxXd7EX3KJMjGnXMwpF3PKxZEyMadczHXo0MEj21Vlm4iIiIiIh+UfZkWslIk55WJOuZhTLo6UiTnlYs5TuShtEREREREP27p1q6+L4HeUiTnlYk65mFMujpSJOeVibvv27R7ZrirbRERERERERERE3ESVbSIiIiIiHjZkyBBfF8HvKBNzysWccjGnXBwpE3PKxVxsbKxHtqvKNhERERERD9u0aZOvi+B3lIk55WJOuZhTLo6UiTnlYm7Lli0e2a4q20REREREPOzYsWO+LoLfUSbmlIs55WJOuThSJuaUi7k//vjDI9tVZZuIiIiIiIfVqFHD10XwO8rEnHIxp1zMKRdHysSccjHnqVxU2SYiIiIi4mH9+vXzdRH8jjIxp1zMKRdzysWRMjGnXMxdffXVHtmuKttERERERDwsISHB10XwO8rEnHIxp1zMKRdHysSccjH3v//9zyPbDfLIVv1Qbm4uAEePHvVxScxlZ2dz/PhxkpOTCQqqMIelTNEx8n86Rv5Px8j/6Rg5yrt20wcbxQAAEn1JREFUyLuWEP9jGAYAZ86c8XFJCnfu3Dm/Lp8vKBNzysWccjGnXBwpE3PKxdz58+eBS9cS7mIx3L1FP/X999/TrVs3XxdDREREyqhNmzZx1VVX+boYYuLw4cM0btzY18UQERGRMurQoUNERka6bXsVprItOzubbdu20aBBAwIC/K/37NmzZ4mKimL37t1Uq1bN18UREzpG/k/HyP/pGPk/HSNHubm5pKam0qlTJ7X281O5ubkcOXKEatWqYbFYfF0cB2fOnKFx48YcOnSI6tWr+7o4fkGZmFMu5pSLOeXiSJmYUy7m8nLZvXs3rVu3dmtdUYW5YgwKCvLrX6PzmnNGRETo5PdTOkb+T8fI/+kY+T8dI3NNmjTxdRGkCAEBAW79NdpTqlevrvdVAcrEnHIxp1zMKRdHysSccjEXERHh9kZZ/tfES0REREREREREpIxSZZuIiIiIiIiIiIibqLLNT4SEhDBlyhRCQkJ8XRQphI6R/9Mx8n86Rv5Px0jE/fS+cqRMzCkXc8rFnHJxpEzMKRdznsylwkyQICIiIiIiIiIi4mlq2SYiIiIiIiIiIuImqmwTERERERERERFxE1W2iYiIiIiIiIiIuIkq20RERERERERERNxElW0ekpOTwxNPPEGzZs2oXLkyLVq04NlnnyX/fBSGYfDkk0/SsGFDKleuTP/+/dmzZ4/ddk6ePMm4ceOoXr06NWvWZPz48aSlpXl7d8otZ47TbbfdhsVisbvFxsbabUfHybPOnj3LhAkTuOyyy6hcuTLdu3fn+++/tz2u95LvFXeM9D7yrjVr1jB06FAaNWqExWJh0aJFdo+76z2zc+dOevXqRWhoKI0bN2b69Ome3jURv6FrPUfFZZKVlcXDDz9M+/btCQsLo1GjRtxyyy0cOXLEbjtNmzZ1+D/jxRdf9MUuuYWuN805k0vBTPJuL730km2d8na+6LrXXFG5VNTPFtA1uJniMvHa54ohHvH8888bderUMZYsWWLs27fPmD9/vlG1alXjtddes63z4osvGjVq1DAWLVpk7Nixw7j++uuNZs2aGefPn7etExsba3Ts2NH47rvvjLVr1xqXX365MXbsWF/sUrnkzHG69dZbjdjYWOPo0aO228mTJ+22o+PkWaNGjTKioqKMb7/91tizZ48xZcoUo3r16sbhw4cNw9B7yR8Ud4z0PvKupUuXGo899piRkJBgAMbChQvtHnfHe+b06dNGgwYNjHHjxhm7du0y5syZY1SuXNl47733vLWbIj6laz1HxWVy6tQpo3///sa8efOMn3/+2UhKSjK6detmdOnSxW47l112mfHMM8/Y/Z+Rlpbmi11yC11vmnMml/x5HD161Pjwww8Ni8Vi7N2717ZOeTtfdN1rrqhcKupni2HoGtxMcZl463NFlW0ect111xl33HGH3bL4+Hhj3LhxhmEYRm5urhEeHm689NJLtsdPnTplhISEGHPmzDEMwzB2795tAMb3339vW+err74yLBaLkZyc7IW9KP+KO06GYf2AiouLK3QbOk6ede7cOSMwMNBYsmSJ3fLOnTsbjz32mN5LfqC4Y2QYeh/5UsHKNne9Z95++22jVq1aRmZmpm2dhx9+2GjdurWH90jEP+haz5Ez11UFbdq0yQCMAwcO2JZddtllxquvvuqpYnqdrjfNleR8iYuLM6655hq7ZeXpfNF1rzlnrjULqgifLboGd1SSc8VTnyvqRuoh3bt3JzExkV9//RWAHTt2sG7dOgYNGgTAvn37SElJoX///rbn1KhRg+joaJKSkgBISkqiZs2adO3a1bZO//79CQgIYOPGjV7cm/KruOOUZ/Xq1dSvX5/WrVtzzz33cOLECdtjOk6elZ2dTU5ODqGhoXbLK1euzLp16/Re8gPFHaM8eh/5B3e9Z5KSkujduzeVKlWyrTNw4EB++eUX/vzzTy/tjYjv6FrPkbPXVfmdPn0ai8VCzZo17Za/+OKL1KlTh06dOvHSSy+RnZ3tyaJ7lK43zbl6vqSmpvLll18yfvx4h8fKy/mi615zzl5r5lcRPlt0De7I1XPFk58rQa4VXZz1yCOPcObMGdq0aUNgYCA5OTk8//zzjBs3DoCUlBQAGjRoYPe8Bg0a2B5LSUmhfv36do8HBQVRu3Zt2zpSOsUdJ4DY2Fji4+Np1qwZe/fu5dFHH2XQoEEkJSURGBio4+Rh1apVIyYmhmeffZa2bdvSoEED5syZQ1JSEpdffrneS36guGMEeh/5E3e9Z1JSUmjWrJnDNvIeq1WrlkfKL+IvdK3nyJnrqvwyMjJ4+OGHGTt2LNWrV7ct/+c//0nnzp2pXbs2GzZsYPLkyRw9epQZM2Z4a1fcSteb5lw9Xz755BOqVatGfHy83fLydL7outecM9ea+VWUzxZdgzty9Vzx5OeKKts85LPPPuPTTz9l9uzZXHHFFWzfvp0JEybQqFEjbr31Vl8XTy5y5jiNGTPGtn779u3p0KEDLVq0YPXq1fTr189XRa9Q/vOf/3DHHXcQERFBYGAgnTt3ZuzYsWzZssXXRZOLijtGeh+JSHmjaz1HrmSSlZXFqFGjMAyDd955x+6xiRMn2v7u0KEDlSpV4u6772bq1KmEhIR4ZV/cSdeb5lx9D3344YeMGzfOocVKeTtfdN1rztlcKtJnC+ga3Iwr7yFPfq6oG6mHPPTQQzzyyCOMGTOG9u3bc/PNN/PAAw8wdepUAMLDwwFrs8X8UlNTbY+Fh4dz7Ngxu8ezs7M5efKkbR0pneKOk5nmzZtTt25dfvvtN0DHyRtatGjBt99+S1paGocOHWLTpk1kZWXRvHlzvZf8RFHHyIzeR77jrvdMeHi46Tbyv4ZIeaZrPUfOXlflfRk+cOAAy5cvt2t5YiY6Oprs7Gz279/vwdJ7jq43zbmSy9q1a/nll1/461//Wux2y/r5outec85ca1a0zxbQNbgZZzPx9OeKKts85Ny5cwQE2McbGBhIbm4uAM2aNSM8PJzExETb42fOnGHjxo3ExMQAEBMTw6lTp+xqYFeuXElubi7R0dFe2Ivyr7jjZObw4cOcOHGChg0bAjpO3hQWFkbDhg35888/+frrr4mLi9N7yc+YHSMzeh/5jrveMzExMaxZs4asrCzbOsuXL6d169bqQioVgq71HDlzXZX3ZXjPnj2sWLGCOnXqFLvd7du3ExAQ4NDVqazQ9aY5V3L597//TZcuXejYsWOx2y3r50seXfeaK+xasyJ+tuSna3BHxWXi8c+VUk2vIIW69dZbjYiICNtU1gkJCUbdunWNSZMm2dZ58cUXjZo1axqLFy82du7cacTFxZlO29ypUydj48aNxrp164yWLVuW6Wl4/U1xx+ns2bPGgw8+aCQlJRn79u0zVqxYYXTu3Nlo2bKlkZGRYduOjpNnLVu2zPjqq6+M33//3fjmm2+Mjh07GtHR0caFCxcMw9B7yR8UdYz0PvK+s2fPGtu2bTO2bdtmAMaMGTOMbdu22Wbkcsd75tSpU0aDBg2Mm2++2di1a5cxd+5co0qVKsZ7773n9f0V8QVd6zkqLpMLFy4Y119/vREZGWls377dOHr0qO2WN7Pxhg0bjFdffdXYvn27sXfvXuO///2vUa9ePeOWW27x5a6Viq43zTnzHjIMwzh9+rRRpUoV45133nHYRnk8X3Tda66oXCrqZ4th6BrcTHHvIcPwzueKKts85MyZM8b9999vNGnSxAgNDTWaN29uPPbYY7Y3u2FYp4R/4oknjAYNGhghISFGv379jF9++cVuOydOnDDGjh1rVK1a1ahevbpx++23G2fPnvX27pRbxR2nc+fOGQMGDDDq1atnBAcHG5dddplx5513GikpKXbb0XHyrHnz5hnNmzc3KlWqZISHhxv/+Mc/jFOnTtke13vJ94o6Rnofed+qVasMwOF26623GobhvvfMjh07jJ49exohISFGRESE8eKLL3prF0V8Ttd6jorLZN++faafTYCxatUqwzAMY8uWLUZ0dLRRo0YNIzQ01Gjbtq3xwgsv2H0xLGt0vWnOmfeQYRjGe++9Z1SuXNnu2i9PeTxfdN1rrqhcKupni2HoGtxMce8hw/DO54rFMAzD+XZwIiIiIiIiIiIiUhiN2SYiIiIiIiIiIuImqmwTERERERERERFxE1W2iYiIiIiIiIiIuIkq20RERERERERERNxElW0iIiIiIiIiIiJuoso2ERERERERERERN1Flm4iIiIiIiIiIiJuosk1ERERERETKpD59+jBhwgRfF0NExI4q20RERERERMTtbrvtNiwWCxaLhUqVKnH55ZfzzDPPkJ2d7euiiYh4VJCvCyAiIiIiIiLlU2xsLB999BGZmZksXbqUf/zjHwQHBzN58mRfF01ExGPUsk1Eyr0+ffrwz3/+k0mTJlG7dm3Cw8N56qmnbI9bLBbee+89hgwZQpUqVWjbti1JSUn89ttv9OnTh7CwMLp3787evXt9txMiIiIiZVBISAjh4eFcdtll3HPPPfTv35///e9/AGRmZvLggw8SERFBWFgY0dHRrF692vbcEydOMHbsWCIiIqhSpQrt27dnzpw5Rb7el19+SY0aNfj0008BWL16Nd26dSMsLIyaNWvSo0cPDhw44HT5i7uOBF1LiogjVbaJSIXwySefEBYWxsaNG5k+fTrPPPMMy5cvtz3+7LPPcsstt7B9+3batGnDjTfeyN13383kyZPZvHkzhmFw7733+nAPRERERMq+ypUrc+HCBQDuvfdekpKSmDt3Ljt37mTkyJHExsayZ88eADIyMujSpQtffvklu3bt4q677uLmm29m06ZNptuePXs2Y8eO5dNPP2XcuHFkZ2czbNgwrr76anbu3ElSUhJ33XUXFovFpTIXdx0JupYUEXsWwzAMXxdCRMST+vTpQ05ODmvXrrUt69atG9dccw0vvvgiFouFxx9/nGeffRaA7777jpiYGP79739zxx13ADB37lxuv/12zp8/75N9EBERESlrbrvtNk6dOsWiRYswDIPExESGDBnCfffdx3333Ufz5s05ePAgjRo1sj2nf//+dOvWjRdeeMF0m0OGDKFNmza8/PLLgPU678orr6Rly5Y89thjLF68mKuvvhqAkydPUqdOHVavXm1b5qririMBXUuKiAON2SYiFUKHDh3s7jds2JBjx46ZPt6gQQMA2rdvb7csIyODM2fOUL16dQ+XVkRERKR8WLJkCVWrViUrK4vc3FxuvPFGnnrqKVavXk1OTg6tWrWyWz8zM5M6deoAkJOTwwsvvMBnn31GcnIyFy5cIDMzkypVqtg9Z8GCBRw7doz169dz1VVX2ZbXrl2b2267jYEDB3LttdfSv39/Ro0aRcOGDV3ah+KuIwuuo2tJEVFlm4hUCMHBwXb3LRYLubm5po/ndS0wW5b/OSIiIiJStL59+/LOO+9QqVIlGjVqRFCQ9StoWloagYGBbNmyhcDAQLvnVK1aFYCXXnqJ1157jZkzZ9K+fXvCwsKYMGGCrRtqnk6dOrF161Y+/PBDunbtatdN9KOPPuKf//wny5YtY968eTz++OMsX76cv/zlL07vQ3HXkQXX0bWkiKiyTURERERERDwiLCyMyy+/3GF5p06dyMnJ4dixY/Tq1cv0uevXrycuLo6bbroJsFZU/frrr0RFRdmt16JFC1555RX69OlDYGAgb775psNrderUicmTJxMTE8Ps2bNdqmwTEXGVJkgQERERERERr2rVqhXjxo3jlltuISEhgX379rFp0yamTp3Kl19+CUDLli1Zvnw5GzZs4KeffuLuu+8mNTW10O2tWrWKzz//nAkTJgCwb98+Jk+eTFJSEgcOHOCbb75hz549tG3b1lu7KSIVlCrbRERERERExOs++ugjbrnlFv71r3/RunVrhg0bxvfff0+TJk0AePzxx+ncuTMDBw6kT58+hIeHM2zYsEK317p1a1auXMmcOXP417/+RZUqVfj555+54YYbaNWqFXfddRf/+Mc/uPvuuwHYv38/FouF1atXe2FvRaQi0WykIiIiIiIiUuGsWrWK+Ph4fv/9d2rVquXr4ohIOaKWbSIiIiIiIlLhLF26lEcffVQVbSLidmrZJiIiIiIiIiIi4iZq2SYiIiIiIiIiIuImqmwTERERERERERFxE1W2iYiIiIiIiIiIuIkq20RERERERERERNxElW0iIiIiIiIiIiJuoso2ERERERERERERN1Flm4iIiIiIiIiIiJuosk1ERERERERERMRNVNkmIiIiIiIiIiLiJqpsExERERERERERcZP/BwmnXC7Lq+ZUAAAAAElFTkSuQmCC", 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" ] @@ -796,12 +863,12 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 29, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -868,7 +935,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ @@ -910,7 +977,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -918,9 +985,9 @@ "output_type": "stream", "text": [ "\n", - "Neon calibration spe (cm-1) reference (nm) model (nm) Calibration curve 23 points) thin_plate_spline\n", + "Neon calibration spe (cm-1) reference (nm) model (nm) Calibration curve 22 points) (PchipInterpolator)\n", "\n", - "Laser zeroing using 818.3430703906921 nm 520.45 cm-1 (Pearson4) spe (nm) reference (cm-1) model (nm) 818.3430703906921\n" + "Laser zeroing using 818.3581697620177 nm 520.45 cm-1 (Pearson4) spe (nm) reference (cm-1) model (nm) 818.3581697620177\n" ] } ], @@ -938,7 +1005,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 32, "metadata": {}, "outputs": [ { @@ -971,21 +1038,21 @@ " \n", " \n", " 0\n", - " 818.34307\n", - " 0.43885\n", + " 818.35817\n", + " 0.438018\n", " 0.269451\n", - " 0.145865\n", + " 0.145588\n", " \n", " \n", "\n", "" ], "text/plain": [ - " center fwhm height amplitude\n", - "0 818.34307 0.43885 0.269451 0.145865" + " center fwhm height amplitude\n", + "0 818.35817 0.438018 0.269451 0.145588" ] }, - "execution_count": 23, + "execution_count": 32, "metadata": {}, "output_type": "execute_result" } @@ -997,12 +1064,12 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 33, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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cFxMMwBYFxkREGqTrr78ek8nE22+/TUBAAA8++CAPPPAAs2fPZt++fWzYsIE333yT2bNnV9jHvffeS0ZGBmPHjmXt2rXs27eP3377jdtvv73SXQwranfvvfdWufuh3eDBgxk0aBBjxoxhwYIFHDhwgF9//ZX58+cD8Mgjj7BixQomTpxIQkICe/bs4X//+1+lyfdfe+01/ve//7F37162bt3KpEmT+PPPP7n33nudxv7ZZ5/xxRdfEBAQQEpKCikpKRQU2H6nBgUFceeddzJ58mQWLVrE+vXruf322xk4cKDTjo2dOnXihx9sf+gKDQ2lW7duTg9PT08iIyMdM8FWrlzJa6+9xqZNm9i/fz+ff/65Y4OEpuXNRHThe+ROKSkpJCQksHfvXgC2bNlCQkICGRkZbn8tu2oHxr766ismT57MU089xYYNG+jRowcjRoxwrBM90+LFixk7diyLFi1i5cqVtGjRguHDh5N0xtrnkSNHkpyc7Hh8+eWXZ3dFIiIiIlK5lK2w/X+AAQY/6lzWtDX4BENpMRzb7nj6sx2fUUQR7YPbM7TVyb9Gx8ZC27YU+vUAwMMvifEXOyfj7d48CIBDGfmcyCtGREQaFg8PDyZOnMj06dPJy8vjueee44knnmDq1Kl07tyZkSNH8ssvv5SZEXW66Oholi9fTmlpKcOHD6d79+5MmjSJ4OBgjMaKwxbltZs8eTJBQUGVtjvTd999R9++fRk7dixdunTh4YcfdgTW4uLiWLJkCbt37+biiy8mPj6eJ598stKlf8XFxfz73/+me/fuDB48mE2bNvHHH39w2WWXOeq88847ZGVlMWTIEKKiohyPr776ylHn1Vdf5W9/+xtjxoxh0KBBREZG8v333zu91q5duxw7WrrC29ubOXPmMHjwYLp27crzzz/PAw88wHvvvXfW3yN3mjlzJvHx8YwfPx6AQYMGER8fz4+VzYg8Rwar1WqtToP+/fvTt29fx64TFouFFi1acN999/Hoo49W0dq2vrVp06a89dZbjBs3DrDNGMvMzGTu3LnVvwIgOzuboKAgsrKyCAwMPKs+RGqT2Wxm3rx5jB49usw6bBE5O7qvRCrx1T9gx0/Q9Rq4flbZ8k+uhv2L4G+vQp87yCrKYsS3I8gryeOli19iZJtTM/stFisj3phPStOHAVh24zKCvIOcurtkxmIOpOUx+45+DO7QrAYvTKR+0e+qxqmwsJADBw7QunXrcnc0lHNjX0oZGBhYreCY1E+V3U+uxoqqlWOsuLiY9evXM2XKqTwURqORoUOHsnLlSpf6yM/Px2w2l1lLunjxYsLDw2natCmXXnop/+///T9CQ8tP0FpUVETRaTt0ZGdnA7ZfLGazuTqXJFIn2N+3ev+KuI/uK5EKpGzBc8dPWDFQcuGDUM49YozsiWn/IiyH11Ha4xY+2vIReSV5RBojuSjiIqf76tetKexJsRDgHwqe6WxO3cyAqAFO/XWNCuBAWh4bD2ZwQevgmr5CkXpDv6saJ7PZ7NjV0J6IXNzHPvfH/j2Whs1isWC1WjGbzZhMJqcyV/9trVZgLC0tjdLSUiIiIpyej4iIYOfOnS718cgjjxAdHe2UEG7kyJFce+21tG7dmn379vHYY48xatQoVq5cWebCAKZOncozzzxT5vnff/8dv3PcYUOkNi1YsKC2hyDS4Oi+EnHWb/9rRAFJTfuzfu0+YF+ZOlGZpfQDcnYv5Zefv+GzbNtOlJf5XsbCPxY66lms8OImE2AgjGjSSOeHlT+Q4eOcB8Qj2wCYWLhhN63zXfvMKNKY6HdV4+Lh4UFkZCS5ubkUF2uJeU3Jycmp7SHIeVBcXExBQQF//fUXJSUlTmX5+fku9XFed6WcNm0ac+bMYfHixU5T3G688UbHeffu3YmLi6Nt27YsXrzYaQ2u3ZQpU5h82k4d2dnZjtxlWkop9ZHZbGbBggUMGzZM0+hF3ET3lUg5kjfhuXEDVoORiL+/yuiw9uXXy+4Jb75BYGESyVGHKM4upmNwRzpZOzndUz9tTiZl1RYCfTz4e69L+O+WLZSElTB60Gin7sIPnmDuB2s5VuLL6NGu71Im0tDpd1XjVFhYyOHDh/H399dSyhpgtVrJyckhICAAg8FQ28ORGlZYWIivry+DBg0qdymlK6oVGAsLC8NkMpGamur0fGpqKpGRkZW2nTFjBtOmTeOPP/4gLi6u0rpt2rQhLCyMvXv3lhsY8/b2xtvbu8zznp6e+oUi9ZrewyLup/tK5DTLZgBg6HYdnlFdKq4X0hL8IziRf5yv9n4LwL/i/kXe5jzHPVVqsfLWt2sAX8aXHKRvdC/YAjtO7Chzz/VoGYLRAKk5RWQUlBIRqP8IipxOv6sal9LSUgwGA0ajUTmwaoB9+aT9eywNm9FoxGAwlPvvqKv/rlbrXeLl5UXv3r1ZuPC0KfQWCwsXLmTgwIEVtps+fTrPPfcc8+fPp0+fPlW+zpEjR0hPTycqKqo6wxMRERGRiiRtgN2/gsEIgx+pvK7BANHxzAoKpKC0iK6hXRkUM8ipyo+bkthv9SW4IJvbPp9O59DOGDCQkpdCWkGaU10/Lw/ahwcAsOlwpjuvSkREROScVDt8OnnyZN5//31mz57Njh07mDBhAnl5edx+++0AjBs3zik5/4svvsgTTzzBRx99RGxsLCkpKaSkpJCbmwtAbm4uDz30EKtWrSIxMZGFCxdy1VVX0a5dO0aMGOGmyxQRERFp5BZPsx3jboCwdlVWT4vozJxAfwDu6XmP03KUklILr/+xB4Dxa34gwFxIE88mtAlqA8D29O1l+otrbtupckuS61vKi4iIiNS0agfGbrjhBmbMmMGTTz5Jz549SUhIYP78+Y6E/IcOHSI5OdlR/5133qG4uJjrrruOqKgox2PGDNtUfpPJxObNm7nyyivp0KEDd955J71792bp0qXlLpcUERERkWo6sg72/AYGEwx6yKUmH5emUWA0Eldq4OKYi53K5iYcJTE9nxAvA7e+OAn+9z8AuoZ1BWBr2tYy/cW1CAZg0xEFxkRERKTuOKvk+xMnTmTixInlli1evNjp68TExEr78vX15bfffjubYYiIiIiIKxZPtR173AihbausnlaQxtfHVgEw4fgxDEU5YPIFwFxq4Y2Fttlid1/WEf9Bp/rrGtqVH/f9WG5grMfJGWObj2RitVqVEFlERETqBGWiExEREWnIDq+BvX+cnC32oEtNPtzyIYWlRcSVWLmwoACSNznK5iYkcygjn9AmXowb2MqpnX3G2Lb0bVitVqeyjpEBeJoMZOabOZxRcI4XJSIiAPnFJcQ++guxj/5CfnFJbQ9HpF5SYExERESkIbPPFus5FkLaVFn9eP5xvtn9DQD3+rbFAHB0AwAlFvjv4n0ATBjSFj8v58UHnUI64WHwIKMwg5S8FKcybw8TnaMCAdiclHn21yMiInWawWBg7ty5bu/36aefpmfPntVqM2TIECZNmlTr45C6TYExERERkYbq0CrY9ycYPVzOLfbh1g8pKi0iPjyegS0G2548uhGANccNHMksJMzfm5v7t4ItW2DDBtsR8DZ5075pe8A2a+xMcY7llMozJiJSHx0/fpwJEybQsmVLvL29iYyMZMSIESxfvtxRJzk5mVGjRrn9tR988EEWLlxYrTbff/89zz33nNvHIg3LWeUYExEREZF6YNELtmPPm6FpbJXVU/NS+WaXbbbYPT3vwVBQaCtI2kBRiYXfj9j+pnrPkLb4eplg1ChISoKYGDhyBIAuoV3YkbGDrWlbGdpqqFP/cc2DgUNsOpzphosTEZHzbcyYMRQXFzN79mzatGlDamoqCxcuJD093VEnMjLSra9ptVopLS3F398ff3//arUNCQlx61ikYdKMMREREZGG6OAKOLAEjJ4u5xb7YMsHFFuK6RXei/6R/SGqp60g8yA/rdrKiWID4QHe3NS/ZYV9dAvrBsDW9HJ2pjw5Y2xrUhalFmuZchERqbsyMzNZunQpL774IpdccgmtWrWiX79+TJkyhSuvvNJRr6qllEVFRdx///2Eh4fj4+PDRRddxNq1ax3lixcvxmAw8Ouvv9K7d2+8vb1ZtmxZmSWMJSUl3H///QQHBxMaGsojjzzCrbfeyjXXXOOoc+ZSytjYWF544QXuuOMOAgICaNmyJe+9957T+B555BE6dOiAn58fbdq04YknnsBsNp/9N07qPAXGRERERBoi+2yx+H9AcMWBLLuUvBS+2/MdAPf2vNe2a6RvMITYdp1cufxPAP41qDU+niZbo1tvhXvusR1P6hpqS8C/PW17mQT87Zr54+tpIq+4lANpuedydSIiDYrVaiW/uKTSR1puYZlHem6Ro4/03KJy61TV75n/VlfEPmNr7ty5FBUVVd2gAg8//DDfffcds2fPZsOGDbRr144RI0aQkZHhVO/RRx9l2rRp7Nixg7i4uDL9vPjii3z++ed8/PHHLF++nOzsbJdym7388sv06dOHjRs3cs899zBhwgR27drlKA8ICGDWrFls376d119/nffff59XX331rK9X6j4tpRQRERFpaBKXQeJSMHnBxf92qckHWz7AbDHTN7Iv/aL6nSqI6QUZ+2hZsItgr878vXfMqbLnny/TT7um7fA2eZNjzuFQziFaBZ7audLDZKRbTCBrE0+w6XAW7cIDzvoSRUQakgJzKV2e/O2c+rh4+uKzarf92RFlNlMpj4eHB7NmzWL8+PHMnDmTXr16MXjwYG688cZyA1flycvL45133mHWrFmOPGTvv/8+CxYs4MMPP+Shh07lw3z22WcZNmxYhX29+eabTJkyxTFD7K233mLevHlVjmH06NHcc889gG122KuvvsqiRYvo2LEjAI8//rijbmxsLA8++CBz5szh4Ycfdukapf7RjDERERGRhsRqPTVbrNc4CG5RZZPk3GTHbLF7etzjVGaO7AlAnHE/w2IseNtni1XA0+hJxxDbfy62pZWXgD8YgM1HMqscl4iI1C1jxozh6NGj/Pjjj4wcOZLFixfTq1cvZs2a5VL7ffv2YTabufDCCx3PeXp60q9fP3bs2OFUt0+fPhX2k5WVRWpqKv36nfpDjslkonfv3lWO4fQgnsFgIDIykmPHjjme++qrr7jwwguJjIzE39+fxx9/nEOHDrl0fVI/acaYiIiISENy4C84uNw2W+yiyS41eW/Le5RYSugf2Z8+kc7/Efn9RDSXA/GmA+SEu7bcpmtoVzYf38zW9K2MbjPaqcyeZ2yTdqYUEXHw9TSx/dkRldbJLy4p81xBcaljptjSh4fYNkY5Q1WzwXyr+IPHmXx8fBg2bBjDhg3jiSee4K677uKpp57itttuq1Y/VWnSpIlb+7Pz9PR0+tpgMGCxWABYuXIlN998M8888wwjRowgKCiIOXPm8PLLL9fIWKRuUGBMREREpKGwWmHxVNt579sgKKbS6gBJuUnM3TMXsO1EebqC4lKmbvRipNVAM0MG/qUnXBqGPQF/ZTPGtidnYy614GnSAgYREYPBUGUAq7zy04Nlof7eLi2JdLcuXbq4lNsLoG3btnh5ebF8+XJatbIttTebzaxdu9YpSX5VgoKCiIiIYO3atQwaNAiA0tJSNmzYQI8ePap7CQ4rVqygVatW/Oc//3E8d/DgwbPuT+oHBcZEREREGor9i+HQSjB5uzxb7P3N71NiLWFA1AB6RfRyKvts1UGO5BlI9G1BW+shgvMPODe+9FJITYWICPjzT8fT9gT8OzJ2UGopxWQ8NRshNtSPQB8PsgtL2JWSQ7eYoLO7VhEROa/S09O5/vrrueOOO4iLiyMgIIB169Yxffp0rrrqKpf6aNKkCRMmTOChhx4iJCSEli1bMn36dPLz87nzzjurNZ777ruPqVOn0q5dOzp16sSbb77JiRMnbJvHnKX27dtz6NAh5syZQ9++ffnll1/44Ycfzro/qR8UGBMRERFpCE6fLdbnDgiMqrLJkZwj/G/v/wDbTpSnyy8uYeaSfQAYY3rBkUME5+137mD3bkhKgiznZZGxgbH4efiRX5LP/qz9tG/a3lFmMBiIax7Msr1pbD6SpcCYiEg94e/vT//+/Xn11VcducJatGjB+PHjeeyxx1zuZ9q0aVgsFm655RZycnLo06cPv/32G02bNq3WeB555BFSUlIYN24cJpOJu+++mxEjRmA0nv1M5CuvvJIHHniAiRMnUlRUxOWXX84TTzzB008/fdZ9St2nwJiIiIhIQ7DvTzi8Gjx84KJJLjV5b/N7lFhLuDD6QnqG93Qq+2TlQdLzimkZ4kfL7hfCkbkE5yc6d+DvDwEBtuNpTEYTnUM7sz51PdvStzkFxgC6Nw86GRjL5Kb+Lat5oSIiUhu8vb2ZOnUqU6dOrbSe1Vp5PkofHx/eeOMN3njjjXLLhwwZUm4fTz/9tFOAysPDgzfffJM333wTAIvFQufOnbn++usddRYvXuzUR2JiYpl+ExISnL6ePn0606dPd3ru9GWeZ45D6j8ldRARERGp707fibLPnRAQWWWTQ9mH+HHfj0DZ3GK5RSW8e3K22P2XtcfU3LbLV3D+fttr2e3cCdnZtuMZuoXa8oxtTdtapqzHyQT8m5WAX0REztLBgwd5//332b17N1u2bGHChAkcOHCAsWPH1vbQpJ7RjDERERGR+m7vH5C0Djx8XZ4t9u7mdym1lnJRzEXENYtzKpu9IpET+WZahzXh6p7RYG2G1eiJd2ku5qzD0Kxtlf3bE/BvT99epsyegH9Xag6F5lJ8qrkjmoiI2Ph5eZA47fLaHkatMBqNzJo1iwcffBCr1Uq3bt34448/6Ny5M9nZ2bU9PKlHFBgTERERqc9Ony3W7y7wD6+yycHsg/y8/2egbG6xnEIz7/1lyyV2/2Xt8DAZAW+s4V0wpGzCkLzRpcCYPQH/zoydmEvNeJo8HWVRQT6E+XuTllvEtqPZ9G5VvbwyIiIiLVq0YPny5WWet1gstTAaqc+0lFJERESkPtvzOxzdAJ5+cMH/udTk3U3vYrFaGNx8sGNml92s5YlkFZhp06wJV/aIcTxvjY4HwHB0o0uv0TygOYFegZgtZnZn7nYqsyXgty+nzHSpPxEREZGaoMCYiIiISH3lNFtsPPg3q7LJgawD/HLgFwAm9JzgVJZVYOb9pbbZYv93WXtMxlNb3lujegJgSE441eCtt2DqVNvxDAaDwTFrbFvatjLl9sDYFuUZExERkVqkpZQiIiIi9dWuXyE5ATybuDxbbOammVisFoa0GOIIXNl9tOwA2YUltA/3529x0U5l1qiTM8ZSNoHFAkYjTJsGSUkQEwMTJ5Z5rW5h3ViZvJJt6WUDYz1O5hnbpBljIiIiUos0Y0xERESkPrJaYfFU23n/u6FJaJVN9mfu59cDvwJwTw/nnSiz8s18tOwAAJOGdnCaLQZAs46UGLwwFOVAxj6Xhtg1rOIZY91Pzhjbn5ZHTqHZpf5ERERE3E0zxkRERETqo52/QMpm8PKHC+53qcnMTTOxYuWylpfRObSzU9kHy/aTU1RCp8gARnWLLNvY6EGWXytC8/ZA0gYIaw8ffQSFheDjU+7r2Wek7c3cS0FJAb4evo6yMH9vYoJ9ScosYEtSFhe0DXPxwkVERETcRzPGREREROobiwUWT7Od9/8X+IVU2WTvib3MT5wPwIQezrnFTuQV8/HyRAAmDW2P8czZYidl+rW2nRzdYDsOHw5XXmk7liPCL4Iw3zBKraXsythVplx5xkREzlFxHjwdZHsU59X2aETqJQXGREREROqbnT9D6hbwDoSB97rUZOZm22yxYa2G0TGko1PZ+0v3k1tUQueoQIZ3KWe22EmnAmOu7UzplIC/nDxjcSfzjG1WYExERERqiQJjIiIiIvWJxXJabjHXZovtPrGb3xJ/A+BfPf7lVJaeW8SsFYkAPFDJbDGATL82tpPkzVBa4tJw7XnGtqZtLVPW4+SMMSXgFxFpOAwGA3Pnzq20Tnp6OuHh4SQmJp6XMZ2rIUOGMGnSJMfXsbGxvPbaa46vXbnmuuDM6xgwYADfffdd7Q2ojlBgTERERKQ+2fE/OLYdvINg4D1V18eWWwxgROwIOjTt4FT23tL95BeX0i0mkGFdIirtJ9c7Aqt3AJQUwPGdkJwMR47YjhXoFtoNKH/GWNcYW2DsyIkC0nOLXLoWERGpPcePH2fChAm0bNkSb29vIiMjGTFiBMuXL3fUSU5OZtSoUZX28/zzz3PVVVcRGxsLQGJiIgaDgfDwcHJycpzq9uzZk6efftrdl3JO1q5dy913331eXuvMYJY7Pf744zz66KNYLJYa6b++UGBMREREpL6wWGDxi7bzgfeAb9Mqm+zK2MWCgwswYCiTW+x4ThGfrDgIwANDO2AwVDxbDACDEWtkD9v50Q3Qty+0aGE7VsA+YywxK5Hc4lynsiBfT9qENQFgS5KWU4qI1HVjxoxh48aNzJ49m927d/Pjjz8yZMgQ0tPTHXUiIyPx9vausI/8/Hw+/PBD7rzzzjJlOTk5zJgxo0bG7k7NmjXDz8/vnPowm2t/R+ZRo0aRk5PDr7/+WttDqVUKjImIiIjUFzt+hOM7wCcIBkyouj7w7uZ3ARgZO5K2wW2dyj5Ytp8Ccyk9mgdxaadwl/qzRsfbTlzMMxbiE0J0k2isWNmRsaNMuT0Bv/KMiUijZrXakudX9sg9Xs4j7VQfuWnl16mqX6vVpSFmZmaydOlSXnzxRS655BJatWpFv379mDJlCldeeaWjXlXLCufNm4e3tzcDBgwoU3bffffxyiuvcOzYsQrbFxUV8eCDDxITE0OTJk3o378/ixcvrnLs//znP4mIiMDHx4du3brx888/A7ZlnWPHjiUmJgY/Pz+6d+/Ol19+WWl/Zy6lhFMz5Xx9fWnTpg3ffvuto8w+I+6rr75i8ODB+Pj48Pnnn1f52rfddhtLlizh9ddfx2AwYDAYHMtPt27dyqhRo/D39yciIoJbbrmFtLRT74e8vDzGjRuHv78/UVFRvPzyy2Wuw2QyMXr0aObMmVPp9TZ0HrU9ABERERFx0Y6fbMc+d9iCY1UoLi3mryN/AXBH9zvKlP++LRWAfw1uW/VssZOsUT1tJ0kb4PLLISMDQirPc9Y1rCtH846yNW0rfSOdZ5fFNQ9mbsJRNivPmIg0ZuZ8eCH63Pp4I+7s2j12FLyaVFnN398ff39/5s6dy4ABAyqdFVaZpUuX0rt373LLxo4dy4IFC3j22Wd56623yq0zceJEtm/fzpw5c4iOjuaHH35g5MiRbNmyhfbt25epb7FYHDOjPvvsM9q2bcv27dsxmUwAFBYW0rt3bx555BECAwP55ZdfuOWWW2jbti39+vVz+bqeeOIJpk2bxuuvv86nn37KjTfeyJYtW+jcubOjzqOPPsrLL79MfHw8Pj4+Vb7266+/zu7du+nWrRvPPvssYJutlpmZyaWXXspdd93Fq6++SkFBAY888gh///vf+fPPPwF46KGHWLJkCf/73/8IDw/nscceY8OGDfTs2dNp3P369WPatGkuX2dDpMCYiIiISH1gtULiMtt528tcarIlbQtFpUWE+ITQsanzTpQpWYUcSMvDaIAL2oW5PoyokzPGUrfB27+DR9X/Meoa2pUFBxeUm4A/zpGAPwur1epygE5ERM4vDw8PZs2axfjx45k5cya9evVi8ODB3HjjjcTFuR6UO3jwINHR5QcBDQYD06ZN44orruCBBx6gbVvnmc6HDh3i448/5tChQ44+HnzwQebPn8/HH3/MCy+8UKbPP/74gzVr1rBjxw46dLDl2WzTpo2jPCYmhgcffNDx9X333cdvv/3G119/Xa3A2PXXX89dd90FwHPPPceCBQt48803+e9//+uoM2nSJK699lqndpW9dlBQEF5eXvj5+REZeWrX6Lfeeov4+Hin6/3oo49o0aIFu3fvJjo6mg8//JDPPvuMyy6zfWaYPXs2zZs3LzPu6OhoDh8+jMViwWhsnIsKFRgTERERqQ8y9kNuCpi8oXnFOb1Oty5lHQB9I/uWCTitPmDLB9M1OoggX0/XxxHUAnxDoCADUrdCTPl/9T+dPc9YuQn4o4MwGQ0czykiNbuIyCAf18ciItJQePrZZm5Vpji//OfsM8Xu3wxe5eS9Ku+5M1/bRWPGjOHyyy9n6dKlrFq1il9//ZXp06fzwQcfcNttt7nUR0FBAT4+Ff9bP2LECC666CKeeOIJvvjiC6eyLVu2UFpa6ghw2RUVFREaGlpufwkJCTRv3rxMG7vS0lJeeOEFvv76a5KSkiguLqaoqKjaOcQGDhxY5uuEhASn5/r06eOW1960aROLFi3C39+/TNm+ffsoKCiguLiY/v37O54PCQmhY8eOZer7+vpisVgoKirC19e3qstskBQYExEREakPEpfajs37gqdrwaO1qWsB6BtRNpC2ar8tMDagTeXLIMswGCCmF+z9w7ac0oXAWJfQLgAk5SZxovAETX1ObRrg62Wifbg/O1Ny2HQkk8igyIq6ERFpuAyGqpczlldenHfq3D/MpSWR58rHx4dhw4YxbNgwnnjiCe666y6eeuoplwNjYWFhnDhxotI606ZNY+DAgTz00ENOz+fm5mIymVi/fr1jKaRdeUEioMpgz0svvcTrr7/Oa6+9Rvfu3WnSpAmTJk2iuLjYhaupniZNnH8+Z/vaubm5XHHFFbz44otlyqKioti7d6/LY8rIyKBJkyaNNigGSr4vIiIiUj/Yl1HGXuhS9eLSYjYd2wRAn8g+ZcpX7c8AYECb8v/CXqnoXrbj0QSXqgd6BRIbGAvA9vTtZcpPJeDPrP5YRESkVnXp0oW8vLyqK54UHx/P9u1lfxecrl+/flx77bU8+uijZdqWlpZy7Ngx2rVr5/Q4fanh6eLi4jhy5Ai7d+8ut3z58uVcddVV/OMf/6BHjx60adOmwrqVWbVqVZmvT88vdrav7eXlRWlpqdNzvXr1Ytu2bcTGxpb5PjRp0oS2bdvi6enJ6tWrHW1OnDhR7nVt3bqV+Pj46l5ug6LAmIiIiEhdd3p+sdiLXGqyNW0rhaWFhPiE0CaojVPZ6fnF+sRWc8YYgH1nylVzYcgQuP76KpvYZ42Vn2csGNDOlCIidVl6ejqXXnopn332GZs3b+bAgQN88803TJ8+nauuusrlfkaMGMG2bduqnDX2/PPP8+eff7Jr1y7Hcx06dODmm29m3LhxfP/99xw4cIA1a9YwdepUfvnll3L7GTx4MIMGDWLMmDEsWLCAAwcO8OuvvzJ//nwA2rdvz4IFC1ixYgU7duzgn//8J6mpqS5fj90333zDRx99xO7du3nqqadYs2YNEydOrLSNK68dGxvL6tWrSUxMJC0tDYvFwr333ktGRgZjx45l7dq17Nu3j99++43bb7+d0tJS/P39ufPOO3nooYf4888/2bp1K7fddlu5OcSWLl3K8OHDq329DYkCYyIiIiJ1XcZ+yEkGk5fL+cXWptiWUfaJ6OO+/GJ29sCYVy6sWAIrV1bZpFtYNwC2ppcNjPU4LTBmtVqrPx4REalx/v7+9O/fn1dffZVBgwbRrVs3nnjiCcaPH1/hDpLl6d69O7169eLrr7+utF6HDh244447KCwsdHr+448/Zty4cfz73/+mY8eOXH311axdu5aWLVtW2Nd3331H3759GTt2LF26dOHhhx92zMJ6/PHH6dWrFyNGjGDIkCFERkZy9dVXu3w9ds888wxz5swhLi6OTz75hC+//JIuXbpU2saV137wwQcxmUx06dKFZs2aOTYeWL58OaWlpQwfPpzu3bszadIkgoODHcGvl156iYsvvpgrrriCoUOHctFFF5XZDTQpKYkVK1Zw++23V/t6GxLlGBMRERGp6+yzxZr3BU/XcoCsSz2VeP9MZ51fzC4wCgKibMG6SBNYqm7SNdSWgH97WtnlMx0jA/AyGckqMHMoI59WoTWfI0dERKrH29ubqVOnMnXq1ErrufIHjieffJKHHnqI8ePHYzQaiY2NLbfdu+++y7vvvuv0nKenJ8888wzPPPOMy2MPCQnho48+qrBs7ty5lbZfvHix09eJiYlOX9vHfs8995TbvqLrc+W1O3TowMpy/gDVvn17vv/++wrb+fv78+mnn/Lpp586njszZ9sbb7zBbbfdVu5ulY2JZoyJiIiI1HX2wFgr1/KLmUvNJBxLAGwzxs50TvnF7Ox5xj5/Gfbtq7J6p5BOGA1GjhUc41j+MacyLw8jnaMCANik5ZQiIq7zagJPZ9ke5yHxvrtcfvnl3H333SQlJdX2UBq18PBwnnvuudoeRq1TYExERESkLjub/GLptvxiTb2b0ja4rVPZOecXs4s5uZzy2Bbw9q6yup+nn2Ms29K2lSl35Bk7nHn2YxIRkXpj0qRJtGjRoraH0aj9+9//JiIioraHUevOKjD29ttvExsbi4+PD/3792fNmjUV1n3//fe5+OKLadq0KU2bNmXo0KFl6lutVp588kmioqLw9fVl6NCh7Nmz52yGJiIiItKwZOyHnKNnl18ssgbyi9nZ84wlbXC5iX05ZXl5xhw7UyZpxpiIiIicP9UOjH311VdMnjyZp556ig0bNtCjRw9GjBjBsWPHyq2/ePFixo4dy6JFi1i5ciUtWrRg+PDhTlMmp0+fzhtvvMHMmTNZvXo1TZo0YcSIEWWS7ImIiIg0OgeX244xfcDLz6Um61JqML+YnX0pZcY+KMh0qUm3UFsC/m3pZWeM9WgRDMDWpCxKLUrALyIiIudHtQNjr7zyCuPHj+f222+nS5cuzJw5Ez8/vwoT2X3++efcc8899OzZk06dOvHBBx9gsVhYuHAhYJst9tprr/H4449z1VVXOXZwOHr0aJVJ6EREREQavGouozSXmkk4ngBA34jyAmNuyC8G4BcCnif7+PwVl5p0DbPNGNuWtq1MEuK2zfzx8zKRX1zKvuO55zY2ERERERdVa1fK4uJi1q9fz5QpUxzPGY1Ghg4dWu4uCeXJz8/HbDYTEmL7K+WBAwdISUlh6NChjjpBQUH079+flStXcuONN5bpo6ioiKKiIsfX2dnZAJjNZsxmc3UuSaROsL9v9f4VcR/dV9IgWK14HFiKAShpPgCrC+/nTcc3UVBSQLB3MC2btHS6B1KzT+UX6xkTUK37o7x7ymNXFoY2YP3+HUpufaLKPlr7t8bD6EFmUSYHMw8S4x/jVN4lKoB1BzPZkJhO6xAfl8cmUl/pd1XjZDabsVqtWCwWLBYXtvWVarH/4cX+PZaGzWKxYLVaMZvNmEwmpzJX/22tVmAsLS2N0tLSMsnZIiIi2Llzp0t9PPLII0RHRzsCYSkpKY4+zuzTXnamqVOnlrs16++//46fn2tLDETqogULFtT2EEQaHN1XUp/5FaUyLOcoFoOJ+dvSKd0xr8o2iwsXAxBjieHXX391KlufZgBMxPhZWbbo7O6N0++p0ckWPNuAJcTMvHlVjw0g3BDOUY7y+R+f082rm1OZf7ERMPLLii34pmw6q/GJ1Ef6XdW4eHh4EBkZSW5uLsXFxbU9nAYrJyentocg50FxcTEFBQX89ddflJSUOJXl5+e71Ee1AmPnatq0acyZM4fFixfj43P2fwWcMmUKkydPdnydnZ3tyF0WGBjojqGKnFdms5kFCxYwbNgwPD3PIRGyiDjovpKGwJDwOWwHmvdlxN+ucanNz3/+DClwedzljO442qlsxf+2A0cY3jOW0SM7Vmss5d1TxpSJkPwGxk7BjB49uooebBLWJPDt3m/xauXF6HjnNpbNySz+ZgtZnsGMHj2gWuMTqY/0u6pxKiws5PDhw/j7+5/T/4sB8s35DJwzEICVN67Ez1MTRaxWKzk5OQQEBJTZgEYansLCQnx9fRk0aFCZ+8m+urAq1QqMhYWFYTKZSE1NdXo+NTWVyMjIStvOmDGDadOm8ccffxAXF+d43t4uNTWVqKgopz579uxZbl/e3t54l7MtuKenp36hSL2m97CI++m+knrtsC1VhbH1xRhdeB+bLWY2pdlmWg2IGVDmvb828QQAF7Rrdtb3hdM9detDMO1NDCUn8CzKBP9mVbaPC4/j273fsvPEzjJjiG9ly1m2MzkXq8GEl8dZbaAuUu/od1XjUlpaisFgwGg0YjSe279zp7d3R38NgX35pP17LA2b0WjEYDCU+++oq/+uVutd4uXlRe/evR2J8wFHIv2BAwdW2G769Ok899xzzJ8/nz59+jiVtW7dmsjISKc+s7OzWb16daV9ioiIiDRoVuupxPutLnSpyba0bY78Ym2D2zqVpWYXsv9kfrE+see4I6WdTyCEtbedH93oUpMuoV0A2J6+HYvVOfdLq1A/gnw9KS61sCtFS2BEROojg8FQ5UZ66enphIeHk5iYeF7G1BAlJiZiMBhISEgAYPHixRgMBjIzMwGYNWsWwcHBtTY+V515Hdu3b6d58+bk5eWdtzFUO3w6efJk3n//fWbPns2OHTuYMGECeXl53H777QCMGzfOKTn/iy++yBNPPMFHH31EbGwsKSkppKSkkJtr223IYDAwadIk/t//+3/8+OOPbNmyhXHjxhEdHc3VV1/tnqsUERERqW9OJEL2ETB6Qot+LjVZl7oOgD4RfTAanD/mrdqfDkDX6CCCfN04MyW6l+14dINL1dsGt8XH5EOuOZfE7ESnMoPBQFzzIAA2J2W6b4wiIuIWx48fZ8KECbRs2RJvb28iIyMZMWIEy5cvd9RJTk5m1KhRlfbz/PPPc9VVVxEbGwucCo6Eh4eXyQ3Ws2dPnn76aXdfSrXExsby2muvlVs2ZMgQDAZDhY8lS5aclzFecMEFJCcnExQUVOOvdWYwy526dOnCgAEDeOUV13a8dodqB8ZuuOEGZsyYwZNPPknPnj1JSEhg/vz5juT5hw4dIjk52VH/nXfeobi4mOuuu46oqCjHY8aMGY46Dz/8MPfddx933303ffv2JTc3l/nz55/zemsRERGReuvgyf9kxPQGryYuNVmXcjIwFtmnTNmq/RkADGjjptliAEVFEN7ddu7ijDEPowedQjoBthluZ3IExg5nuWeMIiLiNmPGjGHjxo3Mnj2b3bt38+OPPzJkyBDS09MddSIjI8tNfWSXn5/Phx9+yJ133lmmLCcnxylWUFMMBoPbZqt9//33JCcnOz0OHjxIt27d6NOnD/3793fL61TFy8uLyMjIc8qrVlc2g7j99tt55513yiTTrylnteB24sSJHDx4kKKiIlavXu30g168eDGzZs1yfJ2YmIjVai3zOD3iazAYePbZZ0lJSaGwsJA//viDDh06nPVFiYiIiNR79mWUsRe5VN1sMbPhmG3WVt/IvmXKV5+cMTagTah7xgfQti2MnWQ7T9pgW/7pgm5htt0ot6WXDYx1jwkGYNORTDcMUESkfrBareSb8yt9pBekl3lkFGY4+sgozCi3TlX9Wl38tzszM5OlS5fy4osvcskll9CqVSv69evHlClTuPLKKx31qlpKOW/ePLy9vRkwoOwmK/fddx+vvPIKx44dq7B9UVERDz74IDExMTRp0oT+/fuzePFil66hJoSEhBAZGen0eO6550hLS+OHH36odMLP8uXLGTJkCH5+fjRt2pQRI0Zw4oQtH+j8+fO56KKLCA4OJjQ0lL/97W/s27evwr7OXEppN3fuXNq3b4+Pjw8jRozg8OHDjrKnn36anj178sEHH9C6dWvHWKt67datWwMQHx+PwWBgyJAhjrIPPviAzp074+PjQ6dOnfjvf//rNJ41a9YQHx+Pj48Pffr0YePGsn9YGzZsGBkZGedttt153ZVSRERERFxwen6xWNfyi21P305BSQFB3kG0C27nVFYj+cXsUkrBAuQdg+yjEBRTZZOuYV2B8meM9WhhmzG251guBcWl+HqZ3DpcEZG6qKCkgP5fnNvMolHfV758sSKrb1rt0m6W/v7++Pv7M3fuXAYMGFDprLDKLF26lN69e5dbNnbsWBYsWMCzzz7LW2+9VW6diRMnsn37dubMmUN0dDQ//PADI0eOZMuWLbRv3/6sxuRO//3vf/nkk09YtGgRzZs3r7BeQkICl112GXfccQevv/46Hh4eLFq0iNLSUgDy8vKYPHkycXFx5Obm8uSTT3LNNdeQkJDg8qYC+fn5PP/883zyySd4eXlxzz33cOONNzotfd27dy/fffcd33//PSaTyaXXXrNmDf369eOPP/6ga9eueHl5AfD555/z5JNP8tZbbxEfH8/GjRsZP348TZo04dZbbyU3N5e//e1vDBs2jM8++4wDBw7wf//3f2XG7eXlRc+ePVm6dCmXXXaZy9/7s6XAmIiIiEhdk3kQsg6D0QNauPYfpbUpa4HznF9s4EA4fhyK9oJvji3PmCuBsVBbYGxnxk5KLCV4GE99JI0M9KFZgDfHc4rYnpxF71ZuDuSJiMhZ8fDwYNasWYwfP56ZM2fSq1cvBg8ezI033khcXJzL/Rw8eJDo6OhyywwGA9OmTeOKK67ggQceoG1b541kDh06xMcff8yhQ4ccfTz44IPMnz+fjz/+mBdeeOHsL9AN/vrrLyZNmsR///tfLrjggkrrTp8+nT59+jjNqOratavjfMyYMU71P/roI5o1a8b27dvp1q2bS+Mxm8289dZbjlV+s2fPpnPnzo7AFtiWT37yySc0a3ZqZ+mqXtteNzQ0lMjISEe9p556ipdffplrr70WsM0s2759O++++y633norX3zxBRaLhQ8//BAfHx+6du3KkSNHmDBhQpmxR0dHc/DgQZeu81wpMCYiIiJS1ySeRX6xk4n3y1tGWSP5xQC++cZ2/PE+2PCJLc9Y5yuqbNYqsBX+nv7kmnPZl7mPjiEdHWUGg4EezYP4Y8cxNh1WYExEGgdfD19W37S60joFJQXlPmefKfbrtb/i6+Fbbt9VvbarxowZw+WXX87SpUtZtWoVv/76K9OnT+eDDz7gtttuc6mPgoKCSpcXjhgxgosuuognnniCL774wqlsy5YtlJaWlkm9VFRURGhoxakCRo0axdKlS52e69q1qyMfV6tWrdi2rews5uo4dOgQ1113HXfffTd33XVXlfUTEhK4/vrrKyzfs2cPTz75JKtXryYtLQ2LxeJ4HVcDYx4eHvTte+pzQadOnQgODmbHjh2OwFirVq2cgmJn+9p5eXns27ePO++8k/HjxzueLykpcWwIsGPHDuLi4px+/gMHDiy3P19fX/Lz8126znOlwJiIiIhIXXMW+cU2ptpydPSJKJt4v0byi50uOt4WGEtybWdKo8FIl9AurElZw7b0bU6BMbDlGftjxzE2K8+YiDQSBoOhyuWM5ZXnm08FDkJ8QlxaEnmufHx8GDZsGMOGDeOJJ57grrvu4qmnnnI5MBYWFubIo1WRadOmMXDgQB566CGn53NzczGZTKxfv96x7M/O39+/wv4++OADCgpOBRbbt2/PvHnziImxzXL29Dy32dQFBQVcc801dO3atcLdK8/k61t5QPKKK66gVatWvP/++0RHR2OxWOjWrZvbE+Q3aVL2D3Bn89q5ubkAvP/++2U2HDjzZ+WKjIyMMjMGa8pZJd8XERERkRpkD4y1ci2/2I70HeSX5BPkHUT7ps75VWo0v5hddC/b8ehGlxPw2/OMbU3bWqYs7mSesc1HtDOliEhd16VLF/Ly8lyuHx8fz/bt2yut069fP6699loeffTRMm1LS0s5duwY7dq1c3qcvqTvTDExMU51wTZTyv51q1atXB5/ee666y4yMjL45ptv8PBwbf5RXFwcCxcuLLcsPT2dXbt28fjjj3PZZZfRuXPnKoOJ5SkpKWHdunWOr3ft2kVmZiadO3eusI0rr23PKWbPhwYQERFBdHQ0+/fvL/OzsSfr79y5M5s3b6awsNDRbtWqVeWOY+vWrcTHx1f7ms+GZoyJiIiI1CUnDkLWobPKL9Y7vPf5yy92uvAuYPKCwkw4cQBC2lTZxJ5nrLydKXs0DwZgf1oe2YVmAn1qaNwiIuKy9PR0rr/+eu644w7i4uIICAhg3bp1TJ8+nauuusrlfkaMGMGUKVM4ceIETZs2rbDe888/T9euXZ0CTR06dODmm29m3LhxvPzyy8THx3P8+HEWLlxIXFwcl19++TldY2WSkpJISEhweq5Vq1Z88MEHfPPNN/z000+UlJSQkpLiVCcoKKjc2WFTpkyhe/fu3HPPPfzrX//Cy8uLRYsWcf311xMSEkJoaCjvvfceUVFRHDp0qEyQ0BWenp7cd999vPHGG3h4eDBx4kQGDBjgWEZZnqZNm1b52uHh4fj6+jJ//nyaN2+Oj48PQUFBPPPMM9x///0EBQUxcuRIioqKWLduHSdOnGDy5MncdNNN/Oc//2H8+PFMmTKFxMREZsyYUWYMiYmJJCUlMXTo0Gpf89nQjDERERGRusQ+Wyy6F3hXvCzkdGtTbYGxyvKL9W9dA7PF/vlPuP56uPc+iOxue87F5ZTdwmw5Snaf2E1xqfPSjJAmXjRvavtPxFbNGhMRqRP8/f3p378/r776KoMGDaJbt2488cQTjB8/vsIdJMvTvXt3evXqxddff11pvQ4dOnDHHXc4zS4C+Pjjjxk3bhz//ve/6dixI1dffTVr166lZcuWZ3VdrpoxYwbx8fFOj19++YX//ve/mM1mRo4cSVRUVJnHV199VeH1/f7772zatIl+/foxcOBA/ve//+Hh4YHRaGTOnDmsX7+ebt268cADD/DSSy9Ve8x+fn488sgj3HTTTVx44YX4+/tXOB47V17bw8ODN954g3fffZfo6GhHYPSuu+7igw8+4OOPP6Z79+4MHjyYWbNmOWaM+fv789NPP7Flyxbi4+P5z3/+w4svvlhmDF9++SXDhw8/55l8rjJYrS7Od6/DsrOzCQoKIisri8DAwNoejki1mc1m5s2bx+jRo895fbuI2Oi+knpr7j2Q8DlcNBmGPlVl9RJLCRd+eSH5Jfl8e8W3ZfJ1XTpjMfvT8vhgXB+Gdok462GVe081bw5JSRATA+/eCGvfh4ETYcTzVfZntVoZ/NVgThSd4MvLv3QEyuzu+Xw987ak8MjITkwYcn5yjIicb/pd1TgVFhZy4MABWrduXWkSelfkm/Pp/4VtdvHqm1aflxxj7vDLL7/w0EMPsXXrVoxG987XsVgsZGdnExgY6Pa+peYVFxfTvn17vvjiCy68sOqUEpXdT67GivQuEREREalLEk/umhVbvfxigV6BFeYXMxigb03MGDtd9Mk8IEc3ulTdYDDQJawLUEGesZPLKZWAX0SkYn6efmy5dQtbbt1Sb4JiAJdffjl33303SUlJtT0UqWMOHTrEY4895lJQzF2UY0xERESkrjhxEDIPgcEELQa41MS+jLJ3RGX5xQJrJr/Y2rVQWgomE5gybc8dTQBLKRir3oGqW2g3lictryAwpgT8IiIN2aRJk2p7CFIHnb5BwvmiwJiIiIhIXXFwue0YU438YilV5xcb0DrUPeM7U1TUqXNLOHg2AXMepO2B8E5VNq8sAX/3GFtgLCmzgPTcIkL9vd0zZhEREZHTaCmliIiISF2ReDIwFnuRS9VLLCVsPGZbulheYGz1yRljA9rUUGDsdEYTRPWwnR+tXgL+/Vn7yTfnO5UF+HjSplkTQLPGREREpOYoMCYiIiJSVzjyi7kWGNuZsZM8cx6BXoF0aNrBqey85hezi+llO7qYZ6yZXzPC/cKxWC3szNhZprzHyTxjm5RnTEQaoAawD55IrXPHfaTAmIiIiEhdkHkIMg+ezC/W36Um9mWUvSJ6nf/8YgC//w4//mg7wqkE/EmuzRiDU8spK8sztkUzxkSkAbHvQJqfn19FTRGpiv0+OpedfZVjTERERKQusC+jjI4H7wCXmjjyi0XUQn4xgDvugKQkiImBI0dOBcZStkCpGUxVf0jtFtaNRYcXlZtnLM4xYywLq9WKwWBw5+hFRGqFyWQiODiYY8eOAeDn56d/39zIYrFQXFxMYWEhRqPmAjVUVquV/Px8jh07RnBwMCZT1Zv+VESBMREREZG64OAy27E+5hezC2kDPkFQmAXHtp/KOVaJyhLwd4kKxGQ0kJZbRHJWIdHBvm4fsohIbYiMjARwBMfEfaxWKwUFBfj6+irg2AgEBwc77qezpcCYiIiISF2QaA+MXexS9V0Zu8g15xLgFVB7+cUefRRyciDg5Aw3g8E2a2z/YttyymoExg5mHyS7OJtAr0BHma+XiQ4RAexIzmbzkUwFxkSkwTAYDERFRREeHo7ZbK7t4TQoZrOZv/76i0GDBp3T8jqp+zw9Pc9pppidAmMiIiIitS3zMJxItOUXa1m9/GK9w3tjMjp/KDwv+cUAJk4s+1x0L1tg7OhG4PYquwj2Caa5f3OO5B5he/p2BkQNcCrv0TzoZGAsi5HdotwzbhGROsJkMrnlP/ZyislkoqSkBB8fHwXGxCVacCsiIiJS2w7a84v1dD2/WKotMNYnsk+ZsvOSX6wi9jxjR6uRgD+s4gT83U8m4N+sBPwiIiJSAxQYExEREaltidXLL1ZqKWVDqi3wVGfyi9nF9LIdj+0Ac4FLTbqFdgNge/r2MmU9Tibg33wk0y1bsouIiIicToExERERkdpWzfxiO0/stOUX8wygY9OOTmXHzld+sYoExkCTZmApgZSyM8DKU9mMsY6RAXh5GMkuLCExPd+tQxURERFRYExERESkNmUdgRMHwGCEFq7lF1uXsg6AXhG9yuYXO2BbRlnj+cUAOnWCwEDb0c5gsOUZA5eXU3YO6YwBA8l5yaQXpDuVeZqMdImyJeTffCTTHaMWERERcVBgTERERKQ2JZ7MLxbVE3wCK61qZ0+8X94ySnvi/fOSXyw317YrZW6u8/OOPGMbXerG38uf2KBYALalbytTHqc8YyIiIlJDFBgTERERqU0Hzz6/WPmJ989jfrEOHaBLF9vxdPY8Y0muJ+C35xnbllZeYCwY0IwxERERcT+P2h6AiIiISKNWzfxiu07sIsecg7+nP52adnIqO5ZdyP7j5zG/2J9/lv+8fcZY2m4oynFpp82uYV35af9P5c4Y63FyxtjWpGxKSi14mPS3XREREXEPfaoQERERqS1ZSZCx35ZfrOUAl5rYl1HWen6xyviHQ2BzwArJm1xq0jX0VAL+M3efbNPMnyZeJgrMpew7nufu0YqIiEgjpsCYiIiISG05aM8v1sPl/GL2xPt9I2o5v1hVYqqXZ6xTSCdMBhPphemk5qc6lZmMBrrG2GaNbdJyShEREXEjBcZEREREakviUtuxGvnF1qeuB6pIvH8+8otVxb6c0sU8Yz4ePrQLbgeUn2eshyMBf6ZbhiciIiICCoyJiIiI1B77jpQu5hfbfWK3I79Yx5COTmXnPb8YwH/+A/feazueKfpkAv6j1UjAH2ZLwL81fWuZslMJ+LUzpYiIiLiPAmMiIiIitSH7KGTsO6v8YvHh8XgYnfdQqpX8YrNnw3//azueKbqn7XgiEfIzXOqua5gtz1j5M8aCAdiRnE1RSelZDFZERESkLAXGRERERGqDfbZYZBz4BLnUZG2qLTBW6TLKupBfDMC3KYS0sZ27mGfMnoB/W/q2Mgn4W4T4EuznibnUyq6UHLcOVURERBovBcZEREREakNDyC/266+wfr3tWB7HckrXAmPtg9vjZfQiuzibIzlHnMoMBgPdHQn4tZxSRERE3EOBMREREZHacLB6+cX2ZO4hpziHJp5N6BTSyamsVvKLAXTvDr162Y7lia7ezpSeJk9H7rTy8ozZl1NuPpxZ3ZGKiIiIlEuBMREREZHzLTsZ0vcCBrfmF+sSdR7zi7ki5uSMMRd3poRTyym3ppWXgN82Y2xLkmaMiYiIiHsoMCYiIiJyvtlni0XFgW+wS03sgbE6s4zSFZFxts0Fco5CTopLTRwJ+NPLJuC370y5OzWH/OIStw1TREREGi8FxkRERETON0d+MdeWUVqsllP5xSLqUGBs/XpYudJ2LI+3P4TZlka6upyyW2g3ALanb6fU4rz7ZGSQD+EB3lissO1o9lkPW0RERMROgTERERGR882+I6WLiff3nNhDdnE2fh5+dA7t7FR2en6xfrHnMb8YwFVXwQUX2I4VialeAv7WQa3x9fCloKSAxOzEMuX2WWOblGdMRERE3OCsAmNvv/02sbGx+Pj40L9/f9asWVNh3W3btjFmzBhiY2MxGAy89tprZeo8/fTTGAwGp0enTp3KdiYiIiJS3+WkQPoebPnFBrrUxL6MsldEr8rzi/nVofxidvYE/C7mGTMZTXQOsQX/yssz1kN5xkRERMSNqh0Y++qrr5g8eTJPPfUUGzZsoEePHowYMYJjx46VWz8/P582bdowbdo0IiMjK+y3a9euJCcnOx7Lli2r7tBERERE6r7Ek59xIrtXO79Yn4g+ZcpqNb/Y+PHwwAO2Y0WiT5sxZrW61G23MNtyyvLyjHU/GRjbfESBMRERETl3HlVXcfbKK68wfvx4br/9dgBmzpzJL7/8wkcffcSjjz5apn7fvn3p29eWC6O8csdAPDwqDZyJiIiINAj2wFh18osdO5lfrK4l3n/qqarrRHQFowfkp0HWYQhuWWUT+86U29IqTsB/IC2PrAJz3dqFU0REROqdas0YKy4uZv369QwdOvRUB0YjQ4cOZeXKlec0kD179hAdHU2bNm24+eabOXTo0Dn1JyIiIlInHax+frGsoqy6l1/MVZ4+tuAYuLyc0j5jbGfGTsylZqeykCZetAjxBWCLZo2JiIjIOarWjLG0tDRKS0uJiIhwej4iIoKdO3ee9SD69+/PrFmz6NixI8nJyTzzzDNcfPHFbN26lYCAgDL1i4qKKCoqcnydnW3blchsNmM2m8vUF6nr7O9bvX9F3Ef3ldRJual4pu3GioGS6L7gwvtz9dHVAPRs1hNKcQoULd9jS2XROTIAP8+afb+fyz1ljOyJKXkTpUfWY+lweZX1I30iCfAMIMecw860nXQKcc492z06kMMZBSQcyqB/bFC1xyNSV+h3lYj76b4SO1ffA9VeSlkTRo0a5TiPi4ujf//+tGrViq+//po777yzTP2pU6fyzDPPlHn+999/x8/Pr0bHKlKTFixYUNtDEGlwdF9JXRJ9YhV9gSzfFixZtMKlNr/k/QJAkxNNmDdvnlPZN/uNgJFwssqU1ZSzuadappmIBzK2/MGKwrJ50soTbg0nhxy+WvIVfb2dl5B6ZBsAE7+v30WL3B3VHo9IXaPfVSLup/tK8vPzXapXrcBYWFgYJpOJ1NRUp+dTU1Pdmh8sODiYDh06sHfv3nLLp0yZwuTJkx1fZ2dn06JFC4YPH05gYKDbxiFyvpjNZhYsWMCwYcPw9FSuFBF30H0ldZHx1z8hEQK6j2L0sNFV1rdYLbz03UsA3DzoZuLC4pzKX399GZDPjZf04rLO4TUw4lPKu6dMQ4ZgSE3FGhFB6eLFFTdObQkffESY+QijR40EQ9XZPPYl7GPf9n0Yo42M7u/8vQo9kMGPH63jeKkfo0cPOpfLEqlV+l0l4n66r8TOvrqwKtUKjHl5edG7d28WLlzI1VdfDYDFYmHhwoVMnDix2oOsSG5uLvv27eOWW24pt9zb2xtvb+8yz3t6euqNL/Wa3sMi7qf7SuqUQ7acrKY2gzG58L7cfWI3WcVZ+Hr4EhcRh6fxVJtj2YXsT8vHYICB7cLP2/vc6Z46eBCSkjAUFmKs7PWjuoGHD4aibDyzD0NYuypfJy48DrbDjhM7ylxbz1ahGAyQnFVIZqGFZgFlPxeK1Cf6XSXifrqvxNWff7WS7wNMnjyZ999/n9mzZ7Njxw4mTJhAXl6eY5fKcePGMWXKFEf94uJiEhISSEhIoLi4mKSkJBISEpxmgz344IMsWbKExMREVqxYwTXXXIPJZGLs2LHVHZ6IiIhI3ZR7DNJ2AQZoOdClJmtT1gLQK7yXU1AMYNWBDAC6RAUS5FdLH/xDQiAszHasjMkTIk/OdjtavQT8e07sobCk0KnM39uDts38AdiSlFmtIYuIiIicrto5xm644QaOHz/Ok08+SUpKCj179mT+/PmOhPyHDh3CaDwVbzt69Cjx8fGOr2fMmMGMGTMYPHgwi09OuT9y5Ahjx44lPT2dZs2acdFFF7Fq1SqaNWt2jpcnIiIiUkckLrMdI7qBn2s7SK5LWQdAn8iyeblW7U8HYECbUPeM72xs3ux63ZhecGSNbWfKuL9XWT3CL4JQn1DSC9PZmbGTnuE9ncrjYoLYeyyXhMNZXNopovxORERERKpwVsn3J06cWOHSycVn5JeIjY3FarVW2t+cOXPOZhgiIiIi9Yc9MBZ7kUvVLVYL61JPBsYiygbGVteFwFh1NO8Lq2fCweUuVTcYDMQ1i2PR4UWsT11fJjAW36op329MYs2B9BoYrIiIiDQW1V5KKSIiIiJnoZqBsb2Ze8ksysTXw5euYV2dyo7lFLLveB4GA/SLdW32Wa1rfTJJfspmyHMtmNU/qj8Aq5JXlSm7qF0YABsOZpJfXOKeMYqIiEijo8CYiIiISE3LPX4qv1irC1xqYl9GGR8eXya/2Or9dSC/WHX5h0P4yQDfgSUuNRkYZcvFtvHYRopKi5zKYkP9iAn2pbjUwtrEE24dqoiIiDQeCoyJiIiI1LSD9vxiXV3PL1bJMso6kV8M4JVX4OmnbUdXtBliO7oYGGsd1Jpw33CKSotIOJbgVGYwGLiwne36l+9Nc+31RURERM6gwJiIiIhITTub/GInZ4z1jexbprxOBcaeeab6gbH9i12qbjAYGBA9ACh/OeWFJ5dTLtujwJiIiIicHQXGRERERGpaNQNj+zL3caLohC2/WGgDyC9m1+oCMHrAiUTIOOBSE0eesaNlA2MXtLUFxrYnZ5OeW1SmXERERKQqCoyJiIiI1KTc43B8p+281YUuNbEvo+zZrCeepjqcX+yzz2D+fNvRFd7+tt0pweXllP0jbYGxbenbyCrKciprFuBNp8gAAFbs0+6UIiIiUn0KjImIiIjUpIPLbcdw1/OLrU1ZC0CfyDqcXwxgyBAYMcJ2dJVjOaVrgbGIJhG0CWqDFatjeenp7LtTKs+YiIiInA0FxkRERERqUjWXUVqt1vqRX+xsnZ6A32JxqcmAKFuesZXJK8uUXdjeFhhbuicNq9XqliGKiIhI46HAmIiIiEhNOsv8Yj4mH7qFdnMqq9f5xexieoOXP+SnQ+pWl5rYA2Ork1eXKesXG4KnyUBSZgGHMvLdOlQRERFp+BQYExEREakpeWlwfIftvLr5xcLreH4xgAMHYO9e29FVJs9T3wsXd6fsE9kHo8FIYnYiybnJTmVNvD2Ib9kUgGVaTikiIiLVpMCYiIiISE05Pb9YE9eWPtrzi9WLZZQXXwzt29uO1eHIM7bYpeoBXgF0C7PNnluVXHZ3SuUZExERkbOlwJiIiIhITXEso3RttpjVanXMGOsTUccT758Le2Ds0EooKXKpiWM5ZUrZ5ZQXngyMrdiXTqlFecZERETEdQqMiYiIiNSUauYX25+1n4zCDFt+sbB6kF/smmvg5pttx+oI7wxNwsGcD0fWutTEHhhbdXRVmST7PZoH4e/tQWa+me1Hs6s3FhEREWnUFBgTERERqQl56XBsu+3c1fxiJ3ej7BHeAy+Tl1OZPb9Y58g6kl8M4M034bPPbMfqMBigzWDbuYvLKXs064GPyYf0wnT2Zu51KvMwGR2z6JRnTERERKpDgTERERGRmuDIL9YFmoS51GRt6sn8YhH1IL/YuapmnjEvkxe9I3oDFeUZs31flGdMREREqkOBMREREZGaYF9G6eJsMavV6ki83yeysvxidWQZ5blqfXLGWNJ6KMxyqYljOWV5gbH2tuDjmsQMCs2l7hmjiIiINHgKjImIiIjUhGrmFzuQdYCMwgy8Td50D+vuVOaUX6x1AwmMBbeA0HZgtUDicpeaDIi2BcbWpazDbDE7lbVt5k9EoDfFJRbWHzzh9uGKiIhIw6TAmIiIiIi75WfAsW22c1fzi53cjbJns56V5hcL9vMq07bWXHklDBxoO56Nai6n7NC0A029m5Jfks/WtK1OZQaDwbE7pfKMiYiIiKsUGBMRERFxN3t+sWadwb+ZS01cW0ZZx/KLbdgAq1bZjmejdfUS8BsNRvpF9QNsu1Oe6aKTgTHlGRMRERFXKTAmIiIi4m6OZZRnkV8sohHkF7NrfTFggLRdkH3UpSaV5RmzzxjbkpRFZn6x24YpIiIiDZcCYyIiIiLuVt38YtkHSC9Mt+UXa1aP8osdOQJWq+14NnybQnS87Xz/Epea2ANjm49vJt+c71QWEehD+3B/rFZYuS/97MYkIiIijYoCYyIiIiLulJ8BqSfzX7VyLTC2LsWWX6xHsx54m7ydyupsfjF3secZO+BaYKx5QHOa+zenxFriyMt2OuUZExERkepQYExERETEnQ6usB2bdXI5v5g9MFav8ou5y+kJ+K1Wl5rYd6csbzml8oyJiIhIdSgwJiIiIuJO9mWULu5GabVaWZvaCPOL2bXoDx4+kJMMabtdatI/qj9QfmCsf5sQTEYDien5HM7IL1MuIiIicjoFxkRERETcqZr5xRKzE0krSMPL6EVcszinsjqdXwxg1ix4+23b8Wx5+kBL2wwwV3en7B9pC4ztObGHtALnmWEBPp70bBEMwIp9mjUmIiIilVNgTERERMRdso+eyi/mYmBsWZItkBbXLK5MfrElu44D0Kmu5hd7/HGYONF2PBenL6d0QVOfpnQO6QzA6uTVZcpP5RlTAn4RERGpnAJjIiIiIu6y8TPAaltG6R9eZXWr1cr3e74HYETsiDLlX609DMDf4qLcOsw6xx4YS1wGpSUuNbHvTlleYMyeZ2zF3jQsFtfylomIiEjjpMCYiIiIiDtYSmHDp7bz3re51GTT8U3szdyLj8mHy9tc7lS2OzWHdQdPYDIauL53czcP1k3eeAM+/dR2PBeRceDbFIqy4ehGl5rYA2Mrk1diPSNpf88Wwfh5mUjPK2ZnSs65jU1EREQaNAXGRERERNxh3yLIOgQ+wdD5SpeafLv7W8A2WyzAK8Cp7Ms1hwAY2jmc8EAftw7Vba69Fv7xD9vxXBhNEHux7dzF5ZTxEfF4Gj1JyUvhUM4hpzIvDyP9T+Zk0+6UIiIiUhkFxkRERETcYcMs27HHjbaE8lXIKc7ht8TfALiuw3VOZYXmUr7fkATAjf1aunWYdVY184z5evjSM7wnAKuOlt2d8lSeMQXGREREpGIKjImIiIicq9xjsOtX23mvW11qMm//PApLC2kb1JYezXo4lc3fmkJWgZmYYF8GtW/m7tHWTfbA2JE1UJznUhNHnrGUcvKMtbcFxtYcyKCopNQtQxQREZGGR4ExERERkXOV8DlYSqB5X4joUmV1q9XKt3tsyyjHdBiDwWBwKrcvo/x7nxaYjIYy7euMnBzIzrYdz1VIGwhqCaXFcGilS01OT8BfanEOfnWMCCDM34sCcykbD2We+/hERESkQVJgTERERORcWCywfrbt3MWk+9vTt7MzYydeRi+uaHOFU9m+47msPpCB0QB/71tHk+7bde4MQUG247kyGKDNINu5i8spu4R2wd/Tn+zibHZm7DyjO4NjOaXyjImIiEhFFBgTEREROReJS+HEAfAOhK7XuNTEPltsaKuhBPsEO5V9tfYwAJd0DCcqyNetQ63z2lxiO7oYGPMwetA3si9g253yTMozJiIiIlVRYExERETkXGw4OVus+3Xg1aTK6vnmfObtnweUTbpfVFLKt+uPADC2PiTdHzwYhg+3Hd2h9ckZYylbIM+1YJZ9OeWq5IoT8G86nEl2odk9YxQREZEGRYExERERkbOVlw47frKdu5h0f37ifPJL8mkV2Io+EX2cyhZsTyUjr5iIQG+GdKwHSfc//xx++812dAf/cIjoZjs/8JdLTQZE2wJjG1M3UlhS6FQWE+xLm7AmWKywal+6e8YoIiIiDYoCYyIiIiJna9OXtmTxUT0guqdLTb7dbVtGeW37aytMun9DnxZ4mBrpxzT77pQuLqdsHdiacL9wii3FJBxPKFOuPGMiIiJSmUb6iUtERETkHFmtp5ZRuph0f1fGLrakbcHD6MFVba9yKjuYnsfyvekYDPD3vi3cPNh6pPXJZZkuBsYMBsOp5ZRHK15OqTxjIiIiUp6zCoy9/fbbxMbG4uPjQ//+/VmzZk2Fdbdt28aYMWOIjY3FYDDw2muvnXOfIiIiIrXu0CpI2w2eftDtuqrrA9/t+Q6AS1pcQqhvqFPZnJNJ9we1b0bzpn7uHWt90uoCMHpA5kHIOOBSk8ryjA1sE4rRAPuO55GcVeDWoYqIiEj9V+3A2FdffcXkyZN56qmn2LBhAz169GDEiBEcO3as3Pr5+fm0adOGadOmERkZ6ZY+RURERGqdfbZYt2vBJ7DK6oUlhfy8/2cArmvvHEgzl1r4Zl09Srpvd/vtcOWVtqO7ePtD8362cxdnjfWP6g/A9vTtZBVlOZUF+XnSvXkwAMv3Ks+YiIiIOKt2YOyVV15h/Pjx3H777XTp0oWZM2fi5+fHRx99VG79vn378tJLL3HjjTfi7e3tlj5FREREalXBCdj2g+28120uNVlwcAE5xTnE+Mc4EsbbLdyRSlpuEWH+3lzWOdzNg61BCxbATz/Zju5kzzN2YIlL1cP9wmkb1BYrVtamrC1TflE72+w85RkTERGRM3lUp3JxcTHr169nypQpjueMRiNDhw5l5cqVZzWAs+mzqKiIoqIix9fZ2dkAmM1mzGZtxS31j/19q/eviPvovpKaZNw4B1NJIdbwLpRE9AAX3mdf7/oagKvaXEVpSSmllDrKvlh9EIDrekWDpRSzpbTcPmpTefeUB2AArECJG+81Q6uL8ACs+5dQUlwEhqr/ltsvoh/7svaxImkFg6MHO5UNiG3K28CyPccpLi4us+mBSG3R7yoR99N9JXauvgeqFRhLS0ujtLSUiIgIp+cjIiLYuXNndbo6pz6nTp3KM888U+b533//HT+/RpyTQ+q9Be7+i7uI6L4S97NaGbLzbYKALV69OPDrr1U2OVZ6jIScBIwY8U/0Z96heY6y9EJYuscEGGiWs4d58/bU3Njd4PR7ynPqVAxWK1aDAfO8eZW0qh6DtYTRRh88CjJY/t1Msvxiq2xjNNuCZ3/u+5Mex3s4lZkt4Gk0cTy3mI+++5UofVyUOka/q0TcT/eV5Ofnu1SvWoGxumLKlClMnjzZ8XV2djYtWrRg+PDhBAZWneNDpK4xm80sWLCAYcOG4enpWdvDEWkQdF9JTTEkbcAj4TBWDx86//1pOvsGV9nmlQ2vwE64OOZibhx8o1PZq3/sxcp+Lmgbwrhr+9TQqM/d+b6njLlzYO/vXBxTimXg6CrrX1x8MXO+m0O6JZ2eg3sS3STaqXxu+nqW7U3HFNOV0QNb1dSwRapFv6tE3E/3ldjZVxdWpVqBsbCwMEwmE6mpqU7Pp6amVphYvyb69Pb2Ljdfmaenp974Uq/pPSzifrqvxO02fwaAoctVeAY2q7J6cWkxPx+wJd2/vuP1Tu/HklIL321MAuCm/q3qxXv1vN1T7S6Fvb9jOrgU06DJVVYP8QyhW1g3Nh3fxIbjG2gV7Bz8urh9M5btTWfV/hOMH9SupkYtclb0u0rE/XRfias//2ol3/fy8qJ3794sXLjQ8ZzFYmHhwoUMHDiweiOswT5FREREakRRDmz5znbe61aXmiw8tJDMokzC/cK5MOZCp7JFu46Tml1EaBMvhnc5uz8yNlj2BPwHV0JJUaVV7QZE2TY1WJW8qkzZhe3CbGX70zGXWtwyRBEREan/qr0r5eTJk3n//feZPXs2O3bsYMKECeTl5XH7yW26x40b55RIv7i4mISEBBISEiguLiYpKYmEhAT27t3rcp8iIiIidcKWb8GcB6HtodUFLjX5brctkHZt+2vxMDpP1p+z5hAAY3o3x8uj2h/Lat/PP8M339iO7tasE/hHQEkBHF7jUpPTA2NWq9WprEtUIE39PMkrLmXT4Ux3j1ZERETqqWrnGLvhhhs4fvw4Tz75JCkpKfTs2ZP58+c7kucfOnQIo/HUB7ujR48SHx/v+HrGjBnMmDGDwYMHs3jxYpf6FBEREakTNsy2HXvfCi7sbHg4+zCrU1ZjwMA17a5xKkvOKmDRrmMA3Ni3hduHel7861+QlAQxMXDkiHv7Nhig9WDY8jXsXwytL66ySY9mPfD18CWjMIM9mXvo0LSDo8xoNHBBuzB+2ZzMsr1p9IkNce94RUREpF46qz9NTpw4kYMHD1JUVMTq1avp37+/o2zx4sXMmjXL8XVsbCxWq7XMwx4Uc6VPERERkVqXvAmObgSjJ/QY61KT7/bYZotdEHMB0f7OyeC/XnsEixX6tw6hTTN/tw+3QbAvp9y/2KXqniZPekX0AmDV0bLLKS86uZxy+d40d4xOREREGoB6uSuliIiIyHm3/uRssc5/gyZhVVY3W8zM3TsXgOvaX+dUVmqx8tVa2zLKm/q3dOswz6snn4TcXPCvocBem8G249ENUJgFPkFVNhkYNZDlSctZnbKacV3HOZXZA2MbD2WSW1SCv7c+CouIiDR2+jQgIiIiUpXiPNjyje28920uNVlyeAnphemE+oQyuMVgp7K/9hznaFYhwX6ejOhaj5Pu3313zfYf1NyWzy19DyQug06XV9nEnmdsbcpazBYznsZTO1K1CPGjZYgfhzLyWXMgnUs7KW2HiIhIY1cPs7yKiIiInGfb5kJRNjSNhdhBLjX5ds+3AFzd7mqn4AzAl6tts8WujW+Oj6fJnSNteKq5nLJ90/aE+IRQUFLAluNbypTbd6dctifdTQMUERGR+kyBMREREZGq2JPu9xoHxqo/Ph3NPcqKpBUAjGk/xqnsWHYhC3faku6P7VdPk+6fT/bllC4GxowGI/0i+wG23SnPpDxjIiIicjoFxkREREQqc2wHHF4NBhP0vNmlJj/s/QErVvpH9qdFoHPw65v1Ryi1WOnTqintIwJqYsQNS+xFYDBC2m7IPupSE/tyyvICYwPbhmIwwK7UHI7lFLp1qCIiIlL/KDAmIiIiUhl70v2OoyCg6nxgJZYSvt/zPQBjOjjPFrNYrMw5mXR/bL96nHTfrk0b8Pa2HWuKb1OIjred71/iUpMB0bbA2JbjW8gz5zmVhTTxomt0IAAr9mo5pYiISGOnwJiIiIhIRcyFsHmO7dzFpPvLk5ZzLP8Ywd7BXNbyMueyfWkcziggwMeD0d2j3DzYWlBcfOpRk6qZZyzGP4YWAS0osZawPnV9mXJHnjEtpxQREWn0FBgTERERqciOn6DgBAS1gLaXutTEnnT/yrZX4mXyciqbs+YwANfGx+Dr1QCS7nfrBvHxtmNNan1anjGr1aUm/aP6A7Dy6MoyZafnGbO62J+IiIg0TAqMiYiIiFTEnnQ//h9grDqQlZqXytIjS4GySfeP5xTx27YUAG5sCMsoAebPhw0bbMea1KI/ePhAbgoc3+VSk8ryjPWNDcHLw0hyViH70/LKlIuIiEjjocCYiIiISHnS9kLiUlvi9/h/uNRk7t65lFpL6RXeizbBznm3vttwhBKLlZ4tgukcFVgTI264PH2g5UDbuYvLKftF9sOAgb2Ze0krcF4y6eNpok+rpoB2pxQREWnsFBgTERERKY99tli7oRDUvMrqFquFH/b+AJRNum+1Wpmzxp50v0WZtuICe56xA64l4G/q05ROIZ0AWJ28uky5I8/YHgXGREREGjMFxkRERETOVFIMCV/Yzl1Mur/q6CqScpMI8ApgeKvhTmUr96eTmJ6Pv7cHf4uLdvNgGwlHYGwplJa41MS+O2V5yyntecZW7k+npNTiliGKiIhI/aPAmIiIiMiZds2D/DTwj4T2I1xqYk+6/7c2f8PHw8epzJ50/8qe0TTx9nDvWGvTQw/BXXfZjjUtMg58m0JxDhzd4FKTAZGnAmNnJtnvFhNEoI8HOYUlbEnKcvtwRUREpH5QYExERETkTOtn2Y7xN4Op6kBWWkEaiw4tAsom3c/IK2b+VlvS/ZsaStJ9uy+/hA8/tB1rmtEIrQfZzl3MMxYfEY+n0ZOUvBQOZh90KjMZDVzQ9tTulCIiItI4KTAmIiIicroTibDfFuQi/haXmvy470dKrCV0D+tOx5COTmXfbzhCcamFbjGBdIsJcvNgGxn7ckoXA2O+Hr7Eh8cD5S+nvLD9yTxjCoyJiIg0WgqMiYiIiJxuw6e2Y5tLIKR1ldWtVivf7/kegOs6XFem7EtH0v0GNlsMYOFC2LrVdjwf7IGxw2ugOM+lJgOibMspy0vAb88ztuFgJvnFruUtExERkYZFgTERERERu9ISSPjcdt77VpearEtdx8Hsg/h5+DEydqRz2cET7Dueh5+XiSt7NMCk+x07QteutuP50LQ1BLcEixkOrnSpiSMwlrKaUkupU1lsqB8xwb4Ul1pYm3jC7cMVERGRuk+BMRERERG7Pb9DTjL4hUHHy11q8u1uW9L90W1G4+fp51T25WrbbLEr4qIJ8PF071gbI4MBWg+2nduXu1ahS2gXAjwDyCnOYUfGjjO6M3Bhu1BAecZEREQaKwXGREREROzsSfd7jgUPryqrZxZmsuDgAgCua++8jDIr38wvW5IBGNu/AS6jrC2OPGNLXKpuMproG9kXqCDP2MnllMv2KDAmIiLSGCkwJiIiIgKQlQR7bUEuerm2jPKn/T9htpjpFNKJLqFdnMp+2HiEohILnSID6NG8gSbdX7kSFi+2Hc8X+4yx1C2Q51owa0C0bTlleYEx+86U25OzSc8tcs8YRUREpN5QYExEREQEYONnYLVAq4sgrH2V1a1WK9/t/g6wzRYzGAxOZXPWHgbgpv4tncoalOuvh0susR3PF/9mENHddn7AtVlj9jxjG1M3UlhS6FTWLMCbTpEBAKzYl+6+cYqIiEi9oMCYiIiIiKUUNp7cjdLFpPubjm9iX9Y+fD18Gd1mtFPZxsOZ7EzJwcfTyFU9Y9w9WmljzzO22KXqsYGxRPhFUGwpZuOxjWXK7btTKs+YiIhI46PAmIiIiMi+PyHrMPgEQ+crXWryze5vABjeajgBXgFOZXPW2JLuX949miDfBpx0/9574dFHbcfzyZ5nbN9isFqrrG4wGOgf1R+oIM9Ye1tgbOmeNKwu9CciIiINh0dtD0BERESk1tmT7ve4ETx9qqyeXZzN74m/A3BdB+ek+9mFZn7adDLpfr8Wbh1mnTNlSu28bsuBYPSErENw4gCEtKmyyYCoAfy478dyA2P9YkPwNBlIyizgUEY+rUKb1MSoRUREpA7SjDERERFp3HJSYfd827mLSffn7Z9HYWkh7YLb0aNZD6ey/yUcpcBcSvtwf3q3auru0QqAtz+06Gc7d3F3SnuesR3pO8gqynIqa+LtQXxL289qmZZTioiINCoKjImIiEjjlvA5WEqgeT+I6FJldavVyre7vwVgTPsxZZLuf7natozyxn4NOOl+XWBfTulinrFmfs1oF9wOK1bWpKwpU648YyIiIo2TAmMiIiLSeFkssGG27dzFpPvb0rex68QuvIxeXNH2CqeyLUlZbE/OxsvDyLXxSrpfo1qfTMB/YInt5+gCR56xo+XkGTsZGFuxL51Si/KMiYiINBYKjImIiEjjlfgXnEgE70Doeo1LTeyzxYa2GkqQd5BT2ZdrDgMwqlskTZt4uXWodVKfPtC8ue14vsX0Aq8AKDgBKZtdamJfTllenrEezYPw9/YgM9/M9qPZbh2qiIiI1F0KjImIiEjjtf7kbLHu14FX1QnX8835/HrgV6Bs0v28ohJ+TEgCYGy/lu4dZ12VkgJJSbbj+WbyhNiLbOcuLqfsE9EHk8HEoZxDHM096lTmYTIyoE0ooDxjIiIijYkCYyIiItI45aXDzp9t571vc6nJrwd+Jb8kn1aBregT4TxL6qdNR8krLqVNWBP6tw5x82DrqMhIiImxHWuDPc/YAdcS8Pt7+dM9rDsAq5NXlym/qJ0tMKY8YyIiIo2HAmMiIiLSOG36EkqLIaonRPWosjrAd3u+A8om3Qf4co096X6LxpN0f906OHLEdqwN9sDYwZVgLnSpyYBo23LKlckry5Rd1N6WZ2xNYgaF5lK3DFFERETqNgXGREREpPGxWmH9LNu5i0n3d2XsYkvaFjyMHlzZ9kqnsm1Hs9h0JAtPk4ExvZq7ebBSoWYdwT8SSgrgSNmdJsvTP9KWgH918mosVuek/W2b+RMR6E1xiYX1B0+4fbgiIiJS9ygwJiIiIo3PoZWQvgc8/aDbdVXX51TS/UtaXEKob6hT2ZyTSfeHd40k1N/bvWOVihkM0Obk7pQu5hnr0awHvh6+ZBRmsOfEnjO6Mzh2p1SeMRERkcZBgTERERFpfOxJ97tdCz6BVVYvKCngl/2/AHBde+dAWkFxKXM32pLu39RYku7XJfbllC4GxjxNnvSO6A2UvzvlRScDY8ozJiIi0jgoMCYiIiKNS8EJ2D7Xdt77dpeaLDi4gBxzDjH+MY4cVXY/bz5KTlEJLUP8GNgmtIIeGqipU2HKFNuxtrQ+OWPs6EYoyHSpyYAo28+wvAT89hljW5KyyMwvdssQRUREpO5SYExEREQalw2fQEkhhHeFmN5VVi+1lPLlji8BuLb9tRgNpz4+lZRa+HTVQcCWdN9obCRJ9+3efhumTbMda0tQDIR1AKsFEpe51MQeGFuXug5zqdmpLCLQh/bh/litsHJfutuHKyIiInWLAmMiIiLSeBxaBQufs533G2/LUVWF1za8xtb0rfiYfLi63dVOZVN/3cnmI1n4epq4rreS7tea1tXLM9a+aXtCfEIoKClgc9rmMuXKMyYiItJ4nFVg7O233yY2NhYfHx/69+/PmjWV7wL0zTff0KlTJ3x8fOjevTvz5s1zKr/tttswGAxOj5EjR57N0ERERETKl3kYvvoHWMzQ+UroVfVulD/u+5FZ22YB8NyFzxHuF+4o+3rdYT5cdgCAGdf3IDzAp0aGXad98w0sWmQ71qZq5hkzGoyO3SmVZ0xERKRxq3Zg7KuvvmLy5Mk89dRTbNiwgR49ejBixAiOHTtWbv0VK1YwduxY7rzzTjZu3MjVV1/N1VdfzdatW53qjRw5kuTkZMfjyy+/PLsrEhERETlTcR7MGQt5xyGiO1wzE4yVfwzadHwTT694GoC74+5mZOtTf7RbfzCDx3+wfZa5/7L2XB4XVWNDr9MGDoQhQ2zH2hR7ERiMtp1Gjya41MSeK+6Pg39QXOqcS6x/mxBMRgOJ6fkkHM5082BFRESkLql2YOyVV15h/Pjx3H777XTp0oWZM2fi5+fHRx99VG79119/nZEjR/LQQw/RuXNnnnvuOXr16sVbb73lVM/b25vIyEjHo2nTpmd3RSIiIiKns1ph7j2QsgX8wmDsF+DVpNImKXkpTFo0CbPFzCUtLuHenvc6ypIyC/jnp+spLrUwqlskky5rX9NXIFXxDYaOo23nc26GnNQqmwxuPpgAzwD2Zu7l6RVPY7VaHWUBPp6M6BoBwL8+XU9qdmFNjFpERETqgGoFxoqLi1m/fj1Dhw491YHRyNChQ1m5cmW5bVauXOlUH2DEiBFl6i9evJjw8HA6duzIhAkTSE9XslMRERFxg79esu1CafSEGz6D4JaVVi8sKeT/Fv0faQVptAtux9SLpzoS7ucXlzB+9jrScovpHBXIy3/v0fgS7tdVV70Foe0g+wjMuQnMlQezQn1DmTFkBiaDiZ/2/8SHWz90Kp82Jo524f6kZBdy1+x1FBSX1uToRUREpJZ4VKdyWloapaWlREREOD0fERHBzp07y22TkpJSbv2UlBTH1yNHjuTaa6+ldevW7Nu3j8cee4xRo0axcuVKTCZTmT6LioooKipyfJ2dnQ2A2WzGbDaXqS9S19nft3r/iriP7isBMOz8BY9FzwNQMuolrNF9oJL3hNVq5YkVT7A9fTvB3sG8OuhVvPDCbDZjsViZ/PVmtidnE9LEk3du6oGnwdpo3mPl3lO7dkFJCXh4QMeOtTSykzz84e+f4/HxCAxJ67DMnUDpVe9WusFC32Z9eaj3Q0xbN43XN7xOiyYtuLTFpQD4muDdm3ty3bur2ZKUxQNfbeT1v8cpECpupd9VIu6n+0rsXH0PVCswVlNuvPFGx3n37t2Ji4ujbdu2LF68mMsuu6xM/alTp/LMM8+Uef7333/Hz8+vRscqUpMWLFhQ20MQaXB0XzVegQWHuHi3bQfKfc2Gs/VoCBydV2mbJYVLWFC4ACNGrvW4lk1/bWITmwD49bCB+UdMmAxWboktYNOKRSdLGpfT76nhd96Jb3o6BaGh/P7hh5W0On/Cmv+LgXtfwrjte3ZlwO7Iqyut748/A7wGsKp4FVOWTmG8/3iiPaId5be0hre3m5i/LZX73vuNy1taavgKpDHS7yoR99N9Jfn5+S7Vq1ZgLCwsDJPJRGqqc96G1NRUIiMjy20TGRlZrfoAbdq0ISwsjL1795YbGJsyZQqTJ092fJ2dnU2LFi0YPnw4gYGB1bkkkTrBbDazYMEChg0bhqenZ20PR6RB0H3VyOWl4fHxfzBYirC0HkzLGz+hpbHyjz1Ljizhj7/+AODRvo9yXfvrHGXzt6Uyf6UtDPbcVd24vndMzY29jirvnvLwse3E6ePjw+jRo2tzeKcZjWVjOMZ5k+mc/D3tB16OtfNVlbYYbhnO/YvvZ1XKKr4t/ZZPh31KM99mjvKYjUk88v02fk8yMnxAHFf1jK6kNxHX6XeViPvpvhI7++rCqlQrMObl5UXv3r1ZuHAhV199NQAWi4WFCxcyceLEctsMHDiQhQsXMmnSJMdzCxYsYGAluxcdOXKE9PR0oqLK3+HJ29sbb2/vMs97enrqjS/1mt7DIu6n+6oRKimGH+6ErMMQ0gbj9bMwevtW2mTvib38Z8V/sGLlho43MLbLWEfZtqNZPPydbQfKOy5szU0DYmty9HWe0z01diycOIGhadO6dZ/1uxMy9sKq/+Lx40QIbQMxvSqs7oknL1/yMv+Y9w8OZB3g33/9m49HfoyPhy3wd0O/WA6kFzJzyT4em7ud1uEB9G4Vcr6uRhoB/a4ScT/dV+Lqz7/au1JOnjyZ999/n9mzZ7Njxw4mTJhAXl4et99+OwDjxo1jypQpjvr/93//x/z583n55ZfZuXMnTz/9NOvWrXME0nJzc3nooYdYtWoViYmJLFy4kKuuuop27doxYsSI6g5PREREGjOrFX59CA4uB68AGDsH/CoPYGQWZnLfn/eRX5JP38i+PNLvEUfZ8Zwixs9eR4G5lEEdmvHY6E41fQX1y0svwQcf2I51zfD/B+2HQ0kBfDkWspIqrR7oFcjbl75NsHcwW9O38vjyx7FYTy2bfHhER4Z3iaC41MLdn6zncIZryzNERESkbqt2YOyGG25gxowZPPnkk/Ts2ZOEhATmz5/vSLB/6NAhkpOTHfUvuOACvvjiC9577z169OjBt99+y9y5c+nWrRsAJpOJzZs3c+WVV9KhQwfuvPNOevfuzdKlS8udFSYiIiJSobUfwPpZgAGu+wiaVZ4Q3mwx8+8l/+ZI7hFi/GN4efDLeBptf10sKinlX5+t52hWIW3CmvDm2Hg8TNX+6CS1xWiCMR9CeBfITYE5Y6E4r9ImLQJb8OqQV/EwevBb4m/M3DTzVHdGA6/d2JOu0YGk5xVz5+y15BQqsbOIiEh9d1bJ9ydOnFjh0snFixeXee7666/n+uuvL7e+r68vv/3229kMQ0REROSU/Uvg15OzvYY9Ax2GV9lk+prprElZg5+HH29e+iZNfZoCtt0pH/9hK+sPniDAx4P3b+1DkK+WY9Q7PoG2WYPvXwrJm+CHf8L1n4Cx4gBnn8g+PDngSZ5c8STvbHqH1kGtGdV6FAB+Xh58cGsfrnprObtTc7n/y418cGtfTNqpUkREpN7Snz1FRESk/svYD9/cCtZSiLsBLri/yiZf7/qaObvmYMDAtIun0b5pe0fZh8sO8M36IxgN8PZNvWjbzL8mRy81qWkruPFzMHnBjp9g0f+rssk17a/htq63AfD4ssfZfHyzoywqyJcPbu2Dj6eRRbuO8/wvO2pq5CIiInIeKDAmIiIi9Vthti2HVMEJiOkNV7wBhspn8KxNWcvU1VMBuC/+Pi5peYmjbMnu47wwzxbs+M/lXRjUoVm5fQgwciT06mU71mUtB8CVb9rOl74Mm76qssmkXpMY0mIIxZZi7v/zflLyUhxlcc2DeeXvPQH4aPkBPl99sCZGLSIiIueBAmMiIiJSf1lK4fvxcHwnBETBDZ+Dp0+lTY7kHGHy4smUWEsYFTuKu7rf5SjbdzyXiV9swGKFv/dpzh0XxtbwBdRzW7fCxo22Y13X40a4aLLt/MeJcGh1pdVNRhPTLp5Gh6YdSC9MZ+LCieSbTyXcH909in8P6wDAk//bxvK9aTU2dBEREak5CoyJiIhI/fXnc7B7Ppi8bcvlAqMqrZ5nzuP+RfeTWZRJl9AuPHPhMxhOzi7Lyjdz1+x15BSW0KdVU567upujTCrg5XXqUR9c+gR0+huUFsOcm+BE5TO9mng24c1L3yTEJ4RdJ3bx6NJHnXaqnHhpO67uGU2pxcqEz9az73huTV+BiIiIuJkCYyIiIlI/bf4Glr1qO7/qbdsyykpYrBYeW/oYe07sIcw3jNcveR1fD18ASkotTPxyAwfS8ogJ9mXmLb3x9jDV9BXUf/v3Q1GR7VgfGI1w7XsQGQf5afDljVCUU2mTaP9o3rj0DbyMXiw6vIjXN7zuKDMYDEwbE0fvVk3JLizhzllrOZFXXNNXISIiIm6kwJiIiIjUP0nrbcvhAC56AOLK3/36dP9N+C9/Hv4TT6Mnr13yGpFNIh1lz8/bwdI9afh6mnhvXG/C/L1rauRS27ya2Haq9I+AY9vh2zttS3Ir0aNZD5698FkAPtr6EXP3znWU+XiaePeW3sQE+5KYns+Ez9dTXGKpoCcRERGpaxQYExERkfolOxnm3AwlhdBhpG15XBXmJ87n3c3vAvD0BU/To1kPR9lXaw/x8fJEAF75ew+6RgfVyLClDgmKgbFfgocP7PkNFjxZZZPL21zO3XF3A/DMymdYn7reURbm781Ht/XF39uDVfszePJ/W7FarTU2fBEREXEfBcZERESk/jAXwlc3Q04yNOsE174PxsqXPG5P384Ty2zBs9u63saVba90lK1NzODxubbE8ZOGtmdU98pzlEkDEtMbrn7Hdr7yLVg/u8om9/a8l2GthlFiKWHSokkczjnsKOsYGcCbY+MxGmDO2sN8uOxATY1cRERE3EiBMREREakfrFb46f9syyh9gm0zfnwCK22SVpDG/X/eT2FpIRfGXMikXpMcZUdO5POvT9djLrUyunsk91/avmbH3xC99x688ortWB91uxaGPGY7/2UyHFhaaXWjwcjzFz1P19CuZBZlct/C+8gpPpWj7JJO4fzn8i6AbXnuH9tTa2zoIiIi4h4KjImIiEj9sOIN2DwHDCb4+ycQ0qbS6sWlxUxaNInU/FRiA2OZPmg6ppOzy/KKSrhr9jrS84rpEhXIjOt7YDRqB8pqe/ZZ+Pe/bcf6avDD0G0MWErg61sgfV+l1X09fHnj0jcI9w1nX9Y+HvrrIUosJY7yOy6M5ab+LbFa4f/mbGRHcnZNX4GIiIicAwXGREREpO7b/TsseMp2PupFaDO40upWq5VnVz7LpuObCPAK4M1L3yTQyza7zGKxMvnrBHam5BDm78X7t/bBz8ujpq9A6iqD4eSupn2g4AR8cQMUZFbaJNwvnDcuewMfkw/Lk5bz8rqXT+vOwDNXduXCdqHkFZdy1+x1HMsprOGLEBERkbOlwJiIiIjUbcd3wXd3AlbofRv0vavKJp/t+Iz/7fsfRoORGYNmEBsU6yh77Y/d/LYtFS+T0bGboJylmTPh669tx/rM0xdu/AICm0P6HvjmNigtqbRJ19CuTL14KmB7v3296+tT3ZmM/Pem3rQJa0JSZgF3f7KeQnPlO1+KiIhI7VBgTEREROqu/Az48kYoyoZWF8Kol2wzfCqxPGk5M9bNAODBPg9yQcwFjrKfNx/ljT/3AvD8Nd3o3Sqk5sbeGPztb3D99bZjfRcQATfNAc8msH8RzH+kyiZDWw3l/vj7AXhh9QusSl7lKAvy8+TD2/oS5OtJwuFMHv52s3aqFBERqYMUGBMREZG6qbQEvr0dMvZDUEtbXjEPr0qbJGYl8tCSh7BYLVzT7hr+0fkfjrKtSVk8+M0mgP/P3p3HV1Hd/x9/zdw1e8KWhBAIOyJLAAXZFBXBpRXrUqWu1K222FJcqv2JWxcVrWJdv7VVadW6S60LFVEUAdnDIiiLrCELe/bcZeb3x00uxARIIOFekvfTxzj3zpw585nLzM29n3vOGW4Y0ZnLTsls0vDlBJTWFy55ATBg8d9h0QtH3OSGvjfwoy4/ImgHmTxnMpv3bw6v69wmjuevGoTTNHh/xQ7+OntD08UuIiIiR0WJMREREYlOn9wD388JteAZ/2+Ia3PY4kW+Im797FaK/cVkt83mntPuwahqXVZYXMGN/1xChd/ijB5tufv8k47DAcgJqdcFMPr+0OOPfwcbZh+2uGEY3D/sfrLbZlPsK2biZxPZX7k/vH5o19b88aI+ADzx6Tr+u2JHU0UuIiIiR0GJMREREYk+y/4JC58LPb74/yCtz2GLB6wAd355J5uLNpMWl8YTZz6B2xFqXVbhD3Lzv5aSt7+CLm3j+Ov4ATh0B8rGsXs37NwZmjcnw38D2VeCHQyNN7bzu8MW9zg8TDtzGulx6Wwp2sJtc27Db/nD668Y3JEbRnQG4Pa3VpCzbV8TBi8iIiINocSYiIiIRI+CNfDmNfD+raHnZ/4/OOnHhyxu2RYzN8/k0vcvZV7uPLwOL38986+0iWlDIGjx5pJtjHniS5Zv3Uei18k/rg2N+SSNpH9/aNcuNG9ODAN+9AR0HBYa3+61n4bGuzuM1jGtefrsp4l1xrIwfyF/XvjnGmOK3X3+SZzdqx2VAYsbpi8hd195Ux+FiIiI1IMSYyIiIhJ5O7+DtybAc8NgzX8AI3T3ydPvqLO4ZVt8uuVTLnn/Eu744g427t9IgjuBqadPpXtyT95Zup2zH/+CO99eydY9ZbSJd/P81YPo3Cbu+B6XnLicHrj8FUjuBHs3wxtXQcB32E16pPRg6ulTMTB4e93bvLr21fA6h2nw5PgB9EpLYFdJJTdMX0Jp5eHvfCkiIiJNzxnpAERERKQF27UevngEVr0NVLWu6X0RjLoL2tUeB8y2bT7f9jnP5jzLd3tD3dsSXAlcffLVjO95JZ+vLeKcN79k065SAFrHubn5jC5cdVonYt362NPozjkn1I2ydetIR9I04lrDz96Ef5wDW+bB04Og/88gezykZNW5yRmZZ3DbKbfx2JLHeGTxI8zeOptx3cYxptMY4j2x/P3aU7jomXmszSvizMfm8JOBGVw2qAPd2iUc32MTERERQIkxERERiYTdG+HLR2HlG2BboWW9fgSj7q5zPDHbtvly+5c8k/MMa/esBSDOFcdVJ13Flb2u5svvSrjkmWVs3BlKiKXEurjp9K5cM7QTcR593GkyL70U6QiaXrte8NPpobHG9m2FLx4OTVkjIftn0HscuGu2RLym9zXsLNvJP9f8kyUFS1hSsIQ/L/wzY7PGMq7rOP529SBu+tcyCosr+b8vvuf/vvie7MxkLh3UgR/3a09SrLr7ioiIHC/6pCgiIiLHz55N8OVjsOLfoYHNAXqeH2ohll57nCrbtvkq9yuezXmW1btXAxDjjOGqk67iqpOuZt66ci57LocNhSUAJMe6uHFkF64dlkW8EmLSWLqeBbd9B99+CMtfCd0tdfPc0PTRHaFWjgOuhI5DwTAwDIPbT72dq3pfxX83/pf/bPwPW4q2MGPDDGZsmEGH+A5MuOBCWtnDmb3Kx+ffFZKzbR852/bx4AdrGNM7lctOyWREtza6UYSIiEgT0ydGERERaXr7toZaiOW8BlbVuErdx4RaiGUMrFXctm0W5C3gmZxnWLlzJRBKiI3vNZ5rTrqWhRsrGf/8Kr4rKAYg0evkxpFduG54FgletbaRJuCKgb6Xhqb920PJ3ZzXYM/3kPNKaErpHLqbZf8rIDmTtLg0bux3Izf0vYGcnTnM2DCDmZtmsr1kO8+vfBaD5xiSPoQ/nnIB+3b1ZMaynXxXUMwHK/P4YGUeqYkeLh7YgUsHdaBr2/hIvwIiIiLNkhJjIiIi0nT2bw+1EFv+Clj+0LKuZ8OZv4cOp9Qqbts2i/IX8UzOMywvXA6A1+Hl8p6Xc23v61i6yc+Vf1vNt/mhhFiC18kNI7owYUQWiUqIyfGS1CF0Y4iRt8PWr0NJsW9mwN5N8Pkf4fM/QZczIPsqOOlHGK4YBrQbwIB2A/jdqb9j9tbZzNgwg0X5i/g672u+zvuaeFc8Y4eM5aakc1ixPpH3V+ZRUFTJc3M28tycjQzsmMylgzL5Uf90nesiIiKNSIkxERERaXxFO2Du47BsOgSr7uTXZRSM+j10HFLnJovzF/NszrMsKVgCgNt089OeP+XnfX7O8k1Brv37WtbkFQGQ4HEyYURnrh/RmaQYJQki5sorYdcuaNMGXn31yOWbG8OATkND03lTYc37kPNqqIvl93NCkycR+lwcSpJ1OIVYVyw/7vpjftz1x+SW5PL+hvf5z8b/kFuSyzvr3+Ed3iErMYtbxl1IUuA0PllVwRfrdrJs6z6Wbd3HA//9hnP7pHHpoA4M66quliIiIsdKiTERERFpPMX58NUTsOQlCFaGlmWNDHWZzBpe5ybLCpbxbM6zLMxfCIDLdHFpj0u5vs/1rN4KP//Hd6zK3Q9AnNvBhOGduWFkZ5Jj3cflkOQwvvgCcnMhIyPSkUSeOy50t8rs8bB3M+RUdbXcvxWWvhya2vQIDdjf7wpITCcjPoNbsm/h5v43s7RgKTM2zGDWlllsLtrM0zl/xTSeZmiHoTw0+AJ2FXbjvWWFrC8s4T85O/hPzg7Sk7xcPDCDSwdl0rlN3BECFBERkbooMSYiIiLHrqQQvpoGS/4BgYrQso7D4My7ofPpdW6SU5jDsznPsiBvAQBO08kl3S/h+j7X8+12Bze9tI4V20MJsVi3g+uGZXHjyC6kxCkhJlEuJSt07p/xO9jyFSx/Fdb8B3atg0/vh9kPhroUD7gSep6P6fRwatqpnJp2Kr8f8ns+2fwJMzbMYFnhMublzmNe7jwS3YmcN+w8fpkwmqXr4nh/xQ7y9lfwzOcbeebzjZzSKYVLB3Xggn7pGmdPRESkAZQYExERkaNXugvmPQmLXoBAeWhZh8GhMcS6jAp1NfuBVTtX8cyKZ5iXOw8Ap+Hkou4XcUOfG9iQ5+aW6evI2bYPgBiXg2uGdeKmkV1oHe85Tgcl9bZ2Ldh2nf/OAphmKDHc+XQ4/1FYMyOUJNv2NWyYFZq8ydD3MuhzCaT3J84dx0+6/4SfdP8JW4u2MmPDDN7f+D4FZQW88d0bwBt0S+7Gry++EGfFyXz+jcXcdbtZsmUvS7bs5f7/fsN5fdIZl92egZ1SNB6ZiIjIESgxJiIiIg1jWbB7feiufAv/Bv7S0PKMQaGEWNezayVKKgIVrNy5kn+u+SdfbP8CAIfh4MKuF3Jlz5+ztTCGW/+1gWVb9wHgdZlcMzSLm07vQhslxKJXQkKkIzhxeBNh4DWhaffG0FhkOf+G4h2w+IXQZJjQpie0z4b0/nRM78+vT57Ar7J/xcL8hczYMIPPtn7Ghn0beHL54wDEumMZMrwHpq8Dm3Ykk7+zDe8t9/Pe8lwAOrWOpU/7JE7OSAzN2ycqySwiInIQJcZERETk8HxlkLsUti2EbYtC84p9B9anZ4cSYt3HhBNiO8t2krMzh+WFy1lRuII1e9YQsAIAmJj0SzmLVv7zWbTYw78++AbbDlXlcZpcdVonbj6jC+0SvMf3OEWOl9Zd4ex74cz/FxqgP+c12PQFlO6EnWtD04p/VxU2cLTuyrD0/gxL70/R4AeZWVnIh9s/Z83uNZQFyli9OwfIgQSISwATF4avPeWl6eyoaM+29Rl8uDoV7NBH//ZJXk7OSAonyvpkJJGa6MFQyz8REWmBlBgTERGRmop2wNavq5JgX0P+KqhKaoU5YyDzVBhyC8HuY9iwfyM5373J8p3LySnMIbckt1a1LpIIlvakKH8kc31tAV/VBJmtYjjnpDR+cUYX2iUqISYthOmAbmeHJtsO3bwib0XNqWg77N4Qmla/QyLwU+CnyR0JpPVjc1oWa2PiWUMla4s38+2ebyn1l4J7C273lvCuDBw4/OmUlaaxs7wDs79vz6y16WCHulq2iXdzcvsk+lS1LOuTkUSHlBgly0REpNlTYkxERKQlCwag8BvYurCqRdhC2L+tdrmEdMgcAh1PoyS9LysdNit2rWb51hmsXPZg6It4DQYeK4Oyokx8pR0JlnfC9qcABi6HQZ+OSQzqmMIpWSkM7JiiZNiJ6t13oawMYmPh4osjHc2JzTAgMT009Tz3wPLSXZCXUzNZtncz7NuKc99WugHdgB8DJLTHSuvHtvQurIlLYC1+1pRsY+2etRT5igi4tuNO3g7JS0K7xMQRSKO8NI395e35alsGX2xoD1aoq2Wi10mfjFCSrLplWefWcZimkmUiItJ8KDEmIiLSklTsh+2LDyTCcpeCr6RmGcOE1D6QOQQ7cwi5rTuRU1FIzs4ccgpns37d81i2VWMTB15MXydK9ncgWJ5FsDyTYiuU7God52Zg9xQGdUrhlE4p9MlIwutyHK8jlqb0619Dbi5kZCgx1lTi2kC30aGpWvneUEvOg5Nlu9ZD8Q7M4h10Wg+dgPMAYttgp/VlR9LJrHU7WYOftf59rCnbwR5fEQHnDlxJO3AlLauq3MAZbEtlWTsq/Uks2ZvIop2J2EsSsQKJxBrJnJTWjqw2caQmekhN9NIuwRt+3DbBg8thHv/XSURE5CgpMSYiItJc2Tbs3RTqElndNbJwDWDXLOdJhA6nQsfT8GcMZG1sPDl714USYd8+x87ynbWqdttt8JV2pKIkk2BZJ6zKNMDEMKBHuwQGnnwgEdapday6Y4k0ppiUA3e7rFZZAgWrYUfOgWTZzm+hbBfG95+TAWQA1ek1G9jpcLDW62VNfAprvF7WmjYF+Ak4CnEkFHKo9PW3QTdr9yZi7UzEDoQmK5CA7U/CDiaS7GpN29i2pCcmhBJniaHEWVqit+q5h9ZxHhxqeSYiIlFAiTEREZETla8sNB5YUW7VfHtovr/q+f5tNQbJt4H9pklBSifyU3tQkNye/JhECgiQX1ZI7s4vKNz6Bn7LV3M/tgOHvwMVJZkEyjqFukUGEgGIdTsY3DGZQR1TGNgphQEdU0iKcR2/10Ai649/hNJSiIuLdCTiiYeOp4Wmav5yKFgDBaugKA+K80LjmBXnYRTn0650J+1KSzmj9EBX6N2mybceN9+7XOx0ONjpdLDT4aDQ6WSn00mJAYbDh+HYhenZVWcoPiAX2B6MwdqViJ2fiB1IwAokYgeSsAMJGFYsyd4E2sYm0S4+mfaJyaQnxpOa6KVNgptEr4t4r5MEr4sEr5N4t1NdOEVEpEkoMSYiIhKNaiS9cg8kv/YflAQr3xsuHk56OR3kOxwUOJ3kxzgoSGhLXmwS+U4XBXYlPjsAWFD+bWiqgxWIxSoPJcCCZZ0IVnQID9CdkRzDoJMPjA3WKy0Bp7pNtVzXXRfpCORwXDHQYVBoqkvQDyWF4WQZxXm0Ls5jeHE+ww9KolG+O7xJmWFUJcpCCbODHxcctKzCNDEc5Tgc5UBBnbuvALZVTUuLwNjnwLDc2EEvthVDwIrBDnrB8mIHvbjMWDxmLDGOOGKcccS7Ekhwx5PkSSDZm0grbyLJMbEkxLhJ8DpJ8DpDCTaPs+q5C7dT71ciIlKTEmMiIiJNzbYhUBHq6uQrDs0ri0Nje5XtrjPpZZXvpdwwKDVNSkyDMsOk1DQoMU12Oxzkex0UxLUiz+WmwOWmwDSoNOxDBOCDg1qBWYE47EASlj8p1PUpkITlT4ZgIq09qaTHZ9A+JYb0rBjSk7ykJXlJT4ohs1UM7RI0SL5Is+FwQVJGaDocfwWU5ENxPrHFeXQqzqdTdeKsaEcoSV9RBMVFUFmEbVsUm1UJNIeDnU5naF7VAq3Q4aC46r2txDQpM0PJKtsMYpvl4CwH9tb5RaX6Xrb7qxcEgbKqCTBsA6flwGE5MGwnhuXEsF3YlgvbcgMeTMOLQQyYMTjMWNwOL27Ti9fhxev0EuOMIcbpJdYVS5wrhnh3LHGeGBLdsSR6YknwePG6HMS4HcS4QpPXbYYf68cCEZETixJjIiIidQn6wV8W6ooUTmhVJbV8JVBZdNDjYuyKYny+Iioqiyj3lVDiL6HUX0ZpoIwSq5IybEpNg9KqBFepaYYmw6DMrEp6GSZlboPSdnGUGfHYDRqXK5QUq530SsbyJx2U9EolIymxKtkVSnilJ4cet4336AudiNTm8kJKVmg6EtvG8JWSWFlEYkURXSuLoXJ/KHFWWXRgXlkcfhys2EdJ5X5Kqt47iwNllNrBquRZaCquet88sMyg2DQpNULLSk0DyzCwDRu/I4DfEQAqG36sgarpMAzLxLRcYHmwLQ9WMIagFYNlxWBbHhzE4DZi8Tpj8DriiHXGEueKJ8EdT6I7niRvAineBFJi4olxmny3xyDl+90kx3mJ9zhDXUg9LrwuU+MziogcB0qMiYhIdLNtsIIQ9IHlDyWsgr6quT+0LFARSmBVJbJsXxmBiv20L1xKyZerCFoVBPxl+P2l+Hxl+PzlVATKKA9UUBGooCJYSWXQR4Xtp9LyU2EHqDRsKgyDcsOkwjSoMEJTefixGZqbBuVV68KJLFfVhAHEVU1He/hG+MuXbXnA8mAF4rH9SZjBFDxGCjFma+IcrUlytyEtMYH0RC/pyQdae7VPiqFNvFtJLxFpeoYRGu/MEw+J7eu1iQNIqprC/BUHEmjVP1LUmlc99pVh+0op85VQ7C+hzF9CRaCcikB56H0+WEl59WQFqLT9VNjWD97bzVrv8+U/eJ+3qt7jbdMiaFZycOLNUTVVCwKlVVO4I2p1c7eqGwEbNjgtJw7LyYdfuDCs0GRbLmzbhW17MA0PDtOLw4zF6YzF6Qi1cPM43HgcXrxODzGOGGJcXmLDUwzxLi/xnlji3THEud3EuJ14nQ68LhOvy4Gnau51OnA5DCXgRKRFO6rE2DPPPMOjjz5Kfn4+/fv356mnnmLw4MGHLP/WW28xZcoUNm/eTPfu3XnkkUc4//zzw+tt2+a+++7jhRdeYN++fQwfPpznnnuO7t27H014IiLSWKxg6ItHOPFUDoHyg76QVD+vCH05CVTg95VS4Suh0ldCeaCMSn85lcFyygKVVFh+ygKhBFR5MBBKQNnBqrlFBRY+LCoMGz82QWwC2PgNg4ABfgwChoHfgAAG/urHhlG1jqqyVR/w3cD2wxzfD7/JHMhoHRPDNjCD7qovOB5sy0vQ8hK0YjDtWFymF7cZi8cRQ4wjtmqsnDji3PEkuuNI8iaQ5ImnVUw8Sd44EqrGyInzOEOtCaoea6wcibgOHSA3FzIyYPvhLjaRBnJ5Q1N8u3oVb/DPEMFAVYKtrKo1cFUSrvKg1sEHLbMrighUFlHmK6bMV0SJr4TSQBmlgXJK7EBVt/cDXd5LTZMS46DH1S2Fq7rIBw0D2+Cg1m0VDXt9glWT70gFARsctiPUrdRygeXGttwH/jbZMRjE4MSL2xGDx4zB64jB64ytau0WR4I7lnh3PEne2Kox3WKJ97qJczuJdTuIq/q7FFf1OMbl0M0SROSE0eDE2BtvvMHkyZN5/vnnGTJkCNOmTWPs2LF89913tGtX+w/X/PnzGT9+PA899BA/+tGPeO2117joootYtmwZffr0AWDq1Kn89a9/Zfr06XTu3JkpU6YwduxY1qxZg9ersUykhQn4Ql2zqn4BPfC4NDT94LFdWUKFr5hyXzFl/lLK/WWUmQZlDhelhjPU3cAwKbGhBINSbEpsm1LboswOUmYHqbQtsN0YuLFtD0HbQ9DyELC9OIwYPE4vHkdoinVW/SrprPpF0hNDnDOGBG8sCe4YEjyxxLs9xLhDH4pi3KFfI71uE7ejibsE2DZYgVASJ1BZNVXUnNtW6NdsDDAMbBv8WFTaASqDAXy2n0orQKUVoCzopzzoxx+0CVgQtAwCVuhxIAgYJqYRqsc0HJiGiQGYgGEYmDYYpo2JAxMbwwATg6pNMG0Dw7DBJjTHJjRElEXo/zbYNrZtYWNjWUGMoB/sg1pNWQEIBrAt34HnVlUrqmCAoO0jEKwkYPkJWL7Q3A7gt3z4gwH8dgC/5cdvBwnaoedBO0DADhLAIoBVlXyqmgBf1WOfYVBZ9et6hXngcfBI/8bViahaf4EM6shUNRrTMjAxMG0zlLgKjz0TGn/GsD1gHxh/xjRiMR2xOM0YPI4Y3NW/zDtjiHV6Q+PPuGOId4V+kU/wxJLgiSXRHUu81xMac+YHY9B4nKa+KIiIRAOHExyJ4E2EhLQjFjcI/WxSq2UbHPjsViu5Vlzzx6Wque0vp8JfSqm/lCJfCdsKc3EnxVBm+SgLVlJh+agIhlowV9rB0GcUoLKqJVv139vKgx+bNZeVm2aN4INGEMwgdXUvrf6raxFKz1Vw0BhuNgdauv2A17LxWoQmGxxVw1zaP/gzZxuh1696FEwbsDAJGiZBTII4CGJiVT23MAliVD2v+sxmOzDtWAwrHtOOw7DiMaw4DCsO04rDQTzJnmRax6TQJiaJ1vFeUuLcpMS6SIl10yrOTXLVPCnGhUN/i0XkIIZt24caqbdOQ4YM4dRTT+Xpp58GwLIsMjMzufXWW7nrrrtqlb/88sspLS3lgw8+CC877bTTyM7O5vnnn8e2bdq3b89tt93G7bffDsD+/ftJTU3l5Zdf5oorrjhiTEVFRSQlJbF//34SExMbcjjRy18eaqlRT7ZtUx4or7U8YFlUBq26N7KCEPRjBH3hbklGsGqA5urngarnAT8EKwkEK/AHKvAHQo99wUr8wQp8/koqgxX4Ar7QZPlCf8ANk0oMKjGooOqLtB36k+wDKrHx2zaVQAAbCH1JtXGB7cTCBbYLh+nB4fDgMD04HV6cDi9uhxOv6cRjOvCaJl5H6HFM1TzWYRJjOolxmHgdDjwGOIwgphHEJIBBENOwsG0/gWAAf8BHwAoQDAYIWP7QPOgnaAUOTMFQUiFoBbCsYGhuBwlaoaSCZQUJ2qHpwPIgQdvCompuB7HtIJblw7YDYAew7ACW5ccwLCzs0I+AhhGeB4CKqsG3y6ua+JcZJuVVTfsbNg5R0zNtcNngsgxctoHTNjBsA4OqxAQGJmZ4blQnK6rWOQEXFk7bJnQ2WDhtCxcWLrt6CuKyLZx26CdTv2Hhx8JnEE7Y/HD+w2U+AypNtbhpMjY4bROHZWLajtBUNRiyw3Zi4sJhu3AYbhy4cRpunKYXp+nBZXpwOby4HB6cTi8upxe3y4vbGYPH5cXt9OB2uPA4XXgcLtxOFzEONx6nG4/ThdfpxmmYLFu4mLNPH0WcNwa3K9RdxGWauJwmTtPA5TD14Viknvx+Px999BHnn38+LldVy8oLL4SdO6FtW3j//cgGKHICqvO6qkvQXzvJVv1Dqa/kwLwy9NiuLMLnKw614K4sptJfQnnVD6ilgQrKAuWUVY1/WXbQDV7KDxr7sqyqdVvoRjAHlkXb585abAOCMRjBGMygFzPoxRn04Ax4cFoe3EEXSaaXFIeXNq4Y2ji9JLpt4txBYtw2HkcQjzOA2xHE5QjiNC0sy4cv6MMX9OO3gvisIAE7SGXV3G8FCdgWPjs0D1TN/VgEq37ktGwbCxvbtrGwsGywsUK/64Z/FDWqEoahxGCN5xg1lluEuvcathMDJ4bhxAi3fHdX3U3ahWF6cDi8uEwXHsPEYzrxmAYxhln1PSr02GuaeE2DWMMgxjTxGuAwApi2H8MIYNgBMPxV3138GHaAgB0gEPThtwL4bQu/TWhO1dwO9QDw2zYB28ZvWwRsG59tUfWTMNhG6LEdSoLaGNh2aDKMqm8HRuhbA6YDAwMMB4bhAMPEMBwYZuiHVaPqOZgUFu4iLT0Dp8ONaTgxTReG6cA0q547XDgcLpymE5fhCH0uNEycphn6rGiYuEwHrqrlbtPEaYQ+R5rYmIaNaViAhcO0wbYwscEI/evYlkXAtkL/3rZBEAvLMAiGfhMnaBtYtk3QgKBVddraVug1wcQm1OrStkPHCaF/dwMTDBOH4cThdIHTi8M0cRgGhmHiMEPfrhymo2qZgdN0YBjgNB14TDdOhwvTqPoh3wADA8ME0zAwoFm1+KxvrqhBLcZ8Ph9Lly7l7rvvDi8zTZPRo0ezYMGCOrdZsGABkydPrrFs7NixzJgxA4BNmzaRn5/P6NGjw+uTkpIYMmQICxYsqDMxVllZSWXlgV87ioqKgNAfFr/f35BDilqO1y7H3PRFvcsXmSYjOnVowogiqPonpiMMhBqV6p1zcdIYQ/6ZlonDcuKwHLhsE5dl4rYNYmwDrw2xQJxtE2fbxGOTYAeJt4LE4McmQIAgfgL4CVBpEP4Fsnr8pMrwOBtmjZZC1WNyVI+9YRlQaUClGfqT13TMqunYu74BGLaNuyqp5w4/DsVvQ+gHSw5M1ctto/YyCyO8nIO2CX3sMWpsU/VbaKjlWHUsB81/+GfJqPop1j6opEH1MqPG1qYdSjqaODBssyoB6Qw9xhmajOq5G8NwY5geTNODYXoxTQ+mIwbTEYPL4cZtunGboURUaHwTD15nqAWht6oVYYzTE2o56Aq1HPS6Doxp4nWG5scjGeX3+9kT76ZL67g6vmyEXn0raDXkNwiRFq36M1aNz1rvvHNwgeMckciJr87r6lAcMaHJk1Kvuk1Cn/1iD1co6Asl0/ylUFmC4a9KtgUqqG5df2AeapxfYfspC/pDiTXLR1nQR6lVgW3b2BgELfAHbXyWTSBgUxm08QftUKIDA7BwBctx+Utw+ktC80AxrurHvmKc/mKc/pJQi3tCP3ruM032ORzsdZgHHpsm+xwm+8zQ8jLTrBq8rQzbWRbucfrDV7egrtfC5qju13BIP/xQF0kW1R9CTyw//BrRkM9sMcC+xguluSjbdg3Bkt6HLfPBr4bSMy3hOEXUtOqbH2rQN/Fdu3YRDAZJTU2tsTw1NZVvv/22zm3y8/PrLJ+fnx9eX73sUGV+6KGHHuKBBx6otfyTTz4hNvawb/0njKG7dlG/ERWOP6OqqbTDNnDY5kFfvKvmdqh1iMMO/WbhrE40EEo2uACPbePGxm1beGwLj23jIghYWIZF0LCwsAgYNkHDCo0zZFSPNcRBXbtCj31UtwAyaq7DwFfHF3DDtkMpFduomld1f6taZoSXGRjV84MfV/1hD/9X/dw2Dypb/ai6jVT1MhNwYOHCNpzYtougUdUuynCHluMGw4lpmOGWVU7cOHHhxIPLcOHEjRs3XtNNrOkm1uHC6zJwm+A2weMAtyP0+GhyEIYdxGH5cFg+TMuH0/Jh2qHnhm1h2qF/L9O2MKpabQWrfjny4Sdg+/HZAfz4q7rnWQQsi6Ad+mUtaFsEsUK/oBHEtm2CoUf4DQcBw8SHWTU3CBgm/qq2fn4jNA9UjSll2U6wPdiEBqq18GBVdQ11EfoVyGU6cRlO3IYTt+HCbTirfjFz4sGBx3TiNh24HQZOA1wmOM3Q3GEc3WvYrFV/0gRCnyIrOajjBWVVUzSYNWtWpEMQaVZ0TYk0vhPvunJwpLRbdffTQ/58aQKhe8rU3VvTtnAFS/EESnAHikkKFNM2WIK76rk7UIy7sgRPsLhq2X4IloYTZnscTvY6nOxzONnrcLDX4WCfw2SvabLfNNhnGuw3DSoO+iHbUf09J/zj4oHJsEOf6B3Vywh9D3Jw4LuQwz7QK8IR/n5U3fIplGQ0wt8MqGr9E/qOYRgGJjZO28LEwomNww6G5lg4bAsnQRxVPSkcBDFtC9sIhj5Dh78/HfgeFcAiYEDAsKuGwwj9uO03zBrfnXxV35uqv1uFtqn63kfoe5Gj6nuT46DXoubrUrNM9eAYTrtq3UHPnVUJzxqZL6P6x2i75uPwvOb/Dy5Tq5xRnQsMPQ4ClmGH84NBg6rWd6F5sKpMdY8dq45l9WkpadgHfqI2qw6v+jtmeLiVH5Qx7FA7uepy1a9KeDIO/LhuV/24blHdbsSBD8dBr0fVz+bGoRsmVLfLszn08cz9ai4bm0dahbKy+n0jOSHvSnn33XfXaIVWVFREZmYmY8aMaT5dKQNn47frn9aPsW3mW7U7/wctm8ChulIaJjhc4V+A6sNhOHGatU+b49odyQqGxk8yTKhqQnu4Y7BtO9y90TRMHFVjQdm2TcCysSwbh2ngMCN3Rx6/38+sWbM455xzDt+MXkTqTdeVSOPSNSXS+HRdNTIrQIptkWI66WLUr+uGP+jHMAwchqPO7wL+YKi74wl9987q0ZMaEL9t24c93uoRmaLxNTnidWWHuj5iBUJz00GoZWT190qj1mtl2VbVcDnWgcYRVQlP0wiNo2xZVd8vq147s2p8PdOoHmP4KF8ruyrpZVtVU9VjwwSn5xCb2Fh2KElKVXdd27ZxmqHv87Zth6oBrOrHto1l06zGxK3uXXgkDUqMtWnTBofDQUFBzcanBQUFpKXVPWhlWlraYctXzwsKCkhPT69RJjs7u846PR4PHk/tE8DlcjWfPyhHcRzuJggjOrmAxrkpQ7S9Zs3qHBaJErquRBqXrimRxqfrqrE0/DU80uuuf5YTVySuq7rTVBIp9f33b9Co0263m0GDBjF79uzwMsuymD17NkOHDq1zm6FDh9YoD6GmwtXlO3fuTFpaWo0yRUVFLFy48JB1ioiIiEgUuPVWuOqq0FxERETkBNTgrpSTJ0/m2muv5ZRTTmHw4MFMmzaN0tJSJkyYAMA111xDRkYGDz30EAC/+c1vOOOMM/jLX/7CBRdcwOuvv86SJUv429/+BoSaE06aNIk//vGPdO/enc6dOzNlyhTat2/PRRdd1HhHKiIiIiKN6733IDcXMjLgqaciHY2IiIhIgzU4MXb55Zezc+dO7r33XvLz88nOzmbmzJnhwfO3bt2KaR5oiDZs2DBee+017rnnHn7/+9/TvXt3ZsyYQZ8+fcJl7rzzTkpLS7npppvYt28fI0aMYObMmXi9jdNdTkRERERERERE5IeOavD9iRMnMnHixDrXzZkzp9ayyy67jMsuu+yQ9RmGwYMPPsiDDz54NOGIiIiISCTMnQvBIDgckY5ERERE5KickHelFBEREZEo0LlzpCMQEREROSYNGnxfRERERERERESkuVBiTEREREREREREWiR1pRQRERGRozNnDlRWgscDo0ZFOhoRERGRBlNiTERERESOzlVXQW4uZGTA9u2RjkZERESkwZpFYsy2bQCKiooiHInI0fH7/ZSVlVFUVITL5Yp0OCLNgq4rkcZV5zVlWQfm+hwm0mD6WyXS+HRdSbXqHFF1zuhQmkVirLi4GIDMzMwIRyIiIiLSAuXlQVJSpKMQERERqaW4uJikw3xOMewjpc5OAJZlsWPHDhISEjAMI9LhiDRYUVERmZmZbNu2jcTExEiHI9Is6LoSaVy6pkQan64rkcan60qq2bZNcXEx7du3xzQPfe/JZtFizDRNOnToEOkwRI5ZYmKi3rxFGpmuK5HGpWtKpPHpuhJpfLquBDhsS7Fqh06ZiYiIiIiIiIiINGNKjImIiIiIiIiISIukxJhIFPB4PNx33314PJ5IhyLSbOi6EmlcuqZEGp+uK5HGp+tKGqpZDL4vIiIiIiIiIiLSUGoxJiIiIiIiIiIiLZISYyIiIiIiIiIi0iIpMSYiIiIiIiIiIi2SEmMiIiIiIiIiItIiKTEmchw8/PDDGIbBpEmTwsvy8/O5+uqrSUtLIy4ujoEDB/LOO+/U2G7Pnj1ceeWVJCYmkpyczPXXX09JSclxjl4ketx///0YhlFj6tWrV3h9RUUFv/rVr2jdujXx8fFccsklFBQU1Khj69atXHDBBcTGxtKuXTvuuOMOAoHA8T4UkahwuGtqz5493HrrrfTs2ZOYmBg6duzIr3/9a/bv31+jDl1TIjUd6W9VNdu2Oe+88zAMgxkzZtRYp+tKpKb6XFcLFizgrLPOIi4ujsTERE4//XTKy8vD6/XdSg7FGekARJq7xYsX83//93/069evxvJrrrmGffv28f7779OmTRtee+01fvrTn7JkyRIGDBgAwJVXXkleXh6zZs3C7/czYcIEbrrpJl577bVIHIpIVDj55JP59NNPw8+dzgN/yn7729/y4Ycf8tZbb5GUlMTEiRO5+OKLmTdvHgDBYJALLriAtLQ05s+fT15eHtdccw0ul4s///nPx/1YRKLBoa6pHTt2sGPHDh577DF69+7Nli1b+MUvfsGOHTt4++23AV1TIodyuL9V1aZNm4ZhGLWW67oSqdvhrqsFCxZw7rnncvfdd/PUU0/hdDpZsWIFpnmgLZC+W8kh2SLSZIqLi+3u3bvbs2bNss844wz7N7/5TXhdXFyc/c9//rNG+VatWtkvvPCCbdu2vWbNGhuwFy9eHF7/8ccf24Zh2Lm5ucclfpFoc99999n9+/evc92+fftsl8tlv/XWW+Fla9eutQF7wYIFtm3b9kcffWSbpmnn5+eHyzz33HN2YmKiXVlZ2aSxi0Sjw11TdXnzzTdtt9tt+/1+27Z1TYnUpT7X1fLly+2MjAw7Ly/PBuz33nsvvE7XlUhtR7quhgwZYt9zzz2HXK/vVnI46kop0oR+9atfccEFFzB69Oha64YNG8Ybb7zBnj17sCyL119/nYqKCkaNGgWEfvVITk7mlFNOCW8zevRoTNNk4cKFx+sQRKLO+vXrad++PV26dOHKK69k69atACxduhS/31/jeuvVqxcdO3ZkwYIFQOi66tu3L6mpqeEyY8eOpaioiG+++eb4HohIlDjUNVWX/fv3k5iYGP6VXteUSN0Od12VlZXxs5/9jGeeeYa0tLRa2+q6Eqnboa6rwsJCFi5cSLt27Rg2bBipqamcccYZfPXVV+Ft9d1KDkeJMZEm8vrrr7Ns2TIeeuihOte/+eab+P1+Wrdujcfj4eabb+a9996jW7duQGgMsnbt2tXYxul00qpVK/Lz85s8fpFoNGTIEF5++WVmzpzJc889x6ZNmxg5ciTFxcXk5+fjdrtJTk6usU1qamr4msnPz6/xRaN6ffU6kZbmcNfUD+3atYs//OEP3HTTTeFluqZEajvSdfXb3/6WYcOGMW7cuDq313UlUtvhrqvvv/8eCI1DduONNzJz5kwGDhzI2Wefzfr16wF9t5LD0xhjIk1g27Zt/OY3v2HWrFl4vd46y0yZMoV9+/bx6aef0qZNG2bMmMFPf/pT5s6dS9++fY9zxCInhvPOOy/8uF+/fgwZMoROnTrx5ptvEhMTE8HIRE5Mh7umrr/++vC6oqIiLrjgAnr37s39998fgUhFThyHu67atm3LZ599xvLlyyMYociJ53DX1UknnQTAzTffzIQJEwAYMGAAs2fP5sUXXzxkQwWRamoxJtIEli5dSmFhIQMHDsTpdOJ0Ovniiy/461//itPpZOPGjTz99NO8+OKLnH322fTv35/77ruPU045hWeeeQaAtLQ0CgsLa9QbCATYs2dPnc3uRVqi5ORkevTowYYNG0hLS8Pn87Fv374aZQoKCsLXTFpaWq27VFY/13UlUvOaqlZcXMy5555LQkIC7733Hi6XK7xO15TIkR18XX322Wds3LiR5OTk8GdEgEsuuSQ8nIauK5EjO/i6Sk9PB6B37941ypx00knh7pb6biWHo8SYSBM4++yzWbVqFTk5OeHplFNO4corryQnJ4eysjKAGndJAXA4HFiWBcDQoUPZt28fS5cuDa//7LPPsCyLIUOGHL+DEYliJSUlbNy4kfT0dAYNGoTL5WL27Nnh9d999x1bt25l6NChQOi6WrVqVY0PRrNmzSIxMbHWhymRlujgawpCLcXGjBmD2+3m/fffr9UKWteUyJEdfF3dddddrFy5ssZnRIAnnniCl156CdB1JVIfB19XWVlZtG/fnu+++65GmXXr1tGpUydA363kCCI9+r9IS3HwXSl9Pp/drVs3e+TIkfbChQvtDRs22I899phtGIb94Ycfhrc599xz7QEDBtgLFy60v/rqK7t79+72+PHjI3QEIpF322232XPmzLE3bdpkz5s3zx49erTdpk0bu7Cw0LZt2/7FL35hd+zY0f7ss8/sJUuW2EOHDrWHDh0a3j4QCNh9+vSxx4wZY+fk5NgzZ86027Zta999992ROiSRiDrcNbV//357yJAhdt++fe0NGzbYeXl54SkQCNi2rWtKpC5H+lv1Q/zgrpS6rkRqO9J19cQTT9iJiYn2W2+9Za9fv96+5557bK/Xa2/YsCFch75byaFojDGRCHC5XHz00Ufcdddd/PjHP6akpIRu3boxffp0zj///HC5V199lYkTJ3L22WdjmiaXXHIJf/3rXyMYuUhkbd++nfHjx7N7927atm3LiBEj+Prrr2nbti0Q+sW9+lqprKxk7NixPPvss+HtHQ4HH3zwAbfccgtDhw4lLi6Oa6+9lgcffDBShyQSUYe7pubMmRO+U1f1jWGqbdq0iaysLF1TInU40t+qI9F1JVLbka6rSZMmUVFRwW9/+1v27NlD//79mTVrFl27dg3Xoe9WciiGbdt2pIMQERERERERERE53jTGmIiIiIiIiIiItEhKjImIiIiIiIiISIukxJiIiIiIiIiIiLRISoyJiIiIiIiIiEiLpMSYiIiIiIiIiIi0SEqMiYiIiIiIiIhIi6TEmIiIiIiIiIiItEhKjImIiIiIiIiISIukxJiIiIiIiIiIiLRISoyJiIiIyAnlJz/5CSkpKVx66aWRDkVEREROcEqMiYiIiMgJ5Te/+Q3//Oc/Ix2GiIiINANKjImIiIicoEaNGsWkSZMaVMa2bW666SZatWqFYRjk5OTUe1+GYTRom6YyatQoEhIS6lx33XXXheOcMWPG8Q1MRERETjhKjImIiEizcXBSxOVy0blzZ+68804qKioiHVrEvPvuu/zhD38IP585cyYvv/wyH3zwAXl5efTp06deCTaAG2+8MbxNtHryySfJy8uLdBgiIiJygnBGOgARERGRxnTuuefy0ksv4ff7Wbp0Kddeey2GYfDII49EOrSIaNWqVY3nGzduJD09nWHDhjW4rtjYWNLS0hortEPKzs4mEAjUWv7JJ5/Qvn37w26blJREUlJSU4UmIiIizYxajImIiEiz4vF4SEtLIzMzk4suuojRo0cza9as8PqZM2cyYsQIkpOTad26NT/60Y/YuHFjjTpGjRrFrbfeyqRJk0hJSSE1NZUXXniB0tJSJkyYQEJCAt26dePjjz9ucL2//vWvufPOO2nVqhVpaWncf//9hz2et99+m759+xITE0Pr1q0ZPXo0paWl4fWWZR22voNbg1133XXceuutbN26FcMwyMrK4rrrruOLL77gySefDLe227x5c71fb8uymDp1Kt26dcPj8dCxY0f+9Kc/HdNrmZOTw+rVq2tNR0qKiYiIiDSUEmMiIiLSbK1evZr58+fjdrvDy0pLS5k8eTJLlixh9uzZmKbJT37yEyzLqrHt9OnTadOmDYsWLeLWW2/llltu4bLLLmPYsGEsW7aMMWPGcPXVV1NWVtbgeuPi4li4cCFTp07lwQcfrJG4O1heXh7jx4/n5z//OWvXrmXOnDlcfPHF2LZ9VPU9+eSTPPjgg3To0IG8vDwWL17Mk08+ydChQ8PdJPPy8sjMzKz3a3z33Xfz8MMPM2XKFNasWcNrr71GamrqMb2WIiIiIseLYR/8yUpERETkBHbdddfxyiuv4PV6CQQCVFZWYpomb775Jpdcckmd2+zatYu2bduyatWq8NhZo0aNIhgMMnfuXACCwSBJSUlcfPHF4bsh5ufnk56ezoIFCzjttNOOql6AwYMHc9ZZZ/Hwww/XqmPZsmUMGjSIzZs306lTp1rr61PfqFGjyM7OZtq0aQBMmzaNadOm1WgV9sMydamrTHFxMW3btuXpp5/mhhtuOOR2x/pa/tDo0aNZsWIFpaWltGrVirfeeouhQ4fWKGMYBu+99x4XXXTREesTERGRlkstxkRERKRZOfPMM8nJyWHhwoVce+21TJgwoUZSbP369YwfP54uXbqQmJhIVlYWAFu3bq1RT79+/cKPHQ4HrVu3pm/fvuFl1a2iCgsLj7pegPT09HAdP9S/f3/OPvts+vbty2WXXcYLL7zA3r17j7q+xrZ27VoqKys5++yzD1uuoa/lkXz66afs3LmTsrIytm/fXispJiIiIlJfSoyJiIhIsxIXF0e3bt3o378/L774IgsXLuQf//hHeP2Pf/xj9uzZwwsvvMDChQtZuHAhAD6fr0Y9LperxvPqO10e/BwId5U8lnp/2N2ymsPhYNasWXz88cf07t2bp556ip49e7Jp06ajqq+xxcTE1KtcQ19LERERkeNFiTERERFptkzT5Pe//z333HMP5eXl7N69m++++4577rmHs88+m5NOOqlWC6yj0VT1QihpNHz4cB544AGWL1+O2+3mvffea5S6q7ndboLBYIO36969OzExMcyePbtR4xERERE5XpQYExERkWbtsssuw+Fw8Mwzz5CSkkLr1q3529/+xoYNG/jss8+YPHnyMe+jqepduHAhf/7zn1myZAlbt27l3XffZefOnZx00knHXPfBsrKyWLhwIZs3b2bXrl31brnl9Xr53e9+x5133sk///lPNm7cyNdff12jhZ6IiIhINFNiTERERJo1p9PJxIkTmTp1KuXl5bz++ussXbqUPn368Nvf/pZHH330mPdhmmaT1JuYmMiXX37J+eefT48ePbjnnnv4y1/+wnnnnXfMdR/s9ttvx+Fw0Lt3b9q2bVtrXLTDmTJlCrfddhv33nsvJ510EpdffvlxG+NMRERE5FjprpQiIiIickT1uXNlNNFdKUVERKQ+1GJMREREROrl2WefJT4+nlWrVkU6lEP6xS9+QXx8fKTDEBERkROEWoyJiIiIyBHl5uZSXl4OQMeOHXG73RGOqG6FhYUUFRUBkJ6eTlxcXIQjEhERkWimxJiIiIiIiIiIiLRI6kopIiIiIiIiIiItkhJjIiIiIiIiIiLSIikxJiIiIiIiIiIiLZISYyIiIiIiIiIi0iIpMSYiIiIiIiIiIi2SEmMiIiIiIiIiItIiKTEmIiIiIiIiIiItkjPSATQGy7LYsWMHCQkJGIYR6XBERERERERERCSCbNumuLiY9u3bY5qHbhfWLBJjO3bsIDMzM9JhiIiIiIiIiIhIFNm2bRsdOnQ45PpmkRhLSEgAQgebmJgY4Wialt/v55NPPmHMmDG4XK5IhyMtlM5DiRY6FyVa6FyUaKFzUaKFzkWJFjoXW66ioiIyMzPDOaNDaRaJseruk4mJiS0iMRYbG0tiYqIuaokYnYcSLXQuSrTQuSjRQueiRAudixItdC7KkYbc0uD7IiIiIiIiIiLSIikxJiIiIiIiIiIiLVKz6EopIiIiIsfHrbfeyt69e0lJSeGpp56KdDgiIiIix0SJMRERERGpt/fee4/c3FwyMjKUGBMRiVLBYBC/3x/pMKKC3+/H6XRSUVFBMBiMdDjSiBwOB06n84hjiB2JEmMiIiIiIiIizURJSQnbt2/Htu1IhxIVbNsmLS2Nbdu2HXMCRaJPbGws6enpuN3uo65DiTERERERqbe5c+cSDAZxOByRDkVERH4gGAyyfft2YmNjadu2rRJBgGVZlJSUEB8fj2lqmPXmwrZtfD4fO3fuZNOmTXTv3v2o/32VGBMRERGReuvcuXOkQxARkUPw+/3Ytk3btm2JiYmJdDhRwbIsfD4fXq9XibFmJiYmBpfLxZYtW8L/xkdDZ4WIiIiIiIhIM6KWYtJSNEayUy3GRERERKSm/FWw6Uso3Qk9z4cOp4K+ZImIiEgzpMSYiIiIiIRYQfj8TzD3LweWffUEdD4DrngVPAnMmTOHyspKPB4Po0aNilioIiLSshiGwXvvvcdFF10U0ThGjRpFdnY206ZNi2gc0njUlVJEREREwLZhxi8PJMW6nQN9LwOnFzZ9Aa9cApXFXHXVVZx77rlcddVVkY1XRESajZ07d3LLLbfQsWNHPB4PaWlpjB07lnnz5oXL5OXlcd5550UwyqO3ePFizj77bJKTk0lJSWHs2LGsWLEivL6iooLrrruOvn374nQ6D5n8e/XVV+nfv3/4Tow///nP2b179yH3u3v3bs4991zat2+Px+MhMzOTiRMnUlRUFC4zZ84cDMOoNeXn54fLBINBpkyZQufOnYmJiaFr16784Q9/aDZ3PlViTERERERg2T9h5etgOuHiv8NVb8Mlf4cJH4M3GbYthP/9PtJRiohIM3TJJZewfPlypk+fzrp163j//fcZNWpUjaRPWloaHo8nglEenZKSEs4991w6duzIwoUL+eqrr0hISGDs2LH4/X4glHiKiYnh17/+NaNHj66znnnz5nHNNddw/fXX88033/DWW2+xaNEibrzxxkPu2zRNxo0bx/vvv8+6det4+eWX+fTTT/nFL35Rq+x3331HXl5eeGrXrl143SOPPMJzzz3H008/zdq1a3nkkUeYOnUqTz311DG+OtFBiTERERGRlm73Rvj4ztDjs++FfpcdWJcxEK54LfR42T95/NcXc9999zF58uTjH6eIiDQ7+/btY+7cuTzyyCOceeaZdOrUicGDB3P33Xdz4YUXhssZhsGMGTMOWc+oUaOYOHEiEydOJCkpiTZt2jBlypQarZoqKyu5/fbbycjIIC4ujiFDhjBnzpzw+t27dzN+/HgyMjKIjY2lb9++/Pvf/z5s/B9++CFJSUm8+uqrda7/9ttv2bNnDw8++CA9e/bk5JNP5r777qOgoIAtW7YAEBcXx3PPPceNN95IWlpanfUsWLCArKwsfv3rX9O5c2dGjBjBzTffzKJFiw4ZW0pKCrfccgunnHIKnTp14uyzz+aXv/wlc+fOrVW2Xbt2pKWlhaeDB7WfP38+48aN44ILLiArK4tLL72UMWPGHHbf999/P9nZ2fzrX/8iKyuLpKQkrrjiCoqLi8NlRo0axa233sqkSZNISUkhNTWVF154gdLSUiZMmEBCQgLdunXj448/PuR+GoMSYyIiIiIt3ewHIVABXUbB0Ftrr88aDoMmAPDT2AXcf+8UJcZERKRRxMfHEx8fz4wZM6isrDymuqZPn47T6WTRokU8+eSTPP744/z9738Pr584cSILFizg9ddfZ+XKlVx22WWce+65rF+/Hgh1aRw0aBAffvghq1ev5qabbuLqq68+ZALotddeY/z48bz66qtceeWVdZbp2bMnrVu35h//+Ac+n4/y8nL+8Y9/cNJJJ5GVlVXvYxs6dCjbtm3jo48+wrZtCgoKePvttzn//PPrXceOHTt49913OeOMM2qty87OJj09nXPOOadGF1aAYcOGMXv2bNatWwfAihUr+Oqrr47YtXXjxo3MmDGDDz74gA8++IAvvviChx9+uEaZ6dOn06ZNGxYtWsStt97KLbfcwmWXXcawYcNYtmwZY8aM4eqrr6asrKzex9lQSoyJiIiItGS5y2DNDMCAsX+GQ932fPT9EJNCYOcGdi17/zgGKCIix+rxxx+nQ4cOdOjQoUYLKYBNmzaF1916a+0fRy688MLw+h96+eWXw+vefffdo4rN6XTy8ssvM336dJKTkxk+fDi///3vWblyZYPryszM5IknnqBnz55ceeWV3HrrrTz55JMAbN26lZdeeom33nqLkSNH0rVrV26//XZGjBjBSy+9BEBGRga333472dnZdOnShVtvvZVzzz2XN998s9a+nnnmGX75y1/y3//+lx/96EeHjCkhIXTjmldeeYWYmBji4+OZOXMmH3/8MU5n/e+HOHz4cF599VUuv/xy3G43aWlpJCUl8cwzzxxx2/HjxxMbG0tGRgaJiYk1koXp6ek8//zzvPPOO7zzzjtkZmYyatQoli1bFi5z1113ccUVV9CrVy9cLhcDBgxg0qRJh0wGVrMsi5dffpk+ffowcuRIrr76ambPnl2jTP/+/bnnnnvo3r07d999N16vlzZt2nDjjTfSvXt37r33Xnbv3n1U50N9KTEmIiIi0pJ9/ufQvN/lkHryocvFJMPgm5jk/xWD33ayavu+4xGdiIg0gqKiInJzc8nNza3VKisYDIbX7d27t9a2O3fuDK//odLS0vC6Y2nRc8kll7Bjxw7ef/99zj33XObMmcPAgQN5+eWXG1TPaaedhmEY4edDhw5l/fr1BINBVq1aRTAYpEePHuFWavHx8XzxxRds3LgRCL0Wf/jDH+jbty+tWrUiPj6e//3vf2zdurXGft5++21++9vfMmvWrDpbXx2svLyc66+/nuHDh/P1118zb948+vTpwwUXXEB5eXm9j23NmjX85je/4d5772Xp0qXMnDmTzZs31zle2A898cQTLFu2jP/85z9s3LixRqvvnj17cvPNNzNo0CCGDRvGiy++yLBhw3jiiSfCZd58801effVVXnvtNZYtW8b06dN57LHHmD59+mH3m5WVRUJCQvh5eno6hYWFNcr069cv/NjhcNC6dWv69u0bXpaamgpQa7vGVP/0pIiIiIg0L7vWw4ZZgAGjfnfE4ovTxvOBtQaA2QsW0feyMU0coIiINIbExEQyMjIAag1g73A4wutSUlJqbdu2bdvw+h+Ki4sLr4uNjT2mGL1eL+eccw7nnHMOU6ZM4YYbbuC+++7juuuuO6Z6q5WUlOBwOFi6dCkOh6PGuvj4eAAeffRRnnzySaZNm0bfvn2Ji4tj0qRJ+Hy+GuUHDBjAsmXLePHFFznllFNqJON+6LXXXmPz5s0sWLAgPG7Xa6+9RkpKCv/5z3+44oor6hX/Qw89xPDhw7njjjuAUEIpLi6OkSNH8sc//pH09PRDbls9blivXr1o1aoVI0eOZMqUKYfcZvDgwXz11Vfh53fccUe41RhA37592bJlCw899BDXXnvtIffrcrlqPDcMA8uyjljm4GXVr+0Pt2tMSoyJiIiItFSLXgjNe54Hrboctqht20z9Ii/8/NMFy5ikxJiIyAlh8uTJhxwbsnPnzmzfvv2Q277//qG7z1933XWNlrj6od69ex92sP26LFy4sMbzr7/+mu7du+NwOBgwYADBYJDCwkJGjhxZ5/bz5s1j3LhxXHXVVUAoGbNu3Tp69+5do1zXrl35y1/+wqhRo3A4HDz99NOHjKmsrAzTNGskz6qfNyTZU1ZWVqvrZXWC7+AbDBxJ9T4PN55bTk5OjaRZ9TH8cN9Nmaw6ntSVUkRERKQlqiyGnKq7TQ4+9K3eq835bieLNx/oYrPdnYVdtqepohMRkRZi9+7dnHXWWbzyyiusXLmSTZs28dZbbzF16lTGjRvXoLq2bt3K5MmT+e677/j3v//NU089FR43rUePHlx55ZVcc801vPvuu2zatIlFixbx0EMP8eGHHwLQvXt3Zs2axfz581m7di0333wzBQUFde6rR48efP7557zzzjtMmjTpkDGdc8457N27l1/96lesXbuWb775hgkTJuB0OjnzzDPD5dasWUNOTg579uxh//795OTkkJOTE17/4x//mHfffZfnnnuO77//nnnz5vHrX/+awYMH0759ewDee+89evXqFd7mo48+4qWXXmL16tVs3ryZDz/8kF/84hcMHz48PPD/tGnT+M9//sOGDRtYvXo1kyZN4rPPPuNXv/pVjX3/6U9/4sMPP2Tz5s289957PP744/zkJz9p0L9PtFKLMREREZGWaPW74CuG1t2g86jDFrUsm6n/+w6A+NxFVLbPZp+RwJaF75N15nVNHqqIiDRf8fHxDBkyhCeeeIKNGzfi9/vJzMzkxhtv5Pe//32D6rrmmmsoLy9n8ODBOBwOfvOb33DTTTdRXFwMwEsvvcQf//hHbrvtNnJzc2nTpg2nnXZaePD8e+65h++//56xY8cSGxvLTTfdxEUXXcT+/fvr3F/Pnj357LPPwi3H/vKXv9Qq06tXL/773//ywAMPMHToUEzTZMCAAcycObNGq6zzzz+fLVu2hJ8PGDAAONAa7LrrrqO4uJinn36a2267jeTkZM466yweeeSR8Db79+/nu+++Cz+PiYnhhRde4Le//S2VlZVkZmZy8cUXc9ddd4XL+Hy+8OsRGxtLv379+PTTT2sk7Z566immTJnCL3/5SwoLC2nfvj0333wz9957b/3/caKYYTekzV2UKioqIikpif3795OYmBjpcJqU3+/no48+4vzzz6/VF1fkeNF5KNFC56JEixPyXHzpAtjyFZx9H4ysu3tNtf/k5PKb13NI8Dj58s4z+fnT/2X5Xi/TUj/mot8euvuIHH8n5LkozZLOxcioqKhg06ZNdO7cGa/XG+lwjqtRo0aRnZ3NtGnTaiy3LIuioiISExNrdQeUE9/hzvn65op0VoiIiIi0NPu3h5JiAH0vPWxRf9Di8VnrALjp9C6kxLnJ7tYRgJxdBuzberjNRURERKKaEmMiIiIiLc2qt0PzTsMhueNhi76xeBtbdpfRJt7Nz0d0BiC7a2gsk+VWN/j2oyYNVURERKQpaYwxERERkZZmdVVirO9lhy1W7gvy19nrAZh4ZjfiPKGPjgMyUwBYY2dRseZFvKf9ouliFRERqYc5c+ZEOgQ5QR1Vi7FnnnmGrKwsvF4vQ4YMYdGiRYcs+8ILLzBy5EhSUlJISUlh9OjRtcpfd911GIZRYzr33HOPJjQREREROZy9myF/FRgm9D783b6mL9hMYXElGckxjB8Saln2wAMP8MSf7iEGH36crNmyA3R3ShERETlBNTgx9sYbbzB58mTuu+8+li1bRv/+/Rk7diyFhYV1lp8zZw7jx4/n888/Z8GCBWRmZjJmzBhyc3NrlDv33HPJy8sLT//+97+P7ohERERE5NCquz52Gg6xrQ5ZbH+5n+fmbARg8jk98DgdQOhHz2lPPEHp9m8ByAl2gXX/a9qYRURERJpIgxNjjz/+ODfeeCMTJkygd+/ePP/888TGxvLiiy/WWf7VV1/ll7/8JdnZ2fTq1Yu///3vWJbF7Nmza5TzeDykpaWFp5SUlKM7IhERERE5tG8/DM17XXDYYn/7ciP7y/30SI3nogEZtdbbuzYBkGN1hfWfNHqYIiIiIsdDg8YY8/l8LF26lLvvvju8zDRNRo8ezYIFC+pVR1lZGX6/n1atav5COWfOHNq1a0dKSgpnnXUWf/zjH2ndunWddVRWVlJZWRl+XlRUBIRuCez3+xtySCec6uNr7scp0U3noUQLnYsSLU6Yc7FsN86t8zEAf9cxcIh4dxZX8uJXocTXpLO6YQUDWMHQunfeeQefz8e3++BP84rIsbthf/9vAr7KUPdMiagT5lyUZk/nYmT4/X5s28ayLCzLinQ4UcG27fBcr0nzY1kWtm3j9/txOBw11tX3/adBibFdu3YRDAZJTU2tsTw1NZVvv/22XnX87ne/o3379owePTq87Nxzz+Xiiy+mc+fObNy4kd///vecd955LFiwoNaBATz00EM88MADtZZ/8sknxMbGNuSQTlizZs2KdAgiOg8lauhclGgR7edi5u6vGGhb7I/pyJz5q4HVdZZ7+3uTcr9Jp3gb36YlfLS5dpn4AICTrXYqe8r8rHrnOfbHdm7C6KUhov1clJZD5+Lx5XQ6SUtLo6SkBJ/PF+lwokpxcXGkQ5Am4PP5KC8v58svvyQQCNRYV1ZWVq86jutdKR9++GFef/115syZg9frDS+/4oorwo/79u1Lv3796Nq1K3PmzOHss8+uVc/dd9/N5MmTw8+LiorCY5clJiY27UFEmN/vZ9asWZxzzjm4XK5IhyMtlM5DiRY6FyVanCjnouO99wCIH3gZ5486v84y2/aWcfuieYDNHy87ldO6HHocshc2zeP7XaWssLpyRrofa3jddcrxc6Kci9L86VyMjIqKCrZt20Z8fHyN79wNVeYL0Of+UFJz9f3nEOs+rqmDRmXbNsXFxSQkJGAYRqTDkUZWUVFBTEwMp59+eq1zvrp34ZE06Oxu06YNDoeDgoKCGssLCgpIS0s77LaPPfYYDz/8MJ9++in9+vU7bNkuXbrQpk0bNmzYUGdizOPx4PF4ai13uVwt5k23JR2rRC+dhxItdC5KtIjqc9EKwqY5ADh6jsFxiDif/nwT/qDNyO5tGNkztc4y1QZ0TOH7XaXkWN04a/MXOEbd0dhRy1GK6nNRWhSdi8dXMBjEMAxM08Q0j757+8HbHmtdkVbdfbL6dZHmxTRNDMOo872mvu89DTor3G43gwYNqjFwfvVA+kOHDj3kdlOnTuUPf/gDM2fO5JRTTjnifrZv387u3btJT09vSHgiIiIicig7lkP5XvAkQUbdn8e+zS/ivZzQncPvGNuzzjKrVq1i2bJlrFq1iuyOyQAst7vB1q/BV9okoYuIiBiGwYwZMw5bZvfu3bRr147Nmzcfl5iO1ahRo5g0aVL4eVZWFtOmTQs/r88xR4MfHsdpp53GO++8E7mAGqjB6dLJkyfzwgsvMH36dNauXcstt9xCaWkpEyZMAOCaa66pMTj/I488wpQpU3jxxRfJysoiPz+f/Px8SkpKACgpKeGOO+7g66+/ZvPmzcyePZtx48bRrVs3xo4d20iHKSIiItLCbfg0NO86Chx1dxp47H/rsG04v28a/Tok11nmvPPOY9CgQZx33nkMyAyVWWGHBuhn26LGj1tERJq9nTt3csstt9CxY0c8Hg9paWmMHTuWefPmhcvk5eVx3nnnHbaeP/3pT4wbN46srCwANm/ejMPhoHv37rXGGMvOzub+++9v7EM5JosXL+amm246Lvv6YTKrMd1zzz3cddddJ8zNDhqcGLv88st57LHHuPfee8nOziYnJ4eZM2eGB+TfunUreXl54fLPPfccPp+PSy+9lPT09PD02GOPAeBwOFi5ciUXXnghPXr04Prrr2fQoEHMnTu3zu6SIiIiInIUqhNj3UbXuXrplr18urYA04DJ59TdWuyHeqYl4HGaFNmxbLLTYMu8I28kIiLyA5dccgnLly9n+vTprFu3jvfff59Ro0axe/fucJm0tLTD5gjKysr4xz/+wfXXX19rXUlJCX/5y1+aJPbG1LZt22O+oWA03An2vPPOo7i4mI8//jjSodTLUXWwnThxIlu2bKGyspKFCxcyZMiQ8Lo5c+bw8ssvh59v3rwZ27ZrTdWZ2ZiYGP73v/9RWFiIz+dj8+bN/O1vf6t150sREREROUoV+yF3aehxlzNrrbZtm6kzQ3cYv2xQJt3axR+yqmuvvZZf/vKXXHvttbgcJn0zkoCq7pSblRgTEYkmtm1T5gscdtpVUlFr2l1SGa5jd0llnWWOVK9t2/WKcd++fcydO5dHHnmEM888k06dOjF48GDuvvtuLrzwwnC5I3Ur/Oijj/B4PJx22mm11t1444088cQTFBYWHnL7yspKbr/9djIyMoiLi2PIkCHMmTPniLHffPPNpKam4vV66dOnDx988AEQ6tY5fvx4MjIyiI2NpW/fvvz73/8+bH0/7EoJB1rKxcTE0KVLF95+++3wus2bN2MYBm+88QZnnHEGXq+XV1999Yj7vu666/jiiy948sknMQwDwzDC3U9Xr17NeeedR3x8PKmpqVx99dXs2rUrvG1paSnXXHMN8fHxpKen15lwdDgcnH/++bz++uuHPd5oceLeWkJERERE6mfLArAtSOkMyZm1Vn+5fhcLN+3B7TT5zejuh63qT3/6U43n2ZnJLNmylxyrG5fmvgr+cnDFNGr4IiJydMr9QXrf+79jqmPk1DlHtd2aB8fW626W8fHxxMfHM2PGDE477bSj7jk2d+5cBg0aVOe6Sy+9lLlz5/Lggw/y9NNP11lm4sSJrFmzhtdff5327dvz3nvvce6557Jq1Sq6d6/9t9GyrHDLqFdeeYWuXbuyZs0aHA4HELpb4qBBg/jd735HYmIiH374IVdffTVdu3Zl8ODB9T6uKVOm8PDDD/Pkk0/yr3/9iyuuuIJVq1Zx0kknhcvcdddd/OUvf2HAgAF4vd4j7vvJJ59k3bp19OnThwcffBAItVbbt28fZ511FjfccANPPPEE5eXl/O53v+OnP/0pn332GQB33HEHX3zxBf/5z39o164dv//971m2bBnZ2dk14h48eDAPP/xwvY8zkpQYExEREWnuNs8NzTuPrLXKsmwe/V+otdjVp3WifXLDklrVA/Dn0AuCvlDLtKwRxxSuiIi0HE6nk5dffpkbb7yR559/noEDB3LGGWdwxRVX0K9fv3rXs2XLFtq3b1/nOsMw+POf/8y4ceP47W9/S9euXWus37p1Ky+99BJbt24N13H77bczc+ZMXnrpJf785z/XqvPTTz9l0aJFrF27lh49egDQpUuX8PqMjAxuv/328PNbb72V//3vf7z55psNSoxddtll3HDDDQD84Q9/YNasWTz11FM8++yz4TKTJk3i4osvrrHd4fadlJSE2+0mNjaWtLS0cLmnn36aAQMG1DjeF198kczMTNatW0f79u35xz/+wSuvvMLZZ58NwPTp0+nQoUOtuNu3b8+2bduwLCvq7waqxJiIiIhIc1edGMuqnRj7aHUeq3OLiPc4+eWorrXWH0l21QD83wYzqHC68G6ep8SYiEiUiHE5WPPg4W9qV+YL1FpW7guGW4rNvXMUMW5HrTJHag0W46q9zaFccsklXHDBBcydO5evv/6ajz/+mKlTp/L3v/+d6667rl51lJeX4/V6D7l+7NixjBgxgilTpvDaa6/VWLdq1SqCwWA4wVWtsrKS1q1b11lfTk4OHTp0qLVNtWAwyJ///GfefPNNcnNz8fl8VFZWNngMsaFDh9Z6npOTU2PZKafUvNv00e57xYoVfP7558TH1x5SYePGjZSXl+Pz+WoMp9WqVSt69qw9NmlMTAyWZVFZWUlMTHS3JFdiTERERKQ5K98HeStDj3+QGAsELR7/ZB0AN4zsTOv4hndfyUiOoW2Ch53Flay2O3PKtoXHGrGIiDQSwzCOmMCqa/3BybLW8Z56dYk8Vl6vl3POOYdzzjmHKVOmcMMNN3DffffVOzHWpk0b9u7de9gyDz/8MEOHDuWOO+6osbykpASHw8HSpUvDXSGr1ZUkAo6Y7Hn00Ud58sknmTZtGn379iUuLo5Jkybh8/nqcTQNExcX1yj7Likp4cc//jGPPPJIrXXp6els2LCh3jHt2bOHuLi4qE+KwVEOvi8iIiIiJ4gt8wEbWneDxPQaq95eup3vd5XSKs7NDSO71L39D5x11lmcfPLJnHXWWUDoS1d1q7EcqxvkLoET5PbsIiISvXr37k1paWm9yw8YMIA1a9YctszgwYO5+OKLueuuu2ptGwwGKSwspFu3bjWmg7saHqxfv35s376ddevW1bl+3rx5jBs3jquuuor+/fvTpUuXQ5Y9nK+//rrW84PHFzvafbvdboLBYI1lAwcO5JtvviErK6vW6xAXF0fXrl1xuVwsXHjgR7C9e/fWeVyrV69mwIABDT3ciFBiTERERKQ52/xVaP6D7o0V/iDTPl0PwK/O7Ea8p36tAdatW8eaNWtqfAiuTowtp0foDph7Nh573CIi0iLs3r2bs846i1deeYWVK1eyadMm3nrrLaZOncq4cePqXc/YsWP55ptvjthq7E9/+hOfffYZ3333XXhZjx49uPLKK7nmmmt499132bRpE4sWLeKhhx7iww8/rLOeM844g9NPP51LLrmEWbNmsWnTJj7++GNmzpwJQPfu3Zk1axbz589n7dq13HzzzRQUFNT7eKq99dZbvPjii6xbt4777ruPRYsWMXHixMNuU599Z2VlsXDhQjZv3syuXbuwLItf/epX7Nmzh/Hjx7N48WI2btzI//73PyZMmEAwGCQ+Pp7rr7+eO+64g88++4zVq1dz3XXX1TmG2Ny5cxkzZkyDjzcSlBgTERERac42fxma/6Ab5b8WbCG/qIL2SV6uHNKx3tXFx8eTkJBQo2vJgOoWY/QKLdi++JhCFhGRliM+Pp4hQ4bwxBNPcPrpp9OnTx+mTJnCjTfeeMg7SNalb9++DBw4kDfffPOw5Xr06MHPf/5zKioqaix/6aWXuOaaa7jtttvo2bMnF110EYsXL6Zjx0P/jXznnXc49dRTGT9+PL179+bOO+8Mt8K65557GDhwIGPHjmXUqFGkpaVx0UUX1ft4qj3wwAO8/vrr9OvXj3/+85/8+9//pnfv3ofdpj77vv3223E4HPTu3Zu2bduGbzwwb948gsEgY8aMoW/fvkyaNInk5ORw8uvRRx9l5MiR/PjHP2b06NGMGDGi1t1Ac3NzmT9/PhMmTGjw8UaCYdu2HekgjlVRURFJSUns37+fxMTESIfTpPx+Px999BHnn38+Lpcr0uFIC6XzUKKFzkWJFlF7LpbtgaldABtuWwcJqQAUVfg5Y+rn7C3zM/WSfvz01Mxj2k1xhZ9+D3yCbcNizy9oe+ql8KMnGuEApKGi9lyUFkfnYmRUVFSwadMmOnfufNiB6I+kzBeg973/A2DNg2OPyxhjjeHDDz/kjjvuYPXq1eFEjmVZFBUVkZiYGPV3R2wufve737F3717+9re/Nfm+DnfO1zdXdGKc3SIiIiLScNXji7XpEU6KAfz9y+/ZW+ana9s4Lh6Yccy7SfC66N4unnUFJeRY3ThHLcZERE5osW4nmx++INJhNNgFF1zA+vXryc3NJTPz2H70kaPXrl07Jk+eHOkw6k3pUhEREZHmavPc0PygbpS7Sir5+1ebALh9TE+cjsb5OFhjAP6Cb8BX/wGTRUREGsukSZOUFIuw2267jdTU1CMXjBJKjImIiIg0V9UD73c+kBh75vMNlPmC9OuQxLl96r7T1tHIzkwBIMfsDbYFO5Y3Wt0iIiIiTUVdKUVERESao/J9ULA69LjTcAC27y3j1a+3AnDn2F4YhtHgap9++mmKi4tJSEiocVes6hZjK4KdCZoGju2La90JU0RERCTaKDEmIiIi0hzlLgnNU7Igvh0A0z5djy9oMaxra0Z0b3NU1T788MPk5uaSkZFRIzHWIzWeGJeDEj9stNvTY/uSYz0CERE5Ss3gHnsi9dIY57q6UoqIiIg0R9WJqQ6DAVhfUMy7y7YDcMfYno2+O6fDpG+HJKBqnLHti0FfzEREjiuHwwGAz+eLcCQix0dZWRnAMd39Vi3GRERERJqjbYtC88xQYuyxT77DsmHsyakM6Jhy1NW++OKLVFRU1LolOsCAzGQWbdrDcrrz05IvYP82SO541PsSEZGGcTqdxMbGsnPnTlwuF6aptjCWZeHz+aioqNDr0YzYtk1ZWRmFhYUkJyeHk8JHQ4kxERERkebGsg5qMXYqOdv28b9vCjCN0J0oj8WYMWMOuW5Ax2QAcsyTQwu2L1FiTETkODIMg/T0dDZt2sSWLVsiHU5UsG2b8vJyYmJijmpsTYluycnJpKUd282ElBgTERERaW52rYPK/eCMgdQ+PPpSKEn2kwEd6J6a0GS7rb4z5Xe+dpR5PMRuXwx9Lm6y/YmISG1ut5vu3burO2UVv9/Pl19+yemnn35M3e0k+rhcrmNqKVZNiTERERGR5mb74tA8YyBffb+PeRt243aYTBrdvUl3m5bkJS3RS35RBavszgzZsbxJ9yciInUzTbPOLu8tkcPhIBAI4PV6lRiTOqmDrYiIiEhzsz00vpidcSqP/u9bAH42pCOZrWKPueq8vDy2b99OXl5eneuzM5OBqgH481aGunWKiIiIRCklxkRERESam22hFmP/swezYvt+Yt0OJp7VrVGqPvXUU8nMzOTUU0+tc3129Thjdg/wl8LuDY2yXxEREZGmoMSYiIiISHNSsR92fkvANnl0ZagbzQ0jOtMm3nNcdh9uMWZUDfKfl3Nc9isiIiJyNDTGmIiIiEhzsn0JYPOu9yds3F1BcqyLG07v0mjVX3DBBezZs4dWrVrVub5vRhKmAXmBBPIdKaTlrYB+P220/YuIiIg0JiXGRERERJqT7UuosF08WX4+AL8c1ZVEb+MNNvx///d/h10f53HSIzWBb/OLybG6ce6OnEbbt4iIiEhjU1dKERERkeZk+yJeDZ5Nri+WtEQv1wzNOu4hDKgaZ2y51RXyVmgAfhEREYlaSoyJiIiINBeWRcm2lTwTuAiA34zujtflOO5hhMcZs3uArxj2bjruMYiIiIjUhxJjIiIiIs3F7vX8o3Q4e0ikc+tYLhvUISJhZGemALDK7kLQNmDH8ojEISIiInIkSoyJiIiINBP21kW8GRgFwKRzeuB0NP5Hvcsuu4xRo0Zx2WWXHbJMt3bxxHuclNlu1tkdQt0pRURERKKQBt8XERERaSa2bVxNLqfjNCxGn5TaJPtYsGABubm5ZGRkHLKMwzTo1yGJ+Rt3k2N146S8nCaJRURERORYqcWYiIiISDMxb3MxAAPaGsR5Ivv754FxxrqFWozZdkTjEREREamLWoyJiIiINAcV+5m3rxUAQ3seujXXsdq4cWO9yoUTY1Y3qNgPezdDq85NFpeIiIjI0VCLMREREZFmwNq+hAVWbwCGn9Sxyfbj8XjC0+Fkd0wGYJ3dgRLbC+pOKSIiIlFIiTERERGRZmDd2lXsJokYM8CAjimRDod2CV4ykmOwMVhpddEA/CIiIhKVlBgTERERaQbmbdwDwKltArid0fER78A4Y11hR05EYxERERGpi8YYExERETnRWRbzd8UCMKxb2ybd1WuvvUZZWRmxsbH87Gc/O2zZ7MxkPlyVFxpnLP9foQH4DaNJ4xMRERFpCCXGRERERE5wgZ3rWRjoCsDw7JObdF933nknubm5ZGRkHDkxVjXO2HKrO3bpLoziPEhs36TxiYiIiDREdLSzFxEREZGjtnLlMkqIJcmsoHeHVpEOJ6xP+yQcpsFOktlBa8hbGemQRERERGo4qsTYM888Q1ZWFl6vlyFDhrBo0aJDln3hhRcYOXIkKSkppKSkMHr06Frlbdvm3nvvJT09nZiYGEaPHs369euPJjQRERGRFmf++gIAhrYuw2E2bVfFqVOn8sILLzB16tQjlo1xO+iVlgBQ1Z1SiTERERGJLg1OjL3xxhtMnjyZ++67j2XLltG/f3/Gjh1LYWFhneXnzJnD+PHj+fzzz1mwYAGZmZmMGTOG3NzccJmpU6fy17/+leeff56FCxcSFxfH2LFjqaioOPojExEREWkh5hW4ABjWJbnJ9/Wzn/2MG2644YjdKKuFB+C3uioxJiIiIlGnwYmxxx9/nBtvvJEJEybQu3dvnn/+eWJjY3nxxRfrLP/qq6/yy1/+kuzsbHr16sXf//53LMti9uzZQKi12LRp07jnnnsYN24c/fr145///Cc7duxgxowZx3RwIiIiIs1dRfFellaGxu0alt03wtHUNqBjClDVYkxdKUVERCTKNGjwfZ/Px9KlS7n77rvDy0zTZPTo0SxYsKBedZSVleH3+2nVKjT+xaZNm8jPz2f06NHhMklJSQwZMoQFCxZwxRVX1KqjsrKSysrK8POioiIA/H4/fr+/IYd0wqk+vuZ+nBLddB5KtNC5KNEikufioqWL8eEm1dxPx4z2UXc99EmPB2CV3Rn/3u1QvAu8SRGOqvnS+6JEC52LEi10LrZc9f03b1BibNeuXQSDQVJTU2ssT01N5dtvv61XHb/73e9o3759OBGWn58fruOHdVav+6GHHnqIBx54oNbyTz75hNjY2HrFcaKbNWtWpEMQ0XkoUUPnokSLSJyL89dsAHqR7dnBxx9/3OT7O/hDpsvlOmJ5y4YYh4PyoIfv7A7s+8/f2Z1wUlOGKOh9UaKHzkWJFjoXW56ysrJ6lWtQYuxYPfzww7z++uvMmTMHr9d71PXcfffdTJ48Ofy8qKgoPHZZYmJiY4Qatfx+P7NmzeKcc86p14dRkaag81Cihc5FiRaRPBdfzHkVgLN6tuX8889v8v117tyZ3NxcMjIy2LRpU722eXvnUuZt3E2O1Y3xneOwBjd9nC2V3hclWuhclGihc7Hlqu5deCQNSoy1adMGh8NBQUFBjeUFBQWkpaUddtvHHnuMhx9+mE8//ZR+/fqFl1dvV1BQQHp6eo06s7Oz66zL4/Hg8XhqLXe5XC3mRG9JxyrRS+ehRAudixItjve5uL/Mx6ry1gCMzD7puF8H9d3fwE4pocSY3Y2rCr/Boeu1yel9UaKFzkWJFjoXW576/ns3aPB9t9vNoEGDwgPnA+GB9IcOHXrI7aZOncof/vAHZs6cySmnnFJjXefOnUlLS6tRZ1FREQsXLjxsnSIiIiIt3aKV32Bh0tnIp3237OOyz6FDh3LGGWc06HNajTtTagB+ERERiSIN7ko5efJkrr32Wk455RQGDx7MtGnTKC0tZcKECQBcc801ZGRk8NBDDwHwyCOPcO+99/Laa6+RlZUVHjcsPj6e+Ph4DMNg0qRJ/PGPf6R79+507tyZKVOm0L59ey666KLGO1IRERGRZmbeN5sAD8MSd4LTfVz2+dZbbzV4m+rE2Aa7A/sLt5LkrwDX0Q+rISIiItJYGpwYu/zyy9m5cyf33nsv+fn5ZGdnM3PmzPDg+Vu3bsU0DzREe+655/D5fFx66aU16rnvvvu4//77AbjzzjspLS3lpptuYt++fYwYMYKZM2ce0zhkIiIiIs3d/Fw/4GFYZu0hJqJJ63gPmSkxbNtbzspgJ0buXAvtB0Q6LBEREZGjG3x/4sSJTJw4sc51c+bMqfF88+bNR6zPMAwefPBBHnzwwaMJR0RERKTFKSyuYF1ZPABDT+4W4WiOLLtjCtv2lpNjd2Nk3kolxkRERCQqNGiMMRERERGJDgu+ywWgt7GZVt1OjXA0R3ZgnLFukK9xxkRERCQ6HFWLMRERERGJrPmrNgAwPGYrJBz+7uCN6eabb2bPnj20atWK//u//6v3dgcPwG/veAmjieITERERaQglxkREREROQPO2lgFuhmUc3w4AH374Ibm5uWRkZDRou5PbJ+IyYbeVxPb8AjKtIJiOJopSREREpH7UlVJERETkBLN1dxnby904CTC4Z1akw6kXr8tB7/ZJACz3tYc930c4IhERERElxkREREROOPM27AQg29hIXOdTjuu+Fy9ezLZt21i8eHGDtz24OyV5Kxo5MhEREZGGU2JMRERE5AQzf+0WAIY5v4XUvsd13+np6XTo0IH09PQGb5vdMRnQAPwiIiISPZQYExERETmB2LbNgk37ARie6genO8IR1V92ZgoAq+0sfDu+iXA0IiIiIkqMiYiIiJxQvisoZleliZdKsrt1iHQ4DZLVOpZkj4EPN9/m7gbbjnRIIiIi0sIpMSYiIiJyApm3YTcAp5rf4el46nHf/yeffML777/PJ5980uBtDcOgf8dQq7GcsjZQnNfY4YmIiIg0iBJjIiIiIieQBevzARhuroYOxz8x9vOf/5xx48bx85///Ki2z+7YGqgaZyxP44yJiIhIZCkxJiIiInKCCAQtFn6/B4DhibsgseED4Eda9QD8y+1ukL8qssGIiIhIi+eMdAAiIiIiUj8rc/dT7IdESumd1T4iMdx1110UFxeTkJBwVNtnd0gGYJOdzr7t80luvNBEREREGkyJMREREZETxPwNuwAYan6Do+PgiMQwceLEY9o+Jc5NVqLB5iKbnO1FjGqcsERERESOirpSioiIiJwg5lcNvD/c/AYyI5MYawzZnarGGStOgPJ9kQ1GREREWjQlxkREREROABX+IEu2hMYXG+beAGn9IhzR0RvQORWoGoC/YHWEoxEREZGWTIkxERERkRPA0i178QVt2rGXrh3ag8MV6ZCOWnZmMgArrK7YO3RnShEREYkcJcZERERETgDzqsYXG26uxug4JGJx9OrVi8TERHr16nXUdZyUnojbtNhLAlu2bGjE6EREREQaRokxERERkRPA/I2h8cWGmd9AZuQSYyUlJRQXF1NSUnLUdbidJie3Dn0Mzdle3FihiYiIiDSYEmMiIiIiUa6ows/K7fsAGOb4BjqcGrFYevToQe/evenRo8cx1ZPdqQ0AOftjwV/RGKGJiIiINJgz0gGIiIiIyOEt/H4Plg1ZRj4ZbVpBXOuIxfLZZ581Sj3ZXTvAkl0sD3aBnWuh/YBGqVdERESkIdRiTERERCTKVY8vNsxcHdFulI1pQMcUANbanajcrgH4RUREJDKUGBMRERGJcguqxhcbbn4DmYMjHE3jyGwVQyuXHx8uvtm4OdLhiIiISAulxJiIiIhIFNtZXMl3BaEB6oeaa5pNizHDMMhuWzUAf25phKMRERGRlkpjjImIiIhEsfkbQ90oTzI20yrGhDbHNuj9sfp//+//sW/fPpKTk/nTn/50THVlZ7Xhsx17ydnnBSsIpqORohQRERGpH7UYExEREYli8zcc1I2yw2AwI/vxbfr06Tz77LNMnz79mOvK7tkVgJxgFuz5/pjrExEREWkoJcZEREREotj870MtxkLjizWPbpTV+ndsBcBWO5Xdm1ZEOBoRERFpidSVUkRERCRKbdtTxrY95TgJcqr5LWQ+GOmQ+Pjjj/H7/bhcrmOuKynGRdeYUjaWx7Fiw1bOOrURAhQRERFpACXGRERERKLUvA2h1mL9jQ3Em37IGBThiKBv376NWl92O5ONWyBnRylnNWrNIiIiIkemrpQiIiIiUWrexoPGF0vrA574CEfU+LKzUgFYvjcGbDvC0YiIiEhLo8SYiIiISBSybZsFVXekHOZY3ezGF6s2oHdPAFYEOmIV7YhwNCIiItLSKDEmIiIiEoXWFZSwq8SH1/AzwNgQNYmxpUuXsmDBApYuXdoo9fXs0AaP4aeIODatW9UodYqIiIjUlxJjIiIiIlGoenyxU41v8RgByBwc4YhCxo0bx7Bhwxg3blyj1OdymPSNKwIgZ/3WRqlTREREpL6UGBMRERGJQvOru1GaqyE+DZIyIxxR08lu5wBg+Y6yCEciIiIiLY3uSikiIiISZQJBi4Xf7wFguLkaOg0Dw4hwVCE33ngj+/fvJykpqdHqzO6cCt9XkrMvttHqFBEREakPJcZEREREosyq3P0UVwZINCs52dgMnX4V6ZDC7rvvvkavM/vkk2H2Mr4NpFJRtBtvYutG34eIiIhIXdSVUkRERCTKzN+4G4Ch5jc4DBs6DY9wRE0rIz2NNmYxAZys/kYD8IuIiMjxc1SJsWeeeYasrCy8Xi9Dhgxh0aJFhyz7zTffcMkll5CVlYVhGEybNq1Wmfvvvx/DMGpMvXr1OprQRERERE541QPvD2MlxKRA2+b9ucgwDLLj9wGQs2FbZIMRERGRFqXBibE33niDyZMnc99997Fs2TL69+/P2LFjKSwsrLN8WVkZXbp04eGHHyYtLe2Q9Z588snk5eWFp6+++qqhoYmIiIic8Cr8QZZs2QtUjS/WcSiYzb+R/4BUFwDL88ojHImIiIi0JA3+lPX4449z4403MmHCBHr37s3zzz9PbGwsL774Yp3lTz31VB599FGuuOIKPB7PIet1Op2kpaWFpzZt2jQ0NBEREZET3rIte/EFLNo5y+hq7AgNvB9FRowYQbdu3RgxYkSj1jugS+gH1Jz9cY1ar4iIiMjhNGjwfZ/Px9KlS7n77rvDy0zTZPTo0SxYsOCYAlm/fj3t27fH6/UydOhQHnroITp27Fhn2crKSiorK8PPi4qKAPD7/fj9/mOKI9pVH19zP06JbjoPJVroXJRo0Zjn4tx1oVb4w4xVGAYEMgZjR9E5vnnzZnJzc6moqGjUa69Xj54Y/1tLbjCZvJ17aJOc0Gh1tyR6X5RooXNRooXOxZarvv/mDUqM7dq1i2AwSGpqao3lqampfPvttw2pqoYhQ4bw8ssv07NnT/Ly8njggQcYOXIkq1evJiGh9oeihx56iAceeKDW8k8++YTY2JZxm+9Zs2ZFOgQRnYcSNXQuSrRojHPxo1UOwGCYnUPA9PDR8lzsnPxjD66ROJ1OEhMTcTqdfPTRR41XsW3TzShkvZ3B6++8Q5f0do1Xdwuk90WJFjoXJVroXGx5ysrK6lWuQYmxpnLeeeeFH/fr148hQ4bQqVMn3nzzTa6//vpa5e+++24mT54cfl5UVERmZiZjxowhMTHxuMQcKX6/n1mzZnHOOefgcrkiHY60UDoPJVroXJRo0VjnYnGFn99+/TkAwx2rMbOGcd4FP26sMBvF+eef32R1f7X2Sdbvz8DnSWzS/TRnel+UaKFzUaKFzsWWq7p34ZE0KDHWpk0bHA4HBQUFNZYXFBQcdmD9hkpOTqZHjx5s2LChzvUej6fO8cpcLleLOdFb0rFK9NJ5KNFC56JEi2M9F5et34NlQ5anmAxjN2QNx2xB5/aAdC9v7YeV+ZW6po+R3hclWuhclGihc7Hlqe+/d4MG33e73QwaNIjZs2eHl1mWxezZsxk6dGjDIjyMkpISNm7cSHp6eqPVKSIiIhLt5m3cBcAwVoYWdBoewWiOv+xumQCsKIonaNkRjkZERERaggbflXLy5Mm88MILTJ8+nbVr13LLLbdQWlrKhAkTALjmmmtqDM7v8/nIyckhJycHn89Hbm4uOTk5NVqD3X777XzxxRds3ryZ+fPn85Of/ASHw8H48eMb4RBFRERETgzzN+wGYJi1BBweaD8wwhEdXz1OHkgMFZTYHjbu2BXpcERERKQFaPAYY5dffjk7d+7k3nvvJT8/n+zsbGbOnBkekH/r1q2Y5oF8244dOxgwYED4+WOPPcZjjz3GGWecwZw5cwDYvn0748ePZ/fu3bRt25YRI0bw9ddf07Zt22M8PBEREZETw87iSr4rKAZgqLkGOpwCLm+Eo6rt8ccfp6ioiMTExBpjvjYGZ3IH+jnfZWGgG0tWr6FHhzMatX4RERGRHzqqwfcnTpzIxIkT61xXneyqlpWVhW0fvin866+/fjRhiIiIiDQbC74PtRY7KWYfre1i6Hx6hCOq2+OPP05ubi4ZGRmNnhjDMBjauoSFBTB3XSE/O7dxqxcRERH5oQZ3pRQRERGRxjd/Q6jr4HB7WWhB55bZWur0zqE7jH9V4CIQtCIcjYiIiDR3R9ViTEREREQaV3jg/eAS8MZCxqAIR1S3V155hcrKyjrvEN4Y+p/Ui6Sv97A/GM+K7fsY1KlVk+xHREREBJQYExEREYm4bXvK2LanHKdhM9j8FjoOB6c70mHVadSoUU1av6PDQEaY0/jQOo0vvtmuxJiIiIg0KXWlFBEREYmw+VWtxfrH7CTeqIja8cWOi7jWnB6fC8CX3+ZGOBgRERFp7pQYExEREYmweRtCA+8PDy4OLWjJiTHg9E6hu3GuLAyyr8wX4WhERESkOVNiTERERCSCbNtm/sZQYmyotQy8SZDeP8JRHdqmTZvYsGEDmzZtarJ9pHc+ie7GdiwMvqq6KYGIiIhIU1BiTERERCSC1hWUsKukEq9pMdBcD1kjwXREOqxDGjlyJN27d2fkyJFNt5P2AzndXAnAl+t2Nt1+REREpMVTYkxEREQkgqrHFzs1ZgceI9Diu1ECkN6f0x2rAPjyuwJs245wQCIiItJc6a6UIiIiIhFUPb7YMP/XoZ8sozwx9pOf/IS9e/eSkpLSdDvxxDOknY1nu4/8YlhfWEKP1ISm25+IiIi0WEqMiYiIiERIIGix8PuqxBg5ENcW2vaKbFBH8NRTTx2X/Xgz+zFkx1q+tPrz5bqdSoyJiIhIk1BXShEREZEIWZW7n+LKAInOAH2MTdD5DDCMSIcVHToMDo8z9oXGGRMREZEmosSYiIiISIRU343yNPf3OAwbuo2OcERRJHMIZ1QlxhZt2kOFPxjhgERERKQ5UmJMREREJEKqB94f7psfWtD1rAhGE2Xa9KBbTAnp7KYyYLFw055IRyQiIiLNkBJjIiIiIhFQ4Q+yZPNeAIaZ30BqX0hIjXBUR3bhhRcydOhQLrzwwqbdkWliZJ7K6Y5Qq7Ev1Z1SREREmoASYyIiIiIRsGzLXioDFu1cFXQzcqHbidFabNmyZXz99dcsW7as6XeWOSQ8zpgSYyIiItIUlBgTERERiYDq8cWGGatD4+1rfLHaOpzKCHM1JhbrC0vYsa880hGJiIhIM6PEmIiIiEgEzKsaX2yYtRRccZB5WoQjqp/t27dj2zbbt29v+p1lDCLJLKe/sRGAuevVakxEREQalxJjIiIiIsdZcYWfldv3AzDM8Q10HglOd4SjikLeRGjX+6DulLsiHJCIiIg0N0qMiYiIiBxnC7/fQ9Cy6eTaTwdjF3Q9O9IhRa/MweEB+Oeu30kgaEU4IBEREWlOlBgTEREROc7C44vZS0MLuikxdkgdBtPf2EiiWUFRRYAVVS3tRERERBqDM9IBiIiIiLQ086vGFxturIKULGjdNbIBNcDLL79MaWkpcXFxXHfddU2/w8zBOA2LEcYqPuJUvly3k0GdUpp+vyIiItIiqMWYiIiIyHG0q6SSb/OLARhqroFu50Q4ooa55557mDhxIvfcc8/x2WGrLhDbhtON5QB8qQH4RUREpBEpMSYiIiJyHFV3o+zlyKW1UQw9z4twRFHOMGqMM7Zi2z72l/kjHJSIiIg0F+pKKSIiInIcLajuRskKcCdA1ogIR9Qwf/3rXykrKyM2Nvb47bTjUNp/9xHdPPvYUJnMVxt2cUG/9OO3fxEREWm2lBgTEREROU58AYtP1xYCMNxcDd3OAqcnwlE1zMUXX3z8d5o1HIDTWcoGzubLdTuVGBMREZFGoa6UIiIiIsfJJ2vy2VlcSVtHCSPMVdDz/EiHdGJI6w/uBE63FgOhccZs245wUCIiItIcKDEmIiIicpz8a8EWAMbzCW7Thu5jIhzRCcLhhI5DGGJ+i9u0ydtfwYbCkkhHJSIiIs2AEmMiIiIix8H6gmIWbtqDw7AZ7/wMMk+D2FaRDqvBiouLKSoqori4+PjuOGsEMYaPIXH5AHyxTnenFBERkWOnxJiIiIjIcfDK16HWYqPjt5Bu7Dlh70Z50kknkZSUxEknnXR8d9wpdJOCMwLzAfhy/a7ju38RERFplpQYExEREWlipZUB3lmWC8DVvjdCC0/QxFjEtM8GVxynB78GYOH3u6nwByMbk4iIiJzwdFdKERERkSY2IyeXksoAXRJthlWuhNbdoE33SId1VM444wx27dpFmzZtju+OHS7IHEz3jZ+T5g2SXwGLNu3h9B5tj28cIiIi0qwoMSYiIiLShGzbDg+6f2XiCsxd9gl9N8pXX301cjvPGoHx/eecHreFNyu68OW6nUqMiYiIyDFRV0oRERGRJrR0y16+zS/G6zK5dN9LoYUnXxTRmE5YWaFxxk6v+AKAL9drAH4RERE5NkqMiYiIiDShf1UNuj+uU4CkwE5I6gjtB0Y4qhNU+4HgjGFEYD6mAesKSsjbXx7pqEREROQEpsSYiIiISBPZVVLJR6vyALjaNSe0sPeFYBiRC+pE5nRD5qkkG6X0S/EBMHed7k4pIiIiR0+JMREREZEm8sbibfiDNtkdEumT+3po4ck/iWxQx2jChAlceOGFTJgwITIBZJ0OwOnu7wD4Qt0pRURE5BgcVWLsmWeeISsrC6/Xy5AhQ1i0aNEhy37zzTdccsklZGVlYRgG06ZNO+Y6RURERKJd0LJ5beFWAK7O2g++EkjsABmDIhzZsZk1axb//e9/mTVrVmQC6HoWAGcUzwTgq/W7CFp2ZGIRERGRE16DE2NvvPEGkydP5r777mPZsmX079+fsWPHUlhYWGf5srIyunTpwsMPP0xaWlqj1CkiIiIS7T7/tpDcfeUkx7q4oPz90MLe49SN8li1zwZvMv0DK0hwG+wv97Ni+75IRyUiIiInqAYnxh5//HFuvPFGJkyYQO/evXn++eeJjY3lxRdfrLP8qaeeyqOPPsoVV1yBx+NplDpFREREol31oPs/HZCOd/1HoYXN4G6UK1asoLCwkBUrVkQmANMBXUbhNCxGpOwD4Mt16k4pIiIiR6dBiTGfz8fSpUsZPXr0gQpMk9GjR7NgwYKjCqAp6hQRERGJpC27S/miKllzZepW8BVDYgZknBLhyI5d69atadu2La1bt45cEFXdKU+3FwNKN1mYSQAARIdJREFUjImIiMjRczak8K5duwgGg6SmptZYnpqayrfffntUARxNnZWVlVRWVoafFxUVAeD3+/H7/UcVx4mi+via+3FKdNN5KNFC56JEix+ei/+cvwmA07u3JnPTswAEe/0IKxiEYDAyQTYnnUbiAkbu/wAYTc62fewqKiMpxhXpyCJO74sSLXQuSrTQudhy1fffvEGJsWjx0EMP8cADD9Ra/sknnxAbGxuBiI6/iA14K3IQnYcSLXQuSrSYNWsWviD8e5kDMOjNNuxvQ90o5+5vz/6PPopsgM3IWZ50OlTmkeEuI9cXyzNvf0p2aw3CX03vixItdC5KtNC52PKUlZXVq1yDEmNt2rTB4XBQUFBQY3lBQcEhB9ZvijrvvvtuJk+eHH5eVFREZmYmY8aMITEx8ajiOFH4/X5mzZrFOeecg8ulX0UlMnQeSrTQuSjR4uBz8b+rCylb9A3tk7z8tm8hjm1+7DY9GH7JL5vFwPsffvgh5eXlxMTEcMEFF0QsDtMxF5a8wDmtdvJyfidKEzpy/vknRyyeaKH3RYkWOhclWuhcbLmqexceSYMSY263m0GDBjF79mwuuugiACzLYvbs2UycOLHBQR5tnR6Pp86B/F0uV4s50VvSsUr00nko0ULnokQLl8vFa4tzAbjytE54vnkcAKP/eFxudyRDazQTJ04kNzeXjIyM8Ge3iOhxDix5gTMqZ/MyP+erDbtxOp0YzSD52Bj0vijRQueiRAudiy1Pff+9G9yVcvLkyVx77bWccsopDB48mGnTplFaWsqECRMA/n979x1fRZX/f/w19+amVwgQEoKUIKCU0KSsAgoKyqrILiiiWFh1VVysq+xX7Iq6uqsr/mSxgLjg2lkXXRTpaqQGEWnSBEJCCSU9uWV+f9ySBAIkkDAp7+fjMY9775kzcz+TnNzMfOaccxk7dixJSUlMnjwZ8E6uv2HDhsDzjIwM1q5dS2RkJCkpKZXap4iIiEhdsD4jhx93H8FhN7j2XBss+RYwoMsoq0Orf875Ddgc9ClYSrB9HHuPFrHtQB4pTaOsjkxERETqkConxq699loOHDjAY489RlZWFqmpqcybNy8wef6uXbuw2Uq/7HLv3r1069Yt8Pqll17ipZdeYsCAASxevLhS+xQRERGpC2av3A3AFZ2bE7/tE29hqwshpoWFUVWvxx57jLy8PCIjI60NJCQSWvYhbOcyLmhcxLf7Q1iy5aASYyIiIlIlpzX5/vjx4084zNGf7PJr1aoVpnnqiVBPtk8RERGR2q7ABf9dlwnAjb1bwtwPvCu6XmdhVNXv9ttvtzqEUm0vgZ3L6G9bx7f0YumWA4y7sLXVUYmIiEgdYjt1FRERERE5lRUHDIqcHjokRNHDsQOyf4GgUOh4ldWh1V/tLwdgwNH/ALB8RzZFTreVEYmIiEgdo8SYiIiIyBnyeEy+zfKeVt3Y9xyMH9/3rugwDELr9zdmW6pJB4hrxbme7SSEmxQ5PazcecjqqERERKQOUWJMRERE5Ayl7TjEgSKDiBA7w8+LhXUfeld0u9HSuOo9w4D2wzAMuCjCO7/b0i0HLA5KRERE6hIlxkRERETO0Kzl3qTMiNREIn75HIpzIK4VtB5gbWA1oE2bNoSEhNCmTRurQ/HyDafsX/ANAEu3HLQyGhEREaljlBgTEREROQOZRwtZsGk/AKMvSIbVM7wretwMtvp3qlVSUhJYaoWWfSE0lgtdP2AAm/flknW0yOqoREREpI6of2drIiIiImfR+8t34TEhJdpDO3MnZKwCmwNSb7A6tBrRqVMnunXrRqdOnawOxcseBOcOIc7Io0t0LgBLf9FwShEREakcJcZERERETlOJy8P7K73DKC9MMLGlz/Su6DAMIptYGFnNmTdvHmvWrGHevHlWh1Kq/RUADPCsAjTPmIiIiFSeEmMiIiIip+nrDVkcyC2mSWQw3aKLsK3/yLui5y3WBtbQpAwCezD9S5YAsOyXg7g9psVBiYiISF2gxJiIiIjIaXov7VcAru3ZgpY5P2AU50KjNtCqv8WRNTAhUdDqIlKNrUQFuTla6GTdniNWRyUiIiJ1gBJjIiIiIqdhy75clu84hN1mMKpHEm32f+1dUU8n3a/1OgwjyPDwm+BtgL6dUkRERCpHZ20iIiIip+FfP3h7iw3u2JTEIyuJKdqN6QiH7mMtjqxmPfTQQ/zhD3/goYcesjqU8jpeBYad/iVLAU3ALyIiIpWjxJiIiIhIFeUVu/h0TQYAN/ZphW35GwB4uoyGsDgrQ6tx77//Pm+//Tbvv/++1aGUF9kE2gygv30dAGt3H+FoodPioERERKS2U2JMREREpIrmpGeQV+yiTXwE/WIPYds6HxMDzwW3Wx1aw9bp97QwDtImyDv5/vdbNZxSRERETk6JMREREZEqME0zMIxyTJ9zAr3FsmJSoVFbCyM7OxYsWMD69etZsGCB1aEcr8Mw77dTmqsADacUERGRU1NiTERERKQKVv96mE1ZuYQ6bPy+YwSs9Q4p3NZkqMWRnR3t27fn/PPPp3379laHcrywWEi5lAE273DKpVsOYpqmtTGJiIhIrabEmIiIiEgVvOfrLXZ11yRifn4XXIWYzTqTHdnB4sgEgM6/o7dtI8G4yDhSyLYD+VZHJCIiIrWYEmMiIiIilXQwr5gvf8oE4MaeTeEH7zBKd+87wTCsDE38zh1KeLCdXrZNACzdouGUIiIicmJKjImIiIhU0gcrd+N0m6Qmx9Jp70dQkA1xrTDPH2F1aGdNWloaixcvJi0tzepQKhYcAe0vp79/OKXmGRMREZGTUGJMREREpBLcHpPZy3cBcGOv5vDdP7wrLnoAbEEWRnZ2jRw5kosvvpiRI0daHcqJdR5Ff9uPAPywPZsip9vigERERKS2UmJMREREpBIWbdpPxpFCYsMdDHN+Dfn7IaYldLnO6tDkWCmD6RDlpCmHKXJ6WLXzsNURiYiISC3VcG5vioiIiJwB/6T713ZPJPSHCd7CC++FoGBwOq0L7Cy7++67ycnJITo62upQTswehNF9DP0XruNj9wCW/nKAC9vFWx2ViIiI1EJKjImIiIicwq/Z+SzZcgDDgOsjVkHuXohKhG43WB3aWTdx4kSrQ6icbjfQf/Fd3sTYxr385YqOVkckIiIitZCGUoqIiIicwizf3GIDUhpxzprnvYUX3gtBIdYFJSfXqA0XtYrAwMOmA0XsyymyOiIRERGphZQYExERETmJIqebD1ftBuDGmB8hNxNiW0KPm60NTE4prtd1dDF2ALB08z6LoxEREZHaSIkxERERkZOYuy6TIwVOkmKCGbjlOW/hJZPUW6wu6Hgl/YM3A7A0fYPFwYiIiEhtpMSYiIiIyEn4J90f02gL9pKjkNAFOv3e4qis07NnT1q0aEHPnj2tDuXUHKH079AcgG9/LcTtMS0OSERERGobJcZERERETmDdniP8uPsIwXaDUVkveQsvfRJsDfcUKisri4yMDLKysqwOpVJSB44gigIOu0P4aeMmq8MRERGRWqbhntWJiIiInMK/fL3Froj5lXjzELS5GNpeYnFU1kpISCApKYmEhASrQ6kUR/Pz6BflnV9s6bJFFkcjIiIitY0SYyIiIiIVOFrg5PMf9wJwQ947YNjg0qcsjsp6q1atYs+ePaxatcrqUCqtf5cUAJbudkJRjsXRiIiISG2ixJiIiIhIBT5es4cip4cOjix6GFug563QvIvVYclp6N/vQgDS3a3JWfEvi6MRERGR2kSJMREREZFjeDxmYBjljeZcjIjGcMmjFkclpyu5cSRtIl24sfP990vB7bI6JBEREakllBgTEREROcb327LZcTCfSAoZbv/OO4QyLM7qsOQM9O/UCoAluYmwaa61wYiIiEitocSYiIiIyDHe+2EnAL+zLyUiuQt0vd7agGqRyZMnM3HiRCZPnmx1KFXSv4P3ywKWurtgfvcPME2LIxIREZHaIMjqAERERERqk8yjhczfkAUY3BC0EIbNApvuJfq9/vrrZGRkkJSUxMSJE60Op9L6tGlMsN0gw92E7Xv20nbrN9DuUqvDEhEREYvpLE9ERESkjNnLNuMxDfrYfqZd/1HQvKvVIUk1CA8OomerRgAs9XSBRc+p15iIiIiox5iIiIiIX/quw0z7bhdg58a4jTBgqtUh1TofffQRxcXFhISEWB1KlfU/twnfb8tmqdmNW/Y+D798DecOsTosERERsZASYyIiIiLA7kMF3PbOdxSbdi62rWXodeMhqO4lf2pa3759rQ7htPVv14Tn/7eJH8zzKTaDCFk8GdpdBoZhdWgiIiJikdMaSvn666/TqlUrQkND6d27NytWrDhp/Y8++ogOHToQGhpK586d+fLLL8utv/nmmzEMo9wydOjQ0wlNREREpMqOFjq59Z00DhYZnGfsZMoAE3tyD6vDkmrWsXkUTaJCKPTY+d7WA/amw5Z5VoclIiIiFqpyYuyDDz7g/vvv5/HHH2fNmjV07dqVIUOGsH///grrf//994wePZpx48aRnp7O8OHDGT58OOvXry9Xb+jQoWRmZgaW999///SOSERERKQKnG4Pd/1rNb8cLCKBbN5JmkvEoIesDktqgGEYXHpeMwAe8dzJXrMRLHwWPG6LIxMRERGrVDkx9re//Y3bbruNW265hfPOO4+pU6cSHh7OO++8U2H9V199laFDh/LQQw/RsWNHnn76abp3786UKVPK1QsJCSEhISGwxMXFnd4RiYiIiFSSaZo8+tl6vtuWTThFvB3xOgmjp2gI5Uls3ryZn3/+mc2bN1sdyml5eGgHzm0Wyb7iYG52/oWjWdsg/V9WhyUiIiIWqdIcYyUlJaxevbrcV3PbbDYGDx5MWlpahdukpaVx//33lysbMmQIc+bMKVe2ePFimjZtSlxcHJdccgnPPPMMjRs3rnCfxcXFFBcXB17n5OQA4HQ6cTqdVTmkOsd/fPX9OKV2UzuU2kJtUc7U1CXb+WDVbmx4mOL4B+2H/QlndEuoYptqSG1x0KBBZGRkkJSUxI4dO6wOp8rCg+DNG7oxatoKtuQm8kfnfUxf8Bz29ldCSJTV4Z2xhtQWpXZTW5TaQm2x4ars77xKibGDBw/idrtp1qxZufJmzZqxadOmCrfJysqqsH5WVlbg9dChQxkxYgStW7dm27Zt/OUvf+Hyyy8nLS0Nu91+3D4nT57Mk08+eVz5119/TXh4eFUOqc6aP3++1SGIqB1KraG2KKdjzUGDd3/xnmc8EfQuKU2i+GJ3JOz+8hRbnlhDaItFRUWBx2Pnja1LxraGf6y3k+Y5n0eOjOCud+9mY4vrrA6r2jSEtih1g9qi1BZqiw1PQUFBperVim+lvO660pOQzp0706VLF9q2bcvixYsZNGjQcfUnTpxYrhdaTk4OycnJXHbZZURHR5+VmK3idDqZP38+l156KQ6Hw+pwpIFSO5TaQm1RTteaXUd4/52VgMmt9i+5sfluXDd/RfPgiNPaX0NqizfddBOHDx8mLi6OK664wupwzkjHbge5feYa5nguJDHzMPf9vgM0amN1WGekIbVFqd3UFqW2UFtsuPyjC0+lSomx+Ph47HY7+/btK1e+b98+EhISKtwmISGhSvUB2rRpQ3x8PFu3bq0wMRYSEkJIyPFzfzgcjgbT0BvSsUrtpXYotYXaolTFr9n53Dl7LSVuk8G2Vfxf1JcYoxfiiIg94303hLb48ssvWx1CtbmkY3Mm/64LD328jv/nupLED2dxwz1PWR1WtWgIbVHqBrVFqS3UFhueyv6+qzT5fnBwMD169GDBggWBMo/Hw4IFC+jbt2+F2/Tt27dcffB2YTxRfYA9e/aQnZ1N8+bNqxKeiIiIyEkdKSjhlhkrOZRfQidjB/8Inop91HRo1Nrq0MQiI3smc29f75c+PZbRi2/m/cfiiERERORsqvK3Ut5///28+eabvPvuu2zcuJE777yT/Px8brnlFgDGjh1bbnL+CRMmMG/ePF5++WU2bdrEE088wapVqxg/fjwAeXl5PPTQQ/zwww/s3LmTBQsWcPXVV5OSksKQIUOq6TBFRESkoStxebjjvdVsP5BPIgd5J/ivhA99HNoMtDo0sdiEq/oyKikbDzbuWezmx192WR2SiIiInCVVToxde+21vPTSSzz22GOkpqaydu1a5s2bF5hgf9euXWRmZgbq9+vXj9mzZzNt2jS6du3Kxx9/zJw5c+jUqRMAdruddevWcdVVV3Huuecybtw4evTowbJlyyocLikiIiJSVaZp8sin61i+4xCRFPJO8F9pesHvofcdVocmtYBhGDx7+0j6h26lkBDGvbuSXdmVm7BXRERE6rbTmnx//PjxgR5fx1q8ePFxZSNHjmTkyJEV1g8LC+Orr746nTBEREREKuW1hVv5dE0Gdty87niVDp26w+UvgmFYHVqdM3ToUPbv30/Tpk2ZN2+e1eFUG0dIGP9vbF9GvbmSDa5W3PzPRXwy4VLiIoKtDk1ERERqUJV7jImIiIjUJXPSM/jb/C0APB00nQFtouGaaWCzWxxZ3bR+/XrS09NZv3691aFUu8g2FzC97wGSOMD2HPjD9DSKnG6rwxIREZEapMSYiIiI1Fsrdhzizx+vBeAO+3+5vsUBGD0bHKHWBlaHBQcHB5b6qNnQPzOj6QdEk8/qPXnc9+903B7T6rBERESkhigxJiIiIvXSjoP53P7uckrccLltOQ8nrYexn0NojNWh1Wnbt2+nuLiY7du3Wx1KzQgOp931f2Va2GsE4+R/P+/j2S82Wh2ViIiI1BAlxkRERKTeOZxfwi1vfsuRIg9dja38LWkptps/h/BGVocmdUFCJ/oMu5WXHFMBeOe7Hbz97Q6LgxIREZGaoMSYiIiI1CvFLje3v7mQnUddJHGAt1p8QdjNnygpJlXT42au6tKcR4JmA/DM3A3876fMU2wkIiIidY0SYyIiIlJvmKbJn9/+kpVZbqLIZ0arb2gy7iOIaGx1aFLXGAZc+Sp3NNnIjfavMYEJH6xl1c5DVkcmIiIi1UiJMREREakfTJO/vzOT/+ywEYSLN9oup924tzSnWDWbNm0af/vb35g2bZrVodS80GiMMR/yROR/GGxbRYnLwx/eXcW2A3lWRyYiIiLVRIkxERERqfuchXwy7Sn+8Us8AM+2+4ULx72ob5+sAU899RQPPPAATz31lNWhnB3xKdivm8lrIVPpamzlSKGTm6ev4EBusdWRiYiISDVQYkxERETqtsO/kvb/7uCRHakA3NU+j2vHPQg2u7VxSf3Ruj9hV77I28Ev0dLYx+5DhYx7dyUFJS6rIxMREZEzFGR1ACIiIiKnbdMXbP3kCe7IfQgnQfy2bRAP3jTK6qjqtalTp1JYWEhYWJjVoZxd3W8k/uhu3l30AiNKnmTdHhg/O51pN/YgyK57zSIiInWVEmMiIiJS9ziLYMGTZKe9x60lT5FDBD2Swnnp5v7YbIbV0dVrv/3tb60OwToDJ9LaWcBb377E9SX/x8JN+3ns8595dngnDEPtTkREpC7S7S0RERGpW/amw7QBFKW9yW0lD7DLbEbLuDCm3dKPUIeGT0oNMgy49Gl69B7Aq44pGHiYvXwX/2/xNqsjExERkdOkxJiIiIjUDa5iWDQZ3hqMZ/9mHjQnsMY8l5gwB9NvvYDGkSFWRygNgWHA5X9l6AWdeCzoPQD++tVm5qzZY3FgIiIicjqUGBMREZHab9sieKMfLHkePC5ejv0/5pZ0x2E3mHpDD9o2ibQ6wgYjOzubAwcOkJ2dbXUo1rHZ4LevcMvA8/mD/QsAHvoone9/2W9xYCIiIlJVSoyJiIhI7ZWzFz66Gd4bDtlbKQ5vzhsd3uX1fecB8PyILvRt29jSEBuarl270rRpU7p27Wp1KNYyDBj8OH8Zdj7DbD/gNG3cMf07Nv+aYXVkIiIiUgVKjImIiEjtU1IA3/4dpvSCnz+jiBBmtHiKga7XeGGtA4A/DWrH73q0sDhQaehs/e7m5VFd6WXbQq4nmJunLSFr+warwxIREZFK0rdSioiISO3hdsKambDkRcjLIs8M5V+Rd/JWwQAObvUAJSREh3LXxW25sc85VkfbIF166aVkZ2fTuLF66vmFpv6eN6NXM+LtdWx3N+Xmt5by3OANdLv4d/q2ShERkVpOiTERERGxnscN6z+FRc/C4R0cNSOY4biFd0oGczTbADy0iAvjroEp/K5HEiFB+vZJq0yfPt3qEGql2DY9ePePzbhmahqb3MmM+BrOWfIhw/t0ZHivtrSOj7A6RBEREamAEmMiIiJiHWch/Pg+fP8aHNpOthnF27ZbmOkaRF6xd8aHNk0iuHtgClelJuKwaxYIqb2Sk1vwwT2XMeXD/zJvbxi/Fkfy6pLdvLpkN91axnJNtySGdW6ub1AVERGpRZQYExERkbOv4BCsehuW/xPyD7DPjGUa45jtuphCtzf51SEhivGXpHB5p+bYbRqOJnVD24QY/v6nG3hm2w98/eHrfJbbkW89nUnfdYT0XUd46r8bGHBuE4Z3S2Jwx2aEBav3o4iIiJWUGBMREZGzwzRhzypY9Q78/Cm4ithjxjPVdg8flvShxONNfnVpEcM9l7RjUIem2JQQkzoqom0frrnvPK5Z+Az7l4/nv+4+zDEH8pO7JQs27WfBpv1EhgQxtFMC13RLok+bxkoAi4iIWECJMREREalZhUdg/cewagbs+wmAHZ4E/p/jJj4r6ILL9CYDerWK455L2nFRu3hNWF6LjRkzhoMHDxIfH8+sWbOsDqd2C42GK16kaZdRjPv8T4zb/whb7YnMCbmKz8z+ZOS5+Hj1Hj5evYdm0SFcnZrE8NQkzkuMtjpyERGRBkOJMREREal+ziL45WtY94H30V0CwGajLa+H/5G5h5LweIu4qF084y9OoXcbfcthXbBkyRIyMjJISkqyOpS6o0VPuGMJrJ5ByqLneLBwKveb/2R1i+F8FjmaL3412JdTzLSl25m2dDsdEqIY3i2Jq1MTaR4TZnX0IiIi9ZoSYyIiIlI9nEWwfTFs+i9s+C8UHw2s+inmYqbYxvBVZjgUessGd2zK3Ren0K1lnDXxipxNdgdccBt0HgnLXsK2fBq9Dn5Gr4Of8XjSb1iUfBdzDiSwcNMBNmXl8vz/NvHCvE30ad2Ya7olMbRzAtGhDquPQkREpN5RYkxEREROX8Eh2LrAmwz75Rtw5peui05idfJNvJbdk8U7iwAwDLi8UwJ3X5zC+YkxFgUtZ2Ljxo2YpqnhrqcrLBYuewb63A3fvQqr3iEk4zuGZnzH0NhzOHrZnXwZdAmfrT/Eih2HSNueTdr2bB79z3ou7diM4d2SGHBuE4KD9A2tIiIi1UGJMREREak8VwnsWQnbFsL2RZCxBjBL10clYrYfRlrsMF7bEEra6kNAETYDrk5N4q6BbWnXLMqq6KUaREXp91ctopvD5c/DbybAin/C6hlw5FdiFj3C6OBIRne5lj0XjuI/+xvzWfpetu7P44ufMvnip0yiQ4PomhzLec2j6dg8mvMSo2kTH0GQXckyERGRqlJiTERERE7M7YTMdbD7B9ixDHYug5K8clVK4s9nQ+II0kMvIP1oJGt+PsKewwVAAQ67we+6t+DOgW05p3GENccgUptFN4fBT0D/P8NPH8IPU+HARlj1Ni1Wvc3djdpyV/fR/JxwJXO2evjPj3s5kFvMsl8OsuyXg4HdBAfZ6JAQRftmkXiyDZr+ephOLeKI0vBLERGRk1JiTEREREoVHoGMVbBrOexKg4zV4CwIrDZNyAhNIb3xMNKDurI2vzHrswop2eMBcn2L9yJ9dK9kbh/QlqRYTR4uckrB4dDjZuh+E+xYCmtnw8bP4dA2jMXP0Iln6JTUg4kXDWN93GA2FsaxITOHDXtz2JiZQ36Jm3V7jrJuz1HAzidvrQSgZaNwzvP1KjuveTQdE6NJjAnVUFgREREfJcZEREQaqvxsyFwLmT/6lrVweGe5KgVmCOscvUiP7E+62Z703GgOHPVAYF5975xijSKCSU2OpVtyLN1axtE1OUY9VeqpTz/9lIKCAsLDwxkxYoTV4dQ/hgFtBniX4pdh43/hx/e9ybKM1dgzVtOVp+jaOAXOHQqXXoKnxUXszocNe3P4ac8RlqzbSrY7jKycYnYdKmDXoQLm/ZwVeIuYMEe5YZjnNY8mpWmk5i0TEZEGSYkxERGR+s5ZCNlb4cBmOLAJ9m/0JsKO7i5XzWMa7DCbkx7Wh/SQXqSXJLH5qAN3MRAYPekhyGZwXmJ0IAnWrWUsLRuFqwdKA/GnP/2JjIwMkpKSlBiraSGRkDrau+Rmweb/waYvYMcS79902hRIm4LNHsw5yb05p81ALj33AjoWFTH0t0PJKzHZmJkT6Fm2ITOHrfvzOFroDEzq7+ewG6Q0jeK85tF0SIgiISaUplEhNIkKoWl0KJEhumwQEZH6Sf/hRERE6pO8A7D1G28CzJ8IO/IrmJ7jqh4xI1gbcaE3CeY6h7VHI8gpAUrK12seE0q3lrF0S/YmwTolxRDqsJ+d4xERr6gE6HmLdynOhV/mw7YFsG0x5Ozxzv+3cxlBwDDssP914lr2pl+LXvTrfAFc2BUMg2KXm1/25bEh0zsE058wyy1ysdFXVpHwYDtNo0JoGhVKk+gQmkSG0DTa+7ppVOnzuHCHkuQiIlKnKDEmIiJSnxzaDnP+CEC+GUKW2YgssyNZjhZkhbdjX1ALsohna1Ek2494oLj85iFBNrq0iPH2BEuOJbVlLM1jNEeYlHrmmWfIz88nIkJfpmCZkCjoNMK7mKb3737bQtixBHPXcmz5+yEz3bssn+rdJrwxNOtESEJnOjXrRKcWnSC1PQQFY5omew4XBnqX/bI/jwM5xezPLeJAbjH5JW4KStzszC5gZ3bBSUNz2A3iI0N8vc1CfQkzX0ItKiTQCy0qNIiI4CBsNiXRRETEWkqMiYiI1DEej8nB/GL2HS0mK6eIrJwi9h31PmYddpLlmcI+dzS57jL/5p1AuetZbw+y1vERviGR3mGR7ROicNg1z5Cc2M0332x1CFKWYUDjtt7lgttwlZSwaM5MLjk3kqC9a2DPCsj6CQqyvUMwdywp3dbmgMZtMRqnkNy4LcmNU7isXQr0SYGIJt59A/nFLvbnFrM/p8j7mFvMgdzSxNl+XxLtcIETp9sk82gRmUeLKDMZ4QlFhgR5l1DvY5Tv0fvcQWRoEFFl1h/7OirEQUSInSB9bomIyGlSYkxERKQWcLk95Be7yS9xkV/s4lB+iTfhlVNE1tFisnIKyTpaxD7fBajTbZ5kb40CzyJDgmgWHULzmDCaRYeSEBNCQnQoLRqF07VFLI0igmv+4ETk7DEMCkOaYJ5/BaRe5y1zFnrnFty3HrLWlz4WH/UNu950/H5CoqFRG4htSURMMq1jWtA6NhmatICUZAhvFUic+ZW4PBzMK64gieZLoPmSaNn5xYHPsLxiF3nFLqh4BGelhQfbyyXYQh12whx2Qh0236N3CQu2ExpkJyzYVlpW7tFWrm6gLMiu3m0iIvWUEmMiIiKnwen2kO+7oCsocZNX7E1oeRdvgiuv7Otil6/MTYFvO28SzLuu2HX8HGAnYxgQHxlC85hQb8IrOpQE3/NAWYwmzBYRwBEGSd29i59per+A4+AvkL3NO5m/fzmyC4pzfN9au7bifQaFQXQiRDaDyKYQ2YzgyKYkRjYlMbIZxDWF5GYQkQj28t9Qa5omxS6PNylW5P08zC1ykVvkDCTKcn3lZdfnFTsDZblFLnKLXZT4PjsLfMM99+cWVxRttQgO8ibZwhx2IkK8ibiIkNIebhG+xTtM1F66LrS0XuAxWL3cRERqC50ti4hInefxmBS73LjcJk63B6fbpMTtobDETZHTuxQ63RQ5Pb7HMuUlFZSVqVvse+0vKypxU+Ryn6LH1ukLttsID7ETG+YIJLcSosskvHyvm0SFaMijiJw+w4DYlt4lZVD5dc4iOLwTDm2Do3u8CbQju33P90BeFrgKvesPbTv1e4VEQ1gshMVBWBxGWCNCw+IIDYsjPrxRoJyoOGgS4022hTc65W4Bil1u8ovd3mRZsTOQSPN/hgc+x32f3f7P/OLA53qZz/eyZSVuilyeQOINvD3iSlwejhY6K/9zPolQh+24pJr/eWiQt+dayDGPoQ4bIUF2QnyP/h5ux9YrrW/Hrp5uIiIndVqJsddff52//vWvZGVl0bVrV1577TUuuOCCE9b/6KOPmDRpEjt37qRdu3a88MILXHHFFYH1pmny+OOP8+abb3LkyBF+85vf8MYbb9CuXbvTCU9ERGqY0+3xJZG8j8Wu0ufHJZ9cHooDr311XG5KXB5vIstj4nR5cHm8CS2n21/uKX3uS3a53B5v/TLlJS47Ztp8y34WwUHeCxv/MB7/xU3Z3gIRIXbCg8tc/PjW+deX3TY4SMkuqd1atGhBRkYGSUlJ7Nmzx+pwpCY4QqFpB+9SEVcx5Oz1Lvn7IW8/5O3zLftLH/MPgMfl7X1WnOPtiVYZvf4Aw16uVNWQIDshQfYaGxbu9pjH3zQp20u4xNt7zd9jOK/YTV6x05usC5S5yj3331jx/k8s4WBeySmiODNBNqN80sxhIyI4iLBgOxHBdsJ9/5fCg73/jyJ8/5cigoMID7GXqVv6OjzETrhDvd5EpH6ocmLsgw8+4P7772fq1Kn07t2bV155hSFDhrB582aaNm16XP3vv/+e0aNHM3nyZH77298ye/Zshg8fzpo1a+jUqRMAL774Iv/4xz949913ad26NZMmTWLIkCFs2LCB0NDQMz9KkTrI7TEpKHFR6BsaUFDiptDpKn1e4j1B8z4vX17gu9PpsBuBu4v+u4ahvruL/jk2QnzrSuffKJ2Lo+y6utgzxTRNnG5vT6Ji313e0kc3HhMMvDfNDYzAVCllXxsG2AwjUA9/OWCUKS+7vc3mLQcwfXF446H8I2aZ52XqBeqUbufvm+R97t3O7SlNGDndHkrc3mPzlnlwury9pgKv3ab3brfbg9NXrySQdPK9dvmTTZ7SZJfLTXEg6eVNdLk9NdNb6vRUfCfcP+TluPllHOX/BkLLzjcT5Jt/5ti6Djshx2zrHUoTVCf/NkREzkhQCDRq7V1OxuOBoiNQeBgKDnkfCw9D4aFjyg55nxcd9SbQwhuflcOoDLvNCNzIqC7+Xm5lk2Zlh+PnFZfecCp2es9hiso8FlVQ5n0srV/iLu3p5vKYvveotkMICA6yBZJqESF2woK9vd3Ae16TnW3nvb0rMHwnSf5zmmPPeQJnFaZZ5jyo9Jyn7PmS3QYxYQ5iw4OJC3cQFx5MTJj3MS7CXx5MbJiDmDCH5oYTkVMyTP+nUiX17t2bXr16MWXKFAA8Hg/Jycncc889PPLII8fVv/baa8nPz2fu3LmBsj59+pCamsrUqVMxTZPExEQeeOABHnzwQQCOHj1Ks2bNmDFjBtddd90pY8rJySEmJoajR48SHR1dlcOptYqc7govPJ1OJ19//TWXXXYZDoejgi0rz+NLGjjLXUyXuXAud7Hsu4AOXEz7tzGPqVN6Qe7ymDjsBsFBNhx27xJsN7zPg2wEBx6N0vX+crsNh90I1CvdhxFYH2Q38JjeIVRu0ww8uj2li8c0cXso87xM3cBzfNt5jqvrMU1c7uP36y6zvdtTto5/H2Uey2zrKrOty21S5CqTzPInwXzJrpIqzjdU0+w2I9CtP9Rhw1VcSGx0FEF2G3ab4V0Mo/S5bwmyGdgMgyC779FmYPOVl9/Odlwdt6c0mVXs9LavYl+SpsTtLSt2e08CA/VcHkp8ibCqztkkp6fs8I6yydeQQDLWVkGC1rs+yGYE/raDyvztB9l8nwG+v/XAZ4LdVm4dppulixcx5NLBhIUG4/Cts9uMwEm4yNngdDr58ssvueKKK874/3Ntd9VVV3HgwAGaNGnC559/bnU4coyG1BblxNwe7zl9uYSa7xyq0HcDNd9/Y7XYRb7vXDS/uPy6/GIXhU7vo/91QYkbV626QXZihkEgaRbrS6LFlkmqxUb4HsN86yOCiQoNwuPxXie5PKU91F1leqz7e7n7e7i7yvRqd5Xp+V52W5fvWst/jWHivR7D9D56fAlAj+/y3GOagdce3w1Tj8ebLPTXNc2y+/K+NvFOy+C91jJ812C2ctdkDrtBSNnXvmuy8nVsZeoYgWs1u80IXNe4AsdW+rNyBa51fOvKlHvXlf4cym9fei3lvTHtuwntuwFtK3PDGnw3ro3SR/8N69Ly0hvXHo+bn9atI7VrVxyOIGy+axb/dYfdd+1R/loG7DYbdsPAZqPcdY29zPWNd71vW9+1jP93Z5b5HZb/fZf9PZYmf8vWM8v8Psu2BfD9PGzlfy7HH7/v52QrLbcZQJmb/uV+dmXKwxz158tGKpsrqtKtj5KSElavXs3EiRMDZTabjcGDB5OWllbhNmlpadx///3lyoYMGcKcOXMA2LFjB1lZWQwePDiwPiYmht69e5OWllZhYqy4uJji4tJbHjk53q+xcTqdOJ3VM+bfarfOWMX32w6dYG0Qf16x8KzGI9YxDAgv8+1I4f5HX4+Vss/LloU57Lg9Hgqd5U+KCn13E4tc5XsA+e8yFpY7gfIE7tC5PSb5JW7yS9z+yNhXmGfZz+V0+BOvIUHef+w2o/ydS38nLf9r/z+tsj29AncuKf3nVnb7Y++EQvmeZVC+t5m/oFyPNUp7oVF2u8B6b127zX+yY5Q70SlNNJd5foI6ZZPXx9YJPnaekjJDMALJryCbpQkop9NJTDBEBRs47AAeTA8oJypnm//8o76ch5zMJ598EnjeEI63rmlIbVFOLsiAyGCDyGA7YK/WfZe4PL7RCv6kWmlCrcjpwQDcHjfr1q2ja5cuBAUFBc57jj3HKXc+VOb8qOy6QLkBLrdJTqGTw4VOjhT4Fv/zwpJAWX6JG9Mk8FoaOjv/2rre6iDqhLl396V9QpTVYVSLyv4vrFJi7ODBg7jdbpo1a1auvFmzZmzaVMHXPANZWVkV1s/Kygqs95edqM6xJk+ezJNPPnlc+ddff014eHjlDqaWO3jQBpyd4Tk2TIJsYDe8XZODDO/if15aXlqv3Poy9bzrvfVsgNsEl2ng9oDL9L32lH/0P/euNyou92/jKzMrGDplYGLz3R2wQeldhSo8L7u9YZjl9nXs+iq9PmZfhu/n5bBBiA2C7RBsg2C7Wf61zVvHMFyV+2U6fUtBaVHcsXUcvqUSTN/P3OnxLiXu0udOj/f35cF71yOwHPu6UmUV7Mf0/qwcNm+7CjLMMs/LlAdem8evK/Pc7vtdiI/bt5yEC8jzLbXd/PnWzTEmUpbaotQWaotiFf/plh3o1hjI+JHqvl/lAJr6FuxApG8pw+WBAhfk+xenQYHLX2b4yqDA99xf122WnjDaDdN7LeQ7j7SXXWwVlPnO+cuW2Xx1y74uvQl68ufem6dm4Bz2hHV96214b9CWv5YyjruWcvuur8q+dlXhOsxG6XGWfbQde9zHlZkVriu7rWFQeuOZiqYUqXy5v2OjeUwdb0+tE1/HmBVdr1Cm/Jh1FV2bVsTw1zzJ79ufAThRud+xx1TRz8xf7v/7Ky0/ebzLvl3GtvqRVqGgoODUlaij30o5ceLEcr3QcnJySE5O5rLLLqs3QykHXeaholGuTqeTBQsWMmjQJWfcPd6AwDC4usbf9dYIdGVFw6bOIqfTyfz587n00sEapiGWKm2Ll6otiqXUFqW2UFuU2qIutkXT9A5B9Q+n0/XF8UzTrHM/l5pui/6RJv5hsoZv2KJB+eGKtcnxwzwB33GEBNnq1VDKyqhSYiw+Ph673c6+ffvKle/bt4+EhIQKt0lISDhpff/jvn37aN68ebk6qampFe4zJCSEkJCQ48odDked+dA9lRMdhtNpJ9gOUeGh9eZYT0fDPfLapT79zUndprYotYXaotQWaotSW9S1thhcM19wKrVAXWuLcuYq+/uu0li94OBgevTowYIFCwJlHo+HBQsW0Ldv3wq36du3b7n64O3a7a/funVrEhISytXJyclh+fLlJ9yniIiIiFjjnnvu4YYbbuCee+6xOhQRERGRM1bloZT3338/N910Ez179uSCCy7glVdeIT8/n1tuuQWAsWPHkpSUxOTJkwGYMGECAwYM4OWXX2bYsGH8+9//ZtWqVUybNg3wdim89957eeaZZ2jXrh2tW7dm0qRJJCYmMnz48Oo7UhERERE5Y5999hkZGRkkJSXx2muvWR2OiIiIyBmpcmLs2muv5cCBAzz22GNkZWWRmprKvHnzApPn79q1C5uttCNav379mD17No8++ih/+ctfaNeuHXPmzKFTp06BOn/+85/Jz8/n9ttv58iRI1x44YXMmzeP0NDQajhEERERERERERGR453W5Pvjx49n/PjxFa5bvHjxcWUjR45k5MiRJ9yfYRg89dRTPPXUU6cTjoiIiIicJcuWLcPtdmO3260ORUREROSM1clvpRQRERERa7Ru3drqEERERESqTZUm3xcREREREREREakvlBgTEREREREREZEGSUMpRURERKTSFi9eTHFxMSEhIQwcONDqcERERETOiBJjIiIiIlJpN9xwAxkZGSQlJbFnzx6rwxERERE5I/UiMWaaJgA5OTkWR1LznE4nBQUF5OTk4HA4rA5HGii1Q6kt1BaltmhIbdHj8QQeG8K5V13TkNqi1G5qi1JbqC02XP7zFH/O6ETqRWIsNzcXgOTkZIsjEREREWkYMjMziYmJsToMERERkZPKzc096TmLYZ4qdVYHeDwe9u7dS1RUFIZhWB1OjcrJySE5OZndu3cTHR1tdTjSQKkdSm2htii1hdqi1BZqi1JbqC1KbaG22HCZpklubi6JiYnYbCf+7sl60WPMZrPRokULq8M4q6Kjo/VHLZZTO5TaQm1Ragu1Rakt1BaltlBblNpCbbFhqkzv9hOnzEREREREREREROoxJcZERERERERERKRBUmKsjgkJCeHxxx8nJCTE6lCkAVM7lNpCbVFqC7VFqS3UFqW2UFuU2kJtUU6lXky+LyIiIiIiIiIiUlXqMSYiIiIiIiIiIg2SEmMiIiIiIiIiItIgKTEmIiIiIiIiIiINkhJjIiIiIiIiIiLSICkxZjG3282kSZNo3bo1YWFhtG3blqeffpqy34nw6aefctlll9G4cWMMw2Dt2rXH7WfgwIEYhlFu+eMf/3gWj0TquupqiwBpaWlccsklREREEB0dTf/+/SksLDxLRyJ1XXW0xZ07dx73mehfPvroo7N8RFJXVdfnYlZWFjfeeCMJCQlERETQvXt3Pvnkk7N4JFLXVVdb3LZtG9dccw1NmjQhOjqaUaNGsW/fvrN4JFLXnaotOp1OHn74YTp37kxERASJiYmMHTuWvXv3ltvPoUOHGDNmDNHR0cTGxjJu3Djy8vKsOCSpo6qrLT777LP069eP8PBwYmNjLTgSqQ2UGLPYCy+8wBtvvMGUKVPYuHEjL7zwAi+++CKvvfZaoE5+fj4XXnghL7zwwkn3ddttt5GZmRlYXnzxxZoOX+qR6mqLaWlpDB06lMsuu4wVK1awcuVKxo8fj82mjxupnOpoi8nJyeU+DzMzM3nyySeJjIzk8ssvP1uHInVcdX0ujh07ls2bN/P555/z008/MWLECEaNGkV6evrZOAypB6qjLebn53PZZZdhGAYLFy7ku+++o6SkhCuvvBKPx3O2DkXquFO1xYKCAtasWcOkSZNYs2YNn376KZs3b+aqq64qt58xY8bw888/M3/+fObOncvSpUu5/fbbrTgkqaOqqy2WlJQwcuRI7rzzTisOQ2oLUyw1bNgw89Zbby1XNmLECHPMmDHH1d2xY4cJmOnp6cetGzBggDlhwoQailIagupqi7179zYfffTRmgpTGoDqaovHSk1NPW6/IidTXW0xIiLCnDlzZrmyRo0amW+++Wa1xiv1V3W0xa+++sq02Wzm0aNHA2VHjhwxDcMw58+fXyNxS/1Tlbbot2LFChMwf/31V9M0TXPDhg0mYK5cuTJQ53//+59pGIaZkZFRM4FLvVMdbbGs6dOnmzExMdUdptQR6sJhsX79+rFgwQK2bNkCwI8//si33357Wj0aZs2aRXx8PJ06dWLixIkUFBRUd7hSj1VHW9y/fz/Lly+nadOm9OvXj2bNmjFgwAC+/fbbmgpb6qHq/Fz0W716NWvXrmXcuHHVFaY0ANXVFvv168cHH3zAoUOH8Hg8/Pvf/6aoqIiBAwfWQNRSH1VHWywuLsYwDEJCQgJloaGh2Gw2/Z+WSjudtnj06FEMwwgMU0tLSyM2NpaePXsG6gwePBibzcby5ctrNH6pP6qjLYr4BVkdQEP3yCOPkJOTQ4cOHbDb7bjdbp599lnGjBlTpf1cf/31nHPOOSQmJrJu3ToefvhhNm/ezKefflpDkUt9Ux1tcfv27QA88cQTvPTSS6SmpjJz5kwGDRrE+vXradeuXU2FL/VIdX0ulvX222/TsWNH+vXrV42RSn1XXW3xww8/5Nprr6Vx48YEBQURHh7OZ599RkpKSg1FLvVNdbTFPn36EBERwcMPP8xzzz2HaZo88sgjuN1uMjMzazB6qU+q2haLiop4+OGHGT16NNHR0YB33sWmTZuWqxcUFESjRo3Iysqq8WOQ+qE62qKInxJjFvvwww+ZNWsWs2fP5vzzz2ft2rXce++9JCYmctNNN1V6P2XH5Hfu3JnmzZszaNAgtm3bRtu2bWsidKlnqqMt+ucoueOOO7jlllsA6NatGwsWLOCdd95h8uTJNRa/1B/V9bnoV1hYyOzZs5k0aVINRCv1WXW1xUmTJnHkyBG++eYb4uPjmTNnDqNGjWLZsmV07ty5Bo9A6ovqaItNmjTho48+4s477+Qf//gHNpuN0aNH0717d80DKpVWlbbodDoZNWoUpmnyxhtvWBSx1Fdqi1KtLB7K2eC1aNHCnDJlSrmyp59+2mzfvv1xdasyl05eXp4JmPPmzauuUKWeq462uH37dhMw33vvvXLlo0aNMq+//vpqj1nqp+r+XJw5c6bpcDjM/fv3V3eoUs9VR1vcunWrCZjr168vVz5o0CDzjjvuqPaYpX6q7s/FAwcOmIcPHzZN0zSbNWtmvvjii9UZrtRjlW2LJSUl5vDhw80uXbqYBw8eLLfu7bffNmNjY8uVOZ1O0263m59++mnNBC71TnW0xbI0x1jDpttDFisoKDjuLp3dbj/jbwfyf0V38+bNz2g/0nBUR1ts1aoViYmJbN68uVz5li1bOOecc6olTqn/qvtz8e233+aqq66iSZMm1RGeNCDV0Rb9833WxP96aTiq+3MxPj6e2NhYFi5cyP79+4/7ljaRE6lMW/T3zvnll1/45ptvaNy4cbn6ffv25ciRI6xevTpQtnDhQjweD717967ZA5B6ozraooifhlJa7Morr+TZZ5+lZcuWnH/++aSnp/O3v/2NW2+9NVDn0KFD7Nq1i7179wIEkg4JCQkkJCSwbds2Zs+ezRVXXEHjxo1Zt24d9913H/3796dLly6WHJfUPdXRFg3D4KGHHuLxxx+na9eupKam8u6777Jp0yY+/vhjS45L6p7qaIt+W7duZenSpXz55Zdn9yCkXqiOttihQwdSUlK44447eOmll2jcuDFz5sxh/vz5zJ0715Ljkrqnuj4Xp0+fTseOHWnSpAlpaWlMmDCB++67j/bt25/9g5I66VRt0el08vvf/541a9Ywd+5c3G53YN6wRo0aERwcTMeOHRk6dCi33XYbU6dOxel0Mn78eK677joSExOtPDypQ6qjLQLs2rUr8PnpdrsDHUxSUlKIjIy05NjEAlZ3WWvocnJyzAkTJpgtW7Y0Q0NDzTZt2pj/93//ZxYXFwfqTJ8+3QSOWx5//HHTNE1z165dZv/+/c1GjRqZISEhZkpKivnQQw+V+zpukVOpjrboN3nyZLNFixZmeHi42bdvX3PZsmVn+WikLqvOtjhx4kQzOTnZdLvdZ/kopD6orra4ZcsWc8SIEWbTpk3N8PBws0uXLubMmTMtOCKpq6qrLT788MNms2bNTIfDYbZr1858+eWXTY/HY8ERSV11qrboH8pb0bJo0aLAfrKzs83Ro0ebkZGRZnR0tHnLLbeYubm5Fh2V1EXV1RZvuummU9aR+s8wTdOsqaSbiIiIiIiIiIhIbaU5xkREREREREREpEFSYkxERERERERERBokJcZERERERERERKRBUmJMREREREREREQaJCXGRERERERERESkQVJiTEREREREREREGiQlxkREREREREREpEFSYkxERETEIoZhMGfOHKvDAOCJJ54gNTW1StvMmDEDwzAwDIN77723RuIq64knngi83yuvvFLj7yciIiL1nxJjIiIiIg1MdSbkoqOjyczM5Omnn66W/Z3Mgw8+SGZmJi1atKjx9xIREZGGIcjqAERERESk7jIMg4SEhLPyXpGRkURGRmK328/K+4mIiEj9px5jIiIiUu/NnTuX2NhY3G43AGvXrsUwDB555JFAnT/84Q/ccMMNAGRnZzN69GiSkpIIDw+nc+fOvP/++4G606ZNIzExEY/HU+59rr76am699dbA6//85z90796d0NBQ2rRpw5NPPonL5TphnLt372bUqFHExsbSqFEjrr76anbu3BlYf/PNNzN8+HBeeuklmjdvTuPGjbn77rtxOp2BOpmZmQwbNoywsDBat27N7NmzadWqVWDoYatWrQC45pprMAwj8Nrvvffeo1WrVsTExHDdddeRm5t76h/wMVq1asVzzz3HrbfeSlRUFC1btmTatGmB9Tt37sQwDD788EMuuugiwsLC6NWrF1u2bGHlypX07NmTyMhILr/8cg4cOFDl9xcRERGpLCXGREREpN676KKLyM3NJT09HYAlS5YQHx/P4sWLA3WWLFnCwIEDASgqKqJHjx588cUXrF+/nttvv50bb7yRFStWADBy5Eiys7NZtGhRYPtDhw4xb948xowZA8CyZcsYO3YsEyZMYMOGDfzzn/9kxowZPPvssxXG6HQ6GTJkCFFRUSxbtozvvvuOyMhIhg4dSklJSaDeokWL2LZtG4sWLeLdd99lxowZzJgxI7B+7Nix7N27l8WLF/PJJ58wbdo09u/fH1i/cuVKAKZPn05mZmbgNcC2bduYM2cOc+fOZe7cuSxZsoTnn3/+NH7i8PLLL9OzZ0/S09O56667uPPOO9m8eXO5Oo8//jiPPvooa9asISgoiOuvv54///nPvPrqqyxbtoytW7fy2GOPndb7i4iIiFSGEmMiIiJS78XExJCamhpIhC1evJj77ruP9PR08vLyyMjIYOvWrQwYMACApKQkHnzwQVJTU2nTpg333HMPQ4cO5cMPPwQgLi6Oyy+/nNmzZwfe4+OPPyY+Pp6LL74YgCeffJJHHnmEm266iTZt2nDppZfy9NNP889//rPCGD/44AM8Hg9vvfUWnTt3pmPHjkyfPp1du3aVS+DFxcUxZcoUOnTowG9/+1uGDRvGggULANi0aRPffPMNb775Jr1796Z79+689dZbFBYWBrZv0qQJALGxsSQkJAReA3g8HmbMmEGnTp246KKLuPHGGwP7rqorrriCu+66i5SUFB5++GHi4+PLJRLBO2fYkCFD6NixIxMmTGD16tVMmjSJ3/zmN3Tr1o1x48Ydt42IiIhIdVJiTERERBqEAQMGsHjxYkzTZNmyZYwYMYKOHTvy7bffsmTJEhITE2nXrh0Abrebp59+ms6dO9OoUSMiIyP56quv2LVrV2B/Y8aM4ZNPPqG4uBiAWbNmcd1112GzeU+vfvzxR5566qnAvFiRkZHcdtttZGZmUlBQcFx8P/74I1u3biUqKipQv1GjRhQVFbFt27ZAvfPPP7/cHFvNmzcP9AjbvHkzQUFBdO/ePbA+JSWFuLi4Sv2MWrVqRVRUVIX7rqouXboEnvvnITt2X2XrNGvWDIDOnTuXKzvd9xcRERGpDE2+LyIiIg3CwIEDeeedd/jxxx9xOBx06NCBgQMHsnjxYg4fPhzoLQbw17/+lVdffZVXXnmFzp07ExERwb333ltuSOOVV16JaZp88cUX9OrVi2XLlvH3v/89sD4vL48nn3ySESNGHBdLaGjocWV5eXn06NGDWbNmHbeubK8uh8NRbp1hGMfNdXa6qnPfldlX2TqGYVRYVl3HJiIiIlIRJcZERESkQfDPM/b3v/89kAQbOHAgzz//PIcPH+aBBx4I1P3uu++4+uqrA5PxezwetmzZwnnnnReoExoayogRI5g1axZbt26lffv25Xpqde/enc2bN5OSklKp+Lp3784HH3xA06ZNiY6OPq1jbN++PS6Xi/T0dHr06AHA1q1bOXz4cLl6Docj8EUEIiIiIg2ZhlKKiIhIgxAXF0eXLl2YNWtWYJL9/v37s2bNGrZs2VKux1i7du2YP38+33//PRs3buSOO+5g3759x+1zzJgxfPHFF7zzzjuBSff9HnvsMWbOnMmTTz7Jzz//zMaNG/n3v//No48+WmF8Y8aMIT4+nquvvpply5axY8cOFi9ezJ/+9Cf27NlTqWPs0KEDgwcP5vbbb2fFihWkp6dz++23ExYWFuiRBd4hkwsWLCArK+u4pJmIiIhIQ6LEmIiIiDQYAwYMwO12BxJjjRo14rzzziMhIYH27dsH6j366KN0796dIUOGMHDgQBISEhg+fPhx+7vkkkto1KgRmzdv5vrrry+3bsiQIcydO5evv/6aXr160adPH/7+979zzjnnVBhbeHg4S5cupWXLloH5z8aNG0dRUVGVepDNnDmTZs2a0b9/f6655hpuu+02oqKiyg3ffPnll5k/fz7Jycl069at0vsWERERqW8M0zRNq4MQERERkZqxZ88ekpOT+eabbxg0aFC17nvGjBnce++9HDlypFr3eyqtWrXi3nvv5d577z2r7ysiIiL1j3qMiYiIiNQjCxcu5PPPP2fHjh18//33XHfddbRq1Yr+/fvXyPsdPXqUyMhIHn744RrZf1nPPfcckZGR5b4dVERERORMqMeYiIiISD3y1Vdf8cADD7B9+3aioqLo168fr7zyygmHcJ6J3NzcwNxrsbGxxMfHV/t7lHXo0CEOHToEeL+pMyYmpkbfT0REROo/JcZERERERERERKRB0lBKERERERERERFpkJQYExERERERERGRBkmJMRERERERERERaZCUGBMRERERERERkQZJiTEREREREREREWmQlBgTEREREREREZEGSYkxERERERERERFpkJQYExERERERERGRBkmJMRERERERERERaZD+P+gkz4VY1OdoAAAAAElFTkSuQmCC", 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" ] @@ -1042,7 +1109,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 34, "metadata": {}, "outputs": [], "source": [ @@ -1059,7 +1126,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 35, "metadata": {}, "outputs": [], "source": [ @@ -1071,14 +1138,14 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 36, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "The Si peak of the calibrated spectrum (Gaussian) 519.7164690949616\n" + "The Si peak of the calibrated spectrum (Gaussian) 519.7178082918621\n" ] }, { @@ -1117,14 +1184,14 @@ " \n", " \n", " g00_p0\n", - " 1.929141\n", - " 0.043425\n", - " 519.716469\n", - " 0.079569\n", - " 3.060971\n", - " 0.079549\n", - " 7.208035\n", - " 0.187323\n", + " 1.925403\n", + " 0.043342\n", + " 519.717808\n", + " 0.079416\n", + " 3.05504\n", + " 0.079396\n", + " 7.194069\n", + " 0.186963\n", " 0.251429\n", " 0.00566\n", " \n", @@ -1133,19 +1200,20 @@ "" ], "text/plain": [ - " amplitude amplitude_stderr ... height height_stderr\n", - "g00_p0 1.929141 0.043425 ... 0.251429 0.00566\n", + " amplitude amplitude_stderr center center_stderr sigma \\\n", + "g00_p0 1.925403 0.043342 519.717808 0.079416 3.05504 \n", "\n", - "[1 rows x 10 columns]" + " sigma_stderr fwhm fwhm_stderr height height_stderr \n", + "g00_p0 0.079396 7.194069 0.186963 0.251429 0.00566 " ] }, - "execution_count": 27, + "execution_count": 36, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -1176,7 +1244,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 37, "metadata": {}, "outputs": [], "source": [ @@ -1190,14 +1258,14 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 38, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "The Si peak of the calibrated spectrum (Pearson4) 520.5464302440323\n" + "The Si peak of the calibrated spectrum (Pearson4) 520.5462447047573\n" ] }, { @@ -1242,41 +1310,45 @@ " \n", " \n", " g00_p0\n", - " 2.127599\n", - " 0.02966\n", - " 520.54643\n", - " 0.105192\n", - " 4.267801\n", - " 0.174411\n", - " 1.646273\n", - " 0.092193\n", - " 0.460931\n", + " 2.12348\n", + " 0.029602\n", + " 520.546245\n", + " 0.104987\n", + " 4.2595\n", + " 0.174065\n", + " 1.64626\n", + " 0.092189\n", + " 0.460977\n", " 0.069493\n", - " 6.607825\n", - " 0.091378\n", + " 6.595053\n", + " 0.091198\n", " 0.267702\n", - " 0.00204\n", - " 519.948971\n", - " 0.029808\n", + " 0.002039\n", + " 519.949883\n", + " 0.02975\n", " \n", " \n", "\n", "" ], "text/plain": [ - " amplitude amplitude_stderr ... position position_stderr\n", - "g00_p0 2.127599 0.02966 ... 519.948971 0.029808\n", + " amplitude amplitude_stderr center center_stderr sigma \\\n", + "g00_p0 2.12348 0.029602 520.546245 0.104987 4.2595 \n", + "\n", + " sigma_stderr expon expon_stderr skew skew_stderr fwhm \\\n", + "g00_p0 0.174065 1.64626 0.092189 0.460977 0.069493 6.595053 \n", "\n", - "[1 rows x 16 columns]" + " fwhm_stderr height height_stderr position position_stderr \n", + "g00_p0 0.091198 0.267702 0.002039 519.949883 0.02975 " ] }, - "execution_count": 29, + "execution_count": 38, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -1300,7 +1372,7 @@ "# ax1.set_xlim(300, max(spe_sil.x))\n", "ax1.axvline(x=520.45, color='red', linestyle='-', linewidth=2, label=\"Reference 520.45 cm-1\")\n", "\n", - "ax1.axvline(x=df.iloc[0][\"center\"], color='black', linestyle=':', linewidth=2, label=\"Si peak {} cm-1\".format(df.iloc[0][\"center\"]))\n", + "ax1.axvline(x=df.iloc[0][\"center\"], color='black', linestyle=':', linewidth=2, label=\"Si peak {:.3f} cm-1\".format(df.iloc[0][\"center\"]))\n", "#cand.plot(ax=ax1,label=\"candidates\") \n", "fitres.plot(ax=ax1.twinx(),label=\"fit res\",color=\"magenta\")\n", "ax1.legend()\n", diff --git a/src/ramanchada2/misc/utils/matchsets.py b/src/ramanchada2/misc/utils/matchsets.py index a4709669..b6d18547 100644 --- a/src/ramanchada2/misc/utils/matchsets.py +++ b/src/ramanchada2/misc/utils/matchsets.py @@ -2,7 +2,6 @@ from sklearn.cluster import KMeans from scipy.optimize import linear_sum_assignment import numpy as np -from . import argmin2d, find_closest_pairs def match_peaks_cluster(spe_pos_dict, ref, _filter_range=True, cost_intensity=0.25): @@ -68,7 +67,6 @@ def match_peaks_cluster(spe_pos_dict, ref, _filter_range=True, cost_intensity=0. # Get the unique sources within the group unique_sources = group['Source'].unique() if 'reference' in unique_sources and 'spe' in unique_sources: - print(group) x = None r = None e_min = None diff --git a/src/ramanchada2/protocols/calibration/calibration_model.py b/src/ramanchada2/protocols/calibration/calibration_model.py index 89de59ef..c3350706 100644 --- a/src/ramanchada2/protocols/calibration/calibration_model.py +++ b/src/ramanchada2/protocols/calibration/calibration_model.py @@ -1,8 +1,7 @@ import pickle import warnings -from typing import Dict - +from typing import Dict, Literal import matplotlib.pyplot as plt from matplotlib.axes import Axes @@ -100,7 +99,9 @@ def derive_model_x( find_kw={"wlen": 200, "width": 1}, fit_kw={}, should_fit=False, - match_method="cluster" + match_method: Literal["cluster", "armin2d", "assignment"] = "cluster", + interpolator_method: Literal["rbf", "pchip", "cubic_spline"] = "rbf", + extrapolate=True ): """ Derives x-calibration models using Neon and Silicon spectra. @@ -120,7 +121,9 @@ def derive_model_x( fit_peaks_kw=fit_kw, should_fit=should_fit, name="Neon calibration", - match_method=match_method + match_method=match_method, + interpolator_method=interpolator_method, + extrapolate=extrapolate ) spe_sil_ne_calib = model_neon.process( spe_sil, spe_units=spe_sil_units, convert_back=False @@ -149,7 +152,9 @@ def _derive_model_curve( fit_peaks_kw=None, should_fit=False, name="X calibration", - match_method="cluster" + match_method: Literal["cluster", "armin2d", "assignment"] = "cluster", + interpolator_method: Literal["rbf", "pchip", "cubic_spline"] = "rbf", + extrapolate=True ): if find_kw is None: find_kw = {} @@ -162,7 +167,9 @@ def _derive_model_curve( spe_units=spe_units, ref=reference_peaks, ref_units=ref_units, - match_method=match_method + match_method=match_method, + interpolator_method=interpolator_method, + extrapolate=extrapolate ) calibration_x.derive_model( find_kw=find_kw, fit_peaks_kw=fit_peaks_kw, should_fit=should_fit, name=name @@ -180,7 +187,9 @@ def derive_model_curve( fit_peaks_kw={}, should_fit=False, name="X calibration", - match_method="cluster" + match_method: Literal["cluster", "armin2d", "assignment"] = "cluster", + interpolator_method: Literal["rbf", "pchip", "cubic_spline"] = "rbf", + extrapolate=True ): warnings.warn( message="Do not use directly. Use derive_model_x instead.", @@ -195,7 +204,9 @@ def derive_model_curve( fit_peaks_kw=fit_peaks_kw, should_fit=should_fit, name=name, - match_method=match_method + match_method=match_method, + interpolator_method=interpolator_method, + extrapolate=True ) def _derive_model_zero( @@ -299,8 +310,10 @@ def calibration_model_factory( fit_peaks_kw=None, should_fit=False, prominence_coeff=3, - match_method="cluster", - si_profile="Pearson4" + si_profile="Pearson4", + match_method: Literal["cluster", "armin2d", "assignment"] = "cluster", + interpolator_method: Literal["rbf", "pchip", "cubic_spline"] = "rbf", + extrapolate=True ): if neon_wl is None: @@ -312,7 +325,8 @@ def calibration_model_factory( calmodel = CalibrationModel(laser_wl) calmodel.prominence_coeff = prominence_coeff find_kw["prominence"] = spe_neon.y_noise_MAD() * calmodel.prominence_coeff - model_neon = calmodel.derive_model_curve( + + model_neon = calmodel._derive_model_curve( spe=spe_neon, ref=neon_wl, spe_units="cm-1", @@ -321,7 +335,9 @@ def calibration_model_factory( fit_peaks_kw=fit_peaks_kw, should_fit=should_fit, name="Neon calibration", - match_method=match_method + match_method=match_method, + interpolator_method=interpolator_method, + extrapolate=extrapolate ) spe_sil_ne_calib = model_neon.process( spe_sil, spe_units="cm-1", convert_back=False diff --git a/src/ramanchada2/protocols/calibration/xcalibration.py b/src/ramanchada2/protocols/calibration/xcalibration.py index d9368158..b8112a6b 100644 --- a/src/ramanchada2/protocols/calibration/xcalibration.py +++ b/src/ramanchada2/protocols/calibration/xcalibration.py @@ -1,7 +1,7 @@ import logging - +from typing import Literal import numpy as np -from scipy.interpolate import RBFInterpolator +from scipy.interpolate import RBFInterpolator, PchipInterpolator, CubicSpline import pandas as pd from ramanchada2.misc.utils.matchsets import ( @@ -12,18 +12,26 @@ from ramanchada2.misc.utils import find_closest_pairs_idx from ramanchada2.spectrum import Spectrum from .calibration_component import CalibrationComponent +import json logger = logging.getLogger(__name__) class XCalibrationComponent(CalibrationComponent): - def __init__(self, laser_wl, spe, spe_units, ref, ref_units, sample="Neon", match_method="cluster"): + def __init__(self, laser_wl, spe: Spectrum, spe_units: Literal["cm-1", "nm"] = "cm-1", + ref: Spectrum = None, ref_units: Literal["cm-1", "nm"] = "nm", sample="Neon", + match_method: Literal["cluster", "armin2d", "assignment"] = "cluster", + interpolator_method: Literal["rbf", "pchip", "cubic_spline"] = "rbf", + extrapolate=True + ): super(XCalibrationComponent, self).__init__( laser_wl, spe, spe_units, ref, ref_units, sample ) self.spe_pos_dict = None self.match_method = match_method self.cost_function = cost_function_position + self.interpolator_method = interpolator_method + self.extrapolate = extrapolate # @staticmethod # def from_json(filepath: str): @@ -32,7 +40,8 @@ def __init__(self, laser_wl, spe, spe_units, ref, ref_units, sample="Neon", matc # calibration_x.model = rbf_intrpolator # return calibration_x - def process(self, old_spe: Spectrum, spe_units="cm-1", convert_back=False): + def process(self, old_spe: Spectrum, spe_units: Literal["cm-1", "nm"] = "cm-1", convert_back=False, + nonmonotonic: Literal["ignore", "nan", "error"] = "nan"): logger.debug( "convert spe_units {} --> model units {}".format( spe_units, self.model_units @@ -43,14 +52,27 @@ def process(self, old_spe: Spectrum, spe_units="cm-1", convert_back=False): if self.model is None: return new_spe elif self.enabled: - if isinstance(self.model, RBFInterpolator): - new_spe.x = self.model(new_spe.x.reshape(-1, 1)) - assert np.all(np.diff(new_spe.x) > 0) - elif isinstance(self.model, float): + if isinstance(self.model, float): new_spe.x = new_spe.x + self.model - else: - return new_spe - + else: + if isinstance(self.model, CustomPChipInterpolator): + new_spe.x = self.model(new_spe.x) + elif isinstance(self.model, CustomRBFInterpolator): + new_spe.x = self.model(new_spe.x.reshape(-1, 1)) + if not self.extrapolate: + min_train, max_train = self.model.y.min(), self.model.y.max() + out_of_bounds = (new_spe.x < min_train) | (new_spe.x > max_train) + new_spe.x[out_of_bounds] = np.nan + + elif isinstance(self.model, CustomCubicSplineInterpolator): + new_spe.x = self.model(new_spe.x) + if not np.all(np.diff(new_spe.x) > 0): + if nonmonotonic == "nan": + new_spe.x = np.where(np.diff(new_spe.x, prepend=new_spe.x[0]) < 0, np.nan, new_spe.x) + elif nonmonotonic == "error": + assert nonmonotonic + else: + pass if convert_back: return self.convert_units(new_spe, self.model_units, spe_units) else: @@ -131,20 +153,37 @@ def derive_model( self.set_model(_offset, self.ref_units, peaks_df, name) else: try: - kwargs = {"kernel": "thin_plate_spline"} - interp = CustomRBFInterpolator( - x_spe.reshape(-1, 1), x_reference, **kwargs - ) + if self.interpolator_method == "pchip": + # kwargs = {"kernel": "thin_plate_spline"} + interp = CustomPChipInterpolator( + x_spe, x_reference + ) + elif self.interpolator_method == "cubic_spline": + kwargs = {"bc_type": "clamped"} + interp = CustomPChipInterpolator( + x_spe, x_reference + ) + elif self.interpolator_method == "rbf": + kwargs = {"kernel": "thin_plate_spline", "neighbors": len(x_spe)/3, "smoothing": 0} + interp = CustomRBFInterpolator( + x_spe.reshape(-1, 1), x_reference, **kwargs + ) self.set_model(interp, self.ref_units, peaks_df, name) except Exception as err: + print(err) raise err def match_peaks(self, threshold_max_distance=9, return_df=False): if self.match_method == "cluster": - x_spe, x_reference, x_distance, df = match_peaks_cluster( + x_spe, x_reference, x_distance, _ = match_peaks_cluster( self.spe_pos_dict, self.ref ) cost_matrix = None + df = pd.DataFrame({ + 'spe': x_spe, + 'reference': x_reference, + 'distances': x_distance + }) return x_spe, x_reference, x_distance, cost_matrix, df elif self.match_method == "argmin2d": x = np.array(list(self.spe_pos_dict.keys())) @@ -195,76 +234,23 @@ def fit_peaks(self, find_kw, fit_peaks_kw, should_fit): return peaks_df -class CustomRBFInterpolator(RBFInterpolator): - def __init__(self, *args, **kwargs): - super().__init__(*args, **kwargs) - - @staticmethod - def from_dict(rbf_dict=None): - if rbf_dict is None: - rbf_dict = {} - interpolator_loaded = CustomRBFInterpolator( - rbf_dict["y"], - rbf_dict["d"], - epsilon=rbf_dict["epsilon"], - smoothing=rbf_dict["smoothing"], - kernel=rbf_dict["kernel"], - neighbors=rbf_dict["neighbors"], - ) - interpolator_loaded._coeffs = rbf_dict["coeffs"] - interpolator_loaded._scale = rbf_dict["scale"] - interpolator_loaded._shift = rbf_dict["shift"] - return interpolator_loaded - - def to_dict(self): - return { - "y": self.y, - "d": self.d, - "d_dtype": self.d_dtype, - "d_shape": self.d_shape, - "epsilon": self.epsilon, - "kernel": self.kernel, - "neighbors": self.neighbors, - "powers": self.powers, - "smoothing": self.smoothing, - "coeffs": self._coeffs, - "scale": self._scale, - "shift": self._shift, - } - - def plot(self, ax): - ax.scatter(self.y.reshape(-1), self.d.reshape(-1), marker="+", color="blue", label="Matched peaks") - - x_range = np.linspace(self.y.min(), self.y.max(), 100) - predicted_x = self(x_range.reshape(-1, 1)) - - ax.plot(x_range, predicted_x, color="red", linestyle='-', label="Calibration curve") - ax.set_xlabel("Ne peaks, nm") - ax.set_ylabel("Reference peaks, nm") - ax.grid(which='both', linestyle='--', linewidth=0.5, color='gray') - ax.legend() - - def __str__(self): - return ( - f"Calibration curve {len(self.y)} points) {self.kernel}" - - ) - - class LazerZeroingComponent(CalibrationComponent): def __init__( self, laser_wl, - spe, - spe_units="nm", - ref={520.45: 1}, - ref_units="cm-1", + spe: Spectrum, + spe_units: Literal["cm-1", "nm"] = "nm", + ref=None, + ref_units: Literal["cm-1", "nm"] = "cm-1", sample="Silicon", + profile="Pearson4" ): + if ref is None: + ref = {520.45: 1} super(LazerZeroingComponent, self).__init__( laser_wl, spe, spe_units, ref, ref_units, sample ) - self.profile = "Pearson4" + self.profile = profile def derive_model(self, find_kw=None, fit_peaks_kw=None, should_fit=True, name=None): if find_kw is None: @@ -305,7 +291,7 @@ def zero_nm_to_shift_cm_1(self, wl, zero_pos_nm, zero_ref_cm_1=520.45): # we do not do shift (as initially implemented) # just convert the spectrum nm->cm-1 using the Si measured peak in nm and reference in cm-1 # https://www.elodiz.com/calibration-and-validation-of-raman-instruments/ - def process(self, old_spe: Spectrum, spe_units="nm", convert_back=False): + def process(self, old_spe: Spectrum, spe_units: Literal["cm-1", "nm"] = "nm", convert_back=False): wl_si_ref = list(self.ref.keys())[0] logger.debug(self.name, "process", self.model, wl_si_ref) new_x = self.zero_nm_to_shift_cm_1(old_spe.x, self.model, wl_si_ref) @@ -321,3 +307,152 @@ def _plot(self, ax, **kwargs): # ax.set_xlim(520.45-50,520.45+50) # ax.set_xlabel("cm-1") pass + + +class CustomRBFInterpolator(RBFInterpolator): + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + + @staticmethod + def from_dict(rbf_dict=None): + if rbf_dict is None: + rbf_dict = {} + interpolator_loaded = CustomRBFInterpolator( + rbf_dict["y"], + rbf_dict["d"], + epsilon=rbf_dict["epsilon"], + smoothing=rbf_dict["smoothing"], + kernel=rbf_dict["kernel"], + neighbors=rbf_dict["neighbors"], + ) + interpolator_loaded._coeffs = rbf_dict["coeffs"] + interpolator_loaded._scale = rbf_dict["scale"] + interpolator_loaded._shift = rbf_dict["shift"] + return interpolator_loaded + + def to_dict(self): + return { + "y": self.y, + "d": self.d, + "d_dtype": self.d_dtype, + "d_shape": self.d_shape, + "epsilon": self.epsilon, + "kernel": self.kernel, + "neighbors": self.neighbors, + "powers": self.powers, + "smoothing": self.smoothing, + "coeffs": self._coeffs, + "scale": self._scale, + "shift": self._shift, + } + + def plot(self, ax): + ax.scatter(self.y.reshape(-1), self.d.reshape(-1), marker="+", color="blue", label="Matched peaks") + + x_range = np.linspace(self.y.min(), self.y.max(), 100) + predicted_x = self(x_range.reshape(-1, 1)) + + ax.plot(x_range, predicted_x, color="red", linestyle='-', label="Calibration curve") + ax.set_xlabel("Ne peaks, nm") + ax.set_ylabel("Reference peaks, nm") + ax.grid(which='both', linestyle='--', linewidth=0.5, color='gray') + ax.legend() + + def __str__(self): + return ( + f"Calibration curve {len(self.y)} points) {self.kernel}" + + ) + + +class CustomPChipInterpolator(PchipInterpolator): + def __init__(self, x, y): + super().__init__(x, y) + self.x = x # Store x values + self.y = y # Store y values + + @staticmethod + def from_dict(pchip_dict=None): + if pchip_dict is None: + pchip_dict = {} + # Load the PCHIP interpolator from a dictionary + interpolator_loaded = CustomPChipInterpolator( + np.array(pchip_dict["x"]), # Convert back to numpy arrays + np.array(pchip_dict["y"]), + ) + return interpolator_loaded + + def to_dict(self): + # Save the current x and y data to a dictionary + return { + "x": self.x.tolist(), # Convert numpy arrays to lists for JSON serialization + "y": self.y.tolist(), + } + + def save_coefficients(self, filename): + """Save the x and y coefficients to a JSON file.""" + coeffs = self.to_dict() + with open(filename, 'w') as f: + json.dump(coeffs, f) + + @classmethod + def load_coefficients(cls, filename): + """Load the coefficients from a JSON file.""" + with open(filename, 'r') as f: + coeffs = json.load(f) + return cls.from_dict(coeffs) + + def plot(self, ax): + """Plot the interpolation curve and the original points.""" + ax.scatter(self.x, self.y, marker="+", color="blue", label="Data Points") + + x_range = np.linspace(self.x.min(), self.x.max(), 100) + predicted_y = self(x_range) + + ax.plot(x_range, predicted_y, color="red", linestyle='-', label="Calibration curve") + ax.set_xlabel("Peaks, nm") + ax.set_ylabel("Reference peaks, nm") + ax.grid(which='both', linestyle='--', linewidth=0.5, color='gray') + ax.legend() + + def __str__(self): + return f"Calibration curve {len(self.y)} points) (PchipInterpolator)" + + +class CustomCubicSplineInterpolator(CubicSpline): + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + + @staticmethod + def from_dict(spline_dict=None): + if spline_dict is None: + spline_dict = {} + interpolator_loaded = CustomCubicSplineInterpolator( + spline_dict["x"], + spline_dict["y"], + bc_type=spline_dict.get("bc_type", 'clamped'), + extrapolate=spline_dict.get("extrapolate", True) + ) + return interpolator_loaded + + def to_dict(self): + return { + "x": self.x, + "y": self.y, + "bc_type": self.bc_type, + "extrapolate": self.extrapolate, + } + + def plot(self, ax): + ax.scatter(self.x, self.y, marker="+", color="blue", label="Data points") + x_range = np.linspace(self.x.min(), self.x.max(), 100) + predicted_y = self(x_range) + + ax.plot(x_range, predicted_y, color="red", linestyle='-', label="Cubic spline curve") + ax.set_xlabel("X values") + ax.set_ylabel("Y values") + ax.grid(which='both', linestyle='--', linewidth=0.5, color='gray') + ax.legend() + + def __str__(self): + return f"Cubic Spline Interpolator with {len(self.x)} points." From d8fdfd040f9416f7271d49fa59ad6587fc336425 Mon Sep 17 00:00:00 2001 From: vedina Date: Sun, 3 Nov 2024 13:35:56 +0200 Subject: [PATCH 28/38] pydantic typing --- src/ramanchada2/misc/utils/matchsets.py | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/src/ramanchada2/misc/utils/matchsets.py b/src/ramanchada2/misc/utils/matchsets.py index b6d18547..13d1fa81 100644 --- a/src/ramanchada2/misc/utils/matchsets.py +++ b/src/ramanchada2/misc/utils/matchsets.py @@ -2,9 +2,9 @@ from sklearn.cluster import KMeans from scipy.optimize import linear_sum_assignment import numpy as np +from typing import Dict - -def match_peaks_cluster(spe_pos_dict, ref, _filter_range=True, cost_intensity=0.25): +def match_peaks_cluster(spe_pos_dict: Dict[float, float], ref: Dict[float, float], _filter_range=True, cost_intensity=0.25): wl_label = "Wavelength" intensity_label = "Intensity" source_label = "Source" @@ -87,12 +87,12 @@ def match_peaks_cluster(spe_pos_dict, ref, _filter_range=True, cost_intensity=0. return (x_spe[sort_indices], x_reference[sort_indices], x_distance[sort_indices], df) -def cost_function_position(p1, p2, order_weight=1.0, priority_weight=1.0): +def cost_function_position(p1: Dict[float, float], p2: Dict[float, float], order_weight=1.0, priority_weight=1.0): order_penalty = order_weight * abs(p1[0] - p2[0]) return order_penalty -def cost_function(p1, p2, order_weight=1.0, priority_weight=.1): +def cost_function(p1: Dict[float, float], p2: Dict[float, float], order_weight=1.0, priority_weight=.1): """ Modified cost function with an order preservation penalty and priority weighting. - `order_weight` increases penalty for large differences in the x-axis values. @@ -111,7 +111,7 @@ def normalize_tuples(tuples): return [(tuples[i][0], normalized_values[i]) for i in range(len(tuples))] -def cost_matrix_peaks(spectrum_a_dict, spectrum_b_dict, threshold_max_distance=9, cost_func=None): +def cost_matrix_peaks(spectrum_a_dict: Dict[float, float], spectrum_b_dict: Dict[float, float], threshold_max_distance=9, cost_func=None): if cost_func is None: cost_func = cost_function_position peaks_a = np.array(list(spectrum_a_dict.keys())) @@ -143,7 +143,7 @@ def normalize_intensities(intensities): return cost_matrix -def match_peaks(spectrum_a_dict, spectrum_b_dict, threshold_max_distance=9, df=False, cost_func=None): +def match_peaks(spectrum_a_dict: Dict[float, float], spectrum_b_dict: Dict[float, float], threshold_max_distance=9, df=False, cost_func=None): """ Match peaks between two spectra based on their positions and intensities. From b45c8343a0f80a441515a6cba9e3e7d9c28013a5 Mon Sep 17 00:00:00 2001 From: vedina Date: Sun, 3 Nov 2024 13:46:52 +0200 Subject: [PATCH 29/38] move nonmonotonic handler option into class field --- examples/publication/demo.ipynb | 30 +++++++++---------- .../calibration/calibration_component.py | 3 ++ .../calibration/calibration_model.py | 4 +++ .../protocols/calibration/xcalibration.py | 9 +++--- 4 files changed, 26 insertions(+), 20 deletions(-) diff --git a/examples/publication/demo.ipynb b/examples/publication/demo.ipynb index fe9d18cc..5b5b42c5 100644 --- a/examples/publication/demo.ipynb +++ b/examples/publication/demo.ipynb @@ -698,7 +698,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -828,7 +828,7 @@ "[98 rows x 4 columns]" ] }, - "execution_count": 28, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, @@ -863,7 +863,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -935,7 +935,7 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ @@ -977,7 +977,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -1005,7 +1005,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -1052,7 +1052,7 @@ "0 818.35817 0.438018 0.269451 0.145588" ] }, - "execution_count": 32, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -1064,7 +1064,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -1109,7 +1109,7 @@ }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 23, "metadata": {}, "outputs": [], "source": [ @@ -1126,7 +1126,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 24, "metadata": {}, "outputs": [], "source": [ @@ -1138,7 +1138,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -1207,7 +1207,7 @@ "g00_p0 0.079396 7.194069 0.186963 0.251429 0.00566 " ] }, - "execution_count": 36, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" }, @@ -1244,7 +1244,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -1258,7 +1258,7 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -1342,7 +1342,7 @@ "g00_p0 0.091198 0.267702 0.002039 519.949883 0.02975 " ] }, - "execution_count": 38, + "execution_count": 27, "metadata": {}, "output_type": "execute_result" }, diff --git a/src/ramanchada2/protocols/calibration/calibration_component.py b/src/ramanchada2/protocols/calibration/calibration_component.py index 3ed82384..e10da1dc 100644 --- a/src/ramanchada2/protocols/calibration/calibration_component.py +++ b/src/ramanchada2/protocols/calibration/calibration_component.py @@ -4,6 +4,7 @@ import numpy as np import pandas as pd from matplotlib.axes import Axes +from typing import Literal from ramanchada2.misc.plottable import Plottable from ramanchada2.spectrum import Spectrum @@ -18,6 +19,8 @@ def __init__(self): class CalibrationComponent(Plottable): + nonmonotonic: Literal["ignore", "nan", "error"] = "nan" + def __init__(self, laser_wl, spe, spe_units, ref, ref_units, sample=None): super(CalibrationComponent, self).__init__() self.laser_wl = laser_wl diff --git a/src/ramanchada2/protocols/calibration/calibration_model.py b/src/ramanchada2/protocols/calibration/calibration_model.py index c3350706..8fb6411e 100644 --- a/src/ramanchada2/protocols/calibration/calibration_model.py +++ b/src/ramanchada2/protocols/calibration/calibration_model.py @@ -13,6 +13,8 @@ class CalibrationModel(ProcessingModel, Plottable): + nonmonotonic: Literal["ignore", "nan", "error"] = "nan" + """ A class representing a calibration model for Raman spectrum. """ @@ -125,6 +127,7 @@ def derive_model_x( interpolator_method=interpolator_method, extrapolate=extrapolate ) + model_neon.nonmonotonic = self.nonmonotonic spe_sil_ne_calib = model_neon.process( spe_sil, spe_units=spe_sil_units, convert_back=False ) @@ -171,6 +174,7 @@ def _derive_model_curve( interpolator_method=interpolator_method, extrapolate=extrapolate ) + calibration_x.nonmonotonic = self.nonmonotonic calibration_x.derive_model( find_kw=find_kw, fit_peaks_kw=fit_peaks_kw, should_fit=should_fit, name=name ) diff --git a/src/ramanchada2/protocols/calibration/xcalibration.py b/src/ramanchada2/protocols/calibration/xcalibration.py index b8112a6b..c937783f 100644 --- a/src/ramanchada2/protocols/calibration/xcalibration.py +++ b/src/ramanchada2/protocols/calibration/xcalibration.py @@ -40,8 +40,7 @@ def __init__(self, laser_wl, spe: Spectrum, spe_units: Literal["cm-1", "nm"] = " # calibration_x.model = rbf_intrpolator # return calibration_x - def process(self, old_spe: Spectrum, spe_units: Literal["cm-1", "nm"] = "cm-1", convert_back=False, - nonmonotonic: Literal["ignore", "nan", "error"] = "nan"): + def process(self, old_spe: Spectrum, spe_units: Literal["cm-1", "nm"] = "cm-1", convert_back=False): logger.debug( "convert spe_units {} --> model units {}".format( spe_units, self.model_units @@ -67,10 +66,10 @@ def process(self, old_spe: Spectrum, spe_units: Literal["cm-1", "nm"] = "cm-1", elif isinstance(self.model, CustomCubicSplineInterpolator): new_spe.x = self.model(new_spe.x) if not np.all(np.diff(new_spe.x) > 0): - if nonmonotonic == "nan": + if self.nonmonotonic == "nan": new_spe.x = np.where(np.diff(new_spe.x, prepend=new_spe.x[0]) < 0, np.nan, new_spe.x) - elif nonmonotonic == "error": - assert nonmonotonic + elif self.nonmonotonic == "error": + assert self.nonmonotonic else: pass if convert_back: From 96bc1256efe8da599ede7eab351bfa4d4144ffce Mon Sep 17 00:00:00 2001 From: vedina Date: Sun, 3 Nov 2024 13:53:46 +0200 Subject: [PATCH 30/38] mypy happiness --- src/ramanchada2/misc/utils/matchsets.py | 30 ++++++++++--------- .../calibration/calibration_model.py | 2 +- .../protocols/calibration/xcalibration.py | 9 +++--- 3 files changed, 22 insertions(+), 19 deletions(-) diff --git a/src/ramanchada2/misc/utils/matchsets.py b/src/ramanchada2/misc/utils/matchsets.py index 13d1fa81..82395fcf 100644 --- a/src/ramanchada2/misc/utils/matchsets.py +++ b/src/ramanchada2/misc/utils/matchsets.py @@ -2,7 +2,8 @@ from sklearn.cluster import KMeans from scipy.optimize import linear_sum_assignment import numpy as np -from typing import Dict +from typing import Dict, List + def match_peaks_cluster(spe_pos_dict: Dict[float, float], ref: Dict[float, float], _filter_range=True, cost_intensity=0.25): wl_label = "Wavelength" @@ -79,10 +80,11 @@ def match_peaks_cluster(spe_pos_dict: Dict[float, float], ref: Dict[float, float x = w_spe r = w_ref e_min = e - x_spe = np.append(x_spe, x) - x_reference = np.append(x_reference, r) - x_distance = np.append(x_distance, e_min) - clusters = np.append(clusters, cluster) + if x is not None and r is not None and e_min is not None: + x_spe = np.append(x_spe, x) + x_reference = np.append(x_reference, r) + x_distance = np.append(x_distance, e_min) + clusters = np.append(clusters, cluster) sort_indices = np.argsort(x_spe) return (x_spe[sort_indices], x_reference[sort_indices], x_distance[sort_indices], df) @@ -193,11 +195,11 @@ def match_peaks(spectrum_a_dict: Dict[float, float], spectrum_b_dict: Dict[float # Prepare matched peaks and distances # I am sure this could be done in a more efficient way - matched_peaks_a = [] - matched_peaks_b = [] - matched_distances = [] - intensity_a = [] - intensity_b = [] + matched_peaks_a: List[float] = [] + matched_peaks_b: List[float] = [] + matched_distances: List[float] = [] + intensity_a: List[float] = [] + intensity_b: List[float] = [] peaks_a = np.array(list(spectrum_a_dict.keys())) intensities_a = np.array(list(spectrum_a_dict.values())) @@ -228,9 +230,9 @@ def match_peaks(spectrum_a_dict: Dict[float, float], spectrum_b_dict: Dict[float intensity_b[-1] = intensities_b[col_ind[i]] last_matched_cost = cost - matched_peaks_a = np.array(matched_peaks_a) - matched_peaks_b = np.array(matched_peaks_b) - matched_distances = np.array(matched_distances) + matched_peaks_a_np = np.array(matched_peaks_a) + matched_peaks_b_np = np.array(matched_peaks_b) + matched_distances_np = np.array(matched_distances) # Sort matched peaks by peaks_a # linear_sum_assignment shall give the row_ind sorted @@ -249,4 +251,4 @@ def match_peaks(spectrum_a_dict: Dict[float, float], spectrum_b_dict: Dict[float }) else: df = None - return (matched_peaks_a, matched_peaks_b, matched_distances, cost_matrix, df) + return (matched_peaks_a_np, matched_peaks_b_np, matched_distances_np, cost_matrix, df) diff --git a/src/ramanchada2/protocols/calibration/calibration_model.py b/src/ramanchada2/protocols/calibration/calibration_model.py index 8fb6411e..9f1be71a 100644 --- a/src/ramanchada2/protocols/calibration/calibration_model.py +++ b/src/ramanchada2/protocols/calibration/calibration_model.py @@ -148,7 +148,7 @@ def derive_model_x( def _derive_model_curve( self, spe: Spectrum, - ref=None, + ref=Dict[float, float], spe_units="cm-1", ref_units="nm", find_kw=None, diff --git a/src/ramanchada2/protocols/calibration/xcalibration.py b/src/ramanchada2/protocols/calibration/xcalibration.py index c937783f..f5547ce6 100644 --- a/src/ramanchada2/protocols/calibration/xcalibration.py +++ b/src/ramanchada2/protocols/calibration/xcalibration.py @@ -1,5 +1,5 @@ import logging -from typing import Literal +from typing import Literal, Dict import numpy as np from scipy.interpolate import RBFInterpolator, PchipInterpolator, CubicSpline import pandas as pd @@ -18,8 +18,9 @@ class XCalibrationComponent(CalibrationComponent): - def __init__(self, laser_wl, spe: Spectrum, spe_units: Literal["cm-1", "nm"] = "cm-1", - ref: Spectrum = None, ref_units: Literal["cm-1", "nm"] = "nm", sample="Neon", + def __init__(self, laser_wl, spe: Spectrum, ref: Dict[float, float], + spe_units: Literal["cm-1", "nm"] = "cm-1", + ref_units: Literal["cm-1", "nm"] = "nm", sample="Neon", match_method: Literal["cluster", "armin2d", "assignment"] = "cluster", interpolator_method: Literal["rbf", "pchip", "cubic_spline"] = "rbf", extrapolate=True @@ -362,7 +363,7 @@ def __str__(self): f"Calibration curve {len(self.y)} points) {self.kernel}" ) - + class CustomPChipInterpolator(PchipInterpolator): def __init__(self, x, y): From 7e384b55a79c3e359add7aae96200b67ef1bc83b Mon Sep 17 00:00:00 2001 From: vedina Date: Sun, 3 Nov 2024 14:38:36 +0200 Subject: [PATCH 31/38] flake8 happiness --- src/ramanchada2/io/HSDS.py | 2 ++ src/ramanchada2/misc/utils/__init__.py | 4 ++-- src/ramanchada2/misc/utils/matchsets.py | 19 +++++++++++-------- tests/protocols/test_calibrationmodel.py | 6 +++--- 4 files changed, 18 insertions(+), 13 deletions(-) diff --git a/src/ramanchada2/io/HSDS.py b/src/ramanchada2/io/HSDS.py index 15773aae..60887a88 100644 --- a/src/ramanchada2/io/HSDS.py +++ b/src/ramanchada2/io/HSDS.py @@ -67,9 +67,11 @@ def write_nexus(filename: str, class DatasetExistsError(Exception): pass + def sanitize_key(key: str) -> str: return ''.join(c if ord(c) < 128 else '_' for c in key) + @validate_call(config=dict(arbitrary_types_allowed=True)) def write_cha(filename: str, dataset: str, diff --git a/src/ramanchada2/misc/utils/__init__.py b/src/ramanchada2/misc/utils/__init__.py index 0c1b35c7..fd683a91 100644 --- a/src/ramanchada2/misc/utils/__init__.py +++ b/src/ramanchada2/misc/utils/__init__.py @@ -18,6 +18,6 @@ ) from .matchsets import ( - match_peaks, + match_peaks, match_peaks_cluster - ) \ No newline at end of file + ) diff --git a/src/ramanchada2/misc/utils/matchsets.py b/src/ramanchada2/misc/utils/matchsets.py index 82395fcf..bb689c35 100644 --- a/src/ramanchada2/misc/utils/matchsets.py +++ b/src/ramanchada2/misc/utils/matchsets.py @@ -5,7 +5,8 @@ from typing import Dict, List -def match_peaks_cluster(spe_pos_dict: Dict[float, float], ref: Dict[float, float], _filter_range=True, cost_intensity=0.25): +def match_peaks_cluster(spe_pos_dict: Dict[float, float], ref: Dict[float, float], + _filter_range=True, cost_intensity=0.25): wl_label = "Wavelength" intensity_label = "Intensity" source_label = "Source" @@ -80,7 +81,7 @@ def match_peaks_cluster(spe_pos_dict: Dict[float, float], ref: Dict[float, float x = w_spe r = w_ref e_min = e - if x is not None and r is not None and e_min is not None: + if x is not None and r is not None and e_min is not None: x_spe = np.append(x_spe, x) x_reference = np.append(x_reference, r) x_distance = np.append(x_distance, e_min) @@ -113,7 +114,8 @@ def normalize_tuples(tuples): return [(tuples[i][0], normalized_values[i]) for i in range(len(tuples))] -def cost_matrix_peaks(spectrum_a_dict: Dict[float, float], spectrum_b_dict: Dict[float, float], threshold_max_distance=9, cost_func=None): +def cost_matrix_peaks(spectrum_a_dict: Dict[float, float], spectrum_b_dict: Dict[float, float], + threshold_max_distance=9, cost_func=None): if cost_func is None: cost_func = cost_function_position peaks_a = np.array(list(spectrum_a_dict.keys())) @@ -137,15 +139,16 @@ def normalize_intensities(intensities): for i in range(num_peaks_a): for j in range(num_peaks_b): - cost = cost_func([peaks_a[i], intensities_a_normalized[i]], - [peaks_b[j], intensities_b_normalized[j]], + cost = cost_func([peaks_a[i], intensities_a_normalized[i]], + [peaks_b[j], intensities_b_normalized[j]], priority_weight=1 ) cost_matrix[i, j] = cost return cost_matrix -def match_peaks(spectrum_a_dict: Dict[float, float], spectrum_b_dict: Dict[float, float], threshold_max_distance=9, df=False, cost_func=None): +def match_peaks(spectrum_a_dict: Dict[float, float], spectrum_b_dict: Dict[float, float], + threshold_max_distance=9, df=False, cost_func=None): """ Match peaks between two spectra based on their positions and intensities. @@ -181,8 +184,8 @@ def match_peaks(spectrum_a_dict: Dict[float, float], spectrum_b_dict: Dict[float >>> match_peaks(spectrum_a, spectrum_b) """ - cost_matrix = cost_matrix_peaks(spectrum_a_dict, spectrum_b_dict, - threshold_max_distance=threshold_max_distance, + cost_matrix = cost_matrix_peaks(spectrum_a_dict, spectrum_b_dict, + threshold_max_distance=threshold_max_distance, cost_func=cost_function if cost_func is None else cost_func ) diff --git a/tests/protocols/test_calibrationmodel.py b/tests/protocols/test_calibrationmodel.py index afc2db43..40b77115 100644 --- a/tests/protocols/test_calibrationmodel.py +++ b/tests/protocols/test_calibrationmodel.py @@ -208,7 +208,7 @@ def compare_calibrated_spe(setup_module, spectra, name="calibration"): _units = "cm^{-1}" _units = rf"$\mathrm{{[{_units}]}}$" if _plots: - spe_norm.plot(ax=ax[index + 1], label=f"original {index}", color=crl[index][0]) + spe_norm.plot(ax=ax[index + 1], label=f"original {index}", color=crl[index][0]) spe_c_norm.plot( ax=ax[index + 1], label=f"calibrated {index}", color=crl[index][1] ) @@ -219,7 +219,7 @@ def compare_calibrated_spe(setup_module, spectra, name="calibration"): if _plots: plt.tight_layout() plt.savefig("test_calmodel_{}.png".format(name)) - # print(name,np.mean(cos_sim_matrix_original),np.mean(cos_sim_matrix)) + print(name, np.mean(cos_sim_matrix_original), np.mean(cos_sim_matrix)) # assert(np.mean(cos_sim_matrix_original) <= np.mean(cos_sim_matrix)) assert np.mean(cos_sim_matrix_original) <= (np.mean(cos_sim_matrix) + 1e-4) @@ -270,7 +270,7 @@ def test_ycalibration(setup_module): if _plots: fig, ax = plt.subplots(3, 1, figsize=(24, 8)) certificate.plot(ax=ax[2], color="pink") - spe_to_correct.plot(ax=ax[0], label="PST") + spe_to_correct.plot(ax=ax[0], label="PST") spe_to_correct1.plot(ax=ax[0], label="smoothed") setup_module.spe_SRM2241.plot(ax=ax[0].twinx(), label=key) spe_ycalibrated.plot(ax=ax[1], label="y calibrated") From df9d360b10ed64d5ed97e9205e484d5ed2bb54ef Mon Sep 17 00:00:00 2001 From: vedina Date: Sun, 3 Nov 2024 14:41:04 +0200 Subject: [PATCH 32/38] flake8 happy --- src/ramanchada2/misc/utils/matchsets.py | 2 +- src/ramanchada2/protocols/calibration/xcalibration.py | 4 ++-- tests/protocols/test_calibrationmodel.py | 2 +- 3 files changed, 4 insertions(+), 4 deletions(-) diff --git a/src/ramanchada2/misc/utils/matchsets.py b/src/ramanchada2/misc/utils/matchsets.py index bb689c35..6ac587ad 100644 --- a/src/ramanchada2/misc/utils/matchsets.py +++ b/src/ramanchada2/misc/utils/matchsets.py @@ -81,7 +81,7 @@ def match_peaks_cluster(spe_pos_dict: Dict[float, float], ref: Dict[float, float x = w_spe r = w_ref e_min = e - if x is not None and r is not None and e_min is not None: + if x is not None and r is not None and e_min is not None: x_spe = np.append(x_spe, x) x_reference = np.append(x_reference, r) x_distance = np.append(x_distance, e_min) diff --git a/src/ramanchada2/protocols/calibration/xcalibration.py b/src/ramanchada2/protocols/calibration/xcalibration.py index f5547ce6..fdda4e20 100644 --- a/src/ramanchada2/protocols/calibration/xcalibration.py +++ b/src/ramanchada2/protocols/calibration/xcalibration.py @@ -363,7 +363,7 @@ def __str__(self): f"Calibration curve {len(self.y)} points) {self.kernel}" ) - + class CustomPChipInterpolator(PchipInterpolator): def __init__(self, x, y): @@ -417,7 +417,7 @@ def plot(self, ax): def __str__(self): return f"Calibration curve {len(self.y)} points) (PchipInterpolator)" - + class CustomCubicSplineInterpolator(CubicSpline): def __init__(self, *args, **kwargs): diff --git a/tests/protocols/test_calibrationmodel.py b/tests/protocols/test_calibrationmodel.py index 40b77115..552ff393 100644 --- a/tests/protocols/test_calibrationmodel.py +++ b/tests/protocols/test_calibrationmodel.py @@ -208,7 +208,7 @@ def compare_calibrated_spe(setup_module, spectra, name="calibration"): _units = "cm^{-1}" _units = rf"$\mathrm{{[{_units}]}}$" if _plots: - spe_norm.plot(ax=ax[index + 1], label=f"original {index}", color=crl[index][0]) + spe_norm.plot(ax=ax[index + 1], label=f"original {index}", color=crl[index][0]) spe_c_norm.plot( ax=ax[index + 1], label=f"calibrated {index}", color=crl[index][1] ) From efa88b096019e544425b14d749f20886e393429b Mon Sep 17 00:00:00 2001 From: vedina Date: Sun, 3 Nov 2024 14:45:14 +0200 Subject: [PATCH 33/38] typo --- src/ramanchada2/protocols/calibration/xcalibration.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/ramanchada2/protocols/calibration/xcalibration.py b/src/ramanchada2/protocols/calibration/xcalibration.py index fdda4e20..ec6aa7d4 100644 --- a/src/ramanchada2/protocols/calibration/xcalibration.py +++ b/src/ramanchada2/protocols/calibration/xcalibration.py @@ -21,7 +21,7 @@ class XCalibrationComponent(CalibrationComponent): def __init__(self, laser_wl, spe: Spectrum, ref: Dict[float, float], spe_units: Literal["cm-1", "nm"] = "cm-1", ref_units: Literal["cm-1", "nm"] = "nm", sample="Neon", - match_method: Literal["cluster", "armin2d", "assignment"] = "cluster", + match_method: Literal["cluster", "argmin2d", "assignment"] = "cluster", interpolator_method: Literal["rbf", "pchip", "cubic_spline"] = "rbf", extrapolate=True ): From d746635b1baf1e5c1d7a2c88e58d4d00441459c1 Mon Sep 17 00:00:00 2001 From: vedina Date: Sun, 3 Nov 2024 14:51:26 +0200 Subject: [PATCH 34/38] example notebooks rearranging some notebooks publication taken from notebooks4paper branch --- examples/HDF5_cache.ipynb | 230 ------- examples/fit_spe_composite_model.ipynb | 136 ----- examples/{ => hsds}/hsds_search.ipynb | 0 examples/{ => hsds}/hsdsaccess_example.ipynb | 0 .../{ => hsds}/hsdsprocessing_example.ipynb | 0 examples/{ => legacy}/D3.3_calibration.ipynb | 0 .../{ => legacy}/fit_spe_illustration.ipynb | 36 +- .../legacy/neon_calibration_xcal_fine.ipynb | 163 +++++ examples/{ => legacy}/nexusformat.ipynb | 36 +- examples/{ => legacy}/resample_NUDFT.ipynb | 20 +- .../{ => legacy}/x-axis-calibration.ipynb | 0 examples/{ => legacy}/x-axis-fine-calib.ipynb | 0 examples/match_test.ipynb | 380 ++++++++++++ examples/neon_calibration_xcal_fine.ipynb | 139 ----- examples/publication/HDF5_cache.ipynb | 306 ++++++++++ .../publication/fit_spe_composite_model.ipynb | 270 +++++++++ .../publication/simulation-to-spectrum.ipynb | 150 +++++ ...imulation_experiment_comparison_demo.ipynb | 520 ++++++++++++++++ examples/publication/spectrum_filters.ipynb | 92 +++ .../synthetic-spectrum-generation copy.ipynb | 561 ++++++++++++++++++ .../synthetic-spectrum-generation.ipynb | 561 ++++++++++++++++++ examples/sharpening_peak_candidates.ipynb | 34 +- examples/synthetic-spectrum-generation.ipynb | 327 ---------- 23 files changed, 3088 insertions(+), 873 deletions(-) delete mode 100644 examples/HDF5_cache.ipynb delete mode 100644 examples/fit_spe_composite_model.ipynb rename examples/{ => hsds}/hsds_search.ipynb (100%) rename examples/{ => hsds}/hsdsaccess_example.ipynb (100%) rename examples/{ => hsds}/hsdsprocessing_example.ipynb (100%) rename examples/{ => legacy}/D3.3_calibration.ipynb (100%) rename examples/{ => legacy}/fit_spe_illustration.ipynb (51%) create mode 100644 examples/legacy/neon_calibration_xcal_fine.ipynb rename examples/{ => legacy}/nexusformat.ipynb (76%) rename examples/{ => legacy}/resample_NUDFT.ipynb (67%) rename examples/{ => legacy}/x-axis-calibration.ipynb (100%) rename examples/{ => legacy}/x-axis-fine-calib.ipynb (100%) create mode 100644 examples/match_test.ipynb delete mode 100644 examples/neon_calibration_xcal_fine.ipynb create mode 100644 examples/publication/HDF5_cache.ipynb create mode 100644 examples/publication/fit_spe_composite_model.ipynb create mode 100644 examples/publication/simulation-to-spectrum.ipynb create mode 100644 examples/publication/simulation_experiment_comparison_demo.ipynb create mode 100644 examples/publication/spectrum_filters.ipynb create mode 100644 examples/publication/synthetic-spectrum-generation copy.ipynb create mode 100644 examples/publication/synthetic-spectrum-generation.ipynb delete mode 100644 examples/synthetic-spectrum-generation.ipynb diff --git a/examples/HDF5_cache.ipynb b/examples/HDF5_cache.ipynb deleted file mode 100644 index c5ade812..00000000 --- a/examples/HDF5_cache.ipynb +++ /dev/null @@ -1,230 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "3af0ff4c-bb75-4372-93f3-231d3b3aedda", - "metadata": {}, - "outputs": [], - "source": [ - "from ramanchada2 import spectrum\n", - "from ramanchada2.spectral_components import GaussPeak, SpectralComponentCollection" - ] - }, - { - "cell_type": "markdown", - "id": "56d3a175-d7bc-4e69-aa7c-51def3a886f7", - "metadata": {}, - "source": [ - "# Generate spectrum" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1606b750-5a08-4e98-b6aa-b15bc1fe9fee", - "metadata": {}, - "outputs": [], - "source": [ - "g = GaussPeak(a=1500, x0=150, w=10)\n", - "ax = g.plot(draw='line', label='line')\n", - "g.plot(ax=ax, draw='cross', label='cross')\n", - "ax.legend(loc='upper left')\n", - "g.plot(ax=ax.twinx(), draw='delta', label='delta')\n", - "None" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f6c6bc14-537c-4e84-9e57-1626beb17020", - "metadata": {}, - "outputs": [], - "source": [ - "spe_coll = SpectralComponentCollection([\n", - " GaussPeak(a=1500, x0=250, w=20),\n", - " GaussPeak(a=700, x0=300, w=20),\n", - " GaussPeak(a=700, x0=500, w=30),\n", - "])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a7b78985-7fef-4caf-a954-61c858570d59", - "metadata": {}, - "outputs": [], - "source": [ - "ax = spe_coll.plot(draw='deltas', label='deltas')\n", - "ax1 = ax.twinx()\n", - "spe_coll.plot(ax=ax1, draw='combined line', label='combined line', lw=3)\n", - "spe_coll.plot(ax=ax1, draw='individual lines', label='individual lines')\n", - "spe_coll.plot(ax=ax1, draw='crosses', label='crosses')\n", - "ax.legend(loc='upper left')\n", - "None" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "74ad9487-7136-417c-845b-d9d7c2011480", - "metadata": {}, - "outputs": [], - "source": [ - "spe = spectrum.from_spectral_component_collection(spe_coll, x=800)" - ] - }, - { - "cell_type": "markdown", - "id": "cc0bba7a-5e8a-47f1-a176-acbe440f2a5b", - "metadata": {}, - "source": [ - "# Generate spectrum from SpectralComponentCollection`" - ] - }, - { - "cell_type": "markdown", - "id": "e73fc984-58c1-44c8-ba8e-3b01bda07c6e", - "metadata": {}, - "source": [ - "# Add Poisson noise to the spectrum" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3fb72332-b564-443c-ab2d-942461b724d5", - "metadata": {}, - "outputs": [], - "source": [ - "spe1 = spe.add_poisson_noise()\n", - "ax = spe1.plot(label='noised spectrum')\n", - "spe.plot(ax=ax, label='original spectrum')\n", - "None" - ] - }, - { - "cell_type": "markdown", - "id": "d79a89a5-3bc3-4c6f-b4ab-6e47125cd4e0", - "metadata": {}, - "source": [ - "# Linear scale" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "64c17833-f098-4316-a5ee-0405b0385587", - "metadata": {}, - "outputs": [], - "source": [ - "spe2 = spe1.scale_xaxis_linear(factor=3, preserve_integral=True)\n", - "ax = spe1.plot(label='original spectrum')\n", - "spe2.plot(ax=ax, label='scaled spectrum')\n", - "None" - ] - }, - { - "cell_type": "markdown", - "id": "666ab9e5-ede9-41ee-a043-6e030e1cfd92", - "metadata": {}, - "source": [ - "# Simple moving average filter" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3ca049cd-3812-4071-ad9f-aecff06bb3d0", - "metadata": {}, - "outputs": [], - "source": [ - "spe3 = spe2.moving_average()\n", - "ax = spe2.plot(label='original spectrum')\n", - "spe3.plot(ax=ax, label='SMA filtered spectrum')\n", - "None" - ] - }, - { - "cell_type": "markdown", - "id": "12b19663-6ead-4653-baf7-37856385e8b2", - "metadata": {}, - "source": [ - "# HDF5 example" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0a2671f3-e0d6-4a65-9e29-6de1b220fd64", - "metadata": {}, - "outputs": [], - "source": [ - "cachefile = 'peak.cha'\n", - "spe1 = spectrum.from_cache_or_calc(cachefile=cachefile, required_steps=[\n", - " {'proc': 'from_delta_lines', 'args': [], 'kwargs': {'nbins': 3000, 'deltas': {200: 100, 600: 50, 1000: 150, 1500: 70}}},\n", - " {'proc': 'convolve', 'args': ['gaussian'], 'kwargs': {'sigma': 5}},\n", - " {'proc': 'normalize', 'args': [], 'kwargs': {}},\n", - " {'proc': 'add_baseline', 'args': [], 'kwargs': {'n_freq': 20, 'pedestal': 0.2, 'amplitude': 0.15}},\n", - " {'proc': 'add_poisson_noise', 'args': [0.002], 'kwargs': {}},\n", - " {'proc': 'normalize', 'args': [], 'kwargs': {}},\n", - " {'proc': 'find_peak_multipeak_filter', 'args': [], 'kwargs': {'prominence': 0.1, 'width': 25}},\n", - " {'proc': 'fit_peaks_filter', 'args': [], 'kwargs': {'profile': 'Gaussian'}},\n", - "])\n", - "spe2 = spectrum.from_cache_or_calc(cachefile=cachefile, required_steps=[\n", - " {'proc': 'from_delta_lines', 'args': [], 'kwargs': {'nbins': 3000, 'deltas': {200: 100, 600: 50, 1000: 150, 1500: 70}}},\n", - " {'proc': 'convolve', 'args': ['gaussian'], 'kwargs': {'sigma': 20}},\n", - " {'proc': 'normalize', 'args': [], 'kwargs': {}},\n", - " {'proc': 'add_baseline', 'args': [], 'kwargs': {'n_freq': 20, 'pedestal': 0.2, 'amplitude': 0.15}},\n", - " {'proc': 'add_poisson_noise', 'args': [0.002], 'kwargs': {}},\n", - " {'proc': 'normalize', 'args': [], 'kwargs': {}},\n", - " {'proc': 'find_peak_multipeak_filter', 'args': [], 'kwargs': {'prominence': 0.1, 'width': 20}},\n", - " {'proc': 'fit_peaks_filter', 'args': [], 'kwargs': {'profile': 'Gaussian'}},\n", - "])\n", - "spe3 = spectrum.from_cache_or_calc(cachefile=cachefile, required_steps=[\n", - " {'proc': 'from_delta_lines', 'args': [], 'kwargs': {'nbins': 3000, 'deltas': {200: 100, 600: 50, 1000: 150, 1500: 70}}},\n", - " {'proc': 'convolve', 'args': ['gaussian'], 'kwargs': {'sigma': 20}},\n", - " {'proc': 'normalize', 'args': [], 'kwargs': {}},\n", - " {'proc': 'add_baseline', 'args': [], 'kwargs': {'n_freq': 20, 'pedestal': 0.2, 'amplitude': 0.15}},\n", - " {'proc': 'add_poisson_noise', 'args': [0.001], 'kwargs': {}},\n", - " {'proc': 'normalize', 'args': [], 'kwargs': {}},\n", - " {'proc': 'find_peak_multipeak_filter', 'args': [], 'kwargs': {'prominence': 0.1, 'width': 20}},\n", - " {'proc': 'fit_peaks_filter', 'args': [], 'kwargs': {'profile': 'Gaussian'}},\n", - "])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "43f95725-f25f-4049-836a-40a9d92b1ee7", - "metadata": {}, - "outputs": [], - "source": [ - "ax = spe1.plot()\n", - "spe2.plot(ax=ax)\n", - "spe3.plot(ax=ax)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "ramanchada2", - "language": "python", - "name": "ramanchada2" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.11" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/examples/fit_spe_composite_model.ipynb b/examples/fit_spe_composite_model.ipynb deleted file mode 100644 index 91c56d5b..00000000 --- a/examples/fit_spe_composite_model.ipynb +++ /dev/null @@ -1,136 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "1881e2b1-44d3-49fe-8cfd-daa600f5b0e7", - "metadata": {}, - "outputs": [], - "source": [ - "import ramanchada2 as rc2\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5446ea3b-5498-455a-9ad1-74a9020f0789", - "metadata": {}, - "outputs": [], - "source": [ - "spe = rc2.spectrum.from_test_spe(sample=['PST'], provider=['FNMT'], OP=['01'], laser_wl=['785'])\n", - "spe = spe.normalize()\n", - "spe.plot()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "58cbe255-120d-4727-b823-593c618dc66e", - "metadata": {}, - "outputs": [], - "source": [ - "kw_sharpening = dict(filter_fraction=1, sig_width=.4, der2_factor=0, der4_factor=.1)\n", - "sharpened = spe.subtract_moving_minimum(60).normalize().derivative_sharpening(**kw_sharpening)\n", - "\n", - "fig, ax = plt.subplots(ncols=2, figsize=(12, 8))\n", - "for a in ax:\n", - " spe.plot(ax=a, label='spe')\n", - " sharpened.plot(ax=a, label='sharpened')\n", - "ax[0].set_xlim(900, 1300)\n", - "ax[1].set_xlim(1500, 1700)\n", - "ax[1].set_ylim(-.1, .5)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "96b06285-0663-4c1d-8b56-a22ece184c8c", - "metadata": {}, - "outputs": [], - "source": [ - "peak_candidates = spe.find_peak_multipeak(sharpening='hht', strategy='topo')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3d2ebc2d-8c1d-4aae-9014-e919a96e7b6d", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots(figsize=(12, 8))\n", - "peak_candidates.plot(ax=ax.twinx())\n", - "spe.plot(ax=ax)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "415f10e0-b004-49e6-bd49-01faf4dcfd52", - "metadata": {}, - "outputs": [], - "source": [ - "fitres = spe.fit_peak_multimodel(profile='Moffat', candidates=peak_candidates, no_fit=True)\n", - "fig, ax = plt.subplots(figsize=(12, 8))\n", - "fitres.plot(ax=ax, individual_peaks=False)\n", - "spe.plot(ax=ax)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "03268cf5-2e46-464c-9d8b-7b42df41b0c6", - "metadata": {}, - "outputs": [], - "source": [ - "fitres = spe.fit_peak_multimodel(profile='Moffat', candidates=peak_candidates, no_fit=False)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "7edf697c-455b-4927-aeab-a00e4c55e063", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots(figsize=(12, 8))\n", - "fitres.plot(ax=ax, individual_peaks=False)\n", - "spe.plot(ax=ax)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b1c6d19a-41f8-498e-888e-a5340ddf6888", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots(figsize=(12, 8))\n", - "fitres.plot(ax=ax, individual_peaks=True)\n", - "spe.plot(ax=ax)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "ramanchada2", - "language": "python", - "name": "ramanchada2" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.11" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/examples/hsds_search.ipynb b/examples/hsds/hsds_search.ipynb similarity index 100% rename from examples/hsds_search.ipynb rename to examples/hsds/hsds_search.ipynb diff --git a/examples/hsdsaccess_example.ipynb b/examples/hsds/hsdsaccess_example.ipynb similarity index 100% rename from examples/hsdsaccess_example.ipynb rename to examples/hsds/hsdsaccess_example.ipynb diff --git a/examples/hsdsprocessing_example.ipynb b/examples/hsds/hsdsprocessing_example.ipynb similarity index 100% rename from examples/hsdsprocessing_example.ipynb rename to examples/hsds/hsdsprocessing_example.ipynb diff --git a/examples/D3.3_calibration.ipynb b/examples/legacy/D3.3_calibration.ipynb similarity index 100% rename from examples/D3.3_calibration.ipynb rename to examples/legacy/D3.3_calibration.ipynb diff --git a/examples/fit_spe_illustration.ipynb b/examples/legacy/fit_spe_illustration.ipynb similarity index 51% rename from examples/fit_spe_illustration.ipynb rename to examples/legacy/fit_spe_illustration.ipynb index 60b50e8b..dc4c6b11 100644 --- a/examples/fit_spe_illustration.ipynb +++ b/examples/legacy/fit_spe_illustration.ipynb @@ -12,7 +12,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "4786355d-0a38-4455-be9e-88d44b27ee31", "metadata": {}, "outputs": [], @@ -30,7 +30,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "f69d0997-504d-4a03-a5f7-7a6380e11829", "metadata": {}, "outputs": [], @@ -51,12 +51,36 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "b4a0124e-1e49-458a-b41c-1fc69cfd578a", "metadata": { "tags": [] }, - "outputs": [], + "outputs": [ + { + "ename": "FileNotFoundError", + "evalue": "[Errno 2] No such file or directory: '/data/RamanSpe/ICV-CSIC/iRPlus/785 nm/nCAL/nCAL02_iRPlus785_Z050_100_2100ms.txt'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\spectrum\\creators\\from_local_file.py:81\u001b[0m, in \u001b[0;36mfrom_local_file\u001b[1;34m(in_file_name, filetype, backend)\u001b[0m\n\u001b[0;32m 80\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m---> 81\u001b[0m spe \u001b[38;5;241m=\u001b[39m \u001b[43mload_native\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 82\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m:\n", + "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\spectrum\\creators\\from_local_file.py:48\u001b[0m, in \u001b[0;36mfrom_local_file..load_native\u001b[1;34m()\u001b[0m\n\u001b[0;32m 47\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ft \u001b[38;5;129;01min\u001b[39;00m {\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtxt\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtxtr\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprn\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrruf\u001b[39m\u001b[38;5;124m'\u001b[39m}:\n\u001b[1;32m---> 48\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43min_file_name\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m fp:\n\u001b[0;32m 49\u001b[0m x, y, meta \u001b[38;5;241m=\u001b[39m read_txt(fp)\n", + "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/data/RamanSpe/ICV-CSIC/iRPlus/785 nm/nCAL/nCAL02_iRPlus785_Z050_100_2100ms.txt'", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[6], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m spe \u001b[38;5;241m=\u001b[39m \u001b[43mspectrum\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_local_file\u001b[49m\u001b[43m(\u001b[49m\u001b[43mexp_spe_fn\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 2\u001b[0m spe \u001b[38;5;241m=\u001b[39m spe\u001b[38;5;241m.\u001b[39mnormalize()\n\u001b[0;32m 3\u001b[0m fig, ax \u001b[38;5;241m=\u001b[39m plt_fig_ax()\n", + "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\misc\\spectrum_deco\\spectrum_constructor.py:15\u001b[0m, in \u001b[0;36madd_spectrum_constructor.__call__..retf\u001b[1;34m(cachefile_, *args, **kwargs)\u001b[0m\n\u001b[0;32m 13\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(fun)\n\u001b[0;32m 14\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mretf\u001b[39m(\u001b[38;5;241m*\u001b[39margs, cachefile_\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Spectrum:\n\u001b[1;32m---> 15\u001b[0m spe \u001b[38;5;241m=\u001b[39m \u001b[43mfun\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 16\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mset_proc:\n\u001b[0;32m 17\u001b[0m spe\u001b[38;5;241m.\u001b[39m_applied_processings\u001b[38;5;241m.\u001b[39massign(proc\u001b[38;5;241m=\u001b[39mfun\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m, args\u001b[38;5;241m=\u001b[39margs, kwargs\u001b[38;5;241m=\u001b[39mkwargs)\n", + "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\pydantic\\validate_call_decorator.py:60\u001b[0m, in \u001b[0;36mvalidate_call..validate..wrapper_function\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 58\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mwraps(function)\n\u001b[0;32m 59\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwrapper_function\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m---> 60\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mvalidate_call_wrapper\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\pydantic\\_internal\\_validate_call.py:96\u001b[0m, in \u001b[0;36mValidateCallWrapper.__call__\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 95\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs: Any, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: Any) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Any:\n\u001b[1;32m---> 96\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m__pydantic_validator__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalidate_python\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpydantic_core\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mArgsKwargs\u001b[49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 97\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__return_pydantic_validator__:\n\u001b[0;32m 98\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__return_pydantic_validator__(res)\n", + "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\spectrum\\creators\\from_local_file.py:83\u001b[0m, in \u001b[0;36mfrom_local_file\u001b[1;34m(in_file_name, filetype, backend)\u001b[0m\n\u001b[0;32m 81\u001b[0m spe \u001b[38;5;241m=\u001b[39m load_native()\n\u001b[0;32m 82\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m:\n\u001b[1;32m---> 83\u001b[0m spe \u001b[38;5;241m=\u001b[39m \u001b[43mload_rc1\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 84\u001b[0m spe\u001b[38;5;241m.\u001b[39m_sort_x()\n\u001b[0;32m 85\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m spe\n", + "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\spectrum\\creators\\from_local_file.py:71\u001b[0m, in \u001b[0;36mfrom_local_file..load_rc1\u001b[1;34m()\u001b[0m\n\u001b[0;32m 70\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mload_rc1\u001b[39m():\n\u001b[1;32m---> 71\u001b[0m x, y, meta \u001b[38;5;241m=\u001b[39m \u001b[43mrc1_parser\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mparse\u001b[49m\u001b[43m(\u001b[49m\u001b[43min_file_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfiletype\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 72\u001b[0m spe \u001b[38;5;241m=\u001b[39m Spectrum(x\u001b[38;5;241m=\u001b[39mx, y\u001b[38;5;241m=\u001b[39my, metadata\u001b[38;5;241m=\u001b[39mSpeMetadataModel\u001b[38;5;241m.\u001b[39mmodel_validate(meta))\n\u001b[0;32m 73\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m spe\n", + "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\io\\experimental\\rc1_parser\\io.py:36\u001b[0m, in \u001b[0;36mparse\u001b[1;34m(source_path, file_type)\u001b[0m\n\u001b[0;32m 31\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 32\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m UnsupportedFileTypeError(\n\u001b[0;32m 33\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfile type \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfile_type\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m is not supported\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m 34\u001b[0m )\n\u001b[1;32m---> 36\u001b[0m x_data, y_data, metadata \u001b[38;5;241m=\u001b[39m \u001b[43mreader\u001b[49m\u001b[43m(\u001b[49m\u001b[43msource_path\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 37\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m metadata \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m 38\u001b[0m \u001b[38;5;66;03m# Get rid of bytes that are found in some of the formats\u001b[39;00m\n\u001b[0;32m 39\u001b[0m metadata \u001b[38;5;241m=\u001b[39m cleanMeta(metadata)\n", + "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\io\\experimental\\rc1_parser\\txt_format_readers.py:48\u001b[0m, in \u001b[0;36mreadTXT\u001b[1;34m(file, x_col, y_col, verbose)\u001b[0m\n\u001b[0;32m 46\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mreadTXT\u001b[39m(file, x_col\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, y_col\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, verbose\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m):\n\u001b[0;32m 47\u001b[0m \u001b[38;5;66;03m# open .txt and read as lines\u001b[39;00m\n\u001b[1;32m---> 48\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mfile\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m d:\n\u001b[0;32m 49\u001b[0m lines \u001b[38;5;241m=\u001b[39m d\u001b[38;5;241m.\u001b[39mreadlines()\n\u001b[0;32m 50\u001b[0m \u001b[38;5;66;03m# Find data lines and convert to np.array\u001b[39;00m\n", + "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/data/RamanSpe/ICV-CSIC/iRPlus/785 nm/nCAL/nCAL02_iRPlus785_Z050_100_2100ms.txt'" + ] + } + ], "source": [ "spe = spectrum.from_local_file(exp_spe_fn)\n", "spe = spe.normalize()\n", @@ -396,7 +420,7 @@ "kernelspec": { "display_name": "ramanchada2", "language": "python", - "name": "ramanchada2" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -408,7 +432,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.11" + "version": "3.11.10" }, "toc-autonumbering": false, "toc-showcode": false, diff --git a/examples/legacy/neon_calibration_xcal_fine.ipynb b/examples/legacy/neon_calibration_xcal_fine.ipynb new file mode 100644 index 00000000..e2dd7fad --- /dev/null +++ b/examples/legacy/neon_calibration_xcal_fine.ipynb @@ -0,0 +1,163 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "51ac466b-8823-4bfb-8c3d-d2d28ea9ce4d", + "metadata": {}, + "outputs": [], + "source": [ + "import ramanchada2 as rc2\n", + "import ramanchada2.misc.constants as rc2const\n", + "import ramanchada2.misc.utils as rc2utils\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "f21a6319-405e-4211-b97a-95b098b7d13d", + "metadata": {}, + "outputs": [], + "source": [ + "def diff(spe, ref_pos):\n", + " ss = spe.subtract_moving_minimum(40)\n", + " kw = dict(sharpening=None, hht_chain=[100])\n", + " cand = ss.find_peak_multipeak(**kw)\n", + " kw = dict(profile='Gaussian')\n", + " fit_res = spe.fit_peak_multimodel(candidates=cand, **kw)\n", + "\n", + " spe_pos, spe_pos_err = fit_res.centers_err.T\n", + "\n", + " spe_pos_match_idx, ref_pos_match_idx = rc2utils.find_closest_pairs_idx(spe_pos, ref_pos)\n", + " spe_pos_match = spe_pos[spe_pos_match_idx]\n", + " ref_pos_match = ref_pos[ref_pos_match_idx]\n", + " return ref_pos_match, (spe_pos_match-ref_pos_match), spe_pos_err[spe_pos_match_idx]" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "b1bbe125-d2bb-47d5-9aeb-f37812b24a8e", + "metadata": {}, + "outputs": [ + { + "ename": "FileNotFoundError", + "evalue": "[Errno 2] No such file or directory: 'data/2 - Full Data sets/FMNT-M_Ho785/NeonSNQ043_iR785_OP03.txt'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\spectrum\\creators\\from_local_file.py:81\u001b[0m, in \u001b[0;36mfrom_local_file\u001b[1;34m(in_file_name, filetype, backend)\u001b[0m\n\u001b[0;32m 80\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m---> 81\u001b[0m spe \u001b[38;5;241m=\u001b[39m \u001b[43mload_native\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 82\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m:\n", + "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\spectrum\\creators\\from_local_file.py:48\u001b[0m, in \u001b[0;36mfrom_local_file..load_native\u001b[1;34m()\u001b[0m\n\u001b[0;32m 47\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ft \u001b[38;5;129;01min\u001b[39;00m {\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtxt\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtxtr\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprn\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrruf\u001b[39m\u001b[38;5;124m'\u001b[39m}:\n\u001b[1;32m---> 48\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43min_file_name\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m fp:\n\u001b[0;32m 49\u001b[0m x, y, meta \u001b[38;5;241m=\u001b[39m read_txt(fp)\n", + "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'data/2 - Full Data sets/FMNT-M_Ho785/NeonSNQ043_iR785_OP03.txt'", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[3], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m spe_nocalib \u001b[38;5;241m=\u001b[39m \u001b[43mrc2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mspectrum\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_local_file\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mdata/2 - Full Data sets/FMNT-M_Ho785/NeonSNQ043_iR785_OP03.txt\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfiletype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtxt\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\misc\\spectrum_deco\\spectrum_constructor.py:15\u001b[0m, in \u001b[0;36madd_spectrum_constructor.__call__..retf\u001b[1;34m(cachefile_, *args, **kwargs)\u001b[0m\n\u001b[0;32m 13\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(fun)\n\u001b[0;32m 14\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mretf\u001b[39m(\u001b[38;5;241m*\u001b[39margs, cachefile_\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Spectrum:\n\u001b[1;32m---> 15\u001b[0m spe \u001b[38;5;241m=\u001b[39m \u001b[43mfun\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 16\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mset_proc:\n\u001b[0;32m 17\u001b[0m spe\u001b[38;5;241m.\u001b[39m_applied_processings\u001b[38;5;241m.\u001b[39massign(proc\u001b[38;5;241m=\u001b[39mfun\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m, args\u001b[38;5;241m=\u001b[39margs, kwargs\u001b[38;5;241m=\u001b[39mkwargs)\n", + "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\pydantic\\validate_call_decorator.py:60\u001b[0m, in \u001b[0;36mvalidate_call..validate..wrapper_function\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 58\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mwraps(function)\n\u001b[0;32m 59\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwrapper_function\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m---> 60\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mvalidate_call_wrapper\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\pydantic\\_internal\\_validate_call.py:96\u001b[0m, in \u001b[0;36mValidateCallWrapper.__call__\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 95\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs: Any, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: Any) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Any:\n\u001b[1;32m---> 96\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__pydantic_validator__\u001b[38;5;241m.\u001b[39mvalidate_python(pydantic_core\u001b[38;5;241m.\u001b[39mArgsKwargs(args, kwargs))\n\u001b[0;32m 97\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__return_pydantic_validator__:\n\u001b[0;32m 98\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__return_pydantic_validator__(res)\n", + "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\spectrum\\creators\\from_local_file.py:83\u001b[0m, in \u001b[0;36mfrom_local_file\u001b[1;34m(in_file_name, filetype, backend)\u001b[0m\n\u001b[0;32m 81\u001b[0m spe \u001b[38;5;241m=\u001b[39m load_native()\n\u001b[0;32m 82\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m:\n\u001b[1;32m---> 83\u001b[0m spe \u001b[38;5;241m=\u001b[39m \u001b[43mload_rc1\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 84\u001b[0m spe\u001b[38;5;241m.\u001b[39m_sort_x()\n\u001b[0;32m 85\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m spe\n", + "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\spectrum\\creators\\from_local_file.py:71\u001b[0m, in \u001b[0;36mfrom_local_file..load_rc1\u001b[1;34m()\u001b[0m\n\u001b[0;32m 70\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mload_rc1\u001b[39m():\n\u001b[1;32m---> 71\u001b[0m x, y, meta \u001b[38;5;241m=\u001b[39m \u001b[43mrc1_parser\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mparse\u001b[49m\u001b[43m(\u001b[49m\u001b[43min_file_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfiletype\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 72\u001b[0m spe \u001b[38;5;241m=\u001b[39m Spectrum(x\u001b[38;5;241m=\u001b[39mx, y\u001b[38;5;241m=\u001b[39my, metadata\u001b[38;5;241m=\u001b[39mSpeMetadataModel\u001b[38;5;241m.\u001b[39mmodel_validate(meta))\n\u001b[0;32m 73\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m spe\n", + "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\io\\experimental\\rc1_parser\\io.py:36\u001b[0m, in \u001b[0;36mparse\u001b[1;34m(source_path, file_type)\u001b[0m\n\u001b[0;32m 31\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 32\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m UnsupportedFileTypeError(\n\u001b[0;32m 33\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfile type \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfile_type\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m is not supported\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m 34\u001b[0m )\n\u001b[1;32m---> 36\u001b[0m x_data, y_data, metadata \u001b[38;5;241m=\u001b[39m \u001b[43mreader\u001b[49m\u001b[43m(\u001b[49m\u001b[43msource_path\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 37\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m metadata \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m 38\u001b[0m \u001b[38;5;66;03m# Get rid of bytes that are found in some of the formats\u001b[39;00m\n\u001b[0;32m 39\u001b[0m metadata \u001b[38;5;241m=\u001b[39m cleanMeta(metadata)\n", + "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\io\\experimental\\rc1_parser\\txt_format_readers.py:48\u001b[0m, in \u001b[0;36mreadTXT\u001b[1;34m(file, x_col, y_col, verbose)\u001b[0m\n\u001b[0;32m 46\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mreadTXT\u001b[39m(file, x_col\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, y_col\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, verbose\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m):\n\u001b[0;32m 47\u001b[0m \u001b[38;5;66;03m# open .txt and read as lines\u001b[39;00m\n\u001b[1;32m---> 48\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mfile\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m d:\n\u001b[0;32m 49\u001b[0m lines \u001b[38;5;241m=\u001b[39m d\u001b[38;5;241m.\u001b[39mreadlines()\n\u001b[0;32m 50\u001b[0m \u001b[38;5;66;03m# Find data lines and convert to np.array\u001b[39;00m\n", + "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'data/2 - Full Data sets/FMNT-M_Ho785/NeonSNQ043_iR785_OP03.txt'" + ] + } + ], + "source": [ + "spe_nocalib = rc2.spectrum.from_local_file('data/2 - Full Data sets/FMNT-M_Ho785/NeonSNQ043_iR785_OP03.txt', filetype='txt')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "39107e52-d74b-4eac-ad16-fabee3b00175", + "metadata": {}, + "outputs": [], + "source": [ + "neon_pos_wl_dict = rc2const.neon_wl_spe[785].fit_peak_positions(center_err_threshold=.1)\n", + "neon_pos_wl = np.array(list(neon_pos_wl_dict.keys()))\n", + "\n", + "neon_pos_rs_dict = rc2utils.abs_nm_to_shift_cm_1_dict(neon_pos_wl_dict, 785)\n", + "neon_pos_rs = np.array(list(neon_pos_rs_dict.keys()))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "211cf6a0-1f7f-4f6b-a0f9-06bb6e084e79", + "metadata": {}, + "outputs": [], + "source": [ + "spe_cal = [spe_nocalib.shift_cm_1_to_abs_nm_filter(785)]\n", + "for _ in range(10):\n", + " spe_cal.append(spe_cal[-1].xcal_fine(ref=neon_pos_wl_dict , poly_order=3))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "44fb6c34-6259-46f0-8baa-89484eb5cbf2", + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots(figsize=(8, 5), nrows=1, sharex=True, tight_layout=True)\n", + "\n", + "ax.axhline(0)\n", + "ax.set_title('FMNT-M_Ho785/NeonSNQ043_iR785_OP03')\n", + "ax.set_xlabel('Raman shift [cm$^{-1}$]')\n", + "ax.set_ylabel('Δ shift [cm$^{-1}$]')\n", + "\n", + "for spe_i, spe in enumerate(spe_cal):\n", + " ax.errorbar(*diff(spe.abs_nm_to_shift_cm_1_filter(785), neon_pos_rs), fmt='.:', label=spe_i)\n", + "ax.legend()\n", + "ax.grid()\n", + "ax.set_ylim(-8, 15)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3db9e44b-786b-449d-8cfb-496dfd4ed05b", + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots(figsize=(8, 5), nrows=1, sharex=True, tight_layout=True)\n", + "\n", + "ax.axhline(0)\n", + "ax.set_title('FMNT-M_Ho785/NeonSNQ043_iR785_OP03')\n", + "ax.set_xlabel('Raman shift [cm$^{-1}$]')\n", + "rc2const.neon_rs_spe[785].plot(ax=ax.twinx(), fmt='r:')\n", + "for spe_i, spe in enumerate(spe_cal):\n", + " spe.abs_nm_to_shift_cm_1_filter(785).plot(ax=ax, fmt=':', label=spe_i)\n", + "\n", + "ax.set_xlim(200, 2000)\n", + "ax.legend()\n", + "ax.grid()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "ramanchada2", + "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": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/nexusformat.ipynb b/examples/legacy/nexusformat.ipynb similarity index 76% rename from examples/nexusformat.ipynb rename to examples/legacy/nexusformat.ipynb index eb36e6fc..5e5e89c9 100644 --- a/examples/nexusformat.ipynb +++ b/examples/legacy/nexusformat.ipynb @@ -18,7 +18,7 @@ { "data": { "text/plain": [ - "SpeMetadataModel(__root__={'Original file': SpeMetadataFieldModel(__root__='PST10_iR785_OP03_8000msx2.txt')})" + "SpeMetadataModel(root={'@axes': SpeMetadataFieldModel(root=['']), '@signal': SpeMetadataFieldModel(root=''), 'Original file': SpeMetadataFieldModel(root='PST10_iR785_OP03_8000msx2.txt')})" ] }, "execution_count": 2, @@ -38,31 +38,15 @@ "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "{ 'assay_uuid': None,\n", - " 'citation': Citation(year='2022', title='Round Robin 1', owner='FNMT'),\n", - " 'effects': [ EffectArray(endpoint='Raman spectrum', endpointtype=None, result=None, conditions=None, idresult=None, endpointGroup=None, endpointSynonyms=None, sampleID=None, signal=ValueArray(unit=None, values=array([1354.36, 1355.04, 1349.8 , ..., 1031.89, 1031.96, 1031.44]), errQualifier=None, errorValue=None), axes={'x': ValueArray(unit='cm-1', values=array([ 120.111, 120.505, 120.899, ..., 2499.82 , 2499.94 , 2499.98 ]), errQualifier=None, errorValue=None)})],\n", - " 'interpretationCriteria': None,\n", - " 'interpretationResult': None,\n", - " 'investigation_uuid': None,\n", - " 'owner': SampleLink(substance=Sample(uuid='PST'), company=Company(uuid=None, name='Default company')),\n", - " 'parameters': {'E.method': 'Raman spectrometry', 'wavelength': 785},\n", - " 'protocol': Protocol(topcategory='P-CHEM', category=EndpointCategory(code='ANALYTICAL_METHODS_SECTION', term=None, title=None), endpoint=None, guideline=None),\n", - " 'updated': None,\n", - " 'uuid': 'cbf04397-9352-4382-89e1-81be6d99f473'}\n" + "ename": "ModuleNotFoundError", + "evalue": "No module named 'pynanomapper'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[3], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mpynanomapper\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdatamodel\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mambit\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mmx\u001b[39;00m\n\u001b[0;32m 2\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mnumpy\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mnp\u001b[39;00m\n\u001b[0;32m 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtyping\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Dict, Optional, Union, List\n", + "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'pynanomapper'" ] - }, - { - "data": { - "text/plain": [ - "NXroot('spectrum')" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" } ], "source": [ @@ -206,7 +190,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.0" + "version": "3.11.10" }, "orig_nbformat": 4 }, diff --git a/examples/resample_NUDFT.ipynb b/examples/legacy/resample_NUDFT.ipynb similarity index 67% rename from examples/resample_NUDFT.ipynb rename to examples/legacy/resample_NUDFT.ipynb index e818e067..219a8597 100644 --- a/examples/resample_NUDFT.ipynb +++ b/examples/legacy/resample_NUDFT.ipynb @@ -2,10 +2,22 @@ "cells": [ { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "cd562e77-bd1b-45f6-9912-a8a3e2524458", "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'nfft'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[1], line 5\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mscipy\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m signal, fft\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpyplot\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mplt\u001b[39;00m\n\u001b[1;32m----> 5\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mnfft\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m nfft\n\u001b[0;32m 6\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mscipy\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01minterpolate\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m CubicSpline\n\u001b[0;32m 8\u001b[0m x \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marange(\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m10\u001b[39m)\n", + "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'nfft'" + ] + } + ], "source": [ "import ramanchada2 as rc2\n", "import numpy as np\n", @@ -97,7 +109,7 @@ "kernelspec": { "display_name": "ramanchada2", "language": "python", - "name": "ramanchada2" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -109,7 +121,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.4" + "version": "3.11.10" } }, "nbformat": 4, diff --git a/examples/x-axis-calibration.ipynb b/examples/legacy/x-axis-calibration.ipynb similarity index 100% rename from examples/x-axis-calibration.ipynb rename to examples/legacy/x-axis-calibration.ipynb diff --git a/examples/x-axis-fine-calib.ipynb b/examples/legacy/x-axis-fine-calib.ipynb similarity index 100% rename from examples/x-axis-fine-calib.ipynb rename to examples/legacy/x-axis-fine-calib.ipynb diff --git a/examples/match_test.ipynb b/examples/match_test.ipynb new file mode 100644 index 00000000..e3ccf349 --- /dev/null +++ b/examples/match_test.ipynb @@ -0,0 +1,380 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Wavelength Intensity Source intensity4cluster Cluster\n", + "5 3.0 0.109300 spe 0.027325 0\n", + "17 3.0 0.948271 reference 0.237068 0\n", + " Wavelength Intensity Source intensity4cluster Cluster\n", + "7 7.0 0.580010 spe 0.145002 1\n", + "8 7.1 0.950949 spe 0.237737 1\n", + "21 7.0 1.000000 reference 0.250000 1\n", + " Wavelength Intensity Source intensity4cluster Cluster\n", + "6 6.0 0.333366 spe 0.083341 3\n", + "20 6.0 0.306955 reference 0.076739 3\n", + " Wavelength Intensity Source intensity4cluster Cluster\n", + "1 1.45 0.129761 spe 0.032440 4\n", + "2 1.50 0.844274 spe 0.211069 4\n", + "14 1.50 0.216594 reference 0.054148 4\n", + "15 1.75 0.450306 reference 0.112577 4\n", + " Wavelength Intensity Source intensity4cluster Cluster\n", + "3 2.0 0.614140 spe 0.153535 11\n", + "4 2.5 0.953314 spe 0.238328 11\n", + "16 2.0 0.000000 reference 0.000000 11\n", + " Wavelength Intensity Source intensity4cluster Cluster\n", + "0 1.0 1.000000 spe 0.250000 12\n", + "13 1.0 0.052084 reference 0.013021 12\n", + "[1. 1.45 2. 3. 6. 7.1 ] [1. 1.5 2. 3. 6. 7. ]\n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'locations 2')" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from scipy.optimize import linear_sum_assignment\n", + "\n", + "import ramanchada2 as rc2\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "x = np.array([1, 1.45, 1.5, 2, 2.5, 3, 6, 7, 7.1, 9, 10, 11, 12])\n", + "y = np.array([1, 1.5, 1.75, 2, 3, 4, 5, 6, 7, 8.])\n", + "\n", + "lsa_x_idx, lsa_y_idx = np.array(linear_sum_assignment(np.abs(np.subtract.outer(x, y))))\n", + "gg_x_idx, gg_y_idx = rc2.misc.utils.find_closest_pairs_idx(x, y)\n", + "\n", + "xdict = dict(zip(x, np.ones_like(x)))\n", + "ydict = dict(zip(y, np.ones_like(y)))\n", + "# equal y axis causes ValueError: Input X contains NaN.\n", + "# so random number values are set\n", + "xdict = dict(zip(x, 10*np.random.uniform(size=len(x))))\n", + "ydict = dict(zip(y, np.random.uniform(size=len(x))))\n", + "\n", + "xcluster, ycluster, distances, df = rc2.misc.utils.match_peaks_cluster(xdict, ydict)\n", + "print(xcluster, ycluster)\n", + "\n", + "line_kw = dict(alpha=.5)\n", + "for i in x:\n", + " plt.axvline(i, **line_kw)\n", + " \n", + "for i in y:\n", + " plt.axhline(i, **line_kw)\n", + "\n", + "point_kw = dict(markersize=10, mew=3, alpha=.8)\n", + "plt.plot(x[lsa_x_idx], y[lsa_y_idx], 'x', label='linear_sum_assignmet', **point_kw)\n", + "plt.plot(x[gg_x_idx], y[gg_y_idx], '+', label='gg argmin2d', **point_kw)\n", + "plt.plot(xcluster, ycluster, 'd', label='cluster', **point_kw)\n", + "plt.legend(loc='lower right')\n", + "plt.xlabel('locations 1')\n", + "plt.ylabel('locations 2')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+b5s0aYJWq+XevXvAf59R//zzDxqNJtdiFYTCQiROglDI2NjYAOTqF9SXvTxR3cvLC4VCoZ93khF/f/80Q25ehampKV999RXXr1/n4cOHrFq1ivr16+uHXeVGfJkpWbJkusTO3t6ep0+f6l/fvn2bq1ev4uzsnOa/cuXKASnDXwB69+5No0aNGDZsGMWKFaNPnz6sWbMm2yRKqVTSoEED/RyJI0eO0KRJExo3boxWq+XkyZNcu3aNiIiIN06cXvxSnPpegTTv93XFxMTkakKf0+ue6sUhbwBhYWE8e/aMRYsWpTvHkCFDMjxHXl0fJycnWrduTevWrenQoQMTJkzgjz/+4Pjx4/zxxx8A+i+35cuXT3e8j48PT548ITY29rX6f/l9Qdqf87CwMOLj4zMsUpFRPMeOHaN169b6eVjOzs76uXwZJU4ZGThwIEFBQfqf+7179xIaGpptKfpX/Qy8d+9eptc0df+LsvsZSG3/8rVSqVRpEpw3FRYWRlxcXKax63Q6goODXyn2Zs2a0aNHDyZPnoyTkxNdunRhyZIl6eYMCkJRJeY4CUIhY2NjQ/Hixfn3339z1D6zpz1arTbHfRpy8Us3Nzf69OlDjx49qFSpEmvWrMHPzy/LuU9vEl9mcyRS74JDyhynKlWqMHv27Azbps5pMDc35/Dhwxw4cIBt27axc+dOVq9eTcuWLdm9e3eW8zEaN27M1KlTSUhI4MiRI3z11VfY2dlRuXJljhw5op9n8qaJU07e7+u4f/8+kZGReHt7v9F5XpTT657q5UptqQnrO++8w6BBgzI8x4vl0yHvrk9GWrVqBcDhw4f1T01z6lV/r3Pzffn7+9OqVSsqVKjA7NmzcXd3R61Ws337dn766ad0Nwoyq6Dn6+tLsWLFWLFiBU2bNmXFihW4urrSunXrLPtPXZ7gypUr+gWUc5MhfwZyW3axpy6CffLkSbZu3cquXbsYOnQos2bN4uTJkzmarycIhZlInAShEOrYsSOLFi3ixIkTNGjQIMu2qXccXx7y9vJd1hfdvn07zV3iO3fuoNPpspyY7uXlleNkLidUKhVVq1bl9u3bPHnyRF+B7HXjexNeXl5cunSJVq1aZZukKRQKWrVqRatWrZg9ezbTpk3jq6++4sCBA1l+IWzSpAlJSUmsWrWKBw8e6BOkpk2b6hOncuXKZThR/0WGTHJflDrRPatqaK/qVa57RpydnbG2tkar1Wb7ZfxV5NY1Tk5OBlKe1MF/hVJu3ryZru2NGzdwcnLSD2Gzt7fPcBhrVr/XWXF2dsbc3Jzbt2+n2/dyPFu3biUxMZEtW7akecLx8tDJ7CiVSvr164efnx8zZsxg06ZNDB8+PNuCD40bN9YP650wYUK27UuXLp3pNU3d/ypS29++fVs/bBRSCoAEBARkWi0wVU5/fpydnbGwsMg0doVCkWUhiqzUr1+f+vXrM3XqVFauXEn//v35+++/GTZs2GudTxAKCzFUTxAKoc8//xxLS0uGDRtGaGhouv3+/v7MnTsXSHlC5eTkpJ8/k+qXX37J9Pyp5XJTzZ8/H0BfZS4jPXr04NKlS2zcuDHdvqzu1N6+fZugoKB02589e8aJEyewt7fH2dn5jeN7E7169eLBgwf8/vvv6fbFx8frh09FRESk21+9enWAbIfC1KtXD5VKxYwZM3BwcKBSpUpASkJ18uRJDh06lKOnTZaWlumGSuW1/fv3M2XKFMqUKUP//v1z7bw5ve6ZUSqV9OjRg/Xr12eY1L9cpjmncusab926FUD/RdvNzY3q1auzdOnSNEnRv//+y+7du3nrrbf027y8vIiMjOTy5cv6bamLv74OpVKJr68vmzZtSvP7eP36dXbt2pWuLaT9vY6MjGTJkiWv3O+AAQN4+vQpI0aMICYmJs18w8xYWFgwfvx4rl+/zvjx4zP8fFmxYoV+YeG33nqL06dPc+LECf3+2NhYFi1ahIeHxyuvH1a7dm2cnZ1ZuHAhSUlJ+u1+fn45WncuNfnNrq1SqaRt27Zs3rw5zTDk0NBQVq5cSePGjfXDFnPq6dOn6a5XTj+jBKEoEE+cBKEQ8vLyYuXKlfTu3RsfHx8GDhxI5cqVSUpK4vjx46xduzbNGkvDhg1j+vTpDBs2jNq1a3P48GFu3bqV6fkDAgLo3Lkz7dq148SJE6xYsYJ+/fpleSf1s88+Y926dbz99tsMHTqUWrVqERERwZYtW1i4cGGmx166dIl+/frRvn17mjRpgoODAw8ePGDp0qU8fPiQOXPmpLuj/DrxvYkBAwawZs0a3n//fQ4cOECjRo3QarXcuHGDNWvW6Neo+fbbbzl8+DAdOnSgdOnSPH78mF9++YWSJUummZieEQsLC2rVqsXJkyf1azhByhOn2NhYYmNjc5Q41apVi9WrVzN27Fjq1KmDlZUVnTp1ypXrALBjxw5u3LhBcnIyoaGh7N+/nz179lC6dGm2bNmSqwt45vS6Z2X69OkcOHCAevXqMXz4cCpWrEhERATnz59n7969GSa72Xmda/zgwQP9GldJSUlcunSJ3377DScnpzTD9H744Qfat29PgwYNePfdd/XlyG1tbdOs79OnTx/Gjx9Pt27dGD16NHFxcfz666+UK1cuXcGLnJo8eTI7d+6kSZMmjBw5kuTkZObPn0+lSpXSJGht27ZFrVbTqVMnfcLz+++/4+LiQkhIyCv1WaNGDSpXrqwvBPLyemaZ+eyzz7h69SqzZs3iwIED9OzZE1dXVx49esSmTZs4ffo0x48fB+CLL75g1apVtG/fntGjR+Pg4MDSpUsJCAhg/fr1KBSvdo9ZpVLx3XffMWLECFq2bEnv3r0JCAhgyZIlOZrjVKtWLQBGjx6Nr68vSqWSPn36ZNj2u+++068NN3LkSExMTPjtt99ITEzMcL257CxdupRffvmFbt264eXlRXR0NL///js2NjZpEnNBKLKMUcpPEATDuHXrljx8+HDZw8NDVqvVsrW1tdyoUSN5/vz5ckJCgr5dXFyc/O6778q2traytbW13KtXL/nx48eZliO/du2a3LNnT9na2lq2t7eXP/zwQzk+Pj5N3y+X+5ZlWQ4PD5c//PBDuUSJErJarZZLliwpDxo0KF3J5ReFhobK06dPl5s1aya7ubnJJiYmsr29vdyyZUt53bp1adq+SXyZlSPPqDR2RqWek5KS5BkzZsiVKlWSTU1NZXt7e7lWrVry5MmT5cjISFmWZXnfvn1yly5d5OLFi8tqtVouXry43LdvX/nWrVuZvv8XffbZZzIgz5gxI812b29vGUhTkjiz9xQTEyP369dPtrOzkwH9+0htu3bt2jTnyKpc/YtSyx2n/qdWq2VXV1e5TZs28ty5c+WoqKh0x7xpOXJZztl1l+WUMs6jRo3KMPbQ0FB51KhRsru7u6xSqWRXV1e5VatW8qJFi/RtXuX6ZHaNM/NyOXKFQiG7uLjIffv2TVMiPNXevXvlRo0ayebm5rKNjY3cqVMn+dq1a+na7d69W65cubKsVqvl8uXLyytWrMi0HHlG1yaj3+FDhw7JtWrVktVqtezp6SkvXLgww3Nu2bJFrlq1qmxmZiZ7eHjIM2bMkBcvXiwDckBAQJo+Mvp3fdHMmTNlQJ42bVqW7TKybt06uW3btrKDg4NsYmIiu7m5yb1795YPHjyYpp2/v7/cs2dP2c7OTjYzM5Pr1q0r//PPP2navOrvyC+//CKXKVNGNjU1lWvXri0fPnxYbtasWbblyJOTk+WPPvpIdnZ2liVJSnNtX/5MlmVZPn/+vOzr6ytbWVnJFhYWcosWLeTjx4+naZPZcgEvf0acP39e7tu3r1yqVCnZ1NRUdnFxkTt27CifPXs2s0ssCEWKJMsFYDajIAhCDkyaNInJkycTFhaW6YK6giAULHPnzmXMmDEEBgZmWP1PEATBUMQcJ0EQBEEQ8iVZlvnzzz9p1qyZSJoEQTA6McdJEARBEIR8JTY2li1btnDgwAGuXLnC5s2bjR2SIAiCSJwEQRAEQchfwsLC6NevH3Z2dkyYMIHOnTsbOyRBEATEHCdBEARBEARBEIRsiDlOgiAIgiAIgiAI2RCJkyAIgiAIgiAIQjaK3BwnnU7Hw4cPsba21i8gKQiCIAiCIAhC0SPLMtHR0RQvXjzbBa+LXOL08OFD3N3djR2GIAiCIAiCIAj5RHBwMCVLlsyyTZFLnKytrYGUi2NjY2PkaECj0bB7927atm2LSqUydjiFjri+eUtc37wlrm/eEtc3b4nrm7fE9c1b4vrmrfx0faOionB3d9fnCFkpcolT6vA8GxubfJM4WVhYYGNjY/QfnMJIXN+8Ja5v3hLXN2+J65u3xPXNW+L65i1xffNWfry+OZnCI4pDCIIgCIIgCIIgZEMkToIgCIIgCIIgCNkQiZMgCIIgCIIgCEI2itwcJ0EQBOE/siyTnJyMVqs1digGp9FoMDExISEhoUi+f6VSiYmJiViaQxAEIYdE4iQIglBEJSUlERISQlxcnLFDMQpZlnF1dSU4OLjIJg8WFha4ubmhVquNHYogCEK+JxInQRCEIkin0xEQEIBSqaR48eKo1eoilzzodDpiYmKwsrLKdtHDwkaWZZKSkggLCyMgIICyZcsWuWsgCILwqkTiJAiCUAQlJSWh0+lwd3fHwsLC2OEYhU6nIykpCTMzsyKZNJibm6NSqbh3757+OgiCIAiZK3p/KQRBEAS9opgwCP8R//6CIAg5Z9RPzMOHD9OpUyeKFy+OJEls2rQpy/YbNmygTZs2ODs7Y2NjQ4MGDdi1a5dhghUEQRAEQRAEocgyauIUGxtLtWrVWLBgQY7aHz58mDZt2rB9+3bOnTtHixYt6NSpExcuXMjjSAVBEARBEARBKMqMOsepffv2tG/fPsft58yZk+b1tGnT2Lx5M1u3bqVGjRq5HJ0gCIIgvD5Jkti4cSNdu3Y1diiCIAhCLijQxSF0Oh3R0dE4ODhk2iYxMZHExET966ioKCBl/Q6NRpPnMWYnNYb8EEthJK5v3hLXN2/l5fXVaDTIsoxOp0On0+X6+fPSkCFDWLZsGdOmTWP8+PH67Zs2baJHjx45XpPJ09OTESNG8Pnnn+fZNcjr6ztkyBCePXvGxo0bX+t4nU6HLMtoNBqUSmWuxiY+H/KWuL55S1zfvJWfru+rxFCgE6cff/yRmJgYevXqlWmb77//nsmTJ6fbvnv37nxVSWrPnj3GDqFQE9c3b4nrm7fy4vqamJjg6upKTEwMSUlJuX7+vKTRaDAzM2PGjBn07dsXOzs7AOLj44H/bpBlJzWhiY6OzpM4U2PKaTyvQ6PRkJyc/Np9JCUlER8fz+HDh0lOTs7l6FKIz4e8Ja5v3hLXN2/lh+v7KmsZFtjEaeXKlUyePJnNmzfj4uKSabsvv/ySsWPH6l9HRUXh7u5O27ZtsbGxMUSoWdJoNOzZs4c2bdqgUqmMHU6hI65v3hLXN2/l5fVNSEggODgYKysrfRlqWZaJ1+TsaU1uMlcpX2kNKZVKRatWrfD392fBggXMmDEj5Tzm5gD6z/b169czadIk7ty5g5ubGx9++KH+70HLli0JDg5mwoQJTJgwASDTJ1X+/v58+umnnDp1itjYWHx8fJg6dSqtW7fO/r2Zm+vjmTRpEr///js7duygatWqeHp6Mnz4cO7cucO6deuwt7dnwoQJvPfee/rjr1y5wpgxYzhx4gQWFhZ0796dWbNmYWVlxeTJk1m1ahUA9vb2AOzbt4/mzZvn+FomJCRgbm5O06ZNc70cufh8yFvi+uYtcX3zVn66vq9y46lAJk5///03w4YNY+3atdn+4TI1NcXU1DTddpVKZfR/qBflt3gKG3F985a4vnkrL66vVqtFkiQUCoW+JHVcUjKVJxn+7t+1b32xUOd8mJgkSZiYmDBt2jT69evHxx9/TMmSJfXvQ6FQcO7cOfr06cOkSZPo3bs3x48fZ+TIkTg5OTF48GA2bNhAtWrVGDhwIKNGjUpzHV4WFxdHhw4dmDZtGqampixbtowuXbpw8+ZNSpUqlWWsCoUCSZIYPXo0//zzD0eOHMHb21u/f/bs2UyZMoWvvvqKdevWMWrUKFq0aEH58uWJjY2lffv2NGjQgDNnzvD48WOGDRvG6NGj8fPz47PPPuPGjRtERUWxZMkSABwcHF6pxHhqfHn5Oyw+H/KWuL55S1zfvJUfru+r9F/gFnBYtWoVQ4YMYdWqVXTo0MHY4QiCIAhG0q1bN6pXr87EiRPT7Zs9ezatWrXi66+/ply5cgwePJgPP/yQH374AUhJMJRKJVZWVri6uuLq6pppP9WqVWPEiBFUrlyZsmXLMmXKFLy8vNiyZUu2MSYnJ/POO++wb98+jh49miZpAnjrrbcYOXIk3t7ejB8/HicnJw4cOACkjKxISEhg2bJlVK5cmZYtW/Lzzz+zfPlyQkNDsbKywtzcHFNTU/17UKvVr3IJBUEQhFdg1CdOMTEx3LlzR/86ICCAixcv4uDgQKlSpfjyyy958OABy5YtA1L+iAwaNIi5c+dSr149Hj16BKQMhbC1tTXKexCEx9EJXAqORKuTn2+R0+xXKRXUKm2PnYX4QiPkb+YqJde+9TVKv69rxowZtGzZknHjxqXZfv36dbp06ZJmW6NGjZgzZw5arTbTQghWVlb6///OO++wcOFCYmJimDRpEtu2bSMkJITk5GTi4+MJCgoCUiq8Tps2TX/ctWvX9E+ixowZg6mpKSdPnsTJySldf1WrVtX/f0mScHV15fHjx/r3UK1aNSwtLdO8B51Ox82bNylWrFiOrpEgFCSyLHMtJIrgiJfnnfw3nNfeQkWt0vaYKAvc/X+hgDNq4nT27FlatGihf5069nzQoEH4+fkREhKi/8MEsGjRIpKTkxk1ahSjRo3Sb09tLwiG8iQmkZ3/PmLb5RBOBYSjk7Nur1RI1CvjgG8lV9pULEZxO3PDBCoIr0CSJCzUBWsEd9OmTfH19eXLL79k8ODBb3y+ixcv6v9/6tykcePGsWfPHn788Ue8vb0xNzenZ8+e+qIa77//fpoiRcWLF9f//zZt2rBq1Sp27dpF//790/X38hARSZIKXJVDQXhTyVodZwKfsvvaI3ZfDeXBs/hsj3GwVNOusisdq7hRz9MRpSLn8yQF4XUZ9S9k8+bNkeXMv3G+nAwdPHgwbwMShCyExySy62oo26485IR/2mSpgqs1VqYZ/zo9jUvCPyyW4/7hHPcPZ+KWq1QtaUvbisXwreRK2WLWBnoHglA4TZ8+nerVq1O+fHn9Nh8fH44dO5am3bFjxyhXrpz+aZNarU5XEOLloXSpxw0ePJhu3boBKaMlAgMD9fsdHBwyXRajc+fOdOrUiX79+qFUKunTp0+O35ePjw9+fn7ExsbqnzodO3YMhUKhf68ZvQdBKAgSNFqO3H7CrquP2Hc9lKdx/5WENlMp8HGzQZlJ0Zi7T2KJiE1i5akgVp4KwskqJYnqUKU4dcs4iCRKyDMF69aiIBhBVIKGKVuvseHCgxeG40G1krZ0qOpG+8puuDtkXdr+Xngsu6+GsvvaI87ee8rl+5Fcvh/Jj7tv0by8M5M7V6K0o2WW5xAEIWNVqlShf//+zJs3T7/t008/pU6dOkyZMoXevXtz4sQJfv75Z3755Rd9m9KlS3P8+HEePHiAubl5hkPpAMqWLcuGDRvo1KkTkiTx9ddfv9JToW7durF8+XIGDBiAiYkJPXv2zNFx/fv3Z+LEiQwaNIhJkyYRFhbGRx99xIABA/TD9Dw8PNi1axc3b97E0dERW1tbo0+0FoSsyLLMunP3mb7jBuGx/y2FYGehorVPMdpWLEaTss6YZ1EwJlmr4+TdCLZdeciOfx/xJCaJFSeDWHEyCFcbMyZ2qkj7Km6GeDtCESMSJ0HIwnH/J3y29rJ+2ECVEinJUocq2SdLLyrtaMnwpp4Mb+pJWHQi+66HsuvqI47eecLBm2G0+ekwo5p7M6KZJ2ZvMN9DEIqqb7/9ltWrV+tf16xZkzVr1vDNN98wZcoU3Nzc+Pbbb9MM55s8eTLvvfceZcuWJTExMdMRELNnz2bo0KE0bNgQJycnxo8f/8rrJvXs2ROdTseAAQNQKBR0794922MsLCzYtWsXH3/8MXXq1MHCwoIePXowe/ZsfZvhw4dz8OBBateuTUxMDAcOHHilcuSCYEg3H0Xzv01XOBP4FAA3WzN8K7niW8mVOh45n7NkolTQuKwTjcs68W2XypzwD2fb5RB2Xn3Eo6gEPvjrPN1rlmBS50rYmIkbCULuEYmTIGQgQaPlh103+fNoAAClHCyY3asatT0yHo7zKpytTelTtxR96pbiblgM32y+ytE7T/hp7y02XXzAt10q0aSs8xv3IwiFVUZzWj08PEhMTEyzrUePHvTo0SPT89SvX5+jR49iY2OTZQlvDw8P9u/fn2bbi/NsM/NyItarV680c6FeHO6X6sU5VpDyNO3lvl/k7OzM7t27s41FEIwpNjGZuftu8+fRALQ6GXOVkk9al2Vo4zKo3rDAg0qpoGk5Z5qWc+bbrpWYu/c2Cw/5s+H8A076h/Pj29Vo6J3x02RBeFUicRKEl/z7IJIxqy9y+3EMAP3qleKrt3ywzGQO05vwdLZi+bt1+edyCFP+uUbAk1gG/HmaDlXd+KZjRYrZ5O6ClIIgCIJgKLIss/PfR3z7zzVCIhMAaFfJla87VaREHhRJMjVR8nm7CrSs4MLYNZcIioij3x+nGNqoDJ+3Ky9GdAhvTCROgvBcslbHrwf9mbvvNsk6GWdrU2b2qEqLCi552q8kSXSqVpzm5Z2ZvecWS48Hsu1yCIduhvFNp4r0qu2ep/0LgiAIQm57FpfE2DWX2H8jpby+u4M533aunOd/UwFqeziw4+MmfLftOqtOB7H4WABHbofxU+/qVC4hlq8RXp8ogC8IQHySloGLTzNrzy2SdTLtK7uy65OmBvmAT2VtpmJip0ps/agxNUrZEZOYzOfrLjN7980sq08KgiAIQn5y/2kcPReeYP+Nx6iVCka39GbPmGYG/ZtqaWrC992rsHhwbZysTLn9OIauC46x+eIDg8UgFD4icRKKvKRkHR/8dY7j/uFYmZowu1c1fulfEwdL4yxYW6m4Levfb8jolillkeftv8Nn6y6j0Yq1XQRBEIT87erDSLr9cpw7j2NwszVj84eNGNvWeMPkWlYoxu4xTfGtVIxknczYNZfYey3UKLEIBZ9InIQiTauTGbvmIgdvhmGmUrBkSB261yyJlMnaEYaiUEiMbVue77tXQSHBunP3eXfpWWITk40alyAIgiBk5sjtMHr/dpKw6ETKF7Nmw8iG+LjZGDssHCzV/Nq/Ft1qlECrkxm58jwn/MONHZZQAInESSiyZFnmf5uu8M/lEFRKiYXv1KJOLlTNy01965bi94G1MVcpOXwrjN6LTvA4OsHYYQmCIAhCGhvO32fIkjPEJCZT39OBNe83wM029wtAvC6FQuKHnlVpU7EYSck6hi09w6XgZ8YOSyhgROIkFEmyLPP9jhusOh2MQoI5vWvQvLzhxl6/ilY+xVj1Xn0cLdX8+yCK7r8cxz8sxthhCYIgCAKyLLPgwB3GrrlEsk6mU7XiLB1aF1vz/Ld+kolSwfy+NWjo5UhskpZBS05z81G0scMSChCROAlF0oIDd1h0+C4A07tXpUPV/L3CeHV3O9Z/0BAPRwvuP42nx6/HOXcvwthhCYIgCEWYVifz9eZ/+WHXTQBGNPVkbu/qmJrk37LfZioliwbWprq7Hc/iNAz48xT3wmONHZZQQIjESShylh4P5MfdtwD4XwcfetUpGOW+PZwsWf9BQ6o9/7AftPgM10OijB2WIAiCUATJssyUf66x4mQQkgSTOlXky7d8UCiMO0c4J6xMTfAbUocKrtY8jk7knT9P8ShSDIMXsicSJ6FI2XD+PhO3XAXg41ZlGdbE08gRvRpHK1NWDa9HvTIOxCQmM2TJGUIi440dliAUeIMHD6Zr165vdI6DBw8iSRLPnj0DwM/PDzs7uzeOTRDyoz+PBuB3PBCAOb2rM7hRGeMG9IrsLNQse7cupR0tCI6IZ8Cfp4iITTJ2WEI+JxInoci4+jCS8esvAzCkkQeftC5r5Ihej4XahEUDauPtYsWjqASGLDlDdILG2GEJgsEMHjwYSZKQJAm1Wo23tzfffvstycmvX3Vy7ty5+Pn55V6QQO/evbl161aunlMQ8oPtV0KYuv06AF+95UOX6iWMHNHrcbE2Y8W79XC1MeP24xjGrL4o1k0UsiQSJ6FISEzWMXb1JTRamTYVi/F1h4pGLzn+JmwtVPgNqYOztSk3HkUz8q/zYp0noUhp164dISEh3L59m08//ZRJkybxww8/vPJ5tFotOp0OW1vbXH86ZG5ujotL/iw6Iwiv69y9CD5ZfRFZhkENSjOsScF60vQydwcL/IbWQW2i4NCtMFadDjZ2SEI+JhInoUiYt/8ON0OjcbRUp6yNVADGYGenpL0FiwfVwUKt5MjtJ0zYcEXcKRNyR1Js5v9pEl6hbXz2bV+Tqakprq6ulC5dmg8++IDWrVuzZcsWEhMTGTduHCVKlMDS0pJ69epx8OBB/XGpw+e2bNlC5cqVKVasGEFBQemG6iUmJjJ69GhcXFwwMzOjcePGnDlzJk0M27dvp1y5cpibm9OiRQsCAwPT7M9oqN7WrVupU6cOZmZmODk50a1bt9e+BoJgaHfDYhi29CxJyTpa+xTjm06VCvRNyFQVXG343Lc8AN9tuyaKRQiZMjF2AIKQ1+5Gwe/XAgGY1r0KTlamxg0oF1UpacuCfjV5d+kZ1p67T0l7Cz4uoEMQhXxkWvHM95VtC/3X/vf6B2/QxGXctnRjGLLtv9dzqkDcS4tOTop8/ThfYG5uTnh4OB9++CHXrl3j77//pnjx4mzcuJF27dpx5coVypZN+d2Ii4tjxowZLFq0CFNT0wyfCn3++eesX7+epUuXUrp0aWbOnImvry937tzBwcGB4OBgunfvzqhRo3jvvfc4e/Ysn376aZYxbtu2jW7duvHVV1+xbNkykpKS2L59e668f0HIa09iEhm85AxP4zRUK2nL/L41UBaCm5CphjYqw+5roZwOiGDc2kssH1Lb2CEJ+ZB44iQUarGJyfx1R4ksQ/eaJfCt5GrskHJdiwoufNe1CgA/7b3FunP3jRyRIBiOLMvs3buXXbt2UbVqVZYsWcLatWtp0qQJXl5ejBs3jsaNG7NkyRL9MRqNhl9++YWGDRtStmxZLCws0pwzNjaWX3/9lR9++IH27dtTsWJFfv/9d8zNzfnzzz8B+PXXX/Hy8mLWrFmUL1+e/v37M3jw4CxjnTp1Kn369GHy5Mn4+PhQrVo1vvzyy1y/JoKQ2+KTtAxbepagiDjcHcz5Y1AdzNX5t+T461AoJGa9XQ1LtZIzgU9ZcvyesUMS8iHxxEko1GbuvsWTRAk3WzMmdqpk7HDyTL96pbj/NI5fDvrzxfrLuNqY0bisk7HDEgqqCQ8z3ye99GXpsztZtH3p3twnV14/ppf8888/WFlZodFo0Ol09OvXj549e+Ln50e5cuXStE1MTMTR0VH/Wq1WU7Vq1UyHtvr7+6PRaGjUqJF+m0qlom7duly/njIh/vr169SrVy/NcQ0aNMgy5osXLzJ8+PBXep+CYGxanczHf1/gYvAz7CxU+A2pi7N14Rm58SJ3Bwu+7liRLzZcYfbe24ytbOyIhPxGJE5CoXX4VhgrT6c8fZnerVK+XMU8N41rW54Hz+LZfPEhH/x1ju2jm+DuYJH9gYLwMrWl8dtmo0WLFvz666+o1WqKFy+OiYkJq1evRqlUcu7cOZTKtAmelZWV/v+bm5sjSZLB5wSam5sbtD9ByA1z995i97VQ1CYKfh9YGy9nq+wPKsB613Fn97VQ9t94zF93lAxM1qEq3F8fhFcghuoJhVJknIbP16WUHm/iqqOhl2M2RxR8CoXEzJ5VqVHKjuiEZD7++wLJotKeUEhZWlri7e1NqVKlMDFJuQdYo0YNtFotjx8/xtvbO81/rq45H6br5eWFWq3m2LFj+m0ajYYzZ85QsWJFAHx8fDh9+nSa406ePJnleatWrcq+fftyHIcgGNvJu+HMP5DyVHlGjyrU8XAwckR5T5Ikpnevgp25ivuxEr8cumvskIR8RCROQqE0ccu/PIpKoIyjBZ1LFZ3kwdREybw+NbA2NeF80DPm7btt7JAEwWDKlStH//79GThwIBs2bCAgIIDTp0/z/fffs23btuxP8JylpSUffPABn332GTt37uTatWsMHz6cuLg43n33XQDef/99bt++zWeffcbNmzdZuXJltutATZw4kVWrVjFx4kSuX7/OlStXmDFjxpu8ZUHIM09jk56vawRv1ypJtxoljR2SwbjYmDG5kw8ACw8HcDH4mXEDEvINkTgJhc6OKyFsuvgQhQQzelSmkM1fzZa7gwXTuqcUi5h/4A4n74Znc4QgFB5Llixh4MCBfPrpp5QvX56uXbty5swZSpUq9UrnmT59Oj169GDAgAHUrFmTO3fusGvXLuzt7QEoVaoU69evZ9OmTVSrVo2FCxcybdq0LM/ZvHlz1q5dy5YtW6hevTotW7ZM99RKEPIDWZYZv/4yIZEJeDpZMqlz4Z0jnJm3qrhS01GHViczds1FEjRaY4ck5AMicRIKlWdxSXy16V8APmjuRQ13O+MGZCSdqhXn7VolkWUYs/oiT2OTjB2SIOQaPz8/Nm3alOE+lUrF5MmTCQgIICkpiYcPH7JhwwaqVEm5mTB48GCePXuW7TnNzMyYN28eYWFhJCQkcPToUerUqZPmmI4dO3L79m0SEhI4fPgwQ4YMQZZl/dpNGfXVvXt3Lly4QGJiImFhYaxfv/51L4Mg5Jm/TgWx+1ooKqXEvL41sDQtmlPie5bR4WJtyt2wWGbvuWXscIR8QCROQqHy60F/ImKTKFfMio9blcv+gEJsUudKeDpZEhKZwPj1l8XiuIIgCEK2bj6KZso/1wAY364ClUvYGjki47FUwZQuKfMa/Y4Fcv9pJmvWCUWGSJyEQiMkMh6/44EAfNG+AmqTov3jbWlqwry+NVApJXZfC+WvU0HGDkkQBEHIxxI0WkavukBiso5m5ZwZ2qiMsUMyuhblnGjg6UiSVsdPe8S84aKuaH+zFAqVuXtvk5iso66HAy3Kuxg7nHyhcglbxrerAMCUf65x81G0kSMSBEEQ8qup265zMzQaJytTfny7GgqFZOyQjE6SJMa3T/k7uuHCffF3tIgTiZNQKNx5HMOas8EAjG9fHkkSH/aphjYqQ7NyziQm6xi96oKY4CoIgiCks/vqI5afvAfA7F7VCu0it6+jursd7Su7Isvww66bxg5HMCKROAmFwo+7bqKTobVPMWqVLvzrTLwKhULix7er4WRlys3QaKZuu27skARBEIR8JCQyns/Xp6x9+F5TT5qWczZyRPnPp23Lo5Bg7/VQzgZGGDscwUhE4iQUeBeDn7Hz6iMkCT5vV97Y4eRLztamzO5VDYDlJ+9x/M4TI0ckCIIg5AeyLDNhwxWexWmoUsKWcW3F39GMeLtY0au2OwAzdt4QBZeKKJE4CQWaLMvM2HEDgO41SlKumLWRI8q/mpZzZmCD0gB8telfMWRPEARBYPuVRxy4GYZKKfFT72pFvrBSVj5uXRZTEwVnAp9y4OZjY4cjGIH47RAKtCO3n3DibjhqpYIxbcoaO5x8b5xveVysTQl4EssvB+4YOxxBEATBiKISNEzaehWAD5p74+0ibj5mxc3WnMENPQCYufMmOp146lTUiMRJKLB0OpkZO1OeNg1oUJqS9hZGjij/szFTMfn5CvC/HvLndqioDiQIglBU/bDzJmHRiXg6WTKyuZexwykQPmjuhbWZCTceRbP50gNjhyMYmEichALrnyshXH0YhZWpCaNaeBs7nAKjXWVXWlVwQaOVmbDxirhjJhRKkiSxadMmY4fx2gYPHkzXrl2NHYZQiJ2795QVp1Kq6H3XrTJmKqWRIyoY7CzUvN8sJcmctfsWicli2HtRIhInoUDSaHXM2p1SEvS9pp44WKqNHFHBIUkSk7tUwlyl5EzgU30Zd0EoSB49esRHH32Ep6cnpqamuLu706lTJ/bt22fs0AQh39NodXy18QqyDD1qlqShl5OxQypQhjYqg4u1KfefxrNKLC5fpIjESSiQ/j4TzL3wOJys1LzbWKxs/qpK2lvwadtyAEzbfp2w6EQjRyQIORcYGEitWrXYv38/P/zwA1euXGHnzp20aNGCUaNGGTs8Qcj3/jwawI1H0dhbqPiqg4+xwylwzNVKRrdKmVc9f/8dYhKTjRyRYCgicRIKnLikZObtuw3ARy3LYmlqYuSICqbBDT2o6GZDVEIyU7ddM3Y4Qj4Sp4l75f+Sdf99cUjWJROniSMhOSHb876OkSNHIkkSp0+fpkePHpQrV45KlSoxduxYTp48meEx48ePp1y5clhYWODp6cnXX3+NRqPR7580aRLVq1dn8eLFlCpVCisrK0aOHIlWq2XmzJm4urri4uLC1KlT05xXkiR+/fVX2rdvj7m5OZ6enqxbty5Nm+DgYHr16oWdnR0ODg506dKFwMBA/X6tVsvYsWOxs7PD0dGRzz//XJQ6FvJMcEQcc/beAuCrDhXFiI3X1LuOO2WcLAmPTeKPI3eNHY5gIOIbp1DgrDt3n7DoRNwdzOlbt5SxwymwTJQKvu9ehW6/HGPTxYf0qFWSJmXFoocC1FtZ75WP+bHZj/h6+AKwL2gf4w6No3ax2ixpt0Tfpt36djxNfJrmuCuDrrxSPxEREezcuZOpU6diaWmZbr+dnV2Gx1lbW+Pn50fx4sW5cuUKw4cPx8rKihEjRujb+Pv7s2PHDnbu3Im/vz89e/bk7t27lCtXjkOHDnH8+HGGDh1K69atqVfvv2v09ddfM336dObOncvy5cvp06cPV65cwcfHB41Gg6+vLw0aNODIkSOYmJjw3Xff0a5dOy5fvoxarWbWrFn4+fmxePFifHx8mDVrFhs3bqRly5avdG0EITuyLD9fjkJHA09HetQsYeyQCiyVUsHYNuX4aNUFlhwL5L2mnlioxdfqwk48cRIKFJ1Oxu9YIADvNioj1pt4Q9Xc7RjYwAOArzaKtZ2E/O/OnTvIskyFChVe6bj//e9/NGzYEA8PDzp16sS4ceNYu3ZtmjY6nY7FixdTsWJFOnXqRIsWLbh58yZz5syhfPnyDBkyhPLly3PgwIE0x7399tsMGzaMcuXKMWXKFGrXrs38+fMBWL16NTqdjj/++IMqVarg4+PDkiVLCAoK4uDBgwDMmTOHL7/8ku7du+Pj48PChQuxtbV9/YskCJn453IIh2+FoVYqmNqtMpIkGTukAu2tKm64O5gTGa9h4wVRYa8oEKmxUKAcvh3G3SexWJua0PP5Ct7Cm/m0bTl2/vuIoIg45u27zeftXu0LqVD4nOp36pWPUSv/G+7TqlQrTvU7hUJKe2NjZ4+dbxzb6w5hW716NfPmzcPf35+YmBiSk5OxsbFJ08bDwwNr6//WsSlWrBhKpRKFQpFm2+PHaRe+bNCgQbrXFy9eBODSpUvcuXMnzXkBEhIS8Pf3JzIykpCQkDRPsExMTKhdu7YYrifkqsg4DZO3pgzLHtXCG09nKyNHVPApFRKDGnjw3bbr+B0LpF/dUiIZLeRE4iQUKEueP216u7Y7VmJuU66wNlMxqXMl3l9xjkWH79K9ZgmxCGIRZ6F6szXRTBQmmCjS/36+6XkBypYtiyRJ3LhxI8fHnDhxgv79+zN58mR8fX2xtbXl77//ZtasWWnaqVSqNK8lScpwm06ny3HfMTEx1KpVi7/++ivdPmdnMTRWMJwfd9/kSUwiXs6WvN/c09jhFBq96rjz055b3H4cw7E74TQuKyoUFmZinJNQYNx5HMOhW2FIEvqVu4Xckbq2U7JO5vvtOf9CKgiG5uDggK+vLwsWLCA2Njbd/mfPnqXbdvz4cUqXLs1XX31F7dq1KVu2LPfu3cu1mF4uSHHy5El8fFIqldWsWZPbt2/j4uKCt7d3mv9sbW2xtbXFzc2NU6f+e8qXnJzMuXPnci0+QbjzOJqVp1PKZk/pWhlTE7FmU26xMVPRs1ZJAJYcCzByNEJeE4mTUGAsPR4IQKsKxSjl+OZ3roW0vnzLB6VCYt+Nxxy/88TY4QhCphYsWIBWq6Vu3bqsX7+e27dvc/36debNm5du2BykPKUKCgri77//xt/fn3nz5rFx48Zci2ft2rUsXryYW7duMXHiRE6fPs2HH34IQP/+/XFycqJLly4cOXKEgIAADh48yOjRo7l//z4AH3/8MdOnT2fTpk3cuHGDkSNHZpgACsLrmrb9BlqdTJuKxcSaTXlg0PObuftvPibwSfobOkLhIRInoUCIjNew/nzKl4yhjTyMG0wh5e1iRf96KVUKv9t2HZ1OzK8Q8idPT0/Onz9PixYt+PTTT6lcuTJt2rRh3759/Prrr+nad+7cmTFjxvDhhx9SvXp1jh8/ztdff51r8UyePJm///6bqlWrsmzZMlatWkXFihUBsLCw4PDhw5QqVUpf/OHdd98lISFBP8fq008/ZcCAAQwaNIgGDRpgbW1Nt27dci0+oWg7ducJ+288xkQh8WV7MYc1L3g6W9GivDOyDH7Pb/IKhZOYJCIUCGvOBBOXpKV8MWsaeDkaO5xC6+NWZdl4/gHXQqLYcOGBfviBIOQ3bm5u/Pzzz/z8888Z7n+5sMLMmTOZOXNmmm2jR48mKioKSFnHadKkSWn2+/n5pTtvaiW8FxUvXpzdu3dnGqurqytLly7NdL+JiQlz5sxhzpw5mbYRhNeh1cl8t+06AO/ULy0KQuShIY3KcOBmGOvO3efTtuWwNlNlf5BQ4IgnTkK+p9XJLD0RCMCQRh6iYk0ecrQyZVRLbwB+3HWT+CRRnlwQBKGg2nD+PtdDorA2M2F0q7LGDqdQa1LWCW8XK2ISk1l79r6xwxHyiEichHxvz7VQ7j+Nx85CRZfqYrG+vDa4oQcl7Mx5FJUgVkMXBEEooOKSkvlx900APmzhjYOlOpsjhDchSZJ+rtPSE4FoxXD3QkkkTkK+l1qlpm/dUpirRSWgvGamUvJ5u/IA/HrIn8fRCUaOSBDyL1mW6dq1q7HDEIR0/jgSQGhUIiXtzfVf6IW81aNmCWzMTLgXHseBG4+zP0AocETiJORrVx9GciogAqVCYkD90sYOp8joXK041dztiEvS8tOe28YORxAEQXgFj6MSWHjIH4Dx7SpgphI3HQ3BQm1Cn7opRZaWHBelyQsjkTgJ+VpqCfJ2lV0pbmdu3GCKEEmS+F+HlHVoVp8J4uajaCNHJAiCIOTU7D23iEvSUt3djo5V3YwdTpEysEFpFBIcuxPOrVDxt7OwEYmTkG+FxySy6eJDQJQgN4Y6Hg60q+SKToZp268bOxxBEAQhB248imLN2WAAvu7oIwoqGVhJewvaVnQFYMmxQOMGI+Q6kTgJ+daq00EkJeuoWtKWmqXsjR1OkfRF+wqolBKHboVx+FaYscMRBEEQsjFt+w10MrxVxZVapR2MHU6RNOT5zd6NF+7zLC7JuMEIuUokTkK+pNHqWH7yHiBKkBuTh5MlA+p7AClPnUSVIEEQhPwr9SaXSikxvp1Y7NZY6pZxoKKbDQkaHatOBxs7HCEXicRJyJd2Xw0lNCoRZ2tTOlQpbuxwirTRrbyxMTPhxqNoNl54YOxwBEEQhAzodDLTd9wAYFADD0o7Who5oqJLkiT9U6cVJ++hEzcdCw2ROAn50vrzKYvH9apdErWJ+DE1JjsLNSNbpCyKO3//bTRanZEjEoSCKTAwEEmSuHjxorFDEQqhXVcfpSx2a2rCh88XMheMp1O14libmfDgWTwnA8KNHY6QS8Q3UiHfCY9J5NDz+TTdapQ0cjSFy6Mp33Fv4CCidu/Wb5M1GhJu3kIbFYUsZ3xXbGCD0jhZqbkXHsfG8+Kpk2BcgwcPRpIkpk+fnmb7pk2bXmlYb8uWLfnyyy9zOzxBMDidTuanvbcAGNK4DHYWWS92m3j7NpHbtpF4+7/lJmRZJmTyZCL++gtdfHyexlsUmKmUdKiSUtFwkxitUWiIxEnId7ZeeohWJ1O1pC3eLlbGDqdASgoKIujdYQT27pNmuzYqirjTp9FGRv7XNjiYgC5duNOiZabns1Cb8H4zLwDm7b9NUrJ46iQYl5mZGTNmzODp06fGDoWkJDH5WzCubVdCuBUag7WZCe82LpNmnyzLJN69m2Zb+BI/Hn46juh9+/TbNPfv82zV3zyePgNJ+d+6T1G7dxOxdCmaR4/y9k0UQt1qlABgx5VHJGi0Ro5GyA0icRLyndR5NKkfOEL2ZJ0ObUyM/rXC2prYY8eIv3QJbfR/60g4DhlM8R9mYlm/vn6bNjISpZ0dJm6uae7WR27dSsLNm/rX/euVxtnalPtP41l37n4evyPBmHRxceji4tI8gZSTklK2v5Qk6Nvq/kumZY0mZXtiYrZtX1fr1q1xdXXl+++/z3B/eHg4ffv2pUSJElhYWFClShVWrVql3z948GAOHTrEwoULUSqVSJJEYGAgfn5+2NnZpTnXy0+yJk2aRPXq1fnjjz8oU6YMZmZmAOzcuZPGjRtjZ2eHo6MjHTt2xN/f/43fqyBkRauTmfP8adPwJp7Ymqv+2xcVRUC37gR06Upy2H+VUc0qVMC8di1MnJz02yS1GscP3seud28k9X9PrCLXbyD0++lELF9ugHdTuNTxcKCEnTnRicnsuRZq7HCEXCASJyFf8Q+L4dL9SJQKiU7VRFGInIg7d46Art14NPlb/TYTe3vcpn+Px9o1KMz/WzjYrGJFbDt1Qu3urt9mUaMG5U6ewHPDBv027bNnhHwzkYAuXYn/9yoA5molI5unPHX6ef9tEpPF3bPC6mbNWtysWQvtC09zwhcv5mbNWoROmZKm7a1GjblZsxaahyH6bU9XruRmzVqEfPW/NG3vtGrNzZq1SMqFZEKpVDJt2jTmz5/P/fvpE/mEhARq1arFtm3b+Pfff3nvvfcYMGAAp0+fBmDu3Lk0aNCAQYMG8eDBA0JCQnB/4fciO3fu3GH9+vVs2LBBP2cpNjaWsWPHcvbsWfbt24dCoaBbt27ociFRFITM/HPlEf5hsdiaqxjSyANZo9HvU9rYoDAzAxMT4v/9V7/dYeAAPFaswK5nT/02VbFiuHz8Ma7/+yrN+S2bNMGiQX0chwzRb9M8ekRSsKgWlx2FQqJrjZTvMqK4UuFgYuwABOFFqeOAm5Z1wsnK1MjRFAySmRmJt26hCQ1FGx2N0toaALuuXV/tPC/cYdTFxWHdojlJgfcwq1RRv71PrRIsPOTPw8gE1p4MpE9CACUOH0aytIQWLeCF4R2CkNe6detG9erVmThxIn/++WeafSVKlGDcuHH61x999BG7du1izZo11K1bF1tbW9RqNebm5ri6uqJQvNp9xKSkJJYtW4azs7N+W48ePdK0Wbx4Mc7Ozly7do3KlSu/xjsUhExotUiHDuF2+DArY++isPFiRCMv4hfMI3TnLry2b0NSpTx5cpv6HSaOjihfepKaUw7v9Mfhnf5ptoXNn0/kps0UGz8eh4ED3vTdFGrdapRkwQF/Dt0KIzwmEUfx3aZAM+oTp8OHD9OpUyeKFy+OJEls2rQp22MOHjxIzZo1MTU1xdvbGz8/vzyPUzAMnU7+b5heTVEUIjMJ168Tc+yY/rV5pUoUnzkD79279EnTm1IVL06J2bPxWP23foiSLjGR0CGD+VZ7Fd+bx2jToT4mbdpQe/ZsTNq0AQ8PeOGplVBwlT9/jvLnz6G0/2/hacehQyl//hzFvv46Tdtyx45S/vw5VMXd9Nvs+/Wj/PlzuE39Lk1b7317KX/+HGovr1yLdcaMGSxdupTr16+n2a7VapkyZQpVqlTBwcEBKysrdu3aRVBQUK70W7p06TRJE8Dt27fp27cvnp6e2NjY4OHhAZBrfQoCkPI56+GBSZs21J09mzm/jeX4b+8y6O5Rnq1dhyY4OM3fCFMvr9dOmjIi63RowyNAq8W8apVcO29h5e1iRdWStmh1MlsvPTR2OMIbMmriFBsbS7Vq1ViwYEGO2gcEBNChQwdatGjBxYsX+eSTTxg2bBi7du3K40gFQzh77yn3n8ZjZWpCG59ixg4nX4q7cIHAPn15MGZsmmEStp07o7S1zfX+Uu9YAkRu2UL8hQtUXraAhZu+xznqSdrGDx5Az54ieSoEFBYWKCws0szrkdTqlO1qdcZtX3hiI6lUKdtNTbNt+6aaNm2Kr69vuup4P/zwA3PnzmX8+PEcOHCAixcv4uvrm20hB4VCka66pOaFoU+pLC3Tr5HTqVMnIiIi+P333zl16hSnTp0CRPEIIRdt2JDyOfvS8NRiUeFYvv8epTp3osScOVg3b55nIUgKBe4Lf8Vz2z+YV6+u3x539iyahyIxyEjqnG0xXK/gM+pQvfbt29O+ffsct1+4cCFlypRh1qxZAPj4+HD06FF++uknfH198ypMwUBSP1DaVXbFXC2GfGXEvFIlTCuUR2lnl2tPl3LKrmdP5JgY7MaPBzK46yLLIEnwySfQpYsYticYzPTp06levTrly5fXbzt27BhdunThnXfeAUCn03Hr1i0qVvxv6KlKpUKrTTtXz9nZmejoaGJjY/XJUU7WXQoPD+fmzZv8/vvvNGnSBICjR4++6VsThP9otfDxxymftS+RkAEJs4ULMQsIMEg4pi88OU66/4DgUR8iSRKlli7FrHw5g8RQUHSqVpzvtl3n0v1I/MNi8HIWFYMLqgI1x+nEiRO0bt06zTZfX18++eSTTI9JTEwk8YXKTlFRUUDKHcSM7iIaWmoM+SEWY0rUaNl2OeVOVeeqxXLtehSG65scHo7SwSHl7r8k4bbgFxTWVugUCnQGfF+apFgSzaNRvFCZKR1ZhuBgkg8cQG7WzGCxFVZ5+fOr0WiQZRmdTlfgihfIsqyPHaBSpUr069ePefPmASlJkre3N+vXr+fo0aPY29vz008/ERoaio+Pj/44Dw8Pzp07R0BAANbW1jg4OFCnTh0sLCz48ssv+eijjzh16pR+SHjqcalPpF68bra2tjg6OvLbb79RrFgxgoKCmDBhgr7di9c5P11znU6HLMtoNBqUuXyzozB8/uYnyXu3Y55BIRS955+/mv37IQ+fOGUkOVmDqnhxMFGiKFmiUPyb5+bPr62pgsbejhy69YT1Z4MZ01osUJyfPh9eJYYClTg9evSIYsXSDuEqVqwYUVFRxMfHY/5C9bBU33//PZMnT063fffu3VhYWORZrK9qz549xg7BqC6GS0QlKLFTy4RfP8X2G7l7/oJ6fS2v38B19d88adeeyPr1jBJDfPxtDkb/zQlVAr6nIpmZg2NC/v6ea0+DSVA75Hl8RUFe/PyamJjg6upKTExMgRtKptFoSE5O1t8IA/jss89Ys2YNkHKDbPTo0dy6dYv27dtjbm7OoEGDeOutt4iKitIfN2LECEaOHEmVKlWIj4/n0qVLlCpVit9++41vvvmGP/74g6ZNm/L555/zySef6I9LTExEq9Wm6R/gjz/+4IsvvqBq1ap4e3szY8YMOnbsSHx8PFFRUcQ8XzIgNjY23bHGkpSURHx8PIcPHyY5OTlP+iion7/5jXL7d3TMQbtvN3xAckQP6qpro1BkvRBubpL690ORkMCVvXtTNsgyUlISsmnBLoaQWz+/HrLEIZT8fdKfsom3UOR8re5CLT98PsTFxeW4rSS/PJjbSCRJYuPGjXTNohJYuXLlGDJkSJqx7Nu3b6dDhw7ExcVlmDhl9MTJ3d2dJ0+eYGNjk6vv4XVoNBr27NlDmzZtUL0wn6SoGbnyInuuP2Z4Yw8+9829R/wF/fo+XbKE8Nk/YVarFiUW/5mrc0Oyo0mK5bcd77I85iaa53NdGl6L4beZgdkfPMgC2UPF2tJVoXgt3mr0FaamuT8Hq7DLy5/fhIQEgoOD8fDw0K9DVNTIskx0dDTW1tZp5nMVJQkJCQQGBuLu7p7rPwcF/fPXmO4GHmDLhQX4OFfDt3FKQZborX/h0GNINkfCkPEenPWxwksrMa7yCOrVeC+vw81Q5Pr1PF30O64/zcbshSGyBUVu//zGJ2lpMPMgsYlaVg2rQ+3S9tkfVIjlp8+HqKgonJyciIyMzDY3KFBPnFxdXQkNTbuAWGhoKDY2NhkmTQCmpqaYZnC3Q6VSGf0f6kX5LR5DehqbxMFbKcO/etYulSfXoaBeX+fhw1HZ2WHXtWuacuGGYKK04XxMABpJogHmfNrgG8r184WVnimFIDK45yJLEpKLHTSui+7+CX7ThfH40V7iD8UwqMPvBo2/MMmLn1+tVoskSSgUilcuxV1YpA6XS70ORZFCoUCSpDz9jCyon79GIctwdjErTk9jk5UFte49oGOLlDX6rOv7kmxqhjIxgQzTfElCLlGCtwZM5c7p7/FXymw5M4vG/seg7RRwzL1qltm+jeRkov76i+SHD4nbvRvratUM1nduy62fX5VKRfvKbqw7d58tl0Np4O2SC9EVfPnh8+FV+i9QfykaNGjAvn370mzbs2cPDRo0MFJEQm7450oIGq1MRTcbyrsatuBBfiPLMlE7dyK/8IXOvlcvgyVNl/79m5jolIVMJYWCCQ0mMq/cIH4bcJLy5TqmVNmbO5fnwaWNHQlkmZh+Q2DYTjQfnaWvSz3aKu3o33a+QeIXBEEosDQJsOVD2DaWCU/C6Y0Ng8r30e+O+GsFjxwdAUg3Q+7557E0dy5vV+rHP923McC8DGOeRsPNbfBLfcJ3jtd/vuc1ycSE0n/9heukSbi8sJ5aUdf9eXW9bZcfkqARi8gXREZNnGJiYrh48aK+YlFAQAAXL17Ur3nx5ZdfMnDgQH37999/n7t37/L5559z48YNfvnlF9asWcOYMWOMEb6QSzaeT5nsmlqusygLmzuXB5+MIeSr/6UriZyndDp+WNOJd85NZdHuUfrNPuW70KLBuLRDBLt3h3XroETaf68n1vY8cHcneMcOYk+cwMyxLMM6+THrnSOYqFKGAGkSY9myf4I+MRQEQRDgUcgF5ixriu7CCpAUmLeayP8GHqVFg/+SDpcxY7jb512+bP8RYTZOaU9QsmTK53L37gDY2pbi815bcHvvCHi1BG0S0/3X0nFtGy7+u9Ig70lpY4N9n976YbCyLJOcVXGhIqCepyOuNmZEJSRz4MZjY4cjvAajJk5nz56lRo0a1KhRA4CxY8dSo0YNvvnmGwBCQkLSLBxYpkwZtm3bxp49e6hWrRqzZs3ijz/+EKXIC7B74bGcD3qGQoIu1YsbOxyjM/UuCyYmmFWpbLg5FzodbB1N9cAzmMgyMZq47BOb7t0hMJDkPXs4PWYsI4f9SL0Ri7nbsTfW7Xwxr1Urw8Nmbnqbr4K38ulfzYiNeZQHb0YQBKFgOXNnO713DuBPk3iWOBWDd9ZD4zEpQ+9euIGmUyiZVLwFf1f1Zeum4yTv2cPZsWNJ3rMHAgL0SVMaLhXgnQ3E9lrKDXNLohQQFWv45EXW6Qid8h0BPXqSVIQXhFYqJLrUSPmuI9Z0KpiMOsepefPmWd5VTy0B+/IxFy5cyMOoBENK/eBo5O2Ei03RnKD+ItuOHTCvWgV1qVKG6VCng60fwYUVtJEU7Kw8hmK1383ZsUolcrNmhMTGUtO+Etu33+TrUu3Y+2kzFKqMP1rK2pXFJCSIPbpn3F3Tljkt5+PhIcqWC4JQ9MiyzLJry/jp3E9oFRIVdEp8uy6HkvX0+x9Pn47Szg7H999n99VH3A2LxdZcRZ+GZZAVHjyIjaVas2ZZr5snSVhW7Moaj6Zcv/0PNasNzLxtHtHFxRF35gzJYWHEX7xouL9x+VD3GiX57dBdDtx8zNPYJOwtDTt/WXgzBWqOk1C4yLKsT5yK8jC96L170cbE6l8b6g+KTpvM3DUdCbm8CiQFdP8950nTS3rVKomDpZp7zxLYce2/4QfP1m9Is5J8L9+5LKk9AWetjL9Spu+BURw/+8sbvxdBEISCJDk5kS+PfMmPZ39EK2vp6NGOZX0OULLkf8tOxJ89S8TSZYTNnUf85cv8esgfgEENSmNl+ur3vc0tHNIkTUFBR7l45a83fzM5oLSyotTiPykxZw62nTsbpM/8qryrNT5uNmi0Mv9cMcycMyH3iMRJMJoLwc+4Fx6HuUqJbyVXY4djFJGbN3P/w48IfvdddPHxButXq9PyzZq3+CMxmPfcXNB0XQhVer72+czVSgY39ADg14P+yLJMxF9/EfLVVwQNfy9NYli9cj/WdFpLTVlNjEJizJVfuHl725u+JUEQhAJj5vrubAvYhomk5Iu6XzCt6UzMzdOWp7aoU4di//sfLl+M54JlCS7fj8RMpWDQ88/aN/Hw4VmG7n2f985+z/lLy974fDlh4uyMjW9b/WtdYiLJT58apO/8JrVIxCYxXK/AEYmTYDRbL6U8ifCtVAzL17h7VhioPT1R2NpiVrUqkoHW0tHqtHxz/Bs2J4WglGVGleuLqlrvNz7vwAalsVAruR4SxaFbYVi3bImJqys27dujsEy72LSTsw9/9D1MPcyIU0h8dPQLnog5T4IgFAF/7/yIVQkp83x+KD+Y/j79M53T6vBOfxwHD+bXgylPm/rUKYWj1ZsvKGtv50kZpQXxCon3z880WPKUShcXR/D77xNk4JuG+UWX6sWRJDh37ykPnhW991+QicRJMApZltlzLWVNrvZV3IwcjfGYV6mC58YNFJvwpUGKQaQmTVv8t6CUlEyvP5F2TSfmyrntLNT0q5syzPCXg/6o3Nzw3LIZ5w9HZfjeVKaWzOqyltKykhAFfHz4UxK1ienaCYIgFBbHz/7C9EcHAPjYvhat632SZr8uMZHwP/5Al5Sk33b5/jOO3nmCiUJiWJMyuRKHuYUD83vtoj7m+uTp3KWluXLunEh+8oTEm7dICggk4foNg/WbX7jYmOkXwN17LTSb1kJ+IhInwShuPIrm/tN4TE0UNCnrlP0BhYguIYHkiAj9a1Xx4gZJmmSdjknruuiTphlNZ9Cuwtu52sewJp6olBKnAyI4dy8C5QsrcMuyjDYyMk17WzsPfu62ERu1DZfDLvPNsW8MW4ZdEPKJSZMmUb16dWOHIeShuwH7GXflF7SSRGeVM+92XJyuTdjs2Tz+cRb3Pxip35b6tKlz9eKUtLdId8zrMjO3Z36vXTR4njx9cP4HLv37d66dPyvqUqUoOX8eZdasxqJmDYP0md+0qVgMQH8TWSgYROIkGEXqB0WTsk5YqIvOMD1Zlnk0+VsCuvcg/tIlg/a9Yd9nbIq/h1KGGY2+w9cj98v4u9qa0b1GSQB+PXhXvz05PJz7H4wk6N1hyBpNmmM8bMswu/lsTCQTtgdsZ9GOEbkel5CHtFo4eBBWrUr5X23eLuo4ePBgJElCkiRUKhXFihWjTZs2LF68GN0rrg/m5+dH6dKlcyWu5s2b6+MyMzOjYsWK/PJLzgufjBs3Lt0C79nx8PBgzpw5rxipYAzPngbw4YGPiVZI1JTVTOyxOe36eM9Z1KuH0tER+wHvAOAfFsPOqynDmN9v5pXrcZmZ2zOv1y4aPk+ePjv9HZGRhikXblGrFqZlyxqkr/yoTcWUud0n74YTGa/JprWQX4jESTCK1MQp9Y5LUaGLiiL+wgWSHz9GFxdnsH7vBuxj+v1dAIx2rIOvV8c86+u9Zp5IEuy9Hsqt0GgA5ORk4i5cIPHmTeKvXEl3TD23enxZLeUO689hJ9h15Ls8i0/IRRs2gIcHtGgB/fql/K+HR8r2PNSuXTtCQkIIDAxkx44dtGjRgo8//piOHTuSnJycp31nZfjw4YSEhHDt2jV69erFqFGjWLVqVY6OtbKywtHRMY8jFIxB1un4fEtvgpVQQgs/dV6N2tQ6w7bWLVvivXsX1s2bA7Do0F1kGVr7FKNcsYyPeVNm5vbM7rGFUloIUUpMPjXN4E/+kwIDCf5gJNpnzwzarzGVcbLE28WKZJ3MwZtiMdyCQiROgsGFRMZz5UEkkgQtKxStxElpa4vHurWUnDcXywYNDNJnYkIknx0cS4JCoj7mDH5rUZ725+VsRfvKKXfSFj4fYqIqVowSP/6Ax7p1WNSsmeFxvaoN5x2LMthptTie/A0enM/TOIU3tGED9OwJ9++n3f7gQcr2PEyeTE1NcXV1pUSJEtSsWZMJEyawefNmduzYkWb9v9mzZ1OlShUsLS1xd3dn5MiRxMTEAHDw4EHeffddoqKiUCqVSJLEpEmTAFi+fDm1a9fG2toaV1dX+vXrx+PH2X+xsbCwwNXVFU9PTyZNmkTZsmXZsmULAEFBQXTp0gUrKytsbGzo1asXoaH/DdF5eaje4MGD6dq1Kz/++CNubm44OjoyatQoNM+f2DZv3px79+4xZswY/ZMugHv37tGpUyfs7e2xtLSkUqVKbN++/U0ut/CGJIWC4dXep4QWfm42CwcH7zT7ZVlGl5Cgf62wtARS/lZuuJDy+zWyRe4/bXqRpZUrM5rPwkRSsifkGOtvr8/T/l4kyzIPxn5KzIEDhH7/vcH6zQ/EcL2CRyROgsGlToSsWcoeZ+s3rw5U0CitrLBu3dpg/c3e0p9bCh0OOplp7ZegUOb90MjUISWbLz3k/tOUJ2tWTZpgVr5clseN67aOtaqy1I6Ngr/7QdTDLNsLRqLVwscfQ0Z3pVO3ffJJng/be1HLli2pVq0aG15I2BQKBfPmzePq1assXbqU/fv38/nnnwPQsGFDfvrpJ6ytrXnw4AEhISGMGzcOAI1Gw5QpU7h06RKbNm0iMDCQwYMHv3JM5ubmJCUlodPp6NKlCxERERw6dIg9e/Zw9+5devfOuprlgQMH8Pf358CBAyxduhQ/Pz99YrhhwwZKlizJt99+S0hICCEhKevBjBo1isTERA4fPsyVK1eYMWMGVlZWrxy7kLvqVB/K1gGn8PZqm25f5ObN3O3chfiLF9Ns//NIABqtTL0yDtQsZZ/uuNxW2bMto2t+DMCM0zPwDzdM0QZJknCbNhXLhg1xHvupQfrML1ITp4M3w0hMNtznpfD6ROIkGNzuIjZMT9bpeDDuM6L37jV43wdPzmJl/D0AplQcjrNLJYP0W7WkHY29ndDqZP44EpBuf9L9B4QvXpJuu9JEjevby8HZB6JDeLLmHbTJSenaCUZ25Ej6J00vkmUIDk5pZ0AVKlQgMDBQ//qTTz6hRYsWeHh40LJlS7777jvWrFkDgFqtxsbGBkmScHV1xdXVVZ9gDB06lPbt2+Pp6Un9+vWZN28eO3bs0D+tyo5Wq2XFihVcvnyZli1bsm/fPq5cucLKlSupVasW9erVY9myZRw6dIgzZ85keh57e3t+/vlnKlSoQMeOHenQoYN+HpSDgwNKpVL/VMzVNeUpb1BQEI0aNaJKlSp4enrSsWNHmjZt+jqXU3hD125s4sGD0/rXKlX6wg6yVkvEn4vRBAURe/KkfvuzuCRWnk6Za/RB87x92vSiQZUG0cCtPgnaBD7b0pvEhMjsD8oFZhUqUGrxn6iKuRikv/yiekk7nK1NiUlM5uTdiOwPEIxOJE6CQUUlaDh5NxyAtkUkcYrcuImof/7hwafjSA4LM1i/sk7HipspFZIGWHjStN7HBusb/vtj//eZIMJj/iszro2MJKBHDx7PnEnUrt3pDzSzgX5/84+tI50VoazaY9i4hRwIyeFq9zltl0tkWU5ToXLv3r20atWKEiVKYG1tzYABAwgPDycum/mF586do1OnTpQqVQpra2uaNWsGpCQlWfnll1+wsrLC3Nyc4cOHM2bMGD744AOuX7+Ou7s77u7u+rYVK1bEzs6O69evZ3q+SpUqoVQq9a/d3NyyHTI4evRovvvuOxo1asTEiRO5fPlylu2FvJEQ/5TPj39Nt91DOXnut0zbSUolpf9agdPoj3AcPly/fdmJe8QlaanoZkOzcs6GCBkAhaRgWs1xOOhkbit0LNk62GB9vyj+4kU0Dwv/iAOFQqK1T+pwPbGWYUEgEifBoA7eDEOjlfFytsTTuWgMH7Ht3AmHQYNw/eZrTJwN9wdQUihY0HsvnzjU5pPOKwzWb6qGXo5UK2lLgkbH0uOB+u1KW1vse/fGvEYNzCr6ZHywvQdxFTsRrVSwP/QM8itWSxPymFsO117Labtccv36dcqUSVnnJjAwkI4dO1K1alXWr1/PuXPnWLBgAQBJSZk/xYyNjcXX1xcbGxv++usvzpw5w8aNG7M9DqB///5cvHiRgIAAYmNjmT17NooMKqfllEqlSvNakqRsKwcOGzaMu3fvMmDAAK5cuULt2rWZP3/+a8cgvJ7ow9NxSkrASoaKZTtk2VZpY4PzyJFIz5Pk+CQtfs8/Mz9o7mWQ5Spe5ORUnu8qjaBnVDSDrh2AG4adIxe1YweBAwZyf8yYdFVYC6PUm8h7rz0Wy3EUACJxEgzqv2p6rkaOxHAklYpiX36BXY8eBu/b1MyWdzstybSCU16SJIkRz+c6rTgVRILmv/Hbzh99SOnly1C/cAf+ZT1bz+L70l1Z1P9ohmV7BSNq0gRKloTMvtBJEri7p7QzkP3793PlyhV6PP89O3fuHDqdjlmzZlG/fn3KlSvHw5fuYKvV6nSJyI0bNwgPD2f69Ok0adKEChUq5KgwBICtrS3e3t6UKFEiTcLk4+NDcHAwwcHB+m3Xrl3j2bNnVKxY8XXfMmq1Gm0G88jc3d15//332bBhA59++im///77a/chvIaQSzif/J3Fjx6zvOZ4bGxKpmuSeDeAuHPnMjx844UHRMQm4e5gri+0Y2hN6n7ExHL9MZdl2DzSoPNNzapUQWFhgcrFBV18vMH6NZYGXo5YqJU8ikrgygPDDI0UXp/4NiIYTFKyjoM3Ur6AFIX5TfFXrxrl7tGlf/9m4eb8MTeobcVilLAzJyI2iU0XHui3SyoVksl/RSoyuk4KpQkdm0/BRGVmkFiFV6BUwty5Kf//5eQp9fWcOSnt8kBiYiKPHj3iwYMHnD9/nmnTptGlSxc6duzIwIEDAfD29kaj0TB//nzu3r3L8uXLWbhwYZrzeHh4EBMTw759+3jy5AlxcXGUKlUKtVqtP27Lli1MmTLljeJt3bo1VapUoX///pw/f57Tp08zcOBAmjVrRu3atV/7vB4eHhw+fJgHDx7w5MkTIGVe165duwgICOD8+fMcOHAAH59MnuwKuU+bDFs+AlmLomIXSlQfkK6JLMuEfjeFe/3fIWLZsnT7Fh9LmRc6uGEZTJRG/JrW6htwq4Yu/ilbN/Qz2N8UdcmSeG7eRMn589Msol5YmamU+uGYorpe/icSJ8FgTgWEE52YjJOVKTXc7YwdTp6KO3uWwB49uf/hRwYdahAX94Txp6ey4Nkl/tj2rsH6zYyJUsGQRh4ALD4WkC5BkjUawpf4EdirN3IWw6ASEyL5dVN/njwxTJUnIQe6d4d166BEibTbS5ZM2d69e551vXPnTtzc3PDw8KBdu3YcOHCAefPmsXnzZv2coGrVqjF79mxmzJhB5cqV+euvv/j+pVLHDRs2ZMiQIfTt2xdnZ2dmzpyJs7Mzfn5+rF27looVKzJ9+nR+/PHHN4pXkiQ2b96Mvb09TZs2pXXr1nh6erJ69eo3Ou+3335LYGAgXl5eOD8fBqzVahk1ahQ+Pj60a9eOcuXKvdJCvMKbWbpjBNMTg4gzt4P2P2TYRtZoUJV0RzIzw6pFizT7Dt0K487jGKxMTehVO/2TKoMyMYUeixnrWowJUjh+BlycXOVadEalgChLXpDkfV1iQXgu9QOhtY8LCoVhx2wbWuIdf1CpUNrbIb00TyEvmZ34lfciwllr70C/FtMN1m9WetVx56c9t7gVGsOR209o+sJEZ11iIuF//on2yRMit/6DXY+Mv2xPWNeR3dpn3N35Hj+8c9hQoQvZ6d4dunRJqZ4XEpIyp6lJkzx70gSkKcmdnTFjxjBmzJg02wYMSPsEYPbs2fzxxx9phtb17duXvn37pmmX3dPjgwcPZrm/VKlSbN68OdP9kyZN0q8jBWT4HufMmZPmdf369bl06VKabWI+k/EEBR9jftgpEm2tqVy5Ix2tMx5ZoVCrcft2Ms6jP8LEySnNvj+Ppjxt6l3HHWszw/3tyJSTN828u3AyeAfmGVQFzGu6xESeLPgFk2IuOPTvb/D+DaVlBReUCokbj6IJjojD3cHw11rIGZE4CQYhy7I+cWpbqfAP07Pv0xvzmjUMe9fsaSCK4/Pprk2kW/tfkWxKZH+MAdiYqehVx50lxwL582hAmsRJaWWF61cT0MXGYtuta6bnGFp7DHtPfsNO7VM6nJxF8/pFa62PfE2phObNjR2FIBiVLMtM+vd3EhUS9bGgQ/Op2R7zctJ0KzSaI7efoJBgcEOPPIr01XVtOYNmz0akW7jXEKJ37iR80SIkc3Ns2rXDxNHR4DEYgp2FmroeDpy4G87ua6G827iMsUMSMiGG6gkG8e+DKEIiE7BQK2no5ZT9AYWAWblyBh2fnbRrAmgToUxTpIqdDdZvTgxpWAZJSh2GEp1mn0379tj17JllAYhKFbozyKosAFOuLSE66kGmbQVBEAxt/e31nHl8DnMTc77pujbDzzPNgwc8+nYKyU+fZniOxc+fNvlWcs1XTxwkhcIoSROATadO2Lz1FiV+mFlok6ZUqcP1dl8VZcnzM5E4CQaRuj5B07LOmKnybhiPMclJSTyaOg2NgdeuATh1/jc6xF5gp6UVtJuRebUzIynlaEGb52tV/Hk0MNN2slab6VpXH7z1J+5aeKyUmLPd+PO3BEEQAB4/9Wf22VkAjKo+CnfbUhm2C/3hR56uXEnI/75Oty88JpENzwvoDM3HTxuOnfmZz1c0M1ihCEmhoMTsWVi3bm2Q/owpNXE6ExjB01jjF3cSMiYSJ8EgduvLkBfeYXrhf/7J0+XLuTdwEHJyssH6TdZqmH7pFx6ZmHC+VHUo9vrljfNS6tCDDefvE5HBH4XEu3cJ7NWb4Pc/QM6gxLK5hQOTaqQshrsm8QFnL/rlabyCIAjZkXU6pv4zkGhNDJVtvXjH551M29r364tpRR+cR3+Ubt9fp4JIStZRtaQttUvb52XIry066gGf/buQHdoINh740igx6OLjM31iV9C5O1hQwdUanQz7b+RsCQTB8ETiJOS54Ig4bjyKRqmQaFnBxdjh5Bnrtm0xr14d548/TlNqO6+tvrWGOwoddigZ5bvAYP2+qrplHKhcwobEZB0rT91Lt19pa0vSvXsk3btHor9/xueoMYwe6pRFVb+98BPJ2sK/OGJeEwsuFm3i3//NHDw1m/26KExkmUmVhqNUZD6iwrJuXcqsX49Z+fJpticma1l2IuUz8d3GZQy+4G1OWduU4INijQCYd38XUZHB2RyRu+KvXOFu166EfPW/Qvtz21ZU18v3ROIk5LnUD4Dape2xt1QbOZq8Y+rlRemVf2HT4S2D9fk04SkLLqYkSx/W+xJbOw+D9f2qJEnSP3VaduIeSclpFx41cXSkxNw5eO3aiVm5cpmeZ+xbf2IvqQhQ6NjovykvQy7UVM+rPcbFxRk5EsGYUv/9VQas/llYaJOTmHM9ZR2mgdblKV+2Q4btXvySn1FStPVSCE9iEnG1MeOtKm55E2wu6dPmJzy1Ek8VEr/uHmXQvhVmZmgehpBw9WqmQ7oLujYVUwpKHb4dlmbReCH/EFX1hDy3p5AP05OTk/VPmLIqcJAXfj49k+ikaMrbl6dnuZ4G7ft1dKhSnO+33+BxdCLbrjykW42065RYNWqU7TlsbN15r/ZYZpyZwa8Xf6WjZ0fMTczzKuRCS6lUYmdnx+PHKUNCLCws8u2d7ryi0+lISkoiISEhTTnyokCWZeLi4nj8+DF2dnb69a+EnNty6H/cVcrY6mSGtZmXYZvkiAjuDRiI03vDsenUKd3fCFmW9UUhBjYsjcqYC97mgEplwfgqIxhxbSF/x97l7YB9eJZpZZC+TcuWpeT8eVjUqoXS2togfRpa5RI2uNmaERKZwHH/J7SsUDi/NxVkInES8tSzuCROB0YA0LZi4VvQLjk8nMC3e2E/cAAO77xj0CF6N2/9w7q7W0GS+KLO51kOEckv1CYKBjX04IddN/nzaABdq5fI9Mt6wo0bSGpTTD3TT5TuVb4Xy68t52HsQ/66/AfDaqafMyBkz/V5ufzU5KmokWWZ+Ph4zM3Ni1zSmMrOzk7/cyDkXGJCJL/c2w5KiWHO9bHOZPmHCL+lJPn7E+63FJuOHdPtP3k3gmshUZirlPSrm3FRifymYZ1RNL/+FweJZsbhL1lY+qTBbhpaF/KlDyRJok3FYiw7cY8910JF4pQPicRJyFMHbj5Gq5Op4GpNKcf8U141tzxdvRrNw4dEbdmKw8CBButX1un4/vgkdJKEr9Ke2m51Ddb3m+pXtxTz99/m3wdRnA6IoJ5n+hKzz9avJ+Trb7CsX49Sixen269WqhlVaShfnf6OxZd+422vLthmUslKyJwkSbi5ueHi4oJGU/Tmi2k0Gg4fPkzTpk2L5FA1lUolnjS9pr/3jeORUqKYVqZv61mZtnP6cBQKayssatVCyuBapy5426NWCewsCs5Q9s9b/MCxfSM4LsVz4PyvtKxt2GF7AHFnz6J0cMzw5lpB9l/i9JipXWUUiqJ5Uye/EomTkKf2XU+5k93ap3DeNXEaMQKViwtqTy+DDtPbdfQ7zkmJmOlkPm3zk8H6zQ32lmq61yzJylNB/Hk0IMPEyaJePSSlEsnCAl1CAgozs3RtOpTtxpKT07ij0PH3vnGM6L7GEOEXSkqlskh+gVYqlSQnJ2NmZlYkEyfh9R17cgmAUaXaY2pmm2k7hVqN0/DhGe4LfBLLvhspQ9mHNCpYX/7d3RsxyLEmf0Rc4Id7/9CoxjBMlaYG6z98iR+PZ8zAsmkTSi1aZLB+DaFeGUesTU14EpPIlQeRVHO3M3ZIwgvy92BaoUDT6WSO+4cD0Ky8s5GjyRuSUoldz55Y1KxhsD7j4yKYdSclSRhqXw234rUM1nduGdrIA4A910O5Fx6bbr+6ZEm89uzG/eefM0yaAJQmaj6r+C5fhEcw9NohiBSL4gqCYBgL3znOnLLv0KnZlAz36xISsj3HkmMByDK0rOCCl7NVboeY54a3W4iLuQv3Y+6z/Npyg/Zt3aI5kqkpKrfiyEmFa80jtYmCBl4pNxSP3nli5GiEl4nEScgz10KiiIhNwsrUhOqF7I6J5tEjZJ0u+4Z5YO3BL3iklHDTygzx/dkoMbwpbxdrmpVzRpZhybHADNuocjDvomHdj+hvVwVVcgIcmpHLUQqCIGRMoTShVcPxmKgyvrFzf9SHBL07jMS7ARnuj4zXsPbcfQCGFrCnTaksVBZ8UusTABZfWUx0jOFKaKs9PPA+sB+3yZOQ1AVniGNONSnrBMDR2yJxym9E4iTkmdQ7JfU9HfJ9paBXISclETR4CIG9epN0L/16RHkpIf4pSx4dB2CEuy9m5vlzocScSC1Nvv7cfWITM18wWBsTy9M1azJet0OSoPVkADQXVvDs4fk8iVUQBAHgyOl5xMVkXUwlKTiY2FOniD11CkmV8YyIdefuE5ekpXwxaxp5px+uXFB08OyAl6kT0Zpo/tr3qUH7NnFwMGh/htS4bMoonXP3nhKfJMqS5yeF59uskO+k3ilp5O1k5EhyV8LNWySHhaEJCUHpaNg/eDf9d5EggZtWpnPTbw3ad25r7O1EGSdLohOT2Xgh42F2skbD3c6dePTNRGIOHsz4RKXqcb5sM7qVcOHbfaPzLmBBEIq0oKCjjL62iLfWtCT8ya1M26nd3fHasR23KVNQu7un26/Tyaw4mXLTbUCD0gW6oqNCUjDCrRkAf4dfQBMXYfAYkiMiCP1+OtrISIP3nVc8HC0oYWdOklbHqYBwY4cjvEAkTkKeSNBo9WXIUx85FxbmVSrjtWsnJef8hNLKsOPSq1Xuw87u2/mpwWRUppYG7Tu3KRQSA+qXBmD5iXsZPlGSVCps33oLtYcHkknmk/et640kyMSEc8nPePY046ExgiAIbyL8xFzckpPxUVrh6JT5It2QkjzZdeua4b6jd54Q8CQWa1MTutXIuIx5QdK20QTeS1Ty18MQVGfTV0HNa/dHfUjE0qU8+eVXg/edVyRJovHzm87HxDynfEUkTkKeOBv4lKRkHcVsTAvkpNfsmDg5YVGnjlH6trUtRSWfHkbpO7f1qFUSc5WSm6HRnArI+E6l06hReP6zFasmjTM9T1nvdvxU9h22v70XO/uCOV9AEIR87OFFalzfzeb7j5jS/McMm8iyTHJE9k9clp0IBFI+/yxNC35xY6WJmo/qT6BEshZO/AyJ0Qbt32nUKMwqVsS6tWEW4jWURs9vOh8R85zyFZE4CXniyJ0wABp7OxfoYQgvSrp3j8Tbt43Td2I0J8/9ZrSCFHnF1lxF1+d3XJefyHi+mMLcPEcLC7dq9AWWVmIhT0EQ8sC+lLmUqipv41Q645s4sUePcqdFS8Lmzcv0NMERcey7kTJHakCD0rkfp7FU7gGO3hD/lKgThi1aZNW4ER7r1hrtZmZeafS8st6NR9GERScaORohlUichDyR+mi5MA3TezR1Kne7dOXpGsOvF7ThwASG//sz41Y2M3jfeW3g8y8PO68+4lFk5iV8ZVkmev8BYo4czfJ8sk7HkdPzCl2SKQiCcZy/uJjVj0+jUaigxYRM20Xv2YucmIguPvPPsRWn7iHLKXM8C9VoDIWSZw1GMsbFiU53V2RbQCO3GXIdRUNxtDKlUnEbQAzXy08K30+aYHQRsUlcfRgFQMMCXC3oRbrERBSmZqBUYlm3rmE7T04kOmA/pjodtZ2qGbZvA/Bxs6GuhwNanczK00GZtnu2Zi33R44kdOpU5OSMq/DJOh3Dl9dj5PXfOXIm87u+giAIOfXLpV/5zsmBhRUagUPmQ4FdJ0/CfdFvOA57N8P9CRota84EA//dMCpMrKr155aZBU8VEicuLzF4/7JOx7MNGwkaNhxZWzgq0aXOcxLrOeUfInESct2xO0+QZajgao2LdcZrXBQ0ClNTSs6fh9eO7ag9PAzb+cW/GB56nx1PtXRvPtWwfRvIwIYpXyJWnQ4iKTnjJ0U2HTpgUtwN6zZtkDWaDNtICgUVLFKG/i2+viJvghUEoci4GnqBUyRgIsv0bPxNlm0lScKqaVNMMqm2+s/lEJ7GaShhZ04rn2J5Ea5RmajMmFRzDBub/ESrhuMN3r8uOprQGTOIPXqUyK1bDd5/Xmj8wnpOGS7JIRicSJyEXJf6SLlxIStDDqAuWdKwHSYnwZHZADg3/ARTM1vD9m8gvpVccbE2JSw6kZ1XH2XYRmllifeuXbh8OhaFuXmm5xrQ9FtMZJlzUiKX/v07r0IWBKEISL0B0750W9yK18qwTVJwcKY3c16UWhSiX71SKBWFY+7vy+pUH4qXVxuj9K20tcXl07G4fDEem3btjBJDbqvj4YDaRMGjqAT8w2KMHY6ASJyEXCbLsr4CTKNCML9J1mqJWLkSXWysUfo/enQqlxNCwaoY1BpklBgMQaVU0LduKQCWP/9ykRFJlXlJ8lTFilWlozqlSMTiC/NzJT5BEIqeoKgg9gbtBWBI9Q8ybCNrtQS//wH+b3Ug4fr1TM91MfgZl+9HolYq6FMn/dpOhVFw8DHiDbyuk32vXjgOHozCrHCMdjFTKanjkbLQ/VFRXS9fEImTkKsCw+N48CwetVJBvTIFf1XvqB07Cf12CgE9ehq82IAmKY4pdzfQv7gre6p2AlXmT1kKg371SmGikDgT+JRrz+fIZSbp3j0efTc107u8Qxp8CcABbSR3A/bneqyCIBR+fke+QSfraFqyKWXty2bYJunuXbQREWijolBlMSIh9WlTx6puOFqZ5kW4+cq8Db3otG8Eaw9+YdQ4CsPwtsbezoCY55RfiMRJyFWpv9g1S9thoS7461MoLC1QlS6FbdcuBq/as/Xach4qwVEr06TJ/wzatzEUszHDt3LKk6LlJwMzbSdrtdwbNJinK1YQtWNHhm08y7SihWSDLEn4nZyWF+EKglCIPQm7zuawswAMLZn50DPTsmXx3r+PUn/8gdLaOsM24TGJ/HMpBChkJcizUMLaHa0kseTRcRLinxq8//gr/xI0bDjP/i74w7VTqxOfvBuBRiuqxRqbSJyEXHX0dur6TQV/mB6AdYsWeG3bhsOQIQbtV6PTsMh/IwBDKg/BzNzeoP0by8D6KV8qNl14SGR8JgUglErs+/XDqkUL1J5emZ5raI1RAGxNDCU0+mHuBysIQqH11+GvSZIkqupU1CzbOcu2CnNzzKtUznT/6rPBJGl1VC1pS3V3u1yONH/q3PRbimvhiVJi3cEvDd5//KVLxB49Svgffxb4pSkqutlgb6EiJjGZi8HPjB1OkScSJyHXJGt1HPcPB6BxWWcjR5N7JBMTFKaGHVqxM2AnD2Ie4GDmQK+aIw3atzHVLeNABVdr4jVa1p27n2k7x+HDcP/1F8wrV8q0TfUq/ahpW5ZkCVbcXJUX4QqCUAjFRIewOuoGAEPL9850tEHSvYwX7X6RVifz18mUZRYG1C9daBaEz47K1JJhJVsDsCTkKBpNnEH7t+v1Ng6DBlLKb0mBX+NJoZBo6P1fdT3BuAr2T5OQr1x5EEl0QjI2ZiZUKVGwq79FHzhA9IEDRhkfLet0LD+fsvJ6f5/+mJsU7rlNL5IkST+UZfmJQHS6jK9/Tr98vFv7EwDW3lpLVFLW86YEQRAA1h36mmiFRBmtRIt6n2bYJv7qVfx92xE0YkSWawbtux7Kg2fx2Fmo6FSteF6FnC91bfYdTlqZx0qJ3cemG7RvhVpNsS+/RO1eOApxNBHrOeUbInESck3qnZCGXk4FutSqrNEQ+t1U7n8wksiNmwze//kry7ke9xBTWeZtr64G79/YulYvgbWpCYHhcRzJ5o+ENiaW8CV+xF+9muH+xiUa423nTawmljWnf8qLcAVBKESSEqNZ/vgkAENK+aJQZjxXN/7CRVAoUNrYIimVmZ5v+cmUp1K967hjpsq8XWGkMrWkj2MNAJYHbDHqkLmclIvPzxo9T5wuBj8jKqFgv5eCTiROQq5J/ZLbuICXIZc1Gmzat0Pl7o5Ne8OvBbH88iIAOpmWwN7SxeD9G5ulqQk9a6dUp1p2PDDLto9nzuTxjBmEL/o9w/0KScGQ5xO7V9xaS2JCZK7GKghC4bLtyLc8Vkq4aGU6NMl8wVuHd/rjtXsXzh+PzrSNf1gMR24/QZLgnXpFoyjEy95uMhG1LHNVoeViwG6D96+LjSV05g/4t2uPLs6wwwVzk7uDBR6OFmh1MqfuGrbEu5CWSJyEXBGbmMyFoJTKOU0KeOKksLDAZdw4vHZsz3Kh1bwQHHyC/dqUL/fv1B1n0L7zk3eeF4k4cPMxD5/FZ9rOvn9/1J6eWDVtmmmb9lUH46qViVTAxZNzcjtUQRAKkfjkOKx1MgNc6qM2zbhKXip1yZJZLoq+6lTK3KYW5V1wd7DI1TgLCgcHbzoWawDA8mDDJ06SWk307t1oHjwgaucug/efm1JvSqcW4RKMQyROQq44HRCBRitT0t6cUoXkD4RkYvhy6qtOTkeWJBpibrTV1/MDL2crGng6opPh7zPBmbYzK18Oz23/YNeje6ZtVCoLppXuyvbgh9S7vAl0mc9HEAShaOvXbgG7e+6hV8uM5+Roo6NJfpp9ee0EjZZ151MK3PSvVypXYyxo3qn/OQD7gvbxMMawFU4llYpi//sK90W/Ydutq0H7zm2p1YqzG8Iu5C2ROAm54sjz+U1NyjoV2KpBusREHk2dRlJQkFH6j4kOYUOMPwADfN4xSgz5Sb/nXzZWnwkiOYu1K3Ly81an8Re4qawh4i5c35prMQqCUPhYWbthYZHxyIkIv6XcadmKiGXLszzHzn8f8SxOQ3FbM5qXL3pDrl9U1r4s9d3qo5N1rLz4m8H7t27eHKumTQvsd5NUDbycUEhwNyw2y5EYQt4SiZOQK46lzm/yLrhlyJ+tWcvT5csJGvquUSaxbjo6mdjnlZwa1io6Jcgz41vJFUdLNaFRiey/8TjLtrIsE3P4MM8yK+ZhagV13wPg3vFZBX5dD0EQcteNm1s4cW5htp8N8RfOI8fHY+Kc9ZD0lc+H6fWuU6pAF0vKLQPKdARgw+31xMaEGi0OOTkZXWKi0fp/E7bmKqqWtANEdT1jEomT8MYeRyVwMzQaSYKGXo7GDue1mdeogWXTJjgOG2aUdR/8IwMAeKdEi0wrORUlahOFvkjEytNZPwWMPXKE4PdGEDp9OrrY2AzbyHXfY1wxFzqqn3H+StZ3iwVBKFp+OTWD9/5dwKKtg7Js5/7nn5TyW4J127aZtrkdGs3pwAiUConedQpHOew31dizAx5aiFZI7DFwafJU0fsP4P9WByL8lhql/9zQWKznZHQicRLeWOqdj8rFbbG3VBs5mtdnXrkSpRYtwq53L6P0P7HPLjY3nUOnLCo5FTV966QM1zt0K4zgiMwrIlk2aoRZpUrYde+OnJycYRvJyhkruzJIsszFoIN5Ea4gCAWQ/DQI18iHWOh0tKk6OMu2kiRhWb9+liXIU2/0tKzggqutWW6GWmAplCZ85tGZRSGhdLl5AIzw1F8XE40mKIjILVuMskZjbkgtEHHszpNM1zkU8pa4rS28sdTEKXWdgYLOmOOgPcu0Mlrf+ZGHkyWNvZ04eucJq88EM863fIbtJKUSj7Vrsn1S+F6zabyrTcTdvVFehCsIQgEknVvChPAIxthUxDyTz2DNo0eYODtnmTBBSlGI9edSikL0K+JFIV7WtPEEOL0cIgLg9i4o396g/du0TylJbtupU4Gd71SjlB3mKiXhsUlcfxRFpeK2xg6pyBFPnIQ3djogZU2BgjpML/b4ccL9/NDGZDzEK689fHiW0NDLRum7INAXiTgbjCarIhE5GF5ZvHhtkTQJgvCf5EQ4vwwA8zojMmwiyzLBI0fi3/4t4q/8m+Xptl0OISohmRJ25jQtW3Dn/OYJtSXUGgxA4smfDd69pFJh36cPCktLg/edW0xNlNQp4wDAmQCxnpMxiMRJeCMhkfHcfxqPQoKape2NHc5rCft5AY+nzyD8zz+M0v+Cg5/Tbkc/Vu380Cj953dtKhbDycqUsOhE9l7LflJx0r17hP28INuhGI9CLqDRFNwFEQVBeHMXTs3nkjYK2aYElH8rwzaaBw9JfvCQ5LAwVCVLZHm+v07dA6BvXXdRFCIDcp3hzLe3o6U2gJu3thk1loJaJKLO8+9aZwKzL4sv5D6ROAlvJPUXt1JxW6xMC97IT1mnw7ZrF0zLlcO+b1+D96+LCiEs6j7JkkRl92YG778gUCkV9MphkQhdQgIBPXry5OefiTt1KtN2k//2xXfXAA6c+ilXYxUEoWD58dZK3inuytqyDSGTojzqkiXwPrCfUot+w8Q+8xuENx5FcT7oGSYKiV61RVGIjEh27gQ5liZKqWTr5d+NEkNSUBDBI94naNDgAjnXSf/EKTCiQMZf0InESXgjqY+Ka3sUzKdNkkKBfa9elNm8CZWL4dfaUJxbwqJHoWzWOFGl0tsG77+g6Fu3FJKUsl7YvfDMh1QqzMyw7dwZq+bNUVhZZ9rOXm2LTpJYfWdjXoQrCEIBcO3hSS4rNJjIMi0bjMuyrcLCAos6dbJsk1qCvLVPMVxsRFGIzAyrN5555QYxpusao/SvsLAg9sQJ4i9dIsnf3ygxvInq7naolBKPoxMJjhDrORmaSJyEN3ImMCVxquvhYORI3oxRJopqEuDMnwB4Nhht+P4LEHcHC5o8ny+w6nRwlm2L/e8r3Bf+innlSpm26dXgSxSyzGkpEX//PbkaqyAIBcPqwB0AtCneCCenChm20UZG5uhccUnJbDz/AID+9UVRiKyUL9uBFg3GoTQxThVeEycn3KZOxWvHdky9vY0Sw5swUympUiKlKMTpQDHPydBE4iS8tsh4DTdDowGoVQCfOIUv8SPm8GGjPeq+fXYhTxMiwKYkVOhklBgKkn51U76MrDsXTFLymxWJcHWrQQtlyh+ev8+K4XqCUNREJkay/e52APpWfz/DNrq4OO609SVo2HCSn2Y9n+SfSyFEJyZTysGCRl6Fo8KsIWg0cSRrEgzer22njqg9PAzeb26p8/xm9VmROBmcSJyE13b+3lNkGTwcLXCxLljDEjShj3k8ezbB740g4d+rRolh0o2ltCpVggMV22Q6tl74TysfF1ysTXkSk8Tua4+yba+NieXp33+jS8j4j3KfigMA2BoXRGxM9ucTBKHw2HRxEQnaBMrbl6e6c/UM28SdOYMuKoqk4CCUtlmXff7r+fzLvnVLoRBFIXJk2fb3aLu8LvtO/mDUOHRJSUbt/3XU9vhvnpNgWCJxEl5b6i9snQI4TE9SmeDQvz+WTZtgXqWywfu/GXyEy4pkZKBq7Q8M3n9BpFIq6F0nZcJ16lyCrNzr359HkyYTtW17hvvr1XgPD61ErEJi69GpuRqrIAj5l06bzOqrKSXIexern+lQbatmzfDavYvi332X5ZPsqw8juRT8DJVS4u3nhWyE7EUmRvJEKbHu7laj9C8nJxM6YyZ3mjRFExJilBheV+3nlfX8w2IJjymY1QELKqMnTgsWLMDDwwMzMzPq1avH6dOns2w/Z84cypcvj7m5Oe7u7owZM4aETO4oC3nr7POKegUxcTJxcKDYF+Nx/+03o/S/9sEhAFo6VcfRKeNFXYX0etdxR5LguH84AU+yXnfLtlNH1GXKZLpmh6RQ0MctZU2nv0OOiOpEglBEHD/3K8FKsNbJdKgyOMu2anf3HBeFaFvJFScr09wKs9DrXvdTJFnmJPEEBR01eP+SiQkJV6+ijYwkcotxkrfXZW+ppqyLFQBn74my5IZk1MRp9erVjB07lokTJ3L+/HmqVauGr68vjx8/zrD9ypUr+eKLL5g4cSLXr1/nzz//ZPXq1UyYMMHAkQuJyVou3n8GFNyKemCcohBxmji23U1Zv6JnzVEG778gK2lvQfNyqUUisn7q5DBwIJ7b/sGmnW+mbTo3+h/mkgp/hZazoWdzNVZBEPKnv2+sBKCLZRksLDKej5TT4VuxiclsvvgQgP51RVGIV1GiRF0aSik3ttafMc5cU+cxn+D+20Ic3xtulP7fhH64nlgI16CMmjjNnj2b4cOHM2TIECpWrMjChQuxsLBg8eLFGbY/fvw4jRo1ol+/fnh4eNC2bVv69u2b7VMqIfdduR9JUrIOJys1ZZwKzircuqQkQmf+QFJQ9kO98squ25uJ0cTgbu1OPbd6RoujoOpXrzQA687dJzFZm2k7Sa3OtlCEtU0JOpbtCsCqG6tyLUZBEPKn+/dPcliXUtSod92MS5BrHj7kduMmPPpuKrI2888YgK2XHhKTmEwZJ0saeDnmeryF3dtluwOwKeommsSsRxHkBYsaNbBq1sw4lXXfUN0yzxfCFU+cDMpoM9KTkpI4d+4cX375pX6bQqGgdevWnDhxIsNjGjZsyIoVKzh9+jR169b9P3t3HR5XmT1w/HtH4+7WpO7u7l5aWtxlgUUWFpYVFlt2F1gBdtkfXtxbatSd0gJ19yZp0ri7jt3fH5NJCZlYOzN3kryf59ln6Vw7nU4y973vec/h4sWLbNy4kdtvv73J69TW1lL7s+7QZWVlABiNRoxGo4P+NlfOFoM7xNIW+5ILABgaF4DJZFI4mqb98v0tW7OGog8/pGzjRrps3oSkVrs8pm/2/wtUcG3YGMwmM2aa/2J2Z0p8fsd3DSDcV09ueS1bTmYxp39Es/vLskz13n3oevZAE9L46fJ13a/jmwvfsDNtJ5lFqYT5Rjsr9DZrr78f2gvx/jqXO76/y/b9E1mSGI0n0dFj7cZWvG4dlrIyai6cx2SxgKXpKp62me/rhka5/LvQHd/fthoz+EFCz31Gvlpi+75XmD5WuQwiue7fWtJYb43d/f0dHO0HwOnMUkorq/HSta8iU+70/rYlBklWKLE/KyuL6OhofvrpJ8aMGVP/+h/+8Ae+//579u/fb/e4//3vfzz55JPIsozJZOLXv/41b7/9dpPX+ctf/sILL7zQ6PUvv/wSLy+vq/+LdFLvnlVxpkTFtfFmJke2n7UhHmlpBO3YQXW3bhRPnOjy65dXHOWfppVoZJk/ez+CThfp8hg6gg1pKrZmqujtb+HBvk3f1ABEfL0Mv6NHKZw2jcKZM+zu80nJf0mkgOuMEQwOfcQZIQuCoDCzuYrXSv5OqVrFw4wiMqCJNhCyjFdiEhadjpr4Lk2eL6sS/nlCg0qSeWGoGT9l2hK1e0fz/4+V2lyGGtQsDmt8v+YKPidOErJ1K8UTJlA6aqQiMbSVLMNfjqgpMUg83NdMT//2cy/mbqqqqrjlllsoLS3Fz8+v2X3b1fB0165dvPTSS7z11luMGjWKpKQkHnvsMf72t7/x7LPP2j3mqaee4oknnqj/c1lZGbGxscycObPFN8cVjEYj27ZtY8aMGWi1WqXDaRWLRebZo98BJm6fPba+EZs7svv+/vrXyLKsyNT8P1a+AyaYqg5k0aJ7XX59R1Pq89u/qIqt//mB82UqBo2dRHSAZ5P7lqtU5F24QI9ePRk1d67dfTQ/HuFPl1axS5XN76dPQqtzj/TT9vj7oT0R769zudv7u/fw25SWq4g0y9x18+tX3YD17xvPAWlM7xPOTYsGOyTGtnC39/dKDc4OZ9V393FEZ+a5Cf2J83X9WrHi/AIK8/OJS0oi9oW/AO3j/d1WeYINJ3NQR/Rk7pRuSofTJu70/tqy0VpDsYFTSEgIarWa3NzcBq/n5uYSEWE/9ebZZ5/l9ttv51e/+hUAAwYMoLKykvvvv5+nn34alZ31DHq9Hr2+cZUbrVar+D/Uz7lbPM05l1NGWY0JL52agbFBaNSKF2dskTu8v1VVBWysTgeVxHV9b1U8Hkdy9fvbLdyfcd2D+TGpkNXHcnh8Rs8m9w2cPRv/KVNQ+/g0uc/MMX/gp/PfsKC4AM+U75D6X+uMsK+YO3x+OzLx/jqXu7y/E0c/yrqIQWQVnMbDs/HDEVsCTmseqtWazHx73FrC+uZRXRT9+7nL+3ulusSNZlz0eH7I/IG1KWt5fNjjLo8h+Ibr0eh0+C++FvUv3kt3fn9HdQ1mw8kcjqaXum2MLXGH97ct11fsjlen0zFs2DB27NhR/5rFYmHHjh0NUvd+rqqqqtHgSF23RkWUEnadg3VlyIfGBbaLQROAMT2Doi++wFzh+sWnNlt++hcVKolYM4wa/CvF4ugobhxhfSr5zaF0zJamf/4lrbbZQROAVu/Ni91uZHRNLdKxLxwapyAI7iM+fhJjhz9kd1v10WNcnDuP4mXLWzzP1tO5lFQZifT3YGKPUEeH2elc1/M6ANYkrcFodv2aF7WfH0F33N7id4W7sbWDOXKpGJO5+bR1wTEUvet94oknWLp0KZ988glnz57lwQcfpLKykrvvvhuAO+64o0HxiAULFvD222/z9ddfk5KSwrZt23j22WdZsGBB/QBKcD5b6cv2VIa85KuvyP3b38l+6k+KxbAifRsAS0KHo1K3qyxZtzSzbzgBXlqySmvYk5jfqmMM6ekYMjLsbxxym/X/k3dAaaaDohQEwR0Yastb3Kdk+XIMKSlUHz/e4r7LDqYDcP3wWNSq9leRzd1MjJlIqC6Aopoidu57Relw2s3D+J7hvvh6aKg0mDmb3fJnXLh6ig6cbrzxRl555RWee+45Bg8ezLFjx9i8eTPh4eEApKWlkf2zbs7PPPMMv/vd73jmmWfo27cv9957L7NmzeJdhZqYdlaHUq0Dp/bU+Fbfowe6hAQCrrtOkeufT9zACZUJjSyzaMxTLR8gtMhDq2bRYGsFPNtNTHMKP/6Y5JmzKPi/N+zvENyN9C6jeDXAj692P+fIUAVBUJDRUMncL8bwxGfjKSy40OR+4c88Q/izzxB0553Nni+9qIofkgqQJLh+WIyjw+2UtCot13pEAbAiabVicVSfPEX6Qw+T/9/XFYuhLdQqiWFd6sqSp4p+Tq6geJ7VI488wqVLl6itrWX//v2MGnW5r82uXbv4+OOP6/+s0Wh4/vnnSUpKorq6mrS0NN58800CAgJcH3gnlVlSTVZpDWqVxJC4AKXDaTW/axfRdcN6vCdMUOT6XeOn8J9ut/Bw0DCCQ5pejyO0zY0jYgHYdiaXgoraZvf1GjIEZBlzeXmTTxOPdhnOxwF+fJp/AIvZfcvsC4LQeoeOvEeuWuKosQR//6YLD6h9vAm69VY8ejX/O3r5IeuDmvHdQ4gNEtV5HWXJqN/T1WBkYmEWckGSIjGYcnOo2LmTkuXLkd2gTHZr2B5ii4GTa4h8IaFNbGl6/aP82l3PgJaaoTqTVuvF9PFipsnR+kT6MSg2gOPpJaw6ksH9E5uuKuQ5aBDdtm9DF9P0E+Lpo5/g+6w9zOuxAFkW+eKC0BGMSd7Lioxssgdei0brcVXnMpktfHPImu5re3AjOEZU1HDWePRDytwORz+DGa4vTe4zZQrBDzyA/8JrkNpJsYXLA6dixSoGdyaKzzgJ7YvticbwdpKmV3vuHF4XEttNvrLQdjfV3bx8fTC9xX/n5gZNAF5eIbx62x6mjv3DVZcqFgTBDZRlQ9I2ehmNTB7zB7u7VHz/PekPPUzl3r0tnm53Yj45ZTUEemmZ0Tfc0dF2etJw6xp3jn0BJoPrr69WE/b4b9F37erya1+pgTH+6NQqCipquVRYpXQ4HZ4YOAltcqiuol57Wd9U9M67xHzwAUVvvaVYDE98Np6319xCaUmqYjF0ZAsGReGlU3Mxv5JDl4pbdYylpgZjXp6TIxMEQWnmY5+DbIHY0RDSw+4+xV8vo2LnTip272nxfF8fsKbpLR4ag14jilI5XM/Z1PhEsFaq4sDB/1M6mnbBQ6tmYIy1n+YBka7ndGLgJLRaSZWB87nWqi3toaKeLMtooqIw6/X4zp6tSAznL6xnm6WU90pOYDTVKBJDR+ej1zB/YCRw+aamOWWbNpE4cRJ5//xXk/tkZR3ijdU3sen7vzgqTEEQXEy2WLgh6VP+FBpM3oBFTe4X9uTvCLrrLgKuv77Z8+WV17DjnPWBi0jTcxK1ho+6DeHp0GCWXlimWBjG3DwKXn2VsNXKFapoC1sW0CExcHI6MXASWu1w3dP8rqHehPg0birsbiRJIvQPv+fiM0+j66ZMR+34xJ38M6+AB7RRhIT0ViSGzsDW02nDySzKappf0KuNi8NSVkbNmTPIJvsFILYfe493y07zycU1jg5VEAQXOXziUy6o4TsvL3z6LmlyP323boT/6Y/ouyY0e76VhzMxW2SGxgXQM9zX0eEKdRaOepIuZhge0AvZosxaU3NRISUff4L/gYOY2kF2wsgE68NsW1aQ4Dxi4CS0mm0KeESX9pGmZyPrFFqrYqpFf2oVcyur+PVI+7n1gmMMjQugR5gPNUYLa49lNbuvZ79+dPn8M7puWI+ksV/gZMHoP6KRZU6rzJxP3OCMkAVBcLLVJacAmO3XAy+fsKs6lyzL9dX0bhrRdGU+4epFRQ1n3V3HeWDhZ4oVdfLo04eAO+8g6/bbUAcHKxJDWwyLs96XXSyoJL+8+QqzwtURAyeh1WxPMtpDml71iRNNNzp1lQtboLoYfCOh2xRlY+ngJEmqT52x3dw0x2v48Ga/kAODujFFHQDAmqPvOCRGQRBcp8JQwdaM7wG4dsLzdvep3LuX3H/+i9qLKS2e70BKESkFlXjr1MyrSw0WnEfJKrg2IU8+SWXfvkhq91/L5u+lpVfdLOjhSyJdz5mU/2QK7UKN0cyJjBIARia494yTLMtkP/8XkmfMpGLrVsXi+Ofh1/jA35fifotA5f6/eNu7xUNj0KolTmSUcjqrtFXHyLKMpcp+FaJre90AwLrKFAy1oiO7ILQnm1I3UWOuIcE/gUGhg+zuU/TZ5xR99BEly1peS2Nrsr1gUBTe+vbViqO9MtSWs3XP3zl/Yb3SobQLIxJsjXBFup4ziYGT0CrH00swmmVCffXEuXnDP0tlJZqgICQPDzxHjlQkhoKC83xlLuC/QYEU95qhSAydTZC3jpl9IwBYfrDlWafKfftIuWYh2c//xe72sUN/TZhZplQl8d2B/zowUkEQnG1N3c/s4oT5Tfa1CbjhenwmTSLgxhuaPVdptZENJ7MBURTClf615kZ+d3EZnx/6r2IxSEYjpStXkvXUnxWLobVEI1zXEAMnoVVsZZ5HxAe6fXM1tY8PcR+8T/cd21EHBCgSw8ZLWzFLEgPQ0zVhmiIxdEa2m5rVRzOpMZqb3Vfl7UNtYiIVu3djqWlc8VCt0bEwoK/1fBfFE09BaC+SkrZwwlyGRpaZHz2xyf18J08m9t13WuzZs/ZYJrUmC73CfRkcG+DgaIWmzOl9EwBba3OoqipQJAZVbS35L75E6erVVJ84oUgMrWWrrHc6q4zKWvuFj4SrJwZOQqvYnmC0l/5NAJog5WJdm2nNrb9m5O8Ui6EzGt89hOgAT8pqTGw5ndPsvh79+xH1r3/SfdtWVB4edve5dsRvAfiJKnLKmy86IQiCe1h91Nq3b6La3yHVTJcfsq6XvWFErNs/OOxIhg64jRgzVKkkduz/jyIxmH18CLzzDsL+8Ad08fGKxNBa0QGeRAd4YrbIHE0rUTqcDksMnIQWybLMkboZp2Fd3LswRM35C1iqqxWN4VzROc4Xn0er0jKn61xFY+lsVCqJJcNiAPjmUPPFQSRJwv+aa1D7+TW5T2zsWEaGD0cG1lxc68hQBUFwAmNtJesqkgFY3MN+CfKqI0coXrYcc0Vli+c7m13GycxStGqJRYOjHBqr0DxJpeKaYOv6tG/TlFuvHPzYYwTfc3ez3xXuwnaPdjRNrHNyFjFwElqUWlhFWY0JnUZF7wj3/cUhWyxkPPQQiRMnKTql/u0B65OxybGT8df7KxZHZ3V93cDpx+QCMortF36wR5Zlu68v6rEYgDVJa7DIyvQUEQShdXYdfJ1ilUSoWWbcsIfs7lP44YfkPP88BW+80eL5bA9gpvcJJ7gd9C/saK4Z/igAB+RqsrMOKxyN+xtUl0p6vK6Yl+B4YuAktMhWTa9flB86jft+ZEzZ2VCXRqHv0UORGIzGKjZm/wjAQu/mmykKzhEb5MWYrsHIsrVhZUtqzp8n4zePkv3MM3a3z+gyA1+tL5kVmRw8t9LR4QqC4ECr62aGr/HvjUZrPwXXe+QodAkJBFzXdFNcAIPJwuqj1oHT9cNjHBuo0CrR0SMZIeuRJYl1ChaJkGWZyn37yf3Xv5t8yOYOBsdaH9YeSy916zjbM/e9CxbcxrH0EgAGxQQoGkdLtNHRdNu6hfhly1B5eioSww+H3qJIJRFslhk7+F5FYhDghhF16XqH07FYmv/ykGtrKd+2jbL1GzBXVDTa7qHxYI4+HIC1oqeTILitgoJz/GSx/gwvGvabJvcLuuN2um7cgL5792bPt+NsLsVVRsJ89UzsEerQWIXWWxg3HYC1JWcVGwxYystJ//WvKfrwQ6qPHVMkhtboG+mPWiVRUFFLdmnjokfC1RMDJ6FFx20Dp1j3TzuTVCr0XZWb6VmbtAaAeb7d0Grdu2x7Rza7XyS+eg0ZxdXsSylsdl+PAQMI/e1vif9mOWofH7v7LOh5HQDnK7Ow1DYeXAmCoLyy8kxGSF4MlrXEx09qdt/WFHn45rB1tmnJsBg0anG7pJQZo36Hp9qDS3Itx/OPKxKD2s+PgCVLCLjxRkULT7XEU6eub4Rru3cTHEv8JhCaZTRbOJ1VBrj3jJOpoEDxaemS4hR2mUsAuGbw/YrG0tl56tTMH2RdyN2aIhEhv34Aj549m9xnUL+b+bxc4pvMLFTnNzk0VkEQHKNrwjSW3nmAD2/eY3d7zZkzVO7b36rvityyGnadzwMur5sUlOHlHcqM+JkAfJv8rWJxRDz7DJEv/AVdly6KxdAal9c5ta4RvNA2YuAkNOt8Tjm1Jgu+Hhrig72VDscu2WIh9dZbSbnmGmqTkhSLY+P+VzBJEn0sanr1mKdYHILVDXVrEjadyqasxnhV55JUKgb1uwkJ4MSyqw9OEASn0ertf1cVvPMuaXfdRcEbb7Z4jlVHMrHIMLxLIF1D7c9EC66zsNtCADanbKKmRgwImjMoxpodJGacnEMMnIRmnah7YjEoJgCVyj37VxhSUzHl5mHMykYbpVy52LV1RSGuiRitWAzCZYNjA+ge5kON0cL649kt7m/MyiLv1VfJe62JfiEDbwTAkLyT6pI0R4YqCMJVOnz8E3Jzm66mKssympAQVN7e+M6c2ey5ZFnmm0PpgCgK4S6GRwwnSuVJhbGS7xTq6WRjzMqi6PMvFM9yaYptxulkZmmLa3yFthMDJ6FZ7WF9k75rV3rs/p6Yt99C5aXMuqKS4hTyZRMaWWbuqCcViUFoSJKk+lmn5XU3Qc0xZmZSuPR9ij//HEuVnTLmwd34JLYvU2IjWPHTi44OVxCEK2Qxm3jq8L+ZsekWDh79wO4+kiQR8dyz9PjxBzx6NZ2WC3D4UjEXCyrx1KqZN1D0bnIHKknFAp+uAKxP3axYHJaqKpLnzSf373+n5tQpxeJoTo8wHzy1aipqTVwsEGtyHU0MnIRm2XoBDHTj9U1gXbjpPXKkYtcPCExg6x1H+GL03wkKar5Sk+A61w6JQa2SOJZeQmJuebP7eg4fjv91S4j8x8tIWq3dfXTRwyhTq/lJoQXKgiA0VpS0hUhjLT6yzMA+1zW7r8rDfonyn7Oti5w3MBIfvcYhMQpXb9GIx3i6oIiX0i5AWctZBM6g8vLCb+YMvEaNAot79vXTqFX0j7b23DyWLtIaHU0MnIQmVRlMXKi72RxcN/XrbmTj1a1dcSS1Rkff3ouUDkP4mVBfPVN6hQGXK2Q1RZIkov7+d/xmzmxy4DR39JO82+9B3rh1t8NjFQThyoSc28gn2XlsChiP3qNxdoQxJwdjdututKsMJtafyAJEUQh3ExMzhpsCB+BvNiu61jTyxRfp8snHeA4apFgMLbEV8zohGuE6nBg4CU06lVmGRYZwPz3hfi0/pXM1WZZJWbyE9EcewZiVpVgcxUXJmIyiX4K7sqXrrTqSidF8dU8I/QPiGTv8IdQanSNCEwThahmr4Yy16a3/kNvt7lL43lKSpk6j4J13WzzdxpM5VBrMxAd7MTLBfctOd1qDbrb+/7EvQaE1RpLG/WchB9oq64kCEQ4nBk5Ck467eePbmjNnqE1MpPKnvaj8lFuD9fLGe5jx2XB2/vQvxWIQmjaldxghPjoKKmrZdT6/xf3NFZWUrFhBycpVze5nMtZgMZscFaYgCFcg7fjnFBsrwD8W4sba3ceUnw+yjEf//i2eb3l9UYjYVvV6Elys3yLW+AVwq7aEU2dXKBqKpbaW8p3fKRpDUwbX3bedyS6j1mRWNpgORgychCbZ1jcNctM0Pc9+/ei6bi1Rf/8bah9lSqWbqos5UptPgVoiLEC5xrtC07RqFdcOiQZaVySi4vtdZD/zLPlvvIFstv+F8/aaW5jx2XAOn/jEobEKgtA2/zrzIVPjolnXbRSo7N/SxPzf/+i2bSveY5qveJpaUMmBlCJUEiweGu2McIWr5eHPT2HxnPDQs+H0Z4qFYTEYSJo+nYyHHqL69GnF4mhKbJAngV5ajGaZc9nNr+8V2kYMnIQm1Q+c3HTGCUDfowd+c+cqdn3NhS1sSs/knUo1/XovUSwOoXnXD48F4LtzeeSX1za7r+/06XgMGkjgLTcjm+zPKOVWF1Cgllh37iuHxyoIQusUlWXwo6UckyTRb8Ctze6ri41FUqub3WdF3TrICT1CifT3dFicgmPdNOBefh86hrsnvqRYDCqdDu8RI9BERWIuKFAsjqZIklRf1Ou4WOfkUGLgJNhVWFFLelE1AANi3LcUueJOfoMWGNf3JqQmnnYKyusZ7sug2ABMFpk1RzOb3Vel15OwbBkh992HSq+3u8/8PrcAsK0mh5rqYofHKwhCyzZn7rYOmryi6ZowtdF2S2UlFoOhVecyW+T6gZPo3eTehg66gzvmvkdYeMupl84U8dxzdN+2DZ9JkxSNoym2bKFjYp2TQ4k7PcGuE5nWEpZdQ73x97RfYUwpsixz6a67yXvlFUzFyt20GsuykJPr8psHXK9YHELr/Lyn09U2Lhw64DaizFChkth18H+OCE8QhDZaf3E9APP73WZ3e9Fnn5M4YSJFn33e4rn2JOaTU1ZDgJeWGX3DHRqn0DGpAwJanMVU0uC6/psnMkRJckcSAyfBLncuDFFz/DhV+/ZR9PkXila3Wf7ji8yJDuebmL4Q3E2xOITWWTAoCg+tisS8Co634otElmWqDh2ict/+RttUag3zAnoDyjZjFITOKqU4mZMFJ1FLauYkzLG7T+XevVhKS1vVGN3WrmDhoCj0Gve9GRasjMYq1uz4I7/5dKzis/6yLFObnKxoDPbYUvWS8ysor3Gf1i3tnRg4CXbZnlAMcsM0PY++fYl54/8Ie+IJ1L6+isWxMWcvmVoNtVHu28tBuMzPQ8vsfhEArDjccpGIkuXfcOm228l77TW72+cPeRCAHy3lFBUmOi5QQRBatGHXnwEY69+DYM9gu/vEffgBse+/j9/sWc2eq7TKyLbTucDl9ZCCe1OrdLx1aQO75HJ2H3pTsThko5GUJUu4OG8+tRdTFIvDnhAfPdEBnsgynMwUs06OIgZOQiOyLF+ecXLDinqSTofv9OkE3WG/Z4crpJelc0JlRAXMHvGoYnEIbXPdMOtN0dpjWdQYmy/R6jt9Gip/f/Q9uiPbWSfRNWEq/SxqTJLEpgP/cUq8giA0JlssrC8+A8CCgH5N7iep1fiMH4fKu/mqq2tPZGEwW+gd4Uu/KD+Hxio4h0qtYY5/LwA2pG5SLA5Jq0UbGoak01Fz5oxicTRlcH0/JzFwchQxcBIaySiuprDSgEYl0SdSfInYsyFlAwCjIscQEtpX4WiE1hrTLZgofw/KakxsP5vb7L6a4GB67tlN1IsvIunsN7xdEDMFgPW1yjVgFoTO5ujJz8lUg7dFZvLIxxptly1ta3RtKwpx3bAY0bupHZk36FcA7DGXUlqaplgc4U//mR4/7MF//jzFYmjKwLqsIdEI13HEwEloxJam1yfSDw+te+V65/7r3xQvX465olKxGGRZZsNF68BpXlf3+0UpNE2tklg81Fokwnaz1JymBkw2s8c/g1pSc6o0mZRS90rTEISOat3ZLwCYro/A0zOw0fbSNd9ycdG1lK5b3+K5EnPLOZ5egkYlsWiI6N3UnvTsPofuFhVGSWL7gdcVi0MXF4fazz0fMtuyhk6IkuQOIwZOQiOXG9+61/omY24uRR9/TM5zz2MuKlQsjrOJ60gtS0Wv0jItbppicQhXZskw68Bp94V8cstqWnWMMTfXbv56sGcwY6PGApcrfAmC4DyG2nK2VFtbCizofYPdfUrXraX23DmMmc23HgBYccT6AGVyrzBCfOy3HxDc17yQIQBsyPxe4UisLDWt+05xlQHR/qgkyCqtIa+V33dC88TASWjEVvN/oJtV1FN5eBD2uyfwX7wYXVycYnFsPP4hAJMkb3x0PorFIVyZhBBvRsQHYpFh1ZGWb6yKly8nacpU8l571e72eXUVvTad/qLNKUKCILTNj0fepVwlEWaWGT7wLrv7xPznP4Q/+wz+1y5q9lwms6X+d4Do3dQ+zR32CACHqCEn97hicZgrKsn4zaMkTpiIubxcsTh+yVuvoXuY9T6lNdVkhZaJgZPQgNkic6qu+spgNysMofb3J/jee4l66UXFYjCbDGwqTwJgbtf5isUhXJ3rhtnS9Vru6eQ1ZAhYLFgqKpHNjQtKTAkfhYdFJt1cyelzq5wSryAIVpuS1wEwy7cbao39VFp1QABBt96KNrz5fkx7EgvIL68lyFvHlF5hDo9VcL6oqOEMlfXIksTmFOWKRKi8vahNuYilvJzKH35QLA57bG1lRLqeY4iBk9BAUl4FVQYz3jo13ULFbMovHT75KXlqCV+LzIRhDykdjnCF5g6IxEOrIjm/ssWu6voePei+cwddPv7IbrNDL58wJmuD6FlroCJpq5MiFgQBYE63BUxX+TNvwJ1XfS7bOseFg6PQacTtUHs1b9TvANiQf1ixGCRJIuKZZ0n4dg1+c+z3FVOKbZ1TS991QuuI3xRCA7b1Tf2j/VGr3Ke6UOm331J54IDiqVAbzi0DYKZHFDq9cj2khKvj66FlTv9IoHVFIrRRUc1u/9uQx1mZlcPoxD0g0vUEwWmmjHmS/9z+A/16L260rergQTIef5zKn35q8TwlVQa2nbFW1rTNQAvt08yEOWgkDeeKzpFcolwjWu/Ro/Do1Uux6zfl8oxTaYsZFkLLxMBJaMBWstKd0vQstbXkvPgSaXfcSdXBQ4rFYagtZ1tNNgDzet+oWByCY1xfd7O09njLPZ1sZIPBbv66R6+5oPeH8ixIa/mmTRAExytZtZryTZsp27ylxX3XHbf2buob6Ue/KPcqhCS0TYBHAOOixwGw4dhShaNxP70ifNFpVJRWG7lUWKV0OO2eGDgJDdhmnNypMISlshK/WTPR9+iB14jhisWx59Cb9YuShw28+jQRQVmjuwYTHeBJeY2JrWea7+kEULJiBYkTJ1Hw9juNN2r00GcBVZLEqWMfOiFaQejcSkvTeHvNLaSmNl09LeiO2wm68w4CrlvS4vm++VnvJqH9m+edAMDGixsUzUwxl5WR9+qrpN54k+IZMjY6jYq+dT05j4t1TldNDJyEejVGM+eyrU/T3akUuSYoiMi//Y2Etd8iqZT7yJosRuLMMNevByq1RrE4BMdQqSSWDLX2bWlNup46IABzSQlV+/fb3X6h6xgmx0XzYPEBjEbxVE8QHGnHwf/xVulJHv/u0Sb38ejTh/CnnsJz4MBmz3U+p5wTGaVoVBILBzefhiu0D5MG3omnRaZIspCeuEGxOCS9nuKvl1F9/DhV+/YpFscv2bKIjqeLynpXSwychHpnssswWWRCfHREB3gqHU4jSnd0nzXhWdbfdZyH54kZhY7C1tPph8R8ckqb73HhM3EisUuXEr/sa7vbu/a5Dk8kfGWJ7OwjDo9VEDqzyMzjjK+q5prgIVd9rpV1vZum9g4jWPRu6hC8vEJ417s/u9IyiUtSrqeTSq8n7HdPEP3663gOVy5D5pdsD8PFjNPVEwMnod7xn/VvUnqQYlN97BjGnBylw6gnqVR42OlUL7RPXYK9GRkfZO3pdLT5WSdJp8Nnwngkjf3ZRo3Wg+Vzv2TDXceJixvvjHAFoXMqz2VM6iHezs3n7vHPN9pszM0j7/XXqU1p3KT6l37eu0mk6XUsQ4bci5csw+nVYDYqFkfgTTfhN2smKp39cvlKsC2/OJVZitHsHimE7ZUYOAn1TtQ1RxvkJuubZFkm65lnSJoylfJduxSN5cjxTzHUuk9TO8Fxrhtu6+mU0aaKQ/b2DQ8fqGg6qSB0SGfWgGyB6OEQlNBoc9n6dRS+/Q7ZTz/T4ql2J+ZTUFFLsLeOKb1F76YOpesU8AqBqgIMSduVjsatJAR74+uhodZk4UKuuJe5GuIbXqhnm3Fyl/VNlvJyNIFBSB4eeA0bplgcBQXnuPvov5j85RhKS1IVi0NwjrkDIvHUqrmYX8nRVvS5KF2/gZQl11G6ek2T+xhqy8nPO+24IAWhE1t76jNy1GoYcJ3d7fpevfGeNJGAJY1LlP+SbT3joiHRaNXiFqhDUWv4qccEFkdH8MLhVxQNxVJVRcnKleS8+JKicdioVFL9Q3GxzunqiN8aAgAVtSYuFlQCMCDaPQZOaj8/unz2Kd137kDtq1zPpPRTywgxm+mCFv+AeMXiEJzDR69hzoAIAL451HKRCGNGBjWnT1O6bq3d7Vv3/J3JX47hpS0PODROQeiMMjL287SmlNmxUZR0n2Z3H5/x44h7910CljRfTa+40sD2M3mASNPrqPRdp5Co07GnNheTsfl1q85kLi8n+9nnKP7sMwyXLikWx88NiLHe253KEgOnqyFKgwkAnMsuAyDS38PtFstqApVdUzTk4j62pWdROPXPisYhOM91w2JYdSST9cezeH5BXzy06ib39V94DSofH/zm2u8OHxc2kPKLy9htLqGiPAsfX1G1SxCu1OYLKwEYLnkSENLzqs61tq53U78oP/rUlWcWOpYh/W/lpaILTBz6ABqth2JxaMPDCbjherRR0aj83OOz1i/KGseZrDKFI2nfxIyTAFgr6gH1tf6VZszLQzYYlA4DyrIgbS8qIHTQrUpHIzjJ6IRgYgI9Ka81seV088VItJGRBN12K5qgILvbe/WYT4JZwiBJ7Dz4hjPCFYROY1NFMgBzBt/faJtsMlG6bh2WyspWnWuF6N3U4anUGhZMeRF//zilQyHyL38h5P77FH/4a2O7vzuXU4bZ0vr1vEJDYuAkAJefQPSNco+BU85f/8qFCRMp27pV2TiOfY4JGWJHg7/4su2oVCqJxUOt/74r6ypuXSlJpWJO0AAANqbvuOrYBKGzSi5J5kLxBTQqDdN739Boe+WPP5L1+z9wceGiFgu7nM8p52RmKVq1xMLB0c4KWRDcVpdgb7x0amqMFlIKWvewQWhMDJwEwL1mnGSjkdqz57CUlqLrEq9oLL9L/oppcdEcTBipaByC89ma4bampxNA5d69ZP7uSapPnmq0zfZ0fJ9cSVFRkmMDFYROYtN5a5reuKhx+Osbr721GAzounTBZ+qUFlto2Ho3TekVRpC3+5SJFpxj3XdPc+tHQ9m65++KxiFbLFQdOkTpeuWa8tqoVRK9I6zrxW33fELbiYGTgNFs4VyOtTylO8w4SVot3bZuocuXX+DR6+py2q9GRtZhTqhMlKhUJAy4RbE4BNf4eU+n1UdbnnUqWbmKsg0bKF2zptG2+PhJ9LGoMUsS2w7+zwnRCkLHJlssbDr9GQBzggba3cdvxgy6bt5E2OOPN3suk9lS/zMt0vQ6h+Si85xQGdmculnROKoOHOTSbbeT+7e/ucXyA9s93mlRIOKKiYGTwMX8SgwmCz56DbGBXkqHA4CkVuM1dKiiMWwpPAbACN94QkL7KBqL4Bq2m6oVh9NbTP0JuP56Am+7rckSyHNDrV3jN2b/6NggBaETOHN+NWlq8LDITOmxqMn9JElC5enZ7Ln2JBaQX15LkLeOyb1E76bOYHb/OwDYbSqhsqL5davO5DViOLqEBHymTsXcyrV4ztQ30jpzKwpEXDkxcBI4k2198tAn0heVqvl0B2eTzWZFr/9zW1K3ADBrwJ0KRyK4ypwBEXhoVSTnV3I8o/knct6jRhLxzNN49O1rd/vsYY8AcEQykFOp3Be3ILRHG099CsBkbRBePo0HOzUXLrS6YfWKujS9hYOj0GnEbU9n0KvHfOLNUKuS+O7Qm4rFIanVdN2wnqiXX3KLIhF9f1ZZry0N34XLxG8Q4XJhCDdY31T08cdcXLyYss3KTq+nlqZytugsaknN9LjpisYiuI6vh5Y5/SMB66zT1YiIHMzQMOus6eYUZT/PgtCeWMwmNpfXVdPrOr/RdkN6OinXLOTivPlYamubPVdplZFtp3MBWDJUpOl1FpJKxezA/gBsSVO2SI+kcp9b7V7hvqgkKKw0kF/e/M+OYJ/7/GsKiqkvDOEG65vKNm2m9sxZzKXKTiNv3v0CAKMDexPoofxTIsF1bDdX645nU2NseQbUcOkS+f/7P0zFxY22zUmw9nqyzV4KgtCyY6e+JE8t4WuRGT/swUbba86dQ/L0RBsRgUrffN/BdSesvZt6R/jW97EROofZA+8B4AdLGaWlaQpHA8bcPGqTlC0W5KlT0zXUB4DTokDEFREDp05OluWfzTg1rlrkarFL3yPiL8/jN2umonFsyT8MwGyvLorGIbjemG7BRPl7UFptZMfZvBb3z/jt4xS89RZlmzY12ja9y3RUSJwqPEVGxj5nhCsIHc7mc8sAmKIPR6f3bbTdb8YMev6wh4gX/tLiuX7eu6mlyntCx9Kt2wy6W1SYJImdh5TtqVeyeg1JkyeT+/I/FI0DLmcXiXVOV0YMnDq5nLIaiquMqFUSPcJ9lA4HTWAggTfdhDogQLEYEpM2k6SW0coyU4c/olgcgjLUKolr60qT20oYNyfg2mvxnjABXVzjQXaIZwgjsD4R33r0PccGKggdkNlkYFvlJQBmdbumyf1U3t7oYmObPVdSXgXH0ktQq0Tvps5qTog1XXpL3WdKKV5Dh4AsIxsMyCaTorHUr3MSM05XRAycOjnbE4fuoT54aNUKR+MeNp/8CIBxKj/8/Jv/YhY6Jlu63vcX8skrb76nU9AdtxO39D18xo+zu3125HiG1tQQnXPW4XEKQkf04oAHuVEfw5jBv2q0raU1TT9ne/AxuWcoob7Np/QJHdPsSda0+30l5ymqKVIsDl2XLnT/fhddPvsUSaNRLA64PON0Vsw4XRExcOrkbAMnpXO/q44eJfOJJ6jY84OiccgWC1uKzwAwJ26GorEIyuka6sPQuADMFplvj2Zd1bmWjP0zn+QUMivzDBQmOyhCQeiY1BodY0c8zDM3bUKr926wTTYaSZ4+g7QHHsBUUNDsecwWmdVHrL2blojeTZ1WnF8cfYL6YJbNbL+0XdFYtOHhil7fxjbjlFJYSWWtsrNf7ZEYOHVy7lIYonTNt5Rt3ETZBmW7a59LXMelut4hk4c/rGgsgrKuG2adbVxxOKNVZVstVVWUbd3aaF/JJxQSJlr/cGaNo8MUhE6j6uhRTPn51Jw+02I6949JBeSU1eDvqWVaH9G7qTOzFenZfPIThSOxko1GzBXK9XQK8dET7qdHluFcTrlicbRXig+c3nzzTeLj4/Hw8GDUqFEcOHCg2f1LSkp4+OGHiYyMRK/X07NnTzZu3OiiaDue+oGTwqXIA2+6kaA77yTguiWKxrHplPUX6wRNoN3eIULnMW9gJDqNivO55ZxuIaVBNhpJmj6DzEcfo+bU6cY79F9MsUpVv+hdEITGjp38gle+WcTZ89/a3e49ciRdN24k6qUXW0x3sqXpXTMoCr1GpKF3ZrNCreucDlVcIj/vlKKxFH/1FYkTJlL00UeKxlFfIEKsc2ozRQdOy5Yt44knnuD555/nyJEjDBo0iFmzZpGXZ7+SlcFgYMaMGaSmprJixQrOnz/P0qVLiY4Wiz6vRHmNkUuFVQD0UXjg5NGnD+FP/Qmv4cMVjSMhoDt9Ler6J1RC5+XvqWVWvwjgcmWupkhaLd6jR6ONjcVc3DiPvqr7NGbGRvF7XTUpqd87JV5BaO++Pf0pn1Qls+xI0w1L9V0T8Jk4sdnzlNUY2XzK2nT6OpGm1+lFhQ9ioEWLn8VC8smvFI1F5e2NuaSEyn3KVln9eSNcoW0UXaH22muvcd9993H33XcD8M4777BhwwY+/PBD/vSnPzXa/8MPP6SoqIiffvoJrVYLQHx8vCtD7lBsU7RR/h4EeusUjsY9XDvtX1zLv5AtFqVDEdzAkqHRrDuexbfHMvnz3D7oNE0/a4r46wuovL3tljz28otmmMqHIkstpeUtV+oThE7HbGJadjKVOgvzRl93VafaeCKbWpOF7mE+DIxRvs2GoLxXut9EyI4X0Vqaz2pyNt9p04j94H28R41SNA5b+xkx49R2rR44ZWVlERUV5bALGwwGDh8+zFNPPVX/mkqlYvr06ezdu9fuMWvXrmXMmDE8/PDDfPvtt4SGhnLLLbfwxz/+EbXa/lR8bW0ttT+rwlNWZv2QGI1GjEajw/4+V8oWgxKxnEi3NuzsHeGr2Hthqayk+OOP8Z07F11CgsPPf1Xvr7nl5qednZKfX1cYHR9AuK+e3PJatp3OYmbfZhb36vVYmikz++/F6/HwCABa/3519PdXaeL9da62vL/Sxe8YX5rPOK9gTP1vb3RMzp+eQh0YSMCdd6CNiGj2XN8cSgfg2sGRmBQu/exM4vPbeiH9bkKz4yXIOICxIAX8W56JdMr7q9OhHzkSkyyDgv9uPcM8ATiXXUZ1TS0atesT0Nzp89uWGFo9cOrXrx9vvvkmt9xyyxUF9UsFBQWYzWbCf1FlJDw8nHPnztk95uLFi+zcuZNbb72VjRs3kpSUxEMPPYTRaOT555+3e8zLL7/MCy+80Oj1rVu34uXldfV/EQfZtm2by6+5NUkFqNBW5Cq2Tsz38GEil39D7spVpP7uCXBSg8KW3l+LxURW6bdE+E5DowlwSgwdmRKfX1fp76sit1zFO5uPYkptxUykLKMpLsYUFOSwGDry++sOxPvrXK15fwenfUAXINVzICc2b22wTV1WRteNG5FkmWNRkRiDg5s8T341HE7TICHjW3iWjRs7fhsA8fltnXE+PQmuOM+hVX8lL3xRq49z6vsry06772mORQadSk2tycKnqzcToeDtsDt8fquqqlq9b6sHTi+++CIPPPAAq1ev5t133yXIgTcFrWWxWAgLC+O9995DrVYzbNgwMjMz+fe//93kwOmpp57iiSeeqP9zWVkZsbGxzJw5Ez8/Zdf1gHWUu23bNmbMmFGffugq7729FyhnwYQhzOqnTJnMqpAQSrJzCBo6hL7z5jn8/K19f4+d+pznThwlqOwIW27aj1ojUhdbQ8nPr6v0yKtgx//9xNlSNaMmTSW4mbRWU0EBmXffjSk3l4Rdu1DZeThTWZFLdt5xuned2eK1O8P7qyTx/jpXa99fo7GaTz98kulaLfGzHyUmfkKD7bLRSFVkJDUnT9H99tubveZ/ticBF5nQI4SbFw1zxF/DbYnPb9uc3HOUWy+WE6g+ymdzW25I7sz3t2zVKkqXLSf4sUfxGjvWoedurc+yDnAkrYSQHkOYOyjS5dd3p8+vLRutNVo9cHrooYeYM2cO9957L3379mXp0qUsWLDgigIECAkJQa1Wk5ub2+D13NxcIpqYho+MjESr1TZIy+vTpw85OTkYDAZ0usY3NHq9Hr2+ceM7rVar+D/Uz7k6HqPZQmKutRzmwNggxd4L/3Hj8B9nv3GoI7X0/tZc2k2CwcgA7yg8PL2b3E+wz91+nhypb3Qgg2L8OZ5RysZTedwzvumUUk1EhPUJokXGnJiI/hfFTg4cfZ8Hj/+XWIuKNb1a/6CgI7+/7kC8v87V0vu77+g7vOnrwVfeEexMGI9G84t9tVp006fD9OnNXsdikfn2eDYA1w2P6zT/puLz2zpxA24iJ20FJbKJyooMAgJbtzzAGe+v4dw5as+coXLjJvwnTXLouVurX5Q/R9JKuJBXqejnxx0+v225fpuKQyQkJLBz507eeOMNFi9eTJ8+fdD8oiTokSNHWnUunU7HsGHD2LFjB4sWLQKsM0o7duzgkUcesXvMuHHj+PLLL7FYLKhU1nzMCxcuEBkZaXfQJDQtOb8Cg9mCr15DTKCn0uEoy2JhQvJexpdnU3vjK0pHI7ih64bFcDyjlJVHMpodOEmSRMzrr6ONiUHt49Noe59uc5CP/5dktUxi0mZ6dJ/tzLAFoV3YkrsfgBlecVc1278vpZDMkmp8PTTNr0cUOqWQ0N68P+hx+ve6Fk8v12dN/VzgDTeg79YdvznKfQfUV9YTBSLapM1V9S5dusSqVasIDAxk4cKFjQZObfHEE09w5513Mnz4cEaOHMl///tfKisr66vs3XHHHURHR/Pyyy8D8OCDD/LGG2/w2GOP8Zvf/IbExEReeuklHn300SuOobOylaDsE+mHSuX6/FqAij178Bo6FJW3wjM86fuhPBtJ749Hj5bTp4TOZ8GgKP62/iyns8o4m13WbPl+j969m9zm6xfNOJUfu+Rytpz8WAychE7PaDays/wiALPG/KHR9uLly5FNJvzmzEETGNjsuWxtA+YPjMJDK3o3CY2NGHKv0iEA1hYsHn36KBpDfS+nrDJkWbZbEVZorE2jnqVLl/K73/2O6dOnc/r0aUJDQ6/q4jfeeCP5+fk899xz5OTkMHjwYDZv3lxfMCItLa1+ZgkgNjaWLVu28PjjjzNw4ECio6N57LHH+OMf/3hVcXRGtoGT7YmDqxmzski/734kLy967P7e7tN5V7lw/FPiJAmP3nNBrG0S7Ajw0jG9bxgbT+aw8nAGz8zv26rjZLMZ6RcVP2fFTWPXpTVsKT7DwxYLkkrxPuSCoJifsn6i3FhOqGcoQ2N+sbbJYqHgnXcwZWWjCQrCb3bTDxoqa02id5PQJiZjDRqth9JhKKZXhC8qCQorDeSV1xLu13nfi7Zo9cBp9uzZHDhwgDfeeIM77rjDYQE88sgjTabm7dq1q9FrY8aMYZ/CjcM6AtvUbF+FGt8ac3LQdemCJixM0UGTxWzi1wV7qIyL5uP4kSj7/EdwZ0uGxrDxZA5rjmXyxzm90TZTvtWQmkruP/+FubiY+K8bNlycMvxhdKmrSVXDhaRN9Orp+KIogtBebDm/AoAZXWagVjV8yCCbTATdcQcV23fgM3lys+fZeDKbKoOZhBBvhsYFOClaoSNY993TvJ+yjkVhI7h7/geKxSFbLFR8/z3lW7YS8ewzLs++8dCq6RbqQ2JeBWeyysTAqZVa/ajTbDZz4sQJhw6aBGXIsnx54KTQjJPX0KF03byJmDf+T5Hr2xw9v5J8tYQaie59b1Q0FsG9TewZSoiPnoIKA7sv5De7r8rPj4rdu6k+dgxDenqDbd4+EUxQW5sPbjn1sbPCFQS3V1tTynfp3wEwO3hwo+0qnY7gu+6iy+efofJo/qZu5RFrmt51w2JEypHQrCpDORfVMlvzW7cm32kkidyX/0HpmjWU25kocAWxzqntWj1w2rZtGzExYvq7I8guraGkyohGJdEjXLnZHkmSUPsr29V9S3kyAFMiRqLVi2p6QtO0ahWLBlubgNvWUjRFExRE5N//Ttf169DFxjbaPituBgBbSs4hW1rRG0oQOqCfji6lQiURZpYZlDDjis+TXlTFvotFSBJcOyTagREKHdG0YQ+hkmVOqUxkZCiXwSRJEoE330zg7bfj0bOnIjH0i7q8zkloHZFc3wnZfkC6h/mg17h+Aa2puBhZll1+3V8yW8xsv7QdgFkD7lI2GKFdWFK3dmLH2TyKKw3N7htw7SL03bvb3TZp2EN4SBrS1HC22H7Db0Ho6DZfXA/ATN+uqNQNVw5UnzxF5d69yGZzi+dZdSQTgLHdgokK6ORVYoUWhYT0ZgTWz8m2Y0sVjSX47ruIePrP6Hv0UOT6fSOtD6/FjFPriYFTJ6R0ml7a3feQPHs21SdPKXJ9m6N5R8ivzsdX68uYyDGKxiK0D30i/egX5YfBbGHdiawrPo+XTxgT4qYAsDl1s6PCE4R2o6a6mF2GAgBm97ml0fbC994j7e57KHjzrWbPY7HIrDhiTYcVRSGE1poZaW06uyX/sMKRKKtPpC8AqYWVVNSaFI6mfRADp06ovqKeAoUhTPn5GFJTMWZmoYtV9ktu6+6/AjAlqB9atWgeKLTOkqHWz21L6XoAhrQ0cv/5L/L/13gt36z4WQBsTd3qFjOwguBKPx55lyqVRIRZZmDfGxpt10RGoPL3x3dW8y0iDqYWkV5UjbdOzax+Ec4KV+hgpg17GJUsc1plJl3BdD2b2pQUStdvcPl1g330RPh5IMtwPkfMOrWGGDh1QqezSwFlZpw0oaH0/PEH4t5/H3VAgMuvb2M2GdhWkQLArMD+isUhtD8LB0ehUUmcyCjlQm55s/sa0tIp+ugjir/8EtlobLBtQvQEPCQNmRWZnDm/xokRC4L72ZKyCYCZvt3sluSP+POf6blnNx69ejV7HltRiHkDI/HSXXlfSaFzCQ7pyQipLl3v6HuKxmJIS+PinLlkPfUU5tJSl1/fdi94WqxzahUxcOpkSquNpBdVA8qVIld5e+M9epQi17Y5eupLCtQSvhaZMYN/pWgsQvsS7KNnSu8wAFa2MOvkPXoU/ksWE/ni3+EXlb68tF5MkKzFWbae/tw5wQqCG6qpLuZ7YyEAM/vc3OR+kq75vnpVBhMbTmQDl2eCBaG1ZsZY06W3GPIUjUMXF4dH3754jxqFubjY5df/eSNcoWVi4NTJnKtb3xQd4EmAV+dt9rr1/DcATNVHiGp6QpvZ1lKsPpqJydx0VTxJoyHqxRfxnTYNSdP4afi8+NlMqKpmYG4iiHQ9oZPQ6Xx5d8SfecCvX6M0PXNJCcbMzFadZ8vpHCoNZuKCvBgRH+SMUIUObNrYP6KSVJypuER6eXrLBzhR/LKviXt/Kbr4eJdfW5QkbxsxcOpkbD8YfRSYbcp/6y3S7r+fSoUbGJtNBrZVXgJgZrcFisYitE9TeoUR6KUlr7yWPUkFV3yeaaN+y1uFFUzLuwTZxx0YoSC4L5Vaw+D+t/DItV83StMrWbmKpGnTyfn7iy2ex7bOcPHQaFQq0btJaJtgz2BGRIwArGtNlSRplVtnbZtxOpdT3uyDQMFKDJw6mfrCEC5e3yTLMmXfrqVy9x5M+Vd+o+kIR099IdL0hKui06hYONjaL6aldD2wPkUv/noZFT/++IsTeUOPuv41Z9Y4OEpBaH8MGekgSei7d2t2v8ySan5Ktqb7iTQ94UrN7GItPrL19BcKR2Jlqapq1DTd2eKCvPDWqTGYLFwsqHTptdsjMXDqZOpLkbt4xkmSJGLefouQRx7BZ8oUl177l7aIND3BAWzpelvP5FJaZWx236LPPifnL3+h6ONPGm/st4gsjZrliatEM1yhw/vp4Jv85auZHDn+qd3tkc8/T/fvduI3f36z51l9JANZhlEJQcQGeTkjVKETmB46DJUsc6Y2n/T0vYrGUr5zJxfGjSf7mWddel2VSqrPQhLrnFomBk6diNFsITG3ArjcLdqV9F27EvrIw6h9lB2sDA4fzig8mN19oaJxCO1bvyg/ekf4YjBZWH+y+Z5O/gvmo+/dG+9xYxttq0mYxKLoKP7mJXMucZ2zwhUEt7D2wgpWGrLZdmFFk/toIyJQ+/g0uV2WZVbWNb0VvZuEqxEU1I0RkhfhJhOZZ1cpGou+Zy/k6mqMOdlYamtdeu3LlfVcX9WvvRG1OzuRlIJKDGYLPnoNMYGdt7v6vMl/ZR5/VToMoZ2TJIklQ2N4ceNZVhzO4NZRXZrcVxcfT9c1q+1u8/AOYYI2kCJTNQZjtbPCFQTlGWtYkp2Cpx7mDWvY9FaWZWSDAZVe3+JpjqQVk1JQiadWzZwBkc6KVugk/t3rLvw3P4XKtF/ROHQx0SSs/RZ9jx5IkmvX7NlmnM7XPVwXmiZmnDqR8znWnjM9wn1c+kNZc/YsuS//g+qTJ112TUFwhYVDolCrJI6mlZCcf+VfOP+6aQcf3XWIQf1vcmB0guBmkncyoqKY5w2e9P9FNb3qo8dIHD+BnJdeavE0Kw5bZ5vmDIjARy+e/wpXJ3DADagktbVAT9FFRWPx6NnT5YMmgJ7h1hneCznN9yYUxMCpU0msa9bZK9zXpdct/XYtRZ98QtFHH7v0ur9kNhn4ZuvjFOSfVTQOoeMI8/VgUs9QoHVFImSLhcr9BzDm5jZ4Xa3pvK0BhE7EVgCl70L4RTW9iu92Yikvx1La/BqLGqOZ9SesqbHXiaIQgiN4h0DCBExAznH36KknyzKyyeSy6/Wouy/MKauhtLr5NbudnRg4dSIX6qZge7h44OQzcQJ+8+bhv/Aal173l46c/Iy/Zm9n8frrMZsMisYidBy2NRarjmRitjTfiynr938g7c47KVlhf31HYcEFTp7+xuExCoLSDLXlvJr9Hcf0OuS+jdeXhj7+OHGffkLQPfc0e54tp3MorzERHeDJ6K7BzgpX6GQOdxnO1LhoHk1Vdp0TQMnqNVycO4+iz1w3iPPz0BLp7wFcfsgu2CcGTp3IhbofBtuUrKt4jx1L9Kuv4DNpkkuv+0vm1D0MqKllsj5CPOEXHGZanzACvLTklNXwYws9nbzHj0flZ78wy97D7zB1/WKe2v9XUV1P6HB+OvoeH/t48LvwcOSYEY22SyoV3iNH4tGrZ7PnsfVuWiJ6NwkOlDDgZspUKnIwUVqapmgslspKDCkplG/f7tLr2h6qXxDrnJolkoM7iRqjmdRCa31+V6fquQWLmdHJPzG6IhfTlP8pHY3Qgeg1ahYOiuKTvZdYcTiDiXWpe/b4zZuL37y5qHSNB+4Dey1Cc/INLqnhQtJGevVsvhyzILQnWwuOAjDDJwGV+spuPbJLq/mh7uHEElFNT3CgoKDufDHqBXp1n4dG66FoLH5zZqP288Vn6lSXXrdXuA+7L+TXP2QX7BMzTp1Ecn4FFhn8PbWE+rZctcgRZIuFklWrMRUWuuR6zZEy9kNFLnj4o+nq2l9GQsd33bBYwJpG1Fx+uEqnsztoAvD2iWC82t96nlP2e9wIQntkMBv4riwZgJnj/txgm6WykpQbb6Rg6VJkQ/Mp1KuOZCLLMDIhiC7Bogef4Fj9+ixRfNAEoAkOxv+aa5otye8Ml2ecxMCpOWLg1EnY+jf1Cvd1WcWW6uPHyf7zn0meO8+lixztOXXiM8pUEvSaByJNT3Cw/tF+9Ar3pdZkqV+43hJjTg6y2dzgtZmx0wDYVnJWpOsJHca+nH1UGCsI8wxjcNSoBtvKd+6k5vgJ67o/rbbJc8iyXF+ARfRuEpzJYjZhqO18g4deIlWvVcTAqZOwPUHo4cL1TXJtLR79++MzcSKSRrmsUIvFxBPF+5gUF8PJuKGKxSF0XJIk1d/MrWhFdb2M3zxK0pSpVB040OD1ycMfQifLpKrhQvImp8QqCK62/by14MmM+BmopIa3HT4TJxLx1xcIefDBZh/qHUkr4WJd76a5oneT4CTLt/6WmZ8M5ottv1U6FErXbyD9kUcw5uS45Hrdw6z3hwUVtRRVigJaTREDp07icmEI161v8h49moQV3xD10osuu6Y9BdVHyVdLeMrQu//NisYidFw/7+mUlNf8Ezt1UBDIMtUnTzV43dsngvEqa7reVpGuJ3QAFnM132f9AMDMwH6Ntqv9/Qm84QYCFi1q9jwrDqcDMHdApOjdJDiNLFvIVUtsyz+idCgUf/UVFdt3UL51m0uu563XEBPoCYh0veaIgVMnYZt6deXAyUZqJv3CFQ5KeQBMiRyDVu/anGGh8wjz9WCyrafTkeZnnULuv4/uO3cQcv99jbbNjLOuwdtachZZbr68uSC4u/zyXZSrJMLMMoO7zrmic1QbzKw/ng2IND3BuaYNewiVLHNSZSIr+7CisQTedBMhDz2I9/jxLrumLV1PlCRvmhg4dQJVBhNpRVWA60qRGzMzG63fUIJFtnDKaH2qP7PfbQpHI3R01w+39XTKaLankzY6Gm1UlN1tk4c9hE5Sk6qSSSpNckqcguAqZwzWanrTfeIbVdPL+89/Kdu2DUsLRSG2nsmhvNZETKAnoxKCnBarIISE9GYY1gIRO48vVTQW/wXzCX30UfRdE1x2TVuBiPNi4NQkMXDqBGxpQyE+OoJ9nF9RT5ZlLt19D4mTJlN9+rTTr9ecE/nHKJfL8dH6MCZqjKKxCB3f1N7hBHppyS2rZU9ifquO+eUDBm/fSMbFTARg2yXXpGgIgjMYasvZr7F+/8zsdX3DbenpFL77LpmP/RZzSUmz57ncuylG9G4SnG5mhPVeYVuB8ul6rtYrwvpwXRSIaJoYOHUCth+AHmGuSdMz5eZiLinBUlGBPj7eJddsyvYf/wbAJL+e6NSimp7gXDqNioWDo4GWi0RYDAayn32OxMmTMZeWNtg2M34mANvTt4t0PaHdOnDiIypUKkLNMkP639pgm6TVEnTPPfgvWIA2LKzJc2SVXO7dJNL0BFeYPuwhpLp0vZqai4rGItethS3+eplLrme7T7yQWy6+e5ogBk6dwOXCEK5J09NGRNDzhz10+eJzVN7K9dqwmE1sr0gFYHpgX8XiEDoX283d1jO5lFY139Op+tgxzPkFlO/Y2WDb5JjJ1nS9slQqqk44NV5BcJbtKRsAmOYd1yhNTxsRQfgffk/UP//R7DlWH7X2bhrdNYjYIC+nxSoINiGhfRhal66XWrGzhb2dy5iZRer115Pz179iKipy+vW6h/mgkqCkykh+Ra3Tr9ceiYFTJ1A/cIpwXWEISafDs1/jCkqudOLscvLUEt4WC6MH3atoLELn0S/Kj94RvhhMFta10NMp7PdPEvfxR/gvvKbB6z46H8ZivUlMqtrjtFgFwVmMxiq+M1gL80zvseSKziHLMt8cslbTszWZFgRXmBkzGYAftFWKxqGLicZr+HB8Z87EUuH89DkPrbq+ufSFHJGuZ48YOHUCF3JcV4rcnaZ2t561Tm2PNPmg1/srHI3QWbSlp5PPxIl4jx6NpFY32ragy0zmVFQyqSzTKXEKgjNptV58NO4VbjbGMqjPTQ22VezeTW1iYovnOHypmNTCKrx0aub0j3BWqILQyIyxf0RCIlXOI6fSNX2UmhL32afE/Pc/6OLiXHK9HmG2dU6iQIQ9YuDUwZXXGMkqrQGgpwvWOBW89Rapt91G+XffOf1azbGYTWwrTwagr26AorEInc+iIdFoVBLH0ktIyruyL5+Zox7nn0XlTCnLhPxzDo5QEJyva8I0+oU+gFpzeX2pbDaT/cyzXFxwDRU//tjs8bYHD3MHROItejcJLhTqFcrg0MEA7EjfoWgszTWGdoZeddlJiVf43dXRiYFTB5dYV1Ev3E+Pv5fz+ymVb95C9aHDjRa7u9rJsyvIUUt4WWTCfKcpGovQ+YT46Jncy7rg/ZsWZp3M5eUUfvAhmU/+vuEGD3/khMkAqM5+64QoBcH1zGVlePTvjzokBO8RI5rcr9pgZv0Ja++m60VRCEEBM2Kt9w7bT3+mcCRW5pISDJcuOf069SXJc8TAyR4xcOrgXJmmBxD73ruE//kpfKdMccn1mrL17FcATNIGo1aLBcWC69nS9VYfycRktjS9o9lM3n//S9n69Y3Sl8y9r+GCVssXyaucGaogONT+I+/x5OcT+fHQG422aQIDiX3rTbrv3IGka7rS6ZbTOVTUmogL8mJEvOjdJLjetKCBAByvzSMn55iisZSuXcuF8RPIfellp1/LVkgsMbfCrZZfuAsxcOrgbKXIXTVw0kZGEnTHHaj9lV1TNDJ2ElNVfszuOl/ROITOa2rvMAK9tOSV17KnrpyyPeqAAILvvYeIvzyPJjy8wbaKrhO5MTqCf+uNJF/c7uyQBcEhNp7/hi3mYnZf2tLkPqpmBk0gejcJygsN609/g0RXg5Hcs6sVjcWjb18wmTAVFTXq/edoXUN80KgkymtNZNct9RAuEwOnDs7VpcjdxaTRT/D67T8yYcRvlQ5F6KR+3tPJVhmsKWG//S2BN92E2s+vwes+vlGMNnowWfLBZBJfYEI7YDZyY1Yyd5eUMb/nDQ02GTMzMbeiMlhGcRU/JlsfNiweGu2UMAWhNX7LaL7NzGbQxX2KxqHv3p1u27aS8M1yu8WEHEmnUREfUldZTxSIaEQMnDq4ywMn5844GdLTyX722RYX+wpCZ3L9cGu63vYzeRRXGq7oHLNCnua1m3fTq6eYPRXagZTd9C0v5IlaDQP63dxgU+4//kHiuPGUrl3b7ClWHrb2bhrbLVj0bhIUVRIwxvof6fugrPn2Es6mi3VdSf5e4Zcb4QoNiYFTB1ZSZSCv3NrArIeTB07lW7ZQ8s0KCt9/36nXaYlssfDFpgdJS/tB0TgEAaBflD/9ovwwmC18e6z5suKywUD5zp2UrFzZ4HVJJX5NC+3ImTXW/++zAFSXK+HJZjOG9Azk2lr0vXo1ebjFIrPiiHWG9obhoneToKwaXRCWmJHUSBLpx9yjSIRssSCbTE69Ro9wW0ly0cvpl8Q3cgdm+8BHB3ji4+RSrl4jRxJw800ELF7s1Ou05PS5lfwj7weu2/FramuUrewnCHC5ItjyQ81X16s8cJCMhx4m79+vIBuNjbanp+/l2MkvnBKjIDiCyVjNixlb+cHTA3Pfhk2dJbWahNWrSPj2W/Q9ezZ5jn0phaQXVeOr1zCrn+jdJCjv+7jBTIyL5pmLy5UOhYKlS0maMpXyrVudeh1bllKimHFqRAycOjBXrm/yHDiQyOefx3/BAqdfqzmWi98xprqaKdpg9B6i6a2gvIWDo9GpVZzJLuNUZtODee/Ro9D37YP/woVYqqsbbNu1/xXm7ryfvx76l7PDFYQrduD4R3ztrePpsFDkuLGNtkuShEevns32pfmm7gHDgsFReOqcu5ZDEFqje98bqFapyLUYqKkuVjQWS3kFptxcync6t1dmz/pUvQosFlFZ7+dER7kOzFXrm9yGLDMwcQ/vleZjuU7cYAruIdBbx4x+4Ww4kc2Kwxn0j7Y/oJc0Grqusl92fGjvG9EkfUGiykJK6i4S4ic7MWJBuDJbC44CMM0zGo3WA2PdzKlsNCJrNC028iyrMbLplLV3k0jTE9xFRPhgVo37N927zlQ8dTpgyWI8hwzGe9w4p14nPtgLnVpFtdFMZkm1WGv4M2LGqQNz1cCpdN16DBnNpyG5RNYRKE0DrReqnrOVjkYQ6tnS9dYcy6TW1PZSsn7+sYyWrDPHW49/4NDYBMERTBYTO0vOAzBz/LMNtpV8+SXJM2Y2Wr/3S+uPZ1NjtNAjzIdBMSJjQHAfPbrPVnzQBKDr0gXfKVNaLOd/tTRqFV1DrZX1RCPchpT/FAhOk+iCHk6m/Hyy/vAHkqfPwFTQdK8aVzh69APy1GroOQt04umI4D4m9Aglws+Dkioj28/ktbh/7cWL1Jw92+C1mTETAdhadMIpMQrC1TiYc5Di2mIC9YEMjxrdYFvlzp0YMzLsrt37ueWHLheFaGl2ShCUYDRWKZ6u5yr16Xp5YuD0c2Lg1EEVVNRSWGlAkqB7mPPWOJmKi/EaORLPIUPQhIQ47TotkS0Wnsrbw/TYKPbFDFAsDkGwR62SuK6+SETzPZ2KvvySi3Pnkffafxq8PnXYQ2hkmQsqC6mp3zstVkG4ElvPfAnA1LipaFQNVwFEvfMOUa++gu+sWU0en5hbzrH0EjQqiUVDRO8mwf18uO4epnw+klXfP6NoHBaDgaIvviD9oYeRDVfW5qI1ekXYCkSIyno/JwZOHZQtTS8uyMupC2w9evakyycf0+WzT512jdY4c2kHmWrwkGHQoLsVjUUQ7LENnHYn5pNdWt3kft5jxoBGg6TTNegQ7x8QzyjJmjqx9YSyZf8F4edMxhp2pFsXq8/069Fou8rTE/9589AEBjZ5jm8OW9O9p/QOI9RX75xABeEqaNQaSlUSW3P2KxqHpNFQ8PY7VOzcSeWBg067To+6h+4iVa8hMXDqoC7UfdB7hLmmMISkUbbOyJbCkwBMjBiJp1eQorEIgj3xId6MTAhClmHVkaZ7OukTEuj54w/EvvlGow7xM6MnALC16JRTYxWEtjh04hOKVRIBFpmRvZa0+Xij2cKqI9aBkygKIbirmUMeBOAINeTnnVYsDkmlIvieewj7/e/R92j8oMJRbKl6SfkVmEVlvXpi4NRBXcizTq32inBemp4xLw+LE6eJW0uWZbZesvY0mNnnJoWjEYSmXf+zdD1ZbvqLSO1vf2H81GEPo0bFecnEpbJLTolRENpqa+JqAKZ5RKHRetS/XnP8ONHvf0D55i3NHr/rfD4FFQZCfHRM7hXq1FgF4UpFRA5hoEWLLElsO/KWorEE33M3wffegzY8zGnXiA3ywkOrwmCycKmw0mnXaW/EwKmDSnRBRb3cv79I4pixlG3c6LRrtMaZ/BNkVmTiqfFkQswERWMRhObMHRCJt07NpcIqDqQUtbi/paoK1c96OgUEJjCqbuH91lTnNkAUhNYwmWrZUW2dLZrZfWGDbeXr1uOdmEjV7ubX5NnW/S0eGoNWLW5LBPc1M2w4gOLpeq6gVkn1a+QviHVO9cRvqA5IluX6nFRnDZxki4Xa8+exVFaijevilGu01pY9LwAwwbcbnhpPRWMRhOZ46zXMHxgFXF7T0ZTCDz4gZfJkAn74scHrM7vMBKifZRUEJR05+RlFKgl/i8yIwQ3XlwbceScFM2bgd/31TR6fV17DznPWSpO2GVlBcFczhzwAKJ+uB9b+aJV791K+fbvTrnG5Ea5Y52QjBk4dUF55LWU1JtQqqb4Ov6NJKhVdN20kfvkyPPr1dco1WkO2WNhamgjArMB+isUhCK11/XDrzeGGE9lU1Jqa3E8TGopcXYNnesMqfFPjpqJG4lzROdLSfnBqrILQki3nVwAwzSMSrbZhGwhtbAxF06fhOWRIk8evOZqJ2SIzODaAHp2lWbvQbkVGDftZut7bisZSvvM70u6+h9x//7vZ1O+rIQZOjYmBUwdkm23qEuyFXuO8inqSSoXnwIGK9ts4c341mWrwtMhMGPaQYnEIQmsN6xJI1xBvqo1mNp7IbnI/3+nTifnqSzLvvqvB64EegYzCuo5k67GlzgxVEJplMZvYUWU/Ta81ZFnmm0OiKITQvsyMmQTAVmO+onH4jB+HJjISrxEjkGtqnHKNnuHWVD1RkvwyMXDqgGxPBnp1gqd3W858AcAEbaCopie0C5Ikcd3wlns6qby88OjfH+w8mLg2djrXl5UzMvu80+IUhJao1Bq+mv0Jfwgdy8jB99S/bi4vJ+fvL1Jz4gQ08yT8WHoJiXkVeGhVzB8U6YqQBeGqzRzzBwCOFJ0lv0q5wZPK25vuO3cQ9fe/o/J0zjIF24zTxYIKjGaLU67R3oiBUwdkezLgrLSHyn37uLjoWoo+VbZ308/T9GzrPgShPVgyNAaVBIcuFZOc3/KTPFmWkS2Xv7Rmj36S54rKGJh9FgqSnBmqIDQrMmoYt899t0GaXvnWbRR//jm5zzzb7LHL62ab5vSPxM9D69Q4BcFRIn0iGRgyEBmZ7WnOW1/UGs7O+IkO8MRbp8ZolkktEJX1QAycOqTzTp5xKt+2ndpz56g5p+zT7jMX1lib3lpkJgx7UNFYBKEtwv08mNzLWkbWlqrUlIAffiBt3nwq9+y5/KJXEHSdbP3vM6udFKUgXBl9j+74LViA35IldmdMAaoNZtYfzwIur/sThPZiZtxUALYe/0DhSKyMOTmYS0ocfl5Jkuofwp8X65wAMXDqcGRZ/lkpcuf0cAp55GEiX3qJwJtudMr5W2vL6c8BmKgNxMsrRNFYBKGtbBXEVh7JwNRMCoS2qAhjejplGzc1eN3SdxFH9TreP7/MqXEKgj0Hjr7Pg5+MZsuevzXa5jlwINH//heBd97R5PGbTmVTXmsiJtCT0QnBzgxVEBxuRvAgAA5X5yheXS/nr38lafIUStasccr5bfeSoiS5lRg4dTCZJdVUGsxo1RLxIc6pqKcJDCRg8bV4DhzolPO31oSu87hGG8qC7osUjUMQrsS0PuEEe+vIL6/lu/NN58mXjhpF+MsvE/Fcw7Sn8m4TuScynNd1taSkfOfscAWhgU3nv+EHKtmbsaflne34+qB1fd+Nw2NRqZQrMCQIVyIqajgDLRoG1BooPPetorHo4hNAkjCmpTnl/PWV9XLEjBOARukABMdKzrfmoMYHe3f4RoIjhtzLiCH3Kh2GIFwRnUbFkmExvLf7IssOpjGjb7jd/Qzh4fjOnYtK23ANiH9APNM1QWglTZPpUILgFGYTd2YkEq4xMmbS4w02lX77Ld7jx6MJbnoW6WJ+BQdSilBJ1BdKEYT25sMed6Lf/jzofoSJysXhv2ghfnNmowkNdcr5bU1wW7MetzPo2HfWnVBynvWD3S3UOWl6uS+/TNnGjVhqa51yfkHoTGwlmHeeyyOntO3lZP99225eunUnCfGTHRyZIDQjdTfxFYX82qBl0MDL6Xg1Fy6Q9cc/kTR9BpaqqiYPX1ZXTXJyrzAi/UXTcqF90vdfYv2PSz9Cea5icaj9/Jw2aILL95OphZXNppV3FmLg1MFcLLAOnJzR+LY2OZmiTz4l649/QjYaHX7+1pItFt5feydnz3/boNKYILQ33cN8GBEfiEW2rnVqiizLlK5bT9oDD2DMy3NhhIJgx+m6giR9rgH15cQVS0UlHgMH4j12LCovL7uHGs0WVh62ftZvHCF6NwntWEAsRA+nVAUXj32sdDQATrknig7wRK9RYTTLZBRXO/z87Y0YOHUwyXnWVD1nzDipPD0J/tW9+F+3BLWPc2a0WuPMhTW8XnyEO356muqaIsXiEARHuHFEHADLDqZjsdjveSNJEsVffEHl97sp39SwSIRssXDu/Fr2H3nP6bEKgtFYxdNZ29js7YWxzzUNtnkNHULC8mVEv/Zqk8fvOJtHQYWBEB89U3uHOTtcQXCqbXGDmBwXw9+Sv1E0DkttLVl/eorESZMwlzt2LZJKJZFQt2ZepOuJgVOH48wZJ21UFGFPPknk8887/NxtoUnexYzKKmZqg0U1PaHdmzsgAl+9hrSiKvZdLGxyv8DbbyPk4YfxmTq1wetbf3yR6/c9zT+OveHsUAWBA8c+ZK2nlpdDgpG6jLW7j0qvb/L4ZQetC9ivGxbT4dfhCh1f/wG3YpIkymUjhlrliieo9HqqT5zAnF/QsHWFg9gexl/MF72cRHGIDqS8xkhumXXtUVcnrXFSnCzT68J3vFZagDyp6aeagtBeeOk0LBgcxZf701h2KJ2x3e0/DPCfN8/u62MG3oUmeRlJakhK3kr3bqIZtOA8WwpPADDDKw6N1qP+9drERHQJCUiapm8rskur+f6CtYLkDaIohNABREYNY9O0pcTEjFY6FML+8HtUXl54DR3q8HN3q3sYb3s435m5xeOeN998k/j4eDw8PBg1ahQHDhxo1XFff/01kiSxaNEi5wbYTqTUdXUO8dHj7+nYLuzVx49Tc/48smw/lchlMg9DaRpovZF6zlI2FkFwkJvq1npsOpVDSZWhTcf6+ccyTmUtF7v1xEcOj00QbIwWIzuKrT1rZk24nHlgqa0l9ZZbSZw8BUN6epPHrziUgUWGkQlBHffhntDpuMOgCcB38mS8R45s9uHFlbL9vNqWg3Rmig+cli1bxhNPPMHzzz/PkSNHGDRoELNmzSKvhQXQqampPPnkk0yYMMFFkbo/W+5pNyek6eW9+hopCxdRslzZPN6fDr9LqkYDveaAVlRjEjqGAdH+9In0w2CysOZoZpP7ybJM9clT5P/vfw0eYsyKretiX3walH64IXRY+7P3U2YoI9gjmKERw+tfN6SkIGk0SFot2uhou8daLHJ9Nb2bRFEIoQOqqiqgsiJH6TCcoj5VT8w4KT9weu2117jvvvu4++676du3L++88w5eXl58+OGHTR5jNpu59dZbeeGFF+jatasLo3VvttxTRz/Jky0W1P5+SHo93uPs57S7gsVs4tnCvSyIjWJv7ADF4hAER5Mkqf5m8uuD6U3O7Mq1taTdeScFb71N9dGj9a9PHvYQWlkmWS2TlLzVJTELnc+Wk58AML3LdNQqdf3rHr1702P398R98AGSyv5txU/JhWQUV+ProWFO/0iXxCsIrvLOt7cxadlkVnz/bMs7O5ExJ4eC95ZS+P77Dj1vQt0D+YIKA6VVylVVdgeKrnEyGAwcPnyYp556qv41lUrF9OnT2bt3b5PH/fWvfyUsLIx7772XPS0sgqutraX2Zz2HysrKADAajRgVLKltY4vBEbEk5VoXJiYEezr87xb+2muE1tQgeXgo9r4dTd5EnlrCxyIzsN/trYrDke+v0Jh4fx1nXv8wXtx4lnM55RxJLWRgjH/j91etxmfBfCxlZVh0uvrXPTzDGKfyZZdcwaYTH/LrLlObuozwM+Lz23pGQyU7sveCSmK6V1e775kqNqbB6z9/f7/afwmAawZGopEsGI2ilcTVEp9f52rL++unC6BGJbE57xC3KPjvUXUhkfzXXkMdFITvbbchqdUtH9QKehWE++nJLavlfE4JQ2IDrvqc7vT5bUsMig6cCgoKMJvNhIeHN3g9PDycc+fO2T3mhx9+4IMPPuDYsWOtusbLL7/MCy+80Oj1rVu34tVEnwklbNu27arPcSxFDUgUpJxhY8npqw/KzayvWg9AH00vtu/4oU3HOuL9FZom3l/HGBCg4nCBildX7+XGbpdvLBu8v7aFv8nJ1v/V6Wnuyi7VCTYXnyF2wwYkSXJV2O2e+Py2LLdkM+UqiWCzhexkPRtTNgIgGY3I2ubX1K7euI3Np63fT1E1KWzcmOKCiDsP8fl1rta8v1pDP1TyLk6pTKxc+T88Pbu7IDI7zGYi+/WjqmdPzm3YgOzA9U5+qMhFxZode8kOc1xKuDt8fquaadj9S+2qql55eTm33347S5cuJSSkdWWon3rqKZ544on6P5eVlREbG8vMmTPx8/NzVqitZjQa2bZtGzNmzEDbwpdPc8wWmT8c3AFYuGHOJLoEOWZQKBuNyAYDKm/Hr5tqC7PFzH/X/BeA2yY8zITo1q1tc9T7K9gn3l/HCk4p4rYPD3G8RMtb0yahU8mtfn8rKoby8bprSNOY6DmuJz0Cergo6vZLfH5b7y/LXwcTzPDuwvz5l/s3ZdxxJ1gshD7zNPrevRscY3t/y4N6Y5aT6Bfly/3Xj3F16B2W+Pw6V1vf381ffMgBaqjwOsmSOY+6IMImLFjglNPuN58h8UAGvlHdmTvz6r9f3Onza8tGaw1FB04hISGo1Wpyc3MbvJ6bm0tERESj/ZOTk0lNTWXBzz4UlrouyRqNhvPnz9OtW7cGx+j1evR2ekpotVrF/6F+7mrjySmqotZkQadWkRDqh1rlmKfN5T/+SOZvHsXvmgVEvfiiQ855JY6l7aWgpgA/nR8TYiegVbftvXK3f++ORry/jjGuRxjxwV6kFlax9VwB1w6y/h609/6aioupPnYM3ylTAAgMjGVczAS+S/+OHRk76Bva1+Xxt1fi89s8Q2053xnyQCUxu/eN9e+VKT+fmhMnQJbRh4XbfQ9lGVYeywbgppFdxPvsBOLz61ytfX9nR43nQPZ2thYe41cd8N+jR7h1siGlsMqhnzd3+Py25fqKFofQ6XQMGzaMHTt21L9msVjYsWMHY8Y0firVu3dvTp48ybFjx+r/d8011zBlyhSOHTtGbGznrdRjq6gXH+LlsEETQPXhI8hGY7MNDV1h808vATDNt1ubB02C0F5IksQNdUUilh1suqyzMTubxAkTyXj0MUzFxfWvz4q3lujfmroF2SLWkAiOsffoUspVEqFmmSH9b61/XRMaSvfvdhL96itow8PsHnupAhLzKvHQqrhmUJSrQhYEl5s+/BHUssxZlZlLlxzfhLYtLNXVlO/YgTEry2Hn7FpfWa9zlyRXvKreE088wdKlS/nkk084e/YsDz74IJWVldx9990A3HHHHfXFIzw8POjfv3+D/wUEBODr60v//v3R6XRK/lUUlVxXUa+bgyvqhT7xOF3XryPorrscet62MBlr2F6dAcDs8FGKxSEIrnDd0BjUKonDl4pJyrNf+lUbGYlHz5549OyJ6WetGybHTkYvqUktu8S5xHWuClno4DYnWz9LM3ziUakbJqpow8LwmzOnyWP35VlvM+b2j3R4f0FBcCeBQd0YLVmXNWw5/p6isWQ+/gQZDz9C2caNDjunrdXNpcJKTObO+2BO8YHTjTfeyCuvvMJzzz3H4MGDOXbsGJs3b64vGJGWlkZ2drbCUbq/i3UzTl0d3MNJkiT03buji4tz6Hnb4sDxjyhSSQRYZEYOvkexOATBFcL8PJjSy/r0fsWRpns6xX36CQkrV+DRq1f9a95abyZK1ocnm0996txAhU7BaKxijyEfgDl9bm7TsRW1Jg4XWDMgbhS9m4ROYFbXeQBsNpcoGof3xAloo6KQ9B4OO2eUvyceWhVGs0x6cbXDztveuEVxiEceeYRHHnnE7rZdu3Y1e+zHH3/s+IDaocvNbzteN/atiasBmO4ZjUY0vRU6gZtGxLL9bC6rjmbRt4mWZWof+z/ri7stJObgG8wtvWBdYCKq6wlXQav1Yv2idXx/9F0G9r2x/vXcl/+BubSUoHvuxqNnT7vHbjiZg8EiER/sxciEIFeFLAiKmTryMf6auprEslQullyka4AyvUYDr7+ewJtvdmh1VZVKIiHEh7PZZVzMryAhRNmiYUpRfMZJcAxnNL9Nf+DX5P7jn5gKChx2zrYyGqvYXmPN0Z3dc4licQiCK03uFUqEnwfFVUaOFzX/xSebzRjS0ur/PH74wzxRaaJXURpkHHJ2qEInEBCYwMKp/6hP07PU1lKyahWla9ZgLi5p8rivD1pTrG8cHiPK4wudgr/en7FRYwHYnLpZsTgkrdYpP3O2rCbbw/rOSAycOoDyGiN55dYmv45K1TOkplLx/fcUff45koJrx/YdfZ9SlUSwWWb4wLsUi0MQXEmjVtWnNv2U2/Sv6ZrzF0iaPIVLd951uRiEzgt6zbX+96mVzg5V6IQknY7Yd98l6N578Box3O4+JzNKOZVVhlqSWTxEFIUQOo/ZsdYG5FtOfeoWRXqMP1sHe7VsWU22h/WdkRg4dQC2D3Corx4/D8csvtWEhxP9+uuEPvYoagX7XW1O+haAGd5xqDWdt/iH0PncNDIWlQRJZVJ98Zdf0sV3wVJTg1xVhTH9chU+c79r+dHTg5curcVsMrgqZKGD2bDrOW7/eCgbv3++weuSJOE1dAjhv/89ksr+bcSXBy4BMChIJshb/O4WOo8pkWPQyTIXzZUkXtyiWBymoiKS584jecZMLG1o8NqcbmLGSQycOgLbB7irA/NNVZ6e+M2aSch99znsnFfihoH3cbNHHAv636loHILgapH+nkzuGQrAskMZdvdR6fV0+fQTeuzZja5Ll/rXLQmT+H1YKF95qjly8jOXxCt0PJvStnFMMpJSdKFNx5XXGPn2mDXFely48k/cBcGVfHyjmKTyZ0x1NcakbYrFoQ4MRK6tRbZYqDl71iHn7BoiZpzcojiEcHVsH+BuYR2vMMSg/jcxqP9NSochCIq4aUQMO8/ns/poFn+c0wcPrbrRPh59+jR6Tav35jq/nlSZaggOSHBFqEJHU1XEc+nJbPXUMWHi/fUvl65bjzEzA/+FC9FGRto99NtjWVQZzHQN8aabX6mrIhYEt/HK4N+iWvUrMOyCWcoU6ZEkiZj/+x/a2FjUvr4OOadtOUhhpYGSKgMBXp1vNlkMnDqAiwWOnXGq3LsXQ0YGvlOnogkOdsg5BUFou4k9QgjUyRRXG9l0Kptrh8Q0u7/FYEBVtybxiSWrXBGi0FGdW0+YsZbbgnpAwpT6l4s++oiaM2dQ+foSdOutjQ6TZZkv91uLldw0IgapRAychM5H1Ws2aDygKBlyTkDkIEXi8Ojb16Hn89ZriPDzIKeshuT8SoZ16XwDJ5Gq1wEk5zl2xqno8y/IefY5ir/+2iHnuxI11cW8vHw+B499iMVsUiwOQVCSWiUxpi7VyXYzak/1qdOk3nobGQ/bb+sgCG1mKyzSf3H9S7IsE3jbbXiPHYvf3Ll2DzueUcqZ7DJ0GhXXDhZFIYROSu8LPWaSq1Zz9PBSpaNxqG5h1of0FzvpOicxcGrnzBaZlMK6gVOIYwZOXsOG4dG/P77TpjnkfFfih8Pv8GX1JZ4+8hqSJD6mQuc1OkxGrZI4mFrMhdxyu/uo/XypPnyYyn37MJeU1L9uMZs4fPwT1u78s4uiFTqCgoJz3F91hlU+3sh9r61/XZIkAhZfS9yHH6AJDLR77Jf7rUUh5g2IJMDLMcWKBKE92hc3iBmxUTyV972i1fWqDh8m4ze/If9//3PI+WzrnJoqWtTRiTvSdi6zuBqDyYJOoyI60DHNYYPvuZuEFd/g0bu3Q853JaIzDrOovILF/n2arNokCJ2Bvw6m9rIWiWhq1kkXF0fkP16m+/ZtqAMC6l8/cWYZdx17hZcvraW2RqRMCa2z7dAb7PX0YEVwOFJw6xt4ltUYWXc8G4BbRsU5KzxBaBcGDboHLxnCVTqKSy4qFoepoJDybdspXb8BWZav+ny2ynpixklol5Lr1jclBHujVnWQBoM1ZfRJ3M3fCor49dhnlY5GEBR30wjr2qZVRzKoMZrt7hOwaBHa8PAGrw3seyMRZpkKlcQPh992epxCx7C52lrafnbEmPrXqk+fpmzzZiy1tU0et+ZoJtVGMz3CfBjexf6MlCB0Fp5eQWxZvJFP7jpMUFB3xeLwHjeOkIceIvo/rznkfF1DbTNOYuAktEPJedYPri3n9GrIZjNVR48im+3fmLnMufVgroWQnhAxQNlYBMENjO8WTEygJ2U1JtafyG71cSq1htl+PQDYlLLRWeEJHUhOZQ5Hyi4iITFr4uX+TUWffELmbx8n79VX7R7386IQt4yKQ1KgipgguBt/f+VnXtU+3oQ++hs8+/VzyM+lbT19WlEVRnPnazcgBk7t3MUCa45pVwesb6o+doxLN9/CxfkLHDKde6WWn/iA0zotcv/rFCnhKQjuRqWSuHmk9QvYtobEnprzF8h6+ukGueyz+98OwPfGIqoqHNdBXuiYtqRaG3YOCx9GuPflGUx9QgKayEj8582ze9yRtBLO5ZSj16hY3EL1R0HobIqLksnOOqx0GA4R6eeBh1aF0SyTXuSYxrrtiRg4tXOOnHEyZmWj8vXFo39/xZ4WFhSc4yVLLjdFR5LRdbwiMQiCO7p+eAwalVR3g1pmdx9jVialK1dRvGw5sslajbJvz0XEmaFGJbHr8JuuDFlohzadtjZMnpMwp8HrIQ8+SPcd2/EYONDucbbZpvkDo/AXRSEEod5Xmx9h6tqFvLnrj4rGUX3yJHn/+S/G3Kt7gKZSSZ26Ea4YOLVzjpxx8l8wn54//Uj4U3+66nNdqa2JqzFLEv0tGmLjxikWhyC4mzBfD2b2s84ANFUkwmf8eAJvvZWY/70OamuzXEmlYnagtZfHpkvKdbEX3F9a2g+crs5FLctMDxvRaLukUtl9qFZaZWT9iSwAbh2tfGqSILiTXpEjMUkS22tzqKkuViyOnL//ncJ336Xiu51XfS5bI9zOuM5JDJzasbIaI/nl1oW6tg/x1ZK0WjRBQQ4515XYWHwagLmD729hT0HofG4Z2QWA1UcyqTI07m8mabVEPPsMXsOGNbjBnTPwXgB+sJRTWlXkmmCFdmfT0XcBGC15ExSYAIAxL4+aM2eaPW7V0QxqTRZ6R/gyJDbA2WEKQrsyuP8tRJplKlUSexQs0uM/fwG+s2eji4+/6nPZCkSIGSehXbF9YMN89fh6XF1qhC2tR0kZ5Rkczz9uXZTca4nS4QiC2xnbLZguwV6U15pYf7z1RSK6d5tJd58YTBLszPzeiREK7dnmwuMAzI6ZXP9ayddfk7J4CdkvvGD3mJ8XhbhVFIUQhEZUag2z/XsCyhbpCbr9NmL++x+8R4++6nPVlyQvEDNOQjtiW9/kiNmmtHvuJfXW21p8suhMm898CcDIiJGEeYUpFocguKufF4n4opkiEcbcPArefY/StWvrX5vTw9rIdHPqZucGKbRLiUmbSVLLaGWZqcMfqX/dUlmJpNXiNXy43eMOXSomMa8CT62ahUOiXRWuILQr8wbcA8D35hLKyzIVjubqdQvtvE1wxcCpHbON9G0f4CtlLiuj6tAhqg8fRu3v74jQrsiGM18AMNe/l2IxCIK7u25YDDq1iuMZpZzIKLG7T/mO7eT/5z8Uvv9BfYXM2fGzAdifvZ/C8vb/xS041qYTHwIwXuWPn39s/evhTz1F993f4ztjht3jPttrHcBfMygKv6vMfBCEjqpn97l0NUsYJIkdB//X8gFOZC4pofrYsas6R0KI9YF9UaWB4kqDA6JqP8TAqR2zpep1vcqBk9rPj+7bthL173+hjVbmieGFpE0kqSxoZZlpfW5UJAZBaA9CfPTMHRABwKd77c86+c+bh9fo0QTdeSfUDZzi/OLopw/FLJvZ8uNLLotXcH+yxcLGkrMAzOnSeICkCQxEpdM1ej2vvIZNp6wpo7eP6eLcIAWhHZNUKuYGDwJgU8YuxeKoPnmKC+PGk/7wI8iWK+/B5K3XEOnvAXS+dD0xcGrHbNVMujkgVU8bHY3/ggVXfZ4rten4B4D1aac7NIwTBHd2+5h4ANYdz7L7tE/t70+Xjz8iYMliJNXlX/Pz/ax59huyf3JJnEL7kJ7xE0WSjJdFZvKIRwGwVFVhKm6+AtjXB9IxmmWGxgXQP1q5bAVBaA/mDnsYgH3UUFBdoEgMHr16ovL0RBMUiCk//6rO1VnT9cTAqZ0yW2RSC6yNx642VU9pssXCptLzAMyNn6VwNILg/qw3qn7UmiwsP5Te6uNmj/gtDxWX8nJmGhQmOzFCoT2JixvPrht38e7wp/D0slZVLV27lqSJk8h79TW7xxjNlvqiEHfUDeQFQWhabMxoBoQMwIKlvtG0q0k6Hd22baXrunVow8NbPqAZnbUkuRg4tVMZxVUYzBb0GhVRAZ5XfJ6qQ4fIfu55Kvftc2B0bXP8zNdkqsHLIjPpZ4uSBUGwT5Ik7hgdD8Bn+y5htsh295MNBsq2bKXq4EEAQkJ782DwMOJMJjj5javCFdoBL68QBg+4tf7P1ceOIxuNqJtoT7HtTC45ZTWE+OiYU5c6KghC8+YmzAVgU8omxWLQBAY65DzdOmlJcjFwaqdsH9SEEG/Uqisv/1q2aTMly5dTtmGDo0Jrs42nrUUhpulC6592CoLQvAWDovD31JJRXM2u8/Y7wRcsXUrmY49R8O57l18cWLeG8MSy+vVPQudVXVVkd61D1D9eJmH1KvwXLbR73Kd7UwG4aUQceo3amSEKQocxK34WKiSO5x8nI0O5B9ZgbSUgG668sINtxumimHES2gPb1OjVliL3mz2LwFtuxm/uXEeE1WYmYw1bqqwL3G3lkgVBaJmnTs2NI6zVzz5pqkjEggVowsPx6N+vvroeveezyzeAxzRlnDq7wlXhCm7quVWLWPzxYPYdfrfRNo8+few+nb6QW86+i0WoJLhllFiTKgitFeoVygj0AGw+olwz3KJPPyNpylSKly2/4nPYCpNdKqzCaL7yQhPtjRg4tVO2xXhXu77Ja8QIIp57Du8xYxwRVptptB4snfBvfu3Xn9FDfqVIDILQXt02qguSBLsv5JNS0DhdQhcXR/fvdhL2299ebkyq92FTeAI7vb1Yd+oTF0csuBNDZQE/GgtJUsv4eVvXO8hmM7LZ3OxxttmmmX0jripVXBA6o4Ux05hRWUX/LOX6ZsomE6acHCp+2HPF54j088BTq8ZkkUkvqnJgdO5NDJzaKUfNOLmDnt3n8PC1X6HVeikdiiC0K3HBXkzuGQrA5/vszzr9vKqezXX9bucen55cP+xRp8YnuDfdhS1sTs/kn9Va+vS8BoCK778nadp0Cj/8yO4x5TVGVh+x9gG7Q5QgF4Q2WzD2T7xWWMbonAuQe1qRGPzmzSX23XeIef31Kz6HSiXV93PqTJX1xMCpnbrogBmn0nXrMaS3viKXIAju546x8QAsP5ROlcHU5H41589Tm5ICwIgh9/L4kpV07zbTFSEK7urkcvwsMnP73lw/wC7buAlTTk6TpYpXHcmk0mCme5gPY7oFuzJaQegYPAOgR93v3pPKpEtrw8PxmTQJlYfHVZ2nW5itQETnWeckBk7tUGm1kYKKWuBy9+a2MuXnk/X735M8YyamwkJHhtdq3+97jT9+MZkDR99X5PqC0BFM6hFKl2AvymtMfHssy+4++W+8ScrCRRQuFT9rgpWlNBMufm/9w4Dr61+PfOlFov/7HwJvatyIXJbl+jS920d3uZz+KQhC2/RfQopWw0eJK66qEa3SuoZ0vpLkYuDUDtlG9uF+enw9tFd0DlNxMV4jR+I5eDCaYGWeGq5MXMlGUyE/XNyoyPUFoSNQqSRuG2VNmfp076XLRSB+xnvMaNBq4Wdf0Bazid37X+fpL6dSVWG/Kp/QcX36w/PcHBXGtrhBEBhf/7pKp8Nv9mx0XRqn4f2UXEhyfiXeOjWLh0a7MFpB6FgM3aZyc1Qkr3nBkZOfKRKDpbaWos+/IOM3v0E2NZ2t0JzLM06dJ1VPo3QAQtvZFoFf6WwTgEfPnnT59JMr/mG5apWFPJB5kUgvPQvH/1qZGAShg7h+eAyvbjvP2ewyDl0qZkR8w7L+nkOH0mP39w0qpEmSin+efp80NYw+9D8WTP67q8MWFLQh7yDn9HqKIga3+hjbbNPioTFX/NBOEATQeQYw2yOKPGMZWs3VpctdKUmtpuD//g9zaSnVR4/iNWJEm89hyydomgAAU05JREFUm3G6aKc4UUclZpzaodRCa/WSqxk42UgahcbOp1fRr6aKp/RxdBPrLAThqgR46Vg4yDoD8Kmd0uSSJDUqKy2pVMwPGgDAhkvbnB+k4DaSihM5p7KgQWLWyMcBqD55iku330Hpevs9/TJLqtl2JheA20VRCEG4as/fuJm37tjHwH6N02JdQdJoCLrnHsJ+/3u0cVf2M90l2FrUq6jSQFmN0ZHhuS0xcGqHLhVaR/Zdgq9wfVNxMZaraHrmEMe/sv7/oJuVjUMQOgjbzeymk9nkldU0uZ+5pARTcTEA84Y+BMBeuZKCgnPOD1JwCxtSrOnR42MnERCYAEDJqpVUHTxIxa5ddo/5cv8lLDKM6RpMz3BfV4UqCB2WvYqnrhbywP0E33sP2vCwKzre10NLiI8OgLTCzlGSXPl/NaHNbDNO8cFXVr47/7+vkzhmLMXffOPIsFrtYspOnqtN4bCnF/S/TpEYBKGj6R/tz7AugZgsMl8dsF8ts/Cjj0mcOImiDz4AIC5uPAMtGiySxOaD/3VhtIJSLLKFDRets0rzu86vfz3k178m9LFHCbyl8cOsWpOZr+s+U6IEuSA4VnbWYTZ9/xelw7hitof4qYWdI11PDJzaoaudcao5dQpLZSXaiAhHhtVq646+zWpfHz6KjAefUEViEISOyHZT++WBS3Y7uetiY5ANBmrOXp5dmhc5FoANOftdE6SgqKOnvia7MhtvtSeTYibVv64NDyfkwQfxGjq00TGbTuZQWGkgws+DGX3DXRmuIHRoOTnHmLX1Tp5KWUFB/llFYpCNRir37qVy35V9B9jS9S6JGSfBHZVUGSipsuaRdrnCGaf4b5YTv3wZXqNGOTK0VrHIFtZVW5snLkiY5/LrC0JHNqd/JCE+enLLatl4MrvRdp/Jk4n/Zjmx7y+tf23W8MdQyzKnVCZSUne5MFpBCetPfwLADJUfHq1YlC7LMh/+aO3/deuoODRqcdsgCI4SETGYAbIOsySx8eB/FImhePly0u6+h4I337yi4+NtM06dpECE+A3YzthG9GG+erx0V1bYQVKp8Bw4EJVO58jQWuVgzkFyTeX4an2ZPPp3Lr++IHRkOo2K20dbZ50+/CGlUWlySaPBc8CABv13gkN6MlZlLSm7IXWz64IVXM5QW87WugdX83vfAEDN+QtkPf001SdO2D3m0KViTmSUotOouGVUnMtiFYTO4pqo8QCsy1Vm1t9n0mTUwcHo4uPttrNoiZhxEtyaLYc0/grT9JS2NnktALMSZqHXeiocjSB0PLeOjkOnUXE8o5TDl4qb3E82m7FUWb/o5o36PQAbCo9f0Ren0D7sOfwWZSqJMLPM8IF3AVCybBmlK1dR+MGHdo/5YI91tmnxkGiCffSuClUQOo3Zo55AI8ucU1k4n2i/qqUz6WKi6bFnN5F/++sVNbWOF2ucBHdmG9FfSZqeMSeHi4sXk//Gm4rcHFVVFbAtZRMA13S7xuXXF4TOIMRHz7WDraXJP/ghxe4+pRs2kDR9BgVvvwPAlK5z8NR4klGRwfH84y6LVXCtDcnrAJjr1wO1xppx4H/NAvwXLiTw5psa7Z9eVMXWMzkA3DM+wXWBCkIn4h8Qz2R1AADrj7+vSAxXU+HPNnDKK6+lyqBQb1AXEgOndqZ+xukKejhV7Pqe2jNnqfzhhyt6qnC1duz/L9UWIzEWFYNDB7v8+oLQWdhucrecziG9qHH6hKTTYcrOpvy7nciyjJfWixldZgCw5vjSRvsL7V9JcQq7zCUAzB94b/3rnoMHE/XPf+A9enSjYz76MRWLDBN6hIgS5ILgRAvqHiavL0vEZGy6nYSzGXPzkI1t68fk76UlwMvaELszpOuJgVM7czUzTr6zZhL58ssE3XuPo8NqlXVpWwG4JrC/IgM3QegsekX4MqFHCBYZPvkptdF238mTiXr1FRJWrqz/WVwYMhyALRnfU11V5MpwBRfYsO/fGCWJPhY1vXrOb3H/8hojyw9ZS5DfK2abBMGpJgx7mACLTIFaYv/5lYrEkHbf/SRNmkTV4SNtPtZW5flSJ0jXEwOndubSVaxx0gQGEnDtIvxmzHB0WC3KzT3BPtk66Js/7BGXX18QOhvbrNOyg+lU1DZMn5C0WvznzUOlv7xmZXiPBUSboUqCE0fec2msgvOZZRP+FpmFEdby87XJyRS8txRTfr7d/W2fm+5hPkzqKdpGCIIzafXezImbDsDaIvuFWpxNExQEkkTNubaXRU+oe5ifKmacBHdSXmOkoMIAXHkpcqVsOPBfZEliqKwjNnaM0uEIQoc3qUcoXUO9Ka81sfyg/Ya4NrLFgkqt4eWoGWxPz2RU8o8uilJwlTvmvsfOW/ayZPKLABR/9TX5r71Gzt9fbLSv2SLzcd1M5T3jEkSGgCC4wDWDfgXAzrSdVBgqXH79kN/8hh57dhN8111tPlbMOAluyZamF+Kjw9dD26ZjS1atpmzjRszl5c4IrVmyxcLa/EMALIie7PLrC0JnpFJJ3DPOOuv00U8pmC2NC8JU7j/ApTvvIv9//wNgyKjHCDVbIGU3FF9yabyC8+n0vnh4BgLgNXQInoMGEXD99Y3223o6h4ziagK9tCweGu3qMAWhU+oX3I8E/wRqzDVsqyvk4kq6mGg0ISFXdGx8SN2MU4GYcRLcyOX1TW1L05Nlmfz//Y/MJ35H9dGjzgitWWcvrCVZLaOTZWaOetzl1xeEzmrJ0BgCvLSkF1Wz7Uxuo+3mkhKq9u+ndPUaZIsFArtAwkQAqo9+5upwBScw1lZy8NiHWMwN0zX95s4lftnXeI8b2+gYWzXGW0d1wUOrdkmcgtDZSZLENSFDAVi3/1WFo2kbMeMkuCVbRb22punJtbX4z5+HR79+eI0c6YzQmnUkxdpUc4omCD+/GJdfXxA6K0+dmltGWpuWfminNLnv1CmEPv448V9/VV+ONrPPfH4VEcbi1GWNbraF9uf7g//jnuP/4e7PRtnd/ss0vOPpJRy6VIxWLXHHmC6uCFEQhDrzui5AkmUOSrVkZR1y+fVrU1LI+uMfyXi8bQ+5bevus0prqDGanRGa2xADp3YkteDKCkOoPDwIe/JJElauQOXh4YzQmnXbnHfYNG0pD4//q8uvLQid3R1j4tGoJA6kFnEyo7TBNkmrJeSB+9FGRta/FtT/ek7r9WSo4VzieleHKzhYfspOvC0WBvvGA2C4dImyrVubLDn84Y/WAfaCgVGE+bn++0IQOrPIqGE8KgWyNDuX8MQdLr++pFJR+u1ayrdtb9PSjkAvLb4eGgDS7LTA6EjEwKkduZpS5EqLiRlNQvxkpcMQhE4nwt+D+QOtA6MPfrjY4v6eXkG83OduNk1bSt/ei5wcneBU5bncfPEwO9MyuWfsMwAUffEFmY8+RvazzzXaPae0hg0nsgHR8FYQlPKrQQ8yuqYW9YnlIDdem+pMui5dCH38ceI+/ACVp2erj5Mkqf6hvu0hf0clBk7tSOoVlCI3l5VRc/4Csot/+GwqyrMVua4gCJfdO74rAOtPZJNb1ri5Ym1SEtnPPU/Bu9Yy5JNH/46YmMYNUYV25sTXIJvxih6Bf+QQADShoahDQvCbN7fR7p/sTcVkkRmVEET/aH9XRysIAkCfBaD1gsIkSD/g8suHPHA/3iNHImk0bTrO9lC/ozfBFQOndqLKYCKvvBZo28CpfPsOUhYuJOOhh50VWpMKCs4xZcUMHv10HDXVxS6/viAIVgNi/BkZH4TJIvPp3tRG22uTkihZvpzizz9HNjVc16RkF3vhyskWC2ePf4YMMOTW+tdD7ruPHt/txHvcuAb7VxlMfLk/DRANbwVBUXpfMvvM4V9BAbzy41+UjqbV6mecOniBCDFwaidsI/gALy3+Xq0vRW7Kz0fS6/Ho29dZoTXpp4NvUKOSKDRX1ZfAFQRBGbbUqy/2p1FtaLh413fqVAKuv56oV18BtbWKWkrqLh75dAz3fTHe5bEKV+/k2W+4wbuWm6MjsfRd2GCbpNXWFwOxWXkkk9JqI12CvZjWJ9yVoQqC8At53afymb8fy2vSFcncqU1OpmDpUmrOn2/1MZ1lxqlt83CCYi7VV9RrW2GIkAfuJ+iO25tcCOw0ssw1SXvpV5ZFxcQnXXttQRAamdE3nLggL9KKqlh+KJ07x8bXb5N0OiL/1rB4i7dnCHss5VgkidTU74mPn+TiiIWrsebMFwDEe0Wi8gzEkJaGpaoKj969G+1rMlt4f491/dvdY+NRq0TDW0FQ0uD+t3Dz2a8YHz8TT89gl1+/4M23KNu4EUtFJR69erXqmPgQMeMkuJHUuhF8/BUUhlB5eqL283N0SM279BMUJtFN8mDQyN+49tqCIDSiVkncN9G61um93Rcxmi3N7h8W3p9xKh8Avj38f06PT3CcGlMNm40FACwa8gAABe++S8qia8l/481G+286lcOlwioCvbTcMCLWpbEKgtCYpFLx5xs3MHHUY6g1Opdf33fmDLwnTcSjT59WH2ObccoqqabW1HFLkouBUztxJTNOslm5D27N4Y+s/9F/Meh9FItDEITLrh8WQ4iPjsySatafyGq03VxaSuEHH5L/1lsALEyYD8Da0nOYTQaXxipcuZ1pOyk3lhPlHcXIPjdYiwNZZFCr8R47psG+sizz9q5kAO4am4CXTiSiCEJn5zd7NnHvvovf7FmtPibUR4+XTo1FhoziaidGpywxcGonUgvaNuMkyzIXFy4k7b77MWRkODO0RkpL05hatpc/hAZTNehml15bEISmeWjV3D3Outbp7V3JWCwNq23WnD1H3r//TeHS9zGXlTFl5GP4W2Ty1BL7jrynRMjCFViTtBqAa7pfg0pSIUkSUS+/RI9d3+E5ZEiDfXcnFnAmuwwvnVo0vBUEN5OTfZTXV17H22tuUTqUFkmSVP9w/1IHTtcTA6d2oq0zToaUVAxJyVTt24c6wLWFGTbu/RflKhVJXr54xoqSxoLgTm4f0wVfvYYLuRXsPJfXYJvXqJH4zZ1DxNN/RtLr0el9mesVD8CaC8sViFZoq+ysw+zL2gvAwoQFDbZpQkORpIbrl976LgmAm0fGEejt+pQgQRCadjFzL+9XnOez4hNUVxW5/PqW6mqqjx1r9f62h/u2h/0dkRg4tQM1RjNZpdaSwAkhrRs46RLi6bp+HZH/eBm1T9sKSlwNWZZZWZsJwJIusxpVbhIEQVl+HlpuHW2dWXhrV1KDHm+SJBH92msEXHcdKr0egEWDfwXATlMRpSWXXB+w0CZrD/4XWZIYIeuJ8Y+jNiUFc0mJ3X0PXypmf0oRWrXEryaIEuSC4G5GD7mfaDOUqyS273/Vpdc2ZmVxYfQYLt1xJ5aq1g2EbAUixIyToKj0IusH1tdDQ2ArS5FLkoS+e3f8581zZmiNnCk8w/mSJHQqHfPHPe3SawuC0Dr3jItHp1FxJK2Eg6nN91jr03MhPVVeGCSJDek7XRShcCUsZhNrCo8BsChuJgA5L/yVxEmTKduytdH+73xvXdt07ZBoIv09XRanIAito1JruDZ4MAArL2126bU1kZFoQkLQhIRgSG/dko/6GacOXJJcDJzagcsV9bwbpVm4mxWJKwCYET8Df73oPC8I7ijMz4PrhsUA8PaupEbbZbOZ8h07yHv9dSRJYvHwRwH45uLaBjNUgnvZd+RdMtTga5GZPvoJLFVVmMtKkY1GPPv3a7BvYm45287kIklw/8RuCkUsCEJLFo76HSpZ5rBkICV1l8uuK0kS8cuX0W3Hdjx69WzVMWKNk+AWLq9val1hiIrdu8n9xz+pPnHCmWE1UlWRx8bzKwFY0nWRS68tCELbPDCxKyoJvjufz5mssgbbjFlZZDzyGwrffgdDairXdLsGT40nSSVJHM07qlDEQkuWnfsSgAXe8Xh5haDy8iJh5Uq6rluLNjq6wb5v1802zeobQfcwUflUENxVRMRgJqh8AVh96HWXXlsTHNymB/bxdQOnjOLqFltetFdi4NQO2JqJxbeyMETp2nUUffwx5du2OTOsRrbsf4UqSSbODMMjR7r02oIgtE2XYG/mDYwCLqds2ehiY/G/5hqCf3UvKm9vfHW+zImbDsCy3c+5PFahZTk5x/jeXArADcMeq39dkiT03RrOKGUUV7H2mLUc/a8ni9kmQXB3i7tfC8C35YkYa5WZzZFNphb3CfPV46FVYbLIZJV0zJLkbjFwevPNN4mPj8fDw4NRo0Zx4MCBJvddunQpEyZMIDAwkMDAQKZPn97s/h3BpbpUvdbOOPnNn4f/okX4zpjhzLAaWZm2HYDFocNFUQhBaAd+PcnaEHf9iSzSfpGTHvXPfxD25JNoQkMBuCF0OADbKlMpKmqc3icoa9Xef2KWJIbJerp1m4EhI6PJXn7v70nBZJEZ2y2YwbEBrg1UEIQ2mzjiUUItUKSS2HWp8XpFZypZs4bkufMoePfdFvdVqSS6BFkf8nfUdU6K390uW7aMJ554gueff54jR44waNAgZs2aRV5ent39d+3axc0338x3333H3r17iY2NZebMmWRmZro4ctepn3FqZUU938mTifrHy3gOHOjMsBpISt7KcZURjSyzcPQfXHZdQRCuXL8ofyb1DMUiw7u7k5vft/diBlk0TKmsour4Vy6KUGitBcMf4W7v7tzR8wZki4W0e+8lecZMas6ebbBfYUUtXx9MA+Chyd2VCFUQhDbSaD1YOPBeAFZe2uLai5vNGC5epGL37lbtbnvI31HXOSk+cHrttde47777uPvuu+nbty/vvPMOXl5efPjhh3b3/+KLL3jooYcYPHgwvXv35v3338disbBjxw4XR+4aBpOFzLoOzK2dcVLCyiNvADBJ7U9IaB+FoxEEobUeqkvV+uZwBnnlNY221yYnk/9/byDLMh8P/C2v5hcSc2IFWDpm/np7FRs7jieuW83UsX/AmJaGpaQUc3k5uri4Bvt98lMqNUYLA6L9Gdc9WKFoBUFoq8U9lgDwU9ZPZFVkuey6PlOmEP2f14hburRV+9se8nfUXk4aJS9uMBg4fPgwTz31VP1rKpWK6dOns3fv3lado6qqCqPRSFBQkN3ttbW11NbW1v+5rMy6CNpoNGI0Gq8iesewxdBULKkFlVhk8NKp+f/27js8imp94Ph3tqVXAukQOlJDlyYgTUCFHwqIKMWOoCAXFSygooKKWK6ICCJcFFCkWRAISOhNCBpC74QUIAnpZcv8/ggJRkJCIFsS3s/z8Nyb2bNz3pyMs/vOad5OmlJjzli/HucWLdD5+ZV7rDeSl5vOLxmnQKPQr85DDtGuBUprX3F7pH2tyxbt2zzEg+ahXkSdT+WbLaeY0LNu4WuW7GxODxqMmpmJIbwZri36oa5/AyXlDKZjEai177VaXLZQWa9fJTiYGhsiyDt+HLPBgPnq75eRa2LhzjMAPN2xBqabmLNwOypr+zoKaV/rcrT2DXAJoLV/a/Ym7mX5juk819VG+zp5eODSvTsWwHITbRHinb8H4OnL6SW2nSO1b1liUFQ7ri0bFxdHcHAwO3bsoF27doXHX3nlFTZv3szu3btLPcfzzz/PunXriImJwdnZ+brX33rrLd5+++3rji9evBhXV8ftwSkQk6Lw9REtwa4qrzQrfrx6AV3KFWpNn46q0XByymQsxbSHNcSmLOcrJYpqJgtjfN9Bo7FrPi6EKKPoZIV5R7U4a1XeamHG5R//CVf9+Wf0V66Q1K0bucHBNI79Dm3KH2zyqYdvyET7BS0AyMo+yub0H2nt1A4/r+4llt0Up7DqrJaqziqvhZvROPbuFkKIfzl7ZRVz+dOhv28dTVX48pCWas4qrzcv+Xuro8jKyuLRRx8lNTUVT0/PEss6XouXwfTp01m6dCmRkZHFJk0AkyZNYvz48YU/p6WlFc6LKq1xbMFoNBIREUGPHj3Q66/f3PbizrNw5CiNw/zp0ye8xHPlxMRwqVEjFGdn7hswwEoRXy8qOomD0Udp7FuL++9/0Gb13ozS2lfcHmlf67JV+95nUdk8awfHL2YS71GfMV2vrbSm9u5dZDna+HNe9N12BI2azm8tQ/D3t91cyvJWGa7fT1d9y3ZDLoq6h8/7zMSckoLWx+e6cjlGM+/O3ArkMa5XI+5vFWL12CpD+zoyaV/rcsT2zc3twI/LuuBuMdM6LBv/xoNtUq9qNJL+629k7dqF/7tTUUpoj2ZXsvny0FZSjBp63dcT7Q2e0DhS+xaMRrsZdk2c/Pz80Gq1JCYmFjmemJhIQEBAie+dMWMG06dPZ8OGDTQtYREEJycnnJycrjuu1+vt/of6pxvFE5uSP+egZlWPUuPVh4fjsfwn1Ly8Ei/q8tamxRO0afEEqsXisKvpOdrfu7KR9rUuW7Tvi93q8cKSKL7dcZYnOtXGy6X4+qrX7kLbbc64aPTkGVMrxd+9wl6/xhwGnP0bk8HCPW2fRJOTw6k+fXFu3JjgmR+j+8cQ9oW7znMpI49gbxcGtq6BXme7e3WFbd8KQtrXuhypffV6P5ZU607I3m9RnJdD88dsUq+q1ZL02WeYk5LwHTQQt7vvvmHZ0Co6DFoNeWYLlzJNhPqWPLrLEdq3LPXb9VuuwWCgZcuWRRZ2KFjo4Z9D9/7tww8/ZOrUqaxdu5ZWrVrZIlS7KVjOMawMC0MoBoO1wim5XgdNmoQQpevbJJB6/u6k5ZiYv+30da+bMzJI+nYB5tRUZj+6mf8O20GtmhV7jlOFd2g1tTOSmGRyo0PrF8ja+yeW7GzMSZfRensXFsvKMxXu1fVitzoYbJg0CSHKV2j7cSgocPIPuHTMJnUqGg2+jw3F7/nn0YeU3Fut1SiE+roA17bTqUzsfvccP348c+fOZeHChRw+fJhRo0aRmZnJyJEjARg2bFiRxSM++OAD3nzzTebPn09YWBgJCQkkJCSQkZFhr1/BqgqWc6xRyua35owMVBuvcpWaeo4vVj5CYuLfNq1XCFH+NBqFcd3rATB/22muZOUVef38c89x8YMPSFn6A3q9488PvSP8+U3+/7YcARotHvd2pfa6dQROnVrkQdainWe5nJFHdV9XBrSw/hA9IYQV+YRB/d5kKQpR2z+wWbV+o0ZR9cUXMJSSOAGEVSnYy6nyLUlu98Rp8ODBzJgxg8mTJxMeHs6BAwdYu3Yt/v7+AJw7d474+PjC8rNnzyYvL4+HH36YwMDAwn8zZsyw169gNUazhdirS5GH+ZX8ReXixx9zvGMnrqxaZYPI8q3c+g5z0mJ4cc0wm9UphLCe+xoF0CDAg/RcE/O2Fu118hk0CEOtWhiqhxYeu3BhDys2TLB1mAI4dnwNr+ScIMrFFVo8XnjcEBKMS3h44c8Zudd6m164tw56rd0/9oUQt+l80wF0Dw3muZTdZKTHl/4GGyt42F8Z93JyiMUhxowZw5gxY4p9LTIyssjPZ86csX5ADiLuSjYmi4qTToO/R8kr5GXvj8KcnFxkeIZVWczUPbOblrocHqzTzzZ1CiGsSqNReKlHPZ5dtI9vt5/miY418XXLH/rr2bcvnvffX9iTkZx8gvsjnsCkKLQ8248aNTrZM/Q7zo/7/svv7m6YPIMJd6uGOSUFXTGLQizccYaULCNhVVz5v+bBdohUCFHeQu56iGq7p5KrqpyP28Nd9W3zPUy1WMiJjgZVLfKA5t8KHvafkaF6wpauzW9yQ1PKurE1f1pG9YULS5ywV66OraXD5XMsSDXyf/e8Y5s6hRBW17OhP42CPMnMM/P1llOFxxWttsjwL1/fOrTTuAPw096ZNo/zTpZpzOQXY/6iSoMaPk5GZCQn7u3GxU8/LVIuPcfI3K35f8Ox3euik94mISoFRaPhq94L+XXYPpslTQAp333PmcGPcOnz/5ZYLqwS9zjJXdSBXZvfVPp8AkWvx61tGzQ22ruJ3V/l/2+L4SgGme8gRGWhKArje+TPdVq44wyXM3KLvK5aLKRv2kTmnj0MqjcQgFXpx8nNSbV5rHeq3079RpbFSJhnDdo2f4qMTZtQs7PBXHSe64LtZ7iSZaRWVTcebCa9TUJUJgGBzdHqbLsYmFvHDmjc3dFWqUJJ28BeS5yysFjstl2sVUji5MDOXL7a4+RX8sIQtnbqVARfJx8gWauD1k/ZOxwhRDm7t0E1moV4kW00M+fq/JgCyQv/R+yo57k442M6thxDgFnlikZh/c4P7RTtnUVVVX48+iMAA+sNQtFoCHjnHap/Ox/fYdfmOqVmX+ttGte93g33UhFCVGx5uens+PNLm9RlqFmTejt3EPzRh0X29/u3IG9ndBqFXJOFxPQcm8RmK5I4ObCb6XEyX7nC2WHDSZo3z2ar6n2/52P+6+vNe2F3gXdo6W8QQlQoiqIw7mqv06JdZ7n4jw8+rwfuR1ulCq6tW6FVFQb6Nc8vd+Y3m6/seSf68+D3HE05ipPWiX5X55cqioJbu3boqlYtLDd/22nSckzU83enb5NAe4UrhLCirIyL3Pd9O56Nmc3pM5FWr09RlJvaJ1Sn1RTu31TQCVBZSOLkwAqWcQwrYSnyjG3bydqzh9TVq22yj1Jqbiq/5CUA8EiTJ6xenxDCPrrUq0rz6t7kGC18FXltrpPOz4+6m/7A/+WXUQwGBnZ8C2eLymGNmT//+taOEd8ZFkbNAqC/IQD3PA2qyXRdmStZeYV7cUlvkxCVl6t7NRrpPAFYstu2q0ub09JKHK5X8NC/ss1zksTJQZktKueT85ciL6nHybV1a/zffAPfkbZJYladWEW2aqauV21aNR1hkzqFELb3z7lO3+0+S2LatV6nf26y7eNbm34u+T3PC07/Ytsg7zCnTm9ks5qBoqo83vYVEqdP52TvPmRs3Vqk3Lytp0nPNdEgwIP7GgXYKVohhC082ih/S5jVWWdssjS5qqqce/ZZjrVrT86hQzcsd20vJ+lxEjYQn5pNntmCQash0MvlhuX0/tXwHToU7wH/Z/WYzBYzS44sAWBow8dt0sMlhLCfjnX8aB3mQ57JwpebTlz3eu7p01xZsZLHu0xDQWFL+klOXTlVzJlEefjfrvzNLrtovAgNaEvm1m0Yz59H6+FRWCYlM49vt+f3Nr3Uo16pK7IKISq2u5s/Qy2zQpZGYfW2qVavT1EUFJ0ezGayow7csJz0OAmbOns1Qw/1dXGYYRZb/v6WCxkX8DR40qdWH3uHI4SwMkXJ39cJYMme88RdyS58Le/sWU716Uv85MkEqf50De0KwP8O/c8usVZ2ly8f4ZfcOABGNHsWjZMTtdetJfiTmUX2U/l66yky88w0CvKkZ0N/O0UrhLAVRaPh0eDOACyJ34rFfP3w3fJWbdxYam+IwPexoTcsIz1OwqbOFC4MceP5Tel//EF6ZCSW7OwblilPi//6GoCH3GrhortxL5gQovJoX9uPu2v5kme28EnEscLjhho1cG3TBvdOnbDk5DCi8QgAfjmxmsuXj9op2srrh61vk6coNLHoaN7kMQA0Li549u5dWCYhNedab1P3eiWueiWEqDwe6PAmHhaVs1rYvm+21etzqlsXQ0hIiWX+2eNU0lyoikYSJwd1Ljk/Q6/ue+P5TZc++5zY50aRHhFh9XhOnoxgF9loVJVHWo21en1CCMfxyn0NAPhpfywxcdf2awqd+zWhs7/EqWZNwquG01TrQZ5q4oetU+wVaqWUnZXM0ivRAAyvMwBLenqx5WasP0qO0ULrMB+63VXNliEKIezI1b0a/d1rAbD41M92jiZfsI8LigJZeWaSMvPsHU65kcTJQcVeXRgi9AaJk2oy4dqyBfqQENw6dbJ6PIv3fgxAV60XQUGtrF6fEMJxtKjuw/1NA1FVeH/N4cKnh5p/LBKhKArDa+QP4Y269BfkVa7hGfaUmnaOJlp3gs3QtfmLnHrgQc499TTGxIuFZWLiUlm+PxaA1/s2lN4mIe4wQzq8iYLCttwEzqSesXp9uadOEf/22yROm1bs6046LQGezgCcT648nweSODmo8ylX5zj5FD8kTtHpCJg8mdoR69H5+Fg1lqTLx1idnf+BPLSxLEEuxJ3o1fsaYNBq2H4iicijl4q8ZsnMJOmbb+jSeBTz0mFuXBz8tdhOkVY+AQHhfDlsF8sHRWD8OwZTUhK5J0+i8/EG8le5yk9o4cFmQYSHets1XiGE7YUGteaekHsAWHhoodXrM6emcmXJUq6sWIlqNBYfk0/+w//zKbaZUmILkjg5qILs/EY9TgVs8VRx0ebXyNXkj61v1Wyk1esTQjieUF9XRnQIA+C9NYcxma9tdnv+uVFc/GgGqd8vpW3rMSgAO78E2RC3XLm5B+DWvj211/xG0LRphcvCbzp6ke0nkjDoNLzcq76doxRC2MsTVx9urz6xmsRLN14qvDy4NG2K7/DhBH30Idzgu2iIb/7Df+lxElaVnmMkJSs/ey8ucbLk5ZEXG2uTWFJTz7E07QgATzcYKkuQC3EHG921Dj6uek5czGDp3vOFx32GPoq+enWc6tSG8KHg7EVWyinO/b3IjtFWDovXjiYh4UCRY4YaNXC7uy0AJrOF99fk36NHdggr9WGbEKLyauHfgpYugRgtRhZETrRqXYpWi/+kiXh06YKi0xVbpqDHKTZFEidhRQUb3/q46nF3uv5izNq9m5Pde3DuiSetHkts/J94qwp1LRo6txln9fqEEI7Ly0XP2G51Afh0wzHSc/If8Hj07Ent337F8777wMmd7Y370D00mDcPfG7PcCu86JgfmZa4hQd/f4y0xFOYLl++rszSvec5cTEDH1c9o7vWsUOUQghH8nTNBwFYn3YCow02xC1JwYOcc9LjJKypcH7TDZ4c5p06BVot+uBgq8fSqMEAfn18L//tOReNtvgnCkKIO8ejbWtQ08+Nyxl5fLX5JJC/j4ii1xeWqdt6DNkahSRLHqlXztgp0opPE/0jrbNz6OHkT96KdZzo0ZPk/13rxUvPMRYuET+uez08nfU3OpUQ4g7RvuXzvG10Y3VsHPo986xeX17sBZK//x5jQsJ1rxXM0y/oEKgMJHFyQIXzm3yKT5x8hw+n3s4d+I0ZbZN4dHpngoPb2KQuIYRjM+g0TOydvzz5vK2ni2yKq6oq6ZGR6CL+4vu73+Xn4VF4eYfZKdIKLuUMjY5uZH7CRaZ0nkHWvv2o2dlofX0Li8yOPElSZh61qrrxaNvqdgxWCOEoFI2GAR1ex11VYc9cyEkt/U23IX7iRBKnvkv6xo3XvVb96l5OcVeyMVsqx15Okjg5oNiUkpciB9B6eqL3t96u8Hm56fz8x2sYczOtVocQomLq2dCfNjV9yTVZmLHu2ma32fv2EfvcKC5+9BF1fdpLL/Xt2DUbVAvU6oohuHn+nlnfzMOz930AXLiSzTfb8je7ndT7LvRa+TgXQlxVvy9UbYCam0rc9k+sWpV7t264tmqFzq/qda/5ezhj0GowWVTiUytHr5PcaR3QtRX1il+K3BZWbX6T18//whNLrL9HlBCiYlEUhTf63gXAiqgLRMfmP9F0adkSt/bt8HlsKBqn/BXfcrJT2BNl/eEilcmVlNPMPv4TSRoNtH8ByG9z9w4dULRaAGasO0quyULbmr50l81uhRD/pNGQ0OZJBgcFMOTcT2RnJVmtqiojR1Dju0V49upZTBgKwZVsuJ4kTg7o2h5O1/c4xb7wIrFjx5F7/Lj1AjCbMJzYiJ/JTC9/GaInhLhe0xBv+ocHAfDub4dQVRVFUQj95hv8X34Zrbc3ly7G0GdJJ57761MS4qPsHHHFseCPl/nSy5UXQ2qQneOPajIVef3v2CusjLoAwBuy2a0Qohh+4cNI1xnIBmKO/WK3OEIKEqdKsrKeJE4ORlXVwqz830P1zBkZpEdGkr5uXZGJ2OXu4HL6XzzH2qRcBnYpfkdoIYR4+b4GGHQadp9OZv2hRKDo3nJ+fndRXeOMUVH4evMke4VZoVzOvszizBMAPBP0EGcfH8apvvdjvHgRyP+MePe3wwAMaB5MkxAvu8UqhHBcOr0zH909mXX9VtMqfITV61ONRvLOnr3ueMF32dhKsrKeJE4OJikzj2yjGUWBIG/nIq9pXF0J+/47qr36KoawMOsEYLHAtpkAOLV7HicXH+vUI4So8IK9XXiqY00A3vnlEFl513pG8s6fJ/6NN3kh8DEAVubEcv78TrvEWZHMPzifbNVMY58GtPTugcbZGY23F7qq+fMHVkZdYM/pZJx0GibIZrdCiBI0bjgQH9/aVq8n+2AMx9q159zIJ1DVootAFIyeqixLkkvi5GAK5jcFeDrjpNMWeU3RaHBp2pQqI0dYrf7dez9nXeZZzE5e0Popq9UjhKgcxtxbh2BvFy5cyebTDdeGECe++x6pK1YQuCmRdrhgUhTmbH3TjpE6vsTMRH448gMAY1qOw/3uu6kdEUHwhx+iKArJmXmFvU1ju9clyNt+82CFEBXLgYOLMRlzrHJup1o1UfPysOTkYLp0qchrBfP1z6fIHCdhBQUX1o2WIrcm1WJh5qEFTPCvyqK7OoGzDAERQpTM1aDj3f6NAfhm22li4vIXivAb/TxuHTvi8+gQxrSaAMAveQmcPhNpr1Ad3twNL5FnyaNFtRa0D2oPgNbdDUONGgBMW3OY5Mw86vt78HSnWvYMVQhRgYxf1JHH901j3fb3rXJ+jasrNVetou62reirFV2spuD77HnpcRLWUHBhhfxrRb3ckye59N8vyD4YY7W6d5yN4JDGjItFpd8971itHiFE5dK1QTX6NgnEbFF5bUU0ZouKS9OmVJ83F5emTWnaaBBdFA8sisLsbVPsHa5Diov7k+UpfwPwguFusqMOFHl958kklu2LBeD9AU1k+XEhxE2r75k/pHreqVVYzKZSSt8ap1o1UTTX35eqX53jdDE9lxyj2Sp125LceR3MjTa/TV+/nsuzZnF59myr1KuqKl8fWQzAw3UfssmYWCFE5THlgYZ4OOn4KzaV73ZdP0H4+TavArDWnMzxpCO2Ds/hzdk8CZOi0BZn/Jf9zdlHHyXp2wUA5JrMvL4qGoChbavTsobMPRVC3LwhXd7H3aJyQquyadcMm9bt7arH3Sl/T7/YSjBcTxInB1O4FPm/VtRzbtgQj549i10nvzxsjt3M/ov7MWgMDG/+vFXqEEJUXtU8nXmldwMAPlp3lITU/LH0qtFI0oIFuLzzIz2rtUMFvvx7jh0jdTznzm1jdW48AGOavYiuqh+KXo9753sAmB15klOXMqnq4cQr9zWwZ6hCiArI0yuUIV4NAfjs6GKMRusMm0tZupTTDw8kbd36wmOKolSqJcklcXIwBUuRV/9X4uTeuTMhn3+G14MPlnudRmMWH295DYDHGj6Gv5t/udchhKj8hrapTvPq3mTkmnjr5/xhxZbMTJJmf0X2/v08e6U1Cgobzm0gJsl6w44rmtlb38SsKHRS3AgPf5zAqVOpvWEDTrVqceJiBl9uOgnk9+p5uVhxKwohRKU1svsn+FhUTmtVVvwx0Sp15J05S87Bg2RERhY5XpmWJJfEyYGYLSpxVwr2cLLdaknLN77KGVM6PhZ4qtFIm9UrhKhcNBqFaQOaoNMorI1JIOJQIlpvb/xff42Aqe9Qd/CT9KnVB4BZm161c7SO4eTJCH4z5q9CNbrNK4XH9f7VUFWV11dGk2e20KV+Vfo2CbRXmEKICs7DM5hRgV0A+DLuDzLS48u9Dq/+/Qh87z2qvjSuyPHCBSJkqJ4oT/Gp2ZgsKgatBn+Pa3s4ZR84gDktzSp1pqdd4Mv4TQA8H9gFD2dvq9QjhLgzNAjw5KmrK75NWX2QzFwTXg8+iM/AgSgaDaPqP4pWVdmaeZYDBxfbOVr7m7XjHVRF4cFMD6osP4IpJaXwtZ/2xbL7dDLOeg1T+zUusrmwEEKU1cPdPiTMrJCsUfjmwKxyP79zgwZ4PzTg+pX1rnYGnEuSHidRjgqG6QX7uKDR5H9AqiYT5559jmPt2pNz9Gi51/lNxIukaBTCzAoPdfug3M8vhLjzjO1Wl1BfF+JSc5gZcazIa9X9GjPQVBUvs5mEffPsFKHj6BLciVAzPB5dm5RFi4h7Nb8nLikjl/fW5O/Z9FL3etfNexVCiLLS610Zf/ckABadXUt8Rvn3OhXnWo+TJE6iHBVcUAWT6ABMFy+iq1IFjbs7TrXLd6W7uLg/WZSen4z9p+Fw9Hr5YBZC3D4Xg5Z3+zcB4Nvtpzl4IX9vp9yTJzkzaDCD13rye+wl7ju9D85ss2eodvfgve/z6/AoQke8gFODBlR94UUA3ltzmCtZRhoEePBEx5p2jlIIUVl0uesRWge0Jtecy2dRn5X7+S3Z2aStXculL671aBU8+KkMezlJ4uRACibN/fPJoj4oiNprfqP22t9RdLpyre+zTRPIUxRaq050bvNSuZ5bCHFn61yvKg82C8Kiwn9+/IscoxmNuzu5p05hPhOHIeT/8gtueAssFrvGag/qP35njVaHW9s21Fy5ApcmjVkfk8CK/RdQFJgmezYJIcqRoij8p9V/APjt1G/EHF5eruc3p6VzYdxLXJ41C1NSEnCtQyAtx0RqtrFc67M1uRs7kHM32MMJQOdTvvt2HDy0jDWm/At6wt1vFLtpmRBC3I7JDzTEz92Jo4npvPfbYfT+/oR8MpPaa3/H6eG3UQ3ubEg+yNrI1+0dqk0ZjVk8+b82rNzwMmbTtS8RiqIQn5rNK8vzN8J9qmNNmleXPZuEEOWrUZVGPOAcAsBHu6cVeZBzu/T+1fC47z58R4xANedveOvmpMPP3QBU/F4n+bbsQApWGymYRKeaTKiqapW6QgJbMdQljAGGABo26G+VOoQQdzY/dydmDmoGwKJdZ1kfk4B7587o/PzAM5ANrR7hJf+qvHv2F1KST9o5Wtv5OWICe5Vcvjq+hlP9+5H688+oqorZovLSDwe4kmWkSbAXL/eSPZuEENbx4j3v42JRCchMJufw6nI9d8inn+D/6itFFokIudopEFvB5zlJ4uRAzv+rx+nKihWc7NadpAULyr0ub5+aTBz0C28NXlfu5xZCiAL31KvKM/fkr7L3yvK/iU+9thxt++ARdErW8Ih3Y1xcfO0Vom2lxvJg1ComJKUw+XhdTCdOc/nrr8FkYnbkCXadSsbVoOXzIc0x6OQjWghhHQGBzVkT/CDTLyXh8se7YLbuELpr85wq9pLkcld2EDlGMxfTc4FrF1fmtu0Y4+JQs8vvIrOYTUW6ZGWInhDC2ib0rE+TYC+uZBkZt/QAZotKyrJlnBs0hFf/asHofotxdrlDhqStnYTemMlwr0a0e28JVV96iYA33mB/XAafbDgOwDv9GlPTz83OgQohKju/zpPArSoknYA/55fruVVVJffECYxxcQCEXp3nVNFX1pNvzQ7iwpUcANwMWnxc83eGD/pgOiGzv8TzgQfKrZ4l61/k6UVtOXrs13I7pxBClMSg0/D5kOa4GrTsPp3M7MgTuLVujaLTofP1Rc3LA8BsysNkzLFztNZz9u/F5B3+GRQt3D8TjYsLfs8+gzm8JWOXRmG2qPQLD+KhFsH2DlUIcSdw8oAuk4jVaZm8/xPSUs+X26kT33ufU/c/QMqSJcC1ToFzMsdJlIeCMZ+hvq6FmxxqXFzw6NoVQ0hIudRhTk/gu7jN7CaHv85sKJdzCiHEzajp58bUfo0B+GTDcaIVT2r9vJrgmR+jcXYm5vByhixqw/frX7BzpNaRk53Cc39O46HgQE749kWt1hDIfyr72opoYlOyCfV14d3+stGtEMJ21ObDeCkohJWueuasH1Nu53Vp1gzFYMCSWXQaiiwOIcpFbOHCEFbaS0lV0f72H+bHxTPYqGdA1+nWqUcIIW5gQItg+oUHYbaovLjkANnVggpfO3ZhF4cVE7Mu7iQh4YD9grSSedvfJlYLYWe0GGf9SezoMagmE8v2xfLr3/HoNAqfP9IcD2e9vUMVQtxBFJ2ecU2eIVzVM6jNhHI7r0fPHtTbtZOAyW8C1xY+i03JttrCZ7YgiZODKFxR72pGHv/mZJIXL8ackVk+Ffz9Axz5lUBVwxv3L0Sndy6f8wohxE1SFIV3+zcm1NeFC1eyeX1lNKqqYsnNpd1ub8ZFKmRrFD6MKL+nno7gTOoZ5sdvAWCIZwcUvR59SDCnUnJ46+cYAMb3rCdLjwsh7KJD6zH8b9if1KjRqdzOqXFyQuN6rTMgyNsFjQK5JguXrs7pr4gkcXIQsf9Yijzv7FmuLFtG4vvTgNvPyhPio9ix8bX8H7pMhIAmt31OIYS4FR7Oej5/pDk6jcKvf8fzw97zZO3ZQ8qi72i/x0xQsoUISypb93xu71DLhaqqvLf7PYwWIx2DO9LulTnUXLEczxfG8uKSKLLyzLSvXYXn7qlt71CFEHewfy4Wdvbs1nI9t2oyoddqCPSq+AtESOLkIP7Z46Rxc6Pqf8bjO/RRtO7ut3Vei8XMm+uf5dkqbvyvekPoMK4cohVCiFvXvLoP43vWA2Dy6hgOBjekytNPEfLll3QPqQPA+wfnkpOdYs8wy8XaPZ+yK34XTlonXmvzGoqioK9dh5d/OUpMXBo+rno+GRyORiPzmoQQ9qVaLHz80//xwKZRbNn92W2fz5yayvlnn+P4PZ2x5OUVDteryEuSS+LkIP45x0nn54ff00/jP2nSbZ/3x4ML2EU2zhaVTvdOB63uts8phBC367l7atO7cQB5ZgvP/O9PUh97Bo8uXXi+9xyqmVVitTBv7Sh7h3lb0tMu8GHMN/inqHy6yp2A9PyP3A/WHuG3v+PRaxVmDW2Bv6cMnRZC2J+i0WCymFAVhbdi5pJ65cxtnU/j6UnOoUOYk5PJ3revUiwQIYmTA8gyQVqOCYCQq+vcl4dzaeeYGT0HgHH1H6VmWOdyO7cQQtwOjUbhk8HhtKzhQ1qOiRHf7uViWg5u7gFMCn2YurEq89Ji+DN+r71DvSWqxcLk1YO5rFV4Ya2FKgcTSXjvff638wxztpwC4KOHm9G+tp+dIxVCiGvGPvA/wswKl7QK7/06/LbOpSgKge+9S83Vq3G9++5rm+DKUD1xO5KvzpGr4mZAd+40mXv2oBpvbwdns8XM69teJ9uUTZuANgxpN7EcIhVCiPLjrNcyd1gravq5ceFKNk8s3EvqyTOEfbCdyT+Bd5rKhC0vczHror1DLbOFa55hgyUVnaoSNmEMbp06cXzQM4WLQbzcqz79m8t+TUIIx+Ls4sP7bd9Eq6r8bk5m3dapt3U+93vuwbl+PRRFKRyqV5H3cpLEyQEk5eSPbQ/xdSX5++85N2w4iR9+dFvnXLjmWQ5cOoCbzo2pHaaiUeRPLYRwPL5uBhaMbE0VNwMHL6Txn8h4ND4+uPpUo5E2lKScJCZsnoDRVHFWYdp7YD6fXt4FwKsBXWnW/XlSJn/I8xvjsKgwpE0oz3eRxSCEEI6pSaOBPOnVCIB3T/zA5UuHy+W814bqyRwncRuSrn4fCPVxQePmhtbHB7cO7W/5fMdO/M4XBR/aIT0Icg8q5R1CCGE/Naq4MW94K5z1GjYcT2ZJn1HUWrWKVx77Cne9G1EXo5i5cqC9w7wpiYl/MyFqJkGXYGS8J4N7fsa5pCyeXLiXHKOFzvWqMrWfbHIrhHBsz/WZTwOLhisahbd/fxLVYrnlc+UcPszFGTOotnczAPGp2RjNt34+e5LEyQEkX+1xqu7riv/LL1N321bcO3a8pXPl5qTyxtZJGBWFzoo7/Tu9XZ6hCiGEVTSv7sNnjzRHUWDu0Szm7r9EDc8avFdnCD7pKt9lnmLHjg/tHWapvts6BTJgyg9m+izJIHHrTkYs2MPljDwaBXkya2gLdFr56BVCODa9kxvvdZqOXlWJVNNZcWLFLZ8rc8dOkuZ9g7puDQadBosK8ak55Rit7cjd2wEU9jhdnTSnaLUourKvfmc25fHqsj4c1pjxtqi81Xt+kXX5hRDCkfVqFMCU+xsC+SvPrYq6QFva8cU8lambs2iz6VO4eMS+QZZiXP8feNS/ET6NmqALrc7LUVmcupRJsLcL80e0xt1JVjYVQlQM9er0ZnTz/A3J3939HjvidtzSedy7dsWr34P4DBxYuAhawWrSFY18q3YASblXe5wMt95tqVosTF12PxstaehVlY/Dx+FX9a7yClEIIWxiRIeaPNWxJgDjfzzA9t+3o8+x0DzWC21uJvzwGOSk2TnKG9PqDDw76Af8Pl/AO11HszUhDw9nHd+ObC3LjgshKpwRTZ6mV1gvTBYT4/4Yy8HDy8t8DqdaNQn64AM8e/Wk+tVOAkmcxC1RVZXkHHA1ZuP7+IOcHjQYc0Zmmc8za/WjLM+LR6OqfFhnKG2aP2WFaIUQwvpe63MXQ9qEYlHhmex6RA19kZAlP6N4BZGXdJzlyx+5rfH25e3EyfV8sOR+rmzZCOTvUfLwvD1suWTG01nH/BGtqefvYecohRCi7LQaLe93fJ+7/ZqSbc5h1K4pnD4TecvnK1ggQhIncUsuZeRhVBUappwDoxFLejpad7cyn6dpUFucLSpvBveke8fb3zhXCCHsRaNReP//mvBS93oAvJZZnZf/SCJ3wHyeCfRnWtY5vl/3vJ2jzGfKSuY/keNxWX2K+GfGEPPpbP7vyx2cupRJkJczP41qT+swX3uHKYQQt8ygNfBp549pZNGSi0riL2MgLa7M5zElJdHixB5QVc5X0MRJBlvbWUHGHVe3GXWmbcaUEH9L57mn7Uv8GtYNf/+m5RmeEELYhaIojO1el0AvZyatjGbF/gtcSvfj0QuNeGbNETw/CLd3iJBxEd33A3kl5RKH9FVQFYUZf6dzuVouDQI8WDCyDQFeMjxPCFHxubkH8GW/n4hfMpBGSadg0QAYuQZcb+7BkCUvjxPde9AgO5sa9/6H8yne4G7dmK1BepzsrCDjDvFxQe9fDZdmzW76vbv3f83589sLf5akSQhR2QxqHcq84a1wNWjZcTQR3R+Z+GRAUIJ9h76ZLx+Db3pA/AE6aNyoPnwmL947nk3VGtGhThV+fK6dJE1CiErF17cOjYauBo9AuHSY84sfIjsr+abeqzEYcG3TGrVufdzzsmWonrg1sf9InMri4KEfeeGvz3k84lnOndtmjdCEEMIhdK1fjaXP3I2PpwuvtBrJ+kb3ktT9AQBiDi9nypIe5OWm2yyemMM/MXRJf45uScHiWZ1Fjeby7AYzJzwC6R8exLcj2uDprLdZPEIIYTPe1eGxFcR4+DJUk8iEn/pgNGbd1FtDv/iC4B+WEeNXi6TMPHLNVo7VCiRxsrPYlGweOLWN3mvmkbU/6ubedGIjAb+9SnWjkQZaNwL9m1s3SCGEsLOmId6sGNUB75BAPqnbh/6zdjB301+M2z6ZvK1xvPBdVzLSb22oc1lsPfsHT+ycwsgfVSwxbiw50Jk3t+bvRzKqS21mDgrHoJOPViFEJebfkLweU8lWNFw255CVefGm3qbo9Xi56vFwzp8plJxrzSCtQ+7udhabkkXX81GE7P6D3JMnSiyblXUZ468vwXcD8MtMZr4SxMyHfkHvVPbFJIQQoqKpXsWV5aPa07amL5l5Zt5bF8vQjTUZ9oeFnkszGbmsF5cuxlit/lUnVvHC5vFkaTXsvduZeHdf5rqFY9BqmNqvEa/e1wCNRrFa/UII4SiaN32Mr1tOZP7AtXh5hwFgMZtu6r3VvZ1xNeYUbsdTkUjiZGexKdksaNib3P6DcL/nnhuWO3BwMQOXdmXeiZ/yD7R5Bs/hv+LqXs1GkQohhP35uhlY8vTdfPBQE7xd9ax26UaGkxPbmisc0ao8/usjt7VUbnFUi4VvtkzjszVvYFbNGHJaMU/7Fs92fYXQVk1Y99I9PN4urFzrFEIIR9e86WO4uQcU/jx1WV/eXdqbrKzLN3xP2po1vL3oVZ6NXkVyji2iLF+yqp4dGfOMVI/ei196MsEPdkHv53ddmTxzHrP/ms386HlYtLDa04uRfebhXK+XHSIWQgj702gUBreuTo+GAXzwewDDfULxcT5HkHE+F/QKb3w3mg7VGzBo4Bz8XK6/rwJgNqNs3kzwli0obm7QtStotUWKqBYLO/d/xZI98+m7JJPXLDDhwXtISrkff08XJt/fiD5NAlCUivfUVAghytOp0xtZnnMBVVHYsbQr77V6leZNH7uunNbHB7eMK3RMP8CeHf4odVyLvf86KofocZo1axZhYWE4OzvTtm1b9uzZU2L5ZcuW0aBBA5ydnWnSpAlr1qyxUaTlaMUKlJo1Wbx4Ep//8hFV+/eFsDBYsaKwyNHkowz5bQjzoudhAR5wDuHHh36XpEkIIcjvffrg4aYsevFePHxbcen0WOpkw9O/Wug0/RDjZnTnnZ3vcC7tXNE3rlgBYWHoevSg1cyZ6Hr0KHL/NZvyWBv5NoMXtuDZmNlsdc7BMwu8snT4nWvNkx1rs2F8Z/o2DZSkSQghgFo1u/F1kxcIMKuc18KI/dP5ZPlD1y3c43r+PDUuXabl8YOMWvTxdfdfR2f3HqcffviB8ePH89VXX9G2bVs+/fRTevXqxdGjR6lW7fphaDt27GDIkCFMmzaN+++/n8WLF9O/f3/2799P48aN7fAb3IIVK+Dhh9GqapHD6oUL8NBD/DKhDT80NBKjMWIGfJx8mNxuMt1rdLdPvEII4cBa1vDl1xc6smBHCAt+diNP9yk5+gwOB5r469gyfjr2E/2T3Hik/fM0jHODhx+Gf91/uXAB9eGH2fnivZw6G4dzpsrhoTqcLSp3pfmyqFlLsu7qzn+HdqJhkKd9flEhhHBgd7d8lhV172f6r8P42XiR+RnHWLW4HS11PrRo8RSd/7xCyMiXcCnm/svDD8NPP8GAAfYJ/ibZvcdp5syZPP3004wcOZKGDRvy1Vdf4erqyvz584st/9lnn3Hffffx8ssvc9dddzF16lRatGjBF198YePIb5HZDGPHgqry7+eUiqqiAq3nR3GQPMxAV59GrOi3QpImIYQogU6r4alOtVg15SESP/qRuU98Qnr8c5gy6qOi0nB9KuaR72Ia9gjqvz+0AVQVVVWps3AzzY5YaHQOup/wwzP+VaqHzWLIxNf49j99JGkSQogSeHgG896jG/m07mP4WlSSNQoRlit8tOcj9C9NQC3m+2/hg6xx4/K/Jzswu/Y45eXlsW/fPiZNmlR4TKPR0L17d3bu3Fnse3bu3Mn48eOLHOvVqxerVq0qtnxubi65udfWO0xLSwPAaDRiNBpv8zcoO2XzZnSxsTd8XQMEJhv5IrkpIQ+NIiT4bgC7xFoZFLSbtJ91SPtal7Rv2Xk5aXikVTCPtAomNbsTkUcfYPe+5fhlz8cjMwNd5o3bUgNUu2JiewcX4ntP4NHePZke7FW4Up7ZbHL0z3SHItevdUn7Wpe07+25p/V4fmv6JIeO/0JUUgyZUccISClh1VNVhfPnMW3ahNq5s+0CpWx/Y7smTpcvX8ZsNuPv71/kuL+/P0eOHCn2PQkJCcWWT0hIKLb8tGnTePvtt687vn79elxdXW8x8lsXvGULrW6inEtcIH//lczff1XA+VsOKCIiwt4hVGrSvtYl7Xvr9EDHwNqkjH2PUz8tI2zJ96W+J7T+vWhC3ImL3kFctPVjrOzk+rUuaV/rkva9Xb4E0InghGJ6+otx4PffuZCZaeWYisrKurkNfMEB5jhZ26RJk4r0UKWlpREaGkrPnj3x9LT9kAvFzQ1mziy1XHjv3jSzccZdGRmNRiIiIujRowd6vd7e4VQ60r7WJe1bvhRPN7iJxEnuv+VDrl/rkva1Lmnf8uXI338LRqPdDLsmTn5+fmi1WhITE4scT0xMJCAgoNj3BAQElKm8k5MTTk5O1x3X6/X2+Q+ha1cICcmfCFfcOHtFgZAQdBVoacaKwG5/7zuEtK91SfuWE7n/2oVcv9Yl7Wtd0r7lxIHvv2X5+9p1cQiDwUDLli3ZuHFj4TGLxcLGjRtp165dse9p165dkfKQ3416o/IOR6uFzz7L////Xsa24OdPP5UPbSGEKG9y/xVCCPuoJPdfu6+qN378eObOncvChQs5fPgwo0aNIjMzk5EjRwIwbNiwIotHjB07lrVr1/Lxxx9z5MgR3nrrLf7880/GjBljr1+h7AYMyF9yMTi46PGQkAqxFKMQQlRYcv8VQgj7qAT3X7vPcRo8eDCXLl1i8uTJJCQkEB4eztq1awsXgDh37hwazbX8rn379ixevJg33niD1157jbp167Jq1aqKs4dTgQEDoF8/TJs2ceD33wnv3VuGhwghhC3I/VcIIeyjgt9/7Z44AYwZM+aGPUaRkZHXHRs4cCADBw60clQ2oNWidu7MhczM/IlwFeSiEUKICk/uv0IIYR8V+P5r96F6QgghhBBCCOHoJHESQgghhBBCiFJI4iSEEEIIIYQQpZDESQghhBBCCCFKIYmTEEIIIYQQQpRCEichhBBCCCGEKIUkTkIIIYQQQghRCkmchBBCCCGEEKIUkjgJIYQQQgghRCkkcRJCCCGEEEKIUkjiJIQQQgghhBClkMRJCCGEEEIIIUohiZMQQgghhBBClEJn7wBsTVVVANLS0uwcST6j0UhWVhZpaWno9Xp7h1PpSPtal7SvdUn7Wpe0r3VJ+1qXtK91SftalyO1b0FOUJAjlOSOS5zS09MBCA0NtXMkQgghhBBCCEeQnp6Ol5dXiWUU9WbSq0rEYrEQFxeHh4cHiqLYOxzS0tIIDQ3l/PnzeHp62jucSkfa17qkfa1L2te6pH2tS9rXuqR9rUva17ocqX1VVSU9PZ2goCA0mpJnMd1xPU4ajYaQkBB7h3EdT09Pu184lZm0r3VJ+1qXtK91Sftal7SvdUn7Wpe0r3U5SvuW1tNUQBaHEEIIIYQQQohSSOIkhBBCCCGEEKWQxMnOnJycmDJlCk5OTvYOpVKS9rUuaV/rkva1Lmlf65L2tS5pX+uS9rWuitq+d9ziEEIIIYQQQghRVtLjJIQQQgghhBClkMRJCCGEEEIIIUohiZMQQgghhBBClEISJyGEEEIIIYQohSROVjZr1izCwsJwdnambdu27Nmzp8Tyy5Yto0GDBjg7O9OkSRPWrFljo0grrrK08YIFC1AUpcg/Z2dnG0ZbcWzZsoUHHniAoKAgFEVh1apVpb4nMjKSFi1a4OTkRJ06dViwYIHV46yoytq+kZGR1127iqKQkJBgm4ArmGnTptG6dWs8PDyoVq0a/fv35+jRo6W+T+7BN+dW2lfuvzdv9uzZNG3atHBz0Hbt2vH777+X+B65dm9eWdtXrt3bM336dBRFYdy4cSWWqwjXsCROVvTDDz8wfvx4pkyZwv79+2nWrBm9evXi4sWLxZbfsWMHQ4YM4cknnyQqKor+/fvTv39/Dh48aOPIK46ytjHk71IdHx9f+O/s2bM2jLjiyMzMpFmzZsyaNeumyp8+fZq+ffvStWtXDhw4wLhx43jqqadYt26dlSOtmMravgWOHj1a5PqtVq2alSKs2DZv3szo0aPZtWsXERERGI1GevbsSWZm5g3fI/fgm3cr7Qty/71ZISEhTJ8+nX379vHnn39y77330q9fP2JiYootL9du2ZS1fUGu3Vu1d+9e5syZQ9OmTUssV2GuYVVYTZs2bdTRo0cX/mw2m9WgoCB12rRpxZYfNGiQ2rdv3yLH2rZtqz777LNWjbMiK2sbf/vtt6qXl5eNoqs8AHXlypUllnnllVfURo0aFTk2ePBgtVevXlaMrHK4mfbdtGmTCqgpKSk2iamyuXjxogqomzdvvmEZuQffuptpX7n/3h4fHx913rx5xb4m1+7tK6l95dq9Nenp6WrdunXViIgItXPnzurYsWNvWLaiXMPS42QleXl57Nu3j+7duxce02g0dO/enZ07dxb7np07dxYpD9CrV68blr/T3UobA2RkZFCjRg1CQ0NLfcIkbp5cv7YRHh5OYGAgPXr0YPv27fYOp8JITU0FwNfX94Zl5Bq+dTfTviD331thNptZunQpmZmZtGvXrtgycu3euptpX5Br91aMHj2avn37XndtFqeiXMOSOFnJ5cuXMZvN+Pv7Fznu7+9/wzkJCQkJZSp/p7uVNq5fvz7z589n9erVfPfdd1gsFtq3b09sbKwtQq7UbnT9pqWlkZ2dbaeoKo/AwEC++uorli9fzvLlywkNDaVLly7s37/f3qE5PIvFwrhx4+jQoQONGze+YTm5B9+am21fuf+WTXR0NO7u7jg5OfHcc8+xcuVKGjZsWGxZuXbLriztK9du2S1dupT9+/czbdq0mypfUa5hnb0DEMKW2rVrV+SJUvv27bnrrruYM2cOU6dOtWNkQpSsfv361K9fv/Dn9u3bc/LkST755BMWLVpkx8gc3+jRozl48CDbtm2zdyiV0s22r9x/y6Z+/focOHCA1NRUfvrpJ4YPH87mzZtv+OVelE1Z2leu3bI5f/48Y8eOJSIiotItoiGJk5X4+fmh1WpJTEwscjwxMZGAgIBi3xMQEFCm8ne6W2njf9Pr9TRv3pwTJ05YI8Q7yo2uX09PT1xcXOwUVeXWpk0bSQZKMWbMGH799Ve2bNlCSEhIiWXlHlx2ZWnff5P7b8kMBgN16tQBoGXLluzdu5fPPvuMOXPmXFdWrt2yK0v7/ptcuyXbt28fFy9epEWLFoXHzGYzW7Zs4YsvviA3NxetVlvkPRXlGpahelZiMBho2bIlGzduLDxmsVjYuHHjDcfQtmvXrkh5gIiIiBLH3N7JbqWN/81sNhMdHU1gYKC1wrxjyPVrewcOHJBr9wZUVWXMmDGsXLmSP/74g5o1a5b6HrmGb96ttO+/yf23bCwWC7m5ucW+Jtfu7Supff9Nrt2SdevWjejoaA4cOFD4r1WrVgwdOpQDBw5clzRBBbqG7b06RWW2dOlS1cnJSV2wYIF66NAh9ZlnnlG9vb3VhIQEVVVV9fHHH1cnTpxYWH779u2qTqdTZ8yYoR4+fFidMmWKqtfr1ejoaHv9Cg6vrG389ttvq+vWrVNPnjyp7tu3T33kkUdUZ2dnNSYmxl6/gsNKT09Xo6Ki1KioKBVQZ86cqUZFRalnz55VVVVVJ06cqD7++OOF5U+dOqW6urqqL7/8snr48GF11qxZqlarVdeuXWuvX8GhlbV9P/nkE3XVqlXq8ePH1ejoaHXs2LGqRqNRN2zYYK9fwaGNGjVK9fLyUiMjI9X4+PjCf1lZWYVl5B58626lfeX+e/MmTpyobt68WT19+rT6999/qxMnTlQVRVHXr1+vqqpcu7errO0r1+7t+/eqehX1GpbEycr++9//qtWrV1cNBoPapk0bddeuXYWvde7cWR0+fHiR8j/++KNar1491WAwqI0aNVJ/++03G0dc8ZSljceNG1dY1t/fX+3Tp4+6f/9+O0Tt+AqWv/73v4L2HD58uNq5c+fr3hMeHq4aDAa1Vq1a6rfffmvzuCuKsrbvBx98oNauXVt1dnZWfX191S5duqh//PGHfYKvAIprW6DINSn34Ft3K+0r99+b98QTT6g1atRQDQaDWrVqVbVbt26FX+pVVa7d21XW9pVr9/b9O3GqqNewoqqqarv+LSGEEEIIIYSoeGSOkxBCCCGEEEKUQhInIYQQQgghhCiFJE5CCCGEEEIIUQpJnIQQQgghhBCiFJI4CSGEEEIIIUQpJHESQgghhBBCiFJI4iSEEEIIIYQQpZDESQghhBBCCCFKIYmTEEIIIYQQQpRCEichhBB3BLPZTPv27RkwYECR46mpqYSGhvL666/bKTIhhBAVgaKqqmrvIIQQQghbOHbsGOHh4cydO5ehQ4cCMGzYMP766y/27t2LwWCwc4RCCCEclSROQggh7iiff/45b731FjExMezZs4eBAweyd+9emjVrZu/QhBBCODBJnIQQQtxRVFXl3nvvRavVEh0dzQsvvMAbb7xh77CEEEI4OEmchBBC3HGOHDnCXXfdRZMmTdi/fz86nc7eIQkhhHBwsjiEEEKIO878+fNxdXXl9OnTxMbG2jscIYQQFYD0OAkhhLij7Nixg86dO7N+/XreffddADZs2ICiKHaOTAghhCOTHichhBB3jKysLEaMGMGoUaPo2rUr33zzDXv27OGrr76yd2hCCCEcnPQ4CSGEuGOMHTuWNWvW8Ndff+Hq6grAnDlzmDBhAtHR0YSFhdk3QCGEEA5LEichhBB3hM2bN9OtWzciIyPp2LFjkdd69eqFyWSSIXtCCCFuSBInIYQQQgghhCiFzHESQgghhBBCiFJI4iSEEEIIIYQQpZDESQghhBBCCCFKIYmTEEIIIYQQQpRCEichhBBCCCGEKIUkTkIIIYQQQghRCkmchBBCCCGEEKIUkjgJIYQQQgghRCkkcRJCCCGEEEKIUkjiJIQQQgghhBClkMRJCCGEEEIIIUrx/17hpFT1TGcPAAAAAElFTkSuQmCC", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from scipy.interpolate import CubicSpline\n", + "\n", + "# Sample data points\n", + "x = np.array([0, 1, 2, 3, 4])\n", + "y = np.array([0, 1, 0, 1, 0])\n", + "\n", + "# Create cubic splines with different boundary conditions\n", + "cs_not_a_knot = CubicSpline(x, y, bc_type='not-a-knot')\n", + "cs_periodic = CubicSpline(x, y, bc_type='periodic')\n", + "cs_clamped = CubicSpline(x, y, bc_type=((1, 0.0), (1, 0.0))) # Horizontal at both ends\n", + "cs_natural = CubicSpline(x, y, bc_type='natural')\n", + "\n", + "# Generate values for plotting\n", + "x_new = np.linspace(0, 4, 100)\n", + "y_not_a_knot = cs_not_a_knot(x_new)\n", + "y_periodic = cs_periodic(x_new)\n", + "y_clamped = cs_clamped(x_new)\n", + "y_natural = cs_natural(x_new)\n", + "\n", + "# Plotting the results\n", + "plt.figure(figsize=(10, 6))\n", + "plt.plot(x_new, y_not_a_knot, label='Not-a-knot', linestyle='-')\n", + "plt.plot(x_new, y_periodic, label='Periodic', linestyle='--')\n", + "plt.plot(x_new, y_clamped, label='Clamped', linestyle='-.')\n", + "plt.plot(x_new, y_natural, label='Natural', linestyle=':')\n", + "plt.scatter(x, y, color='red', label='Data Points', zorder=5)\n", + "plt.title(\"Cubic Splines with Different Boundary Conditions\")\n", + "plt.xlabel(\"X\")\n", + "plt.ylabel(\"Y\")\n", + "plt.legend()\n", + "plt.grid()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "rc2.misc.utils.argmin2d([[0.02495501, 0.73891171],[0.02821465, 0.7409368 ]])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "from scipy.interpolate import PchipInterpolator\n", + "\n", + "# Sample data\n", + "z = np.array([1, 2, 3, 4, 5, 6])\n", + "x = np.array([0, 1, 2, 3, 4, 5])\n", + "y = np.array([0, 2, 3, 5, 8, 13]) # monotonic y\n", + "\n", + "# Set up the PCHIP interpolator\n", + "interp = PchipInterpolator(x, y, extrapolate=True)\n", + "\n", + "# Points to interpolate\n", + "x_new = np.linspace(-10, 20, 50) # Includes points outside of x's range for extrapolation\n", + "y_new = interp(x_new)\n", + "\n", + "# Check monotonicity\n", + "is_monotonic = np.all(np.diff(y_new) >= 0) # Replace >= with <= if y should be decreasing\n", + "\n", + "# If not monotonic, set y_new to NaN where non-monotonicity is detected\n", + "if not is_monotonic:\n", + " y_new = np.where(np.diff(y_new, prepend=y_new[0]) < 0, np.nan, y_new)\n", + "\n", + "plt.plot(x_new,y_new)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from sklearn.metrics.pairwise import euclidean_distances\n", + "\n", + "grouped = df.groupby('Cluster')\n", + "x_spe = np.array([])\n", + "x_reference = np.array([])\n", + "x_distance = np.array([])\n", + "clusters = np.array([])\n", + "for cluster, group in grouped:\n", + " unique_sources = group['Source'].unique()\n", + " if 'reference' in unique_sources and 'spe' in unique_sources:\n", + " x = None\n", + " r = None\n", + " e_min = None \n", + " for w_spe in group.loc[group[\"Source\"] == \"spe\"][\"Wavelength\"].values:\n", + " for w_ref in group.loc[group[\"Source\"] == \"reference\"][\"Wavelength\"].values:\n", + " e = euclidean_distances(w_spe.reshape(-1, 1), w_ref.reshape(-1, 1))[0][0]\n", + " if (e_min is None) or (e < e_min):\n", + " print(w_spe,w_ref,e, e_min, cluster)\n", + " x = w_spe\n", + " r = w_ref\n", + " e_min = e\n", + " x_spe = np.append(x_spe, x)\n", + " x_reference = np.append(x_reference, r)\n", + " x_distance = np.append(x_distance, e_min)\n", + " clusters = np.append(clusters, cluster) \n", + "sort_indices = np.argsort(x_spe) \n", + "\n", + "x_spe[sort_indices],x_reference[sort_indices],x_distance[sort_indices],clusters[sort_indices]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "x_peaks = np.array([1, 1.5, 2, 2.5, 3, 6, 7, 7.1, 9, 10, 11, 12])\n", + "y_peaks = np.array([1, 2, 3, 4, 5, 6, 7, 8.])\n", + "# Example usage\n", + "xdict = dict(zip(x_peaks, np.random.uniform(size=len(x))))\n", + "ydict = dict(zip(y_peaks, np.random.uniform(size=len(x))))\n", + "\n", + "xdict,ydict\n", + "n_clusters = max(len(x_peaks),len(y_peaks))\n", + "n_clusters" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "from sklearn.cluster import KMeans\n", + "from sklearn.preprocessing import MinMaxScaler\n", + "\n", + "def normalize_intensity(intensities):\n", + " # Normalize intensity using Min-Max scaling\n", + " scaler = MinMaxScaler()\n", + " return scaler.fit_transform(intensities.reshape(-1, 1)).flatten()\n", + "\n", + "def argmin2d(A):\n", + " ymin_idx = np.argmin(A, axis=0)\n", + " xmin_idx = np.argmin(A, axis=1)\n", + " x_idx = np.unique(xmin_idx[xmin_idx[ymin_idx[xmin_idx]] == xmin_idx])\n", + " y_idx = np.unique(ymin_idx[ymin_idx[xmin_idx[ymin_idx]] == ymin_idx])\n", + " matches = np.stack([y_idx, x_idx]).T\n", + " return matches\n", + "\n", + "def cluster_peaks_with_intensity(x_peak_dict, y_peak_dict, n_clusters):\n", + " # Extract peaks and intensities from the dictionaries\n", + " x_peaks = np.array(list(x_peak_dict.keys()))\n", + " x_intensities = np.array(list(x_peak_dict.values()))\n", + " y_peaks = np.array(list(y_peak_dict.keys()))\n", + " y_intensities = np.array(list(y_peak_dict.values()))\n", + "\n", + " # Normalize the intensities separately\n", + " normalized_x_intensities = normalize_intensity(x_intensities)\n", + " normalized_y_intensities = normalize_intensity(y_intensities)\n", + "\n", + " # Create a combined feature set for clustering (position and normalized intensity)\n", + " x_features = np.vstack((x_peaks, normalized_x_intensities)).T\n", + " y_features = np.vstack((y_peaks, normalized_y_intensities)).T\n", + " \n", + " # Combine all features and apply KMeans\n", + " all_features = np.vstack((x_features, y_features))\n", + " kmeans = KMeans(n_clusters=n_clusters, random_state=0).fit(all_features)\n", + " \n", + " # Get the labels for both x and y peaks\n", + " labels = kmeans.labels_\n", + " x_labels = labels[:len(x_peaks)]\n", + " y_labels = labels[len(x_peaks):]\n", + " \n", + " # Calculate cluster centers for x and y peaks\n", + " x_cluster_centers = [np.mean(x_features[x_labels == i], axis=0) for i in range(n_clusters)]\n", + " y_cluster_centers = [np.mean(y_features[y_labels == i], axis=0) for i in range(n_clusters)]\n", + " \n", + " return np.array(x_cluster_centers), np.array(y_cluster_centers)\n", + "\n", + "def match_cluster_centers_with_argmin(x_centers, y_centers):\n", + " # Compute cost matrix (Euclidean distance between cluster centers)\n", + " cost_matrix = np.linalg.norm(x_centers[:, np.newaxis] - y_centers, axis=2)\n", + " \n", + " matches = argmin2d(cost_matrix)\n", + " return matches\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# Step 1: Cluster peaks with intensity\n", + "x_cluster_centers, y_cluster_centers = cluster_peaks_with_intensity(\n", + " xdict, ydict, n_clusters)\n", + "\n", + "print(list(zip(x_cluster_centers, y_cluster_centers)))\n", + "\n", + "# Step 2: Match cluster centers using argmin2d\n", + "matched_pairs = match_cluster_centers_with_argmin(x_cluster_centers, y_cluster_centers)\n", + "print(\"Matched cluster centers (with separately normalized intensity):\", matched_pairs)\n", + "\n", + "\n", + "print(\"Matched peak pairs (with tolerance):\")\n", + "for m in matched_pairs:\n", + " print(m)\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "ramanchada2", + "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": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples/neon_calibration_xcal_fine.ipynb b/examples/neon_calibration_xcal_fine.ipynb deleted file mode 100644 index efdb1e53..00000000 --- a/examples/neon_calibration_xcal_fine.ipynb +++ /dev/null @@ -1,139 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "51ac466b-8823-4bfb-8c3d-d2d28ea9ce4d", - "metadata": {}, - "outputs": [], - "source": [ - "import ramanchada2 as rc2\n", - "import ramanchada2.misc.constants as rc2const\n", - "import ramanchada2.misc.utils as rc2utils\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f21a6319-405e-4211-b97a-95b098b7d13d", - "metadata": {}, - "outputs": [], - "source": [ - "def diff(spe, ref_pos):\n", - " ss = spe.subtract_moving_minimum(40)\n", - " kw = dict(sharpening=None, hht_chain=[100])\n", - " cand = ss.find_peak_multipeak(**kw)\n", - " kw = dict(profile='Gaussian')\n", - " fit_res = spe.fit_peak_multimodel(candidates=cand, **kw)\n", - "\n", - " spe_pos, spe_pos_err = fit_res.centers_err.T\n", - "\n", - " spe_pos_match_idx, ref_pos_match_idx = rc2utils.find_closest_pairs_idx(spe_pos, ref_pos)\n", - " spe_pos_match = spe_pos[spe_pos_match_idx]\n", - " ref_pos_match = ref_pos[ref_pos_match_idx]\n", - " return ref_pos_match, (spe_pos_match-ref_pos_match), spe_pos_err[spe_pos_match_idx]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b1bbe125-d2bb-47d5-9aeb-f37812b24a8e", - "metadata": {}, - "outputs": [], - "source": [ - "spe_nocalib = rc2.spectrum.from_local_file('data/2 - Full Data sets/FMNT-M_Ho785/NeonSNQ043_iR785_OP03.txt', filetype='txt')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "39107e52-d74b-4eac-ad16-fabee3b00175", - "metadata": {}, - "outputs": [], - "source": [ - "neon_pos_wl_dict = rc2const.neon_wl_spe[785].fit_peak_positions(center_err_threshold=.1)\n", - "neon_pos_wl = np.array(list(neon_pos_wl_dict.keys()))\n", - "\n", - "neon_pos_rs_dict = rc2utils.abs_nm_to_shift_cm_1_dict(neon_pos_wl_dict, 785)\n", - "neon_pos_rs = np.array(list(neon_pos_rs_dict.keys()))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "211cf6a0-1f7f-4f6b-a0f9-06bb6e084e79", - "metadata": {}, - "outputs": [], - "source": [ - "spe_cal = [spe_nocalib.shift_cm_1_to_abs_nm_filter(785)]\n", - "for _ in range(10):\n", - " spe_cal.append(spe_cal[-1].xcal_fine(ref=neon_pos_wl_dict , poly_order=3))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "44fb6c34-6259-46f0-8baa-89484eb5cbf2", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots(figsize=(8, 5), nrows=1, sharex=True, tight_layout=True)\n", - "\n", - "ax.axhline(0)\n", - "ax.set_title('FMNT-M_Ho785/NeonSNQ043_iR785_OP03')\n", - "ax.set_xlabel('Raman shift [cm$^{-1}$]')\n", - "ax.set_ylabel('Δ shift [cm$^{-1}$]')\n", - "\n", - "for spe_i, spe in enumerate(spe_cal):\n", - " ax.errorbar(*diff(spe.abs_nm_to_shift_cm_1_filter(785), neon_pos_rs), fmt='.:', label=spe_i)\n", - "ax.legend()\n", - "ax.grid()\n", - "ax.set_ylim(-8, 15)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3db9e44b-786b-449d-8cfb-496dfd4ed05b", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots(figsize=(8, 5), nrows=1, sharex=True, tight_layout=True)\n", - "\n", - "ax.axhline(0)\n", - "ax.set_title('FMNT-M_Ho785/NeonSNQ043_iR785_OP03')\n", - "ax.set_xlabel('Raman shift [cm$^{-1}$]')\n", - "rc2const.neon_rs_spe[785].plot(ax=ax.twinx(), fmt='r:')\n", - "for spe_i, spe in enumerate(spe_cal):\n", - " spe.abs_nm_to_shift_cm_1_filter(785).plot(ax=ax, fmt=':', label=spe_i)\n", - "\n", - "ax.set_xlim(200, 2000)\n", - "ax.legend()\n", - "ax.grid()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "ramanchada2", - "language": "python", - "name": "ramanchada2" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.11" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/examples/publication/HDF5_cache.ipynb b/examples/publication/HDF5_cache.ipynb new file mode 100644 index 00000000..08034949 --- /dev/null +++ b/examples/publication/HDF5_cache.ipynb @@ -0,0 +1,306 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "3af0ff4c-bb75-4372-93f3-231d3b3aedda", + "metadata": {}, + "outputs": [], + "source": [ + "from ramanchada2 import spectrum\n", + "from ramanchada2.spectral_components import GaussPeak, SpectralComponentCollection" + ] + }, + { + "cell_type": "markdown", + "id": "56d3a175-d7bc-4e69-aa7c-51def3a886f7", + "metadata": {}, + "source": [ + "# Generate spectrum" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "1606b750-5a08-4e98-b6aa-b15bc1fe9fee", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "g = GaussPeak(a=1500, x0=150, w=10)\n", + "ax = g.plot(draw='line', label='line')\n", + "g.plot(ax=ax, draw='cross', label='cross')\n", + "ax.legend(loc='upper left')\n", + "g.plot(ax=ax.twinx(), draw='delta', label='delta')\n", + "None" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "f6c6bc14-537c-4e84-9e57-1626beb17020", + "metadata": {}, + "outputs": [], + "source": [ + "spe_coll = SpectralComponentCollection([\n", + " GaussPeak(a=1500, x0=250, w=20),\n", + " GaussPeak(a=700, x0=300, w=20),\n", + " GaussPeak(a=700, x0=500, w=30),\n", + "])" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "a7b78985-7fef-4caf-a954-61c858570d59", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ax = spe_coll.plot(draw='deltas', label='deltas')\n", + "ax1 = ax.twinx()\n", + "spe_coll.plot(ax=ax1, draw='combined line', label='combined line', lw=3)\n", + "spe_coll.plot(ax=ax1, draw='individual lines', label='individual lines')\n", + "spe_coll.plot(ax=ax1, draw='crosses', label='crosses')\n", + "ax.legend(loc='upper left')\n", + "None" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "74ad9487-7136-417c-845b-d9d7c2011480", + "metadata": {}, + "outputs": [], + "source": [ + "spe = spectrum.from_spectral_component_collection(spe_coll, x=800)" + ] + }, + { + "cell_type": "markdown", + "id": "cc0bba7a-5e8a-47f1-a176-acbe440f2a5b", + "metadata": {}, + "source": [ + "# Generate spectrum from SpectralComponentCollection`" + ] + }, + { + "cell_type": "markdown", + "id": "e73fc984-58c1-44c8-ba8e-3b01bda07c6e", + "metadata": {}, + "source": [ + "# Add Poisson noise to the spectrum" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "3fb72332-b564-443c-ab2d-942461b724d5", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "spe1 = spe.add_poisson_noise()\n", + "ax = spe1.plot(label='noised spectrum')\n", + "spe.plot(ax=ax, label='original spectrum')\n", + "None" + ] + }, + { + "cell_type": "markdown", + "id": "d79a89a5-3bc3-4c6f-b4ab-6e47125cd4e0", + "metadata": {}, + "source": [ + "# Linear scale" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "64c17833-f098-4316-a5ee-0405b0385587", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "spe2 = spe1.scale_xaxis_linear(factor=3, preserve_integral=True)\n", + "ax = spe1.plot(label='original spectrum')\n", + "spe2.plot(ax=ax, label='scaled spectrum')\n", + "None" + ] + }, + { + "cell_type": "markdown", + "id": "666ab9e5-ede9-41ee-a043-6e030e1cfd92", + "metadata": {}, + "source": [ + "# Simple moving average filter" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "3ca049cd-3812-4071-ad9f-aecff06bb3d0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "spe3 = spe2.moving_average()\n", + "ax = spe2.plot(label='original spectrum')\n", + "spe3.plot(ax=ax, label='SMA filtered spectrum')\n", + "None" + ] + }, + { + "cell_type": "markdown", + "id": "12b19663-6ead-4653-baf7-37856385e8b2", + "metadata": {}, + "source": [ + "# HDF5 example" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "0a2671f3-e0d6-4a65-9e29-6de1b220fd64", + "metadata": {}, + "outputs": [], + "source": [ + "cachefile = 'peak.cha'\n", + "spe1 = spectrum.from_cache_or_calc(cachefile=cachefile, required_steps=[\n", + " {'proc': 'from_delta_lines', 'args': [], 'kwargs': {'nbins': 3000, 'deltas': {200: 100, 600: 50, 1000: 150, 1500: 70}}},\n", + " {'proc': 'convolve', 'args': ['gaussian'], 'kwargs': {'sigma': 5}},\n", + " {'proc': 'normalize', 'args': [], 'kwargs': {}},\n", + " {'proc': 'add_baseline', 'args': [], 'kwargs': {'n_freq': 20, 'pedestal': 0.2, 'amplitude': 0.15}},\n", + " {'proc': 'add_poisson_noise', 'args': [0.002], 'kwargs': {}},\n", + " {'proc': 'normalize', 'args': [], 'kwargs': {}},\n", + " {'proc': 'find_peak_multipeak_filter', 'args': [], 'kwargs': {'prominence': 0.1, 'width': 25}},\n", + " {'proc': 'fit_peaks_filter', 'args': [], 'kwargs': {'profile': 'Gaussian'}},\n", + "])\n", + "spe2 = spectrum.from_cache_or_calc(cachefile=cachefile, required_steps=[\n", + " {'proc': 'from_delta_lines', 'args': [], 'kwargs': {'nbins': 3000, 'deltas': {200: 100, 600: 50, 1000: 150, 1500: 70}}},\n", + " {'proc': 'convolve', 'args': ['gaussian'], 'kwargs': {'sigma': 20}},\n", + " {'proc': 'normalize', 'args': [], 'kwargs': {}},\n", + " {'proc': 'add_baseline', 'args': [], 'kwargs': {'n_freq': 20, 'pedestal': 0.2, 'amplitude': 0.15}},\n", + " {'proc': 'add_poisson_noise', 'args': [0.002], 'kwargs': {}},\n", + " {'proc': 'normalize', 'args': [], 'kwargs': {}},\n", + " {'proc': 'find_peak_multipeak_filter', 'args': [], 'kwargs': {'prominence': 0.1, 'width': 20}},\n", + " {'proc': 'fit_peaks_filter', 'args': [], 'kwargs': {'profile': 'Gaussian'}},\n", + "])\n", + "spe3 = spectrum.from_cache_or_calc(cachefile=cachefile, required_steps=[\n", + " {'proc': 'from_delta_lines', 'args': [], 'kwargs': {'nbins': 3000, 'deltas': {200: 100, 600: 50, 1000: 150, 1500: 70}}},\n", + " {'proc': 'convolve', 'args': ['gaussian'], 'kwargs': {'sigma': 20}},\n", + " {'proc': 'normalize', 'args': [], 'kwargs': {}},\n", + " {'proc': 'add_baseline', 'args': [], 'kwargs': {'n_freq': 20, 'pedestal': 0.2, 'amplitude': 0.15}},\n", + " {'proc': 'add_poisson_noise', 'args': [0.001], 'kwargs': {}},\n", + " {'proc': 'normalize', 'args': [], 'kwargs': {}},\n", + " {'proc': 'find_peak_multipeak_filter', 'args': [], 'kwargs': {'prominence': 0.1, 'width': 20}},\n", + " {'proc': 'fit_peaks_filter', 'args': [], 'kwargs': {'profile': 'Gaussian'}},\n", + "])" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "43f95725-f25f-4049-836a-40a9d92b1ee7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ax = spe1.plot()\n", + "spe2.plot(ax=ax)\n", + "spe3.plot(ax=ax)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "ramanchada2", + "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": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/publication/fit_spe_composite_model.ipynb b/examples/publication/fit_spe_composite_model.ipynb new file mode 100644 index 00000000..d07b5613 --- /dev/null +++ b/examples/publication/fit_spe_composite_model.ipynb @@ -0,0 +1,270 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "1881e2b1-44d3-49fe-8cfd-daa600f5b0e7", + "metadata": {}, + "outputs": [], + "source": [ + "import ramanchada2 as rc2\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "5446ea3b-5498-455a-9ad1-74a9020f0789", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "spe = rc2.spectrum.from_test_spe(sample=['PST'], provider=['FNMT'], OP=['01'], laser_wl=['785'])\n", + "spe = spe.normalize()\n", + "spe.plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "58cbe255-120d-4727-b823-593c618dc66e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(-0.1, 0.5)" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "kw_sharpening = dict(filter_fraction=1, sig_width=.4, der2_factor=0, der4_factor=.1)\n", + "sharpened = spe.subtract_moving_minimum(60).normalize().derivative_sharpening(**kw_sharpening)\n", + "\n", + "fig, ax = plt.subplots(ncols=2, figsize=(12, 8))\n", + "for a in ax:\n", + " spe.plot(ax=a, label='spe')\n", + " sharpened.plot(ax=a, label='sharpened')\n", + "ax[0].set_xlim(900, 1300)\n", + "ax[1].set_xlim(1500, 1700)\n", + "ax[1].set_ylim(-.1, .5)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "96b06285-0663-4c1d-8b56-a22ece184c8c", + "metadata": {}, + "outputs": [], + "source": [ + "peak_candidates = spe.find_peak_multipeak(sharpening='hht', strategy='topo')" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "3d2ebc2d-8c1d-4aae-9014-e919a96e7b6d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(figsize=(12, 8))\n", + "peak_candidates.plot(ax=ax.twinx())\n", + "spe.plot(ax=ax)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "415f10e0-b004-49e6-bd49-01faf4dcfd52", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "d:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\misc\\plottable.py:12: UserWarning: No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n", + " ax.legend()\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fitres = spe.fit_peak_multimodel(profile='Moffat', candidates=peak_candidates, no_fit=True)\n", + "fig, ax = plt.subplots(figsize=(12, 8))\n", + "fitres.plot(ax=ax, individual_peaks=False)\n", + "spe.plot(ax=ax)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "03268cf5-2e46-464c-9d8b-7b42df41b0c6", + "metadata": {}, + "outputs": [], + "source": [ + "fitres = spe.fit_peak_multimodel(profile='Moffat', candidates=peak_candidates, no_fit=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "7edf697c-455b-4927-aeab-a00e4c55e063", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(figsize=(12, 8))\n", + "fitres.plot(ax=ax, individual_peaks=False)\n", + "spe.plot(ax=ax)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "b1c6d19a-41f8-498e-888e-a5340ddf6888", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(figsize=(12, 8))\n", + "fitres.plot(ax=ax, individual_peaks=True)\n", + "spe.plot(ax=ax)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "ramanchada2", + "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": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/publication/simulation-to-spectrum.ipynb b/examples/publication/simulation-to-spectrum.ipynb new file mode 100644 index 00000000..ac13c259 --- /dev/null +++ b/examples/publication/simulation-to-spectrum.ipynb @@ -0,0 +1,150 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "9fc320ad", + "metadata": {}, + "source": [ + "# Theoretical spectra integration " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "5ef2a28a-959a-4341-a4d7-45ac0f8bc47e", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "import ramanchada2 as rc2\n", + "\n", + "from scipy import signal\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "407629a5-d42f-481a-970c-5a6c47b7be31", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "vasp_sim_fn = '../../tests/data/simulations/vasp/snCAL_vasp_raman_ALL.dat'\n", + "crystal_dat_fn = '../../tests/data/simulations/crystal/calcite_CRYSTAL_PBE_raw_data.dat'\n", + "crystal_out_fn = '../../tests/data/simulations/crystal/Anatase_PBE_pob_TZVP_Raman_intens.out'" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "2cd4efb1-3396-4d70-b54c-b47e736b8f6c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "vasp_spe = rc2.spectrum.from_simulation(vasp_sim_fn, sim_type='vasp')\n", + "crystal_dat_spe = rc2.spectrum.from_simulation(crystal_dat_fn, sim_type='crystal_dat')\n", + "crystal_out_spe = rc2.spectrum.from_simulation(crystal_out_fn, sim_type='crystal_out')\n", + "fig, ax = plt.subplots(1,2,figsize=(12,3))\n", + "\n", + "vasp_spe.plot(ax=ax[0], label='vasp')\n", + "crystal_dat_spe.plot(ax=ax[0], label='crystal_dat')\n", + "crystal_out_spe.plot(ax=ax[0], label='crystal_out')\n", + "\n", + "\n", + "vasp_spe.resample_spline_filter(x_range=(0, 3500), xnew_bins=800,spline='makima').plot(ax=ax[1], label='vasp')\n", + "crystal_dat_spe.resample_spline_filter(x_range=(0, 3500), xnew_bins=800,spline='makima').plot(ax=ax[1], label='crystal_dat')\n", + "crystal_out_spe.resample_spline_filter(x_range=(0, 3500), xnew_bins=800,spline='makima').plot(ax=ax[1], label='crystal_out')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "4651980b-892b-4706-8d38-edcdddbfd04f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "vasp_spe_tot = rc2.spectrum.from_simulation(vasp_sim_fn, sim_type='vasp', use='I_tot')\n", + "vasp_spe_par = rc2.spectrum.from_simulation(vasp_sim_fn, sim_type='vasp', use='I_par')\n", + "vasp_spe_perp = rc2.spectrum.from_simulation(vasp_sim_fn, sim_type='vasp', use='I_perp')\n", + "\n", + "fig, ax = plt.subplots(1,2,figsize=(12,3))\n", + "\n", + "vasp_spe_tot.plot(ax=ax[0], label='vasp')\n", + "vasp_spe_par.plot(ax=ax[0], label='crystal_dat')\n", + "vasp_spe_perp.plot(ax=ax[0], label='crystal_out')\n", + "\n", + "\n", + "vasp_spe_tot.resample_spline_filter(x_range=(0, 3500), xnew_bins=800,spline='makima').plot(ax=ax[1], label='I_tot')\n", + "vasp_spe_par.resample_spline_filter(x_range=(0, 3500), xnew_bins=800,spline='makima').plot(ax=ax[1], label='I_par')\n", + "vasp_spe_perp.resample_spline_filter(x_range=(0, 3500), xnew_bins=800,spline='makima').plot(ax=ax[1], label='I_perp')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "ramanchada2", + "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": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/publication/simulation_experiment_comparison_demo.ipynb b/examples/publication/simulation_experiment_comparison_demo.ipynb new file mode 100644 index 00000000..5d25395b --- /dev/null +++ b/examples/publication/simulation_experiment_comparison_demo.ipynb @@ -0,0 +1,520 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "74a0c04b-4151-41a7-9852-83db0be26774", + "metadata": { + "tags": [] + }, + "source": [ + "# Theoretical spectra integration \n", + "## Comparison of simulated and experimental spectra" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "5a07a056-112a-49a1-87d4-77a42605a1ac", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "from ramanchada2.theoretical_lines.model_from_lines import model_from_lines\n", + "from ramanchada2.io.simulated.read_simulated_lines import read_simulated_lines\n", + "from ramanchada2.io.simulated.crystal.discrete_lines_dat import lines_from_crystal_dat\n", + "from ramanchada2 import spectrum\n", + "\n", + "from lmfit import Model, Parameters\n", + "from lmfit.models import VoigtModel, GaussianModel\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "274dd1c6-b3ee-4a6b-8e58-d739de50391f", + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "vasp_sim_fn = '../../tests/data/simulations/vasp/snCAL_vasp_raman_ALL.dat'\n", + "crystal_sim_raw_fn = '../../tests/data/simulations/crystal/calcite_CRYSTAL_PBE_raw_data.dat'\n", + "crystal_sim_convolved_fn = '../../tests/data/simulations/crystal/calcite_CRYSTAL_PBE_convoluted.dat'\n", + "\n", + "exp_spe_fn = '../../tests/data/experimental/Renishaw/nCal_Qontor785_z005H12_100_1x3s.spc'" + ] + }, + { + "cell_type": "markdown", + "id": "89c898c1-7b3a-47cb-b849-2ee1906985cc", + "metadata": { + "tags": [] + }, + "source": [ + "## read _vasp_ simulation for CAL" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "d209404c-4fce-40cd-8a2f-686c2167b880", + "metadata": {}, + "outputs": [], + "source": [ + "def get_model_pars(filename, sim_type, *spe_type):\n", + " return model_from_lines(\n", + " *read_simulated_lines(\n", + " open(filename),\n", + " sim_type=sim_type,\n", + " use=spe_type\n", + " ),\n", + " #model='gaussian'\n", + " )\n", + "\n", + "\n", + "def get_spectrum(filename, sim_type, *spe_type):\n", + " mod, pars = get_model_pars(filename, sim_type, *spe_type)\n", + " return spectrum.from_theoretical_lines(mod, pars, x=2000)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "a9a9793a", + "metadata": {}, + "outputs": [ + { + "ename": "ValidationError", + "evalue": "2 validation errors for from_theoretical_lines\n0\n Input should be a valid list [type=list_type, input_value=(((((((((((((((((((((((((..., prefix='I_perp__30_')), input_type=CompositeModel]\n For further information visit https://errors.pydantic.dev/2.9/v/list_type\n1\n Input should be a valid list [type=list_type, input_value=Parameters([('pedestal', ...f:inf], expr='sigma'>)]), input_type=Parameters]\n For further information visit https://errors.pydantic.dev/2.9/v/list_type", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mValidationError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[4], line 5\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;66;03m#vasp_par['sigma'].set(value=3)\u001b[39;00m\n\u001b[0;32m 2\u001b[0m \u001b[38;5;66;03m#vasp_spe = spectrum.from_theoretical_lines(vasp_mod, vasp_par, x=2000)\u001b[39;00m\n\u001b[0;32m 3\u001b[0m \u001b[38;5;66;03m#vasp_spe.plot()\u001b[39;00m\n\u001b[0;32m 4\u001b[0m fig, ax \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39msubplots(\u001b[38;5;241m1\u001b[39m, figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m12\u001b[39m, \u001b[38;5;241m5\u001b[39m))\n\u001b[1;32m----> 5\u001b[0m \u001b[43mget_spectrum\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvasp_sim_fn\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mvasp\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mI_perp\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mI_par\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mplot(ax\u001b[38;5;241m=\u001b[39max, label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mI_perp+I_par\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 6\u001b[0m get_spectrum(vasp_sim_fn, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mvasp\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mI_par\u001b[39m\u001b[38;5;124m'\u001b[39m)\u001b[38;5;241m.\u001b[39mplot(ax\u001b[38;5;241m=\u001b[39max, label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mI_par\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 7\u001b[0m get_spectrum(vasp_sim_fn, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mvasp\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mI_perp\u001b[39m\u001b[38;5;124m'\u001b[39m)\u001b[38;5;241m.\u001b[39mplot(ax\u001b[38;5;241m=\u001b[39max, label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mI_perp\u001b[39m\u001b[38;5;124m'\u001b[39m)\n", + "Cell \u001b[1;32mIn[3], line 14\u001b[0m, in \u001b[0;36mget_spectrum\u001b[1;34m(filename, sim_type, *spe_type)\u001b[0m\n\u001b[0;32m 12\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_spectrum\u001b[39m(filename, sim_type, \u001b[38;5;241m*\u001b[39mspe_type):\n\u001b[0;32m 13\u001b[0m mod, pars \u001b[38;5;241m=\u001b[39m get_model_pars(filename, sim_type, \u001b[38;5;241m*\u001b[39mspe_type)\n\u001b[1;32m---> 14\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mspectrum\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_theoretical_lines\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmod\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpars\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m2000\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\misc\\spectrum_deco\\spectrum_constructor.py:15\u001b[0m, in \u001b[0;36madd_spectrum_constructor.__call__..retf\u001b[1;34m(cachefile_, *args, **kwargs)\u001b[0m\n\u001b[0;32m 13\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(fun)\n\u001b[0;32m 14\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mretf\u001b[39m(\u001b[38;5;241m*\u001b[39margs, cachefile_\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Spectrum:\n\u001b[1;32m---> 15\u001b[0m spe \u001b[38;5;241m=\u001b[39m \u001b[43mfun\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 16\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mset_proc:\n\u001b[0;32m 17\u001b[0m spe\u001b[38;5;241m.\u001b[39m_applied_processings\u001b[38;5;241m.\u001b[39massign(proc\u001b[38;5;241m=\u001b[39mfun\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m, args\u001b[38;5;241m=\u001b[39margs, kwargs\u001b[38;5;241m=\u001b[39mkwargs)\n", + "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\pydantic\\validate_call_decorator.py:60\u001b[0m, in \u001b[0;36mvalidate_call..validate..wrapper_function\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 58\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mwraps(function)\n\u001b[0;32m 59\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwrapper_function\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m---> 60\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mvalidate_call_wrapper\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\pydantic\\_internal\\_validate_call.py:96\u001b[0m, in \u001b[0;36mValidateCallWrapper.__call__\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 95\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs: Any, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: Any) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Any:\n\u001b[1;32m---> 96\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m__pydantic_validator__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalidate_python\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpydantic_core\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mArgsKwargs\u001b[49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 97\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__return_pydantic_validator__:\n\u001b[0;32m 98\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__return_pydantic_validator__(res)\n", + "\u001b[1;31mValidationError\u001b[0m: 2 validation errors for from_theoretical_lines\n0\n Input should be a valid list [type=list_type, input_value=(((((((((((((((((((((((((..., prefix='I_perp__30_')), input_type=CompositeModel]\n For further information visit https://errors.pydantic.dev/2.9/v/list_type\n1\n Input should be a valid list [type=list_type, input_value=Parameters([('pedestal', ...f:inf], expr='sigma'>)]), input_type=Parameters]\n For further information visit https://errors.pydantic.dev/2.9/v/list_type" + ] + }, + { + "data": { + "image/png": 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fiKlTp8bNN998Qtc5fPhw9PT0DHkAAADARJYrwA8ePBj9/f1RWVk5ZLyysjI6OzuHXfOb3/wmnnjiiVi3bt0JX6e5uTkqKioGH9XV1Xm2CQAAAOPOmH4K+qFDh2LRokWxbt26mDJlygmvW7FiRXR3dw8+9u3bN4a7BAAAgLE3Kc/kKVOmRElJSXR1dQ0Z7+rqiqqqqqPm//GPf4w9e/bE/PnzB8cGBgb+feFJk2LXrl1x0UUXHbWuUChEoVDIszUAAAAY13LdAS8tLY05c+ZEW1vb4NjAwEC0tbVFbW3tUfMvueSSePnll6Ojo2Pw8clPfjKuu+666Ojo8NZyAAAAzhi57oBHRDQ2NsaSJUti7ty5MW/evFizZk309vbG0qVLIyJi8eLFMWPGjGhubo6ysrK49NJLh6w/77zzIiKOGgcAAIDTWe4Ab2hoiAMHDsTKlSujs7MzZs+eHa2trYMfzLZ3794oLh7THy0HAACACacoy7LsVG/i7fT09ERFRUV0d3dHeXn5qd4OAAAAp7mx6FC3qgEAACABAQ4AAAAJCHAAAABIQIADAABAAgIcAAAAEhDgAAAAkIAABwAAgAQEOAAAACQgwAEAACABAQ4AAAAJCHAAAABIQIADAABAAgIcAAAAEhDgAAAAkIAABwAAgAQEOAAAACQgwAEAACABAQ4AAAAJCHAAAABIQIADAABAAgIcAAAAEhDgAAAAkIAABwAAgAQEOAAAACQgwAEAACABAQ4AAAAJCHAAAABIQIADAABAAgIcAAAAEhDgAAAAkIAABwAAgAQEOAAAACQgwAEAACABAQ4AAAAJCHAAAABIQIADAABAAgIcAAAAEhDgAAAAkIAABwAAgAQEOAAAACQgwAEAACABAQ4AAAAJCHAAAABIQIADAABAAgIcAAAAEhDgAAAAkIAABwAAgAQEOAAAACQgwAEAACABAQ4AAAAJCHAAAABIQIADAABAAgIcAAAAEhDgAAAAkIAABwAAgAQEOAAAACQgwAEAACABAQ4AAAAJCHAAAABIQIADAABAAgIcAAAAEhDgAAAAkIAABwAAgAQEOAAAACQgwAEAACABAQ4AAAAJjCjAW1paYubMmVFWVhY1NTWxZcuWY85dt25dXHPNNTF58uSYPHly1NXVHXc+AAAAnI5yB/iGDRuisbExmpqaYtu2bTFr1qyor6+P/fv3Dzt/8+bNsXDhwnjxxRejvb09qqur4/rrr4/XX3/9pDcPAAAAE0VRlmVZngU1NTVx5ZVXxqOPPhoREQMDA1FdXR233357LF++/G3X9/f3x+TJk+PRRx+NxYsXn9A1e3p6oqKiIrq7u6O8vDzPdgEAACC3sejQXHfA+/r6YuvWrVFXV/ffJygujrq6umhvbz+h53jzzTfjrbfeivPPP/+Ycw4fPhw9PT1DHgAAADCR5QrwgwcPRn9/f1RWVg4Zr6ysjM7OzhN6jrvvvjumT58+JOL/V3Nzc1RUVAw+qqur82wTAAAAxp2kn4K+evXqWL9+fTz77LNRVlZ2zHkrVqyI7u7uwce+ffsS7hIAAABG36Q8k6dMmRIlJSXR1dU1ZLyrqyuqqqqOu/ahhx6K1atXxy9/+cu4/PLLjzu3UChEoVDIszUAAAAY13LdAS8tLY05c+ZEW1vb4NjAwEC0tbVFbW3tMdd95zvfiQcffDBaW1tj7ty5I98tAAAATFC57oBHRDQ2NsaSJUti7ty5MW/evFizZk309vbG0qVLIyJi8eLFMWPGjGhubo6IiG9/+9uxcuXKePrpp2PmzJmDPyv+jne8I97xjneM4ksBAACA8St3gDc0NMSBAwdi5cqV0dnZGbNnz47W1tbBD2bbu3dvFBf/98b69773vejr64tPf/rTQ56nqakpvv71r5/c7gEAAGCCyP094KeC7wEHAAAgpVP+PeAAAADAyAhwAAAASECAAwAAQAICHAAAABIQ4AAAAJCAAAcAAIAEBDgAAAAkIMABAAAgAQEOAAAACQhwAAAASECAAwAAQAICHAAAABIQ4AAAAJCAAAcAAIAEBDgAAAAkIMABAAAgAQEOAAAACQhwAAAASECAAwAAQAICHAAAABIQ4AAAAJCAAAcAAIAEBDgAAAAkIMABAAAgAQEOAAAACQhwAAAASECAAwAAQAICHAAAABIQ4AAAAJCAAAcAAIAEBDgAAAAkIMABAAAgAQEOAAAACQhwAAAASECAAwAAQAICHAAAABIQ4AAAAJCAAAcAAIAEBDgAAAAkIMABAAAgAQEOAAAACQhwAAAASECAAwAAQAICHAAAABIQ4AAAAJCAAAcAAIAEBDgAAAAkIMABAAAgAQEOAAAACQhwAAAASECAAwAAQAICHAAAABIQ4AAAAJCAAAcAAIAEBDgAAAAkIMABAAAgAQEOAAAACQhwAAAASECAAwAAQAICHAAAABIQ4AAAAJCAAAcAAIAEBDgAAAAkIMABAAAgAQEOAAAACQhwAAAASGBEAd7S0hIzZ86MsrKyqKmpiS1bthx3/k9+8pO45JJLoqysLC677LLYtGnTiDYLAAAAE1XuAN+wYUM0NjZGU1NTbNu2LWbNmhX19fWxf//+Yee/9NJLsXDhwrj55ptj+/btsWDBgliwYEG88sorJ715AAAAmCiKsizL8iyoqamJK6+8Mh599NGIiBgYGIjq6uq4/fbbY/ny5UfNb2hoiN7e3vj5z38+OPbRj340Zs+eHWvXrj2ha/b09ERFRUV0d3dHeXl5nu0CAABAbmPRoZPyTO7r64utW7fGihUrBseKi4ujrq4u2tvbh13T3t4ejY2NQ8bq6+vjueeeO+Z1Dh8+HIcPHx78dXd3d0T8+38AAAAAjLX/9GfOe9bHlSvADx48GP39/VFZWTlkvLKyMnbu3Dnsms7OzmHnd3Z2HvM6zc3N8cADDxw1Xl1dnWe7AAAAcFL++te/RkVFxag8V64AT2XFihVD7pq/8cYb8Z73vCf27t07ai8cxpuenp6orq6Offv2+VELTlvOOWcC55wzgXPOmaC7uzsuuOCCOP/880ftOXMF+JQpU6KkpCS6urqGjHd1dUVVVdWwa6qqqnLNj4goFApRKBSOGq+oqPAbnNNeeXm5c85pzznnTOCccyZwzjkTFBeP3rd353qm0tLSmDNnTrS1tQ2ODQwMRFtbW9TW1g67pra2dsj8iIgXXnjhmPMBAADgdJT7LeiNjY2xZMmSmDt3bsybNy/WrFkTvb29sXTp0oiIWLx4ccyYMSOam5sjIuKOO+6Ia6+9Nh5++OG48cYbY/369fH73/8+Hn/88dF9JQAAADCO5Q7whoaGOHDgQKxcuTI6Oztj9uzZ0draOvhBa3v37h1yi/6qq66Kp59+Ou67776455574v3vf38899xzcemll57wNQuFQjQ1NQ37tnQ4XTjnnAmcc84EzjlnAuecM8FYnPPc3wMOAAAA5Dd6P00OAAAAHJMABwAAgAQEOAAAACQgwAEAACCBcRPgLS0tMXPmzCgrK4uamprYsmXLcef/5Cc/iUsuuSTKysrisssui02bNiXaKYxcnnO+bt26uOaaa2Ly5MkxefLkqKure9vfFzAe5P3z/D/Wr18fRUVFsWDBgrHdIIyCvOf8jTfeiGXLlsW0adOiUCjExRdf7O8ujHt5z/maNWviAx/4QJx99tlRXV0dd911V/zrX/9KtFvI59e//nXMnz8/pk+fHkVFRfHcc8+97ZrNmzfHRz7ykSgUCvG+970vnnzyydzXHRcBvmHDhmhsbIympqbYtm1bzJo1K+rr62P//v3Dzn/ppZdi4cKFcfPNN8f27dtjwYIFsWDBgnjllVcS7xxOXN5zvnnz5li4cGG8+OKL0d7eHtXV1XH99dfH66+/nnjncOLynvP/2LNnT3zlK1+Ja665JtFOYeTynvO+vr74xCc+EXv27Ilnnnkmdu3aFevWrYsZM2Yk3jmcuLzn/Omnn47ly5dHU1NT7NixI5544onYsGFD3HPPPYl3Diemt7c3Zs2aFS0tLSc0/09/+lPceOONcd1110VHR0fceeedccstt8Tzzz+f78LZODBv3rxs2bJlg7/u7+/Ppk+fnjU3Nw87/zOf+Ux24403DhmrqanJvvCFL4zpPuFk5D3n/+vIkSPZueeemz311FNjtUU4aSM550eOHMmuuuqq7Pvf/362ZMmS7FOf+lSCncLI5T3n3/ve97ILL7ww6+vrS7VFOGl5z/myZcuyj3/840PGGhsbs6uvvnpM9wmjISKyZ5999rhzvva1r2Uf/vCHh4w1NDRk9fX1ua51yu+A9/X1xdatW6Ourm5wrLi4OOrq6qK9vX3YNe3t7UPmR0TU19cfcz6caiM55//rzTffjLfeeivOP//8sdomnJSRnvNvfOMbMXXq1Lj55ptTbBNOykjO+c9+9rOora2NZcuWRWVlZVx66aWxatWq6O/vT7VtyGUk5/yqq66KrVu3Dr5Nfffu3bFp06a44YYbkuwZxtpoNeik0dzUSBw8eDD6+/ujsrJyyHhlZWXs3Llz2DWdnZ3Dzu/s7ByzfcLJGMk5/1933313TJ8+/ajf+DBejOSc/+Y3v4knnngiOjo6EuwQTt5Izvnu3bvjV7/6VXzuc5+LTZs2xWuvvRZf+tKX4q233oqmpqYU24ZcRnLOb7rppjh48GB87GMfiyzL4siRI3Hbbbd5CzqnjWM1aE9PT/zzn/+Ms88++4Se55TfAQfe3urVq2P9+vXx7LPPRllZ2aneDoyKQ4cOxaJFi2LdunUxZcqUU70dGDMDAwMxderUePzxx2POnDnR0NAQ9957b6xdu/ZUbw1GzebNm2PVqlXx2GOPxbZt2+KnP/1pbNy4MR588MFTvTUYV075HfApU6ZESUlJdHV1DRnv6uqKqqqqYddUVVXlmg+n2kjO+X889NBDsXr16vjlL38Zl19++VhuE05K3nP+xz/+Mfbs2RPz588fHBsYGIiIiEmTJsWuXbvioosuGttNQ04j+fN82rRpcdZZZ0VJScng2Ac/+MHo7OyMvr6+KC0tHdM9Q14jOef3339/LFq0KG655ZaIiLjsssuit7c3br311rj33nujuNh9Pya2YzVoeXn5Cd/9jhgHd8BLS0tjzpw50dbWNjg2MDAQbW1tUVtbO+ya2traIfMjIl544YVjzodTbSTnPCLiO9/5Tjz44IPR2toac+fOTbFVGLG85/ySSy6Jl19+OTo6OgYfn/zkJwc/XbS6ujrl9uGEjOTP86uvvjpee+21wX9gioh49dVXY9q0aeKbcWkk5/zNN988KrL/849O//6MK5jYRq1B830+3NhYv359VigUsieffDL7wx/+kN16663Zeeedl3V2dmZZlmWLFi3Kli9fPjj/t7/9bTZp0qTsoYceynbs2JE1NTVlZ511Vvbyyy+fqpcAbyvvOV+9enVWWlqaPfPMM9lf/vKXwcehQ4dO1UuAt5X3nP8vn4LORJD3nO/duzc799xzsy9/+cvZrl27sp///OfZ1KlTs29+85un6iXA28p7zpuamrJzzz03+9GPfpTt3r07+8UvfpFddNFF2Wc+85lT9RLguA4dOpRt37492759exYR2SOPPJJt3749+/Of/5xlWZYtX748W7Ro0eD83bt3Z+ecc0721a9+NduxY0fW0tKSlZSUZK2trbmuOy4CPMuy7Lvf/W52wQUXZKWlpdm8efOy3/3ud4P/7dprr82WLFkyZP6Pf/zj7OKLL85KS0uzD3/4w9nGjRsT7xjyy3PO3/Oe92QRcdSjqakp/cYhh7x/nv//BDgTRd5z/tJLL2U1NTVZoVDILrzwwuxb3/pWduTIkcS7hnzynPO33nor+/rXv55ddNFFWVlZWVZdXZ196Utfyv7+97+n3zicgBdffHHYv2v/51wvWbIku/baa49aM3v27Ky0tDS78MILsx/+8Ie5r1uUZd4TAgAAAGPtlP8MOAAAAJwJBDgAAAAkIMABAAAgAQEOAAAACQhwAAAASECAAwAAQAICHAAAABIQ4AAAAJCAAAcAAIAEBDgAAAAkIMABAAAgAQEOAAAACfw/x1g7RlXHBVMAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#vasp_par['sigma'].set(value=3)\n", + "#vasp_spe = spectrum.from_theoretical_lines(vasp_mod, vasp_par, x=2000)\n", + "#vasp_spe.plot()\n", + "fig, ax = plt.subplots(1, figsize=(12, 5))\n", + "get_spectrum(vasp_sim_fn, 'vasp', 'I_perp', 'I_par').plot(ax=ax, label='I_perp+I_par')\n", + "get_spectrum(vasp_sim_fn, 'vasp', 'I_par').plot(ax=ax, label='I_par')\n", + "get_spectrum(vasp_sim_fn, 'vasp', 'I_perp').plot(ax=ax, label='I_perp')\n", + "get_spectrum(vasp_sim_fn, 'vasp', 'I_tot').plot(ax=ax, label='I_tot')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "83b8e5d5-d9af-4122-a9cf-4011eba97809", + "metadata": {}, + "outputs": [], + "source": [ + "read_simulated_lines(open(crystal_sim_raw_fn), 'crystal_dat')" + ] + }, + { + "cell_type": "markdown", + "id": "9a1e3554-073e-46ef-99bb-4fdea97f30e4", + "metadata": {}, + "source": [ + "## Compare a typical experimental spectrum with _vasp_ and _crystal_ simulations" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fe6d9794-8491-41cf-918d-e75a4aaa52eb", + "metadata": {}, + "outputs": [], + "source": [ + "with open(crystal_sim_convolved_fn) as f:\n", + " crystal_convolved = lines_from_crystal_dat(f)\n", + " \n", + "fig, ax = plt.subplots(4, figsize=(7, 4), sharex=True)\n", + "ax[0].set_ylabel('Exp\\n[a.u.]')\n", + "ax[1].set_ylabel('I_tot\\n[a.u.]')\n", + "ax[2].set_ylabel('I_par\\n[a.u.]')\n", + "ax[3].set_ylabel('I_perp\\n[a.u.]')\n", + "ax[3].set_xlabel('Raman shift [$\\mathrm{cm}^{-1}$]')\n", + "\n", + "for i, k in enumerate([\n", + " 'I_tot',\n", + " 'I_par',\n", + " 'I_perp',\n", + " #'I_xx',\n", + " #'I_xy',\n", + " #'I_xz',\n", + " #'I_yy',\n", + " #'I_yz',\n", + " #'I_zz'\n", + "]):\n", + " get_spectrum(crystal_sim_raw_fn, 'crystal_dat', k).normalize().plot(ax=ax[i+1], fmt='r', label=f\"Crystal\")\n", + " ax[i+1].legend()\n", + "\n", + "exp_spe = spectrum.from_local_file(exp_spe_fn)\n", + "exp_spe.normalize().plot(ax=ax[0], label=\"nCAL; 785 nm\")\n", + "\n", + "get_spectrum(vasp_sim_fn, 'vasp', 'I_tot').normalize().plot(ax=ax[1], fmt='g', label='Vasp')\n", + "get_spectrum(vasp_sim_fn, 'vasp', 'I_par').normalize().plot(ax=ax[2], fmt='g', label='Vasp')\n", + "get_spectrum(vasp_sim_fn, 'vasp', 'I_perp').normalize().plot(ax=ax[3], fmt='g', label='Vasp')\n", + "\n", + "#vasp_spe.plot(ax=ax[1], label='vasp')\n", + "ax[0].set_xlim(-100, 1800)\n", + "#ax.legend()\n", + "for a in ax:\n", + " a.legend(loc='upper right')\n", + " a.grid(color='y', linestyle=':', linewidth=.5)\n", + "None\n", + "fig.suptitle('CAL - Experiment vs Simulation')\n", + "fig.savefig('cal.pdf')\n" + ] + }, + { + "cell_type": "markdown", + "id": "b9c5998c-80d3-49f4-8f7d-3fcc4a9c1b2c", + "metadata": {}, + "source": [ + "## read _crystal_ simulation" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "77179473-42ad-478f-a2bc-fda4e8d1c527", + "metadata": {}, + "outputs": [], + "source": [ + "with open(crystal_sim_raw_fn) as f:\n", + " crystal_lines = lines_from_crystal_dat(f)" + ] + }, + { + "cell_type": "markdown", + "id": "8734c93c-503b-4912-b327-6f9c9f5ad845", + "metadata": {}, + "source": [ + "## build a model and find `sigma`, `x0` and `x1` parameters based on _I_perp_ and _I_par_" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "267ec522-278f-4c27-8b06-2787cd9d0673", + "metadata": {}, + "outputs": [], + "source": [ + "exp_spe_au = exp_spe.normalize()\n", + "mod, pars = get_model_pars(crystal_sim_raw_fn, 'crystal_dat', 'I_par', 'I_perp')\n", + "result_crystal = mod.fit(exp_spe_au.y, params=pars, x=exp_spe_au.x)\n", + "\n", + "mod, pars = get_model_pars(vasp_sim_fn, 'vasp', 'I_par', 'I_perp')\n", + "result_vasp = mod.fit(exp_spe_au.y, params=pars, x=exp_spe_au.x)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "218bfa85-8c37-4b66-884d-b590a91ff3a5", + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots(1, figsize=(7, 4))\n", + "exp_spe.plot(ax=ax, label=\"Experimental\")\n", + "x = np.arange(-100, 2000)\n", + "pars['I_perp_amplitude'].set(value=10)\n", + "pars['I_par_amplitude'].set(value=10)\n", + "r = mod.eval(params=pars, x=x)\n", + "ax1 = ax.twinx()\n", + "ax1.plot(x, r, 'r')\n", + "ax.set_xlim(xmax=2000)\n", + "\n", + "result = mod.fit(exp_spe.y, params=pars, x=exp_spe.x)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4eb70b2a-b80a-45d8-9eea-9ab936fd1d7b", + "metadata": {}, + "outputs": [], + "source": [ + "def ratio_string(result):\n", + " ss = result.params['I_par_amplitude']+result.params['I_perp_amplitude']\n", + " return f\"I_par {result.params['I_par_amplitude'] / ss*100:.0f} %\\nI_perp {result.params['I_perp_amplitude']/ss*100:.0f} %\"\n", + "ratio_string(result_crystal), ratio_string(result_vasp)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b76c71a4-0963-4d69-b619-baa5196349a5", + "metadata": {}, + "outputs": [], + "source": [ + "x = np.arange(-100, 2000)\n", + "y_crystal = result_crystal.eval(x=x)\n", + "y_vasp = result_vasp.eval(x=x)\n", + "\n", + "fig, ax = plt.subplots(1, figsize=(5, 3), tight_layout=True)\n", + "ax.plot(exp_spe_au.x, exp_spe_au.y, label=\"Experimental\", lw=1)\n", + "ax.plot(x, y_vasp, '-.', label=ratio_string(result_vasp), lw=1)\n", + "ax.set_xlim(xmax=2000)\n", + "ax.legend(loc='upper left')\n", + "ax.set_xlabel('Raman shift [$\\mathrm{cm}^{-1}$]')\n", + "ax.set_ylabel('Intensity [a.u.]')\n", + "ax.set_title('nCAL, Best fit Vasp')\n", + "\n", + "fig.savefig('cal-fit-vasp.pdf')\n", + "\n", + "\n", + "fig, ax = plt.subplots(1, figsize=(5, 3), tight_layout=True)\n", + "ax.plot(exp_spe_au.x, exp_spe_au.y, label=\"Experimental\", lw=1)\n", + "ax.plot(x, y_crystal, '--', label=ratio_string(result_crystal), lw=1)\n", + "ax.set_xlim(xmax=2000)\n", + "ax.legend(loc='upper left')\n", + "\n", + "ax.set_title('nCAL, Best fit Crystal')\n", + "\n", + "ax.set_xlabel('Raman shift [$\\mathrm{cm}^{-1}$]')\n", + "ax.set_ylabel('Intensity [a.u.]')\n", + "\n", + "fig.savefig('cal-fit-crystal.pdf')\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "726cea4a-eb7b-4e90-b1cc-c68eb7c0b3e7", + "metadata": {}, + "outputs": [], + "source": [ + "spe_types = [\n", + " #'I_tot',\n", + " 'I_par',\n", + " 'I_perp',\n", + " #'I_xx',\n", + " #'I_xy',\n", + " #'I_xz',\n", + " #'I_yy',\n", + " #'I_yz',\n", + " #'I_zz'\n", + "]\n", + "\n", + "lm_model = VoigtModel\n", + "crystal_par_perp_model = np.sum([\n", + " lm_model(prefix=f\"{spe_t}_{li}_\", name=f\"{spe_t}_{li}\")\n", + " for spe_t in spe_types\n", + " for li in range(len(crystal_lines['Frequencies']))\n", + "])\n", + "\n", + "crystal_par_perp_params = Parameters()\n", + "crystal_par_perp_params.add('sigma', 2, min=0)\n", + "crystal_par_perp_params.add('x0', 0)\n", + "crystal_par_perp_params.add('x1', 1)\n", + "for spe_t in spe_types:\n", + " crystal_par_perp_params.add(f'{spe_t}_amplitude', 200, min=0)\n", + " crystal_par_perp_params.add(f'{spe_t}_pedestal', 0, min=0)\n", + " for i, pos, intens in zip(range(len(crystal_lines['Frequencies'])),\n", + " crystal_lines['Frequencies'].values,\n", + " crystal_lines[spe_t].values\n", + " ):\n", + " prefix = f\"{spe_t}_{i}_\"\n", + " crystal_par_perp_params.add(prefix+'amplitude', expr=f\"({intens}*{spe_t}_amplitude)+{spe_t}_pedestal\")\n", + " crystal_par_perp_params.add(prefix+'center', expr=f\"({pos}*x1)+x0\")\n", + " crystal_par_perp_params.add(prefix+'sigma', expr='sigma')\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "34f0fdc2-81fa-4687-ac03-f88912e4dba4", + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots(1, figsize=(12,5))\n", + "ax.plot(exp_spe.x, exp_spe.y, label='spe nCAL')\n", + "\n", + "ax.plot(crystal_par_perp_model.eval(params=crystal_par_perp_params, x=np.arange(0, 2000)), label='CRYSTAL sim')\n", + "\n", + "ax.set_xlim(xmax=2000)\n", + "\n", + "ax.legend()\n", + "show_keys = ['x0', 'x1', 'I_perp_amplitude', 'I_par_amplitude', 'sigma']\n", + "{k: v for k, v in crystal_par_perp_params.items() if k in show_keys}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9a74752d-431f-4fa1-9eb9-bebd17cf16e8", + "metadata": {}, + "outputs": [], + "source": [ + "result = crystal_par_perp_model.fit(exp_spe.y, crystal_par_perp_params, x=exp_spe.x)\n", + "#result.values" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "588cc3a6-601e-435a-bc06-89ee649c1da8", + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots(1, figsize=(12,5))\n", + "ax.plot(exp_spe.x, exp_spe.y, label='exp spe nCAL')\n", + "\n", + "ax.plot(result.eval(x=np.arange(4000)), '--', label='par perp best fit')\n", + "\n", + "ax.plot(crystal_par_perp_model.eval(params=crystal_par_perp_params, x=np.arange(0, 2000)), ':', label='Initial guess')\n", + "\n", + "ax.set_xlim(xmax=2000)\n", + "ax.legend()\n", + "show_keys = ['x0', 'x1', 'I_perp_amplitude', 'I_par_amplitude', 'sigma']\n", + "\n", + "[\n", + " {k: v.value for k, v in result.init_params.items() if k in show_keys},\n", + " {k: v.value for k, v in result.params.items() if k in show_keys}\n", + "]" + ] + }, + { + "cell_type": "markdown", + "id": "4ae7d390-3651-40f2-9d09-51287b60bc78", + "metadata": {}, + "source": [ + "## fix `sigma`, `x0` and `x1` and find percentages of I_xx, I_xy, ..." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b3bcd284-48b6-4365-82eb-48c13a7dac1f", + "metadata": {}, + "outputs": [], + "source": [ + "spe_types = [\n", + " #'I_tot',\n", + " #'I_par',\n", + " #'I_perp',\n", + " 'I_xx',\n", + " 'I_xy',\n", + " 'I_xz',\n", + " 'I_yy',\n", + " 'I_yz',\n", + " 'I_zz'\n", + "]\n", + "\n", + "lm_model = VoigtModel\n", + "crystal_all_model = np.sum([\n", + " lm_model(prefix=f\"{spe_t}_{li}_\", name=f\"{spe_t}_{li}\")\n", + " for spe_t in spe_types\n", + " for li in range(len(crystal_lines['Frequencies']))\n", + "])\n", + "crystal_all_params = Parameters()\n", + "crystal_all_params.add('sigma', result.values['sigma'], min=0, vary=False)\n", + "crystal_all_params.add('x0', result.values['x0'], vary=False)\n", + "crystal_all_params.add('x1', result.values['x1'], vary=False)\n", + "for spe_t in spe_types:\n", + " crystal_all_params.add(f'{spe_t}_amplitude', 200, min=0)\n", + " crystal_all_params.add(f'{spe_t}_pedestal', 0, min=0, vary=False)\n", + " for i, pos, intens in zip(range(len(crystal_lines['Frequencies'])),\n", + " crystal_lines['Frequencies'].values,\n", + " crystal_lines[spe_t].values\n", + " ):\n", + " prefix = f\"{spe_t}_{i}_\"\n", + " crystal_all_params.add(prefix+'amplitude', expr=f\"({intens}*{spe_t}_amplitude)+{spe_t}_pedestal\")\n", + " crystal_all_params.add(prefix+'center', expr=f\"({pos}*x1)+x0\")\n", + " crystal_all_params.add(prefix+'sigma', expr='sigma')\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "195c2849-3451-4e1a-be4b-3ac4e8685a94", + "metadata": {}, + "outputs": [], + "source": [ + "result = crystal_all_model.fit(exp_spe.y, crystal_all_params, x=exp_spe.x)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "743dcb1d-76cf-4e34-b635-88bac7cbfd01", + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots(1, figsize=(12,5))\n", + "ax.plot(exp_spe.x, exp_spe.y, label='spe nCAL')\n", + "\n", + "ax.plot(result.eval(x=np.arange(4000)), '--', label='CRYSTAL sim')\n", + "ax.set_xlim(xmax=2000)\n", + "ax.legend()\n", + "show_keys = ['I_xx_amplitude', 'I_xy_amplitude', 'I_xz_amplitude', 'I_yy_amplitude', 'I_yz_amplitude', 'I_zz_amplitude']\n", + "ratio = np.array([v.value for k, v in result.params.items() if k in show_keys])\n", + "ratio /= ratio.sum()\n", + "ratio *= 100\n", + "for k, v in zip(show_keys, ratio):\n", + " print(f'{k} {v:5.1f} %')" + ] + }, + { + "cell_type": "markdown", + "id": "2d9638df-0d2b-401e-857b-fe651780423f", + "metadata": {}, + "source": [ + "- vasp simulation with nearly identical output to crystal $I_{total}$\n", + "- explain discrepancies between simulated and experimental spectra\n", + "- not corresponding peaks" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "ramanchada2", + "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": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/publication/spectrum_filters.ipynb b/examples/publication/spectrum_filters.ipynb new file mode 100644 index 00000000..0c61a925 --- /dev/null +++ b/examples/publication/spectrum_filters.ipynb @@ -0,0 +1,92 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Demonstration of spectrum processing" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import ramanchada2 as rc2\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "spe = rc2.spectrum.from_test_spe(sample=['PST'], provider=['FNMT'], OP=['03'], laser_wl=['785'])\n", + "spe.plot(label=\"raw\")\n", + "spe.trim_axes(boundaries=(100,2000),method='x-axis') \\\n", + " .normalize() \\\n", + " .subtract_baseline_rc1_snip() \\\n", + " .plot(label=\"processed\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "ramanchada2", + "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": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples/publication/synthetic-spectrum-generation copy.ipynb b/examples/publication/synthetic-spectrum-generation copy.ipynb new file mode 100644 index 00000000..251c782e --- /dev/null +++ b/examples/publication/synthetic-spectrum-generation copy.ipynb @@ -0,0 +1,561 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "06e5a61f-2bcb-4f7e-ae93-927c85f4e6b7", + "metadata": {}, + "source": [ + "# Generate synthetic spectra using ramanchada2" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "0802b101-9ac3-4462-95b1-eb5b40cd563e", + "metadata": {}, + "outputs": [], + "source": [ + "import ramanchada2 as rc2\n", + "import ipywidgets as ipyw\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "spe_tmp = {'orig': rc2.spectrum.from_delta_lines(deltas={500:1e3, 900:1.5e3})}\n", + "def convolve(lineshape, sigma):\n", + " spe_tmp['convolved'] = spe_tmp['orig'].convolve(lineshape=lineshape, sigma=sigma)\n", + " spe_tmp['convolved'].plot()\n", + "def add_baseline(n_freq, amplitude, pedestal, rng_seed, a1, a2):\n", + " spe_tmp['baseline'] = spe_tmp['convolved'].add_baseline(n_freq=n_freq, amplitude=amplitude, pedestal=pedestal, rng_seed=rng_seed, func=lambda x: x*a1 + x**2*a2)\n", + " spe_tmp['baseline'].plot()\n", + "def add_noise(scale, rng_seed):\n", + " spe_tmp['noise'] = spe_tmp['baseline'].add_poisson_noise(scale=scale, rng_seed=rng_seed)\n", + " spe_tmp['noise'].plot()" + ] + }, + { + "cell_type": "markdown", + "id": "a8362c6e-8650-495c-abbc-5d1c6b050ac1", + "metadata": {}, + "source": [ + "## end-to-end example" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "db41058b-aab7-4238-82a7-247975885bbf", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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AJLVg8AEw+CAiIpLMmnCq9+5jdEinlgDse8KEMwYfREREEknJ+bC9nbhcE+4YfBAREUkkddlFvF1tPYMPgMEHERGRZBcu1wGQEHzoxeCDyy4Agw8iIiJJyqqNWHO4GID3wUdkBGc+bDH4ICIikmBXfmN/Fq9zPvTM+bDF4IOIiEiC+Ci99XJUpLcJp1x2scXgg4iISALbpZYYLxrLWe7TMPPBZRcADD6IiIgkMQuC9fLV3Vt7dR/udrHH4IOIiEgCk9kSfLRvGe11zoe+IfioY/ABgMEHERGRJOLMR4TW+y5x4m4Xo4nBB8Dgg4iISBIxfoiQ0KI2kjMfdhh8EBERSSAuu0iIPaw5Hww+LBh8EBERSSD4sOyi57KLHQYfREREEpgagg+tD8su5TVGRcYUahh8BFh1nQkll2sDPQwiIvKSuOwiKeFUJ858CCiuqFFkXKGEwUeADXl1FQa9vAoXGIAQEYUEX3a76Gxuu+V4iexjCjUMPgKsoqYeAPDj/nMBHgkREXlDTNuQsuzSOtbg8nK4YvARJJ777mCgh0BERF7wZdklQqtBZmocAPsKqeGKwQcREZEEx89fBgBcqqyTdD9xx0u9mcEHg48AqTGa8PTX+wI9DCIikuj1FbkAgBMXKiXdT5wpMZkYfOgCPYBw9ZelB/DNrtOBHgYREalEDD4488GZj4Bh4EFEFF6sMx8MPhh8BILgJtnofAW32xIRNVc668wHq5wy+AgAd1NudSy7S0TUbIkzH9ztwuAjIF7+/pDL648UVag8EiIikqpnWjwA4KnxPSTdzzrzwYRTBh+B8MmWUy6vv2fhDpVHQkREUonlPXq3TZB0P+Z8NGLwQUREJEGN0QQAMOikfYRyt0sjBh9EREQS1NZb8vOkBh86reX2nPlg8BF0LkqsmEdEROpqDD4iJN2Pyy6NGHwEmWe/OxDoIRARkQe14rKLXurMB7faihh8BJmDZ8oCPQQiIvLA12WX2ChLUfHy6nrZxxRqGHwEGSO3YBERBS1BEHxedmkTawDAgpIAg4+gU1XHiJiIKFjZFoOUuuzSJq4h+LjM4IPBh8rMTSQaXaoyqjQSIiKSSpz1AIAoqTMfcZz5EDH4UJnj/u51T1yDVi0iAzQaIiKSotZoCT40GkAfoZF0XwYfjRh8qMx2i1WsQYdOrVtg+1+yAzgiIiLylm2BMY1GWvARrbfMlNTWm2QfV6hh8KGyl35o7OvSwmB5IYp7v4mIKLj5mmwKsMKpLQYfKlu0Ld96ef7tgwI4EiIikkqctZC6zRYA9BGscCpi8BFAAzokurxeYLtlIqKgZJ35kLjTBeDMhy0GHwFku174+0HtrZdts6mJiCh4iAmnviy76Fhe3YrBR5CYM6mv9TKDDyKi4OTPsottbxcxcTVcMfgIEjqtxvpiLmOtDyKioORraXWgsastALy37rhsYwpFDD6ChEajQVpCFABgbW5xgEdDRESuiMFHlN6H3S42dUG2niiRbUyhiMFHEDlZUgUAeP5/BwM8EiIicqXW6Puyi86mrEJT1a6bOwYfREREXqrxo86HbfBhCvNdjQw+AuSmK9oGeghERCSRdebDj622AGc+GHyoTCyv+9jYHgEeCRERSeVPwqlteQXOfPhh7ty50Gg0ePTRR63X1dTUYMaMGWjVqhViY2MxefJkFBUV+TvOZqPebHnh6iQ2JCIiosATg49IH4IPW/UmBh8+2bFjB95//33069fP7vpZs2Zh2bJlWLJkCdavX4+zZ89i0qRJfg+0OagxmmBseMFF+5ApTUREgVVVWw8AaGHQ+XUeQ5h/BvgUfFy+fBlTp07Fhx9+iJYtW1qvLysrw4IFC/DGG29g9OjRGDRoEBYuXIjNmzdj69atsg06VJ1q2M0SH6VDYow+wKMhIiKpKmoswUecj8GHuFzTt128bGMKRT4FHzNmzMDEiRORnW3fCj4nJwdGo9Hu+szMTHTs2BFbtmxxea7a2lqUl5fb/TRXl6rqAABt4gwuWzF/Om2I9TL7uxARBZ/LDTMfsT4GHw+N7gqAyy6Sn73Fixdj165d2LFjh9OxwsJCREZGIjEx0e76lJQUFBYWujzfnDlz8Le//U3qMEJSdZ0lSzom0vXT3q99ovWy0SQgUse8ECKiYFJeY6lAHRvl2+y1mCtSF+ZtNCTNfBQUFOCRRx7B559/jqioKFkGMHv2bJSVlVl/CgoKZDlvMKpu2KLlLt/DNnta7B9ARETB41xZDQAgOc7g0/0jIyzv87UmBh9ey8nJQXFxMQYOHAidTgedTof169fjnXfegU6nQ0pKCurq6lBaWmp3v6KiIqSmpro8p8FgQHx8vN1Pc/Xx5pMAGqftHNkHH+H9wiQiCkZnLlUDADomxfh0/8iG4mSc+ZBgzJgx2L9/P/bs2WP9GTx4MKZOnWq9rNfrsXr1aut9cnNzkZ+fj6ysLNkHH0rWHC7C9ryLAIBD51zntdjmgew/XabKuIiIyHtGk++9XQAuu4gk5XzExcWhT58+dte1aNECrVq1sl4/bdo0PPbYY0hKSkJ8fDweeughZGVlYdiwYfKNOgQt2pZvvdyqRWSTt3/y673Y+dexSg6JiIgkEouD2VYrlYLBh4V/G5VdePPNN6HVajF58mTU1tZi3LhxeO+99+R+mJBjW0n3vakDm7x9ZS1zPoiIgonZLEDciOhz8NGQ81EX5jkffgcf69ats/s9KioK8+bNw7x58/w9dbNiu3U2yYuZjxHdWis5HCIikqje5lukr8GHgTMfANjbRTW2O7o9leX93YB2AIDObVooPCIiIpLCZBN86HwMPto07JI5VVIZ1s3lGHyoZPOxEutlT8FHWoJlC3O4R8VERMHGthmcrzMfXZNjAQDlNfWorHO98zEcMPhQie36nrjm5wqTkYiIgpPJJM+yi7ixscYYvu/zDD4CwNPMh3iMdT6IiIKL2JUcACJctMjwhkajseZ91BjDd2MBgw8VOFYr9RR8GFiAhogoKIk5H1oNoPVx5gNorBESzpWsGXyowHEWg8suREShR8z50Gn9++hsnPkI3/d5Bh8qqHV4gbnqaCsycA84EVFQEjvR+hl7WGc+uOxCirKdWnt4TDePt23M+QjfFyURUTASl138nfk4VVIFAHhh2UG/xxSqGHyoQFx2iY/S4bGx3T3elgVoiIiCk1hkzNedLo4OnHHd5yscMPhQgbjsYvCiEZE487Hj5KWwLkBDRBRszNacD3mCj3DG4EMF4hKKp0RTkc7mNjn5lxQbExERSdOY88Hgw18MPlQgLqEY9E0/3dV1jbkeFypqFRsTERFJc+Gy5T05Pkr2nqxhh8GHCsScD7GGhydVNuV2a5h0SkQUNPIvWhJFO7WSr/eWMUx3NjL4UEFj8NH00z2mZ4r1MpNOiYiCx6XKOgCNzeHksC73vGznCiUMPlQg5nx4E3wkROuR3TO54X4MPoiIgkVptREAkBgT6dd5po3IsF4WhPDcWMDgQwVSdrsAQKzBsp7ImQ8iouBRWmUJPhKi9X6dZ0KfVOtlubbthhoGHyp4b90xAMCJ85e9uj2byxERBR8xDy8m0rsvku7YVlFg8EGKOX6+EgBw+lK1V7dnfxciouBT35AcqveibILH89h2x2XwQcFC3BXDmQ8iouBhbKjzoY/wL2Aw2Ux9hGstSQYfKhqc3tKr2zV2PORWWyKiYGGUaebDdrdMPbfaklJ6t40HAMwc3dWr27dNjAYAnCypVGxMREQkjTgb7W/wkZkab70szqaEGwYfKhBzNyK92GoLAO1aWoKP86xwSkQUFOpNZmzPuwjA/2UXABiakQSARcZIQVIqnAKAoSGqrg/TiJiIKNgcs9mtKEeehvhl1Db5NJww+FCBlCJjAKAXd7uEaURMRBRsbGuByZGPJ3bG5bILKabG6H15daBxPZFbbYmIgsOP+89ZL1fV+R98RGjDe4abwYfCaowmlDWU5PW2H4C4nhiua4FERMHmn2uOWS/3SI31+3zizIeJ5dVJCWdLLYXFovRar0vyRjbMfDD4ICIKDmLbCwAYlJ7k9/nE4mLmMC30weBDYdsasqMzU+Oh0XiXIS0uu1yqMjIAISIKAjde0RYAcOvgDrKcTyvOfDD4ICXknLoEABjRtbXX99Hb5Ia8v/647GMiIiJpxCChQ1K0LOfTMfggJZU35HukJkR5fZ9ImwI2H28+JfuYiIhImvqGIEFMFPWXVsOcD1JQRU09ACBeQgvmFobGeiCxBv+6JxIRkf8am8rJ0whO/I7JmQ9SRHmNZeYjLkrXxC0bxUTq0DXZkk3du12CIuMiIiLvNc58yBV8WD5+t54okeV8oYbBh8LE4CM+yvuZDwCYNiIDAFDL5nJERAEn1uPQ+dnXxdGGoxdQWlUn6zlDAYMPhVmXXSTMfACWrblAY2l2IiIKHHHmQyfTzIfJpqx6YXmNLOcMJQw+FCQIgk85HwAQ1dAHRo4yvkRE5B8xWJAv+Gi8XFkbfu/zDD4UVFFbb00mkpLzAQAGznwQEQUN68yHTAmnZptdLpW19bKcM5Qw+FBQ3vlKAJay6jGREoOPhpmPWiODDyKiQLPmfMi01dZ2l0s49vFi8KGgkspaAEBqvPc1PkRiEzqxIy4REQXOsfOXAci47GIz81EfhtttGXwoaMWBIgBAZZ30KTXrzEcYRsRERMGkvMaI8xWWL5NiGQR/2fZ0MYdhoTEGHwr6cmcBAOBEw/KLFMz5ICIKDvklVQCA1rGR6JYSJ8s5bZddOPNBQSPKmvPBZRciokCqqrO8D0ut1+SJ7WxHOHa2ZfARpMSZjxrOfBARBZTRWlpdvo/MNnEG6+VwLLHO4CNIiQmnJrNg7SlARETqqxODD508yaYA8Gh2d+tlBh8UNMSEU4B5H0REgSRus5Vz5iMlPgpje6UACM/Otgw+gpQ48wEw+CAiCiTrsotMNT5EERrLTAoTTiloaLUaREaw1gcRUaAZFVh2ARo75DLhlGQj2EyjPXhNF5/OIc5+1LDKKRFRwIgVSOVcdgEagw/OfJBsbF9M00d29ukc1h0v3G5LRBQw4vu53MHHyRJLDai5P/0q63lDAYMPhYgJSgCg8/EFa2BnWyKigBOXXSJlDj72nS5rOD9nPkgmRnPjUomvvQCi9Fx2ISIKNHHZRa6OtsTgQzEmm0jW16m6KH3DzAcTTomIAkascBoTGdHELclbDD4UIs58aDSNSUVSicFHLWc+iIgCprLW0hy0RaQuwCNpPhh8KETM+fCn/bK47HLhcq0sYyIiIumW7j4DAIgxyBt8ROsbZ1LCbbstgw+FfL/vLAD/Eok6t7a0bv7rfw/Ybd0lIiL1FFdYvgBuOX5B1vN++adh1st1YdZGg8GHQl798bDf57gyI8l6+b97zvh9PiIi8t3Evmmynq97Spz1MoMPChqp8VHWyxuOyBtxExGRd8TV8+t6p8p6Xtutu8Ywa6PB4EMhtu2SfRUf3bi+WM1aH0REqjOZBYjpGFF6eXe7aLUaa14gZz5IFq1jLcHHh3cO9vkccVF662W5X/RERNQ02yKP0Qq8D0c2tNEw1odXXh+DD4WIW7OSWuibuKV7sTaZ1XoWtyEiUp1t8GHbbVwuYvBRZwqv2W0GHwqoN5mRf7EKANDCj61ZCdGNgYvtLAgREalDXPKO1Gmh9aN0gjulVUYAwJc7CmQ/dzBj8KGAjzeftF6O9XNf+EOjuwKwrDsSEZG6xPYWUQrMetj6cEOeoucPNgw+FLBoe771sr/Bh1gd1RhmyUhERMFAXHaJZml1WTH4UIBtpTp/ll2AxgqpnPkgIlJfbUNvLSb9y4vBhwLEnS7tEqN9bion0jXcPxxbLhMRBVrjsosywcfrv+8HALi6W2tFzh+sGHwooLahWMxLN/X2+1yNMx9cdiEiUlt1nTjzoczHpbicE25L6ww+FCBO0xlkiJTF4KOeyy5ERKqrEd/PFVp2EWfHt564iIKGXZLhgMGHAsSZDzn2hEc0vDDruexCRKQ6cdlFiQJjgH0Np3s+3qHIYwQjBh8y++t/9+NUiSV6jZQh+ODMBxFR4Ii7XZRadrHNCzxWfFmRxwhGkp7N+fPno1+/foiPj0d8fDyysrLw008/WY/X1NRgxowZaNWqFWJjYzF58mQUFRXJPuhg9tnWxm22ci67MOeDiEh9jcGHsssu4UbSX92+fXvMnTsXOTk52LlzJ0aPHo0bb7wRBw8eBADMmjULy5Ytw5IlS7B+/XqcPXsWkyZNUmTgoUCOZRdx9oSN5YiI1FVvMmNd7nkAyu12CdfgQ1IRihtuuMHu91deeQXz58/H1q1b0b59eyxYsACLFi3C6NGjAQALFy5Ez549sXXrVgwbNszlOWtra1FbW2v9vby8XOrfELTkWHZJjIkE0FiCl4iI1PHWqqPYeOwCAOWKjMWEafEynz8dTSYTFi9ejMrKSmRlZSEnJwdGoxHZ2dnW22RmZqJjx47YsmWL2/PMmTMHCQkJ1p8OHTr4OqSgk5YQ5fc5WsZYerqUVTP4ICJS08JNjSXPDQrlfMRFNc4ByPGFNVRI/kv379+P2NhYGAwG3H///Vi6dCl69eqFwsJCREZGIjEx0e72KSkpKCwsdHu+2bNno6yszPpTUBC6zXXMDkmhGo3/TYjE5nIMPoiI1KW1eQ9Xatkl3qaBaGQYLcFIrv3do0cP7NmzB2VlZfj6669x1113Yf369T4PwGAwwGAw+Hz/YFKnQJEYMWm1rp4Jp0REajILjV8oIxToaAsAsZGNH8Mdk2IUeYxgJDnMioyMRNeuXTFo0CDMmTMH/fv3x9tvv43U1FTU1dWhtLTU7vZFRUVITU2Va7xBzbZC3WNju8tyTnEart4ssL8LEZEbRpMZx4orIAjyvU/W2HzpU2r2WavVoFdaPACgc5sWijxGMPJ7jsdsNqO2thaDBg2CXq/H6tWrrcdyc3ORn5+PrKwsfx8mJNjOTsy4tqss57TdMcPZDyIi12Z8vgvZb/yCb3edke2ctl/4lJr5AIDbhlhyHc0yBk7BTtKyy+zZszFhwgR07NgRFRUVWLRoEdatW4cVK1YgISEB06ZNw2OPPYakpCTEx8fjoYceQlZWltudLs2N2PxNp9XI9kKNdAg+2NaZiMjZz4csNaUeX7IX2T1TkBCjb+Ie0sg5o+JI/LwIp0rWkoKP4uJi3HnnnTh37hwSEhLQr18/rFixAmPHjgUAvPnmm9BqtZg8eTJqa2sxbtw4vPfee4oMPBiJPV3k3Let02qg0QCCIJ5f3v9QREShzGgyY8HGPLvrHv1yNxbeM0TWx1Gy71tEQ2IrZz7cWLBggcfjUVFRmDdvHubNm+fXoELRpco6jHp9HQB5t0tpNBoYdFrUGM3WnjFERGTxwS8n8PqKXLvr1jYUBpPTlZ1ayn5OkdZayTp8go/w2dejsJ8PNW4nljsxSdx+xeCDiMieWv1QxvdRbuNEOPbwYvAhk9axym0XjuR2WyIiJ4u352PpbtcJpltPlCDn1CXZHkuOuk3uiDkf4VTJmsGHTLQKZkKLO14KLlUp9hhEwU4QBBwtqrCbmq6qqw/giCjQnvl2v9tjt32wFZPnb8aaw743N02UOWnVHXFWe/+ZMkUTW4MJgw+ZKJmlfKa0GgDwp09zFHsMomC3YGMexr75C575Zh/m/PQrOj3zA3o9twLrj8i/vk/Bz9sP6T9+vBPf5Jz26TGGZbQCAEwbkeHT/b1lu3RUUlmn6GMFCwYfMmHLeyJlfLvrNOb+dBgv//ArAGBJzmm8v/6E9fgji3fjUpi8YZNFXb0Z5dXez3o9vmQvLtdKnyVbftCSy9c1OVbyfaUY2LExmXXwy6t8GmuoYfAhk2V7zwV6CEQhzWwWsDa3GBcdAonHvtqLf60/7vZ+pVVGDHhpJb7bI19xKQpedfVmXPP6Wox5Q1pbj8Evr5T8WGKah0Hhhm/X9Uqx+33e2mOKPl4wYPAhkx/2qxN8ODavIwp1NUYTisprsGh7Pu5ZuAOT3tvk03keWbyH/z/CwLHiyzhbVoMLl2sl3a/GKG12WhAEiCs7V3VpLem+Umm1GvxzygDr76dKKhV9vGAgubEcNe3TafIWt7H17e4z+P2g9oqdn0ht17+zASfON77ZnixpTKyul1jZif8/mr+SSmlBh69sSxu0MChfWXp0ZrLijxFMOPOhgKu7tVHs3NtOlCh2bqJAsA08HEmtbfPEkr3WBG1qnu5YsN3n+0op4lVVZ7JejolU/nt6jE3rjHAos87gw0+5hRV4d81RRR9jgk1xG1OYbMOi8FZbb8LdC7fjHR/+b93/aQ7OlVWjxmhq+sbUbNw+rGOTtzFKmEmrbEj6jNJrFW0qJ7KtI9KvfYLijxdoXHbx0/XvbFC8JO5zN/TCTwcsWddc06bmxN2ySo+/LgcArPOhTPb+M2XImrMGAPDTI1ejZ0O7cgp9JR7yPNISopu8v9FkRpTeuyWU05csM2hKFpB0dNuVHbB4R4FqjxdInPnwkxq1+HXaxn+mMJiNozBySeGKjhPe3qDo+Uldn2/Ld3ssMzWuyfsbJbyBnmxI+lR6m60tsSlpOFSz5sxHCNDZTPkZw+BFSeFh4aY8HCmqCPQwKIS8sfKI22OjM5Pxyu/6oLi8Fm+vdr1cJ2XZJe+CJfhIjFavk7jYlLQuDL5lMviQ2ft3DJL9nLqIxuCjtp7r2BT6Tl6oxN+WHVLlsfYWlKJ/h0RVHouUM+7NXzwe12g0mDo0HYIguA0+Tl+qQkp8lFeP98EvlkJ2B86WSxuoH8Jp5oPLLjL63YB2GNdb/s6H4gsSYGdbCn1ms4CDKr6h3zhvk6RvvBR8LtfWI9dhlmz146Pwfzf3B2DJlRBpNBp888BVLs8zef4WayKpt9TqmgsALRp2vPx7Ux6ueX0tTpxX77HVxuDDD1uO2297VSof2jbTOhwiYmq+yqqM6PznHzFj0S5VH7eaO19Cmqvy+WazgMkD2+H7h0bghd/2tjs2KL0lNjx1LXJfHu90vy8lJnTelZUubbB+6JbSmLdysqQKf1l6QPI5LlbWYfH2fFTUBHeHXAYfEh08W4Zd+ZdQWlWHKR9utTtWq9C3K9ucDzUzr4nkdv9ngWmOeKSQuSWh7LCLf7/kuChoNBr0aZfgcgdLh6QYGHTO17/4/SH8uP9ck5sFklpEAgBuG9L0Fl65tG9pv2OnolZ6AHHvJzvwzLf7MdtDx99gwOBDApNZwMR3NmLSe5vtqjCKpFZj9JZGo8HfGiL7SrYQpxC2JUBF8n7/ry0BeVySx33/2Wn3+z9u7o8EP9rdP/j5Lvzc0DTOndIqy2xLpMJ9XWyJAY/IWC898XRXfikA4Pt95/DdnjNBW6qdwYcEl6oap/6+cLHlS8mqdGLS6YajFxR7DKJgl9G6hdtjN17RVsWRUKDkzbkek2Uoob//TBkAYM3hIuw/XWZ37FRJJcSJkcgI9T4mUx2SYev8/EL7yOI9GPX6Osz6cg8EQUBReQ1e/fHXoKgCzOBDAttum1/udF43NCpY88P2TZc7Xqg5mzSwndtjvds2Fgx7ZEw3u2PP/aaXYmOi4JDUItKuEqg3RnR13RRu0/ESHC4sxx8/3okb3t1od+ztVY27ZZTuaGtLq9XYBSB5FyoheFHVuqklpKW7z2DdkfOY+M4GfPDLCQyfu8bvsfqLwYcEJZedk55sKVmBd1hGK+vlsurgTiQicnSpsg5Ld5/26raeqvjavg/PGtsd/7p9oPV323X/3w1wDmBOXqjE+Qp1mpKRMv44vJPk+/znj0Ow97nrEBdlX1lib0Epnlyyz+V9vt19xnpZzWUXAGgVa7/0cue/t1uXgFx5/Ku9GPLKKmzPu+jx/849C3fgQhOfYWpi8OGFsiojBEGwm/lwlNQiEi/c0NvtcX9ptRokNqxxlilcFZJIbg8v3o1ZX+51eezeERl2v7t7/+zfIdHpG9643ql4/45B2PDUtXbfUAd2TLSbJQGAa/5vHa58ZZUqVYnJP7X1Jsz56Vdsz7uIb3Iag9ZbBnfwcC/XtFoNEmL0Lv/dxaUXWws25tn9rldx2QUAXrzR/nNkw9ELmP6pJVG7rNqIsW+sx6OLd1uPf7PrNEoq63DL+1vQ+c8/ev043syoKIlFxpqw4eh53LFgO2Zc2wXnympc3iapRSS2/3kMdAq/SGMNOpRWGXFZ4j51okDzlKs0tlcKnhqfiRe/P4hruidj6Z4zTrd5+aY+GN8nFat/LcLyg4WIM1jeujQajcvaOhqNBrEG129vhwvL0btt82/cFco+2pCH99efwPvrT9hd70+Dt6Zy8gRBgEajwUvf2xe/a+HmdaSUHqnOvYi2511Ep2d+wMOju+Jo8WUcLb6MtMRoPD0+0+fHqa33vs+NEhh8uFFcXoNWsQY8scTybW3e2uNub5sSH6V44AHYlN5lrQ9qJlLjozC0s2VJ8eWb+gKw9NT4Yd85u9vdPsxSa+H3gzogMSYSVzRRsTRCawlKtuVddDp2qqSKwUeQc1fYy7bPlVSukjdbxuit/YXqzQIuVdkvy7WIVP/D2VOC6ztrjlkvz193HDOv7erz4+RdqAxo00UGHzYEQcCW4yWoNZlxz8IdXt+vbYJ35Xr9VWu0/OeZ+cVu7PhLtiqPSaSk0T2Tna6766pO0Gk1GNwpCV9sz7eb2RCDiqZEaDW4+6pOePF75xLup1xsk6fg4m5pLCJC3sS6aH0ELsESfBhNZrzn8CVTq2Qinxt6CX/jykNFPj/Oje9uwpFXJvh8f3+FffAhCALMAvBNzmlsOn4B3+05K/kcDzlk3StF3B7FpDlqLlx9s9RHaHH3cEseyCu/6+vTeQd2TIRWq8GfRnbG+7/YT93nX2TwEexMbvIRdH4EAxFajVNQY1v51mgSUG+2nx0JRH6QlN08j365x+fH8Xcbr7/COvioqzdj0vxNOHDGvz4TTU0BE4Urk1nAxmPO+R49UuIQY4jAg9f4Pm3syuZnRqO4ohZdky1lqp+ZkOkUfDBnKviZ3ORn+JPzsejeobj1A/uq1JdskvfrTWZERtgHw1V1LGuglLAOPia+swFHVWwaRBROSqvqcMWLK52ufzS7Gx7N7q7IY7ZNjEbbxMYS1a6+Rdawz0vQczfzESGxxoetoZ1b4eTciVh7uBhrDhfj062n7I7XmwWYHR53bK8Unx+PPAvrrbZyBB6jureRYSREzc9HG/JcXh/oZQ8GH8HPXb0KOXIwrs1MxuBOLZ2u33nyErY6lP+fO8m3ZT9/fX1/Ft64pb9sj//WrVfIch45he3Mhz9ref+4uT8uVtYhOd6A0ZnOCXNE5L4Sb3F5YHOWTpZUWrdVUnByN/MhF1f/9q46LbcKUCPPwZ2SMLhTEgDggw0ncOK85/4sj4zphhaGCLz642GnY/+6fSDG90nDF9vz7XZ/OfaRUVvYznx8u8u7aouuTB7UHveN7Iwbr2iHuCjfmxtJlRCt3mPZWnGwEP/4OZffGEmSWIPr16ua5apdKbhYjYzZP2L2t66rW1LgKZ3oGegCW1KITUU9eWh0V0wf2cXlsfF90gAAL93UB89MaKwL0tlDnyQ1hG3w4Wr/f7B7/45B1sueyujK6cf95/CnT3PwzzXH8JnDGimRL5TsgSTFF9ud+zNRcKhlLSOrtIRou9+HZiTZ/T51aEev6kx1T4nD/aMaAxTH/Ba1hW3w8XWObzMfC+4aLPNIvGdbEMZoVuc/54OfN05FFpXXIOfUJTz4eQ7Gv/UL/rdX+rZkCh8CXL+5/aZfmqrjmN3wbW9Y5ySnY5Xc+RKUajnLatU1ORZXd7M0x/vqT1n4+J4h1mO3DG7v83b0jNaxsozPV2GX8yHW9fDVlRnOb2BqsS0+U28SoHLVX8Qa9Jg8f7P194e/2I0b+qVx7ZycFFfUuPz2+t7UgRjvRZEwOU0f2RnXZiajS5tYdHHofVFYXoMubdR9Ez5bWg2dVoPkeHWKE4aiGqP9a+fL6cOcZgD8kemihLmjr/6UJdvj+evTaUNdXu/Yd2bDU9fi6r+vtf7+xi39ne7z9f1Z+GpnAWZP6CnvICUKq+BDEARM/WibxwZxnrx4Y2/Eq5jj4ci2tHBTfQrkkHPqkt3vRhdFaa58ZRW+mzkC7RLle2Og0LbleAmmfLjV5bGR3duoXjVSo9Gge4ql7sfsCZmY81NjUl5RmbrBR1VdPa5qaGd+4tXrA1JBMxTUOCQrX9kpSdbnqkdqHB4b2x1vrDzi8vjxV6/3q6aIWhyDjw5JMVj64FXYnncR917d2eXfYJvMGkhhtexSbTRh8/ESHC6skHS/r+/Pwsm5E3FnVidlBuYl25kPJZZdzGYBhwvLYTIL2J1/yW6WAwDeXXvM6T4XLtfhWx+XsKh5+uAX932QAp1smt4qxu73Cz5+EfFVoU1zyuUHCzHq9bXIORV6+WdKc6zirESQ9rCHytTBHnh0TbYEzL+9oq3TsQEdW+JPo7oE/d8QVsFHvY/rLcGyqqDRaKzlhcurjU3cWrqnv9mH8W9twEvfH8Lv3tvc9B0a6D18oJwtrcacH3+1loan5s/VpNxv+7fFspkjVG9P7sixQ6laTRqPFlXgkcW7cdxmy+SDn+/CqZIqSX2kmrOLlXX4x8+5OFZcoVplUbE69TtTBlive/6GXqo8tj+WzRyBtU9cg4EdneuVhIqwWnbxNrmsQ1I0quvMuHBZjL6DJPoAkJkWhwNnynHoXDk6yzBdXG8y489L92PN4WJcuGz5Fvjx5pOSzjH3p8NYtvcsbh+WjjaxBmw8dgF/mdgT+ggtpn2yE7+eK8fa3GL8PGuU3+Ol4OdqG+PrN/eDQRe49t0ix+DDXS0Sud2+YBuKymtd9o4qr2HSKwA8/7+DWLb3LP65xnmGVSlL7s9CaZURbeIMGN6lFWKjdEHxOm1KdGQEMgK8VdZfYRV8vPzDr17dbtnMETCZBQx6eRUAoG1i8CSGpcZH48CZcpRXy/OGtWzfWXy10/9lk4NnyzH72/3W37skx+KOYen49Zylb86RIudqsgUXq7DvdBkm9Enl2ncz4riFb8qQDkHzhu647FNZW491ucUYkpGEmEhl3g43H7+AogAXVgsFu/MvNX0jmekjtGgTZykkFqiCYuEqbIKP6joTfth3zu3xlbNG4pUff0V2zxQkxlgqv33/0AiUVRtlzbL2V1yU5Z/scq08yy6XKuVfvgGAkxc8V+QDYM3KfvPW/vjdgPaKjIPUd7zY/t8+mOo5OS77iBUhx2QmY8HdVyrymH/4cJsi521uLMn8jcuzj4zphrG9UtCaQUGzFDY5H3luPgx/0y8NeXOuR7eUOHx8zxDcPizdeqxPuwQM79parSF6RUxYc1VG1xcLNrruvyHHebd7KOT22vLG8W89HpoJd+U1RmzPuxhS1RLVUFheY/f7uD7qbq31pFuy66XK1YeLVR6JvU+3nAzo4weDKL39x1HPtDj0aZeA1ITgmXkm+YRN8CFOrTmaObprSNWp0EXIN9aCi1VeJYJqNUD7ltJnf255f4vbY/PXNe6IiJDxb1LT7+dvxi3vb8E3u84EeihB7Zogar6o0WgwKF29JD1vA9NnvzuIvQWlyg4mSB0rvoyPNpxAncNW/qEZrQI0IlJD2AQf7proeFNsJpg8Oa6H9bK/37gLvOwuKu5UmNjXv8qUCzbmOW2hA2DdwRNqxDyWb7jVGIAlefmuf293uj7Ygvt3/zCg6RvJ5HsPS72Obpy3ScGRBK/sN9bj5R9+xYEz5XbXtwxw4zNSVtgEH8G+59lbYrEkAH4nnXrbY+PPE3uiZYtI/HPKALstacM6JyE+yvu0oZe+P4QrX1nldL1t8bRQVG00qbZlM5j9cvQ81h85b3fddb1SAjQa99ISojFGhW7ULy47hIe+2K344zRHv+3vXL+CmpfQftcPQ1H6COssztky/2pnlFZ5LrD06bQhODl3IpLjLGuuWq0GI7s15sC8/vv+PnX1ddzeKOdSktIWbsrDjEW7UG8zRbynoBQ9nv0Jl8O8T0iFiy2jb9+m3iyDFErnEQiCgH9vkp5PxSDWItDF6Eh5Yf0v3DImcKXS/SF+yL296qhf57nkobrj7mfH4upuzmv1kTZvCok+Pn+lVfY7bCK0GizdfRrj3/oFx887b8kNJn9bdgg/7DuH3/xzo931ggD84vCtP1xcrKzDX5bux46TzonDjkmEweLR7O6Knt/XIllPf7NP5pGEpkgGH81eWP4L90yLx6zs7lj64PBAD8Un4rej5QcLUVxR08StXauoMeJilfM2267JsVjx6Ei3660xkTrM+8NAvDd1IOKi9OjbLkHyY9/qkIi6+XgJZn25F4cLKzDhrQ2SzxcIrkr0u+p9Ew7+tuwgPt+Wj8+25jsdC7Z8D1GbOAM2PHWtIudeuvs0bv3AfbK15/ue4e4pAOfKfHtfo9ARVsGHuI741LgeeCS7GzqFaIW4Gdd2sV4eMXeth1s6M5kF/OnTnej7ws94Z7X9zMnhl8Zj1WOj0CM1zs29LSb2S8P1Dcmnr/yuj6THB4CTJfaJrrZZ/nUmM5YfKJR8TjXUNNHm26hCs79glOumV9LaJ65RdyASxUQqU/hs1pd77ZInM23+P3mza0xKkmpz0NbFEtiaAG99JuWFVfDx1q1XYOvsMbhWhWQzJdnu0HHcntaUr3MKsOJgkctjUXrpb8atYg2IbCjc9NJNfbD72bGSz+Ho/s9y/D6H3C7X1iPz2eUeb1MfpjMf7pK53W1vDxZKVDQ1u0jijrUp6f7FfcPQyaa53Qsu+oisOBi44FsQBOScuqRK/tIbP+fiqa/3ItZF0vrT4zMVf3wKrLCpcApYEiabQ8Eaf5pz7TtdJuNILFY/Pgo7Tl7ETVe0k61MutksBFXJ9Rmf72ryNt7uHmputG6WVlooNLMgFyXyUVx9GdBqNNj+lzEwmgS0S4zGg9d2xVNfW3I7gu0V882uM3hiyV70TIvHT49crdjjmM0C3mno4eLqv3l2z9D+gkhNC6uZj+bCn8/kegWWBjokxWDSwPbWYMG2FknOX7N9Oufc5YchCAI+23oKr/74K05f8q4miRIEQXDaQurK0l2nMefHX4N6zf5sabXs43P3egzWfA+R4/jkeF5qXe1W0QDJcVFol2hZcrGta+Pq/2MgXz3f7rLUrBF7MimlymYJ01XMnt4qNJfEyXsMPkKQP29ORrPySwMPjOqC537TC98+eBVaxRrwxi39JZ/jg19OYPxbG/DX/x7AB7+cwIjX1rotka+085e9awq2K78U7/9yImjXqz/acAJXzV2DN1YekfW8rmaoJg8MjV49D17TmD/1rgzdVL3pkmu7vNk20UUOiIrRR73JbBd0OS6hFZfX4M2VR7D61yJrztPpS1X4+WChX8HaZQ+dfN+/YxB3u4QB/guHIH/+07tLitTLWGtDq9XgjyMyMLCjpYz1pIHtceyVCXa3ubpba7x16xUez5NbZJ/IuOnYBdnG6K2zpdWS+9+4quIaDMSuznK3LHdcdtn17Fj83839ZH0MpYyyKf3+DxmCslqjc3B/6+AOdr+P6ZmM/u0TcGdWOia46Huj1q6punozst9Yj1vf32p9T3H8t5z+aQ7eXn0U0z7ZiXsW7sClyjqMeG0tpn+a41diuKfGmC0U6i5MwYX/yiHI1/emvyzdj2V7zzpdf9/VGbjF4Q1SbjqHPJVPpw1FtcRaCCnx6ufrZL+xXnLNhkCmfhwtqsD6I+dxR1a6tY392txi3LNwhyKPJwiCU7G6xGh90C+5iORIihUEAXtPlyGjdQvc8O5Gp+OTBraz+92gi8B3M0e4PV9lnTrF6s6WVuNkSRVOllThow15uPfqDKflxT02O9G2nCjBgJdWWn9/d+0xbD95EQZdBJ4a1wMajfdLbZW17v9PCUGXCUNKYPARgswOMx+CIHj1n/7zbc51GADgLxOdM+7VIHVq1Y88W5/5UixKrTdPQRBQbxbsEpDHvvkLAMu24Jmju6G6zuQy8Hj8q734h5vlsIKLVfhyRwHuuqpTkx/O2W+sx/Hzjcth//njkKBKFG5KK4d27S8uO4TnXOxA8eSH/ecwc5H7MupSA7FNx0rw4/5zGJKRpGg7+XqbKPmVH3912uHSVN7HwbPlOHi28TZf7sjHzNHdMG1ERpOP7Wl2R4m8NAo+XHYJQd1S7NuCT/80B1/ucB1YNCVOQm8WuUnttxMqdTTUmvm4e+EODH11NSpdbIvcnV+KvQWl6PPCCpf3/WbXaSx0U/77lve34N21x/Dol+4/UIvLa/DbdzfaBR4A0MIQ3DtcHCVE63G1TcuAf2/Kw8GzZfjrf/fjpJc5Rks9dDVecn9Wk/f/1+2DcOMVbXHf1Y0f2g9+vguDX16l6BJMiUMu09sOdX8mvO19wb9/rT+OS1VGvPT9oSYf8/nvDiDn1CW3t6kP011j4YbBRwhy7MS78lARnv5mv8f7XHRTSn3eHwbKNq6mvHhjbwDAe1OdH3NoRlKT9w+WCqKtYyNx0xXuG1+ptdtl/ZHzuFhZ57Ks+5HiCjy+ZC9MHt7I/7bsEMb8Yx0OnbX/hitWl9x6wrlcumju8sMut22HYpPAx8bal1qf+M5GfLY1H1M/2ubV/d3NbHx052Bc2anp1/X4Pql4+7YBqHGRL+LYisBfNUYTvt93FmXVRsxUqOndjfM2YcnOApfH/vrfA/hkyynM+emw2/tH+1BviEJP6L1TEADg7duu8Op2ZrOAb3JOY6DNWq3o51kjMbK7c/8WpdyZ1QkH/zbOWh3V1rjeqfjrxJ4e76/2dOyGo6631w7v2hpzJ7tPqHRVaEpJrh6t4GI1jhU33Sfn+PlKXP/OBqw/ch4nHPrqeAqi3H0oOi4JhgLbImC2zpR617jRVW2P6/umIltiR19XM4EVNfIGH68tP4yZi3Zj8vzNiiVG7y0oxZNfu+5R85OHJNUpQzrg5kHtcVWXVoqMi4ILg48QdeMV7Zq+ESy9Ih5fstfp+iX3Z6F7iucy6kpo4eaNXqMB7r26M9Y8PgoAMKyz8zdGtWc+fnZTCTZCq/HYdfOFZYcCWqXSF3f9eztG/2O93XWeYih3U+OhGHx0S4lDqo/JzCsPFbmceerSJtbFrT1z9dyVVcsbfHydY6nj4U1g6q8aownF5TUQBAGCIDT5mNNGZOD1m/uHVM4Q+Y7BRzPnKvAAgm9qMz7K0iG3c5tYnJw7EYunO6+Vq7kWXHK5Fp9uPeXymF6rtZtqj9BqML63/ZbJP30afCXivdHpmR/sfj9S5Lpvi8lNvZhQTRa866pOPt3vYTdLF74sP7l6fZd7qIfhC/H/mRrG/GM9hry6GoNeXoUpH25tsk6Ppx0w1Pxwt0sz8vPBQlybmYzVvxbh13MV+H6f87ZaUUK0em9Cnrx0Ux9sPVGC33rIoRDN/nY/Kmvrce/VnRUdU73J7DGHpnMbS/XFmdd2Rd6FSvxzygBotRpM+WArtpwoUXRsItslkUtVdYrlmRwpqrDOkJnNAj7fdgoD01u6DTI62vQtCSW+7lByt5FF50PdnPG9U7HIYUfa8gPnUFRWg6QWkZKXcUQ1RhNmfbkHg9Jbepyxk5u4bHWxsg5bT1x0udxqq48PHbIpdDH4CGGjM5PtqmlO/zQHWZ1befwAjNBqMCu7GzokBceHxB3D0nHHsHSXxx7N7oa3Vtln4L/8w6+YPLA9WraIVGxM9/5nJ9blOk+lL7pvKNblnsc9wy27Ep6wKSMPAH3bJ9g995cq6xQbp20i6V+WHsBflh5QvJHbuiPFePa7gwCAwekt7Y6NzkzGjGu7Ii2h6a6tzYm7vjY6H5YOru7WGm/fdgU+35aP7XmWZN8vthfgi+2W5M2TcydKPqfZLOC15Yfx04FCj/kWaniu4bXjSs+0eMm73yi0cdklhN2R5fyh7SnwaBEZgeOvXo+Zo7spOSzZPJrdHfteuM7p+gEvrZQ9Ec+Wq8ADAK7q0hp/vr6n2/okjm+eQ+esxsajylRlPXDWuQaD0pVV5/zYuENhp8NWyTdvvQKDHAKSUCJ14qjGaEJ5jRHuPi5ddWptikajwY1XtMNXf8pCkoug1dPOJVeKy2vQ+c8/YuGmk5LHoramqh1T88PgI5RJfMPUh2C/hPgoPb6cPszp+s3H1VnekCLC4VtwXb0Zty/wbrumFDVGE26at0n287oift5tz7uIo24SBtMSooJmGc9XUpcjRry2Fv1e+BmXXVQjHZKR5Hdvm3gXwYs3fWNs3fz+Fu9vO8j78b5/xyDr5S5t5GkA1zFIZmJJPaH3aURWjsXGmhIZiBKhMhja2XnrXYxC7dr92SarVpZ+uZezPh2SGpdA0hIad3PcmZWOdC9zM95edQQXLtdi1pd73N5G6RwcNdw2pCP6tItv+oYNLjQU6HKcMWnfMhpf/SnLrnmcL+JdBHNS2xGcKvHcCdqg0+Lg38Zh6+wxeP3m/hjRtbHYWgsP/79s30f0EVpJz5vbc4bgFyPyD//FQ1j7ljFY+uBVXt8+lP+DPzMh0+53pQKpaqPvGfdqLVlXebErYPLA9pg/tfEb6uf3DrVeHtmtDdY/ea3L+2U5BHrHz1di8MurPNa8uMfHnSLBJNagw/cPXY3f9LNPinSVyOspuXfj06NlGY+rmZiaenm3mj9wTRe0MOiQ2hCY2uYMfXTXlVg8fZhT47t5fxiIgTbLa78f1B792idKfuxXftcHX9w3DB/dORif3zuU+R5hiAmnIW5AR+/X2UN15gMA7h/VBXNtqiIqVWrdXVMv2xLc7jguuyjBaDLjxAXP9RI6JEXj/27uZ9d3wzaHoF1L90mhUgPUD+4Y1KzqMiTG2M841NabnWYxyquVb/x265UdseOkfV6Npzb0vnCc5fvD0I5YuvsMeqbFI6uh0Newzq2s269T4g2Y2BCcrX/yGvx6rgJje6Wg2mhCaVUdxvVORVyUDn/8eKfHx43QajB1qOskcwofkoKPOXPm4Ntvv8Xhw4cRHR2Nq666Cq+99hp69GjM+q+pqcHjjz+OxYsXo7a2FuPGjcN7772HlBTftomRfJrTt4u1ucUY3rWV7N1Tn7KpzNguMRpDMpIwrncqhndtuuqiuw/hM6XVaJfo/y6QgotVGP/WL6hsYvp93RPXQqPR2BVli9JH4I1b+qO4ohY90yzT5O0So51mNDq1ioF9qTFnU4Z0xKmSSozpmYLreju3hA9lidH2iZ45py7h2e8OoGubWFysrMMVHRLx0UbXPXF82eHizuSB7fDzwUL8fKix0N2mYxfQI1W+woCOK4xXdkrCylkj0daL12p6qxZIb2XJ94g16PCezSxbU9QI0in4SQo+1q9fjxkzZuDKK69EfX09/vznP+O6667DoUOH0KKF5YU4a9Ys/PDDD1iyZAkSEhIwc+ZMTJo0CZs2qZMgR+FhwcY8XNWlFcb0lDeotd3psukZaVPo7oK7+euOoV/7RFzfN81tKe+mbDlegikfbm3ydhP6pFrHYVu0yqDTYpJDEuTH91yJZfvO4f5RnbHx6AV8u+sMHruuB/44IgOjXl/n9jEMOi0W3eecBNwcOCbOiv1dTjQ00HPc5WMrWsY8JI1Gg6fG97ALPmrqTV5t3y4sq8G2vKYTsl1VVO3mourxxH5p+GHfOfxpZBcvRt40tbo+U3CT9E64fPlyu98//vhjJCcnIycnByNHjkRZWRkWLFiARYsWYfRoyxv3woUL0bNnT2zduhXDhjXPN6xgcvdVnfDx5pMuj8n5rSkYTPtkJ1bOGunyDdMXji3FpXL3je6zrfkA8vHLkfN418dGft4EHu/+YQCu6ZFs/b2NTTt2VzNE3VLi8NhYy3N3Xe9U6yxGQrQeGo377aehWELdWzF+dOX9+J4rZRwJYNDZj+Xvy3Px9+W52PDUtR7r9Ex8ZwNK3DSStOVtbvVbt16Bh0Z3RQ8f/59d0SERewpKfbovNV9+JQGUlVm6WiYlWfpw5OTkwGg0Ijs723qbzMxMdOzYEVu2uN72VVtbi/Lycrsf8t0Lv+2N7g67YGZld8cdw9Lx4o19AjQq5Tzhpny8L2636WL6wg29JN+/vYdcCgD4ft852Xt12PpNv7Z2MyudWrewFK2ySTb11tu3DXB7rMaPpNxg5+tmp3VPXINB6U13sJXCoHf99uyub1DOqUvo9MwPTQYeKfGWoHSslxVT9RFaZKbGe73EKW7FHZOZjJWzRuI5h/9LzTh2JQl8Dj7MZjMeffRRDB8+HH36WD7UCgsLERkZicTERLvbpqSkoLDQ9X+YOXPmICEhwfrToUMHX4dEDRbc1fgN7LGx3fFIdje8dFMfl4WLQl2Fn7MVtmy/ndnOIHhrXO9UzLy2Kz66c7Db2/T/28+St0x6441b+ru8/sYr2mF416aTZR39tr/7cvdN5ZyEMl/zEVITfGtM54njzIcn3+46jcnzN3t121WPjcKKR0cqVhRuXO9UbH5mND68czC6pcRhYMeWeG1yX+txxh4E+BF8zJgxAwcOHMDixYv9GsDs2bNRVlZm/SkoKPDrfOHo3T8MQLQ+wvqhZzsl2zImtIs/2Vo5a6TTjIS78tZSrcsttvvdXfddT7RaDZ4Y1wPZvVLwzQPut0AXXPJcf0GK/h0Scf+oLk75HHJ46SbXM2VpPnaADQU39E9D+5bRGNm9jaT7+VvXwxV3hc/+tf44istr7K577CvvZwDjovSKL8G2TYy2S8C+9cqONsea7+uHvOdT9tvMmTPx/fff45dffkH79o1veqmpqairq0Npaand7EdRURFSU11nxRsMBhgMyvakaO5+068txvdOhc5mK+07UwZgXW4xbrmy+cwkdUuJQ7eUOOQWXcYX2y0NuOTKm/+3Qwnq1rH+zRIle+izIteYn7iuu6Kl8u8Ylg4IgrWfy/ypA7Eu9zweGhMa5fl9ERelx4anLLuFnv3vAbedjUWLpw9D61hl3r+i9BG47coOWLzD/gvZhct1GPLqaux/4TrERembXAb76M7BeObb/bhwuRZ6HxreyeWbB7Lw5sqjTsswFJ4kzXwIgoCZM2di6dKlWLNmDTIyMuyODxo0CHq9HqtXr7Zel5ubi/z8fGRlObdIJ/noHGp4/LZ/W7xxyxWSpm5DxdShjd+iTDItINvWPMho3cLvLbyeuppKObUgCNh3utTuut8Pao8df8lWpUfPDf3bIi5Kh/G9UzGhbxpe+32/kC+l3hTx375f+6a7rA7r3Apdk6VVGpZi7uR+2PnXbJfH+r7wM2qMJgx5ZZXHc9SbBXw6bQhGdm/jcUZOaYPSk/DZvUOtXZIpvEma+ZgxYwYWLVqE7777DnFxcdY8joSEBERHRyMhIQHTpk3DY489hqSkJMTHx+Ohhx5CVlYWd7qQbGzfvE6cr8Tflh3Ec7/p5VfAsPFYYwM4OabQ5VgOem35YSzddQaFDlPsL/y2t89bdqVKjIlEzl/HBvQbc6AUN9Gor78XwYkcWsca8PDornhnzTGnY899dwDlTRQfS28Vg55p8fjPH4coNUQiySS9g82fPx8AcM0119hdv3DhQtx9990AgDfffBNarRaTJ0+2KzJGJBfHKpwLN53E8C6tke1l9r6jSoekVTk+aD1NyNR7uaVi/rrjLq9XK/AQhXJZfn+M7NYGr6/IdXksLkqHxdPVm801uAmIv9p52um6iX3TUFVXj3uGZ8BoMluLyhEFE0nvYp56GoiioqIwb948zJs3z+dBEUmVf9H3JM6/Lz/c9I0k8lTs8sVlh9wW6bpUWYdvd5/BuN6sCBxofdsnYMWjIxGl1+JI0WVU1dXjkcV7AFiqw8pZVKwpUqqnPj0+Ex29bBxIFCjh+ZWGmp16s+9Ntz7ZYp9UKEcaSXJ8FG5o2K7q+M1z8/ESt91zH168Gy99fwgjXlvr8vhshwZ7pKweqXFIb9UCY3ul4MYr2lmvVzvvJU1Cef74aLbsouDH4INC0iiHrZBqNPuS6p9TBuDk3IlYcJdz3Y8vd7reUr7h6AWX14uaKq1N6vCm/4mcru/jfQ+d5p4QTM0Dgw8KSQ+P6Wr3+6WqpstJB0qLSOdvorO/3e/TuYZmyFtFk6R54YZe6J4Si2dUnoHSRWjtdnl5InezRSIlMPigkDQoPQlPjmvspvz5tnyfzvPDvnNyDcktd7kB7pZePBE7iVJg3D08Az/PGoWUABRam319T7fHxvZKQbvEaPz99/1UHBGR77g4SCFr2ogMu90IB86UoU87adsf/7HSeTdDn3by7g5wt1vkocW78cO+c+jcpgWMJjOeGsd8DnKvhZsgdkinJHxwxyDOeFBI4cwHhawofQT2PDfW+rs3nV8dia3SRfeP6uLxG6acxFmXE+crUXCxGg99sVuVx6XQ5Cq4yJtzPb66P4uBB4UcBh8U0myT6yqaKLbkjWcmZCI+Sv6EvYn90mQ/JxGDDgpVDD4opGk0GkTbFGA6W1rt87kSFWzC9+6UATj2ygScnDtR9WRFaj7WPnEN4qK4Wk6hj8EHhbx/2LSTv2ruGlTV+TYD8oWbwl9y0Gg01v47Jh8STYkAS9+hL+4bhkidFg+P7tr0HYiCFIMPCnmO5cbfWe3cA8MbapWhdizn7smcSX0VHAmFoj7tErD/hevw2HU9mr4xUZDi/B2FvFiHaejd+Ze8ut/gl1cqMZwm2TadS28Vg1MlrkvDiy3TW7WIxNPf7MNbtw1Qa4gU5Jpjt2oKLww+KOTFOcx8bMu7iBqjyWN3WpNZwIXLjYXJNjx1rWLjc3T38E5YcbAQkwa2R6dWMXjg8112x9smRGFo51aIa0h8va53Ksb2SmFyIRE1Gww+KOQ5znwAwI3vbsKKWSPd3qek0r5duprlslvHGrDysVEAXBcaW/fktU61QRh4EFFzwpwPCnmuelnkFlWgrt7sMrmzosaIez/Zaf39yk4tESGha6ictFoNDvxtHJbc39iePVxb2BNR+NAIghw9POVTXl6OhIQElJWVIT5enQRACn3/23sWewtKsWBjntOxp8b3wIPXNO4M+MOHW7H5eIn19+1/GYPkOPXLZTv6bs8ZxEfrcW2P5EAPhYhIMimf3ww+qNkQBAEZs390eezk3Il4bflhGOvN+MgmQPnHzf0xeVB7tYZIRNRsSfn85vwuNRsajcZu+cJWdZ0J89cdtws8AKCFgbsGiIjUxuCDmpUrOyVh+sjOTtfXGE0ub88ti0RE6mPwQc1Oqot25zmnXNf+qK03Kz0cIiJywOCDwsK9/9npdF27xGhc06NNAEZDRBTeGHxQ2Prs3qEeC5EREZEyGHxQs6OLaLpmR4RWg/SkGBVGQ0REjhh8ULMzaWDTW2d/njUS2gAVFiMiCncMPqjZiTXo8PjY7m6PP5rdDV3axKo4IiIissXgg5qlP43q4vL6T6cNwaPZ7gMTIiJSHoMPapYidVrkvjwed1/VyXrdMxMycXU37m4hIgo0Bh/UbBl0EYi3aTo3sGPLAI6GiIhEDD6oWau1qWw6JCMpgCMhIiIRgw9q1nq1ZXNCIqJgowv0AIiUdEO/tqiuM2FgOpdciIiCBYMPata0Wg1uG9Ix0MMgIiIbXHYhIiIiVTH4ICIiIlUx+CAiIiJVMfggIiIiVTH4ICIiIlUx+CAiIiJVMfggIiIiVTH4ICIiIlUx+CAiIiJVMfggIiIiVTH4ICIiIlUx+CAiIiJVMfggIiIiVQVdV1tBEAAA5eXlAR4JEREReUv83BY/xz0JuuCjoqICANChQ4cAj4SIiIikqqioQEJCgsfbaARvQhQVmc1mnD17FnFxcdBoNIEejuLKy8vRoUMHFBQUID4+PtDDCQt8zgODz7v6+JyrL5yfc0EQUFFRgbZt20Kr9ZzVEXQzH1qtFu3btw/0MFQXHx8fdi/UQONzHhh83tXH51x94fqcNzXjIWLCKREREamKwQcRERGpisFHgBkMBjz//PMwGAyBHkrY4HMeGHze1cfnXH18zr0TdAmnRERE1Lxx5oOIiIhUxeCDiIiIVMXgg4iIiFTF4IOIiIhUxeCDiIiIVMXgQwEvvPACNBqN3U9mZqb1eE1NDWbMmIFWrVohNjYWkydPRlFRkd058vPzMXHiRMTExCA5ORlPPvkk6uvr1f5TQkZTz/k111zjdPz++++3Owefc+nOnDmD22+/Ha1atUJ0dDT69u2LnTt3Wo8LgoDnnnsOaWlpiI6ORnZ2No4ePWp3josXL2Lq1KmIj49HYmIipk2bhsuXL6v9p4SUpp73u+++2+n1Pn78eLtz8Hn3XqdOnZyeT41GgxkzZgDge7ovgq68enPRu3dvrFq1yvq7Ttf4VM+aNQs//PADlixZgoSEBMycOROTJk3Cpk2bAAAmkwkTJ05EamoqNm/ejHPnzuHOO++EXq/Hq6++qvrfEio8PecAcN999+HFF1+0/h4TE2O9zOdcukuXLmH48OG49tpr8dNPP6FNmzY4evQoWrZsab3N3//+d7zzzjv45JNPkJGRgWeffRbjxo3DoUOHEBUVBQCYOnUqzp07h5UrV8JoNOKee+7B9OnTsWjRokD9aUHNm+cdAMaPH4+FCxdaf3esO8Hn3Xs7duyAyWSy/n7gwAGMHTsWN998MwC+p/tEINk9//zzQv/+/V0eKy0tFfR6vbBkyRLrdb/++qsAQNiyZYsgCILw448/ClqtVigsLLTeZv78+UJ8fLxQW1ur6NhDlafnXBAEYdSoUcIjjzzi9jifc+mefvppYcSIEW6Pm81mITU1VXj99det15WWlgoGg0H44osvBEEQhEOHDgkAhB07dlhv89NPPwkajUY4c+aMcoMPYU0974IgCHfddZdw4403uj3O590/jzzyiNClSxfBbDbzPd1HXHZRyNGjR9G2bVt07twZU6dORX5+PgAgJycHRqMR2dnZ1ttmZmaiY8eO2LJlCwBgy5Yt6Nu3L1JSUqy3GTduHMrLy3Hw4EF1/5AQ4u45F33++edo3bo1+vTpg9mzZ6Oqqsp6jM+5dP/73/8wePBg3HzzzUhOTsaAAQPw4YcfWo/n5eWhsLDQ7rWekJCAoUOH2r3WExMTMXjwYOttsrOzodVqsW3bNvX+mBDS1PMuWrduHZKTk9GjRw888MADKCkpsR7j8+67uro6fPbZZ/jjH/8IjUbD93QfMfhQwNChQ/Hxxx9j+fLlmD9/PvLy8nD11VejoqIChYWFiIyMRGJiot19UlJSUFhYCAAoLCy0e5GKx8Vj5MzTcw4Af/jDH/DZZ59h7dq1mD17Nj799FPcfvvt1vvzOZfuxIkTmD9/Prp164YVK1bggQcewMMPP4xPPvkEQOPz5up5tX2tJycn2x3X6XRISkri8+5GU887YFly+c9//oPVq1fjtddew/r16zFhwgTr0gGfd9/997//RWlpKe6++24A4Hu6j5jzoYAJEyZYL/fr1w9Dhw5Feno6vvrqK0RHRwdwZM2Xp+d82rRpmD59uvV43759kZaWhjFjxuD48ePo0qVLIIYc8sxmMwYPHmxdsx4wYAAOHDiAf/3rX7jrrrsCPLrmy5vn/bbbbrPevm/fvujXrx+6dOmCdevWYcyYMQEZd3OxYMECTJgwAW3btg30UEIaZz5UkJiYiO7du+PYsWNITU1FXV0dSktL7W5TVFSE1NRUAEBqaqpTprT4u3gb8sz2OXdl6NChAGA9zudcurS0NPTq1cvuup49e1qXu8TnzdXzavtaLy4utjteX1+Pixcv8nl3o6nn3ZXOnTujdevWdq93Pu/SnTp1CqtWrcK9995rvY7v6b5h8KGCy5cv4/jx40hLS8OgQYOg1+uxevVq6/Hc3Fzk5+cjKysLAJCVlYX9+/fbvTmsXLkS8fHxTm865Jrtc+7Knj17AMB6nM+5dMOHD0dubq7ddUeOHEF6ejoAICMjA6mpqXav9fLycmzbts3utV5aWoqcnBzrbdasWQOz2WwNEMleU8+7K6dPn0ZJSYnd653Pu3QLFy5EcnIyJk6caL2O7+k+CnTGa3P0+OOPC+vWrRPy8vKETZs2CdnZ2ULr1q2F4uJiQRAE4f777xc6duworFmzRti5c6eQlZUlZGVlWe9fX18v9OnTR7juuuuEPXv2CMuXLxfatGkjzJ49O1B/UtDz9JwfO3ZMePHFF4WdO3cKeXl5wnfffSd07txZGDlypPX+fM6l2759u6DT6YRXXnlFOHr0qPD5558LMTExwmeffWa9zdy5c4XExEThu+++E/bt2yfceOONQkZGhlBdXW29zfjx44UBAwYI27ZtEzZu3Ch069ZNmDJlSiD+pJDQ1PNeUVEhPPHEE8KWLVuEvLw8YdWqVcLAgQOFbt26CTU1Ndbz8HmXxmQyCR07dhSefvppp2N8T5eOwYcCbr31ViEtLU2IjIwU2rVrJ9x6663CsWPHrMerq6uFBx98UGjZsqUQExMj/O53vxPOnTtnd46TJ08KEyZMEKKjo4XWrVsLjz/+uGA0GtX+U0KGp+c8Pz9fGDlypJCUlCQYDAaha9euwpNPPimUlZXZnYPPuXTLli0T+vTpIxgMBiEzM1P44IMP7I6bzWbh2WefFVJSUgSDwSCMGTNGyM3NtbtNSUmJMGXKFCE2NlaIj48X7rnnHqGiokLNPyPkeHreq6qqhOuuu05o06aNoNfrhfT0dOG+++6z2+YpCHzepVqxYoUAwOn1Kwh8T/eFRhAEIdCzL0RERBQ+mPNBREREqmLwQURERKpi8EFERESqYvBBREREqmLwQURERKpi8EFERESqYvBBREREqmLwQURERKpi8EFERESqYvBBREREqmLwQURERKr6f6lYdkhryVNiAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for sigma in [10, 20, 30]:\n", + " spe = rc2.spectrum.from_delta_lines(deltas={500:1e3, 700:1.5e3})\n", + " spe = spe.convolve(lineshape='voigt', sigma=sigma, gamma=3)\n", + " spe = spe.add_baseline(n_freq=50, amplitude=10, pedestal=10, func=lambda x: x*.006 + x**2*.00001)\n", + " spe = spe.add_poisson_noise(scale=.01)\n", + " spe.plot()" + ] + }, + { + "cell_type": "markdown", + "id": "a8182afd-f8f3-4687-9f34-0dfbed53ad87", + "metadata": {}, + "source": [ + "## documentation of the methods" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "fb27d8b6-a798-4941-8541-d7a18da310c6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Help on function from_delta_lines in module ramanchada2.spectrum.creators.from_delta_lines:\n", + "\n", + "from_delta_lines(deltas: Dict[float, float], xcal: Optional[Callable[[float], float]] = None, nbins: typing.Annotated[int, Gt(gt=0)] = 2000, **kwargs)\n", + " Generate `Spectrum` with delta lines.\n", + " \n", + " Args:\n", + " deltas:\n", + " Keys of the dictionary are the `x` positions of the deltas; values are the amplitudes of the corresponding\n", + " deltas.\n", + " xcal:\n", + " Callable, optional. `x` axis calibration function.\n", + " nbins:\n", + " `int`, optional. Number of bins in the spectrum.\n", + " \n", + " Example:\n", + " \n", + " This will produce spectrum with 1000 bins in the range `[-1000, 2000)`:\n", + " ```py\n", + " xcal = lambda x: x*3 -1000, nbins=1000\n", + " ```\n", + "\n" + ] + } + ], + "source": [ + "help(rc2.spectrum.from_delta_lines)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "da7d0dad-e704-433a-992f-64fc27922c01", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Help on method convolve in module ramanchada2.spectrum.filters.convolve:\n", + "\n", + "convolve(new_spe: ramanchada2.spectrum.spectrum.Spectrum, /, lineshape: Union[Callable[[Union[float, numpy.ndarray[Any, numpy.dtype[+_ScalarType_co]]]], float], numpy.ndarray[Any, numpy.dtype[+_ScalarType_co]], Literal['gaussian', 'lorentzian', 'voigt', 'pvoigt', 'moffat', 'pearson4', 'pearson7']], **kwargs) method of ramanchada2.spectrum.spectrum.Spectrum instance\n", + " Convole spectrum with arbitrary lineshape.\n", + " \n", + " Args:\n", + " old_spe: internal use only\n", + " new_spe: internal use only\n", + " lineshape:callable, `str` or `np.ndarray`.\n", + " If callable: should have a single positional argument `x`, e.g.\n", + " `lambda x: np.exp((x/5)**2)`.\n", + " If predefined peak profile: can be `gaussian`, `lorentzian`, `voigt`,\n", + " `pvoigt`, `moffat` or `pearson4`.\n", + " If `np.ndarray`: lineshape in samples.\n", + " **kwargs:\n", + " Additional kwargs will be passed to lineshape function.\n", + " \n", + " Returns: modified Spectrum\n", + "\n" + ] + } + ], + "source": [ + "help(spe.convolve)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "0d50df60-7bb7-4f50-8aa0-b5d414c877dc", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Help on method add_baseline in module ramanchada2.spectrum.baseline.add_baseline:\n", + "\n", + "add_baseline(new_spe: ramanchada2.spectrum.spectrum.Spectrum, /, n_freq: int, amplitude: float, pedestal: float = 0, func: Optional[Callable] = None, rng_seed=None) method of ramanchada2.spectrum.spectrum.Spectrum instance\n", + " Add artificial baseline to the spectrum.\n", + " A random baseline is generated in frequency domain using uniform random numbers.\n", + " The baseline in frequency domain is tapered with bohman window to reduce the bandwidth\n", + " of the baseline to first `n_freq` frequencies and is transformed to \"time\" domain.\n", + " Additionaly by using `func` parameter the user can define arbitrary function\n", + " to be added as baseline.\n", + " \n", + " Args:\n", + " n_freq:\n", + " Must be `> 2`. Number of lowest frequency bins distinct from zero.\n", + " amplitude:\n", + " Upper boundary for the uniform random generator.\n", + " pedestal:\n", + " Additive constant pedestal to the spectrum.\n", + " func:\n", + " Callable. User-defined function to be added as baseline. Example: `func = lambda x: x*.01 + x**2*.0001`.\n", + " rng_seed:\n", + " `int`, optional. Seed for the random generator.\n", + "\n" + ] + } + ], + "source": [ + "help(spe.add_baseline)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "871b9b3f-f57b-4735-84c0-2e185ee08985", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Help on method add_poisson_noise in module ramanchada2.spectrum.filters.add_poisson_noise:\n", + "\n", + "add_poisson_noise(new_spe: ramanchada2.spectrum.spectrum.Spectrum, /, scale: float = 1, rng_seed=None) method of ramanchada2.spectrum.spectrum.Spectrum instance\n", + " Add poisson noise to the spectrum.\n", + " \n", + " For each particular sample the noise is proportional to $\\sqrt{scale*a_i}$.\n", + " \n", + " Args:\n", + " old_spe: internal use only\n", + " new_spe: internal use only\n", + " scale:\n", + " `float`, optional, default is `1`. Scale the amplitude of the noise.\n", + " rng_seed:\n", + " `int` or rng state, optional. Seed for the random generator.\n", + " If a state is provided, it is updated in-place.\n", + " \n", + " Returns: modified Spectrum\n", + "\n" + ] + } + ], + "source": [ + "help(spe.add_poisson_noise)" + ] + }, + { + "cell_type": "markdown", + "id": "b84a0aa6-4b46-4393-aef8-fad1d03416ed", + "metadata": { + "tags": [] + }, + "source": [ + "## Interactive example" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "d7a2e49b-6570-4b15-a7f6-b2e5737211c6", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "170c3b648c6645f5b1657aa88a186c89", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "interactive(children=(Dropdown(description='lineshape', options=('voigt', 'gaussian', 'lorentzian', 'pvoigt', …" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ipyw.interact(\n", + " convolve,\n", + " lineshape=ipyw.widgets.Dropdown(options=['voigt', 'gaussian', 'lorentzian', 'pvoigt', 'moffat']),\n", + " sigma=ipyw.widgets.FloatSlider(min=1, max=50, value=5),\n", + ")\n", + "None" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "94a17c0c-eb68-4d96-8930-7417e75e0e7c", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e28b08e37eb74c869a4e54f4f46b2ea3", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "interactive(children=(IntSlider(value=50, description='n_freq', max=500, min=3), FloatSlider(value=10.0, descr…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ipyw.interact(\n", + " add_baseline,\n", + " n_freq=ipyw.widgets.IntSlider(min=3, max=500, value=50),\n", + " a1=ipyw.widgets.FloatSlider(min=-.2, max=.2, value=.0, step=.00001),\n", + " a2=ipyw.widgets.FloatSlider(min=-.0002, max=.0002, value=.0, step=.00001, readout_format='.5f'),\n", + " amplitude=ipyw.widgets.FloatSlider(min=0, max=50, value=10),\n", + " pedestal=ipyw.widgets.FloatSlider(min=1, max=50, value=10),\n", + " rng_seed=ipyw.widgets.IntSlider(min=0, max=999999, value=0)\n", + ")\n", + "None" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "347d7a3a-07c4-47ce-ab56-7ae5cb1c17e6", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "2c86bc5a208545e4b56d42f07a6bcadc", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "interactive(children=(FloatSlider(value=0.01, description='scale', max=2.0), IntSlider(value=0, description='r…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ipyw.interact(\n", + " add_noise,\n", + " scale=ipyw.widgets.FloatSlider(min=0, max=2, value=.01),\n", + " rng_seed=ipyw.widgets.IntSlider(min=0, max=999999, value=0)\n", + ")\n", + "None" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "a741ce77-0f3a-43eb-b397-908559d8feae", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import ramanchada2 as rc2\n", + "spe = rc2.spectrum.from_delta_lines(deltas={500:1e3, 700:1.5e3})\n", + "spe = spe.convolve(lineshape='voigt', sigma=5)\n", + "spe = spe.add_baseline(n_freq=50, amplitude=10, pedestal=10)\n", + "spe = spe.add_poisson_noise(scale=.01)\n", + "spe.plot()" + ] + }, + { + "cell_type": "markdown", + "id": "eaeb037c-684c-4c66-b5d1-2de9f488ab4e", + "metadata": {}, + "source": [ + "## convolution usage" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "b6ecbbe4-b084-45a8-933a-b15cf0ef0ba5", + "metadata": {}, + "outputs": [ + { + "ename": "FileNotFoundError", + "evalue": "[Errno 2] No such file or directory: 'D:\\\\tmp\\\\convolve.png'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[11], line 7\u001b[0m\n\u001b[0;32m 5\u001b[0m spe\u001b[38;5;241m.\u001b[39mconvolve(lineshape\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mlambda\u001b[39;00m x, w: np\u001b[38;5;241m.\u001b[39mexp(\u001b[38;5;241m-\u001b[39m(x\u001b[38;5;241m/\u001b[39mw)\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m2\u001b[39m)\u001b[38;5;241m/\u001b[39m\u001b[38;5;241m20\u001b[39m, w\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m20\u001b[39m)\u001b[38;5;241m.\u001b[39mplot(label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124muser-defined exp(-(x/20)**2)/20\u001b[39m\u001b[38;5;124m'\u001b[39m, ax\u001b[38;5;241m=\u001b[39max[\u001b[38;5;241m1\u001b[39m])\n\u001b[0;32m 6\u001b[0m ax[\u001b[38;5;241m2\u001b[39m]\u001b[38;5;241m.\u001b[39mset_xlabel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mRaman shift [$\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mmathrm\u001b[39m\u001b[38;5;132;01m{cm}\u001b[39;00m\u001b[38;5;124m^\u001b[39m\u001b[38;5;124m{\u001b[39m\u001b[38;5;124m-1}$]\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m----> 7\u001b[0m \u001b[43mfig\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msavefig\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m/tmp/convolve.png\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\matplotlib\\figure.py:3395\u001b[0m, in \u001b[0;36mFigure.savefig\u001b[1;34m(self, fname, transparent, **kwargs)\u001b[0m\n\u001b[0;32m 3393\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m ax \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maxes:\n\u001b[0;32m 3394\u001b[0m _recursively_make_axes_transparent(stack, ax)\n\u001b[1;32m-> 3395\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcanvas\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mprint_figure\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\matplotlib\\backend_bases.py:2204\u001b[0m, in \u001b[0;36mFigureCanvasBase.print_figure\u001b[1;34m(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)\u001b[0m\n\u001b[0;32m 2200\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 2201\u001b[0m \u001b[38;5;66;03m# _get_renderer may change the figure dpi (as vector formats\u001b[39;00m\n\u001b[0;32m 2202\u001b[0m \u001b[38;5;66;03m# force the figure dpi to 72), so we need to set it again here.\u001b[39;00m\n\u001b[0;32m 2203\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m cbook\u001b[38;5;241m.\u001b[39m_setattr_cm(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfigure, dpi\u001b[38;5;241m=\u001b[39mdpi):\n\u001b[1;32m-> 2204\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mprint_method\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 2205\u001b[0m \u001b[43m \u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2206\u001b[0m \u001b[43m \u001b[49m\u001b[43mfacecolor\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfacecolor\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2207\u001b[0m \u001b[43m \u001b[49m\u001b[43medgecolor\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43medgecolor\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2208\u001b[0m \u001b[43m \u001b[49m\u001b[43morientation\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43morientation\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2209\u001b[0m \u001b[43m \u001b[49m\u001b[43mbbox_inches_restore\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m_bbox_inches_restore\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2210\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 2211\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 2212\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m bbox_inches \u001b[38;5;129;01mand\u001b[39;00m restore_bbox:\n", + "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\matplotlib\\backend_bases.py:2054\u001b[0m, in \u001b[0;36mFigureCanvasBase._switch_canvas_and_return_print_method..\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 2050\u001b[0m optional_kws \u001b[38;5;241m=\u001b[39m { \u001b[38;5;66;03m# Passed by print_figure for other renderers.\u001b[39;00m\n\u001b[0;32m 2051\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdpi\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfacecolor\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124medgecolor\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124morientation\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m 2052\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbbox_inches_restore\u001b[39m\u001b[38;5;124m\"\u001b[39m}\n\u001b[0;32m 2053\u001b[0m skip \u001b[38;5;241m=\u001b[39m optional_kws \u001b[38;5;241m-\u001b[39m {\u001b[38;5;241m*\u001b[39minspect\u001b[38;5;241m.\u001b[39msignature(meth)\u001b[38;5;241m.\u001b[39mparameters}\n\u001b[1;32m-> 2054\u001b[0m print_method \u001b[38;5;241m=\u001b[39m functools\u001b[38;5;241m.\u001b[39mwraps(meth)(\u001b[38;5;28;01mlambda\u001b[39;00m \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: \u001b[43mmeth\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 2055\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m{\u001b[49m\u001b[43mk\u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mitems\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mk\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mskip\u001b[49m\u001b[43m}\u001b[49m\u001b[43m)\u001b[49m)\n\u001b[0;32m 2056\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m: \u001b[38;5;66;03m# Let third-parties do as they see fit.\u001b[39;00m\n\u001b[0;32m 2057\u001b[0m print_method \u001b[38;5;241m=\u001b[39m meth\n", + "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\matplotlib\\backends\\backend_agg.py:496\u001b[0m, in \u001b[0;36mFigureCanvasAgg.print_png\u001b[1;34m(self, filename_or_obj, metadata, pil_kwargs)\u001b[0m\n\u001b[0;32m 449\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mprint_png\u001b[39m(\u001b[38;5;28mself\u001b[39m, filename_or_obj, \u001b[38;5;241m*\u001b[39m, metadata\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, pil_kwargs\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[0;32m 450\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 451\u001b[0m \u001b[38;5;124;03m Write the figure to a PNG file.\u001b[39;00m\n\u001b[0;32m 452\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 494\u001b[0m \u001b[38;5;124;03m *metadata*, including the default 'Software' key.\u001b[39;00m\n\u001b[0;32m 495\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 496\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_print_pil\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilename_or_obj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mpng\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpil_kwargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmetadata\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\matplotlib\\backends\\backend_agg.py:445\u001b[0m, in \u001b[0;36mFigureCanvasAgg._print_pil\u001b[1;34m(self, filename_or_obj, fmt, pil_kwargs, metadata)\u001b[0m\n\u001b[0;32m 440\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 441\u001b[0m \u001b[38;5;124;03mDraw the canvas, then save it using `.image.imsave` (to which\u001b[39;00m\n\u001b[0;32m 442\u001b[0m \u001b[38;5;124;03m*pil_kwargs* and *metadata* are forwarded).\u001b[39;00m\n\u001b[0;32m 443\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 444\u001b[0m FigureCanvasAgg\u001b[38;5;241m.\u001b[39mdraw(\u001b[38;5;28mself\u001b[39m)\n\u001b[1;32m--> 445\u001b[0m \u001b[43mmpl\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mimage\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mimsave\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 446\u001b[0m \u001b[43m \u001b[49m\u001b[43mfilename_or_obj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbuffer_rgba\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfmt\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43morigin\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mupper\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 447\u001b[0m \u001b[43m \u001b[49m\u001b[43mdpi\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfigure\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdpi\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmetadata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmetadata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpil_kwargs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpil_kwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\matplotlib\\image.py:1676\u001b[0m, in \u001b[0;36mimsave\u001b[1;34m(fname, arr, vmin, vmax, cmap, format, origin, dpi, metadata, pil_kwargs)\u001b[0m\n\u001b[0;32m 1674\u001b[0m pil_kwargs\u001b[38;5;241m.\u001b[39msetdefault(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mformat\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28mformat\u001b[39m)\n\u001b[0;32m 1675\u001b[0m pil_kwargs\u001b[38;5;241m.\u001b[39msetdefault(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdpi\u001b[39m\u001b[38;5;124m\"\u001b[39m, (dpi, dpi))\n\u001b[1;32m-> 1676\u001b[0m \u001b[43mimage\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msave\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mpil_kwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\PIL\\Image.py:2600\u001b[0m, in \u001b[0;36mImage.save\u001b[1;34m(self, fp, format, **params)\u001b[0m\n\u001b[0;32m 2598\u001b[0m fp \u001b[38;5;241m=\u001b[39m builtins\u001b[38;5;241m.\u001b[39mopen(filename, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mr+b\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 2599\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m-> 2600\u001b[0m fp \u001b[38;5;241m=\u001b[39m builtins\u001b[38;5;241m.\u001b[39mopen(filename, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mw+b\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 2601\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 2602\u001b[0m fp \u001b[38;5;241m=\u001b[39m cast(IO[\u001b[38;5;28mbytes\u001b[39m], fp)\n", + "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'D:\\\\tmp\\\\convolve.png'" + ] + }, + { + "data": { + "image/png": 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nn+rII49UdXW1tVf3qaee2uljTz75ZG3atEnbtm1TWVlZoocalRdffFH3339/u/e///77crvdGjVqVA+OqjWXy6X77ruvV8cAAACAvse3T2u5LxCUYRgddnUitaVt8E4Vd955pzZu3Ci3260JEybo3//+d5cX+mpr0ba+4O233+7w/vfff1+jR4+Wy+XqoRG17ac//WmvPj8AAAD6pn2Dt2FIgaAhp4Pgna4I3kls/PjxWr9+fW8Po8fNnTu3z35oAAAAAHj9red0+wJBOR19a4oneg7/5QEAAAAgjsyKt8PeUuFmgbX0RvAGAAAAgDgyQ3aWyyFzWve+7edILwRvAAAAAIgjb1NAkuR22uVubi+n4p3ekjJ497Ed0IB28bcKAACQfsyQ7QkL3v4A7wvTWVIFb3MV64aGhl4eCdA15t9qb6/ADgAAgJ5jBm+30y63k4o3kmxVc4fDoYKCAu3YsUOSlJWVxV546JMMw1BDQ4N27NihgoICORyO3h4SAAAAekh48HZZFW+CdzpLquAtSSUlJZJkhW+gLysoKLD+ZgEAAJAevFaruUNuZzDiGNJT0gVvm82mQYMGaeDAgfL7/b09HKBdLpeLSjcAAEAa8kZUvEMdulS801vSBW+Tw+Eg1AAAAADoc8ytw9wOu9zOUGZhjnd6S6rF1QAAAACgr/M3h2yX0y43FW+I4A0AAAAAcdUUNCveNlY1hySCNwAAAADEla95z26XI2w7MSreaY3gDQAAAABxZLaaOx0t24lR8U5vBG8AAAAAiCNzPrfLYZPbQcUbBG8AAAAAiKumYKjV3O2wy9Xcau6n4p3WCN4AAAAAEEc+q9XcJg8VbyiJ9/EGAAAAgL6opdXcLpfDaD5m9OaQ0MsI3gAAAAAQR+Gt5k3O0PdeWs3TGq3mAAAAABBH4a3m5qrmflrN0xoVbwAAAACIo/BW80Bz4mI7sfRG8AYAAACAOGpqns/tctjV3HVOxTvNRd1qvm3bNp1zzjkqKipSZmamDj30UL3zzjvW/YZh6Prrr9egQYOUmZmpadOmadOmTXEdNAAAAAD0VWbIdjvscjtskqh4p7uogveePXs0depUuVwuvfjii/r444911113qV+/ftY5d9xxh+69914tWbJEb731lrKzszV9+nQ1NjbGffAAAAAA0NeYW4c5HTa5nWwnhihbzW+//XaVlZVp6dKl1rFhw4ZZ3xuGoUWLFuk3v/mNTj31VEnSn/70JxUXF+vpp5/WWWed1eqaXq9XXq/Xul1TUxP1DwEAAAAAfUX4HG8TFe/0FlXF+9lnn9XEiRN1xhlnaODAgRo/frweeeQR6/7NmzeroqJC06ZNs47l5+dr0qRJWrNmTZvXXLhwofLz862vsrKybv4oAAAAAND7zDneboe9peJN8E5rUQXvL7/8Ug8++KCGDx+ul19+WRdffLEuv/xyPfbYY5KkiooKSVJxcXHE44qLi6379jV//nxVV1dbX1u3bu3OzwEAAAAAfUJ4qznbiUGKstU8GAxq4sSJuvXWWyVJ48eP14YNG7RkyRLNnj27WwPweDzyeDzdeiwAAAAA9DXhreYOe6j6zRzv9BZVxXvQoEEaPXp0xLFRo0Zpy5YtkqSSkhJJUmVlZcQ5lZWV1n0AAAAAkMrCtxOzKt5NRm8OCb0squA9depUbdy4MeLYZ599pqFDh0oKLbRWUlKilStXWvfX1NTorbfe0pQpU+IwXAAAAADo26ztxJxhreZBKt7pLKpW8yuvvFJHHXWUbr31Vp155pl6++239fDDD+vhhx+WJNlsNs2dO1c333yzhg8frmHDhum6665TaWmpTjvttESMHwAAAAD6FF9zxdtpt8tmC33PHO/0FlXwPuKII/TUU09p/vz5WrBggYYNG6ZFixZp1qxZ1jlXX3216uvr9bOf/UxVVVU6+uij9dJLLykjIyPugwcAAACAviZijrfRHLxpNU9rUQVvSTrllFN0yimntHu/zWbTggULtGDBgpgGBgAAAADJqCms1TwQtEmi4p3uog7eAAAAAID2+cNaze1mqzlzvNMawRsAAAAA4sgX1moepNUcIngDAAAAQFzRao59EbwBAAAAII78Yft4m63mPoJ3WiN4AwAAAEAcmSHbGRa8mwK0mqczgjcAAAAAxFHLdmI2BW20mkOy9/YAAAAAACBVBIKGmtdTk9thl8sRCt5NQUPBIFXvdEXwBgAAAIA4Ca9sOx12uZwtkYstxdIXwRsAAAAA4iR8ETWXwya3oyVyMc87fTHHGwAAAADiJDxcu+wt+3hLzPNOZwRvAAAAAIgTM1w77DbZ7TbZDMlmkwyDLcXSGa3mAAAAABAnvqaWFc0lyWazydXcbu6n1TxtEbwBAAAAIE6amlcud4XN7TbneTdR8U5bBG8AAAAAiBOz1Tx8UTWng7280x3BGwAAAADixGw1N8O21FL99jXRap6uCN5IiPe27NH8v3+gmkZ/bw8FAAAA6DFmVbutVnMq3umLVc2REP/1wJuSQtsp/O6Mw3p5NAAAAEDPMOd4h7eau2g1T3tUvBF3Rthehf/ZWtV7AwEAAAB6mL+NVnMnq5qnPYI34m5nndf6Pmjw4gIAAID04Wuj1dxFq3naI3gj7vbUt8zrbvAFenEkAAAAQM9qCrS1nRit5umO4I24q97rb/N7AAAAINW1tZ0YFW8QvBF34WG7wRfgBQYAAABpw2w1j5zjbVa8mYaZrgjeiLuafarctY1NvTQSAAAAoGf522g1p+INgjfibt/2ctrNAQAAkC6a2McbbSB4I+5qGiOD9r4VcAAAACBV+a3g3dJqboZwH63maYvgjbjbt7WcVnMAAACkC18brebmHO8mKt5pi+CNuNt3C7FGP1uKAQAAID3Qao62ELwRd3t9kRXuvQRvAAAApAlrOzFn61ZzVjVPXwRvxN2+FW+CNwAAANKF2WrutIetat4cwn1NVLzTFcEbcbdv0KbVHAAAAOnC30aruRnCm4IE73RF8EbcmRXvHI9TkrTXR/AGAABAerDmeIe1mrudtJqnO4I34s4M3v2yXZJoNQcAAED6MMO1K7zV3EGrebojeCPuzMXVCrM9odsEbwAAAKQJXwet5qxqnr4I3og7s+JdlO2WJHn9vMAAAAAgPXTUat5Eq3naIngj7sw53YXNwZs53gAAAEgXHbWaU/FOXwRvxJ3ZWm4Fb1rNAQAAkCbMedxmlVtqaTv3EbzTFsEbcdUUCKopGPqUryCLxdUAAACQXsxwHR68nQ7meKc7gjfiyhu2UmNBZqjizT7eAAAASBdmxTt8cTV3c6s5c7zTF8EbcRUesq2KN3O8AQAAkCb8bVS8aTUHwRtxZVa83Q67stwOSbSaAwAAIH1Yc7wdLauau2g1T3sEb8SVWfH2OO3KdDkijgEAAACpru2Kt7mqOa3m6YrgjbgyK94el0OZbjN488keAAAA0oO3jTneVLwRU/C+7bbbZLPZNHfuXOtYY2Oj5syZo6KiIuXk5GjmzJmqrKyMdZxIEmZ1O8NlV4aLVnMAAACkF6vi3WbwpuKdrrodvNetW6eHHnpIY8eOjTh+5ZVX6rnnntOTTz6pVatWqby8XKeffnrMA0VysCreYa3mLK4GAACAdGEuoOZqY3E1Kt7pq1vBu66uTrNmzdIjjzyifv36Wcerq6v16KOP6u6779Zxxx2nCRMmaOnSpXrzzTe1du3auA0afVdLxdsRUfE2DD7dAwAAQOrzN4Xe90ZWvM053gTvdNWt4D1nzhydfPLJmjZtWsTx9evXy+/3RxwfOXKkhgwZojVr1rR5La/Xq5qamogvJK+IinfzHO/w4wAAAEAq83WwnZif98RpyxntA5544gm9++67WrduXav7Kioq5Ha7VVBQEHG8uLhYFRUVbV5v4cKFuummm6IdBvqoiIp32IvNXl/AqoADAAAAqcrf0eJqQbpA01VUFe+tW7fqiiuu0PLly5WRkRGXAcyfP1/V1dXW19atW+NyXfQOr7+l4u102K22GhZYAwAAQDrwtlHxdjtpNU93UQXv9evXa8eOHTr88MPldDrldDq1atUq3XvvvXI6nSouLpbP51NVVVXE4yorK1VSUtLmNT0ej/Ly8iK+kLy8TS0Vb0nKcDqaj/MiAwAAgNRmGIYVrs0ClCQ57bSap7uoWs2PP/54ffjhhxHHzj//fI0cOVLXXHONysrK5HK5tHLlSs2cOVOStHHjRm3ZskVTpkyJ36jRZzWGVbyl0H7etd4mqwUdAAAASFVNQUPmmsIeR8s0S3OFc7YTS19RBe/c3FwdcsghEceys7NVVFRkHb/wwgs1b948FRYWKi8vT5dddpmmTJmiyZMnx2/U6LP2rXibAZzgDQAAgFQX3krucrZUvK1VzYNBGYYhm83W6rFIbVEvrtaZe+65R3a7XTNnzpTX69X06dP1wAMPxPtp0EeZFW+r1dwVCt60mgMAACDV+cLe84ZvJ2Z+bxhSIGjI6SB4p5uYg/drr70WcTsjI0OLFy/W4sWLY700kpBZ8bZazZvneFPxBgAAQKoztxKz2SSHPbzibY84x+no1q7OSGL8F0dcWXO8qXgDAAAgzZgVb7fDHtFOHr7CuY/3xWmJ4I24MivbZsXbbDmn4g0AAIBUZy6e5t6nou2022QWwClIpSeCN+LKfCHZd3E1c39vAAAAIFVZFW9nZMyy2WzWMSre6Yngjbhqr+Jtzv0GAAAAUlXLHt6tY5a59hHvi9MTwRtxtW/Fu6XVnE/2AAAAkNq87VS8w4/Rap6eCN6IK7PibS6qZrWa88keAAAAUlxLxbv1dmEeWs3TGsEbcWV+gme20lDxBgAAQLpomePtaHUfFe/0RvBGXLVX8WZVcwAAAKQ6s+LtbrPiHQrjVLzTE8EbceXbp+LtsRZX4wUGAAAAqa29Vc3Dj/G+OD0RvBFX+1a8zX+peAMAACDV+Tpc1Zw53umM4I24aty34t38byMvMAAAAEhxHVW8WXQ4vRG8EVfedireXireAAAASHH+gCGJijdaI3gjrqh4AwAAIF35mqvZzPHGvgjeiJumQFCBYOhTPireAAAASDdmxdvdZsWbVc3TGcEbcRNe1Tb3786g4g0AAIA04bO2E2uj4t18zDwH6YXgjbgJr2qbLyweKt4AAABIE96ubCfG++K0RPBG3DSGvdDY7TZJLZVv5rIAAAAg1e270HA4a1VzKt5pieCNuDFfaDxhn/BZreZ8sgcAAIAU12gFb0er+1oq3gTvdETwRtw0Nr+IhL/QWK3mVLwBAACQ4tp6P2yyFlej4p2WCN6Im8YmKt4AAABIX229HzZR8U5vBG/EjbeDinejPyDDMHplXAAAAEBPMItNnjYr3qxqns4I3ogb84UmM+yFxqx4Bw2pKUjwBgAAQOqyWs1Z1Rz7IHgjbhrbWMXRE/Y97eYAAABIZd6m9hdXo+Kd3gjeiJu9baziGD6/pZH5LAAAAEhhHS2uxhzv9EbwRtzsbaPV3GaztexZ2ETFGwAAAKmrrQ5QE6uapzeCN+KmvU/4zOBNxRsAAACpzNxCt8NWc7bZTUsEb8RNW4urSS0vPFS8AQAAkMqsVc3bWFyNLtD0RvBG3Oz1NQdvd9vBm4o3AAAAUlljG2semdxUvNMawRtx09bialLYp3usag4AAIAU1rKdWFut5hSj0hnBG3HT3mISLa3mvMgAAAAgNRmGEbadWOuYlekOHdtLMSotEbwRN22tai61vPCwjzcAAABSlT9gKGiEvve00Wqe6XZKIninK4I34sZaXM29b6s5FW8AAACktsawRdPaqnhnNYdxX1NQATOhI20QvBE35uJq+87xNl94+HQPAAAAqcosQtlsktvRVqt5y3vkBl9Tj40LfQPBG3HT3j7e5m0zmAMAAACpxtv8XtjjtMtms7W6P3Q89D0FqfRD8EbctDfHO6v50z1eYAAAAJCqOtpKTJJsNpvVbk5BKv0QvBE3je0G79BCErTUAAAAIFWZ6xm1tZWYKdN6X0zwTjcEb8TN3na2EzMr3vVeXmAAAACQmtrbWjecuaUYwTv9ELwRN+2111it5rzAAAAAIEW1t95RuCyXs/lc3henG4I34sYM1vtuJ2a11PACAwAAgBRlhmmPs6OKd+h9MhXv9EPwRtyYn/K1u7gac7wBAACQosx9vD0dVbyt4M374nRD8EZcBIKGfIG222uy+GQPAAAAKa6heT2jbHcHi6uxqnnaIngjLsLnqbS3qnk9LzAAAABIUXXeUBU72+Ns95xMttlNWwRvxEX4i8e+81poNQcAAECqq28O3jkdBG86QdNXVMF74cKFOuKII5Sbm6uBAwfqtNNO08aNGyPOaWxs1Jw5c1RUVKScnBzNnDlTlZWVcR00+h6zXSbDZZfdbou4j0UkAAAAkOrqfF0J3qH7aDVPP1EF71WrVmnOnDlau3atXnnlFfn9fp144omqr6+3zrnyyiv13HPP6cknn9SqVatUXl6u008/Pe4DR99S18EnfNm8wAAAACDF1TV23mpuroVEq3n6af+vog0vvfRSxO1ly5Zp4MCBWr9+vY455hhVV1fr0Ucf1YoVK3TcccdJkpYuXapRo0Zp7dq1mjx5cqtrer1eeb1e63ZNTU13fg70svoO5rSYLTX1tJoDAAAgRdFqjo7ENMe7urpaklRYWChJWr9+vfx+v6ZNm2adM3LkSA0ZMkRr1qxp8xoLFy5Ufn6+9VVWVhbLkNBLajt4oTFbzRv9QQWDRo+OCwAAAOgJdeaq5l0I3qx9lH66HbyDwaDmzp2rqVOn6pBDDpEkVVRUyO12q6CgIOLc4uJiVVRUtHmd+fPnq7q62vraunVrd4eEXtSVirdEWw0AAABSU8v74Q62E6PinbaiajUPN2fOHG3YsEGrV6+OaQAej0cejyema6D3ddRak+FsefFp8AU6/BQQAAAASEb1XVhcLZM53mmrWxXvSy+9VM8//7z+9a9/afDgwdbxkpIS+Xw+VVVVRZxfWVmpkpKSmAaKvs1srWnrhcZut4XNZ6GtBgAAAKmno8WGTeZ95rlIH1EFb8MwdOmll+qpp57SP//5Tw0bNizi/gkTJsjlcmnlypXWsY0bN2rLli2aMmVKfEaMPqmzVRxZSAIAAACprKOpl6a8TJckqWavv0fGhL4jqp7fOXPmaMWKFXrmmWeUm5trzdvOz89XZmam8vPzdeGFF2revHkqLCxUXl6eLrvsMk2ZMqXNFc2ROlpaa9qe08J8FgAAAKQysxDVUcU7L6M5eDdS8U43UQXvBx98UJJ07LHHRhxfunSpzjvvPEnSPffcI7vdrpkzZ8rr9Wr69Ol64IEH4jJY9F0trTWuNu839/Kup60GAAAAKSYYNFTv63xV8/wsKt7pKqrgbRidbwWVkZGhxYsXa/Hixd0eFJJPS6t52xVv89O9Wj7dAwAAQIppCFssreOKd+g+b1NQjf6AMlztr4CO1BLTPt6AqaNVzSUpLzN0vKaRT/cAAACQWsz3wnablOFqP2Jlu52y20Lf8744vRC8ERdWq3lGO8E7g7YaAAAApKbwFc1tNlu759ntNuVa74vpBE0nBG/Ehbm4WntzWqwVHPlkDwAAACmmKwurmegETU8Eb8RFZy82LVsn8MkeAAAAUsueBp8kqV+2u9Nz6QRNTwRvxEWdt3kVR3d7reah49W8wAAAACDFWME7q/PgnZ/JlmLpiOCNuOh8cTVazQEAAJCadteH3uNGU/GmIJVeCN6IWaM/oL3NWyiYexPui5YaAAAApKo99aGKd2E774XDWXO8eV+cVgjeiFlVQ+hFw2G3WS3l+2pZRIKWGgAAAKSW3d2Z400naFoheCNmu+tb5rS0t30CFW8AAACkKqvi3ZXg3TwFs7qB98XphOCNmFVZi0m031qTzxxvAAAApKjwQlRn+ud4JEnf1nkTOib0LQRvxKwrrTVmxbvRH5S3KdAj4wIAAAB6gjn1sivBe0BuKHjvrCV4pxOCN2LWsphE+y80uRlOmV3o7OUNAACAVNJSiOp8cbWBBO+0RPBGzPaYn/B18EJjt9usdnNzn0MAAAAg2RmGEdUcb6viXeeVYRgJHRv6DoI3YtbVOS0Dmuez7Kjh0z0AAACkhpq9TWoKhgJ0V1rNi3JC5/gDhtWijtRH8EbMzAp2Z5/wDcwzP91rTPiYAAAAgJ6wvWavpNBCwxkuR6fne5wOFTQvSryTBdbSBsEbMYu24s18FgAAAKSK8qpQ8B6Un9nlx/C+OP0QvBGzPV1cTIIVHAEAAJBqyqtC3ZylBV0P3mYn6I5aOkHTBcEbMatsnrM9ICejw/MI3gAAAEg1ZsW7tKDj98LhzIp3JWsfpQ2CN2LibQpYQbqzF5vwFRwBAACAVLC9OvqK9+B+WZKkLbsbEjIm9D0Eb8SksjoUoj1Oe+eLq+WGgjmrmgMAACBVtMzx7nrFe2hRc/DeRfBOFwRvxGRb8wvNfgWZstlsHZ5rVrx30GoOAACAFFFe3fJ+uKuGFmVLkr7eXZ+QMaHvIXgjJi1zWjp/oSlp/hSweq9ftY3sWQgAAIDk5m0KaNue0PvhssKsLj/OrHhv27NXvqZgQsaGvoXgjZhsr+56a01ehktFze3oX9NWAwAAgCS3+dt6BQ0pL8Opgc3dnV0xMNejDJddQaOlgxSpjeCNmGyLcvsE89M9gjcAAACS3WeVdZKk4cW5nU67DGez2TS0MNRu/tW3tJunA4I3YrKleV7Kfv26Frz379/8ArOLFxgAAAAkt88rayVJBxfnRP3Y4c2P+aSiJq5jQt9E8EZMzE/5Di7O7dL5+xfxyR4AAABSw6YdoffCBw3s2nvhcIfsly9J+mgbwTsdELzRbbvrfdYe3sMHdu1TPrPVnIo3AAAAkt2H26olSSO6WIQKd0hpKHhvKK+O65jQNxG80W2fNbfWlBVmKtvj7NJjhjd/Gvjp9loFg0bCxgYAAAAkUmVNo77Zs1d2mzRuSEHUjx9TmicptPZR9V52/El1BG90mxm8o/mEb3hxjjxOu2q9TdpM1RsAAABJav3XeyRJI0vylNPFIlS4ftluDWneguzd5mshdRG80W0ffBNqixlZktflx7gcduvTvQ++qUrEsAAAAICEW/fVbknShKH9un2NqQcVSZJWf/5tXMaEvovgjW5b++UuSdIRwwqjetzYwQWSpPe3Mp8FAAAAyccwDP3r0x2SpMkHFHX7OlMP6i9JeoPgnfII3uiWb/Y06Js9e+Ww26L+lG988xwYM7gDAAAAyeTzHXX6aleD3A67vjtiQLevM/XA/rLbpE8rarV1d0McR4i+huCNbnnzi1BoPnS//KjntBwzfID1ArOtam8ihgcAAAAkzD8+rJAkHXVQUbfmd5v6Zbs15cBQxfzZ98vjMjb0TQRvdMs/PtwuSTq2G5/w9ct2a/yQUJX8n80tOgAAAEAyCAQN/d+6LZKkHx5WGvP1Th23nyTpb+9+w64/KYzgjajtqfdp9abQPJQZ3XyxOWF0sSTpqXe/idu4AAAAgER75eNKlVc3qiDLpR8cOijm633/kBLlepz6cme9/rWRolSqIngjav+7bouagobGlObpwAE53brG6YfvJ6fdpne3VOmT7TVxHiEAAAAQf8GgoUWvfiZJmjVpiDJcjpivmZvh0tmThkiSfr9yE1XvFEXwRlT2+gJa+sZXkqQLpg7r9nUG5mZo+pgSSdL9//w8HkMDAAAAEurPa7/WpxW1ys1w6mffOTBu1/3pdw5QjsepD76p1hPrtsbtuug7CN6Iyv3/2qSdtV7tV5CpH46LbU7LZccfJJtNeuHD7Xp78+44jRAAAACIvw3bqnXbi59Kkq6ePkL5Wa64XXtArkdzpw2XJC14/iN9WkFHaKoheKPL3vpyl5as+lKSdP2M0XI5YvvzGVmSpzMnlEmSfvHkf7SrzhvzGAEAAIB4+3pXvS58bJ32+gP6zvD+mjVpaNyf44Kpw3TMwQPU6A/qwmXvsL1YiiF4o0ve27JHF/3pHQWChk4bV6oTmxdHi9WvTxmlwf0ytXX3Xp23dJ2qG/xxuS4AAAAQD299uUunP/CmKmu8Gj4wR/effbjsdlvcn8dut2nRj8Zp/6Isbavaq/9e8qbWfUVXaKogeKNDhmHof9/eorMfeUs1jU2aOLSfbj39UNls8Xmxyctw6bELjlRhtlsfbqvWDxev1vtbq+JybQAAAKC7Kmsa9ZunP9RZj6zVrnqfxpTmaflPJyk/M34t5vsqzHbr//5nioYPzFFljVc/emiNrnt6g76lMzTp2QzD6FPL5tXU1Cg/P1/V1dXKy8vr7eGkLX8gqH9+ukP3/XOTNmwLzTH5zvD+WnLOBGV7nHF/vo/La/SzP7+jb/bslc0mnTZuP1149DAdsl9+3J8LAAAAaEsgaGjNF7v09/e+0QsfbJe3KShJOnPiYN0wY0xC3ge3pc7bpOue3qCn3tsmScpw2TVjbKlmThisiUP7yRnjlE/ERzTZNWHBe/Hixfrd736niooKHXbYYbrvvvt05JFHdvo4gnfvMAxDFTWNenvzbq35Ypde/aRS39b5JEnZboeumDZcPz36gIS01ZiqGny66bmPrRcYSRo+MEfTRhfrqAOLNHa/grguYgEAAID09m2dV59V1Orj7TVa++VuvbV5l2obm6z7Jw7tp3knHqyjDuzfK+N784tvdduLn+qDb6qtY/mZLk09qEiHDS7Q2MEFGl2al9AqPNrX68H7//7v/3TuuedqyZIlmjRpkhYtWqQnn3xSGzdu1MCBAzt8LME7/oJBQw3+gOoam/RtnVc7a72qrGlUZY1XFTV79fmOOm3aUaeqfeZXF2W79d8TB+t/jjlQhdnuHhvvB99U6Y+rN+uFD7fLH4j88xxSmKVh/bM1pDBLQ4uyVJyXoaJstwpz3CrMdqswy80ngAAAAGnKMAw1+oOqafSrZq+/+d8mVe31hd77VjeqorpR22sa9c3uBu2q97W6Rn6mSyePHaSZh++nw4f0i9sUy+4yDEPvbtmjFW9t1cpPK1u9Z5ekflkuDSkKvUcemOtR/xyP+ue4NSDXo8Jst3I8ztBXhlOZLkev/0ypoteD96RJk3TEEUfo/vvvlyQFg0GVlZXpsssu07XXXtvhY5MpeH/4TbUafE0KGqH/QQQNKWgYChhG6HYwdNs8bn5vNH8faL4//LHBYPj5oXMDQUP+QFC+pqB8AUO+pqB12x8IyhsIyt8UlC8Qur3XF1Cdt0l1jU2qbWxSna9JXfmvbLdJo0vzNOWAIk09qL+mHtQ/5pXLY1Hd4Ndrn+3Qvz7doXe3VGlLF1d2zHDZle12KsvjCP3rdijb41SGyyG30y63wy6XwyaXw9781fK92xm67bDb5bCFFrmw2Wxy2GyyN9+2N3/v2Oc+m80mh735PJut+dzQ95Jks/6PZJNNNpt1UzZb6LZ5ii3s5FbnWfe3XEfW/aFj1vf73g47T4p8zs505QW6a9fpwjlduFK8/v9Fl8aThD97b/y/00S0TyWiJ8tIwEgTM84EXDMBA+1bE9balwx/S2n9dxT3KybqbzMx/xsyrH+NlmPNt82fo9X9Cv23MB+r8HOtaxiR1973/ubHhF/LPMG6r83nanm+tq6l5vObAqH3xYFg6CvYfCxoGGoKthy3vprfCzftcywQCL0XbmwKyOtv+dfbFFSjPxDx715fQL5AsMu/f5tNGlqYpeHFuZowtJ+mHFCkMaV5fbaQEwgaem/LHr3z9R69v7VKH3xTrW1Ve6O6ht0mZXucyvU4lel2yO0MvUf2OOzyuELvld1OuzzO0L9up11Ou11Oe/N7XbtNzub3xM7m246wYw77Pl/Nx2zN75fN98eh97Qt76Ot983N/x4+pEC5GX27kt+rwdvn8ykrK0t//etfddppp1nHZ8+eraqqKj3zzDMR53u9Xnm9LYsF1NTUqKysLCmC9/fufE2bv63v7WF0mcNuU78sl4rzMpq/PBqQm6ED+mdreHGODhyQowyXo7eH2a499T59UlGjrbsb9PWuBm3Z3aCdtV7tqvdpd71Pexp8SfMGEAAAAIljt0l5mS7lZbiUl+lUXkboPXBJfoZKmv/dryBTBw7IUaa7777/7Yp6b5O27G7Q17vqtXX3Xu2s8+rbWm/o3zqfqhp8oaKct2vFuL7i+cuO7vPrPUUTvOO+OsC3336rQCCg4uLI7aaKi4v16aeftjp/4cKFuummm+I9jB4xuF+mbFJEZTNU9Wz53m5Tc0U09ClPqBLa/K+t7erovrdtNsnjbK7IOuxyOVs+iXI5bK2OeZwO5WWEWknMlpJcj0sZLntSt5X0y3aH5tcc2Pb9gaCh6r1+1Xub1OALqN7XpAZv87++0LGm5k9MfYGg/E2h783b4feZn8YahqxPaMO7FwLByPsMQ6FPac1zgoZ1ntT+p9RS8yfDEZ9AG2GfFrf+9FvWfZGfPBttfNKtfZ6zzcd14RW4S6/RXTipK9eJ13i68v9YulKt6tp1uqCPjccwjIS8HiTiFSYRL1td6SzoxkWT4ZJJ8/tMzDgTcM04DzQh/186TX+XoWvG/ZIJ+9nDO9rMrjTzmE37dsZ13N1mXk+2fc5v63r73hd2f8twbGGPDbt+2PXUxnjNKmhkBTTUVeiw2+Wwt/zrtNtDFVRHZCXVfLy7uRrrcdqV4XLI0/yeN3TMYR3PdDuUn+lStjt92qmzPU6NGpSnUYM6Dn6GYYTeI3ubVNvcHbvXHwh11TaFOgh8gUDL983/epuCCgSDCgQV+W9zB695zOxkCHUttD5mKNQRbKils9cI7/RVS2ewYahPFwS7o2eW5evA/PnzNW/ePOu2WfFOBn++cFJvDwFhHHZbaJ53D85HBwAAAJKBzWZTtsepbI9THa+6hUSIe/Du37+/HA6HKisrI45XVlaqpKSk1fkej0cejyfewwAAAAAAoE+I+6oBbrdbEyZM0MqVK61jwWBQK1eu1JQpU+L9dAAAAAAA9GkJaTWfN2+eZs+erYkTJ+rII4/UokWLVF9fr/PPPz8RTwcAAAAAQJ+VkOD9ox/9SDt37tT111+viooKjRs3Ti+99FKrBdcAAAAAAEh1CdnHOxbJtI83AAAAACA9RZNd++bO8AAAAAAApAiCNwAAAAAACdTr+3jvy+x8r6mp6eWRAAAAAADQNjOzdmX2dp8L3rW1tZKksrKyXh4JAAAAAAAdq62tVX5+fofn9LnF1YLBoMrLy5Wbmyubzdbbw0E31dTUqKysTFu3bmWRPCQl/oaR7PgbRrLjbxipgL/j1GYYhmpra1VaWiq7veNZ3H2u4m232zV48ODeHgbiJC8vjxcZJDX+hpHs+BtGsuNvGKmAv+PU1Vml28TiagAAAAAAJBDBGwAAAACABCJ4IyE8Ho9uuOEGeTye3h4K0C38DSPZ8TeMZMffMFIBf8cw9bnF1QAAAAAASCVUvAEAAAAASCCCNwAAAAAACUTwBgAAAAAggQjeAAAAAAAkEMEbAAAAAIAEIngDAAAAAJBABG8AAAAAABKI4A0AAAAAQAIRvAEAAAAASCCCNwAAAAAACUTwBgAAAAAggQjeAAAAAAAkkLO3B7CvYDCo8vJy5ebmymaz9fZwAAAAAABoxTAM1dbWqrS0VHZ7xzXtPhe8y8vLVVZW1tvDAAAAAACgU1u3btXgwYM7PKfPBe/c3FxJocHn5eX18mgAAAAAAGitpqZGZWVlVobtSJ8L3mZ7eV5eHsEbAAAAANCndWWKNIurAQAAAACQQARvAAAAAAASiOANAAAAAEAC9bk53l0VCATk9/t7exgA+ii3293ptg4AAABAT0i64G0YhioqKlRVVdXbQwHQh9ntdg0bNkxut7u3hwIAAIA0l3TB2wzdAwcOVFZWVpdWkAOQXoLBoMrLy7V9+3YNGTKE1wkAAAD0qqQK3oFAwArdRUVFvT0cAH3YgAEDVF5erqamJrlcrt4eDgAASDPBoKF7/7lJTrtNlxx7kOx2CgHpLKmCtzmnOysrq5dHAqCvM1vMA4EAwRsAAPS4/3tnqxa9ukmSVJKfqf+eMLiXR4TelJQrD9E2CqAzvE4AAIDe9NKGCuv7lz+q6OBMpIOkDN7x0OBr0v7XvqD9r31BDb6m3h4OAAAAgBQRDBp656vd1u11X+2WYRi9OCL0trQN3gAAAACQCNuq9qreF7BuVzX4tbPO24sjQm8jeEPnnXeeTjvttKge88Ybb+jQQw+Vy+XSaaedptdee002my3h27x99dVXstls+s9//pPQ5+mqY445RitWrOj0vEcffVQnnnhiD4yoYx9//LEGDx6s+vr6Hnm+b7/9VgMHDtQ333zTI88HAADQF2zaUStJGlmSqwP6Z0uSPquo680hoZcRvNEt8+bN07hx47R582YtW7ZMRx11lLZv3678/PzeHlqPefbZZ1VZWamzzjqrw/MaGxt13XXX6YYbboj6OVatWqWysjJJ0sKFC3XEEUcoNzdXAwcO1GmnnaaNGze2eq45c+aoqKhIOTk5mjlzpiorK637R48ercmTJ+vuu+9u8/mOPfbYdsey731+v1/XXHONDj30UGVnZ6u0tFTnnnuuysvLrXP69++vc889t92f/fzzz9dvfvMbffXVV7rwwgs1bNgwZWZm6sADD9QNN9wgn88Xcf4HH3yg73znO8rIyFBZWZnuuOOOdscLAADQW77Zs1eSNKQwS0OLQgtDb6tq6M0hoZcRvFNUIBBQMBhM2PW/+OILHXfccRo8eLAKCgrkdrtVUlKSVgta3XvvvTr//PNlt3f8P6O//vWvysvL09SpU6N+jmeeeUYzZsyQFArhc+bM0dq1a/XKK6/I7/frxBNPjKheX3nllXruuef05JNPatWqVSovL9fpp58ecc3zzz9fDz74oJqaQmsbPP/883r33XcjznniiSf02WefdXhfQ0OD3n33XV133XV699139fe//10bN27UD3/4w1bPt3z5cu3evTvieCAQ0PPPP68f/vCH+vTTTxUMBvXQQw/po48+0j333KMlS5boV7/6lXV+TU2NTjzxRA0dOlTr16/X7373O9144416+OGHo/69AgAAJNL26kZJUmlBpkryMyOOIT0lffA2DEMNvqYOv76ta2z1tStsjsWuOm+b53R23WgWSNh///21aNGiiGPjxo3TjTfeaP0cN954o4YMGSKPx6PS0lJdfvnl1rler1dXXXWV9ttvP2VnZ2vSpEl67bXXrPuXLVumgoICPfvssxo9erQ8Ho+2bNnSahyBQEDz5s1TQUGBioqKdPXVV7f6OYLBoBYuXGhVHw877DD99a9/ldTS6r1r1y5dcMEFstlsWrZsWatWc3M8L7/8skaNGqWcnByddNJJ2r59e8Rz/eEPf9CoUaOUkZGhkSNH6oEHHoi4/+2339b48eOVkZGhiRMn6r333uv0d93R76qxsVFjxozRz372M+v8L774Qrm5ufrjH/8YMfann35aw4cPV0ZGhqZPn66tW7daj9m5c6f++c9/WqG4I0888UTEeV0Zg+nZZ5+1guxLL72k8847T2PGjNFhhx2mZcuWacuWLVq/fr0kqbq6Wo8++qjuvvtuHXfccZowYYKWLl2qN998U2vXrrWuecIJJ2j37t1atWqVJOmAAw7Q/PnzdcMNN6iqqkpnnnmm/vWvf6l///4d3pefn69XXnlFZ555pkaMGKHJkyfr/vvv1/r16yP+9saMGaPS0lI99dRTET/bm2++KZfLpSOOOEInnXSSli5dqhNPPFEHHHCAfvjDH+qqq67S3//+d+v85cuXy+fz6Y9//KPGjBmjs846S5dffnm71XsAAIDeUtEcskvyMzQoPyPiGNJTUu3j3Za9/oBGX/9yTNf4zh2vdetxHy+Yrix3fH6Ff/vb33TPPffoiSee0JgxY1RRUaH333/fuv/SSy/Vxx9/rCeeeMIKMSeddJI+/PBDDR8+XJLU0NCg22+/XX/4wx9UVFSkgQMHtnqeu+66S8uWLdMf//hHjRo1SnfddZeeeuopHXfccdY5Cxcu1OOPP64lS5Zo+PDhev3113XOOedowIABOvroo7V9+3aNGDFCCxYs0I9+9CPl5+frrbfeavVcDQ0NuvPOO/XnP/9Zdrtd55xzjq666iotX75cUihIXX/99br//vs1fvx4vffee7rooouUnZ2t2bNnq66uTqeccopOOOEEPf7449q8ebOuuOKKTn+Xnf2uli9frkmTJunkk0/WKaeconPOOUcnnHCCLrjggoix33LLLfrTn/4kt9utSy65RGeddZbeeOMNSdLq1auVlZWlUaNGdTqe1atX6yc/+Yl1OyMjo0tj+Oijj7Rjx46I/zbhqqurJUmFhYWSpPXr18vv92vatGnWOSNHjtSQIUO0Zs0aTZ48WVJof+tx48bp3//+t44//niNHj1aL7/8ss4++2y9//77uuSSS6wPBQoLC9u9r70x2Ww2FRQURBw/8sgj9e9//1sXXnihdezZZ5/VjBkz2u2SqK6utn42SVqzZo2OOeYYa39uSZo+fbpuv/127dmzR/369Wt3XAAAAD1pe3Wo1XxQfoa8TcHmYwTvdJb0wTtVbNmyRSUlJZo2bZpcLpeGDBmiI4880rpv6dKl2rJli0pLSyVJV111lV566SUtXbpUt956q6TQnNsHHnhAhx12WLvPs2jRIs2fP99qP16yZIlefrnlgwuv16tbb71Vr776qqZMmSIpVBFdvXq1HnroIX33u9+1Wsrz8/NVUlLS7nP5/X4tWbJEBx54oKRQIF6wYIF1/w033KC77rrLGsuwYcP08ccf66GHHtLs2bO1YsUKBYNBPfroo8rIyNCYMWP0zTff6OKLL+7w99jZ72rcuHG6+eab9dOf/lRnnXWWvv76az3//POtxn7//fdr0qRJkqTHHntMo0aN0ttvv60jjzxSX3/9tYqLizttM6+qqlJ1dbU1FlNXxvDMM89o+vTpEUHTFAwGNXfuXE2dOlWHHHKIJKmiokJut7tV6C0uLlZFReTekaWlpfr6668lSRs3btTcuXN1xBFH6LDDDtOrr76q//znP7rlllu0Y8eOdu/bN+g2Njbqmmuu0Y9//GPl5eW1er59uxWeeeYZ3XPPPW3+3j7//HPdd999uvPOO61jFRUVGjZsWKufzbyP4A0AAPoKq+KdlyFfIBhxDOkp6YN3psuhjxdM7/Cctvbp3usLWJXuf199rDLdjlbndFbNznS1fkx3nXHGGVq0aJEOOOAAnXTSSfrBD36gGTNmyOl06sMPP1QgENDBBx8c8Riv16uioiLrttvt1tixYyWFAujo0aOt+371q19pzpw52r59uxUmJcnpdGrixIlWu/nnn3+uhoYGnXDCCRHP5fP5NH78+Kh+pqysLCt0S9KgQYO0Y8cOSVJ9fb2++OILXXjhhbrooousc5qamqwF2j755BONHTtWGRkZ1v3mhwHt6erv6he/+IWefvpp3X///XrxxRcj7pNCv5cjjjjCuj1y5EgVFBTok08+0ZFHHqm9e/dGjEuSfv7zn+vxxx+3btfV1Wnv3tCnnfue25UxPPPMM7r00kvb/DnnzJmjDRs2aPXq1R39OtqVmZmphobQAh+fffaZbrnlFh1++OF6/fXX9Ze//EX/+7//q507d3Z4X3jQ9fv9OvPMM2UYhh588MEOn08K/bctLy/X8ccf3+rcbdu26aSTTtIZZ5wR8bcBAACQDAzDsKrbg/Iz5QuEthUzq+BIT0kfvG02W6cBua37w8N4UY4nbi3j7bHb7a3mUvv9fuv7srIybdy4Ua+++qpeeeUVXXLJJfrd736nVatWqa6uTg6HQ+vXr5fDERn2c3JyrO8zMzOttt3S0tKILbfCW3Y7UlcX2ubghRde0H777Rdxn8fj6dI1TC6XK+K2zWazfgfm8zzyyCMRHwRIavUzRqOrv6sdO3bos88+k8Ph0KZNm3TSSSdF9Tz9+/fXnj17Io4tWLBAV111VcSxoqIi2Wy2Vud2Nobt27frvffe08knn9zqcZdeeqmef/55vf766xo8eLB1vKSkRD6fT1VVVRFV78rKyladCbt377Y+FGlrnvqPf/xjSWr1AUb4fSYzdH/99df65z//2arabT7fgAEDrNvPPvusTjjhhFYfSJSXl+t73/uejjrqqFaLppWUlESs0G7+bOZ9AAAAfUFVg99qLx+Y51FTMPT+t6axSfXeJmV7kj6CoRuSfnG1ZDFgwICIhcVqamq0efPmiHMyMzM1Y8YM3XvvvXrttde0Zs0affjhhxo/frwCgYB27Nihgw46KOKrvcDhdDojzissLFR+fr4GDRoUMR+7qanJWpxLUsTCbPs+l7mtVTwUFxertLRUX375ZavnMduJR40apQ8++ECNjS1tOeGLhLWlq7+rCy64QIceeqgee+wxXXPNNfrkk08irtPU1KR33nnHur1x40ZVVVVZc7rHjx+vioqKiEA9cODAiOeTQl0Io0eP1scff9xqrB2N4bnnntNRRx0V8YGJYRi69NJL9dRTT+mf//xnq7brCRMmyOVyaeXKlRHj3rJlS6tOgQ0bNrTZwRC+YF9X7jND96ZNm/Tqq6+2qtq393zPPPOMTj311Ihztm3bpmOPPdZaFG7fNv4pU6bo9ddfj/jA6pVXXtGIESNoMwcAAH2GWe0uzHYrw+VQjsepnOawXVFDu3m64uOWHnLcccdp2bJlmjFjhgoKCnT99ddHVGSXLVumQCCgSZMmKSsrS48//rgyMzM1dOhQFRUVadasWTr33HN11113afz48dq5c6dWrlypsWPHtlkVbc8VV1yh2267TcOHD9fIkSN19913WyuRS1Jubq6uuuoqXXnllQoGgzr66KNVXV2tN954Q3l5eZo9e3bcfic33XSTLr/8cuXn5+ukk06S1+vVO++8oz179mjevHk6++yz9etf/1oXXXSR5s+fr6+++ipizm9bDj744E5/V4sXL9aaNWv0wQcfqKysTC+88IJmzZqltWvXWvOpXS6XLrvsMt17771yOp269NJLNXnyZGve/fjx49W/f3+98cYbOuWUUzoc0/Tp07V69WrNnTvXOtbZGMJXMzfNmTNHK1as0DPPPKPc3Fxr3nZ+fr4yMzOVn5+vCy+8UPPmzVNhYaHy8vJ02WWXacqUKdbCalJoZfpt27ZFLMLWHX6/X//93/+td999V88//7wCgYA1psLCQut32dDQoPXr11trEezYsUPvvPOOnn32WetaZugeOnSo7rzzTu3cudO6z/zA5Oyzz9ZNN92kCy+8UNdcc402bNig3//+9+3OEwcAAOgNu+t9kqT+OS3r9PTPcavO26Td9T4dOKC9RyKlGX1MdXW1Icmorq5udd/evXuNjz/+2Ni7d2/Mz1Pv9RtDr3neGHrN80a91x/z9TpTXV1t/OhHPzLy8vKMsrIyY9myZcZhhx1m3HDDDYZhGMZTTz1lTJo0ycjLyzOys7ONyZMnG6+++qr1eJ/PZ1x//fXG/vvvb7hcLmPQoEHGf/3XfxkffPCBYRiGsXTpUiM/P7/Tcfj9fuOKK64w8vLyjIKCAmPevHnGueeea5x66qnWOcFg0Fi0aJExYsQIw+VyGQMGDDCmT59urFq1yjonPz/fWLp0qXX7X//6lyHJ2LNnT7vjeeqpp4x9/+SWL19ujBs3znC73Ua/fv2MY445xvj73/9u3b9mzRrjsMMOM9xutzFu3Djjb3/7myHJeO+999r9GTv6XX3yySdGZmamsWLFCuv8PXv2GGVlZcbVV18dMfa//e1vxgEHHGB4PB5j2rRpxtdffx3xPFdffbVx1llndfTrNgzDMD766CMjMzPTqKqqMgzD6HQMdXV1RkZGhrFp06aI60hq8yv8v8PevXuNSy65xOjXr5+RlZVl/Nd//Zexffv2iOvceuutxvTp0zsdd2c2b97c7pj+9a9/WeetWLHCGDFihHX7D3/4gzF16tSIay1durTda4V7//33jaOPPtrweDzGfvvtZ9x2223tji+erxcAAABd9ex/thlDr3neOGPJm9axU+9fbQy95nnj5Q3bO3gkkk1H2XVfNsOIYjPqHlBTU6P8/HxVV1e3miva2NiozZs3a9iwYW0uVhWNBl+TtQ1ZPLcFQ/JbtmyZ5s6dG9EJ0JaKigqNGTNG7777roYOHdrhuWeccYYOP/xwzZ8/v9Pn//vf/67f/OY3bbanx8rn82n48OFasWKFpk6dGvfrt2Xy5Mm6/PLLdfbZZ0uSfvjDH+roo4/W1VdfndDnjefrBQAAQFf9ac1Xuv6Zj3TSmBIt+ckESdIFy9bpn5/u0O0zD9WPjhjSyyNEvHSUXfeVtnO8s9xOfXXbyfrqtpMJ3eiWkpISPfroo9qyZUun5/7ud7+LWNytIzk5Obr99ttjHV6btmzZol/96lc9Frq//fZbnX766RELsh199NGtFmgDAABIFXvqQ+vR9MtuWWi4ICv0/Z4Gf5uPQeojcQIxOO2007p03v7776/LLrusS+eeeOKJMYyoY+ELv/WE/v37t6psJ7rSDQAA0Jv2NITmePfLapnjXdj8/Z7m+d9IP2lb8Qbac95553XaZg4AAAC0xVxcLTx498t2R9yH9JOUwbuPTUsH0AfxOgEAAHqDVfHODgveZsWbVvO0lVTB2+UKzY1oaGjo5ZEA6Ot8vtD/0wvftg8AACDRzOBdGDbH2/zevA/pJ6nmeDscDhUUFGjHjh2SpKysLNlstl4eFYC+JhgMaufOncrKypLTmVQvcwAAIMmZi6sVhLWaF1gVb4J3ukq6d6QlJSWSZIVvAGiL3W7XkCFD+HAOAAD0KKviHb64WjaLq6W7pAveNptNgwYN0sCBA+X3M0cCQNvcbrfs9qSaTQMAAJKctymgBl9AUuTiauZ2YlV7/QoEDTnsFAbSTdIFb5PD4WDuJgAAAIA+o2Zvk/V9bkZL1MrPDAVvw5DqvE3WbaQPykEAAAAAEAd13lDwznY7ZA+ranucDnmcoehVs5eu3XRE8AYAAACAOKhvDt45Ga0bi3MzQlXu2samVvch9RG8AQAAACAOrIq3p3XwzmsO47WNVLzTEcEbAAAAAOKgrrmandNG8M61gjcV73RE8AYAAACAOKj3dRS8m1vNvVS80xHBGwAAAADioKNWc7PiHb7yOdIHwRsAAAAA4sBsNc9tc463ubgaFe90RPAGAAAAgDio70LFmzne6YngDQAAAABxUNth8A5VvGsI3mmJ4A0AAAAAcWBWvHPb3Meb7cTSGcEbAAAAAOKg3huQJGW7Ha3usxZXo+KdlgjeAAAAABAHXWk1p+KdngjeAAAAABAHHbWa52WyuFo6izp4b9u2Teecc46KioqUmZmpQw89VO+88451v2EYuv766zVo0CBlZmZq2rRp2rRpU1wHDQAAAAB9jbmdWFsVb7YTS29RBe89e/Zo6tSpcrlcevHFF/Xxxx/rrrvuUr9+/axz7rjjDt17771asmSJ3nrrLWVnZ2v69OlqbGyM++ABAAAAoK+oa65457CdGPbR+i+iA7fffrvKysq0dOlS69iwYcOs7w3D0KJFi/Sb3/xGp556qiTpT3/6k4qLi/X000/rrLPOanVNr9crr9dr3a6pqYn6hwAAAACA3lbv6yh4hyreDb6A/IGgXA5m/aaTqP5rP/vss5o4caLOOOMMDRw4UOPHj9cjjzxi3b9582ZVVFRo2rRp1rH8/HxNmjRJa9asafOaCxcuVH5+vvVVVlbWzR8FAAAAAHqHYRgdtpqHz/uuo+qddqIK3l9++aUefPBBDR8+XC+//LIuvvhiXX755XrsscckSRUVFZKk4uLiiMcVFxdb9+1r/vz5qq6utr62bt3anZ8DAAAAAHqNtymopqAhScppY3E1l8OuTFdomzHazdNPVK3mwWBQEydO1K233ipJGj9+vDZs2KAlS5Zo9uzZ3RqAx+ORx+Pp1mMBAAAAoC8w53dLUra77ZiVm+HUXn9ANSywlnaiqngPGjRIo0ePjjg2atQobdmyRZJUUlIiSaqsrIw4p7Ky0roPAAAAAFKNuZVYltshh93W5jkssJa+ogreU6dO1caNGyOOffbZZxo6dKik0EJrJSUlWrlypXV/TU2N3nrrLU2ZMiUOwwUAAACAvseseLc1v9tkLrBGxTv9RNVqfuWVV+qoo47SrbfeqjPPPFNvv/22Hn74YT388MOSJJvNprlz5+rmm2/W8OHDNWzYMF133XUqLS3VaaedlojxAwAAAECvMxdMa2tFc5N5X72Xine6iSp4H3HEEXrqqac0f/58LViwQMOGDdOiRYs0a9Ys65yrr75a9fX1+tnPfqaqqiodffTReumll5SRkRH3wQMAAABAX9DRVmKmbI+j+dxAj4wJfUdUwVuSTjnlFJ1yyint3m+z2bRgwQItWLAgpoEBAAAAQLKo84bCtBmu25JNxTttsWs7AAAAAMSopdXc1e45tJqnL4I3AAAAAMTIDNM5Xah41xG80w7BGwAAAABiVNuFVc2z3aFQ3uBljne6IXgDAAAAQIysindGR4urNVe8fVS80w3BGwAAAABiZAVvd+fBmzne6YfgDQAAAAAx6kqrOYurpS+CNwAAAADEKKpWc+Z4px2CNwAAAADEqGU7sS4srsYc77RD8AYAAACAGNV5uxC8aTVPWwRvAAAAAIhRva/rc7zZxzv9ELwBAAAAIEZdajVvvq/RH1RTINgj40LfQPAGAAAAgBjVNy+Y1vHiao6W830ssJZOCN4AAAAAEANvU0C+5gp2R/t4e5wOuRw2SSywlm4I3gAAAAAQg/qw7cHCq9ptyXKzwFo6IngDAAAAQAzMEJ3hssvp6Dhi5bCXd1oieAMAAABADGq7sLCayayIU/FOLwRvAAAAAIiBuZVY14I3W4qlI4I3AAAAAMTADNEd7eFtMsM5i6ulF4I3EmJnrVcvbaiQr4n9CQEAAJDaurKHtynLHWo1Z453eun8LwOIUm2jXzPuW62KmkadPHaQFp99eG8PCQAAAEgYc752NK3mzPFOL1S8EXdPvbdNFTWNkqQXPtiur3fV9/KIAAAAgMTpTqs5wTu9ELwRd//6dEfE7dc27uylkQAAAACJZwbvnAwWV0PbCN6Iq2DQ0Lqv9kiSfnBoiSTp7c27e3NIAAAAQEJF02puLa7GHO+0QvBGXJVX71Wdt0kuh00zDx8sSfqssraXRwUAAAAkTl00c7zNxdVY1TytELwRV5t21EmShvXP1qhBeZKkzd/Wyx9gdXMAAACkJnOF8q7M8c5ijndaIngjrj6vDAXv4QNzNSg/Q9luh5qCBgusAQAAIGXVNfolSTkeR6fnsrhaeiJ4I6427Qi1lR80MEc2m00HFeeGjjcHcgAAACDV1DdXvHM8rk7PbdlOjDne6YTgjbj6vLnVfHhxjiTpoAGhfz8jeAMAACBFtWwn1pWKd+iceuZ4pxWCN+Jq6569kqT9i7Kb/82SJH2zp6HXxgQAAAAkUlSLq9FqnpYI3ogbb1NAO2u9kqTSgsyIf8ur9/bauAAAAIBEqo9mH283+3inI4I34qayOhS6PU67+mWF5rcMKsiQJG2vauy1cQEAAACJZLWau7te8W70B9XEzj9pg+CNuNlWFapqlxZkymazSZL2C6t4G4bRa2MDAAAAEsEfCMrbFArQuV2peIfNA2/ws8BauiB4I262V5vBO8M6VpIf+r7RH9SeBn+vjAsAAABIlPC52l3Zx9vjdMjlsLV6LFIbwRtxs7061E4+KD/TOuZxOtQ/xyNJKq9injcAAABSS21jKDy7nXa5HF2LVyywln4I3ogbq9U8PyPiuFkBN4M5AAAAkCrMbcFyu1DtNrUssEarebogeCNuKpuDdUlYxVuSBjUH8QpWNgcAAECKqbf28I4ieJt7eVPxThsEb8TN7gafJKkoxx1x3Gw131nn6/ExAQAAAIlktpp3ZQ9vE63m6YfgjbjZUx8K1oXZbQfvXXXeHh8TAAAAkEj1ze3i0QRv81yzTR2pj+CNuNndHLz7Ze0TvHNDwftbgjcAAABSTJ03tHNP+DZhnWGOd/oheCMu/IGgaprbbFpVvJtvf0urOQAAAFKMGZ5zMlxdfgyt5umH4I24qGreo9tmk/IzI190qHgDAAAgVZnhOSeKincOi6ulHYI34mJP88JqBZkuOey2iPvMOd7f1hK8AQAAkFrqvN1fXK2O4J02CN6Ii13NbeT99mkzl1pWOa/3BbTXxzwWAAAApI66bm0n1hy8Gwne6SKm4H3bbbfJZrNp7ty51rHGxkbNmTNHRUVFysnJ0cyZM1VZWRnrONHHmRXvwqzWwTvX45TbGfpTo90cAAAAqaSuG9uJ5Wawqnm66XbwXrdunR566CGNHTs24viVV16p5557Tk8++aRWrVql8vJynX766TEPFH3b7na2EpMkm82mATnM8wYAAEDqqe9OqzmrmqedbgXvuro6zZo1S4888oj69etnHa+urtajjz6qu+++W8cdd5wmTJigpUuX6s0339TatWvjNmj0Pe3t4W0y281Z2RwAAACpJJZWcxZXSx/dCt5z5szRySefrGnTpkUcX79+vfx+f8TxkSNHasiQIVqzZk2b1/J6vaqpqYn4QvLZ3dD+HG+pZYG1XVS8AQAAkEK6s7haDnO8007X/zqaPfHEE3r33Xe1bt26VvdVVFTI7XaroKAg4nhxcbEqKiravN7ChQt10003RTsM9DFWxbuNOd6S1N+qeBO8AQAAkDqsVvOMKIJ3Bquap5uoKt5bt27VFVdcoeXLlysjIyMuA5g/f76qq6utr61bt8bluuhZu5v38W6v4l1kzfGm1RwAAACpw5ynbc7b7gprH28WV0sbUQXv9evXa8eOHTr88MPldDrldDq1atUq3XvvvXI6nSouLpbP51NVVVXE4yorK1VSUtLmNT0ej/Ly8iK+kHxa5ni72rzfbDXfScUbAAAAKaTOGypA5UZR8Q6f420YRkLGhb4lqlbz448/Xh9++GHEsfPPP18jR47UNddco7KyMrlcLq1cuVIzZ86UJG3cuFFbtmzRlClT4jdq9Dnmqub92mk1L2quhJsBHQAAAEh2TYGgGv1BSd1bXM0fMORtCirD5UjI+NB3RBW8c3Nzdcghh0Qcy87OVlFRkXX8wgsv1Lx581RYWKi8vDxddtllmjJliiZPnhy/UaPPsfbxbqfVvCDL1Xyev8fGBAAAACRSfdh2YNmerofn8Lb0em8TwTsNRL24Wmfuuece2e12zZw5U16vV9OnT9cDDzwQ76dBH9LoD6jBF3rRaW+Ot1kJr2qg4g0AAIDUUNc8R9vtsMvj7Hp4dthtynI71OALqN4bUFFOokaIviLm4P3aa69F3M7IyNDixYu1ePHiWC+NJGG2mTvtNuW202JjVsJ302oOAACAFFFv7eEdfcU62+NUgy/AyuZpolv7eAPhrPnd2W7ZbLY2zzFbzb1NQe31Bdo8BwAAAEgmtY3RbyVmsvbyJninBYI3YmbO7y5qp81cCr2wOO22iPMBAACAZGZVvKPYSsxkVsnrCd5pgeCNmHW2orkk2Ww2FTTfT/AGAABAKjCr1TlRrGhuouKdXgjeiFnLHt7tB29J6tfcbl7FyuYAAABIAVbwptUcnSB4I2a7m4N0v2xXh+f1Y4E1AAAApJCWxdW602rujLgGUhvBGzGzKt4dtJpL4RVvgjcAAACSX13z4mrt7ezTkWwq3mmF4I2Y7W5oWdW8I/2sOd60mgMAACD5mft4d6finUvFO60QvBGzrs7xZnE1AAAApJJ4tJpT8U4PBG/ErCurmktSYfMc8D3M8QYAAEAKiE+reSCuY0LfRPBGzMwKdtcr3rSaAwAAIPmZobk7Fe8c9vFOKwRvxMQwjJaKdxfneLO4GgAAAFJBnTdUUOredmKu5msQvNMBwRsxqfM2yR8wJHV9VXMq3gAAAEgF9c0Vb7N6HY3s5seY7epIbQRvxGRPfShEZ7jsynR3/ILD4moAAABIJWa1OjfDFfVjc8xVzX0E73RA8EZMzK3EirI9nZ5rzgGvbWySPxBM6LgAAACARKttbG41j2FxNeZ4pweCN2Kyx5rf3fmnfPmZLtlsoe+raDcHAABAkqttbhPvTvA2H1NLq3laIHgjJl3dSkySHHab8prbcFhgDQAAAMnM1xSUtynUxZnbrcXVQo/xNgXVRDdoyiN4IyZd3UrMxAJrAAAASAXhLeKxtJqHrsVe3qmO4I2YRFPxllq2HDMfBwAAACQjs0U80+WQ0xF9rHI77XI3P66OBdZSHsEbMYm+4s1e3gAAAEh+tTHs4W0yH8uWYqmP4I2YWBXvLgbvAlrNAQAAkALMsNyd+d0may9vVjZPeQRvxMQM3oVdbTWn4g0AAIAUYO3h3Y353aZsN1uKpQuCN2KyO4rtxKSWlvQ9BG8AAAAkMWsrsVhazdnLO20QvBETs2W8q3O8zVbz3fW0mgMAACB51Xq7v4e3yVzZvJbgnfII3ui2QNCwWsZpNQcAAEA6aZnj3bXOz7aY1XIq3qmP4I1uq9nrV9AIfd/VxdXM4L2b4A0AAIAkVmeuah5DxTuHOd5pg+CNbjPDc26GU64u7l1ozgWvYlVzAAAAJLH4rGrevJ2YNxCXMaHvInij2/bUR7eHt9TSkl7V4FPQLJcDAAAAScZaXC2Wire1nRhFqVRH8Ea3WSuad3F+tyQVNJ8bNKSaRl5gAAAAkJzMBdFimeNtPtasniN1EbzRbeaWYNFUvN1Ou7XXoRncAQAAgGRTF4ftxPIyQ4+tIXinPII3us3cEiyairfUshAbe3kDAAAgWdWZFe8YWs3zmiveNXvpBE11BG90W0vFO7r2GjN4s5c3AAAAklVt87TJ2CrezcGbKZgpj+CNbttV1zzHO4pWc0kqzAq9wOyh1RwAAABJyqp4xxK8rYo3reapjuCNbrMq3t1sNWcvbwAAACSreKxq3jLHm4p3qiN4o9usVc2jrng3z/Gm4g0AAIAk5GsKytsUlCTlerq/qrlZ8W7wBdQUCMZlbOibCN7otu6sai6Fz/EmeAMAACD51IZVqLOb9+LujvA29VpWNk9pBG90mxmcow7eZsW7gZYaAAAAJJ/q5lXIcz1OOR3dj1ROh11Z7lBwp908tRG80S3+QND6VC7aOd7mKuhsJwYAAIBkZAZvc1XyWLDAWnogeKNbzNBst0X/gtOPOd4AAABIYjXNBai4BG8WWEsLBG90y57mPbgLstxy2G1RPbaQVc0BAACQxMyKd35m91c0N7VUvAneqYzgjW6xVjTPiv5TPnNxteq9flZvBAAAQNJpCd7xqHg3B28q3imN4I1u6e6K5pJU0PziYhgtL1oAAABAsqiJZ/BuXtmcVc1TG8Eb3bLLqnhHH7ydDrv1IsUCawAAAEg2Cal4U5BKaQRvdMvuulBgLsqJPnhLLZVythQDAABAsqluiGfF22w1p+Kdygje6JZd9V5J3Ws1l6SC5rnhu1nZHAAAAEkmnhXv3OZWcyreqS2q4L1w4UIdccQRys3N1cCBA3Xaaadp48aNEec0NjZqzpw5KioqUk5OjmbOnKnKysq4Dhq9z2w1L8r2dOvxhWwpBgAAgCQV1328WVwtLUQVvFetWqU5c+Zo7dq1euWVV+T3+3XiiSeqvr7eOufKK6/Uc889pyeffFKrVq1SeXm5Tj/99LgPHL0r1lbzfmwpBgAAgCQV1+BtbSdGq3kqi2rjuZdeeini9rJlyzRw4ECtX79exxxzjKqrq/Xoo49qxYoVOu644yRJS5cu1ahRo7R27VpNnjw5fiNHr4q11dya403FGwAAAEnGrE7HZ3E1Z8Q1kZpimuNdXV0tSSosLJQkrV+/Xn6/X9OmTbPOGTlypIYMGaI1a9a0eQ2v16uampqIL/R9u2NsNTdXQ99dzwsMAAAAkktcVzXPYFXzdNDt4B0MBjV37lxNnTpVhxxyiCSpoqJCbrdbBQUFEecWFxeroqKizessXLhQ+fn51ldZWVl3h4QeEgwaLcG726uas50YAAAAkk8gaFh7bscjeJuLDrPbT2rrdvCeM2eONmzYoCeeeCKmAcyfP1/V1dXW19atW2O6HhKvaq9fQSP0fXf28Q5/HKuaAwAAIJnUhrWExyN4m2sf7fUH1OgPxHw99E1RzfE2XXrppXr++ef1+uuva/DgwdbxkpIS+Xw+VVVVRVS9KysrVVJS0ua1PB6PPJ7utSujd+xunt+dl+GU29m9z27MOd5VVLwBAACQRMw28yy3Qy5H7Lsz53qcctptagoa2tPg06D8zJivib4nqr8UwzB06aWX6qmnntI///lPDRs2LOL+CRMmyOVyaeXKldaxjRs3asuWLZoyZUp8Roxet8ta0bz7H5iYn+ztouINAACAJBLP+d2SZLPZVGBttUu7eaqKquI9Z84crVixQs8884xyc3Otedv5+fnKzMxUfn6+LrzwQs2bN0+FhYXKy8vTZZddpilTprCieQoxw3J3VzSXpKLmx9Y2NsnbFJDH6YjL2AAAAIBEsrYSy4hP8JZC6x99W+dl/aMUFlXwfvDBByVJxx57bMTxpUuX6rzzzpMk3XPPPbLb7Zo5c6a8Xq+mT5+uBx54IC6DRd+wy1rRvPvBOz/TJZfDJn/A0K46n0oLaKkBAABA3xfvirckq+LN+kepK6rgbRhGp+dkZGRo8eLFWrx4cbcHhb5tV11ojnd3VzSXQi01A3I8Kq9u1M5aL8EbAAAAScFcfbxfdhwr3lmsf5TqYl8NAGlndxxazSWpf25ojvjOWm/MYwIAAAB6wu66+LwXDmeG+N3M8U5ZBG9ErWWOd2yr0Q9oXpxtZx3BGwAAAMnBnIcd1+BtLq5GxTtlEbwRNbNCPSA3xuDd/PhvqXgDAAAgSZhFKDMsxwPBO/URvBG1HTWNkqSBcQreVLwBAACQLPaYCw3HsN7RvsytdllcLXURvBG1Hc0V6uK8jJiuM4A53gAAAEgyuxNQ8S5snuNd1cAc71RF8EZU6rxNavAFJMVe8e6fQ/AGAABActltba0b23vhcGwnlvoI3oiK2Wae7XYo2xPVbnStWHO8aTUHAABAEjAMQ7ub52EnYjsx5ninLoI3olJZE582cylsVXMq3gAAAEgC9b6AfE1BSYlZ1bzBF1CjPxC366LvIHgjKjtqQxXvWFc0D79GvS+gem9TzNcDAAAAEslcWC3DZVeWO7buz3C5GU457DZJzPNOVQRvRMWsTg+MQ8U72+NUpsshiXZzAAAA9H3mVmKFcVxYTZLsdpv6Zbman4P3xamI4I2oVDbP8S6OQ8Vbaql676DdHAAAAH2cud7RgDgUofbFwsOpjeCNqOywKt7xCd4lzS9aFdWNcbkeAAAAkCg7m7s0zbWK4omtdlMbwRtR2dG8uNrA3Ph8yjeoIHSd7dV743I9AAAAIFGs98JxKkKFM99f0wmamgjeiIq5uFq8XmxKCzIlSeVVVLwBAADQt1HxRncRvBGVeFe8S/ND1ymvouINAACAvi2xFW+CdyojeKPLahv9qm3e9mtQfpxazfObK960mgMAAKCPo+KN7iJ4o8vMdvCCLJeyPfHZt9BsNd9OqzkAAAD6uJ015rTL+K9qPtDa7Yf3xamI4I0u21bVIEkqba5Sx0Np8+Jqu+p9avQH4nZdAAAAIJ4Mw2ipeMdpa91wVLxTG8EbXbZtT6gdfL9+8Qve+ZkuZbkdkqTtbCkGAACAPmpPg1/+gCFJ6p/jjvv1i5ur6PW+gGob/XG/PnoXwRtd9k3zAmj7FcQveNtsNmu++HYWWAMAAEAfZS4GPCDXI4/TEffrZ3ucyssITeekIJV6CN7oMnOOdzyDt9Qyz3sbwRsAAAB9lPletTTO74XD7dcvK+K5kDoI3uiybXtCc7zj2WoutcwZZy9vAAAA9FXmtMvBiQzeBWy1m6oI3uiyLbubX2ziHLzN621tDvYAAABAX1NuVbzjv6K5yaymE7xTD8EbXVLb6Ne3zas47t8/O67XHtp8va++rY/rdQEAAIB4Ka9OfKt5S/CmEzTVELzRJV/vClWji7LdystwxfXaw4qag/cuKt4AAADom7Y1h+GEzvE21z7aQ8U71RC80SWbm6vR8a52S9LQ/qFFJL6t87J1AgAAAPoka2vdHqh4s7ha6iF4o0vMNvD9i+IfvPMyXCrKDu2F+DVVbwAAAPQx4dMuhxRlJex59m++dnn1XjX6Awl7HvQ8gje6ZPOuUPAe1j8xLzRmJX0z87wBAADQx5jvUfvneOI+7TJcYbZbeRlOGQYFqVRD8EaXfL6jTpJ0wICchFz/gObgvan5eQAAAIC+wgzeByRg2mU4m82mYc3vtzd/y/viVELwRqcCQUOfVdZKkkaU5CbkOczrbqyoScj1AQAAgO76cqfZ/ZnY4C21hPsvdtIJmkoI3ujUlt0NavQH5XHaEzLHW5JGDcqTJH1aUZuQ6wMAAADdZVa8hw1IfPAexhTMlETwRqfMKvTBxbly2G0JeQ6z4r1ld4MafE0JeQ4AAACgO6xplz1R8R7AFMxURPBGpz7Zntg2cym0UEX/HLcMQ9pI1RsAAAB9hLcpoE07Qu9PzS7NRDKfY2NFjQJBI+HPh55B8Ean/rO1SpJ0SGliX2gO2S8/4vkAAACA3rapsk7+gKH8TJcG90vcHt6mYUXZynY71OgP6sudVL1TBcEbHQoGDb23ZY8kacLQwoQ+1+FD+kmS3t1SldDnAQAAALrqo/JqSdKY0jzZbImZdhnObrdZVe+Pyll4OFUQvNGhL7+tU01jkzJcdo0clLhWcykseH+9J6HPAwAAAHTVhm2h8Dsmwd2f4czn+nBbdY89JxKL4I0OrfsqFILHDi6Qy5HYP5fDyvJlt0nbqvZqe/XehD4XAAAA0BVvb94tSRrfXCTqCeZzrftqd489JxKL4I0Ordq4U5I09cD+CX+u3AyXxg4ukCS9/tnOhD8fAAAA0JFv67zaWBlaWG3yAUU99rxTDgw914Zt1are6++x50XiELzRLl9TUKs//1aS9L2RA3rkOb83YqAk6V+fErwBAADQu9Z+uUuSNLIkV4XZ7h573uK8DB3QP1tBo6XijuRG8Ea71n65S3XeJvXPceuQ0vweeU4z4P97007t9QV65DkBAACAtrz6caUk6age6P7c19SD+keMAcmN4I12/XX9N5Kk7x8ySHZ74ldwlKRDSvNVVpipel9AL320vUeeEwAAANjXXl9ArzSH3pPHDurx5//BoaHnfHHDdvmagj3+/Igvgjfa9G2dVy99VCFJOnNiWY89r91u0xkTQs+34q0tMgyjx54bAAAAML300XbV+wLaryBThw8p6PHnP3JYoQbmelTT2GR9AIDkRfBGm5a89oV8TUGNHZyvQ/brua0TpFDQdzvsWvfVHr35xa4efW4AAAAgGDT04GtfSJJ+fGRZj+zfvS+H3aazjggVpB5c9TkFqSRH8EYrG7ZV67E1X0mS5p1wcI+/0JTkZ+jsSUMkSdc/s4G53gAAAOhRy9/eos8q65TrceonU/bvtXGcN3WYMl0ObdhWoyebp4EiOSUseC9evFj777+/MjIyNGnSJL399tuJeirE0Vff1ut//rxe/oChE0cX67sH98xq5vu6/PjhGpjr0Rc763XZ/76rRj/hGwAAAIn35hff6pYXPpYkXXnCwcrPdPXaWAqz3bpi2nBJ0o3PfsQK50ksIcH7//7v/zRv3jzdcMMNevfdd3XYYYdp+vTp2rFjRyKeDjHyNgX0UXm17v5/G3Xyvf/Wtqq9OqB/tm6fObZX2mqk0IvMvT8eL4/Trlc/2aGTFr2uP6/9Wlt3N9BmAwAAgLjyNQX13pY9uvHZj/STR99Woz+o40cO1HlH7d/bQ9NF3zlA3xneXw2+gM5+ZK1ufPYjffBNlfwBFlxLJjYjASlm0qRJOuKII3T//fdLkoLBoMrKynTZZZfp2muvjTjX6/XK6/Vat2tqalRWVqbq6mrl5fXs3OJoXfa/76m8aq8VBM1fpGG0fK827gvdNiJvW8fN25H/Wdp93D7ntzxvx/ebj2/wBfRtXcvvX5KO2L+fFp99uAbmZbT1Y/eoNV/s0hVPvKcdtS1jdDvsKspxK8fjlMNuk9Nhk8Nul90m9c7HBMkhUR9XJPJzkIRdOoGDTs7fc2IuntAxJ+jaifxYLxk/NEzc7zmB/xvkb6Plugm5amIvzu95n2vzv8GEX1eSfIGgvq3zRjzHjMNK9bv/HqsMlyNxTxyFvb6A5v3lP3pxQ4V1zG6T+mW5VZDlksthl8Nuk8Nuk91mC70v7qUCWrzc8d9jdeCAnN4eRodqamqUn5/fpezqjPeT+3w+rV+/XvPnz7eO2e12TZs2TWvWrGl1/sKFC3XTTTfFexg94qNt1fry2/reHkZcZLsdmnRAkU4/fD99/5BBcvTQ9mGdmXJgkV79xXf113e+0TPvl+ujbdXyBYLaXt3Y20MDAABACsnLcOqoA/tr1uQh+s7w3plu2Z5Mt0MPzDpc/970rZa/9bXWfLFLNY1N2lXv0656X28PLyFSbZ2nuFe8y8vLtd9+++nNN9/UlClTrONXX321Vq1apbfeeivi/GSueP970041NP9BmDHV/GSp5fY+/8r6pmuPaz5i2+d8dXJ/+Cdcre9ruYjHaVdpQab6ZbmS4lMxb1NA39b59G2tVw2+gAJBQ03BoAJBQ4Fg8lWT9mUosVX7RP03TuyYk+u6Utj/zuN/4YRJ1KUT+bqSuDEn6MJK3N9GYsecbBfm9xxx3UT+bzD5XuoS+N+Q33PEtZPs/YbDblNJfoaKst1J8X5YCnVw7Kz1ale9T1UNfus9cdAwFAhKwSTsstrX5AOKenV+fVf0asU7Wh6PRx6Pp7eH0S197ZOwdOBxOrRfQab2K8js7aEAAAAAvcJms2lgXkafmBqKron74mr9+/eXw+FQZWXkJu+VlZUqKSmJ99MBAAAAANCnxT14u91uTZgwQStXrrSOBYNBrVy5MqL1HAAAAACAdJCQVvN58+Zp9uzZmjhxoo488kgtWrRI9fX1Ov/88xPxdAAAAAAA9FkJCd4/+tGPtHPnTl1//fWqqKjQuHHj9NJLL6m4uDgRTwcAAAAAQJ+VkH28YxHNynAAAAAAAPSGaLJr3Od4AwAAAACAFgRvAAAAAAASqNf38d6X2fleU1PTyyMBAAAAAKBtZmbtyuztPhe8a2trJUllZWW9PBIAAAAAADpWW1ur/Pz8Ds/pc4urBYNBlZeXKzc3VzabrbeHg26qqalRWVmZtm7dyiJ5SEr8DSPZ8TeMZMffMFIBf8epzTAM1dbWqrS0VHZ7x7O4+1zF2263a/Dgwb09DMRJXl4eLzJIavwNI9nxN4xkx98wUgF/x6mrs0q3icXVAAAAAABIIII3AAAAAAAJRPBGQng8Ht1www3yeDy9PRSgW/gbRrLjbxjJjr9hpAL+jmHqc4urAQAAAACQSqh4AwAAAACQQARvAAAAAAASiOANAAAAAEACEbwBAAAAAEgggjcAAAAAAAlE8AYAAAAAIIEI3gAAAAAAJBDBGwAAAACABCJ4AwAAAACQQARvAAAAAAASiOANAAAAAEACOXt7APsKBoMqLy9Xbm6ubDZbbw8HAAAAAIBWDMNQbW2tSktLZbd3XNPuc8G7vLxcZWVlvT0MAAAAAAA6tXXrVg0ePLjDc/pc8M7NzZUUGnxeXl4vjwYAAAAAgNZqampUVlZmZdiO9LngbbaX5+XlEbwBAAAAAH1aV6ZIs7gaAAAAAAAJRPAGAAAAACCBCN4AAAAAACRQn5vj3VWBQEB+v7+3hwFExeVyyeFw9PYwAAAAAPSgpAvehmGooqJCVVVVvT0UoFsKCgpUUlLCPvUAAABAmki64G2G7oEDByorK4vwgqRhGIYaGhq0Y8cOSdKgQYN6eUQAAAAAekJSBe9AIGCF7qKiot4eDhC1zMxMSdKOHTs0cOBA2s4BAACSQDBo6JVPKrWj1tvmfU1BQ25n58tn2SR9Z3h/DS3KTsAo0ZclVfA253RnZWX18kiA7jP/fv1+P8EbAAAgCbz5xS79z5/Xx+Vaowfl6R9XfCcu10LySKrgbaK9HMmMv18AAIDksqs+VOkuynbryGGF1vHy6ka9v7VKkjS4X6YO3S+/3WtU7/XrzS92aXe9L6FjRd+UlME7Hhp8TRp9/cuSpI8XTFeWO21/FQAAAAA6YBihf0cNytOD50ywjj/3frku+9/3JEnHHDxAt/7Xoe1eY8O2ap1y32oZMhI6VvRN7OMNAAAAAB0ww3IsjYvmYw1yd1oieEPnnXeeTjvttKge88Ybb+jQQw+Vy+XSaaedptdee002my3h27x99dVXstls+s9//pPQ5wEAAAA6Ex7EO8vktk7PQCqjvxrdMm/ePI0bN04vvviicnJylJWVpe3btys/v/15LQAAAEAyimeVmoJ3eqLinaICgYCCwWDCrv/FF1/ouOOO0+DBg1VQUCC3262SkpKkXDjMMAw1NTW1Ou7zsfAFAAAAWoL3vu91w6vYnb0NptU8vSV98DYMQw2+pg6/vq1rbPW1q65lD75ddd42z+nsukYU/6vZf//9tWjRoohj48aN04033mj9HDfeeKOGDBkij8ej0tJSXX755da5Xq9XV111lfbbbz9lZ2dr0qRJeu2116z7ly1bpoKCAj377LMaPXq0PB6PtmzZ0mocgUBA8+bNU0FBgYqKinT11Ve3+jmCwaAWLlyoYcOGKTMzU4cddpj++te/Smpp9d61a5cuuOAC2Ww2LVu2rFWruTmel19+WaNGjVJOTo5OOukkbd++PeK5/vCHP2jUqFHKyMjQyJEj9cADD0Tc//bbb2v8+PHKyMjQxIkT9d5773X6u/7zn/+siRMnKjc3VyUlJTr77LO1Y8cO635zrC+++KImTJggj8ej1atX69hjj9Wll16quXPnqn///po+fbok6e6779ahhx6q7OxslZWV6ZJLLlFdXZ0kqb6+Xnl5edbvx/T0008rOztbtbW1nY4XAAAAfZv5bjmWElNLMCd5p6OkbzXf6w9Yq5N313fueK1bj4vnauh/+9vfdM899+iJJ57QmDFjVFFRoffff9+6/9JLL9XHH3+sJ554QqWlpXrqqad00kkn6cMPP9Tw4cMlSQ0NDbr99tv1hz/8QUVFRRo4cGCr57nrrru0bNky/fGPf9SoUaN011136amnntJxxx1nnbNw4UI9/vjjWrJkiYYPH67XX39d55xzjgYMGKCjjz5a27dv14gRI7RgwQL96Ec/Un5+vt56661Wz9XQ0KA777xTf/7zn2W323XOOefoqquu0vLlyyVJy5cv1/XXX6/7779f48eP13vvvaeLLrpI2dnZmj17turq6nTKKafohBNO0OOPP67Nmzfriiuu6PR36ff79dvf/lYjRozQjh07NG/ePJ133nn6xz/+EXHetddeqzvvvFMHHHCA+vXrJ0l67LHHdPHFF+uNN96wzrPb7br33ns1bNgwffnll7rkkkt09dVX64EHHlB2drbOOussLV26VP/93/9tPca8nZub2+l4AQAA0LeZhap9q9qRc7w7juXm/VS801PSB+9UsWXLFpWUlGjatGlyuVwaMmSIjjzySOu+pUuXasuWLSotLZUkXXXVVXrppZe0dOlS3XrrrZJCgfOBBx7QYYcd1u7zLFq0SPPnz9fpp58uSVqyZIlefrnlgwuv16tbb71Vr776qqZMmSJJOuCAA7R69Wo99NBD+u53v2u1lOfn56ukpKTd5/L7/VqyZIkOPPBASaEPDxYsWGDdf8MNN+iuu+6yxjJs2DB9/PHHeuihhzR79mytWLFCwWBQjz76qDIyMjRmzBh98803uvjiizv8XV5wwQXW9wcccIDuvfdeHXHEEaqrq1NOTo5134IFC3TCCSdEPHb48OG64447Io7NnTvX+n7//ffXzTffrJ///OdWdf6nP/2pjjrqKG3fvl2DBg3Sjh079I9//EOvvvpqh+MEAABAcohnxZvcnZ6SPnhnuhz6eMH0Ds9p8LWev7vXF7Aq3f+++lhluh2tzumsmp3pav2Y7jrjjDO0aNEiHXDAATrppJP0gx/8QDNmzJDT6dSHH36oQCCggw8+OOIxXq9XRUVF1m23262xY8dKCoX10aNHW/f96le/0pw5c7R9+3ZNmjTJOu50OjVx4kTrU7zPP/9cDQ0NrQKpz+fT+PHjo/qZsrKyrNAtyQqlUqhF+4svvtCFF16oiy66yDqnqanJWqDtk08+0dixY5WRkWHdb34Y0JH169frxhtv1Pvvv689e/ZYc933/Z1MnDix1WMnTJjQ6tirr76qhQsX6tNPP1VNTY2amprU2NiohoYGZWVl6cgjj9SYMWP02GOP6dprr9Xjjz+uoUOH6phjjul0rAAAAEgC7c7xDvu+szne5qUoeaelpA/eNput04Dc1v3hYbwoxxO3lvH22O32Vv8j8/v91vdlZWXauHGjXn31Vb3yyiu65JJL9Lvf/U6rVq1SXV2dHA6H1q9fL4cjMuyHV3AzMzOtF4PS0tKILbcKCwu7NE5z7vILL7yg/fbbL+I+j8fTpWuYXC5XxG2bzWb9DszneeSRRyI+CJDU6meMRn19vaZPn67p06dr+fLlGjBggLZs2aLp06e3WiwtOzu71eP3PfbVV1/plFNO0cUXX6xbbrlFhYWFWr16tS688EL5fD5lZWVJClW9Fy9erGuvvVZLly7V+eefn5QLzQEAAKA1ax/vGK5BxTu9JX3wThYDBgyIWFispqZGmzdvjjgnMzNTM2bM0IwZMzRnzhyNHDlSH374ocaPH69AIKAdO3boO9/5Tpeez+l06qCDDmp1fNCgQXrrrbesamxTU5PWr1+vww8/XJIiFmb77ne/290ft1PFxcUqLS3Vl19+qVmzZrV5zqhRo/TnP/9ZjY2NVtV77dq1HV73008/1a5du3TbbbeprKxMkvTOO+90e5zr169XMBjUXXfdJbs9tBbhX/7yl1bnnXPOObr66qt177336uOPP9bs2bO7/ZwAAADoW1pWNY88Hs0+3mKOd1ojePeQ4447TsuWLdOMGTNUUFCg66+/PqKyu2zZMgUCAU2aNElZWVl6/PHHlZmZqaFDh6qoqEizZs3Sueeeq7vuukvjx4/Xzp07tXLlSo0dO1Ynn3xyl8dxxRVX6LbbbtPw4cM1cuRI3X333dZK5JKUm5urq666SldeeaWCwaCOPvpoVVdX64033lBeXl5cA+VNN92kyy+/XPn5+TrppJPk9Xr1zjvvaM+ePZo3b57OPvts/frXv9ZFF12k+fPn66uvvtKdd97Z4TWHDBkit9ut++67Tz//+c+1YcMG/fa3v+32GA866CD5/X7dd999mjFjht544w0tWbKk1Xn9+vXT6aefrl/+8pc68cQTNXjw4G4/JwAAAPqqfeN1+HZinSyuRjNkWot6O7Ft27bpnHPOUVFRkTIzM3XooYdGVBQNw9D111+vQYMGKTMzU9OmTdOmTZviOuhkNH/+fH33u9/VKaecopNPPlmnnXZaxPzngoICPfLII5o6darGjh2rV199Vc8995w1h3vp0qU699xz9Ytf/EIjRozQaaedpnXr1mnIkCFRjeMXv/iFfvKTn2j27NmaMmWKcnNz9V//9V8R5/z2t7/Vddddp4ULF2rUqFE66aST9MILL2jYsGGx/yLC/PSnP9Uf/vAHLV26VIceeqi++93vatmyZdbz5OTk6LnnnrOq/r/+9a91++23d3jNAQMGaNmyZXryySc1evRo3XbbbZ2G9Y4cdthhuvvuu3X77bfrkEMO0fLly7Vw4cI2zzXbz8MXdwMAAEDyi0eRmjne6c1mRPFffs+ePRo/fry+973v6eKLL9aAAQO0adMmHXjggVaIvP3227Vw4UI99thjGjZsmK677jp9+OGH+vjjjyMWyWpPTU2N8vPzVV1drby8vIj7GhsbtXnzZg0bNqxL1+pIg6/J2oYsntuCIX39+c9/1pVXXqny8nK53e52z4vn3zEAAAASb8VbW/Srpz7UCaOL9ci5LQv0vvxRhf7nz+slSecdtb9u/OGYdq/x5c46HXfXKuVmOPXhjR0vDo3k0FF23VdUafP2229XWVmZli5dah0Lr4IahqFFixbpN7/5jU499VRJ0p/+9CcVFxfr6aef1llnndXqml6vV16vN2LwPSHL7dRXt3W9RRtoT0NDg7Zv367bbrtN//M//9Nh6AYAAEDyic/iaqyuls6iajV/9tlnNXHiRJ1xxhkaOHCgxo8fr0ceecS6f/PmzaqoqNC0adOsY/n5+Zo0aZLWrFnT5jUXLlyo/Px868tcEAtIFnfccYdGjhypkpISzZ8/v7eHAwAAgDhrd3G18O+7up1YvAaFpBJV8P7yyy/14IMPavjw4Xr55Zd18cUX6/LLL9djjz0mSaqoqJAUWrE6XHFxsXXfvubPn6/q6mrra+vWrd35OYBec+ONN8rv92vlypUR27sBAAAgNZhh2RZDzdsqeDPHOy1F1WoeDAY1ceJE3XrrrZKk8ePHa8OGDVqyZEm3V7v2eDxR7w8NAAAAAD2mOSy33k4sbFXzTkK5eT+xOz1FVfEeNGiQRo8eHXFs1KhR2rJliySppKREklRZWRlxTmVlpXVfPASDwbhdC+hp/P0CAAAkF6viHcMk75aKd8zDQRKKquI9depUbdy4MeLYZ599pqFDh0oKLbRWUlKilStXaty4cZJCi6W99dZbuvjii2MerNvtlt1uV3l5uQYMGCC3293pfnlAX2EYhnw+n3bu3Cm73c4ibAAAAEnCmuO9T1U7mjne1rWoeaelqIL3lVdeqaOOOkq33nqrzjzzTL399tt6+OGH9fDDD0sKtVrMnTtXN998s4YPH25tJ1ZaWqrTTjst5sHa7XYNGzZM27dvV3l5eczXA3pDVlaWhgwZIrs9qoYTAAAA9BKjJXl3GxXv9BZV8D7iiCP01FNPaf78+VqwYIGGDRumRYsWadasWdY5V199terr6/Wzn/1MVVVVOvroo/XSSy/Fbb9it9utIUOGqKmpSYFAIC7XBHqKw+GQ0+mkUwMAACAFhL+l6+zdHe//0ltUwVuSTjnlFJ1yyint3m+z2bRgwQItWLAgpoF1xGazyeVyyeVyJew5AAAAAEAKX9U8ftdCeqHXFQAAAAA60LKP9z5zvG1tf98W626Sd1oieAMAAABAB9qreIcvttZZK7k1x5vknZYI3gAAAADQAaOdfbyjYe3jTe5OSwRvAAAAAOiCVrk7qsXVQv+Su9MTwRsAAAAAOtDeHO9omI80KHmnJYI3AAAAAHTAnJfdeo53ezfaQMU7rRG8AQAAAKAD8ShSM8c7vRG8AQAAAKAr9qlqh7ee2zopeceyMBuSH8EbAAAAADrQsp1Y7HO8kZ4I3gAAAADQgZbF1SKPh9+MpqLNAmvph+ANAAAAAB1ob3G1aIS3pZO70w/BGwAAAAA60G7FO5p9vMOvF49BIakQvAEAAACgC2Ka4x32UFrN0w/BGwAAAAA6YAbl1nO8w1Y17ySTh59L7E4/BG8AAAAA6EB7reZRiah4xzQcJCGCNwAAAAB0oL2cHDnHu+v7eBvUvNMOwRsAAAAAusTW7q3OW82RzgjeAAAAANCBeLSas51YeiN4AwAAAEAH2t3HO4rtxJDeCN4AAAAA0IG4VLzbuB7SR1TB+8Ybb5TNZov4GjlypHV/Y2Oj5syZo6KiIuXk5GjmzJmqrKyM+6ABAAAAoKeYOXnfBdQibneSyllcLb1FXfEeM2aMtm/fbn2tXr3auu/KK6/Uc889pyeffFKrVq1SeXm5Tj/99LgOGAAAAAB6VDv7eEcjYh9vcnfacUb9AKdTJSUlrY5XV1fr0Ucf1YoVK3TcccdJkpYuXapRo0Zp7dq1mjx5cpvX83q98nq91u2amppohwQAAAAACdNS8Y5ki2KOd2TFG+km6or3pk2bVFpaqgMOOECzZs3Sli1bJEnr16+X3+/XtGnTrHNHjhypIUOGaM2aNe1eb+HChcrPz7e+ysrKuvFjAAAAAEBitMzxjs8SagYl77QTVfCeNGmSli1bppdeekkPPvigNm/erO985zuqra1VRUWF3G63CgoKIh5TXFysioqKdq85f/58VVdXW19bt27t1g8CAAAAAInQ3pzsqPbxpuKd1qJqNf/+979vfT927FhNmjRJQ4cO1V/+8hdlZmZ2awAej0cej6dbjwUAAACARItHgZo53uktpu3ECgoKdPDBB+vzzz9XSUmJfD6fqqqqIs6prKxsc044AAAAACSTfava4a3n+6543tljkV5iCt51dXX64osvNGjQIE2YMEEul0srV6607t+4caO2bNmiKVOmxDxQAAAAAOgN7W0nFvMFkTaiajW/6qqrNGPGDA0dOlTl5eW64YYb5HA49OMf/1j5+fm68MILNW/ePBUWFiovL0+XXXaZpkyZ0u6K5gAAAADQ17UsrhZ53Nb1bbwjIjv7eKefqIL3N998ox//+MfatWuXBgwYoKOPPlpr167VgAEDJEn33HOP7Ha7Zs6cKa/Xq+nTp+uBBx5IyMABAAAAoCeYQTmWend4WzpzvNNPVMH7iSee6PD+jIwMLV68WIsXL45pUAAAAADQZ7RX8W7n+7ZEVryRbmKa4w0AAAAAqc6a471P8o6q1Tx8OzFK3mmH4A0AAAAAHTCDctxazWMcD5IPwRsAAAAAOtB+gTpsO7Eo9guj4J1+CN4AAAAA0AErJ8e4m5iZzVnVPP0QvAEAAACgC/bdxzuKInfz45GuCN4AAAAA0IH29vGOlq2l5I00Q/AGAAAAgA60t493xHZiUYRycnf6IXgDAAAAQAfiVvHe53pIHwRvAAAAAOiC1nO8be3e1+bjWVwtbRG8AQAAAKAD1j7eMVe8bc3Xi3VESDYEbwAAAADoQHs5Oeo53qytlracvT0A9H3BoKFd9b4278vNcKq2salL18nNcCrD5Yjn0AAAAICEs+Z4x3idljneRO90Q/BGp87+w1qt/XJ3zNfJy3Dq1V98VwNzM+IwKgAAAKBnWHOybe3v492lgrdZ8SZ3px1azdGpd77aY31vs7V8hQs/3taXJNU0NmlTZV0PjhwAAACIXfwq3rFeAcmKijc6ZX4g99avjldxXku1ev9rX7C+37zw5A6vcdKi1/VpRS2f7gEAACBptSo+hQXprszxjnVxNiQvKt7olLWKYzyuxVISAAAASDLmO9jW24mFfR/Fu2WKUemH4I1OBa0pLd2P3vbmxwZ5kQEAAECSMdqe4h01a3E1ilFph+CNLovlhaZlIQleZAAAAJBsOu8A7VqrOft4pyuCNzoUHpRj+YDPCt6xDQcAAADocfGveCPdELzRofDWcHscWs2peAMAACDZtPcWNuq3x3SBpq2Ygvdtt90mm82muXPnWscaGxs1Z84cFRUVKScnRzNnzlRlZWWs40Qviah4x9Jqbl0vtvEAAAAAPc2ckx3LmkcSFe901u3gvW7dOj300EMaO3ZsxPErr7xSzz33nJ588kmtWrVK5eXlOv3002MeKHpH+ItCTPsOMp8FAAAASardinfEdmKdv1dmjnf66lbwrqur06xZs/TII4+oX79+1vHq6mo9+uijuvvuu3XcccdpwoQJWrp0qd58802tXbs2boNGzwmGV7xj6I+w21pfDwAAAEgG1nZisc7xth7Pe+J0060oNWfOHJ188smaNm1axPH169fL7/dHHB85cqSGDBmiNWvWtHktr9ermpqaiC/0HeE5OabF1czrxTIYAAAAoBd1vI93Vx6PdOWM9gFPPPGE3n33Xa1bt67VfRUVFXK73SooKIg4XlxcrIqKijavt3DhQt10003RDgO9IJY5LbTVAAAAIFnFbVVz3hOnragq3lu3btUVV1yh5cuXKyMjIy4DmD9/vqqrq62vrVu3xuW6iI/w1nB7DC80dlZwBAAAQJIy2tnHO6LiHcV7Zd4Rp5+ogvf69eu1Y8cOHX744XI6nXI6nVq1apXuvfdeOZ1OFRcXy+fzqaqqKuJxlZWVKikpafOaHo9HeXl5EV/oOyJbzWOoeDc/lhcZAAAAJJ147+PNm+K0E1Wr+fHHH68PP/ww4tj555+vkSNH6pprrlFZWZlcLpdWrlypmTNnSpI2btyoLVu2aMqUKfEbNXpMxKrmcZjkzYsMAAAAko21uNq+c7zDVzXvwnXM99MG5ai0E1Xwzs3N1SGHHBJxLDs7W0VFRdbxCy+8UPPmzVNhYaHy8vJ02WWXacqUKZo8eXL8Ro0eE4zTPt6sag4AAIBk1d50ychW864vr8Zb4vQT9eJqnbnnnntkt9s1c+ZMeb1eTZ8+XQ888EC8nwY9hFZzAAAApLt4bydG8E4/MQfv1157LeJ2RkaGFi9erMWLF///9u49Ourq3vv4ZyaXIVwSSIAkyF1QoFy0WDHVKkoUqcfHC+Wh1lZAjy48iCJabLpEW86xKF3nKD0L8ZSHotZSj/qI1rZgIR5wtYYosTwVLxQQG5UkIEISA7nOfv4g85sMJJOZzG9mfjPzfq2VFWZ+v9mzBzfb/Z2993dHWjScoGPgHUFH4yK5GgAAABJUV0PYjsPjUMbK/iN2GROnmh6d443UEZjVvOeRt5ujEwAAAJCg/DPekU15M+Odugi8EVRAcrUIyiGRBAAAABJd0OPEQnp9hGvVkbAIvBGUsSm5mr+8yMsAAAAAYsk3JrZrjzdSD4E3gvIG7PGOfKm5l8AbAAAACcZ/nNjpAtKah14eY+KUQ+CNoHxLw+3L4EgvAwAAgATTPoSNeI+3VRxj4lRD4I3gfJ1MhMX4OxkAAAAgsXQ1GRX2Hm8SDqcsAm8E5VsaHklG846vZ8YbAAAAicbuISwj4tRD4I2g7F9qHmGFAAAAgBgzXawCDfscb7ZfpiwCbwRlbNrP4uuW6GIAAACQaIx/k3dE5fiP2EWqIfBGUF7f0QkRluN2BZYHAAAAJIouZ7w7BOKhnNHtu4chceoh8EZQxp4v91hqDgAAgIRlHSdm2zneDIpTDYE3QhJpcjUXS80BAACQ4E6f1Q57j7e91UECIfBGULYtNW9vaSSSAAAAQKLpahUox4khVATeCMqu5GrsZwEAAEDismcyKrA0pBICbwRl134WcXQCAAAAElRXQ9iOS8/DWWrOkDj1EHgjKPuymrvay4uwIAAAACDGmIxCpAi8EZR9S83by4usOgAAAEDMGWsy6rTkagF7vEM5Tqy9PLsqhoRB4I1unOoW3DYdncC3ewAAAEg01gg24jExeY9SFYE3gvLaNOPtppMBAABAgrJWgQa7KZw93sx5pxwCbwQVUicTAjoZAAAAJCr/Hu8It1+y1jxlEXgjKF+gHGkn408kEWGFAAAAgDg5fUQc9jneth1IhkQTVuC9du1aTZ48WdnZ2crOzlZRUZE2b95sXW9sbNSiRYuUl5envn37avbs2aqpqbG90ogdr/fU70jjbrKaAwAAIFFZydXsynsUYX2QeMIKvIcOHapHH31UFRUV2rVrl6644gpdd911ev/99yVJ9957r1577TW9+OKL2rFjhw4dOqQbb7wxKhVHbFgz3hGWw1JzAAAAJLrTA++Oq0LDWSHKKtDUkx7Ozddee23A40ceeURr167Vzp07NXToUK1fv14bN27UFVdcIUnasGGDxo8fr507d+qiiy7qtMympiY1NTVZj+vq6sL9DIgiX6fgtmk/C50MAAAAEo3dY1gmo1JPj/d4t7W16fnnn1dDQ4OKiopUUVGhlpYWFRcXW/eMGzdOw4cPV1lZWZflrFy5Ujk5OdbPsGHDelolRIH/HO/IyvFnNaeTAQAAQGLxrwI97RzvLv7cFY4TS11hB97vvfee+vbtK4/Ho4ULF2rTpk2aMGGCqqurlZmZqf79+wfcn5+fr+rq6i7LKykpUW1trfXz6aefhv0hED22LTVnxhsAAAAJyq7JKJKap66wlppL0rnnnqvdu3ertrZWL730kubNm6cdO3b0uAIej0cej6fHr0d0GZvO8fZ1M3QyAAAASDRdTR4FZDUP5RxvazKKUXGqCTvwzszM1JgxYyRJU6dO1TvvvKPVq1dr7ty5am5u1vHjxwNmvWtqalRQUGBbhRFbXpsyOLpdgeUBAAAAiaKrI3Y7Lj0PK/C2rWZIFBGf4+31etXU1KSpU6cqIyNDpaWl1rW9e/eqsrJSRUVFkb4N4sTXKdh2dAK9DAAAABKMtQo0wnKsQJ0xccoJa8a7pKREs2bN0vDhw1VfX6+NGzdq+/btev3115WTk6PbbrtNS5cuVW5urrKzs7V48WIVFRV1mdEczmdbVnOWmgMAACBBdTUZFbDUPISw3D/jzag41YQVeB8+fFi33HKLqqqqlJOTo8mTJ+v111/XlVdeKUl6/PHH5Xa7NXv2bDU1NWnmzJl68skno1JxxIZv/0mk3+652c8CAACABBdKcB389UhVYQXe69evD3q9V69eWrNmjdasWRNRpeAc/m/3Ij3Hm6MTAAAAkKC6yGoecJxYGMNlxsSpJ+I93khudh2dYJXHshoAAAAkGNvGsExGpSwCbwTltW2puau9vAgLAgAAAGKsy+RqYQ6SOcc7dRF4IyjbkquR1RwAAAAJyv6TfhgUp5qwz/FGavGfWRhZOf5v9+hkAAAA4EyHjp/U1g9q1HbaMs2ausb2PwU7xzuErObtv7d9WKPPjp0Mem+vjDRdM7lQOVkZ3ZYL5yPwRlD+ZTWRRd5uN/tZAAAA4GzLX9mj0o8Od3m9V0ZkC4Z7ZaRJkl7Y9VlI91d+eUI/mjUuoveEMxB4Iyi7kqtZM95E3gAAAHCoow3NkqQLR+WqILtXwLXCnF4qOjsv4LnAc7y7d99V56hgZ6Vau0l89Peaen1UXa9j7fVB4iPwRlD+peb2RN7E3QAAAHAq3yTRwstG64px+baXP3VErqaOyO32vie379dHW/ZaiY6R+EiuhqC8XWVwDBNZzQEAAOB01tg3xEknm07cPQNj5+RD4I2gfN/6uSNsKSRXAwAAgNPZdZRupNimmXwIvBGUdXRChN0Px4kBAADA6cI9Sjfi7Zhd8L0/Q+fkQeCNoHzfskXap1idB5E3AAAAHMo34x1y4B2levjenj3eyYPAG0GZMPe5dMW/1BwAAABwJv+Md3zrwR7v5EPgjaCMTcnV5OIcbwAAADibtcc75KXm0amHmxnvpEPgjaC8ti01DywPAAAAcBq7xr6RcrFNM+kQeCMo3z/1UPe5dMWXnI2uAwAAAE4V7tg30gTEXXGTmDjpEHgjKLuWmpPVHAAAAE7nlD3eLmuPN4PnZEHgjaDsy2oeWB4AAADgNOHu8Y5WWnOSqyUfAm8EZZ3jHelSc5KrAQAAwOH8x4nFtx5MWiUfAm8EZVtWc1957PIGAACAQ4V7lG60krCxTTP5EHgjKPuymrNcBgAAAM7GHm9ES1iB98qVK/WNb3xD/fr10+DBg3X99ddr7969Afc0NjZq0aJFysvLU9++fTV79mzV1NTYWmnEjm1ZzfnWDgAAAA7nX2oealbz6GDSKvmEFXjv2LFDixYt0s6dO7V161a1tLToqquuUkNDg3XPvffeq9dee00vvviiduzYoUOHDunGG2+0veKIDbuSq/lezlJzAAAAOJVTzvH2zbgz45080sO5ecuWLQGPn376aQ0ePFgVFRW69NJLVVtbq/Xr12vjxo264oorJEkbNmzQ+PHjtXPnTl100UX21Rwx4d/jHVnv4ya5GgAAABzOG+bYN9IExF2Xe+o3Y+fkEdEe79raWklSbm6uJKmiokItLS0qLi627hk3bpyGDx+usrKyTstoampSXV1dwA+cwzdDHfGMN5kZAQAA4HDWHu8Qo6RoLzVntWjy6HHg7fV6tWTJEl188cWaOHGiJKm6ulqZmZnq379/wL35+fmqrq7utJyVK1cqJyfH+hk2bFhPq4QoCDezY7fl2VIKAAAAYD8T5h7vaLGSq3njWg3YqMeB96JFi7Rnzx49//zzEVWgpKREtbW11s+nn34aUXmwl9em48RIEAEAAACnC/cc72jF5+zxTj5h7fH2ueuuu/T73/9eb775poYOHWo9X1BQoObmZh0/fjxg1rumpkYFBQWdluXxeOTxeHpSDcSACbPz6QpLzQEAAOB0XptXe/YU+ZGST1gz3sYY3XXXXdq0aZPeeOMNjRo1KuD61KlTlZGRodLSUuu5vXv3qrKyUkVFRfbUGDHl+7ceaefjz2oOAAAAOJOV1TzE+yNNQNx1uYH1QeILa8Z70aJF2rhxo1599VX169fP2redk5OjrKws5eTk6LbbbtPSpUuVm5ur7OxsLV68WEVFRWQ0T1B2zXi73b5v7eg8AAAA4FC+5GoO2ePNyDl5hBV4r127VpI0ffr0gOc3bNig+fPnS5Ief/xxud1uzZ49W01NTZo5c6aefPJJWyqL2PPHyTbNeNN7AAAAwKG8YSZXY483QhVW4B3KbGWvXr20Zs0arVmzpseVQnzUN7aooakt4Lnaky2SbOhU2gs42dKm6trGbm8f3M9jzZIDAAAAseDf4x3fepCYOPn0KLkaks9fK49p7n/tVHNb52cWRJ7V/NTv7XuP6KKVpcFvlnThyFy9sJC8AAAAAIgda8Y7zhNAvnPE2aaZPAi8IUnac6hOzW1euVxS+mkdTUaaW8UT8iMqf9qoXOVne/RlQ3PQ+4yRWr1G71Yei+j9AAAAgHBZiYXjWgt/0jbi7uRB4A1Jkrd9Hcu3JxVqzfe+bnv5Ywb3U/mPi7u973B9oy58pFRt9DIAAACIMeOQPd4u9ngnnbCOE0PyavOG18lES8czC1laAwAAgFjyWlnN41sP9ngnHwJvSPJ/m5YW504mrUPgT0cDAACAWLLO8Q51xjtKi9L9k1EMiJMFgTckOSmRhP/924i8AQAAEEPGMTPep36z1Dx5EHhDkuRLZh7/peb+P9PRAAAAIFY6zi6HPOMdraFze7kMh5MHgTckdVxqHt/AO83dcak5PQ0AAABio+Niy1BnvKM1cvbv8WY8nCwIvCHJn9U87kvNXSw1BwAAQOx5ezDjHS0dEw4jORB4Q5Ks47viv5+lw4y3N44VAQAAQErpGHiHPOMdpQCdPd7Jh8AbkvxLa9LiHHmz1BwAAADx0HHoGe8Zb/853nGtBmxE4A1JHZaax31Zjf/PbQTeAAAAiBHjoD3evsDfiPFwsiDwhqSOS83j/e2ey/8NH1/xAQAAIEYCl5rHezKqPbkaWy+TBoE3JPmD3DQHtAhfZnVmvAEAABArgcnVQntNtOJzt3WcGOPhZOGAMAtO4Oto4p3VvGMdmPAGAABArAQeJ+aQGW/Gw0mDwBuSpLb2ZSzx7mRO1eHUb5aaAwAAIGY6JlcL8SXRTsLGHu/kQeANSf4Z7zQHBN7WUnMCbwAAAMSII/d4MxxOGgTekOTUpeb0NAAAAIiNnuzxjhZ3e5TGHu/kQeANSf7ZZQfE3R2+4aOjAQAAQGz4Zpddrvif482Md/Ih8IYkhy01d/uWmse5IgAAAEgZxiHH656qw6nfTEQlDwJvSPKfEeiIpebMeAMAACDGfCPP+I+GJV8tGA4nj7AD7zfffFPXXnuthgwZIpfLpVdeeSXgujFGDz30kAoLC5WVlaXi4mLt27fPrvoiStoc+A0fydUAAAAQK14HjoeZiEoeYQfeDQ0NmjJlitasWdPp9VWrVukXv/iFnnrqKZWXl6tPnz6aOXOmGhsbI64sosd3dFeaA9ZApJFcDQAAADHWcY93vPmCf4bDySM93BfMmjVLs2bN6vSaMUZPPPGEHnzwQV133XWSpGeffVb5+fl65ZVX9N3vfveM1zQ1Nampqcl6XFdXF26VYANnfcNHMgkAAADEltfrxPEwA+JkYev85sGDB1VdXa3i4mLruZycHE2bNk1lZWWdvmblypXKycmxfoYNG2ZnlRCitvZ/047oaNpbJUvNAQAAECvGQTPeLpaaJx1bA+/q6mpJUn5+fsDz+fn51rXTlZSUqLa21vr59NNP7awSQuRfah7/niaNb/gAAAAQY0bOmfH2VYHhcPIIe6m53TwejzweT7yrkfKspeYOCLx9dfAy4w0AAIAYYY83osnWGe+CggJJUk1NTcDzNTU11jU4U5u1pyXOFZG/o2mjpwEAAECMODPnEePhZGFr4D1q1CgVFBSotLTUeq6urk7l5eUqKiqy861gM98/6jQHdDTWUnNvnCsCAACAlGGMkyaiTv0m8E4eYS81/+qrr7R//37r8cGDB7V7927l5uZq+PDhWrJkif7t3/5NY8eO1ahRo7R8+XINGTJE119/vZ31hs18S2sctdScjgYAAAAx4k+uFv/xsHx7vONbC9go7MB7165duvzyy63HS5culSTNmzdPTz/9tJYtW6aGhgbdcccdOn78uC655BJt2bJFvXr1sq/WsJ1vqbkjZrx9Wc0JvAEAABAj1kRU/IfDAXu8jTHO+DIAEQk78J4+fbq1DKMzLpdLK1as0IoVKyKqGGLLn1wtzhVRhz0tJFcDAABAjPjGw04IcjvuMzfGGQnfEBkHhFlwAmcmk4hzRQAAAJAyvA7c4y2x/TJZEHhDUoel5g7oaXx1aCPyBgAAQIwYa6l5/MfDHWfdGRInh7if4w1n8GUQd0JHQxZHAAAAREtjS5v+93+V6eMjDQHP+yZ94j8aDlxafv6KP3W7/H1wtkfP336RBmeTV8upCLwhyalLzQm8AQAAYK8Pq+r0t89qu7z+tbNyYlibzvXJTNfogX308RcNamhu6/b+r460atc/junbkwpjUDv0BIE3JPkziLPUHAAAAMmstX2MOSw3S8/dNi3gmksuDR2QFY9qBUhzu7R5ybdUXdvY7b1LX/h/qvjHMbW0eWNQM/QUgTck+TOIOyDuZsYbAAAAUdPSeipAzcpI04i8PnGuTdc86aHVr6/nVEjX0sbY2clIrgZJHc4tdEDk7auDly/tAAAAYLOW9oFvRlpyhEK+z9HKjLejJUdrQ8SsrOYO2OOd1l6FNma8AQAAYDPfjHd60gTepwbPLDV3NpaapxhjjGrqms5Yxt3Ueippg5OSq33Z0KxDx08GvTcjza1B/TyxqBYAAACSQGv7ssoMB6z0tIPvCwSWmjsbgXeKuf/Fv+n/vvtZl9fdDvjiz7fU/NHNH+nRzR91e/99V56jxTPGRrtaAAAASAK+ADV5lpqfGju3sk/T0Qi8U8y7lccknfoHevp5gMMGZOlrQ+J/fMLMrxVo54GjaupmuYzXa9TqNdZnAgAAALrjW5KdnpYcM94Zbma8EwGBd4ppajm1pPzlOy/WpKHxD7I7852pQ/WdqUO7ve93/++Q7v7tX9XUyrd7AAAACE1rks14p7PHOyEkR2tDyBrbg1RPRuL/p/ekn/oMje1fJgAAAADdaW4PUDOSZcbb2uNN4O1kiR99ISy+GW9f0JrIfJ+BGW8AAACEqrUtObOat7LU3NGSo7UhZL4g1ZOeFueaRM73GQi8AQAAEKrW9mN0M5Mm8GaPdyJIjtaGkLS2ea2OJilmvDN8M94sNQcAAEBofEvN05PuODEmo5ws8aMvhKy5wz/GZNrj3dRCJwMAAIDQ+JZkJ81SczfHiSWC5GhtCEnHADUZltaw1BwAAADh8s0MZyZLcrX2yajmVpaaO1niR18ImS9ATXe7kuIbPn9yNZaaAwAAIDQtSTbjnc6Md0JIjtaGkPgC1GTY3y113OPtlTF8wwcAAIDu+bOaJ8mMd/sXCGQ1d7aoRWBr1qzRyJEj1atXL02bNk1vv/12tN4KIbIymmckfkZzyb/U3BiyOAIAACA0/qXmyTEZ5Qu8m0mu5mhRaW3//d//raVLl+rhhx/Wu+++qylTpmjmzJk6fPhwNN4OIfLt8U6aGe8On4Pl5gAAAAhFS/spP+nu5BgTp1vneBN4O1l6NAr9j//4D91+++1asGCBJOmpp57SH/7wB/3qV7/Sj370o2i8ZVy88M6nqj3ZEu9qhOyzYyckJWfgvf7PB9UnMyrNGQAAAEnk/UN1kpJpqfmpz/HJ0RNa9+bHca6Nfa4//ywN6ueJdzVsY3uk0tzcrIqKCpWUlFjPud1uFRcXq6ys7Iz7m5qa1NTUZD2uq6uzu0pR89SOA/r4i4Z4VyNs/Xpl2FLO2MF9te/wVzo3v58t5YXL5XKpX6901Te26olt++JSBwAAACSmvh57Q6H87F62lhcq3+TTwS8a9MgfP4xLHaKh6Ow8Au9gvvjiC7W1tSk/Pz/g+fz8fH300Udn3L9y5Ur99Kc/tbsaMXHlhHwdqW/q/kYHcblc+s7UobaU9fStF+rXZf/QLUUjbCmvJx6bPVnbPqiJ2/sDAAAg8eT0ztD/mjLElrL+zy0X6MCRr3ThqFxbygvXpecM0sLLztbhusa4vH+05GTZM1noFC5jczroQ4cO6ayzztJbb72loqIi6/lly5Zpx44dKi8vD7i/sxnvYcOGqba2VtnZ2XZWDQAAAAAAW9TV1SknJyek2NX2Ge+BAwcqLS1NNTWBs5A1NTUqKCg4436PxyOPJ3mWEAAAAAAA0JHtWbYyMzM1depUlZaWWs95vV6VlpYGzIADAAAAAJAKopIGeunSpZo3b54uuOACXXjhhXriiSfU0NBgZTkHAAAAACBVRCXwnjt3ro4cOaKHHnpI1dXVOu+887Rly5YzEq4BAAAAAJDsbE+uFqlwNqgDAAAAABAP4cSutu/xBgAAAAAAfgTeAAAAAABEUVT2eEfCt/K9rq4uzjUBAAAAAKBzvpg1lN3bjgu86+vrJUnDhg2Lc00AAAAAAAiuvr5eOTk5Qe9xXHI1r9erQ4cOqV+/fnK5XPGuDnqorq5Ow4YN06effkqSPCQk2jASHW0YiY42jGRAO05uxhjV19dryJAhcruD7+J23Iy32+3W0KFD410N2CQ7O5tOBgmNNoxERxtGoqMNIxnQjpNXdzPdPiRXAwAAAAAgigi8AQAAAACIIgJvRIXH49HDDz8sj8cT76oAPUIbRqKjDSPR0YaRDGjH8HFccjUAAAAAAJIJM94AAAAAAEQRgTcAAAAAAFFE4A0AAAAAQBQReAMAAAAAEEUE3gAAAAAARBGBN0L2k5/8RC6XK+Bn3Lhx1vXGxkYtWrRIeXl56tu3r2bPnq2ampqAMiorK3XNNdeod+/eGjx4sH74wx+qtbU11h8FKaq7Njx9+vQzri9cuDCgDNow4u3zzz/X97//feXl5SkrK0uTJk3Srl27rOvGGD300EMqLCxUVlaWiouLtW/fvoAyvvzyS918883Kzs5W//79ddttt+mrr76K9UdBiuquDc+fP/+Mvvjqq68OKIM2jHgaOXLkGW3U5XJp0aJFkhgTo3Pp8a4AEsvXvvY1bdu2zXqcnu5vQvfee6/+8Ic/6MUXX1ROTo7uuusu3XjjjfrLX/4iSWpra9M111yjgoICvfXWW6qqqtItt9yijIwM/exnP4v5Z0FqCtaGJen222/XihUrrMe9e/e2/kwbRrwdO3ZMF198sS6//HJt3rxZgwYN0r59+zRgwADrnlWrVukXv/iFnnnmGY0aNUrLly/XzJkz9cEHH6hXr16SpJtvvllVVVXaunWrWlpatGDBAt1xxx3auHFjvD4aUkQobViSrr76am3YsMF6fPoZyLRhxNM777yjtrY26/GePXt05ZVXas6cOZIYE6MLBgjRww8/bKZMmdLptePHj5uMjAzz4osvWs99+OGHRpIpKyszxhjzxz/+0bjdblNdXW3ds3btWpOdnW2ampqiWnfAmOBt2BhjLrvsMnPPPfd0eZ02jHh74IEHzCWXXNLlda/XawoKCszPf/5z67njx48bj8djfvvb3xpjjPnggw+MJPPOO+9Y92zevNm4XC7z+eefR6/ygOm+DRtjzLx588x1113X5XXaMJzmnnvuMWeffbbxer2MidEllpojLPv27dOQIUM0evRo3XzzzaqsrJQkVVRUqKWlRcXFxda948aN0/Dhw1VWViZJKisr06RJk5Sfn2/dM3PmTNXV1en999+P7QdByuqqDfv85je/0cCBAzVx4kSVlJToxIkT1jXaMOLtd7/7nS644ALNmTNHgwcP1vnnn69169ZZ1w8ePKjq6uqAvjgnJ0fTpk0L6Iv79++vCy64wLqnuLhYbrdb5eXlsfswSEndtWGf7du3a/DgwTr33HN155136ujRo9Y12jCcpLm5Wc8995xuvfVWuVwuxsToEoE3QjZt2jQ9/fTT2rJli9auXauDBw/qW9/6lurr61VdXa3MzEz1798/4DX5+fmqrq6WJFVXVwd0ML7rvmtAtAVrw5L0ve99T88995z+53/+RyUlJfr1r3+t73//+9bracOIt48//lhr167V2LFj9frrr+vOO+/U3XffrWeeeUaSvx121k479sWDBw8OuJ6enq7c3FzaMaKuuzYsnVpm/uyzz6q0tFSPPfaYduzYoVmzZllLe2nDcJJXXnlFx48f1/z58yWJMTG6xB5vhGzWrFnWnydPnqxp06ZpxIgReuGFF5SVlRXHmgGhCdaGb7vtNt1xxx3W9UmTJqmwsFAzZszQgQMHdPbZZ8ejykAAr9erCy64wNoDeP7552vPnj166qmnNG/evDjXDuheKG34u9/9rnX/pEmTNHnyZJ199tnavn27ZsyYEZd6A11Zv369Zs2apSFDhsS7KnA4ZrzRY/3799c555yj/fv3q6CgQM3NzTp+/HjAPTU1NSooKJAkFRQUnJHR0ffYdw8QSx3bcGemTZsmSdZ12jDirbCwUBMmTAh4bvz48daWCV877KydduyLDx8+HHC9tbVVX375Je0YUdddG+7M6NGjNXDgwIC+mDYMJ/jHP/6hbdu26Z//+Z+t5xgToysE3uixr776SgcOHFBhYaGmTp2qjIwMlZaWWtf37t2ryspKFRUVSZKKior03nvvBfzPcuvWrcrOzj7jf8JALHRsw53ZvXu3JFnXacOIt4svvlh79+4NeO7vf/+7RowYIUkaNWqUCgoKAvriuro6lZeXB/TFx48fV0VFhXXPG2+8Ia/Xa33ZBERLd224M5999pmOHj0a0BfThuEEGzZs0ODBg3XNNddYzzEmRpfind0NieO+++4z27dvNwcPHjR/+ctfTHFxsRk4cKA5fPiwMcaYhQsXmuHDh5s33njD7Nq1yxQVFZmioiLr9a2trWbixInmqquuMrt37zZbtmwxgwYNMiUlJfH6SEgxwdrw/v37zYoVK8yuXbvMwYMHzauvvmpGjx5tLr30Uuv1tGHE29tvv23S09PNI488Yvbt22d+85vfmN69e5vnnnvOuufRRx81/fv3N6+++qr529/+Zq677jozatQoc/LkSeueq6++2px//vmmvLzc/PnPfzZjx441N910Uzw+ElJMd224vr7e3H///aasrMwcPHjQbNu2zXz96183Y8eONY2NjVY5tGHEW1tbmxk+fLh54IEHzrjGmBidIfBGyObOnWsKCwtNZmamOeuss8zcuXPN/v37resnT540//Iv/2IGDBhgevfubW644QZTVVUVUMYnn3xiZs2aZbKysszAgQPNfffdZ1paWmL9UZCigrXhyspKc+mll5rc3Fzj8XjMmDFjzA9/+ENTW1sbUAZtGPH22muvmYkTJxqPx2PGjRtnfvnLXwZc93q9Zvny5SY/P994PB4zY8YMs3fv3oB7jh49am666SbTt29fk52dbRYsWGDq6+tj+TGQwoK14RMnTpirrrrKDBo0yGRkZJgRI0aY22+/PeDYJWNow4i/119/3Ug6o381hjExOucyxph4z7oDAAAAAJCs2OMNAAAAAEAUEXgDAAAAABBFBN4AAAAAAEQRgTcAAAAAAFFE4A0AAAAAQBQReAMAAAAAEEUE3gAAAAAARBGBNwAAAAAAUUTgDQAAAABAFBF4AwCApHDDDTdowIAB+s53vhPvqgAAEIDAGwAAJIV77rlHzz77bLyrAQDAGQi8AQBIMtOnT9eSJUvCuscYozvuuEO5ublyuVzavXt3yO/lcrnCek20TJ8+Xf369ev02vz58616vvLKK7GtGAAg5RF4AwCSXsegKyMjQ6NGjdKyZcvU2NgY76rFzcsvv6x//dd/tR5v2bJFTz/9tH7/+9+rqqpKEydODCmAl6Tbb7/deo1TrV69WlVVVfGuBgAgRaXHuwIAAMTC1VdfrQ0bNqilpUUVFRWaN2+eXC6XHnvssXhXLS5yc3MDHh84cECFhYX65je/GXZZvXv3VkFBgV1V69J5552n1tbWM57/05/+pCFDhgR9bU5OjnJycqJVNQAAgmLGGwCQEjwejwoKCjRs2DBdf/31Ki4u1tatW63rW7Zs0SWXXKL+/fsrLy9P//RP/6QDBw4ElDF9+nQtXrxYS5Ys0YABA5Sfn69169apoaFBCxYsUL9+/TRmzBht3rw57HLvvvtuLVu2TLm5uSooKNBPfvKToJ/npZde0qRJk5SVlaW8vDwVFxeroaHBuu71eoOW13E2e/78+Vq8eLEqKyvlcrk0cuRIzZ8/Xzt27NDq1aut1QKffPJJyH/fXq9Xq1at0pgxY+TxeDR8+HA98sgjEf1d7t69W3v27Dnjp7ugGwCAeCPwBgCknD179uitt95SZmam9VxDQ4OWLl2qXbt2qbS0VG63WzfccIO8Xm/Aa5955hkNHDhQb7/9thYvXqw777xTc+bM0Te/+U29++67uuqqq/SDH/xAJ06cCLvcPn36qLy8XKtWrdKKFSsCvhjoqKqqSjfddJNuvfVWffjhh9q+fbtuvPFGGWN6VN7q1au1YsUKDR06VFVVVXrnnXe0evVqFRUVWcvIq6qqNGzYsJD/jktKSvToo49q+fLl+uCDD7Rx40bl5+dH9HcJAEDCMgAAJLl58+aZtLQ006dPH+PxeIwk43a7zUsvvdTla44cOWIkmffee8967rLLLjOXXHKJ9bi1tdX06dPH/OAHP7Ceq6qqMpJMWVlZj8s1xphvfOMb5oEHHui0jIqKCiPJfPLJJ51eD6W8yy67zNxzzz3W48cff9yMGDHijHI63tPVe51+T11dnfF4PGbdunVBXxfp3+XpZsyYYQYOHGiysrLMWWedZd56660z7pFkNm3aFFJ5AADYhRlvAEBKuPzyy7V7926Vl5dr3rx5WrBggWbPnm1d37dvn2666SaNHj1a2dnZGjlypCSpsrIyoJzJkydbf05LS1NeXp4mTZpkPeeb1T18+HCPy5WkwsJCq4zTTZkyRTNmzNCkSZM0Z84crVu3TseOHetxeXb78MMP1dTUpBkzZgS9L9y/y+5s27ZNR44c0YkTJ/TZZ5+pqKioB7UHAMB+BN4AgJTQp08fjRkzRlOmTNGvfvUrlZeXa/369db1a6+9Vl9++aXWrVun8vJylZeXS5Kam5sDysnIyAh47MuU3vGxJGspeSTlnr4c3SctLU1bt27V5s2bNWHCBP3nf/6nzj33XB08eLBH5dktKysrpPvC/bsEACBREXgDAFKO2+3Wj3/8Yz344IM6efKkjh49qr179+rBBx/UjBkzNH78+DNmkHsiWuVKp4LSiy++WD/96U/117/+VZmZmdq0aZMtZftkZmaqra0t7NeNHTtWWVlZKi0ttbU+AAAkKgJvAEBKmjNnjtLS0rRmzRoNGDBAeXl5+uUvf6n9+/frjTfe0NKlSyN+j2iVW15erp/97GfatWuXKisr9fLLL+vIkSMaP358xGV3NHLkSJWXl+uTTz7RF198EfLMc69evfTAAw9o2bJlevbZZ3XgwAHt3LkzYIUBAACphMAbAJCS0tPTddddd2nVqlU6efKknn/+eVVUVGjixIm699579fOf/zzi93C73VEpNzs7W2+++aa+/e1v65xzztGDDz6of//3f9esWbMiLruj+++/X2lpaZowYYIGDRp0xr70YJYvX6777rtPDz30kMaPH6+5c+fGbI85AABO4zKmw9kjAAAAYZg+fbrOO+88PfHEE/GuSkhcLpc2bdqk66+/Pt5VAQCkEGa8AQBARJ588kn17dtX7733Xryr0qWFCxeqb9++8a4GACBFMeMNAAB67PPPP9fJkyclScOHD1dmZmaca9S5w4cPq66uTtKpo9X69OkT5xoBAFIJgTcAAAAAAFHEUnMAAAAAAKKIwBsAAAAAgCgi8AYAAAAAIIoIvAEAAAAAiCICbwAAAAAAoojAGwAAAACAKCLwBgAAAAAgigi8AQAAAACIIgJvAAAAAACiiMAbAAAAAIAo+v9+eKGu5ys3kQAAAABJRU5ErkJggg==", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "spe = rc2.spectrum.from_delta_lines(deltas={500:1e3, 700:1.5e3})\n", + "fig, ax = plt.subplots(nrows=3, figsize=(10, 8), sharex=True, tight_layout=True)\n", + "spe.convolve(lineshape='voigt', sigma=3, gamma=5).plot(label=r'voigt$(\\sigma=3, \\gamma=5)$', ax=ax[0])\n", + "spe.convolve(lineshape=np.array([.1]*15+[.4]*15+[1]*15+[0]+[1]*25+[.4]*25+[.1]*25)/23).plot(label='user-defined array', ax=ax[2])\n", + "spe.convolve(lineshape=lambda x, w: np.exp(-(x/w)**2)/20, w=20).plot(label='user-defined exp(-(x/20)**2)/20', ax=ax[1])\n", + "ax[2].set_xlabel('Raman shift [$\\mathrm{cm}^{-1}$]')\n", + "fig.savefig('/tmp/convolve.png')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1d168697-e1f7-43fd-ac82-d8db5080f705", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "fig, ax = plt.subplots(nrows=3, figsize=(10, 8), sharex=True, tight_layout=True)\n", + "speconv = spe.convolve(lineshape='voigt', sigma=3, gamma=5)\n", + "ax[0].set_title('n_freq=50; amplitude=50; fun$(x)=0.006\\,x + 0.0001\\,x^2$')\n", + "speconv.add_baseline(n_freq=50, amplitude=50, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[0])\n", + "speconv.add_baseline(n_freq=50, amplitude=50, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[0])\n", + "speconv.add_baseline(n_freq=50, amplitude=50, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[0])\n", + "#speconv.add_baseline(n_freq=50, amplitude=50, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[0])\n", + "ax[1].set_title('n_freq=150; amplitude=20; fun$(x)=0.006\\,x + 0.0001\\,x^2$')\n", + "speconv.add_baseline(n_freq=150, amplitude=20, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[1])\n", + "speconv.add_baseline(n_freq=150, amplitude=20, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[1])\n", + "speconv.add_baseline(n_freq=150, amplitude=20, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[1])\n", + "#speconv.add_baseline(n_freq=150, amplitude=20, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[1])\n", + "ax[2].set_title('n_freq=20; amplitude=20; fun$(x)=-1.5\\,x + 0.001\\,x^2$')\n", + "\n", + "speconv.add_baseline(n_freq=20, amplitude=20, pedestal=10, func=lambda x: 600-x*1.5 + x**2*.001).plot(ax=ax[2])\n", + "speconv.add_baseline(n_freq=20, amplitude=20, pedestal=10, func=lambda x: 600-x*1.5 + x**2*.001).plot(ax=ax[2])\n", + "speconv.add_baseline(n_freq=20, amplitude=20, pedestal=10, func=lambda x: 600-x*1.5 + x**2*.001).plot(ax=ax[2])\n", + "ax[2].set_xlabel('Raman shift [$\\mathrm{cm}^{-1}$]')\n", + "\n", + "fig.savefig('/tmp/baseline.png')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "629b9ada-5870-4464-a6ab-eeaf2d6869bb", + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots(nrows=3, figsize=(10, 8), sharex=True, tight_layout=True)\n", + "\n", + "spe_baseline = speconv.add_baseline(n_freq=20, amplitude=20, pedestal=10, func=lambda x: 600-x*1.5 + x**2*.001)\n", + "ax[0].set_title('scale=0.01')\n", + "spe_baseline.add_poisson_noise(scale=.01).plot(ax=ax[0], alpha=.8, fmt=':')\n", + "spe_baseline.add_poisson_noise(scale=.01).plot(ax=ax[0], alpha=.8, fmt=':')\n", + "spe_baseline.add_poisson_noise(scale=.01).plot(ax=ax[0], alpha=.8, fmt=':')\n", + "\n", + "ax[1].set_title('scale=0.05')\n", + "spe_baseline.add_poisson_noise(scale=.05).plot(ax=ax[1], alpha=.8, fmt=':')\n", + "spe_baseline.add_poisson_noise(scale=.05).plot(ax=ax[1], alpha=.8, fmt=':')\n", + "spe_baseline.add_poisson_noise(scale=.05).plot(ax=ax[1], alpha=.8, fmt=':')\n", + "\n", + "ax[2].set_title('scale=0.2')\n", + "spe_baseline.add_poisson_noise(scale=.2).plot(ax=ax[2], alpha=.8, fmt=':')\n", + "spe_baseline.add_poisson_noise(scale=.2).plot(ax=ax[2], alpha=.8, fmt=':')\n", + "spe_baseline.add_poisson_noise(scale=.2).plot(ax=ax[2], alpha=.8, fmt=':')\n", + "ax[2].set_xlabel('Raman shift [$\\mathrm{cm}^{-1}$]')\n", + "\n", + "fig.savefig('/tmp/noise.png')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "439b1778-eab9-4f19-9fb7-11efcc911142", + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots(nrows=2, figsize=(10, 8))\n", + "markersize = 2\n", + "\n", + "\n", + "\n", + "\n", + "spe_deltas = rc2.spectrum.from_delta_lines(deltas={800:1e3, 1800:1.5e3, 2500:1e3})\n", + "spe_initial = spe_deltas.resample_NUDFT_filter(xnew_bins=100).convolve(lineshape='voigt', sigma=.1, gamma=1)\n", + "spe_baseline = spe_initial.add_baseline(n_freq=30, amplitude=50, pedestal=10, func=lambda x: x*.05 - .00001*x**2)\n", + "spe_complete = spe_baseline.add_poisson_noise(scale=.5)\n", + "spe_scaled = spe_complete.scale_xaxis_fun(lambda x: x**2*.0001 + x*.22)\n", + "spe_nobaseline = spe_scaled.subtract_moving_minimum(6)\n", + "spe_resampled = spe_nobaseline.resample_NUDFT_filter(xnew_bins=100, x_range=(0, 2500))\n", + "spe_normalized = spe_resampled.normalize()\n", + "\n", + "\n", + "\n", + "spe_initial.plot(ax=ax[0], fmt='.', label='Original', markersize=markersize)\n", + "\n", + "spe_complete.plot(ax=ax[0], fmt='.', label='Baseline + noise', markersize=markersize)\n", + "\n", + "spe_scaled.plot(ax=ax[1], fmt=\".\", markersize=markersize, label='Scaled $xnew = 10^{-4}\\,x^2 + 0.22\\,x$')\n", + "ax[1].legend(loc='upper left')\n", + "spe_normalized.plot(ax=ax[1].twinx(), fmt=\".r\", markersize=markersize, label='mov_min + resampling + normalize')\n", + "fig.savefig('/tmp/xscale_nudft.png')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e81eae4e-6570-4f34-934e-489ea89614a0", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "ramanchada2", + "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": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/publication/synthetic-spectrum-generation.ipynb b/examples/publication/synthetic-spectrum-generation.ipynb new file mode 100644 index 00000000..7274da14 --- /dev/null +++ b/examples/publication/synthetic-spectrum-generation.ipynb @@ -0,0 +1,561 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "06e5a61f-2bcb-4f7e-ae93-927c85f4e6b7", + "metadata": {}, + "source": [ + "# Generate synthetic spectra using ramanchada2" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "0802b101-9ac3-4462-95b1-eb5b40cd563e", + "metadata": {}, + "outputs": [], + "source": [ + "import ramanchada2 as rc2\n", + "import ipywidgets as ipyw\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "spe_tmp = {'orig': rc2.spectrum.from_delta_lines(deltas={500:1e3, 900:1.5e3})}\n", + "def convolve(lineshape, sigma):\n", + " spe_tmp['convolved'] = spe_tmp['orig'].convolve(lineshape=lineshape, sigma=sigma)\n", + " spe_tmp['convolved'].plot()\n", + "def add_baseline(n_freq, amplitude, pedestal, rng_seed, a1, a2):\n", + " spe_tmp['baseline'] = spe_tmp['convolved'].add_baseline(n_freq=n_freq, amplitude=amplitude, pedestal=pedestal, rng_seed=rng_seed, func=lambda x: x*a1 + x**2*a2)\n", + " spe_tmp['baseline'].plot()\n", + "def add_noise(scale, rng_seed):\n", + " spe_tmp['noise'] = spe_tmp['baseline'].add_poisson_noise(scale=scale, rng_seed=rng_seed)\n", + " spe_tmp['noise'].plot()" + ] + }, + { + "cell_type": "markdown", + "id": "a8362c6e-8650-495c-abbc-5d1c6b050ac1", + "metadata": {}, + "source": [ + "## end-to-end example" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "db41058b-aab7-4238-82a7-247975885bbf", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for sigma in [10, 20, 30]:\n", + " spe = rc2.spectrum.from_delta_lines(deltas={500:1e3, 700:1.5e3})\n", + " spe = spe.convolve(lineshape='voigt', sigma=sigma, gamma=3)\n", + " spe = spe.add_baseline(n_freq=50, amplitude=10, pedestal=10, func=lambda x: x*.006 + x**2*.00001)\n", + " spe = spe.add_poisson_noise(scale=.01)\n", + " spe.plot()" + ] + }, + { + "cell_type": "markdown", + "id": "a8182afd-f8f3-4687-9f34-0dfbed53ad87", + "metadata": {}, + "source": [ + "## documentation of the methods" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "fb27d8b6-a798-4941-8541-d7a18da310c6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Help on function from_delta_lines in module ramanchada2.spectrum.creators.from_delta_lines:\n", + "\n", + "from_delta_lines(deltas: Dict[float, float], xcal: Optional[Callable[[float], float]] = None, nbins: typing.Annotated[int, Gt(gt=0)] = 2000, **kwargs)\n", + " Generate `Spectrum` with delta lines.\n", + " \n", + " Args:\n", + " deltas:\n", + " Keys of the dictionary are the `x` positions of the deltas; values are the amplitudes of the corresponding\n", + " deltas.\n", + " xcal:\n", + " Callable, optional. `x` axis calibration function.\n", + " nbins:\n", + " `int`, optional. Number of bins in the spectrum.\n", + " \n", + " Example:\n", + " \n", + " This will produce spectrum with 1000 bins in the range `[-1000, 2000)`:\n", + " ```py\n", + " xcal = lambda x: x*3 -1000, nbins=1000\n", + " ```\n", + "\n" + ] + } + ], + "source": [ + "help(rc2.spectrum.from_delta_lines)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "da7d0dad-e704-433a-992f-64fc27922c01", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Help on method convolve in module ramanchada2.spectrum.filters.convolve:\n", + "\n", + "convolve(new_spe: ramanchada2.spectrum.spectrum.Spectrum, /, lineshape: Union[Callable[[Union[float, numpy.ndarray[Any, numpy.dtype[+_ScalarType_co]]]], float], numpy.ndarray[Any, numpy.dtype[+_ScalarType_co]], Literal['gaussian', 'lorentzian', 'voigt', 'pvoigt', 'moffat', 'pearson4', 'pearson7']], **kwargs) method of ramanchada2.spectrum.spectrum.Spectrum instance\n", + " Convole spectrum with arbitrary lineshape.\n", + " \n", + " Args:\n", + " old_spe: internal use only\n", + " new_spe: internal use only\n", + " lineshape:callable, `str` or `np.ndarray`.\n", + " If callable: should have a single positional argument `x`, e.g.\n", + " `lambda x: np.exp((x/5)**2)`.\n", + " If predefined peak profile: can be `gaussian`, `lorentzian`, `voigt`,\n", + " `pvoigt`, `moffat` or `pearson4`.\n", + " If `np.ndarray`: lineshape in samples.\n", + " **kwargs:\n", + " Additional kwargs will be passed to lineshape function.\n", + " \n", + " Returns: modified Spectrum\n", + "\n" + ] + } + ], + "source": [ + "help(spe.convolve)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "0d50df60-7bb7-4f50-8aa0-b5d414c877dc", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Help on method add_baseline in module ramanchada2.spectrum.baseline.add_baseline:\n", + "\n", + "add_baseline(new_spe: ramanchada2.spectrum.spectrum.Spectrum, /, n_freq: int, amplitude: float, pedestal: float = 0, func: Optional[Callable] = None, rng_seed=None) method of ramanchada2.spectrum.spectrum.Spectrum instance\n", + " Add artificial baseline to the spectrum.\n", + " A random baseline is generated in frequency domain using uniform random numbers.\n", + " The baseline in frequency domain is tapered with bohman window to reduce the bandwidth\n", + " of the baseline to first `n_freq` frequencies and is transformed to \"time\" domain.\n", + " Additionaly by using `func` parameter the user can define arbitrary function\n", + " to be added as baseline.\n", + " \n", + " Args:\n", + " n_freq:\n", + " Must be `> 2`. Number of lowest frequency bins distinct from zero.\n", + " amplitude:\n", + " Upper boundary for the uniform random generator.\n", + " pedestal:\n", + " Additive constant pedestal to the spectrum.\n", + " func:\n", + " Callable. User-defined function to be added as baseline. Example: `func = lambda x: x*.01 + x**2*.0001`.\n", + " rng_seed:\n", + " `int`, optional. Seed for the random generator.\n", + "\n" + ] + } + ], + "source": [ + "help(spe.add_baseline)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "871b9b3f-f57b-4735-84c0-2e185ee08985", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Help on method add_poisson_noise in module ramanchada2.spectrum.filters.add_poisson_noise:\n", + "\n", + "add_poisson_noise(new_spe: ramanchada2.spectrum.spectrum.Spectrum, /, scale: float = 1, rng_seed=None) method of ramanchada2.spectrum.spectrum.Spectrum instance\n", + " Add poisson noise to the spectrum.\n", + " \n", + " For each particular sample the noise is proportional to $\\sqrt{scale*a_i}$.\n", + " \n", + " Args:\n", + " old_spe: internal use only\n", + " new_spe: internal use only\n", + " scale:\n", + " `float`, optional, default is `1`. Scale the amplitude of the noise.\n", + " rng_seed:\n", + " `int` or rng state, optional. Seed for the random generator.\n", + " If a state is provided, it is updated in-place.\n", + " \n", + " Returns: modified Spectrum\n", + "\n" + ] + } + ], + "source": [ + "help(spe.add_poisson_noise)" + ] + }, + { + "cell_type": "markdown", + "id": "b84a0aa6-4b46-4393-aef8-fad1d03416ed", + "metadata": { + "tags": [] + }, + "source": [ + "## Interactive example" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "d7a2e49b-6570-4b15-a7f6-b2e5737211c6", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "e3625bacd7874d5ea7201ef68d8c0364", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "interactive(children=(Dropdown(description='lineshape', options=('voigt', 'gaussian', 'lorentzian', 'pvoigt', …" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ipyw.interact(\n", + " convolve,\n", + " lineshape=ipyw.widgets.Dropdown(options=['voigt', 'gaussian', 'lorentzian', 'pvoigt', 'moffat']),\n", + " sigma=ipyw.widgets.FloatSlider(min=1, max=50, value=5),\n", + ")\n", + "None" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "94a17c0c-eb68-4d96-8930-7417e75e0e7c", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "adb6d05f83d44ff4a2775d46a2193096", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "interactive(children=(IntSlider(value=50, description='n_freq', max=500, min=3), FloatSlider(value=10.0, descr…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ipyw.interact(\n", + " add_baseline,\n", + " n_freq=ipyw.widgets.IntSlider(min=3, max=500, value=50),\n", + " a1=ipyw.widgets.FloatSlider(min=-.2, max=.2, value=.0, step=.00001),\n", + " a2=ipyw.widgets.FloatSlider(min=-.0002, max=.0002, value=.0, step=.00001, readout_format='.5f'),\n", + " amplitude=ipyw.widgets.FloatSlider(min=0, max=50, value=10),\n", + " pedestal=ipyw.widgets.FloatSlider(min=1, max=50, value=10),\n", + " rng_seed=ipyw.widgets.IntSlider(min=0, max=999999, value=0)\n", + ")\n", + "None" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "347d7a3a-07c4-47ce-ab56-7ae5cb1c17e6", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b5c12a11bfa74f368a86555e16bb8731", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "interactive(children=(FloatSlider(value=0.01, description='scale', max=2.0), IntSlider(value=0, description='r…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ipyw.interact(\n", + " add_noise,\n", + " scale=ipyw.widgets.FloatSlider(min=0, max=2, value=.01),\n", + " rng_seed=ipyw.widgets.IntSlider(min=0, max=999999, value=0)\n", + ")\n", + "None" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "a741ce77-0f3a-43eb-b397-908559d8feae", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import ramanchada2 as rc2\n", + "spe = rc2.spectrum.from_delta_lines(deltas={500:1e3, 700:1.5e3})\n", + "spe = spe.convolve(lineshape='voigt', sigma=5)\n", + "spe = spe.add_baseline(n_freq=50, amplitude=10, pedestal=10)\n", + "spe = spe.add_poisson_noise(scale=.01)\n", + "spe.plot()" + ] + }, + { + "cell_type": "markdown", + "id": "eaeb037c-684c-4c66-b5d1-2de9f488ab4e", + "metadata": {}, + "source": [ + "## convolution usage" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "b6ecbbe4-b084-45a8-933a-b15cf0ef0ba5", + "metadata": {}, + "outputs": [ + { + "ename": "FileNotFoundError", + "evalue": "[Errno 2] No such file or directory: 'D:\\\\tmp\\\\convolve.png'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[12], line 7\u001b[0m\n\u001b[0;32m 5\u001b[0m spe\u001b[38;5;241m.\u001b[39mconvolve(lineshape\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mlambda\u001b[39;00m x, w: np\u001b[38;5;241m.\u001b[39mexp(\u001b[38;5;241m-\u001b[39m(x\u001b[38;5;241m/\u001b[39mw)\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m2\u001b[39m)\u001b[38;5;241m/\u001b[39m\u001b[38;5;241m20\u001b[39m, w\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m20\u001b[39m)\u001b[38;5;241m.\u001b[39mplot(label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124muser-defined exp(-(x/20)**2)/20\u001b[39m\u001b[38;5;124m'\u001b[39m, ax\u001b[38;5;241m=\u001b[39max[\u001b[38;5;241m1\u001b[39m])\n\u001b[0;32m 6\u001b[0m ax[\u001b[38;5;241m2\u001b[39m]\u001b[38;5;241m.\u001b[39mset_xlabel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mRaman shift [$\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mmathrm\u001b[39m\u001b[38;5;132;01m{cm}\u001b[39;00m\u001b[38;5;124m^\u001b[39m\u001b[38;5;124m{\u001b[39m\u001b[38;5;124m-1}$]\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m----> 7\u001b[0m \u001b[43mfig\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msavefig\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m/tmp/convolve.png\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\matplotlib\\figure.py:3395\u001b[0m, in \u001b[0;36mFigure.savefig\u001b[1;34m(self, fname, transparent, **kwargs)\u001b[0m\n\u001b[0;32m 3393\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m ax \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maxes:\n\u001b[0;32m 3394\u001b[0m _recursively_make_axes_transparent(stack, ax)\n\u001b[1;32m-> 3395\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcanvas\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mprint_figure\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\matplotlib\\backend_bases.py:2204\u001b[0m, in \u001b[0;36mFigureCanvasBase.print_figure\u001b[1;34m(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)\u001b[0m\n\u001b[0;32m 2200\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 2201\u001b[0m \u001b[38;5;66;03m# _get_renderer may change the figure dpi (as vector formats\u001b[39;00m\n\u001b[0;32m 2202\u001b[0m \u001b[38;5;66;03m# force the figure dpi to 72), so we need to set it again here.\u001b[39;00m\n\u001b[0;32m 2203\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m cbook\u001b[38;5;241m.\u001b[39m_setattr_cm(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfigure, dpi\u001b[38;5;241m=\u001b[39mdpi):\n\u001b[1;32m-> 2204\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mprint_method\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 2205\u001b[0m \u001b[43m \u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2206\u001b[0m \u001b[43m \u001b[49m\u001b[43mfacecolor\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfacecolor\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2207\u001b[0m \u001b[43m \u001b[49m\u001b[43medgecolor\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43medgecolor\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2208\u001b[0m \u001b[43m \u001b[49m\u001b[43morientation\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43morientation\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2209\u001b[0m \u001b[43m \u001b[49m\u001b[43mbbox_inches_restore\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m_bbox_inches_restore\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2210\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 2211\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 2212\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m bbox_inches \u001b[38;5;129;01mand\u001b[39;00m restore_bbox:\n", + "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\matplotlib\\backend_bases.py:2054\u001b[0m, in \u001b[0;36mFigureCanvasBase._switch_canvas_and_return_print_method..\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 2050\u001b[0m optional_kws \u001b[38;5;241m=\u001b[39m { \u001b[38;5;66;03m# Passed by print_figure for other renderers.\u001b[39;00m\n\u001b[0;32m 2051\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdpi\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfacecolor\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124medgecolor\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124morientation\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m 2052\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbbox_inches_restore\u001b[39m\u001b[38;5;124m\"\u001b[39m}\n\u001b[0;32m 2053\u001b[0m skip \u001b[38;5;241m=\u001b[39m optional_kws \u001b[38;5;241m-\u001b[39m {\u001b[38;5;241m*\u001b[39minspect\u001b[38;5;241m.\u001b[39msignature(meth)\u001b[38;5;241m.\u001b[39mparameters}\n\u001b[1;32m-> 2054\u001b[0m print_method \u001b[38;5;241m=\u001b[39m functools\u001b[38;5;241m.\u001b[39mwraps(meth)(\u001b[38;5;28;01mlambda\u001b[39;00m \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: \u001b[43mmeth\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 2055\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m{\u001b[49m\u001b[43mk\u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mitems\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mk\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mskip\u001b[49m\u001b[43m}\u001b[49m\u001b[43m)\u001b[49m)\n\u001b[0;32m 2056\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m: \u001b[38;5;66;03m# Let third-parties do as they see fit.\u001b[39;00m\n\u001b[0;32m 2057\u001b[0m print_method \u001b[38;5;241m=\u001b[39m meth\n", + "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\matplotlib\\backends\\backend_agg.py:496\u001b[0m, in \u001b[0;36mFigureCanvasAgg.print_png\u001b[1;34m(self, filename_or_obj, metadata, pil_kwargs)\u001b[0m\n\u001b[0;32m 449\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mprint_png\u001b[39m(\u001b[38;5;28mself\u001b[39m, filename_or_obj, \u001b[38;5;241m*\u001b[39m, metadata\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, pil_kwargs\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[0;32m 450\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 451\u001b[0m \u001b[38;5;124;03m Write the figure to a PNG file.\u001b[39;00m\n\u001b[0;32m 452\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 494\u001b[0m \u001b[38;5;124;03m *metadata*, including the default 'Software' key.\u001b[39;00m\n\u001b[0;32m 495\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 496\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_print_pil\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilename_or_obj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mpng\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpil_kwargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmetadata\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\matplotlib\\backends\\backend_agg.py:445\u001b[0m, in \u001b[0;36mFigureCanvasAgg._print_pil\u001b[1;34m(self, filename_or_obj, fmt, pil_kwargs, metadata)\u001b[0m\n\u001b[0;32m 440\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 441\u001b[0m \u001b[38;5;124;03mDraw the canvas, then save it using `.image.imsave` (to which\u001b[39;00m\n\u001b[0;32m 442\u001b[0m \u001b[38;5;124;03m*pil_kwargs* and *metadata* are forwarded).\u001b[39;00m\n\u001b[0;32m 443\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 444\u001b[0m FigureCanvasAgg\u001b[38;5;241m.\u001b[39mdraw(\u001b[38;5;28mself\u001b[39m)\n\u001b[1;32m--> 445\u001b[0m \u001b[43mmpl\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mimage\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mimsave\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 446\u001b[0m \u001b[43m \u001b[49m\u001b[43mfilename_or_obj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbuffer_rgba\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfmt\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43morigin\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mupper\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 447\u001b[0m \u001b[43m \u001b[49m\u001b[43mdpi\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfigure\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdpi\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmetadata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmetadata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpil_kwargs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpil_kwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\matplotlib\\image.py:1676\u001b[0m, in \u001b[0;36mimsave\u001b[1;34m(fname, arr, vmin, vmax, cmap, format, origin, dpi, metadata, pil_kwargs)\u001b[0m\n\u001b[0;32m 1674\u001b[0m pil_kwargs\u001b[38;5;241m.\u001b[39msetdefault(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mformat\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28mformat\u001b[39m)\n\u001b[0;32m 1675\u001b[0m pil_kwargs\u001b[38;5;241m.\u001b[39msetdefault(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdpi\u001b[39m\u001b[38;5;124m\"\u001b[39m, (dpi, dpi))\n\u001b[1;32m-> 1676\u001b[0m \u001b[43mimage\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msave\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mpil_kwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\PIL\\Image.py:2600\u001b[0m, in \u001b[0;36mImage.save\u001b[1;34m(self, fp, format, **params)\u001b[0m\n\u001b[0;32m 2598\u001b[0m fp \u001b[38;5;241m=\u001b[39m builtins\u001b[38;5;241m.\u001b[39mopen(filename, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mr+b\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 2599\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m-> 2600\u001b[0m fp \u001b[38;5;241m=\u001b[39m builtins\u001b[38;5;241m.\u001b[39mopen(filename, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mw+b\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 2601\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 2602\u001b[0m fp \u001b[38;5;241m=\u001b[39m cast(IO[\u001b[38;5;28mbytes\u001b[39m], fp)\n", + "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'D:\\\\tmp\\\\convolve.png'" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "spe = rc2.spectrum.from_delta_lines(deltas={500:1e3, 700:1.5e3})\n", + "fig, ax = plt.subplots(nrows=3, figsize=(10, 8), sharex=True, tight_layout=True)\n", + "spe.convolve(lineshape='voigt', sigma=3, gamma=5).plot(label=r'voigt$(\\sigma=3, \\gamma=5)$', ax=ax[0])\n", + "spe.convolve(lineshape=np.array([.1]*15+[.4]*15+[1]*15+[0]+[1]*25+[.4]*25+[.1]*25)/23).plot(label='user-defined array', ax=ax[2])\n", + "spe.convolve(lineshape=lambda x, w: np.exp(-(x/w)**2)/20, w=20).plot(label='user-defined exp(-(x/20)**2)/20', ax=ax[1])\n", + "ax[2].set_xlabel('Raman shift [$\\mathrm{cm}^{-1}$]')\n", + "fig.savefig('/tmp/convolve.png')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1d168697-e1f7-43fd-ac82-d8db5080f705", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "fig, ax = plt.subplots(nrows=3, figsize=(10, 8), sharex=True, tight_layout=True)\n", + "speconv = spe.convolve(lineshape='voigt', sigma=3, gamma=5)\n", + "ax[0].set_title('n_freq=50; amplitude=50; fun$(x)=0.006\\,x + 0.0001\\,x^2$')\n", + "speconv.add_baseline(n_freq=50, amplitude=50, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[0])\n", + "speconv.add_baseline(n_freq=50, amplitude=50, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[0])\n", + "speconv.add_baseline(n_freq=50, amplitude=50, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[0])\n", + "#speconv.add_baseline(n_freq=50, amplitude=50, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[0])\n", + "ax[1].set_title('n_freq=150; amplitude=20; fun$(x)=0.006\\,x + 0.0001\\,x^2$')\n", + "speconv.add_baseline(n_freq=150, amplitude=20, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[1])\n", + "speconv.add_baseline(n_freq=150, amplitude=20, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[1])\n", + "speconv.add_baseline(n_freq=150, amplitude=20, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[1])\n", + "#speconv.add_baseline(n_freq=150, amplitude=20, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[1])\n", + "ax[2].set_title('n_freq=20; amplitude=20; fun$(x)=-1.5\\,x + 0.001\\,x^2$')\n", + "\n", + "speconv.add_baseline(n_freq=20, amplitude=20, pedestal=10, func=lambda x: 600-x*1.5 + x**2*.001).plot(ax=ax[2])\n", + "speconv.add_baseline(n_freq=20, amplitude=20, pedestal=10, func=lambda x: 600-x*1.5 + x**2*.001).plot(ax=ax[2])\n", + "speconv.add_baseline(n_freq=20, amplitude=20, pedestal=10, func=lambda x: 600-x*1.5 + x**2*.001).plot(ax=ax[2])\n", + "ax[2].set_xlabel('Raman shift [$\\mathrm{cm}^{-1}$]')\n", + "\n", + "fig.savefig('/tmp/baseline.png')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "629b9ada-5870-4464-a6ab-eeaf2d6869bb", + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots(nrows=3, figsize=(10, 8), sharex=True, tight_layout=True)\n", + "\n", + "spe_baseline = speconv.add_baseline(n_freq=20, amplitude=20, pedestal=10, func=lambda x: 600-x*1.5 + x**2*.001)\n", + "ax[0].set_title('scale=0.01')\n", + "spe_baseline.add_poisson_noise(scale=.01).plot(ax=ax[0], alpha=.8, fmt=':')\n", + "spe_baseline.add_poisson_noise(scale=.01).plot(ax=ax[0], alpha=.8, fmt=':')\n", + "spe_baseline.add_poisson_noise(scale=.01).plot(ax=ax[0], alpha=.8, fmt=':')\n", + "\n", + "ax[1].set_title('scale=0.05')\n", + "spe_baseline.add_poisson_noise(scale=.05).plot(ax=ax[1], alpha=.8, fmt=':')\n", + "spe_baseline.add_poisson_noise(scale=.05).plot(ax=ax[1], alpha=.8, fmt=':')\n", + "spe_baseline.add_poisson_noise(scale=.05).plot(ax=ax[1], alpha=.8, fmt=':')\n", + "\n", + "ax[2].set_title('scale=0.2')\n", + "spe_baseline.add_poisson_noise(scale=.2).plot(ax=ax[2], alpha=.8, fmt=':')\n", + "spe_baseline.add_poisson_noise(scale=.2).plot(ax=ax[2], alpha=.8, fmt=':')\n", + "spe_baseline.add_poisson_noise(scale=.2).plot(ax=ax[2], alpha=.8, fmt=':')\n", + "ax[2].set_xlabel('Raman shift [$\\mathrm{cm}^{-1}$]')\n", + "\n", + "fig.savefig('/tmp/noise.png')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "439b1778-eab9-4f19-9fb7-11efcc911142", + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots(nrows=2, figsize=(10, 8))\n", + "markersize = 2\n", + "\n", + "\n", + "\n", + "\n", + "spe_deltas = rc2.spectrum.from_delta_lines(deltas={800:1e3, 1800:1.5e3, 2500:1e3})\n", + "spe_initial = spe_deltas.resample_NUDFT_filter(xnew_bins=100).convolve(lineshape='voigt', sigma=.1, gamma=1)\n", + "spe_baseline = spe_initial.add_baseline(n_freq=30, amplitude=50, pedestal=10, func=lambda x: x*.05 - .00001*x**2)\n", + "spe_complete = spe_baseline.add_poisson_noise(scale=.5)\n", + "spe_scaled = spe_complete.scale_xaxis_fun(lambda x: x**2*.0001 + x*.22)\n", + "spe_nobaseline = spe_scaled.subtract_moving_minimum(6)\n", + "spe_resampled = spe_nobaseline.resample_NUDFT_filter(xnew_bins=100, x_range=(0, 2500))\n", + "spe_normalized = spe_resampled.normalize()\n", + "\n", + "\n", + "\n", + "spe_initial.plot(ax=ax[0], fmt='.', label='Original', markersize=markersize)\n", + "\n", + "spe_complete.plot(ax=ax[0], fmt='.', label='Baseline + noise', markersize=markersize)\n", + "\n", + "spe_scaled.plot(ax=ax[1], fmt=\".\", markersize=markersize, label='Scaled $xnew = 10^{-4}\\,x^2 + 0.22\\,x$')\n", + "ax[1].legend(loc='upper left')\n", + "spe_normalized.plot(ax=ax[1].twinx(), fmt=\".r\", markersize=markersize, label='mov_min + resampling + normalize')\n", + "fig.savefig('/tmp/xscale_nudft.png')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e81eae4e-6570-4f34-934e-489ea89614a0", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "ramanchada2", + "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": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/sharpening_peak_candidates.ipynb b/examples/sharpening_peak_candidates.ipynb index 80679555..a4a257da 100644 --- a/examples/sharpening_peak_candidates.ipynb +++ b/examples/sharpening_peak_candidates.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "08dc83ca-f176-4390-8a70-505bbe1c01c9", "metadata": {}, "outputs": [], @@ -13,10 +13,34 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "bc5af63c-0127-4010-b78f-281e24a79b07", "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "FileNotFoundError", + "evalue": "[Errno 2] No such file or directory: '/data/RamanSpe/FNMT-Madrid/BWTek_532nm/PST/PST10_iR532_Probe_050_3000msx7.txt'", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\spectrum\\creators\\from_local_file.py:81\u001b[0m, in \u001b[0;36mfrom_local_file\u001b[1;34m(in_file_name, filetype, backend)\u001b[0m\n\u001b[0;32m 80\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m---> 81\u001b[0m spe \u001b[38;5;241m=\u001b[39m \u001b[43mload_native\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 82\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m:\n", + "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\spectrum\\creators\\from_local_file.py:48\u001b[0m, in \u001b[0;36mfrom_local_file..load_native\u001b[1;34m()\u001b[0m\n\u001b[0;32m 47\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ft \u001b[38;5;129;01min\u001b[39;00m {\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtxt\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtxtr\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprn\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrruf\u001b[39m\u001b[38;5;124m'\u001b[39m}:\n\u001b[1;32m---> 48\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43min_file_name\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m fp:\n\u001b[0;32m 49\u001b[0m x, y, meta \u001b[38;5;241m=\u001b[39m read_txt(fp)\n", + "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/data/RamanSpe/FNMT-Madrid/BWTek_532nm/PST/PST10_iR532_Probe_050_3000msx7.txt'", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[2], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m spe \u001b[38;5;241m=\u001b[39m \u001b[43mrc2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mspectrum\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_local_file\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m/data/RamanSpe/FNMT-Madrid/BWTek_532nm/PST/PST10_iR532_Probe_050_3000msx7.txt\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mnormalize()\n", + "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\misc\\spectrum_deco\\spectrum_constructor.py:15\u001b[0m, in \u001b[0;36madd_spectrum_constructor.__call__..retf\u001b[1;34m(cachefile_, *args, **kwargs)\u001b[0m\n\u001b[0;32m 13\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(fun)\n\u001b[0;32m 14\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mretf\u001b[39m(\u001b[38;5;241m*\u001b[39margs, cachefile_\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Spectrum:\n\u001b[1;32m---> 15\u001b[0m spe \u001b[38;5;241m=\u001b[39m \u001b[43mfun\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 16\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mset_proc:\n\u001b[0;32m 17\u001b[0m spe\u001b[38;5;241m.\u001b[39m_applied_processings\u001b[38;5;241m.\u001b[39massign(proc\u001b[38;5;241m=\u001b[39mfun\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m, args\u001b[38;5;241m=\u001b[39margs, kwargs\u001b[38;5;241m=\u001b[39mkwargs)\n", + "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\pydantic\\validate_call_decorator.py:60\u001b[0m, in \u001b[0;36mvalidate_call..validate..wrapper_function\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 58\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mwraps(function)\n\u001b[0;32m 59\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwrapper_function\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m---> 60\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mvalidate_call_wrapper\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\pydantic\\_internal\\_validate_call.py:96\u001b[0m, in \u001b[0;36mValidateCallWrapper.__call__\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 95\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs: Any, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: Any) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Any:\n\u001b[1;32m---> 96\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m__pydantic_validator__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalidate_python\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpydantic_core\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mArgsKwargs\u001b[49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 97\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__return_pydantic_validator__:\n\u001b[0;32m 98\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__return_pydantic_validator__(res)\n", + "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\spectrum\\creators\\from_local_file.py:83\u001b[0m, in \u001b[0;36mfrom_local_file\u001b[1;34m(in_file_name, filetype, backend)\u001b[0m\n\u001b[0;32m 81\u001b[0m spe \u001b[38;5;241m=\u001b[39m load_native()\n\u001b[0;32m 82\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m:\n\u001b[1;32m---> 83\u001b[0m spe \u001b[38;5;241m=\u001b[39m \u001b[43mload_rc1\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 84\u001b[0m spe\u001b[38;5;241m.\u001b[39m_sort_x()\n\u001b[0;32m 85\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m spe\n", + "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\spectrum\\creators\\from_local_file.py:71\u001b[0m, in \u001b[0;36mfrom_local_file..load_rc1\u001b[1;34m()\u001b[0m\n\u001b[0;32m 70\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mload_rc1\u001b[39m():\n\u001b[1;32m---> 71\u001b[0m x, y, meta \u001b[38;5;241m=\u001b[39m \u001b[43mrc1_parser\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mparse\u001b[49m\u001b[43m(\u001b[49m\u001b[43min_file_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfiletype\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 72\u001b[0m spe \u001b[38;5;241m=\u001b[39m Spectrum(x\u001b[38;5;241m=\u001b[39mx, y\u001b[38;5;241m=\u001b[39my, metadata\u001b[38;5;241m=\u001b[39mSpeMetadataModel\u001b[38;5;241m.\u001b[39mmodel_validate(meta))\n\u001b[0;32m 73\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m spe\n", + "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\io\\experimental\\rc1_parser\\io.py:36\u001b[0m, in \u001b[0;36mparse\u001b[1;34m(source_path, file_type)\u001b[0m\n\u001b[0;32m 31\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 32\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m UnsupportedFileTypeError(\n\u001b[0;32m 33\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfile type \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfile_type\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m is not supported\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m 34\u001b[0m )\n\u001b[1;32m---> 36\u001b[0m x_data, y_data, metadata \u001b[38;5;241m=\u001b[39m \u001b[43mreader\u001b[49m\u001b[43m(\u001b[49m\u001b[43msource_path\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 37\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m metadata \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m 38\u001b[0m \u001b[38;5;66;03m# Get rid of bytes that are found in some of the formats\u001b[39;00m\n\u001b[0;32m 39\u001b[0m metadata \u001b[38;5;241m=\u001b[39m cleanMeta(metadata)\n", + "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\io\\experimental\\rc1_parser\\txt_format_readers.py:48\u001b[0m, in \u001b[0;36mreadTXT\u001b[1;34m(file, x_col, y_col, verbose)\u001b[0m\n\u001b[0;32m 46\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mreadTXT\u001b[39m(file, x_col\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, y_col\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, verbose\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m):\n\u001b[0;32m 47\u001b[0m \u001b[38;5;66;03m# open .txt and read as lines\u001b[39;00m\n\u001b[1;32m---> 48\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mfile\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m d:\n\u001b[0;32m 49\u001b[0m lines \u001b[38;5;241m=\u001b[39m d\u001b[38;5;241m.\u001b[39mreadlines()\n\u001b[0;32m 50\u001b[0m \u001b[38;5;66;03m# Find data lines and convert to np.array\u001b[39;00m\n", + "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/data/RamanSpe/FNMT-Madrid/BWTek_532nm/PST/PST10_iR532_Probe_050_3000msx7.txt'" + ] + } + ], "source": [ "spe = rc2.spectrum.from_local_file('/data/RamanSpe/FNMT-Madrid/BWTek_532nm/PST/PST10_iR532_Probe_050_3000msx7.txt').normalize()" ] @@ -107,7 +131,7 @@ "kernelspec": { "display_name": "ramanchada2", "language": "python", - "name": "ramanchada2" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -119,7 +143,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.11" + "version": "3.11.10" } }, "nbformat": 4, diff --git a/examples/synthetic-spectrum-generation.ipynb b/examples/synthetic-spectrum-generation.ipynb deleted file mode 100644 index e658b42e..00000000 --- a/examples/synthetic-spectrum-generation.ipynb +++ /dev/null @@ -1,327 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "06e5a61f-2bcb-4f7e-ae93-927c85f4e6b7", - "metadata": {}, - "source": [ - "# Generate synthetic spectra using ramanchada2" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0802b101-9ac3-4462-95b1-eb5b40cd563e", - "metadata": {}, - "outputs": [], - "source": [ - "import ramanchada2 as rc2\n", - "import ipywidgets as ipyw\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", - "spe_tmp = {'orig': rc2.spectrum.from_delta_lines(deltas={500:1e3, 900:1.5e3})}\n", - "def convolve(lineshape, sigma):\n", - " spe_tmp['convolved'] = spe_tmp['orig'].convolve(lineshape=lineshape, sigma=sigma)\n", - " spe_tmp['convolved'].plot()\n", - "def add_baseline(n_freq, amplitude, pedestal, rng_seed, a1, a2):\n", - " spe_tmp['baseline'] = spe_tmp['convolved'].add_baseline(n_freq=n_freq, amplitude=amplitude, pedestal=pedestal, rng_seed=rng_seed, func=lambda x: x*a1 + x**2*a2)\n", - " spe_tmp['baseline'].plot()\n", - "def add_noise(scale, rng_seed):\n", - " spe_tmp['noise'] = spe_tmp['baseline'].add_poisson_noise(scale=scale, rng_seed=rng_seed)\n", - " spe_tmp['noise'].plot()" - ] - }, - { - "cell_type": "markdown", - "id": "a8362c6e-8650-495c-abbc-5d1c6b050ac1", - "metadata": {}, - "source": [ - "## end-to-end example" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "db41058b-aab7-4238-82a7-247975885bbf", - "metadata": {}, - "outputs": [], - "source": [ - "for sigma in [10, 20, 30]:\n", - " spe = rc2.spectrum.from_delta_lines(deltas={500:1e3, 700:1.5e3})\n", - " spe = spe.convolve(lineshape='voigt', sigma=sigma, gamma=3)\n", - " spe = spe.add_baseline(n_freq=50, amplitude=10, pedestal=10, func=lambda x: x*.006 + x**2*.00001)\n", - " spe = spe.add_poisson_noise(scale=.01)\n", - " spe.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "a8182afd-f8f3-4687-9f34-0dfbed53ad87", - "metadata": {}, - "source": [ - "## documentation of the methods" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "fb27d8b6-a798-4941-8541-d7a18da310c6", - "metadata": {}, - "outputs": [], - "source": [ - "help(rc2.spectrum.from_delta_lines)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "da7d0dad-e704-433a-992f-64fc27922c01", - "metadata": {}, - "outputs": [], - "source": [ - "help(spe.convolve)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "0d50df60-7bb7-4f50-8aa0-b5d414c877dc", - "metadata": {}, - "outputs": [], - "source": [ - "help(spe.add_baseline)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "871b9b3f-f57b-4735-84c0-2e185ee08985", - "metadata": {}, - "outputs": [], - "source": [ - "help(spe.add_poisson_noise)" - ] - }, - { - "cell_type": "markdown", - "id": "b84a0aa6-4b46-4393-aef8-fad1d03416ed", - "metadata": { - "tags": [] - }, - "source": [ - "## Interactive example" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d7a2e49b-6570-4b15-a7f6-b2e5737211c6", - "metadata": {}, - "outputs": [], - "source": [ - "ipyw.interact(\n", - " convolve,\n", - " lineshape=ipyw.widgets.Dropdown(options=['voigt', 'gaussian', 'lorentzian', 'pvoigt', 'moffat']),\n", - " sigma=ipyw.widgets.FloatSlider(min=1, max=50, value=5),\n", - ")\n", - "None" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "94a17c0c-eb68-4d96-8930-7417e75e0e7c", - "metadata": {}, - "outputs": [], - "source": [ - "ipyw.interact(\n", - " add_baseline,\n", - " n_freq=ipyw.widgets.IntSlider(min=3, max=500, value=50),\n", - " a1=ipyw.widgets.FloatSlider(min=-.2, max=.2, value=.0, step=.00001),\n", - " a2=ipyw.widgets.FloatSlider(min=-.0002, max=.0002, value=.0, step=.00001, readout_format='.5f'),\n", - " amplitude=ipyw.widgets.FloatSlider(min=0, max=50, value=10),\n", - " pedestal=ipyw.widgets.FloatSlider(min=1, max=50, value=10),\n", - " rng_seed=ipyw.widgets.IntSlider(min=0, max=999999, value=0)\n", - ")\n", - "None" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "347d7a3a-07c4-47ce-ab56-7ae5cb1c17e6", - "metadata": {}, - "outputs": [], - "source": [ - "ipyw.interact(\n", - " add_noise,\n", - " scale=ipyw.widgets.FloatSlider(min=0, max=2, value=.01),\n", - " rng_seed=ipyw.widgets.IntSlider(min=0, max=999999, value=0)\n", - ")\n", - "None" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a741ce77-0f3a-43eb-b397-908559d8feae", - "metadata": {}, - "outputs": [], - "source": [ - "import ramanchada2 as rc2\n", - "spe = rc2.spectrum.from_delta_lines(deltas={500:1e3, 700:1.5e3})\n", - "spe = spe.convolve(lineshape='voigt', sigma=5)\n", - "spe = spe.add_baseline(n_freq=50, amplitude=10, pedestal=10)\n", - "spe = spe.add_poisson_noise(scale=.01)\n", - "spe.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "eaeb037c-684c-4c66-b5d1-2de9f488ab4e", - "metadata": {}, - "source": [ - "## convolution usage" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b6ecbbe4-b084-45a8-933a-b15cf0ef0ba5", - "metadata": {}, - "outputs": [], - "source": [ - "spe = rc2.spectrum.from_delta_lines(deltas={500:1e3, 700:1.5e3})\n", - "fig, ax = plt.subplots(nrows=3, figsize=(10, 8), sharex=True, tight_layout=True)\n", - "spe.convolve(lineshape='voigt', sigma=3, gamma=5).plot(label=r'voigt$(\\sigma=3, \\gamma=5)$', ax=ax[0])\n", - "spe.convolve(lineshape=np.array([.1]*15+[.4]*15+[1]*15+[0]+[1]*25+[.4]*25+[.1]*25)/23).plot(label='user-defined array', ax=ax[2])\n", - "spe.convolve(lineshape=lambda x, w: np.exp(-(x/w)**2)/20, w=20).plot(label='user-defined exp(-(x/20)**2)/20', ax=ax[1])\n", - "ax[2].set_xlabel('Raman shift [$\\mathrm{cm}^{-1}$]')\n", - "fig.savefig('/tmp/convolve.png')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1d168697-e1f7-43fd-ac82-d8db5080f705", - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "fig, ax = plt.subplots(nrows=3, figsize=(10, 8), sharex=True, tight_layout=True)\n", - "speconv = spe.convolve(lineshape='voigt', sigma=3, gamma=5)\n", - "ax[0].set_title('n_freq=50; amplitude=50; fun$(x)=0.006\\,x + 0.0001\\,x^2$')\n", - "speconv.add_baseline(n_freq=50, amplitude=50, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[0])\n", - "speconv.add_baseline(n_freq=50, amplitude=50, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[0])\n", - "speconv.add_baseline(n_freq=50, amplitude=50, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[0])\n", - "#speconv.add_baseline(n_freq=50, amplitude=50, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[0])\n", - "ax[1].set_title('n_freq=150; amplitude=20; fun$(x)=0.006\\,x + 0.0001\\,x^2$')\n", - "speconv.add_baseline(n_freq=150, amplitude=20, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[1])\n", - "speconv.add_baseline(n_freq=150, amplitude=20, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[1])\n", - "speconv.add_baseline(n_freq=150, amplitude=20, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[1])\n", - "#speconv.add_baseline(n_freq=150, amplitude=20, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[1])\n", - "ax[2].set_title('n_freq=20; amplitude=20; fun$(x)=-1.5\\,x + 0.001\\,x^2$')\n", - "\n", - "speconv.add_baseline(n_freq=20, amplitude=20, pedestal=10, func=lambda x: 600-x*1.5 + x**2*.001).plot(ax=ax[2])\n", - "speconv.add_baseline(n_freq=20, amplitude=20, pedestal=10, func=lambda x: 600-x*1.5 + x**2*.001).plot(ax=ax[2])\n", - "speconv.add_baseline(n_freq=20, amplitude=20, pedestal=10, func=lambda x: 600-x*1.5 + x**2*.001).plot(ax=ax[2])\n", - "ax[2].set_xlabel('Raman shift [$\\mathrm{cm}^{-1}$]')\n", - "\n", - "fig.savefig('/tmp/baseline.png')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "629b9ada-5870-4464-a6ab-eeaf2d6869bb", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots(nrows=3, figsize=(10, 8), sharex=True, tight_layout=True)\n", - "\n", - "spe_baseline = speconv.add_baseline(n_freq=20, amplitude=20, pedestal=10, func=lambda x: 600-x*1.5 + x**2*.001)\n", - "ax[0].set_title('scale=0.01')\n", - "spe_baseline.add_poisson_noise(scale=.01).plot(ax=ax[0], alpha=.8, fmt=':')\n", - "spe_baseline.add_poisson_noise(scale=.01).plot(ax=ax[0], alpha=.8, fmt=':')\n", - "spe_baseline.add_poisson_noise(scale=.01).plot(ax=ax[0], alpha=.8, fmt=':')\n", - "\n", - "ax[1].set_title('scale=0.05')\n", - "spe_baseline.add_poisson_noise(scale=.05).plot(ax=ax[1], alpha=.8, fmt=':')\n", - "spe_baseline.add_poisson_noise(scale=.05).plot(ax=ax[1], alpha=.8, fmt=':')\n", - "spe_baseline.add_poisson_noise(scale=.05).plot(ax=ax[1], alpha=.8, fmt=':')\n", - "\n", - "ax[2].set_title('scale=0.2')\n", - "spe_baseline.add_poisson_noise(scale=.2).plot(ax=ax[2], alpha=.8, fmt=':')\n", - "spe_baseline.add_poisson_noise(scale=.2).plot(ax=ax[2], alpha=.8, fmt=':')\n", - "spe_baseline.add_poisson_noise(scale=.2).plot(ax=ax[2], alpha=.8, fmt=':')\n", - "ax[2].set_xlabel('Raman shift [$\\mathrm{cm}^{-1}$]')\n", - "\n", - "fig.savefig('/tmp/noise.png')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "439b1778-eab9-4f19-9fb7-11efcc911142", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots(nrows=2, figsize=(10, 8))\n", - "markersize = 2\n", - "\n", - "\n", - "\n", - "\n", - "spe_deltas = rc2.spectrum.from_delta_lines(deltas={800:1e3, 1800:1.5e3, 2500:1e3})\n", - "spe_initial = spe_deltas.resample_NUDFT_filter(xnew_bins=100).convolve(lineshape='voigt', sigma=.1, gamma=1)\n", - "spe_baseline = spe_initial.add_baseline(n_freq=30, amplitude=50, pedestal=10, func=lambda x: x*.05 - .00001*x**2)\n", - "spe_complete = spe_baseline.add_poisson_noise(scale=.5)\n", - "spe_scaled = spe_complete.scale_xaxis_fun(lambda x: x**2*.0001 + x*.22)\n", - "spe_nobaseline = spe_scaled.subtract_moving_minimum(6)\n", - "spe_resampled = spe_nobaseline.resample_NUDFT_filter(xnew_bins=100, x_range=(0, 2500))\n", - "spe_normalized = spe_resampled.normalize()\n", - "\n", - "\n", - "\n", - "spe_initial.plot(ax=ax[0], fmt='.', label='Original', markersize=markersize)\n", - "\n", - "spe_complete.plot(ax=ax[0], fmt='.', label='Baseline + noise', markersize=markersize)\n", - "\n", - "spe_scaled.plot(ax=ax[1], fmt=\".\", markersize=markersize, label='Scaled $xnew = 10^{-4}\\,x^2 + 0.22\\,x$')\n", - "ax[1].legend(loc='upper left')\n", - "spe_normalized.plot(ax=ax[1].twinx(), fmt=\".r\", markersize=markersize, label='mov_min + resampling + normalize')\n", - "fig.savefig('/tmp/xscale_nudft.png')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e81eae4e-6570-4f34-934e-489ea89614a0", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "ramanchada2", - "language": "python", - "name": "ramanchada2" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.11" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} From c48bd4e8a4b7e576d408c9554dff9aa2c7532271 Mon Sep 17 00:00:00 2001 From: vedina Date: Sun, 3 Nov 2024 15:04:36 +0200 Subject: [PATCH 35/38] clean output from notebooks except publication ones --- examples/legacy/D3.3_calibration.ipynb | 148 +- examples/legacy/fit_spe_illustration.ipynb | 32 +- .../legacy/neon_calibration_xcal_fine.ipynb | 32 +- examples/legacy/nexusformat.ipynb | 33 +- examples/legacy/resample_NUDFT.ipynb | 16 +- .../legacy/sharpening_peak_candidates.ipynb | 127 ++ examples/legacy/x-axis-calibration.ipynb | 119 +- examples/publication/HDF5_cache.ipynb | 10 +- ...imulation_experiment_comparison_demo.ipynb | 486 +---- .../synthetic-spectrum-generation copy.ipynb | 561 ------ .../synthetic-spectrum-generation.ipynb | 40 +- examples/sharpening_peak_candidates.ipynb | 151 -- examples/simulation-to-spectrum.ipynb | 88 - ...imulation_experiment_comparison_demo.ipynb | 134 -- ...ingle-photon-response-calibration-GG.ipynb | 138 +- ...ingle-photon-response-calibration-LT.ipynb | 114 +- examples/synthetic_spe_superposition.ipynb | 112 +- examples/test_nico.ipynb | 1775 ----------------- 18 files changed, 526 insertions(+), 3590 deletions(-) create mode 100644 examples/legacy/sharpening_peak_candidates.ipynb delete mode 100644 examples/publication/synthetic-spectrum-generation copy.ipynb delete mode 100644 examples/sharpening_peak_candidates.ipynb delete mode 100644 examples/simulation-to-spectrum.ipynb delete mode 100644 examples/simulation_experiment_comparison_demo.ipynb delete mode 100644 examples/test_nico.ipynb diff --git a/examples/legacy/D3.3_calibration.ipynb b/examples/legacy/D3.3_calibration.ipynb index d493216c..b6720083 100644 --- a/examples/legacy/D3.3_calibration.ipynb +++ b/examples/legacy/D3.3_calibration.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "873d5265-f8a3-444e-80b7-7d674ed3d716", "metadata": {}, "outputs": [], @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "48ab4e56-5811-4310-b17c-5bb780dba13e", "metadata": {}, "outputs": [], @@ -30,7 +30,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "63422365-b050-49a3-9445-731da7c9b1a1", "metadata": {}, "outputs": [], @@ -51,21 +51,10 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "77079c03-3b43-4189-bdfe-b395519b5aca", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "spe_neon_wl = spe_neon.shift_cm_1_to_abs_nm_filter(laser_wave_length_nm=laser_wl)\n", "\n", @@ -80,31 +69,10 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "dc53033d-482c-42bc-975c-a9a63a969e19", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "spe_sil_necal = spe_sil.__copy__()\n", "spe_sil_necal.x = spe_neon_calib.x\n", @@ -117,31 +85,10 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "f9effec0-642d-47a1-9865-348807840bab", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "spe_pst_silcal = spe_pst.__copy__()\n", "spe_pst_silcal.x = spe_sil_calib.x\n", @@ -154,7 +101,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "03d7ef86-a8dd-4792-9e18-1767dc24e330", "metadata": {}, "outputs": [], @@ -166,31 +113,10 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "25edc037-6719-4554-adf3-3a9a9cd48e89", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(300.0, 1000.0)" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "cand = spe_nCal_calib.find_peak_multipeak(prominence=spe_pst_calib.y_noise*10, wlen=300, width=1)\n", "\n", @@ -202,31 +128,10 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "id": "2bdbd630-4b16-4a99-8c40-f1cdbb169a09", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(300.0, 1000.0)" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "init_guess = spe_nCal_calib.fit_peak_multimodel(profile='Moffat', candidates=cand, no_fit=True)\n", "fig, ax = plt.subplots()\n", @@ -237,31 +142,10 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "9837bde6-d863-41a6-bc93-858d54639372", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(300.0, 1000.0)" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fit_res = spe_nCal_calib.fit_peak_multimodel(profile='Moffat', candidates=cand)\n", "fig, ax = plt.subplots()\n", diff --git a/examples/legacy/fit_spe_illustration.ipynb b/examples/legacy/fit_spe_illustration.ipynb index dc4c6b11..8c8ecbe9 100644 --- a/examples/legacy/fit_spe_illustration.ipynb +++ b/examples/legacy/fit_spe_illustration.ipynb @@ -12,7 +12,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "4786355d-0a38-4455-be9e-88d44b27ee31", "metadata": {}, "outputs": [], @@ -30,7 +30,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "f69d0997-504d-4a03-a5f7-7a6380e11829", "metadata": {}, "outputs": [], @@ -51,36 +51,12 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "id": "b4a0124e-1e49-458a-b41c-1fc69cfd578a", "metadata": { "tags": [] }, - "outputs": [ - { - "ename": "FileNotFoundError", - "evalue": "[Errno 2] No such file or directory: '/data/RamanSpe/ICV-CSIC/iRPlus/785 nm/nCAL/nCAL02_iRPlus785_Z050_100_2100ms.txt'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", - "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\spectrum\\creators\\from_local_file.py:81\u001b[0m, in \u001b[0;36mfrom_local_file\u001b[1;34m(in_file_name, filetype, backend)\u001b[0m\n\u001b[0;32m 80\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m---> 81\u001b[0m spe \u001b[38;5;241m=\u001b[39m \u001b[43mload_native\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 82\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m:\n", - "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\spectrum\\creators\\from_local_file.py:48\u001b[0m, in \u001b[0;36mfrom_local_file..load_native\u001b[1;34m()\u001b[0m\n\u001b[0;32m 47\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ft \u001b[38;5;129;01min\u001b[39;00m {\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtxt\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtxtr\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprn\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrruf\u001b[39m\u001b[38;5;124m'\u001b[39m}:\n\u001b[1;32m---> 48\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43min_file_name\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m fp:\n\u001b[0;32m 49\u001b[0m x, y, meta \u001b[38;5;241m=\u001b[39m read_txt(fp)\n", - "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/data/RamanSpe/ICV-CSIC/iRPlus/785 nm/nCAL/nCAL02_iRPlus785_Z050_100_2100ms.txt'", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[6], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m spe \u001b[38;5;241m=\u001b[39m \u001b[43mspectrum\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_local_file\u001b[49m\u001b[43m(\u001b[49m\u001b[43mexp_spe_fn\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 2\u001b[0m spe \u001b[38;5;241m=\u001b[39m spe\u001b[38;5;241m.\u001b[39mnormalize()\n\u001b[0;32m 3\u001b[0m fig, ax \u001b[38;5;241m=\u001b[39m plt_fig_ax()\n", - "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\misc\\spectrum_deco\\spectrum_constructor.py:15\u001b[0m, in \u001b[0;36madd_spectrum_constructor.__call__..retf\u001b[1;34m(cachefile_, *args, **kwargs)\u001b[0m\n\u001b[0;32m 13\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(fun)\n\u001b[0;32m 14\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mretf\u001b[39m(\u001b[38;5;241m*\u001b[39margs, cachefile_\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Spectrum:\n\u001b[1;32m---> 15\u001b[0m spe \u001b[38;5;241m=\u001b[39m \u001b[43mfun\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 16\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mset_proc:\n\u001b[0;32m 17\u001b[0m spe\u001b[38;5;241m.\u001b[39m_applied_processings\u001b[38;5;241m.\u001b[39massign(proc\u001b[38;5;241m=\u001b[39mfun\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m, args\u001b[38;5;241m=\u001b[39margs, kwargs\u001b[38;5;241m=\u001b[39mkwargs)\n", - "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\pydantic\\validate_call_decorator.py:60\u001b[0m, in \u001b[0;36mvalidate_call..validate..wrapper_function\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 58\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mwraps(function)\n\u001b[0;32m 59\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwrapper_function\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m---> 60\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mvalidate_call_wrapper\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\pydantic\\_internal\\_validate_call.py:96\u001b[0m, in \u001b[0;36mValidateCallWrapper.__call__\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 95\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs: Any, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: Any) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Any:\n\u001b[1;32m---> 96\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m__pydantic_validator__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalidate_python\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpydantic_core\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mArgsKwargs\u001b[49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 97\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__return_pydantic_validator__:\n\u001b[0;32m 98\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__return_pydantic_validator__(res)\n", - "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\spectrum\\creators\\from_local_file.py:83\u001b[0m, in \u001b[0;36mfrom_local_file\u001b[1;34m(in_file_name, filetype, backend)\u001b[0m\n\u001b[0;32m 81\u001b[0m spe \u001b[38;5;241m=\u001b[39m load_native()\n\u001b[0;32m 82\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m:\n\u001b[1;32m---> 83\u001b[0m spe \u001b[38;5;241m=\u001b[39m \u001b[43mload_rc1\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 84\u001b[0m spe\u001b[38;5;241m.\u001b[39m_sort_x()\n\u001b[0;32m 85\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m spe\n", - "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\spectrum\\creators\\from_local_file.py:71\u001b[0m, in \u001b[0;36mfrom_local_file..load_rc1\u001b[1;34m()\u001b[0m\n\u001b[0;32m 70\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mload_rc1\u001b[39m():\n\u001b[1;32m---> 71\u001b[0m x, y, meta \u001b[38;5;241m=\u001b[39m \u001b[43mrc1_parser\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mparse\u001b[49m\u001b[43m(\u001b[49m\u001b[43min_file_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfiletype\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 72\u001b[0m spe \u001b[38;5;241m=\u001b[39m Spectrum(x\u001b[38;5;241m=\u001b[39mx, y\u001b[38;5;241m=\u001b[39my, metadata\u001b[38;5;241m=\u001b[39mSpeMetadataModel\u001b[38;5;241m.\u001b[39mmodel_validate(meta))\n\u001b[0;32m 73\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m spe\n", - "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\io\\experimental\\rc1_parser\\io.py:36\u001b[0m, in \u001b[0;36mparse\u001b[1;34m(source_path, file_type)\u001b[0m\n\u001b[0;32m 31\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 32\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m UnsupportedFileTypeError(\n\u001b[0;32m 33\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfile type \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfile_type\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m is not supported\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m 34\u001b[0m )\n\u001b[1;32m---> 36\u001b[0m x_data, y_data, metadata \u001b[38;5;241m=\u001b[39m \u001b[43mreader\u001b[49m\u001b[43m(\u001b[49m\u001b[43msource_path\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 37\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m metadata \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m 38\u001b[0m \u001b[38;5;66;03m# Get rid of bytes that are found in some of the formats\u001b[39;00m\n\u001b[0;32m 39\u001b[0m metadata \u001b[38;5;241m=\u001b[39m cleanMeta(metadata)\n", - "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\io\\experimental\\rc1_parser\\txt_format_readers.py:48\u001b[0m, in \u001b[0;36mreadTXT\u001b[1;34m(file, x_col, y_col, verbose)\u001b[0m\n\u001b[0;32m 46\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mreadTXT\u001b[39m(file, x_col\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, y_col\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, verbose\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m):\n\u001b[0;32m 47\u001b[0m \u001b[38;5;66;03m# open .txt and read as lines\u001b[39;00m\n\u001b[1;32m---> 48\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mfile\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m d:\n\u001b[0;32m 49\u001b[0m lines \u001b[38;5;241m=\u001b[39m d\u001b[38;5;241m.\u001b[39mreadlines()\n\u001b[0;32m 50\u001b[0m \u001b[38;5;66;03m# Find data lines and convert to np.array\u001b[39;00m\n", - "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/data/RamanSpe/ICV-CSIC/iRPlus/785 nm/nCAL/nCAL02_iRPlus785_Z050_100_2100ms.txt'" - ] - } - ], + "outputs": [], "source": [ "spe = spectrum.from_local_file(exp_spe_fn)\n", "spe = spe.normalize()\n", diff --git a/examples/legacy/neon_calibration_xcal_fine.ipynb b/examples/legacy/neon_calibration_xcal_fine.ipynb index e2dd7fad..c1b369b1 100644 --- a/examples/legacy/neon_calibration_xcal_fine.ipynb +++ b/examples/legacy/neon_calibration_xcal_fine.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "51ac466b-8823-4bfb-8c3d-d2d28ea9ce4d", "metadata": {}, "outputs": [], @@ -16,7 +16,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "f21a6319-405e-4211-b97a-95b098b7d13d", "metadata": {}, "outputs": [], @@ -38,34 +38,10 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "id": "b1bbe125-d2bb-47d5-9aeb-f37812b24a8e", "metadata": {}, - "outputs": [ - { - "ename": "FileNotFoundError", - "evalue": "[Errno 2] No such file or directory: 'data/2 - Full Data sets/FMNT-M_Ho785/NeonSNQ043_iR785_OP03.txt'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", - "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\spectrum\\creators\\from_local_file.py:81\u001b[0m, in \u001b[0;36mfrom_local_file\u001b[1;34m(in_file_name, filetype, backend)\u001b[0m\n\u001b[0;32m 80\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m---> 81\u001b[0m spe \u001b[38;5;241m=\u001b[39m \u001b[43mload_native\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 82\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m:\n", - "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\spectrum\\creators\\from_local_file.py:48\u001b[0m, in \u001b[0;36mfrom_local_file..load_native\u001b[1;34m()\u001b[0m\n\u001b[0;32m 47\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ft \u001b[38;5;129;01min\u001b[39;00m {\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtxt\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtxtr\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprn\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrruf\u001b[39m\u001b[38;5;124m'\u001b[39m}:\n\u001b[1;32m---> 48\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43min_file_name\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m fp:\n\u001b[0;32m 49\u001b[0m x, y, meta \u001b[38;5;241m=\u001b[39m read_txt(fp)\n", - "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'data/2 - Full Data sets/FMNT-M_Ho785/NeonSNQ043_iR785_OP03.txt'", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[3], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m spe_nocalib \u001b[38;5;241m=\u001b[39m \u001b[43mrc2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mspectrum\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_local_file\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mdata/2 - Full Data sets/FMNT-M_Ho785/NeonSNQ043_iR785_OP03.txt\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfiletype\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mtxt\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\misc\\spectrum_deco\\spectrum_constructor.py:15\u001b[0m, in \u001b[0;36madd_spectrum_constructor.__call__..retf\u001b[1;34m(cachefile_, *args, **kwargs)\u001b[0m\n\u001b[0;32m 13\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(fun)\n\u001b[0;32m 14\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mretf\u001b[39m(\u001b[38;5;241m*\u001b[39margs, cachefile_\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Spectrum:\n\u001b[1;32m---> 15\u001b[0m spe \u001b[38;5;241m=\u001b[39m \u001b[43mfun\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 16\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mset_proc:\n\u001b[0;32m 17\u001b[0m spe\u001b[38;5;241m.\u001b[39m_applied_processings\u001b[38;5;241m.\u001b[39massign(proc\u001b[38;5;241m=\u001b[39mfun\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m, args\u001b[38;5;241m=\u001b[39margs, kwargs\u001b[38;5;241m=\u001b[39mkwargs)\n", - "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\pydantic\\validate_call_decorator.py:60\u001b[0m, in \u001b[0;36mvalidate_call..validate..wrapper_function\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 58\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mwraps(function)\n\u001b[0;32m 59\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwrapper_function\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m---> 60\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mvalidate_call_wrapper\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\pydantic\\_internal\\_validate_call.py:96\u001b[0m, in \u001b[0;36mValidateCallWrapper.__call__\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 95\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs: Any, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: Any) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Any:\n\u001b[1;32m---> 96\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__pydantic_validator__\u001b[38;5;241m.\u001b[39mvalidate_python(pydantic_core\u001b[38;5;241m.\u001b[39mArgsKwargs(args, kwargs))\n\u001b[0;32m 97\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__return_pydantic_validator__:\n\u001b[0;32m 98\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__return_pydantic_validator__(res)\n", - "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\spectrum\\creators\\from_local_file.py:83\u001b[0m, in \u001b[0;36mfrom_local_file\u001b[1;34m(in_file_name, filetype, backend)\u001b[0m\n\u001b[0;32m 81\u001b[0m spe \u001b[38;5;241m=\u001b[39m load_native()\n\u001b[0;32m 82\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m:\n\u001b[1;32m---> 83\u001b[0m spe \u001b[38;5;241m=\u001b[39m \u001b[43mload_rc1\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 84\u001b[0m spe\u001b[38;5;241m.\u001b[39m_sort_x()\n\u001b[0;32m 85\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m spe\n", - "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\spectrum\\creators\\from_local_file.py:71\u001b[0m, in \u001b[0;36mfrom_local_file..load_rc1\u001b[1;34m()\u001b[0m\n\u001b[0;32m 70\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mload_rc1\u001b[39m():\n\u001b[1;32m---> 71\u001b[0m x, y, meta \u001b[38;5;241m=\u001b[39m \u001b[43mrc1_parser\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mparse\u001b[49m\u001b[43m(\u001b[49m\u001b[43min_file_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfiletype\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 72\u001b[0m spe \u001b[38;5;241m=\u001b[39m Spectrum(x\u001b[38;5;241m=\u001b[39mx, y\u001b[38;5;241m=\u001b[39my, metadata\u001b[38;5;241m=\u001b[39mSpeMetadataModel\u001b[38;5;241m.\u001b[39mmodel_validate(meta))\n\u001b[0;32m 73\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m spe\n", - "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\io\\experimental\\rc1_parser\\io.py:36\u001b[0m, in \u001b[0;36mparse\u001b[1;34m(source_path, file_type)\u001b[0m\n\u001b[0;32m 31\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 32\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m UnsupportedFileTypeError(\n\u001b[0;32m 33\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfile type \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfile_type\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m is not supported\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m 34\u001b[0m )\n\u001b[1;32m---> 36\u001b[0m x_data, y_data, metadata \u001b[38;5;241m=\u001b[39m \u001b[43mreader\u001b[49m\u001b[43m(\u001b[49m\u001b[43msource_path\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 37\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m metadata \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m 38\u001b[0m \u001b[38;5;66;03m# Get rid of bytes that are found in some of the formats\u001b[39;00m\n\u001b[0;32m 39\u001b[0m metadata \u001b[38;5;241m=\u001b[39m cleanMeta(metadata)\n", - "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\io\\experimental\\rc1_parser\\txt_format_readers.py:48\u001b[0m, in \u001b[0;36mreadTXT\u001b[1;34m(file, x_col, y_col, verbose)\u001b[0m\n\u001b[0;32m 46\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mreadTXT\u001b[39m(file, x_col\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, y_col\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, verbose\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m):\n\u001b[0;32m 47\u001b[0m \u001b[38;5;66;03m# open .txt and read as lines\u001b[39;00m\n\u001b[1;32m---> 48\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mfile\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m d:\n\u001b[0;32m 49\u001b[0m lines \u001b[38;5;241m=\u001b[39m d\u001b[38;5;241m.\u001b[39mreadlines()\n\u001b[0;32m 50\u001b[0m \u001b[38;5;66;03m# Find data lines and convert to np.array\u001b[39;00m\n", - "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'data/2 - Full Data sets/FMNT-M_Ho785/NeonSNQ043_iR785_OP03.txt'" - ] - } - ], + "outputs": [], "source": [ "spe_nocalib = rc2.spectrum.from_local_file('data/2 - Full Data sets/FMNT-M_Ho785/NeonSNQ043_iR785_OP03.txt', filetype='txt')" ] diff --git a/examples/legacy/nexusformat.ipynb b/examples/legacy/nexusformat.ipynb index 5e5e89c9..3c574b81 100644 --- a/examples/legacy/nexusformat.ipynb +++ b/examples/legacy/nexusformat.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -12,20 +12,9 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "SpeMetadataModel(root={'@axes': SpeMetadataFieldModel(root=['']), '@signal': SpeMetadataFieldModel(root=''), 'Original file': SpeMetadataFieldModel(root='PST10_iR785_OP03_8000msx2.txt')})" - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "kwargs = {\"sample\":['PST'], \"provider\" : ['FNMT'], \"OP\":['03'], \"laser_wl\":['785']}\n", "spe = rc2.spectrum.from_test_spe(**kwargs)\n", @@ -34,21 +23,9 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "ename": "ModuleNotFoundError", - "evalue": "No module named 'pynanomapper'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[3], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mpynanomapper\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mdatamodel\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mambit\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mmx\u001b[39;00m\n\u001b[0;32m 2\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mnumpy\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mnp\u001b[39;00m\n\u001b[0;32m 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mtyping\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m Dict, Optional, Union, List\n", - "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'pynanomapper'" - ] - } - ], + "outputs": [], "source": [ "import pynanomapper.datamodel.ambit as mx\n", "import numpy as np\n", diff --git a/examples/legacy/resample_NUDFT.ipynb b/examples/legacy/resample_NUDFT.ipynb index 219a8597..b313d71d 100644 --- a/examples/legacy/resample_NUDFT.ipynb +++ b/examples/legacy/resample_NUDFT.ipynb @@ -2,22 +2,10 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "cd562e77-bd1b-45f6-9912-a8a3e2524458", "metadata": {}, - "outputs": [ - { - "ename": "ModuleNotFoundError", - "evalue": "No module named 'nfft'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[1], line 5\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mscipy\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m signal, fft\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpyplot\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mplt\u001b[39;00m\n\u001b[1;32m----> 5\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mnfft\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m nfft\n\u001b[0;32m 6\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mscipy\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01minterpolate\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m CubicSpline\n\u001b[0;32m 8\u001b[0m x \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39marange(\u001b[38;5;241m1\u001b[39m, \u001b[38;5;241m10\u001b[39m)\n", - "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'nfft'" - ] - } - ], + "outputs": [], "source": [ "import ramanchada2 as rc2\n", "import numpy as np\n", diff --git a/examples/legacy/sharpening_peak_candidates.ipynb b/examples/legacy/sharpening_peak_candidates.ipynb new file mode 100644 index 00000000..59eabbfa --- /dev/null +++ b/examples/legacy/sharpening_peak_candidates.ipynb @@ -0,0 +1,127 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "08dc83ca-f176-4390-8a70-505bbe1c01c9", + "metadata": {}, + "outputs": [], + "source": [ + "import ramanchada2 as rc2\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bc5af63c-0127-4010-b78f-281e24a79b07", + "metadata": {}, + "outputs": [], + "source": [ + "spe = rc2.spectrum.from_local_file('/data/RamanSpe/FNMT-Madrid/BWTek_532nm/PST/PST10_iR532_Probe_050_3000msx7.txt').normalize()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1088d4fa-43c8-4e0c-b19f-9e628483b191", + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots(figsize=(30,10))\n", + "sharp = spe.hht_sharpening_chain([50])\n", + "sharp.plot(ax=ax)\n", + "spe.plot(ax=ax, fmt=':')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d029a9f7-0ba1-4ca1-90b7-9cc4b6ced5c8", + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots(figsize=(30,10))\n", + "cand = spe.find_peak_multipeak(wlen=50, hht_chain=[80])\n", + "cand.plot(ax=ax)\n", + "spe.plot(ax=ax, fmt=':')\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d1ec0b9c-63bf-40dc-9816-de9f1a454ae7", + "metadata": {}, + "outputs": [], + "source": [ + "fitres = spe.fit_peak_multimodel(profile='Moffat', candidates=cand, no_fit=True)\n", + "\n", + "fig, ax = plt.subplots(figsize=(30,10))\n", + "spe.plot(ax=ax, fmt=':')\n", + "fitres.plot(ax=ax, peak_candidate_groups=cand, individual_peaks=True, label=None)\n", + "fitres.plot(ax=ax, peak_candidate_groups=cand, individual_peaks=False, label=None)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3242e92c-8b9b-414c-a606-b84fe143d1c0", + "metadata": {}, + "outputs": [], + "source": [ + "fitres = spe.fit_peak_multimodel(profile='Moffat', candidates=cand, no_fit=False)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b286db90-8de4-4b03-8430-252ad054cf6e", + "metadata": {}, + "outputs": [], + "source": [ + "fig, ax = plt.subplots(figsize=(30,10))\n", + "spe.plot(ax=ax, fmt=':')\n", + "fitres.plot(ax=ax, peak_candidate_groups=cand, individual_peaks=True, label=None)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a0c23c0f-39b3-46cc-84b2-6224df507735", + "metadata": {}, + "outputs": [], + "source": [ + "fitres.to_csv('/tmp/peak_data.csv')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3e84666f-1b25-42ea-b4d7-5f9e763d8d33", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "ramanchada2", + "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": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/legacy/x-axis-calibration.ipynb b/examples/legacy/x-axis-calibration.ipynb index 908f0ae2..1311e1e7 100644 --- a/examples/legacy/x-axis-calibration.ipynb +++ b/examples/legacy/x-axis-calibration.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "id": "5c50eb16-3df2-444f-b742-6c33b74a06c3", "metadata": {}, "outputs": [], @@ -21,7 +21,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "id": "2a3fb655-db71-44ae-9cd0-70d6613c1439", "metadata": {}, "outputs": [], @@ -32,31 +32,10 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "id": "3400e085-3c87-4f42-adb2-5db281556f4d", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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TTI7M97cKeTaryAlTJ0cgkUMQsaS5WWkErAmdSqGxsVG/tqCQyKlAJCGmboVAFY8tlohilhzf2VWW80VqyfHp8nGKyQnpIrKnkEeYIk8QRCwQBAHjx4/HuHHjkM36+2EYV5LJZCgLjgaJHGLoCLBge0khj5JILTlFrldwy66KcA7MkkLuueq0o0AjkUMQcUaSpEiEQSVBgcfE0BFI5HjoXRXqHObxcj6MpcN/Wwd+7oIak8MfJmx6vFUwyaGESkwthARBEC6QyCFKislSESAF2W8xwLAJQNbieWEoFnhsxbDkRGcxsaeQU+AxQRCHDiRyiKEjgsDjsIHFVqyWEls2lx9sMTmFxyjZVXYRaLa+RJ1CHvz6qBggQRDlBokcorSEDpz1YlnhzxFSBJU4u8paE9ls6VItOfxrYc9nza7y6I5zdJORJYcgiDKDRA4xdETRuyrqmBzL+FDuKuv1+QzeFWQnS05IWHSWHBI5BEGUGyRyiJIStk6ObVEuscskjLvKUwp5oTo5uruKu09hKzhbiwF6jYui7CqCICoA3yLnb3/7G/73//7fGD16NKqrqzF79my89tpr+nbGGJYvX47x48ejuroaCxcuxHvvvWc6xv79+3HRRRehvr4ejY2NuOyyy9DT02Ma89Zbb+Gzn/0sqqqqMGnSJNx22222uTz++OOYMWMGqqqqMHv2bDzzzDN+L4cYQoJkCnlxV5kDj0NmV5XYXcWXMBJgtkKJqrvKFLcTdXaV52rKVAyQIIjyx5fIOXDgAD796U8jmUzi97//Pd5++23cfvvtGDlypD7mtttuw49+9COsXLkSGzZsQG1tLdra2jAwMKCPueiii7B161Y8//zzePrpp/Hyyy/jG9/4hr69u7sbp512GqZMmYKNGzfihz/8IW666Sb89Kc/1cesXbsWF154IS677DK88cYbOPvss3H22Wdjy5YtYe4HUUqCWHKsgcfF1uiwMUChiuVZz+33WMr+4dK8rVPIF37uCwo8JgiivPBVDPDf/u3fMGnSJDzwwAP6a1OnTtUfM8Zw11134YYbbsBZZ50FAPjlL3+JpqYmPPnkk7jgggvwzjvvYPXq1Xj11Vcxf/58AMCPf/xjnHnmmfj3f/93TJgwAQ899BAymQzuv/9+pFIpHHPMMdi0aRPuuOMOXQzdfffdOP3003HttdcCAG655RY8//zzuOeee7By5cpwd4UoDUFicjzEyJgsOSEX4khTyB2sJqbsMFt2FVP3K12DTu8CitxVBEGUP74sOb/73e8wf/58nHfeeRg3bhyOP/54/OxnP9O3b9++He3t7Vi4cKH+WkNDA1paWrBu3ToAwLp169DY2KgLHABYuHAhRFHEhg0b9DEnn3wyUqmUPqatrQ3btm3DgQMH9DH8ebQx2nmcGBwcRHd3t+kfUVrCultgc1fZF9pIW9GFisnxIAIsriintGz/LrcCBO1C7ghZcgiCKC98iZwPP/wQ9957L4466ig8++yzuOqqq/CP//iP+MUvfgEAaG9vBwA0NTWZ9mtqatK3tbe3Y9y4cabtiUQCo0aNMo1xOgZ/Drcx2nYnbr31VjQ0NOj/Jk2a5Ofyy44ci1lceRTZVUXP4W8httXJibKlgm9RoFlyjDlEHZPjNbvKSXxRTA5BEOWGr1VQlmWccMIJ+P73v4/jjz8e3/jGN3DFFVeUjXvo+uuvR1dXl/5v586dwz2lkpJHHHqY8O6YAIuk1X3ksPiKpoakPs9hzYiKNCan2PmYua2DJnIiFBM2kRPm2CRyCIIoM3yJnPHjx2PWrFmm12bOnIkdO3YAMNq9d3R0mMZ0dHTo25qbm23t4HO5HPbv328a43QM/hxuYwq1ZU+n06ivrzf9q2TysasQED67KlJXjtP5IozJcRYF5kJ/TpaaKNs6WEWi9xR5nx3UCYIgYoivVfDTn/40tm3bZnrtL3/5C6ZMmQJACUJubm7GmjVr9O3d3d3YsGEDWltbAQCtra3o7OzExo0b9TEvvPACZFlGS0uLPubll182tYx//vnnMX36dD2Tq7W11XQebYx2HiIeIsfk9giySPoUHX5PYRUZYYrleaqT47OJ53C5q5wgdxVBEOWGr1Xwmmuuwfr16/H9738f77//Ph5++GH89Kc/xZIlSwAAgiDg6quvxr/8y7/gd7/7HTZv3oyvfe1rmDBhAs4++2wAiuXn9NNPxxVXXIFXXnkFf/7zn7F06VJccMEFmDBhAgDgq1/9KlKpFC677DJs3boVjz76KO6++24sW7ZMn8u3vvUtrF69Grfffjveffdd3HTTTXjttdewdOnSiG5N+cOESENyQxNkkSxWDNBm9QhbPK/kKdZm0Sc4ZFdFWqvHWvE4lFAhkUMQRHnhK4X8xBNPxBNPPIHrr78eN998M6ZOnYq77roLF110kT7muuuuQ29vL77xjW+gs7MTn/nMZ7B69WpUVVXpYx566CEsXboUp556KkRRxLnnnosf/ehH+vaGhgY899xzWLJkCebNm4cxY8Zg+fLlplo6n/rUp/Dwww/jhhtuwPe+9z0cddRRePLJJ3HssceGuR9ExJhlVuktOf6xzClAp3TXIxe5XFcrTYQVj+11coILFbLkEARRbvgSOQDwpS99CV/60pdctwuCgJtvvhk333yz65hRo0bh4YcfLnie4447Dv/zP/9TcMx5552H8847r/CEidgQhSXHmrHEGAvXu8p6Po8NLB2x1sVxuN7CnbzVbaWseOz1bxDY1UYQBBEfhj9ogygZhRfUoYK5PPaInC242R4HEy67qtRtHZjlfggO9yfSise2Bp0hLDnkriIIoswgkVPBxCsiBwEDj6ONuSl+vuDuMVtdnCLWEMEmctQhkWZXmY/ltUGnowUpFqKZIAjCOyRyiJJiCqwNYgmwLcrWRTucILAKwUhr1DhartyFgj6XCN1VtvtHlhyCIA4hSORUMKEXyIgJVgzQn/sobB2dKFPIXQaZnjpZ27xaWzwhW+sMheldFa/3E0EQRDFI5BAlJmSdHFsKtGVz6IXXsn+UbR0c51bAXaU36AwZx8RjdVdRdhVBEIcQJHKIIcT/gi0UER1WIRHWpRLOkmONH3KYS4FbYAie6MSEYAs89nh9RQQaQRBEOUAip4KJg7vK1JspiCXAJhwKX5N/y07I7Kww52bMdn7AbG0JnSEXsBig03uHLDkEQZQbJHKIISS8u8q22acIKkqk7irHE+iPBEuDTu3+8NcUOkMuymKAFHhMEESZQSKHKDHhMoVs7iov/aH8HN/WJiKEyPEwl0KWGafsqrDY3FUhAo/jUXeJIAjCOyRyiCEjmLvK3yIdeh0ueeCxGcc6OaZrDOuuslq6wlwfWXIIgigvSOQQJcWcPRRBTI5tu1UE+D1H8VYMno/kKfDY6q5yyD6LsBigPfDYa1sHp2ORJYcgiPKCRE6FYQpajUHgMU+Q+BLrIl1qQrmrQiI4xuREG2MUJrCaYnIIgig3SORUMHEQOeZf/0EsOT6zqXxaG2z3KISo8lbDx9q7yuk40dXJsV4fxeQQBHEoQSKnwghfHK90BInJsQfOFl60nVspFCfH1I9CpJacIr2rGIMoOAiaKK1X1nseyhVGlhyCIMoLEjkVRqxFTpDsqiFyV+UhASh9dlUhdHcVV/E4bAq5VVh6vT7nOjnxfW8RBEE4QSKngolbF/Igi6R1kbbGhYR2V6nj8+pHIcxCbrcyFWvr4EYps6soJocgiEMHEjkVRpRdtKPAbBEohbsqnMjRkNWPQqTNMZ3m4iHeJsq/oV0Ues2uIksOQRDlD4mcCiN+7qqQrpeSizbVkiNEEZNTfK6C6X64/K0izJCzxUFRxWOCIA4hSORUMHHIruKJIvC4aMXjwJYcSd2/xMUAC1hy9L9XlELVdn9CZFfF7P1EEARRDBI5FUbcLDmeLBeF9vctjII16NRickIVA5St5y4Wk+Ms0Ex1ckK3rYiyTk683lsEQRDFIJFTYcQtJsdEoMBj6yJtPWQ0C68WkxNlteFiiG5/q0iFanQVnakLOUEQ5QaJnIpm+H95C6bHAdxVRfbxltFU6PjRYa3R49hCoYBQMCwlUTbojDK7avjfTwRBEH4gkVNh8It87FLII3FX+e1l5Q2j9nB01opihQnd7of5bxi29k6UdXLIkkMQRHlBIqfSiFlMTsEYFA/YXDpFA419nkOLg4mgTo5fK4m7lSpKS040gdkAWXIIgig/SORUMHFblAJlVxW13ERjXYjiTnnL9HK3tGl/L8FDLR2v2CtGezyeU50cSiEnCKLMIJFTYcQuuyqk68UWeFzkGP5jclRLjjBEzr2CAkbLriqdu8qrJcfRXRUz0UwQBFEMEjkVRpyzq4JYclwzkFTsoiboQhxe5NinUlgoiG6CI8qKx1rbCqZdX3ChUuxvQRAEETdI5FQwcfjlLbg89r5/MEuEdxj3X0RbYdlvMUDmZMkJi3I9Rh0gr/dv+N87BEEQYSGRU2HEzV3FEySmQyxSgdh6vUEDh1kUuWieBJIXV1SUMTnK/nodoBDHi4NoJgiC8AOJnAojfiInZExOEUuO1T0XvE5O9DE5jvFDBeJtBIcxYRHV+yf7/ajH7n1EEAThHxI5FUzc6uQEsSJocSCyFlNSosXXsOSESSH3V5jQLvrsxQDDt3UI6q5ygoQPQRDlBYmcCiNulhxzoG0Ad5U1psRC6MDjYbxfrpatCOekWcJkwZ/IiZ9AJgiC8A+JnAqDX/RFIb6CxytaTI5bTElUXcj1FPIQAsPmniqSXWV3VzlYcgLPxnxMrct6mHcExeQQBFFukMghSooQMohW29/NkhMWvU5OJCnkHtxVBWvgMNuY8IHHVneVV2uak0AjCIIoL0jkVBhxc1fxiEEsORZ3VTH3lP/r18ZHEJPj63zuoiHKv6FgCzyO7/uDIAgiakjkVBoxFjlhigHmBcnjHiFTyKPsXVW0rYN5vOA4JtzfUys4qLmrvHswC8+dIAiiHPAlcm666SYIgmD6N2PGDH37wMAAlixZgtGjR6Ourg7nnnsuOjo6TMfYsWMHFi1ahJqaGowbNw7XXnstcrmcacyLL76IE044Ael0GtOmTcODDz5om8uKFStw+OGHo6qqCi0tLXjllVf8XErlEuOqtEHcHSIsMTlW4SCHbXsQnbvKCnOoC1S4zYWTuyoc1sBjpzkRBEFUKr4tOccccww++eQT/d+f/vQnfds111yDp556Co8//jheeukl7Nq1C+ecc46+PZ/PY9GiRchkMli7di1+8Ytf4MEHH8Ty5cv1Mdu3b8eiRYvw+c9/Hps2bcLVV1+Nyy+/HM8++6w+5tFHH8WyZctw44034vXXX8ecOXPQ1taG3bt3B70PRIkQClguvGC4qzRLjsU95SHY1xuC+t8QgceedvUSVBxl7ypLMUCv2VVOQdMxthISBEE44VvkJBIJNDc36//GjBkDAOjq6sJ9992HO+64A1/4whcwb948PPDAA1i7di3Wr18PAHjuuefw9ttv41e/+hXmzp2LM844A7fccgtWrFiBTCYDAFi5ciWmTp2K22+/HTNnzsTSpUvxla98BXfeeac+hzvuuANXXHEFLrnkEsyaNQsrV65ETU0N7r///ijuSVkT55icQNlVvovZBXVXlYBidXKY1V0VvSVHy07z7u5zhwKPCYIoN3yLnPfeew8TJkzAEUccgYsuugg7duwAAGzcuBHZbBYLFy7Ux86YMQOTJ0/GunXrAADr1q3D7Nmz0dTUpI9pa2tDd3c3tm7dqo/hj6GN0Y6RyWSwceNG0xhRFLFw4UJ9jBuDg4Po7u42/as04iZyCqVMe0G35KiLdNEMpuFMIQ9cbdl2pMBzsJ9Dc8dR7yqCIA49fImclpYWPPjgg1i9ejXuvfdebN++HZ/97Gdx8OBBtLe3I5VKobGx0bRPU1MT2tvbAQDt7e0mgaNt17YVGtPd3Y3+/n7s3bsX+XzecYx2DDduvfVWNDQ06P8mTZrk5/LLEibHJwYjnCXH2RIRtuu6TQREic8Uct0dVDBuxx/RZleR8CEIorxI+Bl8xhln6I+PO+44tLS0YMqUKXjsscdQXV0d+eSi5vrrr8eyZcv0593d3RUndJx6OcXFzSAGiMmRmAwIauAsA4ovtGEX4uiyq5w0jjfLVglicjR3leeKxyRoCIIof0L9fG1sbMTRRx+N999/H83NzchkMujs7DSN6ejoQHNzMwCgubnZlm2lPS82pr6+HtXV1RgzZgwkSXIcox3DjXQ6jfr6etO/SsNTQbphIlh2VTFLTkh3FStdMUCXUfqjoWjroKWQMyG8JYeED0EQ5UYokdPT04MPPvgA48ePx7x585BMJrFmzRp9+7Zt27Bjxw60trYCAFpbW7F582ZTFtTzzz+P+vp6zJo1Sx/DH0Mbox0jlUph3rx5pjGyLGPNmjX6GMIgrDsnLOGzq8zZQSXL8BFKYe9yuN6CXchLEHisp+BrdXJI5BAEcejgS+R8+9vfxksvvYSPPvoIa9euxd///d9DkiRceOGFaGhowGWXXYZly5bhj3/8IzZu3IhLLrkEra2tWLBgAQDgtNNOw6xZs3DxxRfjzTffxLPPPosbbrgBS5YsQTqdBgBceeWV+PDDD3Hdddfh3XffxU9+8hM89thjuOaaa/R5LFu2DD/72c/wi1/8Au+88w6uuuoq9Pb24pJLLonw1pQnVmuCHKOYnDAVj2WXwGO/nb+t2OrkhBKFxa1KZtHnvH+UUsJwV2l1coKnkBMEQZQbvmJyPv74Y1x44YXYt28fxo4di8985jNYv349xo4dCwC48847IYoizj33XAwODqKtrQ0/+clP9P0lScLTTz+Nq666Cq2traitrcXixYtx880362OmTp2KVatW4ZprrsHdd9+NiRMn4uc//zna2tr0Meeffz727NmD5cuXo729HXPnzsXq1attwciHJtZFPz6WnCDLt6SKHMPdYsZ+fXFfnD1Ytrhriiomh0WQQk4QBFFu+BI5jzzySMHtVVVVWLFiBVasWOE6ZsqUKXjmmWcKHueUU07BG2+8UXDM0qVLsXTp0oJjiHjF5Ig+58JkWe+kLrsUA4yKoWvQaTy0ntG5C3nItg6aSKQUcoIgDkGod1WlYW1zMMwih1/I/WZX5fNGuw/ZxRJh79cZruJxpIt7sWKAtpgcbb/orG+ipa0DBR4TBHEoQSKnwrDGXMTJkuN3kTSLHBdLRJGu5F7nFEmivc/sKtcYJVNwcjhEq7sqhCWHRA5BEOUGiZwKZ7hjcsK4XuR83jhKqWNKIqh4bMUpyJe/B6KtJXj0IkJrHRFFCjlBEES5QSKnwohznRy/2VVO7qro2zpEl9HkaS5e5mcaEzYmx2rJ8bZfXApIEgRBhIFEToXhVPF4OAmTXZV3tOSUquJx+C7k3nA/vpG2HX3FY6NtxXBb9giCIIYOEjkVznCLnDAwkyXHLREwZO8qW0XgMFjvtb+5GYHH0f3N9BR80WcxwCI1fgiCIMoBEjkVRtzcVYWL3xWGd1fpe1uvL6JsMn2vMF3IZX+9qzzMJrIGnVHENJHIIQii3CCRU2nYREB83BN+F0nN9SYzwUfbBb/ZVdZHJV7IC4ooZZtQ0uwqb+8HEjQEQVQCJHIqnWGveBwcLbsqD5FL8baIuMi6jkdQDNBDW4dCGPEz0QkMQ+SE/6hTMDJBEOUGiZwKI26Bxzz+U8gVd5Vc6G1qFXFB3VUlSCF3wtM9iCi7iq8YDc+B2+HPSxAEERdI5FQY9izm4V6sgrteeEuOW0yO/XQxKgboOJcC2VUObR3CwDdn9V8M0Inhfi8RBEH4g0ROhTP8xQCD42zJKRxYHaZpQdQ43nufdXLCdAOXZS4FX/RnyXG6GxSnQxBEuUEip9KIW3YVd357hd/CyLIqcgSxhAEhWsxKBHVyPNxrb5cRTeAxL3IQiSWHIAiivCCRU2HEL4U8OMyDu8reuiqo5Wqowmo9uKsi+pOZMuvUwGPPIo7q5BAEUQGQyKl4yndh0i05fgKPw6aQhxGFngSml5gc2eE1//B1hvzWyalUQbNn10d4d8Nzwz0NgiCGCLcyskTZYln0rcXyhhjrYslkGYLoTVtrgccyl0JeKstUJL2rPBzFS4xNmDgcHj7wGKL6UQ9x7EpIIR/70zkYC+Bd8b8x48SFwz0dgiBKDFlyKgxrBeAoa65EgR+RosWUFLbkmI/nM+wHurwRoi8GKETQJyqMRcUxuypUCnm83kth6Hz35eGeAkEQQwCJnApn+GNywtR54USOiwixijgWWFhEUAwwpLvKGBJRRhwfeOzRenaoICSrh3sKBEEMAfTNV2FYF31Thk0MCGLJMVXrjVi02evkDF8xwKjjYHhLjhBBW4eo3GhxQEhWDfcUCIIYAkjkVBoRVQAuFb7q9uR5d5WzpcUmmoJer5ZCHmHgcdDChFE16DQFHovhG3SWO3y2mUgihyAOCUjkVDhlXQxQc1cJ7r2rwqKJmkgqHltw7ELusxhgKNRFPc8ERNGAtNwDj7PZjP6YRA5BHBqQyKkw7HEhwzQRFVt2lS93VZAU8rCEiCHydG2F3FX2MaECj7Uu7ojG3VfuaeUD/b36YylNMTkEcShAIqfCsBfHi9fC5EfksLyySDNIRuBx0WKAQd1VpfgoOAmwQvNTtgmMr5MT4uxaTBMEwx3nua1DvN43UZDp69EfC2JyGGdCEMRQQSKnwinv7CqurYP3vYKdqxQNOh3wdJaI/mZGdhp31kPYkjM40Gc8iZn4JwiiNJDIqTRs7pt4xeT4iRFijnVyom1bYSzc4Sse29LXhznwWM5z7iq/dYAqUARkBgxLTtzqRxEEURpI5FQaVnfOsFc8NuPLXeUlhTyqbLISRNU6LqQF5ucsaKKpMyRoH/UKFC9eyZIlhyAOOUjkVDjl/IvVWKQleFchfq/XbMkpfRfyoSsGyJiWnSaA+RRxjnVyyvi9BADZgV7uWbwsnARBlAYSORWGTdQMcwq5bWH0ZclRYnKYIIK5VTy2tXUI5iIqRQq587V6ya4q/JpXZJm/tghEXBE+fn8LuvbvKdnxw5IfNCw5w23hJAhiaCCRU2FYF305Zl/m/txV6iJdkswnC1H0rvJQDNCbaIkq8JhLwRfCu6sKCaRdH23DxF99GtLdswMfv9RoJQkAkLuKIA4RSORUOsNeDDBM3RnVksNXPLbnjFue+bXkaPsN0Ueh4OLKbGOi6P3FIDjW4ImSjm3rAQB1Qr+pHk1cKecimQRBeIdETqVRiW0dClhyom7rECq7ykPNnoK9q9Tx/JhwXciVfYNkVznH5LhTPeow/fHf3t/sdYpDS8w+CwRBlB4SORWGbc0f5mDRaLKruMDjyBcqS0xPpPcrYLZU5HVyeJETnIL3hptz18fvhD5XSeDvK4tX41qCIEoDiZwKZ7iLAYZByw7iY3JsV1PEfeWdKAKPw7lAnNs6BEezmpkCjz2/H3zeR+64cj7rb98hgrcilvPngiAI75DIqTDs7pt4ZVf5Wlx4S46LJSKsu0pv0FmCwGOnay3ornKIyQmDEZMTwF3lMzPMZDEsBwFRDnMkCCI0JHIqDYuoidt3eSB3Fbgu5CUTbUOVQu4PUQgTk8PHNJW2h7jp7xq3N50DZTBFgiAigEROhTPcZvlQMS6mmBw3wrmrBOujUIaccMUAtW2RxQXJWlsHo0Gn19Xdd80e03HjqSAYxeQQxCFHKJHzgx/8AIIg4Oqrr9ZfGxgYwJIlSzB69GjU1dXh3HPPRUdHh2m/HTt2YNGiRaipqcG4ceNw7bXXIpfLmca8+OKLOOGEE5BOpzFt2jQ8+OCDtvOvWLEChx9+OKqqqtDS0oJXXnklzOVUBHFzV1kJ3dah2AIaOCQnAneVDX9tHXyN8XJ2PSbHsOSUqhgg/3dlcrzecxoCFzM13AH5BEEMDYFFzquvvor/+I//wHHHHWd6/ZprrsFTTz2Fxx9/HC+99BJ27dqFc845R9+ez+exaNEiZDIZrF27Fr/4xS/w4IMPYvny5fqY7du3Y9GiRfj85z+PTZs24eqrr8bll1+OZ599Vh/z6KOPYtmyZbjxxhvx+uuvY86cOWhra8Pu3buDXlKFECIGpgSEya4CK27JCb+gRljxOGRMjnVO+rOA16jtxwQhgIjzOfeys+TEc44EQURLIJHT09ODiy66CD/72c8wcuRI/fWuri7cd999uOOOO/CFL3wB8+bNwwMPPIC1a9di/XqlWNhzzz2Ht99+G7/61a8wd+5cnHHGGbjllluwYsUKZDIZAMDKlSsxdepU3H777Zg5cyaWLl2Kr3zlK7jzzjv1c91xxx244oorcMkll2DWrFlYuXIlampqcP/994e5HxVIGX+Zq5YcCEbgrDVExf6LPGyG0/DdL6cu5EBwoapV+C1cTNE7he4N34F9uIW1KyRyCOKQI5DIWbJkCRYtWoSFCxeaXt+4cSOy2azp9RkzZmDy5MlYt24dAGDdunWYPXs2mpqa9DFtbW3o7u7G1q1b9THWY7e1tenHyGQy2Lhxo2mMKIpYuHChPsaJwcFBdHd3m/5VGtYFZrhdB7bAWV+WHM0SwaeQF76eoL2rEEHrCLvgCmbJ8XsNrugxOca1eRVxvsVeGVhyTMTMjUsQRGlI+N3hkUceweuvv45XX33Vtq29vR2pVAqNjY2m15uamtDe3q6P4QWOtl3bVmhMd3c3+vv7ceDAAeTzeccx7777ruvcb731VvzzP/+ztwstVzy4TIYVH4uLYzFA26CIri+CisehpxCxJYevkyNEEHPkNfA4MpEWMWZDTjznSBBEtPj6+bpz505861vfwkMPPYSqqqpSzalkXH/99ejq6tL/7dy5c7inNASU8Zc5s7urvDTB9EOkXcg9dUQvlF0VLUZMDn//PO/t71xlISA4gR3bORIEESW+RM7GjRuxe/dunHDCCUgkEkgkEnjppZfwox/9CIlEAk1NTchkMujs7DTt19HRgebmZgBAc3OzLdtKe15sTH19PaqrqzFmzBhIkuQ4RjuGE+l0GvX19aZ/lUbc3FVW/BUDVBdpsVAKufUEAa83kuwqa40iB3dVgOyqoM0k+QadfCvSoBSu2cPPMaYCotxcagRBhMaXyDn11FOxefNmbNq0Sf83f/58XHTRRfrjZDKJNWvW6Pts27YNO3bsQGtrKwCgtbUVmzdvNmVBPf/886ivr8esWbP0MfwxtDHaMVKpFObNm2caI8sy1qxZo485dLEskMP4Ze4ksIJkV0GQ3C0tkf0iL22xPC9ncauTE9pdxQdue47J8X0y58cxgv8sUBdygjg08BWTM2LECBx77LGm12prazF69Gj99csuuwzLli3DqFGjUF9fj29+85tobW3FggULAACnnXYaZs2ahYsvvhi33XYb2tvbccMNN2DJkiVIp9MAgCuvvBL33HMPrrvuOlx66aV44YUX8Nhjj2HVqlX6eZctW4bFixdj/vz5OOmkk3DXXXeht7cXl1xySagbUnHEdMHxBJ9dVQbYb7U/d5W+LaoF2BR4XNqYI1OdnDJ4z8U1boggiGjxHXhcjDvvvBOiKOLcc8/F4OAg2tra8JOf/ETfLkkSnn76aVx11VVobW1FbW0tFi9ejJtvvlkfM3XqVKxatQrXXHMN7r77bkycOBE///nP0dbWpo85//zzsWfPHixfvhzt7e2YO3cuVq9ebQtGPtSwWU+G8cucMbv9xdcvaK5OjuASk+Mlo6kQ1uyqSFPIPdbJkZlgcgVFbskJ0LvKbRyTZQiig+g0WXJiaiUpMyFGEER4QoucF1980fS8qqoKK1aswIoVK1z3mTJlCp555pmCxz3llFPwxhtvFByzdOlSLF261PNcDwVsi37Mvsz9LC6CyZLjvEiHbdAZKZ7ObR+jveLUhTzcfDSRyMfklAbz+y5e7zkdiskhiEOO8vADEIEZ1picsIKDBQg89olglRgRiiTniscO46wtF2y6LZhlRM4blhzBpYu7G24WLde/aRnE5JgsOTELyCcIojSQyKk0Yl4nJ2jgMXcA6wGtOwWal9/AXEc8zcXBXWV36lkOG3BOjOv9FcX1FZxLGWRXlYO1iSCISCGRU2nEyH3jbIEI4K4qYMmJyl0VSZ2cwJgFSFRxQabsKp+WKr+BuWZPUBkIiHKYI0EQoSGRU+GUtVles+SICS7DKtrFyd7WIfjxbaLOY+CxTWBFJVRle8Xj8JYcl/dTGQT1MorJIYhDDhI5lYYt+2j4RI7jYif7sOQwDynk1irDId1V0eKtGKCsW3Kc94uiTg6LpNhhwZPxT0pzjrCUQwYYQRCRQiKnwoh9dpWfBdDBXVXUjRK0QWeJ68gUQrPkFK4oHOC42v0LUCfHb+CxycITs/ecQRkERxMEESkkciqdYa6TEwZBXTgFMQFtkbaKpOG0VFnxEh/kqQu5zZIT7BoFzpJjuKvC4elvGlMrSbkVLCQIIjwkcioMW++qmH2X+6qTw3LKg0Ip5CGzq/RFXy8GWGqc3FWWj2FEfzTHwOOQxQBLv+9QUQ5zJAgiLCRyKg3bAjmcMTlOvau8z0ezRECQ3LuQR07w4wu2e+018Jh7LMvRVTzmAo+jaUDq/vczzTFuylqHYnII4lCDRE6lU9buKsWSI0gFCnOHvj5lfyaUoOCg12KAtqDnaOvkgHdXhYzJcR8f/zo5QlkIMYIgooREToVhd1fF68vcn7vKsOQwF3eL3VsV8Be6rjPCpJCHr9HDGItuAeZ7V/l2V7kc0jXwOP4CwmsK+d72Hdjxl00lnw9BEKUn8gadxDATpwXGaS6+Kh6rgcdSomS2AVt2VYQ4C4LCdXKcm5qGdFdxKfheLTSud6Oc2zp4zK4as3I2AGD3FZsw7rCppZ4UQRAlhCw5lU5sF5ziiHzgsWtMTkSxFT7dOY54CIJ2Or6DrAk+B9NhNEsY34W8NJg0TknPFAKfdXJ2vbuhhJMhCGIoIJFTYVhTquPWoDNI4LEgSPDubglZJ6fEOJ+Ft+TIiC4mh7Pk+BZx/urkmMRmOQT1ergPLJ8bgokQBFFKSORUGjHqXeWEn+loFY99BR4Hvd4Iso/shhyv7irLVKKKq9ICjyPMrnI/l3HcUNawEmKqk+NhvJzLlm4yBEEMCSRyKp54pZD7ESGiJnJM7irr4cwv+M8K0v4fRW+nYCnkfJ0c5XoiEgl6TI6kX5/XY7sJFdcUcvACIq6WHH/uKiaTyCGIcodETqUR82KAfhC4wONSY0/jLg3FRJQSeByNdYo5uKvC4mpVKofAY5/WJkaWHIIoe0jkVBjeXCZDA78gykywvVYMw5JjtHWwWUtCu6sijMkJOBd74LF1QNC2Dur5BQHaR93rVfq+G3EVNiZ8WptkiskhiHKHRE6lE5PFh5M7nvcRwbmrApzJF0PUhdx5lDnwWIgocJeZigHqL4Y8Zhlbcng8zFHOkyWHIModEjllwO6/bcdrd3wFf3n9RQ+jLdlVw5jpYg709C8inNxVtqDckPErxvHCp5B7mYtzWwdLMcBSZleVrHeVt0J7w4rf+0gihyDKHioGWAbs/uXXMX9wE/C754ETugoPjumvaG0hZ7IPd5VqyRFFSW+gaT9wOHeV0aCzBNlHHruQWwVgZDYlrmK0EFnvqvKteOw/8JjcVQRR7pAlpwwYN7hjuKcQCCdLjh/Li6hZcny5qwIShbsqYEd0k8hxaOsQ1pKjSCu/MTk+6+R4bJkwrPgVYmTJIYiyh0ROGeAnrTmuvauCuKv0mBwpyR3I+gs8nDtOu7eC/lEo7f1ytOQIZneVvQt5wGvk3FWCzy7u/lPp/VlJhgMvvau0VhjKY7LkEES5QyKnDPC14NjqxsQlJkd74CPwWB0rSu6WHOuaHbTODYvCR+TBdeY8vxK1ddAW7AC9q9wob3eVgVvslcyJHMh5xzEEQZQPJHLKgDALU9wsOb5SyGFUPPZcx8Z3TI4l8NjX3v7P7XR82ZpdZTtssL+hYMquKrWlqgzcVXwKuVtRQ/51suQQRNlDIqcM8OWuiqiQnB+YLOODzevR33vQcupw2VWSZskRfbR1CIpbYHMYPLZ1MPeussfkBD+/vUFnWEuO29yEcrDkeHBXmSw5FJNDEGUPiZwywJc8GIaKx28890sc+d9t+PjOz7uOMSw53o+rZ1dJEuA5Ziag1UPfPcwNs6a3e93Lml0VVVyVsh8TuLYYHnEVQ64WkPKy5Lj9nXlLjkCWHIIoe0jklAHh4mpKH5MjbfoVAOCo3HvmDU6WHD8xOdBicpJcE/JilqpwxQBDWzqKncZDWwf7NYTMrhIEXeOU7vqY48NY4TPwmNxVBFH+kMgpA/wtTEXaHpQALzaCILOQ4CXwOJrsqijcVTaLi8PcHBt0Ws4dlRARZCMmR/+oh8yu8pZCHs/sKhMeLFJkySGI8odEThngL4Xc8nxIflYXd20wnynMAN/Wge9dVXj/wBWLS1EM0LELuePJjT2c5u+jgKLj+bku7qWy5JjEQVxjclB8jjKfUcVI5BBEuUMipwzwtWiEblgZBC/n8F8MUAs8lnx1IQ+XXRUKT/faoU6O6RAOdXJCu6ui+5i7xwfFVdhweOk8zos1CjwmiLKHRE4ZUOq05lJh6kIeqBig5q5KGJaWUhU7FCJIIbce0mFqToKVWT+GJciuEhCNJcfVPWjKroqru6r4HE0ipxyEG0EQBSGRUwaEKQY4FHixNAWpk6PH5CRK12JNsD6KNLvKKSan8CycKx4HrZNjBB77dceFqngcV3HgM4U8SNkDgiDiBYmcMsBfTM7QBx67ZqqYzu0/u0pSY3IUd5WzJcKWeRY6Jic4XsSIc4NO00FCz8M4FmfJiaI3FzwGHsc2JofDUwA1QRDlDomcMiCc2Xwosqu8WHL8kxC4Bp0eA5f93it7xeMoRYa3Y7Ei2VVBM8g0S47A1cnxGt/FzyHDvDRIrQxLDqNWDgRRUZDIKQPEMm3rwC/OfosBynljsUkkkq7jorq+aCwdQS05fBdy2Xac4Neo3n/RSCH3e5VbFv4nst/+sPhcysCS48ViFpc2KARBRIMvkXPvvffiuOOOQ319Perr69Ha2orf//73+vaBgQEsWbIEo0ePRl1dHc4991x0dHSYjrFjxw4sWrQINTU1GDduHK699lrkcuZUzRdffBEnnHAC0uk0pk2bhgcffNA2lxUrVuDwww9HVVUVWlpa8Morr/i5lLIiTBfyuCw4fmNycjkjs0WQEnrgrE1IhC4GqNXJKUUKuX8YY5GlYAsmd5V+Bm/7qv+vGz0BtSMaIbPC96csAnb5asYu1jGZLDkEUVH4EjkTJ07ED37wA2zcuBGvvfYavvCFL+Css87C1q1bAQDXXHMNnnrqKTz++ON46aWXsGvXLpxzzjn6/vl8HosWLUImk8HatWvxi1/8Ag8++CCWL1+uj9m+fTsWLVqEz3/+89i0aROuvvpqXH755Xj22Wf1MY8++iiWLVuGG2+8Ea+//jrmzJmDtrY27N69O+z9iCkxd1eV4FexnDeEb8JP4HHgc4a35Njug8cu5HZ3lXVA2MDj4L2rNHHpyyEZE2Ftx4O7KrZzJwgiCL5Ezpe//GWceeaZOOqoo3D00UfjX//1X1FXV4f169ejq6sL9913H+644w584QtfwLx58/DAAw9g7dq1WL9+PQDgueeew9tvv41f/epXmDt3Ls444wzccsstWLFiBTKZDABg5cqVmDp1Km6//XbMnDkTS5cuxVe+8hXceeed+jzuuOMOXHHFFbjkkkswa9YsrFy5EjU1Nbj//vsjvDXxwc/yaw3EHZovbe/ZVV4Dj3lLjlSgC3nYy9OPKmjunNLer2LuKue2DgFxEDnej+0yzq0wYRn0rnJK6bchF7f2EARRPgSOycnn83jkkUfQ29uL1tZWbNy4EdlsFgsXLtTHzJgxA5MnT8a6desAAOvWrcPs2bPR1NSkj2lra0N3d7duDVq3bp3pGNoY7RiZTAYbN240jRFFEQsXLtTHuDE4OIju7m7Tv3JA9FEm3y5q4lEnp9BrTuS5mByxYDFA870JLFJKkl3lZMnxMJWoAo9hBG4LPmNyBIsbr3g6dTnUyeFwq5NTDgHUBEF4xrfI2bx5M+rq6pBOp3HllVfiiSeewKxZs9De3o5UKoXGxkbT+KamJrS3twMA2tvbTQJH265tKzSmu7sb/f392Lt3L/L5vOMY7Rhu3HrrrWhoaND/TZo0ye/lDwthlt+hKbFf+BwyE3zXHGEmd1US3lPQw2VXRYpXdxX3MWRMdhA5Ic8fyJIDY1/+kK4tPOIvCMx1i9zq5OSLjiEIonzwLXKmT5+OTZs2YcOGDbjqqquwePFivP3226WYW+Rcf/316Orq0v/t3LlzuKfkCdGTnV2lVBWBC+AuD5zO7T/wWJQkd0tLyOvTBIUQSW8nL/sOnbtKcKiT4/X67K0lfFhy4ioOPGSAmXtwlYFFiiCIgvguJZtKpTBt2jQAwLx58/Dqq6/i7rvvxvnnn49MJoPOzk6TNaejowPNzc0AgObmZlsWlJZ9xY+xZmR1dHSgvr4e1dXVkCQJkiQ5jtGO4UY6nUY6nfZ7yWWF/bt7KAKPCy8GpuXPa+0Y9Rd1jon+3qSB445L0bsqYMBw0Qwyr8fR6uRwgcc+j2W9LeWcQs7jKvbKYO4EQXgndJ0cWZYxODiIefPmIZlMYs2aNfq2bdu2YceOHWhtbQUAtLa2YvPmzaYsqOeffx719fWYNWuWPoY/hjZGO0YqlcK8efNMY2RZxpo1a/QxREzgglT9uqvyqiUnD60QnbO7xe4+8euusjyKcJFzEhSOd0EwW3Ks+4Vt6yCIku86QNbR2gzc44PKIYW8uBDj2zqQ4CGI8sfXj+Trr78eZ5xxBiZPnoyDBw/i4Ycfxosvvohnn30WDQ0NuOyyy7Bs2TKMGjUK9fX1+OY3v4nW1lYsWLAAAHDaaadh1qxZuPjii3Hbbbehvb0dN9xwA5YsWaJbWK688krcc889uO6663DppZfihRdewGOPPYZVq1bp81i2bBkWL16M+fPn46STTsJdd92F3t5eXHLJJRHemnIlPm0djK1cTI7H+WjFAPPFdHjExQDDLNBh2jrITFDdkhH+vVRBwkI06DTEURGRVGaWHNf7bKr3Q+4qgih3fImc3bt342tf+xo++eQTNDQ04LjjjsOzzz6LL37xiwCAO++8E6Io4txzz8Xg4CDa2trwk5/8RN9fkiQ8/fTTuOqqq9Da2ora2losXrwYN998sz5m6tSpWLVqFa655hrcfffdmDhxIn7+85+jra1NH3P++edjz549WL58Odrb2zF37lysXr3aFox8SBKjmBynIFXv2VWKJScnqJacErV10OKdrLVqosDp+r3Mzz4maHaVFm8UXQq5J3dVXC05Hmr5MJY3jWnf8R52P/x/gJZ/wHGf/0qJ50cQRNT4Ejn33Xdfwe1VVVVYsWIFVqxY4TpmypQpeOaZZwoe55RTTsEbb7xRcMzSpUuxdOnSgmMIYEgWnCLCQ7Hi+HOXyKq7SvZryQnq2ilFWwev7ipe1sjRBx4LYvBigFp2VTF3o+mocbXkeKjKzGTzmL0PXY7jBjcBL10GkMghiLKDeldVGDbrwbD2ruJjcuyPCiHnrTE5CsWDcgNHHgfczx9OmXK8O4+pz0zb3QrwFUF3t5gqHnvc12+Xbr5lQgVZckYP/q3EcyIIopSQyKk0hqEYYLFFzeTIkL25XoyYHH/uqsBEkUIeWXaV9SjhA4+Dzsna1sFL4HFcLTmCB5cas4xJY7CkcyIIorSQyKl0hjHw2NSF3Kc7SOtdVdRdFSZQmC/hH4m7ynoCq0XGRSAInCWHscjqsxhViyWuwanXfc0Uc1eZDVTxFDk8bvfY9J4AQxUjkUMQ5QyJnEpjmC05ct6pi7MRk+PVKqEFHstq4LGgv1WjDTzm9/Ry/MIE29cahWNv0Bkw8Fi35AhKXA4C1MkRzbNx9VZ5qCY83Hhq2WDKEpNRI5DIIYhyhkROpRFRIG5Q8lw7BsdMHK/zsbqrXAiTPWbaN2CxPMsBrS+4n8/1EHJkqctGxWMJmnTy3btKm5ePFPKhaSUSAA/zkqnKMUFUFCRyKpyh6UJuwIscbVGxh9J6P45myWG6oaWIiAt6vaVwV1lw/1twli7mEHgcuuKxwLnj/B7L8hXhaS4xFTle4obKIoCaIAivkMipOIbXXeUUd6K4Y/wFDrO8NYXcmwjxszA5WnI87+14xMJPuQU0z/gzmRuYRtWgU6+TIyV8B1a7plj7zbqKEx4K/ZneEmTVIYiyh0ROhTHUlhv1pPpDs7vKYZHw2btKs+QUGOnpeMXwG5jrDfP1m1Pq3RuORmVB0GNyAjTo1I8haLFUPhp0lpngMb1MXcgJoqIgkVPpDLm7yh54HKgYoMVdpRWlK+7K8WPJ4USILqaijMmxbuYCtPnO44JxVYzJEG2tOSKoeByZiHOZi4dCe8OPh2KAZdeegiCIQpDIqQDW/9e/Yv3Kf1CeDHN2FTNZcvhZ+MuuYp5TyK07BoxfUTVAlAu0vdEmLxDcRYc9uyrYnES1sJ0gBrfkIJAlJ6ZuHg9p7oxicgiiovDV1oEYepgsm5YXJst6OrDGgm23AQDef/OrcAgEKe0EYV4MTIHH2hR4q4Vnd5U1hVw/gO3oQXGKyQlDsWtzs+QAnAhk0TWG1C05ouRqCSu2rxW36stCWVhyPHQYL4seXARBeIUsOTHHKhqcRITGQM8Bh1dL/0Ut8kX/8uay+EGR88oxi8fkmAkqVYJnHwXDJPwsXdpFW/p2uOwqcJYc7/tqri5tDoXn4qkGzTDjRYiZLDnkriKIsodETsyRLdlK1uc8LC/brQlD8EUtwhA2edlZhDGfbRk0Sw6zdiG3LE72hShYdhWL5KNgvffW2Bq3wGN7feEoMISKFNgdJ2gNOouJJLNvMv64Bh7Hv6ghQRDeIZETc2TZHMgrWyw5/Jcyk3MYjhRykWtqKBcpBujZXWULPHZeZMMVA7S3dQjltPLhrnKLcWGMQbTF8gSNyeG7kPt1V7ngpXdVWYgDiskhiEMBEjlxx7LAFXJfMdmhpcIQW3I0N5NpCpY6MF7QroXZ3FXFrie+CxO/gNqzq4zn0WVXKfuJphRyvwfR9vBR8TiufwMvAqYcKjcTBOEZEjkxx2bJsbirrHVpbF/MQ/BFLfGLt8ld5ZBN5HU+6nEMkePWdqGY+8od3kJidOoOc78Kz81kyRHc3FXRZSbpsT0S36AzZOCx6/0ts9RrCjwmiEMCEjkxx7qoWBtg8s9ZPmcbPxRf02ZLjnOdHCNw1dsirrmr7JYc68CI3HNBU6wLUcDtZLVs6dlVMrNZcgJXPFbFpyhKgKhlqfmNydFSyIvMxUN69vBT3Nokk7uKICoKEjkxx2q5sbqkzL2inNxVpa9ZInEih8m8+yzEIsEs7qpSZD/xlpwoauX5SiHnP3rm5dSaXRUUvhigdn3ej20Vy8VuUBmIAy9WGioGSBAVBYmcmGO1zFhjcngRpMTDDP0XM295cLbkAH7dVV4tOdb7E3yBVQNzI13YCgUQC46jmNrpy30/72h/F8GUQh4su8qYjLNoFspMHLj9nflA/tiKNYIgPEMiJ+bY3E+WRcZUYVjORue+8YEEl+wqvhJyRDE5URJ1MUB7CnkhdxWHIHIp9rLd2hLQGqeLHIHLrvJ4/+1J7d7vT3zFQXFLDisHixRBEJ4hkRN3bCnkBdxVDjV0hCH4nk4w3l3lYMkJIiC07CpRLcrteoyoXDulaNDpDu+uksUkeFkRWYNO9TiiJEEUtRRyn8ew3nfXgN0yqC/jxV3Ff4bKwCJFEERhSOTEHFvgsS3byhwPYw88HoqYHN5dxccI2bOrPK8begq51V1S2FriZqnoPdiJdb/4v9j53pvcrnyDzggCj4u5zlwCjxWRow1hkFRlmmeC/loQNIuQkjkmqq95ez/Y74OP3mMxFQf8Nbm6q3jjXoj3wkB/Lw7s+STw/gRBRAOJnJhjLwZYILsql0Exl0kp4BdOx1o9puXCY3aV5q7SLDnwKkKct2/+z+vQuv0eTHroZMftftse+Dm3sZmvk2O25DhlL+VDfjwFzl0V9PoEmLOr3OEzl2KKqZaPWzf1fPExHvjbv38a1ffMxt72nYGPQRBEeEjkxBybZcba5oGPgclnhmROPEyWkRS4mBzeshRCYAlallbR3lXeztF4YLN9T8eYnKFJIedFDuMsObx70mg1ET7w2K+lynednAqpLxPmPauxa/u7ODK/HVVCFu3vvxHBrAiCCAqJnJhjDTSWZffsKpbLFHXnRI0txd0lu8p37yrmFpNTxF3lssBmxaoiZ4zgo1Ak6NtcDNAscjT3Ff/3lRHSXaXuJ4oJPSbHd3q6qFlyitlnykHkeHFXhQ887njvNf1xIlUd6BgEQUQDiZy4Y6k1Y3UH8XVpkM/CvsCUdsHJ5czWI1OdHHMKkfqav+yq4pYcCy7HzyVqHIba6+SUMqOGubirzCLHrZaOfwxLjhTAkuOCW6aXqR1C6ePAwlPcIhX0OvjPgLXXHEEQQwuJnJhjDfS0WkqKuqtKbcnJW0WXc8Vjvwh6dpUlhdzFWqIF6bot4k4ix3zCCCJJ/BQD5AOqpZQxhrt/sus1e0MvBhiiTo4RcFw4cNwU1BtXS44nK00EAo3/O+ez4Y9HEERgSOTEHFvgsdV9xYkMIT/0dXJyOfOXuGm+3Fx918nRAkBVd1WxwFktSNe1XH9RS47W9iBCrDWNXLKrmGSkkPMiR3Nphc2uEkVRL+rn9fpEv7UHYppR5YprMUB3sWaNh3M/dLFAfIIghgoSOTGnaO8qflF0cFeVupOybBE5TouHaUH36i5RTf6CxV3llpbN9IrFzgsRS9Yac3aIG4oi8NjPnibrlpTisquM+YfNruIDj0XBXwq5hlVcemnQWQ7du711IXdvhlsQkyWH3FUEMZyQyIk59hgc9xRyQR5607jVkmMKlA6z2HkMPNYWXcOS4yJyUobI6e3pMu2rHL4Uic/OVjWZCVzmFADJyK4yiVafncOtaIJGEhN6AHHQq/TncoyryCkeHG0OPDbjVeSYLDkkcghiWCGRE3NsyVIFAo+FvD27yqvlJCi2bCpHYSP4dldpMTmCXienyDyKLMICl6bdd/CAwwBVBIQSZhaBZT2WrFmdAFOFY8kIPEaej8kJ9/HUigpCFPXzeXFDmfo32SoeuwUel1fFY/fsKnch5GgBLHIesuQQxPBCIifmWOMAbL2r+O1y1u5OKLHrIGcJrDTFlPCLhL5Yeqy4y9wCj60jVeuIVizQzV3FnXdgiCw5tpgOaCJHgCxY3VVqdpVDHJPXWBDTubh9RNFcDNDP8bRYHiPwuPj7Ka7FAD0FRxcoBujdXUWWHIKICyRyYo978T/rc9HRXVXqmBzzfJwWwSAz0GNyxCIp5Or5ZKFw4DEv9jL9PfbzIZw7Rz2J6zmVp4bI4d1Vgim7yp5mHsQaxy/IoihB5O5jMaESLNCZ2yeuMTleChaaqiKbyXu05JgCzIfBhUwQhAGJnJhjLbZnWzhla0zO0Fpy8hZLDv/r1ymbyPN0tF/DxYoBqshFsqtMv661xxFXPLZ5gmzZVbLjGcQEL3L4Lu7BP578+0YQJbMlx8d7wm7h8iIO4l8nx72iMx+TYy106d+SY22wSxDE0EIiJ+64LJQafKCqKA99Crm9To59gTPFy3hcYEVmteQU7kLOirirHOMkHBp0lhJDXAimisdCIsW5pvhaOsHr5JjeF5JV5BQWIc7WuCIxT+XQu8qTu8p4XQyYXWUq+kjuKoIYVkjkxBxb7yrr82LZVSX2HFiLnZk9AsF/0QuWOjn66wEtOSbx4xSTEkEXcmvHd5vgMrmrzIHHxhiHwOMAIscakwO+jUQIS46n3lXl4K7y0NbBmm7v1LLECVNQs0wihyCGE18i59Zbb8WJJ56IESNGYNy4cTj77LOxbds205iBgQEsWbIEo0ePRl1dHc4991x0dHSYxuzYsQOLFi1CTU0Nxo0bh2uvvRY5S2zHiy++iBNOOAHpdBrTpk3Dgw8+aJvPihUrcPjhh6OqqgotLS145ZVX/FxOWWALPLY957KrmAy7qimt68BeJ8e54rHv7Cr1OIJkcVe5BFbLxVLI+V/XmtuI/9VeLPYnEO7XaorJSaRtQcZ8mnkxy4sTJkuOKClNOh22Oc7N4XzF/34erCQxIlCdHI+ChVLICSI++BI5L730EpYsWYL169fj+eefRzabxWmnnYbe3l59zDXXXIOnnnoKjz/+OF566SXs2rUL55xzjr49n89j0aJFyGQyWLt2LX7xi1/gwQcfxPLly/Ux27dvx6JFi/D5z38emzZtwtVXX43LL78czz77rD7m0UcfxbJly3DjjTfi9ddfx5w5c9DW1obdu3eHuR/xw2bJca+bI7C8bXzJiwHmrYHHfOyLaSa27YUwLDneupDr7irXYXwVWqc5hLfk2O+9e0wOb8mRkknbGBnBYmg0+CBZwZpd5ed4ugWoiBOqDLqQe/rb8sK3SNC/l2OQJYcghhdvRUhUVq9ebXr+4IMPYty4cdi4cSNOPvlkdHV14b777sPDDz+ML3zhCwCABx54ADNnzsT69euxYMECPPfcc3j77bfxhz/8AU1NTZg7dy5uueUWfOc738FNN92EVCqFlStXYurUqbj99tsBADNnzsSf/vQn3HnnnWhrawMA3HHHHbjiiitwySWXAABWrlyJVatW4f7778d3v/vd0DcmLljbONgDj90DJYcC2xd/RKJKt+To7iqvgcfFY3I069dQFwPUTscgGF3ZAYiJNDe3vD5GFkSAuYmyImfm9pGkBHIC19csRHaVtxTyeIocHi8WP7vIobYOBFFuhIrJ6epS6o2MGjUKALBx40Zks1ksXLhQHzNjxgxMnjwZ69atAwCsW7cOs2fPRlNTkz6mra0N3d3d2Lp1qz6GP4Y2RjtGJpPBxo0bTWNEUcTChQv1MU4MDg6iu7vb9C/22OriWBfOYu6q0mIzx5ssOfbsKq+IFneVqwjR4ly0FHKXRVjgLGDWe6iewNf8AuGSQi6a3FWGyDGsX/4XSmZ1V3HXV8xdZULQGnQWGVYGwsZLMcCClhyvVhmy5BBEbAgscmRZxtVXX41Pf/rTOPbYYwEA7e3tSKVSaGxsNI1tampCe3u7PoYXONp2bVuhMd3d3ejv78fevXuRz+cdx2jHcOLWW29FQ0OD/m/SpEn+L3yIka0LstVdxf26FJnsELNSWuuONePENTNHWyz9xuR4dFfJxdxNpnYTqpDg04UjCDy2YndXOaWsA1IiaRsjB4hj4jHH5IgR1snxkkIeV8FTPAOssCXHa8VjsuQQRFwILHKWLFmCLVu24JFHHolyPiXl+uuvR1dXl/5v586dwz2l4hRaKGFezIbDXcXy1sBj2fmxTzRLjmgNPHabRzF3FbfAFYrJCUXR9H0tJsecXSVyKeTaL39+jKPlqQjmOjnBY3K0/TT3mrvrrAyyqzz0ruJfl6zZVZ6tMrwlh4oBEsRw4ismR2Pp0qV4+umn8fLLL2PixIn6683NzchkMujs7DRZczo6OtDc3KyPsWZBadlX/BhrRlZHRwfq6+tRXV0NSZIgSZLjGO0YTqTTaaTTadftccSeQm5ZZEzZVXnYv7xLu+DYemm5ZOYYFWK8CR/dXcX1nFL2d8muUuNXvBUDdI/JCWeFKBJ4rPeuMtfJESUJ1sBssxAKEpOj3L88EyABJpFY3JITRATG35IjmKxNLveUF4dMNl22V0uOudUKWXIIYjjxZclhjGHp0qV44okn8MILL2Dq1Kmm7fPmzUMymcSaNWv017Zt24YdO3agtbUVANDa2orNmzebsqCef/551NfXY9asWfoY/hjaGO0YqVQK8+bNM42RZRlr1qzRx1QKtgWnYHYVc3BXDW12Fb+QmBdTf+4qzVUgSN6yezRBILrG5PAuBKeYnFKUjLIIVD0TzByjJJhq2GjZVaIH64k7moVP785uisnx07vKUifHtQ5R/EWOF3dVIUuO98J+FJNDEHHBlyVnyZIlePjhh/Hb3/4WI0aM0ONfGhoaUF1djYaGBlx22WVYtmwZRo0ahfr6enzzm99Ea2srFixYAAA47bTTMGvWLFx88cW47bbb0N7ejhtuuAFLlizRrSxXXnkl7rnnHlx33XW49NJL8cILL+Cxxx7DqlWr9LksW7YMixcvxvz583HSSSfhrrvuQm9vr55tVTHYLDmWzXzsBZx+NZbYklMghTwMbpYcNxFnBPJ6sORowb1RZ1d5FJiKeOHcVZJkzDqvBR5z1xSiGKB2DFMdoAAxOcVnEP8UcjMufxu+iKLNXeU/JocsOQQxvPgSOffeey8A4JRTTjG9/sADD+DrX/86AODOO++EKIo499xzMTg4iLa2NvzkJz/Rx0qShKeffhpXXXUVWltbUVtbi8WLF+Pmm2/Wx0ydOhWrVq3CNddcg7vvvhsTJ07Ez3/+cz19HADOP/987NmzB8uXL0d7ezvmzp2L1atX24KRyx27e8pq2bGY14fYkmNrQOhSL8VvEK01JsfNnaRlHuUFZZx1YeImyu1jn0OUyVUyEyAKzMG1xs2Bb+sgSorwYZy7ysG642sOWlFBLSCbv0Afx7OJPy8p5LGNyTFwtzZFUSeH+0zGzJIj5/PYvnUDDp91EqREoGgFgigrfL3LvbgaqqqqsGLFCqxYscJ1zJQpU/DMM88UPM4pp5yCN954o+CYpUuXYunSpUXnVM7YKhzb4jx4S45s++outevAWjvEtVqunl3l7biGu0qx5DDXFHJ1MRcUS4WXxctwITiInQhicmQIEGF3HZp6V7m4q/TrMcXtBInJMQKYreco+jku1LvKQ+p1bHtXeUoh5+oLBbbk8EHY8bLkbLjvarTu+iU2vHwOWpY+MNzTIYiSQ72rYo5N1Fi/nE0xOQ6L4ZBbcgpbTLxiWHKsKeQugccoLHJMMTnWJqdM0GNyohCFRrViZ1cjA0ymIz7wGFydnCiyq2THmJxibR38u/HMDTqHPsvPC+Y5FhdrkqWtvOf6QjG25LTu+iUAoGXvb4Z5JgQxNJDIiTs295N74LEI2cEVMbQxOU5NEM2OG28LoARL7yo3+4BXS46TyAkgHgoh6NfrIphMmVOcu0owYnIcs6sCxeQo908W7CInWIPOSuhd5S+F3LbFc50cCjwmiLhAIifuFImxYbY6OUO7wNhqh7imHweLyZGkYoHHWgyLInJED7/QrXFNDHzMT3j0jKZCXchNKeQJW8VjxQLjr9+X6VTWmBzRu7uqYINO951Mo+OOmxArlMnmtU6O6f6VuBgnQRCFIZETc6y9qwqllIvD8YVaoOKxc5aOzxRyNSvIva2DZskpXAzQnEKuuYR460N4eWOkiLu4q7hqQbycEkTOssOJVk0IBXH7GRYhrvs4K9z/ywnBklrvmkLOB+zGdWH3lOZewJLjOVOKOw9ZcghiWCGRE3eKFAO0WnIE63d0iRcc2xe/oxUA8Gsj0dxV1gwQ21E0waJmV7kvXu6/rs1WihBWCK4lA2APbmW6JQemmBw9uwqGtUCGyLmr8tjxl0345KZp2PD4v3uaila4ju9mLuvWosLviWCxVPF3V5licjwEHlsJFJMTs8BjgjjUIJETc2wLUoHeVEp21RD/ii7oruKsOoI/d5UmckTdXeVihdCEhVhY5DgFHjv1kopigTYywVxcIpaYHElK2Cw51picnl8vxXjsQcvWW7zNweT2Ms6rHC5ITI42FTdx4PokRnjIACvUgT1AdhUvct5/88/424fveDsGQRCRQCIn5thEi1X0yMXcVaXOrrKa4x1cVKYaLf7cVXp2lYu7SltE9KJ3HlKctXvIB/lGQ2F3lUkAmiw5nNVG7QWmxO0YMTk1uS5/M3G4Nmtws/u+Bf6GHgKPXeOihhsvQqzAvbEF2bsOtLur/vbhVkx74kwc9ssF3o5hoa+nC+t/dSN2vr850P4EcahCIifuFKmTA1t2VeFA5cgpYMkJ0o5AI6GnkKcsW1wCj0Ut8NglJgf8vBx+kUeaQu4ceGykkNvr5MgOlhw+WDvFBn3NgVlSyNUzqYfzcY2a0CoiBM2uoJjG5HC4Fo0s9Pf37HqyW3I+fuV3Hvd15q3//A4WvH8XJvznZ0MdhyAONUjkxBx7Y2trnIdF5FgodXxEwRRy0yz8uquUa9FictzrtajWE6FwXUvBIePFFCMTBcxsybFXZ3Y+kyQluCBjLcZI5F6TkWYDPqdit+QYMTne6+R43lZmvatcKSDMrYUv3U/jEJOz9y/e9nVh5L43ANhr9xAEURgSObHHpyXHyhBbckzZVaZFxV9mj+GusgQeF00hd2vrwNfvsY4RdO9RFI4rw5LjXifHZPkQJUOM6JWK+f0Yqn2KHK0Fgak9hG7J8X4cW50cV+IvcrwUAyw0c617fVH4ODlV5KT62r3t60Le2sONIAhPkMiJOVaXj732iqWhoN30U6KZqeQzltPZrQR+Z8BkGUnB3LvKbZEV9OyqwnVyBKfsqqgbdBZLIWfW7eq5RcNqY7irRCMYmcmoEfy5q+DgrvJqTSvozvLSuyqmIseTtamQqy1AMUDNkiNZK4P7JC+QyCGIIJDIiTuu/Y8UBJslZ4hjcizuKpM1nbfqCN7jQWRO2CUS1i93ZxHH9C7bxRcvq7smshRyy/HsCylzfCxJvCXHIfA4QGyTXCComvlIa9bq5OhBy64xT3zgcVxjcoqLnELNRYN0IRdV64/IQooc0RqbRhCEF0jkxBx78T9395VrZlEJESy/UJ0WUGsQbTHynHDS2zq4pXjrgceKGHK35NjdVaZ7K7i4mPyg7qpbT1zr5AgmvSOKktF7S7dMCTA+nv7npAcec+4qbV7FemE5C9EigcdlEGzM4+6uKpBdFSLwOKwlRyZ3FUEEgkRO7PFR8djBXVVq14FV5JgIKBjyOeOYiYRZ5NjPod6PYu6qAqX2o7tDZuuJ+0JqvhZRkrgUbd5dpb4UqK2DuQu58lj7f5Er5iwWkiUmyr0LucVtGnOC1MlBIEuOGkDPWXKCWOYYiRyCCASJnJhj+9VdwF0lDUPvqsLFADX4NgbF55fjRI5kc1dZjmxNIXfLPnHMruJnGF3vKuaWju7S30kUJT3+RuADj0NYl7T3DYPRxd0QUoUXWd5dKARJIY9pTI55XsWzxGybPIoc/u+l92DjgpbzXuvtcMjkriKIQJDIiTsFKhxbnw9HdpXNkmMSE3ymlfaSh5gcXuRI/iw5ykuFU+mtc2AQIIjh5Y22uMkurjnjvObsKlF0s+QEb9CpHUc23TflsVzUXWUXOdxGt724s8RT5PBzd8/CK3Cvg1hyYBc5chBLjrVRLUEQniCRE3OKxeRY3VX2X/2lFjnWwGP7+fxWFOZ/6VrdJdbjC5aYHMB5EeHdVbr1y2GuoRZovVmoGl9jW0id6/KIoqhnhwmcm0nPuApkyXFo0Al/lhyZCVz38sLp54JpYY+nyDFbm9yIIPCYQ7PkJDh3leceWPy5OUtOPkdNPwnCKyRyYo7N6lDIXSUwh3iL0i44oi3wmMti4s9dpJ8Tj6x+ieeZoLd1cO8Srp5PNCw5TouIqeIxc8quiqDisXrcPJKOx9KFh8U6wrd1MAceB7fkOLd18Bj8raef2+N53Ci3isfu7qoCc/caeOxQJyfBW3ICuKsYV/l7cKDX9/4EcahCIifm2KwBti9hy5e1ZYEPlS3kAc3ykGVFUrhdOnM7kVP7N+W5eBIDZ0sORMPi4+QSM51Xy3KK+N5o9yKvW3KsbjHDXWVzZenxN5olRzSEYSBLjlE5mZuhZR7OaOnnsqOwdEkh5y1l3qc5xPBCzH9MTih3FaJzVw309fjenyAOVUjkxBx7F3J3d5Xj81K7q9RFOQtVZJi6fQc7t5zXLCLc29PNEqSdo4glB07FADkiKQaoWXK0FhMufcRcnFbKPPSYHK5TeaDsKnPjUv6MxdwustO+Re9PGdTJMcXkBLDkeA085u+FerxESJHDTzcz2O9/f4I4RCGRE3PsOsHdXeX0vNRo7qqsYBc5Gkwwelf5CTzmLTmCS6aRbuniLTmOMTm8JUe7R3ydnAgCj2Ut2Fftt+UiyBwL9AlmdxUEgTOJOLu9CqHX5HGqk1PkT2AIJMcDO+7D39+4Bh6bQ7CLB1DbtgRwV0mqJSfJuas8dzPnELhzyxSTQxCeIZETd2yWGr+WnRLH5OiWHDUOxcEtpGzwHpOjBR7nuQVaUM31IrO645TrF3zE5Njr5HAdwUMs0AIrInK4s1jRA48ZF3isF+8zz9dTCjJnEbJtKtrWQfm/nw7m/P2Na+CxJ6tmoSEhAo+ToS05xj75fLjCggRxKEEiJ+bY4idsvawKW3JK/avaKnIcLTk+ozS0QnYyb8nR6uDARcT5islRg3K5VOoovFV6TI4+F/c6OfZ4HS1micuKchGGuaylX5gDep0chwadxdxfRmaWQ9CyC+VgyTHF5LgWjSwgZLy6DS2WHCbLSAvhsqv4Hy+yh78/QRAKJHLijmy1OpixfSlrcSHMX9fvoEjq+XIODQTNHcl9tHXQsqu4t6cmcqyZO/r1cyLHMYV8CCw5Rkd0ZS7WNhuaYGUOgcda4T/RQ0xO1ovIYU4Vj71la2nuKsfAYw+WnPiKHIMg1ibvrmDj2BLyyGTMHeSZ10afLucOUkyQIA5VSOTEHVvwqrO7xnhucVOU2F2llavXRY5rxWNtOh5ichyyq7Ru5DZLjrqgCFKRmBz+V7wec8JbcrQU8uBoVi2jz5B7+r/dkmPJrhIE1+yqvJdf8nq6ut2SU9xd5ZSZVZhyaNDpydpUQAB6jckx1wySMThgDhSWAwSS85/7fI4sOQThFRI5sceaMm3dbPnCLPQrvARoC7thyXGJyfGBYUmwW3JEm6jTYnK4ooFO2VOm16wCIxrsMTnWeCnNheQUk2O15IgA516SmbFPzssix7u9tJc8Cl+tIrLTe8gt/dxbob3hhrk8dhtjwWssDXd/JZZHZqDPcpggyQHGMfmK4ARBFIZETsyxWiWsvybtlhyuzgpK7zrQytXn1YqsToXgVFuL6Vkh9OwqgY/J0Sw5luvVnkvF3FX2mByTGHLrcu4HvfqyJnIsm03ZVYXdVRAEU68pvieXt5gcuyWnWPCwjmwPWi4mkEzWC4EFakJZajwJsQJWloLxOi7HkCDbRU5Id5VMgccE4RkSObHHPXgVsH/xaindORQrzhcNkl4bxu6uYk4p2p7cVarbhxM5YkKLc3EudigI3rOr9OBezrISRZ0czarFXNxVxrV7seQYVZiZpXVGPlt8kWMO2VVe6+SYYoc0itwfm/vNoxWv4+MPcGDPJ57GRol776oC8/YqcjgSyCNrqWsTSADy2VXkriIIzySKDyGGE3uQqEudGBUxr3wBGnVrSjUzBa2Sa75gl2R/AkL7perorrLF5GjuKhEyExQrgsOvcdEhu8qZ8CnkmiXH6lrTRB8DHBZT5R5p18cELrvKIkryucHik9EtOXwXchFg7i4nfZyDu5A7sNte5mceRE7n3nY0/fwEJUj+nzuLjo8St3dkoZYU1j5truMs2VW5QbMlJ0gPLP7HTJA6OwRxqEKWnJhjKz/vll2kIsmKyMnBJY05YhK6u8oh8Ngpu8rDfIxF1iHw2HL9hntHNGJIHLpsO2VXGdMTIgo81kSOS8doUxdyyyZBizniFjP9eiyWHC8xGczurtIv12NMjp8UcmsmmZe4k7++9TIAtefaELi3rC41ZwrF5HgVF5zIERiyVpETwCLEz51icgjCOyRyYk6xLuTWX55WkVPqmBytXL2riwbaAhnSXaWKHAku7ipR0kWOU/aKY0yO64yDYbXk2LuQu2O4q7gaNZpAsbmrvKSQa+d2ECpFBAVziMkxjuu8j/VavYicwQO79MdDkRZt/aw4CqtILDnmm5TtNzfUDBKTY3IDkyWHIDxDIifuuPQ/0rBZcpglaLfEKeQJVXTIToHHQbOrHESOW+Cx/qtZkKAt6F5jcviFQ4gg8Fi3wojOXchRMPBYc1dpKeQS564yL2qeulg7WHL0wONi7iqHDubcRsd9gsTk5LuNWBwvwdRhsQoxv73VPAcewypyui3n9W+1MrV1yEdzr+IYHE4QUUMiJ+bYvoitlhzLF6pmydGbRA6Ru0qWUo7zU3Dvw+SEs7tKi8mxWrI0S45guKs8Vjw2ZiQ4OJD8o1thJGeRw7vH3LKrJL1Ojmh0JreINtlL4CnfA0s7v9c6OXrFY4f0c/e9HI9RCLF3j/44k/EQZxQSW4yU431wvzeC7NFNZK1rNHDQvDlQTE70lhwqKkgcCpDIiTs2d1VhS06SqSJniGLKNUsOk9LKC3wcjmmq3t1VTAs8NrmrFOFgc1dxlhwtULZYxWPDkuMUuxPCkqPNTXNX2Y7PBR5b0ARNQi/EZ1imrFk9XmJydGuMKfDY699ArZPjlFHlsq9VQHiqBcOJBk8FDkNit+QUq6dk2ebVXWV13VlETqAUcvAiJ1hMjvW8gXpoEUSZQSIn9jgvlBrWxSXBzJac0sfkmINtnc7ndwaybFgzNHRLji0mSUsh5zqdO3x5m8v4O7R1EKOw5KiLiG7JscCnrNvaOijXp2Wr8TE51sXVU+BpgWKAxawssmNMjr8Uci8LKH9dQyJyvFhyCghA73VyLPeib79lc7gUck/uSgeslpugxyGIcoJETtxxWdSN5+btST0mR0shL53IyedyepaKkyWHFxNeXSXKgbXKwZwlR9QCjy0iTxVZgihxi7hDTA6zW3Jyuljge1cFRxNggi743BZVB3eVemZdNHLXbrXkeIrJ0K5XsAsVViwg2sFdpR/WZYEOEu8iysZ1eKriHBKrq9PR2lRAgGh1kIphK+vQt9dyCv8ix1QfKqglx1qKgEQOcQjgW+S8/PLL+PKXv4wJEyZAEAQ8+eSTpu2MMSxfvhzjx49HdXU1Fi5ciPfee880Zv/+/bjoootQX1+PxsZGXHbZZejp6TGNeeutt/DZz34WVVVVmDRpEm677TbbXB5//HHMmDEDVVVVmD17Np555hm/lxN/isTkWOvGJKGJHJc05gjJ8EXOEqrIcVhATX2YPMXkaJYcw+UmJZxFjmZBEERBd684Bdaaqt2q97D7k/cBAHulcdDr1LimFhdH/1u4xOSYA48tm7SYHO0YguhqyWFeLDmaNcaxC7n/wOOiXcitx/ASk8O5q3Kxiclxx6u7yvpnT/SbRU4QC4opJsdzKrsZq7sqHyTLiyDKDN8ip7e3F3PmzMGKFSsct99222340Y9+hJUrV2LDhg2ora1FW1sbBgaMTrwXXXQRtm7diueffx5PP/00Xn75ZXzjG9/Qt3d3d+O0007DlClTsHHjRvzwhz/ETTfdhJ/+9Kf6mLVr1+LCCy/EZZddhjfeeANnn302zj77bGzZssXvJcWaosUAXSw5slh6d5UpWFQVOaXKrjIadDqn0AtCoqAlR3SokzPwyTsAgK7awz1VPM4MDuBvH2513a792hbcAo9NbQWcA48TfOCxej22wGMPlhxjAQ8gcvRCgj4qHtvSs4svoHwg71BU8RWshSQdA9Sjt+RUD1osOUHcVRHE5FgtN5RdRRwK+I5OPeOMM3DGGWc4bmOM4a677sINN9yAs846CwDwy1/+Ek1NTXjyySdxwQUX4J133sHq1avx6quvYv78+QCAH//4xzjzzDPx7//+75gwYQIeeughZDIZ3H///UilUjjmmGOwadMm3HHHHboYuvvuu3H66afj2muvBQDccssteP7553HPPfdg5cqVgW5GLClqyTE/T0ML2nWvWxMVfLl6QbfkOOGvTg5zsEJoMTnulhyxYMyJuW+Rsj1x4APlOkZOKzonAHjnrr/DnP4N2LLwP3HsZ/7Ott2w5KRs5yyKJnJMKeTmzuQannoXOXYS11yGxerkFHJXRZdCLplETukL3Hmbo/u8vYoc63t8RM4ck+O50afp3JxAC2rJsZyXYnKIQ4FIY3K2b9+O9vZ2LFy4UH+toaEBLS0tWLduHQBg3bp1aGxs1AUOACxcuBCiKGLDhg36mJNPPhmplNEqoK2tDdu2bcOBAwf0Mfx5tDHaeZwYHBxEd3e36V/8KWy5sT5PCdYKxKUTObmsYsnJsAS3IHO/OANWPIaTu0q1jogCM5nd9fMJkrEoF8uaUrenBvcBABINEzxZcub0K+/P7Np7HbdLmlUp4d9dZYgcrr6NVrvHaiXxEXiMABWPjfYT9r5XbniKd7Huw4bWkuMlA6ywJSdYnZyR8oGi5y1GFCnk1v2iisk52LUfuz7aFsmxCCJqIhU57e3tAICmpibT601NTfq29vZ2jBs3zrQ9kUhg1KhRpjFOx+DP4TZG2+7ErbfeioaGBv3fpEmT/F7i0FMkhdyt0SATnDthR0luUHFBZpDkFlO3isfe0WNyRLu7CjB/OZticgpUPBZNKeTKIpPIKyJNSNdYzh/MjG8EQbu5Co1gYGsAud7WQY8JEqH99ayWHE8xGXomFydy1MfFu5C7W3LcqjjbrSTF76HEBR7ns0MQk2NxV/m15Ehe3VWWa68TwjfoNB3Ta70eCzZRE5G76qOfnIMJD56Ev7z+YiTHI4goOaSyq66//np0dXXp/3bu3DncUyqO7YvYYtlxWXTkAm0WokJbmLJCwqgY7BaT46MLuWHJsRcDBMxf1pp4EQTJh7tKeZyQlflLyWq9d5UyRQehxh3TzQ2lzUVMaO4qyzHU3ZwtOebXmCnw2LI4+wg8RojAY9kpM8uju8qpf5gVXjQMRT+moJ3SNbxacoq5KQP1ruI/5wEtMLbsqoBuLyuzB98AAAw++8+RHI8goiTSinHNzc0AgI6ODowfP15/vaOjA3PnztXH7N6927RfLpfD/v379f2bm5vR0dFhGqM9LzZG2+5EOp1GOl0odiSGFOldZTXB68PE0lc8zmYUS06Wt+R4LDRXED0mxxA2iUSS28xbcrS0bT4mp3DgsSbEkrIy/0RVbdEp9fZ0oc6yvzKXPN769zORSY/CUaqlQEw4p5Cb741z4LExYUkP/LXVZ/HwS15wcFcZ0/Afk1M8u8pSG8aLJYdzV3mq4hwSL9lVTu6qLJOQFPKQPNfJUY7RhVo0oNdhs3+RI/qw5DBZBmPM9MNAe50n6picVN5+rQQx3ERqyZk6dSqam5uxZs0a/bXu7m5s2LABra2tAIDW1lZ0dnZi48aN+pgXXngBsiyjpaVFH/Pyyy8jmzU+zM8//zymT5+OkSNH6mP482hjtPNUDEUsOVYTvD5Kq9VSyjo5qiUnJyQcU8SL9UhygxWx5ORynMhRr0/k6+Q4XHOCX6A0kaMWTkyka0wxOU77d+013KCJvOF++HDLesztX4+TOp/RM6MEt8DjQr2rRMuCxFlyrBYEL9k1zDEmR7vGIiKnkEBxq3hsKwZYfCFPmERO6S05Vteus9vIfn1ZaJl9XrOrFLrERsftgdxV/NyLWGA2/fsi/O1fjsXggLn7uT27KtrvBlNtJ4KICb5FTk9PDzZt2oRNmzYBUIKNN23ahB07dkAQBFx99dX4l3/5F/zud7/D5s2b8bWvfQ0TJkzA2WefDQCYOXMmTj/9dFxxxRV45ZVX8Oc//xlLly7FBRdcgAkTJgAAvvrVryKVSuGyyy7D1q1b8eijj+Luu+/GsmXL9Hl861vfwurVq3H77bfj3XffxU033YTXXnsNS5cuDX9XYoR1wbH+0tR+4cnM4u4YAkuOJnLycA48Ni/qftxVWnsE40tT4mJymIMlB6Kot3VwWqT5dhDaPimmzN8qcpzo2W80k6zNGYGkmT4jeL0KGXXabr2rtHm5Bx4bz422DtaYHE/F4BwadBoxOcX2dcjMKpZCXtBq5UxiqC05tjk6uDUdXhsUFNHq2ZKjnqdHGum4NUgKOS90i9XrOb5vLSaxXXh/4x/Ns7K2dYjAksMLNr+xdwQxFPgWOa+99hqOP/54HH/88QCAZcuW4fjjj8fy5csBANdddx2++c1v4hvf+AZOPPFE9PT0YPXq1aiqqtKP8dBDD2HGjBk49dRTceaZZ+Izn/mMqQZOQ0MDnnvuOWzfvh3z5s3DP/3TP2H58uWmWjqf+tSn8PDDD+OnP/0p5syZg1//+td48sknceyxxwa+GfHEWwr5AFLmYQXaLESFVoo/J6S4mBbn8zEfxQCd3FWSS+CxZkFQzu8ek5PgRI62YKRUUZKyBh47LEKZvi79cVo2aj7lBgwTfVKwuKtcFnrm1A7UJnJ4S45lPp66kDPn4/Lb3HaV7Vlg2h7uFY+tlpziC3mSFzkRddYuhM2S4zHwOAu1b5rnwGPlGAOpUY7bAzXo5GPKCoiczKDx3pSSlu8Ey375hy/Au6+ZreF+GeTKSMhO7zWCGGZ8x+SccsopBQP2BEHAzTffjJtvvtl1zKhRo/Dwww8XPM9xxx2H//mf/yk45rzzzsN5551XeMLlTrEGneqXX0ZIogZchopY+gadck75guPdVebFjm8t4ONXnvZlzF2DIIrIMwGSwCCb3FVaTI6kBMoywLpQMVlGQjDuoyZyqtggIADJqlpnMcDBZ/8kOLdFbrDHNlYLPLa6cMyTssbkOAUeq1WYbdlVXmJytIXUoQt5sUVWt8DxViBFcLqlL9usVh5EDn8fPdX+CYknkePwWk5IAszeHNYNzaqVrR4DPiSnG7WoR2/AOjne3FX9fT36zx3tfajvZjnvFHkn8PQ5wPwuBGWwvw/az1dyVxFxhKR33HERNRraF3fGasmRzM9LQV6NmcqLhiXHydxvMmP7cFdZvzTz6tuVzwoRHQKPrfEgWUvzR1HOgckyqgXVklNtDjx2zK7KOYucfJ99gRBd6uTox3Vy/VgXCK4YoC2rx4+7yhTr401oMgdXl6yWJHATOaJLx/VC8PfRU8ZYSLzU8nGyfGY1d5VHkaMfv2as6fkeSSmdEcRdxVdrLmTJGew76LotSPfzYmS5uJ9Sxv8RRFBI5JQbli8SrQJwRrCIGqn0gcdyTjGN54UEtyBygcemU3uPydGtEBZrVB7Kgi071ckRRMPyYPnFmrPUYJGQM5nZ09W1JuHhJHL4YnUpvohdf6dtrJR0zuDTfuEz2AWc4OSu0mJyrILBS50UfSENUCdHi8nhRJEmctysCHYBUXwh5+8jG5LsKg8p5A4CJKdWD094DTxWjyGNnGgcg4nIiKpbNEAKueQSk/PmC49gw2M/1C1ng1yMmDXOKWjPq0Lwwc2eK0ITxBBCIifu2L50rTE5ypdfzkXklDLwmKkWEsWSowXJupzPQ0VhHYdigAD0wGLZoU6OKHG9qyz3jM/GApR2AoP9xpdzVXVt0cBjxgmlJG+BcBI5urvKzT0ioO7cH2E3RmHDzOvVCzF/FFkBS461bo4TWl8oQTJS742Kx4X3N1LIOeEn2AVm4WMUn6PpPg6Du8rrZ0MTOZJHC4wmvKW0xUIoaO/fAO4q3pLDiYk5L/8ftLz9L3j1t0ovwUy/4R+ztsoIEgtUjOygcT6+JABBxIXSB24Q4bC6q5yyqwTDpK6PG4JigJoLRxZdKh47uX08HFf/pWp1Vwl2kWPqXaXG5Fh/oect7ioJeQz2K7E0OSYimUqjv8+IrXFyJ/CWhpSguLsEUYQ40GkbK+nuKutBjIDeKdPngi3/AOM0cWOrk2PE5FizegQvMTnqGMaJHK/WNMNdxYkcTXB6tOQUi8nJ53KQuI7vQyFyrH3PnAoWOrlbc6Ly2fJqydFEKV+le48wmms7EsSSw9V5cvgbJN5/DsA3ke033sfWtPySuKs4i6jXwGyCGErIkhNzCvXSAYwvbu2LWMel6m6UMDUjRhaTzhWPtXEQuGq7Hn7FFnVXcZlSqsgROXeVdYG1iRyW1X/xDkDtnl7MkmPJ/tHifMSsvQBaIqUe02bJUR9o94q33tjcV5IReGyNBfHgdhDymiXHeF8Ylq7C+zJHV5cak+MqcpxrArmRGTS3OgjaqsAPNpeaUwq5gwzPi1pMjkdLjvb+FSSsb7oQWSah68x7ddEYKIXcZMlx6rmlvJYd4ESO5T0bpGdWMXKDhkWULDlEHCGRE3OsBfVsDTrV7XmLyNEXtxLG5BiWnJRRJ4dfCAKe24jJcXNXGV+mRp0ciUtzNn+Z5yyxCQmW183sg1Y3H4oHHgPGIi3lzAXXZCYgqaak22WTEZNjQ7C6q0QIcHNXebfkgHdX6UKuyCKr972yu6vcBJbfiseZjPl+DklMjk10eisGmBcV0ZoU8p6sIUZ7jwROvOIe9P3jO5hx0he5mLEAFY+5uWuxL+a5KPPOciUNrMHcpXBXmUVO9McniLCQyIk71mJ/li9m7del9kWsIbgUpIt0ajnNkpOyxZQARqqzLPAWmWDFAAFe5PCWHHVBEQXXLuTWDtcScrqZXctKM1lyHEWO+Rg5dZFO5M0iZwApiFosjWuBPLv8Eaz3j2vrYM3qKVYMDjA6fAumNGKPlgSntg6aVS2iFPKszZJTWlcHk2WTewxwFrNOMWWyZHy2MpkB23YrmigVhASkRAINo5VGwnoafoAUcskhuyrHiRjtnDIXIyNbhHkpLDl57n4kyJJDxBASOXFH/dLV0qfdUsjzkkXk6ItbCdM6VXM4k5J6eTve0qSJi7yYNFw0HqajBVYKbu4q7stay5gxN+i0ihzzl28COWRVd1VG9NjLzOquUr/cU3nzYj0opABRy4rygcWSIxQMPPbgrpLNLSbAz8hzTI69To6bFUJzV2livFgGlzXjTShxTI5jtpfHYoB5qVp/nM0U75au1bQRrL2jtPsZQNBJpmKWyv78+1r73OV5kWO9py5WqCCiSz9kxhD5XmOWCGIoIZETe9TFw8VKoRW5k10tOSVEW/jFJBdTwgWTqnErspD0NRNdKFlEjlZRlQ+oNGVXCc6BnTaRw3LIqV/OWcEek+O4QNtEjrLYpSyWnAyMmkGi1XIAd0uO3V0l6HOyWnJED7+YJdluydHdT0WDcuztJzRLjlNMDpNl/VpzelxUYatB3iJyvBQ4DIOTFcPJouUYU8YJRZsFygGtpo0gWd+//jLUePjea5rIMdd/UoVpxt1d5WbJsdaR8oOcMe4HiRwijpDIiTvaLzTYY154t41steQMQUyOoJrDmZTWM8R5c78WrJsX+TTm4r8adUuFi7uKX0CN7CojuNn6ZW4NPE4gD1kTOaK3wGOrpSGfVSw5aWZe9DJC2iyY+F/JDrEu+vEt1yqInCXHcs+CuqtYiOwqXcQ6iBFeFBbqH8aTGzS7fUptybE2pwTsFj/1VftLYgJZplx/zoMg0GJTRItI111+DvfwvTdexitP/MjVqiKZYnJU15SDu8okcvLWmBznY2c9uODckLO8u4pEDhE/SOTEHMHiruIXKP6Lm1lEjlZ1t6Rz491Vol2EaXEsTOS6lPsoBmh1V+m/hHl3lS5yJL1WkGyxEmhm+4y6UCWRQ179RZ5zcFc5/sLPm4+ZUxeGKmZeILJCCiInWExWoYLtUOwxOXC15BRfTDRLjhh1TI6TJcdB5BT7O9vcVSWw5Oza/i523zQV637xPUfriWNMjoPIYYKkdyLPDhYXBIIeJ2YR6Wq9Had0+aN++2Wc9Ob/w5Y//dbxmPx7QEvV5gPq9WD9rCG6rRmBbplxOQ8uODcYd74kWXKIGEIiJ+5ogccOdWhMIidhNEDNMePPWsrAY33hT1Tpv/R5G4WRYp7y1aHYreJxoewqUZSQU4UeHycAALL663tAdU0lBFmPXchLyn2ziQwrlkVY+0VfbRU5otmSY7Iqmbqym2FOFY/V12x1cjxksWjpvGLCEHGe3VXQLE7cnNS/hVMhQv4ac1pwbREhZQ0GL0Xgcfuvv41x2I/W7SuQ56yemtiVHc7pWMxSEJFVg+et4swJvdWI5GLJKWC16t2xyfaaW+813g0raTFYWeO9b7fkuLmrwogc4/1PIoeIIyRyygRZDbrlYwZ48zPjFrNBFO8KHgWiKnKEpCGwTDENuiXHn1XJqZgaADBoTSKNc2hmfFEQ9QwzljG7kDQxOAhuwR9Uyt9bs9IAl1/4VndVZgD5XA41gsXCI6ZN8TXmYxXIrrKJHEkfZ63PInkQBNqvfSdLTrH3hPG+8lYMkBc5uhAtEpOTs7hISmHJGTHwiTEv7rOiZdTJjq4nh5gcUdI7kVvn7YQWeGx7/2ouvwIxOU5WHmvQtKSLHOM4CabWbeJLGuS9xeR4ccG5kuO6ngvMNCeCiAMkcuKOLSbH2ZIDTuQMCGkjm6mUIkfWRE41F1Nij8mRuewqL+4qUVvwrNlVeidsZXvX/j16WnBNfaMuWPg4AcCIXRgUOEEzoDQylBNK5kyxwGNRNi8E+WwG/Q7NEHNi2pQOzi8srFBMjsW9KIiGJScRxF2lWXKSTsUAvQUe85YcrYK2UzwQL7a9uqusLsVSiJxa2ejjxDcW1WojOVllHO2NgqiLHGvAtBOaa8kaZ6VVn7a6jUyxMg4CyFrnSSsMyFvDtPRtKce7qyz31MUC6OWa3BCy5h8UYaxCBFEKSOTEHmt2FZeizZnghaSR5jrIiZxSImmWnESVs6jis698uKsSqngSUzWm1/OCttAoIqbjo7cBAHswEjV1DXrwNbN88WqVX7OCYXGCasnR9kmmjG1OcRd2kTOAgZ5u27i8VOUumArUyTFbXAAIUoHsKi8iR9knwYlfFKhKbaJAdpXTQskLOS3N39ok1Yp1YRVL4K7iA2H7e41u8Zolx+Yyg8u9ESS9f1U+68GSo1qDpISla47gHHjMN4t1Ckq2ZgdqVjo+8FgTOWKem59VTLn0zAoTk2ONVfOSYk8QQwmJnLjDzCJHMFlKuB5OXEyOkuED2/iokTQxkqzS3S2mRUIPTOYX8OLz0UROoqra9HpWjZ/Jq6Xru//2LgBgT0rp9uwmcrRUWr4mjpRRrDBMteRIiQQGmLKQDfTZxYvVgiHnMuh3GCdLaYh8YT9Hi4aDyJHMIofPrrIWsfPSI0hf9Ewd0f1ZcnihLOgxOd4Cj4tVPLZ2yPaSMeYXPqX54L5P1HkJnGBxWpCdsqs4kePFXaXHiVncVVr1aYu1ZqCXswg6WnLMrxmWHLvISfIlDTy2dQjjrhJy5vsRRjARRCkgkRNzBI+BxwL3iz0rVgEe3QZhkFTrhpSuNkQONz8tjsUkcjzMJ8mUL0rJYsnJSspzLWg4u+cDAEBPzSTl0JrQs1Z61dxmQkIPOk3kesz7wAhM5js5a0gWS46cHcBgr5PIqXIPPC4g8OyWHBFu1jgv5fO1BV5K8On7HmNyHNxVWjq/U9AzHzOS91jV11qNV4g4/ZjJMuqZ0cepb78qclBY5Li5q/KqFcbJ+mNFd1dZiwHqQtFsmRngmmo69UKzNtpM6G0djNeT0EQOJzqsgslFSIZxV5ksR/AWmE0QQwmJnNhjseTwgcequyrPBFM9lKzo4j6KmKRuyal2PJ/RP8nobeWFlBpEmUhb3FVq5VmtFojY26G8PmICAEBWBYv116W2GMiChJyaCpxURY6QNM4xAGX/DLfoaEiWhUnOZZDpt8fksESVawq5HpNj28scO6O8INnumZY1J3rIYtFETiLJZ1d5FL76PLnzS+6WHDmCmBzr/Q1Ld9d+U0ZSplMTOYZgcQo81n9UME7uCKJreQIntI7hkrWMgx7XZHFX9fEix/6estb40aucc/PXRE5KNt77gkWYu2W8Wa1qfhAt1iISOUTcIJETd7Rf1U6Bx+qCk4doClzNiVV6m4VSomV0SKkqLtiWt+Qo2wWf7qqUaslJWkSOFiSsiZzkwH4AgFg3Vp2QJnIsVWnVRUIWEnqKc1oVOeAywzR3lpPIsVYZZtkBZB1EjszFJwHWzBj12h0sNFLSnOWlBK2ax2XU4Fcv7qqkOkZyclcV62Hk4K7SU8idrEh8dpWeQl74HNZeYF6qOPuh50CH6Xn+oCqIIeqxXc6Lu7lyszI5CXn1+q0WKCf0FHKLuwoutYb4zuGJrP29Z63xowlY3l2d0txVXEkDwVonxyWry1os0w+SbLXklL7RKkH4gUROmaC5Afg6Hn3dyiKfQwIi1206Jw2RJcdkcdH6LDlYcjgB5liHxEIKynGTVRaRo1ld1FogVRnl+hMjmtTzqCLHGougWXLEhG7JqZKVY/AB2xk1MDk3aHcZaFarHqaMlzN9emwQjzCi2TXwWCgQeGwTOYJoa9qZURfnhAd3lVazJJEyjptL1ipzGrSLMxOO2VWayPEWk+NcTZjbJ28VOdE2j+zZbxY5Yu9u5bwQ9ArcToJF+7zoAdQAIEjIiz4sOXqrEcmywdkaxovqdM7BkmNxV2kClrfwVAlZyPm8qTilNSjYTaB5EW5uJCznCOP6IohSQCIn7uiWHO0LU3n+yt1fxdTHFgIA+oUqU9E3c1xIKUWO8uWbSFVD0JtSckXLeHeVD8tSlSqeUlW1pteZKnJEVeTU5Q8o4xsVkaPV65EscQJa4LEsGCKnhqkurxQnckTlsZN4ScuKdahTbFCOlelDTguAhjHP9JipZncVX8uoQDFAyRqTIzlZcpQxkgd3lZPIkZMjlPMPdDnuw01afeBgySlaJ8f8PnU9hbqw9jPlmqLOrhro3mt6nhxQnud5d5VTdpWDyBFE0ahW7CMmJyFZywI4p+HneJGTt7/3rLVn0siAybItVqe/7yCqmCEyrK4k5pIZ5iXOyA1rrBoFHhNxg0ROzNHcA3lLReGTDqzSxwwIVSZLTj5hzkoqFWlobqVqpWs2nGNyeHcVKyK68rkcUoLypZ6yWHIE1RKhVXVtkDsBAHWjmtXtynVbgyG1tFwmJJBTF7gRusgxBEpOy95ysORUqT2qehKjlBeyfWCDyoK0Txyrj6tvPsLcB4t5c1clbJacBGCx5PSLyv2wppRbyedyesPMJHdcuUoRaOKgPWCaR7fMcJYcrbCdk8XFFJPjMfBYKxTZr1rPpIjdVZnuPabn1YP71PmJSt0muIgcrS4VHw8lSJBVSw4rYvVgsqxnw1kDj6E1zbVYw/Jcv6lq2SHw2CJWEoKMbDZjq4PT39uNahjvfa2OlT43S9ah/noIS06SkSWHiDckcmKOVtwro2YWCUxG78FO05iMUG3qVcUSXCBwCbOr9DiAdA2ktLJY8V96Itc/yQh6Lbz4DQ4YX/JVNXWWE6qLfL4f2cwgGqCMbRijBB6Lqsix/rrUFgMmJpBXLTmakEpUG+fIqYHNsoPI0do39CdHAgCETC9kVeQcTI3Rx42ZeFTR3lWOlhxbTI5gq4I8qIoca3FAK3zDRd6SI6giR8oUFjlaLRzmZMlxjMmxB+sWa+uguasGdJETrSUn37vP9Lwup1j9ZEiQVaFbyCojm9xVImRJEzmFU8h5wSdZKh4LqsgRrS1CuPd8LXPKrlLuzUFm/Hjp7z1oyq4CgN4De0zlBqzngYsAsVqE/GAVOdY5EcRwkyg+hBhOJLVMu5Y+LYBh9873MJUbkxGrUK26bAAtLVoLVC4NTJaR1jI6qmtQVassoNVcV26+EzZLKWJCLBIPMtDXA81+U1VtFjliWrG6JHJ92NexE80AskxC/UjFkiKqBf0Sll+w4GJy8kLC5MFLVo/QH8uqJYdx/X+0a61RfyFnqkYDfUpwsxYA3T/icLyaHg05UY2WUWPNFYCLBfmq8GIEUGNgrCJHqgNyxbs9Dw70QwunTqWNhVGsbgQAJB0yeEzn1kOHuJgc3ZLjEJOjZwAKXOZSkV/0qlgYFGoAVtw65RfWp4ic/ajHKHSjjh3U56i3Gck7uavMFcYBJQg8n1DelczSF81KLpfR5ZGtSa6Ly0/mjlnH+sBk2RSPpbclEdKoYhkkhTwG+3tsAcnWYGtrAUu4CLQw2VVJW5FMsuQQ8YJETsxJ5tVu2QnVrcIYuna9bxqTE9OYMm22/lzMHOQ8IqWx5GQyA0hrLpG0IXJqOZGjpQULiRSEam9WhMyA8oWfYQmkLOZ+XeTk+9HZ/hGaAewVRmG8Ok6rq2MTOarFRU7WYVCsNoWLpDiRk086L2QD/b2oVq9VrhkD7AfE3ACYWtNETtWhZcl9+nh+gXJKIXfCLnIkSFUjTK9lk3XAYHFLzqAa45FlEpLccRO1jQCAlENwK4+WGcUcRI5znRzlNRkCslI1kHN2+fFo7QAGpFpAjt5dJQ4olpvdicMwKteNkdBEjuGusgY/A4blM8d/NYqSHg+GIiJH5qqQS5b3r27JsQhFxrmrJIGhp6cLdfUjuWPm9Ln3C2kk0YfBvm7b/Ac6zSLHatF0Ezle4ozc0JIEskxCUsi79AMjiOGD3FUxJ6kGvOa1eBTIGNz3V8sohqpqI7akqvdj/Qs1EfHioTE4YIiZdFU1qusaAShuoIzaFkHS3VVpiNXKl3aiiBUho5ruB4SUbVsirVh2kvIAevfsBAB0Jo14GM31VGWJaxAGOgEAcrpBWYQ50rX1+mOt+rGQMe/f12ME6gq1imtKyvfphdu0WCEezXXDnGJyHOxrSQd3Vaqm3vRaTg0c9ipyBmC+h6la5W9Q7RDcasIhJkeLq3KKydEsVwyibnF0cvnxaGn+gwn1miLOrkoOKiLnYO0k0+tZIcXF1zhZcoxxxosSF/Re+N7xGU9u7iqrULSK6l41a1JDEzl5SHqT2cG+HltKeO6gWeQkLO4qa/0o/fwOYs8rWk2rHkH9u4cQTARRCkjkxJyUKnLkpLKAC2CQLV9mWrBvt+ro6Wuah5pGZfGvY0UWtIBoFhcASKerUTuiQX/ep8YMSVxrAc2KkM4VtuRkNUsO7CInWaOco0ruRbbzY+Vc6XH69hGjDwMANMoHTPtJGUWkCDUj9UVYo6rGsJawtCIqxMFO0xit7H4fS0NUrStSfgAJtTWEUG0WIwAwqNa0GeSbeLICgcdWS46QQEq9ZxpySp1fkW7PWsVmU0NSAOkRStB0rewsNPe271DqnDjE03gJPGYwCjZq8UpuaLFmOfV97SVjzA/pTKdy/IapptezQoprr2D/AaC5q7SqyIBqmdNEjrUGk8r2rRvwweb1pr+LtQu5VsvK5vKzuEf7D5rfv1qcS16QMKiVORjotWVLyT3mYGutjpV+/ryzKylM4HEaWgC5KnJCCCaCKAUkcoaAvp4ubHjsNrz5wiO+902rxbZYzWgAiuiR+sxfZlpGSO8lL2LDzO/h+P91A0aoGUcN7GDBBTEog2rfpj6mdN1OJFN67yfN8qHFjkiJlGcrQnZQFTmWBRowsqga5E6g62/K+Nrx+vaRzVMAAPXoQz/XDyilihyxZpQeW6FRxVlykmOOBADU9u7Amy88hg2P/gBMlvVr7ReqIHEus5Qq2KSakbCyR1JE5oFdH+ivab+YmUP1Z75BKKBk5lTVNZheY2lDkBXq9qwVl7OKnIaxSo+vkazL9p549Td3Y8zK2fjrD06CoIo355gcB4sL119N1l1+hS05WgZcPt0IwHB7REWN+rdJjj3S9HpWSOmVh51icjTLp1ZOQJmsBFG1Imoxcjxvr1+NKY+14cj/bsMHG542jmWJyRH1wGPzvbd28h6wiRy1+B9EDIrK+yQ70IN8jzlNXuq1WHIsVlzRTeQUEaRuKJmQyvtBy/wjSw4RNygmp8QM9PXg47sWoiX3FwDAK127cdLf/6Pn/avUgNfUmKnAdqBB7sKBAXPmiGbJGT9lOsZP+Q4Ao6S8KDAcOLAHI8eOR5Qc3LsLANApNuqBwn1CNaqQxWBvJwDjl6SYSCGpupJq5MJfqDld5NgtOfVqFlUDepHq+Vh9cYK+fUT9SPSzFKqFDPZ37MBhRxwDAKjKKSInVTcagxbXUg0ncuonzgReB47JbAZevgIAsHF1E2rHKOJggBM5SXlQX/CTdaNsc+1MTcDkgb+hr+ND7sUdyrXVHmYbn7S0dRAEUXcB6q9VGXPNZTNAtd1NBhjZOhnBLJxGjTsMeSYgIcjYu3cXxjRP1o911Fu3AQCOzG9HY4fqLuFETrJK+fs5pTgzLhtL1kRktnDsSkIVOXKN4v6rZtEGrNbJyt+8/rDpwEbj9ZyY1gOPrUUjlXko8+5PjYRmXBIECVD/7lLebskZfPlHesp+1es/11+3FgPU3FXWTDLRIpy0z49GXv1MZIUUsnrByj6gz/w9UNX3iem51ZKjiZx1Ey/FER//Fk1Q9heK1U1yYXCgV//sD4q1QD5cfA9BlAKy5JSYN379bzhaFTgAMP6te4vXEOHQUpdHjJ8GQLHM1GbMv+AEB/dCMpVGl1qkrnvfJ7btYek/oIicbslY4PtUk7XWuHIEU/5f0zgWNfXKYlbnkCLLoy/QYrVtW8OocXr/pqY+5Z4mRxqCQRBF7BOV+XTv+Vh/vSavWCZSI0aBcZacAZaElDB0ftPUY2znHPPa7cj0KovAoFCNhFqgMCX3ozavXF/ViNG2/fpVIZPf/5H+WtVBJZZKGH2EbbwginrzUOV5AjUjGk1jxGrDslOoFL8mFLOi2ZKTSKawX1CO2dmxQ3/93VeeRSMM8TkayvXyFqf6sUpsyyh5v+39q7mrZAhG7EoRS05CtVBqLTlSQg7ZiArJMVlGg5pNVT/mMPQyQ+zlxJTRMNahX1adKnIyKcM6J4iiIW4tIkfO5zG17039+azsFuU8zP7VKiacM9RES6xMttdsyckNKNcyKNUgq9VyGjgIacAcuzNqULFu7kWjMleLJUdSA/ITow7HuOXvY92UK5XzF4kzcqOnSzl/lknIJBQRTCKHiBskckpINjOIoz/8BQBgw8zr0c9SmMR24aN3NxbZUyGfy6FKUL6oRk04EjITIAoME7PmwGPBpbpst6Asir2du4NegiuZznYAQH/KEDlaHZdMXzcG+nr0hXNk0xTUNSjjaoRBPTDZiZxqOs+KVbZtoiShU1CsGYcxxTRfO2ayaUx3QhFTvXuMe6SlD9c0jNFT2QGgXzALqYaRY/BOcpbptSnyTmDDSuWYyZFIqotdWh7Q451qGuwih41WRGn1/nf010YOKMHSNc3TbeMBc0aPIEmoqa031Z5JcLE/uQK1TfIZZ5EDAJ2SMteevYYI7HnzdwCATdULTEKLt+SMalZETo0wiB5LnSatFxYTBEAtrmjrH2YhqYqcVL0RON7XWzgo3Su9PV16HaT6UeNwUDD+5nkxrbf/EC3WpsGBPqTVz1u+2nhfC1ISCTUWyypy/vrua2hEDzIsYbp3prYQKsmaRgBAtcWaabUO5fvMlhWtInJWqkE2qbwHcr0HkBpURMYBKHObICufyYOich6taad+HlXkCKlqCKKoWwalTLD7fuCT7QCAfcIoyJLyXpNdqioTxHBBIqeEbH35NxiNLuxFI+adswzvVymWgt1v/cHT/n29RpBuXcModAnKl1mN4O0Xb6+kiJyBrj1FRvpH7lGEU6baWKQ0kZPr78a+dkVk9LMU6htHo65hNAbVmJ2OHdvcj6tacnKS3ZIDAN3qF7hGQ5NZ5BysV2Iwsrs2K3Ma6EO9aj2qGzkOQtpw8fQLdiFV979W4vW6k/Hq3O9j3STFZXXcwKsAgL4RU1E3SqlHNJodwAhBWZxqG8bYjjN61ikAgCP630I+l0Pn3nZMyiu/tMdPm+t4bVo1ZgAQ1d5VPZwQS6TrdAuBtZ8Rj+beyDkIxYNVinuv/+O3AChWj8l7XlIeH38xtlXN4UYbAqumrkEPbN/fvgM8fIqzoIocp9gVHk3kJOtG6ddkCtIOQfc+RQAPsiSqa0agXzSLHLFO+XtpGVgafQe5LDpO5EipGiRUd12KmRfx3Vv+CADYVnUc3ksblsC8w1drwzglZmyMvM9kDavKKufVWlzI/Z2m/WS1tlQuUYNslSJSWd8+VGeV+bcnlc+A5jLrTTaqczW/R9J55XOgiWVJtQwmc8EsOb17lfdBZ3KsnvnHilTTJoihhkROCZE3PQwAeL/pdCSSKfSO/xQAILXjZU/7D6q/bPNMQDpdjS5ugc8zAZuqFwAADp5wpeP+mpUls+cDx+1h0BoeyrVGdpNmss4e3IMu1R2yTxytmPsTCXyUVNw0Hds22I6Xz+Xw2qqf6e4dN5HTw1UXlpmA0WqwsU6zskjX7t8KANj14VaIAsNBVo3R4yZC4IJ3BwX7OSYdNQcnfPspnHj2Ekz+/GWmbWz0URiliirNUgAAIxrtIueIY1vRhVrUow/vrH8G7699AqLAsF08HGMmTLGNB4AsZ8mR1CJ+fTDca4mqWuRUC0Ghbs9aSnLe4R5mJynvwcaP/wgmy/jonVcxgXVggCUx/VNfRt8Rp+tjxXFmi9MBUVlgu9s/NL2uBcr2CbVcYHZhkaMF1KeqR6BfT4uOZoE88Ikyvz3iGAiiiP4EX/AxjWS98p7VRIJG30HFMtLH0hBSxn2X0tVIa3WgLFaYxM51AICe5pPQPW6+cR6Hr9bRqjWsSsiiu9OIp2nMKp+lD9MzAABil0VEqun4+UQtZFV8if37MTKn/Hjpbpxpvg41bb5WGDCVP6jPKddXO0oRuprISeUKuxbdyOzXMhzHQk4p91gYIJFDxAsKPC4RB/Z8gmMPrgUEYOynFwMAxs0/C/hoBWb1voqe7gOmgl+Ox9i9A2MA9KEKI0QRvYmRQEb5Atwljsexy57Czr9uwzyuECDP4GELgPf+jLqdfwRwU+hrYrKMDzavRe++XTh8/58BANJIw5IyMPoY4OP1kD7egD7VNN+VHIOJ6vbOxmOAvdsgvf0E3h4zGYNqE0VBEJF/63HMP/iCfixrFpRGX8M0YOA1AMDfxPGYlDZbK0YfvQDYChzVvxmde9ux/6MtmApgV3IyposipLTxq55vx+DEYUfMxIfi4ThC/ggA0HDEPFTXjsBBVq1bcXpYNepSdreQlEjg3dEL0bLvt8iuvRcj1I7p7YctxFTbaAXeXaU1J+0T6wBZuU/J6jp1TBY7X/kd9m6filRdI1LVI9B3oB0H334OU9qfQ73qsssn7Jacya3nIPPODzEz+zbW/ecNwGAPpgJ4t3Y+5tY1YM6Xl2D7toeQZBkc23apad+9tdMw5eBODG58CNtqG5HLDCBZVYuuvypWoV5xBCTVSjB6YCcG+nrQua8d1TUjUF3XgFx2EJ17PsGopolG37OqWgwIVRiBfgz0dkPO5+3du33S26GI+gOpZkyEWotH1YSylEZNg2KNq811mvbrV91wvUKN2lRWQUpVo9GSmSYlEsjncji85w0AQMOMU5RYqI/vB2DpfaVSVVOHTtShET3Y/8mHSFfXIJ/LYgzbDwjAwUmfBz54Cw3d75l3zKjFLBM1ELQsy752jIUi0oQJc4A9v9aH5xsmo2t/LRrQi/aP3sURx7ZAzucxknUCAjBCDeBPqYHtWqNbvwgHFHdVpm6invknFmsZQoSm92AnPtq8FlOP+zRqLBmYQ42cz2PzS49Dzg5i5slfMdVriwskckoAk2Vs+/VNWCDk8L50JI48VrG4TJ11InYKEzAJu/Dm/f8AJiXR0PUXjMl9gjQbRAo55CAhI6QwiBSOYPsAAdgrjcMIAAdHzgI6lCDHvdVTMSmZwiQXgQMAk1rPBd67HccObsJbPzgVCXkQdbn9EJmMnJAw9+fhEAAIyEOEDJHJ+v/TGMA0GC6FdozB7NO+rj8fMfNU4OP7MKvrf/DRm0p8QM8II4W3atYZwMu/wfF9a4HVawvfQ5cmo9L42UCHkoq/a9RJmGTZfuTsVrz/uyMxLf8Btv/HucjVK7Ex3XWKFSlRY3wpDFQ3F5wDALCz78Vffvct7G/+LFpO/CIAoFMciRFqZedPEofhKJd9mxb+I/KP/E65XijuiGlnfNP1XFkhqdcLTKv1e/q5Bbpu5Djk1AaYLW//i+txJqiWAdnhHo6fMh3rpy3Fgg/uRuv2Ffrr+WPPB6AsxJOufw2CIJqCsgEgf/jngM1/xPzuPwBP212uA4l6TJ1/Og6ur8ZEfALcdhj4O5wCUAMlMHYMlMUwVVWn1H5hwFFPfgl9T6Txt+RktceUCIExiMhDUN+HApMhABCRR5XchzQGoYwQ0SfWYte4U5TYIAD9tYowyaUaANWwxKQ0akcpmYaT2C5s+rc21Gb3ISckMSmzHRCUdGiB6wqfTNegcex4yEyAJDBsXvsUera9BHHgAFrQhW7U4sjjP6fEmr2o7KP1VbPSnpyMxuzbSP56MfLyAdQKA4CgWGab5n0Z+OBuzMi9g/X3XolJu19AZ7IJR2YUi4mcqkNyhCJgm/sUITTAkhg97STAiH1GonEidicmoCH3Ho749Wl46+l56K+dhBY13XvkWEXkTJpxEuTnBExEO97911bkhSTyYgp5MQkmJiGLKTAxYfQwE5RvBggC5FQ9JuxTrFjimGl6LM5J+5/Ca3ecqxcvhYfeeQLLQ8wPIpnpwtjBHdiXOgyD6dHKuQURTEygeIMaBkHOK4UWmfJ+EZiszF0QwAQJTJD0xxBE5Z+etMH0uQr6Y8tr+vUo/8R8BhBE5BM1kBPV5v0A27Fdj6u+piSQGOcRwMz7qmOO7H0Dx6AXe59rxOYxX1CuR//7WG+L+f7zDZSdtusvC6JyPH7eLA+o91X5fx5jDm7DHPVH4O51N2FT8xnGtcs5SJku1PV9jOnf/VPoHy9BIZFTAjpvnowFqhg42LJML/MviCL+duT/wqT378JJnc+Yd1Lfn2lkUat1EhaATzAWg2feCQCon3sW8Ox/AQAGxtgzgawcdsQxeGXUl3HS/qdwnGr90AnZ7aEdY5D56n+jutZwBUw/6Yv4yx+PxtG5v+hZJnXzzte3H3fKV7B5w72YObAJHeJY9EoNYBABMKTlfhwuG2Z62aGKMAA0zfoMsEl53ND6Ndt2QRTROecK4PXvKnPYp8wjPecrAICxR8wF/qSMzdeMte1v5cjjPgUc96rpte7kaCCjZJd11brZZYDDZ87H+qOuxonv3YU8JGyddwvmTzjcdXxWSBsiR025z4vGYtswuhkJNqC/Vz4UD0ea9aOKDaBPqIUsiJgiGwHFTLJbcgDgpK/eiHUP9qF1588AADuFCThu4Vf17QlLOrvGcWd+A69/uAZTe9/EANLIiGlMyv9NjwXJJuswcux4vHbSLZj7ynVICM4B8WPQCUBp3TFmwhR8LFZDK+JcIwziqNx7jvsVRe7E5PaHjKdjFHdbPm0IW5aoQuNYIyNvbv96Y3/1vu6pnQ6RFzlVNUgkU9gn1GM0ujD7ha+bTvt2099hQVUN0lU1yDBJrx3jRP/8K4F1/4iJ7BPTuv1eaiamz5iHj8RJOFzeiQUdyuf8sAxX+yZVg5rRiqwfD8VVtUs6DE1TzG7F2qYjsO+Tk3BUu3IfjxvYCAwoyQ7dqEF9lWIlbRjdhLdTx2BWdgtmZN92nXMxaifMQN+ej/Tn87u9xRy6MWGwA6AWWEUZg06M2fub4Z4GBlgSVUIW47Af47jPH8/OD7dg0lFzHLeVmrIXOStWrMAPf/hDtLe3Y86cOfjxj3+Mk046aVjn1CvUokHuwSvNF6CFWzwA4Jgvfwtv/PQ1iHIWfSNnIHnYbDROnIWq2gYkUmnkczlkB3uRHehDurYek6Ydh/GqSJrZ0oZ1b18OyDkcd97/9TSXef/wIF77/X3Idbcj0TgBVY3NSCTSyGUHlLLwJvXPF38TIYoJpaO2JCmPJQmjxk/Fx1vX4bBZC9DcNNF0rkQyhREX/wo9938O1RjAq+O/ipYFRoyHIIqYff0fkc/lcFjC/tbbcfMsTJaV4FyknN1Vk4+ei61ffBh1Yw7DjOlzHcfMOf1SvPGuYUHZMPpstHxeETkTDjcWBKFILRc3emsnAxklsDk36uiCYxf875uwr+NyJFJVmD+ysHtM5lwcWgd2vot8dc0IvDJmEVr2/RbrJ16GBZffoW8bDcV03HPzYahTXWms1vl8oiSh9bJ/x4bHm5H86CWMOesWU48rN6qqa3HCtU+bXstlMxD/VRGLWuPP+YuuwK5jTkb33o8xbc5nwRhDX+9BJBIJ7O/YiUm/+gwAYGdiMo6sqkFGrNJFzvrmi1A17bNKxhbLA4IEQRAhSCIEIQEIAgQxAVFKIFUzAqnqOjAmI5/N4MBfN+PojTehHn3Yi0bMPF2JVRNGHg5oWiFRhYZRY7H+qGVI7XoNmYmtqBo7FfnMAPJ/eQ61fTsx/pxb0f7uOv0atYy6LnEkRqv1d2Qm4J30seipm4o5X/uhPvb1SV/Hgo/vw7rDLkGrwz08vm0xttSOxMH3/oyGmZ/HwdceRUPXu0h86YcQRBEHT/lX9K+5HAeFOmw/ZglY1y4s+FjpiyZWj8RhR58APGscb/fYVhxRPxLdqEW9aj0aPfEoTJr5L3j9ZztRNbgf3ZNPxfz3f4yEIGNb4+dwIjefw/7ht3hz0x+RzwxAzg2AZQchZweVKsj5QbV1hGp1YACDDDCG5p2rMVX+CO9J03D0/FOx9aX/Nl3nusnfgGb1KYYgSECyCmK6DulREzGw50OlmrOcB+Q8mJxT3gsmi5K+t/FITACiBIgioFlrAGVfOQ/GFGsPUy0SiqVFm6NlroIAASKU5EZBP5agnV8QACkNMBls8KDaF0xQ9xNUa6LDsR2OazqmbR/j/4I6pmrckThs+kl4/w8/dw70Zszlvju85mr9Ydxx1DkIEiBKEAQJTBAgiBKEVC2O/NxX0dG1D7vW/pfaQkcAEyVlfHoE0s0zcLQlQWQoKWuR8+ijj2LZsmVYuXIlWlpacNddd6GtrQ3btm3DuHHjih+gRFRd8RwyI8dggYN/ckTDKBx/7apAxxVEEa2X3e5rHymRwPwv/59A53Nj1LivuG4bP2U62i//Ew7KeSyw/MLk5+SEVkAPgCnw08oxn15UcH7JVBrHX/d7bPnzU2B5GSd95sv6NkEU8Vr9FzG3aw2aPx/svohHngK8pvwNx80/q+j40RYx6AbjRGa6qkZ/VUMQRbR885fIDA5gQdpupRElCTtTR2BmVgm6TjTYiw7ytJz3bQDf9jQ3N3irT33WqN804fDpJkHZoIqo2hGN2FTTiuN612PPtPNwJMzWqpnn34yGImLQleM+hb0nnoHXN72AyXO/gIZRivhqOGI+8K42YeW+LbjoRvv+Z16iP+x4z7B8an+L7qrxQN9HAIA3Wu7EPG68xvzFP8DOjxZjwZHubuRjP/N3wGf+TnnC/QgAgNknn4WBExdiTKoK41Tz/uaXP4f+Nx7DtFMuQsPoJr2zOgDUHtMGABhEClBFztjxh0OUJJzw7af04/512znY9eJ9OOqsa03naxg5BnM+f57rXN3IZm7GX7asx+HHtCCZSuOwYz6FvX9uRAoZ9F7yIlpdPvtEdIz52i3DPQWdMc2TMMXlR+dwU9Yi54477sAVV1yBSy5RvmxWrlyJVatW4f7778d3v/vdYZuXW/bMoULzpGmB9uuvnQDdU5cKH8B27Ke/7Pj68f/4CA527sXhY4rH5Dgx83P/C3/Z9DN01k3DSce2hJmiCVkwfNaa/9rmQweQchA4Gt2NM4E9isipHu1NXIVlW2IGpufexa6JZ8LLO3/Ot5/BQH8vFqiuTukL38OWF76P3qmnoyWowFEZ0zwZY07/uum1KccsQP8qpRJ2qsktgsqMwFd7Vn+s5GadA7y2Dt2oxfFtdlcpoIi+sGZ5a/Dm7JPPAk42xPR7o7+Aln1PAgCOOvE0AMCuk3+AsS//H6ybciVaHWIfpkyfiynTfxxqXjzJVBpHn/A5/fnYCYcjc/025LKDGD/MwbAEwVO2IieTyWDjxo24/vrr9ddEUcTChQuxbt06x30GBwcxOGg4e7u7KRMgTsj1E6FWmtdTkUuBlEigMaDAARRrxNE3vFp8oE+YQ9pxb90UYHCT52Mkj/ysnmkzYtzQiO3mq36HjeufwvFfuNDTeEEUTbFcM1vagJa2Uk0P1bUjsH/JJvx1x7uYe/wpnvbhu8enq5QA7hPOuAyvZAcxce4XUT9MQZQAMPWcm/DqYwMY8ZkrMEMVRHO+cAG65p6KBY32wpRDRSpdVVCAE8RwULZ1cvbu3Yt8Po+mpibT601NTWhvb3fc59Zbb0VDQ4P+b9Ika24OMZykxxm/skUu1ftQwalx5/QLb8Nr9Qux5dRfejrGkS1f0h+PPcw9KDpKGkY3Yd6iy2OZPqoxatxhmDH/VM8ZHoxroplWaxaJkoST/v6bmDB1Rknm6JVxh03Fidc8ihknLjS93jBqrJ7kQBCEQtlacoJw/fXXY9myZfrz7u5uEjoxYvapX8XrW36D5r53MWn2Z4d7OkOOUwG5xjHNmL/svx1GO9MwcgzeO+spMCbjaHIbBIbJ5lgogiDKk7IVOWPGjIEkSejo6DC93tHRgeZmZ1dEOp1GOl08i4QYHpKpNE649qniAysU5iETxQtHHX9yJMc5lInoT0EQxDBTtj9RUqkU5s2bhzVr1uivybKMNWvWoLXVKXmTIOINE4YvzoMwM+uU/4Xt4uHYMLp49hxBEPGlbC05ALBs2TIsXrwY8+fPx0knnYS77roLvb29erYVQZQTByd8Gti+CVkmITnckznEqaquxdTlb7q24CAIojwoa5Fz/vnnY8+ePVi+fDna29sxd+5crF692haMTBDlwLwLlmPDb0di4vwzUbjCDUEQBOEFgTEPzUUqlO7ubjQ0NKCrqwv19fXDPR2CIAiCIDzgdf0u25gcgiAIgiCIQpDIIQiCIAiiIiGRQxAEQRBERUIihyAIgiCIioREDkEQBEEQFQmJHIIgCIIgKhISOQRBEARBVCQkcgiCIAiCqEhI5BAEQRAEUZGQyCEIgiAIoiIhkUMQBEEQREVCIocgCIIgiIqERA5BEARBEBVJYrgnMJxoDdi7u7uHeSYEQRAEQXhFW7e1ddyNQ1rkHDx4EAAwadKkYZ4JQRAEQRB+OXjwIBoaGly3C6yYDKpgZFnGrl27MGLECAiCMNzTGRK6u7sxadIk7Ny5E/X19cM9nVhC96g4dI+KQ/eoOHSPikP3yBnGGA4ePIgJEyZAFN0jbw5pS44oipg4ceJwT2NYqK+vpw9MEegeFYfuUXHoHhWH7lFx6B7ZKWTB0aDAY4IgCIIgKhISOQRBEARBVCQkcg4x0uk0brzxRqTT6eGeSmyhe1QcukfFoXtUHLpHxaF7FI5DOvCYIAiCIIjKhSw5BEEQBEFUJCRyCIIgCIKoSEjkEARBEARRkZDIIQiCIAiiIiGRUwHcdNNNEATB9G/GjBn69oGBASxZsgSjR49GXV0dzj33XHR0dJiOsWPHDixatAg1NTUYN24crr32WuRyuaG+lMh4+eWX8eUvfxkTJkyAIAh48sknTdsZY1i+fDnGjx+P6upqLFy4EO+9955pzP79+3HRRRehvr4ejY2NuOyyy9DT02Ma89Zbb+Gzn/0sqqqqMGnSJNx2222lvrTIKHaPvv71r9veV6effrppTKXfo1tvvRUnnngiRowYgXHjxuHss8/Gtm3bTGOi+ny9+OKLOOGEE5BOpzFt2jQ8+OCDpb68SPByj0455RTbe+nKK680janke3TvvffiuOOO0wv6tba24ve//72+/VB/D5UURpQ9N954IzvmmGPYJ598ov/bs2ePvv3KK69kkyZNYmvWrGGvvfYaW7BgAfvUpz6lb8/lcuzYY49lCxcuZG+88QZ75pln2JgxY9j1118/HJcTCc888wz7v//3/7Lf/OY3DAB74oknTNt/8IMfsIaGBvbkk0+yN998k/3d3/0dmzp1Kuvv79fHnH766WzOnDls/fr17H/+53/YtGnT2IUXXqhv7+rqYk1NTeyiiy5iW7ZsYf/1X//Fqqur2X/8x38M1WWGotg9Wrx4MTv99NNN76v9+/ebxlT6PWpra2MPPPAA27JlC9u0aRM788wz2eTJk1lPT48+JorP14cffshqamrYsmXL2Ntvv81+/OMfM0mS2OrVq4f0eoPg5R597nOfY1dccYXpvdTV1aVvr/R79Lvf/Y6tWrWK/eUvf2Hbtm1j3/ve91gymWRbtmxhjNF7qJSQyKkAbrzxRjZnzhzHbZ2dnSyZTLLHH39cf+2dd95hANi6desYY8piJ4oia29v18fce++9rL6+ng0ODpZ07kOBdQGXZZk1NzezH/7wh/prnZ2dLJ1Os//6r/9ijDH29ttvMwDs1Vdf1cf8/ve/Z4IgsL/97W+MMcZ+8pOfsJEjR5ru0Xe+8x02ffr0El9R9LiJnLPOOst1n0PtHjHG2O7duxkA9tJLLzHGovt8XXfddeyYY44xnev8889nbW1tpb6kyLHeI8YUkfOtb33LdZ9D7R4xxtjIkSPZz3/+c3oPlRhyV1UI7733HiZMmIAjjjgCF110EXbs2AEA2LhxI7LZLBYuXKiPnTFjBiZPnox169YBANatW4fZs2ejqalJH9PW1obu7m5s3bp1aC9kCNi+fTva29tN96ShoQEtLS2me9LY2Ij58+frYxYuXAhRFLFhwwZ9zMknn4xUKqWPaWtrw7Zt23DgwIEhuprS8uKLL2LcuHGYPn06rrrqKuzbt0/fdijeo66uLgDAqFGjAET3+Vq3bp3pGNoY7RjlhPUeaTz00EMYM2YMjj32WFx//fXo6+vTtx1K9yifz+ORRx5Bb28vWltb6T1UYg7pBp2VQktLCx588EFMnz4dn3zyCf75n/8Zn/3sZ7Flyxa0t7cjlUqhsbHRtE9TUxPa29sBAO3t7aYPj7Zd21ZpaNfkdM38PRk3bpxpeyKRwKhRo0xjpk6dajuGtm3kyJElmf9Qcfrpp+Occ87B1KlT8cEHH+B73/sezjjjDKxbtw6SJB1y90iWZVx99dX49Kc/jWOPPRYAIvt8uY3p7u5Gf38/qqurS3FJkeN0jwDgq1/9KqZMmYIJEybgrbfewne+8x1s27YNv/nNbwAcGvdo8+bNaG1txcDAAOrq6vDEE09g1qxZ2LRpE72HSgiJnArgjDPO0B8fd9xxaGlpwZQpU/DYY48dsm9sIjwXXHCB/nj27Nk47rjjcOSRR+LFF1/EqaeeOowzGx6WLFmCLVu24E9/+tNwTyW2uN2jb3zjG/rj2bNnY/z48Tj11FPxwQcf4MgjjxzqaQ4L06dPx6ZNm9DV1YVf//rXWLx4MV566aXhnlbFQ+6qCqSxsRFHH3003n//fTQ3NyOTyaCzs9M0pqOjA83NzQCA5uZmWyS/9lwbU0lo1+R0zfw92b17t2l7LpfD/v37D9n7dsQRR2DMmDF4//33ARxa92jp0qV4+umn8cc//hETJ07UX4/q8+U2pr6+vmx+qLjdIydaWloAwPReqvR7lEqlMG3aNMybNw+33nor5syZg7vvvpveQyWGRE4F0tPTgw8++ADjx4/HvHnzkEwmsWbNGn37tm3bsGPHDrS2tgIAWltbsXnzZtOC9fzzz6O+vh6zZs0a8vmXmqlTp6K5udl0T7q7u7FhwwbTPens7MTGjRv1MS+88AJkWda/oFtbW/Hyyy8jm83qY55//nlMnz69rNwwXvn444+xb98+jB8/HsChcY8YY1i6dCmeeOIJvPDCCzbXW1Sfr9bWVtMxtDHaMeJMsXvkxKZNmwDA9F6q5HvkhCzLGBwcpPdQqRnuyGciPP/0T//EXnzxRbZ9+3b25z//mS1cuJCNGTOG7d69mzGmpCdOnjyZvfDCC+y1115jra2trLW1Vd9fS0887bTT2KZNm9jq1avZ2LFjyzqF/ODBg+yNN95gb7zxBgPA7rjjDvbGG2+wv/71r4wxJYW8sbGR/fa3v2VvvfUWO+ussxxTyI8//ni2YcMG9qc//YkdddRRpvTozs5O1tTUxC6++GK2ZcsW9sgjj7CampqySY8udI8OHjzIvv3tb7N169ax7du3sz/84Q/shBNOYEcddRQbGBjQj1Hp9+iqq65iDQ0N7MUXXzSlP/f19eljovh8aem/1157LXvnnXfYihUryib9t9g9ev/999nNN9/MXnvtNbZ9+3b229/+lh1xxBHs5JNP1o9R6ffou9/9LnvppZfY9u3b2VtvvcW++93vMkEQ2HPPPccYo/dQKSGRUwGcf/75bPz48SyVSrHDDjuMnX/++ez999/Xt/f397N/+Id/YCNHjmQ1NTXs7//+79knn3xiOsZHH33EzjjjDFZdXc3GjBnD/umf/olls9mhvpTI+OMf/8gA2P4tXryYMaakkf+///f/WFNTE0un0+zUU09l27ZtMx1j37597MILL2R1dXWsvr6eXXLJJezgwYOmMW+++Sb7zGc+w9LpNDvssMPYD37wg6G6xNAUukd9fX3stNNOY2PHjmXJZJJNmTKFXXHFFaYUVsYq/x453R8A7IEHHtDHRPX5+uMf/8jmzp3LUqkUO+KII0zniDPF7tGOHTvYySefzEaNGsXS6TSbNm0au/baa011chir7Ht06aWXsilTprBUKsXGjh3LTj31VF3gMEbvoVIiMMbY0NmNCIIgCIIghgaKySEIgiAIoiIhkUMQBEEQREVCIocgCIIgiIqERA5BEARBEBUJiRyCIAiCICoSEjkEQRAEQVQkJHIIgiAIgqhISOQQBEEQBFGRkMghCIIgCKIiIZFDEARBEERFQiKHIAiCIIiKhEQOQRAEQRAVyf8HctgS18fSQQoAAAAASUVORK5CYII=\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "spe = rc2.spectrum.from_local_file('/data/RamanSpe/FNMT-Madrid/Horiba_785nm/Ne Box/NeonSNQ043_iR785_OP01.txt')\n", "fig, ax = plt.subplots()\n", @@ -67,21 +46,10 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "id": "7f763b57-5050-4263-ad6c-149a91e0e712", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "fig, ax = plt_fig_ax()\n", "\n", @@ -111,31 +79,10 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "id": "d2079ae3-a651-4154-9eca-8df9944293d3", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 0, 'Raman shift [a.u.]')" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "spe_uncal = spe.scale_xaxis_fun(lambda x: x*.5-500)\n", "\n", @@ -156,31 +103,10 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "id": "f359a0c9-5475-46e3-99e9-42126be1cf2d", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "mod, par = spe_uncal.calibrate_by_deltas_model(neon_deltas_wn785, convolution_steps=None, scale2=False, scale3=False)\n", "\n", @@ -202,31 +128,10 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "id": "41521a97-72cb-41cd-b6ec-9c59d1946bad", "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "spe_recal = spe_uncal.calibrate_by_deltas_filter(neon_deltas_wn785, convolution_steps=[100, 15, 3], scale2=False, scale3=True)\n", "\n", diff --git a/examples/publication/HDF5_cache.ipynb b/examples/publication/HDF5_cache.ipynb index 08034949..8c8763e0 100644 --- a/examples/publication/HDF5_cache.ipynb +++ b/examples/publication/HDF5_cache.ipynb @@ -67,7 +67,7 @@ "outputs": [ { "data": { - "image/png": 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", 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RkZGUl5fj4ODA2rVrCQ0NJS4uDisrq3orXHh6epKZmdngta5E0dYOnLYxaWlp+Pn5cfbsWXx9fQ32lZeXk5ycTGBgIDY2Ntc3JGckTRmSM6XKag39X99EYXk1Cho+sXyPW9WxaBQLqlQOWNfkg40zzNrEznw3/v55tMH5/77dl5sjgg2SFIUQ5ufy349CNIer/ZzV/v0+duwYnTp10m+/Wg9TZWUlqampFBQU8L///Y/PPvuM7du3ExcXxwMPPEBFRYXB8QMHDuSWW27hrbfeanSbpYcJXWJbY4fF2qtdp85TWK7LzZqo2sut6li0ahuODfiEXeuseCD8Hayy98MvTzFkxnq8nGzILLw0zXTXmRJujjBV64UQQrQ2jo6OODk5NepYKysrfW5Vv3792LdvH++//z733HMPlZWV5OfnG/QyZWVlNbnSuZQVEI2yPTEHACuqeMbiOwC0w5+m0G0A1ViTP/wDUFtDyl+oTm1ibE/DvICdqe2jEqwQQgjT02g0VFRU0K9fPywtLQ3qXCUmJpKamtrkUgwSMIlG2ZGkC5gmqvbgp8qh2Koj2sGP6fdrHHxh0D90L3YuZ1wvb4PzT+dWkpZnWL9JCCGEuFELFy5kx44dpKSkcOTIERYuXMi2bduIiorC2dmZWbNm8eSTT7J161ZiY2N54IEHiIyMbFLCN8iQnGiEtLxSTufoeoimW2wBoCj8fmwt7YBLCecMfhT2rITU3Qywz8bV3orckkuz6naevEA3b1kZWwghhPFkZ2dz3333kZGRgbOzM+Hh4fz+++/ceuutALz33nuoVCqmTp1KRUUFY8eOrbc2X2O064Cpjea7G93OpPMABClpDFCdoBoVHjfNqn+gkw90HweJv2AR9zU3Bd3N/8Vdmi3318kL3H+TedXvEEII0bpdbRka0JWdWLlyJStXrryh+7TLIbnaSqalpaUmbknrsPe0bhHJiWrdqtXH7AejdvZu+OC+9+mej/7EzUFuhtdJztPXZxJCCCFak3bZw6RWq3FxcdGvj2NnZ9cqpvabSkxyLgBjVPsByO88jvLycmo0WrQ1VQBUVlboFl/sFIm1lQNKcSbDrE8bXKeksoYDqXkM7mIYSAkhhBDmrl0GTIB+OuHliygKQzkl1aQXlOOvZBGiOku1VkWlZ1+Sk5PRaLXkXlxcNz09nZIa3ZpPPp6DcT77J6r4H+nq+jdO5V7KY4pJzpWASYj2oLIEFvvovv5nOljZX/14Icxcuw2YFEXB29sbDw8PqqqqTN0cs3XsiK4S6q2qWAD2Kz0ZMqA/KpVCWWU1z363i/FY0tHDi06BzgCoyu+Cs3/imr2HoUGzORV9Vn+9fSm5Lf8mhBBt3ogRI+jTpw/Lly+/7mukpKQQGBjIwYMH6dOnD9u2beOWW24hLy+vXqXoxpzfkKZes7EURWHt2rVMnjy5wf2Xf38CAgKYP3++vnq4uLZ2GzDVUqvVLbICdGt1KF3XgzRMdQSAlA5DGWynWxlco6omu6QGsMTS2upStdYe42C9CtWFJEYM0vB1nesdOJNHdY0GC3W7TJ8TQjSTn376SZ+faixDhgzRz7xqDD8/PzIyMm5oWZSWsm/fPv1CxKJxmvxXa8eOHUyaNAkfHx8URWHdunVXPPaRRx5BUZR6EX9ubi5RUVE4OTnh4uLCrFmzKC4uNjjm8OHD3HTTTdjY2ODn58fSpUub2lRhBHFn87GgmoGq47oNXW6+9km2LuDdG4D+2iMGu0oqa0jIKDJyK4UQ7Z2rqyuOjo5GvaaVlRVeXl6NznFVq9V4eXlhYWH+fREdO3bEzs7O1M1oVZocMJWUlNC7d+9rTs9bu3Yte/fuxcfHp96+qKgo4uPj2bRpEz///DM7duzg4Ycf1u8vLCxkzJgxdO7cmdjYWN5++20WLVrEJ5980tTmihtQUV1DQkYhvZVT2CsVXNA64tejf+NODtQFVk7puwl0N/wUEyPDckIIIxsxYoTB8FJAQACLFy/mwQcfxNHREX9//3p/Q2JiYoiIiMDGxob+/ftz8OBBg/3btm1DURTy8/MpLCzE1taW3377zeCYtWvX4ujoSGlpKSkpKSiKQlxcnH7/r7/+Svfu3bG1teWWW24hJSXF4PxFixbVG75bvnw5AQEB+tf79u3j1ltvxd3dHWdnZ26++WYOHDjAjQgICDDozFAUhc8++4w77rgDOzs7goKCWL9+vcE5R48eZfz48Tg4OODp6cmMGTM4f/68fv///vc/wsLCsLW1xc3NjdGjR1NS0nZWeWhywDR+/Hhef/117rjjjisec+7cOR5//HFWr15dr4s0ISGBjRs38tlnnzFo0CCGDRvGBx98wLfffkt6uq5mz+rVq6msrOSLL76gZ8+eTJs2jXnz5hltZWnROImZRVTVaBmiigdgjyaUXr6NLDwZOFz3nLydAZ1dDHbtS5aASYhWQ6vVJXA3+VGnbEtl6fVd4wZr5S1btkwfCD322GM8+uijJCYmAlBcXMzEiRMJDQ0lNjaWRYsW8fTTT1/xWk5OTkycOJE1a9YYbF+9ejWTJ09usLfm7NmzTJkyhUmTJhEXF8dDDz3Ec8891+T3UVRUxMyZM9m5cyd79+4lKCiICRMmUFRk3N76V155hbvvvpvDhw8zYcIEoqKiyM3V/b7Oz89n5MiRREREsH//fjZu3EhWVhZ33303ABkZGUyfPp0HH3yQhIQEtm3bxpQpU9pUvUOj9xtqNBpmzJjBggUL6NmzZ739e/bswcXFhf79L/VUjB49GpVKRXR0NHfccQd79uxh+PDhWFlZ6Y8ZO3Ysb731Fnl5eXToUP+PdkVFhcFqxMb+QWqPDqXpqngPUOl+wZy068NE20bmCPhHgsoCCs9xs2cF39fZtS8lF61WK6UchGgNqkovzXa7Xu9cZ8HaG5xdN2HCBB57TLeE07PPPst7773H1q1bCQ4OZs2aNWg0Gj7//HNsbGzo2bMnaWlpPProo1e8XlRUFDNmzKC0tBQ7OzsKCwv55ZdfWLt2bYPHf/TRR3Tt2pVly5YBEBwczJEjR3jrrbea9D5Gjhxp8PqTTz7BxcWF7du3M3HixCZd62ruv/9+pk+fDsDixYtZsWIFMTExjBs3jg8//JCIiAgWL16sP/6LL77Az8+PEydOUFxcTHV1NVOmTKFz584AhIWFGa1t5sDombdvvfUWFhYWzJs3r8H9mZmZeHh4GGyzsLDA1dWVzMxM/TGenoaLt9a+rj3mckuWLMHZ2Vn/CA0NvdG30u4dPpuPgoY+qpMAVHk3cjgOwMoOvHT/WQZanjTYdaGkktPn2043rRDCPIWHh+u/VhQFLy8vfSmZhIQEwsPDL01WgWsuxjphwgQsLS31Q1U//vgjTk5OjB49usHjExISGDRokMG2pi74CpCVlcXs2bMJCgrC2dkZJycniouLSU1NbfK1rqbu98ve3h4nJyf99+vQoUNs3boVBwcH/aNHjx4AnDp1it69ezNq1CjCwsK46667+PTTT8nLyzNq+0zNqD1MsbGxvP/++xw4cKDFew8WLlzIk08+qX997tw5CZpu0NH0QoKUczgpZZRorXHvEtG0C/gOhPSDuOcdwsNxDNlFl3oA9yXn0rWjg5FbLIQwOks7XU9PU1WWXupZevqk7kPU9dz7BlyeEqIoChrN9a82YGVlxZ133smaNWuYNm0aa9as4Z577rmhJG+VSlVv2OryUjczZ87kwoULvP/++3Tu3Blra2siIyOprKzEmK72/SouLmbSpEkN9o55e3ujVqvZtGkTu3fv5o8//uCDDz7g+eefJzo6msDAQKO201SM2sP0119/kZ2djb+/PxYWFlhYWHDmzBmeeuopfQJb3Qi/VnV1Nbm5ufpikl5eXmRlZRkcU/u69pjLWVtb4+TkpH8Ye7ZEe1NVo+FkdhF9VUkAHNJ0JdTXtWkX8RsIgJK2jwGBhuceSG1bnzyEaLMURTcs1uRHnWDHyu76rtGMH7xDQkI4fPiwboWCi/bu3XvN86Kioti4cSPx8fFs2bKFqKioq94jJibGYNvl9+jYsSOZmZkGQVPdpHGAXbt2MW/ePCZMmEDPnj2xtrY2SLZuCX379iU+Pp6AgAC6detm8KgtT6AoCkOHDuWVV17h4MGDWFlZXXG4sjUyasA0Y8YMDh8+TFxcnP7h4+PDggUL+P333wFdd2R+fj6xsbH687Zs2YJGo9F3XUZGRrJjxw6DKHvTpk0EBwc3mL8kjC/5fAlVNVr6KScAOKANooeXU9Mu4jtA95x5mAGdbA12Hb6YHyWEEKZw7733oigKs2fP5tixY/z666+888471zxv+PDheHl5ERUVRWBgYL0ht7oeeeQRkpKSWLBgAYmJiaxZs4ZVq1YZHDNixAhycnJYunQpp06dYuXKlfVm4gUFBfHNN9+QkJBAdHQ0UVFR2Noa/k5tbnPmzCE3N5fp06ezb98+Tp06xe+//84DDzxATU0N0dHRLF68mP3795OamspPP/1ETk4OISEhLdrO5tTkgKm4uFgfDAEkJycTFxdHamoqbm5u9OrVy+BhaWmJl5cXwcHBgC7iHjduHLNnzyYmJoZdu3Yxd+5cpk2bpi9BcO+992JlZcWsWbOIj4/nu+++4/333zcYchPN63imLmk+XKVbDy7FJhRnuyYWhXPxB3sP0FQzyDbNYFdSdjFllTVGaasQQjSVg4MDGzZs4MiRI0RERPD88883KhlbURSmT5/OoUOHrtq7BODv78+PP/7IunXr6N27Nx9//LFB0jTo/ib+61//YuXKlfTu3ZuYmJh6s/U+//xz8vLy6Nu3LzNmzGDevHn1coGbm4+PD7t27aKmpoYxY8YQFhbG/PnzcXFxQaVS4eTkxI4dO5gwYQLdu3fnhRdeYNmyZYwfP75F29mcFG0T5/zVlnW/3MyZM+tFztBw+fXc3Fzmzp3Lhg0bUKlUTJ06lRUrVuDgcCmn5fDhw8yZM4d9+/bh7u7O448/zrPPPtvodqalpeHn58fZs2fx9fVtylsUwNKNx/lyWzxHrWehVrTM7/Rfls+eYHBMaWU1I/75BzOLbZi0IAL/rg30/q2+C5L+oHLMW/TY4Iemzk/bj49G0q9zE4f5hBDNqry8nOTkZAIDAw0SoptM1pITV3G1nzNz/fvd5Ey1ESNGNKmuwuVFukBXkfXyWhaXCw8P56+//mpq84SRJGYWEaKkola0ZGtd8PS9zqQ97z6Q9AdW2UcI8gglMetSuYfDaQUSMAkhhGgVZEEv0aDjmUX0UiUDcFQTQA+v60yiv7hEChmHCPM1XI/piOQxCdF2WdnDogLdQ3qXRBsgAZOop6i8inP5ZfRSUgA4og1sesJ3LZ8+uuecBCK8DbtdD6XlX3cbhRBCiJYkAZOo58TFYbNeqhQAErSB118zyakT2LmBppr+doZFR0+fL6GovOoKJwohhBDmQwImUU9CRhGWVNNN0c1sK3ENwcriOn9UFEVf8btLTTIWqkt1VbRaiE8vvOH2CiGEEM1NAiZRT2JmEV2UdKyUGoq0trh4X+c6ULU8ewFgeT6BHt6GuVCHZVhOCCFEKyABk6gnMbOIYOWs7mutHz28rzN/qZbHxSVqsuIJ6+RisEsKWAohhGgNJGASBrRaLcczC+mh0gVMxzV+1z9DrpZnT91zVjzhnQyDr6PnJGASQghh/iRgEgZyiiooLK+mh6JbBfu41p/gGw2YOgaDooKyXPp0qDDYdSa3lJKK6hu7vhDC7JRWlRL2VRhhX4VRWlVq6uYIccMkYBIGTuWUABB8sYcpWeWPj/MNrllkaQuuXQHoqj2D+rLE79plWIQQ4nqNGDHCYEWJ65GSkoKiKPqlv7Zt24aiKOTn51/X+Q1p6jUbS1EU1q1bd8X9l39/AgICWL58uVHb0NY1udK3aNtOny/GkVI6KRcAqHQNQaUyworhnqFwIQmrC8fp4h5OUnaxfldCRiH9OsuiykKI6/fTTz9hadnE9S6vYciQIWRkZODs7HztgwE/Pz8yMjJwd3c3ajuaw759+7C3l4KiTSE9TMJAck4J3ZRzAGRqO+Dh6WmcC3fsoXvOSSTksiTyhAwpLSCEuDGurq44Ot5g+sBlrKys8PLyQlEa96FRrVbj5eWFhYX590V07NgROzs7UzejVZGASRg4fb6EbipdwHRS40MXdyN9AukYrHs+f6JewCRDckKIG9XQkNPixYt58MEHcXR0xN/fn08++cTgnJiYGCIiIrCxsaF///4cPHjQYH/d4bPCwkJsbW357bffDI5Zu3Ytjo6OlJaWNjgk9+uvv9K9e3dsbW255ZZb6q2vumjRIvr06WOwbfny5QQEBOhf79u3j1tvvRV3d3ecnZ25+eabOXDgQJO/R3VdPiSnKAqfffYZd9xxB3Z2dgQFBbF+/XqDc44ePcr48eNxcHDA09OTGTNmcP78ef3+//3vf4SFhWFra4ubmxujR4+mpKTkhtppTiRgEgZO5xTre5iStL506WikgMn9YsCUc5weXoZVw49nFKLRNH5BZyFEy9FqtZRWlTb5UVZdpr9GWXXZdV2jKQu9N2TZsmX6QOixxx7j0UcfJTExEYDi4mImTpxIaGgosbGxLFq0iKeffvqK13JycmLixIn1Fo5fvXo1kydPbrC35uzZs0yZMoVJkyYRFxfHQw89xHPPPdfk91FUVMTMmTPZuXMne/fuJSgoiAkTJlBUZNwPm6+88gp33303hw8fZsKECURFRZGbmwtAfn4+I0eOJCIigv3797Nx40aysrK4++67AcjIyGD69Ok8+OCDJCQksG3bNqZMmXLD/4bmxPz7DUWLqazWcDavjG7qdABOaX240/06l0S5nFs33Uy58gJ6ORvOlCuprOFsXimd3WQ8XQhzU1ZdxqA1g27oGiO+H3Fd50XfG42d5fUPG02YMIHHHnsMgGeffZb33nuPrVu3EhwczJo1a9BoNHz++efY2NjQs2dP0tLSePTRR694vaioKGbMmEFpaSl2dnYUFhbyyy+/sHbt2gaP/+ijj+jatSvLli0DIDg4mCNHjvDWW2816X2MHDnS4PUnn3yCi4sL27dvZ+LEiU261tXcf//9TJ8+HYDFixezYsUKYmJiGDduHB9++CEREREsXrxYf/wXX3yBn58fJ06coLi4mOrqaqZMmULnzp0BCAsLM1rbzIH0MAm91NxSajRagi4uiZKk8SXQWENyljbQIQAA97LTuNpbGeyWPCYhhLGFh4frv1YUBS8vL7KzswFISEggPDwcG5tLi4JHRkZe9XoTJkzA0tJSP1T1448/4uTkxOjRoxs8PiEhgUGDDIPNa92jIVlZWcyePZugoCCcnZ1xcnKiuLiY1NTUJl/raup+v+zt7XFyctJ/vw4dOsTWrVtxcHDQP3r00OWmnjp1it69ezNq1CjCwsK46667+PTTT8nLyzNq+0xNepiEXvL5EmyowFfRjUnn2gXgbGvEWSfuwZB7GuV8EiHeYew6eUG/61hGEeN6eRvvXkIIo7C1sCX63ugmn1dWXabvWdp29zZsLZpenuR6zqnr8llziqKg0Wiu+3pWVlbceeedrFmzhmnTprFmzRruueeeG0ryVqlU9YatqqoMFyWfOXMmFy5c4P3336dz585YW1sTGRlJZWXldd+3IVf7fhUXFzNp0qQGe8e8vb1Rq9Vs2rSJ3bt388cff/DBBx/w/PPPEx0dTWBgoFHbaSrSwyT0TucUE6hkolK05Gkd6ODuY9wbdOyue85JJMRLZsoJ0RooioKdpV2TH3WDHVsL2+u6RmNnp12PkJAQDh8+THl5uX7b3r17r3leVFQUGzduJD4+ni1bthAVFXXVe8TExBhsu/weHTt2JDMz0yBouryO065du5g3bx4TJkygZ8+eWFtbGyRbt4S+ffsSHx9PQEAA3bp1M3jUlidQFIWhQ4fyyiuvcPDgQaysrK44XNkaScAk9E7nlNBFydB9rfWmi4eR8pdquQXpni+clNICQgiTuvfee1EUhdmzZ3Ps2DF+/fVX3nnnnWueN3z4cLy8vIiKiiIwMLDekFtdjzzyCElJSSxYsIDExETWrFnDqlWrDI4ZMWIEOTk5LF26lFOnTrFy5cp6M/GCgoL45ptvSEhIIDo6mqioKGxtb7CgcBPNmTOH3Nxcpk+fzr59+zh16hS///47DzzwADU1NURHR7N48WL2799PamoqP/30Ezk5OYSEhLRoO5uTBExCL/l8CYG1AZPG23j5S7XcrxwwpeWVUVhe1cBJQghhfA4ODmzYsIEjR44QERHB888/36hkbEVRmD59OocOHbpq7xKAv78/P/74I+vWraN37958/PHHBknToOuF+te//sXKlSvp3bs3MTEx9Wbrff755+Tl5dG3b19mzJjBvHnz8PDwaPqbvgE+Pj7s2rWLmpoaxowZQ1hYGPPnz8fFxQWVSoWTkxM7duxgwoQJdO/enRdeeIFly5Yxfvz4Fm1nc1K0bWnOXx1paWn4+flx9uxZfH19Td2cVqH/65v4Z8Vypqh3srTqHiKiXuPW0CsXriytrGbEP/9gZrENkxZE4N/1GtW6S87D27olUiqfTafn69upqrn04/f9PyIZGOhqlPcihLg+5eXlJCcnExgYaJAQ3VSlVaX62XU3OttNtD1X+zkz17/f0sMkACgoq+J8caV+SO6Uthl6mOzcwMYFAKuCZLp2NBzyk2E5IYQQ5kpmyQlANxwHWv2QXKrig7+rkT8RKoquHtO5/XDhJKHeAQZVviVgEqLtsLO048jMI6ZuhhBGIz1MAoCU8yW4UYizUopGq1DjHICVRTP8eOjzmJLqJ37LEilCCCHMlARMAtAVraztXTqndcfb/Rr5SNfLTZfDxPn6id+JmYXUyBIpQgghzJAETAK4GDCpMgFI1noZfziulls33XPuaUK8DVcWL6/SkHKh7SzUKIQQou2QgEkAkHqhlM5KFgApzRkwuXbRPeeexs3BGg9Ha4PdxzNkWE4IIYT5kYBJALoepoCLAdMZrSf+bs0UMHW4WCK/9DyUFxDsZdjLlJgpid9CCCHMjwRMgvKqGjILy+ms6IbkUrSezdfDZOME9h11X+cm0+OygEkSv4UQQpgjCZgEaXmlgNZgSM6vuQImMBiW6+F1eeK3BExCtAWa0lISeoSQ0CMETWmpqZsj2rAlS5YwYMAAHB0d8fDwYPLkySQmJhocM2LECBRFMXg88sgjTbqPBEyC1NxSXCnCSSlDo1Uote2Eg3UzluiqEzBdPiSXmltKSUV1891bCNEmjRgxgvnz59/QNVJSUlAURb/47bZt21AUhfz8/Os6vyFNvWZjKYrCunXrrrj/8u9PQEAAy5cvN2obTGX79u3MmTOHvXv3smnTJqqqqhgzZgwlJYaTiGbPnk1GRob+sXTp0ibdRwpXClIvlBJwcTguHTe83F2a94Z1AqZukQ6oVYpBOYHErCL6+jdTWQMhRJv0008/YWlpadRrDhkyhIyMDJydnRt1vJ+fHxkZGbi7uxu1Hc1h37592NsbeTUHE9m4caPB61WrVuHh4UFsbCzDhw/Xb7ezs8PLy+u67yM9TIIzuZcCpjOaZsxfqlUnYLKxVNdbgkWG5YQQTeXq6oqjo+O1D2wCKysrvLy8UBSlUcer1Wq8vLywsDD/voiOHTtiZ2fe6/sVFRVRWFiof1RUVDTqvIKCAkD3M1HX6tWrcXd3p1evXixcuJDSJg4VS8AkOJtbSmdVNgBntB4tEDBdnCmXlwLQwEw5CZiEEE3T0JDT4sWLefDBB3F0dMTf359PPvnE4JyYmBgiIiKwsbGhf//+HDx40GB/3eGzwsJCbG1t+e233wyOWbt2LY6OjpSWljY4JPfrr7/SvXt3bG1tueWWW0hJSTE4f9GiRfTp08dg2/LlywkICNC/3rdvH7feeivu7u44Oztz8803c+DAgSZ/j+q6fEhOURQ+++wz7rjjDuzs7AgKCmL9+vUG5xw9epTx48fj4OCAp6cnM2bM4Pz58/r9//vf/wgLC8PW1hY3NzdGjx5db1isKUJDQ3F2dtY/lixZcs1zNBoN8+fPZ+jQofTq1Uu//d577+U///kPW7duZeHChXzzzTf8/e9/b1J7JGASpOaW4qfoAqbU5pwhV6u2tEBRBlSV0cPzsplysqacEGZDq9WiKS1t+qOsTH8NTVnZdV1Dq72xyv/Lli3TB0KPPfYYjz76qD4ZuLi4mIkTJxIaGkpsbCyLFi3i6aefvuK1nJycmDhxImvWrDHYvnr1aiZPntxgb83Zs2eZMmUKkyZNIi4ujoceeojnnnuuye+jqKiImTNnsnPnTvbu3UtQUBATJkygqMi4Hy5feeUV7r77bg4fPsyECROIiooiNzcXgPz8fEaOHElERAT79+9n48aNZGVlcffddwOQkZHB9OnTefDBB0lISGDbtm1MmTLlhv4Njx07RkFBgf6xcOHCa54zZ84cjh49yrfffmuw/eGHH2bs2LGEhYURFRXF119/zdq1azl16lSj29PkfsMdO3bw9ttvExsbS0ZGBmvXrmXy5MkAVFVV8cILL/Drr79y+vRpnJ2dGT16NG+++SY+Pj76a+Tm5vL444+zYcMGVCoVU6dO5f3338fB4dLq9YcPH2bOnDns27ePjh078vjjj/PMM880tbniGrRaLam5pfjrAyYPbmnugMm2A1g7QUUh5J2hh7dhvlJiVhFarbbR3eBCiOajLSsjsW+/G7pG0tBh13Ve8IFYlBsYNpowYQKPPfYYAM8++yzvvfceW7duJTg4mDVr1qDRaPj888+xsbGhZ8+epKWl8eijj17xelFRUcyYMYPS0lLs7OwoLCzkl19+Ye3atQ0e/9FHH9G1a1eWLVumez/BwRw5coS33nqrSe9j5MiRBq8/+eQTXFxc2L59OxMnTmzSta7m/vvvZ/r06QAsXryYFStWEBMTw7hx4/jwww+JiIhg8eLF+uO/+OIL/Pz8OHHiBMXFxVRXVzNlyhQ6d+4MQFhY2A21x9HREScnp2sfeNHcuXP5+eef2bFjB76+vlc9dtCgQQCcPHmSrl27Nur6Te5hKikpoXfv3qxcubLevtLSUg4cOMCLL77IgQMH+Omnn0hMTORvf/ubwXFRUVHEx8ezadMm/Zt7+OGH9fsLCwsZM2YMnTt3JjY2lrfffptFixbV604VNy6nqILyKo1BwNRsRStrKQp00P2HIi+lXi2m/NIqsosaN1YthBBXEh4erv9aURS8vLzIztb9rktISCA8PBwbGxv9MZGRkVe93oQJE7C0tNQPVf344484OTkxevToBo9PSEjQ/2Fu7D0akpWVxezZswkKCsLZ2RknJyeKi4tJTU1t8rWupu73y97eHicnJ/3369ChQ2zduhUHBwf9o0ePHgCcOnWK3r17M2rUKMLCwrjrrrv49NNPycvLM2r7rkSr1TJ37lzWrl3Lli1bCAwMvOY5tcOm3t7ejb5Pk3uYxo8fz/jx4xvc5+zszKZNmwy2ffjhhwwcOJDU1FT8/f1JSEhg48aN7Nu3j/79+wPwwQcfMGHCBN555x18fHxYvXo1lZWVfPHFF1hZWdGzZ0/i4uJ49913DQIrceNSc0uxpRwPJR+ATLUXno42Vz/JGDoEQOYRyEuhU9BY7K3UlFTW6HcnZBTi6dQC7RBCXJVia0vwgdgmn6cpK9P3LAXt2onK1va67n0jLp81pygKGo3muq9nZWXFnXfeyZo1a5g2bRpr1qzhnnvuuaEkb5VKVW/YqqqqyuD1zJkzuXDhAu+//z6dO3fG2tqayMhIKisrr/u+Dbna96u4uJhJkyY12Dvm7e2NWq1m06ZN7N69mz/++IMPPviA559/nujo6EYFMDdizpw5rFmzhv/7v//D0dGRzEzdJCZnZ2dsbW05deoUa9asYcKECbi5uXH48GGeeOIJhg8fbhAkXkuz5zAVFBSgKAouLi4A7NmzBxcXF32wBDB69GhUKhXR0dH6Y4YPH46VlZX+mLFjx5KYmHjFiLWiosIgm97YY7ttlS5/KQeAfK09zh06olK1wFBYh0uJ3yqVIonfQpgpRVFQ2dk1/VEn2FHZ2l7XNZpzWD4kJITDhw9TXl6u37Z3795rnhcVFcXGjRuJj49ny5YtREVFXfUeMTExBtsuv0fHjh3JzMw0CJour+O0a9cu5s2bx4QJE+jZsyfW1tYGydYtoW/fvsTHxxMQEEC3bt0MHrXlCRRFYejQobzyyiscPHgQKyurKw5XGtNHH31EQUEBI0aMwNvbW//47rvvAF2g++effzJmzBh69OjBU089xdSpU9mwYUOT7tOsAVN5eTnPPvss06dP149DZmZm4uHhYXCchYUFrq6u+qgwMzMTT09Pg2NqX9cec7klS5YYZNOHhoYa++20SWcuGOYvNXvCd60OAbpn/Uw5w3Hq4xIwCSGa0b333ouiKMyePZtjx47x66+/8s4771zzvOHDh+Pl5UVUVBSBgYH1htzqeuSRR0hKSmLBggUkJiayZs0aVq1aZXDMiBEjyMnJYenSpZw6dYqVK1fWm4kXFBTEN998Q0JCAtHR0URFRWF7g71vTTVnzhxyc3OZPn06+/bt49SpU/z+++888MAD1NTUEB0dzeLFi9m/fz+pqan89NNP5OTkEBIS0uxt02q1DT7uv/9+QFcfa/v27Vy4cIHy8nKSkpJYunRpk/KjoBkDpqqqKu6++260Wi0fffRRc91Gb+HChQbZ9MeOHWv2e7YFZ/NK9UuipGo9mndJlLr0AVMyQL08JgmYhBDNycHBgQ0bNnDkyBEiIiJ4/vnnG5WMrSgK06dP59ChQ1ftXQLw9/fnxx9/ZN26dfTu3ZuPP/7YIGkadL1Q//rXv1i5ciW9e/cmJiam3my9zz//nLy8PPr27cuMGTOYN29evY6H5ubj48OuXbuoqalhzJgxhIWFMX/+fFxcXFCpVDg5ObFjxw4mTJhA9+7deeGFF1i2bNkVU3hao2aprlUbLJ05c4YtW7YYRHF1k+5qVVdXk5ubq6/A6eXlRVZWlsExta+vVKXT2toaa2tr/evCQpma3hjn8soIv9jDlKb1wK9DSwdMZ0CrrRcwncoupqpGg6VaKl8IIa5t27ZtBq8vr3cE9Ye6Bg8eXG9b3aGxESNGNDgt/q233mowuAoICKh3/MSJE+vNZHvggQcMXj/yyCP11jX75z//qf86IiKCffv2Gey/8847r9juhlzr+9PQ+Zcv3xIUFMRPP/3U4PVDQkLqVdxua4z+16g2WEpKSuLPP//Ezc3NYH9kZCT5+fnExl5KItyyZQsajUbftRkZGcmOHTsMEt82bdpEcHAwHTrIkhnGlJZXhu/FHKZUrQe+HVqom9fZD1CgugyKs+stwltZoyH5/PUXPBNCCCGMqckBU3FxMXFxcfqoPDk5mbi4OFJTU6mqquLOO+9k//79rF69mpqaGjIzM8nMzNRn84eEhDBu3Dhmz55NTEwMu3btYu7cuUybNk1fq+nee+/FysqKWbNmER8fz3fffcf777/Pk08+abx3Lqiu0ZBZWK5P+j6r7UinlgqYLKzAqZPu6/xUnO0s8bpsVpwMywnReqns7Ag5nkDI8QRUZr4EhxCN0eSAaf/+/URERBAREQHAk08+SUREBC+99BLnzp1j/fr1pKWl0adPH4Ns9d27d+uvsXr1anr06MGoUaOYMGECw4YNM6ix5OzszB9//EFycjL9+vXjqaee4qWXXpKSAkaWWVhOjUajD5jStB3xbakhObhUiyn/DAA9vC+fKSfDqkIIIcxDk3OYrjSmW6sxZdBdXV3rlZe/XHh4OH/99VdTmyeaIC2vDFeKsFMq0GgVci096WBn3NW+r8rFH87sMlhTbltijn738QzpYRJCCGEeJKO2HTuXV6ZfQy6LDni4OLXsciQul/UwyUw5IYQQZkoCpnYsLa+sznCce8slfNfSL49SGzAZJn6fyy+jsLzq8rOEEEKIFicBUzuWlldaJ+Hbo2Xzl6BOD5NuPaSuHR2wuKzK+AnpZRJCCGEGJGBqx87lXyop0KIz5GrV9jAVpIGmBisLFV062hscIsNyQgghzIEETO1Y3RpMuhlyLRwwOXqDyhI0VVCYDtQfljsuM+WEaLVKCiqI2XCakoIKUzdFiBsmAVM7VaPRklFgGDB1cmnhgEmlBueLtZgKzgLIIrxCtCGlBZXs+yWF0oJKUzdFiBsmAVM7lV1UTlWNhk6KbsVrXdK3CYrLufjrnvN1AVNDM+UaU6pCCCGEaE4SMLVTaXlluFOIjVKFRquQp+6Iu4NVyzfEuTZg0iV+9/A2HJIrKq8mvaC8pVslhGjj6i69JURjSMDUTp3LK6PTxeG4TDrg0cGxZWsw1artYSrQBUw+zjY42hjWU5WK30KIxtBoNCxdupRu3bphbW2Nv78/b7zxBikpKSiKwnfffcfNN9+MjY0Nq1evRqPR8Oqrr+Lr64u1tTV9+vQxWEC2srKSuXPn4u3tjY2NDZ07d2bJkiWArkjzokWL8Pf3x9raGh8fH+bNm6c/t6KigqeffppOnTphb2/PoEGDDBbAPXPmDJMmTaJDhw7Y29vTs2dPfv311xb7Xomma3Klb9E2pOWV4ntxOO6cqYbjAFz8dM8Xe5gURSHY05H9Z/L0hxzPLGJkD09TtE4I0YosXLiQTz/9lPfee49hw4aRkZHB8ePH9fufe+45li1bRkREBDY2Nrz//vssW7aMf//730RERPDFF1/wt7/9jfj4eIKCglixYgXr16/n+++/x9/fn7Nnz3L2rC594Mcff+S9997j22+/pWfPnmRmZnLo0CH9vebOncuxY8f49ttv8fHxYe3atYwbN44jR44QFBTEnDlzqKysZMeOHdjb23Ps2DEcHBxa/HsmGk8CpnYqrU4Pk0lmyNW6LIcJdGvKGQRMskSKEGatpKCiwcTuvMwSg+fL2TlbYe9sbZQ2FBUV8f777/Phhx8yc+ZMALp27cqwYcNISUkBYP78+UyZMkV/zjvvvMOzzz7LtGnTAHjrrbfYunUry5cvZ+XKlaSmphIUFMSwYcNQFIXOnTvrz01NTcXLy4vRo0djaWmJv78/AwcO1O/78ssvSU1N1S8q//TTT7Nx40a+/PJLFi9eTGpqKlOnTiUsLAyALl26GOX7IJqPBEzt1Ln8MkLr9DC1+Ay5Ws4Xe5gKzoJGAyoVwZeVFpCZckKYt/gd59j3S8oV92/64liD2wfcFsDAScYJFBISEqioqGDUqFFXPKZ///76rwsLC0lPT2fo0KEGxwwdOlTfU3T//fdz6623EhwczLhx45g4cSJjxowB4K677mL58uV06dKFcePGMWHCBCZNmoSFhQVHjhyhpqaG7t27G1y7oqICNzc3AObNm8ejjz7KH3/8wejRo5k6dSrh4eFG+V6I5iEBUzuly2GqnSHXkUhT9TA5dQJFDTWVUJINjl71ZsqdyimmslqDlYWk3AlhjnoO70Rg7471tudllrDpi2Pc+mAoHbzs6+23czbeRBNb22v/DrO3r9+Gq+nbty/Jycn89ttv/Pnnn9x9992MHj2a//3vf/j5+ZGYmMiff/7Jpk2beOyxx3j77bfZvn07xcXFqNVqYmNjUavVBtesHXZ76KGHGDt2LL/88gt//PEHS5YsYdmyZTz++ONNaqNoOfIXqB3SarUGVb5N2sOktgAnXZd1bR7T5bWYqjVaTuUUt3TLhBCNZO9sTUd/x3qP2iCpg5d9g/uNNRwHEBQUhK2tLZs3b27U8U5OTvj4+LBr1y6D7bt27SI0NNTguHvuuYdPP/2U7777jh9//JHc3FxAF6RNmjSJFStWsG3bNvbs2cORI0eIiIigpqaG7OxsunXrZvDw8vLSX9vPz49HHnmEn376iaeeeopPP/3UCN8J0Vykh6kdyiutoqK6hk7Wl4bkvE0VMIFuWK7grC5g8huIk40lnVxsOZdfpj8kMbOIkMtKDgghRC0bGxueffZZnnnmGaysrBg6dCg5OTnEx8dfcZhuwYIFvPzyy3Tt2pU+ffrw5ZdfEhcXx+rVqwF499138fb2JiIiApVKxQ8//ICXlxcuLi6sWrWKmpoaBg0ahJ2dHf/5z3+wtbWlc+fOuLm5ERUVxX333adPMs/JyWHz5s2Eh4dz2223MX/+fMaPH0/37t3Jy8tj69athISEtOS3TDSRBEztUHp+GU6U4KDo6htl4I6no/E+6TWZix+koltT7qJgL0eDgCkhs5DJdDJB44QQrcWLL76IhYUFL730Eunp6Xh7e/PII49c8fh58+ZRUFDAU089RXZ2NqGhoaxfv56goCAAHB0dWbp0KUlJSajVagYMGMCvv/6KSqXCxcWFN998kyeffJKamhrCwsLYsGGDPkfpyy+/5PXXX+epp57i3LlzuLu7M3jwYCZOnAhATU0Nc+bMIS0tDScnJ8aNG8d7773X/N8kcd0kYGqH0vPL9CUFzmudcHFywkJtwtFZZ1/dc0GdmXJejmw5nq1/LYnfQohrUalUPP/88zz//PP19jW0YoBKpeLll1/m5ZdfbvB6s2fPZvbs2Q3umzx5MpMnT75iWywtLXnllVd45ZVXGtz/wQcfXPFcYZ4kh6kdyigo1yd8n9O64+1sY9oG1c6Uq1NaQNaUE0IIYU4kYGqH0gvKDAMmU+YvwaXilXV6mC7PV8ooKCevRBbwFKI1sXO2YsBtAUadDSeEqUjA1A6l55fjo1zQfa11M90MuVr6WkyXcpi6uNtjfVkZgfh0WSJFiNbE3tmagZO6GHU2nBCmIgFTO5SRf6nKt3kMyV3MYaoohLJ8ACzUqnr1mI6mF7Rww4QQQggdCZjaofo5TCbuYbKyBzvdzJK6w3I9OzkbHCY9TEIIIUxFAqZ2pkajJbOwnE4Xh+RMWrSyrtpepjqJ3z19DPOY4s9JD5MQLaWhWWVCGEtr/PmSgKmdyS4qx0JTQUdFF3zokr5NPCQHl/KYCs/pN/XyMexhSr5QQnFFdUu2Soh2x9LSEoDS0lITt0S0ZbU/X7U/b62B1GFqZ9Lzy/FSdGX9S7XWlFo44WZvBjNYnOvPlAv2ckStUqjR6D6JaLWQkFHIgABXU7RQiHZBrVbj4uJCdrauDpqdnR2Kopi4VaKt0Gq1lJaWkp2djYuLS7219syZBEztTHp+mcEMOW9nW/P4ZagvXnlpppyNpZogDweO16nBdPRcgQRMQjSz2vXOaoMmIYzNxcXFYF291kACpnYmo04NpnStGz6mTviu1UDABNDTx9kgYJLEbyGan6IoeHt74+HhQVVVlambI9oYS0vLVtWzVEsCpnYmPb8cHy4lfJtF/hI0WIsJdInfPx649PqoJH4L0WLUanWr/MMmRHOQpO92JqOgDB9z7mEqyoCaS59oe11WWuBkdjHlVTUt2TIhhBBCAqb2xrDKtzs+5lBSAMC+I6itQKvRBU0XhXgbFq+s1mhlXTkhhBAtTgKmdsYghwk38xmSU6nAqZPu6zrDco42lgS62xsceliG5YQQQrQwCZjakfKqGs4XV+h7mM5p3c1nSA6umPjd29dwWC4uNb+FGiSEEELoSMDUjmQWlNOBImyVSgCytB3wMZceJqgTMJ012NzHz8Xg9aG0/JZpjxBCCHFRkwOmHTt2MGnSJHx8fFAUhXXr1hns12q1vPTSS3h7e2Nra8vo0aNJSkoyOCY3N5eoqCicnJxwcXFh1qxZFBcXGxxz+PBhbrrpJmxsbPDz82Pp0qVNf3fCQHpBGT4Xi1bmaJ2xsrbD0caMqqzqA6ZzBpt7XxYwncopprBcpjoLIYRoOU0OmEpKSujduzcrV65scP/SpUtZsWIFH3/8MdHR0djb2zN27FjKy8v1x0RFRREfH8+mTZv4+eef2bFjBw8//LB+f2FhIWPGjKFz587Exsby9ttvs2jRIj755JPreIuiVkZ+ucEMObPJX6rVQA4TQIi3E5bqS8U1tVo4kiZ5TEIIIVpOk+swjR8/nvHjxze4T6vVsnz5cl544QVuv/12AL7++ms8PT1Zt24d06ZNIyEhgY0bN7Jv3z769+8PwAcffMCECRN455138PHxYfXq1VRWVvLFF19gZWVFz549iYuL49133zUIrETTpOeX4V2nyrfZzJCr1cB6cqCr+B3q7cShOkFS3Nl8hnZzb8nWCSGEaMeMmsOUnJxMZmYmo0eP1m9zdnZm0KBB7NmzB4A9e/bg4uKiD5YARo8ejUqlIjo6Wn/M8OHDsbK6tMbZ2LFjSUxMJC8vr8F7V1RUUFhYqH8UFcnU88ulFxiWFPA2p4RvAOfaHqaz9XZdPiwXdza/+dsjhBBCXGTUgCkzMxMAT09Pg+2enp76fZmZmXh4eBjst7CwwNXV1eCYhq5R9x6XW7JkCc7OzvpHaGjojb+hNsZwWRRXfJzNdEiuvAAqDAPeyxO/487mo9VqW6hhQggh2rs2M0tu4cKFFBQU6B/Hjh0zdZPMjm5ITpf0bVZFK2vZOIH1xRIC10j8zimqIKOgHCGEEO3bkiVLGDBgAI6Ojnh4eDB58mQSExMNjikvL2fOnDm4ubnh4ODA1KlTycrKatJ9jBow1a48fHkjsrKy9Pu8vLzqrYBdXV1Nbm6uwTENXaPuPS5nbW2Nk5OT/uHo6Njgce1Z3aTvDHNM+oZLw3KFhonfgW72ONkYptwdkmE5IYRo97Zv386cOXPYu3cvmzZtoqqqijFjxlBSUqI/5oknnmDDhg388MMPbN++nfT0dKZMmdKk+xg1YAoMDMTLy4vNmzfrtxUWFhIdHU1kZCQAkZGR5OfnExsbqz9my5YtaDQaBg0apD9mx44dBqtkb9q0ieDgYDp06GDMJrcbReVVlFZU4IkuB+ycOa0jV9cVileqVEq9XqYDqQ3nswkhhGg/Nm7cyP3330/Pnj3p3bs3q1atIjU1VR9nFBQU8Pnnn/Puu+8ycuRI+vXrx5dffsnu3bvZu3dvo+/T5ICpuLiYuLg44uLiAF2id1xcHKmpqSiKwvz583n99ddZv349R44c4b777sPHx4fJkycDEBISwrhx45g9ezYxMTHs2rWLuXPnMm3aNHx8fAC49957sbKyYtasWcTHx/Pdd9/x/vvv8+STTza1ueKijIJyPMlDrWip1Ko5jzNe5pbDBHVKC5yrtyvC3zBYjkmRgEkIIdqqoqIig8lcFRUVjTqvoEA3o9rV1RWA2NhYqqqqDCak9ejRA39/f/2EtMZoclmB/fv3c8stt+hf1wYxM2fOZNWqVTzzzDOUlJTw8MMPk5+fz7Bhw9i4cSM2Npf+OK9evZq5c+cyatQoVCoVU6dOZcWKFfr9zs7O/PHHH8yZM4d+/frh7u7OSy+9JCUFbsC5OiUFsrSuuDnYYGOpNnGrGnCFHiaAQYGuBq/jzxVQUlGNvXWTf4yFEEKYucsnb7388sssWrToqudoNBrmz5/P0KFD6dWrF6CbLGZlZYWLi4vBsXUnpDVGk//SjBgx4qqzkxRF4dVXX+XVV1+94jGurq6sWbPmqvcJDw/nr7/+amrzxBVk5JfTqbakAG7mV1KgVm3AVFg/YIrwd8FCpVCt0f38VWu0HEzNZ1iQ1GMSQoi25tixY3Tq1En/2tra+prnzJkzh6NHj7Jz506jt6fNzJITV5dRcHnRSjMcjoOrDsnZWVnQq5PhQrwxKbkt0SohhBAtzNHR0WAy17UCprlz5/Lzzz+zdetWfH199du9vLyorKwkPz/f4Pi6E9IaQwKmdqLukFyGtjX0MJ3TrYFymYGXDcvFJF9oiVYJIYQwU1qtlrlz57J27Vq2bNlCYGCgwf5+/fphaWlpMCEtMTGR1NRU/YS0xpCAqZ3QlRRoDT1MusR/qsuhtH7v0cAAw4DpYGo+FdU1LdEyIYQQZmjOnDn85z//Yc2aNTg6OpKZmUlmZiZlZWWALi961qxZPPnkk2zdupXY2FgeeOABIiMjGTx4cKPvIwFTO1F3SC5D62q+PUwW1mB/sRJ8A0ukDAhwRbm0Di8V1RqOnpOFeIUQor366KOPKCgoYMSIEXh7e+sf3333nf6Y9957j4kTJzJ16lSGDx+Ol5cXP/30U5PuI9OL2gGtVkt6QTneajOu8l2XcycoydYNy/n0MdxlZ0mwpyPHMy8tnRKdnEu/zq4IIYRofxqzTJaNjQ0rV65k5cqV130f6WFqBy6UVKJUl+OuFAJmPiQHdUoL1E/8hvp5TNGnJfFbCCFE85KAqR3IyC/XD8eVaq0pVjng4WjGAZNTbcBUf0gOGkr8zqW8SvKYhBBCNB8JmNqBc3UW3c3QuuLlZItapVzjLBPSryfXcA/T0K7uBnlMZVU17Jeq30IIIZqRBEztQEZBGT5cmiHnbY5LotR1lVpMAB3srejt62KwbfuJ7AaPFUIIIYxBAqZ2IKOg3LAGkzknfINhLaYruLl7R4PXO06cb84WCSGEaOckYGoH0vPL9DWYMjDzhG+41MNUmA6ahnOTbg42DJgSs4rIKChr7pYJIYRopyRgagfS8y9bFsVcazDVcvQCRQ3aGijOavCQ3r4uONtaGmzbcSKnJVonhBCiHZKAqR3QDcldSvo2+xwmlRocvXVfXyGPSa1S6i26u10CJiGEEM1EAqY2rrpGQ1bh5cuimHkPE9SZKZd2xUMuz2P6K+k8VTWa5myVEEKIdkoCpjYuq6gCW20ZTkopoEv6bhUB0zVmykH9gKmovJpdJyX5WwghhPFJwNTGZdTJXyrU2lFtYU8HO8trnGUGrlGLCcDTyYYIfxeDbT8fzmjGRgkhhGivJGBq49ILDIfjOrnYoihmXLSylr7a95WH5AAmhvsYvP49PpPKahmWE0IIYVwSMLVx6ZdV+fY295ICtRrRwwQwIczL4HVReTU7T0rytxBCCOOSgKmNy6hbg0nrhre5lxSo1YgcJgBvZ1v6d+5gsE2G5YQQQhibBExtXHpBOd60shlycKnad3EWVFde9dDbwr0NXm+Kz5LFeIUQQhiVBExtXP2ila1kSM7OHdRWgBaKrt5jNCHM22Ax3qKKarYcl7XlhBBCGI8ETG1cRp2k7wxawTpytVQqcLqY0H2NPCZPJxsGBrgabPtvTGpztUwIIUQ7JAFTG1ZeVUNuSYVh0crW0sMEdWbKXT1gAri7v5/B650nz3M2t7Q5WiWEEKIdkoCpDcsoKMeFYmwVXQ5Qpta19fQwQaOqfdeaEOaNo42F/rVWC//Ze6a5WiaEEKKdkYCpDUuvM0PuvNYJaxs7HKwtrnGWGWnkTDkAWys1U/v6GmxbE5NKSUV1c7RMCCFEOyMBUxtWN+E7Q+vaembI1WpkLaZaM4cEGCZ/l1fz3b6zzdAwIYQQ7Y0ETG1YRkF5naKVraikQK1GVvuuFehuz6geHgbb/r3jlJQYEEIIccMkYGrD6g7JpWvd8G5NCd/Q5B4mgH/c3NXgdVZhhcyYE0IIccMkYGrD0gvK6wzJtcIeptrilaUXoKqsUacMCHBlaDc3g20rNidRUFZl7NYJIYRoRyRgasMu72HyaS3ryNWycQFLe93XhemNPu2J0d0NXueVVvH+n0lGbJgQQoj2RgKmNkqr1erWkau7LEprWUeulqJcGpYraHzydv8AV8b1NFyUd9XuZA6n5RuxcUIIIdoTCZjaqMKyakorq/BszUnf0KTSAnU9N74HVupLP94aLTz5/SEpMyCEEOK6SMDURp3LL8OdAqyUGmq0CtlKBzydWtmQHFzKY2pC4jdAgLs980Z1M9h2MruY5346glarNVbrhBBCtBMSMLVRGQWX8pey6YCbox1WFq3wn9u5aaUF6np4eFd6+jgZbNtwKJ2vdqcYoWFCCCHaE6P/Ba2pqeHFF18kMDAQW1tbunbtymuvvWbwqV6r1fLSSy/h7e2Nra0to0ePJinJMCk3NzeXqKgonJyccHFxYdasWRQXFxu7uW2Wrmhl7XCcK96tLX+pllPTSwvUsrJQ8a+ovgZLpgC8+vMxfj7c+CRyIYQQwugB01tvvcVHH33Ehx9+SEJCAm+99RZLly7lgw8+0B+zdOlSVqxYwccff0x0dDT29vaMHTuW8vJy/TFRUVHEx8ezadMmfv75Z3bs2MHDDz9s7Oa2Wefyy+vMkHOnU2vMX4I6Sd9ND5gAOrvZ8+7dfQy2abQw/9s4/ojPvMHGCSGEaC+MHjDt3r2b22+/ndtuu42AgADuvPNOxowZQ0xMDKDrXVq+fDkvvPACt99+O+Hh4Xz99dekp6ezbt06ABISEti4cSOfffYZgwYNYtiwYXzwwQd8++23pKdLz0BjZBRcWhalVZYUqOXsp3u+jh6mWreGevL4SMN8pmqNljlrDrDhkPw8CSGEuDajB0xDhgxh8+bNnDhxAoBDhw6xc+dOxo8fD0BycjKZmZmMHj1af46zszODBg1iz549AOzZswcXFxf69++vP2b06NGoVCqio6MbvG9FRQWFhYX6R1FRkbHfWquiq8F0HmgjQ3IVhVBecN2XefLW7twX2dlgW1WNlnnfHpScJiGEENdk9KXrn3vuOQoLC+nRowdqtZqamhreeOMNoqKiAMjM1A2DeHp6Gpzn6emp35eZmYmHh+GaYBYWFri6uuqPudySJUt45ZVXjP12Wq30/HJ8LuYwpWvdGNRah+Ss7MC2A5Tl6YblbJyv6zKKorBoUk8qqzV8W2dBXq0WXl4fz/niCp68tTtK3dV7hRBCiIuM3sP0/fffs3r1atasWcOBAwf46quveOedd/jqq6+MfSsDCxcupKCgQP84duxYs97PnNVotGQWltcZknNvvUNycN2lBS6nUiksviOMmZf1NAF8sOUk/1x7hOoazQ3dQwghRNtk9B6mBQsW8NxzzzFt2jQAwsLCOHPmDEuWLGHmzJl4eekqMGdlZeHt7a0/Lysriz59+gDg5eVFdna2wXWrq6vJzc3Vn385a2trrK2t9a8LCwuN+bZaleyiclSaKjzIB1px0cpaTr6QeaRJ1b6vRKVSWPS3nrg7WLNs0wmDff+NOcuF4kpWTI/AxlJ9w/cSQgjRdhi9h6m0tBSVyvCyarUajUb3yT0wMBAvLy82b96s319YWEh0dDSRkZEAREZGkp+fT2xsrP6YLVu2oNFoGDRokLGb3Oak55fjqeShUrRUaC0osnDGzd7K1M26fjc4U+5yiqLw+KgglkwJQ3XZCNwfx7K474sYWaxXCCGEAaMHTJMmTeKNN97gl19+ISUlhbVr1/Luu+9yxx13ALo/VvPnz+f1119n/fr1HDlyhPvuuw8fHx8mT54MQEhICOPGjWP27NnExMSwa9cu5s6dy7Rp0/Dx8TF2k9uc9PwyfKhN+HbD29mudefm3EDxyquZPtCff0X1q1fQMyY5l3s/3UuxLKMihBDiIqMHTB988AF33nknjz32GCEhITz99NP84x//4LXXXtMf88wzz/D444/z8MMPM2DAAIqLi9m4cSM2NpfybFavXk2PHj0YNWoUEyZMYNiwYXzyySfGbm6bVLekQKsfjgPdkBzccA5TQ8b18uKbBwfWK24Zn17InNUHJKdJCCEE0Aw5TI6Ojixfvpzly5df8RhFUXj11Vd59dVXr3iMq6sra9asMXbz2gWDGXK4td6SArX0PUw3nsPUkEFd3Pj+H5Hc90UMOUUV+u3bT+Tw0vp43pjcq3X30AkhhLhhrXBxMXEt5+rUYErXutGpNc+QA8McJk3z9PiEeDvxwz8icb0s12tNdCrf72+eQE0IIUTrIQFTG1S/yncr72Fy9AZFBZoqKMlpttsEuNvz6X396+U0vbLhGGculDTbfYUQQpg/CZjaoPT8cjrVyWHybu0Bk9oSHC6WkzBy4vfl+nXuwLt39zbYVlpZw5PfH6JGo73CWUIIIdo6CZjamLLKGnJLKvU9TOe07q1/SA7qFK9s3oAJYGK4D9MG+Blsiz2Tx6d/nW72ewshhGiaHTt2MGnSJHx8fFAURb8uba37778fRVEMHuPGjWvyfSRgamMyCsqwpwwXRTeE1KrXkaurmUoLXMmLE0Pxd7Uz2PbB5iSDpHAhhBCmV1JSQu/evVm5cuUVjxk3bhwZGRn6x3//+98m38fos+SEaaXnX1oSpUBrh9rWGXvrNvDP3MIBk721Be/d05s7P96D9uJIXEllDe9uOsGSKWEt0gYhhBDXNn78eMaPH3/VY6ytra+4UkhjSQ9TG5NeUKbPX9KtIdcGepeg2UsLNKRfZ1em9vU12PbdvlSOZ7bfZXeEEKI12rZtGx4eHgQHB/Poo49y4cKFJl+jDXQ9iLrS65QUyNK60dXCkpzUoma5V1lVNa41uvpE+Vml2Fo234+TVaUbzkBN7llacpW3BWOD+eVwBmVVNQBotPDGLwl8M0uW6BFCiOZUVFRksC7s5WvGNta4ceOYMmUKgYGBnDp1in/+85+MHz+ePXv2oFY3/i+KBExtTHp+GX4Xe5gqqzoScqSU74/sa7b7TUL3w/vX14nNdg8Ad4t87nEHzYXUFg2YPJ1seOTmrrz356WFev9KOs+hs/n09nNpwZYIIUT7EhoaavD65ZdfZtGiRU2+zrRp0/Rfh4WFER4eTteuXdm2bRujRo1q9HUkYGpjMgrKGXQxYDqqcsV6jBd39/e7xlnXp6yqmoc/3MukMmtuui8Yb1+nZrkPgFLeDdaAZXUuVJWDZcvN/Js9PJD/RJ8xSPj+945T/CuqX4u1QQgh2ptjx47RqVMn/evr6V1qSJcuXXB3d+fkyZMSMLVn5/LL8EEXMKXgzqguznT0d2yWe5VWVpOr1mVEu3jaNdt9ANA6gKUdVJXq1pRz69p897qM3VtLmPXLId4c8YB+229HM0k5X0KAu32LtUOIdu211+Dll+GVV+DFF03dGtECHB0dcXIy/gfxtLQ0Lly4gLe3d5POk6TvNkSr1RrkMJ1rC1W+aylKi8+UA3S/pF96iXsP/oZjxaVq31otfCJ1mYRoGRf/H6LV6p7rLOYuRHFxMXFxccTFxQGQnJxMXFwcqampFBcXs2DBAvbu3UtKSgqbN2/m9ttvp1u3bowdO7ZJ95GAqQ3JL62ioqpaX1YgQ+uGt3MbKFpZq6VnytX+kgacKku59+BvBrv/F5smdZmEaG51/h/qSdAk6ti/fz8RERFEREQA8OSTTxIREcFLL72EWq3m8OHD/O1vf6N79+7MmjWLfv368ddffzV5iE+G5NqQc/lldKQAK6WGaq2KHKUDnk5tMWBqgR6mBn5JPxi7ni/7306lhSUAldUafjyQxiM3t9zwoBDtSkPBUq3a7TI81+6NGDECrfbKS1f9/vvvRrmP9DC1IRkF5XS6OByXiStujvZYqtvQP7HzxeT15u5husIvac/iXCYlbDfY9t2+s1f9jyqEuE5XC5ZqSU+TaEFt6K+pSM8v0wdM6Vo3fNrCGnJ16QOmZuxhusYv6emHDD+pJJ8vISY5t/naI0R71JhgqZYETaKFSMDUhhgmfLehKt+1aofk8puxh+nll6+6u9+5BLpeMLz/d/tarvq4EO3CNf4f3vDxQlwHCZjakPQ6Q3LpbWmGXC2XOj1MzTUM9sorV92tANMO/WGw7ZcjGRSUVjVPe4Roj67x//CGjxfiOkjA1Iboeph0M+TOaTvi05ZmyAE4+gAK1FRASU7z3OPFF+HVV6lWwU/DO3DPy10Z+O9QxrzTnddneJPpasmUo5uxrLkUIFVUa1h/6FzztEeI9uji/8NGefVVSfwWLUICpjYkI78M3zo9TN5trYfJwgocLxYaa8bE74Jn5vGPf43k5Qc7cSzQljJrFRnuVnw3yo07Xu/G8a4axlgVG5yz/lB6s7VHiHapMUGTBEuiBUnA1EZU12jILCw3yGHq1NYCJmj20gKlVaU8vOlhYmyysdNY8PS3Gax6q5IJCY/QI1VDsZ2auU8FEjrR1eC8fSl5ZBaUN0ubhGi3rhY0SbAkWpgETG1EVlEFdtpSnJVSoI3mMMGlPKZmSPzWarW8uOtFjl04RgfrDnx9+7dMH/Q4/jla/PNDWL6yijElvlQrWv6T/BqODgUG5/9yJMPobRKi3XvxRSpfXmS4TYIlYQISMLUR5/IulRTI19pTY2lPBztLE7eqGTRjte9fkn/hjzN/YKGy4P2R7xPsGkz1P5/nmz7jAVBmPczif6yjd8feFFcV06HzWkCjP//nwzIsJ0RzqP7n8ywbFoUGRRc8SbAkTEACpjYiLa9UHzCd07rj28EORVFM3Kpm4Nw8PUwFFQW8GfMmAI+EP0KER4R+37e9desNVT84C2u1NUtuWoKthS15muNYuuzXH3cwNZ+0vFKjtksIofPB0Ol0eXYD1f983tRNEe2UBExtRFqdHiZdwNQGh+MAXPx1zwWpRr3sJ4c/oaCigG4u3Xgw7MGrHuvn6MfcPnMBsPHYBKpL68n9KsNyQgjRJknA1EbU72FqowFTM/QwZRRnsOb4GgCe6v8UlqprD2VO7zEdf0d/UBdh5fqXfvsvRzKN1i4hhBDmQwKmNiIt71JJgTRtR3w72Jm4Rc2kNum7PB8qioxyyVXxq6jWVDPAawDDOg1r1DmWaksej3gcACvXXfpepkNn88kulNlyQgjR1kjA1EbUHZJLa8s9TNaOYNtB97URepkulF3gx6QfAXg4/OEmnXtr51vxd/RHUZdh6RKt377lePYNt0sIIYR5kYCpDajRaA0W3q1N+m6z9Ivw3njA9GPSj1TUVNDLrReDvAY16Vy1Ss2ssFkAWLnupnbG3J8JEjAJIURbIwFTG5BVWI5aU4GHkg+08RwmuJT4nX9jid/Vmmq+S/wOgKjQqOuaVTghcAJ2aidUlvlYOCQAsPNkDuVVNTfUNiGEEOZFAqY2IC3v0hpypVpryiydcbO3MnGrmpE+8fvGAqZtZ7eRXZqNq40rYzqPua5r2FjYcEe3OwCw7LAXgPIqDbtOnr+htgkhhDAvEjC1AfVnyNm3zRpMtYzUw7T25FoA7uh2B1bq6w8w/95zGgBq+5MoFvkA/JmQdUNtE0IIYV4kYGoDdDPkcgA4q+3YtofjoE4tpuvPYcopzWHnuZ0ATO42+Yaa4+voSyebXiiKFkvnWAA2J2Sj0Whv6LpCCCHMhwRMbUBaXqk+YEprTwHTDfQw/Xz6ZzRaDX069iHAOeCGm3Rn94vDci4HAC3ZRRUkZBbe8HWFEEKYh2YJmM6dO8ff//533NzcsLW1JSwsjP37Ly0hodVqeemll/D29sbW1pbRo0eTlJRkcI3c3FyioqJwcnLCxcWFWbNmUVxc3BzNbfXqlxRowzPk4FLAVJIDlde3FMmvyb8C8LdufzNKk+7tNRG0VqisLqCySQPgryTJYxJCiLbC6AFTXl4eQ4cOxdLSkt9++41jx46xbNkyOnTooD9m6dKlrFixgo8//pjo6Gjs7e0ZO3Ys5eWXCv5FRUURHx/Ppk2b+Pnnn9mxYwcPP9y0OjntRd0huXbRw2TrAtbOuq+vY1judMFpjucex0Kx4Fb/W43SJDtLOzpZ9QfA0ikOgB0ncoxybSGEEKZn9IDprbfews/Pjy+//JKBAwcSGBjImDFj6Nq1K6DrXVq+fDkvvPACt99+O+Hh4Xz99dekp6ezbt06ABISEti4cSOfffYZgwYNYtiwYXzwwQd8++23pKfLivB11dZgahdVvuu6gWG535J/A2BIpyG42LgYrUljOo8DwMLpMKBhf0oepZXVRru+EEII0zF6wLR+/Xr69+/PXXfdhYeHBxEREXz66af6/cnJyWRmZjJ69Gj9NmdnZwYNGsSePXsA2LNnDy4uLvTv319/zOjRo1GpVERHX6qoXFdFRQWFhYX6R1GRcZbNMHdZheWoNJV4kgfoAqZOLm28hwnqBExnmnzqppRNAIwLGGfMFnF/n7Foa2xRWRahtk2lskZDdHKuUe8hhBDCNIweMJ0+fZqPPvqIoKAgfv/9dx599FHmzZvHV199BUBmpm5xUk9PT4PzPD099fsyMzPx8PAw2G9hYYGrq6v+mMstWbIEZ2dn/SM0NNTYb80sncsvw1u5gErRUqq1psTCGXeHNlyDqdZ19jCdLjjNqYJTWKgsuNnvZqM2ydXeDmdtbwAsHI8CMiwnhBBthdEDJo1GQ9++fVm8eDERERE8/PDDzJ49m48//tjYtzKwcOFCCgoK9I9jx4416/3MheEMOV3Cd5uuwVTrOgOmzWc2AzDIexBOVk7GbhWDPXVBmC5g0kritxBCtBFGD5i8vb3r9e6EhISQmqr7w+bl5QVAVpZhYb+srCz9Pi8vL7KzDdfjqq6uJjc3V3/M5aytrXFyctI/HB0djfJ+zF1abhl+FwOmNr+GXF21AVNe04bkNqfqAqbR/qOvceT1uafXrWg1Vqis8lHZnONkdjHp+WXNci8hhBAtx+gB09ChQ0lMTDTYduLECTp37gxAYGAgXl5ebN68Wb+/sLCQ6OhoIiMjAYiMjCQ/P5/Y2Fj9MVu2bEGj0TBoUNMWSG3r0vLK8FN0weVZrUfbnyFX6zpymLJLs4m/EI+Cwgi/Ec3SrH7+HijlwQB11paTXiYhhGjtjB4wPfHEE+zdu5fFixdz8uRJ1qxZwyeffMKcOXMAUBSF+fPn8/rrr7N+/XqOHDnCfffdh4+PD5MnTwZ0PVLjxo1j9uzZxMTEsGvXLubOncu0adPw8fExdpNbtbT8Un0P09n2MkMOoIMuAKf0AlQ0rj7X9rTtAIS5h+Fu694szVKrFIIcBgJg4XAcgL2nLjTLvYQQQrQcowdMAwYMYO3atfz3v/+lV69evPbaayxfvpyoqCj9Mc888wyPP/44Dz/8MAMGDKC4uJiNGzdiY2OjP2b16tX06NGDUaNGMWHCBIYNG8Ynn3xi7Oa2eroeptqAqR31MNk4Q21JgEb2Mm0/qwuYmqt3qdaYgBFotQpq23MoFgXsOX0BrVaWSRFCiNbMojkuOnHiRCZOnHjF/Yqi8Oqrr/Lqq69e8RhXV1fWrFnTHM1rM/Q1mCxqh+TaQdHKujp0hox8XR6TZ8+rHlpeXU50hq4khbFnx11udHBXVhz1Q22XioXDcTLynTlzoZQAd/tmva8QQojmI2vJtWLZReVY1JTRUdGtWdauhuQAXC4OyzWih2l/1n7Ka8rxtPMkyCWoWZvVtaMD1lW6AE7toMvn23NahuWEEKI1k4CpFau7hlyh1o4KC6f2UYOpVm0eUyNKC/yV9hcAwzoNa/ayC4qi0NttMAAWdieBavZIHpMQQrRqEjC1Yml5lyd827aPGky1anuYGlFaYOe5nQDc1Omm5myR3q1d+6KpdkBRV6K2S5E8JiGEaOUkYGrFdDWYdPlL7WYNuboaOSR3tvAsqUWpWCgWDPJumbIUQ7p1pKa4OwAWDifIKargVE5Ji9xbCCGE8UnA1Iql5tbvYWpXOgTonvPOwFV6b3an7wagt0dvHKwcWqBhEOBmh4PmYh6TfRIgeUxCCNGaScDUip3JLcX/Yg/TGa0nnd3aWw/TxeKVlUVQeuVFbmsDpqE+Q1uiVYAuj2mQty6PSW2TgaIuknpMQgjRiknA1IqdzS3FX9EtMXNW64G/azsLmCxtwPFiIdO85AYPqdJUEZMZA8AQnyEt1TIAbu4aSE1ZJwDU9ifZK3lMQgjRaknA1EqVV9WQWVhm0MPk79oO6/zoh+VSGtx99PxRiquKcbF2oYdrjxZrFkBkVzeqS3QlDCzsT3ChpJITWY2rSi6EEMK8SMDUSqXlleKqLcReqUCjVTindce/vQ3JQZ2AqeEepr0ZewEY6DUQtUrdQo3S8XO1o4OiW4habX8K0LLnlKwrJ4QQrZEETK1Uap38pQxccbS3x8G6WQq3m7dr9DDtTdcFTIN9BrdMey4zxLc/Wo0FKstCVFY5kvgthBCtlARMrdSZC6X6kgJntR7ts3cJDGfKXaa0qpTDOYcBGOxlmoBpWFdvakoDAN1suf0peZLHJIQQrZAETK3UmQuXephSNR50bm8J37Wu0sMUmxVLtbYaH3sffB19W7RZtQYGulJT2g3QJX5fKKmUekxCCNEKScDUSp2tMySX2h5nyNWqDZgK0qC6wmBX7ey4Qd6DTFYB3beDLc7o8pgs7JIBDftSrlwCQQghhHmSgKmVOpNbSmeVrqRAqtYTf7d2OEMOwMEDLO0Bbb015WoDpoHeA03QMB1FURjYKQxtjTWKuhyVTTr7kiVgEkIIY9mxYweTJk3Cx8cHRVFYt26dwX6tVstLL72Et7c3tra2jB49mqSkpCbfRwKmVkij0ZKaW0rnizWYUtpj0cpaigKugbqvcy/NlCuoKCDhQgKgmyFnSoMD3akp7QKA2u4U0RIwCSGE0ZSUlNC7d29WrlzZ4P6lS5eyYsUKPv74Y6Kjo7G3t2fs2LGUl5c36T7tcFpV65ddVIGqugwvizygtgZTOw2YQDcsl3XUoLTA/qz9aNES4BSAh52H6doGDAh0pXpHVywcE7CwP8W5s2Wk55fh49LOlrIRQohmMH78eMaPH9/gPq1Wy/Lly3nhhRe4/fbbAfj666/x9PRk3bp1TJs2rdH3kR6mVujMhRJ9/lKB1o4KSyc8HK1N3CoTctX13pB7Wr9pf+Z+wPS9SwDdPRyxrQkGQG2bAtRIHpMQQrSA5ORkMjMzGT16tH6bs7MzgwYNYs+ePU26lgRMrdAZg+E4L/xd7UyW1GwWGhiSq81fGuA9wBQtMqBSKfT3CUFbbYeirkRlc44YGZYTQoirKioqorCwUP+oqKi49kmXyczMBMDT09Ngu6enp35fY0nA1AqdrRMwtesZcrUu62HKL8/nRN4JAPp79jdVqwwMDHSnulQX2FnYn5YeJiGEuIbQ0FCcnZ31jyVLlpi0PZLD1AqduVDKgIsBU7tdQ66uDhd7mPLPgKaG2KxYALo6d8Xd1t2EDbtkQIArNXu7YOkUj9ruNCfOFpNXUkkHeytTN00IIczSsWPH6NSpk/61tXXTU0+8vLwAyMrKwtvbW789KyuLPn36NOla0sPUCtUdktMFTO08edjZF1SWUFMJhefYl7UPgP5e5tG7BBDWyRl15cUClnYpQA37z+SZtE1CCGHOHB0dcXJy0j+uJ2AKDAzEy8uLzZs367cVFhYSHR1NZGRkk64lAVMro9VqSc4pJkDRjb2maLwIcG/nPUwq9aUClrmn2ZdpfgGTlYWK3p7BujwmlS6PSYblhBDixhUXFxMXF0dcXBygS/SOi4sjNTUVRVGYP38+r7/+OuvXr+fIkSPcd999+Pj4MHny5CbdR4bkWpm80irKysvpZK1b9T5F60UXdwcTt8oMuHWFC0kUZMeTlKcrSGYu+Uu1BgW4c+hEAJaOx7CwP01McripmySEEK3e/v37ueWWW/Svn3zySQBmzpzJqlWreOaZZygpKeHhhx8mPz+fYcOGsXHjRmxsbJp0HwmYWpnk88X4K1moFS3FWhvy1S506tDOh+QAXLsCuvXjtGgJdA40m/ylWgMCXfnoYBcsHY+htjvN0XMFlFZWY2cl/w2FqEur1XIiq5g/E7I4cCaPM7ml+n1//yyaEG8nRgR7MKybO7ZWahO2VJiDESNGXHVRc0VRePXVV3n11Vdv6D7ym7qVOZ1Tcmk4TuuFv6s9alU7LilQ62Jpgf2Fuply5ta7BNDXvwPacl1gp7ZNoUxTTVxqPkO6mVdgJ4SpVFZrWHswjX9vP01eWgYDMhPoe/4UE0vOY1dVTrVKzQVbZ046d2KZVyiPd+zM5L5+PDaiG/7tdbUD0WIkYGplUi4YBkyBMhyn46YLRPZX5YLaPAMme2sLQty6k1xjo19XLiYlVwImIYDfjmTw+i8JOJ1K4IHETfTPTmzwuC6FGQzIOs70E5s5b+PET4k3My46ktsHd+O58T1wtrVs4ZaL9kICplYm+XwJQy4GTMlaL7p0bOcJ37Vcu1KkKCSqNIBCP89+pm5RgwYGuHMyJRALxwTUdsmS+C3avYLSKl5ef5Tdu48yN+5HBtQJlE64+LLPM4TTzj5YqOwYX6rioDaLLrlJ9M9KxL28kIePbuCupK18njaRcceH8vZdfRgWJB9ChPFJwNTKnM4p4d46M+T6t/cZcrWcfTloZ49GUfCz88bT3vPa55jAgABXvj6mC5gs7JI5cCafqhoNlmqZsCranxNZRTzwRQyhh3fw0ZH/w666gmpFxSb/AXzffSTqTr6M7OHBRG9Hlv8Qz6BiGzqNGsG2vCLeO53DzWdimZb4J96luTx94Ft2ZxxlTs5UZk3sx+Mju7XvFRCE0UnA1IpoNFrdkJxKV4MpWevFnW4SMAGgUrPf2QOopr+Dv6lbc0UDAjpQc7Hit9oumeKqKuLTC+nj52LahgnRwnYmnWfO1zHM2PcDt6XsBSDeNYB3+96Dd8/uLB0VxE1B7iiKQmllNct/iAfgjr6d+H9dO5BdVM6nO7rx+O4BTDy2hajjfzAk4yhd89N4uWIWZy6UsmRKGFYW8mFEGIcETK1IVlE52qpyfG10JQVkSM5QrI0laKvpr3Y0dVOuyM3BmgDHILJrrHR5TNaZ7EvOlYBJtCsbj2ay4KvdLIj+mgHZiWhQ+DpkHBvDbuWVO8K5vY/PNXuHPBxteP62UB4YGsiC/7kz37MHC/f/B9/iHJbtWMkb5fcxu7iCT+7rh7WFzKQTN05C71YkOaeEwIvDcXlaByqsOuDh2PTKp21RaVUpx7TlAPSrqDRxa65uUGBHasoCAF3V7xjJYxLtyJbjWTzz9W4W7fqEAdmJlKsteW3QTE7cOpWNT41gckSnJg2l+bjY8s2Dg7g3ajRP3fw4R9wCsa8u55U9n1O6YwdzVh+kqkbTjO9ItBcSMLUip8+X0EVJB3S9SwFu9jJGf9GhnENUo8W7uppOeedM3ZyrGhDgajAstz8lF43myjVEhGgrdp08z7xVe3lh1+eE5p6hyNKWZ4c9iuuY0fx39mC8na+vppxKpfDQTV1YNms4r938GH/5hGOpreGFmK84v/0v5n8bR438HxM3SAKmViTl/KUeptNaHwJlOE6vdsHdfuUVcOGUiVtzdZcHTHmllZzKKTZxq4RoXiezi3jsqxie2f0lYRdOU2JhwwtDZtNv7DA+nN4XG8sbHza7NdSTrx8ZysqhM9nt1RMrTTUvR3/Jye17WbrxuBHehWjPJGBqRZLPl9BFpethOq3xoovMkNO7FDCVQ8FZqCozcYuuzLeDLR2tuqHVWKCyKEaxOi/DcqJNyy2p5MFV+7l3/4/6YbiXImcRPnoIb0zuhcqIxXcj/Dvw2azBLB9yP/s8grGpqeKl6FX8tDGW7/edNdp9RPvT7AHTm2++qV/8rlZ5eTlz5szBzc0NBwcHpk6dSlZWlsF5qamp3HbbbdjZ2eHh4cGCBQuorq5u7uaateTzJXRVMoCLPUwSMAFQWVPJ4ZzDAPTVWANas+5lUhSFQYEe1JT5AWBhd5p9yRIwibapukbDo/+JJXz/Jv6WvBuAt/vdS+ebI3lrarhRg6VaAwJc+fjBwSwdPJPTTt64VhTx8t4vefWH/VL7TFy3Zg2Y9u3bx7///W/Cww0XGX3iiSfYsGEDP/zwA9u3byc9PZ0pU6bo99fU1HDbbbdRWVnJ7t27+eqrr1i1ahUvvfRSczbXrFXVaEjNLSHwYsCUrPUiQAImAI6eP0qlphI3GzcCXXRDXVxIMm2jrmFgoOGwXHRy7lXXQhKitXp30wmK9+3nkSP/B8AXoRMoGTiMd+/u06zLOg3t5s6Ld/Vj0eAHybV2pGthOo/v/5bHVx/gQnFFs91XtF3NFjAVFxcTFRXFp59+SocOHfTbCwoK+Pzzz3n33XcZOXIk/fr148svv2T37t3s3aurxfHHH39w7Ngx/vOf/9CnTx/Gjx/Pa6+9xsqVK6msNO8ZUM3lzIVSXDQFOCulaLQKKVoZkqulH47z7IfiHqzbeP6kCVt0bQMDXKkp7QLoAqaMgjLS8sx3GFGI67E1MZvVvx/iuf3/Qa3VsNU3gp39x/Ppff1bZNHcewb4c8e4frw26H6qFDXD0w/T79AWnvz+kEy0EE3WbAHTnDlzuO222xg9erTB9tjYWKqqqgy29+jRA39/f/bs2QPAnj17CAsLw9PzUrXmsWPHUlhYSHx8fIP3q6iooLCwUP8oKipqhndlOiezi+l6cYbcWW1HHB0ccbGzMnGrzEPdgAn3IN3G8ydM2KJr6+bhgJOqK1qtCpVlAYplngwViDYlq7Ccp749wNOx/8W9vJBUBw8+6ncXH83oj4eTTYu149lxPXAb2Jcvet4GwD+OrudczEH+veN0i7VBtA3NEjB9++23HDhwgCVLltTbl5mZiZWVFS4uLgbbPT09yczM1B9TN1iq3V+7ryFLlizB2dlZ/wgNDTXCOzEfJ7OL6KbSTZc/qe1EkIcsugtQranmYPZB4GLA1LG2h6nhhTvNhaIoDOzshabMF9D1MsVIHpNoI7RaLc/87zC3HN5M/4tJ3osHzuCJSX1avEirWqWw/J4IdvUZzW6vnlhqanhu33/48LcjHM8sbNG2iNbN6AHT2bNn+X//7/+xevVqbGxa7lPEwoULKSgo0D+OHTvWYvduCSezi+mm6AKmU1ofuknABMDx3OOUVpfiZOVEUIcgcO+u23E+CTTmXaxuQIAr1XXymCRgEm3FmphUUvYfZmbCbwB8EnY7wYP78MDQAJO0p6OjNe9Pj+D9fveQY+tMp5Lz/P3ILzz1/SEpaikazegBU2xsLNnZ2fTt2xcLCwssLCzYvn07K1aswMLCAk9PTyorK8nPzzc4LysrCy8vLwC8vLzqzZqrfV17zOWsra1xcnLSPxwdzXd5jOuRVGdI7qTWhyBPCZgA9mfuB6CvZ19Uigo6BILKEqpKodC8C1gOCnTTJ35b2CVz+nwJ2UXlJm6VEDfmzIUS3lx/hKdjv8VSU0O0ZwixvYaz9M5wkxbaHdLVnemje7G8z90ATD69E9Xhg6zcat75jsJ8GD1gGjVqFEeOHCEuLk7/6N+/P1FRUfqvLS0t2bx5s/6cxMREUlNTiYyMBCAyMpIjR46QnZ2tP2bTpk04OTm1uaG2xtBotJzKKabrxRpMJzWd6NZRAiaA/Vm6gKm/Z3/dBrUFuHXVfW3mw3Ih3o7Y1nRFq1VQWV1AsShgf0qeqZslxHXTarU89+MRbj/6B90KzlFgZcf7EXex9K7eZpFz+cTo7hSF9eO3zoN0rw98x2d/xHP0XIGJWyZaA6MHTI6OjvTq1cvgYW9vj5ubG7169cLZ2ZlZs2bx5JNPsnXrVmJjY3nggQeIjIxk8ODBAIwZM4bQ0FBmzJjBoUOH+P3333nhhReYM2cO1tbtb+20c/llqKpK6aRcAC4OyUkPEzWaGg5kHQDqBExQJ/HbvEsLWKhV9PP3QVPuA8iwnGj9/hebxrm4eO4+sQWAD3tPZcLNvRgR7GHilunYWKpZdndvvgj/G1m2HfAuzWXmkQ089f0hKqtlaE5cnUkqfb/33ntMnDiRqVOnMnz4cLy8vPjpp5/0+9VqNT///DNqtZrIyEj+/ve/c9999/Hqq6+aorkmV3eGXI7WCWw70NGh/QWOl0vKT6Koqgh7S3uCXYMv7agtLZBj/kshNFSPSYjW6EJxBYt/iWde3P+w1Nawx6snyaGD+OeEEFM3zUC4rwsP3NqT9/rqhuYmJu/B6uhBPtsps+bE1Vm0xE22bdtm8NrGxoaVK1eycuXKK57TuXNnfv3112ZuWeuQlF1EdyVN97XGl25eDrLoLrAvcx8AfTz6YKGq86PscfEXdHYrCZh2BYLbTtR2pzmeXEhBWRXOtpambpoQTfL6LwkMPraTnrkplFpY86/wO1h6Ry/srVvkz0yTPD4yiD8TsvnlXCS3pexh7uGfeGpTFyaF++Dnamfq5gkzJWvJtQJJWcUEXSwpkCQlBfRqE74NhuPgUmmBnONg5tWzw32dUVVeLGBpnQOqImLPSC+TaF3+Ssph254EHoz/BYCvQsYxaHAII3t4XuNM07CyUPHmlDC+6jmePGsH/IuymZCwlVc2NFznTwiQgKlVOJlTTFBtD5PWV0oKABqththsXcHKegGTWxAoKijPh+Ks+iebEWsLNX06daKmXDf7U4blRGtTXlXDC+uO8sjhdThUl5Po4se2kJt5eZJ5T9Dp7efC7Tf14LOekwCYnvgnR/Yn8Ed8w7X+hJCAycxptVpOZhXrh+ROaCRgAjiZf5KCigJsLWzp6d7TcKelja68AEB2Qss3rokGXZbHJInfojX5fGcyrglxDE8/TI2iYkWfO3nutp54OLZcHb7rtWBsDw6HDOaQe1dsaqp49PA6XlkfT2ll+17oXTRMAiYzl11UQU1FMX6qHABOSA8TcGk4rnfH3liqGsj3qc1jajWJ37Xryp3mSFoBZZU1Jm6VENeWUVDGR38m8siRdQBsCBxKh969mDbAz7QNayRnW0temNiTlb2nUKWoGZSVgH/Cfj7cIrWZRH0SMJm5pKy6M+ScqbRywcfZ1sStMr3a+ksDvQY2fEDHHrrnVtDD1Ne/A9ryiwGTTRY1ShEHU6UekzB/b/52nNGJO/AvyqbAyp7VIWN45W89Ualaz6SU2/v44NcnlB+DbgZg9tH1rNqexNncUhO3TJgb85u+IAwczyykhyoVuDgc5+nQqn4ZNQeNVqPvYeqm9CQntf5Cy9aqAJyAqrSj5Dewv7HKqqpxrdF9v/OzSrG1bJ7/MpFOXhwu90Jrk6nPYxrSzb1Z7iWEMcQk57ItOpHPj/8BwJehE/jbsGB6dXI2ccuaRlEUXr29F7cnjWZ06n68S3O5LXEbb/7WiZVRfU3dPGFGJGAycwkZRYQoZwFI1PoR4uVk4haZ3qn8U+RV5GGFNUf+Vcwx7b56x7haVDPdHbSZx/h+cQxw/UHmJHQ1r/76uvkqh0cCNQFBHPXORG13WvKYhFmr0Wh5eX089x/7Dfvqck64+LK3eyRbxwRf+2Qz1M3Dgbtv6s6Xabex4MB/mXZiMw/t6090ZGcGdXEzdfOEmZCAycwlZBQy+WLAdFzrR4h321oj73ro6y917MP0hZENH6Tpg/brBVhRxrTHvdE4Xl9ORVlVNQ9/uJdJZdbcdF8w3r7NE7DuPX2BEzs6A3+htjvNgdQ8KqprsLZQN8v9hLgR3+8/S/WxeMac0f1f/DhsMk+OC8HV3vTLn1yv/zcqiFsODOR48k565J3lvoSNvPqzL+vnDkPdznv1hY4ETGasqkbDyexielhc7GHS+DHFW3qYYjJjABjsO4iO/lcJIDsGQ9ZR3CzOgP/1TXEurawmV62r5eTiaXf1+92A4e425P4ZiAO6PKYybSEHU/MZLJ9uhZkpqahm2e+JPHN0PSq0bPbtiyY0jKhB/qZu2g1xsbPiiTE9+Pe523lvx4eMObOPn48N5ccDAdzdv3UksYvmJUnfZux0TgmONXl0VArQaBVOaH3b/ZCcRqvRJ3wP8Bpw9YM9LgZJWUebuVU3ztnOkl6ePnXqMZ1m96kLJm6VEPV9suM03U4eIOxCMhUqC1aFTuClSaFYqFv/n5N7B/pT06MXW30jUKHl4SP/x9sbj1NcIWUGhARMZu14ZiHBKl3vUqrWgw7OLjjbte8lM07knbhy/aXLedYGTMeav2FGMKSr26XyAvan2HPqvIlbJISh7MJyPt+WxKyLFb3XdruZsIgghraRCQoWahUvTAzly9AJlKstCb9wmu6J+/nXVikzICRgMmvHMgoJUXQz5BK1fvSQ4ThiMnTDcX09+zZcf6kuz16656zWsdxBZFc3akq6AroepoOp+VJAT5iVdzedYETSLnyLc8i3sud/3W9hoZktrnujbu7ekbC+wfzYbQQAD8Vv4KvtJ6TMgJCAyZwdzygi5GJJgXhNgCR8cyl/6Yr1l+ryCtM9X0iCqrJmbJVxDAhwhfIuaLUKauscalT57EuRekzCPCRmFvHznhP8/WIZgf/0GMPfhgTR3bPt/V7654QQ1gbfwnkbZ7xK8xh3Ygdv/958s2RF6yABkxlLyCgkVDkDwDFtZ3q08/ylak21Pn9pkPega5/g4An2HUGrgWzzH5azt7agTycfNOU+AKjtTrFbhuWEmVjyWwJTT2zFubKEsw4d2dF9KE+M7m7qZjWLbh4O3DWsO1+FjgNgWuJmtsUkEXc237QNEyYlAZOZulBcQV5RCd0uriGXoPFv9z1M8RfiKakqwcnKiR4delz7BEW5NCyXeaR5G2ckQ7q6UV3SDQAL+1PskcRvYQZ2Jp3n6MEk7ji5A4Avet7GgzcH4eFk/uvFXa//NyqIfUGDOOXsg0N1OfcmbuL1n4+h1WpN3TRhIhIwmanjmUUEKWlYKTUUaO04b+FBgJu9qZtlUtEZ0YBuOE6tamR9otphuVYSMEV2daem9GIek/1Jjp7Lp6C0ysStEu2ZRqNl8a8JzEz4DWtNNUfcunAqqC8PD+9i6qY1qw72VswdFcynvSYBcFvybjLiT7DxaKaJWyZMRQImM5WQUUio6uJwnCaA7p5ObWLa7o3QB0zejchfquUVrntuJQFThL8LFpVd0GrUqCwL0FqeJzpZepmE6aw9eI6KhARGnj0AwGe9JvLkmGDsrdt+Gb/7hnQmNzicaM8QLLQaHjz6M29uPE5ltcbUTRMm0L7/Apux+PRCeiopQG3+UvsejiurLuNg9kEAIr2vUN27IfoepqOgqWmGlhmXjaWa/p09qSnrDICF/UmpxyRMpryqhnd+P85DRzegQstW3wjoEcpd/XxN3bQWYW2h5tlxPfis1yRqFBVDMuNxSjzCN3vPmLppwgQkYDJTh9LyCVMlA3BUE0CYb+ta0NLYDmYdpEpThZe9F52dOjf+RPcgsLSDqhK40DpqqQzp6k7NxTwmtd1JyWMSJvP5zmR8T8TR5/xJqlRqVoWMZ+H4kHbV231bmDcePbvza8BgAGYfWc8HfyaSX1pp4paJltZ+fupbkaLyKlJyivQz5I5oAwn3dTFto0xsT8YeQNe7pChNWNdJpb7Uy5QeZ/yGNYPIrm5UlwQBusTvxKx8cooqTNwq0d5cKK7g31tOMCv+ZwD+r8swgnoHMSK4o4lb1rIUReH520JZ3WMMJRY2BBWco++JGD7Y0jo+gAnjkYDJDB05V0BXJR07pYISrTVnVZ3a/Qy5vRl7ARjsPbjpJ3v30T1nxBmtPc0prJMzthp/tDU2KOpyVDbnpLyAaHHvb05iSNIeOhdlUWhpx/fBo1g4PqRpH1jaiH6dOzBsQBDfdR8JwP0Jv/LtXydIOV9i4paJliQBkxk6nFZAmHIa0OUvBXk5t+tV68+Xned47nGgkfWXLufTR/fcSnqYLNUqBnfpeKm8gEMS20/kmLhVoj05lVPMT7uSmJHwOwBretzKrQOD6NWp/aYGPDeuB792v5ksWxc6lhUw6cR23tp43NTNEi1IAiYzdCStoE7+kgzH7UnXDceFuIbgZuvW9AvU9jBlHgZN65jdMrx7R2ouDsup7U/wV9J5qf8iWsxbvx1ncuJWXCuKSLd348+goTw1NtjUzTIpP1c7ooYHsSp0AgB3JW1lz/4k9qXkmrhloqVIwGSGDqXlE67S9TAd1nShdztP+N6dvhuAoZ2GXt8F3LuDpT1UFsP5E0ZsWfO5uXtHqot1VZTVtmfJKSkgIaPIxK0S7UFMci6xsSeYenIbAF+GTuC+4UF0crE1bcPMwJwR3TjUfQCJLn7YVVfw9+O/8/ovCWg08mHGlBYtWoSiKAaPHj0aUdy4iSRgMjMXiivIzCui18WSAnHabu26h0mj1egDpiE+Q67vImqLS8Ny52KN07BmFuBuj59TJ2oqOqIoGizsT7IjSYblRPPSaLS88csxZiT8jk1NFcdcO3MsqD+Pjuhq6qaZBWc7S+aNDubTsL8BMC4lmrz442w4nG7ilomePXuSkZGhf+zcudPo95CAycwcOVdAsHIWa6WKAq0dmRbeBHk4mLpZJpOQm0BueS52Fnb06djn+i/Uqa/u+dx+o7SrJQzv7m4wLLc9UQIm0bw2HE6nID6BW1P3AfBpr0n8v9HdcbKxNHHLzEfUoM6UBvdip3cYarQ8FP8zSzcmUl5l/nXe2jILCwu8vLz0D3d3d6PfQwImM3M4rYAIlW666iFNV0J9OrSrmieX25mm+5Qw2Hswluob+KXdqb/uuZX0MAHc3N2D6mJd3oiFQyL7z1ygpKLaxK0SbVV5VQ1v/Xach+J/RoWWHT7hVAb35N5B/qZumlmxslDx3PgefNHzNqoUNQOyjuNx4hBf7koxddPataSkJHx8fOjSpQtRUVGkpqYa/R7t9y+xmTqclk9v5RQAcdquhLfz/KWd53QB0zDfYTd2oU79dM9Z8VBVdoOtahmRXd1Qyrui1VigsiygxiKTvaeliKVoHp/vTMbrxCH6ZZ+gSlGzqucEFo4PwbIdf2C7kjGhnviFdefnLro0gdlHN/DR5hNcKJZ6acZUVFREYWGh/lFR0fD3d9CgQaxatYqNGzfy0UcfkZyczE033URRkXHzPuV/ghnRarUcTM036GFqzwFTQUUBh88fBuCmTjfd2MWcfcHBEzTVraa8gIO1Bf38PfSL8VrYJ7I1MdvErRJt0fniCv69JYmH4jcAsL7LUDqHdWd0iIeJW2aeFEXhhdtCWBN8K0WWtgQWZjA4aQ/vb04yddPalNDQUJydnfWPJUuWNHjc+PHjueuuuwgPD2fs2LH8+uuv5Ofn8/333xu1PRIwmZHT50uoKblAN5UugfCAJoh+/q4mbpXp7Dy3E41WQzeXbnjZe93YxRQFfAfovj4bfeONayEjgi8Ny6kdjrMlIVvKCwije2/TCQYn7SGwMJMiS1u+6zGaF24LbZdFKhsr3NeFWwcF8d/g0QDcd/x3ftyVxMnsYhO3rO04duwYBQUF+sfChQsbdZ6Liwvdu3fn5EnjVmNv+8tNtyL7U3L1vUunNN5YOnbEz7X9TuXdkbYDgJt9bzbOBf0Hw/Gf4WyMca7XAkaHeLB0cw9gPWq7M6Sn5XIso5CePu2351EYV1JWEWt3J/HJcV2Ryg1BtzIxtAueNSpyUs2jlEVZVTWuNbrgLT+rFFtL8/jT9VCvTszZP5zs07vxKL3A3ce38uZvvnw2c4Cpm9YmODo64uTk1OTziouLOXXqFDNmzDBqe8zjp04AsC8lj/6qRABiNd0ZEOjabj/hVWuq9flLN/sZKWDyu1gl/Gw0aLW6Xicz183DAT9HX86Xe6K2ycLCIYnNCX0kYBJGs/jXBCYnbcetvJBcWze83Uei3VfA9/v2mbppBiZhDcBfXyeauCWG7sKOrIDJeBz7nMmntvPAgcHsHhbIkK7Gn6UlGvb0008zadIkOnfuTHp6Oi+//DJqtZrp06cb9T4SMJmRfSm53KnSjYHv13ZnQOcOJm6R6cRlx1FYWYiztTPh7uHGuah3b1BbQel5yD0NbuZfW0ZRFEaFeLD6RI+LAVMCmxOymDcqyNRNE23AzqTzHIlLYl7SVgC+7DmBnqN8+HtkgGkbdpmyqmoe/nAvk8qsuem+YLx9m97r0FxKKqr5x9fVPJYRQPe8FGYmbOSNX/zYMHcYKpX5fyhrC9LS0pg+fToXLlygY8eODBs2jL1799Kxo3EXipaAyUxkF5aTfqGQ3ta6GXKxmu7cF9B+85e2ntX9Ah/eaThqlZHW0bOwBp++cHYvpO5pFQETwKgennx9IATct2PhcJxDJ3LJLizHw8nG1E0TrViNRsvrvxzjwfhfsKmpIt41gEM9BvD+5BDsrc3rT0NpZTW5al3unounHR39zWcx8o7AjNuC+VfWJJbv+IDRqfv/f3t3HhdVuT9w/DM7IJvsqIC4IgKCoIi7Sa6llpmVqZndfpZWZnXTbjdb7s327WZW1rW6ZpotmrsmrkGKKCKiKIiCC6Ag+zrM8/tjlMI01IDDDM/79eI1MOfMzPfr4zBfznnO92F1Sn9+OODPXeHtlA6vRVi+fHmTvE6DT/pesGABvXr1wsHBAQ8PD8aNG0dqat1DqBUVFcycORNXV1fs7e0ZP348OTk5dfbJzMxk9OjR2NnZ4eHhwTPPPIPRaL09aPadukiIKh1bVRUXhCM5el+6eTefv6KakhCitmAa4jukYZ/c71K38FOxDfu8jai3vwt2pg6YjK1QaSrQ2GUQc1ReLSf9Ncv2nEJzOIkhpw9gQsWikHE8NaxrsyuWLME9vXwwBXRne9tQ1JeaWb618SjlVbKZpTVp8IJpx44dzJw5k19//ZUtW7ZQXV3NsGHDKC0trd3nySefZM2aNaxcuZIdO3Zw9uxZ7rzzztrtNTU1jB49mqqqKmJjY/nyyy/54osveOGFFxo63GYj/mQ+kWrzytd7TQH09HNB00IP56YVpJFVnIVeradfm5tcP+5a/C4936lfGvZ5G5Feq2ZgF0+MJd0A0Doc5ucjOfU8SpKuLa+kkrc2HGFG0ioANvn1RhfQjQkRPsoGZqG0GjXPjerGksBRVKs1hJ0/js/xAyzedULp0KQG1OAF08aNG3nggQfo3r07PXr04IsvviAzM5OEBHOH5cLCQj7//HPeeecdbrnlFsLDw1myZAmxsbH8+uuvAGzevJmUlBSWLl1KaGgoI0eO5JVXXmHhwoVUVVU1dMjNgrlgOgLAHlO3Fj1/aWvmVgAivSOx09k17JP7RoJKAxdPQuGZhn3uRjS0mwfG4kAAtA4p7DyeS4ns+i3dpDc3pdL3WCydCs9QorXhy8CRvDime4v9I60hDO7qTpceXVjVwdwz7qHDa/l02zFyiyoUjkxqKI3eh6mwsBAAFxfzfJyEhASqq6uJjo6u3ScgIABfX1/i4uIAiIuLIzg4GE9Pz9p9hg8fTlFREYcPH77q61RWVtbpCNrQHT4bU3FFNalnLxKuPgaYjzD18m+585cuF0y3+t3a8E9ucDBP/gaLOso0NMATdUUXRI0eta4QozaLrfIok3QTErMKWBebytSUDQAs7TacQb270KeDq8KRWTaVSsVzo7rxbdehFOrt8C3OZeDxWN7a3Lyu6pNuXqMWTCaTidmzZ9OvXz+CgoIAyM7ORq/X4+zsXGdfT09PsrOza/f5fbF0efvlbVezYMGCOh1BAwMDGzibxhOXnkcw6dirKrgo7Dmh9qNHO2elw1JEVnEWR/OPolFpGOLTwPOXLmt/aZmVjB2N8/yNwMlOR7+O3hhLAgDQOiSz4dDV3wuSdC0mk2D+6mTuO7IZp6pSTjl4EtN1AM+N6qZ0aFYhsI0jI/t05uuAYQBMObKRDbGpJJy6qHBkUkNo1IJp5syZJCcnN8kM9nnz5tXpCJqSktLor9lQdh4/T1+1+chZrCmQ8Pau2Oob6MowC/PzqZ8BiPCKwNnGuXFepMOlvk7p2839mCzEqCBvjMXmPzx0jslsS82Ri/FKN2RlQhYXU1K5PcN80cPHwWOZeWsAXk7yisuG8vTwrmzv0p8MR2+cqsqYdng9z69KxlhjUjo06S9qtIJp1qxZrF27lm3bttGu3W+XVnp5eVFVVUVBQUGd/XNycvDy8qrd58qr5i7/fHmfKxkMBhwdHWu/HByaz2Wn9dl1/AL9NckAxJqCGNC5YXtHWJKNJzcCMMxvWOO9iG+UuR9T0WlzPyYLcWugJ6KsG8KkQ63Po1qbJdeWk65bQVkVr284yqyDP6ARJmK9gygKDOPBfv5Kh2ZVPB1teHxYNxb2MF/INPLUHsThQ3wZd0rhyKS/qsELJiEEs2bN4scffyQmJgZ//7pvxvDwcHQ6HVu3bq29LzU1lczMTKKiogCIiori0KFD5Ob+9mGwZcsWHB0dLepU2/U4lVdKbl4+PVXm+Uu7TUEM7NIyO8RmFmWSkpeCWqUm2i+6/gfcLH0raNfb/P2JbY33Og2sdSs9fTv8dlpO55jE+kPnFI5KshRvbEol/MgvBOedoEKj45PgMbw4pjt6rVxStKE90K89xsAQNvual0iZlfg9721MIbtQTgC3ZA3+Tpk5cyZLly5l2bJlODg4kJ2dTXZ2NuXl5QA4OTkxffp05syZw7Zt20hISGDatGlERUXRp08fAIYNG0ZgYCCTJ0/m4MGDbNq0ieeff56ZM2diMBgaOmRF7Tp+gUj1EfSqGk4LN0rtfOjm1TL7L20+tRmA3l69cbFp5EnvHQabb9Mtp2ACGBXsjbHI3Plc65BEzFF5Wk6q396MfNbtTOGh5LUALA0YTlivbgzs0nKPZjcmnUbNv+4I4vPut1Gks6Nj0VluSd3FK+ssZ6qI9EcNXjAtWrSIwsJCBg8ejLe3d+3XihUravd59913ue222xg/fjwDBw7Ey8uLH374oXa7RqNh7dq1aDQaoqKiuP/++5kyZQovv/xyQ4eruF3HzzNYfRCAHTU96N/ZvUW20xdCsO7EOgBGtB/R+C/Yaaj59sR2MFpOq4phgZ6IsgDz1XL6Aqq0J9mYLCd/S9dWUV3DvB+SeCh5DY7VZaQ7tmFTwGCeH21dR+ubm17tXRjetytLuo8CzBPA9+w5QsxReXWrpWrwlq7iOibR2tjYsHDhQhYuXHjNffz8/Fi/fn1DhtbsGGtMxKblMe9SwbTd1IMRLXT+0rGLx0grSEOn1nFr+0ZoJ3Al71Bo5Q6l581LpfgPbPzXbACu9gYGdmpDXFEQOuf96JwO8OOBcMbLJRika/hoWxr2KYlEZyVgQsV/Qscze0Q3fFwauMeZ9AdzRwYw9HA/bs2MJzD/FLMSv+e57z3Z/JQLjjY6pcOTbpA8ea2gxKwCXKuyaK/OoUpoiDV1Z0Dnljl/ae0J86mCQe0G4ahvglOSajV0vHSU6fiWxn+9BnRnz3ZUF4UCoHNI4pf0bM4VlisblNQspWYX8/nWIzyW+D0Aa/2jsAkJYZqc6N0kXO0NPDe6O++HTqBarSEy5wjdUuJYsP6I0qFJN0EWTAradDiboer9AOwzdcXHy6NFLqhqNBlrT8fd1uG2pnvhzpeOZB3b1HSv2QBuDfTEztgVk9EBlbYMTatUVh04q3RYUjNjrDHx7PdJTEpeT9vSC1ywcWRp0CgW3BkiO3o3oQkR7fALD2JZV/PvmxlJq9iwM4XYtAsKRybdKFkwKUQIwcbD2QzTmJeM2WIK59ZAz3oeZZ1iz8Zyvvw8zgZnBrZrwlNjnaJBrYULqZCX3nSv+xfZ6DSMDmmHsTAMAK3zPn7Yf/q6TodLLccnO09gPJDA2PTdALwfNoHJQ7sT2KZlXlSiFJVKxat3BLOuezTpTm1wrC7jkaQfefaHJMqq5AUblkQWTAo5fLaIkvwcIlTmtvlbTBGMCLp6jylrtzptNQCjO4xGp2nC8/q2zr91/T66ruletwHcEdaW6oJwALT2qaTlnSPpdKHCUUnNRfKZQj7acIg5+79FjWCjX2/yukfw+NDOSofWIvm42PH0qO68GzaRGpWagWeT8Eney6vy1JxFkQWTQjYdzuYWdSIaleCIyRdVa18CvVveX3555XnEZMUAMK7TuKYPoOto8+3RtU3/2n9Br/YutGnVnppyH1QqEzqn/Szbk6l0WFIzUFFdw5MrEplyaB3eZXnk2jrzWfAY3prQAxtdy1xBoDmY3McPl9Agvu1sXvLp8cSVrNueLNeEtCCyYFLIhuRsRmn2ALDJFMGI7l6oVC1vXsFP6T9hNBkJcg0iwCWg6QMIuFQwZe2BIsuZB6RWq5gY4UP1RXMDTl3rvaw+mEVhWbXCkUlKe3tzKq2S9zMmw7y49Lthd/PArd0J92utcGQtm1qt4o27evBj8AiOO7XFqaqMp/Yv59mVieQWy4aWlkAWTApIyy0mNzebAeokANbURDEiyFvhqJqeSZj47th3ANzV5S5lgnBqCz7mhqmkrFYmhps0sbcPoiQUUWMwL5WiS+P7/aeVDktS0C9pF/ju5ySeSfgGMF8VVx0awRNDuygcmQTg79aKeWNCeCNiEhUaHeG5x+ifFMMzK5PkHEQLIAsmBWw4lM1wzT70qhqOmHwocehAmI+z0mE1udizsWQWZ2Kvs2ek/0jlAgkyr/lE8g9/vl8z4+Fgw/DuvlQX9gRA5xLL0j2n5C/eFiqnqILZ3yQwJ2E5LpXFZDh68WXoWN6dGCqXP2lG7u3tQ2BkMJ8GjQHgwZR1nIo/yBexJ5UNTKqXfBc1MSEE3+0/zRi1ebXwdTV9GBbo1SK7ey87sgwwz12y0ynYRC9wLKCC03shP0O5OG7C/ZF+VF80r8GotT9CxsXTxKbnKRyV1NSMNSYe++YAAxO3EJGbSoVGx2sR9zN7VDBdPC1nIfKWQKVS8dr4EBKCBxHn1R2dqYa5+77m7Z8S2Z95UenwpD8hC6Ymtjcjn6q8LPqpDwOwytSPcWFtFY6q6Z0sPMnuM+bLne8JuEfZYBy8fltbLulbRUO5UX06uNDBuQPGkk6oVAK9Sxyf7TqhdFhSE3tnyzEKEw7wQMoGAD4JHkvn3iE8KBtUNksurfS8PTGU98MmkGfjiF9xDjP3fcuj/0vgQkml0uFJ1yALpia2Yl8W4zS/oFYJ9pgCMLj509PXWemwmtxXKV8hEAxqNwg/Rz+lw4Ee95pvD34DFnRKS6VSMbmPH1UX+wGgc97DtuNZHDlXpHBkUlOJOZrDso2J/CP+K7TCxI62PTjUYzBv392jRR65thQDOrtzz7AQFvSajFGlZvCZRCITf2bWsv0Ya0xKhyddhSyYmlBxRTXrD51lgmY7AN/XDGBiL58Wd3VcXnlebe+lB7o/oGwwl3W7DfT2cDEDTv2idDQ3ZEJEOxxMQdRUeqDSVKJz3sOi7ZbTiFO6eanZxcxZuo/n936Je3khWfbuLAqfwIeTeuJsp1c6PKkezwzrimOvCBYH3Q7AQ8lrKN67jzc3pSocmXQ1smBqQmuTzhFWk0wHdTbFwpaNoi93hLW8RVO/SvmKKlMVQa5BhHuGKx2Omb4VBF+6Um/fEmVjuUF2ei0P9utIVd4AAPSuu1l76BSZeWUKRyY1pgsllUz/Yi9T4lfSPf8kJVobXoqcxhNjehLmK1sIWAKtRs1/7gsjPiyabe3C0AoTz8X/j+82HeC7BHnFa3MjC6YmIoRg2Z5MJmm2ArC6pi99AnxxdzAoHFnTKqgoYPnR5QA8HPJw8zq6Fj7NfJuyGkota52nKVF+GMojMFU7o9YWo3GK5+Od8iiTtaqoruH//pdAjwMxjDy1BxMqXu81iZ79Q5nWr73S4Uk3wM3ewEf3h7Mo/G4yHL1xqSzmpbjPeWn5XnYdP690eNLvyIKpicSdyOP8mRMMV8cDsKxmKBMifBSOqul9lfIVZcYyurbuymCfwUqHU1ebUGjTE0zVFneUydlOz32RHajKGwSA3nU73+47QcaFUmUDkxqcySR49vsk1HtimZG0CoAl3UdhjIjizbtCmtcfIdJ1CfNtzbw7e/JS5ANcNNjTsegsz+75kllfxcv5iM2ILJiayMc7TjBVuxmdqoZfTd0oaR3IkK7uSofVpC6UX2DpkaUAPBL6SPP8xd7nEfNt/GIwVikbyw2a3r8D6pJI81EmXREqp1je3HRU6bCkBiSE4MU1h0mNieW5S5O8f/YJJzZ8BJ9OCZdLn1iw+yJ9GTuyF/P7TK9tajltzwqm/XcvZwvKlQ5PQhZMTSLlbBH7j53ivkun4z43juRvAzug1bSsf/5PDn5CubGcYLdgbvG5Relwri5wHDh4Q0kOHLKsFgNeTjZM69uZyvNDATC4bmf94RMckL1drMYbm1LZvmkPL8d9jk1NNfGeASyOvJfPp/XGw8FG6fCkv2juiAC6DOzNgl6TqUHF8My9RO/9iUmf7SG7UC6forSW9YmtkE93pjNZ8zNOqjLSTd4k2kQyIbxlTfZOL0hn5bGVADwZ/mTzPLoEoNX/dpRp1ztgqlE2nhv0yOCOtKqONF8xpy3D4BbDq+uPyO7fVmDhtjS+Xx/Pv+IW41BdzpHWfrweOYX37+9Ftxa4cLc1UqtVvH13D0yR/VjU4w4AJqVuIfKX1dy3+Fdyi2TRpCRZMDWy4znFbE3KYLp2PQALjWOZ3K9jizp0LoTgjfg3qBE13OJzC728eikd0p+LeBBsW0N+OpoUy1ouxclWx2NDulKZY15UWOcSR8LZVFbKK24slhCCD7YeZ+kPv/DGro9wLy8k08GDl6Ie5PX7IxkS4KF0iFIDstFpWDwlgqO9b+W/gaMAmHpkIxGxP3HP4l/lQr0KkgVTI/v3+iM8oFqHm6qIkyZPNmsGMrlPM2jU2IQ2ndpE7NlY9Go9T0U8pXQ49TM4QNQsAHQ7X0OLUeGAbszkKD+89aEYiwNQqWoweK3mX+tSZAdhC2QyCV5ak8K3P+zmzV0f4VlewGl7d/7R92H+cV8Ut4W0UTpEqRG0bqXnm7/1IaHv7XzRzbzO5rSUDYT/soaJn/wqW4YoRBZMjWjHsfMkpabzsHYdAG8bJzBtQCdat2o5DeUKKwt5fe/rADwU/BC+jr4KR3Sd+jwCrTxQF5zkDt1WpaO5IQathlfGBlGRczvCpEXbKp0y/a+8sjZF6dCkG1BdY+KplQfZviGON3Z/hGtFEScdPPl7/0d4bGI/7m6BV9m2JB6ONnzzcB/29hvDl91GAPBgynqG7FjB+I92cTCrQNkAWyBZMDUSY42Jf69L4e/a5Tioykky+bPHbhAzBnVUOrQm9dre17hQfoEOTh14MPhBpcO5fvpWMHguAA/rV2KjsqxLe4cEeDC6WxBV528FwMZzLT8lH2Ft0lmFI5OuR35pFQ8s2cupjTG8tWshrStLSHNqy9wBj/LkxCim9m2vdIhSE/B0tOGbv/Xh175jak/PTTi+nQe3f8H9i3bzc0qOwhG2LLJgaiSf7DxBq9wD3KPdDsCL1VN5eng3Whm0ygbWhDZkbGDtibWoVWpe6fcKBo2FNensORWTRxBOqlKiHP6ndDQ3bP7t3TGUDaam3AeVpgKbNiuY+/1BTsreTM1a8plCbv9gF66bVvNy3Ge0MlZwyNWf5wc8wstT+jElqr3SIUpNyMvJhhX/F8WhgWN5s+e9tevOPb9jEXM+38kHW49jMsmLOpqCLJgaQfKZQhZuSeZN3ScAfFczkAqvCMa3oCvjThae5OW4lwFzR+8Q9xCFI7oJGi1Vw82nEwPtfsZwzrLWmHN3MPDi7SGUn70bYdKjbXWCKofNPPr1fiqqLevqv5ZACMEP+08z8cOdjNv5NY8cWoUGwWbfCF4Z9Cjv/20AY0PbKh2mpABPRxtWzoiieuhw/tn3b5RqbQjJO8H7295l7bc/M3XJXvLkHMVGJwumBlZRXcPsFYnMUS+nk/osucKZfxvv55VxQWhayMrhpdWlPLn9SUqqS+jp0ZP/C/k/pUO6aSafPqysMp/Wco19Bsotq6fRnT3bckdQKBXZYwHQu20ltXgvT317kBr5V2mzkV9axaxlB3jn8y28FvM+t2XEYULFZ91Hs2zQFL6a0Y/BXeXVcC2Zg42O/z7Qi47Dh/D0gJmcs3PFq+wib+1ciPOmVYx+fxe7j1vWkk6WRhZMDUgI85IFvhd28pB2AwDzqqczaXAo4X4tYzFMo8nI0zueJq0gDXdbd94a9BZatWWfhvyw6j4KjN5oy87C6llgQT2NVCoV/xoXRHvDIKouRqJSCWzbLGPDsQReXnNY9mdqBrak5DDsne3UrPmR/2x/l06FZyjU2/FSn2mcir6TNY8PkIvpSgDoNGremhDC3RMH8/gts9ntHYxO1PBo0ioe+vkTHlu4hWdWHqSgzLJWKbAUlv1J1sy8s+UYyQfj+VG/EIAlxuHkeA9h0dDOCkfWNEzCxAu/vMDuM7ux0djwwS0f4G5n+cu/lGPD5oKnmOAxD9XRtbDzTRj0d6XDum52ei2LJvXkjo9KMOovoG2Vjq3vEr7ap8feRsvTw7o230aiVuzE+RJeXX+Ew/tSeDxpFb1yzMvYHHDvzFs972H0kBD+eVsgeq38u1b6jUql4tHBnQj3bc1jy5xIPriVh5LX0O9cMiEX0lmcczvRR/vzz9sDuT2kDeoWcmajKciCqYF8FXeSFTHxfK9/A0dVOXtNXXlfPYXvJoa2iF94NaKG+bHzWXNiDRqVhjcHvUmQW5DSYTWY88aO5Pf+F66/Pgvb/g1OPhB6r9JhXbfOng58MjmSB76sQNXuYzQ22dj5LeajXwQXy6p5ZWzLOWWstIKyKj6MSWPZ7uOMOxrDY8di0JuMVKs0fBk4gm0h0bx8R4jssST9qcgOrqyfPZDZyx2Z7dqBJw58S+fCM8w58C0HTh/gnXNjWNytK3NHdKN/Zzelw7UKsmD6i4QQvL/1OF//vJev9a/ioz5PhsmTWcYneXdqbzp5OCgdYqOrVlfx2tH5xObtRKPSsGDAAgb7DFY6rAZX2nkirqosiPsQVs80L6MSNF7psK5bv05uvH1XFE98W42t32I0hlzs/D5h+cGp5BRW8PbdPXC2azk9wppabnEFn+/KYFnsCSLT4/kwdQveZfmA+ajSwpA76NY7iI13Bst14aTr4mZv4KsHe/N1kBfPu7djWEoM9x/ZRNj54yyMeYetaRHMPj6cgJBOzBjUkX6dXOXR5L9AFkx/QVmVkfmrDxO/P55v9W/gr87hnHBhcvU8Zo/rx5AWMEnTpLvIT92/5nxeFjq1jjcGvkG0X7TSYTWeW18xT/xO/Bq+fwjKC6DXdKWjum5jerShtLIv//hJhY3Pf9HYnMXO7xN2nL2T0R8U88G9oYT7uSgdplU5dLqQZXszWbXvFH1O7efdo1toW2qenJtn48inQWNI6dqLuaMCGd+zrfxAk26IWq1ich8/ort58M9V7jziHcy0lPUMOJvEsMx4Bp8+wIa0Pjx9cACtO/nzUH9/Rod4t6jluRqKLJhu0qHThTyx4gC+ebv5Ub+I1qoSskzu3Ff9HBOj+3NfpIV0tL5JQgg2ndxAZef3OK+pwFHrxAfR7xPuGa50aI1LrYYxH4JaC/u/hHVzIOcwjFgAWsvoM3Vvb1+cbXU8sUKP8P4arX0qtm2/Ja8gjbs+zeee8K78fXjXFtWRvqHlFlewMTmbFfFZnD1xmhEn9/DpyTjcKswNUAv1rVjZeQibO/XjvsFdWTikEw42OoWjliyZt5Mti6dEsCXCh9c3+vF9agrTD68jOO8EY0/s5rYTvxB3OIj/HhrAi207c1uPtozv2ZZwv9aySL9OsmC6QecKy3l78zE27T/G3zXLmaz/GYADpk48XP0Uj4/tZ/VrxWUUZvBG/BvsPrMbNOBR7MfrQ94i3DNA6dCahloNt79vnse07V+w73PIjIOxH0JbyygYRwZ742w3kEeX2VFavhG921Z0zvvR2B9n5dFRrE0KZ1rfDkzr5y8Lp+sghCD9fAnbU8+z6XA2h9JziMg+wrjTiURmp6AT5r5XFw32rOo4gLUd+zO0pz9rh3XBz7WVwtFL1kKlUjGsuxe3BHiwMqEDb23uTJsTydyZtoNeuan0P3uI/mcPcaaVG1sPhvPotnA0bdpwS4AHQ7t50Lejmzzy9CdkwXSdSiqNfLIjnS92HWOMKYYY/fe4qwoB89Vw76kns+C+CEYFeyscaePJKMxgSfISfkr/iRpRg06tQ5wbzNiMkXiM9FQ6vKalUsGgZ6BNKPw4A3JTYPFQ6DkFbn0ZbJ2VjrBeUR1d2fD4IB5f7kjCqU7YeH+H2nAB27YrqKnYyUfxt/DprmBGBbXlroh2RPq7yonhl1RU13A0u5hDZwrZdzKf2PQ8jOfP0zP3GLfkHGVuzhHsjL81Ejzs0p61/n3Z49ODsb3as25QR/zdZKEkNQ6tRs29vX0ZF9qW7/Z34b+7w/jsRDp3pO9k0OlE2pZeYMrRTUw5uonjTm3Z6xXIAq9AMl19CPFtTa/2LvTydyGojRPuDpZx5LwpNOuCaeHChbz55ptkZ2fTo0cP/vOf/9C7d29FYsnMK+PDbcf5XvciPXVpAKSbvPmncRolbfqx6p4wq/wFWFZdxvas7axOX03s2dja+we1G8TMHrOZ+toxNKIF/0XS+VaYuQc2PQdJKyDtZ/PpOQvh5WTDsoci+Wy3Bx/E+FJpvxO96zY0Nuewbfc1pmpn1mZF8GNyKE46bwZ1cSfS35VQH2e6eNqj1Vj3FaAllUZO5ZVy8kIZJ/NKOXG+lMNnCzmeU4x7SR7d8k8RkH+SF/My6FB0rs5js+1as6NtGNvbhVLt15G7I3x4rZcPXk5yQrfUNGz1Gib38WNSb19+PhLAF7Hd+fTYWaLOJDM0ax+h59PoXHiGzoVnmJS6hSKdHYdd/Tns6s/rrv5kOHrh4OxIN28Hunk70snDHp/Wdvi62uHlaNOs/oBqinqh2RZMK1asYM6cOXz88cdERkby3nvvMXz4cFJTU/HwaPrJ1IFtHLmrpw9rEqNop7rAh8ax/KS5lYeiA3h4YEeraR1gNBk5mn+UhJwE4s7FEX8uniqTuQmaChWDfAYxPWg6oR6hlFUZgWPKBtwctHKDOz+F8GlQXWpeuNeCaDVqZgzqyJgebXh1fVvWJvdG77IbXetfUesKMLj/jMH9Z6oqPdh4tgtrjoZiqmiHjU5NV08H2ru1ws/FDh8XO9zsDbja63Fppce1lQEbnbpZzI8w1pioqjFRUmmkuOLyV3XtbVG5kfMllZwvriS3uILcokpyiyspKa3AvbwAr7J8fIty8C3Opk9xDn5F2ThUl//hdY45t2O/R1f2eAWS5enPLYFevNizLQM6uzerDxepZVGrzafqhnX34kxBOasOhPD5/oHknc6mV85RIrNT6Jl7DMfqMqKyDxOVfRgAEyrO2rtxwtGbDKc2/GTvTnYrV7LtXKi0bUVbZ1t8XOwYG9qWuxRc+qup6gWVaKatfiMjI+nVqxcffvghACaTCR8fHx577DHmzp1b7+NPnz6Nj48PWVlZtGvXMAOZXVjBrW9tpsZo5I7enZkd3cXqDlfuy97HtE3T6tzn4+DDKP9RjOs0jnYOv/1bllZWM+QfW5haYsOts0No18G5iaNtfGVVRka9GGPVOV4pLbeExbtOsD45C1WrQ+icDqBplYZKZQKgImck1fmDruu5NGoVtjoNNjr1pVvz92qVCo1adcUttT+rVCqEEJgEmIS44nuoMYna702XtlXXmKgymgujSuOl7y/9fL3LwNhXlfFo0o94lF3Es+wiLhVFqLn6Y6tVGtKd23K0tR9HXPw46N4JW3c3+nZy5dZunvTp4IJBzgdpEL9/H97+dBi+nWTn879KCEFabglbj+YScySXAxnn6XDxNEF5GXTPy6DrxUxcKouv+fgSrQ3ZrVxZGjCMqMnjmB3dpcFiu9HP779aL1yvZnmEqaqqioSEBObNm1d7n1qtJjo6mri4uKs+prKyksrK3+YMFBdfe6BvlpeTDf8aH06gtyOdPa2zv1KwezButm4EuQYR4RVBvzb96Ojc8apHCcp/t4Dr/Z/tJVfbLGvvv8wDc+7WnOPVaaEoDGNRGKjL0LZKQ2N/jJqS65/cX2MSlFQasZR1QSs1eoacPlDnviq1lly71mTZe3DK0ZNMBy9OOnpx2t6dak3dK9sKiyr4Yf8Zfth/pinDbhEuvw8rjHLh6IagUqno7OlAZ08HZgzqSFFFNQmnLhKfkc/6jHzePFuEobiADkVn8S88R/uic7QpvYBXaT4ulcXYGyvoVHgGjTDh09quUWIsLi6mqKio9meDwYDBUPcgxc3UCzerWRZMFy5coKamBk/PuhOJPT09OXr06FUfs2DBAl566aVGj83aVws3aAzETIi5rtModnotpWrBL4ZqStXWW0i0hBzrZbLDWByCsThE6UgaVbVGy4chd1BosCfXrjW5tq0pMNibJ/lLirr8Ppzoaqt0KFbJ0UbHkK4etf0Da0yCU3mlHM0u5si5IpKyi1mbV0bWxTJqysrwLLuIV1k+qa19eNK1cQqmwMDAOj/Pnz+fF198sc59N1Mv3KxmWTDdjHnz5jFnzpzan8+cOfOHf2zp+lzvnBNbnYb4fw1v5Gik5ii/tIrDZws5lVdGVn4Zp/LKyCmu5GJpFfmlVRiv8xSYUvRaNQ4GLfY22tpb11Z63BwMuA8zn2q//NXO2VaeWmtGbOVYNAmNWkUHd3s6uNvXufpbCEFeaRWZ+eb3flZ+GZ3c7RslhpSUFNq2/e0gxZVHl5pasyyY3Nzc0Gg05OTk1Lk/JycHLy+vqz7mykN1vz+MJzUOlUqFnb5Z/heSGpmdXku7axyGF0JQVGEkv7SKsioj5VU1lFfX1N5WVpuoEaJ2HpLJJKgRXLr9bW6SSmWe06S+dKv63fdqFZd+vvy9eSV3g1aDXqvGoFVfcavBoFVjq9fgYKPFoJUfupJ0M1QqFW72BtzsDfT0bdy5ZA4ODjg6Ov7pPjdTL9ysZvlpp9frCQ8PZ+vWrYwbNw4wT+LaunUrs2bNUjY4SZL+lEqlwslWh5Ot7FwtSVLjasp6oVkWTABz5sxh6tSpRERE0Lt3b9577z1KS0uZNm1a/Q+WJEmSJKlFaKp6odkWTBMnTuT8+fO88MILZGdnExoaysaNG/8wsUuSJEmSpJarqeqFZtuH6a9qjD5MkiRJkiQ1rub6+W0d7aklSZIkSZIakSyYJEmSJEmS6iELJkmSJEmSpHrIgkmSJEmSJKkesmCSJEmSJEmqhyyYJEmSJEmS6iELJkmSJEmSpHrIgkmSJEmSJKkesmCSJEmSJEmqR7NdGuWvMplMAJw7d07hSCRJkiRJul6XP7cvf443F1ZbMOXk5ADQu3dvhSORJEmSJOlG5eTk4Ovrq3QYtax2LTmj0ciBAwfw9PRErVbuzGNxcTGBgYGkpKTg4OCgWByNxdrzA+vP0drzA+vP0drzA+vP0drzg+vP0WQykZOTQ1hYGFpt8zmuY7UFU3NRVFSEk5MThYWFODo6Kh1Og7P2/MD6c7T2/MD6c7T2/MD6c7T2/MDyc5STviVJkiRJkuohCyZJkiRJkqR6yIKpkRkMBubPn4/BYFA6lEZh7fmB9edo7fmB9edo7fmB9edo7fmB5eco5zBJkiRJkiTVQx5hkiRJkiRJqocsmCRJkiRJkuohCyZJkiRJkqR6yIJJkiRJkiSpHrJgugkLFiygV69eODg44OHhwbhx40hNTa2zT0VFBTNnzsTV1RV7e3vGjx9fu1zLZZmZmYwePRo7Ozs8PDx45plnMBqNTZnKVV1PfoMHD0alUtX5mjFjRp19mmt+AIsWLSIkJARHR0ccHR2Jiopiw4YNtdstefyg/vwsffyu9Nprr6FSqZg9e3btfZY+hle6Wo6WPo4vvvjiH+IPCAio3W7pY1hffpY+fpedOXOG+++/H1dXV2xtbQkODmbfvn2124UQvPDCC3h7e2Nra0t0dDTHjx+v8xz5+flMmjQJR0dHnJ2dmT59OiUlJU2dyp8T0g0bPny4WLJkiUhOThaJiYli1KhRwtfXV5SUlNTuM2PGDOHj4yO2bt0q9u3bJ/r06SP69u1bu91oNIqgoCARHR0tDhw4INavXy/c3NzEvHnzlEipjuvJb9CgQeJvf/ubOHfuXO1XYWFh7fbmnJ8QQvz0009i3bp14tixYyI1NVU899xzQqfTieTkZCGEZY+fEPXnZ+nj93t79+4V7du3FyEhIeKJJ56ovd/Sx/D3rpWjpY/j/PnzRffu3evEf/78+drtlj6G9eVn6eMnhBD5+fnCz89PPPDAA2LPnj3ixIkTYtOmTSItLa12n9dee004OTmJVatWiYMHD4oxY8YIf39/UV5eXrvPiBEjRI8ePcSvv/4qdu3aJTp16iTuvfdeJVK6JlkwNYDc3FwBiB07dgghhCgoKBA6nU6sXLmydp8jR44IQMTFxQkhhFi/fr1Qq9UiOzu7dp9FixYJR0dHUVlZ2bQJ1OPK/IQwv9F//4v7SpaU32WtW7cWn332mdWN32WX8xPCesavuLhYdO7cWWzZsqVOTtY0htfKUQjLH8f58+eLHj16XHWbNYzhn+UnhOWPnxBCPPvss6J///7X3G4ymYSXl5d48803a+8rKCgQBoNBfPPNN0IIIVJSUgQg4uPja/fZsGGDUKlU4syZM40X/A2Sp+QaQGFhIQAuLi4AJCQkUF1dTXR0dO0+AQEB+Pr6EhcXB0BcXBzBwcF4enrW7jN8+HCKioo4fPhwE0Zfvyvzu+zrr7/Gzc2NoKAg5s2bR1lZWe02S8qvpqaG5cuXU1paSlRUlNWN35X5XWYN4zdz5kxGjx5dZ6zAut6D18rxMksfx+PHj9OmTRs6dOjApEmTyMzMBKxnDK+V32WWPn4//fQTERERTJgwAQ8PD8LCwli8eHHt9oyMDLKzs+uMo5OTE5GRkXXG0dnZmYiIiNp9oqOjUavV7Nmzp+mSqUfzWQbYQplMJmbPnk2/fv0ICgoCIDs7G71ej7Ozc519PT09yc7Ort3n92+Cy9svb2surpYfwH333Yefnx9t2rQhKSmJZ599ltTUVH744QfAMvI7dOgQUVFRVFRUYG9vz48//khgYCCJiYlWMX7Xyg+sY/yWL1/O/v37iY+P/8M2a3kP/lmOYPnjGBkZyRdffEHXrl05d+4cL730EgMGDCA5OdkqxvDP8nNwcLD48QM4ceIEixYtYs6cOTz33HPEx8fz+OOPo9frmTp1am2cV8vj9+Po4eFRZ7tWq8XFxaXZ5AmyYPrLZs6cSXJyMrt371Y6lEZxrfwefvjh2u+Dg4Px9vZm6NChpKen07Fjx6YO86Z07dqVxMRECgsL+e6775g6dSo7duxQOqwGc638AgMDLX78srKyeOKJJ9iyZQs2NjZKh9MoridHSx/HkSNH1n4fEhJCZGQkfn5+fPvtt9ja2ioYWcP4s/ymT59u8eMH5j+qIyIiePXVVwEICwsjOTmZjz/+mKlTpyocXcOSp+T+glmzZrF27Vq2bdtGu3btau/38vKiqqqKgoKCOvvn5OTg5eVVu8+VV3tc/vnyPkq7Vn5XExkZCUBaWhpgGfnp9Xo6depEeHg4CxYsoEePHrz//vtWM37Xyu9qLG38EhISyM3NpWfPnmi1WrRaLTt27OCDDz5Aq9Xi6elp8WNYX441NTV/eIyljeOVnJ2d6dKlC2lpaVbzPvy93+d3NZY4ft7e3rVHri/r1q1b7anHy3FeLY/fj2Nubm6d7Uajkfz8/GaTJ8iC6aYIIZg1axY//vgjMTEx+Pv719keHh6OTqdj69attfelpqaSmZlZO4ckKiqKQ4cO1flPsmXLFhwdHf/wn6+p1Zff1SQmJgLmNw807/yuxWQyUVlZafHjdy2X87saSxu/oUOHcujQIRITE2u/IiIimDRpUu33lj6G9eWo0Wj+8BhLG8crlZSUkJ6ejre3t1W+D3+f39VY4vj169fvD21njh07hp+fHwD+/v54eXnVGceioiL27NlTZxwLCgpISEio3ScmJgaTyVRbRDYLSs86t0SPPPKIcHJyEtu3b69zOWhZWVntPjNmzBC+vr4iJiZG7Nu3T0RFRYmoqKja7ZcvFx02bJhITEwUGzduFO7u7s3ictH68ktLSxMvv/yy2Ldvn8jIyBCrV68WHTp0EAMHDqx9juacnxBCzJ07V+zYsUNkZGSIpKQkMXfuXKFSqcTmzZuFEJY9fkL8eX7WMH5Xc+UVR5Y+hlfz+xytYRyfeuopsX37dpGRkSF++eUXER0dLdzc3ERubq4QwvLH8M/ys4bxE8Lc8kKr1Yp///vf4vjx4+Lrr78WdnZ2YunSpbX7vPbaa8LZ2VmsXr1aJCUlibFjx161rUBYWJjYs2eP2L17t+jcubNsK2ANgKt+LVmypHaf8vJy8eijj4rWrVsLOzs7cccdd4hz587VeZ6TJ0+KkSNHCltbW+Hm5iaeeuopUV1d3cTZ/FF9+WVmZoqBAwcKFxcXYTAYRKdOncQzzzxTp3+IEM03PyGEePDBB4Wfn5/Q6/XC3d1dDB06tLZYEsKyx0+IP8/PGsbvaq4smCx9DK/m9zlawzhOnDhReHt7C71eL9q2bSsmTpxYp3+PpY/hn+VnDeN32Zo1a0RQUJAwGAwiICBAfPrpp3W2m0wm8c9//lN4enoKg8Eghg4dKlJTU+vsk5eXJ+69915hb28vHB0dxbRp00RxcXFTplEvlRBCKHNsS5IkSZIkyTLIOUySJEmSJEn1kAWTJEmSJElSPWTBJEmSJEmSVA9ZMEmSJEmSJNVDFkySJEmSJEn1kAWTJEmSJElSPWTBJEmSJEmSVA9ZMEmSJEmSJNVDFkySJEmSJEn1kAWTJEmSJElSPWTBJEmSJEmSVA9ZMEmSJEmSJNXj/wFk1vdBGnbOhgAAAABJRU5ErkJggg==", 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" ] @@ -120,7 +120,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -152,7 +152,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -184,7 +184,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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", 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", 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" ] diff --git a/examples/publication/simulation_experiment_comparison_demo.ipynb b/examples/publication/simulation_experiment_comparison_demo.ipynb index 5d25395b..bcba4537 100644 --- a/examples/publication/simulation_experiment_comparison_demo.ipynb +++ b/examples/publication/simulation_experiment_comparison_demo.ipynb @@ -7,45 +7,43 @@ "tags": [] }, "source": [ - "# Theoretical spectra integration \n", - "## Comparison of simulated and experimental spectra" + "# Compare simulated and experimental spectra" ] }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 6, "id": "5a07a056-112a-49a1-87d4-77a42605a1ac", "metadata": { "tags": [] }, "outputs": [], "source": [ - "from ramanchada2.theoretical_lines.model_from_lines import model_from_lines\n", - "from ramanchada2.io.simulated.read_simulated_lines import read_simulated_lines\n", - "from ramanchada2.io.simulated.crystal.discrete_lines_dat import lines_from_crystal_dat\n", - "from ramanchada2 import spectrum\n", - "\n", - "from lmfit import Model, Parameters\n", - "from lmfit.models import VoigtModel, GaussianModel\n", "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "import pandas as pd" + "import ramanchada2 as rc2\n", + "from ramanchada2.auxiliary.spectra.datasets2 import get_filenames, prepend_prefix" ] }, { "cell_type": "code", - "execution_count": 2, - "id": "274dd1c6-b3ee-4a6b-8e58-d739de50391f", - "metadata": { - "tags": [] - }, + "execution_count": 7, + "id": "a8ebe4ef-70b2-4471-a280-f2d78faf7313", + "metadata": {}, "outputs": [], "source": [ - "vasp_sim_fn = '../../tests/data/simulations/vasp/snCAL_vasp_raman_ALL.dat'\n", - "crystal_sim_raw_fn = '../../tests/data/simulations/crystal/calcite_CRYSTAL_PBE_raw_data.dat'\n", - "crystal_sim_convolved_fn = '../../tests/data/simulations/crystal/calcite_CRYSTAL_PBE_convoluted.dat'\n", - "\n", - "exp_spe_fn = '../../tests/data/experimental/Renishaw/nCal_Qontor785_z005H12_100_1x3s.spc'" + "exp_spe_fn = prepend_prefix(get_filenames(provider=['ICV'], laser_wl=['785'], sample=['nCAL'], OP=['050']))[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "b7c303ae-52cb-4b75-82d2-649d9687c2d0", + "metadata": {}, + "outputs": [], + "source": [ + "vasp_sim_fn = rc2.auxiliary.spectra.simulated.FILES['calcite_vasp']\n", + "crystal_sim_raw_fn = rc2.auxiliary.spectra.simulated.FILES['calcite_crystal_raw']\n", + "crystal_sim_convolved_fn = rc2.auxiliary.spectra.simulated.FILES['calcite_crystal_convolved']" ] }, { @@ -55,59 +53,20 @@ "tags": [] }, "source": [ - "## read _vasp_ simulation for CAL" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "d209404c-4fce-40cd-8a2f-686c2167b880", - "metadata": {}, - "outputs": [], - "source": [ - "def get_model_pars(filename, sim_type, *spe_type):\n", - " return model_from_lines(\n", - " *read_simulated_lines(\n", - " open(filename),\n", - " sim_type=sim_type,\n", - " use=spe_type\n", - " ),\n", - " #model='gaussian'\n", - " )\n", - "\n", - "\n", - "def get_spectrum(filename, sim_type, *spe_type):\n", - " mod, pars = get_model_pars(filename, sim_type, *spe_type)\n", - " return spectrum.from_theoretical_lines(mod, pars, x=2000)\n", - "\n" + "## read VASP simulation files for calcite and compare with experimental" ] }, { "cell_type": "code", - "execution_count": 4, - "id": "a9a9793a", + "execution_count": 9, + "id": "6528f3be-099a-4082-a7d0-60536765d2d9", "metadata": {}, "outputs": [ - { - "ename": "ValidationError", - "evalue": "2 validation errors for from_theoretical_lines\n0\n Input should be a valid list [type=list_type, input_value=(((((((((((((((((((((((((..., prefix='I_perp__30_')), input_type=CompositeModel]\n For further information visit https://errors.pydantic.dev/2.9/v/list_type\n1\n Input should be a valid list [type=list_type, input_value=Parameters([('pedestal', ...f:inf], expr='sigma'>)]), input_type=Parameters]\n For further information visit https://errors.pydantic.dev/2.9/v/list_type", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mValidationError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[4], line 5\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;66;03m#vasp_par['sigma'].set(value=3)\u001b[39;00m\n\u001b[0;32m 2\u001b[0m \u001b[38;5;66;03m#vasp_spe = spectrum.from_theoretical_lines(vasp_mod, vasp_par, x=2000)\u001b[39;00m\n\u001b[0;32m 3\u001b[0m \u001b[38;5;66;03m#vasp_spe.plot()\u001b[39;00m\n\u001b[0;32m 4\u001b[0m fig, ax \u001b[38;5;241m=\u001b[39m plt\u001b[38;5;241m.\u001b[39msubplots(\u001b[38;5;241m1\u001b[39m, figsize\u001b[38;5;241m=\u001b[39m(\u001b[38;5;241m12\u001b[39m, \u001b[38;5;241m5\u001b[39m))\n\u001b[1;32m----> 5\u001b[0m \u001b[43mget_spectrum\u001b[49m\u001b[43m(\u001b[49m\u001b[43mvasp_sim_fn\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mvasp\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mI_perp\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mI_par\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mplot(ax\u001b[38;5;241m=\u001b[39max, label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mI_perp+I_par\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 6\u001b[0m get_spectrum(vasp_sim_fn, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mvasp\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mI_par\u001b[39m\u001b[38;5;124m'\u001b[39m)\u001b[38;5;241m.\u001b[39mplot(ax\u001b[38;5;241m=\u001b[39max, label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mI_par\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 7\u001b[0m get_spectrum(vasp_sim_fn, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mvasp\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mI_perp\u001b[39m\u001b[38;5;124m'\u001b[39m)\u001b[38;5;241m.\u001b[39mplot(ax\u001b[38;5;241m=\u001b[39max, label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mI_perp\u001b[39m\u001b[38;5;124m'\u001b[39m)\n", - "Cell \u001b[1;32mIn[3], line 14\u001b[0m, in \u001b[0;36mget_spectrum\u001b[1;34m(filename, sim_type, *spe_type)\u001b[0m\n\u001b[0;32m 12\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_spectrum\u001b[39m(filename, sim_type, \u001b[38;5;241m*\u001b[39mspe_type):\n\u001b[0;32m 13\u001b[0m mod, pars \u001b[38;5;241m=\u001b[39m get_model_pars(filename, sim_type, \u001b[38;5;241m*\u001b[39mspe_type)\n\u001b[1;32m---> 14\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mspectrum\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_theoretical_lines\u001b[49m\u001b[43m(\u001b[49m\u001b[43mmod\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpars\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mx\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m2000\u001b[39;49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\misc\\spectrum_deco\\spectrum_constructor.py:15\u001b[0m, in \u001b[0;36madd_spectrum_constructor.__call__..retf\u001b[1;34m(cachefile_, *args, **kwargs)\u001b[0m\n\u001b[0;32m 13\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(fun)\n\u001b[0;32m 14\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mretf\u001b[39m(\u001b[38;5;241m*\u001b[39margs, cachefile_\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Spectrum:\n\u001b[1;32m---> 15\u001b[0m spe \u001b[38;5;241m=\u001b[39m \u001b[43mfun\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 16\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mset_proc:\n\u001b[0;32m 17\u001b[0m spe\u001b[38;5;241m.\u001b[39m_applied_processings\u001b[38;5;241m.\u001b[39massign(proc\u001b[38;5;241m=\u001b[39mfun\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m, args\u001b[38;5;241m=\u001b[39margs, kwargs\u001b[38;5;241m=\u001b[39mkwargs)\n", - "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\pydantic\\validate_call_decorator.py:60\u001b[0m, in \u001b[0;36mvalidate_call..validate..wrapper_function\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 58\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mwraps(function)\n\u001b[0;32m 59\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwrapper_function\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m---> 60\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mvalidate_call_wrapper\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\pydantic\\_internal\\_validate_call.py:96\u001b[0m, in \u001b[0;36mValidateCallWrapper.__call__\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 95\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs: Any, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: Any) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Any:\n\u001b[1;32m---> 96\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m__pydantic_validator__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalidate_python\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpydantic_core\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mArgsKwargs\u001b[49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 97\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__return_pydantic_validator__:\n\u001b[0;32m 98\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__return_pydantic_validator__(res)\n", - "\u001b[1;31mValidationError\u001b[0m: 2 validation errors for from_theoretical_lines\n0\n Input should be a valid list [type=list_type, input_value=(((((((((((((((((((((((((..., prefix='I_perp__30_')), input_type=CompositeModel]\n For further information visit https://errors.pydantic.dev/2.9/v/list_type\n1\n Input should be a valid list [type=list_type, input_value=Parameters([('pedestal', ...f:inf], expr='sigma'>)]), input_type=Parameters]\n For further information visit https://errors.pydantic.dev/2.9/v/list_type" - ] - }, { "data": { - "image/png": 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", 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", 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" ] }, "metadata": {}, @@ -115,384 +74,61 @@ } ], "source": [ - "#vasp_par['sigma'].set(value=3)\n", - "#vasp_spe = spectrum.from_theoretical_lines(vasp_mod, vasp_par, x=2000)\n", - "#vasp_spe.plot()\n", - "fig, ax = plt.subplots(1, figsize=(12, 5))\n", - "get_spectrum(vasp_sim_fn, 'vasp', 'I_perp', 'I_par').plot(ax=ax, label='I_perp+I_par')\n", - "get_spectrum(vasp_sim_fn, 'vasp', 'I_par').plot(ax=ax, label='I_par')\n", - "get_spectrum(vasp_sim_fn, 'vasp', 'I_perp').plot(ax=ax, label='I_perp')\n", - "get_spectrum(vasp_sim_fn, 'vasp', 'I_tot').plot(ax=ax, label='I_tot')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "83b8e5d5-d9af-4122-a9cf-4011eba97809", - "metadata": {}, - "outputs": [], - "source": [ - "read_simulated_lines(open(crystal_sim_raw_fn), 'crystal_dat')" - ] - }, - { - "cell_type": "markdown", - "id": "9a1e3554-073e-46ef-99bb-4fdea97f30e4", - "metadata": {}, - "source": [ - "## Compare a typical experimental spectrum with _vasp_ and _crystal_ simulations" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "fe6d9794-8491-41cf-918d-e75a4aaa52eb", - "metadata": {}, - "outputs": [], - "source": [ - "with open(crystal_sim_convolved_fn) as f:\n", - " crystal_convolved = lines_from_crystal_dat(f)\n", - " \n", - "fig, ax = plt.subplots(4, figsize=(7, 4), sharex=True)\n", - "ax[0].set_ylabel('Exp\\n[a.u.]')\n", - "ax[1].set_ylabel('I_tot\\n[a.u.]')\n", - "ax[2].set_ylabel('I_par\\n[a.u.]')\n", - "ax[3].set_ylabel('I_perp\\n[a.u.]')\n", - "ax[3].set_xlabel('Raman shift [$\\mathrm{cm}^{-1}$]')\n", - "\n", - "for i, k in enumerate([\n", - " 'I_tot',\n", - " 'I_par',\n", - " 'I_perp',\n", - " #'I_xx',\n", - " #'I_xy',\n", - " #'I_xz',\n", - " #'I_yy',\n", - " #'I_yz',\n", - " #'I_zz'\n", - "]):\n", - " get_spectrum(crystal_sim_raw_fn, 'crystal_dat', k).normalize().plot(ax=ax[i+1], fmt='r', label=f\"Crystal\")\n", - " ax[i+1].legend()\n", - "\n", - "exp_spe = spectrum.from_local_file(exp_spe_fn)\n", - "exp_spe.normalize().plot(ax=ax[0], label=\"nCAL; 785 nm\")\n", + "fig, ax = plt.subplots(nrows=5, sharex=True, figsize=(8, 8))\n", "\n", - "get_spectrum(vasp_sim_fn, 'vasp', 'I_tot').normalize().plot(ax=ax[1], fmt='g', label='Vasp')\n", - "get_spectrum(vasp_sim_fn, 'vasp', 'I_par').normalize().plot(ax=ax[2], fmt='g', label='Vasp')\n", - "get_spectrum(vasp_sim_fn, 'vasp', 'I_perp').normalize().plot(ax=ax[3], fmt='g', label='Vasp')\n", - "\n", - "#vasp_spe.plot(ax=ax[1], label='vasp')\n", - "ax[0].set_xlim(-100, 1800)\n", - "#ax.legend()\n", + "rc2.spectrum.from_local_file(exp_spe_fn).normalize().plot(ax=ax[0], label=\"Experimental nCAL; 785 nm\")\n", + "rc2.spectrum.from_simulation(vasp_sim_fn, 'vasp', 'I_perp').plot(ax=ax[2], label=r'Simulated VASP $I_{perp}$')\n", + "rc2.spectrum.from_simulation(vasp_sim_fn, 'vasp', 'I_tot').plot(ax=ax[1], label=r'Simulated VASP $I_{tot}$')\n", + "rc2.spectrum.from_simulation(vasp_sim_fn, 'vasp', 'I_par').plot(ax=ax[3], label=r'Simulated VASP $I_{par}$')\n", + "rc2.spectrum.from_simulation(vasp_sim_fn, 'vasp', {'I_par':.1, 'I_perp':.9}).plot(ax=ax[4], label=r'Simulated VASP $0.1*I_{par} + 0.9*I_{perp}$')\n", "for a in ax:\n", " a.legend(loc='upper right')\n", - " a.grid(color='y', linestyle=':', linewidth=.5)\n", - "None\n", - "fig.suptitle('CAL - Experiment vs Simulation')\n", - "fig.savefig('cal.pdf')\n" - ] - }, - { - "cell_type": "markdown", - "id": "b9c5998c-80d3-49f4-8f7d-3fcc4a9c1b2c", - "metadata": {}, - "source": [ - "## read _crystal_ simulation" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "77179473-42ad-478f-a2bc-fda4e8d1c527", - "metadata": {}, - "outputs": [], - "source": [ - "with open(crystal_sim_raw_fn) as f:\n", - " crystal_lines = lines_from_crystal_dat(f)" - ] - }, - { - "cell_type": "markdown", - "id": "8734c93c-503b-4912-b327-6f9c9f5ad845", - "metadata": {}, - "source": [ - "## build a model and find `sigma`, `x0` and `x1` parameters based on _I_perp_ and _I_par_" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "267ec522-278f-4c27-8b06-2787cd9d0673", - "metadata": {}, - "outputs": [], - "source": [ - "exp_spe_au = exp_spe.normalize()\n", - "mod, pars = get_model_pars(crystal_sim_raw_fn, 'crystal_dat', 'I_par', 'I_perp')\n", - "result_crystal = mod.fit(exp_spe_au.y, params=pars, x=exp_spe_au.x)\n", - "\n", - "mod, pars = get_model_pars(vasp_sim_fn, 'vasp', 'I_par', 'I_perp')\n", - "result_vasp = mod.fit(exp_spe_au.y, params=pars, x=exp_spe_au.x)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "218bfa85-8c37-4b66-884d-b590a91ff3a5", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots(1, figsize=(7, 4))\n", - "exp_spe.plot(ax=ax, label=\"Experimental\")\n", - "x = np.arange(-100, 2000)\n", - "pars['I_perp_amplitude'].set(value=10)\n", - "pars['I_par_amplitude'].set(value=10)\n", - "r = mod.eval(params=pars, x=x)\n", - "ax1 = ax.twinx()\n", - "ax1.plot(x, r, 'r')\n", - "ax.set_xlim(xmax=2000)\n", - "\n", - "result = mod.fit(exp_spe.y, params=pars, x=exp_spe.x)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4eb70b2a-b80a-45d8-9eea-9ab936fd1d7b", - "metadata": {}, - "outputs": [], - "source": [ - "def ratio_string(result):\n", - " ss = result.params['I_par_amplitude']+result.params['I_perp_amplitude']\n", - " return f\"I_par {result.params['I_par_amplitude'] / ss*100:.0f} %\\nI_perp {result.params['I_perp_amplitude']/ss*100:.0f} %\"\n", - "ratio_string(result_crystal), ratio_string(result_vasp)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b76c71a4-0963-4d69-b619-baa5196349a5", - "metadata": {}, - "outputs": [], - "source": [ - "x = np.arange(-100, 2000)\n", - "y_crystal = result_crystal.eval(x=x)\n", - "y_vasp = result_vasp.eval(x=x)\n", - "\n", - "fig, ax = plt.subplots(1, figsize=(5, 3), tight_layout=True)\n", - "ax.plot(exp_spe_au.x, exp_spe_au.y, label=\"Experimental\", lw=1)\n", - "ax.plot(x, y_vasp, '-.', label=ratio_string(result_vasp), lw=1)\n", - "ax.set_xlim(xmax=2000)\n", - "ax.legend(loc='upper left')\n", - "ax.set_xlabel('Raman shift [$\\mathrm{cm}^{-1}$]')\n", - "ax.set_ylabel('Intensity [a.u.]')\n", - "ax.set_title('nCAL, Best fit Vasp')\n", - "\n", - "fig.savefig('cal-fit-vasp.pdf')\n", - "\n", - "\n", - "fig, ax = plt.subplots(1, figsize=(5, 3), tight_layout=True)\n", - "ax.plot(exp_spe_au.x, exp_spe_au.y, label=\"Experimental\", lw=1)\n", - "ax.plot(x, y_crystal, '--', label=ratio_string(result_crystal), lw=1)\n", - "ax.set_xlim(xmax=2000)\n", - "ax.legend(loc='upper left')\n", - "\n", - "ax.set_title('nCAL, Best fit Crystal')\n", - "\n", - "ax.set_xlabel('Raman shift [$\\mathrm{cm}^{-1}$]')\n", - "ax.set_ylabel('Intensity [a.u.]')\n", - "\n", - "fig.savefig('cal-fit-crystal.pdf')\n", + " a.grid()\n", + "ax[4].set_xlabel(r'Raman shift [$\\mathrm{cm}^{-1}$]')\n", + "fig.suptitle('Calcite -- experimental vs VASP simulated')\n", + "fig.tight_layout()\n", "\n" ] }, { - "cell_type": "code", - "execution_count": null, - "id": "726cea4a-eb7b-4e90-b1cc-c68eb7c0b3e7", - "metadata": {}, - "outputs": [], - "source": [ - "spe_types = [\n", - " #'I_tot',\n", - " 'I_par',\n", - " 'I_perp',\n", - " #'I_xx',\n", - " #'I_xy',\n", - " #'I_xz',\n", - " #'I_yy',\n", - " #'I_yz',\n", - " #'I_zz'\n", - "]\n", - "\n", - "lm_model = VoigtModel\n", - "crystal_par_perp_model = np.sum([\n", - " lm_model(prefix=f\"{spe_t}_{li}_\", name=f\"{spe_t}_{li}\")\n", - " for spe_t in spe_types\n", - " for li in range(len(crystal_lines['Frequencies']))\n", - "])\n", - "\n", - "crystal_par_perp_params = Parameters()\n", - "crystal_par_perp_params.add('sigma', 2, min=0)\n", - "crystal_par_perp_params.add('x0', 0)\n", - "crystal_par_perp_params.add('x1', 1)\n", - "for spe_t in spe_types:\n", - " crystal_par_perp_params.add(f'{spe_t}_amplitude', 200, min=0)\n", - " crystal_par_perp_params.add(f'{spe_t}_pedestal', 0, min=0)\n", - " for i, pos, intens in zip(range(len(crystal_lines['Frequencies'])),\n", - " crystal_lines['Frequencies'].values,\n", - " crystal_lines[spe_t].values\n", - " ):\n", - " prefix = f\"{spe_t}_{i}_\"\n", - " crystal_par_perp_params.add(prefix+'amplitude', expr=f\"({intens}*{spe_t}_amplitude)+{spe_t}_pedestal\")\n", - " crystal_par_perp_params.add(prefix+'center', expr=f\"({pos}*x1)+x0\")\n", - " crystal_par_perp_params.add(prefix+'sigma', expr='sigma')\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "34f0fdc2-81fa-4687-ac03-f88912e4dba4", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots(1, figsize=(12,5))\n", - "ax.plot(exp_spe.x, exp_spe.y, label='spe nCAL')\n", - "\n", - "ax.plot(crystal_par_perp_model.eval(params=crystal_par_perp_params, x=np.arange(0, 2000)), label='CRYSTAL sim')\n", - "\n", - "ax.set_xlim(xmax=2000)\n", - "\n", - "ax.legend()\n", - "show_keys = ['x0', 'x1', 'I_perp_amplitude', 'I_par_amplitude', 'sigma']\n", - "{k: v for k, v in crystal_par_perp_params.items() if k in show_keys}" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9a74752d-431f-4fa1-9eb9-bebd17cf16e8", + "cell_type": "markdown", + "id": "9a1e3554-073e-46ef-99bb-4fdea97f30e4", "metadata": {}, - "outputs": [], "source": [ - "result = crystal_par_perp_model.fit(exp_spe.y, crystal_par_perp_params, x=exp_spe.x)\n", - "#result.values" + "## Compare crystal convolved and ramanchada2 convolved spectra" ] }, { "cell_type": "code", - "execution_count": null, - "id": "588cc3a6-601e-435a-bc06-89ee649c1da8", + "execution_count": 10, + "id": "cae789fe-29fd-467e-b066-85dc2f04b0a7", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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OO+00Ro4cyfr163n33XfrnSanttjY2FC/RJ/PR1ZWFt9++y0bN27cY9+9vdfqm0z6rrvu4r333uP000/nxhtvJDExkbfeeouNGzfy8ccfN3iViu+//55x48ZxwQUX0KlTJ/x+P++88w5Go5HzzjuvQY8lRNjQaTSuEC3CmjVrtCuvvFLLycnRLBaLFhMTow0cOFB79tlnNbfbHdpv1qxZ2pFHHqnZbDYtJydHe+yxx0JTmdSeJmL3aSg0LTjtxP/93/9pbdu21cxms5aenq6df/752vr160P7sNt0J5qmaQ8++KCWlZWlGQyGPc7z8ccfa4MGDdKio6O16OhorUuXLtr111+vrV69ujFfnr3avHmzNnr0aC0lJUWzWq1au3bttOuvvz40tcXO6U7qmxJlJ4/HoyUkJGhxcXGay+Wqc19RUZF2/fXXa126dNGio6O1uLg4rX///toHH3xQZ7+8vDztzDPP1GJiYjQg9Nq73W7t1ltv1TIyMjS73a4NHDhQW7hw4QFNE1Kfhx56SOvXr58WHx+v2e12rUuXLtrDDz+seb3e0D57m+7k+uuvr7Nt5zl3n8pl5xQhu0/98eSTT2pZWVma1WrVBg4cqC1atOiAnse2bdu0c845R4uPj9fi4uK0Cy64QMvNzW3Qe62+6VbWr1+vnX/++Vp8fLxms9m0fv36aV9++eUBPZfdc27YsEG7/PLLtfbt22s2m01LTEzUTjzxRO27777ThIhUiqYd4LUNIYQII36/n8zMTIYNG7ZHXzghhIhU0sdOCBGRPvvsMwoLCxk9erTeUYQQ4rCRFjshRET5/fffWbp0KQ8++CDJyckHPVmuEEKEI2mxE0JElBdffJFrr72W1NRU3n77bb3jCCHEYSUtdkIIIYQQEUJa7IQQQgghIoQUdkIIIYQQESIsJihWVZXc3FxiYmIatDyNEEIIIUS40zSNyspKMjMz9ztRd1gUdrm5uWRnZ+sdQwghhBBCN1u3bqVVq1b73CcsCruYmBgg+IRiY2N1TiOEEEIIcfhUVFSQnZ0dqof2JSwKu52XX2NjY6WwE0IIIUSLdCDd0WTwhBBCCCFEhJDCTgghhBAiQkhhJ4QQQggRIcKij92BUFUVr9erdwwh9spsNmM0GvWOIYQQIoJFRGHn9XrZuHEjqqrqHUWIfYqPjyc9PV3mYxRCCNEkwr6w0zSNHTt2YDQayc7O3u/EfULoQdM0nE4nBQUFAGRkZOicSAghRCQK+8LO7/fjdDrJzMwkKipK7zhC7JXdbgegoKCA1NRUuSwrhBCi0YV981YgEADAYrHonESI/dv55cPn8+mcRAghRCQK+8JuJ+mzJMKBvE+FEEI0pYgp7A6V0+sn566vyLnrK5xev95xhBBCCCEarMGF3U8//cSwYcPIzMxEURQ+++yz/R4zf/58jjrqKKxWKx06dODNN988iKhCLzk5OUydOrVBx1x22WWMGDHigPefP38+iqJQVlbWoPMIIYQQYpcGF3bV1dX07NmT559//oD237hxI2eeeSYnnngiS5Ys4eabb2bs2LF88803DQ4rDs2BFuLNwZtvvkl8fLzeMYQQQoiw0uBRsaeffjqnn376Ae//0ksv0bZtW5588kkAunbtyi+//MJTTz3F0KFDG3r6Fsvn82E2m/WOIYQQQohmrMn72C1cuJAhQ4bU2TZ06FAWLlzY1Kdu1lRV5fHHH6dDhw5YrVZat27Nww8/DMCmTZtQFIWZM2dy/PHHY7PZeOWVV4iNjeWjjz6q8zifffYZ0dHRVFZW4vV6GTduHBkZGdhsNtq0acPkyZOB4OVUgHPOOQdFUUK3169fz/Dhw0lLS8PhcNC3b1++++67Bj2XQCDA+PHjiY+PJykpiTvuuANN0/Z4vpMnT6Zt27bY7XZ69uy5x3PZaf78+YwZM4by8nIURUFRFCZNmgTAO++8w9FHH01MTAzp6en85z//Cc0NB1BaWsqoUaNISUnBbrfTsWNHpk2b1qDnIw5S8Xr4620ISB9V0Txpmsbk+Z/wyb8/6h1FiCbT5PPY5eXlkZaWVmdbWloaFRUVuFyu0NxetXk8HjweT+h2RUXFAZ9P0zRcvsA+96lvcITLu+uY4ioPTsue+0RZ9v1y2c3GAx71OGHCBF599VWeeuopBg0axI4dO1i1alWdfe666y6efPJJevfujc1m459//mHatGmcf/75oX123o6JieGJJ55g1qxZfPDBB7Ru3ZqtW7eydetWAP78809SU1OZNm0ap512WmgOtaqqKs444wwefvhhrFYrb7/9NsOGDWP16tW0bt36gJ7Lk08+yZtvvskbb7xB165defLJJ/n000856aSTQvtMnjyZd999l5deeomOHTvy008/cckll5CSksLxxx9f5/EGDBjA1KlTuffee1m9ejUADocDCLZcPvjgg3Tu3JmCggLGjx/PZZddxuzZswGYOHEi//77L19//TXJycmsW7cOl8t1QM9DHKJnjwr+1+eC/lfrm0WIenz09ypmbL4PNsM5XZfKKHURkZrlBMWTJ0/m/vvvP6hjXb4A3e49tP57gx+ff1DH/fvA0P0WfwCVlZU8/fTTPPfcc1x66aUAtG/fnkGDBtXZ7+abb+bcc88N3R47diwDBgxgx44dZGRkUFBQwOzZs0MtbFu2bKFjx44MGjQIRVFo06ZN6NiUlBRg15JWO/Xs2ZOePXuGbj/44IN8+umnzJo1i3Hjxh3Q8546dSoTJkwIZX3ppZfq9KH0eDw88sgjfPfddxx77LEAtGvXjl9++YWXX355j8LOYrEQFxeHoih1sgJcfvnlod/btWvHM888Q9++famqqsLhcLBlyxZ69+7N0UcfDexqqRSH0ZaFUtiJZmn5jlK9IwjR5Jr8Umx6ejr5+fl1tuXn5xMbG1tvax0EW7PKy8tDPztbnSLFypUr8Xg8nHzyyfvcb2dxslO/fv3o3r07b731FgDvvvsubdq04bjjjgOCI1GXLFlC586dufHGG/n222/3m6WqqorbbruNrl27Eh8fj8PhYOXKlWzZsuWAnkt5eTk7duygf//+oW0mk6lO9nXr1uF0OjnllFNwOByhn7fffpv169cf0Hl2Wrx4McOGDaN169bExMSEisKdea+99lref/99evXqxR133MGCBQsa9PhCiMgVZUykcuWjVK58VFrrRMRq8ha7Y489NnSZbKe5c+eGWm7qY7VasVqtB3U+u9nIvw/se1DG3i7F7myp+/mOE7Bb9lzu6UAuxR5Qxr0UtLuLjo7eY9vYsWN5/vnnueuuu5g2bRpjxowJfUAdddRRbNy4ka+//prvvvuOkSNHMmTIkL32ZQO47bbbmDt3Lk888QQdOnTAbrdz/vnn4/V6DyjjgaiqqgLgq6++Iisrq859Dfl3rq6uZujQoQwdOpTp06eTkpLCli1bGDp0aCjv6aefzubNm5k9ezZz587l5JNP5vrrr+eJJ55otOcjhBBCNFcNLuyqqqpYt25d6PbGjRtZsmQJiYmJtG7dmgkTJrB9+3befvttAK655hqee+457rjjDi6//HK+//57PvjgA7766qvGexa1KIqy3wKsvvtrF3tJDusBXVI9WB07dsRutzNv3jzGjh3boGMvueQS7rjjDp555hn+/fff0KXcnWJjY7nwwgu58MILOf/88znttNMoKSkhMTERs9kcWoJtp19//ZXLLruMc845Bwj++27atOmA88TFxZGRkcHvv/8eajn0+/0sXryYo44K9rnq1q0bVquVLVu27HHZdW8sFsseWVetWkVxcTGPPvoo2dnZACxatGiPY1NSUrj00ku59NJLGTx4MLfffrsUdkIINE3FGLUOFBWfeipmg8w0ICJPg6uXRYsWceKJJ4Zujx8/HoBLL72UN998kx07dtS5jNe2bVu++uorbrnlFp5++mlatWrFa6+91qKnOrHZbNx5553ccccdWCwWBg4cSGFhIStWrOCKK67Y57EJCQmce+653H777Zx66qm0atUqdN+UKVPIyMigd+/eGAwGPvzwQ9LT00PzweXk5DBv3jwGDhyI1WolISGBjh078sknnzBs2DAURWHixImoqtqg53PTTTfx6KOP0rFjR7p06cKUKVPqTDQcExPDbbfdxi233IKqqgwaNIjy8nJ+/fVXYmNj9yhOd2atqqpi3rx59OzZk6ioKFq3bo3FYuHZZ5/lmmuuYfny5Tz44IN1jrv33nvp06cP3bt3x+Px8OWXX9K1a9cGPR9xqOQSl2ieqtUiotq8BoDTdzlx1jidEwnR+Bpc2J1wwgl7TGVRW32rSpxwwgn8/fffDT1VRJs4cSImk4l7772X3NxcMjIyuOaaaw7o2CuuuIIZM2bUGUgAwQLq8ccfZ+3atRiNRvr27cvs2bMxGIJdKZ988knGjx/Pq6++SlZWFps2bWLKlClcfvnlDBgwgOTkZO68884GjUIGuPXWW9mxYweXXnopBoOByy+/nHPOOYfy8vLQPg8++CApKSlMnjyZDRs2EB8fz1FHHcXdd99d72MOGDCAa665hgsvvJDi4mLuu+8+Jk2axJtvvsndd9/NM888w1FHHcUTTzzB2WefHTrOYrEwYcIENm3ahN1uZ/Dgwbz//vsNej5CiMjk1zz730mIMKdo+6rSmomKigri4uIoLy8nNja2zn1ut5uNGzfStm1bbDbbQZ/D6fWHRtMe6OhWvbzzzjvccsst5ObmYrFY9I4jGqCx3q/N0qSa1o/u58IFMnegaH4enL2Yt/75EjQj6+6+R+84QhywfdVBu2u+1YvYg9PpZMeOHTz66KNcffXVUtQJIUQDWAzR+MuP3v+OQoSxJp/uJFxEWUxsevRMNj16ZrNtrXv88cfp0qUL6enpTJgwQe84+tI08DfeyF3RiGQaCSGE0I0UdmFk0qRJ+Hw+5s2bF1qJocUqXg8FK8DdsP6AQoiWy6e6iO4wmeiOD5NXnad3HCGahBR2Ijx5K4P/rS7SN4cQImyU+jdjMJdjMFXi8stSgyIySWEnwlyzH/sjhGgmDMquSeRT7Ck6JhGi6TTPzmRCCCFEI0s2d6Ry5aMAOCwtvDuLiFjSYieEEEIIESGkxU4I0chkVKxovgy2bSiKH6fPSZQ5Su84QjQ6abHbyVsdnGB1UlzwdyGEEBGl1LeJ6LbPEZXzEhsrNuodR4gmIYWd2K+cnBymTp2qd4xDpigKn332WZOe48033wytzSuEaF5camnod7PBrGMSIZqOFHYtyOEobIQQormKNbXCnXc2ru0X0ymhk95xhGgS0scuTPh8Psxm+YYpwoCsPCGaKYcxBV/pAL1jCNGkpMVOJ6qq8vjjj9OhQwesViutW7fm4YcfBmDTpk0oisLMmTM5/vjjsdlsvPLKK8TGxvLRRx/VeZzPPvuM6OhoKisr8Xq9jBs3joyMDGw2G23atGHy5MlA8HIqwDnnnIOiKKHb69evZ/jw4aSlpeFwOOjbty/fffddg5/PG2+8Qffu3bFarWRkZDBu3LjQfVu2bGH48OE4HA5iY2MZOXIk+fn5ofsnTZpEr169eOedd8jJySEuLo6LLrqIysrgJMSvvPIKmZmZqKpa55zDx9zC5TfeFbr94osv0r59eywWC507d+add97Za94BAwZw55131tlWWFiI2Wzmp59+AsDj8XDbbbeRlZVFdHQ0/fv3Z/78+XWOefPNN2ndujVRUVGcc845FBcXN+yFE0IIIRpR5BV2mhYc/LCvn6rCen5qrWBQVVT/Pvt7XO3AJ8udMGECjz76KBMnTuTff/9lxowZpKWl1dnnrrvu4qabbmLlypWce+65XHTRRUybNq3OPtOmTeP8888nJiaGZ555hlmzZvHBBx+wevVqpk+fHirg/vzzz9D+O3bsCN2uqqrijDPOYN68efz999+cdtppDBs2jC1bthzwc3nxxRe5/vrrueqqq1i2bBmzZs2iQ4cOQLCAHT58OCUlJfz444/MnTuXDRs2cOGFF9Z5jPXr1/PZZ5/x5Zdf8uWXX/Ljjz/y6KPB+aYuuOACiouL+eGHH0L7l5SWM2f+AkadfzYAn376KTfddBO33nory5cv5+qrr2bMmDF1jqlt1KhRvP/++2i1/s1mzpxJZmYmgwcPBmDcuHEsXLiQ999/n6VLl3LBBRdw2mmnsXbtWgB+//13rrjiCsaNG8eSJUs48cQTeeihhw74dRNCHF4+1YW99ctEtX2aDeUb9I4jRJOIvEuxPic8knloj/HMkQd33N25YIne726VlZU8/fTTPPfcc1x66aUAtG/fnkGDBtXZ7+abb+bcc88N3R47diwDBgxgx44dZGRkUFBQwOzZs0MtbFu2bKFjx44MGjQIRVFo06ZN6NiUlOAs6/Hx8aSnp4e29+zZk549e4ZuP/jgg3z66afMmjWrTqvbvjz00EPceuut3HTTTaFtffv2BWDevHksW7aMjRs3kp2dDcDbb79N9+7d+fPPP0P7qarKm2++SUxMDAD//e9/mTdvHg8//DAJCQmcfvrpzJgxg5NPPhmAj776juTEeE4cdAwATzzxBJdddhnXXXcdAOPHj+e3337jiSee4MQTT9wj88iRI7n55pv55ZdfQoXcjBkzuPjii1EUhS1btjBt2jS2bNlCZmbw/XTbbbcxZ84cpk2bxiOPPMLTTz/Naaedxh133AFAp06dWLBgAXPmzDmg100IcXjleZdjig6Ohq3wyDrTIjJFXotdGFi5ciUejydUpOzN0UcfXed2v3796N69O2+99RYA7777Lm3atOG4444D4LLLLmPJkiV07tyZG2+8kW+//Xa/Waqqqrjtttvo2rUr8fHxOBwOVq5cecAtdgUFBeTm5u71uaxcuZLs7OxQUQfQrVs34uPjWblyZWhbTk5OqKgDQoXrTqNGjeLjjz/G4/EAMP3Tr7no7KEYDIbQeQYOHFjn3AMHDqxzjtpSUlI49dRTmT59OgAbN25k4cKFjBo1CoBly5YRCATo1KkTDocj9PPjjz+yfv360Dn79+9f53GPPfbYfbxaQgg91V5SLDsmex97ChG+Iq/FzhwVbDnbF6+z/m07W+puXAqWeiaurG/b7uc+AHa7/YD2i47es/Vv7NixPP/889x1111MmzaNMWPGoNR0Vj/qqKPYuHEjX3/9Nd999x0jR45kyJAhe/TLq+22225j7ty5PPHEE3To0AG73c7555+P1+tt1OeyP7sPDFEUpU6fumHDhqFpGl999RV9+/bl59//5qlJtx7SOUeNGsWNN97Is88+y4wZM+jRowc9evQAggWv0Whk8eLFGI3GOsc5HLIUkRDhKMt6VGhJsSR7ks5phGgakddipyjBy6H7+nGk1POTvOsxHMn177O/xz3A0YAdO3bEbrczb968Bj+9Sy65hM2bN/PMM8/w77//hi7l7hQbG8uFF17Iq6++ysyZM/n4448pKSkBgsVTIBCos/+vv/7KZZddxjnnnEOPHj1IT09n06ZNB5wnJiaGnJycvT6Xrl27snXrVrZu3Rra9u+//1JWVka3bt0O+Dw2m41zzz2X6dOn895779G5fRuO6tG1znl+/fXXPZ7bvs4xfPhw3G43c+bMYcaMGaHWOoDevXsTCAQoKCigQ4cOdX52Xsru2rUrv//+e53H/O233w74OUUuGRUrhBB6ibwWuzBgs9m48847ueOOO7BYLAwcOJDCwkJWrFjBFVdcsc9jExISOPfcc7n99ts59dRTadWqVei+KVOmkJGRQe/evTEYDHz44Yekp6eHJszdWYANHDgQq9VKQkICHTt25JNPPmHYsGEoisLEiRP3GH26P5MmTeKaa64hNTWV008/ncrKSn799VduuOEGhgwZQo8ePRg1ahRTp07F7/dz3XXXcfzxx+9xqXl/Ro0axVlnncWKFSu45Jwz6tx3++23M3LkSHr37s2QIUP44osv+OSTT/Y5wjc6OpoRI0YwceJEVq5cycUXXxy6r1OnTowaNYrRo0fz5JNP0rt3bwoLC5k3bx5HHnkkZ555JjfeeCMDBw7kiSeeYPjw4XzzzTfSv06IZs5gKQBZUkxEsMhrsQsTEydO5NZbb+Xee++la9euXHjhhXX6lO3LFVdcgdfr5fLLL6+zPSYmhscff5yjjz6avn37smnTJmbPnh3qh/bkk08yd+5csrOz6d27NxAsBhMSEhgwYADDhg1j6NChHHXUUQ16LpdeeilTp07lhRdeoHv37px11lmhkaOKovD555+TkJDAcccdx5AhQ2jXrh0zZ85s0DkATjrpJBITE1m9ejX/Oee0OveNGDGCp59+mieeeILu3bvz8ssvM23aNE444YR9PuaoUaP4559/GDx4MK1bt65z37Rp0xg9ejS33nornTt3ZsSIEfz555+h/Y455hheffVVnn76aXr27Mm3337LPffc0+DnJYQ4PIp864huP4Xods+woniF3nGEaBKKpjVgjg6dVFRUEBcXR3l5ObGxsXXuc7vdbNy4kbZt22Kz2Q7+JN7qXaNpD3B0q17eeecdbrnlFnJzc7FYLHrH0Ufu38H/WmMhqb2+WRqg0d6vzdGkuOB/e4yE817VN4sQ9bjus2n8XD4FgHdOf4deqb30DSTEAdpXHbQ7uRQbRpxOJzt27ODRRx/l6quvbrlFXR3N/nuJEKKZiDe1xlNwGqovXoo6EbHkUuxOlmiYVB78aaatdY8//jhdunQhPT2dCRMm6B1HCCHCSpwpC2/xCfgreukdRYgmI4VdGJk0aRI+n4958+bJlBui+ZK1YoUQQjdyKVYIIUSL4Nc82DLfRzFVsrqkA50TO+sdSYhGJ4WdEKKRSYudaJ62uv/AHLcEgGJXsb5hhGgicilWCCFEi9M2rq3eEYRoEtJiJ4QQokVoax/MnN+D01plODJ0TiNE05AWOyGEEEKICCGFXQ2nz0mPt3rQ460eOH1OveMIIYRoAoqpDMVcJJ/zImJJYSearTfffDO0zm1TOuGEE7j55pub/Dwthkx3IpqpQu9qHB0fxdHhCf7M+1PvOEI0CSnsdHLZZZehKAqKomA2m2nbti133HEHbre7zn7r1q1jzJgxtGrVCqvVStu2bbn44otZtGgRAJs2beKKK66gbdu22O122rdvz3333YfX69XjaR1+svCEEOIAlQe2h343Gow6JhGi6cjgCR2ddtppTJs2DZ/Px+LFi7n00ktRFIXHHnsMgEWLFnHyySdzxBFH8PLLL9OlSxcqKyv5/PPPufXWW/nxxx9ZtWoVqqry8ssv06FDB5YvX86VV15JdXU1TzzxhM7PUAghmo9EU1s8hSejepMZlDVI7zhCNAlpsdOR1WolPT2d7OxsRowYwZAhQ5g7dy4AmqZx2WWX0bFjR37++WfOPPNM2rdvT69evbjvvvv4/PPPgV3F4amnnkq7du04++yzue222/jkk0/2ee6ysjKuvvpq0tLSsNlsHHHEEXz55Zeh+z/++GO6d++O1WolJyeHJ598ss7xOTk5PPLII1x++eXExMTQunVrXnnlldD9AwYM4M4776xzTGFhIWazmZ9++gmA0tJSRo8eTUJCAlFRUZx++umsXbu23rxr1qxBURRWrVpVZ/tTL02jffv2odvLly/n9NNPx+FwkJaWxn//+1+KiopC91dXVzN69GgcDgcZGRl7PC8hRORKNLfFW3QK/oreekcRoslEbGHn9Dlx+pxo2q5rdb6AD6fPSZm7LHS/0+ek2FVMibsktJ/L76LCU0Gxq5hSd2lov9qPq2rqrsdVfYecd/ny5SxYsACLxQLAkiVLWLFiBbfeeisGw57/TPvqe1ZeXk5iYuJe71dVldNPP51ff/2Vd999l3///ZdHH30UozF4aWLx4sWMHDmSiy66iGXLljFp0iQmTpzIm2++WedxnnzySY4++mj+/vtvrrvuOq699lpWr14NwKhRo3j//ffrvP4zZ84kMzOTwYMHA8HL0YsWLWLWrFksXLgQTdM444wz8Pn2fD07derE0UcfzfTp0+tsn/7RLP7zn/8AwWL1pJNOonfv3ixatIg5c+aQn5/PyJEjQ/vffvvt/Pjjj3z++ed8++23zJ8/n7/++muvr5UQQggRTiL2Umz/Gf0B+PHCH0m0BYucaSum8ezfz+732BM+OKHe7csuXcZpH59GqaeUT8/+lA4JHQD4fN3nnN/p/AZn/PLLL3E4HPj9fjweDwaDgeeeew4g1HLVpUuXBj3munXrePbZZ/d5Gfa7777jjz/+YOXKlXTq1AmAdu3ahe6fMmUKJ598MhMnTgSCRdW///7L//73Py677LLQfmeccQbXXXcdAHfeeSdPPfUUP/zwA507d2bkyJHcfPPN/PLLL6FCbsaMGVx88cUoisLatWuZNWsWv/76KwMGDABg+vTpZGdn89lnn3HBBRfskXvUqFE899xzPPjggwCsWb+Zxf8s5933PwTgueeeo3fv3jzyyCOhY9544w2ys7NZs2YNmZmZvP7667z77rucfPLJALz11lu0atWqQa+xECI8BTQflpSvMVhKWVGcQ/ek7npHEqLRRWyLXTg48cQTWbJkCb///juXXnopY8aM4bzzzgOo09J1oLZv385pp53GBRdcwJVXXrnX/ZYsWUKrVq1CRd3uVq5cycCBA+tsGzhwIGvXriUQCIS2HXnkkaHfFUUhPT2dgoICAFJSUjj11FNDLWwbN25k4cKFjBo1KnQOk8lE//79Q4+RlJRE586dWblyZb25LrroIjZt2sRvv/0GwPRPZ3PUkd1Dxe8///zDDz/8gMPhCP3svG/9+vWsX78er9db55yJiYl07izrRTYuGRUrmqf1rh+wJv+IOXYpO6p26B1HiCYRsS12v//ndwDsJnto25juY7ik6yV4A14sRktou8vvwuV3cfonpwMwf+R8zAYzPtWHQTFgNVpD+845bw4ANpMttG14h+EHlTE6OpoOHYKtfm+88QY9e/bk9ddf54orrggVXatWraJ37/33B8nNzeXEE09kwIABdfq61cdut+/z/gNlNpvr3FYUBVXddYl61KhR3HjjjTz77LPMmDGDHj160KNHj4M+X3p6OieddBIzZszgmLvGMOPTOVx7+SWh+6uqqhg2bFho8EltGRkZrFu37qDPLYSIBLu+MLePb7+P/YQIXxHbYhdljiLKHIVSa04ts9FMlDmKeFt86P4ocxRJ9qTQ5VoIFoOx1liS7Ekk2BJC+9V+XIOy66UzG+oWOAfDYDBw9913c8899+ByuejVqxfdunXjySefrFMs7VRWVhb6ffv27Zxwwgn06dOHadOm1dsnr7YjjzySbdu2sWbNmnrv79q1K7/++mudbb/++iudOnUK9cM7EMOHD8ftdjNnzhxmzJgRaq3beQ6/38/vv/8e2lZcXMzq1avp1q3bXh9z1KhRzJw5k4WL/mHDlu1cdM6ZofuOOuooVqxYQU5ODh06dKjzEx0dTfv27TGbzXXOWVpautfXQQgRWTrYh1C56iEqVz4ka8WKiBWxhV04uuCCCzAajTz//PMoisK0adNYs2YNgwcPZvbs2WzYsIGlS5fy8MMPM3x4sJVwZ1HXunVrnnjiCQoLC8nLyyMvL2+v5zn++OM57rjjOO+885g7dy4bN27k66+/Zs6cYGvkrbfeyrx583jwwQdZs2YNb731Fs899xy33XZbg55PdHQ0I0aMYOLEiaxcuZKLL744dF/Hjh0ZPnw4V155Jb/88gv//PMPl1xyCVlZWaHnVp9zzz2XyspKrp0wmRMHHE1memrovuuvv56SkhIuvvhi/vzzT9avX88333zDmDFjCAQCOBwOrrjiCm6//Xa+//57li9fzmWXXbbfQlgIERkMihE0ExF8sUoIKeyaE5PJxLhx43j88ceprq6mX79+LFq0iA4dOnDllVfStWtXzj77bFasWMHUqVMBmDt3LuvWrWPevHm0atWKjIyM0M++fPzxx/Tt25eLL76Ybt26cccdd4T6zx111FF88MEHvP/++xxxxBHce++9PPDAA3UGThyoUaNG8c8//zB48GBat25d575p06bRp08fzjrrLI499lg0TWP27Nl7XOKtLSYmhmHDhvHPv2sYde7pde7LzMzk119/JRAIcOqpp9KjRw9uvvlm4uPjQ8Xb//73PwYPHsywYcMYMmQIgwYNok+fPg1+XmIfZOUJ0ZwZq1FM5bj8Lr2TCNEkFO1geukfZhUVFcTFxVFeXk5sbGyd+9xuNxs3bqRt27bYbLa9PML+OX3O0Eja3//ze+jSq2imcv8O/tfigOSO+mZpgMZ6vzZLk+KC/+01Cka8oG8WIepx66xP+bb0XgAeG/wYZ7Q7Q+dEQhyYfdVBu5MWOyGEEC1CiX9D6HdFWpZFhJKOBjWizFEsu3SZ3jGEEEI0kURTO7zFgwm4Mzm97en7P0CIMCSFnRBCiBYh1dIVT4Fl/zsKEcbkUqwQQgghRISQwk4I0cik75JonlQtgDnhV6zpn7K0cKnecYRoEhFT2IXB4F4h6p1sWghxeKx0fokt/QssCb+zsXyj3nGEaBJh38fObDajKAqFhYWkpKTISKeWwl9TyCsBcLv1zXIANE3D6/VSWFiIwWDAYpF+PkLoqXOirBEtIlPYF3ZGo5FWrVqxbds2Nm3apHcccbiUFQb/a7JBWfi01kZFRdG6dWtZ7UIIHXSJOp2fFrcDzUiXS7voHUeIJhH2hR2Aw+GgY8eO+Hw+vaOIw+W5C1hhtrAyvg3njZwRFi21RqMRk8kUFlkPSYQ/PRG+jIqFLLUaJ1a9owjRZCKisIPgH82GLFAvwlzVVm7PzqSQdfSq2swRKfLtWwixb1G+Eubab8avgDdwHhajdIkQkUeuB4mwtfPN6/Z7dc0hhAgPnoq59M/JZmCbbGatn6V3HCGaRMS02ImW54qyClYqaaTYU/WOIoQIA9sDu0bCaoRP31whGkIKOxG2LqysYoHainhrgt5RhBBhoLXm4NzKKnq5PZzd4Vy94wjRJKSwE2FrZGY6q61Opub/wck5g/WOI4Ro5noF4jmxqCR4wyB9skVkkj52ImyVGYNvX68qfeyaFxkWK5ong+bfdUMmtRcR6qAKu+eff56cnBxsNhv9+/fnjz/+2Of+U6dOpXPnztjtdrKzs7nllltwh8GksqJ5K64ZBZ0ela5zEiFEuPgiOoopCfH8nb9Y7yhCNIkGX4qdOXMm48eP56WXXqJ///5MnTqVoUOHsnr1alJT9+zEPmPGDO666y7eeOMNBgwYwJo1a7jssstQFIUpU6Y0ypMQLVOsqlJqMGIySI8CIcT+zVbWMDs1GYD0kpX0Tj9a50RCNL4Gt9hNmTKFK6+8kjFjxtCtWzdeeukloqKieOONN+rdf8GCBQwcOJD//Oc/5OTkcOqpp3LxxRfvt5VPiP35cct2Xt0QRdu49npHEUKEgUCtXgJd4zvpF0SIJtSgws7r9bJ48WKGDBmy6wEMBoYMGcLChQvrPWbAgAEsXrw4VMht2LCB2bNnc8YZZ+z1PB6Ph4qKijo/Quzuy+goPk/wsrZ0td5RRG2RvrKGCFsnq+2Zu2U7v2zeSu/kHnrHEaJJNOgaVlFREYFAgLS0tDrb09LSWLVqVb3H/Oc//6GoqIhBgwahaRp+v59rrrmGu+++e6/nmTx5Mvfff39DookW6EtHNL9G+elZtpre6d31jiOEaOZsioX0QCB4Q1P1DSNEE2nyUbHz58/nkUce4YUXXuCvv/7ik08+4auvvuLBBx/c6zETJkygvLw89LN169amjinC0GJbcL3HWEuczkmEEOEiAPiAQEBG04vI1KAWu+TkZIxGI/n5+XW25+fnk55e/8jEiRMn8t///pexY8cC0KNHD6qrq7nqqqv4v//7PwyGPWtLq9WK1SqLNIt923nBr31cB11zCCHCwzqKubFtawBuX/Mho3tdrXMiIRpfg1rsLBYLffr0Yd68eaFtqqoyb948jj322HqPcTqdexRvxpppKjSZR0gcgsvLKzirxITDEqN3FCFEGFih7GqU0ORSrIhQDZ4nYvz48Vx66aUcffTR9OvXj6lTp1JdXc2YMWMAGD16NFlZWUyePBmAYcOGMWXKFHr37k3//v1Zt24dEydOZNiwYaECT4iDcU1ZBX+oGcRaYvWOIoQIA9nEMaTaSX+Xm3Pana13HCGaRIMLuwsvvJDCwkLuvfde8vLy6NWrF3PmzAkNqNiyZUudFrp77rkHRVG455572L59OykpKQwbNoyHH3648Z6FaJFuT0librSLW9d9xH+7X6R3HBEio2JF89RHy+LWgqLgDVlSTESog5rZddy4cYwbN67e++bPn1/3BCYT9913H/fdd9/BnEqIvSo3GggoENACekcRQoSD2t1/5FKsiFCyVqwIWwvtdgD6p9ffv1MIIWpTUPk+ys4L8XH8VbRU7zhCNAlZi0mEvShTlN4RhBBhYJZhFd+mpQBgKVrOUe1O0zmREI1PCjsRthZt2sJitSOJtiS9owghwoBP84d+7xrbVsckQjQduRQrwtbvNhvz4gKsKv1X7yhCiDBwmtqWWdty+XHzNgam9NI7jhBNQgo7Eba+ckTzQZKfJYV/6x1F1CZrxYpmKlaz0NbnJ1FVZfCEiFhS2ImwFAB+rhk8kRmdpW8YIURYUKg1KlaV0fQiMklhJ8JSAKg0Bt++fVKP1jeMECIsrFWK6ZmTTY+2rXl53Yd6xxGiScjgCRGWFGB0eQX5WgJmo0XvOEKIMLDIkI9a01VAlRY7EaGksBNhyQzcXlLGYjUFq9GqdxxRh/SxE81Ta9VBf6+b45wuzjtJpjoRkUkuxYqw9UhiAtfmeHhv9bt6R2nxVFXjZ7uN5RZpPRXN13FqBq/lFTC6opJo+UIoIpS02ImwpAHVBgWXEbwBj95xWrzXf1/MM+mpACzTOYsQe6PUHgmryqhYEZmkxU6EpSpFYVaMA4Az256tcxqxZGtwYXWH/LEUzZiCyu82K9PiYlhculLvOEI0CWmxE2FJq9WNK84Sr1sOEWRTkng3Ny84mUSy3mmEqN9M00a+zUgD4MriZfTROY8QTUEKOxGWHKrGL5u38Y/aFpNB3sZ6MyoWenq8escQYp9c+EK/d4nO1jGJEE1H/iKKsGQA1lrM/G5SsZasoH9mL70jtWgBzcvkxAQCCtyJhlnvQELUY7g/ixvy/yElECD5hKP0jiNEk5A+diJszYmO4u2UAAtzf9E7Sovn1SqYERfDzNgYfEg/O9E8JWlWunp9JAdkSTERuaSwE2HJqSj8GBVcUiwnrp3OaYRTKwj9bpR57EQzVWdUrKbtfUchwpgUdiIsOQ0KeSYTigZDWp+qd5wWz0w0fV1uzqqqxqoY9Y4jRL3WGCo4NTuTHm1b89zGWXrHEaJJSB87EZasqsYFFZUUa3F6RxFArLENj+fVtNq1kRY70TzNNxWwwxT8s+dWZbCPiExS2ImwFKNp3FtcyhI1Ue8oooZTUfAp4NA0pM1ONEetVTtlHg+nVLs4t//JescRoknIpVgRtl6Mj+XGNj7eXPG63lEEcGLrLAa1ySZXdekdRYh6neVLZWZuPmPLK0g0RekdR4gmIYWdCFuVBgOlJqj2VekdpcUrCizHaQh+nKhyJVY0U3UHT+iXQ4imJIWdCEvbTUbeiYsFYGTni3VOI/yaE4AjPB5aG6QlRDRXGkutFt6LcbC4fJ3eYYRoEtLHToSlnd+7rSqk2FN1zSIgwdiZV3bk41A1lCxpshPN0zuW7czJTAfgP8VLZEkxEZGksBNhKcMfYO6W7fyrttY7igCsShzHuj16xxBin0qVWkuKRWXqmESIpiOFnQhLJqDEaGCFTSW6eLksKdYMvBQfi1MxMFr1kKx3GCHqcYE3hesK19LK7ye1v7TXicgkhZ0IW99GR/F6vEb55q+lsNOZK1DC8wnxAAxTvVLYiWapVcBCd09Ny7KsPCEilAyeEGGpzGAILSnWJratzmlEiboq9Hu8wapjEiH2Tqm9jrGsFSsilBR2IiwVGw2ss1iICcCI9ufpHafFsyjRHOHxcFFFJSlS2IlmarXRyX8z0ujRtjVPbZ2jdxwhmoRcihVhKVrVGFZZjaLKW7g5SDH15PHc/OCNdvpmEWJvZllKWGIOfvGoDMhE2iIyyV9FEZbSAwEeKSoGoFLnLCIoQHAaGpOmIROeiOYoO2CmEB9nVVUzosdgveMI0STkUqwIWzNiHJzVKoPXlr+odxQBnJadyVFtW/NvQEpt0TyNcify5bYdXFNWQbo5Vu84QjQJKexE2Co3GthsNlPsLtE7SouX7/uLPFPwAoCMNRTNlVL73SmjYkWEkkuxIiyttph5oWZ6jf90Ga1vGIGHcgCOcrvpYorROY0Q9VNQWWM286/VQpvKzfTWO5AQTUAKOxGW/DW9uNL9flo5snVOI1KMPXg6v5CkQABTtlwIEM3TK7Zi5sRnADCi5G8p7EREksJOhKUOPi+fb8vFqCGXVJoBuyGZk5wyylA0b3lGf+j3jrYUHZMI0XSksBNhyVpTy62ymIkrXsoxrY7WN5Dg/RgHpUYDIwIuMvQOI0Q9LnHFcE3xFjp6faQe2VfvOEI0CSnsRNj6PiqKpxPjOWPth1LY6cwVKObh5EQA+gXcUtiJZqmj30w7lzt4Q1aeEBFKOsOIsFRkNPBzlA2A1tGZOqcR+YHFod+TZeUJ0UzVHRUrhZ2ITFLYibC0xWTmL5uNHK+P/7Y7X+84LZ7F4KCD18vo8gramKL1jiNEvdYYPdyakkS/Nq14YscPescRoknIpVgRluLVAEOqnaT4AxDw6h2nxcs0DeDx7XfpHUOIfXorqpJl5uAXj0J/tc5phGgaUtiJsNTO5+epgiIAKqWwa14UWVBMNE9ZASN5iovzK6s5o31/veMI0STkUqwIW19FR3F+ZjovrHlH7ygCuDgzjd452fzmLdI7ihD1uqHKwfdbc7murJwcS5zecYRoEtJiJ8JWqdHIaquFbHeh3lFavFzfbyy3BgdNqDKvoGimFGoNmJD3qYhQ0mInwtJiq5XHkhIAGN3mbJ3TCJcWbKXr73LTx5Kocxoh6qegssVk4psoO0ucuXrHEaJJSIudCEseQ7AfV2ePlw5RsqSY3lJNvbl8+3Nk+f1Y2xj1jiNEvZ6NdjI7OTg90iklS+ilbxwhmoQUdiIsHen2MHP7DiwaMh9VMxBjyOLMaqfeMYTYp42mQOj39pZ4/YII0YSksBNhyaFpJARU1lrMlFasp69899bdl9FRFJqMnOx30lrvMELU4/IqCybvFo70eEnteLXecYRoElLYibD1U5Sdh5ITOX7LLPoeeZ7ecVo0V6CEu1OS0BSFnECVFHaiWTrSZyTT6QrekJZ+EaGksBNhaVtcK36xBtd8zLKl6JxGbAv8iFYzf12awaZzGiHqZ6g9KhYZFSsik4yKFWFplUljfnQUR7o93JAjS4rpzYydLJ+fK8vK6WaW+cFE87TWGOCxxHhOyc7kscIFescRoklIi50IS4kqDHS6aOvzoWmB/R8gmlSOeSiPb3tE7xhC7NNTsV7WmmMB2Oar1DmNEE1DCjsRlo70w0ulwYmJK6WvjO4UuawlwkBGAHKNKqPKKxmSeZbecYRoElLYifCkafxkt/FqfBxdN33E3Z0G652oxbshNZnFNhsPevI4We8wQtRjUpmJFNfm4A2ZSFtEKCnsRNgqMRpZYrNid+bpHaXF2+b7haXRUQD4pPVONFOKDJ4QLYAUdiIs/WxReDAmkWhVZUzmKXrHafGq1W0ADHK6GJySqnMaIfZGI89oZI3FTIK7gB56xxGiCUhhJ8JStQJeg0Ivl4cejjZ6x2nxjvLH8d+iYtr7fER3dOgdR4h6TYlR+SI6C4CBZUt5Sec8QjQFKexEWOrn1XgzNx+HqqKpMnhCb620RM6rqg7eMNv1DSPEXiy3aEBwvsU2JvkCIiLTQc1j9/zzz5OTk4PNZqN///788ccf+9y/rKyM66+/noyMDKxWK506dWL27NkHFVgIgEQNcnw+KowG1lRv1TtOi6doKj/Zbbwf42Cjt0zvOELU66pKjUcKivhhyzYmxPfWO44QTaLBhd3MmTMZP3489913H3/99Rc9e/Zk6NChFBQU1Lu/1+vllFNOYdOmTXz00UesXr2aV199laysrEMOL1q23+02Ls9I49ltX+odpcWr1ip5IDmRh5MTWeop0juOEPUa6NYYVu0kOaAigydEpGrwpdgpU6Zw5ZVXMmbMGABeeuklvvrqK9544w3uuuuuPfZ/4403KCkpYcGCBZjNZgBycnIOLbVo8XINGr9ZgktXpVtkpQO9LTIsId8Q/DjJMEXrnEaI+tUZFSvzX4oI1aAWO6/Xy+LFixkyZMiuBzAYGDJkCAsXLqz3mFmzZnHsscdy/fXXk5aWxhFHHMEjjzxCILD31QI8Hg8VFRV1foSobZFZ4dMYB4OcLu7JPlfvOC2eRTORGAhwQ0kZ/WxpescRol4bjPBaXCznZabzSNnfescRokk0qMWuqKiIQCBAWlrdD+60tDRWrVpV7zEbNmzg+++/Z9SoUcyePZt169Zx3XXX4fP5uO++++o9ZvLkydx///0NiSZamEQNjnK76ej1yTfvZuA47She2TpL7xhC7NM9SUa2muIBiPWV6xtGiCbS5KNiVVUlNTWVV155BaPRSJ8+fdi+fTv/+9//9lrYTZgwgfHjx4duV1RUkJ2d3dRRRRgZ7FE5oSTYr7NS1orVnaJJfyXR/CUHNLYbNa4or2BQu4F6xxGiSTSosEtOTsZoNJKfn19ne35+Punp6fUek5GRgdlsxmg0hrZ17dqVvLw8vF4vFotlj2OsVitWq7Uh0UQL9JfVyosJsbTO/ZqJR52vd5wWzUCAScmJ/Gy3cXPVBobpHUiIejxf6CXGF1xjGkuSvmGEaCIN6mNnsVjo06cP8+bNC21TVZV58+Zx7LHH1nvMwIEDWbduHWqtucbWrFlDRkZGvUWdEAeq1GjgN7udf525ekdp8ZYoa/g4xkGByYRL9esdR4h6yeAJ0RI0eLqT8ePH8+qrr/LWW2+xcuVKrr32Wqqrq0OjZEePHs2ECRNC+1977bWUlJRw0003sWbNGr766iseeeQRrr/++sZ7FqLF+daqcH9yIsn+AFekDNI7Tou3QwlOcXJytZNToqTbhGieFFRKDQb+tFn5V+ZbFBGqwX3sLrzwQgoLC7n33nvJy8ujV69ezJkzJzSgYsuWLRgMu+rF7OxsvvnmG2655RaOPPJIsrKyuOmmm7jzzjsb71mIFqfUAKVGI6dUOzkmWpYU01t3NZtTy/7kSI+HBKNN7zhC1GtyvJVZ0VloisKRlcuZrncgIZrAQQ2eGDduHOPGjav3vvnz5++x7dhjj+W33347mFMJUa/jPSptqgtIDATkkkoz0F5N4/yKyppbMpBCNE+/20xoSnBJsSyDfAERkUnWihVhKT2gEev2sNlsZoOrgCP1DtTCKagstlrZZjZxhK+c9noHEqIe15W58OHh5GonSX1O1TuOEE3ioNaKFaI5+Ntm5eKsdB7M+1rvKC1eteZkSmI896QksdCVp3ccIep1utPDyMoqklRVWvpFxJIWOxGWthsUFpmDl1KSZAkr3c01LWWpKThFUYYxSuc0QtRPqd1NQOZeFBFKCjsRlr63GZgWE8uZVdXc0/5MveO0eCYM2FWVG0rLOTm7ld5xhKjXZqOB1fYoPnY4aF+1kol6BxKiCUhhJ8JSoqrR1eMl0++XSyrNwDm+I5mW95PeMYTYp6vSYymumSy/yi9LionIJIWdCEtnugOcXRKcQb5aLqnors4lLhkVK5qp2IBGsRHGlpXTO+sIveMI0SSksBNha43ZzHMJcSQX/8y9XKd3nBZNQeWZhDjmRkUxumo9F+gdSIh6fJJbhEnzBm+0SdA3jBBNRAo7EZ40jTKjgR+io2jn2q53mhbvD8MmPo2PA6Bc9eicRoj61V1STFqWRWSSwk6EpS9sRl6OTiTb5+OK5F56x2nx1huLATitqpqz0mUlENE8KZpGtaKw0WzG4q+kk96BhGgCUtiJsJRnVNhmNnNeRRUn26WQ0FsvfxonVKxigMtNukmmOxHN0wNJcfwSZSPfZKKtazWz9A4kRBOQwk6EpSFuPx2c5TIqtpnoGUjh1PIKvWMIsU/fRkdRaQzOy59qsOicRoimIYWdCEttAxpZbjfbTSa2+MrpqnegFk7RVFZazGw1mWjnK6eD3oGE2J2mcWNpGR5FYURVFXHdztU7kRBNQgo7EbZWWcyMzkynVdE8vuYhveO0aC7Nw6vxccyNjuJa51Yp7ETzo6lcVFlV67YMnhCRSQo7EZa2G2CpObiEVaxcUtHdDPsqVtT0rcuQPnaiOdq9y4Z04RARSgo7EZY+tZt5LSaa/5RXcmPnkXrHafF2TlB8f2Ex57Rqq3MaIeqhaeSajGw2mXg3LpYU72Ym6Z1JiCYghZ0ISwmqRluvj6RAQL55NwNXu7pyQtF7wfJOLnGJ5khTGZ6VgdsQHDyR5c4HVynYZaJiEVmksBNhaZTTy+iSUkCWFGsOlJriWtE5hxB7panYNA03cGVZOe29Plj4PJx0j97JhGhUUtiJsLXNZOTZhHiiK/7iXr3DtHAKGm/FxvClI5rhVWu5RO9AQuxB4+ctu61S45dVUkTkkcJOhK0Kg4HZjmhSvTv0jtLi/WTewczY4CWtYwMundMIUQ/psiFaCCnsRFj62G7mQ3sSHbxeLkg4Uu84Ld4ScwkAZ1dWcW5qjr5hhKhPTWHnUWCbyYQBaKtI5wEReaSwE2Fpk8nAKquFy8vKGZHeSu84LV5/bwLHVW1jaLWTHHOM3nGE2JOm8kBSAqstFpbarCT5A8yXXqEiAklhJ8LSaW4fXV0VwQ7QcolFd4O9iRxTWh68IYNZRHOkaXwS4yBQ00oXp6ogLXYiAklhJ8JSd59KV7eTApORvEAV7fQO1MIpaGwymdhqNpHpq6C93oGE2J2mcX1pOaoC/y2vJErTQKZcFBFICjsRnjSNzWYz57TKIL7yd37WO08L59H8zIx18G5cLKOcG7lL70BC7E5TubK8YreN0mInIo8UdiIs7TAqrDKZAbBi0DmNeCpmI+tMsQCkG+06pxGiHvV12ZBLsSICSWEnwtI0h5UPomO4prScy1sP1ztOi6fV9Kubml/IyZkddU4jxJ60pR9QajBQaDTyenwsUZomS4qJiCSFnQhLsapKut+PQ1VBDegdp8W7qzKbnhXzMMvACdFMqXPv4fi2rUO3YwIqk+RSrIhAUtiJsHRDpYebigoAcMmoWN1ZAbsUdaIZq/3uvLq0nORAAHKksBORRwo7EbZKDAaeSYjH4F0vS4rpTEHlc0c0H8dEc3zlaq7QO5AQuzEBSzduQSM4ZCJY0klhJyKPFHYiPGkaToPCx7EO7P4CKex0NtdaxtvRSQC081frnEaI+u0q6ISIXFLYibD0XrSF7602unq8nBIts6bp7SdrcBqJ8ysqGZksk4OJ5ssP5JuMAGTJqFgRgaSwE2HpX7ORP+xWbi4p5T8xqXrHafEGeqIZVF3EBZVVtDPH6R1HiD34gCmJ8eSbTMyNjsKiaizWO5QQTUAKOxGWhjm99HRV08PjQUEGT+htmMtB98oyvWMIsVd+ReHduNjQbZumIhdmRSSSwk6EpX5eP/28VZQZDBSrXrL0DtTCGVDJMxrZajaR5KuUJd5Es2PSNMaWlaMB15eWYwZoJ4WdiDxS2ImwVWI0cGLrVhj8K/hH7zAtnKoF+NoRxZTEBIZVr+ERvQMJsRszcFNpud4xhGhyUtiJsJSvwDZzcEkxuRCrv9sSCtlmSgAgxWDTOY0QB0pa7ETkkUU2RViaEh/F5Rlp3Flcyp+GrnrHafF2Tv46bUc+t8R00zVLpNpeVs5rf36N1+/VO0pY0gCnolBkMDApOZFJyYmyVqyISNJiJ8KSXdOICwSwaBqKrDyhu8mlcbRxLiVGlX+LpnL6jOvRov/hj4IRvHLmg3rHCTsVBoVBbbLrbLtPkzY7EXmksBNhaVKpkwd8VQC4k2UpK73FagqJUtQ1Kb8xDyOwpmSj3lHC1K4S7trSckyaBjn6pRGiqUhhJ8KUhltReDohDr+Wz52qH5NB3s56UbQAP0TZeT/GQe+q1Vyjd6AI5Nx4CwAn9crUOUl4ilVVft+0FQi2+CsAivRGEpFH/hKKsOWHmnmpyrlNC2CSt7NuvrK7+TQqgUKTiWhfhd5xhNiDAkRp0rovIp/8JRRh6R2HjaUmG0e6PfSxpGCQb966+izaQ6HRxH/KKzklZ4DecYTYKxUoMxjQgMSdLXdCRBAp7ERYWmQ1Md9u5b6iYobFd8BsMOsdqUU73mVCVUsZXVFBliVJ7zgRydH5/1AMAX71JAA/6R0n7DgVhdfiY3EqBqbHxQCwCBWrzrmEaGxS2ImwNKLaw9FOJz3cXhS5vKK7MVVmsl0leseIaIohAICHUp2ThCenQeHV+LrrGEt7nYhEUtiJsHSi24vic+JWFJyaH7OmocicVLpRNJVSg4Fck4lof6UMNmwCzq2XYrAUMrjVMXpHCUs2VWNUeSUAd5aUBku69tLSLyKPFHYiPGkafqBfTjaQxy/eCuKscfs7SjQRAyrzo+zcm5LEcZX/8rzegSJQoKorAboS01pGxR4Mh6ZxV4m0dorIJ4WdCEvFBgWPyRi6rcnlWF39N8VLgSnYty7eYNE5jRAHSlr5ReSRwk6Epf9LjGWh3cLEohKGRncgVlrrdOWt+fv4ybYddOxzlr5hIpQp9m9MMSvIDfQHeusdJ2z5gScT49FQuFkLICsbi0gjhZ0ISyY0LKqGQ1WDk41K/zpdvVQICb7tpPgDIK2nTcKeNROAVf7lwM26ZglHO4xGTm2dhVHTCNR8XlwrhZ2IQFLYibD0XFE5Br8bAF+0FBJ6Sw1owaJONBnV78BgqiLJ0FPvKGFJq/nuZwAuKyvHAFgU+RMoIo+8q0VYey4+Dq/JyVXeKhwWh95xWjCVv60W3oqLpX3Vam7QO04Eql57DyBLih2sNH+A+Zu3oQHJO9c1NsqoWBF5pLATYe31+Fj8ipf/+KSw09NnUfCjPYF/bFbKfTKfnWh+jEDSzoIuRLpwiMgjhZ0IS2857Gwx2unt9tDBEI3dZNc7Uov2WpwBp8HKmLIKjmrTR+84QuyTS1HQAJumIYsRikgjhZ0ISz/YrfxtszAlv5ATbHGYZVSsrk50BdA0D5eWV5BkTdM7TkSK7vAwBnMlCzzJwA96xwk75QYDM2McWDUtOCpWUfhedZGidzAhGpkUdiIsnVvtZoDLSXufD6wyeEJvd5X4iPcXB2/IqNgmYTAHV01wU6RzkvBUZjDwbGI8MQEVBdCQJcVEZJLCToSls6tdGAIeAHyaH02mPNGVARWnopBnMmIOOMnWO1AEcm0fidGWx7HpJ+odJSxFayrnVlZhVTVuLi0DwNYxSt9QQjQBKexEWBvQuhWVRpUvK7fQJraN3nFaLAWNRTYr16enckTFEt7TO1AE8lcchb8C4jJlVOzBSA6o3F+028Aeg/SwE5HnoN7Vzz//PDk5OdhsNvr3788ff/xxQMe9//77KIrCiBEjDua0QoRUKAplBgP+mkY6WVJMX8Myo7g+PRUAh8wNJsKGtPKLyNPgwm7mzJmMHz+e++67j7/++ouePXsydOhQCgoK9nncpk2buO222xg8ePBBhxVip2tSExjcphV3F5cyrzhAq5hWekdq0coMwT+Q87Zs59X4vjqniUzG6FVY0z8jL/Cr3lHC3ovxsTydEEe56tE7ihCNrsGF3ZQpU7jyyisZM2YM3bp146WXXiIqKoo33nhjr8cEAgFGjRrF/fffT7t27Q4psBAAO2ejSgoESFJVTAZpJdLTjNxyPtuWS0JAVp9oKlGt38SS8Bv/+l/WO0pYWmc2069NK05rlcm0uFhei4+jMuDVO5YQja5BhZ3X62Xx4sUMGTJk1wMYDAwZMoSFCxfu9bgHHniA1NRUrrjiioNPKkQt7+cV88/GLQxyuUHbfdJRcbi19Qdo7/Mj8/g3HU0LflwnKEfonCQ8BQCXwYBHUbiooopLyiuINlj0jiVEo2tQM0dRURGBQIC0tLrzVKWlpbFq1ap6j/nll194/fXXWbJkyQGfx+Px4PHsaiKvqKhoSEzRAig1ExVMj3VQaTVwvquIZHuy3rFaLAMqG8wmXomPI7VqFeP1DhSBqlY9AsiSYgernc/HnK3bUYDMnesam2VUrIg8TTokqLKykv/+97+8+uqrJCcf+B/dyZMnExcXF/rJzpbJE0T9Xo+L5XmHmWJXsd5RWixVU/nYYeWl+Di+ckTzo7dQ70hC7MEMZPkDu4o6ISJUg1rskpOTMRqN5Ofn19men59Penr6HvuvX7+eTZs2MWzYsNA2tWatPpPJxOrVq2nfvv0ex02YMIHx43d956+oqJDiTtTxemw0JQbo4fES71WJtcTqHanFUjWVyUnB1/+q0nJaZ8ulQtH8aQCaTFEsIk+DCjuLxUKfPn2YN29eaMoSVVWZN28e48aN22P/Ll26sGzZsjrb7rnnHiorK3n66af3WqxZrVasVmtDookW5nOHnU1mM2/syKePZsPgyNA7Uot2UrUL0LiivIKojnKpsClEt3sSg7WQhd404Du944SdQqOBOdHRxKgqTybGU2Y08rmvDBnOJyJNg4cSjh8/nksvvZSjjz6afv36MXXqVKqrqxkzZgwAo0ePJisri8mTJ2Oz2TjiiLrf3uPj4wH22C5EQ5xf6aTEAOl+Pxhk8ISeTAYTTxUUY0D+HZqSwRq8xO3S8vezp6jPdpOJx5MSaOXzhbbJ7JciEjW4sLvwwgspLCzk3nvvJS8vj169ejFnzpzQgIotW7ZgkNm8RRMbXVmNovoBUM1SUOjNgIoXKDYaUQJu9uyYIQ7VXcUlrLRYyFaO1TtKWIoPqJxRVU1iIMCVZcEBebFdE3ROJUTjO6jJv8aNG1fvpVeA+fPn7/PYN99882BOKUS9zslKZ5vJzOuFSzky5Ui947RMNat+rLZY+E9WOpnlf/CNzpEi0aiKKgB+iTfqnCQ85fj9PFa42yArRRohROSRWV1FWHKjYVDApRhwGxRUmctON05vFcOzM8kzBT9OLE072L7FU+QCohBiH6SwE2Hp7Kw08kwmpuYX0sWnkZLUTe9ILZaq+kJF3aJNW7D2kYnIG5umafxjtfCr3Y7fXMpAvQOFuemxDqoMBs4LeJDZL0WkkcJOhKWdbRbpfj+ZfhXFKDPI68VusPL+9jw0wBycQ0LnRJHHr/r5b+bOnotbuEnXNOFpkc3K+NRkOnh9rDFHUW5SOc5fKYWdiDhS2Imw9Pn2fNBUbJoGMhOVroyKQnevrLnZlNRaI447+xw6JglfXhRKjUYqDAF6V1pJMhUSZ7TrHUuIRieFnQhLUZqGoml8ER1FqdHIKZW5ZMTI/Gm60IIz+RcYjbwYH4u9eg136Bwp0lgVM8s2bgHg1/hh+9lb1KeXx8On23Zg1jRWe7I41bgazDF6xxKi0UlhJ8LaG/GxrLNY6FSxSQo7nXj8Lr51RLHBbOaj2BjiPTuksGtsNVP7AMhaCQcnStPoUDOH3Sp5DUUEk8JOhKVXYx14FIUjPF46eX0k2WQ+Kr1Ueau4OyXYU2lcaRm2zL46J4pAtQo7GRXbmOS1FJFHCjsRlt6Oi6HcaOTzbbm08/khThYG0otJMTLA6QLg6rIKaN9a50SRp9pbwc3pKfxmt5MZWC3zBB6EXJORBXYbSQGVJ+JLuMfcitedO5DZL0WkkcJOhKXzK6txKQqxgZpO5TKPnW7iTFG8nF+od4yI5vG5+M0e7Oifa3TrnCY8rbRYuD85iZ5uDz5Fw20wyPyXIiJJYSfC0s2lZXU3yAe0fmpe+wBQYTCgBdwk6pso4tgNFm4pKWWRzcbRgSPQNA1FkX5iDZFsS+LEaiebPN25uqKS44z/kNwlRe9YQjQ6mSJehLWr01IY3DqLBbkL9I7SctUUdnkmI8e1acXQ8oU6B4o8doOJy8sreSG/kC6+aCnqDkJPYwzPFBQRXTiIOL+JLH8Aq0HaNkTkkXe1CGtVBgNlRiPegMyjppcCZyFXZGVQagx+T1SlQ3rjqzV4woC0Th+cet6XmrxXReSRwk6EpaPbtMKrKLyWV0BSIEB6ck+9I7VYPtXDJosZm6qydOMWlJ4X6x0p4vgCHnJNJhbabZSbyuirBjAajHrHCksaCotjXBSZYjjVV0n6/g8RIqxIYSfCkqooaIpCa5+f9EAATDKDvF6SLXFM25GPotWsAaIG9I4UcfKq8zgre+c8jdv4b8BDlCFK10zhZp7Rz+OtMql2/kKRrZp8awKdvWVS2ImII4WdCEtzt2xHUyBBRsXqzmowcbTbs2uDJoVdo1MDGDWNgKLQwWfVO01YcqKRazYRbXTT2Wmlj6+cRKMUxyLySGEnwlKSGizkfrLbyDcZOaZyK9kOGeGmi5p+Sk5F4dmEODT3Ju6UUZuNKtuewpJNWwFYEnMcUWYpSBpqsN/Ae9vz+D/PCE5Xf+cs40qwyvhtEXlkVKwIP+qu1rk342J5IDmJFaWrdQzUslV7q/guys630VG8GxfL9EAhmgygaFy1B09Ii+hBidfgCK8XqzcOQkuKyftURB5psRNhR1MDvBYXiwJ083qJUVVSZUkx3eS7CrklLQWLqnFFWTlKYge9I0WeWsWcUQq7g6TV/K8syiYimxR2Iuyoqo9nEuMB+GXzNuJUFRK76RuqBbMqJnq73USrGjeXlkNKKihyMaAx5TnzeSk5kY9jHLT3FfKmu4x4W7zescLKZoPGsugonIY83kwu5nFbFo9UbmKw3sGEaGRS2InwowY4t7IKDTDvnIdKRmLqJsuezNs7CnZtkBalRlfiKefjGAcA680+vKrM29hQvxsDPJiajKPyXxINWnD+S3mviggkhZ0IO0ZF4f6iEgB8mhGUgIyK1VPNH0cN8CgKasCHXQZPNKoUk4MbS8r4027lRHcKcdY4vSOFnTRV4RiXizWeRC4o9jDY9DfpHbP0jiVEo5PrJSL81PqWfW9KAqdmZ/JN7i86Bmrhaopql6LQNyeb/tp6XH6XzqEiS4rZwZXlFbySV0hfjwmrUaY8aajj/Qqv5hWSXNSbBL+Z9j4/0QaL3rGEaHTSYifCT63LriUGIztMJpw+KST0sqFqG3dlpuOoNVpZRsU2su2LQr8akcuHB0XbNXhi921CRBIp7ETYqfZWc2KbVijA87mV3FBWSuZJvfWO1WK5/B5WWi2k+v38tmkrSutjsZtknrXG5PtuEhUGA0tsVipNXtL9Luyy2spBWxPl5kNLNH29peToHUaIRiaFnQg7qubDZQj2Isj0amQqXrA4dE7VcrW2JfFCXgEWTSNa04KtINK/rlEtsVm5PCOt5paHXtX55MTl6Bkp7HxuVpmWlU5J5Z8ssFXxdnQSD7rypLATEUcKOxF2og1Wvt66Hb+mYKCmoJPBE7qJMdoY7HLv2iAjlBtd7QuGbX1gMshHd0OVGWC9xUKMyUlrt4XWlJBuitY7lhCNTj4dRNgxAK38Abyakfk2E4tMURxRtZ0ceugdrWWqVVQ/Gx+HZqhgrM8py141on5uD0s3bkEFCiw5ZMS00jtS2Bnq0ehWls8k17kcry7iXONy6CWvo4g8MipWhJ+aUbEqBj6NtTAhNZnfipfpHKrlKvdW8Yvdxl9WK68kxPGq0YnT79Q7VsRRACNgkMETByVdg75uD2Zv7fVhZfCEiDzSYifCjtNbzSexMfg1I229KgGXi1RLvN6xWqy11Vu5Nj2VHK+PUeWVKNFJ2Iw2vWNFLFkr9tBoSDknIpsUdiLsVPuqeCwpAaOmMWuDm9blhZDcS+9YLZbdYKarx0um389dJaVgzpLBLI1srdnMxzEOpsfF0Mut8mD5Jhk80UAbFNgYZcdDMV8nlPCyI5Nry1dxjt7BhGhkUtiJsGNRjJxeVY1fMxLY2ZtABk/opnt0Fh/k5u3aIIMnGt1Ws4npcTEALLEZqPZV65wo/HxjgRfiU4gpXYnTqLLDZKJSlmYTEUgKOxF24kxRPF5YTInmoJTgHzsp7HS02ySvmuYHWVKsUbXx+biyrJyVFgunOBVayeCJBktXNXq5vWz2xXJCRTx3V2wgPaed3rGEaHQyeEKEn5oiTsXAO4lGhmdl8GnuzzqHasFqtdD1b9OKI2M8bK/armOgyNPe5+fG0nJezC/kVKdH1oo9COd4NN7ZkU9cSS8SfRaO8HpJNsokzyLySIudCD+1RsUWm2CDxUyZr0rnUC3XkooNPJWRSgevL7RNlhRrRLu1iCrSOn1INGQlMRHZpLATYWdb9Q5Gtc7CpircvkNhdFU+2f1kSTG9lPiq+Mtmw4fCV1tzUeJaER+dqXesyKFp+ACforDRbKbKqNDNW0mMJUbvZGFmVzW33erhS1sUHT3FdNYxkRBNQQo7EXb8AT8lRiNRikamz0C3gAcscmlKL0dEZTIlvxBbwECyqkJABYNR71gRRGNOdBR3pyaHtrxW/C/9M/rrmCn8TLcpfOlIo6JsOUusVbwen8x11ZulsBMRRwo7EXYybQl8um0HeWoCKjWrG8jlKd2kmqM5xemiUrMHZ9GVedYal6ah1RqIku3zYzFadAwUnnYosNxqJcZUTbLXzDEuF1kpMi2PiDxS2ImwY8FAB58Pk6qw3AL5FjttqnfQQe9gLVXN4AkvJqbHOnBa4Tx3CYm2xP0cKA6MxhlV1QypdqIAVk3BkCpdDxrqXE+AfhVFPOTsTN9AJRdWL4Hu8qkhIo+MihXhJzQqVuH7GI2b01KYXbhY51AtV5GnnMVWK2vNFl6Jj+MZh5liV7HesSKHpmECojQNu6ZhQJXe/wehXQCOc7kxyZJiIsJJi50IOyWeMr6PiabKbyTFb6CX20m6OVbvWC3Wwop13J2ZRm9ngDOrqnGabdKxv1HVU3yoATDKx3eD1CqGtXq2CREp5JNBhJ3trkLuT04ixafx+BYzEyrz4bh+esdqsaIVEzleH4l+I3eUlIE1DqLT9Y4VOTSNf6wW5kfZmR0dTXufj7F5izgq6xi9k4WVdUaFApsNn1rJ77HlvBeXwbCyZYzVO5gQjUwKOxF2HAYLJ1Q7MQTsqNR0KpfBE7o5yZHDSdt3sFJtHezcIYMnGpnGCouF1+KDI79zzSaGO/N1zhR+3rEb+CQxldiCdTiNATZYzBQFnHrHEqLRSWEnwk5bWzLPFhSxTM3BKYWd/mpee8/OjxNZK7ZxaRqdvT4uKa+gwGhkkMtN94ROeqcKO2mqRiePl4JAFEdWxzLWs5q0ViP0jiVEo5PCToQf1Q9AACM/xgR4Ki6NIbnzGdt9hL65Wqqafw8vZs7JSme7ycQbRcs5IvkInYNFCo0+Hg99PJ5dm6LS9IsTpq6r9nNddQFDPV1JMG6hr9sDJumbKyKPFHYi/NQUEn6MlBlVVlitdPWW6hyq5fqhYh0z01JIcQVwKwougwF/zb+RaAT1dfCXVtGDUPt1VPa6lxDhTgo7EXYWl6/j7laZJHu9nFMUxWm+bWR06at3rBYr11fBr1F2egc03thRgKYoJCd10ztWBNm18u4Ok5FKg4E0VwnxjhRdU4UrDYUSs5d5djvpniK66x1IiEYmhZ0IOy6/m1yzCVMAUnwmjlPdYEve/4GiSRxrTefhwmK2e9qREahpSTKY9Q0VSTSN1+NieToxPrTpvu0/cX6KLIbVEM9Emfg7JhV38UZW26p5OTmF4RWreEjvYEI0MinsRNg50p7OjO15LA90kFGxzUA7k4N2VdV8GYiGnUvEyjxrjUij9rs72R/AKmvxNthak8Iim41Yo5MYv4lebg+t42W+RRF55JNXhJ1Yg4keXi+FAQvFJpUFNhuJ1bl00TtYSxUaPGFiTnQUBUYjJ1VuoVV8O52DRQhN478VlZxXWYVF04jRNBhxvN6pws4VTh9nVpTxqDObbup2HnHlQ2cZ4CMijywpJsJPrVGxy6L9XJ2eyqsFC3UO1XIV+ir512Km0Ahvx8bwv6QE1peu0ztWBAkuJZakqsGiDmTwxEHo5Q1wWrUTky8OTQZPiAgmLXYi7OS6S/grOoqNPj/RfgOdPV4yzXJJRS+fVm/k2awMjiwv51iXm2y/n2Rbgt6xIke9o2Jl1PHBqlPUyZJiIgJJYSfCzhLndiakJtPOWc01uQnc4c6D3oP1jtViRWEg1e/HHDBxQ3l5cKNMoNuofrdZ+cdqZZXVgqJpnJn3GyelycjjhlhtUnBaLag+F6ujq7gwKY2+pX9xm97BhGhkUtiJsJNksNLf5cbkccjgiWbgEntrLlk6m5f8fcD0d3CjXCpsPJrGr3Y70+J3TabbtWobJ+kYKRxNjrGy2BpN7PbtuIwB/rVaSfVX6h1LiEYnhZ0IO/1tafTPK+DjQGc0fMGNUtjpp+ayoKf2x4n8ezSqHh4P51VWYdA0Onh99OwrrXUNlapqZPt8VKgWcpzRPJ9XQFLPU/WOJUSjk8JOhJ+dK09oRjZHVXNZYipd83/iTq7WOVgLVdM659eM3JmcxMIoG3dtnssZ3S7WOVik0DjF6eIUp2vXJke2fnHC1ONlTnCXc5KnDTHG1RzncoMlUe9YQjQ6KexE+NlZSGCk2qix2G7D4C7SOVTLNcu9jR9Sk3FWFGMyGCg1GnH7Xfs/UByYWh3816sZtDfskMETh6DuiFgZPCEij0x3IsLO15XrGZGVztzkIrLcNp7IL+RaY6resVqsNf4qvouOotTq4rbiSj7dtoMhGcfqHSuC7Co+Sg1GtphMlLhlbeQGq1XDVRkDLLDbWOYp1i+PEE1EWuxE2CkNuFhvsdDREyDKZ2Wo5oJls2DAUsg4Uu94Lc4QYzzZRctY4OxJml8jSvGB0aZ3rMihaTyamMDHMdG4DQYgk8u3f8ctXc7SO1lYeSjORq5iwZdfyDabk5fTUzm67B+m6R1MiEZ2UC12zz//PDk5OdhsNvr3788ff/yx131fffVVBg8eTEJCAgkJCQwZMmSf+wuxPydb03h9Rz5Hl6Thp9bSSuu+0y9UC9bLEMWFlVUkuuN3/XvIpcJGpOFRqCnqwKGqmOViS4Mtspj4OcqOavRgUw108njJNjn0jiVEo2vwp8PMmTMZP3489913H3/99Rc9e/Zk6NChFBQU1Lv//Pnzufjii/nhhx9YuHAh2dnZnHrqqWzfvv2Qw4uWKU2x0M/tIcEbRaVB4W+rhRUWMygym7wudg5mwcgim5UPY6JZVbpW51ARRNO4qbScr7bs4KWNJhZu3sa4VjKas6FurHDxQGExRk8ibZwOPs7N44HEo/WOJUSja3BhN2XKFK688krGjBlDt27deOmll4iKiuKNN96od//p06dz3XXX0atXL7p06cJrr72GqqrMmzfvkMOLFioQnOLEj5Fcq5fRmencm5wEskyQLgoCbjaYTbgMKrNjrDyQnMSvhX/pHSuCaMSrKhl+FZsqLaIH6yS3j3OqqlECDllSTES0BhV2Xq+XxYsXM2TIkF0PYDAwZMgQFi48sLU6nU4nPp+PxEQZZi4OzkZfOfOi7BRY3Bg0E619PjICAWmx08mzvh0Mb5XJxrjttPXAidVOsq3JeseKHDWjYjWQS92HpJ4RsLKkmIhADRo8UVRURCAQIC0trc72tLQ0Vq1adUCPceedd5KZmVmnONydx+PB4/GEbldUVDQkpohw37p38FxaCh3LCzmhIJuvtu0I3qFIvyM9WNGICagYNBNnVGhcX1kEKb30jhVBNH6221hnsrJO8fOFJZGjCxcxghF6Bwsra4wGNIsZ1etnh9XNmJRUWpX+yYN6BxOikR3Wv4SPPvoo77//Pp9++ik2295HzU2ePJm4uLjQT3a2TMYpdklVzBzp9hDttePXan83kRY7PdxDMgu2bCOrtD3+nd8Vay6Xi0agaXzhiGZKchzfx/v4PMbBkqoteqcKO1enxHJ+VgYBSxkeQ4BFdhvLvTJtjIg8DSrskpOTMRqN5Ofn19men59Penr6Po994oknePTRR/n222858sh9T0kxYcIEysvLQz9bt25tSEwR4c4xJTN9Rz5dSlvXHRUrl2L1UXNZMICh1qVCKewaj0Zvt4ehlS4Gl1u4uaSUIat+0DtU2EkKqCT7A6AZSfba+F9BEbfH9tA7lhCNrkGXYi0WC3369GHevHmMGDECIDQQYty4cXs97vHHH+fhhx/mm2++4eij9z8KyWq1YrVaGxJNtCShQsJIpdnFdWkpxKoqj0qLnT5qrQTycbzCz7GZnLd5Dle1l2XqG4WmcXFlFSMqvGzVLHQy1CxcH/CB0axvtjDyUUEZ+JwM8iZhN5o5rdoJtrT9HidEuGnwBMXjx4/n0ksv5eijj6Zfv35MnTqV6upqxowZA8Do0aPJyspi8uTJADz22GPce++9zJgxg5ycHPLy8gBwOBw4HDKHkDgIoek1DHgM8HOUnRS/X1rsdDKNctYmJ1FWWkKcQSHXbKLUJ/1iG8/OwRMKRlSds4SxWgMl1J1fArWATmGEaDoNLuwuvPBCCgsLuffee8nLy6NXr17MmTMnNKBiy5YtGAy7rvC++OKLeL1ezj///DqPc9999zFp0qRDSy9apGneXL7NTMNQtoOsylQeKCzGrmlIHzt9/K64+TUmmnZVTo6rsDDKuYmUI2VJsUZTa1SsSzFQYDRi0TTiZURnA9W8jlrwdVxitYC7gF76hhKi0R3UkmLjxo3b66XX+fPn17m9adOmgzmFCDd+D+xYCllHgcG4//0PwXbNw3KrlQ4mH4pq55yq6uAdMipWF+f7LRxTWcDX7mTiAmZ6qF4wResdK4JojE9NZpHNRoZX4V97FqdWVfOkJq13B0rTNG5JisWkRqNu91FmDPDfzHRiyv5kgd7hhGhk8pdQNI6PLofXh8DPTzb5qS4ijufyCkivyMSvyeAJvQ3xG7msohKLN2HX4AkZFdt4NI0Kg4FSY/Dj2qjVTK8rhd0B86t+5kXZ+MYRDaiompVsn49WBlnTWESeg2qxE2IPq74M/nfhc3D8HU16qg6akQ4uN5964/CgscpiRgO6NulZRb0CfshfDgQHT2wzw1f2KLIqN8klrkb0YGEx+Yodnz+Rvuyc6kQuxR4oBZhYVIJPgSlqFGZ/FLO37YAeg/WOJkSjk8JONLLD0GpWa3oNp8nNBVkZWFSNxdJid/h9MpYCY7BLvw+N5dF+vkxOZljx31LYNRZNIyMQIFpT2aopu66zSIvdATMBIyurAHgMC77QfIte/UIJ0USksBNhZ6XqpNRmo1r1ompmUvx+LBrI4AkdrPiUcZnprLRayNqaT5zPzDEuF+1T4vVOFkF2DZ5Qa7/HZfDEgfPvWsnIixkvNdPESJcBEYGksBON6zC0mr2oVPBDRirt8vJJLu/A91tzg3f0ksJOD0Y0zJqGX7PQudrBXe5C2M8k5KIBNI1vouzkG2z4/AqzohPI8fkYJS12B8znc7LVbMKsBQs7DwrXp6Xg965nqt+F3WTXO6IQjUYKO9HImr64ylQVOvq9qAE7au3xPzIqVhfv5QZXohnqaYPfuCK4UVaeaFQvJcSxzmLhuAr4KTaG/i63FHYNUFiVy/BWmVhVDXW1Aa9m5qcoO+DEG/BKYSciihR2Iuzc5TFDQR6XeNuiUXuCUWmx05MXM77QqFi/vmEiikY/l4c0H3R2OegaKCHbL69vQ6h+N3GBABYNigAfZh4oLMaU2B6bSUbGisgihZ1oXIdjAIPfDYBXM4ES4LaUJLyKwqOqj6imP7vYC69mYmW0ixHJ6fQq/JVJ3K53pMigaUwoKaVEc7BaTeRYY3nNdmmxO1CtrIn8smU7LmMsXQE/5uD8l7EmMMrylSKySGEnGtlhKOxqRrJ5MGPCVzM3FThVvxR2OpiSEE+1QcGT78RlgPUWC2n+Kr1jRZBdS4oFZPDEwQkEB08EDME/ebsGT8ioWBF5pLATYed+e4DN9lQq84uJ8ji4u6gEExpRJove0VqkWY5oik1GlKIAmc5Y3tjxN3E9TtQ7VuTQdhV2fhSqFYWAArHSYnfgagq4gBL8jPBpJtaZzXg0N+1k8ISIMFLYicZ1GC7FrjAprDTbiDP6UTUDF9fMT4VBLqno4fLyCqoNCs/4Y7EqNvq6PWCQttPGo3F+ZjplBhMnlnq5ITWbDl4vn0phd8A2VWzl5ZQkYjFDBXgxMTY9lWKTl48qttA5sbPeEYVoNFLYiUbW9IXdLaWVlOPnAXcGKrUupcgExboYXVEJwJOBePymmo8UGRXbeDSNHSYjFUYDBi048turKMjKEweu0FXIl45osmvGnHgxkRoIYFYMKPK5ISKMFHaicTX1h6SmcayzCjSVif4EAkohuSYjLkUhM+BFLqjox4+RSkXl+yg7Nnc+A/QOFDE03sgrII9YnO4ExrtWYdKQwRMNkG2O5bbiUgLmNB4AfJj4IDcPopIhoZPe8YRoVDLxlwgvqj/0B82LGSc2rkhPZUSrTFY783QO1/JoQJHBQLkhWNAXWz3clJbCY841+gaLJJpGZ6+PLp4AZs2AVSM4qYwMnjhg6aYoLq2o5FRPsIuAV5YUExFMWuxEePF7WGK1oABej8oqLZtjVZWqQAC5NHX4+YAT27QK3ljtwRCwcqTbQ5YjSddckWXX4Amt9ndxabE7cDVLiqk1o2J9mhR2InJJYScaWRNfig14uSkthRKjEZ+rCryxvGI5kphNc6FnRtOeW+zBW/vSu2bE7k1g+o586Npfv1ARRlNVvnBEU6masThVnkqIA+AWKewOWJW3kkqjkbJa0508nRDHRrOFsUXLOSL5CJ0TCtF4pLATjaup+9j5PWT6/dhVjdXazhnja84pl6YOO4emsXTjFvxAR82EZ+f8YDWTSItDF9AC/F9KsAX02E1dWRhfjEnTuEVaqA/YnJJl3N86i76+4OTOXkz8abPxj83KsKodUtiJiCKFnWhkTd1i5+G93HwCJjvtfYk1p6y5PCUtGLpQoKacU/BoNXMJSmHXaDRNZZDTRZVi4TvvYK4pn41Z09BUVRbRO0Ca6seiapi04JJ3PkxcWl5BaZWRzrFtdU4nROOSwk6EF3+wT4xm2DUZ8XsUsyEliQuqt9FHr1wCgEqjyqiMNHzaNj7QO0yEMBuMvJhfyDYtmUGBOMaV+YlSZWWPhrggpiMXbH6LZclD+ZbgqjWnOF3BO22JumYTorFJYSfCS01LkGbcVdgtxskCRzT9vaVS2B1mhUYDr8fFEauqkAcezcIymxXw41f9mAzyEXPItN1v7ux6IC3UB6xm8ISmBCcxD2AEgzk436LPpWcyIRqdfOqKxtXEfeyqPOWMT0/BZLBBqQoYOJNEBhRv4Yi2aU16brGnIqOR6XExpPr9kAe+QDTP5hViiclEkQuFjaRmVKwWfD39ioJbUbBoAZmv6kDVFHb+Wi39JdZoyvxVxFXlkhSXpVcyIRqdFHaiUWlN/Ofc5alkod2OQYOd/flOUOKIragES0ITnlnUJzGgcmVZOXZV42HAg40TXC6weMFg1DteRNjmLOCaVhnYAwbYCMdnxxFQ4vneXUqK3uHCxJyKtfyRlECqqTq07el4B5/YYrlx09dcmdVXx3RCNC75wicaxUKblZfjY/lTadqRetGKwiMFRfyfy8LOwk7bOXhCRgkedmmBADeWlnNleQWAjIptAs6Am81mM3mm4PvcVPM296kyB9uB+sudz4exMaw37rrsGqOYiAsEMKoBHZMJ0fiksBON4itHNM8lxLPY0rSX36I0hWHVTs4MRIe2VaOyw2ik3O9s0nOL/XNj4U+blZ8Mfpw++fdoDK1sybyZm89d+cH1dz/JrWbhpq2kW6XT/4E6TnFwXWkZHdg11+Vtagy/bNnO5RmDdUwmROOTwk40ijyTCYuqkdnU/bn9wW/cqtEa2vSKtoNTW2fxVsk/TXxysTtfciecisIn6TcA4NYs3JKazPXJMeTNvkXndJEhymihj8dDN3ewqS5OU3Bomnx4N8AgzcK1ZRW0MbbetdEcXF5MBk+ISCOfDaJRLLVa8BoUjvA17XmqXSWssFjYZDaHtpkxYFE1jNJZ/7CbZ1Xon5PNK7ZFQLDFrovXRzePB8Oyj3ROFyECwf9T+Wu6RIdGxUrXgwPnDfat8xnsu7btLOy80rIsIosMnhCHTNM0BrjcVBsUHJp1/wccguUVmxiblU4OBaFt1xpa838b/oROVzbpucWe3DWrfZhq+ta5sfBaXsG+DhENVODMZ0mUnXK/CbzwkcOEizjOcxaQqXe4MFHircRoUPAYdn0+/WnS+CQliU47fmRMzwt1TCdE45IWO3HIFEVhakERr+YVEq81bauZ4nOS4feTrNhC2wwGmddLL2f7jfyxaStDtTOAWoMnRKNZVraOW9NSmJ4UfJ9/6jDxSkIcua5CnZOFj+sNRQxqk80q8kLbcg3wpSOaPyo36RdMiCYghZ04ZJqm8Ykjmv5tWnF3bBMWdpsX0G/ha3y7NZfHbLumIg71NpK1Yg87g6Zh1zTMym7r9u4k/yaHLFZTOMrtJtMTvMByslPl4vJKki1xOicLH16CX/oMRkdo2xHWZG4rLuUCR3u9YgnRJORSrDhkmhrs9eM0GKhuypUGpp0e+lU17RoVu1qr5tukBDJL/2Fs051d1KemlbR2V/7JiQn8a7VwY2kZfdUAGOVj5lD0tafx1o4C5gaymQ2MrtRI9pWCPVXvaGHj4xIPvqp83j6iU2hbe3sq7SsqwZysYzIhGp+02IlDtq5wKf9LTCDV72eCdnh6/fjNuwq7fLx8GBvDfOfWw3JuscsPRj9PJ8Sxlc2hbRstJpbYrOSZjKDJHGGHzBecE9Bdc5lbBk8cBG81ZiBg2tVih7lmIIW7TFqWRUSRwk4csoqK7VQaDZg1iDVG7/+AQ/B1dBQ3pSbztW9baFtbJZrrSssYGdOxSc8t9rTAqPJafBy5yvbQtivLKpiaX0hflwdk8tdDVzPFjys0MElBAwKqX7dIYaVgJXirAPDWGhXrs0STZzSydclbMP0CvdIJ0ejkGok4ZB0tSczYnoemgJLWtAMY1lrMfB8dRZRaEdrWyhjNtWUVEN2uSc8t9tTPD0Z3JSW11trs6/bs2kFa7A7ZByVL+SgznZTKSiiERxINzLNnc/f2+VzUZoDe8Zq3Nd/im3EBjyUlEKVqBAy7BvdsVgKc0zqLuECAX9bN1TGkEI1LWuzEIbMHfGT4/Sy3WJhFaZOe6+RqFxOLSjg2pketrTIqVi+neDXuKimlFXtpLZUWu0OW6yllpdVCqTH4PjdoCpqiUC3Ltu3fkuk4DQZmxsYwLT4Wf60Wu9ioVIyahhG5qC0ii7TYiUPnqaLQZGRyciLJWjGjm/BU3b1eunu9rHV0Dm1TDSbKDQouTwnpTXhuUY96+iYVWOxsMajEBVQ6SrF9yM4zJnJ03kK+cvdiAXBlBUwo3kbMoBP0jtb8KQZMmsa1peW4LdH403a12KXEZvP3pq0yrbmIONJiJw7ZxoqN/Ga3kenzM1ht2j52OwXMuzpBl1qiGNQmm1Py5+CXfkeHlUtT0QBN2fVR8mVsLGMy0ngzLkZa7BpBtt/PIJcbkze4NmycaiA5oGJtyhHokUJRiNY0risrZ7waU/cue4IUdSIiSWEnDtmvpSuYkphAL4+HWwNJTXqu9WYTG80mnDuXAwLMtpTgf1Fw+WXdx8NpZLxCr5xs8rRdg1lSMJPj9ZEUUKWPXWPwVAJQpQUvI2qKdD04YLW+cGBPqHufTeYBFJFJvvKJQ5aCmf4uNx29PjA37R+bO1KSWWO1cKc3FwgWdwZrIn9t3IK57XFgidn3A4hGVaGAqiiY2LUSyDDNzrDta4M3pMXukC3xFlNlt1ESUECF9SaFr20xZBUs5rR2J+gdr5lTcCoKPgVidi/k7Am8FhfLBrOZy8or6FT/AwgRdqTFThyyUy1pvJZXwNjyiia/tBGlaThUFZt9V2861ZYQnOHL1bQDN8Sevin28v2WbcQptSbLNddaaF0ujR+yZynn2vRUCqLKAFhlgamJCXxZ8Lu+wcKBYuArR7Crxs3k173PFscPUXa+iIlmq9kkc9mJiCGFnThkSs2lotNaZXKqZQv51fn7OeLgvbMjn4Wbt9E2rntoW8AaH/zFVdZk5xX1s/k9pARUVINl18ajag2fkUuxhyzb76ezx4vPHw9AiupgeGUVx0Zl6xssHCgKVYbgn7k4U1Td0a8GIxdUVjG+pJT2Xp9c2hYRQy7FikNXM/lnhcFAtaLh9DsP6+kD1ng+dUSzzOrhzPzF9Enrs/+DxKEL+IOz9gNOYxxQDUB+t7N4YPFj+BR4RZU/lodqUkkFeCo4wRNc0zRbTWJE0VKIljVO90sxMKa8klHllfhOvITnduuCO6KqetcN1Q8G4+HNJ0QTkMJOHLLHq1bwV1Y6l1RUcooWQytHq8N6fr8tnl/sNr6NttG+aLkUdodJQcka3kuII8Wv4jTGsrOwMxkt/BRlR9E0/AGvfMgcClWtNXgi2Kc0WEQjXQ8OSLBziAWwxLVG2dfYKtUPWPexgxDhQT5zxSHbGqhmrcXCpeWVtPVWYjKa93/QwZzHZOTRpETa+nycWGu7aonjFLePDr4yethlJrvDZUvRv7wWH0drv0o3ZVdLR7w1nvvLPSS6KmTwxKFyl7Fz+tyKmsFC1cZYAALOYqR9aT+UWr1+Y9Ihr+7dAaDYaMSrQCvpDyoihBR24pCN99q4tHgj7X0+jCrBTshK4w+j2Jrcnp/sbnLtbTihdmcZReE0UyKUbgKXM7houtm2t4cRjSTR6+G/5RXE2FPYUGu70WDkXI8GLhcyUdihqSrbzJjMdGIw4N0Q7CtWaLQwqHUW1cXfsUgNYJTLh3unKExNiMMAjDRZ9rj725hY7kiO52iXm2nyJURECBk8IQ5ZB3c1A9xu1pvNzHTYWV+4vEnO0y6gcW9RMWNan77nnbE1a5V+eBm8cEyTnF/U1c7v546SMq6NarvnnTuLDfljeUhKyzaxymphqcUENe1zAUMy5UYjfjTKveX6BmzuVJUPYmJ4NT4Opy1qj7tTOp2JQdMIKMgIbhExpLATh0yp6UD/fqyDh5MTWbzjtyY5T3pA5YLKas7OGLjnnTEZOBWFrSYjlG5skvOL3VTkBv8bm7nHXblGI3/arOQ6m26EdEuQ5HPz8o4CJmu7Jv52G+P5fFsuP7piid85IlzUS41K5Iryci6qqCQ9Yc+Z6noPncJfm7by9o4C+RIiIoZcihWHbK7ixm630dXrxQhkmBz7Peag7Jw6w2AMdo6pZW1UDOfmZBMXCPDLlu1Nc35RR3X5JuyAIbYV7LYe/bNRBr5MSOOmHQsZ22GoLvkiQZSrnAFuN0S3CW0rNyfTzueHiry6KyuIPRg0lSvKK2HAjWCJZveZ6oyWKDDZwO+WFjsRMaSwE4dE8zq5IzkOVVH4dHMJ16pFENs00zAsUwLEm0xk1tN/Lz25GxTOQ0XBrShID7smFPBD7t9cV7aYpTnZPEHVHru0w0yO14lN5gY7eAtfgG8mBH+PTgltLjGlBX9xFoHPVXdCaFHXzvffvtbV3TnwRwo7ESHk6544JH5nEf3dbjp7vJTtXCfWWdIk57rDAWdkZ/JX2bo97otJ68GCTVtZsGUbNplBvmnNnQivDyHPX41fUUhPOWKPXa6M6cIX23dwiTVLh4AR4psJrLCY+dVuI9+RGNrsMjhYEh3Ha3GxLFjyenBKFFGvPF8lJQZDqLCrbyzPrGg7t6Yk8X3ugsMbTogmIoWdOCRmbzWv5BXy2vZKytWaPz5Vefs+6CAEXGXE+H1YVZV2GX3rXFLRNCC5IzG1Czop7prOby8AMHtbLl9v3U6nNifuuU9KTX+mwtWHMVjkmR4byzXpqXzp3/VlSTEo/BCXxNOJ8fzw2xPw5U06Jmzenq5azfFtWvFW1Zq97rPCauZbRzSLC/85jMmEaDpS2IlDUxXsHF+sxbLAbuaU7EyuXfde4z2+uxxePQnjJ1fxQW4ev5eoJCbWc6k3Kqnubbms0uSMQCt7Kubo5D36LpHcOfjfgn+heD24Kw5zusiQHvDT3uslJ6V7ne297ekMq6yml9sDf72tU7pmzOsETcPjqUDRNLJjW+911yFR2YwvKeX/27vz8CiqdPHj3+q9O/u+s2OQNbLIBBdwQBbRER0dhuvPQXT06iCKqLhcBZ0ZR8XrwjjgNjOijjsKzqDijawqIUAImyACJoRAdrInvZ/fHw0tDQkkkBAS3s/z5ElX1VunT/Xprn771KmqawwRUPIDOE4cWiBERyJj7MSZqSoA4KCKpkaFUmQwEORqxUswbPw7HMz2T+pThjV+jTxN40ejkfdCQwhSXh70OKGNLpQsjpE4uPH5yUN5NjKcbz15PPF6OkOMEfCA9N611D0VVdxTUQV9fgOsBnyd0aMShjNqnxw6bFRNMbzYD7pfxgsFeVR7HZjG39hk+LCuYxiWuwE2/gtWPOP7UXL3hrNYYSFal/TYiTPyxf4MrkuK591IDWVP4t1DRbyqa8Vbirl89wDyjyJKvrjJUHf/6/kkNJhPQoJxOeuajBNn7vWwUJ6LDGdPbC+gkbFLUb04ZAkiz2Rku9nUJofnO7XjhxKYggKn404c1yiO2P4ReF2wbyW47YQGxWOJG9B0fNd03/9q349UyuQHiOjYpMdOnL7ti9mXt4q9EWHodEZcnhgGOpxQ1Ypf4poeL3BtUgI9XS4eTb6I2CZC+1z1V6YtTGWw3QEeV+vVQQRQwOLQYAoNBtKju9O7sSBN46aQVG7IX8cwu+Ms17AT8Dhx0/gOWtOAhDQAqnS+lDrsbNWrIzhyCRjFkR8cvcac/E44yRfjMYWwWeekVqfjivqT3VBWiHOf9NiJ0/fJbfy2pobXCkuIrExljzpyBmTxdvjm+dZ5Dp2efUYjeSYjmTYbYYlDmg41WphV42BUQwPG+nL48iHI/aZ16iH8vMCD5RVcW1PLkAt/02TcxanXc1mDXc5SPh1uOy9EhjMhOYF/XzEzYJFSQFRPnoqK4NKuKXwUEtIuVTxnaXqcwMTkBP4nOpKqvtf4FzX6TjRaWNF7BLcmxDEvMhw5x1h0dJLYidOnNxHj8TLCbqfAPoACFcNWaxCLQkPY8u0zcLgV7gChafR2uVhcUMjsyKGYDb4r1AWcAHvs7joxzff/tcsg61V46+ozr4PwXVLj8wdg05vok4ZyZX0Df06ZiPX4Q4TH6jcpcFp6UZvPZWezxUyB0YgxZfiJyzWN3lbf9ewOGuXASwBNx1qblQNGI+ttNoK6N3LW9nEuHXwXMW43lzbYsbfBfa6FOJtkjyBOn8fpf/ijSkahY0lYJJ9YNaZVVpN2uuPc3E54+1qI7w+2aABSXS5Sfznv1OuOmEH9gfW8FRZClMfLb2rkDLdWkbcWNr7he2w5cuBvwA3+xY32hJhDsMek8pn9IGttVl5qOIxxTwZ0HQGRPdq8yh3S/nWw+DboM5FFhSWsCY3k0pSRASFH844JV/4vl799LfG2WN/tsEp/gJgLQXce/l73emHxNAjvAiEJjKlv4K1DxVQOvQWDweQPaypls/W8gq/eOYT/dKvyfb77Tl9yb8D7XIiO4DzcA4jWsiVpAP8IC+GAQY/nyA3KU40JjKxvYKjdDs7TTKry1kL+Oho2vsGunR/55g2ZBsExJ18P4IIJ/F+XQSyMCOf5yHAqdDrfl95Pa8BRc3r1EWCvwgs8Gh3FOyYv7sge0CX9lKu5f/cZCyPCWGuz8vW/b4XPpsOrl7V9fTuqj6dBzSHY+AYWpRjXexJBxsZ7RUOi+hCvdFBTCK9dDq+MgG9baQhER1OYAzuXwrq/wu4vABjscPDL0U83uwjjjM3+x46/DUYVbYNPbmvtmgrR5k4rsVuwYAHdunXDYrEwfPhwNmw4+anhH3/8MX369MFisTBgwAC++OKL06qsOLd8aHDwUmQEr/Sf6J/Xe+CT/K24lMsb7L5r0LXEpjfhzaugppg6TePO+BhuttpZERELl93fvDJ0Oq751d/5ZV09fyktJ8LrhTXPwtu/gk//u2X1Od8pBZ/8HpZOB5edbWYT/wkJ4oXIcPZdOQcMZn9oUz0hwSEJPBzUh9sqqxj/47e+mc5aqC6E7YvlrglHVR309VTbq8iwWXFogCUcLn/whFD/MITgGEifDkBh2S6+tllh5Z/PWpXPCVs/hEVXQ8V+yvQ6Ho6JovDAOt8JFDcv9d1XurmiekLa/6NG07g9PpaHYqKo1zTIedf3HG10Rx0hWluLE7sPP/yQWbNmMXfuXDZv3sygQYMYN24cJSUljcavW7eOKVOmcNttt5GTk8OkSZOYNGkSO3bsOOPKi3ZQUwTvXAdL7mRiyQEucDgZk3iVf3FtaC//tc3sG/9O2fwBvp2iUlC0w/eF7nb6LkXgcfv+vzcZaopQy2ai9n8Hn/0Bm1JEebwYgPCxT0N4SrOrqI/qzfxr3mf00bPb1jzLd1YLW/Iy8K6eBwvTobYEXKeRfJ4Pdi+H7EVQmY9z+8ew5V+w5A7SHE6mVVbzpx43kHrhdc0ubsJ1/2JmxGB/8lek17Pi1YtwfnKb7/BuVYGvR/V846z3fQbyvoMX+8KiibwWbGRWXAz3x8bgvvZlCE04eRmjHuanlCHcmBTPfXExrLZafdd+fGkAFH/vS5w728krRdvh3/f4Eq0ld0DeN7B4Gs9FRvB5cBAPx0ahfvMv6HnqsXUnuGY+Gy68km1mMxstFt979rM/+J7j2xdh1zJY9Rf5QSLOaZpSLfvUDx8+nGHDhvG3v/0NAK/XS0pKCjNmzODhhx8+IX7y5MnU1dWxbNky/7xf/OIXpKWl8eqrrzbrOaurqwkLC6OqqorQ0NCWVFecCXuV78snNAHWv0pN8Q6+3/c5/Woq/LfvUoNvITf9KX75vO+L+c1pw7jCsAPevZEXw4J4PzSEP5eWMzblCtj9BVU6jU0RidjqykhXFnD4Eqv/iY5klc3GP4uK6eP0DbKv0zRK/3s13eLTTqjahtzD/Oa1TAD+ffclDEwOP7H+BzbAsvvwFu/g6uQEDhiNvFxUyqiGBkgYxMHSHRwyGEi5ZgHxhd+D0ebrGdy5FLpeCsGxvltiRV/gG7fkdsLR8TpKnfwSCucKr9dXd2ed75C0JRSKd4LRAtZIWL8Qb5+J1Oz9Gvc3zxHV7wbIeQcF3BkXQ47FzL8LCon3eMAYBL/6a6Njjh78eCsfZ/uuA5b3zMQTluNxw9dzIfNvzI2O5NOQYH5TXcPj5RUA2DWN7YN/S1JDLYleBb96GX74HJKHQuyFULjVd+FYo8X3vjw6zu9ca4dj61N/GKwR0FABlfsh8SLfNh3KgcTB5C++md0mIxc4XXR1++6Uss1s4ncJcdwVNZQ7rn4T7Zht6/bw5wBcm5bI/N9e5J/vbajghTfT+cqs8VlBIbYjn81MWzD1eBik2Yi+NQP2ZEBEN0gd7/uRFZIAtkioL4eg6BPr31aOviePvka2SKgrB3cDhCX7PreaHhLTUCv+SIM5iHqXnehvnofUibD7c94NDWad1codlVUMcvjG+u43GJgTE8kjY1+hT/cxjT71vOU/sHD1PqCJ9ymAUuR88zTFWS8zvq7eNwuYnBhPisvFnPLDhPUYDflZVFlD4frXCNm+FN3A3/jer3syoNulvmsPVhX4fpQq5fs7H8c/ilbRkjyoRSdPOJ1OsrOzeeSRR/zzdDodY8aMITMzs9F1MjMzmTVrVsC8cePGsXTp0pY8ddvzuGHzW/iHgR+f7/qnj11+fGxLppsby8/TTcU6a32HxTQde0tqWOs4RAV1DHEHEWOIxOCxU+GuZIWxnnB3A+NJxKMzEVxfwH8sHgo0J+Pr6uiui8HiLKfcXcJLkZFEOir4U9nPhx9mxMeSHRXM8+4GxtY3sLPbVHJi7qV06yF/zKofSjgY15PowQtYX/QUDTp8A5KPjHv50WRiZqieVHMEiw/9fL27QwYDNXodO8wmdHGTyEuYQEnEEMjT+DZvP8fLK/v5xIwvthexraCxnrc4tLR3iCr+irSC56jR6Xxj/wAKt/JVWAgvRkZw9eqHeLq0/MgGPMW1SQmQCa8VlRDv8eDRDHwVGs1yi4eB3iB+W+NA73VSHtaPd7T92HU6rqc7yfWFOA0hbDUb2ahKSNJH8UtPGFZHObXWBJbqCnF46xmt60GSoxqPzsxuo5Et3gPEaiFcoiVisxfiMEXwb10p9d5artB1I9HtwuSqYoc1jO/UIZI8itG67oTW5eEwhvOhuY5qdwVXeaPo4tERUp/PlqBolhoqSXHZmeJJJKZqOwCPxSWxT+/mgfJKhjh815f7ZsN87o6P5aKoEN7OeQfwHVq16zQadDpW2qz0TJlJXuJVuOqCYf2J7bG1oNL/+F+NLAcg7A7CRoxEHXyeWHf+zz2qQJ7RwK2HvyPO7ebrA4fgB98PwacjI9hoNXN3RRW/rG+gwRxNhaeCZ6PjifRqPFxRTXlYf6z2Ev5jdrHDFsb4Ogf9vTYaLDE47Qd5N9iAGQO31kG9JR5NecjyHmKXxcwvnHr6eS3YTdF4HYV8YK4FnYXb63S4jCF4NT2bPAXsMJsY4jbxi4YG6qyJKOdh3jWW0GAI5qGKalyGYFyGINa597HGZuMyB9x4OB+PzkQdLn4fH0eNTmNZQSFHDw6+HRXBh6Eh3FFRxYxK3/s3JHI0D8ReC5EjeDcrv9GXcVtB1QmvcfxFX/LI/ndwWxdDvW/Z38KC2GYx80JxKVe+7OtFzzGbmBMdRT+nk2dKy3HrLRg8dv43JpmDBo2plVUkWnpicNdT6K3irYhIkhx1/JczjAZLDKF1eXwYbKXAoHF1bT3Jhnh0ysNhVxn/CrUR5Xbw+1o31UHdCKk/wCdmBz+YrVxfXUEfIlCanjp7Li9GRRPmcfNEySHspggszgpeiAjnO5uN2ysr/QnVjyYjNyQlEO32sApgty+53WI2s9Zm5SK7g0EOJ3uTJpGXcBVXRl3MpmIdm4obfw9u2l/hf/zO+v1NDiHAdBOmX1xDVuFyhu/8MwcMBnaZTfxoMvJMaTns/RqAV4P1/Gv1H5hWWc2sTX8HoF7TmJYQi0XB3wuL8ZgiQCkyLBprQuO4rKGBkU4DKqYPEY5CMIf4EuuaYghLAp0B6sp8j5XX90MmJME3RlhvBFOw7wxznd437awHo9W3HhyTmB+zdcfPC0jej5+nBfw7eUwzymlqXkDxjc0/F2KbcHxsSAL0aeKHQjtoUWJXVlaGx+MhLi4uYH5cXBw//PBDo+sUFRU1Gl9U1PRFbB0OBw7Hzxc1ra4+C/eZ9Lrg81mnjjvH9QKeio9lk9VCv8Nl9Duyg8wxm/ggMZ4umovpBRv98VvjYvjGZmWwq5xLavcAUGoystYUQrTOGlB2sttNrhs20oPnHFPZ80My/LArIObtzKM71BDgL1wUtIosVwmF3lr+y7CKKhVMd7uOC1wuPvOM4LAKIUE7TE1pX4I9STxoT0WVGmEPwPfN2uZX1+w7RUQX4GXM2PmDbjcjddsw4cLo3UBXl4tI18/jcBSQazSgNA3DkQRar9wUUccqWwQhNdUE233JbnLpWv7dNZlaneLWA2uJOtLrsjokmI+iIxlbu4dbjySMcRXweUoipWYD1x/8iuQjvZI5wUG8ExPFZfVF3FL88y2iMpITyDcbmXAog65HeiS2Btn4JDaaoQ12bj/082vzXWI8P9pMjC38nvgjiatHq2J5fCz9HAbuObTdH7tf52aH2Uyl/ueegxCvbzvL9Hr2ehOpxUq1suEoGorF041Hnb2gVIPNec1qj8eWnmqYxT2Ahz9r+xmoy2O8biNh2i7inRCtPAGR+0xG9phM1B3ZkVodZfxkMrHSqifO7Wauq5rEMt/rttkWzQqDYqjrMLFHzob+yWjgk4hEwjweHqk46C/3tZgolumD6F5fwfhq30k1hXo9i7skYfIq5pYf8Me+ExXBp4YQEmoqia2shsotVOp0fNQ1GajkT3X5/mRtX2Q4qyzQ7ci9cfVeJxZgl9nX01ur0wjzKmqUlVSnk752N1s9fbjHOZQV3sHU5VohF6Dp1zC3rK6J13gIMJg+2gGu168Bx376a+V0c7lxKANmzU2ZXk+eyUjYkUOJBo/v/ZJtdLHDbGYSTtIqcgDYbTHzpdHEBV4n95ZugyO/nbKCY9lotHCJq4zhlb7PXrHZxDJjPCm4eKC2kPBa3/wcWwxrTYpLVC0jjtxXusxo5GsLRLl9bWpx+pKtQoOeH00Gyo95b4Z5fPWs02ko4AdvCntUMgNqDrG3rj/v1A3kL45+ePfpYB/AziZft+M9fsr3KUBf4D1CtGpS8rPpaf6eHV4zZSqUK/WbqT/SAxfp+fl9W69p7DSb0ZTCABiPbN/OkHC+MtXTpb6K8NoqqD3Vfkt0GF0vOacSuxYdij106BBJSUmsW7eO9PSfz4ibPXs2a9asISsr64R1TCYTb731FlOmTPHPW7hwIU8++STFxcWNPs8TTzzBk08+ecL8Nj0U63bCJ7cemTjVr5Njp1sS29S6NCP2yPQplm3aX8GH5FOktzPSEUsXdzh63FRRzedB1UR53Fxp74ldZyPelc8XQQYK9U6uqHeh0w/Coxlwe2vJtNZhUVa6ey+gzJhArS6Ual0YWhODkdftK6fG7mZcv7hGl7eFFbtK0Os0RqU242zZZjB76zF563F49wC1JHrjiHIfxq5ZqdBKqGMvVhVHqjsIo3Jg1wWRo9+EW/OS5upLD2cRdp2NH4xuirTvsWjdGOKMJdm5l/3mVFaZfgBqGOLqT3dnFU6dmZ1G2GXYR5Q3jGGuHsS78ikzJPC1JR+vqmSQuz+JHi9h7sPkWCLYZcgj3qOR6kkjxbmXEmMSa8xloIrp6e1HiIok2l3IblMkewwFhHjNdFX9MCgXXnT8aKzHqbkIoSvo4qjTheDQjLg0AzrtzO6t+9X3xfSKDaZnzEmubdccSmFWdszeBpzeH/FQRYrLgEkLx6DcmLwH2G4sw+J1c7EzHrvORoinkl2GAgoMXoba9SR7Qqk2RBDj2ML7oUYMSsftVS5yLRdiUC5ydTvYZrYxzG4i1R1MpSEai/sg/wk6jEezMLXaQpUhEqdm5ZC2jWxLMH2dIVzeUMNPlr4YPFWsMf9IvT6CSXWR1OvDqdOHUM5+8oweIlUcqU4DJaZkXJqJAi0Ppy4Gm64HtfpYvFoLBvUfkVtWx4/Ftaf3GVMKg3Jh8RzErvIJ9tYR501Aj5tY10E2m6pooIaBzlBMWiwW1YBTFbLeXEes206auwd2nY0EZx4ZVhelehej693odakYcIOngC+DvIR5FVc2RFBqTCTIU812YzGHDDrSHCYsuh64NSOat5wNpsPoMXGJI4oSYxIaUKqVUaHXEUwcel0cDs1Kg86MHR06zRJwWPpMfPV9MV2jbPSJb50LO3uVC51yEup1YFJ2rJ7DlGi5gJ2hjiBq9aFYvA0UavkU6Ku4wGWipzuULklJpFmKfb1ttijfIejENF8vXdmPENXbd0mpmiLfcJiGSl8vncECjmrff53BN8Ti6Gtz/FGdxua1KOYk6wVkDqc6AoVvuxrVSArSZFpyjsbG9IFfPtZEfOtoyaHYFiV2TqcTm83G4sWLmTRpkn/+1KlTqays5LPPPjthnS5dujBr1ixmzpzpnzd37lyWLl3K1q1bG32exnrsUlJSZIydEEIIIc47LUnsWjSS02QyMWTIEFasWOGf5/V6WbFiRUAP3rHS09MD4gEyMjKajAcwm82EhoYG/AkhhBBCiJNr8Z0nZs2axdSpUxk6dCgXX3wxL730EnV1dUybNg2A3/3udyQlJfH0074LQ957772MHDmS559/nokTJ/LBBx+wadMmXn/99dbdEiGEEEKI81yLE7vJkydTWlrKnDlzKCoqIi0tjeXLl/tPkMjPz0d3zCndI0aM4L333uOxxx7j0UcfpXfv3ixdupT+/fu33lYIIYQQQoiWX8euPch17IQQQghxvmqzMXZCCCGEEOLcJYmdEEIIIUQnIYmdEEIIIUQnIYmdEEIIIUQnIYmdEEIIIUQnIYmdEEIIIUQnIYmdEEIIIUQnIYmdEEIIIUQnIYmdEEIIIUQnIYmdEEIIIUQn0eJ7xbaHo3c9q66ubueaCCGEEEKcXUfzn+bcBbZDJHY1NTUApKSktHNNhBBCCCHaR01NDWFhYSeN0VRz0r925vV6OXToECEhIWia1t7VOSdUV1eTkpLCgQMHTnlDYNExSRt3btK+nZu0b+d2tttXKUVNTQ2JiYnodCcfRdcheux0Oh3JycntXY1zUmhoqOw0Ojlp485N2rdzk/bt3M5m+56qp+4oOXlCCCGEEKKTkMROCCGEEKKTkMSugzKbzcydOxez2dzeVRFtRNq4c5P27dykfTu3c7l9O8TJE0IIIYQQ4tSkx04IIYQQopOQxE4IIYQQopOQxE4IIYQQopOQxE4IIYQQopOQxK6DWrBgAd26dcNisTB8+HA2bNjQ3lUSzfDEE0+gaVrAX58+ffzL7XY706dPJyoqiuDgYH79619TXFwcUEZ+fj4TJ07EZrMRGxvLgw8+iNvtPtubIoC1a9dyzTXXkJiYiKZpLF26NGC5Uoo5c+aQkJCA1WplzJgx7NmzJyDm8OHD3HTTTYSGhhIeHs5tt91GbW1tQMy2bdu47LLLsFgspKSkMG/evLbeNMGp2/eWW2454fM8fvz4gBhp33PX008/zbBhwwgJCSE2NpZJkyaxe/fugJjW2ievXr2awYMHYzab6dWrF4sWLWqz7ZLErgP68MMPmTVrFnPnzmXz5s0MGjSIcePGUVJS0t5VE83Qr18/CgsL/X/ffvutf9l9993Hf/7zHz7++GPWrFnDoUOHuP766/3LPR4PEydOxOl0sm7dOt566y0WLVrEnDlz2mNTznt1dXUMGjSIBQsWNLp83rx5/PWvf+XVV18lKyuLoKAgxo0bh91u98fcdNNNfP/992RkZLBs2TLWrl3LHXfc4V9eXV3N2LFj6dq1K9nZ2Tz33HM88cQTvP76622+fee7U7UvwPjx4wM+z++//37Acmnfc9eaNWuYPn0669evJyMjA5fLxdixY6mrq/PHtMY+OTc3l4kTJ3LFFVewZcsWZs6cye9//3u++uqrttkwJTqciy++WE2fPt0/7fF4VGJionr66afbsVaiOebOnasGDRrU6LLKykplNBrVxx9/7J+3a9cuBajMzEyllFJffPGF0ul0qqioyB/zyiuvqNDQUOVwONq07uLkALVkyRL/tNfrVfHx8eq5557zz6usrFRms1m9//77Simldu7cqQC1ceNGf8yXX36pNE1TBw8eVEoptXDhQhURERHQvg899JBKTU1t4y0Sxzq+fZVSaurUqeraa69tch1p346lpKREAWrNmjVKqdbbJ8+ePVv169cv4LkmT56sxo0b1ybbIT12HYzT6SQ7O5sxY8b45+l0OsaMGUNmZmY71kw01549e0hMTKRHjx7cdNNN5OfnA5CdnY3L5Qpo2z59+tClSxd/22ZmZjJgwADi4uL8MePGjaO6uprvv//+7G6IOKnc3FyKiooC2jMsLIzhw4cHtGd4eDhDhw71x4wZMwadTkdWVpY/5vLLL8dkMvljxo0bx+7du6moqDhLWyOasnr1amJjY0lNTeWuu+6ivLzcv0zat2OpqqoCIDIyEmi9fXJmZmZAGUdj2uo7WxK7DqasrAyPxxPwJgKIi4ujqKionWolmmv48OEsWrSI5cuX88orr5Cbm8tll11GTU0NRUVFmEwmwsPDA9Y5tm2Liooabfujy8S542h7nOyzWlRURGxsbMByg8FAZGSktHkHMH78eN5++21WrFjBs88+y5o1a5gwYQIejweQ9u1IvF4vM2fO5JJLLqF///4ArbZPbiqmurqahoaGVt8WQ6uXKIRo0oQJE/yPBw4cyPDhw+natSsfffQRVqu1HWsmhGip3/72t/7HAwYMYODAgfTs2ZPVq1czevTodqyZaKnp06ezY8eOgDHPHZX02HUw0dHR6PX6E87KKS4uJj4+vp1qJU5XeHg4F1xwAXv37iU+Ph6n00llZWVAzLFtGx8f32jbH10mzh1H2+Nkn9X4+PgTTnpyu90cPnxY2rwD6tGjB9HR0ezduxeQ9u0o7r77bpYtW8aqVatITk72z2+tfXJTMaGhoW3yg14Suw7GZDIxZMgQVqxY4Z/n9XpZsWIF6enp7VgzcTpqa2vZt28fCQkJDBkyBKPRGNC2u3fvJj8/39+26enpbN++PeDLIiMjg9DQUPr27XvW6y+a1r17d+Lj4wPas7q6mqysrID2rKysJDs72x+zcuVKvF4vw4cP98esXbsWl8vlj8nIyCA1NZWIiIiztDWiOQoKCigvLychIQGQ9j3XKaW4++67WbJkCStXrqR79+4By1trn5yenh5QxtGYNvvObpNTMkSb+uCDD5TZbFaLFi1SO3fuVHfccYcKDw8POCtHnJvuv/9+tXr1apWbm6u+++47NWbMGBUdHa1KSkqUUkrdeeedqkuXLmrlypVq06ZNKj09XaWnp/vXd7vdqn///mrs2LFqy5Ytavny5SomJkY98sgj7bVJ57WamhqVk5OjcnJyFKBeeOEFlZOTo/bv36+UUuqZZ55R4eHh6rPPPlPbtm1T1157rerevbtqaGjwlzF+/Hh10UUXqaysLPXtt9+q3r17qylTpviXV1ZWqri4OHXzzTerHTt2qA8++EDZbDb12muvnfXtPd+crH1ramrUAw88oDIzM1Vubq76+uuv1eDBg1Xv3r2V3W73lyHte+666667VFhYmFq9erUqLCz0/9XX1/tjWmOf/NNPPymbzaYefPBBtWvXLrVgwQKl1+vV8uXL22S7JLHroF5++WXVpUsXZTKZ1MUXX6zWr1/f3lUSzTB58mSVkJCgTCaTSkpKUpMnT1Z79+71L29oaFB/+MMfVEREhLLZbOq6665ThYWFAWXk5eWpCRMmKKvVqqKjo9X999+vXC7X2d4UoZRatWqVAk74mzp1qlLKd8mTxx9/XMXFxSmz2axGjx6tdu/eHVBGeXm5mjJligoODlahoaFq2rRpqqamJiBm69at6tJLL1Vms1klJSWpZ5555mxt4nntZO1bX1+vxo4dq2JiYpTRaFRdu3ZVt99++wk/sKV9z12NtS2g3nzzTX9Ma+2TV61apdLS0pTJZFI9evQIeI7Wph3ZOCGEEEII0cHJGDshhBBCiE5CEjshhBBCiE5CEjshhBBCiE5CEjshhBBCiE5CEjshhBBCiE5CEjshhBBCiE5CEjshhBBCiE5CEjshhBBCiE5CEjshhBBCiE5CEjshhBBcd911REREcMMNN7R3VYQQZ0ASOyGEENx77728/fbb7V0NIcQZksROCCGOMWrUKGbOnNmiGKUUd9xxB5GRkWiaxpYtW5r9XJqmtWidtjJq1ChCQkIaXXbLLbf467l06dKzWzEhRItIYieEOKljv9SNRiPdu3dn9uzZ2O329q5au/n000/505/+5J9evnw5ixYtYtmyZRQWFtK/f/9mJYgAt99+u3+dc9X8+fMpLCxs72oIIZrB0N4VEEKc+8aPH8+bb76Jy+UiOzubqVOnomkazz77bHtXrV1ERkYGTO/bt4+EhARGjBjR4rJsNhvx8fGtVbUmpaWl4Xa7T5j/f//3fyQmJp503bCwMMLCwtqqakKIViQ9dkKIUzKbzcTHx5OSksKkSZMYM2YMGRkZ/uXLly/n0ksvJTw8nKioKK6++mr27dsXUMaoUaOYMWMGM2fOJCIigri4ON544w3q6uqYNm0aISEh9OrViy+//LLF5d5zzz3Mnj2byMhI4uPjeeKJJ066PYsXL2bAgAFYrVaioqIYM2YMdXV1/uVer/ek5R3bG3fLLbcwY8YM8vPz0TSNbt26ccstt7BmzRrmz5/v7+3My8tr9uvt9XqZN28evXr1wmw206VLF5566qkzei23bNnCjh07Tvg7VVInhOhYJLETQrTIjh07WLduHSaTyT+vrq6OWbNmsWnTJlasWIFOp+O6667D6/UGrPvWW28RHR3Nhg0bmDFjBnfddRc33ngjI0aMYPPmzYwdO5abb76Z+vr6FpcbFBREVlYW8+bN449//GNA4nmswsJCpkyZwq233squXbtYvXo1119/PUqp0ypv/vz5/PGPfyQ5OZnCwkI2btzI/PnzSU9P9x9mLSwsJCUlpdmv8SOPPMIzzzzD448/zs6dO3nvvfeIi4s7o9dSCHGeUEIIcRJTp05Ver1eBQUFKbPZrACl0+nU4sWLm1yntLRUAWr79u3+eSNHjlSXXnqpf9rtdqugoCB18803++cVFhYqQGVmZp52uUopNWzYMPXQQw81WkZ2drYCVF5eXqPLm1PeyJEj1b333uuffvHFF1XXrl1PKOfYmKae6/iY6upqZTab1RtvvHHS9c70tTze6NGjVXR0tLJarSopKUmtW7fuhBhALVmypFnlCSHah/TYCSFO6YorrmDLli1kZWUxdepUpk2bxq9//Wv/8j179jBlyhR69OhBaGgo3bp1AyA/Pz+gnIEDB/of6/V6oqKiGDBggH/e0V6pkpKS0y4XICEhwV/G8QYNGsTo0aMZMGAAN954I2+88QYVFRWnXV5r27VrFw6Hg9GjR580rqWv5al8/fXXlJaWUl9fT0FBAenp6adReyFEe5PETghxSkFBQfTq1YtBgwbxz3/+k6ysLP7xj3/4l19zzTUcPnyYN954g6ysLLKysgBwOp0B5RiNxoDpo2faHjsN+A+1nkm5xx+uPUqv15ORkcGXX35J3759efnll0lNTSU3N/e0ymttVqu1WXEtfS2FEOcHSeyEEC2i0+l49NFHeeyxx2hoaKC8vJzdu3fz2GOPMXr0aC688MITesBOR1uVC76k55JLLuHJJ58kJycHk8nEkiVLWqXso0wmEx6Pp8Xr9e7dG6vVyooVK1q1PkKI84MkdkKIFrvxxhvR6/UsWLCAiIgIoqKieP3119m7dy8rV65k1qxZZ/wcbVVuVlYWf/nLX9i0aRP5+fl8+umnlJaWcuGFF55x2cfq1q0bWVlZ5OXlUVZW1uyeM4vFwkMPPcTs2bN5++232bdvH+vXrw/oIRVCiKZIYieEaDGDwcDdd9/NvHnzaGho4IMPPiA7O5v+/ftz33338dxzz53xc+h0ujYpNzQ0lLVr13LVVVdxwQUX8Nhjj/H8888zYcKEMy77WA888AB6vZ6+ffsSExNzwrjAk3n88ce5//77mTNnDhdeeCGTJ08+a2P8hBAdm6bUMef4CyGEOGtGjRpFWloaL730UntXpVk0TWPJkiVMmjSpvasihGiC9NgJIUQ7WrhwIcHBwWzfvr29q9KkO++8k+Dg4PauhhCiGaTHTggh2snBgwdpaGgAoEuXLgEXfT6XlJSUUF1dDfgu/RIUFNTONRJCNEUSOyGEEEKITkIOxQohhBBCdBKS2AkhhBBCdBKS2AkhhBBCdBKS2AkhhBBCdBKS2AkhhBBCdBKS2AkhhBBCdBKS2AkhhBBCdBKS2AkhhBBCdBKS2AkhhBBCdBKS2AkhhBBCdBKS2AkhhBBCdBL/H6pj/ONVFONMAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "fig, ax = plt.subplots(1, figsize=(12,5))\n", - "ax.plot(exp_spe.x, exp_spe.y, label='exp spe nCAL')\n", - "\n", - "ax.plot(result.eval(x=np.arange(4000)), '--', label='par perp best fit')\n", + "fig, ax = plt.subplots()\n", "\n", - "ax.plot(crystal_par_perp_model.eval(params=crystal_par_perp_params, x=np.arange(0, 2000)), ':', label='Initial guess')\n", "\n", - "ax.set_xlim(xmax=2000)\n", - "ax.legend()\n", - "show_keys = ['x0', 'x1', 'I_perp_amplitude', 'I_par_amplitude', 'sigma']\n", + "spe_convolved = rc2.spectrum.from_simulation(crystal_sim_convolved_fn, 'crystal_dat', 'I_perp')\n", + "spe_raw = rc2.spectrum.from_simulation(crystal_sim_raw_fn, 'crystal_dat', 'I_perp')\n", "\n", - "[\n", - " {k: v.value for k, v in result.init_params.items() if k in show_keys},\n", - " {k: v.value for k, v in result.params.items() if k in show_keys}\n", - "]" - ] - }, - { - "cell_type": "markdown", - "id": "4ae7d390-3651-40f2-9d09-51287b60bc78", - "metadata": {}, - "source": [ - "## fix `sigma`, `x0` and `x1` and find percentages of I_xx, I_xy, ..." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b3bcd284-48b6-4365-82eb-48c13a7dac1f", - "metadata": {}, - "outputs": [], - "source": [ - "spe_types = [\n", - " #'I_tot',\n", - " #'I_par',\n", - " #'I_perp',\n", - " 'I_xx',\n", - " 'I_xy',\n", - " 'I_xz',\n", - " 'I_yy',\n", - " 'I_yz',\n", - " 'I_zz'\n", - "]\n", + "spe_raw.normalize().plot(ax=ax, label='crystal deltas')\n", + "spe_convolved.normalize().plot(ax=ax, label='crystal convolved')\n", + "spe_raw.convolve('moffat', sigma=5).normalize().plot(ax=ax, fmt=':', label='RC2 convolved')\n", "\n", - "lm_model = VoigtModel\n", - "crystal_all_model = np.sum([\n", - " lm_model(prefix=f\"{spe_t}_{li}_\", name=f\"{spe_t}_{li}\")\n", - " for spe_t in spe_types\n", - " for li in range(len(crystal_lines['Frequencies']))\n", - "])\n", - "crystal_all_params = Parameters()\n", - "crystal_all_params.add('sigma', result.values['sigma'], min=0, vary=False)\n", - "crystal_all_params.add('x0', result.values['x0'], vary=False)\n", - "crystal_all_params.add('x1', result.values['x1'], vary=False)\n", - "for spe_t in spe_types:\n", - " crystal_all_params.add(f'{spe_t}_amplitude', 200, min=0)\n", - " crystal_all_params.add(f'{spe_t}_pedestal', 0, min=0, vary=False)\n", - " for i, pos, intens in zip(range(len(crystal_lines['Frequencies'])),\n", - " crystal_lines['Frequencies'].values,\n", - " crystal_lines[spe_t].values\n", - " ):\n", - " prefix = f\"{spe_t}_{i}_\"\n", - " crystal_all_params.add(prefix+'amplitude', expr=f\"({intens}*{spe_t}_amplitude)+{spe_t}_pedestal\")\n", - " crystal_all_params.add(prefix+'center', expr=f\"({pos}*x1)+x0\")\n", - " crystal_all_params.add(prefix+'sigma', expr='sigma')\n", - " " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "195c2849-3451-4e1a-be4b-3ac4e8685a94", - "metadata": {}, - "outputs": [], - "source": [ - "result = crystal_all_model.fit(exp_spe.y, crystal_all_params, x=exp_spe.x)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "743dcb1d-76cf-4e34-b635-88bac7cbfd01", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots(1, figsize=(12,5))\n", - "ax.plot(exp_spe.x, exp_spe.y, label='spe nCAL')\n", - "\n", - "ax.plot(result.eval(x=np.arange(4000)), '--', label='CRYSTAL sim')\n", - "ax.set_xlim(xmax=2000)\n", - "ax.legend()\n", - "show_keys = ['I_xx_amplitude', 'I_xy_amplitude', 'I_xz_amplitude', 'I_yy_amplitude', 'I_yz_amplitude', 'I_zz_amplitude']\n", - "ratio = np.array([v.value for k, v in result.params.items() if k in show_keys])\n", - "ratio /= ratio.sum()\n", - "ratio *= 100\n", - "for k, v in zip(show_keys, ratio):\n", - " print(f'{k} {v:5.1f} %')" - ] - }, - { - "cell_type": "markdown", - "id": "2d9638df-0d2b-401e-857b-fe651780423f", - "metadata": {}, - "source": [ - "- vasp simulation with nearly identical output to crystal $I_{total}$\n", - "- explain discrepancies between simulated and experimental spectra\n", - "- not corresponding peaks" + "ax.set_xlabel(r'Raman shift [$\\mathrm{cm}^{-1}$]')\n", + "ax.set_title('Calcite -- crystal simulations')\n", + "fig.tight_layout()" ] } ], diff --git a/examples/publication/synthetic-spectrum-generation copy.ipynb b/examples/publication/synthetic-spectrum-generation copy.ipynb deleted file mode 100644 index 251c782e..00000000 --- a/examples/publication/synthetic-spectrum-generation copy.ipynb +++ /dev/null @@ -1,561 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "06e5a61f-2bcb-4f7e-ae93-927c85f4e6b7", - "metadata": {}, - "source": [ - "# Generate synthetic spectra using ramanchada2" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "0802b101-9ac3-4462-95b1-eb5b40cd563e", - "metadata": {}, - "outputs": [], - "source": [ - "import ramanchada2 as rc2\n", - "import ipywidgets as ipyw\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", - "spe_tmp = {'orig': rc2.spectrum.from_delta_lines(deltas={500:1e3, 900:1.5e3})}\n", - "def convolve(lineshape, sigma):\n", - " spe_tmp['convolved'] = spe_tmp['orig'].convolve(lineshape=lineshape, sigma=sigma)\n", - " spe_tmp['convolved'].plot()\n", - "def add_baseline(n_freq, amplitude, pedestal, rng_seed, a1, a2):\n", - " spe_tmp['baseline'] = spe_tmp['convolved'].add_baseline(n_freq=n_freq, amplitude=amplitude, pedestal=pedestal, rng_seed=rng_seed, func=lambda x: x*a1 + x**2*a2)\n", - " spe_tmp['baseline'].plot()\n", - "def add_noise(scale, rng_seed):\n", - " spe_tmp['noise'] = spe_tmp['baseline'].add_poisson_noise(scale=scale, rng_seed=rng_seed)\n", - " spe_tmp['noise'].plot()" - ] - }, - { - "cell_type": "markdown", - "id": "a8362c6e-8650-495c-abbc-5d1c6b050ac1", - "metadata": {}, - "source": [ - "## end-to-end example" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "db41058b-aab7-4238-82a7-247975885bbf", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "for sigma in [10, 20, 30]:\n", - " spe = rc2.spectrum.from_delta_lines(deltas={500:1e3, 700:1.5e3})\n", - " spe = spe.convolve(lineshape='voigt', sigma=sigma, gamma=3)\n", - " spe = spe.add_baseline(n_freq=50, amplitude=10, pedestal=10, func=lambda x: x*.006 + x**2*.00001)\n", - " spe = spe.add_poisson_noise(scale=.01)\n", - " spe.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "a8182afd-f8f3-4687-9f34-0dfbed53ad87", - "metadata": {}, - "source": [ - "## documentation of the methods" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "fb27d8b6-a798-4941-8541-d7a18da310c6", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Help on function from_delta_lines in module ramanchada2.spectrum.creators.from_delta_lines:\n", - "\n", - "from_delta_lines(deltas: Dict[float, float], xcal: Optional[Callable[[float], float]] = None, nbins: typing.Annotated[int, Gt(gt=0)] = 2000, **kwargs)\n", - " Generate `Spectrum` with delta lines.\n", - " \n", - " Args:\n", - " deltas:\n", - " Keys of the dictionary are the `x` positions of the deltas; values are the amplitudes of the corresponding\n", - " deltas.\n", - " xcal:\n", - " Callable, optional. `x` axis calibration function.\n", - " nbins:\n", - " `int`, optional. Number of bins in the spectrum.\n", - " \n", - " Example:\n", - " \n", - " This will produce spectrum with 1000 bins in the range `[-1000, 2000)`:\n", - " ```py\n", - " xcal = lambda x: x*3 -1000, nbins=1000\n", - " ```\n", - "\n" - ] - } - ], - "source": [ - "help(rc2.spectrum.from_delta_lines)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "da7d0dad-e704-433a-992f-64fc27922c01", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Help on method convolve in module ramanchada2.spectrum.filters.convolve:\n", - "\n", - "convolve(new_spe: ramanchada2.spectrum.spectrum.Spectrum, /, lineshape: Union[Callable[[Union[float, numpy.ndarray[Any, numpy.dtype[+_ScalarType_co]]]], float], numpy.ndarray[Any, numpy.dtype[+_ScalarType_co]], Literal['gaussian', 'lorentzian', 'voigt', 'pvoigt', 'moffat', 'pearson4', 'pearson7']], **kwargs) method of ramanchada2.spectrum.spectrum.Spectrum instance\n", - " Convole spectrum with arbitrary lineshape.\n", - " \n", - " Args:\n", - " old_spe: internal use only\n", - " new_spe: internal use only\n", - " lineshape:callable, `str` or `np.ndarray`.\n", - " If callable: should have a single positional argument `x`, e.g.\n", - " `lambda x: np.exp((x/5)**2)`.\n", - " If predefined peak profile: can be `gaussian`, `lorentzian`, `voigt`,\n", - " `pvoigt`, `moffat` or `pearson4`.\n", - " If `np.ndarray`: lineshape in samples.\n", - " **kwargs:\n", - " Additional kwargs will be passed to lineshape function.\n", - " \n", - " Returns: modified Spectrum\n", - "\n" - ] - } - ], - "source": [ - "help(spe.convolve)" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "0d50df60-7bb7-4f50-8aa0-b5d414c877dc", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Help on method add_baseline in module ramanchada2.spectrum.baseline.add_baseline:\n", - "\n", - "add_baseline(new_spe: ramanchada2.spectrum.spectrum.Spectrum, /, n_freq: int, amplitude: float, pedestal: float = 0, func: Optional[Callable] = None, rng_seed=None) method of ramanchada2.spectrum.spectrum.Spectrum instance\n", - " Add artificial baseline to the spectrum.\n", - " A random baseline is generated in frequency domain using uniform random numbers.\n", - " The baseline in frequency domain is tapered with bohman window to reduce the bandwidth\n", - " of the baseline to first `n_freq` frequencies and is transformed to \"time\" domain.\n", - " Additionaly by using `func` parameter the user can define arbitrary function\n", - " to be added as baseline.\n", - " \n", - " Args:\n", - " n_freq:\n", - " Must be `> 2`. Number of lowest frequency bins distinct from zero.\n", - " amplitude:\n", - " Upper boundary for the uniform random generator.\n", - " pedestal:\n", - " Additive constant pedestal to the spectrum.\n", - " func:\n", - " Callable. User-defined function to be added as baseline. Example: `func = lambda x: x*.01 + x**2*.0001`.\n", - " rng_seed:\n", - " `int`, optional. Seed for the random generator.\n", - "\n" - ] - } - ], - "source": [ - "help(spe.add_baseline)" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "871b9b3f-f57b-4735-84c0-2e185ee08985", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Help on method add_poisson_noise in module ramanchada2.spectrum.filters.add_poisson_noise:\n", - "\n", - "add_poisson_noise(new_spe: ramanchada2.spectrum.spectrum.Spectrum, /, scale: float = 1, rng_seed=None) method of ramanchada2.spectrum.spectrum.Spectrum instance\n", - " Add poisson noise to the spectrum.\n", - " \n", - " For each particular sample the noise is proportional to $\\sqrt{scale*a_i}$.\n", - " \n", - " Args:\n", - " old_spe: internal use only\n", - " new_spe: internal use only\n", - " scale:\n", - " `float`, optional, default is `1`. Scale the amplitude of the noise.\n", - " rng_seed:\n", - " `int` or rng state, optional. Seed for the random generator.\n", - " If a state is provided, it is updated in-place.\n", - " \n", - " Returns: modified Spectrum\n", - "\n" - ] - } - ], - "source": [ - "help(spe.add_poisson_noise)" - ] - }, - { - "cell_type": "markdown", - "id": "b84a0aa6-4b46-4393-aef8-fad1d03416ed", - "metadata": { - "tags": [] - }, - "source": [ - "## Interactive example" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "d7a2e49b-6570-4b15-a7f6-b2e5737211c6", - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "170c3b648c6645f5b1657aa88a186c89", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "interactive(children=(Dropdown(description='lineshape', options=('voigt', 'gaussian', 'lorentzian', 'pvoigt', …" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "ipyw.interact(\n", - " convolve,\n", - " lineshape=ipyw.widgets.Dropdown(options=['voigt', 'gaussian', 'lorentzian', 'pvoigt', 'moffat']),\n", - " sigma=ipyw.widgets.FloatSlider(min=1, max=50, value=5),\n", - ")\n", - "None" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "94a17c0c-eb68-4d96-8930-7417e75e0e7c", - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "e28b08e37eb74c869a4e54f4f46b2ea3", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "interactive(children=(IntSlider(value=50, description='n_freq', max=500, min=3), FloatSlider(value=10.0, descr…" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "ipyw.interact(\n", - " add_baseline,\n", - " n_freq=ipyw.widgets.IntSlider(min=3, max=500, value=50),\n", - " a1=ipyw.widgets.FloatSlider(min=-.2, max=.2, value=.0, step=.00001),\n", - " a2=ipyw.widgets.FloatSlider(min=-.0002, max=.0002, value=.0, step=.00001, readout_format='.5f'),\n", - " amplitude=ipyw.widgets.FloatSlider(min=0, max=50, value=10),\n", - " pedestal=ipyw.widgets.FloatSlider(min=1, max=50, value=10),\n", - " rng_seed=ipyw.widgets.IntSlider(min=0, max=999999, value=0)\n", - ")\n", - "None" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "347d7a3a-07c4-47ce-ab56-7ae5cb1c17e6", - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "2c86bc5a208545e4b56d42f07a6bcadc", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "interactive(children=(FloatSlider(value=0.01, description='scale', max=2.0), IntSlider(value=0, description='r…" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "ipyw.interact(\n", - " add_noise,\n", - " scale=ipyw.widgets.FloatSlider(min=0, max=2, value=.01),\n", - " rng_seed=ipyw.widgets.IntSlider(min=0, max=999999, value=0)\n", - ")\n", - "None" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "a741ce77-0f3a-43eb-b397-908559d8feae", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import ramanchada2 as rc2\n", - "spe = rc2.spectrum.from_delta_lines(deltas={500:1e3, 700:1.5e3})\n", - "spe = spe.convolve(lineshape='voigt', sigma=5)\n", - "spe = spe.add_baseline(n_freq=50, amplitude=10, pedestal=10)\n", - "spe = spe.add_poisson_noise(scale=.01)\n", - "spe.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "eaeb037c-684c-4c66-b5d1-2de9f488ab4e", - "metadata": {}, - "source": [ - "## convolution usage" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "b6ecbbe4-b084-45a8-933a-b15cf0ef0ba5", - "metadata": {}, - "outputs": [ - { - "ename": "FileNotFoundError", - "evalue": "[Errno 2] No such file or directory: 'D:\\\\tmp\\\\convolve.png'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[11], line 7\u001b[0m\n\u001b[0;32m 5\u001b[0m spe\u001b[38;5;241m.\u001b[39mconvolve(lineshape\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mlambda\u001b[39;00m x, w: np\u001b[38;5;241m.\u001b[39mexp(\u001b[38;5;241m-\u001b[39m(x\u001b[38;5;241m/\u001b[39mw)\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m2\u001b[39m)\u001b[38;5;241m/\u001b[39m\u001b[38;5;241m20\u001b[39m, w\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m20\u001b[39m)\u001b[38;5;241m.\u001b[39mplot(label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124muser-defined exp(-(x/20)**2)/20\u001b[39m\u001b[38;5;124m'\u001b[39m, ax\u001b[38;5;241m=\u001b[39max[\u001b[38;5;241m1\u001b[39m])\n\u001b[0;32m 6\u001b[0m ax[\u001b[38;5;241m2\u001b[39m]\u001b[38;5;241m.\u001b[39mset_xlabel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mRaman shift [$\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mmathrm\u001b[39m\u001b[38;5;132;01m{cm}\u001b[39;00m\u001b[38;5;124m^\u001b[39m\u001b[38;5;124m{\u001b[39m\u001b[38;5;124m-1}$]\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m----> 7\u001b[0m \u001b[43mfig\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msavefig\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m/tmp/convolve.png\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\matplotlib\\figure.py:3395\u001b[0m, in \u001b[0;36mFigure.savefig\u001b[1;34m(self, fname, transparent, **kwargs)\u001b[0m\n\u001b[0;32m 3393\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m ax \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maxes:\n\u001b[0;32m 3394\u001b[0m _recursively_make_axes_transparent(stack, ax)\n\u001b[1;32m-> 3395\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcanvas\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mprint_figure\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\matplotlib\\backend_bases.py:2204\u001b[0m, in \u001b[0;36mFigureCanvasBase.print_figure\u001b[1;34m(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)\u001b[0m\n\u001b[0;32m 2200\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 2201\u001b[0m \u001b[38;5;66;03m# _get_renderer may change the figure dpi (as vector formats\u001b[39;00m\n\u001b[0;32m 2202\u001b[0m \u001b[38;5;66;03m# force the figure dpi to 72), so we need to set it again here.\u001b[39;00m\n\u001b[0;32m 2203\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m cbook\u001b[38;5;241m.\u001b[39m_setattr_cm(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfigure, dpi\u001b[38;5;241m=\u001b[39mdpi):\n\u001b[1;32m-> 2204\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mprint_method\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 2205\u001b[0m \u001b[43m \u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2206\u001b[0m \u001b[43m \u001b[49m\u001b[43mfacecolor\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfacecolor\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2207\u001b[0m \u001b[43m \u001b[49m\u001b[43medgecolor\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43medgecolor\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2208\u001b[0m \u001b[43m \u001b[49m\u001b[43morientation\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43morientation\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2209\u001b[0m \u001b[43m \u001b[49m\u001b[43mbbox_inches_restore\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m_bbox_inches_restore\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2210\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 2211\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 2212\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m bbox_inches \u001b[38;5;129;01mand\u001b[39;00m restore_bbox:\n", - "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\matplotlib\\backend_bases.py:2054\u001b[0m, in \u001b[0;36mFigureCanvasBase._switch_canvas_and_return_print_method..\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 2050\u001b[0m optional_kws \u001b[38;5;241m=\u001b[39m { \u001b[38;5;66;03m# Passed by print_figure for other renderers.\u001b[39;00m\n\u001b[0;32m 2051\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdpi\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfacecolor\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124medgecolor\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124morientation\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m 2052\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbbox_inches_restore\u001b[39m\u001b[38;5;124m\"\u001b[39m}\n\u001b[0;32m 2053\u001b[0m skip \u001b[38;5;241m=\u001b[39m optional_kws \u001b[38;5;241m-\u001b[39m {\u001b[38;5;241m*\u001b[39minspect\u001b[38;5;241m.\u001b[39msignature(meth)\u001b[38;5;241m.\u001b[39mparameters}\n\u001b[1;32m-> 2054\u001b[0m print_method \u001b[38;5;241m=\u001b[39m functools\u001b[38;5;241m.\u001b[39mwraps(meth)(\u001b[38;5;28;01mlambda\u001b[39;00m \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: \u001b[43mmeth\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 2055\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m{\u001b[49m\u001b[43mk\u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mitems\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mk\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mskip\u001b[49m\u001b[43m}\u001b[49m\u001b[43m)\u001b[49m)\n\u001b[0;32m 2056\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m: \u001b[38;5;66;03m# Let third-parties do as they see fit.\u001b[39;00m\n\u001b[0;32m 2057\u001b[0m print_method \u001b[38;5;241m=\u001b[39m meth\n", - "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\matplotlib\\backends\\backend_agg.py:496\u001b[0m, in \u001b[0;36mFigureCanvasAgg.print_png\u001b[1;34m(self, filename_or_obj, metadata, pil_kwargs)\u001b[0m\n\u001b[0;32m 449\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mprint_png\u001b[39m(\u001b[38;5;28mself\u001b[39m, filename_or_obj, \u001b[38;5;241m*\u001b[39m, metadata\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, pil_kwargs\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[0;32m 450\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 451\u001b[0m \u001b[38;5;124;03m Write the figure to a PNG file.\u001b[39;00m\n\u001b[0;32m 452\u001b[0m \n\u001b[1;32m (...)\u001b[0m\n\u001b[0;32m 494\u001b[0m \u001b[38;5;124;03m *metadata*, including the default 'Software' key.\u001b[39;00m\n\u001b[0;32m 495\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 496\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_print_pil\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilename_or_obj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mpng\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpil_kwargs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmetadata\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\matplotlib\\backends\\backend_agg.py:445\u001b[0m, in \u001b[0;36mFigureCanvasAgg._print_pil\u001b[1;34m(self, filename_or_obj, fmt, pil_kwargs, metadata)\u001b[0m\n\u001b[0;32m 440\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 441\u001b[0m \u001b[38;5;124;03mDraw the canvas, then save it using `.image.imsave` (to which\u001b[39;00m\n\u001b[0;32m 442\u001b[0m \u001b[38;5;124;03m*pil_kwargs* and *metadata* are forwarded).\u001b[39;00m\n\u001b[0;32m 443\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[0;32m 444\u001b[0m FigureCanvasAgg\u001b[38;5;241m.\u001b[39mdraw(\u001b[38;5;28mself\u001b[39m)\n\u001b[1;32m--> 445\u001b[0m \u001b[43mmpl\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mimage\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mimsave\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 446\u001b[0m \u001b[43m \u001b[49m\u001b[43mfilename_or_obj\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbuffer_rgba\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfmt\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43morigin\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mupper\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[0;32m 447\u001b[0m \u001b[43m \u001b[49m\u001b[43mdpi\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfigure\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdpi\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmetadata\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmetadata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpil_kwargs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpil_kwargs\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\matplotlib\\image.py:1676\u001b[0m, in \u001b[0;36mimsave\u001b[1;34m(fname, arr, vmin, vmax, cmap, format, origin, dpi, metadata, pil_kwargs)\u001b[0m\n\u001b[0;32m 1674\u001b[0m pil_kwargs\u001b[38;5;241m.\u001b[39msetdefault(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mformat\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28mformat\u001b[39m)\n\u001b[0;32m 1675\u001b[0m pil_kwargs\u001b[38;5;241m.\u001b[39msetdefault(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdpi\u001b[39m\u001b[38;5;124m\"\u001b[39m, (dpi, dpi))\n\u001b[1;32m-> 1676\u001b[0m \u001b[43mimage\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msave\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mpil_kwargs\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\PIL\\Image.py:2600\u001b[0m, in \u001b[0;36mImage.save\u001b[1;34m(self, fp, format, **params)\u001b[0m\n\u001b[0;32m 2598\u001b[0m fp \u001b[38;5;241m=\u001b[39m builtins\u001b[38;5;241m.\u001b[39mopen(filename, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mr+b\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 2599\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m-> 2600\u001b[0m fp \u001b[38;5;241m=\u001b[39m builtins\u001b[38;5;241m.\u001b[39mopen(filename, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mw+b\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 2601\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 2602\u001b[0m fp \u001b[38;5;241m=\u001b[39m cast(IO[\u001b[38;5;28mbytes\u001b[39m], fp)\n", - "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: 'D:\\\\tmp\\\\convolve.png'" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "spe = rc2.spectrum.from_delta_lines(deltas={500:1e3, 700:1.5e3})\n", - "fig, ax = plt.subplots(nrows=3, figsize=(10, 8), sharex=True, tight_layout=True)\n", - "spe.convolve(lineshape='voigt', sigma=3, gamma=5).plot(label=r'voigt$(\\sigma=3, \\gamma=5)$', ax=ax[0])\n", - "spe.convolve(lineshape=np.array([.1]*15+[.4]*15+[1]*15+[0]+[1]*25+[.4]*25+[.1]*25)/23).plot(label='user-defined array', ax=ax[2])\n", - "spe.convolve(lineshape=lambda x, w: np.exp(-(x/w)**2)/20, w=20).plot(label='user-defined exp(-(x/20)**2)/20', ax=ax[1])\n", - "ax[2].set_xlabel('Raman shift [$\\mathrm{cm}^{-1}$]')\n", - "fig.savefig('/tmp/convolve.png')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1d168697-e1f7-43fd-ac82-d8db5080f705", - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "fig, ax = plt.subplots(nrows=3, figsize=(10, 8), sharex=True, tight_layout=True)\n", - "speconv = spe.convolve(lineshape='voigt', sigma=3, gamma=5)\n", - "ax[0].set_title('n_freq=50; amplitude=50; fun$(x)=0.006\\,x + 0.0001\\,x^2$')\n", - "speconv.add_baseline(n_freq=50, amplitude=50, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[0])\n", - "speconv.add_baseline(n_freq=50, amplitude=50, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[0])\n", - "speconv.add_baseline(n_freq=50, amplitude=50, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[0])\n", - "#speconv.add_baseline(n_freq=50, amplitude=50, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[0])\n", - "ax[1].set_title('n_freq=150; amplitude=20; fun$(x)=0.006\\,x + 0.0001\\,x^2$')\n", - "speconv.add_baseline(n_freq=150, amplitude=20, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[1])\n", - "speconv.add_baseline(n_freq=150, amplitude=20, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[1])\n", - "speconv.add_baseline(n_freq=150, amplitude=20, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[1])\n", - "#speconv.add_baseline(n_freq=150, amplitude=20, pedestal=10, func=lambda x: x*.006 + x**2*.0001).plot(ax=ax[1])\n", - "ax[2].set_title('n_freq=20; amplitude=20; fun$(x)=-1.5\\,x + 0.001\\,x^2$')\n", - "\n", - "speconv.add_baseline(n_freq=20, amplitude=20, pedestal=10, func=lambda x: 600-x*1.5 + x**2*.001).plot(ax=ax[2])\n", - "speconv.add_baseline(n_freq=20, amplitude=20, pedestal=10, func=lambda x: 600-x*1.5 + x**2*.001).plot(ax=ax[2])\n", - "speconv.add_baseline(n_freq=20, amplitude=20, pedestal=10, func=lambda x: 600-x*1.5 + x**2*.001).plot(ax=ax[2])\n", - "ax[2].set_xlabel('Raman shift [$\\mathrm{cm}^{-1}$]')\n", - "\n", - "fig.savefig('/tmp/baseline.png')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "629b9ada-5870-4464-a6ab-eeaf2d6869bb", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots(nrows=3, figsize=(10, 8), sharex=True, tight_layout=True)\n", - "\n", - "spe_baseline = speconv.add_baseline(n_freq=20, amplitude=20, pedestal=10, func=lambda x: 600-x*1.5 + x**2*.001)\n", - "ax[0].set_title('scale=0.01')\n", - "spe_baseline.add_poisson_noise(scale=.01).plot(ax=ax[0], alpha=.8, fmt=':')\n", - "spe_baseline.add_poisson_noise(scale=.01).plot(ax=ax[0], alpha=.8, fmt=':')\n", - "spe_baseline.add_poisson_noise(scale=.01).plot(ax=ax[0], alpha=.8, fmt=':')\n", - "\n", - "ax[1].set_title('scale=0.05')\n", - "spe_baseline.add_poisson_noise(scale=.05).plot(ax=ax[1], alpha=.8, fmt=':')\n", - "spe_baseline.add_poisson_noise(scale=.05).plot(ax=ax[1], alpha=.8, fmt=':')\n", - "spe_baseline.add_poisson_noise(scale=.05).plot(ax=ax[1], alpha=.8, fmt=':')\n", - "\n", - "ax[2].set_title('scale=0.2')\n", - "spe_baseline.add_poisson_noise(scale=.2).plot(ax=ax[2], alpha=.8, fmt=':')\n", - "spe_baseline.add_poisson_noise(scale=.2).plot(ax=ax[2], alpha=.8, fmt=':')\n", - "spe_baseline.add_poisson_noise(scale=.2).plot(ax=ax[2], alpha=.8, fmt=':')\n", - "ax[2].set_xlabel('Raman shift [$\\mathrm{cm}^{-1}$]')\n", - "\n", - "fig.savefig('/tmp/noise.png')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "439b1778-eab9-4f19-9fb7-11efcc911142", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots(nrows=2, figsize=(10, 8))\n", - "markersize = 2\n", - "\n", - "\n", - "\n", - "\n", - "spe_deltas = rc2.spectrum.from_delta_lines(deltas={800:1e3, 1800:1.5e3, 2500:1e3})\n", - "spe_initial = spe_deltas.resample_NUDFT_filter(xnew_bins=100).convolve(lineshape='voigt', sigma=.1, gamma=1)\n", - "spe_baseline = spe_initial.add_baseline(n_freq=30, amplitude=50, pedestal=10, func=lambda x: x*.05 - .00001*x**2)\n", - "spe_complete = spe_baseline.add_poisson_noise(scale=.5)\n", - "spe_scaled = spe_complete.scale_xaxis_fun(lambda x: x**2*.0001 + x*.22)\n", - "spe_nobaseline = spe_scaled.subtract_moving_minimum(6)\n", - "spe_resampled = spe_nobaseline.resample_NUDFT_filter(xnew_bins=100, x_range=(0, 2500))\n", - "spe_normalized = spe_resampled.normalize()\n", - "\n", - "\n", - "\n", - "spe_initial.plot(ax=ax[0], fmt='.', label='Original', markersize=markersize)\n", - "\n", - "spe_complete.plot(ax=ax[0], fmt='.', label='Baseline + noise', markersize=markersize)\n", - "\n", - "spe_scaled.plot(ax=ax[1], fmt=\".\", markersize=markersize, label='Scaled $xnew = 10^{-4}\\,x^2 + 0.22\\,x$')\n", - "ax[1].legend(loc='upper left')\n", - "spe_normalized.plot(ax=ax[1].twinx(), fmt=\".r\", markersize=markersize, label='mov_min + resampling + normalize')\n", - "fig.savefig('/tmp/xscale_nudft.png')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e81eae4e-6570-4f34-934e-489ea89614a0", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "ramanchada2", - "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": "3.11.10" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/examples/publication/synthetic-spectrum-generation.ipynb b/examples/publication/synthetic-spectrum-generation.ipynb index 7274da14..363e86b1 100644 --- a/examples/publication/synthetic-spectrum-generation.ipynb +++ b/examples/publication/synthetic-spectrum-generation.ipynb @@ -10,7 +10,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "id": "0802b101-9ac3-4462-95b1-eb5b40cd563e", "metadata": {}, "outputs": [], @@ -42,13 +42,13 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "id": "db41058b-aab7-4238-82a7-247975885bbf", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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cBhQiIiI/s7iZ4uEIijwGFCIiIj8zyUzxsEjWPQYUIiIiP5Pbi4dFsu4xoBAREfmZWIMiVyTLERR5DChERER+Jl+DwkZt7jCgEBER+ZmZjdq8xoBCRETkZ+5qUCzczVgWAwoREZGfyY2giDUoJm4WKIsBhYiIyM8s3CzQawwoKlBYUo3yWlOwL4OIiJrILDPFwxoU9xhQFO6vc9W4fPYv6P3SymBfChERNRFrULzHgKJwGwtKAABGM5/ARERqZRG4isdbDCgKp9E0fg4RESmbxSKOoNj1QanviWJmkawsBhSF04AJhYhI7WRX8XAExS0GFIU7XWGQPuc0DxGROsnVoOhYg+IWA4rCvfzTHunzt1YfCOKVEBFRU3EExXsMKCry1uqDwb4EIiJqAnGURKezG0Gp/9zCGhRZDCgqEqbnPxcRkRrJjaCE1BfMcgRFHv/iqcgl6fHBvgQiImoCWw2K7c+ubZkxa1DkMKCoSEJUaLAvgYiImsBdDQpb3ctjQFG4nhnx0ucmC1M2EZEa2fqgONegsA+KPAYUhdPZdWoz8klMRKRKXMXjPQYUhTPZPXGNZksQr4SIiJpKWsUjs5sxA4o8BhSFM9k1Zys4UxXEKyEioqaS281Yr2OjNncYUBTOvrq7uNzAYioiIhWyutsskNP3shhQFM7U4IlbY+I0DxGR2pjlNgvkKh63GFAUrqLW7PA19+MhIlIfi2yRbN2fYBMDiiwGFAUTBAFlNUaH2xhQiIjUhzUo3vN5QLFYLJg+fToyMzMRERGBDh064MUXX4Qg2BKiIAiYMWMGUlNTERERgdzcXBw4wI3wGqoyWqQpHnG1MQMKEZH6SCMoOtageMrnAeW1117DvHnz8Pbbb2PPnj147bXXMHv2bLz11lvSObNnz8bcuXMxf/585OfnIyoqCsOGDUNtba2vL0fVqg110zsaDRAbHgIAMFpYg0JEpDZm2WXGrEFxR+/rO9ywYQNGjRqFkSNHAgDatWuHL774Ahs3bgRQN3oyZ84cTJs2DaNGjQIAfPrpp0hOTsZ3332HsWPH+vqSVMtY3zk2VKdFaP1GgUYzn8hERGojV4OiYx8Ut3w+gnLZZZdh1apV2L9/PwBgx44dWLduHUaMGAEAKCgoQFFREXJzc6XviYuLQ79+/ZCXlyd7nwaDAeXl5Q4fFwJx2C9Up0Worj6gsN09EZHqmGU2CxSne7hZoDyfj6BMmTIF5eXlyM7Ohk6ng8Viwcsvv4xx48YBAIqKigAAycnJDt+XnJwsHWto1qxZeOGFF3x9qYon7r2j12kQJo2g8IlMRKQ28qt4WIPijs9HUL766issXLgQixYtwtatW/HJJ5/gjTfewCeffNLk+5w6dSrKysqkj8LCQh9esXKJoyUhDlM8DChERGpjltsskDUobvl8BOWpp57ClClTpFqSbt264ejRo5g1axbuvPNOpKSkAACKi4uRmpoqfV9xcTEuueQS2fsMCwtDWFiYry9V8cQVPA4BhUWyRESq464PCgOKPJ+PoFRXV0OrdbxbnU4Ha/0cW2ZmJlJSUrBq1SrpeHl5OfLz85GTk+Pry1E1cYonVK9FiI4jKEREaiXWmWjlWt0zoMjy+QjKddddh5dffhkZGRno0qULtm3bhjfffBN33303AECj0eDRRx/FSy+9hKysLGRmZmL69OlIS0vD6NGjfX05qmaSpng0dkWyfCITEamN3AhKiFgky8UPsnweUN566y1Mnz4dDz74IE6dOoW0tDTcf//9mDFjhnTO008/jaqqKkyYMAGlpaUYOHAgli1bhvDwcF9fjqrJTvFwBIWISHUsgusaFI6gyPN5QImJicGcOXMwZ84cl+doNBrMnDkTM2fO9PWPP6+YzOIqHgYUIiI1s1jEERT7zQJZg+IO9+JRMKkGRaexCygskiUiUhu5vXg4guIeA4qC2S8zDmOjNiIi1ZLbiydEx2XG7jCgKJh9DQpX8RARqZe7ERQT33jKYkBRMLNcozau4iEiUh32QfEeA4qCOSwzZpEsEZFqye1mbF+DIggMKQ0xoCiYkcuMiYjOC7YRFPtVPLawwkEUZwwoCmayn+LRsdU9EZFaydWg2BfMsg7FGQOKgol9UEL1nOIhIlIrq1WAOIMjV4MCsA5FDgOKgpmsdlM89SMoJhbJEhGpin2fE7m9eBqeQ3UYUBTMJLeKhyMoRESqYj86EqKzH0HRyJ5DdRhQFMzW6t42xWNgQCEiUhWT1fa6bT9qotVqoKn/0mzla3tDDCgKZmt1b18kyycxEZGaWOym5kO0jn92xa/NnL53woCiYPLLjLmKh4hITcQRFI3GsQYFsI2ocIrHGQOKgtnXoLDVPRGROonho+HoCWCrQ2GRrDMGFAUz23WSDdNzFQ8RkRqJ0ze6BqMnAKCTNgzkm8+GGFAUTAwjoXqu4iEiUiuzzE7GIrEXCkdQnDGgKJhYEKvX2m8WyIBCRKQmZum1XC6g1E/xcHTcCQOKgjlsFsgaFCIiVbKNoDj/ydWxBsUlBhQFk5YZ203xsA8KEZG6iKMjsiMorEFxiQFFwUx2y4xtq3i4zJiISE3EJmxyNSg6TvG4xICiYPbLjMVVPBwGJCJSF2mKR2aZsbj0mH1QnDGgKJgYUPQ6jTSCwi25iYjUxd0UjziCYmJAccKAomAmc/0yY51W2mDKZBEgCHwiExGphTjFI9cHhTUorjGgKJhDJ1m91u52BhQiIrUQp3hC3K3i4eu6EwYUBTPKLDMGOM1DRKQm7jrJ6rkXj0sMKApmllnFAzCgEBGpiTh9E8JOsl5hQFEw+z4oOq0GYvhmN1kiIvUwuRtB0YmN2vi63hADioIZG7RHtq3kYdImIlILC2tQmoQBRcHsi2QBsN09EZEKia/lrEHxDgOKgtl3kgUgreRhDQoRkXpY3DRqYw2KawwoCmU0W6UndUSIDoCtwIojKERE6mGyumnUpuMIiisMKApVY7TtuRMRKgYUjqAQEamNxeJ6Lx4xtPB13RkDikLVmOoCil6rkXYyDmWRLBGR6pjdjaCwBsUlBhSFqjaaAdhGTwCOoBARqZEUUGRW8YihhTUozhhQFKq6foon0j6g6OtrUBhQiIhUw9ygZYQ9MbRwBMUZA4pCGeoLYcP0MiMoLJIlIlIN2wiK6xoUM994OmFAUSiLzBOajdqIiNRHbMImt8xYxykelxhQFEpuSDCUNShERKrjrkiWjdpcY0BRKPEJrbNL3FIfFAYUIiLVEN9w6mSmeHRs1OYSA4pCmWV2vwxlJ1kiItURw0eIzBRPCBu1ucSAolBmmd0vWSRLRKQ+4htOub14dGzU5hIDikLJJW42aiMiUh/bbsasQfEGA4pC2WpQnEdQWINCRKQeJotzTaGINSiuMaAolFlm7waxURuHAomI1MPdCAprUFxjQFEouWVpbHVPRKQ+4mu2uxoUjqA4Y0BRKIvM3g2sQSEiUh+513MRO8m6xoCiUHKN2qQaFK7iISJSDZPF3W7GrEFxhQFFoeR2v+QUDxGR+lisbjYL5CoelxhQFMosk7hZJEtEpD5uNwvUsQbFFQYUhZIrkmUNChGR+niyWaA4ykI2DCgKJbvMmH1QiIhUx+x2iodvPF1hQFEo2wiKTA0Ki2SJiFRDrqZQpGMNikt+CSjHjx/H7bffjsTERERERKBbt27YvHmzdFwQBMyYMQOpqamIiIhAbm4uDhw44I9LUS25vRvEhj6sQSEiUg+5mkKRnn1QXPJ5QDl37hwGDBiAkJAQLF26FLt378Y///lPtGjRQjpn9uzZmDt3LubPn4/8/HxERUVh2LBhqK2t9fXlqJZsDYqeQ4FERGrjSZEsa1Cc6X19h6+99hrS09OxYMEC6bbMzEzpc0EQMGfOHEybNg2jRo0CAHz66adITk7Gd999h7Fjx/r6klRJStwyy4xZg0JEpB5mN51kxWl8M994OvH5CMr333+P3r1746abbkJSUhJ69uyJDz74QDpeUFCAoqIi5ObmSrfFxcWhX79+yMvLk71Pg8GA8vJyh4/znYWt7omIzgvS7vRualA4xePM5wHl8OHDmDdvHrKysrB8+XJMnDgRDz/8MD755BMAQFFREQAgOTnZ4fuSk5OlYw3NmjULcXFx0kd6erqvL1txTLKreFiDQkSkNnI1hSI9Nwt0yecBxWq1olevXnjllVfQs2dPTJgwAffddx/mz5/f5PucOnUqysrKpI/CwkIfXrEyyY2ghLLVPRGR6ojTNyEyfVBsRbJ8XW/I5wElNTUVF198scNtnTt3xrFjxwAAKSkpAIDi4mKHc4qLi6VjDYWFhSE2Ntbh43wn2+qeRbJERKojvp67q0Gx8HXdic8DyoABA7Bv3z6H2/bv34+2bdsCqCuYTUlJwapVq6Tj5eXlyM/PR05Ojq8vR7W4WSAR0flBfD0PkVnFI4YWE6d4nPh8Fc9jjz2Gyy67DK+88gpuvvlmbNy4Ee+//z7ef/99AIBGo8Gjjz6Kl156CVlZWcjMzMT06dORlpaG0aNH+/pyVMskk7hZg0JEpD5uR1BYg+KSzwNKnz598O2332Lq1KmYOXMmMjMzMWfOHIwbN0465+mnn0ZVVRUmTJiA0tJSDBw4EMuWLUN4eLivL0e1bInbNsgVylU8RESqI9WguFvFw9d1Jz4PKABw7bXX4tprr3V5XKPRYObMmZg5c6Y/fvx5QawzEZuzAfbLjJm0iYjUwuJmBEUsnOUIijPuxaNQ4ihJqEyRLBu1ERGph8nq3DZCpNOxD4orDCgKJRbChjh0krXVoAgCn8xEREpntQoQX671bpcZ8zW9IQYUhTLJVH2LoymCwOFAIiI1MNn1N5EdQbHbzZhvPB0xoCiUWGcSIlODYn+ciIiUy/7NpLvdjBueSwwoiiVbg2L3OetQiIiUz/7NpOwUj93rOqd5HDGgKJRRZpmx/XQPlxoTESkfR1CajgFFoeRqUDQaDXuhEBGpiNjfRKsBtDIBxX7psZlT9w4YUBRKbhVP3df1K3nMfCITESmdtK+azPRO3e12AYUbBjpgQFEouUZtAHuhEBGpiTgqIreCB6gbGbdfyUM2DCgKZXI5gsIpHiIitRBHReS6yIp07IUiiwFFoYwudr9kDQoRkXqIoUNuHx6RniMoshhQFEpaZtxwioc7GhMRqYY4xePJCApf1x0xoCiQxSpADNKhLqZ4jCySJSJSPHGKJ8RNQOEIijwGFAWyT9GsQSEiUi9xikfnokgWsDVrYw2KIwYUBTK6Cyh6BhQiIrUQp3hCXCwzBjiC4goDigKJK3gAuSJZzlUSEakFV/E0HQOKAkkbBeo00Ggcn9RSDQo7DhIRKZ6tD0rjIyhmvvF0wICiQCaZfXhEUg2KmU9kIiKls0idZDmC4i0GFAWS2yhQxCJZIiL1EF+rXXWSBWyv66xBccSAokCu9uEBgFA9a1CIiNTCmxEUvq47YkBRIKlJm0ziZg0KEZF6mBrZLBCwNeQ0cureAQOKAkk1KHpO8RARqZnF6vkUj4lvPB0woCiQ2CXWXQ0KkzYRkfKJocPdFE+YtEu9JSDXpBYMKApkm+KRqUFhHxQiItUQa1B07qZ4+MZTFgOKAnkyxWNkQCEiUjyzi53p7bG2UB4DigK5LZIVW91zs0AiIsWT9uJxM8XDIll5DCgKZLQ0XoPCKR4iIuUzu3k9FzGgyGNAUSCTuz4orEEhIlINT0ZQ+MZTHgOKAnnS6p41KEREyudJDUoYR1BkMaAokFSDonfdqI3r5YmIlM+rGhS+8XTAgKJAbmtQpCJZPpGJiJTOLDZqc7PMWBxd4QiKIwYUBXK7Fw9rUIiIVMPswV48oTodAI6gNMSAokCsQSEiOj+Iq3j0XMXjNQYUBfJks0COoBARKZ8nuxkzoMhjQFEgowcjKCySJSJSPvHNpLvNAjl1L48BRYHELrGhMq3uxZU9fCITESkfR1CajgFFgdzVoEjFVHwiExEpnsmbGhS+8XTAgKJAtj4oclM8HEEhIlILi7TM2IPNAvnG0wEDigIZ3XQelPqgsAaFiEjxTB4tM+YIihwGFAUyuWnUFspVPEREqmGpfz3XcZmx1xhQFMjdZoFcZkxEpB5iJ9kQD0ZQ+LruiAFFgWx9UFzXoDBpExEpn1d78fB13QEDigJJNSjcLJCISNXMbqbsRQwo8hhQFMjtXjx6DgUSEamFOMXjbgSFW5jIY0BRIE/24jFbBVitHEUhIlIy2wgKp3i8xYCiQOL0jbsaFAAwWflkJiJSMlsNipspHo6gyGJAUSBPRlDqzuMIChGRkolTPG734uEIiiwGFAVy26jNPqDwyUxEpGjiFI8njdqsgm3vHmJAUSR3re51Wo1UbMVCWSIiZRNHReSm7EX2r/UcRbFhQFEgcTdjV8vSpF4oDChERIpWXmsGAMRGhLg8x/61ngHFhgFFgdyNoADshUJEpBbltSYAjQUU2/QP33jaMKAokNFNkSxgV/HNpE1EpFi1Jov0Oh0Trnd5nkajsRXKMqBI/B5QXn31VWg0Gjz66KPSbbW1tZg0aRISExMRHR2NMWPGoLi42N+XohomN0WydbezWRsRkdLVGC3S51GhrgMKwDeecvwaUDZt2oT33nsP3bt3d7j9scceww8//ICvv/4aa9euxYkTJ3DDDTf481JUw2oVUGtyX1QltsBn0iYiUi7xNdp+cYMrXGrszG8BpbKyEuPGjcMHH3yAFi1aSLeXlZXho48+wptvvokrr7wSl156KRYsWIANGzbg999/99flqEbe4bPS566LZOtHUPhEJiJSLEMjbzbtRYXpAACVBrNfr0lN/BZQJk2ahJEjRyI3N9fh9i1btsBkMjncnp2djYyMDOTl5cnel8FgQHl5ucPH+cp+2iY+Ur6oKpRFskREime01E3xuFrwYC8+IhQAUFZj9Os1qYn7SbEm+vLLL7F161Zs2rTJ6VhRURFCQ0MRHx/vcHtycjKKiopk72/WrFl44YUX/HGpiiOGjkvS46HRsAaFiEitDGb3KzLtiW9Iy2pMfr0mNfH5CEphYSEeeeQRLFy4EOHh4T65z6lTp6KsrEz6KCws9Mn9KpHBXJe4w9w8odkHhYhI+cR6Enev56LosLrxgspaTvGIfB5QtmzZglOnTqFXr17Q6/XQ6/VYu3Yt5s6dC71ej+TkZBiNRpSWljp8X3FxMVJSUmTvMywsDLGxsQ4f5yujB4mbIyhERMrnyeu5yLbMmFP3Ip9P8QwdOhR//vmnw23jx49HdnY2nnnmGaSnpyMkJASrVq3CmDFjAAD79u3DsWPHkJOT4+vLUR2DlLh1Ls8Rn8gMKEREyiWOcntSJBvCZcZOfB5QYmJi0LVrV4fboqKikJiYKN1+zz334PHHH0dCQgJiY2Px0EMPIScnB/379/f15aiOweTJFI+4iodJm4hIqcRVPJ5M8XCZsTO/FMk25l//+he0Wi3GjBkDg8GAYcOG4d133w3GpSiOmLg9qUExcASFiEixjI1sW2IvlFP3TgISUNasWePwdXh4ON555x288847gfjxqiKtm3fzhI6s70hYY2QxFRGRUjWtBoUBRcS9eBTGkxEUW0Mfi8tziIgouIwe1BSK2OreGQOKwniybj6qfjlaFTsOEhEplsGLIlmxFf62wlJ/XpKqMKAojCeJOzqUAYWISOnERQ+eTPGcLKsBAOxgQJEwoCiM2KjNoxEUI6d4iIiUypsi2f7tE/19OarDgKIwBg86D4aH1I2u1JoYUIiIlMqbItnslLoGpK1iwvx6TWrCgKIwntSghIfUHWNAISJSLnFfnZjwxhfMhurralC4zNiGAUVhbI19XNegRHAEhYhI8U5VGAAASTGN70tna8DJgCJiQFGYovK6Qil3w3y2KR4+kYmIlOpclREAkBgV2ui5tj3W2CFcxICiMCdLawEAreMjXJ4TVj/FU8MRFCIixfJmN2NpLx6LFYLAkAIwoCiOGDrEZmxyWCRLRKR8pia0ugcAs5UBBWBAURxP+qBEcIqHiEjxjPXTNSGe7GZcXyQLsFBWxICiIBarICVn96t4OIJCRKR0Rg/6WonsQwx3qq/DgKIg9nswuO+DwmXGRERKZ/JiBEWv1Ug71VcYTH69LrVgQFEQ+4DiLnGLUzxmq8ChQCIihTJ5sPmrSKPRoFV03erNM5VGv16XWjCgKIjY5l6rqUvTrohTPABHUYiIlEp80+nJCApgay9xur5/yoWOAUVB7LvIajSuA0qYXitVfB86XRWQayMiIu+Ie/GIUzeNYUBxxICiIFJAaSRtazQaXJIeDwAoOFPp78siIiIvVRvNqK7f0DU6rPFW9wADSkMMKAoiLTEOcb3EWJQUW/dELqliMRURkdIcPl0Fi1VAy+hQJMU23uoegFSDcrqy1p+XphoMKAoi1qA0NoICAC0i61onl1azmIqISGkqas0AgPjIxtvci1rVB5nPfz/ml2tSGwYUBbGNoDT+zxJdvztmlYFFskRESlNlqAsoUR5O7wC2ERQA2HDojM+vSW0YUBTE0xoU+3OMFgYUIiKlqawPKNFuti1pqFWMbbRl7f7TPr8mtWFAURBvalDEPikGtrsnIlIcW0DxfAQlNjxE+vy9tYd9fk1qw4CiIOIISpgHIyhi4x8jG7URESlOZROmeDomRTt8LdYlXqgYUBTE4MW+DVJAMTOgEBEpjViDEuNFQNFoNMhOiZG+Liq7sFfzMKAoSFF53ZMxMbrxqm9xt2MGFCIi5RFX8XgzggIAVsG2UWBZzYXdRoIBRUEKS6oBAO0Soxo9V6pBYUAhIlKcpkzxAHW72otKqxlQSCHEJ2NClCcjKGJAubDnKImIlOhkWQ0AINnDJm2iS9JbSJ+/tfoA9hdXXLCbwjKgKIg4nBcXEdLImUBcZN05JVVs1EZEpDR/nasLKBkJkV5934xrL5Y+33TkHK7+1694e/VBn16bWjCgKIg3ASUppi6Vnyrnng1EREojvp4nRDX+em4vLjJE2pNH9O9VB6TPrXZTQOc77ybHyK/EJ3SsBwEluX4vngqDGdVGMyJD+U9JZO/nXUUwmK0Y2S0VWq1nu8mSMhnMFoTq3O/yriSCIKBcfD0P9y6gAEBaXLjDhoGpceFoN2UJgLq+Kp/e0xe9Mlq4+vbzBkdQFKKs2iQNCXoygmLf/Ce/oMRv10WkJgdPVaDdlCVoN2UJJny2BQ99sQ3tn/0J246dC/alUROVVhvR56WVeODzLQ63C4KAX/efxtlK5Y0iVxktEAc6PHnD2dBrN3Z3+Pqk3XLjSoMZU775o0nXtedkOS6btQpfbS6UbiurMeHX/acdinOVggFFIb7bflz63JOAYv9O4s+/yvxyTURKZ7JYseVoCUwWK/78qwy5b/4qe971727AO78cxDP/+wOCIODImSo8//0unCitQa2JheZKUGuyYNWeYlQb61a/mC1WnCitwf+2/IXyWjOW7ypGSZURZysNyD98FplTf8Id/9mIYXN+k+6jolYZq16K61tGRIbqpAUN3shOicXKx69weXx/cSXKZFb4CIKAWpNFeo4LgmPoeOKrHThRVoun/2cLOOMXbMQd/9mIm+ZvkG578cfduPM/G2EOcnEu5wUUIjLU1t6+RaRniXtodhJW7T0FswKTL1EgvLp0Lz5aV4Cbe7fBV5v/cnvu68v3AQD+a/fu8eMNRwAAd13WDs//rYvfrpPk1RgtWLz9OK7snIS+L68CAPRvn4DXb+yBmT/uxordxQ7n93pxhdN9nKk0oKLWhJk/7MbXW/7CtJGdce/l7QNy/a7sKCwFAGS2jGrytFTHpGisfWowrnh9jezxHjN/xsrHB6Fjkq2x2ws/7MYXG4/h+p6t8eWmQtwzMBOdU2Oxcncxbu/fFuV2AW7uqgMoqzFh67G6a916rBTtpixBekIECkvqRvPzC0owoGPLJl2/LzCgKIQYdC9OjYXeg1b3ANAxORqr9p6SOhYSXWg+WlcAAI2Gk8Z8vOEIA0qAfLSuAD/vKsJNvdOx9M+TWLX3lMPx3w+X4PLZv3h1n92e/1n6/KUle1Bwpgp9MxMw6pLWPrlmb+08Xg4A6NMuoVn30zYxCp2SY7CvuEL2uDhiOKBjIj67u58UuL/cVBfCxf8fALBsV5HD9765Yr/sfYrhBLD1cgkWTvEoRFX9sGZmq8abtImi6gtjxSFRoguJr1cziG3FS6uN+GpzISoNZuQfPuvxUv6KWhOW7TwpTRmZLFZOH9UrrTZi3Ie/439b/sKLP+5GfkEJnvx6h1M48ZWF+cfwyJfbg1afIr4mt/SgK3hjBme3avSc9QfPYtgc+enN5jgT5PoeBhSFqDbWvZBFhXq+Nbc4LVRp4IsgXXgmfLal8ZO8MGzOryitNmLQ7F/w9P/+QJ+XVuKW939HrxdXSF2e7ZktVhw+XSnN809etA0PfL4VLy/ZA0EQcO3cdRj8+hos21mEfUW2d8CL8o/h5wbvZs93z377J9YfPIsnv94R0J87ffHOgP48UVX967kvVldOHtIRd+a0bfS8A6cqm/2zGgr2XkCc4lGI3w6cBgDEeLEkTVwrX1RW08iZROeXt1cfwMo9xS6Pb56Wi7IaE4b+cy0A4KZL2+Do2WqM7tkaVQYzXv5pj9P3lNWYcMlMW41Djd3ox/A5v+J/Ey9DTLgeggCkJ0Ri2nc78eWmQtx/RXscOlWJtfvr/g9/9vtRJESFSsPy4uqTbdOvQmmNCc9++ycA4MirI5v5KChfrcmCuxZsxO+H/bPSMCsp2u0f5p/+LEK7KUvw7YOXoWcAl+X+sOMEACAqzPM3nK7EhIfghVFd8Une0WbflyvfTLwMbRMj0fullQ63n2RAIUEQpP/A3uy9kNmybjpo0xEuofTGvqIK7PirFFdc1AoFZ6rQLzMB+QUlyEqKRmJ0WON3QE3y/Y4TaN8yCl1bxzXrftYfPIM3fpafPweAQRe1QsvoMLSMDsO+l4ajstbs9O86oGNLTPm/P/CHhyvgqowWjPi3bbVIdkoM9taPiry39rDT+faNtUQ9X1yBD+/oLX1da7IgPKT5f8CUpKLWhLOVRrRrGQWrVUD29GVe30dGQiSOlVQjTK/Fn88PQ6heizv+sxHHz1Xjueu64I7/bAQARITosPzRQfj98Fnc9mG+2/u8/t0N2Pvi8IA83gdP2UbLlNqf6rnrLsZt/TJw7yebEarToldGPDQaDaaN7Iyislrc3Ccd+4oqcFFyTON35kfKfPQuMPbvLlLjPN+3oV1LW71K/uGz6Nc+0afXdb5yNVfbOj4C66dcGeCrqZsqsAiCtEP1+Sj/8Fk8/MU2APIjBxsLSrByTzGu6ZaKGqMFPTPi8ciX2xCi0+L+QR0QG6HH6HfW45xMgJ86Ihv3Xt4ee06WY8H6I3hy2EXSsTC9DmHRzo/rxWmx+N8Dl+E/6wuw5eg5p9UijdlbJF+02JhJi7ZKn1fUms+7gHLlP9fidIUBKx6rCw7e+vmxQWgZHYbvtx/HNd1TpU1RPxnfB4IAaLUaHHx5BJb8eRJ9MxOg1WpwWceWOPLqSKmRmSvfbz+Bm/ukN+n38saHv9kKU/tmNq9IVk5cRAhiI/QOxawNRYbqUG204PqerfH3nLZ4/L/bceRs3TRl/rNDpf2BPrunn8P32a9+CnY4ARhQgu5EaQ1u/eB36esHBnfw+HvtOxQePVvtUUD5eH0Bvt12HAvG9/VoU8LzjbuC4uOlNfh6cyHW7DuN127sjvUHz6BnejySvNzsyxuCIOC2D/Ox7dg5/PLkYLRp4d2+HUplsQrQ1XdvNVus2HmiXDpmtlix/tBZ9G+fgPIaM3YeL8P4jzcBAN7/tW404q7L2mH5rrrQ8OMfJ2V/Rmy4HlunXyWteuvaOg7/vLmHx9cYqtfigSvq/r9N+eYPaeWDP9nvPl5Ra3Jqaa52YvfTq/7VtIJN8Y/iXQMyHW7XaDQQV+vqdVrZ1TkL7+2Hb7b+hSGdkhCi0+CBz7c6HF+68yQ6JEXh0ra+Dw2iWUv3ODyPvN0o0J3P7umL5xbvwqwbuqFX2xYYM28DTpTW4EylYxH3fyf0R7/2iag2mhERooNGo0GnlBgpoPjymvxNIzTs5KIC5eXliIuLQ1lZGWJjY4N9Oc2ybOdJh/9I3s5LT1q0FUvqX8BT48Jxfc/WeHp4ttN5giDgo3UFeGlJ3dz7A1d0wJQRzuedbw6eqsT8tYeQnRKDewZmYv3Bs7j9I/fDwfZaRIZg24yrfXpNgiBg3cEzOHq2GtO+cyzi+1uPNDx7TWe0jA71eLm50vz5VxlueT8Pj+Zm4b7L2yP3zbU4dLrK6bwWkSEoqzGhqYtx9r003GejTmaLFXuLKvCvFfv9trKkoW8m5qBXRgvVtG9vzMrdxbj3081ef1/3NnHSVJsv63Jcjahsm34VWvjhzVmtyeI0pRWIOqODpyqR+2ZdrZWr3+3o2So8+t/teGRoFgZ3SvL7Nbnjzd9vjqAEWVUzV+BE2g0RnyyrxbtrDuHp4dkQBAF7iypw9Gy1U4toAKg0KKPjor+J/3EBSOFM9FjuRfjXSte1DABkpxSa6/Pfj2L64l2yx77fcQLf1xfY7XtpOEqqjNh6tBTDu6ZIIxJKU1Frwk3z83BldhKeHp6NZ775A9VGC175aS8+/K0Apyrklyo257H98aGBPp0S0+u06No6Dh/d1afRqYKG2iZG4uhZ51U+jRkzLw8A0C8zAX+7JA3XdE31yx/OQDhXZXQbTlY+fgU2HDqDuasO4uPxfbDzeBneXLEfL47uig0Hz3hcC+QNjcbWX8reU//7Ax/e2dv5QDMFa0l5x6Ro/D51KFpEhbj8P9E2MQrfPjggwFfWfAwoQWbfLCc9IcLr75fbh6e4vBb9Xlnl9vs+//0Yru/ZBp9sOIJOKTGYNKSj1z9bzZJiwnBNt5RGAwpQt+ncVRcno+BMFdolRnm98VxxeS10Wg1aRoeh2mh2GU4amrfmED78rQCVBjPm3HIJRvcMbNOpVXuKMWvpXrw2phtKq02oMta10L6uexoqjWacLK3FbwdO48/jZdhbVIG9RRX48Y+TOGa3JNdVOGmO7yYNaHahrTv/9+BluOHdDW7P6ZgUjWu6pWJ4lxRcnBaLJ77agW+2OjeLe2pYJ5yuMOD3w2dd1q3kF5Qgv6AE//h2J1Y+Pgg/7DiJ+wa1d9hvS8neXXMQs5ftc3tOx6RodEyKxh057QDUTceN7ZsBAOiV0QJbjp3DLX0yfHpdyx8dhMXbj2N4l1Rc9/Y66XZ3q7+ao6ZBQJk3rpdffo6cFC9qF9WEUzwyBEEIyLBrpcGMrs8tl77+8aGBXr/w/t/Wv/D4V469BexbFXvqqWGd0C4xChclRyNLAcVRvmCxCujw7E+yx/RaDf58fhg6z6gbkr13YCY+tOu62ND9V7THe2sP47Hci/BIbpbH11BtNOPiGXX/xt1ax+HP4017p3hnTlu8MKprk77XU/uLK/DEVzsw+cqOGJqdhI7/WCp7nliA529tWkRIG2gCwIxrL8YVnVqhQ6tov//s99YewqylezGyeyreua0Xth47hx2Fpbi9f1tUGy0I02udCly3F5YiIyESd/wnX+okOm9cL4zoloqislo89t/t+HtOWzy4cKvcj3Qy+pI0zBnbE0Ddu/PTFQakJyivRsmTEadgLqk2WazIknku92gTh4/H9/XZqNV/1hVg5o+7pa93vTAMUSoJmYHkzd9vBpQGPvj1MF7+aQ/uH9QeU6/p7NP7Fh0vrUFUqA6FJTVSsu/WOg4/PDTQ6/uyWgXsPFGGv7293mfXVzDrGtXPi+88XoZr31rn9pwjr47E9sJSLPnjBB4amoUTpTUYbrfxmCtDs5Pw4JCOuLRt430VDp6qcLmBnTeevSYbEwZ5XkDdFN5ObTRVVlI0wkK0+GbiZfjnz/ulwtiGtk2/Cj3t9l7xZc1JYyxWAdsLS9ElLdbrlTZFZbUY+34eslNi8c64Xk5Tc2+u2I+5MsuQXZk9pjsW5h/Fjr/K8P3kAejeJt6r6/GntftP4876Zb8NtY6PwPHSuoAZ7J4vL/6426Htu6hnRrzPpj4a/v8J9u+sVN78/VZnFZ6fbDt2Tmrg9N6vh/HjHydgtlixdv9pn+2S+eXGYxjw6mpcMnMFbnk/T7q9qUu6tFqNz1+wZizehSNnnIsa1cJotsqGk/xnh0orl8Tl3Jekx+MfIy9GbHgIslNikTf1SmybfpXb+1+19xTGzHM/BSBytxx198xhHt0HAJRUmfC3t9fhnV8Oevw9rtSaLFiz7xSqjWb88VcpTBYrdp0IzI7YnZJj8PNjg/DjQ5cjTK/Ds9d0xpFXR2LnC8Ow6okr8PZtdSMGeq3GYZv6z+/pF9Bl2DqtBpe2bdGkZcApceFY89QQzP/7pbJ1Q4/lZmHNk4OR2zkJrWLC8GMjb0ye/uYP7Kiv0fjb2+uxs4mjcL62KP+YUzj5YfJATBjUHlum5WLhvf0wNDsJ30zMCdIV2ky/9mLZ/2/bjpX6ZC+zDYfOOHz977GXNPs+iTUoDrYcdWx4NnnRNqTFheNEWS36t0/AlxOa/x9tyv/9KX1uP0w+bWTzRmsSokKd9gy5f1B7/HbgDGZcdzHGvl+3lHnCoPb4anOh24Zwn/1+FH8cL8PiSeorqgKAi6Y5D+fe2jcDybHhWDxpAN5csR8TBsnvdpoa510dkKvpQIPZgj0nKzB50TanY70y4rHgrr6IDNVj87Rc/LL3FFLjItyuLpq/9hAA4I+/ynBZh8RmdcWcsXhnszfX89STV1+E+wa1R6hO63ZULjpMj+hW0ejQKhr92ydCq9FAp9Vg8aQBOFpSjYFZwdtR1dc0Gg3atYzCh3f2kZZjx0XUrWjyxO0f5WP7jKtRXmtyaDUQSGcqDVJHXHtdW8eiW5u6aerE6DB8dFefQF+aS5GhetmN9/48Xoa+7RLw8+5i9GnXwutmjSaLFbd9YPu/e2dO26BtUni+4RSPnf3FFbjazfr9Q69c06yVFIIgIHOqc01EqF6L/S+NaPL9AnW1DlUGC0L1WmwvLMWADokOy1T3F1dge2Epbrq0jfSHQty4y9UL456ZwxHhxd5ASnDodKXU3tyet8OtW46WYPayfdBpNdhwSL7hVGJUKM7Wh8Jru6firVt7QqPRYNOREtw0P0/2ewBg5wvDZAsgK2pNmLV0L77bdhxLHr4cY9/PQ3G5c5Fpy+gwbJ6W69XvY8/bqZy/92+L1XtPISMhEnkeNt/674T+CNVrcXFa7HndgM5XistrMe7DfBz0cD+Vh67siLdWH0Sfdi3w9m29Atrbwmyx4p1fDjkUmCfFhOGhoVn4e//G94wJpopaEz7//RheW7bX4faYcD0qas24PKulU/Mydw6frsSVDV5vOLXjHmtQmuGFH3ZhwfojssdCdBo8dtVFeHBw01a8XPvWb1LxnL2nhnUK2ioaV6EJqGuEtWX6VQhRST+ObcfO4XqZ1RfX92yNf91ySZPu83SFAbd+8DtKq02N7uyZ2znZ5QqBmy5tg2FdUhAeonM7GiAIAgxmK8JDdFiYfxT/+FZ+szNXIacxDQuzG9MyOhTrp1wphYxzVUaHupCW0aFY98yVCA/RScFneJcUzP/7pV5f24XObLHiya93ID4yFB9vOOLx93VKjsGXE/oHZImy2WJF75dXOo3Avn1bT1zbPc3vP98XtheWYvQ7rmv2PH0jKvd/ic/9xjGgNFOtyYK/ztU49NCwt+ThgeiS5tlqm7X7TyM6TIfdJ8pll5c+fGVHPHbVRUEtSv3wt8NYvqvI5Z4+X9zXHzkdlN9G/6J/LIXRYnW4bf7tlyK3c1Kzm56ZLVaXq1oac3FqLH565HKvv89qFfB/24673AF2xWODsK+4AqE6La7uktLo/e06UYaRc90XDgPAwI4tcddl7dAqJgztEqMQF+k4jTBvzSG8tmwvBl3UCp+M7yM9d7cXluKzvKN4Zngnv3bfvRA8//0ur0IKAAzp1Ar/uauPX19LCkuqcfnsX5xu3zDlSqTFe98mIRjkRj2cznnlmkbbCciNRP729BBFrrRSEgYUH3E3FH74lWsgoK7WoOGGUNb61pjFFbXImbVa9vvn394Lw7um+uxafeHGeRuw+ahzSMlIiMSvTw8JwhV5p+G/142XtsHrN3b32Qv2+oNnMK6RTcnkvHVrT1zXo2nvLkurjQ477Nob3KkV1uyr20H3wMsj3I50uRsps3dp2xb4ZuJlbs8RBAGHz1Qhswk9YcgzVQYzujy3HGF6LX5+bBDu+3Qz9hd7Nv1ze/8MPH5VJ59uZbH+4BlMX7wT4y9r5/RGa82Tgx32BVODz38/ivAQncvwP/vG7ri5t23fHqtVwJkqA1pFh+Ef3+3Eovxjzvd5T7/zqlbKXxhQfMSTd5yhOi3ynx0qDa8KgoDR726A2WLF5CEdMdFFz4ODL49QXCtzg7mu18LA15zfISl5XlUQBLy6dC/es1uu+undfTHoolY+/TneLhlOiQ3H1V2S8dx1XZpVu/TDjhP4YuMxl7UwALB9xlWIj5T/g2Tfi6Uxaqw7Ol+JL81iwF534IzH2zT0adcCf7ukNbqmxTaroFrk6s1aqE6L/S83r34umGYv24t31xySPXbf5Zm4e2AmUuMi8PT/drgtLL+hZ2u82cRp5AtNUJcZz5o1C3369EFMTAySkpIwevRo7Nvn2GWwtrYWkyZNQmJiIqKjozFmzBgUF/unu19zdEmLw56Zw7FgfB9EuXjRNlqs0k6otSYLFm08hh2Fpdh1otxlOHn5+q6KCydA3c6vrjarqwlAY66m+njDEYdwAsAvU1Idk2Lwz5t64L8T+iM2XL7+o0d6PHq0icOV2Un49ekhmDmqa7Nb1F/XIw3/aWQ1RFWDfx9BEFBwpgqvL9/baDh54W9d0DI6DEseHshwoiB1G+TZnjsDs1riwzt6Y9UTV+DTu/u6/d5NR85h+nc7cf27G1BUVtus63D1HnZE15RGR9uU7unh2Rg/oJ3ssQ9+K0DOrNVoN2VJo6venvtbFz9cHfl8BGX48OEYO3Ys+vTpA7PZjGeffRY7d+7E7t27ERVVNww4ceJELFmyBB9//DHi4uIwefJkaLVarF/vWbOxYGwW+NWmQjz9zR+yx67rkYaU2DB8kncURrNV9hygrsPrc9d2wZDsJMXuqwK4n9qaNrKzw5bcStDwegNxjUfPVmH28n04drYaL43uih7p8X79eQDwad4RzHDRJv/hoVl4ZGiW9Lz6+0f5+O3AGdlz7d3aNwOzbujm0+ukwMmcukR2vxl7i+7rh8s6eD/1YDRbseHQGSzfVYQvNjru9Pzw0Cw8ftVFXt+nEh08VYHZy/bh591Nf5Os5BFmpVHUFM/p06eRlJSEtWvXYtCgQSgrK0OrVq2waNEi3HjjjQCAvXv3onPnzsjLy0P//v0bvc9gBJQ9J8sx4t+Ndxl1Ry2tj7/d9hf+t+UvtI6PkH3n8NX9Oeib6b8ty73VMKAsnjQgIIEhGH7eVYQJnzlv/iiaf3svp23mG8pIiESVwYxb+2bgyWGdfH2JFEBWqwCzVcClL65AhZuGY4M7tcLH492PupypNOCbLX9hzKVt0DI6DK8u3Sv132nofPyD/Mu+Uxi/YJPX3/fx+D5B3yFYTRTVSbasrK7rYUJC3R+0LVu2wGQyITfX1schOzsbGRkZyMuT7x1hMBhQXl7u8BFonVNjsfDefniiie8aJg7uoIpwAgDX92yDhff2lzb2auiFHzzb7M7fCkuqcffHzi8oLVzUYpwPru6SgrypV7o83lg4efPmHvjlycHYPC2X4eQ8oNVqEKrX4p839wAATB2RjeRY50Zja/adRrspS/BB/VRoRa0Jn/1+FF9utBV7Pvj5Vsxauhc3z8/Dh78dlg0nb97cA8sfHeSn3ya4BtvVrN3QszXe82C58P1XtGc48SO//sW0Wq149NFHMWDAAHTtWrfRWVFREUJDQxEfH+9wbnJyMoqKimTvZ9asWXjhhRf8eakeGdCxJdq0iMA/VzS+A6692HA97hmY6aer8p+urePQvU2c01bou04EPiDKkVvuOLxLCjISz+9lfqlxEdj74nD0eOFnGNxMKdqbNrIz7hmYqfo9lkje1V1SpN44X24qBCDfs+fln/Zg89ESLN9V7PC98REh2Hikbmf0w2eq8NKSPU7fO35AO9zQq41frl8J7P9vDM5OwrAGS/dHdk9FWbUJ3drEYdQlabgoKYar2PzMr1M8EydOxNKlS7Fu3Tq0aVP3xF60aBHGjx8Pg8HxP1Dfvn0xZMgQvPbaa073YzAYHM4vLy9Henp6QKd47G09dg6JUaEwmK1uO88CwMZnhyI2IqRJe3ooQVmNCbe8l+e0p8y13VPx9m2B2068oan/94fTvPi6Z4a4LPI9HxnNVvx1rhr7iyvxxFfbnQplgbo9ZdY8OZi9GS4gs5buwXtr5TdgdCU7JcbtvlFA05sDqsnBUxXYXliGMb1aQ6PR4OCpCryxfD8eHpqFi9MC/7fmfKSIKZ7Jkyfjxx9/xC+//CKFEwBISUmB0WhEaWmpw/nFxcVISZFvNhUWFobY2FiHj2DqldECbROjcFFyDLbPcL2x3PYZVyEpNly14QQA4iJCZPet+fGPkygsqQ7CFdVpGE4mDGp/QYUToG6LhPatojG8awp2zRyOh6907Eb8j2s6Y9XjVzCcXGDuyGmHuwdk4qeHPW8O2Fg4AXDehxOgbqXejXbbgXRMisH8v1/KcBIkPh9BEQQBDz30EL799lusWbMGWVlZDsfFItkvvvgCY8aMAQDs27cP2dnZii6Sdee9tYcwa+ledGgVha/uz8Ha/acxpFNSQFpPB4LZYsUd/9no1IejVUwYlj86yKcNoTy9Hvuurrmdk/H+3y+94IdbxaXFpyoM6JXRAqF65S1lp8DaUViKrcfOYc2+01i7/3ST7mPhvf2QHBuOjknRPr46uhAFdRXPgw8+iEWLFmHx4sXo1MlWhBcXF4eIiLpWyBMnTsRPP/2Ejz/+GLGxsXjooYcAABs2eLaFvdICislixdp9p9G7XQuXzbLUThAEDHljDY6cdR41uX9Qe0y9pnm7MXsj//BZ3FK/OzNwfq4oIPK1m+fnSXUmnlJiQ0lSt6AGFFdFeAsWLMBdd90FoK5R2xNPPIEvvvgCBoMBw4YNw7vvvutyiqchpQWUC8mmIyWYvWyv074900Z2xti+GX4dBj5ZVoNr566TdhAGPGvNTkR1I48nSmtx6HQlkmPDseTPE3jnF+eVOiE6DfplJuLNm3twTyXyOUX1QfEHBpTgMlmsyHKxcd63D16GPScr0DEp2qe9UvYWleOBz7Y4jeCocR8QIiU4U2nAk1/vwM2909GhVTRufi8PUaE6rH5ysKrr5kjZGFDI7x74bAuW7ZJfFi6aN64XerVtgeQG78LOVRkRFxHiUc2IIAiYsXgXPvv9qOxxTu8Q+YbRbIVVEBhOyK8YUCggJi3aiiV/nGz0vPuvaI+2CVHo3iYOep0Gw+f8hlGXpGHOLZe47cuxv7gCo99Zj2oX+wC9O64XrummrB2hiYjINQYUCoiSKiPGL9iIwnM1KLGrC/FUh1ZR+OGhgYgMratb2VhQgnPVRvRu2wKJ0WFu9wTaMeNqxEWGNPnaiYgo8BhQKOBm/bTHaUdhb3RtHYudxz3rULthypVIi49o8s8iIqLgUESjNrqwPHbVRXh4aFbjJ7rgaTh5bUw3hhMiogsAR1DI5xasL8DxczX4cF2Bz+4zs2UU/juhP1rFhHE/GSIileIUDymCwWzB3pMVmL54p7Th4N/7t4Vep8GC9Uc8uo+oUB0ev7oTbu+fgTA9VxcQEamZN3+/z//NFShowvQ69EiPxzu39cJj/92Oy7Na4eGhHbHl6DmPAsrBl0dAp9VwxISI6ALEgEJ+l54Qif/ZdXvt3S4Br9/YHVUGM/pkJqCsxoSXl+zBi6O74h/f7sSek+UY2yedLbaJiC5gnOIhRSkqq8XyXUW48dI2iLoAdk8lIrqQcIqHVCslLhx3XtYu2JdBRERBxjF0IiIiUhwGFCIiIlIcBhQiIiJSHAYUIiIiUhwGFCIiIlIcBhQiIiJSHAYUIiIiUhwGFCIiIlIcBhQiIiJSHAYUIiIiUhwGFCIiIlIcBhQiIiJSHAYUIiIiUhxV7mYsCAKAum2biYiISB3Ev9vi33F3VBlQKioqAADp6elBvhIiIiLyVkVFBeLi4tyeoxE8iTEKY7VaceLECcTExECj0QT7cvyuvLwc6enpKCwsRGxsbLAv54LAxzzw+JgHBx/3wLuQH3NBEFBRUYG0tDRote6rTFQ5gqLVatGmTZtgX0bAxcbGXnBP5mDjYx54fMyDg4974F2oj3ljIyciFskSERGR4jCgEBERkeIwoKhAWFgYnnvuOYSFhQX7Ui4YfMwDj495cPBxDzw+5p5RZZEsERERnd84gkJERESKw4BCREREisOAQkRERIrDgEJERESKw4ASJM8//zw0Go3DR3Z2tnS8trYWkyZNQmJiIqKjozFmzBgUFxc73MexY8cwcuRIREZGIikpCU899RTMZnOgfxXVaOwxHzx4sNPxBx54wOE++Jh77/jx47j99tuRmJiIiIgIdOvWDZs3b5aOC4KAGTNmIDU1FREREcjNzcWBAwcc7qOkpATjxo1DbGws4uPjcc8996CysjLQv4pqNPaY33XXXU7P9eHDhzvcBx9z77Rr187pMdVoNJg0aRIAvqY3hSo7yZ4vunTpgpUrV0pf6/W2f47HHnsMS5Yswddff424uDhMnjwZN9xwA9avXw8AsFgsGDlyJFJSUrBhwwacPHkSd9xxB0JCQvDKK68E/HdRC3ePOQDcd999mDlzpvR1ZGSk9Dkfc++dO3cOAwYMwJAhQ7B06VK0atUKBw4cQIsWLaRzZs+ejblz5+KTTz5BZmYmpk+fjmHDhmH37t0IDw8HAIwbNw4nT57EihUrYDKZMH78eEyYMAGLFi0K1q+mWJ485gAwfPhwLFiwQPq64ZJXPube2bRpEywWi/T1zp07cdVVV+Gmm24CwNf0JhEoKJ577jmhR48essdKS0uFkJAQ4euvv5Zu27NnjwBAyMvLEwRBEH766SdBq9UKRUVF0jnz5s0TYmNjBYPB4NdrVyt3j7kgCMIVV1whPPLIIy6P8zH33jPPPCMMHDjQ5XGr1SqkpKQIr7/+unRbaWmpEBYWJnzxxReCIAjC7t27BQDCpk2bpHOWLl0qaDQa4fjx4/67eJVq7DEXBEG48847hVGjRrk8zse8+R555BGhQ4cOgtVq5Wt6E3GKJ4gOHDiAtLQ0tG/fHuPGjcOxY8cAAFu2bIHJZEJubq50bnZ2NjIyMpCXlwcAyMvLQ7du3ZCcnCydM2zYMJSXl2PXrl2B/UVUxNVjLlq4cCFatmyJrl27YurUqaiurpaO8TH33vfff4/evXvjpptuQlJSEnr27IkPPvhAOl5QUICioiKH53pcXBz69evn8FyPj49H7969pXNyc3Oh1WqRn58fuF9GJRp7zEVr1qxBUlISOnXqhIkTJ+Ls2bPSMT7mzWM0GvH555/j7rvvhkaj4Wt6EzGgBEm/fv3w8ccfY9myZZg3bx4KCgpw+eWXo6KiAkVFRQgNDUV8fLzD9yQnJ6OoqAgAUFRU5PBEFo+Lx8iZu8ccAG677TZ8/vnn+OWXXzB16lR89tlnuP3226Xv52PuvcOHD2PevHnIysrC8uXLMXHiRDz88MP45JNPANgeN7nH1f65npSU5HBcr9cjISGBj7uMxh5zoG5659NPP8WqVavw2muvYe3atRgxYoQ0RcHHvHm+++47lJaW4q677gIAvqY3EWtQgmTEiBHS5927d0e/fv3Qtm1bfPXVV4iIiAjilZ2/3D3m99xzDyZMmCAd79atG1JTUzF06FAcOnQIHTp0CMYlq57VakXv3r2lOfSePXti586dmD9/Pu68884gX935yZPHfOzYsdL53bp1Q/fu3dGhQwesWbMGQ4cODcp1n08++ugjjBgxAmlpacG+FFXjCIpCxMfH46KLLsLBgweRkpICo9GI0tJSh3OKi4uRkpICAEhJSXGqABe/Fs8h9+wfczn9+vUDAOk4H3Pvpaam4uKLL3a4rXPnztLUmvi4yT2u9s/1U6dOORw3m80oKSnh4y6jscdcTvv27dGyZUuH5zof86Y5evQoVq5ciXvvvVe6ja/pTcOAohCVlZU4dOgQUlNTcemllyIkJASrVq2Sju/btw/Hjh1DTk4OACAnJwd//vmnw4vIihUrEBsb6/TiRPLsH3M527dvBwDpOB9z7w0YMAD79u1zuG3//v1o27YtACAzMxMpKSkOz/Xy8nLk5+c7PNdLS0uxZcsW6ZzVq1fDarVKIZJsGnvM5fz11184e/asw3Odj3nTLFiwAElJSRg5cqR0G1/TmyjYVboXqieeeEJYs2aNUFBQIKxfv17Izc0VWrZsKZw6dUoQBEF44IEHhIyMDGH16tXC5s2bhZycHCEnJ0f6frPZLHTt2lW4+uqrhe3btwvLli0TWrVqJUydOjVYv5LiuXvMDx48KMycOVPYvHmzUFBQICxevFho3769MGjQIOn7+Zh7b+PGjYJerxdefvll4cCBA8LChQuFyMhI4fPPP5fOefXVV4X4+Hhh8eLFwh9//CGMGjVKyMzMFGpqaqRzhg8fLvTs2VPIz88X1q1bJ2RlZQm33nprMH4lxWvsMa+oqBCefPJJIS8vTygoKBBWrlwp9OrVS8jKyhJqa2ul++Fj7j2LxSJkZGQIzzzzjNMxvqZ7jwElSG655RYhNTVVCA0NFVq3bi3ccsstwsGDB6XjNTU1woMPPii0aNFCiIyMFK6//nrh5MmTDvdx5MgRYcSIEUJERITQsmVL4YknnhBMJlOgfxXVcPeYHzt2TBg0aJCQkJAghIWFCR07dhSeeuopoayszOE++Jh774cffhC6du0qhIWFCdnZ2cL777/vcNxqtQrTp08XkpOThbCwMGHo0KHCvn37HM45e/ascOuttwrR0dFCbGysMH78eKGioiKQv4aquHvMq6urhauvvlpo1aqVEBISIrRt21a47777HJa3CgIf86ZYvny5AMDp+SsIfE1vCo0gCEKwR3GIiIiI7LEGhYiIiBSHAYWIiIgUhwGFiIiIFIcBhYiIiBSHAYWIiIgUhwGFiIiIFIcBhYiIiBSHAYWIiIgUhwGFiIiIFIcBhYiIiBSHAYWIiIgUhwGFiIiIFOf/AS7n1JlJUZu5AAAAAElFTkSuQmCC", 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", 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", 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", 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PPvN4e3R0NObOnYu5c+cGNCgiIqJQJgYfBi+Dj1ijFgBQyZkPAOztQkRE5LNTZfattt7OfKTEGgAAZyvNio0pnDD4ICIi8tGh05UAgG4ZCV4dn5kcDQA4WVqt2JjCCYMPIiIiH5nqd620jjc2c6Rdt3R7kLK9oFSpIYUVBh9EREQ+cux28XLZ5YJW9kJkzPmwY/BBRETkI18TTqM09v4uVvZ2AcDgg4iIyGeOrbZe1vnQ1fd3YfBhx+CDiIjIR74uu4i95Rh82DH4CAH3f7oddy/YCqGZzohERBQaLD4uu2jFZRe+zwPwscgYya+81oJvdhYCAE5XmJCWGB3kERERUXN8nfnQaZnzIcWZjyCrlTQZYkRMRBQeTHW+9XZhwqkzBh9BVFZtwVNf/e74na2WiYjCg6+7XcSEUxuDDwBcdgmqvs/+6PT7ydIatG8dF6TREBGRNwRB8DvhtI7BBwDOfATN8XNNS+zO/L8d6g+EiIh8UmcTIK6SG7Var+6jjbIvu9i4vA6AwUfQ5J+panJdSYUpCCMhIiJfiEsugC/LLsz5kGLwESTbCs43uS4lzhCEkRARkS/8CT7EhFMuu9gx+AiS0mpLk+vOVbHVMhFRqDtc39EWaFhOaY5j2YXBBwAGH0FTbWZzISKicPTqsv0+30cMPjjzYcfgI0iqTFaX13+1/aTKIyEiIl/EG33fKMqEU2cMPoLEXVvl99YcVnkkRETki6GdW/t8HzH4sFgFp+KSkYrBR5AUldU6LhslCUvSRCYiIgo94o6V6/pd4PV9xCJjALD24BnZxxRuGHwESYGkzsctee0cl00MPoiIQprFZn+f1nmZbAoArWL1jstin5dIxuAjCGotVtRIpt2i9Q1FasSqeUREFJrqrPaZD52XfV0AQKPRYEC7VgAAE5ddGHwEw47jpU6/i/u/AcDC4IOIKKTV1b9P632cwYjW2z9ya9nHi8FHMMz5YZ/T75LYg83liIhCnKU+58PbGh+iaJ19lpsJpww+guKi+qk3V7jsQkQU2sSEU70Pyy5AwxL7ERftNSINg48gSIl3LqN+YXay4zLr/hMRhTZxedyXhFOgYZb7cEml5wMjAIOPINh45BwAYGjnVPzr5gG4tGubII+IiIi85U/CKQD0uiAJAAuNAQw+gmLNgdMAgFNltRjTMwMajQbpiUYAQIxeC4EvTCKikFVXv9VW7+PMR2ZSNAB7obFIx+AjiE6cq3FcXvPICABAjcWKjzccC9aQiIioGeJuFaPet49QMUeEuX0MPlQnndWQvnCltT62HTuv6piIiMh7FbX29hgJ0fpmjnTmCD5YTJLBh9qkFUxjJAEHAPz50o4AnOt+EBFRaKmotQDwvcGcWBeE9ZwYfKhOjJgBwKBzfvrbp8YBAMrrX9hERBRabDYBG/PtmwYSon0LPsT3fAYfDD5UJ+1m23iPeGL9FF55jeuOt0REFFzSL4fdMxN9uq9BKwYfTDhl8KGySsnMx5s3XOh0W1JMffDBmQ8iopAkDRzSEow+3Zc5Hw0YfKiswmQPLDqnxTsVFwOAxBj7FF55DYMPIqJQ5Nhmq9VA42N+Hne7NGDwobIzlWYAQKKLtUJx2aWMwQcRUUhyFBiL8v3j06BjwqmIwYfK9hSWAwB6ZDVdK0ysX3apMlsdXROJiCh01NnE4MP3XYkGrX2Ho4XLLgw+1FZVn3CaEtd0rVA6GyLdFUNERKFB/GKo0/oefOgdMx9MOGXwobKa+lbKjWt8APY+AXEG+/VMOiUiCj0WP/u6AM45H5HeRoPBh8rE4CPaTVlecemFeR9ERKHHGsCyi7S8QqTPfjD4UJnJw8wHwFofREShzGLzf9nFKCksWVxeK9uYwhGDD5U5ll0MroMP1vogIgpd4m4XvR+7XaQzH68u2y/bmMIRgw+VOboh6tzMfLDWBxFRyAok4VQrWarhzAepqsbseeajVawBAHC6wqTamIiIyDviVlutHzMfUkY3S++RgsGHymqbyfm4oFUMAODE+RrVxkRERN4RS6Mb/Jj5kOqfkyzDaMIXgw+V5Z+tAuB+t0tqvL3+R2mNWbUxERGRd/aesheKbNyV3FtX9ckE4P4LaKRg8KGik6U1ELd2u3vhidnQ1fXLM0REFDpeX34AALD56Hm/7h9nsOf1ics3kYrBh4o2HD7ruOwuahaDj7UHzziWaIiIqGUQq5xGemdbBh8qSo03OC4nxxhcHiPdiiVO7xERUcsgNqQTu+NGKgYfKrJKptmSYvUuj7FJSu7q/SjfS0REymtbvznAV+KsNyuckmrEabaL2rdye4w0QNH6Ub6XiIiUIe3H8v7NA/06h17LZReAwYeqTHWeC4wBDdXzAOdAhIiIgkv6lpyZFO3XOcT3/0jP6WPwoSLH/nAPW7Skyy5ma2RHxkREocRpZtrPOh8Zifag5VQZK5ySSsR+LUYPwce43pmOy5YIn5YjIgolTsGHxr/gIy3RXsuJ5dVJFbUWK57/bi8AzzMf8UYduqUnAGBCEhFRKJHuUPE3J0+s8cScD1LF74UN22YNzexiMerFbOjIfnESEYUS6e5YnZ/Bh9jTxcTgg9QgXWppbrZO3GLLnA8iotAhx8yH+FnA4INUIQ0+mospxK1Ykf7iJCIKJWLOR5QG0PiZ89EQfHC3C6lA+kKV7hV3JSnGXoCsrMai6JiIiMh71vr3brFKqT+47GLH4EMl0oDD2kzw0SrWXnr9fBU72xIRhQqxDlMAsYcj589cZ2v2i2hLxuBDJeckgURdM7tYksXgo5rBBxFRqBCXXQKb+Wi4byTn9TH4UMkN729wXD7XzIxGrIEV8IiIQo04ax1I6wtp/l8kL70w+AiCoZ1TPd4u7gOvtUTuC5OIKNQ0zHz4H3xISy2YIvg9PqDg46WXXoJGo8GDDz7ouK62thYzZsxAamoq4uPjMWHCBBQXFwc6zhblzmEdPd4eXT8tV2PmzAcRUahoyPnwP/jQaDTc8YIAgo/NmzfjX//6F/r06eN0/cyZM7FkyRIsWrQIa9asQWFhIa6//vqAB9qSROvdN5aT3l4bwS9MIqJQU1HfIiPO4Pk9vDl19TMo2wpKAx1S2PIr+KisrMTkyZPxwQcfoFWrhvbwZWVlmDdvHt544w2MHDkSAwYMwPz58/Hrr79iw4YNHs5IUo7ggzkfREQhQ2wGl+FnR1uRuHxz/6fbAx5TuPIr+JgxYwbGjx+P0aNHO12/detWWCwWp+tzc3ORk5OD9evXuzyXyWRCeXm500+kE3M+qrnsQkQUMs7WbxZoHW8M8kjCn87XO3z22WfYtm0bNm/e3OS2oqIiGAwGJCcnO12fnp6OoqIil+ebM2cO/va3v/k6jBaNXQ+JiEJPtakOAJAQ7fNHJzXi08zH8ePH8cADD+CTTz5BdHRg006i2bNno6yszPFz/PhxWc4bSnwtJJOVHAMAKC43ObVwJiKi4Kk024OPWAODj0D5FHxs3boVJSUl6N+/P3Q6HXQ6HdasWYO3334bOp0O6enpMJvNKC0tdbpfcXExMjIyXJ7TaDQiMTHR6aelqfMxgIiVJDOxsy0RUWioqp/5iDMy+AiUT8/gqFGjsGvXLqfrbr/9duTm5uKxxx5DdnY29Ho9Vq5ciQkTJgAA9u/fj4KCAuTl5ck36jDj6+yFtHqe2WprdncMEREpr8pkz8OLN/I9OVA+BR8JCQno1auX03VxcXFITU11XD916lTMmjULKSkpSExMxH333Ye8vDwMGTJEvlGHGV9nPsSutgBgieAKeEREoYQzH/KR/Rl88803ERUVhQkTJsBkMmHMmDF455135H6YsGJtppdLYxqNBnqtBharAIuP9yUiImVU1ed8xDHnI2ABP4OrV692+j06Ohpz587F3LlzAz11i9FcF1tXdFFRsFitWLG3GFOGtFNgVERE5IvK+mUXznwEjr1dVFBn833ppKa+wNgTX+2WezhEROSHaseyC3M+AsXgQwV+xB5ERBRiHDkfXHYJGIMPFfgz8yHla50QIiKSX6VMCadv/Kmv4/Kq/SUBnStcMfhQQaCFwsys9UFEFFSCIKDKLG61DSz46Jqe4Lj8xo8HAjpXuGLwoQJp8HHH0A5e3Sc3o+HFWWth8EFEFEymOpvjvTzQnI8oTUM5BXOEllNg8KECsUGcLkqDJ6/q7tV93vjThY7LJna3JSIKKjHfAwi8vLpOUsvJVBeZ7+8MPlQwZd5GAPZiYxpJxOtJj6xER5l1znwQEQWXWHNJF6WBNsq793F3pPfnzAcpprTa4tf9xLLqtREaGRMRhQqxz5Z01sJf+kYtNCIRg48QFq2z//PUctmFiCioxDYZ0sDBX9H6hnOYOPNBocYx88FlFyKioLLWl0zQyjDzYZQ0C5XmkkQSBh8hzOgIPjjzQUQUTA05H/LOfARYiSFsMfhQ2N5T5X7fV3yBMvggIgqu4vJaAPaE00AZtPzo5TOgsO0FpX7fN1pnn/moYfBBRBRUt83fDAAoqg9CAuHtrseWjMGHws5Xm/2+rzjzYWLOBxERtSAMPhQm7csyrEtrn+7LrbZERC3TKxP6AAAuSI4J8kiCg8GHwqTTa3cO6+jTfaOZcEpE1CL1yEoEEHjvr3DF4ENh0qU9X7vTNiScctmFiKglEauc1jH4ICVIGwj5+hIz6jjzQUTUEom7ZsT6IZGGwYfCogKa+WCRMSKilogzH6QoDSQzHz6+xsTGctXmyKyAR0QUKsTE0H/e1E+W84nFypjzQYqwSiIOX19jaQlGAA3FbYiIKDhs9e/l7VPjZDmfWCi12mzF2UqTLOcMJww+FCaNan1ddslIigYAFJVH3guTiCiUiMsjWhkqnALOZdr/9fMRWc4ZThh8KMwmDT58vG+cUQcAMDHhlIgoqKwyBx/S81iskZfXx+BDYdJll75tk326r1Fn/+c5cqaKO16IiIKorj5AkG/mo+E82ggst87gQ2HizMeo3DTHMoq3DLqGf54FG47JOi4iIvKeOPMhR2M5AIiSnCcCYw8GH0oTZz6yU2J9vq9Y5wMAymosso2JiIh8I76XKzHzEYmN5hh8KExcyvPnBWuUzHxILxMRkboaZj7keS+WK4gJV/xEU5gtgGhZGnDotfynIiIKBkEQYLEqN/ORFKOX5ZzhhJ9oChOj5Sg/ptXkirCJiMh/laaGQo8J0TpZzqnTRqF1vL2WU7xRnnOGE366Kaxhe5bv902MaXhBtoozyDUkIiLygZhzZ9BFOdpeyGFo51QA3GpLCtiYfw6Ac5l1b2k0Gozung4gckvwEhEFmxh8yL08Is5uR2J/FwYfCtt7qhwA8PXOk37dX6+tbz4UgZExEVEoUC74EDvbMvggGUnLqfv7otXVr9eIyU5ERKSusmqFgo/6L5dcdiFZVZkbqpK+faN/nRB1jrbLkffiJCIKBUrPfNRF4JdLBh8KkpZE97cTovjifPH7fT43piMiosApFXwY65NXI7F9BoMPBZnq7LMVBm2UUyldX+gk22Q21SevEhGRepQKPqLrazn9e10+Kmojq4o1gw8FmeuDj0Cqk0oL0dREYHRMRBRsYvCRqNDMBwD8sKtI1nOHOgYfCjLV2YMFQwDBh3gOAIiLwEI0RETBVqrUzIck+Ii0cusMPhQkx8xHtSRpNRKTkoiIgu3EuWoAwAXJvnUmb060vuGzQdz5EikYfCjIkfMRQPAhTUQyR+B2LCKiYDtVVgsAuCDZ9+7knkiLT3Lmg2TTMPPhfzneYV3aOC5b6hh8EBGpTSwCZtTL+5EpnRXX+tH/K5wx+FCQmK8RyAt28uAcx+VILERDRBRsdTZ5O9qKBnVIafIYkYLBh4JMloattv7SaaMczYe47EJEpD5x5kMnc/CRnRKLmPqkU3OEzWwz+FCQGCwEOlWnZ4l1IqKgEStMK5GXIc5+HDpdKfu5QxmDDwXV1O9UCWTmQ3p/6bZbIiJSR8PMh/wfmWerTACAVftKZD93KGPwoaDHv9wFAAh0vkIsbCMWuiEiIvUolfMBAP1zWgEA0hPl3cYb6hh8KEQ6S3GwOLDptGQx+Khm8EFEpCabTYDYVkvunA8AGNDOHnxE2oYCBh8KOV1hclwOtCpecqz9/qUMPoiIVCXdhaJVoBCYmHAqLSgZCRh8KKREEnwEuuwiluCtZc4HEZGqrJLgQ4mZj1iDvW1GDYMPkkNJea3jsiHAaFmskBpp03JERMEm7nQBlMn5iDHY398jrXEogw+FnK0yOy5LOxf6Q9ztEmn7wImIgs155kP+j8wYvX3mg8suJAtpoNA2OSagc4l1Psys80FEpCppzocS7VdiDfYvpzXmOvlPHsIYfChEukTyl/HdAzqXY9mFMx9ERKqSVjfVKNB/RQw+qi1WCELkfMFk8KEQsRrpjRdlo3W8MaBziTMfv50oDXRYRETkA3HmI0qhrrMx9cGHIDR0Qo8EDD4UIi676AOsbgo0JDlVma0or+V2WyIitXyzoxCAcjl34m4XAKgyRc7SC4MPhYjLLnIEH+WSyqZFZbUejiQiIjm9vHSfoufXRmmQmWSvbrrnVLmijxVKGHwoxBF86OSdqjsn2UVDRETKUaufVr+cZADA/qIKVR4vFDD4UIiY8xFoUzkAGN8n03G5nP1diIhUId1mq6S2rWIBAKciaGabwYdCzDIuu0TrtRhc33bZwu22RESqUOv9VvySWhdBhSQZfChk4cYCAPIEH9LzSKvtERGRctSa+dDVV8GuU+nxQgGDD4Vk1ScQxRsDq24q0te/OFnllIhIHWp92RO/XG7KP6fK44UCBh8KEev0D+mYKsv5xBcnl12IiNRRp9L7rVhC4WBJJWwRMvvB4EMhYp1+sYBMoPQ6sb9LZNX/JyIKlg1HzjouL7xrsGKPU17TUN8jUgqNMfhQgNUmOF5A0gIygdhbaN///cySPbKcj4iIPJv1+U7H5Ys7tVbscYy6ho/i6gjp8eJT8PHuu++iT58+SExMRGJiIvLy8vDDDz84bq+trcWMGTOQmpqK+Ph4TJgwAcXFxbIPOtS9/uN+x+VYmWY+jpypkuU8REQUuiKlu61PwUfbtm3x0ksvYevWrdiyZQtGjhyJa665Br///jsAYObMmViyZAkWLVqENWvWoLCwENdff70iAw9l76w+7LgsjWiJiIgak+6qqbVERvDh05rA1Vdf7fT7Cy+8gHfffRcbNmxA27ZtMW/ePCxcuBAjR44EAMyfPx/du3fHhg0bMGTIEPlGHUaU6IJIREQth1XSzZYzH82wWq347LPPUFVVhby8PGzduhUWiwWjR492HJObm4ucnBysX7/e7XlMJhPKy8udfqipay/MCvYQiIhIAQKDj+bt2rUL8fHxMBqNmD59OhYvXowePXqgqKgIBoMBycnJTsenp6ejqKjI7fnmzJmDpKQkx092drbPf0SoSk80ynau24d2ANBQP4SIiFoG6bJLjYUJpy5169YNO3bswMaNG3H33Xfj1ltvxZ49/u/AmD17NsrKyhw/x48f9/tcoUAawX54+yDZzmsQt9pGUPldIqJIMLRzw06aGnNkvMf7HHwYDAZ07twZAwYMwJw5c9C3b1/8/e9/R0ZGBsxmM0pLS52OLy4uRkZGhtvzGY1Gx+4Z8Sec1VoaXjjZKbGynVcMPiJlDzgRUbDl1ReJTI7VK/o4f+jbsKz+xdbw/gLurYC3YthsNphMJgwYMAB6vR4rV6503LZ//34UFBQgLy8v0IcJG5WmhimzWL0822yBhl0zLK9ORKQOsbjjX67srujjSDcmrNp/WtHHChU+7XaZPXs2xo0bh5ycHFRUVGDhwoVYvXo1li1bhqSkJEydOhWzZs1CSkoKEhMTcd999yEvLy+idrpU1QcfcQYtoqLk2+kSUx/ImOpsqLPaoJOpYR0REbl2/Fw1AKBtcozij5Vg1KHCFBn5HoCPwUdJSQluueUWnDp1CklJSejTpw+WLVuGyy+/HADw5ptvIioqChMmTIDJZMKYMWPwzjvvKDLwUCXOfMQZ5alsKkqMaZj2K6kwIUuF/wxERJHsTIUJAJCuQqL/WzdeiKkfbUHHNnGKP1Yo8OkTct68eR5vj46Oxty5czF37tyABhXOxJmPeJmDD71kpuPVZfvx5g0Xynp+IiJyZqpP8I+WcQndnfREe4Bz5HQV1h48jWFd2ij+mMHEuXuZVZmVmfmQ+u1EqWLnJiIi+85FMcfOoMIyd7vUhg0KN8/bpPjjBRuDD5lVmewFYuTq6SKVWT/1N6p7uuznJiKiBr8ebuhoa9Qr/1GZEK3sjppQw+BDZkotuwDAnwZmOz0GEblnsdrwxvID2Hz0XLCHQmHo+e/2Oi6rMfMBRFYlawYfMjtfbQHgnCAqFzGgYfBB1LzPNh/H2ysPYuJ77ts7ELlTJynoqFaDULGSNQDsPlmmymMGC4MPma3YWwzAef1OLtH1SznSQmZE5NrRM1VOv/9v6wmsPRgZNRQocHWSkudqNQiVLu/cNr9l530olxUZgc5XmbH12HkAQHYr+YMPo6PKaWQ0HiIKhHSH2JHTlXho0U4AQP6cK9ltmpolY5kmr0lfs2cqzeoPQEWc+ZDRnlMNHXn7ZifLfn4jS6wTec2gbfj02FZQ6rj84a9H1R8MhR3xPVynYhSiVm5JKIicv1QFRWW1AIBofRQ6p8XLfn6jrqHKKRE5qzbXYeXeYpTV511JqwB/v+uU4/LflvjfCJMix+n6AmNzru+t2mMaVMotCQVcdpFRRa39TW9UrjJbYcX1QC67EDX1+P924ZudhQCAe0d0RkJ0w9vbzweY60G+EYMPsfiXGhrPfLTkVhoMPmRUXmvfhZIYo8zTKi677D5ZDkEQuG5NBOC9NYfxy6EzWHvwjOO6f6465HSMNHkQAMpqLPj2t0KM752J5FiDKuOk8CIWjIyPVu9jUt9o5uPng6cxUqEvs8HWMkOqICmvqd9mq1CxGOl2rx92FynyGETh5HSFCS/9sM8p8PDGK0v34a+Ld+OeT7YpNDJqbOORs3hrxQFYGwWCoer4uRoAyhSMdKfxzMeL3+9T7bHVxuBDRhX1Mx8JCkXK0v4Cy35n8EF0vtq/HQGfbCwAYK9i+dmmAjmHRG7c8P4GvLXiIBZtOQ7AvqSw9dg5WKyhl8O2v6jCcTlGhb4uIr3WeTb7UEmlao+tNgYfMiqvVa7AGOA8oxJJWdFEorOVJkz+9wZHbsf2gvMBn/PxL3cFfA7y3uNf7sJvJ0rxwvd7MeHd9Xjmm9+DPaQmvtl50nFZzeAjkpbS+QkmI3HmQ6llF6XOSxSqTpyvxovf78WhEvs30ee/24tfDp3F/Z9uBwA89j95Aod56/JhC5PlgHCz5sBpbDhy1um6P/zzF8z/5SiAhlmoUBJraJi9NqoYfEQSJpzKqELBvi6Ac+JT4wQ6opZme8F5XPfOrwCA938+gqMvjcdeSS2d57+Vb8vsc9/uQWK0DhPr+yeRPKrNdbj1P+FXqfPVZfsdlxMU7FDuDYvV5lR8rKVoeX9REDnaLyu0V1srKXajRB0RolAiBh5SZypNjsv/Xpcv6+OJ1YlJHmcrTdhy1LvndE0Ib4WOCkapU4m7F7TMpGgGHzISGxHptMq9WG8anAMAIZmkRaS0c1W+JZg+fEVXp997ZiW6PfZ8tRlHz1Rh7qpDjpo95L8Bz6/ALV7Oevx2vFTZwYQxsV9YS8PgQ0biUoiSU2RioqmZVU4pAvmy2Hj4xStx78guTtd52ua55sBpXP3PdXh12X48/+1et8eR/HaeKENJeW2whxGy2j/+HfIbNUoMdww+ZCQGBEoGHw1VThl8UMu1pH43i9T+ogoIPkQfWhfT5WerzGgd77qoWK3F5kgaX3fIt7ohFJgVe4sx6MWVWLr7VPMHt3AD2rVyef2I11arOxCFMfiQUZ2tftlFwTXClPpqjPNkXu8mCiXPf9c0mXTMWz83e7/R3dOaXPfCdb0cl4d1bo3Nfx2N+bdd5PE8DO79JwiC38vC0xdswxVvrsGCDcdkHlX4+L9pQ/DTQ5cGexiK424XGdSYrZj1+Q4Ul9uT4ZRsDhQl2QdurrNFVCMiihz+Liv+7ZpeOH5uMy7LbeO4bvLgdhjQrhXWHTyDiQOyodFoMLhjisfzqJVTVV5rQXmNBW1bxaryeGq455NtAVVgPlBciSe+2o0pQ9rJOKrwodNGqdpPJlj4ySWDhxftdPrPpuTMx7X9LnBcrqzf2kvUkmzKP4fz1d4lfF7f7wK8eUNfx+8psQYsmzkcs8d1dzouNyMRdw7riKRYe62cWIMOqx++zO151Qo++j+7HJe8vAqFpTVYf/gsfgzzysWr9pd4HXi0ivVct6gqgt/for2sLbJ09yncu3BbWH4WMPiQwXe7nNcplcz5aJNgRFx9rwGxlwxRS3Gm0oQ//Wu918cLAFLijI7fG5en9qR96zi3t1Wbrfh4wzEIviSZ+EFMUt9y7DwmfbAB0z7eipOlNYo+ppJun7/Z62Of+UNPj7e/vDR4fU3E19H82z0vzylFG6XBlidGN7m+pKIWn2w85gg2pi/Yhm9/O4V/rTms9hADxuBDAUputQWAhPpKp2JyHFFLMO2/WzDw+RU+3adzWjxskgBBzvbjT361GzMWbnNsoZdLSXkt/vzxFqw92FDbQhrkFJW1zF0fu/82Br5UD/e1WaBczHU2WKz2f4/sVjFBGQMAtI43Nrlu0Asr8dfFu/HsEueS9KcrTE2ODXUMPhSgdPFRsXEdaxFQS7H56Dn8uMe3egbX9bsAUy/poGhZ9O93FaHzX39oUh48EM99txfLfi/GzfMaamA88NkOx+Vw6fra2Oaj5zzeHm/UQSuJPqQlzF3JP1OFEa+tdvTMUssHa484LuuiQvMj8oddzktbwS6E5o/QfGbDnLgjRSli47odJ0plPe/6w2fx/S5udSN1LdhwDBPf836p5eOpg3D0pfF484YLEa3Xer0+7sqc63t7ddwdH3q/nOBKrcWKY2ftdRqKyjwvq5T62ak32Dz9G2Yl2RMopR+S/XKSmz1n/pkqfLJB3d4v3/7W8B4YawxuXxdxib2xClMdPvr1qON3DYC1B0+jpCJ8Zs0YfMigU5uGteMnxndHjJsXjFxO1a8Jv7J0fzNH+mbSBxtwzyfbUHC2WtbzEnnyxFe7mz1maOdUXHthFube1B/DurRxui2vo/22x8bm+vzYkwbl4JfHRzZ7XHNbb602AX9dvAtf7zjp8vbcJ5fi0ldX44Ofj2BzMyXHp328VfFcEzXF6LX45K4hAJyT8VvHG/HNvUObvX+Zyrlt0v5BwW7m6amp3dOSbsAr9tpn0q78+1o1hiULbrWVgdgG+ao+mbhzWEfFH69Q4TXhkopa5KS2nK1/FLpW7y9p9pgbBmbjL+O7IynG9QdBVJQGb93Yz+8xiN/KPbEJAkx1Vny/6xS+2HoCc2/qj2TJDOcji3biy+0n8cnGAqzYW4Jb89phYHv7dt71hxuWbF743rvKqbUWm+JfYuTkKVja9cwVjlwcbaOkjz5tk5s9d6VJveCj8RJeILNqcojyMklGLPNwpjJ8Zs0YfAQo/0wVDpVUAoAqgYdS2E6cguG2ZnZHdGwTh5f/2EfRMWi8eIMXBKDfs8tRbbYCAN5YfgDPXmMvXnaqrAZfbm+Y8ViysxBLdhbiz5d2xNV9sjDpgw0+j6nSVBc2wcf5KjNufN/137jmkcuckoAv6pCCn/aV+NT5+7cTZQGP0VsLN6m7xNMcf/KnbTYhLHJAuOwSgGpznVPJ21iV3iwGtfdcIMkfdQw+SAVHTlfi6x0nIQiCVwHv2wHMaMhNDDwA4PMtx1FlqsPS3UV4+QfXW0L/teYIrvrHOr8eK5xqXLyz+hD2F1c0uX5IxxS0S3XezvzqH/tg+qWd8LVkueXVP/bBny/tiD8P7+hUjVb024ky1epYrN4fWt11Hxnj+1LiO6sPobTajK3Hzof0l0rOfATgx9+ds/NjVJqie/H6Xhj9hr3UtNUmuOxh4atwzbCn8DLy9TUA7DVqTpY2v3zY64IkpYfkl1qLDT2fXqbY+avM4RN8nHXRafjhK7rilovbN7k+Nd6Ix8c5f6BOHJjt9HuURoPZX+5yuu6t5QfwxFU9Ah9sM6Q7a3IzEhR/vOb8cUBbDO6QgsykaKw9dAYpsQZ8sPaIU1JsY6/9eACv/XgAgL21wOTBoVkplsFHABrPFqg1TSotvWux2qCNCvxxLbaGhDpf9uIT+ePJr393e9v4Ppn4zsObqxLemzIAaw6UIDFGj/KaOnwa5On3KpMVpjorjLrQXnqx2QTsO9V01uPmvPZ+J2umxjXdLehqZkUJ0pmC1yb29XCkerJT7Pl3I7rZ+xa9NrGvx+BD6vPNxx3BhyAIXi0xqoXLLgFoPKWl1syHtJ+LWaYCSFYrZz4oRAThpTi2VwbmXN8Hs8d1x6RB2c3fQWGb8s+i9zM/4o0f5d3RJrdnv92DPZLdISJfcjoaG9U9vck2XLXK3VslibPih36o8SUJVsz9+HLbCfR/bjm2NFOLRU0MPgIgnfkY2K4V4gL4D+cLvaTwjUWm7pvSmQ+ThR09KXiEYEQfEkq2R/DWaz8egLnOhrd/OhTsoXj0oaTWhOjPl3YMaClYG6XBi9c511/ZcESdD03pe5+xBTTtFHfLzPp8J85XW/Dg/+0I7oAkwv/ZDaL8M5WOy9Mv7aTa40ozmf+9Lj/g8wmC4JTz8ZfFuzwcTaSc/9w2MOhVJdX6xusqudKV577do/BI5NW4qZ8/XK0OHD+nfP2hxJiGL5AtIfjYeuy8U3sAOfID5RL+z24Q7D5ZhsOnK/HB2oYP/mC9X767OrCGQp9sPIaBz69w2s529Gw17vt0e9hWWqTwtGh6HkbmpuORMd2Qnmj0q2iYHOKNOqx7bAQ2/WUUVsy6FEdevBJX9EiX/XEu756OLmnxzR43b10+istDq3JltbkOCzYcU/Uxh72yStHz7ysqd8ywTBqUHVL5EY29f/MA3HhRNvY/PxZX983yeOw8yRfU6BDKIWLw4aMzlSZc9Y91GFWftS/SQN0XaltJw6NAqiH+dfFunK0y488fb3W6fsnOQlz47HK/z0vUmLvqn6Le9TtbslNisWH2KNx9mXqziY21bRWLtMRodE6LR1SURraFoJG5aY7L8dE6/DhzOEZ3T/NwDzuzTMurcvnr4t0uK9M+d43nTrXecvd+evGclYo0UbNYbXjsi98cvw/pmCr7Y8jpip4ZeGlCHxh1Wrw+sa/H5Ngfdjf0gYkOodoxDD58lH+myvUNKgfJ0jfmVV5UifTXr4eC01mSWh5p87TGkmP1TtPcofats7MXMxTNOfjCODx9dcN2UV1UFDQajVdT4fd8si3gx5fL/F/ysXi7cyB5x9AOWP3wZZgyRNltnYVltbK3j//nTwfR/cml2CmZ/Q12ZVNfGHRRuKxbG7e37zhe6ricGK3DT/t8a+CoFAYfPnKX4Kn2W6V0+mzHceUqAN70742KnZsiQ53V5rHnxAOjumDjX0aFXMAhde+IzpjQv63f90+NM0CvjUJOSiyu7puFGy/Kduxae2BU12bvv+ukelU+m/O3JU1zUJ68qjvat46T7d/QU75FtcXq9jZ/vPbjgSZlE9yV8g9V3uanrD14Bnd8uEXRL6zeYvDhI3dbW9V+45RG5konRv2w61RIV8qj0Pby0n0ut2MCwIhubTD90k4hX88izqjDSxO864AL2Hd8SP3ntosA2N8n/jGpH16a0FAyvkdWIt6/eUCz55z+8VZVki79Iff7X/vWcZg8OAfTL+2E8b0znW5ToyxAOM18AECcwbedlr8cDP6MNoMPH9RarPh8y3GXt6n9nU2vbXhEpYOPuz/Zho5/+d4RgJyplH/NlVouaWK2aEC7VvjojkGYf/ugsOlhIu3IOrq7+wTUPw/viIcu7+Z0XXMfZpf3SMdz1/TEf24b6Liuf6NaF0t/L8LjX/6GSPHCdb3x+LhczJ3c36naqBqtINITjYo/hpx87eWiVt0UTxh8+GDO93vx/a4il7epXZCmb3ay47Ja26eufHstPttUgIHPr8BbKw6o8pjUMv3v7otxaVf369ShSKPRYNmDw/HlPRe7nKn4x6R++Pa+S/Do2FwYdFHY+sRox23NfUHQaDS4Oa89RuY2BDUGF/fZ66KaaCS4Y2gHx+X/bTuBAwpWPP1D3yxkJsU0f2CIemRMt2aPkas4ZSAYfPhgiZuStv++ZSA6tI5zeZtS0hOjcV2/CwAA56vVaTm9r6gCj9f3XHhrxUFVHpNaHm/eHENVt4wE9M9phagoDfY9NxYXtW+Fm4e0w77n7Fsee12Q5PgyIK1X4s8XhIvapyArKdrpuhQXpceDTfpFSCmNPyyvePNnp/oVcrqip/zbqtXwzNU9cGnXNph6SQd8d/8l6JmV6PZYSwhUtGbw4QN3bx+jFagB4A0xA3+nJJvZk1qLFZ9sPIbC0hoA9pK7RGq7J4hbaOUUrddi0fSL8dy1vVwvq0jeMHRa74OPpQ8OwyNjumHGiM5Ycp/zh4haVZTdcZX75U2+SqBqzE2TTH/ap0zSZLg22bxtaAd8dMcgROu16JmVhI/uGBTsIXnE4CNAf70y8Gp+/hLflEq83Pf+5ooD+Ovi3fjDP9ehpLwWsz7f6fH4QR1SAh4jBV95rQVfbjuBilp1ZsiaE8q7WuSUGK3DRe1boV9OMtITopu/Q73cjETMGNEZ0XotUuONuFKScBlvDE5+zOkKEy55+Sd0feKHJrdJG10qRdr+QSR+iZJbXQjMCsihdbwR39w71OVtX2w9geogd05m8OEDV+tkdw3v6OJIdbSOtydFeZsAuqr+m8KZSjMGvbiy2eOTw2y7Gbn2wKfbMevznXj0i98wb10+Pt/sOmlaCUoUhAoXGo0Gn/85D1/efbHPCYFSY3pmOC6n+RDEyGXtwdO46IUVOHG+RpVkT1duGNi02d8zS/ZgnQK7NqwBFG0MNX3aJmOs5PUjtafQ9Q40tTD48EFFrXOkeO+IzkEaiZ0YfJyrMnu1FdabKqwXJMfgjqEdMHN0V/TMSgp4jBRcgiBg1f7TAOyVDp/7dg8e/d9vqmS7P7JoJy56YYXijxPKNBpNwDM9ndPi8dRV9uJkwfjwv3neJre3ie9BSkuNNyJ/zpVNrp8ybyNu+c8mv5dKGueNxBm0ipTSD6ZXJ/ZBpzZNcxKPnQ3utm0GH16w2YQmswsPXd4VDwc5cU5MPrPaBJTVND+l7s17oEYDPHV1DzwwugtCoLknBajGTUGmE+drAirL35yyagsWbWVOkVzErfVLdhYGeSTOOrRWb5efRqPBB7cMbHL9zwdOY+eJUp/PV1xeiwHPOwfH2566HMmxoZfUG4iEaD1uvbh9k+sLglwzhh8vXvjL4l0Y2OhFGsy+EyKDLgqJ0fYEtLNVJizdfQqfbSqQ7fxd0hOaP4hCmrudUCNeW403liu3XfrYuaZtCJJi9HhvivLJiS2S5JvDP1YexMYjZ3GopNLDHdSh9kTM5T3Scf+oLk2u97UJZnmtBZM+2NDkS1uoF7vzV2J00yX0YBesY/Dhhc9crJHrQmRaILE+L6O8tg7TF2zD41/ucvuicjf9+/akfo7LMZKs/eamH5VIYCwur8Wf/rU+5L7hhaOzlSaPweg/fjok+2PWWqz4esdJnCpr2oX16xlDMbaX6/Vn8qy0quHD9fXlB3DD+xsw+o01Hu6hDiVnz9y5vr7EgNQdH25ptnGh1NQPN+PIaTd9ulogV//vjjH4oEDE12+9K5N8wz1X1fRbgCAIKDjr+j/boPYpeHtSP+SkxOKtGy90XK/RaDB5cI7bx+79zI9Y5Kbiq7+e/24vNuWfw32fbpf1vJGm1mLFgOdXNBtg7CksR63FCkEQZNli+Ny3e/DAZzuadEkGgLQwqxoZSmrr5O1n4g1TnRX/XX/U4zHByD9t76am0gOf7UBxuXPQu3T3Kfx77RHUWqyY8u+N+PfaIwCAzUfPKz7OUBKt1+K+kfYcRTH/I9jLLsHdNB4G3HaxDRH7iuyV/qRllwXYg43fC8vRsU0cYg06/OOnQ6hysVcesFdf/EPfLPyhb1aT2x6+ohs+2ej+2/MjX/yGFXuL0SsrCfeO7Ox3cp25zoa9p8pxJoJ3RwRi89FzePKr3Xj2ml7o1CYOj/3PuzLcV769FveN7IxtBedxqrQWSx8c7rKyprcadzsVPT4uF7E+9p+gBrUW9StSjnnzZxxtJikxGDMfAHBVn0x866Lo430Lt+Pz6XmO36cvsHcD3ldUgXWHzmDdoTO4c5jrHYqLJPdrie4f1QWXdG6N3MxEFJytRnZKcKu48t3Ag72nyjHOQzfOUFJc3vChbRME/LinGH/+eCu6ZyaiU5s4l/9RH7q8K5Jj9WjloWpiqzgDuqbH40Cx+/XlZb8XY9nvxTh8uhJv3djP7XGePLRoJ5daAjDxvfUAgD/9a73P95XOjuwuLEP/nFZ+j8Nd6Dn90uDnSIWzWpk7uXqjucADsH/RCYZ/3tQfPbMO4+Wl+5yu33T0nMvjj5xuPj+mXaq6LTLUptdGYXDHVABA77bB38nIZRcP3AUeKx+6VOWRuOcqL6PWYsU3O+wf5HtPlbsMPP5398W4b1QX3JzXvtnHePOGC5GZFI3XJ/b1WM3wqx3+Bw8MPEJDoOW/QqFsc0vU1U3yt1LdplfuLfbqOFsQa2LcfVknTHNRZ0mcjZFuJ/dmi3K4dbINdww+fPT3Gy9EpzbxwR6Gw00ucjJqLVbkNBPFX+hDP4aeWUlYP3sUJgxoi8t92AP/8YZjWLrbHvjsPF6K1fsbyiELggBTM+vYSjaPItcCqUmx43hpSDSsaoluGpyDbi4CkBs/2NAkz0EOUz/a4vL6xfdcjDWPXOb4Pdj1uFy1kj9bn/MmnS2SVi09cd71jE50C93pEqq47OKjUKv7f0Fy03W7WovNY3XS96b097sTbnMfTsfPVSMt0Yj5vxzFSz/Yp0SPvjQe18z9BQCw7rERaNsqFtM+3opfD51BjEEHd0PZU1ju9hsfee9PA9vi8y3e1dwI5PV9bf2/MclPr43Cny/t2KQlwqb8c5i+YCsW3+O6jLavthecd/t/fPLgHPRrtCQX7LfDWEPTgOGN5QcweXAOTp5vKL8unQW55OVVLs+l96H/DgWOwYcLdVYbOv+1aQ8DAF4V81KTq266FqsN5jr330ADSShszrBXVmHa8I54/+cjjuukU8NrD57BpEE5WL7HPq3rLgkWAB78vx3IzUxAboa9h83R+uTf5Fg9rDYBqSpVVwx1G4+cdXvblCE5GN093evgw9PrhoLL3azj9oLSgM77e2EZ0hKiEWfU4rp3fnV73AvX9W5yXbASTkWuGvYt3FiAhY2S5KtMzfcxiZSeQ6GCwYcL6w657heQkxLrckdIMOm0UcjNSHDsegHsHyCepr8rTYElrxm0UR7PLw08AKBK0sBo9pe78POB014/1ti31mLn01fgv78exeuNimLte24s12kBPOphZ8tz1/TClmPebyuc9MEGbHlitM9ls5Vq8kUNEqL1mDIkBws2yFdI8EBxBca/vQ4AMOf6psGFO7EGLarNVuR1SpVtLP7wtihYhYfgo2t6PLpluG8/T8pgzocLt83f3OS65TOH4+dHR4Tkt+2MJOdmU4988ZvHhl66AJpcAUBSrG8N5xr3xPlhd5FP97/x/Q1NAg8AKCnntlzA87+nRqOBwceCeI97sU133cEzjrXznw+cxsUv/eTTY5B/nr/W+wChOXVWGx6SLOPM/nKX1/dd9uBwPHVVDzw6Jle28fjD6OUsrqeZj2UPDsc/Jvm3S4/8x+DDS+1SXRe2CQUxLr79u6rKGm/UYeKAtgE3Tup9gW/btH47URbQ4+095br7ImdJ7Qwuvv1d3iMdy2cOBwD0yEpEx0aNpfrnJLs934q9JdjiZssiAKw/fBZT5m10rJ3P/yXfj1GTnPzJ1Vm8/SR2nfTv/2Z2SizuuKQDYlzkXKgp2csvQu6enjuGduByS5Aw+GjE3X5wJfMkAvX4uFy0jvfcDOn6/hdg+1OX49WJfQMuDf+ii7VfT6YvaFrtUg7DXlmFm+dtlG27YeMOl+HC1be/4V3bOHrz6LVRWD7TeXt4cz1W/vjeere1JTbmO+eYxBldr95e1ScTAJCbwaRhpW0r8G5p7e8rDuL+T7fDZrMXIfSWvwnqSru0axsMaOdfXZofZw7HU1f3kHlE5K3Q/UQNkpMu1q5XzBoehJF4r11qHDb/dbTHY97404XQy9SPJiMpGjueuhzPX9tLlvMFYu3BMzhQ4t+W3FqL1dGf5kBxBfr87Ue8vfKgnMNThavgY0S3Nk6/a6M0eGdyfwDA6xP7evVaaLxcJpLGehW1FqedBFJ/v7EfVswajq9myLMTg+zuHdG5yXU7j5fix9+LUFLhedvtmysO4Judhfjl8Bm3/26u/PzoCJ/HqQadNgofTx3k8/16ZiWiS1rolEyIRAw+6u0pLMegF1bgnk+2OV2/65kr0Dkt9L+5qT11mBxrQGfJf97MRnknahr71lq80qjSoTdGvLYavZ/5EZWmOjz37R5Um62KdnpViqtAom2rpnVeruydif3Pj8WEAW1d7hJozN06uXSHw18W73a5QyavYyq0URp0TktgUrDM7h3ZNPh4/ru9mPbxVgx6YSUOuqmPI12aWbz9pMe2CQCQIJnRcrWlP1TEGnR4bWJfvDyht1fjjDVo8d39w7jcEmQ+BR9z5szBRRddhISEBKSlpeHaa6/F/v37nY6pra3FjBkzkJqaivj4eEyYMAHFxd5VywumK99ei5IKk9O3vemXdkKCi1bEZCcttibXrIrUoPYpXh/7zurDWL2/BAeKKzxu/5MWNhM7r+46UYa1B513OAmCgEVbjuOGf63H+sPut7IGW43Z2mR3lqeeDeLuAG/+vV74fq/TcykIAr79rdCp39GSnYU44qL/0YQBbZs9P/mnuWDu8jd/Rq3Fig1HzjpmNwRBwDurGsrof7mt+Q6wj47tBgCYGAb/ln8c0BY3XJSDfh5ymUTLZ4VOhepI5tMnxpo1azBjxgxs2LABy5cvh8ViwRVXXIGqqoY3n5kzZ2LJkiVYtGgR1qxZg8LCQlx//fWyDzxQJ0tr8MJ3e3D8XDU+dtO58ZEx3dQdVIB83R4ZqDYJRvzwwDD8/MiIgHbQ5M+5EgvvGux03T2XdcKL1/u2rHPb/M244s2fsURSTn57wXms2mevrLpoy3F0e2Iplu4ucvoWuK/Iee37fJUZ/11/DI988Rs25p/Drf/ZhCOnK3HrfzZhU777RMxgWLmvaWD/wS0Dm72fN8HH8j3FTt+Ol/1ehHsXbm9Srv9Yox4gT4zvjgn9m7Y9J/k099706Be/4cb3N+DN+pm8R774zeWOMU+mDGmHZQ8O92kLbqi7MDs5pGdxIolPdT6WLl3q9PuHH36ItLQ0bN26FcOHD0dZWRnmzZuHhQsXYuTIkQCA+fPno3v37tiwYQOGDBki38j9tL+oAluOncPCjQX4vbAcH6x1n6kfqklW7vz3jkF4eek+rKmvo3FBcgwuSI7Bg6O7KPaY3TPt++O9mcZ3R6PRNElufHRsriMfw1cf/XoUf+ibBUEQHEWT1j02Ao98Yd9COn3BVqyVrGH/bckep/uPeH01SqsbHttstWHk62sAAGsOnMZXM4b6VJ5eCVabgCv/vhb7JVPsz13TE1OGtPNqOln62p4xohPmrjrs8rgnvtqNb3YWYkeB96XTb87zbgzkv3su64SVe4uxzU2BsW/qeyX9e10+OqfF44ut3hWZE70+sS80Gg26hVmycHOBBauYho6A5srLyuzbtFJS7NPjW7duhcViwejRDcmPubm5yMnJwfr1rrttmkwmlJeXO/0oacxbP+Ovi3f7lOkdLnpkJeKjOxqSr7qkx+Pz6Xm4uHNrxR/7hosaeszceUmHZo9vPJXraiuzvzuMNADyz1ThstdWO64rKnNOxBv2iusSywCcAg9Xrp37S5PZErXtPVXuFHgA9l0n/nzo98hMwg0Ds93evin/nNeBx7ThHb0u/ET+02g0+GL6xS6TT6XijbomJdmb8+ldQ8J22ezekZ1xzYVZuCWvncvbnwuBJHmy8zv4sNlsePDBBzF06FD06mX/By0qKoLBYEBycrLTsenp6Sgqcl1Yas6cOUhKSnL8ZGe7fxNU0+sT+wZ7CAHLSVGvRfRtF7fHJ3cOxm/PXIEnruqBz6Y1zHL97Q898fHUQcjr2FANMT7aedKtU5t4xyyKyNfiWKItx85jxGurnZYDjpxumpcQiLmrDkMQBFisNp92DSjJ3x3HNkHAVX0zZRnDyNw0Wc5DzYuK0uD+UZ5nNc/VN1nzVnqiMehVSwOREK3H32/sh7/9oScWTc/Dticvd7o9l5VMQ4bf5dVnzJiB3bt3Y926dQENYPbs2Zg1a5bj9/LyckUCkEMlFZjy701eHdu3bVLYRv4AsGDqYHy5/QQeuly9nBVtlAZDJTMsQzqm4uhL452OaZcSh2kfb8G04R0dfVqkhndt7VRQTM6pe08lyP2xZGchltRPbWcmReOXx0YiSsVlOlcdgf2dUrYJAoZ1aYNv77sEi7efxLx1LBoWLuSuPzT3pv6yni9YNBoNLvIhYZ3U59cr995778W3336LVatWoW3bhg/pjIwMmM1mlJaWOh1fXFyMjIwMl+cyGo1ITEx0+lGCQatFkZetp6cO66jIGNRySZfWeONPF/pcBl1pOamxWPrgcFzfvy16uaiS2jquacLs6ocvw39uG4gtTzStYzJjRCdFxumrU2W1KPczP8VfJkvT2ZaxvVz/H3OnU33VUzFo7HVBEp68qgfeDqDUdEqc52J3JL+xPX37d3fnf3fnYWAL/MCeNMj+ZXbm6K5BHglJ+TTzIQgC7rvvPixevBirV69Ghw7Oa/sDBgyAXq/HypUrMWHCBADA/v37UVBQgLy8PPlG7YeEaM9/6szRXXHnsA6oMtchLSF4NSsixeU90vHM1T3QUxKETBnSDpuOnnPq3tm+dRzaN+rce2teO/xxQDZyMxPcJkrKIVofhVoXH/KuqNFa/JudhSitNuOWvPYwNaqt8frEvj7nWix9cDhqLFYkNtpOHu3nt+knxndH1/TwSlBsCd67eQDaP/5dwOcZ0K7lBR6AvbnilCHt0J1LLiHFp+BjxowZWLhwIb7++mskJCQ48jiSkpIQExODpKQkTJ06FbNmzUJKSgoSExNx3333IS8vL+g7XRrnGDR2SZdUxBl1bktFk7w0Gg1uG+ocvMYYtF5tEzXootC7rT1oubRrG8fuHrntfXYsai02fLD2CP7x00FYrO4jDDVa0d//6XYAwPAubZrsDrrej62tem2Uyy23rmalmrP/+bFMNA0BE/q3xf+2ed7ZkpUUjaUzh6PPMz+qNKrg0mmj0DPL99c0KcunrzjvvvsuysrKcNlllyEzM9Px83//93+OY958801cddVVmDBhAoYPH46MjAx8+eWXsg/cV83VNfBQl4pCzBBJ4uo7k/tjQn/583OeGN8dGo0GMQYt7h/VBQdfuNLj8eY6m1/NvbwlLfZ12WurndoA/PzICFnzY7KSY/D9/cMwbbj3y48MPEJDbkYCXmsmWV6r1TSZ7Zp/+0VKDouoCZ+XXZoTHR2NuXPnYu7cuX4PKhjUmDanwPz8yAjsKyp32lERZ9Th1T/2Qb+cZPTPaYUr317b5H59s5Ox83ipy3PeNaxDk1ovjRNlRSlxBre7BxZsPIZPNxbg9ks6YNbl8q8tN551ef67vQDs6/05qfLvauqRlYjfTpTKfl5S1gWtYnBl70ys2leC73adcnlM46XESYNyMKIbdymRutjbpV47Bd7ASV45qbG4omdGk2/5UVEaTBnSDj2ymq7pHn7xSnw9Y2iTzqpZSdEY3zsTj47NxaqHL8M/b2o+yfL1P7n/Rvn+z0dQYarDBz8fwY7jpbLXAamzuV7WyVCwp84fLsxyef3QzqlOW6kp+N6/eQCmX9rJkXwqrcvyzb1DHUmXAPDXK7sDAEbVB/E3D3FdE4NISRGf4PDTQ5eiorYO6YlMMm1ptj15uaOS54I7B+Pfa/OxZGchSipqsXjGUMe/eYfWcejQOg5ZyTFIjnG/Q0hap8SdGosV1879BQBw5MUrZdt+6y7fJMnDeAMVa9Ahf86V6DD7e6fru6YnoG/bZMUel3x3Rc8MXCHZ9SJttdCnbTL6tE3Gi9f1xulKkyOh/oNbBqK81oLkWO5QIvVFdPCxYOpgdGzDtsot0cQBbZ22fbaON+LxcbmYdXlX1NY13eEBAP1zWnk8Z7ReiyfGd3cseTSnrMaCVjJtPa1zU8hM6dVC6SxTeqIR43pl4qEruiHGoMW+58Zi5d4SdEnn/6FQ88iYbjhbacKfJJVrNRqN006+qCgNAw8KmogKPhbeNRhvrTjoaA52SRfly46TujKTonGqrBZX9XW9ZGDQRQVUmMmX+56pNMkXfLhJSvImDytQqXEGnK0y4/FxubiuX0Nyb7Rei/F95KmMSvJKiTPgfS92jhEFS0QFHxd3ao2LO7XG5qPnXH7zpfD3/f3DcORMpWI1C3wpz3y60oQuMtS9EAQBG91001Vjl9bSB4djd2EZLuvaRvkHI6KIEJEJpxe1Twm7bo3knVZxBkWLJQ3q0HDurKRojzkX0z/e6ndnXqlpH2911PhoTO7y2q60STBiRLc0dqolItlEZPBBJIdr+12AnU9f4fi9bSvndt7ltXWy9ElZvqe4yXWD2qegU5s4t907iYhCWUQtuxDJ4YvpeVj2e5Gjo+hNg3Ow60QZxvbKwKvL9jsdW1JhUmQMn08PbrsCIqJAMPgg8tHA9ilODbhevK43AODrHSebHLtwYwFW7i3G8lmXep1nVGWqw/aCUgxs3wqLtnoulU1EFI4YfBDJJMNNrZjichMunvMTPps2xKu+KdMXbMXag2eQkRjtshPzqFxWoySi8Mbgg0gm/ds11AnRRWmctsdWmupw1T/W4ZfHRyJKA3y6sQA7T5QhKUaPt264EP/5JR+LtpzAgjsHY+3BMwDgMvD4180DMLp7epPriYjCCYMPIpnotVHY9JdR2HOqHIdKKl0WIxv60k9NrvvjgLaOY//x00G35//5kRGK9HEhIlIbgw8iGaUlRiMtMdqnRNPTkmP/u/6Y2+OMem5OI6KWge9mRApIjPY+rn/xe+/KtccY2LaeiFoGBh9ECkjwoYLu2Spzs8c8c3UPVuUlohaDwQeRAhJ8mPloTpxBi9uGdpDtfEREwcbgg0gBsTIukaRK2qMTEbUEDD6IFGDUyRN8RGmA96YMkOVcREShgsEHkQLatorBpTJ0gT0yZzx6ZHnfSZeIKBww+CBSgEajwUd3DMID9f1fvHXg+XGOy5d1Ywt7ImqZWOeDSEFC84c4MeiikD/nShwsqUQ7FhQjohaKMx9ECvpD30wAQPfMRIzvk+m4fsqQHLf30Wg06JqeIFveCBFRqGHwQaSgzmkJ2PTXUfjm3qEY3KGhE+79kuWYmwbnIN6ow6t/7BOMIRIRqU4jCIKvM8OKKi8vR1JSEsrKypCYyEQ7ajnqrDb835bjGNIxFZ3axON0hQnxRh1iDFoIggCNRhPsIRIR+c2Xz2/mfBCpRKeNwuTB7Ry/t0loqN/BwIOIIgmXXYiIiEhVDD6IiIhIVQw+iIiISFUMPoiIiEhVDD6IiIhIVQw+iIiISFUMPoiIiEhVDD6IiIhIVQw+iIiISFUMPoiIiEhVDD6IiIhIVQw+iIiISFUMPoiIiEhVIdfVVhAEAPbWvERERBQexM9t8XPck5ALPioqKgAA2dnZQR4JERER+aqiogJJSUkej9EI3oQoKrLZbCgsLERCQgI0Gk2wh6O48vJyZGdn4/jx40hMTAz2cCICn/Pg4POuPj7n6ovk51wQBFRUVCArKwtRUZ6zOkJu5iMqKgpt27YN9jBUl5iYGHEv1GDjcx4cfN7Vx+dcfZH6nDc34yFiwikRERGpisEHERERqYrBR5AZjUY8/fTTMBqNwR5KxOBzHhx83tXH51x9fM69E3IJp0RERNSyceaDiIiIVMXgg4iIiFTF4IOIiIhUxeCDiIiIVMXgQwHPPPMMNBqN009ubq7j9traWsyYMQOpqamIj4/HhAkTUFxc7HSOgoICjB8/HrGxsUhLS8MjjzyCuro6tf+UsNHcc37ZZZc1uX369OlO5+Bz7ruTJ09iypQpSE1NRUxMDHr37o0tW7Y4bhcEAU899RQyMzMRExOD0aNH4+DBg07nOHfuHCZPnozExEQkJydj6tSpqKysVPtPCSvNPe+33XZbk9f72LFjnc7B59177du3b/J8ajQazJgxAwDf0/0RchVOW4qePXtixYoVjt91uoaneubMmfjuu++waNEiJCUl4d5778X111+PX375BQBgtVoxfvx4ZGRk4Ndff8WpU6dwyy23QK/X48UXX1T9bwkXnp5zALjrrrvw7LPPOn6PjY11XOZz7rvz589j6NChGDFiBH744Qe0adMGBw8eRKtWrRzHvPLKK3j77bfx0UcfoUOHDnjyyScxZswY7NmzB9HR0QCAyZMn49SpU1i+fDksFgtuv/12TJs2DQsXLgzWnxbSvHneAWDs2LGYP3++4/fGWz/5vHtv8+bNsFqtjt93796Nyy+/HBMnTgTA93S/CCS7p59+Wujbt6/L20pLSwW9Xi8sWrTIcd3evXsFAML69esFQRCE77//XoiKihKKioocx7z77rtCYmKiYDKZFB17uPL0nAuCIFx66aXCAw884PZ2Pue+e+yxx4RLLrnE7e02m03IyMgQXn31Vcd1paWlgtFoFD799FNBEARhz549AgBh8+bNjmN++OEHQaPRCCdPnlRu8GGsueddEATh1ltvFa655hq3t/N5D8wDDzwgdOrUSbDZbHxP9xOXXRRy8OBBZGVloWPHjpg8eTIKCgoAAFu3boXFYsHo0aMdx+bm5iInJwfr168HAKxfvx69e/dGenq645gxY8agvLwcv//+u7p/SBhx95yLPvnkE7Ru3Rq9evXC7NmzUV1d7biNz7nvvvnmGwwcOBATJ05EWloa+vXrhw8++MBxe35+PoqKipxe60lJSRg8eLDTaz05ORkDBw50HDN69GhERUVh48aN6v0xYaS55120evVqpKWloVu3brj77rtx9uxZx2183v1nNpuxYMEC3HHHHdBoNHxP9xODDwUMHjwYH374IZYuXYp3330X+fn5GDZsGCoqKlBUVASDwYDk5GSn+6Snp6OoqAgAUFRU5PQiFW8Xb6OmPD3nAHDTTTdhwYIFWLVqFWbPno2PP/4YU6ZMcdyfz7nvjhw5gnfffRddunTBsmXLcPfdd+P+++/HRx99BKDheXP1vEpf62lpaU6363Q6pKSk8Hl3o7nnHbAvufz3v//FypUr8fLLL2PNmjUYN26cY+mAz7v/vvrqK5SWluK2224DAL6n+4k5HwoYN26c43KfPn0wePBgtGvXDp9//jliYmKCOLKWy9NzPnXqVEybNs1xe+/evZGZmYlRo0bh8OHD6NSpUzCGHPZsNhsGDhzoWLPu168fdu/ejffeew+33nprkEfXcnnzvN94442O43v37o0+ffqgU6dOWL16NUaNGhWUcbcU8+bNw7hx45CVlRXsoYQ1znyoIDk5GV27dsWhQ4eQkZEBs9mM0tJSp2OKi4uRkZEBAMjIyGiSKS3+Lh5Dnkmfc1cGDx4MAI7b+Zz7LjMzEz169HC6rnv37o7lLvF5c/W8Sl/rJSUlTrfX1dXh3LlzfN7daO55d6Vjx45o3bq10+udz7vvjh07hhUrVuDOO+90XMf3dP8w+FBBZWUlDh8+jMzMTAwYMAB6vR4rV6503L5//34UFBQgLy8PAJCXl4ddu3Y5vTksX74ciYmJTd50yDXpc+7Kjh07AMBxO59z3w0dOhT79+93uu7AgQNo164dAKBDhw7IyMhweq2Xl5dj48aNTq/10tJSbN261XHMTz/9BJvN5ggQyVlzz7srJ06cwNmzZ51e73zefTd//nykpaVh/Pjxjuv4nu6nYGe8tkQPPfSQsHr1aiE/P1/45ZdfhNGjRwutW7cWSkpKBEEQhOnTpws5OTnCTz/9JGzZskXIy8sT8vLyHPevq6sTevXqJVxxxRXCjh07hKVLlwpt2rQRZs+eHaw/KeR5es4PHTokPPvss8KWLVuE/Px84euvvxY6duwoDB8+3HF/Pue+27Rpk6DT6YQXXnhBOHjwoPDJJ58IsbGxwoIFCxzHvPTSS0JycrLw9ddfC7/99ptwzTXXCB06dBBqamocx4wdO1bo16+fsHHjRmHdunVCly5dhEmTJgXjTwoLzT3vFRUVwsMPPyysX79eyM/PF1asWCH0799f6NKli1BbW+s4D59331itViEnJ0d47LHHmtzG93TfMfhQwA033CBkZmYKBoNBuOCCC4QbbrhBOHTokOP2mpoa4Z577hFatWolxMbGCtddd51w6tQpp3McPXpUGDdunBATEyO0bt1aeOihhwSLxaL2nxI2PD3nBQUFwvDhw4WUlBTBaDQKnTt3Fh555BGhrKzM6Rx8zn23ZMkSoVevXoLRaBRyc3OF999/3+l2m80mPPnkk0J6erpgNBqFUaNGCfv373c65uzZs8KkSZOE+Ph4ITExUbj99tuFiooKNf+MsOPpea+urhauuOIKoU2bNoJerxfatWsn3HXXXU7bPAWBz7uvli1bJgBo8voVBL6n+0MjCIIQ7NkXIiIiihzM+SAiIiJVMfggIiIiVTH4ICIiIlUx+CAiIiJVMfggIiIiVTH4ICIiIlUx+CAiIiJVMfggIiIiVTH4ICIiIlUx+CAiIiJVMfggIiIiVTH4ICIiIlX9P+WMyfpUy9EnAAAAAElFTkSuQmCC", "text/plain": [ "
" ] @@ -96,7 +96,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "id": "fb27d8b6-a798-4941-8541-d7a18da310c6", "metadata": {}, "outputs": [ @@ -134,7 +134,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "id": "da7d0dad-e704-433a-992f-64fc27922c01", "metadata": {}, "outputs": [ @@ -170,7 +170,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "id": "0d50df60-7bb7-4f50-8aa0-b5d414c877dc", "metadata": {}, "outputs": [ @@ -209,7 +209,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "id": "871b9b3f-f57b-4735-84c0-2e185ee08985", "metadata": {}, "outputs": [ @@ -254,14 +254,14 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "id": "d7a2e49b-6570-4b15-a7f6-b2e5737211c6", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e3625bacd7874d5ea7201ef68d8c0364", + "model_id": "ab61b12e94ab41bc9f5dcb4b0d34bcb4", "version_major": 2, "version_minor": 0 }, @@ -284,14 +284,14 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "94a17c0c-eb68-4d96-8930-7417e75e0e7c", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "adb6d05f83d44ff4a2775d46a2193096", + "model_id": "6ed5d25ec9c74a709c18a3fd1cc54d29", "version_major": 2, "version_minor": 0 }, @@ -318,14 +318,14 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "id": "347d7a3a-07c4-47ce-ab56-7ae5cb1c17e6", "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b5c12a11bfa74f368a86555e16bb8731", + "model_id": "aef775e8831648968725af0fe3030c0a", "version_major": 2, "version_minor": 0 }, @@ -348,7 +348,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "id": "a741ce77-0f3a-43eb-b397-908559d8feae", "metadata": {}, "outputs": [ @@ -358,13 +358,13 @@ "" ] }, - "execution_count": 11, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -392,7 +392,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "id": "b6ecbbe4-b084-45a8-933a-b15cf0ef0ba5", "metadata": {}, "outputs": [ @@ -403,7 +403,7 @@ "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[12], line 7\u001b[0m\n\u001b[0;32m 5\u001b[0m spe\u001b[38;5;241m.\u001b[39mconvolve(lineshape\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mlambda\u001b[39;00m x, w: np\u001b[38;5;241m.\u001b[39mexp(\u001b[38;5;241m-\u001b[39m(x\u001b[38;5;241m/\u001b[39mw)\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m2\u001b[39m)\u001b[38;5;241m/\u001b[39m\u001b[38;5;241m20\u001b[39m, w\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m20\u001b[39m)\u001b[38;5;241m.\u001b[39mplot(label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124muser-defined exp(-(x/20)**2)/20\u001b[39m\u001b[38;5;124m'\u001b[39m, ax\u001b[38;5;241m=\u001b[39max[\u001b[38;5;241m1\u001b[39m])\n\u001b[0;32m 6\u001b[0m ax[\u001b[38;5;241m2\u001b[39m]\u001b[38;5;241m.\u001b[39mset_xlabel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mRaman shift [$\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mmathrm\u001b[39m\u001b[38;5;132;01m{cm}\u001b[39;00m\u001b[38;5;124m^\u001b[39m\u001b[38;5;124m{\u001b[39m\u001b[38;5;124m-1}$]\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m----> 7\u001b[0m \u001b[43mfig\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msavefig\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m/tmp/convolve.png\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[1;32mIn[11], line 7\u001b[0m\n\u001b[0;32m 5\u001b[0m spe\u001b[38;5;241m.\u001b[39mconvolve(lineshape\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mlambda\u001b[39;00m x, w: np\u001b[38;5;241m.\u001b[39mexp(\u001b[38;5;241m-\u001b[39m(x\u001b[38;5;241m/\u001b[39mw)\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m2\u001b[39m)\u001b[38;5;241m/\u001b[39m\u001b[38;5;241m20\u001b[39m, w\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m20\u001b[39m)\u001b[38;5;241m.\u001b[39mplot(label\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124muser-defined exp(-(x/20)**2)/20\u001b[39m\u001b[38;5;124m'\u001b[39m, ax\u001b[38;5;241m=\u001b[39max[\u001b[38;5;241m1\u001b[39m])\n\u001b[0;32m 6\u001b[0m ax[\u001b[38;5;241m2\u001b[39m]\u001b[38;5;241m.\u001b[39mset_xlabel(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mRaman shift [$\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mmathrm\u001b[39m\u001b[38;5;132;01m{cm}\u001b[39;00m\u001b[38;5;124m^\u001b[39m\u001b[38;5;124m{\u001b[39m\u001b[38;5;124m-1}$]\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m----> 7\u001b[0m \u001b[43mfig\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msavefig\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m/tmp/convolve.png\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n", "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\matplotlib\\figure.py:3395\u001b[0m, in \u001b[0;36mFigure.savefig\u001b[1;34m(self, fname, transparent, **kwargs)\u001b[0m\n\u001b[0;32m 3393\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m ax \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39maxes:\n\u001b[0;32m 3394\u001b[0m _recursively_make_axes_transparent(stack, ax)\n\u001b[1;32m-> 3395\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcanvas\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mprint_figure\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\matplotlib\\backend_bases.py:2204\u001b[0m, in \u001b[0;36mFigureCanvasBase.print_figure\u001b[1;34m(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, pad_inches, bbox_extra_artists, backend, **kwargs)\u001b[0m\n\u001b[0;32m 2200\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m 2201\u001b[0m \u001b[38;5;66;03m# _get_renderer may change the figure dpi (as vector formats\u001b[39;00m\n\u001b[0;32m 2202\u001b[0m \u001b[38;5;66;03m# force the figure dpi to 72), so we need to set it again here.\u001b[39;00m\n\u001b[0;32m 2203\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m cbook\u001b[38;5;241m.\u001b[39m_setattr_cm(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfigure, dpi\u001b[38;5;241m=\u001b[39mdpi):\n\u001b[1;32m-> 2204\u001b[0m result \u001b[38;5;241m=\u001b[39m \u001b[43mprint_method\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 2205\u001b[0m \u001b[43m \u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2206\u001b[0m \u001b[43m \u001b[49m\u001b[43mfacecolor\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfacecolor\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2207\u001b[0m \u001b[43m \u001b[49m\u001b[43medgecolor\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43medgecolor\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2208\u001b[0m \u001b[43m \u001b[49m\u001b[43morientation\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43morientation\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2209\u001b[0m \u001b[43m \u001b[49m\u001b[43mbbox_inches_restore\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m_bbox_inches_restore\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m 2210\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 2211\u001b[0m \u001b[38;5;28;01mfinally\u001b[39;00m:\n\u001b[0;32m 2212\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m bbox_inches \u001b[38;5;129;01mand\u001b[39;00m restore_bbox:\n", "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\matplotlib\\backend_bases.py:2054\u001b[0m, in \u001b[0;36mFigureCanvasBase._switch_canvas_and_return_print_method..\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 2050\u001b[0m optional_kws \u001b[38;5;241m=\u001b[39m { \u001b[38;5;66;03m# Passed by print_figure for other renderers.\u001b[39;00m\n\u001b[0;32m 2051\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdpi\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfacecolor\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124medgecolor\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124morientation\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m 2052\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbbox_inches_restore\u001b[39m\u001b[38;5;124m\"\u001b[39m}\n\u001b[0;32m 2053\u001b[0m skip \u001b[38;5;241m=\u001b[39m optional_kws \u001b[38;5;241m-\u001b[39m {\u001b[38;5;241m*\u001b[39minspect\u001b[38;5;241m.\u001b[39msignature(meth)\u001b[38;5;241m.\u001b[39mparameters}\n\u001b[1;32m-> 2054\u001b[0m print_method \u001b[38;5;241m=\u001b[39m functools\u001b[38;5;241m.\u001b[39mwraps(meth)(\u001b[38;5;28;01mlambda\u001b[39;00m \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: \u001b[43mmeth\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m 2055\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m{\u001b[49m\u001b[43mk\u001b[49m\u001b[43m:\u001b[49m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mfor\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mk\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mv\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mitems\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mk\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;129;43;01mnot\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;129;43;01min\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mskip\u001b[49m\u001b[43m}\u001b[49m\u001b[43m)\u001b[49m)\n\u001b[0;32m 2056\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m: \u001b[38;5;66;03m# Let third-parties do as they see fit.\u001b[39;00m\n\u001b[0;32m 2057\u001b[0m print_method \u001b[38;5;241m=\u001b[39m meth\n", diff --git a/examples/sharpening_peak_candidates.ipynb b/examples/sharpening_peak_candidates.ipynb deleted file mode 100644 index a4a257da..00000000 --- a/examples/sharpening_peak_candidates.ipynb +++ /dev/null @@ -1,151 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "id": "08dc83ca-f176-4390-8a70-505bbe1c01c9", - "metadata": {}, - "outputs": [], - "source": [ - "import ramanchada2 as rc2\n", - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "bc5af63c-0127-4010-b78f-281e24a79b07", - "metadata": {}, - "outputs": [ - { - "ename": "FileNotFoundError", - "evalue": "[Errno 2] No such file or directory: '/data/RamanSpe/FNMT-Madrid/BWTek_532nm/PST/PST10_iR532_Probe_050_3000msx7.txt'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", - "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\spectrum\\creators\\from_local_file.py:81\u001b[0m, in \u001b[0;36mfrom_local_file\u001b[1;34m(in_file_name, filetype, backend)\u001b[0m\n\u001b[0;32m 80\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m---> 81\u001b[0m spe \u001b[38;5;241m=\u001b[39m \u001b[43mload_native\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 82\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m:\n", - "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\spectrum\\creators\\from_local_file.py:48\u001b[0m, in \u001b[0;36mfrom_local_file..load_native\u001b[1;34m()\u001b[0m\n\u001b[0;32m 47\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ft \u001b[38;5;129;01min\u001b[39;00m {\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtxt\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtxtr\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprn\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mrruf\u001b[39m\u001b[38;5;124m'\u001b[39m}:\n\u001b[1;32m---> 48\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43min_file_name\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m fp:\n\u001b[0;32m 49\u001b[0m x, y, meta \u001b[38;5;241m=\u001b[39m read_txt(fp)\n", - "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/data/RamanSpe/FNMT-Madrid/BWTek_532nm/PST/PST10_iR532_Probe_050_3000msx7.txt'", - "\nDuring handling of the above exception, another exception occurred:\n", - "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[2], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m spe \u001b[38;5;241m=\u001b[39m \u001b[43mrc2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mspectrum\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfrom_local_file\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m/data/RamanSpe/FNMT-Madrid/BWTek_532nm/PST/PST10_iR532_Probe_050_3000msx7.txt\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mnormalize()\n", - "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\misc\\spectrum_deco\\spectrum_constructor.py:15\u001b[0m, in \u001b[0;36madd_spectrum_constructor.__call__..retf\u001b[1;34m(cachefile_, *args, **kwargs)\u001b[0m\n\u001b[0;32m 13\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(fun)\n\u001b[0;32m 14\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mretf\u001b[39m(\u001b[38;5;241m*\u001b[39margs, cachefile_\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Spectrum:\n\u001b[1;32m---> 15\u001b[0m spe \u001b[38;5;241m=\u001b[39m \u001b[43mfun\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 16\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mset_proc:\n\u001b[0;32m 17\u001b[0m spe\u001b[38;5;241m.\u001b[39m_applied_processings\u001b[38;5;241m.\u001b[39massign(proc\u001b[38;5;241m=\u001b[39mfun\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m, args\u001b[38;5;241m=\u001b[39margs, kwargs\u001b[38;5;241m=\u001b[39mkwargs)\n", - "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\pydantic\\validate_call_decorator.py:60\u001b[0m, in \u001b[0;36mvalidate_call..validate..wrapper_function\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 58\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mwraps(function)\n\u001b[0;32m 59\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwrapper_function\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m---> 60\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mvalidate_call_wrapper\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n", - "File \u001b[1;32md:\\nina\\CONDA\\envs\\ramanchada2\\Lib\\site-packages\\pydantic\\_internal\\_validate_call.py:96\u001b[0m, in \u001b[0;36mValidateCallWrapper.__call__\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m 95\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__call__\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs: Any, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs: Any) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Any:\n\u001b[1;32m---> 96\u001b[0m res \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m__pydantic_validator__\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mvalidate_python\u001b[49m\u001b[43m(\u001b[49m\u001b[43mpydantic_core\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mArgsKwargs\u001b[49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 97\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__return_pydantic_validator__:\n\u001b[0;32m 98\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m__return_pydantic_validator__(res)\n", - "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\spectrum\\creators\\from_local_file.py:83\u001b[0m, in \u001b[0;36mfrom_local_file\u001b[1;34m(in_file_name, filetype, backend)\u001b[0m\n\u001b[0;32m 81\u001b[0m spe \u001b[38;5;241m=\u001b[39m load_native()\n\u001b[0;32m 82\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mException\u001b[39;00m:\n\u001b[1;32m---> 83\u001b[0m spe \u001b[38;5;241m=\u001b[39m \u001b[43mload_rc1\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 84\u001b[0m spe\u001b[38;5;241m.\u001b[39m_sort_x()\n\u001b[0;32m 85\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m spe\n", - "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\spectrum\\creators\\from_local_file.py:71\u001b[0m, in \u001b[0;36mfrom_local_file..load_rc1\u001b[1;34m()\u001b[0m\n\u001b[0;32m 70\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mload_rc1\u001b[39m():\n\u001b[1;32m---> 71\u001b[0m x, y, meta \u001b[38;5;241m=\u001b[39m \u001b[43mrc1_parser\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mparse\u001b[49m\u001b[43m(\u001b[49m\u001b[43min_file_name\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mfiletype\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 72\u001b[0m spe \u001b[38;5;241m=\u001b[39m Spectrum(x\u001b[38;5;241m=\u001b[39mx, y\u001b[38;5;241m=\u001b[39my, metadata\u001b[38;5;241m=\u001b[39mSpeMetadataModel\u001b[38;5;241m.\u001b[39mmodel_validate(meta))\n\u001b[0;32m 73\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m spe\n", - "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\io\\experimental\\rc1_parser\\io.py:36\u001b[0m, in \u001b[0;36mparse\u001b[1;34m(source_path, file_type)\u001b[0m\n\u001b[0;32m 31\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 32\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m UnsupportedFileTypeError(\n\u001b[0;32m 33\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfile type \u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfile_type\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m is not supported\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m 34\u001b[0m )\n\u001b[1;32m---> 36\u001b[0m x_data, y_data, metadata \u001b[38;5;241m=\u001b[39m \u001b[43mreader\u001b[49m\u001b[43m(\u001b[49m\u001b[43msource_path\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 37\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m metadata \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m 38\u001b[0m \u001b[38;5;66;03m# Get rid of bytes that are found in some of the formats\u001b[39;00m\n\u001b[0;32m 39\u001b[0m metadata \u001b[38;5;241m=\u001b[39m cleanMeta(metadata)\n", - "File \u001b[1;32md:\\nina\\src\\charisma\\ramanchada2\\src\\ramanchada2\\io\\experimental\\rc1_parser\\txt_format_readers.py:48\u001b[0m, in \u001b[0;36mreadTXT\u001b[1;34m(file, x_col, y_col, verbose)\u001b[0m\n\u001b[0;32m 46\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mreadTXT\u001b[39m(file, x_col\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, y_col\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m, verbose\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m):\n\u001b[0;32m 47\u001b[0m \u001b[38;5;66;03m# open .txt and read as lines\u001b[39;00m\n\u001b[1;32m---> 48\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28;43mopen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mfile\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mas\u001b[39;00m d:\n\u001b[0;32m 49\u001b[0m lines \u001b[38;5;241m=\u001b[39m d\u001b[38;5;241m.\u001b[39mreadlines()\n\u001b[0;32m 50\u001b[0m \u001b[38;5;66;03m# Find data lines and convert to np.array\u001b[39;00m\n", - "\u001b[1;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/data/RamanSpe/FNMT-Madrid/BWTek_532nm/PST/PST10_iR532_Probe_050_3000msx7.txt'" - ] - } - ], - "source": [ - "spe = rc2.spectrum.from_local_file('/data/RamanSpe/FNMT-Madrid/BWTek_532nm/PST/PST10_iR532_Probe_050_3000msx7.txt').normalize()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1088d4fa-43c8-4e0c-b19f-9e628483b191", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots(figsize=(30,10))\n", - "sharp = spe.hht_sharpening_chain([50])\n", - "sharp.plot(ax=ax)\n", - "spe.plot(ax=ax, fmt=':')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d029a9f7-0ba1-4ca1-90b7-9cc4b6ced5c8", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots(figsize=(30,10))\n", - "cand = spe.find_peak_multipeak(wlen=50, hht_chain=[80])\n", - "cand.plot(ax=ax)\n", - "spe.plot(ax=ax, fmt=':')\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "d1ec0b9c-63bf-40dc-9816-de9f1a454ae7", - "metadata": {}, - "outputs": [], - "source": [ - "fitres = spe.fit_peak_multimodel(profile='Moffat', candidates=cand, no_fit=True)\n", - "\n", - "fig, ax = plt.subplots(figsize=(30,10))\n", - "spe.plot(ax=ax, fmt=':')\n", - "fitres.plot(ax=ax, peak_candidate_groups=cand, individual_peaks=True, label=None)\n", - "fitres.plot(ax=ax, peak_candidate_groups=cand, individual_peaks=False, label=None)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3242e92c-8b9b-414c-a606-b84fe143d1c0", - "metadata": {}, - "outputs": [], - "source": [ - "fitres = spe.fit_peak_multimodel(profile='Moffat', candidates=cand, no_fit=False)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b286db90-8de4-4b03-8430-252ad054cf6e", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots(figsize=(30,10))\n", - "spe.plot(ax=ax, fmt=':')\n", - "fitres.plot(ax=ax, peak_candidate_groups=cand, individual_peaks=True, label=None)\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a0c23c0f-39b3-46cc-84b2-6224df507735", - "metadata": {}, - "outputs": [], - "source": [ - "fitres.to_csv('/tmp/peak_data.csv')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "3e84666f-1b25-42ea-b4d7-5f9e763d8d33", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "ramanchada2", - "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": "3.11.10" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/examples/simulation-to-spectrum.ipynb b/examples/simulation-to-spectrum.ipynb deleted file mode 100644 index d8e6f05e..00000000 --- a/examples/simulation-to-spectrum.ipynb +++ /dev/null @@ -1,88 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": null, - "id": "5ef2a28a-959a-4341-a4d7-45ac0f8bc47e", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "import ramanchada2 as rc2\n", - "\n", - "from scipy import signal\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "407629a5-d42f-481a-970c-5a6c47b7be31", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "vasp_sim_fn = '/data/RamanSimulated/vasp/snCAL_vasp_raman_ALL.dat'\n", - "crystal_dat_fn = '/data/RamanSimulated/crystal/calcite_CRYSTAL_PBE_raw_data.dat'\n", - "crystal_out_fn = '/data/RamanSimulated/Anatase_PBE_pob_TZVP_Raman_intens.out'" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2cd4efb1-3396-4d70-b54c-b47e736b8f6c", - "metadata": {}, - "outputs": [], - "source": [ - "vasp_spe = rc2.spectrum.from_simulation(vasp_sim_fn, sim_type='vasp')\n", - "crystal_dat_spe = rc2.spectrum.from_simulation(crystal_dat_fn, sim_type='crystal_dat')\n", - "crystal_out_spe = rc2.spectrum.from_simulation(crystal_out_fn, sim_type='crystal_out')\n", - "\n", - "fig, ax = plt.subplots()\n", - "vasp_spe.resample_NUDFT_filter(x_range=(0, 3500), xnew_bins=800).plot(ax=ax, label='vasp')\n", - "crystal_dat_spe.resample_NUDFT_filter(x_range=(0, 3500), xnew_bins=800).plot(ax=ax, label='crystal_dat')\n", - "crystal_out_spe.resample_NUDFT_filter(x_range=(0, 3500), xnew_bins=800).plot(ax=ax, label='crystal_out')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4651980b-892b-4706-8d38-edcdddbfd04f", - "metadata": {}, - "outputs": [], - "source": [ - "vasp_spe_tot = rc2.spectrum.from_simulation(vasp_sim_fn, sim_type='vasp', use='I_tot')\n", - "vasp_spe_par = rc2.spectrum.from_simulation(vasp_sim_fn, sim_type='vasp', use='I_par')\n", - "vasp_spe_perp = rc2.spectrum.from_simulation(vasp_sim_fn, sim_type='vasp', use='I_perp')\n", - "fig, ax = plt.subplots()\n", - "vasp_spe_tot.resample_NUDFT_filter(x_range=(0, 3500), xnew_bins=800).plot(ax=ax, label='I_tot')\n", - "vasp_spe_par.resample_NUDFT_filter(x_range=(0, 3500), xnew_bins=800).plot(ax=ax, label='I_par')\n", - "vasp_spe_perp.resample_NUDFT_filter(x_range=(0, 3500), xnew_bins=800).plot(ax=ax, label='I_perp')" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "ramanchada2", - "language": "python", - "name": "ramanchada2" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.11" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/examples/simulation_experiment_comparison_demo.ipynb b/examples/simulation_experiment_comparison_demo.ipynb deleted file mode 100644 index 7071d4ca..00000000 --- a/examples/simulation_experiment_comparison_demo.ipynb +++ /dev/null @@ -1,134 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "74a0c04b-4151-41a7-9852-83db0be26774", - "metadata": { - "tags": [] - }, - "source": [ - "# Compare simulated and experimental spectra" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5a07a056-112a-49a1-87d4-77a42605a1ac", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "import ramanchada2 as rc2\n", - "from ramanchada2.auxiliary.spectra.datasets2 import get_filenames, prepend_prefix" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "a8ebe4ef-70b2-4471-a280-f2d78faf7313", - "metadata": {}, - "outputs": [], - "source": [ - "exp_spe_fn = prepend_prefix(get_filenames(provider=['ICV'], laser_wl=['785'], sample=['nCAL'], OP=['050']))[0]" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b7c303ae-52cb-4b75-82d2-649d9687c2d0", - "metadata": {}, - "outputs": [], - "source": [ - "vasp_sim_fn = rc2.auxiliary.spectra.simulated.FILES['calcite_vasp']\n", - "crystal_sim_raw_fn = rc2.auxiliary.spectra.simulated.FILES['calcite_crystal_raw']\n", - "crystal_sim_convolved_fn = rc2.auxiliary.spectra.simulated.FILES['calcite_crystal_convolved']" - ] - }, - { - "cell_type": "markdown", - "id": "89c898c1-7b3a-47cb-b849-2ee1906985cc", - "metadata": { - "tags": [] - }, - "source": [ - "## read VASP simulation files for calcite and compare with experimental" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6528f3be-099a-4082-a7d0-60536765d2d9", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots(nrows=5, sharex=True, figsize=(8, 8))\n", - "\n", - "rc2.spectrum.from_local_file(exp_spe_fn).normalize().plot(ax=ax[0], label=\"Experimental nCAL; 785 nm\")\n", - "rc2.spectrum.from_simulation(vasp_sim_fn, 'vasp', 'I_perp').plot(ax=ax[2], label=r'Simulated VASP $I_{perp}$')\n", - "rc2.spectrum.from_simulation(vasp_sim_fn, 'vasp', 'I_tot').plot(ax=ax[1], label=r'Simulated VASP $I_{tot}$')\n", - "rc2.spectrum.from_simulation(vasp_sim_fn, 'vasp', 'I_par').plot(ax=ax[3], label=r'Simulated VASP $I_{par}$')\n", - "rc2.spectrum.from_simulation(vasp_sim_fn, 'vasp', {'I_par':.1, 'I_perp':.9}).plot(ax=ax[4], label=r'Simulated VASP $0.1*I_{par} + 0.9*I_{perp}$')\n", - "for a in ax:\n", - " a.legend(loc='upper right')\n", - " a.grid()\n", - "ax[4].set_xlabel(r'Raman shift [$\\mathrm{cm}^{-1}$]')\n", - "fig.suptitle('Calcite -- experimental vs VASP simulated')\n", - "fig.tight_layout()\n", - "\n" - ] - }, - { - "cell_type": "markdown", - "id": "9a1e3554-073e-46ef-99bb-4fdea97f30e4", - "metadata": {}, - "source": [ - "## Compare crystal convolved and ramanchada2 convolved spectra" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "cae789fe-29fd-467e-b066-85dc2f04b0a7", - "metadata": {}, - "outputs": [], - "source": [ - "fig, ax = plt.subplots()\n", - "\n", - "\n", - "spe_convolved = rc2.spectrum.from_simulation(crystal_sim_convolved_fn, 'crystal_dat', 'I_perp')\n", - "spe_raw = rc2.spectrum.from_simulation(crystal_sim_raw_fn, 'crystal_dat', 'I_perp')\n", - "\n", - "spe_raw.normalize().plot(ax=ax, label='crystal deltas')\n", - "spe_convolved.normalize().plot(ax=ax, label='crystal convolved')\n", - "spe_raw.convolve('moffat', sigma=5).normalize().plot(ax=ax, fmt=':', label='RC2 convolved')\n", - "\n", - "ax.set_xlabel(r'Raman shift [$\\mathrm{cm}^{-1}$]')\n", - "ax.set_title('Calcite -- crystal simulations')\n", - "fig.tight_layout()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "ramanchada2", - "language": "python", - "name": "ramanchada2" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.6" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/examples/single-photon-response-calibration-GG.ipynb b/examples/single-photon-response-calibration-GG.ipynb index 3f4533c7..b6aee3cc 100644 --- a/examples/single-photon-response-calibration-GG.ipynb +++ b/examples/single-photon-response-calibration-GG.ipynb @@ -39,7 +39,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "d81af4e9-992b-41d5-aa68-c3a757cd878c", "metadata": {}, "outputs": [], @@ -54,10 +54,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "d13c24ef-0f7a-41b7-ab87-dccc7988dbdf", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "spe_coll = SpectralComponentCollection([\n", " GaussPeak(a=50000, x0=250, w=6),\n", @@ -80,10 +91,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "d6d520c7-416e-4be7-83e2-5aea7f51440a", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "spe_clear = spectrum.from_spectral_component_collection(x=2000, spe_components=spe_coll)\n", "spe_noise = spe_clear.add_poisson_noise()\n", @@ -98,10 +120,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "8f8d512a-17da-4a6e-bd91-4023714ee14c", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "spe_au = spe_noise.scale_yaxis_linear(factor=1/6000)\n", "fig, ax = plt.subplots(1, figsize=(7, 4))\n", @@ -136,7 +169,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "cb940844-e185-412d-9e38-fc86237b085d", "metadata": {}, "outputs": [], @@ -158,7 +191,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "debedb65-3781-41c8-a42b-7f6aef173562", "metadata": {}, "outputs": [], @@ -169,10 +202,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "96be0c3a-b056-4e88-b537-934c6208ee35", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fig, ax = plt.subplots(1, 2, figsize=(12, 4))\n", "\n", @@ -207,7 +251,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "4affca17-74af-4fed-8a06-a40e674c00b1", "metadata": {}, "outputs": [], @@ -221,7 +265,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "id": "09d2f8ca-dfe9-4750-948d-2143281a01c2", "metadata": {}, "outputs": [], @@ -236,7 +280,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "id": "cd33b48f-44c0-43ff-9c90-a6db06dba8e6", "metadata": {}, "outputs": [], @@ -251,10 +295,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "id": "36f017c0-4a7b-4913-9664-94e61d098d6f", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fig, ax = plt.subplots(1, 2, figsize=(12, 4))\n", "ax[0].plot(x, y, '.', label='data')\n", @@ -282,10 +337,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "id": "91f85fe0-873b-4913-8a4a-3ae3f1339bd5", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "fig, ax = plt.subplots(1, 2, figsize=(12, 4))\n", "spe_au.plot(ax=ax[0])\n", @@ -304,7 +370,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "id": "ce68d339-bfba-43c6-bf02-53cb2ef32730", "metadata": {}, "outputs": [], @@ -325,10 +391,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "id": "d0dba5c5-9bce-4f5c-8f50-dd5a0c8b911b", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "plt.hist(coef, bins=20)\n", "None" @@ -336,10 +413,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "id": "6833e5b1-ef61-4c36-916a-546b9796ce15", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "(np.float64(5616.668638261703), np.float64(344.7558902386438))" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "np.mean(coef), np.std(coef)" ] @@ -349,7 +437,7 @@ "kernelspec": { "display_name": "ramanchada2", "language": "python", - "name": "ramanchada2" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -361,7 +449,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.11" + "version": "3.11.10" } }, "nbformat": 4, diff --git a/examples/single-photon-response-calibration-LT.ipynb b/examples/single-photon-response-calibration-LT.ipynb index 13836ab8..8a017e0d 100644 --- a/examples/single-photon-response-calibration-LT.ipynb +++ b/examples/single-photon-response-calibration-LT.ipynb @@ -28,7 +28,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "d81af4e9-992b-41d5-aa68-c3a757cd878c", "metadata": {}, "outputs": [], @@ -43,10 +43,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "id": "d13c24ef-0f7a-41b7-ab87-dccc7988dbdf", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "spe_coll = SpectralComponentCollection([\n", " GaussPeak(a=50000, x0=250, w=6),\n", @@ -69,10 +80,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "id": "d6d520c7-416e-4be7-83e2-5aea7f51440a", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "spe_clear = spectrum.from_spectral_component_collection(x=2000, spe_components=spe_coll)\n", "spe_noise = spe_clear.add_poisson_noise()\n", @@ -87,10 +109,21 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "8f8d512a-17da-4a6e-bd91-4023714ee14c", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "spe_au = spe_noise.scale_yaxis_linear(factor=1/6000)\n", "fig, ax = plt.subplots(1, figsize=(7, 4))\n", @@ -102,17 +135,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "ce68d339-bfba-43c6-bf02-53cb2ef32730", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "array([0.4005629008852857, 0.3931758224854841, 0.3967280004351365, ...,\n", + " 0.4914384887147293, 0.5041398742085311, 0.4925601403837674],\n", + " dtype=object)" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "spe_au.y" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "id": "41b03059-5327-481e-8342-c420dbc49a83", "metadata": {}, "outputs": [], @@ -149,10 +195,31 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "id": "7d69cad0-7d2f-4b60-b124-24bb66c0412e", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "ys, _ = low_pass(spe_au.y, 900)\n", "plt.plot(spe_au.y)\n", @@ -161,10 +228,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "id": "41a4b462-6b74-4204-aeb9-f692ad06d40e", "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "TypeError", + "evalue": "loop of ufunc does not support argument 0 of type float which has no callable sqrt method", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mAttributeError\u001b[0m Traceback (most recent call last)", + "\u001b[1;31mAttributeError\u001b[0m: 'float' object has no attribute 'sqrt'", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[8], line 9\u001b[0m\n\u001b[0;32m 5\u001b[0m spe_au \u001b[38;5;241m=\u001b[39m spe_noise\u001b[38;5;241m.\u001b[39mscale_yaxis_linear(factor\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1\u001b[39m\u001b[38;5;241m/\u001b[39m\u001b[38;5;241m6000\u001b[39m)\n\u001b[0;32m 7\u001b[0m spe_au_smooth_y, spe_au_smooth_sig2 \u001b[38;5;241m=\u001b[39m spline_sma(spe_au\u001b[38;5;241m.\u001b[39my)\n\u001b[1;32m----> 9\u001b[0m rr \u001b[38;5;241m=\u001b[39m (spe_au\u001b[38;5;241m.\u001b[39my \u001b[38;5;241m-\u001b[39m spe_au_smooth_y)\u001b[38;5;241m/\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43msqrt\u001b[49m\u001b[43m(\u001b[49m\u001b[43mspe_au\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43my\u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43mspe_au_smooth_sig2\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 10\u001b[0m coef\u001b[38;5;241m.\u001b[39mappend(\u001b[38;5;241m1\u001b[39m\u001b[38;5;241m/\u001b[39mnp\u001b[38;5;241m.\u001b[39mvar(rr))\n", + "\u001b[1;31mTypeError\u001b[0m: loop of ufunc does not support argument 0 of type float which has no callable sqrt method" + ] + } + ], "source": [ "coef = list()\n", "for i in range(200):\n", @@ -205,7 +287,7 @@ "kernelspec": { "display_name": "ramanchada2", "language": "python", - "name": "ramanchada2" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -217,7 +299,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.11" + "version": "3.11.10" } }, "nbformat": 4, diff --git a/examples/synthetic_spe_superposition.ipynb b/examples/synthetic_spe_superposition.ipynb index 4c5bbd04..032cceb3 100644 --- a/examples/synthetic_spe_superposition.ipynb +++ b/examples/synthetic_spe_superposition.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 7, "id": "0d889db7-3744-4017-9319-a3089a6b004b", "metadata": {}, "outputs": [], @@ -25,7 +25,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 8, "id": "c7cd4ff4-98d4-44c5-a90c-b8db2284e836", "metadata": {}, "outputs": [ @@ -35,13 +35,13 @@ "" ] }, - "execution_count": 2, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -58,7 +58,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 9, "id": "cb19d667-152c-4770-ab88-760c02f67413", "metadata": {}, "outputs": [ @@ -68,13 +68,13 @@ "" ] }, - "execution_count": 3, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -92,7 +92,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 10, "id": "267916f9-608a-46d6-83b9-ba75312431d6", "metadata": {}, "outputs": [], @@ -107,13 +107,13 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 11, "id": "f3fac1bb-04d9-49e4-a902-375faa866bed", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -130,7 +130,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 12, "id": "4b59bd30-9818-4701-abe6-a156a57aaac7", "metadata": {}, "outputs": [ @@ -168,6 +168,7 @@ "}\n", "\n", "html[theme=dark],\n", + "html[data-theme=dark],\n", "body[data-theme=dark],\n", "body.vscode-dark {\n", " --xr-font-color0: rgba(255, 255, 255, 1);\n", @@ -218,7 +219,7 @@ ".xr-sections {\n", " padding-left: 0 !important;\n", " display: grid;\n", - " grid-template-columns: 150px auto auto 1fr 20px 20px;\n", + " grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n", "}\n", "\n", ".xr-section-item {\n", @@ -226,7 +227,8 @@ "}\n", "\n", ".xr-section-item input {\n", - " display: none;\n", + " display: inline-block;\n", + " opacity: 0;\n", "}\n", "\n", ".xr-section-item input + label {\n", @@ -238,6 +240,10 @@ " color: var(--xr-font-color2);\n", "}\n", "\n", + ".xr-section-item input:focus + label {\n", + " border: 2px solid var(--xr-font-color0);\n", + "}\n", + "\n", ".xr-section-item input:enabled + label:hover {\n", " color: var(--xr-font-color0);\n", "}\n", @@ -500,54 +506,54 @@ " stroke: currentColor;\n", " fill: currentColor;\n", "}\n", - "
<xarray.DataArray (Concentration: 5, Raman Shift: 3000)>\n",
-       "array([[11.92520442, 14.88767363, 12.92734046, ..., 49.66349974,\n",
-       "        46.53527478, 48.43464744],\n",
-       "       [12.58707606, 12.86335659, 12.52773832, ..., 47.55500084,\n",
-       "        50.15898305, 51.46263877],\n",
-       "       [11.95845388, 12.93988228, 13.27544424, ..., 48.66883774,\n",
-       "        49.91333064, 48.93461747],\n",
-       "       [11.8913454 , 11.98131324, 12.86152896, ..., 50.82484159,\n",
-       "        48.17785559, 49.32446496],\n",
-       "       [13.70457911, 12.34906036, 12.07578379, ..., 48.17907818,\n",
-       "        48.4607941 , 48.56590859]])\n",
+       "
<xarray.DataArray (Concentration: 5, Raman Shift: 3000)> Size: 120kB\n",
+       "array([[12.77963319, 11.88503782, 15.21131608, ..., 40.59949093,\n",
+       "        41.02842861, 43.03263858],\n",
+       "       [10.64555328, 10.69081627, 11.59389508, ..., 38.36213135,\n",
+       "        41.53138334, 38.93368657],\n",
+       "       [12.33410777, 11.89011694, 11.23779234, ..., 42.27500359,\n",
+       "        39.48974123, 41.18960007],\n",
+       "       [14.11038695, 11.4694398 , 12.04560848, ..., 41.0617796 ,\n",
+       "        43.89545672, 40.8699149 ],\n",
+       "       [11.20526341, 12.42465434, 11.79803046, ..., 39.31698324,\n",
+       "        41.42077624, 40.34550004]])\n",
        "Coordinates:\n",
-       "  * Concentration  (Concentration) float64 0.3 0.4 0.5 0.6 0.7\n",
-       "  * Raman Shift    (Raman Shift) float64 0.0 0.5 1.0 ... 1.499e+03 1.5e+03
    • " ], "text/plain": [ - "\n", - "array([[11.92520442, 14.88767363, 12.92734046, ..., 49.66349974,\n", - " 46.53527478, 48.43464744],\n", - " [12.58707606, 12.86335659, 12.52773832, ..., 47.55500084,\n", - " 50.15898305, 51.46263877],\n", - " [11.95845388, 12.93988228, 13.27544424, ..., 48.66883774,\n", - " 49.91333064, 48.93461747],\n", - " [11.8913454 , 11.98131324, 12.86152896, ..., 50.82484159,\n", - " 48.17785559, 49.32446496],\n", - " [13.70457911, 12.34906036, 12.07578379, ..., 48.17907818,\n", - " 48.4607941 , 48.56590859]])\n", + " Size: 120kB\n", + "array([[12.77963319, 11.88503782, 15.21131608, ..., 40.59949093,\n", + " 41.02842861, 43.03263858],\n", + " [10.64555328, 10.69081627, 11.59389508, ..., 38.36213135,\n", + " 41.53138334, 38.93368657],\n", + " [12.33410777, 11.89011694, 11.23779234, ..., 42.27500359,\n", + " 39.48974123, 41.18960007],\n", + " [14.11038695, 11.4694398 , 12.04560848, ..., 41.0617796 ,\n", + " 43.89545672, 40.8699149 ],\n", + " [11.20526341, 12.42465434, 11.79803046, ..., 39.31698324,\n", + " 41.42077624, 40.34550004]])\n", "Coordinates:\n", - " * Concentration (Concentration) float64 0.3 0.4 0.5 0.6 0.7\n", - " * Raman Shift (Raman Shift) float64 0.0 0.5 1.0 ... 1.499e+03 1.5e+03" + " * Concentration (Concentration) float64 40B 0.3 0.4 0.5 0.6 0.7\n", + " * Raman Shift (Raman Shift) float64 24kB 0.0 0.5 1.0 ... 1.499e+03 1.5e+03" ] }, - "execution_count": 6, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -565,7 +571,7 @@ "kernelspec": { "display_name": "ramanchada2", "language": "python", - "name": "ramanchada2" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -577,7 +583,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.11" + "version": "3.11.10" } }, "nbformat": 4, diff --git a/examples/test_nico.ipynb b/examples/test_nico.ipynb deleted file mode 100644 index daaf3ad0..00000000 --- a/examples/test_nico.ipynb +++ /dev/null @@ -1,1775 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 22, - "id": "96cee40a-87c5-4bda-9204-c4777aeb740e", - "metadata": {}, - "outputs": [], - "source": [ - "import pandas as pd\n", - "import ramanchada2 as rc2\n", - "import os\n", - "import matplotlib.pyplot as plt\n", - "\n", - "import numpy as np" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5e8d65cd-d03b-467b-9480-d98b1a365d84", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "id": "67dc9e79-b69c-4977-a2b4-9c505915596c", - "metadata": {}, - "source": [ - "# the constants" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "085a2647-09ea-473c-bd32-1bf1b6a8241d", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "question: Where are these values from?\n" - ] - } - ], - "source": [ - "import ramanchada2.misc.constants as rc2const\n", - "\n", - "# https://physics.nist.gov/PhysRefData/Handbook/Tables/neontable2.htm\n", - "\n", - "rc2const.neon_wl_532_nist_dict\n", - "\n", - "print('question: Where are these values from?')\n", - "\n", - "#ask Georgi - AFAIK they are from NIST site" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "id": "b5b129c3-9d81-4155-adc3-77c2cd3df4a3", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "array([ 281.23305169, 821.08326266, 1119.89377896, 1312.99924528,\n", - " 1401.29666709, 1449.86099827, 1569.62548501, 1616.3243923 ,\n", - " 1710.80942882, 1770.4802298 , 1796.96834106, 1856.03990678,\n", - " 1866.90056507, 1976.53192224, 2034.36430846, 2061.5343444 ,\n", - " 2097.96233179, 2214.1817759 , 2334.78309582, 2394.42831892,\n", - " 2480.57025194, 2519.1232435 , 2573.29072291, 2622.14694358,\n", - " 2713.26982772, 2839.61263363, 2937.04448021, 2995.56491771,\n", - " 3011.30719367, 3131.48008943, 3178.57664889, 3428.53007914,\n", - " 3490.88235352, 3643.84721136, 3764.60572811, 3823.55863198,\n", - " 3910.07713556])" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# wavelength to cm-1:\n", - "\n", - "ne_const_cm = (1/532 - 1/(np.array(list(rc2const.neon_wl_532_nist_dict.keys()))))*10**7\n", - "\n", - "ne_const_cm" - ] - }, - { - "cell_type": "markdown", - "id": "733672da-88c7-47f0-ba23-02071f8dd81e", - "metadata": {}, - "source": [ - "# the spectra" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "id": "fcb799c9-b5d1-45eb-8bf2-e22cac9fd2c2", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 25, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "#folder = 'C:/Users/b_mab/saco SpeICat/PER-Nico/Si-Cal data/ICV_witec/'\n", - "\n", - "neon_tag=\"Neon\"\n", - "si_tag = \"S0B\"\n", - "pst_tag=\"PST\"\n", - "cal_tag='sCal'\n", - "\n", - "laser_wl = 532\n", - "\n", - "file = 'Ne_WiICV532_600gmm_60ms.txt'\n", - "spe_neon = rc2.spectrum.from_local_file(os.path.join(folder,file))\n", - "\n", - "file = 'S0B_WiICV532_Z100OP05_050_400msx10.txt'\n", - "spe_si = rc2.spectrum.from_local_file(os.path.join(folder,file))\n", - "\n", - "file = 'sCAL09_WiICV532_Z100OP05_050_3000msx10.txt'\n", - "spe_cal = rc2.spectrum.from_local_file(os.path.join(folder,file))\n", - "\n", - "#file = 'PST_WiICV532_Z100OP05_050_3000msx5.txt'\n", - "#spe_pst = rc2.spectrum.from_local_file(os.path.join(folder,file))\n", - "\n", - "# Plot\n", - "fig, ax = plt.subplots(4, 1, figsize=(7,8)) \n", - "spe_neon.plot(label=neon_tag,color=\"blue\",ax=ax[0])\n", - "\n", - "#spe_neon = rc2.spectrum.Spectrum(x=spe_neon.x + 15, y=spe_neon.y)\n", - "#spe_neon.plot(ax=ax[0], label = 'shifted', color = 'red')\n", - "\n", - "#ax[0].set_xlabel(\"cm-1\")\n", - "spe_si.plot(label=si_tag,color=\"blue\",ax=ax[1])\n", - "\n", - "#spe_si = rc2.spectrum.Spectrum(x=spe_si.x + 15, y=spe_si.y)\n", - "#spe_si.plot(ax=ax[1], label = 'shifted', color = 'red')\n", - "\n", - "#ax[1].set_xlabel(\"cm-1\")\n", - "spe_cal.plot(label=cal_tag,color=\"blue\",ax=ax[2])\n", - "\n", - "#spe_cal = rc2.spectrum.Spectrum(x=spe_cal.x + 15, y=spe_cal.y)\n", - "#spe_cal.plot(ax=ax[2], label = 'shifted', color = 'red')\n", - "\n", - "#spe_pst.plot(label=pst_tag,color=\"blue\",ax=ax[3])\n" - ] - }, - { - "cell_type": "markdown", - "id": "2e836a4b-5f07-42c0-a21f-43e32af1d36e", - "metadata": {}, - "source": [ - "# Check calibration" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "id": "139d6488-edc8-497d-80e6-67e25082e215", - "metadata": {}, - "outputs": [], - "source": [ - "import ramanchada2.misc.constants as rc2const\n", - "noise_factor = 1.5\n", - "neon_wl = {\n", - " 785: rc2const.neon_wl_785_nist_dict,\n", - " 633: rc2const.neon_wl_633_nist_dict,\n", - " 532: rc2const.neon_wl_532_nist_dict\n", - "}\n", - "\n", - "#####\n", - "# Derive calibration model\n", - "\n", - "from ramanchada2.protocols.calibration import CalibrationModel\n", - "\n", - "def calibration_model(laser_wl,spe_neon,spe_sil):\n", - " calmodel = CalibrationModel(laser_wl)\n", - " calmodel.prominence_coeff = 1\n", - " # find_kw options affect how many peaks will be found\n", - " find_kw = {\"prominence\" :spe_neon.y_noise * calmodel.prominence_coeff , \"wlen\" : 100, \"width\" : 1 }\n", - " model_neon = calmodel.derive_model_curve(spe_neon,neon_wl[laser_wl],spe_units=\"cm-1\",ref_units=\"nm\",find_kw=find_kw,fit_peaks_kw={},should_fit = False,name=\"Neon calibration\")\n", - " spe_sil_ne_calib = model_neon.process(spe_sil,spe_units=\"cm-1\",convert_back=False)\n", - " find_kw = {\"prominence\" :spe_sil_ne_calib.y_noise * calmodel.prominence_coeff , \"wlen\" : 100, \"width\" : 1 }\n", - " model_si = calmodel.derive_model_zero(spe_sil_ne_calib,ref={520.45:1},spe_units=\"nm\",ref_units=\"cm-1\",find_kw=find_kw,fit_peaks_kw={},should_fit=True,name=\"Si calibration\")\n", - "# nico model_si.peaks.to_csv(os.path.join(config_root,template_file.replace(\".xlsx\",\"peaks.csv\")),index=False)\n", - "\n", - " spe_sil_calib = model_si.process(spe_sil_ne_calib,spe_units=\"nm\",convert_back=False)\n", - "\n", - " #fig, ax =plt.subplots(1,1,figsize=(12,2))\n", - " #spe_sil.plot(label=\"{} original\".format(si_tag),ax=ax)\n", - " #spe_sil_calib.plot(ax = ax,label=\"{} laser zeroed\".format(si_tag),fmt=\":\")\n", - " #ax.set_xlim(520.45-50,520.45+50) \n", - " #ax.set_xlabel(\"cm-1\")\n", - " \n", - " return calmodel" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "id": "62a397ba-14b5-421a-a697-8b150e5a3363", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 27, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "calmodel = calibration_model(laser_wl,spe_neon,spe_si)\n", - "calmodel.plot()" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "id": "79a8219d-26ff-4ab9-96f6-807848d9a5de", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "\n", - "spe_cal_calib = calmodel.apply_calibration_x(spe_cal)\n", - "\n", - "fig, ax =plt.subplots(1,1,figsize=(12,2))\n", - "spe_cal.plot(label=\"{} original\".format(si_tag),ax=ax)\n", - "spe_cal_calib.plot(ax = ax,label=\"{} calibrated\".format(si_tag),fmt=\":\")\n", - "\n", - "plt.xlim(1000,1200)\n", - "#plt.xlim(100,300)\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "id": "a8f00c6e-d3cc-490c-83c0-98e208bb9fdb", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "532" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "laser_wl" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "id": "a623b34f-0fbe-46bb-af02-7badadce58f8", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 30, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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48cUXUa9ePURHR6N79+7YuHFjpWJesmQJqlWrhrVr16J169aIiYnBXXfdhUuXLjmst2jRIrRt2xZNmzbF7bffjvnz5zu8f+DAAfTu3RuRkZGoWbMmnn76aeTm5srvDxkyBPfffz8WLFiAjh07onbt2hg1ahTMZnO5sU2ZMgUdOnTARx99hAYNGiAqKgoPP/wwcnJyHMq977778NZbb6FTp064/fbbKxUPAHz66ado27atXPejR4+W38vOzsbw4cNRu3ZtxMXFoXfv3ti/f7/8/v79+9GrVy/ExsYiLi4OnTt3xp9//gkAOHv2LO655x5Ur14d0dHRaNu2LVatWlWpz8MTwfmMXyIiIqISOjWsjuV/nkfPFjWx9JxtGXuoERFRMMo35yNmWoxHZTSd09St7XIn5iI6LLrS6y9duhTjx4/Hrl278M0332DkyJH44YcfcP/99+M///kPZs6ciSeeeAJpaWnIysrC3XffjSFDhuCzzz7D0aNHMWLECERERGDKlCkAgJdeegmbNm3CTz/9hFq1auHFF1/EgQMH0LVrV3mfo0ePxuHDh7Fs2TLUrVsXP/zwA+666y4cOHAAzZs3rzDm/Px8vPfee/j888+h0+nwf//3f3jxxRfx5ZdfAgC+/PJLTJo0CXPmzEH9+vVx8OBBTJgwATExMRg8eDDy8vKQkpKC5ORk7N69G5mZmRg+fDhGjx6NJUuWyPvZuHEj4uPj8e233yI7OxuPPfYYOnTogBEjRpQb28mTJ7F8+XL88ssvMBgMGDZsGP71r3/JsQHA+vXrERsbi6+//hoAKhXP/PnzMW7cOEyfPh39+vVDTk4Otm7dKpf50EMPITIyEqtXr0Z8fDw++ugj9OnTB8ePH0eNGjXw+OOPo2PHjpg/fz70ej327duH0NBQAMCoUaNgMpnwxx9/IDo6GocPH0ZMjGfttzIEKVifbwrAYDAgPj4eOTk5iIuL0zoc8lOSJMlZ/NDQUN5ckUvYfjxT1erPm8fjTtla16+/xfzlzrN45YeD6NO6Fj490wMAsPbxtbiz2Z0uleMsRk/jV24fEhIi/0XdV5+fmvG7WzdatttAPGfU3F6Nsj2Jwd+uGb4o39/iULsNAgi4c8pfPnO1FRYWIjU1FU2aNEFERATyTHkeJ9Tc5UpCrWfPnrBardi8eTMAwGq1Ij4+Hg888AA+++wzAEB6ejrq1KmD7du345dffsH//vc/HDlyRP7sPvzwQ0yYMAE5OTnIz89HzZo18cUXX+Chhx6CJEm4evUqGjZsiBEjRmD27NlIS0tD06ZNkZaWhrp168qx9O3bF926dcNbb73lNOYlS5Zg6NChOHnyJG644QY5hqlTpyI9PR0A0KxZM7zxxht49NFH5R57//3vf7F69Wps27YNCxcuxIQJE3Du3DlER9vqatWqVbjnnntw8eJFJCYmYsiQIdi4cSNOnDgBvV4PQRDwyCOPQKfTYdmyZWXGNmXKFLz55ps4e/Ys6tWrBwBYs2YN+vfvjwsXLiApKQlDhgzBmjVrcPbsWfk8XrRoEV5++WWn8dSrVw9Dhw7Fm2++WWq/W7ZsQf/+/ZGZmYnw8HB5ebNmzTB+/Hg8/fTTiIuLwwcffIDBgweX2v6mm27CwIEDMXnyZKd1b1eyvSu5kidiDzWiCgiCgLCwMK3DoADF9uOZqlZ/3jwed8rWun79LWax6PGeOsW9kV6nd7kcZzF6Gn/J7X39+akdvztla9luA/GcUXN7Ncr2JAZ/u2b4onx/i8MbbTDQzil/+cy9LSo0CrkTc52uk2fKK73MnCf3TDv9/GlEh5ZOjFWULIsKjXIhUlsyxU6v16NmzZpo166dvCwxMREAkJmZiSNHjiA5OdkhEXrLLbcgNzcX58+fR1ZWFkwmE7p37w7A9nnXqlULLVu2lLc5cOAArFYrWrRo4RCH0WhEzZo1KxVzVFSUnEwDgDp16iAz0zZcNi8vD6dOncKwYcMcepJZLBbEx8cDAI4cOYL27dvLySv7cYiiiGPHjsnH3LZtWznpZd/PgQMHnMbWsGFDOZkGAMnJyXK5SUlJAIB27do5JL6OHj3qNB5BEHDx4kX06dOnzH3u378fubm5peqvoKAAp06dAgCMGzcOw4cPx+eff46+ffvioYcekuvw+eefx8iRI/Hrr7+ib9++GDhwoEO78BYm1IiIiIgAHMuwPd1z3eErQKRtWVXpeUBEROQKQRAqTHyV9b4yyZYQneDS0E13KRNGgC125TL773JRFFXZX25uLvR6Pfbs2QO93vEPb5UdZlhWzPaeaPZ5xxYuXCgn9uxK7s+d/ahRD8rEWWVERkY6fT83Nxd16tQpcx66atWqAbD1nhs0aBBWrlyJ1atXY/LkyVi2bBnuv/9+DB8+HCkpKVi5ciV+/fVXTJs2DTNmzMBzzz3nUpyuYkKNqAIWiwUrVqwAAAwYMAAhITxtqPLYfjxT1erPm8fjTtla16+/xWwosJRaJlpd/9LpLEZP41duf9ddd2HNmjVul+UONeN3t260bLeBeM6oub0aZXsSg79dM3xRvr/FoXYbBBBw55S/fOZakyQJ2dnZAGwJD3f+AKVGGa5q3bo1/ve//0GSJHl/W7duRWxsLOrXr48aNWogNDQUO3fuRMOGDSFJEs6cOYPjx4/Lk+937NgRVqsVmZmZuO2221SPMTExEXXr1sXp06cxaNCgMuuodevWWLJkCfLy8uTk1tatW6HT6dCyZUuH8rKysuTtKyMtLQ0XL16Uh7Pu2LGjzHKVn1+rVq2cxhMbG4vGjRtj/fr16NWrV6l9durUCenp6QgJCUHjxo3Lja1FixZo0aIFxo4di8ceewyLFy/G/fffDwBo0KABnn32WTz77LOYOHEiFi5c6PWEGp/ySVQBURSxf/9+7N+/X7W/alDwYPvxTFWrP28ejztla12//hbz490bAgAiQ4u/HomS6/twFqOn8Su3t1gsPv/81Izf3brRst0G4jmj5vZqlO1JDP52zfBF+f4Wh9ptUOv688c2FSgkSUJBQQEKCgpceiqn2mW46l//+hfOnTuH5557DkePHsVPP/2EyZMnY9y4cdDpdIiJicGwYcPw0ksvYcOGDThw4ACeffZZh2RfixYt8Pjjj+PJJ5/E999/j9TUVOzatQvTpk3DypUrVYnz9ddfx7Rp0zBnzhwcPHgQe/fuxaeffor3338fAPD4448jIiICgwcPxsGDB/H777/jueeewxNPPCEP9wQqruOJEyfiySefdFhmL3f//v3YvHkznn/+eTz88MPycM+yyh40aFCF8UyZMgUzZszAnDlzcOLECezduxcffPABANv8c8nJybjvvvvw66+/4syZM9i2bRteeeUV/PnnnygoKMDo0aOxceNGnD17Flu3bsXu3bvRunVrAMCYMWOwdu1apKamYu/evfj999/l97wpONPpRERERCVEh9u+FsWE6wCrbVkQP7uJiIioyqlXrx5WrVqFl156Ce3bt0eNGjUwbNgwvPrqq/I67777LnJzc3HPPfcgNjYWI0aMwPXr1x3KWbx4Md588038+9//xoULF1CrVi306NFD7nnpqeHDhyMqKgrvvvsuxo8fj6ioKNx0000YM2YMANscbGvXrsULL7yArl27IioqCgMHDpQTbpV16dIlpKWlOSxr1qwZHnjgAdx99924du0aBgwYgA8//NBpOZWJZ/DgwSgsLMTMmTPx4osvolatWnjwwQcB2Iairlq1Cq+88gqGDh2Ky5cvIykpCbfffjsSExOh1+tx9epVPPnkk8jIyECtWrXwwAMP4PXXXwdgexjFqFGjcP78ecTFxeGuu+7CzJkzXaoLdzChRkRERARAZ59jRZFDs0pWjaIhIiKiipQ159aZM2dKLVP+geyOO+7Arl27yi0zJiYGn3/+OT7//HOIooj09HSMHDnSoYdWaGgoXn/9dTmh44ohQ4ZgyJAhDsvuu+++Un/EGzRoEB599FH5yZ9JSUnQ6Yp70bdr1w4bNmwodz9LliyR47ebNWtWqXXKMnLkSIwcObLccoHSc9JVFA8APPPMM3jmmWfKfC82NhZz5szBnDlzynz/66+/Lrdce083X2NCjYiIiAjAHycuAwCu5lnkhxK4M+STiIgoWEWHRUOazN7dFBw4hxoRERERgL/PZ5daxoQaERERuaJfv36IiYkp899bb72ldXikIvZQIyIiIgIgoPTTxZhQIyIiIlcsWrQIBQUFZb5Xo0YNH0fjmilTpmDKlClahxEwmFAjIiIiAtCoZhQA4J4OMZh7zLaMCTUiIiJyRb169bQOgXxEkFx8fNWFCxcwYcIErF69Gvn5+WjWrBkWL16MLl26ALBN9jd58mQsXLgQ2dnZuOWWWzB//nw0b95cLuPatWt47rnn8Msvv0Cn02HgwIGYPXs2YmJi5HX+/vtvjBo1Crt370bt2rXx3HPPYfz48Q6xfPvtt3jttddw5swZNG/eHG+//TbuvvvuSh+LwWBAfHw8cnJyEBcX50o1UBCRJAn5+fkAbE8vUT4ymagibD+eqWr1583jcadsrevX32KetvoIPtp0Gvd1isXsI3cAAH545Afc1+o+l8pxFqOn8Su3j4yMlP8C7qvPT8343a0bLdttIJ4zam6vRtmexOBv1wxflO9vcajdBgEE3DnlL5+52goLC5GamoomTZogIiKiwvUlSZInpdfpdG7VgxpleJvWMXq6f2/Gr3XdeMJZe3clT+RSD7WsrCzccsst6NWrF1avXo3atWvjxIkTqF69urzOO++8gzlz5mDp0qVo0qQJXnvtNaSkpODw4cNyoI8//jguXbqEdevWwWw2Y+jQoXj66afx1VdfyQdw5513om/fvliwYAEOHDiAp556CtWqVcPTTz8NANi2bRsee+wxTJs2DQMGDMBXX32F++67D3v37sWNN97oymEROSUIAqKjo7UOgwIU249nqlr9efN43Clb6/r1t5jFosd7Kr8PutNDzVmMnsZfcntff35qx+9O2Vq220A8Z9TcXo2yPYnB364Zvijf3+LwRhsMtHPKXz5zrQmCAL1er3kZ3qZ1jJ7u35vxa103/sClHmovv/wytm7dis2bN5f5viRJqFu3Lv7973/jxRdfBADk5OQgMTERS5YswaOPPoojR46gTZs22L17t9yrbc2aNbj77rtx/vx51K1bF/Pnz8crr7yC9PR0hIWFyfv+8ccfcfToUQDAI488gry8PKxYsULef48ePdChQwcsWLCgzPiMRiOMRqP82mAwoEGDBuyhRkRERHhh2V/4ad9FAMDZyAEAgG8f+hYPtnlQy7CIiIi8ztUeakSBTK0eai495fPnn39Gly5d8NBDDyEhIQEdO3bEwoUL5fdTU1ORnp6Ovn37ysvi4+PRvXt3bN++HQCwfft2VKtWTU6mAUDfvn2h0+mwc+dOeZ3bb79dTqYBQEpKCo4dO4asrCx5HeV+7OvY91OWadOmIT4+Xv7XoEEDVw6fgpTFYsHKlSuxcuVKWCwWrcOhAMP245mqVn/ePB53yta6fv0t5nyTtdQys8XscjnOYvQ0fuX2hYWFPv/81Izf3brRst0G4jmj5vZqlO1JDP52zfBF+f4Wh9ptUOv688c2FSgkSUJ2djays7Oh7KOTb7Kg8csr0fjllcg3Oa+f8srwJ1rH6On+vRm/1nXjD1xKqJ0+fVqeD23t2rUYOXIknn/+eSxduhQAkJ6eDgBITEx02C4xMVF+Lz09HQkJCQ7vh4SEoEaNGg7rlFWGch/lrWN/vywTJ05ETk6O/O/cuXOuHD4FKVEU8eeff+LPP/+Ux4gTVRbbj2eqWv1583jcKVvr+vW3mMf0bV5qmVUsnWSriLMYPY1fub3FYvH556dm/O7WjZbtNhDPGTW3V6NsT2Lwt2uGL8r3tzjUboNa158/tqlAYZ9LLj8/3+1kihpleJvWMXq6f2/Gr3Xd+AOXEmqiKKJTp05466230LFjRzz99NMYMWJEuUMs/U14eDji4uIc/hEREREBQK2YcACAzsM51IiIiMi/TZkyBR06dHBpm969e2PMmDGax0H+w6WEWp06ddCmTRuHZa1bt0ZaWhoAICkpCQCQkZHhsE5GRob8XlJSEjIzMx3et1gsuHbtmsM6ZZWh3Ed569jfJyIiInKFruhpBMo/sjKhRkREVPW8+OKLWL9+vUvbfPfdd3jjjTe8FJF/OnPmDARBwL59+7QOxS+5lFC75ZZbcOzYMYdlx48fR6NGjQAATZo0QVJSkkPDNBgM2LlzJ5KTkwEAycnJyM7Oxp49e+R1NmzYAFEU0b17d3mdP/74A2Zz8bwl69atQ8uWLeUniiYnJ5c6AdatWyfvh4iIiMgVaw5eAgBI8v+5N+STiIiI/JMkSbBYLIiJiUHNmjVd2rZGjRqIjY31UmSBzWQyaR2CJlxKqI0dOxY7duzAW2+9hZMnT+Krr77Cxx9/jFGjRgGwPTZ1zJgxePPNN/Hzzz/jwIEDePLJJ1G3bl3cd999AGw92u666y6MGDECu3btwtatWzF69Gg8+uijqFu3LgBg0KBBCAsLw7Bhw3Do0CF88803mD17NsaNGyfH8sILL2DNmjWYMWMGjh49iilTpuDPP//E6NGjVaoaIiIiCia/H7useGXrrSaCPdSIiCh45Zss5f7LKTCjwGyVX1/JLcTVXKO87dVcI67kFuJKbiGu5Rnl9ZTlFpitDmW4ymg04vnnn0dCQgIiIiJw6623Yvfu3fL7GzduhCAIWL16NTp37ozw8HBs2bKl1FBLi8WC559/HtWqVUPNmjUxYcIEDB48GPfff7+8Tskhn40bN8Zbb72Fp556CrGxsWjYsCE+/vhjh/gmTJiAFi1aICoqCk2bNsVrr73m0HGoIllZWRg9ejTatWuH6OhoNG/eHIsXLwZQ3Hts2bJluPnmmxEREYEbb7wRmzZtcijj6NGj+L//+z/ExcUhMTERTzzxBK5cuSK/L4oi3nnnHTRr1gzh4eFo2LAh/vvf/wKwdZoCgI4dO0IQBPTs2RMAMGTIENx///2YPXs2OnXqhNatWwOw5YR+/PFHh/1Xq1YNS5YscYh5+fLluO222xAZGYmuXbvi+PHj2L17N7p06YKYmBj069cPly9fhr8LcWXlrl274ocffsDEiRMxdepUNGnSBLNmzcLjjz8urzN+/Hjk5eXh6aefRnZ2Nm699VasWbPG4VGkX375JUaPHo0+ffpAp9Nh4MCBmDNnjvx+fHw8fv31V4waNQqdO3dGrVq1MGnSJDz99NPyOjfffDO++uorvPrqq/jPf/6D5s2b48cff8SNN97oSX0QERFRkHKcUFcHwMohn0REFNTaTFrr9ra3vbOxzOVnpvfHrW//jmt5pXs1nZne36V9jB8/Hv/73/+wdOlSNGrUCO+88w5SUlJw8uRJ1KhRQ17v5ZdfxnvvvYemTZuievXq2LjRMba3334bX375JRYvXozWrVtj9uzZ+PHHH+UEUnlmzJiBN954A//5z3/w3XffYeTIkbjjjjvQsmVLAEBsbCyWLFmCunXr4sCBAxgxYgRiY2Mxfvz4Sh3fpEmTcPz4cXzxxRdo2bIlTp8+jYKCAod1XnrpJcyaNQtt2rTB+++/j3vuuQepqamoWbMmsrOz8fDDD+Oxxx7D3LlzYTQaMWHCBDz88MPYsGEDANvDGxcuXIiZM2fi1ltvxaVLl3D06FEAwK5du9CtWzf89ttvaNu2LcLCwuT9btiwAaGhofj6669Rq1atSh2P3eTJkzFr1iw0bNgQTz31FAYNGoTY2FjMnj0bUVFRePjhhzFp0iTMnz/fpXJ9zaWEGgAMGDAAAwYMKPd9QRAwdepUTJ06tdx1atSoga+++srpfm666SZs3rzZ6ToPPfQQHnroIecBExEREVVCTEQoAOCBriJmHrQN9WRCjYiIyD/l5eVh/vz5WLJkCfr16wcAWLhwIdatW4dPPvkEL730krzu1KlT8Y9//KPcsj744ANMnDhR7pE2d+5crFq1qsIY7r77bvzrX/8CYOuNNnPmTPz+++9yQu3VV1+V123cuDFefPFFLFu2rNIJtbS0NNx4441o3749kpKS0LRp01LrjB49GgMHDgQAzJ8/H2vWrMEnn3yC8ePHY968ebjxxhsxceJEJCUlQafT4dNPP0WDBg1w/Phx1KlTB7Nnz8bcuXMxePBgAMANN9yAW2+9FQBQu3ZtAEDNmjVLzVcfHR2N9957D2FhYS7PZf/iiy8iJSUFgG304WOPPYb169fjlltuAQAMGzZM7tXmz1xOqBEFm9DQULzwwgvyz0SuYPvxTFWrP28ejztla12//hazKNp6qOkUE2IIykd+VpKzGD2NX7l9VFSUzz8/NeN3t260bLeBeM6oub0aZXsSg79dM3xRvr/F4Y02GGjnlL985r5yeGpKmcslSUK+0YTwED30ej0EQbAN4TRZ5Z5pm8f3RGSYHoDtwT8RoXp5+y0TekGSJFittj9g2ctwxalTp2A2m+UkDGD7TLp164YjR444rNulS5dyy8nJyUFGRga6desmL9Pr9ejcuTNEUURCQkK52950003yz4IglHoI4zfffIM5c+bg1KlTyM3NhcViQVxcXKWPceTIkXjwwQdx5MgR3Hnnnbj//vtx8803O6yjnEc+JCQEXbp0kY//77//xrZt29CiRYtSZZ86dQrZ2dkwGo3o06dPpWOya9euHerXrw8ALn92ynpLTEyUy1MuK/kwS3/EhBpRBQRBQLVq1bQOgwIU249nqlr9efN43Clb6/r1t5itRQk1CMVDPx2HgVaOsxg9jb/k9r7+/NSO352ytWy3gXjOqLm9GmV7EoO/XTN8Ub6/xeGNNhho55S/fOa+EhVWfsogOtwxoRgVFuIwD1rNmPByty9e7pukZHR0tNvbhoSUXwclk6qCIEAUbb3bt2/fjscffxyvv/46UlJSEB8fj2XLlmHGjBmV3vfdd9+Ns2fPYtWqVVi3bh369OmDUaNG4b333qvU9rm5ubjnnnvw9ttvl3qvTp06OH36dKVjKSk6OrpU3QiCUOq7U1lzxinrzZ6MK7nMXo/+zKWHEhARERFVVUaL7a/k3+3QQ5DCAQBWiU/5JCIi8kc33HADwsLCsHXrVnmZ2WzG7t270aZNm0qXEx8fj8TERIeHGVitVuzdu9ej+LZt24ZGjRrhlVdeQZcuXdC8eXOcPXvW5XJq166NwYMH44svvsCsWbNKPfhgx44d8s8WiwV79uyRHxLQqVMnHDp0CI0bN0azZs0c/tkfchAZGYn169eXuW/7nGn2noSVifXSpUvy6xMnTiA/P9+l4w0k7KFGVAGr1SpfYPr06QO9Xl/BFkTF2H48U9Xqz5vH407ZWtevv8VsEZV/UbWVa7G6/sQxZzF6Gr9y+549e8qTKvvq81MzfnfrRst2G4jnjJrbq1G2JzH42zXDF+X7Wxxqt0EAAXdO+ctnrjVJkmAwGAAAcXFxLg/5U6OM6OhojBw5Ei+99BJq1KiBhg0b4p133kF+fj6GDRvmUlnPPfccpk2bhmbNmqFVq1b44IMPkJWVBUEQkJOT41JZds2bN0daWhqWLVuGrl27YuXKlfjhhx9cKuO1115D69at0bp1a4SGhmLFihVyssxu3rx5aN68OVq3bo2ZM2ciKysLTz31FADgX//6Fz7++GM8+OCD+M9//oOaNWvi5MmTWLZsGRYtWoSIiAhMmDAB48ePR1hYGG655RZcvnwZhw4dwrBhw5CQkIDIyEisWbMG9evXR0REBOLj4+V92+vG/vn17t0bc+fORXJyMqxWKyZMmFClh0azhxpRBaxWK7Zv347t27dXOjNPZMf245mqVn/ePB53yta6fv0t5jfvK35SuADbl3p3E2rlxehp/MrtTSaTzz8/NeN3t260bLeBeM6oub0aZXsSg79dM3xRvr/FoXYb1Lr+/LFNBQpJkpCXl4e8vDy3pkdQq4zp06dj4MCBeOKJJ9CpUyecPHkSa9euRfXq1V0qZ8KECXjsscfw5JNPIjk5GTExMUhJSUF4eLgco6v++c9/YuzYsRg9ejQ6dOiAbdu24bXXXnOpjLCwMEyZMgU333wz7rjjDuj1eixbtsxhnenTp2P69Olo3749tmzZgp9//ll+6madOnXwww8/wGQyISUlBe3atcOYMWNQrVo16IomjX3ttdfw73//G5MmTULr1q3xyCOPyPOXhYSEYM6cOfjoo49Qt25d3HvvvfJ+y/r8ZsyYgQYNGuC2227DoEGD8OKLLyIqKsrlugsU7KFGREREBKBBdeUXPluPAxH+P38HERFRsIqIiMCcOXMwZ86cMt/v2bNnmcm6KVOmYMqUKfLrkJAQfPDBB/jggw8AAKIoonXr1njooYfkdTZs2CAnoQDgzJkzpcrdt2+fw+t33nkH77zzjsOyMWPGlBtHSa+88orc287+lM6SWrdujZ07d5ZbRtOmTbFo0aJyt9fpdHjllVfwyiuvlLn98OHDMXz4cIdlS5YsgSiKSE9Pd1het25drF271mFZdna2/HPjxo1LfR5lfUZDhgzBkCFDyj0mf8GEGhEREREAx5EmtheixIQaERFRZUWFheDM9P5ah+Gys2fP4tdff8Udd9wBo9GIuXPnIjU1FY899pjWoZEf45BPIiIiIgD/23tB8YoJNSIiomCh0+mwZMkSdO3aFbfccgsOHDiA3377rdR8ZURK7KFGREREBGD57nPyz0LR3xzdndOFiIiIAkeDBg0cnhZqJ4r++4e1soZPkm+xhxoRERERAKvDl1JbDzWrGLwTThMRERFR+ZhQIyIiIgJgFW0JtX6d02HFNQAc8klERMGFPZ4oGKjV81CQgviMMRgMiI+PR05ODuLi4rQOh/yUJEm4fPkyAKB27doQHGetJnKK7cczVa3+vHk87pStdf36W8z/nLsFf5/Pwb09LmLO/qcBAJPvmIwpPae4VI6zGD2NX7l9rVq1cOXKFbfLcoea8btbN1q220A8Z9TcXo2yPYnB364Zvijf3+JQuw0CCLhzyl8+c7VZrVacOHECUVFRlTouSZJgsVgA2J6Q6U49qFGGt2kdo6f792b8WteNOyRJgslkwuXLl2G1WtG8efNSTz51JU/EhBoTakRERATg7tmbcfiSAff2OI85+58FAEy6fRJe7/W6xpERERF5X25uLs6fP89ealTlRUVFoU6dOggLCyv1nit5Ij6UgIiIiAiAWHQD8du+ROhQDaKQzSGfREQUNGJiYtC8eXOYzWatQyHyGr1er1qPOibUiCpgtVqxefNmAMBtt90GvV6vcUQUSNh+PFPV6s+bx+NO2VrXr7/FbJ9DLa8wFLrwaIhCNiyixfVynMToafzK7W+++WZs27bN7bLcoWb87taNlu02EM8ZNbdXo2xPYvC3a4Yvyve3ONRugwAC7pzyl8/cW/R6vc/qIRDqUusYq8J1vypjQo2oAlarFZs2bQJgu3kJxgsFuY/txzNVrf68eTzulK11/fpbzHMe64h+szcXvbL91dJidS+hVl6Mnsav3L5Lly4+//zUjN/dutGy3QbiOaPm9mqU7UkM/nbN8EX5/haH2m0QQMCdU/7ymWtNjXoIhLrUOsaqcN2vyviUTyIiIiIArevEoWa0bS4NoegrEod8EhEREVFZmFAjIiIiKlI8n4btv0yoEREREVFZmFAjIiIiAvDVzjRcyTUWvWIPNSIiIiIqHxNqRERERADmrD+heMUeakRERERUPibUiIiIiABYJUn+WWBCjYiIiIicYEKNiIiICIAo2hJqt9y0BybhDADAKlk1jIiIiIiI/JUgSYo/xwYZg8GA+Ph45OTkIC4uTutwyE+JoohLly4BAOrUqQOdjnloqjy2H89Utfrz5vG4U7bW9etvMXeY+iuy883o1WUrlhyaBgB4pvMzWDBggUvlOIvR0/iV2ycmJiIjI8PtstyhZvzu1o2W7TYQzxk1t1ejbE9i8Ldrhi/K97c41G6DAALunPKXz1xratRDINSl1jFWhet+oHElT8SEGhNqREREBKDdlLW4XmhBry6bseTQ2wCApzs9jY/u+UjjyIiIiIjIF1zJE1WNFCIRERGRh+xDPg+caokQsa5tGedQIyIiIqIyhGgdAJG/s1qt2LFjBwCgR48e0Ov1GkdEgYTtxzNVrf68eTzulK11/fpbzPaHElzJSoA+rAYsuAir6Pocas5i9DR+5fZdu3bF7t273S7LHWrG727daNluA/GcUXN7Ncr2JAZ/u2b4onx/i0PtNggg4M4pf/nMtaZGPQRCXWodY1W47ldlTKgRVcBqteK3334DYLt5CcYLBbmP7cczVa3+vHk87pStdf36W8xLhnbDox/vKHple8qnuwm18mL0NH7l9u3bt/f556dm/O7WjZbtNhDPGTW3V6NsT2Lwt2uGL8r3tzjUboMAAu6c8pfPXGtq1EMg1KXWMVaF635VxiGfRERERAB6NK2JlomxAACh6CsSn/JJRERERGVhQo2IiIioiCDIPwHgHGpEREREVDaXEmpTpkyBIAgO/1q1aiW/X1hYiFGjRqFmzZqIiYnBwIED5ce526WlpaF///6IiopCQkICXnrpJVgsFod1Nm7ciE6dOiE8PBzNmjXDkiVLSsUyb948NG7cGBEREejevTt27drlyqEQERERySRJwufbz+Bo+vWiJbavSEyoEREREVFZXO6h1rZtW1y6dEn+t2XLFvm9sWPH4pdffsG3336LTZs24eLFi3jggQfk961WK/r37w+TyYRt27Zh6dKlWLJkCSZNmiSvk5qaiv79+6NXr17Yt28fxowZg+HDh2Pt2rXyOt988w3GjRuHyZMnY+/evWjfvj1SUlKQmZnpbj0QERFRELOIEl776ZBiCXuoEREREVH5XE6ohYSEICkpSf5Xq1YtAEBOTg4++eQTvP/+++jduzc6d+6MxYsXY9u2bfKTH3799VccPnwYX3zxBTp06IB+/frhjTfewLx582AymQAACxYsQJMmTTBjxgy0bt0ao0ePxoMPPoiZM2fKMbz//vsYMWIEhg4dijZt2mDBggWIiorCp59+6jR2o9EIg8Hg8I+IiIjIKkoOrwUm1IiIiIjICZcTaidOnEDdunXRtGlTPP7440hLSwMA7NmzB2azGX379pXXbdWqFRo2bIjt27cDALZv34527dohMTFRXiclJQUGgwGHDh2S11GWYV/HXobJZMKePXsc1tHpdOjbt6+8TnmmTZuG+Ph4+V+DBg1cPXwiIiKqgkSpOKHWssV3KNQdKFrOhBoRERERlSZIkiRVvJrN6tWrkZubi5YtW+LSpUt4/fXXceHCBRw8eBC//PILhg4dCqPR6LBNt27d0KtXL7z99tt4+umncfbsWYfhm/n5+YiOjsaqVavQr18/tGjRAkOHDsXEiRPldVatWoX+/fsjPz8fWVlZqFevHrZt24bk5GR5nfHjx2PTpk3YuXNnufEbjUaH+AwGAxo0aICcnBzExcVVthooyIiiKCeOGzZsCJ2Oz/KgymP78UxVqz9vHo87ZWtdv/4U8/VCM9pN+RUAcGO7RVh58kcAwL0t78WPj/7oUlnOYvQ0fuX29evXx/nz590uyx1qxu9u3WjZbgPxnFFzezXK9iQGf7pm+Kp8f4tD7TYIIODOKX/5zLWmRj0EQl1qHWNVuO4HGoPBgPj4+ErliUJcKbhfv37yzzfddBO6d++ORo0aYfny5YiMjHQvWh8KDw9HeHi41mFQgNHpdGjcuLHWYVCAYvvxTFWrP28ejztla12//hSzqOiIJsGq+LnSf3eUOYvR0/hLbu/rz0/t+N0pW8t2G4jnjJrbq1G2fT1JkiAUP1ZX1X14uo0/le9vcXijDQbaOeUvn7nW1KiHQKhLrWOsCtf9qsyjFGK1atXQokULnDx5EklJSTCZTMjOznZYJyMjA0lJSQCApKSkUk/9tL+uaJ24uDhERkaiVq1a0Ov1Za5jL4OIiIjIFVZFh/1Ll7ohVGwMgEM+ibzhrc1vodGsRrhguKB1KERERG7zKKGWm5uLU6dOoU6dOujcuTNCQ0Oxfv16+f1jx44hLS1NHpqZnJyMAwcOODyNc926dYiLi0ObNm3kdZRl2NexlxEWFobOnTs7rCOKItavX+8wBJRILVarFbt27cKuXbtgtVor3oBIge3HM1Wt/rx5PO6UrXX9+lPMyocSXLvSEaFi/aLlru/DWYyexq/c3mQy+fzzUzN+d+tGy3YbiOeMmtt7UvbcDSfQb/ZmfL49Fa9seAXnDOcw6fdJqu5DrW28HZM3+CoOtdug1vXnj20qUKhRD4FQl1rHGMjX/WDg0pDPF198Effccw8aNWqEixcvYvLkydDr9XjssccQHx+PYcOGYdy4cahRowbi4uLw3HPPITk5GT169AAA3HnnnWjTpg2eeOIJvPPOO0hPT8err76KUaNGyUMxn332WcydOxfjx4/HU089hQ0bNmD58uVYuXKlHMe4ceMwePBgdOnSBd26dcOsWbOQl5eHoUOHqlg1RDZWqxWrV68GAHTo0AF6vV7jiCiQsP14pqrVnzePx52yta5ff4o5LjIEnwzugmFL/yxaYvubo7sJtfJi9DR+5fZt2rTx+eenZvzu1o2W7TYQzxk1t/ek7Is5hThyyYAr14vnM7ZYLaruQ61tvB2TN/gqDrXbIICAO6f85TPXmhr1EAh1qXWMgXzdDwYuJdTOnz+Pxx57DFevXkXt2rVx6623YseOHahduzYAYObMmdDpdBg4cCCMRiNSUlLw4Ycfytvr9XqsWLECI0eORHJyMqKjozF48GBMnTpVXqdJkyZYuXIlxo4di9mzZ6N+/fpYtGgRUlJS5HUeeeQRXL58GZMmTUJ6ejo6dOiANWvWODw9lIiIiKiywkP06NM6Ebc2q4UtJ68AsM3txCGfROqwPwdN59q0aURERH7LpYTasmXLnL4fERGBefPmYd68eeWu06hRI6xatcppOT179sRff/3ldJ3Ro0dj9OjRTtchIiIicoV9jnShqIcaE2pE6vh61znbf3efl5e5+lACIiIif+JSQo2IiIioKrpeaMbaQxnYfOJK0RL2UCPyhnSDEYjUOgoiIiLPefRQAiIiIqKq4PJ1I178dr9iCXuoEREREVH5mFAjIiKioCdKksNrgT3UiLzOfp4REREFIibUiIiIKOhZFXmzmDqzka/fBoAJNSK1RYUF31PgiIioahIkqcSfZIOIwWBAfHw8cnJyEBcXp3U45KdEUcTJkycBAM2aNYNOxzw0VR7bj2eqWv1583jcKVvr+vWnmA9fNODuOZtROzYchdXH4uDlgwCA5PrJ2DZsm0tlOYvR0/iV2zdt2hSnT592uyx3qBm/u3WjZbsNxHNGze09KXv66qNYsOkUnrqlMSbvvREAMLTDUHx676eq7UOtbVyhdZvwdRxqt0EAAXdO+ctnrjU16iEQ6lLrGAP5uh+oXMkTMaHGhBoREVHQO3ghBwM+2IKkuAgY4p/DkStHAADd63XHjuE7NI6OKPC9s+YoPtx4CkNvaYwpRQm1pzo8hU/u/UTjyIiIiIq5kifiUz6JiIgo6FlF298X0w2F0KMPwkQrTLrjsEpWjSMjqhoiQ/WIjwxFRCiHfBIRUdXAhBpRBaxWKw4cOAAAaNeuHfR6fhGkymP78UxVqz9vHo87ZWtdv/4Us1XRYd9quAvhoWdh0h2HKLo+h5qzGD2NX7l9mzZtcPjwYbfLcoea8btbN1q220A8Z9Tc3pOyCy1WNEuIQbu67o8K8adrhq/K97c41G6DAALunPKXz1xratRDINSl1jEG8nU/GDChRlQBq9WKn376CYDt5iUYLxTkPrYfz1S1+vPm8bhTttb1608xN64ZjQ8e64iJ3x9ArtECFD190J0eas5i9DR+5fbNmjXz+eenZvzu1o2W7TYQzxk1t/ek7FOZedhzNgv/vClRXubqzDP+dM3wVfn+FofabRBAwJ1T/vKZa02NegiEutQ6xkC+7geDqjFrHBEREZEHakSH4Z72dfGPNkU3+5LtKxKf8kmkDrEoeSYIgsaREBERqYM91IiIiIiK2O/1haIeakyoEanj18MZAICl29PkZfbzjCjQWGFl+yUiJtSIiIiIMq8XYndqFnaculq0hD3UiLwh9UoeEKF1FETus4gWfIgPoYMOw/OGo0FYA61DIiKNcMgnERERBb0jl65j1Fd7cTGnsGhJ0RxqIp/ySaQmDvmkQHc5/zKu4iou4zKeWfmM1uEQkYaYUCMiIqKgJ4olJ0fnkE8ir2NujQKAKEr4aNMpNH55JR77eIfDwzT2ZezTLjAi0hyHfBIREVHQsxYl1GpEh+GMMAF5lrMAmFAjUluITpFFc+0hn0SaMIsipq0+CgDYfvoqRClBfs/VJ9USUdXChBpRBUJCQvDggw/KPxO5gu3HM1Wt/rx5PO6UrXX9+lPM1qKbosY1o3A8+zisQh4AQHLjjt9ZjJ7Gr9w+IiLC55+fmvG7WzdatttAPGfU3N6Tsl/u1wrTVx/FgJvq4P0jtmWCzrUuav50zfBV+f4WhzfaoL+fUyVzZnq9Xv5ZRPD+0UWNNucv548zWscYyNf9YCBIQZxWNxgMiI+PR05ODuLi4rQOh4iIiDSy+sAljPxyL7o2ro4VV/ug0GKbS61RfCOcGXNG2+CIqoCP/ziFt1YdxQOd6mHmkY4AgBGdRuDjez7WODIi5wpMVrSetEZ+venlG9F4dmMAQO2o2sh8KVOjyIjIG1zJE3EONSIiIgp69h5qu89kIcI4AOHWtgA45JNILXqdDmF6HfR8KAH5mS/+/gK7Luwq9/2SPZWVr/k7gii4BWe/PCIXiKKII0dsYxNat24NnY55aKo8th/PVLX68+bxuFO21vXrTzFbFQ8liDcNAUKWw6g/BKvk+lM+ncXoafzK7Vu2bIljx465XZY71Izf3brRst0G4jmj5vaelH0xuwDdmtTAwE718N5h7+xDrW28HZM3+CoOtdsgAE3r79jlY3jihyfQNLYpTow5Ueb+Sz6zxmK1yD+7My1AVaFGm/OX88cZrWMM5Ot+MAi+IyZykcViwXfffYfvvvsOFoul4g2IFNh+PFPV6s+bx+NO2VrXrz/F3LFBdbwz8CY0rR1dtKToKZ+i670PnMXoafzK7QsLC33++akZv7t1o2W7DcRzRs3tPSn7wPkcbDl5BZcNBfIyV88vf7pm+Kp8f4tD7TaoRf3tSr2Gu2dvxrhv9uFq3lUAQOb1zHL3X3KGJLPFLP8czD3U1Pjs/OX8cUbrGAP5uh8M2EONiIiIgl7DmlFoWDMKxzOv4/TlVNj/5hjMN0tEahLtSQmO+CSNGQrMOHzJgLAQndwunfU0U/ZQC9ULDgm2IJ6OnIjAhBoRERGRTJBvqop6qDGhRqSKP89mAQAWbTkrLxM4nxppYN+5bPm/ohQLwPnTOiND9Zj1SAdIkPDP9vVwJOOQ/B5/RxAFNybUiIiIKOhdzC7AsYzrOHzJAAAQJPZQI/KGw5cMQJjWUVAwyzcVz41pT6Q566EWFqLDfR3rya+V6wbzHGpExIQaEREREf44fhkvf39AsaSoh5qTXgtERBR4lB0j7X80ceVar/xDC//oQhTc+FACIiIiCnoln+JmT6hZRdef8klERP5LOdDYnhBz1tPMaLHi+73n0fjllRj86S6Hp0JzDjWi4MaEGhEREQU9+81Ui8RopIdNxPWQFQDY+4CIqCqrTA+164UWjFu+HwCw6fhlWET2UCMiGw75JKqAXq/HvffeK/9M5Aq2H89Utfrz5vG4U7bW9etPMds7HDSsEQmj4YBiues3S85i9DR+5fZhYWE+//zUjN/dutGy3QbiOaPm9p6UPf2Bdnj5+wO4rXktnCx6LoFOcO1v+/50zfBV+f4WhzfaoK/rLzJMsZ+i7mqCIJS7f7FELzTlwzSCeQ41Ndqcv5w/zmgdYyBf94OBIAVxP1WDwYD4+Hjk5OQgLi5O63CIiIhII59tP4NJPx3CP9rUwqLUHvLycH04Cl8t1DAyoqph+e5zGP+/v9GrZW0sSesOAHi287OYP2C+xpFRsDl4IQcDPtiCxLhwvPmIhDu/uBMCBIiTy/4DSqahEN3eWi+//nZ0PXT7pCMAIEQXAvNrZp/ETUS+4UqeiEM+iYiIKOjZ/7x4ND0XMZZ+CLe2A8DhPESqKerUU7K3D5GvRYTqUCc+AolxEQ5zqJXXz6TkHJvK3wtB3DeFiOBhQm369OkQBAFjxoyRlxUWFmLUqFGoWbMmYmJiMHDgQGRkZDhsl5aWhv79+yMqKgoJCQl46aWXYLFYHNbZuHEjOnXqhPDwcDRr1gxLliwptf958+ahcePGiIiIQPfu3bFr1y5PDoeoTKIo4vjx4zh+/DhEkTdW5Bq2H89Utfrz5vG4U7bW9etPMdtv8s9dK0RN8yjEWHsVLXd9H85i9DR+5fYWi8Xnn5+a8btbN1q220A8Z9Tc3pOy/z6fjd6tEjDuH029tg+1tvF2TN7gqzjUboNa1F+zhFhsn9gHP4++FRax+B7UbC27p1nJYZ1ma/HDaoL5jy5qfHb+cv44o3WMgXzdDwZuJ9R2796Njz76CDfddJPD8rFjx+KXX37Bt99+i02bNuHixYt44IEH5PetViv69+8Pk8mEbdu2YenSpViyZAkmTZokr5Oamor+/fujV69e2LdvH8aMGYPhw4dj7dq18jrffPMNxo0bh8mTJ2Pv3r1o3749UlJSkJmZ6e4hEZXJYrHg66+/xtdff10q8UtUEbYfz1S1+vPm8bhTttb1608xd29SE6//sy26NLZ37bd1p3HnZslZjJ7Gr9y+sLDQ55+fmvG7WzdatttAPGfU3N6TsrefuooNRzNxNbd4CLWrN2D+dM3wVfn+FofabVCL+vv9aCYenL8N01YdgdlSnEQzmoxlrl+yh5rZXBxnMM+hpsZn5y/njzNaxxjI1/1g4FZCLTc3F48//jgWLlyI6tWry8tzcnLwySef4P3330fv3r3RuXNnLF68GNu2bcOOHTsAAL/++isOHz6ML774Ah06dEC/fv3wxhtvYN68eTCZTACABQsWoEmTJpgxYwZat26N0aNH48EHH8TMmTPlfb3//vsYMWIEhg4dijZt2mDBggWIiorCp59+Wm7cRqMRBoPB4R8RERFRm7pxGHxzY9zcLL5oie0rkrNhQERUecWnUXD2YiD/cTnXiD/PZuF4xnWHP5pYJWuZ65f8HWAt8YcW/o4gCl5uJdRGjRqF/v37o2/fvg7L9+zZA7PZ7LC8VatWaNiwIbZv3w4A2L59O9q1a4fExER5nZSUFBgMBhw6dEhep2TZKSkpchkmkwl79uxxWEen06Fv377yOmWZNm0a4uPj5X8NGjRw5/CJiIioihLk3gbFT3EL5iE9RGo5fSUPALBo83l5mfJpiUS+cinb1kvy92OXHRNqYtkJtWpRYZj2QDu8PbAdzkzvj8gwx/eDuZcaUbALcXWDZcuWYe/evdi9e3ep99LT0xEWFoZq1ao5LE9MTER6erq8jjKZZn/f/p6zdQwGAwoKCpCVlQWr1VrmOkePHi039okTJ2LcuHHya4PBwKQaERER4WJ2Ac5dy8e5a7YbLUHxN0dREqFHcD4Onkhte9JygFCto6BgZlLMgabsXVZeD7WY8BA81q2h/LrkH1lESYRO4LP+iIKRSwm1c+fO4YUXXsC6desQERHhrZi8Jjw8HOHh4VqHQURERH7m5/0XMX218o9yjgk1IlILe6WRtoRyeiCX10OtpJJDPPk7gih4uZRK37NnDzIzM9GpUyeEhIQgJCQEmzZtwpw5cxASEoLExESYTCZkZ2c7bJeRkYGkpCQAQFJSUqmnftpfV7ROXFwcIiMjUatWLej1+jLXsZdBREREVFliqTlwOOSTiKgqUo40Vl7fLVLZk6rnmyzYeCwTHaf+ipFf7EGeyTHxxjnUiIKXSwm1Pn364MCBA9i3b5/8r0uXLnj88cfln0NDQ7F+/Xp5m2PHjiEtLQ3JyckAgOTkZBw4cMDhaZzr1q1DXFwc2rRpI6+jLMO+jr2MsLAwdO7c2WEdURSxfv16eR0iIiKiyrLfD3VuHI3MsNdhCPlOfo8JNSI1MflA2lL2kaxMD7X0nEIMWbwbWflmrD6YDpOFPdSIyMalIZ+xsbG48cYbHZZFR0ejZs2a8vJhw4Zh3LhxqFGjBuLi4vDcc88hOTkZPXr0AADceeedaNOmDZ544gm88847SE9Px6uvvopRo0bJwzGfffZZzJ07F+PHj8dTTz2FDRs2YPny5Vi5cqW833HjxmHw4MHo0qULunXrhlmzZiEvLw9Dhw71qEKIStLr9ejXr5/8M5Er2H48U9Xqz5vH407ZWtevP8Vs72FQJz4MBRm7HYYElTevjjsxehq/cvuwsDCff35qxu9u3WjZbgPxnFFze0/KnjeoE0Z9tRctEqNw/JptmavzTvnTNcNX5ftbHN5og76uv/DQ4v04pMbKGY1cMgVc+nVwJonVaHP+cv44o3WMgXzdDwaC5GEf1Z49e6JDhw6YNWsWAKCwsBD//ve/8fXXX8NoNCIlJQUffvihw1DMs2fPYuTIkdi4cSOio6MxePBgTJ8+HSEhxfm9jRs3YuzYsTh8+DDq16+P1157DUOGDHHY99y5c/Huu+8iPT0dHTp0wJw5c9C9e/dKx24wGBAfH4+cnBzExcV5Ug1EREQUwOasP4H31x3HgPbVMO/4rQjVhcIsmgEAWROyUC2imrYBEgW4tYfS8czne9CufjRWXO0FAPhXl39hXv95GkdGwSYrz4SOb6wDALzxaDae/On/AACpL6SicbXGpdY/mXkdfd//Q349+8ko3Pdtb/n19YnXERMW492gichnXMkTufyUz5I2btzo8DoiIgLz5s3DvHnl/3Js1KgRVq1a5bTcnj174q+//nK6zujRozF69OhKx0pERERUFvscahezTYi29IY+JBdm7Cp6j8N5iDxl7/wjisV/y+e5RVrQ6wXER4ZCrxNgESse8lmy+4lVFEu8H5w91IhIhYQaUVUniiLS0tIAAA0bNoROx8diU+Wx/XimqtWfN4/HnbK1rl9/itl+j3/oQgFqWcbBJO6FIcy9hJqzGD2NX7l9/fr1cf78ebfLcoea8btbN1q220A8Z9Tc3pOyfzuSgT6tEvDU7dWx6vOibVQ8t9TcxtsxeYOv4lC7DQLwef3FRYRi/+Q7AQCL/1osLzdbzWWuL1aQUAvWxLAabc5fzh9ntI4xkK/7wSD4jpjIRRaLBUuXLsXSpUthsZT99B+i8rD9eKaq1Z83j8edsrWuX3+K+bbmtTDhrla4ublt2I6yw4GrN0vOYvQ0fuX2hYWFPv/81Izf3brRst0G4jmj5vaelL3ucAbWH81EoclUvI3oWgz+dM3wVfn+FofabVCL+lt14BKe+GQnPtp0ChZr8T6NZmOZ65ecI81kNjt9P1io8dn5y/njjNYxBvJ1PxgwoUZERERBr2vjGhjZ8wZ0bhxZtEQnP5ggWHsfEKnJ3stHUCQfOFSOtHDuWj42n7iCYxnXHa7v5V3rSzbTkgk0/o4gCl4c8klERERURBBsN0pCUUJNglTuvDpEVHk5BbZePZ9vvyIvY0KNtGApyu5+v/cCxtQrboPlXesTYsPx2oA2kCQJj3dvhHWnVju8z3ZMFLyYUCMiIqKgdymnAJevG3E11z6UR2APNSIv2H46T74D4blFWlAmwCxWRUJNKjuhVjMmHMNubSK/FthDjYiKMKFGREREQW/JtjP4aNNp1IrVAyjuoQbwZolITYLiZ55bpDWrVPFTPksq2W6DdQ41ImJCjYiIiEieI0cn3+0zoUbkbUxEkBaUIzQtYsU91HKNFhy5ZMCbKw7jhtox6NiMPdSIyIYJNSIiIgp69iFALZPCcKhgCsIFExNqRF7Gc4u0ICqf4lyJhNrJzFw8tGA7AGD/+Ry0bOiYUOMcakTBiwk1ogro9Xr07dtX/pnIFWw/nqlq9efN43GnbK3r159itt9T1Y7TIT9kM2LCExBmDYPJYnL5pt9ZjJ7Gr9w+LCzM55+fmvG7WzdatttAPGfU3N6Tshc+2QUjPvsTNWL0QKF39qHWNt6OyRt8FYc32qCW9ScqkmHl9ZgslTATBIeXwZoYVqPN+cv544zWMQbydT8YCFIQp9QNBgPi4+ORk5ODuLg4rcMhIiIijbz+yyEs3noG93eJwqxDvdEwviGuG68jqzALR0YdQatarbQOkSig7Uq9hoc/2o761UOwtfAuAMCjNz6Krwd+rXFkFIxav7YGBWYrBvc9jalbnwcAbHhyA3o16VVq3T1nszBw/jb59cv3mTFy7f3y63Njz6F+XH3vB01EPuFKnkjno5iIiIiI/Jb9z4vZ+SKirLdAMLaCTrB9TQrW3gdEarJ36nEYbsdzizQSGaZHRKjOoQ2WN+QTcD7Ek+2YKHhxyCdRBURRxKVLlwAAderUgU7HPDRVHtuPZ6pa/XnzeNwpW+v69aeY7TdIZy9bUNs0EZJ4FojdY9unizdLzmL0NH7l9omJicjIyHC7LHeoGb+7daNluw3Ec0bN7T0p++udaejdKgEPdQfuXl68jZr7UGsbb8fkDb6KQ+02CECT+tv72j8AAG9v+VteZraay1xXLDGey2J1TLwF64AvNdqcv5w/zmgdYyBf94NB8B0xkYssFgsWLVqERYsWwWKxaB0OBRi2H89Utfrz5vG4U7bW9etPMd/Rsjae790Mberb/tYoWiUUFtomenI1oeYsRk/jV25fWFjo889PzfjdrRst220gnjNqbu9u2ZIk4fu/LmDD0UyE6oqTEVaxvB5Bru9DzW28HZM3+CoOtdugFvX3/d7zePqzP7H8z3OwWIv3aTKbyly/ZL7MWiIRHKw91NT47Pzl/HFG6xgD9bofLJhQIyIioqDXu1Uixt3ZEjfWt0+qK/Apn0QqUfbwkSAqlvPcIt87lnEdvx7OwPH065Ua8llqiGeJLmvlPcyAiKo+DvkkIiIiktlvjHTQgXOoEalB+STFb3fnyz8zEUGaKGp2i7ak4sHbim+Hy0uo1a8RhZdSWkKSJAzq3ggrjn3r8D5/RxAFLybUiIiIKOhlGApxvdCMXKPtxkiAjj3UiFSiTKhtOW4E9PblPLfI95TtsdDsOI9jWepVi8SoXs3k1zodH0pARDZMqBEREVHQe//X4/jmz3NlDvl0dZ4nInJU3pztTESQFhyeNKt4Uf5TPktu79hug/WhBETEhBoRERGRPPSsuOcB51AjUosy3+D4MxMR5HvKZmdVvCjvjyfXC804ezUf8zeeQrWoUNSuJTi8H4y/I5SJSBHBd/xEdkyoERERUdCz3xskxQvYEDoLsUIIE2pEKhHLSZzx3CItKNuj8ufyeqj9lZaNJz/dJb8e3sfx/WCbCzCnwIy7Zv2B5KY1EIYCfIgPcW7VOXx636dah0bkc0yoEVVAr9fjjjvukH8mcgXbj2eqWv1583jcKVvr+vWnmO03VXFRQF7Ib0iKvgGhYjSuFVxz+abfWYyexq/cPiwszOefn5rxu1s3WrbbQDxn1Nze3bIjQ/X47KluePLTXQhV3n04dvTxaB9qbuPtmLzBV3F4ow36uv4kh4SaYnk5ibGSSyUEdw+1b3an4VJOIb7/6yL6tr6C62euY/H+xW4l1Pzl/HFG6xgD9bofLAQpiPtaGwwGxMfHIycnB3FxcVqHQ0RERBoZ+80+/PDXBTzYTYcZB+5Gx6SOKLAU4OiVo9g4eCPuaHyH1iESBbTjGddx58w/EBsBHBQGAADuvOFOrP2/tRpHRsHGYhXRa8ZGnLtWgN6d/8biw/8BAHzyz0/wVMenSq3/+7FMDF28W349rG8WJm19Qn7997N/o11iO+8H7ifeXnMU8zeeAgAM7LUB7+94HwAgTQ7atAJVMa7kiXRO3yUiIiIKAva/LxaYRURYO8NSeAP0gu2vrcHW+4CqttNZpzVp0/Y+Pcpbbp5bpIUQvQ6Robbru1X5UILyHkBTIk9U8mGgwdaOY8KLu5leLbiqYSRE2mNCjagCkiQhMzMTmZmZnDyXXMb245mqVn/ePB53yta6fv0pZvs91ZXrQKLpdVzPvB+i1XaTVNknv1UmRk/jV24viqLPPz8143e3brRst4F4zih9uPtD3DDnBgz5bohPr0F5RguWbDuDPq0S8J97Qx22UWsfam7j7Zi8wVdxqH0N0Kr+Vr9wO1Kn3Y1a1YoTQhbRUua6JYeClvydEGxzqPVpnQAAqBUThovZFz0qy1/OH2e0jtGbv3e1jq0qYEKNqAJmsxnz58/H/PnzYTabtQ6HAgzbj2eqWv1583jcKVvr+vWnmHu1qo3htzZBg1q2L4SiVcK1a9dsP7vY+8BZjJ7Gr9w+Pz/f55+fmvG7WzdatttAPGe2n7qK4Uv/xMx1x/HqhlcBAJ8f/tyn16ACsxVf7kzD+qOZiI8sfq/cHkFu7EPNbbwdkzf4Kg61rwFa1N+yXWn49/J9WHc4AxZrcRLNZDGVuX7JHmlWq2O7DbYeaiE6HWrFhKF6VCiOnD3iUVn+cv44o3WM3vy9q3VsVQEfSkBERERB7/6O9XF/R2DB9pMA9AAEPuWTqoRLOQX47UgGjBYrdII2f0u3d1wQBMfziecWaeGvtGz8uO8imifGOrTB8hK8JfvdWMvoXRtMmiXE4M9X/wGTyYQ60/K1DodIU0yoEREREcnsN0ZMqFHVcCmnEACw+cQV6GpqlVCTiv4LrPir9HIiX7IP0Xx37THc0j5WXl7e8P4mtaIwqtcN0AkCHunaAP87ssTh/WD7HfF/i3biROZ1/PfeNihAgdbhEGmKCTUiIiIKeldyjTBaRBgt9ht8HRNqVCUcupgj/6xVDzXFvO/YeFgAQu3LeW6R7ynbY4ExTP65vDnUmiXE4qWUVvJrnS6451C7lFOADIMRYXodE2oU9JhQIyIioqD3n+8P4NfDGbi9tf1ZhAJ0RVPN8qafApkgCPLP9ifX+pqo6Imm7JTGc4u0oGyPohvtsWTPymBrx6cu5wEAXvzfQY0jIdIeE2pEREQU9OSBnoLtJ0HRQ83VidOJ/IlekVBTJtd8ySGBoVgebD17yD84JnWLX5R3rc81WpBhKMTXO9MAAKYwx8R0MA1dtliLz+DM60YgUsNgiPyAS/2+58+fj5tuuglxcXGIi4tDcnIyVq9eLb9fWFiIUaNGoWbNmoiJicHAgQORkZHhUEZaWhr69++PqKgoJCQk4KWXXoLF4ti9duPGjejUqRPCw8PRrFkzLFmypFQs8+bNQ+PGjREREYHu3btj165drhwKERERkcx+QxQTKeJa6AIg9AcO+aQqQScof9b2oQS2F8U/8twiLTj2UFMk1MqZQ23jsUz0mbEJi7akYtGWVBjyHfukBFM7LrSUfawhOvbToeDkUsuvX78+pk+fjubNm0OSJCxduhT33nsv/vrrL7Rt2xZjx47FypUr8e233yI+Ph6jR4/GAw88gK1btwKwPWK4f//+SEpKwrZt23Dp0iU8+eSTCA0NxVtvvQUASE1NRf/+/fHss8/iyy+/xPr16zF8+HDUqVMHKSkpAIBvvvkG48aNw4IFC9C9e3fMmjULKSkpOHbsGBISElSuIgp2er0eycnJ8s9ErmD78UxVqz9vHo87ZWtdv/4Us33YT0SoiOshK3BDXAdYpXjguus3S85i9DR+5fZhYWE+//zUjN/dutGy3QbiOaMrZ8inL69BSfERWPZ0Dzz68Q445tZc69njT9cMX5Xvb3F44xrg6/pTDvOUpOLzQ0TZ1/qSHdBKttpg6mmpTEAq+7sKcK/3q7+cP85oHaM3f+9qHVtVIEge9lGtUaMG3n33XTz44IOoXbs2vvrqKzz44IMAgKNHj6J169bYvn07evTogdWrV2PAgAG4ePEiEhMTAQALFizAhAkTcPnyZYSFhWHChAlYuXIlDh4sHpP96KOPIjs7G2vWrAEAdO/eHV27dsXcuXMBAKIookGDBnjuuefw8ssvlxur0WiE0WiUXxsMBjRo0AA5OTmIi4vzpBqIiIgogA1dvAu/H7uMgT3y8f7+h9GnSR9YJSs2ntmIZQOX4ZEbH9E6RCK37D+XjXvnbUXt2HBci30Gp7NOAwCkyb5NAmQYCtH9rfXQCRJSI+4BAHSp2wW7R+z2aRxE+SYLHv14B/4+n4PWzXZjzYXXAQCv3PYK3uz9Zqn1f9p3AS8s2ye/vjf5Aubse0Z+vWnIJtze6Havx+0PcvLNaD/1VwC2hNqZyAEAgFBdKEyvmTSMjEg9BoMB8fHxlcoTud3v22q1YtmyZcjLy0NycjL27NkDs9mMvn37yuu0atUKDRs2xPbt2wEA27dvR7t27eRkGgCkpKTAYDDg0KFD8jrKMuzr2MswmUzYs2ePwzo6nQ59+/aV1ynPtGnTEB8fL/9r0KCBu4dPREREVYi9x4JVBMKtN6Iwv4E8PC6YhvNQ1ROqt7VjAdoN+QQAe0c5PpSAtBYVFoIa0bane0qVmEOtJFF0TEYH0xxqgg6oV40TpwWCzOuFWLw1FTkFZmw6swnLDy3XOqQqyeXBzgcOHEBycjIKCwsRExODH374AW3atMG+ffsQFhaGatWqOayfmJiI9PR0AEB6erpDMs3+vv09Z+sYDAYUFBQgKysLVqu1zHWOHj3qNPaJEydi3Lhx8mt7DzUiZyRJQk6O7ZHz8fHxmk3oS4GJ7cczVa3+vHk87pStdf36U8z2YSx5RiDJNB3nz1jRtOWsovdcu+l3FqOn8Su3j4uLg8FgcLssd6gZv7t1o2W7DcRzpl71SMx+tAOiw0IwakNxQk2SJJ9dg67kGrHwj9Po364ObmhwHP/+vXgbtfah5jbejskbfBWH2tcAAJrU3/zHO0OChGdWLAcu2pZZREuZ65ZspmKJBcGUGI6LCMWPo25B1//+5rDc3WGv/nL+OKN1jO7u/8lPduFo+nXsPH0VH53uCQDokNgBLWq10Dy2qsTlP1O1bNkS+/btw86dOzFy5EgMHjwYhw8f9kZsqgsPD5cfqGD/R1QRs9mM2bNnY/bs2TCbzVqHQwGG7cczVa3+vHk87pStdf36U8y9WyVgUPeGqBVrv6ESkJZme6JbeRNVuxOjp/Ert8/Pz/f556dm/O7WjZbtNhDPmT/PXMP6I5lINxQ6zHPky2tQVp4JCzenYtupK6gZUzz9iqtP0PWna4avyve3ONS+BmhRf59vP4OpKw7j4AUDrGLxPs3WsvdfMoFmsTom3oJpDjXA9qCT6DA9IsN08oRy7iYV/eX8cUbrGN3d/9H06wCA345kysvOZJ3xi9iqEpd7qIWFhaFZs2YAgM6dO2P37t2YPXs2HnnkEZhMJmRnZzv0UsvIyEBSUhIAICkpqdTTOO1PAVWuU/LJoBkZGYiLi0NkZCT0ej30en2Z69jLICIiInLF0FuaAADmbt9TtEQHSAIgBFfvA6p6Tmbm4uf9FxGq12k25NM+Qk4nCA7nE88t0sIfJ65g3eEMtKsX79AGy0vwVvRQgmBrxzVjwnFo6l04c/UMmtimNA+6OggkDg+CCaLhyb7i8W9VURRhNBrRuXNnhIaGYv369fJ7x44dQ1pamvzkh+TkZBw4cACZmcVZ0nXr1iEuLg5t2rSR11GWYV9H+USrzp07O6wjiiLWr18vr0NERETkFkH5BDPOoUaBL89kSxKsPZSuYULNdl5dzTNh46FIQLLFEWw9e8g/2HMK//nhALJyEuTl5fVGviEhBkNvaYxn7miKdWNvR50a10uUFzztONNQiORp63HHu7+X+t0YTPUQSOIjXe5DRS5wqXYnTpyIfv36oWHDhrh+/Tq++uorbNy4EWvXrkV8fDyGDRuGcePGoUaNGoiLi8Nzzz2H5ORk9OjRAwBw5513ok2bNnjiiSfwzjvvID09Ha+++ipGjRqF8PBwAMCzzz6LuXPnYvz48XjqqaewYcMGLF++HCtXrpTjGDduHAYPHowuXbqgW7dumDVrFvLy8jB06FAVq4aIiIiCRU6BGaIowWJlQo2qlpx825P3co0WxGmcUAOATYdjgQgdAJHnFmlCmfjJLyyeAqi8HmodGlRDhwbV5NehRxzXC6Z2bBElXMopRFiIrtRxi5IIvaDXKDIqaUzf5vhyZxoGda2Hv5w/u5E84FJCLTMzE08++SQuXbqE+Ph43HTTTVi7di3+8Y9/AABmzpwJnU6HgQMHwmg0IiUlBR9++KG8vV6vx4oVKzBy5EgkJycjOjoagwcPxtSpU+V1mjRpgpUrV2Ls2LGYPXs26tevj0WLFiElJUVe55FHHsHly5cxadIkpKeno0OHDlizZk2pBxUQERERVcaIz/7ErtRr6Nc5TF7GhBpVBcpJonXQ5ma3dMcVW0w8t0gLygSvqGiClZ0vs6xEUrCw153JImL8d+cAKQQQLEXvidBrdI2h0sb0bYExfVugoLAA45hQ8xqXEmqffPKJ0/cjIiIwb948zJs3r9x1GjVqhFWrVjktp2fPnvjrr7+crjN69GiMHj3a6TpERERElSLP8VR8o2VPPgTTzRJVPTpFQk3QqPdIyUndBQiQwCFipA1R0ewkh+VlX+vzTRYYCixY8fdFGArMuFYY7vB+MA1dVp6ye8/mQ4jQQ0JxQo38jzJRHExt1Vc4oJaIiIiCnv2GX68TkRWyGAmoXXTL7/qTCIn8iU5Q/Cxp89WfPdTIn5TbQ62ca/2Pf13Ef344IL++46aIEuUFTzsumRyH4snBwVQPgWDKz4ew+cRljLitvtahVGlMqBFVQKfToUuXLvLPRK5g+/FMVas/bx6PO2VrXb/+FLP9JkGnE2EI/R/aVb8FOlQHsly/SXAWo6fxK7cPCQnx+eenZvzu1o2W7TYwzxnFkE9dqENZvoqtRWIsvv/XzXjgw21FSwS4w5+uGb4q39/i8MY1QMv6k6TitmhFOU/5LNGrp9RTP4Oop6VYTnLc9p7rCTV/OX+c0TpGd/e/ZNsZAMDc388Wl6XyPJpa140/EKRgugKUYDAYEB8fj5ycHMTFxVW8AREREVVJ983bin3nsnFvj3TM2T8cD7d9GDpBh2UHl2FWyiy80OMFrUMkcku+yYI2k9YCAJKazsDOS78DAKTJvr0FKDRb0eq1NQCAtIiHIAkFaFq9KU49f8qncRBdzTVi3PL92HT8MhISd2K34Q0AwKB2g/DlA1+WWv/zHWfx2o8H5de33XQSX5wYI7/+8ZEfcW+re70etz84dTkXfWZskl+nRTwCScgDABheNiA2PFar0KiExi/bHuooCMCZiAEAgN+e+A19mvbRMqyA4EqeKDjTiEREREQKxX9flBAmNkNeXm0InEONqoDI0OJ50wQNB6co53IDH/gRtExWE+bs+AAzN+zCvnPZmsRQMyYc9apHAnAcwlju8H6pgh5qQTQvVahOh2YJMfJrgUM+/Z7kMGdg8LRVX2FCjagCkiQhLy8PeXl5QdWlm9TB9uOZqlZ/3jwed8rWun79KWb7MBZJklDHOAsHj/SDyeReQs1ZjJ7Gr9xeFEWff35qxu9u3WjZbgPxnBEEAe8MvAnvPdQeer3FoSxfxXY+Kx/zN57CwE718ejt5yChwK0Y/Oma4avy/S0OT/czY9sMTFi1BLN/vYz75m3VrP5e7tcKu1/pi+o198rLykuolYzKWmLcYzAlkhrWjMK6sbcrlhSnE9ypB385f5zROkY19+8P3z2rGibUiCpgNpvx3nvv4b333oPZbNY6HAowbD+eqWr1583jcadsrevXn2Lu1SoBD3Ssh+hIk7zs+LETAFy/SXAWo6fxK7fPz8/3+eenZvzu1o2W7TYQz5kVf1/E3rQsxITrodcVJwyMJqPPYjufVYCZvx3HvnNZqBWXCwi2c0rNc0vNbbwdkzf4Kg5P97MlbQtCxYaqleeOJVtTMfu3E7iSa4SIwuJYrGXvX6wggRZsiQShqLepbXpGzxJq/nL+OKN1jGru32zR/rtnVcOHEhAREVHQG/ePFgCAGdvWQ4IIAToIHJZGVcBfadlYtvscqkeHOUxIbREtTrZSl/zQD0GACFGxnOdWsLEln9x7KIVaVvx9CX+ezULXxtUd2qBVqlwPtZL5s2Bsx2em98fuc7vR7dNseVkw1kOg4VPL1cceakRERERFbDcEtrsle0KtvJssokBgH5628dhlSGKYvNyXCTV7AuJEZi7+OlUDghRetDy4evaoTZIk7E3LQp7RAotoQRrSYIHvPld3iUKOpvu3t7rJPx9CrqGZvLy8ZEOLxFg81q0BRtzWBD+PvgVJNa6UKC942vGJjOvoPWMjHv14e6kEGhNq/ik8RPEkW36fUR17qBEREVHQKzTbvmRaRRGACEAPTpxOVYE9aXXkkgENIqrJy8sb3uYNyonftx+pAyEiEhKMPLc89O2e8xj/3d/o0KAabrjhe3yKT9EBHfAaXtM6NKesQjYAoE0dbZ4IaW+PGQYjYvV15eXlJRtuaVYLtzSrJb8OO2RyeD+Y2nGhWcTpy3koNFkhSlEO7wVTPQSCt+5vh7dWHUHyDVE4nmpbxoSa+phQIyIioqD3z7lbcDwjF/f0iILcQ03SAQJvEiiwKad/0gnFX/19O+TT8TWHU6vjh70XAAD7zmXjpyvv237GPg0jqpgECUbdIVwIfxa/PXJAkxiU7VHZSbKyw+GCeQ41ezLyYk4hZqyxQifFQRQMRe/xfPYng7o3xKDuDXEs8xgWzbctE0V+RmpjQo2IiIiCnv1+SIJYNIcab/qparAqbvYlxWwvFsmXQz5LJhyEoniCJxHhDdHhevnnqNAo5JvzNYym8iRYIMEInaDNXGrK9uiQUCun906h2QqjRcTGY5m4lFOIrOvRDu8H0+8IZW/TP1PNEMIjACbU/JoyUcweaupjQo2IiIiCnv0mQYIIQ8i3qIP60Avmovd4k0CBS5k8EMXiBIYvh3yWyqdJAnt/qiAqrPhWLjYsNmASaiFSbdQzLsI987bjr1d7+3z/okNCTVAsL7s9Lt12BtNWH5Vft28W5/B+MCWGxRIns4CK64+0MfabfTiZmYvHk8PlZXwogfqYUCOqgE6nQ/v27eWfiVzB9uOZqlZ/3jwed8rWun79KWa5h5okISf0G3SveSdChVjgius3Cc5i9DR+5fYhISE+//zUjN/dutGy3QbiOaMc4eOQPIC6N7/OYuvUsDr+N/JmDJy/rWiJez3U/Oma4avynbmpfjx+3n8RA26qg7VXYpGRl+H1ONQ43lCpIQAgz2TVpP6UOSEJFU/YXlY+WCmYEkklh28rn3HoTj1ofU2tDK1jdHf/P/xlGxL+0cZQeZkvr/vBQpCCadB3CQaDAfHx8cjJyUFcXFzFGxAREVGV1Ou9jUi9koe7ux/F/L9fxMguIxGuD8esnbPw8i0vY1rfaVqHSOSWnAIzbn/nd+QUmFG30bfYnrkUAHDiuRNoVqNZBVurq9Vrq1FoFnE+/ClYdZmoFlENWROyfBpDVZJrtCA734SIUD3u/DIZf6X/BQCQJvvv7d3dX96NrUeiUN0yFABwZnp/n8dwPisf7609hh/3XURE3J84Zp4CAEiun4xtw7aVWn/+xlN4e01xD7Wbmh3BLxdekl8vuXcJBncY7PW4/cHO01fxyMc75NcXwp+GRXcRAHDyuZO4ocYNWoVGJTR+eaX889nIAQCAz+77DE+0f0KrkAKGK3mi4EwjEhERESkoh3yGiHWRlx8HSQwpei94eh9Q1RMfGYq61SIBAFZFU/blkE87+5xZ9mFiPLc8ExMegvrVo1ArJhwxYTFahxMw6lePQrMEW30pe22W10Ot5DDHkj0rg6kdh4Xo0LCG8umenvVQI9/iHGrqY0KNqAKSJMFkMsFkMgXVU3xIHWw/nqlq9efN43GnbK3r159ilhNqkogk47vYtOc25BZEFL3n2k2Csxg9jV+5vSiKPv/81Izf3brRst0G4jkDAM/e0RRT720LfehleZnaCTVnsaVeycOizafxQKd66NP5EKxClryNWvtQcxtvx6Smccv3YdiS3YjU1ZaXefNJfmofr1b190SPxtg8vhciqq+Rl1V2filryWtXEM2h1rFhdfwxvhdqRIcB8HwONa3Pn8rQOkY196/20521rht/wIQaUQXMZjOmTZuGadOmwWz2/V9zKbCx/XimqtWfN4/HnbK1rl9/ivmOFrVxV9skhIWagaI5Rg78fRCA6zcJzmL0NH7l9vn5+T7//NSM39260bLdBuI5878957HvXDZaJMZC0GfLywtMBT6L7cglA95ceQTH03ORUC0LkmACoO65peY23o5JLVtPXsH3ey9g/dFMhAnV5eXXC657bZ+eHm/JpJXRaPJ5/X2yJRULN58GAEhCrry8vCSzWGLisFKvg7Bnlk7Oo3nWQ03ra2plaB2jmvs3mU0qRWWjdd34AybUiIiIKOi9eV87LHiiM2Ki8hW9DWxfk4LxZomqjo3HL2Px1jM4csngkMxQu6eCM/YeoEKJJ3vy3PLM3rPF88+FIFb+OduYrUE0riju1WQpPcu913218yzm/n4SF7MLHNpgpR9KUEbv2mCzZUJvzHoCMAtp8jKez/6PQz7Vx6d8EhERERWx3RAU3fxznieqAuy9aXalXoPFHCkv921CzfbfnanXYA5Ngk6KhijkBdVQOW9Q5qLM1uLbuhxjjgbRuKL4pl4QnKzmJfb819trjsKU2wHAIVtU5Qz5bJEYi3s71EVCbDj6tE7EvD1rgIzi94Ppd8Ses9cw+edDaFY7Bn3ai4BQ3AiDqR4CifIUq+ywZqo8JtSIiIiIioiSCAjWopyarYca/6JLgczeO2z1wXTE1G4sLzeLvhueo+zBs/d4C+jDa0AU8ngD7iHlXF5ms17+OafQfxNqkiRBEmzX1AHtkhCq9/2AKfs5sTctG7rI1vLy8q71d92YhLtuTJJfLzyQ7/B+MCWGDYUWHLxggAABvUqcvzyf/cviIV0xbOluNK4t4EzRKHB+n1EfE2pEREQU9Lr99zdczjWib5coFPdQ45BPCnzKJxQqn2ioxZDPYjy31KBMVAZSD7U8/SYYdYcwps+fmuxf2bNPkgS5C0+le++UaM7B1I7tbe7AhRx8tllAiJgEiy4dQHDVQyDo1SoBp6f1x7oT6/D7V7ZlTKipjwk1IiIiCnqiZBsGJEFU9DbgkE8KfFZF8xVFbRJq5U0xFYxzT6nJqsgMmS2KhJof91ADABE5sAgSosL0pSb498n+Hdpd8TlRXrLBYhUhSsDO1Ks4fTkPOblxJcoLnt8RygfI7knVQxceB4AJNX+mbNcc8qk+JtSIiIgo6Nlv7CWIyNWvRUO0RAhsw3p4k0CBTJm0EhU91Mp7oqE3lM6ZsIeaGpRDPi1WxZBPP++hBgANCr/Cze/8ge3j7/D5vqVyeqiV1x5n/nYc834/Jb9u2iChRHnBkxgu1dtU8uwpn+Q9w5fuhqHQggGdi5No/IzUx4QaUQV0Oh3atGkj/0zkCrYfz1S1+vPm8bhTttb1608xi3JCTYIh9Fs0r3U/InTRQKbrX0Cdxehp/MrtQ0JCfPb55RktePHb/UhpkwBDfQO25GzBaNNo1Ayr6VI5atSNlu02EM8ZhyGfUNz8Qt0bK2ex3da8Fr4Y1h3/98lOh+Wuzj3lT9cMX5XvjP2jHXJzY+zPXwQU5dEMJoPX9unx8QpAuNhWfikJgs/rTyqvh1o5vXdK5pBKJoiDKUlRMqEmKOrPnXrQ+ppaGVrH6O7+fzuSCQC4ppjyT+22qnXd+AMm1IgqEBISgoceekjrMChAsf14pqrVnzePx52yta5ff4pZkv9r+7LZtnVbxITF4Ov1X7v8BdRZjJ7GX3J7X31+H/9xGqsPpmP1wXScjXwfADB923S8e+e7LpWjRt1o2W61PmckQcL5+ufRp2kfhIRU7mv89IE3YcRnf+Lv8zkOc6hJgrq9apzVTWJcBBLjIpAUF4F0Q6E8PyFgS24IlXzUoz9dM3xVvjNP394UD3Wuj/ioUIxYWXydyjPneW2fnh6vIAiIEDsUv9bpfF5/i4d2w9e70rBk2xmHc6K8IZ+lzpQS7TWYHkpQXm9T23uuJ2u0vqZWhtYxerr/kxkAih7w7MvrfrBgQo2IiIiCnn0eH0myQi9VR15hOKJCbEOoOIkvUCsmrNSyzPxMDSIJbgv+XIBxv44DAEiTK3djlBgXgWYJMfj7fI5mQz7tdGXkzURJhF7Ql36DKlQrJhy1YsIBOCYz/P2aJaD487ZqMIday6RY3FQ/Xo5GjqWceivZK6vkEM9g6qEWqtehVkw4ruQai5Z41kONfItzqKkvOPvlERERESnY748kiEgwvoHv/+iIjKxoALxJAIBqUbaEWo+mNeRlOoFfI31l6i+H8caKw9h5br9b2w+4qQ5e7tcKCDspL/PlQwmOZ1zHlzvPYkD7uujUehfMQrr8XjD17vGG349l4oVlf+Hy5dbyMn++abYlo4oTaqJGl9c+rRKxdsztMMcslZeVW28lpw0r9Tp42vA/2iTiz1f7onlCTNESJtQCib8n2wMRe6gRVcBkMmHatGkAgIkTJyIsrPRf6YnKw/bjmapWf948HnfK1rp+/SnmW5rVQr7ZCp1ggf3uac+evYDe9ZsEZzF6Gr9y+3//+9+YMWOG22W5wlJ016tX9DCS3OhZokbdaNlutdi3JEn4dGsqAKB7++Kv7iaTqVL7/3pXGs5dy8c/O9TFO/tOy8sLzYWqxumsbnamXsNrPx7EXW2TUKPaBUhC8ZBEV84vf7pm+Kp8Z9YdzsDYb/Yh12hBbFxicUwWk9f26enxiqLoMOS30GTE66+/63Z57vhkSyoKzVY82rUBRN0VeXlle6iJJbKAwZhI0hUNe/V0DjWtv4dUhtYxqrl/ta8NWteNP+CfFomIiCjoLXiiMz57qhvCwgoAebJ2241CMN4slZRpsA3v2XrqmryMPdR8QzkkzmSKdXn7H/+6gA83nsKpzDyHtuzLIZ/2Hjw6XXAPl1Pb78cykWu09TRU1qrf90KRlEM+fb/7eb+fxLtrj+FqnslxqGwlH0qgnHcNCM5elsufScb4e6+gUHdIXsZz2f/5c+/VQOXSN6Fp06aha9euiI2NRUJCAu677z4cO3bMYZ3CwkKMGjUKNWvWRExMDAYOHIiMjAyHddLS0tC/f39ERUUhISEBL730EiwWx27nGzduRKdOnRAeHo5mzZphyZIlpeKZN28eGjdujIiICHTv3h27du1y5XCIiIiIHIiSqLg50snLgt2JzNxSyyo7kTx5xqLsCehGnduTAQcu5EC0xMvLfTnk0z5H4W9HMnExsz50UnEcwTRcTm2iom0o58fz/5vm4lvQ6HDfz59n73E2Z/0J6Apuk5eXl4hskRiLf7RJxDO3N8XiIV1Ro8ZJh/eD6XfExmOZeGjBNszbeBIRYVZAKK6zYKqHQOX3yfYA5FJCbdOmTRg1ahR27NiBdevWwWw2484770ReXnG37bFjx+KXX37Bt99+i02bNuHixYt44IEH5PetViv69+8Pk8mEbdu2YenSpViyZAkmTZokr5Oamor+/fujV69e2LdvH8aMGYPhw4dj7dq18jrffPMNxo0bh8mTJ2Pv3r1o3749UlJSkJnJCXKJiIjIPbZkmu2mQGBCTRYTXnqWEPZQ8w3lcDNBcj2hZi3afsGmU0B+T3m5TxNqRYdgsog4crobQsV6ivd4frlL2XtRmZf055tmCZL8UIJ/3dEQSXERPo/Bnohc8fclhBhvl5eXl4h8uGsDLHyyCybe3Rq9WiUgPNzg8H4wJYWv5Jqw+0wWjmdcL3Xu8lz2L7+Ns7XtyLCKe2GS+1z6JrRmzRoMGTIEbdu2Rfv27bFkyRKkpaVhz549AICcnBx88skneP/999G7d2907twZixcvxrZt27Bjxw4AwK+//orDhw/jiy++QIcOHdCvXz+88cYbmDdvHkwm25jeBQsWoEmTJpgxYwZat26N0aNH48EHH8TMmTPlWN5//32MGDECQ4cORZs2bbBgwQJERUXh008/LTd+o9EIg8Hg8I+IiIio/eu/os2kNcgvDEfx4Clb8oJfQIEHO9cHACTEhsvLlHPnkPd42kNNmZBTDlUzi74b8llyDipOZK4OZdNQfrb+nlAzhHyP9LAJ6HdjjYo38EYMDs3R9XoL5kSS/VzeeOwyVuyJQ6jYWPFe8NRDIGhaKwZH37gL4+65LC/z52tDoPLoT4s5OTkAgBo1bBfDPXv2wGw2o2/fvvI6rVq1QsOGDbF9+3YAwPbt29GuXTskJhZPnJmSkgKDwYBDhw7J6yjLsK9jL8NkMmHPnj0O6+h0OvTt21depyzTpk1DfHy8/K9BgwaeHD4RERFVEXlGC/JNVkiwwp5QYw+1YnqdfT654jtR9lDzDdHh4Q/uJNSKf5b8ZlhgcRzBOP+UWspLlpacNN/fWHSXYNKdQEyEzqGXna84JHglx+Sus95m+85lY/mf55CXX9NheTC1YWX97EuNRoiUIL/m70r/otMJiAjVOwzL5R8I1ef2Uz5FUcSYMWNwyy234MYbbwQApKenIywsDNWqVXNYNzExEenp6fI6ymSa/X37e87WMRgMKCgoQFZWFqxWa5nrHD16tNyYJ06ciHHjxsmvDQYDk2pEREQk32CJkoh8/TYkSEaECdflZcHOnlBT9pZiQs03lHVuHyrnCtFhWKBezmWxh1rgc0yoFS/3514o9oRMHeOH6DVjL5aP6Or7GBxeOV7HREmEXnA8z6b8fAhf7Dgrn4sJCY1KbRMsSuc/eS77I5NFxLClu6ETBHRupRjy6cfXhkDldkJt1KhROHjwILZs2aJmPF4VHh6O8PDwilckUtDpdGjevLn8M5Er2H48U9Xqz5vH407ZWtevP8Us3yMIIgyh36NdrUhE6aKATNdvEpzF6Gn8yu1DQkJ89vl9tTMNAJCdbwYibcv0OteTO2rUjZbtVot9V4sMRWxECK4XWgBFQq2y+3dIurgxvK2ynNXNnW2S0KRWDEZ89ieA4t6fgGvzT/nTNcNX5Ttj7901pm9zfHbiDaBoKmmL5L358dQ43ghrF4RKSQBsbdLX9eeY4HXcp1WyQl8icW0RRYfEtr03oA46iHDeq62qKZ0c1ynecz2hpvX3kMrQOkZ39m8VJWw+cQUAcDG3eGi12klPrevGH7iVUBs9ejRWrFiBP/74A/Xr15eXJyUlwWQyITs726GXWkZGBpKSkuR1Sj6N0/4UUOU6JZ8MmpGRgbi4OERGRkKv10Ov15e5jr0MIrWEhIRg0KBBWodBAYrtxzNVrf68eTzulK11/fpLzJIkyb077F82u3TuguoR1bHwp4UufwF1FqOn8Zfc3lef3+XrxlLL3EmoqVE3WrZbLfYdotfhhT7NkZ5TiBMFmx1iqYy5gzph1m/H8dO+i4CkuPmFujdWzuqmca1oNK4VjVZJsTiafh3u9mrxl2uGL8t3ZnxKKzx9e1PUiY/EZ6dM8nJvDkH09HglSIix9ileIOh8Xn9fDu+BrSev4P11xx2SzEDRkLgSl7by8mUh+hCYrKag6pklluiiJnjYQ03r7yGVoXWM7uzfqmi0Jy5GyX8IkwR1rw1a140/cCmNKEkSRo8ejR9++AEbNmxAkyZNHN7v3LkzQkNDsX79ennZsWPHkJaWhuTkZABAcnIyDhw44PA0znXr1iEuLg5t2rSR11GWYV/HXkZYWBg6d+7ssI4oili/fr28DhEREVFlOEynI4kQpEgUGENgFTmHml18VCgAoE588RP5OOTTd4bf1hSvDmiD+Jh8l7dtUisa7erFAwAkRULNbPXdkE87QX6oAoeJqaFhzSjcVL8aaseGO/Q49Od5kqySFYKkV7z2fe+uzo2qo3uTol47JZ6cW1bPzZLDHO0v7UNDg2kONb1Oh+gwZcaR57I/Km9uQn++NgQql74JjRo1Cl988QW++uorxMbGIj09Henp6SgoKAAAxMfHY9iwYRg3bhx+//137NmzB0OHDkVycjJ69OgBALjzzjvRpk0bPPHEE9i/fz/Wrl2LV199FaNGjZKHYz777LM4ffo0xo8fj6NHj+LDDz/E8uXLMXbsWDmWcePGYeHChVi6dCmOHDmCkSNHIi8vD0OHDlWrboiIiCgIOA5hEVHb9B98tLoJjp4PL3qfNwlhettXxnvaF09AzYSab1zLM+HtNUfxwfoTbvcG6diwOp7v0xzGkJ3yMovovWGBJR25ZMAPf53HXW2T0LTxRph1Z+T3gikZ4Q0HL+Rg4vd/oyDrNnmZP8+TZLuh1ylea/P5t6kbhx/+dTOuhr/jsLzshINjjPZfGfZeusH0O2JQ94Y4NPUu9GhaOiEZTPXg70oNQy76nPz52hCoXBryOX/+fABAz549HZYvXrwYQ4YMAQDMnDkTOp0OAwcOhNFoREpKCj788EN5Xb1ejxUrVmDkyJFITk5GdHQ0Bg8ejKlTp8rrNGnSBCtXrsTYsWMxe/Zs1K9fH4sWLUJKSoq8ziOPPILLly9j0qRJSE9PR4cOHbBmzZpSDyog8pTJZMJ7770HAHjxxRcRFhamcUQUSNh+PFPV6s+bx+NO2VrXrz/F3K1JDUACrLDAfvO0Z89eQOf6F1BnMXoav3L7559/HnPmzHG7LFdYip4aKCqSMJIbN8Jq1I2W7VaLfWflmzB/4ykAwN03Fyci8gryEBsVW+H2n+84i5x8Ex7p2gCv7toBFH2ERkvpYbyecFY3vx7KwMzfjmNQ94aIiz8Ba0aW/J4rN+H+dM3wVfnOrPz7Ej7Zchp707KhC2stD1U0W7zX+9DT47X1jCzu4WQ0mfHWW2+5XZ47Pt2SCgB4tFsDmIRUh/fK7KEmlnxtu/ZZTLaTKZjmULPTyb1NPZtDTevvIZWhdYzu7L90oloHwKr6tUHruvEHLiXUKnOxiIiIwLx58zBv3rxy12nUqBFWrVrltJyePXvir7/+crrO6NGjMXr06ApjIvKU2ez7YRFUdbD9eKaq1Z83j8edsrWuX3+IOUSvw/JnbFNGPLh8BgB78giAzr2bBGcxehq/cntffX75JttN5paTWbZ8o6AcvucaNepGy3br630rb4wuXimeK7iyT+lcvCUVp6/koXvTmg7JAm8M+Syvbuy9QHVC6fPJ1fPLH64Zvi6/PN/uOYe9adkAiifKB7zfC8WT47VKVoen1VpFyef1N3XFYQDAgJvqlOohWVYPNfs6guA4RYC9x2gw9sya/WhHzNkxD//dWtzr1d160Pp7SGVoHaOr+y89lNqWUPPGtUHrutGa20/5JCIiIqpqRElU3GAF781SSYYC2xfmo+kFQIQOgMh68RGLVfl0QdfnQLMns05l5kKw1gJw0VauD4d82v8ov/P0NRRGNIZeqgGrcM3hPXKdshOKwxNc/XiepJJDPmvHhvt0/8r2tmjLacRY+iE3ZLW8rKyEQ4vEWNzWvBba16+GNnXjMH37l0BBcUItmIYtrzpwCct2n8OtzWoiOsIESSju6VqVfydcwRXoXJstS1MlL6sCdJDg39eGQBU4rYKIiIjIy2w3RvZvonwogV1cRKjila1e+MXcN5Rz/Dkk1CrZQ82edHn5+wOINz4rL/flXDr2GE5k5uJcWgrCxGaK93h+ucvhiYs+7KHmCYtokXuovXhXddxYN86n+1dW2cd/pCLe/KjD+2Vd14bf1hSfD+uOF1Na4u52dRAWbnu4ni4If0ekXcvHH8cv41h6rse9TQNFnikPczEXczDHp3+I8ERiXASOvnGXYknR720/vjYEKibUiIiIKKjlmyzo/MY6dHlzHSxWAfYhn8E8nKekN++/Uf7ZfjMcKDcWgc6iyAAo53KqfEJN2VWheKidLz8/sczhR/b3eH65SzkcWHKY6N9/b5qtkhVZoZ8iI2wSWtXx/WCpkj0ihRK3w5VJOIhB/DvCfi7/b+95bDtcB2FiC8V7VbMeMvMz5Z/VnnvSm8JDdNg36R94rNdeSLA9RNKfrw2BikM+iYiIKKiJEnA1zwQASJREgEM+S9HrlPOl8S/dvmRVZNEsyoRaZYd8KpIugkZJl9LPryhuT8E0XE5tDonKAOmhZhWtMOlOAgBiIiTHXnY+UHp3JRJqTs6LExnXcSzjOgrzE4q2tG0bTMOWlYd68EwCwkIbwaQ7DqDq/a5s/PJKAMDHTzaUlwXSH5IEQUC1qDCEhJjkS64/XxsCFRNqREREFNQch9SJKNT/jXpCTUQKuQD4F10A0CseQCBADwmBdWMRyKyKe1RlbzVXh3zaKHqoST6cQw0lewUVt6eqdhPuSw7XrgCpU/sNfYJxKh6dfwXvDUz36f7L6y0pQIAEqcyEw4Tv/saqA5cQHqrDlVwTYuLbAfgmOHuolfn0yKL3qlA9KJOkV3KL24RJNGkRjssyDIWY9NNBRIeHILJG8edSlT4jf8GEGlEFBEFAo0aN5J+JXMH245mqVn/ePB53yta6fv0lZuX3SwkiroesROeaCYjVx2JVputfQJ3F6Gn8yu11Op3PPr83Vx5RvHJ/3iA16kbLdqvFvtvWjUPnRtWx52wWRLF4n5VNaCoTCILkvSGfzurmn+3rok2dOEz8/kDRE2MVPdRc6N3jL9cMX5bvjH3I5+v/bIvxm18ACm3LvZns9vR4raIVkdZkRIqdANgSvpr+Hipqi3roYYGlzD+gFJituG60QK8PdVgeFhIGWIKrl6Wz3qZq/07QksNQe0nZS9j3f0hyp46uF1qw9lAGAKBp3abQSdEQhTzVE2r++vn5EhNqRBUIDQ3FkCFDtA6DAhTbj2eqWv1583jcKVvr+vWXmJUJB7God8Ltt92OhOgEzPpylstfQJ3F6Gn8Jbf31ed3+JJB/tk+h5p9HiFXqFE3WrZbLfYdHR6CJ5MboWVSLA5mbwOuFr1RyZmQFw3ugl8PZWDu7yeh7KHmzufnjLO6aVs3Hm3rxuOrnWnYmXrNYXhiRefXlVwjBs7fhoGd6qN7y2t4Les1vH/n+wgNDXW6XWXiUoOW7fGN+26EocCCFokx+PeWbHm52p+tkqfHa5WsqGYeVLxAp/Np/YXqdfjsqW44ezUPr/10CPYTKSIsArmm3DJ7qNl/Q9h76tp7A1aPr47Mq5lB1eundA8/zxJqWn8PKY/y6cqKQ4Sk833y1J06Un5Opy8mQQiPBIQ8n173gwUTakRERBTUlF+PRckKSCGwWHVyb6Bgulkqj6Vo3OFNDfRIu5wPgHOx+NK9Herh3g71MOTHGUCabVllh3zeVL8asvPNwO/FyVBAm54WOrkHQ+WHif2y/yLOXs3H++uOw7z/aVy8fhEPf/cwpLbB0yuoPG3rxss/K89Hfx6mbpWsDu3Q13Oo6XUCbm9RG+euRQMoTqiF6mwJ2rLOC3tyQqdz7IGj19mOI5jmUAMAnaDsqVY1h3yaFXNXmhXnU2XnrtSatZyhuf58bQhUfMonERERBTXHeYgk1DS/gKnLq2PjYfv7VecmwV324S93tBEgCcaiZZxDzRdOX87FB+tP4Ls95x3q3JUbu/rVIzH45vrIDflNXubLG6sD53Ow5mA6+rZJRFzCzzDpjsnvVTRcrk58JACgU8NqKLQUejXOQJSeU4jXfzmEsPyB8jJ/TnZbRItDQs2qUTKqdmw4FjzZBplhkwEAoUXDOcs8L4pClHuoya+LeusG0e+Isf9ogdPT+qP/TXUAVN35EK2KHmrK88lkDYw51Eom1AQ+TMhr2EONqAImkwmzZ88GALzwwgsICwvTOCIKJGw/nqlq9efN43GnbK3r119i1gsC2tWz9fTIR/FTPvft2w8Irt8kOIvR0/iV248cORLz5893uyxXmItuLixWY/Eyi+t/qVejbrRst1rs+2RmLmasO44mtaJRo17xTVK+Mb9S23+2/QzMVgnDb6uPqX/9JC9X+8bQWd18seMsvvnzHF5KaYnQ6D9huZ4hv1fR+WUp6ikSotc53LybTCa/uM5p2R5/2ncBO05fxde7ziFc6AlEfAIAsFi9l+z29HhtCaviPh0mswXvvvuu2+W5ymix4vu9FyAA6N02Bkb9IdvyfNu1rayEg/2PLvanHdsTalcv28ZfB9Mcanbu9DYti9bfQ8qj7KFWYCxO5OcV5vk8FnfqqLyHb6h9bfDXz8+XmFAjqoT8/Mp9aSUqC9uPZ6pa/XnzeNwpW+v69YeYq0eH4ZfnbgUA9FoqAkVzjFgsViDUvb/oOovR0/iV2/vq87MP+Tx2SYQgRUASCt3uoaZG3WjZbn29b3tPg9QrebgudQLwFYDKD/l8Z80x5Bot6NykQ4ly1e+pUF7d2Hs4huiEUu2moptw20MMgIvZBW5Peu3tz0yr9jh/4ykcTb9e9Ko4seHtXiieHG/JIZ9WUfJp/RWYrJj4/QEAwPbWXYrfkOzxlDGHWtF7Op3ja/tQz6rUM6uyXrm7NcwRP2Dh/vXyMnfrQevvIRUxWhRDPit53VWbq3XkyyGf/v75eRsTakRERERFbDdI9i+inEPNzp4Q2XAoFCHhtWEWznHoiI8oh8RZFU/5rOyQT3tPhfQcI/RibVh1lwH4dsiutai3x5FLBhTm3QC9dAFWoah3TwVD/o4XJYzOZxVAV5Oz1Sg53DRLioSaH8+TZBWtQNHTZuMiJdSrFoELPty/ssr+tycDsZYByNWvhE4of0jcDQnR6JxbHT1b1EadapF4c+unQBagK0pSBNMcat/tOY91h9PxjzZJiI7MgygU99iqSr8rE2Ij8OOoW5BntCCzYJ+8PFCGfJbMp9mT2Py9rT7+ViIiIiIqIkoipKIeavY5R6rSTYK7wkOUXxltX8w5h5pvKJMmypukyvaUsCfUnv3sCJJM78jLffn52ROyP+67COOVYYiwdlDE5/z8Uk4E724PtarKcf4xQbHcf2+abXOo2a4nz/SxoE+rBJ/uXzkU7r0151DD/CwE6OXhxGUlI19KaYX/jbwZz/Vpjgc710dI+FkAxfOHBdPviGPpBqw9lIETGddLHXdVq4cODarhlma1EBmumLtSox5qrurYoBqOvnEXYiPs/ac4h5q3MKFGREREQS09pxC3vr0Bfd/fVHRDYLspkILwZqk8a8bcjqS4iKJXfFqYLzkk1BQ91CqbEHPoqSAph9r57vMrb/gRUPH5JTj8zISakuMTMgOkh5pkxZWw2bgcNg1xUb5PypeeW8rWe0fnQsLBPmea3EMtiOZQsze5dUcycOh0U4Rbb1S8VzV/VyqvtYHSQ02nExARqse6sXfg1k6rYBZsj4f252tDoGJCjYiIiIKa2SrifFYBLmQVFN0YcchnWewTctuHjlgk9lDzBYtDDzU3hnwqtlfOXeXLz89S6olzxSpKRqTcmFS8HXuoOXCsVt/NoeYJq2hFof5P5Ou3IjxUg2trGc3NIaHmJOFw7lo+1h/JgKkwqWi74PsdYU9Inr6ch+PnmiJcbK14r+rUw6nLuWj88ko0fnklzl4JvISaXVJ8BEJC8wDB1q79+doQqDiHGhEREQU1e4cFoeiJnibdKdTEWcTocgFUrZsET+h1jk91E0XWiy8oE2KSMqHm4pBPm+Kki2/nUHO/h1rjmtGKrfRO1gw+1nKSpf56zbINqbfFXN30NP6zLAqXeqb6OIbSy3TKIZ9lJBzGfrMPW09eQYMaUdhzNguhUbcCWBWUPdRKd/Arvib5a7tzR56x+Pp47FLxQQfKVAfH0q9j/saTqF89yiFJzB5q6mNCjagCgiCgbt268s9ErmD78UxVqz9vHo87ZWtdv/4Sszx8RxAgSiJyQ9YiuUYzVNNVwy9XXP8C6ixGT+NXbq/T6Xz2+Q1bshtp12xP8hIk9+dQU6NutGy3Wuy7T+tEPNYtG1/vOufxkE+HHmoq3xg6q5shNzfGnW0SsWhLKk5m5kJ5E17RhO6hesUcaopbF3+5zmnZHu3J0vceuhGP/dxDXu7Nm2ZPjtceV5TldkRbe8ICAWar6NP6K2vIp07QIzw0HDCXXXdZ+SZkXjciIS4cQHEnt4jwCMBYtRJJFSlZf4ILyfGyyxOxPmo9bgi7wa++55mtxcdpsoqKn33fQ82dcy7dUIgf910EANRJ6IAQcR0sugzV26rW3yP9ARNqRBUIDQ3FiBEjtA6DAhTbj2eqWv1583jcKVvr+vWXmMUSPdQAoF9KP9SLq4f/fvRfl7+AOovR0/hLbu+rz++PE5cVr4p6qMH1L+Zq1I2W7VaLfdeODccDneqj0Cxi/bn1QNFD9UShcvX/xbDuOJeVj4nfH4A3hwU6q5vbW9QGAPx+LLNUQq2i8+t4xnX5ZwGhDvvzNC41aNkeZzzcHkaziDb1ImDRpcvLvTmc15Pjtbe5WuZxxclRQefT+qseFYYF/9cZoiThX1/uBQCEh0YisXYi0i6mlXle2HNIejlhYPtvowaNcOTkkaB6ymfphKTrPdQKTFZczTMiMlSPjWkrsTl/Mzbnb8bi0MUqRuoZZe9PRW4NkuD7z9qdc07Zs/lSZivow2rBggyfXveDBRNqREREFNTsNwgCinvLCEX/s70fPL0PyiJJkvzX+g43ZGLFeduNe6AMfakKujauga6Na6DHomflhFpl51C7tXktXMopAODYQ02LoT+6EgkJoOLza+Ox4mSuLjg7QJTr5htqAQByTbkOy/11WFfxNUOZ2PVtgiIyTI+7bkxySDjoBD30Otu5UVbd2X9H2J84W5xg0xe9Hzy/I0oPmXU9obYj9SqGLt6NG+vF4cHbrle8gQYsil5pZo17qLmjvGH2nENNfXwoAREREQU1+82RTmcb8lnNPBT/+lTCZ1sMAILrZqksygnl2za5CKvuCgB+MfeVv89nY9Hm0/jj+GWHJGZl51ADgOjwEAxoH4/r+tXyMl8mRPeczcIfxy+jT+tE5EYshlF3WE5GVDT/lL39PXVLEwj6yh9zsCg0WzFr3SlUMw8GJP++abaKVkASHIcJljWpmQ/odAIm35eIjLAp0OnMcnt0Vnf6EkPa7Em4YJpD7fV/tsXRN+7CoO4Ni5a4PuTTUvQHGkkCokOL50j0pz/SmBXt0mQJwIRaOUNz/TXZHsjYQ42oAmazGfPmzQMAjBo1qtJDDIgAth9PVbX68+bxuFO21vXrLzGH6gU0S4hBbEQIUhU3BIcOHQbgekLNWYyexq/c/umnn8bHH3/sdlmVZVHOJWMpKI6lkj2klNSoGy3brRb73nbqKqavPop72teF2VJ8Q19oLqxwW4tVxDd/noNOEPBs75qYd/zj4vdUvnl1VjdTVxzG/nPZWPRkF+SGrIDZakSoFAorrBWeX/aeIqH64l6j9v35w3VOy/b4w1/nkZVnxqLN5xGPh5Ad8hUA0as3zZ4cry1Z5fhgCbPFilmzZrlVnjtyjRasP5KBML0O3ZpGolD/J0KMMUi/aOt5W1bdyX90ERQ91AQg9ZTtgQrB9EeXUL0OoXogPMSWoBHc6KF2Lc8IADh00QCdVPx5X829isS4RBWjdZ9V8dAdk6W4TVTmuqs2d8650onq8ntg+jq2qoYJNaIKSJKEnJwc+WciV7D9eKaq1Z83j8edsrWuX3+JuVHNaPw27g4AQPsFElA0N5jJbAZCXb9Zchajp/ErtxdF0Sefn3JC5ozsCOikWIjCdbe+mKtRN1q2Wy32bR+688v+i9CFPg2E/AmgcglNk1XEKz8cBAD877mGDu+pnVBzVjf2m1O9XpD3a39CYkXnl3248eVcIyAV37pofZ07dy0fqw5cwkOd6uBIzhGkIQ3PWJ/x6Q3l5J8OwVBY/DkK0EGCd3uoeVKfVtHq0DvNtsy351SmoRAvLNuHuIgQfDmyrrxfq9VWZ2XVXfGQT8fl1qJES1X4fuKqEbc1xYGcRfjx5Ep5WWV/V4aFFFdkoaLDV3Zhtt8k1HSK3ojKPyoZrUafx+LOOVcyn2Y/73x53Q8WTKgRERERFbHdEBR9KZQ4hxrgOJfMH/s6IjzsRhTot/vV8JyqTDkXjiQV34hWJqGmvKkyFFigk6pBRA4gSD79/Ow3pGev5CHE0grQpUMv2Ho7VnQTZilKxn2/9wL0tZMAnKjUdt424IMtyCkwI/XydXwMW8+/rw5+hWFdhvkshtKjJb03rMtosUIUbf1crEX/c5WtzRX3UKtTvRANa0bivHphVsheZzqdgA1HchFt6QtBvw86ofy6a1QzGln5ZvRtnYj+7epgyuaPgAIE5TybX+48iz1nsnBP+7qIjroGq3BNfq+y9aA8da8bi69DBqNBtTg91bNlAtaNvR2pV/Kw4exy/FT0zA+LNTB+75Wem7Do6dxefGBJsOIcakRERERFbDcEtpsCqehmyV/nI/IVqyghRDEbvMDJjX3KUl5CrRJzqCmfyDd00UU0KPwCAiIA+PbzsycF5288hSTT24iy3FbpHmoWh0fsFfcFcGUOOW/IKbDtf0dqlrzs78y/fRpDyYnHvXVuSpKEW6ZvQPupv8JkETEXc/EW3sJ1o2sTylslxx5qD95yDk90b+hkC/UVP3gG+PC3LNQyj4FeipOTY2XV3bQH2mH1C7dh+G1N8URyYwgRtukA7G04mOZQ23MmC9//dQEnMq+XOnddnUMNAPIKi+s7x5ijTpAqaZ4YizvbJiEupvihH4Eyh9pdbZOwb9I/0CopFgDkp+q6M1UDOceEGhEREQW1k5nX8Y/3N+HxRTsgSiIk2G8Kgq/3QVkS4iJw8q27kdy0pm2BVPSXbvZQ8wnlXD7Kr+6VSSiV1XS9NfTHGXviJ0QvFMUgQI/KPSHRrLj5FhSDa/zlxlY5T729l5OviOX0QlG7h5rJKuJKrgkmi4hzWQXIgi2J+FfGXy6VYxWtEGHEldD3cCX0fUhu9HLzlD1Brdfp5KfG6hAiJ8cqU3f2NhuMPdTsbW5X6jWkXWyFCGt7xXuVqwez4pp23ei/CTU7ZZswif5x3alIWIgO1aLCsGhwFzS8YTEKdHsAaP+HiKqICTUiIiIKagUmEScyc5F6Oa+o94L9JjX4bpacKU6GVK5nEalDMeLWjSGfZfWc8X1C1J7ECA2xZ590CClKjlXUm2rIzY3lnwUUz0+mdULtxnpxAIBRdzSVlwklngLpbaU/3+IeU2oOiS00FzdCSfF5uZpAtIgWQLAgL2Qj8kI2QNQgoWZWPuSiKHwdQpz2ULPLvF6IbaeuQDTXLdou+K6F9k6Rm09cwdkLHRBp7epyPTSrHSP/nGcs3ian0H8SauuPZKDrf3/DLdM34NzlSHl5oPXwql896v/bO+84O6ry/7+n3rJ9s9nd7KYXQg8lgFFAkEixgY0iCiiCCCiKIkWRoj9AUaQpCBbkC4iigIiCRloghEBCEhICaaQn2/veNuX8/pg7c+8mu8ne5G5J9rxfL8ju3LPnnjnnmTNzPvM8z0EzmhGKt5mC7dpDHi6/ryFzqEkkEolEIhnR+ItSRVFwhYulbGWUWkexGkt/PnIWSztDUzNiCEgPtcGih4eayOSf6o+nQXYeHQVPKtYwcBkaD7VwsDOgjpEWx3a1QD1kbAkHjilmxbaOHoLiUAtqWlo8KwxlllOD7aHWV8gneMKQruRnqZe0MiLT6OLMd+R6vtliVZH9Kf7wn+m0N7yPuedN7De+x6OuKahK2lsNHTXtmdybh9rlj73N8i3tHDaulKeXbAXzdNDmBSLcSBIo/PuloakkbRdPVlRxcft9rzxm8iiO3280c1c1EktlCWrDyEOtriNBY6e3AYGysTI4PtTzTn95a30LT769hQNrincYl3zODRIpqEkku0RRFEaPHh38LJHkgrSfPWNf67+BPJ/dqXuo+3e4tDnwR1M88Symv8KJFTMpV8t5piV3QW1nbdzT9mf/vaqqgzJ+m1pi3PzsCl5e2eh91x6EleWjb4bSbofiu790zARqSiPc9M8VZCd0748gFuxOqHj/2S4YhLDw7FoIkbfz2FnffGf2NDoSNq+v3cb7dd2ATkSPgN2/Baq/K6DrZglq/Qy9Gqgx+/iBVexXVURtWcZ7ZTAFNSFE4C10yxdqueCfn8MhI0g4roOu5mep53uoRQwNl4wAqilaX3/SK7Zro4gQYfcIIs4xJFyd7qRN7SBeU3bgoabif1tIixA2VEj17qG2rT3B+uYY+1d7Xon+PSMajkJiZL108bXDzAsWBV3RsYWdUz8cMb4UQ1UIm3XBseG0KUG2WJ3981C8SNqdOWxlXSd/fnMjAIVlx2K69aTUlYD3EiNfc8NQP0cOB6SgJpHsAsMwuPTSS4e6GZK9FGk/e8a+1n8DeT67U/dQ9+9waXNGdFCC5NJf+PwXmFg6kR/+8oc5L5Z21sY9bf/2fz8Y49caSzFnRX3WkbSH2m7sFpaPvhlKux2K755UUUCBOYb5a5v515pXg+P9STxfHDZ48LyZuELwrT8vAheioSJiqUwd+fJU2FnffHHmOABWNzQBoGIwYewE1q1ft0tB7fW1TSzZ1AZ4gqCPUPrnFTRQY3ZgTTGbWuKsrO/OfJdm7OQv8s/9Xz4Cx4XxlW1Y6joM1cBKC922axMilJfvSdhenWFDxVGyQj613AREy7HQxCgqUz8Mjrkog3pNTR5dyF1nH0bE0Pj+3xYCCqNHVTG1KsySd5f0+qLA90DLFpEADj34UOYtnDeiNiXwz9XfqEZBIRKKkEgk+n2v7E7anDdrIlFT44G35wfHu6yunfzV4JKdu9FxM0LRUOySuTtzWPbu3F2tHyZkvBMIavkUBYf6OXI4kPNrlLlz5/LpT3+ampoaFEXh6aef7vG5EIIf//jHjBkzhkgkwuzZs1m9enWPMi0tLZx77rkUFxdTWlrKhRdeSFdXzwvonXfe4bjjjiMcDjNu3Dh+/vOf79CWJ554gv33359wOMwhhxzCv//971xPRyKRSCQSyQgn2PVNyXgaqIoaeJv4njwjleyFRVX1m6TUNUD+E59L+qayOMwD582kO3p/cKw/IZ9hQ+PjB1ZxykHVQQJ2XcsE2A22t4Wm+uK1iZlux67O4/5XPgA8LzVbaQiOD3Xo1XvbOvnLwk28sa4pODaYHmqKonDqwWP45KFj0DSvX82ssc3nTp9VxWEOG1dK2NBY25jxIsp1DCzX6rGxBPQMSx4MRheFOP2wWk4+qDrYUMJQzcDbrrd+8x2UVNUP8fT+9f9mJHmo+RHo2SkAfG+n/vbDA3M/4IifzOEnz67oEfI9nEI+swUpN0tQ21s2Jci+b3vktqGNpP/kPOt3d3czY8YMfv3rX/f6+c9//nPuvvtu7r//fhYsWEBBQQGnnHIKiUQiKHPuuefy7rvvMmfOHJ599lnmzp3LxRdfHHze0dHBySefzIQJE1i0aBG33347N954Iw888EBQ5vXXX+ecc87hwgsvZPHixZxxxhmcccYZLF++PNdTkkgkEolEMoLx13NqOodakf0ZvnJfI//v2fWZMnnwQEjaDol0LqLhlHx5V/hJvKeMLqCsYgEpdS0gc6gNFm980Myf39zIiq0dPfo810XRrGk6XdocTG3ww5feWt/CwvUtHDouQqv+ELaxJBB/diXK+Avb279wKCk185I+6SQHrsH9oDvp9V0slWn/YOdQ8/n7W62UWGcTUsqDY/kUvEsiBrGUzbb2BJtaMx55udqgJ570FNRcd+heVnzmqBiN5q1EwjE0te9Qdr+F2nYRbf7fjKQXLr88cwaLr/84X5w5Nn1EyVlQs91M2G1quApq2SGfWcO7t2xKYLk9x0IRmetubzmHvYWcfbxPO+00TjvttF4/E0Jw55138qMf/YjTTz8dgIcffpiqqiqefvppzj77bN577z2ef/553nrrLWbOnAnAPffcwyc+8Ql+8YtfUFNTw6OPPkoqleIPf/gDpmly0EEHsWTJEu64445AeLvrrrs49dRTueqqqwD4yU9+wpw5c7j33nu5//77e21fMpkkmczcfDs6hk+ctmT4YlkWDz74IAAXXXQRhjG47vySvRtpP3vGvtZ/A3k+u1P3UPfvcGmzoanUlkaoLAqxJuaC0Eja8N7KzOLdFW6/F8u9tTFhOXz09pcoDOlUi9/xWPejPPDJB7ho5kU5tTW77gsuuICHHnqox/cMBLaTSUKdsjPiwe54wOxs/Po7tkNpt0Px3X9ftJknFm3mB6dO9zYoEIACSWvXglJX0ua/79ZhaCrnHWfy0Lq70OKZBNv5FNR21jfn/f5N4pbDwxdNosP4G2HCbFo/HeiPoJaxv2wBJ5aM7XG79oTfvOwJy2sbswSmQVyo2o7Lv5fXoSrw5zfaKbW/TFtysR+NmFcPNcjkseuMZ/q9v2Pg05uHmu24/OY3vwEG55ra1h5n6aY2RheFmDImRkybR0PdgcTrm4E++i0rLYD3u/fvsneWASPLQ60gpFMQgqjpj6NKIuY5zvRbUEtf0w+9vp6J1bXB8fb4MBLUskM+s0wiYSV6KT2w7M4cZu/goZbbhjYD2bZ9jbzmUFu3bh11dXXMnj07OFZSUsIxxxzD/PnzOfvss5k/fz6lpaWBmAYwe/ZsVFVlwYIFfPazn2X+/Pkcf/zxmGbGbfmUU07hZz/7Ga2trZSVlTF//nyuvPLKHt9/yimn7BCCms2tt97KTTfdlL8TlowIhBA0NjYGP0skuSDtZ8/Y1/pvIM9nd+oe6v4dLm2eMa6Uedd8DICxdwhI5whKJlP428/lsmDqrY3z1jRR35GkniQvhZ8ABb773+/mLKhl1+267qCMn/+mu6kriWaWoYpSXKVtt8SYnY1ff8d2KO12KL7bD4n7+fMrqeIJNoTPAOx+LYqaOpNc+delFJgad13gPfYLZ2A81HbWN5mk3t61pQgFO+V9964ENd/+upM2lp1xEUra/fNQG+gxE1lzw2CGoSZsl2//eTEAYSOdz0qoGUEtjx5qW9viLN/iOSJ0Z3nk5Rzy6VgooueC2xmkecznrfWtfPvPi5k1eRQnHum130k5pEj/3Eu/bR/y6ZOIe+LKSMqh5nPG4bU8sfo25m15jsJ0B/X3Ppkdjpgt/Ay112k22ekBHZEZ96EIl9ydOSw7ZBUymwnB4M37I4W8+iXX1Xm7dFRVVfU4XlVVFXxWV1dHZWVlj891Xae8vLxHmd7qyP6Ovsr4n/fGtddeS3t7e/Dfpk2bcj1FiUQikUgk+zDegiDY93O747vP4o1twc8K3oJy+qjpe1TnYGHZvqCWon7j1yi0vRenMofa4OBsFxLne/j0R8wINtxQFZKWgyIiqFmhP4M1hn6IV3sihelOQXdr0NILvP56qF31t3cIpTIv7Ydy8Z29WBVkfu6vyJcPsu1CT6+VFXSU9LyVTw+1t9a3BD/HswS1XD3ytvdQKyvqYHx5dM8bmEsb0vOZrims3KoRtY9DFcU77bea0jATR0U5ckIZ1562P1b4RQBUMnk2Rwp/nLeO655aRn1Hgkh0C7a6Ned+sLPCEbM3GhnqvIjZXP6xabx53UncdfZhjK9dHBwfTm3cGdYOodQy5HOgGJpA/yEiFApRXFzc4z+JRCKRSCQSn2xBTeRRUPMXpCE9swCfVj5tj+ocLLZPbuy/6RaIEbWQHCp2FNS8/u+Pp0TgWaMo/PgJm/GJJ9DEpGABPBg51FxXBO14bVUXY5J3UWidEwhqu1rcWT2Sg2eWLkO5sE318P4QWccHr03Z3iDpaEwUtGBs8ymWJq3M+catzHjtjoeaH3qWVNbw0SMWcN1pg/tiwRdzTE3lxaVljLauBnfMTvvtt1+ZyctXncg5R4/nGx+dgm0uAAhEuJHkmfPSykYeW7CR9U3dmU18chTUeuyg6eTudTpYVBaHOf2wWoqKMk44e4ugdukJU3j9mo/x+SO8XHfKAIV8SvIsqFVXVwNQX1/f43h9fX3wWXV1NQ0NDT0+t22blpaWHmV6qyP7O/oq438ukUgkEolE0h+WbGrj9Htf44rHFyM8mcj7ICvMY08WpwnLYfGmNgDO+PBKhBIH9p6H2k8cUs2qn57G547wc91kHh+ll9rAs72g5nsa2M6uxTB/oa8qoPqii1AHVVDL3sXRSG+IoKD330Mt6/x9704YWi+LhNW7h9pgLraz7UILBDV1QDzUEnamrridsZlcdzy0XAtL2UizcQ8dxhNDMn/4Yo6uKaCkr48cPft2V0jaF/DnlPfrOmlpOpSwc0SmH+hfPzhZHmrZ2vRw3UEz+169t2zGUxQ2qCmN8P1T9qO76Ed06P8IPttbzmFvIa+C2qRJk6iuruaFF14IjnV0dLBgwQJmzZoFwKxZs2hra2PRokVBmRdffBHXdTnmmGOCMnPnzsXKegMyZ84cpk+fTllZWVAm+3v8Mv73SCQSiUQikfSHjrjF0s3trKrvGhAPtY64xQHVRRxSW0Kz9V5wfLi9je8LRVEwdZXCkB8yMjC5WCS9s2chn96/mqqgKn49+uAKaj1CE/2fjX4Latecuj8lEU9Iyw4XHMqQz2SWwHTp7Mw8MZiCWrZZ+Km91KyxzadY5e9O7P2cWZ/lHPLpWDhqE136f4hp8/K+cUL/2uCHfKqAL4z1z7OvPWaxeGMriuO9XAg81EZQDjU/jHzBB8001p9AofOxnIXFI8aXURxOvxhwh6eH2kPz1vH5+17nskffprk1s3HC3uKh5jOmJEJSXYurtAXHZMhnfslZUOvq6mLJkiUsWbIE8DYiWLJkCRs3bkRRFL7zne/w05/+lGeeeYZly5Zx3nnnUVNTwxlnnAHAAQccwKmnnspFF13Em2++ybx587j88ss5++yzqampAeBLX/oSpmly4YUX8u677/KXv/yFu+66q8cmBFdccQXPP/88v/zlL3n//fe58cYbWbhwIZdffvme94pEIpFIJJIRg5vlxeMKF0dpplxtoVSNZ5XZfUGtsjjMPy4/loe/djQdMQXSOawS9uDvFrYnaOlVu5LtoTYEC+KRxg6CWjqpe8LZtf34f6soSiC6ZIcFDoagZvcQ1Nx0G/rvoTb7wCrOPnpc+u8yHmpDubD1QyCLQjqqlhmHwRT5/HnLE0u9Y4oYIA+19PkePbGc6bUdwfGcQz6zPH3CzhG8+OaJXP740vw0sp8Eu8aqChlBbeceapf83yJOvXMuv3vtAz77m9cJd1+Y/ruR56HmO5dpwQYNSs79cPbR47n3S0ek68sSpIeRh9rK+k4WbWjlX8u2sWXzCcHxvcWz/B9LtvCTZ1fw+pqmoM2+je8t57C3kPMunwsXLuTEE08MfvdFrvPPP5+HHnqIH/zgB3R3d3PxxRfT1tbGsccey/PPP084HA7+5tFHH+Xyyy/npJNOQlVVPv/5z3P33XcHn5eUlPDf//6Xyy67jCOPPJKKigp+/OMfc/HFFwdlPvzhD/PYY4/xox/9iOuuu45p06bx9NNPc/DBB+9WR0gkfaEoCiUlJcHPEkkuSPvZM/a1/hvI89mduoe6f4dLm4MtCNKCWlx7k1NL3qNCreDZ9NoxlwVTX238zK9fY1PL6ZihV0gpq3Zr8Z1dt6qqgzJ+c1bU8+w7W3nxfT9lx+57qO1s/Po7tkNpt0Px3Zd/bCpnHjWOb/yfF92hpLee7Y8gmy0WK4oAFHTVRFM0EPkVXfrqG11VuPrU/XFcly5nvdceDKKhKCT7t7gz/ZjGrA0V+rsoHIgxCxsanzu8FkNTSToZr9PBFAR8sVRTFC6ebXDps9+iXI97QqUYGA+1g2qLUbIExFwX5pZjoYlRGO54THcKCTtKXUeCAwfxmvJ3jfU81Lw+DOlhIkYEUr3PaWsbu1jd0MWxUyvSR7x2RkIRSI6sHGq+N57ux5CjYGomOLndJ8sLTD40uZz1nWuhyzuWsoePoJa9+6grMve8ofCi2505bO6qJv7+9mY2t8YIJ85AUT7A0ZaQIpVXD7Whfo4cDuQsqJ1wwgk7nTQUReHmm2/m5ptv7rNMeXk5jz322E6/59BDD+XVV1/daZkvfvGLfPGLX9x5gyWSPcQwDL7zne8MdTMkeynSfvaMfa3/BvJ8dqfuoe7f4dLmTJ4pJfj5qxd8lanlU/nezd8Dclso9NVGXxRQhCeI7I6gtn3dgzF+72/r4B9Ltga/K3uQQ21n49ffsR1Kux2K7z58vJfu5JSDR/HUiucQeIvO/tjP2LIId519GCFd46fPvQVAxahKEqkiuru68+qh1lffhA2Nb54wBYDbX/wgXTbMsR86lv+98r9dejm99H4Dc1c3AT091Bz6Z3sDMWbVJWGuPHk/fv/aOp5fmrvIlw9KowZ3nDkDgKKS90hp71NZeShOZ4xYLJbXsfU91MKGhiUy59jfnFk+lmsRcWYyyvoWLp4wl7LFoF5TJ+xXSVnUZOKoAl5Y9S4A0/c7gJqKSl6a91Kvc5q/8s14ZXl89LiP8q///WtkeahlhZEDIFTG1Y5j/cb1/e6HhOUwtbKQx77+Ib7y9L0sWOYdH04eatmetUJk7nlD4d21O3OYv/nG2xvbKLG+TJf2P9SidTTGGgdl3h9J5CyoSSQSiUQikexL+CEsiqJkkk0rKoqioKDs8W6Wb65r4bt/WcKWNi+E1PcwGsocULmQtL1znzgqyjvtfyKuvht8JnOoDR43nTGRB9ZmXlj3x0OtNGpy+mFe/p9bnvc3BNA8DzWGYvzSYoXQMTRPHNuVoHbF44vpSNhMr47wevOq4PhQ51tq7bb447z1FEWGJgw1aup8Lr2D3/NrlgOgKRqa6o1tPr0PP3NYDQ2dCVZs7SDavfvn63nGeMtPQRwIb7dj6sBzYE0xB9YUp9uQ9lZTzOCa6K3fAk/PQETy/vX7eiTlUPNfOulaJuRTV70x7e998pJHFvHyykZu/8KhPbylhvqaziZ7d2GE7o25IvaaVA1++8PpLYAVdArMAhpjjTLkM8/kdVMCiUQikUgkkr0Nfynk51CLOh/hc/es5tJHF6Eq6UTVe7A47YhbgZgGmcTqe8uDuZ+AffaBlbQafyKhLQw+kznUBp6XVzbw9OItbM2yIcjdfqZU23RrczHMeLAAHgxBLWk7vLO5jRVbOxhV5NCmP060ZLEXJkb/d/n80WfG0KX/Nzg+lDnUbMcNRBQ7a909VILAgjUORdYZ4IzKCEN5DPk8bFwptWURXlnVyIaGSHA81zFIOalg/nPTux0nraHz7ppY+x5Nxh1Ul1kZIbK3fvO9shQl+9egr0eSh9p9Xz6Sedd8jBOmVwKex3KugpqdtdNqtrgznBL+97W78t7yIszfzTZs+HKPSkSPpD+Tglo+kR5qEskusCyLhx56CIALLrgAwzB2/gcSSRbSfvaMfa3/BvJ8dqfuoe7f4dJmXVMoixoUhw0EAkUYtMcd3luzHlVVcYST04Jp+zYm7J4LND/kM2HlLqhl133uuefy6KOPBt8zUOPne6hp6o59kKsgs7Px6+/YDqXdDsV33/PiGhZtaOUnnx3f43h/BLXW7hQL1jVTENL5+IwED639OaNbDiDmxID8Cmp99U1DR5LP3DuPiKFxy5ds2o1HqEhOYeGCmUA/BLUgl1HP6yhuxXcsnEO79oSXVjZy0cOesOw4BC4KgymodSVt5q9tJqSr/G+ZoNz+Oi2NvyGRznGWb7HbD1nP3uE0V1HXci2UdB48F88GU7bDgw8+CAzONbWmoZNt7QnGl0cpLtlEt/4iq98tJym8seut34KXLlmJ+AHeeOMN7/MRlEOtojAEQIHp5xVT2LZlG9B/Qc33nvruX5ai62eD8TTgzQVCiGGRi8tyeo6pgonAGpIXYbszh9npPjb19GZCQifW7l1z+fRQG+rnyOGAFNQkkl0ghGDr1q3BzxJJLkj72TP2tf4byPPZnbqHun+HS5tPnF7J4h+fDMBf/5+Lmg4DSiRTqNHcd3Hbvo3be2DkklR+Z3W7rjso45dKC2rdqRS6W4OrxFCVLmzsnL1gdjZ+/R3bobTbofhu31Pi+qc2Mo6/02T+grg2n4Sd2OXic01jF5c88jaTKgr42se9sUqlUkHuq3x6MfXVN76Hma4qgYBnWzZdlpeJfFeLOz+JvOVaIAxQvPL9Fa8GYsz8JP0ATtYuhYPpvbKtLc5FDy+kNGpQHPU2nHAcMSBju2hDK2980Az0DIXLNYm85VhBHjyhxEF4gv1gXlOPvLGRh15fz+UnTg3E3O6ObhLpnG699Vuwo6rSU1DrbO9Mfz5yPNR8jt9vNCXVj7Ct9S3Kkrl56mV7fzlOGD81okBgu3YQDj60bC+oGQiGxrN8d+Ywf94NGb7N6gjL96rN34uUoX6OHA7IkE+JRCKRSCSSNN6CwHsoFGRy5OzJgmkHD7X06mFvCR3xPdSeXdpIbfIByq0LvJ0EkTnUBoPsxadKKPBwhF17d/l/64czIxQQKmp6CTAY4+ekBTFNU0hYNro7FsUdE9jQzs7BcQX+Gu1rv9tKZer64LOhDA9LZsV5Oq4SrL0Hs01BcnhFwV8yq+j4v+XTQ+2OOSt5a30rAFlaYu451FwLf5dgl040o5FJFQX5amb/2uD4u3wqtHYUE3GOwhXFwTXRW79VFIaoLAoxpbKAb39sKt36vwH6ZcP7Gr979QN++uwKYikHI7KalLo26Lt+e6j1SPiv9dCuhktf/u78o1h36ye45bOHYJQ9ns75l/GiG+74dh7yPdTQAnuVIZ/5RQpqEolEIpFIJGlc4YLiPYgKlCCH2h4Jalkeak5oLpayxTu+l+VQ83OxDNSiXdI7gYdXOsLKIJPDalc2FCRTVxQeeaWICYl/IpyjB1VQy/ZQq28X1CbvRyS/0y8xwnK29+7MeK4MpSCd7CGSK/hLqsFsUyCWqgqK4m84kRFL8+mhlj2HZYfC5Rzy7VhBDjVbraeg5g6euPjo/DSy323wzsXQVLZsPZzK1A3EnLE7ndP+/s0P8+YPZ/OpQ2u48uTpdOn/AcBMexvH7f6FH+8LPLV4C797bR1b2uKBN2Sugprd47rOXD8wvF40KYrCl44Zj4jMRyiZdg2nNvbFnWcdzv+u/CgfmuIJ1gpGME5yU4L8IgU1iUQikUgkI5rX1zZx1m/n85NnV6TfPGd5BOVFUPMWaF88ciydkd+S1Lwd+ZJOcq94033HmYex5Mcf5+SD/QdzfVAFmZGOmxZOImlBU89BUPPNS1W8Heqgp+gyKIJaWoDRVAUU//u0fglq9naJwRURCn7ubw61gWDHMG5P6BtMz4+MWEogqCHUARG7s0Nc7T30UIurb+EYfyWmLhiSlwq+PRqaEghCClpOQqS/IYWRHveYFRuIpg5L/EtyW1uceMfhRJxZ6H7C/n6GYds75Ccbmp1y+8v28+Te8DKsuiTM1MpCZk2NUGdeRafxoLxvDxAyh5pEIpFIJJIRTVNXigXrWlAVBVe4CHb0UNsTb4/iiMGU0QWMKQnv8CCedJKE9fDuN34QCBsaYUND170+ULMEtbx6wdgJXuRFpjEtb3UOBAJBJshu4LHdTOhOJ6AKEx0dG7v/HmqqgvBFlyzxYHBCPn0PNRVBboKaqanc8tlDeHV1I88tr0MhI6h1W90D1uZd4Ydxz5xQhlb2CBve985hMDclyM7rlfFQy00Y6i89c8ZljucsqDkWSW0FBnGSrCPlTMhXE/vfhmx7FJ49qtn9thMh0nJcNjR3ozkTcNV1gYfaSBLU/JdA79d1Em/+HCXK+5ja40D/PfWOnVbB2LIIL7zfAHgvaQTetTNUO+Vuz83/XEF9R4IPTS4nFdsPVTTjKl7ex+HSxv5QGBEktfeIEEHDu95kyGd+kR5qEolEIpFIRjQiEB08scSlizKlgxIlnnMoS2985UMTeOF7J3DpiVNI2TqKyAhoe9ODuSO8h3BVDIwg88DbDzCXufye3+etznziuA4nPXISf+JP2AzeG34nSC7t/a5gBh4huxbUvH9VBdTeRJdBCNn1BUFNVXoIakH40U4Wd6au8qVjxnPx8ZMBL4ecz1AKar6H2v5jilC0lsD7L+UOnndNj5DP9DEFbYA81Lzz/ckZBzOq6oXgeK6hY355ExMEuI3XMfvO10gIbRd/mT+sdP47Q1eDlyc9+q0XIfIrv1/AF+9/nSWb2ph9x1zGJO8EAaG0PQ6lt+Rg4wu50fQunwqhQFjsTvXvmrz+Uwfyu/NnZh0Zfh5qc1c38q9l27j+H+9idlyB4WbE373BQ+33r63jl/9dyaYWT+zVsudcGfKZV6SHmkTSD6LR6FA3QbIXI+1nz9jX+m8gz2d36h7q/h0ObfbD4vwFVVJbzumFKylQClgidk9Q662NP//PCsYn/kK7/iRtxh8A78G8hJLdrnswxu9Xc1bR0JmkMZYW1BQdTfESSe/Oon37NjuuYFt7nHfrN+92HYPB5vZtvLZxASgWS42lg/a913/qQDoTNo8vWsGWVgeVEAYGCRK7FtSCTQkUXMX/2UBXdXDz76HW27hUFYf59knTKA7rNIsV6aMaUbMAUv1bQEf8xXuWGJ2LV1C+7WXy6AJOOaiKg2pKWL42MwaD66Hm/aupCifN6OL1l3/BeM3ASo/tQHioHTWxjAdWNATHd8dDTXfHYqr7o9GA4lSxsSXOiaUFRLXBEal9gddQFdy0h5qhhwgbYbB6n9MWb2yjK2ljat79QEEDdCrCFZDwPLNc4QYezfsyvt0VhDwZQSFEgVEAVm7XpKIoHDG+lCV1i3scHy75yeKp7TcTymwGMxSCWq5z2KMLNvBBYzffPrmYIvszhBUX09wMTv491Ib6OXKokYKaRLILTNPkqquuGupmSPZSpP3sGfta/w3k+exO3UPdv8Olzf4b9yAPEfDtb32b8kg5v/zFL9Nl+i+o9dVGNb3ZgSJMdFXHdncdsrerugdj/J5bvo1V9V3MnCwAhXCoALO0nNbW1pwFmd76Zsp13o55k8ccHhxLkQq8HvpTx0CyqSXGq6ub+NX/VlDofJwu/d/MN+ZjGMau/zgPnHRAFQBvb3mflz94h4LCBOHIKDrbOndpP9Ori7jtc4dQGjW5+xVPsKyqrMYonsS6devyKqj1NS5jy6Jc+fH9ALhtbub7zjrzS/z+kd/tVJSJpxzeWt9CQ6e3yFbICGr9DS8bCHs5/bBaTj+slnteWM3GLTNRxUu4SkewA6CiDHxI8LjyCD8942AKQzrN4gMS2lL22+9TNHZrbN6yOa8eat0pb9wKTJ2YnRFNbJHjpgSuRal9Nh3OCUQNgSCFgs5Xv34xEwdpt8+zjxrPrCkVHD6+DJd06O4RRzGhppKnnn1qByFSCEEsff6jCjNzkqEWcO13r+WWW28BPJElauz7wsIOHmoixKknnsqc/87pt6DmXyNPXvoRpt1zAW5LW/DZcPFQ80XkiKESt1wUDMK6l7ZhsEW/3ZnD/Dx1de0pyq2LQd/KoQe/xpKlSwZl3h9JSEFNIpFIJBLJiMYNPNQy+N5q+diU4KfPrmDu6kZStvdWWFO8N/rtyfa9InQklQ6Rqim36NjwPBOLTbpVbzG1p14wblbS+e5EJpxvfdt6Dq48eI/qzhc/fHo5c1c1AqDrnrjVFGui2+qm0CwctHZ87GCNnyy6jgOKDkCkhaVd2U9NaYSzjx4PwD1z/b5WPQ9DBj85tSDjGaGmBdOdLaDrOhKc94c3AThgrMPCbQu8PUOUoQ359Pnj6+tp6T4cLVSKq3QgEDjCQVcGfolVWRTmyx/ywtAeXJQOq1U0NDX/Y3vjpw9iVX0XTyzcRHvLIcDbwG6GfApPiBY4CFJAlJSz+/Nrrsw+sCr42fdQC7xu2dFDLWm7wT2iJGKgKt49o0AvJaJnNgiJWbERIaj5Ht0FpmfjKqFgHuyvoHbET+bQHrf473eP38FbarikQYinBbXiiE7cSqFgUBouY1vXtr3ivu3vZqupflizjqGmN0+RIZ95Zd/3S5VIJBKJRCLZCRkPNU9ECzkH8ck7F3H+H97Mi6C2uTXOqvoukukHXF0JBxsRDJfwlp2RTAtqYysStJoPMLpilRcyyJ4v2n3PF4BYMiNprmtdt0f15pOuRJYIJDIL5vZE+6B8/wvv1fOfd+voSnh9pat6YD+5LOxGFSeIqW8SDcfyNn79oStps6ahky1tcVwsOrSnmVCzipC268Wdnb5myqIG5320mybzdi80j/7naxoIUraLEAJD8202I6ANhSCwtk6n0D6VZKI8IwzlMeTz7KPHc/JBVdz94hqszuOC47sT8qng50uzEYo39tvvmjpYiMjrNBv3ccjYcCBEbt9vsazQv6ipY+remBfopWiqRkjzXgSMlI0JHv7a0fzvyo8yc2IZ4IV85iqo2Y7AFaCp6g7X/3DwUBNCBIJaUdh7BtAIUxQqAvaOHGpW2kNN1/1rS8sIanJTgrwiPdQkkl1gWRaPPvooAOeee+6ghXhI9g2k/ewZ+1r/DeT57E7dQ92/w6XNqqIQNtRgoaSgs7U9iZ3Yhlqau6C2fRuT6R0BC8x0/a6JlRZHcn0wz677zDPP5K9//WvwPQM1fr6g5ghPKGjY2kCH3ZE+ltuiffu+6UpmBJ140sSP8lzTvKbfdQy03Wa3USUTltbU1URtce2AfjfA955YSlvM4obPewv+9tZ2DMU7513Zz+bWGKvqO6ktjXLgxHr+b+3NdLcdS1eLt1tdPkWXvsbljbXNfP3hhRw2rpQjD7ZpNX+Hap3Ai//tBHa+gA4WhVpm4R0SIRIk+r14Hwh7+frDC3l9TRO262/00DOpegEDH77Y2p1ixbYOCkM6b68tYJR1OZs2/QvH8Lwp873hhKl7c6EQGX+MXMVDy7VQ0stPgRV4LD71zD9ZFLUH5XpevqWdpO0wdXQRlv4OXfoW3nvzKLaktgA79lt3+voPGyqaqmBokLDATeg89NBDRI0oSSc5YgS1ceXeS4W2mHfdKhjMn+t5kfY3l5yVzmN37oNvoHf8HNO8AVtdh4s7LAS1pO0GnnjRkHff1gkT74inPx9c0Xx35rDMZjCePbuOwupVq9Of5e9FylA/Rw4HpKAmkewCIQQbNmwIfpZIckHaz56xr/XfQJ7P7tQ91P07XNr8hSPH8oUjxxKzYvzuFoKd31IpK1gY5LI43b6N/g55ETO9+BY66dQ9OQtq2XW7rjso45dMv6lPOSk0UU4yZmIr3gN5rg/m2/dNZyLz97ZjoogChNLNB60f9LuOgaY7mRn7ofBQ83dznL/aYWz8UUTqXRzzMWDX9vPyykZ+9PRyTj6wirIxrQDY3TYJvL/L58Kqr3HxRSddVYLv6+7qpqHLS26/swV0dgJ5y7FAqOi2kVPI50DYS2fCCs4L0td0msHyOn1nSzvn/+FNDhxTDGp6l9GUjZPeaTRfYmlnwmLJpjY2t3pigsjakTNXTxevvB/yaadDPmFLXQNC6xyU6/naJ5exbEs7f7zgqMD2GrY10EwzsGO/+Z5K0XSIo6Gn53HHZMOGDUSLorQmWkfUTp8AhSEdSn9HQ2wz7Y0HBTkT+pNLzs/v1ZGwUUQpighjYJAkOSy8tv38aQDR9EseVYRw0/fywfZQ2505zO9jTbUBDYRGd6c3Z+Yz5HOonyOHAzLkUyKRSCQSiYRsLzQR/N8PA92TkM9E2kMt7AtqhNDT7zT3htAR30Ptg3qNsYmHSabOR00/Qu7poj1bUAPQhZffaH37+j2qN590ZoV8KmQWih2pjkH5fl9Qc4WLRgmKKOi3/XSk214cMWhNeIJahEgwfoMR8um3X0sLapoYheuWByJUfz3U7vxnBRMSzxAWEwEv5HOoFnBd29nt9h5qg4Efqq6pSrChioIW5H/Ml4faB43dfOX3b3Ltk8u8A1niYc4hn24m5FNRHGylgdpSA5XBG0c/t5SuKdipckLOISTdgsyctl2/WY7LqAKTsqg3xkdPTdKu/wUjLUr74dcjxUPtt6+s5Y7/rqS5O4UIvU1cW0hIydj/rvpBCBGI0cHuvejBJjTDwUOtNGqy5v+dxvKbTuGEAw2ajfsQ6uq96r7t27mi+vasoqWvPRnymV+koCaRSCQSiURC9tvVzOLOX2TtiaDm5weqKnHo1l4GdWXwYD5cEjD3he24GU8cJR3iI9S8CTLZYhWALioA2NyxeY/qzRdCCLpT2R5qmVC+juTAC2op2w1yOGm6t1BVcxBk2+Ne/5ZEDJatncS4+N9pt04YVEHN9zLTNU9QG5O4m6bkt4gLL+/SzhbQvndkSFfxr8sQXh4jRzhDtvj2w4DVtFeOMgQ51PwNPbw2+DsIq3kTu338PIem5tW7J+Kh5ViBkKoiaAzdzIMXjKVa68pLW/uDP58ZmoqeOI3q1K1sccZmhMjt+u2gmhIWXf9xXvjeCQActV8rbcb/Yapem31vrJEiqP1h3jrufnENjZ3JQHxUUfstLGZ7dhYEgpoRCGrD5Z6oayqFIZ3pNTZd+r/Q1LrMfXsYeNHtiqcv+wjPXP4RCiPePUBBC+YGuSlBfpEhnxKJRCKRSEY0L75fzyNvbOTgWn/HNm9xKlCCRNX58FCbVGXRZP6CsYxF20vedGuqwsIfzSZpu/zoP7/xj+bNC8ZxBSURg/a4hV70InaqHvB20RwOJCw38LCCnrtUticHPuSzLe4JFqoCqO1AISpm/z3U0oJacdggYSdRCaGJ0BB5qKnYro3A/86Mt4QQIvAGzaYlnaepLGpS3+2FCxaKUcHn3VY3IT20w98NNL5nZWlUp6XbBgwiRIgTHzSRz87y/MP1d/LLv4eaH/JcGjVo6Ez2ENR2Z5fPTv3fTBZxWpQ6YPA9knzPHUNTcIUvNqh9eqhtT1fKE9J8ASiqjyxBzffOLAzpxLumUmBPR9EKiepREvaucxv6oYgAEdOXIgyMtF0NBw+1bPzzMTACD6/hft8GOGBMMQBv1SepN3/GGCoGdd4fSUhBTSKRSCQSyYhmc2ucF99vQFW9hbrICvnMxy6flUUh4ikHVC9Hj44ePNgO9wdzRVGoKPQEC9v13spnv+ne0wfzkw6oYukNJwMw9o5vYNleYvDGWGOfIstg880TptCVsGnSf8P9i+4Ljg+Gh1prt7fgL42axO12oBZV9N9DrSPujU9JRCdhewtDDaPf4kE+2CGHmmKnnc385PQCRzjoyo7LkoNqSrjx0wdSVmBy/T8/AKKEKUJFxcUlZsUoj5QP+Dlk47oi8FC7/jNjOOvJT6MpHRiD7L3iJ4UviRi0dnh2oGNi59lDLZb2UKsuCQeCmiJMhJIKxKX+YjkW3fpcxjGaZXibJwy2t48v6KgKiLT9K6h9eqhtT2NnHN2tQVeKQYGI4b2IGQmCWsp2A4/dwrBCJP4VikQ1trqYqBGlJdHSr344cfpobFd490VAEVkeasPA+2tNQxd3vbCasWURysrihJxDMJQwuurlIBvu9+0eKCkS2tvoTENjHCBDPvONFNQkEolEIpGMaPxIT1+7EUqCEiVOgZKiLQ+C2uMXzwLgj4v/6CVVJ4qaTuo/HBYP/cUlnZQcM1j85FNUyvb4SjpJulJdFIWK8lb/7hAxNa4+dX8Avvxkz3MdDEGtpdsTTUqjBl2WlwNNwcg55LM4YgSCmpolqA1FDjWBv4jumYtLV3dclkyqKGBSxSQAfvhsHCjFoDBIYN6d6t/GBPnED4EEqCpLYqkbiVCMkb4mBmuziqYuzzZGFYZ4P71hgEEIJ88ear54WFkU5vozNL753JcDL8PWRGu/dnX08T3aNDR0dEqt87nqLy1MssuYrLfmpb27bIPjz+V28PKEnXio/efdOn7/2jo+MqWCK2ZP46WlNdQmH8A1ngV9ZIV8+iKuqoAlOnDx7l+qCPdbWIyYGn/86tEAfOX3bwDDL4dafUeCfy7dyvSqIqpGCapTt6Jqc9HN54HhE5baF0nb4bevfICuKRDNXHMy5HNgkIKaRNIPRuIWwJL8Ie1nz9jX+m8gz2d36h7q/h0Obc7kQ0ov9I2tnGmuRFEUHlN2z9ujtzZ+0OAwIfEMttJCYeTnIHbvTXd23QM9fk1dSe5+YTVFYR1F8wQkRxRRSgkAWzq25Fxnb22OpSziiSg6BdiqF/bZGGvsU1AbCrv1BbQCCuime1BCPqdUFnDHmTMwNJW7Fz4OgIJJSA2Bm1sOtYQTIwQYqomt6uDmX1DrbVymVxfx9WMnsV9VES/U2UHYrK5lQjVTTmrXOwMKTzQylUJMTE9Q6+dOn/m0F9eFkw+sIm45JJxOAMKEKVAKaBbN1HXV5e27doYvto4qMAkXv0VD26McpB/AJnQQefRQS4d8FoY09hsTx1I/oIQS2mnHFS6dyU5KwiX9qstyLAx3Iil1NIaI4orRbGx2qQ2FB+2a9gU1T9j1ftZUHUMzwNmx3za1xHhzXQvVxV6OMJHOJakrUQzDIKJ7QlLc3vd3+WyNZeaTtkQrwhfUtFBw/eYicteWmaSUtbhKjLASBjE8xCrfcy5saumdaKOohDAVc7fv23tKLtdHIuVyx5xVAHz70zaF9im4jEU3toIYnHl/JCEFNYlkJ7jCRdVVrrvuuqFuimQvxTRNaT97wL7WfwN5PrtT91D373Bp8/ombwEQDnuL48llk/nhZT8E4C/3/wXIzUOtrzY6wlso6HqEww85nOXvLM/5wXz7ugd6/Fq7Uzw8fwPlBSYHHNgGgEDn47POYNH8hWzpzE1Q2779v3v1A15a2YDl2IxN/oG4uhCl/D7qu+tp7G5kctnkXdYxkHQnbZq6kpREDNZ8cCJVyQ8zZuxzLGmcS5c18InUK4vCfO6IsQD8dH49SWUVh4ybwiHTj2fea/N2aT+XnTiVLW1x9qsqJG53EwIOPnAGSsnRvPnWm3ldWPU1LkeML+OI8WUA/OcfNqS9m846+8vc//j3gL69UpZtbidpO0wZXYjlev09a+ZH2bz+b3S2dPZr8Z5veymJGjxw3kwA7n7tH5RYX2LMqCgHjO9i3fJ1gyaonXpwNWNKwhxSW8LfN68gri3i0rOv59FlSZYtX5Z3D7WCkB4ImJOrJ/Ne03sk7AStidb+C2quRWXyJt5iFNW1q9lS5wk0x534MS49YWpe2rsrLv/YNGJJm6KIAMWb1z/0oQ9z1PQJ/OmRP+3Qb764Ek0n0PdFpGmTD+S6Cy7kgqcvAEaGh1prVk7D5ngzQkmCgE9/9gssSwv+u86h5qIoCpqqcMHxUX627AqKQ8Ucc+AXWb54+bDwUIunN0OJGCouXnvKyyo55sAPsfCthYMuqOU6h1lu5nkl6diMsr5FEjj5tHU8P+e5vHqoDfVz5HBACmoSyU74/F/OYe7G/7Hsm8uoKaoZ6uZIJBKJZADY0OwtAITaAMDU8szCbk9zqNmOy6fvnUdIV5k4zluICVcnlPbOGe65WJK2d94hXSXlxujU/sOJk2cxpqgaIGdBbXtW1nUyb00zh4z1vBs0SqkpHusJarHGPWt8Hpi3pomL/28Rh40rJd5dS9gtYHTkfWDuoIR8ZtPhvE9d+Gm+94mXmLvB85bZlf2cerA3Tu2JdoTwhBFNMVDSm20MdnJqW2Q2JXBcga7q2K7dZ06fn//nfV5d3cQvvziDhLIaS00yofxUCrZ6u60OtYixqi5Bqf0l7NgHVBd8AMC2rm2D8t1HTSznqIle/riGbm/uqiyoDDZSydfYfnT6aG+3w+oiXlu/hmLr8xiuQnmknq2dW2mJtzCxdGK/6rIcK9gR1dS0wFsxZe9+SH2uXHisF0K8pWMLwt+ARhD02/YeajHLF9S8djt415yCN4ePxJDP0qhBc6wpEBfjltPvfnhpZSOXPLKI46dV8OWPei+xaotqMbXhk0MtI6hpJNLnqAgz2Ml0OLRxZ/h5AnVVwRUZgVJVPE8ymUMtv/Qv4F0iGWG0dqc47a6XWbTki7TEOvnXqn8NdZMkEokkbyQsh/97YwP1HTEeWPQAm9o3DXWThpR1zZ7XRZfjLYhro4fw8Tte4RN3vUpE9xburYndy++TtF3e29bBkk1tOOkcZK5QMw/mwyC8ZWck0zuUmrpK0k7SYt7DJ46Is9/oWgA2d2zeo/p975fRxV7eJ51SRheMBqCxe+gFNb99RWEdoXgLxVEhz2NsMEI+l25q44X36tncGgt2Ph0VGRXYT8LpnyDblmjDVhpJacvZr6okyFeWj7DA9U3dNKST4i9vWE5rvOe10h632NIWpz1mYTkWMe11Zkxqo6Y0Eiyi+/JKyXjEGNTzMI2hm/jkIeMy4WX9DPnMJ64rEOnEi5rmec0Jp5gxRWMABs1DzUcIQVOnTYF9Au9vDlMeLs9rO44YX8ZFx0/m+P1G88ZqlzL7q7jJqZSFPa/D7cd7Z1huRlALG3o6nC4j3A8mKSdFXF1IV+j/+Nj+VcFLju03Woil5wDfQ80R3jygiJEnqB2/32j++93jue3zh9ISbwlyqOUiqNV3JDwxXVPZ2rkVgJqimqD/h4OHWsIX1EwNW/gCqhnsKDzcX4T5Yc26puBkC2rpa0/mUMsv0kNNIumF0qjB5rYuVCKE3On88eU/UrCygDPPPBNdl5eNpP/Yts1f//pXAGk/u8G+1n8DeT651P3719Zx+39W8qv/WSy2L6FQK6D+B/VEQzvPYZRvdqc/8t2HSdtBTW9GUJ9cDsABlWN4cUEnKVfh2MM/wnzmsWDzAs4++Ox+1ZndxpM+eUZw3FW8xb/ranywah2Q+4N5dt2f+9znePLJJ4GBuz6SVsZDzW/rogWLaAx5YleuOdS2H7/OhLdYLS9M569zi+iq9xa0fXmoDea80O2Hu5k6Lt2ojKZli7dgbIu3Ddj3+vzp9fU8uXgL15w2nZZ4CwBz/zOX5V2ere7MfpK2w+trmimO6KhmCzH9VUoK11C2bRz/afLy6+ypF1N9R4LT7nqVUYUmt54Z4qMPH8cBkQNYeuXSYFweeWMDt/9nJWfNHIctbDqMv1PmFLL4JQVTM4lZsb4FtfQup4aRCkLx5jwzh45mzzuwPyGf+baXfy/fxnceX8Lx+42mqLwDqCaRMFm3zLumB8tD7dXVjRSFDcaWg2JNpcL6Pg/8Zw37jfaunxWNK/L+naaRAsJ0tyu4Yc92fLvsD5ZjBYv6tuZmhFIMwDvLV/BYy9sDfj0LIVi2pR1dVUFPktSWEQlvYt2C/9CZzoe3oX0D7Yn2IIw15od8hjxBzUrn8tu2tYnHHnuMcJUnbo8EQS1q6uxX5eW1fGZtOuQTeH3BW0Rq+rcpQX1afK8qDvHPt1PUJB6gacMqPmjz5qTB2tRjZwQ51AwNx/La292VZOWKlcDgC2q5zmH+zsqGqmK7Fi5JVEIsXrQaIHg5MxRt2xcZeWcskeyClO2yuqGTwsI6OuNjCLuHsKzrn6xavQrXHfw3aJK9G9d1Wb16dfCzJDf2tf4byPPJpe7PHl7L7f9ZSUuXQYHxMbqUF/jVG7/ihx/9YV7btCtyafMP/raU9U0xjj5oET9bfRNf4At8wf3CHrchpGssuG42sZTNzAevAmBa+RRG0c42iilTDwdg/ub5/a4z+7w+kt4R0NRULDez+O9o6wYl9wfz7Lpt2x7w6yMT8qnRbidAqGyt60bHa39zvJm4FQ92eMul/a7r0ul7gEXTYTWEsDpUUPr2UBvMecFvX2FYx6YLE0h2qKAP0i6faQ+tkGGDG6U2eSf3rihnSrh1l/bT1JXiqw+9hamp3H+h51lREiph9erVtNEG7LmnwkvvNxC3HDa3xvnl3DkIBCviK1jTvIb9q7zdUX0b0jSFZNIb56bGJlY3rsaIeiFIfQlqfuJ9oXpiR6FZyIa1G7DTYaP98VDLt710JWxsV6AAjuJ5ZzluAV113jUxGB5qQgi+9tBbWI7g0UsmY6mep2h9TGVqvQAF3m18Ny/ftWJrBwnbYXJFAboeB4qxUmG09Oe5eO+mnBSR9PIzlYgFIZ/Nre2s7t444Nez5Qg+c+88AP78Tc/T1FTNwD7GFY9jU8cmltYv5fgJxwNZgpqRFtTS83gs5s2/kdr+CUn7Gi3xFrq056hV24i0TCMxPjdBrbo4zNKmFgxxIIl4HM1dC8DS+qUD2/B+kB3yabuegGpZ0N7siX2DvQFFrnOYneWhZgsLS1lPSEynrb4QdFhatxTHdYIw58Fs276IDPmUSLZj8cZWPnn3a2xr9Fz3w+6hdNFFM81D3DKJRCLJDzWlEa4+dToAJfZZIBR+teBXwzaMYfmWdv66cDNvrm/hlueX0UQTj/Jo3naxAwjpCmtbvQf6KWVTGK16Xh6JuJc/8+1tb+9W//gP5iFdJeFmQokUCoH+L0aXbW7nssfe5sX363md13mKp3Y7DDUXerTfTlBsf4HFiS+ywpochPj4YTu5krJdNrV4i69uZ2MQPhQSowBoiDXsafP3mK6E76GmYgtP1DHxvGoGQ1Dzd9VTtRgCB11UE8dEY9ehR+3pvy2O6LQl2wAoC5fR5oYpFJ6XyaJti/aoffPWZp6NVmzKeLj+/f2/Bz8v+MArM6E8zLyN81BEmCJRgyXUnYZ8JiwnsD+bNorsTzGq40+8mpqIgSfEDYWI4XtVFoV1UsIXfTVCeCGQ2zoH3kOtM2ljpfMkWaIFW9kCuKTQKcabsza2b6Qz2bnH3/XTf63gc795nVdWNaLqfrhjERE8AaW/HmpxK053QkdJS3E6AlfpoiBkoyuDsxD3c4ABNCU84TPMBNbZZSSFxoyqGQAsqVsSlFMUL+Tdz6Fmaavp0J6hQvW8fPzw65Gwy+czS7dy1/9W887mNppjzSS19yjXP6BETQYvVXZ1TdZ1ePN8ZXEYS/PuuZY7hjHCs9vFdYvzem/fHS47cSpLbziZa07bH9VspEN/ikp9PmXpa3z+pvlB2PdwpKnLs/OCkM6G9g2k1DUAJEU1hWYhcTvOyuaVQ9nEfQrpoSbpQcJymLOijj+98S525DkmVylcc+w1VBZU9ihX35HgqcUbWbBpKSnRwKGTupg2ahrTR01navnUIMZ8b8NyXB6Y6+XQSSprCImphN0DMN0pvKm+OawnT8nwQghBd8rBSlnEiWNiDnWT9hqEENR1JKguDrOkbgnrWEc5Xk4Y1xUoCghEkCw+H3QlbVq7U0RDKbrtDsYWj81r/W2xFLGUgyvaaKedwrSYkg9eWtnAEws3sb6lnnXOW6S09zhg5QGceciZO5R1XJHesVBjTOUqXLoxRA1l7iya46/z13f/ynkzzstb2/piVX0nf397M2samljjLqNBfZfjNh3Hx6Z8bIeyQgh+8/Ka4Pcu/T8AdNLJza/ezK0fv7XXv/FxhUvStmlPpOiMJ2mPp2jo7qCpq4ttHV180BDnpBldvLz+RVJOClMzGV88nkrV80J4Z3OKauM4GlJvc++b9/Kp/T5FbVEtESOCpmgoihcv2pGweGzBRh59YwOnHip4mIeJE6fhleMAqCkz+eeqJwmpBzBRtanFyxP29/f+zi+7fklVYVWf/dUet/jSg2/QmbT51zvb6NIORhMf5qhfX0elWIalJPn41o9TWzSDza0xKss6eGvLIsYWHEZ14RjKC5Osb1/PpNJJjIqO2uX4CCEQwltIOq6LriqoWpxlDcvQ0iFaLW6UmsIa1rSuYVXzKqaUT9mhnq6kjWW7tMaSXP/MUtpjLkfut5J7uIuDOZiDVnyFlu4Uo4tCPLPuHlzl+xiiCDN9vb/bkPGwWb6lnZdXNqBrgsbUqzznrGGy6rJw60IioQgHjD4gWNjmCyEESza1AdBh1eMqaU8FtwKAtmRbj9CwfOKFMqq8v80T7VqSmwJvHgBbVIACa1vW9uohKIRgQzo3YHHEYE3LGhDQuvWrPJWs4XjTQtGe4/VNr7OqeRX7jdqvz7Y4riBuORiagqq4JOwEpmZiaiZF4cxSItF1EHqoGlut476F9/HVw75Ba5fBgnWe4BLT5tEcb6bW/SHzU7PYorZSoI9Cc5P88/05TCydSMJOUBouJWpE2drm9behKaxvSy/+RIiEiAeCWmN3I0KI4DqMW3G2dW0jkQwxb1WSsKGyf207c5lLCSXYrr1b92MhBJbjsqUtxr+Xe4JZwmnjpQ3/w+E4NErQRFngtenPJbl+R8JyCekqKIKEnSCiR4JzE0LQlbQRwMo6zy6ipsbS+oUIJYWmt+PYZcTdUVQVVVEfq2dx3WKOHX8sCkpQT3/bIoS3W2Bd2qMoYqjEnHpgEo4YRRjvetvauRXHdWiMNVIcKg6Edp+6rkaueO7b/O29v1Kc+hIAlWonluLQqT/DMTNGMW7pOIQYGD8P23FJ2TYJ2+FX//PCCg+sKeCGl68EoKD7Sl62ijiajexXMhNFvMSf3/kHHx13OlVFUW75/FRuOH0ccSvO82ueZ2vyZeJmnAlcQps7EaejGlWU8uK6F3l+zfPoqs7+FftTW1S7Q5+7wiXlpAhpoV2ORzzloCjeywxFUehOdaOr+qCvsTzb92zvrv+tYm1jN5GQxeubXwcgQgRHKESVsSgixBMr/saFR1xIZUFlD/v163ovPadVFYVY1fEygk/gEMUUNRSYBXRb3SyuW8yRY47MyWa3x3UFrhA4rsARLgouquqNQcKyaE+ksB0H23WxXRfLsXGEi+24FIUVoiEFV7hsjr1Jq7GIEj7FBDGDkFbE2ta1PLvqWU6ZekrO13kuJG2H9U0xRhdoxIjRTbc3/5o9v9N2XOKWQzzlEDJcDqjVeOwbB7BiWyMXzXmMQvVkcKDFLWBG5QzmbZrH3W/8muuOu5qKggpCWigv3mojFUWMYIWgo6ODkpIS2tvbKS4uHurm5IWvP/o0c5b3/WYgWXoLQvPepmndn8BInJz1qQIiioKGQztbwhcFCXhrrV+iObXpMgoQRkk7OCaVVdSFrwxqqUncj04h9DIHuvoG7JJ7gt+Nlh+juL0/iLr6VqySXwS/m23Xojijey0rtEaSpbdkyrZfhWr3viunUDtIlP44+D3UcQWqPTl9bgYKYQQp6s3rOCB8La0d6Tfl5v9DiyzDUA1M+0hCXRf0Wj+AVfgX3NCbAKipAzA6L+qzrF3wd5yw536uWFMxOy7z2kL2pZl+Cxn9J27kJa9eZzxG+7f7rNeJ/A83+t/0l1RhtH+/77Lhl3EL0hsvOGUYbX1vf+yEXscp9HL24BZgtt60k7ILcQofT5+Cidlyy46F0qfpmO9gF/0pOBxq/mWf9brm+1hFDwa/my23oYjeb2iusRar+NeZsq03o7gFOxZUQGibsUrvDA4ZrdehuOXbtTf9YKvXkyr5WabetqtRHH9BrIIIo6Qf+JPKGhrCV1IWKUNRFMIdV6HaYzMnr2RX34ldfnPwu95+GYo9sfeOUBJY5dcHv2odF6FafS2KXFKjfpBV9gK01CE9OyCLeNmVoDgIBGbXeeipo/os21XyfUQ6N1Qodi5m6rieX51lyh3FV+Oq3uIqHD+LcPLjvdSpABpNhV8j5ngeOGWpSyhyZqevzwQucRRFQUn/XbLsRlC9hzS9+3Noie3akEWi5GaE5nlM6LFPY8RPQ0m/aXdJIkik64ZY8U9Ab0RBQY9/EiM+u7cuAKGQKvkFrr4FIQRa/BTM+KeCgoooSHeFg0sHDaHrKSnsRlVU1PhsjNgne+kDj1jRL3G0Nd5YJE8iHDuLzByhBG13aGNb+AocxTu32uQ9qKLCSwAtNEBHQUXg0KU9R5c+hwJ7NsXOpwGIqwtpCN1IRdQTC8JtN6O6Zb2MDzjaFuLF/y/4Pdp+A6qbLQhlyrtqI13FPwpErsLO69Gd/TNdh4sghcAmbv4TJz0XKXYVRZ23Alrg0VBnXktSW0Y55Vj2sZRZX0Xgpu3A/09FQaUh9CPi6hLvO+3TGGVdRl+06L+j03gagBs/eiPXfvhabrzl5/w9cTDJ9HXcbNwTiHkR50OMTv0AgZMeAzXoX5dutoS/gau0gYBxib+jEqLBvIm49hYHjz6UzzWegYLCP0a9QfPmr6Xr8Nvv959C3Pw3XaFHcYWL7kyjIn7bDm3v0v5Ls3k3CgrF2kGUdt2WFl7UoN9cEoBDq/FHlOg8VEXFcPYn2vVdvPlKC/rO778244+0656XkeFOREEjpa7lmIrzqNvkibWKYuEIC4FDynidZMHDaKqGcA2K2u4NbHN7toWuIKWupdg9kRLrPDrUF2g3HqEmdQcf11Ik1Pf5i/IQJda5FDvetaGmPap8HNrZHD436LLq5G0YYlz6nFUQKuAiFAdXaaS75Mfoqo6CQqjj+6j2eHa8kEEoXXSVeKG/QoQp7LgR1R3N1tC3ibiHM8r+OicYq/mbdiNddFGZup6Qe0Awaj3rShEvy9x7zc5L0K2DtiulBP3fUfb1YMfLotiVFLgfCUptDn0NR21gunIniZi3C63A2zGzXX+UVOQ5bz6xJ1Ae+1nwjAbQrc6jKeQJz8cV/46N9dXp8bNxhA24gEtn5Dc45mI0VUNPzSTafbHf8iCRvPe9Fs3G3XTrL2FqJiE1QrTranR3LI75IEltOe3CZlziz8HfJNT3qA95/fr5yVez8N1jd+gxgUNcXUBj6BYM1SDqzqQ0/kNspYEt4a8Rdg6jKvXTdK856d0WFWxtLbGi23CEQ8yKURn/BSGxX1a9Ni4xQCFhvIhb9HdPMHIKKe74FZm5w2+P13cx/WVazLu8uUuEGJ/4W1CnS4L60HWk1FWMS93HKLeYE8113KvfhONEqU086M3Sigj617u2FGxzAcmCh3GEg+salLY/iH/dee1NpZP1K6SMN0kU/A6BQLhhyjv+0KPPLGUTW8PfBOAQ4z46OsYBYJjNrNHOD8pVJX+O4Y7F0yfU9HyjglBw1RY6ir+PK1xc4VLa9f8w3Gk9vsclydbwxWhiFGOSd3h1mv/kTe23ABSKoylLfB+C+ZisPjWoN39IUnsXVRTwmbG3M3pjgrj2No/wSPAdZdZZFNln4t3bfI81L3xVCOgovAlb3QBAJPVJIokvACJzLln/NoevJ66+iytciuzPUG5dTDZNxi/p1l9CUzS+NPZ/zF3Ve+jw1tC3sNR1Oxw/asxRnLbtNOamprDOGZVuqUPmgcf7d1v0qwily5ufU+cRsU4imO/Tzxn+c2VH8VUItQ2BIBw7h0jq0+maLIQST99Dvb+Nl9wQPMcYsTMwE6dk9Xn2v9Be+CNs1dt4KJI8g2jy8/S89jK23xi+BktbjRCCQut0Sq2v9dov28zvk9LeB+Ac91I2Wh9ms1ua1Q8Zj8OUuobmiLeuEEJQG3s63beXYqkbGZO4F1NMTJd2qTdvJqEtRFVUSt2PU5D82g796rVaJVHwW2xzCa5w0RJHUxC/lOxrKZsm4xd06y97/eB8iMrUj3o9N+h5vwdv44mLrIuot6cx35qY3qnYTe8S69uroLPgFwhjtXePTR5HOH5un98RK/g1tvEOAEbqQ0S6v7pdicx6uytyH814z0YF9scYZX0rq1zmXg/eejWu9UxRMaHwUE5qv4AKNY5xbIxbXvsF4xN/T7ffxiXFtui5GJqBgsL5M87nvk/d12fbs0mlUtx6q3d/ufbaa3cQ+/ZWctGJ9noPtV//+tfcfvvt1NXVMWPGDO655x6OPvrooW7WkNGdclBE329Km2Ot2KoXQlFqOZhiRwNxaCVuPss5h3yWVS0rWbh1Ia5jooueHhUJ9V3CoRYOrS5lduWXWdW8iveb3keLl3qhLL1ItZa9jfqs3BK1TgE6vbfXsZup764Pfq9xIhh9nJvtdAdbhgOMsUNofZR1HLtHouMqxySc1Q8uMZrM2znriKO56+SzuPSRt3n9gxZUtGDnn6gTJyxKe60foCMRp9v22h52xlG1kzHpSCbpcryyIaeS6l7GxKc7adHhemVNt5gxwWJ3R7qSFu2u9xbVcHVq3L7b251yaBNeWc21GbuTsvGUoCU9hqooZtxOyiZSCs3psooIMX4nZZOWSlPWeE/YSf+mLJ2GrLLj3CIUevdMsGyjhx2NdQpQ6aVuASnR0CP3Sa0TRe+jHZbd3qPeMU4Is49xVoni4tIc9x5+xtjhnvaZda04uD0SGlfZBuE++s2lu0fZSksn0kdZgdPj3EZbGtGd2GVjrAkUL6xllK1gbLeYzaYt0RokWy+3ISR6ESzTdKY6cRRP+NJsQYTek+ALLJxUDQXhFCErhCdWeGOsEEYj3KPfmmJNQS6bspRD8U6uo5Z4G7bqzQGlloOZXvQLbFRCQCiouy3Rjp0O6yi1XEzfHnqZ35rjbVjp+bXEsghtN2cKbBR0NMoQqME8VGylKNtJezsT3SQ179yKbGuHPhM4dGr/Iq7N53BlEhZjeYd3wC1GpbdxUzDd/RA8z5jK90luOwUbk5DqzSd+stpaN4LSx7i7jtkjzCfshtBE7153rttBW6It+D3i6mjYxNW3UCkg7B4ajK3jakFZ3Y1QnPYkcUnQpT2Pra3gtCmncejaQ5kjBM0Yvb278fqlx/tCka4niSCGUOIoahJNS2KGmjiwIsV+lV/h7IPP5hPTPkEqlSKkOHwy9D7J/WazeFM7n57+KV6p28r6tvU4MR0Fc4fvtpRNdOrPETYsau1ptCvtWMombHUrcfUtCowC7jn1Ll75v1cA+O4xV/LjzX3nsLJdEYQRJVlOKnQp1dYNVACWspkO5yAqKaOIiaxnPe32SgppRmdU+nzjeMsOf37U6Ex5IWAhp5uCPsbM67+s81LXA1BbVMsDZ1zNt3+ziA1OKUIYqGnB0XGNYNdLRYQozhLTBC6WstkTpkUlZUqcTqJ0qC/RYb4SvHw4fWY3lUsdHGUs3zjiGzyxwEVNXxsCl7i6EE2UERLTMNUNGIpB2Ax7QlmiGLWXOU0R3n092warbYNQX7Yt7B6htAZbiBl/w1Y3M2VMJXeeeAgvP76YczmXZwqfwW0uCNq4Yx8meiR/Hm1rO59L4+1eg4GidAicQxdtxsM4agMza2bysxM+xFV/2ECzKEBBTwtdehD6abjJHovJuLqQVvN+VEXlvBnnceEBH+eiPywijokQepAgHiDlOMTS9hG1ExT0MT8rGOmFmBeqmXJSxMxfcuDoKXysaRbtTOEv+tNBeUvZRLv+KKqicuSYI7lh9rn8ZNU8Flm1OKgoiosQ3qJQTduN5Vq0Mx9Ve5q49jYAB481+HhlEX9+ox2Bhop3r9GdyV4i8/QFqSkFILzvVUWx5z2WDtN1XT2Yu1ThUtLHswN414Ar3PQ5Zy6IuLqUFuM+HHULZx50Jh8pO5oFL79OiWpzxdFXcO+bf0JN953Sy70iaYvgeUARIcq2W455c4s39zmultlNVnRQlr6PAKSUDbQYvwHghIkn8OWpR/CLf24hjklZuIxKszJ4NlZFodcHvbRHCL1H+HKx6Bl+6dJNk3kHjtKMSztjK7eypWEM4xlHbPTBLG9cjmrXBufcG6OMGXzs4MOpLqjmmllncu8d9wJTueG4G/jpaz/FEQ6CAhR68b7yNDXiVpJU2nNYs0Wf9glguy6ukiXKBecSI64uplt7lbHFY/nW0d/i0xNnsGbNc9S7RThZ147A6SEkm5pJcaiYj4z7CPeeci+/v/v3jFJiOOVj2dwaxxU7evg4roWbfpbCLQrscLtmAdCZ6sJRvLHWHDeYQRUMFGH0KOs9m3g2VGo7hHbSFzErjpXuN91xA9vqDUc4wUYlvfnc2Eoj7fqfSWnvU1tUyzUfvoZ3/50kJkwvekCQFney+kIoPXI1ppT1JNSlWMpGTM1k5rRGVq+qIY4JqIyOlrEp6XvzCYp2+kwZJ+5413PUTlC4U2kj+47t2Ua2IJb5WaCrGlEjiqZohPUwv5j9C9Y9s44N6XHw7WL7Z4CElSLhemNYaFtEdtL27lSCuNMGQIGdIkrvZV0SdLprQAUdHU9UNXotCwS2oioqET3CtFHTuOG4G1j6hJeb7rsf/gExS+HJV0jfK0xUvLF30rt6D4edVvcm9moPtb/85S+cd9553H///RxzzDHceeedPPHEE6xcuZLKyspd/v2+6KG2sqGelY2behxTsi732lID0/BuFq3dDh1xp0eZwrBKTUkBk8omeW+ZhXfTX7plC7Yj0FQVTVWJGBpVxWHGl4zv4SIqhGDeB+tojjVDL266IUOhpjQzCWxstnDcHU1QQcHUFWrLMmU3t1jBriXbo6sKY8szZbe2ZXJLbI+mKozLKlvXZpGw07uhaAoVhQa1JRVUF3pvcJPJJD+65Q5cpZMLL/kyqq7SHktR15Hq0bfZVBRpFIW9foklXRo6+95Fq7xAozjilU1YLvXtdrqd3ls2N32JCiEojaqURDUEgkTKYUurjQjezvWktECjvMCrN2ULNrf0vWgriWqMKkwnW3V2XrYorFJR5N1IHFewsXnHsr6LdmFIZXSxV9YVgg1NfddbEFKpLM7cCNc19j2ZR0yV6pJM2fVNKfqaycKGypjSTNmNTRZOH4VDukJNls1tat7O5vwYKDxbGVtuBH2/tdXybC79edRUKYsaGCLCgw88hqa2cP5F56PrOptbU6Rs4b0hR+Cmv0Mg0FWVCRVZttxqkbR7b6+iKEzMKlvXbhNP9Z2HZHJl5kG1vt0mYXn1Kl5lmZ+B8aNM1PSx5i6HWFa9/jkr6TbUlBlo6W0SW7sdYkk3aF+mau/n6mIDXfNCT9pjNt3JrLfZ/j+KQllUJ2KqVIQq+NXtv6JDCE4569OUFkRJOSqqCNGZ6gxu+mPLvHq99tp0Jdxe5yCAsaUmhp7V3pRLeYFGSSSCY5eBq7O5czOWYzGmRMffsKi506Y97uwwZgBquh/ChvfmvyPh0hFzURUFVVEoK9ApCGkIq5D7fvsIutLCl79+FqZh0h5zaI97/aAomX5T07+PLs7U25lw6Ey4wSioikJhWKMkohNRIzx4l+e5edEVF/FeYyu24wA2pq4RMUwihklxJERRKEyBUYAmNH56y23EhMHXv3ER4WhXkP9kS2vP+Tl7njE0hTGlRtDWbW09r5Xssrras2x9u0VBSKUwrBFRI/z6roexhcoXzz+HUNgmYnr3Jcf1xkdTVSoKQ0QMk5JwCSYmt956K5ZQOeeir5ESNq7wHoYVxesTXVUoiZiEdB1N1XBcvAdjw/BCZnYRbrOrN66NXe3Ud3aTsm1sYeG4NoamMKrQ8N6qG6Xc+Ys7AfjGFZdhKXEKzUKKQkW4thvU/b2rrmZTR4zG7gYcYXvv1VXPZhRFpTCkURzR8cO1FBSK9eKg7m9+6zv86u57CCsOF3zrAmxskraDSSWFoTC63kV9VzOqGEVYj+Aq7Qglhitc4kmH+o4UQnHRVRVD1TB0DVPVMXSNQtOgIGSiqRqaohHSQ0T0CJZlceutt5ISKl+/9NsoqsbWjnp03aG0wNs1Ugiob3cojuiEdRVd1ZkyaryXQN4yueuO23FxOeeScxCqF75dXVhNRI306PeN7a1saG3GFQ5FEZWisLeoHR2q5q5f3oGLyzVXX0M4FGbBhnU0xzpQFC+0x9A1VHRUxbuAa8o0LMcK7NVyMmGCvr2qioKqQm2ZGRyzHIGpq4T1MLVFtTi2kxm/H3yP5Q1b6U7auMIJdqHMZvyojO00dNgkrZ7zuYL3XKKpMKY0hKEZXiixW4QjXITSjaGpRI0o5ZFyLMvilltuJYXGNy77Nq4CihoD1RPUHAc6Ey6aolIYNoiYmmeT4VJMzSSVSnHLLbeSQOeSSy9H1XTquhtJ2inKogohw1tYxVOC1m4bRVEwNIXSiI7tCgw1QlQvJmwKNM0maSdJOkkM1aAqUsXPbvM8t7/7/e/SZadQFIeIGfI82dJhRf715Qq44ntXUV4UpT0eoy2eJKyFKYg4tMZbsV0bXfWuYUM1qIhWYFkWN9/yM5JC58JvXEJCxLDcGEVhB0MzKAoVkUgUIJQEKdHihXAlCvn9g4/g4nDW+Z+mtMjrE9eFpk43uOY0RUVV0/8qChFDpyiie+H/ArqSLoamURjyjpmaSYFZsMN8kXBTLNmyyVugptfo3nOHt3CPhjJzhYpKS7dXr6aqRA2DroSLI1RCmknCaaO0QA3mgJTlPWeYapixJRWk3BSaogXt8G3ju9/9LhXFUVoTrTiuw6aWGF0pC1fYOK6DI2wUBLqmYmgaVcWm1x5F9e4xQg2e+QtMnbCROeeQEuKmW36OiuBH1/6ApmQTnckkmltOS6KFmJXJJaapCoVmhBljJqBpaq/zq+VY3PjzG+kWDl845wJ0XccVIvhPCE/gqC4xCRne2qQ9btMet3GFSJ+Hhq6q6KqGrmqURY2gzbYDtgumphE1vX6PGtFg/ZLdnmuuuQZFM1AV0DUVx/UEJkMzeqSB2P4cHDQ6ElbwLJqwE7Ql2hhVqKMqCgJBU6dFPAURPUzciZOw4jjCC+tUUBhTaqKp3jzfEXfStqjQlXRJWIKSUIn3HJDqoKTAwtQ9u2iPOXSn3Kz7RNqPTfV+Hl1kBmW7kt617c98avr7VK8RlEZ0TD29Jkm5JGyBioKuKYQNjZCuoas6USNKSA/16Ierr74GR9HoStrYrkPcStCd6kRVBWUFmWdVx/WeCxRFoTxSjuqqgd1+8/JvM7o4StzpJG7HaezsoqnLm7f9Zy8Xb8wVRVBWkLkeUzbEUqTvZzqaqno/axqaqhExdEK6Hti5qnj3Jv/n/jwTCAGXfff72KjYrktrvI24lQhCR0cVasEc2p1waYv1ngtOURRGFXrPuQDdSSddtmcbIoZKeYGGbds8/NuHCRPmnEsuoC2RCp4TNMVbM4cNz76jRpSIEcFQM89d29urrht0JmzilkVHopuUm6LMv38jKDQLg2iFXSE91PZyD7U77riDiy66iK9+1XORvP/++/nXv/7FH/7wB6655podyieTyWB3IfA6al9jemUV0yv7zsOSK4qiUBGt4KRp/buoFEXh2CmTgcn9Kn9oDk09ZIDKHrwL7VVRFArVFBBiavnUgZ8oxuZQdlz/ix6VQ70za/tf9ojeI2t75bDq/pfNxTaGQ9m+bC6VSlGuOkAJB1QcgGmaHLRrvT9gRg59lktZcpkmcmgv/ZsqPMp3XSSV8gSzYkXhhCmH9O/6y8MUuP+YXrz3cumHPkilUlSoSaCAQyr7eT451O3jzdu7vjhTqRSaIihSUkyuKMY0MwN4YO8R9r2yfw7jvl9WCq9UKkVEsUGBw8fW9Ks//PM0FJdpo0cPycPb6MISRhf27eGZPRbl0Z79miLzmamrHFBdzgH9uRh6qTtqaoQV74F9TOGYXvoiTEVB9uBs9wY8h/l7e0zFpbY0gmmaTKzY0dOtt3muVCslpXrtV1GZXDa5R5uzzw1g6ugqpo7e8YL2y6moaKqXx+5DE/v33NFX2/qLQ2aBZGomH5rQd+6x7cnlmsqw48WlKBDCYUxJON1/ub0UVhSIYFOTHr/xo/r2osiF7PELG2GKC3beLlWBwpC3FCmJRCmJZLxsCs2+vScNxcVQUkyuKMA0e/HUL/D/NypoV2lacJw5dnrP6yQXW+jbubAHxeFCjp9yQP/r3en8ufMbe3g7DzvfNkoiRiBYAIzOzxADXn+a6XlHURRqi7MfGktzrs/QDAoppFCBYyftP6QLckVRMPWMcKapWr9yS0VMjYiZXS7M9n0xNm++G2PyVVFeUVWFsKlTEPLlhcw1uDNSqVRgt1XFYUxTJ0wZZZRR089rbrBQFCiJGIGNjivL44W1E1KpVLAJyKSy/j0r7QxVVSiJGpRgUF3St3ejpH/stR5qqVSKaDTK3/72N84444zg+Pnnn09bWxv/+Mc/dvibG2+8kZtuummH4/uSh5pEIpFIJBKJRCKRSCQSiSR3cvFQG5jtVAaBpqYmHMehqqrnm8uqqirq6up6/Ztrr72W9vb24L9Nmzb1Wk4ikUgkEolEIpFIJBKJRCLpi7065DNXQqEQodDgbjUskUgkEolEIpFIJBKJRCLZt9hrPdQqKirQNI36+voex+vr66muziWRkEQikUgkEolEIpFIJBKJRNJ/9lpBzTRNjjzySF544YXgmOu6vPDCC8yaNWsIWyaRSCQSiUQikUgkEolEItmX2atDPq+88krOP/98Zs6cydFHH82dd95Jd3d3sOunRCKRSCQSiUQikUgkEolEkm/2akHtrLPOorGxkR//+MfU1dVx2GGH8fzzz++wUYFEIpFIJBKJRCKRSCQSiUSSLxQhhBjqRgwVuWyHKpFIJBKJRCKRSCQSiUQi2XfJRSfaa3OoSSQSiUQikUgkEolEIpFIJEOBFNQkEolEIpFIJBKJRCKRSCSSHJCCmkQikUgkEolEIpFIJBKJRJIDUlCTSCQSiUQikUgkEolEIpFIckAKahKJRCKRSCQSiUQikUgkEkkO6EPdgKHE3+C0o6NjiFsikUgkEolEIpFIJBKJRCIZSnx9yNeLdsaIFtQ6OzsBGDdu3BC3RCKRSCQSiUQikUgkEolEMhzo7OykpKRkp2UU0R/ZbR/FdV22bt1KUVERiqIMdXMGlY6ODsaNG8emTZsoLi4e6uZIhgnSLiS9Ie1C0hvSLiTbI21C0hvSLiS9Ie1C0hvSLiTbMxQ2IYSgs7OTmpoaVHXnWdJGtIeaqqqMHTt2qJsxpBQXF8vJSrID0i4kvSHtQtIb0i4k2yNtQtIb0i4kvSHtQtIb0i4k2zPYNrErzzQfuSmBRCKRSCQSiUQikUgkEolEkgNSUJNIJBKJRCKRSCQSiUQikUhyQApqI5RQKMQNN9xAKBQa6qZIhhHSLiS9Ie1C0hvSLiTbI21C0hvSLiS9Ie1C0hvSLiTbM9xtYkRvSiCRSCQSiUQikUgkEolEIpHkivRQk0gkEolEIpFIJBKJRCKRSHJACmoSiUQikUgkEolEIpFIJBJJDkhBTSKRSCQSiUQikUgkEolEIskBKahJJBKJRCKRSCQSiUQikUgkOSAFNYlEIpFIJBKJRCKRSCQSiSQHpKA2Qvn1r3/NxIkTCYfDHHPMMbz55ptD3STJAHHjjTeiKEqP//bff//g80QiwWWXXcaoUaMoLCzk85//PPX19T3q2LhxI5/85CeJRqNUVlZy1VVXYdv2YJ+KZA+YO3cun/70p6mpqUFRFJ5++ukenwsh+PGPf8yYMWOIRCLMnj2b1atX9yjT0tLCueeeS3FxMaWlpVx44YV0dXX1KPPOO+9w3HHHEQ6HGTduHD//+c8H+tQke8Cu7OKCCy7YYf449dRTe5SRdrFvceutt3LUUUdRVFREZWUlZ5xxBitXruxRJl/3jZdffpkjjjiCUCjE1KlTeeihhwb69CS7SX/s4oQTTthhvrjkkkt6lJF2se9w3333ceihh1JcXExxcTGzZs3iueeeCz6X88TIZFd2IecJyW233YaiKHznO98Jju3V84WQjDgef/xxYZqm+MMf/iDeffddcdFFF4nS0lJRX18/1E2TDAA33HCDOOigg8S2bduC/xobG4PPL7nkEjFu3DjxwgsviIULF4oPfehD4sMf/nDwuW3b4uCDDxazZ88WixcvFv/+979FRUWFuPbaa4fidCS7yb///W/xwx/+UDz55JMCEE899VSPz2+77TZRUlIinn76abF06VLxmc98RkyaNEnE4/GgzKmnnipmzJgh3njjDfHqq6+KqVOninPOOSf4vL29XVRVVYlzzz1XLF++XPz5z38WkUhE/Pa3vx2s05TkyK7s4vzzzxennnpqj/mjpaWlRxlpF/sWp5xyivjjH/8oli9fLpYsWSI+8YlPiPHjx4uurq6gTD7uGx988IGIRqPiyiuvFCtWrBD33HOP0DRNPP/884N6vpL+0R+7+OhHPyouuuiiHvNFe3t78Lm0i32LZ555RvzrX/8Sq1atEitXrhTXXXedMAxDLF++XAgh54mRyq7sQs4TI5s333xTTJw4URx66KHiiiuuCI7vzfOFFNRGIEcffbS47LLLgt8dxxE1NTXi1ltvHcJWSQaKG264QcyYMaPXz9ra2oRhGOKJJ54Ijr333nsCEPPnzxdCeAtuVVVFXV1dUOa+++4TxcXFIplMDmjbJQPD9sKJ67qiurpa3H777cGxtrY2EQqFxJ///GchhBArVqwQgHjrrbeCMs8995xQFEVs2bJFCCHEb37zG1FWVtbDLq6++moxffr0AT4jST7oS1A7/fTT+/wbaRf7Pg0NDQIQr7zyihAif/eNH/zgB+Kggw7q8V1nnXWWOOWUUwb6lCR5YHu7EMJbKGcvkLZH2sW+T1lZmfjd734n5wlJD3y7EELOEyOZzs5OMW3aNDFnzpwedrC3zxcy5HOEkUqlWLRoEbNnzw6OqarK7NmzmT9//hC2TDKQrF69mpqaGiZPnsy5557Lxo0bAVi0aBGWZfWwh/3335/x48cH9jB//nwOOeQQqqqqgjKnnHIKHR0dvPvuu4N7IpIBYd26ddTV1fWwg5KSEo455pgedlBaWsrMmTODMrNnz0ZVVRYsWBCUOf744zFNMyhzyimnsHLlSlpbWwfpbCT55uWXX6ayspLp06fzzW9+k+bm5uAzaRf7Pu3t7QCUl5cD+btvzJ8/v0cdfhn5LLJ3sL1d+Dz66KNUVFRw8MEHc+211xKLxYLPpF3suziOw+OPP053dzezZs2S84QE2NEufOQ8MTK57LLL+OQnP7nD2O3t84U+oLVLhh1NTU04jtPDGAGq5W8bcAAAB2JJREFUqqp4//33h6hVkoHkmGOO4aGHHmL69Ols27aNm266ieOOO47ly5dTV1eHaZqUlpb2+Juqqirq6uoAqKur69Ve/M8kez/+OPY2ztl2UFlZ2eNzXdcpLy/vUWbSpEk71OF/VlZWNiDtlwwcp556Kp/73OeYNGkSa9eu5brrruO0005j/vz5aJom7WIfx3VdvvOd7/CRj3yEgw8+GCBv942+ynR0dBCPx4lEIgNxSpI80JtdAHzpS19iwoQJ1NTU8M4773D11VezcuVKnnzySUDaxb7IsmXLmDVrFolEgsLCQp566ikOPPBAlixZIueJEUxfdgFynhipPP7447z99tu89dZbO3y2tz9XSEFNItnHOe2004KfDz30UI455hgmTJjAX//6V3nDkUgkO+Xss88Ofj7kkEM49NBDmTJlCi+//DInnXTSELZMMhhcdtllLF++nNdee22omyIZRvRlFxdffHHw8yGHHMKYMWM46aSTWLt2LVOmTBnsZkoGgenTp7NkyRLa29v529/+xvnnn88rr7wy1M2SDDF92cWBBx4o54kRyKZNm7jiiiuYM2cO4XB4qJuTd2TI5wijoqICTdN22DWjvr6e6urqIWqVZDApLS1lv/32Y82aNVRXV5NKpWhra+tRJtseqqure7UX/zPJ3o8/jjubF6qrq2loaOjxuW3btLS0SFsZQUyePJmKigrWrFkDSLvYl7n88st59tlneemllxg7dmxwPF/3jb7KFBcXy5c9w5i+7KI3jjnmGIAe84W0i30L0zSZOnUqRx55JLfeeiszZszgrrvukvPECKcvu+gNOU/s+yxatIiGhgaOOOIIdF1H13VeeeUV7r77bnRdp6qqaq+eL6SgNsIwTZMjjzySF154ITjmui4vvPBCj9h2yb5LV1cXa9euZcyYMRx55JEYhtHDHlauXMnGjRsDe5g1axbLli3rsWieM2cOxcXFgfu2ZO9m0qRJVFdX97CDjo4OFixY0MMO2traWLRoUVDmxRdfxHXd4GFo1qxZzJ07F8uygjJz5sxh+vTpMqxvH2Hz5s00NzczZswYQNrFvogQgssvv5ynnnqKF198cYdw3XzdN2bNmtWjDr+MfBYZnuzKLnpjyZIlAD3mC2kX+zau65JMJuU8IemBbxe9IeeJfZ+TTjqJZcuWsWTJkuC/mTNncu655wY/79XzxYBueSAZljz++OMiFAqJhx56SKxYsUJcfPHForS0tMeuGZJ9h+9973vi5ZdfFuvWrRPz5s0Ts2fPFhUVFaKhoUEI4W1TPH78ePHiiy+KhQsXilmzZolZs2YFf+9vU3zyySeLJUuWiOeff16MHj26xzbFkuFPZ2enWLx4sVi8eLEAxB133CEWL14sNmzYIIQQ4rbbbhOlpaXiH//4h3jnnXfE6aefLiZNmiTi8XhQx6mnnioOP/xwsWDBAvHaa6+JadOmiXPOOSf4vK2tTVRVVYmvfOUrYvny5eLxxx8X0WhU/Pa3vx3085X0j53ZRWdnp/j+978v5s+fL9atWyf+97//iSOOOEJMmzZNJBKJoA5pF/sW3/zmN0VJSYl4+eWXxbZt24L/YrFYUCYf9w1/e/urrrpKvPfee+LXv/71oGxvL9k9dmUXa9asETfffLNYuHChWLdunfjHP/4hJk+eLI4//vigDmkX+xbXXHONeOWVV8S6devEO++8I6655hqhKIr473//K4SQ88RIZWd2IecJic/2u73uzfOFFNRGKPfcc48YP368ME1THH300eKNN94Y6iZJBoizzjpLjBkzRpimKWpra8VZZ50l1qxZE3wej8fFpZdeKsrKykQ0GhWf/exnxbZt23rUsX79enHaaaeJSCQiKioqxPe+9z1hWdZgn4pkD3jppZcEsMN/559/vhBCCNd1xfXXXy+qqqpEKBQSJ510kli5cmWPOpqbm8U555wjCgsLRXFxsfjqV78qOjs7e5RZunSpOPbYY0UoFBK1tbXitttuG6xTlOwGO7OLWCwmTj75ZDF69GhhGIaYMGGCuOiii3Z4+SLtYt+iN3sAxB//+MegTL7uGy+99JI47LDDhGmaYvLkyT2+QzK82JVdbNy4URx//PGivLxchEIhMXXqVHHVVVeJ9vb2HvVIu9h3+NrXviYmTJggTNMUo0ePFieddFIgpgkh54mRys7sQs4TEp/tBbW9eb5QhBBiYH3gJBKJRCKRSCQSiUQikUgkkn0HmUNNIpFIJBKJRCKRSCQSiUQiyQEpqEkkEolEIpFIJBKJRCKRSCQ5IAU1iUQikUgkEolEIpFIJBKJJAekoCaRSCQSiUQikUgkEolEIpHkgBTUJBKJRCKRSCQSiUQikUgkkhyQgppEIpFIJBKJRCKRSCQSiUSSA1JQk0gkEolEIpFIJBKJRCKRSHJACmoSiUQikUgkEolEIpFIJBJJDkhBTSKRSCQSiUQikUgkEolEIskBKahJJBKJRCKRSCQSiUQikUgkOSAFNYlEIpFIJBKJRCKRSCQSiSQH/j8a63l9Ispb4gAAAABJRU5ErkJggg==", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "spe_sil = spe_si\n", - "\n", - "calmodel = CalibrationModel(laser_wl)\n", - "calmodel.prominence_coeff = 1\n", - "\n", - "# find_kw options affect how many peaks will be found\n", - "# prominence will be set \n", - "find_kw = { \"wlen\" : 100, \"width\" : 1 }\n", - "model_neon = calmodel.derive_model_curve(spe_neon,neon_wl[laser_wl],spe_units=\"cm-1\",ref_units=\"nm\",find_kw=find_kw,fit_peaks_kw={},should_fit = True,name=\"Neon calibration\")\n", - "\n", - "####ne_const_cm_measured = (1/532 - 1/(model_neon.peaks.Wavelength))*10**7\n", - "\n", - "fig, ax = plt.subplots(figsize=(15,4)) \n", - "neon_processed = model_neon.process(spe_neon, spe_units=\"cm-1\",convert_back=True)\n", - "neon_processed.plot(ax=ax, color = 'green', label = 'mode_neon.process')\n", - "\n", - "#neon_processed.plot(color = 'red', ax=ax, label = 'model_neon.spe')\n", - "spe_neon.plot(ax=ax, label = 'original spectrum', linestyle = '--' )\n", - "####plt.vlines(ne_const_cm_measured, ymin=0,ymax=70000, color = 'purple', label = 'after model_neon.peaks.Wavelength')\n", - "plt.vlines(ne_const_cm, ymin=0,ymax=70000, color = 'gray', linestyle = '--', label='NIST')\n", - "#plt.xlim(1650,1800)\n", - "\n", - "#plt.xlim(1650,2900)\n", - "#plt.xlim(2300,2600)\n", - "\n", - "#plt.xlim(3000,3600)\n", - "plt.legend()" - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "1c7e76ea-35f8-4d8d-96e3-9592d027a965", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 31, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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    " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig, ax = plt.subplots(figsize=(15,4)) \n", - "\n", - "model_neon.process(spe_neon, spe_units=\"cm-1\",convert_back=True).plot(ax=ax, color = 'green', label = 'mode_neon.process')\n", - "model_neon.spe.plot(color = 'red', ax=ax, label = 'model_neon.spe')\n", - "spe_neon.plot(ax=ax, label = 'original spectrum', linestyle = '--' )\n", - "\n", - "#plt.vlines(ne_const_cm_measured, ymin=0,ymax=70000, color = 'purple', label = 'after model_neon.peaks.Wavelength')\n", - "plt.vlines(ne_const_cm, ymin=0,ymax=70000, color = 'gray', linestyle = '--', label='NIST')\n", - "#plt.xlim(1650,1800)\n", - "\n", - "plt.xlim(1650,2900)\n", - "plt.xlim(1500,3200)\n", - "#plt.xlim(2300,2600)\n", - "\n", - "#plt.xlim(3000,3600)\n", - "plt.legend()" - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "id": "06d7db31", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    " - ], - "text/plain": [ - " amplitude amplitude_stderr center center_stderr sigma \\\n", - "g00_p0 19979.297157 182.283889 584.965471 0.001272 0.119105 \n", - "g00_p1 2530.764693 163.650038 587.906096 0.004978 0.080536 \n", - "g01_p0 4428.083597 16.873905 594.180507 0.000443 0.078054 \n", - "g01_p1 1250.641669 17.654211 597.231705 0.001465 0.085070 \n", - "g02_p0 1388.640076 9.034721 602.665996 0.000502 0.081817 \n", - "g02_p1 4428.491151 8.420066 607.085138 0.000217 0.081446 \n", - "g03_p0 10220.824972 41.328402 613.934935 0.000464 0.083912 \n", - "g03_p1 3345.991940 41.479006 615.982241 0.001417 0.084498 \n", - "g04_p0 2537.759219 13.100260 621.334825 0.000590 0.085367 \n", - "g05_p0 6827.210708 12.318972 626.246701 0.000161 0.087278 \n", - "g06_p0 2595.844194 22.592313 630.064513 0.001004 0.089924 \n", - "g06_p1 6080.825287 22.711825 633.022308 0.000439 0.092325 \n", - "g07_p0 9568.070663 41.221045 650.210158 0.000434 0.095708 \n", - "g07_p1 3411.134624 40.032434 652.847126 0.001214 0.092965 \n", - "g08_p0 4102.907596 12.497564 659.459643 0.000364 0.096672 \n", - "g09_p0 7005.016588 17.965525 667.410119 0.000308 0.096756 \n", - "\n", - " sigma_stderr fwhm fwhm_stderr height height_stderr \n", - "g00_p0 0.001223 0.280472 0.002880 66920.482503 605.961261 \n", - "g00_p1 0.011881 0.189647 0.027977 12536.389439 1479.465588 \n", - "g01_p0 0.000367 0.183803 0.000863 22632.396699 87.100239 \n", - "g01_p1 0.001796 0.200324 0.004229 5865.009935 99.442086 \n", - "g02_p0 0.001145 0.192664 0.002697 6771.052760 74.918711 \n", - "g02_p1 0.000172 0.191791 0.000406 21691.802110 39.391940 \n", - "g03_p0 0.000318 0.197597 0.000748 48592.980552 170.364889 \n", - "g03_p1 0.001063 0.198978 0.002503 15797.455262 178.845748 \n", - "g04_p0 0.000435 0.201023 0.001025 11859.639033 55.006617 \n", - "g05_p0 0.000266 0.205525 0.000626 31206.654777 73.810185 \n", - "g06_p0 0.000794 0.211755 0.001871 11516.279601 92.927725 \n", - "g06_p1 0.000339 0.217408 0.000799 26275.686482 90.447283 \n", - "g07_p0 0.000581 0.225374 0.001369 39883.046221 191.156912 \n", - "g07_p1 0.001490 0.218916 0.003508 14638.231164 189.080426 \n", - "g08_p0 0.000304 0.227644 0.000715 16931.778128 49.119563 \n", - "g09_p0 0.000252 0.227843 0.000594 28882.993040 70.117931 " - ] - }, - "execution_count": 33, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model_neon.peaks" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "id": "afe8f888", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{np.float64(584.9654708885548): np.float64(19979.29715703588),\n", - " np.float64(587.9060960014639): np.float64(2530.764692622709),\n", - " np.float64(594.180507172662): np.float64(4428.083596888973),\n", - " np.float64(597.2317051224709): np.float64(1250.641669494997),\n", - " np.float64(602.6659964631717): np.float64(1388.6400762348615),\n", - " np.float64(607.0851376782687): np.float64(4428.49115144502),\n", - " np.float64(609.2602832867299): np.float64(7214.27532290361),\n", - " np.float64(613.9349352901752): np.float64(10220.824972247096),\n", - " np.float64(615.9822413964445): np.float64(3345.991939916729),\n", - " np.float64(621.3348250589811): np.float64(2537.7592185539497),\n", - " np.float64(626.246700551304): np.float64(6827.210708080425),\n", - " np.float64(630.064513185747): np.float64(2595.8441936880854),\n", - " np.float64(633.0223079076368): np.float64(6080.8252865615705),\n", - " np.float64(637.8721213091393): np.float64(10247.793524349965),\n", - " np.float64(639.791837235907): np.float64(13382.501772035303),\n", - " np.float64(650.2101579639784): np.float64(9568.07066331986),\n", - " np.float64(652.847126163388): np.float64(3411.1346239854342),\n", - " np.float64(659.4596429820438): np.float64(4102.907596427345),\n", - " np.float64(667.4101192947111): np.float64(7005.016588011808)}" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model_neon.spe_pos_dict" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "id": "d6760f50-66dc-4577-88a1-6238dd38fdbc", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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    WavelengthIntensitySourceCluster
    0584.9654711.000000e+00spe18
    1587.9060966.835104e-02spe0
    2594.1805071.696567e-01spe22
    3597.2317050.000000e+00spe6
    4602.6659967.368303e-03spe16
    5607.0851381.696785e-01spe9
    6609.2602833.184229e-01spe25
    7613.9349354.789550e-01spe3
    8615.9822411.118794e-01spe26
    9621.3348256.872450e-02spe12
    10626.2467012.977560e-01spe14
    11630.0645137.182590e-02spe24
    12633.0223082.579034e-01spe1
    13637.8721214.803950e-01spe10
    14639.7918376.477699e-01spe35
    15650.2101584.441018e-01spe5
    16652.8471261.153576e-01spe21
    17659.4596431.522942e-01spe13
    18667.4101193.072498e-01spe2
    19540.0804671.000000e+00reference8
    20556.3000952.307692e-01reference4
    21565.7036922.307692e-01reference15
    22571.9517202.307692e-01reference7
    23574.8548442.307692e-01reference20
    24576.4641843.333333e-01reference30
    25580.4717582.307692e-01reference11
    26582.0495422.307692e-01reference32
    27585.2682231.000000e+00reference18
    28587.3193442.307692e-01reference0
    29588.2344594.871795e-01reference0
    30590.2855790.000000e+00reference23
    31590.6642473.608510e-17reference23
    32594.5140422.307692e-01reference22
    33596.5651632.307692e-01reference33
    34597.5336875.531067e-01reference34
    35598.8371735.128205e-02reference29
    36603.0340804.871795e-01reference36
    37607.4518784.871795e-01reference9
    38609.6607761.282051e-01reference25
    39612.8794572.564103e-02reference31
    40614.3310194.871795e-01reference3
    41616.3821394.871795e-01reference26
    42618.2439265.128205e-02reference19
    43621.7466084.871795e-01reference12
    44626.6692964.871795e-01reference14
    45630.5190912.564103e-02reference24
    46632.8542131.282051e-01reference1
    47633.4853274.871795e-01reference1
    48638.3449044.871795e-01reference10
    49640.2698011.000000e+00reference27
    50650.6831817.435897e-01reference5
    51653.3338592.564103e-02reference21
    52659.9290004.871795e-01reference13
    53665.2303575.128205e-02reference28
    54667.8494792.307692e-01reference2
    55671.7308301.025641e-02reference17
    \n", - "
    " - ], - "text/plain": [ - " Wavelength Intensity Source Cluster\n", - "0 584.965471 1.000000e+00 spe 18\n", - "1 587.906096 6.835104e-02 spe 0\n", - "2 594.180507 1.696567e-01 spe 22\n", - "3 597.231705 0.000000e+00 spe 6\n", - "4 602.665996 7.368303e-03 spe 16\n", - "5 607.085138 1.696785e-01 spe 9\n", - "6 609.260283 3.184229e-01 spe 25\n", - "7 613.934935 4.789550e-01 spe 3\n", - "8 615.982241 1.118794e-01 spe 26\n", - "9 621.334825 6.872450e-02 spe 12\n", - "10 626.246701 2.977560e-01 spe 14\n", - "11 630.064513 7.182590e-02 spe 24\n", - "12 633.022308 2.579034e-01 spe 1\n", - "13 637.872121 4.803950e-01 spe 10\n", - "14 639.791837 6.477699e-01 spe 35\n", - "15 650.210158 4.441018e-01 spe 5\n", - "16 652.847126 1.153576e-01 spe 21\n", - "17 659.459643 1.522942e-01 spe 13\n", - "18 667.410119 3.072498e-01 spe 2\n", - "19 540.080467 1.000000e+00 reference 8\n", - "20 556.300095 2.307692e-01 reference 4\n", - "21 565.703692 2.307692e-01 reference 15\n", - "22 571.951720 2.307692e-01 reference 7\n", - "23 574.854844 2.307692e-01 reference 20\n", - "24 576.464184 3.333333e-01 reference 30\n", - "25 580.471758 2.307692e-01 reference 11\n", - "26 582.049542 2.307692e-01 reference 32\n", - "27 585.268223 1.000000e+00 reference 18\n", - "28 587.319344 2.307692e-01 reference 0\n", - "29 588.234459 4.871795e-01 reference 0\n", - "30 590.285579 0.000000e+00 reference 23\n", - "31 590.664247 3.608510e-17 reference 23\n", - "32 594.514042 2.307692e-01 reference 22\n", - "33 596.565163 2.307692e-01 reference 33\n", - "34 597.533687 5.531067e-01 reference 34\n", - "35 598.837173 5.128205e-02 reference 29\n", - "36 603.034080 4.871795e-01 reference 36\n", - "37 607.451878 4.871795e-01 reference 9\n", - "38 609.660776 1.282051e-01 reference 25\n", - "39 612.879457 2.564103e-02 reference 31\n", - "40 614.331019 4.871795e-01 reference 3\n", - "41 616.382139 4.871795e-01 reference 26\n", - "42 618.243926 5.128205e-02 reference 19\n", - "43 621.746608 4.871795e-01 reference 12\n", - "44 626.669296 4.871795e-01 reference 14\n", - "45 630.519091 2.564103e-02 reference 24\n", - "46 632.854213 1.282051e-01 reference 1\n", - "47 633.485327 4.871795e-01 reference 1\n", - "48 638.344904 4.871795e-01 reference 10\n", - "49 640.269801 1.000000e+00 reference 27\n", - "50 650.683181 7.435897e-01 reference 5\n", - "51 653.333859 2.564103e-02 reference 21\n", - "52 659.929000 4.871795e-01 reference 13\n", - "53 665.230357 5.128205e-02 reference 28\n", - "54 667.849479 2.307692e-01 reference 2\n", - "55 671.730830 1.025641e-02 reference 17" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "model_neon.matched_peaks " - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "ec4496e4-74d9-4af3-a4d7-e0912a9a308f", - "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": "3.11.9" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} From 70f57745db67b00df07fbb9312eaa11774f3451b Mon Sep 17 00:00:00 2001 From: vedina Date: Sun, 3 Nov 2024 15:55:45 +0200 Subject: [PATCH 36/38] black formatting --- src/ramanchada2/misc/utils/matchsets.py | 139 +++++++++++----- .../calibration/calibration_component.py | 4 +- .../calibration/calibration_model.py | 19 ++- .../protocols/calibration/xcalibration.py | 152 +++++++++++------- tests/protocols/test_calibrationmodel.py | 82 +++++++--- 5 files changed, 264 insertions(+), 132 deletions(-) diff --git a/src/ramanchada2/misc/utils/matchsets.py b/src/ramanchada2/misc/utils/matchsets.py index 6ac587ad..5b680d5e 100644 --- a/src/ramanchada2/misc/utils/matchsets.py +++ b/src/ramanchada2/misc/utils/matchsets.py @@ -5,8 +5,12 @@ from typing import Dict, List -def match_peaks_cluster(spe_pos_dict: Dict[float, float], ref: Dict[float, float], - _filter_range=True, cost_intensity=0.25): +def match_peaks_cluster( + spe_pos_dict: Dict[float, float], + ref: Dict[float, float], + _filter_range=True, + cost_intensity=0.25, +): wl_label = "Wavelength" intensity_label = "Intensity" source_label = "Source" @@ -15,7 +19,10 @@ def match_peaks_cluster(spe_pos_dict: Dict[float, float], ref: Dict[float, float min_value = min(ref.values()) max_value = max(ref.values()) if len(ref.keys()) > 1: - normalized_ref = {key: (value - min_value) / (max_value - min_value) for key, value in ref.items()} + normalized_ref = { + key: (value - min_value) / (max_value - min_value) + for key, value in ref.items() + } else: normalized_ref = ref @@ -24,14 +31,17 @@ def match_peaks_cluster(spe_pos_dict: Dict[float, float], ref: Dict[float, float # Min-Max normalize the spe_pos_dict if len(spe_pos_dict.keys()) > 1: normalized_spe = { - key: (value - min_value_spe) / (max_value_spe - min_value_spe) for key, value in spe_pos_dict.items() - } + key: (value - min_value_spe) / (max_value_spe - min_value_spe) + for key, value in spe_pos_dict.items() + } else: normalized_spe = spe_pos_dict data_list = [ - {wl_label: key, intensity_label: value, source_label: 'spe'} for key, value in normalized_spe.items() + {wl_label: key, intensity_label: value, source_label: "spe"} + for key, value in normalized_spe.items() ] + [ - {wl_label: key, intensity_label: value, source_label: 'reference'} for key, value in normalized_ref.items() + {wl_label: key, intensity_label: value, source_label: "reference"} + for key, value in normalized_ref.items() ] # Create a DataFrame from the list of dictionaries @@ -43,8 +53,8 @@ def match_peaks_cluster(spe_pos_dict: Dict[float, float], ref: Dict[float, float left_limit = max(min(ref.keys()), min(spe_pos_dict.keys())) - _tollerance right_limit = min(max(ref.keys()), max(spe_pos_dict.keys())) + _tollerance df = df.loc[(df[wl_label] <= right_limit) & (df[wl_label] >= left_limit)] - n_spe = len(df[df[source_label] == 'spe']) - n_ref = len(df[df[source_label] == 'reference']) + n_spe = len(df[df[source_label] == "spe"]) + n_ref = len(df[df[source_label] == "reference"]) else: n_ref = len(ref.keys()) n_spe = len(spe_pos_dict.keys()) @@ -57,8 +67,8 @@ def match_peaks_cluster(spe_pos_dict: Dict[float, float], ref: Dict[float, float kmeans.fit(feature_matrix) labels = kmeans.labels_ # Extract cluster labels, x values, and y values - df['Cluster'] = labels - grouped = df.groupby('Cluster') + df["Cluster"] = labels + grouped = df.groupby("Cluster") x_spe = np.array([]) x_reference = np.array([]) x_distance = np.array([]) @@ -67,16 +77,20 @@ def match_peaks_cluster(spe_pos_dict: Dict[float, float], ref: Dict[float, float # Iterate through each group for cluster, group in grouped: # Get the unique sources within the group - unique_sources = group['Source'].unique() - if 'reference' in unique_sources and 'spe' in unique_sources: + unique_sources = group["Source"].unique() + if "reference" in unique_sources and "spe" in unique_sources: x = None r = None e_min = None for _, row_spe in group.loc[group[source_label] == "spe"].iterrows(): w_spe = row_spe[wl_label] - for _, row_ref in group.loc[group[source_label] == "reference"].iterrows(): + for _, row_ref in group.loc[ + group[source_label] == "reference" + ].iterrows(): w_ref = row_ref[wl_label] - e = (w_spe-w_ref)**2 + (row_spe[intensity_label]-row_ref[intensity_label])**2 + e = (w_spe - w_ref) ** 2 + ( + row_spe[intensity_label] - row_ref[intensity_label] + ) ** 2 if (e_min is None) or (e < e_min): x = w_spe r = w_ref @@ -87,22 +101,39 @@ def match_peaks_cluster(spe_pos_dict: Dict[float, float], ref: Dict[float, float x_distance = np.append(x_distance, e_min) clusters = np.append(clusters, cluster) sort_indices = np.argsort(x_spe) - return (x_spe[sort_indices], x_reference[sort_indices], x_distance[sort_indices], df) - - -def cost_function_position(p1: Dict[float, float], p2: Dict[float, float], order_weight=1.0, priority_weight=1.0): + return ( + x_spe[sort_indices], + x_reference[sort_indices], + x_distance[sort_indices], + df, + ) + + +def cost_function_position( + p1: Dict[float, float], + p2: Dict[float, float], + order_weight=1.0, + priority_weight=1.0, +): order_penalty = order_weight * abs(p1[0] - p2[0]) return order_penalty -def cost_function(p1: Dict[float, float], p2: Dict[float, float], order_weight=1.0, priority_weight=.1): +def cost_function( + p1: Dict[float, float], + p2: Dict[float, float], + order_weight=1.0, + priority_weight=0.1, +): """ Modified cost function with an order preservation penalty and priority weighting. - `order_weight` increases penalty for large differences in the x-axis values. - `priority_weight` decreases the cost for higher values in the y-axis for set_b points. """ order_penalty = order_weight * abs(p1[0] - p2[0]) - priority_bonus = priority_weight * p2[1] # Rewards points in set_b with higher second dimension values + priority_bonus = ( + priority_weight * p2[1] + ) # Rewards points in set_b with higher second dimension values return order_penalty - priority_bonus @@ -114,8 +145,12 @@ def normalize_tuples(tuples): return [(tuples[i][0], normalized_values[i]) for i in range(len(tuples))] -def cost_matrix_peaks(spectrum_a_dict: Dict[float, float], spectrum_b_dict: Dict[float, float], - threshold_max_distance=9, cost_func=None): +def cost_matrix_peaks( + spectrum_a_dict: Dict[float, float], + spectrum_b_dict: Dict[float, float], + threshold_max_distance=9, + cost_func=None, +): if cost_func is None: cost_func = cost_function_position peaks_a = np.array(list(spectrum_a_dict.keys())) @@ -135,20 +170,28 @@ def normalize_intensities(intensities): intensities_b_normalized = normalize_intensities(intensities_b) num_peaks_a = len(peaks_a) - cost_matrix = np.full((num_peaks_a, num_peaks_b), np.inf) # Initialize with infinity + cost_matrix = np.full( + (num_peaks_a, num_peaks_b), np.inf + ) # Initialize with infinity for i in range(num_peaks_a): for j in range(num_peaks_b): - cost = cost_func([peaks_a[i], intensities_a_normalized[i]], - [peaks_b[j], intensities_b_normalized[j]], - priority_weight=1 - ) + cost = cost_func( + [peaks_a[i], intensities_a_normalized[i]], + [peaks_b[j], intensities_b_normalized[j]], + priority_weight=1, + ) cost_matrix[i, j] = cost return cost_matrix -def match_peaks(spectrum_a_dict: Dict[float, float], spectrum_b_dict: Dict[float, float], - threshold_max_distance=9, df=False, cost_func=None): +def match_peaks( + spectrum_a_dict: Dict[float, float], + spectrum_b_dict: Dict[float, float], + threshold_max_distance=9, + df=False, + cost_func=None, +): """ Match peaks between two spectra based on their positions and intensities. @@ -184,10 +227,12 @@ def match_peaks(spectrum_a_dict: Dict[float, float], spectrum_b_dict: Dict[float >>> match_peaks(spectrum_a, spectrum_b) """ - cost_matrix = cost_matrix_peaks(spectrum_a_dict, spectrum_b_dict, - threshold_max_distance=threshold_max_distance, - cost_func=cost_function if cost_func is None else cost_func - ) + cost_matrix = cost_matrix_peaks( + spectrum_a_dict, + spectrum_b_dict, + threshold_max_distance=threshold_max_distance, + cost_func=cost_function if cost_func is None else cost_func, + ) # Use the Hungarian algorithm to find the optimal assignment try: @@ -213,7 +258,7 @@ def match_peaks(spectrum_a_dict: Dict[float, float], spectrum_b_dict: Dict[float last_matched_cost = np.inf for i in range(len(row_ind)): cost = cost_matrix[row_ind[i], col_ind[i]] - if abs(peaks_a[row_ind[i]]-peaks_b[col_ind[i]]) >= threshold_max_distance: + if abs(peaks_a[row_ind[i]] - peaks_b[col_ind[i]]) >= threshold_max_distance: continue if cost < np.inf: # Only consider valid pairs current_reference = peaks_b[col_ind[i]] @@ -245,13 +290,21 @@ def match_peaks(spectrum_a_dict: Dict[float, float], spectrum_b_dict: Dict[float # matched_distances = matched_distances[sorted_indices] if df: - df = pd.DataFrame({ - 'spe': matched_peaks_a, - 'reference': matched_peaks_b, - 'distances': matched_distances, - 'intensity_a': intensity_a, - 'intensity_b': intensity_b - }) + df = pd.DataFrame( + { + "spe": matched_peaks_a, + "reference": matched_peaks_b, + "distances": matched_distances, + "intensity_a": intensity_a, + "intensity_b": intensity_b, + } + ) else: df = None - return (matched_peaks_a_np, matched_peaks_b_np, matched_distances_np, cost_matrix, df) + return ( + matched_peaks_a_np, + matched_peaks_b_np, + matched_distances_np, + cost_matrix, + df, + ) diff --git a/src/ramanchada2/protocols/calibration/calibration_component.py b/src/ramanchada2/protocols/calibration/calibration_component.py index e10da1dc..f03368fe 100644 --- a/src/ramanchada2/protocols/calibration/calibration_component.py +++ b/src/ramanchada2/protocols/calibration/calibration_component.py @@ -76,7 +76,9 @@ def convert_units(self, old_spe, spe_unit="cm-1", newspe_unit="nm", laser_wl=Non def process(self, old_spe: Spectrum, spe_units="cm-1", convert_back=False): raise NotImplementedError(self) - def derive_model(self, find_kw=None, fit_peaks_kw=None, should_fit=False, name=None): + def derive_model( + self, find_kw=None, fit_peaks_kw=None, should_fit=False, name=None + ): raise NotImplementedError(self) def plot(self, ax=None, label=" ", **kwargs) -> Axes: diff --git a/src/ramanchada2/protocols/calibration/calibration_model.py b/src/ramanchada2/protocols/calibration/calibration_model.py index 9f1be71a..d7d820b5 100644 --- a/src/ramanchada2/protocols/calibration/calibration_model.py +++ b/src/ramanchada2/protocols/calibration/calibration_model.py @@ -103,7 +103,7 @@ def derive_model_x( should_fit=False, match_method: Literal["cluster", "armin2d", "assignment"] = "cluster", interpolator_method: Literal["rbf", "pchip", "cubic_spline"] = "rbf", - extrapolate=True + extrapolate=True, ): """ Derives x-calibration models using Neon and Silicon spectra. @@ -125,7 +125,7 @@ def derive_model_x( name="Neon calibration", match_method=match_method, interpolator_method=interpolator_method, - extrapolate=extrapolate + extrapolate=extrapolate, ) model_neon.nonmonotonic = self.nonmonotonic spe_sil_ne_calib = model_neon.process( @@ -157,7 +157,7 @@ def _derive_model_curve( name="X calibration", match_method: Literal["cluster", "armin2d", "assignment"] = "cluster", interpolator_method: Literal["rbf", "pchip", "cubic_spline"] = "rbf", - extrapolate=True + extrapolate=True, ): if find_kw is None: find_kw = {} @@ -172,7 +172,7 @@ def _derive_model_curve( ref_units=ref_units, match_method=match_method, interpolator_method=interpolator_method, - extrapolate=extrapolate + extrapolate=extrapolate, ) calibration_x.nonmonotonic = self.nonmonotonic calibration_x.derive_model( @@ -193,7 +193,7 @@ def derive_model_curve( name="X calibration", match_method: Literal["cluster", "armin2d", "assignment"] = "cluster", interpolator_method: Literal["rbf", "pchip", "cubic_spline"] = "rbf", - extrapolate=True + extrapolate=True, ): warnings.warn( message="Do not use directly. Use derive_model_x instead.", @@ -210,7 +210,7 @@ def derive_model_curve( name=name, match_method=match_method, interpolator_method=interpolator_method, - extrapolate=True + extrapolate=True, ) def _derive_model_zero( @@ -317,8 +317,7 @@ def calibration_model_factory( si_profile="Pearson4", match_method: Literal["cluster", "armin2d", "assignment"] = "cluster", interpolator_method: Literal["rbf", "pchip", "cubic_spline"] = "rbf", - extrapolate=True - + extrapolate=True, ): if neon_wl is None: neon_wl = rc2const.NEON_WL[laser_wl] @@ -341,7 +340,7 @@ def calibration_model_factory( name="Neon calibration", match_method=match_method, interpolator_method=interpolator_method, - extrapolate=extrapolate + extrapolate=extrapolate, ) spe_sil_ne_calib = model_neon.process( spe_sil, spe_units="cm-1", convert_back=False @@ -358,6 +357,6 @@ def calibration_model_factory( fit_peaks_kw=fit_peaks_kw, should_fit=True, name="Si calibration", - profile=si_profile + profile=si_profile, ) return calmodel diff --git a/src/ramanchada2/protocols/calibration/xcalibration.py b/src/ramanchada2/protocols/calibration/xcalibration.py index ec6aa7d4..819f29cc 100644 --- a/src/ramanchada2/protocols/calibration/xcalibration.py +++ b/src/ramanchada2/protocols/calibration/xcalibration.py @@ -18,13 +18,18 @@ class XCalibrationComponent(CalibrationComponent): - def __init__(self, laser_wl, spe: Spectrum, ref: Dict[float, float], - spe_units: Literal["cm-1", "nm"] = "cm-1", - ref_units: Literal["cm-1", "nm"] = "nm", sample="Neon", - match_method: Literal["cluster", "argmin2d", "assignment"] = "cluster", - interpolator_method: Literal["rbf", "pchip", "cubic_spline"] = "rbf", - extrapolate=True - ): + def __init__( + self, + laser_wl, + spe: Spectrum, + ref: Dict[float, float], + spe_units: Literal["cm-1", "nm"] = "cm-1", + ref_units: Literal["cm-1", "nm"] = "nm", + sample="Neon", + match_method: Literal["cluster", "argmin2d", "assignment"] = "cluster", + interpolator_method: Literal["rbf", "pchip", "cubic_spline"] = "rbf", + extrapolate=True, + ): super(XCalibrationComponent, self).__init__( laser_wl, spe, spe_units, ref, ref_units, sample ) @@ -41,7 +46,12 @@ def __init__(self, laser_wl, spe: Spectrum, ref: Dict[float, float], # calibration_x.model = rbf_intrpolator # return calibration_x - def process(self, old_spe: Spectrum, spe_units: Literal["cm-1", "nm"] = "cm-1", convert_back=False): + def process( + self, + old_spe: Spectrum, + spe_units: Literal["cm-1", "nm"] = "cm-1", + convert_back=False, + ): logger.debug( "convert spe_units {} --> model units {}".format( spe_units, self.model_units @@ -61,14 +71,20 @@ def process(self, old_spe: Spectrum, spe_units: Literal["cm-1", "nm"] = "cm-1", new_spe.x = self.model(new_spe.x.reshape(-1, 1)) if not self.extrapolate: min_train, max_train = self.model.y.min(), self.model.y.max() - out_of_bounds = (new_spe.x < min_train) | (new_spe.x > max_train) + out_of_bounds = (new_spe.x < min_train) | ( + new_spe.x > max_train + ) new_spe.x[out_of_bounds] = np.nan elif isinstance(self.model, CustomCubicSplineInterpolator): new_spe.x = self.model(new_spe.x) if not np.all(np.diff(new_spe.x) > 0): if self.nonmonotonic == "nan": - new_spe.x = np.where(np.diff(new_spe.x, prepend=new_spe.x[0]) < 0, np.nan, new_spe.x) + new_spe.x = np.where( + np.diff(new_spe.x, prepend=new_spe.x[0]) < 0, + np.nan, + new_spe.x, + ) elif self.nonmonotonic == "error": assert self.nonmonotonic else: @@ -122,7 +138,9 @@ def derive_model( ) ) peaks_df = self.fit_peaks(find_kw, fit_peaks_kw, should_fit) - x_spe, x_reference, x_distance, cost_matrix, df = self.match_peaks(threshold_max_distance=8, return_df=True) + x_spe, x_reference, x_distance, cost_matrix, df = self.match_peaks( + threshold_max_distance=8, return_df=True + ) self.cost_matrix = cost_matrix self.matched_peaks = df @@ -155,16 +173,16 @@ def derive_model( try: if self.interpolator_method == "pchip": # kwargs = {"kernel": "thin_plate_spline"} - interp = CustomPChipInterpolator( - x_spe, x_reference - ) + interp = CustomPChipInterpolator(x_spe, x_reference) elif self.interpolator_method == "cubic_spline": kwargs = {"bc_type": "clamped"} - interp = CustomPChipInterpolator( - x_spe, x_reference - ) + interp = CustomPChipInterpolator(x_spe, x_reference) elif self.interpolator_method == "rbf": - kwargs = {"kernel": "thin_plate_spline", "neighbors": len(x_spe)/3, "smoothing": 0} + kwargs = { + "kernel": "thin_plate_spline", + "neighbors": len(x_spe) / 3, + "smoothing": 0, + } interp = CustomRBFInterpolator( x_spe.reshape(-1, 1), x_reference, **kwargs ) @@ -176,14 +194,12 @@ def derive_model( def match_peaks(self, threshold_max_distance=9, return_df=False): if self.match_method == "cluster": x_spe, x_reference, x_distance, _ = match_peaks_cluster( - self.spe_pos_dict, self.ref - ) + self.spe_pos_dict, self.ref + ) cost_matrix = None - df = pd.DataFrame({ - 'spe': x_spe, - 'reference': x_reference, - 'distances': x_distance - }) + df = pd.DataFrame( + {"spe": x_spe, "reference": x_reference, "distances": x_distance} + ) return x_spe, x_reference, x_distance, cost_matrix, df elif self.match_method == "argmin2d": x = np.array(list(self.spe_pos_dict.keys())) @@ -191,18 +207,23 @@ def match_peaks(self, threshold_max_distance=9, return_df=False): x_idx, y_idx = find_closest_pairs_idx(x, y) x_spe = x[x_idx] x_reference = y[y_idx] - df = pd.DataFrame({ - 'spe': x_spe, - 'reference': x_reference, - 'distances': x_spe-x_reference - }) - return x_spe, x_reference, x_spe-x_reference, None, df + df = pd.DataFrame( + { + "spe": x_spe, + "reference": x_reference, + "distances": x_spe - x_reference, + } + ) + return x_spe, x_reference, x_spe - x_reference, None, df else: try: x_spe, x_reference, x_distance, cost_matrix, df = match_peaks( - self.spe_pos_dict, self.ref, threshold_max_distance=threshold_max_distance, df=return_df, - cost_func=self.cost_function - ) + self.spe_pos_dict, + self.ref, + threshold_max_distance=threshold_max_distance, + df=return_df, + cost_func=self.cost_function, + ) return x_spe, x_reference, x_distance, cost_matrix, df except Exception as err: raise err @@ -223,7 +244,7 @@ def fit_peaks(self, find_kw, fit_peaks_kw, should_fit): self.fit_res = spe_to_process.fit_peak_multimodel( profile="Gaussian", candidates=cand, **fit_peaks_kw, no_fit=not should_fit - ) + ) peaks_df = self.fitres2df(spe_to_process) # self.fit_res.to_dataframe_peaks() if should_fit: @@ -243,7 +264,7 @@ def __init__( ref=None, ref_units: Literal["cm-1", "nm"] = "cm-1", sample="Silicon", - profile="Pearson4" + profile="Pearson4", ): if ref is None: ref = {520.45: 1} @@ -276,11 +297,16 @@ def derive_model(self, find_kw=None, fit_peaks_kw=None, should_fit=True, name=No elif "center" in df.columns: zero_peak_nm = df.iloc[0]["center"] # https://www.elodiz.com/calibration-and-validation-of-raman-instruments/ - zero_peak_cm1 = self.zero_nm_to_shift_cm_1(zero_peak_nm, zero_peak_nm, list(self.ref.keys())[0]) + zero_peak_cm1 = self.zero_nm_to_shift_cm_1( + zero_peak_nm, zero_peak_nm, list(self.ref.keys())[0] + ) self.set_model( - zero_peak_nm, "nm", df, "Laser zeroing using {} nm {} cm-1 ({}) ". - format(zero_peak_nm, zero_peak_cm1, self.profile - ) + zero_peak_nm, + "nm", + df, + "Laser zeroing using {} nm {} cm-1 ({}) ".format( + zero_peak_nm, zero_peak_cm1, self.profile + ), ) logger.info(self.name, f"peak {self.profile} at {zero_peak_nm} nm") # laser_wl should be calculated based on the peak position and set instead of the nominal @@ -291,7 +317,12 @@ def zero_nm_to_shift_cm_1(self, wl, zero_pos_nm, zero_ref_cm_1=520.45): # we do not do shift (as initially implemented) # just convert the spectrum nm->cm-1 using the Si measured peak in nm and reference in cm-1 # https://www.elodiz.com/calibration-and-validation-of-raman-instruments/ - def process(self, old_spe: Spectrum, spe_units: Literal["cm-1", "nm"] = "nm", convert_back=False): + def process( + self, + old_spe: Spectrum, + spe_units: Literal["cm-1", "nm"] = "nm", + convert_back=False, + ): wl_si_ref = list(self.ref.keys())[0] logger.debug(self.name, "process", self.model, wl_si_ref) new_x = self.zero_nm_to_shift_cm_1(old_spe.x, self.model, wl_si_ref) @@ -347,22 +378,27 @@ def to_dict(self): } def plot(self, ax): - ax.scatter(self.y.reshape(-1), self.d.reshape(-1), marker="+", color="blue", label="Matched peaks") + ax.scatter( + self.y.reshape(-1), + self.d.reshape(-1), + marker="+", + color="blue", + label="Matched peaks", + ) x_range = np.linspace(self.y.min(), self.y.max(), 100) predicted_x = self(x_range.reshape(-1, 1)) - ax.plot(x_range, predicted_x, color="red", linestyle='-', label="Calibration curve") + ax.plot( + x_range, predicted_x, color="red", linestyle="-", label="Calibration curve" + ) ax.set_xlabel("Ne peaks, nm") ax.set_ylabel("Reference peaks, nm") - ax.grid(which='both', linestyle='--', linewidth=0.5, color='gray') + ax.grid(which="both", linestyle="--", linewidth=0.5, color="gray") ax.legend() def __str__(self): - return ( - f"Calibration curve {len(self.y)} points) {self.kernel}" - - ) + return f"Calibration curve {len(self.y)} points) {self.kernel}" class CustomPChipInterpolator(PchipInterpolator): @@ -392,13 +428,13 @@ def to_dict(self): def save_coefficients(self, filename): """Save the x and y coefficients to a JSON file.""" coeffs = self.to_dict() - with open(filename, 'w') as f: + with open(filename, "w") as f: json.dump(coeffs, f) @classmethod def load_coefficients(cls, filename): """Load the coefficients from a JSON file.""" - with open(filename, 'r') as f: + with open(filename, "r") as f: coeffs = json.load(f) return cls.from_dict(coeffs) @@ -409,10 +445,12 @@ def plot(self, ax): x_range = np.linspace(self.x.min(), self.x.max(), 100) predicted_y = self(x_range) - ax.plot(x_range, predicted_y, color="red", linestyle='-', label="Calibration curve") + ax.plot( + x_range, predicted_y, color="red", linestyle="-", label="Calibration curve" + ) ax.set_xlabel("Peaks, nm") ax.set_ylabel("Reference peaks, nm") - ax.grid(which='both', linestyle='--', linewidth=0.5, color='gray') + ax.grid(which="both", linestyle="--", linewidth=0.5, color="gray") ax.legend() def __str__(self): @@ -430,8 +468,8 @@ def from_dict(spline_dict=None): interpolator_loaded = CustomCubicSplineInterpolator( spline_dict["x"], spline_dict["y"], - bc_type=spline_dict.get("bc_type", 'clamped'), - extrapolate=spline_dict.get("extrapolate", True) + bc_type=spline_dict.get("bc_type", "clamped"), + extrapolate=spline_dict.get("extrapolate", True), ) return interpolator_loaded @@ -448,10 +486,12 @@ def plot(self, ax): x_range = np.linspace(self.x.min(), self.x.max(), 100) predicted_y = self(x_range) - ax.plot(x_range, predicted_y, color="red", linestyle='-', label="Cubic spline curve") + ax.plot( + x_range, predicted_y, color="red", linestyle="-", label="Cubic spline curve" + ) ax.set_xlabel("X values") ax.set_ylabel("Y values") - ax.grid(which='both', linestyle='--', linewidth=0.5, color='gray') + ax.grid(which="both", linestyle="--", linewidth=0.5, color="gray") ax.legend() def __str__(self): diff --git a/tests/protocols/test_calibrationmodel.py b/tests/protocols/test_calibrationmodel.py index 552ff393..92277c3d 100644 --- a/tests/protocols/test_calibrationmodel.py +++ b/tests/protocols/test_calibrationmodel.py @@ -31,27 +31,55 @@ def __init__(self): self.si_profile = "Pearson4" # self.si_profile = "Gaussian" self.spe_neon = from_test_spe( - sample=["Neon"], provider=[_provider], device=[_device], OP=[_optical_path], laser_wl=[_wl_str] + sample=["Neon"], + provider=[_provider], + device=[_device], + OP=[_optical_path], + laser_wl=[_wl_str], ) self.spe_pst2 = from_test_spe( - sample=["PST"], provider=[_provider], device=[_device], OP=[_optical_path], laser_wl=[_wl_str] + sample=["PST"], + provider=[_provider], + device=[_device], + OP=[_optical_path], + laser_wl=[_wl_str], ) self.spe_pst3 = from_test_spe( - sample=["PST"], provider=[_provider], device=[_device], OP=["020"], laser_wl=[_wl_str] + sample=["PST"], + provider=[_provider], + device=[_device], + OP=["020"], + laser_wl=[_wl_str], ) self.spe_sil = from_test_spe( - sample=["S0B"], provider=[_provider], device=[_device], OP=[_optical_path], laser_wl=[_wl_str] + sample=["S0B"], + provider=[_provider], + device=[_device], + OP=[_optical_path], + laser_wl=[_wl_str], ) self.spe_sil2 = from_test_spe( - sample=["S0B"], provider=[_provider], device=[_device], OP=[_optical_path], laser_wl=[_wl_str] + sample=["S0B"], + provider=[_provider], + device=[_device], + OP=[_optical_path], + laser_wl=[_wl_str], ) self.spe_nCal = from_test_spe( - sample=["nCAL"], provider=[_provider], device=[_device], OP=[_optical_path], laser_wl=[_wl_str] + sample=["nCAL"], + provider=[_provider], + device=[_device], + OP=[_optical_path], + laser_wl=[_wl_str], ) self.spe_SRM2241 = from_test_spe( - sample=["NIST785_SRM2241"], provider=[_provider], device=[_device], OP=[_optical_path], laser_wl=[_wl_str] + sample=["NIST785_SRM2241"], + provider=[_provider], + device=[_device], + OP=[_optical_path], + laser_wl=[_wl_str], ) # NIR785_EL0-9002 @@ -88,7 +116,7 @@ def __init__(self): fit_peaks_kw={}, should_fit=fit_peaks, match_method="cluster", - si_profile=self.si_profile + si_profile=self.si_profile, ) assert len(self.calmodel.components) == 2 # print(self.calmodel.components[0]) @@ -106,17 +134,17 @@ def setup_module(): def fit_si(spe_sil): - spe_sil = spe_sil.trim_axes( - method="x-axis", boundaries=(520.45 - 50, 520.45 + 50) - ) + spe_sil = spe_sil.trim_axes(method="x-axis", boundaries=(520.45 - 50, 520.45 + 50)) find_kw = {"wlen": 200, "width": 2, "sharpening": None} find_kw["prominence"] = spe_sil.y_noise_MAD() * 3 cand = spe_sil.find_peak_multipeak(**find_kw) - fitres = spe_sil.fit_peak_multimodel(profile="Pearson4", candidates=cand, no_fit=False, vary_baseline=False) + fitres = spe_sil.fit_peak_multimodel( + profile="Pearson4", candidates=cand, no_fit=False, vary_baseline=False + ) df = fitres.to_dataframe_peaks().sort_values(by="height", ascending=False) difference = abs(df.iloc[0]["center"] - si_peak) - assert difference < 1E-2, f"Si peak found at {df.iloc[0]['center']}" + assert difference < 1e-2, f"Si peak found at {df.iloc[0]['center']}" def test_laser_zeroing(setup_module): @@ -124,11 +152,17 @@ def test_laser_zeroing(setup_module): spe_sil_calib = setup_module.calmodel.apply_calibration_x( setup_module.spe_sil, spe_units="cm-1" ) - spe_test = spe_sil_calib # .trim_axes(method='x-axis',boundaries=(si_peak-50,si_peak+50)) + spe_test = ( + spe_sil_calib # .trim_axes(method='x-axis',boundaries=(si_peak-50,si_peak+50)) + ) find_kw = {"wlen": 200, "width": 1, "sharpening": None} - find_kw["prominence"] = spe_test.y_noise_MAD() * setup_module.calmodel.prominence_coeff + find_kw["prominence"] = ( + spe_test.y_noise_MAD() * setup_module.calmodel.prominence_coeff + ) cand = spe_test.find_peak_multipeak(**find_kw) - fitres = spe_test.fit_peak_multimodel(profile=setup_module.si_profile, candidates=cand, no_fit=False) + fitres = spe_test.fit_peak_multimodel( + profile=setup_module.si_profile, candidates=cand, no_fit=False + ) df = fitres.to_dataframe_peaks().sort_values(by="height", ascending=False) _units = setup_module.calmodel.components[1].model_units @@ -139,13 +173,13 @@ def test_laser_zeroing(setup_module): setup_module.spe_sil.plot(label="Si original", ax=ax) spe_sil_calib.plot(ax=ax, label="Si laser zeroed", fmt=":") plt.grid() - ax.set_xlim(si_peak-50, si_peak+50) + ax.set_xlim(si_peak - 50, si_peak + 50) if _units == "cm-1": _units = r"$\mathrm{{[cm^{-1}]}}$" ax.set_xlabel(_units) fitres.plot(ax=axpeak, label="fit res") spe_test.plot(ax=axpeak, label="Si laser zeroed", fmt=":") - axpeak.set_xlim(si_peak-50, si_peak+50) + axpeak.set_xlim(si_peak - 50, si_peak + 50) # let's look at the peak before laser zeroing ne_model = setup_module.calmodel.components[0] @@ -153,8 +187,10 @@ def test_laser_zeroing(setup_module): spe_test_necalibrated_only = ne_model.process(spe_test) si_model.fit_res.plot(ax=axsifit) si_peak_nm = si_model.model - axsifit.set_xlim(si_peak_nm-5, si_peak_nm+5) - spe_test_necalibrated_only.plot(ax=axsifit, label="Si (Ne calibrated only)", fmt=":") + axsifit.set_xlim(si_peak_nm - 5, si_peak_nm + 5) + spe_test_necalibrated_only.plot( + ax=axsifit, label="Si (Ne calibrated only)", fmt=":" + ) print(df.sort_values(by="amplitude", ascending=False).head()) plt.grid() @@ -162,7 +198,7 @@ def test_laser_zeroing(setup_module): plt.savefig("test_calmodel_{}.png".format("laser_zeroing")) difference = abs(df.iloc[0]["center"] - si_peak) - assert difference < 1E-2, f"Si peak found at {df.iloc[0]['center']}" + assert difference < 1e-2, f"Si peak found at {df.iloc[0]['center']}" def resample(spe, xmin, xmax, npoints): @@ -208,7 +244,9 @@ def compare_calibrated_spe(setup_module, spectra, name="calibration"): _units = "cm^{-1}" _units = rf"$\mathrm{{[{_units}]}}$" if _plots: - spe_norm.plot(ax=ax[index + 1], label=f"original {index}", color=crl[index][0]) + spe_norm.plot( + ax=ax[index + 1], label=f"original {index}", color=crl[index][0] + ) spe_c_norm.plot( ax=ax[index + 1], label=f"calibrated {index}", color=crl[index][1] ) From 87427aeb41b9942a2ec3db37f6e91c796d507468 Mon Sep 17 00:00:00 2001 From: vedina Date: Sun, 3 Nov 2024 16:15:33 +0200 Subject: [PATCH 37/38] indeed, this is now a folder --- tox.ini | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tox.ini b/tox.ini index 5733d9b6..16aaea55 100644 --- a/tox.ini +++ b/tox.ini @@ -49,7 +49,7 @@ commands = black \ scripts \ src/ramanchada2/auxiliary/spectra/datasets2/__init__.py \ - src/ramanchada2/protocols/calibration.py \ + src/ramanchada2/protocols/calibration/__init__.py \ src/ramanchada2/protocols/metadata_helper.py \ src/ramanchada2/protocols/spectraframe.py \ src/ramanchada2/protocols/twinning.py \ From ea77f307ac9e92b4b5d71251606656e53a7ad390 Mon Sep 17 00:00:00 2001 From: vedina Date: Sun, 3 Nov 2024 16:36:33 +0200 Subject: [PATCH 38/38] typo was not fixed everywhere --- .../protocols/calibration/calibration_model.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/src/ramanchada2/protocols/calibration/calibration_model.py b/src/ramanchada2/protocols/calibration/calibration_model.py index d7d820b5..8ef52e5f 100644 --- a/src/ramanchada2/protocols/calibration/calibration_model.py +++ b/src/ramanchada2/protocols/calibration/calibration_model.py @@ -101,7 +101,7 @@ def derive_model_x( find_kw={"wlen": 200, "width": 1}, fit_kw={}, should_fit=False, - match_method: Literal["cluster", "armin2d", "assignment"] = "cluster", + match_method: Literal["cluster", "argmin2d", "assignment"] = "cluster", interpolator_method: Literal["rbf", "pchip", "cubic_spline"] = "rbf", extrapolate=True, ): @@ -155,7 +155,7 @@ def _derive_model_curve( fit_peaks_kw=None, should_fit=False, name="X calibration", - match_method: Literal["cluster", "armin2d", "assignment"] = "cluster", + match_method: Literal["cluster", "argmin2d", "assignment"] = "cluster", interpolator_method: Literal["rbf", "pchip", "cubic_spline"] = "rbf", extrapolate=True, ): @@ -191,7 +191,7 @@ def derive_model_curve( fit_peaks_kw={}, should_fit=False, name="X calibration", - match_method: Literal["cluster", "armin2d", "assignment"] = "cluster", + match_method: Literal["cluster", "argmin2d", "assignment"] = "cluster", interpolator_method: Literal["rbf", "pchip", "cubic_spline"] = "rbf", extrapolate=True, ): @@ -315,7 +315,7 @@ def calibration_model_factory( should_fit=False, prominence_coeff=3, si_profile="Pearson4", - match_method: Literal["cluster", "armin2d", "assignment"] = "cluster", + match_method: Literal["cluster", "argmin2d", "assignment"] = "cluster", interpolator_method: Literal["rbf", "pchip", "cubic_spline"] = "rbf", extrapolate=True, ):