diff --git a/hippocampus_content_neurofeedback/mcoulter_arm_end_assemblies.py b/hippocampus_content_neurofeedback/mcoulter_arm_end_assemblies.py index bc7df1a..9c206e2 100644 --- a/hippocampus_content_neurofeedback/mcoulter_arm_end_assemblies.py +++ b/hippocampus_content_neurofeedback/mcoulter_arm_end_assemblies.py @@ -399,138 +399,144 @@ def fillmissingidxs(ind,n): #min_spikes = 100 try: - if len((ArmEndClusters & {'realtime_filename':key['realtime_filename']}).fetch('cluster_id')[0]) > 0: + cluster_count_in = len((ArmEndClusters & {'realtime_filename':key['realtime_filename']}).fetch('cluster_id')[0]) + except IndexError as e: + print('no arm clusters',key['nwb_file_name']) + cluster_count_in = 0 - print(key['nwb_file_name'],len((ArmEndClusters & {'realtime_filename':key['realtime_filename']}).fetch('cluster_id')[0])) - cluster_id_list = (ArmEndClusters & {'realtime_filename':key['realtime_filename']}).fetch('cluster_id')[0] - arm1_spikes = (ArmEndClusters & {'realtime_filename':key['realtime_filename']}).fetch('arm1_end_spikes')[0] - arm2_spikes = (ArmEndClusters & {'realtime_filename':key['realtime_filename']}).fetch('arm2_end_spikes')[0] + if cluster_count_in > 0: + + print(key['nwb_file_name'],len((ArmEndClusters & {'realtime_filename':key['realtime_filename']}).fetch('cluster_id')[0])) + cluster_id_list = (ArmEndClusters & {'realtime_filename':key['realtime_filename']}).fetch('cluster_id')[0] + arm1_spikes = (ArmEndClusters & {'realtime_filename':key['realtime_filename']}).fetch('arm1_end_spikes')[0] + arm2_spikes = (ArmEndClusters & {'realtime_filename':key['realtime_filename']}).fetch('arm2_end_spikes')[0] - assembly_dictionary[key['nwb_file_name']] = {} - assembly_dictionary[key['nwb_file_name']][key['interval_list_name']] = {} - - # specify dictionary - rat_name = key["nwb_file_name"].split("2")[0] - - # how to get realtime filename - not needed - if rat_name == 'ron': - dict_name = ron_all_dict - elif rat_name == 'tonks': - dict_name = tonks_all_dict - elif rat_name == 'arthur': - dict_name = arthur_all_dict - elif rat_name == 'molly': - dict_name = molly_all_dict - elif rat_name == 'ginny': - dict_name = ginny_all_dict - elif rat_name == 'pippin': - dict_name = pippin_all_dict - - target_arm = dict_name[key['nwb_file_name']] - - filtered_arm_end_clusters = [] - - # override this step to get all clusters - if all_clusters == 1: - cluster_id_list_new = cluster_id_list.copy() - # arm 1 - elif target_arm == 1: - cluster_id_list_new = cluster_id_list[arm1_spikes>30] - # arm 2 - elif target_arm == 2: - cluster_id_list_new = cluster_id_list[arm2_spikes>30] - print('clusters in:',cluster_id_list_new.shape[0]) - - reward_cluster_out_array = np.zeros((cluster_id_list_new.shape[0],2)) - for i in np.arange(cluster_id_list_new.shape[0]): - reward_cluster_out_array[i,0] = np.int(cluster_id_list_new[i].split('_')[0]) - reward_cluster_out_array[i,1] = np.int(cluster_id_list_new[i].split('_')[1]) - - # start and end for each sesssion - start_time = ( - IntervalList - & {"nwb_file_name": key["nwb_file_name"]} - & {"interval_list_name": key["interval_list_name"]} - ).fetch("valid_times")[0][0][0] - end_time = ( - IntervalList + assembly_dictionary[key['nwb_file_name']] = {} + assembly_dictionary[key['nwb_file_name']][key['interval_list_name']] = {} + + # specify dictionary + rat_name = key["nwb_file_name"].split("2")[0] + + # how to get realtime filename - not needed + if rat_name == 'ron': + dict_name = ron_all_dict + elif rat_name == 'tonks': + dict_name = tonks_all_dict + elif rat_name == 'arthur': + dict_name = arthur_all_dict + elif rat_name == 'molly': + dict_name = molly_all_dict + elif rat_name == 'ginny': + dict_name = ginny_all_dict + elif rat_name == 'pippin': + dict_name = pippin_all_dict + + target_arm = dict_name[key['nwb_file_name']] + + filtered_arm_end_clusters = [] + + # override this step to get all clusters + if all_clusters == 1: + cluster_id_list_new = cluster_id_list.copy() + # arm 1 + elif target_arm == 1: + cluster_id_list_new = cluster_id_list[arm1_spikes>30] + # arm 2 + elif target_arm == 2: + cluster_id_list_new = cluster_id_list[arm2_spikes>30] + print('clusters in:',cluster_id_list_new.shape[0]) + + reward_cluster_out_array = np.zeros((cluster_id_list_new.shape[0],2)) + for i in np.arange(cluster_id_list_new.shape[0]): + reward_cluster_out_array[i,0] = np.int(cluster_id_list_new[i].split('_')[0]) + reward_cluster_out_array[i,1] = np.int(cluster_id_list_new[i].split('_')[1]) + + # start and end for each sesssion + start_time = ( + IntervalList + & {"nwb_file_name": key["nwb_file_name"]} + & {"interval_list_name": key["interval_list_name"]} + ).fetch("valid_times")[0][0][0] + end_time = ( + IntervalList + & {"nwb_file_name": key["nwb_file_name"]} + & {"interval_list_name": key["interval_list_name"]} + ).fetch("valid_times")[0][0][1] + session_duration = end_time - start_time + print('duration, mins:',session_duration/60) + + # replace this based on looking up sort intervals from waveforms + sort_intervals = np.unique( + ( + Waveforms & {"nwb_file_name": key["nwb_file_name"]} - & {"interval_list_name": key["interval_list_name"]} - ).fetch("valid_times")[0][0][1] - session_duration = end_time - start_time - print('duration, mins:',session_duration/60) + & {"waveform_params_name": "default_whitened"} + & {'artifact_removed_interval_list_name LIKE "%100_prop%"'} + ).fetch("sort_interval_name") + ) + print("sort intervals", sort_intervals) + + pos_name = 'pos '+str(np.int(key['interval_list_name'].split('_')[0])-1)+' valid times' + + all_pos = np.unique( + ( + StatescriptReward & {"nwb_file_name": key["nwb_file_name"]} + ).fetch("interval_list_name") + ) + if pos_name == all_pos[0]: + sort_interval = sort_intervals[0] + elif pos_name == all_pos[1]: + sort_interval = sort_intervals[0] + elif pos_name == all_pos[2]: + sort_interval = sort_intervals[1] + + # define list for manually curated + tet_list_3 = np.unique((CuratedSpikeSorting & {"nwb_file_name": key["nwb_file_name"]} & + {"sort_interval_name": sort_interval} & {'curation_id':3}).fetch('sort_group_id')) + + # loop through all the clusters that have > 30 target spikes + for i in np.arange(reward_cluster_out_array.shape[0]): + # need to define cluster and tetrode based on this array + # need to figure out how to get sort_interval + tetrode = np.int(reward_cluster_out_array[i,0]) + cluster = np.int(reward_cluster_out_array[i,1]) - # replace this based on looking up sort intervals from waveforms - sort_intervals = np.unique( - ( - Waveforms - & {"nwb_file_name": key["nwb_file_name"]} - & {"waveform_params_name": "default_whitened"} - & {'artifact_removed_interval_list_name LIKE "%100_prop%"'} - ).fetch("sort_interval_name") - ) - print("sort intervals", sort_intervals) - - pos_name = 'pos '+str(np.int(key['interval_list_name'].split('_')[0])-1)+' valid times' - - all_pos = np.unique( - ( - StatescriptReward & {"nwb_file_name": key["nwb_file_name"]} - ).fetch("interval_list_name") - ) - if pos_name == all_pos[0]: - sort_interval = sort_intervals[0] - elif pos_name == all_pos[1]: - sort_interval = sort_intervals[0] - elif pos_name == all_pos[2]: - sort_interval = sort_intervals[1] - - # define list for manually curated - tet_list_3 = np.unique((CuratedSpikeSorting & {"nwb_file_name": key["nwb_file_name"]} & - {"sort_interval_name": sort_interval} & {'curation_id':3}).fetch('sort_group_id')) - - # loop through all the clusters that have > 30 target spikes - for i in np.arange(reward_cluster_out_array.shape[0]): - # need to define cluster and tetrode based on this array - # need to figure out how to get sort_interval - tetrode = np.int(reward_cluster_out_array[i,0]) - cluster = np.int(reward_cluster_out_array[i,1]) - - try: - if tetrode in tet_list_3: - curation_id = 3 - cluster_spike_times = ( - CuratedSpikeSorting - & {"nwb_file_name": key["nwb_file_name"]} - & {"sort_interval_name": sort_interval} - & {'artifact_removed_interval_list_name LIKE "%100_prop%"'} - & {"sorter": "mountainsort4"} - & {"curation_id": 3} - & {"sort_group_id": tetrode} - ).fetch_nwb()[0]["units"]["spike_times"][cluster] - else: - curation_id = 1 - cluster_spike_times = ( - CuratedSpikeSorting - & {"nwb_file_name": key["nwb_file_name"]} - & {"sort_interval_name": sort_interval} - & {'artifact_removed_interval_list_name LIKE "%100_prop%"'} - & {"sorter": "mountainsort4"} - & {"curation_id": 1} - & {"sort_group_id": tetrode} - ).fetch_nwb()[0]["units"]["spike_times"][cluster] - except KeyError as e: - print('cluster missing',key['nwb_file_name']) - cluster_spike_times = np.array([0,0,0]) - - session_spikes = cluster_spike_times[ - (cluster_spike_times > start_time) - & (cluster_spike_times < end_time) - ] - - whole_firing_rate = (session_spikes.shape[0] / session_duration) + try: + if tetrode in tet_list_3: + curation_id = 3 + cluster_spike_times = ( + CuratedSpikeSorting + & {"nwb_file_name": key["nwb_file_name"]} + & {"sort_interval_name": sort_interval} + & {'artifact_removed_interval_list_name LIKE "%100_prop%"'} + & {"sorter": "mountainsort4"} + & {"curation_id": 3} + & {"sort_group_id": tetrode} + ).fetch_nwb()[0]["units"]["spike_times"][cluster] + else: + curation_id = 1 + cluster_spike_times = ( + CuratedSpikeSorting + & {"nwb_file_name": key["nwb_file_name"]} + & {"sort_interval_name": sort_interval} + & {'artifact_removed_interval_list_name LIKE "%100_prop%"'} + & {"sorter": "mountainsort4"} + & {"curation_id": 1} + & {"sort_group_id": tetrode} + ).fetch_nwb()[0]["units"]["spike_times"][cluster] + except (KeyError, IndexError) as e: + print('noise cluster',key['nwb_file_name'],tetrode,cluster) + cluster_spike_times = np.array([0,0,0]) + + session_spikes = cluster_spike_times[ + (cluster_spike_times > start_time) + & (cluster_spike_times < end_time) + ] + + whole_firing_rate = (session_spikes.shape[0] / session_duration) - # remove MUA units + # remove MUA units + try: cluster_label = ( CuratedSpikeSorting.Unit & {"nwb_file_name": key["nwb_file_name"]} @@ -551,92 +557,92 @@ def fillmissingidxs(ind,n): # add cluster to list for assembly analysis filtered_arm_end_clusters.append([tetrode,cluster]) #print(whole_firing_rate, session_spikes.shape[0],session_duration/60) - - print('clusters out',len(filtered_arm_end_clusters)) - - # new assembly dictionary - #assembly_dictionary = {} - # this will use the 2nd half of the first pair to get the middle session - - spike_only_dict = {} - cluster_counter = 0 - unit_counter = 0 - - for item in filtered_arm_end_clusters: - #print('reward cluster',item[0],item[1]) - #reward_cluster_out_list.append([np.int(item[0].split('_')[1]), - # np.int(item[0].split('_')[2])]) - #print('reward spikes',item[1][6]) - #spike_only_dict[cluster_counter] = item[1][6] - #print('spike count',len(spike_only_dict[cluster_counter])) - cluster_counter += 1 - if np.int(item[0]) < 10 and np.int(item[1]) < 10: - column_name = str('000')+str(item[0])+'_'+str('000')+str(item[1]) - elif np.int(item[0]) < 10: - column_name = str('000')+str(item[0])+'_'+str('00')+str(item[1]) - elif np.int(item[1]) < 10: - column_name = str('00')+str(item[0])+'_'+str('000')+str(item[1]) - else: - column_name = str('00')+str(item[0])+'_'+str('00')+str(item[1]) - #column_name_list.append(column_name) - - #print(column_name) - - try: - if item[0] in tet_list_3: - #print('manually curated tetrode at indicator') - tet_units = np.array((SortedSpikesIndicator & {'nwb_file_name' : key['nwb_file_name']} & - {'sort_interval_name':sort_interval} & {'curation_id':3} & - {'interval_list_name':pos_name} & {'sort_group_id':item[0]} & - {'artifact_removed_interval_list_name LIKE "%ampl_100_%"'}).fetch_dataframe()[column_name]) - else: - tet_units = np.array((SortedSpikesIndicator & {'nwb_file_name' : key['nwb_file_name']} & - {'sort_interval_name':sort_interval} & {'curation_id':1} & - {'interval_list_name':pos_name} & {'sort_group_id':item[0]} & - {'artifact_removed_interval_list_name LIKE "%ampl_100_%"'}).fetch_dataframe()[column_name]) - #print(tet_units.shape) - if unit_counter > 0: - all_units = np.vstack((all_units, tet_units)) - elif unit_counter == 0: - all_units = tet_units.copy() - unit_counter += 1 - except ValueError as e: - print('no sorted spikes',item) - - if len(all_units) > 0: - try: - # find assemblies - code is below - # sum into 10 msec bins - #sum_bins = 5 - max_index = (all_units.shape[1]//sum_bins)*sum_bins - all_units = all_units[:,:max_index] - binned_10ms = all_units[:,:].reshape(-1, np.int((all_units.shape[1])/sum_bins), sum_bins).sum(axis=2) - print('number units',binned_10ms.shape) - - #nshu = 1000 # defines number of controls to run - #percentile = 99.5 # defines percentile for significance threshold - - #extractPatterns(all_units,0.01,'pca') - #patterns,significance,zactmat = runPatterns(binned_10ms,nullhyp='mp') - # with circular shuffle - for strong auto-correlations - patterns,significance,zactmat = runPatterns(binned_10ms,nullhyp='circ',nshu=nshu,percentile=percentile) - - assemblyAct = computeAssemblyActivity(patterns,zactmat) - # note that the zactmat could be from another session (like a sleep session for "replay" analysis) - - print('significant assemblies',assemblyAct[:,:].T.shape[1]) - - # save to dictionary - assembly_dictionary[key['nwb_file_name']][key['interval_list_name']] = (filtered_arm_end_clusters,patterns,assemblyAct) - - except (IndexError, ValueError) as e: - print('index error on max_index, or no spikes in binned') + except IndexError as e: + print('noise cluster',tetrode,cluster) + + print('clusters out',len(filtered_arm_end_clusters)) + + # new assembly dictionary + #assembly_dictionary = {} + # this will use the 2nd half of the first pair to get the middle session + + spike_only_dict = {} + cluster_counter = 0 + unit_counter = 0 + + for item in filtered_arm_end_clusters: + #print('reward cluster',item[0],item[1]) + #reward_cluster_out_list.append([np.int(item[0].split('_')[1]), + # np.int(item[0].split('_')[2])]) + #print('reward spikes',item[1][6]) + #spike_only_dict[cluster_counter] = item[1][6] + #print('spike count',len(spike_only_dict[cluster_counter])) + cluster_counter += 1 + if np.int(item[0]) < 10 and np.int(item[1]) < 10: + column_name = str('000')+str(item[0])+'_'+str('000')+str(item[1]) + elif np.int(item[0]) < 10: + column_name = str('000')+str(item[0])+'_'+str('00')+str(item[1]) + elif np.int(item[1]) < 10: + column_name = str('00')+str(item[0])+'_'+str('000')+str(item[1]) else: - print('no spikes') - except IndexError as e: - print('no ArmEndCluster data') - assembly_dictionary = [0,0,0] - filtered_arm_end_clusters = [0,0,0] + column_name = str('00')+str(item[0])+'_'+str('00')+str(item[1]) + #column_name_list.append(column_name) + + #print(column_name) + + try: + if item[0] in tet_list_3: + #print('manually curated tetrode at indicator') + tet_units = np.array((SortedSpikesIndicator & {'nwb_file_name' : key['nwb_file_name']} & + {'sort_interval_name':sort_interval} & {'curation_id':3} & + {'interval_list_name':pos_name} & {'sort_group_id':item[0]} & + {'artifact_removed_interval_list_name LIKE "%ampl_100_%"'}).fetch_dataframe()[column_name]) + else: + tet_units = np.array((SortedSpikesIndicator & {'nwb_file_name' : key['nwb_file_name']} & + {'sort_interval_name':sort_interval} & {'curation_id':1} & + {'interval_list_name':pos_name} & {'sort_group_id':item[0]} & + {'artifact_removed_interval_list_name LIKE "%ampl_100_%"'}).fetch_dataframe()[column_name]) + #print(tet_units.shape) + if unit_counter > 0: + all_units = np.vstack((all_units, tet_units)) + elif unit_counter == 0: + all_units = tet_units.copy() + unit_counter += 1 + except ValueError as e: + print('no sorted spikes',item) + + if len(all_units) > 0: + try: + # find assemblies - code is below + # sum into 10 msec bins + #sum_bins = 5 + max_index = (all_units.shape[1]//sum_bins)*sum_bins + all_units = all_units[:,:max_index] + binned_10ms = all_units[:,:].reshape(-1, np.int((all_units.shape[1])/sum_bins), sum_bins).sum(axis=2) + print('number units',binned_10ms.shape) + + #nshu = 1000 # defines number of controls to run + #percentile = 99.5 # defines percentile for significance threshold + + #extractPatterns(all_units,0.01,'pca') + #patterns,significance,zactmat = runPatterns(binned_10ms,nullhyp='mp') + # with circular shuffle - for strong auto-correlations + patterns,significance,zactmat = runPatterns(binned_10ms,nullhyp='circ',nshu=nshu,percentile=percentile) + + assemblyAct = computeAssemblyActivity(patterns,zactmat) + # note that the zactmat could be from another session (like a sleep session for "replay" analysis) + + print('significant assemblies',assemblyAct[:,:].T.shape[1]) + + # save to dictionary + assembly_dictionary[key['nwb_file_name']][key['interval_list_name']] = (filtered_arm_end_clusters,patterns,assemblyAct) + + except (IndexError, ValueError) as e: + print('index error on max_index, or no spikes in binned') + else: + print('no spikes') + else: + print('no cluster data',key['nwb_file_name'],[key['interval_list_name']]) key["assembly_dictionary"] = assembly_dictionary key["input_cluster_count"] = len(filtered_arm_end_clusters) diff --git a/hippocampus_content_neurofeedback/mcoulter_arm_end_clusters.py b/hippocampus_content_neurofeedback/mcoulter_arm_end_clusters.py index c103f5e..8a8a2f7 100644 --- a/hippocampus_content_neurofeedback/mcoulter_arm_end_clusters.py +++ b/hippocampus_content_neurofeedback/mcoulter_arm_end_clusters.py @@ -188,20 +188,28 @@ def find_nearest_1(array, value): # exception for molly 3-24 try: - if ( - key["nwb_file_name"] == "molly20220324_.nwb" - and key["interval_list_name"] == realtime_interval_list[1] - ): - pos_name = pos_interval_list[1] - - elif key["interval_list_name"] == realtime_interval_list[0]: - pos_name = pos_interval_list[0] + if key["interval_list_name"] == realtime_interval_list[0]: + if key["nwb_file_name"] == "molly20220324_.nwb": + pos_name = 'pos 1 valid times' + else: + pos_name = pos_interval_list[0] elif key["interval_list_name"] == realtime_interval_list[1]: - pos_name = pos_interval_list[1] + if key["nwb_file_name"] == "molly20220324_.nwb": + pos_name = 'pos 3 valid times' + else: + pos_name = pos_interval_list[1] elif key["interval_list_name"] == realtime_interval_list[2]: - pos_name = pos_interval_list[2] + if key["nwb_file_name"] == "molly20220324_.nwb": + pos_name = 'pos 6 valid times' + else: + pos_name = pos_interval_list[2] print(key["nwb_file_name"], pos_name, key["interval_list_name"]) + pos_name_good = 1 + except IndexError as e: + print('missing pos name. skip',key["nwb_file_name"] ) + pos_name_good = 0 + if pos_name_good == 1: # load real-time recording file os.environ["HDF5_USE_FILE_LOCKING"] = "FALSE" hdf_file = path_add + key["realtime_filename"] @@ -570,21 +578,31 @@ def find_nearest_1(array, value): tet_counter = 0 for tetrode in tet_list: # need sortedspikesindicator - try: - if tetrode in tet_list_3: - print('manually curated tetrode') + if tetrode in tet_list_3: + print('manually curated tetrode') + try: sorted_spikes_table = (SortedSpikesIndicator & {'nwb_file_name' : key["nwb_file_name"]} & {'artifact_removed_interval_list_name LIKE "%100_prop%"'} & {'sort_interval_name': sort_interval} & {'interval_list_name':pos_name} & {'curation_id':3} & {'sort_group_id':tetrode}).fetch_dataframe() - else: + spike_table_good = 1 + except ValueError as e: + print('missing tet. other sort interval',tetrode) + spike_table_good = 0 + else: + try: sorted_spikes_table = (SortedSpikesIndicator & {'nwb_file_name' : key["nwb_file_name"]} & {'artifact_removed_interval_list_name LIKE "%100_prop%"'} & {'sort_interval_name': sort_interval} & {'interval_list_name':pos_name} & {'curation_id':1} & {'sort_group_id':tetrode}).fetch_dataframe() - + spike_table_good = 1 + except ValueError as e: + print('missing tet. other sort interval',tetrode) + spike_table_good = 0 + + if spike_table_good == 1: spike_timestamps = sorted_spikes_table.index # note: based on code above, timebin from realtime system is start of 6ms timebin @@ -666,20 +684,17 @@ def find_nearest_1(array, value): # plt.scatter(target_arm_end_df['start'],np.repeat(1,target_arm_end_df.shape[0])) # plt.scatter(ripples_df['start'],np.repeat(2,ripples_df.shape[0])) - except ValueError as e: - print('no spikes on tetrode',tetrode) - + #except ValueError as e: + # print('no spikes on tetrode',tetrode) + print('arm 2',arm2_all_tet_spike_count) print('arm 1',arm1_all_tet_spike_count) - except IndexError as e: - print('no statescript entry') - - print(key['nwb_file_name'],arm1_all_tet_spike_count,arm2_all_tet_spike_count,all_tet_cluster_ids) + print(key['nwb_file_name'],arm1_all_tet_spike_count,arm2_all_tet_spike_count,all_tet_cluster_ids) - key["arm1_end_spikes"] = arm1_all_tet_spike_count - key["arm2_end_spikes"] = arm2_all_tet_spike_count - key["cluster_id"] = all_tet_cluster_ids + key["arm1_end_spikes"] = arm1_all_tet_spike_count + key["arm2_end_spikes"] = arm2_all_tet_spike_count + key["cluster_id"] = all_tet_cluster_ids - self.insert1(key) + self.insert1(key) diff --git a/hippocampus_content_neurofeedback/mcoulter_realtime_lfp_posterior_sum.py b/hippocampus_content_neurofeedback/mcoulter_realtime_lfp_posterior_sum.py index 4b4370d..2fa9162 100644 --- a/hippocampus_content_neurofeedback/mcoulter_realtime_lfp_posterior_sum.py +++ b/hippocampus_content_neurofeedback/mcoulter_realtime_lfp_posterior_sum.py @@ -210,11 +210,26 @@ def remove_intersection(list1, list2): post_thresh = lfp_posterior_sum_parameters["arm_posterior_fraction"] well_distance_max = lfp_posterior_sum_parameters["well_distance_max"] + parameter_name = ( + LFPPosteriorSumParameters + & { + "lfp_posterior_sum_param_name": key[ + "lfp_posterior_sum_param_name" + ] + } + ).fetch()[0][0] + + print('parameter name',parameter_name) + # add new parameters # smoothing: yes/no # time overlap with ripples - smoothing_on = lfp_posterior_sum_parameters['smoothing'] - ripple_prox = lfp_posterior_sum_parameters['rip_prox'] + #smoothing_on = lfp_posterior_sum_parameters['smoothing'] + #ripple_prox = lfp_posterior_sum_parameters['rip_prox'] + + # for regular LFPPosteriorSum - no smoothing + smoothing_on = 0 + ripple_prox = 0 arm1_end_overlap = [] arm2_end_overlap = [] @@ -233,6 +248,7 @@ def remove_intersection(list1, list2): rip_zscore_arm1 = [] rip_zscore_arm2 = [] rip_zscore_reward = [] + rip_zscore_random = [] theta_phase_arm1 = [] theta_power_arm1 = [] theta_phase_arm2 = [] @@ -280,18 +296,29 @@ def remove_intersection(list1, list2): print(realtime_interval_list) # exception for molly 3-24 - if ( - key["nwb_file_name"] == "molly20220324_.nwb" - and key["interval_list_name"] == realtime_interval_list[1] - ): - pos_name = pos_interval_list[1] - + if key["nwb_file_name"] == "pippin20210523_.nwb" and key["interval_list_name"] == '04_r2': + pos_name = 'pos 3 valid times' + elif key["nwb_file_name"] == "pippin20210523_.nwb" and key["interval_list_name"] == '06_r3': + pos_name = 'pos 5 valid times' + elif key["nwb_file_name"] == "pippin20210524_.nwb" and key["interval_list_name"] == '04_r2': + pos_name = 'pos 3 valid times' + elif key["nwb_file_name"] == "pippin20210524_.nwb" and key["interval_list_name"] == '06_r3': + pos_name = 'pos 5 valid times' elif key["interval_list_name"] == realtime_interval_list[0]: - pos_name = pos_interval_list[0] + if key["nwb_file_name"] == "molly20220324_.nwb": + pos_name = 'pos 1 valid times' + else: + pos_name = pos_interval_list[0] elif key["interval_list_name"] == realtime_interval_list[1]: - pos_name = pos_interval_list[1] + if key["nwb_file_name"] == "molly20220324_.nwb": + pos_name = 'pos 3 valid times' + else: + pos_name = pos_interval_list[1] elif key["interval_list_name"] == realtime_interval_list[2]: - pos_name = pos_interval_list[2] + if key["nwb_file_name"] == "molly20220324_.nwb": + pos_name = 'pos 6 valid times' + else: + pos_name = pos_interval_list[2] print(key["nwb_file_name"], pos_name, key["interval_list_name"]) # load real-time recording file @@ -444,35 +471,39 @@ def remove_intersection(list1, list2): & (decoder_data_center_well["taskState"] == 2) ] - # add binary column for smoothed arm ends, then get intervals - task2_decode_center['group_arm1'] = (task2_decode_center['arm1_end_smooth'] != - task2_decode_center['arm1_end_smooth'].shift()).cumsum() - arm1_intervals = (task2_decode_center[task2_decode_center['arm1_end_smooth'] == 1]. - groupby('group_arm1').apply(lambda x: (x.index[0], x.index[-1])).tolist()) - task2_decode_center['group_arm2'] = (task2_decode_center['arm2_end_smooth'] != - task2_decode_center['arm2_end_smooth'].shift()).cumsum() - arm2_intervals = (task2_decode_center[task2_decode_center['arm2_end_smooth'] == 1]. - groupby('group_arm2').apply(lambda x: (x.index[0], x.index[-1])).tolist()) - print('arm1 end intervals',len(arm1_intervals),'arm2 end intervals',len(arm2_intervals)) - # get timestamp for center bin - arm1_interval_mid_list = [] - arm2_interval_mid_list = [] - for event in arm1_intervals: - try: - midpoint_event = (event[1] - round((event[1]-event[0])/2)) - mid_timestamp = task2_decode_center.loc[[midpoint_event]]['bin_timestamp'].values[0] - arm1_interval_mid_list.append(mid_timestamp) - except KeyError as e: - print('event did not match') - for event in arm2_intervals: - try: - midpoint_event = (event[1] - round((event[1]-event[0])/2)) - mid_timestamp = task2_decode_center.loc[[midpoint_event]]['bin_timestamp'].values[0] - arm2_interval_mid_list.append(mid_timestamp) - except KeyError as e: - print('event did not match') - arm1_smooth_midpoint = np.array(arm1_interval_mid_list) - arm2_smooth_midpoint = np.array(arm2_interval_mid_list) + #print('task 2 decode center',task2_decode_center) + + if smoothing_on == 1: + print('arm intervals for smoothed arm ends') + # add binary column for smoothed arm ends, then get intervals + task2_decode_center['group_arm1'] = (task2_decode_center['arm1_end_smooth'] != + task2_decode_center['arm1_end_smooth'].shift()).cumsum() + arm1_intervals = (task2_decode_center[task2_decode_center['arm1_end_smooth'] == 1]. + groupby('group_arm1').apply(lambda x: (x.index[0], x.index[-1])).tolist()) + task2_decode_center['group_arm2'] = (task2_decode_center['arm2_end_smooth'] != + task2_decode_center['arm2_end_smooth'].shift()).cumsum() + arm2_intervals = (task2_decode_center[task2_decode_center['arm2_end_smooth'] == 1]. + groupby('group_arm2').apply(lambda x: (x.index[0], x.index[-1])).tolist()) + print('arm1 end intervals',len(arm1_intervals),'arm2 end intervals',len(arm2_intervals)) + # get timestamp for center bin + arm1_interval_mid_list = [] + arm2_interval_mid_list = [] + for event in arm1_intervals: + try: + midpoint_event = (event[1] - round((event[1]-event[0])/2)) + mid_timestamp = task2_decode_center.loc[[midpoint_event]]['bin_timestamp'].values[0] + arm1_interval_mid_list.append(mid_timestamp) + except KeyError as e: + print('event did not match') + for event in arm2_intervals: + try: + midpoint_event = (event[1] - round((event[1]-event[0])/2)) + mid_timestamp = task2_decode_center.loc[[midpoint_event]]['bin_timestamp'].values[0] + arm2_interval_mid_list.append(mid_timestamp) + except KeyError as e: + print('event did not match') + arm1_smooth_midpoint = np.array(arm1_interval_mid_list) + arm2_smooth_midpoint = np.array(arm2_interval_mid_list) # task2_head_dir = pd.merge_asof( # task2_decode_center, @@ -628,14 +659,17 @@ def remove_intersection(list1, list2): key_2["position_info_param_name"] = "default_decoding" # use this info to find sort_interval - set first for pos_name 0,1 and second for 2 - sort_intervals = np.unique( - ( - Waveforms - & {"nwb_file_name": key["nwb_file_name"]} - & {"waveform_params_name": "default_whitened"} - & {'artifact_removed_interval_list_name LIKE "%100_prop%"'} - ).fetch("sort_interval_name") - ) + if key['nwb_file_name'] == 'arthur20220314_.nwb': + sort_intervals = ['r1_r2','r2_r3'] + else: + sort_intervals = np.unique( + ( + Waveforms + & {"nwb_file_name": key["nwb_file_name"]} + & {"waveform_params_name": "default_whitened"} + & {'artifact_removed_interval_list_name LIKE "%100_prop%"'} + ).fetch("sort_interval_name") + ) print("sort intervals", sort_intervals) all_pos = np.unique( @@ -643,7 +677,22 @@ def remove_intersection(list1, list2): StatescriptReward & {"nwb_file_name": key["nwb_file_name"]} ).fetch("interval_list_name") ) - if pos_name == all_pos[0]: + if key["nwb_file_name"] == "pippin20210523_.nwb" and pos_name == 'pos 3 valid times': + sort_interval = sort_intervals[0] + elif key["nwb_file_name"] == "pippin20210523_.nwb" and pos_name == 'pos 5 valid times': + sort_interval = sort_intervals[1] + elif key["nwb_file_name"] == "pippin20210524_.nwb" and pos_name == 'pos 3 valid times': + sort_interval = sort_intervals[0] + elif key["nwb_file_name"] == "pippin20210524_.nwb" and pos_name == 'pos 5 valid times': + sort_interval = sort_intervals[1] + elif key["nwb_file_name"] == "molly20220324_.nwb" and pos_name == 'pos 1 valid times': + sort_interval = sort_intervals[0] + elif key["nwb_file_name"] == "molly20220324_.nwb" and pos_name == 'pos 3 valid times': + sort_interval = sort_intervals[0] + elif key["nwb_file_name"] == "molly20220324_.nwb" and pos_name == 'pos 6 valid times': + sort_interval = sort_intervals[1] + + elif pos_name == all_pos[0]: sort_interval = sort_intervals[0] elif pos_name == all_pos[1]: sort_interval = sort_intervals[0] @@ -843,7 +892,7 @@ def remove_intersection(list1, list2): # ) elif rat_name == "molly": ref_elec_list = [64, 193] - target_interval_name = ( + target_interval_name_1 = ( key["nwb_file_name"] + "_" + sort_interval @@ -852,7 +901,7 @@ def remove_intersection(list1, list2): elif rat_name == "ginny": ref_elec_list = [112, 149] - target_interval_name = ( + target_interval_name_1 = ( key["nwb_file_name"] + "_" + sort_interval @@ -871,12 +920,20 @@ def remove_intersection(list1, list2): elif rat_name == "arthur": ref_elec_list = [88, 161] - target_interval_name = ( + target_interval_name_1 = ( key["nwb_file_name"] + "_" + sort_interval - + "_LFP_difference_600_frac_80_1000_frac_80_10ms_80_new_2_artifact_removed_valid_times" + #+ "_LFP_difference_600_frac_80_1000_frac_80_10ms_80_new_2_artifact_removed_valid_times" + + "_LFP_difference_600_frac_80_1000_frac_80_10ms_80_new_2_no_ref" ) + target_interval_name_2 = ( + key["nwb_file_name"] + + "_" + + sort_interval + + "_LFP_difference_600_frac_80_1000_frac_80_10ms_80_new_2_artifact_removed_valid_times" + #+ "_LFP_difference_600_frac_80_1000_frac_80_10ms_80_new_2_no_ref" + ) elif rat_name == "pippin": ref_elec_list = [120, 242] target_interval_name = ( @@ -886,18 +943,33 @@ def remove_intersection(list1, list2): + "_LFP_difference_600_frac_80_1000_frac_80_10ms_80_new_2_no_ref_artifact_removed_valid_times" ) - theta_phase_df = ( - LFPBandV1() - & {"nwb_file_name": key["nwb_file_name"]} - & {"filter_name": "Theta 5-11 Hz"} - & {"target_interval_list_name": target_interval_name} - ).compute_signal_phase(ref_elec_list) - theta_power_df = ( - LFPBandV1() - & {"nwb_file_name": key["nwb_file_name"]} - & {"filter_name": "Theta 5-11 Hz"} - & {"target_interval_list_name": target_interval_name} - ).compute_signal_power(ref_elec_list) + try: + theta_phase_df = ( + LFPBandV1() + & {"nwb_file_name": key["nwb_file_name"]} + & {"filter_name": "Theta 5-11 Hz"} + & {"target_interval_list_name": target_interval_name_1} + ).compute_signal_phase(ref_elec_list) + theta_power_df = ( + LFPBandV1() + & {"nwb_file_name": key["nwb_file_name"]} + & {"filter_name": "Theta 5-11 Hz"} + & {"target_interval_list_name": target_interval_name_1} + ).compute_signal_power(ref_elec_list) + except IndexError as e: + theta_phase_df = ( + LFPBandV1() + & {"nwb_file_name": key["nwb_file_name"]} + & {"filter_name": "Theta 5-11 Hz"} + & {"target_interval_list_name": target_interval_name_2} + ).compute_signal_phase(ref_elec_list) + theta_power_df = ( + LFPBandV1() + & {"nwb_file_name": key["nwb_file_name"]} + & {"filter_name": "Theta 5-11 Hz"} + & {"target_interval_list_name": target_interval_name_2} + ).compute_signal_power(ref_elec_list) + # need to specify eletrode to smooth smooth_electrode = "electrode " + str(ref_elec_list[1]) # try making power a little less smooth - was 500, now 200 @@ -928,9 +1000,7 @@ def remove_intersection(list1, list2): speed, interval_ripple_lfps, sampling_frequency, - ) = sgrip.RippleTimesV1.get_ripple_lfps_and_position_info( - key_3, key["nwb_file_name"], pos_name - ) + ) = sgrip.RippleTimesV1.get_ripple_lfps_and_position_info(key_3) lfp_timestamps = np.asarray(interval_ripple_lfps.index) consensus_trace = get_Kay_ripple_consensus_trace( @@ -1145,58 +1215,59 @@ def remove_intersection(list1, list2): else: process_timebins = arm1_end_timebins.copy() - for time in process_timebins: - adjusted_timestamp = time / 30000 + offset - # print(adjusted_timestamp[0]) - new_time = find_nearest( - spyglass_position_df.index, adjusted_timestamp - ) - new_speed = spyglass_position_df.loc[[new_time]][ - "speed_smooth" - ].values[0] - all_speeds_arm1.append(new_speed) - - # NOTE: should only use if this is a close match - rip_time, placeholder, min_diff = find_nearest_1( - lfp_timestamps, adjusted_timestamp - ) - if min_diff < 0.02: - rip_zscore_arm1.append( - consensus_trace_zscore[ - np.where(lfp_timestamps == rip_time)[0][0] - ] + if parameter_name != 'random_control': + for time in process_timebins: + adjusted_timestamp = time / 30000 + offset + # print(adjusted_timestamp[0]) + new_time = find_nearest( + spyglass_position_df.index, adjusted_timestamp ) - - # now they dont match if theta is missing - need to skip these - # if np.isin(rip_time,theta_power_df.index): - try: - theta_power_arm1.append( - theta_power_df.loc[[rip_time]][ - "smooth_power" - ].values[0] - ) - theta_phase_arm1.append( - theta_phase_df.loc[[rip_time]][ - smooth_electrode - ].values[0] - ) - theta_power_zscore_arm1.append( - theta_power_df.loc[[rip_time]][ - "zscore_power" - ].values[0] + new_speed = spyglass_position_df.loc[[new_time]][ + "speed_smooth" + ].values[0] + all_speeds_arm1.append(new_speed) + + # NOTE: should only use if this is a close match + rip_time, placeholder, min_diff = find_nearest_1( + lfp_timestamps, adjusted_timestamp + ) + if min_diff < 0.02: + rip_zscore_arm1.append( + consensus_trace_zscore[ + np.where(lfp_timestamps == rip_time)[0][0] + ] ) - except KeyError as e: - pass + + # now they dont match if theta is missing - need to skip these + # if np.isin(rip_time,theta_power_df.index): + try: + theta_power_arm1.append( + theta_power_df.loc[[rip_time]][ + "smooth_power" + ].values[0] + ) + theta_phase_arm1.append( + theta_phase_df.loc[[rip_time]][ + smooth_electrode + ].values[0] + ) + theta_power_zscore_arm1.append( + theta_power_df.loc[[rip_time]][ + "zscore_power" + ].values[0] + ) + except KeyError as e: + pass + else: + theta_phase_arm1_speeds.append(new_speed) else: - theta_phase_arm1_speeds.append(new_speed) - else: - print(rip_time, min_diff) + print(rip_time, min_diff) - print( - "done with arm 1", - arm1_end_timebins.shape, - len(theta_phase_arm1), - ) + print( + "done with arm 1", + arm1_end_timebins.shape, + len(theta_phase_arm1), + ) # add condtional for smoothed decode if smoothing_on == 1: @@ -1204,55 +1275,56 @@ def remove_intersection(list1, list2): else: process_timebins = arm2_end_timebins.copy() - for time in process_timebins: - adjusted_timestamp = time / 30000 + offset - # print(adjusted_timestamp[0]) - new_time = find_nearest( - spyglass_position_df.index, adjusted_timestamp - ) - new_speed = spyglass_position_df.loc[[new_time]][ - "speed_smooth" - ].values[0] - all_speeds_arm2.append(new_speed) + if parameter_name != 'random_control': + for time in process_timebins: + adjusted_timestamp = time / 30000 + offset + # print(adjusted_timestamp[0]) + new_time = find_nearest( + spyglass_position_df.index, adjusted_timestamp + ) + new_speed = spyglass_position_df.loc[[new_time]][ + "speed_smooth" + ].values[0] + all_speeds_arm2.append(new_speed) - rip_time, placeholder, min_diff = find_nearest_1( - lfp_timestamps, adjusted_timestamp - ) - if min_diff < 0.02: - # rip_time = find_nearest(lfp_timestamps,adjusted_timestamp) - rip_zscore_arm2.append( - consensus_trace_zscore[ - np.where(lfp_timestamps == rip_time)[0][0] - ] + rip_time, placeholder, min_diff = find_nearest_1( + lfp_timestamps, adjusted_timestamp ) - try: - theta_power_arm2.append( - theta_power_df.loc[[rip_time]][ - "smooth_power" - ].values[0] - ) - theta_phase_arm2.append( - theta_phase_df.loc[[rip_time]][ - smooth_electrode - ].values[0] + if min_diff < 0.02: + # rip_time = find_nearest(lfp_timestamps,adjusted_timestamp) + rip_zscore_arm2.append( + consensus_trace_zscore[ + np.where(lfp_timestamps == rip_time)[0][0] + ] ) - theta_power_zscore_arm2.append( - theta_power_df.loc[[rip_time]][ - "zscore_power" - ].values[0] - ) - except KeyError as e: - pass + try: + theta_power_arm2.append( + theta_power_df.loc[[rip_time]][ + "smooth_power" + ].values[0] + ) + theta_phase_arm2.append( + theta_phase_df.loc[[rip_time]][ + smooth_electrode + ].values[0] + ) + theta_power_zscore_arm2.append( + theta_power_df.loc[[rip_time]][ + "zscore_power" + ].values[0] + ) + except KeyError as e: + pass + else: + theta_phase_arm2_speeds.append(new_speed) else: - theta_phase_arm2_speeds.append(new_speed) - else: - print(rip_time, min_diff) + print(rip_time, min_diff) - print( - "arm 2 timebins - theta", - arm2_end_timebins.shape, - len(theta_phase_arm2), - ) + print( + "arm 2 timebins - theta", + arm2_end_timebins.shape, + len(theta_phase_arm2), + ) for time in target_timebins: adjusted_timestamp = time / 30000 + offset @@ -1318,6 +1390,11 @@ def remove_intersection(list1, list2): # rip_zscore_reward.append(consensus_trace_zscore[np.where(lfp_timestamps==rip_time)[0][0]]) # theta_power_reward.append(theta_power_df.loc[[rip_time]]['smooth_power'].values[0]) try: + rip_zscore_random.append( + consensus_trace_zscore[ + np.where(lfp_timestamps == rip_time)[0][0] + ] + ) theta_power_center.append( theta_power_df.loc[[rip_time]][ "smooth_power" @@ -1397,7 +1474,11 @@ def remove_intersection(list1, list2): key["all_overlap_arm1"] = all_overlap_arm1 key["all_overlap_arm1"] = all_overlap_arm2 key["all_overlap_reward"] = all_overlap_reward - key["rip_zscore_arm1"] = rip_zscore_arm1 + if parameter_name != 'random_control': + key["rip_zscore_arm1"] = rip_zscore_arm1 + else: + key["rip_zscore_arm1"] = rip_zscore_random + key["rip_zscore_arm2"] = rip_zscore_arm2 key["rip_zscore_reward"] = rip_zscore_reward key["theta_power_arm1"] = theta_power_arm1 diff --git a/hippocampus_content_neurofeedback/mcoulter_realtime_lfp_spectogram.py b/hippocampus_content_neurofeedback/mcoulter_realtime_lfp_spectogram.py index c9d6ce4..25e98a0 100644 --- a/hippocampus_content_neurofeedback/mcoulter_realtime_lfp_spectogram.py +++ b/hippocampus_content_neurofeedback/mcoulter_realtime_lfp_spectogram.py @@ -122,6 +122,91 @@ class LFPSpectogram(dj.Computed): def make(self, key): print(f"getting LFP times for: {key}") + def find_intervals_exceeding_threshold(arr, x): + # Create a binary mask where values exceed the threshold + binary_array = arr > x + + # Find start and end of contiguous True segments + def find_intervals(binary_array): + intervals = [] + start = None + + for i, value in enumerate(binary_array): + if value and start is None: + start = i + elif not value and start is not None: + intervals.append((start, i - 1)) + start = None + + if start is not None: + intervals.append((start, len(binary_array) - 1)) + + return intervals + + # Get the intervals + intervals = find_intervals(binary_array) + + # Return intervals with their corresponding values + result = [] + for start_idx, end_idx in intervals: + span_values = arr[start_idx:end_idx + 1] + span_indices = np.arange(start_idx, end_idx + 1) + result.append({ + "indices": span_indices, + "values": span_values + }) + + return result + + def _intersection(interval1, interval2): + """Takes the (set-theoretic) intersection of two intervals""" + start = max(interval1[0], interval2[0]) + end = min(interval1[1], interval2[1]) + # i think this needs to change for pandas interval + #start = max(interval2[0], interval1.left) + #end = min(interval2[1], interval1.right) + intersection = np.array([start, end]) if end > start else None + #return intersection + if intersection is not None: + overlap = interval2.copy() + else: + overlap = None + + return overlap + + def interval_list_intersect_1(interval_list1, interval_list2, min_length=0): + # then do pairwise comparison and collect intersections + overlap = [ + _intersection(interval2, interval1) + for interval2 in interval_list2 + for interval1 in interval_list1 + if _intersection(interval2, interval1) is not None + ] + + return overlap + + def group_intervals(arr, max_diff): + # List to store the intervals + intervals = [] + # Start and end index of the current interval + start = 0 + # Iterate through the array to form intervals + for i in range(1, len(arr)): + if abs(arr[i] - arr[i - 1]) >= max_diff: + # If the difference between adjacent values is >= max_diff, + # close the current interval and start a new one + intervals.append({ + 'indices': np.arange(start, i), + 'values': arr[start:i] + }) + start = i + # Append the last interval + intervals.append({ + 'indices': np.arange(start, len(arr)), + 'values': arr[start:] + }) + return intervals + def find_nearest(array, value): array = np.asarray(array) idx = (np.abs(array - value)).argmin() @@ -173,6 +258,59 @@ def remove_intersection(list1, list2): ) return non_intersecting_list1, non_intersecting_list2 + # target dict for all days + ron_all_dict = {'ron20210811_.nwb':2,'ron20210812_.nwb':2, + 'ron20210813_.nwb':1,'ron20210814_.nwb':1, + 'ron20210816_.nwb':2,'ron20210817_.nwb':2,'ron20210818_.nwb':2, + 'ron20210819_.nwb':1,'ron20210820_.nwb':1,'ron20210821_.nwb':1, + 'ron20210822_.nwb':2,'ron20210823_.nwb':2,'ron20210824_.nwb':2, + 'ron20210825_.nwb':1,'ron20210826_.nwb':1,'ron20210827_.nwb':1, + 'ron20210828_.nwb':2,'ron20210829_.nwb':2,'ron20210830_.nwb':2, + 'ron20210831_.nwb':1,'ron20210901_.nwb':1,'ron20210902_.nwb':1} + + tonks_all_dict = {'tonks20211023_.nwb': 1,'tonks20211024_.nwb': 1, + 'tonks20211025_.nwb': 2,'tonks20211026_.nwb': 2, + 'tonks20211027_.nwb': 1,'tonks20211028_.nwb': 1,'tonks20211029_.nwb': 1, + 'tonks20211030_.nwb': 2,'tonks20211031_.nwb': 2,'tonks20211101_.nwb': 2, + 'tonks20211102_.nwb': 1,'tonks20211103_.nwb': 1,'tonks20211104_.nwb': 1, + 'tonks20211105_.nwb': 2,'tonks20211106_.nwb': 2,'tonks20211107_.nwb': 2, + 'tonks20211108_.nwb': 1,'tonks20211109_.nwb': 1,'tonks20211110_.nwb': 1, + 'tonks20211111_.nwb': 2,'tonks20211112_.nwb': 2,} + + ginny_all_dict = {'ginny20211023_.nwb': 1,'ginny20211024_.nwb': 1, + 'ginny20211025_.nwb': 2,'ginny20211026_.nwb': 2, + 'ginny20211027_.nwb': 1,'ginny20211028_.nwb': 1,'ginny20211029_.nwb': 1, + 'ginny20211030_.nwb': 2,'ginny20211031_.nwb': 2,'ginny20211101_.nwb': 2, + 'ginny20211102_.nwb': 1,'ginny20211103_.nwb': 1,'ginny20211104_.nwb': 1, + 'ginny20211105_.nwb': 2,'ginny20211106_.nwb': 2,'ginny20211107_.nwb': 2, + 'ginny20211108_.nwb': 1,'ginny20211109_.nwb': 1,'ginny20211110_.nwb': 1, + 'ginny20211111_.nwb': 2,'ginny20211112_.nwb': 2,'ginny20211113_.nwb': 2,} + + molly_all_dict = {'molly20220314_.nwb': 1,'molly20220315_.nwb': 1, + 'molly20220316_.nwb': 2,'molly20220317_.nwb': 2, + 'molly20220318_.nwb': 1,'molly20220319_.nwb': 1,'molly20220320_.nwb': 1, + 'molly20220321_.nwb': 2,'molly20220322_.nwb': 2,'molly20220323_.nwb': 2, + 'molly20220324_.nwb': 1,'molly20220325_.nwb': 1,'molly20220326_.nwb': 1, + 'molly20220327_.nwb': 2,'molly20220328_.nwb': 2,'molly20220329_.nwb': 2, + 'molly20220330_.nwb': 1,'molly20220331_.nwb': 1,'molly20220401_.nwb': 1, + 'molly20220402_.nwb': 2,'molly20220403_.nwb': 2,'molly20220404_.nwb': 2,} + + arthur_all_dict = {'arthur20220314_.nwb': 1,'arthur20220315_.nwb': 1, + 'arthur20220316_.nwb': 2,'arthur20220317_.nwb': 2, + 'arthur20220318_.nwb': 1,'arthur20220319_.nwb': 1,'arthur20220320_.nwb': 1, + 'arthur20220321_.nwb': 2,'arthur20220322_.nwb': 2,'arthur20220323_.nwb': 2, + 'arthur20220324_.nwb': 1,'arthur20220325_.nwb': 1,'arthur20220326_.nwb': 1, + 'arthur20220327_.nwb': 2,'arthur20220328_.nwb': 2,'arthur20220329_.nwb': 2, + 'arthur20220330_.nwb': 1,'arthur20220331_.nwb': 1,'arthur20220401_.nwb': 1, + 'arthur20220402_.nwb': 2,'arthur20220403_.nwb': 2,'arthur20220404_.nwb': 2,} + + pippin_all_dict = {'pippin20210518_.nwb':1,'pippin20210519_.nwb':1, + 'pippin20210520_.nwb':2,'pippin20210521_.nwb':2, + 'pippin20210523_.nwb':1,'pippin20210524_.nwb':1,'pippin20210525_.nwb':1, + 'pippin20210526_.nwb':2,'pippin20210527_.nwb':2,'pippin20210528_.nwb':2} + + + # StateScriptFile: get the time slice for taskState1 # this should all come from the key # nwb_file_name = 'ginny20211101_.nwb' @@ -199,6 +337,8 @@ def remove_intersection(list1, list2): min_reward_count = lfp_posterior_sum_parameters['min_reward_count'] speed_thresh = lfp_posterior_sum_parameters['speed_thresh'] + print('smoothing:',smoothing_on) + # set up variables arm1_end_timebins = np.zeros((1,)) arm2_end_timebins = np.zeros((1,)) @@ -215,22 +355,30 @@ def remove_intersection(list1, list2): random_times_mvt = [] random_times_rip = [] random_times_still = [] + unique_rip_arm1 = [] + unique_rip_arm2 = [] rat_name = key["nwb_file_name"].split("2")[0] # how to get realtime filename - not needed if rat_name == 'ron': path_add = "/cumulus/mcoulter/george/realtime_rec_merged/" + target_arm = ron_all_dict[key['nwb_file_name']] elif rat_name == 'tonks': path_add = "/cumulus/mcoulter/tonks/realtime_merged/" + target_arm = tonks_all_dict[key['nwb_file_name']] elif rat_name == 'arthur': path_add = "/cumulus/mcoulter/molly/realtime_rec_merged/" + target_arm = arthur_all_dict[key['nwb_file_name']] elif rat_name == 'molly': path_add = "/cumulus/mcoulter/molly/realtime_rec_merged/" + target_arm = molly_all_dict[key['nwb_file_name']] elif rat_name == 'ginny': path_add = "/cumulus/mcoulter/tonks/realtime_merged/" + target_arm = ginny_all_dict[key['nwb_file_name']] elif rat_name == 'pippin': path_add = "/cumulus/mcoulter/pippin/realtime_rec_merged_end_all/" + target_arm = pippin_all_dict[key['nwb_file_name']] #path_add = lfp_posterior_sum_parameters["file_directory"] @@ -244,18 +392,29 @@ def remove_intersection(list1, list2): print(realtime_interval_list) # exception for molly 3-24 - if ( - key["nwb_file_name"] == "molly20220324_.nwb" - and key["interval_list_name"] == realtime_interval_list[1] - ): - pos_name = pos_interval_list[1] - + if key["nwb_file_name"] == "pippin20210523_.nwb" and key["interval_list_name"] == '04_r2': + pos_name = 'pos 3 valid times' + elif key["nwb_file_name"] == "pippin20210523_.nwb" and key["interval_list_name"] == '06_r3': + pos_name = 'pos 5 valid times' + elif key["nwb_file_name"] == "pippin20210524_.nwb" and key["interval_list_name"] == '04_r2': + pos_name = 'pos 3 valid times' + elif key["nwb_file_name"] == "pippin20210524_.nwb" and key["interval_list_name"] == '06_r3': + pos_name = 'pos 5 valid times' elif key["interval_list_name"] == realtime_interval_list[0]: - pos_name = pos_interval_list[0] + if key["nwb_file_name"] == "molly20220324_.nwb": + pos_name = 'pos 1 valid times' + else: + pos_name = pos_interval_list[0] elif key["interval_list_name"] == realtime_interval_list[1]: - pos_name = pos_interval_list[1] + if key["nwb_file_name"] == "molly20220324_.nwb": + pos_name = 'pos 3 valid times' + else: + pos_name = pos_interval_list[1] elif key["interval_list_name"] == realtime_interval_list[2]: - pos_name = pos_interval_list[2] + if key["nwb_file_name"] == "molly20220324_.nwb": + pos_name = 'pos 6 valid times' + else: + pos_name = pos_interval_list[2] print(key["nwb_file_name"], pos_name, key["interval_list_name"]) # load real-time recording file @@ -303,6 +462,16 @@ def remove_intersection(list1, list2): ) print("rewards", stim_message_diff_reward_2.shape) + + rip_times_shuf_list = [] + still_times_shuf_list = [] + mvt_times_shuf_list = [] + target_ripple = [] + target_non_rip = [] + target_mvt = [] + target_still = [] + target_rip_remove = [] + # only high reward sessions if stim_message_diff_reward_2.shape[0] > min_reward_count: @@ -315,6 +484,8 @@ def remove_intersection(list1, list2): decoder_data_center_well = decoder_data.copy() + decoder_timestamps = decoder_data['bin_timestamp'].values + # gaussian smooth posterior and then add column for arm1_end_smooth and arm2_end_smooth # much more smoothing: try 20 with 0.2 gauss = pd.DataFrame(ndimage.gaussian_filter1d(decoder_data_center_well.iloc[:,27:68], 10, 0)) @@ -408,35 +579,39 @@ def remove_intersection(list1, list2): & (decoder_data_center_well["taskState"] == 2) ] - # add binary column for smoothed arm ends, then get intervals - task2_decode_center['group_arm1'] = (task2_decode_center['arm1_end_smooth'] != - task2_decode_center['arm1_end_smooth'].shift()).cumsum() - arm1_intervals = (task2_decode_center[task2_decode_center['arm1_end_smooth'] == 1]. - groupby('group_arm1').apply(lambda x: (x.index[0], x.index[-1])).tolist()) - task2_decode_center['group_arm2'] = (task2_decode_center['arm2_end_smooth'] != - task2_decode_center['arm2_end_smooth'].shift()).cumsum() - arm2_intervals = (task2_decode_center[task2_decode_center['arm2_end_smooth'] == 1]. - groupby('group_arm2').apply(lambda x: (x.index[0], x.index[-1])).tolist()) - print('arm1 end intervals',len(arm1_intervals),'arm2 end intervals',len(arm2_intervals)) - # get timestamp for center bin - arm1_interval_mid_list = [] - arm2_interval_mid_list = [] - for event in arm1_intervals: - try: - midpoint_event = (event[1] - round((event[1]-event[0])/2)) - mid_timestamp = task2_decode_center.loc[[midpoint_event]]['bin_timestamp'].values[0] - arm1_interval_mid_list.append(mid_timestamp) - except KeyError as e: - print('event did not match') - for event in arm2_intervals: - try: - midpoint_event = (event[1] - round((event[1]-event[0])/2)) - mid_timestamp = task2_decode_center.loc[[midpoint_event]]['bin_timestamp'].values[0] - arm2_interval_mid_list.append(mid_timestamp) - except KeyError as e: - print('event did not match') - arm1_smooth_midpoint = np.array(arm1_interval_mid_list) - arm2_smooth_midpoint = np.array(arm2_interval_mid_list) + if smoothing_on == 1: + # add binary column for smoothed arm ends, then get intervals + task2_decode_center['group_arm1'] = (task2_decode_center['arm1_end_smooth'] != + task2_decode_center['arm1_end_smooth'].shift()).cumsum() + arm1_intervals = (task2_decode_center[task2_decode_center['arm1_end_smooth'] == 1]. + groupby('group_arm1').apply(lambda x: (x.index[0], x.index[-1])).tolist()) + task2_decode_center['group_arm2'] = (task2_decode_center['arm2_end_smooth'] != + task2_decode_center['arm2_end_smooth'].shift()).cumsum() + arm2_intervals = (task2_decode_center[task2_decode_center['arm2_end_smooth'] == 1]. + groupby('group_arm2').apply(lambda x: (x.index[0], x.index[-1])).tolist()) + print('arm1 end intervals',len(arm1_intervals),'arm2 end intervals',len(arm2_intervals)) + # get timestamp for center bin + arm1_interval_mid_list = [] + arm2_interval_mid_list = [] + for event in arm1_intervals: + try: + midpoint_event = (event[1] - round((event[1]-event[0])/2)) + mid_timestamp = task2_decode_center.loc[[midpoint_event]]['bin_timestamp'].values[0] + arm1_interval_mid_list.append(mid_timestamp) + except KeyError as e: + print('event did not match') + for event in arm2_intervals: + try: + midpoint_event = (event[1] - round((event[1]-event[0])/2)) + mid_timestamp = task2_decode_center.loc[[midpoint_event]]['bin_timestamp'].values[0] + arm2_interval_mid_list.append(mid_timestamp) + except KeyError as e: + print('event did not match') + arm1_smooth_midpoint = np.array(arm1_interval_mid_list) + arm2_smooth_midpoint = np.array(arm2_interval_mid_list) + else: + arm1_smooth_midpoint = [] + arm2_smooth_midpoint = [] # task2_head_dir = pd.merge_asof( # task2_decode_center, @@ -564,10 +739,16 @@ def remove_intersection(list1, list2): # center_well_timebins_sub.shape, #) - # 1000 random bins from task2 - task2_all = decoder_data_center_well[decoder_data_center_well['taskState']==2] - center_well_timebins = task2_all["bin_timestamp"].values - center_well_timebins_sub = np.random.choice(center_well_timebins, 5000) + if key["lfp_spect_param_name"] == 'speed_4_random': + center_well_timebins = task2_decode_center['bin_timestamp'].values + center_well_timebins_sub = np.random.choice(center_well_timebins, average_arm_end_bins) + else: + # 1000 random bins from task2 + task2_all = decoder_data_center_well[decoder_data_center_well['taskState']==2] + center_well_timebins = task2_all["bin_timestamp"].values + center_well_timebins_sub = np.random.choice(center_well_timebins, 5000) + + # should update this to use task2_decode_center and take a number of samples that is the average of arm 1 + 2 # want to use new time boundaries to look for overlap with arm end bins # do this below and just assume each arm end bin is 6msec long @@ -590,14 +771,17 @@ def remove_intersection(list1, list2): key_2["position_info_param_name"] = "default_decoding" # use this info to find sort_interval - set first for pos_name 0,1 and second for 2 - sort_intervals = np.unique( - ( - Waveforms - & {"nwb_file_name": key["nwb_file_name"]} - & {"waveform_params_name": "default_whitened"} - & {'artifact_removed_interval_list_name LIKE "%100_prop%"'} - ).fetch("sort_interval_name") - ) + if key["nwb_file_name"] == 'arthur20220314_.nwb': + sort_intervals = ['r1_r2','r2_r3'] + else: + sort_intervals = np.unique( + ( + Waveforms + & {"nwb_file_name": key["nwb_file_name"]} + & {"waveform_params_name": "default_whitened"} + & {'artifact_removed_interval_list_name LIKE "%100_prop%"'} + ).fetch("sort_interval_name") + ) print("sort intervals", sort_intervals) all_pos = np.unique( @@ -605,7 +789,15 @@ def remove_intersection(list1, list2): StatescriptReward & {"nwb_file_name": key["nwb_file_name"]} ).fetch("interval_list_name") ) - if pos_name == all_pos[0]: + if key["nwb_file_name"] == "pippin20210523_.nwb" and pos_name == 'pos 3 valid times': + sort_interval = sort_intervals[0] + elif key["nwb_file_name"] == "pippin20210523_.nwb" and pos_name == 'pos 5 valid times': + sort_interval = sort_intervals[1] + elif key["nwb_file_name"] == "pippin20210524_.nwb" and pos_name == 'pos 3 valid times': + sort_interval = sort_intervals[0] + elif key["nwb_file_name"] == "pippin20210524_.nwb" and pos_name == 'pos 5 valid times': + sort_interval = sort_intervals[1] + elif pos_name == all_pos[0]: sort_interval = sort_intervals[0] elif pos_name == all_pos[1]: sort_interval = sort_intervals[0] @@ -792,19 +984,17 @@ def remove_intersection(list1, list2): speed, interval_ripple_lfps, sampling_frequency, - ) = sgrip.RippleTimesV1.get_ripple_lfps_and_position_info( - key_3, key["nwb_file_name"], pos_name - ) + ) = sgrip.RippleTimesV1.get_ripple_lfps_and_position_info(key_3) lfp_timestamps = np.asarray(interval_ripple_lfps.index) - #consensus_trace = get_Kay_ripple_consensus_trace( - # np.asarray(interval_ripple_lfps), - # sampling_frequency, - # smoothing_sigma=0.004, - #) - #consensus_trace_zscore = zscore( - # consensus_trace, nan_policy="omit" - #) + consensus_trace = get_Kay_ripple_consensus_trace( + np.asarray(interval_ripple_lfps), + sampling_frequency, + smoothing_sigma=0.004, + ) + consensus_trace_zscore = zscore( + consensus_trace, nan_policy="omit" + ) # need to make a loop here for task2_center, with ripple, without ripples # want to figure out which timebins overlap with ripples @@ -820,105 +1010,340 @@ def remove_intersection(list1, list2): for overlap_comp in ['rips_only']: # for overlap_comp in ['rips_only','rips_center',]: # print('LOOP',overlap_comp) - for location in [1, 2, 4]: - if location == 1: - if smoothing_on == 1: - target_timebins = arm1_smooth_midpoint.copy() - else: - target_timebins = arm1_end_timebins.copy() - elif location == 2: - if smoothing_on == 1: - target_timebins = arm2_smooth_midpoint.copy() - else: - target_timebins = arm2_end_timebins.copy() - elif location == 3: - target_timebins = stim_message_diff_reward_2[ - "bin_timestamp" - ].values - elif location == 4: - target_timebins = center_well_timebins_sub.copy() - - if location == 3: - a = target_timebins - 4 * 180 - b = target_timebins + 180 - - else: - if overlap_comp == "rips_only": - a = target_timebins - b = target_timebins + 180 - # if smoothing - if smoothing_on == 1: - a = target_timebins - ripple_prox - b = target_timebins + ripple_prox - else: - # print('rips center') - # central 1 sec: 75 - 105 - a = target_timebins + 75 - b = target_timebins + 105 - - if overlap_comp == "rips_only": - c = ripple_times["adjusted_start"] - d = ripple_times["adjusted_end"] - elif overlap_comp == "rips_center": - # print('rips center C and D') - c = center_ripple_df["adjusted_start"] - d = center_ripple_df["adjusted_end"] - elif overlap_comp == "no_rips_center": - c = center_non_ripple_df["adjusted_start"] - d = center_non_ripple_df["adjusted_end"] - - target_arm_end_df = pd.DataFrame( - { - "start": a, - "end": b, - } - ) - ripples_merge_df = pd.DataFrame( - { - "start": c, - "end": d, - } - ) - arm_end_intervals = pd.IntervalIndex.from_arrays( - target_arm_end_df.start, - target_arm_end_df.end, - closed="both", - ) - ripples_intervals = pd.IntervalIndex.from_arrays( - ripples_merge_df.start, - ripples_merge_df.end, - closed="both", - ) - # print(ripples_intervals[0:2]) + # put the 1000 shuffle loop here + if key["lfp_spect_param_name"] == 'random_shuffle': + shuf_count = 1000 + print('random shuffle',shuf_count) + else: + shuf_count = 1 + for i in np.arange(shuf_count): + if key["lfp_spect_param_name"] == 'random_shuffle': + center_well_timebins = task2_decode_center['bin_timestamp'].values + center_well_timebins_sub = np.random.choice(center_well_timebins, 1000) + + #for location in [1, 2, 4]: + # 8-5-24: random only + for location in [1]: + if key["lfp_spect_param_name"] != 'whole_post_smooth': + if location == 1: + if smoothing_on == 1: + target_timebins = arm1_smooth_midpoint.copy() + else: + target_timebins = arm1_end_timebins.copy() + elif location == 2: + if smoothing_on == 1: + target_timebins = arm2_smooth_midpoint.copy() + else: + target_timebins = arm2_end_timebins.copy() + elif location == 3: + target_timebins = stim_message_diff_reward_2[ + "bin_timestamp" + ].values + elif location == 4: + target_timebins = center_well_timebins_sub.copy() + + if location == 3: + a = target_timebins - 4 * 180 + b = target_timebins + 180 + + else: + if overlap_comp == "rips_only": + a = target_timebins + b = target_timebins + 180 + # if smoothing + if smoothing_on == 1: + a = target_timebins - ripple_prox + b = target_timebins + ripple_prox + else: + # print('rips center') + # central 1 sec: 75 - 105 + a = target_timebins + 75 + b = target_timebins + 105 + + if overlap_comp == "rips_only": + c = ripple_times["adjusted_start"] + d = ripple_times["adjusted_end"] + elif overlap_comp == "rips_center": + # print('rips center C and D') + c = center_ripple_df["adjusted_start"] + d = center_ripple_df["adjusted_end"] + elif overlap_comp == "no_rips_center": + c = center_non_ripple_df["adjusted_start"] + d = center_non_ripple_df["adjusted_end"] + + target_arm_end_df = pd.DataFrame( + { + "start": a, + "end": b, + } + ) + ripples_merge_df = pd.DataFrame( + { + "start": c, + "end": d, + } + ) + + arm_end_intervals = pd.IntervalIndex.from_arrays( + target_arm_end_df.start, + target_arm_end_df.end, + closed="both", + ) + ripples_intervals = pd.IntervalIndex.from_arrays( + ripples_merge_df.start, + ripples_merge_df.end, + closed="both", + ) + # print(ripples_intervals[0:2]) + + overlap_list = [] + + for interval in arm_end_intervals: + # print(np.sum(list_1.overlaps(interval))) + overlap_list.append( + np.sum(ripples_intervals.overlaps(interval)) + ) + # can we add the time to a ripple overlap list? + if np.sum(ripples_intervals.overlaps(interval)) == 1 and location == 1 and overlap_comp == 'rips_only': + #print('arm 1 interval',interval) + arm1_rip_overlap_times.append(interval.left) + elif np.sum(ripples_intervals.overlaps(interval)) > 1 and location == 1 and overlap_comp == 'rips_only': + print('overlaps 2 or more riplpes, arm1') + + if np.sum(ripples_intervals.overlaps(interval)) == 1 and location == 2 and overlap_comp == 'rips_only': + #print('arm 2 interval',interval) + arm2_rip_overlap_times.append(interval.left) + elif np.sum(ripples_intervals.overlaps(interval)) > 1 and location == 2 and overlap_comp == 'rips_only': + print('overlaps 2 or more riplpes, arm2') + + if np.sum(ripples_intervals.overlaps(interval)) == 1 and location == 4 and overlap_comp == 'rips_only': + #print('arm 2 interval',interval) + random_rip_overlap_times.append(interval.left) + elif np.sum(ripples_intervals.overlaps(interval)) > 1 and location == 4 and overlap_comp == 'rips_only': + print('overlaps 2 or more riplpes, random') + overlap_array = np.array(overlap_list) + # print('overlap array non-zero',overlap_comp,np.nonzero(overlap_array)[0].shape[0]) + + # different way of finding remote decode and ripple overlap + elif key["lfp_spect_param_name"] == 'whole_post_smooth': + # somehow want to match these up with other times - to check ripple and speed + target_timebins = stim_message_diff_reward_2["bin_timestamp"].values + target_adj = (target_timebins/30000) + offset + + event_length_list_arm1 = [] + event_length_list_arm2 = [] + smooth_posterior_whole = ndimage.gaussian_filter1d((decoder_data.iloc[:,27:68]),1,axis=0) + #rewarded_representation_1[time_counter,:,:] = surround_posterior + arm1_end_sum = np.sum(smooth_posterior_whole[:,20:25],axis=1) + arm2_end_sum = np.sum(smooth_posterior_whole[:,36:],axis=1) + + # equivalent to 0.4 without smooth is 0.268 with smooth + remote_intervals_arm1 = find_intervals_exceeding_threshold(arm1_end_sum, 0.268) + remote_intervals_arm2 = find_intervals_exceeding_threshold(arm2_end_sum, 0.268) + + # remove intervals that go over a time gap - does nothing + #for interval in remote_intervals_arm1: + # event_timestamps = decoder_timestamps[interval['indices']] + # if np.any(np.diff(event_timestamps) > 180) and event_timestamps.shape[0] > 1: + # print('event with gap',event_timestamps) + # else: + # event_length_list_arm1.append(interval['indices'].shape[0]) + + #for interval in remote_intervals_arm2: + # event_timestamps = decoder_timestamps[interval['indices']] + # if np.any(np.diff(event_timestamps) > 180) and event_timestamps.shape[0] > 1: + # print('event with gap',event_timestamps) + # else: + # event_length_list_arm2.append(interval['indices'].shape[0]) + #print('arm1 times',len(event_length_list_arm1), + # 'arm2 times',len(event_length_list_arm2)) + + # arm 1 + # this seems to work for brain state - to make interval list + #intervals = group_intervals(target_still, 1) + #arm_end_list_intervals = [] + #for interval in intervals: + # arm_end_list_intervals.append([interval['values'][0],interval['values'][-1]]) + + # use ripples intervals? + + # now need to make a list from realtime decoder + # only keep event at center well + posterior_interval_list = [] + center_well_timebins = task2_decode_center['bin_timestamp'].values + + for interval in remote_intervals_arm1: + placeholder, placeholder2, time_diff = find_nearest_1(center_well_timebins, + decoder_timestamps[interval['indices'][0]]) + if interval['indices'].shape[0] == 1 and time_diff <= 180: + posterior_interval_list.append([((decoder_timestamps[interval['indices']]/30000)+offset)[0], + ((decoder_timestamps[interval['indices']+1]/30000)+offset)[0]]) + elif time_diff <= 180: + posterior_interval_list.append([((decoder_timestamps[interval['indices'][0]]/30000)+offset)[0], + ((decoder_timestamps[interval['indices'][-1]+1]/30000)+offset)[0]]) + else: + pass + print('all arm1',len(remote_intervals_arm1),'center well',len(posterior_interval_list)) + + # find posterior times that overlap with ripples + rip_overlap_post = interval_list_intersect_1(np.array(posterior_interval_list), + np.array(ripple_time_list)) + unique_rip_arm1 = np.unique(np.array(rip_overlap_post),axis=0) + print('overlap with rips arm1',unique_rip_arm1.shape) + + # try to print ripple power for overlapping events + arm1_ripple_power = [] + for single_rip in unique_rip_arm1: + remote_start = find_nearest(lfp_timestamps,single_rip[0]) + remote_end = find_nearest(lfp_timestamps,single_rip[1]) + start_ind = np.where(lfp_timestamps==remote_start)[0][0] + end_ind = np.where(lfp_timestamps==remote_end)[0][0] + arm1_ripple_power.append(np.max(consensus_trace_zscore[start_ind-5:end_ind+5])) + + # match time to rewards - i think with will work with small offset 0.002 or 0.01 + target_time, placeholder, time_diff = find_nearest_1(target_adj, + (single_rip[0]+single_rip[1])/2) + if target_arm == 1 and time_diff <= 0.02: + target_ripple.append(single_rip) + target_rip_remove.append(target_time) + # save this to table + elif target_arm == 1: + # check time diff + #print('time diff to reward',time_diff) + #target_non_rip.append(target_time) + # check speed for these + # NOTE: do the same for arm 2 + # may want to find target arm + pass + + #print('ripple power arm 1',arm1_ripple_power[0:100]) + print('arm1. non ripple targets:',len(target_non_rip), + 'overlap with ripples',len(target_rip_remove)) + # remove ripple/target overlaps + target_non_rip = np.setdiff1d(target_adj,np.array(target_rip_remove)) + + index_list = [] + for single_overlap in unique_rip_arm1: + index_list.append(np.where(single_overlap == posterior_interval_list)) + + # remove those from list of all posterior times + non_overlap_list = np.delete(np.array(posterior_interval_list),np.array(index_list)[:,0][:,0],axis=0) + # now: take center of each interval and get speed + #midpoint_list = [] + #for counter in np.arange(non_overlap_list.shape[0]): + # midpoint_list.append((non_overlap_list[counter,0]+non_overlap_list[counter,1])/2) + #arm1_end_timebins = midpoint_list.copy() + arm1_end_timebins = non_overlap_list.copy() + + # arm 2 + # this seems to work for brain state - to make interval list + #intervals = group_intervals(target_still, 1) + #arm_end_list_intervals = [] + #for interval in intervals: + # arm_end_list_intervals.append([interval['values'][0],interval['values'][-1]]) + + # now need to make a list from realtime decoder + posterior_interval_list = [] + for interval in remote_intervals_arm2: + placeholder, placeholder2, time_diff = find_nearest_1(center_well_timebins, + decoder_timestamps[interval['indices'][0]]) + if interval['indices'].shape[0] == 1 and time_diff <= 180: + posterior_interval_list.append([((decoder_timestamps[interval['indices']]/30000)+offset)[0], + ((decoder_timestamps[interval['indices']+1]/30000)+offset)[0]]) + elif time_diff <= 180: + posterior_interval_list.append([((decoder_timestamps[interval['indices'][0]]/30000)+offset)[0], + ((decoder_timestamps[interval['indices'][-1]+1]/30000)+offset)[0]]) + else: + pass + # find posterior times that overlap with ripples + rip_overlap_post = interval_list_intersect_1(np.array(posterior_interval_list), + np.array(ripple_time_list)) + unique_rip_arm2 = np.unique(np.array(rip_overlap_post),axis=0) + print('all arm2',len(remote_intervals_arm2),'center well',len(posterior_interval_list)) + print('overlap with rips arm2',unique_rip_arm2.shape) + # try to print ripple power for overlapping events + arm2_ripple_power = [] + for single_rip in unique_rip_arm2: + remote_start = find_nearest(lfp_timestamps,single_rip[0]) + remote_end = find_nearest(lfp_timestamps,single_rip[1]) + start_ind = np.where(lfp_timestamps==remote_start)[0][0] + end_ind = np.where(lfp_timestamps==remote_end)[0][0] + arm2_ripple_power.append(np.max(consensus_trace_zscore[start_ind-5:end_ind+5])) + + # match time to rewards - i think with will work with small offset 0.002 or 0.01 + target_time, placeholder, time_diff = find_nearest_1(target_adj, + (single_rip[0]+single_rip[1])/2) + if target_arm == 2 and time_diff <= 0.02: + target_ripple.append(single_rip) + target_rip_remove.append(target_time) + # save this to table + elif target_arm == 2: + # check time diff + #print('time diff to reward',time_diff) + #target_non_rip.append(target_time) + # check speed for these + # NOTE: do the same for arm 2 + # may want to find target arm + pass + + #print('ripple power arm 2',arm2_ripple_power[0:100]) + # remove targets with ripple from list + target_non_rip = np.setdiff1d(target_adj,np.array(target_rip_remove)) + + print('arm2. non ripple targets:',len(target_non_rip), + 'overlap with ripples',len(target_rip_remove)) + + + index_list = [] + for single_overlap in unique_rip_arm2: + index_list.append(np.where(single_overlap == posterior_interval_list)) + # remove those from list of all posterior times + non_overlap_list = np.delete(np.array(posterior_interval_list),np.array(index_list)[:,0][:,0],axis=0) + # now: take center of each interval and get speed + # need to get midpoint in next step so we can preserve the interval + #midpoint_list = [] + #for counter in np.arange(non_overlap_list.shape[0]): + # midpoint_list.append((non_overlap_list[counter,0]+non_overlap_list[counter,1])/2) + #arm2_end_timebins = midpoint_list.copy() + arm2_end_timebins = non_overlap_list.copy() + + # look up the speed for each midpoint - based on adjusted timestamps + # this should already be in LFPspectogram + arm2_rip_overlap_times = [] + arm1_rip_overlap_times = [] + + # somehow need to keep all 1000 shuffles + # for shuffle i think do the next matching here + for time in center_well_timebins_sub: + adjusted_timestamp = time / 30000 + offset + # print(adjusted_timestamp[0]) + new_time = find_nearest( + spyglass_position_df.index, adjusted_timestamp + ) + new_speed = spyglass_position_df.loc[[new_time]][ + "speed_smooth" + ].values[0] + #all_speeds_center.append(new_speed) + + # if not using this, then comment out + rip_time, placeholder, min_diff = find_nearest_1( + lfp_timestamps, adjusted_timestamp + ) + # add time to list for either mvt or still + if time in random_rip_overlap_times: + random_times_rip.append(new_time) + elif new_speed > speed_thresh and min_diff < 0.03: + random_times_mvt.append(new_time) + elif new_speed < speed_thresh and min_diff < 0.03: + random_times_still.append(new_time) - overlap_list = [] - for interval in arm_end_intervals: - # print(np.sum(list_1.overlaps(interval))) - overlap_list.append( - np.sum(ripples_intervals.overlaps(interval)) - ) - # can we add the time to a ripple overlap list? - if np.sum(ripples_intervals.overlaps(interval)) == 1 and location == 1 and overlap_comp == 'rips_only': - #print('arm 1 interval',interval) - arm1_rip_overlap_times.append(interval.left) - elif np.sum(ripples_intervals.overlaps(interval)) > 1 and location == 1 and overlap_comp == 'rips_only': - print('overlaps 2 or more riplpes, arm1') - - if np.sum(ripples_intervals.overlaps(interval)) == 1 and location == 2 and overlap_comp == 'rips_only': - #print('arm 2 interval',interval) - arm2_rip_overlap_times.append(interval.left) - elif np.sum(ripples_intervals.overlaps(interval)) > 1 and location == 2 and overlap_comp == 'rips_only': - print('overlaps 2 or more riplpes, arm2') - - if np.sum(ripples_intervals.overlaps(interval)) == 1 and location == 4 and overlap_comp == 'rips_only': - #print('arm 2 interval',interval) - random_rip_overlap_times.append(interval.left) - elif np.sum(ripples_intervals.overlaps(interval)) > 1 and location == 4 and overlap_comp == 'rips_only': - print('overlaps 2 or more riplpes, random') - overlap_array = np.array(overlap_list) - # print('overlap array non-zero',overlap_comp,np.nonzero(overlap_array)[0].shape[0]) + # add to list for shuffles + all_times_random = len(random_times_mvt)+len(random_times_rip)+len(random_times_still) + rip_times_shuf_list.append(len(random_times_rip)/all_times_random) + still_times_shuf_list.append(len(random_times_still)/all_times_random) + mvt_times_shuf_list.append(len(random_times_mvt)/all_times_random) #print( # "center rips times", @@ -944,35 +1369,64 @@ def remove_intersection(list1, list2): else: process_timebins = arm1_end_timebins.copy() - for time in process_timebins: + if key["lfp_spect_param_name"] != 'speed_4_random' or key["lfp_spect_param_name"] != 'random_shuffle': + for time in process_timebins: - adjusted_timestamp = time / 30000 + offset - # print(adjusted_timestamp[0]) - new_time = find_nearest( - spyglass_position_df.index, adjusted_timestamp - ) - new_speed = spyglass_position_df.loc[[new_time]][ - "speed_smooth" - ].values[0] - #all_speeds_arm1.append(new_speed) - - # if not using this, then comment out - # NOTE: should only use if this is a close match (min_diff < 0.02) - rip_time, placeholder, min_diff = find_nearest_1( - lfp_timestamps, adjusted_timestamp - ) - # add time to list for either mvt or still - if time in arm1_rip_overlap_times: - arm1_times_rip.append(new_time) - elif new_speed > speed_thresh and min_diff < 0.02: - arm1_times_mvt.append(new_time) - elif new_speed < speed_thresh and min_diff < 0.02: - arm1_times_still.append(new_time) - - print( - "done with arm 1", - arm1_end_timebins.shape, - ) + if key["lfp_spect_param_name"] == 'whole_post_smooth': + midpoint = (time[0]+time[1])/2 + adjusted_timestamp = midpoint + else: + adjusted_timestamp = time / 30000 + offset + # print(adjusted_timestamp[0]) + # try to use min_diff here + new_time, placeholder, min_diff = find_nearest_1( + spyglass_position_df.index, adjusted_timestamp + ) + #print(min_diff,new_time,adjusted_timestamp) + new_speed = spyglass_position_df.loc[[new_time]][ + "speed_smooth" + ].values[0] + #all_speeds_arm1.append(new_speed) + + placeholder, placeholder, target_time_diff = find_nearest_1( + target_non_rip,new_time + ) + + # if not using this, then comment out + # NOTE: should only use if this is a close match (min_diff < 0.02) + # i think we can just use check above + #rip_time, placeholder, min_diff = find_nearest_1( + # lfp_timestamps, adjusted_timestamp) + #print(min_diff,adjusted_timestamp,rip_time) + + if key["lfp_spect_param_name"] == 'whole_post_smooth': + if new_speed > speed_thresh and min_diff < 0.02: + arm1_times_mvt.append(time) + #print(len(arm1_times_mvt)) + elif new_speed < speed_thresh and min_diff < 0.02: + arm1_times_still.append(time) + # target times + if target_arm == 1 and target_time_diff < 0.03 and new_speed > speed_thresh: + target_mvt.append(time) + elif target_arm == 1 and target_time_diff < 0.03 and new_speed < speed_thresh: + target_still.append(time) + else: + # add time to list for either mvt or still + if time in arm1_rip_overlap_times: + arm1_times_rip.append(new_time) + elif new_speed > speed_thresh and min_diff < 0.02: + arm1_times_mvt.append(new_time) + #print(len(arm1_times_mvt)) + elif new_speed < speed_thresh and min_diff < 0.02: + arm1_times_still.append(new_time) + + if key["lfp_spect_param_name"] == 'whole_post_smooth': + print('done with arm 1',len(arm1_end_timebins)) + else: + print( + "done with arm 1", + arm1_end_timebins.shape, + ) # add condtional for smoothed decode if smoothing_on == 1: @@ -980,73 +1434,99 @@ def remove_intersection(list1, list2): else: process_timebins = arm2_end_timebins.copy() - for time in process_timebins: - adjusted_timestamp = time / 30000 + offset - # print(adjusted_timestamp[0]) - new_time = find_nearest( - spyglass_position_df.index, adjusted_timestamp - ) - new_speed = spyglass_position_df.loc[[new_time]][ - "speed_smooth" - ].values[0] - #all_speeds_arm2.append(new_speed) - - # if not using this, then comment out - rip_time, placeholder, min_diff = find_nearest_1( - lfp_timestamps, adjusted_timestamp - ) - # add time to list for either mvt or still - if time in arm2_rip_overlap_times: - arm2_times_rip.append(new_time) - elif new_speed > speed_thresh and min_diff < 0.02: - arm2_times_mvt.append(new_time) - elif new_speed < speed_thresh and min_diff < 0.02: - arm2_times_still.append(new_time) - - print( - "arm 2 timebins", - arm2_end_timebins.shape, - ) + if key["lfp_spect_param_name"] != 'speed_4_random' or key["lfp_spect_param_name"] != 'random_shuffle': + for time in process_timebins: + if key["lfp_spect_param_name"] == 'whole_post_smooth': + midpoint = (time[0]+time[1])/2 + adjusted_timestamp = midpoint + else: + adjusted_timestamp = time / 30000 + offset + # print(adjusted_timestamp[0]) + # try to use min_diff here + new_time, placeholder, min_diff = find_nearest_1( + spyglass_position_df.index, adjusted_timestamp + ) + new_speed = spyglass_position_df.loc[[new_time]][ + "speed_smooth" + ].values[0] + #all_speeds_arm2.append(new_speed) - for time in target_timebins: - adjusted_timestamp = time / 30000 + offset - # print(adjusted_timestamp[0]) - new_time = find_nearest( - spyglass_position_df.index, adjusted_timestamp - ) - new_speed = spyglass_position_df.loc[[new_time]][ - "speed_smooth" - ].values[0] - #all_speeds_target.append(new_speed) - - # if not using this, then comment out - #rip_time, placeholder, min_diff = find_nearest_1( - # lfp_timestamps, adjusted_timestamp - #) - # add time to list for either mvt or still - - for time in center_well_timebins_sub: - adjusted_timestamp = time / 30000 + offset - # print(adjusted_timestamp[0]) - new_time = find_nearest( - spyglass_position_df.index, adjusted_timestamp - ) - new_speed = spyglass_position_df.loc[[new_time]][ - "speed_smooth" - ].values[0] - #all_speeds_center.append(new_speed) - - # if not using this, then comment out - rip_time, placeholder, min_diff = find_nearest_1( - lfp_timestamps, adjusted_timestamp - ) - # add time to list for either mvt or still - if time in random_rip_overlap_times: - random_times_rip.append(new_time) - elif new_speed > speed_thresh and min_diff < 0.02: - random_times_mvt.append(new_time) - elif new_speed < speed_thresh and min_diff < 0.02: - random_times_still.append(new_time) + placeholder, placeholder, target_time_diff = find_nearest_1( + target_non_rip,new_time + ) + # if not using this, then comment out + #rip_time, placeholder, min_diff = find_nearest_1( + # lfp_timestamps, adjusted_timestamp) + + if key["lfp_spect_param_name"] == 'whole_post_smooth': + if new_speed > speed_thresh and min_diff < 0.02: + arm2_times_mvt.append(time) + #print(len(arm1_times_mvt)) + elif new_speed < speed_thresh and min_diff < 0.02: + arm2_times_still.append(time) + # target times + if target_arm == 2 and target_time_diff < 0.03 and new_speed > speed_thresh: + target_mvt.append(time) + elif target_arm == 2 and target_time_diff < 0.03 and new_speed < speed_thresh: + target_still.append(time) + else: + # add time to list for either mvt or still + if time in arm2_rip_overlap_times: + arm2_times_rip.append(new_time) + elif new_speed > speed_thresh and min_diff < 0.02: + arm2_times_mvt.append(new_time) + elif new_speed < speed_thresh and min_diff < 0.02: + arm2_times_still.append(new_time) + + if key["lfp_spect_param_name"] == 'whole_post_smooth': + print('done with arm 2',len(arm2_end_timebins)) + else: + print( + "arm 2 timebins", + arm2_end_timebins.shape, + ) + if key["lfp_spect_param_name"] != 'whole_post_smooth': + for time in target_timebins: + adjusted_timestamp = time / 30000 + offset + # print(adjusted_timestamp[0]) + new_time = find_nearest( + spyglass_position_df.index, adjusted_timestamp + ) + new_speed = spyglass_position_df.loc[[new_time]][ + "speed_smooth" + ].values[0] + #all_speeds_target.append(new_speed) + + # if not using this, then comment out + #rip_time, placeholder, min_diff = find_nearest_1( + # lfp_timestamps, adjusted_timestamp + #) + # add time to list for either mvt or still + + # this needs to run for all 1000 loops - but this will be very slow - try 1000 each + if key["lfp_spect_param_name"] != 'random_shuffle' or key["lfp_spect_param_name"] != 'whole_post_smooth': + for time in center_well_timebins_sub: + adjusted_timestamp = time / 30000 + offset + # print(adjusted_timestamp[0]) + new_time = find_nearest( + spyglass_position_df.index, adjusted_timestamp + ) + new_speed = spyglass_position_df.loc[[new_time]][ + "speed_smooth" + ].values[0] + #all_speeds_center.append(new_speed) + + # if not using this, then comment out + rip_time, placeholder, min_diff = find_nearest_1( + lfp_timestamps, adjusted_timestamp + ) + # add time to list for either mvt or still + if time in random_rip_overlap_times: + random_times_rip.append(new_time) + elif new_speed > speed_thresh and min_diff < 0.02: + random_times_mvt.append(new_time) + elif new_speed < speed_thresh and min_diff < 0.02: + random_times_still.append(new_time) # this can check that the two intervals are lined up # plt.figure() @@ -1054,29 +1534,52 @@ def remove_intersection(list1, list2): # plt.scatter(ripples_df['start'],np.repeat(2,ripples_df.shape[0])) # summary stats - print('arm1. mvt: ',len(arm1_times_mvt),'rip:',len(arm1_times_rip),'still:',len(arm1_times_still)) - print('arm2. mvt: ',len(arm2_times_mvt),'rip:',len(arm2_times_rip),'still:',len(arm2_times_still)) - print('random. mvt: ',len(random_times_mvt),'rip:',len(random_times_rip),'still:',len(random_times_still)) + if key["lfp_spect_param_name"] == 'whole_post_smooth': + print('arm1. mvt: ',len(arm1_times_mvt),'rip:',len(unique_rip_arm1),'still:',len(arm1_times_still)) + print('arm2. mvt: ',len(arm2_times_mvt),'rip:',len(unique_rip_arm2),'still:',len(arm2_times_still)) + #print('random. mvt: ',len(random_times_mvt),'rip:',len(random_times_rip),'still:',len(random_times_still)) + else: + print('arm1. mvt: ',len(arm1_times_mvt),'rip:',len(arm1_times_rip),'still:',len(arm1_times_still)) + print('arm2. mvt: ',len(arm2_times_mvt),'rip:',len(arm2_times_rip),'still:',len(arm2_times_still)) + print('random. mvt: ',len(random_times_mvt),'rip:',len(random_times_rip),'still:',len(random_times_still)) + if smoothing_on == 1: key['all_arm1_times'] = arm1_smooth_midpoint.shape[0] key['all_arm2_times'] = arm2_smooth_midpoint.shape[0] key['all_random_times'] = center_well_timebins_sub.shape[0] + elif key["lfp_spect_param_name"] == 'whole_post_smooth': + key['all_arm1_times'] = len(arm1_end_timebins) + key['all_arm2_times'] = len(arm2_end_timebins) + key['all_random_times'] = 0 else: key['all_arm1_times'] = arm1_end_timebins.shape[0] key['all_arm2_times'] = arm2_end_timebins.shape[0] key['all_random_times'] = center_well_timebins_sub.shape[0] key["arm1_times_mvt"] = arm1_times_mvt - key["arm1_times_rip"] = arm1_times_rip + if key["lfp_spect_param_name"] == 'whole_post_smooth': + key["arm1_times_rip"] = unique_rip_arm1 + else: + key["arm1_times_rip"] = arm1_times_rip key["arm1_times_still"] = arm1_times_still key["arm2_times_mvt"] = arm2_times_mvt - key["arm2_times_rip"] = arm2_times_rip + if key["lfp_spect_param_name"] == 'whole_post_smooth': + key["arm2_times_rip"] = unique_rip_arm2 + else: + key["arm2_times_rip"] = arm2_times_rip key["arm2_times_still"] = arm2_times_still - key["random_times_mvt"] = random_times_mvt - key["random_times_rip"] = random_times_rip - key["random_times_still"] = random_times_still - key["reward_times_mvt"] = [] - key["reward_times_rip"] = [] - key["reward_times_still"] = [] - + + # change what is saved based on shuffle or not + if key["lfp_spect_param_name"] == 'random_shuffle': + key["random_times_mvt"] = mvt_times_shuf_list + key["random_times_rip"] = rip_times_shuf_list + key["random_times_still"] = still_times_shuf_list + else: + key["random_times_mvt"] = random_times_mvt + key["random_times_rip"] = random_times_rip + key["random_times_still"] = random_times_still + key["reward_times_mvt"] = target_mvt + key["reward_times_rip"] = target_ripple + key["reward_times_still"] = target_still + self.insert1(key) diff --git a/hippocampus_content_neurofeedback/mcoulter_reward_assemblies.py b/hippocampus_content_neurofeedback/mcoulter_reward_assemblies.py index a57cd04..e613a53 100644 --- a/hippocampus_content_neurofeedback/mcoulter_reward_assemblies.py +++ b/hippocampus_content_neurofeedback/mcoulter_reward_assemblies.py @@ -366,18 +366,21 @@ def fillmissingidxs(ind,n): print(realtime_interval_list) # exception for molly 3-24 - if ( - key["nwb_file_name"] == "molly20220324_.nwb" - and key["interval_list_name"] == realtime_interval_list[1] - ): - pos_name = pos_interval_list[1] - - elif key["interval_list_name"] == realtime_interval_list[0]: - pos_name = pos_interval_list[0] + if key["interval_list_name"] == realtime_interval_list[0]: + if key["nwb_file_name"] == "molly20220324_.nwb": + pos_name = 'pos 1 valid times' + else: + pos_name = pos_interval_list[0] elif key["interval_list_name"] == realtime_interval_list[1]: - pos_name = pos_interval_list[1] + if key["nwb_file_name"] == "molly20220324_.nwb": + pos_name = 'pos 3 valid times' + else: + pos_name = pos_interval_list[1] elif key["interval_list_name"] == realtime_interval_list[2]: - pos_name = pos_interval_list[2] + if key["nwb_file_name"] == "molly20220324_.nwb": + pos_name = 'pos 6 valid times' + else: + pos_name = pos_interval_list[2] print(key["nwb_file_name"], pos_name, key["interval_list_name"]) # set sort interval based on pos_name - this is only for ginny and tonks diff --git a/hippocampus_content_neurofeedback/mcoulter_theta_phase_shuffles.py b/hippocampus_content_neurofeedback/mcoulter_theta_phase_shuffles.py index dd4f940..d0d1369 100644 --- a/hippocampus_content_neurofeedback/mcoulter_theta_phase_shuffles.py +++ b/hippocampus_content_neurofeedback/mcoulter_theta_phase_shuffles.py @@ -171,18 +171,33 @@ def find_nearest_1(array, value): # exception for molly 3-24 try: - if ( - key["nwb_file_name"] == "molly20220324_.nwb" - and key["interval_list_name"] == realtime_interval_list[1] - ): - pos_name = pos_interval_list[1] - + if key["nwb_file_name"] == "pippin20210523_.nwb" and key["interval_list_name"] == '02_r1': + pass + elif key["nwb_file_name"] == "pippin20210523_.nwb" and key["interval_list_name"] == '04_r2': + pos_name = 'pos 3 valid times' + elif key["nwb_file_name"] == "pippin20210523_.nwb" and key["interval_list_name"] == '06_r3': + pos_name = 'pos 5 valid times' + elif key["nwb_file_name"] == "pippin20210524_.nwb" and key["interval_list_name"] == '04_r2': + pos_name = 'pos 3 valid times' + elif key["nwb_file_name"] == "pippin20210524_.nwb" and key["interval_list_name"] == '06_r3': + pos_name = 'pos 5 valid times' + # exception for molly 3-24 elif key["interval_list_name"] == realtime_interval_list[0]: - pos_name = pos_interval_list[0] + if key["nwb_file_name"] == "molly20220324_.nwb": + pos_name = 'pos 1 valid times' + else: + pos_name = pos_interval_list[0] elif key["interval_list_name"] == realtime_interval_list[1]: - pos_name = pos_interval_list[1] + if key["nwb_file_name"] == "molly20220324_.nwb": + pos_name = 'pos 3 valid times' + else: + pos_name = pos_interval_list[1] elif key["interval_list_name"] == realtime_interval_list[2]: - pos_name = pos_interval_list[2] + if key["nwb_file_name"] == "molly20220324_.nwb": + pos_name = 'pos 6 valid times' + else: + pos_name = pos_interval_list[2] + print(key["nwb_file_name"], pos_name, key["interval_list_name"]) pos_name_exist = 1 except IndexError as e: @@ -333,7 +348,15 @@ def find_nearest_1(array, value): ).fetch("interval_list_name") ) try: - if pos_name == all_pos[0]: + if key["nwb_file_name"] == "pippin20210523_.nwb" and pos_name == 'pos 3 valid times': + sort_interval = sort_intervals[0] + elif key["nwb_file_name"] == "pippin20210523_.nwb" and pos_name == 'pos 5 valid times': + sort_interval = sort_intervals[1] + elif key["nwb_file_name"] == "pippin20210524_.nwb" and pos_name == 'pos 3 valid times': + sort_interval = sort_intervals[0] + elif key["nwb_file_name"] == "pippin20210524_.nwb" and pos_name == 'pos 5 valid times': + sort_interval = sort_intervals[1] + elif pos_name == all_pos[0]: sort_interval = sort_intervals[0] elif pos_name == all_pos[1]: sort_interval = sort_intervals[0] diff --git a/hippocampus_content_neurofeedback/single_cell_summary_plots-share-v3.ipynb b/hippocampus_content_neurofeedback/single_cell_summary_plots-share-v3.ipynb new file mode 100644 index 0000000..c444bed --- /dev/null +++ b/hippocampus_content_neurofeedback/single_cell_summary_plots-share-v3.ipynb @@ -0,0 +1,9821 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 118, + "id": "aa4b007a", + "metadata": {}, + "outputs": [], + "source": [ + "%reload_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "id": "16941b70", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import numpy as np\n", + "import pandas as pd\n", + "import datajoint as dj\n", + "import pynwb\n", + "# ignore datajoint+jupyter async warnings\n", + "import warnings\n", + "warnings.simplefilter('ignore', category=DeprecationWarning)\n", + "warnings.simplefilter('ignore', category=ResourceWarning)\n", + "warnings.simplefilter('ignore', category=UserWarning)\n", + "warnings.simplefilter('ignore', category=PendingDeprecationWarning)\n", + "warnings.simplefilter('ignore', category=FutureWarning)\n", + "#warnings.simplefilter('ignore', category=SettingWithCopyWarning)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c6b56f18", + "metadata": {}, + "outputs": [], + "source": [ + "# rat naming key\n", + "# Rat 1 = 'pippin'\n", + "# Rat 2 = 'tonks'\n", + "# Rat 3 = 'ginny'\n", + "# Rat 4 = 'ron'\n", + "# Rat 5 = 'molly'\n", + "# Rat 6 = 'arthur'" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "09eacc3f", + "metadata": {}, + "outputs": [], + "source": [ + "# note: all files with path beginning with '/stelmo/mcoulter/coulter_all_figures' are in the Dryad repository" + ] + }, + { + "cell_type": "markdown", + "id": "134fcc57", + "metadata": {}, + "source": [ + "## Figure 1b" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "2e90b673", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas\n", + "import pickle\n", + "from pandas.errors import SettingWithCopyWarning\n", + "warnings.simplefilter('ignore', category=PendingDeprecationWarning)\n", + "\n", + "warnings.simplefilter('ignore', category=SettingWithCopyWarning)" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "id": "2fc758bb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 122, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# decoding: arm exploration\n", + "\n", + "file_name = '/stelmo/mcoulter/coulter_all_figures/figure_1b_posterior.pkl'\n", + "file = open(file_name,'rb')\n", + "posterior_to_plot = pickle.load(file)\n", + "file.close()\n", + "\n", + "posterior_to_plot_reset = posterior_to_plot.reset_index()\n", + "\n", + "posterior_offline1 = posterior_to_plot.iloc[:,27:68]\n", + "posterior_offline2 = posterior_offline1.fillna(0)\n", + "post_heatmap = posterior_offline2.transpose()\n", + "post_heatmap = post_heatmap.iloc[::-1]\n", + "\n", + "# size for individual reward events: (5,6)\n", + "matplotlib.rcParams.update({'font.size': 12})\n", + "gs_kw = dict(height_ratios=[1])\n", + "fig, axd = plt.subplot_mosaic([['lower']],\n", + " gridspec_kw=gs_kw, figsize=(14,6),\n", + " layout=\"constrained\")\n", + "sns.set_style(\"whitegrid\", {'axes.grid' : False})\n", + "\n", + "fig.suptitle('Tonks - arm exploration')\n", + "\n", + "axd['lower'] = (sns.heatmap(post_heatmap,vmin=0.1, vmax=0.5,cmap='bone_r'))\n", + "axd['lower'].hlines([30,14], lw=1, color='k',alpha=1,linestyles='dashed',*axd['lower'].get_xlim())\n", + "axd['lower'].plot(np.arange(0,posterior_to_plot.shape[0]),\n", + " 41-posterior_to_plot['real_pos'].values,alpha=1,color='green',lw=2) \n", + "axd['lower'].tick_params(axis='both', length=5, width = 2)\n", + "#axd['lower'].vlines(ripple_end_plot,lw=0.5,color='w',*axd['lower'].get_ylim())\n", + "axd['lower'].hlines([41-0.2,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].vlines([posterior_to_plot.shape[0]-1.1,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n" + ] + }, + { + "cell_type": "code", + "execution_count": 123, + "id": "499b429b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 123, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# decoding: sample remote representation\n", + "file_name = '/stelmo/mcoulter/coulter_all_figures/figure_1b_right_posterior.pkl'\n", + "file = open(file_name,'rb')\n", + "posterior_to_plot = pickle.load(file)\n", + "file.close()\n", + "\n", + "posterior_to_plot_reset = posterior_to_plot.reset_index()\n", + "\n", + "posterior_offline1 = posterior_to_plot.iloc[:,27:68]\n", + "posterior_offline2 = posterior_offline1.fillna(0)\n", + "post_heatmap = posterior_offline2.transpose()\n", + "post_heatmap = post_heatmap.iloc[::-1]\n", + "\n", + "# size for individual reward events: (5,6)\n", + "matplotlib.rcParams.update({'font.size': 12})\n", + "gs_kw = dict(height_ratios=[1])\n", + "fig, axd = plt.subplot_mosaic([['lower']],\n", + " gridspec_kw=gs_kw, figsize=(14,6),\n", + " layout=\"constrained\")\n", + "sns.set_style(\"whitegrid\", {'axes.grid' : False})\n", + "\n", + "fig.suptitle('Tonks - remote representation')\n", + "\n", + "axd['lower'] = (sns.heatmap(post_heatmap,vmin=0.1, vmax=0.5,cmap='bone_r'))\n", + "axd['lower'].hlines([30,14], lw=1, color='k',alpha=1,linestyles='dashed',*axd['lower'].get_xlim())\n", + "axd['lower'].plot(np.arange(0,posterior_to_plot.shape[0]),\n", + " 41-posterior_to_plot['real_pos'].values,alpha=1,color='green',lw=2) \n", + "axd['lower'].tick_params(axis='both', length=5, width = 2)\n", + "#axd['lower'].vlines(ripple_end_plot,lw=0.5,color='w',*axd['lower'].get_ylim())\n", + "axd['lower'].hlines([41-0.2,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].vlines([posterior_to_plot.shape[0]-1.1,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n" + ] + }, + { + "cell_type": "markdown", + "id": "e2913294", + "metadata": {}, + "source": [ + "# Figure S1" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4cbe2081", + "metadata": {}, + "outputs": [], + "source": [ + "# now need to load these files\n", + "# pippin\n", + "fileObj = open('/cumulus/mcoulter/coulter_all_figures/figure_S1d_rat1.pkl', 'rb')\n", + "pippin_total_spikes = pickle.load(fileObj)\n", + "fileObj.close()\n", + "fileObj = open('/cumulus/mcoulter/coulter_all_figures/figure_S1e_rat1.pkl', 'rb')\n", + "pippin_drop_spikes = pickle.load(fileObj)\n", + "fileObj.close()\n", + "\n", + "# tonks\n", + "fileObj = open('/cumulus/mcoulter/coulter_all_figures/figure_S1d_rat2.pkl', 'rb')\n", + "tonks_total_spikes = pickle.load(fileObj)\n", + "fileObj.close()\n", + "fileObj = open('/cumulus/mcoulter/coulter_all_figures/figure_S1e_rat2.pkl', 'rb')\n", + "arthur_drop_spikes = pickle.load(fileObj)\n", + "fileObj.close()\n", + "\n", + "# ginny\n", + "fileObj = open('/cumulus/mcoulter/coulter_all_figures/figure_S1d_rat3.pkl', 'rb')\n", + "ginny_total_spikes = pickle.load(fileObj)\n", + "fileObj.close()\n", + "fileObj = open('/cumulus/mcoulter/coulter_all_figures/figure_S1e_rat3.pkl', 'rb')\n", + "ginny_drop_spikes = pickle.load(fileObj)\n", + "fileObj.close()\n", + "\n", + "# ron\n", + "fileObj = open('/cumulus/mcoulter/coulter_all_figures/figure_S1d_rat4.pkl', 'rb')\n", + "ron_total_spikes = pickle.load(fileObj)\n", + "fileObj.close()\n", + "fileObj = open('/cumulus/mcoulter/coulter_all_figures/figure_S1e_rat4.pkl', 'rb')\n", + "ron_drop_spikes = pickle.load(fileObj)\n", + "fileObj.close()\n", + "\n", + "# molly\n", + "fileObj = open('/cumulus/mcoulter/coulter_all_figures/figure_S1d_rat5.pkl', 'rb')\n", + "molly_total_spikes = pickle.load(fileObj)\n", + "fileObj.close()\n", + "fileObj = open('/cumulus/mcoulter/coulter_all_figures/figure_S1e_rat5.pkl', 'rb')\n", + "molly_drop_spikes = pickle.load(fileObj)\n", + "fileObj.close()\n", + "\n", + "# arthur\n", + "fileObj = open('/cumulus/mcoulter/coulter_all_figures/figure_S1d_rat6.pkl', 'rb')\n", + "arthur_total_spikes = pickle.load(fileObj)\n", + "fileObj.close()\n", + "fileObj = open('/cumulus/mcoulter/coulter_all_figures/figure_S1e_rat6.pkl', 'rb')\n", + "arthur_drop_spikes = pickle.load(fileObj)\n", + "fileObj.close()\n", + "\n", + "# find code for making nice bar graph\n", + "# makes nice bar plot\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patches\n", + "\n", + "sns.set_style(\"ticks\", {'axes.grid' : False})\n", + "\n", + "# Figure S1E - dropped spikes\n", + "#pippin_head_dir_plot = pippin_drop_spikes/pippin_total_spikes\n", + "#tonks_head_dir_plot = tonks_drop_spikes/tonks_total_spikes\n", + "#ginny_head_dir_plot = ginny_drop_spikes/ginny_total_spikes\n", + "#ron_head_dir_plot = ron_drop_spikes/ron_total_spikes\n", + "#molly_head_dir_plot = molly_drop_spikes/molly_total_spikes\n", + "#arthur_head_dir_plot = arthur_drop_spikes/arthur_total_spikes\n", + "\n", + "# Figure S1D - total spikes\n", + "pippin_head_dir_plot = pippin_total_spikes\n", + "tonks_head_dir_plot = tonks_total_spikes\n", + "ginny_head_dir_plot = ginny_total_spikes\n", + "ron_head_dir_plot = ron_total_spikes\n", + "molly_head_dir_plot = molly_total_spikes\n", + "arthur_head_dir_plot = arthur_total_spikes\n", + "\n", + "matplotlib.rcParams.update({'font.size': 20})\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 0\n", + "plt.rcParams['ytick.major.width'] = 2\n", + "\n", + "fig, ax = plt.subplots()\n", + "fig.set_size_inches(18,10)\n", + "\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.spines['bottom'].set_color('black')\n", + "ax.spines['left'].set_color('black')\n", + "ax.spines['bottom'].set_linewidth(2)\n", + "ax.spines['left'].set_linewidth(2)\n", + "\n", + "swarm = 1\n", + "\n", + "if swarm == 1:\n", + " swarm_ax = sns.stripplot(x=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(2,len(tonks_head_dir_plot)),\n", + " np.repeat(3,len(ginny_head_dir_plot)),\n", + " np.repeat(4,len(ron_head_dir_plot)),\n", + " np.repeat(5,len(molly_head_dir_plot)),\n", + " np.repeat(6,len(arthur_head_dir_plot)),\n", + " ]), \n", + " y=np.concatenate([pippin_head_dir_plot,\n", + " tonks_head_dir_plot,\n", + " ginny_head_dir_plot,\n", + " ron_head_dir_plot,\n", + " molly_head_dir_plot,\n", + " arthur_head_dir_plot,\n", + " ]), \n", + " hue=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(1,len(tonks_head_dir_plot)),\n", + " np.repeat(1,len(ginny_head_dir_plot)),\n", + " np.repeat(1,len(ron_head_dir_plot)),\n", + " np.repeat(1,len(molly_head_dir_plot)),\n", + " np.repeat(1,len(arthur_head_dir_plot)),\n", + " ]), \n", + " palette=['black'], \n", + " alpha=1,zorder=1,size=10,\n", + " edgecolor='white',linewidth=1,dodge=True)\n", + "\n", + "t_ax = sns.boxplot(x=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(2,len(tonks_head_dir_plot)),\n", + " np.repeat(3,len(ginny_head_dir_plot)),\n", + " np.repeat(4,len(ron_head_dir_plot)),\n", + " np.repeat(5,len(molly_head_dir_plot)),\n", + " np.repeat(6,len(arthur_head_dir_plot)),\n", + " ]), \n", + " y=np.concatenate([pippin_head_dir_plot,\n", + " tonks_head_dir_plot,\n", + " ginny_head_dir_plot,\n", + " ron_head_dir_plot,\n", + " molly_head_dir_plot,\n", + " arthur_head_dir_plot,\n", + " ]), \n", + " hue = np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(1,len(tonks_head_dir_plot)),\n", + " np.repeat(1,len(ginny_head_dir_plot)),\n", + " np.repeat(1,len(ron_head_dir_plot)),\n", + " np.repeat(1,len(molly_head_dir_plot)),\n", + " np.repeat(1,len(arthur_head_dir_plot)),\n", + " ]),\n", + " #capsize=0.1,errcolor='black',\n", + " linewidth=2, #facecolor=(1, 1, 1, 0),\n", + " palette=['black'],\n", + " zorder=2,showfliers=False,showcaps=False)\n", + "\n", + "for patch in t_ax.patches:\n", + " patch.set_alpha(0.5)\n", + " \n", + "ax.get_legend().remove()\n", + " \n", + "#plt.ylim(0,10)\n", + "plt.title('All rats: fraction dropped spikes')\n", + "\n", + "#\n", + "filename = '/home/mcoulter/content_feedback_figs/all_rats_dropped_spikes.pdf'\n", + "#plt.savefig(filename, form" + ] + }, + { + "cell_type": "markdown", + "id": "f7e68a4a", + "metadata": {}, + "source": [ + "## Figure 2" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "da73d731", + "metadata": {}, + "outputs": [], + "source": [ + "# neurofeedback reward counts - checked with daily data records\n", + "\n", + "pippin_content = [22, 1, 3, 17, 6, 17, 39, 22, 24, 46, 75, 54, 74, 74, 60, 74, 74, 36]\n", + "tonks_content = [33, 37, 53, 24, 50, 49, 75, 27, 38, 75, 75, 53, 63, 55, 75, 75, 75, 75, 75, \n", + " 3, 75, 75, 75, 10, 39, 45, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, \n", + " 39, 57, 70, 68, 75, 75, 75, 75, 75, 75, 75, 76, 75, 75, 75]\n", + "ginny_content = [19, 41, 75, 22, 37, 61, 75, 75, 75, 70, 45, 49, 52, 31, 46, 75, 69, 75, \n", + " 23, 5, 22, 4, 19, 11, 46, 3, 3, 24, 28, 76, 33, 50, 75, 33, 75, 75, 40, 16, 23, \n", + " 19, 3, 8, 22, 19, 20, 53, 75, 40, 12, 53, 75, 64, 75, 75]\n", + "ron_content = [19, 41, 75, 22, 37, 61, 75, 75, 75, 70, 45, 49, 52, 31, 46, 75, 69, 75, 23, 5, \n", + " 22, 4, 19, 11, 46, 3, 3, 24, 28, 76, 33, 50, 75, 33, 75, 75, 40, 16, 23, 19, \n", + " 3, 8, 22, 19, 20, 53, 75, 40, 12, 53, 75, 64, 75, 75]\n", + "molly_content = [17, 30, 33, 23, 13, 51, 53, 42, 75, 75, 51, 21, 15, 60, 54, 75, 10, 23, 75, \n", + " 72, 42, 53, 34, 32, 43, 26, 50, 68, 75, 3, 43, 54, 42, 75, 65, 49, 8, 43, 48, 75, \n", + " 71, 52, 75, 75, 21, 41, 38, 59, 34, 13, 24, 36, 32]\n", + "arthur_content = [52, 43, 12, 73, 57, 75, 13, 75, 33, 18, 26, 2, 25, 52, 2, 3, 7, 12, 6, 15, \n", + " 1, 1, 36, 9, 9, 12, 10, 28, 22, 12, 75, 49, 42, 10, 29, 33, 25, 8, 33, 27, 36, \n", + " 37, 29, 25, 8, 10, 19, 42, 20, 53, 37, 51, 60, 75]\n", + "\n", + "# just make one cell with all 12 plots - include titles\n", + "\n", + "reward_count_list = ron_head_dir\n", + "plt.figure()\n", + "plt.scatter(np.arange(len(reward_count_list)),reward_count_list,s=25,c='k')" + ] + }, + { + "cell_type": "markdown", + "id": "7b29ce0a", + "metadata": {}, + "source": [ + "## Figure S2 - decoding error" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9addb055", + "metadata": {}, + "outputs": [], + "source": [ + "# these are raw counts of good and bad sessions for each rat\n", + "good_counts = np.array([19,62,53,55,62,62])\n", + "bad_counts = np.array([11,1,13,11,4,4])\n", + "\n", + "good_frac = good_counts/(good_counts+bad_counts)\n", + "bad_frac = bad_counts/(good_counts+bad_counts)\n", + "# single summary per rat weighted by number of events\n", + "\n", + "num_bars = 6 \n", + "fig, ax = plt.subplots()\n", + "#theta - remove\n", + "#ax.bar(np.arange(num_bars), np.array(all_summary_theta), color = \"goldenrod\")\n", + "# movement\n", + "ax.bar(np.arange(num_bars), good_frac, color = \"forestgreen\",)\n", + "# still\n", + "ax.bar(np.arange(num_bars), (1 - np.array(good_frac)), color = \"black\",\n", + " bottom = np.array(good_frac))\n", + "# ripple\n", + "#ax.bar(np.arange(num_bars), np.array(all_summary_ripple), color = \"grey\",\n", + "# bottom = (1 - np.array(all_summary_mvt)) - np.array(all_summary_ripple)+np.array(all_summary_mvt))\n", + "plt.title('all rats')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4c453440", + "metadata": {}, + "outputs": [], + "source": [ + "# load files - 1 each\n", + "import pickle\n", + "\n", + "fileObj = open('/cumulus/mcoulter/coulter_all_figures/figure_S2c_rat1.pkl', 'rb')\n", + "pippin_combined_error_flat = pickle.load(fileObj)\n", + "fileObj.close()\n", + "\n", + "fileObj = open('/cumulus/mcoulter/coulter_all_figures/figure_S2c_rat2.pkl', 'rb')\n", + "tonks_combined_error_flat = pickle.load(fileObj)\n", + "fileObj.close()\n", + "\n", + "fileObj = open('/cumulus/mcoulter/coulter_all_figures/figure_S2c_rat3.pkl', 'rb')\n", + "ginny_combined_error_flat = pickle.load(fileObj)\n", + "fileObj.close()\n", + "\n", + "fileObj = open('/cumulus/mcoulter/coulter_all_figures/figure_S2c_rat4.pkl', 'rb')\n", + "ron_combined_error_flat = pickle.load(fileObj)\n", + "fileObj.close()\n", + "\n", + "fileObj = open('/cumulus/mcoulter/coulter_all_figures/figure_S2c_rat5.pkl', 'rb')\n", + "molly_combined_error_flat = pickle.load(fileObj)\n", + "fileObj.close()\n", + "\n", + "fileObj = open('/cumulus/mcoulter/coulter_all_figures/figure_S2c_rat6.pkl', 'rb')\n", + "arthur_combined_error_flat = pickle.load(fileObj)\n", + "fileObj.close()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4d6d92ca", + "metadata": {}, + "outputs": [], + "source": [ + "# add x-axis tick marks\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 10\n", + "plt.rcParams['ytick.major.width'] = 2\n", + "plt.rcParams['xtick.major.width'] = 2\n", + "\n", + "# plotting\n", + "fig, axs = plt.subplots(2,3, figsize=(18,10))\n", + "\n", + "[values,bins] = np.histogram(pippin_combined_error_flat,bins=np.arange(0,150,5))\n", + "axs[0,0].plot(bins[:-1],values/len(pippin_combined_error_flat),linewidth=4,color='k')\n", + "axs[0,0].vlines(np.median(pippin_combined_error_flat),0,0.25,colors='k',linestyles='dashed')\n", + "axs[0,0].set_title('Rat 1')\n", + "print('median',np.median(pippin_combined_error_flat))\n", + "\n", + "[values,bins] = np.histogram(tonks_combined_error_flat,bins=np.arange(0,150,5))\n", + "axs[0,1].plot(bins[:-1],values/len(tonks_combined_error_flat),linewidth=4,color='k')\n", + "axs[0,1].vlines(np.median(tonks_combined_error_flat),0,0.25,colors='k',linestyles='dashed')\n", + "axs[0,1].set_title('Rat 2')\n", + "print('median',np.median(tonks_combined_error_flat)) \n", + "\n", + "[values,bins] = np.histogram(ginny_combined_error_flat,bins=np.arange(0,150,5))\n", + "axs[0,2].plot(bins[:-1],values/len(ginny_combined_error_flat),linewidth=4,color='k')\n", + "axs[0,2].vlines(np.median(ginny_combined_error_flat),0,0.25,colors='k',linestyles='dashed')\n", + "axs[0,2].set_title('Rat 3')\n", + "print('median',np.median(ginny_combined_error_flat)) \n", + "\n", + "[values,bins] = np.histogram(ron_combined_error_flat,bins=np.arange(0,150,5))\n", + "axs[1,0].plot(bins[:-1],values/len(ron_combined_error_flat),linewidth=4,color='k')\n", + "axs[1,0].vlines(np.median(ron_combined_error_flat),0,0.25,colors='k',linestyles='dashed')\n", + "axs[1,0].set_title('Rat 4')\n", + "print('median',np.median(ron_combined_error_flat)) \n", + "\n", + "[values,bins] = np.histogram(molly_combined_error_flat,bins=np.arange(0,150,5))\n", + "axs[1,1].plot(bins[:-1],values/len(molly_combined_error_flat),linewidth=4,color='k')\n", + "axs[1,1].vlines(np.median(molly_combined_error_flat),0,0.25,colors='k',linestyles='dashed')\n", + "axs[1,1].set_title('Rat 5')\n", + "print('median',np.median(molly_combined_error_flat)) \n", + "\n", + "[values,bins] = np.histogram(arthur_combined_error_flat,bins=np.arange(0,150,5))\n", + "axs[1,2].plot(bins[:-1],values/len(arthur_combined_error_flat),linewidth=4,color='k')\n", + "axs[1,2].vlines(np.median(arthur_combined_error_flat),0,0.25,colors='k',linestyles='dashed')\n", + "axs[1,2].set_title('Rat 6')\n", + "print('median',np.median(arthur_combined_error_flat)) " + ] + }, + { + "cell_type": "markdown", + "id": "7f8a7899", + "metadata": {}, + "source": [ + "## Figure 3" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "id": "2678fb4e", + "metadata": {}, + "outputs": [], + "source": [ + "# jump example\n", + "#fileObj = open('/stelmo/mcoulter/coulter_all_figures/jump_example_decode.pkl', 'wb')\n", + "#pickle.dump(posterior_to_plot,fileObj)\n", + "#fileObj.close()\n", + "\n", + "# arm base example\n", + "#fileObj = open('/stelmo/mcoulter/coulter_all_figures/arm_base_example_decode.pkl', 'wb')\n", + "#pickle.dump(posterior_to_plot,fileObj)\n", + "#fileObj.close()\n", + "\n", + "# med trajectory example\n", + "#fileObj = open('/stelmo/mcoulter/coulter_all_figures/med_traj_example_decode.pkl', 'wb')\n", + "#pickle.dump(posterior_to_plot,fileObj)\n", + "#fileObj.close()\n", + "\n", + "# full trajectory example\n", + "#fileObj = open('/stelmo/mcoulter/coulter_all_figures/full_traj_example_decode.pkl', 'wb')\n", + "#pickle.dump(posterior_to_plot,fileObj)\n", + "#fileObj.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 233, + "id": "484215f6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 233, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# load and plot examples - trajectories\n", + "file = open('/stelmo/mcoulter/coulter_all_figures/jump_example_decode.pkl','rb')\n", + "posterior_to_plot = pickle.load(file)\n", + "file.close()\n", + "\n", + "posterior_to_plot_reset = posterior_to_plot.reset_index()\n", + "\n", + "posterior_offline1 = posterior_to_plot.iloc[:,27:68]\n", + "posterior_offline2 = posterior_offline1.fillna(0)\n", + "post_heatmap = posterior_offline2.transpose()\n", + "post_heatmap = post_heatmap.iloc[::-1]\n", + "\n", + "# size for individual reward events: (5,6)\n", + "matplotlib.rcParams.update({'font.size': 12})\n", + "gs_kw = dict(height_ratios=[1])\n", + "fig, axd = plt.subplot_mosaic([['lower']],\n", + " gridspec_kw=gs_kw, figsize=(6,6),\n", + " layout=\"constrained\")\n", + "sns.set_style(\"whitegrid\", {'axes.grid' : False})\n", + "\n", + "fig.suptitle('Tonks 11-11, jump event')\n", + "\n", + "axd['lower'] = (sns.heatmap(post_heatmap,vmin=0.1, vmax=0.5,cmap='bone_r'))\n", + "axd['lower'].hlines([30,14], lw=1, color='k',alpha=1,linestyles='dashed',*axd['lower'].get_xlim())\n", + "axd['lower'].plot(np.arange(0,posterior_to_plot_pos.shape[0]),\n", + " 41-posterior_to_plot_pos['real_pos'].values,alpha=1,color='green',lw=2) \n", + "axd['lower'].tick_params(axis='both', length=5, width = 2)\n", + "#axd['lower'].vlines(ripple_end_plot,lw=0.5,color='w',*axd['lower'].get_ylim())\n", + "axd['lower'].hlines([41-0.2,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].vlines([posterior_to_plot.shape[0]-0.2,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].vlines([posterior_to_plot.shape[0]/2], lw=1, color='r',alpha=1,*axd['lower'].get_xlim())\n" + ] + }, + { + "cell_type": "code", + "execution_count": 234, + "id": "f8d58c5c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 234, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# load and plot examples - trajectories\n", + "file = open('/stelmo/mcoulter/coulter_all_figures/arm_base_example_decode.pkl','rb')\n", + "posterior_to_plot = pickle.load(file)\n", + "file.close()\n", + "\n", + "posterior_to_plot_reset = posterior_to_plot.reset_index()\n", + "\n", + "posterior_offline1 = posterior_to_plot.iloc[:,27:68]\n", + "posterior_offline2 = posterior_offline1.fillna(0)\n", + "post_heatmap = posterior_offline2.transpose()\n", + "post_heatmap = post_heatmap.iloc[::-1]\n", + "\n", + "# size for individual reward events: (5,6)\n", + "matplotlib.rcParams.update({'font.size': 12})\n", + "gs_kw = dict(height_ratios=[1])\n", + "fig, axd = plt.subplot_mosaic([['lower']],\n", + " gridspec_kw=gs_kw, figsize=(6,6),\n", + " layout=\"constrained\")\n", + "sns.set_style(\"whitegrid\", {'axes.grid' : False})\n", + "\n", + "fig.suptitle('Tonks 11-11, arm base event')\n", + "\n", + "axd['lower'] = (sns.heatmap(post_heatmap,vmin=0.1, vmax=0.5,cmap='bone_r'))\n", + "axd['lower'].hlines([30,14], lw=1, color='k',alpha=1,linestyles='dashed',*axd['lower'].get_xlim())\n", + "axd['lower'].plot(np.arange(0,posterior_to_plot_pos.shape[0]),\n", + " 41-posterior_to_plot_pos['real_pos'].values,alpha=1,color='green',lw=2) \n", + "axd['lower'].tick_params(axis='both', length=5, width = 2)\n", + "#axd['lower'].vlines(ripple_end_plot,lw=0.5,color='w',*axd['lower'].get_ylim())\n", + "axd['lower'].hlines([41-0.2,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].vlines([posterior_to_plot.shape[0]-0.2,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].vlines([posterior_to_plot.shape[0]/2], lw=1, color='r',alpha=1,*axd['lower'].get_xlim())\n" + ] + }, + { + "cell_type": "code", + "execution_count": 235, + "id": "89a99627", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 235, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# load and plot examples - trajectories\n", + "file = open('/stelmo/mcoulter/coulter_all_figures/med_traj_example_decode.pkl','rb')\n", + "posterior_to_plot = pickle.load(file)\n", + "file.close()\n", + "\n", + "posterior_to_plot_reset = posterior_to_plot.reset_index()\n", + "\n", + "posterior_offline1 = posterior_to_plot.iloc[:,27:68]\n", + "posterior_offline2 = posterior_offline1.fillna(0)\n", + "post_heatmap = posterior_offline2.transpose()\n", + "post_heatmap = post_heatmap.iloc[::-1]\n", + "\n", + "# size for individual reward events: (5,6)\n", + "matplotlib.rcParams.update({'font.size': 12})\n", + "gs_kw = dict(height_ratios=[1])\n", + "fig, axd = plt.subplot_mosaic([['lower']],\n", + " gridspec_kw=gs_kw, figsize=(6,6),\n", + " layout=\"constrained\")\n", + "sns.set_style(\"whitegrid\", {'axes.grid' : False})\n", + "\n", + "fig.suptitle('Tonks 11-11, medium trajectory')\n", + "\n", + "axd['lower'] = (sns.heatmap(post_heatmap,vmin=0.1, vmax=0.5,cmap='bone_r'))\n", + "axd['lower'].hlines([30,14], lw=1, color='k',alpha=1,linestyles='dashed',*axd['lower'].get_xlim())\n", + "axd['lower'].plot(np.arange(0,posterior_to_plot_pos.shape[0]),\n", + " 41-posterior_to_plot_pos['real_pos'].values,alpha=1,color='green',lw=2) \n", + "axd['lower'].tick_params(axis='both', length=5, width = 2)\n", + "#axd['lower'].vlines(ripple_end_plot,lw=0.5,color='w',*axd['lower'].get_ylim())\n", + "axd['lower'].hlines([41-0.2,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].vlines([posterior_to_plot.shape[0]-0.2,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].vlines([posterior_to_plot.shape[0]/2], lw=1, color='r',alpha=1,*axd['lower'].get_xlim())\n" + ] + }, + { + "cell_type": "code", + "execution_count": 236, + "id": "9aa6f0fb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 236, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# load and plot examples - trajectories\n", + "file = open('/stelmo/mcoulter/coulter_all_figures/full_traj_example_decode.pkl','rb')\n", + "posterior_to_plot = pickle.load(file)\n", + "file.close()\n", + "\n", + "posterior_to_plot_reset = posterior_to_plot.reset_index()\n", + "\n", + "posterior_offline1 = posterior_to_plot.iloc[:,27:68]\n", + "posterior_offline2 = posterior_offline1.fillna(0)\n", + "post_heatmap = posterior_offline2.transpose()\n", + "post_heatmap = post_heatmap.iloc[::-1]\n", + "\n", + "# size for individual reward events: (5,6)\n", + "matplotlib.rcParams.update({'font.size': 12})\n", + "gs_kw = dict(height_ratios=[1])\n", + "fig, axd = plt.subplot_mosaic([['lower']],\n", + " gridspec_kw=gs_kw, figsize=(6,6),\n", + " layout=\"constrained\")\n", + "sns.set_style(\"whitegrid\", {'axes.grid' : False})\n", + "\n", + "fig.suptitle('Tonks 11-11, full trajectory')\n", + "\n", + "axd['lower'] = (sns.heatmap(post_heatmap,vmin=0.1, vmax=0.5,cmap='bone_r'))\n", + "axd['lower'].hlines([30,14], lw=1, color='k',alpha=1,linestyles='dashed',*axd['lower'].get_xlim())\n", + "axd['lower'].plot(np.arange(0,posterior_to_plot_pos.shape[0]),\n", + " 41-posterior_to_plot_pos['real_pos'].values,alpha=1,color='green',lw=2) \n", + "axd['lower'].tick_params(axis='both', length=5, width = 2)\n", + "#axd['lower'].vlines(ripple_end_plot,lw=0.5,color='w',*axd['lower'].get_ylim())\n", + "axd['lower'].hlines([41-0.2,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].vlines([posterior_to_plot.shape[0]-0.2,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].vlines([posterior_to_plot.shape[0]/2], lw=1, color='r',alpha=1,*axd['lower'].get_xlim())\n" + ] + }, + { + "cell_type": "code", + "execution_count": 408, + "id": "210a3373", + "metadata": {}, + "outputs": [], + "source": [ + "# load dictionaries\n", + "\n", + "# key\n", + "#ginny_trajectory_dict = {}\n", + "#ginny_trajectory_dict[1] = ginny_total \n", + "#ginny_trajectory_dict[2] = ginny_arm_base \n", + "#ginny_trajectory_dict[3] = ginny_med_traj \n", + "#ginny_trajectory_dict[4] = ginny_long_traj \n", + "#ginny_trajectory_dict[5] = ginny_remote_distance \n", + "#ginny_trajectory_dict[6] = ginny_arm_end \n", + "#ginny_trajectory_dict[7] = ginny_jumps \n", + "#ginny_trajectory_dict[8] = ginny_longtraj \n", + "#ginny_trajectory_dict[9] = ginny_medtraj \n", + "#ginny_trajectory_dict[10] = ginny_armbase_brain_state \n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/pippin_trajectory_dict_no_lfp.pkl', 'rb')\n", + "traj_dict = pickle.load(fileObj)\n", + "file.close()\n", + "pippin_total = traj_dict[1]\n", + "pippin_arm_base = traj_dict[2]\n", + "pippin_med_traj = traj_dict[3]\n", + "pippin_long_traj = traj_dict[4]\n", + "pippin_arm_base_1bin = traj_dict\n", + "pippin_arm_end = traj_dict[6]\n", + "pippin_remote_distance = traj_dict[5]\n", + "pippin_arm_base_1bin = traj_dict[11]\n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/molly_trajectory_dict_no_lfp.pkl', 'rb')\n", + "traj_dict = pickle.load(fileObj)\n", + "file.close()\n", + "molly_total = traj_dict[1]\n", + "molly_arm_base = traj_dict[2]\n", + "molly_med_traj = traj_dict[3]\n", + "molly_long_traj = traj_dict[4]\n", + "molly_arm_base_1bin = traj_dict\n", + "molly_arm_end = traj_dict[6]\n", + "molly_remote_distance = traj_dict[5]\n", + "molly_arm_base_1bin = traj_dict[11]\n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/tonks_trajectory_dict_no_lfp.pkl', 'rb')\n", + "traj_dict = pickle.load(fileObj)\n", + "file.close()\n", + "tonks_total = traj_dict[1]\n", + "tonks_arm_base = traj_dict[2]\n", + "tonks_med_traj = traj_dict[3]\n", + "tonks_long_traj = traj_dict[4]\n", + "tonks_arm_base_1bin = traj_dict\n", + "tonks_arm_end = traj_dict[6]\n", + "tonks_remote_distance = traj_dict[5]\n", + "tonks_arm_base_1bin = traj_dict[11]\n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/ginny_trajectory_dict_no_lfp.pkl', 'rb')\n", + "traj_dict = pickle.load(fileObj)\n", + "file.close()\n", + "ginny_total = traj_dict[1]\n", + "ginny_arm_base = traj_dict[2]\n", + "ginny_med_traj = traj_dict[3]\n", + "ginny_long_traj = traj_dict[4]\n", + "ginny_arm_base_1bin = traj_dict\n", + "ginny_arm_end = traj_dict[6]\n", + "ginny_remote_distance = traj_dict[5]\n", + "ginny_arm_base_1bin = traj_dict[11]\n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/ron_trajectory_dict_no_lfp.pkl', 'rb')\n", + "traj_dict = pickle.load(fileObj)\n", + "file.close()\n", + "ron_total = traj_dict[1]\n", + "ron_arm_base = traj_dict[2]\n", + "ron_med_traj = traj_dict[3]\n", + "ron_long_traj = traj_dict[4]\n", + "ron_arm_base_1bin = traj_dict\n", + "ron_arm_end = traj_dict[6]\n", + "ron_remote_distance = traj_dict[5]\n", + "ron_arm_base_1bin = traj_dict[11]\n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/arthur_trajectory_dict_no_lfp.pkl', 'rb')\n", + "traj_dict = pickle.load(fileObj)\n", + "file.close()\n", + "arthur_total = traj_dict[1]\n", + "arthur_arm_base = traj_dict[2]\n", + "arthur_med_traj = traj_dict[3]\n", + "arthur_long_traj = traj_dict[4]\n", + "arthur_arm_base_1bin = traj_dict\n", + "arthur_arm_end = traj_dict[6]\n", + "arthur_remote_distance = traj_dict[5]\n", + "arthur_arm_base_1bin = traj_dict[11]" + ] + }, + { + "cell_type": "code", + "execution_count": 421, + "id": "5d524ab2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'remote event distance')" + ] + }, + "execution_count": 421, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plot: single summary per rat weighted by number of events\n", + "\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt\n", + "\n", + "matplotlib.rcParams.update({'font.size': 16})\n", + "\n", + "all_summary_jump = []\n", + "all_summary_short_seq = []\n", + "all_summary_long_seq = []\n", + "all_summary_full_seq = []\n", + "\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 0\n", + "plt.rcParams['ytick.major.width'] = 2\n", + "plt.rcParams['xtick.major.width'] = 2\n", + "\n", + "for rat in ['pippin','tonks','ginny','ron','molly','arthur',]: \n", + "#for rat in ['tonks']:\n", + "\n", + " if rat == 'pippin':\n", + " lfp_summary_array = np.array([(pippin_total-pippin_arm_base)/pippin_total,\n", + " pippin_arm_base/pippin_total, pippin_med_traj/pippin_total, pippin_long_traj/pippin_total])\n", + " elif rat == 'tonks':\n", + " lfp_summary_array = np.array([(tonks_total-tonks_arm_base)/tonks_total,\n", + " tonks_arm_base/tonks_total, tonks_med_traj/tonks_total, tonks_long_traj/tonks_total])\n", + " elif rat == 'ginny':\n", + " lfp_summary_array = np.array([(ginny_total-ginny_arm_base)/ginny_total,\n", + " ginny_arm_base/ginny_total, ginny_med_traj/ginny_total, ginny_long_traj/ginny_total])\n", + " elif rat == 'ron':\n", + " lfp_summary_array = np.array([(ron_total-ron_arm_base)/ron_total,\n", + " ron_arm_base/ron_total, ron_med_traj/ron_total, ron_long_traj/ron_total])\n", + " elif rat == 'molly':\n", + " lfp_summary_array = np.array([(molly_total-molly_arm_base)/molly_total,\n", + " molly_arm_base/molly_total, molly_med_traj/molly_total, molly_long_traj/molly_total])\n", + " elif rat == 'arthur':\n", + " lfp_summary_array = np.array([(arthur_total-arthur_arm_base)/arthur_total,\n", + " arthur_arm_base/arthur_total, arthur_med_traj/arthur_total, arthur_long_traj/arthur_total])\n", + "\n", + " all_summary_jump.append(lfp_summary_array[0])\n", + " all_summary_short_seq.append(lfp_summary_array[1])\n", + " all_summary_long_seq.append(lfp_summary_array[2])\n", + " all_summary_full_seq.append(lfp_summary_array[3])\n", + " \n", + "num_bars = 6 \n", + "fig, ax = plt.subplots()\n", + "#theta - remove\n", + "#ax.bar(np.arange(num_bars), np.array(all_summary_theta), color = \"goldenrod\")\n", + "# jump\n", + "ax.bar(np.arange(num_bars), np.array(all_summary_jump), color = \"firebrick\",)\n", + "# short seq\n", + "ax.bar(np.arange(num_bars), np.array(all_summary_short_seq), color = \"silver\",\n", + " bottom = np.array(all_summary_jump))\n", + "# long seq\n", + "ax.bar(np.arange(num_bars), np.array(all_summary_long_seq), color = \"grey\",\n", + " bottom = (np.array(all_summary_jump)+np.array(all_summary_short_seq)\n", + " -np.array(all_summary_long_seq)-np.array(all_summary_full_seq)))\n", + "\n", + "# home seq\n", + "ax.bar(np.arange(num_bars), np.array(all_summary_full_seq), color = \"black\",\n", + " bottom = 1-np.array(all_summary_full_seq))\n", + "\n", + "ax.spines['top'].set_linewidth(2)\n", + "ax.spines['right'].set_linewidth(2)\n", + "ax.spines['bottom'].set_linewidth(2)\n", + "ax.spines['left'].set_linewidth(2)\n", + "\n", + "plt.title('remote event distance')\n", + "#plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 419, + "id": "7fdb1d1b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'events: arm base 1 bin')" + ] + }, + "execution_count": 419, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# visual field - ie 1 bin arm base\n", + "\n", + "all_summary_jump = []\n", + "all_summary_short_seq = []\n", + "all_summary_long_seq = []\n", + "all_summary_full_seq = []\n", + "\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 0\n", + "plt.rcParams['ytick.major.width'] = 2\n", + "plt.rcParams['xtick.major.width'] = 2\n", + "\n", + "# 1 bin at arm base\n", + "all_summary_jump = np.array([pippin_arm_base_1bin/pippin_total,tonks_arm_base_1bin/tonks_total,\n", + " ginny_arm_base_1bin/ginny_total,ron_arm_base_1bin/ron_total,\n", + " molly_arm_base_1bin/molly_total,arthur_arm_base_1bin/arthur_total])\n", + "all_summary_full_seq = 1 - all_summary_jump\n", + " \n", + "num_bars = 6 \n", + "fig, ax = plt.subplots()\n", + "\n", + "# all other areas\n", + "ax.bar(np.arange(num_bars), np.array(all_summary_full_seq), color = \"red\",)\n", + "# 1 bin arm base\n", + "ax.bar(np.arange(num_bars), np.array(all_summary_jump), color = \"grey\",\n", + " bottom = np.array(all_summary_full_seq))\n", + "\n", + "ax.spines['top'].set_linewidth(2)\n", + "ax.spines['right'].set_linewidth(2)\n", + "ax.spines['bottom'].set_linewidth(2)\n", + "ax.spines['left'].set_linewidth(2)\n", + "\n", + "plt.title('events: arm base 1 bin')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 417, + "id": "16118448", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'reward well')" + ] + }, + "execution_count": 417, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# events with reward well posterior\n", + "\n", + "all_summary_jump = []\n", + "all_summary_short_seq = []\n", + "all_summary_long_seq = []\n", + "all_summary_full_seq = []\n", + "\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 0\n", + "plt.rcParams['ytick.major.width'] = 2\n", + "plt.rcParams['xtick.major.width'] = 2\n", + "\n", + "# reward well\n", + "all_summary_jump = np.array([pippin_arm_end/pippin_total,tonks_arm_end/tonks_total,\n", + " ginny_arm_end/ginny_total,ron_arm_end/ron_total,\n", + " molly_arm_end/molly_total,arthur_arm_end/arthur_total])\n", + "all_summary_full_seq = 1 - all_summary_jump\n", + " \n", + "num_bars = 6 \n", + "fig, ax = plt.subplots()\n", + "\n", + "# not reward well\n", + "ax.bar(np.arange(num_bars), np.array(all_summary_full_seq), color = \"salmon\",)\n", + "# reward well\n", + "ax.bar(np.arange(num_bars), np.array(all_summary_jump), color = \"maroon\",\n", + " bottom = np.array(all_summary_full_seq))\n", + "\n", + "ax.spines['top'].set_linewidth(2)\n", + "ax.spines['right'].set_linewidth(2)\n", + "ax.spines['bottom'].set_linewidth(2)\n", + "ax.spines['left'].set_linewidth(2)\n", + "\n", + "plt.title('reward well')\n" + ] + }, + { + "cell_type": "markdown", + "id": "79764323", + "metadata": {}, + "source": [ + "## Figure S3" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "88bde00b", + "metadata": {}, + "outputs": [], + "source": [ + "# figure S3A" + ] + }, + { + "cell_type": "code", + "execution_count": 259, + "id": "be98f605", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.0, 80.0)" + ] + }, + "execution_count": 259, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# head direction reward counts\n", + "ginny_head_dir = [75, 75, 75, 75, 43, 75, 75, 75, 75, 71, 75, 75]\n", + "tonks_head_dir = [75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75]\n", + "pippin_head_dir = [75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75]\n", + "ron_head_dir = [75, 75, 75, 75, 75, 75, 10, 75, 75, 75, 75, 75]\n", + "molly_head_dir = [67, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75, 75]\n", + "arthur_head_dir = [75, 75, 75, 75, 75, 75, 67, 75, 75, 75, 75, 75]\n", + "\n", + "# just make one cell with all 6 plots - include titles\n", + "\n", + "reward_count_list = pippin_head_dir\n", + "plt.figure(figsize=(2,4))\n", + "plt.scatter(np.arange(len(reward_count_list)),reward_count_list,s=15,c='k')\n", + "plt.title('Rat 1 - pippin')\n", + "plt.ylim(0,80)\n", + "\n", + "reward_count_list = tonks_head_dir\n", + "plt.figure(figsize=(2,4))\n", + "plt.scatter(np.arange(len(reward_count_list)),reward_count_list,s=15,c='k')\n", + "plt.title('Rat 2 - tonks')\n", + "plt.ylim(0,80)\n", + "\n", + "reward_count_list = ginny_head_dir\n", + "plt.figure(figsize=(2,4))\n", + "plt.scatter(np.arange(len(reward_count_list)),reward_count_list,s=15,c='k')\n", + "plt.title('Rat 3 - ginny')\n", + "plt.ylim(0,80)\n", + "\n", + "reward_count_list = ron_head_dir\n", + "plt.figure(figsize=(2,4))\n", + "plt.scatter(np.arange(len(reward_count_list)),reward_count_list,s=15,c='k')\n", + "plt.title('Rat 4 - ron')\n", + "plt.ylim(0,80)\n", + "\n", + "reward_count_list = molly_head_dir\n", + "plt.figure(figsize=(2,4))\n", + "plt.scatter(np.arange(len(reward_count_list)),reward_count_list,s=15,c='k')\n", + "plt.title('Rat 5 - molly')\n", + "plt.ylim(0,80)\n", + "\n", + "reward_count_list = arthur_head_dir\n", + "plt.figure(figsize=(2,4))\n", + "plt.scatter(np.arange(len(reward_count_list)),reward_count_list,s=15,c='k')\n", + "plt.title('Rat 6 - arthur')\n", + "plt.ylim(0,80)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9a9d40a4", + "metadata": {}, + "outputs": [], + "source": [ + "# Figure S3B and S3C" + ] + }, + { + "cell_type": "code", + "execution_count": 142, + "id": "aa624121", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 142, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# load and plot posterior - example 1 - arm 1\n", + "\n", + "import pickle\n", + "\n", + "file_name = '/stelmo/mcoulter/coulter_all_figures/figure_1c_1_posterior.pkl'\n", + "file = open(file_name,'rb')\n", + "posterior_to_plot = pickle.load(file)\n", + "file.close()\n", + "file_name = '/stelmo/mcoulter/coulter_all_figures/figure_1c_1_summed_line.pkl'\n", + "file = open(file_name,'rb')\n", + "decoded_values = pickle.load(file)\n", + "file.close()\n", + "\n", + "matplotlib.rc('xtick', labelsize=14) \n", + "matplotlib.rc('ytick', labelsize=14) \n", + "\n", + "posterior_to_plot_reset = posterior_to_plot.reset_index()\n", + "\n", + "posterior_offline1 = posterior_to_plot.iloc[:,27:68]\n", + "posterior_offline2 = posterior_offline1.fillna(0)\n", + "post_heatmap = posterior_offline2.transpose()\n", + "post_heatmap = post_heatmap.iloc[::-1]\n", + "\n", + "# size for individual reward events: (5,6)\n", + "matplotlib.rcParams.update({'font.size': 12})\n", + "gs_kw = dict(height_ratios=[1])\n", + "fig, axd = plt.subplot_mosaic([['lower']],\n", + " gridspec_kw=gs_kw, figsize=(6,6),\n", + " layout=\"constrained\")\n", + "sns.set_style(\"whitegrid\", {'axes.grid' : False})\n", + "\n", + "fig.suptitle('Tonks 11-4')\n", + "\n", + "axd['lower'] = (sns.heatmap(post_heatmap,vmin=0.1, vmax=0.5,cmap='bone_r'))\n", + "axd['lower'].hlines([30,14], lw=1, color='k',alpha=1,linestyles='dashed',*axd['lower'].get_xlim())\n", + "axd['lower'].plot(np.arange(0,posterior_to_plot_pos.shape[0]),\n", + " 41-posterior_to_plot_pos['real_pos'].values,alpha=1,color='green',lw=2) \n", + "axd['lower'].tick_params(axis='both', length=5, width = 2)\n", + "#axd['lower'].vlines(ripple_end_plot,lw=0.5,color='w',*axd['lower'].get_ylim())\n", + "axd['lower'].hlines([41-0.2,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].vlines([posterior_to_plot.shape[0]-0.2,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "#axd['lower'].vlines([posterior_to_plot_pos.shape[0]/2], lw=1, color='r',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].scatter(posterior_to_plot.shape[0]/2,\n", + " 41-10,s=30,color='r')\n", + " \n", + "# line plot\n", + "#decode_values = rewarded_representation_1.values\n", + "pos_list = np.arange(41)\n", + "decoded_values[decoded_values == 0] = 'nan'\n", + "\n", + "plt.figure(figsize=(6,2))\n", + "plt.plot(pos_list,decoded_values,color='mediumpurple',linewidth=2)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 151, + "id": "7770affd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 151, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# load and plot posterior - example 2 - arm 1\n", + "\n", + "import pickle\n", + "\n", + "file_name = '/stelmo/mcoulter/coulter_all_figures/figure_1c_3_posterior.pkl'\n", + "file = open(file_name,'rb')\n", + "posterior_to_plot = pickle.load(file)\n", + "file.close()\n", + "file_name = '/stelmo/mcoulter/coulter_all_figures/figure_1c_3_summed_line.pkl'\n", + "file = open(file_name,'rb')\n", + "decoded_values = pickle.load(file)\n", + "file.close()\n", + "\n", + "matplotlib.rc('xtick', labelsize=14) \n", + "matplotlib.rc('ytick', labelsize=14) \n", + "\n", + "posterior_to_plot_reset = posterior_to_plot.reset_index()\n", + "\n", + "posterior_offline1 = posterior_to_plot.iloc[:,27:68]\n", + "posterior_offline2 = posterior_offline1.fillna(0)\n", + "post_heatmap = posterior_offline2.transpose()\n", + "post_heatmap = post_heatmap.iloc[::-1]\n", + "\n", + "# size for individual reward events: (5,6)\n", + "matplotlib.rcParams.update({'font.size': 12})\n", + "gs_kw = dict(height_ratios=[1])\n", + "fig, axd = plt.subplot_mosaic([['lower']],\n", + " gridspec_kw=gs_kw, figsize=(6,6),\n", + " layout=\"constrained\")\n", + "sns.set_style(\"whitegrid\", {'axes.grid' : False})\n", + "\n", + "fig.suptitle('Tonks 11-4')\n", + "\n", + "axd['lower'] = (sns.heatmap(post_heatmap,vmin=0.1, vmax=0.5,cmap='bone_r'))\n", + "axd['lower'].hlines([30,14], lw=1, color='k',alpha=1,linestyles='dashed',*axd['lower'].get_xlim())\n", + "axd['lower'].plot(np.arange(0,posterior_to_plot_pos.shape[0]),\n", + " 41-posterior_to_plot_pos['real_pos'].values,alpha=1,color='green',lw=2) \n", + "axd['lower'].tick_params(axis='both', length=5, width = 2)\n", + "#axd['lower'].vlines(ripple_end_plot,lw=0.5,color='w',*axd['lower'].get_ylim())\n", + "axd['lower'].hlines([41-0.2,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].vlines([posterior_to_plot.shape[0]-0.2,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "#axd['lower'].vlines([posterior_to_plot_pos.shape[0]/2], lw=1, color='r',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].scatter(posterior_to_plot.shape[0]/2,\n", + " 41-10,s=30,color='r')\n", + " \n", + "# line plot\n", + "#decode_values = rewarded_representation_1.values\n", + "pos_list = np.arange(41)\n", + "decoded_values[decoded_values == 0] = 'nan'\n", + "\n", + "plt.figure(figsize=(6,2))\n", + "plt.plot(pos_list,decoded_values,color='mediumpurple',linewidth=2)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 141, + "id": "1acf0f53", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 141, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# load and plot posterior - example 1 - arm 2\n", + "\n", + "import pickle\n", + "\n", + "file_name = '/stelmo/mcoulter/coulter_all_figures/figure_1d_1_posterior.pkl'\n", + "file = open(file_name,'rb')\n", + "posterior_to_plot = pickle.load(file)\n", + "file.close()\n", + "file_name = '/stelmo/mcoulter/coulter_all_figures/figure_1d_1_summed_line.pkl'\n", + "file = open(file_name,'rb')\n", + "decoded_values = pickle.load(file)\n", + "file.close()\n", + "\n", + "matplotlib.rc('xtick', labelsize=14) \n", + "matplotlib.rc('ytick', labelsize=14) \n", + "\n", + "posterior_to_plot_reset = posterior_to_plot.reset_index()\n", + "\n", + "posterior_offline1 = posterior_to_plot.iloc[:,27:68]\n", + "posterior_offline2 = posterior_offline1.fillna(0)\n", + "post_heatmap = posterior_offline2.transpose()\n", + "post_heatmap = post_heatmap.iloc[::-1]\n", + "\n", + "# size for individual reward events: (5,6)\n", + "matplotlib.rcParams.update({'font.size': 12})\n", + "gs_kw = dict(height_ratios=[1])\n", + "fig, axd = plt.subplot_mosaic([['lower']],\n", + " gridspec_kw=gs_kw, figsize=(6,6),\n", + " layout=\"constrained\")\n", + "sns.set_style(\"whitegrid\", {'axes.grid' : False})\n", + "\n", + "fig.suptitle('Tonks 11-11')\n", + "\n", + "axd['lower'] = (sns.heatmap(post_heatmap,vmin=0.1, vmax=0.5,cmap='bone_r'))\n", + "axd['lower'].hlines([30,14], lw=1, color='k',alpha=1,linestyles='dashed',*axd['lower'].get_xlim())\n", + "axd['lower'].plot(np.arange(0,posterior_to_plot_pos.shape[0]),\n", + " 41-posterior_to_plot_pos['real_pos'].values,alpha=1,color='green',lw=2) \n", + "axd['lower'].tick_params(axis='both', length=5, width = 2)\n", + "#axd['lower'].vlines(ripple_end_plot,lw=0.5,color='w',*axd['lower'].get_ylim())\n", + "axd['lower'].hlines([41-0.2,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].vlines([posterior_to_plot.shape[0]-0.2,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "#axd['lower'].vlines([posterior_to_plot_pos.shape[0]/2], lw=1, color='r',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].scatter(posterior_to_plot.shape[0]/2,\n", + " 41-10,s=30,color='r')\n", + " \n", + "# line plot\n", + "#decode_values = rewarded_representation_1.values\n", + "pos_list = np.arange(41)\n", + "decoded_values[decoded_values == 0] = 'nan'\n", + "\n", + "plt.figure(figsize=(6,2))\n", + "plt.plot(pos_list,decoded_values,color='deepskyblue',linewidth=2)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 139, + "id": "b89f224c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 139, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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ISGvzWiazAGZGSFIzyhF1BU47/VNhw/u1dOAmtINSiD2NNNg4ipKSEoqLi4OOvxAREYmFM1VQ4TXbLS2D2AanwQjfaqd/uwTnG8gktLSHBZjprR18wVCbLIWMHz8egB07dtR7bOfOnQBMmDAhAqclIiLScpGcERJotq8cYgFvFwXfJxIZC4fD/9w2WQqZNGkS/fr1Y8uWLRw6dKjm/rKyMtasWYPT6WTu3Lk19xcVFXHs2DGKihr4VxcREYmiaAUWoXThjERgAf5yyAW3acoV78LqvOl0OnnsscdYuHAh8+bNY+bMmbhcLrZt20ZeXh7Lli1j0KBBNfuvXbuW1atXs2TJEpYuXVrrWA8//HDN9vnz5+vd99BDD9G1a9dm/VAiIiJQZ7n0CAYWEztD9xTzZr+tGCq90KHOR/VIlEKg9gDOs1XQP0IlnWgJeymWiRMnsm7dOlauXMnWrVtrFiF78MEHmT17dsjHefPNNxu9b8mSJQosRESkRWqtahrBN+RkB9zWFX5bAGXV8N5FuLXOW1akMhZ1Z4a0ucAC4LrrruPVV19tcr+lS5fWy1TYtJKpiIhEmx1YOIBBEX5DntXNBBZgpp1GK7BItJkh6mMhIiJtlh1Y9OkAHZMje+xbu0Kqb8bGn4J04bRLISkOM7ujuRKtSZYCCxERaZNKPFDoMdstWXysIRlO+IcuZvtUJRy4XPtxO2PRK9XM7miuWhkLBRYiIiKxEbhGSEuWS29MYBfOwNkh1Rac97Xzbm7XTVutMRYqhYiIiMRGtKaaBmqoC+cFN9gzQ1syvgJUChEREYkLgYuPRaMUAjCgI4zuZLZ3l8JZX0YhUgM3wSy3nuIrpagUIiIiEiOtUQoBfxdOgLd8/SAj1cMCzPomdnByWqUQERGR2GiNUgjUKYf4xllEMmMB/nLIeTd44rz7pgILERFpk+xSSGYydG3BdM+mjM/wD9DcVgxXqiMfWNgzQyygwN3y40WTAgsREWlz3F445QssBqe1bLpnU5IcMMNXDrnihb9cjGwpBOoM4IzzcogCCxERaXNyK/yzMqI5vsI2u045JFqlEIj/AZwKLEREpM1pjRkhgaZmQQdfVmRLYe3AIhIZi8AmWbkVDe8XDxRYiIhIm9NaAzdtnZLhq1lmO78KPrhktjsmQecItBIf4/JvB/bLiEcKLEREpM053sqBBdTuwlnhq8Nc1cJ23raxLv8ian8phvNxXA5RYCEiIm1OYCkkksulN2Zmt/r3tbSdt83hgDt7mO1qYPOFRnePKQUWIiLS5tilkBQH9GulwKJvR5NZCBSJgZu2b/f0b284F7njRpoCCxERaVMsy18KGdgRkqM41bSuWXWyFpEMLMa4YIivrPPexdpTWuOJAgsREWlTzlTBZd8Yh9Yqg9gCu3BCZGaE2BwO+LavHOIFNp2P3LEjSYGFiIi0Kf960r89qlPrvvZYF/QOCCYimbEAuDOgHLI+TsshCixERKTN2FoIr5wx252SYEmf1n19h6P2IM6rIxxYjO4E16ab7fdL4rMLpwKLOPRf5+GNOI1ERUTiVbEbFh7xf//MEBjUSlNNA/1LPxNQXNcJvtY1sscOnB1iEZ/lEAUWceY/z8Dcg3DHJ/C7s7E+GxGRxPHPn8Fp34DGaVlw79WxOY9h6ZA/CfaNM42zIi3eyyEKLOJIoRtWHPN//8Qp8FqxOx8RaR883vhvE92UN8/DawVmOzMZ/mN4dBcea4rDYRYni4ZRnWCUrxyy8xLkxdm1U2ARR354DAo9/u8PlcN/F8XufESkfbh1PwzMhoeONb1vPDpfBfcd9X+/cqjpKdGWBWYtNsZZOUSBRZzYWQL/4St9BGbOnv48JqcjIu2I3Uzqqc/N4MdEYlmw6Cicd5vvb+8G3+sV23NqDfY4C4ANCiykLrfX/GLYnhkCQ30Djv56ET4sjclpiUg78X8G+LfvOQJF7tidS7hePwebfO2tuznh5RiXQFrLtZ3M4FCA7EvxVcpSYBEHVubDgctme6zLTI/6l37+x5W1EJFouvdqmO6bvXCmCh74NLbnE6rTlbXP9VfDItuQKt4FtvjeGEeDOBVYxNjnFfDTE2bbAbw0zLSfnd8LevgWr9l4Dk5eafAQIiIt4nCYwY5ZTvP96+fic7ZBIMuCe49AsW9c2l094Y6ejT+nrbkjoByyPo7KIQosYmz5Z/7Ws/f3hvGdzXZasr+xSzXwQn5MTk9E2oneHWDNUP/3i4+2rPnS+xfhviPwXnGLTy2oX5+Ft3yD269KhdVDG9+/LRqaDjf4Fj3bW1p7qfhYUmARQ1sL/bXBninw+KDajy/uDR19V+iV06b5i4hItNzVyz8osMhjmk1ZzZjy/vsCuOXv8O9n4Kt/h5ci/MEotwKWfeb//t+HQbcILU+eaOJxxVMFFjFypRqWBNQGnx4MWXV+MbqnwvevMtuXvfDy6dY7PxFpn9YM869vsbUIXj0T3vN/lQ/fPQQeX0DiBRZ9aqbTR6Ivj9eCuw9DabX5/vtX1V/4qz25Iw5nhyiwiJGfn4LjvlG8/9AF/rGB6VE/6GvGXoAZ5FnpbY2zE5H2qluKGW9hW/5ZaCl2y4IncmHxp6bVNMC4DP/jT34O3/kEKqpbdn6/Og1/uWi2+3WA54a07HiJ7po0GO/7d95XBp+Wx/Z8QIFFTBwph1+eMtspDlPXbGh61JB0mOuLxs9UmRSjiEg03dYN/snXDvuyFxYchupGsg2WBT88Dj864b/v4f6weyy8ONT/RrPhPEz9O1yoat55fXK5dhOv/zccMp3NO1ZbEm89LRRYtDLLMoOi3L5f0hX9YEQTy/quqDP1tDk1TxGRcDwzGAb5ulfuKIHnGpj2Xm2ZrpdPBTz+i2vgiWvMB6bFfeCPo81Ko2BaUH9xH3wWxifrTy7DgkNw/V4o92VtF/WGqRFe4CtR3RFn4ywUWLSy35/zp/EGdIBHBjS6OwCTMuGLvtkiB9XmW0RaQYYTfnOtvxT74xPwcVntfaq8MO8T/zLlDuDlYfDD/rX3m9EN/ucG/9iNT6/ApH3wt5LGz2HXJZhzAEbtgd8W+MdtXJsOT17Tkp+ubRnQESb63iP2X4bDl2N7PgosWtFFN/wgYCTzqqGQHuLKd/9bDbNEpJXd3MXfrK/KgvmHTTABUF4Nt3/sT707HfD7kXBv7+DHujEDdo31L551wW1mjtRd9tuy4M9FcEsOTPwI/hDQYjzLCf93AHxwA7hUAqklnsohDstqP4n16upqcnJyGDNmDMnJUVjLtglLP4XVvmlXt3eD/xod+nOrLRix20T6AB/eCGMzGn9OoinzwHsXzViSud3NrJi2otBt/hBXeM0A3AovVFp1vveaP97XdYIb2ti1lcRVUQ3jPjTZUjBZ1n/pCzMPmLIGQFoSbBoFX+/W9PEuuuGbB/2ZWwfw1GBY1tesUPqLU/BhncxI71QT4PzT1SaTIvXlVUC/bLM9Mh0OToj8a4T6HqrAopV8WAoTPjRTr9KT4NAE6B/m6nsv5ZtpWwDzesLakRE/zVbltcwo5neKYFsRfHDJP/bkOz1hXYL/fLZvfgybL4T3nOld4dGBMKFzVE5JJCwflcJNH5lSRBIwLB0O+wKNzsmwZbTJboSqymu6Zv4mYDD6Valwts6gzqFp8FA/+N5V0EH59SZN+cgf7H083iyvHkmhvofqUkVZsRt+dhKm/d0EFQA/HRh+UAGw4Cro7ut1sf5cfC06E6r8SvjPM2baWa8PzCehH5+A/ynxBxVgPqG0BVeq4a1mrBb530XmD/msA+aPukgsjc0wJQgwf8fsoKJHCvx1THhBBUBqEvz6WhM82wKDihtcsGGk+QC2sLeCilAFNsuKZUt2ZSyi5FwVPJcHL+b7G7kAfKETfHQjpDTzF+XRk/CvJ8328r7wbJzO4S6vhhMVZv778Qozt/q9i/50ajCDO8K0rubT+qxubWeFwg3nzNoLyQ7TSbWD/TWp9teOSXDFaxoM5dZppXx7N/jXgTBGJRKJEY8XJu+D3b5At18H+PP1MDy9Zcf97VnT4dNtmZ4+D/eHaVlt5/e/NZ2uhL5/M31EhqeZwCyS/45RLYXs37+fVatWkZOTg9vtZsiQISxYsIBZs2aFfAyv18u6detYv349ubm5pKenc9NNN7F8+XIGDhwY7imFpDUCi/xKeOqUaWV7JaCZVTIwrxf88hq4ukPzj3++Cvpnm5q8Kxk+nwhdYtDKtrwaCqogr9IEDnYAYX+tm9IMpnMyfDXL/BH5WlcYnBb9804EVV6zDsJjuebfN9A3u5sA4wuuyL/muSqzoNOAjtC5DdSxyzywqxSOXTEZsMFpZvpkx9YfXtVmHLsCdxyETsmwdkTzMq/B5FWYfhktDVIE/mGfyQAD5IyD6yP4tyJqgcWuXbu45557SElJYcaMGWRkZLBt2zby8vJYvnw5999/f0jH+clPfsKGDRsYMmQIX/7ylyksLOTtt9+mQ4cOvP766wwZEvmP4tEMLI5fMU2v/vOsGYBnS3XA/7rKTL+6JkJvnIuOwku+9t6/vAYe6t/4/mBGWldZ4PaaOqnbauCr12xfcJvgoKHbpWZ0z0vCjBmYlmUyExMymp+5aQ8qvaad8s9z4XRAoObAjAD/yUAzZdlt+W+B1zDw2l70mEAw8BoGfl/kqf3aQ9JMOrrmlhH/y1Gfr4KdJfC+7/ZRqVnAr64+viBjcBpc09H3Nc1kzLql6JOyJLY1+f6l5H/UHx6P4LTcqAQWHo+Hr3/965w9e5b169czcqQZXVdWVsZdd93FiRMneOutt5rMOGRnZ7NgwQLGjRvHr3/9a1JTzV+sv/3tb3z/+99n3LhxvPbaa6GeVsiiEVgcvmzac68rqP1HLC0J7uttmlv1aUGGIphPy2H4bpPu6p0KJyaamiWYAKKgypQcDl723z4p9y8vHG1XpZo/2Nek1f76hU7110ORplVUmwzYE6dCywRFy9WpMCYg2BiabqYYOh0mI5dsbzsCtjFf05MhKYJv2JYFJytM4yY7kDjcSJktVJ2T/UFGYMAxOM2k/p0KhCXOFVRB7w/MWJjhaXD4psgdO9T30LASntnZ2Zw6dYpvfOMbNUEFgMvlYvHixSxfvpzNmzfzgx/8oNHjbNy4EYBly5bVBBUAkyZNYsqUKbz//vucOHGCQYMGNXSIuLDnEty8z0wbtGX4ljtf1hd6RukT3tB0mNMd3rxgPsku+dRkAz7xBRN1P31GUudkEzgE3gIDiIEdTZpUIqdjMvxzX1h4tclU/fIUnIvQSrfpSf7r2CvV/P89XG6a7FTUWZfmTBWcKTILU4UrCdN6Ocu+pZivXercl5ZkxiRd8pisWENfi91Q2MT/85HpcHMmXOcyAdmxK+Z2vALON/Dvd6kacsrMrS6nw2SIrkkzDZqW9Y1cFlIkUnqlmoZkfyr0TxhobWEFFrt37wZgypQp9R6bPHlyrX0as2vXLtLT0xk7dmy9x+zAYs+ePXEfWBwq9wcVXZ3mD82SPq3zqXxFPxNYgL/rXWP6djD15Q5J5g9kiiP4V6fDlCe6OusHEL1SQ2/oJZGXngw/6GcyYb/Kh23FJmuVUuc6pgRcY/vmSjZje3ql1L6eruTgqX+PF45cgX2l5k12n+/W3KyXF/PcaGXNnA640WVmJ9ycCZMzG19G+5LHPx7IDjiO+cYI5VYEL6F4LLPPsQr4c7Epteyo/ydMJOZ+fS28VgC3ZsXm9cMKLE6ePAnAgAH1+1BnZmaSlZVFbm5uo8coLy/n/PnzDBs2LGgqxS6j2K8Vz77by9SuUx1mddLW7AT3xUz4UiZsr9MSt0+qmbtcc0s3a5FooZ62o1MyrOhvbtHiTPL/H/pH332WBacqTbCxr8xky6qtgBvmzdf+3t52W/4sQ7HH/M4095NUMub/ckayydzdnGluEzqHlynr7DQzbILNsnF74fPK2hmOwOCjzBd1jIxwjwCRSOmWAg/2jd3rh/V2U1Zm8oMZGcHnvLlcLs6ePdvoMUpLS2v2begYga8Vz5IdJkUdKxtHwe8KTHliVCeT+o3FDBFpHxwOM2NkQEeY06Pp/RtiWabcUezxBxv2rcJr/j93dgb/2jEp+oMrU5J85b00+FqQc7/gNsHFwAjNiBBpa/Q5NoH1TPX38RdJFA6HL1BwmiAlkTgc0CMVWhBXibR5YY1xtrMJdtahrrKysgazGTb78YYyEvb9DWU0REREJH6FFVjY4x+CjaMoKSmhuLg46PiLQOnp6fTo0YO8vDyqq+sPkbLHVkSrSZaIiIhET1iBxfjx4wHYsWNHvcd27twJwIQJTS+pNmHCBMrLy/noo4/qPWYf234tERERSRxhjbGYNGkS/fr1Y8uWLcyfP58RI0YApnyxZs0anE4nc+fOrdm/qKiI4uJisrKy6Nq1a839d955J2+99RbPP/98vQZZO3bsYPz48VGZamr3AguWKREREZGG2e+dTfXVDLuld3Z2NgsXLiQlJYWZM2ficrlqWnovW7aMRYsW1ey7atUqVq9ezZIlS1i6dGmt4zzyyCNs3LixVVt6V1VVceDAgYgfV0REpL0YPXp0reaWdYU9K2TixImsW7eOlStXsnXr1ppFyB588EFmz54d8nF+9rOfMXz4cNavX8/vfvc70tPT+cpXvsLy5cuj1hjL6XQyevRokpKScGhBABERkZBZloXX68XpbDx0aFfLpouIiEh0aUkdERERiRgFFiIiIhIxCixEREQkYhRYiIiISMRorZBm2r9/P6tWrSInJ6dmZsyCBQuYNWtWrE+tXfnDH/7Ahx9+yMcff8zRo0dxu9088cQTfOMb3wi6f1lZGatWrWLbtm2cP3+eHj16MG3aNJYuXao28lFSUFDA1q1b2b59O8ePH+fChQtkZmYyduxYFi5cyPXXX1/vObpOre/SpUusXLmSAwcOkJeXR0lJCVlZWQwaNIjvfve7TJs2rd5sOl2n2HvllVd4+umnAVi/fj1jxoypt09rXyfNCmmGXbt2cc8995CSksKMGTPIyMio6eWxfPly7r///lifYrtxyy23kJ+fT1ZWFunp6eTn5zcYWJSXlzNv3jwOHTrE5MmTGTlyJIcPH+b9999nxIgRrFu3jvT09Bj8FG3b008/zSuvvEL//v0ZP3483bp1Izc3l3fffRfLsnjmmWe47bbbavbXdYqN3Nxc5syZw/XXX0///v3p0qULhYWF/PWvf6WwsJA777yTf/u3f6vZX9cp9o4dO8acOXNwOp2Ul5cHDSxicp0sCYvb7bamTp1qfeELX7AOHjxYc39paak1Y8YMa+TIkdaJEydid4LtzM6dO628vDzLsizr5ZdftoYNG2Zt2rQp6L4vvPCCNWzYMOvJJ58Mev8LL7wQ9fNtj9555x1rz5499e7fs2ePNWrUKGvChAlWZWVlzf26TrHh8Xgst9td7/7S0lLrtttus4YNG2YdPXq05n5dp9jyeDzWN7/5Tetb3/qWtWLFCmvYsGHWvn376u0Xi+ukMRZhys7O5tSpU8ycOZORI0fW3O9yuVi8eDEej4fNmzfH8Azbly9+8Yv06dOnyf0sy2Ljxo2kp6fzwAMP1HrsvvvuIzMzkzfeeKPJVrUSvmnTpjFu3Lh6948bN46bbrqJixcvcuTIEUDXKZaSk5ODNj5yuVxMmTIF8C9AqesUe6+88gqHDx/m5z//OcnJyUH3idV1UmARpt27dwPU/KIFmjx5cq19JH6cPHmSc+fOMXbs2Hppvw4dOjBu3DgKCgqCrtwr0WO/kdlfdZ3iT2VlJdnZ2TgcjpqlFnSdYuvo0aOsXr2aRYsWMXTo0Ab3i9V10uDNMNnLugdbHj4zM5OsrCz9MsUh+5oMHDgw6OP29czNzW1wH4ms06dP88EHH9CjRw+GDRsG6DrFg0uXLvGb3/wGr9dLYWEh27dv58yZMyxZsqTm31zXKXY8Hg8PP/wwgwcP5t57721031hdJwUWYSorKwMgIyMj6OMul4uzZ8+25ilJCEpLSwEaHAFt32/vJ9Hldrt56KGHqKqqYsWKFTWpXF2n2Lt06RKrV6+u+T4lJYWHHnqIu+++u+Y+XafYeemllzhy5AgbNmwgJSWl0X1jdZ0UWIhIq/J6vfzoRz9iz5493HnnncyZMyfWpyQB+vbty5EjR6iurubMmTO8/fbbPPfcc+zbt4/nn3++yQWoJHoOHz7MSy+9xN13382oUaNifToN0hiLMDUV4ZWVlTWYzZDYsa+JnXGqq6lMlESGZVk88sgj/PGPf2T27Nk8+uijtR7XdYofycnJ9O3bl3vvvZdly5bx5z//mQ0bNgC6TrHywx/+kH79+rF06dKQ9o/VdVJgEaa6NcZAJSUlFBcXBx1/IbFlXxN7jExd9vXUtYseO1OxadMmZs6cyS9+8QuSkmr/CdJ1ik/2YHV7YLquU2wcPnyY48ePM3r0aIYPH15ze/PNNwH49re/zfDhw3n33XeB2F0n5bTCNH78eF5++WV27NjBjBkzaj22c+dOACZMmBCLU5NGDBw4kJ49e/LRRx9RXl5ea4R0ZWUle/fupWfPnvpDGCVer5cf//jHbN68mdtuu40nn3wy6BQ5Xaf4VFBQAFBzzXSdYuNb3/pW0Pv37t3LyZMnueWWW+jatWvNFPxYXSdlLMI0adIk+vXrx5YtWzh06FDN/WVlZaxZswan08ncuXNjeIYSjMPh4I477qC8vJwXX3yx1mMvv/wyJSUl3HHHHfVaFkvLBQYV06dP56mnnmpw3r2uU+wcOnQoaIn34sWLPPfccwB86UtfAnSdYuXxxx8PervhhhsA05vi8ccfZ8SIEUDsrpNaejdDdnY2CxcuJCUlhZkzZ+JyuWpaei9btoxFixbF+hTbjY0bN/Lhhx8CZm73wYMHGTt2bE0EPnXqVKZOnQrUb207atQoDh8+zPbt29WCOIpWrVrF6tWrSU9PZ/78+UEH/02dOrXmj6GuU2w8/vjjvPHGG9x000307t2btLQ0Tp8+zXvvvUd5eTm33norzz//fE35Stcpfjz88MO8+eabIbX0bo3rpMCimfbv38/KlSvrLUI2e/bsWJ9au2L/QjVkyZIltQY6lZaWsnr1at555x0uXLhA9+7dufXWW1myZIkGmkVJU9cIqLe+i65T69u7dy+bNm0iJyeHc+fOUVFRQWZmJiNHjmTOnDnMmDGj3idbXaf40FhgAa1/nRRYiIiISMRojIWIiIhEjAILERERiRgFFiIiIhIxCixEREQkYhRYiIiISMQosBAREZGIUWAhIiIiEaPAQkRERCJGgYWIiIhEjAILERERiRgFFiIiIhIxCixEREQkYv4/14Q4dsTpqbMAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# load and plot posterior - example 2 - arm 2\n", + "\n", + "import pickle\n", + "\n", + "file_name = '/stelmo/mcoulter/coulter_all_figures/figure_1d_2_posterior.pkl'\n", + "file = open(file_name,'rb')\n", + "posterior_to_plot = pickle.load(file)\n", + "file.close()\n", + "file_name = '/stelmo/mcoulter/coulter_all_figures/figure_1d_2_summed_line.pkl'\n", + "file = open(file_name,'rb')\n", + "decoded_values = pickle.load(file)\n", + "file.close()\n", + "\n", + "matplotlib.rc('xtick', labelsize=14) \n", + "matplotlib.rc('ytick', labelsize=14) \n", + "\n", + "posterior_to_plot_reset = posterior_to_plot.reset_index()\n", + "\n", + "posterior_offline1 = posterior_to_plot.iloc[:,27:68]\n", + "posterior_offline2 = posterior_offline1.fillna(0)\n", + "post_heatmap = posterior_offline2.transpose()\n", + "post_heatmap = post_heatmap.iloc[::-1]\n", + "\n", + "# size for individual reward events: (5,6)\n", + "matplotlib.rcParams.update({'font.size': 12})\n", + "gs_kw = dict(height_ratios=[1])\n", + "fig, axd = plt.subplot_mosaic([['lower']],\n", + " gridspec_kw=gs_kw, figsize=(6,6),\n", + " layout=\"constrained\")\n", + "sns.set_style(\"whitegrid\", {'axes.grid' : False})\n", + "\n", + "fig.suptitle('Tonks 11-11')\n", + "\n", + "axd['lower'] = (sns.heatmap(post_heatmap,vmin=0.1, vmax=0.5,cmap='bone_r'))\n", + "axd['lower'].hlines([30,14], lw=1, color='k',alpha=1,linestyles='dashed',*axd['lower'].get_xlim())\n", + "axd['lower'].plot(np.arange(0,posterior_to_plot_pos.shape[0]),\n", + " 41-posterior_to_plot_pos['real_pos'].values,alpha=1,color='green',lw=2) \n", + "axd['lower'].tick_params(axis='both', length=5, width = 2)\n", + "#axd['lower'].vlines(ripple_end_plot,lw=0.5,color='w',*axd['lower'].get_ylim())\n", + "axd['lower'].hlines([41-0.2,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].vlines([posterior_to_plot.shape[0]-0.2,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "#axd['lower'].vlines([posterior_to_plot_pos.shape[0]/2], lw=1, color='r',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].scatter(posterior_to_plot.shape[0]/2,\n", + " 41-10,s=30,color='r')\n", + " \n", + "# line plot\n", + "#decode_values = rewarded_representation_1.values\n", + "pos_list = np.arange(41)\n", + "decoded_values[decoded_values == 0] = 'nan'\n", + "\n", + "plt.figure(figsize=(6,2))\n", + "plt.plot(pos_list,decoded_values,color='deepskyblue',linewidth=2)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bb399a6b", + "metadata": {}, + "outputs": [], + "source": [ + "# Figure S3D" + ] + }, + { + "cell_type": "code", + "execution_count": 260, + "id": "36d40fb3", + "metadata": {}, + "outputs": [], + "source": [ + "# now need to load these files\n", + "# pippin\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_1e_rat1_arm1.pkl', 'rb')\n", + "prereward_pippin_arm1 = pickle.load(fileObj)\n", + "fileObj.close()\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_1e_rat1_arm2.pkl', 'rb')\n", + "prereward_pippin_arm2 = pickle.load(fileObj)\n", + "fileObj.close()\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_1e_rat1_head_dir.pkl', 'rb')\n", + "prereward_pippin_head_dir = pickle.load(fileObj)\n", + "fileObj.close()\n", + "# tonks\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_1e_rat2_arm1.pkl', 'rb')\n", + "prereward_tonks_arm1 = pickle.load(fileObj)\n", + "fileObj.close()\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_1e_rat2_arm2.pkl', 'rb')\n", + "prereward_tonks_arm2 = pickle.load(fileObj)\n", + "fileObj.close()\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_1e_rat2_head_dir.pkl', 'rb')\n", + "prereward_tonks_head_dir = pickle.load(fileObj)\n", + "fileObj.close()\n", + "# ginny\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_1e_rat3_arm1.pkl', 'rb')\n", + "prereward_ginny_arm1 = pickle.load(fileObj)\n", + "fileObj.close()\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_1e_rat3_arm2.pkl', 'rb')\n", + "prereward_ginny_arm2 = pickle.load(fileObj)\n", + "fileObj.close()\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_1e_rat3_head_dir.pkl', 'rb')\n", + "prereward_ginny_head_dir = pickle.load(fileObj)\n", + "fileObj.close()\n", + "# ron\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_1e_rat4_arm1.pkl', 'rb')\n", + "prereward_ron_arm1 = pickle.load(fileObj)\n", + "fileObj.close()\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_1e_rat4_arm2.pkl', 'rb')\n", + "prereward_ron_arm2 = pickle.load(fileObj)\n", + "fileObj.close()\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_1e_rat4_head_dir.pkl', 'rb')\n", + "prereward_ron_head_dir = pickle.load(fileObj)\n", + "fileObj.close()\n", + "# molly\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_1e_rat5_arm1.pkl', 'rb')\n", + "prereward_molly_arm1 = pickle.load(fileObj)\n", + "fileObj.close()\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_1e_rat5_arm2.pkl', 'rb')\n", + "prereward_molly_arm2 = pickle.load(fileObj)\n", + "fileObj.close()\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_1e_rat5_head_dir.pkl', 'rb')\n", + "prereward_molly_head_dir = pickle.load(fileObj)\n", + "fileObj.close()\n", + "# arthur\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_1e_rat6_arm1.pkl', 'rb')\n", + "prereward_arthur_arm1 = pickle.load(fileObj)\n", + "fileObj.close()\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_1e_rat6_arm2.pkl', 'rb')\n", + "prereward_arthur_arm2 = pickle.load(fileObj)\n", + "fileObj.close()\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_1e_rat6_head_dir.pkl', 'rb')\n", + "prereward_arthur_head_dir = pickle.load(fileObj)\n", + "fileObj.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 262, + "id": "4aeaf306", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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//34UCkW1r73llluIiYlh5MiR1Zru++677/Lqq68yZMgQAFQqFatXr2bAgAHVrsOVorBdjxOaqyE0NJSEhATq169PfHy8s6sjhBCijjCbzQQGBrJ3717CwsIcyqOgoIB27doxffp0+vXrd8m0OTk5WK1W3N3dUasvHhK6fft29u7dy6hRoxyqiyOq+h4qLSNCCCFELVCr1Zw5c8bhQASKp/pu2bKFW2+99ZLpioqKGDRoEJMnTy43EAHw8vLipZdeIiEhweH61BYJRoQQQohasHjxYnJyci47n4CAAI4fP87gwYOxWCwXPW61Wnn00UdRKBS88cYbFebTrFkzHnnkEV599dXLrlNNk2BECCGEqGEmk4mRI0eSn59fI/k1atSI8+fP89FHH1302JIlSzh69ChLly5Fq9VeMp8333yTP//8k4yMjBqpV02RYEQIIYSoYRs3biQkJISoqKgayU+tVvPNN9/w0UcfsWfPHvv53NxcBg8eTFxcHB4eHpXm4+fnx9GjR/H19a2RetUUCUaEEEKIGrZ06VJiYmJqNM+mTZvyySefkJycDMD3339Pt27dsNlseHp6VjkflUrFq6++ytKlS2u0fpdDVmAVQgghatjIkSNrpfXhkUceAWDKlCm89957rFq1CqWy+u0K0dHRPP/889x5553odLqarma1ScuIEEIIUYOSk5MJDw+/rFk0l5Kdnc3bb7/Nt99+S+fOnR3KY8CAAYSFhTFjxowarp1jpGVECCGEqEEfffQRCoWCyZMn10r+Xl5eZGdnX1YeCoWCqVOnMnPmzBqq1eWRlhEhhBCihthsNpYsWVLj40VqQ9u2bZk5cyYGg8HZVZFgRAghhKgpe/bswWQyER0d7eyqVInJZKJly5YcOnTIqfWQYEQIIYSoIQqFgokTJ1Z7UKnFBrtyYGs2XMlNWjQaDSNGjGD8+PFXrtBySDAihBBC1JC2bdvy+OOPVzm91QaLU+CGndDpL+i2B+44ALnmWqzkfzz//PMcOnSIVatWXblC/0OCESGEEKIGHDlyhPbt21dph12bDX5Og/a74N7DcKjg38dWZcDNeyG16PLrZLEVBzyXotfr+eKLL5w6xVdm0wghhBA1YOnSpbRv3x6FQlFhGputONh44wzsyq04r9150GMPrG4DDfXVr4vNBt8mw4RTkFQE3b3gHn+42x8iy8nvzjvvrH4hNUhaRoQQQogacKlVV202+D0Duv/TDXOpQKTE8cLi9AfzqlePdBPcdxiGHYWEIrAAm7Lh+ZPQaHtxl9Cbp2FP7pUdn3IpEowIIYQQlykvLw+1Wk2fPn0uemxTFvTaC7fsh60VbOLb3BW+aALh/+kpuVAEPffCH1VcVmR1BrTeCYtTK06zPx/ePgvtd0PDbTDuBGzIBLO1amXUBglGhBBCiMvk7u7O9u3by4y7MFjg3kNw097ilonyNNHDt83hQCcYXR/+bA+t3MqmyTLDLftgRXrF5RdY4OkTcNt+SKzGWJNzRpieAL33QdCf8MLfUGip+vU1RYIRIYQQ4jI999xznDp1qsy5l05V3EIR4QLzouBwJ3gwCFT/DDOpp4NNbaH7f/a9K7TC3QdgftLFee3OhQ674dOEix/zVcPHjWBEMPhrLv0cMszwcTz83+lLp6sNEowIIYQQlyExMZHZs2cTGBhoP3e8AL64cHHaBjqY3RSOdYZHQ0BdzruwjwbW3AB3/mefPQvwyFH4+Hzxz2YrvHsGuvwFRwv+mwvc5gsHO8FzDeDLZpDUrTjQeT4UIl0qfj778yt7xjVPZtMIIYQQl2HZsmXccsstuLu728+9egrMpQaH6hTwcWN4LAR0VWgGcFXBT63g8WMwP7nsYy+chNOG4haR8sag6JUwuRE8WQ9KT+xRKaCnd/HX5EZwKB+WpRV/7f5nkKwSeCy4qs+85kgwIoQQQlyG5cuXM2TIEPvPf2bDkrSyaZ4NhafqVy9fjRLmNYMADUyJL/tYeV0yAB09isegRLleOm+FAlq5F3/9X0M4Z4B9eRDuAm3cL31tbZBgRAghhLgMP/74o335d5sNXjxZ9nE/NbwS5ljeSgVMagSBWnj51CXSAa+Fw+vhxUFMdYW5FH85iwQjQgghhIO2bduGVqulffv2APyUBn/+p+vk9YbgXcng0UtRKOClsOIBqE8cg//OwG3kUtwa0sXL8TKcTQawCiGEEA5677332LVrFwAmK7zyn9aLSJfisRs1YUQILG0FLqXeuUeGwN6OdTsQAWkZEUIIIRySm5vLunXriI2NBWB2IpwoLJvm/UjQ1uDH/rv94WyX4jVHOntCS7fKr6kLJBgRQgghHLBy5Uo6depEUFAQOWaYeKbs45094N6Ami83UAvDQ2o+X2eSYEQIIYRwQJcuXYiMjATgo3OQair7+ORGZafWiorJmBEhhBCimoxGI2q1mk6dOpFgLF65tLS7/YrX8xBVI8GIEEIIUU2rV6/mnnvuAeCN08XLtZdQAR9EOqVadZYEI0IIIUQ1JCQk8M4773DvvfdyIA/m/We/mCfqQbNrZGDplSJjRoQQQogqslqt3HHHHdx+++08//zzDDgMpVZ9x00Jb4Y7rXp1lgQjQgghRCUsFgtLlizh3nvvJS4uDh8fH9Zlwm8ZZdO9FAbBOufUsS6TYEQIIYS4hJSUFB588EGys7Pp168fPj4+WMtZ9j1YW7wjrqg+GTMihBBCVODAgQO0a9eO5s2bs3nzZry8ipc6XZAMe/LKpn27IbjLR3yHyK9NCCGE+A+r1UpeXh7h4eF8/vnn3H333fbHDBZ47XTZ9C1cYXjwFa7kNURaRoQQQohSMjIyuOeee3jxxRfx9PQsE4gAfBIP54xlr/kwEtTyjuow+dUJIYQQ/9ixYwft27cnMDCQTz75pMxjpwvh3kMw4T+tIr284U6/K1bFa5IEI0IIIa5bVquVffv2sXDhQgB+/fVXJk6cSGxsLHq9HoBcM7x6CprvgMWpF+cxKVKWfb9cMmZECCHEdcVkMqHRaHjsscf45Zdf0Gq13Hnnndx3332888479nRWG3yVVByIJJvKz+uZ+tDR8wpV/BomwYgQQohrWm5uLqtXr2bdunX8/vvv3H333UyePJn+/fvz4osvEhUVheI/TRubsuDZvy+eMVPCVw0TG8JT9Wu9+tcFCUaEEEJcM3Jzc9mzZw87d+5k586dfPTRR+Tn5zNjxgz69u3L/Pnz6dSpE4B9b5nSThfCS6fK744BUCtgTD14syH4aGq27jt37mT69Ok888wz9jpeLyQYEUIIUScZjUb27dvHrl27MJlMjBs3jpdeeoktW7bQqVMnbrrpJtzc3AgLC2Pjxo1AcddLugmS84q7XpKL/v2KN8KPqVBkK7+8O31hcqOa33cmISGBhIQEOnToQGRkJHfddRdNmzbl448/vm6CEglGhBBC1Bkmk4nCwkIUCgX16tUjKCiITp060adPHwA+//xzFAoF+RbYlgOfZsOOBEgwFgcfqUVgqWaZLVzh48bQz7fmn8/atWt56KGHeO655+jcuTMTJ05kwoQJLFiwABcXF3Jzc5k/fz6PPPII7u7uNV+Bq4QEI0IIIa56R48e5csvv2T+/Pm89NJLvPDCCyQmJtrfoFOL4KdU2JKtYHM2/JVb/aDjv3zV8HYEjAqpnTVEPvroIz766CPmzZtH//797eddXFwYMWIEAKdPn+aXX37h9ddfZ9SoUTz99NPUq1ev5ivjZBKMCCGEuCrl5uaiVqs5deoUPXv25IEHHmDVqlW0a9eO8wbYkOfO5gTYnAXHCmuuXLUCxtaHN8JrflwIQH5+Pm5ubrRr146dO3cSERFRYdqIiAhWr17NgQMH+OSTT/jzzz+JiYnh4MGDtG7duuYr5yQSjAghhKhVx48fZ/PmzXh4eODp6UnTpk2JjIwkKSkJrVaLh4cHGk3xu77NZuPPP//kyy+/ZPHixXz77bf079+fCxcukKFw4cdUGPMXbM25/Hr5qiFI+8+Xpvh7Ax0MDIBG+svPvzx//PEH999/P8uWLeOWW26p8nWtW7fmyy+/BODUqVP07t0bX19f+vfvz9ChQ+nQoUPtVPgKkWBECCFEjcvNzWXBggUMGTKEwsJCVq1aRX5+Pjk5Odx///08/fTTDBkyhK1bt1JUVISLiwtpaWmsXr2aZ599luHDh7N//37c6jVk1gVYmOrCxiyoYGxpuVRABw/o4QWt3UoFHloI0ID2Ci77abPZ+Pjjj3nvvff44osv6Nixo8N5RUZGkpiYyB9//MGvv/7Kzp076dChAxMnTiQqKorbbrsNb2/vmqv8FaCw2WzVubfXndDQUBISEqhfvz7x8fHOro4QQlzVjh07xieffMKCBQto3akL9/3vC1IDIimw/BsIBP/TEhGshQAtmIuM5Obm4ufnh8ViIdus4JdMFQtT4PfMqo/9cFNCV6/i4KOnF0R7gpuqVp9ulWVmZjJ06FCmTZtGVFRUjedvs9mYNm0ay5YtY/v27dx222389NNPFBUVodVqa7y8qqrqe6gEI5WQYEQIIS7tXI6BOUt+xat3DL+tWMHBbZvJum0URfUaVXqtguJWipIgRQHEZVU8vbY0H3XxvjA9/wlA2rqD5ira5KSgoIDvvvuOffv2MWPGjIsWVqstGRkZHD58mB49ejB27FiOHDnC0qVL8fLyuiLll1bV91DpphFCCFEtNhssSYVPdpxkz4KZFKyYB2HNwPsmaNG/+KuqeQEppuKvA/mVp/dQwUB/GBIIfX2uruCjtDfffJNPP/2Utm3b8uyzz17Rsn19fenRowcAU6dO5YknnqBXr16sXr2awMDAK1qXqpJgRNR5OTk5GI1GAgICnF0VIa4LqzPg3sPAb79Afj5M3QCRtTezQ6+EAX5wfyDc7gsuV0nXS2k2m42NGzdy6tQpRowYQWRkJBs3bqRVq1ZOrZdGo2Hu3Lk8//zzTJ8+nXfffdep9amIBCOiTrBYLJw6dYrjx49z7NgxfHz9ufn+YTzxyEOsX/oDt4x9lfffeZt2Hs6uqRDXPvtMlnufqzRtPS20cQd/zb8rnSYVQarp0oNRtQq4ww/uD4C7/MD9Kn23stlsxMbGMn36dHJzc3nppZcAeOSRR5xcs38plUqmTp2K1Wrl5MmTWCwWmjZt6uxqlXGV3l5xPTtw4ADbtm1n37ET7D9yjAGvfsgFi5ovBnZHFx6FpX5TCtr1xbodePATeGIuqzVa1v8Fa2+Am7yd/ASEuMb194NJ56HQ+u85vRJauRXPWmnjDm3+OfavYOyk2QpppuJVUZNKBSnZZmjmCgP8wesqfYeyWq0cOXKE7OxsunXrxqFDh3j33Xe56667UKmuwmYbQKFQoFKp2LRpExMmTGDVqlW0bdvW2dWyu+xbfeHCBb755hvi4uJITExEq9USFhbG7bffzgMPPIBeXzOTtVesWMHSpUs5duwY2dnZBAQE0KFDBx588MGr6hfqbAkJCWRlZZGVlYXRWETrHjez8o+drFq9iqSMLFIzswi4/UGa9+hNUdwSops1ol+75jRw13ElxlbZbDays7PR6XQUmS288f4kDhw/wckTx9H41+OGab/w55xVpO7fgSW0KbQeyOY0P/DyhyUpGP6boZe//dBkg1/Tro1g5GQhrDlwklBPPX0ah+CqvjID34Soio6esKsD/JFdPIi0jXvxuhyqavyZqpUQrCv+uqH2qlojUlNTcXNzIzc3l4ceeoidO3ei0+kYO3Ys3bp145NPPnF2Fats+PDhKBQK+vbty7Jly+xjS5ztsmbTxMXFMX78eHJzc8t9PCIigjlz5tCgQQOHK2g0Ghk3bhwbNmwo93GlUsnYsWMZM2aMw2VcypWeTWM2m8nNzSU3Nxdvb288PT1Zvnw5aWlppKenY7YpeOTp51n442Lmz/6MjPR0stPTuOfVD2k44GE+jK6PVaXB5u6NKSgC6zs/we51sG05uPuAuzd06Fs82OzNGDixB9IvoGl3M11mrSbwzB4CC9Po3fEGuocHFo9uv8QLjM1mo6ioCKPRiE6nQ6lUsmLFCuIvJHHyQhJmnRt9Rr/It59NZd3cGeSmJmE1m6g3eTnJrXpjnvkyNGgKoU2hQRQEXN5+3EtbFi9YVJdtyYJb90Nh7Ovw41TQu+PevD23vjmDHo1CaViYzK3NGuAmAYoQNc5isaBSqVizZg1z585l+/btJCUlsXLlSnr27MmSJUuIjo4mPDz8is2OqQ0//fQTCQkJjB07tlbLqfWpvUePHrUvZuPq6sqoUaOIjo7GYDCwcuVKFi1aBBQvzrJ48WLc3Bzb5vCFF15g+fLlAERHRzNs2DACAwM5fvw4s2bN4ty5cwC8++673HvvvQ6VcSk1HYxkmOCrRBvTht+DMS+HorwctN7+dJ21mqOxH3B02gQUajUqN08iX/kCz1vu4/DTd2DRuWLy8MMaGA4PvQrnjkL8CfD0K/4KCAW9g1tJ5mVBajxEtILV82HZp3DqALh7o3/7R9watyZ77I1QZIAiA/rIlrSYsZKE6S9z/uuPivNQKrlh6s8UdbiVE+PuwOwTDD5BEN4C7nwMEk9DQS74BhfXt4aaMt2UEKGHSBd4KAgGB1w6eKoLnjoOX1z45weLBRJOwLHd0PUuSDkHz/QAlQa35u1pN/Bh7nvwYdwuHEevsOLv5UGAlwdBXh54qBW4qkBZx38fdYXVaiPfquBcVj4nk9JIzMknKacAZWADjN5BnD24l0Fd29b5YLmuM5lMxMfHc/bsWSIiIggLC2PUqFGcPHmSs2fPYrPZOHnyJOvXr+fo0aNER0fTpk0b+wqx15q4uDhSU1Nr5f0TrkAw8vDDD7Njxw7UajXffvst7dq1K/N4bGwskyZNAuDpp592KPrasWMHDz/8MAA333wzn332WZn+uIyMDGJiYrhw4QJeXl78/vvveHp6OvJ0KlTTwcht+2B1JrD+B9C7g6snePoWBwJF/3RCaHTOf0cteRP0qwcurnBkB2hdiuvm5gmBDcBQADZr8XlV7XTuahQQ7gIRpb/0/x77a5z/q6ppXyTAUycukcBqhcRTcPwv8PCBjrfA20PgwObigK8wD5YkQfxxeOteFK4eKF098LzlfuoNe4msr97DHH8CnYsenV5Px6deR2sycHbFAlz1etzdXAltEkXzjl05tXsr2alJlPyKm/fsC1Yrx/6Ms1fHOyiEqA6duXBoLwXpKejUKnRqFa3adcBVq+H0oX24aFTo1Wp8vb1oFBlBakI8+TlZaBTF+4BERkag1Wo5ceLfJ+7h4UGDBg3IycnBZDKh1WrtX5V9IrXZbFgsFpRKJQqFgszMTEwmE1arFbVaTUBAADk5OeTm5lLyEujr64urqyvx8fGYTGbOp2WSWmCkQbsu/Ll9B5vXriYtI4PM9HQaDhqBrn0vfru7FYaMFKyGAmyefvDDWVgyHeZPBBc30LnCiHeg173w06cwcCzzouDREAf/OK5zeXl5JCcnk5KSQkFBAX369GHv3r1s3LgRo9GI0Wjktttuo1OnTrz88stkZmZiNBrR6/XMnDmTOXPmMHr0aLy9vWnYsCFvvvkmAwYMIDY2Fn9/f8LDw4mMjHTKehzOsm3bNvr378/777/P448/XuP51+o6I/v372fHjh0AxMTEXBSIAIwYMYKlS5dy8uRJ5s+fz6hRo6odWcbGxgKgUql46623LhoY5Ovry/jx43n++efJzs5m8eLF9p0Or1Ybsv456D3k4ge1LrVSpgqoryt+Uw/TQYgOEo1wuACOFIDBWt5FquKunBKtul2cxsW1RurnoSrub27kUvy9sf6fn/UQqrt0P3Rubi5JSUm4ubldMztZPhYCeRb4KgmOFsBFt0ephPqNi79KvPHDv8dWa3GE5uYJ0zZhK8jFUpBLppc/mQVAg7ag8YaiQjAUcCJNBdmFcOBY8TljIbTOAs+u8ONKOLL937zdO4LZBJ99+u+51j3BtTN8/RPs/h2sluKvV78pfjN+ecS/51r3gJfnwczpsGlx8YIVgPLNRWhDwjGOuv2fwMeGrllHQj9cSsb0iWQs/gxbkRGADp+vIrBtV9b0qYdKo0WpVuPVtA1d5/zO/k9e5fTXk7CZzQDU+/AnVF3v5HyfkOKAWalC2SAK3eydmL77HPOCD/55EgrUL8xCefN9FA3sWFxXd28Ibw7v/QJ7MuB0Bnj4QngTDlAPUoEJC4o/VLi4/dsyGfNM8dd/DSz+QLYu69oJRjIzM0lMTCQnJ4ecnBxatWpFcHAw06dPt59zd3fnrbfeYsmSJfz4449oNBo0Gg1PPPEEXbt2ZcKECQBotVp8fX0ZN24cv//+O9999x0pKSmkpKTw8ssvM3jwYOrXr4+LiwuBgYE0bdqUPn36kJSUxP79+9HpdOh0Oswl975ePYKCgnBxccHVtfi1asiQIQwdOtS+02+J2ngTriu6dOnC+vXr6devH3l5eVd8TZQSDrWMTJ06lZkzZwKwaNEibrih/OFHs2fPZsqUKQDMnTuX7t27V7mM/Px8unTpQlFRET179rQHJv9VVFRE165dycvLo127dvzwww/lpnNUTbeMDDgAv6bXQMUoHr3urS7+8lKDnxrC/gk4wlxKBR/aire/ttjgjAEO5xcHJ6W/F5QXpFSTVlG8qmKItjgIKjmO/CfwiHSxoTfmkZGRjtFoJCoqij179rB161YyMjLIyMjg4YcfpnXr1vTt25esrCwyMzMJDg5m+/btvP/++0ybNo2xY8fyf//3f5df4auIzWajwKpgbx7syoXd/3yVG6BcD2w2sJhBoSwOtrJSwVxUHBzp9OAXAoX5YDGBSlMcfKg1xcHbVeS75vBAkLNrUTPef/99Zs6ciaenJ56enrz77rv06tWLUaNG2TfFCw0N5bHHHmPfvn3s2rWLoqIiTCYTt9xyC82bN+fdd9/FYDBQVFSEm5sbb775Jjt27GD79u0EBgYSGBhIy5YtCQwMxGq1orzK7ue14u+//+bMmTP07du3RvOt1W6aBx98kF27duHq6srOnTtRq8tvYNmzZw9DhhS3AIwZM4Znninn00IFtm7dyqOPPgoUjxsZOXJkhWkfe+wxtmzZglqtZu/evTXat1fTwUiOGRamFLdIlDRRl3xXK4pXEyxzDht5Z0+gMxWiNRXioVFyU5fOXDh+mAN7/6KwsBCDwUCfPn1o0aIFr7/+Onl5efaxPB9//DHLli3jiy++sKd98cUXuffee3nvvfcIDQ2lZcuWNG/evMy4HqsNzhogwQhGGxRZwWgtPjb+c1xU6thgseGmgmC1FcOpg6hz0lHmZuDtouGee+7m559/5ueffyYjI4P09HTeeecdunXrhru7O2azGV9fXzp16sRvv/3G999/z2+//Yafnx/e3t7cd999NG/enBUrVuDt7Y23tzd+fn4EBwdf9v24mo0cOZIVK1YQGRlJZGQkb7zxBqGhoWzcuoOCoEjOuIWwJ1/JnjxIKYJ8K+RbqreRmKgdWkVxF6Kfpvh7ydcAP+jne+11LQpRkVrtpjl58iQAYWFhFQYiUDx49b/XVNWpU6fKzac8ERERbNmyBbPZzNmzZ2ncuPEl0zuTpxoeC7Zy9OhRkpKSSEpKwmq18tBDD/HDDz8QGxtrP//ZZ59x33330aBzb3Q6Ha6urjRu3JjBP/3EhsMHWbx4MXq9Hr1eT/v27YHi1fb8/PzQ6/X4+PgA0KJFC0aNGoWLiwt6vZ6oqKjiT90FBSxdutS+It+JEyf4+eef+fPPP2nZsiUtW7akU6tWqFQqNm7cSFZKCsnJyej1ekaNGsXs2bP5OjaWlH/OL1y4kH79+tHixkH4+fnh6+tLmzZtuOeeu/H29qZt27b28y1btkSr1ZKUlIS3t3eZTztDhw5l6NChF/3u7rzzzitwh64e06ZN47nnnuP06dOcOnUKNzc3UlJSeHHcWE6dOoXJZOKhhx5if2wsn3/++T8fDDQoNRpGP/8yCr07n06dhE2lwarSEBDRlHYD7mfv1s0knjuLzcUdm94dr5YdMes9SE04j0nnTpGLO4UqHaaSDpNS0Y3tP9+hOHA128oGrUUlx/8ErHU5QCoJLP4bXJQc+6nLBhx+GnBXScAhRHVUOxgxGo1kZmYCVPrJ1MvLC1dXVwoKCkhKSqpWOYmJifbjoKBLt2mGhPzbAZuYmHhVByMl7rrrLvz9/QkJCaFFixZAcdAwZswYgoODCQkJISQkBIVCUW40ed9993HfffdddP6NN9646FzTpk3LXW3vvffesx+X9LMGBQWhUqlYunQp77zzDh9//DH9+vVjwoQJBAUFERQURMuWLQHo3r07jRo1IigoiMDAQPz8/FCpVOUGnjfddBM33XTTRed9fX0r+hVd9/R6Pc2bN6d58+Zlzu/btw+bzUZ6ejr5+cWbeTRu3BiLxYLJZMJkMhHirkWrhSCdEpPJgNmQR4Q5g6FBkJ10iOMbVpOXl0deXh6ff/45IT4htL6xE3l5eRgMBnr16sWmDRt47rnnmDNnjr3sn3/+mY4dO5aZrt++fXvi4uJ4++23+eKLL1Cr1bip1Xw3eza9evWiffv2qNRqVGo1DSMb88U33zN/7pf88PVcbAoFoOCJl9+g/c23MObuW7BYLNhQ4B0UwtOff8uW5T+xcdF8bEoVCpWaTkNH0qBbb35+42mKiopAqULv6sadr00iftsG9v/8HUqbFSU2bho0lK59bmXOhKfJz8pApVCgc9Hz2ow57N/+Jyu/n49CqUSlUnHj7f3p2udW5k+bRHZGOmqrGZ3NwoxPprJz5w4+/+xz+++358CBDB06lNGjR3P69Gn7h4KvvvqKv4/9zbx58+znunbtys0338yRI0cuupdCiGLV7qbJyMiga9euANxxxx1MnTr1kum7detGeno6TZs25ddff61yORMnTmTBggUArFy5kkaNKt79ccGCBUycOBGA6dOn069fvyqXUxmtVovJZEKpVJYJeoS4ltlsNhQKBTabjdIvESUtWFZr2VErSqUSq9VqP2+z2VCr1SgUiuKAoVSeWq0Ws9lcHHT8k7dGo0GlUmEw/LusnUKhsA9ILMkDiv8n1Wo1+fn59usVCgVubm6YTCaMRqP9nFarRaPRUFBQUOZ5lE5bcl6n06HVasnLy7M/D4VCgYeHB2azuUy+JYMwjUYjVqvV/ntyc3PDbDbby7PZbOh0OvR6PQaDAReX2hmkLsTVKjExEavVikajKfN//F8OtYyUqMrYDK22eC3g0i8y1S2nJI/KynCknMpYLBag+MU3ISGhRvMWQtScrKysWkmbk5NTeaJL5FvSeiXE9azkvbQi1Q5GdDqd/dhkMlWaviQSqu4ngtLlXCqa+u/jNf3Jw8XFBYPBgEqlumq3XhZCCCGuRikpKVgslkrfm6sdjJSecVFQUFBp+sLCQgD7PO/aKKekDEfKqYx8qhFCCCFqV7UnbOt0OvssjcoGpWZnZ9sDiepOwyydPjk5+ZJpSw92lXEdQgghRN3i0OoxJYNJz507Z5+FUZ7S03MvNQD1UmX8N5/ynD59GgC1Wk1YWFi1yhFCCCGEczkUjHTo0AEo7j45dOhQhel27txpPy5ZB6OqWrdubR8gW7L0fHmKiorYu3ev/ZrKBrsKIYQQ4uriUDBSernYJUuWlJvGarWybNkyADw9PYmOjq5WGe7u7vYpxFu3bq2wS2jt2rXk5eVdVC8hhBBC1A0OBSNt2rShY8eOQHEwsmfPnovSzJ0717741bBhwy6aBrx06VKioqKIiopixowZ5ZZTsumd2Wxm4sSJF00NysjIYPLkyUBxwFNbWyALIYQQovY4vO/7a6+9xtChQzEYDDz00EN4enqSn5+PWq1Gp9ORkZEBQMOGDRk+fLhDZbRu3Zp27dqxZ88e1q9fT+vWrYHimTZ+fn5kZmba5/W/8MIL19W2z0IIIcS1wuHtD1u0aFGm5SIjIwOj0Uh+fr49EFGr1UycOPGi7ZqrYuPGjXTt2rVMq4vFYsFisZCTk8Pp06ftgcg999xj35BPCCGEEHWLw8HI0aNHmTdvHlAcdHh7e6PVanF1dbVP/S3pXnFkrY6srCyKiopQKpX06NGDAQMG0LJlS7y8vFCpVGUWUFm9ejVHjhxx9KkIIYQQwomqvTdNiYcffpgdO3agVqv59ttvadeuXZnHY2NjmTRpEgBPP/00Y8eOrVb+K1euZNu2bYwePZp69eqVm+abb76x7zjbpUsXvv76aweeiRBCCCGcyaFgZP/+/fbBovfffz9vv/32RWmsVit33XUXJ0+exMvLiz/++KNKe9lUV0xMDAcPHkSpVPLnn3/aW2WEEEIIUTc41E2zbt06+3FMTEz5GSuV3HPPPUDxSqyXWivkcnTu3BkoDn7i4+NrpQwhhBBC1B6HgpFdu3YBxfvAtGzZssJ0nTp1sh/v3r3bkaIqVXqzvpLtzYUQQghRdzj07l2yfkhYWBhqdcWzgyMjIy+6pqaVtLio1WrCw8NrpQwhhBBC1J5qByNGo5HMzEyg8s3vvLy87LvoVrapniPi4uI4duwYAD169HBoCrEQQgghnKvai56VnqZbEmhcil6vp6CgwL57b03JysqyD5xVqVSMGzeuRvMv4ebmhsFgQKVSERgYWCtlCCGEENeilJQULBYLLi4ul1zmo9rBiNFotB9XZXZMycZ1BoOhukVVyGKxMH78eBISEgB48sknadGiRY3lX5rBYMBqtWK1Wu3lCSGEEKLqKosBqh2M6HQ6+3HpwaMVKSoqAiizSNnlmjhxIps3bwagV69ePPXUUzWW93+pVCqsVitKpZKQkJBaK0cIIYS41iQmJmK1WlGpVJdMV+1gxM3NzX5cla6XwsJCoGpdOlUxZcoUFi5cCECHDh2YNm1apU/ycgQGBpKQkEBISIhMHRZCCCGqITQ0lISEhEqHOVR7AKtOp7MvLFbZoNTs7Gx7wFLZYNeqmD17NrNnzwagZcuWzJo1q0ZbXIQQQghx5Tk0tbdRo0YAnDt3DrPZXGG6U6dOXXSNo7777jumTJlizys2NhYPD4/LylMIIYQQzudQMNKhQweguJvm0KFDFabbuXOn/bh9+/aOFAXAsmXLeOeddwBo0KAB8+bNw9fX1+H8hBBCCHH1cCgY6du3r/14yZIl5aaxWq0sW7YMAE9PT6Kjox0pijVr1vDqq69is9kIDg7mq6++IigoyKG8hBBCCHH1cSgYadOmDR07dgSKg5E9e/ZclGbu3Ln2VVeHDRt20TTgpUuXEhUVRVRUFDNmzCi3nC1btvD8889jsVjw8/Nj3rx5hIaGOlJlIYQQQlylqj2bpsRrr73G0KFDMRgMjBgxgtGjRxMdHY3BYGDlypX2GS8NGzZk+PDh1c5/7969jB07FpPJhEajYcKECZjNZo4fP17hNcHBwXh6ejr6lIQQQgjhBA4HIy1atGDq1Km8+OKL5OXl8fHHH1+UpmHDhsyePduhZdo3b95snxZsMpkYP358pde8//77DBo0qNplCSGEEMJ5HA5GAHr37s0vv/zC/PnziYuLIzk5GY1GQ1hYGLfddhsPPfQQer2+puoqhBBCiGuQwmaz2ZxdiatZyYIt9evXl0XPhBBCiGqo6nuoQwNYhRBCCCFqigQjQgghhHAqCUaEEEII4VQSjAghhBDCqSQYEUIIIYRTSTAihBAOsNls5OXlceTIEWdXRYg6T4IRIYSohgMHDjB8+HCee+45tm7dypAhQ5xdJSHqPAlGhBCiCgwGA/369aNXr16EhITw0ksv0bNnT/7++28SExOdXT0h6rTLWoFVCCGuZUVFRXz//fdotVqGDh3KyJEjWbp0KW5ubvY0N954I2vWrOGRRx5xYk2FqNukZUQIIf6jsLCQ999/n4YNGzJr1ix8fX0BiImJKROIADz11FPUq1fPGdUU4pohLSNCCAGcOHGCVatW0apVK3r27MnZs2dZsmQJXbt2veR1/fv3B4oHtCoUiitRVSGuOdIyIoS4LuXn52Oz2dixYweNGzcmOjqaP/74A5VKhVqtZubMmZUGIiV69+7N7t27a7nGQly7pGVECHHdOHHiBL/++iurVq1iy5Yt7NmzhyZNmvDNN9/QqVMn1GrHXhIbN27M6tWr6dixYw3XWIjrg7SMCCGueSW7hS5evJi//vqLRx55hLNnzxIVFYWPjw9du3Z1OBAB6NevH6tXr66p6gpx3ZGWESHENSstLY1XX32Vn3/+mePHjzNhwoRaKadPnz688cYbmEwmNBpNrZQhxLVMWkaEENek3377jWbNmmE2mzlw4ABeXl61Vpa3tzeHDh2SQEQIB0kwIoS4puzatYu8vDwaN27ML7/8wty5cwkMDKz1cnfv3s2sWbNqvRwhrkUSjAghrgnp6emMHj2aW2+9lf3799OkSRO6det2xcq3WCx88MEH2Gy2K1amENcKCUaEEHXe33//TbNmzTAajRw5cuSKBiElOnToQE5ODidOnLjiZQtR18kAViFEnZWVlcXBgwfp3r07a9asoV27dk6ri0qlom/fvqxevZqmTZs6rR5C1EUSjAgh6qyvvvqKbdu20aNHD6cGIiUmTZpUqwNlhbhWSTeNEKJOstlszJw586raoC4sLIxDhw5hNBqdXRUh6hQJRoQQddLGjRsxGo3ceuutzq5KGaNGjWLLli3OroYQdYoEI0KIOqlhw4bMmTMHlUrl7KqUIauxClF9EowIIeqc7Oxs3Nzc6Nu3r7OrchEJRoSoPhnAKoSoc7744gv279/PggULaq0Mm82GxWzDZLRRZLCW/TJaMf1zrPdQ0egGd7S64s92PXv2ZPDgwVitVpRK+bwnRFVIMCKEqFOsViuzZs1i3rx5NZuvxca5owUc3pFD4ikDxkILVkvVrj34ZzaDxoaiUitwcXHh9ddfx2q11mj9hLiWSTAihKhT1qxZg4uLCzfddFON5JedZuLw9hyO7swhP7uK0cd/JJ81sicuk459fQFYsGABv/32G998802N1FGIa50EI0KIOsXX15cPP/wQhULhcB7mIisnD+RzeFsOCX8X1ki9dq7JpElbD7z8NbRv355x48ZJV40QVSTBiBCizsjPz6d9+/ao1Y69dKXGGzm8PYfju3MxFlavG0WhBK2LEq1OidZFiUanJOmsAf7ZisZisrFxSSr9R4YQFRWFq6srf/31Fx07dnSorkJcTyQYEULUGZMmTSI9PZ0ZM2ZU67rTB/PZsTqD1PjKFyMLbKCjRbQngWG64uDjnwBEpVFc1BqzcUkqB7Zk238+d7SAv/fm0aSdB/fddx9nzpyRYESIKpBgRAhRJ5jNZubMmcOSJUuqfE1OuolNS1M5c7jgkul0rkqiOnjQItoT//q6Kuff5Q5fTu7PoyDn37Emm5elEdbMlUmTJlU5HyGud9KZKYSoE5YvX05gYCDR0dGVpjWbrOxck8F3H567ZCDSoKmeWx8OYvhbDblxUEC1AhEAnV7FjQMDypwryLGwbWUGNpuNp556ipycnGrlKcT1SFpGhBB1xmuvvVbpwNWzR/PZtCSN7DRTuY+7e6tp3tmD5p098fTTXHadGt3gRnhzV84e+TfoOfBHNs06ebBv3z7Wr1/PPffcc9nlCHEtk2BECHHVs1gslb6h52aa2LIsjZP788t9XO+uovsAP5p28ECpdHwmzn8pFApuignguw/PYTH9M5rVBnGLUrn1lltZtWqVBCNCVEKCESHEVe/VV1/F39+fF1988aLHLGYb+zZmsXNNBqYi20WPKxTQuocX0bf7otPXzj42nn4aOt3qw7YVGfZzqQlGGjXtzldfP4HNZrusqchCXOskGBFCXNWMRiNz587l999/v+ixhL8LiVucQmZy+V0yQeE6eg0OJCC0emNBHNGulw/Hd+WRkVxkP5d7OozlP6+VQESISsgAViHEVW3p0qU0btyYG264ocz5k/vzWPZ5QrmBiIubkt73BzL4mdArEogAqNQKet1XdjCrxaRk55pM9u3bd0XqIERdJcGIEOKqlpKSwrhx48qcK8g1s35hCrb/9soooGVXTx6cEE6LLp4oanBsSFXUi9TTItqzzLm1a37nuWdeuaL1EKKukW4aIcRV7b+BCMCmpWkYC8quoBoQqqPX4ACCwl2uVNXK1bW/H6cO5mHIL65fs7AeLPnmXfJyCnH31Du1bkJcraRlRAhx1ZowYQI//PBDmXOnDuTx9968Muci27hx73OhTg9EAPRuKroP8Lf/7OMRgq9HfeZNX+XEWglxdZNgRAhxVcrPz2fmzJm0bdvWfs5YaCFucWqZdDpXJb0GB9TodN3L1ayTB/Ub/9sKcmfX50j524W0C5UvRy/E9UiCESHEVWnhwoW0a9eOZs2a2c/98XN6maXXAXre44+rx9XV46xQKIoDpH9mEt/Q+Bb8PRsS92MqNuvF04+FuN5JMCKEuCrt27eP0aNH238+f7yAw9vLLq0e1syVqI4eV7pqVeITpKVDHx8ALFYzUxbey9kTGRzfk1fJlUJcf66ujxNCiGuKxWJhz549rF27lrVr1zJkyBBGjhzJ2LFjcXd3Jzw8nMjISPr163fRwmDTpk2zH5uMVjYsTCmTt0an4Ob7Aq7qNTw69PXh+F95ZKfBSw8sA+DskXyiOlydAZQQziItI0KIGnXmzBliY2MxmUwsX76cwYMHc+rUKUaPHs19990HQLt27VCpVGzZsoVZs2YB8Mknn+Dv70+HDh244YYb2Lhxoz3PbSvTyckwlymn213+ePhc/t4ytUmtUdLr3gAUpV5pgxo4f5CtEFcbhc120Ux9UUpoaCgJCQnUr1+f+Ph4Z1dHiKuOxWJBpVLxySef8Nlnn5GSkkLv3r2ZNWsW/v7+KBSKKrVemEwm4uPjOXv2LOfPn+eOO+7Az8+PpDMGFk+Ph1KvVPUiXRg4pv4VX0fEUeeOFfD3njz86mlp3d0Lpapu1FuIy1XV91DpphFCOCQ1NZWPPvqIPXv28Pvvv9OuXTvmz59Pp06dUKur/9Ki0WiIiIggIiLCfs5itrHuh+QygYhKreDm+wPrTCACEBblSliUq7OrIcRVS7pphBDV9v7779OkSRNSU1Pt3Sw33XQTXbt2dSgQqciutRkXLffe+TZffAK1NVaGEML5pGVECFElWVlZrF+/nkGDBhEVFcX27duJioqqtfLSLhjZ/XtmmXMBoTra9fKutTKFEM4hLSNCiEvKycnh3XffJTIykh9//BGr1WoPSGqL1WJj3fcpWEut+K5UQp8hgbU+3uLo0aPccccd/Pnnn7VajhDiXxKMCCHKVTK2fezYsezevZu4uDi+//57lErHXjZsNhvWKi74tXdjFqnxZVcrbd/HB//6tbsDr8ViISYmhgYNGnDXXXexevXqWi1PCFFMummEEGVYrVZiY2OZMWMGO3fu5Msvv0SjKX8KbX62mfi/CynMs1BUaMVYaMFosP5zbL3onM0GOr0SF3cVejcV+n++u7gr7ccqtYLtqzLKlOMTqKHjLT61+ryPHj1KVFQUf/zxB97e3owfP57Q0FDOnz+PXq/H39+/8kyEEA6RYEQIYXfy5Ekef/xx0tLSmDVrFi4uF6+JYTZZOX0wn6M7czl3tIDqLg5g/CdQyU41VZ4YQAG9hwSi1tReQ+7ixYsZOXIk27Zto2nTpgA0adIEgEWLFvHJJ5/w/fff06NHj1qrgxDXMwlGhBBYLBaUSiX79++nV69eTJgwAa323xkrNpuN5HNGju7I4cSePIyF1kvkVrPa9PAiJEJfeUIHzZ49m9dee40VK1bYA5HSXnjhBRo0aMCAAQN4+eWXefnll2utLkJcryQYEeI6d/DgQR577DHeeOMNBg4cyMCBA+2P5WWZObYrl6M7c8hMqWJLRg3y8FXT5U6/WsvfaDSyZMkSNmzYQKtWrSpMd99999G+fXs2bNgAFC/QVlHXlRCi+iQYEeI6VVRUxAcffMDHH3/M66+/Tr9+/YDimSwn9+dxZEcu549V3g2j0SoIDHNBp1ei0yvR6pXoXFT/Htu/q1AqoTDfgiHPSmGepfgr34Ih3/Lvz3kWjIVWfII03PJgEFpdzXfPWK1WZs+ezfDhw6s8SLVx48Y0btyYhIQEevbsybx587jppptqvG5CXI8kGBHiOmS1WikoKODQoUPs2rWLxo0bY7XYOLIjh11rM8lOq7wVJLSJnmadPIhs414rAUNtMZlMjBgxgkOHDjF48GB0uurN0Klfvz6TJk1i0KBBPPvss7z66quoVKpaqq0Q1wcJRoS4jhQWFvLmm28SHx/PggULWLhwIVaLjaM7c9i5pvIgxNNPTfPOnkR19MDTt+51UxQWFnLvvfeSl5dHXFwcnp6eDuUTExNDu3btGDt2LHv27KFjx441XFMhri8SjAhxnVi/fj2jR4+mSZMmzJw5E6vFxvG/ctm5NvOSM1s0OgVN2nrQrLMHIREuVdr07mpktVpRq9X07NmTcePGlTtTqDoiIyNZsWIFAOnp6fj51d7YFiGudRKMCHGNM5vNqNVq1q1bx5tvvsmQIUP5e08+C745R9YlgpDAMB039PQmsrUbmjrUDVOa1Wpl48aNfPPNN2zbto2DBw/W6GwYhULBmjVreO6559izZ0+ZGUhCiKqrm68wQohK2Ww2vv76a5o2bUpmZibvvPMuHZsN4PsPz7P2u+QKA5HABjrueiKEe58NJaqjR50MRPLy8gC4/fbbGTVqFA0bNuTXX391ePXYS7nlllvw8/Nj6tSpNZ63ENcLaRkR4hr0999/M2rUKC5cuMDsmXM5vRcO/nGWnHRzhdcENtDRuZ8v4S1c62RXTGJiIt9//z3ffPMN9evXZ/ny5cyfP5/AwMBafT4KhYIvvviC7t27M2TIEMLDw2utLCGuVRKMCHENKSoqQqVSkZSURIe23Xnhkcc58bsJiym9wmsCQnV0vs2XhnUwCDEYDGRlZeHn50fHjh3p0aMHb7/9NrfddhsAQUFBV6QeLVu2ZN68eQ4PiBXielf32l+FEOXasmULbW9oy7QP5nNhRzhh1mGc2lOExVT+QiEBoTrufCyE+54PJaKlW50KRHJzc5k8eTIRERH2vXNOnz7NwoUL6d+/v1MWJBs4cCC5ubls3779ipctRF0nLSNC1HG5ubk8PeY5lv28jIE3voQmtQcpCmOF6QNCi7tjGrasey0hANnZ2TRp0oTo6GiWLFlCt27dAK6KwaN//fUXzz33HIcOHcLV1dXZ1RGizpBgRIg6xmKxsGXzVpYt+Y3GDToQ5NKWhCMqXh6yAg/X8qeXKlXQ+AZ3WvfwIrhh3ZueGx8fz5QpU6hfvz7jx49n165dhIWFObtaF7n77ruJjY3lvffe47333nN2dYSoMyQYEVetnJwckpOTiYiIIDc3lz/++IPc3FxysnMIDQ2nZ7c+zJkzmz17/qJLp56MHDMMrcu11/NoMds4+NdpMPiwZvV6Jk59DL3Wk+bhN6Jt1RlboJW7e7xY7rUePmpadvOkRbQnrh517989Ly+P5557jh9++IGhQ4dyzz33AFyVgQgUD2adPn06HTp04OmnnyY4ONjZVRKiTqh7r07immKxWDh37hzHjh1Dr9fTqX13nnl6HL8sX0p6ZireHv5MemkFGRmZfLnkXbRqNzQqPU0bdOP0usYcOFpEfn4Af2/X8XX6GQY/G4pPoPOb6y9X8jkDS77bwKo1P7P7YBxp2ed57eHfcNFG8ML9SwjwvvSMjbBmrrTu7kV4C1eUSue2guTl5ZGcnExSUhI+Pj60aNGCP//8k6ysLKD4DbxPnz7k5uaya9cuoHjJdj8/P6Kjo2nUqBHHjh2jXr16TnwWVRcZGcnhw4clEBGiGhQ2W2XbYF3ahQsX+Oabb4iLiyMxMRGtVktYWBi33347DzzwAHp9zWz9vWLFCpYuXcqxY8fIzs4mICCADh068OCDD9K2bdsaKaM8oaGhJCQkUL9+feLj42utnKqyWq0olUp27NjBihUr2fvXQY4cPszYEe/SKKwNDz3dhbAGEURGRtDzxh489/zTnDt3DoVCQf369Z22h8bJkyc5duwYCQkJnD17luEPj+bM3yncOag7Go2OegGNuKHx7dzY6lHOpxxCo9bh7xWGWlW9wKJDXx+61uIur1fC2SP5/Do7kfV/zSMnP5nm4TcSWa8DGvWl91DR6ZU0j/akVTdPvANqJiAzmUwUFhZiMBgwGAw0aNCA7Oxsjh07Zj/foEEDWrZsyaxZs9i/fz9JSUkkJSWxdu1aNm7cyJ133klgYCBBQUGMHDmSMWPG8OSTT3L48GFKXn5+/fVX/v77b8aNG2c/99hjjzFixIgaeR7OsGDBArRaLYMHD3Z2VYRwmqq+h15WMBIXF8f48ePJzc0t9/GIiAjmzJlDgwYNHC0Co9HIuHHj7Ft3/5dSqWTs2LGMGTPG4TIupTaDEZvNhtFoxGg04uXlRVpaGvHx8RQUFFBQUECzZs2oV68eb731Fvv2HOTQ4cNgVfLpm+tZsWYJh47tIsinMSF+jakf0ByN2oWMnHjSss6Rln0etUpDz3b3snrXdNZs/QqjqZB6wWFMn/w1rVo35avvPiO8YSihDUJp1KgRTZo0qVb909PTuXDhAunp6aSlpXFzr5vJzTEyfvzzJMRfIDEpgSaRrXnzuVimz36Tg8d24eUWhIdLEDe2eQQPvR8Fxhzc9b41NobhpsEBtO7uVSN5Ocv6hSkc3pZTaTqlCvzr6wgKcyEkwoWIVm5otNXrprLZbCgUCuLj41m2bBlHjx7l6NGj3HnnnTz33HO0bduW/fv34+Ligl6v59y5c+zatYsxY8bYzw0ZMoQxY8bw+eefk5ubS3BwMEFBQfTu3du+yJhaff01wq5bt46HHnqII0eO4O3t7ezqCOEUtR6MHD16lCFDhlBYWIirqyujRo0iOjoag8HAypUrWbRoEVDcZLl48WLc3NwceiIvvPACy5cvByA6Opphw4YRGBjI8ePHmTVrFufOnQPg3Xff5d5773WojEup6WAkP8fMgS1Z9B7UEENRATabjfpBjfh84iZWbJjHr+tj0Wr06LR6Ym4dR5vGvZj/0yR83OoR7NuYIN9GuLo4tpZBgSGbtOzzBPo0xGIxsXrHF2TlJ5FnSCGsfmNeHjONmd+/yl/7NxFSrx6hofV54/W3wKph7LiRZKRnkJ6ZRosm7fm/Z2Yz+fMX2bFvPe56H1x13gzs+SpersHsPPozXu5BeLsH4+tRDze9z2X/3iqiUIBWr0TvrqJRG3eib/d1erfE5Tq6M4ffF6RcdN4nUENgmAtB4cUBiH89HSp11Z5rYWEheXl5BAQEMHv2bOLi4jh27BjHjh3jzJkznD9/nqlTp9KsWTOioqLo2LEj4eHhmEwm1Gp1nRvwerV44IEH8PPzY8aMGc6uSo2ymG2s+z6Zr76dyb6/f6dBvUgiIhpzR7+7ad6qEXpPGwEhbk4bw2W12rCYy34VGaykJGVw9sx5UlPSSU/LoGH9Fvh6hjLn2w/IzEwnOzcLtVLLyJjJ7Dq8hs1/LUGhUKJUKLmpwxBaNurO17+8jtFUiFKhxN3Vi0dj3iAh9QhHz2zHw8MdT09PWja/gUaRjUlIPombhwvevh74+Hrh4aVHq1OidVGi0SpQ1MBrlc128XMt/VWQb0CtVuEbpEfvrrri/8u1How8/PDD7NixA7Vazbfffku7du3KPB4bG8ukSZMAePrppxk7dmy1y9ixYwcPP/wwADfffDOfffZZmW6GjIwMYmJiuHDhAl5eXvz+++81vuhQTQcjSz+N58JJAzn5aWg1LmjULqiUV8+nxrzCDDJyLpCVl0RWXhLtmtyOVqPn8JmNuLn44K73wcPVv8JZGzVBpVHgE6jBN0iLp58GnasSnV6Fi6sSrV6Ji15lP6fRKa7JN8pju3NJOmPA3UtNULiOgFAdOn3lXWzp6ekcPXqU9u3bc+HCBZ555hmOHj3K2bNnGT16NJ9++ilz587FaDTaA4+QkJBr8nd4NUhMTGTw4MGsW7fusjfmu5rs35zFpqVpZOQkcC7lIKmZZ0jNOkuPNg8Q4B3OKzM74eMRQpBfQ25o0Y3hQ5/nbNJ+ziWcxGq1YLXa6ND6JjzdfViz6UdsVhs2mw1PD1+6d7iDA0e2c/zUfsxmMyazmc6t+xHoF87CFVOxWCxYLGbc9T7c1n0kOw+sYseBFRiKCjEWFdK3wxM0bdCNd+ffRpEpH6OpEE9Xf/7vkdXE7fmKDX99hauLF64uXtzScSTNwnuwYusnaNR63Fy88HD1p02jviSmn+Bc8gFsNis2m42Ieu0I9m3M1kM/YjIbsVotKJUqbrzhIU7Eb2fHkWUYi/IxFOXTrdW9tG1yG5O+jyE9+zxGUx5KhZopY/ez6+iv/PLHZHQaV/Qu7tzS5RFu6jyIH1b/D7OlEI1Gg8ViZUTM2xz5ezert8zHbDFjMVvo0Pw2Oja/k69/fZWUjHOYzEWYzEaev28hx+O38f3vr2G2FJ/recNDDOj+Ah8tGEh86mH8POsT6NuQF0fMQeGST0r2cZo1b0rzlo3wDdbj6aNGXc2W1aqo1WBk//799laI+++/n7fffvuiNFarlbvuuouTJ0/i5eXFH3/8Ue2FiEaOHMnGjRtRqVSsX7++3AFhK1as4Pnnnwfg5ZdfrvE+5poORj4f/zdWSw1UrBQPHzV+IVpc3FTkZprJyTCRl2XGZq3ZcmqaRqfAN0iLT7AW38B/vgdp8fBVo1QqMBgM5OTk4OXlhUql4sCBAxQWFtpb47p27cqOHTvYu3cvLVu2pHv37s5+SrXObDZz5swZzp07x9mzZ/H09CQmJoYJEyYQGxtLTk4OTZs25aeffsLPz4/ffvvNHnQ42jopLo/NZsNqtaJQKGplbxxn2P17JltXVLyqr7Eon9Sss6RmnQWgXdPb2bL/ew6f2YRCUfwB4rbOYwj0ieDbNa/Yg+EA7zDu6vY8fx1fydGzW1AqlCiUKrq3HkI9v6b88sdklAoVSqUKD1d/bmr7MGeT9hOfegSdRo9GrSc8uDXe7sHEpxxGo3YpbmnWuOLq4tzuW4vFhEqlodCYS1ZeUnHgYsrHzzOUAO9wth/+idyCVCxWMyqlhr4dnyAl8zTHzv2JUqlGpVQRGtCC0MAWHD27BaOpEI1ah1qlpXH9ThhNBWTnJ6NWadGodLho3dFp3bBaLRSZC0nNOkta1jnaNrmNkxd28cuWyaRmnaHAmMOA7i/Qp8PjHDz/G/ffdz9d7vBD714z4wtrNRiZOnUqM2fOBGDRokXccMMN5aabPXs2U6ZMAWDu3LnVerPIz8+nS5cuFBUV0bNnT2JjY8tNV1RURNeuXcnLy6Ndu3b88MMP1Xw2l1bTwcjq+Umc2JPn0LUubkr8QnT4hWj/+dLhG6wttynUarGRl20mN6M4OMnNMJOTaSInvfg4P9uMtRaDFRc3Ja6eatw8VMVTSjWFFFlzsCjyKbLk0rlbW3z89Xz66aekpqaSlpZGaGgo//vf/3j11VeZMWMGeXl56PV6Vq5cSbt27ejYsSN6vR69Xk/btm2ZNWsWX3/9NatXr+auu+7igQceqL0n5AS//fYbGzZs4OzZs5w7d46ZM2fi4+Nj70IJCwvj5ptvZuzYsRw9ehS1Wk1ERITTBimLij3++ON06NCBJ5980tlVqRGGfAs/f3GB1ISKF9cTdUOBIQebzYKb3oeDpzfQKuJmWnX3pNfgwBrJv6rvoQ71D5RMv3N1daVly5YVpuvUqZP9ePfu3dUKRvbv309RUREAnTt3rjCdVqulbdu2bNmyhQMHDmAymZyyFHRV9RkSSKM27mQkFaFQgkIJSoUC/vlecq74k4INpUrB+eTDoCnAaMpDoVBw44ABrF+/ni+nLycrK4vs7GzGjh3LzTffzPDhw/H19SUkJISIiAhiYmJwzy7CalXg7f3vhmFWq42CHAu5WSbyMs3kZpnJyzSTl2Um95/vhXn/NuHo9Epc3FTo3f/5clNhUeaTkHyMc4nHOH3uKKNGjiGoni9DHhxETk42OTk5tG/fnl9//ZWnn36a77//Hk9PT7y8vJgzZw5+gc1JTEwkICCAJk2a0LhxYwDGjRvH008/jZ+fX5lVNU+cOHHR7/ORRx7hkUceqd2b5iSZmZnodDpuueUWwsLCiIiIwNPTk5SUi8eTNGvWzAk1FFX1xBNP8OijjzJy5MhrIlh0cVNx3wuh/PbLRvb9dQgPfRCu6kBcVfUw5KjJyzbDZc3TrAUK0Lko0emV6FxV/3wv7u7NLUymyJJHkSUflGY6d+hORmYa8RfOolarUKnUBAUG4+8XSELieWw2K2qVGgVqPN38KcgvwlBgwmpSYTLaMBqsFBVaKTL+891Q/GWuYGuG2qJUgUqtwGKyVfjhs/QYxFYRNwOQl1nxhpq1xaFg5OTJk0DxwkOXGiUfGRl50TVVderUqXLzKU9ERARbtmzBbDZz9uxZ+5va1UitVRLZxpUC5aniKZAXkrBarTz66KN8//33zJ492z418osvvuD+++9nYNQj9jfxpk2bMmDAABQKBT4+PjRs2BBvb28iIiKwWq107dqVxMRE/v77b86cOUNMTAyxsbG88sorqNVqgoODmTFjBnfddRf/99Z4fHx8CA4OJjw8nNsG3UZeXh5KpRJXV1fMRcX/TBoXBUeOHOLgwYPsPnAApVLJe++9x/PPP8/q1atp3bo1LVu2JKyxL35+frz33rv2+vr5FY8tmTFjRrmD+KZPn37RuSu1udnV7lpr6bmeRUdHs2fPnmsiECmhUCgwWjPZc2Qj8fHxJCQkMGPGDGJuv502rdsQGBhCgG89Goa2oP/NT3D0+EESkv5GqVShVCpp3qQ9/n5B7Ny7AaWyuAvLzc2DVs06kpB0irPxxygyGykyGejQthsNwyKZu+ATDMYCTCYjrq6uPDvmNTZvXcvK1Uux2qyAlQeHPkKvm3rz1DOPkV+Qh9VqwcvLk2++/YZFixby5ptvFi+emJPD//73P5559BmaNbuRgoICPD09CQgI4MHHN7B06VreeP91zGYzFouF8ePHM3r0aO4fMYzTp09jMpmw2WxkZ2ezYMECHnzwQQA0Gg2vv/46r7/+Or169eLUqVPodDo8PDz444+t7NrxF9NnTMNN74Gr3oPojjfRtWNv1q5bSX5+ITqNHp2Ljs7te1BkLiAh6Sx6vQs6Fy2+vsWvsYWFeai1SpQqBQqlDU9Pd1BYyS/IRaG0oVDacHPT4+3jTWpqKmaTBY3SA0OugpwMMznpJrLTi1vKc9LLfvBUKqF1jyvfpVXtbhqj0UibNm0A6NWrF7Nmzbpk+nbt2lFQUEDbtm1ZuHBhlcuZPHkyc+bMAWDx4sW0bt26wrRffvklH330EVA8cLZnz55VLqcyWq0Wk8mEUqkkJCSkxvJNTk5GqVSiVCrRaDR4enpiMpmwWCwolUpUKlWNv3BZrVYsFgsqVfGLQW5urv1cSXBT8k9a0r/t4+ODTqcjKSkJjUaDWq1Gq9XW2PoxQohrT8lrmcVS/Cbn5uZmX7KghKenJ1qtltTUVPs5lUqFr6+vPW3J+BJ3d3e0Wi3Z2dlAcSCkUqlwc3PDZDLZW9EBdDodarWawsJC+5o1CoUCvV5f5vWu5PW3JtlsNvt0eYVCgcVisZ+z2WxotVosFgsGg8E+lkir1eLi4kJ2drY9wAHw9/fHZDKRkZFhz9vNzQ1PT09SU1PLPOeQkBDMZrP9d6lQKHB1dcXb25uMjAx7eQqFgqCgIGw2G1lZWfbfgVarw8VFj6nIhFanoSbHsycmJmK1WtFoNGXq/F/VbhnJz8+3H1dlIyi9Xn/RH2FNl1P6jbG65VSm5J/JarWSkJBQo3mXMBgMFa7VciWV/t3ZbDYsFgtpaWn2cyW/CyGEqI6S1XZLKx2ElFbe62xhYWGV871WXLhw4aJzubm55b5XJCYmlvnZZrORn59f5n205HxSUtJF1/83XW2o7P2j2sGI0fjvgKWqjM0o6fM3GAwOl1PZbpylH69uOZVxcXHBYDCgUqkIDKyZAT1CCCHE9SAlJQWLxVLp1PZqByM63b9LUptMpkrTlzTLVHeOfelyLtW089/Ha3ou/5WIGIUQQojrWbU7zEqvVVCVLpGS5rWqdOk4Wk7pJrzqliOEEEII56p2MKLT6fDxKV7eu7y+p9Kys7PtgUR1d7AsnT45OfmSaUv3l9XkIFMhhBBC1D6HhhI3atQIgHPnzmE2VzwfufT03JJrqlvGf/Mpz+nTp4HizbjCwsKqVY4QQgghnMuhYKRDhw5AcffJoUOHKky3c+dO+3H79u2rVUbr1q3tA2R37NhRYbqioiL27t1rv6aywa5CCCGEuLo4FIz07dvXfrxkyZJy01itVpYtWwYUzyePjo6uVhnu7u507doVgK1bt1bYJbR27Vry8vIuqpcQQggh6gaHgpE2bdrQsWNHoDgY2bNnz0Vp5s6da191ddiwYRdNA166dClRUVFERUVVuL12yaZ3ZrOZiRMnXjRPOSMjg8mTJwPFAU/J5n1CCCGEqDsc3rv+tddeY+jQoRgMBh566CE8PT3Jz89HrVaj0+nsq8Y1bNiQ4cOHO1RG69atadeuHXv27GH9+vX2VVjd3Nzw8/MjMzPTvujNCy+8gJeXc3dlFEIIIUT1ObwWbosWLcq0XGRkZGA0GsnPz7cHImq1mokTJ+Lu7l7t/Ddu3EjXrl3LtLqULC+ck5PD6dOn7YHIPffcw5AhQxx9KkIIIYRwIoeDkaNHjzJv3jygOOjw9vZGq9Xi6upqn/pb0r3iyMJhWVlZFBUVoVQq6dGjBwMGDKBly5Z4eXmhUqnKLG62evVqjhw54uhTEUIIIYQTVXujvBIPP/wwO3bsQK1W8+2339KuXbsyj8fGxjJp0iQAnn76acaOHVut/FeuXMm2bdsYPXo09erVKzfNN998w7vvvgtAly5d+Prrrx14JkIIIYRwJoeCkf3799sHi95///28/fbbF6WxWq3cddddnDx5Ei8vL/74448q7WVTXTExMRw8eBClUsmff/5pb5URQgghRN3gUDfNunXr7McxMTHlZ6xUcs899wDFK7Feaq2Qy9G5c2egOPiJj4+vlTKEEEIIUXscCkZ27doFFO8D07JlywrTderUyX68e/duR4qqVOnN+pRKh4fACCGEEMJJHHr3Llk/JCwsDLW64tnBkZGRF11T00paXNRqNeHh4bVShhBCCCFqT7WDEaPRSGZmJlD55ndeXl72XXQr21TPEXFxcRw7dgyAHj16ODSFWAghhBDOVe1Fz0pP0y0JNC5Fr9dTUFBg3723pmRlZdkHzqpUKsaNG1ej+Zdwc3PDYDCgUqkIDAyslTKEEEKIa1FKSgoWiwUXF5dLLvNR7WDEaDTaj6syO6Zk4zqDwVDdoipksVgYP348CQkJADz55JO0aNGixvIvzWAwYLVasVqt9vKEEEIIUXWVxQDVDkZ0Op39uPTg0YoUFRUBlFmk7HJNnDiRzZs3A9CrVy+eeuqpGsv7v1QqFVarFaVSSUhISK2VI4QQQlxrEhMTsVqtqFSqS6ardjDi5uZmP65K10thYSFQtS6dqpgyZQoLFy4EoEOHDkybNq3SJ3k5AgMDSUhIICQkRKYOCyGEENUQGhpKQkJCpcMcqj2AVafT2RcWq2xQanZ2tj1gqWywa1XMnj2b2bNnA9CyZUtmzZpVoy0uQgghhLjyHJra26hRIwDOnTuH2WyuMN2pU6cuusZR3333HVOmTLHnFRsbi4eHx2XlKYQQQgjncygY6dChA1DcTXPo0KEK0+3cudN+3L59e0eKAmDZsmW88847ADRo0IB58+bh6+vrcH5CCCGEuHo4FIz07dvXfrxkyZJy01itVpYtWwaAp6cn0dHRjhTFmjVrePXVV7HZbAQHB/PVV18RFBTkUF5CCCGEuPo4FIy0adOGjh07AsXByJ49ey5KM3fuXPuqq8OGDbtoGvDSpUuJiooiKiqKGTNmlFvOli1beP7557FYLPj5+TFv3jxCQ0MdqbIQQgghrlLVnk1T4rXXXmPo0KEYDAZGjBjB6NGjiY6OxmAwsHLlSvuMl4YNGzJ8+PBq5793717Gjh2LyWRCo9EwYcIEzGYzx48fr/Ca4OBgPD09HX1KQgghhHACh4ORFi1aMHXqVF588UXy8vL4+OOPL0rTsGFDZs+e7dAy7Zs3b7ZPCzaZTIwfP77Sa95//30GDRpU7bKEEEII4TwOByMAvXv35pdffmH+/PnExcWRnJyMRqMhLCyM2267jYceegi9Xl9TdRVCCCHENUhhs9lszq7E1axkwZb69evLomdCCCFENVT1PdShAaxCCCGEEDVFghEhhBBCOJUEI0IIIYRwKglGhBBCCOFUEowIIYQQwqkkGBFCCCGEU0kwIoQQQginkmBECCGEEE4lwYgQQgghnEqCESGEEEI4lQQjQgghhHAqCUaEEEII4VQSjAghhBDCqSQYEUIIIYRTSTAihBBCCKeSYEQIIYQQTiXBiBBCCCGcSoIRIYQQQjiVBCNCCCGEcCoJRoQQQgjhVBKMCCGEEMKpJBgRQgghhFNJMCKEEEIIp5JgRAghhBBOJcGIEEIIIZxKghEhhBBCOJUEI0IIIYRwKglGhBBCCOFUEowIIYQQwqkkGBFCCCGEU0kwIoQQQginkmBECCGEEE4lwYgQQgghnEqCESGEEEI4lQQjQgghhHAqCUaEEEII4VQSjAghhBDCqSQYEUIIIYRTSTAihBBCCKeSYEQIIYQQTiXBiBBCCCGcSoIRIYQQQjiVBCNCCCGEcCoJRoQQQgjhVBKMCCGEEMKpJBgRQgghhFNJMCKEEEIIp5JgRAghhBBOJcGIEEIIIZxKghEhhBBCOJUEI0IIIYRwKglGhBBCCOFUEowIIYQQwqkkGBFCCCGEU0kwIoQQQginkmBECCGEEE4lwYgQQgghnErt7AqIq5PZbCY9PZ2CggI0Gg06nQ6tVmv/rlRKHCuEEKJmSDBSh9hsNgwGA3l5eeTn55OXl2c/zs/Px2az4e3tja+vL35+fvj6+uLi4lKlvC0WCxkZGSQnJ5Oamkp6ejpWq7XC9FqttkxwotPp7McV/SwBjBBCiPJIMHKVMhgMpKSkkJ6ebg888vPzsVgsAKSkpJCcnExaWhppaWncc889ZGZm8vPPPxMZGUnDhg3RarW4ubnZAxM/Pz+8vb1RqVRYrVYyMzNJSUkhJSWFtLQ0e96XYrPZsNlsFBUVkZGRgdlsxmw2Y7VaCQwMpKCggIKCApRKJUqlEldXV7RaLYWFhWi1WlxcXNBqtWg0GrKzs0lOTiY/P5+CggLq1atHcHAwy5cvJysri4KCAjw8PBg1ahQajQYfHx+Cg4Px9PREo9HU9i0QQghxhUgwcpUwm82kpaWRnJxsDzJUKhUpKSmsXr2atLQ0UlNTueGGGxgyZAjffvstaWlp+Pv74+/vj8lkwmAwcOLECVatWkVqaipDhw7lrrvuYuPGjfj7+xMaGopWq8XT05P8/HxMJpO9bKvVilqt5vfff7cHOiqVimeffZZly5axdOlSzGYzFouFsWPH0rNnT5566ikUCgVqtZrAwEDef/99Nm3axI8//ojVasVisTB8+HBuvvlmxowZQ35+PgAeHh7ExsYSFxfH0qVL0ev16PV67rjjDnx8fEhNTcVqteLu7o7NZiM1NZW1a9cyd+5cAgICCA0NZfDgwfTo0YOkpCRatmxJvXr18PT0RKFQOPM2CiGEcIDCZrPZnF2Jq1loaCgJCQnUr1+f+Pj4Gsu3pGUiOTnZ3jJx7Ngx9u7dy9GjRzlx4gQffvghGo2GuLg4e9BRr149fH19K80/Pz8fs9mMl5cXn3/+OYcOHSI7O5uoqCj+7//+j507d7Jy5UpSUlLIyMhgzJgx9OjRg1mzZuHj40NgYCD16tWjc+fO5OTkkJeXh81mQ61WOzxmxGazYbVa7flUl8FgICEhgYSEBCIjI6lXrx4vvPACSUlJ3H333Tz11FP06NGjyl1TVzOLxcLJkyexWCz4+vraW4NUKpUEXHVQSRerXq93dlWEuKKq+h4qwUglajoYKSwsZP/+/Rw8eJCDBw9y7NgxbDYbw4cP59dffyUtLY1mzZoRFRVVYdChVCpxd3fHzc2tzHer1Up6ejoZGRlkZGRc1O2SnZ1NYmIizZo1Iz4+nuTkZAIDAwkICLC/gXt7exMYGEhQUBD+/v5lukMsFgtFRUUUFRVhNBoxGo3lHpdOU9L6UptKynN3d6dFixa0atWq1susTXl5eaxbt445c+awbt06DAYDSqWSN954gwYNGvD222/j5uaGm5sbUVFRPP7442zfvp1Tp07h4eGBp6cnN910E8HBwRw6dAhvb298fHzw9fXF39+ftLQ0Lly4YO8GjIqKQq/XM3PmTDIzM8nKysLT05Mnn3ySdevWsXPnTvR6Pa6urtx55500atSIZcuW4erqipubG76+vnTu3BmLxYKrqys+Pj64uLjg4uKCWq2+boInq9WKUqnkyJEjbNy4kZMnT3Ly5EmefvppevTowWOPPcb8+fOdXc0ak5WVxYEDB8jLy7O/ZgQEBKDT6ZxdtWqz2WxYLBZ7629JN7NSqbR/AKjrf8dWq5WMjAz8/f1JSkpiy5YtpKSkkJqaSqdOnbjjjjv44osvePLJJ2u03Kq+h0o3zRX2xx9/kJyczLhx44iIiCAqKoqWLVsC0L9//zJpVSoVAQEB+Pj44O7ubg889Hp9hf8YoaGhQPEfXk5ODunp6fYABcDLy8ueLjQ0FE9PTwIDA+1ByaVeSFQqlb1LpbSSP/KSuv33sf8GKSaTyf7PrVQqy/1eclxQUEB2drb9q6SFprSSQbIldazrTpw4gdFoZNiwYQwbNgyr1YrBYLA/x8cff5yCggIKCwtxcXGxDzo+f/48hYWFGAwGdDodgYGBvPnmm/Zz9evXZ+LEiXz//fds2rTJ/jf1wAMPEBERQWJiIu7u7oSHhxMQEEB6ejoeHh40bNgQg8GAwWAgNTUVlUrFtm3b7Oe8vb3x8PBgyZIlLFq0CK1Wi4eHB0888QQdOnTgs88+w9vbGz8/Pxo0aMCAAQNISUkhLy8Pf39/fH190ev1qFQqVCqV/Q1Ap9Ph5uaGVqt12huBxWKxP8/s7GxOnz7N2bNn7eOvJk2aREJCAomJiSgUCmbNmsWmTZvYsWMHQUFB1KtXj2PHjpGWlkb//v3ZtGkTXbp0sd/LuiojI4MNGzbwyy+/sHLlSvvf47hx4+jevTtjx47Fzc0NDw8PGjduzEcffcSOHTvYunWrPTi+9dZbiYqKYseOHbi7u+Pl5YW3tzeenp4VllvS/VvyZTabKSgosLfwZmZmEhwcTEBAAAsWLCA1NZXs7GxMJhPPPvssf/zxB4sXL7a/FvXr14/u3bvz+uuvk5aWhtlsRqVSMWPGDPbt28fy5ctxdXXF1dWVrl270qFDBzZv3mzvRnZzc6NLly4UFRXZg3g3Nzf8/f3x9va2z0QsGcxfG3/H+fn56HQ6zp8/z6ZNm7hw4QIXLlygXbt29O7dm5EjR/LXX3+RmZmJWq1m8+bNHD58mDlz5uDt7W2f9LBt2za8vb05ceIEjRo1uuITDqRlpBI12TJitVpZunQpVqvV/imqNIVCga+vL0FBQQQFBeHr61vpm6vVarX/A1WWtmTQaW5uLjqdjoCAgHKbjW02G/n5+aSmptq7CObNm2cf7KrRaPjwww/54osvePvtt+1vUF999RVDhw7F29sbnU6Hh4cHTZo04bfffuPnn39m0aJFeHp64urqyr333kuXLl0YNWoU2dnZGI1G3Nzc+Pbbb1m0aBEffvghRqMRrVbLq6++yuDBg3nllVcA7K0Cffr04ezZs5w/fx53d3ciIiLo2rVrnR/ceujQIQ4dOuTsajjEYrGQn59PTk4O3t7e6PV64uLiyMnJsf/d3X///axevZoVK1aQk5NDYWEhzz77LF26dOH111+3B0khISHExMQQHx9PZmYmgYGBhISEEBkZSVBQkL1lRqPRYDabKSwstAdeJUGs0WjEYrHw999/k5OTg9FoRKVS0aRJE3sAV/Km1rRpU0JDQ1m7di35+fkkJydTUFDAE088wdq1a/nyyy/x8PDA39+fwYMH06FDB9asWYOnp6f9f9bV1bXS31GTJk1o167dFbgbtae8v9GS2XcKhYLz58/bAxSFQkHbtm05fPgw+/fvtw9y79OnD82aNWPChAn2Qeyenp7Mnz+fhQsX8uWXX9rfvEePHk2vXr147LHHKCwsBIpbcT/99FNWrVrFDz/8YH9dGDhwIF27duWrr75CoVDg6uqKl5cXt956K4mJiZw6dQqNRoNGo6F+/foEBgZy5swZANRqNUqlknr16pGWlsbff/9tr2+TJk2Iiori22+/tf9tFBUV8c4777B7927mzp1r/7B15513cu+99zJ+/HiSkpLsr4czZswgMTGRVatW4efnR0BAAF26dKFz584kJCTg4eGBWq0mJSWFRo0acfr0adatW0daWhoZGRm0bt2aLl268M4773D06FEyMzMxGAx89dVXnDlzhp9++skeYLRu3ZpWrVpx7tw5+1jBS32QLa0mW5ilm6aG1HQ3za5duzh16pT955KWiaCgILKzs9m3bx+nTp3i9OnTPPnkk7Ro0YLGjRvbZ600b96cLVu28Prrr/Pee+/ZWwkWLlxITEwMXl5eeHl54ePjQ6tWrfjhhx9YsWIFa9aswdfXFx8fH26//XYaN27MO++8Q2pqKmlpabi6uvLll18ydepUJkyYQFFREX5+fsyaNYtBgwbx0EMP2btwGjZsyLBhw0hKSiI3N5fAwMAyg0dTU1PJzc0lJycHk8lEp06dOHjwIH/++Sc5OTnk5+fTv39/2rdvT2xsLAqFwv7Pevfdd3P+/HlOnTqFTqejqKiIhg0bEhYWxvTp00lKSrLP4omNjeWHH37glVde4cEHH+S999677PtzNTCbzfz11198/vnnHDhwAE9PTzw8PLj11lvx8fEpc87Ly6vOj5EpaSlTKpUcPnzY/rejVCq55ZZb+PPPP9mwYQO5ubnk5uYybNgwOnfuzOOPP25vjfP29mbChAksX76cRYsWUVRUhM1m46mnnuKmm27imWeeAUCj0eDr68trr73G1q1bWbt2LWq1GpVKxa233kq7du348ssvMZvN+Pr6EhgYyE033WTvKquJFo2IiAg6dep02fk4U1JSEps2barxfG02GwqFApPJhMlkss/e0+l0aDQa8vLyyiw5cKlWlKuBwWCwtwzn5uYSGRlJUlISu3fvtgforVq1olu3bnz44Yf2bnsPDw8mT57MuXPn+O233/Dw8LB3Q7do0YKTJ0+iUCjw9vbGy8urxluEg4KCuOmmm2okLwlGakhNByM2m42EhATeeustEhMTOXfuHK6urmzfvp2ZM2eyfPlyIiIiiIyMZODAgYSFhfH333+jVqtRq9W4uLgQGBhIYWEhZrPZfr5kQGhqaiqZmZlkZmZisVjo3r07W7duZf369fZmzMcff5xu3brx8ssv4+3tbZ9pc/vtt5OVlYXZbMbHx+ea6PKoy0rGFpV0wzz44INotVoeeeQR+yelZs2aERsby6RJk1i3bp29SXn06NEEBgby5Zdf2puJAwMDiY6O5tSpU6Slpdk/Hd5www34+fmxZ88eNBoNWq0WHx8f2rdvz7lz50hOTrb3n9evXx83NzfOnDljDyBUKhUeHh4YjUZ7l4bZbK7V343NZiMzM9PesqLX62nYsKH902pJs/jV9jfs6upKr169cHd3d3ZVLltCQgIzZ85k69at9uUD2rRpg5+fHxaL5ar73VfEZrORnp5OVlYWmZmZmM1munbtah9TVTL+qWQsVHmt2teaDh060KhRoxrJS4KRGlJbs2k++OADQkND7YFHSEhIjeUtrh8lnyQTExNJTEwkJyeHnJwcunbtil6vZ8aMGfZz9erV48UXXyQ2Npbly5fbuwvfffddWrVqxR133GE/16RJE+bNm8f06dP58ssv7V0Z06ZNo2/fvoSHh9vPRUREsGPHDqZOncq8efOoX78+wcHBjBgxgubNm7NixQp7i52bmxtKpdLe5196DMB/xwMYDIaLxgc5i1KpRK1W21tnGjRoQOPGjZk2bRrZ2dn2roCXX36ZY8eOsXXrVtzc3HB1daV169Y0btyYxMREmjdvXucHQpa2f/9+tmzZwunTpzl16hRPPfUUkZGRNG3alKCgIEJCQmjRogUPPvgghw4d4sKFC+h0OvR6PfXr10ev12M0GtHpdNX+vZRuRSkqKrL//QQEBODt7c2BAwfsA1K1Wi29evVi586d/Pbbb/YW4RdeeIH+/fvTpk0bvL29CQkJoXnz5kydOpVvvvmGTz/91L7G01tvvUVMTAwNGzbEZrPh5uZGeHg43377LWvWrGHlypX2ex4dHU14eDjbt29HrVbbx8/4+PjU0p34V+nxd25ubhw/fhyj0Yinpyeenp40aNDA/iGi5ENGSXqlUmkfP1hTf6dXLBi5cOEC33zzDXFxcSQmJqLVagkLC+P222/ngQceqLGpbCtWrGDp0qUcO3aM7OxsAgIC6NChAw8++CBt27atkTLKU1vBiBDXmpSUFE6cOGEfQNevXz8aNWpEv3797FOyw8PDOXToEP/73//4+OOPcXFxQa/XM3XqVO666y569eplbwEMDw/no48+4vfff2fjxo32xfKioqLw8vLi0KFD9tV9rVYrQUFB5OTkkJKSYm/eb9OmDc2bN2fBggX2VYr1ej3jxo1jz549rF692l7/G2+8kXbt2jFv3jyysrLsCw5+9913fPvttzz++OP2VsRXXnmF++67j88//xyTyURBQQFWq5XXXnuNTZs2ERsbax8H8eijj3L//fczbdo0xo0b58Q7dOVkZ2dz5swZTp8+jdVqZdCgQcydO5dFixaRk5NDdnY2H3/8Ma1bt6Z+/fqoVCrc3d1p3749s2fPZt68eSxcuBCTyYTZbGby5Mn07duXyMhIexdOkyZNOHz4MO+//z4ffPCBvQVj+vTpDBw4kG7dutkHQterV4/58+ezdetWdu7cSb169eyBR1WWSiitZBHK3NxcjEYjLVu25NChQ2zZsoXMzEwyMjK4++676d69O/379ychIYG0tDTUajV//PEHX331FdOnT8fT0xN3d3cGDRpE+/btWbBgQZkuqTvvvJP4+HgOHDhgDxi6dOlCx44dWbBggX0FboPBwGeffcZvv/3GK6+8QlpaGjk5OXz44Ye89NJL3H333aSkpJCdnU1+fj5nzpzhu+++Y/To0fbxJc899xyPPfYY8+bNY/jw4TX6t3BFgpG4uDjGjx9Pbm5uuY9HREQwZ84cGjRo4GgRGI1Gxo0bx4YNG8p9XKlUMnbsWMaMGeNwGZciwYgQNaeoqAitVktOTg4ZGRn2rp0GDRrg6+vLqlWrMBqNFBYWolarGTx4MHFxcfz6669kZ2eTk5PDqFGj6NOnD+3btyclJYWCggLCw8PZuXMnixYt4tNPP7VPRR4zZgy33XYbL730EhaLBbVajV6v56233mLr1q0sWbLEHrgMGDCAXr168eabb5KTk0NwcDChoaE88MADGAwGFApFnR+fczWyWCz2cUJms5nIyEjOnTtHSkqKPQANDQ3F3d2dpKQke/eiVqutk+u25ObmEh8fT0ZGBunp6fZxgW+//TYXLlygoKAALy8vZsyYwaZNm1iwYIG91WLgwIH06dOHiRMnkpuba+9mHzVqlH3Kvp+fH35+fpf83ZhMJjIyMsjKyiIrK4vg4GDCw8PZvHkzPXv2rNHnW+vByNGjRxkyZAiFhYW4uroyatQooqOjMRgMrFy5kkWLFgEQGRnJ4sWLcXNzc+iJvPDCCyxfvhyA6Ohohg0bRmBgIMePH2fWrFmcO3cOgHfffZd7773XoTIuRYIRIYQQwjG1vs7Ie++9Z//0Mnfu3DJT1bp27Up4eDiTJk3i1KlTzJs3j7Fjx1a7jB07dtgDkZtvvpnPPvvMPiiqTZs29O7dm5iYGC5cuMCkSZPo16/fVT+6WgghhBBlOTQkeP/+/ezYsQOAmJiYcufMjxgxwj4ad/78+Q6txBkbGwsUL2T11ltvXTQ629fXl/HjxwPFfZSLFy+udhlCCCGEcC6HgpF169bZj2NiYsrPWKnknnvuAYoDhZLgpary8/PZunUrAN26dSM4OLjcdLfccot9mtyaNWuqVYYQQgghnM+hYGTXrl1A8Zz5kqXMy1N6YZ/du3dXq4z9+/dTVFQEQOfOnStMp9Vq7bNpDhw4cEX2QhFCCCFEzXEoGDl58iQAYWFhl9x9NTIy8qJrqqr0KqWl8ylPREQEULxy5dmzZ6tVjhBCCCGcq9rBiNFoJDMzE6DCrpMSXl5e9r0akpKSqlVOYmKi/TgoKOiSaUsvGFb6OiGEEEJc/ao9myY/P99+XJVNofR6vX2jodoqp/R86uqWU5mUlBSgOMgp2RFXCCGEEJUraSAoeS+tSLWDEaPRaD+uyu6oJRtLGQwGh8upbHOq0o9Xt5zKWCwWoHhHyoSEhBrNWwghhLgelLyXVqTawYhOp7MfV2WwaMkg1OquXFi6nJI8KivDkXIq4+LigsFgQKVSERgYWKN5CyGEENeylJQULBZLpe/N1Q5GSq+kWpUukcLCQqBqXTqOllNShiPlVKZ0d5EQQgghal61B7DqdDr7zoOVDUrNzs62BxKVDXb9r9Lpk5OTL5m29KBV2f1WCCGEqFscmtpbsrLquXPnMJvNFaYrPT235JrqlvHffMpz+vRpANRqNWFhYdUqRwghhBDO5VAw0qFDB6C4++TQoUMVptu5c6f9uH379tUqo3Xr1vYBspdavbWoqIi9e/far6lssKsQQgghri4ObZTXt29fZs2aBcCSJUu44YYbLkpjtVpZtmwZAJ6enkRHR1erDHd3d7p27cqmTZvYunUrSUlJ5Xb1rF27lry8PHu9rmYXLlzgm2++IS4ujsTERLRaLWFhYdx+++088MADdXI77LogPT2d/fv3s3//fg4cOMCBAwfIysoCYODAgXzwwQfVym/Tpk0sWrSI/fv3k5GRga+vL23atOG+++7jxhtvrIVncH04dOgQmzdvZteuXZw4cYL09HQ0Gg2BgYG0a9eOwYMH07FjxyrnJ/ep5uXl5bFx40YOHDjAwYMHSU5OJiMjA6PRiIeHB40bN+bGG29k8ODB9u78S5F7dGV99NFHfPnll/af58+fX+l785W6RwqbzWZz5MIHH3yQXbt2oVar+fbbby/aLC82NpZJkyYBMHbsWJ5++ukyjy9dupQJEyZU+DjA1q1befTRRwHo3bs3n376aZnN8jIyMuy79np6evL777/j5eXlyNOpdXFxcYwfP57c3NxyH4+IiGDOnDk0aNDgCtfs2hcVFVXhY9UJRmw2G2+++SYLFy6sMM3999/PxIkTUSgU1a7n9eyhhx4q05Jakbvvvpt33333ki2gcp9qz59//snw4cMrTefj48OkSZPo2bNnuY/LPbryjh49SkxMTJmhFZcKRq70PXKoZQTgtddeY+jQoRgMBkaMGMHo0aOJjo7GYDCwcuVK+xNo2LBhlf54y9O1a1fuvPNOVqxYwfr16xk+fDiPPPIIgYGBHD9+nJkzZ3LhwgUAXnjhhas2EDl69CjPPvsshYWFuLq6MmrUqDK/q0WLFnH69GlGjhzJ4sWLy8wkEjUrJCSERo0asWXLlmpf+8knn9j/rlu0aMHjjz9OgwYNOH/+PLGxsRw+fJiFCxfi4+PDc889V9NVv6aVDFIPDAzktttuo2PHjoSEhGC1Wtm7dy9z584lOTmZn3/+GYvFwpQpUyrMS+5T7QoJCSE6OpqWLVsSEhJCQEAAVquVpKQkVq9ezdq1a8nMzOTJJ59k8eLFNGvW7KI85B5dWVarlf/7v//DbDbj5+dHenp6pddc8Xtkuwzr1q2ztW/f3ta0adNyv2699VbbmTNnyr12yZIl9nTTp0+vsIzCwkLbE088UWEZzZo1u+T1V4OHHnrI1rRpU1uLFi1sf/3110WPz5kzx/58ZsyY4YQaXtumTZtmW79+vS01NdVms9ls58+ft/++X3755SrlcebMGVuLFi1sTZs2tQ0aNMhWWFhY5vGCggLboEGD7Pf57NmzNf48rmUjR460rVixwmY2m8t9PD093Xbrrbfa79vOnTvLTSf3qXZVdH9KW7t2rf0+jR079qLH5R5defPmzbM1bdrUdtttt9mmTJlivz/btm0rN70z7pFDA1hL9O7dm19++YVHH32Uhg0botfr8fT0pFWrVowfP55ly5YRHh5+WcGSi4sLs2fPZvLkyXTv3h0/Pz80Gg0hISHcddddLFiwoNwunqvF/v377QNwY2JiLurOAhgxYoR99tD8+fNl5+Ea9swzz3DzzTfj7+/vcB5fffWVvXnz9ddfv2gBH71ez+uvvw4Ub9j49ddfO17h69CsWbO44447ynTDlubr68srr7xi/3nVqlXlppP7VLsquj+l9e3b1765aXldb3KPrqzExESmTZsGwFtvvVWlldOdcY8uKxgBqF+/PhMmTGD16tXs3buXnTt3smTJEp544olLDsgcNGgQx44d49ixY1UKJvr378/cuXP5888/OXjwIHFxcUyZMqXcN/erybp16+zHMTEx5aZRKpXcc889QPHaLJeaPSSuPJvNZr+PkZGRtG3bttx0bdu2te8g/fvvv2NzbDiWqEDnzp3tx+fPn7/ocblPV4+S1/7S23qA3CNnmDhxIgUFBQwcOLBKE0mcdY8uOxgRl7Zr1y6geGXYli1bVpiuU6dO9uPdu3fXer1E1cXHx9vHNJS+T+UpecNMSkoiPj6+1ut2PSndYljegDm5T1eHkydPcvToUQB7C0kJuUdX1sqVK9mwYQPe3t689NJLVbrGWfdIgpFadvLkSQDCwsJQqyseL1z6n7bkGnF1KH0//vvi+l+lH69ssT5RPaWb/Mu7D3KfnKewsJAzZ84wb948hg0bZt8UbdiwYWXSyT26cnJycvjf//4HwPjx4/H19a3Sdc66Rw7PphGVMxqNZGZmApUvh+/l5YWrqysFBQWVLrMvrqzS2w1Udh9LP176OnF5rFYrs2fPtv98++23X5RG7tOVVXp5hvKMGDGCAQMGlDkn9+jKmTRpEqmpqfY1eqrKWfdIgpFaVHqTvaps4KfX6ykoKKjSBoTiyqnOfSw9TkruY8356quv2L9/PwC33HILrVu3viiN3KerQ/PmzZk4cWK5i2HKPboydu3axY8//ohara72OiDOukcSjNSi0oO3qjKCuWQhJ4PBUGt1EtVXnftYejEuuY81Y8eOHfZ1Rfz8/HjrrbfKTSf36crq27cvrVq1Aop/h+fPn+e33/6/vfsLaaqP4zj+1pqCQSBEf10tikEXeZFBQRel648RQYQQUjRcJRK76g9EWTeLUTcRJEEGYd55kUVRXkRSEVEQJfQH0nZRowujspHkWDKfi3EOs21uPs9z9tvj83mBcPD8jhz9oHz9/e3j/v37HDt2jJMnT1JfXz/pGWXkvEQiwZkzZ5iYmMDv90+56WM2pjLSnBEHVVZW2teFLNdNJBIAGcuoxKzp5GhlCMrx3zA0NEQwGGR8fJyKigouXryYc4m2ciquuXPn4vV68Xq91NbWsmPHDjo6Ojh//jzRaJTDhw/T29s76Rll5LwrV64QiURYvHgxwWBw2s+bykjFiIPSd1ItpAtrbGwMKGxIR4pnOjlaGYJy/Kei0SiBQIBYLMasWbO4cOHCpOW9f1JOpWHXrl00NjaSTCYJhULEYjH7njJyViQSsc+Na29v/1s/N1MZaZjGQZWVlVRXVzMyMpJ3UmosFrODzzdpSIorPY98OabfX7RokWPvNNMNDw/T0tLCly9fKCsrIxwOs2XLlimfUU6lw+fz0dfXx69fv3j8+DE7d+4ElJHTrl+/zu/fv3G73cTjce7evZvRZmhoyL5+9uwZX79+BaC+vp6qqipjGakYcdiKFSt48eIFnz59Ynx8POfy3vRlUdZurFIaVq5caV/nW76Wfj/fsjjJ7vv37wQCAXtjs9OnT9ubAk5FOZWO9GWk1vlhoIycZg2bRKNRjhw5krf95cuX7esHDx5QVVVlLCMN0zisrq4OSHV3vX37Nme79D0U1qxZ4/h7SeFqamqYP38+kH1763TW/QULFlBTU+P4u800P3/+5ODBg3z48AFIHYC5d+/egp5VTqXD2jQLJnffK6PSZyojFSMO27x5s31948aNrG2SySS3bt0CUpPCCtmyV4qnrKwMn88HpP4TGBgYyNpuYGDA/k/B5/Pp6PNpGhsbo7W11S7a29raaG1tLfh55VQ60s8O8nq99rUycta5c+fsY1ZyfaRPau3u7rY/bxUTpjJSMeKw2tpa1q5dC6SKkVevXmW0uXbtmr3r3f79+wtaBizF5ff77SG2UCiUsYwtHo8TCoUAmD17Nn6/v+jv+F+WSCQIBoO8fPkSSP0e/J1jyZWTs3p7ezPOm/lTV1cXjx49AlJnl1m9wxZlVPpMZKQ5I0Vw6tQpmpubicfjBAIB2traWLduHfF4nHv37tHT0wOAx+OhpaXF8NvOPNacHYu1Ky7Ax48fM5Yf7t69O+NrLF++nEAgQGdnJ2/evKG5uZlDhw7hdruJRqNcvXqVd+/eAXDgwAE8Ho8z38wMdfToUZ48eQLA+vXraWpqYnBwMGd7l8tlH9KVTjk5y1q6u3XrVurq6nC73cyZM4fR0VEGBwe5c+eOXVC6XC7Onj2bMU9OGZU+ExmVTeg4xKLo7+/n+PHjjI6OZr3v8Xjo7Oxk2bJlRX6zme/EiRPcvHmz4Pbv37/P+vlkMkl7e3vO4TaApqYmQqEQ5eXqdJyO6W7MtGTJEvr7+7PeU07OaWho4PPnz3nbLVy4kHA4zIYNG7LeV0bmXLp0iY6ODiA1TJNrWkCxM1LPSJE0NDRw+/Zturu7efjwIcPDw7hcLpYuXUpjYyP79u2btLWulJ7y8nLC4TDbtm2jp6eH169fMzIyQnV1NatXr2bPnj1s3LjR9Gv+7ykn53R1dfH06VOeP39OJBLh27dv/Pjxg4qKCubNm8eqVavYtGkT27dvn/LvmTIqfcXOSD0jIiIiYpT6v0RERMQoFSMiIiJilIoRERERMUrFiIiIiBilYkRERESMUjEiIiIiRqkYEREREaNUjIiIiIhRKkZERETEKBUjIiIiYpSKERERETFKxYiIiIgYpWJEREREjFIxIiIiIkapGBERERGj/gIP+i1fq5L9dAAAAABJRU5ErkJggg==\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# combined plot for each rat\n", + "\n", + "for rat_name in ['pippin','ron','ginny','tonks','molly','arthur']:\n", + " \n", + " if rat_name == 'ron':\n", + " arm1_array = prereward_ron_arm1\n", + " arm2_array = prereward_ron_arm2\n", + " head_dir_array = prereward_ron_head_dir\n", + " ymax = 0.3\n", + " elif rat_name == 'ginny':\n", + " arm1_array = prereward_ginny_arm1\n", + " arm2_array = prereward_ginny_arm2\n", + " head_dir_array = prereward_ginny_head_dir\n", + " ymax = 0.2\n", + " elif rat_name == 'tonks':\n", + " arm1_array = prereward_tonks_arm1\n", + " arm2_array = prereward_tonks_arm2\n", + " head_dir_array = prereward_tonks_head_dir\n", + " ymax = 0.21\n", + " elif rat_name == 'molly':\n", + " arm1_array = prereward_molly_arm1\n", + " arm2_array = prereward_molly_arm2\n", + " head_dir_array = prereward_molly_head_dir\n", + " ymax = 0.2\n", + " elif rat_name == 'arthur':\n", + " arm1_array = prereward_arthur_arm1\n", + " arm2_array = prereward_arthur_arm2\n", + " head_dir_array = prereward_arthur_head_dir\n", + " ymax = 0.2\n", + " elif rat_name == 'pippin':\n", + " arm1_array = prereward_pippin_arm1\n", + " arm2_array = prereward_pippin_arm2\n", + " head_dir_array = prereward_pippin_head_dir\n", + " ymax = 0.4\n", + "\n", + " all_trials1 = arm1_array[np.any(arm1_array, axis=1)]\n", + " all_trials1[all_trials1 == 0] = np.nan\n", + " std_error1 = np.std(all_trials1,axis=0)/np.sqrt(all_trials1.shape[0])\n", + " std_dev1 = np.std(all_trials1,axis=0)\n", + "\n", + " all_trials2 = arm2_array[np.any(arm2_array, axis=1)]\n", + " all_trials2[all_trials2 == 0] = np.nan\n", + " std_error2 = np.std(all_trials2,axis=0)/np.sqrt(all_trials2.shape[0])\n", + " std_dev2 = np.std(all_trials2,axis=0)\n", + "\n", + " all_trials = head_dir_array[np.any(head_dir_array, axis=1)]\n", + " all_trials[all_trials == 0] = np.nan\n", + " std_error = np.std(all_trials,axis=0)/np.sqrt(all_trials.shape[0])\n", + " std_dev0 = np.std(all_trials,axis=0)\n", + "\n", + " import matplotlib.pyplot as plt\n", + " matplotlib.rcParams['axes.linewidth'] = 2\n", + " fig, axs = plt.subplots(3, figsize=(6,4))\n", + " # arm 2\n", + " axs[0].plot(np.mean(all_trials2,axis=0),'deepskyblue',linewidth=3)\n", + " #axs[0].plot(np.mean(all_trials2,axis=0)+std_dev2,'k--',linewidth=0.75,alpha=0.5)\n", + " #axs[0].plot(np.mean(all_trials2,axis=0)-std_dev2,'k--',linewidth=0.75,alpha=0.5)\n", + " axs[0].plot(np.percentile(all_trials2, 25,axis=0),'k--',linewidth=0.75)\n", + " axs[0].plot(np.percentile(all_trials2, 75,axis=0),'k--',linewidth=0.75)\n", + "\n", + " axs[0].set_ylim(0,ymax)\n", + " axs[0].set_xticks([])\n", + " axs[0].title.set_text(rat_name)\n", + "\n", + " # arm 1\n", + " axs[1].plot(np.mean(all_trials1,axis=0),'mediumpurple',linewidth=3)\n", + " #axs[1].plot(np.mean(all_trials1,axis=0)+std_dev1,'k--',linewidth=0.75,alpha=0.5)\n", + " #axs[1].plot(np.mean(all_trials1,axis=0)-std_dev1,'k--',linewidth=0.75,alpha=0.5)\n", + " axs[1].plot(np.percentile(all_trials1, 25,axis=0),'k--',linewidth=0.75)\n", + " axs[1].plot(np.percentile(all_trials1, 75,axis=0),'k--',linewidth=0.75)\n", + " axs[1].set_ylim(0,ymax)\n", + " axs[1].set_xticks([])\n", + "\n", + " # head dir\n", + " axs[2].plot(np.mean(all_trials,axis=0),'darkgrey',linewidth=3)\n", + " #axs[2].plot(np.mean(all_trials,axis=0)+std_dev0,'k--',linewidth=0.75,alpha=0.5)\n", + " #axs[2].plot(np.mean(all_trials,axis=0)-std_dev0,'k--',linewidth=0.75,alpha=0.5)\n", + " axs[2].plot(np.percentile(all_trials, 25,axis=0),'k--',linewidth=0.75)\n", + " axs[2].plot(np.percentile(all_trials, 75,axis=0),'k--',linewidth=0.75)\n", + " axs[2].set_ylim(0,ymax)\n", + "\n", + " for ax, color in zip([axs[0],axs[1],axs[2]], ['black', 'black', 'black']):\n", + " plt.setp(ax.spines.values(), color=color)\n", + " #plt.setp([ax.get_xticklines(), ax.get_yticklines()], color=color)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9303150b", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "208b5c22", + "metadata": {}, + "source": [ + "## Figure 4" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "eea9976d", + "metadata": {}, + "outputs": [], + "source": [ + "# figure 4A - head direction example" + ] + }, + { + "cell_type": "code", + "execution_count": 130, + "id": "7dae1385", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 130, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# load and plot posterior - head direction\n", + "file = open('/stelmo/mcoulter/coulter_all_figures/figure2a_decode.pkl','rb')\n", + "posterior_to_plot = pickle.load(file)\n", + "file.close()\n", + "\n", + "posterior_to_plot_reset = posterior_to_plot.reset_index()\n", + "\n", + "posterior_offline1 = posterior_to_plot.iloc[:,27:68]\n", + "posterior_offline2 = posterior_offline1.fillna(0)\n", + "post_heatmap = posterior_offline2.transpose()\n", + "post_heatmap = post_heatmap.iloc[::-1]\n", + "\n", + "# size for individual reward events: (5,6)\n", + "matplotlib.rcParams.update({'font.size': 12})\n", + "gs_kw = dict(height_ratios=[1])\n", + "fig, axd = plt.subplot_mosaic([['lower']],\n", + " gridspec_kw=gs_kw, figsize=(8,4),\n", + " layout=\"constrained\")\n", + "sns.set_style(\"whitegrid\", {'axes.grid' : False})\n", + "\n", + "fig.suptitle('Tonks 10-27 run 1')\n", + "\n", + "axd['lower'] = (sns.heatmap(post_heatmap,vmin=0.1, vmax=0.5,cmap='bone_r'))\n", + "axd['lower'].hlines([30,14], lw=1, color='k',alpha=1,linestyles='dashed',*axd['lower'].get_xlim())\n", + "axd['lower'].plot(np.arange(0,posterior_to_plot_pos.shape[0]),\n", + " 41-posterior_to_plot_pos['real_pos'].values,alpha=1,color='green',lw=2) \n", + "axd['lower'].tick_params(axis='both', length=5, width = 2)\n", + "#axd['lower'].vlines(ripple_end_plot,lw=0.5,color='w',*axd['lower'].get_ylim())\n", + "axd['lower'].hlines([41-0.2,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].vlines([posterior_to_plot_pos.shape[0]-1.1,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "#axd['lower'].vlines([posterior_to_plot_pos.shape[0]/2], lw=1, color='r',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].scatter(posterior_to_plot_pos.shape[0]/2,\n", + " 41-10,s=30,color='r')\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e221d344", + "metadata": {}, + "outputs": [], + "source": [ + "# Figure 4B - neurofeedback example" + ] + }, + { + "cell_type": "code", + "execution_count": 127, + "id": "d5d11948", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 127, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# load and plot posterior - remote representations\n", + "file = open('/stelmo/mcoulter/coulter_all_figures/figure2b_decode.pkl','rb')\n", + "posterior_to_plot = pickle.load(file)\n", + "file.close()\n", + "\n", + "posterior_to_plot_reset = posterior_to_plot.reset_index()\n", + "\n", + "posterior_offline1 = posterior_to_plot.iloc[:,27:68]\n", + "posterior_offline2 = posterior_offline1.fillna(0)\n", + "post_heatmap = posterior_offline2.transpose()\n", + "post_heatmap = post_heatmap.iloc[::-1]\n", + "\n", + "# size for individual reward events: (5,6)\n", + "matplotlib.rcParams.update({'font.size': 12})\n", + "gs_kw = dict(height_ratios=[1])\n", + "fig, axd = plt.subplot_mosaic([['lower']],\n", + " gridspec_kw=gs_kw, figsize=(8,4),\n", + " layout=\"constrained\")\n", + "sns.set_style(\"whitegrid\", {'axes.grid' : False})\n", + "\n", + "fig.suptitle('Tonks 11-3 run 1')\n", + "\n", + "axd['lower'] = (sns.heatmap(post_heatmap,vmin=0.1, vmax=0.5,cmap='bone_r'))\n", + "axd['lower'].hlines([30,14], lw=1, color='k',alpha=1,linestyles='dashed',*axd['lower'].get_xlim())\n", + "axd['lower'].plot(np.arange(0,posterior_to_plot_pos.shape[0]),\n", + " 41-posterior_to_plot_pos['real_pos'].values,alpha=1,color='green',lw=2) \n", + "axd['lower'].tick_params(axis='both', length=5, width = 2)\n", + "#axd['lower'].vlines(ripple_end_plot,lw=0.5,color='w',*axd['lower'].get_ylim())\n", + "axd['lower'].hlines([41-0.2,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].vlines([posterior_to_plot_pos.shape[0]-1.1,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "#axd['lower'].vlines([posterior_to_plot_pos.shape[0]/2], lw=1, color='r',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].scatter(posterior_to_plot_pos.shape[0]/2,\n", + " 41-10,s=30,color='r')\n", + " " + ] + }, + { + "cell_type": "markdown", + "id": "ddaadafd", + "metadata": {}, + "source": [ + "## Figure 4C" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bcdfeda7", + "metadata": {}, + "outputs": [], + "source": [ + "# 4 dictionaries\n", + "#remote_fraction_dict\n", + "#remote_fraction_dict_no_trigger\n", + "#remote_fraction_dict_opposite\n", + "#remote_fraction_dict_base" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8c1f4591", + "metadata": {}, + "outputs": [], + "source": [ + "# Figure 4C - arm end (target)" + ] + }, + { + "cell_type": "code", + "execution_count": 384, + "id": "23428655", + "metadata": {}, + "outputs": [], + "source": [ + "# load remote fraction dict\n", + "file = open('/stelmo/mcoulter/coulter_all_figures/remote_fraction_dict.pkl','rb')\n", + "remote_fraction_dict = pickle.load(file)\n", + "file.close()\n", + "\n", + "ron_head_dir_target = remote_fraction_dict[1]\n", + "ron_content_target = remote_fraction_dict[2]\n", + "tonks_head_dir_target = remote_fraction_dict[3]\n", + "tonks_content_target = remote_fraction_dict[4]\n", + "arthur_head_dir_target = remote_fraction_dict[5]\n", + "arthur_content_target = remote_fraction_dict[6]\n", + "molly_head_dir_target = remote_fraction_dict[7]\n", + "molly_content_target = remote_fraction_dict[8]\n", + "ginny_head_dir_target = remote_fraction_dict[9]\n", + "ginny_content_target = remote_fraction_dict[10]\n", + "pippin_head_dir_target = remote_fraction_dict[11]\n", + "pippin_content_target = remote_fraction_dict[12]" + ] + }, + { + "cell_type": "code", + "execution_count": 317, + "id": "f29e2cb6", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "09-Dec-24 23:52:29 Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n", + "09-Dec-24 23:52:29 Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# makes nice bar plot\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patches\n", + "\n", + "sns.set_style(\"ticks\", {'axes.grid' : False})\n", + "\n", + "pippin_head_dir_plot = pippin_head_dir_target.copy()\n", + "pippin_content_plot = pippin_content_target.copy()\n", + " \n", + "tonks_head_dir_plot = tonks_head_dir_target.copy()\n", + "tonks_content_plot = tonks_content_target.copy()\n", + "\n", + "ginny_head_dir_plot = ginny_head_dir_target.copy()\n", + "ginny_content_plot = ginny_content_target.copy()\n", + " \n", + "ron_head_dir_plot = ron_head_dir_target.copy()\n", + "ron_content_plot = ron_content_target.copy()\n", + " \n", + "molly_head_dir_plot = molly_head_dir_target.copy()\n", + "molly_content_plot = molly_content_target.copy()\n", + " \n", + "arthur_head_dir_plot = arthur_head_dir_target.copy()\n", + "arthur_content_plot = arthur_content_target.copy()\n", + " \n", + "matplotlib.rcParams.update({'font.size': 20})\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 0\n", + "plt.rcParams['ytick.major.width'] = 2\n", + "\n", + "fig, ax = plt.subplots()\n", + "fig.set_size_inches(18,10)\n", + "\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.spines['bottom'].set_color('black')\n", + "ax.spines['left'].set_color('black')\n", + "ax.spines['bottom'].set_linewidth(2)\n", + "ax.spines['left'].set_linewidth(2)\n", + "\n", + "#ax.tick_params(axis='y',direction='out',length=6,width=2, colors='r')\n", + "#ax.yaxis.set_ticks([0,1,2])\n", + "\n", + "# note: for opposite arm:\n", + "#palette=['grey','silver']\n", + "\n", + "swarm = 1\n", + "\n", + "if swarm == 1:\n", + " swarm_ax = sns.stripplot(x=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(1,len(pippin_content_plot)),\n", + " \n", + " np.repeat(6,len(tonks_head_dir_plot)),\n", + " np.repeat(6,len(tonks_content_plot)),\n", + " \n", + " np.repeat(7,len(ginny_head_dir_plot)),\n", + " np.repeat(7,len(ginny_content_plot)),\n", + " \n", + " np.repeat(8,len(ron_head_dir_plot)),\n", + " np.repeat(8,len(ron_content_plot)),\n", + " \n", + " np.repeat(9,len(molly_head_dir_plot)),\n", + " np.repeat(9,len(molly_content_plot)),\n", + " \n", + " np.repeat(10,len(arthur_head_dir_plot)),\n", + " np.repeat(10,len(arthur_content_plot)),\n", + "\n", + " ]), \n", + " y=np.concatenate([pippin_head_dir_plot,\n", + " pippin_content_plot,\n", + " \n", + " tonks_head_dir_plot,\n", + " tonks_content_plot,\n", + " \n", + " ginny_head_dir_plot,\n", + " ginny_content_plot,\n", + " \n", + " ron_head_dir_plot,\n", + " ron_content_plot,\n", + " \n", + " molly_head_dir_plot,\n", + " molly_content_plot,\n", + " \n", + " arthur_head_dir_plot,\n", + " arthur_content_plot,\n", + " ]), \n", + " hue=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(2,len(pippin_content_plot)),\n", + " \n", + " np.repeat(1,len(tonks_head_dir_plot)),\n", + " np.repeat(2,len(tonks_content_plot)),\n", + " \n", + " np.repeat(1,len(ginny_head_dir_plot)),\n", + " np.repeat(2,len(ginny_content_plot)),\n", + " \n", + " np.repeat(1,len(ron_head_dir_plot)),\n", + " np.repeat(2,len(ron_content_plot)),\n", + " \n", + " np.repeat(1,len(molly_head_dir_plot)),\n", + " np.repeat(2,len(molly_content_plot)),\n", + " \n", + " np.repeat(1,len(arthur_head_dir_plot)),\n", + " np.repeat(2,len(arthur_content_plot)),\n", + "\n", + " ]), \n", + " palette=['grey','blue'], \n", + " #palette=['grey','silver'], \n", + " alpha=1,zorder=1,size=15,edgecolor='white',linewidth=1,dodge=True)\n", + "\n", + "t_ax = sns.boxplot(x=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(1,len(pippin_content_plot)),\n", + " \n", + " np.repeat(2,len(tonks_head_dir_plot)),\n", + " np.repeat(2,len(tonks_content_plot)),\n", + " \n", + " np.repeat(3,len(ginny_head_dir_plot)),\n", + " np.repeat(3,len(ginny_content_plot)),\n", + " \n", + " np.repeat(4,len(ron_head_dir_plot)),\n", + " np.repeat(4,len(ron_content_plot)),\n", + " \n", + " np.repeat(5,len(molly_head_dir_plot)),\n", + " np.repeat(5,len(molly_content_plot)),\n", + " \n", + " np.repeat(6,len(arthur_head_dir_plot)),\n", + " np.repeat(6,len(arthur_content_plot)),\n", + " ]), \n", + " y=np.concatenate([pippin_head_dir_plot,\n", + " pippin_content_plot,\n", + " \n", + " tonks_head_dir_plot,\n", + " tonks_content_plot,\n", + " \n", + " ginny_head_dir_plot,\n", + " ginny_content_plot,\n", + " \n", + " ron_head_dir_plot,\n", + " ron_content_plot,\n", + " \n", + " molly_head_dir_plot,\n", + " molly_content_plot,\n", + " \n", + " arthur_head_dir_plot,\n", + " arthur_content_plot,\n", + " ]), \n", + " hue = np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(2,len(pippin_content_plot)),\n", + " \n", + " np.repeat(1,len(tonks_head_dir_plot)),\n", + " np.repeat(2,len(tonks_content_plot)),\n", + " \n", + " np.repeat(1,len(ginny_head_dir_plot)),\n", + " np.repeat(2,len(ginny_content_plot)),\n", + " \n", + " np.repeat(1,len(ron_head_dir_plot)),\n", + " np.repeat(2,len(ron_content_plot)),\n", + " \n", + " np.repeat(1,len(molly_head_dir_plot)),\n", + " np.repeat(2,len(molly_content_plot)),\n", + " \n", + " np.repeat(1,len(arthur_head_dir_plot)),\n", + " np.repeat(2,len(arthur_content_plot)),\n", + " ]),\n", + " #capsize=0.1,errcolor='black',\n", + " linewidth=3, #facecolor=(1, 1, 1, 0),\n", + " palette=['grey','blue'],\n", + " #palette=['grey','silver'], \n", + " #errwidth=3,\n", + " zorder=2,showfliers=False,showcaps=False)\n", + "\n", + "for patch in t_ax.patches:\n", + " patch.set_alpha(0.5)\n", + " \n", + "ax.get_legend().remove()\n", + " \n", + "plt.ylim(0,0.08)\n", + "\n", + "#filename = '/cumulus/mcoulter/content_figures/plot_pdf/target_bar_new_4c.pdf' \n", + "#plt.savefig(filename, format=\"pdf\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "59ed791b", + "metadata": {}, + "outputs": [], + "source": [ + "# Figure 4D - arm base" + ] + }, + { + "cell_type": "code", + "execution_count": 386, + "id": "671e13e1", + "metadata": {}, + "outputs": [], + "source": [ + "# load remote fraction dict\n", + "file = open('/stelmo/mcoulter/coulter_all_figures/remote_fraction_dict_base.pkl','rb')\n", + "remote_fraction_dict = pickle.load(file)\n", + "file.close()\n", + "\n", + "ron_head_dir_target = remote_fraction_dict[1]\n", + "ron_content_target = remote_fraction_dict[2]\n", + "tonks_head_dir_target = remote_fraction_dict[3]\n", + "tonks_content_target = remote_fraction_dict[4]\n", + "arthur_head_dir_target = remote_fraction_dict[5]\n", + "arthur_content_target = remote_fraction_dict[6]\n", + "molly_head_dir_target = remote_fraction_dict[7]\n", + "molly_content_target = remote_fraction_dict[8]\n", + "ginny_head_dir_target = remote_fraction_dict[9]\n", + "ginny_content_target = remote_fraction_dict[10]\n", + "pippin_head_dir_target = remote_fraction_dict[11]\n", + "pippin_content_target = remote_fraction_dict[12]" + ] + }, + { + "cell_type": "code", + "execution_count": 320, + "id": "1491a76e", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "09-Dec-24 23:53:24 Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n", + "09-Dec-24 23:53:24 Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# makes nice bar plot\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patches\n", + "\n", + "sns.set_style(\"ticks\", {'axes.grid' : False})\n", + "\n", + "pippin_head_dir_plot = pippin_head_dir_target.copy()\n", + "pippin_content_plot = pippin_content_target.copy()\n", + " \n", + "tonks_head_dir_plot = tonks_head_dir_target.copy()\n", + "tonks_content_plot = tonks_content_target.copy()\n", + "\n", + "ginny_head_dir_plot = ginny_head_dir_target.copy()\n", + "ginny_content_plot = ginny_content_target.copy()\n", + " \n", + "ron_head_dir_plot = ron_head_dir_target.copy()\n", + "ron_content_plot = ron_content_target.copy()\n", + " \n", + "molly_head_dir_plot = molly_head_dir_target.copy()\n", + "molly_content_plot = molly_content_target.copy()\n", + " \n", + "arthur_head_dir_plot = arthur_head_dir_target.copy()\n", + "arthur_content_plot = arthur_content_target.copy()\n", + " \n", + "matplotlib.rcParams.update({'font.size': 20})\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 0\n", + "plt.rcParams['ytick.major.width'] = 2\n", + "\n", + "fig, ax = plt.subplots()\n", + "fig.set_size_inches(18,10)\n", + "\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.spines['bottom'].set_color('black')\n", + "ax.spines['left'].set_color('black')\n", + "ax.spines['bottom'].set_linewidth(2)\n", + "ax.spines['left'].set_linewidth(2)\n", + "\n", + "#ax.tick_params(axis='y',direction='out',length=6,width=2, colors='r')\n", + "#ax.yaxis.set_ticks([0,1,2])\n", + "\n", + "# note: for opposite arm:\n", + "#palette=['grey','silver']\n", + "\n", + "swarm = 1\n", + "\n", + "if swarm == 1:\n", + " swarm_ax = sns.stripplot(x=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(1,len(pippin_content_plot)),\n", + " \n", + " np.repeat(6,len(tonks_head_dir_plot)),\n", + " np.repeat(6,len(tonks_content_plot)),\n", + " \n", + " np.repeat(7,len(ginny_head_dir_plot)),\n", + " np.repeat(7,len(ginny_content_plot)),\n", + " \n", + " np.repeat(8,len(ron_head_dir_plot)),\n", + " np.repeat(8,len(ron_content_plot)),\n", + " \n", + " np.repeat(9,len(molly_head_dir_plot)),\n", + " np.repeat(9,len(molly_content_plot)),\n", + " \n", + " np.repeat(10,len(arthur_head_dir_plot)),\n", + " np.repeat(10,len(arthur_content_plot)),\n", + "\n", + " ]), \n", + " y=np.concatenate([pippin_head_dir_plot,\n", + " pippin_content_plot,\n", + " \n", + " tonks_head_dir_plot,\n", + " tonks_content_plot,\n", + " \n", + " ginny_head_dir_plot,\n", + " ginny_content_plot,\n", + " \n", + " ron_head_dir_plot,\n", + " ron_content_plot,\n", + " \n", + " molly_head_dir_plot,\n", + " molly_content_plot,\n", + " \n", + " arthur_head_dir_plot,\n", + " arthur_content_plot,\n", + " ]), \n", + " hue=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(2,len(pippin_content_plot)),\n", + " \n", + " np.repeat(1,len(tonks_head_dir_plot)),\n", + " np.repeat(2,len(tonks_content_plot)),\n", + " \n", + " np.repeat(1,len(ginny_head_dir_plot)),\n", + " np.repeat(2,len(ginny_content_plot)),\n", + " \n", + " np.repeat(1,len(ron_head_dir_plot)),\n", + " np.repeat(2,len(ron_content_plot)),\n", + " \n", + " np.repeat(1,len(molly_head_dir_plot)),\n", + " np.repeat(2,len(molly_content_plot)),\n", + " \n", + " np.repeat(1,len(arthur_head_dir_plot)),\n", + " np.repeat(2,len(arthur_content_plot)),\n", + "\n", + " ]), \n", + " palette=['grey','blue'], \n", + " #palette=['grey','silver'], \n", + " alpha=1,zorder=1,size=15,edgecolor='white',linewidth=1,dodge=True)\n", + "\n", + "t_ax = sns.boxplot(x=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(1,len(pippin_content_plot)),\n", + " \n", + " np.repeat(2,len(tonks_head_dir_plot)),\n", + " np.repeat(2,len(tonks_content_plot)),\n", + " \n", + " np.repeat(3,len(ginny_head_dir_plot)),\n", + " np.repeat(3,len(ginny_content_plot)),\n", + " \n", + " np.repeat(4,len(ron_head_dir_plot)),\n", + " np.repeat(4,len(ron_content_plot)),\n", + " \n", + " np.repeat(5,len(molly_head_dir_plot)),\n", + " np.repeat(5,len(molly_content_plot)),\n", + " \n", + " np.repeat(6,len(arthur_head_dir_plot)),\n", + " np.repeat(6,len(arthur_content_plot)),\n", + " ]), \n", + " y=np.concatenate([pippin_head_dir_plot,\n", + " pippin_content_plot,\n", + " \n", + " tonks_head_dir_plot,\n", + " tonks_content_plot,\n", + " \n", + " ginny_head_dir_plot,\n", + " ginny_content_plot,\n", + " \n", + " ron_head_dir_plot,\n", + " ron_content_plot,\n", + " \n", + " molly_head_dir_plot,\n", + " molly_content_plot,\n", + " \n", + " arthur_head_dir_plot,\n", + " arthur_content_plot,\n", + " ]), \n", + " hue = np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(2,len(pippin_content_plot)),\n", + " \n", + " np.repeat(1,len(tonks_head_dir_plot)),\n", + " np.repeat(2,len(tonks_content_plot)),\n", + " \n", + " np.repeat(1,len(ginny_head_dir_plot)),\n", + " np.repeat(2,len(ginny_content_plot)),\n", + " \n", + " np.repeat(1,len(ron_head_dir_plot)),\n", + " np.repeat(2,len(ron_content_plot)),\n", + " \n", + " np.repeat(1,len(molly_head_dir_plot)),\n", + " np.repeat(2,len(molly_content_plot)),\n", + " \n", + " np.repeat(1,len(arthur_head_dir_plot)),\n", + " np.repeat(2,len(arthur_content_plot)),\n", + " ]),\n", + " #capsize=0.1,errcolor='black',\n", + " linewidth=3, #facecolor=(1, 1, 1, 0),\n", + " palette=['grey','blue'],\n", + " #palette=['grey','silver'], \n", + " #errwidth=3,\n", + " zorder=2,showfliers=False,showcaps=False)\n", + "\n", + "for patch in t_ax.patches:\n", + " patch.set_alpha(0.5)\n", + " \n", + "ax.get_legend().remove()\n", + " \n", + "plt.ylim(0,0.08)\n", + "plt.title('arm base - control')\n", + "\n", + "#filename = '/cumulus/mcoulter/content_figures/plot_pdf/armbase_bar_new_4d.pdf' \n", + "#plt.savefig(filename, format=\"pdf\")" + ] + }, + { + "cell_type": "code", + "execution_count": 267, + "id": "9c84451e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "arm end: content 1.9832877117941194 head dir 1.0\n" + ] + } + ], + "source": [ + "# normalized lists - for bar plot visualization\n", + "# arm end\n", + "\n", + "arthur_content_end_norm = np.array(arthur_content_target)/np.mean(np.array(arthur_head_dir_target))\n", + "arthur_head_dir_end_norm = np.array(arthur_head_dir_target)/np.mean(np.array(arthur_head_dir_target))\n", + "\n", + "ginny_content_end_norm = np.array(ginny_content_target)/np.mean(np.array(ginny_head_dir_target))\n", + "ginny_head_dir_end_norm = np.array(ginny_head_dir_target)/np.mean(np.array(ginny_head_dir_target))\n", + "\n", + "tonks_content_end_norm = np.array(tonks_content_target)/np.mean(np.array(tonks_head_dir_target))\n", + "tonks_head_dir_end_norm = np.array(tonks_head_dir_target)/np.mean(np.array(tonks_head_dir_target))\n", + "\n", + "molly_content_end_norm = np.array(molly_content_target)/np.mean(np.array(molly_head_dir_target))\n", + "molly_head_dir_end_norm = np.array(molly_head_dir_target)/np.mean(np.array(molly_head_dir_target))\n", + "\n", + "ron_content_end_norm = np.array(ron_content_target)/np.mean(np.array(ron_head_dir_target))\n", + "ron_head_dir_end_norm = np.array(ron_head_dir_target)/np.mean(np.array(ron_head_dir_target))\n", + "\n", + "pippin_content_end_norm = np.array(pippin_content_target)/np.mean(np.array(pippin_head_dir_target))\n", + "pippin_head_dir_end_norm = np.array(pippin_head_dir_target)/np.mean(np.array(pippin_head_dir_target))\n", + "\n", + "# arm end\n", + "all_content_end_norm = np.concatenate([arthur_content_end_norm,molly_content_end_norm,\n", + " ron_content_end_norm,pippin_content_end_norm,\n", + " tonks_content_end_norm,ginny_content_end_norm])\n", + "\n", + "all_head_dir_end_norm = np.concatenate([arthur_head_dir_end_norm,molly_head_dir_end_norm,\n", + " ron_head_dir_end_norm,pippin_head_dir_end_norm,\n", + " tonks_head_dir_end_norm,ginny_head_dir_end_norm])\n", + "\n", + "print('arm end: content',np.mean(all_content_end_norm),'head dir',np.mean(all_head_dir_end_norm))\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 269, + "id": "cfc2ac5d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "arm base: content 1.0501063627124085 head dir 1.0\n" + ] + } + ], + "source": [ + "# normalized lists - arm base\n", + "\n", + "arthur_content_end_norm = np.array(arthur_content_target)/np.mean(np.array(arthur_head_dir_target))\n", + "arthur_head_dir_end_norm = np.array(arthur_head_dir_target)/np.mean(np.array(arthur_head_dir_target))\n", + "\n", + "ginny_content_end_norm = np.array(ginny_content_target)/np.mean(np.array(ginny_head_dir_target))\n", + "ginny_head_dir_end_norm = np.array(ginny_head_dir_target)/np.mean(np.array(ginny_head_dir_target))\n", + "\n", + "tonks_content_end_norm = np.array(tonks_content_target)/np.mean(np.array(tonks_head_dir_target))\n", + "tonks_head_dir_end_norm = np.array(tonks_head_dir_target)/np.mean(np.array(tonks_head_dir_target))\n", + "\n", + "molly_content_end_norm = np.array(molly_content_target)/np.mean(np.array(molly_head_dir_target))\n", + "molly_head_dir_end_norm = np.array(molly_head_dir_target)/np.mean(np.array(molly_head_dir_target))\n", + "\n", + "ron_content_end_norm = np.array(ron_content_target)/np.mean(np.array(ron_head_dir_target))\n", + "ron_head_dir_end_norm = np.array(ron_head_dir_target)/np.mean(np.array(ron_head_dir_target))\n", + "\n", + "pippin_content_end_norm = np.array(pippin_content_target)/np.mean(np.array(pippin_head_dir_target))\n", + "pippin_head_dir_end_norm = np.array(pippin_head_dir_target)/np.mean(np.array(pippin_head_dir_target))\n", + "\n", + "# arm base\n", + "all_content_base_norm = np.concatenate([arthur_content_end_norm,molly_content_end_norm,\n", + " ron_content_end_norm,pippin_content_end_norm,\n", + " tonks_content_end_norm,ginny_content_end_norm])\n", + "\n", + "all_head_dir_base_norm = np.concatenate([arthur_head_dir_end_norm,molly_head_dir_end_norm,\n", + " ron_head_dir_end_norm,pippin_head_dir_end_norm,\n", + " tonks_head_dir_end_norm,ginny_head_dir_end_norm])\n", + "\n", + "print('arm base: content',np.mean(all_content_base_norm),'head dir',np.mean(all_head_dir_base_norm))" + ] + }, + { + "cell_type": "code", + "execution_count": 270, + "id": "92e8e3e9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'grouped analysis')" + ] + }, + "execution_count": 270, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# summary bar plot\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patches\n", + "\n", + "matplotlib.rc('xtick', labelsize=20) \n", + "matplotlib.rc('ytick', labelsize=20) \n", + "matplotlib.rcParams.update({'font.size': 20})\n", + "\n", + "sns.set_style(\"ticks\", {'axes.grid' : False})\n", + "\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 0\n", + "plt.rcParams['ytick.major.width'] = 2\n", + "\n", + "all_content_end_norm \n", + "all_head_dir_end_norm \n", + "\n", + "# add two more variables for arm base\n", + "all_content_base_norm \n", + "all_head_dir_base_norm \n", + "\n", + "fig, ax = plt.subplots()\n", + "fig.set_size_inches(6,8)\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.spines['bottom'].set_color('black')\n", + "ax.spines['left'].set_color('black')\n", + "ax.spines['bottom'].set_linewidth(2)\n", + "ax.spines['left'].set_linewidth(2)\n", + "\n", + "t_ax = sns.barplot(x=np.concatenate([np.repeat(1,len(all_head_dir_end_norm)),\n", + " np.repeat(1,len(all_content_end_norm)),\n", + " np.array([1]),\n", + " np.repeat(1,len(all_head_dir_base_norm)),\n", + " np.repeat(1,len(all_content_base_norm)),\n", + "\n", + " ]), \n", + " y=np.concatenate([all_head_dir_end_norm,\n", + " all_content_end_norm,\n", + " np.array([0]),\n", + " all_head_dir_base_norm,\n", + " all_content_base_norm,\n", + "\n", + " ]), \n", + " hue = np.concatenate([np.repeat(1,len(all_head_dir_end_norm)),\n", + " np.repeat(2,len(all_content_end_norm)),\n", + " np.array([3]),\n", + " np.repeat(4,len(all_head_dir_base_norm)),\n", + " np.repeat(5,len(all_content_base_norm)),\n", + "\n", + " ]),\n", + " capsize=0.1,errcolor='black',\n", + " linewidth=4, #facecolor=(1, 1, 1, 0),\n", + " palette=['grey','blue','white','grey','blue'],\n", + " errwidth=3,zorder=2)\n", + "\n", + "\n", + "for patch in t_ax.patches:\n", + " clr = patch.get_facecolor()\n", + " patch.set_edgecolor(clr)\n", + " patch.set_facecolor([1,1,1,0])\n", + "\n", + "ax.get_legend().remove()\n", + "plt.ylim(0,2.3)\n", + "plt.title('grouped analysis')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 387, + "id": "d972572e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Mixed Linear Model Regression Results\n", + "=====================================================================\n", + "Model: MixedLM Dependent Variable: arm_representation\n", + "No. Observations: 148 Method: REML \n", + "No. Groups: 6 Scale: 0.0001 \n", + "Min. group size: 14 Log-Likelihood: inf \n", + "Max. group size: 45 Converged: Yes \n", + "Mean group size: 24.7 \n", + "---------------------------------------------------------------------\n", + " Coef. Std.Err. z P>|z| [0.025 0.975] \n", + "---------------------------------------------------------------------\n", + "Intercept -0.000 58384.474 -0.000 1.000 -114431.466 114431.466\n", + "content_sessions -0.001 0.002 -0.618 0.536 -0.005 0.002\n", + "Group Var 0.000 \n", + "=====================================================================\n", + "\n", + "Intercept 1.000000\n", + "content_sessions 0.536474\n", + "Group Var NaN\n", + "dtype: float64\n" + ] + } + ], + "source": [ + "# grouped analysis: LME\n", + "\n", + "import statsmodels.api as sm\n", + "import statsmodels.formula.api as smf\n", + "\n", + "arthur_first = arthur_head_dir_target.copy()\n", + "arthur_second = arthur_content_target.copy()\n", + " \n", + "ginny_first = ginny_head_dir_target.copy()\n", + "ginny_second = ginny_content_target.copy()\n", + " \n", + "tonks_first = tonks_head_dir_target.copy()\n", + "tonks_second = tonks_content_target.copy()\n", + " \n", + "molly_first = molly_head_dir_target.copy()\n", + "molly_second = molly_content_target.copy()\n", + " \n", + "ron_first = ron_head_dir_target.copy()\n", + "ron_second = ron_content_target.copy()\n", + " \n", + "pippin_first = pippin_head_dir_target.copy()\n", + "pippin_second = pippin_content_target.copy()\n", + "\n", + "# make combined lists\n", + "content_list_lmm = np.concatenate([np.ones(len(arthur_first)), np.zeros(len(arthur_second)), \n", + " np.ones(len(ginny_first)), np.zeros(len(ginny_second)), \n", + " np.ones(len(tonks_first)), np.zeros(len(tonks_second)), \n", + " np.ones(len(molly_first)), np.zeros(len(molly_second)), \n", + " np.ones(len(ron_first)), np.zeros(len(ron_second)), \n", + " np.ones(len(pippin_first)), np.zeros(len(pippin_second)), ])\n", + "\n", + "rat_list_lmm = np.concatenate([ np.zeros(len(arthur_first)),np.zeros(len(arthur_second)), \n", + " np.ones(len(ginny_first)), np.ones(len(ginny_second)), \n", + " np.ones(len(tonks_first))*2, np.ones(len(tonks_second))*2, \n", + " np.ones(len(molly_first))*3, np.ones(len(molly_second))*3, \n", + " np.ones(len(ron_first))*4, np.ones(len(ron_second))*4, \n", + " np.ones(len(pippin_first))*5, np.ones(len(pippin_second))*5, ])\n", + "\n", + "# not normalized\n", + "arm_rep_lmm = np.concatenate([arthur_first, arthur_second, \n", + " ginny_first, ginny_second, \n", + " tonks_first, tonks_second, \n", + " molly_first, molly_second, \n", + " ron_first, ron_second, \n", + " pippin_first, pippin_second, ])\n", + "\n", + "lmm_input_table = pd.DataFrame(np.concatenate([np.expand_dims(content_list_lmm,axis=1),\n", + " np.expand_dims(arm_rep_lmm,axis=1),\n", + " np.expand_dims(rat_list_lmm,axis=1),],axis=1),\n", + " columns=['content_sessions','arm_representation','rat'])\n", + "# generate model\n", + "# use + to add more confients \n", + "# content_list + [date]\n", + "md = smf.mixedlm(\"arm_representation ~ content_sessions\", lmm_input_table, groups=lmm_input_table[\"rat\"])\n", + "mdf = md.fit(method=[\"lbfgs\"])\n", + "print(mdf.summary())\n", + "print(mdf.pvalues)" + ] + }, + { + "cell_type": "markdown", + "id": "3a6ce8c2", + "metadata": {}, + "source": [ + "## Figure S4" + ] + }, + { + "cell_type": "code", + "execution_count": 412, + "id": "f20f1eca", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 412, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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SZETotOfVd2F1tVpnISgoqMntRqOR/Pz8dt3I4cOHeeWVV4iIiGDBggUdft3q6moKCgradW9CCCE6hntV6Z7A6KunT5g/2WV1pBRUy8qx01D3h+NAVlYWd911F1arlcWLFxMeHt7h1zAajcTExHh1TFFRETabrcPvRQghTkdV9WZqTFYAYnpQUvKgmCCyy+qobrCQW1FPXKh/d9+S6EJeBUJGozqXWlXV9PBhdXV1s6M2zcnJyWHevHmUlpaydOlSJk2a1CnXnT9/PvPnz/fq3s4991wZRRJCiA7iXkMoNqRnBULfHykE4Gh+lQRCpxmvkqUdy9ObysepqKigrKysyTye5mRnZ3PzzTdTWFjIv/71L6ZOndol1xVCCNH13JfO95SpMYDBsa6Eaek5dvrxKhCaMGECAJs2bWq0bfPmzQBMnDixTefKzs7mlltuobCwkJdeeokLL7ywS64rhBCie3isGOtBU2NJHdhqw1pdQ/XGjdjq6k72tkQX8SoQmjx5Mn379uWrr77i8OHDzterq6tZvnw5er2eq666yvl6aWkpqamplJaWepzHEQQVFBSwePFiLrroog69rhBCiJ6np06NJUYb0drzo09mRMhSVETarFlk3XkX+c8800F3JzqbVzlCer2eZ555hgULFnDTTTcxc+ZMjEYj69evJzs7mwcffJD+/fs791+1ahXLli1j0aJF3Hfffc7Xb7nlFnJychg9ejTJyckkJyc3upb7/t5eVwghRM9T0MPaazj4GXQkRASSVlzDscJqrDYFnda7lWO2ujqy7l2EOTcXgNotWzvjVkUn8HrV2KRJk3jvvfdYsmQJa9eudTY/feCBB5g1a1abzpGTkwPAnj172LNnT5P7uAdCHXVdIYQQ3aewyi1HqAdNjQEMijGSVlxDvdlGVmkt/SID23ysYrOR+9gfqd+3z/mapahIluKfItq1fH7kyJGsWLGi1f3uu+++RgEN0OQIUEdeVwghRM+TX9Ezk6VBbbXxzUF1lXByQZVXgVDRy0uo+uYbj9cUkwlbZSW6kJAOvU/R8bzKERJCCCHay5EjFB7og69e18reXcu9wrQ3rTbK13xKyeuvq0+0WnwGDHBus0h3glOCBEJCCCE6naIozqmx6KCeNRoEMDjWfeVYdZuOqdm2jbwnn3Q+j/njHwm64ALnc0thYcfdoOg0EggJIYTodKU1JsxWBehZK8Yc+kUEYtCp+TxtGRFqSEsj+777wWwGIGzOHMJvnos+Ksq5j4wInRokEBJCCNHp3JfO96QaQg4+ei397XlBqUXVmK3Nt1eylJWRffc92CoqAAg89xxi/vgYAPpoCYRONRIICSGE6HQFVT1z6by7QfY8IbNVIb24psl9FJOJnPsfwGTvdOCblETc4sVo9OraI310tHNfCYRODRIICSGE6HQFbivGYnrg1Bi4AiGAo03kCSmKQt5fnqR2+3YAdJGR9H3tVXRGV4sOmRo79UggJIQQotP19Kkx8AyEmmq1UfLvN6j47DMANL6+9F3+Coa4OI993AMhsyRLnxIkEBJCCNHpPKfGemYg5L5y7Gi+ZyBUuW4dRS+95Hze+x/P4T9yZKNzaP380Aap55ERoVODBEJCCCE6nefUWM/MEYoPD8BXr34sHi10BUJ1e/eS++hjzudRv/sdwdOnN3sex6iQpai4k+5UdCQJhIQQQnQ6x4iQTqshIrBnBkI6rYbEaDXfJ724hnqzFXNODln3LkJpUKf2Qq68kog772jxPI6EaaW2Fmt100nXoueQQEgIIUSnc+QIRRl9vW5o2pUG2/OEbAocTy8g6+57sBarIzsBEybQ6+mnWu0f5pkwLXlCPZ0EQkIIITqV2WqjuFoNhHrqijEHR6sNrc1KzROP0ZCSAoBPQgJxS15G4+PT6jk8AqFCyRPq6drVdFUIIYRoq+LqBhS1qDQxPbC9hrvBserU2F37v8CYpi6T14aE0Pf119CHhbXpHLKE/tQiI0JCCCE6lcfS+R66YswhKTqIWambmJW2WX3BYKDP0iX49OvX5nNIIHRqkUBICCFEp8p3WzHWE/uMuQvZu407D3zufN7rqacInDjRq3NIm41TiwRCQgghOlWhWw2hnth53qE+OZm8P/wBnX0eb/WgaRhmXO71eWRE6NQigZAQQohOVVDZ84spmgsLybr7Hmy1tQD83Hskbw+dzrHCxq02WqOPcus3JtWlezwJhIQQQnSq/IqenSNkq6sje+G9WPLyAKjqP4gXx92IotE22WqjNTpjIJqAAEBGhE4FEggJIYToVO5TY7E9LBBSbDZyH32M+gMHAND37oXpqX9g0hkASGlHIASgj4oEJBA6FUggJIQQolM5psZ89VqC/XtW1Zail/5F1fr1AGgDA+n76mskDenn3J7cRBf6tjDYp8dsVVXY6utb2Vt0JwmEhBBCdCrHqrGYYL9WqzJ3pfJP1lDyxhvqE62WuJcW4zd4ENFBvoT4qyNCJzZfbStZOXbqkEBICCFEp6kzWamstwA9a1qsZstW8p580vk85k9/wnjuuQBoNBoGxaiFFfMr66moM3t9fs/q0pIw3ZNJICSEEKLTeCydD+4ZS+cbjqeR/cADYFEDtLC5cwmfO8djn0H2VhvQvjwhWUJ/6pBASAghRKdxL6bYE1aMWcrKyLr7bmwVFQAEnncuMY892mi/wbGuQKg9K8ek39ipQwIhIYQQnaagyrV0vrunxmwmE9n33Yc5MxMA30GDiPvnYjT6xgncSdHuI0LtqSUkI0KnCgmEhBBCdJrCyp4zNVbw7N+o27ETAF1kJH1fexWdMbDJfR05QgDJ7UiY1ke7FVWUQKhHk0BICCFEp+kpU2PWigrKP/wQAI2fH31fXY6hd+9m948w+hJpVAO3lMKTnRqTZOmeTAIhIYQQnaanTI3V7d0L9h5ioddcg/8ZZ7R6jGNUqLjaRHF1Qyt7e9IGB6Px8QFkRKink0BICCFEpynoIVNjtbt2OR8HjBvbpmPcV44d9TJhWqPROEeFJBDq2SQQEkII0WkcgVCQn54An+6rKl23e4/zsf+YMW06xnMJffsTpq3l5Sgmk9fHi64hgZAQQohOoSiKMxDqzmkxxWymbt8+QO0lZoiNbdNxg2PdEqbbs4TePWG6uNjr40XXkEBICCFEp6ist1BvtgHdmyhdn3wUpa4OgIDRbRsNAkhynxprz8oxSZg+JUggJIQQolP0lPygOrf8IP+xbcsPAgj2M9ArRA3gjhZUodiTrdvKPRAyS55QjyWBkBBCiE7hHgh164qxPbudj/3HjPbqWEeeUGW9hYJK71aOSVHFU4MEQkIIITqFe+DQnVNjtbvUQEgTEIDf4MFeHXsyrTakA/2pQQIhIYQQncJ9RCimm6bGzHl5WPLzAfAfObLJdhotSYp2JUx723xVqkufGiQQEkKIU1huSjn7fsjGbLJ296004hkIdc+IkEf9oLFtT5R28BgR8jJhWpKlTw3dV9RBCCHESakpb+CLJXuwmm3UVjQw6cqB3X1LHnpCINSe+kHuEt1GhI4WeldLSBcaCno9WCxYimT5fE8lI0JCCHGKyjpcitW+PP34np439ZJvzxHSaCAqqHumxpwrxjQa/EeN8vr4AB898eEBgDo1ZrO1feWYRqtFHxkJyNRYTyaBkBBCnKJyjpY5H5fl11JVWt/C3l3P0Xk+ItAXg67rP25sNTXUJycD4JuYiC44uF3ncawcqzVZySmv8+pYZ3XpkhIUi6Vd1xedSwIhIYQ4ReUkl3s8zzpc2j030gSbTaHQ3nC1uxKl6/bvB6uaO+VN/aATOZqvgvc9x5wJ04qCpaTn/P8RLhIICSHEKaiyuK7RCFBPCoRKakxY7dNI3Zcf1P76Qe5Oagl9VKTzsSRM90wSCAkhxCnIfVrMIftwGYoXOSydqSckSjvqBwEEnMSIUFJ0+1ttSFHFnk8CISGEOAXlHC13PjaGqVNP9TVmirK874nVGbq7hpBis1G3Zw8AuogIDH37tvtcA6IC0Wk1ABz1sgu9BEI9nwRCQghxilEUhZxkdURIb9Ay+sJ457aeMj3W3VWlTamp2KrUoDBg7Bg0Gk27z+Vn0NEvQl05dqyo2jnl1xYSCPV8EggJIcQpprK4nuoyNdCIHRhCv5ERzm09JRDK7+Y+Y+7TYv5edJxvjmPlmMliI6Okps3HSXXpnk8CISGEOMW45wfFDQojJCqA4Eg12Mg7VoG5ofurTBd2c+d5j0TpdlSUPpEjEALvVo5JdemeTwIhIYQ4xXgGQqEA9B0aDoDNqjSZSN3VujtZuna3WkhR4+OD3/DhJ30+z1Ybbc8T0kdEgFb9qJURoZ5JAiEhhDiFKIpCrj1RWu+jJbqfWiSw77Bw5z7Zh7s/EHJUlTboNIQH+HTptS0lJZgzMgHwGzECrc/JX9+jllBh20eENDodugj1/40EQj2TBEJCCHEKqSiqc+YH9RoYgk6v/hrvMzgMRz5wZg/IE3JMjUUH+aHVtj9RuT06qn6Qu4SIQHzs1bHbu4TeUlKCYrN1yP2IjiOBkBBCnEJy3ZbNxw0Ocz72DTA4R4fK8mqcwVJ3MFlslNSYgO7JD6p1C4QC2tFotSkGnZYBUYEApBXXYLK0PaAxRNkTpi0WrGXdP1onPEkgJIQQp5DsZM9EaXfu02PduXqssKp7V4zVua8Y66BACFwJ0xabQlqxNyvHJGG6J5NASAghThFqfpC9fpCvjqiEII/tjoRp6N5AqDtrCNlMJuoPHADAkBCvJit3kPa22pBaQj2bBEJCCHGKqCiso6ZCnXLqPTAE3Qkd3WP6B2Pw0wGQfaS029ptdOfS+foDB1HMZgACxrS/rUZTkqJdCdMpEgj9ZkggJIQQpwj3ZfG97cvm3el0Wud0WV2VmeJs79pBdJTuLKbomSjdcdNicOISegmEfiv07Tlo3759LF26lD179mA2m0lMTGTevHlcfvnlbTq+pKSEjz/+mIMHD3LgwAFycnIASE5ObvaYadOmOfc70fXXX8/TTz/t/RsRQohTSE4zidLu4oeFk76vGFCnx6Lig5rcrzN159SYo34QqK01OlLfsAD8DFrqzTbviiq6V5culECop/E6ENq6dSu33347BoOBGTNmEBQUxPr163nooYfIycnh7rvvbvUcx44dY/HixWg0GhISEvD396eurq7V44KCgpg3b16j10eMGOHt2xBCiFOKe38xg6+u2QDnxDyhsZckdMn9uSvspoariqJQt3sPANrgYHwGDuzQ82u1GpKig9ifU0FGaS31Zit+Bl2rx3mOCEmydE/jVSBksVh44okn0Gg0rFq1imHDhgFw7733csMNN7B06VKmT59Ov379WjzPwIEDeffddxk6dChGo5Hp06eTlpbW6vWDg4O57777vLllIYT4TSgvqKW2Us0P6pUY2ig/yCEk2p+gcD+qSuvJPVaO2WTF4NP6h3VHyu+mqtLmzEysJSUA+I8ehUbb8dkfg2LUQEhR4FhhNSPiQlo9xj1hW0aEeh6vvku2bNlCZmYmM2fOdAZBAEajkYULF2KxWFizZk2r54mMjGTChAkYjcZW9xVCCHHCtFgT+UEOGo3GuYzeZlHITSlvdt/O4mivEeCjw+jbrgyMdumM+kEncq8w3dY8IY2PD7owdSpTcoR6Hq++Q7dt2wbA2Wef3WjblClTPPbpDCaTiU8//ZSCggKCg4MZO3YsQ4YM6bTrCSFET3Fio9WW9B0azqFNuYA6PZYwvOOWkLdFoT1HKCbYD42m66pKe9YP6tgVYw6D3BKmvWm1oY+KwlpWhqWoCEVRuvTrIlrmVSCUnp4OQEJC4znnkJAQwsLCyMjI6JAba0pRURGPPfaYx2vnnHMOzz//POHh4c0cpVq5ciUrV670+npCCNHdFEVxjggZ/HRExbc8mt5nSBhoAAWyDnVtPaGaBgtVDRaga/ODwG3FmE6H/8gzOuUag9270Huzciw6moajR1HMZmwVFehCQzvh7kR7eBUIVVerSzGDgppO0jMajeTn55/8XTVh9uzZTJw4kcTERHx8fEhNTWXZsmVs3LiRhQsX8v7777cYYVdXV1NQUNAp9yaEEJ2pLL+WOnt+UO/EULTN5Ac5+AUaiE4IpjC9ktLcGmoqGggM6ZqgpLu6zlsrK2k4dgwAvyFD0AYEdMp1eoX4EeSrp6rBwtECL7rQuyVMmwsLJRDqQbpu8vYkLVq0yOP5qFGjeP3115k7dy47d+7kp59+4vzzz2/2eKPRSExMjFfXLCoqwiYN8oQQ3SzXi2kxh75DwyhMrwTU6bEhk3p1yr2dqLuWztft3QuKWkCyo+sHudNoNCTFGNmVWU5OeR1V9WaC/AytHteoltCgQZ12j8I7XgVCjuTmqqqmhwOrq6ubHS3qDFqtltmzZ7Nz50527drVYiA0f/585s+f79X5zz33XBlFEkJ0u+zkcufjuMGhbTomflg4O9eqqQpZh7oyEOqeEaHaXZ1XP+hEg2OD2JVZDkBKYTVj41sPTqWoYs/l1aoxx7L4pvKAKioqKCsrazJ/qDOF2TPx21KHSAghTjWKopCboo4I+fjpiOzbtj82Y/qHYPBVl81nHSnrsnYbBd1UQ8hRPwg6d0QIICna9f+gra02JBDqubwKhCZMmADApk2bGm3bvHkzABMnTuyA22q7ffv2ARAXF9el1xVCiK5QmldDXZXaO6t3UihabdtWG+n0Wucy+7pKEyW5XdNuozumxhSLhTr7Z4G+Vy8MvTp39Muz1Ubbvq4e1aUlEOpRvAqEJk+eTN++ffnqq684fPiw8/Xq6mqWL1+OXq/nqquucr5eWlpKamoqpaUnt2rh2LFjVFZWNnp9x44drFy5Eh8fHy6++OKTuoYQQvREuW71g3q3MT/IwVFPCCCzi1aPFXRDn7H65GSU2loAAsaM7vTrJbnVEmprqw19tNuIkBRV7FG8yhHS6/U888wzLFiwgJtuuomZM2diNBpZv3492dnZPPjgg/Tv39+5/6pVq1i2bBmLFi1qVBHafRm8Y5m6+2uPPPKIc0n82rVrWbFiBZMnTyYuLg4fHx+OHj3K5s2b0Wq1PPXUU/Tu3dv7dy+EED2co60GQJ9m+os1x73dRvbhUsZe3PmpC+6BUFRQ10yNeU6LdU79IHdRRl/CAgyU1ZrbHgjJ1FiP5fWqsUmTJvHee++xZMkS1q5d62y6+sADDzBr1qw2n+fTTz9t8bVFixY5A6EzzzyT1NRUDh06xLZt2zCZTERERHDZZZdx6623MnLkSG/fhhBC9HiKTSHHXhnaN0BPRB/vqvGHxgRgDPOluqyB3JQKLCYr+k5ut1FQpQZCoQGGNvXh6gh1bonSnZ0fBOrKsUExQWxNK6WwqoGyGhNhgT4tHqP19UUbHIytslICoR6mXcvnR44cyYoVK1rd77777mu2N1hLneZPNHHixC7PPRJCiO5WmldDfbWaH9Qrse35QQ6OdhuHN+dhtdjIPVZO/LDOqzKtKIozR6irpsUAaveohRQ1/v74DRncJdd0BEKgTo+dOaD1r6s+KgqTPRCS6tI9R8d3pBNCCNEhPNtqhLbrHJ7d6Mta2PPkldeaMVnU2mvRXRQImfPzseTmAeA/ciQafQt/35ekwo6VUN8459Rbnq022powrU6PKXV12GpqTvoeRMeQQEgIIXooj0arXuYHOfQdEq6226Dz2204psUAYrosP8itv1hL9YNMNbDyMvjqQXjrMjDVntR129NqwyNPqLDwpK4vOo4EQkII0QMpNsU5IuQboCcyzrv8IAc/o4HoePVDuySnmpqKhlaOaL/8CrcVYyFdMyJUu6uNHef3vAfV9hZQ+fvh83udlajbY1B7Vo5FycqxnkgCISGE6IFKcmtoqFGbl/ZOCkXjZX6Quz7uq8eOdN70WKFbDaGumhrzGBEaPbrpnWxW+PUVz9cOroGf/9nu64YG+BBtH/U6WlCF0oagSlaO9UwSCAkhRA/kvmy+rf3FmhPvnifUidNjHlWlu2BqzFZbS729pp1vUiK64OCmdzzyNZSlqY/D+uGcK/z+GUhe2+7rD7JPj5XVmimqbn2kTQKhnkkCISGE6IE8EqWb6S+mKArfvrGMtx+5jx1frsFU33SrodgBIegd7TYOl7Zp9KI98iu7dmqsbv8BsFqBVuoH/brM9XjGP2HaE/YnCnxyBxQeadf1B8W4t9poPWHaINWleyQJhIQQoodRbAq5jvpBgXoiejedH1SYlsq+Desoykjjp3f/wxv33sYvH62irspzVZTOoCUuKRSA2koTpbmds2Kpq9tr1O1uQ/2grG2QtVV9HD0MBl4A5/wBhs9WXzNVwfs3QK33I2WDY13/X5LbkDAtydI9kwRCQgjRwxTnVNNQq+YHxSWFNZsflJviOZJRX13Frx+/zxv33saPb6+gqrTYuc19GX1ntdsotK8a02ogopUCgx2h1i0/qNmO878sdT2evAg0GvXfFa9ArL0Yb1kafDwfrBavrp/kvnKsDQnTMjXWM0kgJIQQPUyux7L50Gb3y09xFaZNGDkGjVb9lW5uqGfn15/x5n0LWP/vpZTl53r0Hcs+3DmBkGPVWFSQL3pd5368KDabs7WGLjwcQ3x8451Kj8PhL9XHxhg44xrXNp8AuOE9CIhUnx//Eb79s1f3kBTt3coxbWAg2oAAQAKhnkQCISGE6GGy25gonXfsKAA6vZ4rH/kLt7/8BqMvmYHeoI7GWC0W9n/3DSsfvJtfPnwF34AKAHJSyrGYrR16zxarjWJ7wnBXTIuZjh/HZm/G7T92TNNVmre8CtjzoSbeCfoTErhD+8L174DWYN9/Oexe1eZ7CPIzEBfqD6g5Qt6sHJNAqOeQQEgIIXoQm00h71g5AH6BBsJ7BTa5X311NWV5OQBE9RuA3mAgJDqGC267hwXL3mTiFdfg46+OPiiKjeRfNlKR8yam6s8w12WTl1rRofddUmPCZo8DooM6PxCqdesv1mT9oNpS2P2u+tgQAONva/pECWfBZS+4nn/1oJpX1EaOekJVDRby3OooNUdvT5i2VVdjqz25oo6iY0ggJIQQPUhJtlt+0KDm6wflH3NNi/VK9OyvFRgaxjk33codr/yHs2+4Bf/gEOc2m/k4pqrVrFv2FOl7dnbYCrICjxVjnb903rPjfBOB0I7/gNkeaIyZCwHhvLHvDa787Ep+zv7Zc9/x82HCAvWx1QQfzIXK3Dbdh3urjWTJEzolSSAkhBA9iPuy+d5tmBYD6JXUdKNRv0AjZ151HXcse5Opt96FMTzSua2yKJVP/v4k7/7xQY5u3Yxis53UfbtXlY7pghEhR8d5jcGA3/DhnhstDbDt3+pjjRYm3UNqeSpLdi8htSKVxzc9To35hJVz05+Dfueoj6sLYPVNYG66HIG7QdHetdqQQKjnkUBICCF6EI9Cii0kSue1MCJ0IoOvH2MvvZwFS98gvO8VaLSuAKswLZUvF/+dlX9YyIEfvsVqMbfrvguqum7pvKW0FFNGBgB+w4ej9T1hBGr/R2owAzBkJoQPYNVhV+5PWUMZbx982/MYnQGu/S+E2pOuc3fDlw+02oZjsHvz1TbUEnI0XgUJhHoKCYSEEKKHsLnVD/IPaj4/SFEU54iQf1AwITGxbTq/Tm9gyJSp+ATPwxA4k5CYBOe2stxsvnntZd68/052rf0Sc0Pr+S7uCt2mxqKDO3dqzLPR6gmFFBUFfnEroHjW/VQ0VPBl6pceu/330H8pqz+h3UhgBNzwPhjsX/d9H3guv29CYrQRR562LKE/NUkgJIQQPURxVhWmenU1V++ksKZXQgEVBfnU24smxiYOana/pvQdGo5Go0XnM4h+YxZy9Z+eps+wEc7tVSVF/PDW67yx6Ha2fvoh9TWtj3JA1zZc9QiExoz23HjsOyhS227Q90zoO4FPUj6h3qreX4BeTSCvMdewYv+KxiePHQFXveZ6vuFJSNnQ7L34GXQkhKvnTCmswmZreQRJL9WlexwJhIQQoofISS53Po4bFNrsft5Mi52o18BQ9Ab1V3/2kTISRo7h+ief44anX2DA2AnO/eoqK9i0+m3euPc2fn7vLWrKW27W6jE11sk5Qi12nP/Vs4CixWbh/SPvA6BBwysXvIKfTr2/1UdWk1+T3/gCw2bBeY+pjxUbfHwbFKc0ez+OVhv1ZhtZZS2vBJPq0j2PBEJCCNFD5KS0tX6QeyA0yKtr6AxaetuDrJoKE6V5atJw3OChXPXok9zy/FKGTDkPjUb9eDDV1bLt849Zseh2dn79ebOrzBxTYz56LaEBBq/uyRs2k4n6AwcAMMTHo490JYCTv18tjAgQ1h+GzOD7zO+dwc45fc5hfOx4bhx6IwAmm4nX9r5Gk857VM0vAmiogPdvhPqmSw645wm11mpDpsZ6HgmEhBCiB7BZbR75QWG9AprdNz/FtWIs1ssRIfBst3FiN/qohP7MuP9hbvvX64y8YDo6vR4Ai9nEj2+/wZeL/05DbeNeZY6GqzHBvl5N1Xmr/uBBFJMJaGI0yD03aPK9oNV5JEnPGToHgNuG34bRoNb/+ezYZ6RXpDe+kFYLV70O0fYVaSUp8PHtYGtciNK91UZKYctTidqgIDT25G4JhHoGCYSEEKIHKMqqxmzPD4ob1Hx+kMVspjA9FYCwXnH4GZtuyNoS93YbWYebnvIKje3FRXcuYsHSNxl9yQzn6ynbfuHdxx6kIC3V+Vq92Up5rbrarLOnxZqtH1SRAwc+tm8Ig9E3cbDkILsK1WX2A0MGMrnXZABC/UK5dfitAFgVK6/seaXpi/ka4cb3wN/+9Tr2LXz3VKPdBse0fURIo9G4qksXSiDUE0ggJIQQPYDnsvnmp8WKMo5jtagFF72dFnMI7xVIYIjahiP3aBlWc/M1hIzhEVxw2z1c+cif8QtUg67ygjze//ND7P12LYqiUNSFS+c9Os67N1rd9jrY7E1Tx98OPoGsOuQ2GjRsjkdwefOwmwn3UwOcdenrOFxyuOkLhvWD6/4LGp36fPPLsO9Dj136Rwaitxe+bNPKMXvCtLWiApt9dEt0HwmEhBCiB8hxb7TaUqK0+7RYM4UUW6PRaJzTYxazjbzjrbfbGDjuTOY+9zKxA5MAsJrNbFjxCmuX/ZOcIte9d2YgpCgKtfYRIW1QEL6JieqGhirY8Zb6WOcDE++kuK6YtelrAQjxDWHmgJke5wowBHDnyDudz5fsXtL8hfufqxZcdPjiPshxBWQ+ei39I9Ul98eLajBbWy5O6ZkwLaNC3U0CISGE6GZWq83ZXywg2IfQmBbyg05ixZi7Pi3kCTUnJDqG6596njHTL3e+dnjTj2xf8iRhJvUcMZ1YQ8icnY21uBgA/9Gj0WjtH2G731UTmgFGXgdBMXyY/CEW+wjR1UlX46/3b3S+awddS+/A3gBsytnEzoKdzV984h0w9hb1saUeVs+BKteKM0erDZPVRkZJ4xwqd54J07JyrLtJICSEEN2sKLMKc4MjPyi0xWRjx4oxncFAVEK/dl/TI2H6cNsCIQC9wcC0+Xcx88FH8fFXgwtTcR7X537C4KrkTh0RqnNrtOqsH2S1wK/LXTtNXoTJauKD5A8A0Gl03DjkxibP56Pz4Z7R9zifv7zr5eZ7r2k0cNk/oe8k9XlVLnxws9rOA89WG8n5LSdMy8qxnkUCISGE6Ga5btNiLfUXq6uqpDw/D4Do/gPR6du/TD0g2IfIvmrOT1FWFXVV3uWqDJ58DnP+9i+i4vsBYFAsXFz8PdXfvYfZ1NDywe1U61ZIMcBRUfrwF1CRqT5OvAiih7IufR2l9Wpwd0H8BcQGNl95+/IBlzMgZAAAuwt383POz83ui94Hrn8Hgvuoz7O3wVe/B0VhcKwrab21PCEJhHoWCYSEEKKbuSdK92khUTrfvdHqSUyLOfQdYh8VUtTiit4K7x3Hjc/+k+qEcc7XCrb/xPt/fpiy/LZ1b/dGnaOQok6H/xln2NtpuBVQPGsRiqLw7qF3nS/NHTa3xXPqtDoWjVnkfL5k1xJsSgs5PsZouGEVOKba9rwLW19zFlUECYRONRIICSFEN7JabeSmqvktASE+hEQ3zmVxOJlCik1xX0af6cX0mDuDjy+HE6fzbeRUzBq15lBR+nHefewBjm7dfNL36GCtqqIhRa3u7Dd4MNrAQMj8FXLt02WxZ0D/89hVuIvDpeoKsOERwxkdNbrVc18YfyHDI9R6QcllyXyT/k3LB/QeDVe6Lbn/5nESKrbjo1c/UlsNhNzbbEiydLeTQEgIIbpRUUYVlobW6wcBzkarAL3auWLMXa/EEHSOdhuHS5vPj2lFQWUDR4KG8HW/6wjvrU4bmerq+HLx3/nhrX+3u6O9u7o9e52d4J31g9xHgybfBxpNowKKbSnuqNFouH/s/c7ny3Yvw2xr5Z5HXA1n/159rFjRfXwrZ4erAVB6SS315saFFx2kA33PIoGQEEJ0o5yj7m01QpvdT1EU59SYf3AIwVExJ31tvUFH7yT1mtVlDZTlt9wnq7n7KnC014jqzZy/v8SQKec5t+9a+wUfPPkYlcUntzrKs+P8GCg+Bsnq8niCesOI2eRW5/Jd5ncARPpHMr3f9Daff3KvyUyMnQhAZlUmnx37rPWDpv0ZBtmvUV/Os/XPEkgdVpvC8aLmV47pQkPBoOZ3SSDU/SQQEkKIbuRRSLGFROny/Fzqq9URh15edpxvSUvtNtqiusFCrUkd/YgJ9sPHz5/L7nuICxcsdLbnyDuWzDuPPsDxXdvbfZ+1boUUA8aMgS2vAPYRrEl3g87A6iOrnfk91w2+DoOu7cnkJ44KvbbnNeot9S0fpNXC7DcgUh2d62VK5yXDcjTYSClsfnpMo9E4e6RJINT9JBASQohuYrXYyLPnBwWG+raSH9SxidIO8e7tNo54Hwg5RoMAYu1L5zUaDaMuuowb/+9FQqLVkav66io+/cdT/Pz+f7FZm582aopisVC/dx8A+thYDCE+sOc9daOPEcbOo9Zcy8cpaosNg9bAtYOu9fq9jIoaxdS+UwEorCtk9ZHVrR/kFww3vg9+IQBcrNvJ7/Qft7n5qrW0FMV88lOHov0kEBJCiG5SmFGFxaSOYLRaPyjFlSjd3orSTQnvHUhAsNpuI+doOVZLy1WRT1RQ6VoqH31CDaGYAYnMfe5lEidMcr627bOP+OiZx6kua3vQ1XD0KLZaddrOf8xo2P6mWtQQYOw88A/ly9QvqTKpwcel/S8l0j+ymbO17L4x96FB/f+w4sAKqk0t1wQCIGIgXLMSRaN+pN6v/wzj8f+1eIgzT0hRsJSUtOteRceQQEgIIbpJW/uLgWdFaUebi47g0W6jwUp+G9ptuHMfEWqqqrRfoJFZf3ic826+Ha1O7deVfegA7zx6P5kH9rbpGh71g0adAdv+bb95HUy6G5tiY9URV5L03KEtL5lvSVJYEjMGqE1mKxoq+O+h/7btwMQLUC76P+fTC4vebnF3WULfc0ggJIQQ3aStidIWk4nC9DQAwnv3cTY/7Sh9h7qCMG/zhPKbmBo7kUajYfzMq7juyecwRqgjNbUV5Xz8zJ/59ZP3UWwtj0I56wcB/oEFUKu22WDYFRAaz6+5v5JWoX59xsWMY2jEUK/ew4kWjl6I3l4K4O2DbzuLM7ZGO/lesnR9Aehvy6SqpvmEaQmEeg4JhIQQohtYzTby7flBxjBfgiObzw8qTD+OzWrvON+B02IOfdrZbgOgsIWpsRPFDR7Kzc+9TL9RalVoRbHxy4erWPPcX6mtbH4kyrFiTOPvj1/Ox64NZ90HwLuH3QoonsRokEPfoL5cPehqAGottbyx7422HajRUBI0BACDxkpm8p5md5XGqz2HBEJCCNENCjIqsZgd+UEt1w/ymBbrwERph8AQXyLi1FGmwswq6qvbnrzb2tTYiQKCQ5j92F+Zct1cNPacmvS9u3jn0fvJOXKo0f7mggLMuWqVav+BcWjKj6kbEqZA3FjSKtLYlLMJgN6BvZ3JzifrrpF34adTA7sPkj8grzqvTcfZooY5H5el72l2PxkR6jkkEBJCiG7gnh/Uu4VpMYDclI6tKN0U5/SY4t3qMfepseigtjVc1Wi1TLr6Bq554v8ICAkFoLq0hA+eeowvFv+NI79sxFRfB5xQPyi42HUS+2jQe4ffc75045Ab0Wl1bb73lkQFRDFn6BwAzDYzr+59tU3HGRNGOx/b8g40u5/Bo7q0dKDvThIICSFEN8hxa7TaUn8xcI0I6Q0+RNqbnHY093YbJ06PWSsrqU9OPvEQwDU1FhHo42wx0VbxI0Zx8z+W0GfYCAAUm42Urb/w9cvP8+odc/nin3/j0HfrsWjV0bIAfap6YEQSJF1CpamSz1M/B8Bf789VSVd5df3WzB8xnyCD2kPs89TPOV5xvNVjeg1y9V0zVjT9NQMZEepJJBASQoguZjXbnKuzjOG+BEU0P5JSW1lBRWEBANEDEp1FCjta78RQdPZAJsut3YYpP59Dl11C2hVXkvaXP3m04bDZFAqr1BGh1vKDmmMMC+faJ57lrGvn4B8U7HzdYmogZdsvbM48yobh/diZEEOmbzAmmxYm3wtaLZ+mfEqdRR05mjVwFiG+Ie26h+aE+IYwf8R8AGyKjVd2v9LKEaD1iWFX7WXU2YKIaziOzdZ02xJdeLhakBEJhLqbBEJCCNHFCtIrsNrzg/q01l+sC6bFAPQ+OnolqoFEdWkD5QW11FSXsWX+VeiLywGo//BTche/4DymtNaE2ap+0Me2IT+oOVqdjsnX3Mjdr7/DNU88w8gLp+Mf7ApqbFotBaFG1hYO4dWjk/n8hywO/vwDH+5/37mPYxqro80ZOocIvwgA1mes51BJ4zwmh+qyBj54dju/Vt7BTxV3E6MpIzc3p8l9NTod+gj1vBIIdS8JhIQQoou5T4v1bqGtBngmSnfGijF37tNje3cf49O7LiUqrdxjn8o3VlL8n/8AJyZKt29EyJ1WpyPhjNFcdMci7n7tbS6/9mbiiyvwMVuc+1gULcd2bGPdsn9y7udapu6MYnrdGOJ8Tr73WlMCDAHcOfJO5/Mlu5Y0uZ/VamP9igPUVamJ5lmmUSgK5KbsbPbcjukxS0kJipfVtkXHkUBICCG6mGd/sdAW9+2s1hpNcW+3sfPLjYzbqU7fNejhm0muEZ+i51+g/JNPvFo67y2tTkd4cTkjcoq54FAGlxqSGRVeSECwa/pMb9OSUBBA7A+lLL9jDp+/+AyHN/2Iqc775rEtuXbQtcQZ4wDYnLuZ7fmNe6b9+mmqs10KgEkJpMYWTm1W80Uj9Y6EaasVa6n37U1Ex5BASAghupDFbCX/eCUAQRF+LdYPUmw2Z8f5gJBQgiKjmt23I4TE+qH4qyMagaaB2OzL2wP/+igT/7acD851rcjK/fOfqftug/N5c8UUT4azfhCQGFPChZdN5q7X3+HMB+/mSHwVdT6uURSr2cyx7Vv439IXWX7HHD574RkO//wDDbUnHxQZdAYWjl7ofP7yrpc9cqVSdxeyd0NWo+NKLfHoiw43e15JmO4ZJBASQoguVHC80tnPq7XRoNK8HBpq1erEvZIGd1jH+aaU1JVwz3f3kOmzBwCr3o/K4P4E3zaPpGtu5azeZ5H4wKN8PUG9B41NIX753xhdlAK0rYaQNxSbzdlaQ+drxWC0wuRFaLU61lm3sGVEKR9ekE3krRcy6uIZzmX4oAZFqTu28L9l/+TVO+fw2Qv/x6GTDIpm9J/BwJCBAOwt2stP2T8BUF5Qy/f/dQU7jjwrUAOhiJqUZs8pgVDPIIGQEEJ0IY+2Gq0um++aabG9RXu57qvr2J21hXGHXR/qVaMupvcfHnY+nzNsLlV3XcOPZ6jBkM5q5S9b/sOgsswOyRFyZ0pLw1apjpz5R5rQDL4UIpMoqSvhf2lqQ1OjbxDXXngnF95+D3e99l+ue/LvjL5kBoGhrq+rGhRtZe2yf/LqHTfx2QvPUJaf6/X96LQ67htzn/P5kt1LMDWYWffvA5jq1ZGppPHRTLnG1Qeu1NKXBGsmNXUNjc4Hbo1XkUCoO0kgJIQQXcg9UTqulURpj47znbBiTFEU3j/yPreuu5XCmgLu/p+NwelHnNsrEiai0bmmwzQaDU9M/jNb541ne5IaDPlbzfzfL28QUdz06qj2qt25y/k4INIMZy0C4KOjH2G2qdN3VyddTYAhAACtVkffYWdwwW33cOerb3H9k881DoosFlJ3bOGTZ//sHGnzxrT4aZwReQYAKWUpvL/iB0py1O70YbEBnD93CGGxAc79SyzxBGgaSD92sMnzyYhQzyCBkBBCdBGLyUp+mppQGxzpR1B4y6MoeY4VYxoNsQM7NhCqNdfyp01/4m9b/4bFZuHybQpnH1LwNVUQWKu2kyjKrqW+xrPdhkFn4J8XvMTqm+I4kKAGQ8HmOqruuwdTdscFQ3U/r3M+9h+SAAlTMFvNfJD8AQBajZYbh9zY5LFarY4+w0acEBTNdE6fVRQW8O0br3jk+bSFRqPh/rH3AzC48Eyq96s1nfQ+Wi65cwQ+fnp8/PQER6r/X8ssfVEUKD2+u8nz6d2qS5ulunS3kUBICCG6SH5aJTaL+uHb2miQ2dRAcWY6ABFxffENCGhxf29kVGYwd+1cvjr+FQAjj9uY+4MrKIgfqS5FVxTIPlLW6PgI/wheumQZL1zlR2qs+pq1sJDM22/DUlzcaP/2qNu1Q32gVfCbdR9oNHyT8Q3Fder5p/WdRm9j71bP4wqK7uamZ/6Jb0AgAMm/bOTgT995fV+Tek3ifP9LOOf4Nc7Xzp8zhIjeRufz8F7qNcyKP1W2KCx5+5s8l4wI9QwSCAkhRBfxWDbfSn5Q4fFUbPbaMh05LfZ95vfc8NUNpJSpSbwJlX788Ws/NPbRkciFCxl46Rjn/s11ox8QkkRpyfX87Xod2WpdQMwZmWQuuAOrPbenvSxHt2EqMQHgH6lBO/paFEXh3UOuLvPtKaAYEh3DRXe68ny+/89rlOZme3WOhjoLo/fMRK/4AHA8bifx4zwrWoe7BUWl5ngCypputaGPiAB7ArwEQt1HAiEhhOgi7onSvZNCW9w3z72QYgckSltsFv6181888MMDVJvVvJYhfv14cV0Eump1NZVx2jQiF91L76RQtHr1AzrrUGmTU0hFVQ1YqkZQXHMxz96go9he3qfhyBGy7lmIra6u3fda98k/nY/9x4wGnZ69RXs5WKLm2gwJH8K4mHHNHN2ywZPP5oxpFwNgbqjn65dfwGI2t3KUSlEUvnvrEPWl6qq/wsBMNvRZxftH3vfYL7x3oPNxqaUvvepTm/waagwGdGFqQCyBUPeRQEgIIbqA2WSlIE0dKQmO8m9DfpDbirGTrChdUlfC3d/ezZsH3nS+dnH8Rbzwc1+U1AwAfAYMoPfz/0Cj1WLw0dFrYCgAVaX1VBQ2DmocVaVNxdPwi5jM/92go8I+e1e3cyfZDz6I0sYAw0NVAXXbtzif+l+s5gG9e9g1GjR36NyTKiUwdd6dhPfuA0Bheiqb3n+rTcft2ZBF2l51ak7vr+XbQW9h01p5c/+bVJpco2COqTFQl9DHawrILWx6ytBZXbqo2OucJdExJBASQogukH+8Apu9L1efVuoHgVvHeV9fIvsmtPu6+4r2cf1X17M1fysAOo2Oh8c/zGNHkqjb8AMAWqORPq8sQ2d0TenEt9CNHqDAWVVaw/SYBwlNGsbfrtdRq84YUfPTRnIf+yOKzebdDW9/g9oi10q1gImTya/JZ0OGWrwx3C+cS/tf6t05T2Dw82PGA484G9ju/Ppzju9uXC3aXe6xcn79NNX5/JL5I5g6fAoAlaZK3jrwlnNbWGyAY8aLUks8ADlHW0mYNpuxlpe3492IkyWBkBBCdAH3/KDW+ovVlJdRWaSuIorpn4jWbQl7WymKwuojq5m3bh4FtWr3+kj/SN685E2uKuxL8ZKl6o4aDb1ffAHf/v09ju87tLVAyNVnrE9oCEumLaGyXyT/uFaHSY0vqPz6awqeeabtIx2mWpQtK6gvVaMpQ1wv9FFRrD6yGqui5ktdN/g6fHQ+bTtfC6L7DeDcubc7n69b/i+qy5rOh6qtNPHNGwdQ7J3kx05PoN/ISBaOXoheq77Zdw+/60zk1vvoCI5SK4aXWfpgU7RUZ+xp8tweCdOFMj3WHSQQEkKILpDrTf2gk5wWq7PU8adNf+LZrc9isakNS8dGj+XDmR8yoiac3IcfUZeEAVEPPEDQ+ec3OkdkHyN+RgMA2cllWK2eIzueDVd9iQ2M5eVpL3Osnw8vXanFah8RKXvvfYqXLm3bje9ZRX1eNYr94IDxE6iz1PFxyscA6LV6rh98fZu/Dq0ZM30mA8ZOAKCusoK1ryxuNIJlsymsf/MgtRVq8nbc4FDOvFwNGuOMcVw76Fr1eEsdK/avcB7nWEVmwZdKazTaoqa71svKse4ngZAQQnQyc4OVgnQ1hyQk2h9jWMvtKDw6znu5YiyzMpM5/5vjXBoPcPOwm1lxyQrCrX5k33svtmo1WTrokkuIuOvOJs+j0Wqco0LmeiuFaZ4rwQrcGq46+oyNihrFX8/6KzuTtCyf6fp4KV7+KqX//W/LN26zwpbl1Ba5Rnv8x4zh6+NfU9Gg1l6a3m86kf6RrX0J2kyj0XDJPQ8SGKa+z8z9e9j+5RqPfbZ9edw5mhcQ4sNFtw1Hq3O9tztH3om/Xh39+TD5Q3Kr1arVngnT8YRVH6UpEgh1v3YFQvv27eOOO+5gwoQJjB49mmuuuYYvv/yyzceXlJTw+uuvc//99zNt2jQGDx7M4MGt/9VzstcVQojukJ/qyg9qbdk8nFhRuu0jQj9k/uCxNN5f788L573AIxMeQY+O3IcfwZSWBoDvoEH0/tuzLSYd9x3qutfME6bH3EeE3DvPzxo4i1uH38rPI7SsvND1EVPw9+co//Sz5m8+eS2UHqeu2BUI+Y0Zw6rDq5zP5w6d2/zx7RQQHMJli/7gXMa++YN3nCv20vcXs3Otmkyu0Wq4ZMFwAkM8g9hI/0jnfZltZpbvWQ40TphOsKRT12BpdH0JhLqf14HQ1q1buemmm9ixYweXXHIJN954I2VlZTz00EO89tprbTrHsWPHWLx4MevXr8dgMODv33z35Y68rhBCdAeP/mKtJEorNhv5qWogExgWTlBE6yMgVpuVl3e9zP0/3E+VuQqA/iH9WT1jNdP7TQegeNkyqn/8EQBtSAh9XlmGNjCwuVMCJ+QJHWo6EPIzaAn203tse3Dsg5wTdw5rJ2j56GxXoJX3xBNUfddEEcPaUtj4PIoCtfZASGs0siegmGPlxwAYEz2G4ZHDW/tStEv8iFGceaU6xWWzWvl6yQsUZ5ewYaVrOmvSlQPondR0EDtv+DyCfIIA+PL4l6SWpzZaQh+qqSEtrXEDVo9+Y1Jdult4FQhZLBaeeOIJNBoNq1at4plnnuHRRx/l888/JykpiaVLl5Kent7qeQYOHMi7777Ljh07+Oabb4iNje2S6wohRHfwDIRaHhEqzc3GVKfW9emVOKjVZeKl9aXcteEuj/yUixMu5v0Z7zMgdAAAlevXU7z8VXWjVkvc4n/i07dvq/dtDPMjzD6yUZheSUOtazm8IxCKDfZrdI86rY5/nPsPBoQM4KOztawdZ99utZLzu99Ts2Wra+fU7+HVKZC3F3ONDmu9mhjuP3o0q4666vO0p4CiNyZfc5MzH6uiIJ+PnnnR2V6k/6hIxlwU3+yxIb4h3DbiNgBsio1lu5cRGhOAVqu+71KL+rUuTt3Z6Fh9lKvNhowIdQ+vAqEtW7aQmZnJzJkzGTZsmPN1o9HIwoULsVgsrFmzpoUzqCIjI5kwYQJGt6WaXXFdIYToaqZ6C4Xp6ihNaExAo6mVE3kzLVZvqefWdbeyNc+1NP6h8Q/x4nkvEmhQA5j6o0fJfeyPzmOiH3oI45Qpbb5/x/SYoqhJ0wB1JiuV9eo0T3QzXeeDfIJYOm0pwb4hvHWRlo3D1aBAMZnIXriQuj07Ye2j8M5VUKXm1dRVhDqPNw3rz8bsjerXITCWC+IvaPM9t4dOr2fG/Q/j468WQ6ot24/NdJjgSD8umDe01YB0ztA5zvylDZkbOFx+iJAY9VyOlWOmnMatNvRRrhE/CYS6h771XVy2bdsGwNlnn91o2xT7D5Zjn47UEddduXIlK1eu9Oq6RfJNKYQ4SfmpFdhsjv5ioa3u701F6R+zfiStQs35ifSP5IVzX2B87Hjndmt5Odn3LkKpVUeYgi+/nPD5t3p1/32HhrPve7UNxdbPjxMaE0CVjysoiGkmEAKID47nxfNe5J4N9/DqDAuBDTbGHVOw1daSdevNJEwtwNfRnWLAVGrNg4Ev1PcWVoCC+nW7YfANzmXqnSkkOpYR0+ay6+t/A2Cu+46zrroY3wBDq8f66/25a+RdPLv1WQBe3/c6M3rdRVleDTYMVFh74VfauNWG1tcXbUgItooKCYS6iVcjQo7pp4SExsW9QkJCCAsLIyMjo0NurKOvW11dTUFBgVf/bN4WAhNCiBPkuC+bb0uitGPpvEZD7MDEFvddl+7q0P73c/7uEQQpVis5f3gIc1YWAH7DhtHr/572uiJz3OAw5yq3svxaPv77Dg5uysEeoxAb3PII1+Tek3l4wsNYdRoWX6nlcF/1+tZ6hcwfIzA3BMClz8PcNdQdsAcKWi3volaX9tP5cc2ga5o7fYcqza3h6M4QdD72XCTFzK8fL8dqaVuF7KuTribcT82r2pm/k/Berka5pZa+xNQfa7KmkmNUyFJUJNWlu4FXgVC1Y8llUFCT241GI1VVVSd/V51wXaPRSExMjFf/tFqpLiCEODne9BczN9Q7O85H9ol3TtM0pdpUzc/ZPwMQ4RfBhJgJHtuLXnqJms2bAdCFh9Nn2VK0fi239WiKwUfHrAdGExGnTrVZzDbS12Uzo9aAQWl5RMjhpiE3cXX8xZgNGp67RkumPS3GUqcjc8cwLInXYK2tpeGoGgTWJERRolVHsWYOnEmIc9io85jqLaz7934sDVb0AVPxDVSDk4Ljx9i0+p02ncOgMzAyaiQAVeYqbOGulXUllnj6KbnklzVuSGuwV5dW6uuxdcJnqGhZ54819hDz589n/vz5Xh1z7rnnUlBQ0El3JIT4rTPVWyjMUD/YwmJbzw8qOH7MWdCvtfygH7J+wGRTi/xd3O9idFpX9emKr7+mZIW9r5heT9y/XsLQu3d73wZhsYFc8+h4Nn2UwsGf1XyeYWY9sVVaQhtaOVhR0Ox+l8d/XU16eAA7/f14+gYdz62CyBIrpqxcMu+4g8g773IWedwdXes8vDOWzDe+RYUfVyVTlq9eN7JPGOdc/zgfPfUwVouFHV+uIWHEKPqNbr3R67CIYfyY9SMABb6ZgLoKrtQSj0FjJevoXnpNOtfjmBOX0OuCgzvkfYm28WrIw5Hc3NzoS3V1dbOjNieju64rhBAnIy+1wtmWobXVYnBiRemWCymuTVvrfOxYIg9Qf+gQeY8/4Xwe88fHCJw4sc333By9j47z5wzh4gXDUeyd6cNtWgo/zWD/j9lNT+nUFMMHc+GLRRhM1SwuLCbOCpWBGv5yPdSEqaNJDYcOk/voo87DdsbUADC512QGhg486XtvzYGfckjZrv7Ra/DTMf3OM4gblMQ5N7n+eF67/CVqysuaO4XT8AjXEv9jtoNo7V+rUrO66qwifU+jY6SWUPfyKhDq168fQJP5OBUVFZSVlTWZx3Oyuuu6QghxMjz7i4W2un9+StsSpSsaKvg191cAYgJiGB09GgBLaSlZixah1KtTMiFXzybsppvacefNSxofQ+oYI/k6deRKsSpsXH2Udf8+4LG8nqPfwPJJcMRV4Tp81BxenvE2/np/ikM0PHGNGXOQGgwpDa6hpeQ+avAwd1jnjwYVpFWy6SNXfZ9pNw8l1L7aa+xls+g/Rs27qq0oZ93yl1ptIjsswrWy+WDZQcJi1CnFCmsvrIoeTcHBRsdIINS9vAqEJkxQ56A3bdrUaNtm+1z0xA74y6OnXFcIIU5Gjhf9xcA1ImTw9SOib/N1azZkbMCiqMvXL+l3CVqNFsVsJud3v8eSmweA36iRxP7lL14nR7dFjtnCe8YGdvi6KiUf313EB89uJz85H758EN67DmrsH+oBEXD9KrhiGYNjxvD3c/6unidSw5+vNmPzd00ZlgRBcTAkBCdwdlzjlcIdqb7azLo39jurfo+a1pfEca66PhqNhun3PEhgqPr/Ln3vLnZ+/VmL54z0jyQ6QD3H4ZLDhNkTpm3oKbf0JqSy8coxabzavbwKhCZPnkzfvn356quvOHz4sPP16upqli9fjl6v56qrrnK+XlpaSmpqKqWlTXf07azrCiFEdzPVWSjKtOcH9QokILjljunVZaVUlagfgjEDE9Fqm+84775a7NL+lwJQ8MIL1G611xOKiqTPkqVofVvOSWqvgqp6rBrYFQ6X3XMGvgFqumlVST2fvrSf3RtLURR7AJZ0CSzcAkNnOo+/IP4C7htzHwDHe2n4xzVa8FGXqO8aqAGNhhuH3IhW03kLVhSbwoa3DlFdqo5ExQ4IYfLVjafhAkJCufReVwuOn99/21n5uzmO6bFqczW6SFewWGqJp68lnXqz1WN/fbRbUUWpLt3lvEqW1uv1PPPMMyxYsICbbrqJmTNnYjQaWb9+PdnZ2Tz44IP079/fuf+qVatYtmwZixYt4r777vM412OPPeZ87KjX4/7aI488Qnh4eLuuK4QQ3S3jQIkzP6hPB9YPKq4rZlu+Wjetj7EPwyOGU/7pZ5S9bV/ZZDDQZ8kSDDHRzZ7jZCiKQn6FOvUWE+xL/1FRXP9HP9b/63vyS4KwoeOXqlvJMY/igmsi8Z9yizOIcHfHGXdwrOwYa9PXsruPmefuiiT2WCk/DLFiNBi5MvHKTrl/h53rMsg4UAKAn9HAJXcMR6drOvBKGDmaCbOuZvvnH2OzWvh6yfPc/NzLza7qGxYxjB+yfgCgzD8fV8J0X5I0mzicmcnQga7PLJka615erxqbNGkS7733HkuWLGHt2rWYzWYSExN54IEHmDVrVpvP8+mnn7b42qJFi5yBUEdeVwghukLytnzn44FjWw9K2poftCFjAzZFzVOZ3n869fv3k//kk87tsX/5MwFjxrTnltukss5Cg0W9fkywHxSnEPTpnVyp38u2wBvYVaPW/MmoH8MHX/pwcUx5kz26NBoNT015ioyqDA6VHGKXsRhGA2i4OekqZ2XszpB1pJRtXx633whcfNtwjGEtlwGYct1csg7uI//YUcrz8/juP69x6b2/b3Jf94TpTH0KfqjPSyzqdGdByi4JhHqQdi2fHzlyJCtWrGh1v/vuu6/RSJBDcnLjedKOuq4QQnSnuioTmQfVlABjmG+r9YPgxBVjzQdC7qvFLomdSvZND6CY1GX0oTfeQNi117bzrtumoMpRG0fhKstaeO01sNSh08Dk4NXETRjJhh3Dqas2U1Nh4rPFu5kwsz/jLu3n7L3l4K/3Z8nUJdzw9Q0U1xUDoEGdFuss1WUNfPvmQcdKfSbO7E/fYeEtH4S9Bcd9D/POY/djqqvj0MbvSRg5hmHnTG20r3vC9AHTbiYZzsBitlFqD4QacvYBVzv30QYEoA0MxFZTI4FQN5CKgUII0cFSdhQ6p8WSJsSg0bacsGyzWZ15J8aISIzhEU3ul1+Tz+7C3YDaXT52ayqWfHXkyX/cOGL/+Mcmj+tI+RX1RFHGW4bnmZ33Eljq1A0RibDgW+JvuJvr/zyRuMGhgFoaaNuXaXzx8h5qKhoXHYoJjOHlqS/jo1Wnjy5MuJC+Qa03hG0Pq9XG+jcPUFelrm6LHxbO+Ev7tfn40NheXLjgXufzDSuWU56f12i/CP8IYgJiADhcdojQWHUKrdIag0XxwafkSKNjHKNCEgh1PQmEhBCigx11mxYbfGZsq/uXZmdhrlcDil6JzdcPWp++3tl/a3q/6VR84mo2Hf3QH9D4tJyQ3RH0yV/yje+jnK/b63pxwgK462eIUwsOBob4MuuBMUy8vL8zPSgnuYwPntlG1qHGi2dGRo3k3cve5aHxD/HUWU916P0qikJpbg0HNubwv1f2kXesAlBH6i68bVirQeqJhp59PsPPUxvAmuvr+HrJ80224HBMj9WYa/C1z3wp6CizxBFVm9Ko7pIjYdpWU4OtpsarexIn57SpLC2EEF2hvKCWgjS1jUJEnJGIOGOrx3hMi7WQH/RN+jfOxxdrz6B2x1IAfAYMwH/06HbecRvVV8LaRzlr73tgjx0a/KLwvfpVSLqo0e5arYYJM/rTOymUb988SE2FiboqM18s3cPYSxI48/L+aN2Sk4dGDGVoxNCTvk2r1UZRZhV5KRXkpZaTd6yC+hrPQEWr03DJHSPwN7YvcJw2/y5yjx6mLC+X/NQUNn+4inNvutVjn2ERw/g+63sAaoPKAHVVXKklnoH6XymqqCU61JUHdWKekE9g5+VICU8SCAkhRAc6ut3VlmfQmTFtOqYtK8ayq7LZV7xPPW/YIIK/20mJfVvo1bM7pV4QoM5tpX6v1gaqyHS+vNY6gT5X/5szkga0eHjcoDCuf2IiG946TObBElBg17oM8lLKuej24QSFe9//zJ2p3kJBWiW5x9SgpyCtAoup+aKHBj8d5980mNgB7e9f5uMfwIz7H+G9Jx7CZrWw/fOPiR8xin4jXUnqwyNdCdN5Pun4kQSoK8cGa35i/7FDRI939YdrFAjZCwmLzieBkBBCdBBFUTi61T4tpoFBE9oWCDlWjGm0WmIGNN1x3n006NL4S6j453vqE52OkM5YOWsxwcE18OsyyN/vfLlOE8ATDbfwie0cfo3u1aZT+Qf5MPPekezekMnWz45jsynkpVbwwbPbuGDeMPqPjGzzbdVVmcg7VmEPfMopyqp25mM1xTdAT6/EUHolhtA7MZSo+CB0+pPPCokZkMg5N83jp3fUnm7rXlnMLc8vJSAkFPBMmE7W7GOUMxBSE6bL0nZDC4GQ6DoSCAkhRAcpSK+kokjN9YkbFNbqkmwAU30dxVnqSEtk3wQMzXSIdy+ieEFBJPX2htDG887z+BA9abWlsOM/sO0NqM733BZ/FvdX38G3ub5oNBBlbHvBRo1Ww9iLE+idGMr6FQepKq2nocbC/5bvY9S0vkyePbBRgKIoClUl9WrQk1JO7rEKygtqm7mCyhjmS6/EUHonqcFPeGyg13lAbTXusivI2L+H9D07qSkvY93yl7jq0SfRaLWE+4UTGxhLfk0+e2t3MN73OswNVkotaiK4kn/A41z6aAmEuosEQkII0UGObnWbFpvYttGggtQUFHtdoOamxdIq0jhSqq40GhExAsPan3EsYg+9enb7b9hdcQpsWQ573netBHPoPRYm3wvDr2L/cz8C9UQafdE3U4CwJbEDQrju8Qn88M4Rju9RP/D3fp9FXmo5F902HIvZRt6xcmfwU1NhavF84b0D6TUwxBn8nOxUmzc0Wi3T73mQtx+5j9qKctL27GTX2i8ZN+MKQE2Yzq/Jp9ZaS0C0joosK5XWWEw2P4JOaLWhj3KrLi2BUJeSQEgIITqA1WojZYcaCOn02jYVUQTPROnYZjrOu48GzYw4l6rvXlWvExGB8dxz23vLav5P2kb49RVI+cZzm0YLQ2bA5EXQ90zQaLDaFIqq1SXwMcHtb9/hF2hg+l0j2P9jDps/ScFmUSjMqGLVk1taPE6r1RCVEKQGPYkh9BoYip/R0O776AiBoWFceu/v+eRvfwFg46qV9Bk6nJgBiQyLGMZ3md8BYAmthSz1I7fM2oc+pjRMFhs+9lEw9xEhs7TZ6FISCAkhRAfIOlRKfbW6OqnfyEh8/dv26zWvlYrSiqKwLs0VCE05aKPOrF4n5Ior0BjaEQhYGuDAJ2oAVOA5RYOPEcbcDGfeBeGerYtKahqw2vNxYoJObuRFo9Ewcmofeg0M4Zs3DjinFN3pfXX0GhBsz/EJJaZ/MAaf5nuwdZd+o8Yy/vLZ7Phyjb0FxwvMfe5fHhWmS/3z8EWdFis192Wo4QcO5xQwNEHNs5Icoe4jgZAQQnSAo9tc02KD27haDCDfvmLMx9+f8Lg+jbanlKdwvEJtBzEmajS21791bgud7WWz6ZoSNf9n+xtQXeC5LaSvGvyMvQX8ml5RVeBWEDEmpGOmoKLig7ju8Qls+iiFnOQyIvsG0due3BzZx+ixxL4nO/uGm8k6uI+C48coy8vh5/f+y9ibrnduT9MdYYgjELInTOen7GJowgwAtEYjGj8/lPp6CYS6mARCQghxkkz1FtLs+S6+gXrihzddGfpEVSXFVJepBQZjByY12XHefTToKttoGpLVNkP+o0bhm9j0CrNGipLV/J+9q8FS77ktbrya/zN0Fuha/kgoqHQde7IjQu58/PRMu/nkawh1J53ewIwHHuHtR+7D0tBA8i8bmTb/LnoF9iKvJo/91h0MQa235AiE6rL3AWogpNFo0EdFYc7KwlJU3F1v47QkgZAQQpyk43uKsJjVhOekcTFtXp7tXj8otrlpMXt+kFajZfT2UmeSdEhrSdKKAsd/VKe/jn3ruU2jhaGX2/N/JrbpXsG9z9jJ5Qj9VoXF9iZ++EiO79pOXVUlpTnZDI8YTl5NHiXafPR+Wiz1rp5j+uLDHsfro6MxZ2Vhq6jA1tCA1le+xl1BAiEhhDhJztpBwKA2tNRwaC0/6FDpIbKqsgCYFD4O07INAGj8/Ai+7LKmT2ppgP0fwa/LofCg5zafIHXq68w7Iaxfm+/ToaDCLRDqoKmx35q4IcM5vms7ADnJBxkWNYwNmRtAA7oIM5YcHdW2SBpsAURUp3gc26ioYp/GU6Wi40kgJIQQJ6GmvIHsI2UABEf6ETsguM3H5rfScd59Wuzq/D7YKn9Vr3PJJeiMJ7TuqCmG7W/C9hVQc8Kqo5B4mHS3mgTt1/b7O1FBpVuOUAdOjf2WxA1xJUjnHD7I8CGTnc+rjSUYUFcTlln6kmhIp6iynqhg9WvpEQgVSiDUVSQQEqIiB9bcCcYouPgZCJFfPqLtUnYU4OifOWhibJtbXdisVvKPqyMCQZFRBIaGeW5XbM5q0nqNnoGb0nFU1PGYFis9Dptegr0fgPWE7u59Jqr5P0Nmtpr/0xYyNda6mAGJ6A0+WMwmcpIPMTnidue2XJ80EuyBUIklnuE+yWxLSyFq1BmArBzrLqdGOr4QnWnLcsjYBAc/heVnwb6PQGm+ZL8Q7pLdp8XaWEQRoDgrA0uDGrg0NS22r2gfeTV5AFzoNwrT1h0AGOLjCZhgb81QehxePx92ve0KgjQ6GH4V3L4BFnwLw6/skCAIIN8+NWbQaQgP7PxO96civcFAbKJaD6qisABdrYU4YxwAR9jn3M9RYbo0dZfrWAmEuoUEQkJkbHY9bqiANQvg49vUVgNCtKA0t4birGoAohOCCItte8dwj2mxxMaFFN2LKM5KDnIG56Gzr1JHnWxW+PQe9XsWwDdYTX5+YA9c+xb0ndDonCersEoNtqKD/DqvyetvgMf02JFDzr5j+T4ZztcdCdMWt1Yb0maje0ggJE5vDdWQZ/8rTef2F+7BNfDqFEj9oXvuS5wSjm5zHw1qe5I0nLBi7IT8IKvN6pwW89HoifnBnvSs0RBy5ZXq41+WQpa9EnNYP3hwH1zyLITGe3UfbdVgsVJao07OybRYy+KGuBqu5hw56AyE6gxVaP3VgNYxImQsc30feOYISXXpriKBkDi9ZW+jGhtPRobzyuDJmK9+A/xC1W1VufDOlbD2UTA3rnorTm+KTXEWUdRoNSS1sdO8Q557x/n+Az227SrcRXGdWkvmuprhWHPVKbLAs8/GEBsLBQfhh2fte2vgqtfB3zPHqKMVuiVKx8qKsRb1HjQUjUb9eM057AqE0IAppAqAWls49bYgepmOY7aqpRdkaqx7SCAkTm+ZW3grJJg1QUZeq0vjibKdWO/ZBAPOd+2z9TV4/TzI3dNddyl6oLzUCqpK1ZyZvkPCCAhue85MQ20tJTnqsvio+P4YfD0Di7Vpa52Pp+1z5auFXj0bLCZYcxdY7anTU+6H+EntfRttVuiWKB0tK8Za5BsQQFSC2p6kKCuDgb4Jzm3F/jnOx6WWvgwgl7R8dRpeFxrqbJkigVDXkUBInN4yfmGLv+uX+v/S/sczh/6DMmcNXPo86O3bipNhxQXw8z/V3Axx2kve1r7aQQAFx1OcOT+9Tmi0araZ2ZCh1gsKN/sS9Is6LaYLCcE4bRr89BwU7Fd3jh4GUx9v71vw7p7dl84HSyDUGuf0mKJQk5nrTJhO1x5x7lNq6YtBYyXn2F5ArS6ti4oEJBDqShIIidOX1Uxtzg4O+nr+Jf/x0Y/5566XUCbeCXf+BLEj1Q02C3z3NKy8DErTuuGGRU9hNdtI3anmcOh9tPQfFenV8e6FFE+sKL0tbxtlDWpdorm5/VDsK8uCZ81CW7BHXSoPoDWoU2L6rsnXcW+vERsiOUKtaS5husAvy/m6I2G6OmOv8zVDlLq83lpaimJvris6lwRC4vSVt5e9OhsW++qXxNBENKiP/3vov7y+73WIHgILvoNz/qC2JQA1QfW1s2HXO7LM/jSVcaCEhloLAANGR+Hj593y9DyPFWOegZD7arGJO6qcj0NnXQqf3g2Kmk/C+Y9Br5He3nq75XdSn7HfquYSpkv985yvl5jVQEjn1mrDY+VYsfQc6woSCInTV+av7PRz/UJfcMYCnpz8pPP5K3te4Z1D74DeBy74C8xf62pLYKqGLxbBB3PVir7itHL0JKbFFEVxdpz3DQgkvHecc5vJauK7jO8AGFzqh8/RTHW/YUPxy1wFpanqjn0mwJQHT+IdeM89WTpapsZaZQwLJzSmF6CWShgarAa8DYZabP5qflepJR5FgbAqV2AsCdNdTwIhcfrK+JUdfq4h/nEx47h60NU8NP4h52vPb3+eNSlr1Cfxk+DuTWqbAocjX8HySXD0m666a9HNGmrNpO1Xg1//IAN9h3i3WquqpIiacnXqK2ZgEhqt69fwL7m/UGVWR4FuTHWtQgs9dwRsf0N9YghQp8Q6qEhiW3lOjUkg1BaO6TGrxUJkhet3TWWgGuDUK8HU2UIYYEt3liaQQKjrSSAkTk82Gw2Zv7Lf3t25j7EPsYHqX/bzhs/jnlH3OHf96y9/dfV88g2CK5bB9asgIEJ9raYI3rsOvnwQTDVd+S5EN0jdVYTNok6JJk2IQavz7tdoXkrz02KO1WI6q8KQ7fal+QYDITUfuXa66GmI8Fxu3xUcU2OBPjqMvtKdqS3cp8fKU9PpY1Tb9+T6uHIMSy3xxGjKOZaeDkgg1B0kEBKnp5IU9ik1mLRqTtD42PEem+8ZdQ83D1NHfhQU/vjzH9mYvdG1w9CZsHALJF3iem3nSjV3KHtHp9++6D6eLTW8mxYDz0KK7ivG6ix1/Jj1IwBnp/ujrVArVgcNCUFnzlV3GjAVxrt6V3Ulx9SYrBhrO4+E6WRXwnSRX7bzdUdhxeLUPUDjxqui80kgJE5PGb+w021abHyMZyCk0Wh4ePzDXJ10NQAWxcLvf/w92/O3u3YyRsNNH8DMf6nTFaD2fnrzYvjhb2CVFR+/NVWl9eSmlAMQGhNAdEKQ1+fIdw+E3EaEfs7+mVpLLQBXJrvOGxJu3983BK54BbRd/2u7usFCdYOaHC6BUNuF9epNQEgoALnJhxkWbk+YDnBLmLavHDPnqhXu9dHRzm2WIqku3RUkEBKnp8wt7HBLlD5xRAjUYOjPk/7M9H7TAWiwNrDou0XsL9rvvhOMn6/mDsXZz6FY4ad/qAFRcUqnvg3RtTxbasR43W/LarFQcFxNeA6OinF+SIJrtVhYlULv/ep19IEKgTH2JOXLXoCQOLqDe36QtNdoO41GQ9xgNfhpqK2hn1kts1Dm7/o+KrMHQv5lan0hGRHqehIIidOSOfMX9trrB8UGxNA7sHeT++m0Ov52zt84r895ANRaarl7w90cLTvquWPEQLjtG7W4nUanvpa7C147B7avkGX2vwGK4mqpAe2bFivOysBicnScd02L1ZhrnFOvlxzxQ2OzN1jtV61WbRg6C0ZedxJ3f3I8AyEZEfKG+/RYQL6aEG3S19Pgr059lthXjsXWH8ditaELDwed+jtEcoS6hgRC4vRTkcPBunzq7VMM42MntPiXvUFr4MXzXmRi7EQAKk2V3Ln+TjIqMzx31OnhvEdgwbcQkai+ZqmDr/8Aq66FqnzEqaskp5rSXDUZPnZACCFR/l6fw2NazK3R6o9ZP9JgbQBF4aIDrl/LIf1rITAKZr6kjj52k0KpKt1u7gnTJSnH6Ruk5gQV+amtNkxKIDW2cJLIIr2oEo1Wiz5CXYghgVDXkEBInH4yf/WcFotpPC12Ij+9H0umLWFkpFrArqS+hDvW30FedV7jnePGwV0/w4Q7XK8d+xaWT4Ztb0DmFqjMBZvtpN+K6DrJW12jQYPP9K7BqoP7ijH3itKOVYmDcyAoX10+HxDdgI/RCpcvgUDvKld3tHwZEWq36H4DnL3kco4cZFj4UACK/Tx7jvlrTGQeU9upOKbHLCUlKFZp6dPZJBASp59Mz/pBTeUHNSXQEMjyC5czKEyd0siryeOOb+9wdgn34BMAM16EOZ+A0f6hWVcK/3sI/nMJLB4Kz8bAkrHwzlXw5QPw82LY/zFkbYfqQplO60FsNoUUe36QVqshcVw7AyH7iJBWpyO6/wAAKhoq2JS7CYBLD7ravYQOqIUxc2HIZSdz6x1CcoTaT6vT0WvQEACqy0oZolObsZa5JUyXWtSmrFWZewC3hGmbDUtJSdfd7GlKikGI044l81d22wOhSL8I4oPiqauqRO/j06gL+IlCfEN4/aLXuXXdrWRUZpBRmcGd397JyktWEuIb0viApAvhnl/hqwfg8Jee26wmtVKwo1rwifT+EBqv/gtLsD+2/zesH/iHdet0yekk52gZNRVqfkf8iAj8jAavz9FQW0NprrpsOiqhPwYf9Xvw+8zvsdgs+JoUJh5Qp6C0BhtBwyLhkr930Ds4OTI1dnL6DBlO5v49AMSUqf/fSwNcU+WOJfSaArXVxom1hAxuK8lEx5NASJxe6so5UnaM2jj1L/rxsRPIOXyQD5/+E75GI1f8/k/0GTaixVNE+kfyxkVvMG/dPPJq8kgpS2HhhoX8++J/E2gIbHxAYARc9w5k/AJ5e6AsA8oz7f8y1HYdTbHUqV3vi5Ob3u5jPCE4sv+37yQwRjV9jGiXo1s9V4u1R/4xV8d592mxb9LVquSTjyjoTep0aXB8HdprV4BfcHtvuUO5T41Fy4iQ19zzhLQ5lRDguXLMEQiFVKk/61JUsWtJICROL1lb2eHnmn4YHzOe3eu+RlFs1FdV8vHf/syM+x4m6cyzWjxNL2Mv3rj4DeatnUdJfQn7ivdx//f388oFr+Cnb+IvZo0G+k1R/7lTFKgrg7J0V2BUnukZLFnqmr4JUzUUHlL/uTMEwPXvQOKFbfiCiNZYTFZSd6sfRgY/Hf1Hti9fx6OQon3FWGl9KVvytgBwyV7XVGjorMug/zntveUO55gaCwsw4KvXdfPdnHp6JQ1Gq9Nhs1opPJpC/DnxZFZlUuVbQlBDhLPnWD9LOhW1ZgmEupgEQuL0kvkrO/xdgcrYqDF8s3eN87nVbObLl57jgtvvZtRFLedmJAQn8O+L/838dfOpNFWyLX8bf/jpD/xr6r8waNs4daLRQEC4+i9ubOPtiqK28CjPbDpYqshSp9jcmWvhg1tg/tfQe0zb7kM0K21fMeZ6NWF14Nho9D7tCwTymlgxtiFjA1bFSq8ShYHZaiDkG67Fb/7ik7zrjqMoilSVPkkGXz9i+ieSdyyZ0txshgcMIrMqk5KAPIIaIjAr/lTZokjQFbI9K48h0RIIdSUJhMRpxZrxC7vs/cXCfELwKzDRUKsuifbx98dUV4ei2NiwYjnVZWWcde1NLS6tHxQ2iNcufI0F6xdQa6llY/ZG/vTzn3junOfQaTvgL2eNRq1gbYyGPk0kddtsUF3gCo72faiuUDPXqEv2b18P4QNO/j5OY+61gwa3c1pM7TivrhjzDQwkLFatW+Uoonj+ftcKwpDrbkTjE9De2+1wPyYXYbKq9yeBUPv1HjLMGQwnVqujiqX+efQrU6fiS83xBOuKKDy2mxHxrl5ylkKpLt3ZZNWYOH2Y60kp2k+VvUnmuNgJpO9x9QWbNv9uxl8+2/l8yyfvs+GNV7C1snz1jKgzWHbBMnx1aoC1Ln0dT295GqUrVn1ptRDcC+InqQX3rn8X4u3TejVF8O7VUNPEqjbRJnXVJjIPqKt2AkN96T3Iu07zDpVFhdRWlAMQO3AQGq2WotoiduTvQGtTmLbPHghpNYTcfE/zJ+piPx0t4q53dzqfnzUwohvv5tTWx62wYnCx+ruhrImE6Ybc/eg9RoTk57ezSSAkTh+5u9jhNq0xPnY8abvtgZBGQ//R4zhv7m2cf8sC5z77vlvHF4v/jtnUcOLZPEyIncDi8xej16iDrGtS1vD89ue7JhhyZ/CDG9+DKLVWCaXH1ZEhU03X3sdvxLEdhdhsbp3mte1bpdfUtNj6jPUoKIw6rhBSo543aNo0ZzG97rbxaBF3vL0Dk0UN0i47I5bbzu7fzXd16uo9eKjzsSlDne4q9VhCr7ba8C05rH4P2EeiZWqs80kgJE4fGb941A8a7pNIUWY6ALEDk5x9n8bNuJLL7n8YrU4NalJ3bOGTZ/9MfXUzq7vszu1zLn8/9+9oNeqP1buH3+XVva92/PtojX8YzP0YguxtQ3J3wUe3ShPYdnDvLdbeIorQdKPVdUc+BGDaPlewHHL11e2+RkfalFLsEQRdOiKWl28Yg0EnHxntFRAcQnicOupTkpFO/4AEyv0KsaF+jR2BUHRdKjatTm21gQRCXUG+q8Vpw5bxq7PjfLDBiCat1Lmt/2jP/JuhU87jqseexOCntlHIOXKI1U8+QlVJy8PU0/tN56+T/+p8/ureV/nvwf920DvwQkgfmPuJ2rEcIGU9fPXgKVGk0abY2FO4h+3527t+RM1NRVEt+ccrAQjvHUhEnLHd5/KsKD2IvJKj7Kk8TlCtwvgU9YNQFxWJ8ZzuXym2+Vgxt/93Ow32IGj68FiW3ChBUEdwTI/ZrFbOMCVg1Zmp9FN/p5Ra+2BTtAwig4ziald16eJiFKlC36nkO1ucHmxWjufvoNzezHBszHjS9+xybg78/ifynnrKo4prv5FjuP7JvztHikqyM3n/zw9Tkp3Z4qWuSrqKRyY84nz+4o4X+fjoxx34ZtooZpg6TaazlwvY/S788Leuv482yqrKYvme5Vy25jJuXnszt31zG7esvYV9Rfu65X48kqTPjPW607yD1WKhME0tmhkSE0tAcAjfbHgIgHMPKOhs6nlDr7wSjb5716/8ckIQdMnwGJbeJEFQR3GvJ9SnQq055pgesyq+VFqjCdHUkp6W4soTMpuxlpd39a2eVuS7W5weCg+xQ2txPh0XNZYMe6VXX70Bww8bKX9/NcdnzKTiy6+cIxExAxK54ennCYlRO41XlRSx+i+PkJN8uMXL3TzsZu4dfa/z+dO/Ps3atLUd/KbaoN/ZMPvfgP1DfOPzsOM/XX8fzagx1/Bpyqfcuu5WLltzGa/ufZWcalcPpj1Fe5jzvzk88tMjHq93thM7zSdNaP+0WHFmOhazWuKgV+JgSF7L2oojoChM3eu2Wuyq2c2dokv8klrMbf/dTr1ZvaeLhsWw9MaxEgR1IPdO9D55am0mz8KK6vRYRdpuqSXUheQ7XJweMjz7iw2oCsdcrxYqjK5pcIQJWMvLyX34YbLvWYi5QP0gDIvtzY1Pv0B0f3VJa31NNR//3+Ok7tza4iXvGnkXtw6/FYDguki++u8OPnz3e6yWLh7mHn4VTH/O9fzrP8CRr7v2HtzYFBtb87byp5//xNQPp/KXX/7CzgLXyiQNGs7qfRb9Q1yJuWvT1zLr01m8tPMlqkxVnX6PhRlVlBfUAhA3KJSg8PYvG89NOeJ83Cs+jsyv7+eQry8D8yDePtPqP2YMvgO6LxH519QSbnvLFQRdODSGV24ai49ePiI6UnBUNMZwNRm+OiMHje3EhGk1h8hWeMgzECqUQKgzyXe5OC0oGZudHecDdX5YU121OSLy1V8ymgBX7ZbqH3/k+IyZlH30EYqiEBgaxvVP/p34M0YDYDGb+PzFZ9n//fpmr6nRaFg4+D7mlT/CdXv/yLD8KRRtgv++/C02axcHQ5PuhikPqI8VG3x8G2S2HMh1tMzKTJbuXsr0T6azYP0Cvjz+JXVuVbP7h/TngbEPsP6a9bx+0et8MusTHj/zccJ81SXrJpuJ/xz4DzM/nckHRz7AYrM0d6mT5tFS48zYkzpXfoorUTo27wvWadSRgKn7XN8DoVd332jQluMnBkHRLJ8jQVBn0Gg0zlEhS0MDI2wJJ/QcU0eEgiuSZUSoC8l3uvjtUxQycrZSYm8NMCZmnDM/SANEVql/+Ufdfx9xS5egi1KLndmqq8n/81/IvO02TNnZ+PgHMPuxJxky5Tz1tDYb619fwpY1HzRK6rVabOz9LotVT27B/3AcOsW1bL8uxcCSf36CydLFq7gu+CuMvF59bKmH96+HoqMtHnKyqkxVfHL0E25ZewszPp3Bv/f9m7wa11/AQT5BXD/4elZdtorPr/icBWcsIDZQDTwMWgM3DLmBr2d/zfwR853VukvrS3lm6zNc/cXVbMze2OEJ1VarjZQd6migVq9h4JiT69uWZy+kqNVqic5bxzpjAD5mhbMPqfet8fcnaPqlJ3fT7bT1eAnzV26nzqzWyrpgSDSvSBDUqdzrCQ2qiaHCrxCrRv36l9gDoXhzGubQcOd+Egh1LvluF799ZenssFU6n47xHUppThYA4ejwsY/OBE2bRvBFFzHwq68Iueoq5/61v27h+OWzKH37bbQaLZct+gNjL7vCuX3zB+/w/crXsNmsKIrC8T1FvP/UVjZ9lEJDrTpqoffRUj84D6tGfW44HsFzL7xFWW1Zp799J60WZi2DAVPV53Vl8O5sqMxr+TgvWW1Wfsn5hUc3PsrUD6fy11//yu7C3a7b0Gg5J+4cXjjvBX647geemPQEI6NGNpuMHOQTxO/H/Z4vrvyC6f2mO18/XnGce7+7lzu/vZPk0mYa07ZD9uEy6qrUILX/GZH4Bnjfad6hvrqasjw1tynar5oMXx0pPj5MTFYIsJemCp4+HZ2xiWa9nWxbWinz33IFQdOGRLN87ljpJdbJ3BOmI0r02LRWKvzUEepyi7pybIAmj1xcPRGlunTnkhYb4rcvc4tzWgygd6Efjo/NiDz1Ly2fgQPxiVf/GtOFhND7738j+LLLyHvyL1hy81Dq6ij429+pXLuOXs8+w/m3LMAYFs7GVSsB2PPN15TlFaP1vZi8Y27FCzUwZFIsZ84aiDHMl3fXfkbZF4FoFR0RGQN5dvGbLLhnJkMihnTJlwK9j9qQdeVlkL9P7VW26hqY/z/wCzmpU6dVpPFF6hd8kfoFhbWNf3EnhiZyxcArmDFgBlEB3o+y9AnqwwvnvcCcoXN4YccLztVkW/K2cO2X13JV0lUsGr2oXed2l9yR02Ju9YNifctZF6gGPOfvd2uw2g3TYtvTS7l15TZqTWoQNHVwFK9KENQlIvsm4BsQSENtDUp2GfRXK0yH1/XChp4Kay/C9DkUVBWRYD9GRoQ6l4wIid88NT9ITZT21/rQkOoaAYmuVIOWoGlTGx1nPOdsBnzxJWE33eh8rW73btKuvIqSf7/B+EtnMX3h79Bo1R+jjH1bSd+9EkVR/9TvnRTKdX+cwAXzhmEMU68/99IrGXJdMIq9iFr/7LEsWb6ab9KazzXqcL5BMOdjCFUDPwoOwAdzwdJy9eymVJoq+TD5Q+b8bw6zPpvFiv0rPIKgEN8QbhxyI6tnrGbNrDXcOuLWkw5URkeP5t1L3+WF814gzhgHgILCmpQ1zPh0Bq/tfc0j98gbpnoLaXvVDx3fAD0Jw0+uyrNjWgwg1r+SdUHBRJUrjExXAyFDQjz+48ad1DW8tSO9lFv/4wqCzhsUxatzx0kQ1EU0Wq2zyrS5upaQGgOl/o1bbVRVpDtfk0Coc0kgJH7zsrN/pcBen2V02CiyD+wHwE+rI6heXdZsnNo4EALQGQOJ/ctfiH/7vxgS1MBBMZkoeuklUq6fQ8XxIHyDr8QxuKpYsrHWfsT5c/pw5e/HEBUf1OicF009k4k39UFB/TAcnnMuq9/dwJJdS7ApXZREHRQDcz8Ff3seQtpG+OwetYlrKyw2Cz9n/8zDPz3M1A+m8n9b/s+j1o9Oo+P8Puez+PzFfH/t9/zpzD8xPHJ4u+vwNEWj0TC933Q+v/Jzfj/u9xgNarHDOksdr+x5hZmfzuSL1C+8/nqm7S3GYlKPSRwXjc5wcr8i8w65pgTrg+tJ12s8GqyGzr66Q78urdmZUcq8/2yjxh4EnTsoitdvHoefQYKgruS+jH5oXW+PlWOOPCFDxVF0IeoorQRCnUsCIfHbVlPMzjrXL5lR5v5Y7H3Dosqq0AC6sDD8R41q8TSBEycy4LPPCL/tNhStjryYiWwMuZ7dW6tB0w+foGvRaNUq1BZTIb988JwzN6QpE88dwjk3JTqfj8+Zzo51adz//f1dsjwcgMhEuOlD0Kv3zYFP4Ns/N7u7TbHxZeqXXLbmMhZ+t5B16esw2UzO7UlhSTw8/mE2XLuBpRcs5aKEi/DR+TR7vo7gq/Nl/oj5fD37a24YfAM6jfqBXlhbyOObHueGr25ge/72Np+vI1eLKVYLeUcPAuCnM/PTsDFoFIXzHS01tFpCrryihTN0rJ0ZZcz7z3ZnEHROUiT/liCoW7gnTCdUhVLWRM+xyJpj6BzVpYuKurXK+m+dBELity3Ts35QRK5rU1SZmkBtPO88NLrWPwy0/v5YrlzAvqtf4fDQeTTYl3VrbFb61+Uxe96dBEephfcqiwp5/y+PkJfSfBLvqHMTOPu6JOfzMzMvp3Q7zPnfHNIq0rx6m+3WdwJcuxLs/dH4dRn8+kqj3bbnb+fGr2/kT5v+5LHqK8w3jLlD5/LhzA/55PJPuGX4LUT6R3bNvbsJ9wvn8UmPs+aKNZzf53zn64dLD3PbN7dx//f3k+421dCUmooGsg6rbVeCIvzoNeAkc6ZWP0W9WR3tiQ2ysl7XwIh0hSh73n7gOWdjiGl/oUZv7MosY95/tlHdoCbrn5MUyRu3jJcgqJvEDExCZ1CT8AMLLFT4FTsXUhRb1MygJDKwhKlTs0pDA7bKyqZPJk6aJEuL3za3RGkfjZ7q5AxALdoXYV82b2wiP+hE5YW1/LomleN7PIeoI0v2M/DYGgLrCqnbreXCG29go58fxVkZ1FdV8uH//YlZv/sjfUaO5dUfUympbiAxJohB0UYGxQQxalpfrGYbv36qtmCYkj6bn7QfcFPtTfzj3H9wbp9zO/Kr0bTBl8LMf8GX96vPv/kTGGPgjGvIqMxg8Y7FfJ/1vXN3jaJhcu+zuH7IdZwTdw4GXftXVXW0ASEDWHrBUrbkbeHF7S+SXKYGoj9k/cDP2T9z/ZDruXvk3YT6hTY69tiOQmcrtkETYtC0s9M8QPav3/DllzsANdDwnTiFnJo1XO3WYDV0dtc0WN2dWca8N11B0NmJEgR1N73BQOzAQeQcOYitrBq/Bg1l/gVE1sZRaemFVdEToykn288fR3UzS1GRc6pMdCwJhMRvWn7Gz+T4qt/m432GUlGgTn2EmywYbAoagwHjlCnNHl9fY2bH/9LZ/2M2NqvrQyyij5Ep1yQSpYkj708/U3+wEGw26le9x8T4ePackUhudgaWhgY+e+H/8Dn/RhYfb5wvFGn0ZVCMkdFJgQSmqInb5x2/nu81ZhZ9t4j7x97P7SNu7/w8knHzoCoPfvw7ABWf38Nr+T+xOm8TFsVeuFCBc+pnMPrYxej2GwjXJqDt3TM/TCf1msQHMz/gi9QvWLp7KUV1RVgUC6sOr+KL1C+4a+Rd3DjkRo+pO4/VYhPbPy2Wd/QIa5YuwWKvHZUYH8yh4f4E7lGYmKx+D+nCwgiaen67r9FWe7LKueXNbVTZg6ApiRESBPUQcUOGkXNEnTqNKfOjzD+fyNo4FHSUW3oTYcikBpNHIOSbmNj8CUW7tSsQ2rdvH0uXLmXPnj2YzWYSExOZN28el19+eZvPYbPZeO+99/jggw/IyMggICCAM888k9/97nf069ev0f7Tpk0jJ6fpnIvrr7+ep59+uj1vRfyWmWrYXpkKUWpC8LCqOCyow8tRxeUABEyahDawcQ0Xq9XGwY05bPsqjYYaVwXjgGAfzrxiAEMm90Kr1QDh9PtgNaVvvUXRkqUoJhNkZnJGVha6KePIqirDZrVS/927jA2bxK6Q0eAW1BRXN1Bc3cAvCpzrq+fMBnV05fzUm7BqLby862XWp+zmgVF/YkTvaEL8O3H05bxHMVdk837qZ7wWGkJV7o/OTX20/bk6714ajhswA2bMbP74GPt/ymHK7ET6j47s0qTfttBpdVyVdBWX9LuEtw6+xVsH36LOUkeVqYoXd7zI6iOrWTRmEVN6T0EpN1CUqeZmRcUHEd67fXV9CtOP88kzf8RsVb8W/ULrufTJd1iy9hqmHFLwUdNzCJl1ORqfzs2f2ptVzs1vbnUGQWcNjGDFLRPw95EgqCfoM2Q42/gIgMSaSEoC8sDe87nUEk+EIROz4soXlITpzuN1ILR161Zuv/12DAYDM2bMICgoiPXr1/PQQw+Rk5PD3Xff3abzPPnkk3z44YckJiYyd+5cSkpK+N///sfmzZtZvXo1iU1EvkFBQcybN6/R6yNGjPD2bYjTQfZ2dvq6PmyMWQ2U2x9HNbNsXlEU0veX8Msnx5y9pgB0Bi1jLopnzMXx+Ph5/tho9HoiFizAeMEF5D3xZ+p27kSnKIzYtANdUjzp9oJ8U8q20N9Qw7CzzydDF8nRUhMpBdWU1JhAAxv9LOgVDeNMerRouSDlZqxaM4fZyB0bUqjLvplo/14MigkiKTqIQTFGkmKCSIoxEux3cgGSoihsyNzAS5bjZEWEOV/3syncqnsAw85BNNRbGx1XWVTH2tf30zsplCnXJBKdEHxS99EZAgwBLBy9kKuTrmbp7qV8kfoFCgrZ1dk89vNjAFxYcCOJTAIgZASYbWZnJeu2KsnO4uP/+xMNDWoxxr4B5cx66P/YV3OcwtpCj5YaIZ08LbYvu5y5b26lql4NgiYPiODNeRIE9SS9Bw9V/yhSFGJL/TiW2LjnmE5T6nxNAqHO41UgZLFYeOKJJ9BoNKxatYphw9QKmffeey833HADS5cuZfr06U2O6LjbsmULH374IePHj2flypX42P8yuvLKK5k/fz5//etfeffddxsdFxwczH333efNLYvTWcav7LQnSvtadVQdV6tJ+ytgtH9YGc8/37l7UVYVmz8+Rk6yZ7XnQWfGMOmKga023vTt35+Ed96m7L33KVy8GGprGZqSiU90KEd7qUmPvQv3U75mP6FaLZf3H0jckOEE9xtEdUhf0ms1HM2vJG9HGb1KrGjRcdHR+awb/AZZYUcI6LeM4pw5FKQM5OeUYo9r9wrxI8mee3Te4CjOSWp7rZ4DxQd4YfsL7Crc5XxNo8CVpX6MyJhDUcNAzKhBkH+wD+fdOIjgCH82f5xCztFyAHJTyvno7zsYPCmWSVcMdNZN6kliAmN45uxnmDN0Di/ueJFt+dvUDQpE56hJ6zZs/KXgQZ54z8SwiGGMjBqp/oscSUxg84nN5fl5fPzM49RVVwPQy7+SK6+YgCFpKmu3PENCgcJA+8yb34gR+A0e1Gnvc392BXNXuIKgSQPCefPW8RIE9TC+AYFExfejKCMNfUkDlUNLnNscS+jD9a7gR6pLdx6vAqEtW7aQmZnJ7NmznUEQgNFoZOHChfzud79jzZo1/P73v2/xPB99pA4HPvjgg84gCGDy5MmcffbZ/Pzzz6SlpdG/f/d1YxanvqLMn0n3Uf+qP7NhIFazfdl8SQUawHfYUAy9emG12Ni4+iiHNueC2wrVXokhTLkmiZh+bR/l0Gi1hM+dg/H888n/y1+o+eUXEgvL8bVYORAXhWJPwFVsNvJTU8hPTXEeG967D+cOHU7cxcNIP+BL2r4GdOi55OgC/jfkdXJDUgiIf5P6ghmYy85C7ZSmyquoJ6+ino1Hi1ixKY3fXTiIBy5MOvH2PORV5/Hy7pf5+rhnJ/oJMRO5vvZW0rfWUKS4fj6HTIxiyvVD8AtUv6ZX/G4MaXuL+eWTY1QUqQUMk7fkk7qzkDEXxzPm4gQMvj3vw3doxFBWXLyCX/N+5efsn0lLzie4QQ1Uc0KSqfWpBCvsKtzlERxGB0QzKmoUIyPV4GhoxFD89f5UFhfx0TOPU12m/vUe7VvN7OHl+Fz6NBabhW8zvuXyLmqweiCngrlvbqXSHgRN7B/Of26dQICPpIP2RHFDhlOUkQaKgn9dDWatCYPNhyLrAAD6BeSTgzq1LyNCncern45t29S/oM4+++xG26bYE04d+7Rk69atBAQEMHbs2EbbHIHQ9u3bGwVCJpOJTz/9lIKCAoKDgxk7dixDhrStNcHKlStZuXJlm/Z1KJJvvFOX1czOkoMQoQYxA8ujUMgGIMq+Wixo6jQAdvwvnUObXOvqgyP9mHxVIgPHRrU778WnTxx931zB3jfexbxkMX1Lq4iqrKXE6I/p0osprCyjJDvT45jS3GxKc7PZ/903AOh9g7HZeqHVx3HZwav5avhq8kPS8Yv9kmkjzYwPuoPjhQ2kFFRxtKDK+eEH8NKGo2g0cP8FjYOhalM1bx54k3cOvUOD1VVNul9wP+5N+B3VG4I5drwS7L2OjNpCzg95jYSAOPB/27m/RqNhwOgoEkZEcOCnHLZ/nUZDrQWL2cb2r9Wv6ZlXDGTIpFivV2A5aqZ0Vt6RRqPhrN5ncVbvs/jxWDIHUfMPB5/ZC1vkpewr2kdOtWdOYmFtId9mfMu3Gd8CoNfoGeaXyOjvFLTlakf5CJ8aro7fj9/sj8A3iO25v1JZXcI5B+3vx9eX4BkzOuU9HcipYM6KrVTUqaOdE/uFs1KCoB4tbsgw9nzzFQAxZb6U+xcQVdOXakskFsUHo7/r59NSKJ9HncWrn5D09HQAEhISGm0LCQkhLCyMjIyMFs9RW1tLUVERgwYNQtdE7RbHtJrjWu6Kiop47LHHPF4755xzeP755wkPD2+0v7vq6moKCgpa3Ef8huTvY4fB/iGqgCGjChNq4ayIanX0wjh1KlazjYM/qx94Wq2GM68cwKipfU+6ojCoH7afxozhywse5t69azgr/yBx5dXov9/MJV9+QQMKucmHyUk+RM7hgxSkHcNmdeXhWBoqgUps5mSog+m/+FIQFk9WVDnHSn+gZmAOi6f/i+iAM1AUhaKqBj7amc0L36hLxhd/exStBhZNU4Mhi83CmpQ1vLLnFUrrXbkHIb4h3D3iHgZlTmLnfzKxWVz1SkaM92Vy/uP4WIrhyG7438Mw458eCd86vZZRF/Rl8KRYtn+dxoEfc7DZFGoqTHz/9mH2/ZDF2dckETfYlXvUkoLjx1i3/CUaams5/5bbGTSp8R9eHcVqsXHM3mleb9Ay57JZ+PipIzYldSXsL97PvqJ97Cvax/7i/dRa3PLGGmz0/6kCbbUaMFYGmPnfxGK2Bo9gZHUyo3L8+OL4F4w7phBs7/gRdNFF6II7Po/qYK46EuQIgib0C2Pl/AkE+koQ1JO5N2CNrwyhNCyPqJq+gJYySxxRhjSsvj7oGkwyItSJvPopqbbPfwcFNV4GDOoUWX5+fpPbHKqqqpz7NncO92s5zJ49m4kTJ5KYmIiPjw+pqaksW7aMjRs3snDhQt5///0W/3o0Go3EeFm8rKioCFsbWg6IHsgtPyi82oCprML+uB69TUEfHY3f8GGkbC9wdhofMCaKsRc3DvLby2K18fX+PEr9Q/jHlNtYl/cJDb/8gqWggILn/kHvvz1L4oRJJE5Qk3TN9fXkHUsm58ghso8cJO/oEcwN9a4TKg3ElGqIKVUDCsu2cv71zTzGjbuAcWOn0mvQUO6dmoivXsszXx8G4MX1R9FoNIwalM8/d/yTY+XHnKfTa/XMGTKHq8PnsG11FtuzXH/EhET7M+3mIfROCoPUN2DVtWCzwI43IbgXnPtwo/frF2jgnOsGccZ5fdj8yTHS96l5TMVZ1Xz20m76j4rkrNmJhMYENDrW4fCmH1n/+lJn9e8vX3qO4edfyLRb78THv/nj2ivjQAkNtepIWv/RUR6J8BH+EZzf93zO73s+AFableMVx9XAKGc3mg/3ElStjvRU+1n45swCavyh0FLKpj3Lned5bK9rvjV38oVkprpyQTpCZb2ZRz/ZR3mt+n08PiGMlfMnShB0CggKjyQkOoaKwgJCSjVkxLpGpkst8UQZ0rD46dA1yNRYZzplflIWLVrk8XzUqFG8/vrrzJ07l507d/LTTz9xvlvi64nmz5/P/PnzvbrmueeeK6NIp6iyjJ85Zs8/G1PVB+xNTqMq1ADbOHUqGo2G/T+6pj9GnBfXoffwS2oJxdVqC4oLhsbQd9EzHJ95ObaaGirWrCF4+iUYz3UVTDT4+RE/YhTxI9R2H1aLhaL042QePMDOtb9SW54OiquZqN6mJaIY0r/5kfRvfkSj0RKV0J+h4yby+MXjeHZ9KlrffJYdehN9ZorHvV2UcBH3n/EA+T9bWLvyCIrNMRUFoy+MZ+Ll/dE7kmsHToMrlsOnd6rPv39GLbg45maPkSGH0JgAZiwcSfaRUjZ/coziLPVrnra3mIwDJZxxfh/GX9bPmWsEYLNZ+fm9/7LjyzWNznfwxw3kHD7IZfc/RK/EwV7+X2jZ0W2un+9BE1v+Q0mn1ZEUlkSCfx9M72wht9TeONVgJmbIMcYrGvbpIymz1DiPCa9UGJ2m7lfgH8b8bSaU7Vs69D24G5cQxlu3TcQoQdApI27IcCoKC9BYFcyKeyCkrhzDVx0lttXWYq2uQWdsX2kH0Tyvxv8dozWOUZ0TVVdXNzta5ODYfuKIj/s53K/VEq1Wy+zZ6jD2rl27WtlbnDYUhZ1uSa59S1xTEVGV9vygaVMpyqoi/7h9pKh3IL2TQjv0Nj7f4/qldsXo3hh69SL6sUedr+X9+S9Y/7+9+w6PqlgfOP49W5PNpvdKaAFCkd4EQUBBQBAF9NoVr72hXuxdrwW9KiI/O1Y0IChIEaz0FgggJYAQEgjpfbN99/z+OMkmIZQENgllPs+TJ9nTZjYn2X135p2ZE/wvAag1GqLaJdF3/NVMefc1WvWYhi7gVjSGy9D6dcbuV/fNTpbd5B86wIb53yEtepth7ZdgaP0eGmNNENQ1rCtfXfEV0xKeZ937OWz5JdMTBIXG+nHN470ZeE27miCo2kXXwogXax4vegD+1wnm3QobPoSj28DlrHNKXMcQJj3Zh2E3d8QQoASlbpfM9t8P881z69n+x2FcLjcWUwULXnuhThDU5dLLGXn3Q2h9lHXQSvNy+O7Z/7BhQQpud/1h/KfDZnF6Wq18/bXEJ5+8ex3AYbexcPrLHN2ntLj56iRuiN/B3bZCZkYOY+X161k6YSlXRDyKo3ggg9P8UVU1CK1o1QdZarpVjXomBPHFbX1EEHSOqb0Aq95S6vm5wJkIgMGnplXYWSBGjjWFRv3HVOfvZGZm1pu7p6ysjJKSEnr06HHSaxgMBsLDwzly5Agul6tenlB1btCphuBXCw5WugksFsspjhQuGIX7SZUcgA9ah4R0tBwZMDhc+NkdSL6+GPr3Z/O8mvW8ug6J9WpirtXhYvkupZvYX69haIcIAIImTqTil+VUrl1b1UX2OjGvvnrK6+l8NFz5QHcWvgsFWSFAV2JCxpHd70/W7/6ZyBI9kcU+BFfokICynBw65sqYO/izq3U5bmcQtvxRDI6diOkvifl/bvGMkFOpJXpdkUivUa1Qa07yRn3xQ8rs0xs/VB5X5MCuH5UvAK0fxPWGhAGQ0A/i+qDS+9NpYAxte0aQ9msW21Zk4XS4sVU6WTN3P2kr0rCW/kRlSX5VXdRcesudXHT5aCRJIq5TF5bOfIuc/XuR3W7WpnzNoe1bGX3/owSER5zGnalxYGs+LmfVSvO9I1GrTx6kuJwOfv7fa2Tt3AGA3kfHxOgNhOrN4BcBo17H6ZaZ9VspczeFI8ljGbp9NwCyJBE1+RruCTmzOp9IXLAvE3rEisToc1DtPKGgChm7yorO7UORSxksFOhrphilYcBZUIBejKb2ukb91/Tp04ePPvqINWvWMOaYkQ9r164FoG/fvqe8Tt++fVmyZAlbt26lT58+dfatWbPGU1ZD7NihvCjFxnq3W0M4h2XV5AfFFPkgu6q6xUqV1eb9Lh6Iw6Vi3yYlUNH6qM94pfFj/ZGe71nbaVSXKM+SBpIkEf3ySxy8cpzSRTZ/AQGjRmEcPPiU19QbtIx7sDs//m8rxUcrMRXbiN88jHYTknlt98s43SUEmDRcsi2MsHI9almiT3owySWtSdFfQYw7hOIFh9nhrnnDj2jlz7CbOxEae+oWWCQJRr4GYUmwZxEcSQV7rZZdRyVkrFS+QFnINbILJAxAl9CPfkMGkHxxfzYuPMjejbm47PspyvgFUHJbfPwCGP/YU8Ql13zICoqK5roX32T9/O/ZuCAFWXaTnb6Lr6Y9wIg77qXjxUNOXe9jyLKMw+Zi74aafMYOp1hSw+1ysWTGdDLSUgHQ6n24ptVuIlRV3WBj3qYUI/d+vol1B4pQyW4eTPuB2Eqlxck4oD8PXt8M68YJ55yQmDh8/QOwVJQTVepLSUQOkZWtMTtDcLj1aHxrDaAQeUJNolGB0IABA4iPj2fx4sXcfPPNdOrUCVC6s2bNmoVGo2HChAme44uLiykpKSE4OLjOqK7JkyezZMkS3n333ToTKq5fv541a9bQp0+fOkPn//nnHyIiIgg4ZrRFamqq5/zLL7+88c9eOC+VZa5mb9X8QcklNRMLRtQaNp++PhenXQmQOvaLqjdb9JlaVKtbbFz3mDr7tDExRDw+jdznngeULrI2Py9CfYpuZQAfo5bxD/fgx7e3UppnprzQSvDPMXx082c8nvoohRSydGAuPfYH0+VAgBL45ZVyu/ontD4jUOuqhtOrJQaOb8tFw+NQnaIlpA6VCvpMUb5cTsjbCYc3QtZ6yNqgtBJVk92Qu0P52vQRAP6BCQyP74c7PoS/d+z2HCqpI5A149iXqiY41oZfYM2EjCq1mosn30Bitx4snfk25QV52MyVnsBk2O33oPP1xWZ2Yi63Yym3Y66wY6mw13rsUH6uUB47HbVmeQ73JSLxxL972e3ml/97l/0b1wGg0emZ0F9PdH5VflnyVRwMH8aUWevIKKxEJbt5LG0ul2alVv2u1YTeeWfDf8fCBUWSJGI7JvPP5g1o7VChPkgkyvtfsSseH5+aPEYRCDWNRr36azQaXnnlFe644w6uv/56xo4di9FoZMWKFRw5coSHH364TgDz7bffMnPmTO6///46M0L379+fSZMmMW/ePCZMmMCQIUM8S2wYjUZeeOGFOuUuW7aMTz/9lAEDBhAbG4tOp2Pfvn2sXbsWlUrFiy++SExM3Tcb4cKVlrMR2SgpMwbn6wE7KlkZMYYk4XfJJeycWTN6qrOXk6TLLA7+2Kt09YQZ9QxoE1rvmKBJk5QusnXrcObmkvfGG8S88kqDrm8I0FUFQ1soL7RSkmvm4LcSX971DTPT30MlqbjjqjvQZZv5+d3pWCtKwGXBUfkzbkcXcv0H84tBQu/rpEdjgqBjqTUQ01356ncXyDKUZtUKjDZC/m5qz1JpK85m6c5dHDTV/E70Pm3BZzSSpGXPuhz2b8mn18gEug2Lx2FzYalwVAUzIXS/Yhq7V86hMHMLALtX/0n6+q1oDVcgqU/vNaDjgOgTdovKssxvn85iz+o/q56yhvGThhG/9SnlAN8QNiU/yR0frKXc6kTldvH0jrkMzFLqh0ZD7FvT8evf/7TqJlwYYjt25p+qJHq364hne7EjngTfmvnGxFxCTaPRH4P79+/PnDlzmDFjBsuWLfMsuvrQQw8xbty4Bl/npZdeokOHDqSkpPD1119jMBi49NJLmTp1ar2JFPv168eBAwfYvXs3mzZtwm63ExoayujRo7n11lvp1q1bY5+GcL4qP0qqqxwIILhCi1SpjNoKrahELcv4du9OboHKs45YbFIQoTEN6BZqhOW7crFX5Z6M7RaN5jjBhiRJRL/yck0X2Q/zCRg5CuPghs2ZYwzWe1qGTCU2irIr2fDpUV5++FX0Bi2WCjurN+5HVl2HSvsbboeSMO2y70RTdhidfgSvLJGRJIkpg7yUcyBJENxK+eo2WdlmKYUjmyFrPcV7NrJwk5Vim5IALSFzSUQG3YPX87elmFTTZOyyH06bi42LMti4KOMEBQ1Ba4jAYf4dsON2lmErT0Hj0x+1Tz+kkyQk+/hp8Q3QYfBXvofG+NHjsoTjHivLMn999Sk7fv9Fqa9Kxdh77iNx/b2eY9YkTeOWOQdxuWXUbhev7Eyh+6GqRH2tltj/vU3AZZc15rcoXIDiaiVM66w1S/wUOxNo47vK81i0CDWN0+oP6NatG59++ukpj3vggQdOuDaYSqXipptu4qabbjrldfr27dug3CNBIGs9qVX5QXH5vp7N1aPFjJdeyqaVNZ+4ugyJ83oVFh0zWuxEtDExREybRu7z1V1kzza4iwwgIMxXCYb+txVzmZ2CrAoWz9xO58GxrJ3/D1aTA0nli9ZvLEHhhyjKWobTZiXYWcbEoz+yMbgPr/zsRgJu91YwdCzfIGh/GQdNQSzdsgubTWl58dFrGNNLR6LdDpVOevgtoqPvn2w2XctO8yhkTr40h1rfCUkTg9O8DLfzKCDjtK5H53OUpAE3ExwdhSFAh8FfVxX46PDx154yIbq2tSnfsHXpQuWBJHHF/Y/SLm8OVCqtfemBg7hxYzwgo3E7eTt9HkkHlSBI0mqJnfEe/pdeeoKrC0KN8MQ2aPR6nDYbARVOqJoyK8/VDo2xphtXBEJNQwwxEM4rlYfWsKcq56xdUaBne3V+kNR7MIc+VfJY/AJ1tO4e5tXy88utrDugJMgmhBjoHh900uODJk+iYvkvVK5bjzM3l/w33yT65ZcbXF5QpIHxDynBkNXkIPdgObkHa2aG1hs0DJ7cnqR+wyjNu4KlM6aTe2A/atwMLNlIguUw//vJjEqCWy/2fjAkyzKbFv7Amu+/UrrOgLD4Vox/7BmCoqKVbcUHIWsDvlnrueTwKrrk/sIW00RKXdEYVGX4+uvx7TYcQ2gQhgAlsPH112II0KHTX8mmRfNY/8N3yG435tJMdv/5FsOn3EuHfkNPeyTgxh/nsvHHFM/jy+96gE7hVvj1ewAqJSM35/0LkNC6nHx08Aei9yndYZJOR9wHMxuUAC8IoHS5xrTvSNbO7RhsKqyGPHyIpMSdgEojI6ndyC6VCISaiAiEhPNKWvY63D4SOoeKgGLl07+fzYHB7kQbH8/+w7rq92OSB8c2qoWgIRbvyKFqWh7Gd4855RuxMoqsqovMbKZ03g/4jxyFcdDFDS4zJMaP8Q9356f/pXlmSQZo2zOcS67r4JnDJzgqhutems76H75j409zQZaJsx7lX9kpfPN9HpI0jlsGJjb6OZ+Iw2rll/97l30b1ni2te87kFH3TUVXNT8QkgShbZWvHjcoz6eyiMv2LIJfngBn1Rwq2Z/C4DkQXb8bfMA1/6JV1x4snfkWZXm52C0Wls18m4y0VIZPuQcfv8Z1fW5dulAJ3KoMu+0uuvbvC7Nq8nyet99APsEYcPJF5nz8dymJ0ZJeT9ysDzBe3PD7JwigDKPP2rkdgEpVOj7uSKyOAOyyAY2vG4dJBEJNpelm9xKE5mYtI9WqDImOKfRBqgpIIsqUIc6+Qy9VVphHWVes8yDvJ9gv2l5rtNhFDbu+NjaWiGnTPI9znn0W1wkmHD2RsDh/rnywO/6hPgSE+TDqri6MurOrJwiqptZoGHTdTVz73Gv4hykj6nzcdq7IX8Gqz97ni5XpjSr3RMryc/nu2cfqBEEXT76RK6c+URMEnYhfKPS+DW5bCv7RVRc8DJ+PhN0Lj3tKTFJHbnp9Bp2HDPdsS1+7kq8ff5Aje3Y2uN47fl/On19+4nk8+Ppb6THqSvj1Wc+IuJWubvzguoQIncz3mfPx37EZAMnXl/iPPhJBkHBaak+s6HIe9vxc4oz3DKF3l5fjtlrrnSucGREICeePw5uOnx9U1S1W3HqwZ12x1t3D8QvS17/GGcgsqmTb4VIAOkUH0D6yYbk+AEHXTsYwQGlxcObkkP/Gm40uPzIxgJteHsBNrwykbY+TT9wXl9yFm998nw4Darpvkk17OfjxS3z+41+NLru2rJ3b+eapRyjIOgSAzteXq6Y9S/9rrkNSNeIlJ7YX3PmX8h3AYYa5N8Nfb3i62WrTGwyMuncqYx6aht6gLENQXpDP3BefYm3K17icznrn1LZn9Z/8+slMz+P+1/yLvuMnwoE/YKvSQmSSfXjScQedgrR8/U8K2jQlCFIZDCR88jF+/fs1/PkJQi0x7Tt6/j+0tpqE6SJnAhofkSfUlEQgJJw3zBmr2KXXgQwJhcobodrtJrjSgsrfn31HfDzHdh3q/Qk4G5okfTxKF9krqAxKlmTpvHmY1qxtdB0kVcNzYnz8jIx5aBqj7p2KrFWCwkBnOUXfv82H733Y6KUsZFlmy5KF/PDqs1grlDyl4OhYrn/1f7TtdZoBgn8U3LoUul1bs+2v/ypLe9grj3tKx4GXcPP094nr1KWqXm42LEjh++enUZJ79Ljn7N+0jmWz3vEEWL3GTmDgpOtxWcopTbnHc9xrzuvp1KoVM7d/hXur0h2m8vMj/tNPMfTufXrPURBQ1hqMbN0WAF+rA9mtrJZQ6GwlJlVsYiIQEs4bO46swSlJhJbp0FWNTgqrsKCWwXXxaE8ScVOsKybLMj9tq5n47MoGdovVpouLJWJazaruOc81voussSRJovOQ4Ux5ayZyeCsAVMhUrlvMzMceoSy/YYsOO+w2fpn1Dn999QmyW/n02rpHb65/9W1CY+PPrJJaH5jwUdVaZ1WB3u6f4PNRUHr4uKcEhEUw6blXGXTdzaiqlvHJ/WcfX097kJ1//opcq0UpIy2Vxe++6an3RZeNZsiNt2O2u1g5636C7Ep36zpXMr5dr+WZlR9hT1NGh6n8/UmY/TmGnidfWkgQGqJ295gyGhJy5fZofGu1CIm5hLxOBELC+cFpI9V0CIC4gtrD5pVWg8MRAz3bulzi3XXFAHbnlHOgQCmrb2IIsUGnyIM5gaDJkzFUTb7nPJpD/pvTvVbHkwmOimbqu+/huugy3FXBhiP7AJ89eh971q486bkVRYWkPP8Eu1f94dnWb8Jkrpr2bKMTlU9IkmDQw/Cv70FX1eWYuwM+uVSZuPE4VCo1/SZM5rqX3lRGqAEOm5XlH77H4nffwGoykbVzB4ve/i/uqgVjOw8ZzvDb7+ZomZUX3/+YYRVKTpJZ1lPQ9wVuWPAO1m3blOsHBpIweza+Yh4zwUtqrztmdyvzaJU4Y9H4iBahpiQCIeH8cDSN1KoFJ+sEQhVmHDojh3KUpGGtXk0HL68rBsckSTeyW6w2SaUi+pVXkKq7yObOpXLdujOuX0OoNRr+8+SDuK64hzKNEmzIditLZ0xn6cy3sZnrd0Vlp+/mmycfJu+gMmGjRq9n7MNPKC0xqpPPBXRaOoyCO36F4ETlcWUBfDkW0r494SnR7Tpw0xsz6HJpzcSG+zas4ctp9/PTmy/hdCiTbib1H8Tldz1I2pEyJr//B/eWv+s5/mjyg3T74hOsVWsbqoOCaPXFbHy7dEYQvKVOwrRLae10Ofxw+da8pjnzxQr03iYCIeG8YMtYxd96PXqbirBSJejxt9jwdbgo6n2NZ22pDv2j0Pl6d9YIt1vm56r8II1KYnTX6DO6ni4ulsj/POZ5fPSZZ5q8i6yaJEk8fssV+Ez6D+l+SZ7te1b/yVfTHiQ7vWZ9sO2/LmPuS09hLisFICA8kn+9NJ0OAxo2O/Zpi+gE//4TEqsSvV12WHgvLH8aTpDXpPPxZeTdD3Hl1Cc8rVSmokIcNmUETpuefRj9wKP8/Hcu1328gVtt35CoUroFTYE9Uc1JxbprFwDqkBASvvwSn6q1FgXBWwwBgYTEKJO8qu2lyLIyuKNCV5PTKFqEvE8EQsJ5YcfhldhVErGFvkhVXTvhFWZk4HBATf5GFy+vKwaQmlnC0TLlDXVw+zBC/HSnOOPUgq69FkM/JcHYeTSH/OlvnfE1G0qSJJ4c34PEa+5gefhwbJLyfMoL8kh54QnWzv2WXz+ZyW+ffuDpUkrochE3vvYOEYltmqeShhC46Ufo8++abetnwpzJyrIeJ5DUfxA3T59JfOea7qyErt0Z89ATvPdnBg99v40urnSmqJcB4HD4kP+bHtvevQCow8Jo9dWX+HRIOu71BeFMVXePSci4nUp+Wrmm5nXLLlqEvE5MqCic+9xutpTsgwAfYmt1i0WUmykJ7kCFVVmJPqa999cVA1hYK0l6fHfvBFqSSkX0q69wcNx4ZLOZ0pQUAkZejt/Agac+2RvlSxJPje6EW4bv/ozi8oLfibHlKiOw5n9X59heY8ZzyQ23e5KSm41aC2PeUlqIlk0DtxP++Q0+HaHkEoW1O+5p/qFhTHrmFfasXYmlvIz2l1zO1Pm7WPJ3DnrsvKn9GJUk47SoyNrcFvvRTAA0EREkfPEF+jZNtByJIKB0j/39xwoAZGc2aOPJkdrSSrUd2S1hzmnYAAah4USLkHDuy99NqhYkGWILlCHyGpeLoEorOe2v8BzWdaj31xWzO90s+VuZaM9Hq+Ky5EivXVsXF0fEY496Huc88ywu0/GHjDcFSZJ4ZkwnJg29iAXR49kQ1MeTSA2g1moZde9Uht787+YPgmrrMwVu+gl8Q5THRfvh02HK/D8nIKlUJA++lLjBo7jxy62ee/igZgHtVEdxWFRkrorFflSZz0UTFUWrr78SQZDQ5OqOHFM+ZGXL7TwJ064C0SLkbaJFSDjnOTLXsF2vI6xUh49DeUMOq7Bg1weRZ1BaBQxNsK4YwJp/Cig1K/34lyVH4af37r9U8HXXUfHLcsybNuE4epT8t6YT/cILXi3jZCRJ4tmxnZCRmb1WRZZvHJcUryU2QEfypCmUx7Vh/YGiZqvPiSWjH7mAjn/diaF0H1jLkL+ZyKFeT5Pb8RZl1Nkxyq0Onl+4i9xypVuzjy6Te9RLcJhUZP4ZhsOkvPFoY2JI+OpLdHHeD6QF4ViBEZEYg0MwlRTjch1Flt1Y7JHKMhtm0JgqkO12JN2Zd8ELChEICee8XYd+x6pS0amg7mrz2TFDqJ53pvOgGK+vKwZ1J1Fs6JIajSGpVET/99WaLrLvUwgYORK/AQO8XtYJ6yBJPDc2GVmGL9bBvJhrlB3L8oGz69OpH4/zrnYWl6m3IMkuWqe+xMYNq3jWeTuOk7zctQrU8I3flzizIOvPMByVyrHa+HhafTEbbaz3c8sE4XgkSSK2Y2f2rl+NJDuQXQVIUiQuowGKlJw8Z2Eh2hjvv95cqETXmHBuk2VSi5TRPLG1ltUINdnIiVFGFUkqic6Dvf9GZrY7WbFb6a8P9NUyJCnc62VAVRfZo494Huc8/UyzdpGB8uL8/JXJ3DKgFYG2CkIsZc1afkNV4sudjql84Bzn2Xad5i++1b1KKMevc69WwSzttRkpaz+Zf4TWBEGtEmj19VciCBKaXe35hKq7xyqNNYGPQyRMe5VoERLObaVZpEp2fG1+hJUry0QEmG2UB3fFrlUSo9t0D/P6umIAv+3Jx2xXuk9Gd41Cp2m6zxXB//oXFctX1HSRvf0W0c8/32TlHY8lLY07ln/KdX/8CUBR645k9b+Mo90H4tL7nOLs5mXiaRYV9uaKA6+ilW30Ve3lj4AXmd9hOgW1pgVoFWJgQkwp0rszyPw9DKdF6VrVtW5NwhdfoI08+ZptgtAU6ucJ9aTMEEMYWQAUZ+Vg6N69ZSp3HhKBkHBOc2auJc1HT+zRWqPFKirJjrnE87jrkKbJ7VhUa7TYuIuattWgzigyi4XS775XusiqZqFuKrLLRcUff1D82edYqmZUrhaakU5oRjq9fp5NwNgxBE2cdJZNMNgRsgfB9zdARQ6B9lxuT78brv4IOl2pHOJyYnvzOjJ/C8JprQqC2rWl1ezZaMKbpoVPEE4lLKEVOl8DdosZtzMbWZbJ8W1NGBsAyD6QichY8x7RNSac09IzfsWsUtXpFjM6/CgLUpKkg6P9iEkK8nq5pWY7K/cpE5tFBfjQt3WI18s4li4+nohHa40ie/oZ3JVN00Xmtlop+T6Fg6PHkP3Ag3WCIE1EBPr2NUPT3SYTpd+ncGjiRA5efTXFc+bgKi9vkno1WmwvZfJFzwr2lZByI6x8E2QZ2w8vkJlS6AmC9O3b0+rLL0UQJLQolUpNbIeqCTtlM7K7lBJdzZp95oN7W6hm5ycRCAnntNT8bUhuiC1UAiGt00VZaM3Mxl2HeH9dMYBlO3NxuJSFO6+8KBp1I1Z9PxPB1/8LQ58+ADiys8l/+22vXt9ZUkLBrFn8M2w4uS+8gD0z07NP37490a+9RrvffqX1okUkfv8dgROv8SwHAmDbvYe8l15m/yVDOPr4E5hTU+sscNoiAqLh1iXQdXLNtj9fxfrOeDL/Ow9XdRDUthUJX32JJjS0hSoqCDWO7R6zuyOo/k9S5WS0TKXOU6JrTDh3VRaxxVVORGkwOqcS04eabOQl9AWabl0xqDuJYlN3i9Xm6SIbfxWyxULJnO/wv3wkfv37ndF17UeOUDz7C0oXLEC2WOrsM/TrR+iU2/EbPLhOUOnbvTu+3bsT+cSTlC9dQukP8z1rcclWK2ULF1K2cCG61q0JmjiRwKvGt1iQIWt8cPR9DstBLeaVi7EU6rCV7qP6s6BPfBAJ336POiioReonCMeqnTAtO7NRubtg1wWit5ehLxHJ0t4kAiHhnOXKWscWHx+SDtd0i2nUcbjVSmJ0h37eX1cMIKfMwsaMYgDahPnRJTbA62WcjC4hgYhHHiHv1VeV+jz9NG0WLUTl59foa1l27qL4888o/2U5uN01O1QqAkaNJOS22/Ht2uWk11Ab/QiePJngyZOx7t1L6bwfKFu0CHdV95g9I4P86dPJf+cd/IcNI2jSJPwGDkBqwkkYZbsd6549mLemYUlLw5y2FVdBYdXeur8nn0iJhO8XiiBIOKtEtU1CrdHgcjo9I8dMxmj0xWX4VpqwOV3oNS04kel5RARCwjlr/4HlVKhVNctqyDKm0KGe/U2xrhjA4u05VPf2jOse0yRdb6cSfMP1VCxfjjk1taqL7H9EPfdsg86VZZnK1asp+uxzzBs31tkn+foSdPXVhNx6C7r4+BNc4cR8OnQg6pmniXjsUSp+/ZXSeT9g3rRJ2el0UrFiBRUrVqCJiSbo6msIuuZqtNFntkgtKF16lrRtWNK2Yk5Lw/r3TmSb7cQnqFToQyWM0XZCX/4MdagYHSacXTQ6HZFtkzi6dzeyuxTZXYkpKJrQ4nR0VjsH8itJjmneD2HnKxEICees1LwtGBxqQiqUGVaNdglrSCJQta5YrPfXFQNYuL12t1jLTGpWZ6JFq5WSOXPwHzkSv359T3iObLdTtmQpxZ9/jm3//jr71CEhBN94A8H/+hea4OAzrp/Kx4fAK68k8MorsR86ROn8+ZT++BOuQqVVxnk0h8KZMyn84AP8Bg8iaNIk/IcORdJqT3ltWZaxZ2Rg2aoEPZatadgzTp4zoTIala68Ht0x9OyJT9duqP2qcptaIJAVhIaI65jM0b27ASVPqCyg6sOdFf7JPEJyTPJJzhYaSgRCwrnJXkmqvYC4wprRPSpNzTpQTdUadKDAxM5spcunW1wgbcKbJthqCE8X2X//C1R1kS38qV4XmauigtK5cyn+6muceXUXbNS1akXIbbcReNV4VD5NMxeQLjGRiEcfJfzBBzGtXEnJvHlUrl6jdMXJMpWrVlO5ajXq0FCCJlxF0MSJ6BITPee7LRasO3d6urksaWm4yk4+oaM2Pt4T9Pj26Im+Xdsm7YoThKYQ27EzLPwBUAKhCkObqj0SFTvXwgARCHmDCIRagLXSxO5Vf6L10RPXsTNBUS3TvXIukw9vZoteR49ay2pYA/ujAgwBOtr0aJrhz029pEZjBd94A+UrlmNJ3YLjyBHy//cOUc8+A4AjN5fir76mdO5c3CZTnfN8u3cnZMrt+A8b1mwBgqTV4j9iBP4jRuDIyaF0wQJK58/HeVRZ8NRVVETRp59R9OlnGPr0Qd+xI5bt27Hu3g1O54kvrNXim5yMb48e+PbsgW/37mgjRFeXcO6L6dBJabGUZdzObGy+A5BRFg7SZG5v6eqdN0Qg1ALWz5vD1mWLPI8NgUHEdkwmrmNnYjt2JjyxNSqV+PR6MgcOLKccNTGFSiuG2q1G0igjxJIHN826YrIss2i7EghJEozt1vKBkKRSEfPqq8ooMquVkm+/xadTR8ypWyhbvLheAGEcPpzQKbdj6NmzhWqs0EZHE37ffYTdfTeV6zdQOm8eFX/8AQ5lAVvz5s2YN28+7rnq4GAl6Knu5urcuclaswShJfn4GQmPb0VB1iFkVwEyKqz6EHxtxQTkH2jp6p03RCDUAoKi676BmstK2b9xHfs3rgNA5+tLdPuOSmDUqTNR7ZLQ6ry/RMS5LDVnPZElPmhdSsCj0rVBkiQkCToPappusb+zy8goVCYw7N86lKjAs+PNV9eqFRGPTCXvv68BkPNM3aRpSasl8KrxhNx2G/o2bY53iRYjqdUYB12McdDFOIuKKFu4iNJ58+rk/OjatsXQswe+3ZUWH11iomhBFS4YMR07U5B1CJBxO49S6ReNr62YyMpcCipshPuL94YzJQKhFtBj5Fii2yaR+fc2stN3kb13D3aL2bPfbrGQuSONzB1pAKjUGiLbtvO0GMV2SMbH2HK5KS3O5STVfJTYglpzBOmV9aNadwvFGNw0LwwLa3WLje/e8q1BtQXfeCPly1dg2bLFs00VGEjwddcRcuMN58RMyZrQUEJvv42Q227FunMnrrJyfLt0FsPahQtaXMdktq9YAih5QpV+0YQV7yLCWkJ6Thnh/qIb+EyJQKiFRLVLIqqd8ubtdrsozMokO30XR9J3k52+i8qSYs+xbpeTnH3p5OxLZ/Oi+QCExbdSgqJOnYnr2Bn/0LAWeR4tQc7ZTqpOw+Bay2qoNK0A6DosoUnKdLllfq7qFtOqJa7ocuZDvr1JUqmIeeN1jjzwILLDTvDkyQRdc81pzS3U0iRJwrdr15auhiCcFWrPMC07s6n0U17j1FY3hw/thyQRCJ0pEQidBVQqNRGJbYhIbEOPUVciyzJl+XlKYLRnF9l7d1Ny9EidcwoPZ1J4OJPtvy4FICA8sk6eUUhs3HnbfZB5YDk2u56gSmWotaSJRVL5EODnIrYJ1hUD2JhRRH6FMi/N0A4RBBpOPcy7ueni4mjz44KWroYgCF7kHxqGf1g4FYUFuJ05mAzKFBlOq4rKwzuAi1u2gucBEQi1hMoi2Ph/EJEMyVeBqm5iryRJBEVGERQZRechwwEljyg7fTdH0neRnb6L/IyDyHLNTMDlBXmUF+SxZ/WfAPj4BxDbIZlOg4aQ1H/QeRUUpR5ZTVx+TX6OumrYfNdLE5rseZ5to8UEQbhwxHfqwu7VfwIuKvQqZCScFjWWIztIyyqhR8KZz/11IROBUAuwfPkf8ub8hU+wg/AR76Ge8CYknHytKENgEO37DaR9v4EA2C1mju7fq+QY7dlFzj/7cNprZtK1VpRzIHUDB1I3kNBlGcOn3EtITFyTPq9mIcukVhwitqCma0qlbY1adpA8vG2TFGlzulj6tzLE26BTM6JTZJOUIwiCcDyxHTtXBULgkvOw+ISiteSR6Mzg2o838Naki8QHtDMgAqEWULLdjKVQj6VQT3lWDpFbxxMwdjTSZS9CUMOWNdD5Gkjs1oPEbj0AcDkd5B08UJVntIuj6buxVipzx2Tt3MFX/7mfPuMn0e+qSWh0uiZ7bk1NLvyHrSqJ4UVVLUKSH5I6jMTw8iZZVwxg5d4Cyq3KMPSRnaPw1YmpDQRBaD51V6I/SqVfDIbiAi6XNnOjewkPfefkn3wTDw9vj0p1/rT+NxfvT7YinFLQ3Y+j8lXeyF02NUc3BpP1/l/YXu0Lf7wCNtPJL3Acao2WmKSO9Bl3DROmPce9n87hqmnPERCutF64nE42zP+OL/9zH4e2b/Xm02lWRw4sQ1Xuh8at/Omqta2RJImLxiQ1WZkLt9fqFjvLRosJgnD+C4mNQ+2jLAnjdmZj8osCWUJjd/Oc9mtma6cz5/dUHvg+DYvd1cK1PfeIQKgFGHr0oM0vv+A/8nLPNnO+nowlgRR88CHud3rBtjl1VwNvJEmlom2vvtz69gf0vWoSqqrZg0tzc5j/3+dY/N6bmGqNTDtXbMlaSWzt0WLa1gRbsojq3zRTzZtsTn7brSxLEeKnY1C7C2d0niAIZwdJkohu21F5IFspNQYC4LQob+FD1dtZpn+cyp1Lue7j9eSXW1uqquckEQi1EG1kJHHvvUf8Rx+ijVHyXWS3ROEufzLmu6n88CH4dBhkrj+zcvQ+DP7XLdz0xow6zat7161i9tS7SVu+GLf73PkEkVqynzjPshoqVNoE2sfZmixJ+tfdudicSkA6umsU2iaYsVoQBOFUWl90kefncr3yeucc+AL4KcPnw6VyvtBNZ3zu+0x8/092Zp98PT6hhnhVb2HGIUNos2QJof/+N1S12tgrNGT9FUb2/Ayc/zca5t0KpVlnVE5YfCuufeF1Rt7zMD7+AUo5FjN/fP4hc55+jLyD/5zpU2l6FbnstkKAWRm6rtLEordb6TC6W5MVWXcSxaaZsVoQBOFU4pO7eH62qk24JRVOTSzcsw7aj/Tsu13zCx/ZpvHkh3P5ZWdOS1T1nCMCoRaws3AnNy29iefWPsehskOofH2JePQRWv+4AN9aa0CVZxo4sCSCkoXLkWf0ht9fPq38oWqSJNFl6Ahuf+dDulxa0y2Xd3A/3z71CH988RE2s/kkV2hZuf/8grakZkZtlbY1sUWp+Pft3STlFZlsrN5fCEBskC+9xBBVQRBaSETrtqBSBoS4XDlYfMNxFuSDMRyuT4HRbyGrlVn1O6mymKd6kjXfvcEHf+xHluWWrPpZTwRCLSBlbwrb8rfx4/4fGb9wPE+ufpKMsgx8kpJo9c3XRL38EqoApdXG7VCRmxpE5nJ/rD+/C+/3hLRvzyh/yNc/gJF3P8i1L75BaJwyS6ksu0lb9jOzH7mbvevXnJX/OKkZvxKXb/A8VmsSSGojI2mbZnLDpX/n4HIrv4crL4oRozEEQWgxao0GQ2jVFCjuckr8I3HmFyiPJQn6/hvpzj9xh3cCwEdy8Ip2Nkl/3sVzc1Zic547KRDNTQRCLWCobRx3bniHG7e+SN+Msaz/O42rfrqKJ1Y/waGKTIInTaLtsqUEjh/nOcdSpCNjeTh5ayy4598HnwyFzHVnVI+4jp256Y0ZDL7+VjRVi7pWlhSz+N3XWfD6C5Tm5Z7R9b0ttWAvUcVVw+ZVAYSXHCF8RNPNqno2ry0mCMKFJ7ZdTfdYob8/zoKCugdEdkZ155/Iff7t2XSZegv377uF12Z+SKHJhlCfCIRagCrHHxUqjPYguucMZ9KOaUzcNo2jq23cmHIbj696nCxNGTFvvEHCF1+gS0xUTpQlitONHFwaTkVqOsy+AubeAiWHTrsuao2GvuMncuvbs2jTs49n+6FtW/jy0XvZsCAFp8NxZk/YG6zlHCp2o6pqqFJrWxOXsxbj4EFNUtyREjOpmSUAJEUa6Rjl3yTlCIIgNFSbHrUSpn1UmHf+TfnSpbjKy2sO0voijXkL/pWCXad050dKpTxX8jTL372TvdlFzV3ts54IhFpA37GtaX1RWJ2ulhBLNP2yruT6rc+h/bkdT374Jk/8+jR5HcNpvWghYQ/cj1Q1EaLDrOHI6lCOrAnGkboIZvaF314AW8Vp1ykwIpKrpj3HuMeexli1gKvTYWdtytd8Pe0BDu/acUbP+UwVHPgV/7yaGZ19XYHEtg9EHRjYJOX9vL0myXDcRTHn1RIlgiCcm9r17gYor0UWTSWunFyyH3mUfQMGknnTzRR99hm2f/5RUhs6jEL3wAZMsYMBUEkyNzh/wvHxCNZv2tCCz+LsI8lnYzLIWeKSSy4hLy+PyMhIVq1a5fXrW0x2DmzJZ9+mPHIO1B/q6JKcHA5Kx6+Tk+tHXUmiWUvOiy9iXl/zR6zSuAnvWkFw+0ok/wgY/hx0vx5Upz/7sd1qYd28OWxduhC5Vi5S8iXDGHLj7RgCg0772qdr2aI72J5SjNZpB9R0Loyk780XE3LLLU1S3qh3V5GeqwSWq/5zKQmhhlOcIQiC0PTeufl23LZ8AIbvykLvrN9ir42LwzhkCMahQzD07k3l+g/xWfUKWpQZ8s2yntTkJxg86WEk1fnZHtKY928RCJ1EUwdCtZUXWti3KY/0TTmU5Vrq7berrNgTCrnk0h50zD1EwZtv4CqqaeL0CbYT1acM3xAHRHWDUa9B4pl1G+UfOshvn35Azv69NeX4GRl8w610vfTyZv0HevXdYfisV4IRtTqe4ds30GHZQnQJCV4va29uBSPfVe53j4QgfrxXrO4sCMLZ4eNHXqQiezMA7qQIbvJtR+XKVdgzM497vOTri1///ui7tcF5eDYxuiOefTsCL6XjHZ+j8w9plro3JxEIeUlzBkLVZFmm8LCJXRuOsHvjYeTK+utnOX2stOkaSNsD62HBZ9R02sgEt68kvGsFap0MncbBxQ8pgZHm9NYXk91u/v5jBavmzMZWWenZHp3UkcvuuI/wVq1P67qN4rTx9GO3E5KjtJqF2uMZ7DhM28WLm6S46cvT+eDPAwC8cGUyt17cDM9REAShAZbOWsCelZ8DcDjah4ND7dzW+TYuV3fFtnotFX/9hTl1C5wgt1MOMxAWkYcxxopviIMibTj6SZ/i33FoMz6LpicCIS9piUCoNrdb5uDuXH7/fTPmfRp0Lp96xxj83cRkbyRs9y8YrMqcNxofF5E9y/CPtyJJgFqnBEOxvWq+QtpAI1p0zGWlrPz6M88KyKAs49FrzFUMuOY6dL5N13VUvP83Pn1pDmq70hzcJ9NKx0lXEPHoo14vS5ZlLpn+J4eLLagk2PjUCML99V4vRxAE4XTsXvsPy2Y8DIBbktgbX056Yjn6iBBuTr6ZiUkT8bHJVK5bh+mvlZhWrcJVWHjca6n1LvyibPjF2nGOuoWwa14GddNMR9LcRCDkJS0dCNVWbjYx79el/LO5gOii9qjl+i1FAaZMInM2Epm/BZ3DhF+0lfCuFfgEOZCOjXl8AiGmZ93gyD+y3jWPlbVzB799NouSozXNq7IkoQ2JIjShNa07JBHXrh0Rrdvia/TOSKsfP3+eg8vTADdq/Bi5fQet5szB0LOHV65f29asEq6epUxLMLh9GF9P6ef1MgRBEE5Xab6Zzx9+ANmVV2d7dpiFPa0qKI/Tcl2n67ih0w2E+IQgu91Yd+3GtHIlpr/+wrpz5/EvLMnoonUEXXUjxtFXo2vb9pweJCICIS85mwKhahanhZTt81i5Ko2YnI7ElLevd4wkuwguTicqfzNG0xE0KieGABOGYAvGsEr8QsxotQ7q/Y0HxEFsVXAU1xuiu4O+ZiZnm9PFmv2FLEk7TN7aX+hWtBmNfOJJumS/IHyjE4hu3Zak5A4ktE/CPyy80f9c7zz0DO7cbQBEVOroV5xH+9WrkNSnnxB+Ii8s2sUX6w4BMH1iNyb1jvd6GYIgCKfL7Zb56P7F2EwbcNl2A3W7wMoNDtITKjic6GRMp/Hc0vkW4vzjPPudBQWYVq3GtHIlFWvWgrmS49HGxmIcMoSAMaPx7dnznAuKRCDkJWdjIFTN4rQwb+88vkv9gbDs1rQr7E2YuRFrYcluVDjR4ECtsqORHKglO2rJoXzhQCM5UOn1OLQGimRfDln15Ll8cUgSTkDjKiWiMg2jPRdfZzEqTj3btVvtg8oYhU9wHCER8UTFtCYgJBrVCUa5yS43K7/9P9z2XQD0OphH0ojLiHntvw1/rg3kdLnp/9rvFJrs6DQqUp8ZQYDP+dFMLAjC+WPN3P1s/+MwstuKy74Ll20bsrvuyGOnSuafOBP7Eivp33U4t3e5nQ4hHeocI9vtFG/YxNoPPyFp/0bkiuMHO7o2bQiaOJHAq8ajCTk3EqtFIOQlZ3MgVM3itPDDvh/4fOfnuIq0tC/oRfvCXvjbm/ePVZZdyK4i3K58ZFeB8t1ZANgbcLYaSR2GSh2BpA5HpVG+S5IWWZaxlX0MciWSLHH53wdImPEeAZdd5vXnsGpfATd/vgmAK7pE8X839vJ6GYIgCN5QeMTEgbR8DmwtoPioCbczA5c1Dbez/uix/GAXf7cpIrF7L27vNoVekb3qtPC43DLvLtlC0u9PcXHeTkxHfags0IH7mMBIq8V/+HCCJk3Eb8CAs3rovQiEvORcCISqWZ1WT0BUYC4kqqI1iSVd0DsNqN0aDDYNARYNRqsGX7sWnVODrNLgVmlxV3+XNMrP6tMbYXYsWZaR3WXIrnxPYOR25YN8/KbYY0mqYCR1MG7HQQBCK+z0O5xLhw3rUfn5eaWOtT06dzvztyq5Tx/e2JNRXaK9XoYgCIK3FedUcjAtnwNpBeQfysJlSztut5ldq2V/vAVnnxBu7X0HQ+OHoqqVQDo39TAbfvqQF9Sf4ee0YjriQ+lBA+aC+gNGtLGxBF5zNUFXX402Kqqpn2KjiUDIS86lQKia1Wll/v75fPb3ZxRYCk54nK9Npt1RmQ5HIClbJilbxlDVeCMDsqSuFSQpgVJOsIbMSB1ZERqOhOso9dOglrVINK7vWOtwY6x0YTS78Kv67mt1n/IqnY8UkK+J4fOxD9I+0p+kSCNJkf60j/CnTbgfPtrTzxmyOlz0fuU3TDYn/noNm58ZcUbXEwRBaAllBWYObC1g/+Yscv/ZWNVtVlrnGBk1pcGB5HZRMWbkVYxtMwZt1WixTRnFvPjVEl50zaC3ah8AtnI1ZQcNlGYYcNmOeV1UqTAOHkzQ5EkYL7mkyRbBbiwRCHnJuRgIVbO5bKzJXoPJbqqz3eWWOVBgYvuRUv4+UkalXUl2VrndJJSW0Sm/kM6FhXQtKiKk9ORLdrgMGiyxWqyhKqx+EhajCrNRwmRUUWGUMOvAjowN2fNd+dldb5vTAYYKDf7lWoIrdISU6Qg26VBXNc1qXC4uST/Mp53Hs6T1wHp1UUnQKtSP9hFVwVFVkNQm3A+95tQBzbK/c7jn260ATOwVx1uTLjrFGYIgCGe38iILB7bmsWvlBgoy1uB2Hqp3jFsXRXF0IO0v68W1l4zHT+9HVpGZKV9sJLxoEyNVm7lcvYVoqRjZBRVHlVaiyhw9HPPxVR0WRtCECQRNvAZdq1bN8yRPQARCXnIuB0K1OV1uNmUUs/jvHH7ZmUtxZf28HYNOzfBOkYzpGs3QDuH4aNU48vOxpG3DkpaGOW0r1t17TjhJ1/GoDAY04eFoIiKU7+HhaCLCa36u+lIFBNTpr3a6ndhddiotJtL37sf08quEZR7BaHPw6i1vsMWsw+I48Wi12tQqiVahBpIilBakdlUtSW3CjOg0NU3Cd3+9hV925QLw9ZS+DG4f3uDnKQiCcLarLLXx9187+fuPZZTnbaVe/qbKH7ehAz5d2nLZ5UOIbxvDoh1HWfp3DusPFNBZPsBIdSojVZtpq8rBUammNMOX0oMGnOb607kY+vUlaOIk/C+/DJW++ediE4GQl5zLgVCZ2cHf2WUs25nD8l25FJrqBz++WjXDOkUwtms0QztE4Ks7ecuJ22rFunMn5q1pWNKUL1dp6RnXVdLr0YSF1Q+awsNR+RnIfngqAD7JybReMB+3W+ZIiYV9eRXszzexP6+CffkV/JNvwuo49cg1UAKkxFBDVdeakQ9XHcTudBNm1LPhyWFo1GdvEqAgCMKZKM0vY928n9m3aQUua/Exe9WodZ2QArvQrk8n2rSPRjaq2VhUzC//ZJOalU+clM0g9Tb6qneSIB3FlaNDs98HXZYWSa7bSuQwaMkd3JFDQ5MoivHD5rJhd9k931WSims7XsvAmPot/WeiyQOhHTt28P7777Nt2zYcDgft2rXjlltu4corr2zwNdxuN3PmzCElJYXMzEwMBgP9+vVj6tSpJCYmNlm5jXEuBEJlFocSCOSZ2J9fwf48E/vyKsivsB33eB+tiuEdIxnTTWn5MejqR/INJcsyjsxMHDk5OAsKlK/8gpqfq77clQ1Ljj6VsPvuI/yB+0+43+WWOVJiZl/V76D693KgwITN2bAA6daBibwwrrNX6isIgnA2k91u9m9OZdW8FMoO7623X9LEolKHgaRDQodTLWPWWTHrzVT4VFDuU06ZoYQSQzFWnR2DzcXA3W6G73ATc2x8BeyLgT8uUrGuk4RVXxMwJfgnsOTqJV59bo15/270u+DGjRuZMmUKWq2WMWPG4O/vz4oVK3jsscfIzs7m7rvvbtB1nn/+eebOnUu7du248cYbKSoqYunSpaxdu5bvv/+edu3aNUm556pyq4P9eaY6Qc++vAryyo8f8NSm16gY1jGCMd2iGdYx4oyCn9okSUKXmIjuBIFrNbfZXDc4ys+vFyw58wtwlZWd+CKShP/lJx8yr3SD+dEq1I/LkmtmyXa5ZbKKzeyvakHaVytAstcKkFSSkh8kCIJwIZBUKpL69SWpX19Kco+y+qfv2b96FTiVVeplZzYuZ3adcwyVYADCPFs0QESdY7a0kkhNBK3LhZ/VidblQu2S0bjdDNjpZsBOmdwQmYNRMrmhMoNGDGviZ3pyjWoRcjqdXHHFFeTm5pKSkkJycjIAJpOJ6667joyMDJYsWXLCFp1qGzZs4JZbbqF3797Mnj0bnU4Zrr1+/Xpuu+02evfuzTfffOP1churJVqEKqyOmu6eqpaNf/JN5JRZG3yNED+dJ2m4T+sQhneMwE/vneCnKbntdlxVgZGjVpDkKi7B0LcPgWPGeLU8p8tNVrHSgnSoqJLk6AAuSRK5QYIgXLjsVgupvy9mw+L5yMWmU5/gBZHhYdw48wuvXrPJWoQ2bNhAVlYWV199tScYATAajdx7771MnTqVBQsW8Mgjj5z0OvPmzQPg4Ycf9gRBAAMGDGDQoEGsXr2ajIwMWrdu7dVyzyaVNqendcLTypNXwdFGBDxBBi1JETUjpKq/hxnPzUVCVTodqthYtLGx+DZDeRq1ijbhRtqEG099sCAIwgVA5+PLwDGTGDB6IqV5OdhMJuxWKw6bBbvFgtVkpqKogoriCipLTZjLK7FVmrGZLbgcVmTZAbIdcNT6+eSDWyxHS5rluZ1IowKhTZuUWXcHDRpUb9/FF19c55iT2bhxIwaDgZ49e9bbVx0Ibd682RMIeaPc2bNnM3v27FPWrbaCghPPw3MmVuzK5eGUbZjtDRv5FOirJSnSqMyd4xke7k+YUXfOrf8iCIIgnP0kSSI4KqZR59jMDkrzLZTmmSnNN1OWZ6Ygp5KSXBM4bNQOjpTvDkBGUrXsh9FGBUKHDh0CoNVx5gcIDAwkODiYzMz603vXZjabKSgoICkpCfVxFs2s7t6qLstb5ZpMJvLy8k56THP5Iz3/uEFQgI/G07LTPsKfpKqh3uH+ehHwCIIgCGc1vUFLZKKWyMSAOttlWcZcbufAwRLWb8vjwMFS7CV2gt0SBhl2Bau4o4XqDI0MhEwmpb/Q39//uPuNRiO5ubknvUZFRYXn2BNdo3ZZ3irXaDQSGRl50mOOVVBQgNvdsNFGjXHP0La4ZRmVJNWZITlCBDyCIAjCeUaSJPwC9XTrEUW3HspyHEdLLSz9O4fdOeXc1KNlB6mc/Rm0XnLbbbdx2223Neqc6mQrb2sV6sebE8XMxYIgCMKFKSbIlzsGt2npagDQqFnjqltrqlt1jmUymU7YalOten/tFp9jr1G7LG+VKwiCIAiCcKxGBULV+TvHy8cpKyujpKTkuHk8tRkMBsLDwzly5AguV/08mep8oNpD4b1RriAIgiAIwrEaFQj16dMHgDVr1tTbt3btWgD69u17yuv07dsXs9nM1q1b6+2rvnZ1Wd4sVxAEQRAEobZGBUIDBgwgPj6exYsXs2fPHs92k8nErFmz0Gg0TJgwwbO9uLiYAwcOUFxcd67tyZMnA/Duu+9it9esgbV+/XrWrFlDnz59PEPnT6dcQRAEQRCEhmhUsrRGo+GVV17hjjvu4Prrr2fs2LEYjUZWrFjBkSNHePjhh+sEMN9++y0zZ87k/vvv54EHHvBs79+/P5MmTWLevHlMmDCBIUOGeJbYMBqNvPDCC2dUriAIgiAIQkM0etRY//79mTNnDjNmzGDZsmWexU8feughxo0b1+DrvPTSS3To0IGUlBS+/vprDAYDl156KVOnTj1uUOOtcgVBEARBEKqd1urzF4pzYfV5QRAEQRDqasz7d6NyhARBEARBEM4nIhASBEEQBOGCJQIhQRAEQRAuWCIQEgRBEAThgiUCIUEQBEEQLlgiEBIEQRAE4YIlhs+fROfOnXE6nahUKsLDw1u6OoIgCIIgNEBBQQFutxuNRsOuXbtOemyjJ1S8kLjdbs/3vLy8Fq6NIAiCIAiNUf0+fjIiEDoJnU6H3W5HpVIRGhra0tURBEEQBKEBioqKcLvd6HS6Ux4rusYEQRAEQbhgiWRpQRAEQRAuWCIQEgRBEAThgiUCIUEQBEEQLlgiEBIEQRAE4YIlRo01sx07dvD++++zbds2HA4H7dq145ZbbuHKK69s6aqdl/Ly8li2bBmrVq3i4MGDFBYWEhgYSM+ePbnjjju46KKL6p1jMpl4//33WbFiBQUFBYSHh3P55ZfzwAMPYDQaW+BZnN8++eQT3nrrLQBSUlLo3r17vWPEPWl6v/76K3PmzGH37t1YLBbCwsLo3r07//nPf4iOjvYcJ+5F05JlmV9//ZWvv/6ajIwMKioqiIqKol+/fvz73/8mPj6+zvHifpw5MWqsGW3cuJEpU6ag1WoZM2YM/v7+rFixgiNHjjB16lTuvvvulq7ieeett97ik08+ISEhgT59+hAaGkpmZia//fYbsizz9ttvM3r0aM/xZrOZ66+/nj179nDxxReTnJxMeno6q1evplOnTsyZMweDwdCCz+j8cuDAAa666io0Gg1ms/m4gZC4J01LlmWef/55UlJSSEhIYNCgQfj5+ZGfn8/mzZuZPn06vXv3BsS9aA6vv/46s2fPJjw8nOHDh2M0GklPT2ft2rUYDAa+//57kpKSAHE/vEYWmoXD4ZBHjBghd+nSRd61a5dne0VFhTxmzBg5OTlZzsjIaLkKnqeWL18ub968ud72zZs3y507d5b79u0r22w2z/b33ntPTkpKkt988806x1dvf++995q8zhcKp9MpX3PNNfLEiRPlxx57TE5KSpLT0tLqHSfuSdP68ssv5aSkJPnFF1+UnU5nvf0Oh8Pzs7gXTSs/P1/u2LGjfOmll8oVFRV19s2ePVtOSkqSn3jiCc82cT+8Q+QINZMNGzaQlZXF2LFjSU5O9mw3Go3ce++9OJ1OFixY0II1PD9dfvnlnk+ztfXu3Zt+/fpRWlrK3r17AeWT8bx58zAYDNx33311jr/rrrsIDAzkhx9+QBaNqF7xySefkJ6ezn//+1/UavVxjxH3pGlZrVY++OAD4uPjeeqpp457HzQaJYNC3Iuml52djdvtpmfPnvW6tYYOHQpAcXExIO6HN4lAqJls2rQJgEGDBtXbd/HFF9c5Rmge1S/w1d8PHTpEfn4+PXv2rNecrNfr6d27N3l5eWRmZjZ7Xc83+/btY+bMmdxzzz20b9/+hMeJe9K01q5dS2lpKSNGjMDtdrNixQo+/vhjvvvuu3q/U3Evml6rVq3QarVs3boVk8lUZ9/KlSsB6N+/PyDuhzeJZOlmcujQIUD5Qz9WYGAgwcHB4g+2GR09epR169YRHh7u6W+v/v0nJiYe95zqe5eZmXnCY4RTczqdPPHEE7Rt25Y777zzpMeKe9K0du7cCYBarWbcuHFkZGR49qlUKm699VYef/xxQNyL5hAcHMzUqVN58803GT16NMOGDcPPz499+/axfv16rr32Wm688UZA3A9vEoFQM6mO7v39/Y+732g0kpub25xVumA5HA6mTZuG3W7nscce83QHVFRUAJxwpEX19urjhNPz4YcfsnfvXubOnYtWqz3pseKeNK2ioiIAZs+eTXJyMvPmzaNt27bs2bOHZ599ls8//5z4+Hiuv/56cS+ayZQpU4iIiOC5557ju+++82zv0aMH48aN8/zPiPvhPaJrTLiguN1unnrqKTZv3szkyZO56qqrWrpKF5T09HQ+/PBDbr/9djp37tzS1bngVeePaLVaPvjgA7p164afnx+9e/dmxowZqFQqZs+e3cK1vLDMmjWLJ598krvuuouVK1eSlpbGnDlzcLlc3HzzzaxYsaKlq3jeEYFQMzlVdG4ymU7YWiR4hyzLPPPMMyxatIhx48bx4osv1tlf/fs/tm++2qla9YRTe/zxx4mPj+eBBx5o0PHinjSt6telLl26EBkZWWdf+/btiY+PJysri/LycnEvmsH69et57733uOGGG7j77ruJiorCYDDQq1cvPvroI/R6Pa+99hog/je8SXSNNZPqPtrMzEy6dOlSZ19ZWRklJSX06NGjBWp2YXC73Tz99NMsWLCAsWPH8vrrr6NS1f0cUN2nXp3PdazqPvnj5XkJDZOeng5A165dj7v/2muvBeCDDz5gxIgR4p40sTZt2gAnfrOs3m61WsW9aAbVCdH9+vWrty8kJIQOHTqQlpZGcXGxuB9eJAKhZtKnTx8++ugj1qxZw5gxY+rsW7t2LQB9+/Ztiaqd92oHQaNHj+bNN9887jDhxMREIiIi2Lp1K2azuc5IDJvNRmpqKhEREeKF5QxMnDjxuNtTU1M5dOgQw4YNIyQkhNjYWEDck6ZW/YZ78ODBevscDgdZWVkYDAZCQkIIDw8X96KJORwOoGaI/LGqt+t0OvG/4UWia6yZDBgwgPj4eBYvXsyePXs8200mE7NmzUKj0TBhwoQWrOH5qXYQNGrUKKZPn37COWskSWLSpEmYzWY++OCDOvs++ugjysrKmDRpEpIkNUfVz0uvvvrqcb+qW0PvuusuXn31VTp16gSIe9LUqmeSzszMZN68eXX2ffzxx5SXlzNixAg0Go24F82gZ8+eAHzxxRf10ih+/PFHMjMz6dy5M0ajUdwPLxJLbDSjDRs2cMcdd6DVahk7dixGo9GzxMbDDz/MPffc09JVPO+8//77zJw5E4PBwM033+yZM6i2ESNGeN54j52yvnPnzqSnp7Nq1SoxZX0TeuKJJ/jxxx8btMSGuCfelZWVxXXXXUdRURFDhw6lTZs27N69mw0bNhAbG0tKSgrh4eGAuBdNzeVyceutt7Jp0yZCQkIYNmwYAQEB7N27l7Vr16LT6Zg9e/YJlzwR9+P0iECome3YsYMZM2bUW3R13LhxLV2181L1G+zJvPbaa1x99dWexxUVFcycOZPly5dTWFhIWFgYI0eO5P777xeJh03kZIEQiHvS1HJycpgxYwarV6+mtLSUsLAwhg0bxn333UdoaGidY8W9aFp2u50vv/ySZcuWcfDgQRwOB6GhofTp04e77rrLM+9ZNXE/zpwIhARBEARBuGCJHCFBEARBEC5YIhASBEEQBOGCJQIhQRAEQRAuWCIQEgRBEAThgiUCIUEQBEEQLlgiEBIEQRAE4YIlAiFBEARBEC5YIhASBEEQBOGCJQIhQRAEQRAuWCIQEgRBEAThgiUCIUEQBEEQLlgiEBIEQRAE4YL1/0KSltZaBlGXAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# line plot of trajectory jump distance - figure S4A\n", + "[pippin_counts,bins] = np.histogram(pippin_remote_distance,bins=np.arange(0,100,5),normed=1)\n", + "[tonks_counts,bins] = np.histogram(tonks_remote_distance,bins=np.arange(0,100,5),normed=1)\n", + "[ginny_counts,bins] = np.histogram(ginny_remote_distance,bins=np.arange(0,100,5),normed=1)\n", + "[ron_counts,bins] = np.histogram(ron_remote_distance,bins=np.arange(0,100,5),normed=1)\n", + "[molly_counts,bins] = np.histogram(molly_remote_distance,bins=np.arange(0,100,5),normed=1)\n", + "[arthur_counts,bins] = np.histogram(arthur_remote_distance,bins=np.arange(0,100,5),normed=1)\n", + "\n", + "# after normalization multiply by 5 to get back to sum = 1\n", + "plt.figure()\n", + "plt.plot(bins[:-1],pippin_counts*5,linewidth=2)\n", + "plt.plot(bins[:-1],tonks_counts*5,linewidth=2)\n", + "plt.plot(bins[:-1],ginny_counts*5,linewidth=2)\n", + "plt.plot(bins[:-1],ron_counts*5,linewidth=2)\n", + "plt.plot(bins[:-1],molly_counts*5,linewidth=2)\n", + "plt.plot(bins[:-1],arthur_counts*5,linewidth=2)" + ] + }, + { + "cell_type": "code", + "execution_count": 416, + "id": "c9c45fae", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "pippin 0.7747747747747749\n", + "ron 0.743124634289058\n", + "ginny 0.6092530657748048\n", + "tonks 0.6186152099886493\n", + "molly 0.6675517790759428\n", + "arthur 0.6513605442176871\n" + ] + } + ], + "source": [ + "# fraction jump at least 50cm\n", + "print('pippin',sum(pippin_counts[10:])*5)\n", + "print('ron',sum(ron_counts[10:])*5)\n", + "print('ginny',sum(ginny_counts[10:])*5)\n", + "print('tonks',sum(tonks_counts[10:])*5)\n", + "print('molly',sum(molly_counts[10:])*5)\n", + "print('arthur',sum(arthur_counts[10:])*5)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "44d30225", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 264, + "id": "45d65987", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# key for dictionary\n", + "#whole_arm_posterior = [ ron_box_posterior,\n", + "# ron_target_post ,\n", + "# ron_opposite_post, \n", + "# tonks_box_posterior, \n", + "# tonks_target_post,\n", + "# tonks_opposite_post, \n", + "# arthur_box_posterior, \n", + "# arthur_target_post ,\n", + "# arthur_opposite_post,\n", + "# molly_box_posterior ,\n", + "# molly_target_post ,\n", + "# molly_opposite_post, \n", + "# ginny_box_posterior ,\n", + "# ginny_target_post ,\n", + "# ginny_opposite_post, \n", + "# pippin_box_posterior, \n", + "# pippin_target_post ,\n", + "# pippin_opposite_post ]\n", + "# load file\n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/all_rats_whole_arm_posterior.pkl', 'rb')\n", + "all_rats_whole_arm_posterior = pickle.load(fileObj)\n", + "fileObj.close()\n", + "\n", + "pippin_combined_target_post = np.array([val for sublist in all_rats_whole_arm_posterior[16] for val in sublist])\n", + "pippin_combined_opposite_post = np.array([val for sublist in all_rats_whole_arm_posterior[17] for val in sublist])\n", + "pippin_combined_box_post = np.array([val for sublist in all_rats_whole_arm_posterior[15] for val in sublist])\n", + "\n", + "tonks_combined_target_post = np.array([val for sublist in all_rats_whole_arm_posterior[4] for val in sublist])\n", + "tonks_combined_opposite_post = np.array([val for sublist in all_rats_whole_arm_posterior[5] for val in sublist])\n", + "tonks_combined_box_post = np.array([val for sublist in all_rats_whole_arm_posterior[3] for val in sublist])\n", + "\n", + "ginny_combined_target_post = np.array([val for sublist in all_rats_whole_arm_posterior[13] for val in sublist])\n", + "ginny_combined_opposite_post = np.array([val for sublist in all_rats_whole_arm_posterior[14] for val in sublist])\n", + "ginny_combined_box_post = np.array([val for sublist in all_rats_whole_arm_posterior[12] for val in sublist])\n", + "\n", + "ron_combined_target_post = np.array([val for sublist in all_rats_whole_arm_posterior[1] for val in sublist])\n", + "ron_combined_opposite_post = np.array([val for sublist in all_rats_whole_arm_posterior[2] for val in sublist])\n", + "ron_combined_box_post = np.array([val for sublist in all_rats_whole_arm_posterior[0] for val in sublist])\n", + "\n", + "molly_combined_target_post = np.array([val for sublist in all_rats_whole_arm_posterior[10] for val in sublist])\n", + "molly_combined_opposite_post = np.array([val for sublist in all_rats_whole_arm_posterior[11] for val in sublist])\n", + "molly_combined_box_post = np.array([val for sublist in all_rats_whole_arm_posterior[9] for val in sublist])\n", + "\n", + "arthur_combined_target_post = np.array([val for sublist in all_rats_whole_arm_posterior[7] for val in sublist])\n", + "arthur_combined_opposite_post = np.array([val for sublist in all_rats_whole_arm_posterior[8] for val in sublist])\n", + "arthur_combined_box_post = np.array([val for sublist in all_rats_whole_arm_posterior[6] for val in sublist])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 265, + "id": "060fdb65", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib\n", + "\n", + "matplotlib.rcParams.update({'font.size': 16})\n", + "matplotlib.rc('xtick', labelsize=20) \n", + "matplotlib.rc('ytick', labelsize=20) \n", + "\n", + "fig, axs = plt.subplots(1, 3, layout='constrained',figsize=(12,3))\n", + "#plt.boxplot(position_list)\n", + "axs[0].hist(pippin_combined_target_post,bins=np.arange(0,1,0.05))\n", + "axs[0].set_title('Rat 1: Target arm')\n", + "axs[0].set_xlim(-0.1,1,1)\n", + "#axs[0].set_ylim(0,15000)\n", + "axs[1].hist(pippin_combined_opposite_post,bins=np.arange(0,1,0.05))\n", + "axs[1].set_title('Opposite arm')\n", + "axs[1].set_xlim(-0.1,1,1)\n", + "#axs[1].set_ylim(0,15000)\n", + "axs[2].hist(pippin_combined_box_post,bins=np.arange(0,1,0.05))\n", + "axs[2].set_title('Box area')\n", + "axs[2].set_xlim(-0.1,1,1)\n", + "#axs[2].set_ylim(0,15000)\n", + "for ax in axs:\n", + " for spine in ax.spines.values():\n", + " spine.set_edgecolor('black')\n", + "plt.show()\n", + "\n", + "fig, axs = plt.subplots(1, 3, layout='constrained',figsize=(12,3))\n", + "#plt.boxplot(position_list)\n", + "axs[0].hist(tonks_combined_target_post,bins=np.arange(0,1,0.05))\n", + "axs[0].set_title('Rat 2: Target arm')\n", + "axs[0].set_xlim(-0.1,1,1)\n", + "#axs[0].set_ylim(0,120000)\n", + "axs[1].hist(tonks_combined_opposite_post,bins=np.arange(0,1,0.05))\n", + "axs[1].set_title('Opposite arm')\n", + "axs[1].set_xlim(-0.1,1,1)\n", + "#axs[1].set_ylim(0,120000)\n", + "axs[2].hist(tonks_combined_box_post,bins=np.arange(0,1,0.05))\n", + "axs[2].set_title('Box area')\n", + "axs[2].set_xlim(-0.1,1,1)\n", + "#axs[2].set_ylim(0,120000)\n", + "for ax in axs:\n", + " for spine in ax.spines.values():\n", + " spine.set_edgecolor('black')\n", + "plt.show()\n", + "\n", + "fig, axs = plt.subplots(1, 3, layout='constrained',figsize=(12,3))\n", + "#plt.boxplot(position_list)\n", + "axs[0].hist(ginny_combined_target_post,bins=np.arange(0,1,0.05))\n", + "axs[0].set_title('Rat 3: Target arm')\n", + "axs[0].set_xlim(-0.1,1,1)\n", + "axs[1].hist(ginny_combined_opposite_post,bins=np.arange(0,1,0.05))\n", + "axs[1].set_title('Opposite arm')\n", + "axs[1].set_xlim(-0.1,1,1)\n", + "axs[2].hist(ginny_combined_box_post,bins=np.arange(0,1,0.05))\n", + "axs[2].set_title('Box area')\n", + "axs[2].set_xlim(-0.1,1,1)\n", + "for ax in axs:\n", + " for spine in ax.spines.values():\n", + " spine.set_edgecolor('black')\n", + "plt.show()\n", + "\n", + "fig, axs = plt.subplots(1, 3, layout='constrained',figsize=(12,3))\n", + "#plt.boxplot(position_list)\n", + "axs[0].hist(ron_combined_target_post,bins=np.arange(0,1,0.05))\n", + "axs[0].set_title('Rat 4: Target arm')\n", + "axs[0].set_xlim(-0.1,1,1)\n", + "axs[1].hist(ron_combined_opposite_post,bins=np.arange(0,1,0.05))\n", + "axs[1].set_title('Opposite arm')\n", + "axs[1].set_xlim(-0.1,1,1)\n", + "axs[2].hist(ron_combined_box_post,bins=np.arange(0,1,0.05))\n", + "axs[2].set_title('Box area')\n", + "axs[2].set_xlim(-0.1,1,1)\n", + "for ax in axs:\n", + " for spine in ax.spines.values():\n", + " spine.set_edgecolor('black')\n", + "plt.show()\n", + "\n", + "fig, axs = plt.subplots(1, 3, layout='constrained',figsize=(12,3))\n", + "#plt.boxplot(position_list)\n", + "axs[0].hist(molly_combined_target_post,bins=np.arange(0,1,0.05))\n", + "axs[0].set_title('Rat 5: Target arm')\n", + "axs[0].set_xlim(-0.1,1,1)\n", + "axs[1].hist(molly_combined_opposite_post,bins=np.arange(0,1,0.05))\n", + "axs[1].set_title('Opposite arm')\n", + "axs[1].set_xlim(-0.1,1,1)\n", + "axs[2].hist(molly_combined_box_post,bins=np.arange(0,1,0.05))\n", + "axs[2].set_title('Box area')\n", + "axs[2].set_xlim(-0.1,1,1)\n", + "for ax in axs:\n", + " for spine in ax.spines.values():\n", + " spine.set_edgecolor('black')\n", + "plt.show()\n", + "\n", + "fig, axs = plt.subplots(1, 3, layout='constrained',figsize=(12,3))\n", + "#plt.boxplot(position_list)\n", + "axs[0].hist(arthur_combined_target_post,bins=np.arange(0,1,0.05))\n", + "axs[0].set_title('Rat 6: Target arm')\n", + "axs[0].set_xlim(-0.1,1,1)\n", + "axs[1].hist(arthur_combined_opposite_post,bins=np.arange(0,1,0.05))\n", + "axs[1].set_title('Opposite arm')\n", + "axs[1].set_xlim(-0.1,1,1)\n", + "axs[2].hist(arthur_combined_box_post,bins=np.arange(0,1,0.05))\n", + "axs[2].set_title('Box area')\n", + "axs[2].set_xlim(-0.1,1,1)\n", + "for ax in axs:\n", + " for spine in ax.spines.values():\n", + " spine.set_edgecolor('black')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "2d5507e9", + "metadata": {}, + "source": [ + "## Figure 5 - remote representation over time" + ] + }, + { + "cell_type": "code", + "execution_count": 398, + "id": "36741b38", + "metadata": {}, + "outputs": [], + "source": [ + "# load remote linear regression dict\n", + "file = open('/stelmo/mcoulter/coulter_all_figures/remote_lin_regress_dict.pkl','rb')\n", + "remote_fraction_dict = pickle.load(file)\n", + "file.close()\n", + "\n", + "ron_session_list_content = remote_fraction_dict[1]\n", + "ron_target_list_content = remote_fraction_dict[2]\n", + "tonks_session_list_content = remote_fraction_dict[3]\n", + "tonks_target_list_content = remote_fraction_dict[4]\n", + "arthur_session_list_content = remote_fraction_dict[5]\n", + "arthur_target_list_content = remote_fraction_dict[6]\n", + "molly_session_list_content = remote_fraction_dict[7]\n", + "molly_target_list_content = remote_fraction_dict[8]\n", + "ginny_session_list_content = remote_fraction_dict[9]\n", + "ginny_target_list_content = remote_fraction_dict[10]\n", + "pippin_session_list_content = remote_fraction_dict[11]\n", + "pippin_target_list_content = remote_fraction_dict[12]" + ] + }, + { + "cell_type": "code", + "execution_count": 168, + "id": "5bdf5dc8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "pippin\n", + "LinregressResult(slope=0.00447127184604296, intercept=-0.0014186434515174387, rvalue=0.897434823775763, pvalue=0.006118767622515478, stderr=0.000982938970636936, intercept_stderr=0.009765996348978198)\n", + "tonks\n", + "LinregressResult(slope=0.00026684132005561404, intercept=0.016053050396868815, rvalue=0.38775307199168624, pvalue=0.005398440243884689, stderr=9.155806814058763e-05, intercept_stderr=0.002681885699302658)\n", + "ginny\n", + "LinregressResult(slope=0.0001581274708743138, intercept=0.011961244968945916, rvalue=0.3218974375001014, pvalue=0.037629466263834385, stderr=7.353708030966419e-05, intercept_stderr=0.002208095851579548)\n", + "ron\n", + "LinregressResult(slope=0.0002902849141234397, intercept=0.012875340608801033, rvalue=0.35937289267863415, pvalue=0.016582710206678227, stderr=0.00011631251975887086, intercept_stderr=0.00371406176658152)\n", + "molly\n", + "LinregressResult(slope=-5.532272117759382e-05, intercept=0.020825851641821772, rvalue=-0.06288668449549506, pvalue=0.6643910061922234, stderr=0.00012672542435101483, intercept_stderr=0.0038731154282546395)\n", + "arthur\n", + "LinregressResult(slope=0.00010866800431704471, intercept=0.01480976574741472, rvalue=0.23986057267267374, pvalue=0.09001299917718991, stderr=6.283155956444699e-05, intercept_stderr=0.001934559129021653)\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# FOR linear regression \n", + "\n", + "import scipy as sp\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib\n", + "\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 10\n", + "plt.rcParams['ytick.major.width'] = 3\n", + "plt.rcParams['xtick.major.width'] = 3\n", + "matplotlib.rc('xtick', labelsize=20) \n", + "matplotlib.rc('ytick', labelsize=20) \n", + "\n", + "for rat in ['pippin','tonks','ginny','ron','molly','arthur']:\n", + " if rat == 'pippin':\n", + " session_list = pippin_session_list_content\n", + " target_list = pippin_target_list_content\n", + " title = 'Rat 1'\n", + " elif rat == 'tonks':\n", + " session_list = tonks_session_list_content\n", + " target_list = tonks_target_list_content \n", + " title = 'Rat 2'\n", + " elif rat == 'ginny':\n", + " session_list = ginny_session_list_content\n", + " target_list = ginny_target_list_content \n", + " title = 'Rat 3'\n", + " elif rat == 'ron':\n", + " session_list = ron_session_list_content\n", + " target_list = ron_target_list_content \n", + " title = 'Rat 4'\n", + " elif rat == 'molly':\n", + " session_list = molly_session_list_content\n", + " target_list = molly_target_list_content \n", + " title = 'Rat 5'\n", + " elif rat == 'arthur':\n", + " session_list = arthur_session_list_content\n", + " target_list = arthur_target_list_content \n", + " title = 'Rat 6'\n", + " \n", + " # linear regression\n", + " print(rat)\n", + " print(sp.stats.linregress(session_list,target_list))\n", + " [a,b,c,d,e] = sp.stats.linregress(session_list,target_list)\n", + "\n", + " fig, ax = plt.subplots()\n", + " fig.set_size_inches(6,4)\n", + " ax.scatter(session_list,target_list,s=25,c='k')\n", + " # purple: #950095, orange: #F7941E, grey: #858483, pink: #ef94f7, blue/purp: #525fab\n", + " # regression line\n", + " ax.plot(np.arange(0,session_list[-1])*a+b,color='#950095',linewidth=3)\n", + "\n", + " ax.spines['top'].set_visible(False)\n", + " ax.spines['right'].set_visible(False)\n", + " ax.spines['bottom'].set_color('black')\n", + " ax.spines['left'].set_color('black')\n", + " ax.tick_params(labelbottom=True, labeltop=False, labelleft=True, labelright=False,\n", + " bottom=True, top=False, left=True, right=False)\n", + " ax.locator_params(nbins=10, axis='x')\n", + "\n", + " # change thickness spines\n", + " for axis in ['top','bottom','left']:\n", + " ax.spines[axis].set_linewidth(2)\n", + " for axis in ['top']: \n", + " ax.spines[axis].set_linewidth(0)\n", + " ax.set_title(title)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 399, + "id": "0291b69d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "LinregressResult(slope=0.015384099916742127, intercept=-0.39569922572735083, rvalue=0.2411394846450424, pvalue=0.0001425747997315265, stderr=0.003980039248086503, intercept_stderr=0.11988302960120752)\n" + ] + }, + { + "data": { + "text/plain": [ + "(-2.2, 4.5)" + ] + }, + "execution_count": 399, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# zscore each array - combined plot\n", + "\n", + "all_end_zscore = np.concatenate([\n", + " sp.stats.zscore(pippin_target_list_content),sp.stats.zscore(tonks_target_list_content),\n", + " sp.stats.zscore(ginny_target_list_content),sp.stats.zscore(ron_target_list_content),\n", + " sp.stats.zscore(molly_target_list_content),sp.stats.zscore(arthur_target_list_content),])\n", + "all_rats_session = np.concatenate([pippin_session_list_content,tonks_session_list_content,\n", + " ginny_session_list_content,ron_session_list_content,\n", + " molly_session_list_content,arthur_session_list_content])\n", + "\n", + "print(sp.stats.linregress(all_rats_session,all_end_zscore))\n", + "[a,b,c,d,e] = sp.stats.linregress(all_rats_session,all_end_zscore)\n", + "\n", + "# plot combined graph\n", + "\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 10\n", + "plt.rcParams['ytick.major.width'] = 3\n", + "plt.rcParams['xtick.major.width'] = 3\n", + "\n", + "fig, ax = plt.subplots()\n", + "fig.set_size_inches(8, 5)\n", + "#plt.figure()\n", + "#plt.figure(figsize=(3,3))\n", + "ax.scatter(all_rats_session,all_end_zscore,s=25,c='k')\n", + "# purple: #950095, orange: #F7941E, grey: #858483, pink: #ef94f7, blue/purp: #525fab\n", + "# regression line\n", + "ax.plot(np.arange(0,session_list[-1])*a+b,color='#950095',linewidth=3)\n", + " \n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.spines['bottom'].set_color('black')\n", + "ax.spines['left'].set_color('black')\n", + "ax.tick_params(labelbottom=True, labeltop=False, labelleft=True, labelright=False,\n", + " bottom=True, top=False, left=True, right=False)\n", + "ax.locator_params(nbins=10, axis='x')\n", + "\n", + "# change thickness spines\n", + "for axis in ['top','bottom','left']:\n", + " ax.spines[axis].set_linewidth(2)\n", + "for axis in ['top']: \n", + " ax.spines[axis].set_linewidth(0)\n", + "\n", + "# increase tick width\n", + "ax.tick_params(width=2)\n", + "\n", + "plt.ylim(-2.2,4.5)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 396, + "id": "4131e6b8", + "metadata": {}, + "outputs": [], + "source": [ + "# load remote linear regression dict\n", + "file = open('/stelmo/mcoulter/coulter_all_figures/remote_lin_regress_dict_base.pkl','rb')\n", + "remote_fraction_dict = pickle.load(file)\n", + "file.close()\n", + "\n", + "ron_session_list_content = remote_fraction_dict[1]\n", + "ron_target_list_content = remote_fraction_dict[2]\n", + "tonks_session_list_content = remote_fraction_dict[3]\n", + "tonks_target_list_content = remote_fraction_dict[4]\n", + "arthur_session_list_content = remote_fraction_dict[5]\n", + "arthur_target_list_content = remote_fraction_dict[6]\n", + "molly_session_list_content = remote_fraction_dict[7]\n", + "molly_target_list_content = remote_fraction_dict[8]\n", + "ginny_session_list_content = remote_fraction_dict[9]\n", + "ginny_target_list_content = remote_fraction_dict[10]\n", + "pippin_session_list_content = remote_fraction_dict[11]\n", + "pippin_target_list_content = remote_fraction_dict[12]" + ] + }, + { + "cell_type": "code", + "execution_count": 170, + "id": "6a1ca888", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "pippin\n", + "LinregressResult(slope=-0.0011853254685351494, intercept=0.035797846597308704, rvalue=-0.79681531607032, pvalue=0.03192965173636986, stderr=0.00040196861435881485, intercept_stderr=0.0039937617059665875)\n", + "tonks\n", + "LinregressResult(slope=8.340163703057554e-05, intercept=0.02123157507694061, rvalue=0.15818249275566468, pvalue=0.27257415017519776, stderr=7.514377621265461e-05, intercept_stderr=0.002201084218016401)\n", + "ginny\n", + "LinregressResult(slope=0.00024838134056692134, intercept=0.009676842219549116, rvalue=0.6876639411799595, pvalue=4.876459491113443e-07, stderr=4.146357722862581e-05, intercept_stderr=0.001245025672553724)\n", + "ron\n", + "LinregressResult(slope=-0.0002580853022634378, intercept=0.02368841884191565, rvalue=-0.4178772130556882, pvalue=0.004765091715993741, stderr=8.657979419993433e-05, intercept_stderr=0.0027646439442899936)\n", + "molly\n", + "LinregressResult(slope=-0.0003795728225982105, intercept=0.04016056988127411, rvalue=-0.3100876121433597, pvalue=0.028413811626824877, stderr=0.00016797212465161906, intercept_stderr=0.005133740374803388)\n", + "arthur\n", + "LinregressResult(slope=2.3209201198914162e-05, intercept=0.03370913576539414, rvalue=0.04065512653140206, pvalue=0.7769813575611956, stderr=8.148686878138276e-05, intercept_stderr=0.0025089487988073787)\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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/o0ePCq9HjBhh0TkiIyOFQuSWuhHX19fj+PHjwntaKyomIiIicbIq1IwfP154/cUXXxjdR61WY/v27QCALl26ICYmxqJzdOrUSegHk5WVZfJW1549e1BVVdVsXADw7LPPIj8/v8X/9JeepqSkCN+3dLxERETkWFaFmmHDhmHkyJEAtKHmp59+arZPWlqa0EV49uzZzZZ/Z2RkYODAgRg4cCBWrlxp9DxyuRwA0NjYiGXLlqGpqclge3l5Od59910A2uD02GOPWfPjEBERkQhYXb36yiuvwNvbG42NjZDL5VizZg2OHz+OI0eO4LXXXkNqaioA7UPu5s6da9U5YmNj8cADDwAA9u/fj7lz52Lfvn3Iy8vDF198gSeeeAIlJSUAgEWLFvGJ20RERG7MqkJhABg8eDA++OADJCUloaqqCu+//36zfUJCQrB27VrhKdrWeOutt1BVVYUDBw4gOzsb2dnZBtulUinmz5+PJ5980upzEBERkeuzOtQAwLhx47Bjxw5s3LgRmZmZKCsrg6enJ4KDgzFp0iTMnDnT4BEG1vD29sbatWuxc+dOfPnllzh16hSuX7+O7t27Izo6GjNnzkRUVFSbzkFERESuT6LRaDSOHoQ7CAoKQnFxMQIDA3Hp0iVHD4eIiEh02BGOiIiIRIGhhoiIiESBoYaIiIhEgaGGiIiIRIGhhoiIiESBoYaIiIhEgaGGiIiIRIGhhoiIiESBoYaIiIhEgaGGiIiIRIGhhoiIiESBoYaIiIhEgaGGiIiIRIGhhoiIiESBoYaIiIhEgaGGiIiIRIGhhoiIiESBoYaIiIhEgaGGiIiIRIGhhoiIiESBoYaIiIhEgaGGiIiIRMHD0QMgItsqKChAWloaioqKEBISArlcjvDwcEcPi4io3Uk0Go3G0YNwB0FBQSguLkZgYCAuXbrk6OGQSKWnpyMhIQESiQQajUb4U6lUIj4+3tHDIyJqVww1dsJQQ+2toKAAgwYNglqtbrZNKpUiPz8fYWFhDhgZEZF9sKaG2kVBQQGSk5Mxbdo0JCcno6CgwNFDEr20tDRIJBKj2yQSCZRKpZ1HRERkX6ypIZszdgtkxYoVvAXSzoqKimBq4lWj0aCoqMi+AyKjWPNE1H4YasimCgoKkJCQYPQWiEKhQFxcHG+BtJOQkJAWZ2pCQkLsOyBqhoGfqH3x9hPZFG+BOI5cLm9xpkahUNh5RKRPP/A3NTUZ/KlQKHDmzBlHD5HI5THUkE3xFojjhIeHQ6lUQiqVQiaTGfypVCo5Q+ZgDPxE7Y+3n8imeAvEseLj4xEXFwelUinUbCgUCgYaJ8DAT9T+GGrIpuRyOVasWGF0G2+B2EdYWBhSUlIcPQy6BQM/Ufvj7SeyKd4CITKONU9E7Y8zNWRzvAVC1Jwu8CsUCqMdn/n3g6jt2FHYTthRmIgA4MyZMwz8RO2EocZOGGqIiIjaF2tqiIiISBQYaoiIiEgUGGqIiIhIFBhqiIiISBQYaoiIiEgUGGqIiIhIFBhqiIiISBQYaoiIiEgUGGqIiIhIFBhqiIiISBQYaoiIiEgUGGqIiIhIFBhqiIiISBQYaoiIiEgUGGqIiIhIFBhqiIiISBQ82nqAkpISbNq0CZmZmSgtLYWXlxeCg4MxefJkTJ8+HT4+PrYYJ3bt2oWMjAzk5+ejsrISPXr0QHR0NGbMmIHhw4ebfF99fT0OHDiA3Nxc5OXlobS0FBUVFaiurkanTp0QGhqK2NhYPPHEE+jdu7dNxkpERET2J9FoNBpr35yZmYnFixfjxo0bRreHhoZi3bp16Nevn9UDrKurw8KFC/Hdd98Z3S6VSrFgwQI888wzRrefP38e9913X6vn8fX1xeuvv44pU6ZYPdaWBAUFobi4GIGBgbh06VK7nIOIiMidWT1Tc+rUKTz33HOoqamBr68v5s2bh5iYGNTW1mL37t3YunUrzp07h8TERGzbtg0dO3a06jwvv/yyEGhiYmIwe/Zs9OzZE6dPn8aaNWtw4cIFfPjhh+jZsycee+wxo8fo1q0bYmJiEBkZib59+6JHjx7w9PREWVkZMjMzsXPnTqhUKrz00kvw9/fHPffcY+1lISIiIgexeqZm1qxZyMnJgYeHBz755BNERUUZbF+/fj1SU1MBAM8++ywWLFhg8TlycnIwa9YsAMDYsWOxatUqyGQyYXt5eTmmTp2KkpIS+Pn5Ye/evejSpYvBMdRqNSQSCSQSicnz5ObmYvr06WhoaMCQIUOQkZFh8Vhbw5kaIiKi9mVVoXBubi5ycnIAAFOnTm0WaABALpdjwIABAICNGzeioaHB4vOsX78eACCTybB06VKDQAMAAQEBWLx4MQCgsrIS27Zta3YMqVTaYqABgGHDhuGOO+4AAJw8eRLV1dUWj5WIiIgcy6pQs2/fPuH11KlTjR9YKhXqUyorK4UQZK7q6mpkZWUBAO68806TRbwTJkxAp06dAADffvutRefQ5+vrK7yur6+3+jhERETkGFaFmmPHjgHQBoEhQ4aY3G/UqFHC6x9++MGic+Tm5grhYvTo0Sb38/LyElY/5eXlWTUjdPXqVRw5cgQA4O/vD39/f4uPQURERI5lVaFwYWEhACA4OBgeHqYP0b9//2bvMdfZs2eNHseY0NBQHD58GI2NjTh//jzCwsJaPX59fT3KysqQlZWFdevWobKyEgAwe/bsVt9bXl7e6j63UqvVFr+HiIiIzGdxqKmrq0NFRQUAtNrXxc/PD76+vlCpVLh8+bJF5yktLRVe9+rVq8V9+/TpY/A+U6EmOzu7xdDypz/9CQkJCa2OLTY2ttV9bnXlyhWL30NERETmszjU6BfR6tehmOLj4wOVSgWVStVu59Fv8GfpeQAgMDAQy5Ytw1133WXxe4mIiMg5WDVTo+Pp6dnq/l5eXgCA2tpaq8+jO0Zr52jtPJGRkdi5cycA7e2n0tJS7N+/H//+97+RnJyMhQsXmux1Q0RERM7N4lDToUMH4bU5Rbm6Yl9vb2+rz9PaaiT97S2dx9fXFxEREcLXQ4cOxYQJE/DQQw8hMTERS5YsQVlZmVU9dYiIiMixLA41+p2BzbnVU1NTA8C8W1XWnkd3DmvOA2hrZGbPno3169dj1apVmDx5stBjxxjdUnNLDB061KBOiIiIiGzLqpkaf39/VFRUtFr8W1lZKQQSSx8Wqb9/WVkZIiMjTe6rHxb0i4Ytce+992L9+vVQq9XYs2dPi6EmICDA4uNLpXwgOhERUXuy6pNW94F/4cIFNDY2mtxPf1l2SyGhpXPcehxjzp07BwDw8PBAcHCwRefR0Q8qJSUlVh2DiIiIHMeqUBMdHQ1Ae1vo5MmTJvc7evSo8HrEiBEWnSMyMlIoRG6pG3F9fT2OHz8uvKe1omJTysrKhNfW3MIiIiIix7Iq1IwfP154/cUXXxjdR61WY/v27QCALl26ICYmxqJzdOrUSegHk5WVZfJW1549e1BVVdVsXJb6z3/+I7zWLyYmIiIi12BVqBk2bBhGjhwJQBtqfvrpp2b7pKWlCV2EZ8+e3Wz5d0ZGBgYOHIiBAwdi5cqVRs8jl8sBAI2NjVi2bBmampoMtpeXl+Pdd98FoA1OxpZjf/XVV7hx40aLP8/u3buxZcsWAEDnzp0xbty4FvcnIiIi52PVYxIA4JVXXsG0adNQW1sLuVyOp59+GjExMaitrTUICSEhIZg7d65V54iNjcUDDzyAXbt2Yf/+/Zg7dy7mzJmDnj174vTp01i9erVQ/7Jo0SL4+fk1O8aWLVvw6quvYvz48Rg1ahRCQ0PRuXNnqFQqnDt3Dt988w0OHDgAAJBIJHjllVfQtWtX6y4KkQgUFBQgLS0NRUVFCAkJgVwuR3h4uKOHRUTUKqtDzeDBg/HBBx8gKSkJVVVVeP/995vtExISgrVr1wpP0bbGW2+9haqqKhw4cADZ2dnIzs422C6VSjF//nw8+eSTJo+hUqmwY8cO7Nixw+Q+fn5+WLJkCR566CGrx0rk6tLT05GQkACJRAKNRgOJRIIVK1ZAqVQiPj7e0cMjImqR1aEGAMaNG4cdO3Zg48aNyMzMRFlZGTw9PREcHIxJkyZh5syZBo8wsIa3tzfWrl2LnTt34ssvv8SpU6dw/fp1dO/eHdHR0Zg5cyaioqJMvv/dd9/F999/j+zsbOTn5+O3335DRUUFPD094e/vj4iICNx111148MEHjc70ELmLgoICJCQkGH34qkKhQFxcnFkPiyUichSJRqPROHoQ7iAoKAjFxcUIDAzEpUuXHD0comaSk5ORmprarHYNAGQyGZKSkpCSkuKAkRERmYcd4YgIAFBUVARTv+NoNBoUFRXZd0BERBZiqCEiANoaOIlEYnSbRCJBSEiIfQdERGQhhhoiAqBtodDSTI1CobDziIiILMNQQ0QAgPDwcCiVSkilUshkMoM/lUoli4SJyOmxUNhOWChMruLMmTNQKpVCnxqFQsFAQ0QugaHGThhqiIiI2hdvPxEREZEoMNQQERGRKDDUEBERkSi06TEJ5L740EMiInI2LBS2EzEVCht76KFGo+FDD4mIyKEYauxELKGmoKAAgwYNMvrQQ6lUivz8fC7/JSIih2BNDVkkLS2txVb6SqXSziMiIiLSYqghi/Chh0RE5KwYasgifOghERE5K4YasggfekhERM6KoYYswoceEhGRs+LqJzsRy+onHT70kIiInA1DjZ2ILdSQaWxMSETkGAw1dsJQ4x7YmJCIyHEYauyEoUb82JiQiMixWChMZCNsTEhE5FgMNUQ2wsaERESOxVBDZCNsTEhE5FisqbET1tS4DmtXL7GmhojIsThTQ6QnPT0dgwYNQmpqKrZu3YrU1FQMGjQIGzZsaPW9bExIRORYnKmxE87UOD9bzbSwMSERkWN4OHoARM7CnNVLKSkprR4nLCzMrP2IiMi2ePuJ6CauXiIicm0MNUQ3cfUSEZFrY6ghukkul7c4U6NQKOw8IiIisgRDDdFNXL1EROTauPrJTmy9+qnp4mGoC3cDHj6Q9h0FaZ9RkPh0s8FIiauXiIhcE0ONndgy1Kivnkb9lkmApsng+xL/AZD2GQ1p39GQ9BkFSecgkzUiREREYsMl3S5IcyWvWaABAE1FIZoqCtH082fab3TqA2kf7SyOtO9oSAIiIJHwjiMREYkTQ40Lkt72R6CDH1BX2fKOVaVQF+yAumCH9usOfpD2GXlzNmcUJD0iIZF5tft4iYiI7IG3n+zE1jU1GtVvaDr5KdQlOVBf/hFoVFl+EA9vSHsNh+TmLStprxGQeHVs89iIiIgcgaHGTtrzMQmapgZofvsZ6tIcqEuOQl16FKgtt/xAEhkkPYYIt6tYfGyctQ+8JCKi9sVQYyf2fPaTRqOBpuIM1KVHtTM5pUeBG9adk8XHhtLT05GQkACJRAKNRiP8qVQqER8f7+jhkRkYSonEi6HGThz9QEvNjRK9mZwcaMpPW3cgNy4+ttUDL8lx7BFKGZqIHIehxk4cHWpupamtgLr0mDCTo7mSB6gbLT+QGxUfJycnIzU1FU1NzVeeyWQyJCUl8UGWTsweoZQzeUSOxdVPbkri7Q9Z6ATIQicAADQNKqjLfoLm5kyOtvi4pvUD1VVCXbQP6qJ92q8Nio9jIO0VJZriYz7w0rXZ6insphQUFCAhIcFoaFIoFIiLi+NMHlE7Y6ghAIDE0xeyoDFA0BgAuuLjkzfrcrRBB7UVrR+osRbq4iNA8RE0ATeLj4dqZ3NcvPiYD7x0be0dSts7NBFR6xhqyCiJzBOSXsMh7TUcGP6U9cXHmiZofj2Bpl9PoOmEUntsFy0+lsvlWLFihdFtfOCl82vvUMqZPCLHY6ghs0gkEkgCwiENCAeGTAdgffGxyc7HfUdD2mc0JAHhTll8rHvgpUKhMFozwVsLzq29Qyln8ogcj4XCduJshcLtQSg+vjmbY33xcdebxcc3V1j1GOpUxcd84KXr2rBhg8lQ2tZCXq6OI3I8hho7cYdQcytt8fFxaHS3rNrU+TjqZvHxKHY+pjZpz1DanqGJiFrHUGMn7hhqbtW887GZxce3cvHOx23tY8I+KM6NM3lEjsNQYycMNc25Y+fjtvYxYR8Ux2OoJLESw//bDDV2wlBjHsPi46PQlOdbdyAn7Hzc1poL1mw4HkMliZVY/t9mqLEThhrriKnzcVs7ErOjsX2Y+m2VoZLESkz/b3NJNzk1+3Q+Hm2X4uO29jFhH5T2Z+y31RUrVkCpVCI/P5/N9UiUxNQ4ss2hpqSkBJs2bUJmZiZKS0vh5eWF4OBgTJ48GdOnT4ePj48txoldu3YhIyMD+fn5qKysRI8ePRAdHY0ZM2Zg+PDhLb737NmzOHjwIHJycnDq1Cn89ttvkEgk6NatG4YNG4YpU6bgnnvuccoaDDJksvPxzZkcdenRNnQ+bt/i47b2MWEflPbV2mMOJk+ezFBJoiSmX5jaFGoyMzOxePFi3LhxQ/heTU0N8vLykJeXh88//xzr1q1Dv379rD5HXV0dFi5ciO+++87g+8XFxSguLsZXX32FBQsW4JlnnjH6/hdffBHbt283uk13jK+//hpxcXH44IMP0KVLF6vHSvZn0Pk4KhEajRqaikIrOx/nounX3N87H3cdoF1C3mc0JH1Ht7n4uK3N39jRuH219tvq1atXGSpJlMT0C5PVNTWnTp3Ck08+iZqaGvj6+mLevHmIiYlBbW0tdu/eja1btwIA+vfvj23btqFjR+um9hctWoSvvvoKABATE4PZs2ejZ8+eOH36NNasWYMLFy4AAN544w089thjzd4fHx+PrKwsdO3aFRMnTsTo0aMRGBgImUyGX375Benp6Th37hwAIDo6Gp988gmkUtsXlLKmxnGs7XzcjA06H7e1jwn7oLSfadOmYevWrSbrCiZPnoyvv/5aFHUHRPrEVFNjdaiZNWsWcnJy4OHhgU8++QRRUVEG29evX4/U1FQAwLPPPosFCxZYfI6cnBzMmjULADB27FisWrUKMplM2F5eXo6pU6eipKQEfn5+2Lt3b7OZlpdeeglRUVF4+OGH4eXVvDC0pqYGCoUCP/zwAwDgnXfewZQpUywea2sYapyH7YqPret83NY+JuyD0j7MKcQeOHAgQyWJklh+YbIq1OTm5gqzIk888QT+/ve/N9tHrVbjwQcfRGFhIfz8/PDf//4Xnp6eFp0nMTERBw4cgEwmw/79+9G7d+9m++zatQsvvPACAO2tJrlcbumPg9OnT+NPf/oTAGDcuHH417/+ZfExWsNQ47wMi4+PsvOxmzL3t1WGShIrMfy/bVVNzb59+4TXU6dONbqPVCrFlClT8N5776GyshI5OTkYM2aM2eeorq5GVlYWAODOO+80GmgAYMKECejUqROqqqrw7bffWhVqIiIi4O/vj4qKCly8eNHi95NrM158/LNBvxzUlrd+oMZaqIuzgOIsuxUfk+2Y+8DSsLAwl1kJQmQJMfy/bVWoOXbsGADA19cXQ4YMMbnfqFGjhNc//PCDRaEmNzcX9fX1AIDRo0eb3M/LywvDhw/H4cOHkZeXh4aGBotnhACgoaEBALgCim4WH98Oaa/bgeFPWd/52FjxsYt0PnZX8fHxiIuLc/nfVonclVWhprCwEAAQHBwMDw/Th+jfv3+z95jr7NmzRo9jTGhoKA4fPozGxkacP3/e4n+Afv75Z1RVVZl1LkBby2MpY1Pa5BokEgkkAeGQBoQDQ6YDsL74WFNRiKaKQjT9/Jn2GzYoPibbEsNvq0TuyuJQU1dXh4oKbR8QU7eEdPz8/ODr6wuVSoXLly9bdJ7S0lLhda9evVrct0+fPgbvszTUrF69Wng9efLkVvePjY216PgAcOXKFYvfQ85L0rkvZJ2nQBYxBYBe8fHN2Ryzi4+rSqEu2AF1wQ7t107Q+ZiIyFVZHGqqq6uF176+vq3u7+PjA5VKBZXKssJLS86j3+DP0vN88803+OabbwAAQ4YMwcSJEy16PxFgrPNxjbb4WHfL6vIPLtP5mIjIVVk1U6NjTu2Kbhl1bW2t1ecxthTb2DksPU9hYSGSk5MBAN7e3lixYgXrG8gmJJ4+kAXdCQTdCaA9Ox+PhsQnoF1/FiIiV2FxqOnQoYPwWldc2xJdsa+3t7fV59Edo7VzWHKesrIyPPXUU6iuroZEIsGbb77JYkBqN8Y7H58x6JfD4mMioraxONTodwY251ZPTY12yt2cW1XWnkd3DnPPc+3aNSgUChQXFwMAXnnlFTz44INmj0231NwSQ4cONagTIvcmkUghCYiANCCCxcdERDZi1UyNrqdLa8W/lZWVQiBpraj4Vvr7l5WVITIy0uS++mFBv2jYmKqqKiQkJKCgoAAAsHDhQqFrsbkCAiyf7m+PRy+QuJgsPra083Gz4mPrOh8TEbkaq5Z0DxgwAMeOHcOFCxfQ2Nhoclm3/rLsAQMGWHwOY8cxRvfsJg8PDwQHB5vcr7a2Fn/5y1+Ql5cHQPvk3fnz51s0LiJ7aV58rN/5OOdm52Nzio+vQV20F+qivdqvDTofj9a+ZvExEYmAVaEmOjoax44dg0qlwsmTJ3H77bcb3e/o0aPC6xEjRlh0jsjISHh6eqKhoQE5OTlITEw0ul99fT2OHz8uvMdUUXFDQwOeffZZ5OTkAACefPJJ/O1vf7NoTESOZLzzsbXFx7d2Ph6qnc1h52MicmFWhZrx48djzZo1AIAvvvjCaKhRq9XYvn07AKBLly6IiYmx6BydOnVCbGwsDh48iKysLFy+fNnoLaw9e/YIjfPGjx9v9FhNTU1YtGgRDh48CAD485//jKVLl1o0HiJn07z4uC2dj0+g6dcTLD4mIpdmVaHHsGHDMHLkSADaUPPTTz812yctLU3oIjx79uxmy78zMjIwcOBADBw4ECtXrjR6Ht1znBobG7Fs2bJmT88tLy/Hu+++C0AbnHQP2dSn0WiwZMkSoRfNxIkTkZKSwn+gSXQkEgmkAeHwGDIdXhP+Ae/Z/0WH2VnwnPBPyIbMhCQgwuxjaW4WHjfsfR71m+JQtzEW9d8+i8b/bYL6aj40GnbIJiLnY9VMDaBdMTRt2jTU1tZCLpfj6aefRkxMDGpra7F7925s2bIFABASEoK5c+dadY7Y2Fg88MAD2LVrF/bv34+5c+dizpw56NmzJ06fPo3Vq1ejpKQEALBo0SL4+fk1O8Y777yDjIwMANoHV86bN6/VRzZERJj/jz+RM7u1+PjTtFXY/M+/YcyADrhzgBei+nnBU2ZGwLdh8XFBQQHS0tKEZyvJ5XKEh4db+RMSEf1OotFoNNa+ef/+/UhKShJu/9wqJCQEa9euxW233dZsW0ZGhtD4bsGCBXj22WeNHqO2thZ//etfceDAAaPbpVIp5s+fb/L948aNE5Zumys/P9+i/c0RFBSE4uJiBAYG4tIlM24JENlYQUEBBg0aZPAcMh9PCUaFeCEu3BtJs8bCu/IU0GhZV24AZnc+Tk9PR0JCgtGnYMfHx7fhpyMiasNMDaANDDt27MDGjRuRmZmJsrIyeHp6Ijg4GJMmTcLMmTMNHmFgDW9vb6xduxY7d+7El19+iVOnTuH69evo3r07oqOjMXPmTERFRbXpHETuIC0trdlt15oGDQ4W1OG/ZxuhHjYIb72xFZrfftbrl3MUqDXjAa6tdj4ehTOXypGQkGD04a4KhQJxcXFsgElEbdKmmRoyH2dqyNGmTZuGrVu3Gg0VUqkUjz/+OD777DOD71tdfGzElYYu+OpoKQ4V1OC/hXW4UP57jZxMJkNSUhKfjk1EbdKmmRoich0hISEmC+QlEglCQkKMfl8SEA5pQLhe5+PimwHnmEWdj3t4XsfcOzti7p3a21KXKhrx38I6fF9Yh6yz9ThfdM66H0xkWHNEZD3O1NgJZ2rI0YzV1OhIpVLk5+dbdfvH6s7Ht6hRe6Fj/7tuLiUfBUmPSLfrfMyaI6K2YaixE4YacgYbNmyAQqFo1w9Nqzsf38rM4mOxaK/QSeROePuJyI3Ex8cjLi4OSqVSuL2hUChs+mHZUufjouwv4F15Et07yVo/kBnFx2LqfGyskFtHIpFAqVSy5oioFQw1RG4mLCzMrh+O+p2Pw6IScaagAKs2foCON35BVF81hnSrgUdtWesH0jRB82sumn7NFWXn46KiIpiaONdoNCgqKrLvgIhcEEMNuR0WYjpWWHg4Fi3/2OB7mhslesvIzS8+1lQUoulm92MAQKc+ejM5oyEJCIdEYlXjdLuzppCbiAyxpsZOWFPjHFiI6RpsVXzcls7H9saaGqK2Y6ixE4Yax+OHhusSio91Qefyj+3a+dhR7FHITSRmvP1EboOFmK7LePFx+3Q+dmTxsT0KuYnEjKGG3AYLMcVDW3x8O6S9bgeGP2V952MnLD62dyE3iQfrBRlqyI2wEFO8jHc+ZvExuQ9j9YIrVqxwu1uXrKmxE9bUOB5ratyb7YqP/bQhp88ot+18TM6F/7b9jjM15DbCw8OhVCpNFmK6y196dyXx9ocsdAJkoRMAtKHzcV0l1EV7oS7aq/3ayYuPSfxYL/g7hhpyKyzEJJ2WOh+rS3XFxxWtH8jJi49J/Fgv+DuGGnI7LMQkY/Q7HyMqERqNWlt8rJvJKTkKVBW3fiAnLD4mcWO94O9YU2MnrKkhcn2aG8U3V1hZVnzcDIuPyYZYU/M7hho7YaghEh937HxMzomNG7UYauyEoYZI/KwuPr6VhzekvaL0io+jWHxMrTpz5ozb1wsy1NgJQw2R+7G68/GtJDJIegzVzuaw+JjIJIYaO2GoISKrOx8bweJjouYYauyEoYaIjLG283EzLD4mYqixF4YaIjKHUHx8czanbZ2PR96czWHnY3IPDDV2wlBDRNbQNNRoi491t6wu/wg0qiw/EDsfkxtgqLEThhoisgXbFh+z8zGJC0ONnTDUEFF7YPEx0e8YauyEoYaI7MXmnY91TQEDIlh8TCYVFBQgLS1N6JMjl8sRHh5u1zEw1NgJQw0ROYrtOh+z+Lg1zvDB7gjp6elISEhweEdjhho7YaghImdh287HLD7WcZYPdntzpmdPMdTYCUMNETkrbfHxyZszOcegLs0BaissP5AbFx870we7vSUnJyM1NRVNTU3NtslkMiQlJSElJcUuY/Gwy1mIiMhpSWSekPQaDmmv4UBUovXFx5omaH7NRdOvuWg6odQe202Kj9PS0kz+XBKJBEql0m4f7PZWVFQEU/MjGo0GRUVFdhsLQw0RERmQSCSQBIRDGhAODJkOwPrOx5qKQjRVFKLp58+03xBp52Nn+mC3t5CQkBYDXUhIiN3GwlBDREStknTuC1nnKZBFTAHQhuLjqlKoC3ZAXbBD+3WHrjeLj2+usOox1CWLj53pg93e5HI5VqxYYXSbRqOBQqGw21hYU2MnrKkhIjFz987H7lxTAwAbNmyAQqFweJE0Q42dMNSQudx1SSiJizt2PnaWD3ZHOXPmDJRKpfBvl0KhsHuQY6ixE4YaMoe7Lgkl23HWUOwunY+d4YPdnTHU2AlDDbXG3aevqe1cLRRbW3zcjEiLj8lyDDV24mqhxll/2xMzZ+r1QK5HDKGYnY+prbj6iZox9tveihUrnPa3PbFw5yWh1HZi6JMi8faHLHQCZKETALSh83FdJdRF+6Au2qf92oLiY/5C59oYashAQUEBEhISjP62p1AoEBcX5/S/7bkqd14SSm0nxlAs8fSFLGgMEDQGwK2dj3XFx2Z0Pm6shbr4CFB8BE2AyeJj/kLn+njTkQyY89setQ+5XN7ih5I9ez2Q63GHUCyReULaazg8ohLhdf86dJD/CK9pe+Bxz1uQRkwBOgWadyBd5+MTSjR8PQ91aSNwY8NdqNmzGE9EeyPQD1Cr1WhqaoJarYZCocCZM2fa9Wcj2+BMDRkQ4297riI8PBxKpdLkklDOkFFLnKkBmr1IJFJIAiIgDYgAhs4AAGhuFN9cYWVZ8bFn9QXIx3SCfEwnAMClikb8t7AO/z1ThyNFDVAq1yMl5e12+1nINhhqyIA7/LbnzOLj4xEXF8cloWQxhmItSedAyDoHtrnzcZC/B54Y6YEnRmprb6oaPkf9risu3/lY7Lj6yU5cZfWTGFZQELkz9klpmdXFx7fy8Ia0V5Re8XGUS3Q+FjuGGjtxlVADsCsmEbkPXefjstzdOPT5B4jt74UenWWWH0gig6THUO1Scl2/HJ8A2w+YWsRQYyeuFGoA/rZHRO5H9wvdoN6eiO3vhTEDOuDO/l64rZt1lRrO3PlYrBhq7MTVQg0RkTsy9gvdgF6+7HzsIhhq7IShhohIHGzb+XjUzaDDzse2wFBjJww1RETiZNviY/M6H5NxDDV2wlBDROQerO58fCsTnY+t5Q6PgGCosROGGiIi96TRqKGpOPP7LauSHKCq2KpjWVt87GpPcLcWQ42dMNQQEZGOtZ2PmzGj+Nid+o+1uaNwSUkJNm3ahMzMTJSWlsLLywvBwcGYPHkypk+fDh8fH1uME7t27UJGRgby8/NRWVmJHj16IDo6GjNmzMDw4cNbfO/169eRl5eH3Nxc4c8rV64AAEaPHo1NmzbZZIxERGLnDrcw7MFWnY9RVQp1wQ6oC3Zov+7QVdsrR6/zsRie4G6uNs3UZGZmYvHixbhx44bR7aGhoVi3bh369etn9QDr6uqwcOFCfPfdd0a3S6VSLFiwAM8884zJY4wbNw7Fxcan+uwVajhTQ0Suzl1uYTgDWxYf//KbF77MuoTDZ2qQc64e1fW/f+xLpVI8/vjj+Oyzz2w4esexeqbm1KlTeO6551BTUwNfX1/MmzcPMTExqK2txe7du7F161acO3cOiYmJ2LZtGzp2tK6C++WXXxYCTUxMDGbPno2ePXvi9OnTWLNmDS5cuIAPP/wQPXv2xGOPPdbq8bp3747IyEiTIYmIiJorKChAQkKC0VsYCoUCcXFxormF4Qwknr6QBY0BgsYAuLX4+BjUpTnmFR831uIPXWvxh8ldAHRBY5MGxy/W47+Fdfi+sA7ZRY2ieqaf1TM1s2bNQk5ODjw8PPDJJ58gKirKYPv69euRmpoKAHj22WexYMECi8+Rk5ODWbNmAQDGjh2LVatWQSb7vX11eXk5pk6dipKSEvj5+WHv3r3o0qVLs+MolUoEBQUhMjISffv2BQAMHDgQAGdqiIjMkZycjNTUVDQ1NTXbJpPJkJSUJJpbGK5Ao9HcLD4+Ktyywg3rPlsaOgbD+7Yxouh8bNVMTW5uLnJycgAAU6dObRZoAEAulyMjIwOFhYXYuHEj5s2bB09PT4vOs379egDavzBLly41CDQAEBAQgMWLF+OFF15AZWUltm3bBrlc3uw4CoXCovMSEZGhoqIimPodWKPRoKioyL4DcnMSiQSSgHBIA8KBIdMBAJobJVZ1PvasvoCmny+g6eebt6BcuPOxVaFm3759wuupU6ca3UcqlWLKlCl47733UFlZiZycHIwZM8bsc1RXVyMrKwsAcOedd6J3795G95swYQI6deqEqqoqfPvtt0ZDDRERtU1ISEiLxaZiuoXhqiSd+0LWeYrJ4mP1r7mQaJrPtDVjRvGxs3Y+tirUHDt2DADg6+uLIUOGmNxv1KhRwusffvjBolCTm5uL+vp6ANpbRKZ4eXlh+PDhOHz4MPLy8tDQ0GDxjBARkbuwdvWSXC7HihUrjG7TaDScEXdCEm9/yEInQBY6AQCgaajRFh/rblld/sG84uO6a1AX7YW6aK/2aw8fyIY/BY/RzzvdDI5VoaawsBAAEBwcDA8P04fo379/s/eY6+zZs0aPY0xoaCgOHz6MxsZGnD9/vt2L1crLyy1+j7HiOiIiezK2emnFihVmrV4KDw+HUqmEQqEwuvqJRcLOT+LpA1nQnUDQnQDa0Pm4sQZNxz6EtO9oyPrd1c6jtozFoaaurg4VFdof2tQtIR0/Pz/4+vpCpVLh8uXLFp2ntLRUeN2rV68W9+3Tp4/B+9r7L1dsbKzF79H1xSEicgRbrF6Kj49HXFxcs6dYM9C4JonME5JewyHtNRyISvy987FuGXnJ0RY7H5cW/YIgVw811dXVwmtfX99W9/fx8YFKpYJKpWq38+g3+LP0PERE7sBWDdjCwsK4ykmkJBIpJAERkAZEAENnALjZ+bgkBz9nbkLDhSMY3Fdb3vH92TpM/dt8fLDKy6l6FFk1U6NjTu2Kl5e2mKi2ttbq8+iO0do5rDkPiQ87nhI1x9VLZA1J50CclQ7F8Pn/hlqtRkBHKXw9JSi93oQmtfP1KLK4wqdDhw7C64aGhlb31xX7ent7W30e3TFaO4c15yFxSU9Px6BBg5CamoqtW7ciNTUVgwYNwoYNGxw9NCKH4uolspb+LF95tRqXrmkDDfD7LJ+zsHimRr8zsDm3empqtJXV5tyqsvY8unNYcx5r6JaaW2Lo0KEGdUJke+x4SmQaVy+RtVxpls+qmRp/f38AaLX4t7KyUggkrRUV30p//7Kyshb31Q8L+kXD7SUgIMDi/6RS51r2Jkbm1AwQuSvd6iWpVAqZTGbwJ1cvUUtcaZbPqk/aAQMGAAAuXLiAxkbTTxHVX5ate4+l57j1OMacO3cOAODh4YHg4GCLzkPi4Uq/TRA5Qnx8PPLz85GUlITHH38cSUlJyM/Pd6pCT3I+crm8xX9bnWmWz6o+NdHR0Th27BhUKhVOnjyJ22+/3eh+R48eFV6PGDHConNERkbC09MTDQ0NyMnJQWJiotH96uvrcfz4ceE9rRUVk3i50m8TRNZqayE8Vy+RpVypR5FVMzXjx48XXn/xxRdG91Gr1di+fTsAoEuXLoiJibHoHJ06dRL6wWRlZZm81bVnzx5UVVU1Gxe5H1f6bYLIGiyEJ0dxlVk+q0LNsGHDMHLkSADaUPPTTz812yctLU3oIjx79uxmy78zMjIwcOBADBw4ECtXrjR6Ht1znBobG7Fs2bJmT4ctLy/Hu+++C0AbnB577DFrfhwSCdYMkJjpF8I3NTUZ/KlQKHDmzBlHD5FETjfL99lnnyElJcUp/0216vYTALzyyiuYNm0aamtrIZfL8fTTTyMmJga1tbXYvXs3tmzZAkB7S2Du3LlWnSM2NhYPPPAAdu3ahf3792Pu3LmYM2cOevbsidOnT2P16tUoKSkBACxatAh+fn5Gj/PLL7/gl19+MbrtypUryMjIMPjexIkTDVZfketgx1MSK1s1z3M09pGi9mR1qBk8eDA++OADJCUloaqqCu+//36zfUJCQrB27Vp06tTJ6gG+9dZbqKqqwoEDB5CdnY3s7GyD7VKpFPPnz8eTTz5p8hh79+7FRx99ZHTbuXPnkJycbPC90aNHM9S4MNYMkBiJoRC+Lc+eIjKH1aEGAMaNG4cdO3Zg48aNyMzMRFlZGTw9PREcHIxJkyZh5syZBo8wsIa3tzfWrl2LnTt34ssvv8SpU6dw/fp1dO/eHdHR0Zg5cyaioqLadA4iImfn6oXwYukjxZkm5ybRmIr+ZFNBQUEoLi5GYGAgLl265OjhEJGLKSgowKBBg4yGAqlUivz8fKcOBcnJyUhNTW1WGwkAMpkMSUlJTj/DamymSbcCiDNNzoEd4YiIXICrF8K7+u0zFmq7hjbdfiIiIvtx5UJ4V799JpZCbbFjqCEiciGuWgjv6s+ecvWZJnfB209ERNTuXP32mavPNLkLFgrbCQuFiYiAM2fOuOTtM1cv1HYXDDV2wlBDZB4umSVntWHDBpPPP+LqJ+fAUGMnDDVEreOSWdcn9lDqqjNN7oKhxk4Yaohaxul918dQ2nZiD4XtjaHGThhqiFomhuZsYmDthypDadsxFLYdVz8RkVPgklnHS09Px6BBg5CamoqtW7ciNTUVgwYNwoYNG1p9rzl9XMg0NvezDYYaInIKXDLrWG39UGUobRuGQttgqCEipyCXy1v8UHT25myurq0fqgylbcNQaBsMNUTkFFy9OZura+uHKkNp2zAU2gZDDRE5jfj4eOTn5yMpKQmPP/44kpKSkJ+fzyJJO2jrhypDadswFNoGVz/ZCVc/EZEzs9XqJfZxsR6b+7UdQ42dMNQQkbPjh6rjMRS2DUONnTDUEJErcPUPVTavc28MNXbCUENE1L7MaV7H0CNuDDV2wlBDRNS69uxofOjQIXbsFTkPRw+AiIgIMD7TsmLFCrNCR2t9dlJTU7F+/XqjoUehUCAuLs6lbrORcVzSTUREDtfeHY0PHTrEjr1ugKGGiIgcztyOxgUFBUhOTsa0adOQnJyMgoICAK332QHAjr1ugLefiIjI4czpaNzS7Sm5XI4VK1aYfP/dd9+N06dPG93Ojr3iwZkaIiJyuNZmWrp06dLi7SndbI6pjsaLFi1ix143wFBDREQO19pjAiQSSau3p1p6zAYf4+AeePuJiIgcThc6THU0/uabb8yqiQkLC0NKSorR/eLj4xEXF+fSzQWpZQw1RETkFFoKHfn5+TZ5inVLoYdcH5vv2Qmb7xERWc9WD9wkcWNNDREROT3WxJA5OFNjJ5ypISJqO1d/4Ca1L4YaO2GoISIial+8/URERESiwFBDREREosBQQ0RERKLAUENERESiwFBDREREosBQQ0RERKLAxyS4qIKCAqSlpQm9GuRyOcLDwx09LCIiIodhnxo7sWWfmvT0dCQkJBh96Ft8fLxtBkxERORiGGrsxFahhs8/ISIiMo41NS4mLS2txSfVKpVKO4+IiIjIOTDUuJiioiKYmlzTaDQoKiqy74CIiIicBEONiwkJCWlxpiYkJMS+AyIiInISDDUuRi6XtzhTo1Ao7DwiIiIi58BQ42LCw8OhVCohlUohk8kM/lQqlSwSJiIit8XVT3ZiyyXdAHDmzBkolUqhT41CoWCgISIit8ZQYye2DjVERERkiLefiIiISBQYaoiIiEgUGGqIiIhIFBhqiIiISBQYaoiIiEgUGGqIiIhIFBhqiIiISBTYp8ZOvLy80NDQAKlUij59+jh6OERERC6nd+/eOHbsmMntHnYci1tramoCAKjVahQXFzt4NEREROLDUGMn3t7eqK2thUwmQ8+ePdt0LLVajStXrhh8r0ePHpBKeTexNbx2bcPr1za8fm3D62c9sVy73r17t7idt59cUHl5OWJjYw2+l5WVhYCAAAeNyHXw2rUNr1/b8Pq1Da+f9dzl2rlWRCMiIiIygaGGiIiIRIGhhoiIiESBoYaIiIhEgaGGiIiIRIGhhoiIiESBoYaIiIhEgaGGiIiIRIGhhoiIiESBoYaIiIhEgaGGiIiIRIHPfiIiIiJR4EwNERERiQJDDREREYkCQw0RERGJAkMNERERiQJDDREREYmCh6MHQJYrKSnBpk2bkJmZidLSUnh5eSE4OBiTJ0/G9OnT4ePj4+gh2tXVq1eRm5uL3Nxc5OXlIS8vD9euXQMAPPzww3j77bctOt7BgwexdetW5Obmory8HAEBARg2bBgef/xx3H333e3wEzjWyZMncejQIRw7dgwFBQW4evUqPD090bNnT0RFReHRRx/FyJEjzT6eu1y/qqoqHDhwAHl5efjf//6HsrIylJeXo66uDp07d0ZYWBjuvvtuPProo/D392/1eO5y3cyxYsUKKJVK4euNGzciJiamxfe44/UbOHCgWfuNHj0amzZtanEfsVw/Lul2MZmZmVi8eDFu3LhhdHtoaCjWrVuHfv362XlkjtPSX2xLQo1Go8Hrr7+OLVu2mNzniSeewLJlyyCRSCwepzOaOXMmjh492up+f/7zn/HGG2/Ay8vL5D7udv2+//57zJ07t9X9/P39kZqairvuusvodne7bq05deoUpk6disbGRuF7LYUad75+tgg1Yrt+nKlxIadOncJzzz2Hmpoa+Pr6Yt68eYiJiUFtbS12796NrVu34ty5c0hMTMS2bdvQsWNHRw/Z7vr06YMBAwbg8OHDFr/3H//4h/AXe/DgwUhISEC/fv1w8eJFrF+/Hj///DO2bNkCf39/PP/887YeukOUlZUBAHr27IlJkyZh5MiR6NOnD9RqNY4fP460tDSUlZXh3//+N5qamvDee++ZPJY7Xr8+ffogJiYGQ4YMQZ8+fdCjRw+o1WpcvnwZ33zzDfbs2YOKigr85S9/wbZt2zBo0KBmx3DH62aKWq3GkiVL0NjYiG7duuHq1autvofXD5g2bRqmT59ucntLs/eiu34achkzZ87UREREaAYPHqz58ccfm21ft26dJiIiQhMREaFZuXKlA0boGP/85z81+/fv11y5ckWj0Wg0Fy9eFK7Diy++aNYxioqKNIMHD9ZERERoHnnkEU1NTY3BdpVKpXnkkUeE63/+/Hmb/xyOkJiYqNm1a5emsbHR6ParV69q7rvvPuF6Hj161Oh+7nj9TF0zfXv27BGu3YIFC5ptd8fr1pL09HRNRESEZtKkSZr33ntPuHZHjhwxur+7Xz/d9fnwww+ter8Yrx8LhV1Ebm4ucnJyAABTp05FVFRUs33kcjkGDBgAQDtd29DQYNcxOspf//pXjB07Ft27d7f6GBs2bBCmu1999VV4e3sbbPfx8cGrr74KAGhsbMT//d//WT9gJ7JmzRrcf//9kMlkRrcHBATgpZdeEr7+z3/+Y3Q/d7x+pq6ZvvHjx6N///4AYPQ2nzteN1NKS0vxz3/+EwCwdOlSeHp6tvoeXr+2EeP1Y6hxEfv27RNeT5061eg+UqkUU6ZMAQBUVlYKIYhaptFohOvbv39/DB8+3Oh+w4cPR2hoKABg79690LhJOdro0aOF1xcvXmy2ndevZbqp/7q6OoPv87oZWrZsGVQqFR5++OFWi4IBXr+2Euv1Y6hxEceOHQMA+Pr6YsiQISb3GzVqlPD6hx9+aPdxicGlS5eE2hL962eM7gP+8uXLuHTpUruPzRnoz/gZKxTk9TOtsLAQp06dAgBhxkaH1+13u3fvxnfffYeuXbvib3/7m1nv4fVrG7FeP4YaF1FYWAgACA4OhoeH6fpu/X84de+hlulfp1s/eG6lv/3s2bPtNiZnon/bxNj14fUzVFNTg6KiIqSnp2P27NloamoCAMyePdtgP143revXr+Ott94CACxevBgBAQFmvY/X73f/+c9/MHHiRAwbNgxRUVG477778OKLL+LIkSMm3yPW68fVTy6grq4OFRUVAIDevXu3uK+fnx98fX2hUqlw+fJlewzP5ZWWlgqvW7u++tv13ydWarUaa9euFb6ePHlys314/YCMjAwkJyeb3C6Xy/HQQw8ZfI/XTSs1NRVXrlwReiKZi9fvd2fOnDH4+vz58zh//jy2b9+O8ePH4+2330bnzp0N9hHr9WOocQHV1dXCa19f31b39/HxgUqlgkqlas9hiYYl11d/aaQ7XN8NGzYgNzcXADBhwgRERkY224fXz7Q//OEPWLZsGW6//fZm23jdtLfVP//8c3h4eFjcB4XXT/tzjRs3DrGxsQgNDUXHjh1RXl6OnJwcbN68GdeuXcPevXsxf/58pKWlGRRfi/X6MdS4AP0CQ3NWBOgapNXW1rbbmMTEkuur33xO7Nc3JydH6EvTrVs3LF261Oh+vH7aVU5Dhw4FoP25Ll68iK+//hp79uzB4sWL8fLLL2Ps2LEG73H361ZfX4/XXnsNGo0Gc+bMMbuRnI67Xz9A2wW4S5cuzb4/ZswYzJo1C0899RR+/vln5OTk4LPPPjO4BSrW68eaGhfQoUMH4bU5y7Tr6+sBoNnyPDLOkuuru7aAuK9vQUEBFixYgMbGRnh5eeEf//iHySXzvH5Aly5dEBERgYiICAwbNgwPPPAAPvroI7zzzju4ePEi5s+fj4yMDIP3uPt1W7NmDQoLC9G3b18sWLDA4ve7+/UDYDTQ6HTv3h0ffvihEFg++eQTg+1ivX4MNS5AvzOwOVN/NTU1AMy7VUWWXV/dtQXEe30vXrwIuVyOyspKyGQyvP/++wbLum/F62falClTMGnSJKjVaixfvhyVlZXCNne+boWFhVizZg0AYMmSJVb9TO58/czVr18/jBkzBoC2zka32gkQ7/Xj7ScX0KFDB/j7+6OioqLV4t/Kykrhf9DWir9IS/86tXZ99bf36dOn3cbkKGVlZZg7dy5+/fVXSCQSvPXWW5gwYUKL7+H1a9m9996Lr7/+GiqVCgcPHsSf/vQnAO593f7v//4PDQ0N6NevH2pra7Fr165m+xQUFAivjxw5gt9++w0AMHbsWPj6+rr19bPEgAEDkJmZCUD797tXr14AxPv/H0ONixgwYACOHTuGCxcuoLGx0eSybv3ldrruwtSysLAw4XVryxX1t7e2DNLVlJeXQy6XCw32Xn31VaGZY0t4/Vqmv0S5pKREeO3O1013O+PixYt44YUXWt3/448/Fl7v27cPvr6+bn39LGGqWZ5Yrx9vP7mI6OhoANppwpMnT5rcT7+nyIgRI9p9XGIQFBSEnj17AjDeyl6fbnuvXr0QFBTU7mOzlxs3biAhIUFYGrpo0SLMmDHDrPfy+rVMf8pff+qe161teP3Mo9+PRjdLA4j3+jHUuIjx48cLr7/44guj+6jVamzfvh2AtoDMnFbjpO2Se++99wLQ/kZy/Phxo/sdP35c+I3l3nvvtWj5qTOrqalBYmKiEJaffvppJCYmmv1+d79+rdF/XlZERITw2p2v29tvv438/PwW/9MvHt64caPwfd2HqjtfP3NdvHgR33//PQBtfY1+qBHr9WOocRHDhg3DyJEjAWhDzU8//dRsn7S0NCGVz54926zl36Q1Z84c4Zbe8uXLmy1brK2txfLlywEAHh4emDNnjt3H2B7q6+uxYMEC/PjjjwC0/988//zzFh/HHa9fRkZGs+c53WrDhg04cOAAACAwMFCYcdVxx+tmS+58/fbv3y88jNKY3377DX/961+FlU3GZl7FeP1YU+NCXnnlFUybNg21tbWQy+V4+umnERMTg9raWuzevRtbtmwBAISEhGDu3LkOHq396GqNdHTdlwFtxf+tS2kfeeSRZscIDQ2FXC7H2rVr8b///Q/Tpk3DU089hX79+uHixYtYt24dfv75ZwCAQqFASEhI+/wwdrZo0SIcPnwYAHDHHXfg0UcfxenTp03u7+npKTzcTp87Xj/dku377rsP0dHR6NevHzp27IiqqiqcPn0aO3fuFMKip6cn3njjjWa1cO543WzJna/fG2+8gYaGBkycOBHDhw9HYGAgvL29UVFRgezsbKH5HqAtXzAWasR4/SQaZ3/kJhnYv38/kpKSUFVVZXR7SEgI1q5di9tuu83OI3Ocl156CV9++aXZ++fn5xv9vlqtxpIlS0ze3gOARx99FMuXL4dUKo5JTksbngUGBmL//v1Gt7nb9Rs3bhyKi4tb3a9379546623hKW1t3K362aulStX4qOPPgKgvf1k6na6u14/c///mzhxIt544w2TPW3Edv0YalxQcXExNm7ciMzMTJSVlcHT0xPBwcGYNGkSZs6cadDS2h3YKtToHDhwAFu2bEFeXh4qKirg7++PyMhIPPHEE7jnnnvaOlynYstQo+Mu1+/ChQv4/vvvkZ2djcLCQly9ehXXrl2Dl5cXunfvjj/84Q/44x//iMmTJ5v1d9Jdrpu5zA01Ou52/XJycpCTk4Pjx4/j4sWLuHbtGqqqqoTl7lFRUXj44YcRFRVl1vHEcv0YaoiIiEgUnH8uiYiIiMgMDDVEREQkCgw1REREJAoMNURERCQKDDVEREQkCgw1REREJAoMNURERCQKDDVEREQkCgw1REREJAoMNURERCQKDDVEREQkCgw1REREJAoMNURERCQKDDVEREQkCgw1REREJAr/H7IbKe6eIciOAAAAAElFTkSuQmCC\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# FOR linear regression \n", + "\n", + "import scipy as sp\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib\n", + "\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 10\n", + "plt.rcParams['ytick.major.width'] = 3\n", + "plt.rcParams['xtick.major.width'] = 3\n", + "matplotlib.rc('xtick', labelsize=20) \n", + "matplotlib.rc('ytick', labelsize=20) \n", + "\n", + "for rat in ['pippin','tonks','ginny','ron','molly','arthur']:\n", + " if rat == 'pippin':\n", + " session_list = pippin_session_list_content\n", + " target_list = pippin_target_list_content\n", + " title = 'Rat 1'\n", + " elif rat == 'tonks':\n", + " session_list = tonks_session_list_content\n", + " target_list = tonks_target_list_content \n", + " title = 'Rat 2'\n", + " elif rat == 'ginny':\n", + " session_list = ginny_session_list_content\n", + " target_list = ginny_target_list_content \n", + " title = 'Rat 3'\n", + " elif rat == 'ron':\n", + " session_list = ron_session_list_content\n", + " target_list = ron_target_list_content \n", + " title = 'Rat 4'\n", + " elif rat == 'molly':\n", + " session_list = molly_session_list_content\n", + " target_list = molly_target_list_content \n", + " title = 'Rat 5'\n", + " elif rat == 'arthur':\n", + " session_list = arthur_session_list_content\n", + " target_list = arthur_target_list_content \n", + " title = 'Rat 6'\n", + " \n", + " # linear regression\n", + " print(rat)\n", + " print(sp.stats.linregress(session_list,target_list))\n", + " [a,b,c,d,e] = sp.stats.linregress(session_list,target_list)\n", + "\n", + " fig, ax = plt.subplots()\n", + " fig.set_size_inches(6,4)\n", + " ax.scatter(session_list,target_list,s=25,c='k')\n", + " # purple: #950095, orange: #F7941E, grey: #858483, pink: #ef94f7, blue/purp: #525fab\n", + " # regression line\n", + " ax.plot(np.arange(0,session_list[-1])*a+b,color='#F7941E',linewidth=3)\n", + "\n", + " ax.spines['top'].set_visible(False)\n", + " ax.spines['right'].set_visible(False)\n", + " ax.spines['bottom'].set_color('black')\n", + " ax.spines['left'].set_color('black')\n", + " ax.tick_params(labelbottom=True, labeltop=False, labelleft=True, labelright=False,\n", + " bottom=True, top=False, left=True, right=False)\n", + " ax.locator_params(nbins=10, axis='x')\n", + "\n", + " # change thickness spines\n", + " for axis in ['top','bottom','left']:\n", + " ax.spines[axis].set_linewidth(2)\n", + " for axis in ['top']: \n", + " ax.spines[axis].set_linewidth(0)\n", + " ax.set_title(title)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 397, + "id": "62427ef3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "LinregressResult(slope=0.0015146835985223202, intercept=-0.03895964862428713, rvalue=0.023742046939676884, pvalue=0.7121200851688958, stderr=0.004099903581103438, intercept_stderr=0.12349347122941678)\n" + ] + }, + { + "data": { + "text/plain": [ + "(-2.2, 4.5)" + ] + }, + "execution_count": 397, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# zscore each array - combined plot\n", + "\n", + "all_end_zscore = np.concatenate([\n", + " sp.stats.zscore(pippin_target_list_content),sp.stats.zscore(tonks_target_list_content),\n", + " sp.stats.zscore(ginny_target_list_content),sp.stats.zscore(ron_target_list_content),\n", + " sp.stats.zscore(molly_target_list_content),sp.stats.zscore(arthur_target_list_content),])\n", + "all_rats_session = np.concatenate([pippin_session_list_content,tonks_session_list_content,\n", + " ginny_session_list_content,ron_session_list_content,\n", + " molly_session_list_content,arthur_session_list_content])\n", + "\n", + "print(sp.stats.linregress(all_rats_session,all_end_zscore))\n", + "[a,b,c,d,e] = sp.stats.linregress(all_rats_session,all_end_zscore)\n", + "\n", + "# plot combined graph\n", + "\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 10\n", + "plt.rcParams['ytick.major.width'] = 3\n", + "plt.rcParams['xtick.major.width'] = 3\n", + "\n", + "fig, ax = plt.subplots()\n", + "fig.set_size_inches(8, 5)\n", + "#plt.figure()\n", + "#plt.figure(figsize=(3,3))\n", + "ax.scatter(all_rats_session,all_end_zscore,s=25,c='k')\n", + "# purple: #950095, orange: #F7941E, grey: #858483, pink: #ef94f7, blue/purp: #525fab\n", + "# regression line\n", + "ax.plot(np.arange(0,session_list[-1])*a+b,color='#F7941E',linewidth=3)\n", + " \n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.spines['bottom'].set_color('black')\n", + "ax.spines['left'].set_color('black')\n", + "ax.tick_params(labelbottom=True, labeltop=False, labelleft=True, labelright=False,\n", + " bottom=True, top=False, left=True, right=False)\n", + "ax.locator_params(nbins=10, axis='x')\n", + "\n", + "# change thickness spines\n", + "for axis in ['top','bottom','left']:\n", + " ax.spines[axis].set_linewidth(2)\n", + "for axis in ['top']: \n", + " ax.spines[axis].set_linewidth(0)\n", + "\n", + "# increase tick width\n", + "ax.tick_params(width=2)\n", + "\n", + "plt.ylim(-2.2,4.5)\n" + ] + }, + { + "cell_type": "markdown", + "id": "b7581bec", + "metadata": {}, + "source": [ + "## Figure S5" + ] + }, + { + "cell_type": "code", + "execution_count": 388, + "id": "d854eebf", + "metadata": {}, + "outputs": [], + "source": [ + "# load remote fraction dict\n", + "file = open('/stelmo/mcoulter/coulter_all_figures/remote_fraction_dict_no_trigger.pkl','rb')\n", + "remote_fraction_dict = pickle.load(file)\n", + "file.close()\n", + "\n", + "ron_head_dir_target = remote_fraction_dict[1]\n", + "ron_content_target = remote_fraction_dict[2]\n", + "tonks_head_dir_target = remote_fraction_dict[3]\n", + "tonks_content_target = remote_fraction_dict[4]\n", + "arthur_head_dir_target = remote_fraction_dict[5]\n", + "arthur_content_target = remote_fraction_dict[6]\n", + "molly_head_dir_target = remote_fraction_dict[7]\n", + "molly_content_target = remote_fraction_dict[8]\n", + "ginny_head_dir_target = remote_fraction_dict[9]\n", + "ginny_content_target = remote_fraction_dict[10]\n", + "pippin_head_dir_target = remote_fraction_dict[11]\n", + "pippin_content_target = remote_fraction_dict[12]" + ] + }, + { + "cell_type": "code", + "execution_count": 324, + "id": "8e204ae2", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "09-Dec-24 23:54:43 Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n", + "09-Dec-24 23:54:43 Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n" + ] + }, + { + "data": { + "image/png": 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JjzzyiF555ZVChe5btmzRb7/9JkkymUz67LPPcgTiktS7d2999NFHhaqZkpLi7KltMpn0+eefa8iQIbk+3i5duig8PNz5/Wv27NnZ3hGQG4vFou7du+vjjz/O8b3RaDQW6UWkuLg4zZo1S5LjuZ07d67uu+++XL8P3nPPPZo+fbrz4xkzZuRocXX33Xc7v0ceOHBA0dHR+V7/+++/d97ObZW4zWbT1KlTZbPZJDlW4T/33HO5vpDUvHlzzZkzR9WqVZPkeIHizJkz+V4/IyNDoaGh+s9//pMtEJckHx8fvfjii86vO7vdrjVr1uRbDwAAlC2E4gAAoEyqV6+eM8jav3+/UlJSCjzH399fL7zwgkvX8fX11cSJE/M83rt372zBV8uWLfNdtZ51deX+/ftdmsu1zGaz5s+fL8kRjL3xxht59uTN9Le//c0Z1mcNpfLy6KOP5hpCZnrggQec14yOjs71/8P333/vXOl70003aeTIkXnWa9CggXMjxrLG19c339Yv/v7+6tu3r/Pj3P7/2+12LVmyxPnx6NGjddNNN+VZ86677sr2gkVhX+goSaNHj3Zbf/Nly5Y5bw8fPjzHhrZZDRkyJM+NILNavny58/b999+f6wrlTD169CjURqbLli3T5cuXJTk2cOzUqVO+45s0aeJ8gerSpUv65ZdfCrzGK6+8UmCbFVd8/fXXzhXmI0eOVJMmTfId37VrV2fP9uPHj+vgwYPZjgcGBqpXr17Oj/P7/pKcnJztRaHcQvFNmzYpJibGee282qtkqlGjhvN7h9ls1tq1a/MdL0kvv/xynt8zDQaDBg4c6Pz4wIEDBdYDAABlB6E4AAAotU6dOqUffvhBn332mT744AO99dZbevPNN53/4uLiJDmCxMOHDxdYr1u3bqpUqZJLc+jUqZNz9WFu/P391aBBA+fHd999d771mjZt6rx97QZ/rjpw4ICzT3W7du3yDQwz1apVS40bN5Yk/f77784gLy/33HNPvseDgoJUv359SY7/D5l9eLPavn278/a9995b4KrWstqTt2PHjqpRo0a+Y1q0aOG8ndv//+PHjztb4RiNxkI9F4MGDXLezm2j1evJYDDkaKtRVCkpKTp06JDz4379+uU73mg0FjhGyv4cFWb8/fffX+CYn3/+2Xk76wsf+cna0z9z5XpeQkJCCgytXbVlyxbnbXfNOWtwnV8o/sMPPzg39Wzfvr3ze0hWJf2c1q9fX61atcp3TNav18yfNwAA4MZAT3EAAFDq7N69W//85z+1c+fOHG/Rz0tiYmKBY1q2bOnyXIKDgwsck3VzyYLGZx1bmNXt+dmzZ4/zdmJiot58881CnZcZhNvtdp09ezbPzTGl7CF+XrK2CklOTs5xPOsLFm3bti2w3s0336zKlStn2wSxLHDHc5V19W3jxo0Ltcljhw4dnLfPnz+vs2fP5mgHcb3UrVs3R+uYojp8+LCzdUZQUJDzxZz85NZmJqszZ85k+15R0PjCjsncRFeSvv32W23YsKHAc7K29zh9+nS+Y4vyvSs/iYmJzlXYkmMzy8Jsgnrs2DHn7dzm3L17d1WtWlUJCQk6efKk9uzZo3bt2uUYt3LlSuftvFaAZ31Of/rpp2wvkOQl69dUQc+pq1+vxf1+DQAAShdCcQAAUKp88803mjx5cqHD8ExXrlwpcExRWjoUtBGlpGxvvw8KCir0WIvF4vJ8sjp37pzzdnR0dIE9fHOTudFdXgrz+LOu/M7tMSUkJDhvZ/bULkidOnXcEopv2bIl24rY3Dz55JNq2LBhsa/l6udKQc9Vfm1Tsqpevbr8/f2dK28TExM9Foq7q22KpGz//2vXrl2ocwp63FkD8fLlyxcqwC+o5pUrV7J9//nuu+8KrHmtgt6x4c7nVZLz3QiZFixY4HKN3Obs4+Oj++67z7nPw/fff58jFD9z5ox27twpyfG949577821ftbvb4V5kaEw88vKHV+vAACg7CIUBwAApcbx48c1ZcoUZyAeEhKiQYMGOVuDBAYGOjenk6RJkyZpxYoVkuRcUZqfcuXKuTynwqyeLM744shtpbGrMnsK58Udjyc1NdV5+9rNSvNS2HEF2bdvn7Pvel769OnjllDcU89V5tjMULwwLxCVlKJ8jeUl6+MobN2CnrOSqOmOFcQFfR2683mVSvZ7R//+/Z2h+Jo1a3L07f7++++d369vu+22PN8NUdzn9Xp8bwMAAGUXoTgAACg15syZ41yN16NHD3366af59p/2ZPhXGmQN64YNG6ZXXnnFg7PJW0BAgDOEu3r1aqHOKey4G01AQIDztivPQdaxgYGBbp2Tp2R9LjI3ai1IQc9ZSdS8NjTfuXNnoVYhe1LW56FixYqKiopyW+22bduqYcOGiomJUUJCgiIjI9WjRw/n8ay9xvPbPLN8+fLO7xvfffddvhv+AgAAuIqNNgEAQKmxdetW5+1x48YVuCFjcTeqLOuqV6/uvB0bG+vBmeQva+uHgvr8ujquIGPHjtWRI0fy/de5c2e3XMsdivJcXbx40blKXFKh+pCXBVkfx9mzZwt1TkHjsta8evVqge2DClOzYsWK8vPzc36ctVd3aZV18+DLly9na9vjDlk3J83aP/zo0aM6cuSIJEerqV69ehVqjmXhOQUAAGULoTgAACg1svaQveWWW/Idm5ycrKNHj5b0lEq1Nm3aOG/v2LFDGRkZHpxN3rKu8My6OWheYmNjy9wmm+7SokUL5+0TJ04U6nnYtWuX83aNGjWK1U+8NLWUaNasmXM+ycnJOnHiRIHn7N+/P9/jderUydZHfN++fcWuKWX/WoyIiChwvKfVrFkzW896d8856wrwTZs2OdsCZQ3I+/Tpk60d1rWybspbmp/T0vQ1AwAACo9QHAAAlBpG45+/mhTUsmDp0qUym80lPaVSrWPHjqpYsaIkRy/qJUuWeHhGucu6Envt2rUF/n/L7BPvjZo0aaIaNWpIcvREzhoi5mXZsmXO28Vd9Z41pPT011dQUFC2FwlWrVqV73ibzVbgGEkKCwsrdE0pe7uPvNxxxx3O24sWLcq2cr+0ytrS5KuvvnJ5c+P8NGjQwLnBZmpqqjZs2CC73a7Vq1c7x+TXOkXK/pyuWrVKFy9edNv83Kk0fc0AAIDCIxQHAAClRv369Z23N27cmOe4mJgYzZgx43pMqVTz8/PTsGHDnB//61//crYmKIwLFy6UxLRyuP/++50bBZ4+fVqzZ8/Oc+zJkyf11VdfXZd5lUYGg0GPPPKI8+NPP/003/YdP/30kzZv3uz8ePDgwcW6fsWKFZ0vTiUkJHg85Bs4cKDz9pw5c/JtmbRw4UJFR0e7VPP777/Pd7X4li1bFBkZWWDNwYMHO1+gOnPmjKZOnVrokDkhIaHATSFLwlNPPSWTySRJOnDggEvfU8+fP1/gmKyh98qVKxUVFaVTp05JkmrXrp3txYnc9OnTRzfffLMkx4ukL7zwQqE/H69cuZJt09qSVNq+ZgAAQOEQigMAgFIj68rAadOm6ZdffskxZuvWrXriiSd05cqVbJvFeasRI0Y4W81cuXJFjz32mJYsWZJnK5XExEQtXbpUAwcO1BdffHFd5lixYkU99dRTzo///e9/Kzw8XDabLdu4gwcP6qmnnlJqamqB/eRvZMOGDXO2QLl06ZKGDRumQ4cO5Ri3Zs0aTZgwwflxz5491alTp2Jd28/PTw0bNpQkWSwWrV+/vlj1iuuhhx5SvXr1JDk+v5966ikdPnw4x7glS5bo3XffzdbbOy89evRQ+/btJTlW448aNUrbt2/PMW7Dhg2aMGFCoWpWqFBBL7/8svPj5cuXa9SoUTp+/Hiu4+12u3bv3q0333xTvXr1KvSmn+7UoEEDPffcc86PZ8yYoUmTJunMmTO5jrdarfr111/14osvasCAAQXWv++++5xfx1u3blV4eLjzWL9+/bK9Myg3JpNJU6dOdQb3kZGRGjp0aL4vYhw+fFj//Oc/1bNnT8XFxRU4R3cobV8zAACgcHw8PQEAAIBMw4cP1zfffKOEhAQlJSVp5MiRatmypZo0aSKDwaCDBw/q999/lyR1795d1apV03fffefhWXtWYGCg/vOf/2j48OGKi4tTSkqKXnvtNX3wwQdq166datWqJYPBoKSkJB0/flzR0dHOMPp6bjD53HPP6ddff9WePXtkt9s1bdo0zZkzR6GhoSpXrpxOnDih3bt3y263q3fv3rp8+bJ27Nhx3eZXmlSqVEn//Oc/9cwzz+jq1auKjo7WgAED1LZtWzVp0kRms1n79u3Ltvlgw4YN9e6777rl+nfffbc+++wzSdKLL76ob7/9Vg0aNMj2QsVLL73klmsVpHz58po2bZqeeuopZWRkKCYmRg8++KDatWunxo0bKz09Xbt373auIH/11Vf1zjvvSMq717PRaNQ777yjxx57TJcuXdLFixf15JNPqmXLlgoJCZHNZtOBAwd07NgxSdLkyZP19ttv51tTcqxA/+OPPzRz5kxJjlX8W7Zs0S233KKmTZsqMDBQV69e1dmzZ3Xo0CFdvnzZbc9TUY0ZM0bx8fHOlkUrVqzQypUr1bx5czVu3FgBAQFKSUnRqVOndPjwYefq66x92fNSpUoVde/eXZs3b5bFYtGmTZucxwpqnZLp1ltv1dSpUzV16lRZrVbt2bNHgwYNUsOGDdW8eXNVrFhR6enpunDhgg4dOuSxFiul6WsGAAAUDqE4AAAoNapVq6aZM2fqueeeU2JioiTpf//7n/73v/9lG9e7d29NmzbNGX55u/r162vZsmWaMmWKfvzxR9ntdiUnJ+e60j5TxYoV1bRp0+s2Rz8/P82ePVtjx47V1q1bJTnaTFzb07lHjx6aNm2aRo8efd3mVhp16tRJc+bM0cSJE/XHH3/Ibrdrz549uW5Ueuutt+qf//ynqlat6pZrP/PMM9qwYYOOHTsms9msLVu25BhzPQO+Tp066dNPP9ULL7ygS5c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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# makes nice bar plot\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patches\n", + "\n", + "sns.set_style(\"ticks\", {'axes.grid' : False})\n", + "\n", + "pippin_head_dir_plot = pippin_head_dir_target.copy()\n", + "pippin_content_plot = pippin_content_target.copy()\n", + " \n", + "tonks_head_dir_plot = tonks_head_dir_target.copy()\n", + "tonks_content_plot = tonks_content_target.copy()\n", + "\n", + "ginny_head_dir_plot = ginny_head_dir_target.copy()\n", + "ginny_content_plot = ginny_content_target.copy()\n", + " \n", + "ron_head_dir_plot = ron_head_dir_target.copy()\n", + "ron_content_plot = ron_content_target.copy()\n", + " \n", + "molly_head_dir_plot = molly_head_dir_target.copy()\n", + "molly_content_plot = molly_content_target.copy()\n", + " \n", + "arthur_head_dir_plot = arthur_head_dir_target.copy()\n", + "arthur_content_plot = arthur_content_target.copy()\n", + " \n", + "matplotlib.rcParams.update({'font.size': 20})\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 0\n", + "plt.rcParams['ytick.major.width'] = 2\n", + "\n", + "fig, ax = plt.subplots()\n", + "fig.set_size_inches(18,10)\n", + "\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.spines['bottom'].set_color('black')\n", + "ax.spines['left'].set_color('black')\n", + "ax.spines['bottom'].set_linewidth(2)\n", + "ax.spines['left'].set_linewidth(2)\n", + "\n", + "#ax.tick_params(axis='y',direction='out',length=6,width=2, colors='r')\n", + "#ax.yaxis.set_ticks([0,1,2])\n", + "\n", + "# note: for opposite arm:\n", + "#palette=['grey','silver']\n", + "\n", + "swarm = 1\n", + "\n", + "if swarm == 1:\n", + " swarm_ax = sns.stripplot(x=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(1,len(pippin_content_plot)),\n", + " \n", + " np.repeat(6,len(tonks_head_dir_plot)),\n", + " np.repeat(6,len(tonks_content_plot)),\n", + " \n", + " np.repeat(7,len(ginny_head_dir_plot)),\n", + " np.repeat(7,len(ginny_content_plot)),\n", + " \n", + " np.repeat(8,len(ron_head_dir_plot)),\n", + " np.repeat(8,len(ron_content_plot)),\n", + " \n", + " np.repeat(9,len(molly_head_dir_plot)),\n", + " np.repeat(9,len(molly_content_plot)),\n", + " \n", + " np.repeat(10,len(arthur_head_dir_plot)),\n", + " np.repeat(10,len(arthur_content_plot)),\n", + "\n", + " ]), \n", + " y=np.concatenate([pippin_head_dir_plot,\n", + " pippin_content_plot,\n", + " \n", + " tonks_head_dir_plot,\n", + " tonks_content_plot,\n", + " \n", + " ginny_head_dir_plot,\n", + " ginny_content_plot,\n", + " \n", + " ron_head_dir_plot,\n", + " ron_content_plot,\n", + " \n", + " molly_head_dir_plot,\n", + " molly_content_plot,\n", + " \n", + " arthur_head_dir_plot,\n", + " arthur_content_plot,\n", + " ]), \n", + " hue=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(2,len(pippin_content_plot)),\n", + " \n", + " np.repeat(1,len(tonks_head_dir_plot)),\n", + " np.repeat(2,len(tonks_content_plot)),\n", + " \n", + " np.repeat(1,len(ginny_head_dir_plot)),\n", + " np.repeat(2,len(ginny_content_plot)),\n", + " \n", + " np.repeat(1,len(ron_head_dir_plot)),\n", + " np.repeat(2,len(ron_content_plot)),\n", + " \n", + " np.repeat(1,len(molly_head_dir_plot)),\n", + " np.repeat(2,len(molly_content_plot)),\n", + " \n", + " np.repeat(1,len(arthur_head_dir_plot)),\n", + " np.repeat(2,len(arthur_content_plot)),\n", + "\n", + " ]), \n", + " palette=['grey','blue'], \n", + " #palette=['grey','silver'], \n", + " alpha=1,zorder=1,size=15,edgecolor='white',linewidth=1,dodge=True)\n", + "\n", + "t_ax = sns.boxplot(x=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(1,len(pippin_content_plot)),\n", + " \n", + " np.repeat(2,len(tonks_head_dir_plot)),\n", + " np.repeat(2,len(tonks_content_plot)),\n", + " \n", + " np.repeat(3,len(ginny_head_dir_plot)),\n", + " np.repeat(3,len(ginny_content_plot)),\n", + " \n", + " np.repeat(4,len(ron_head_dir_plot)),\n", + " np.repeat(4,len(ron_content_plot)),\n", + " \n", + " np.repeat(5,len(molly_head_dir_plot)),\n", + " np.repeat(5,len(molly_content_plot)),\n", + " \n", + " np.repeat(6,len(arthur_head_dir_plot)),\n", + " np.repeat(6,len(arthur_content_plot)),\n", + " ]), \n", + " y=np.concatenate([pippin_head_dir_plot,\n", + " pippin_content_plot,\n", + " \n", + " tonks_head_dir_plot,\n", + " tonks_content_plot,\n", + " \n", + " ginny_head_dir_plot,\n", + " ginny_content_plot,\n", + " \n", + " ron_head_dir_plot,\n", + " ron_content_plot,\n", + " \n", + " molly_head_dir_plot,\n", + " molly_content_plot,\n", + " \n", + " arthur_head_dir_plot,\n", + " arthur_content_plot,\n", + " ]), \n", + " hue = np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(2,len(pippin_content_plot)),\n", + " \n", + " np.repeat(1,len(tonks_head_dir_plot)),\n", + " np.repeat(2,len(tonks_content_plot)),\n", + " \n", + " np.repeat(1,len(ginny_head_dir_plot)),\n", + " np.repeat(2,len(ginny_content_plot)),\n", + " \n", + " np.repeat(1,len(ron_head_dir_plot)),\n", + " np.repeat(2,len(ron_content_plot)),\n", + " \n", + " np.repeat(1,len(molly_head_dir_plot)),\n", + " np.repeat(2,len(molly_content_plot)),\n", + " \n", + " np.repeat(1,len(arthur_head_dir_plot)),\n", + " np.repeat(2,len(arthur_content_plot)),\n", + " ]),\n", + " #capsize=0.1,errcolor='black',\n", + " linewidth=3, #facecolor=(1, 1, 1, 0),\n", + " palette=['grey','blue'],\n", + " #palette=['grey','silver'], \n", + " #errwidth=3,\n", + " zorder=2,showfliers=False,showcaps=False)\n", + "\n", + "for patch in t_ax.patches:\n", + " patch.set_alpha(0.5)\n", + " \n", + "ax.get_legend().remove()\n", + " \n", + "plt.ylim(0,0.08)\n", + "plt.title('arm end - no trigger event')\n", + "\n", + "#filename = '/cumulus/mcoulter/content_figures/plot_pdf/no_trigger_bar_new_S5.pdf' \n", + "#plt.savefig(filename, format=\"pdf\")" + ] + }, + { + "cell_type": "code", + "execution_count": 276, + "id": "32bfa78a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "arm end: content 1.900103632014736 head dir 1.0\n" + ] + } + ], + "source": [ + "# normalized lists - for bar plot visualization\n", + "# arm end\n", + "\n", + "arthur_content_end_norm = np.array(arthur_content_target)/np.mean(np.array(arthur_head_dir_target))\n", + "arthur_head_dir_end_norm = np.array(arthur_head_dir_target)/np.mean(np.array(arthur_head_dir_target))\n", + "\n", + "ginny_content_end_norm = np.array(ginny_content_target)/np.mean(np.array(ginny_head_dir_target))\n", + "ginny_head_dir_end_norm = np.array(ginny_head_dir_target)/np.mean(np.array(ginny_head_dir_target))\n", + "\n", + "tonks_content_end_norm = np.array(tonks_content_target)/np.mean(np.array(tonks_head_dir_target))\n", + "tonks_head_dir_end_norm = np.array(tonks_head_dir_target)/np.mean(np.array(tonks_head_dir_target))\n", + "\n", + "molly_content_end_norm = np.array(molly_content_target)/np.mean(np.array(molly_head_dir_target))\n", + "molly_head_dir_end_norm = np.array(molly_head_dir_target)/np.mean(np.array(molly_head_dir_target))\n", + "\n", + "ron_content_end_norm = np.array(ron_content_target)/np.mean(np.array(ron_head_dir_target))\n", + "ron_head_dir_end_norm = np.array(ron_head_dir_target)/np.mean(np.array(ron_head_dir_target))\n", + "\n", + "pippin_content_end_norm = np.array(pippin_content_target)/np.mean(np.array(pippin_head_dir_target))\n", + "pippin_head_dir_end_norm = np.array(pippin_head_dir_target)/np.mean(np.array(pippin_head_dir_target))\n", + "\n", + "# arm end\n", + "all_content_end_norm = np.concatenate([arthur_content_end_norm,molly_content_end_norm,\n", + " ron_content_end_norm,pippin_content_end_norm,\n", + " tonks_content_end_norm,ginny_content_end_norm])\n", + "\n", + "all_head_dir_end_norm = np.concatenate([arthur_head_dir_end_norm,molly_head_dir_end_norm,\n", + " ron_head_dir_end_norm,pippin_head_dir_end_norm,\n", + " tonks_head_dir_end_norm,ginny_head_dir_end_norm])\n", + "\n", + "print('arm end: content',np.mean(all_content_end_norm),'head dir',np.mean(all_head_dir_end_norm))\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 278, + "id": "0e44e8f6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'grouped: target, no trigger event')" + ] + }, + "execution_count": 278, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# summary bar plot\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patches\n", + "\n", + "matplotlib.rc('xtick', labelsize=20) \n", + "matplotlib.rc('ytick', labelsize=20) \n", + "matplotlib.rcParams.update({'font.size': 20})\n", + "\n", + "sns.set_style(\"ticks\", {'axes.grid' : False})\n", + "\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 0\n", + "plt.rcParams['ytick.major.width'] = 2\n", + "\n", + "all_content_end_norm \n", + "all_head_dir_end_norm \n", + "\n", + "fig, ax = plt.subplots()\n", + "fig.set_size_inches(6,8)\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.spines['bottom'].set_color('black')\n", + "ax.spines['left'].set_color('black')\n", + "ax.spines['bottom'].set_linewidth(2)\n", + "ax.spines['left'].set_linewidth(2)\n", + "\n", + "t_ax = sns.barplot(x=np.concatenate([np.repeat(1,len(all_head_dir_end_norm)),\n", + " np.repeat(1,len(all_content_end_norm)),\n", + "\n", + "\n", + " ]), \n", + " y=np.concatenate([all_head_dir_end_norm,\n", + " all_content_end_norm,\n", + "\n", + "\n", + " ]), \n", + " hue = np.concatenate([np.repeat(1,len(all_head_dir_end_norm)),\n", + " np.repeat(2,len(all_content_end_norm)),\n", + "\n", + "\n", + " ]),\n", + " capsize=0.1,errcolor='black',\n", + " linewidth=4, #facecolor=(1, 1, 1, 0),\n", + " palette=['grey','blue','white','grey','blue'],\n", + " errwidth=3,zorder=2)\n", + "\n", + "\n", + "for patch in t_ax.patches:\n", + " clr = patch.get_facecolor()\n", + " patch.set_edgecolor(clr)\n", + " patch.set_facecolor([1,1,1,0])\n", + "\n", + "ax.get_legend().remove()\n", + "plt.ylim(0,2.3)\n", + "plt.title('grouped: target, no trigger event')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 394, + "id": "3934c1e6", + "metadata": {}, + "outputs": [], + "source": [ + "# load remote linear regression dict - no trigger event\n", + "file = open('/stelmo/mcoulter/coulter_all_figures/remote_lin_regress_dict_no_trigger.pkl','rb')\n", + "remote_fraction_dict = pickle.load(file)\n", + "file.close()\n", + "\n", + "ron_session_list_content = remote_fraction_dict[1]\n", + "ron_target_list_content = remote_fraction_dict[2]\n", + "tonks_session_list_content = remote_fraction_dict[3]\n", + "tonks_target_list_content = remote_fraction_dict[4]\n", + "arthur_session_list_content = remote_fraction_dict[5]\n", + "arthur_target_list_content = remote_fraction_dict[6]\n", + "molly_session_list_content = remote_fraction_dict[7]\n", + "molly_target_list_content = remote_fraction_dict[8]\n", + "ginny_session_list_content = remote_fraction_dict[9]\n", + "ginny_target_list_content = remote_fraction_dict[10]\n", + "pippin_session_list_content = remote_fraction_dict[11]\n", + "pippin_target_list_content = remote_fraction_dict[12]" + ] + }, + { + "cell_type": "code", + "execution_count": 174, + "id": "a4136f80", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "pippin\n", + "LinregressResult(slope=0.004233532400093175, intercept=-0.0007855446230555715, rvalue=0.8987067195148991, pvalue=0.005935021360444064, stderr=0.000923887643567807, intercept_stderr=0.009179291516036496)\n", + "tonks\n", + "LinregressResult(slope=0.0002408463361968003, intercept=0.015681718323610414, rvalue=0.36846669267323684, pvalue=0.008465888440737321, stderr=8.770744003392292e-05, intercept_stderr=0.0025690944984579664)\n", + "ginny\n", + "LinregressResult(slope=0.00015451324448066797, intercept=0.011518101126542115, rvalue=0.3218465942115659, pvalue=0.03766138238234931, stderr=7.186895007115295e-05, intercept_stderr=0.002158006951611799)\n", + "ron\n", + "LinregressResult(slope=0.00028381122137261764, intercept=0.012468194142134842, rvalue=0.3626769329520594, pvalue=0.01554262751460115, stderr=0.0001125281694366136, intercept_stderr=0.0035932208556255507)\n", + "molly\n", + "LinregressResult(slope=-5.676342107981863e-05, intercept=0.020309693299229787, rvalue=-0.06633171492085961, pvalue=0.6471842117105409, stderr=0.00012324496460168106, intercept_stderr=0.0037667419643534635)\n", + "arthur\n", + "LinregressResult(slope=0.00010997151583376097, intercept=0.014432882260659974, rvalue=0.24988631037021397, pvalue=0.07698087868839275, stderr=6.087493466671253e-05, intercept_stderr=0.0018743154141716222)\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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CP82pcTjUzJo1C1lZWQgMDMT777+P4cOHmzy/YcMGrFq1CgDwzDPPWB0taU9WVhZmzZoFABg7dixWr16NgIAA4fmKigpMmzYNRUVFCA8Px4EDBxAWFmZyDr1eD5lMZjWlAkB2djYef/xxNDU1YfDgwdixY4fdbe0IQw0REXnKpk2boFKpJL/6yaGJwtnZ2cjKygIATJs2zSzQAK21IgYMGAAA2Lx5M5qamuy+zoYNGwAAAQEBePnll00CDQBERkZi0aJFAIDq6mps377d7BxyubzdQAMAKSkpuP322wEAZ8+eRV1dnd1tJSIi8lZpaWnIzc3F4sWL8cgjj2Dx4sXIzc2VVKABHAw1Bw8eFB5PmzbN8onlcmF+SnV1tRCCbFVXV4djx44BAH71q19ZncR7zz33IDQ0FADw5Zdf2nUNYwqFQnjc2Njo8HmIiIi8UXx8PFasWIEPP/wQK1askMwtJ2MOhZqTJ08CaA0CgwcPtnrcbbfdJjz+7rvv7LpGdna2EC5GjRpl9bjg4GBh9VNOTo5DI0Ll5eX49ttvAQARERGIiIiw+xxERETkWQ6tfrpw4QIAIDY2FoGB1k/Rv39/s9fY6qeffrJ4Hkv69euHo0ePorm5GZcuXbIpfTY2NqKkpATHjh3D+vXrUV1dDQCYPXt2h6+tqKjo8JgbWZqgRURERK5jd6hpaGhAZWUlAHS4r0t4eDgUCgW0Wi2uXr1q13WKi4uFxz179mz32N69e5u8zlqoOX78eLuh5be//S3S09M7bNvo0aM7POZGpaWldr+GiIiIbGd3qDGeRGs8D8Wazp07Q6vVQqvVuu06xhv82XsdAIiJicHy5ctx55132v1aIiIi8g4OjdS0CQoK6vD44OBgAIBOp3P4Om3n6OgaHV0nOTkZu3btAtB6+6m4uBiHDh3CZ599hqVLl+LZZ5+1uNcNEREReT+7Q02nTp2Ex7ZMym2b7BsSEuLwdTpajWT8fHvXUSgUSExMFP48ZMgQ3HPPPXjggQcwb948LFu2DCUlJQ7tqUNERESeZXeoMd4Z2JZbPfX19QBsu1Xl6HXaruHIdYDWOTKzZ8/Ghg0bsHr1akyePFnYY8eStqXm9hgyZIjJPCEiIiJyLYdGaiIiIlBZWdnh5N/q6mohkNhbLNL4+JKSEiQnJ1s91jgsGE8atsf48eOxYcMG6PV67N+/v91QExkZaff55XIWRCciInInh/6lbfsH//Lly2hubrZ6nPGy7PZCQnvXuPE8lly8eBEAEBgYiNjYWLuu08Y4qBQVFTl0DiIiIvIch0LNiBEjALTeFjp79qzV406cOCE8vvXWW+26RnJysjARub3diBsbG3H69GnhNR1NKrampKREeOzILSwiIiLyLIdCzYQJE4THn3zyicVj9Ho9du7cCQAICwtDamqqXdcIDQ0V9oM5duyY1Vtd+/fvR21trVm77PXf//5XeGw8mZiIiIh8g0OhJiUlBSNHjgTQGmpOnTpldkxGRoawi/Ds2bPNln/v2LEDAwcOxMCBA/HOO+9YvI5SqQQANDc3Y/ny5WhpaTF5vqKiAm+99RaA1uBkaTn27t27ce3atXb/Pnv37sXWrVsBAF27dsW4cePaPZ6IiIi8j0NlEgDgxRdfxPTp06HT6aBUKjF//nykpqZCp9OZhIS4uDjMnTvXoWuMHj0a9913H/bs2YNDhw5h7ty5mDNnDnr06IHz589jzZo1wvyXhQsXIjw83OwcW7duxUsvvYQJEybgtttuQ79+/dC1a1dotVpcvHgR+/btw+HDhwEAMpkML774Irp16+ZYpxAREZHHOBxqBg0ahH/84x9YvHgxamtr8fe//93smLi4OKxbt06oou2I119/HbW1tTh8+DCOHz+O48ePmzwvl8vx1FNP4bHHHrN6Dq1Wi88//xyff/651WPCw8OxbNkyPPDAAw63lYiIiDzH4VADAOPGjcPnn3+OzZs3IzMzEyUlJQgKCkJsbCwmTZqEmTNnmpQwcERISAjWrVuHXbt24dNPP8W5c+dQU1OD6OhojBgxAjNnzsTw4cOtvv6tt97CN998g+PHjyM3NxdlZWWorKxEUFAQIiIikJiYiDvvvBP333+/xZEeIiIi8g0yg8Fg8HQj/EGfPn1QWFiImJgYFBQUeLo5REREksMd4YiIiEgSGGqIiIhIEhhqiIiISBIYaoiIiEgSGGqIiIhIEhhqiIiISBIYaoiIiEgSGGqIiIhIEhhqiIiISBIYaoiIiEgSGGqIiIhIEhhqiIiISBIYaoiIiEgSGGqIiIhIEhhqiIiISBIYaoiIiEgSGGqIiIhIEhhqiIiISBICPd0AIiIif6HRaJCRkYH8/HzExcVBqVQiISHB082SDJnBYDB4uhH+oE+fPigsLERMTAwKCgo83RwiIhLZxo0bkZ6eDplMBoPBIHxVq9VIS0vzdPMkgaFGJAw1RET+S6PRICkpCXq93uw5uVyO3NxcxMfHe6Bl0sI5NURERG6WkZEBmUxm8TmZTAa1Wi1yi6SJc2qI/Azv6ROJLz8/H9ZujBgMBuTn54vbIIliqCHyI5bu6a9cuZL39IncLC4urt2Rmri4OHEbJFGcUyMSzqkhT+M9fSLP4e+fODinhshP8J4+keckJCRArVZDLpcjICDA5KtarWagcRHefiLyE7ynT+RZaWlpGDNmDNRqtTCnTaVSMdC4EEMNkZ/gPX0iz4uPj8eKFSs83QzJ4u0nIj+hVCrbHalRqVQit4iIyLUYaoj8BO/pE5HUcfWTSLj6ibxFXl4e7+kTkSQx1IiEoYaIiMi9ePuJiIiIJIGhhoiIiCSBS7qJvAxrMxEROYZzakTCOTVkC0u1mQwGA2szEbkIPzRIG0ONSBhqqCOsDUPkXvzQIH2cU0PkJVibich9NBoN0tPTodfr0dLSYvJVpVIhLy/P000kF2CoIfISrM1E5D780OAfGGqIvARrMxG5Dz80+AeGGiIvwdpMRO7DDw3+gaGGyEuwNhOR+/BDg3/gPjVEXiQtLQ1jxoxhbSYiF2v70KBSqSyufuLvmDRwSbdIuKSbiMjzWNBV2hhqRMJQQ0RE5F68/URkJ+5ISkTknThSIxKO1EgDdyQlIvJeDDUiYajxfSxjQETk3bikm8hG3JGUiMi7MdQQ2Yg7khIReTdOFCav460TcbkjKRGRd+OcGpFwTo1tvHkiLufUEBF5N95+Iq+h0WiQnp4OvV6PlpYWk68qlQp5eXkebR/LGBAReTfefiKvYctE3BUrVojcKlMsY0BE5L0Yashr+MpE3Pj4eI+HKyIiMsfbT+Q1OBGXiIicwVBDXkOpVLY7UqNSqURuERER+RKGGvIanIhLRETO4JJukXBJt+3y8vI4EZeIiOzGUCMShhoiIiL34u0nIiIikgSGGiIiIpIEhhoiIiKSBIYaIiIikgTuKExEROQiGo0GGRkZwupNpVKJhIQETzfLb3D1k0i4+omISNo2btyI9PR0yGQyGAwG4atarUZaWpqnm+cXGGpEwlBDRCRdGo0GSUlJ0Ov1Zs/J5XLk5uZyvy0RcE4NERGRkzIyMtqtXadWq0VukX9iqCEiInJSfn5+u7Xr8vPzxW2Qn2KoISIiclJcXFy7IzVxcXHiNshPMdQQERE5SalUtjtSo1KpRG6Rf2KoISIiclJCQgLUajXkcjkCAgJMvqrVak4SFglXP4mEq5+IiKQvLy8ParVa2KdGpVIx0IjI6VBTVFSELVu2IDMzE8XFxQgODkZsbCwmT56Mxx9/HJ07d3ZJQ/fs2YMdO3YgNzcX1dXV6N69O0aMGIEZM2Zg2LBh7b72p59+wpEjR5CVlYVz586hrKwMMpkMUVFRSElJwZQpU3DXXXdZvR/qCgw1RERE7uVUqMnMzMSiRYtw7do1i8/369cP69evR9++fR1uYENDA5599ll89dVXFp+Xy+VYsGABnn76aYvPL1myBDt37uzwOmPGjME//vEPhIWFOdzW9jDUEBERuZfDoebcuXN47LHHUF9fD4VCgSeffBKpqanQ6XTYu3cvtm3bBgDo378/tm/fji5dujjUwIULF2L37t0AgNTUVMyePRs9evTA+fPnsXbtWly+fBkA8Oqrr+Lhhx82e31aWhqOHTuGbt26YeLEiRg1ahRiYmIQEBCAH3/8ERs3bsTFixcBACNGjMD7778Pudz1U40YaoiIiNzL4VAza9YsZGVlITAwEO+//z6GDx9u8vyGDRuwatUqAMAzzzyDBQsW2H2NrKwszJo1CwAwduxYrF69GgEBAcLzFRUVmDZtGoqKihAeHo4DBw6YjbS88MILGD58OKZOnYrg4GCza9TX10OlUuG7774DALz55puYMmWK3W3tCEMNkX9g7R8iz3FoSCI7OxtZWVkAgGnTppkFGqB1eduAAQMAAJs3b0ZTU5Pd19mwYQMAICAgAC+//LJJoAGAyMhILFq0CABQXV2N7du3m53jjTfewKOPPmox0ABA586d8fLLLwt/3rdvn93tJCICWmv/JCUlYdWqVdi2bRtWrVqFpKQkbNq0ydNNI/ILDoWagwcPCo+nTZtm+cRyuTDiUV1dLYQgW9XV1eHYsWMAgF/96lfo1auXxePuuecehIaGAgC+/PJLu67RJjExEREREQCAK1euOHQOIvJvGo0G6enp0Ov1aGlpMfmqUqmQl5fn6SYSSZ5DoebkyZMAAIVCgcGDB1s97rbbbhMet93esVV2djYaGxsBAKNGjbJ6XHBwsLD6KScnx6ERIQDC69y5AoqIpIu1f4g8L9CRF124cAEAEBsbi8BA66fo37+/2Wts9dNPP1k8jyX9+vXD0aNH0dzcjEuXLtm9J8APP/yA2tpam64FtM7lsZelyq1EJB2s/UPkeXaHmoaGBlRWVgKA1VtCbcLDw6FQKKDVanH16lW7rlNcXCw87tmzZ7vH9u7d2+R19oaaNWvWCI8nT57c4fGjR4+26/wAUFpaavdriMh3sPYPkefZffuprq5OeKxQKDo8vm3zPa1W67brGG/wZ+919u3bJ0wOHjx4MCZOnGjX64mIANb+IfIGdoeahoYG4XFQUFCHx7etOtLpdA5fx9rKJUvP23OdCxcuYOnSpQCAkJAQrFy5knNqyGkajQZLly7F9OnTsXTpUmg0Gk83iUTA2j9Enmf37adOnToJj22ZlNs22TckJMTh67Sdo6Nr2HOdkpISPPHEE6irq4NMJsNrr73GNx1y2saNG5Geng6ZTAaDwQCZTIaVK1dCrVYjLS3N080jN0tLS8OYMWNY+4fIQ+wONcY7A9tyq6e+vh6AbbeqHL1O2zVsvU5VVRVUKhUKCwsBAC+++CLuv/9+m9vWttTcHkOGDDGZJ0TSY7yk90YqlQpjxozhP25+ID4+HitWrPB0M4hcQt+iR3VeNcrPlKPsdBnKzpRB36BH/KPxGPTEIE83z4xDIzURERGorKzscPJvdXW1EEg6mlR8I+PjS0pKkJycbPVY47BgPGnYktraWqSnpwu3BJ599llh12JbRUZG2nU8ALeUXiDvYsuSXv5jR0TeqvFaI8qzy1sDzJkylJ8pR3lOOZq1zWbHFhwsQLekbrjpzps80FLrHFrSPWDAAJw8eRKXL19Gc3Oz1WXdxsuy23YXtucals5jSVvtpsDAQMTGxlo9TqfT4fe//z1ycnIAtH56fuqpp+xqF5E1XNJLRL7AYDDg2qVrJuGl7HQZan6qses8NRdqpBFqRowYgZMnT0Kr1eLs2bMYOnSoxeNOnDghPL711lvtukZycjKCgoLQ1NSErKwszJs3z+JxjY2NOH36tPAaa5OKm5qa8Mwzzwg7Gz/22GP405/+ZFebiNrDJb1E5G2a65tRcbbCJLyUZ5ejsbr9uaodCesXhv4Pdryvm9gcCjUTJkzA2rVrAQCffPKJxVCj1+uxc+dOAEBYWBhSU1PtukZoaChGjx6NI0eO4NixY7h69arFW1j79+8XNs6bMGGCxXO1tLRg4cKFOHLkCADgd7/7nUm9JyJXUCqVWLlypcXnuKSXiNxNe1WLsjNlrcHll1GYqtwqGFocqlttQtFLgaihUYgeGo3oW6PR73f9EBjiUIRwK4dalJKSgpEjR+LkyZP45JNPMHXqVLOilhkZGcIuwrNnzzZb/r1jxw5hOfWCBQvwzDPPmF1HqVTiyJEjaG5uxvLly/Huu++aVel+6623ALQGp4cfftjsHAaDAcuWLRP2opk4cSJWrFjBpdvkcm1LelUqlcnqJ4PBwCW9ROQyLU0tqMqtEoJLW4ip/7m+4xd3QBYgQ0RSBKKGtQaYtiCj6GnfYh9PcThmvfjii5g+fTp0Oh2USiXmz5+P1NRU6HQ67N27F1u3bgXQOiQ/d+5ch64xevRo3HfffdizZw8OHTqEuXPnYs6cOejRowfOnz+PNWvWoKioCACwcOFChIeHm53jzTffxI4dOwC0Fq588sknOyzZkJiY6FB7ibikl4hcSVepM524e6YcFWcr0NLQ4vS5O0V0EkJL29eIQRFeOQJjK5nB2sxGGxw6dAiLFy8Wbv/cKC4uDuvWrcPNN99s9pwtIzVA6+TeP/zhDzh8+LDF5+VyOZ566imrrx83bpywdNtWubm5dh1viz59+qCwsBAxMTEoKChw+fmJiMh3GfQG1PxUYzL3pexMGWovW/731S4yIDw+3CS8RA2LQmifUMndtXAqjo0bNw6ff/45Nm/ejMzMTJSUlCAoKAixsbGYNGkSZs6caVLCwBEhISFYt24ddu3ahU8//RTnzp1DTU0NoqOjMWLECMycOdPs1hcRka/SaDTIyMgQRvqUSiUSEhI83Sxyoaa6JpTn3LB0OrscTbUdb2jbkcAugYhKjkL0MKMAkxyFoNCOKwBIgVMjNWQ7jtQQUUcs7UjdNieLO1L7HoPBgLrCOpN5L+VnylGlqQJc8C9vaN/Q65N3fwkx4QPCIZNLa/TFHgw1ImGoIaL2aDQaJCUlWdyRWi6XIzc3l3OzvFhLYwsqf6i8fvvolyDTUNHQ8Ys7IA+WI3JQZGuAGRYt3EYKibSv/JA/8N3ZQEREEsIdqX1HfVm9ybyX8jPlqPyxEvom80Bqr87dOyNqaJTJCEy3pG4ICAro+MXEUENE5A24I7X30bfoUa2pNhl9KT9djrqiOqfPLZPLEJ4YbjLyEj00GoreCslN3hUTQw0RkRfgjtSe1Vb3yHjjuoqcCjTXm9c9sldQ16DrweWXuS+RgyMRpPCPybti4pwakXBODRG1h3NqxHFj3aO2EGNv3SNrusZ1FZZMt90+6hrXlaMvIuFIDRGRF+CO1K7nrrpHABAQEoDIIZEmK4+iUqLQKbyTC1pOjuJIjUg4UkNEtsjLy+OO1HYyGAzQXtWajb5U5VbBoHdB3aPeCtON64ZGoVtiN8gD5S5oPbkSQ41IGGqIiJzX0tSCqnNVZpN360tdVPfolgizpdOKHr5R94h4+4mIiLyUSd2j079M3j1bAX2j80unzeoeDYtG5KBIBHTi0mlfxlBDREQeZdAbUH2h2qRsQNnpMtRecVPdo6FRCO0rvbpHxFBDREQiaqt7ZLx0ujy7HM11zi+dDuwSiKgU06rT/lT3iBhqiIjIDQwGA2oLas1GX6rzql1W98ikaCPrHhEYaoiIyEktDS2o/LHSpGxA2RkX1j0aHGm6eV0K6x6RZQw1RERks/rSerOijVU/VkHf7KK6R8NMbx+x7hHZg6GGiIjMCHWPjEZfys+4ru5Rt4HdTIo2Rg2NgqIX6x6RcxhqiIj8XGPNL3WPjDauq/jeNXWPgsOCzZdOD45EYGf+80Oux58qIiI/0Vb3yGTl0ely1Fx0Td2jsH5hJkUbo4ey7hGJi6GGiMiHaDQaZGRkCGUUlEolEhISzI4zqXt0+vrSaVfVPYpKjjK5fRSZHMm6R+RxLJMgEpZJICJnbdy4Eenp6WYFLzf8fQPGDxxvsnTa5XWPjCbwdktg3SPyTgw1ImGoISJnaDQaDBo4CN0N3dHnl/9ifvkvDGFOn18eKEe3W7qZrDyKHhaNzt07u6D1ROLg7SciIi+kq9CZbFyX/UU23ja8jUAXvG0LdY+Mijay7hFJAUMNEdnF1jkdZBuTukdGy6dvrHsUjGD7T35j3aNfJvCG9mHdI5Im3n4SCW8/kRRYm9OhVquRlpbm6eZ5vabaX+oeGc19Kc9xTd0jfZAevUf2Zt0j8msMNSJhqCFfp9FokJSUBL3efOdYuVyO3NxcxMfHe6Bl3keoe3S63GT3XVfVPapABQpQgMK2/2SFOHruKBISOWJG/o23n4jIJhkZGVZvWchkMqjVaqxYsULkVnleS0MLKn6oMCkbUJ5d7rK6R1FDWpdORw2Nwsnik3h25bPQyXVmI2UMNEQMNURko/z8fFgb2DUYDMjPzxe3QR6g/VlrWnX6jAvrHvXobDZ5t9tA07pHQzEUd6XfBbVaLcxpUqlUHCEj+gVDDRHZJC4urt2Rmri4OHEb5Eb6Fj2qzlddn/fyS4DRFmudPrdMLkO3JPOl04peCpteHx8f75cjYkS24JwakXBODfk6qc6paahuQHl2uckITHlOOVp0LU6fW6h7ZFQ2gHWPiNyHv1lEZJOEhASo1WqoVCqLq5+8PdAYDAZcy79mUrSx/IwL6x71DzOrOt31ZtY9IhITR2pEwpEakoq8vDyvn9PRXN+M8u/LheDSNnm3scb5ukeBnQMROSTSdP5LShSCwxzYR4aIXIqhRiQMNUSuZzAYoL2qNdu4zlV1j7rc1EVYedQWYMITwiEPYN0jIm/E209E5BNamlpQda7KZOVR+ely1JfWO31uoe6R0cqj6KGse0TkaxhqiMjr6Cp1ZiuPKs5WQN/o/NLpTpGdTMoGRA+NRsQtEax7RCQBDDVE5DEGvQHVedWmoy8W6h45RAZ0S+h2/fbRLxN4u8R04eRdIoliqCEiUTTVNqEsu8xs6bQr6h4FdglEVIrpyqOoIax7RORvGGqIyKUMBgNqr9Salg04U47qC66pexQaG2q2cV1Y/zDI5Bx9IfJ3DDVE5LCWhhZUnK0wu33UUOl83aOATgGIHBxpsvooKiUKIREhLmg5EUkRQw0R2USoe2S8dPqci+oe9exsNnm328BukAdy6TQR2Y6hhohM6JuN6h4Z3T7SXnVB3aMAGboNNF86bWvdIyKi9jDUEPmxtrpHJkunv69wTd2j8GAhuLSNwEQOjkRgCN92iMg9+O5C5AcMBgNqLtaYbFpXdqYM1/KvueT8Yf3DTIo2su4REXkCQw2RxAh1j04bLZ12Zd2j5EiT+S9Ryax7RETegaGGyEcZDAZoi7Um817KzpSh+ny16+oeDYsymfvCukdE5M0Yaoh8QEtjCyrPVZqVDtCV6Zw+tzxQjohBEaZVp4dGoXM06x4RkW9hqCHyMrpyncm+L2Wny1D5QyX0Tc4vnQ6JCjGZ9xI97Je6R8Gse0REvo+hhshDzOoe/bL/S11BnfMnN6p7ZDyBl3WPiEjKGGqIRODOukdBoUGISokyuX0UOSQSQV1Y94iI/AtDjZ/SaDTIyMhAfn4+4uLioFQqkZCQ4Olm+TyDwYDay7VmZQOq86pdcv6uN3c1vX001PV1j/izQUS+SmYwGFxQYo460qdPHxQWFiImJgYFBQUebcvGjRuRnp4OmUwGg8EgfFWr1UhLS/No23xJs64ZlT9Umqw+Kj9TjoYq19Y9EqpOi1D3iD8bROTLGGpE4i2hRqPRICkpCXq9+aRTuVyO3NxcxMfHe6Bl3k1bojUbfan8sRKGFud/fbyl7hF/NvwDR+JIynj7yc9kZGRYnSgqk8mgVquxYsUKkVvlPUSpezQ02mTyrrfUPeLPhvRZGolbuXIlR+JIMhhq/Ex+fj6sDc4ZDAbk5+eL2yAPaqj6pe6R0eqjirMurntktHmdt9c94s+GtGk0GqSnp1sciVOpVBgzZgxH4sjnee87LLlFXFxcu5/G4+LixG2QCAz61rpHwqqjMy6uezQgzOz2UWhsqM8tnfbHnw1/wpE48gcMNX5GqVRi5cqVFp8zGAxQqVQit8i1mrRNqPi+wmTX3fLscjRda3L63ELdI6Ndd6VU90jqPxv+jiNx5A8YavxMQkIC1Go1VCqVxRUuvjL8bDAYUFdUZzJxt+x0Gao1Lqp7FNPFbOfd8Hhp1z2Sys8GWcaROPIHXP0kEm9Z/dQmLy8ParVaWAGhUqm89h8td9Y9akYzruIqClGIWUtnIWl8kt/XPfKlnw2yHVe3kT9gqBGJt4Uab2VS9+iXsgGuqnvU0rkFefV5KPjlv0IU4iquogUtCAgIwOLFizmngCRt06ZNVkfiuPqJpLDcn7efyCP0LXrUXKgxWTbtyrpHTRFNqOpShaB+Qbh75t1I+U0Knlj4BLZ9vM3iJ1XOKSB/kJaWhjFjxnAkjsxIZbk/Qw25XeO1RpTnXF91VH76l7pHWtfXPfr28rdY8PoCNFU3wVBlgKxIBsPR1k+icf28Y06BFD4Nke+Kj4/niCSZkNJyf95+Eok/3H4Sve7RsGiE9bte96ijOQP79u3DxIkTPTqngGUIiMjbLF26FKtWrUJLi/keXb52a54jNeSQZl0zKs5WmFaddmXdoyGRJgHGlrpHHe3DcfDgQY+u7pHSpyEikg4pLfdnqKEOaUu0pvu+nClH5TkX1j0y2vfFlrpH1m7f2PKLuWLFCo/NKeDmZ0TkjaS03J+hhgT6Zj2qcqvMVh/Vl9Q7fW5ZgAwRSREmVaejh0ZD0dO+ukftTWaz9RfTU3MKpPRpiIikQ0obbzLU+KmGqgazuS8V31egpcGFdY+MAowr6h51dPtm3759Xv2LKaVPQ0QkHVLaeJOhRuJurHvUdhvp2iXX1D0Kjw83nbzrxrpH3j5npiNS+jRERNIileX+DDUS4ta6R4pARCVHmVSdjkqOQnBX8eoeefucmY5I6dMQEUmPFJb7M9T4KH2LHgUHClD6Xen1pdOuqnvUp4vJyEv0sGiEDQjzeN0jb58zYwupfBoiIvJG3KdGJK7cp6a5vhmfjP4E5WfKnTqPPEiOiEERZquPQqLaXzrtKaxdQ0RE7eFIjQ+6+NlFuwNNSFTI9VVHv3yNSIpAQHCAm1rperx9QwB3ZCYi6zhSIxJXjtQUHy3Gp3d+avlJGdAtsZvZzrtdburilsm7nsAq0v6LOzKT1DG0O4ehRiSuLpNw5p9noPlQA3mQ3CS8RA6JRJAiyAUtJvIuvP1IUsfQ7jyGGpH4Q+0nqeAnJe8kpfo0RDdyRWjnexfn1BCZaG/HYn5S8izuyExS5mwZFb53tXI61BQVFWHLli3IzMxEcXExgoODERsbi8mTJ+Pxxx9H586dXdFO7NmzBzt27EBubi6qq6vRvXt3jBgxAjNmzMCwYcPafW1NTQ1ycnKQnZ0tfC0tLQUAjBo1Clu2bHFJG8m3seCkd+OOzCRlzoR2vndd51SoyczMxKJFi3Dt2vXdaevr65GTk4OcnBx8/PHHWL9+Pfr27evwNRoaGvDss8/iq6++Mvl+YWEhCgsLsXv3bixYsABPP/201XNMmTIFhYWFDreB/AMLTno37shMUuZMaOd713UO76Z27tw5/PGPf8S1a9egUCjw3HPP4aOPPsKmTZvwyCOPAAAuXryIefPmoa6uzuEG/vnPfxYCTWpqKlavXo2PP/4Yr732GmJjY6HX6/Hvf/8bH3/8sU3ni46OxtixYx1uD0kXb294t7Yl/XK5HAEBASZfuaSffJ1SqWz3/ae90M73ruscHql57bXXUF9fj8DAQGRkZGD48OHCc6NHj8bNN9+MVatW4aeffsLGjRuxYMECu6+RlZWF3bt3AwDGjh2L1atXIyCgdV+VlJQUjBs3DtOmTUNRURFWrVqFiRMnIiwszOw8M2bMQJ8+fZCcnIybbroJADBw4EBH/tokYby94f24IzNJlTP7cPG96zqHVj9lZ2fj4YcfBgA8+uij+Nvf/mZ2jF6vx/33348LFy4gPDwc/+///T8EBdm31HjevHk4fPgwAgICcOjQIfTq1cvsmD179uD5558HACxZsgRKpdKmc7eFGrHm1HD1k/fzlSXDXOFAJF2O7MPlK+9dYnDo9tPBgweFx9OmTbN8YrkcU6ZMAQBUV1cjKyvLrmvU1dXh2LFjAIBf/epXFgMNANxzzz0IDQ0FAHz55Zd2XYPImC/c3ti4cSOSkpKwatUqbNu2DatWrUJSUhI2bdrk6aYRkQu01a778MMPsWLFCpved3zhvUssDt1+OnnyJABAoVBg8ODBVo+77bbbhMffffcd7rjjDpuvkZ2djcbGRgCtoynWBAcHY9iwYTh69ChycnLQ1NRk94gQuZ6vjiZ48+0NrnAgMfjq766/8+b3LjE5FGouXLgAAIiNjUVgoPVT9O/f3+w1tvrpp58snseSfv364ejRo2hubsalS5fc/n9iRUWF3a+x9A+RVPn6fgneWuWbKxzI3Xz9d9ffeet7l5jsDjUNDQ2orKwEAKu3hNqEh4dDoVBAq9Xi6tWrdl2nuLhYeNyzZ892j+3du7fJ69wdakaPHm33a9r2xZE6jia4D1c4kDvxd5ekwO45NcbLsxUKRYfHt22+p9Vq3XYd4w3+7L0OuZYtownkGK5wIHfi7y5Jgd2hpqGhQXhsy9yV4OBgAIBOp3P4Om3n6OgajlyHXIujCe7jzD4WRB3h7y5Jgd2hplOnTsLjpqamDo9vm+wbEhLi8HXaztHRNRy5DrkWRxPchyscyJ34u0tSYPecmi5dugiPbbnVU19fD8C2W1WOXqftGo5cxxFtS83tMWTIEJN5QlLFrezdiyscyF34u0tSYHeo6dSpEyIiIlBZWdnh5N/q6mohkHQ0qfhGxseXlJQgOTnZ6rHGYcF40rC7REZG2v0audzhihQ+xZldMck2XOFA7sDfXZICh5Z0DxgwACdPnsTly5fR3NxsdVm38bLsAQMG2H0NS+ex5OLFiwCAwMBAxMbG2nUdcj2OJhD5Jv7ukq9zKNSMGDECJ0+ehFarxdmzZzF06FCLx504cUJ4fOutt9p1jeTkZAQFBaGpqQlZWVmYN2+exeMaGxtx+vRp4TUdTSomcXA0gcg38XeXfJlD90QmTJggPP7kk08sHqPX67Fz504AQFhYGFJTU+26RmhoqLAfzLFjx6ze6tq/fz9qa2vN2kVERET+xaFQk5KSgpEjRwJoDTWnTp0yOyYjI0PYRXj27Nlmy7937NiBgQMHYuDAgXjnnXcsXqetOGVzczOWL1+OlpYWk+crKirw1ltvAWgNTm1FNomIiMj/OHT7CQBefPFFTJ8+HTqdDkqlEvPnz0dqaip0Oh327t2LrVu3AmhdJjh37lyHrjF69Gjcd9992LNnDw4dOoS5c+dizpw56NGjB86fP481a9agqKgIALBw4UKEh4dbPM+PP/6IH3/80eJzpaWl2LFjh8n3Jk6caLL6ioiICGBtLG/ncKgZNGgQ/vGPf2Dx4sWora3F3//+d7Nj4uLisG7dOqGKtiNef/111NbW4vDhwzh+/DiOHz9u8rxcLsdTTz2Fxx57zOo5Dhw4gHfffdficxcvXsTSpUtNvjdq1CiGGiIiMsHaWN7P4VADAOPGjcPnn3+OzZs3IzMzEyUlJQgKCkJsbCwmTZqEmTNnmpQwcERISAjWrVuHXbt24dNPP8W5c+dQU1OD6OhojBgxAjNnzsTw4cOdugaZ46cRIqLrWBvLN8gM1vbFJpfq06cPCgsLERMTg4KCAk83p12WPo207VXBTyNEJGXWPtAtXboUq1atMpvbCQABAQFYvHgxV415AadGakh6+GmEiPxVe7eXWBvLN/jHNrdkM1bqJSJ/ZPyBrqWlxeSrSqVCeHg4a2P5AIYaMsFPI0Tkjzr6QGcwGNp9b2RtLO/AUEMmxKjUq9FosHTpUkyfPh1Lly6FRqNx+pxERM7o6ANdTU0N1Go15HI5AgICTL6yNpb34JwaMuHuSr1cEklE3siWD3SsjeX9uPpJJGKvfnJmSfamTZusVup1JnhoNBokJSVZnIQsl8uRm5vLNwci8gi+P0kDR2okyNnREHd9GrFlEjKXRBKRJyQkJECtVlv9QMdA4xs4UiMSsUZqvPnTxvTp07Ft2zarbXvkkUfw4YcfeqBlRESt8vLyeHvJh3GkRmK8eTREjEnIRETOiI+P54ixD+PqJ4nx5iXZSqWSSyKJiMhtGGokxptHQ9ruWXNJJBERuQPn1IiEc2qu4z1rIiJyB4YakYi5pNtdS7KJiIi8GUONSMTep4ajIUTu4cweUETkXgw1IhE71BCRY9oLLZb2gOIoKJH3YKgRCUMNkfdrL7TccccdXj9fjcjfcfUTERFaR2jS09Oh1+vR0tJi8lWlUuHtt9/ucA8oIvIshhoiInS8ceWRI0e8dg8oImrFHYXJIZwsSVLT0caVALx2DygiasVQQ3ZztmAmkTfqaOPKO++8E7m5uRaf547YRN6BE4VFIpWJwr6wuR+RI2z52T569Cj3gCLyYpxTQ3axpWAmkS+ypYxHWloacnNzsXjxYjzyyCNYvHgxcnNzGWiIvARvP5FdvLlgJpGz0tLSMGbMmHY3rmQVZyLvxVBDdvHmgplErsDQQuS7OKdGJK6eU+Op1UecU0NE5BlcddoxhhqRuDLUeHqrdhbMJCISl6ff930FQ41IXBVqvGWkhAUziYjE4S3v+76Ac2p8jC2rj8SYD8B5B0RE4vCW931fwCXdPoarj4iI/Avf923HUONjuPqIiMi/8H3fdgw1PkapVLab2LlVOxGRtPB933YMNT7Gll1PiYhIOvi+bzuufhKJq/ep4eojIiL/wvf9jjHUiEQqBS2JnMUNxIjIXRhqRMJQQ8QNxIjIvRhqRMJQQ/6OG4gRkbtxojARicKWDcSIiJzBUENEouAGYkTkbgw1RCQKbiBGRO7GUENEouAGYkTkbgw1RCQKbiBGRO7G1U8i4eonolbcQIyI3IWhRiQMNURERO7F209EREQkCQw1REREJAkMNURERCQJDDVEREQkCQw1REREJAkMNURERCQJDDVEREQkCdynRiTBwcFoamqCXC5H7969Pd0cIiIin9OrVy+cPHnS6vOBIrbFr7W0tAAA9Ho9CgsLPdwaIiIi6WGoEUlISAh0Oh0CAgLQo0cPp86l1+tRWlpq8r3u3btDLufdxI6w75zD/nMO+8857D/HSaXvevXq1e7zvP3kgyoqKjB69GiT7x07dgyRkZEeapHvYN85h/3nHPafc9h/jvOXvvOtiEZERERkBUMNERERSQJDDREREUkCQw0RERFJAkMNERERSQJDDREREUkCQw0RERFJAkMNERERSQJDDREREUkCQw0RERFJAkMNERERSQJrPxEREZEkcKSGiIiIJIGhhoiIiCSBoYaIiIgkgaGGiIiIJIGhhoiIiCQh0NMNIPsVFRVhy5YtyMzMRHFxMYKDgxEbG4vJkyfj8ccfR+fOnT3dRFGVl5cjOzsb2dnZyMnJQU5ODqqqqgAAU6dOxRtvvGHX+Y4cOYJt27YhOzsbFRUViIyMREpKCh555BH8+te/dsPfwLPOnj2Lr7/+GidPnoRGo0F5eTmCgoLQo0cPDB8+HA899BBGjhxp8/n8pf9qa2tx+PBh5OTk4Pvvv0dJSQkqKirQ0NCArl27Ij4+Hr/+9a/x0EMPISIiosPz+Uu/2WLlypVQq9XCnzdv3ozU1NR2X+OP/Tdw4ECbjhs1ahS2bNnS7jFS6T8u6fYxmZmZWLRoEa5du2bx+X79+mH9+vXo27evyC3znPZ+se0JNQaDAX/961+xdetWq8c8+uijWL58OWQymd3t9EYzZ87EiRMnOjzud7/7HV599VUEBwdbPcbf+u+bb77B3LlzOzwuIiICq1atwp133mnxeX/rt46cO3cO06ZNQ3Nzs/C99kKNP/efK0KN1PqPIzU+5Ny5c/jjH/+I+vp6KBQKPPnkk0hNTYVOp8PevXuxbds2XLx4EfPmzcP27dvRpUsXTzdZdL1798aAAQNw9OhRu1/7z3/+U/jFHjRoENLT09G3b19cuXIFGzZswA8//ICtW7ciIiICzz33nKub7hElJSUAgB49emDSpEkYOXIkevfuDb1ej9OnTyMjIwMlJSX47LPP0NLSgrffftvqufyx/3r37o3U1FQMHjwYvXv3Rvfu3aHX63H16lXs27cP+/fvR2VlJX7/+99j+/btSEpKMjuHP/abNXq9HsuWLUNzczOioqJQXl7e4WvYf8D06dPx+OOPW32+vdF7yfWfgXzGzJkzDYmJiYZBgwYZ/ve//5k9v379ekNiYqIhMTHR8M4773ighZ7xr3/9y3Do0CFDaWmpwWAwGK5cuSL0w5IlS2w6R35+vmHQoEGGxMREw4MPPmior683eV6r1RoefPBBof8vXbrk8r+HJ8ybN8+wZ88eQ3Nzs8Xny8vLDffee6/QnydOnLB4nD/2n7U+M7Z//36h7xYsWGD2vD/2W3s2btxoSExMNEyaNMnw9ttvC3337bffWjze3/uvrX/+/e9/O/R6KfYfJwr7iOzsbGRlZQEApk2bhuHDh5sdo1QqMWDAAACtw7VNTU2ittFT/vCHP2Ds2LGIjo52+BybNm0ShrtfeuklhISEmDzfuXNnvPTSSwCA5uZmvPfee4432IusXbsWv/nNbxAQEGDx+cjISLzwwgvCn//73/9aPM4f+89anxmbMGEC+vfvDwAWb/P5Y79ZU1xcjH/9618AgJdffhlBQUEdvob95xwp9h9DjY84ePCg8HjatGkWj5HL5ZgyZQoAoLq6WghB1D6DwSD0b//+/TFs2DCLxw0bNgz9+vUDABw4cAAGP5mONmrUKOHxlStXzJ5n/7Wvbei/oaHB5PvsN1PLly+HVqvF1KlTO5wUDLD/nCXV/mOo8REnT54EACgUCgwePNjqcbfddpvw+LvvvnN7u6SgoKBAmFti3H+WtP0Df/XqVRQUFLi9bd7AeMTP0kRB9p91Fy5cwLlz5wBAGLFpw367bu/evfjqq6/QrVs3/OlPf7LpNew/50i1/xhqfMSFCxcAALGxsQgMtD6/2/iNs+011D7jfrrxH54bGT//008/ua1N3sT4toml/mH/maqvr0d+fj42btyI2bNno6WlBQAwe/Zsk+PYb61qamrw+uuvAwAWLVqEyMhIm17H/rvuv//9LyZOnIiUlBQMHz4c9957L5YsWYJvv/3W6muk2n9c/eQDGhoaUFlZCQDo1atXu8eGh4dDoVBAq9Xi6tWrYjTP5xUXFwuPO+pf4+eNXydVer0e69atE/48efJks2PYf8COHTuwdOlSq88rlUo88MADJt9jv7VatWoVSktLhT2RbMX+uy4vL8/kz5cuXcKlS5ewc+dOTJgwAW+88Qa6du1qcoxU+4+hxgfU1dUJjxUKRYfHd+7cGVqtFlqt1p3Nkgx7+td4aaQ/9O+mTZuQnZ0NALjnnnuQnJxsdgz7z7pbbrkFy5cvx9ChQ82eY7+13lb/+OOPERgYaPc+KOy/1r/XuHHjMHr0aPTr1w9dunRBRUUFsrKy8NFHH6GqqgoHDhzAU089hYyMDJPJ11LtP4YaH2A8wdCWFQFtG6TpdDq3tUlK7Olf483npN6/WVlZwr40UVFRePnlly0ex/5rXeU0ZMgQAK1/rytXruCLL77A/v37sWjRIvz5z3/G2LFjTV7j7/3W2NiIv/zlLzAYDJgzZ47NG8m18ff+A1p3AQ4LCzP7/h133IFZs2bhiSeewA8//ICsrCx8+OGHJrdApdp/nFPjAzp16iQ8tmWZdmNjIwCYLc8jy+zp37a+BaTdvxqNBgsWLEBzczOCg4Pxz3/+0+qSefYfEBYWhsTERCQmJiIlJQX33Xcf3n33Xbz55pu4cuUKnnrqKezYscPkNf7eb2vXrsWFCxdw0003YcGCBXa/3t/7D4DFQNMmOjoa//73v4XA8v7775s8L9X+Y6jxAcY7A9sy9FdfXw/AtltVZF//tvUtIN3+vXLlCpRKJaqrqxEQEIC///3vJsu6b8T+s27KlCmYNGkS9Ho9XnnlFVRXVwvP+XO/XbhwAWvXrgUALFu2zKG/kz/3n6369u2LO+64A0DrPJu21U6AdPuPt598QKdOnRAREYHKysoOJ/9WV1cLP6AdTf6iVsb91FH/Gj/fu3dvt7XJU0pKSjB37lz8/PPPkMlkeP3113HPPfe0+xr2X/vGjx+PL774AlqtFkeOHMFvf/tbAP7db++99x6amprQt29f6HQ67Nmzx+wYjUYjPP72229RVlYGABg7diwUCoVf9589BgwYgMzMTACtv989e/YEIN2fP4YaHzFgwACcPHkSly9fRnNzs9Vl3cbL7dp2F6b2xcfHC487Wq5o/HxHyyB9TUVFBZRKpbDB3ksvvSRs5tge9l/7jJcoFxUVCY/9ud/abmdcuXIFzz//fIfH/+c//xEeHzx4EAqFwq/7zx7WNsuTav/x9pOPGDFiBIDWYcKzZ89aPc54T5Fbb73V7e2Sgj59+qBHjx4ALG9lb6zt+Z49e6JPnz5ub5tYrl27hvT0dGFp6MKFCzFjxgybXsv+a5/xkL/x0D37zTnsP9sY70fTNkoDSLf/GGp8xIQJE4THn3zyicVj9Ho9du7cCaB1ApktW41T6y6548ePB9D6ieT06dMWjzt9+rTwiWX8+PF2LT/1ZvX19Zg3b54QlufPn4958+bZ/Hp/77+OGNfLSkxMFB77c7+98cYbyM3Nbfd/xpOHN2/eLHy/7R9Vf+4/W125cgXffPMNgNb5NcahRqr9x1DjI1JSUjBy5EgAraHm1KlTZsdkZGQIqXz27Nk2Lf+mVnPmzBFu6b3yyitmyxZ1Oh1eeeUVAEBgYCDmzJkjehvdobGxEQsWLMD//vc/AK0/N88995zd5/HH/tuxY4dZPacbbdq0CYcPHwYAxMTECCOubfyx31zJn/vv0KFDQjFKS8rKyvCHP/xBWNlkaeRViv3HOTU+5MUXX8T06dOh0+mgVCoxf/58pKamQqfTYe/evdi6dSsAIC4uDnPnzvVwa8XTNteoTdvuy0DrjP8bl9I++OCDZufo168flEol1q1bh++//x7Tp0/HE088gb59++LKlStYv349fvjhBwCASqVCXFyce/4yIlu4cCGOHj0KALj99tvx0EMP4fz581aPDwoKEorbGfPH/mtbsn3vvfdixIgR6Nu3L7p06YLa2lqcP38eu3btEsJiUFAQXn31VbO5cP7Yb67kz/336quvoqmpCRMnTsSwYcMQExODkJAQVFZW4vjx48Lme0Dr9AVLoUaK/SczeHvJTTJx6NAhLF68GLW1tRafj4uLw7p163DzzTeL3DLPeeGFF/Dpp5/afHxubq7F7+v1eixbtszq7T0AeOihh/DKK69ALpfGIKe9G57FxMTg0KFDFp/zt/4bN24cCgsLOzyuV69eeP3114WltTfyt36z1TvvvIN3330XQOvtJ2u30/21/2z9+Zs4cSJeffVVq3vaSK3/GGp8UGFhITZv3ozMzEyUlJQgKCgIsbGxmDRpEmbOnGmypbU/cFWoaXP48GFs3boVOTk5qKysREREBJKTk/Hoo4/irrvucra5XsWVoaaNv/Tf5cuX8c033+D48eO4cOECysvLUVVVheDgYERHR+OWW27B3XffjcmTJ9v0O+kv/WYrW0NNG3/rv6ysLGRlZeH06dO4cuUKqqqqUFtbKyx3Hz58OKZOnYrhw4fbdD6p9B9DDREREUmC948lEREREdmAoYaIiIgkgaGGiIiIJIGhhoiIiCSBoYaIiIgkgaGGiIiIJIGhhoiIiCSBoYaIiIgkgaGGiIiIJIGhhoiIiCSBoYaIiIgkgaGGiIiIJIGhhoiIiCSBoYaIiIgkgaGGiIiIJOH/A+rPXJSjzBTjAAAAAElFTkSuQmCC\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# FOR linear regression \n", + "\n", + "import scipy as sp\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib\n", + "\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 10\n", + "plt.rcParams['ytick.major.width'] = 3\n", + "plt.rcParams['xtick.major.width'] = 3\n", + "matplotlib.rc('xtick', labelsize=20) \n", + "matplotlib.rc('ytick', labelsize=20) \n", + "\n", + "for rat in ['pippin','tonks','ginny','ron','molly','arthur']:\n", + " if rat == 'pippin':\n", + " session_list = pippin_session_list_content\n", + " target_list = pippin_target_list_content\n", + " title = 'Rat 1'\n", + " elif rat == 'tonks':\n", + " session_list = tonks_session_list_content\n", + " target_list = tonks_target_list_content \n", + " title = 'Rat 2'\n", + " elif rat == 'ginny':\n", + " session_list = ginny_session_list_content\n", + " target_list = ginny_target_list_content \n", + " title = 'Rat 3'\n", + " elif rat == 'ron':\n", + " session_list = ron_session_list_content\n", + " target_list = ron_target_list_content \n", + " title = 'Rat 4'\n", + " elif rat == 'molly':\n", + " session_list = molly_session_list_content\n", + " target_list = molly_target_list_content \n", + " title = 'Rat 5'\n", + " elif rat == 'arthur':\n", + " session_list = arthur_session_list_content\n", + " target_list = arthur_target_list_content \n", + " title = 'Rat 6'\n", + " \n", + " # linear regression\n", + " print(rat)\n", + " print(sp.stats.linregress(session_list,target_list))\n", + " [a,b,c,d,e] = sp.stats.linregress(session_list,target_list)\n", + "\n", + " fig, ax = plt.subplots()\n", + " fig.set_size_inches(6,4)\n", + " ax.scatter(session_list,target_list,s=25,c='k')\n", + " # purple: #950095, orange: #F7941E, grey: #858483, pink: #ef94f7, blue/purp: #525fab\n", + " # regression line\n", + " ax.plot(np.arange(0,session_list[-1])*a+b,color='#950095',linewidth=3)\n", + "\n", + " ax.spines['top'].set_visible(False)\n", + " ax.spines['right'].set_visible(False)\n", + " ax.spines['bottom'].set_color('black')\n", + " ax.spines['left'].set_color('black')\n", + " ax.tick_params(labelbottom=True, labeltop=False, labelleft=True, labelright=False,\n", + " bottom=True, top=False, left=True, right=False)\n", + " ax.locator_params(nbins=10, axis='x')\n", + "\n", + " # change thickness spines\n", + " for axis in ['top','bottom','left']:\n", + " ax.spines[axis].set_linewidth(2)\n", + " for axis in ['top']: \n", + " ax.spines[axis].set_linewidth(0)\n", + " ax.set_title(title)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 395, + "id": "2179b5e8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "LinregressResult(slope=0.015274604433436173, intercept=-0.3928828582960877, rvalue=0.23942318765280676, pvalue=0.00015951569779543604, stderr=0.00398178154528451, intercept_stderr=0.11993550945216958)\n" + ] + }, + { + "data": { + "text/plain": [ + "(-2.2, 4.5)" + ] + }, + "execution_count": 395, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# zscore each array - plot combined\n", + "\n", + "all_end_zscore = np.concatenate([\n", + " sp.stats.zscore(pippin_target_list_content),sp.stats.zscore(tonks_target_list_content),\n", + " sp.stats.zscore(ginny_target_list_content),sp.stats.zscore(ron_target_list_content),\n", + " sp.stats.zscore(molly_target_list_content),sp.stats.zscore(arthur_target_list_content),])\n", + "all_rats_session = np.concatenate([pippin_session_list_content,tonks_session_list_content,\n", + " ginny_session_list_content,ron_session_list_content,\n", + " molly_session_list_content,arthur_session_list_content])\n", + "\n", + "print(sp.stats.linregress(all_rats_session,all_end_zscore))\n", + "[a,b,c,d,e] = sp.stats.linregress(all_rats_session,all_end_zscore)\n", + "\n", + "# plot combined graph\n", + "\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 10\n", + "plt.rcParams['ytick.major.width'] = 3\n", + "plt.rcParams['xtick.major.width'] = 3\n", + "\n", + "fig, ax = plt.subplots()\n", + "fig.set_size_inches(8, 5)\n", + "#plt.figure()\n", + "#plt.figure(figsize=(3,3))\n", + "ax.scatter(all_rats_session,all_end_zscore,s=25,c='k')\n", + "# purple: #950095, orange: #F7941E, grey: #858483, pink: #ef94f7, blue/purp: #525fab\n", + "# regression line\n", + "ax.plot(np.arange(0,session_list[-1])*a+b,color='#950095',linewidth=3)\n", + "\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.spines['bottom'].set_color('black')\n", + "ax.spines['left'].set_color('black')\n", + "ax.tick_params(labelbottom=True, labeltop=False, labelleft=True, labelright=False,\n", + " bottom=True, top=False, left=True, right=False)\n", + "ax.locator_params(nbins=10, axis='x')\n", + "\n", + "# change thickness spines\n", + "for axis in ['top','bottom','left']:\n", + " ax.spines[axis].set_linewidth(2)\n", + "for axis in ['top']: \n", + " ax.spines[axis].set_linewidth(0)\n", + "\n", + "# increase tick width\n", + "ax.tick_params(width=2)\n", + "\n", + "plt.ylim(-2.2,4.5)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "51c0a5ce", + "metadata": {}, + "outputs": [], + "source": [ + "# opposite arm" + ] + }, + { + "cell_type": "code", + "execution_count": 390, + "id": "788505a5", + "metadata": {}, + "outputs": [], + "source": [ + "# load remote fraction dict\n", + "file = open('/stelmo/mcoulter/coulter_all_figures/remote_fraction_dict_opposite.pkl','rb')\n", + "remote_fraction_dict = pickle.load(file)\n", + "file.close()\n", + "\n", + "ron_head_dir_target = remote_fraction_dict[1]\n", + "ron_content_target = remote_fraction_dict[2]\n", + "tonks_head_dir_target = remote_fraction_dict[3]\n", + "tonks_content_target = remote_fraction_dict[4]\n", + "arthur_head_dir_target = remote_fraction_dict[5]\n", + "arthur_content_target = remote_fraction_dict[6]\n", + "molly_head_dir_target = remote_fraction_dict[7]\n", + "molly_content_target = remote_fraction_dict[8]\n", + "ginny_head_dir_target = remote_fraction_dict[9]\n", + "ginny_content_target = remote_fraction_dict[10]\n", + "pippin_head_dir_target = remote_fraction_dict[11]\n", + "pippin_content_target = remote_fraction_dict[12]" + ] + }, + { + "cell_type": "code", + "execution_count": 327, + "id": "ab518548", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "09-Dec-24 23:56:03 Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n", + "09-Dec-24 23:56:03 Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# makes nice bar plot\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patches\n", + "\n", + "sns.set_style(\"ticks\", {'axes.grid' : False})\n", + "\n", + "pippin_head_dir_plot = pippin_head_dir_target.copy()\n", + "pippin_content_plot = pippin_content_target.copy()\n", + " \n", + "tonks_head_dir_plot = tonks_head_dir_target.copy()\n", + "tonks_content_plot = tonks_content_target.copy()\n", + "\n", + "ginny_head_dir_plot = ginny_head_dir_target.copy()\n", + "ginny_content_plot = ginny_content_target.copy()\n", + " \n", + "ron_head_dir_plot = ron_head_dir_target.copy()\n", + "ron_content_plot = ron_content_target.copy()\n", + " \n", + "molly_head_dir_plot = molly_head_dir_target.copy()\n", + "molly_content_plot = molly_content_target.copy()\n", + " \n", + "arthur_head_dir_plot = arthur_head_dir_target.copy()\n", + "arthur_content_plot = arthur_content_target.copy()\n", + " \n", + "matplotlib.rcParams.update({'font.size': 20})\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 0\n", + "plt.rcParams['ytick.major.width'] = 2\n", + "\n", + "fig, ax = plt.subplots()\n", + "fig.set_size_inches(18,10)\n", + "\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.spines['bottom'].set_color('black')\n", + "ax.spines['left'].set_color('black')\n", + "ax.spines['bottom'].set_linewidth(2)\n", + "ax.spines['left'].set_linewidth(2)\n", + "\n", + "#ax.tick_params(axis='y',direction='out',length=6,width=2, colors='r')\n", + "#ax.yaxis.set_ticks([0,1,2])\n", + "\n", + "# note: for opposite arm:\n", + "#palette=['grey','silver']\n", + "\n", + "swarm = 1\n", + "\n", + "if swarm == 1:\n", + " swarm_ax = sns.stripplot(x=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(1,len(pippin_content_plot)),\n", + " \n", + " np.repeat(6,len(tonks_head_dir_plot)),\n", + " np.repeat(6,len(tonks_content_plot)),\n", + " \n", + " np.repeat(7,len(ginny_head_dir_plot)),\n", + " np.repeat(7,len(ginny_content_plot)),\n", + " \n", + " np.repeat(8,len(ron_head_dir_plot)),\n", + " np.repeat(8,len(ron_content_plot)),\n", + " \n", + " np.repeat(9,len(molly_head_dir_plot)),\n", + " np.repeat(9,len(molly_content_plot)),\n", + " \n", + " np.repeat(10,len(arthur_head_dir_plot)),\n", + " np.repeat(10,len(arthur_content_plot)),\n", + "\n", + " ]), \n", + " y=np.concatenate([pippin_head_dir_plot,\n", + " pippin_content_plot,\n", + " \n", + " tonks_head_dir_plot,\n", + " tonks_content_plot,\n", + " \n", + " ginny_head_dir_plot,\n", + " ginny_content_plot,\n", + " \n", + " ron_head_dir_plot,\n", + " ron_content_plot,\n", + " \n", + " molly_head_dir_plot,\n", + " molly_content_plot,\n", + " \n", + " arthur_head_dir_plot,\n", + " arthur_content_plot,\n", + " ]), \n", + " hue=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(2,len(pippin_content_plot)),\n", + " \n", + " np.repeat(1,len(tonks_head_dir_plot)),\n", + " np.repeat(2,len(tonks_content_plot)),\n", + " \n", + " np.repeat(1,len(ginny_head_dir_plot)),\n", + " np.repeat(2,len(ginny_content_plot)),\n", + " \n", + " np.repeat(1,len(ron_head_dir_plot)),\n", + " np.repeat(2,len(ron_content_plot)),\n", + " \n", + " np.repeat(1,len(molly_head_dir_plot)),\n", + " np.repeat(2,len(molly_content_plot)),\n", + " \n", + " np.repeat(1,len(arthur_head_dir_plot)),\n", + " np.repeat(2,len(arthur_content_plot)),\n", + "\n", + " ]), \n", + " #palette=['grey','blue'], \n", + " palette=['grey','silver'], \n", + " alpha=1,zorder=1,size=15,edgecolor='white',linewidth=1,dodge=True)\n", + "\n", + "t_ax = sns.boxplot(x=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(1,len(pippin_content_plot)),\n", + " \n", + " np.repeat(2,len(tonks_head_dir_plot)),\n", + " np.repeat(2,len(tonks_content_plot)),\n", + " \n", + " np.repeat(3,len(ginny_head_dir_plot)),\n", + " np.repeat(3,len(ginny_content_plot)),\n", + " \n", + " np.repeat(4,len(ron_head_dir_plot)),\n", + " np.repeat(4,len(ron_content_plot)),\n", + " \n", + " np.repeat(5,len(molly_head_dir_plot)),\n", + " np.repeat(5,len(molly_content_plot)),\n", + " \n", + " np.repeat(6,len(arthur_head_dir_plot)),\n", + " np.repeat(6,len(arthur_content_plot)),\n", + " ]), \n", + " y=np.concatenate([pippin_head_dir_plot,\n", + " pippin_content_plot,\n", + " \n", + " tonks_head_dir_plot,\n", + " tonks_content_plot,\n", + " \n", + " ginny_head_dir_plot,\n", + " ginny_content_plot,\n", + " \n", + " ron_head_dir_plot,\n", + " ron_content_plot,\n", + " \n", + " molly_head_dir_plot,\n", + " molly_content_plot,\n", + " \n", + " arthur_head_dir_plot,\n", + " arthur_content_plot,\n", + " ]), \n", + " hue = np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(2,len(pippin_content_plot)),\n", + " \n", + " np.repeat(1,len(tonks_head_dir_plot)),\n", + " np.repeat(2,len(tonks_content_plot)),\n", + " \n", + " np.repeat(1,len(ginny_head_dir_plot)),\n", + " np.repeat(2,len(ginny_content_plot)),\n", + " \n", + " np.repeat(1,len(ron_head_dir_plot)),\n", + " np.repeat(2,len(ron_content_plot)),\n", + " \n", + " np.repeat(1,len(molly_head_dir_plot)),\n", + " np.repeat(2,len(molly_content_plot)),\n", + " \n", + " np.repeat(1,len(arthur_head_dir_plot)),\n", + " np.repeat(2,len(arthur_content_plot)),\n", + " ]),\n", + " #capsize=0.1,errcolor='black',\n", + " linewidth=3, #facecolor=(1, 1, 1, 0),\n", + " #palette=['grey','blue'],\n", + " palette=['grey','silver'], \n", + " #errwidth=3,\n", + " zorder=2,showfliers=False,showcaps=False)\n", + "\n", + "for patch in t_ax.patches:\n", + " patch.set_alpha(0.5)\n", + " \n", + "ax.get_legend().remove()\n", + " \n", + "plt.ylim(0,0.08)\n", + "plt.title('opposite arm')\n", + "\n", + "#filename = '/cumulus/mcoulter/content_figures/plot_pdf/opposite_arm_bar_new_S5.pdf' \n", + "#plt.savefig(filename, format=\"pdf\")" + ] + }, + { + "cell_type": "code", + "execution_count": 284, + "id": "680991d6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "opposite arm end: content 1.5042342891703573 head dir 1.0\n" + ] + } + ], + "source": [ + "# normalized lists - for bar plot visualization\n", + "# arm end\n", + "\n", + "arthur_content_end_norm = np.array(arthur_content_target)/np.mean(np.array(arthur_head_dir_target))\n", + "arthur_head_dir_end_norm = np.array(arthur_head_dir_target)/np.mean(np.array(arthur_head_dir_target))\n", + "\n", + "ginny_content_end_norm = np.array(ginny_content_target)/np.mean(np.array(ginny_head_dir_target))\n", + "ginny_head_dir_end_norm = np.array(ginny_head_dir_target)/np.mean(np.array(ginny_head_dir_target))\n", + "\n", + "tonks_content_end_norm = np.array(tonks_content_target)/np.mean(np.array(tonks_head_dir_target))\n", + "tonks_head_dir_end_norm = np.array(tonks_head_dir_target)/np.mean(np.array(tonks_head_dir_target))\n", + "\n", + "molly_content_end_norm = np.array(molly_content_target)/np.mean(np.array(molly_head_dir_target))\n", + "molly_head_dir_end_norm = np.array(molly_head_dir_target)/np.mean(np.array(molly_head_dir_target))\n", + "\n", + "ron_content_end_norm = np.array(ron_content_target)/np.mean(np.array(ron_head_dir_target))\n", + "ron_head_dir_end_norm = np.array(ron_head_dir_target)/np.mean(np.array(ron_head_dir_target))\n", + "\n", + "pippin_content_end_norm = np.array(pippin_content_target)/np.mean(np.array(pippin_head_dir_target))\n", + "pippin_head_dir_end_norm = np.array(pippin_head_dir_target)/np.mean(np.array(pippin_head_dir_target))\n", + "\n", + "# arm end\n", + "all_content_end_norm = np.concatenate([arthur_content_end_norm,molly_content_end_norm,\n", + " ron_content_end_norm,pippin_content_end_norm,\n", + " tonks_content_end_norm,ginny_content_end_norm])\n", + "\n", + "all_head_dir_end_norm = np.concatenate([arthur_head_dir_end_norm,molly_head_dir_end_norm,\n", + " ron_head_dir_end_norm,pippin_head_dir_end_norm,\n", + " tonks_head_dir_end_norm,ginny_head_dir_end_norm])\n", + "\n", + "print('opposite arm end: content',np.mean(all_content_end_norm),'head dir',np.mean(all_head_dir_end_norm))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 285, + "id": "fdaacf9b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'grouped: opposite arm')" + ] + }, + "execution_count": 285, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# summary bar plot: oppoiste arm\n", + "\n", + "opposite = 1\n", + "\n", + "# makes nice bar plot\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patches\n", + "\n", + "matplotlib.rc('xtick', labelsize=20) \n", + "matplotlib.rc('ytick', labelsize=20) \n", + "matplotlib.rcParams.update({'font.size': 20})\n", + "\n", + "sns.set_style(\"ticks\", {'axes.grid' : False})\n", + "\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 0\n", + "plt.rcParams['ytick.major.width'] = 2\n", + "\n", + "all_content_end_norm \n", + "all_head_dir_end_norm \n", + "\n", + "fig, ax = plt.subplots()\n", + "fig.set_size_inches(6,8)\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.spines['bottom'].set_color('black')\n", + "ax.spines['left'].set_color('black')\n", + "ax.spines['bottom'].set_linewidth(2)\n", + "ax.spines['left'].set_linewidth(2)\n", + "\n", + "t_ax = sns.barplot(x=np.concatenate([np.repeat(1,len(all_head_dir_end_norm)),\n", + " np.repeat(1,len(all_content_end_norm)),]), \n", + " y=np.concatenate([all_head_dir_end_norm,\n", + " all_content_end_norm,]), \n", + " hue = np.concatenate([np.repeat(1,len(all_head_dir_end_norm)),\n", + " np.repeat(2,len(all_content_end_norm)),]),\n", + " capsize=0.1,errcolor='black',\n", + " linewidth=4, #facecolor=(1, 1, 1, 0),\n", + " #palette=['grey','blue'],\n", + " palette=['grey','silver'], \n", + " errwidth=3,zorder=2)\n", + "\n", + "\n", + "for patch in t_ax.patches:\n", + " clr = patch.get_facecolor()\n", + " patch.set_edgecolor(clr)\n", + " patch.set_facecolor([1,1,1,0])\n", + "\n", + "ax.get_legend().remove()\n", + "plt.ylim(0,2.3)\n", + "plt.title('grouped: opposite arm')\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ba7f2935", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 392, + "id": "3378dd16", + "metadata": {}, + "outputs": [], + "source": [ + "# load remote linear regression dict - opposite arm\n", + "file = open('/stelmo/mcoulter/coulter_all_figures/remote_lin_regress_dict_opposite.pkl','rb')\n", + "remote_fraction_dict = pickle.load(file)\n", + "file.close()\n", + "\n", + "ron_session_list_content = remote_fraction_dict[1]\n", + "ron_target_list_content = remote_fraction_dict[2]\n", + "tonks_session_list_content = remote_fraction_dict[3]\n", + "tonks_target_list_content = remote_fraction_dict[4]\n", + "arthur_session_list_content = remote_fraction_dict[5]\n", + "arthur_target_list_content = remote_fraction_dict[6]\n", + "molly_session_list_content = remote_fraction_dict[7]\n", + "molly_target_list_content = remote_fraction_dict[8]\n", + "ginny_session_list_content = remote_fraction_dict[9]\n", + "ginny_target_list_content = remote_fraction_dict[10]\n", + "pippin_session_list_content = remote_fraction_dict[11]\n", + "pippin_target_list_content = remote_fraction_dict[12]\n" + ] + }, + { + "cell_type": "code", + "execution_count": 172, + "id": "60894df0", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "pippin\n", + "LinregressResult(slope=6.223756892944196e-05, intercept=0.011547814898927367, rvalue=0.04200799448692855, pvalue=0.9287479207384107, stderr=0.000661991080263832, intercept_stderr=0.006577216557731403)\n", + "tonks\n", + "LinregressResult(slope=0.0005907820145146265, intercept=0.01078168586171058, rvalue=0.5881569053614797, pvalue=7.070020045927084e-06, stderr=0.00011725356185772515, intercept_stderr=0.0034345487746167557)\n", + "ginny\n", + "LinregressResult(slope=1.0043813465936838e-05, intercept=0.012234152823646791, rvalue=0.02822588526905562, pvalue=0.8591632098352217, stderr=5.6240348156478795e-05, intercept_stderr=0.001688727359486832)\n", + "ron\n", + "LinregressResult(slope=-5.7679285829603334e-05, intercept=0.020311106362514188, rvalue=-0.0703765191996679, pvalue=0.6498651833184628, stderr=0.00012615058689919814, intercept_stderr=0.0040282084216338)\n", + "molly\n", + "LinregressResult(slope=6.724229576198927e-06, intercept=0.01703079383290903, rvalue=0.00844255932042386, pvalue=0.9535981027258215, stderr=0.00011495617766547245, intercept_stderr=0.003513411358213828)\n", + "arthur\n", + "LinregressResult(slope=0.00017534938547750258, intercept=0.01172236882056682, rvalue=0.369056690894046, pvalue=0.007697610570968056, stderr=6.308396911860377e-05, intercept_stderr=0.0019423307204102995)\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# FOR linear regression \n", + "\n", + "import scipy as sp\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib\n", + "\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 10\n", + "plt.rcParams['ytick.major.width'] = 3\n", + "plt.rcParams['xtick.major.width'] = 3\n", + "matplotlib.rc('xtick', labelsize=20) \n", + "matplotlib.rc('ytick', labelsize=20) \n", + "\n", + "for rat in ['pippin','tonks','ginny','ron','molly','arthur']:\n", + " if rat == 'pippin':\n", + " session_list = pippin_session_list_content\n", + " target_list = pippin_target_list_content\n", + " title = 'Rat 1'\n", + " elif rat == 'tonks':\n", + " session_list = tonks_session_list_content\n", + " target_list = tonks_target_list_content \n", + " title = 'Rat 2'\n", + " elif rat == 'ginny':\n", + " session_list = ginny_session_list_content\n", + " target_list = ginny_target_list_content \n", + " title = 'Rat 3'\n", + " elif rat == 'ron':\n", + " session_list = ron_session_list_content\n", + " target_list = ron_target_list_content \n", + " title = 'Rat 4'\n", + " elif rat == 'molly':\n", + " session_list = molly_session_list_content\n", + " target_list = molly_target_list_content \n", + " title = 'Rat 5'\n", + " elif rat == 'arthur':\n", + " session_list = arthur_session_list_content\n", + " target_list = arthur_target_list_content \n", + " title = 'Rat 6'\n", + " \n", + " # linear regression\n", + " print(rat)\n", + " print(sp.stats.linregress(session_list,target_list))\n", + " [a,b,c,d,e] = sp.stats.linregress(session_list,target_list)\n", + "\n", + " fig, ax = plt.subplots()\n", + " fig.set_size_inches(6,4)\n", + " ax.scatter(session_list,target_list,s=25,c='k')\n", + " # purple: #950095, orange: #F7941E, grey: #858483, pink: #ef94f7, blue/purp: #525fab\n", + " # regression line\n", + " ax.plot(np.arange(0,session_list[-1])*a+b,color='#858483',linewidth=3)\n", + "\n", + " ax.spines['top'].set_visible(False)\n", + " ax.spines['right'].set_visible(False)\n", + " ax.spines['bottom'].set_color('black')\n", + " ax.spines['left'].set_color('black')\n", + " ax.tick_params(labelbottom=True, labeltop=False, labelleft=True, labelright=False,\n", + " bottom=True, top=False, left=True, right=False)\n", + " ax.locator_params(nbins=10, axis='x')\n", + "\n", + " # change thickness spines\n", + " for axis in ['top','bottom','left']:\n", + " ax.spines[axis].set_linewidth(2)\n", + " for axis in ['top']: \n", + " ax.spines[axis].set_linewidth(0)\n", + " ax.set_title(title)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 393, + "id": "4fd3c12f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "LinregressResult(slope=0.011798254236056944, intercept=-0.30346657207169425, rvalue=0.18493281775281448, pvalue=0.003744077526600956, stderr=0.004030321097463946, intercept_stderr=0.12139757256462616)\n" + ] + }, + { + "data": { + "text/plain": [ + "(-2.2, 4.5)" + ] + }, + "execution_count": 393, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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iFdBpIud0mGcmCPO2+0FPTw+tpB4jeAUCYN26dQWf/hmZDRM5OafzzUwQlvPf6bYT6CIICF6BgODpH0Fj55wOc8+D020Pc5CPYCF4BQAYq7m5Wdra2mR4eHjMa7FYTFauXBnY3EEn2x7mIB/Bw6oAAABjhXlmAifbzvRjCBKCVwCAscI8M4GTbQ9zkI/gIXgFABgrzCsSOdn2MAf5CB6CVwCAscK8IpGTbQ9zkI/gYcAWAMB4YZ5tw+62M6UegoLgVRPm2gMAeC3MQT6Cg+BVA+baA+zR/ZCn+/sBhBN1T3EErx5jrj3AHt0Pebq/H0A4UfeMj+DVY2GeUBuwS/dDnu7vB4KKFsXiqHvsYbYBjzHXHjA+3ROq6/5+IIhSqZTU1tZKW1ubdHZ2Sltbm9TW1sq6det0F803qHvsIXj1GHPtAePT/ZCn+/uBoEmn09LY2CgjIyMyPDyc8zORSEhPT4/uIvoCdY89BK8eY6494OiNrLm5WZYvXy7Nzc2STqdzXtf9kKf7+4GgoUXRHuoeewhePRbmCbUBEXtdh7of8nR/PxA0tCjaQ91jD8GrBg0NDdLV1SUrV66U+vp6WblypXR1dTGKEIFnt+tQ90Oe7u/3i/FayAG7aFG0h7rHHmYbgGsYRYrxOJ1tQ/eE6rq/Xyem67GPum98jKJ3Jsx1jy1WwFVWVloiYlVWVuouSqC1t7db0WjUisViOT9TqZTuosFHli1bZkWjUUtExvyLRqPWsmXLdBcRlmV1d3cXPU7pdFp3EX2Dus++VCrFvoIrSBvApDGKFHbRdWgGBtfYQ93nDClzcAvBKyaNG51zYc0lZDCCGRhcYw91n3PV1dXS0tIiHR0d0tLSQlc4JoTgFZPGjc6ZME/UzWAEM9BCbg91H6BHie4CYHx+HwzAjc6+0d2MJ0okElJXVxf4AK6hoUHq6uoYjOBj8XhcWltb875GC/lx1H2AHsw24HMmjPhlFKl9TkfbA7qsW7dOEomEr+se3aj7AD1IG/AxUwYD0BVsH92MMAWDa8ZH3QfoQdqAj9kZDOCXVjq6gu2hmxEmyQyuQWHUff5PbUPwkDbgY8uXL5fOzs6CXVL19fXS0dGhoWSYKLoZEXYEOvaZsK9MSG1D8NDy6mO00gVPppuxUC6hV4GrCTdFBE++QKe1tZVAJw8T9pVfBqBSn4UPLa8+RitdcOlc+o+WEuhAfWafKfvKDwNQqc/CiQFbPsZggODSNVG3KYMAETxM6G+fKftK9wBU6rPwIm3A5xgMADeZNAgQwaI70DGJKftqIqltbnbxq6zPSEXwN4JXAzDiF24x5aaI4CGH3z5T9pXTxSzczuNVVZ+ZkG8cdqQNACFiyk0RwROPx4sGGqzadZwp+8pJapvTLv50Oi3Nzc2yfPlyaW5ulnQ6Peb7VdRnpCKYgeAVCBFTboqq2bkx+oEp5bSDHH77TNpXdhezcJLHm0qlpLa2Vtra2qSzs1Pa2tqktrZW1q1bl/N3E6nPxrumTMk3Dj0r4CorKy0RsSorK3UXBfCFVCplRaNRKxaL5fxMpVK6i+aJ9vZ2I7bflHI6lU6nraamJmvZsmVWU1OTlU6ndRfJt4K0r5YtW2ZFo1FLRMb8i0aj1rJlyyzLsqzu7u6i7ztxHzipz+xcU3bLCb3IeQV8TMWggTAPAvTLvJTjMaWcE0EOv31B2ld2u/idDsKyW5/ZvaZIrTKE7uhZNVpeYaqgtrzp1NTUZMVisbytKrFYzGpqatJdRMuyzCkn1Oru7s5pee3u7tZdpLzslNNui6qqlk+715TTll/oQc4r4EMMGlDDlNkWTCkn1LGb96mb3XLazeNV1fJp95oyKd84zEgbQCj5fQ4/5mNVw5QuQVPKCTVMSRtxWk47XfxOp9+yy8k1FebUKmNobPX1RJjSBkzpYtLNhO54Bg2oYUqXoCnlhBqmpI2oKqeKQaVcU8FC2kBAmNLFpJsp3fG0vKlhSpegKeWEGqakjagqp93pt5zgmgoW0gYCwJQuJj8wpTteVdcZzOkSNKWccJ8pD68qy6lipgWuqeCIWIUemwJi1qxZsmvXLqmsrJSdO3fqLo4Szc3N0tbWJsPDw2Nei8VisnLlSl8EZH6wfPly6ezszBvoR6NRqa+vl46ODg0lG2vdunWSSCRylii0LIslCoGAS6fTUltbW7Ce6urq8kXAZUo5ETyet7z+9Kc/la1bt8pvf/tb6e7ulqGhIWlpaZHrrrvO66IEhildTKrZGYRlSouGCK0EQFhlurgLPbz6pQ4wpZwIHs9bXi+77DLZtWuXzJgxQ6ZNmya7du1SGrwGoeV1vKCMltejOb+NjY3jtlLSUgDALt2zkvT09Bjx8GpKOREgHg8Qs1588UVr586dlmVZ1tq1a605c+ZY69evV/Z9ps82YGdkfNhHUapcThBAsNidlcWEWUkymGkGYaN1qiyC1+KcBGVhDsgmMl2LijXDuYEA/mY3IFXZIOB2PWFSkA24xajZBlKplKRSKUd/s3fvXkWlUc/JyPgw50dOJOfX7ZGs+dIWWltbGVwF+ISTWVlUzUridj3BTDMIK6OC176+PtmzZ4+jv8l3UZvCaVCmYmoRE+gehMUNBPA/JwGpikGwKuoJU6b+A9xm1CIFFRUVMnPmTEf/olGjNjGH7qDMFPF4vOiNRvWcqHZuIAD0chKQqqh7VdQTzDSDsDKq5XXFihWyYsUKR3+TmW3ARExUb4/u6Vq4gQD+5yQgVVH3qqgnaOBAWJnbLBkCLGdnn4rlBO3iBgL4n5MeGhV1r4p6QnevE6CL1hW2vv/978v999/PPK/jYA49f2PuWMAMTletc7PuVVVPsBIfwsiotIGwCutALFPoTlsAYI/TWVncrHtV1RNhnmkG4UXLK+ASWsgBjId6Apg8z4PXxx57TLZu3SoiIt3d3fK73/1OzjnnHDnjjDNERGTRokWyaNEi176P4BUAACA4PE8b2Lp1qzz55JM5v3vllVfklVdeERGRyspKV4NXr+leCxsIEq4nAMCJtKYNeMHLltd8q6eQOA9MDNcTADt4yA0fgleXMOIccA/XEwA7eMgNJ+Z5dQmrLAHu4XoCMJ7RS+4ODw/n/EwkEtLT06O7iFCE4NUlrLIEuIfrCcB4eMgNL4JXl7DKEuAericA4+EhN7wIXl3CMn2Ae7ieAIyHh9zwInh1iYq1sIGw4noCMB4ecsOL2QZcxuopgHu4ngAUs27duoJL7jLbwMT5ffoxglcAAGAsHnLdZcL0YwSvAAAAMGaObXJeAQAARkmn09Lc3CzLly+X5uZmSafTuovkCVOmHyvRXQAAAAC/yNdt3tra6qtuc1VMmX6M4BVa+D0ZHDAN1xQweaNX7TpRIpGQuro6X3Sbq2LK9GPkvMJzJiSD4ygCIjNwTQHuaG5ulra2NhkeHh7zWiwWk5UrV0pLS4uGknnDlJxXgld4ypQLAwREpuCaMgsPhP62fPly6ezsLHg91dfXS0dHh4aSeceE6cdIG4Cn7CSDB/mp1i/Gu4GGvevMJFxT5ghzLqVKbj4QmNJtrlJDQ4PU1dX5evoxgtcA0f1Eb+f7VSaD695+U9i5gRIQmcOUARZhxwOhGm4/EMTjcWltbc37mhurdplyn6qurvZ3HW8FXGVlpSUiVmVlpe6iKNXe3m5Fo1ErFovl/EylUr76/qamJisWi1kiMuZfLBazmpqalH5/2HV3d1vRaDTv/o9Go1Y6nbYsy7KWLVtW9H3Lli3TvCXIUHVNwV0cJ/fZrc+cSqVSSu4n3KfcwzyvATD6iX54eDjnZyKRkJ6eHt98v4q1qHVvv0nszuFH15k5WN/dDCa2kPt9rlNVc5I2NDRIV1eXrFy5Uurr62XlypXS1dU1qdQO7lPuIngNAN2TCjv5/pqaGkkmkxKNRiUWi+X8TCaTE+o20739JrF7A51IQOT3G11Qqbim4D7THghTqZTU1tZKW1ubdHZ2Sltbm9TW1sq6det0Fy1L5QNBptu8o6NDWlpaJn0d+eU+FZR6mpzXAND9RO/0+91OBte9/SaxewPNBESFRpyeeKyc5p2ZkvdlChMGWASZnfNZdS6lm0zJzzXpgcAP96lADRj0LEFBkzDkvOrOpQr795vEaY5YOp22mpqarGXLlllNTU15c8icfiZ5XwgSJ+ezqlxKt5lSp04k57W7uzunTuvu7vakrLr3qar8YF0IXg0w3sWm+6QM+/f7hd1K2e0bqJNKmWOFIJnI+WzngVA3kwZsOqnPdD446677dAfPbiN49Tm7F5vuJ/qwf79uTitlN2+gTm50QatAEW5BPZ/9sF1OWkhV9BCpoPM+ZdIDiR0Erz6mootXpbB/vy66K2UnN7qgVaAIt6Cez7rrFBUtpH4IyC1L333KL9vvFoJXHwvayTZRunKUTKH7PHFyo9NdVsBNQT6fdbUSqgqcnT5oBO2+o/uBxG0Erz4W1Kd6JxjcMz4/nCd2b3RBq0ARbkE/n3W0Eqp6IHDyuUG97wQpvY6psnzMpGlAVDBluhbdJnKeuD1Vld2pmpxOwQX4WdDPZx1LhKqaUsruVGVBvu8Eako9jYGzJ0xueQ36U/14gtwl5yYTp6oKa34ygonz2T0q6307LY9Bv+8MDw9bQ0NDuosxaRHLKvCIExCzZs2SXbt2SWVlpezcuVN3cRxbt25dwad64yYVdmj58uXS2dmZ9wk4Go1KfX29dHR0aCjZ5Lnd8mn3PEmn01JbW1twn3Z1dZn5FA4gEFTXUT09PUVbHv1+37EsSw4fPiyDgwMy0D8gA6N/DgzK4MCADAwc/f/BgQHpHxjI/m5wcFAGBwclEonI7DPOkOuv/6yUlZVp25bJIG3A5wLVzO9QUNMmVKxyYvc8sbNEodfdhACQoToVY7xUCC/uO0eOHDkaYA4M5AahA4MyMNAvg8d+DgwMZoPTwcGB7N9Mts3RsizZ0dsrL7/8G7n44ksmvT060PIK3wpiK6HubfJ7qwIAiIzfQqqKnTr6wx/+8DiBZ+Z3mVbP3CD0yJEjyrfDjrqLL5ZLLvm/dBdjQmh51YS13ccXxMEQTls+3T5PgtqaDXOYVPeZVNagUTlYLNP1nmnJzAaZxwLOBx74v2XDhg0ytXyqlJeXy9Sp5VJeXi6VlZXykyefkMOHDyspl5dmzZol559/ge5iTBgtrxrk6zYOSx7rROh6AlfBScunivNEd8uvaQhe3GVS3WdSWcNoaGjoWMA5mBuAjsr5zLSKjv794LH3ByH0sSxLBo7ltQ70D8jAQL/0H/s5MDgoC89dKEuvvlqmlpdLWXm5lJeXSXn5VJk6dapUVFToLv6kELx6jODhqLAGBc3NzdLa2lrw+N95553S0tKi9DwJ8yBAJwhe3GVS3WdSWU01PDycDSRzWj5HBZz9o7vdB3ID0eHhYd2b4IrS0lIpzwSXZUeDy/LysmP/f7TFN/t69t/R961YsSK0aWCkDXiMATNqBiw5pSt4vuyyy+Rb3/pW3tdGRkZk0aJFIqL2PAnzIEC7/DLXY5Ae8kyq+1SWNSjH1LKsY6PXi+R9Doxt+cy0fgah613kaJCYDTDLyqX8WIpBbuB5PCgtL8sNRGOx2IS/O8xpYASvHlM1AbMp/BAUOA2e3bzZPP/889nvPVEkEpGNGzfK5Zdfrvw80TH5uEna29uL7n8vAi0/POS5yaS6T1VZ/XRMLcsqPOo92/pZeNT74OBgILreRWRs8Fl2vHWzrKzs6OvHfp/bAlouJSUlBQNI1ewuvBBEBK8eC/OTkoj+1henwbPbN5ve3t6iwWvmphj280S3119/vWjw8vrrryv9fj885LnNpHNaRVlVHNPh4eHjeZz9/Xnn+szNBx3MGQUflK73KVOmHA8yT+xmLzve+vnrF38t991/vwwODkp/f3923/3gBz8w8oEwiIOa7SJ4ddl4rXTxeFxWrVqV929HRkYC/aQkor/1xUnwrOJmY/emGPbzRLd9+/ZN6vXJ0v2Qp4JJrUQqyprvmEYiESkrK5P3vOc9kkql5B//8R+zuZ+DA4PSn+mCLzD4aGhoaELb5zexWGxU3ufxvM6cVs6y/K2fZWVltrre0+m03HrbbYF6IBQJbxoYwauL/NQl5Fe6W1+cBM8qAgiTbuBhdsopp0zq9cnS/ZCngkmtRHbLalmW7VHvI8PD0nDj54/mPk4tPzoCvKxMotFo9nt//P/+P7o2eVIikUg2kMxp+Twh4Dxx1Ht52dEAtbS0VHkZTXsgdJKuFsY0MIJXl9htpWtvb5doNJq3uyYajfruAnKb7uDNSfCsIoCoqamRhoYGaW9vH/PaihUrsjfFsJ8nGboGtyxYsECeeeaZgqN4FyxYoPT7dT/kqeLHVqJM1/uJo94/umCB/OQnT8qWLVukr69P3nvSe2XW6bNErBFZ8x/fy74/3zmSz/Tp75Xp09+reGsmbsqUKSeMei+Xw4eHJJ1OyzvvviPTp0+Xi+sultlnnDFm1PuUKVO05X3aZdIDYSqVyt4LMw9Oq1atkvb2dhrCjiF4dYndpzqTLiAVdLe+OAmeVeW9rVu3Lu9rqVRKmpqapLq6OvTniYjenoxi54mIKH/I0v2Qp5LbrUQjIyPjj3ofPKFFdHAwO/hovK73silTpOzkk0VEZM9bb7lWbrdlut6LDj46YdR7+dRj7ysvz2kBFik0Vdw3je1JNOWBMJ1OSyKRyKn/M/8dj8eNTW9wG8GrS+wGG6ZcQCrpbH1xEjx7lfeWMfohJ+znie4BS7ofsnR/v5cyXe8TXet9cHBQ9ya4ItP1XjTwLDjv59FR727Rff2pYMoD4X333Vc0lrjvvvtkzZo1HpfKf7QFr9u2bZOHHnpIXnvtNRkaGpLq6mq58cYb5eqrr9ZVpElxMhDHDxeQ7rkGdebo2A2eVQQQdh9y/HKe6OKH/DTdXdy6v9+JzJRLoyedz23pzPz/8SB0cPD4JPR2u979LtP1PmbUe9nx/z6wf7/88pe/lN27d8vMD8yU+vobpLa21ldd7364/txmygPhCy+8UPT1TZs2eVIO3THCeLQEr7/5zW8kkUhIaWmpLFmyRE466STZsGGD3HHHHbJr1y75whe+oKNYk2I32PDDBcTAMvvBs9sBhN2HHD+cJzr5JW1C90AIr74/0/WeCTj7B0a1bOYZ9T44agqmgYEBOXLkiPIyeqGkpCRPwFk2ZrT76O720aPeT+x6L2TR//k/irdkcvxy/bnNpAdCnUyIETxfHvbIkSPyt3/7t/LWW2/Jo48+KvPnzxcRkb6+Plm2bJn86U9/kp/97GeudYt6uTysk2U3e3p6tFxALHuol9P9r+s80a25uVna2tryDliLxWKycuVK41p+VDre9d5/fCnNgROW2Dwx73PUakeB6nqfOjU74KjQqPfyzKCkqeU5E9G72fVuMq4/fW6++Wb5/ve/X/R1lWkDpsQIngevv/rVrySRSMh111035uR/+umn5Utf+pLcfPPN8i//8i+ufJ+XwauI/4MNKiX9nDzkhJUpFaibRq92lH+t99y8zxOD0KCsdlRWVnYsmDw2sOjECefzrnR09P2lpaW+6Xo3WRivP6+M1x2fTqdl7ty5BRey6e7uVrrvTYkRPH/MfPnll0VEpK6ubsxrn/zkJ3PeYyLd3YzjMbE7yO+5N07RdTU+E9MmRne9Fw9CM6/ldsMHres93+CjsvIymZod9X48IC2bQNc71DHx+nObivuOne74mpoaaW9vHzPjQCbXWPW+7+3tLZiDPjIy4psYwfPgNbPhZ5xxxpjXpk+fLjNmzJAdO3bk/dtUKiWpVMrR9+3du9dxGYPMtFHsJuTeTITfH3L8QGWQn+/GVF1dLYcPH84bcOaMei+w2tHhw4dd2Gr9otHomMAz060+ddSo99xJ58vpeg+YMD9kq7jvOJnBQee+f+9731u0gWv69OnKy2CH57VMX1+fiIicdNJJeV+vqKiQtwrMpdfX1yd79uxx9H1BGcXqFpNGsQdxuhY44zTIL7ra0bGcz23btsnmlzfL1KlT5eQZ75PDg4PyyLqUTJs2TeGWeGt0MJlvjffM6kbl5WMHH9H1jowwPmSruu84ncEhjPveCaMekSsqKmTmzJmO/sYvTdx+YVJ3UBCna0FxIyMjY7vbs/+ff67PzICk/v5+2w+rZ511puItmZzS0tIxqx3lG3x04nyfmYCV4BOYGFX3HVO64w8cOJCNCU4UiURk//79Gko1lufBa0VFhYiIHDx4MO/rfX19BVtlV6xYIStWrHD0fZkBWzjOlO4gE/Nzw86yrGNd72NHvQ+c0AKau9pRvwwODgar633cUe8nrnZ0fNR7LBbTvQmOBS03HeGk6r7jl+748a7TqqqqokuT+yW10PPgNbPhO3bskLPOOivntf3798s777wjH//4x70uVuiY0CVhWn5uEFiWZXPU+/FAdHRgOjg4GJhR78dbMo8PMJpanjsH6JiVjsrKpHzqVCkpKQlV62dQc9MRPkG+79i5Tk1JLfQ8eD3vvPNk7dq18qtf/UqWLFmS89qLL74oIiLnn3++18XyHK0U4zPlIvKb4eHhnFHv+Ua7Z+f+zLP2e74nbhMd3QeDUlFRIWdUnSHlZeXyxhu/l61bX5FD/YdkoH9A+gf6sz8PHx6Sz3/+8/LVr35VysrKQhV8TobTHEHqPviZqvuO7u54u9epKamFngevF110kZx++uny1FNPyec//3mZN2+eiBxNF/je974nJSUl8ulPf9rrYnmKVgp7TLmIMty6KVuWdWzi+EJrvBefcD4oXe+xWGzMakfl5WUntHSWy9q1a+X5n/9cDh06JAMD/dLff3RfjIyMSDQalfr6ernnq18VkaPH6Bv/9u8F56+Mx+NSXl7u9aYazUmOIHUf/G4i9x07db/u7ngn16kJqYWeL1IgIvLSSy9JY2OjlJaWytKlS6WiokI2bNggO3fulNtvv11uueUW177L60UKxsPkz875feEHkbE35SlTpkhZWZm0tbXJlVdeOSbIPN7dnrvWe+b1IIhEItkczqKj3rM5n7mj3u12vTudVDuoi0ToatFcvny5dHZ2FqzT6uvrpaOjg7rPJ2j5tsfufSffA1m++kT3+W/3OjWFluBVRGTbtm3y4IMPymuvvSZDQ0NSXV0tN954o1xzzTWufo/fgldTVq8Iu+Hh4YJTLZ2Y8/m/+/5XtmzdIuVl5TJ16vHAKwgyQfjoSefHH/V+NCidMmWKJ13vE7kpqHggUhEU2P1MuzdQFezWadR9+uk8T/zCzevUad2j6sHZzjYF7frTFrx6xW/Ba9Cefvwq0/VeaNT7m2++Kf/zP/8jfz30VzmpokJmfuADEhHJtoAODQ3p3gRXZLre8612lK8L/sQBSKasdqS7NVVFUGBKi47d76fu00v3eeIHbl+nEwkI3X5wNqWecFswmocMEuSRjG6yLEuGhoZG5XLm5n+eOPXSiSPe7XS9T5lSKlOmvE9ERPa9/bbiLZqYSCSSM+q9fFRX+9hu+ONzfU4tL8+Oeg8DnTlaKiY1d/KZuudDzuQIxuNxEZHsDVREcnIEqfvUsdPypvs80U3FdTqRabXcnOnHyTaNzuXVseys28JxZ/ORMI2gHx4elv5j83dmWj2zo9wLTD4/etL5oKyOlpnDL+9cn2VlR/97zBygR3/nVdd7EOia/k1FUODkM/0wH/LoFp/R5RwtTHWfl+wOgvPDeaKTiutU9wOZ022yLCt7DuS7Zk1C8Ooxk0bQj4yMFB313n/CWu+jBxwNDAzIkSNHdG+CK0pKSo4NJMrf6tnX1yff+MY35FB//9FgfeDo1Ev9/UfTD9544w1fHVe4S0VQ4OQzdd9A87X+ZG6SJk7BYxInLW+6zxPdVFynuh/InGxT5lwZ/f7Mf5u43DrBqwZedXGe2PXuZMnNTPd7EGS63svLy2XXrjflzd1vSn9/vwz0H93uo4Hm0Rbi8847X772ta/l5Ina6Xp/e98+bsohpSIocPKZKm+gdrujizFtCh6TOGl50x1o6abiOtX9QOZkm4KWNsKALZ/LrHaUO/ioP2/eZ755P4NyeMvKyk7I+8wd9V42avWj4zmfRwcoje56Vzni0oQpveA+pwMh7ASEfhjFbHcgyNKlS+VnP/tZwc9ZsmSJPPXUUxMqA4pbvny5PProowUnvr/hhhtyBsHpHtiok8oBS7rqfifbFLQBk7S8Kpbpes876v2EVY9Gr3Y0GMCu90KB5/H/zz/vZ1lZmWuj3lW2Ppiw5C7c56T1xW5+otMWHbdbNJ10R+/bt6/oZ433Oibuve99b9Fu4+nTp+f8Lswt3ypbSXXV/U62KWhpI7S8umzLli3y29e3SV9fnwwMDARmtaNoNDpqvs/jo97LRgWjowca5U7PVOarUe9hbn2AOuO1vvhlPlo7nPRQ0PKqz8033yzf//73i76+Zs0aD0vkf0HsIbOzTUyVhYL+0NMjG579/3QXo6D8qx1lWjszv8u/2lFpaWlgRr2ran0I+8o1Yd/+8VpfJpJzpqtFx8lAkAULFsjTTz9dsOt6wYIFqoqZI4zn34EDBwqOGI9EIrJ//34NpfK3IPaQ2dkmpy3Pfr+eCF5d9O677yr9/NLS0lGTzI/X/X68hdTtrvcgcLsCC/ua7WHffjtMmqpoIgPGCgVQXgwECuv5V1VVJdFoNG8LeTQaNa4rGGrZbbgx4XoibcBFBw8elFR7Uvr6+vK+Ho1G8y+xOSbozL/aUSwWU1p+TEzQumOcCvv229Xc3CyrVq0qGOTdddddvmkR8sOAsUw53B7cpoKqVqrxPtcP245gMeacsgKusrLSEhGrsrLSk+/r7++3etJpK93dbf35z3+2/vKXv1gH9u+3Dh8+bI2MjHhSBnirqanJisViloiM+ReLxaympibdRVQq7Ntv14YNG/Luo8y/jRs36i5ijlQqZUWjUSsWi+X8TKVSed+fTqetpqYma9myZVZTU5OVTqcn9f3t7e22vl/3+We3nKo+1+lxAorRfT3ZRdqAy8rLy+Ujmp5K/J6jElQmdQerEPbtt+v555+XaDRasEVj48aNcvnll2soWX5Oc8N1LXup8/xTseSo088N8wwCOMrNe78p9TnBa0CYkKMSVEGbgsSpsG+/XeNV+pO9Kah4eDVhyV2d55+qid+dfm4QByHpZkpjkNv3fmPqc11Nvl7xOm1Ah+7ubisajeZt5o9Go5PuvkNxYd//Yd9+u1R2x6nqutZl2bJlRc+pZcuWZd+r8/xzUk4/fC7sMeV6UnHum1KfM/zcZel0Wpqbm2X58uXS3Nws6XRa+XfaWZ4R6mSmIIlGoxKLxXJ+hmF52LBvv13xeLxod9xER+WP7mIeHh7O+ZlIJKSnp2cyxdbCSeuPzvNvvFaoibZSGdP6FUAmXU92WuidMqY+1x09q+Zly6uup7UlS5YUHQiyZMkSpd+Po9wesGKasG+/HSoG1zht0e3u7s45Tt3d3ZPcKvdNpPVHx/mnahCeytYvE46/TqoHLLm5/1W20Pu9Pid4dYnOyubCCy8sWoFeeOGFk908AC5x+6bg5Abm9AFbZ6Djh1H0421/U1OTFYlE8u77SCQyqUAnHo/n/dxEIjHhzzSlO1wnlQGhk/1v59ozZWYAFQheXaLqJLJzsl966aVFg9dLL710UtvGkzrgX3brHqcP2H4IdHS2/tjZflWBTphzGXWbyL3czj3Syf63e+2F+ZgSvLpk2bJlRZ/AJ1KJ2T0xJ9Lyajcg9cMNzBRhD/LDvv262K0nnNyUg3xTdDPQUNVooeJzw9xK54SqhzxVD5mZHopIJJL9F4Z7NMGrS2666aaiAeTNN9/s+DPtnuxOc155qnNf2IP8sG+/bna62J20EgY10NEdaNilokWXGQzss5uy4uT4293/Tq+99vb2bNAqItn/Dnrdy2wDPmZ3suAFCxYUHXG4YMGC7P87GUmpYiSjSjpmesh8rymjU1WYyPbrOlYqqdgmu5/Z0NAgXV1dsnLlSqmvr5eVK1dKV1dXzjyPTkaw+2Wicjf3qZPz1O72qxqZrWK2AWYwsM/O9STi7B5pd/87ufYy57R1tCEy+x7r2Owlgb736ImZvWNy2oCKp38nT3UmPamrbPmzM2gjiK1Udk2kpSBorbQqtsntz1RVT6ji9vY72San2+92bi45r2ZQMR+xyvM0SAheXaLiJHJS2djt5ghi1+FEKmU3c35NCvJVMGVCeVVMCjRUdIeO/hu3cp5VbL9p56mK2Rb8MINDkDi9R9rZ/ypSEYKI4NUlum82lmXv6T+IgzZUtfzpHrRhirC3FJg2uMZuK6GTukdnK6mqz/RDoKditgW/z99pElXzEds994JYn9pF8OoiVZWdm5XNREcyur1NuiZqVtF1akqQr0rYWwqCPLjGTt2ju5XULlMWPoBZdN73w3zvIXh1mQmVndOLze1tMiWXzckN1A+tNDqFuaXAD62EOpm0/WG/TqGGzvt+WM/piGUVGNYWELNmzZJdu3ZJZWWl7Ny5U3dxfKOnp0eSyaT09vZKVVWVJBIJT9YsTqfTUltbKyMjI2Nei0aj0tXVNaYc6XRa2tvbs2WNx+NSU1OT8/rcuXPzjtCMRCLS3d2d/czly5dLZ2dnwe+vr6+Xjo4OERFpbm6WtrY2GR4eHvPeWCwmK1eulJaWluzvdO1Tv7Cz/RM5/n6nYptM2k9Orim7VG5/2K9T3carz+FcKM9pzcGzcl63vAaRm138KvJTu7u7i870MNFR1E4+F/YFsaXApME1bi8mQSsp7AriTCPQg+AVRbld2eieWsRJjhDBqzNOgiIT0mucMmFwjYrgQWXene7zhFXj3BPm/Ey4j+DVZUGq7FRUNiryU50O7ghzfqYqtKj4n8rgwaRWUpbG1iPI9WmQ7vumIHh1UdAqO91z16paTs+y7LXo+GXEt9/RomIG1cGD7lZSO1gaWx+n9akpAWHQ7vumYHlYlwRxiVAVS0Q6WU7R7nJ68Xi8aDkTiUTe3xf7/8z3F/tcL5ZTNGEZVb8sI2zCvtJJ9ZKv1dXV0tLSIh0dHdLS0uK7ASNBXhrbBE6Wp02lUlJbWyttbW3S2dkpbW1tUltbK+vWrfOmsDYF8b5vDF1Rs1e8XGGrWH6kiV0iuidKV7HCmGXZf1JOpVJ5vzvz75FHHpnw9tvhhyd6O60ffmihdrqvdLbq6PruIHfb2qFqmjzYO6ft1ucmtXqH/ZrSieDVJUuWLCka6CxZskTp96vgh0rE7RXGnGzThRdeWPSYXnjhhcq22w/73m5AqLsCd7qvdD4U6PxuP5xTOgVxaWw/cHJOx+PxvPs0kUhk32PSvuchRx+CV5foDHRUslPZZKhqUXIzl85JxTh79uyix3T27NlubN6ky6mC01kZdAZFqmabcJvu/WRZZg2scpsp54lJVNQTJgWEuuvpMCPn1SWnnHLKpF73mp38wHQ6XTDHKJVK5eTzqMxRcjOXzkne3wc/+MGinzXe65OhOj9xPE5y/pzkMavgZF/pzGX0Qx5lQ0ODdHV1ycqVK6W+vl5WrlwpXV1d0tDQoPy7VRuvTovH43kXPRCRbI5ihu5z2hROzmm773WSG6vbRMZbwB0lugsQFAsWLJBnnnmm4IowCxYs0FCq/FKpVPaisixLIpGIrFq1Strb23NuYnYqm5aWlpyk9RMlEgmpq6vzTWXvpGL8xje+IYsXLy74Wf/+7//udvGydFfgToPnhoYGqaur07LKi5N9pfOhQPcDSUbmYTBIUqmUNDY2SiQSydZpra2tkkwmJxyYqzqng7TClJNz2u574/G4tLa2FnyfnwLCzENOIpHIOfcsy+IhRzUPW3m18CptwJRuJicT76ucqkoXp8cpkUjYTpvQWU63BfWY6hxYadI+NYmKxUxU8cMgTDepmLfbssxLbzFhmrigIXh1kQkX3E033ZS38sj8u/nmm7PvdbJIQLGAwE85SpblLI/Xsixr48aN1oUXXmjNnj3buvDCC62NGzd6Us5UKmVFIpHsvs38N4N7xrJ77W3YsKHo+a/y2Krep6bMi+k2VYuZuM20a8oOlbnxBIRqBKWeIHh1md8vuHnz5hW9ec+bNy/7XruVjZOAeCLcvNhMuoFkWmlGB69uTf9k571OH8Z0V4p2rr2mpqaix19165uqB9ygteg5YUoPke7vV8XJOe204QDuClI9QfAaMk6CV8uyV9moDF7dvthMuYGonP7JyXvtPoyZUinqbn2zLPcfcE16IFPB7jWtez/54dxTxe1pCuG+oO1/gteQcRJoOpnaREXagIqLzZQbiKppfVTsU5MqRacPL7pbk+0w5YEsw+19qmoxE7eZdpzcFvbt1y1o+5+pskLmjjvuKDoy+4477sj+v5OpTYrJ97qdqbpUTC2kexS/Xaqmf1KxT/0wBZRdTqa2MWWJSr/MYmCHin3qZFqrhoYGefbZZ+W8886TWbNmyXnnnSfPPvusJ1OFmTitkptLLpt0ngZR0Pa/p8Hr5s2bZdWqVfIP//APcu6558rcuXOlqanJyyKEXk1NjbS3t0s0GpVIJJL9F41Gpb29Paeit3uyX3bZZUXft2jRopzf2b2BqbjYTLmBqJr+ScU+NalStBvomLRmuSkPZCr3qd35a1OplFxxxRWyefNm2blzp2zevFmuuOIKTx5ITJs71u0HDVPO06AK3P73qonXsizrrrvusubMmWOdffbZ1pVXXmnNmTPHuuuuu5R+J2kD+dkd3GKnm8HJIBin0xqp6OYwYVYIVdM/qdinJnZHjXf+m7RNpqRt6N6nftlPfh/Ua1nO95WdVBC/7P+wCtr+9zR43bZtm9Xd3W0dOXLEevXVVwlefU7Fcn5+WaJR9w3EzdH+TqZ/8kvOq99zSU3Jjc4w4YFM9z7VHTybxMm+cjJY04TzNMiCtP89XWHLT6tMYXx2Vw9R1cWtcvUSFasM2V05x+5qQHZX+Hn++eclGo0WXN1t48aNcvnll4uImn3q9DNVrIbkNtO62HSucGaX7n1qUnqLbnb3ldPVFU04T4MsSPvfqOVhU6mUpFIpR3+zd+9eRaUJBzsnu5Pl/JzewJxcbDqXXbQbkDmt7O0E2ePddL1YytXuZ6pcStjN42/SEpUZOh/I7NC9T3UHzyaxu6/sLiE+WhCXJzZJYPa/tw29x00kbeDBBx+05syZ4+hfSUkJaQMesNsdoSoVQOc8o7rzeFV2h7rdva+qrCqOf5C62CYiaPs0aDl/KqlIGZtIGfycWgS9jApe29vbrYsvvtjRvylTphC8esRuHqnbNzDdNyUnAZmKyt6kBwIVcwKrzLnVnRuti4n55ipWjQszO/vKpIdRBIvj4PX888931PL50ksv5f0cBmyFm5s3MN0DMVQNWHPClAcCFauxOd2n3BjHp/uackrFqnEYf1/5ZQAowsdxzuvSpUvlr3/9q+33n3rqqU6/AhOkM+fTKTfzbnQPxHCSS6cq78/tPNaJ5LLp4uT4q8y5DRLd15QTKvLIcdR4+0rFAFCT6h7o4zh4veeee1SUA5NkwghuVXQPxHASkJoyg4Kq4OXAgQPZ7T1RJBKR/fv3O/5MJ8efG6M9uq8pJzimern94GzSgxP0YXnYADBpNSAVdK+a5XTlHLurAemkKnipqqqSaDR/tRONRif0uU6OPzdGe0t+6r6mnOCY6pd5cO7o6JCWlpZJPYSb9OAEfQheA8CkteVV8MOyi04D0hNvtoVuvrqoCl5UfK6T4x/2G6PdJT/9cE3ZFfZjGjQmPThBn4jl4V1zy5Yt8vjjj4uIyP/+7//KL3/5S5k9e7ace+65IiLy4Q9/WG666SZXv3PWrFmya9cuqayslJ07d7r62X6xfPly6ezsLDhJfX19vXR0dGgombd6enqMmHw5X4pHJm3AT62v69atK5jeMJlyqvpcO8c/nU5LbW1twWulq6vLl+eMGyay7SZcU2E+pkGlqo5AcHgavD7xxBPS3Nxc8PXzzz9ffvSjH7n6nWEIXpubm6WtrU2Gh4fHvBaLxWTlypXkfPmEaTdaVcGLzqAorDfGINcTYT2mQWbCgxP08TR41SEMwatpAVGYBTmAMEkYb4xB76EJ4zEFwsqo5WGRn8oR7HAXg0v8IYzTJQU9NzSMxxQIK4LXgFCxXj3cF/QAAv6lao5hAPAaaQOAh0jxgE7khgIIAlpeAQ+R4gGd6KEBEAS0vAIaMLgkeExantmuIG4TAPMRvALAJJkyd68TQdwmAMFA8BpStKgA7ghiHnMQtwlAcLA8bAjZXSISwPiCuDxzELcJQHAwYCtk0um0NDY25m1RSSQSUldXR4sK4EAQ5+4N4jZNBD1UgD/R8hoytKgA7gri3L1B3Can6KEC/IvgNWRoUQHcFY/Hi15TJk7+H8RtcmJ0D9Xw8HDOz0QiIT09PbqLCIQawWvI0KICuCszd280GpVYLJbz09S5e4O4TU7QQwX4G7MNhAyjiAE1gjh3bxC3yY7ly5dLZ2dnwXqyvr5eOjo6NJQMgAgDtkKHFZ4ANaqrq6WlpUV3MVwVxG2ygx4qwN9oeQ2psLaowBlGWyOM6KEC/I3gFUBerLCEMFu3bl3BHirOf0AvglcAY9DyBNBDBfgVOa9ACI2XDmBntHUYcyGLIcUieMKa8wv4HcErEDL50gFaW1tzukOZD9gZO/sUzvFAACAf5nkFQsTu5OuMtraPCe3VSKVSMnfuXFm1apX853/+p6xatUrmzp3LClcACF6BMLE7+XrYV1hyggnt3ZdOpyWRSIhlWdnzMPPf8XicBwIg5AhegRCxmw4Q9hWWnCDFwn333Xdf0X163333eVwiAH5CzisQIk7SARoaGqSuro7R1uMgxcJ9L7zwQtHXN23a5FFJAPgRU2UBIcIUWO5jn7pv/vz58sYbbxR8fd68efL73//ewxIB8BPSBoAQIR3AfexT91188cVFX7/kkks8KgkAP6LlFQghJl93H/vUPel0WubOnZs37zUSiUh3dzf7FggxglcAgO9klmcdfYvKzN7A3LlAuBG8AuNgonRAD1qzAeRD8AoUkW/lJMuyaP0BAEATglegAEaRAwDgP8w2ABTAykkAAPgPixQABbByEuA+csgBTBbBK1AAKycB7sqXQ97a2koOOQBHyHkFCiDnFXAP1xMAt5DzChTAykmAe8ghB+AW0gaAIhoaGqSuro65JoFJIoccgFsIXoFxVFdXS0tLi+5iAEYjhxyAW0gbAAAoF4/Hi7a8JhIJj0sEwFQErwAA5cghB+AWZhsAAHimp6eHHHIAk0LwCgAAAGOQNgAAAABjeDbbwKFDh+S5556T559/XrZv3y67d++WKVOmSG1trSxbtkyWLl3qVVEAAABgKM+C1y1btsidd94p73vf++Siiy6SxYsXy759++S5556Tf/3Xf5VXX31V7rnnHq+KAwAAAAN5lvO6fft2SafTcuWVV0ppaWn292+//bbU19fLrl275LHHHpOPfvSjrn4vOa8AAADB4VnOa21trVx99dU5gauIyKmnnio33HCDiIhs3rzZq+IAAADAQL4YsFVScjR7IRaLaS4JAAAA/Ez78rDDw8Pyk5/8RCKRiHziE58o+t5UKiWpVMrR5+/du3cyxQMAAICPaA9ev/Od70h3d7d85jOfkTlz5hR9b19fn+zZs8fR54+MjEymeAAAAPARx8HrBRdcIO+++67t9//whz+UCy64IO9rjz76qKxdu1bmz58vd99997ifVVFRITNnzrT93SIivb29jt4PAAAA/3IcvC5dulT++te/2n7/qaeemvf369evl6997WsyZ84caW9vl/e85z3jftaKFStkxYoVtr9b5PhsAwAAADCfluVhH3/8cbnnnnvkIx/5iPzwhz+Uk08+Wdl3MVUWAABAcHg+28Djjz8uX/nKV+TDH/6wPPLII0oDVwAAAASLp8HrY489lhO4nnLKKV5+PQAAAAzn2WwD//3f/y333HOPWJYlCxculI6OjjHvmTdvnixatMirIgEAAMAwngWvu3fvlkx67aOPPpr3PZ/+9KcJXgEAAFCQlgFbXmLAFgAAQHD4YnlYAAAAwI7At7xOmTJFhoaGJBqNyt/8zd/oLg4AAAAK+MAHPiBbtmwp+h7ty8OqNjw8LCJHl4llsQIAAACzBT54LS8vl4GBAYnFYvL+97/fk+/cu3evjIyMSDQaldNOO82T74RzHCczcJzMwbEyA8fJDGE9Th/4wAfGfU/g0wZ0uOSSS2TPnj0yc+ZM2bRpk+7ioACOkxk4TubgWJmB42QGjlNhDNgCAACAMQheAQAAYAyCVwAAABiD4BUAAADGIHgFAACAMQheAQAAYAyCVwAAABiD4BUAAADGIHgFAACAMQheAQAAYAyCVwAAABijRHcBgmjFihXS19cnFRUVuouCIjhOZuA4mYNjZQaOkxk4ToVFLMuydBcCAAAAsIO0AQAAABiD4BUAAADGIHgFAACAMQheAQAAYAyCVwAAABiDqbJctG3bNnnooYfktddek6GhIamurpYbb7xRrr76at1FC52f/vSnsnXrVvntb38r3d3dMjQ0JC0tLXLdddflfX9fX5889NBDsmHDBtm7d6+cdtppsnjxYrntttuYpkSRPXv2yDPPPCObNm2SP/7xj/L222/L9OnT5ZxzzpHGxkY5++yzx/wNx0mPAwcOyIMPPiivv/667Ny5U/bv3y8zZsyQD33oQ/K5z31OFi9eLJFIJOdvOFb+8PDDD8t9990nIiKPPvqofOxjHxvzHo6V9y677DLZtWtX3tduuOEG+cY3vpHzO45RLqbKcslvfvMbSSQSUlpaKkuWLJGTTjpJNmzYIDt37pQvfelL8oUvfEF3EUMlUzHMmDFDpk2bJrt27SoYvB46dEj+7u/+Tt544w355Cc/KfPnz5ft27fLCy+8IPPmzZMf//jHMm3aNA1bEWz33XefPPzwwzJ79mw577zz5JRTTpEdO3bIxo0bxbIsuf/+++Wqq67Kvp/jpM+OHTvk2muvlbPPPltmz54t73vf+2Tfvn3y85//XPbt2yf19fXyb//2b9n3c6z84Q9/+INce+21UlJSIocOHcobvHKs9LjsssvkwIEDcuONN4557ayzzpJPfepT2f/nGOVhYdKGhoasRYsWWWeddZb1u9/9Lvv7gwcPWkuWLLHmz59v/elPf9JXwBB68cUXrZ07d1qWZVlr16615syZY61fvz7ve7/zne9Yc+bMsVpbW/P+/jvf+Y7y8obRs88+a23evHnM7zdv3mydeeaZ1vnnn28NDg5mf89x0ufIkSPW0NDQmN8fPHjQuuqqq6w5c+ZY3d3d2d9zrPQ7cuSI9ZnPfMa6/vrrrTvuuMOaM2eO9eqrr455H8dKj0996lPWpz71KVvv5RiNRc6rC1566SX585//LEuXLpX58+dnf19RUSFf/OIX5ciRI/LEE09oLGH4fOITn5DKyspx32dZljz22GMybdo0+ad/+qec126++WaZPn26PP7442LRQeG6xYsXy8KFC8f8fuHChXLBBRfIu+++K11dXSLCcdItFotJScnYLLOKigqpq6sTkaOtsyIcK794+OGHZfv27fLNb35TYrFY3vdwrPyPY5QfwasLXn75ZRGRbCU+2ic/+cmc98Bfent75S9/+Yucc845Y7pdysrKZOHChbJnz57sjRneyARKmZ8cJ38aHByUl156SSKRiFRXV4sIx8oPuru7ZfXq1XLLLbdITU1NwfdxrPQ6fPiwPPnkk7JmzRr58Y9/LNu3bx/zHo5RfgzYckFvb6+IiJxxxhljXps+fbrMmDEjdCeWKTLHpaqqKu/rmWO6Y8eOgu+Bu95880359a9/LaeddprMmTNHRDhOfnHgwAF55JFHZGRkRPbt2yebNm2S3bt3y6233prd7xwrvY4cOSJNTU3ykY98RG666aai7+VY6bV3715pamrK+d3FF18sra2tcvLJJ4sIx6gQglcX9PX1iYjISSedlPf1iooKeeutt7wsEmw6ePCgiEjB0ZqZ32feB7WGhobkzjvvlMOHD8sdd9yR7e7kOPnDgQMHZPXq1dn/Ly0tlTvvvFPi8Xj2dxwrvdasWSNdXV3S2dkppaWlRd/LsdLnuuuuk/PPP1+qq6tlypQp8oc//EFWr14tmzZtki9+8YvS0dEhkUiEY1QAwSsAXxgZGZEvf/nLsnnzZqmvr5drr71Wd5FwglmzZklXV5cMDw/L7t275emnn5YHHnhAXn31Vfn2t7+dNy8W3tm+fbusWbNG4vG4nHnmmbqLgyJuvfXWnP8/++yzZe3atfL3f//3snXrVvnlL38pl156qZ7CGYCcVxeM9+TT19dXsFUWemWOS6b1/ETjtarDHZZlyVe+8hX5r//6L7nmmmvk61//es7rHCd/icViMmvWLLnpppvk9ttvl+eee046OztFhGOl01133SWnn3663Hbbbbbez7Hyl2g0mp3O8ZVXXhERjlEhBK8uODHXa7T9+/fLO++8kzcfFvpljksmb/lEmWPK8VMn0+K6fv16Wbp0qXzrW9+SaDS3auI4+VdmoGpmUCrHSp/t27fLH//4R1mwYIHMnTs3++/JJ58UkaOT38+dO1c2btwoIhwrP5oxY4aIiPT394sIx6gQ+nhccN5558natWvlV7/6lSxZsiTntRdffFFERM4//3wdRcM4qqqq5P3vf7+88sorcujQoZzRnIODg7JlyxZ5//vfH7qKwSsjIyNy9913yxNPPCFXXXWVtLa25p3Wh+PkX3v27BERyR43jpU+119/fd7fb9myRXp7e+Wyyy6Tk08+OTuNIMfKf7Zt2yYiwjEaBy2vLrjooovk9NNPl6eeekreeOON7O/7+vrke9/7npSUlMinP/1pjSVEIZFIRD772c/KoUOH5Lvf/W7Oa2vXrpX9+/fLZz/72TFLX2LyRgeuV155pbS1tRWcj5LjpNcbb7yRNy3q3XfflQceeEBERC655BIR4VjpdO+99+b99/GPf1xEjs4Leu+998q8efNEhGOlS09Pjxw4cGDM77ds2SKpVEqmTJkiixcvFhGOUSEsD+uSl156SRobG6W0tFSWLl0qFRUV2eVhb7/9drnlllt0FzFUHnvsMdm6dauIHJ3z8He/+52cc8452afTRYsWyaJFi0Rk7NJ7Z555pmzfvl02bdoU3qX3PPDQQw/J6tWrZdq0afL5z38+72CfRYsWZW+0HCd97r33Xnn88cflggsukA9+8IMydepUefPNN+UXv/iFHDp0SK644gr59re/nU334Fj5S1NTkzz55JO2loflWKn30EMPyQ9+8AO56KKLpLKyUqZMmSLd3d3y4osvSjQala9//evy2c9+Nvt+jtFYBK8u2rZtmzz44IPy2muvydDQkFRXV8uNN94o11xzje6ihU6msi7k1ltvzRnUcPDgQVm9erU8++yz8vbbb8upp54qV1xxhdx6662hS4T3ynjHSESkpaUlO4BBhOOky5YtW2T9+vXy2muvyV/+8hcZGBiQ6dOny/z58+Xaa6+VJUuWjGn54Vj5R7HgVYRj5bWXX35ZfvzjH8vvf/97efvtt+Xw4cNyyimnyLnnnisNDQ3y0Y9+dMzfcIxyEbwCAADAGOS8AgAAwBgErwAAADAGwSsAAACMQfAKAAAAYxC8AgAAwBgErwAAADAGwSsAAACMQfAKAAAAYxC8AgAAwBgErwAAADAGwSsAAACMQfAKAAAAY/z/q9Ds1HAoOiQAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# zscore each array - combined plot\n", + "\n", + "all_end_zscore = np.concatenate([\n", + " sp.stats.zscore(pippin_target_list_content),sp.stats.zscore(tonks_target_list_content),\n", + " sp.stats.zscore(ginny_target_list_content),sp.stats.zscore(ron_target_list_content),\n", + " sp.stats.zscore(molly_target_list_content),sp.stats.zscore(arthur_target_list_content),])\n", + "all_rats_session = np.concatenate([pippin_session_list_content,tonks_session_list_content,\n", + " ginny_session_list_content,ron_session_list_content,\n", + " molly_session_list_content,arthur_session_list_content])\n", + "\n", + "print(sp.stats.linregress(all_rats_session,all_end_zscore))\n", + "[a,b,c,d,e] = sp.stats.linregress(all_rats_session,all_end_zscore)\n", + "\n", + "# plot combined graph\n", + "\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 10\n", + "plt.rcParams['ytick.major.width'] = 3\n", + "plt.rcParams['xtick.major.width'] = 3\n", + "\n", + "fig, ax = plt.subplots()\n", + "fig.set_size_inches(8, 5)\n", + "#plt.figure()\n", + "#plt.figure(figsize=(3,3))\n", + "ax.scatter(all_rats_session,all_end_zscore,s=25,c='k')\n", + "# purple: #950095, orange: #F7941E, grey: #858483, pink: #ef94f7, blue/purp: #525fab\n", + "# regression line\n", + "ax.plot(np.arange(0,session_list[-1])*a+b,color='#858483',linewidth=3)\n", + "\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.spines['bottom'].set_color('black')\n", + "ax.spines['left'].set_color('black')\n", + "ax.tick_params(labelbottom=True, labeltop=False, labelleft=True, labelright=False,\n", + " bottom=True, top=False, left=True, right=False)\n", + "ax.locator_params(nbins=10, axis='x')\n", + "\n", + "# change thickness spines\n", + "for axis in ['top','bottom','left']:\n", + " ax.spines[axis].set_linewidth(2)\n", + "for axis in ['top']: \n", + " ax.spines[axis].set_linewidth(0)\n", + "\n", + "# increase tick width\n", + "ax.tick_params(width=2)\n", + "\n", + "plt.ylim(-2.2,4.5)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 391, + "id": "e1405bb2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Mixed Linear Model Regression Results\n", + "================================================================\n", + "Model: MixedLM Dependent Variable: arm_representation\n", + "No. Observations: 148 Method: REML \n", + "No. Groups: 6 Scale: 0.0002 \n", + "Min. group size: 14 Log-Likelihood: 423.0467 \n", + "Max. group size: 45 Converged: Yes \n", + "Mean group size: 24.7 \n", + "-----------------------------------------------------------------\n", + " Coef. Std.Err. z P>|z| [0.025 0.975]\n", + "-----------------------------------------------------------------\n", + "Intercept 0.018 0.002 7.309 0.000 0.013 0.022\n", + "content_sessions -0.004 0.002 -1.832 0.067 -0.008 0.000\n", + "Group Var 0.000 0.001 \n", + "================================================================\n", + "\n", + "Intercept 2.685482e-13\n", + "content_sessions 6.688553e-02\n", + "Group Var 2.296978e-01\n", + "dtype: float64\n" + ] + } + ], + "source": [ + "# grouped analysis: LME\n", + "\n", + "import statsmodels.api as sm\n", + "import statsmodels.formula.api as smf\n", + "\n", + "arthur_first = arthur_head_dir_target.copy()\n", + "arthur_second = arthur_content_target.copy()\n", + " \n", + "ginny_first = ginny_head_dir_target.copy()\n", + "ginny_second = ginny_content_target.copy()\n", + " \n", + "tonks_first = tonks_head_dir_target.copy()\n", + "tonks_second = tonks_content_target.copy()\n", + " \n", + "molly_first = molly_head_dir_target.copy()\n", + "molly_second = molly_content_target.copy()\n", + " \n", + "ron_first = ron_head_dir_target.copy()\n", + "ron_second = ron_content_target.copy()\n", + " \n", + "pippin_first = pippin_head_dir_target.copy()\n", + "pippin_second = pippin_content_target.copy()\n", + "\n", + "# make combined lists\n", + "content_list_lmm = np.concatenate([np.ones(len(arthur_first)), np.zeros(len(arthur_second)), \n", + " np.ones(len(ginny_first)), np.zeros(len(ginny_second)), \n", + " np.ones(len(tonks_first)), np.zeros(len(tonks_second)), \n", + " np.ones(len(molly_first)), np.zeros(len(molly_second)), \n", + " np.ones(len(ron_first)), np.zeros(len(ron_second)), \n", + " np.ones(len(pippin_first)), np.zeros(len(pippin_second)), ])\n", + "\n", + "rat_list_lmm = np.concatenate([ np.zeros(len(arthur_first)),np.zeros(len(arthur_second)), \n", + " np.ones(len(ginny_first)), np.ones(len(ginny_second)), \n", + " np.ones(len(tonks_first))*2, np.ones(len(tonks_second))*2, \n", + " np.ones(len(molly_first))*3, np.ones(len(molly_second))*3, \n", + " np.ones(len(ron_first))*4, np.ones(len(ron_second))*4, \n", + " np.ones(len(pippin_first))*5, np.ones(len(pippin_second))*5, ])\n", + "\n", + "# not normalized\n", + "arm_rep_lmm = np.concatenate([arthur_first, arthur_second, \n", + " ginny_first, ginny_second, \n", + " tonks_first, tonks_second, \n", + " molly_first, molly_second, \n", + " ron_first, ron_second, \n", + " pippin_first, pippin_second, ])\n", + "\n", + "lmm_input_table = pd.DataFrame(np.concatenate([np.expand_dims(content_list_lmm,axis=1),\n", + " np.expand_dims(arm_rep_lmm,axis=1),\n", + " np.expand_dims(rat_list_lmm,axis=1),],axis=1),\n", + " columns=['content_sessions','arm_representation','rat'])\n", + "# generate model\n", + "# use + to add more confients \n", + "# content_list + [date]\n", + "md = smf.mixedlm(\"arm_representation ~ content_sessions\", lmm_input_table, groups=lmm_input_table[\"rat\"])\n", + "mdf = md.fit(method=[\"lbfgs\"])\n", + "print(mdf.summary())\n", + "print(mdf.pvalues)" + ] + }, + { + "cell_type": "markdown", + "id": "66b6b23d", + "metadata": {}, + "source": [ + "## Figure 6 - cell assemblies" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "5ea111ee", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[2024-11-30 17:25:57,028][INFO]: Connecting mcoulter@lmf-db.cin.ucsf.edu:3306\n", + "[2024-11-30 17:25:57,127][INFO]: Connected mcoulter@lmf-db.cin.ucsf.edu:3306\n", + "[17:26:01][WARNING] Spyglass: Please update position_tools to >= 0.1.0\n", + "30-Nov-24 17:26:14 Cupy is not installed or GPU is not detected. Ignore this message if not using GPU\n" + ] + } + ], + "source": [ + "import xarray as xr\n", + "import matplotlib.pyplot as plt\n", + "import pickle\n", + "from pynwb import NWBFile, TimeSeries, NWBHDF5IO\n", + "import matplotlib" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c15a41b4", + "metadata": {}, + "outputs": [], + "source": [ + "# Figure 6A - examples" + ] + }, + { + "cell_type": "code", + "execution_count": 184, + "id": "f3da14ff", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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RTHWL2UCJiDpT+dtzjdYb6upFZRpqNaJtnn/7pNPq1B2wBUBEJFMMAEREMsUAQEQkU8wBEFGPp9cZP/dKr20Ql2kQbyt8cZLR+qB16R1bMStjC4CISKYYAIiIZIoBgIhIphgAiIhkiklgIupRKv+xQLRNpzEe5NWg0YrKaGvFg8O0EoPDehIGACJqkytXriAlJQVHjx7FhQsXoNFo4Ovri5iYGERHR8PGxsbaVSQzMQAQUZucOnUK27dvx1NPPYWXXnoJKpUKhw4dwptvvomsrCy888471q4imYkBgKgH0Wg0UCgUUKk6/qs9bNgw7N27F7a2tsK2MWPGQKPRICUlBQsWLMDAgQM7/HWp8zAJTNTNFBYWIiEhAePGjcO9996LBx98EHPnzsXZs2eNyv34448ICAjAtm3bsHLlSjz44IMYOnQoCgsLsWTJEoSGhiI/Px8zZ85ESEgIHnjgAaxfvx4AkJWVhdjYWISEhCAqKgrp6a0PcHJ2dja6+DcJDg4GAJSUlHTAu6euxBYAUTdz5coV9OvXD4sXL4arqysqKyuRnp6OqVOnIj09Hf7+/kblV69ejZCQECxfvhxKpRJubm4AGlsD8+fPxzPPPIOZM2fi66+/xqpVq1BVVYU9e/Zg9uzZ8PT0xKeffoolS5bgjjvuQFBQkNn1PXr0KFQqFXx9fTvi7ZutOjnRaF2rrhOV0dysMVqvu6EWl6mROE7NJDARdaGwsDCEhYUJ6w0NDQgPD8fjjz+O1NRUJCQkGJX38fHBe++9JzqPRqPBwoULMW7cOADAiBEjcPDgQaxbtw7p6ekIDAwEAAQFBeH+++/Hzp07zQ4AP/zwA7Zv347p06fDxcXF3LdKVsYAQNTNaLVaJCcnY8eOHbh48SI0Brcw5ufni8o3XeBNKRQKhIeHC+sqlQqDBg2CjY2NcPEHgH79+sHV1RWXLl0yq56nTp3CwoULce+992Lx4sVmHUvdAwMAUTezcuVKpKSkYPbs2QgLC4OzszMUCgWWLl2KujpxN8WAAQMkz+Po6Ah7e3ujbba2tujXr5+orJ2dneS5m5OXl4f4+HgMGjQIGzZsgJ2dXZuPpe6DAYCom9mxYweefvppvPLKK0bbKyoq0LdvX1F5hULRVVUD0HjxnzFjBm677TZs3LgRffr06bLXVm/9u2ib9sZNo/XqS9dEZcoLrhqfp0KcA9DWimcD7el4FxBRN6NQKER32xw8eBClpaVWqtHvTp8+jRkzZsDDwwMbN26Es7OztatE7cAWAFE38/DDDwt3+wQEBODUqVP46KOP4OnpadV6FRQU4IUXXgAALFq0CIWFhSgsLBT2+/j4wNXV1Uq1I0swABB1M2+88QZUKhXWr1+PmpoaBAYGYu3atXj33XetWq+srCxcv34dADB37lzR/nfeeQeTJ0/u4lpReyj0er2+9WI9T01NDUJDQwEAJ0+ehJOTk5VrREStkcoB1Bf/ZrReea5IVKajcgAPZp9otYw1mXtdYwuAiG4ZuspK0baa364YrZeeEt/OWnq43KLXe1x7tvVCtzAmgYmIZIoBgIhIphgAiIhkigGAiEimmAQmom5J/dlK0bb6a+Jk7o3iMqP18lxxorgtenrCVwpbAEREMsUAQEQkUwwAREQyxRwAEXULtV+tMVpvuHFDXKZc3L+vvm48qrdBrWv1teTY3y+FLQAiIpliACAikikGACIimWIAICKSKSaBiahb0Gs1RusNN6tEZTRVtaJtShvjR2L2uUM8BXJ3n8bZWtgCICKSKQYAIiKZYgAgIpIpBgAiIpliEpiIulzNwf+ItikajJ/Jq6mqEZWpl0gCK5TGSeBeAxzbWTv5YAuAiEimGACIiGSKAYCISKaYAyCiTlWW/YNom6PSRrRNpzae1bO2TDzzZ22lOC+gURsPIBuW8b/mVlG22AIgIpIpBgAiIpliACAikikGACIimWISmIg6l0Ih3qSpF23TlFcYrVeVXBeVuVkiMUNotdbyuskcWwBERDLFAEBEJFMMAEREMsUcABF1qOJfco3WnXQNojIKdbVoW/31m0br6uviid9qy+tE2x45n21uFen/sAVARCRTDABERDJlURfQqVOn8P333+P48eM4d+4cysrKYGtrC3d3d4SGhiI6OhrDhw9v8/kOHTqErVu3Ijs7G+Xl5XB1dUVwcDCmTp2Khx56yJIqEhFRK8wOANOmTcOxY8dE2zUaDS5cuIALFy4gPT0dTz31FN566y3Y2dk1ey69Xo9ly5YhNTXVaHtpaSn27t2LvXv3IiYmBsuXL4dC4l5iIiKynNkBoLS0FADg7u6Oxx57DMOHD8fAgQOh0+mQlZWFjRs3orS0FNu3b0dDQwNWrVrV7LnWrFkjXPwDAwMxa9YseHt7o6ioCMnJycjLy0NqaipcXFywaNEiC98iEXUlG53xwCyVRi0qo6+5KdqmrTMeHGZjK+6hVtjyh2BHMjsA+Pv7Y9GiRYiKioKNjfGUriEhIXjyyScRGxuLCxcuYOfOnYiNjZXsDiosLERycjIAICgoCCkpKXBwcAAABAcHIyIiAtOmTUNubi6Sk5MxZcoU+Pj4WPIeiYhIgtlJ4HXr1mHChAmii38TV1dXLFmyRFjfvXu3ZLlNmzZBq238pZCYmChc/Js4OjoiMTERAKDVarF582Zzq0pERC3olLuARowYISwXFRWJ9uv1emRkZABobFGEhIRInickJAR+fn4AgH379kGv13d8ZYmIZKpTAoBG8/sTeqSSt8XFxUIuISwsrMVzNQWTkpISFBcXd2AtiYjkrVNGAhveJeTv7y/an5+f3+J+Q4b7CwoK4O3tLVmuvLzcrDqq1eLEFBGZx3TULwA41hvP2GlbeUVUpqFM4vuqM27h2zraioo8fPpnM2tILenwAKDT6bB+/Xphffz48aIyly9fFpY9PT1bPJ/hfsPjTI0ePdqcahIRyV6HdwFt2rQJ2dmNc3OMHTsWQ4cOFZWprv59HhAnJ6cWz+fo6Cgs19SIHwhNRESW6dAAkJmZKdz37+bmhjfffFOyXF3d7xM62dqKm3mGDAeS1daKJ4ciIiLLdFgX0Llz5zBv3jxotVrY2dlhzZo16N+/v2RZe3t7YdkwYSylvv73wSGmt4oSkXXZacStcocbJUbr+uJfRWXUv5WIttVXGeflbOw4WXFn65D/4aKiIsTHx6OyshI2NjZYvXq10a2gpnr16iUst9atY5isbam76MiRI2bUuPG8ERERZh1DRNSTtDsAlJaWYsaMGbhy5QoUCgVWrFiBsWPHtniMYWK3pET8S8CQ4f6BAwc2W87V1bWNNW7EfAIRyV27cgDl5eWIj48XBnslJibi6aefbvW4IUOGCMsFBQUtljXc39oto0RE1HYWB4CbN29i1qxZOH/+PABg8eLFeO6559p0rJeXF9zd3QFAcmZRQ037PTw84OXlZWl1iYjIhEVdQGq1GnPmzMGpU6cAAHPnzsWcOXPafLxCoUBkZCQ+++wzFBQUICsrS3I6iKysLKEFEBkZySmhiazst7PGj1900ogf7WhTZjxep+rXi6IyN4quirZpaowf93jXF3stqSKZwewWQH19PebNm4cTJ04AAKZPn27RVM1xcXFQqRrjT1JSkugWz9raWiQlJQEAVCoV4uLizH4NIiJqntktgMWLF+OHH34AAIwaNQrR0dH45Zdfmi1va2srTOhmyM/PD/Hx8Vi/fj1yc3MRGxuL2bNnC88D2LBhA/Ly8gAAM2fOhK+vr7lVJSKiFpgdAL777jth+ejRo3jyySdbLH/77bdj//79kvsWLVqEsrIypKWlIS8vT7IlER0djYULF5pbTSIiaoVVR1oolUqsWLECUVFRSE1NRU5ODioqKuDi4oKhQ4ciJiYG4eHh1qwiEVGPZXYAOHv2bIdXIjw8nBd6oluAAsYzdtpoxNOz6GuME8Oam+IxN/VV4uPuTtvXztqRuTrleQBERNT9MQAQEckUAwARkUxxuj0iklR47oxom11bnsutMp7i3a5vL1ERu96c2bc7YAuAiEimGACIiGSKAYCISKYYAIiIZIpJYCKSZDroCwAU+gaTDeLfkIpevY3W7T0HiMoMXrahfZWjDsEWABGRTDEAEBHJFAMAEZFMMQdARJJsdBrxtgaTbXqdqIze1t74GOd+HVkt6kBsARARyRQDABGRTDEAEBHJFAMAEZFMMQlMRJKkksBKndZoXaFrEJWBQmG06vjM6x1aL+o4bAEQEckUAwARkUwxABARyRQDABGRTDEJTESSbLW1om02DXVG64oGragM2vLYSOoW2AIgIpIpBgAiIpliACAikinmAIhIko1UDkBjmgMQDxaTmiGUuie2AIiIZIoBgIhIphgAiIhkigGAiEimmAQmIlw/sU+0zUZbL9qmMNkmlQR2HBffcRWjTsUWABGRTDEAEBHJFAMAEZFMMQAQEckUk8BEMlSRdcBo3Ubi0Y5SCV7TbQqtxEhgumWwBUBEJFMMAEREMsUAQEQkU8wBEMmQvg2//fQKcRmlyUyfjo/GdVidqOuxBUBEJFMMAEREMsUAQEQkUwwAREQyxSQwkQzpbYy/+jq9+FIgNTjM6aGYTqsTdT22AIiIZIoBgIhIphgAiIhkigGAiEimmAQm6uEun8kSbbNR2pps0IsP1Etsox6FLQAiIpliACAikikGACIimWIOgKiH00nM6qlQGn/1FSazfAKAwsau0+pE3QNbAEREMsUAQEQkUwwAREQyxQBARCRTTAJTm5Rl/yDaZqe+brSut7EVlal36Cva1j9otNmvr967SbStoeAX0bbeL64wWr+8+FlxnarUom0FGflG69UX6sysYds9rj3baecu/iVXtE0hUc70cY8NEp/dgKBRHVUt6qbYAiAikikGACIimWIAICKSKeYACFdOZRqt6xXiXmOVxDadynigUIPKQVSmQSn+EyvNO2a0rpR48pRtfZXRur3SRlRG6SB+vcp/LDBad/RwE5VxGih+L8Fe7kbrV7MLRGXOp18UbTPlFekh2uY2xPjc196cJSrT/83kVs8tpfznQ0brKrteEqWksgBEbAEQEckWAwARkUwxABARyRQDABGRTDEJLDNSA7qUpglWiQdBKSQStXqT43QSg4lMBxwB4pknlXrxuUWJ4QaNuFISlHYmM1gqJV7fVvxnr+rnbLTu5S5OHns9MszkPOL3qzB9fQAKlenTt8QJbfXWv4u2OU59zWi95uB/RGVsnfoZv5bE/6XO9OlfAGCS1HcbOkZchno8tgCIiGSKAYCISKY6tAvob3/7Gz766CNhfcuWLRg5cmSLxxw6dAhbt25FdnY2ysvL4erqiuDgYEydOhUPPfRQR1aPiIgMdFgAOHPmDDZv3tzm8nq9HsuWLUNqaqrR9tLSUuzduxd79+5FTEwMli9fDoXEICQiImqfDgkAOp0OS5cuhVarhZubG8rKylo9Zs2aNcLFPzAwELNmzYK3tzeKioqQnJyMvLw8pKamwsXFBYsWLeqIasqS6UhRyVAqfhqgiFRyEXqJbLHoOIlHDZocJ5VgVmpqjcvU1YrK6BrExylUxglWyUStSuLP3iQxq7SRKGNvb3weO3txGakfKxJJXxGd+P9Svfsj4w0OjuKX09Ybv5TE6ytsJD47/qgidFAOYMuWLcjJyYG/vz+io6NbLV9YWIjk5Mah70FBQfjss88wceJEBAcHY+LEifjPf/6DoKAgAEBycjIuXmx9CD4REZmn3QHg8uXLePfddwEAb775JmwlfnGZ2rRpE7RaLQAgMTERDiZzujg6OiIxMREAoNVqzepaIiKitml3AFi+fDlqamowadKkVhO+QGPff0ZGBgDA398fISEhkuVCQkLg5+cHANi3bx/0behuICKitmtXDmDXrl04cOAA+vXrh9dff71NxxQXF6O0tBQAEBYW1mLZESNG4Ndff0VJSQmKi4vh7e3dbNny8vK2VxyAWi1+KtStrjzrvxYdp2hDEkCqL990sJZUX75CITGLp0k+QdlQLy5Tb/z56NXVojJ6jcTgMNOBZ1J93RKDw0TnbtCKT60z+bpI/J9A4v2KBsNJDI6T/ClmmjuQOs70/UmVkSA1QI/kx+IAcOPGDaxY0fj4vVdffRWurq5tOi4///dH7/n7+7dY1nB/QUFBiwFg9GjzHzNIRCRnFv8M+Pvf/46rV68iNDS0TYnfJpcvXxaWPT09WyxruN/wOCIiaj+LAsDx48fxxRdfQKVSmX2ffnX17015JyenFss6Ov5+21tNTY35FSUiomaZHQDq6+vxl7/8BXq9HnFxcQgICDDr+Lq6OmG5tTuG7Awm1qqtFd8HTkREljM7B7Bu3Trk5+fjtttuw7x588x+QXuDwTQaqSSegfr635ODpreKmjpy5IhZ9VCr1YiIiDDrmO6uLclcKXp9xyQElTqppKzEwCSTBKtNvTghr6yuNFrXVUslgSUStaaJ0zYkfAFArzU+l1SCWWk68ExiIBpsJWYDNd0gMTBMMimrMP56ms6+CgB6kxlYdRID2KRmA5U6F8mPWQEgPz8f69atAwAsXbq01S4cKb16/f7M0ta6dQzv1GnttdqahG7raxMR9XRmBYDNmzdDo9HA29sbtbW1+Oabb0Rlzp07JywfPXoU165dAwA88sgjcHJyMkrslpSUtPh6hvsHDhxoTlWJiKgVZgWApi6ZoqIivPLKK62W//DDD4XljIwMODk5YciQIcK2goKCFo833N/aLaNERGSeLh8N4uXlBXd3dwDAsWPHWizbtN/DwwNeXl6dXjciIjkxqwWwcuVKrFy5ssUya9euxfvvvw9A+nkACoUCkZGR+Oyzz1BQUICsrCzJ6SCysrKEFkBkZCSnhG4Dl5BHOuQ8bR1RrDf5TCRn/pQYUWvTUGe8XntTfO4bxknghmpxzkYvNRtom2beFNdTX2c8GrlBIumsM50x1EliBLOjeMZOU47Rrbee2+r6yQyj9QaV+GYJXVtGJ5MsWeWvIC4uDqr/m5I3KSlJdItnbW0tkpKSAAAqlQpxcXFdXkciop7OKgHAz88P8fHxAIDc3FzExsZi165dyMnJwa5duxAbG4vc3FwAwMyZM+Hr62uNahIR9Wgd+khIcyxatAhlZWVIS0tDXl6e5ENfoqOjsXDhwq6vHBGRDFgtACiVSqxYsQJRUVFITU1FTk4OKioq4OLigqFDhyImJgbh4eHWqp6suYaI/98rsg6ICyra8GQvhXgab9OBX8qb10VltJXG2xpqJAaL2Vr25yuVO9CZdEM6v/qeRefuav1CI43WS/PEN1awv5+a0+EBYP78+Zg/f36by4eHh/NCT0RkBfxpQEQkUwwAREQyxQBARCRTVksC061FapBZ5U/fGa1LJoH1EjN2ao0HUOnrxFN9mw7M0ksM3pKiUNmYrEv8iUs8X7rvon+26fzdnZ6DvsgM/MsgIpIpBgAiIpliACAikikGACIimWISmCzmfN+4Vsvc/HGnaJvOvpfRutLVQ1RGZfKIRmWNeHZOqQSvsncfo3W9Ux9RGanHNvYUOj7qkczAFgARkUwxABARyRQDABGRTDEHQJ2qz8jHLTrOdPZRG414sBgkBjhpTZ6IpbUVP6FLpxT/2bf+HK9bw20B94q2XT6T1fUVoVsCWwBERDLFAEBEJFMMAEREMsUAQEQkU0wCU7ckNfsoWUahb30m1ZLTJ0TbPO8e1hnVoW6ELQAiIpliACAikikGACIimWIOgKiHk+rLLzn9kxVqQt0NWwBERDLFAEBEJFMMAEREMsUAQEQkU0wCE8lQWwaHleYdE23zCAzrjOqQlbAFQEQkUwwAREQyxQBARCRTDABERDLFJDCRDJkmc6USvnqJR25Sz8JPmIhIphgAiIhkigGAiEimmAMgIsn+fr3CRrTt0tmfjdZvC7i30+pEnY8tACIimWIAICKSKQYAIiKZYgAgIpIpJoGJCJ533yfaZprwBQA9FF1RHeoibAEQEckUAwARkUwxABARyRQDABGRTDEJTESSpBK+piOGi3/JFZXxujOo0+pEHYstACIimWIAICKSKQYAIiKZYg6AiCTdHhAs2vbb2exWjzMtI3Ue6h7YAiAikikGACIimWIAICKSKQYAIiKZYhKYiNrMRqc1+5jLZ7JE2wbeFdL+ylC7sQVARCRTDABERDLFAEBEJFMMAEREMsUkMBG1mdKCJLBeIZ5VtOT0T6JtUo+lpM7FFgARkUwxABARyRQDABGRTDEHQERt5n7PCKP18p8PicqYPjVMr7QRlWlQ8tLTHbAFQEQkUwwAREQyxQBARCRTDABERDLFTAwRWUyp04i26RQmlxWJgWCmiWKAj5K0BrYAiIhkqt0tgPLycqSlpSEjIwNFRUWorKxEv379MHDgQAwfPhzjxo1DaGhoi+c4dOgQtm7diuzsbJSXl8PV1RXBwcGYOnUqHnroofZWkYiIJLQrAHz77bd48803cf36daPtV69exdWrV5GdnY3CwkJ8+OGHksfr9XosW7YMqampRttLS0uxd+9e7N27FzExMVi+fDkUEs1IIiKynMUBYNu2bUhISIBOp4ObmxtiY2Nx3333wdnZGdeuXcPFixdx4MABqFTNv8SaNWuEi39gYCBmzZoFb29vFBUVITk5GXl5eUhNTYWLiwsWLVpkaVWJqJP0C40UbSvP+q/RulR/vxQF9Ebrxb/kisp43RlkRu2oNQq9Xq9vvZix/Px8PP3006ivr8fw4cPx73//G3369JEsW19fDzs7O9H2wsJCTJgwAVqtFkFBQUhJSYGDg4OwX61WY9q0acjNzYVKpcK3334LHx8fc6varJqaGqFr6uTJk3BycuqwcxPJmWkA0KnE33+tjXibzmR0sE4hHkHMANAyc69rFiWBk5KSUF9fDxcXF6xdu7bZiz8AyYs/AGzatAlabePUsomJiUYXfwBwdHREYmIiAECr1WLz5s2WVJWIiJphdgDIz8/HkSNHAADTpk2Dq6ur2S+q1+uRkZEBAPD390dISIhkuZCQEPj5+QEA9u3bBwsaK0RE1AyzA8Du3buF5ccee0xYrqysxIULF1BRUdHqOYqLi1FaWgoACAsLa7HsiBGNk0+VlJSguLjY3OoSEVEzzE4C//zzzwCAPn36YPDgwdixYweSk5Nx9uxZoYyXlxcmTZqEGTNmoFevXqJz5OfnC8v+/v4tvp7h/oKCAnh7e0uWKy8vN+t9qNVqs8oTUdtIzf5pSqHXibaZPm1MCfOfPkbmMTsAnD9/HgBw++23IykpCSkpKaIyxcXFWLt2Lfbs2YPk5GR4eHgY7b98+bKw7Onp2eLrGe43PM7U6NGj21R/IiJqZHYXUGVlJYDGX+MpKSno27cvli9fjiNHjiAnJwdffvmlMHjrl19+wcsvvwydzjjaV1dXC8utZakdHR2F5ZqaGnOrS0REzTA7ADR1ndTX18PGxgYbNmzAM888A1dXV9jZ2WHo0KFYt26dEAROnjyJ7777zugcdXV1wrKtrW2Lr2d4F1Ftba251SUiomaYHQDs7e2F5ccee0zyDh6lUonXX39dWP/mm2+aPYdGI55MylB9fb2wbHqrKBERWc7sHECvXr2ErpiW5um544474OHhgdLSUuTk5IjO0aS1bh3DZG1L3UVNt6a2lVqtRkREhFnHEFEbtGHaFhudOMErSgzztu9OZ3YA8PT0xNWrVwFAlNw1NXDgQJSWlqKsrEx0jiYlJSUtnsNw/8CBA5stZ+54BOYTiEjuzO4CuuOOO4Rl0+SuqYaGBgAQzQc0ZMgQYbmgoKDFcxjub+2WUSIiajuzA8Dw4cOF5YsXL7ZYtqioCADg7u5utN3Ly0vYduzYsRbP0bTfw8MDXl5e5laXiIiaYXYXUEREBGxtbaHRaLB3717ExsZKlsvMzBSmiTYMGgCgUCgQGRmJzz77DAUFBcjKypJMJmdlZQktgMjISE4JTXQLcBs6xmi9LOd/RWUUugbxNn2Dybq4h8F0ojkAcA0JN7eK9H/MbgG4uLggOjoaAPC///u/ojt8AKCqqgorVqwQ1mNiYkRl4uLihK6hpKQk0S2etbW1SEpKAtDYhRQXF2duVYmIqAUWzQa6YMEC3HbbbQCA119/HUlJSTh69Chyc3Px1Vdf4Q9/+ANOnz4NAIiNjUVwsPjZnn5+foiPjwcA5ObmIjY2Frt27UJOTg527dqF2NhY5OY2zgc+c+ZM+Pr6WlJVIiJqhkXPAwAa5/P54x//iMLCwmbLTJkyBcuXL292sJdOp8PSpUuRlpbW7Dmio6ORlJQEpbJjH1/M5wEQdY2O7AISPXAe7AIyZO51zeIngg0ePBjbtm3DZ599hj179qCwsBDV1dVwc3PDsGHDEBMTg1GjRrV4DqVSiRUrViAqKgqpqanIyclBRUUFXFxcMHToUMTExCA8nB8uEVFnsLgFcKtjC4Coa5Rl/yDaptSJZwBQNhhvk3yUpMSNIFKPpZSrLnkiGBER3foYAIiIZIoBgIhIphgAiIhkyuK7gIiI2sIt+AHRNqkRvaJHSUrcn6JsEM8ievPo10brfUY9YWYN5YstACIimWIAICKSKQYAIiKZYg6AiLqcqL8fgOnjRZSQeGpYg3gAmU09H+5kKbYAiIhkigGAiEimGACIiGSKAYCISKaYBCaiLieVBDad6VPfIH4egPTJZDmhcYdgC4CISKYYAIiIZIoBgIhIppgDIKIu1z9otGib6bOD9RK/T6VyB3qVndF6zcH/iMo4PfysuVWUBbYAiIhkigGAiEimGACIiGSKAYCISKaYBCai7sFkQJcC4oFgkrOImiSBFVKDzEgSAwARtdm2bdvw3//+F3l5eSgsLMRtt92G/fv3W7taZCEGACJqs+3bt+PatWsIDg6GXq+HViues59uHQwARD2IRqOBQqGAStU5X+2PPvoISmVj6vDFF1/EuXPnOuV1qGswCUzUzRQWFiIhIQHjxo3DvffeiwcffBBz587F2bNnjcr9+OOPCAgIwLZt27By5Uo8+OCDGDp0KAoLC7FkyRKEhoYiPz8fM2fOREhICB544AGsX78eAJCVlYXY2FiEhIQgKioK6enpbapb08Wfega2AIi6mStXrqBfv35YvHgxXF1dUVlZifT0dEydOhXp6enw9/c3Kr969WqEhIRg+fLlUCqVcHNzA9DYGpg/fz6eeeYZzJw5E19//TVWrVqFqqoq7NmzB7Nnz4anpyc+/fRTLFmyBHfccQeCgoKs8ZYBAG7BDxitV2QdEJXR2di2aRu1DQMAUTcTFhaGsLAwYb2hoQHh4eF4/PHHkZqaioSEBKPyPj4+eO+990Tn0Wg0WLhwIcaNGwcAGDFiBA4ePIh169YhPT0dgYGBAICgoCDcf//92Llzp1UDAHU9BgCibkar1SI5ORk7duzAxYsXodH8/iD0/Px8UfmmC7wphUKB8PBwYV2lUmHQoEGwsbERLv4A0K9fP7i6uuLSpUsd+C7oVsAAQNTNrFy5EikpKZg9ezbCwsLg7OwMhUKBpUuXoq6uTlR+wIABkudxdHSEvb290TZbW1v069dPVNbOzk7y3NSzMQAQdTM7duzA008/jVdeecVoe0VFBfr27SsqrzB5ktatqvznQ0breqVE377Ee9UrmJi2FP/niLoZhUIBW1vji9/BgwdRWlpqpRpRT8UWAFE38/DDDwt3+wQEBODUqVP46KOP4Onpae2q4fz58zh//jwA4OrVq1Cr1di9ezcAYMiQIRgyZIg1q0dmYgAg6mbeeOMNqFQqrF+/HjU1NQgMDMTatWvx7rvvWrtq+Pbbb/H+++8bbXv55ZcBAPPmzcP8+fOtUS2ykEKvN5mBSSZqamoQGhoKADh58iScnJysXCMieRPlAKT69i3MAUg9gawnMve6xhYAEXULpgO69Oi45PaVU5lG6+73jOiwc9/KmAQmIpIpBgAiIpliACAikikGACIimWISmIi6BdM7dUwTt9Tx2AIgIpIpBgAiIpliACAikikGACIimWIAICKSKQYAIiKZYgAgIpIpBgAiIpniQDAi6pakZuzk4LCOxRYAEZFMMQAQEckUAwARkUwxABARyRSTwER0y7A0McxHQEpjC4CISKYYAIiIZIoBgIhIppgDIKJbGvv3LccWABGRTDEAEBHJFAMAEZFMMQAQEckUAwARkUwxABARyRQDABGRTDEAEBHJFAMAEZFMMQAQEckUAwARkUy1ay6g+vp6bN++Hbt378bZs2dx/fp12Nrawt3dHcOGDUNMTAxCQkJaPc+hQ4ewdetWZGdno7y8HK6urggODsbUqVPx0EMPtaeKRETUDIVer9dbcuDly5cxZ84c/PLLLy2We+GFF7BkyRIoFArRPr1ej2XLliE1NbXZ42NiYrB8+XLJ49ujpqYGoaGhAICTJ0/CycmpQ89PRNTVzL2uWdQC0Gq1Rhf/gIAAzJgxA35+fqiursZPP/2Ejz/+GDU1Ndi0aRMGDBiAWbNmic6zZs0a4eIfGBiIWbNmwdvbG0VFRUhOTkZeXh5SU1Ph4uKCRYsWWVJVIiJqhkUtgD179mDBggUAgNDQUKSkpMDGxsaoTG5uLp555hloNBo4Ozvj8OHDUKl+jzeFhYWYMGECtFotgoKCkJKSAgcHB2G/Wq3GtGnTkJubC5VKhW+//RY+Pj6Wvk8RtgCIqKcx97pmURL4xIkTwvKcOXNEF38ACAoKwsMPPwwAqKysREFBgdH+TZs2QavVAgASExONLv4A4OjoiMTERACNLY7NmzdbUlUiImqGRQFAo9EIy97e3s2WM9xXX18vLOv1emRkZAAA/P39m00Uh4SEwM/PDwCwb98+WJiuICIiCRblAHx9fYXloqIi3HHHHZLlioqKAAAKhcLomOLiYpSWlgIAwsLCWnytESNG4Ndff0VJSQmKi4ubDTjl5eVmvIPGLiYiIjmzKAA8/vjjePfdd1FVVYUNGzYgPDxc1A2Ul5eHgwcPAgAmTpyI3r17C/vy8/OFZX9//xZfy3B/QUFBswFg9OjR5r4NIiJZs6gLyNXVFStXroSDgwNOnDiB6OhobNu2DVlZWTh8+DDef/99TJs2DRqNBnfffTeWLFlidPzly5eFZU9PzxZfy3C/4XFERNQ+Fg8EGzt2LNLS0vDxxx8jLS0Nf/7zn4329+/fHwsWLMDUqVNFmejq6mphubUstaOjo7BcU1NjaXWJiMiExVNBaDQafP311zhw4IBkcvbatWvYuXMnMjMzRfvq6uqEZVtb2xZfx87OTliura21tLpERGTCohZATU0N5syZg2PHjsHGxgazZs3C5MmT4e3tjfr6evz888/44IMP8NNPP2Hu3LlISEhAXFyccLy9vb2wbHhHkRTDu4dMbxU1dOTIEbPeg1qtRkREhFnHEBH1JBYFgLVr1+LYsWMAgLfffhuTJk0S9tnZ2WHMmDEYOXIk4uPj8eOPP2LlypUYOXIk7rrrLgBAr169hPKtdesY3q3TUneRq6urWe+B3UlEJHdmdwHp9Xp89dVXABpvBzW8+BtSqVR4+eWXAQA6nU44BjBO7JaUlLT4eob7Bw4caG51iYioGWa3AK5du4br168DaJy/pyVBQUHCsuFI4CFDhkhul2K4v7VbRs1hmLfgmAAi6gkMr2VtGThrdgAwvN+/oaGhxbKG/fuG8wB5eXnB3d0dV65cEbqSmtO038PDA15eXuZWt1mGCeX777+/w85LRNQd1NbWGnW3SzG7C6hfv37CoK6TJ08K8/lIMby4G168FQoFIiMjATT+ws/KypI8PisrS2gBREZGdviU0EREcmbRbKCLFy/Gzp07AQDz58/HvHnzRGUqKyvx7LPP4vz58wCAjz76CA888ICw/9dff8Xjjz/e7GygtbW1eO6554TZQL/55huj6STaS6fToaCgABMnTjTavn//fri4uHTY61DXqaioEN3Zxc/z1sXP03x6vV7o3XBxcYFS2fJvfIvuAnrppZeQkZEBtVqNtWvXIjc3F5MmTYK3tzfq6urw888/Y/Pmzbh06RKAxmkaDC/+AODn54f4+HisX78eubm5iI2NxezZs4XnAWzYsAF5eXkAgJkzZ3boxR8AlEql5J1Djo6OnBr6FiU1ToSf562Ln6dlWuv2MWRRABg8eDA+/PBDvPLKK6ioqMCBAwdw4MABybKjRo3Cu+++K7lv0aJFKCsrQ1paGvLy8iQf+hIdHY2FCxdaUk0iImqBxVNB3H///fj222/x5Zdf4tChQzh//jxu3rwJGxsb9O/fH0OHDsXjjz/eYt+9UqnEihUrEBUVhdTUVOTk5KCiogIuLi4YOnQoYmJiEB4ebvGbIyKi5rXrofAuLi6YPXs2Zs+e3a5KhIeH80JPRNTFLJ4LiIiIbm0MAEREMsUAQEQkUwwAREQyxQBARCRTDABERDLFAEBEJFMMAEREMmXRZHBERHTrYwuAiEimGACIiGSKAYCISKYYAIiIZIoBgIhIpto1HfSt7tKlS/jkk09w8OBBXL58GXZ2dvDx8cH48ePx7LPPwtHR0dpVlLVTp07h+++/x/Hjx3Hu3DmUlZXB1tYW7u7uCA0NRXR0NIYPH97iOb766iskJCS06fXeeecdTJ48uSOqThICAgLaVG7EiBH45JNPWixz6NAhbN26FdnZ2SgvL4erqyuCg4MxdepUPPTQQx1RXVmQbQA4ePAgXn31Vdy8eVPYplarkZOTg5ycHHzxxRfYsGEDvL29rVhL+Zo2bRqOHTsm2q7RaHDhwgVcuHAB6enpeOqpp/DWW2/Bzs7OCrWkrqbX67Fs2TKkpqYabS8tLcXevXuxd+9exMTEYPny5c0+iIp+J8sAcObMGSxcuBBqtRpOTk548cUXMXLkSNTW1mLXrl3YunUrfv31V8yZMwdffvmlWc/YpI5RWloKAHB3d8djjz2G4cOHY+DAgdDpdMjKysLGjRtRWlqK7du3o6GhAatWrWr1nB999BHc3d2b3e/p6dlh9afmxcbG4tlnn212f0st7zVr1ggX/8DAQMyaNUt4jnhycjLy8vKQmpoKFxcXyUfMkgm9DE2bNk1/55136gMDA/UnTpwQ7d+wYYP+zjvv1N955536tWvXWqGGNGfOHP0333yj12q1kvvLysr048aNEz6nY8eOSZZLS0sTyhQVFXVmlakVTZ/De++9Z9HxFy5c0AcGBurvvPNO/eTJk/Vqtdpof01NjX7y5MnCd7uwsLAjqt2jyS4JnJ2djczMTADAlClTEBoaKioTHx+PwYMHAwC2bNkCjUbTpXUkYN26dZgwYQJsbGwk97u6umLJkiXC+u7du7uqamQlmzZtglarBQAkJibCwcHBaL+joyMSExMBAFqtFps3b+7yOt5qZBcAMjIyhOUpU6ZIllEqlXj66acBAJWVlULAoO5lxIgRwnJRUZEVa0KdTa/XC99df39/hISESJYLCQmBn58fAGDfvn3Qc6abFskuABw/fhwA4OTkhHvuuafZcmFhYcLyTz/91On1IvMZtsyY8OvZiouLhbyQ4XdTStMPg5KSEhQXF3d63W5lsksC5+fnAwB8fHygUjX/9v39/UXHUPdieJeQ4efVnISEBOTn5+PGjRvo1asXBg0ahNGjR+PZZ5+Fh4dHZ1aVDOzevRs7d+7E5cuXYWNjgwEDBiA0NBSTJk3CqFGjJI8x/A629lkb7i8oKOCdfC2QVQugrq4OFRUVAFq/48PZ2RlOTk4AGn9JUPei0+mwfv16YX38+PGtHpOZmYmysjJoNBpcv34dP//8M/79739j7Nix+PzzzzuzumTg/PnzuHDhAurq6lBTU4PCwkJs27YNcXFx+NOf/mR0a3aTy5cvC8utfXcN9xseR2KyagFUV1cLy00X95Y4OjqipqYGNTU1nVktssCmTZuQnZ0NABg7diyGDh3abFlvb2+MHTsWoaGhwsWhuLgYe/bswZ49e1BXV4dly5ZBoVAgJiamS+ovR46OjoiIiMDo0aPh5+eHXr16oby8HJmZmfj8889x/fp17Nu3Dy+99BI2btwIW1tb4VhzvruGt5Hyu9syWQWAuro6Ydnwj6s5TYOLamtrO61OZL7MzEzhvn83Nze8+eabzZYdO3YsJk2aJMoRBAcHY8KECThw4ADmz58PjUaDd955BxERERgwYEBnVl+2Dh06hL59+4q2jxkzBs8//zxmz56NvLw8ZGZm4rPPPsP06dOFMuZ8dw0HBfK72zJZdQHZ29sLy225tbO+vh4ARLebkfWcO3cO8+bNg1arhZ2dHdasWYP+/fs3W75Pnz4tJogfeeQR/OlPfwLQOBL8yy+/7PA6UyOpi3+T/v3747333hMu7p9++qnRfnO+u03fW4Df3dbIKgAYjuhtS9NQrVYDaFt3EXW+oqIixMfHo7KyEjY2Nli9erXRraCWmjp1qhAkpKafoK7h7e2NMWPGAAAKCwuFu34A8767Td9bgN/d1sgqANjb28PFxQVA64ndyspK4Q+NUwRYX2lpKWbMmIErV65AoVBgxYoVGDt2bIec283NTfi7MLzoUNdrGoAJGH8Wht/B1r67hvsHDhzYgbXreWQVAIDf/8AuXrwojCqUUlBQIDqGrKO8vBzx8fHCYK/ExERhoF5H4YCh7qG5z2HIkCHCsuF3U4rh/rbcHixnsgsA9913H4DGZuSpU6eaLWfYFTBs2LBOrxdJu3nzJmbNmoXz588DABYvXoznnnuuQ1+jrKwM169fB4AWJ4ujzmd4v7/h2AwvLy/hs2mtm65pv4eHB7y8vDqhlj2H7ALAo48+KiynpaVJltHpdNi2bRuAxsTVyJEju6JqZEKtVmPOnDlCoJ47dy7mzJnT4a+Tmpoq/PJsbZQpdZ6ioiIcPnwYQGM+wDAAKBQKREZGAmj8hZ+VlSV5jqysLKEFEBkZyRHirZBdAAgODhYeIpKWloaTJ0+KymzcuFH4JTJ9+vQ23TJKHau+vh7z5s3DiRMnADR+DuZO71tcXIy8vLwWyxw4cAAffvghgMYcUXPzQ1H77N+/v8Uu12vXrmHBggXCHT5Srby4uDhh9H5SUpLoFs/a2lokJSUBAFQqFeLi4jqq+j2WQi/Dzs+8vDzExsaitrYWTk5OmDt3rtHzAJrmG/f19UVaWhp69+5t5RrLz/z58/Hdd98BAEaNGoX/9//+X4u/5mxtbYVJwJr8+OOPmD59OkJDQ/HII4/grrvugpubG/R6PYqKioSBYE1fgb/85S8d3r1EjSIiIqDRaBAVFYWQkBDcfvvtcHBwQEVFBX788UdhIBjQ2E27adMmyYf8rFq1ShgBHhgYiNmzZwvPA9iwYYMQ8F988UW88sorXfb+blWyDABA4y+S1157DVVVVZL7fX19sX79egwaNKiLa0ZA2x8f2OT222/H/v37jbY1BYDWODo6IiEhgaOAO1FERAR+++23VstFRUXhrbfeanbMgE6nw9KlS5vtvgWA6OhoJCUlQamUXQeH2WQbAADgt99+w5YtW3Dw4EGUlpbC1tYWPj4+eOyxxzBt2jQ+E9iKOiIAVFVVYf/+/cjKykJubi6uXr2KiooKaLVaODs7Y8iQIRg9ejT+8Ic/wM3NrSOrTyYyMzORmZmJrKwsFBUV4fr166iqqoKTkxM8PT2FyeCkns8h5b///S9SU1ORk5ODiooKuLi4YOjQoYiJiUF4eHgnv5ueQ9YBgIhIzthGIiKSKQYAIiKZYgAgIpIpBgAiIpliACAikikGACIimWIAICKSKQYAIiKZYgAgIpIpBgAiIpliACAikikGACIimWIAICKSKQYAIiKZYgAgIpKp/w9dkqudmsd1EwAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# load data\n", + "import pickle\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "# cell 10_2 - spike raster\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_3a_cell_10_2_raster.pkl', 'rb')\n", + "cell1_raster = pickle.load(fileObj)\n", + "fileObj.close()\n", + "# cell 10_2 - place field\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_3a_cell_10_2_place_field.pkl', 'rb')\n", + "cell1_placefield = pickle.load(fileObj)\n", + "fileObj.close()\n", + "# cell 10_2 - place field\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_3a_cell_10_2_reward_times.pkl', 'rb')\n", + "cell1_reward_times = pickle.load(fileObj)\n", + "fileObj.close()\n", + "\n", + "# cell 31_5 - spike raster\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_3a_cell_31_5_raster.pkl', 'rb')\n", + "cell2_raster = pickle.load(fileObj)\n", + "fileObj.close()\n", + "# cell 31_5 - place field\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_3a_cell_31_5_place_field.pkl', 'rb')\n", + "cell2_placefield = pickle.load(fileObj)\n", + "fileObj.close()\n", + "# cell 31_5 - place field\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_3a_cell_31_5_reward_times.pkl', 'rb')\n", + "cell2_reward_times = pickle.load(fileObj)\n", + "fileObj.close()\n", + "\n", + "# cell 31_7 - spike raster\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_3a_cell_31_7_raster.pkl', 'rb')\n", + "cell3_raster = pickle.load(fileObj)\n", + "fileObj.close()\n", + "# cell 31_7 - place field\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_3a_cell_31_7_place_field.pkl', 'rb')\n", + "cell3_placefield = pickle.load(fileObj)\n", + "fileObj.close()\n", + "# cell 31_7 - place field\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_3a_cell_31_7_reward_times.pkl', 'rb')\n", + "cell3_reward_times = pickle.load(fileObj)\n", + "fileObj.close()\n", + "\n", + "# cell 19_1 - spike raster\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_3a_cell_19_1_raster.pkl', 'rb')\n", + "cell4_raster = pickle.load(fileObj)\n", + "fileObj.close()\n", + "# cell 19_1 - place field\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_3a_cell_19_1_place_field.pkl', 'rb')\n", + "cell4_placefield = pickle.load(fileObj)\n", + "fileObj.close()\n", + "# cell 19_1 - place field\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_3a_cell_19_1_reward_times.pkl', 'rb')\n", + "cell4_reward_times = pickle.load(fileObj)\n", + "fileObj.close()\n", + "\n", + "matplotlib.rcParams.update({'font.size': 12})\n", + "\n", + "# plotting - spike raster\n", + "fig = plt.figure(figsize=(4,4),linewidth=2)\n", + "ax = fig.gca()\n", + "for i in np.arange(len(cell1_raster)):\n", + " ax.scatter(cell1_raster[i]-cell1_reward_times[i],\n", + " np.repeat(len(cell1_raster)-i,len(cell1_raster[i])),s=3,c='k')\n", + "ax.vlines(0,0,len(cell1_raster))\n", + "ax.set_xlim(-1,1)\n", + "ax.set_title('tonks. cell 10-2 (#1)')\n", + "\n", + "for axis in ['top', 'bottom', 'left', 'right']:\n", + " ax.spines[axis].set_linewidth(1.5) # change width \n", + "\n", + "# plotting - place field\n", + "fig = plt.figure(figsize=(4,12),linewidth=2)\n", + "ax = fig.gca() \n", + "ax.imshow(cell1_placefield,\n", + " cmap='coolwarm', vmin=-0.04,vmax=0.04)\n", + "ax.text(35,10,'arm 2')\n", + "ax.text(35,70,'arm 1')\n", + "ax.set_title('tonks. cell 10-2')\n", + "for axis in ['top', 'bottom', 'left', 'right']:\n", + " ax.spines[axis].set_linewidth(1.5) # change width \n", + " \n", + "# plotting - spike raster\n", + "fig = plt.figure(figsize=(4,4),linewidth=2)\n", + "ax = fig.gca()\n", + "for i in np.arange(len(cell2_raster)):\n", + " ax.scatter(cell2_raster[i]-cell2_reward_times[i],\n", + " np.repeat(len(cell2_raster)-i,len(cell2_raster[i])),s=3,c='k')\n", + "ax.vlines(0,0,len(cell2_raster))\n", + "ax.set_xlim(-1,1)\n", + "ax.set_title('tonks. cell 31-5 (#2)')\n", + "\n", + "for axis in ['top', 'bottom', 'left', 'right']:\n", + " ax.spines[axis].set_linewidth(1.5) # change width \n", + "\n", + "# plotting - place field\n", + "fig = plt.figure(figsize=(4,12),linewidth=2)\n", + "ax = fig.gca() \n", + "ax.imshow(cell2_placefield,\n", + " cmap='coolwarm', vmin=-0.04,vmax=0.04)\n", + "ax.text(35,10,'arm 2')\n", + "ax.text(35,70,'arm 1')\n", + "ax.set_title('tonks. cell 31-5')\n", + "for axis in ['top', 'bottom', 'left', 'right']:\n", + " ax.spines[axis].set_linewidth(1.5) # change width \n", + " \n", + "# plotting - spike raster\n", + "fig = plt.figure(figsize=(4,4),linewidth=2)\n", + "ax = fig.gca()\n", + "for i in np.arange(len(cell3_raster)):\n", + " ax.scatter(cell3_raster[i]-cell3_reward_times[i],\n", + " np.repeat(len(cell3_raster)-i,len(cell3_raster[i])),s=3,c='k')\n", + "ax.vlines(0,0,len(cell3_raster))\n", + "ax.set_xlim(-1,1)\n", + "ax.set_title('tonks. cell 31-7 (#3)')\n", + "\n", + "for axis in ['top', 'bottom', 'left', 'right']:\n", + " ax.spines[axis].set_linewidth(1.5) # change width \n", + "\n", + "# plotting - place field\n", + "fig = plt.figure(figsize=(4,12),linewidth=2)\n", + "ax = fig.gca() \n", + "ax.imshow(cell3_placefield,\n", + " cmap='coolwarm', vmin=-0.04,vmax=0.04)\n", + "ax.text(35,10,'arm 2')\n", + "ax.text(35,70,'arm 1')\n", + "ax.set_title('tonks. cell 31-7')\n", + "for axis in ['top', 'bottom', 'left', 'right']:\n", + " ax.spines[axis].set_linewidth(1.5) # change width \n", + " \n", + "# plotting - spike raster\n", + "fig = plt.figure(figsize=(4,4),linewidth=2)\n", + "ax = fig.gca()\n", + "for i in np.arange(len(cell4_raster)):\n", + " ax.scatter(cell4_raster[i]-cell4_reward_times[i],\n", + " np.repeat(len(cell4_raster)-i,len(cell4_raster[i])),s=3,c='k')\n", + "ax.vlines(0,0,len(cell4_raster))\n", + "ax.set_xlim(-1,1)\n", + "ax.set_title('tonks. cell 19-1 (#4)')\n", + "\n", + "for axis in ['top', 'bottom', 'left', 'right']:\n", + " ax.spines[axis].set_linewidth(1.5) # change width \n", + "\n", + "# plotting - place field\n", + "fig = plt.figure(figsize=(4,12),linewidth=2)\n", + "ax = fig.gca() \n", + "ax.imshow(cell4_placefield,\n", + " cmap='coolwarm', vmin=-0.04,vmax=0.04)\n", + "ax.text(35,10,'arm 2')\n", + "ax.text(35,70,'arm 1')\n", + "ax.set_title('tonks. cell 19-1')\n", + "for axis in ['top', 'bottom', 'left', 'right']:\n", + " ax.spines[axis].set_linewidth(1.5) # change width " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "74f2892a", + "metadata": {}, + "outputs": [], + "source": [ + "# Figure 6B and 6C - assembly examples" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "a34f953e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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16qVvv/3WJyFSU22fb1VVlfuzc32Wp3PHHXdIqq7xP/fcc5Kk2267rd7lcTgc2rhxo9d812Wi05Vnz549cjqdGj58uFfwHzhwQHv27PHapn///jIMQ++9995py9e/f38VFBScckhoc2rI70htXC1VtX32e/bs0Q8//NCo14dvEP7wEhsbK4vFcspf6i5duig/P19bt271mP/CCy9ozZo19d7fuHHjFB0drVdeeUVff/21x7K5c+fWOhb6rrvuUkhIiO655x7t2LHDa3lFRYXXHz1Xs2p9/li1bt1a4eHh+uKLLzyaRysrKzV16lTl5uZ6bfPuu+/W2mx+5MgRSXLfjvWzzz6rtSbtmlfztq333nuvKioqdNNNN9V6PAoKCs5Kq8CHH36orKwsj3l//etftXv3bmVkZNR5vb+mIUOG6Nxzz9WiRYv05ptv6txzzz2jey7U5g9/+IPHZZf8/HzNnTtXkk57GcE11PPjjz/2OCksKSnRLbfcUuvn+Pvf/16SNG3aNP34449ey2v2d7nnnnskVV/qqG1M/PHjx7Vp06Y6y9hQ48aNU3Jysv72t79p1apVta7z6aefqrS0tM7X+c1vfqOQkBA9/fTTHvfacDqduu++++R0Opuy2DhLaPaHl8jISF1yySXasGGDrr/+enXv3l3BwcEaO3asUlNTdffdd2vNmjUaOHCgfvWrXyk6OlpffPGFPv74Y02aNOm0N4n5paioKD3zzDO6/vrrNWDAAI9x/l9//bWuuOIKrV+/XkFBJ89Ve/TooYULF+qmm25Sr169dOWVV+qcc85RZWWl9u/fr48++kiJiYkeneCGDBmiJUuWKDMzU1dddZXCwsKUlJSkG2644ZRlCwoK0n//939r3rx5Ov/88zVu3DhVVFQoOztb+fn57nHrNV177bWy2+0aOHCgunTpIsMw9NFHH+nzzz/XhRde6B4D/uqrr+pvf/ubrrjiCqWkpCg2Nla7d+/WihUrZLPZNHXqVPdr3nTTTfryyy/1zDPPKDk5WSNGjFDnzp2Vn5+vvXv3asOGDZoyZYr+/ve/1+vY19fYsWM1YcIETZgwQSkpKfr666+1atUqxcXF6ZlnnqnXa91+++3ucGxIrV+S2rVrp4qKCvXu3Vtjx45VZWWlli5dqh9//FF33HGHLr/88jq3b9u2ra699lq9/vrr6tOnj4YPH66ioiK9//77stvt6tOnj1fL0/Dhw/XQQw/pkUce0bnnnuse5//TTz/pk08+Uf/+/d032xkyZIjmzZunP/zhD+revbtGjhyprl27qqSkRN9//73Wr1+vgQMH6t13323Q+69LSEiIli1bphEjRmjUqFEaMGCA+vTpo/DwcP3www/6/PPPtWfPHv34448KDw8/5et06dJF8+bN07Rp09S3b19dc801io6O1po1a1RYWKjU1FSvigACgG8HG8Bf7dy50xg9erQRFxdnWCwWr2FEK1asMC655BIjMjLSiI6ONoYNG2asX7++1iFHhlE9LCspKanOfa5atcq49NJLjbCwMCMmJsYYO3assW3bNmPUqFGGJK9x0oZhGFu3bjVuvPFGo3Pnzu6xyL169TJuvfVW44MPPvBY1+FwGH/4wx+Mrl27uoe6XXHFFac9FpWVlcaf/vQno2fPnobdbjfatGljXH/99ca+fftqHc727LPPGuPHjze6du1qhIWFGbGxsUafPn2Mxx9/3GPY3aZNm4zbb7/dSE1NNWJjY91D3SZPnmzk5OTUWpYVK1YYo0aNMhITE42QkBCjTZs2Rr9+/YwHH3zQ2LZtm8e6db2/uj6P2oZE1vxcs7KyjP79+xvh4eFGdHS0kZmZaXz33Xder1PbsakpPz/fCAoKMux2u5GXl1frOnVxvYfCwkLjjjvuMNq3b2+EhoYaPXr0MJ588kmvIYOnGip3/Phx44EHHjCSk5MNm81mdOzY0bjjjjuM3NzcOoeHrly50hgxYoQRGxtrhIaGGh07djTGjx/v9b0zDMP46KOPjKuvvtpo166dERISYiQkJBgXXHCBcc899xiff/75Gb3f+g71czl8+LAxffp0o1evXkZYWJgRERFhpKSkGBMnTjT+9a9/GZWVle51axvq5/Lqq68affv2NWw2m5GQkGD85je/MQ4ePNgsQ2jR/CyGwSPO4L+qqqrUrVs3VVRU1NrEisD14YcfasiQIbrhhhv00ksv1Xt7V5O9vzwyGAgkXPOHXygsLPS69mgYhubOnav9+/dr4sSJPioZmsv//d//SZJ7SCOAs4dr/vALmzZt0jXXXKPhw4erS5cuKikp0aZNm7RlyxYlJSV53I8fgWvr1q16++239eWXX2rNmjUaN26cLr74Yl8XCzAdwh9+4dxzz9XYsWO1ceNGrV69WpWVlerUqZOmTp2qBx54oN7jv+GfNm/erJkzZyoqKkrXXHNNvTsJAmgaXPMHAMBkuOYPAIDJEP4AAJiMX13zj4iIUHl5uYKDg9W6dWtfFwcAgIBx5MgRVVVVyW636/jx43Wu61fX/IODg7lVJAAAjRAUFHTaZ5j4Vc3fFf5BQUFeD1EBAACn9uOPP8rpdNb6mOtf8qvwb926tQ4ePKh27drpwIEDvi4OAAABo2PHjjp48OAZXTanwx8AACZD+AMAYDKEPwAAJkP4AwBgMoQ/AAAmQ/gDAGAyhD8AACZD+AMAYDKEPwAAJkP4AwBgMoQ/AAAmQ/gDAGAyhD8AACZD+AMAYDKEPwAAJkP4AwBgMoQ/AAAmQ/gDAGAyhD8AACZD+AMAYDL1Cv/JkyfLYrGc8mfTpk3udTdv3qyhQ4cqMjJSMTExyszM1J49e5r8DQAAgPqx1mflhx56SLfffrvX/DFjxshms6lfv36SpO3btys9PV19+vTR4sWLVV5erpkzZ2rQoEHasmWLEhMTm6b0AACg3uoV/snJyUpOTvaYt379euXm5uqPf/yjgoODJUkzZ86UzWZTVlaWoqKiJElpaWnq3r275s+fr8cff7yJig8AAOqr0df8X3jhBVksFt10002SJIfDoaysLE2cONEd/JKUlJSkjIwMLV++vLG7BAAAjdCo8C8qKtLSpUs1ZMgQde3aVZK0e/dulZWVKTU11Wv91NRU7dq1S+Xl5Y3ZLQAAaIRGhf9rr72msrIy/dd//Zd7Xl5eniQpLi7Oa/24uDgZhqGCgoLG7BYAADRCo8L/hRdeUHx8vCZMmOC1zGKxnHK7upYBAIDm1eDw37p1q7744gtdf/31stls7vnx8fGSTrYA1JSfny+LxaKYmJiG7hYAgIBlGIYMw/B1MRoe/i+88IIk6eabb/aYn5ycrLCwMOXk5Hhtk5OTo5SUFNnt9obuFgCAgORwODVkyGK1a/esnnjiM1VWVvmsLA0K/xMnTujll1/WxRdfrN69e3sss1qtGjNmjJYtW6bi4mL3/P379ys7O1uZmZmNKzEAAAFo48aDys7+QYcPl+r++zfowgv/pY8/PuCTsjQo/N966y3l5+d71fpd5syZo9LSUo0ePVqrV6/W8uXLNWrUKCUkJGjatGmNKjAAAIFo585Cj/9/802uXnttu0/K0qDwf+GFFxQREaFrr7221uU9evTQunXrFBISokmTJmny5MlKSUnRhg0buLsfAMCUdu3yHOnWpk24Hn10oE/KUq87/Lm89957p10nLS1Na9eubcjLAwDQ4uzaVeie/u676hvjxcT4pg9cg8IfAADUjyv8rdYgdesWI6vVdw/W5ZG+AAA0M8Mw3M3+XbpE+TT4JcIfAIBmd+RIqUpKKiVJKSkxvi2MCH8AAJpdzev9KSmxvivIzwh/AACaWc2e/tT8AQAwAc+af4zPyuFC+AMA0Mxo9gcAwGRczf5BQRZ16RLl49IQ/gAANCvDMNy39u3cuZVsNt/fYofwBwCgGZWXO1RUdEKS1KmT72v9EuEPAECzKi6ucE9HR4f6sCQnEf4AADSj4uJK93SrVoQ/AAAt3rFjJ9zThD8AACZQs9mf8AcAwARqhn9UFOEPAECLxzV/AABMhmZ/AABMhvAHAMBkCH8AAEym5lA/OvwBAGACdPgDAMBkaPYHAMBkCH8AAEyG8AcAwGRc4W+1BslmC/ZxaaoR/gAANKNjx6rDPyoqVBaLxcelqUb4AwDQjFw1f39p8pcIfwAAmhXhDwCAiTgcTpWVOSQR/gAAmEJJif/19JcIfwAAmk3NYX7+cmtfifAHAKDZuHr6S9T8AQAwBX+8wY9E+AMA0GwIfwAATMYz/EN8WBJPhD8AAM3Es8OfzYcl8UT4AwDQTGj2BwDAZOjtDwCAyVDzBwDAZOjwBwCAyVDzBwDAZIqLK93T9PYHAMAEqPkDAGAyNcM/IoJr/gAAtHiuR/pGRIQoKMji49Kc1KDw//jjjzVy5EjFxsYqLCxM3bt31yOPPOKxzubNmzV06FBFRkYqJiZGmZmZ2rNnT5MUGgCAQFBa6pAkhYdbfVwST/UO/1dffVVXXHGFoqOj9dJLL2nVqlWaPn26DMNwr7N9+3alp6eroqJCixcv1sKFC7Vjxw4NGjRIR48ebdI3AACAvyotre7wFx7uP03+klSvU5GDBw/q1ltv1W233aZnnnnGPT8jI8NjvZkzZ8pmsykrK0tRUVGSpLS0NHXv3l3z58/X448/3gRFBwDAv7WImv8//vEPHT9+XNOnTz/lOg6HQ1lZWZo4caI7+CUpKSlJGRkZWr58ecNLCwBAgDAMw29r/vUK/w0bNiguLk7bt29Xnz59ZLVa1bp1a91+++06duyYJGn37t0qKytTamqq1/apqanatWuXysvLm6b0AAD4qcpKp6qqqi+JB3T4Hzx4UKWlpbr66qt1zTXXaO3atbrvvvv00ksvaeTIkTIMQ3l5eZKkuLg4r+3j4uJkGIYKCgqapvQAAPgpV61f8r9m/3qVxul0qry8XLNmzdKMGTMkSenp6QoNDdXdd9+tDz74QOHh4ZIki+XUQxrqWgYAQEtQVuZwTwd0zT8+Pl6SNGLECI/5V111laTq4X2udVwtADXl5+fLYrEoJiamIWUFACBguDr7Sf5X869X+Nd2HV+Se5hfUFCQkpOTFRYWppycHK/1cnJylJKSIrvd3oCiAgAQODyb/QO45j9x4kRJ0urVqz3mr1q1SpLUv39/Wa1WjRkzRsuWLVNxcbF7nf379ys7O1uZmZmNLTMAAH7Pn2v+9SrN8OHDNWbMGD388MNyOp3q37+/vvjiC82ZM0ejR4/WwIEDJUlz5sxRv379NHr0aM2YMUPl5eWaOXOmEhISNG3atGZ5IwAA+JMWU/OXpDfeeEN33323FixYoKuuukrPPvus7rnnHi1dutS9To8ePbRu3TqFhIRo0qRJmjx5slJSUrRhwwYlJiY26RsAAMAftZje/pIUFhamefPmad68eXWul5aWprVr1za4YAAABDLPZv8Ar/kDAIDTq1nzDwvzr5o/4Q8AQDPw5w5/hD8AAM2gRXX4AwAAp0fNHwAAk6HmDwCAydDbHwAAk/Hncf6EPwAAzYCaPwAAJkPNHwAAk6HmDwCAyVDzBwDAZMrKqmv+VmuQQkKCfVwaT4Q/AADNwFXz97dav0T4AwDQLFzX/P3ter9E+AMA0CxcNX9/e6KfRPgDANAsTtb8CX8AAFo8wzBqXPOn2R8AgBbvxIkqGUb1NDV/AABMwJ+f6CcR/gAANDnPu/tR8wcAoMWj5g8AgMn48339JcIfAIAm58/39ZcIfwAAmhw1fwAATIaaPwAAJkPNHwAAk6HmDwCAydQMfx7sAwCACdDsDwCAyZSVcYc/AABMhTv8AQBgMtzbHwAAkzl+nJo/AACmUjP8IyIIfwAAWjzCHwAAkykpqXBPR0YS/gAAtHiumr/FItntdPgDAKDFc4V/RESILBaLj0vjjfAHAKCJlZRUh39kZKiPS1I7wh8AgCZWs+bvjwh/AACamCv8/bGzn0T4AwDQpBwOp06cqJJEzR8AAFPw9zH+EuEPAECTqhn+dPgDAMAEat7gp0XU/NetWyeLxVLrz6ZNmzzW3bx5s4YOHarIyEjFxMQoMzNTe/bsadLCAwDgbwKh2b9Btx167LHHlJGR4TGvd+/e7unt27crPT1dffr00eLFi1VeXq6ZM2dq0KBB2rJlixITExtXagAA/JRns38LCv/u3burf//+p1w+c+ZM2Ww2ZWVlKSoqSpKUlpam7t27a/78+Xr88ccbVloAAPyc6wY/kv/W/Jv8mr/D4VBWVpYmTpzoDn5JSkpKUkZGhpYvX97UuwQAwG8EQrN/g8L/zjvvlNVqVVRUlEaMGKGPP/7YvWz37t0qKytTamqq13apqanatWuXysvLG15iAAD8WCA0+9cr/KOjozV16lQ999xzys7O1pNPPqkffvhB6enpWrNmjSQpLy9PkhQXF+e1fVxcnAzDUEFBQRMUHQAA/xMIvf3rdc2/b9++6tu3r/v/gwYN0oQJE3T++efr/vvv14gRI9zL6nqKkT8+4QgAgKbQYpv9a4qJidHo0aO1detWlZWVKT4+XtLJFoCa8vPzZbFYFBMT09jdAgDgl0xzkx/DMCRV1+iTk5MVFhamnJwcr/VycnKUkpIiu93eFLsFAMDvmKK3f0FBgbKystSnTx/Z7XZZrVaNGTNGy5YtU3FxsXu9/fv3Kzs7W5mZmY3dJQAAfisQmv3rdc3/17/+tTp37qyLLrpICQkJ2rlzp/70pz/p8OHDWrRokXu9OXPmqF+/fho9erRmzJjhvslPQkKCpk2b1tTvAQAAv9HievunpqZqzZo1uvnmmzV06FA9+OCDOu+887Rx40YNHTrUvV6PHj20bt06hYSEaNKkSZo8ebJSUlK0YcMG7u4HAGjRAqHZv141/xkzZmjGjBlntG5aWprWrl3boEIBABCoAqHZn6f6AQDQhAh/AABMxnWTn9DQYIWEBPu4NLUj/AEAaEKumr+/1volwh8AgCblCn9/7ekvEf4AADQpV29/av4AAJiAYRg0+wMAYCYnTlTJ6ay+5T3N/gAAmEAgPM5XIvwBAGgygTDGXyL8AQBoMoHwOF+J8AcAoMkEwn39JcIfAIAmQ7M/AAAmEwiP85UIfwAAmgw1fwAATIZr/gAAmExx8clx/q1a0dsfAIAWr7Cw3D0dG2v3YUnqRvgDANBECgtPuKejo20+LEndCH8AAJpIzfCPiSH8AQBo8Qh/AABMpuY1f8IfAAATcNX8Q0ODZbdbfVyaUyP8AQBoIq7wj4mxyWKx+Lg0p0b4AwDQRGqGvz8j/AEAaAJOp6Fjxwh/AABMo7i4QoZRPR0T4783+JEIfwAAmkSg9PSXCH8AAJpEoIzxlwh/AACaBOEPAIDJeIY/1/wBAGjxuOYPAIDJ0OwPAIDJEP4AAJgM1/wBADAZrvkDAGAyNPsDAGAyhD8AACbjCv/Q0GDZ7VYfl6ZuhD8AAE3Adc0/OjpUFovFx6WpG+EPAEATcNX8/b2nv0T4AwDQaE6noaIiV/j79/V+ifAHAKDRiosrZBjV04Q/AAAmEEhj/CXCHwCARguku/tJTRD+//jHP2SxWBQZGem1bPPmzRo6dKgiIyMVExOjzMxM7dmzp7G7BADAr+Tlnaz5x8W18PA/ePCg/ud//kft27f3WrZ9+3alp6eroqJCixcv1sKFC7Vjxw4NGjRIR48ebcxuAQDwK0ePlrqnExPDfFiSM9Oo8L/99tt1+eWXa9iwYV7LZs6cKZvNpqysLI0cOVKZmZlauXKljh49qvnz5zdmtwAA+BXP8A/3YUnOTIPD/+WXX9b69ev1zDPPeC1zOBzKysrSxIkTFRUV5Z6flJSkjIwMLV++vKG7BQDA7xw5cjL8W7duoeF/5MgR3X333Zo3b546duzotXz37t0qKytTamqq17LU1FTt2rVL5eXlXssAAAhER4+WuadbbLP/HXfcoXPPPVe/+93val2el5cnSYqLi/NaFhcXJ8MwVFBQ0JBdAwDgdwKt2b/eTx548803tWLFCn311VenvXdxXcv9/b7HAACcqUCr+dcr/EtKSnTnnXfq97//vdq3b6/CwkJJUkVFhSSpsLBQISEhio+Pl3SyBaCm/Px8WSwWxcTENK7kAAD4CVfNPyIiRGFhIT4uzenVq9k/NzdXhw8f1p/+9CfFxsa6f1577TUdP35csbGx+s1vfqPk5GSFhYUpJyfH6zVycnKUkpIiu93/x0ECAHAmjhyprvkHQq1fqmfNv23btsrOzvaaP2/ePK1fv16rV69WQkKCrFarxowZo2XLlun//u//1KpVK0nS/v37lZ2drXvuuadpSg8AgI9VVTmVn18d/oHQ01+qZ/jb7Xalp6d7zV+0aJGCg4M9ls2ZM0f9+vXT6NGjNWPGDJWXl2vmzJlKSEjQtGnTGltuAAD8Ql5emfuhPoHQ2U9qxnv79+jRQ+vWrVNISIgmTZqkyZMnKyUlRRs2bFBiYmJz7RYAgLMq0Dr7SQ3o7V+bRYsWadGiRV7z09LStHbt2qbYBQAAfinQhvlJPNUPAIBGqXl3v0Cp+RP+AAA0Qs1m/0Dp8Ef4AwDQCDT7AwBgMoHY4Y/wBwCgEaj5AwBgMnT4AwDAZFzN/mFhVkVEhPq4NGeG8AcAoA4Oh7PO5a5m/0Dp6S8R/gAAnNKtt76nVq2e0vPPb611eVWVU3l55ZICp8lfIvwBAKjV3r2Fev75rSovd+iJJz6vdZ0jR0rldFbf2L9du8izWbxGIfwBAKjFO+/sdk/v3Fmg3NxSr3UOHixxT7dvT/gDABDQ3n57l8f/N2360WudmuHfoQPhDwBAwMrPL9OGDQc85n366SGv9Q4dIvwBAGgRVq7co6oqw2NebeFPzR8AgBai5vV+q7U6Kj/77CevYX8HDxa7p7nmDwBAAPv221xJ1TfuGTs2WZJ0/Hilvvkm12M9av4AALQQR45U37WvbdsIDRzYwT3/l03/rmv+drtVsbH2s1fARiL8AQCoweFwKi+vOvxbtw5X//7t3cs2bz7ssa6r5t+hQ6QsFsvZK2QjEf4AANTgCn6pOvx79oxz/3/nzgL3dGlppQoLT0gKrOv9EuEPAICHXz6lLybG7r51786dhe5lgXq9XyL8AQDwUDP8XQ/rOeec6tr/oUMlKimpcE+7EP4AAAQw1yN6pZPh3717jHverl2FkgL31r4S4Q8AgIe6av6StGNHviTPMf7U/AEACGCe1/y9a/6u6/6HDh13zyP8AQAIYLXV/Lt3j3XPc/X4p+YPAEALcfSod/inpMS45+3YUR3+Bw6cvObfrh3hDwBAwKpZ809IqB7iFxER6q7d79xZoKoqp3JyjkqSOnVqJbvdevYL2giEPwAANbjCPybGptDQYPf8c86pbvrPzS3TJ58cVElJpSTpkkvanf1CNhLhDwBADa6hfq4mf5ea1/1ffnmbe7p/f8IfAICAdeKEQ0VF1bfs/WX4u2r+kvTGG9vd0zXv/R8oCH8AAH5W8wY/rmF+LhkZnd3Tx45V3+XPag3ShRe2PjuFa0KEPwAAP6ttmJ/LhRe20YUXtvGYd8EFiQoLCzkrZWtKhD8AAD/zHOYX5rX81ltTPf4fiNf7JcIfAAC32u7uV9N11/VQRMTJmn4g9vSXCH8AANzqavaXpKgom2644TxJUnCwRZdf3vGsla0pBdZdCQAAaEa1PdHvlx5//HLFxdmVltZGSUnRZ6toTYrwBwDgZ7m5J8PfdXe/X4qKsunRRwedrSI1C5r9AQD4mWuMvyRFR9t8WJLmRfgDAPAz1/h9ifAHAMAUjh07WfOPjAy88ftnivAHAOBnrmb/Vq1CFRzcciOy5b4zAADqydXsHxUV6uOSNC/CHwCAn7lq/oQ/AAAmUFXlVElJpaSW3dlPIvwBAJAkd/BL1WP5W7J6hf+WLVs0atQode7cWWFhYYqLi9Oll16ql19+2WvdzZs3a+jQoYqMjFRMTIwyMzO1Z8+eJis4AABNyXOMP83+boWFherUqZMee+wxrVq1Si+99JK6dOmiG264QXPnznWvt337dqWnp6uiokKLFy/WwoULtWPHDg0aNEhHjx5t8jcBAEBj1Rzm19Jr/vW6vW96errS09M95o0ePVp79+7VggUL9Mc//lGSNHPmTNlsNmVlZSkqKkqSlJaWpu7du2v+/Pl6/PHHm6b0AAA0kaKikzf4ocPfGUhISJDVWn0e4XA4lJWVpYkTJ7qDX5KSkpKUkZGh5cuXN8UuAQBoUjVr/nT4q4XT6ZTD4dDRo0f1zDPPaM2aNZo+fbokaffu3SorK1NqaqrXdqmpqdq1a5fKy8sbV2oAAJpYzVv7tvSaf4Oe6nfHHXfoueeekySFhobqqaee0m233SZJysvLkyTFxcV5bRcXFyfDMFRQUKB27do1tMwAADS5mh3+uOZfiwceeEA333yzjhw5ohUrVuiuu+7S8ePH9T//8z/udSwWyym3r2sZAAC+4PlQH2r+Xjp37qzOnTtLkkaOHClJ+sMf/qAbb7xR8fHxkk62ANSUn58vi8WimJiYBhYXAIDmYaaaf5N0+Lv44ovlcDi0Z88eJScnKywsTDk5OV7r5eTkKCUlRXa7vSl2CwBAkzHL43ylJgr/7OxsBQUFqVu3brJarRozZoyWLVum4uJi9zr79+9Xdna2MjMzm2KXAAA0Kc9x/jT7u916662KiorSxRdfrDZt2ig3N1dLlizRG2+8ofvuu0+JiYmSpDlz5qhfv34aPXq0ZsyYofLycs2cOVMJCQmaNm1as7wRAAAaw0zj/OsV/pdeeqn++c9/6sUXX1RhYaEiIyN1wQUX6F//+peuv/5693o9evTQunXrNH36dE2aNElWq1WDBw/W/Pnz3ScIAAD4EzON869X+E+ZMkVTpkw5o3XT0tK0du3aBhUKAICzzdXhLyjIooiIEB+XpnnxVD8AAHSyw19UVGiLH5JO+AMAIM/wb+kIfwAAdLLZv6WP8ZcIfwAAVFlZpbIyh6SW39lPIvwBADDVQ30kwh8AAFMN85MIfwAAqPkDAGA2ng/1IfwBAGjxzPRQH4nwBwDAVI/zlQh/AAC45g8AgNkUF58M/1atCH8AAFo8wh8AAJMpKal0TxP+AACYQM2af2Rky36cr0T4AwBAsz8AAGZD+AMAYDKEPwAAJuMK/9DQYIWGBvu4NM2P8AcAmJ4r/M1Q65cIfwAA3EP9zNDTXyL8AQCg5g8AgJk4HE6VlTkkEf4AAJhCSYm5evpLhD8AwOQ8h/lxzR8AgBbPbGP8JcIfAGByxcUnH+oTGUn4AwDQ4lHzBwDAZOjwBwCAydDhDwAAk6HZHwAAkyH8AQAwmZq9/Ql/AABMoGbNn6F+AACYAB3+AAAwGYb6AQBgMnT4AwDAZOjwBwCAybhq/jZbsEJCgn1cmrOD8AcAmJor/M3S018i/AEAJucKf7P09JcIfwCAyZ0Mf2r+AAC0eJWVVTpxokoS4Q8AgCmUlJivp79E+AMATMyMY/yleob/hx9+qJtuukk9evRQRESEOnTooHHjxunLL7/0Wnfz5s0aOnSoIiMjFRMTo8zMTO3Zs6fJCg4AQGN53tefDn+1evbZZ7Vv3z5NnTpVq1at0pNPPqkjR46of//++vDDD93rbd++Xenp6aqoqNDixYu1cOFC7dixQ4MGDdLRo0eb/E0AANAQZq35W+uz8t/+9je1bt3aY96VV16plJQUPfbYYxo8eLAkaebMmbLZbMrKylJUVJQkKS0tTd27d9f8+fP1+OOPN1HxAQBouGPHToZ/dLTNhyU5u+pV8/9l8EtSZGSkzjvvPP3www+SJIfDoaysLE2cONEd/JKUlJSkjIwMLV++vJFFBgCgaRQVnXBPR0WZp+bf6A5/RUVF2rx5s3r16iVJ2r17t8rKypSamuq1bmpqqnbt2qXy8vLG7hYAgEaj5t9Ad955p44fP64HH3xQkpSXlydJiouL81o3Li5OhmGooKCgsbsFAKDRjh2rWfM3T/jX65r/Lz300EN65ZVX9PTTTystLc1jmcViOeV2dS0DAOBsodm/nubMmaO5c+fq0Ucf1V133eWeHx8fL+lkC0BN+fn5slgsiomJaehuAQBoMjT718OcOXM0e/ZszZ49Ww888IDHsuTkZIWFhSknJ8dru5ycHKWkpMhutzestAAANKGa4U/Nvw6PPPKIZs+erT/+8Y+aNWuW13Kr1aoxY8Zo2bJlKi4uds/fv3+/srOzlZmZ2bgSAwDQRDyv+Zsn/Ot1zf9Pf/qTZs6cqSuvvFKjRo3Spk2bPJb3799fUnXLQL9+/TR69GjNmDFD5eXlmjlzphISEjRt2rSmKz0AAI1QVGTOZv96hf+KFSskSe+++67effddr+WGYUiSevTooXXr1mn69OmaNGmSrFarBg8erPnz5ysxMbEJig0AQOPVrPlzh79TWLdu3Rmvm5aWprVr19a3PAAAnDWua/4RESEKDjbPs+7M804BAPgF11A/M13vlwh/AICJuWr+ZrreLxH+AACTcjoN91P9qPkDAGACJSU1x/hT8wcAoMWreWvf6Ghq/gAAtHied/ej5g8AQItn1lv7SoQ/AMCkzPpEP4nwBwCYVM27+zHUDwAAE+CaPwAAJsM1fwAATMZzqB81fwAAWjxq/gAAmEzNDn+EPwAAJuA51I9mfwAAWryazf5c8wcAwARqhn9kZIgPS3L2Ef4AAFNyXfOPjAxRcLC54tBc7xYAgJ8VFVXX/M3W5C8R/gAAk3LV/M3W018i/AEAJuRwOFVSUinJfD39JcIfAGBCeXll7umEhDAflsQ3CH8AgOnk5p4M/8REwh8AgBavZvhT8wcAwASOHi11TxP+AACYgGezf7gPS+IbhD8AwHRo9gcAwGQIfwAATOboUZr9AQAwFWr+AACYjCv8g4Mt3NsfAAAzcA31S0gIU1CQxcelOfsIfwCA6bhq/mZs8pcIfwCAyZSWVqqszCGJ8AcAwBTMfnc/ifAHAJiM2e/uJxH+AACTMfswP4nwBwCYDOFP+AMATMbsd/eTCH8AgMlQ8yf8AQAmQ/gT/gAAk6k51C8xkfAHAKDFq1nzj48n/AEAaPH27i2SJMXE2BQeHuLj0vgG4Q8AMI1jx07ohx+KJUnnnRfv49L4Tr3Dv7i4WPfff7+GDx+uxMREWSwWzZ49u9Z1N2/erKFDhyoyMlIxMTHKzMzUnj17GltmAAAaZPv2fPc04V8PeXl5WrBggU6cOKHx48efcr3t27crPT1dFRUVWrx4sRYuXKgdO3Zo0KBBOnr0aGPKDABAnQ4fPq4lS75TaWmlx/z//CfPPW3m8LfWd4OkpCQVFBTIYrEoNzdX//jHP2pdb+bMmbLZbMrKylJUVJQkKS0tTd27d9f8+fP1+OOPN67kAADUYsuWIxo2bIlyc8s0enQ3vfPOBFksFkmEv0u9a/4Wi8V9EE/F4XAoKytLEydOdAe/VH3ikJGRoeXLl9e/pAAAnMZXXx1WRsYb7h79WVl7tGrVycvNhH+1Zunwt3v3bpWVlSk1NdVrWWpqqnbt2qXy8vLm2DUAwMSmTs1WYeEJj3n33rtOlZVVkqRvv82VJLVqFaqOHVud9fL5i2YJ/7y86jOruLg4r2VxcXEyDEMFBQXNsWsAgEkVFZ3QJ58clCR17RqtSy9tL0nasaNAzz33tY4fr9C+fcckVdf6T9eK3ZI161C/ug6smQ86AKDpbdhwQE6nIUkaNaqbnnpqsHvZ/Plf6JtvaPJ3aZbwj4+vPqiuFoCa8vPzZbFYFBMT0xy7BgCY1AcffO+eHjKksy66qK2uuqqrJOn774/p4Yc3upcT/s0gOTlZYWFhysnJ8VqWk5OjlJQU2e325tg1AMCkPvhgvyQpKMii9PROkqT77uvnXr5q1V73NOHfDKxWq8aMGaNly5apuLjYPX///v3Kzs5WZmZmc+wWAGBShw8f1zffVHfmS0tro5iY6gpmenonpaW18VjXbreqX7+2Z72M/qRB4b969WotXbpUK1askCT95z//0dKlS7V06VKVllY/LWnOnDkqLS3V6NGjtXr1ai1fvlyjRo1SQkKCpk2b1nTvAABgeh9+uN89PXRoknvaYrHogQcucf//wgvbaMOGa5SYGH5Wy+dv6n2TH0n63e9+p++/P3ltZcmSJVqyZIkkae/everSpYt69OihdevWafr06Zo0aZKsVqsGDx6s+fPnKzExsWlKDwCApPXrD7inBw/u7LEsM/McvfXWeDkcTo0fn6LgYB5r06Dw37dv3xmtl5aWprVr1zZkFwAAnLEvv/xJkmSxSP37t/NaPm5cytkukl/j9AcAENAqKqq0dWv19f5zz41TZGSoj0vk/wh/AEBA+89/8lRRUX0HvwsvbHOatSER/gCAAPfll4fd07/s2Y/aEf4AgIC2efPJ8L/wwtY+LEngIPwBAAGtZs2/b19q/meC8AcABCyHw6mvvz4qSerePVbR0TYflygwEP4AgIC1bVueyssdkmjyrw/CHwAQsOjs1zCEPwAgYHl29iP8zxThDwAIWDVr/oT/mSP8AQABqarKqS1bjkiSunaNVmwsj4o/U4Q/ACAgffddvkpLqzv7cb2/fgh/AEBAorNfwxH+AICAtHnzEfc01/vrh/AHAAQkz85+jPGvD8IfABBwnE5DX31VHf6dO7dSQkK4j0sUWAh/AEDA2bEjXyUllZKktLS2Pi5N4CH8AQAB55NPDrmnL76Y8K8vwh8AEHA+/viAe3rQoI4+LElgIvwBAAHn448PSpJstmBddBE9/euL8AcABJSffjquXbsKJUn9+rWVzWb1bYECEOEPAAgoNZv8Bw7s4MOSBC7CHwAQUFxN/hLh31CEPwAgoNQM/wEDCP+GIPwBAAGjsLBcX31VfVvf3r0TeJJfAxH+AICAkZ39g5xOQ5I0eHBnH5cmcBH+AICA8f77+9zTw4Yl+a4gAY7wBwAEjPff/16SZLUG6YorOvm4NIGL8AcABIR9+4rc4/svvbS9WrUK9W2BAhjhDwAICGvXfu+epsm/cQh/AEBAcDX5S4R/YxH+AAC/V1FRpTVr9kmSYmJsuuginuTXGIQ/AMDvbdhwQEVFJyRJo0Z1k9VKfDUGRw8A4PfeeWeXe3rs2GQflqRlIPwBAH7NMAy9/XZ1+IeEBOnKK7v6uESBj/AHAPi1rVuPav/+YklSRkZnRUXZfFyiwEf4AwD82vLlO93T48bR5N8UCH8AgN9yOg3961//kSRZLNLYsSk+LlHLQPgDAPzWRx8d0J49RZKkoUOT1LFjKx+XqGUg/AEAfmvhwhz39JQpvX1YkpaF8AcA+KVjx05o6dIdkqpv7DN+PE3+TYXwBwD4pQULtqq01CFJuu66HgoLC/FxiVoOwh8A4Hfy8sr06KObJFV39Pvd7/r4tkAtDOEPAPA7c+duUmFh9e18J0/urfPPT/RxiVqWZg3/kpIS3X333Wrfvr3sdrv69Omj119/vTl3CQAIcO+9t09//etXkqSwMKseeeQyH5eo5bE254tnZmbq888/17x583TOOefo1Vdf1XXXXSen06lf//rXzblrAEAA2rDhB40f/5YcDqck6b77+qlDB4b3NbVmC/9Vq1bp/fffdwe+JGVkZOj777/Xfffdp2uuuUbBwcHNtXsAQAA5cuS4Hn303/rrX7+S02lIkjIzu+uhhy71cclapmYL/+XLlysyMlJXX321x/wpU6bo17/+tf79739rwIABzbV7oMkYhiHDqP63+v/V84ODLbJYLD4sGdC8cnNL9e67+7Ry5R599tmPOnasQkFBFp1/foL692+vceOSddFFbU/5e3DihEM//FCsqipD4eFWhYVZFR4eIrvdqsrKKn3//TF98slBrVy5R++8s1uVlU73tsOHd9Grr47i0b3NpNnC/5tvvlHPnj1ltXruIjU11b28ucO/pKRCb765Q1ZrkEJCgmS1BnlNS9LRo6U6fLj658cfS3ToUIkOHizRTz8dV2Wl0/2HPyjIIrvdKrs9+Od/a04HKywsxOP/rnXCwqr/b7NZVdvvyKny45e/UBaLZLdbFRER4vFjswUrONii4OAgBQVZfp62/DwdpOBgi6zWIIWGBiskpPrf+gaXYRiqqKhSRYVTJ044dOJEVS0/J+dXVJx6+cUXt9Pw4V3OeN8N9e23udq06Uc5HE73T2WlU8ePV3r8lJRU/DztqGVepccfpJosFik0NFg2m+vHWmP61PNd34nafux268/fzerPzjXt+r56/rjWOfXymp+x6+Slpl/O+uU6Tqc8jp/rp/p3wvPEqPZ/q6eDgy0evzOu9xoWZlVwcPP+cTcMQ4cOlWjbtnz95z95+s9/8rRtW55mzRqgwYM7N+u+Jenjjw8oK2uPkpNjlJJS/dOhQysFBfnfiePx4xXKycnV2rXfa9Wqvdq06ZDXd0SSPvhgvz74YL8efXST2rQJ1+WXd1TXrtEKDQ3W/v3HtGdPkfbuLdKhQyW1bl+XsDCrZs68VPfee5FCQ2kdbi7NFv55eXnq1q2b1/y4uDj38uZ25EipJk9+t4lf9UQTv55vuILLdSLk8stfVKfTcId5U5k69cKzEv5r136vu+/ObrbXNwy5T2zQcFZrkOz2YIWEBNd5IhwUJAUFVZ/URkaGKjExTImJ4WrdOlzt20eobdsIhYeHyOFw6vDhUu3aVeAO+2PHKrxe86uvDp+V8F+37gc9/vhnHvNstmB16xatzp2jZLdXnxyePCk/+Z4tFik4OOjnk8bqE8nqf4Pd29ntVgUFWWo9cS0pqVRpaaXKy71P0Gs7MS8urjhlWEdEhKhNm3CVlFTqyJFS9/zDh0u1ZMmORh+n1q3DNWVKb91xRx917hzV6NdD3Zq1w19dNcuz0Vx6qhrbmQgNDVbbtuGy263uX0JXEJaXO1ReXqWyMkeThuLZ5MvgOlv7bEhzodUa5NWyYrcHu78DNb+3nq0b3q0ejfn+mYnD4VRJiVNSZT22Oq6dOwsatd8DB0oatf2Z2rWr0GveiRNV2rYtX9u25Z+VMjRUr17xGjWqm0aO7KYBA9orJKS6Jn7wYLFWr96rt9/epfXrD6i42PvkKjExTF27Rqtr12jZbMEqK3OotNShsrLqH0nq3LmVevaM15AhnXXJJe3cr4/m12zhHx8fX2vtPj+/+svuagFoTq1bh+uZZ4a6m3trNv26/jUMQwkJYWrTJkJt2oSrTZsIdegQqYSEsDM6Qak+Iag+Gag+KTh5YuCarjm/pl82sZ6+CdZw/wLVbLauqKhSVZWhqiqnnE7j52nj52mnqqoM9/t1Nd1XVlb/W1FRJYfDecr3arHIXSupqyn7dPNPbm9Vt27RZ/DpNV56eictWDDc65JPeLjnpZPIyFD3dFM2MzqdRo0ThJMnB+XlJ/8A/vIP4okTDvfnVf1TPV1VdXL6l5cxXOt7bues9eSj9stO3peXai6refxqXlKqeUJU/a9qmVf9YlVVTp04cfL3ovrfqhrTjjpPllyXD1zf72PHKlRUdGatcElJUerZM07nnRev885L0HnnxatnzzjFxNjPaPvGeuSRy3TddT20e3ehdu0q9PjXV61GVmuQ16Uomy1YUVGh6t07Qf36tdWVV3ZVly61/6526NBKN9+cqptvTpXD4dT27XnKzS1TeXmVOnaMVJcu0YqMDD3L7wr10Wzhf/755+u1116Tw+HwuO6fk1P9kIbevZv/AQ2xsfZmvytUUJBFYWEh3HbSD/XqlaBevRJ8tv+TfUSskmw+K0dLdeKEQ7m5ZTp8uFSHDpXoyJFSlZc7FBRkUWJiuLtW6esQ6tQpSp06eTdjO52GCgvL3SfhJ05UqarK6a4EuPpNVFWdrGC4TiRd0+XlDvd2pzqhDQ+3usPddQLelP0NrNYg9e7NDXgCTbOF/4QJE/T888/rzTff1DXXXOOe/+KLL6p9+/a65JJLmmvXAEzAZrOqQ4dW6tChlS68sI2vi1NvQUEWxcWF+boYMKlmC/+rrrpKw4YN0+9+9zsdO3ZMKSkpeu211/Tuu+/q5ZdfZow/AAA+0qwd/pYtW6YHH3xQM2fOVH5+vnr06KHXXntN1157bXPuFgAA1MFi1Db410c6duyogwcPqkOHDjpw4ICviwMAQMCoT4Zy6yQAAEyG8AcAwGQIfwAATIbwBwDAZAh/AABMhvAHAMBkCH8AAEyG8AcAwGQIfwAATIbwBwDAZAh/AABMhvAHAMBkCH8AAEyG8AcAwGQIfwAATIbwBwDAZAh/AABMhvAHAMBkCH8AAEyG8AcAwGQIfwAATMZiGIbh60K4hIaGqrKyUkFBQWrXrp2viwMAQMD48ccf5XQ6FRISooqKijrX9avwDw4OltPp9HUxAAAIWEFBQaqqqqpzHetZKssZsdvtKi8vV3BwsFq3bu3r4gAAEDCOHDmiqqoq2e32067rVzV/AADQ/OjwBwCAyRD+AACYTIsN/5KSEt19991q37697Ha7+vTpo9dff93XxQpY69atk8ViqfVn06ZNHutu3rxZQ4cOVWRkpGJiYpSZmak9e/b4qOT+q7i4WPfff7+GDx+uxMREWSwWzZ49u9Z163NMn376afXo0UM2m01du3bVnDlzVFlZ2YzvxL+d6XGePHlyrd/vHj161Pq6HOeTPvzwQ910003q0aOHIiIi1KFDB40bN05ffvml17p8l/1Diw3/zMxMvfjii5o1a5ZWr16tfv366brrrtOrr77q66IFtMcee0yffvqpx0/v3r3dy7dv36709HRVVFRo8eLFWrhwoXbs2KFBgwbp6NGjPiy5/8nLy9OCBQt04sQJjR8//pTr1eeYPvroo5o6daoyMzO1Zs0a3XHHHXrsscd05513NvO78V9nepwlKSwszOv7/cYbb3itx3H29Oyzz2rfvn2aOnWqVq1apSeffFJHjhxR//799eGHH7rX47vsR4wWaOXKlYYk49VXX/WYP2zYMKN9+/aGw+HwUckCV3Z2tiHJWLJkSZ3rXX311UZCQoJRVFTknrdv3z4jJCTEuP/++5u7mAHF6XQaTqfTMAzDOHr0qCHJmDVrltd6Z3pMc3NzDbvdbtx6660e2z/66KOGxWIxvv322+Z5I37uTI/zjTfeaERERJz29TjO3g4fPuw1r7i42GjTpo0xZMgQ9zy+y/6jRdb8ly9frsjISF199dUe86dMmaJDhw7p3//+t49K1rI5HA5lZWVp4sSJioqKcs9PSkpSRkaGli9f7sPS+R9Xs3Jd6nNM3333XZWXl2vKlCkerzFlyhQZhqG33nqrScsfKM7kONcHx9lbbUOzIyMjdd555+mHH36QxHfZ37TI8P/mm2/Us2dPWa2etzFITU11L0fD3HnnnbJarYqKitKIESP08ccfu5ft3r1bZWVl7uNcU2pqqnbt2qXy8vKzWdyAV59j6vpen3/++R7rtWvXTgkJCXzvz0BZWZnatm2r4OBgdezYUXfddZfy8/M91uE4n5mioiJt3rxZvXr1ksR32d/41U1+mkpeXp66devmNT8uLs69HPUTHR2tqVOnKj09XfHx8dq1a5eeeOIJpaena+XKlRoxYoT7uLqOc01xcXEyDEMFBQXcurke6nNM8/LyZLPZFBERUeu6fO/rdsEFF+iCCy5w92FZv369/vznP+uDDz7Q559/rsjISEniOJ+hO++8U8ePH9eDDz4oie+yv2mR4S+pzma+pmwCNIu+ffuqb9++7v8PGjRIEyZM0Pnnn6/7779fI0aMcC/j2De9Mz2mHPuGu+eeezz+P2zYMPXt21eTJk3S888/77Gc41y3hx56SK+88oqefvpppaWleSzju+wfWmSzf3x8fK1nhq7mu9rOPFF/MTExGj16tLZu3aqysjLFx8dLqr1lJT8/XxaLRTExMWe5lIGtPsc0Pj5e5eXlKi0trXVdvvf1N2HCBEVERHgMZ+U4123OnDmaO3euHn30Ud11113u+XyX/UuLDP/zzz9f27Ztk8Ph8Jifk5MjSR5D09A4xs93h7ZYLEpOTlZYWJj7ONeUk5OjlJSUM7rnNE6qzzF1XR/95bo//fSTcnNz+d43kGEYCgo6+aeS43xqc+bM0ezZszV79mw98MADHsv4LvuXFhn+EyZMUElJid58802P+S+++KLat2+vSy65xEcla1kKCgqUlZWlPn36yG63y2q1asyYMVq2bJmKi4vd6+3fv1/Z2dnKzMz0YWkDU32O6ZVXXim73a5FixZ5vMaiRYtksVhOO8Yd3pYuXarS0lL179/fPY/jXLtHHnlEs2fP1h//+EfNmjXLaznfZT/ju1GGzWvYsGFGbGyssWDBAuPDDz80brnlFkOS8fLLL/u6aAHpuuuuM6ZPn24sWbLEyM7ONhYsWGCce+65htVqNd5//333etu2bTMiIyONyy+/3Fi1apWxbNkyo3fv3kb79u2NI0eO+PAd+KdVq1YZS5YsMRYuXGhIMq6++mpjyZIlxpIlS4zjx48bhlG/Yzp37lzDYrEYDzzwgLFu3TrjiSeeMGw2m3HLLbf44u35jdMd53379hkDBgwwnnrqKWPVqlXG6tWrjRkzZhh2u93o1auXUVJS4vF6HGdP8+fPNyQZV155pfHpp596/bjwXfYfLTb8i4uLjf/+7/822rZta4SGhhqpqanGa6+95utiBaz//d//Nfr06WNER0cbwcHBRmJiojFhwgTjs88+81r3iy++MIYMGWKEh4cbUVFRxvjx441du3b5oNT+LykpyZBU68/evXvd69XnmD755JPGOeecY4SGhhqdO3c2Zs2aZVRUVJyld+SfTnec8/PzjQkTJhhdunQxwsLCjNDQUKN79+7G/fffbxQWFtb6mhznk6644opTHt9f1jH5LvsHHukLAIDJtMhr/gAA4NQIfwAATIbwBwDAZAh/AABMhvAHAMBkCH8AAEyG8AcAwGQIfwAATIbwBwDAZAh/AABMhvAHAMBkCH8AAEzm/wFUQatPMZjMmwAAAABJRU5ErkJggg==\n", 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zB71798a4cePQrVs3VFdX48yZM8jLy0NoaKhewtmoUaOwYcMGJCYm4vbbb4evry8iIiJwzz33GB2bh4cH5s+fjxdffBF9+/ZFQkICqqqqdLX4sbGxyMnJ0Ttm2rRp8PHxwbBhwxAZGQlRFJGXl4d9+/bhpptuwujRowEA69atw1tvvYURI0YgKioKQUFBOHnyJL766it4e3sjOTlZd845c+bgxx9/xNtvv40uXbpg7Nix6NSpE0pKSpCfn4/du3dj9uzZePfdd6167601ceJETJ48Wdcn4aeffkJ2djaCg4Px9ttvW3Wuf/zjH3jssccAWD+L8Morr2D79u2IiYnBDTfcAIVCgSNHjuDrr79GYGCgXp+O2NhYeHh44N///jcOHz6MoKAgAMDTTz8NoDbIOX78OBYvXoxPP/0Uw4YNQ7t27XDu3DkcPXoU+/btQ0ZGhq7JGJHDNHJ1BZHFjh8/Lo4fP14MDg4WBUEQAYgfffSR7vGvvvpKvPXWW0WFQiG2bt1aHDNmjLhr1y5dqVzdfUWxtgQyIiLC5HNmZ2eLt912m+jr6ysGBgaKEydOFI8ePSrecccdIgDx8uXLBsf8/PPP4n333Sd26tRJ9PLyEoOCgsTevXuLDzzwgLhjxw69fWtqasR///vfYufOnXUlgCNGjDD7XlRXV4uvvPKK2LNnT9HHx0ds166dOHPmTPHUqVOyZX7vvPOOOGnSJLFz586ir6+vGBQUJA4YMEBcvny5Xjni3r17xX/84x9iv379xKCgIF0J4KxZs8TDhw/LjuWrr74S77jjDjE0NFRs2bKl2K5dO3HQoEHiokWLxKNHj+rta+r1mfp9yJWK1v29bt68WRw8eLDo5+cntm7dWkxMTBR///13g/PIvTd1lZSUiB4eHqKPj49YXFwsu48x27ZtE2fNmiX27NlTbNWqlejn5yd269ZN/Oc//6lXhin59NNPxf79+4s+Pj66Hgd1Xb9+XXzjjTfE2267TWzVqpXo5eUlduzYURw5cqT42muviUVFRbp9pRLIJUuWGDyPufJhS//mqHlix0UiK2k0Gtxwww2oqqrC+fPnG3s4ZEc7d+7EqFGjcM899+iqE4iaM+YkEBlx+fJlXLt2TW+bKIpYtmwZzpw5gylTpjTSyMhRXnrpJQDQlXoSNXecSSAyYuvWrbjrrrsQFxeHyMhIlJWVYe/evTh06BAiIiKwb98+q8rjyDX9/PPPyMrKwo8//oisrCwkJCToVSIQNWcMEoiMyM/Px+LFi7Fnzx5cvHgR1dXV6NixI8aPH4+nnnoKbdu2bewhkh1IC0W1atUKt99+O95++20EBwc39rCIXAKDBCIiIpLFnAQiIiKSxSCBiIiIZLltMyV/f39UVlbC09OT94aJiIiscOnSJWg0Gvj4+KC8vNzofm6bk+Dp6QmtVtvYwyAiInJbHh4eJteOcduZBClI8PDwMFjkhoiIiIw7f/48tFqtbrExY9w2SGjbti3UajU6dOiAgoKCxh4OERGR21AqlVCr1WZv1zNxkYiIiGQxSCAiIiJZDBKIiIhIFoMEIiIiksUggYiIiGQxSCAiIiJZDBKIiIhIFoMEIiIiksUggYiIiGQxSCAiIiJZDBKIiIhIFoMEIiIiksUggYiIiGS57SqQZDmNRou8vAKcP1+ODh38ER2thKcn40MiIjKNQUITp1IdQ3LyThQUlOm2KZUKpKePRGJit0YcGRERuTpeTjZhKtUxJCVt0gsQAECtLkNS0iaoVMcc+vwajRa5uWeQkXEUublnoNFoHfp8RERkX5xJaKI0Gi2Sk3dCFA0fE0VAEIDk5J0YPbpTg249iKIIsbIC/n5eEHx9IQgCAM5gEBE1BQwSmqi8vAKDGYS6RBEoKChD69ZvNuh5fIVq/NjtEwBA9wM/QvDz081g1A9QpBmMzMyJDBSIiNwAbzc0UefPlzv9OcuvVeHKlUrMn298BgMAUlJy9G498LYEEZFr4kxCE9Whg79F+2VnJ2L4cKXNz6OtuIaCYbUzCe3avoMKsaXJ/UUROHv2KvLyChAT04m3JYiIXBiDhCZGKndUq8sQGuqLoqIK2at6QQCUygDExUU2KCdBK9TYdNz58+W8LUFE5OIYJDQhclflcv7KLURaWqxd+yXk58/DngMlSEzcZHbfVq1a4sEHvzWZWJmSkoOEhCj2dCAiaiQMEpoIY1flckJCfHH33T0RHOwDjUZrty/hzp3fN3u7QTJ+/JcmH69/W4KIiJyPQUITYKrcURIS4oOpU7tj/frfUVhYgbS0A0hLO4DwcAVeemk4EhKibHpubUWVjaO2TGMkYBIRUS2rg4SrV6/iueeew6FDh3Dw4EEUFRVhyZIlSE1N1dtPqpeX0717d/z2229m9/3Pf/6DhQsXWjvEZsdcuSMAFBVV4u23fzLYrlaX4e67s21+7toSyNr/vnjpIXj4+gEAsrJOYMGC3VCr9RMSly+vDUh27y5AfLzK7PktTcAkIiL7szpIKC4uxsqVK9G/f39MmjQJH3zwgex+33//vcG2H374ASkpKZg8ebLBY0lJSXjiiSf0tnXqxGlmS7jK1ba/nxc8/LwAADNm9EJSUje8/fYhnDx5GV26BOLhhwfAy6v2Ty4uLhJKpQJqdZnJxMroaNsrL4iIqGGsDhIiIiJQWloKQRBQVFRkNEgYPHiwwbb33nsPgiDg/vvvN3isXbt2sseQea54tS2XRPnKK/t1pY2enh5ITx+JpKRNEAToBQqOSqwkIiLrWP0JLAiCyVsJxly9ehUbNmzAiBEjEBVl2/1vkhcdrYRSqYANvxaHsHTNiMTEbsjMnIjwcIXefiEhvkhOvkmXWElERI3DaYmLn332GcrLyzF37lzZx9etW4dVq1ZBq9WiT58+ePTRRzF79mxnDc+tmbsqt6TiAbCtsVLdZkrl16og1niY7LhYv7QxMbEbEhKikJdXgKysE1iz5le9xEo2ViIiajxOm8tdtWoVAgMDMWXKFIPHZsyYgTfffBPbt2/HunXr0K5dO8yZMwfPPPOMs4bn9oxdlSuVAfj88/EIDfU1eqwgAB071jZW8vf3su7nrxwEoLbjYuvWb+olK9ZXt7RR4unpgZKSSqSnH0BRUaXe/s5asZKIiAw5ZSbhyJEj+OGHH/DII4/Ax8fH4PG1a9fq/XvKlCmYMGECXnzxRcyfPx+hoaHOGKbbq3tVfv58OTp08EdhYQUefzwHhYUVssc01v3//Pw/MWhQbfmkRqO1avaBiIicwymfuKtWrQIAo7ca5MycORM1NTXYv3+/o4bVJHl6eiAmphOmT++JkpJK3HXXVybLI5XKgEZpfzxnzjYoFK9DoXjdptkHIiJyPIfPJFRVVeHTTz/FwIEDMWDAAIuPE/+6rPTw4JWjLSxpsBQQ0BJvvDEKsbFKlJfb1hTJ0c2U6nKVUk8ioubC4UHCpk2bUFRUhGeffdaq4z799FO0bNkSAwcOdNDImjZLGixdvVqNSZO+bNDzyDVTyso6gZkzaxs0yZU2rlkTr9fhkY2ViIhck01Bwtdff43y8nJcvXoVAPDrr78iMzMTABAfHw8/Pz/dvqtWrYKvry9mzJghe66XX34Zv/76K0aNGgWlUolLly5h1apV2L59O1JTUxESEmLLEJu9xrjqlpopzZjRCz4+LQz6JISE+OLtt0cjKam73nFsrERE5JpsChIeeughnD59WvfvDRs2YMOGDQCA/Px8REZGAgDOnj2L7du3Y+bMmWjdurXsuXr06IFNmzZhy5YtKC0tha+vLwYMGICMjAxMmzbNluERrL/qFgSgQwcF9u+/26rkQLGiAiVjPzHYnpjYDRqNiIcf/kZXsVBYWIHHHsuBh4eglwPBxkpERK5JEEVLq+hdi1KphFqtRnh4OAoKmNBWn0ajRWTkSqNX5/ZSe7uhNkjofuBHePw1i2RsVUrpS18uWVKuS2PHjgFIS4tlnwQiIjuy9DuUq0A2Uaauzh2l/FoVPMQWNpc0ypVwRkcrOYNARNRI+OnbhBlrsGRKdnYiysrmo6xsPtaujZdt9SwItT9r18bj4qWHdNvbtX2nwSWNdUs4Y2I6MUAgImpE/ARu4hITu+HUqQfw7bd3IjjY2+h+9bsu+vi0wJNP7jY6GwAATz65GxqN7VMULGkkInJtDBKaAU9PD4waFYH33x+rmwWoSy450FwJpSgCBQVlCOvwrsFjISGGXTXlsKSRiMi1MUhoRkyt71A/kbAhV/n111+oT5q1YEkjEZFrY+JiM2NpcqC9rvJZ0khE5L4YJDRDUnKgKdHRSpMNjiwVEuKrt7iUUsmSRiIid8EggWR5enpg+vQeePnlhi2w9dprsQgPV7CkkYjIDTFIIFkq1TGsWNHwFTjDwxVmZy2IiMg1MUggA5asIGkO11sgInJ/nPclA5asIGkKkxOJiJoGziSQgYY2OWpocqJGo2VrZiIiF8AggQzYWv740Ufj0C6iTYO+1OUWeVIqFUhPH8mKCCIiJ+PlGRmQyh/l1m0w5c47uzdovQVp5cj6tzrU6jIkJW2CSnXMpvMSEZFtGCSQAWkFSWuVX6tCebltP1euVJpcORKoXTlSo9E28NUREZGleLuBZEktnP/xj2/0miGZ0q7tO6gQWzpkPHVXjmRJJRGRc3AmgYxKTOyGgoIHLV6wyRm4ciQRkfNwJoFM8vJqgX/+8yYsWbLH7L4qVQKix0TZ9Dy7dxcgPl5ldj+uHElE5DwMEsisrl2DLNpvx47TGDepl+7f1pQyxsVFmlwrgs2ZiIicj7cbyCxLr94///x3XWKhSnUMkZErERu7HjNmbEFs7HpERq40WqFQN1myflUFmzMRETUOfuKSWdHRSoSG+prdr6ioAnl5BTaXMkrJkuHhCr3tSmUAMjMnsk8CEZGT8XYDmeXp6YFbb22PzZvzze77xx+XsXjxHqOljIJQW8qYkBAlOyuQmNgNCQlR7LhIROQCGCSQWSrVMYsCBAC4//7tJh+3pJTR09ODZY5ERC6Al2dkkrQipL2xlJGIyPUxSCCTrFkR8sMPxyI7O9GifVnKSETk+ni7gUyy5op/6tQeEL190KaND4qLK43u16aND0sZiYjcAIMEMun48VKL9y2/VgWxxkM2aZGIiNwPgwQySqU6ZrbTYt2eBpau3VBcXMk1GIiI3ABzEkiWoxIWJUxcJCJyfQwSSJalCYu23lpg4iIRkevj7QaS5agrfXuuwWDN2hBERGQ9Bgkky9Ir/WefHQqs+cSife25BoNKdQzJyTv1ZjuUSgXS00eyfTMRkZ3wsotkRUcroVQqDBZbkkgzAleuVll8TnutwWDr2hBERGQdBgkky9yqjKIIVFRUY8XL+yw634svRuOXX+7D2LGRKC+vsvnnypVKzJ+/0+jaEEDt2hDSapRERGQ73m4go6RVGetP6wcH1zZLKi6uhK+RmYb6Fi7Mw8KFeQ4a6d8sWRuCiIgswyCBTKq/KmPbtn64777sxh6WWSyxJCJqOAYJZFbdVRlzc89Arbb8Czgl5SYsWzbMbmPZvbsA8fEqs/uxxJKIqOEYJJBVrL1C/+KL41ixIgaenh52KVmMi4uEUqmAWl0mm5dgzxJLIqLmjkECWcXaK3QpP6CkpNIuJYtSQmVS0iZdAqXEniWWRETE6gay0pAhYQgN9bXqmKysE3YtWZQSKsPDFXrb7VViSUREtTiTQBaTGhgVFlZYddyaNb8aLVkUhNqSxYSEKKuu/usnVLLjIhGR/TFIIFn18weKiiowdepXNq3VUFRUafSxhpQs1k2oJCIi+2OQQAbkWh57ego2L+ZkCZYsEhG5Hs7Nkh5jLY81GusiBKVSgbVr45GdnWjR/ixZJCJyPZxJIB2NRovkZPmWx5ZY8OQt6N4vTC8/QKPRsmSRiMhNWT2TcPXqVSxYsABxcXEIDQ2FIAhITU012G/WrFkQBMHgp0ePHrLnfeONN9CjRw94e3ujc+fOWLp0Kaqrq61+QWS7vLwCgxkEa8TEdMT06T0RE9NJl0Bobg0IgCWLRESuyuqZhOLiYqxcuRL9+/fHpEmT8MEHHxjd19fXFzt37jTYVt/zzz+PZ555BgsXLkRcXBz27duHp59+Gmq1GitXrrR2iGSjhuYFDB0SJrvd2BoQSmUA0tJiXapk0R4Nn4iImgqrg4SIiAiUlpZCEAQUFRWZDBI8PDwwePBgk+crLi7GsmXLMG/ePLzwwgsAgJiYGFRXV+Ppp59GSkoKevXqZe0wyQYNzQsw9WXqDiWLcgmbtjR8IiJqKqz+hJZuG9jL1q1bUVlZidmzZ+ttnz17NkRRxJdffmm35yLToqOVUCoVBrcF7EUqWax/S8IVGEvYtLXhExFRU+DQxMWKigq0b98ehYWF6NChAyZNmoRnn30WwcHBun1++eUXAEDfvn31ju3QoQNCQkJ0j5PjmWp5bInya1XwEN0vF1aj0WL+fPmEzYY0fCIicncO+0Tv378/+vfvjz59+gAAdu3ahddeew07duzAvn37oFDUttQtLi6Gt7c3/P0Np7qDg4NRXFzsqCGSDCl/4IEHtqO42HgTJDnt2r6DCrGlg0bWeBrS8ImIyJ05LEh47LHH9P49ZswY3HjjjUhKSsL777+v97ip2xf2vLVB5mk0WrRu7QWt1vw0giDAYP2EpowNn4iouXHq3PDkyZPh7++PvXv36ra1adMGlZWVuHbtGvz8/PT2LykpwcCBA505xGZNLnHPFFGsvWePv3L6Ll56CB6+fqYPckG7dxcgPl5ldj82fCKi5sbpN5BFUYSHx9/3daVchMOHD+PWW2/Vbb9w4QKKiop0tyvIsaTEvYa0XvbxboHv9l1w2eoFY+LiItnwiYhIhlM/wTMzM3Ht2jW9sshx48bBx8cHq1ev1tt39erVEAQBkyZNcuYQmyVbOy2qVBORnz9P9+9evT5CbOx6zJixBbGx6xEZudItqgLY8ImISJ5NMwlff/01ysvLcfXqVQDAr7/+iszMTABAfHw8CgsLMWPGDEybNg1RUVEQBAG7du1CWloaevfujblz5+rOFRwcjKeffhrPPPMMgoODdc2UUlNTMXfuXPZIsBNTTYJs7bSYmLgJvkI1fvzrdoNaXQbg78RFqXwwM3Oiy/cZcKeGT0REziKIovUTzJGRkTh9+rTsY/n5+WjdujXuv/9+HDx4EBcvXoRGo0FERAQmT56Mp556Cq1btzY47vXXX8dbb72FU6dOoX379pg9ezYWLVqEli3ls+WVSiXUajXCw8NRUFBg7UtoVsw1CcrIOIoZM7bYdO7aIOETAMDAY/caVDdIU/X5+fPc4kqcHReJqDmw9DvUpiDBFTBIsIyxXANpGj0zcyKCg30QG7veovMplQosXz4cCQlRAIC8b04gYuEUAPJBgiQnZyrLB4mIXISl36Hu1/mGLGYq10BqEpScvBM//3wvwsMVOHdOPnEPAIKDvfHJJ7cbXFlfvFiOCAvGwvJBIiL3wyChCTOXayCKQEFBGYKD3zZ7rpKS6xg//kuD7XVzEkxh+SARkfvhzdYmzFWu3tu08WH5IBGRG+JMQhNm6dV7dnYihg+v/RLXaLT47rtzuHChHO3b+2Po0DCTiXvVZeU4P+ITu4yXiIhcC4OEJkxa1dFck6C4uEi9QOD222+w+DmeX/4dEs3sU1xcidzcsxg1ypLsBSIichW83dCEObpJkEajxdtvHbRo36lTudwyEZG7YZDQxElNguovxKRUBjS4yVFeXgFKS69btG9JyXUkJTFQICJyJ7zd0AwkJnZDQkKUXZoE1W029Ouv1i/jnZKSg4SEKDYoIiJyAwwSmglPT48GNzOS69zoa8VK3qIInD17FXl5BWysRETkBhgkkEXssUqkxFVKM4mIyDTO+ZJZtq4SaQwbKxERuQfOJJBZtq4SWZ9UcsnGSkRE7oEzCWSWPW4P2KPkkoiInIuf1mSWPW4PBAR4NbjkkoiInItBApk1ZEgYQkN9G3QOT09Bt7w0ERG5BwYJZJJKdQxdunyAwsKKBp2ntPQ68vKMr1lORESuh4mLZJQlZY9BQT4Wn4+lj0RE7oUzCSTL0rLH0tJKi8/J0kciIvfCIIFk2avsEfi79FGj0SIj4yhyc89Ao9Ha5dxEROQ4vN1Asux1a0AQatsxV1RUY/ToTN12pVKB9PSRrHYgInJhnEkgWfa6NRAcXJuzUFysf1tCrS7jqpBERC6OQQLJio5WQqlU6JogWWPBgkH48MOx2Lx5Ery9PWX3kXIdUlJyZG89aDRa5Oae4e0JIqJGxNsNJMvT0wPp6SORlLRJd8vAUi+9tM+i/YytCim32iRvTxAROR9nEsioxMRuyMyciPBwhUOfp27+g1R2WT9pkrcniIicj0ECmZSY2A2nTj2AnJypWLfuDixdOsTk/o88MgAXLz6Eixcfgko10aLnCAz0Rnl5Fa5cqcT8+fJll+ZuTxARkf3xdgOZ5enpoXc7oKysCi+/vF9237feOoS33jpk1fnj41UW7Wfs9gQRETkGZxLIKrW9Dn5r1DGwcyMRkXMwSCCrWNNkSRCAtWvjsXZtvEFeg1KpwNq18Sgrm6/7yc5OtOi87NxIROQcvN1AVrH2Kv7JJ/OwevVYLF8+HIWF1xAa6ofwcAWio5Xw9NSPUePiIqFUKqBWl8nmJUidG6OjlQ15CUREZCEGCWQVa67iRREoKLgq22mxfoAAmC67lPo1pKXFyh5LRET2x09bskpDmiwB5ksZjZVdKpUByMycyD4JREROxJkEskrdq31biGLtrEBKSg4SEqJkZwUSE7shISEKeXkFOH++HB06+MveniAiIsdikEBmaTRavS/shIQoZGZORHLyThSrS60+nyWljPXLLomIyPkYJJBJploknzr1AF5cugtY/4lN52YpIxGRa+P8LRllrkVyVtYJ/HvhrTafn6WMRESujUECydJotEhONt0iOTl5J65cvW71uQUB6NiRpYxERK6OQQLJMtc0qba8sQxhHd616fwsZSQicn38lCZZWVknrD7GktUiWcpIROQ+GCSQAY1GizVrfrVo33UZd+j+u6KixuS+S5cOwalT8xggEBG5CVY3NDP1yxnl+g/k5RWgqKjSovPNmL4FP/71nV9SUgmgpcE+bdr4YOXKOAYHRERuhkFCM2KqnLHuF7i9SxN9fVsgISHKruckIiLH4+2GZsJcOWPdNsmWliZmZydCpUowu19BQRny8gqsGzARETU6BgnNgMXljFcqUV5ehZtuaovwcNPrMyiVCgwdGoaLFy2bdWDjJCIi98PbDc2ApeWMrVu/afE5pf19hWpdToIpbJxEROR+GCQ0A65wFV9YWNHYQyCyO0sSgYncGYOEZsCaHIPhw/W7IGo0Wnz33TlcuFCO9u39MXRomN6HoLbiGgqGmV+74YkncpGY2JUfoNRkWJoITOTOrP7Evnr1KhYsWIC4uDiEhoZCEASkpqbq7aPRaPDqq69i3LhxUCqV8PPzQ8+ePbFw4UJcvnzZ4JyCIMj+vPjii7a+LqojOloJpdJ4joHUJjkuLhL+/l56P61a+eD222/A7Nl9cfvtN6BVKx/9ffy8LBrD2bNXkZt71o6viqjxWJMITOTOrJ5JKC4uxsqVK9G/f39MmjQJH3zwgcE+FRUVSE1NxfTp0zF37lyEhITgwIEDWLZsGb766ivs378fvr6+esckJSXhiSee0NvWqROXCrYHT08PpKePRFLSJggC9BIYpcDBGW2S77xzE958cxTLIcmtaTRazJ9vPBFYEICUlBwkJERx5ozcntVBQkREBEpLSyEIAoqKimSDBF9fX+Tn56NNmza6bTExMejUqRPuvPNOfPHFF5g5c6beMe3atcPgwYNteAlkicTEbsjMnCgzPRqAtLRYp0yPlpZex913Zzv8eYgakyjWzpzl5RUgJoYXOuTerA4SBFN1cX/x9PTUCxAkt9xyCwDg7FlOOzeGxMRuSEiIsluilZS01c7O4yRqClwhYZiooZyauLhz504AQO/evQ0eW7duHVatWgWtVos+ffrg0UcfxezZs505vGbB09PDLlc3UtJWsbrUohLI+uSSJIncwe7dBYiPV5ndj2W/1BQ4LUhQq9VYuHAhbr75ZowfP17vsRkzZuCOO+5Ax44dcenSJaxatQpz5szBH3/8geeee85ZQyQzpJmDrKwTSEs7AADwNT+xJOvy5evw97cs6ZHIlcTFRUKpVECtLpPNSxCE2tt40dEMgsn9OSVIKCkpQXx8PERRxOeffw4PD/3p7bVr1+r9e8qUKZgwYQJefPFFzJ8/H6Ghoc4YJpkgV+7VELzKInflKonARM7g8L/i0tJSjBkzBmq1Gt988w1uuOEGi46bOXMmampqsH//fgePkMzJzPwdU6YYlnvZQiq35FUWuTMpETg8XKG3XakMQGbmRPZJoCbDoTMJpaWlGD16NPLz87Fjxw7069fP4mPFv8Lz+rMO5FwbNvyO6dM323Qsr7KoKbN3IjCRK3JYkCAFCH/88Qe++eYb3HjjjVYd/+mnn6Jly5YYOHCgg0ZI5qhUxzB16lc2Hbt06RC8//7PjVZuSeQM9koEJnJVNgUJX3/9NcrLy3H16lUAwK+//orMzEwAQHx8PARBwNixY3Hw4EGkpaWhpqYGe/fu1R0fGhqKLl26AABefvll/Prrrxg1ahSUSqUucXH79u1ITU1FSEhIQ18j2UBaOdIWSmUAFi0ajEWLBvMqi4jIjdkUJDz00EM4ffq07t8bNmzAhg0bAAD5+fkAgH379gEAkpOTDY6/7777sHr1agBAjx49sGnTJmzZsgWlpaXw9fXFgAEDkJGRgWnTptkyPLIDcytHmlJRUY2srBNITOzGqywiIjdmU5Bw6tQps/uIcrVBMiZMmIAJEybYMgxyEI1Gix07zth8fElJJZKSNjGBi4jIzXHul/SoVMcQGbkSy5btNb+zEVJ8mJKSA41Ga6eRERGRs3GpaNKRVrazcBLIJPavJyJHkJq6MdfJORgkEIC/ExXtESDUxf71RGQvck3dlEoF0tNH8tamgzD8IgANS1Q0hZ0VicgepJnO+p9TanUZkpI2QaU61kgja9o4k0AA7H/FLwhAeLgCN93UFuXlVXY9NxE1LxqNFvPny890imLt501KSg4SEqJ468HOGCQQAOuu+MPDFXjppeEAgHn3ZMnuI4pAQUEZWrd+0y7jIyIyhjlQjsOQiwAA0dFKKJUKXetkU86dK8PMmdnw8vLEU4sGO35wREQWYA6U/XEmgQCYXtmuPumxadM2w0tbBSlfKDDQG48/PAgLFgzilB8R2c3u3QWIj1eZ3Y85UPbHIIF0pJXtLF0SWqMRgTozD3/+eR0vvPADbrqpHTONqdGxVK7piIuLhFKpgFpdJnsBIwi17eC5uqz98f8Y0pOY2A2nTj2Ap5+2/jYCmyiRq5CagsXGrseMGVsQG7sekZErmQHvpqSZTgAGt0S5uqxj8R0lA56eHhg1yrbkn7oJRESNgaVyTZM00xkertDbrlQGsAW8A/F2A8mSEhmNTe+Zk5//JwYNMl76qNFo8d1353DhQjnat/fH0KFhvAqgBmOpXNOWmNgNCQlRvI3kRAwSSJY1iYxy5szZhjlztjlmcEQ2Yqmc+/P09ODvzokYfpEejUaL3NwzyMg4iuBgH6xfP8Fges/T04I6SSIXxlI5IstwJoF0jPVFf/XVWISG+uqm9woLK3DXXV8ZHC8ItcUOq1aNxR133GDwuEajxcCBa4x+QEtdGo8cmcXpQ7IJS+WI7ItBAgEwvgKkWl2Gu+76CpmZEzF9ek/ddk9PAcnJO1GsLtVtE8XaH1tvM0hdGg8cuMTpRLIJS+WI7IuXa2RyBUhpW3LyTly5Uony8iqUl1dh7NhIHDkyC/+3YJDdx8OpYLIVS+WI7IszCWR2BUhT6zD4CtWYVq/ySPowXrMmHgkJUbrtnAomZzDWFEypDEBaWixL5YiswCCB7H7lLpWaLVyYh7vu6qG7auNUMDkLS+WI7IP/x5DFV+7Z2YkoK5uPsrL5yM5ONLmvXFMlTgWTM0mlctOn90RMTCf+XRHZgP/XkNkVIAUB6NgxAHFxkfD394K/vxcuX75u0bnV6jJdSWVu7hkkJESxaxoRkZvg7QYy2TjJ2BV+27Z+Fp07JWUniooqdf9WKhVITx+JU6ce4FQwEZGL46cyAbC+L7pGY1kLxroBAvB3//ysrBOcCiYicnGcSSAdS5O9VKpjmDfP9l4I7J9PROQeGCSQHnN90Y01XbIG++cTEbkHBglkMVNNl2xhbemlRqNlHgMRkRMxSCCLmWu6ZC1rmiYZW1ciPX0kKyKIiByEl2Fuou7qjLm5Z6DRaJ0+Bkuv/IODfdCmjY/ZkkpLmyZJtzjqByhSEqRKdcyi8xARkXU4k+AGXOUq2tIr/48/vh1XrlzHzJnZRksqX3wxGpWVNWbPpdFoMX++8XUlmARJROQ4DBJcnKnVGZOSNjmlAZGUC6BWlyE01BdFRRUm8xImTNho9DHpuLvvzrbL2JgESUTkOAwSXJi51RkFoXZ1xtGjHddnICvrBBYs2A212n65CI7AlSOJiOyPQYILa8jqjI3hww/HYsKdfex6Tq4cSUTUeBgkuDB3uzqeOrUHPPy87HpOrhxJRNR4GCS4MGtWZxw+3L5fkpZewTuaLetKEBGRfTBIcGHS6ozmrqLj4iKt+pK0pCmRpas8OoO0roRhhUcA0tJi2SeBiMhBGCS4MEdcRVtaTulq9/gtXVeCiIjsh5+wLs7a1RlNsaYpkTSL4UqkdSW4ciQRkXNwJsEN2OMq2pZyyuXLh9utnwEREbkfBgluwtzqjOY4o5wya9MJTJ7Wz+bjiYjItTBIaCacUU6ZPH8nrmlaIDxcwXwBIqImgEFCM9GQcsqsrBMW3XYoKqrAzJm1+3GFRiIi98dLvWZCSkQ0tzJjXFwk/P299H5mzOiFlJSbrHq+goIyTJmyCc8+u6dRVqwkIqKGY5DQTEjllAAMAgVLyikTEqJset4lS/YgIuI9LudMROSGGCQ0Iw0ppzQ3E2GKWl1uUGJJRESujzkJzYyt5ZSmGjtZKiUlBwkJUUxoJCJyE1Z/Wl+9ehULFixAXFwcQkNDIQgCUlNTZfc9cOAARo8eDYVCgcDAQCQmJuKPP/6Q3feNN95Ajx494O3tjc6dO2Pp0qWorq62dnhkAVubEkkzEcHBPlY/pygCZ89eRV5egdXHEhFR47A6SCguLsbKlStx/fp1TJo0yeh+v/32G2JiYlBVVYX169fjww8/xLFjxxAdHY3CwkK9fZ9//nkkJycjMTER27Ztw8MPP4wXXngBjzzyiNUviBwrISEKPj6eNh/vbitbEhE1Z1bfboiIiEBpaSkEQUBRURE++OAD2f0WL14Mb29vbN68Ga1atQIADBw4EF27dsWKFSuwfPlyALVBx7JlyzBv3jy88MILAICYmBhUV1fj6aefRkpKCnr16mXr6yM7e/75vVCrbf+id7U1IYiIyDirZxIEQYBgJnutpqYGmzdvxpQpU3QBAlAbYMTGxmLjxo26bVu3bkVlZSVmz56td47Zs2dDFEV8+eWX1g6RHESlOoYlS/bYdKwgAKGhvlCry5Cbe4ZlkUREbsAhGWQnT55ERUUF+vUzbNHbr18/nDhxApWVlQCAX375BQDQt29fvf06dOiAkJAQ3ePUuKS1H2wlikBhYW2zpdjY9YiMXMlqByIiF+eQIKG4uBgAEBwcbPBYcHAwRFFEaWmpbl9vb2/4+xtOQwcHB+vORY3L3NoPdXl6mq+TlFt5koiIXItDa9FM3Zao+5il+1HjsSbhcPXqccjOTsSqVXEICZGvhBDF2p+UlBzeeiAiclEO6ZPQpk0bAJCdBSgpKYEgCAgMDNTtW1lZiWvXrsHPz89g34EDBzpiiGQlaxIO77nna4v3lcoiG7LCJREROYZDZhK6dOkCX19fHD582OCxw4cPIyoqCj4+tVeYUi5C/X0vXLiAoqIi9OnTxxFDJAtoNFrk5p5BRsZRaDRamzsumqNWW3Ybg4iInMshQUKLFi0wYcIEqFQqXL16Vbf9zJkzyMnJQWJiom7buHHj4OPjg9WrV+udY/Xq1RAEwWQvBnIcleoYIiNXIjZ2PWbM2ILRozNRUVEDUTRc+6GhCguv2feERERkFzbdbvj6669RXl6uCwB+/fVXZGZmAgDi4+Ph5+eHpUuXYtCgQRg/fjwWLlyIyspKLF68GCEhIXjiiSd05woODsbTTz+NZ555BsHBwYiLi8O+ffuQmpqKuXPnskeCk2g0Wl2r5uPHS5Gauseg9XJJSW1FSnCwD4qLK+323KGhfuZ3IiIipxNE0fou/JGRkTh9+rTsY/n5+YiMjAQA/Pjjj3jyySfx/fffo0WLFhg5ciRWrFiBLl26GBz3+uuv46233sKpU6fQvn17zJ49G4sWLULLli1ln0epVEKtViM8PBwFBWz12xAq1TEkJ++0qHpBEICwMH+8994YXLpUgQ5BnohYOAUAoPzv9/Dw/fsLf/fuAsTHq8yeMydnKnMSiIicyNLvUJuCBFfAIME+VKpjSEraZNOCTQDgK1Tjx26fAAB+/vc6tItoo1swSqPRIjJypcngo2PHAOTnz+OiT0RETmTpdyg/mZsxqUGSvcLE2bO36jVKklaONJbDIAhAWlosAwQiIhfFT+dmzJoGSdao2yhJWjlSqVTo7dOxYwAyMyciMbGb3Z+fiIjswyF9Esg9OGpFRqkCIiUlBwkJUUhM7IaEhChdYmSHDv66WxJEROS6GCQ0Y45ckVEU9RsleXp6MDmRiMjNMEhoxqKjlVAqFVCry+yWl1Cfo2YriMi+6pZBc7aPJPwLaMakxELAsEGS9O+lS4dgzZp4o2swmOPI2Qoiso/6zdO4UitJGCQ0c1JiYXi4fmKhUhmAL76YiMWLhyA8XIGiIuuaJwlCbXJidLTSnsOlJqBuu+/c3DNc4KuRSWXQ9ZOYuVIrAbzdQIDZxEJrbxlIsxAvvhiNysoaew+X3FhW1gksWLBbb72O8HAFXnppOBISohpxZM2TRqPF/PnyZdD1E5B566F5YpBAAGAysdDaWwbSB87dd2c3dFjUDKjVZfxbcVH1E5Cp+WGQ4KacmWTkjARHInJdTEBuvhgkuCG5tRaUSgXS00c6pDmRlOCYlLQJggC9QMERS0dT85WdnYjhw5nH4iyWrq/CBOTmi0GCmzG21oKUZOSoLoZSgmP94CQsPMDuz0XN1+XL1+Hv79XYw2g24uIiTc4SCkJtEjMTkJsvBgluxNRaC1KSUXLyTowe3ckhtx7Gjo3EkSOz8N1353DhQjnat/fHbTcF4fyItwAAFy89pLcKJOlrzkl7vGJ1TZbMEnJ9leaNQYIbMbfWgigCBQVlaN36TaeNqXYVyNr/9vfzgocfrwLlqFTHMHNmtkGAd+5cGWbOzG7y61jwitV1GZslVCoDkJYW26T/Lsk8BgluxNWTh9av/w0T7uzT2MNwOSwz4xWrq+P6KmQMgwQ3YulUrCOTv7KyTsheEQPAnDnbUDF7p0OetylrLmVmvGJ1bVxfheQwSHAj5koRpSnbuLhIu14BSOWWanUZHnssh2WQDuLqM0X2wCtWIvfCIMGNNMaUrVy5pTksY9PHpD19vGIlch8MEtyMvadsTTVlMlZuaQ7L2PQxaY+I3BWDBDdkrylbU02ZEhKijJZbmtNcrogtxaQ9InJXDBLcVEOnbM01ZUpNHWLVLQbgr5Uf/7oi5tr0+pi0R0TuiEFCM2RJU6b09B9tOndaWiyysk44tW20u2DSHhG5GwYJzZAlTZlKSq5bfd41a++ACDRK22h3waQ9InInvIRphhxVahcb29Fk0yCgtmmQRqN1yPMTEZF9MUhohixNLFy06FYIguFKj9K2tWvjcfHSQ7rtYR3e1VuXoL66TYOIiMj1MUhohqSmTMaWeRYEoGPHACxdOhSZmRMRHq7Qe1ypDEBm5kTMmNEL/jas1ZCVdcKWYRMRkZMxJ6EZsqYkz5pku6AgH1SUaMw+/9q1R7FiRQwT9oiIXBw/pZspqSTP2CxB3eRCKdlu+vSeiIn5exlqjUaL3XVuHZSWVlr03IWFFbzlQETkBjiT0Iw1pCRPasRUrC7VLRVtjeawTgERkbtjkNDM2VKSV7cRk6+RvAZz2JWRiMj1MUggi2k0WuTmnsG8edttXgmS6xQQEbkPBglkEVtWg6yP6xQQEbkXBgmkY2y9BVtXg6yP6xQQEbkXBgkEwPiKkK++GovHH89pUICQknITEhKiuE4BEZGbYZDQDJhbkdHUipBTp35l8/N27MiZAyIid8YgoYkzNkMgrchobkVIW3DmgIioaWCQ0ISZmiGQVmQMDvZpUDJiXeHKACxPi+PMARFRE8EgoYkyN0MgCEBy8k4sXTrEbs/565FZaBmg0D2/LU2aiIjIdTBIaKLy8gpMzhCIIlBQUIb7799ut+eUggBztziIiMg98NKuiWqstsfSLY76AYp0i0OlOtYo4yIiIutxJqGJsrTt8aJFt+Kdd35CSYnh4kxS86M1a+KRkBAFjUaL7747hwsXytG+vT+GDg2DUFWJgmGfAACuXL2O+fNN3+JISclBQkIUbz0QEbkBBglNVHS0EkqlAmp1meyXtiAAwcE+eP75H4yeIzjYBytX6ici3n77DXr7aK9pdf8d1uFdVIgtjZ5PFIGzZ68iL6/A6vUiiIjI+Xg510R5enogPX0kgL9nBCT1/22Mj48nRo/uhPLyKuM/16qsHhtXgCQicg+cSWjCEhO7ITNzokwSYQDmzu2LJUv2mDxerS5H69ZvmtzHV6i2eqlorgBJROQeGCQ0gDuU+SUmdkNCQpTBONev/93pY+EKkERE7sVhQcKsWbPw8ccfG338+++/x+DBg43u1717d/z222+OGl6DuVOZn6enh0EOgKVX89nZiRg+XP5LfffuAky543OLzsMVIImI3I/DgoRnnnkG//jHPwy2T5gwAd7e3hg0aJBum6+vL3bu3Km3n6+vr6OG1mCWdDJ0tUChPksSG5XKAIwa1Ql79pyTnS25fPm6xc/HFSCJiNyPw4KELl26oEuXLnrbdu3ahaKiIjz99NPw9PTUbffw8MDgwYMdNRS7srST4ejRnVz+inn58uGYOTMbgqC/ToN01T9lSlfccMMHUKv/ni0JD1fgpZeGIyEhCoGB3hY9z2uvxeCf/7zJ5d8PIiLS59SchFWrVkEQBMyZM8eZT2tXlnYyNJfw58qkgCEt7YDBY2p1Ge6+O1v3b18TlRLSbMTDDw9w+dwNIiIy5LQg4c8//0RmZiZGjRqFzp076z1WUVGB9u3bo7CwEB06dMCkSZPw7LPPIjg42FnDsxjL9ywjzUZMm9YdXbp84Ba5G0REpM9pQUJGRgYqKipw//33623v378/+vfvjz59+gCovSXx2muvYceOHdi3bx8UCoWzhmgReyT8ubrduwsQH69q0DmUygBMm9YdK1bsd+vcDSKi5sxpQcKqVavQpk0bTJ48WW/7Y489pvfvMWPG4MYbb0RSUhLef/99g8cbm6UJf3FxkY0+pW5riaY1CYl1qVQJOF+qQfv2/hg8uD369v2ELZqJiNyYU4KEn3/+Gfv370dycjK8vc0nu02ePBn+/v7Yu3evE0ZnHamTYVLSJqMJf65Q5teQEk1rZkuGDQrWrd2QmJhlsi1zXWzRTETk+pzyTbZq1SoAwNy5cy0+RhRFeHi45hWm1MkwPFz/VohSGeASU+gNXYlRmi0x1r5ZEICOHWtnS/z9vBo0VuZ4kKU0Gi1yc88gI+MocnPPQKPRmj+IiBrE4TMJ169fx5o1a3DLLbfo8g7MyczMxLVr11y6LNJYJ8PGnkGwV4mmufLIF1+MRmVlDbQVf6/dcPHSQ/Dw9QNgeV4DWzSTJdypeRlRU+LwIOHLL79ESUmJ7CzC6dOnMWPGDEybNg1RUVEQBAG7du1CWloaevfubdXMQ2OQ62TY2BxdoikFDFIZZN21G/z9vODx18xCXFykydwNAAgN9cWQIWE2jYOaj6bQvIzIXTk8SFi1ahX8/f0xbdo0g8datWqFdu3a4dVXX8XFixeh0WgQERGB+fPn46mnnoK/P68yrdWY0/fl16rgIf79J2VsNkJSWFiBG274QNeciag+jUaL+fNNz4wxAZbIcRweJGzfvt3oY0FBQVCpGlZqR/qcXaKprbimS1xs1/YdixMXJfWbMxFZgwmwRI7FVSCbGGeXaGqFmgafg6ihmADretxhlVwyj0FCE+MuJZpy3LkBFTkGE2DdExNNmw4GCU2QVKJp+D+pa6/EePnydfj7N6ykkpoWcwmw0sxYdDSDS1fBRNOmhUFCE9UYJZr5+fMg/LXE95Ytf2DRov9aNQ0cGOiN8vIq8ztSs2JpOS41PiaaNj0MEpowe5doyt1jrNtvqXPn961OXKyroetFUPNSvxyXXB8TTd0PgwSyiLF7jK+/PAQ9GnFcROR+mGjqPhgkkFmm7jHOvHsL9ne1/dxKpQLLl7NPAlFTwETTpodBAplkrs0zjKzvYM6jjw7AlCndDPIkWDZF5L6YaNr08NOXTLKkzbPk4qWHkJ2daNF5p0zphpgY/fUjVKpjiIxcidjY9ZgxYwtiY9cjMnKl2QWpiMg1SCXYAAwWiHP1EmySx98UGaXRaLFjxxmL9/f389JdSZhbQbL+lURDV64kItfg6qvkknV4u4FkySUqmiOt3WBtyRrLpoiaFlddJZesxyCBDBhLVJRTd8bA3NoNtpassWyKyP244iq5ZD2GdaTHVKJifcZuKTgKy6aIiJyLQQLpMZeoWJcoGiYulpXN1/2sXRsvG0gIQu3P2rXxKCubb3GyI8umiIici7cbSE9DrtY1GhH/3V2ACxfKERrqh//7v90m8wwWLszDXXf1YNkUEZGLYpBAeiy9WpdWbNRWXEPBsE8AAGEd3rW4LXP9PAN3XbmSiKgp46cu6YmOVpotYVQqA+Dl5YFNm07ixx8vNej5pJkLlk0REbkeziSQHqkZirGrelEEKiqqMXp0JgDAV6jGjw34/q47c8GyKSIi18IggQxIV/X1+yQEB/uguLgSxcWVDX4OY3kGLJsiInIdDBJIVv2r+rZt/XDfffZZkpd5BkRE7oFBAhlV96o+N/cM1Gr79ClQKgOQlhbLPAMiIhfHIIEs0pDSyPBwBT7++HZcunSNeQZERG6EQQJZpCGNjB54oB9GjYqw42iIiMgZGCS4GI1G65LZ/YWFFTYf27VrkB1HQkREzsIgwYXIrbyoVCqQnj6yUe/fazRaPP54js3Hs50yEZF7avxLVALw98qL9ddNUKvLkJS0CSrVsUYamXXrOdQlCEDHjmynTETkrjiT4AJMrbworXOQnLwTo0d3apRbD/n5f9p0nCgC06Z1d4nbJUREZD0GCS7A3JW6KAIFBWVo3fpNJ47KPlas2I/Bg8NY7khE5IZ4iecCGlJe6A5SUnKg0Wgt2lej0SI39wwyMo4iN/eMxccREZH9cSbBBVi78mJjyMo6gZkzazsuyt0WMab+ao+muGriJhFRc8UgwQVIKy+q1WWyX8DSOgdxcZGNdn9/xoxe8PFpIbuegyXMzZZIiZv1X7+UuMmVIImInI9Bggswt/Ii4BrrHMit0pj37Qkg0/yxgYHeKC+vkn1Mo9Fi/nzTiZspKTlISIhq9PeAiKg5YZDgIoytvOhq6xzUXc9BpTqG/7zwA5IsGFp8vMrm57TmlgUREdkPgwQXInel7iodF+uTyjadqakneBIRuRoGCS6m7pW6K5PKNn0Fy/aXbpusWROPhIQovcd27y6waKaBnRuJiJzL9S5Rya4cVVJo7VW9lG+wcGEefHxawN/fS/cTFxcJpVKhCyTqY+dGIqLGwSChCVOpjiEyciViY9djxowtiI1dj8jIlXZp8WzLVX3d3IK6pMRNAAaBgislbhIRNTf81G2iHL0WhFS2aezq3xS5WQgpcTM8XKG3XakMYPkjEVEjYU5CE+SstSCWLx+OefdkWX2csVkId0rcJCJqDhgkNEHOXAvC0sRFibncAndJ3CQiag54idYENVapYGCgt9l9Xn01hjMDRERugjMJTZC1SYWmyhPN0VZcQ8GwTwAAly9fB9DS5P4hIb5WnZ+IiBoPg4QmyNxaEPVJeQoLFuxGq1beKCy8hvbt/TF0aJjdr/rZEImIyH0wSGiCTK0FYYwo1lY+TJiw0arn8hWq8aMVhQdsiERE5D54c7iJMlZS6EhBQcZXhGRDJCIi98OZhCasbknhjh1nsGzZXqvPIQhAhw4K7N9/t+yth683/gq8VpuTUFpaCbmcBDZEIiJyTw77xM7NzYUgCLI/e/fqf1kdOHAAo0ePhkKhQGBgIBITE/HHH384amjNilRSmJo6xKbmR6IInDtXhrCw99Cu3TsGPw899K3Zc7AhEhGRe3L4TMILL7yA2NhYvW19+vTR/fdvv/2GmJgYDBgwAOvXr0dlZSUWL16M6OhoHDp0CKGhoY4eYrNgS55CQwUH+2D9+gmIienIGQQiIjfk8CCha9euGDx4sNHHFy9eDG9vb2zevBmtWrUCAAwcOBBdu3bFihUrsHz5ckcPsdmQ8hSSk3eabLYkZ9GiW/HCCz9YFVyUlFTC01NggEBE5KYa9dO7pqYGmzdvxpQpU3QBAgBEREQgNjYWGzdal2lP5iUmdsOpUw8gJ2cq1q27A99+eyfCw/1NrsCoVAZg9epfbJp9YMkjEZH7cniQ8Mgjj6BFixZo1aoVxo4di//+97+6x06ePImKigr069fP4Lh+/frhxIkTqKysdPQQmx0pT2H69J4YNSoCr78+CoDxFRjnzesLtdq2L3uWPBIRuS+HBQmtW7dGcnIy3nvvPeTk5CA9PR1nz55FTEwMtm3bBgAoLi4GAAQHBxscHxwcDFEUUVpa6qgh0l/MrcDYtWuQ1eeUZiA0Gi0yMo4iN/cMNBqtvYZMRERO4LCchBtvvBE33nij7t/R0dGYPHky+vbtiwULFmDs2LG6xwQTKfemHiP7MbUCY27uGavOJSVGVlRUY/ToTN12pVKB9PSRrHIgInITTs1JCAwMxPjx4/Hzzz+joqICbdq0AfD3jEJdJSUlEAQBgYGBzhxis6TRaJGbewbr1/8OAJg6tTtiYv5eRlpq82ypgAAvAEBxsf6tIrW6DElJm6BSHbPTyImIyJGcnrgo/pX9JggCunTpAl9fXxw+fNhgv8OHDyMqKgo+Psa7+FHDqVTHEBm5ErGx6zFjxhbExq5HZORKvS9yqXzSUh5G/qqkxMeUlBzeeiAicgNODRJKS0uxefNmDBgwAD4+PmjRogUmTJgAlUqFq1ev6vY7c+YMcnJykJiY6MzhNTsq1TEkJW0yKIeUu+JPTOyGpUuHWHTey5erjD4misDZs1eRl1dg26CJiMhpHJaTMGPGDHTq1Ak333wzQkJCcPz4cbzyyiu4ePEiVq9erdtv6dKlGDRoEMaPH4+FCxfqmimFhITgiSeecNTwmj2NRovk5J2yZY3SqpDJyTsxevTftx1SUm7Ce+/9hHPnGl7WyNJIIiLX57AgoV+/fvj888/x7rvvoqysDMHBwRg2bBg+/fRTDBo0SLdfjx49kJubiyeffBJJSUlo0aIFRo4ciRUrVrDbogPl5RWYbKgkikBBQRlat37TqvNOmdIVX3xx3Ox+LI0kInJ9DgsSFi5ciIULF1q078CBA/Htt+bXACD7cdSV/BdfHEebNj4oKamUnaWQSiO5GiQRkevjKpDNlKVX8tnZiRg+/O8vdI1Gi169VkOtlp+FEATg+nWNye6MXA2SiMg98JO6mZLKGk21Y+7YMQBxcZHw9/fS/Rw4cMlogADU3qYoK6s2+vi//nUz+yQQEbkJBgnNVN2yRmPtmOWu+LOyTjToeT/77HeWPxIRuQkGCc2YuXbM9a/4VapjSEs70KDnZPkjEZH7YE5CM2esHTMA5Oae0W0bMiQMyck77fKcLH8kInIPDBJItyqkRKU6huTknXolkiEhPigqss+KnCx/JCJyDwwSSI/UhbF+dYKlAYJC0RLl5dUsfyQiagKYk0A6prowWuqOO24AYF0yJBERuSZ+WpOOuS6Mlvj889/xr3/dbJAMGR4unwxJRESui0EC6dgjoVAQgA8//AVarX6Zoyiy7JGIyN0wSCAdeyQUiiJQXFyJc+eu6W0/d67cYGVJIiJybQwSSMeSLoxt2vjYdG4pzyElJYfNlIiI3ASDBNKxpAvj/Pk32Xx+UWQzJSIid8IggfSY68K4aNFgm2cTJA3NfdBotMjNPYOMjKPIzT3DmQkiIgdhnwQyYKwLo6enh12+kBuS+yDX6EmpVCA9fSQrJ4iI7IxBAsmq34VRkpdXgOJi2zovNrSZkrFGT2p1GZKSNrHEkojIzhgkkFVsXQVSyml48cVoVFbWWH28RqPF/PnyjZ5Esfb8KSk5SEiIYrMmIiI7YZBAFmvIKpDSl/vdd2fbcUT655eSIuVmQIiIyHq85CKLSC2bXR1XmCQish/OJJBFrGnZnJJyE5YtG2bX59+9uwDx8Sqz+3GFSSIi+2GQQHo0Gq1sVYM1V+jp6QcQHa20axJhXFwklEoF1OoyrjBJROQkDBJIx1R5obVX6PZOIpQaPSUlbYIgQC9Q4AqTRESOwU9UAvB3eWH9WwpSeWFhYYXJls11OaqzorlGTyx/JDLE5mPUEJxJIF1Soqnywscfz8F//hONe+/92uLzOiKJ0FSjJyLSx+Zj1FAMEshsUqIoAgUFZbjnHssDBMBxSYTGGj0R0d/YfIzsgUEC2f2KXxCA8HAFbrqpLcrLq4zup9Fo8d1353DhQjnat/fH0KFhnBEgsgM2HyN7YZBAFl/xZ2cnYvjw2uqBrKwTmDkzWzZHQZp5aN36TXsOk4jshM3HyFIMIQnR0UqTSYmCAHTsGIBRozph374L2LTpJMLCFFi/fgLCwhTyBxGRy2PzMTKHMwlkUXnhtGnd0aXLBwYJUK+9OBx47m0AwLqMO3Dr8M4mpy81Gi0GDlxj9MNJulVx5MgsToMS2YjNx8heGCQQgL/LCw0zoQMwbVp3rFixXzYB6r57s7G/a+2/Z0zfggqxZYPGId2qOHDgEqdBiWzE5mNkLwwSSEeuvHDIkDB06fKB0QQoWNA3wRacBiWyHZuPkb3wL4T0SOWF06f3RExMJ+zZc85seaTk4qWHUFY2H2vXxsvmN1jSiEnCaVCihmHzMbIHziSQSdZe0Ws0WixYsNv4zAMAT08BWq3IaVAiB2PzMWooBglkkjVX9O3avmNRToJGUxsdcBqUyPHYfIwagp/EZJK58khbpaTcxGlQIiIXx5kEMslUAlR9ggAEKFri6tVqs+dNSIjCihUxnAYlInJhDBLILCkB6h//+AaFhRVG9xNFmA0Q6uYccBqUiMi1MUggiyQmdkNFRQ1mzsxu8LmYc0BE5B74SU0Wq59DYIvU1CHMOSAichMMEshi9khi7No1yH4DIiIih2KQQBaTkhgB6xoj1cUmSURE7oNBgovRaLTIzT2DjIyjyM09A41G29hD0mOsi5slOnZkkyQiInfCxEUXolIdk1lgSYH09JEudR8/MbEbxo+/AeHh76K82Hy5o4QJi0RE7oWf2C5CpTqGpKRNBuskqNVlSEraBJXqmNPHZGpWY8+ecygqqrToPJ6eAjZsmOBSgQ4REZnHmQQXoNFokZy80+h6B4IAJCfvxOjRnZx2JZ6VdQILFuyGWv130BIersBLLw1HQkIU8vP/tPhcGRnjkZTU3RHDJCIiB3JYkLBz506sWbMGe/bswdmzZxEYGIibb74ZixcvxsCBA3X7zZo1Cx9//LHB8d27d8dvv/3mqOG5lLy8ArMrLRYUlKF16zedOCpDanUZ7r7buj4JS5cOwZ13MkAgInJHDgsS3nnnHRQXFyM5ORm9evVCYWEhXnnlFQwePBjbtm3DyJEjdfv6+vpi586desf7+vo6amgux9qVFt2FUqnAokWDG3sYRERkI4cFCW+99Rbatm2rt23cuHGIiorCCy+8oBckeHh4YPDg5vtlYmlZYHZ2IoYPd2x1wO7dBYiPVzXoHFJ5ZHr6SCYqEhG5MYcFCfUDBABQKBTo1asXzp4966indUtSkyK1ukw2L0Fa7yAuLtLhX7qXL19v8DmUygCkpcWaTVTUaLRc4ImIyIU5NXHxzz//xIEDB/RmEQCgoqIC7du3R2FhITp06IBJkybh2WefRXBwsDOH12hMrbQoXZU7q3zQ2mZHdZsqffTROLSLaGPRl727lHsSETVnTg0SHnnkEZSXl2PRokW6bf3790f//v3Rp08fAMCuXbvw2muvYceOHdi3bx8UioavF+AOpCZFhl+cll2V24u5WY366u5z553d4eHnZ/YYqdyz/vmlcs/MzIkMFBoRZ3iISOK0IOGZZ57B2rVr8cYbb+hVNzz22GN6+40ZMwY33ngjkpKS8P777xs83pQlJnZDQkJUo35Am5rVMKf8WhU8RNN/UhqNFvPnmy73TEnJQUJCFL+YGgFneIioLqcECUuXLsWyZcvw/PPP49FHHzW7/+TJk+Hv74+9e/c6YXSuxdPTAzExnRp1DMZmNcxp1/YdVIgtG/TcogicPXsVeXkFjf4+NDec4SGi+hweJCxduhSpqalITU3FU089ZfFxoijCw4NXks5Uf5r55Mm5yMtTY+rUTSgpkU9obMiKkKbk5/+JQYOqHHNyMsAZHiKS49Ag4bnnnkNqaiqefvppLFmyxOLjMjMzce3atWZdFulspqaZ339/LJKSNgGQT6p0hDlztmHOnG2OewKyCmd4iJonhwUJr7zyChYvXoxx48bhjjvuMLh1MHjwYJw+fRozZszAtGnTEBUVBUEQsGvXLqSlpaF3796YO3euo4ZHdVgyzWwsqTL9pduA1E+cPGJqLE218RcRyXNYkPDVV18BALZu3YqtW7caPC6KIlq1aoV27drh1VdfxcWLF6HRaBAREYH58+fjqaeegr+/deV4ZD1L1404cmQWjhyZhe++O4cLF8rRvr0/hg4Ng1BViYLU2v0vXnoIHr5/VzcYW//hzju7IT39gO45JNLMxJo18UhIiLL3SyUTLG2iZW2JLBG5N0EUrclfdx1KpRJqtRrh4eEoKCho7OG4rdzcM4iNXW/z8b5CNX7sVjuT0P3Aj7oSSGOzE1Ig8K9/3YyMjN8MZybSnVfuSX/TaLSIjFxptqFXfv485iQQNQGWfofy//Zmzp7Tx+XXqlBeXoUrVypNJsEBwIcf/gKtVlvvMa3hAeQUUukrYJhr4uyGXkTkOrhUdDPX0HUjtBXXUDCsdibB0hJIUQSKiysNtp87V85Su0bkKg29iMh1MEho5ixZNyI8PABeXh7YtOmkQYMnrVBjt7Gw1K7xuUJDLyJyHQwSmjlz60aIIlBRUY3RozN12x3ZgY+ldo3PFRp6EZFr4OUB6aaZw8P118kIDvYBYHhr4O/SyN+xO88xSaMstSMianwMEghAbaBw6tQDyMmZinXr7sC3394JHx9P2X1FsfZn2rTNiL/9C932sDAF1q6NR1nZfKxdGw9BsL3hEkvtiIgaH4ME0pGmmadP7wlPTwFqtemreY1GP4nh/PkyzJyZja+/zkdYmALJyTchJMRXbx+lMgBt2vgYDR4EAejYMQDR0YZJkkRE5FzMSSBZtkz3151hqBtAhIT4YObMXkhIiEJ0tBJZWSeM5kAALLUjInIV/CQmWQ2Z7q8/w1BcXIn09AMoKamEp6eH0RwIpTKA5Y9ERC6EMwkky1xppDXkShtZakdE5Pr4iUyyTHXgs0Xd0sa6zyHlQMTEdGKAQETkYvipTEYZuy3g6Wl71MDSxuZHo9EiN/cMMjKOIjf3DDQatt8mche83UAmyd0WKCyswF13fWXTbQiWNjYvKtUxmTbPjmvGRUT2xSCBzJLrwHf0aDGWLNlj8TmkVQRZ2th8GFsJ9O9mXExSJXJ1DBLIJl27Blm1vygCU6Z0RWWl/dZ6INel0WhNrgTKNTqI3AODBLKJLbcN0tIOIC3tgANGQ+6Ga3QQuQeG8GQTqUTSHpUP1HwxkZXItXEmgWwilUjec+cX5neuJzs7EcOHMzehKdu9uwDx8Sqz+zGRlci1MUggi2k0Wr0qh4SEKKxZeweQ+olV57l8+Tr8/b0cNEpyBXFxkSabcTGRlcg98HYDWUSlOobIyJWIjV2PGTO2IDZ2PSIjV+rt88gjAyw6V9u2fg4YIbkSU824uEYHkfvg/6FkllTKVrfWHagtZZt59xbdv99665CFZzS8tGTDnaaHa3QQuT/ebiCTNBotkpONl7LBhsTFS5cq9P7NhjtNF9foIHJv/D+VTMrLKzCYQairbvCgUiVYdM66yWqmZimSkjZBpTpm3YDJ5XCNDiL3xf9bySRrStQG39YB4eHGyyIFAQgPV6CsrBoffXQYmzefxD//aWKWArUNd3jrgYiocfB2A5lkTYlaWId3USG2NPq4KNbOEEyYsNGi87HhDhFR4+JMAplkrmmSM5opseEOEVHj4EwCmSSVsiUlbZJ9vO6tgvz8eRB8fQHUJjzu3XseFy9eQ2ioLx59dAcuXLhm0xjYcIeIqHEwSCCzEhO74V//uhkvv7zf5H6dO79v8naDtdhwh4iocfF2A5ml0WiRkfGbU5+TDXeIiBofZxLILHNlkBKVKgHRY6IMtlvax78upTIAaWmx7JNARNSIGCSQWZYmDl68aLifRqOFRiMiKMgbpaXXTR4fEuKDtLSRCA9XsOEOEZELYJBAZlmaOPjQQ99i1j922fw8RUWVCA9XsNyRiMhF8FKNzDJXBmlPLHckInIdDBLIrLor+pmSnz8PFy8+hHPnHrS5bJHljkREroO3G8gilpRBNqQEkuWORESuhzMJZBFHl0GKIssdiYhcDT+RySKWlkFmZyciOzvRCSMiIiJHY5BAAGpnCnJzzyAj4yhyc88YrLxoaULhhQvlGDo0zORqkHIEgSs+EhG5GuYkEFSqY0hO3qk3U6BUKpCePlLXzMjShMI5c7ZhzpxtVo+BKz4SEbkeziQ0cyrVMSQlbTK4laBWlyEpaRNUqmMAnFcGyRJIIiLXwSChGdNotEhO3qm3kqNE2pacvBNXrlSisrIGy5cPB2B8eeigIB+sXRuPsrL5up8//3wU2dmJWLBgkEVjYgkkEZHr4O2GZsxcMqIoAgUFZWjd+k2Lznf5ciVmzsxGZuZEvTUXbr/9BsTFRWLduqNQq8tkgxKWQBIRuR7OJDRj9p7al7785RIQ6zZkqj8TwRUfiYhcEz+RmzFLp/azsxNRVjYfa9fGm923bgJifYmJ3ZCZORHh4Qq97UplgMHsAxERNT7ebmjGpGREc7cA4uIiAQBPPrnb4nOfP18OjUaLvLwCnD9fjg4d/BEdrURiYjckJEQZbOcMAhGR63GJT+aysjKkpKQgLCwMPj4+GDBgAD777LPGHlaTZ80tAEubKUmOHy9FZORKxMaux4wZWxAbux6RkSuhUh2Dp6cHYmI6Yfr0noiJ6cQAgYjIRbnEp3NiYiI+/vhjLFmyBF9//TUGDRqE6dOnY926dY09tCbP0lsA1uQvKBQtsWTJHrNllURE5Noa/XZDdnY2vvnmG6xbtw7Tp08HAMTGxuL06dP4v//7P9x1113w9PRs5FE2bZbcArCmNLGsrFp2uyj+3VkxISGKMwhERC6u0T+lN27cCIVCgTvvvFNv++zZs3Hu3Dn88MMPjTSy5sXcLQB7NVMyldhIRESupdGDhF9++QU9e/ZEixb6kxr9+vXTPU6Nz1T+gi3YWZGIyPU1epBQXFyM4OBgg+3StuLiYmcPiYwwlr9gC3ZWJCJyfY2ekwAAgolLU1OPkfPVz1/4/edzwMZPLD6enRWJiNxHowcJbdq0kZ0tKCkpAQDZWQZqXFL+AgDktvfDwOX3AgAqRNN/TuysSETkXhr9k7pv3744evQoampq9LYfPnwYANCnT5/GGBZZKHp4R7QJD0IlWgIwPevDzopERO6l0YOEyZMno6ysDF988YXe9o8//hhhYWG49dZbG2lkZAlLEhpTUm5CTs5U5OfPY4BARORGGv12w+23344xY8bgoYcewpUrVxAVFYWMjAxs3boVa9asYY8ENyAlNCYn79RroNSxYwDS0mIZGBARualGDxIAQKVSYdGiRVi8eDFKSkrQo0cPZGRkYNq0aY09NLIQ12QgImp6BFGUW9rH9SmVSqjVaoSHh6OggI15iIiILGXpdygv84iIiEgWgwQiIiKSxSCBiIiIZDFIICIiIlkMEoiIiEgWgwQiIiKSxSCBiIiIZDFIICIiIlkMEoiIiEgWgwQiIiKSxSCBiIiIZDFIICIiIlkMEoiIiEiW264C6eXlherqanh4eKBDhw6NPRwiIiK3cf78eWi1WrRs2RJVVVVG93PbIMHT0xNarbaxh0FEROS2PDw8oNFojD7ewoljsSsfHx9UVlbC09MTbdu2bezhEBERuY1Lly5Bo9HAx8fH5H5uO5NAREREjsXERSIiIpLFIIGIiIhkMUiwQllZGVJSUhAWFgYfHx8MGDAAn332mUXHFhQUICUlBSNGjEBgYCAEQcDq1asdO+AGasjrvXTpEmbNmoWQkBD4+fnhtttuw44dOxw8Ysex9b1wx9+7Kba+DyqVCtOnT0dUVBR8fX0RGRmJu+++G8ePH3fCqB3D1vfi22+/xZgxYxAWFgZvb2+0bdsWI0eORHZ2thNGbX8N+Zyo6+mnn4YgCOjTp48DRul4tr4Pq1evhiAIsj8XLlxwwsjNEMliY8aMEQMDA8V3331X3Llzpzh37lwRgLh27Vqzx+bk5IghISHi6NGjxenTp4sAxI8++sjxg24AW19vZWWl2KdPH1GpVIpr1qwRt2/fLiYkJIgtWrQQc3NznTR6+7L1vXDH37sptr4Pt9xyizhx4kTxww8/FHNzc8VPP/1U7Nmzp6hQKMRffvnFSaO3L1vfi88++0xMTk4WP/vsMzE3N1dUqVRiXFycCED89NNPnTR6+2nI56Lk4MGDore3t9iuXTuxd+/eDhyt49j6Pnz00Ue6z4Xvv/9e76eqqspJozeOQYKFtmzZIgIQ161bp7d9zJgxYlhYmFhTU2PyeI1Go/vvffv2ufyXRUNe71tvvSUCEPfs2aPbVl1dLfbq1Uu85ZZbHDZmR2nIe+Fuv3dTGvI+XLx40WCbWq0WW7ZsKd5///12H6ujNfTzoL6qqioxPDxcjI6OtucwHc4e70N1dbU4YMAAcf78+eKIESPcMkhoyPsgBQn79u1z9DBtwtsNFtq4cSMUCgXuvPNOve2zZ8/GuXPn8MMPP5g83sPDvd7qhrzejRs3onv37rjtttt021q0aIGZM2fif//7H9RqtcPG7QgNeS/c7fduSkPeB7ky5bCwMCiVSpw9e9buY3W0hn4e1NeyZUsEBgaiRQv3qkq3x/vw4osvoqSkBM8//7yjhulw9v57cCVN5xPMwX755Rf07NnT4H/ifv366R5vShryen/55RfdfnLHHjlyxI4jdbzm9rs3xt7vwx9//IHTp0+jd+/edhujs9jjvdBqtaipqcG5c+ewZMkSHDt2DE888YRDxusoDX0ffv31VyxbtgzvvPMOFAqFw8bpaPb4exg/fjw8PT0RHByMxMREl/lcYZBgoeLiYgQHBxtsl7YVFxc7e0gO1ZDX29Teq6b2emxlz/ehpqYG999/PxQKBR577DG7jdFZ7PFexMfHo2XLlggPD0daWho+//xz3HHHHXYfqyM15H3QarWYM2cOEhMTER8f77AxOkND3of27dtj0aJF+OCDD5CTk4PnnnsO+/btw+DBg/HTTz85bMyWcq+5LTvJzc1FbGysRfsePHgQAwYMAAAIgmB0P1OPuauGvN6m9l41tddjK3u8D6Io4v7770deXh6++OILdOzY0V7Dc6qGvhdvvPEGLl++jPPnz2PNmjW466678PHHH2P69On2HKbD2fo+vPrqqzh+/Dg2bdrkiGE5na3vw7hx4zBu3Djdv4cPH4477rgDffv2xeLFi5GVlWXXcVqrWQYJ3bt3x/vvv2/Rvp06dQIAtGnTRjYaLCkpAQDZKNKdNeT1NrX3qqm9HlvZ430QRRFz587FmjVr8PHHHyMhIcHu43QGe7wXXbt21f33xIkTcfvtt+ORRx7BXXfd5Ta5LLa+D2fOnMHixYvx4osvwsvLC5cvXwZQO8Ok1Wpx+fJleHt7w9fX12Fjtyd7f0ZERkZi2LBh2Lt3r13G1xDNMkjo0KED5s6da9Uxffv2RUZGBmpqavTuOx0+fBgA3La215iGvN6+ffvq9qvLXd+r5va7N6ah74MUIHz00UdYtWoVZs6c6dDxOpIj/iZuueUWbN26FYWFhWjXrp3dxupItr4Pf/zxByoqKpCcnIzk5GSDx4OCgpCcnIy0tDSHjNveHPH3IIqiawSLjVtc4T6ys7NFAOJnn32mt33cuHFWlzy5QylcQ17v22+/LQIQ9+7dq9tWXV0t9u7dW7z11lsdNmZHsdfv3h1+76Y05H3QarXi/fffLwqCIK5cudLRQ3U4e34eiGLt+zNixAgxMDBQrK6utudQHcrW96G0tFTMyckx+Onfv78YGRkp5uTkiMePH3fGS7ALe/89/PHHH6JCoRAnTZpkz2HahEGCFcaMGSMGBQWJK1euFHfu3CnOmzdPBCCuWbNGb785c+aInp6e4qlTp/S2b9iwQdywYYO4fPlyEYD4yCOP6La5Ikter9xrraysFHv37i127NhRXLt2rfjNN9+IkydPdvtmSra8F6Lofr93U2x9Hx599FERgDhnzhyDhjEHDhxojJfSYLa+FxMnThSfeeYZ8YsvvhBzc3PFdevW6ZopvfXWW43xUhqkIf9v1OeufRJE0fb3YdSoUeLSpUvFjRs3ijt27BDT0tLEsLAwMSAgQDx8+HBjvBQ9DBKscPXqVXH+/Pli+/btRS8vL7Ffv35iRkaGwX733XefCEDMz8/X2w7A6I8rsuT1GnutFy5cEO+9914xODhY9PHxEQcPHix+8803Thy9fTXkvXC337sptr4PERERRt+DiIgI574IO7H1vVi+fLk4aNAgMSgoSPT09BTbtGkjjh07Vty8ebOTX4F9NOT/jfrcOUiw9X1ISUkRe/XqJQYEBIgtWrQQw8LCxJkzZ4q///67k1+BPC4VTURERLJcICuCiIiIXBGDBCIiIpLFIIGIiIhkMUggIiIiWQwSiIiISBaDBCIiIpLFIIGIiIhkMUggIiIiWQwSiIiISBaDBCIiIpLFIIGIiIhkMUggIiIiWf8P6Jln1pCUR2kAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plot loaded files\n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_3c_place_field_pos.pkl', 'rb')\n", + "nontarget_assembly_place_pos = pickle.load(fileObj)\n", + "fileObj.close()\n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_3c_place_field_spikes.pkl', 'rb')\n", + "nontarget_assembly_place_spike = pickle.load(fileObj)\n", + "fileObj.close()\n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_3c_stem.pkl', 'rb')\n", + "nontarget_stem = pickle.load(fileObj)\n", + "fileObj.close()\n", + "\n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_3b_place_field_pos.pkl', 'rb')\n", + "target_assembly_place_pos = pickle.load(fileObj)\n", + "fileObj.close()\n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_3b_place_field_spikes.pkl', 'rb')\n", + "target_assembly_place_spike = pickle.load(fileObj)\n", + "fileObj.close()\n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_3b_stem.pkl', 'rb')\n", + "target_stem = pickle.load(fileObj)\n", + "fileObj.close()\n", + "\n", + "# nontarget assembly place field\n", + "fig = plt.figure(figsize=(6,6),linewidth=2)\n", + "ax = fig.gca()\n", + "ax.plot(nontarget_assembly_place_pos,nontarget_assembly_place_spike,color='peru',linewidth=2)\n", + "ax.set_title('nontarget assembly place field')\n", + "ax.set_ylim(-5,75)\n", + "for axis in ['top', 'bottom', 'left', 'right']:\n", + " ax.spines[axis].set_linewidth(2) # change width \n", + "#plt.show()\n", + " \n", + "# nontarget assembly stem plot\n", + "fig = plt.figure(figsize=(6,6),linewidth=2)\n", + "ax = fig.gca()\n", + "ax.stem(np.arange(nontarget_stem.shape[0]), nontarget_stem, linefmt='peru', markerfmt=None, \n", + " basefmt=None,orientation='horizontal')\n", + "ax.set_xlim(-0.15,0.55)\n", + "ax.set_title('nontarget assembly stem') \n", + "for axis in ['top', 'bottom', 'left', 'right']:\n", + " ax.spines[axis].set_linewidth(2) # change width \n", + "#plt.show()\n", + "\n", + "# target assembly place field\n", + "fig = plt.figure(figsize=(6,6),linewidth=2)\n", + "ax = fig.gca()\n", + "ax.plot(target_assembly_place_pos,target_assembly_place_spike,color='darkblue',linewidth=2)\n", + "ax.set_title('target assembly place field')\n", + "ax.set_ylim(-5,75)\n", + "for axis in ['top', 'bottom', 'left', 'right']:\n", + " ax.spines[axis].set_linewidth(2) # change width \n", + "#plt.show()\n", + " \n", + "# target assembly stem plot\n", + "fig = plt.figure(figsize=(6,6),linewidth=2)\n", + "ax = fig.gca()\n", + "ax.stem(np.arange(target_stem.shape[0]), target_stem, linefmt='darkblue', markerfmt=None, \n", + " basefmt=None,orientation='horizontal')\n", + "ax.set_xlim(-0.15,0.55)\n", + "ax.set_title('target assembly stem') \n", + "for axis in ['top', 'bottom', 'left', 'right']:\n", + " ax.spines[axis].set_linewidth(2) # change width \n", + "#plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3e76f45e", + "metadata": {}, + "outputs": [], + "source": [ + "# Figure 6D and 6F - assembly activity times" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "486a3f6f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plot assembly times\n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/figure_cell_assembly_plot.pkl', 'rb')\n", + "assembly_plot_dict = pickle.load(fileObj)\n", + "fileObj.close()\n", + "\n", + "assembly_0_plot_x = assembly_plot_dict['assem_0_x']\n", + "assembly_0_plot_y = assembly_plot_dict['assem_0_y']\n", + "assembly_1_plot_x = assembly_plot_dict['assem_1_x']\n", + "assembly_1_plot_y = assembly_plot_dict['assem_1_y']\n", + "assembly_7_plot_x = assembly_plot_dict['assem_7_x']\n", + "assembly_7_plot_y = assembly_plot_dict['assem_7_y']\n", + "assembly_21_plot_x = assembly_plot_dict['assem_21_x']\n", + "assembly_21_plot_y = assembly_plot_dict['assem_21_y']\n", + "reward_times_plot = assembly_plot_dict['reward_times']\n", + "target_times_plot = assembly_plot_dict['target_times']\n", + "\n", + "# reward: 900-1000, remote content: 935-965\n", + "start_time = 1636330955.311\n", + "first_time = 900\n", + "last_time = 1000\n", + "fig = plt.figure(figsize=(10,4),linewidth=2)\n", + "ax = fig.gca()\n", + "ax.scatter(assembly_0_plot_x-0.3,\n", + " assembly_0_plot_y,marker='d',s=20,color='cyan')\n", + "ax.scatter(assembly_1_plot_x-0.1,\n", + " assembly_1_plot_y,marker='d',s=20,color='darkblue')\n", + "ax.scatter(assembly_7_plot_x+0.1,\n", + " assembly_7_plot_y,marker='d',s=20,color='skyblue')\n", + "ax.scatter(assembly_21_plot_x+0.3,\n", + " assembly_21_plot_y,marker='d',s=20,color='blue')\n", + "\n", + "# gray lines: either reward times or arm_end times\n", + "for reward_time in np.arange(reward_times_plot.shape[0]):\n", + " ax.vlines(np.array(reward_times_plot)[reward_time],0,400,\n", + " color='k',linewidth=0.5,alpha=0.5)\n", + "ax.set_xlim(start_time+first_time,start_time+last_time)\n", + "#plt.xlim(start_time+100,end_time)\n", + "ax.set_ylim(-5,400)\n", + "ax.set_title('reward assemblies 100sec')\n", + "for axis in ['top', 'bottom', 'left', 'right']:\n", + " ax.spines[axis].set_linewidth(2) # change width \n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.spines['bottom'].set_color('black')\n", + "ax.spines['left'].set_color('black')\n", + "\n", + "filename = ('/cumulus/mcoulter/content_figures/plot_pdf/figure_3d_.pdf')\n", + "#plt.savefig(filename, format=\"pdf\")\n", + "\n", + "first_time = 935\n", + "last_time = 965\n", + "fig = plt.figure(figsize=(10,4),linewidth=2)\n", + "ax = fig.gca()\n", + "ax.scatter(assembly_0_plot_x-0.3,\n", + " assembly_0_plot_y,marker='d',s=20,color='cyan')\n", + "ax.scatter(assembly_1_plot_x-0.1,\n", + " assembly_1_plot_y,marker='d',s=20,color='darkblue')\n", + "ax.scatter(assembly_7_plot_x+0.1,\n", + " assembly_7_plot_y,marker='d',s=20,color='skyblue')\n", + "ax.scatter(assembly_21_plot_x+0.3,\n", + " assembly_21_plot_y,marker='d',s=20,color='blue')\n", + "\n", + "# gray lines: either reward times or arm_end times\n", + "no_overlap_bins = target_times_plot[1:][np.diff(target_times_plot)>0.03]\n", + "for reward_time in np.arange(no_overlap_bins.shape[0]):\n", + " ax.vlines(np.array(no_overlap_bins)[reward_time],0,400,\n", + " color='k',linewidth=0.5,alpha=0.5)\n", + "ax.set_xlim(start_time+first_time,start_time+last_time)\n", + "#plt.xlim(start_time+100,end_time)\n", + "ax.set_ylim(-5,400)\n", + "ax.set_title('reward assemblies inset')\n", + "for axis in ['top', 'bottom', 'left', 'right']:\n", + " ax.spines[axis].set_linewidth(2) # change width \n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.spines['bottom'].set_color('black')\n", + "ax.spines['left'].set_color('black')\n", + "#ax.tick_params(direction='out', length=10, width=2, colors='k')\n", + "#plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "74051d91", + "metadata": {}, + "outputs": [], + "source": [ + "# Figure 6E - assembly activity at reward time" + ] + }, + { + "cell_type": "code", + "execution_count": 400, + "id": "20e6b037", + "metadata": {}, + "outputs": [], + "source": [ + "# ***load list from pickle***\n", + "import pickle\n", + "# data for reward times only\n", + "file_name = '/stelmo/mcoulter/coulter_all_figures/all_rats_reward_times_cell_assem.pkl'\n", + "\n", + "file = open(file_name,'rb')\n", + "all_rat_list = pickle.load(file)\n", + "file.close()\n", + "\n", + "ron_no_reward = all_rat_list[0]\n", + "ron_no_random = all_rat_list[1]\n", + "ron_non_no_reward = all_rat_list[2]\n", + "ron_non_no_random = all_rat_list[3]\n", + "\n", + "tonks_no_reward = all_rat_list[4]\n", + "tonks_no_random = all_rat_list[5] \n", + "tonks_non_no_reward = all_rat_list[6]\n", + "tonks_non_no_random = all_rat_list[7]\n", + "\n", + "ginny_no_reward = all_rat_list[8]\n", + "ginny_no_random = all_rat_list[9] \n", + "ginny_non_no_reward = all_rat_list[10]\n", + "ginny_non_no_random = all_rat_list[11]\n", + "\n", + "molly_no_reward = all_rat_list[12]\n", + "molly_no_random = all_rat_list[13] \n", + "molly_non_no_reward = all_rat_list[14]\n", + "molly_non_no_random = all_rat_list[15] \n", + "\n", + "arthur_no_reward = all_rat_list[16]\n", + "arthur_no_random = all_rat_list[17] \n", + "arthur_non_no_reward = all_rat_list[18]\n", + "arthur_non_no_random = all_rat_list[19] \n", + "\n", + "pippin_no_reward = all_rat_list[20]\n", + "pippin_no_random = all_rat_list[21] \n", + "pippin_non_no_reward = all_rat_list[22]\n", + "pippin_non_no_random = all_rat_list[23]\n" + ] + }, + { + "cell_type": "code", + "execution_count": 381, + "id": "8eecd820", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "10-Dec-24 17:58:12 Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n", + "10-Dec-24 17:58:12 Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n" + ] + }, + { + "data": { + "image/png": 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Uuqa2v/g7xeUMlxWXoi3//rH8+7zJmDNt/gG3f5Yb9GvbM7epec9m5Z52hbb864dyAq2KSc5RQ8lqpQ0c3RtfCz3kiP7C3nHHHXrjjTe0dOlSXXzxxYdsGwwGdcstt8gwDBUVFemOO+7QjTfeqOeee04jR47Un//8Z5WUlHS2v/vuu1VYWHjIfzoUFxfrvvvu0+9+9ztOFlHOCbSpfOlCSaF5TtOPP1MVq57tHElz6L6t2vP+v5Q8dJJiMgZ12ecG/drz7j/liUuWE2hTw/bVhG9AN7iOo/ptKxWTmqfypf+S3dZ42D52a4P2Ln9SKaNOVcXqRUoeMU3epEztWfKo4geMUnzeaO1+9xH5UnKUMmKaJKm1crtq1r0emh8ZQFhyxpwiw/LIMEw1lq5XXNYQyTRVvnRh57GaOWFWl3Ps4dSsf12tVTuUOWlO5za7tVHlH/xbMiTL6+NBMxAm17Hl2kGVL33soG0yJ14gf0OFYjMGqb5klRp3rgnrs3e/+4gMy1Js5iDZbY1qqdgmmazfAXSX274+x54ljypr0hy11e5W1ZqX92uXNekC1RV/oKZdHyvzxNkKNtdp74qnwvodVR+9LH9DBW94AGEyLI9Mw5JhhgZS1W58W5njZ6nqo5e6BOCG5Tvg9oNxnaB2v/tPxecMlzcpSxUrn1Fc9jCVL1so0/IotYCAvL86okT5lFNOUX5+flhtly5dqh07dui8887TmDFjOrcnJibqmmuuUTAY7DIlyze+8Q29/vrrh/ynw0cffaTq6mqdddZZGjNmjMaMGaPS0lL96le/0gUXXHAkXw39keOoeu2rcvzNkqS0474k0+NT1YeHfgq/r9qN/1GgqUYZJ5yz/75PlijQVKOCs65VxYpnuKkHuiE0D7gRep177eKw+1V//ErnIkZ2W7MyTjhH9VuXq62mTJnjZ6llz2Y1la5XxvhZnX0qVj3L4rlAmAzDlGV51Ly3WPEDRshubZATDMgN+rscqxnjZ6l63eLOc2w4KlY9p7TC02TFJnZuq/r4Vbl2QKZpKWPYiUf1uwDHLNdV9drXZLce+MGyYXmVPvZM1W16V4n5Y1S58tBvd+zLX7tb9cUfyG5rVub4Wdq7/ClJRmhxewCHFZo20C+5rmo2vS3H36y0MaercvULoUXm9xGbNVQJecepctVzkgxlnHBO6O2N9sU4D8t1VLHy2aP+HYBjVc5x00Nr6EiqWPW8UkadEppPfPXzXdodbPuh1G9dJn/9XmVOmKXK1Yskw1DK8JPVUrFNKYTj/VaPpwjLloUmpZ8+ffp++0499dQubSQpOTlZycnJYX32jBkzNHZs13l9vvGNb2jevHmaN2/eQfs9/PDDevjhh8P6HR0qKiq61R69w3UcGZany+ujMal58tftOeR0Kvt9jh1QS/kWxaTm7b/TsdVUtkHxOSPVtM/cjQDC44lNUEvldjn+lrD72K2Naq3aKV9SplortsqXMkByHTXv3ihfaq6k0JzISYM/Ddmad2/uHFFj8DYRokhTS4v+vjD8B8KSlJaRqR+ePFdtNWWKzx4u0/JJhqGWvSWdQbhheuRLzjrMFA0HqKd0gwzLI29SVmeo57Q1qbVqp+JzRqhFsd2ut/OzW1oU6006or5Av2Naaipbd9DdnvhUWb44BZpqJKn7x2rZBiUOHC9faq6al/5bhmGEzqMGI8iBwzEMQ4bXJyl07HkTM2R6fAc8DmM6rl1L18uKTZAnPkVNZd07XpvLNnB9i6hzJNe4kvTT8ee2T6liqal0vZIGT1CwuU5t1bu6tItJzTvg9kNyHTWVrpMvNU+BhgoFGqsVm16gpl1rlZqaxzVuP9Xj4XjHlCmDBw/eb19KSorS0tK0ffv2I/rsAwXpXq9XWVlZB/x9HRobG1VeXt6t38UCGH3bvlOdGKZ1RFOfhBb1PMgh4QRDczEypQrQfYa5z+J94XOdoAzTEzo220eEh362Pt3fZaS4K9e1ZRi83YHo4YlNUKyy1e0jLCZFMiSjY5Ro+w236+7zSR1vSnXzGqhjscDPnlPd9kVzPR6v7CO8+I/1JskTm3BEfYH+JhRWH/zo7nybsT3M7u51qmsHJcNoP9eyqDXQLfs+RHLtzuOxy3m0o2n7+dBtD+ukIzheuQ9FlDnia1xJprXP/aATOj4PfGweePvhuHZQhuUN/dx+r+o6tgwZXOP2Uz0ejjc2hkYMJSUd+P8giYmJ2rPn8HP7HE2JiYnKycnpVp9950VH39ERWMekfTriO9hcI29SlgyPL/xX1STFpOWpccdHB96XPlB2a1OX3wMgPI6/VbGZg0IhuRtmyGZY8qUMUMO2lUoaNlkt5cWSpJi0fPnr93b+3DFaTpK8SVky2y9SgGiQmJgoKfeI+vp8PkmGzNjQ9ZkbDL0aHpOS23msusE22f4W+dK69zti00JT7wWbaz/daFidI+cam1uUM2jEEdXdIfTdgWNb6Br34FNZBlvq5LqOTG+MpNC1bJfj7jBi0vIlx1GwuebT38OgcSAsruOErmsNUzGp+apuDk3/GpOar6adH3dp23G9GpOap+byT+TawQO/sXwI3W0P9Gef5xpXklpaWxWfEAqaY9LyFGiqkScuRVZsYpepyg62/XBiMgbJX1sm0xsrb0KqmnatU0x6gWzX5Rq3nzrmJmd94403Dtvmiiuu0BVXXNGtzy0oKFBpaemRloWeZBjKHD9Le5b8r+Q6qtn4tvJP/47Sjjs9NG9xGBIGjlNsxiDt/L8/7rcvPne04rKGquSF3ypzwnntTwmPuUMH6BGuHVSwpU7ehDQlDztJ9cVLw+qXOuoUeRPS1Fa/VzEpA1Sz4c3QfI35Y1T+wUJ5EzOUMuJk7Vr8l84+mRNmtb8BwshxRIerrrrqc/V3XVdJg8aFHjgZhkyPV2ZiupKHT1X9lvclSTUb3lTGCTM7z7HhyJgwS4271irQ8OmUdCkjpskTnyLHDmrIkCH6wQ9+8LlqB6KCYSpzwiztfucfB3wDy/G3qL74AyUNnih//V5ljD8v7KlVTF+80sacLssXp5oNbylzwvlc4wLdYFoeOUG/DNNU+glnq/StB1VfslKZE2btdw/aVLpe/voKZU6YpR0v/0G1m99R5oRZ2rvs8bB/X+bE2RyjiBqf9xpXCl3nuo6tjAmzVPL8r+Wefb3Sx52jiuVPdrap++S9A24/lLisYUrILVT5+48pbcwZMiyfqj/+Pw2f/1sZhsE1bj/V45NWdTz1aGhoOOD+xsbGg44qB8LiuvKl5Ci18AuSJH9tmeqKP1D2lC9LYU6vkHPSRWqt2qGGklX77cueepGcQJsaSlYp7fgzuCABusO0lDxsigJNNcqZOj/MToayplyoxp0fK3XUqWou36Km0nXKPukr8jdUqnbzu8qaPE9O0K+qta+Gfo0vTpkTLxBD3oDwGYYhyVBr9S4lFoyTv7Fajh1U9klfUcexVLnyOcWkDug8xx5OXNYwJQ+drMqVz+37m5Qzdb4cO8h8qUB3uK68CelKG/1fB21SsfI5JeSNVl3xB0ofO0OehPSwPjpzwnkyPTEKttSrec8nSh4xTS5zjQPdYnp8MgxTntgkpY89S5Urn1PiwHGKzzuua0PXVuXq55V2fOgYrVj5nGIzByt52Elh/Z74vDFKyDuO+1Cgm1xJyUMny5uQptqNbytr0hwZlq9zf7Cp+oDbDyX7pK8o0FSj2i3vK/ukCxVoqFTysCnhvyGNPqnH71CGDBkiSQecV7yurk41NTWHnB8cOBzDtOTatgbPulFxA0ZJkvYseVRxWUM1aOYPQ6+HH8KAUy9VauEXQqNyPiNn2sVKH3O6Kte8ouEX/UYGwRvQLYZhyLS8sv0tShpyovJP/87heqjgzO8qcWBoNGvK8Kna/c4/lDV5rjLHz9Se9/5XaaO/qJyTv6q9yx6X09YkwxOjofNukycumeAN6C7DVNLgCXICrXKDfhmmpeQhEzuP1eY9m1T3yfsaPPPHnefYg/EmZ2vYhXeopWKbaja+1bk9/4yrlTBwnAwZMg5zTgbwqY7pAwfP+vH+YVu7+q3L1FS6XqkjT5Xtb9aI+b+TFXvogUdJQ6co70tXSYahipXPaviFv5Tr2DJ58wroFtex5dhBuY6tgWdd1/6wabOGzbutcwH5DpWrX5Djb9bwr/xKLXu3qKFklYbMvlmxWUMP+Tt8qXkafuEdnet2AAiPYRgyZMi1gxp24R2qWvOyfElZGnLBzV3WxSl//7EDbj+QrMnzlDH+XO1+958afM4PFZs5WHWfvKfsky7k7eV+rsfvUKZMmSJJevfdd/fbt2TJEknSSSeF98Q0EoqKijRz5kxVVlZGuhQcgmFZMjw+FV56j3JO/praqndp+6LfKWPc2Rpx8Z1KHHzifn3iBxRq6JxblffFb6jsrYdUs/7TKXnickZoyOyblX/6d9RSUaKU4ScpLmsIT+uBI2BYHsWk5CjY2qCcaRdr2IW/UkL+8fu1Sxg4TsO/8mtlTZ6nlvJipR9/hvYs/bdSR56qgWddr8oPFyk2faCGXHCLqtcu1u53HlXKqOkq/PpflDxk0mEfhAHYn2EYkitZccnyxKfIbm2Q6zjKmTa/81jd9twv1Vq1Q6Mu+ZNyTv6aPPGpXT7D9MUp88TZKrzsPskwVLzwJ3LtgBIKxmr4V36jnKkXyXXdzsV0AYTPMC0ZpkejLvmTBpx6qTwJaV32mx6fqje8KSsmQYblVUzGQI2+4q9KO35G52JhHbzJ2cr74jc1ov3V74btHypj/Ez5knN4cAUcgVAYFjqPyjA14qt3qWH7arl2UIWX3aesSXNl+uIlhdbh2LLwRsWk5avwsvtVve51+RsqVHjpn5U9db6suOQun23GJChr0lyNvuIBWXHJ3IcCR8AwTckwQ+H3+Tepas0rShlxskYuuLv9zQ1DLXuLte3Z29u3/7Fz+77isoZp8KwbNfCs61Sz8W2ljT5N6ePOVMueLcqadIFcRo33e4bruu7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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# find code for making nice bar graph\n", + "# makes nice bar plot\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patches\n", + "\n", + "sns.set_style(\"ticks\", {'axes.grid' : False})\n", + "\n", + "# either 'remote' or 'reward'\n", + "#load_file = 'reward'\n", + "\n", + "# replace values < 1e-4 with 0.0001\n", + "ron_non_target_array = np.array(ron_non_no_reward)\n", + "ron_non_target_array[ron_non_target_array<1e-4] = 1e-4\n", + "ron_non_no_reward1 = ron_non_target_array.tolist()\n", + "\n", + "pippin_non_target_array = np.array(pippin_non_no_reward)\n", + "pippin_non_target_array[pippin_non_target_array<1e-4] = 1e-4\n", + "pippin_non_no_reward1 = pippin_non_target_array.tolist()\n", + "\n", + "ginny_non_target_array = np.array(ginny_non_no_reward)\n", + "ginny_non_target_array[ginny_non_target_array<1e-4] = 1e-4\n", + "ginny_non_no_reward1 = ginny_non_target_array.tolist()\n", + "\n", + "arthur_non_target_array = np.array(arthur_non_no_reward)\n", + "arthur_non_target_array[arthur_non_target_array<1e-4] = 1e-4\n", + "arthur_non_no_reward1 = arthur_non_target_array.tolist()\n", + "\n", + "molly_non_target_array = np.array(molly_non_no_reward)\n", + "molly_non_target_array[molly_non_target_array<1e-4] = 1e-4\n", + "molly_non_no_reward1 = molly_non_target_array.tolist()\n", + "\n", + "tonks_non_target_array = np.array(tonks_non_no_reward)\n", + "tonks_non_target_array[tonks_non_target_array<1e-4] = 1e-4\n", + "tonks_non_no_reward1 = tonks_non_target_array.tolist()\n", + "\n", + "pippin_head_dir_plot = pippin_no_random.copy()\n", + "pippin_content_plot = pippin_no_reward.copy()\n", + "pippin_non = pippin_non_no_reward1.copy()\n", + " \n", + "tonks_head_dir_plot = tonks_no_random.copy()\n", + "tonks_content_plot = tonks_no_reward.copy()\n", + "tonks_non = tonks_non_no_reward1.copy()\n", + "\n", + "ginny_head_dir_plot = ginny_no_random.copy()\n", + "ginny_content_plot = ginny_no_reward.copy()\n", + "ginny_non = ginny_non_no_reward1.copy()\n", + " \n", + "ron_head_dir_plot = ron_no_random.copy()\n", + "ron_content_plot = ron_no_reward.copy()\n", + "ron_non = ron_non_no_reward1.copy()\n", + " \n", + "molly_head_dir_plot = molly_no_random.copy()\n", + "molly_content_plot = molly_no_reward.copy()\n", + "molly_non = molly_non_no_reward1.copy()\n", + " \n", + "arthur_head_dir_plot = arthur_no_random.copy()\n", + "arthur_content_plot = arthur_no_reward.copy()\n", + "arthur_non = arthur_non_no_reward1.copy()\n", + " \n", + "matplotlib.rcParams.update({'font.size': 20})\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 0\n", + "plt.rcParams['ytick.major.width'] = 2\n", + "\n", + "fig, ax = plt.subplots()\n", + "fig.set_size_inches(18,10)\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.spines['bottom'].set_color('black')\n", + "ax.spines['left'].set_color('black')\n", + "ax.spines['bottom'].set_linewidth(2)\n", + "ax.spines['left'].set_linewidth(2)\n", + "\n", + "\n", + "swarm_ax = sns.stripplot(x=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(1,len(pippin_non)),\n", + " np.repeat(1,len(pippin_content_plot)),\n", + "\n", + " np.repeat(2,len(tonks_head_dir_plot)),\n", + " np.repeat(2,len(tonks_non)),\n", + " np.repeat(2,len(tonks_content_plot)),\n", + "\n", + " np.repeat(3,len(ginny_head_dir_plot)),\n", + " np.repeat(3,len(ginny_non)),\n", + " np.repeat(3,len(ginny_content_plot)),\n", + "\n", + " np.repeat(4,len(ron_head_dir_plot)),\n", + " np.repeat(4,len(ron_non)),\n", + " np.repeat(4,len(ron_content_plot)),\n", + "\n", + " np.repeat(5,len(molly_head_dir_plot)),\n", + " np.repeat(5,len(molly_non)),\n", + " np.repeat(5,len(molly_content_plot)),\n", + "\n", + " np.repeat(6,len(arthur_head_dir_plot)),\n", + " np.repeat(6,len(arthur_non)),\n", + " np.repeat(6,len(arthur_content_plot)),\n", + "\n", + " ]), \n", + " y=np.concatenate([pippin_head_dir_plot,\n", + " pippin_non,\n", + " pippin_content_plot,\n", + "\n", + " tonks_head_dir_plot,\n", + " tonks_non,\n", + " tonks_content_plot,\n", + "\n", + " ginny_head_dir_plot,\n", + " ginny_non,\n", + " ginny_content_plot,\n", + "\n", + " ron_head_dir_plot,\n", + " ron_non,\n", + " ron_content_plot,\n", + "\n", + " molly_head_dir_plot,\n", + " molly_non,\n", + " molly_content_plot,\n", + "\n", + " arthur_head_dir_plot,\n", + " arthur_non,\n", + " arthur_content_plot,\n", + " ]), \n", + " hue=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(2,len(pippin_non)),\n", + " np.repeat(4,len(pippin_content_plot)),\n", + "\n", + " np.repeat(1,len(tonks_head_dir_plot)),\n", + " np.repeat(2,len(tonks_non)),\n", + " np.repeat(4,len(tonks_content_plot)),\n", + "\n", + " np.repeat(1,len(ginny_head_dir_plot)),\n", + " np.repeat(2,len(ginny_non)),\n", + " np.repeat(4,len(ginny_content_plot)),\n", + "\n", + " np.repeat(1,len(ron_head_dir_plot)),\n", + " np.repeat(2,len(ron_non)),\n", + " np.repeat(4,len(ron_content_plot)),\n", + "\n", + " np.repeat(1,len(molly_head_dir_plot)),\n", + " np.repeat(2,len(molly_non)),\n", + " np.repeat(4,len(molly_content_plot)),\n", + "\n", + " np.repeat(1,len(arthur_head_dir_plot)),\n", + " np.repeat(2,len(arthur_non)),\n", + " np.repeat(4,len(arthur_content_plot)),\n", + "\n", + " ]), \n", + " palette=['black','peru','blue',], \n", + " alpha=1,zorder=1,size=10,\n", + " edgecolor='white',linewidth=1,dodge=True)\n", + "\n", + "t_ax = sns.boxplot(x=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(1,len(pippin_non)),\n", + " np.repeat(1,len(pippin_content_plot)),\n", + " \n", + " np.repeat(2,len(tonks_head_dir_plot)),\n", + " np.repeat(2,len(tonks_non)),\n", + " np.repeat(2,len(tonks_content_plot)),\n", + " \n", + " np.repeat(3,len(ginny_head_dir_plot)),\n", + " np.repeat(3,len(ginny_non)),\n", + " np.repeat(3,len(ginny_content_plot)),\n", + " \n", + " np.repeat(4,len(ron_head_dir_plot)),\n", + " np.repeat(4,len(ron_non)),\n", + " np.repeat(4,len(ron_content_plot)),\n", + " \n", + " np.repeat(5,len(molly_head_dir_plot)),\n", + " np.repeat(5,len(molly_non)),\n", + " np.repeat(5,len(molly_content_plot)),\n", + " \n", + " np.repeat(6,len(arthur_head_dir_plot)),\n", + " np.repeat(6,len(arthur_non)),\n", + " np.repeat(6,len(arthur_content_plot)),\n", + " ]), \n", + " y=np.concatenate([pippin_head_dir_plot,\n", + " pippin_non,\n", + " pippin_content_plot,\n", + " \n", + " tonks_head_dir_plot,\n", + " tonks_non,\n", + " tonks_content_plot,\n", + " \n", + " ginny_head_dir_plot,\n", + " ginny_non,\n", + " ginny_content_plot,\n", + " \n", + " ron_head_dir_plot,\n", + " ron_non,\n", + " ron_content_plot,\n", + " \n", + " molly_head_dir_plot,\n", + " molly_non,\n", + " molly_content_plot,\n", + " \n", + " arthur_head_dir_plot,\n", + " arthur_non,\n", + " arthur_content_plot,\n", + " ]), \n", + " hue = np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(2,len(pippin_non)),\n", + " np.repeat(4,len(pippin_content_plot)),\n", + " \n", + " np.repeat(1,len(tonks_head_dir_plot)),\n", + " np.repeat(2,len(tonks_non)),\n", + " np.repeat(4,len(tonks_content_plot)),\n", + " \n", + " np.repeat(1,len(ginny_head_dir_plot)),\n", + " np.repeat(2,len(ginny_non)),\n", + " np.repeat(4,len(ginny_content_plot)),\n", + " \n", + " np.repeat(1,len(ron_head_dir_plot)),\n", + " np.repeat(2,len(ron_non)),\n", + " np.repeat(4,len(ron_content_plot)),\n", + " \n", + " np.repeat(1,len(molly_head_dir_plot)),\n", + " np.repeat(2,len(molly_non)),\n", + " np.repeat(4,len(molly_content_plot)),\n", + " \n", + " np.repeat(1,len(arthur_head_dir_plot)),\n", + " np.repeat(2,len(arthur_non)),\n", + " np.repeat(4,len(arthur_content_plot)),\n", + " ]),\n", + " #capsize=0.1,errcolor='black',\n", + " linewidth=2, #facecolor=(1, 1, 1, 0),\n", + " palette=['black','peru','blue',],\n", + " zorder=2,showfliers=False,showcaps=False,whis=0)\n", + "\n", + "for patch in t_ax.patches:\n", + " patch.set_alpha(0.5)\n", + " \n", + "ax.get_legend().remove()\n", + "\n", + "plt.yscale('log')\n", + "#plt.ylim(-0.2,0.001)\n", + "\n", + "# save figures\n", + "#if load_file == 'reward':\n", + "# plt.title('All rats: arm assembly activity at reward times')\n", + "# filename = ('/cumulus/mcoulter/content_figures/plot_pdf/figure_3e_.pdf')\n", + "# plt.savefig(filename, format=\"pdf\")\n", + "#elif load_file == 'remote':\n", + "# plt.title('All rats: arm assembly activity at remote times')\n", + "# filename = ('/cumulus/mcoulter/content_figures/plot_pdf/figure_3g_.pdf')\n", + "# plt.savefig(filename, format=\"pdf\") " + ] + }, + { + "cell_type": "code", + "execution_count": 401, + "id": "009ded54", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ron\n", + "ron reward vs non-reward MannwhitneyuResult(statistic=28831.0, pvalue=2.289884322818765e-22)\n", + "ron reward vs random MannwhitneyuResult(statistic=3086.0, pvalue=1.234373155729894e-16)\n", + "tonks\n", + "tonks reward vs non-reward MannwhitneyuResult(statistic=81211.0, pvalue=5.0615492577777075e-53)\n", + "tonks reward vs random MannwhitneyuResult(statistic=14872.0, pvalue=4.295045254886639e-33)\n", + "ginny\n", + "ginny reward vs non-reward MannwhitneyuResult(statistic=38700.0, pvalue=4.29733389722706e-32)\n", + "ginny reward vs random MannwhitneyuResult(statistic=6037.0, pvalue=2.658772395332069e-20)\n", + "pippin\n", + "pippin reward vs non-reward MannwhitneyuResult(statistic=553.0, pvalue=2.777745469832024e-07)\n", + "pippin reward vs random MannwhitneyuResult(statistic=64.0, pvalue=0.0001554001554001554)\n", + "molly\n", + "molly reward vs non-reward MannwhitneyuResult(statistic=44125.0, pvalue=1.8446829060137283e-32)\n", + "molly reward vs random MannwhitneyuResult(statistic=6684.0, pvalue=1.0596368513567136e-21)\n", + "arthur\n", + "arthur reward vs non-reward MannwhitneyuResult(statistic=38327.0, pvalue=6.965159500001063e-27)\n", + "arthur reward vs random MannwhitneyuResult(statistic=2751.0, pvalue=1.8179167879049593e-17)\n" + ] + } + ], + "source": [ + "# mann whitney test - reward time removed\n", + "import scipy\n", + "\n", + "print('ron')\n", + "print('ron reward vs non-reward',scipy.stats.mannwhitneyu(ron_no_reward, ron_non_no_reward))\n", + "print('ron reward vs random',scipy.stats.mannwhitneyu(ron_no_reward, ron_no_random))\n", + "print('tonks')\n", + "print('tonks reward vs non-reward',scipy.stats.mannwhitneyu(tonks_no_reward, tonks_non_no_reward))\n", + "print('tonks reward vs random',scipy.stats.mannwhitneyu(tonks_no_reward, tonks_no_random))\n", + "print('ginny')\n", + "print('ginny reward vs non-reward',scipy.stats.mannwhitneyu(ginny_no_reward, ginny_non_no_reward))\n", + "print('ginny reward vs random',scipy.stats.mannwhitneyu(ginny_no_reward, ginny_no_random))\n", + "print('pippin')\n", + "print('pippin reward vs non-reward',scipy.stats.mannwhitneyu(pippin_no_reward, pippin_non_no_reward))\n", + "print('pippin reward vs random',scipy.stats.mannwhitneyu(pippin_no_reward, pippin_no_random))\n", + "print('molly')\n", + "print('molly reward vs non-reward',scipy.stats.mannwhitneyu(molly_no_reward, molly_non_no_reward))\n", + "print('molly reward vs random',scipy.stats.mannwhitneyu(molly_no_reward, molly_no_random))\n", + "print('arthur')\n", + "print('arthur reward vs non-reward',scipy.stats.mannwhitneyu(arthur_no_reward, arthur_non_no_reward))\n", + "print('arthur reward vs random',scipy.stats.mannwhitneyu(arthur_no_reward, arthur_no_random))" + ] + }, + { + "cell_type": "code", + "execution_count": 379, + "id": "6bde0c10", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Mixed Linear Model Regression Results\n", + "================================================================\n", + "Model: MixedLM Dependent Variable: arm_representation\n", + "No. Observations: 3618 Method: REML \n", + "No. Groups: 6 Scale: 0.6940 \n", + "Min. group size: 80 Log-Likelihood: -4483.6488 \n", + "Max. group size: 822 Converged: Yes \n", + "Mean group size: 603.0 \n", + "-----------------------------------------------------------------\n", + " Coef. Std.Err. z P>|z| [0.025 0.975]\n", + "-----------------------------------------------------------------\n", + "Intercept 0.568 0.053 10.726 0.000 0.464 0.672\n", + "content_sessions 0.378 0.044 8.597 0.000 0.292 0.464\n", + "Group Var 0.015 0.013 \n", + "================================================================\n", + "\n", + "Intercept 7.723534e-27\n", + "content_sessions 8.148037e-18\n", + "Group Var 1.907288e-01\n", + "dtype: float64\n" + ] + } + ], + "source": [ + "#LME for target vs non-target assemblies at remote content times\n", + "\n", + "import statsmodels.api as sm\n", + "import statsmodels.formula.api as smf\n", + "\n", + "arthur_first = arthur_content_plot.copy()\n", + "arthur_second = arthur_non.copy()\n", + "#arthur_second = arthur_head_dir_plot.copy()\n", + " \n", + "ginny_first = ginny_content_plot.copy()\n", + "ginny_second = ginny_non.copy()\n", + "#ginny_second = ginny_head_dir_plot.copy()\n", + " \n", + "tonks_first = tonks_content_plot.copy()\n", + "tonks_second = tonks_non.copy()\n", + "#tonks_second = tonks_head_dir_plot.copy()\n", + " \n", + "molly_first = molly_content_plot.copy()\n", + "molly_second = molly_non.copy()\n", + "#molly_second = molly_head_dir_plot.copy()\n", + " \n", + "ron_first = ron_content_plot.copy()\n", + "ron_second = ron_non.copy()\n", + "#ron_second = ron_head_dir_plot.copy()\n", + " \n", + "pippin_first = pippin_content_plot.copy()\n", + "pippin_second = pippin_non.copy()\n", + "#pippin_second = pippin_head_dir_plot.copy()\n", + "\n", + "# make combined lists\n", + "content_list_lmm = np.concatenate([np.ones(len(arthur_first)), np.zeros(len(arthur_second)), \n", + " np.ones(len(ginny_first)), np.zeros(len(ginny_second)), \n", + " np.ones(len(tonks_first)), np.zeros(len(tonks_second)), \n", + " np.ones(len(molly_first)), np.zeros(len(molly_second)), \n", + " np.ones(len(ron_first)), np.zeros(len(ron_second)), \n", + " np.ones(len(pippin_first)), np.zeros(len(pippin_second)), ])\n", + "\n", + "rat_list_lmm = np.concatenate([ np.zeros(len(arthur_first)),np.zeros(len(arthur_second)), \n", + " np.ones(len(ginny_first)), np.ones(len(ginny_second)), \n", + " np.ones(len(tonks_first))*2, np.ones(len(tonks_second))*2, \n", + " np.ones(len(molly_first))*3, np.ones(len(molly_second))*3, \n", + " np.ones(len(ron_first))*4, np.ones(len(ron_second))*4, \n", + " np.ones(len(pippin_first))*5, np.ones(len(pippin_second))*5, ])\n", + "\n", + "# not normalized\n", + "arm_rep_lmm = np.concatenate([arthur_first, arthur_second, \n", + " ginny_first, ginny_second, \n", + " tonks_first, tonks_second, \n", + " molly_first, molly_second, \n", + " ron_first, ron_second, \n", + " pippin_first, pippin_second, ])\n", + "\n", + "lmm_input_table = pd.DataFrame(np.concatenate([np.expand_dims(content_list_lmm,axis=1),\n", + " np.expand_dims(arm_rep_lmm,axis=1),\n", + " np.expand_dims(rat_list_lmm,axis=1),],axis=1),\n", + " columns=['content_sessions','arm_representation','rat'])\n", + "# generate model\n", + "# use + to add more confients close\n", + "# content_list + [date]\n", + "md = smf.mixedlm(\"arm_representation ~ content_sessions\", lmm_input_table, groups=lmm_input_table[\"rat\"])\n", + "mdf = md.fit(method=[\"lbfgs\"])\n", + "print(mdf.summary())\n", + "print(mdf.pvalues)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6beb57ab", + "metadata": {}, + "outputs": [], + "source": [ + "# Figure 6G - assembly activity at reward time" + ] + }, + { + "cell_type": "code", + "execution_count": 402, + "id": "9db9bd21", + "metadata": {}, + "outputs": [], + "source": [ + "# ***load list from pickle***\n", + "import pickle\n", + "# data for all target times\n", + "file_name = '/stelmo/mcoulter/coulter_all_figures/all_rats_target_rep_cell_assem.pkl'\n", + "\n", + "file = open(file_name,'rb')\n", + "all_rat_list = pickle.load(file)\n", + "file.close()\n", + "\n", + "ron_no_reward = all_rat_list[0]\n", + "ron_no_random = all_rat_list[1]\n", + "ron_non_no_reward = all_rat_list[2]\n", + "ron_non_no_random = all_rat_list[3]\n", + "\n", + "tonks_no_reward = all_rat_list[4]\n", + "tonks_no_random = all_rat_list[5] \n", + "tonks_non_no_reward = all_rat_list[6]\n", + "tonks_non_no_random = all_rat_list[7]\n", + "\n", + "ginny_no_reward = all_rat_list[8]\n", + "ginny_no_random = all_rat_list[9] \n", + "ginny_non_no_reward = all_rat_list[10]\n", + "ginny_non_no_random = all_rat_list[11]\n", + "\n", + "molly_no_reward = all_rat_list[12]\n", + "molly_no_random = all_rat_list[13] \n", + "molly_non_no_reward = all_rat_list[14]\n", + "molly_non_no_random = all_rat_list[15] \n", + "\n", + "arthur_no_reward = all_rat_list[16]\n", + "arthur_no_random = all_rat_list[17] \n", + "arthur_non_no_reward = all_rat_list[18]\n", + "arthur_non_no_random = all_rat_list[19] \n", + "\n", + "pippin_no_reward = all_rat_list[20]\n", + "pippin_no_random = all_rat_list[21] \n", + "pippin_non_no_reward = all_rat_list[22]\n", + "pippin_non_no_random = all_rat_list[23]\n" + ] + }, + { + "cell_type": "code", + "execution_count": 371, + "id": "5a434e54", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "10-Dec-24 17:48:47 Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n", + "10-Dec-24 17:48:47 Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n" + ] + }, + { + "data": { + "image/png": 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9dD0rItLJKLVARETajes61BRk7yQwDj2Ov5GkUSex+dvnyZv9OsHKkgbbfZEJpI6fQup+U9pzuiIiIp2O69jYgWpWPnsl1QVZjY6p3LyCVS/eRJ/T/kpM7zEKvol0BMtD3tx3Wjw8d/YbRPcc1Y4TEhGRX0NpBSIi0m5cx6Z45deNb7S8RGYOp/uEm0kadRI5M59m88yndgiMAwQrCsmZ8Rgbpz/YzjMWkZZyHbtFr4nIrrE8XjZ+/ECTgfE6rh1g3Vt/wgnWdtDMRPZuFTlLqC3Z0uLxJau+x65tosSgiIjsNsocFxGRdmNh4dRWNXjNGx5L8qiTSBp1EiGxqfWvZxx6IfEDDyJvzjsULv4U197x5j7vp7eI7j2W2D7jVFdVZDepq3tcnrWAvLnvUJW7BoDw5N4kjZlETK8x9WNEZNcFKospWj6zRWOd2koKFnxI8piTsTz6nBRpL67r7NBkfuc72dg1ZXhDwtpnUiIi8qvoiklERNqNi4svIq7+5/DkPvSd8nd84dEULplB/vz3qSnMxvJ4iEgbRPLok+kx4SYSR0xgzWu/w67aMYs8b/YbxPU/oAPfRcdxHAgGzZ+9XvMl0pHqgtpOsIZgVRkerx9fRGx9oz/XtrFryln9yq1Ubl7eYN+awmyKV3xNRLeB9J3yf/jCYxQgF9lFjh2kcNEn0IpVGYWLppMy9tR2nJWIWJYHj7/1QW6PT4FxEZHORsFxERFpNx6vn/ihR5D9+WOExKTS7+z7CZTlseKZy3fItild8yOla34kIm0Qfc/4G/2m/J1V067HCTRcflq2fi6BimL8kXEd+E7aVyAAfj+sXAlffgm1tdC3Lxx3HLgu+PRpLR2kcstKcme9TvGKr+ob/oUl9SJp9Mkkj56IY9ey8oXrqM5f38wxVrDqhesYeMHjeEMiOmjmInsmy7IIlLUuO7W2LK+dZiMi24vuMQJPSARObWWLxkd0G4gvPLqdZyUiIq2lmuMiItKu/JEJxPU/kO7HXItTW8mql25udhlq5eblrH75t4Qn9yKl0QacLsGKVi5j7cQcB777Dg4+GAYPhiuugOuugxNPhB494N57zRjH2d0zlT3dlu+mseKZKyhaOqM+MA5Qnb+eTV88gROoIW/2G80Gxuv3Kcgid9brXaoGuW2b8yw/H3JzzSoO2zYPqER2G9fF4wtp1S4ef2g7TUZEtmf5QkgYdnSLxyeNPhnXDrbjjERE5NdQcFxERNqV69h0P/4mYvuNZ/O3z2NXle50n6qtqylYPJ2kUSdCI2UZLF/XvfEPbIs5Ytvwxhtw1FHwzTc7jt20Ce64A047rePmJ3sf17EpWDSdTV/+t8kx8UOOxBMSRv6891p83Px574FltcUU21UgYALid98N3btDcjKkppqvW2+F7Oxt5Y5EOpxlEd1nbKt2ie41BvcXT3VcPWEVaRdpB/8Gf3TyTsdFZgwlcfgx6pkjItIJKTi+E9OmTWPChAnk5+fv7qmIiHRJlseLLzwau6aCoqVftHi//DnvEBKdTGy//Ru8HhKTSmh8eltPs93Ztvl65x244AL44gsTdDv33J0H3t56y2SQK0An7cHyeNnyzbPNjglP7Ud13jpqS7e2+LiBsjyq8zfs6vTaVTAIixbBkCFw113mgVSdwkK4/36zomPGDHP+inQ0y+MluscIwpJ6tniflLGnUp23jhXPX8OK565mw/t/p3LLSoAutZpDpLOzLA++sBgGnPtvQhO6NzkuutcY+p31jy7xwFhEZG+k4PhOTJ06lQ8//JCkpKTdPRURkS7MojxrAW6wpsV7VOWuIVBRRHhSrwavJ406scvVOXBdePNNk5V6+unw7rswfjw89hjUtPA/ySOPgEef2tLGXMemdN1P1BTlNDvO4w/Frq1udkxjnNqqXzu1due6JmP82GMhr5kSzRUVMHkyLF+uALnsHq4TJOPIq8DaeYPbhOHHEp7cm+wZj1GxcREV2YspWPgRK565nBXPXYNdXa6yDiJtyPL6CIlOZshlz9Ln9L8R03c8ofEZhCb2IGHY0Qw8/zH6n30/Hl+YmlSLiHRSWtMjIiLtz3VxWhEYr+MEa7C2q50amtCd5H1P7VI3F44DL74I5523LaZ/3HEQHg5PP93y42Rnw/TpcPTR4O06b186Odd1qNy0bKfj7JoK/JHxrT6+LzLh10yrQzgO/OtfJkC+M1VV8Le/wbRp7T4tkR1YHh8xffal96Tfs/69e3CDtY2OSxh2ND0n3EL+/A8oWzd7h+0V2YtY8fw1DDr/MTweL5ayWEXaRF2plNg+44jrf0CDbXWrNSxlOIiIdFr6DS0iIu3O8njwx6S0bh+vH194bH2N8vDkPgw45194/K1rTLa7lZXBpZc2THZPSoLKyuazVRuzdq0yV6Xtue7OaxGXrZ1NaHw6kRlDWnzciLRBhMZ125WptSvHad0Dqtdfh6Ki9puPSHMsy0PcwEMZfs3rpB92CWFJPfGGReGPSiJxn+MZdOF/6DXxDgoWfULWxw80eZyagiy2fDety63AEukKGqsn3lxCR13g3LGD9Ss6tLJDRKTjKXNcREQ6RFTGUELjM3ZavqFO3KBD8YaEE6yuoM9pfyW2//7gul0qazwYhCefNFmn26uthZBfEeMPDVW5SmlrVrN1UuuUrp1NTVEOyWMmU5GztEVHTh4zGdcOdtrmY9nZrXtAVVsL8+bBEUe035xEmmN5PPjCY0gdfybdDpha/7rrulRkL2b1K7dRuuaHHfbzhISTMPRoIjOG4AkJ/zn4puC4yO7iOjZ2bRX5c98lf/571BZvBiAsuTdJoyaSuM/xeLy+Tvv5KSKyp9FvWxER6RCuY5O872SyP324ReNTxp6K69j0OvG3JsBmeaCLBYZ9PnjllR1fX7nSbNt/f/j++5Ydy7LgsMPMfiJtxeP1ET/wELIjYglWljQz0mXrrNfocez1lKz5kaIlnzV73PghR5C4z7FtO9k29mtWYagprnQGv3xIbNeUs/L5a3YY5/GHkX7oxSSOOB6PP4zKzStxgtV4QiLBsnAdu0s9cBbZE7iOTeWWlax+5db61ZF1qvPWkT39QXJ/eJl+Z91HaFyaAuQiIh1AZVVERKRDWB4vyfueQuyAg3Y6Nv3Qi4lMH0zFpuU4dmCHGwPX2XkZiM6isHDH1774AtasgSuuaPlxjjgC+vZV5ri0A8tD8pjJOx2WP+dtCpfMoNfEO+h2wDl4QiN3GOMJiSB1/7PpdfLvW1SuZXdKT4ewsNbtM3Bg+8xFZFfYNZU7vBbdeyxDr3yZpNETAQu7tprIjMFE9xxFZNoAAqX5lG9chGMH6ks7iEj7ch2H2tJcVr98yw6B8e3Vlm5l1Ys3YtfueG6LiEjb02NIERHpOC70OeXPbP7qafLmvoNdXdZgc0hcGmkHnkfiiOOxayqJSO1H4eJPKVj4EbXFW7C8fqK670PyvpOJTBuI6zomo7wTi47e8TXXhf/8B/78Z3jqKfjqq+bLv4aEwN13QyAAfn/7zVX2TpbHQ7eDzqMqfz3Fy75sclxIfAZRPUYAkHbIhaQdcgEVOUsoXvktrl1LWHJvEocdg+UL7RKN/sLDYcoUePbZlo0/4gjo2bN95yTya/hCI7F8YYTEJBGe1Ju0Qy8kPLk3taV5OIFqfOExlG1cSOGiTwhWFOHxhxHTeyzxQ48Et67vgKWGgSLtzbLY8u0L2NXlOx0aKMsj76c36XbguVrhISLSzizXVTeWlsjMzCQnJ4eMjAyys7N393RERLos13VNvVPXoWj5TGqKsrEsDxFpg4jpOw6nphK8Pqpz17Lm9d8TrGgk9RqIHXAQvSfdieX1ddoAeTBogtp//rP52bLg2GPhyithwgTw/nyvU1BgguVPPAEbNjQ8Rni4Kc2y/XiRtlYXHMub8zZ5c96ipiCrfpsvMpHep/yRqIyhuK5D+caFODUV+MLjiMwcagZZHlzHxtOFln/bNixZAmPG7LxcSnw8fPONyRzXeSidkR2oxuvfthSipngzvvBYaktzWf/2n6nKW7vDPt7wGDIOv4ykkSd05FRF9lp2bSWLHjwFJ1DdovH+qCSGXf2qHlyJdDDXdepXVVlYKm+0F1BwvIUUHBcRaRvVhdmsfO5qEkdMIH7IEfgj43Edm9qSrRQs+JCk0RPx+MNY8exVODtZThrTdzx9z7inU2epbt0KmZmQlATvvgtjx5qmfk8/DevXm6zwQw6BCy6AyEh4/nmIioJx40xAzucz2eKlpSYLXZnj0p5cJ4jl8VGxaTm1pVvxhkYS1X0ETrCGLd8+T8HCjxosBfdHJ5M06kRSx5+F5fF2uew2x4EXXoALL2y8Bnm3bvC3v8HUqebh1vLlUF1tzum0NK3mkM4hUFFM/ty3KdswHydYQ0hMCon7HE9M33EEyvJZ/fJvqc5f3+T+3Y+9vr78Smf+PBXp6sqyFrDqhetatc/QK18iNC6tnWYkIturayRflb+e0rWzcQM1+GOSiR90GJbPXPB11qQs2TV6/LET06ZNY9q0aeTn5+/uqYiI7BGc2kqcYA12dRmVm1fgCQnHqamgbMN8aou3EJk+mDWv/W6ngXGA0jU/ULp2NjG9RnfaJ/opKXD//SbzOyzMBMK//rrhmDffhN/9Dm69Fe68E/Lz4cknoawMkpPh9NMhI8MEyEHBOGk/lsecR5Hpg4hIG4DruNjVpax8/hpqCndMDgiU5bH5q/9RsvpHBkx9gK5WmsHjgXPOgV694K9/hU8/3VbiqF8/U/LI64U//tGUQMrLM9ssy5RZuf56OPHE3TV7Ecj5/Am2znoVtqsbXrlpGcXLZxIan0HvU+5iwDkPsuK5qxo9hwGyP32YuEGH4ouI66BZi+ydXDvQ8AXLS2z//UkeM4nI9MF4QsKxayopz5pP3px3KFv3k3oCiHQQ13Go2LycnM8fpyJ7cYNtGz95kMR9jiPjiMuhCyaDyM4pc7yFlDkuItI2TOMwF48/jMotq7BrK/CFxxKR2g+7tgrXCbLwwVPglzcQTYjptz/9zrinfSe9i2zblE7Zbz+TLd6cm26C++6D446DTz4xr/l8MHEi/PvfJtiu4Lh0pBXPXklFztKdjosffDi9J/+xA2bU9uoywDdsgDlzTED8mGMgJwcOO8x8b0rdOSvS0TZ++hB5s99odow3LJqB5z2MXVvFimcub3Jc2iEX0u2AqbrhF2lHNcWbWPLo2QBEpA2k9yl3ERrbjfLsxZSs/Aa7phJveDTxgw8nIrUfVXnrCYlNxRsSvptnLrJncx2b0nU/sfb13+/4EGs7kRlD6D/1n1hevzLI9zAKjreQguMiIrvOdWycYIDcWa+SP+89AmV59dvCEnuQNPpkksdMonTtbNa+8YdmL07qebyMvm1GO866bVxwATzzTMvGzpplMlRP+EUZ2O7d4YcfTDa5AuTS3lzHpnLzclY8e1XLdrA8DLv6VfxRiV26NIPjmO+BgKkx/ss+AI159FG45BLzIEukvbmuQ3XeepY9eWGLxsf03Y9+U/7O8meuoHLTskbHhCf3YfAlT7flNEWkESueuwZcm35n3U9V7ho2fvIvqrau3mFcZOYweky4mbCE7npoJdLO7OpyFj10Ok6gaqdjk8ZMovsx13Xpa13ZkR51iIhIh3AdG7umkpXPXcXmr55uEBgHqC7IIvvTh1j98m+J7jWaHhNuadmBHRvH3kk3vd2spARefrnl4x991GSO9+nT8PWNG+G88xQYl45hebzkzX235Tu4Dvlz39lWl6SL8njMao9p01oWGAe4916zn0jHsMj9qfmM8e2Vrp1NTdEmkkef3OSYYHVZW0xMRJrh2kFSxk+hz+l/o3LLSla9eGOjgXGAiuzFrHzuamoKc3Cdzn2dK9KVuY5N/rz3WhQYByhc+EmLm+pK16HLeBER6RCWx8vaN/5AVe6aZseVrZ/Dxk/+ReLwYwhL7r3T43rDovF00nrjYLJP33nHNPFrqddeM4G2Aw7YcduMGbBq1bbsVpH2VF2wsVXjawqzu1TN8ab4/fD44+bPPXuaBrmjR5vGuo1Zvx6mT4eg4hfSASzLomTlty3fwXUoWfUdkemDmxziDYtqg5mJSHMsr4/YvuPxhUUTkTaQwRc9RbeDzsMXmdDoeLu6nHVv/7m+H4iItD3L46Vg0cctHu8Eqiha+nmnT86S1un6dy8iItLpmQYnKyjPmt+i8YWLphMoL2g2y61OwrCjcd3OGyl2XSgsbN0+FRVQWwsxMY1vf/rpLp+cK11EqwPde1D9xX32MWWM1q+HH380tci3bDENdI8+esfxCxbooZV0HLsFTasbjq/A00zd4rgBB6nxn0g7cl0HJxigaPGn5Mx4jM1fPkn5xoWkjj+L4Ve/SvrhlwI7lmmoyl1NRc4SnZ8i7ai2NLdV43+5Alq6vj3nDkZERDoty+Mhf87bLR7vOkEKFnxIwtCjsDw+fBGxePxhjR2Y5LGntt1E24FlQWxs6/YJD4eQEChrYpV7To5pGCjSnlzXIWn0yWQefQ09JtxCxpFXEtNv/2YD4BFpA3H3gEyaQACefBKKiuDUU2HECJM5ftVV0LevyRJ//XUIa+TXkkhH8IU18fS0qfHhMdg1FY1vtLwkj5msusYi7cB1XVzXpXLLSso3LsAfk0x4t/5UF24k66P7WfzQ6Wz+5llS95tCzxNvbfQYBYs+2aPOz8ZWWWnllexOljekleP9gDKV9iRanyMiIh2iKr+FxXsBPF4sfziekHBG3fZZ/cvVhdnkz32XgoUfYVeXkXnUlYTGpXfqhih+P5x8sgl219a2bJ/Jk833H39sfHt4uMkc78RvW/YErkvisKOpyluHU1uFLyKW1P3OoKZ4M7mz3yBv9htsf2Ng+UJJ3Oc4qvI3EJ7UE6sTlztqTiAAmzebhriLFzfcNm8ePPEEnHIKPPecCZCffLKpUT5ihOqOS8dwXYf4wYeRO/v1Fo23PD7iBh5C8YqvG92efuhF+CLj23KKnUogsO2Bsm2rb4d0MMfG8vrwhccRKM3FdRwiUvuROPxYaoo3s/mrp9ny7fPUFG2i96Q/ULllJXk/vdngEMGK4t0z9zbmOOZz8ocf4KGH4NNPoaoK0tLg3HPhyitN+TIlgEhHi+45kuLlM1s+vtcYrD1otaQoOC4iIh2kpYHcsMQe9Dn9HsISMijPXkzhok8IVBTh8YcR23c/0g+7mPRDL6Jiy0qiuw9v30m3kYQEk3360kstG3/NNSYIt3Jl49uPPtpk2OgGX9qD69i4dpC8OW+RP+89aopy6rdFpA0kecxkMo+6ksj0wWz98VVCohPB8hDdazTesCi2Tn+Q3if/YTe+g1/PcUy2+IEHQnZ20+PefNOs7PjwQ3Mz/957cMwxCo5Lx0keeyq5v3hA1ZTYgQfhj0okb+47DV73+MNIO+RCUvc7o51mufvUBeGKikwpstWrTcBt/HiYMsVsUwBO2pvrOFRsWcGWb56ndO0s2K4MYET6YFL3m0KviXcQEtuNLd8+T0yfsaSMO4O8OW83GNvo6skuoi6Zw3HMtetZZ5nP0O2tWwd//jP83//B//4HZ56pz1PpOK5jk7zv5BYHx8NT+xOZPqidZyUdTcFxERFpd67rEp7Sj4qcpc2OC03ozoBzHyJQUciyJy/aoXln0ZLP8H32CBlHXUXisEaK/nZSwSD8/e8wcyZs2tT82EsvNTfvP/3U+Pa0NJNZrpt6aQ+uY2PXVrFq2g1UbV21w/bKzSvI+vgBnGAtiSMmkDD0yAbbg1UlhKf066jptos//rH5wHidTz81meNXXQWDBm0Lxom0N8vyEBLbjfTDLmbTl/9tdqw/Opnux1xLoLyQsKSeeMOi8PrDiekzjsSRE/D4m65D3lXZtskWv+YaeP55qKnZtu2RR+CGG+D22+HGG3ffHGXP5zoOxSu+Yv07f8F1dqwZUrlpGeve+hNVueeSfuhF1BZvIW/OWyTucxwxffejdPX39WNj+o3HtYNdYkWWbZtr1MJCswIyEIABA8znZEFB86UGa2tNBnlsLBx7LPg6/9uVPYDl8RLdY6Q579Y0sWy3frCXjCMu6zLno7Sc5bpq6dUSmZmZ5OTkkJGRQXZL7phERKSe6zpU561n2ZMXNjPKYvAlTwOw8vlrsKvLmz1mjwm3kDji+E6/pC0YhNmzISPD3CCcdhrMn7/jOL8frr0W7r0XZsyAI4+E3r0hK6vhuOefN1k3Co5Le1n5wvVNNs/1RSbQ74x7CE/tR8nq78mf+y6VW1eB6xCW2JOkUScRN+gwLMvqkjcNlZWQmgrlzf/6qXfwwfDVV+07J5Ffch0H13XweH3k/vQWm796Grt6xyYVUd33odfEO7B8IQQqi4lI7r3tGHvwjX1tLRx1FHzdeBWZer/9rXlwLdLWXNehpmgTy/57Aa4d2On43qfcRXhKP5Y+fg5DLnuW0nU/kT3934D53B1+zWtdouZ4MGhWPd59t8kO376c4LhxcP315hr2r3+F3/++6eMMGQJLlrT7dEXqua6DawdY+/ofzCqPRljeEHpNvJ24QYeB42DpZmyPsmdeEYmISKdiWR7CU/oQ03c8pWt+aHRMdK/RhCf3ZkULAuMAGz95kLhBh+ILi2rr6bYp1zWlF55/Hj74wJRLmTnTLPPesMHUIj/4YLjkEujWzdyoP/64WWI6YMC24LjPBw8/DOecs3vfj+y5XMc2DcOaCIx7QiLof9Y/8IbHsvx/l1G1dXWD7eWVCynfuJCQmU/R76z7CI3t1qWCb65rHky1NDAOJvhWVgbR0e03L5Ffcl0by/JQlbuOpJEnkDRiAoVLZ1C+YR5OsJaQ6GQSR55AeHJvnEANefPeJffHV3GdIIPOfxx/TMoe27TCtk1php0FxsE8jJ440azWUoxD2lrurNdaFBgHyP3xFQb+5lFi+owlUFGIN7Tu2tYi86irgM5/vgaD5rw76SSoaKT376xZcPbZMGcO3Hefub79z38aP9bSpeZY+++v7HHpGJblAa+ffmfeS+n6OeT99BZl6+fiBmvxRyeRuM9xJI06CW9YNFtnvUpYfAax/Q8A1+0SD65k5/SrRkREOoTrOPSe/EdWv3QzFTk7poMkj5lEVe4aKjYuatnx7Fry571L6n5TOvVFiWWZZkMbNsCoUTBpElxxBTz77LYxpaXm58cfNzcEqanm9aQk6NfPZNlceql5PScHUlJUb1zanuXxmjqnTUg78FxCYrux4tmrqM5f3+S42pItrHrhOgZd9F98EXGdfnVHHds2ge7WqqxUcFw6nuXxgsfD4ofPIHnfU0gZdzpJIyYA2x50bfn2BTyhkSSNmEDKvqew+dvn8YZGsvWHl8F1SN53Mh5vSJd6iNUSTzzR8rH//rfpMSDSllzHpnDxpy0eX5GzlKq8dcQPOQKPPxwnWI3lC6HHcTcQP+SITt14vk5hobnGbSwwvr3774dhw+BPfzL1xQNNPD/49FPYb7+2nqVI0yzLg+vYRGYMJabXmAbb7JpKCpd8St7sN6guMJlL/pgUep/8ByIzhmKprl6Xt2ddCbWDadOmMW3aNPLz83f3VEREujTL48HjC6H/Of+iYP775M15p0GALbrnKLb++Eqrjlm07Eu67X92G8+0bTkOdO9u/hwIwGuvma/4eEhMNLVQt25tuPQ0M9N8r2vgWVEBL7xgMsdDQ5uuRy6yq35Z57+O5QshccQE8ue932xgvE6gvIAt3037OeOta/B6zYOn1u4TE9M+8xFpmgmUhSf1JCylL3EDDsIJVLP+nbsp37gQu6ayQTO/TV/8h9T9zyT94PMBKFj4ETUFWRQs+oQBU/+FLyIGy9P1bwtdF778cue9Pbb31lvmczg0tN2mJXuhYGUJTm1lq/apKczGH5NMRGo/7Opy9rn2TTyhEV0iMB4Mmnr+paUtG3/ffXD++SaY/tprjY+prlYfD+lYrh2ktjSXtW/dxcDfPExF9hIKFn6MXV1K2Yb5O5zTgdJcVr14E/2nPkBk+uBOnawlO9f1r4La2dSpU5k6dWp9zXEREfn1LI8XCy9JI08iecxkasvycWor8YSE4wmNIFjVwqvqn9mtHL87hISY5kK//W3DAHhRkflqzPnnm5sCx4ErrzQ379vfcMydCyNGaBm4dJz4gYfii4glf967Ld6ncOEnZBx+GZYvpB1n1nYsCw47zJQ32rKlZftMnAjhe14/Q+nkPD9negfKC+g54Wa8oZGsf/dvxPQZS9ohF+INicAJVFORs4S8Oe9QlbuazV/9D7uqjMyjryY0PoOagixqCrJY/fItDLqo+aaeXYVtt/zcrRMImM/X5OT2mZPsnX5VFqnlwR9l/iFG9xwJltVlVl75fPDfVvwaWbIEvv3WrIxsKjiemWmug0U6iuX1seb1O0gYciRuoIY1r96GE6hudh/XriXrg3sZctlzHTRLaS9d47etiIjskUKikwhL7IE/MgGA0PiMVu3vDY1sj2m1uYQEmDKlZWNjY+G888xS7+Jis6T0l5k406a1+RRFAAjfrmHf9sKSe1NTtImaopYnCtg15VRuXt5WU+sQlmXq/7fUtdeajDmRjubaQYJVpYTEphIoL6TflP8jfsjhVGxaStGyLyjfuJCYvvsx+OInGXDuvwmJ7Ubu7Ncpz15CythT649TlbuGklXf49pd/x+yxwORv+KyQA+4pK35IuLwR7fiiYvlJaLbAELj00wiicfbZQLjYFY4bt7cun1WrIC0tMa3hYaaxJKQrvFsXfYArmNTtn4uNQUbSRw5gYJFH+80MF6nuiCLsg3zcR27nWcp7anr/MYVEZEuz3WCuK5L6fq5rHvrLlY8exWrXryRrd+/iF1dTup+Z5D287LvlogbeHCXuBCxbbPcdJ99mh8XGgqvvmoyZR580DQqOvfcHesZFxQoa1zanuvYJI+Z1Og2jz8EJ1jT6mPatS27segsvF644w7ToG9nrr7aZJqrWZjsFpaHsKReuI6DNyySdW//mcUPncHGjx5g05f/ZeMn/2LxI2ex5vXf44tMZOBvHiU0PoP8OW8T03tfQhO61x8qf+47e0TdcY8HjjwSIiJavs8BB0BU5+7rLV2M6zrguiSNOrHF+8T235+QmOQuUUKlMb8mUd7rbfrh8plnmvKDIh3F8njJn/8+oQkZ+CMTKF7Rgq7O2yla/iV0oQdasiP93xMRkQ7hOjbVBRtZ+vg5rHnltxQt+4KKnCWUrZ/LpplPsejfp7Jp5lOkHXw+6Ye1IHXT4yVp9Mldor6b1wthYfDNN3DxxY1nqR10EHz+ufk+aZKpmfrf/5qb9hNOaDg2JkZLTaXtWR4vkRlDiew+fIdtdnW5WeHRygv/kJhWFvHuBLxecy6ec07jge/YWPjLX+Chh7a91lRDMZH244JjE6woZMWzV1G09HNc5xeRJtemZOU3rHzuSuzqMvpO+TvFq77DdR2iemx7Wlu5dXUHz739REWZUg0tddVVOn+lbeXOfoPCJTNIHjMZ388rI5tjef10O/BcHDsIbgdMsB2Eh8PAga3bZ8wY06z+l0aMMD127M6f+yJdmOvYuG7DE662ZAsev7lJs6vLW3U8u7q8yz7cEkPBcRERaXeuHaSmeDMrn7+2ybIMrh1gy7fPk/3ZI3Q7YCpRPUc1e8z0Qy/CFxHXDrNtP1u2wBNPQE6OCXzffbdpSrRwIXz9tWnQefjhMHOmGb9pk1mq2q1bw+OccoqC49K2XNfFdR2qi3Loc8qfCU/u02B7yerv8UXEEtN3vxYfMzylH+HJvdp4pu3P5zOrOJ5/3pyrf/mL6QNw8cVmNcfmzXDbbfDiiyZz/OSTzZ9ra3UzLx3DdWwcO4Dl9bHu7bsJlOY2Oz5YWcLaN+8kLCGTuP4H4NRW4Q3Zvv5IF43INcJxzGdrU+Uatnf44XDGGeD3t/+8ZO+w+ZtnyfnsEQLlhXhDIuh/1n34oxKbHG/5Qug9+U+Ep/QhUF7QZTtQBgJwxRUtH3/QQTBsGDzzzLbXIiJMWbNvvzUJJVohKW2t7gFyec4SipbPpGTVdwSry+q3W14/TqAKAG9YdKPHaIovLHqHYLt0LV1//ZyIiHR6ltdH9vR/Y293AdKU3FmvkTjyBFL3O5PyDfN2PJYvlPRDLyJ1vzOoylvfpYJvX38NxxwDl14KEyaYJaOWBa4L8+dDbq4JwgWDsGyZyX7z+01w7m9/g/x8Ezg/7LDd/EZkj2NZFuvf+z9K1sxi4HkPMeC8h8n76U3y571HbelWKjevoGLTclL2PYXS1d+36JjJ+07Grq3C4wv9dc3JdqO66aakwK23bssgLyszJY8efLBh479334UbbzTB88mTu2x8Q7oI13Wo3LISb0gEFdmLWrRPdf4GStf9RNKYSXj8YfUBAICwpJ7tNdUO5/VCUpL5vD3+eFi1qvFxEyaYRoBK9JO24LoONUU5bP7qfwDE9t0P13UJiU1l8CX/I3/uO+TPe5/a0q0AeMOiSBx+HEn7TiYkKpG1r/+B0IQMMo+6ane+jV/N74eLLoIHHoCsrObHejxw551QWQnHHguHHGIeZk2ZYlZ+OI4C49K2XNcBLPLmvEPenLeoKcyu32Z5Q0gYehQ9JtxEVPd92Pr9SwTKC4kbdAjlWfNb/HfEDzkcXAcs/ePtqixXjzdaJDMzk5ycHDIyMsjOzt75DiIiApiM1EBpLosfOZOWZqcljZ5I92NvoGTNDxQu+JBARREefxgxffcjcfhxeEMjyP70YZLGnEx4Uq92nX9bcV0T8B461Px8zTVw++3mhuD772HtWnNzMX489OgBNTXm508+gS++MD/36AG/+Y258bdt3TxI23Adm/KNiyjPmk/iyBMJiU6qfx3LojpvPXZNOSGxaYTEJJPz+eNs/eHlZo8ZP+RIek/6A9mfP0HKvqfgj07q0stNg0H47DM46aRtNVIHDzaZcpMmmVUfNTWmwZjPB6NG6fyU9uHaQQoWfUziPhPI/uwh8n56q8X7xg89it4n/x6AZU9eTFWuKafSa9KdxA88ZI+oO14nEDDn4PvvmxVbq1ebc3PcONNId9QofY5K23Fdh+xPH6I6fwPdDr6AyPTBeLw+assLwHXwRcRheXzYVaW4jo0vPAYXl5KV31FdsAHL48XjD2vQLLerCQRg/Xo44ghoKlzi9Zrz8YILzM/b1xxX801pL67rsO7tP1O87Msmx/Q88Xaie49h8cNTSDv4N6SMPZVFD52GU1vV5D51wpJ6MeTSZ9puwrJb7DlXQCIi0im5TpCi5TPZaWDc48UXHgNYlKz+gR7HWYQn9abPqXfXDwlUFpM/713y572HNzyG7sde165zb0uWBUOGwIEHmmXc115rSqv861+wdOm2cRdfbF5/6y0TPF+/vuFxbr/dZNc89phZdqpmgLKrLI+XsMTuRKQNpHDxdPLnvktV3jo8/jCGX/smdqCamuItVG5dQ2TGEDKOuBx/TCpbv3+RQFleg2N5w2NJ2Xcy3Q46j4KFH5P7w0tYlkX6oRd36RRNyzLnZjBoGuQ++6zJEN+6FV54wWTKhYbCoYeabFWVPZL2Ynl9RKQNxvJ4qC3N2/kO26nLWq3YsrI+MB4an0H8oEO7RP+O1qgrlXL88TBxYsNtdeWPFBiXtmJZHiK7j6D7Mdfhui7lWfPZ+uOrlK75EVwHjz+c+KFHENtvf6Iyh+M6Qco2LiK2337EDTiQ2tJcXNfBCdZief2Ai9XFmvv5/dCrFyxaZGqG/+c/sHGj2RYebq5db7jBlFOpW12lgLi0N9dx2PLtc80GxgFyZ79O4j7Hkjx6Ivnz3iN1/Jl0P/YGNrx3D83dw1q+UHqeeBuuE8Ty6KasK1PmeAspc1xE5Ndx7CBbv3uBzV8/0+j28JR+pB9+CdG9RuPxmrvZuozVzd88T8G8d/GGReEEagiU5dfXi+t5wq3EDz0Sy+PrMiUbAgGTIT5wIFx2mblx2N7o0fDjjyY4fuWVzR9rxAhTlzE8XCUcZNc4dpCaomxWv/zbHWoXj7jpQzZ//T9yZ70GQL8z7yUkJhV/dDIefyglq741zfxcl7DEHsQNOhSA3B9fZdPMpwAXX0Qc+1z/dge/q7ZRW2u+V1ebhrrPPgs33wwDBphGfq++umMzv9694Z57TCBApK05wQCua2N5vNhVpQTKCyhd95MpgVS8udl9o3uNof/Z97Nx+kPk/fQG/uhkBpzzICGxKbqpF9kFruvgOjYer5+tP75KzozHaCqgFpk5nP5n3YddW0ne7DfIX/AhwYpCADwh4SQMPZqUcacTGp/RZa5vfykYNNemW7aYPycnm4QOlUyRjubaQRY9dBrByuJmx0V2H07/s/+JZXnY8MG9uMEaek36A0VLvyD7038TrCzZYZ+QuDR6T7qTiG4D9rgHzHsjXQWJiEg7cxttamJ5fPQ9815ieo0mUF7Ilm9foGrrKtyfg2zJYyaRfvBviO27H6tevKHBsrbEfY4nccTxlGUtJCwh0zTmtOj0WTZ+P/TpA48/vmNgHOD662HDBlNyZWcWLIBbbjHZOSK/luu62DXlrH7xZgLl+Ttst6vLCIlLIzShOybQHU9Z1gJyPn+chGFHk7jPcSRnDAXLIlBeyOavniZ/wUfYVdtuIoKVxTjBWjy+rpEiZtvmpr6sDF56ySwPDw83S8VfecUEzK++GqZNa3z/devgzDOhuNg0F+uisQ3phBw7iMfnp6Y4j5LVP+IEqvBFxJE08kRSx59J8YqvyfrwH9jV5Y3uH91zJE6wlqLlX5Ky3xRS9z8LX1iUAuMiu8iyPAQqCqjaupqcGY82OS4kJpU+p95FVd5aVr9yW4PPSgCntor8ee9SsPAjek28g7iBh3TJAHndqsb09IavKzAuHcm1gxSv+HqngXFfRCx9T/0LFdmLqCnaRK+TbqMsaz65s14nefRE4gYeTNGyLylZ/R1OTSW+iFjihx5NTJ+x4DoKjO8hlDneQsocFxH5dVzXIVhZzKKHTgfn57XMlodBF/6H8KReZH38TwoWfgyu/Ys9LWIHHEiviXcQKM9n2ZMX4QuLIWXcaaSOP5O8ue9i15QTP+hQNn76MH1P+wtYni5R13jgQFi5suFrSUkmCHfHHXD//S07TlSUKesQEdH2c5S9g+s4bJr5JFu/f/EXWyxi+oyl+3HXExKbVn9euY5DTckWsj64t1WNikbdNqNL3DwEgyb4ff31plxK1S9KTY4eDffeCwcfDKeeauoZN8XrhTVrTK+ALvBrSTo517GpKcwh+7OHKV07m+2zUi1fKAlDjiDjiMsJVBSy8oXrsKtKG+xvef0Mv+Z1HDuALzymPiDeFQNvIp2J69hUbl1NZNpAVjx/DRUbm26S2+P4m4npN55lT160Q2D8lyyPjwHnPaSsVJFfybEDbP3hZTbPfKrZcan7n03aQb9h8SNnEKwsIW7QoSTvO5noHiN/Pk4QCxr05XAdW+flHkZpAiIi0q4sy4M/MoG4/gdSvOIrAHocdwPhKX1Y+9odlKz+vok9XUpWfsOqF29kwDkPMvSKF/FHxuMEa9k08ym2fPs8PSbcgl1TSenq78n5/HEyjtxJLZLdzHFMKZRfBsbB1CoODTUBuZYqL4c33jBZqnX1VUVax6FgwYcNXvGGRdHn1LuJ7jmKyi2r2Pj9A1TnbwDLIjy1H8ljJjPgnH9RvOIb1r1zN26wptm/ISJtUJe4gbBtExg/+GCYO7fxMXPnwnHHmQzyl1825Y3WrGn6eA8/DP/3f8qWk13jOkGqctexctr1ODUVO24P1lCw8CPKc5Yw4Nx/03vSH1n90k0NxqSMOx1fRCwVm1dStn4OJat/pNdJt4IV0iUeKot0VpbHi11TTlX++mYD497QKBKGHcWW76btNDAO5rzf8u0L9D39r205XZG9yk5XFVsekkZNpHDpjPrSKcXLZ1K8fCZhSb2ISB+ENyQcu6aSqtw1BKtKsasrGHzxfwmJ7dbpVy1Ly+n/pIiItCsnWEN5zlIyj7kWf1QSYBE/9CiKlsxoJjC+TeWmZeT++Cr+yHhyPn+cRQ+dxpZvn8fyhRA34CDKNpgoVv6893EC1e38bnaNbTceGAeIjzffc3Mb396UzZvV/E9+vZrCnAbLTT3+MPqdeR/hyX1Y9eJNLH/6EvLnvUf5xoWUZy0gb/YbLH38HNa+cSfRvceYm/adBL6Tx0zCtYPt/E52ncdjmoUtWQJTp8JXX0FRkak3vnkzPPUUjBljssvPOQcqKkx5lea88IIC49IWLNa89rtGA+PbqynIIuuDfxDTewwRaYPqX0/edzIZh18KQGTaABKHH0vvib+jujAHXH2AiOwy16U6b12zQ+IGH4rl9ZM//4MWH7Zk9Q8Eygt2dXYieyXL8hCZMaTZMWFJPQmN60bh4uk7bKvOX0/hwo/J++ktChd9QtXW1QRKc3FqKyhY8BGoCMceRcFxERFpV3ZVOVu+eQ5/RBwDfvMwGUddiTcknLw5b7X4GPnz3gPLQ/zQo+qDA/GDD8cXEUv+3HcBcAJVFC6ejtPJg3BNBcoqK8338PDWHS8yUiUb5Ndz7IbdJNMPu5iwxB6seukmytbPaXK/4hVfsebV24jqMYJu489qclx4Sl/TONfb+RcrlpebMkVZWSaoXV0Nf/sb3HQTPP00HHkk/PQTzJhhzrsnn4Tzz2++rNHWrR02fdlDuXaQouUzCZTltWh8yervqSneTPLYU0kcMYFBFz1J92Ouo2TNjyx44ETm3nMEC/81iezPHsHyeLrEqg6RzsyxAz8HyZq/GAuJ7UZtWV59880WcW0qt6xElXBFWs/yeInuOYrQxB5NjvGFxQCQst+ZDDz/cQZd+F/6nfkPEkeegMcf1uR+gfJCfX7uYRQcFxGRdmX5Q0g9YCoATm0lqeNOJ1BRREXO0hYfo7Z0K5WbVxCZNpC0g88nJC6djCMup3jlt9QU5dSPq87f0KmXt/l8cMABjW9bsMB8P/bYlh/Pssz40lJlj8uvExKdDD+fM1E9RpE0aiK5P71B1dbVO923PGsBhQs/JmnMyY1mj4en9KXfWfd16nOyTm0t/PADvP46/Pij6QtwzDHw0EOmMefhh0NKihl78MGwerXpERAXBwcd1PRxW/uwS+SXLK+PwoUft3wH16Fw0SckDDmCHhNuJjy5D5u/eZY1r9xqGnX+3Ackb85bLPvP+Wz+5rn2m7zIXsDj9ROoKCI8pU+z4yysX5Vp6uoCT+RXcx2btIN+0+i26N770nPi7QCExqRQU5QNrkN4t/50P/YG9rnhPfqdeR++yPgd9vX4Q3Ru7mE6/92KiIh0ab6waCLTB1OVv4FlT15MTenWHRqFtUSwqoRgdTmp+09l4HkPY1eXseGDexuMMUG4zptdY1kwYAAcdtiO25YsMQG3a65p+fGOPhr69YPvvjMlW0RayxcRS0yfcSQMPZr+Z9+H5fGZlRotlDfnHUKik0kYdkz9axHpg+l50u0MvOBxvKGRXSaz5tBDTXB80iRT/ujYY2HjRnj2WSgpgdtvh0sugT//GfLy4NFHTYmVfv2aPuZxx3XY9GUPVlvauiUItaW5WB4vm774L1iY5d9N2PzV0+TOfh1X5VVEfhXXdQlWFhOW2IOoniObHBeoKMQflYgnNLJVxw9L7qW+ACK/kuXxkjD0yJ/7Um07j+IGH0a/KX+npjCH1a/+jpriTcQPOYKQ+AzKN8yjcNEnlK75gage+zD8mtfpeeJteEK2LRWM6TNOn5t7mM6/xnU3mzZtGtOmTSM/P393T0VEpEtybRuP14cTrAbXwa4swx+V0Orj+MKiCVYWExrbDSdYw8rnr92hoVF42sBOX/8tEIA//cmUaPhlQPubb0yZhkmT4O23mz9OZKRp9Ddvnko3yK/n2kHSD72I8JQ+1BRvxq4qJVDa8sL3VbmrqS3No9eJt9LjuBuwPF7TnKy2iry577L5q6dJGTOZ9MMubsd3seu8XiguhgsuMFnj//d/MGGCqTn+xRfw3nvw/PMmixzgL38x5/Azz8Af/wjvvmsyyX/pmmtMAN2nK27ZBZa3dR2XLa8f1w4SP/gwStf8SG3JlmbHb/76GZJGTcTyhezKNEX2Ui4xfcdRlbeObvtPZfWGBTSWqFG8fCaZR11F4rBjWlxaMKrHCMLiM9p4viJ7n5RxpxPdcxS5s9+gujCLXif9jqKln5Mz82kGTP0nltdL1of3U7R0RoMeVt6wKBKHH0faIRcQntKXVS/egDc0ipi+4/XQag+jzPGdmDp1Kh9++CFJSUm7eyoiIl2S9XOR7ZAo83u0KncN/qgEItIGtvgY/uhkItIHUZW7lqJlX+DUVjVoIgjgDY8lYfDhnba2cTBovrxeOPBAk43q/0W84/33TXmUl16CKVOaPlZyMnz8MfTta4LpI0ao6Z/8OpbXR3hyb8rWz6Vq6xrs2spWHyNYVUJNSS6W14djB8j66AEW3H8COZ8+hFNTwZbvXiDni/+0w+zbjuuarPEPP4SlS805+sYb5pysrYUHH4RNm+Dee7cFumfMgPHjTb+A11/f8ZiTJ5tVIgqMy65wXYeoHiNbtU90jxEEKgqJSBtI3py3dzreri6ncPFnXaJx7i8FAuYcra1VeTHZPSzLQ3hSL6rz1hPdazTdj7uhvlzZ9gLlBRSv+JrkfSe3+EFU6vgzu+R5KdLZWJZFeEpfep10GwPOeYhAWT5ZHz1AvzP+Bq7DimeupGDBBw0C42A+H3Nnv86K564mJCaF3pPvMlnoyhrf4yg4LiIiHSIkNpWonqPY9NXTOHaQ5NGTWrxv0qgTwXXJ+fwxqvLWERKXtsOY1PFTGr0Z6QwcBz791JQ/mT0bpk6F006DhQvh6qshxvSC4cMPTf3wNWvg5Zdhzhy4+GJTtqF7d1Pb+KmnYMMGk9169NFmv3HjwNM537p0AZbXx+ZvnsWuKccXFt3q/X3hMRQtnUGwophAaS5Veet2uGnY+v1L1JZs7ZRNxeoyu884A9LT4cwzIS3NfL/wQlMapWdP+Oc/4brrTG3yTz6BigqTLd6tG+y7L/zud9sC4WecYc5hBeukLaSMPYWdNfur44tMIG7gIfijksj96S1K1/zYov3Ks+Z12ofLv+Q45quy0pxn//wnPP64KU0GJmAu0tHihxxO+caFJI08gYHnPUz8kCOwPNvOKW9YFLXFWwiNz6D3pDt3uiIk/bBLie23Py0990WkedbPN0uWxyL3pzeJ7b8/4cm9WfvGnc02vfZFJhCe3JuiZZ8T03sMcQMP7jIlA6XlusYVkIiIdHk1xVtI2fdU1r7xe2oKskgYfgxFy76gdO2sZvcLT+1P6n5n4thBorrvA5YHy+vH4w+rf7qfPGYy3fY/uyPeRqsFg/DZZ3DLLbB4MZx9Nrz6qrmJv/VWeOAB81VQYDLJ4+LMfmedZcY+8UTDwPeGDXD33fDkk6bu8bRpJhDwyyx0kZZwXYfq/CwqshcTGp9B0sgTCI3PaNDotjkR6UMIiUmhfMM8nEAVaQf9hoHnPURV3jry5r5Dwbz3cZ0g4JL705tkHH6ZKb7fifh85hxavdo04Swu3nHMpk1w550wcyZ89JE5X//wB1N2JTYWTj8d/vpXuOEG81r//iZ4p4dWsqssy0NoXDqJIydQMP+DnY5PP/RisDwUr/ya7E8favHf4wRrd2WaHSYYNOfrrbeaskZ1pY7qHHYY/OMfMGqUVlRJx4vqPgJwCYntRu9JdxKsKjU9ALx+QuPSsbxeKreuJqbPWAac9zBbv3+R4pXfgLOtzl5Uz1Gk7ncGsf32J3f266SMPW33vSGRPVThoo/pe/rfzMrJ3Mab0EekDyZl3OnEDzwEy+vD/fk8tSwL17EVIN/DWG5nTOHphDIzM8nJySEjI4PsxopKiohIk1zHpqogi4jk3mR/9ggla2Yx+KInwYKsD+6lcMmMRpenxfTdrz67pmLTMqJ7jKC2vABfeCwbP3mQQFkeyfueQmzfcbvhXbWMbZus09/8xgTIU1PN8u86aWkwcaIplVJbawJzd91lGgEedxyEh5vM8dBQE5CbN29bNuqf/mTqHYv8Wo4dpHDRJ2R9+A8sXwjDr36NgkUfkzPjsRbt3/Ok24nKHM6Sx6YSmpDJ0MufZ+NnjxKVOZS4AQdRtmE+a9/4PU5tFaEJ3Rl6+fPt/I5ar6gIIiKgVy/Y0nxpZgCuvdY80OrVq2Gd8eHDzUOrMWMUlJO25bouuA4b3v8/Chd/2sQoi4yjriR13OkArH3zjxQvn9nivyNl3BlkHHn5z42tOyfbhpoaEwCfPbvpcWFhpiTSoYeqrJHsHo4d/DlL1QLXpbowCzcYwBsWxZJHzyIifQiZR11BVOZw7NoqglVl4ASwvCGExCRTlb+ezTOfpnjFVwy7+lVCYlJ291sS2WPY1RXkzX2H1PFTqC3ZQm1ZPpVbVpI/911qCjcCkDT6ZLofcy01RTnkzX2HwsWfYVeVYHlDiOk7jpR9TyG612hc1+nUn5vScrpcEBGRdmd5vEQk96Zo6RdkHnUVofHprH/3r/Sa9Ad6TbyDtEMuIn/uO1RuXQ2uQ1hSD5JGn0x4Ui+cQA2rXr6FiqwFRHYfTr8z/g/Xsel+zLV4fP6fs1I7p0DA3KDn5Jjgd05Ow8A4wObNJjt8e7NmwfTp8NNPJgj33HOm3AqYpNtjjoEbb4Rjj+2Y9yF7trpMGDdYS/6890jZ7wxKVn5L+caFze4X2/9AEoYeRfaMxwCXYJX5Rxoo2cy6Wa8S1WMEfU/7K31OuYvVr9yOU1vV3m+l1VzXrLqYNq1lgXGAp582qzcuvdRkk9dZtMgE7WbMgLFjFZSTtmNZFi4eek28g6Qxk8j76S1KVn+PU1uFLyKOhKFHkjxmMiFx3aguzMYfmUCP428ifvDh5M9/n7J1c2isQeD2Ekee0DFvZhd4PHD99c0HxgGqq+GUU8xnblRUh0xNpAHPdiWKXFzy539At/FnUluSi8cfTvzAgwlL6AFAoCwfJ1CNLzKekOgkakq2kjf7DYpXfGW2lxfgj05SAE6kDbiOgyc0nJSxp1C88luClcV4Q8JJGHY0qeNOp3TdbAKVJSQOPYrcWa+TPePRBglcrl1LycpvKFn5DXEDD6b3pD/ietD5uQdQ5ngLKXNcRGTXuI6NawcpWDSdhCGH4wmJwK6twBsa9fNFh1VfC851XVzHxq4pp7Z4M5VbV5E/9z2qtq4iIn0IA8/9Ny78vJzN7dQXJFOnwosvmmXeJ50Egwa1bL8+feCee+DUU01AfelS871XL5NtrlIq0hZcx6F84wJWTbsBAMvjo++ZfycyfQhZH91P0dLPd1jVYXl8JI6YQOYx11Ky8hvWvXUX4BISl8awK19i1Us3U7buJwCie42m/9kPsP6dv1KVt5bBFz/V0W+xRQ44AL7/vuXjn3gCDjkEBg/ecVv37rB+vUqqSPtw7GCDwBuY8khgzueagizKsuZjWRZR3fchPKUv1YXZbPz4AcrWz230mFE9RzJg6r/ae+q7rKTEfP5VtfA524MPwhVX6LNSdi/XdXACNVgeL9WFOWDXEprYg/y575A/770GZcwiuw8necxkEoYcQf78D8j68D4GX/I04cm9d+M7aHuBgPmMdN1tD6lF2ptrB3HsAJtmPkXhwo+xa8rrt1lePz0m3EL8kMOxLA+FSz5jw3v37PSY8UOOpPekP7TntKWDKKdFREQ6hOXxUl2wkaQRx9c3/fKFRePYATxeP7lz3iGiWz8iUvtjebyUrfuJQFkeli+U2D77kTxqIhU5S8n66H4Kl31OwuAjyJv9BsljT93N76x5JSXm+5o1JuCdmgpbt+58v7Vr4fzz4fjjITralGrYnm4kpC1YHg/RPUfV1xl3nSBrXv0dvU66nd4n/570wy6mYP4HVBdkARCR2o/EkSfij4wnf8FHZH10H3UZqXEDDsKxA1Rt3Va7sWz9XErXzSFp9ETKsxd12hqNa9e2bvyaNaapbmM2bjQrRo4/XueptK26VR5OoIby7EWUZy+hpnAjFTlLCIlJIWnUROIHHQq4rH7lNgJlDxKZOYz0Qy6k35R7WfvWnyhZ+U2DY9bVRu6s52ad2lrzoLmlgXGA//3PlEES2Z0sy4PHF8rWWa+SOvY0gtVlrHzumkbrHFdsXETFxkWUrv6BnifdhmsHCEvquRtm3fbqAuHV1fD887BsmVkNOWaMaWLt8+mhsrQf17FxgjWsfP5aqnLX7LA9/fBLSRx+DGUb5hPVfTibvnyyRcctWjqDbgeeQ1hSz06drCU7p+C4iIi0u7qs8bCkHpSunU3x8q+wa8rxhkWRdvAFWB4vITHJRHYbyJbvXyR/7rsEyvO3HcDyEttvPGmHXMCAc/9N9ozHSBx2DFG9RpE761VSxp7WaW/q4+PN95degvvvh4svNo37unUz9VBjY6GyEubONdnh25syRUvCpf25jk3KuNPY+MmD5udgDeve+hNbvh9A8uiT6XbAVDz+MADsmgqwvBQumUHWB3/f7igWSaNPpnj5TIKVxQ2Onz/3bfqcejdhKX067Xna2hrhfr/JfGvKCy+YXgIibculpiCL1S/fQqC8oMGW2uLNlGctYMu3z9F3yt/pd9Y/WPnc1VRkL2bVy7fQe+Id9D75Dyx/5nKq89ZheUOIH3QomUdfjTc0stOem3UsC7KyWrdPa8eLtAfXDlKy+nsCpXlYXh9r3/hDkw0A6xQunk5IbCppB1+AE6jBGxLeQbNtH45jAuO33QaPPw7l5Q23X3893Hyz2S7SHiyPlw3v/73RwHjSqImkjjudrI//SdLIEyhZ9S2BsrwWHzvvpzfpftyNbTld2Q0UHBcRkQ5gUZGzhA0f/oPa4s0NtiQMORJfdDIxfcay5rXfUbp21o67uzYlq76lbP1c+k65h4zDLsEJVBOR0peczx4hZdwZHfQ+WicQMAHuF14wGeTTpsENN5h6xBMmmACb42zLlPnqK3jkEXj1VZMtfvvtEAxuC9wpo0bag+XxkjxmMpVb11Aw//3616u2rCTrw3+Q9dH9JnjmDaHXSbcRkT6YzV893eAYqfufRVhCZqNLUMuzFwN06pv7/feHN95o+fjx45vPNs/N3fU5iWzPdR0C5YWsevEGgpUlTY6rzt/A6pduZtD5j9P/nH9TU7gRJ1BD5ZZVRHYfTq+Jd1C5aRmxAw/GHxFHefYSQmJT8EfE16/q6oxc1zSmbo2wsPaZi0hrWF4fFZuXk37YxZRvXEjFz5+JO5P705t0O+AcnGAtHq+/U5+fLXHqqfDOO41vKygw17xZWfDoox07L9nzua5LoCyP4l+snALA8tDtgKkULJpO/tx3yDjicgoXTW/V8cuzFmBZVhvNVnYX3WaLiEi7ch2bsg3zWP3yb3cIjAN4QiIIi09n88ynGw+Mb8cJVLH29T/8nOFmLkI8/nDKN8yrr7namfj9Jgje8+cVsVlZkJBg6hTfdBMkJZnAd0SEKdEQDMIrr5jg+OzZZj+/3wTF6wLjzWWrivxaruvSc8LN9JhwC2G/rG1qWUT3Gk2/Kf9HZOYw1r7++/oaqZbXT9rB55Nx+KUEK0tIO+QC4occieXdVk/EtQM/H6ZzXnYGg3D11S0f36uXOa+fbGbFrVZ8SNuz2PLt880GxuvUFGaTP+89whK64w2NIDSuG2mHXIAvIo7w5D5EZA6naPFnLHn8XFY+dxUr/nc5gcqiTt3g2uOBI45o3T6HHto+cxFpqbr2bhmHXYI3JJy8OW+3eF+npoLCxdPxhkZ06cB4IGCyxZsKjG/vscfggw90rSttx3VdXDtAwYIPd+ihAxDbbzwhsankzn4dAI/Xj2O37h9ga8dL59R1f8uKiEiXsf7dvzZ50+0NjcB1guTPf69Fx7KryyhY9DHJoycBYPn81BRvJrL7Pljezhd8cxx49lmTNX733XDfffDb35osuDpVVSZr9Y03TKb588+boPn775sbikWLzLjhw01zsRNOMMf16VNc2khdxkvi8GNJGnkCFZtXUFuUg+X1E5k5FH9kAoGKIjZ99TROsJaoniOJ6bUvSaMn4guPoWzDAio3LyMibSC9J/2BQEUhOTMeo3Dxp4TEdtvN7655Ph8cdpj5+vLLnY//05+gtNSUSmrKiSeqaa60nbqGfoWLP2vxPnnz3iNl/BQKF02ncPGneMNjSdznOLodMBV/eDRbZ71KoNQscQiUF7Dxowfoe8bOm4/tLj7ftia4y5a1bJ9rrgHbbn3ZJJG24LqOaclhWeTOfoOUsac26MnREpW5a0js5CWPdsbvN6siW+rf/zbXuSK7ynVsqnLXENFtADWNJGgBxA08hMqtq6nashKAYFUpIbGprfp7WjteOifdVouISLtx7SDFK78mWFHY5BjLF0LRspnY1eVNjvmlgvkfkjLWdMOzq8qwvP5Ou5zN54ODDoIDDoCnnoJbbml+/CuvQHi4aST2wAMwc+a2bdnZ8NFHJkj+8ceQkqIAubQxyyJYXUawshhveCyuHaB4xdcEK0uIG3Ag3Y+6qn6oE6ihcMln5P74Sn3DToCwxB50O+g8ek28A294DKHxmbh2sFNnvtk2vPuuaaL57beNj7Es+Pvf4Te/Mc1ym2oMGBNjxigwLm3BdWxcx6EiZylOoOXdKGuLN1FbspWwRLN0ya4qIffHVyhePpP+5/yLflP+zvL/XY4brAGgZM2P1Jbl4Y9K6rSfp8Eg3HsvnHyyeUDcnJNOMuWSRHYry2Lz189Qun4OKWNPxd35Hg39nEnR2T9Dm7No0Y49dZrz6adQWGhWWorsCsvjJXfW6/Sa+DssT+Pnjy88ltqSLfU/F6/8moRhx7Bp5lPwcxPsnUkccUKXPkfF6HwpdiIissewvD6Kln7R/BjLS23xplYdt6bEPP13HYeYfvsT3WNEp24m5vWawNrvf9+y8c88A8uXw5VXNr590SKT5VpR0VYzFDFc12Hl89ey5pVbWf3STax59TY2fvxPNn/1NMuevIhNXz0DQPaMx1nwz5PI+vAfDQLjANUFWax/5y9s/eFluh99DYkjJnT6G4a68kZffgkvvggHHrhtW0QEXHQRzJtnyiFde61ZDdKU++5rfW1kkeZU5CzBDda2ej/XDmD5Qhq8VluyhTWv3EZYUk8Shh613WCHoiUzOnVpFZ/PlDR65pnmHz6dcIIpT7azALpIe3HtINX5G7BrKtj6w8sEykwD3fCkXq06TnhyL7NvJ77G3ZmcnNaNd13Ia3kvRJEmOYEaipZ9SU1RDlGZwxod4zqBBqUA8+e8Q0h0EvGDWlaXyxeZQMLgwzv9da7snILjIiLSroJVpc1ud+1Ak0/zm1I3vipvLanjTuv0y9kCAXjzTdiyZedj6zz6KEyebOqSN2bVKvjXv0wmnUhbcO0gRUtmUJ23rvEBHi9Jo04gf9775P748k6DdTmfP0HFpmWd+sHV9rxeE3w77TT45huTGV5cbEqo/Pe/MGwYTJ/edK3x0FBz3l5yiZrnSttw7SBFSz+npngT/pjk1u3s8eKLiMeuLtthU3X+ekpX/0DymEkNXg9WlmDRObPG63g8cPbZsH49/O53kJlpXouMhEmTYMYMU5IsJETnoew+lteHPyqRwoUf4wSqqS3eRHn2EpJGndTiY3j84SQMPZrCRR9TunYWbguzWDub6OjW7xMR0fbzkL1PsLIY164lf/4HxA85Am/Yjv8Y7doqIjOG1D9IrspbS/HKb+l+3I2Ep/Rr9vie0Ej6nv7Xdpm7dDxdMoiISLvyhjZ+hWt5/cQPORJvaBRRPUa06piRGUMB2PTFf9j6/Uu4nTw9zOttWB6lJWbONJlxvXs3Pea//zUZ6SJtwfL6yJvbdMesuP4HEhKdTN5Pb7bwiC65s17H08WyaeoyUsPCIDZ228oPrxeOOcY85Lr/flOyYeBA2G8/U25lyxa47LLdO3fZs1heH3lz3qZk1XdEpPYjPLX5G/XtxfU/EF94NCUrG68TlDfvPSK69ScssUf9a97QCNzWF37ocF4vpKXBn/8MGzeaskjl5fDWW6YuOSgwLrtXoKIYX3gM5dmL6l/Ln/s2MX3GEt5tQIuOkTTqJDwh4eTPe5+CBR92mQfNvzR2bOtKpAwaBN27t998ZO9Rl81dsOBD8HjpduA5DbYnjZ5IwtCj8IVFEz/osPrX17/7V2qKchhw7oMkjZmEJ+QX97KWh5h++zPw3IcITdA/1j2FLhtERKTduHaQ2P4H7fC6PzqZQRc8Tu9JfwCvl6juwwlrxVLT5H0nU52/gdK1s9j64yuNdh/vTDweqKlp3T5145srz5CTY8qviLQF17Gp3LyS6F5jSBh+HAnDjyO69771y7ljBxxI5eYVVOWtbfExi1d8hR2o7vQPsH5p+xUZrrutPIPHY2qKX3MNfPedOf9++AFuvBHi4hSQk7blOjYVOUsoWfU9taW5JO97Sov3Td73FMo3LmzyfK3O3wCALyqx/rXYgYd0mQBc3QOrX1IfDukM7BpT9861t32YFC37ksotq+g35f92GlCLG3gwGUdcRt6ct6kt3dqgJnJX4/XCBRe0fPzll5sVlyK7yheZQEhcGsHKYgKluaTuN4VuB5gAecKwY+hx3I3kzXmL0rWz6XbAVDyhkQA4tZWsmnY9Jau+o/vR1zD8mtfpNfEOMo68ku7H38iwq16h3xn34ARrWPncVdT+3NxaujZdPoiISLuxvD4Shh1NzueP1jfc9EXGM+Dch/BFxAFQU5AFCd1JP/RC1r7xR9hJ1lpk5jBi+owl64N/AGbJXNHyL4kbdFinzVANBqFnz9btUze+oKD5cao7Lm3FdWHYVS8REpPS4PXasnwK5r+PPzKB2rI8sLxYXl99I79mj2kHCJYXEhqf3l7TbjOuawJuubnw2GMwa5bJSO3Xz9T/HzzYBMkdx9QmDwRMZvmYMaaEg+MoOC5tq76MgmubGv7HXEv5xoUULvy42f3SDrmA6J4jWf3q7U2OqW+6+XPDv8juwwlPauUHlYg0yh8Rh+u6dDvwHKJ6jqR0zY+UrZvDmtd/z7ArpzHw/EfJnfUaBfM/IFC+7UIvPKUfyWMmkThyAsXLviT7s0cBsLwhTf1VnZbjQGUlZGXBbbeZ7/n55jN2yZLG9xk50qzAUkNraROuQ9KokyhY+DGh8ekULv2c9MMuJnbgIYQl9aBg4cdkf/owYUk9GXDeI/Q74/9Y89rvsKvLcGqrWP/uX8n5/AmSRp1ITJ9xRGYMwReZgOvYrHzxJsrXz/n5rwniOg6WLgK7tM4ZRRARkT2G5fHS/djrWf/OXwGXHsffjD8qgWBVKatfvoWK7EXEDTyY3qfcRffjb2Djxw+C23hdxciMIfQ94/8oz1pI4eJP61+v3LKK+MGHd9A7aj2v1zT0+9OfWt4g7MILTVbqsmXNj0tL2+XpiZjsNtehdM0s8ua9S3XuWlxcwpN6kzT6JFL2m4Ll8eLaQUbfPgMwjY5KVn9H3px3KM+a3+SxLa8fJ1CDx995u1Q6jokRXncdPPFEw8zxb7+Fc84xD6L+9jd46ilzc18nOhrOPRfuussEy3VTL23F4wvBGx6LXVVC3k9vEpbci14n3kZ4Yk9yZ7/eIKgGJrCWedSVRPcaTeHSzwmWFzZ57LoSLYGyPDwh4XQ/+lpcO9ilm4oFg+YB17x5pl9AcjKMGGEeZOm8lI7iOjaekDCq89eD6xI34CBSx51OdcFGtv74MrVlBTiBalLHn0XagedRuXUVTm0Vvsh4wpN7U1uaR87nT5D746vUJYxE9xiB69hdZmWH68JLL8F775lg95AhpklunaVLTY+OZ581JZHAlCp7/32t/pC2Y3m8JI+eRE3RJgCyP32IggUfkXnUlXi8IWya+RRgVlKtfvm39DvjHoZe/gL5Cz4gf9771BZvIlBeQPHKb/FHJZEw7GhqS7ey+uXf1q/msHwh+KOTcHE7eccO2Rn96hERkXZleTwkDD0KXJfN371AbL/x2DUVrHrhOmqKTAv74hVfs+GDe+k54Raiu48gb+7bFCyajvPzstTIzOEk7zuZ+EGH4joO69/9C67zi7oHnZhlQXq6abD5xhs7H5+ZCaecAjfd1Py4Aw5QXUbZda4dpKZkK6tfummHpdtVuaup3LyCxH2OA8tDyapvKdswDydYS0h0Mon7HMeAc/5FefZi1r5xJ8GKhsG40IRMQmKSKc9eRGT6kE57Y+/xwFlnwcsv77jtxRdN1vhhh8GcOTtuLyszN/kffmgaeaam6uZe2obrOCSNOJ6tP5h/mCUrvyNpxAkkjzuNlP3OoGTVd1QXZOENjyW27374oxLqz7GEIUeQMOQIKresJG/OOxQs+hi2a+iXPPpkyjcuwgnW0v+s+wlL6oULXfLmPhiE6mq47z7Ti2PTpm3bBgyAK66Aq69uuhSLSFtwnSBObTVbZ71Gwfz3Gzy8qruO7TnhFspzlhKR0oclT5xHXP8DCU/th8cfRnXhRjZ/9TTFK79rmCRieUkaM4mucnbatqn/Hx9vPlO//x7OOw9+/NGcq/36wcUXm6byv/2tOW9POcV8xgaD+vyUtuXxhZB+6EWAWc1Ytm42rh2kZNU3BMry6sdVblrKsqcvIWXsqSSNPIlu+59tEkcsC8vjNQ2rvX7WvHZHg2vl+CFH4PGH/3xfqg+Yrsxy3U4eUegkMjMzycnJISMjg+zs7N09HRGRLsd1HVMb3PKwcfq/yZ/z9g5jItIHk7rfGcQNOBjL68OuqcDyheDx+glUFOGLiAUXNk7/F/lz363fr8eEW0gYfmynLati/3yPU1JimoU1tZwUTObpjBnQrZvJtCktbXrsSy/BqacqI05+Pdd1satKWfbUxQ1uEsAs407d/2zSDzmfwkXTyZ7xKMHK4h2OEd1rDD1Puh0nUM3K564iWFlSvy3jyCtJHH4sRSu/JnH4cZ3yHA0E4JNP4KSTdty2774wezacfjq8/vrOjzVqFMyd2/ZzlL2T67oESvNY8vhU/NFJDLn0OUrXzmL9B38ncciRxA89ktC4dHwRsQSrSsmf+w4FCz+mtjQXy+sjusdIkkafTGz//SlbP5e1b9yJU1tJZMZQBv7mEWrLCvBHxhGsKsMXEQNY28qtdBHBoPmc3Nln6xFHmAdYfr/KH0nbcx2bQEUhq164vj7xozGJI06g5wm34Dg2+T+9RfZnD+/02Mn7nkL3Y67FdR0sq/P/4w0EzIqr0aNhyhT4uIkqUL17m229e0N2tmmCrdWQ0h5c28byeln25MVU5a5mxM0fsWnmU+TNbvzCzvKFEtNnLP6oBFzHobZkK4HyAoZc8jQrnr2KipyfP2w8XgZf+B9C4jPw+EK6xPkpTdP/PRERaXeuY+PaQVzHxQ0GKFw0vdFxlZuWse6tu1j8yBQ2vP93Nn/zHAULPgKgcNF0ipbMwAnWENFtYP0+ntBIEoYd1SmDbnXqstU2bTKZpZdeCpGRDcd4PHDiiSazZsAAmDCh+cD4BRfAmWcqMC67yHXInfVag8B4aGIPMo++mn2uf4v0Q84HIGH4MfQ7814SR5yAxx/W4BBl6+ew8rmr8YZE0POk3zU4TtLIE8hf8AH+8NhOG3Tz++HhJuITV1wB69fDm2+27Fjz5sFXXzUsyyLya1mWhT86iZ4n3U6viXfgBGtY/87dOFWl5M15i00zn8QbHk3xym9Y/MgUNn/9jMlocx3cYC2la2ex9vU7WDXtRiLTBtHn1LsJ7zaQPqf/lZrizfgj4wDL1El1nE57jjbH54NJk5oPjAN8/rk5nxUYl3ZhWax+6ZZmA+MABQs+YMt308B1SBl3GmmHNN+pMnHECWQedRUla37sEoG3QAAWLoQDD4SJE5sOjAOsW2ceam3aBIsXmxWW113X8vKDIi1leU1ZwMQRxwEmm9y1a5sc7wZrKFn5Dflz36Vg/vsm2/znPjuWz193UHqecCthSb3w+EI79fnputsStWBb/xxpqPP+HxQRkT2C6zi4doCV024Ay6J07Syc2spm9wmUF1Cw8CNyf3yFjZ/8C8cOEpbYg7w5b+MNCSc0PqN+bPLok7E8/m2NyzqZYNBk0AD8+c/mRuHRRyEnB557ziwnffxxWLvW1GaMiTE1jE87DRISdjxeQoI5ztNPd/pqMtIluOQv+LD+p24HnsvQy54jfuhR5M15m1Uv3siKZ69i7Zt/JFCWT48JNzHksucIS+7d4Ci1JVvI/uwRYvvuR1hiD8KSetH/zH9QW5pL3tx3iek7vtOWVKmshOmNP69jyhRzrrXmJuLxx7UsXNqO5fEQP+hQItMHkz/vXZxAdd0Wehx/CxUbF7Hu7T/jBpu+0S/Pms+a139PdK9RDDzvYWqLt7D8f5ex7q0/gQW+8JguGTW2bdM49+uvWzb+hRcgL2/n40Raw7GDlKz81tQYb4HcWab4th2oIXX/qYy46UP6T/0nEZnDAPCERJAw7GgGnPcIPU+4hfx577Lm1dupLtxoVmF2Yn6/yf5+9VWYOXPn47duNde0J5wAvXrBv/9tSq2ItDnLInHECXjDoghWlRASk9qq3f0/N6u3q8qJ6TueAef8k4QhR7D+nb/Wn9OdTd2168aNcMcdcNxxcOyxcPPN5r4TGgbN93a6dN+JadOmMW3aNPLz83f3VEREuiTL42H9e/fhj0rEAoLVZTuMCU/pS9KYk4npPRZvaBROsJqqravJn/suJWt+NMEAy6IiZwmB8kK8oREAxA06lPRDL6IsawHRPUd08DtrGZ8P7rkHIiJMzcWTTjIX/pddBkcdBWPHmkZ/n35qgmpz55rGnbfear5efhkWLTLHGj7cZIvX1Uztgkl+0snUFObU1wlPO/h80g4+n01f/Y+t37+IawcajC1ePpOQuHT6nPInBpzzICueu5qagqxt21d8RaCimD6n/YWQuDSq8zew5pXbiB9yBFYnLvRbVtb4g6bISPO1enXrjtfa8SJNcV2HmsIc7EAVkd0GNFh1FdNnLGEJGWx4768Naok3pTxrPqVrZhHTe1/WvnkndlUpxSu+Ju+nN0kaeZJ5eOXtWgFyr9c8bG6pQAD+8x/z2aoHWNIWXNfF4/WRt12pv50JVpZQvHwmMX3GUbR8Jh5/GDF9xjHovIcbNN0sXTubNa/9jpJV3wGQN/tNMo+5tl3eR1tKT2/defnSS3D//ea8vOUW+Oc/4YYbzHF0nSu7ynWc+rrhuA59TvkzJau+J2H4MWz66ukWfX4CJO5zPHZNBX1O+wuhcd2o3LyCVS/fQvmGeRQt+5yQ2G7E9T+w0zS1tm2ToHXhheZecvskj+nTzXl28skwbRqEhuozERQc36mpU6cyderU+prjIiLSOoGKQopXfMPQK17AxcIXFlO/zRcRS6+T/0BM730JVJUQKM3Dri4H1yUsqTd9z7iHmuLNePxhhCX1xPL4sKvLcAK19Dj+JhJHnkDR0s8pXfsTMb1G7cZ32bzp000mzX//C2PGmKZ+v/+9+WrMH/9oxp93ngmeT5xoXnddk5WjmwVpK87PAfDI7sNJO/h8cr74D1u/f7HJ8bXFm1g57QYGnvcwvSfdyfKnLq7f5toBild8RcKwo8n5/AkK5n9AaEIm6YdeSGduJBYdbc6pXwbI60qjtDaurxsMaTsWeXPeJP3wywEIlG1L1kkadSKVW1ZRkbO0xUfLm/MWsf3Gk7rfFLI/fci89tNbpIw9rW2n3YGWLWvd+KVLdY5K26krRVSdt7ZV+1XlriWm91iyPrrfHMfjI27gwaQfdgn+6CTWvvlHSld/32Cf8uxFXaL0UWkpfPddy8dXVcGXX5qSgxddZBrXf/CB+XMnfq4uXYUFgfJCAqVb2fzNc/Q57W58UYmERCcTP/AQipZ9sdND+CITiB9yODWFOZRnzadg4cdUbl7eYMyWb54nftCh7fUuWs11TbnOzz5resw778CRR5rzT5+LKqsiIiLtyHVs8ud/QK8Tf4svIhaP10t0n33xhEbii4hjwLkPE5k+hEBlsalJ/HMTTheXkJhk7EB1fYOTkOgURtz0ISFxaURmDiF24MHkfP4E69/5K97QiE671LS21jy9nzbNBMU//BCGDWt+n5tvhksugdtuM0054+PNV115FpG2EhKdBFikjJlMdUFWs4HxOk5NBdmfPkxEaj8iuw9vsC1YWYxdXUbeT28R239/Bpz7byyvv1Pf0EdEwDHH7Ph6TY2phTpuXOuON26cajlK27Asi6r8DXj9oeZnX0j9ttCE7pRnLWjV8erGxw85ov61mqIcyjcuwq6tMhl2XUxrf7V04l9F0gXZtdU7H9QCrhOkaNkXLH/mcmoKs+lzyl0MOO8REoYfV3/eu3bnb2Zh21D9K/6TVFSYWuW33AIjR5pAuc5V2VWu42DXVBASnUjhss/JOPJy7NpqPL5QXMemx4SbCU/u0+wxPKGR9D3tL9hVpax8/hqyP3uEqq07LhGsyl1NxablneJ+NBCAZ55pPjBe58cfTTkj9cpRcFykgV/WLO6sNYxFugrL48XyeIkfcgQ1RZsA8Hh9ZBx+GYMueIKQuDQ8IeFU5a5j+f8uZ9l/zmfVtOtZ8b/LWPzwFHJ/eBnLF2pu2l0by+uhLGse1fkb8EfEkTjieMKTexM/+LBOW4A7JATi4kygbfNm8+fvv4cHHoD+/beNq2vI+fHH8I9/mLdz7LHwww+mRmpRkXm6r5sFaUu+iDjihxxO3MBDyJvzdov3K1s/l+qCLJJHT2rwujc0AsvrY/g1r9F70p3m4VYnrTVeJxCAK69sfNvTT5sVHJGRZtnpOeeYB1xz58JPP5lGnRMnNizXfM01HTNv2TtY2626iOk9Ztvr3hCcZhqKNcYJmpUi/sh4vGFR9a8HyvObrVneWbmuCaS1xsiRCgJI23AdG7umHICwnQTYfik8uTe1ZTsWwLerSln9yq1gefCGRdPrpNsYfs3rJAw9mpC4tDaZd3vyeiE2tvXN4lNTYcMGePBBGDwYTj3VXDerHrLsGqe+LFHi8OPwhcew8tkrWPLomax++bc4doABv3mYpNEn4wkJb7ir5SGm3/4MPPchwhJ7ULZhPkMvf4FRt37KqNs+Y/h1b5JxxOWExKXX71K5ZUWniB/5/a0rbfTEE12y7UibU/K8CKZeXLCqhPw5b1O8/CuC1WV4w6KIG3gIyWMm4YuI69RZbyKdWXTP0VTlr6ciZxlhiT1wgkGSR0+ktiyP6vz1ptZir1GEn3EPBfPfZ/M3z+PatQTK89n89TMULf2cfmc/gMcfguXxEdtnPzZOf5DKravpfvS1DDjv4foa5J1NMGguNi6/HEaMMEG088+HQYPMctEbboB168yS0tRUSEw0zcUeecSMO+YYs7T07bfNsfr0gXPPNZmuoAsZ2XWuEyR1vzOxvD6KV37Tmj0pWfktcQ2WkFrEDTgIX3gc1s//ODt7YNy2ISvLnJtnnmnqMm7vP/+B22+HV16B/faDpCT4/HPzgMvjgdGjzbLUDRvgppvMw7C+fXfPe5E9U0hsKq5jU1O0iaTRkyhc/CkA9q9oKBYSk1z/Z48/3JQxwwTau+KTV9c1D6OeeKJl48PC4OKLtXxc2obl8RISnURNyRaSR59E2brZLdrPFxFH3KBD2fTlk41uD5TlUbzsCyLSB7PksXNIO/g39Dr5Diq3rsG1g52mpnFTQkNNcLvu87RnTzj7bMjIMD9nZ5vVlBs3mp8zMuCww+Da7cqpv/mmaR742WcqrSK/nuXx4TomeSoitR+rX72dmsJsAMrWz2HJo2fR4/ib6X7MtWQcfiklq74jUFGIxx9ObL/9CYlJJlBRhDcsiuheo8lf8AHVeevBsghP7UfiiBNIHX8mubPfIPuzR6ATZI2DObfmzWv5+LVrTX+rEZ2zfVeH6dy/WUU6SN5Pb5A947EGDRkCZXlsyVvHlu9eIOPwy0jd74zdOEORrsmxg0R060/2jEeI7XcAYJr25c15i8pN2wqFhiX2IGn0RFLGnUFUj5GsfvU2nJoKAKoLslj7+h0MuuAJHMemtmQLmUdfw/InL2blC9fSf+o/iUjpt63ZSifi85lSKn/4gwmkrVwJzz5rtv35z6Z8yvDhZtyMGfDcc3DggfCvf5nlcH/6kwm6be/mm+GCC0zmudermwbZNZbHR0TaAACcmspW7WvXVODZ7sFUTJ+xhMR2a9P5tTfbhnffhYQEeP5584DqiSe2ZZZu3GiWnJ5wgnn9/vth1aqGxxg92vQPeP11s5/j6MGVtA3XcUgafTIVm5YRGp9OWGJ34gYfRvGyLyle+Q1pB/0Gb1hUfZB7ZxJHHI8TqMHjD90WGPeFENV9GN6QCFzcTtwdYEceDwwdas7PDz7Y+fjLLjOrt0TaSqCiiPIN80kYfgxhSb2ozl+/031Sxp0OrkvBoo+bHJO/4EMGDDsajz+M9e/+lUBFESnjTu8SyVrBIFx3HaxYAXfdZc7P8nKTDAIm0eMvf4H33jM9dk491XwWZ2c37P/x1Vfw5JPmgVZrM9FF6vgjYnEcm0BpLqWrfwAgIn0wyaNPJjJ9MB5/GDVFOdi1VYQl9yEibSBYHvzRSZRvWk5ESh82fHgfhYs+adioftEnbPrySZJHTyTjiMvxhcfgj07Csnb/jVlRUev3KSxs+3l0Nbp0l72a6zrkzX2X7E8fbrpTsWOTM+NRcn96q1PUkBLpSjxeH5bHS2TmCKJ7jGTdm39kw3t/axAYBxMAz/70YVZOu56w5N70mfwnsLZ9RFVuXkHp+rlYgC88lkB5AUn7TsKprWLtG3eCZeHaNm4nLK2Smgq5uSaI/cgjpnb4b38LS5aYAPnpp8PkySb77X//M4Hx++4zAfBfBsYBKivNcY47TnWNpW15w6NbOT6m/iGWNzSKzKOu6hI1UX8pGDQrOZ54Ah5+2Jx3dTf0DzwABxxgbvQvv3zHwDiYEiunnGJqNno8CoxL27E8HiLTBlK07Ev8kQmUbZhHr5N+R9zgwyhY8CF4PCSNPLFlx/KFkjRqIq5jU12QVX+THz/4CHzhsV32H65tm5UdBxzQ/LjTTjMPtzrhZYJ0Ua7rUFu8mYRhR2NXldJ3yv8RGp/R7D6JI06g2wFT2fL9NOyq0ibH1RZvBkzjeoCcGY9Rnb++S9yL+nwwfrxZYdW7t6kfnpZmShqNHGn+fOWVMHCgKR14222miee775rVk+nbqlTw2GMKjMuu8YSEY7kuBQs/IjQhg4HnP8ag8x8jqvs+lK6fQ+WWVXj8YYQn9yY8qSf+qCQqNq/ADdYS2a0/a167g4L57zcMjP/MDdaQO+s11r1zNwnDjia656j6lZO7U3x86/dJSGj7eXQ1u///nMhu5NoBNn3xnxaN3fTlf3GDO/5SFJGdSxh8KNkzHqV4xVfNjqvctIx1b91FTJ+xxPQZ22Bb/rx3sTxefGFRlK6ZRcLQo/GERhIozaV45TcEq0s75V1vTIy5MfD7oaAAFiwwgbeZM+Ggg0zwPCPDBMi3bDH77LvvzrPbvvgC/vpX1U6VtuE6DvGDD2/5DpaH+EGHUpa1gJCYVPqffT++yAQqt6zCdexOUXOxJTweU/vftuHqq81KjrffNiWP3n/fvPbyyybwvTPXX28C5batOqnSdlzHJv3QC3HsIOGp/SldN4c+k/9En9P+SnnWAtIOuYionqOaPYbl8dF70h/whUVjV5cRltiDYVe/Svrhl9LtwHNMU0GXLpU1XsfrNeVSvvjC1Fj9ZcPrAw+EF1+E114zWaldIPFWugyL0IRMyjcuYtnTl+EGaxl4/mOkHXw+/qikBiMjuw+n96Q76XnCLeTNeYst3zzX/JF/XgnpOnUXeS65s9+gq5yltg2ffAJjx8JTT5nEjjoVFaZk2Zgx8OWX5rUTTjClVVJSTPP5bj8vQlu0qPFEEZGWcB0bX0SsKUXkuAw87xG8IRGsfuVWcr78L/FDjiBu4EFUF2Sx5btpbPrqaYqWziCu/wFYvhCqC7Ja1Pi6eNmXFC7+DKeTJIh0725WNbZUnz4qqQIKjstezLWDFC6aXt9IZWec2koKFn3cJbPiRHa3YFUp+fPeb9HYsnWzqdy8YodGf9V5Zj1mbUURvsh4vCHhRKSY4r6Fi6YTEp2E63auiFQgYMqobN1qfn7wQRMg79fPZIZ/+63JKt+0yQTkjj4aDj7YBOjef9/c8DfnPy17tieyc5ZF8pjJDVZsNCe233hCYlMJjU1j6JUvEprYg8qtqynPWUxN8SZqS7biuk6nz3Lz+Uwj3Lob8cWL4aqrTHmVqVPNQ61//rNlx3JdM9brNSWUtLJD2oLl8eLxh1Oy4mtqS7YQ3X04+Qs+xBMaUZ+l1v/Mf5C6/9l4w2N22D8yczj9zn7AlDbzmKXitWX51JbmkjLuDEJiu+Hx+XCCtZ2uNFlL1ZUYu/jibcG0RYtME+xvvjFlG6DLJsdLJ2VZFr7wGLZ+/yKB0q2seO5qipZ9Qcp+Uxh29SsMuuhJBpz3CMOufpWB5z5EeGo/Nnz4DzZ+8uBOjx2ZaZ7y1PycQQ5QtGQG0PmSQLYXCJivZcvgjDOgurrpsVVV5txcs8as/jjpJLjnHvO5/OKL28YVF7f7tGVPZXkIjc/AdV1Sxp1KbVkeK567Gn9UIn0m/5HyDfNY9dLNOMEAKeNOI/2QC0kccQI4DhU5SwmNy6DvGfdgeXe+fCFv7tt4Okk/gOYazTfm8suVbAWqOS57Mcvro3TtrFbtU7rmR5JHn9xOMxLZ87h2EBeXggUf4dq1Ld4vb9679Dj+ZgZd9CQFCz6kcNF06rJlKjYtJSw+EwBPiKl3HCgvAKByy0qiMoa27ZvYBX6/WRJaUGCyaEpK4KijzM9N+eYbmDDBZJZfdx38/e9Nj9282TQrOuYY3fTLrrEsC390EhmHX0bO5481O9YXmUD3Y2/AdWwiM4fiug4Vm5bhBmtJHHYMvohYXMdhy7fT6HbgOR30Dn49yzJlje64Y9trgYD5ecUKs8y7pV5/3Zzzzz9vloyfe67OTdk1rmNTsvp71r39Zzwh4fSefBcJw48D18GurSRQmo8vMo70Qy8m7eALKF75NYHSXCyvn+jeYwhP6oVjByhe+TWla2djWRbhKX1JGHY0luUB16G2NI/CxZ/S7YCpXTJAbtumv8c995jP3TFjICrKlGrIz4cjjjCZqSJtrbY0l9K1phGnXVXKxo//Sc7nT5Aw7CjCk3vj8YXhBKvxRyWyatqNBMrzW3Tc5NEnU7JmFoHS3PrXnEAVTm0V3tDIdnkvv5brmofBjgPTp5tz7e9/h5qane9bVWXKHf33v6Y8We/epvbx4YebVZQ//aRyD/LrWZaF5QvBsYN4w2NY9+xVhCZk0uP4myhe+R0R6UPoN+hQcKE8ZwnFy7/CtWsJje1G4ogJePwhRPUYQeYx17Hxo/ua/bsqshcTKC/AH5XYQe+uaX4/nH8+vPqqOSebM368aYarRtUKjstezgm04FO7wfhmHn93IoFfVH9RrTbZXSyvDwuoyl3dqv2qtq7BsiyCFUVkHnkl6YddQvHKbwAIlObVZ4w7tWadpscfCoBdXY7rOLtU7+0///kP5eUtW1HSnFGjRjF+/GEsW2bRt6/JarvrruYD43VmzTJZM5dfDv/4R/MZqJs2waZNW3j11RebHtRCUVFRXHrppbt8HOmaLMsidfwUPCFhbPrySezqsh3GRKQPoffJv8fyeFn5wrXUFm+h35n/IDQ+nRXPXIFdU0H8oMPodtB5pO53OoWLp5Mw9KhOHXDzek3N00WLTAkVgBtvhCFDzAOo5cshJMScu2+9ZRqE5eY2fqzaWrNPYqKpY967N+y/vz6HZRdYHrI/e5SoniPocewNhCX1pLpwI+VZC3GdIKFxGYQl98QN1lKevYSQmFQiUvvj2gFqijZTuWUV8YMOxRsaReGi6fUPqnO+eILkMZNJP/RiQmK74dRWderztCm2DW+8Aeecs+3697XXGo554AETrPvtbzt+frLncl2Xyi2r+GU2t1NbSf7cd+t/9oREMPya10k7+HyydhJgA4jttz+RGUNY89odO2yzvCG7PO+25DgmOP6nP5kHw9deaz7zfnkONuell0yA/KmnzGfsFVeYcoRvvQVnnWVKRIj8Gq7rEijNxRMSTkXOEmqKchg48Q6cYIC4AQdg11RQW7IVjy+U6O7DCYlOIm/O2+TMfJJNM58ifvDhdD/+RhL3OQ67oohNXz3V7N8XrCzpFMHxOu+9Z1ZUTZu2472kZcGkSfDCC+Y6WBQcl72cL7J13Qr8kZ3nl11jbNtcoLz9Nsyfb14bOtQ0/PN49ItPdqNfuQo05/MnCFQUkrr/WaSOO51AeSFefxiW5cGuraJyqwm6x/TeF7u6HI8vZJcboZSXl5OdXURp6a7VRMjMrCYYdAGLu+4yy0JffbXl+z/6KFx4oWm8+eGHTY8LD4fS0iqWLm1B1L0ZMTEeMjN36RDSxbmuAy4kjTyJxH0mULTkM0rXz8EN1uCPTiJh2LFEpg+iKnctq168kZDYVLod9Btqy/KJThxF3zP+j6wP7qVw8XRKVn1H3zPvJbbv+C5T5Pell0xTv4UL4W9/M69t2mRqotbUQM+eJpv8j380AfLrr9/xYTSYQHpNjflMvuce+OijjnwXsidxnSCl6+YSntKH3pP/SEXOUrJe+CflWfMbjAuJ7UbyvpNJ3W8KBQs/ZuX7f2f7D96C+e/Tb8rf6THhZja8Z/5xO7VVbP3+RWpLc+l98u9JHDGhA99Z23Ac0yT33HMbPxe3d+utpmTZUUfpYZW0oRb0unFqK8n+7BF6nnALwaoSNn353ybHRvfel16T7qR4xTeUrPquwbbIzOF4fJ3rH6/rmp45771nfu7e3TxQbknWeJ3KSli9GjIzYelSs5LrpZdMzfJp08y5rXO2fQR+8YvTv4f9h3adICWrfyR5zEQKFnxMjxNvJzJjCCWrvyd39puUrfuJus/KiLRBJI+ZRMZhlxDTewxrXv8DhUs+papgAwPPfYjUA6fiDY9qtiySpxOt6vB6zeX3c8+Za9rHHjN9rxzHxIeuvNIkcNi2YkR1FByXPZ7r2FgeL5VbVxOsLMEbFkVEt/7gOCQOP5bCRZ+0+FgJw4+tP15n9K9/mSzTuvrGda67znz9/vfmIqaLxClkD2HXVBCW3KvZMd6waLxh0bjBGgIVxYQlmfGBigKCFUXkfPYItSVb6X701cQPPgzXsSlc/ClObSWW10/iyBMoWj6TxH2ObZM5l5Y6ZGfbhIVF/epj5OTUEB3t4dxzYcoUU0O8udqLvzRnjllaOmxY08Fxvx+OOsrhhx/yyM8P/9Vzra4uV2B8L+e6Zk30pq//R/ohF+Lx+YkfcjiJI47/ebtLRfZiVr96O5bHR98z7iE8uTfVhTnUFGZRtn4uEd0GMPjip/6fvfMOj6Lq2/A9szW9J4SEEGroHWlSBQWliagUlWIHwfra9f3s5bWCil1QsSBdqSJd6b1DCOm9920z3x+HhAQS2IQAC859Xblids5MZiVn55xfeR4KEw6QtPZzTs57jtYP/Yg1Lw2jd8hFJ64uJWW3NmWKeEauXQvPPSdauivi6yuqcF5/XRgYDR9eOSjXoAFERIiAHYjNfUKCVvmmUVskStJP0mjES+Qd/5tTS16DKsxurXmpJP01i+KU4zQa+RKW7EQy9/6BzuyJYrNQmHiQhNUzaXjLf0j9+wcs2Qnl5+YcWoNP0x74tuiLqipCauUq4sMPRceGM7z3HgwZcmnvR+PfgyRJuIU0dmps1r5l6EwehA+cgk/THqTvWEDO4b9OdyVLeEV2IqjzCHya9SI/ZruY62dVlgR1HonqsAtzQRfAbhdzqiwwDuL56US+4BzO3p/+84+oGq94bY26w+FwoCgKv/32G4cOHUKSJDp16sSIEUI+VneNREslpHJTW5/mPfFvM4i4P94ha/+5VQvFKUeJ++Ntsg6sosntb9JoxEvELHiRktTjJK3/ivCBUwjqfCvWgkzS/pl7zvnmwIaYfEIu+XuqCWVr27AwePXVM0HwilXk18g/dZ3gGp+sGhqXAFURZdTpOxaQuWcplpyk8mMGryAa3Dgd36jemAIisGTFX/B6Jr8wvBt3uZS3fFFMmwaffFL1scxMeOklkZWfPfuy3pbGvxxVcVCanUhA+5tJ2fhd+QIFQNIb8Ws5gKDOI/Co37L8dVthNqrioCBuL/ainPLXM3bMx7tRF7wadUHWGcjctRiAkB7jMHj4o1hLKNMlrwvMZk/69Zta6/NNJgmbTeXrryUyM0VlTE0pKRGV4dUxahQEBclYrS3p169Zre91/fpPgZJan69x9SNJMrEr3yOg7WBAQnHYyY/ZgbUoB53RDc/wtng2aEsDr+mYfEPJO7mNhNUzKIzbc+Yisg7fZj0J6TGOZuM/5NSi/yNr/woCOw5HVR1IV4kP/G+/CTNORxX+vrm5Ihiwe7dIWr33nkg+l/Hgg1BUdKalXFXF2PBwLTGtUQskGc+IdtgKs4hd+maVgfGK5Bz+C/f6Lah3/QTq97uv/HVbUTZZ+1ZiK8kjsNNwktZ8Wum8jF2L8W99g8sb6J6N1SoqS51l7VqIjYXIyEt1Rxr/Nky+9fFs2LHys7Aa0rfPw+QfRkD7W4i4+Skibn4SxWZB0umRdQZK0mNIWP0xmXuWwVkG8x7hbfBr2c+lCrRkWXQ5ViQ5WWiOGwwX7uYow2SCJk3ODYT/8YeoJG/RQvPuqCtUVUVVVd58800+/vhjss7Seqxfvz5PP/00j1Zc2FzFqKjl0pv+rQeRvOGbKgPjFSmM20Ps0jdoMvp1vCI7UxC7i+z9Kwnr/wDF6THU7z0JVEjbUvnhE9hpBKpiR5JdL8QqSZWD4Np8qhrtf4vGNYmqKqiKnRM/PUHS2lmVAuMAtoIMTi1+DWtBJo1v/b8LtsDIRncajXqlUmDPVbDZxGKiusA4CO3TJ5+EG26A+Pjz6xdraNQlkqzD5B+OwcMP/3aDy193C25C64d+JHLYs9hL8jm15HVO/PQEJ+c9R87R9ejMnng2aEtg55GVrpexcyGyTk/69vmUZJwipMc46veZRMbOxQR2HAouVPFmsagUFiokJKhs3Qr169fsfJNJmBDl5lZ93M9PaJiXlKg0bnxttUFqXF5UVcWal0Zw51vxCGtJ8oavOTDjNmIWvETiyg+IW/oGh2aNI3recyi2UhSbhZRNc84NBigOco9t4vgP08mL3kKjkf+lMPEAOqP5qgiMq6rovLrnnqoD4xVZu1bMvwceEM9YEBXjDz8sWliLiipfV0OjVigOPOpFkbF7idOm1hk7FyLpdGTsXsLxHx8l+penyTm8jqBOw9GbvAhsf27pdFHiAWyFWVdd1XhqauW55gxHjlyae9H4d6I67NTrMQ5nijNkgxveja+jKPEgkiRRknEKSdZjK8gi+rfnOfL1ZKFVflZg3DOiA03vfPcSvYPaoSjiOZiQUPn1uXMhKEhIrTjLHXeINe1PVVjnfPKJlliuSyRJYsKECbz88svnBMYBkpOTeeyxx3jiiSeuwN3VPZKsx7tRFxS7DcVWSsaOBU6dl3d8MyXpJwnqLCrpHZZC8k78gyTLSDo9Yf3vJ6z/g+Xj3eu3IrDjMJcMjGs4z9W1AtLQcBJJkon7410KE/ZXO0Z1WIn+5T8YfUKImvAZHuFtqxznEdaaqAmf4hbUyCU/8AwG+Lga6augIFEpnpQkWsAjI8WmoGxj4GxGX0PjYtAZ3VEUOw1uehTvxtdhDmxIs/EfYS/O5dCs8Zz89RlyDq2hIHY3edFbSFw9gwMfjyJj5yIibnqMoK63lV8rP2YHtuJc3EKa0HrKT4T1fwB7aRH+bQch6QxILrSCdneX8PaW+fhjiY0boU8foVl8Nj4+QvutQ4fKAfTRo0XVeFV6xaGhwn08IADmzJFo0cKkuYxr1B5VxVaUjTmwIdE/PUnalp9wlOSdNUYhP3oLx+ZMoTj1OE3ueBO9h3/Vl3PYiF3yBpa8FALaDBIvXgVlKooCn37qvETDl1+K75Mmiefr2rUiqP7qq5XHtW2rbe41aomsQ9Lpydq/0ulTrLkpFMTuwegdTGH8PvJjtpP450wOzLydjF0L0Zk8Ceoy6pzz7MW5qFdZJufsjxVZFl0aUVHieVrVvNOelRp1iaTT49WoC+GDHuF8AXLZYKbx6Ncwegejd/fFmpeGzmBGcdgweAXQ+Nb/EjHkSdzrt0Tn5oPewx/fqN40Hfseze/6yOW6OhwOUXB1NocPC5+OJ590bq4ZDPD440KCLDr63OP79mnPz7rCZrPx3Xff8eOPP15w7IcffsjKlSux212vMLAmSJKE0ScEVXGQdWDlaRkj58jYvQSfZr3QufkAogNL0psoSj5CcepxQnqMxa9lf7wbX0ezsf8TqgUaVzXa8kDjmkNVVWyFWeQcWXfBsaUZpzg2+2GiJn1B1D0zKcmMJefwWhylBehMnvi1GoBbUCOh7+ZCbWwVSU8XG/KziYgQr3t5Ca3x776Dignitm1h6lS4/37x81UQt9C4ShEBa5nS7ASa3PEWjtJCbAXpHJ/7OIql6pIvxVZC4ppPUB02wgdOpTBuHyXp0YCKvTgPr8jOKHYLiuJANhiRZJ3LVbw1bWpEUWDhQli2TGwkpkwRpmAA118vfr7tNmHgV8bffwvTlMceE5JIHToIrXKbTWgc33cfjBkj5vPAgaKy/KGHJBo1MnDihJbx0qg5kizjHhpF0prPMPqG0qT7GPTuvqiKHUt2Epn7llOUeAAQJn4n579Im6m/ENhxGKmb51R5TdVhJWPnQhrcKFpzXSlxVR06Xc2kx7KyRNv3Y48Jk06TCaZPh4yMM2P69RPt4hoatUGSJBzW0nOTVRfAmpeKW3BlLWTFVkLin5+gOuyED3qEwri9lGTElB+Xje51cs+Xk9BQUQgiy3DvvULWKCLizPHjx8XzdPZs8azU68UzVUOjTlFVgrrciltwY9K3zSPv5DY4HcyW9Cb8WvUnpNudGH1CsOalYfIP5+SvT1MQuxsAvbsvTce+h3+bGwnsOKzSpQsTDxK75A2QZSKHPXfZ31p1SBKYzVUfe+kl+OsvsfecNElok1eFwQA//gjt2kFhIcyYIeZrxe6Oqyxf59IYDAZmzpzp9PiPP/6YwYMHX3igi6M67OiMZopTjtXovOKU40iyDqNXICUlecgGM4qtFGteKjqzF3kntxFx81PoTB4oDju5J/7GL6rPVbHe1agaLTiuce2hqmTuXlK+KLkQpVnxJP31GQ0GP4E5IILQXvcIaQZVKY8Yu4rxSVWkpJy7cHB3F9WmkgTXXQdxceeed+AAPPSQqD6dN08z6tS4dCgOsSrWm71QHHb07j6cXPBitYHxiiSt/xq/1gMJ6jyS+BXvASDrjRQlHkKxleDduCuqctr9x8X+ft3dhdb45MnQrJnYJDzxBGzeLKrC77lHbNyfeQa2bhWbhyZNRPD7xx/Fz8ePw6+/Vr7uqVMiEPf118KwE4SEi7u7ayUHNK4uVIedetffg97Nm4K4vZRkxiLJOjwatCWg/RBK0k+SvmsxHqEtMPmF4bAUEdJjLDqzJ/aSfGSdAUdpIfmndlCacQqA7IN/En7DFJdNLp+Nogi91JoQHw833yyeqZGR8M03Z45JEjz9tEhsGTTlI41aItXCLUuSdaiOqiNSSeu/wq/1QAI7jyRh5QcAmPzDMfmGoriQ2Z8zyLIwo7/1VrEMmDsXliyBvDwhS3bHHfDOO/B//yeeu76+IpiuoVFXqIqd3ON/k7VvOaF9JtPkjrew5mdgyU1CknSYAyPRmT3IP7md2CWvY/QJocntb+IoPbMGdgtuAqqKpK/8oChOP0nmnj/IObYBVIgY8hSy3jUeJno99O8vkspny5Bt3gx33w0//CDWv++/D4sWnQmSGwzCM+c//xHFWp99JuSRJk0SHlo//CCKtywW0Vmp7VHrhmPHjrFnz4W18ctYtWoVWVlZBJRpx12llD/TaqorWxZgkWSQdPg06U7uiX8wuPuiOmxk7FqCT5NulGYnojd7YfYLR1UcV9UzVKMy2r+cxjWHJMuUZlYRDT4PpZlxp7N8EujKAkxXR6DJvYpCn7vvFi2lbdpUHRivyMKF8MIL8Oab2sJD49IgyTIOSxF6D18ASjJOUZRwwLmTVQeZe5ZSr+ddJK39HJ2bN0afEEy+oRQlHyVl8/fU63U3LhcZR6zBdDqhSfzjj6JKPCoKFi8WwbK0NFER3qgRrFwJR4/Czp0iGN6undjgu7tD9+7g7S2qy9PTYdeuc9d3kqRV12jUHkVxIOuNZO5dRsaO+Wf5dEgEdbmV+n0m03DIk1hyUyhKPIg1LxWTX31CrrsdxWFHsZYg6fSED5xCQfw+0rf9St6Jf7AV5WD0DkG6CtqTZLlmJmIgKudiY6FVKxGkKztXkkRAYMi58s4aGjVC1hlwrxdFcaqzVW8SHuFtKEo8WPVhxUHW3j8I7nYnSWs/R7EWC9NcxYGs06Oqist1YlWHLMO4ceIZ+8gjIihuMAjJMb0e/vxTJKW//VZ0cMXFiQCdJq2iUVdIsp6MXYsojNtL/sltuIdG4ddqAAYP/9Pm8rvJ2r8Ka67IvJZmJWDJTxPJqVUfEjnsefxa9hNmnKs+oijpCKgKJr/6BLS/hYZDn6Zez3FE//I0DksBsr5qObMrQWgoDB0q1qtnM2+eKOB6/XXx32lpcOKEmLPNm0NgIKxbJ7qrtmwR57z8stjDfvIJBAeLa0+dKoLv2py9eBLOFoi/AKqqkpaWdtUHxwFUxYEpoEGNzjH5hwNgL8rBp1kPDJ7+ZO35nSZ3vEnO4XXkx2zHXlqI0SeE1E1zqN/vPpeTP9KoGdrHjMa1SU2jvFfJJqAqmjSBBg0qG6JMmQJLl4pgmzPMmiUqUd3cLs09avy7kSQZFAVVcaA6bOQe3VCj83OPbaR+33tpcf+3WLMTUR12Ti19i5ButxPSfQxZ+5YT2OEWVFV1qVa2/HyFwECxEfjjDyGX0q2bmKuLF0N+vtjAjxkjpBhWroQJE0QAfP9+6N0btm0TbabHjgmzopISUaH6zTdnKlxbtwajUaKgQFuQadQOWdYR+/vbZB84V9fYu3FXwgY8RElaNCmbZpMfswM4k4kx+YUR1HU0wV1upSQjlsx9y/Ft3pMmt79JyqbZQvLoKgiMlwXM+vUTATVn6d9faBwnJIhguCzD4MHw1FPiWhoaF4visBPYaQTxy50z5PNq1Bmzfzhxf7xd7ZjcoxsJ7T0Rt+DGKDYLgR2HYc1Px+Dpj6RzjcpUZ1AU+OUXEVBr21YY4t59N3h6iuMOh1gPz5wpguYDBmhBNo26RVUcFMbtK/+5OOXYufINkoxPs14EdR6BV6MuSJKMqf0Q/Fr2Q5JkYhb+95y1cUn6SXKPbcIcGEnj0W/Q7K6PkHWmy/GWnMZuF8HvNWuqNsbdtAn69hXFWk8+KTom4+Phq69EdfjZ5rg2m0hknTol1sSzZ2sySHWJZ9kHYw1wr6oK7ypEknUEdhxKyuY54KQ2eGDHYRTE70WxlxLW/0GKU45j9AvF4BlA5r5loCrYi/OwFWRQr9dd2Ipy0Jm9kHSuv+bVqBrtX07jmkNVHLiHNK3ROW4hTa7aTJ+iiMrUMlq3FlWnZUZhzpCfL6punDUh09CoCeppKRVJkkGSsZcW1uh8x+nx1pwkPCPaIck6grrcyomfnyI/Zjt+rQZgLy1CsVtdygwlOtqKoogNw7ffCuPNW24R0gvTpwsvgIcfFsmtceOgfXv45x+oV0+cn5goWsG7dBGbfodDtIQ//bSofvvtNwgLE9coLFSIi9P0xjVqjqrYSd+5qMrAuDkggkajXqHg1E6O//go+THbqRgYB7DkJJG4+mNif38bt6BIGgycQnHSEZLWfUlo74kYPK+OiqOFC4WM0ZQpzp/Trx+0bCm0xouLRRAuMVFUqPburXVjadQNkqzDv81AzEGNLjxWZyD0+gkUp0VXXzkO2C3iuVqv1900G/c+pZmxpP79A7LehCt2YlWH1Sqep599JpLKI0aIJNUtt4gk1eOPQ9OmItDm7a3562jULaqqnpYvqr51z+gbSsv7vqHJ7W+gM3mSsHoGJ+e/SOa+Fch6EzELXjpv0UhpZiwn5j6GJOuRTa5VxaTXQ4sWYn75+lY/zt0dhg8XPh2tWsHzz58bGK/IunXw8cdCFmnjRlHsVVNFDI1z6dixI35+fk6Pb9SoEREVTRyucgwe/vi3GuDUWPd6UXg17EDOobU0G/chJr/6JG+aTWivuymI31suHygbjHhGtCc/ZgcJKz9EvsYkVc72C6hJZ+XViLZE0LjmEJnB4Uiy8x9OQV1GXcI7urTo9WJj0KyZ+Ll+ffH9fIuOqjhyRNs0aFwiTmuf5h7fjGIpRu/mVaPTdWYxPmXjdxz/YTqKrRSPsFaED3qEU4tfw16chzUvFUmSXErb2G4XUicGg0pSEvTsCcuXn7vAt1rh55+hRw8RZFu8+Myxn34SQbe9e2HkSLjxRjHHH31UVKHv2AGTJqno9ZImq6JRKyRZT8aO+VUeC+52J47SAmIWvYLqOP+KOPvAStJ3zMdhLSG4+50YPANI37GAqyHQ9swzcOedIqg2bBj06XPhc4xGeOstsVEwGkUSq08f0WYOWnWqRt2gKg7yT+1CddhpNu798wbIJb2JRiP/i3toFAmrPjrvdfVmbwB8mnRD1hmJWfR/WPPSxHWukqyOzSaqTz/6SOgTT5kCDRuKpPLy5bBqlagYb9dOPDubNhWmnNf65l7j8qGqKrLBhM5UdUWu0TuE5nfPRNIZOPrdgxybM4XMXYvJO74Zj7CW5B7bcDrpfH5sBRmnza9db27q9UL+Lz4ePvxQFGmZzeDlJebd4sVCNsXbWxjmlpQ4d93PPxfdHr/+KirItTXuxWMwGJg4caLT4x988EGUaygroSoKETc/hUeDtucdZ/ILo/Htr2MrzqXBTdMx+YcjyTrC+t2P0S+c3KObcK/fEnNgJEavIDJ3LxXdH8c3YyvMvkzvpm6x28X+dOtWWL/+TCfIxo2i42PQIJHg+vxzcewa+rOohBYK07gm0bv7ENDhZqfG+rboi9kv7KrRV6wKd3fYsEG0rZV9WNVYWcb11lsa1wiSJIEkUZR4kMLEA/hGORF5qoBvi744rCWiEi7pMNHznkWSdQS0HYze7EnmnqWYAxog6404rE6uui8D7u4SBoOEXi9x222Qk3P+8XFxYgHSrZto/QaxAFm9WrSJT54sXisoEFVy110n/luWJcxmicaNr55WeA3XQFUcFMTvO0tjHJB1+Le9iYC2N5G5eymq3eLU9dJ3LEQ2mMg+8CfBXW+jKOUY56uou9LYbKJr6t3TahXffScq1pYsEa3g1eHhISrNO3fWjDY1Li2SrCPn0JrThmAyLSZ9QcOhz+Ie2qJ8jN7Dn3q97qb1Qz/g1agzMQteOm/VOIBfy744LEXkHNsEso4Gg6YhG8yX+u3UKQaDSB7ffTeMHy8kAs+ucivjzz9Fp4deryWuNOoQVUFVFfzbDqrycOTIl1HtVo7/MK2S1IpnRHvcAiPJ2FWFWHc1ZB9cg2IrvehbvhTo9SIYPnUqHDwoAuD5+SJBFRkpOh9LSkSAfORICAm58DVjYkSgrnt3oVdeC19ijbOQJInnnnuOsLCwC45t0aIFU6dORX8NfWBKsowk62k29n3q970Po3flP0SdmzfB3e4katLnGNz9kPUmsg+tJWbhywC4BTdCZzDR4MZptJg4i+Z3z8BhKSZl47egKqAqlGbXTNf9SmO3C/+rt98WyeV77hHxpJMnRWfkDTeIJPSaNfD776IgMyREJKWvRa6dv3YNjQqoqkqDG6djK8wm7/jmasd5RnQgcvjzV5X5UFXo9RAUBPv2iY09CI222Fjnr9Gpk5aV17iUSKiKnYxdi2k+/kM8IzpQGL/3wqed1ojLPvgnirUYgKKEAxSc2oFnw04EdBhK5u7F1O93HwC2wmx0/hde9F0O9HoJm00Et0+edO6cdevExmLKFFi7VryWnw8Wi9AZLy4W+qoAqamibfzoUYiNVWnTxsTJk1pJnEYNUNVzAuNGn3o0ueMt3E5XqGbuW+705ay5yRTE7kHv7kNh4iEC2gwi5+gG/KL6ILlgq6nBAO+9d+Znmw1GjRKBtLVrRav4p5+KyhmLRWwcJk+G++4TlXG33CKqUt97TySmHQ4tWK5R97gFNUI2GIme9xyhve7Cr9UAAtoNFj4eioKsN6AqDvJObiN57eeUZsWf93qSrCegwy1kHVhFzqG/8IvqjW/z61FsFlSH3SXnanXccouoTJ0379xjoaEiiezpCYWFwsPjjTeEAb0WaNOoCyRJAhWCutwmAt0VJDrd67fEM7w10b8+i72ocnWEe70oHJZi59bBp1FsJRSc2oVP854uu2et6vlX5ufh5SUqwEF0TC5YIDx1tm6t/noZGSKg7u4unrFah/PFIUkSvr6+bNiwgRtvvJGYmJgqx7Vr145Vq1ZhNl9dCVNnUFUVa14qQZ1HEtJjLEVJh7EX5yKbPPAMb4Mky5RmJ5G49Rey968EVEL7TEKx2zi1+BWKkg6DqmAOiCCw4zB8W/YjauJnRP/6DJbsRJedm1XhcIjA+IABohMZYPduMe/69au+qKuoSHgIlJYKiaRriavnX09DowaIllCZxre9RuTwF/AIa1XpuFtIUyKGPEWzce8jyYar6oOsOvR6sWjo00csRKZOdf7cgACh66Zt6jUuFaqqYPStT2HcHiy5KUQMeQKd+cLGMGEDHsLg4U/GrkWVXs/YuQhZp8e/zSDsxXk4LMWoiuJSxn8Gg/j69tuanTd7tmhdK+vmCAwUgbjffhMmRhX9dE6dEhsMd3eJwEBtt69RQyQqSREZvIJofvcMZL2R1K2/4LCWYC+qWYuoJTcJvYcfmbsX4924K9acFJdtTdq9WySVK1JQIHTDU1OFXNmyZeI1qxVOnBBGm8nJcPvtIoj+/vtC/ig7G+bMEdVx12q7qcaVwbtpN0ozE2g+7j086rcka99yUv/+kcx9y8iL3oI1PwNUFbN/uFMt3eGDHkHv5kPmrsUUJR2iJOMUis2CX4u+4ELSZM7QrJnopKpI794iWB4fLwLnP/4ovsfHC/kyrRBEo66QZB0qKia/+jS46VEqyp4EdRqBJSe5StkU2WhGsdW809FhLb7q/oANBpFQDgwUEmShofCf/4iirC1b4Iknqj/Xy0sE4m65RQTyNC4eg8FAREQER48e5aeffqJPnz4EBQURHBzMjTfeyJIlS9izZw+BgYHXVNU4CFkVS3YiJr8wjn73IPErP8RakIGkN+IoySdl47ccmHEbR76cQPb+FYCKJOsJ7DCMzL1/kHd8M/aibOzFuRQm7Cd26Rsc/vzu07JnH2D0qYc5MPJKv02n0elE51VZYLx3b+jYEaZNu3C3M8BLL4n18lX2kXRerq2/eA2NCpQFyfxa9se/zSBshdnYSwvQe/hhcPM+baAiuVQwrS4oC3APHCgqZrZfWMqOp57SsvEalw5VcZTLoKCCyTcUxW6l+V0zOLX4FUoz4845R2fypH6/+wjqPJL4lR+WG5+UUZh0CAC9uzCWkXR6SrPiMQeEX/o35CSyLDZJCTXssEtIEPPYy0t8HzRIzM8PPoDbbhNGns8+e2b8l1/C2LFgtbpmAFLDhZF0eDZoh9jQqzQc9iyqqnD8h+n4RvWplYa/JOuFx8Ax0bVl8A4CVUVV7DXyArnU2O1Ve3PUry9M/ZKSROBt3z5R2ZaTIzo33N1h4kRRVf7++2KT/8EHwlR3yRJRTfP440L3WFVdNi+gcZWgOuyYfMOQ9QZSt/xE6t8/lndRVcSv7Y00vPlpmt/zCacW/R+lmbHnjNGZvQgb8BCBHW4Rz9XTFeaWnCQkvRGjdwjyVfQH63CIOblmzZnXXn4ZXnkFDh2Cxx4TyeOcHPDzg9GjRVfWNRbv0bjCSJyuHu80Ar2bD8kbvsGSnYBnRHtyj6yvVE1ehsNSJHTKZR3UwEhe7+ErJJauAhRFSDB8+mnl11NTRcX4zJmik+P990VSedasyuMCA0Uy67334LnntH1qXWI4HSwYPXo0Y8eOrXTMbrcjyzLyNfY/XFUVFLuFoqTDGL2DCe0zmdglr5O194/znhfSczwGT38yd1ctgWTNS+XET08QNfFzIke8WGNfrSuFogjpoiUV3tbDD4tu5L/+cv4an3wi5vG10o2lLQ80rnnK2kMNnv7o3byRdHqKUo5hyU5AknV4hLXB6B1UHsC7VrDbhSHRgAGwf3/14x5+uHKgTUOjrimbV3o3L0K63U7CnzMpOLWTJre/RasH5lAQu5usg6uxF2YjG8x4N+6Kf9sbkWQ9ccvfq3LhIpJbACrmwEh0BjO2wizMAQ0u4zs7P3a7SKWbTDU7r2x8aakwLyrbyEdHn9F7e+styMsTrx87LWNps11DqXuNy4PiwOQbildkJ2xF2XhHdiZm0f9hK8zCkpOErDfiFtKMkrQTTl/SI6wVJaknUGwlqIoDo3cw9pJ8DJ7+LiVhJklVL+bvvlss+CVJ6P9XlWB++WV45BGxaXd3FwG3vXuFqecff4jgXFKS6PTQ0LgYJJ0eCUha/xVp/8ytdlzOgdXYC3NocvubtHpgNgVxe8g++Ce2wmxkoxmfxt3wa32DqHRVFer3vQ+Tfzipf/+AJOtQbJarxoizDJ1OdHWUVa0984yYey+8AB9/LOQG9XpxPDVVbOI/+UQkmF977creu8Y1hCQhSRJZB1bj3bgrrR/6gfzYXejdfbGXFlR5SkHsbmSDCd/m15N7dINTv0bv4Y93ZKerZp4+88y5gfGKqKqQZPDyEkae8+cLOYcyJk8WYzp10iRVLhWGKlrGr7Vq8TNIKNYSQCVu2Ts0HvUKit1CwsoPqzGclwjpOY76fSaRvOGbKhPOZdgKs0jb+hPhA6dhLym4KgLkigJffFG56rtXL9FpVRMWLBB65dcK1+pfv4ZGJVRVRZIksg/+Sfr23yjJqKCxJcl4N76O0N4TcK8Xdc1Ukuv14OMjKt4+/1xk5E+cjm9IkqhGnT5dtKppaFxKFIcNWWdAVRVS/5lLxo4FABz+cgK+Ub0J6jySyKFnMjTW/Azyjv+DX6v+WHISq7ymybc+APbiXAI7jUBx2HALbuxSFTUFBQpWq0r//hKbq7c+OIf+/UU2v1Ur0bKWlibMT3r0EBVyQ4fChAmi8gbOBPgyM6txItPQqAZJp0dV7IT2nkhJegy2wizyTld855/ahTUvjaBOI4hf8d4FriTwjOiAW2AkCas+QjZ5iAR0/Rak71xIcJfbkA01zBRVw5dffklhYeFFXePGG2+kS5eWSJKu0uZgwgTIzRUSZXHnNrUAQpv8ww9Fguqbb0SVTXQ0NG58ZszXX8OwYQrXXZfNTz99f1H3WhFPT08eeOCBOruehmujKg5Ks+LPGxgvo+DUDuJXfkjk0Kcx+oTS8Jany49ZclNJ2TSbrH3LkQ1mAjsOJ7DjMHyadEc2eWDNSboqe6N9faF1a+EJ8OabwpOjRw8R/C5bzhcWwty5Qn5l/354/XVhqvvMM1pnh0bdYCvKJW7ZO0iSTGjfyQR2HI4k69GZPKocX5pxioL4fQR1vtXp4Hhgh1tA5aoo5kpLc96w7+WXhezKgw+KuQmia+vZZ4WE2U03aYFxjYtHkiTspQV4RXYkfvl7xC59g4a3PINP0+5k7V1G/qldeDfphm/zXhg8A5B0BiRZJvf4ZtK2/XrB62cdWE3YgIdQHNbL8G5qj6KI9Wrz5qJKvCJeXmL9WxOckV+5mtCC4xr/CiRJImH1x2TsXHTuQVUh/+RWCmJ30ejW/+LTtIfLLzqcRa8XX9OmiTbv+Hih3RYcLHTGbZp3n8tgs9nOyeBX9drVhuqwIyGhKA5w2Enb+kuFYzZyDq8l5/BaZIMbOrMnit2Co6QAUDEHRRLUaSSFcXvPuW5Ah1tQHXayD62lXvc7AFGZ7koVNXa7CJBPnSrz1lsSdidi1/7+MGaMyMRv3CiMPPv2FTrkv/xyxkhsypQzwfFOncT3Awdce0Gm4Zqoqqj2NgdGknN0Hapy+g9VdZC553fq9bqL9O3zLmjyh6wjtPcESjJjKYzbK+aoqiDpjWTuXop/m0FIFhm9u+9FP2MLCwtJTMwhP7/24t5W6z88+2wbBgw400IaGQlRUWKjXl1gvCLffgt33XVGn7FjxzPmfwCffCKzenUgVqsn0dFOXPACeHvLhLuOcpTG5UCSSd8x3+nhOYfXED5wCibfeqRu/ZX0bb+i2C0olqJK45LXf0nWvmU0Hfs+BjdvrHlpqFRUTHZtykz+3N2FiXVenpBZGTNGeAlMnSoCAHq96AC5/34RfPvsM1EY8tprovujooeHhkatUBUydy/GHBBBs7HvY/D0x5qfgd2WhW9Ub5LXV91ClL79N5qMfp3grqMvOMfd67eiXq+7yY/djU+T6y7Fu6gzHA4xz5xZ84J4dv78s5D4fP116NIFli4Vc9PbWwuMa9QdKqK4yiuyE9kH/6Qo+ShBXW4luNudhPQcL/alh9ZiyU1GknW412+JT7OetJ02n8Q/PyH74Opqr61YiihKOoxHWJvL94Zqyddfw7vvnju3CgqEBFlNqOl4V0f7uNG45lEddrL2rag6MF5pnI1Ti1/FVpCJehVWz5yPsg6piAho2VIExkEz4HQF7HY7iqKwcuVKhgwZQr169QgJCaF///4sWLAAu92O7SrOYqhlWouKnayDq87ZoJeh2EqwFWTgKMlHLF8gc/dSfKN6o3PzrjRW5+ZNQLvBIEkEtL0RVVWQdQaXqhovo6BAISREYvp058a/8oowLLrrLrHpf/xxyM8XesZ5eUILOT9fBPAaNRLnTJ2qUlysEB199f6daFw5ZJ0eVJANZhwllaux03cuxJKTTNMx/8McEFHtNSSdgcjhL+AZ3paEVR8DENT5VlRFIWvvcqx5qegMbhTE76uzeZqfr5CY6CAz061WX1u3pnPqVAYvvqiUd188+KCYX7/8cv7fXZHPPhMJrB49hCTSXXedObZmDWRkOIiMbFHr+yz7Skx0XFQyQOPqRJIkco6sd3q8areSd3wztqIcktfOwl6UXe1z15KTRPSvT6MCnmEtXfIZejaqCpmZQlqse3do00Z0W/36qwjGFRUJWZXPPxfzb+VK8VyNjBRJ5fvvF0mt4mLR9eFsAE9DozokWYe1IIsWk75AsVuJnvccBz+9k/gVH2AOiMCzYccqz8s7vpnUf34ifNAj1O93v9AgPxtZh1/rgTQb9z6SrCP/5NZL/G5qT9lc0ulg3bqanbt2reh23r5dmAMWF4s96rWiY6zhGrj5haHYrYT2mYSkM2DJScboFYwkySSv+5L9H48ibtk7pP79AymbZnPy12c4NOsu8qK3EDn8eYK63nbe6ys2C7LetYMrsiw6qQoLzxRXlfH338LbqiZ1ZqNHX1tmuVrluMY1j6TTk7Z9nlNjVbuV9J0LCev/oNZrqXHJsdvtZGVlcdNNN7Fv375Kx9LT01m/fj0vvvgiq1evpkGDBldnFfnpClFZZ6I4qQr3u/NQlHwYSdZh9AqmpCRfXMfoRpPb30LWGwEJg3cQCatm0HDI45SkncQtqFG5z4ArYDKJz5H//a9qw6EyJEkYmjzyCPzzjxj3ww9ndMVLS4Xx5vPPw59/ws03i2x9cDDceKPEunXnGrRpaDiNpKLYLOjcKm/OFWsx0b88TdOx/yNq0hdkH/yTzN1LKEk/CQiDv4B2gwnqcitG7xAUh51m494XGwSDCWt+BgmrPsKzQTt0Zk/yjv+Nf6sBdXbbZrMn/fpNrfX5u3frGTFCYvZslcmTJXr2hBUrxFx1liVLRJtqSIioQJ8yRQTmQATysrJkoqKuo1+/trW+T4D16z8FanBjGtcEqqJUG9yuDntJXpWmnVVhyYon58ha/Fr2F/JnLi7Z8NZbwuz27JqB9evh6afh++9F1engwSLgVobdLp6rWVkikL5unTj+6KOX8+41rlXCB07Bmp/O8e+nYi8WC7fC+L2UpJ+kwaBpHPthWpXzOHn9lzisRdTvPYngrqPJPrSGouTDqIoDs18Y/u0GY/QKEp0dBjNuIU0v91tzmn/+Ec/D998Xa9aaUDY+LEx0fxiNYi5raNQVquLAYS0hfsX7RA5/nka3/h+lWfH4NOvByd9eqDbxZM1NJu73t7AX5RA+cCol6TEUxu2pcqzRO8ilvHWqIzNTaIvfd5/o1ihLbH32GWzaBDfcUNnoujpkWexbr6XujmvorWhonIuqqhQlH6E045TT52TtX3H19JVqXNWUlpbSr1+/cwLjFTl58iR9+/YlNzf3quxokFSV3ONCw1hVapZaLhsv6XQg6fCN6k3UhFl41G9BzpF1JK//EntBJg2HPA5A9uG1LhUYb9zYQGionpwcOHRILDp27IBJk4R8il4P9eqJzfmRI/Dcc/Dkk8IQxd1dZOITK0iuz54tKmliTlsmNGwIy5apJCfbOXhQk1TRqD2K3U7u0fX4NrseSa48h2yFmRz7/hHStv6CT7MetLzvG9o/tYJ2jy+l3eNLCLvhYYw+oRSnRZOy8VsSVn5I2pafsGQlYvIJIWryFwR3H0NpVjwFcbuv0DusmoQEO6tWFXHnnbBvn0pERM31E202EUy320Ulatu2Ym6W4empmeVq1B5JlpENbjU6R2fyxF7qvCZ/5q4lyDoDtqJcl60eV1UhK/bCC9VLAubliaq3v/4S3R9VmWHPm3fG2LqmATwNjerQGd2IWfBSeWC8jFOLX8XgFUTzcR9g9A2t8tz0bb+RvnNhuUFnxJAniRz6LIGdRpJ3YgtFKccoiN+HvbQQc0BEjdfSl4OpU0UHR5mhZoMGNTu/QQOx5jUaRfKqdWutq0OjbpFkHYl/ziD36Hpi5r+IV2QnQq67nbRtvzrVkZG09gtKUk8Q0u3OKo+7BTXGLbiJywfGQexBP/tMJKMmTz7z+ubNsGcPzJwpxlyIN94Q17iW6kld/1/PCWbPnk3fvn1p164d99xzD6dOOR8I1bjGURUs2VUb+lWHoyQfh0WrwtS4tNjtdj777DOOnu2GUQWJiYm88847KMrV11Iv6fTkHt2I4rBh8g+r0bkmPzG+Xs+7aDvtNxrf9homvzBURaE0M460rb9w8NMxpGyaLcb7hFCUfNRlNg5dupj56y+VGTNES/dttwmToq+/FtVrNhukpAjdt927hSzDBx+Ic6dMgT/+OLPRAEhIEN8jIsSmfu5cFYvFwdKlhddUS5vG5UV12Mnav4L07fMxePrjG9X7nDGKpYjUzXM4+OkYTv72PCkbviFty8/YCrOwF+dz5OvJHPvuQdK3/Urmnt9J/fsHDn95D8d/fBSdwYxPk+vIPrIeg1fQFXiH5+fECRvz5xeg19sID1ed2hBUxGgENzexOWjVSrxWdo02bSA8XCI9XZugGrXHt/n1Fxxj8A4mtO+9tHroRwLa3oQ5oCFRk74gsNMIZKP7ec8tThVu7YUJ+0BVXDIRn5kpKsYvhN0uPACCguCOO6oe8+mnwh+gTx/x81W4tNJwIRSHnYK4PVUWYpVmxnFi7mPoPfxo/fBcmtz+Jr4t+uIR3gavyM7U7/8Abaf9RvB1o0la9yX7PxrBnrcHsvvtG9j/4TCS/pqF2T8cS04SOrMHbsFNXaqzQ1XFvFyyBHbuFNXehYWVA27OMHEi7N0LgYGiOOSBB85Igmpo1AX2koJyibLi1GMUJR8BWcaak4LRp54TV1DJ2LUY7ybXVZnoCuwyEsXhuhmdsmSToggplAMHxH505kwh2VnGHXcI+d0NG86sac/Gy0sY7j777CW/7cvOVR8c//333/nggw946qmnmD9/Pj4+Ptx3331YrVoVncZpapHBk66l/hANl0SWZb744gunx3/33Xc4rtIIaP1+96LYrQS0GwKS84v6wI7DsJcWonPzIj9mB+k7F2AvyUPS6TD5lbnSqaRsmk3qlp8I7DSc4pTjZ3TOryAhITrq19fz4YcS330ngmdt28LQodCkiViYTJwIo0aJYPe4cbD1dOHC8OHQvr3I6lekrAquf38wGFSOHLGwcGEBpaWuF8jQuHqQdHqy9q+gNDOW/FO7CLvhYQyegVUPVhzknfiH9B3zUVUFo1cQcb+/WW13VmH8Po7NmYI1L52AtjcS0G4wqgtuHtLSHCxbVsSRIxaGDgUPD+fPHTVKtJSmp4sKGjhTkfrww0IbPSZG8wPQqB2q4iCo66hqj0uyngaDn6DNlJ8J7jKKgrjdJK3/itS/v8eWn0aDG6fTdtp8AjsNP98vAcCSnSgCby6SYC6jTBLFWfuV6GhYtUrMv6pYvVoE8MaOFWae2pJf42KQdXqy9q2o9nhJ+kkOf3EP8cvfw+AVSONRrxB1zyc0G/c+QZ1HknXwTw5/cQ9pW34SJ6hK+Rz0bzMQ2WCmJOMUBndfdEbz5XhLTlNcLALimzaJpHDPnvDhhzBkiFjrOkPfvtCunZBGAtFdea2Z/GlcWRSHjZwja3ELbkzk8Bdo88hveEd2QpJkIm5+ktZTfqLJ7W/h3fj8ZrfZh9eiKg68m3Sr9Lpfy/4EdRwuPHxclPXrYdgwmD9fFGCBeEYuXgwLFwod8l69xPOzd2+xbz10SEiQTZgAN94oguiffgqpqSIJfS3iuv+CTjJ79mzGjRvHsGHDAHjrrbfo2bMna9as4eabb77Cd6dxxZFkPMJaI3RSnAsgmfwboLtAlY2GxsUSHx9PTJk+hhNkZ2eze/duunbtWh4kNxqNl+r26gxVVZGN7sQufo2md76NX8u+5Bxee8HzzEGN8G7Uhdilb5B98M/y15PWzKLhsGfxbzOQnMN/kR+zHYCUTXMI7DAUt+BGl+y91ISmTY2kpans2iWxZImogPm//xMLii++gNjYqs/r318sUJYsEdriFenbV3z38hLBt9JSVWs71agTrHmpAMT9/hZREz6l+d0zOLXoFYpTj50zVtKbqNdzHKHXTyBt27zyOVgd9uI8Ype+TtSEzwhof4tLSR+dzcGDFlq3NjN+vND4d4YpU4R2cZMm0LixMASMj4frroPJk1X27LFolakatUaSdXjUb0lAh6Fk7f3jrIM6Go16Be8m15H01ywy9y1DsVbWpTd4BVGv191EDH4CndmLtH/mnvM7ysx2bUWnNYVcqDIVxPNz2bKanfPHH0L7uCpUFQoKxHwdPVoYez72mFapqlF7rAUZ5z2u2ErJ2recrH3L0Xv449O8Fw2HPInO6I5vVB/sRTko1mIclkIK4vZiK8hAZ/YiuNsY8k5swa9FX5FYlnVILqJhYLPBd9+JQg6jUcyjxERIShIVpYsWiXXr+aTKIiKE9vH+/aJqPC1NVKSqqkiKXY1WSxquidEnhKiJs7DkpJC8/mtyjqzDXpyHzuSGT7NeBHUeSdMx75K+Yz6Jf35KVXEj1W7BUVqA3uwFgM7Nm6DOIwntPRFLbiqO0nzcQpq6nLTKE0+IpBWI+bh5M7z0Erz2mtD4nzpVSI1t3iz2qdnZIjgOIuHVr9+Za6WkiLnpIh9Ddc5lWQYsWbKEXbt2cfDgQY4fP47NZuOtt95i1KjqKyH279/PzJkz2bt3LzabjaZNmzJhwoTyIDiA1WrlyJEjTKuQuvD09KR9+/bs27dPC47/iykzFHKU5GPyrYd3464X3MCXEdRpBKpiP0d3VUOjLikurrl0T1FREdHR0fz8888EBQUxZswYAgICsNvt6F11V6eqpG+bR/7JreQe20zEkCex5CRTnFK9nIzBK4gmo9+gJDOWnCMbKl9OsRO79C10Zi8ibn6Kg5+OBdWBareQtX8FQZ1G4AqmAW5uEklJonotKEgEyu66Sxj1lWXeV6w4087drZsIso0dK7L048aJzUFFpk4VC5L//hcaNYLRo01s366JpmpcPGXPO1thJsd/mE6TO9+mxeQvKEw8SNb+FdjyM5B0Bjwj2hPQfgg6kyfFKcdJ+uuzC1xZUJR0mJL0k5gDIy/hu7g4OnUy0bmzqMp7802hW3zy5PnPefhhUWEzfjx8+y34+IiNfrdusHChSkaGg507tTmqcXGoioOI04G09J0LyqtK6/eZiE+Tbpz87flq17i2ggwSVn6AvSibsH73U5J64pyxAR2HYSvMxl6cW/YLa9TldTkoKKj5eKNRBLzPTiLLspiraWkiEb19uwgeaGjUFmES7xz2omwcp+dacXoM7sGNCet/P4rDVm6Km3dyOybfUPRmT/Ki/yHi5qeQJBnF4RA+PBfJl19+SWGh874EZ6PX65k+fTrx8cKQb9y4Mx458fEiyNazpzDpfOqpyutdEEHv224TgXB/fwgPF9XjNhucOAGvvAKjR6uMHi1x+PARVq1aWWdyT56enjzwwAN1ci2NqwRJwqdJd9K2/UrSX59TMfBtL7aWJ64COw2nwU2PoTrsJK39vMpLyQYzHuFtaDjsefxa9kOSdSIYrioUJR3CHNQISecawXGHQ8yxssA4wN9/C++ON94QnjivvQaffCL2pTfcINa0Xl7i2NCh4hoDB4oukZISETh/+mlh5FkHH0Uux2WJpnz88cckJSXh5+dHcHAwSUlJ5x2/bds27r33XgwGA7fccgteXl6sXr2ap556iqSkJB566CEAcnJycDgc+J8lEOnv709mZuYlez8aro2qOFDsFuKWvUvu0U20mPwF9XrdTUHsblTl/GWWRp96BHS4RQuMa1xyQkJCkCSpRou9kJAQNmzYwCuvvALA448/zm233cYnn3yCt7c3BlcssVAVsvYtByB26Rs0HfMuzcZ/SNo/c8nctwx70ZmSEtnohn/rQdS7/h5Uh52Tvz6L6qhCIkt1kLz+K1re+zU+zXqQd9rwMz9mZ7VGKZcbRREVMQaD0BI/ckSYcW7dKkw3//hDtHWXZeeDgoTR5nPPwccfn7uZ79dPtKnGxYlzW7eWuO8+qcqNv4ZGTfGKaE/OkXUAWPPTOPL1ffg060FQpxE0vPk/5ePsJflIOiOSJJG0znlZKICs/asIu+GhOr3vuqJfPzc6dDDz6afC+PbHH2HjRpGs2rjx3PFmMzz+uAiif/ihkFORZfD1hV69VB58UCIuzs7y5UWaH4DGRaMqClkHlhM+cAohPcaSuXsJhUlHCOpyG2nbL9y9AZCyaTZejboQ3P3OSuP1Hn4EtLuJzD1/ENBuMLbiPHQmDxdIMVcmKEg8R50lOFhs6uvVq2xsDTB4sNA1HjdOPD8TEoTUyqBB1+ZmX+PSojrseDXsSP7JbU6f49mwE6rDjr0wk5MbviH/5DZUxY5s8sC/9Q0EdbkNc0AE+Se30+Cmx7EVZmFw96sz2YbCwkISE3PIz69dW5PZLHT++vcXSaYFCyoff/ddERAHsWaNjYWlSyE/X+gZ3367qBRPTRWFHydOiDk5eLCQcPjhB5g2TWLePPjppxakpubx00+/X8Q7Fnh7y4SHX3icxrWDqjiQkMjc8wdJf80679jM3UuR9SbCB04l+9BflKSdqHTcPbQFOqM7HmGthUedtQSdwYxit6J390V1sTZBRYF33jn39TffFB3I77wj5t9334kOyNJS8bycNEnsXQ8dgltuEXvPimzZcu0+Ky9LBPD111+nYcOGhIWF8eWXX/J+dX1uCJO6F198EUmSmDt3Lq1OK8FPnTqVMWPGMHPmTAYPHkxkZOTluHWNqwxVVVDsVo5/P52S9GgAElfPoOnY94gc8SJxy9/H4O6NpNNjL847UyWDCIw3HfseqsOOYrci6fQu1xajce0QEBDAjTfeyKpVq5wa36lTJ9q0acMLL7xQ/prNZuOXX35h+/btbN26FT8/P5erIC9OP1k+zxRbCSd+fpLwGx6mXq+7qNd7AgWxe3CU5CEb3PCK7IRsMJF34m/iV36EvSi72uuWpEVTmHiQwA5Dy4Pjqt1yOd6SUxQUOPD1hbfeqryh//lnoaXYvr2QTRk+HI4ehfvvFxuHqnIl/fuLY6mpohJu3z7xBaDXS9jtmub4lcbhcJTLHUmS5JqJqmpQHXaCOo8sD46ffpG845vJO74Z2eCGzuyJ6rDRePQbGLwC0fmEVEpsOYO9OMcln6kdOpjo0MHM/fcLcyIQreBLlghDoj174Jtv4NQpMf969hRmYwEBMGcOhIaKdtSyjUKrVpCUZGfXrlIsFm1ualwcqsNO9qE1JKx4H4/wtph8ggnpPpZQgwlVVcncvdTpa2XsXESjkS9hCojAkhWPzs2bpne+g6Qz4NdqAEavQFRVcbl5arNVn6iqjrFjReD7gQfg5ZcrH3vkEfEMXbLkzGvHj8OAAdfuhl/jEiLrCOwwlOSN36LaL+x5JhvdCGg3mNzjmzm16P8qHVMsRWTuXkrm7t+p3+9+6vUcR1HKMcz+DepcHD8/XyEx0YHZ7Fmr8y0WO23b6lm6FM62elu1Cn7/XRR2PPigkFy54QaRQA4IgNxckYxas6byecuXw/PPi+Dd55+LwN1jj0l88kl3Fi7cQ2JiVq3uFaC0tFALjP8LUQFUheQNXzs1Pn3HQoKvu52gziOJX/6/SseCOo/EkpvCoVnjQVXQu/vQ/J5PMXqHIOsNeIS3wRW6l0E8NxcsgIxqFJ8++EDM04MHRaL4kUfOHPvzTxg5UiS2qirwcNb/42rkskRRevbs6fTYrVu3Eh8fz6hRo8oD4yBaYKZMmcLjjz/OwoULeeKJJ/Dz80On05GdXTmAkp2dXelcjX8XyRu+KQ+MAxQm7Cdp7ZeE3fAQ7aN6V3L5Lkw4QM6xjaJivO1N2IvzOPrdgzhK8gntPZHg60Zfibeg8S/AZrPx6KOPOh0cnzp1KvHx8SyrQngzJiaGCRMmsHz58rq+zYvmbP1T1W4lZdNs9O7++EZdj1dkJxRbKTqTO2nb5pGxYwG2C2g3llGYsB+/Fn3Lf9Z7+p9n9OVFUcQ+pird4ilThAHK7beLjPyvv4pNQOfOInufkCDMN/v2FRuDwYNF0Pyee8RmY+RI4S5us6naRv4KY7PZMBgM7Nq1i7Vr12KxWIiIiODOO+/EbBYSHbILu72VaZh6RrTHu/F1VVagKrYSFFsJ7vWi8AxvTcKqj2lw06PINTQGkw1upztlVJcJvskydO5s5quvzgTGQVTC9eghDIimTIEZM87EJaxWUQW3fbuocIuJES2m+/aJedqypcSUKTpGjfLi1CkbK1YUnhM40NBwFkmnJ3PPUpB0mP3qk7btVwpi99B8/AcUxu8r9wtwhtxjG1HsVoKvu53ilKPU6zEO2eTByd9eoMGgaSgOm5ibrrG3L8dgEHPtmWdE5emF6NEDOnYUwe/77xdt42Wb+fHjRRfWPfec+zs0NGqDJEnIJg/q9RxPysbvLjg+9PoJyHojiWs+Pc8oleT1X6J38yag3WCQuCTPTbPZk379ptbq3JMnHURG6sjOPvcDQ1VFUmrjRiHX8MMPIqn844+i0KNvX+HPURWFhSLhbLOJZ2/nzpCRoXLvvZPYsKGk6pOcYP36T4Han69xlaIq5B5ZX6kg8vzjHWTu+Z3Q3hPxjeqNNTeFzP0rKM2Mw6/VADHHT5tY24vziFnwEq3u/w57cS7u9ZrjrMfdpUaSYOfO8485ckSsad9+WxSBmM1Ck7zkAtOkkWvYe10SXKvEENi+XWzMrr/++nOO9erVq9IYo9FIy5Yt2bZtG/1OK8UXFRWxb98+xo4dW+3v+O677/juuws/vCqSUV3aRcOlUB02svevPPOCJBM+cCrBXW/Dmp9O5p7fKUw8gOqwY/IJJaDDLTQYOBXFbiXrwCqKkg4T0G4wssGEvSSPzL3LCOxwy5V7QxrXLAaDgSFDhvDoo4/y8ccfn3fsuHHjmDx5Mo8++mh5derZrFy5klOnThEZGekyZj0g9MPP/rnZ+I/QmdxI/OszsvevwrtJNxqNfInUTbNRbM7r86oOG7LRHU5rvQW0G1zuN3Cl8fHRcejQue3c3btD69Zi4Q/CZKxjR/Hzo48Kg5SK7NwJ990nMvp33SUMjubPPyPRMmSIJ/Pn11CMVaNOUBSFtWvX8uyzz7J3795Kxx599FEmTZrEu+++i06nc7mOjnIkWcg7KQ4ajXqFmPkvUhC7q8qhgZ2GY81PJ+vAKur3uw/vJt0pSjrs9K/yadoDe1EOeg+/urr7i6Z5cwNeXjIffXTmtQYNxJzr0EG0eefkiCTV6tWQlycqUj/6SIy780747bfKHR9r18Knn0oMGQI//6xnxAgvFi0q0OSPNGpNacYpfJp2E12PhdkUxu3BYSvFVlizKkrVYcNhKSKw/S3Q/mbyoreS9NdnWHKSOPHTE7S871t0tawivdQYjfD990Kn+HxSRf7+Qv//0CHRMv7PP9C2LRw4IDwCPvhAHP/hh8rnXX+9ZsipUTtUxYHDWkzo9RNQbBbStvxU7djQ3hMJ6T6GxDWfOlUIkrzxWwLaD3GJde3ZHDhgoWlTEz4+5x5r0kQ8M8ski0aOFFINIDx4qguMV+TZZ8Xz9v774csvJZ54wsTGjSVVdlhqaFSHrDNQELenRucUxO6mft97ydq/EqNPCA0GCX9DS26q8P2oQGnGKQri9+ER2gJUhbyYHfg06uIS5vMXUnlRFLGvnDwZ/ve/84+tyAMPiM6sa/GZ6XJvKTY2FoCGDRuec8zHxwc/Pz/iKgjfTJgwgZdeeok2bdrQrFkzPvnkE4KCgrjhhhuq/R2FhYWkpaXV6L4UF9MQ0jgXVXGQd2ILDssZg5EGgx8jsP0tJKz+mIxdS0E9s6IuSjxI9qE/cQtuQuPbXiOg7U0EdRyGNT8dxVaK3t0PvZsXDmsJssHkMpVuGtcWH330EQ0bNuTdd98lNbVyBZi/vz/Tpk3j5Zdf5ttvv2XGjBnVXkdVVb799lv++9//ulQgzuwfhnu9KIpTjyHpDDS9820knY5js6eUV7zZS0QpmNEnhNLMuPNdrhJG7xD0Zi9aP/wTqf/MxbtxN5dJDOj1Iqh2Ns2aie+bN5957cQJmDZN6I337y9aTi0WIbey5/R6rmNH4Sj+ww+QnAxz58LEiRIrV+oJDdWRkqIJG19OHA4H8+bN4+67764yYVVQUMCMGTPYvXs3a9asQZZll60gVxz2ch3TpmP/R370VjJ2LSY/dhcoDvTuPvi3uQm/1jdgzUuj5b1fgSQT0v1OTP4NyNy9mML4fef9HUafeng37YZit7qU2V/Pnm7s2KFy+LBEWJjoyBg+XGzcN20SngD16onKt/x88f2DD4TO+BdfwLx51V97xQq44QaJjRt19OjhxqZNWsWaRu3xqN8aVBXZYMK3ZV9knRHZULPuDRDmu6riAAlSNn6HJUf4QNkKMsjYtZB6Pe9ymflZEVkWnVa//y6el1WZ5XbvLrqv/P2hV68zgYHHHxcSDiEhwtPjbPPNbt1EAF1Do1ZIMsnrviS0zyTC+j9AQLvBpO9cSO7RjTgshejNXvi27EdQpxGYAyLIPf436dt/c+rS9qJsco9uxCeqd53pjdcVKSkOSksd3HqrzLRpUqUE8Pz5kJUlzP2ys4XXzpYtYm28Y4dz17fZ4KuvxPx96CFhdG80SppcmUaNUWw1k91UTssj5Rz6i+LUYxg8A6l3/T0EdRpOcNfR5yTAsvatwCuiPQ6bhYKYbfg0vq7O7r22KApERV143GefCQnBwYNh5coLj2/fHvr0ufj7c1Vc61MWyp2Tvby8qjzu6elZKYA0fPhwsrOzeeedd8jJyaFDhw589dVXmEyman+Hp6cnISEhNbqvsqC9huuiqgr24jPRKL+WAwjqOJzY398m+0D1s70k/STHf5hG1KQvsOQkc+LH0yWdkoxP0+4EdRmFd6Mul/r2Nf7FTJ8+nWnTprF48WL27NmDqqq0atWK0aNHI0kSb731Fi+dXVJcBUlJSS4VGIczesZxy97Br0U/3IKbcOTr+yq1ghcm7Mdekk9AuyHVuoOfjWzywLdFXzL3r8Dg4U/EkCdAVVBVXKLCxmpVqeoxYzSK71VVkRYWio1/1dcTUivh4cI1/OmnRYA9KUmlXTsTKSnFdXfzGudFVVXS09OZOHFitZ0cZWzevJkXXniBd9999zLdXc1QUZF1elRVRWd0I23bPLwadqTpGHG/qsOOpNOjOGzIOgM6oxs5R9bhKClANrnjG9WH5nd9THFaNLGLX6U0K/7cXyLJhA96BIelGJ3JHdVudYk56usr4+6uIzoamjaFdetEBfiUKSL5VLGyLTJSbM6fflpUlOfkiMq4++4TQbr166v2C9i1Cz7+WOLRR01s2VKiVY9r1Aq34Mb4thS7UZ+o3riHNKM0Kw7PiPZIepPTfhvuoVHo3bxI3fIT9XqMI2zAg0T/csZwN3PPH9TrefcleQ8Xi8Mh2r5HjYLoaLGJ/+MPKCgQ5ptjx0KnTnD4sAiMR0dDu3bi3NtuE4G5998Xz9iK9U6yDK++KgJxmrSKRm2QJAnFbsXg4U/W/hV4N+5GgxsfJeKmx8rHqA47+XF7MAdEOK19XEZhwn58W/ZFVRQkF0uyr1hRxJ13ejN8OCxcKF7r1088J/v3F4HxLl3EM7RVK/jlF2pkJL9woZBnadBA/Oxib1/jKkBVFIzewTU6x+gtup7tJXkA2AozSVj5AfaibML6P0BJWnQlGcKyLhBVVVFsVpeYp0Yj3H03PPWU2F9Wx8aNYv37/fdC7uh8xtfh4eIZei0/L10rilJLJk6cyMSJE50eP2nSJCaV9fY4SXh4OElJSTW8M43LiYSEbHDD4B1MUMdhBF93B4UJ+88bGC/DVphF8roviRz+PCb/cCzZiaI15sQ/5J34h+Dr7iB84JTL8C40/o3oTgtHjxgxghEjRpS/XlhYyIwZM5g5c+Zprd7zYzabURTFpSpUJZ2egPZDyD+1g8BOw8k/tbOSJwAII82sfSsIaDeElM1zztEpr4qAdkOQ9UZSN83GVphNg8GPE9hxqMt0eMTH2xk+3EznziJAVkZmpvjesKEw+HOWyEjYv19sNvR6Ud361FMQEiIRFGQEtOD45UJRFD799FOsTgpJf/PNN7z++uvlGuSuhFwWpFYVFIcDt+AmHP32Adzrt8AtMBK9VxAhXW/DYS0h8c8Z5EVvLddaBEhe9yVekZ0IH/gIze/5hBNzH6ck/UxJp2ww03DoM/g07cnJ+S8Q1HEYXo27Xu63WSXt2plwOFTc3CRWrBCbhwEDICXl3LGxsaLF+6+/ziSwbr5ZVLLKsgiQf/45zJp1brv4F18IreSoKCOHDmni4xo1Q3XYCeo6GpNfGLkn/sG3WS9s+enEzH+ZVg99j1+r/pXlBM9DUKeRWHJTSd7wLf6tB+IV2Rm9h3+5+bWtIANbYWaNAwmXg8xM0XkVEQF33CGSWB9+KDboJSVibr7wgjAYK1su3XyzCKq7uYmA3YAB8O67Ipn1ySdCk/zrr0XC2YWWTRpXIX4t+2MvKSB+xYfIBiNtH11E9uG1FMTsxGEtpij5CCb/MHwadxWdG+dD0iEbzSjWUlAdKA4rwgjA9brYU1IcJCTY+PBDPX//LZGWJubmkSPQooXQDK/YlXHffULz/4svxDPzQqq1ubnie7NmwmdHqxrXqA0B7YeQtvVn58e3G0xJegzWvFQknQHvxl0xeodgL8mjNDuR8EHTOfzFXeXjZb2ofJJ1OgxegaiKHUm+8mFWs1kY4r7//vnH3XabkCDbulXIe86ZI2QEy3B3FwnoN98EP79rNzAOLhgc9/QUWncFBVVrqBYWFlZbVa7x70bS6fGJ6o1fy36oioJsMJG+c6HT5+ccWU/4wKkEdhxO0l+fVTqWvn0eBq9AgruOdolsoMa1hd1uR6/XExMTw9dff01CQgJms5n+/fvzzDPP8MwzzzBt2jS+/vr81SYDBw7E4XC4VHAcRFdH5IiXkCSJmEX/V+WYjF2LCOw4lEa3Ct1j1VF9EMkzoj1h/R8ga9+Kcs3VhFUf4xneBqNvKLLBfMXlVU6dspGTozB1qsTkyWfuZc0aIc8wefK5+uLVERwMw4aJABuIipuFC2HpUlFJd9ddEmFhepKStLLUy4FOp2POnDlOj8/NzWXRokWMHj0agwuuKFVFEc49koxXZEfCBz1C4p+fUJxyjJb3foXDUsix76eVB9DOpiB2N8d+mEbz8R/RdMz/OPHzU8gGM/6tB4gklsGNuOX/Iz96CybfULybdL/M77BqGjUycvSoRN++4OUl2k+rCoxX5M8/RVJqxgwRLP/kE1Gd+vDD8PrrMG6cCMhVVMiKixPySKGhei047gKUPW8v9Fpd8OWXX5Z3xNaWLl26cH2vPqgOG8l/fY5v0x5k7FkKKKAqhPaeSH701guajXmEtcKv9Q2kbJoNip3MvcsIvf4efFv0IXPX4vJxqsNORkYGP5wtyl1DPD09eeCBBy7qGiAC3R99JAxwf/5ZJIq//158gdikl5ltVkSWhVfA9u3i+ZmVJTb4Q4eK4N38+WLz7+WlBcY1Lg5VceDVsCPZB/9EdVhxOKxY89LxiuxE3B/vlCeU9af1/I3eIVjO6rKSdEb8WvYjsNMIPMNbl79emHgIe3Gu8NjRG13GV6ciq1cXcfvt3mzaBKNGSfTrB6WlZxJQTzwhpFQcDmjeXGiIP/20CNrdfLMo/KgOf3/xfcgQlRMnrBfUUNbQOBtJljEHROAV2blaT52KGH3q4dOsF0nrv6J+33sJ6HALBg9/FIdNSJudnocNhz1H8vqvsRVk4BnZSXhmyXphoItrPFQkSZhtHj9efWcyiGejySS+f/ihOGfFCvHc9PERCS1PT9F1pXOtj586x+WC45GRkQDExcXRpk2bSsfy8vLIycmhY8eOV+DONK4GdEY3co9upCBuDxGDHyfv+N9On6s6rOSd3IZH/ZZVHk/b+jPBXUfhKh94GtcGNpuNrKwsxo0bx7p16yodmzNnDk8++SSvv/46X331Fe7u7tXqjoeFhTFixIjyKnTXQioPVluyE6scYc1LJWbByzS5/U2ajf+QlI3fUBC7u9IYnZs3ge1vIbTPJAoTD5CwuoKRqeogfccCIm5+yiU0jVUVsrLsTJhgZPlysREHUVX6/fdic/D2286ZEj30kFjgnB2Ptdvh3nuhVSuVbt3MLFx4cUEYDeepaSdZYmKiU90flxvVYUdR7OgMZuKWv4usN9Jg8GOYgyIpjN+PW3ATUjZ/T6MRL2LwCgTAVpBJ1sHV5Bxei3pal1GxFBGz8GVaP/wTre7/VowryhGt5PFbyd6/QoyzW1wmwezuLrFmjTDDXbQIYmKcO+/bb0X1zDvviK/164Vm44cfCpmHFSuEzmrFmGhODkREuIYfwr+VsgD45s2b+fTTT9l/OiLTunVrpkyZwsCBA+s8SF5YWEhWegr2Uic+6Kvhr4wkru/Zg+wDf+IW0gRJ1pG9fxVuwY2RZB06ozvN7vqY6F/+gy0/vcpreEa0p/Ftr1GccpT07eJhZMlOQJJ1GL3OVIlLOgN6Dz8S9x8gLT66yms5g97sAYTW+vwyHA5hrPnkkyIInpIiElM333xGlqGqwDiIZHJ4uDACzDrtW1pcLHwC5s0Tiaw5c8SzVUPjopEoT1Dp3X0xegcj6w3U7zO5XEalNCue0qx4AtsPoeDUGeFtj7DWNL7tVQyeAeTHbCd+xfvYSwuEVnlUb3yb90Jx2HDYLMg610uwFxSoLFhQwLBhnhw4oMNmU8nKkuja9YxvThm7d4tk8v/9nzCkX7NGeAVU9/wdPVo8S+vXl9i0qWa60RoacLoABJXI4c9zbM7USrKeZ6MzedJ41CvYi3MJ6nQrerMHWQdWkblnabknltE3lMCOwwjsMBTvxl2JWfBfAtoNIefoRgLa3ojJ9+KffXWFJInk7+LFIln16aciUF6Gjw/ccw+8+KKoCC9b/ri5wYgRIhguy2cC4i4ZYqhjXGOHUoGuXUW77eaKbmWn+ftvEei87rorL3Kv4XqoioP86G2cWvyq0Ei1WVAd1ayaq8FhKUJncq/ymL0oh5yjG1EdWnWmRt1gt9vJzc2le/fu5wTGy8jKyuLhhx/m3Xff5cMPP6z28++dd965lLd6cSgOChMPAyCdJ2hdELuL43MfR2dyp9m4D2j1wBwa3PQYYTdModHIl2n7yG+E9plE1r7lnPz12XPmd87hv4RGsgtU1UgSBAXpiY8XGov/+Q94eIhjH30ksvO//ioy9efjlluE3mJCQtUGn3Y7vPuuRESEgYAAl3ukX7Ocz9ekKlxRUgUAWYdqt2ItyCT74Goy9yzl5Lzn0Js8Cb1+AordRr1ed6EqdvJObCHvxBZUxU7DW56m7bT5BHYeWX4pa24KeSf+oTQ7gSPf3E/WvhXo3X1IrWBcZPAMvHBL+WXCbheLfoNBmH45S3GxSHBlZwuJBp1OBNsWLhSJrObN4bHHKp8TECB8CDSuDHa7nby8PLp3707//v2ZP38+x48f5/jx4yxatIhBgwbRuXNnsrKysNexMLy9tIjS/HR0toJafdkLMpB0eopSjqIze6GqCrbCTKTTQbKEPz/B7BdG64fnEjn8BTwj2mPwDMToHYJvi740G/cBze/6mJK0aE7Oe768K6vsWawoZ96vX4t+6IxuHNixudb3W5qfflHJgIrIsnheqqrw3Rg3TmiiLlwI3t5Vn6PTCXPrN9+EV16pLGtWkZ9+OpN41tC4GCRZh60wB/n0/tE3qg+SJJG88Vvq9bqLsAEPl5vnZuxajG9UH4zewpTGI7wtzcZ9QGl2IodmjSf6l6fJ3PM7uUfWk7nnd6J/eZpDs8ZTnHxUGHK66N9rXp7Czz/nEx1txeEQBrhnB8YrkpYGN94oujeqqfnBaBSFJCYTxMfbNON5jVqhqgrFKSfQu/kQNXEWfq0GVCF5IuHd+Dqa3zMTo199ABRbMYe/mkTinzPLA+Mg1rrJ677k0Od3Y8lJoemYd9EZ3UjZ+C2WnOTTwXjXQZbF18MPw7Fj4pm4ZImQIktJEc/YwMBzpVJ0OvHavyEgXhGXqxzv0aMHDRo04I8//uCee+6hZUtRxVtYWMhnn32GXq/n1ltvvWz3M3fuXObOnUtmmVCshusiyaKSVFVwWIqQDaYaGRUB6N28cViq1+4tTjmGX4u+F32rddFqe7VSV6221wJ6vZ7p06cTFxd3wbHPPvsso0aNYtq0adx99xnDLJ1Ox8yZMxk/fvylvNWLQtLp8agfhaoquIdGUZx6rNqxxcmHOfLVJDwj2hPYcRi+UX2QTe6UpEWTsnkOWfuWV9s+rthKcZTkI3sFXKJ34jyNGxvw8ZHJyxOaiW+9JTLzP/4IBw/C7NmipXTjRqGT+tdflQ39QkPFQua558TPVQXGy1i8GDIzVVq0MPL336WX8F1plDFgwACWL1/u9PibbrrJ5cxyy9CZPEjf/lt563f+yW14hLfBPTSKzH1/kLblF6y5yZXOMfrWJ6THGCJuegyDhz8pG0W1ePbB1TQe9QpBXUYR2H4IiWs+oyjx4OmzJNFu6iLRqNxcBz176gCpUiVNdbRsKTbqUVHQuDH4+orW8KNHRZB8xAgRJF+zBh54QMx5h0MYd3bsKLF6tZZYv1JYrVb69evHwYMHqx2ze/du+vbty/bt2/GuLvJaSzzc3Lj3zltqda53/Wai80pV0Jm9kCQZSWc4YxR22ggsL3or7vVb0rzNoErnFybs59TiV8k5ugEqJKbc60ehOuxYc07PbUkm+LrbURUHI28dSUbr+rW6329+XUZdhbDsdpFcLmP9enj0URFMS00Vld9z54pAm4eHqCifOhXq14f//lcYbZ6Pb7+F558XUi0u0tCicRViK8qhMGEfPk26k8hMDJ7+2IpySN38PQ5bKeH9HyKoy60odiuoKqqq0Pj2Nzk571kaj36NouQjRP/ydLVygpacJE789CTNxr2HR1hrlw2QqyqEhOj5+muJ83zUlpOdDW+8IeQBGzU614fn449FYllR4MABrWpco3bIOj32kjzspfkUp0XTaOTL2EvyyDm8DntJPjqjO95Ne2D2D6M45RgFMTvxjGhP9M9PlUt3VoWjJI+T856hxeSvcViLsealYslNxuRXu2fnpaYs+N2pE3Ts6DJLcZfjsuzUfvvtN3adTt0fP70D+e2339i+Xbi8Dhw4kIEDB4ob0ut5/fXXue+++xg3bhxDhw7F09OT1atXk5iYyGOPPUajRo0ux20DMH78eMaPH68Zcro4qmInP2ZHeatMUcIBAPxa9iP7wCqnriEb3PBp2p2M8+mUq3WTDSwsLCQxMYf8fNfKLl5qvL1lwsOv9F24DllZWSxYsMCpsaqqMmvWLN58801efPFFJEli7NixTJ06ldBQ12nhOhtVcYCqkhf9DyAT2Gk4mXuWXvC8wvh9FKeeoO20+aRv/UXopDqBpNOjKsoVl26IjDSQnKwSFibRooXQX3zgAdG+9sADYhORmQkNGggd4+PHYdMmsFiE4djgwSKwlpoqWsM7dxZax++9d+7vstnE+b6+2u7+cmC323nkkUecDo737duX5s2bX+K7qiWKA0mnpzjtjISCX6sBhPa6m6S1n5O29ZcqT7PmJpOw4gOsOSmEDXiQ0sxYCuL24hXZGVVV8G8zkJLMWHRmTwzewdjy0/Fu3BWTb6jLyMscPmzhhhtEpd/5KmNat4aZM4UZbloabNkC+/ZBQQF07Srm8JNPiiq55GRRMWc2izm8bJmoTi0qUjh2TNMbvxLY7XZmzpx53sB4GceOHeODDz7gpZdechmJMq/ghih2Kyb/cDzDhNykV8OO5MfuwlqQgV/L/uQe24hbcBMOf3437vWao/fwRVUcYrNehZSZbDAT0G4IqqqQe2wDINHgxmm41WtGcdoJzF4hl/ldVk1+vjDbLKNjRyFldOSIMA4bNkzMrzLsdmGe26nT+atWy1BVMbcvZFamoVEdisNG9qE15BxeR0Dbm/Bu3FU84yTwbdmPej3GIckyhfEHseQmYw5oiME7CLeghrSY/CV6szexv795Xp8dENKfp5a8TpupVT+TXYHGjQ14ecnMmuX8Ob/+Kubf/feLRBUIeYf33hPePBs2iG4Rh1Y0rnEReEa0JX3bPFI2zSawy61E3Pgofq0HCpkiCXKObiTu9zcozYyn7fT5pP4z97yB8TIcpYWkbZlLg5sew+AVdFqP/MrvQS+EFhivnssSHN+1axeLFi2q9Nru3bvZvVvoyYaFhZUHxwG6d+/OTz/9xIwZM1ixYgU2m42mTZvy6KOPMnz48MtxyxpXG5KOvOgt5T9acpLIj9lOUOeRTgfH/dsMRDaYyT22GdnghmIrOWeMOSACVVXrJGmfn6+QmOjAfNqg5VqntLRQC4xXwGq18uuvv2KrTjCzCn755Rfef/99YmNjASguLmbv3r2EhYVdorusGxS7ldilb+ER3ppmY9/Dp/n15B0/VzrrbEK63YFsMJG5d5lTv8fkH47e3eeig2/79u1jyZJlWCw21q//7MInVMHbb8vodCLYXaZ3+vLL4utsjEZR9WYwCL23skWLVRQZodOd0YHz9RWV6GczcqSofCstrV3CzWIpwmQyMGJE7aob/03o9XpuuukmbrjhBv7666/zjjWZTLz99tvYbDaXNOOUdKf/sCrMmXo97yLvxD/VBsYrkrb1ZzwbdqDBTY8hG91AUcg7/g/20nx0Jg+Cu95GvZ7jyT+1E7eQpigOu2gNdwGOHbPSu7c7ZrMIcleledqjh9AQT0iAMWOEnEPFj+yWLYVm+UMPif+OjxeBcZtNBPJyc2H6dJV9+yza5v4KIcsyX3zxhdPjv/rqK15y1i35EqM3eWDyCqAwfi+BHYaiM3tiyU0lsNMI8mO2k7nnd0K6jyV26es0aTUAv5b9yDlStURbRYK6jEI2upN1YDXmwEaE9rob76bdAZXCuL34t7v50r85JzAaz/y3u7swFDt6FAYMEH4dej20aiWei0VFsG2bCKo5ExgvY+NGrWpco/ZISNiLcihOPkxRyjHCbniYzN1LMXgE0PjW/yPnyDoKYvcQ2OEWAjsMxZqfgTUvBXtJAW5BkeRF/1OtV8DZ2PLTyTuxBZ+m3aqQhbjyBAToSE9XOXzY+V1ySYlIOPfrB7ffLoz/xo4Vc/KBB4QMxIYNIsGsoVFbdEZ38k/tJGzgVALb34yqKliy4lFsFjwbdqAgdhdFSYcJ7DQcSdY7ve8EyD64hrABDxHYcThuIc1dPjBethZ1kfy/y3FZPlnffvtt3n777Rqd065dO77++utLdEca1xqSJKFYKwez07fPp+mYdwm+7g7St8+r9lzZ6EbwdXdQr+d4JFlHi8liE1WcFk3GrsXkHPoLxVaCbHTHv82gOt3Ym82e9Os3tc6u58qsX/8pcG7C4d9MVlbVWen27dvz0EMP0bVrVzw9PcnLy2PdunXMnj0bgFmzZvHHH3+wZcsWcnJy+OCDD5g+fbrLVLpVQlXJ2r8cxVZCwamd5B7bROTwF4iZ/+J5XcMDOw4ntPdEco5uLG8bvxCBnUbUSfBt3bp15OWJf5vS0vxaXSMvz/mxVqv4uhgynPtfdF5KS2H9+vUXf6F/AaqqsnTpUkaOHMmff/5Z5RhPT09+++03unbt6ppz8zSqqmAObEj+ya14NGiLW3BjEtd86tS5OrMXJr9wJJ2e5LVfkHVgJY7SM5JhssEN/zaDCO07GZ3RHUmShC+ACwTIRZWplWbNTEydKirYKtKggQjG7dsntP+rUkI7ckTIH23ZIiQemjYV1eX+/mKj//zzImG1dasmd3SlOHnyJKfO7tc/D8nJyRw8eJD27dtfwrtyDqOnb7l2cdTdM3FYikjb+gsNbpqOZ8OOZO75naAuowjpNoacoxtpOPRZ7KWFlcz+ziag3RDq97sPVbHjEdqcwImfoTjs2EsLKU4+giTrUBXXkADy8hJV4Lt3i4BZaKgwuy0zsrbb4bSvKjod5QnpmlDT8RoaFVFR0RndAIhd+gZR93xCUJdRIAl98dLsRCKGPEH+qZ1E//oM+TE7yiWS2j/xOzmH19bo9+Uc/gvf5r0uxVu5aHQ6sY6sKaWl0K2bkCWLixNeAd98I9a1P/6okpWlkJamZZc1Lo4GN07H5N+AjB3zKc44hVeDdujdfbEVZhE+cCol6Scx+YVjyUnCXpTt9HUVWwnFadF4N+qMbDC5ZOW4zSYKsI4cgb17xWsdO0KLFmeOaQiu/O5EQ6MOUFUFvbtfpdfyY7aT+vePhA+cgs7sSdqWn8+pBveK7Ezj215DNprJO/43uUc3CodwNy98o/oSMfhxwvrdT8zCl3EPbYGkN6KhUVd4eXlV+rlRo0bMmTOH3r17k5iYyPLlyykoKCAgIIAHHniA//znPzgcDrZs2VJJ0uF///sf06dPv9y37xSSTk/2oTPVtaeWvE7j216l6Z3vkHNkHRm7l5zRJJZkfJp2J7DzSHwaX4fisOEW2BDZ6HZO8utsTH5hBHYYWifJq/79+5dXjptMHrW6hru7jCyLQNmF/N0kCYKDxX9nZp6/fdTNTQTeCgpEy3nF14qLVRSldlXzZZXj/fr1q9X5/zZ0Oh0mk4nVq1ezdu1aPvnkEzZs2IDFYiEiIoJJkyZx//334+np6dKBcYFEUOeRpG+bh2/z67Hmp1MQu9upMxvf9io6swfHZk+hNDP2nOOKrYTMPUvJj9lO83s+Qe/u6zKV4wABAXpiYlR695bo3x8q+iI/+qj4PmJE1YHxinz/PbRtK6rIjUax2W/ZUpgd+fpKuJg/07+KoqKam0Pm59cuKVrXyKerQ0tST6A4bBQlHSZz7+/4Nu9Jk9GvE7PgZU7Oe45mY/6HbHSnJD2Gpne+LZ6tu5ZQlCgkBpFkvBt3JajLKHyadENxOJCQMHgGkPLPT4T2HIfs5kXm7sXUu34Ctjoy1LxYbDaYMgXuu098X7bsXF3iMhwOkZSOiKjZ76jpeA2NikiSDp9mvUje8A2WrHhOzH2c5vd8iiUniYL4fTS+9b+kbfmZpHWVu1d0p9eW9pKafdbYi2tQeXGZKS1VCQwUz8CaFHyEh8PSpTBxYuXCkshIuOMO+OcfLYOlUXtUhx0kGZNvfdK2zMW/zY3U63U3pdlJWHOTsWQn4F4vihaTvsSWn47DVvMMj6rYMddrjqO0ENnohoRrBcdXrhQ+OFu2VH69Vy9RxDFkiCa1Uobr7FA0NC4GFQLa3nROhXjyhq9R7BZCe08kuOttZB1YRVHiQVSHHa9GnQnsMIyC2F3ELXv3nOrU7IN/YvQOIeKWp2k69j0kScZlXVCqwWCAZs2MBAToTmf0VWJibKSnaxn4K43BYODWW2/liSeeQFVVWrRowYYNG8jLy+PWW2/l999/x1EhSurm5saYMWN47733eOmll1ixYkW5UXBKSgpLlixh2LBhdSrdcLHGsREREYwePRp70Rk3SdVu4eRvzxPc+VYCO48kqs0g7MV5OKwl6N280Jk8yt2+ZZ0Bo199mtzxNjG/vYDDUvW9mPwb0HTM/5B1Bhw2C1k5ufz449xa33dubi5t2/YnIKB9rTo7TCaJe+/1wWiU6NjxTJa+Oh5+WBgPtWkjgunno6RE6DC++KKobM3Lg61bVby87CxZUvt/q/XrPyUwsIRWra68menVQlnQu0+fPgwYMKDSMbvd7rIGnGcjSRIm31B8o3qjN3tjzU8HLpxk8YzogFfDjkT/+kyVgfGKWPNSiZn/Ai0mfYHisAmdRxfA31/mrbckpk0TxraDB4vNg5sbTJoEX39dtYxRVXz8MTz+uNBLdThEFd2bb8Lnn8s0amQgJsZ5CS2NuiO4LPNYA1zFx0M5rUMsqtuyUWyloDiIWfBfGo36P5qNe5/8UztJ3vgdAe0G4xHWEntpId6Nr8O/9UDspQUoNgs6kwc6oxuK3UpezE6S139Fk9vfQO/mjTU3BQBLbgq2wmw8QqNIObjpCr7rMxgMcNdd8NNPooL83XfPP37xYpgwAV5/HacTUpMna5VzGrVHkmXcghvjEdaKoqTD2ItzkfUGMnYsJKzf/eTH7KAkM46gzrfisJZQlHQQS3ZiebGWzuheo9+nq2XBxuXg1Ckbffq4c9tt8PPPzp3TooWoGh87tnJgPDQUVqxQKShQOHxY8+vQqD1lnYp5J7dRv+995B7bTPyK9ymM31c+RjaY8Wt1A/V6jsfsF4Z7eBuKy83kL4zJNwxZbyJ2+Xs0GukasmwgFBM//FD44lTF33/D0KHw0UcwbZoWIActOK5xjSDJMm4hTcoXJxVJ/fsHsvavJLDjMAI7DCW4yyhAGAUWxO4iet6zoFQdLLbmp3Hy12doOvZ/eDZoh3SVfGqYTBLdu5tp0cKE0SgMikpKoFkz6N7djeRkO7t2lXLypLZZv1JIkkTDhg258cYb2bRpE8uXLyc9PZ1+/fpVKbdSUlLCd999x6ZNm9i8eTMLFiygb9++5cf37t3L0KFD6/QeCwsLyUpPwV7LKjKzTuxO5dMtp+UoDtJ3zCd9xwK8GnXGPTQKncENh6WQgtg9eEV2JLTvvRTE7kHv5otneGtaT/mZzD1Lydz7x+nNvIR7veYEdhqOf+sbsOSlUpqdiDkwArPRSFp89Lk35CRFBfnY7b61Pr9pUwM6nQiQ9ep14eD4lCliU3/smHPXnzkTnn0WHnwQOnVSadECFizQJIuuFFUFwa+WwHgZqqIQOfx58mN2OB24Duo0nNKsePJPbnNqfHHKMQoTDuAR1upibrVOkSQR0A4NFf+9bp0IxB04ILoxaqLul5go9MmbN4cmTURwrrAQdu9WiYoyasHxK0T9+vXp2bMn//zzj1PjO3XqRNOmTS/xXTlHaX4WisOGX6sBOEoLMPrUwxQQQVCn4bjXEya/nhEd8G7UBRByT/knt2P0CcHg6Y9sdEN12ChOOUZB/D7St/1S3oUVu/hVmt89g4jBj6EqCqlbfia09wQUm4Xi7OSLuu+9Bw5jPpV0cW8e8Tk6adL9LFhgBqTzJo99fM4Ex0eMgLOsrqokIgJGjlTZsGEt+/btu/AJTuDp6ckDDzxQJ9fSuDpQHXbCB03n+I/T8WrUFUnWofcKEPPVrz7ejbui2K3Ip7uP80/tJGPHQiw5yfg060nusY1O/y6f5te7jDTZ2eTkKMTG2nj0UT0//+zcfnnqVFEUsnCh+NnbWxjXP/ecioeHyqJFhVgsrmHirXF1oqoK9uI8/FvfQNL6r0j759ziKcVWSta+ZeQcXU/TO9+l2R1vc+Sb+7DmpV7w+p4R7TH51qMw8RA5h/8iqOtteIS2uOLSKnY7bN4MTz11/nGqCo89Bp07i0TVVbZ9qXP+5W//wsydO5e5c+eWV2hquC6qw07k8Bc4NmfKOW1ntoIMUjZ+S8rGb9GZvYiaMAuTXyixv79VbWC8/LqKndjf33Jph/CKeHlJjBjhhcEg88EHEl9+KUzCQBic3HwzPPqojmHDPNmypYRt2zQt1CuFzWbj448/5tNPP6Vhw4ZERUVVq0NeRnR0NBMmTGDlypX07t2bTZtEhZeqqpckeWMvLaI0Px0PN7cLDz6LrMRoHHYb3o2vozSjql5olYJTOyk4tbPSq2E3PExxynFyj25E7+5LYYIvXpGdCOl2J/V6jhctcrKMJMlY89JI+fsHMnYtxr/NIBrc+CgGgwGdraBW77eopATFfnFVKl5eMhkZsGMHPPIIfHoe+eb27aF1a7EwcZbcXKHN+MwzKgYDrFhRpOkxXgKU06WHdrudrKws9Ho9QUFBV1VVuLNIsgyqHu+mPQAVnZsPjpLztG9LOnyiepO8vmbeMJl7l+HZoO3F3Sx1Y5orSRLvvSfhcIgWcKNRaBl7eIiq73nzIKmG8b277hKGnPn5ZVJHsHw5mExQUnJx2iqaaW7tsNlsTJs2zeng+NSpU13GQFexWylMTyCo80jyY3cT0PZGWj/4PbaiHLIPrKI0Kx6jXxihPcdjLcikOPU4sUtederahQn7KUmPwRQQgaM0n4ibHgVJJifhMM50jpwPm82GJc/B4cPnX884w1tvzeKll6YBBtzPKrI1GODWW0X3VUVFsF9/hR9+EJ0bJ09WfV1fX1i82EFubjGLFv1NaenFSzd4e8ua8fy/EEmnx71eM5qO+R/5MTtRHDZCe95FUfJRMnYuIOfoRlS7BUlvwjeqN0GdRtDkjjcpjN+PX6sBJP416/zP29Po3HzwbzXAJQPjZezeXcqoUV68+aaQazgft98uikNSU1UWLBDP3uuuE8/LkydtLF9eTGGhFhjXuHgknYGsA6uqDIyfGSTjGd4Wa34a7vWa0Wz8h+RFbyFr3wpK0k5Ue1pw19GoDjupm+cAUJJ6HPd6za64tIpeD++/L4LfF0JVxdiyJBX8ezuqXPfT1UUYP34848ePJzw8nKSa7pI0LiuSTo/RO4SoCbOI++NtChP2nzPGHNiQBjc9jtG3HjlHNzhtuFDuEN6km0svSgwGGD7ci+JimQEDpHM2BYoCf/wBf/wh8fzz8MYbbpSUKOzfr7WsXQkMBgNNmjThjTfeYNmyZURHO1ftvHr1ak6ePMmyZct4+eWXmTFjBm3atEF15glYCzzc3Lj3ztoFZBS7leAuo0jfNg9nNty+LfrhGdEOVBX30ObYi/OQZB0GDz/sJflIOj2K1ULqPz9QmhUvtJFVEXSyZCchSRIGvb7W9/vNr847lJ8PVRVtan/9JdpFq2sxrV9ffD98uOrj1XH4sJjv8+cXaDJJlwBFUTh27BgfffQRc+fOLdctbty4MQ8++CAPPfQQbm5uLhFAqwtUh528k1ux5KYR3GUkge2HkLa1+oSwzuyJrDNgza1Zhaklt27WUXVhmgtVS6YU1C6vBoi28LLW8EuxZNRMc2uOwWBgzJgxLFu2jB9//PG8Y0ePHs3EiRORXchMKy/5OF4db8S7cTdUh4P41e+TfWA1qkN0IoTd8DDWgkyMXoEkrp5Ro2tn7VtO2MCpJP01C69GnfFvcyOWAueNyM6HxWIgMdGB2ex5UdfJzCzm8ce/ZMaMhxkyRKbMbqVRI6FB3rIlrF8v9IoTE0VgrW9feOAB8drrr8N//3vmerIsDHbfecdB/fo2Xn75ZxITZaDmBQAVKS0t1ALj/2IkWYdneBs8w9siyTIJq2eQsXNhpTGq3ULOoTXkHFpDYKcRRAx+HNVhp8FNjxK7+DXOv0aWaHA6geXKxMfb2bevlOeeMxMWpvLaaxJnb20CA0XhyIsvqiQn28nPV2jZUsJuh337HBw6ZKGoSAuKa9QNkiSjN3ued03r3/YmQntPxOQbSkn6SfKityDJenyb9ya4yyiKkg6T8OcnFCdX3qyF9BiHb1Rv7CX5eDftTn7MdkC92PxynZCeDhXsyS7I0qXinHnzYMECuP9+kcCCf1eQ3HWjfBoaNURVFEqy4tEZzDS/ewYl6TFkH/4Le3EuOqM7Ps164dWwQ3k7Wu7RDTW6fs7htS7rEF5GmzYmfH1leveWyM6GJ56A668HT0/R3v3PP/Ddd5CVJSpqGjaEu+5y5/Bh6wVNAzUuDXq9Hi8vL7777junz1FVla+++orXXnuN9957jxtuuIGbbrqJkpISdDqdyxgA6k3u6E1uSGYPQrqPIW3r+UUI/VrdQOTw57HkJJO+Yz7ZB1ajWIuB04abnYYT0P4WdG5e6Nx8zqk4l2Txvm2WK2smVlSkEBgITZuKhNS334r59/vv544ty2fUtOhfkoRsixYYr3sUReGHH37gvvvuw37WB2NMTAzPPPMMn332GX/99RcRp93crvYguTDOXUPukfXo3bwIvu4Osg+uwVZYddecqpz+/yLX7LNGkutm2XmxprmSJExzCwpEMDw0VHwvs1gwGiEoCDIyamYsFhQk5nxW1plrOBxinpeW1k3luGaaW3NUVWXOnDk0bNiQmTNnnmO46enpycMPP8xbb711he6weqxFuViL8zC6exH9y9PnmOXq3X2xF2Vj9Ao87RcAHg3aEtRpJN6NuqAze6LYSilOiyZz9xJyj24sn7/WggyRUPYJIe73t9EZ3Qlu1pW4nFTUC3RVOoPZ7Fkr346q2LvXwqRJZp57TsLPT7SLFxaK7qv9Z9XCLF8uAuJPPw2vvAIjR8KqVeDlBUOHqoSHSyQmqixaZKFRo9tp1Oji72/9+k8BTd7s30zZGjR5wzfnBMbPJnP3EnQmD8L6P4Bfy36gOIhf9RFKFetX2eRBxODH8WvZD8VuRSebL8Xt1wmhoTpatjRx8KDK0KES99wDq1eLTkqHQ8iO3XqrGCtJkJXlYPduCx4eEqoKhYWKFhh3UWy2ytJwV8u6V1UVipKOVNPBDKG9JxLaeyI5h9dyatErFKccPXNQ0uHTrAf1eo6n+V0fEbPgJfJPbsMcGElI9zEEtBtMyqbZeEa0x71eFADmoMYuId4dG3t+742AAJFA7twZ3N1FYUdBgejgWL9efD37rDDzbNbs3xMg14LjGtcEquIg/9ROYua/hOqw4RXZiaDOI6nXfSw6sycOawnFqcdJ2zaP4OtGAzV3CHeUXkQ52WWidWsTixeLoPjdd4sKmY0bITtbmIS9/jq89hrMnSvGvP023HcfNG9u1AxPrhBlEg1xcXE1Oi8+Ph6DwcDo0aP56aefkCQJb29vTpw4QePGjV0iQO4ZHIlis2AryCRswIMgSSJzr577tPZu1ovI4S+Qc/gv4v5450zw7TSWnCSS/ppFxq7FNBv3AfW6jyFjx/xK89KjfgtUxUFRRsIlf2/nIzraRp8+YlGxZo1YbCxeLKrcPvtMbNJVVcgvdOwozunQoWaVph07ik2ERt1is9nYuHEjkydPLpdVqYq4uDgGDhzIvn37OH78OB06dECSJJeYd7XFcfqZmLzuC7wi2tNs/AdE//wfrPnnCv0qliLsxXl4hLUm98h6p3+HR1grVEW5aC3G9u3bYzCEk5npVqvgW9u2Rvr2dScyUqKgALZtgzlzRPL47ruFFvFtt4lKmnvuce6aHTvC7t0iELdkiQiq79ghAu8LFhSQkHBxGWjNNLf2SJKEJEm8+uqrvPDCC/zwww/sPx1Rbd26Nffccw9ubm7l41wJSdZhdPMiffv8cwLjINa/6mmzeKNPMA1unI5HWCtKsxLI2LUIW1E2ssENnybdaDTyZWyF2Zxa8hqFcXvKNZBVhx1QSVr7Oa0f7o1nUAMK0mIv47u8MPv3W+jSxcxbb0HbtqLle9Ik4afj5XWm46N7d2Gy2bixaCvft08E0P39xZjsbImQEJX5811/Ta9xdaEqCg5rMWnbfnVqfPr2+QR3u4PipCP4RvXBp/n1ZB/8k9yjG3CUFqIze+Lboi/+bQYhSTKnFr1Cw6HPXOJ3UXskCQYN8mTHDrjhBglJEpWnkyfD+PFCriwtDV54QexD33hD4p57zLRvXznYHxdn48ABCydP2pyShNC4tDgcDhRFYcGCBezduxdVVWndujV33nkner3e5de9quKo1jTev91gQntPJGndl6Rt+amKkx3kHd9M/sltNLr1vzQe/TqlGadwr9cc1WGnKOUYKZtm0/zumbgFN8YcEIFXRHtUZx2hLyHVqT/6+wsJlTFjxM9btwpJwRYthF9OvXpCjve11yAhQUiW7dwJYWFiDl/raMFxjWsCe2kBpxb+F9UhArwFsbsoiN1V5VhJkgi+7vYaO37rLrI19FITGqojMFBHu3ZiM/7qq/DNN6LyrYzAQLGZeP556NIFBgwQgbrWrbXg+JXAZrNx6NAhOnTogMlkqtG5ZeOXLFnC1KlT+eqrr3jnnXd45plnSExMpH79+le8Ndxg9qA0JxH3oMbkndxGWP8HCOw4nMw9S8k/uR3FVoLewx//NoMIaD+EwoT9xP7+NqjVV6xZc1M48dOTtLr/W5rf9THH5z4utBplHYGdhoMkkZ9aezPOuqCkRCUhwUbjxkYee0xIGU2cKIyHVqwQm/riYtHRodOJ5NXDD4vguTMEBcFtt6n888/Fa6RqVMZgMPDKK6+cNzBeRmxsLHPmzOH222/nlltuYenSpUiShKqq52wWHA7HJdlAfPnllxSWlTvXEl9fXyZPnoxsFIK+tsIsTvz8FFETPqXVQz+QfWA1GXuWllfdmIMaEdRxODqTB4HtbyZ5/deodif+FiWZoM4jUVFZv24de/bsqfU9b9iwgexsIwEB7Wt1fkCAjuPHzySkoqPL2rwhJweOHhXzdMwYkUS+kOyRJMHLL4sNxR9/nHk9L0/F11e96MC4Rt0gyzJubm5MmjSpfD46HA6XroDzDW8Bso6M3UurPG7NScavRT8c1hIihvwHh7WIEz8/RcGpXSBJ+DTpRmDnkXiEtwFA7+5D0zH/I337bxg8/FEddqx5KYBIQufF7MCrXmOXC44XFqrExdl45BEjiiISzH//LY7Z7bBrlygCad4cYmJg+3bxuvl03C0khAqyJxJjx3pz8GApR49aOasgUkOjlqhk7V2G6qRvjeqwkrV3OYGdhnPoi7uJHP4Cge1vJqjT8PIx1oIM0rb+QtbeP5D0RnRG9/Nc8coSGWnA31/mscfAcnpJ8MMP4qsioaGiu6NjR/jzT5XPP5c4fFg8Rzt2hClT9AwdaiA+3sayZUWaIecV5v333+f9998nPT290uuPP/4406ZN4+WXX3bJxHI51WVYJJn6vSeRfeivqgPjFS/hsHFq8au0emAOendfsg+vxbd5b4xewcgGd8yBkeiMboQNfARVsddZl+TF0KLFGeWAMurXh7VrRYD8pZfOqAmU0bSp8AF4/nlRUT5qlIgj/fe/Yuy/gSv/L6ehcZGoioPMXYtRbM4ZS6Zt/ZXAzrfiG9WbvOObnf49vlF9XNYhHIQJoN0uAuDXXw8HDpw7JjMT/vc/EYRbt05Us27aJNGt278gFehCOBwi+FtaWsrIkSM5evQoffr0YcuWLU5fo0+fPsTExGC325k9ezb/93//h4+PD+vXryc0NPRS3XqNkZCRZB3p2+aRsuFbAjuPIPT6CYT1f6B8jMNagqwzkLJ59nkD42VYc5PJ2r+CgA7DiJr4OdE/PY5P0x4YPPwpzkk7XQV3ZcnIcBAerrJsmVQurfLtt8JsqHNn0baWlycWKf37wxdfiE2BM/HCMudxLaFVt6iqyvHjx8tNbp1h1qxZTJs2jREjRqDX64mPj2fmzJnMnTuX9PR0PDw8uPnmm5k2bRrXX389iqLUadKqsLCQrPQU7KW1lxLqc/3dKA47vs16lT8TLdkJRP/yDC0mzcK3RR8COw6tdI41L430HQsI7nY7Id3uIPXvH6q6dCUCO9yC0SsIgGMH9pAWX/skVlFBPna7b63P1+slioViEzfeKKpNT50Sxri//irkGHr0EM/MlSvFmKNHq76WLMPMmTB8OIweLVrHy/DxQQuMuyAVg+FXOol8IbzqNaI45Wi1+v5ZB1YR2mcSDmsxiq2U43MewVaYiTmwIY1vex1zQANKMk5RlHwUWW9AknXo3Lyp12MsqsOOojrIO3Fm7VFwL/pMFgABAABJREFUaiehDdpdrrfnNF5eEv7+Yv195Ah88gkcOiSOjR8vuiC3b4fBg4WMQ8V4SJs28PjjooJ1zhxhOjZpksywYe507uzG778XkJV15Sv9NK5eVFVBknUUJuyr0XmFCfup13McOpMHboGRIEmUZidj9Arg1JLXxNw8vS4O6/+gywTeqqJNGyO7dqns3Fl9kNTPT6x7PTzEmnfv3spjjxyBn36S6NsXFi3SM3y4J4sWFWjSn1eIqVOn8tlnVZueZ2dn88orr3Dy5El+ODsD4kpIMh6hLc552adpd4w+IaQteMmpy6h2Kxk7F1K//wN4NmhHfsx2fJv3IqjrrejdvLAV5+HT5Lo6kSSrC8xmYRL/+efiZ5NJJKXc3MSaNybm3HOio4WywMqVonPys8+E9vgvvwgfLR+fy/oWrgiuvSLU0HACSdaRtW+F0+NthZlY89Lwa3UDOjfnZrnBMwDfqN4uGxgHUQmn14sPwqoC4xU5fFiYBPbuTZ1oLWrUjDlz5pCTk8O3335LXFwcR48e5ZFHHnF6k+7v78+YMWP48ssvASHN8vXXX3PXXXcxa9YsoqKisFiufFWxw1aK0ScYEPO0OPUY8cve5cDM2zj63UMc//ExbCX5WLITKc2MozBur9PXzti1BFmnx+QbQsv7vyV80CMoDgfpR/+5RO+mZtjtok3NcdYaaft2mDUL3ntPbNBvvVUkrBRFLFpatTr/dadOFYG77dtLtWqaOsZut9coQQVw5MgRLBYLU6ZM4bPPPqNJkyZ88MEHpKWloaoqhYWFzJs3j969ezNmzBgURalz41x7aRGl+enobAU1/vI2QcdOXZAkGb/WA9G5eZdftzjlCHknt6PYrdgtxSgVFvx6Dz/82wzCVpRN/b73EthxeFW3Vo5fy/40uOkx7KWFpCcnEH9sT63uV2croDQ/HcXJyrzqKC1VCQ2Fdu3EPFyzRiSt5swRlTKvvCJav9u3F0ms7dthxgxh/leGuzvce6+QbXjgAbGBWLTozPGOHSE0VOLoUS2JpVF7ZL0RW2H1Jpm2ggwKEw6gN3sRt+yd04HxSJrfPRNJp6ckMxa3oEYYfYJxWIqwlxQg64ScisNajCwbCL7u9nKjP9VuLddOdhV8fCTGj/dBkiSGDBHB7s8/h02bxPy85x4x9/r2PSNbVpGDB8VcnT4dJkwQ1XO33irRtKlEXJzEqFFe+PpqW2KN2lMmo1DT4owyY93IYc8jG8zYSvIxevlTmptMvR7jygPjBs8AAjrcApJrzc2KBAToWb78/NXD774ruh8HDIC9e6sft2EDDBok4e+vo2tX19VYv1ax2WwsXbq02sB4RX788UfmzJlzjia5qyDr9LiFNMH9rAC5X6sBFKcepyT1uNPXytq/EgkJo1cgWfuE22Vg+1vIj9lO5q5FLhMYL+OZZ84EtO+4Q6xphw+vOjBekdWrRbHIffeJavJ+/YQsmcUiJANr4sVzteG6kT4XYe7cucydO5fMzKpNqTSuPKqiVKmJWhXeTbpRr+ddmP3DUBUHETc/yamF/1elBnI5ko4GQ56sm5u9hISG6jl2TGT7nGHtWrEw6dNHpbhYq5i5HKiqygcffMCqVauYPHkyX3/9NWazmRYtWmA2m3nooYecWoj897//RZZlvv322/LX9uzZg6enJxs2bKCkpIT8/Hzc3Nwu5du5IIXp8fhFtEaxW3EPjTrt4g2O0sJywxNbbgoG7yDyY3bU6NqlmbE4rCUUxO3Bp2l3VBUyT+zAYbvySQEAq1XFw0PIppwdIAcYNAh++01k8I1GoU8+dixs2SI2/V98cWbxIkkwcKCQfRg+HPLyHOzY4VynjEbNcFT1j3UWRqORwYMH06BBA8xmMzqdju+//57p06ef97xff/0Vs9nM7Nmz6+huz+Dh5sa9d95S4/N8w1uUt8JKskyDG6cTu+QNQESXSjNi8G7cBdVuI2vfMoqTj6IqCib/MALb34zRMxDFbiNiyBP4tRpAxq5F5B7fDIoDJBnvJt0I6nwrPk2uw5qfgcEzAKnoaK3utYxvfnVSf+g8nDplo0sXM7NmCWmVO++E0tIz8igLFwrTaoBeveA//xHB72nTRIupxSK6tIxGyM0VHR8VPo4BmDJFJTdX5dQp19wwalwlqKAznV9KwWErwZKTdFpKRUfj0W+g2Eox+oRQGLeX6DWfnX7Gno4ayzp8m19PSPexuNdrRv0+k/Bt0Y+Tvz6NwSsQxUWeoyBMwO64wxtVhQEDJHadpZj4zDNiDt91FxeUR5k5Ezp1Eu3kX38tDMv69ZPYuhUGDfLgt980HXKN2lHmo2H0qVej84y+9U6fF4JsMJH4x9uED5yCLT8DnybX4RbSDFthFk3Hvi+C58U5GD386/z+6wKDQRSFVIefn+jyePVVUaF6IXbtgq++kpg0ycS2baXnNRfUqFsMBgMzZsxwevwnn3zChAkTLuEd1R7VYUdR7NTrdTcx81+k7Dmo9/CjNDuxRtdylBbgsBRRnHYCa4HQrdV7+hOz8GUkWU9o74l1fPe1R5aFlNiKFXDLLUIuZdUqUdDhDN99J7zqtm8Xc3ffPvjpJyELGhYm1s1eXqK461rSIteC4xdg/PjxjB8/nvDwcJJq4pamcdmQZFlk0i8gxxDUdTQNBj1CQfw+Yha8jKoqNB71Co1u/S/xK94vNyOriN7dh4ib/4NPk+6iZe5SvYmLRKeDsDA9T9Ywhv/VV6I1ddOmazgF6CIoikJsbCz/+c9/GDduHAAnT55k3rx5GAwGli9fzowZMyguLj5v8OyVV15h+vTpPPLII2RUEJQvq0ZVFIWcnByMRuMlfT/OYC3OoyQnFb3RRGCHoaT+M/ecRFTWgVWE3fBwldl22eSBX8v+mP3CQKfHXpxL7tGNWLJPG24qDgrj95FzaA2NRr6Mzlgz3fZLSXq6HaNRYtgwIV9UkQEDhC7x6tWitdTNDd55R7SvvfyyyNQ/9ZTYPBQXC63U0FCxMJk1Cx5+WIefn0xOjrZTqEt0Oh0tK5YGn0VQUBCPPfYY9913H8HBwVgsFmRZRpIknn/+ead+x5w5c3j++edp2rSpS8g5mLwDcZTkoXPzpijxMH6tBoCqEr/qI0Kvv4eQbneSsvl70rb9imKpvOtN2TQbv5b9iRjyJJa8bNxCmtF41CsoDhuKpRjZ6IasNwpN46Ic9O4+FGcnk59y8gq92zMkJdnJynLQvbvM1KkSJSXi9QEDICpKzMEy8vNFMO3VV0VyKipKBMWzskTb6fXXw48/Cq3j46cLkPr2FRWq27dbNEMxjYvCYSvFI7wNOjfvKtepAN4NO5K65WdAxbd5T1EAoipk7l5CwqoZlAfFy1Ac5B7dQN6Jf4gc8SK+za/H5Fef5nd9jGxypygn5ZK/L2dp186EySTx/vvnBsaDg4WU0bPPntE4vhAffig8QEaMgAULRHLrqackfv9dT0iIjrQ016r807g6kCSZ4tQTBLQfQuaeqv0BqiKwwzCsBZmUZsZjDmxA7tGNmAMiCOk+Bmt+BhFDnsDoHQKoOKwl6PTmOjG1vhSUlqrUO09uYMIEsV/95hvnrzlrFkyfLtO0qYHjx7VE8+UiPT2dtWvXOj1+586dREdH07Rp00t4V7VD0unR6f6fvfOOjqr62vBzp6b3Qgq99y5FqSKI9A5SBASk2gv6E0UFKxZEUFAQUVBQpBdFeu/SO4QE0nsm0+fe749DAiGFhAQY/PKslQXccubeRc6cc/Z597s1+FR7lPAnJnJt0zeAArKMJN1dPzJc/Refqi1RZAdXVryPKe4iLgHlAbBmJKL18LvrtksSjUbUmDt/Xgg6+vQp/L0Wi8imHDtW2LDs35/z/AsviM2ur74Sli35FQB92Hjw/2ullFICuIcX7EXgW+txyj4xkbi9v3LhlxdIPbeDtPO7uLx8Cl6VHqHupD8o33Uy3lVb4lGuPt5VH6VC9/9RZ+LveJZvhN2U6nRpprfi4iKhVktcuFC0+86fFwVKr14tnXDcD2bNmoWiKNmpZx9//DFdu3bltddeo1u3bsyfP58ff/yRPXv2MGjQINzdRdFYX19fxo0bx4kTJ3jnnXd44403mD17do62a9asicViISUlBQ8PD7ydxBgsOfI0GjdvdN7B+Nd7Mvf5E38DEi5+ZbOPaT38Kfvky9Sd9AflnnwJ7+qt8KrUlDLNB1F77M9UefpzvKu3Qu3igT0zmZTTW0g68Tfe4dXBSbawbDZhrTJhQs7jrq7C03jrVhEAb9dOFCt64w2xOz9hggiYJyaKwoDHjwtF6qOPQoMGwjc1KUmhbl3n2Qj4r6BSqWjZsiU1auT2JqxRowYHDx5kwoQJ/Prrr9SsWRMXFxdOnjzJqlWrcmyeq9VqfHx88t2gKooa516jUqmRNOI5zUkRXFn5Pj412lD3+T8JbjaAqL9nErNjQa7AOACyg5RT/3Dx11fQuvmQfGoTGVEnQJZJOr6R61u+5eyPz2FOuY7W1RtJUhF3di+5AnUPAEkS46bFIvHLLzeP9+0rxsVdeZQjsdlEMO3DD2HqVKFCvXoV/vhDWDtkLTp69YJ16xSuX7dz+HBphkcpxSMl6gySpMa/Xuc8z7uFVEfS6LFnpgAQ0KgnDrMBw9V/8w6M34LisBGxajrm5GtIkoTa1ROtuy/p0Q+2qPWtNGjggkolsqlup3t3oY4rSjLO8eNikd+//81j69dDVFTpuFrK3aEoMubka8TsWIB7aE3cw2oX6j63kBq4h9bAnBSJZ/n6RG74AhQHScc3oNa5Yk2PwzW4CqkXdnF2wXNEb/selc5VDGBOyLVrNgYNUvINkjVsCIcOieyrwnL2LFy9qhAU9B+JvD0kxMbGFtkC0JlFpDZjGgCBjXtRffgcfGu1x5oej1uZahRl3ajzLoPa1RNLejwBDbuTcmYb6ReFnafGzReAtIt78y8C+gBQFDFOQv61c/Lj7FnhXX4wj+Ruk0lkYD32mMi8LETi7UNBaXD8/wk2mw2r1eq0flDFQXHYCWzUM/8LVGrCHh9LyuktXN+ac3addmEPp+YMJGbHAjzK1adyvw+pNmQmlftNx7PSI0Rv+4Gr6z5F6+7nvFWYufkdXNS0lqzrS72L7z0qlYrffvuNihUrMmbMGGRZZuzYsWRkZPDdd98hyzLPPfccvXr1omLFiixZsgSDwYDD4SA5OZmvv/6ac+fO0bp1az799NMcbUuSxJgxY1i6dCktW7bEy8sLtZPkOJnT4lFkGUWRKfvkS3hXbZnjvMNiIOXMNjzK1sXFvxx6/3JUH/4tPtUfI27fr5z8pj+nvxvCmXnDOT6zF1dWfoBa6yoUqnabmIQACYdXoNG54uZXtJTWe4VaLXbRO3SAESNuHh80SFQJHzsWmjYVx774QlQC379fBMlfeUUE0KtXF6niAQEicA5iJ3/1aong4NKFwr3AZrPxym0pOKGhoWzatImMjAxq167Niy++yNkbM8waNWqwfft2NBoNvXv35p9//sFqtZKSkoLFYuHUqVNMnDgRL6+bXt7bt293CtU4AJIKSaUFJDRuPqSe2capOYNwmNLIiDhKwqEVd2wi8/ppYvcuwb9uJ678ORWHJRNJoyPh0AqMMefIuHwQRbaDJDmNH2P58hrc3VVERIDBII75+IginFeuFK0tiwWio4VV0tmzCn/+CdHRNtauNZSmgZdSbBxWMwoKZVoORucTmut8YKOeIDtQaV0ACc/yDVC7eBC37zcKsxGlOKzEH/gdldaF5OMbAanYnv4lRUiIGk9PFSdPSnn2y+BgSE4WG8lF4eJFoTrPQpZhzRqJgIDScbWUuyPh0J+kXdqPMfY8FXu+c0PtnT9aryAq9fkAh82MR9m6RKz+kPQb81lbuogea939yIw+Q9SGL7AZEkk5tRnZZnba9ejx4xaCgyXmzBEWnwcPwu7dQuDRooWocVWQ7Up+GAz/HVXqw4KbW8FWXiV1z/1AUWRUGh2yzYItIwG3MtWo2PMdfGq2Q+8bilelpoVuK6BhdxwWI66BFdB6+KH1CMCr0iOAhF/tDsgOOx5htZ1KUClJcO6c+HtRlx5Z17//fv7X/PuvqOfhJGGHYuMkq7NS7gVZ3qkpKSksWrSIr7/+mp9++inbP/2/EiiX1Bp8a7bFNbhqnud9qj6KzjNQWDrkgd2YRty+3zg152lOfN2HU98NJen4BpAdJJ/6h7B2o4tcYOV+YzIpmM0KTZoU7b6mTYU3sslUGhy/H4SGhrJv3z4qVarEpEmTSEpK4scff8SUldMPrFy5kqFDhwLwySefMG7cOAYNGkSFChXo27cvO3fuzNVunz59qFSpEnPmzGH8+PEYjcb79k53wjO4Aiq1BtlmRUKiUt9pVOj5Dh5l62VfE7nuExw2M8EtB1Nl4Kc4LJmcnT+G2F2LsBmSsq9THDZSTm/m3KKJJB5ZhaTW4FGuAQDG6DNYUmNx9XGO4HhWn9qwQeysv/yysGIYN06o1CIiRIopiOB4eLhI9Z41C2bPFhONsDBREGXECOFPnjVJSU0FrdY5F0cPO1qtllGjRjFp0qTsY++99x4ajYaOHTvmUsbodDr8/Pw4c+YMy5cvR6/XM3HiRPr27cvw4cM5deoUX375JdeuXaNnz54AmM3OoyZ2WE2otDpUag3elZsT2KQ3VZ7+Ap1XEPGHlhe6naR/16JSa/Gt2YbEf9fiX7ejULiBCLRJEkgqNC7u9+pVikTdunoSEpTsjeVnnxW+xXXqCN/UouLmJqxUAgPh8mUr69ZlYnfuaUMpDwnuAWGoVGrUejeqD5uVPdd1D69LULMB+NZ5ArvFgE+N1qh0rkgqNdb0+Jx1PCQV3lVbUrnfR9Qet4Q6k/6g5ugfCW07Gp13GVJObUaxW1FpXZBtJrxCKj+gt82Jl5cY9FJT8z5vs91d0Eyrze1Pnp5eOq6WcndIkkrU0VFkLi17C0V2UH34HPzqPpmdmZV9rVqHX52OVH9mjsjSuLifcz+OI+X05luuEYOQzqdMDgWqbDORfnEvshOuSSUJqlXTYbMpjBwpxtbDh0UmVqtWsGcPtGwpNrSKSkBAqYjrflOpUiXKly9f6OsDAwNp0KDBvXug4iDLqLR6JLUWrWcApriLnJ73DPH7fsVmSKbMo8OgEMFsrUcAAQ26YEmOokyLp0k9vwu13o0qAz+lxrPf41e3oyj+GVQpu0CvM6DVkh0fatSoaPc2bCg2oF9/veC+++uv+Y/TDxul+3D/UWw2GykpKbz88sv8/vvvWG8pKzt+/Hh69erF559/TnBwMCqVCrVajc1mQ3s3q0InoeqgGVz49RVMcTnTQf3qdsJw7SSm+Dv5nCo3AnFJxO1fhn+9ztQcvRCNi7tT7QDmR0yMjbFjtXzwgVSoRblaDWPHKpw7Z/3PpMI4O+vWrSMyMpInn3ySlJQUZs+ezfHjx3Ndt3nzZv755x9Gjx5Nhw4dOHr0aL5ttmjRggULFrBq1Sq8vb3p27cvgNMoUz2CKgCg0ug4u/A5yj35Mr7VW+NXqz12UwYOiwGVzhW11gX/up1wWDI5vWgSNkMBRZAVmai/vkbnFUz44+NIO78bULBlJqPSPNgipFmkp8vExTmwWFR8+aXE558LVXhQkPAzHjjwZpHN2xxysjEaRbD84kXhbfz222L33tcXbLbShcK95Ouvv6Zp06b88MMPPP3000yfPp2YmNw+vGlpabz66qtcvnyZBg0acOy2Sjc//fQTISEhzJw5k+XLlzNgwACSk5Pv12vcEUtmKh6Ux5QUid4nlPAnJmJOvIpsM5N2YW+h27EZksiI/BfP8o24tmkWIY8Nw6tiU1LP7UDrGQBIKIqMR0BZUq8VMa+zhNHpoGJFLStWSHTuLPrlxx8L2wazGYYOFWmkd9rDaNhQZIC0aAFlykBkJPj7g8FQ2jdLKTnUWcE1SY3GzZuaz36P3WxA4+KBbLcg20yo9R54hNehxsh5AJiToshSjXuUb0j5rm+g9y5DZvQZUs5sQ7Zb0HkFEdioB8EtBpFyajM2QxKSRk/6pQPoy+S2lnowiGB1QEDeZy9fFplYt/r954erq9iEdnUV/qm3F68PDASr1XkCGqU8XGQFw2yGRM4tmkD5p16jQrfJhHcYT9rFvTjMGaj1HnhXaSHqb8SeR+cZwNW1HyPbTDna8ihXHwBz4lU0rl45ztktBpzBmuxWJAk6dXKnalUtn30mMXs2XLuW8/wTT4i6OvXqQc2acOZM4dpu1w6CgyV27HC+DYH/MlnZzIWtpzNy5Mh7su6cN28ehqz0vrugXbt2NGzYEFl2YM9MQevhT8LhlZgTrxKb+DOGqONUGTSDit3/R8Saj1AceQtHtR4BVBk0A5XODffQmlzb/C3x+5cCYqO6Yq93QFLhsBpBUmGxOvguLy+wIuDh4cGYMWOK1UYWKpUQZU2YAIsWFe4eLy/hKf7110KoNWoUTJ+e97VmMyxeLArXO0HJs2JRGhz/D2K324mPj6dFixZERUXlOm+z2Vi2bBk7d+5kx44d+Pv74+XlxdatW2nVqhVarRbNQ5a/JKnUqF08qDH8O5JPbyHh8EqM0acBsfOeGXWiSO2ZE66gyA60bl53vvgBU62alpYt3fDxEYPSmDFiAnInRo6EsDCJbdsKWcWolGLj4uJCly5dSEpKKtD2RFEU+vbty19//cWOHTuYOXMmc+fOzdGfK1asyNixY3n++efZv38/S5cuZdWqVSiK4lT9V6N3Q3HYSbu0H1PsBVJOb8U1qAqm2AugUqH3CcFhMaI4HCgoJB5bjy2jMIaECjG7f6HG8Dl4VWpK+uUDqHVuOJwoI+bkSTPdurlRtaoofvvCC0I5npEhduE3bMg/MH4rGzaIwrkTJ8LMmdCjh8Lly6ULhXvNwIEDGTp0KDabjfl5VJCSJAlFUYiMjKR169ak5iObiImJYcCAAfz888/8/PPPbNiwwWk2ox1WE6Cg9wrGkhTJ5eVT8KvbkYAGXe9Y5Pp27MZUtB7+WNPjUGQHGncfVHp3fKq3whhzFvew2ug8fO/NixQBV1cVKpXE0qWiKN+HH4qCuJMnQ+XKop/275//AqJyZVGk6NFHISpKZIL89ZcI4PXuLVGnjg4XF4nNm42lardSio1st6HIDjKijuMRVhuQMVw9SsLhlWREiAqVklqLT/VWBDUVm+P6G/Yr3lVaULHP+xgij3Plz3cxxpzL0fa1TbPwq9ORsMfHAeCwmUC2o1I7xxwiM1MEHGvVgho1cvulrlkj6nOMHSuys/Kifn0YP14s8t1vSVxp2RKGDYNly8S/e/cuHVdLuXv0fuFCPQ7YM1O49Ptb6H3DCGjYDffwuqj1bjgsRpJObCTxyGr86jyB3q9srsA4QGDjHhjjLhK3dwkVe76DS0B5zIlXAdC4eOIstXWyaNHChapVtfTrJ7EiDyc2RREF6Bs0gLg4EaCbOLFwbU+cqBAfL3P9emnfvJ9oNBomTZrEokWLsm0E86N8+fK8/vrr9yQ4bjAYSIqPwW6+Cz8ewNurG3azAbXOjbQLewls1A1D1E1RmiHyGFdWvEfFnu9Qc9R8Eg6tIOnk39l1dnRewQQ07EZA4x6otK5IKhVXVk0j5dQ/2W1kXjvBuZ8mUGPEXDSuXsh2KyoJ4iLvvnaHyLIMuev7b0elgrJloUIFIcz655873sKLL4pCm998I1TjzzyTf3AcRPalkzo+FQnnmP2UUqJoNBr69euXZ2D8VmJiYujXrx9Hjx5lz549PPbYYzRu3JiZM2fSvn17p/EsLixZ6m6/Wu3xr9sRxWEXPqcqNZlRudW5d0RRyIg4gkf5hiXu73bs2DFWrVqHxWJj27ZCRLLzQauV0OslTCYRcHN3Fz+urqJQQn64uIgFfXAwWCz3RyljsWSi12vp0aPLffk8Z8Nms7FgwQLi4+MBYXsUGxtLnTp18rw+LS2Ndu3a8eGHHzJp0iQmT57MoUOHSEtLIzAwkPr165ORkcGOHTsoW7YsS5YsIT4+nqBbjTSdAElSI6k1JB5ZBUBmzBlUGi1uZapiSopErXPDbkxFdlhR61xJPLK60G0bo09jjL2AX70nMSdexSWgHObIQspR7gNnz1pp3NiVVaugTRuJiRPhueeE4rRxY+hSQFcIChI2K3XqiP4qy0LZ9skn4OsrceJE6abW/SAiIgKbzUZcXFyuc506dcLf358uXbrkGxjPQlEUxowZQ5cuXejWrRtWq9UpguOmlDgUWcaaHs/5X15Atlnwqd4ala7o3pFqnRuy1XTDx1yN4rDjX+9JVBodV/6cSpWnP8fFKx8J6H0kK0s9JQViYkSGxptvimOXLglF6eTJ8OefN/3Is6hVC7ZtE2mmPXvC2rU5ixCNHw+DBknMmKGlTx9P/vwzA7O5NEBeyt1jNWUgqdRIkgg8XPr9LdIv7ctxjbAc20LK6S0ENx9IWPuxhLZ7jqAmvUi7sIcrK9+HPPz+ZZuZxKOrMcaeo9qQr/EIrYU1LdZpbBuuX7eTliaj00mMGyfxwgs5z1ssMH++CI5//bVQxmUhSfDZZ6KGx/XrYuzcsUPcU66csCv76SeYMgXmzSsdV0u5exSHncCG3XMEzAAsKde5vuW73DfcKLCbcnpLrlMeZevhXaUFkRu/JPXsDuymdHxrtiNm50JUOle8KjfP/i5wBvR6ifr1Xfjoo7wD47diMIg+OWWKEH2sW1fw9cOHiw3nnTtL++WDwMXFhW3bttGpU6dcWZFZVK9enb/++gtPT8975oVvN2diTo/H3bXomcE6jViDSioVGVePENioW66aGmnnd3HupwmUaTmY8CcmEvb4OOzGVCSVGo27L4rdiqTWcWrecCr1fBu/Ok/k6uu29HiubfqGij2nCPsWlYLalnFX75tpMnH2RCIuHt53dX9eSJJE167dqFixMn/+KdGxI+zbl//1zz4L770HH3wg5snHj4uaWQXh4gKZmZksWOA8ivm7oTQ4/h/D4XBw/Phx9u4tXDr0v//+y44dO4CbatWuXbuyZcsWHnnkEadYvBcV6YbiRVJrkNQaFFnGJbBSQTeg1rneUMyIxYPeLxxJrSH+0Ar0vmFovYJK9Et/69atpKUJL2WzOb3E2k1NLZznk9ksFgv3G7MZtm3bdv8/2AnQarXMvS3F6ueff+bZZ5/lrbfeytOH2GQy8dJLL/H2228zePBgWrRoQbdu3fDx8QHA1dWV9u3bExMTw7Bhw0hISGDDhg3343UKjXJDfWq8YXeUGXUCU/xl9H5huPiEcmXVNMo+MYnM6DN4hNXCklzwpt7tmOIuovcvS0DDriDLqF2cpyCMzQaHDplo29advXuFWnznTqFKTU7OndYNEBICM2ZA374i6HbokNjoCr1Rh23ECIWkJJnU1NL073uNVqslNDSU06dP53l+/PjxHD58mP379xeqPaPRyMKFCxk/fjxWq9UpihdpXNxQqTVc++cbHOYMKvR8B71vGCqNDveydQuddaXSueFRrgHxB5bhHloTAEmjI6ztaJKOb8RmSCTh0HLKdnoJnYcvVkMRK+iVIJmZMlarQvv2EiEhQh1zi60rr7wi/FHXrBEB8LQ0cdzDQ2wqR0dD+/aiD9+OySSKj+3aJbF7t4qnnnLnzz/vPiW4lFK0ejfspnQ8y9Xn8oqpuQLjtxO37zc0bj4EN+uP3ZROxOrpeQbGb8UYc45rm2dTtuMLuARUIC3mTjaE9wdFgVOnLDRt6sK4cbBqFWy5LZ742WfQp4/I3ujU6WaA/OuvxWbVyy8Le7Jb7Qb37ROK8Ro1xCbYtGkKERG20nG1lLtCkcCjXD3cylTHGHvujtf71myDzjuYhMMrbx6UVHhVaU7F7lOwZiSQfHwjimzHmhaHxs0HAL/aT6DSujhVQc6aNXWoVIXLggRhDdivH6xYIcbaH37ILeby8hIZXFOnQkaGQp06Lpw5Y8VoLN1ovp9oNBr8/f05cuQI69evZ86cORw7dgxFUahduzbjxo2jR48eyLJ8z+NF7q6uPDug6OI6fx9PJJUG2WbGxb8sADrv4FwZyqa4C1xZMRWtRwA+1VuJoLjswJoag2tIdQIbdSe01TMYok4Q1LQPriE1McXkFGOlnhObWWoXTxS79a6eF2D+0nXYbDYsaQ5On0668w2FxNPzKFWrVsHVFbZuhYUL4dtvReAbxIZyhw4is6NHD9Gn33lHnFOUO6vCO3SQuXYttljP7OWlIjz8rm8vEUqD43dg8eLFLF68OLuIpbOjUqn4/vvvi3TPggULWLhwIT/++CPPPfdctlL1yJEj9+gp7w+K7EBRZCRJjWe5+uj9y2FJigRAUmnwqd6KgMY98LxR0A9EAC/xyCpcAipgN6aRfmk/8b6hhLV7rkRzRdq1a5etHNfr765AmaurCocDEvJwoHBzEwt5rVZ8ocmySKmRJPF3m025757FWcrxtm3b3tfPdRYcDgfnbzPF/O6773jttdcYPXo0s2bNyvfezMxM5s2bx8mTJxk+fDjXr18nJiaGbdu20bhxY9q1a8dnn33GoUOHsNvtTmWrYrcY0bl5catHouHaCVyDKpEReYyA+l2E/+L1U7iH1ipy+4oio9K6ENikN8a4C7j5F76AzP2gQgUtly4pJCdLrFolUsADAoQ/6u31WqpUgc2bRYGxN94QE5dbN7saNYKJEyVGjFAzYoQ3W7dmEhHhHAq//yparZby5cuj0Wiw31bMoW3btkybNq1I7S1dupQXX3zRafqoV0gVLGmxpF8+iEe5BvjVak/C0TUE1O9CpV7vYc1IwGFKJ+3CnhypprfjV+cJVFo9if+uI6zdGGyZKYS3H0tmzDmi/p4JQPLJTZR78mX8K9Yn5sS2+/eSt+FwwIULVkaP1qHRSPz6a87zp0/DU0+J4PiZM0JV+v330LWr8Cxu1y7vwPitnD8Pw4dLrF2rJSRETUxMaWGPUu4OvacfiuzAFH+Z1DPbCnVP7J7FBDbpgzkhAuU2lVx+JJ/YRFi751Dp3EiPdY7gOMDZsxYaNXJBo1FYv15izBjhbZqVsZGUJILif/0F//4rNqfOnRO2DWPGiL6bf9vQujUcPAgajfOocUt5uJAUsKYnUKnfdM7//DzW1Oh8r3ULrUm5p14j7fJBTPGX0PmVJbT1CHyqtkSldQFArXel8oBPSDj05w2Rlx2dTyihbUeBIoPkPJndlSpp2bABYmMLd70sQ/fucOECfPWVUKcuWiTGWkkSmZVPPy3sHD76CObOlThwANq2dWP9+ruz1ijl7smaq3bq1ImuXbvmOGez2VCr1U7tNGA3Z6L39ENSaSjz6FAclkz863Um89rJPK+3GRJJOHwzBcKzQmPKNeyKpFLjV/vx7OPVh80i8d+1JBz6Mzu2pDhspJ7djl+9J3HY7lC0phBYLFquXXPg4uJR7LYAmjdvwb59Ms2bq1i2DLp1E1lXkZEiqyMwUPwcOyYsVG61FqxTRwhD8qNePWjZUsUnnxwlMfHuan+ZzYYHHhiH0uD4HRk8eDCDBw8mPDyc6w9CaltEJEni6tWrRbonMlJ06s2bNzNixAgqVarE0aNHOXToEA0bNnTqL73bURQZkEQxsYt7cZjSUbt44FujLcHNBhC5/jNcgypTqe909D5lyLj6L5Ebv8BuTEOtc8O76qOU7fQiKAqp53ehOKyknNpM+A0/xpKifv36aLXhJCa60rbthCLfHxioZvBgL3r1gpUrc583GsXPo4/CY4+Bp6ewUBk1CpYtSyc6+v4v1Ldtm01AgIlatfzv+2c7K5cvX2bOnDl8/vnnREZGsmrVqnyvrVOnDitWrGDPnj3UrFmTlStXMv2G+VeNGjWy1eXOhs1kAF9w8S+Hw8Of0DbP4lW5OQ6LEZVGh9YjAFtmCm6hNVHrXNB6BhbSc1zgElAeF7+ySCoNVmMqbmWq3cO3KTrh4aJI7ocfiuD2hAmi4J/XbeUMvLxEmqnRCI8/nvck5MgRUStgyxb46SeJnj09uXTJyoYNmYUqwltK0ZEkCV9fX7p3786ff/6Z47inp2eRi2smJQlFhSzLTlE0V+/hS9qZzaDIlHl0MA6ricCG3bCmx5MRcQTZbkXnFUj4ExMJbTeGhMMriN42P4cfudYriJDHhpF6bicaVy98a7YDSUXyyb+J3PhFdnBOtpqQbRZhrSKpxCL/AXH8uIVBg/Q4HHkHuvfsgSZN4NVXhfL03XeFHcPatXDlSuE+Y/16uHRJoV49PTExxpJ9gVL+36BxcUet1ROzc2Gh73GYM0g+9Q+eFRoW+h7ZZiLlzDb86nZE7+6D0fLgf2fd3CS6dPHEZoPZsyWeflpYoXz4oQh6nzwpAmr16glBiLe3UItrNLB/f8GB8SwSE+GVVySWL9cQEKAmMbF0I+v/E8Ut+BcQEMCQwYOQZTs6zwCqD59D7O5fSD6xEYf5ZrtaD3/8G3SlTMvBIKnwrtSURm9uQVEUYW/071oMkcfR+4bjElQRj7J1qdxvOrLDRmbMWaoPm4VK54Zst7N7324OHTpUrPfevn07yck6/P3rF6sdFxcVly8XTTx2+bIQbk2ZcrPoX0iIOBYVJbJBvv9e2DkATJ0qMWeOFg8PqbTg9QPkVoGIRqN5ONwFJAkUBUmtQbaaiD/wB8HNBxK9bR52Y1pBNxLWbgzBLQZhTo4i4dCfpF3Yi2wzoXHzwbfW48KLvEEXrq79JNtmxW4SVioWQ2qJPL6Li8ddxYnyonp1H159VUKlAh8f4T/erZtYm7q7iyzJf/6B3btz3ufpKTasZszIu121Gj79FAwGGVfXx2nb9vG8L7wD27bNBgrwBL5PlAbHnYTiDs4gvKHGjx+PXq8v0n1Z12ep471uRG1Wr15NtWrV+OGHH4r1XHeipLyFFIcdh9VE9LZ5JJ/8J0eRk8zrZyjbcRIOSyYB9Z/CknKd07+/iTkh5yo36fgGtF5BlHvyZXyqt8KrcnPSrxws9rOVNFWqaElKUlizpuAJye7dN7/kJAk6dlSoWlVHdPSD//L5/4ZaraZ27dqcOnUqx/Hnn3+ewMBAli9fzo8//sjs2bP5999/s8+XK1eOMWPGMGnSJC5dusQPP/zAggULcgTSz549y5AhQ4iKimLy5Mn365UKhcbFHcVhJ+SxZ3ALrYk1PY7IdZ+SfHoLit1CaJtRBDTqjlfFJjhsZgIadiNmx4JCte0SWBGP8DrIDjvxh/8k+JF+TuOVClC1qha9XsoOvh05InzcLl+GadOgbl04ccO14tlnRbGUmjUL3p0H+OUXqFZN4o03IDhYS5cuHqxZY8ilRC+lZLDb7bz88susWLECRVFQq9UEBARgNBrx9PQsUltZ46uzKMdVag0Oqwmvys3wLN8IU/wlorcvIP3ygRzBa61HAAGNulOmxdO4+Jfj8p/vguzAJagylftOQ7ZbiT+8giqDZqAoDk7PG4415dptnyYJ2zNJwsU7EHNqbh/3+0VcnINr12yEh2txcRGWX7dz5YrYzJo8WWxKffWV8DcuLIoCCxZIvPOODnjwgcZSHk5Uai2SpCLz+qk7X3wLmddP4V+vE6J4X+ECSraMBFDAxcsfY/IdBqJ7jFoN3bp5oCgqmjWTOHNG1AZYvFjYqLz9tgiCg7BliI0VqlS1WvwUkIyXi9WrISZGbGRt2VLaV0uKvApP337sQWc7FrfgnxYbKrUWvXcwV1a8j0+1Rwlr/xxhbUeREXkM2WpE7eqFZ9n6yA4bySc34VWxCSq9OxoXD+L2LCbuwO/413mC0LajcfEvi6LIKDfmspKkwr9OJ8zJ11Dp3VHrXIi4cKZYxf4AMjPSsdt9itUGiD5X1BipWi2ymaOjxUbXnZYtixeLgHndunr27i2+IreUwqEoCoqiYDabWbx4MefPn0etVtO0aVN69uwJ4PQCSpVKjd2UhsbVm6TjG0k4vILgFoOo1PdDLv72qqiTkwehbUcT1HwAUZu+IeHgHznO2Y1pxOxYQOzunyn35MtU6P4Wit1K6rkdqPXCLtGaWVDg/f4jSaJOXXo6zJkjMqzq1BH2RneqFTBhgvATnzcv9zm9XijMn3hCYcMG439iHeocq7NSMBgMREZG3rGoV0FIkkRaWhqtW7dmxZ1+02+hdevWpKamZu8IZgXpMzMz0Wg0HM8yI7oH+Pj4UK5cuWK3o8gO7OYMzi+aiCUlt8I/4dByNO4+lGk+CFPCFc4vfjHfL0RbejyXfv8flXq/R8Ve73J2wYMrCpAfrq4qrl3LWQjsTigKXL0KgYHO41X3/wmbzcbYsWOZNGlSjuMOh4MBAwbwyiuv8PzzzzNq1CjOnj1LfHw8fn5+1KxZE4PBwIIFC5gyZQrr169nx44dnDyZOyXszTffpE2bNjRt2tRpgm96Ny+QVHiUq0/65QNc/nMqiv1mcR2H1Yha707c/qVIah0BDbsSf2BZDsVNfgQ3H4jssKNSa0j8dy0e4XVwDa76wFWpWTRr5orVquDtnbPPffKJWOSPGydUbpIk/v7774VXpX79tVhQHDgg0bq1hvr19Rw9Wlq06F6g0Who2bIlc+fOJSkpiWeffZbAwEDsdju9e/fmyy+/LHRbPXv2fODBgFuR7TZ0nkEE9XgHQ9RxLi17EzmPdFCbIZGYHQvIvH6Kyn2nU2v0QrSeAah1In1Stlmo9vQXAFz7e1YegXHwrNBIFOpUZFy9Ah5ocBxg2zYjQ4Z407Ur/PFH/tdlZAglOYj006IQGSkKlqnVRRuvSynldpQ7+IbnQnaIwn2SKkemR0FIGh2gZNfueZBUr64jOFhN06YiMA6ijkf//sLeaMwYGDZMKE41GvD3F4v8tDSxmVVAIl4u7HZYs0aia1fnDvQ8LNjtdlQqFRs2bGDOnDkcPnwYh8NBjRo1GDNmDAMHDiQ5OZl3332XGjVqMHr06Hta0O+Oz1uMgn/W9AQU2U7q+d2knt1G6tltaDZ/i3/9zriH1ETt4oXDbODa5tkknRDWZP71OlOuy+vE7v2VuAPLqNzvI9xCqpF6djtX139KZtRJQEHj7od//c4ENu6Fi28olrQ4ZI8ALhzbi7oYA0qmyZSrKOHdkp7uoFUrFWITrnC0bCn+vFjI+L7BAFu2SNSt++C/l/5r3L5ZpSgKsiwjSRKyLDN58mTmzZtHRkbO4pIhISG89dZbTJw48X4/cpFQFBlrRhI6D3/Szu9C4+6LSqPDNagy1YbOInrrPNIvH+TWDWT3svUp0/Jprm3+NldgPEfbDhtX132KSudC+S6vk37lMN7VHkWl1paYcrykUBRhqevvL/HNN/D888I68PHHhQ1gfgwYANOnCwvfNm1g06abdbCGDYPRoyEgQCEmxs6FC7b790L3kNJvGSciNTWViIiIIiu/b2XDhg2MGDGC//3vfxiNd1Y/6HQ6Ro0axcKFC+nWrRvx8fFcvnwZgKCgIIxGIzFZeU0ljMVioUKFCiUSHJdUaq6sfC/PwHgWpriLSGoNV9d8lG9gPBvFwdV1H1N30h+Etnm22M9X0siygk5X9Pu02tIF+oNCq9UyYsQIPvnkE65dyxk4UhSFGTNm8OWXX9KtWzcef/xxunbtSmBgIBMmTOCXX34hMzOTjz/+mFatWvHyyy/n+zlfffUVS5cuvdevU2hUWh1IYEmJyRUYB9C4+90InjdAUmtR692p1PdDLi2bjGzN/zssuMXT+NftRMbVo7iH1qTG8O9IOLQC99CaeIVWIf16AaP9fSA8XKRo798vivp98snNc3a7CISPHAk//iiC41WrCvV4YUlMFG306SMCAu3blwbH7yWSJDFq1CgyMjKYP38+W7dupWnTpkyZMiXPjJC80Gq1jBs3zmkC4wDm9ER8arRBcdi4/MeUPAPjt5J+aT8xOxcS0nokSSf/IjPqhCh67V+WgAZd0Lj5ENC4Jw6bmZTTW1AcNxfggY17YE6KxMW/XLa65kGSmCgTFWVj4kQNf/xR8MLecqNrFXV6lnX9f0FNU8oD4sZGr943LFe2Y0HofENxWDILHRgH8Kr0CEgqZCfw6apTR89ff4mMq9u5dg1+/ln4pV68KCwD9+4V50aPhuHDRUCtKKSng05XKh4pLna7nZSUFDp16sTRo0dznNu7dy979+7lnXfeYd26dbz33nu0aNGCKVOm8M477zzQzMe7Lfjn5huCpNLk8Cm2ZyYTt2dxvvckn95C+BMTQVJRud9H6H1DOf/TxFzFPLPaid//OxV6/A+faq1w2C0M7/tkkZ/zVuYvXVes+2/l9GkLPXvqaN5cFLotDBMmCL//XbsK/zkZGTczRUopPjabCGQuXbqU+fPnExERgU6no3Xr1jz//PPUrVuXnTt38s0332Cx5F5bxMTEMGnSJGJiYrItPp0RmykD71Bht+mwZOJdpQUOSybnf3mR8l1eo8rAT7GkXCf9yiFkqxmthx8+NdthzUgk/sDvhfgEheubv8NnfGvC2o9B5xmIoihYM1Pv6XvdDRkZMk8/reLzzyW6dBE1rvbuFWKr77/PmbXcpInop8OHi01pSSJXfR6TSdzfvr30n8roKP2acTL0ej0tWrS46/tjY2Px9PRk8uTJvJNVYrYAXnnlFQIDA/npp5/Ytm0bs2fPxmazoVKpGDp0KA6Ho1jPUxB7s2ayxURRZMyJVzFc/bfA6wIb9cAQdRxTwuVCteswG0g+tRm/2o+jyDKSE/jDZpGaKtOypSjsV9hasZ6eIoXm2LHSVfqDQqfT8ddff9GhQ4c8N50cDgcrV67kkUceoUKFCgwZMoTFixdTu3Zt/ve//zFo0CAuXbrE9OnTOXjwILvymFmuWLECg8GAh0fJFPAoLrLDgVqlIX7/0hyBcdegKpTv+gZuZapiN2XgMGegOOyoXTzxCK9NjZHziN3zCymnt+a4z71sXYKa9sW3Rhtidi4kZudCVHp3Knb/H0HN+iE7rHiHPPjgePXqOi5cUPjwQ1GIs1GjnIv8ceNE0HzTJpEuCmSr4wpLVgGjxEQJf3815ctruHr1wQc1/qt8+OGHTJ8+HZNJbK5u3LiRESNG8O233/LEE0/kuYC4/X4/P7/78aiFxpB0Ha+QysQfWYXDUrhoUsLR1ZR5bBiWxEiSjq3PPh6z40d8a3egXOeXKd/lNcKfmEjikdXE7vkZ99BaeFd7jLj9v1PGvxyOO21Q3yeOH7fQpYuWAQOgoD3Fq1eF9Urr1nDgQOHbb9NGITFRRim1SS3lLtB7+KHS6JBtFgIadCHtfCGjSSo1AfW7FKmfuYXUwC24CgDm9MLX/bgX+PqqCA3VMHZs3udVKmGFkpAg6uqkpNw8l5Ehzvv65jx+J/z8wGot7ajFxWaz0a5duwI3jKOioujQoQMHDhzgyy+/pE+fPrz55ptYLBbefffd+/i0xccjuAKy3ZLnGlTr4Y9Hufqo9R7INjPGuAuYE66g2C2kXzmET5UW6H1DOffThFyB8VtRHFaurHyfqk9/gXtozXv4NkUnIsJOcrKDDz5Q8eSTUrYAS1h5QtOmws84PR22bgWrFXr3hpkzi/Y5QUEKNltp/ywJ7HY7J06coGvXrrnWoufPn+eHH36gb9++LFq0iF9++YX+/fuj5DOJ+fDDD+ncuTPNmzd3KuFHFumxV/AOrwGAxtULjas3tsxkTHEXOLtgDO5htQho2B330FqotHocFiOgkHDoz0JnIFvT40i7uBe/Op1QZAcKIiva2YiLs9OokZ6mTUUR6kcfFarwV18VNmXHjkFmpqhRV736zXlvVJQInD/2GNSuDa6uQnnu5gatWyscO2bl2rX/ztrTeaJ9pZQIqampbN26lSlTpvDaa68VeO3EiRP58MMPmTZtGhMmTMDV1ZW5c+cC0LVrV0JDQ/P9MnQuJBKPrr7jNR7l6mNOjCSkzbOEPT6eMo89g3t43QLvSjm9BZXWxakC4wBnz1qRJKE8LSxDh4ovtNOnS9WlD4KsvhQaGsrhw4d58803CQoKyj6vVqvp0aMHW7du5c0332THjh088sgj2RYq7dq1Y8iQIdSuXZu9e/eycuVKfHx8cn2OzWYjIeHBLmxvRbZZUOxWkk/+k33Mo3xjqg+fg6TRcmXlB5z4ujcXf32VS8smc+qbfkSs+RiV1oXyXd6g3gt/UuXpL6g84FNqPbeI6kNn4RpYiYhV07MLlMmWTC4tn4Ih8hgoEmrt3WfflBRubiIVfN06YZXy7bdiIpGF2QzHjwtl6bRp4lhRM4olSShaO3eG1FSFwMDSlPCSxm63Y7VauXLlCj4+PlSpUiX7nM1mo1+/fjRp0oT169cTHBycZxuurq588cUXvPrqqw8sbTw/vIIrIKnUJB1ff+eLb+AwpZN6bic+NdrkOK7IdpJPbOTir6+CoqBx8SCoWT9qj1tCpb7TUBQZrwqNADA9YEuVLC5csHHunJVfflEYMUIckyQRWAsOJjtDy9tbLBomTSp8Pw0IgIEDxYKklFLuBq2bqFGg0urxqtwMvX/hMi19a7RB6+GHzjMA7yp3FrhIKg1h7ceK2j12G6aU2GI9d3Hx9BRz7mPH8j7/1FNQowY880zuAPiuXSJDsn//wn+eiwv06iVSw0u5e+x2O3Pnzi1UJlV8fDwff/wxPXr0ICwsDID33nuPyMjIh2TtKdDoXJBtOddV7mG1qdhrKnUmLqNiz3co2+kFKnR/i1qjf6Ta0K/xrdUe2WpC6xVAyrkdBQbGs5EdRG//QVhC+OQ913hQbNtmpF07WLRIwcUFXnoJLlyAjRvFmNmvH7z2mlCZ7tollKjjxt20V7kTwcHQvj3/qQDcg8Jut3Pp0iXat29foDPAH3/8wYABA+jbty9DhgwpsM2ZM2c6ZWAcwG42INss2M0GfGu2Q3ZYkdQ3bWQyr5/m6tqPObtgNKfnDiNyw+eo1FrSrxSt4G36lUOoNDpMCVdQ7M5pL3Llig2bTfiNe3tDaqpQh4eGimD3oUMiIP7339C9uxCCyDIEBUFgoOjTK1cKBfmVK1CrFpw5Y2XbNufbCCgOzhXxK6VE2LlzJzt27ODTTz/l2LFjPPvss9lFwDw9PXnmmWfYv38/s2bNYtasWYSEhDBq1ChGjRpFZGQk5cqVY86cOURERDh9oQUQ6e7W1Pwn8pJaS0ir4aAoBDTsin/dTnhXbkZgk15UHzaLmqPm41c37xQ1uyn9Hj118TCbFc6ft/Liiwr5xGNy4OsLr72mcPmyjczMh2fS+V9ClmUOHDiAoihs3LiRKVOmEBUVxdmzZzl69Cjx8fGsXLmSsLAwjh07RkBAAO3btycjI4P+/ftTrlw5Fi9ejMViYfDgwXh5eTFs2LA8P6s41kwljc1swJoWm10gV+8XTpUBH2KIOsG5H8eScnoziiPnRCLl1CZOzupL/P5lqPXuqLQuyDYTGVf/5cKSVzg9dxjJpzbl/CDZwbV/ZqPSiOJlDxpFESmgDoewPqlVS0w4ypYV50NChAr1f/+DpCRxrEGDon1Gw4YQEyMqjhuNothKKcVHlmVkWcZsNrNixQq+//57tm/fTq9evTh+/Djbt2/PDpLv27ePjh07Ur9+fSIjI1myZAldu3aladOmtGvXjhkzZhATE8OLL774YF8qH/SeQsluSS2afZo1NQaNm0+e5wxRx4nb9xsOq4m0i/vQuHkjqdSoVBpcgysj262Y0wqZ8nQfSEwUC+4FC0QmVloaJCeLAn9Go1DNXL4s7JDKlRNex4Vh6lQRSK9WTYe394P/Tirl4SNLmJF2+RCKw0GV/h+h9fAv8B63kOqUe+o10iOOkHJ2OxV7vYt31fyjUCqtCxV7v4dH2bpkRP57Y/PnwY4lWRtQ+cVIx48XC/dDecQvrl0TqvLx4wv/ef37g6+vxPHjpeKR4qDRaPj2228Lff0vv/yC0Whk1KhRgBCRzJo1C/lh8qFSqVHp3LIDboFN+1Bt2CxcAyty7Z9vOPZld45+/DhHP+3I5T/fRXHYqdjzHbwqN0OtcyPxSOHN8TOjTmBKjMCzTKV79TZ3RWSknY0bMxkwABISFD75BHbvhubNRWC7ShVRE+DJJ2HLFiHUSk0V/TQ09M7tjx4t1vrXrztn0PFhQqPR8Prrr5OWdueCkWvWrGHjxo1MmDChwOtWrlxZKCvfB4XdnIktPR7f2u2xpsej9y6D3jcsz2tVWheAXBagd0KxWZBUKuL2L0Wtc0Hr6lns5y5pLl2yoSgKlSrBzp1Qv744npEhBFxjxwof8U8+gREjRIbH99+LQHqVKiJInkWZMgrx8TY2bzb+5zIjS2fr/1G2bNnCokWL8Pb25vvvvyctLQ2Hw0F6ejoLFy5EkiTWr1/PiBEjGDJkCEOGDOGXX37hySefZPfu3VgsFrZu3YrVWjIFO+41+RUPUulcqTLwM4JbDCLx+HrO/DCKk9/05/S8ZzjxVS8uLHkFS0oMFbpNpuyTL3H7gkCtd78PT3937N1rwt1dYdMmhZCQ/K8LCIC//lIIDFTYtcs5Utn/P6IoCp9++ine3t4kJSURFhbGW2+9RfXq1SlbtiwGg4FGjRpRrVo1GjRoQO3atalbty5dunTh999/z/aHA2GftHz5csbnsfqrVKkSoYWZbd4n7GYjt46bYR0m4DAbuLz87Tv6G1/f8i3Jp/5B5xnAlRXvE7XxCzIiDgN5j8TmhCsYok6g8OAXVhkZMg0bigD50aNC9VKlitht//NPkckBQk1jMglValEW82Fh0K0b/HNDkO/jAxbLf2yG8gCw2+2YzWZeffVVQkJC6N+/PxMnTmTEiBGUL1+evn37EhwczN69e6lTpw4Au3btokqVKrz++us0btyYNWvWcODAAbZs2cILL7yAt7e30ynGs1BpxIJeUhVN9SOpNbk2tW4l8egaVBodGZcPcGnZm4CEosjINis2cyb59eEHQa1aLpw8KRQyarVYDPTpI5QzL78sguVqtVDULFgA33xzs//mx/TpQpHz0ksSBoNEmzZFL/RWSimOG4rU6C3fgSKj9Qig+oi5+NfrjKTJuQmucfMhuMXTVBv6NZJag1eFRmg9AzEnX6Nyvw+zFasaN29UOldc/MsR2m4MdSYuw7tKc+IPLid62/eo1Frc/AqYVN4HDAYxhteunff5Dh1gyZL87585E+rVgylT7vxZFSvCjBkKFy9aSUt78HOHh5mYmBjOF1Td7TYMBgP79u2jVq1a2cdWrFjxUAizslCpNajUGnyqt8K//lOUfWIS8fuXcXrecBIOrcBxQ2Sl2K2knt3OhSUvc2XFe2hchWjNEHWiSJ9niDyG1sX51qbR0WKTWa2W6NxZZHXs33/zvKLAX39B164i67lMGfDwuPO8t1kzeOstUUywUqW7KLZVSjaKohAdHc26dYX3nJ8zZw7NmjWjYcOG+V5jt9tJTk4uiUe8J1hN6eh8RG0A76otsRvTCGjYPY8rJULaiJT8O21C347Wwx/ZYSP1zDZkuw3P4ArFf/ASxuEAh0NBUcDLC/79VxSbnzBBZHeMHCnWp1evijXr009Dp06wbZvIomzcWLRTtqwQd50583DECIuKc+ZAlFIiXL58mcuXL1O1alUGDx5MWloavr6+ADRt2pTMzEx27tzJli1bqFKlCufPn6dKlSrs3r2b/v37s2/fPuLinCP1uSAU2YF7eF1Sz+3MeUJSUbHXe7iVqcqFJS+Tee3k7XeSEXGYjIjDNyqHv4bDlE709vnZV3hXexRFtt9ozrm6i8GgsHJlBt27e3L2LMyfL/HddzerDlesCM89B6NHK2i1CqtWGUon/g+QQ4cO0bhxY6xWK6+++iqyLPPZZ58xY8YM/P39efvtt3MVLyqIxYsXM3DgQFq0aJHDv3/s2LHY7XanSXGzW414BIaj0roiqdV4V2xK9M4f71wU9wZx+5biV7sD3lVbFMpvNe3CHtxCqhf3sYvN6dNWGjZ0oVs3UTDz4EERHB8yRCwGevUSSlS7XaR0Z2SIYHfdunCiEGulN94QQfXTp8W/3dwkIiNLU06Lg8PhwGw206ZNG47kUQXObrezfPlytmzZwubNm9mwYQN16tQhLS2N1NRUZs6cyddff82CBQsYPHgwWq3WafphfmRlWXiE1yH9cuHNtN3DahdYANuaHofh2kk8yzfkysr3iVgznUq9pmJOjkLjXrRFx71ErRb+xr6+IpD2+eeiX93K119Du3aweLGo3bFkCSxaJFQ2s2YJ9ZvRKDyLBw0S/btWLeHj+M03Qhn36qtatFqRTl5KKYXFlBqH7LBRpuXTqLR6Us5sx6faY5Tr8jrhT0wi/cpBZIsRjbsPnhWbiJskFRKgyDLuIdXJEn24h9XGo2y9HO07zAaQVIBE2sW9GGPOYUqMwD0gHGNyNHdLfEIilyKOA1vYtm3OXbXxxhsq8tLnSJKY3xYUi9m+XSz+vbyE6i09PW8Vul4vLM7q1weTSSmWnYfFkoler6VHj6IXdfyvYDbnL3gICwujZs2auLq6kpKSwsGDB7FYLJhMJlxdb24eFkbR6mw4rCYCm/bDNbACiUfXcn3LdznOq3SuItNKUbBlppByZitelZvjV6dDoX2Ns1AcNqez+gRo2dIVtVpiyBBR6K8gfvxRBMenTRN2Dl99lbt+lkYDAwbAvHnCzsHhAHd353vvhwm73c769etxOApfpHnDhg0AvPzyywwtQBVwax92NnSe/sIiV5LwrvQI1rQ4Ahp2JfHYOixJkdnXhbQegWe5+tgyk/Gr05GMiDyqQeeDf73OSCo17mG1cFgz0bn73otXKTZ2u5iHBgSIfz/yiMjwyNLvXLki+uS6dcI+JShIrFsPHRLzXxCxJatVWPz+F3HuVVspJcKFCxe4ePEiiYmJ9OnTh8DAQNq1a8eAAQNo1aoVHTt2JDU1lfXr1zNs2DD27t1Lt27dKFu2LOvXF96H9EEhqdQENOhC9Pb5OdJgApv2xbvyI1z87fU8AuM5STq+Aa1nACGthpNwZDW2jAQkjR7/uk+SdGwjKr0bfrXa3+tXKTLJyTLLlqXTqJELY8boeOklFRaL2BV0cZEwGhXOnrVw5IgZg8F5lHr/H0lNTWXgwIEsWrSIU6dO8eWXX/LMM89gNptxcXEhPj6+SO1l+Yrv2bOHDRs2MGfOHM6dO8fYsWOdKiBniL+KX4W6+NZ+HJVGByp1jiJ+d8IUd4HM6LP41X68UMFx2WZGUj141VFCgoNr1+y8+aaadeskrFYwGOC778TPuHEw50bMIDZWpJuuXg3r1wtV3LkCLChfeUX4OL74IvTtC0lJCkajg8TEwk94S8mNWq3mueeeyzMwfispKSl0796dy5cv88wzz/D1119nn1MUhaioKBRFcapNqryRUGl0KA47AY17FDo47hpUBY+ydbm8vGBZpt2YiupG9lXqmW2YWl1F5+GP7ERJi1WqCOX8xIkwe3b+123dKpQye/eKzaw334QPPhCLBxCqc5VKLDxWrBDWK7t3i3M//wxvvinRoIGegwdLbRvuJbf3OefvgwWjOOwYEq/hXfVRDNdP4121BZb0OHQe/hgi/0Wtd0fr4Y/Dkkn0th9IOr4BxWGn+jOz0fuGE7N7EZlRJ7Cb0zHHX0HvF45LQHlUGh2S1pWQlkNQ692Q9G7Zm12W5Oto/SsU67kjr0VjNosCv2bz3dkT5hcjVRS4nv++XDYZGeKnICwWYU1WUpjNsG3btpJr8CEjICAAjUaD3X5zo75jx45MmDCBLl265FCEJyQkMH/+fCpWrJhDGJIl4npYkJCwJEfhEVYTxWEneseC7DOeFRoR2LgH3lUfzZ6XynYrKWe2YU66iqRSo/UMxJZR+DpBOp8QFCeznfHwkKhSRceZM0J5WhhmzhQiD29vYYX000/CKsluF0KSESNEhmR6uigcuGPHvX2H/w8oikJmZmaR7smquzNkyBB27tzJvHnzcl1Tv359/P2dR/RwK5JKg87FExSFzOgzRO/4kYo930HS6Kn69Odc/PU1zIkRaNz9CG4xiNhdi5C0eoKa9OH6lu+wG1Pv+BmeFRqj9wvDYTUT2KQ3KrUOJOezmdHrJbRaCU9PkdUxe7aofaVSQaNGMHy4KLr55pvw4YdiPOvU6ebGVUaGUJS//rrCsWOW/6zY4+GdMd4nFi9ezOLFi0m8fUvzIePgwYMMGjSITp068eOPP3Ls2DG++uqrPK/19fVlxowZREZGFliswZlQ6dwIbtaf2N0/A+BRviFh7cZgjD1f6AV//MHlBDcfRECDLsTsXEj44+NQ61yJ3fML1rRY7IZkApv2cbr0eKNR2KXs3WuiQgVtdiEjg0EmIsKGvVRM6hQEBQURHBzMuXPn+Prrr9m0aRPjxo3jueeeA8DDw6NI7WVd/9prr9GvXz/WrFmDwWDAxcWlxJ+9ONgtRjKTrhPcbAAZkf8iW00ENOyOW3BVVDoXHGYD6VcOknJqc742K+akSHTehStApHH3RS7A7uF+snu3kd69PVm6VGHgQAnLLXGxTp2El3HZstCxo1jsd+0qfMn374e5c0UQ/coVcb1KJQLozz8v7p0+XViqiK9xiT17CraoKeXOJCQksGzZskJde+3atWxro1uD4wA+Pj5cvXqVK1eu0KFDB1ROqPICsv357XYT3lVa4B5Wm8zrdyqkJhHaZiTWjARSz+8p8Eq1zg2H9eYCIeHQn5Tt9CIWg/Ok39aqpWfvXoXZs+88rl+8CG+/LRYUmzYJZRuIwLjDIfqoLAtVzq0CyqxpVMWK2tLg+D1CURTS0tL4/vvv+eeffzAajYSFhTF8+HA6duyIw+FAq9XeuSEnJP36eTyDymPPTEZSqdF5BnLx11cwRB3P956zC56j6pCvCGvzLKbEqyQc+hNJUmdnQvrVeQKvys1AljGnXCcz5iy2dLFBr9Loih18KxceyqWIaECF/i7tCSUJ3NxUyDIkJIg+lkVQkPh3Vr2OglCpwN1dqN5unb4LBZ2Cw1EywpEs5Xjbtm1LpL2HEU9PT7p165ZtjfLtt98yevRo/v33X8aOHZvdN0NDQxk6dCjjx4/H3d2d6tWrU7NmTebOnUt4eDgOh+OhsVaRZQeyw4bssJN6bgf2zGTUeg8q9n4Pr4qNMcVf5to/32BOFApV1+AqBDTsjn/djsgOO/4NuhK788dCfZbG3Q/vys0xZzjPGFq5spZOndzRaESmVGExGkVAfNw4iIwUXsdZ9TxSUkQxz969hbpcUaBqVTh+3Lk2BR42VCpVvoXj88PHxwedTsemTZuYNWsWq1evJjY2Z523cePGYbPZnHKMdfUJQqVWIzvsGOMukHHlICe/6U9g456UeWwYNUfNJ+XsdmSrERQFj3IN8CzfAEV2ULH3e1z87TUUe/4Kaa1XEOW7TsZuNiCptfhUewxJpcaeVIgd3PuIRgM9enhgNkPnzsIq5VaOHoX588VG1MqVwuqzbVuRtfHKK2IjuXZtmDZNISrKzp49/12b3tLg+B0YPHgwgwcPJjw8nOuFkSo4KefOnePgwYN8//33uLq68t133+VZ8KRChQqsWrWK0NBQFixYkEdLzokkSYS2eRaH2UDq+V1U7jMNSaUm4dCKQrchW40kn9qEf/2n0Lj7EtioB1fXfYY1TQwC1/6ZjUf5hrgGVnAKZertOByi2EIpzkmjRo1ITU3NnvCfOXOG559/niVLlrBjxw66dOnCokWLUKlUtGnThrJly6JSqYiOjmbLli05lDgAXbp0ISEhgZkzZzJjxgyefvppFi5c6JQLCkN8JME1mqO9kdoW3GwAhqjjOMwGNO6+lOv8CmHtx5F4ZJVQ3cg5FdCSSlXI1FMJ/7odsRicIy03JsbB339n0q2bO8ePC3uGn38WSpjOnYVaZtMmOHMm63qxaz9liihA9OqrcOmSsHkoU0YEBNLSxLEZM2DXLhGIO37cXNr3i4nNZmPBggW5+llBzJ8/n02bNlG7dm1OnRJBZbVaTc+ePdmwYQMTJkxgxYoVdO7c2Sn7pSI7UBQFQ+Qx1Ho3Kvf7kIvL3sQYfTrvG1Rqyj35Ml6VmwnVuJJ/poLaxQOPsvWI2b0o+1jm9dNIkuQ0C3tfXxXly2uZPLnw9yxeDJ9+Cq+/LtQ0/fuLRYaiiMLXw4YJW5W9e2HUKGG/kpVtrNM55ybJf4Hp06czffr0XLYOS5cupUqVKqxYsYIaNWo8lCpyz5AqSJIKF/+KKLKD+AO/5wqMuwZVJqBRd9zDaqPSuaLYbZjiL2LSuaL3DaNspxdyFKq2ZiSQdOJvAuo9iWtAeaK3zgVAUutwC61BRsK1Yj1zUGAAnj61CA5uTNu2BRdzK4jBg71QqdTIMnz5pVi8x8dDjx6igFilSiKwVhCyLFLAT55UUBSZdesMJCfLJV5EbNu22QQEmKhVyzkVlPcDu93Oiy++yIoVK/juu+945plnGDFiBAsXLsxxXXx8PP/++y/vvvsuS5YsyR4j582bh8PhcNoN5bwwJkfjW642oGCIOo6k0VNl4Kfo/cpy8bfXcwm0MiIOE79/Gb612lG+62SCmw8gbt9vKLY7B5sCG/cASsbmsySsjzQaCRcXIfzQ60XfLApvvinG07Q0oSBPThbzXbUaAgPhpZdEm25uUKOGEIPJcqn10d2i0Wjo0aMHXl5epKcXLqNn8ODB2Gw2Jk2axJEjRxg1ahTTpk3LPt+kSROGDx/ulIFxALU2qzbHzd8b2WYibt+vmJOvUanP+3iWa4DGzQdJpUJSqbmyaho2QxKV+31I1ae/5No/32CMPpOzYUmFd5UWlOv8Cooio9a5ItssoFajOBxkxEfct3csDM2bu+Ljo+axxyQKcnDdvVvYCO7eLTIqX3xReJKDKLR7+rSVrVuNOFnySony8M0SS7lrsnymZs+ezeuvv86cOXPYvn07FouFsmXLMnLkSLp160ZaWhqLFi1y6uIK+VG20wsEtxwMkoQkSRhjLxTpfmPseQIadiegfheurvv0NvsHhYSDf1Cuy+sl+9Cl/L/AbrdjMplo0qRJjuP79u3j2LFj9O7dm+nTpzN48GDKly+f45qYmBjmzZvH7NmzSUhIwM3NjREjRvDdd99lF+pccqM61eLFi+/PCxUB77BqKIqCbDNzfctckk9uErv0N9B5lyGgYXeCmvXHNbgql//4X45if27BVcm8fWKSB16VmqLzLkPi8a335D3uhoQEB2q1xPXrQuU9Y4awUdHpxML+3XdzXp+WJoLiU6aIwFutWiK4lpICa9dCgwbCg3H/flFx/NgxMzt3lqrGi4tGo+FKlky/kERERAAilTyLrl27UrZsWebMmYPdbmfIkCHExMQ4pR+jIjvEppNs5/Ifb1O530dUGzqT1LM7SDi8ksxrwvxe7eKBX90nCWzcE713Ga6u/Zi0CwWrxv3rPgkqVY4xNEu1akp2joy0sDANsqzw55+FzwYzGGDDBlGwc+xYYbeSRUqKSBX/5hsRuPvxR7ERluXTWFIK1VJyMmXKlByL9du5ePEijz32GPv376dSpUpOu4jPC5VGi2dgORRFRuPug6TWkHhkdfZ5r0qPENpuDK6BFZFUamyZKRhjzqI4HLgFV8MloJzo57IMahV2cwYOswG13p2Aek+iOOyYU6NJuygq5/nWbIPGxZOM2MsP6pVzkJbmwGBQce6cxAcfwNSpQuFmNgtByOzZIlB+p4X6+++Dt7dEQoKKHj08Wbkyg+Tk//Dq/gGh0Who3bo1Cxcu5JlnnmH48OH89NNP+V5vMBjo06cPmzZtomXLlqhUKoxG40O1iZV67Ry+ZWsiqdQodhthbUfjEliR87+8gCk2v+KkCimnt2A3plFl4KfUGD6Hs/NHZ4+ReeFd9VHKtByKw2osEc/xkrA+Ki5Go/gBMbZm4XCIeXIWmZnipyT4/259pNfrGT58eK6Mx7yQJInx48ezYsUKzp07x+LFixkzZgzTp09HURQeffRR1q5d65TijyyyilorDjsuARWzj6u0LgQ26SViRXEX8arUlMiNX+QYXy8sfpEKPd6hxvBvMcacI+3SPmSrCY2bDz4126L3LoMiO0g5uwPfGq25tPxtKvd+H0nrgiW9EGlN9wm1GmrW1PHttwUHxrM4eVLU05k0SfSXihUhIsLO5ctWDAYFHx8VSUn/3fHz4Rl9Sik2iqKwceNGTpw4QZMmTfjggw/Q6W5Wfo6OjmbDhg0cP34ca15VcB4StG4+pJzdgV/t9kUudIIsI0kSJ78bijUt9wI++fQWynV+BdSlXaeUoqHRaAgKCqJ3796UKVMmR1rauHHj2LNnDy+//DJLlizhu+++49ixYyiKQs2aNXnuued4+eWXGTlyJJ07d+a5557Dw8ODuXPn5viMJUuW8Morr1C/fn2nmaxIKjV6D19sGfGc//mFPL0VrWmxRG+bR0bEYSr3/4hyT77M1XWfAOBRvgEuAeWJ/LvgiZzWM5DyXd9AttswpTpfIeGpU0V6Wt++EBIiFDMg1ON5YTKJlNPbCQwUf1aqBKdOlQbGSwpZlnOMh4Uh6/qs8TIoKIgvvviCnTt3cuzYMYDszeaRI0c6ZVBOVmT0fmVxmA1cWPIKgY26E9R8AH61H0dx2JHtVtR6NxTZjoJE5F9fkXxyU4Ft6nxCCG45mNQz27BnpmQf1/uGib+UoCrQbDawbVsBZuEF4OXVDKPxcazWolmlpaSIFNMsv/HbcThEwaKAABEkv3oVEhMVIiOvsG3b0rt6VuBGIMM5vtedAVmWiYiIYPr06Xe8Ni0tjQkTJvDPP//chycrOTyDKoIk4bAYUWn1ZEafwZouxrfAxr0I7zgJZBlT/GVi9/xC6vldNzOvJBWV+k7Hp2oLUs/vIuHQihsFxsQmjXvZugQ27oVvjbZU6j2Vq+s/o8yjQ3FYzdhMdzDrvk+cOmWlRw8d48aJbKuDByEiQmwY//23sBpbulT4E98aXMtCqxWB8ddfFwq4X3+V2LwZunf35Lff0jGbSzes7gVDhgzh33//LTAwnoXNZuOll17iyJEjvP/++wQEBPDMM8/g6ur6UCjIFYcNh92OWiPGOP/6nYk/+EcBgfGbZEQcJunE3/jVeYKqg78kescCDFdzRq+0HgEENu5BcIunke0WFLu1RLIeimt9pNVK6PUSsbEicyok5Kbyu7B4eoqiudevi+xItVpsdBmNYmMZwN9fiElMpuKpxqHU+iiLjz76iF27dt2xvs6MGTOoUaMGo0aNAuDvv/9m9OjRDB48mGeeeYYOHTo4vQWSOSMJRZYxJ17Fs1w9fGs/jnfl5vjUaItKI+bk3pUf4fqWuTkC4wDGmHOc/m4IXpWaEtCoB/71nkLt4omkVpN6bhdRf8+iSr/p+FR7FIclE0PEEWL3LiG0zbOoNDrkAuxY7idVq+pwd1fxXc46wYSHQ/fuYq5qtcL587BmjchInjcPJk8WY6fFIlOhgpYKFW6uYa5ft3PypIVz56z/ORV5aYTv/yHXr1/n+vXrbNy4EW9vbzQaDUajkdTU1Af9aCWCpNaQdHIjfrXbow8ohymh8AoYl4DyyHYbDkveCwPFbsFhyUTj5l1Sj1vK/yOy/OrffPNNXnjhBQACAwP57bffiIqK4oknnuDy5Zy/r8ePH2fChAlMmzaN9evXs3fvXjw9PRk7dmy2cvVWvvnmG3744QenKUTmGVwRSaXi4tLJdyw6lBFxmGv/fEO5J18mds8vWFJjKNNyKIrDTqVe7wrLh+unkNQ6UOQbKhsJz4pNKN/1DTSu3iCpUKm1TuM7bjTKOBwKdetK7NghduNBeClWr37TcqGwZFnKazQS7u5qJIkSTw///4gsy7Rq1YpZWf9BheDRRx/F4XBw5coV6tevz7Jly3BxcWHw4ME5rluyZEl2bQFnw5aZjmtgRdxCqmOMOUf8wT9Iu7Sf2mN/Junk35gTrmA3ZZAecYgKXd4gvP047IZk0i7szrM91+AqVOo7DYclk2v/5DQgDWjY9aaKtQTQ622Eh6uBu/M+1GgycXOT0GgoUm0Ob284ffqm4i0vFEX4k586JRb9IPHnn0cICCiOT6MaLy/nDxbdT2bNmoVSyC/ALVu2cOnSJSpWrHjfgm7Hjh1j7ZrV2KxWFvxe9AL3ao0OFAXphiBDsVuxm9JQafSoXS8Cn904ls6taeMgMj5Us/vhMGfkU89jLzAPSaMTY6ciw+ctURQ5W213NxiNZhyyQlh4HYKDG991OwARETZSUmTeeUciOlqicWNRmyPLPad7d7FJdf26sCz77TfhT+7lBd26CT9jf3/Yvl1kdQB06iRx4QLUr69n//7SzeV7gUql4psiGFAfPXqUvXv38sgjj9C5c2cmT57Ml19+ybPPPnsPn7LksBqScfEJJqBRN1RaFxKPrin0vYmHVxJQvzNar0CqDf4Sc8p1DFePIdst6L3L4FX5ERSHnbi9v+JXrxMaN1+McUXLcsuL4lofDRzoyYEDanr0EOuaxYvFvnfr1oW7X60WwbgzZ0QdnQsXRHbkyJFiU2v8eHjxRYXwcFi3zkBUVPELaJVaH4m+qdPp2LFjB2PHjmXp0qXZGchZhIeH88EHHzB8+HAmTpzI3r17ATDd2Pn4+eefs4voOnNgHEC2WUXmlZs3isNOxR5TMCdfJ3r7D5jiLhLQuAce4fWIP/hHPi0opF8+kG2PJGn01J30B9a0GKQbY66kUuOwiAlh0rH1hLQegWdwRdKun7sfr3hHgoPVnDuncPGi6KvjxgmBVlCQqMORVc/D1RXi4uD770WW8+nTULGigtms4sABIcpycxMbYA6Hmk6d3KlZU8e6dZlYLP+dheiDj5yU8sCwWCzEF9Ug7CHBGH0OQ9QJAhp0I/XMtkLdI6m1+NV7EoDg5oOI3vZ9vteVUkpRkWUZg8FAbGwszz//PDExMXz88cdMnToVb29vmjRpwtWrV/O9PyYmho4dO3L06FHOnz+fSzWexT///INKpXIaxY1XmUqkXdiLJekOxqA3SDq+kdDWzxLQqAdqF088KzQketsPBDUbSPWhs1BkOyqNUOw6zJkoigONqxeyw46k1qDIDtwDyzpNWrjVKmoBjB+vzVH0b84cMfl4/HFh01BYOnSA6GhRpOjrr7U8/rgb//zjfFXRHzbUajW9evXKldVREBMnTuTYsWMsXbqU1q1bc+bMGR577DGioqJyXOfM46wh/ip6d2+CHulPxKoPALAkR5Fx9Sh63zAi18/Aq3IzgpsNwJqZjN6YSuV+0zHGXSTxyCoyY86BLKP3DyegQTe8KjbGGHeRS8vexG686f2v9y+HV6VmSJKE3Vr8Qj5arRYXD3UxF7npqFQS3bvDn38W7g5XV6FWzefrNwenT8POncIKCcyYTLElsigvavHm/yoqlYoVKwpfV0ZRFP744w9eeukldDpdjgxJrVZ7T4qtb926leSUVAAyMkvye9oK3EHdnV5Ya0QrkIfsuphER1+kVq3itaEocPKkmSeecEWjEftq770Hb7whzq9eDdWqiUJ+Y8ZkeaMKzGYRgDt5UtTpuPlc8PPPEgMH6jlwwFy6uXwPkCSJv//+u0j3/P3339nB8IyMDEaNGoXD4WDUqFFOM5/NE0mFi5e/mHe7eJIZfSa7uG1hMMaew5qRgNbNBwAX3zD0PqE4LJlY02KxpidgSrhE3IHfCW4+EFRq0qIv3qOXKRySBGXKaFi79uax2bNh2TJo0gQOHbpzGwMGiI3jrl2hVy/w8IBHHoETJyA0VEGng4sXbfz+u+k/beHwINBoNEiSxM8//8xnn33GL7/8QkREBDqdjlatWtG9e3cyMzN55plnWLToZt2YkJAQAJ566imSkpLYv3//g3qFQuPuH4pKrUHnFYwi24hY+SEpp7cCCpJKQ6Xe75FweGUOK8+CUOwWko5vIKB+F1yDqiA7bFhTY3HxL4vaxQO7MZXM66fRe/rd2xcrAlqtREYG1K0rNqDKlYNz58SGcUaGyEju10/Mb00mkWXVs6cQgGi1Eh4e4tz8+eJYUBAMGCDmS0FBGrp3d+fPPw05imY/zJQGx52EY8eOsWrVKsxmc/YO3X8dq9WKi4tLoVU/RUGl0ZFwZBUVe7yNa3BVTHE5vcc17n7413sSl4AKqDRa7KYMFIcdrZsPSSf+wr/+U8TsXJjry9I1uApqvVuJP28p/z/IyMhgzZo1GAwGPvroIzp37kyTJk347LPPCgyMZ5GQkMDHH3/MF198QUhICDExua1/snb209PT8fLyKvF3KApaVy/0nn5ErS+8ikaxW0k+uYnARj1EsNthJ+iR/mjdvLAZU0k6uhZzUiRIKtzKVMW/3pMoioIEyA4biuxA6+JcwaMTJyz06aOja1eyFxMLF8Jnn8Gzzwp/8cKkonp6wtChIqj+7beQni7xyy96IiNtnD/vHEr5hxVFUZBlmffff58xY8bc8fr+/ftTr149AMxmM2vXrmXEiBEkJibmutYzy3TaCcmIu4J/pQb41X5cKMcPLAMg4fAqKvWeSt1Jf6D18MOSEo3dlIbisKMoCq6BFSn75Ms5AoqGqBNcWTWN1LPbc4ydWg9/KvedjsOUjkrvjtWQWuznblC3FsHlqvDyyy8Xqx27XfgqFjY4PnCgUI4XJjgOsGMHNGsGOp1LdrZQKSVHWlrhiy8HBQXRs2dPdDodSUlJLFu2jKSkJLy8vOjVqxdly5Yt8Yyrdu3aZSvH3dxciny/WqNDUqlEoS+ET6rDnIHaRXynKLL9luJ8CnCjP96YV9sMSdyuKM8PrYc/SCocVlMh78ibLOV4aGiVYrQiqFpVS4sWrhw5Iiwb6tYVad4OB7zzjui/16+L2h3TpomifUFBok/36CEW/O+9JyxXNBoR1LPZRP997jkV4eGaElGklpIbY0GpNXlgMplwc8u5vnrxxRcZOHDgA5/LFoRaq88WbCiyjMNcdHNsh8WIPTOVmF0/oThs6LyD8a/3FO6hNbBlpqDzKkNA/c4gSch2KzZj4b/37gVZX5G3WhmtWAGHD8PKldCmTc4Nqdtp2VKoU1euFPfMmiXaioiA9u3hyBELhw+bycws3bm6VyiKwq5duzh69CiDBg0iICAAq9XK+fPnGT9+PEuWLMFwm1fVsGHDyMjI4N1332Xjxo1Ok6FcEC4+wUI8JUlcWvYWGRGH0XoGEtCo+w2bFI9cBa7vhCHqOMHN+uNVqSnW9Hiub/ueyn3eR61zx2E2IFsy0bgH3Lmh+4TFIjIw9u4V/XLYMJFNdSuvvCI2qWbOhKQk8PERSvHUVLGBdfuG1xtviAD6N99IBAVpaNJEz/79d59x5kw492/0/yO2bt2aPcm3WP4bv1yFwWKxsHr1ar744otit+Xn50ef3r3x9PLCs1wDUs5uw9hsAJX7TefC4pewpFxH6xlI2OPj8K3eGkW2Y4w9j2y34hpUGRf/ctjNBqypMWjdffGu2pLUszm/PQIa9cCQkc73P8wvVlB/+/btJCfr8PevX9zXLuU+MG/evFyThKJQoUIFevfujdlsRlEUpk6dypEjR5gxYwZ6vZ7vv887SyEvFi1axMcff8zw4cP56KOPcp0PCxO+vrGxsURERBTLY3X79u2obAZqVgy9q/vVOhEMsCRH3eHKnJiTo5DUWs4veYmwdmNwC67K1bWfkHxyU46CRcknNhK97XsCm/QmtO1oUBzgcNwTBWBxiIqyc/myjSVLNHTqJHHmDDzzjJiAlCkD//ufsGC4E++9J2xVsn5dFi+GZ59VqFtXXxocLyZqtZoVK1YwevRokpKSeOutt/L9ju/evTs//fQT+/bt47vvvqNBgwYMHz6c7du388QTTxAdHZ3j+q5duzrtIkKt1SOpVCiyg/AO43ENqkTcgd/xqf4YiiLSSRMOr8AYczM9VOcTQkDDbgQ16Y2i0oAiE3/wD+L3L8NuTM2+TtLo8av9OCGthgMQt38ZYe1G3+c3LBiNBtq2heHDxYZVQZQtKwJwa9aIRXxheIjLtzwU+Pn5FcoSMCQkhF27duHu7s6gQYNYvnx5jlTyl156iU6dOjFz5kwqVqxYYn21fv36lPF1R23L4NkBXYp8v2dwRQKrNCZm9yISDq+i7vPLMSdGoPUIQOPmhSXlOgmHV5F8YiOOG8X13MPqUPXpz4k/uJzobfMK/VnBzQcS2m4MV/evwVGM7I75S9ex78RlTLagu24DICREpG3/9huMGCExeDB07AjTp4uU8GHDhC/qypXCnzg0VCzWR44UG8mDB4uAeq1awg/5+edFu4mJwn4FwN3diRXJDzkhISEkJRW+KF2ZMmVISUnJccxkMvHDDz/w/PPPO+X4CeScb0qgcSt6IF+tcyP53E7Szu/KPpZ4ZDXuYbWp2Gsqer8wApv2AcCclnsD/n5js4kC00FBN9/dbhdBtK1b4cAB0U8XLhR9MIvwcFGP49VXxTVPPy1qArRoITKt2rcX1506ZSkNjN9jNBoNjz32GCNHjuSNN96gR48e2WOfoii4urrmWPfWr1+fVq1a8fPPPzN06FCqVavmtH3yVrQuHkhA0rENZEQcIbTtaIKbD0S2mUk9vxv/uh0LLISbF1niD7spjbM/jsGzXAMAHDYxbmrc/ZDtzrMmi421Ua+eC0ePij6WV3Fbux1+/130y927hb1KYCBs3px3JojdDn/8AUeOiKB7gwaupcHxUkqWdu3aZSvHi1oU7GHFarUiSRIVyoUTF1m8FDH/gED6jxmNkplARloEAY17kHxqE5eWTabq4C+p/swcko5vwLf2E6DIXNvyLcnH/8JhufnF7xZSg6CmfQhpNRyHzXKzeNgNXIOq4Ff7CTb/s4nYqxduf4QikZmRjt3uU6w2Srl/GAwGIiMj79qXP6sQX3R0NLVr1wZg9erVtGnThi5dunD9+vVCt5Wens7Ro0epUaNGnueHDRtGYmIiNpuN+Ph4jh8v2o74raSkpOClL0agOSu4qCqaJ50I1tnxrtgUt+CqXFz6Ooar/+Z5rWwzE7d3CbaMBCp0/x+yRimWX+q9YsMGA927e7BtmwabTUKrheXLRer3//4nlOP51ZWTJLGAeOkloYi7NfY6e7bEH39o8ff/b1cPvx/89ddfNGzYkMmTJ/PUU08xZ84clixZQkZGBmq1mieffJIJEybQqVMnAJo3b07z5s2xWq1s3LiRZs2asX79elq2bJmtmtNoNIwbN85pFxFeoVVw2CxIKhWW5Fh8a3fAr24nUGSurJiaa4MYwJoaQ/TWeaSc2kLVpz9HpXMluNkAgh7pR8aVw9iNqah0rnhWaIxa70b6xX1EbvgC76otxIaDRGHFrPcFRRHpol5ewu4oL//xxo1FEE6WhX1DYalQQfTfUkoeh8NB3759+fTTTwu8TpIkVq9ejZubG9988w2TJk3io48+QpZlIiMj+emnn1i6dCkbNmxg37597Ny5k2rVqjlFAV1DQiQBlRshqTQ4TGmknNyEb50OSCo1ySf+5ur6z24W4LyBOSkClVaPMbZofqeZMeeQJBU6D19MycW3PiouzZq5cvy4CIzb7cKy4YsvhB9xgwbCQmXyZKEglyThd6woEBsrNrFatBC+xenporj1v/+K87VqiQKeALVr6zh//r9XUOxBY7fbGTp0KG9k+d/cAa1Wy8CBA/n9999znVuxYkWxM4TuJQ6bVYxriozdmI5rcFV03mWwphXOns0ttBY6r8A81auZ109xbtEEaoyYi9bND7vFiPWWDegHydWrdoYM0TBz5s0BLjYWHn0UvvwSPvkEPvxQWIulp4uif48+KgJzs2cLkcc334jNrNdfF5mU06fDW29B+fJakpKcbx7/X8Nut7Nnzx7UajW+vr4kJCTgcDgICAjgm2++4ffff+fjjz8mJiaG3377DaPRyNChQzEajU6dzXErOg9vJLWGhCOrKPvkSwQ07ErM9gXEH1yOpFLjX7cjOq/gorXpXQZFUUQWs8OBT/VWmJOv4TClo/MJxS2kOgnnD9yjNyo6Hh5qQKFnTynPwPitXL0qxse//4b160WWh0qVf6mgy5dh1CiJ1auhfn0dx449/IoQ51yt/T+kfv36SJJETEwMLVq0eNCPc1/Yu3cvycnJBPu4YU6Px72oleluYcCgF5AsaVxY8iIeZetRue80vKs9Rtr5XZxbNJGyTzxPYNO+WFOiOb/4ReyZub0YjTFniVg9nYyr/1K+y2t4VmhE3N4lALiWqUbl/p8QGxvN7k2rUBcj+JZpMjlNBeNSCk9qaioRERHo9foi35vlQfz333/z3nvvUaFChey2zOaiF4Qym815Poe7uzujRo3iwoUL1K1bl+3bt+dpvVIYLBYLJpMJr2LYCNktYhR2D6leaM9xEBtV1rQ4Ahr1IOHQn/kGxm8l+eQmfKq3xqtKCwyJRVOq3w9sNti710SvXp4cOaLQv79EbKyYdGi1YjE/fLhIL/3zT5HK5usr0sLHjYMqVeC118Ri4lZW3yiuXqaMhqSk0u+Vu8Vms9GhQwemTp3Kzz//jNFoZPbs2Xz33XeYTCZcb4xPZrOZv/76i7fffpu4uDg8PDx46qmnGDduHMHBwQQGBvLMM8/w7bffAvDuu+8SGBj4IF8tfyQJz6AKOExpZF4/jXtoTUzxl3ErU5XrW+bmGRi/FVP8RS4vn0K1oV9jNSRlGTrgU701klpD/IE/SDy6OjtI4FqmKorsEAVznWgMlCTxM3Om2KiaMwf27BF9tkIFEQxv0QIsFqGsSS6klbOXl7BhcYIY638SlUrFpEmTmDFjBnIB0c3HH3+cJk2aYDQaeffdd1m7di3btm1DkiQaNmzI/Pnz+fzzz3nzzTeZN28e3bt358KF4gkgSgpFduCwW/AoWxeAa1u+xbdOB9IvHeDquk9FEc3bkdTZ9xbxwwCRTfKg8fVVUaGClv/97+ZmlckEP/wgguK7d4tAm6srHD0qinHGx4tiYZ07C5sVRRHK1YkTc9uWvfNO1niroUsXd9auzSz1Hi9BNBoNo0aNYurUqdlWfwXRt29fypQpkz1u3kpRrJMeBIpsR5HtWFNjUendUWQHAY26E721cFkbgY17YEmJJv3ywTzP29Ljub75Wyp0f+vG2OkcitSTJy10767N5TGenCwyI199VWRotG8v+uL166K+zsmTUL++UIqnpoqsyfBwoUD19IT4eIVHH3UlMFDNpk3G0o2re4iiKGi1WubOncvcuXO5fFnUavL19WX48OFMmDCBAwcOkJqaioeHB+vWrcPb25umTZui0+mQZdm56wEAkqTGmp6Aa1AlAht15+raT0g6frPQU3rEYfzrd85x7E4ENOiKMe4CrgEVqDrkK1wCyhO9RXjtBTbqDrIDQ+K1En+Xu6V2bT1//AGFDQds2gRnz4rMygoVRB8uKAl93Tq4dk2hRg19aXC8lFJKCndX17tKOQXQuftQtnJ1Lv3xNg5TOmnnd5NyZisVe75LxtUjyFYjOt8wUGQu/PZqnoHxW0k6tg4X/7IENe2LT422+NV+HO+qj2LJSMJ6/RjDenW4q+fMYv7SdcW6v6jo9RJubhKyDJmZcp6quFIKh16vv6vNK61Wi9FoxNPTk/T0dF599VUmTpxIUlISYWFhqNVqHEWoZFGuXDnOnz+f6zOWLFmCTqejZs2agPA4v9vNtr1795J5py3mO2C3GHHYrAQ26U3yyU2Fukft6o1vzXaYEq6g9wsn4cjqQn9ewuEV+FRvhUbvhv0ufB/vJZIEHTt6cPgwdOwoYTZDvXoiLa1qVTERKVsWPv9cBOmyyArIDR4s0t1ux2YDs1lBqy2VpxYHrVZLnz59qFy5MlarlYYNG7J06VIGDBjA8uXLefrpp/nnn3/o2bNnrsX+uXPn+Oqrr3j55ZeZMWMGU6dO5YcffuCdd97h7bffdtoFhFqrR61zQbYake0WdN7BGK6dwsUvnIQjqwrVhiHqOIaoE0hqDe6hNUk4/CmuQZXQegbeKGotIk4qvTv+dTqhUmtQ8groPUCyFt9Lloh++uqrojhYFtevi+CaqysMGSJ+tm8XQfQVK0QfzItnn4W72EstpZBIkkRYWBgff/wxr7/+er7XzZsnglTffvstX3zxRS7bo0qVKvHmm28yd+5cAgMDmT59Ohs2bKBjx45OoR63GtLwLN8QvV9ZXALKo1Jrid4+P+/AOAjPU7sVF/9yFCWsqPcLF7UXnCD4Vr26jtRUhT/+yDmuTZ0KTzwhxsTISKFqu71M0/ffi7F05kwRpNuwQYyzt2K1CkuWq1cl1q7V8sgjLuzfX3ShQil58/HHH/P888/z888/M3DgQOwFLDyqV6/OrFmzWLt2LWfOnMl13s/PeQrb5YXW1ROVWguShNbNC4fVRFCTPqSd30Xm9dMF3utdpQV+tTtwffO3FJROlXJmG+Edn0fj4oExpXCK9HvNlSs2TCaFxYuheXOJ2xxxSEgQBedPnRI1AqxWaNhQ1A24elVkQnbtKoQhcXFC6JGcDN7eEr17Q82aesqW1fL77+mkpZXuXJU0NpuNy5cv06FDB65dyxnITUlJ4csvv+Tbb79l6dKldOnSBZvNRrly5bBarRgMBnx9fbFYLGg0GtTqomUH308U2Y7DYiDokX6knt+VKwieeHgVlfq8j2uZaphiz+fTyk3cw+vgVqYqF5dOxpaRQLVh3wASSSc24lG+AUFN+4r5sF8ohoQ71xK71/j6qggIUPPTT0W7b9EikcUhyyJAXhCyDAsXSrzyivP+HhQF51utlVJKEfEKqYI1I5G0C2KGHNCwG24hNVBptOh9w1G7euHiV47kU5sLXUE8/sDvIElU7PkOrmG1Sbx0mOgT27KLIjk7kgSVKmnp3t2DceN8eOYZb0aM8Oa553x44gk3ypT5b3yBPSzYbDaOHz/OyJEjmTZtGhMmTOD5559n5cqVBAQE0KVL4TeGWrZsSbVq1Vi5cmX2scaNG/P333/TqVMnxo0bh4uLCzExMYVS7NxrZNmBe2hNPCs2KdT1ZZoPBEnCPaQ6xpizWFOj73zTDTIijmA3pePqU7QUuftBpUpafHxUjB0rAuONGt1MN23WDGrWFMqZNWugSxehOO3SRSzyhw7NOzAOImDn4iJhtZYuHkqCqlWr0q5dO1auXEm/fv1Yt24dTz75JGvXrqVz58759ilFUfj88895/fXXCQoKIj4+nrfffpuEhASn88DPQrphdySp1Lj4l8eSGotnhYYkHd+AYi/8WJd4dLVQncddJrj5IHReQUiShKS5GVgMatoXSaNDtttQHM63QztokOhnQ4aI9O/y5UXGRkaGKPC3Zo3wOO7dW3imAixdCufOQZ06udtr106klZdyb5Ekiddee43Zs2fj4+OT6/zYsWOpWLEizz33HK+++mquwDjA5cuXGT16NFOmTGHatGn07NmTBQsWOEVgHMBhsyA77IS2HklAg65kRp/NVWQ+B4qD1LPb8a/fhewCnYUgoGE3UBQclqIVUrwXuLuruHw5t2e/ySSyra5dyzswnkVUFPTpI/rozz/nv7j/6y/49luJunX1OOH+5UOHLMtcvHiRN998k4EDB9K9e3fWrVtH3bp1c12r1WoZMGAAu3btIiYmhqFDh+bZZr9+/XLUB3A2PIMrCitOnxASjqxBpdFjjLtAlYGf4VOjDXn2QUmNf/0uVOz9HqnndxF/qOCK0IrDStr5Xch2K9bM1HvyHkVFUSA52U6FChL79kHz5rmvadxY2Bi99BI0aSIU4hUqCK/xl14S896nn4Zy5USG1uTJYtwNC4O+fSElRWLgQG+8vUs7Z0ljNBp5/PHHcwXGb8VsNtOvXz8OHz7MiRMnaN68Oa1bt6Z8+fJ07NiRrVu3OnVgHIRIS+Pmi1twFRIOr8x1PvXCbkzxl6nU+z20ngVneeq8y1Cp93tYUmNJv3wAU/wlYnf/jCSpqDlqAVUGfpbto+dZptK9eJ0io79hjVoE99bs6z08xMZWYaZCMTHwX3GFLlWOl/LQo/fwJv3iPlAchHd8gaAmvUg+uYkrK97DGHMWj7L1qDb0axKPFl6BajMkkXZht7BoSLhGekwBZbedDFdXia5dPQgL03DwoMKHH8KFC6BWQ9OmEuPH6xg4UM+pUxY2by5NWbtfHDx4kEaNGtGoUSM+++wzZs6cye+//86pU6d4/vnnWb065+9n06ZNGTx4MKGhoSiKku2N+sILL5CcnMwjjzxC69ateeqpp2jUqBE2m40PPviAhQsXMnHixLuyf7kXSIDscFCpzwdc/O11Mq+dyPfaoEf6EdxiEADmpEjsd7EIsJvS0RTDCuZWzGYD27bNLpG2WrcezL59bhw7psLNTQTbzp7NWRxl+3ZRNGzo0LwLpuTFgAEgywrLl/9IXFzqXT+f2WwAnHuSe6/RaDQMGDCAPXv2sHfvXuLj47P9F1966aU8rRuaN29Ox44d8fb2xmg0cuzYMa5du4aiKEyYMIFFixY5bXBctonIk4KCzjsYc9JVPMs1wBR/uUjtmOKvAJAecYigR/risJqQJBXKDesU/wZdCG09AtlhQ1Jr0Lh4YDfffYHjksThgI8/Fn7GWVgs0LSp8EVdvlz0ydjbxHrz5kHt2iLwtmMHPPaYSBMPDBSL/ClTbvogl3LvGTt2LCNHjmTx4sX8/fffmEwmwsPD+eyzz1iyZEm2erwgpk2bRps2bZg8eTKTJk26D09dOBQUJJUa31rtcFgySfx37R3vSTiyiup1nsC72qM5ivzlh0fZeriH1EB2OLA4QfBNUfLuO23bCkuGdu2EMvVObYwaJWxWxo4Vgbe8+PZbmDRJRdWqWs6dc94g7MPCrFmzAFizZg2dO3dm0aJFHD9+nJ07d7Jp0yZMJhMhISEMGjSIkJAQrl+/TkxMDHPnzmXnzp0sWrSI9PR0ADw8PBgxYoTTbFTlhdbVA1BIOraB2F0/EdCwK2kX9iDbLNmBtMQjqzAnXQUk3MpUJaBRd7TufiQd20Dkhs/zzQK5Fbs5456/S1GxWGDvXoXGjSX27hUWR7/+KorNe3qK7CmAw4dv3qNSifmvJAm7srxis3a7GHt37ZLYs0ehe3cPFi9OL12vlhB2u505c+YUqt6V1Wpl+vTprFq1ikaNGnHkyBEURWHTpk1s2rSJKVOm8P7779+Hp7470q5foEytR7Eb08i4cjj3BbKDi8smU23o11R/Zo6op3N2O4rj5s6spNHhW7M9Ye2fQ+PiybV/Zmf32aRj6wlpNQLZbkVSqVEcdiSVGo3+7q2CAeITErkUcRzYwrZtc+66HZVK4tVXJeILpw3NZvlyUYwTRH++E4sWibo8mZl330ktlkz0ei09etydk0RJURocvwOLFy9m8eLFJCY++OrQ9wudTkfdunWpUaMGrq6uyLJMSkoKR48eJSIi4kE/Xi4klQaH1Uhwy8EENenF1fWfkfTvTesSrWcAAObEiCK1a0q8ikf5RniFVCI16gxOVUEsH/R6iV69PFEUFa1aiYnFrWzdCjNmSAwdCvPm6dBqJTZsKPVavB8kJSWxcuVKBgwYwLp163jjjTcYOXIk1atXp3bt2kydOpWpU6fSsWNHpk+fTpMmTYiMjOTs2bNIkkSrVq149dVXsdvtZGRk8NJLL2G327N37TMyMujcuTMffPABCQkJlC9f/gG/MUiSCo3eFUWWQaWh6uAvSDm1mYTDKzHGnL1xkRqfai0JaNwTrwqNMSdfQ+9dBnNSFGoX9yJ/plrvhk7jUuxn1+tthIergZJR31evHsYHH4jV/qBBUKaMCKjdGgSfNw/efFOoV+fOLVy7EyfKnDhxEYcjhoCA4jyhGi+v/7+RPIfDwenTp/nrr78AoQS32+00atSIDRs2ZHsxZjF48GBeeeUVGjZsSGJiIgkJCbi7u1OuXLlsf8bNmzezevVqunbt6pSLe9lhw5gSi87VA42LB5aUwmdp5EQMIHrfMCRJhVrnit2UgV+djvjWbId31RbIDgcOswG1iwdaFzenCY4rSm4f/7JlRdD7t99EX8xvfDx1SgTrdu0SWSA7dsBTT4mA+7ffQv/+EBp6z1+hFIT/uIuLC8OGDePZrIjMDWbe6lN1B77++mtWr15N/fr1S/oR7xqHzYwkScQfWkFAg64ohbBgy7x2krRL+6nQdTIXlrxSYHFOF/9yVOrzAbLDhkqtxd0/lMwH7JeakSFTv77wEDfeImQfP15sQm3bVrh2TCZhlzR+vAjIRUfDlSs5rzlzBk6eVAgPLw2OFxeVSpVD6LF582bKly9Pjx49GDt2LOPGjSMgIACHw4FGo8Fms3H27FkyMjIICgriiy++4OOPP+bHH3/kjTfe4Pvvv3caoUd+qPVuqLUuJBxZhd2YSuqZbQQ06g6KjCUtFmPseUJaj0ClEbJK2W5FpdFx7qcJZF4/VejP0eg9QFKhdfXCZkq/V69TJBIS7DRqpKFGDW4U5BOZVFqtCJxnhU5u/crq3FnYq7RsmXdg/Fbi4qBnT4njx9VUqaLl/PnS/lkSqFQq5hZ2kQGsW7eOyMhIRo4cyZEjR3Kc++CDD6hatSoDBw50ynluZuI1FFnGYTGQXxzHlh7PuYXjKd/1DSr0+B9hT0wg/eI+HBYDahdPvKu0QO3igeJwIKk1pF+5abJvN6aScfUoisOG4eq/+Nd/CtnhEOveYhB5LfqGaAnM5uL199stjwpDZmbhRVoABoP4KS5mM2wr7AB/jygNjt+BwYMHM3jwYMLDwwu1w/YwI0kSrVu3plmzZuj1ev755x8uX76MVqulVatWDB8+nNjYWDZs2MDVqw/eRykL2WFD6xFAQMNuxO1bmiMwDtyysi2aek9CQraZ0HkG4u4fRmaS8xRXyI/WrV3R6VQ0by5xLp+1kCzDTz9BcrLEihVa6tbVc/z4w2EX87Bz+vRp7HY7PXr0oHv37mzatInt27fToUMH3n33XTp06EDz5s3ZsWMHXbp0YePGjdlqVY1GQ48ePZg8eTINGjRAlmV0N3KYIiIiKFOmDI888giNGjXCx8cH6+35yA8AlUaHoiggSUT9MwuNzp2ARj3wr/ckNmMqstWMxtULtd4NQ9QJLi9/h/TLB6gzcRlqvTvuobXQuPlgN6YW6vNcg6uidfdDVUz7I61Wi4uHmlq1/IvVzq24umq5IYZiwgRRwOT2RXpUlPBGnT5dLP7z68NZvP46NG6s4sgRQ4k9q8etZsv/j1CpVHxzW5Q0OjqaunXr8sUXX+Q4/tVXX/HCCy+wdu1a3nzzTf7++2/xew7UqVOHcePG8eyzz7Jx40amTp1Kr1697tlzHzt2jLVrVmOzWlnw+/oi369SqbMX7VkLB9lqvrGQuBMSKp0Lat15mBp+Sxu3jrVzUBx2HOYMNG4+IEnIdityUYsF3oLRaEar09G1W/e7bgOEOm3t2tyq8OeeE3YOY8bkHxjPIj0dRo6EgwehYkWhTl24UCxG7uF/eyn5cPvi/MKFCxzIz5MqD9atW0dCQgKDBw/Gbrej0Tz4ZZIh/ip+5WqTef0UAQ27ofcJKdR9V1a8R9VBM6g6ZCZx+34l6d+12Aw3JWAaN2/86z1FcMunUevccNjMmOIu4Rlc8YEHx8+etdKihQtPPy2KcGbRvn3OmhwF8eijIijet69I9951Q0D/77+iXsCSJTcX//HxEpUqOWeGz8NGRkZOhbPdbmf58uUsX74cPz8/du/eTVhYGO+99x7z588n4ZYUgJCQEEaPHs1rr73GwIED8ff3d9rMqyxUKjXWjIRsq6OY3T9Ta9QCZLuVM9+PwJoeh6TSoHb1BEXGLbQ2Vfp/iN43tNDBcUmtxbtqS1RqDf6VGxB7cse9fKVCc/KklaZNXejcWVioNGsGL7wgLI30emGPAlCt2k31+PjxYrzMzxLpdk6cgB07FOrW1ZcGx0uIlJSUIsVxHA4Hhw8fpmLFinme/+STT/K1RXrwKICCSlew2MqemcylpW+g9wsnoGF3PMLroPcvh+KwkXRsPdb0RMp2nIgtMwWNuw+W5Kjsex3mdLQe/lxePgXX4Cq4BlfBYSteDYty4aFciogGVOj1RReK3YqLiwpJyj3XzQ+VCkJCxPxXloXzgMmUfzF6tVoIviwWBZvt7tWWWcrxtm3b3nUbJcGDn/WV4hRIkkSPHj2oV68en3/+ObNmzSIqKirHNW3atOH9999n6NCh/P7775y7U+TmPmFOS8Sn2mNIajXxB5blOm9NjwPArUxVDJHHCt2ua3BlLCnRKLKM3tPP6YPjrq4S1arpmDw5/8D4raxZA3/+CW3blgbH7ycXLlwgKiqKGjVq4OPjQ//+/XFzcyMzM5MWLVowd+5cJk6cmMvCIWuBsXr1ahYvXkyPHj2YMmUKMTExPP744/Tt2xeABQsWULt27WwF7INEkR2gyMg2M8nH/0KxW4jbvxSvSk1xDa6CWuuC3Wwg48phTPEXs+9L+ncd/g26gqLgX/8p4vYuKdTnBTbqIVLbiumB16BuLYLLVeHll18uVju3YrOBv7/wM27YMH8/4rFjb6pQn3kGNm7MfY2Xl1CYT54sAnxZdj2l3D2SJHHy5MkcxxYvXsznn3+O8Rbp4pQpU3jhhRcYN24c3333Xa52Tp48yYQJE1i4cCF//fUXL7744j197q1bt5KckgpARuaD8Aq2QGHL/qWW4PNlGoutLpFlYTl2K1qtsGJYtKjwqplDh8RiPzERvvxSHNPrhcVKKQ+Wogo5ZFkmJiaGpk2bOkVgHEDr4o4iOwhtOxpJkvCu9hhqV28cpoL7nWw1cn7xS1QfOouQx4YR8tgwDFHHsZvSUes98CgrfKCTT25C7xuG2sWTzGsn8a71+P14rQLJyJC5fNnGa69pWbJEylaPe3vfVKPmh0YjMjdGjRL9e/JkMaZarcLveORIcX7yZJHpce6cGFMVxbmDsA8LAQEBJOWRhy9JEitXrsTf358WLVpw6lTuwHBMTAzvv/8+a9euZdu2bciy/FB4GquUm0FbuzEVBUj8d032+lOR7dgzhXzTGHMGRZaLVKjep0YbNG7eKLKMm2+I01iTZfXTd9/VsnatxP79Iug9aJAomvvrr7B4sdhofu45MS4++SRMnFi0z/nhB4lFi7To9RIWS2mqc3EpqEBuQfe4u+cdpD116hR79+6lWbNmTll8XnbY0Lr7FKropiX5Gtc3z0Ht6k3dSb8Ts+cX4vb9hu+NcdGWmUK1wV8R9ddXJB5dA4Ba745sNYEiE39gGRV7voPVcBdy7VsICgzA06cWwcGNadt2QrHaCg5WM2iQFy++WLjN5Z9+EnWvLBaRDdKgAfzyi7BNefrpnKIRlQqWL1fo0EFhwYI0CpHYli/bts0mIMBUosK0u8E5Zn6lPHBat25NvXr1GDRoEMuW5Q4wA9kK119//ZU+ffrwww8/EF9UE6N7QHrMRbzDqpF2YXcOVUwWmdfPYE6KJKBRj0IHx3XeZfCq3IzI9TMIatoPldr5u0qtWjocDqFaKyyzZ0v066cmPFzDtWvOVyTtv0iHDh2oVq0aAE8//TQXL4qg8P79+zEajXkGxm/FZrMxZMgQDh48yCOPPEL37t2ZP38+L730Eh999BEjRozAarVy/PjxYj9rcnIyZ06fYsfeQ3elSgXQ6F5Atplx5PBL3F3gPdJnB9G4+6LYrUhqrVhsyAX/fkpqLZo5Y4UPnKTCbr07O5SSUqXejlot/MGXLhX/zm8HPzVVWDUsXw4bNghf8gUL4OpVEbh77DFh9eDiInyN+/cXBQP9/UVQ4P8r8+bNw3CXOX1+fn4MHz481/GFCxfy8ccfU6ZMGQCCgoJ4++23mTZtWp6B8Vs5ePAgvXv3ZuvWrQD89ddfeQYDiktwcDApyUlIgJtb0e2EJCTUuqz7lBvCbwmHJRPZml8wW0Lj6oWk0WI3pufwZrz9OrWLOyqt8F6UbRZUGm2x+ifc7KMloS65vc/UqAHBwTk9yAvD0qVwq+1mv37CEqKUB4vbXfwnuLq64u7ujs1mc4o0ca+QyjcyJP2Fp6nsILBRd2J3/3zHeyW1Bp13MAmHV2FJicKjbH3UejccFgPR2+eTdHwDDlM6AY16ULbTC2RcOYRaW3xbspJg3z4z/ftrWbFCoVcvESDPzBRexgWxYIEYa0eOFPPhWxfyx48L+4fKlcVCf/t26NFDbFgfOVI6By4udrudAQMG5OlB3KlTJ1q1akX79u3vOBYeOXKEIUOGsGrVqnv1qCWGbLehc7/5SxnadjQqtYbEI3nXubJnpmA3Z+AeWpOAxj1JzKNI4K1oPQIIazcGh9WMSqtHtlvxCqlM8pXCi73uJdu2GenXz4vt22H6dImvvoIZM+Cjj4QFEsDgwfDuu+LvKhVERhbtM7Kud3EpDY6XBH5+fnh5eWV7+xeGKlWqFNhvjx07RuPGjbMzmp0J2eEAzAQ26kHk+s8KdY9/vScBSDy2AQDXwIrIdhtn548i/ImJlOv8CnZzBhlXDuFZviGxu38BIPXcThyWTKcy4o2Lc3D4sJkvvtBjs0nMycfCXK2GWbPEGvPsWTEfXr8eTp6EY8dEwPz0afjgA3G9Xg8LFih06wZr1hiLFRh3Jv4fL6VLyUKn09GsWTO++OKLfAPjWdhsNgYPHsz58+dp0aKFU0xc7BYjimzHlJifQkgh4chqwtuPJda/HOakO4/KwS2fxmExknxqMyGtn0U2x5XsQ98DQkI07NiRf9pLXmzfDmlpCiEhpcHx+0FISAiPPvooU6dOZcqUKbRr146LFy/SpEkTHnnkEbp27VpgYDwLq9XKzJkz+f7776lQoQIRERHExcUxcuRIMjMzGT9+PL6+vsQWNocqH2JjYzEaRRDr/qpSrXehMrVCShEM0gqiBFSpt6NSCS/GevXEv/MRYACi+EnbttCqlUhB/eADMQkBUUH8s89Eqnl0tFC9FTWQ91/EYDAQGRlJampqke91c3Nj2LBh1KtXjz179mQfT05O5uzZswwfPpxp06bx7LPPYrfb+fzzzwvV7rZt29i7dy9NmzalSpUqnD59muPHj2dbsJQErq6utGnRhHrVyvHsgKIXsXH3D6NM7VYkHttAQP3OKA47iiIjqdRc/vPd/2PvvKOjqPow/Mzsbjab3jshhN47iIAgvfeOgggWEBUsWLD3gh1QUAREQKRKR0CaVOmdQEJL73V3s2Xm++OSQCBAAglEvzzncJCdmZsZ4e7c+yvvW6iZn2etdlTq8xZnF7xI1oVCDI6uI6z3m3hUby20GqP24xrWiJgjm++4smbWojXYda74h1a5o+vz0GiE9MK1uLmJ34tiQHQtKSkiGK7Vior0CROEzmoZL3r8z9OwYcNiBQEqVKhA5cqVUVW1TATGARzdfNHo9GSe34+Dmx8Z53YT2GokxoRzZJ67uTaBpNUT3u89kEVXpSUjnqT9yws9127ORpJk9N6hyFodstYBxXZ/pdmSk+38+WcOXbo4c+QIfP01HDwogtmffVb4NUOHCkPrwYNv/V6MjBSmnrt3i8pWVVXLOyhLAI1Gw7hx4/joo49uqE4dN24cBw8ezE8Y345Vq1YRFRVFWFhYmaxGzcOWa0LnH4ZTUE2MsadwCamD3ZxNbtpVKVadqy9aJw9UxYZrpSbonNzJiNxLaOcJaBycSNy3GNV+o2SIIaAalfu/j+zghMbBUawdFDsOzu738hFvSXa2yrJlWfTq5cKsWTL798Mbb0icOyfWuZ07CwmjNWtEMQdcXc8WFccr+Tq7vSyFHP+9aDQaHn30UaZNm1ak85s0aULDhg156623bnpOWZY/UhU7ks4R73qdST22gezLty4e03sGE9BiGGkn/8JuykCStfg07IE1Jw1Uheg/v0Xn7EWFjs8Rv+c3kDUkHxGSvqrdiiUzscwVVe7YYUKWYdo0R8aOVfnuO4lVqyArSxRYDR0qujsCA0XX1axZwh9g6VLRsXXwIERFiSKQkSNFsPyhh1Q8PUVn9N3IqZQ1ytbfXDn3hbp166LX6/Mdxm9Hbm4u06dP57333uPPP//EZCoZw7q7QbFZb6konnJkDf7NBlFl6BecnT+hwKLlevwfHI5vw15cWv8lTgFVcXD1JvnCsZK/6RJGq5VITy/+yykzU1SkllP6NGnShOjoaD744AMaNmzI888/j7+/P2PGjCEuLo5169YVeayFCxfy9ddfM2TIED755JP8zydMmECfPn1o1qxZAWOkOyEgIICE+DhkSbqjqlQArYMBxWLEnluMwLUko3PxxmbKRLVb0RrckTRaVLsVxWoWci0IM17ZwRFJvvoqUxUbkqTBdod6byVZlXo9ERFCTzwxUbSWrr1NMf6OHeKXJAmZh9atRVv4taxYAXFxQl4lMPD/u3o8PT2dCxcu3JGBV0xMDOPHj7+hInzixIls2rSJDh06MGrUKH777bdiBeCnTp3K/PnzycnJYeLEiRw7dox33333Bl3WOyE3NxeTyYSb/s5LlCWN+PK/vP4rvGq3BykvCCER3v89Uo6sJ+nAcqGnKmsIePAR/B8YStalI0UKjAPEbf8Zr9rtMSVfxLViAyRJQqO7/yZrGg00ayZaRg8fFp/lNR/kBcmLiru7MBKy2UTbasOGIiFWzv1Fr9czYsSIG/wEbsZTTz2FoijIslxmNvuSrCEn7gz23BwsGfHE/DUTvUcglQd8QMLuBSQdXIk1K+naC3ALb0bgQ6Nw9A4l8vfXsGTcOlGuNbihKgrulZsB4OofRkbMrdvPi4LZnM3WrUULwBTG1q1QqdJIwsMr8PXXIuGk14skc2HNcePHw8aNRUsYJyfD66+LcxMSMli1qmj/Rm6GME/7/86GSZKEr68v3333HWPHjs3/3M3Nje7duzNu3Lgij6WqKt9//z2f3kyDroxgyUlHtdvwbdyXi7Gn0RjcUFUVSeuAZ612+Dbqg3NQjfzzVcVOblos8X/PwxQfQfDDT+LXfBAph9eQffkoqt2Kg3sA3vW64lKhLjZTJrJWj6rYMSVdxMk/HO1ddF6VBhkZCuvXZzN8uDvffAPTpon16JtvQlKS8PYYORI2bxZ+HG3aCFnPotKmDZhMKibTfycAd7+ZMGECP/74Y5H8qSZOnMjFixdZe4tNS4MGDcqMFNn1qKoKqh1j/DkqD/6U8yveu2li2RBQjcoDPsBmyiB6k3h3edfvitbJg9yYk/nnxe2YQ60n5xDU+jHST23Nl00CQJJLtAimpNi2zcT581a6dnXh++9VZsy4usYxGkWieOrUq+/WdeuEd8769aI7cu5cMRdfegn69YO//5Z46SX44AOV3r1dWL48m9jYf3+hZdn8V1zOPaVGjRps3ryZS8Xoc/r555/55JNPqFq1aonIN9wttlwjhoBqNz2uWExELJhIrSdmU2PUDJIOrCD50FU9OCQZ98rN8W3SD7fwpsRun03ywZWE9XoDS04GprS7q8C9F9hsKt7e15uh3RpJAg8PuHix7H2J/9dwcHCgTp06vPfee7i4uODi4kLNmjV57bXX8itUi1I1nofJZOLixYv5kg952O12pk+fzttvv82ff/6J2XznpiBeXl7UDA+546pUgPCWAzEmnuXM7KeLfI1nrfZU6vMmJ74fLhJZsgaPaq3wbdwH14oN889TFTvGhEicA6txacPXhHaegKrYSblwjIzo03d0vyVVlXo9Nhts2CAq2mRZbBRee61ousaensLg6N13bzxmtcKuXUIX7i7N0f8T6PV6WrRoUezrDh06RK9evejWrRubNm2iX79+jBs3jtatW2Oz2Zg7dy7e3t4cPHiwWOPmnT9u3Di0Wi1Llizh22+/Ze7cueTm3l2l4u7du8kpjp18Iah2sZDVuXqLBb3diqzTk33pGC6h9fCq2wmfBt2wmbKQHQz51TBJBwqvQC2M3LQYMiL3oTW4CZNexY5aRv6xWq3wzjtiA6CqIoGVng59+sDevUUfp08fOHFCbPjLjTjvLfYrvbwmkwmLxYLdbsfLywtVVZFlmVdffZXFixeTkHDrDsDw8HDGjx+PRqMpM4FxR3c/ZI2WpP3LcQtvKhLBqp2oZe8S1ut1/FsMw7/FMDLP78eamYik0eEa1ggHNz9y4s4Q8evzt9VYBdENIualHXPqZRycPe763vV6KyEhGuDuAnmZmSnIcgjnz0ssXgwvvCCCb+3bCx3xPOrVgwcfLN78W7FCBO/i4uLw8bnbgKMGN7fyjJiiKDz99NM4OTnxyiuvEB8fj4+PD7IsF9urKiIiokxXjQPYLEYkjRavOh1wDa2Pg4s3qmKn5pjZOHoFkxG5l6hlb2NJj0fSaHAOqYtvo15UHzmV5MNrODHzMXwb9MCnUW8CHhyeP27mhQNELX0LmymTao98jaqqWLKTcPIPv61R9P0gNFRHTo7Kjh0Sc+eK9WjXrvDRR6KzKipKGHS6uwvJo9dfL9r618EBnnxS5fTp3P+MbMP9RpZlKlWqxK+//srw4cOxWm9udPryyy8zbNgwHn/88fw9ap06dQgNDUWSJGJjY7Hb7TRv3vxe3X7xkCR0eidSjq0jZtP3VOr7NlUGfYwxIZKkA8swxp8FRcHRJxSfBj1wDWtEbnoslowEqg6dguzghN4jCFVVcQ6uhW/jviQdWI45+QLZl45i8K/M5T+/zf9xGkcX9B6B5FwseRnFksBuFx51gweLgLizM2RkwJ49Yu17PRs2iCD5uHEiOL5tm/j1/vvwxhvCiL57d4kNG1S6dHFm7ty70x0vC5QHx8vB0dGRqKioYl2TlJSE0Wi8Iz3H0iAr8SK+VZvi4B5w0woZS1oMSQeW49d0AL5N++HfYii5aTEoNgs6F290zp7kxJ4iaulbpJ/Zjkf1h/Cs3Y7kyEOldt93W1VzLa6uzXj00Y74+YnK1KLQsSO4ukqsWvU7Z86UruHo/3tVjYeHB3q9noMHD/L3338TFBTEhAkT2LBhAzt27LijDYAkSYUG1H/77Tc++ugjQkJC8jXN7xcq4BxYo0hGKHn4Nu1HTuzpqx0eip3009tIP70NnYs3WmcvUFUUey5Vh3yOOTWa5AMr8KrTEaeA6mTFR5beA90hWq3Qa2vbFv74A8LDhSbjc8/d/trPPxeJrJ9/Lvx4bq44Xs6dc+jQIdq1a8fvv/9ORkYGQUFB/PXXX/lSKp9//jk6na5YCSwg/3xZltm2bRtt27Zl165ddOjQgTVr1pTGoxQLc3YqqqoQ1GYMkiSj2G2okoQlK5HUYxvwrNUOY/IFDN6hZF08RMbpHVToMoGcy8dvP/g15MQcx7dRbzLPH8AltD5W091XzpcEGg307CkM+p55BkwmoVM8ZgzMni0CZ2m3UX+pVUvMa7gqm1RO6ZM3t6xWK6tXryYhIQFnZ2c6deqERqPh/Pnz+Pr64u3tzcaNG+nWrRvR0YWvc6pXr87GjRtxcnIqM4FxEHrjANmXDqP3CMC9cnNknSOK1cyFP97HKbA6eo8gDL7hOAVWR6N3QZI1KDYLZxe8gFKEji1H30r5FaqWzCSU3Gy0boF3dd86nQ5HF02JGGtVqRLGb79JtGoFL74o/DoeeEDINAwdetWgs3Fj8XtxvlatVlHV2rGjZ4mZgLm4uJTIOP9W8qpHBw8ezNChQ1m2bFl+kri45pplPTAOYM5IxpZrQqPTYbcYubDyI0K7TwJV4eSMETdIeebEnCRx7+941+9KaJcXkDQ6Lq76iJi/fkDr5CG8PEyZBeauJSsJWeeIS3BtAHJzbvNSug84OkokJwtZI0kSvxwdxRxdtuxqIqt9e/jzT5g8WQTIb8dLL4G3t8Tq1eWyRyWJRqOhf//+hISE8P7777Nhw4YC69uGDRvy4osvMnz4cN5//30WLlzI6NGjGTduHI0aNSowVlpaGna7vUya5zp5BSFrdSQfWIliNRH5+2uE9X0Lj6otCe36UoH3vTn1MjZTJnqPIKzZqeTEi2SePTcb56CaKFYzIZ2eRefuR+KeRWTHHEfn6lPAU8u7bhckjZac5Mv3/FmLQt26eiIiVH7/vejrnOnTYdUq0RF56EpI7M03xdr3/fdFVfnYsRKnTklUqaLjzJmbJ1v+DZQHx8tBUZQ7MlDQ6XT5FTv3G1NGEqgqAQ8O59K6m+vBxm75EYNfFVxCagsjolwjkkaH3ZxJxtldGOPOIGl0+DbpS0iHZ8hOukRm7NlSueeSqqrJ48iRvQwf3o4xY7R89FHRrhk/XuHChURSUs7i41Mit3EL/r+ravIWDR988AF+fn60bNmSzMxMdu7cicFgoFatWuh0ultm8K/F3d2d8PBwLl++8QWcfGW36Oh4/421FJsFCR0h7Z7m7G8vg3Lr7wyP6q1xCa6NPdeES8UGZF88XOC4NTsFa3YKOldfKg/6GK2zF1kXxMYr6/wBDL7hKLay+WL29hZBtxo1hOnJs8+KDcOrr4rK8utxcICvvhJVNiNGiEBdYYSGiiBfGYrp/OtQVZUzZ85Qv359UlNT6dChA6dOnco/vmnTJs6fP0+NGjVuMcqN5J2fp/9/4sQJpkyZwuTJk9m8efNddXaUBPZcIzkpMbhXeQBT8gWc/MIxJpzDu05HbOYszCmXMfiGkXF2N1HL3sK9iqjKv51B7vWodhuSrCX9zDZcwxphL0Nt4UlJMHq00CA+dgyaNgUfH6HnD6LFdPp00XJ6veergwPMnCmCbDpduUTZvcJms2G1WnnjjTeYPXs2addkMLRaLb169eLDDz/EYrGQm5tL5cqVOXPmDAsWLOCHH37g1KlTyLJM/fr1GTduHAMGDLgjv4LSRusozCkUm4WUI+sIaPkonrXbY0mPw7/FcBy9QoTUmGpHUmQRGLeakTU6wnq8QtTSt+EW1mCyzpGwHq9hyUomcd9igtqOwZKZhCrd3VqtQd1a+IdW4YUXXrircUC8I6Oi4PnnxftzwgSRbG7eHC5fFrIo8+dDtWpC2qiIS6h8hOZqQIncazlX0ev1RERE8MADDzB48GDsdjtNmjRh8+bNN5w3aNAgOnTogIeHBzk5ORw8eJDZs2fTpEkTbDZbmZVrAJBkMe9MSReImPcc4f3exZaTSsSvz2PLuWoCJWkd8Kz5MD4Ne2HwCxfmmhYTXnU6YkmPI27HbKzZyYX+DFtOGorNikuICI5nJd7MY+v+YbcLObJXXhFr0V9/Fe/V69e2mzeLrslPPxVz7+OPbz7mc88JKcK9e02kpZWNbrP/ErIs06RJE9auXUtUVBQHDhzAbrdTtWpVGjdujNFoZOLEiSxcuJAdO3bQqFEj1qxZw5tvvsmhQ4dQVZVatWrx9NNP07dv3zJjYn0tzj4h2MzZmBLzCsVULq//GueAaqgqmOLP4hreBK2jC45eFUg9von43fMxJ50vMI7BrzL+Dw7Hq1Y7/JsPxq/JAHLTY5E0V+NnGkdX/JoPvodPV3w8PDQsWVK8zeKmTeL3WrWuBsdBFG7t3g2dOokK861bVerU0ZcHx8v595Oenk7r1q2LdU3Tpk3R6XSkFsf9sRTROjgiyRp8GvbEkpFA/K5fCz1PVWxEb/yO6iOn49OgB5asZFIOr8acfBG9ZzAe1dvg07AnWoMrxvREEk/vK5X7Lcmqmms5c+Ykb75Zh9atxcbGZBIuwz/9dKM7+PDh0LOnzIYNR0r8Pm7F/2tVTZ42f+PGjenUqROnT59mz549yLJM7969+euvv+jXrx+LFi0q0ngjR45Eq9WyYMGCG465uroCFElLrrRRVRUVcKnYgPC+b3P+jw9RbYVXgLhXa0VYrzdIO7MDjd6JasO/JuvSEZL2L8MYexpVsaP3CsanQQ88arTBlpNG4r4l+DcfhKRxQLVZyqTOm90uJBuOH4eJE0VAbdIk4fr9zTeisubHH0V1TXo6eHnBgAEiEODtLTYY8+YVPna1atCqlQgglLE16b8KSZKoVasWZ86cyU9cXYubmxsajYaRI0fy6quvFtlr48knn2T//v2cPXs1yfrjjz/y5ptvUr9+ffYWR7ujlDClJeDsFYQ55RI6Fy+0jkJwW+voisbBCcWay4WVH4Bix2ZMB8DBIzD/v4uC3iMQmykDuzkHSZKQZG2xA+ylgSyDv7+YmzVrihbR334TcgtZWWIuDh4sZBw++EDIp+zcKa719xfnPvBAufHmvcRut5Obm0vbtm3Zv3//DcdtNhvLli1jy5YtbNq0ieDgYJycnFi0aBGdO3dmzJgxBc4/e/Ysr776Kps2beLo0aP5muNlAfmKJ4CDmx/GuNNknNtNUJsn0Dq5YYw9zfk/PiD99LZ8Mz8Hj0B8GvbEp2Ev3Ko8SOVBH3NxzWcFgnR56D2DCevzJo6+FTkzdzyWjHiC2ozG0TMIc2bhQbr7hbu7aP3+4gv48ksxXzMyxDx96imRPM7DxeXGJNat8PUt9wcoDVRVxdPTE19fX+Li4tBqtYwbN47PP/8cRVHQaDS8+eabPPPMM/j4+LB3716SkpIICAjg/fff54MPPkBV1TIdGAdw8Q1F1mo5v+xtdC7euIU35cIfHxaYc26VmxPW83W0Tu5kRO4jbtssFFsuOhdvvOp0IrD1SFwrNRYyKoXMVVnriCn5Ii4htbFbzORm3KRS4j7h4ADh4To8PSUyM4VEw+OPc1N5hc8+A4NBSK4MGyZ0jhcvFl1a7u5Cz3jcONENYrGo7N59f4sI/svodDpGjx5N8+bNCQsLQ6vVEhERwZw5c3jttdd4+eWXeeklUWHduHFjDucZtFwhPj6ev/76i6pVq7JhwwZCQkLKVIBc62BAvc5c2m7K4OzCl6k+YipuVZqRdfEoHlUfIG7HHOJ2zCl0HFNiJBdWvIclLYaAlo8iaWUMPhVR7TaC2z9Dwt6FhPd7H52zJ5Ikl9lqJY1GxIaKQ54CpMFQ8PM9e0RBybBhIji+fLnElCll+/u6KPz7n6CcYlOhQgWaNm1KeHg4Tk5O2Gw2ZFnmk08+4Z133ilSJdu4ceNISUkpthxLaZHXFpNwpfLFJbQ+SfuXkRG5F1SRbXZw88enodB1s2YnE7V8KoEtHxVfcrLY2dpMWWRdPIjsYMAtrAn+tVqQeGo3qlqyGeuSrKq5lrzqNW9vUVFjMIjM++uvi1bT554TLanjxsGUKSJg17lzZzp37lyi91HOjaSnp2M0Grl48SIbN27koYceonnz5nTs2JEtW7awZcsWJk2axIoVK26rRezq6spzzz3H0qVLC9VR7dmzJ3a7Pb9a9X4iSWCMP4NzUE3cwptT55nfSDmylpRjG7BmJSFrHXANa4xv4z64VKhH2qktXFj5MSoq9Z5dinNgDVz7FRTbzk2LIXbbLFKOrME5uDYBDw5Da3BD5+6Xr6FcFlBV8fxffy029XFx8OSTYiPw6KMi4D1+PHTuLILlb7999dqMDKHvNn361QrWwnj2WWGq+3+acyoxqlSpgsFgYPTo0TcExgEmT55MfHw8gYGBjB49ukgGf7Vr16Zr1643BOPi4+PZs2cPwcHBJXb/d4OrfxhIEhqtnoxzu/Gq3TH/mKqqpBxdi3Kl0jsn5hSWzCS863fFGHvqJiMWRNYZ8KzdnsR/lgrjP1UpE4HxPFQVateGJUvEuzH5urjgokVQoYIwxd28Gd56S5h49u8vri0PjN9bNBoNY8eOLTQwfi1paWn07t2byMhIzp49S1BQEJUqVaJVq1YEBQWhKAqXL19m9+7d+UlVo9FIZGQktWrVKhMt4ootF8Vuw7teF4xxp8m6cBCPaq1I3LfkillYwWSwJT2O2C0zST60mqrDvsA1rDF1xy8mJyECU3wEuWmx2EwZeNXuiFulxih2G+bkC5hTLqLaLOSmRqP3CkHnWHZeKDqdSBa/9JKYb6oq1rLr18Pp01C9ukhq1aghguVDhoiCkKLg6gq9e/9/G1mXFnnmnAA7duzA0dGRXr168eijj7JgwQKWLVtG586dmTp1KtOnTy8gAejl5cXjjz/Oa6+9hkajKVPBtutxC6xMZtQ/5KbFENx+HFZjOmmnt+Ufd6/WivB+75J14SCmpAu4VqyPX7OBKHYbuWnRxPz1A4rNQmi3F6k+chpn5j5TIECuc/ND7x2CfMV4OzPxwr1+xFui0UCfPq44Omp45hmRSP74YxEY9/ERQfJBg8DPT1SRnz8Ps2aJc7ZtE+vj6dPhWi90RRE6x1u3qtSoUV4xXtr88ssv/FyIbuOKFStYv349YWFhNG3atEA35fWcPXuWNm3acPDgQby9vcuUPJnG0QVJ61AgSG5JjyUn7hRO/lVxq9SIzKh9Nw2MX0vstlk4BdVC5+JF/M55+DTogX/zgfg27o3daiLr4mFcKjbAbimbMkAWi0pwcPH86QKvqKwVJjF4+vTV45mZoNNJSBJl0hehqJQvB/6PcHFxYeDAgVSsWJHIyEimTJlCXFwcTk5OdO3alVdeeYXRo0czYsQI1q1bd9Nx6tWrx9ChQ9mxY0eZqdLM+xLKPLeHnMvH8G8xlMqDPsaak4Y1OwVZ64DeMxjFYiLl2Hri/v4FuykTt0qNcQ6qSW5mIno3PxSbmaR/lpJ9+ShulZsT3v99fKs3J/F04a7GZYU8mbDvvxcLk4hrpJ2dnERW7403RHu4qorMfDn3Fo1Gg6OjIzNmzABEgun06dNsutKv9Oqrr7Jt2zYWLlzI0KFDbxogd3NzY8WKFXh7e/POO+8Ues748eM5c+ZMoUG+e42s0eHoXRFVUUg+vBpU9QbjIYCsCweJWvY26ae3AypuVVqgdXLj9OynCHzocRx9KnJ5/dfYjGkY4yLIDwpcaf+WtA541eqAtQzJNUgSjB1bcNE/cyasXSuC5E8/LarW8oiIEC1r/fuLKpoJE269wBg6VATX7fYyW6Twr6Fx48YcOXKk0EpuX19fBg4cyOuvv061atX44osviIyMvOV7MiwsjFWrVnHixAkWLlx4w/GMjAz8/PxK9BnuCEnGwdkDU9J5XCo2RLHm5v+jU+02ZI2W1OMbr56v2kk+tBL/FsOI2/ZzkarHvet3RdY5knxoFZV6v4U5o2xVpSqKmG/Dht18vl2+LJJYmzaJNm+rFf76S0ga1ap1b+/3/53k5GR+++23Ip0bHR3NkiVLaNOmDa1btyYkJIRt27bd9HxJkvjll1+YPHkyHh4eJXTHd05uViqOrqK6NHbHHPxbDCXt9DaiN906OWdJj+Xcby9Tc8xsJI0Gl6CauATVBK6Y8F7xF0g6sALfRr3wazaQhF3zUexWbOYsHFy8KSs7XEkS86xzZxEQB5GkGjlS+APUri3kx5YtE/rhzzxT9OD4I48IXeRySge73Y6iKDg6OvLKK69QqVIlZs6cybBhw2jTpg09evTgzz//vOG61NRUpkyZwrJly9i+fTt+fn5lMkAuax1wdPMh7q/vAXAOqkFW1D+odhGE03uHUqnPW+Smx+FasSHOIXVIP7MdS0YCkqzFpUJdwvu/hyUridhtswhu+wRVh3/NqZkjyVvj+jTsCYqCJMuodhtZcWWjKC2PFi0c8fLS0Lq1xCOPiHfl+vWiOvy558RXyLJlokArTw5p/nwxZydMEH4dcXGwcKHoysrKgn37hFlnTAz888/974D9r3MzL52UlBQCAwOZNm3aLQPjeVy+fJlPP/2UTz75pEwklwEsxkycPAPwrNGW1OMFv2s0OgPm5Iu4hfuRsHdxkcdM+mcJlQd9TG5aDGcXvIDBrwqVB32EqioY48/gUrFBmSoAuZaLF6306aPJ78YqCiNGiGrzv/668ZgsX+0Q8fERwfcysGy4K8qD4/8nuLi48Nhjj2GxWOjatSsbNmwoENj++uuvqVKlCl9++SUrV65k0KBBLF++/IZx6tWrx4YNG0hOTmbfvtKRHLkTLMYMLDnpeDfozoUV75F+ZjtOgdVxr/ogGkc3VJsFc8pF0k5uQbGK4Jmk0eFVtzPZ0cdwrdiQyxun4lH1QaoMnULk76+RGbmXC6s+IrzvO2TFR2FKv7FCtyyQV0kzcCAU8leG0Sg2Cn/8AVu3QtWq9/wWy0Hof8uynN9t0bVrVz799NP84/v27WPAgAH8/vvvHDx4kG+++Yb58+eTc8XO3cPDg8cee4xnn30WLy8vevTowZlCSorHjx9PnTp1mDt37r15sNshSSgWI+lntuNZ62FO/TSa2G0/4RxSF63BFcVmwZx8gdzUq0ZpkqwloMUwcmJPY4w7Q8rRdYT3fYec2JPYTQUD/k4BVbFbTLiFN0V2MGDLKhtGRVarqGK7NjDu4yOkGwwGsYn/8kuRiZ80SWzy8zTFR40Sc9bXF959t6DGG0BwsKgYf/nlq4uS8uD43REaGsr7779f6LEBAwYgSRJz5swhKyuLgIAAVq5cyaxZs8jMzCQsLAxnZ2cyMzPZu3cvjo6OTJgwgaysLLp3715oN5aPj89tO0TuBc7ewcgaLXHbfia8//soFhM5cadwCamDioQEWLMLtnknH1qFb5O+hA/4kHOLJqHk5uASWh+fRr1xDa2P7OCEYjWRE3OS7MvHCWo7Gmt2Khq9My4V6pAZf77wm7lPWCxCmuF2C3qLRczNc+dExVvLluDsfG/usRyB1Wpl9uzZRfbmAPj5558ZNmwYAEFBQVy8WLheb+XKlTEYDERFRfHjjz8yceLE+y7pYEyNwyOkBqgK1YZ9iYOrL5F/30Rj6zpyU6NJO7EJ10pNOD59GJIk4RxSG99GvfGo3hq7OQu/xn2wW834Nu5Lwp5F6N39sWSniOB4Gdrg2myi46pZM8hTc1ywAKKjRcfVwoWQkiLeoTVqiM/efffWY9aqJXSPyyl58qSJjh07RnR0NN26daNXr14kJiaSmZlJp06dGDt2bKGB8WuJioqiW7duHDlyBLvdXuZkVmSt0Bu25qSIP+sM2C1G9J7B+DTqjW+jPoCQRYrZ+iMph9dgzy2o+WPwq0xQm9FU7PaykAl8YDB1nlvMhT8+xJqVjG/jvkgaLZGLXqXaiGl4hdUl4dTOe/qcN0Ojgdq1HZk2TWL/fuGfc+KECH736yfm4PTpV+dsHtWrizm6YIHo1rp8WczdWbOunvPppyLwJstl6IvoP0qVKlWIuLaq7goDBw7Ew8Mjv6irKMyePZsPP/ywxILjR44cYfWqlVgtFn5evLbY10uSjEanR1Vs2K4zstV+2wVkDZIkYc1OKcaoe9BNnItiNWPPzQF2w8sL0Dl5oKoKkvwKtrso1DIazdgVleCQOvj7N77jcQrj+PFcmjVzZNQo0bVxO3Q6Uci1cOGNleOSJLoo82wkhg1TiY4um0mB4lB23jDllCr9+vXDYrHwwAMPFGrgB3Du3Dn69OnDggUL+O2332jVqhX//PMPAM2aNWPcuHEMGTKEpKQkFi5cWCb0jK8lMy4K7+oPEevmjyUzAWPcGYxxN9cj8KrdAZ2TBxHrviS0y0Q8a7Th7PyJhA/8kPD+73Hih0dJP7UVU+sLuAVWLtPB8bfeKjwwfi1JSaLyJjLy3txXOQXJy8zrdDpkWcbNzY24uLgC56xZs4ZWrVrx5ptvMn36dL788ksuXbqERqOhYsWKaLVaVq1axSuvvHLDQkaj0TBx4kQ+/fRTdu3axfnz9z8ApXEwIMka4nf+Ssa53bhXfoCqQ7/g7MIXyTr/T6HXSBodYT1fwymoBucWvAiyBq2TBwBulZqQfenoVdMiSYNPg55knv+H4HZPYzOm52uv3m90OqEnDiKI9swzoiL8Wu/jhASx2GjSRBib5DF7tvj822/h4EGhTa4oIqju5CS0jvMKPcpIcca/Hicnp5t6aAQFBREXF5d//IknnuDPP/9kzJgx2Gw2du7cSUZGBhUqVGDQoEEoisKZM2fo2LHjDXMcoGLFijRr1ozVq1eX6jMVBb2LJzZzNtmXj4CqIOv06N38if7zOwLbjEbWuCDr9AWusRnTifz9NaoM/YIaj/0AsoyjZzDmlEskH16D3ZSJrHfGs8ZDeFRrhWK3Yc81EtbjNRS7tUwlcqxWIZdS1CabyEhRFefhAUFB8MILIgCQJ6FUTumi0Wi4cOFCsa659l14q27Hp59+mpSUFNauXUtERAQvv/zynd5miWFKT8BmziEn5iSuYQ3JiTl5jbHY7Uk6+Afe9bviGlqXrAsHyb54iOyLh3AKqE7lwZ9gSjqPpHHA0SuY4HZPo3XywJwWi9WUTVmKjmu1ULEi/P230P3PW/5s3w7t24uk8yOPCGMwgHfeEX4B770ngubXIsvQs6dISBsM5XrjJY2iKNjtdoYNG0ZGRgbLli3jxIkTfPLJJyxbtoyPP/6Yxx57jNmzZxdpvKNHj7JhwwaCgoKoUKECLi4uZSZArl4xmJe1ov3AnpuDU0B1aj31C3ZzNkgSkiRxbtErZF04UOgYpsRIIpe8QcXuk/Bt2g9rdhoavQvVhn+FzZyNkpsDji6YUy+TenwjXnU6ICQR7v/8rFrVAYNBKlAEUrkyhIcLKaQVKwq/7swZ0akVHy+SXjExBd+f48aJopEDB6B6dUf27s3911ejllVsNhtPPPFEoe+7unXrcu7cuWJJ6KakpHDw4EEeeOCBErm/LVu2kJqWDkBWjrFExswn8y60+zNvXNuTXrKdy7Gx50q8M9FoVDl1ysLHHzuwZ4/Enj03P1eWhR9WQEDhgfSOHcV8f/RRkbhu2FBixYp/vz9A2Xi7lFOqBAUFER4eTq9evW4aGM9DURRGjRpF586d2bdvH2azGa1Wi1arJTk5me3bt/PPP/+UucA4CPduz4q1qTz4U87Ofx6b8eb9Is7BtQnp9BypJzaTm3qZpAMrCO//Ho4+Fbnwx/vUfXYJPg26E79zHkn7l1Oh0/PCWdx6/yv9rsdiEZn5ohAdLQzEhg4tN++715jNZoxGIy1atGDZsmVYLBacnJxuOO/QoUP069ePkJAQhgwZQs2aNalUqRIGg4GAgAB69uyJzWZj9uzZxMbG4ujoSPv27Rk3bhxBQUH8/fffbM5L495n3ALCUaxmUk9sRLGYiFr+DtWGfUnNMT+TdGAFKYdX52frZQcDXnU64tukH3qPIC6v/xKXig0J6/MmDq5Ce6RSn7dQFTsZ53aTdOAPHNz8cHDzRWNwxZQQiaNPRSRN2XitXboEu3YJbf8XXxSb+UmTRGDNaBSLjUcegcceExU2gwbB779fvX7FCqGj+t57osLt/HlRkSPL0KiRuN5qLd/YlxQmkwn3IuhNBQYGsmXLFry8vJg0aRJz5swpEFQPDQ3lqaee4sUXX2TevHn06NHjhsrxp556CqvVyrFjx0r8OYqNBIrFiE+DngDkpkVzduHL2E0ZeDfqhcbBgFt4U5Ku6ewAMMad4cKK9wnv/x7W7BTOLnjxhs1//N9zcQ6uRYXOEzH4haOqKnZzNpJcNuYoiPfg0qXFu2bpUrFhMJvF/IyPh2IUVpVzF6iqWmx5BYdrMpLR0dGFnuPv78/jjz/Ozz//jNlsJjY29q7usyTJSYvDLawRlqxkcuJOF+taY7wwAnZw87/u8zOcW/QK1UdMJWHPIrzrdcanQTcUuw2DXzgZsUUPwN8rtFqoUkUE1jZuhJ9/FkE1R0do1050f3h6Xj1//HhR8fbbb7Bjh1grh4UJo+sKFUTXVXlyueSRZZkhQ4Zw5swZdu3axcaNGxk0aFB+p9TQoUOZM2dOsTqnZs6cydKlSxkwYECRTevvBXaLWXQuVm5GZuQebOYsPCs2IOngH2Sc20vlAR8Qt2P2TQPj+agKF9d+jkuFutituTgaXEj8Zyl+TfuTEXsarZMHisVE0sEV+DTohpNnAMa0QoJz95jKlXVERIhuKhAFHxUrikDazQLj1/Lii9CmDdSpA7Gx0KGDmLe9e4vOyuXLJXbskPD11ZCYeBN3z3LuCq1WyxNPPMHHH398Q4GIwWDAaCx+QDqv47kkePjhh/Mrx52c7kwDS6PTC5NMQLHmolhyUBU7kqxF6+yJardhMxav6zjvOrs56+qHkoTOxQdQURUFu+3OYmV5leNBQVXu6PrbsW+fiRo1HNi8WXh5zJ0r9qXXUru2MMzt3l3sVa/frmg0ws/u8GFRwLVrl0pyssLFi+WV4+X8C2jatCmXLl1izZo1RTrfZDLx448/Mn78eLZv347VaiU1NZXz58+XGY3xwvCu3ABJktF7BFL9sRnEbZtF2ult+dpvIL7MfOp3J6Dlo+TEneLims8ASD+7E7vFhGtYYxL3/U7q8U34NOxJ/K4F5MSeQpJltHonLGUsOG61CrOw9PSiXzNjhtCPKuf+MGbMGN58802OHTtGp06dmDZt2g3n6HQ6HnroIfr06UPLli0LHIuOjqZly5YMGDAg/zP7FW2N48eP52uYlwUcnN3JiTl51czv8lFys5JAseP/wBACW43AkpUEioLOxRtJoyXj7E4S9y4muN1YJI2O1OMbSTm6Pt+806ViA3wb96Xq0M9RFTuqoqDaLCQfWklYz9dwsJeNBXRMjNBcnDhR6C5OnVpQtuHyZfjnH5g8WbSrzZ8v2tPMZhEEaN1aaDGuWyfG2br16rUajViwvP46NG1aHiAvCaKjo+nfvz+fX1vCf82xoKAgnn32Wd544w2cnZ1ZvHgxUVFRZFwn2nfp0iUmT57M+vXrWb9+PbNnz2bo0KH5x1u0aMELL7xATExMsaQhSgvFZkOjd8arbicUWy7nfpuE3SSeKfXoeoLaPoFvoz4k7b+uNUnSENLxGSwZ8ZyZ91z+NdeTE3OSiHnPUXX4VzgFVEGxW1HKSHdHHoWZDN2KvPeti4v475kzRYKrfftyY7/SRlEUWrduzTd5bTlFoGXLliiKwq5duwoNjvv6+rJmzRpMJhNffvklIIICZQXVfqXrzNnzastQkS9WhKG8fGMU2BQfQdrJv/Cq3Z64Hb8Q2u1FJElClWQy48pmi2FeXuThh0XVWh42241zT5ZFp9bQoaKyTZJEQDzvfVkeGC957HY7e/fuZfHixfz+++9ER0czePDg/EC4JEn4+/tz+nTxkjx5esdxcXGsWrWK7t27lxENchVjeiLe9bqSuG8J7pUfIPnQai6v/4rQri8BCsmHVhVtKMVO0sGVBLd9AiQJ1WYhcd8SfJv2I+30dkDMWcVmQWdwhTIQHHd2lomNvWrul5ws5mFRC7ZUVfhk/fSTWM/6+gpvrEcfhV9/FUksAIOhvC2rNHF2dmbNmjV07tw536vKwcGB4OBggoODxXuhGPGfkJCQEru3+vXrE+DpjMaaxejB3e9ojOCGHdE7e2KMP4OTf1UkjZac2NPYrSacg2ohSRLHvul3g+TRzdAY3Kn77GJit8wk8Z8lBY5VHvgRjn6VkXUGLu0vvgwMwKxFa9hzLAqTtXR8ifz9teh0EsuWib3pRx+J4qxLl0CvF+/XVq2EF0Dv3sIv4Fq0WpGcfvBBkczauVMlLAwWL87+T3R4lG+pb8P8+fPp1q0byclly0CqOFSqVIkFCxbc1HChMObPn4/BYCA6Opr9+/cTFRVVpgPjDi6euPlX4tK6LzAmnEXSaAnrPZk6z/5OpT5vEdp9EpUHfUyd8b8T0PJRko+s5dzCSai2K8FuxY7dnIXGUQiIpp7YhIObH44+oWAXWbCy5Lx8LYXIhN2AJEGXLsIUZfZsUUFTBuIy/1eEh4fj5OSEh4cHEyZM4IcffqBHjx5UrFixwHne3t5s3bqV+fPnk5uby4ABA6hSpQqVK1emZ8+eHD58GH9/f06dOkX37t1p0KAB8+bNQ6PREBAQcJ+ernAkSb46x66QvH8ZDu7+nPppNJfWfUnq8Y2kndpCzNYfOT5tCPG75lOh07OYEs5xfOogLq//EmPsSaxZSeSmxZByeA2nZ43hwh8fgqqSHXsSrcEN/+aDyc1IQOOgv8nd3Ft8fERGfsIE+O67m+sZu7jAhQti0/7KK6L6bdQoIcVitwtTouslH+x2WLlSBNCXLLmqO17OnXPgwAGaN29Ow4YNC3zu6OhIrSt9jd9++y1paWkcPXqUFi1asHz5ci5cuMCkSZOQr8tQ7Nixg7FjxzJkyBDq1KmDLMsMGjSIP//8E41GU2a6O0wZCWj0zjh6VSD50OoCBpspR9cBKo4+FfFp1KvAde5VW+DoHcr5Pz64aWA8D8VqImrZWyDJ6N18Mabe/039tVxbbVoU8nwa//pLzN3Tp8HVtTwwfi/Q6XT06dOHwMDAIl8zfvx4VFVlx44dBeZplSpV+PDDDzl06BDBwcF069YtXwapY8eOZWbNq9E5iISSBI4+FW9/wTXovUKQJBnbTfRUkw7+gd4zCJsxDcVixG4xYclJx16GjK0L4/q5dqu5p9NdlWzQaMrlj0oTjUbDd999R/369enXrx/ffvttgc4pVVXz9ciLOy6I4PvUqVPLSGBcYEyJRtY5EtZrMqpiI/qKOadTYDUyzu0pkml1HilH1yNptKh2G971uxG/Z8EN1amqYkMqIxURiqIWMJWvW1eYahZDhYOFC0Vyy2QSAbn69UVgHK4mw8rXuKWLVqulSZMm/PPPPzzyyCM0bNiQM2fO0KdPH3x9fel4bSbyNjRq1Ijq1auX4t0WD1nrgN7ZA8VmwZqdiqTRYs1JwzmoBs4B1bCbs5A0WrzqdUbWGdB7heDoUxGN4eadpN71ugCQcq1Z/RXsFiOyRpfvR1DW0OslatcW++Thw0WH8rRpYu4995yQAG3WTJh1fv897N9/9VqDAR5/XMgdDRkCFy6ozJgBAQEKixdnkpZWzOR9GaV8KX8bhg8fzvDhwwkJCSEmJuZ+384d4ejoSEJC8fSyExMT86/9N+AWWAVLZhKpxzfiWaMNJlMmZ+dPxKdhT5z8q+Cgc8Rmzib2rxmkHNtQsA3mCrLOgGIRizhbjmgt0ji6oLuid2wvY1XjIAJut6t+adNGZOWrVBHGfqtXQ26uyMj37y+yhFBefVraNGrUiOPHj7Nq1So+/PBDnnvuOTIzM/niiy8YOHAgqqri7OzMhg0bCAkJoUWLFuy5TgwsKiqK1atXU6dOHVatWsVXX33Fgw8+yKhRo3BwcGDQoEEEBweXme8qxW5F51Yw851ydB2BrUcR0n4sUcveBrXgy7Tq0CmYEqM49/urqLdoSUs9sRFVtVOpz1sA6L0qkH5mBx7VW5X8g9wB4eGi/Xvq1JufU6MGbNggdMQXLxZBugYNwM1NeATExorK8J07RfXb9W2qVquosKldWxgclQfn7pyIiAhSU1OZMWMGbdq0wWQy4ebmxrp162jQoAHffPMNP/zwA5HXmDY0aNCAcePG8dFHH9GiRQvee+89DAYDOTk5nD17lgULFvDpp5/y008/5eulxsfHk5aWVmbmaG5mCnabFY1WR/KhlQWO2U2ZJOyaT2Drx6jQaQIAyQfFOb6N+5AdfRxTwtki/RxrZiIZZ3fhFt6MnJSy8ewg5lD//kKmoagMGiTeoUeOCKkyg0G0g+eNV4biNv9Z3nvvPZ544onbnte/f38aNGiA3W7ntdde4/HHH8doNOLj44Orq2v+efHx8fTt25ekpCTi4uJ47rnnUBSlxEzF7gZVsaNYzcgOBlwrNcHBPQBLRnyRrvVp2AObMYPM84XLOhhjT6HYLDi4+5F18RCO3hVxcPcXiW31v7HRLefeEhERwV9//YXNZmPevILmsZ6enlgsFho1alSsMfOS1tHR0WWuWM2UngSqinNgdZKPrhUa4Qj/HEtmYrHGspsyUOxWrDmp6D0C0Tl7k3p8I+7hzbiM2JPKOscysx9NTLTTqJGOxo1FwMzTE27id3xTTCbRvRUQIBpjQkNFBSuIgB1ARkZ5dLy00Wq1VK5cmXnz5mG1Wjl9+jQ1a9Zk4cKFjB8//rbmuXmMHz8eq9VaZhJYGgdHVFXBlHAWt8rNUFWV7EtHSTq4nOyLhwGoMnQKQW1GE/zw08jaq/edef4AyQdXkB6xC1Txb1Dr7Ilf0wGkndpaaGGI1skDyoi85/W4usr07u2Cs7N85c9irr3xhpBWWbdOzL/160Vs6dVX4c03xTpXUYTPjqNjXgeWioODjVWrcomKsv4nKsbzKJt/e+WUKBaLBWdn52Jdk3d+WWj7vi2ShKtfKPF//wKqHWP8GfyaD8G3ST80OkfMKRcxJkSSdmIzirXwahjnkLpoDa4Y40UZtsZRbJoUixnvB3tgzkzGZi45Da2SQpZF8Oxm9Ogh9FF37hSaUXv3Fjw+frzIAn7yifgiLAP7wP8svr6+zJ07l2XLlvH8888zdepUjh8/Tt++fZk7dy5PPPEEb775JtWrV6dly5YcPXr0pmMdP36c9u3bs2fPHj777DNGjx7NpEmTGDx4MB07dmTOnDn37sFuQU5KDAG1WuHoWwlzkjBFs5uzOf/H+1Qe8AHh/d7h4tov8hcYrmGNcPSpSMS8524ZGM8j7eRf+Dbpj3NQDRL/WYLBvzJIZSPLI0mitfRmCwZ/f7EAMZshO1vMz5Mnr5pxenmJoF3FisJQbNEiEYDbsaPgOBaL0Hcs1zy+OxRFYfHixYwcOZJNmzYxZMgQfv75Z2rWrEnbtm3zzamv5fDhw7zzzjs4OzszcOBA+vTpk38sMzOTuXPnsmLFCsaMGYNGo+G3335jyJAhLC2uyHUponfzRqPVodht5KbdGLSO2zEHrbM3vo16EtrlBQJajiD9zHbcKjXh0vqvivWzUo/9iUe1Vmh0+jJTmarTCZmxSZOKZspZubKQc3jqKSGnci0tWghj3QceKH+XliYajYYxY8aQkpLCa6+9dtMK7+7duzN//nySk5PJzc0lLS2NihUr4uPjw5o1a5g/fz6JiYm4uLjQrVs3XnrpJV5//XVmz559QwfJ/cRizMTFtwKy1gFVsePXbCDRG7+77XUagzve9bqScnhNAXnB61FsFiSNA4rVLILwWgc0Do7YckvY/Kyc/wvyNMEvX75MVlbBQqQlS5agqirDhg3j5ZdfzpdwuB1jx47lzz//JCYmpthV56WNJMvCeFPWknnu6iZLseYia4vZySjJSLKG7Ojj6D0C0eidyb54GJ8G3ZG0erzrdgEVjKllwxPhwAEzdevqGTdOYvRokTS+E0UqBwfxa9cu8edTp0TV6qhRKlFRNrKy/kORtztk5syZZGcXTfbjbhg9ejSxsbG0bt2ajIwMPvvsMxYsWMCzzz7Ld9/d+r0zdOhQRo0aRWZmJjNmzCgRf7pt27YhW7OpWSnorsaR9c5IksT5ZW+RfkZspCRZS2j3l3Gr1ITcjHiS9i/HGHcGVbGj9wrGp0EPwvu/T07saSIXv44kSVQe/ClIErHbfrrhZ2idvXCt2BAV4UdQltDrJXr1ciE7W2bwYInNm4Ux9bx5EBICW7aIavHq1YXHFYguycGDhVeHViuC6UOHgtms4u0Nbm4aUlPt/6nAOJQHx/8vSEhIoHv37nz44YdFvqZbt27YbDaSku7CyfceodHqkTU6TAnn8GnUG6+6XdA4OOJepQXW7GRknSM+DXsR0n4sKUfXE7v95/zMfh6+TfpizU4hqM1onIZ8hiRrUBWFCp2fxzm4FkkRNwZGygJardAerlBBaBhfS9WqIqC2erX4crMV4pGQkQFffSXaZjZtEgG9Mrbu/M+g0+lwcHBg7dq1HDt2jHr16lG1alVkWWbYsGF0794dvV7PDz/8cMvAeB5RUVF8+eWXvPXWW7z00kvExMSwcuVKunbteg+epmjkpMRgM+fg16Qfl9Z9kf955rndRC55g0p93qLus4tJO7WV9NNb8W06AFPSebIv3/7580g6sByXkDfwqtMRnYsXdmvZMAuWZRH8vhmvvALu7iIbHxcn9MW3bSt4zhtvCKOxqVPB2VlsFurUuXGsBQvg22/vbFNSzlXi4uKYN28egwcP5vz582g0Gjp16lRoYBygZ8+eLFy4EEVR+PHHH/ntt99ITk7G1dWVnj178sQTT+Dr64ssy6SnpzNgwAAOHjxYNow4r+AWUAWrMQOt/sYEusbgjm/j3rhXeSD/MwdXH/ya9EO123AOrk3aic1F1mm0XunIkrW6MhMcB7EpnzEDhg27eTIr77yffhKmY7/8cuPx3buFVuPy5dC5c3knR2nzyiuv0LNnT7799lvmz59PdnY2sizTuXNnxo8fT5cuXYiIiODBBx9k4MCBTJs2jX/++YchQ4ZwKa808QqrV6/m1Vdf5fPPP+epp566I+mH0iIr4TxeYXWx5xqRdHr8mvbHnHzhllrGGr0LlQd+iKrYSdy/7JbnafRO2E2Z6Fy8rxaQlJEkcx6KItanOTmiQtVsFt1ZVauWd2uUNSpWrMjPP/9Mh7x2miu0atWKdu3a8eijj/Lzzz8zceJE3n333duO16FDB1q0aJGffA4NDS2N275j3AIro9qtSFoHFGsurpWa4tu0H06B1dA6eyD0uIsWPXIJrY8kyWRfPIx3nY4oFhPKlcSWRmfAt0lfQC0zleM5OSppaXYee0zDH39InDwpuhkdHEThRlFo1OiqVNmbbwqDv0cegS++EHKmu3f/C4r07gHZ2dlcunSJ9OKYjBWT2rVr4+7uTvfu3fP9dBYuXMjrr7/Ot99+S8WKFfn8889vUCPw9PTk2Wef5e2332b58uV06NCBypUrl4h5blpaGm76O9fCyltrOvmFc3Ht5/mBcSSZsD5v4l6lBRdWfkTq8Y1cO09zoo+RenQ9zsG1qNTvPWo98TPIWhSLiXO/vYy1kK4QnwZCE12SJKymGxUK7if16+txcZFp2VLi7FnRtTxunNg/zp0r1qsvvCCKsfJIT7+x8GruXNiyReKLL0T8qV8/VxYvziIz87/TaVa+dP8/4MCBAwwZMoQGDRpw+PDhIl0zfvx4Tp48WaKOw6XGle9Mnyb9cA9vSurxjVz44z1yYk7mn6Jz88OnQQ/8mvbHtVITzs6fmC+d4td8MJ41HkKStRgTznH5z29RLEa0Bnc863REkmQ8KtTAnJmC1VS0Kod7iaKIINpTTxX8/PnnRfB7+PDCA+PXsmMHvPaaqHorp3QwmUx07twZi8XCJ598wu+//87333/PTz/9RL9+/Rg6dCjVq1fnhx9+KPKYs2bN4t1332XkyJF8/fXX/Pnnn/Tu3Rs3N7ciV+SUKqqKKSsFn4Y9ybp0hLQTV81CM8/t5sT0IXjX64r/g8PxrtsJxW4l6Z+bb+QLIzNqHyCCdqpiJzv50m2uuHfczOTdyUnoiquqaGlr21bM1cL46y+hP759u8joP/jg1eqaa39ObKwIFpTrqd4dMTExTJ06lccff5z4+Hg2FqK3Ua1aNT7++GP69OnDihUreOyxx26okNu3bx/vvfceH3zwAZMmTSIxMRE3N7cbzrvfODi5Yoo/i1t4E/TeoeSmiPnj6FORyoM/RWtwJ/X4RpIPrcScfBGQMPiFi0R07XY4B9Xk3KJXsKTfvpItr4pOLa6pYCmj0YgEsiwLvcXCuvZDQkSFzQMPiA4O802KgqxWMVZ09NUNfzmlR40aNZg+fTo//PADZrMZBwcHZFkmKiqKsWPHcuHCBcaPH8+ECRM4dOgQ7du3x2QqPDGTmZnJU089hd1u56nrF1T3EcVmITs5GhefYFSbBVXrQGjXF3EOrkPiP0sKSBtJWgc8a7Yj4MFhaJ08xCY+6+ZFLl71OoOiYEqMxKVCPVJPbMalQj2UMhJ8A7F+jY6GDz8U+sTXbkseeED4egwefN9ur5xrsFqtLF26lKNHjzJq1Ci8vb1JuRJtee+994iMjGT+/PlUrVqVd955h9jYWH788cebjvfAAw+wbNkybDZb/v519OjR2Gw2tGUk++jkGYg9NwdZ60Bo14noPYMxJZ0n6Z9l+DUbgGulJmSdL1qBlW/jvlgyEtF7BGA3Z2NOuYhLaD1UxU5wh3E4uAcgyRq0eqcy09mxaZORwYNdWbpU5eOPJXx8hEH1b78V7fqxY8X8DgkRZpyrV4tfgYGweLFKs2YGLl+2kZhYLq2Snp7OhQsX0OuL2ZFQRJ544gmOHj3Kzp078z/z9vamatWqrFmzhrFjx/Lcc8+xbNkyDh8+jKqq1KpVi4EDByLLMp9++imTJ0/m008/5cknn2T69Ol3VT2em5srJA71Tnc8hmKzgiphyUom5cjViiWfhj3wqN6aqCVvkHF2102vz4k5ydlfn6f6qB+wZiZxduGL+fGja3EKrEFAS+H8rKoqOcmXCxnt/iBJUKuWnvnz4eyV5cKvv4o1bWKi6FQGUdBlMon37PTpIhF9Pbt3i4D6oEHQvLnE7t3QoYMTy5aVflfDvaJsvFnKKVXytFS/+eYbOnbseNsvqueee46qVavy888/36M7vDvsVguqouBWqTEXVn54JftXEGtmInHbfybtxCaqPvINtZ6YTdTSt3Cp2IDA1iPJunCQy+u/uqGtPPGfJTgFVKdiz1cJrt+OmCN/lbkAuVYLTz4JMTHw3nviMxcX0Sr+1Vc338Rfz6xZYvPxL5GZ/9dx6dIlmjRpwttvv03fvn3R6XT88MMPnDp1imPHjuHi4oIsy5w7d67IYyYlJXHgwAHq168PiAC8LMsMHTqUWbNmYbtdVuQe4OjihaoohPWajKN3KEn7l+UbFNmMGSTs+Y20U9uoPPgT9J5BKLbitaLl+QTkpsfh4OaPNafszE9/f7Hov57evYWuuCyLzf3NAuN5pKWJzf+JE/Duu0LW4XrKSJHjfwKNRoOfnx9vvfVWgc/DwsKYOXMmHTt2xGq1snbtWgYOHHhTs2ur1corr7yCLMu88MILLFq0iMGDB3Px4kWiiuNYVYrIsgZT8nlcKjbAt2EvojdNRefqS5WhU7Cbsjj5y7M3BNeMcae5tOY08Tt/ocrgz6g6dApnfnkGW07aLX+WW3hTVMWOg7M7NnPZWkhLkpAx6ttXdFwtXy5kVry9hfFQz55iHnboIGTKbkVOjpBceeGF8urx0uba6m5HR0cuXbrEjBkzMJlMvPTSS1StWpXMzEzc3Nxo167dTQPj1zJx4kSGDh2KRxnKbliNmUhyKLJGh2LLRZI1eFRvhXe9zpgSI8lNj0PSOOASUhuN3pmMyL1ELnkjP9lVKLIG30a9STuzHY/qD6FYzTj6VsScmSwMQMsAVqvQ9u/YUVSxXc+ePWJ+7twpuqfKub/odDpmzpzJ0aNH+eKLLxg1ahRffPEFEydOpE2bNvkySG+//TZeXl7MnDmTHj16MG3aNDZu3JgvkVSvXj3GjRvHyJEj0Wq12O12Hn/8cT799FPGjh1bZgLjIAz/NFqdkCfSOhAx77n87keX0PoEtRlNxOWjN5jTX49zhbp4VGuJJGvwbdqflCPrUKxmvOt1xWbMwKt2e6zGdBxcvNE6upSZ4Hhysh2NRkJRROW3xSLWqevW3X5t27ChKOBau1YEx69tqouLg44dJbZuVena1YVffsn4z8k33Al6vZ4WLVqUytj16tXjs88+K/DZyJEjUVWVkSNHYrfbGTFiBI899hjt27dHkiTi4uJ49913+fnnn/PVBmbMmMHLL7/M448/zpEjR+74fnbv3n3XRZqSJCPJEskH/8jXDQfwbdKP9NPbbxkYzyM3LYb4HXMJavcUN3SBSBo8azxEaPdJqIr9ivyZjazEYorvlyKhoVo8PGSmTxd/bt9edCQbjbBkiQiUJySIwq0uXeDpp4Xk7gcfiDl9PdOniwKvJk3gtdckFi3S4e0tk5JStgpf7pSy83YpBxBZst27d5f4uOnp6Xz88cesXLmSIUOGFNqWI0kSzz//PF988QWLFy8ukXaYW5GbWzKVKRqdcASO2z670MD4tZhTLnFu0SvUfHwmVR/5ClTIjNxH5JLJoBSelTbGnyHil2epNuI7Amq35PL+9RS1Re5e8u670KkTfPONqLRxdYXiSE9nZAh98kGDyltUS4O8F/xPP/3Ejh07sFgsnDp1Kv+4k5PTHS0CcnJycHISWfXg4GBycnIIDAykdu3ad7UoKQmcPAPROjqj5OYg650IePAR/B8YSnrEDrFpl2ScAqriVrn5FX02CZ2zV7F+hs5FnJ998RBedTtTVuamzSZaQwvLvFeqJLQZt2+HiIiijXfyJGzdKgw7r8fHR2wsyqvGSwZXV1dkWS4gf1KjRg22bt1KdnY2M2fOZMyYMYwfP/6mgfFreeONNxg9ejTx8fHs2bOHhx56qMwEx+12KzpnT0yJ5/Bu0I2EPb8R3O5pUFUurv0crcENSdZgyUjg+rllSY/j3MKXqP74DAJbj+Ly+i9v+nMkrQPe9bthz83B1S8MYxky5cwjz3dj8GAxd/PIzhbVMl27iv8uCnPmCB3zckqXvPmXFyQPDQ3lnXfeQaPRsHz5ckaOHJlvlFvU92Fubi4zZszgxRdfLDNBOPegKkiSTOyOOfg3H0za6W2Yky4Q2HqkkFuRdShWE6bEKJyDa5F8aNWtA+OSTMWuL+HgEUjiP0up0PFZUk/+hXfdTmQnlZ2KN5NJzLvbKQl89x3UrAlPPFGekLrfnDp1ipSUFBYtWsT48eNp0qQJg6+U9l/73nv22WfZu3cvL774Ihs2bCA5OZmkpCRcXFyoUKECMTEx/PLLLzz55JPYbDbq1avHokWLcHd3v1+PdhMUkDXYTZmcmftMAbmFS2unUPWRr6k88COilr11g6RnHi6h9Qkf8CHZl46SdfkIQa0fQ1VVXEIbYPALR7XbMadcxuAbBlzROS8j5N3KV1+J96a/v+hi3LBB+F7dzD+1SRNYs0ZUi1esKILpeVrHeZhMMHasxIEDEpUq6YiKKhtJu/8qjo6OpKUVLHKoV68eBw4cyO8A+fbbb/n2NpnIyMhIoqKi8PPzK7V7LSoaB0ckWYMx7kz+Zy6h9TH4hHF5w9dFHifl2HqCHn6SygM+JOngSriiS+7doAcOrj4odts1XlkSqv3+F6fl4eYmY7OpHDok0aqVmHdbtgj98OvfrYcPw2efwcsvCz86uDFAvn+/mNf168OUKZCYqFK3rp6tW8uOXOLdUL6EKEN4eHgQFhZWKmOnpqby9ddfM378eGJiYpg3bx7z5s0jPj4eJycnOnfuzNixYwkPD2ft2rWsXbuWwMDAUrmXaymJAIFbgNB7u5Wu4rWY4iPIiNyHwS8cB1cf0k9vu2lgPA97bjYXVn1Mzcdn4uQdVCY39gDNm8Pvv4vAG9yoQ347Ll26teZqOXeOTqcjPj4eu91OeHj4DUG1tLQ0/P39iz2uv79//jwaMWIEq1atwtPTk8aNG9//4LhPBVAVsmNO4BJSB43emZSj63Dyr4JLhbqgKFgyE7m0dgqqohLW8xU8arTl8sbvimTICeBVpyOqYicn4Rze9buhM7iV8lMVDa0WRo8Wi4rrA2ouLkIffN684o05d64w7HRxKTjm44+XV46XJq6urqxbt47ExETatWvH+vXrWbNmDRcvFq0yJDc3l5kzZzJ+/HhGjx7Nb7/9hr+//w26jfcDU1oCHtVaE79nAU5+Vag6/Gv0noEoVjM1Hvs+/7zctBiSDq4k5ej6fANdAEtmAkn7l+P/wBBitsy46eY/sNVINI6uZF86is4zuNSf627ISw5brZCUJObyn38WPTAOhXeMlFNyqKqKJEmcPn2ab775hi1btmA2m6lQoQKjRo1i2LBhtG3bli+//JIWLVrw9ttvF2v8ZcuW8corr5TS3RcPR3c/NDpHEvctQePghKx1wL3qg3jWaAOASwWhR556/E/idswlsOUjhPd7l/hdv5J0YMUNHR1OAdUJfGgUbuFNSTn+JyEdniE7+rgwElPs6Jxc78dj3oDNJjT+bxZcu54vvhASDeXcGXdr+FepUiX69u2bn6h6//33GTRoEAMGDCAuLo7AwEB011Xe/Prrr/z666+0aNGCjh074u7uTk5ODocOHWLVqlW0aNGCJ598EkdHR9q1a4ezszMajYZVq1Zx9uzZwm6j2Ny14Z8qIWu0XNj47Q06xMb4MyTuW0LAg8OoO/53kg+vJuXIOiwZ8UgaLS4hdfFt0he38GaYUy4TufQN8Q5VFYIeehyv2u2xW8xIEjh4BGK3mNA4GMqM5jiIeWq1qsTHS4SEQJ8+Yp1avz5ERQl/jp9+gnPnxLu0WTOhddyjB+zbJ9bB06eL7qzCOHgQ/vlHpU4dfXlwvJQxm803dEwZDAaMN9OIvAVGo/GG+X5fuFI1pF4T53EOqoXdnE32xcNFHsZuzibr4iFcKzYkrOer4jOLEVNCFIrNgt4jAEmX13qv4uQZiDEtrqSe4q6QZdHZodWKGNHu3dCrl1jjFoaiwKefit8/+0zIHO3dW/CcnByxj7VaYe1aiQ4d/jsh5f/Ok/zLcXFxITQ0tNSNRn799Vfq1q3LkCFDCmgqWq1WIiIiWLhwIXFxcdStW7dU7yOPtLQ0ZOvdtVe7+IaSemLTTTflhZF8aCWVB3xARuRegh5+ktQTm1Bv00Zqio8gJ/YU7oGVy2xwPK9iJk+OTK+/vd74tZRLqpQekiShKAoNGzbMr0YLCwvjwoULAPz5559MnjyZhx9+mC1bthRpzHr16lG3bl3eeecdOnToQPXq1XniiSfw8fFh2bJleHp63lAFcC9xcBZVp1kXDuIW3hS7xYQlM4n009tw9K2ERu+M3jMYv+aDMPiEAaA1uOJVqz0pR9cB4OhbCfeqD6J1dEWxWzEnXSD9zA5UuwVJ1uLTqDeKLRdZoxMO467FqzwvTZycRLvagAEF52He/jOumOumvPM9PK6O4eUl/AXKKTmys7NRFIW6deuyZ88eRowYQUhICFWrViUlJYWGDRsyc+bMYo25evVqXnnlFUaPHk1SUhJ16tQpE8HxzPhIPCvWxqtme+w2C3qvIBRrLilH15Nxdhf2PP+NWg8T1GY0gS0fJWrZ22RduNoSkXJ4NYGtRuBVuz3JB1cW/AGSTGDrkQQ8OBxFsSPrDfmt82UdnQ78/MQGobjvxlKSBC0HUS1ut9sZPXo0867LMF6+fJldu3bx6quvsmTJEjZs2ICzs3Ox34OlaXpWXFz9KoKqoCo2/B8YQm5aLEkHlov5mZuD1uCGZ612eDfogU/Dnlxa9wW56XH4Nx+Mf4thZJzdhSU9HkmjwTm4Ns5BNbFbzSh2K951u5AdfRyDbyUUuxVJ1qB39kDn5IbVeH8lyrRaIU9UVCIjYfNm4eGh0ZTabf1nuVvDv7S0NPr27UvDhg2JjY3FwcEBg8HA5MmT+fDDD0lJSaFly5YsXLjwhmt3795daNf0gw8+iMlkwmAwoNPpOHToEA0bNsRkMhXJuL6o9303hn+yzgGrMf2q0d81eNRoQ2CrR0k7tRVLZiLedbvg37ygQH5O7Gkyzu7CveqD+NTvRuK+xcTvnI9vo95IWj2nfnqcCp2fxzW0AZJGh91ixpJdcut6szmbrVun3dUYzZoN4LHHqjJlioYlS+DCBWEwn5ws5Mqeeabg+YcPi0SWqorA+E8/iQDczVi2TOL115W7vk+zORso/3K4GTExMQwYMIAPP/ww/7O0tDRq1apVrHEkScLPz4/Tp0+X9C0WG7slF1VV0XuF5K9bZQcDdkvxA/723ByMcWc4O38iyJqrUkmSTIVOz+LbuC92ixmNgyOeobXKTHA8J0fBwUHi2DGh5d+5880D49cyZYqQWBk3rmBwXKcTHct5r4qsLNBq/zuty+XB8TLCk08+eV9/vk6no3bt2tSuXfue/+yES+fAeucmZVq9E6ak4lWgm5NE71bqyb9wr9wcj+oPkXZy822vSz2xiZD24+7oPu8HbduK9pmi0qFDeUtqaZGdnY2/v39+m1lOTg5PPvkkr7/+OgDbt2/nxIkTjB8/vsjB8WeeeQar1UqLFi0YMmQIe/bsYceOHfnz2MXF5b4GxzVaIXmUfno7we2ewpaTRsCDw5C1DqIVXKtDkjVknNtD3I452HLSCWzzOCEdnkHS6fGq1Q6XCvWwm7Ox5qQia/U4uPtjM2aQfGQtDq6+6Fy8yIzch2fNtqiqgqObDxq9E/YyoMeo0YhqmNWrYeJEyFPR+eMPoe/vVEyPGYNB/J4nm+vlJbQa/fzKK8dLEqPRSEREBOPGjePHH39k3LhxLF++nAsXLuDk5IQsy8WusMsz4mzatCkajabM6BnndVo4+ojEfNKhVcRsmo5iLdgemRm5h5jN06nY4zUqD/6Ec79NIvviIQCs2SnkpsWKQNvlY9hNmWj0zrhXa4VPo17o3QMAsJuyMPhWIjvp31NWrdWC3S7ejZMnF/26hx8uvXv6f0eWZYYNG3ZL6b+UlBS6devGtm3bqFevHl5exUuaenp63u1tlhgGD39MyRdFd8bWH0nYtYBrJY5sxnTidswhbuc8KnR6nordJ6FYzMhXqtjcqzyIYjVhM2VhTj4v9P5VlayLh/Cs8RAuwbVBAkvieXLTYnEOrI6TZyAZ9zk4rihFlx3L4+RJaN26PDh+p9yN4Z+rqys2m42xY8fmm/fFx8ezatUqPvzwQ1atWsVjjz3Gq6++WqT3pyzLPP3006xfv56+ffvy0Ucf8dlnn/Hnn3/SpUsX5s+fj7mopko3oSQM/yRJJv3Ulhs6kDV6Fyr2eJXUE5u58McHgErstp9wqVAfrcENVbGRmxqDKVH4DAU9/CTB7ceScXaX6NQ6sIKAB4djM2UQtfQtqo+chtbgjsbRBZAoCQlBvd5KSIgGuDs5hL17dzNxYg3athXyf/v3C+3iP/4ABwexBv7nH2H+l5AAAQHw3HNQpw78+OPVjg9ZFuvc6xUmMzPBYNDh43O3sg0a3NzKF8s3IzIyku7du9OsWTP27dsHwPr163nqqado2LAhhw4dKtI4HTt2xM/Pj1WrVpXm7RYJVbGhKnZ8G/UWuuOIILdG7wKSDGrRdbK1BneQJBw8AslNvaY1X1W4vOEbNAZ3PKq1xpR0AX0Z6pCUJLDbVQICJP7+u6C2/61QVfj+e6E9PnEipF7xIe3TB5ydhXQSgK8vWK3/Db1xKA+Ol/N/Sl7lmjUzkcwLB/Bp0L1IwXFbTjqSrEGSNQVadMoiNhuMH1/04PgDD8A9ahj4v+TkyZN07Ngx30hl2bJlPPXUU0yZMoXUK2+cL7/8klmzZjFmzBh++umnW47Xt29fxowZw19//cVLL71EVlYWTZs2Ba7qrxZFD7k0ydNcU2xmbKZMdG5+pJ3YROaFA4R2eQFjXAQX/ngfS0Z8/jWRv79GrSfnEtp5AlmXjhC17G3SI/7O33jovULwadgL38Z9kDQ6QMK5Qj20eidURUGSJHSOzmUiOA5isV+/vti0b9ki3MDNZvGrU6dbV8tcT+fOEBsrAnavvy6y+V5eogJAksoDAiXJgQMHGD58OKNHj6ZWrVq88MILgAicW61WfH19izVeXlJsyJAhLFiwgAoVKpT4Pd8Jrn4VsWQm4+DmQ/Kh1bfUDbcZM4hcMpkqgz4hvO87HJs6KL9yRrHlYgioSq0nZuefr1hzST25maiDK6k56gdspgy0Tu5kxUeW+nOVJBqNaAVv2BCKuDfk2WfFO7g82Vyy2O129u3bVyRPHJPJxKRJk9iyZQujRo1iypQpRf45AwcOxGazlQnNca3egM6/MnE75pCwa/7NT1TsXF7/JbJOj2fNh7mw8iMUqwm9dyg+DXrg6BWMJT0OraML51e8jzU7Gc8aD3Fu0StUHfo5Tv6VOb/iPfTtn0G+kti+30hS8aT+CvPdKJ+HxeNODf+qVq2KVqula9euNG3alBEjRjB16tT8Ao2tW7cyYsQIJk2adIPZdWGMHj2asLAwVq1ahd1u58cff8RisfDoo49y/vx5xowZw4HCTF2KQUkY/iGBzXRjIsmrXmdkjY7oTdPIC2SrNgtZFw6g9whE1jtfMdfVoio24rbPwad+d3wa9SJm8/dknN1NUJvROHpVwBh3moTdC6jUR/x/c/IKxJgae1e3rdPpcHTRUKuW912NA9Cly4NYrSrz5kk8+KCQ9Nyx46oPwFNPCRmVPGw2ETh//nkh8TBihAiQN24s1sw2mwiyT58OK1cKY2yr1V4i9wqicKicq3h5edGrVy/CwsLIzc1lzpw5tGzZkrS0NFatWkV0dDTPPPMMY8aMKdJ4zz77LLGxsVwurrZrKaGqCga/cFzDGpF14SDZl4+i0TvhFt6MzMg9RRpD6+yFa8X6SLKW2k/Pwxh/lqSDK0g9vil/HRy3/We8arXDkh6H3vMOZZpKGD8/DR07OrNyJbRpU7yCSRDnf/65mMt5ZvTPPCM6Q06cEP52PXuqHDtWdjTW75by5UI5/3psuUYMvuHFusbgJ87XODhjy0nHpWJD9J7B5KbdWi5Fo3dCVdUyHxgHsRno1Em4Em++TdxfpxPGC1ZruRlnaZGVlcXp06fp3r07JpOJmJgYFEVhzZo1DB8+nGHDhvHUU0+hqio//vgjoaGhfPXVVzdUfru6uvL000/z0UcfsWjRIoYPH85rr73Ghx9+SFhYGPHx8TRu3BhFUcjMvL+VX6aMJPSuXlQZ8jmSpOHsr8+RE3uG2k/Pw5x8kXMLX0SxFqz88azRFgdXH+L+nkvc9tk3jJmbGk3M5umkHF5N1eFfXzEMlPO1GAEkuey82iwWCA2Ffv1Ee9qrr4rKGEURWuGvvXZjlUxhuLmJDURurth4WK1CO65vXyhz/lT3gSNHjvDHH39gNptLzNT6pZdeQpZlQkJCCkigBAYG5iegisr+/fsJDAwkPj6e4OBgvL29ycnJwW6/83eJxWIRck1VK1Gv2p1Jsmn0BiRZRrGar2zib4Ni59L6r6g99lc8az1M6tH1IMnoXLxI/GcpmWd3iU2/xYgpMRK7ORuDX2VAVN0oVjOO7n6YM4soJFxGsFqFBmPXrqKS/FZ07y6qV8speTQaDd99912Rz9+6dSunT5+mRo0aNG7cuEjBNEdHR8aMGVMmAuOSrAFJxpqTTvzOX4t0TcxfM/Cs1Q6NwY3U438CkLB7IR41HqJi91dQbLlknNuDa2g9QPgGgJB3SDu1lQqdJ5aJNW5eYrmoCSkQJn95SWKzWXgFxMeL96S3d3mHVWmS9y47evQoK1euxN3dnf379xMbG8ulS5do1aoVixcv5s033yQlJYVvvvnmpmMNHjyYadOmMXPmTHr37s3Bgwfz38GXL19mzZo1NGnS5K6D4yA8uU6dPMH23fv5efHaYl0rARqHl1AsJuy5Bavhtc5nUJX3sOcFziUZWeco1qnSNS0RqopiNWG3mtF8EY6sc8SanYIk70P7znpsxgxUuwXYg87lB5AkFLsd5TZSoLfCaDSjc3CgR89e+Yn/u0FRRBD8jTdEsHvCBFixQlSJf/ABfPyxSC537gzvvAM//CASyO3bC6+rvC7IsWOFRIO3tzDGXrZM6JYDODjoSuReyylIUFAQI0aMyC+m0uv11KxZk9jYWObOncunn37KF198wVdffcXGjRtvm5h+5pln6NGjB8uWFc0H7p6gqtjM2VTq+w4Rvz6PMfYUxrgz+DbuU+TguE/9bqiKyuk5T+Hg4oV3gx6Edn0R/+aDOffbJCwZ8eSmRpN5/gCOV4xzywLNmjly7hwMHSqRkVE87xy4er6zs/j91VdFkL1XL/HnESOE7OCxY2XHB+Fuuf8rv3LKuUuyky7hWbs90ZunF0l3XNY7E9T2CewWE5UHfpD/ee2x88mOOUH2xcMY4yOwm7PIiT2FYrnaxuVetSW5WSml8hylgaqK7Hzv3jcPkBsMsHCh2MyXbxxKl8uXL9OpUyeio6MZOnQoPXr0YMOGDZw4cQJFUfj111/58ccfee+995g8eTKvvvoqJ06c4PDhwxw9epTq1aszbNgwnJyc+O6773jxxRdRVZWPP/6Y0aNH88wzz7Bnzx6eeeYZzp49my/lcL8wpsbiHlQFJ/8qRPz6PDkxJ3Gv2hK9ZxBRy9+5ITAuafUEt3uK5CNrCw2MX4s55RLnFr5EjdE/YUqMwuBTMf+Yg7MbpjKi9ebgIAw0Fy0Sv/KoUEEs+t9/H4qy3v/gAzHWjz+KKvTffxeLk8ceK7Vb/1exZcsWMjKEUWRubsks0m42f1JSiv8OuDbJZTabiYkpOd+KqIvR0LrxnV2sgtbJnaQDK67qJ94GS3osmZH78G3Um9Sj63ELb4bO2Yv0U1sxxt2oMenTqBc2UyZagyvm5Ito9YY7u9f7iE4nNvILF4rNwM26+bt3hyVLyqtVS5N169YV6/y1a9cSFhbGzJkzadOmzW0lHaZNm4ara9kwpXTyCQFVIfnwKlSlaJVZtpxU0k9vx7dRL5L+WSI+VBXST23FmplE1eFfEdjqUTSOrliyktE6eQAQs2UGTv5V0RpcseSkl84DFQOrVSSUr7FHuiX16okOyKFD4e+/YcgQEWzr3l0E62rUuFH7uJySI+8dN2PGjHwzW0VRUBSFGTNmMHnyZMLCwujWrRtff/01AwYMYPr06SxduhSLxYIsy3Tv3p1x48bRpUsX5s2bx/nz5wkNDWXAgAEFftaiRYvo1asXer3+rt/38fHxGI1in5eVU4Idh5nxhXxoBtJvcdF1siHp160TMktwXZtjZOvWrXc9jNUKS5fCzz+LKtNff4XFi0WX45IlQnfczU1IDFavLq4ZOlRIMixbBps2iS7IK/ZL+UydKpJjc+YI+ZXCukLKuTvCwsIYNmwYGo2GFStWMH/+fBISEnBycqJr166MGTOGJ554gl9++YUNGzYwf/58qlatytSpU2/wJvD19eWll15i0qRJ7Nq1q8Q8AUoCxWbBbs7Cwc2Xao9+R8LuBaQc20CFTs/hVbcLqcfW3/J6g39VAlo+SurxPzHFn8EEZJzbjaN3KOEDP6bq8K85M3cctpxUsi8fxTmoBkoZSDC7ucmEh+t48kmJ3FyhEX6libXI5J0vy/DNN0IO6Z13YNUqqF0bPvpIJSLCQk7Ov8NLqCiUL93L+deTGR+JZ2gt/Jr0I37nvFueq/eqQNVhX6Jz8SLt1FZSjqzBnHIZlwr18G3aH+egmkJ/8Qr2XCOpxzeQtH85is2CW+VmJJ3dX9qPVGJoNCKjt2mTqKD57jvRqpabK4Jzjz0mNg+enuWB8VtRUlWpTldEpvMq0nJycqhZsyZ2u53k5GQcHBxwdXXliSeeQFVV7HY7siwXkEmZNGlSvmFgHqqqUr9+fdzd3TEYDPTp0wej0YitOG6s11ESVamm9ERUVSH74lGyLx0BwKdRb3JiTmKKv1FM1LPWw2gcXYpcIWdKiiI94m+cg2qi0Ttjt5iQZC0SZWcVbbeLYNr1RVKXLwsNt+++E/Nx8mRRfXM9Go2ounn2WTFXf/hBfO7sLKrO7fZyORWAhx9+OH+OOjjcuSSAXq9Hr9djNpvJzs5GVVV8fX1JS0vDaLy6cfb39wcgMTHxtgaT3t7e6PV64uPj8+etq6srrq6ud5XAypuj4RVD7ngM1W5D1ujIiNhZrOsyzu6kQpeJIMn4Ne1HTuzpQgPjOldfvOp0IvvSEdzCm4GsAe7/puFOkGXRAfLww0KHce5ciI4W79gOHcQGv1072LVLVNt06CAS1OXzs2S5dh4WhZycHFRVpW7duvz1118MHz6cs2fP3nCel5cXX331FSNGjCipW71r9C5ewtQ66p9iXZcZ9Q9etduL+XbNJj0n5gSJ+xZfMftzIDNKJLkUuw2ngGo4elfEasrCmHr/k8s6nXh3fvIJnD9/+/Nff/1qQM5mE2ZiX34JX3wh3rOjRsGsWWLdWz4nS560tDQiIyMZMWIETk5O2O12ql+Jhv7000+88cYbfP311/Ts2ZONGzdSrVo1FixYgN1uJysrC2dnZ3Q6HXv37mXkyJEEBQXx8ccf89FHH/HPPwX//edJEZZEcDwgIICE+DhkScLJqXjOy6JyXCR7baYMVJvlygEZnYs3dlMmKipagzuqzYLNnFW4xrEkodG75PsE2HLSkB0ckbV6rNmp5MmyaA3uSFoHFLsVxX7n6/u8yvG2bdve8Rh56HQikA2iUrxjRyHROW6cqBR3cxPvw0OHICQEli+HQYPEPF2/XrxTb7ZVOXIEHnpIJLtq1izfp5YkgYGBDBs2jIMHDzJw4ECiowt6wWzatIk33niD999/nxdffDH/83fffZfJkyezcOFCTp06hSRJNGjQgP79++df9/fff9/TZ7kdFmMWBndfJFmDKSmKwFYjhaGmolCxxyR0zh4k7l92df7mI+FerSVhPV/HkhFP9MaCXWvmlEucnT+B6o99T4VOz3F++TuodiuS1gFj8t3JHpUE1arpMBpFUQeIWNDQofD220WXKxs2DIxGIW9ktYpE83ffCd3x2bNVjEaFLVvKhoxpSVEeHC/nX4/dYiY9JoLAh0aRmx5H2olNhZ6nc/Oj2qPfYjdnceL74Vd0jiWCO4zDv9lATEnnubzhGzLP7cFuNaFz8sCzdnt8GvTEu0EPzEkXUKwWshMv3tsHvEvyNgHt2gmZlWspr24rGiVVlVpYIOza7LvZbL5jg6Hs7Oz8iriyUpWqM7gga3Qk7V+e/5lLcC3idxUe/Pau14XMqP1Y0ou+qEg+uALPGg8BIGkdxOJGKhsraJtNmHCOGyc2D9fLMUydKubfF1/AI4/AjBmiIjw9XSSsBgwQVXPBwSJbnxcYd3UVLatVqpRv8vOoX78+kiQRFxd3R3qpIMwyu3fvzmuvvcYnn3yS//m+fftISkqiQYMG+Z+5u7uzc+dOEhISePzxx/PNi66lWrVqTJ06lTZt2tCtWzdiY6/+u+7Tpw+//PIL77///h1Lq+zevZvU1FT8Pe7cTMyUmYSLXyj2InRdXYs9NwdJkgls/Rhu4c2I3jz9hnN0Lt5UGfIZNmM69twcVMWO3jMIU/SZO77f+41GAz4+IjH15psFj/39t9hILFokEl1t2ojqGien8nlakgQEBHDp0qVinR8ZGYmLiwsNGjQgIiKCP//8k/nz55OYmIiLiws9evRg6NChaMrYX5RGI3TuFGvx1h15XSCyVo9iKbhxTT60Cv8WQ0EFj2qtUO02VEkipP1YFLudtEvHKQmzv5JAoxEb+ocfFvILhSFJIoA+eLCYf9cG2hRFJKFdXGDaNFGB+sgj5fOxtDhw4ACDBg0CYNWqVYwZM4YpU6aQmJjIo48+yu+//w7AoEGDmDt3Lkajkf3793P8+HESEhI4e/YsYWFhfPTRRwQHB6OqKq+//jrjxo3jjz/+YPr06ezbtw/3K1pyFsv1wazi4+XlRc3wEOpVC2X04O7FvFqi8kODUe02ctNjOTP3GezmLJBkGr66iZjNPxDQ8lFyoo8TueQNUG/9rq/QZSI+DXtyduFLVO7/Pon/LCVu+8/5x2s9/SuOXiGkRB0hPfrUHTytYNaiNdh1rviHVrnjMfJISrqqRZzHsWNXTTbzGDNGrGknTxYB9T59YOTImwfG88jKgkcfFYHyckoGSZLo378/x44do3379jdNOJtMJl566SVsNhuTJk1CVVWysrIwGo107dqVQYMGoaoqmZmZbNmyhcOHD2My3a1paikgSchaHZnn9+Pg6ktOfAROfuGc+/113Ku2ILjd0/i3GEbK0XUY485cWasG49OwJ3qPQEzJFzkzZ+wN3c4A1qwk4nf9SoWOz6Jz8UHvEQhA6sX7Xznv7Cxz+bIIboN4Bw4fLpJW629dLA+IteuYMWItsHSpxPbtopL8/HmV0FCJ8+dtrF+fQwl8DZcpysNi5fwnSD1/BI1OT6Xeb+BeuTmJ+5djjD2Zf1zn6kuVIVNQFRsRv07AliOqDoLbPYVf0/5c3vANSQeWFxjTbsokbvts4nf+SmiXF/Cq14W0SyfKhBbjnVBYELw8MF40SqIqVZZlXFxcUBSFlJQUXFxcMBgMpKWlIUkSHh4eZGZm3rKSVKfT4ePjgyzLmM1mVFVFo9Hg4OCAqqqi0ltR8ivl7oaSqErVOQrTm5yYq3NR1jsVCMTJeme0jq4oVjMObgGkndhYrJ9hvFKBrioKitWMRueIvZiBhNJCqxXtpW+9Bd9+W7ClW6cTFTOPPCKqYUJChMTKW29d1f23WoUs0gcfiI2Bn5/YYIwfL9zBy+dvyaHT6Wjbti0zZ84sEBgHmDp1Kh999BF9+/Zl+XLxnoiIiKBly5b88ccf7N27lwMHDvDbb7+RnJyMq6srffr0oV27diQkJNCpUye2bdtWYEy9Xp/fcn4/MacnAqA1uBXrOq3BHVVVCGwlqmxD2o/Dq04nkg/+Qca5vXjV6YBfs0GodgtRy96m2vCvyU2LxtG74m1GLvtYrXD0qJiXrq5gMgmpo5MnC563bZuQdCiBzvVyrmC32xk+fDgff/xxkc43GAz079+fn376iV9//ZWDBw+SnJxMu3bt6HRNtYDVakVXBg1XrFd0jHWu3lCYSsNN0Lp4oyr2ArKAeVgy4jHGRaDYcrm09nMq9ngN56Aa2C1mNA6OmDPKjh+ATie6HI8cEdVqM2eKbo28Y337iq6qVq2EuV9ehdz1TJ4sqtB794YFC8R7twz+df/rOXXqFFlZWRw6dIhPPvmEnTt30qtXL/744w+WLl3KoEGDmDdvHn369GH58uWoqkqnTp146KGH8sfISxZv2LCB5cuXk5ubS2hoKCNHjmTkyJFs3ryZrKwsEhIS7riYpORQsVlMSICDmz9Vh39F1NK3sKTHknX+AD6N+6DRO3Fpw1e3DYwDxGz+Hq86HQntPAEkmeRDq/KPuYTWx9ErBLvVjKO7L9xFcLwkuc4W6aY8+iisWyfm7wMPCPmVol579KjQMm/WrDyxVRJUq1YNHx8funTpUqROrDfeeINHHnmEy5cv06xZM5ydnfnggw9ue11ZwdHVi6yLh4jZ/D3VH/sevVcFzs6fQPblo2RfPkLyoVX4NOyJd72u+DcfDAgplrTT27CZMtHoXQp9l+aReuxPgh9+Gp/GvfGs3QGQsJnv0ui3hLhWjmj3bvFrxgxo0UJ0Wt0MWYY5c1ScnCAzU2HQIJkhQyTMZpXISAsLF+aSkPDvjIfdjvKtdTn/GZIi9mG35uJR82G86nTEnBqDLScV2cGAwbcSSDKX1k3BlpOK3jsU30a98Wvan+iNU28IjF+Lardycc1nyA4G3Ku0IP3yqX9tgLycO6MkqlIffPBBOnTowEMPPURcXBwnT57EYDBQpUoVIiMjmTdvHs/cRhDTarUSHBzM3r17GTNmDLNnC13uSpUqMXbsWF544QWio6OZO3fuXQfdSqIqNe+trF7TRmrPNaJx8sCrTid8GvXGJeSqjJFiyy1wblFQrzyn3ZKDYs1Fo3PEmFJylfN3y8WLovp71ixhMvTGGyIbv3q12PRv3y6OJyeLQFvv3kJL3GYTm4C+faFLFxGA8/ISn1ssIjCuquU6jCVF7dq1MRgMfPrppzcc++STTxg9ejQLFiygb9++rL9SchEREUHt2rXp3Lkz48aN491338XJyQlFUYiMjGT48OEsWbKk0Oq2Nm3aYDQa7zqJdbfYbaI927Pmw2RdKLq5mWft9qh2G9FbZpB6fBPOgdXxadyHCp0nEtJJEf8uJQ12cxZBrUeBJGGMP4uDRyCOrt6l90D3AJ0OJk2Cv/66/bk7doh21O7dy4NxJYEsy4wfP57PP/+8SLJhQ9EYlpAAAQAASURBVIcOxcPDg9q1a3PgwAG0Wi0+Pj4oioLRaMTBwQGtVlvqgfEck4lZi9YU+zpHw1be/HQqXnU6k3F2V5Gv867bmczIfdysAtxmTBfVrqnRnF0wkarDvsQpsAaKLZdkm4FFd3CveeSYTDjqSk6zXacDDw/RrTF5sgiumc0iWezhIZJQXboIDePr8fWF/v0hKAjOnBHzdvJkIbFSTsmjqiqKorBz50527drF2rVrmTNnDh06dODAgQMsXbqUHTt2MHr0aJ5++mlCQ69K9lksFjQaDWfPnmX+/PnMnDmTxMTE/OMffPAB3bt3Z9asWXh4eJSIXnZJkB59Bu+wuiBJ6D0CqT32VzIj92KMP4trxYZknN2NNTPx9gMBitVMypG1+DbqQ9Tyd7BmJeUf82suKtTTT27Bu35XNDp9mSgEKaohfHCwKBYJD4eKFQt68BSF+fNFUL2cu6dx48bs37+/yIa2NpuNmTNn8vLLL/Pss88ybdo0GjRowOHDh0v3RksISZIxJZ3HlBiJJSsJc/JFsi9frezOTYsh5q8fiPnrB2QHJyRZI4q4VAXn4NpUHzkN10pNyDpfuLyZYjGSffkIPvW7I+v0qHY7skZ3V6a5JUFWlkKNGkLaKPOKL/DAgUL6b9cuGD26cD+6ypXhm29UunSBtWtziIwUzyHLhct//tcoG73n5ZRTQsgaLYolB7vVjNbRBdVuIyfmBJlR/6Dk5mDLSaPKsC+o/dQv+DTqhSUjgcT9RXFUVonZ/D2yVoeL37+/8q2ce0+dOnVYs2YNO6/0Hzo7O7Nz504GDBiAwWDgo48+KtI4+/fvZ926dQUC6efPn2fSpEn06NGDoKAgunbtWirPUFwUm3ih6j2D8j8zJUQS+OBwwnq9jmLJ4cLKDzm78CUil7yBzZxd7MpSR2+xuUo/vR2dsyfZKTHYC2l9ux9YrdCkiTAqGjRIGPqdPQv79kFKijAzadNGVMMtWyY0jPv1g7Cwqxv9TZtES/i+ffDEExAQIDYjTz8tFin3Obb6n6FevXps3LiRqKioG46pqkqDBg1ISEhgzZo1LF++nA4dOuR3amzdupWlS5dy8krp8OTJk/P1VAsLjPv6+jJo0CAcHR3R6/Wl/my3wi2oCrJGi1fdTmiudHrcDkffSriE1OHi6k9J+mcpdlMGmVH7iFr8OqfnPI09NxtVhYxze8m6eAi3ys2wZqWI93OuEVnz763LUFU4d65ogfE8pk4tD4yXFJIkERAQwA8//IB0m8xg48aNmTZtGrIsEx4ezksvvcRDDz1E69atGTt2LKdPn0ar1d6VN0dR0Do64+jmh13nWuxfOTaZHJMJj+qt0Ln6FunnOQfXximg6i2LPjSOrui9QtB7haDaLFz44wMkWYOs1VO3YXMcPQPv6H7tOlcc3fzQOjqX1P++fLRasTkPDYVq1URwrU4daNv2xsB4jRowb57w9vjmGyHf4OUlAurTp5e/N0sLb29vHB0d8+fUkCFDOH36NNu2beOdd96hRo0a2Gw2Pv30UypVqkTDhg356quvyMjIQJblfA+PyZMnc/ny5XwDQBCeO6tWraJ169bk5OQQEnLnXY0lSWbcOeERlGtE1jliy07D4BtOwIPDkDRaMs4VPakFkHF2F5JGiznpqtB+4EOj8Kj6IDmxp0g6uAK4qnV+v/H3F+vcouJ2pUktuZgNKsnJ5cUgJUVwcDBLly4t1jXLly/HxcWFgwcPsnHjRho3vkMT+HuNJAtzACScAmvg6BlcQOrzehSLUUgjXSnUyok5gTHhHD4Ne9zyxygWI1onDzKi9iNJEi7+YSX3DHfImTMWdDrRtZFHTAy0bAmJiWJ/efKkSBiPHi3kO9evF2vchx9WWbUqOz8wDv8fgXEorxwv5z+EpNHi6leRhN0LSDu9jdAuL+Aa1hC9dwioYMlKovLAj8iJOcnFtVOo0Ok5sXkoYqWqJTOBjHN7cAuoRlb8jQGUcsq5GUFBQQQFBfH444/nf2a1WjGZTDz22GOsWrWqWDrh33//PatXr6ZOnTocP348//P169czadIkpkyZwo4dO8jMSxXfJxTFhmq34dOgBznRx3H0qYhzUHVy02KJWv4OuSkFRUT17gEEtXsKrbMntpyi9Vv6NOyJardhzUoV2f5btL7da3Q6UaH22muiYmbtWoiMhLg4aN1amBQVRnS0qBj//XdRETdtmtBv/PBDoUcOoi3OZBIB9XLuHldX11tWwWRnZ1O5cmW++eYbhg0bRp8+fbBarZjNZpycnJBlmWPHjtGxY0c2bSrc9yKPd999F0VRcHBwIDw8nFOn7ld7tITblQW8JGuo2ONVopa+fcv2b1lnIKzHq+Smx5N2eusNx03xEZyb/wLVRk7HJaQWss6RlKMb8K7XGZ2rN7npsaApnulZWcJqFRuK4lBGChzvKzNnzsz3xLhbatasyahRo3B3d+eVV165IaGl1WoZNGgQs2bNQlEU+vfvz7JlBYsg/v77b2bOnEn79u1ZsmQJubm5/P7771itJVvplWfgfacdZwBmkxlng4Hw/u9xdv4LKNabv+O0zl6E9XodU2IkmTcx8dS5eOMcJKrEaz/9K5nn9wu/nci9uFZsiKTRUrdxC84XxQXzFri4FC3ZdqdMnw4nTtz4ebt2wvQvOVm8e+fMuSrf4Od3NQjg41MuTVbSNGvWDEVRqFy5MiB8dp5++mnmzJnD5MmTefvttwFRiZqUlISPjw9Wq5W1a9cyYMAAHn30UTZv3oynpycjR47kueeeY+/evXTv3j1/Lp05c4YXX3yRH3/8EQ8PjwK+PfcD1W4jMWIv/jUexJ6bQ3b0cTyqtURVFCRZxm65vWzFteTJDso6A05BtfB/YDCeNdoAEPn7a+g9g0v8Ge4Gq1X46lyzvSmUmBhh1DlnjvizazGbS9yKp/xWzi3Q6/XF3h/mne/q6sp3333HypUrCQoKKuClUyZRVSRJg1NgNYxXJD6zLxdPwD770mFcKza65TlaZ09UuxXsNkxJ53FwKmJLRSmSk6MSGWll4kQdc+dK+XvO6GghUfTQQ2LuvvyyKLoymcBiUTGbVVJT7dSv70hwsJ3sbIXYWBtJSf8fqgnly4Jy7itHjhxh9aqVWC0Wfl689q7GkmUNsnaCcPZW7fDSAiRZi+xgQNbpAUlkBHNzkDQ6tE5fYzOmoRbD8Vv+qhsavQu2uwjA5bmE9+jZ647HKOffhbe3kBHYvn17/mfR0dGEhoZSoUIFVq5cWazx8lrhQkNDCwTHAX766Sfee+89mjRpwl/FKW8sBWSNFkmjxbNWO2K3zqLy4M/IzUjgzLxnUa4zANQ6e5KbmQiq0C++tP7LW2q8AehcfPCq3Z7s6OMEtn4UVVHQGUqunbskcHISWqgffSQC3f7+0LHjzQPjeSiK2MTHxEBCgqg4nzBB6MXl8csvQpKlWbPyTX5JcDuJE7vdzvjx4xk/fjwDBw6kU6dOjBkzhu3bt+Pl5UXt2rUJCAi45RgffvghY8eO5emnn+aHH37AYLh/1V86gwtavZBNyk2Lxb3qg1Qe8D6XNnxdaBu4o08YFXu+ht4rhIh5z8NN5MVMSVGkHF2LZ422pEdtx6tOB7IuH8U5qBY6Zy9yc+5v0u5uKa7Mrd1ebn6dnZ3NpUuXSiSQdfToUc6dO8fYsWMZMGAA69atY8uWLZjNZipUqMDw4cMJCgrCZrPRsWPHW8ovbN68mbZt27Jz505q1KjB/Pnz7/r+riU4OJjQ0FBeeOGFOx4jz0/EKaAa1UZ8x+UNX5MTffy6syTcKjejQucJSBotkQte5GaSKt4NeqDYLByfNgz38KYEtHqU6iOmkvjPEtyrCN2Cvn373vH93isqVBBaxNdSv77w6di5U8ip5Fwn+5qYCB9/LMyt164VFa//z/OyJHFwcKBevXpER0czYMAAJkyYwFtvvcX48eNJTExkypQpHDhwALvdTo0aNXj66afR6XRs2rSJ5ORk4uPj89fIaWlpfP3118yePZuVK1eyevVqmjdvzrlz5wBYuHAhX375JU2bNmXjxuL51JQGOUmXyfK8gFtAJTIi92AIqIbWwQmts/sd+XkAhPV5A4NPGHaLiezYUzi4+mLPzcbRrxIAdkvZ6JDMq0xdsODWieNffhFdkhMnis7JXr2ErGBR6dOn/D1aUpjNZry8vIp1Td75mZmZbN68GaPRyMCBA9HpdGi1WnJycoiIiGD//v2kpKSUxm3fISqoKi7Bta9IjVGsuA+AarMiaW7e/ufg5o9LSF3Sz+7Co0oLcuIjkLVlo7Nj714TgwbpWLFCpU8fqcDec/v2q3NQrxc+AH37gkYjExIixEXCwrTY7aDVSsTE2Dh61MyZM/dXLqa0Kf+KKee+smXLFlLT0gHIyiledr1oWIDCxrVA2p2YJViAjLu7JYAcY5nRyyun9NFccZC5VmLhhx9+YNq0aaSmpuYbEBWVPD1xTSHONNnZ2SxYsIB+/frd9+C4cmUBYs/NpuojX6N39+fMLwUD484V6uLXuC8e1R9CuiK34FWnIx7VW5NydD1JB5ZjTr54w9haJ3cqD/4EmymTqGVvE9z2Cbzrd0WWy5Z+gSwLo834eOESvnMnHDtWtGszMoTO4pNPwuefw5QpEBgoKs/z+O67m5uQlVN0srOzqVu37i3PqVatGmPHjmXw4MH4+fmhKApWqxUPDw/q1KlDREQE8+bN44knnmD69OmsWrUKo9GIl5cXQ4cO5bnnnqNatWq8+OKLzJkzhx9++KHUJR1uRZ68iarYUVUFS0YSzhXqUWfcQjLO7iL97E4UiwmtwQ2v2h1xCa2HJSOBiHnPY0o8d8uxkw/+gV+TfqRH7ERrcMfRJwxZo0U2uJFrvLnpcFlHlkWSKygIHBxEdery5aIV9WYtp35+5Rt6gPT0dC5cuFAiUkKrV6+mZ8+exMXF4eHhwWuvvYbBYCAlJYXIyEh8fX2ZPXt2kdZZR44c4csvv2TixIlMmzYNk6lkuo9yc3MJCwsroKt8R6gK5vQEHD2DMPiGUX3EVIwJ58g4uxN7rhGtwR2v2u1xcPcnJ+ak0CouTONYknEKqI5/80GkHluP3ZRO6omNZETupsrgz/BrNvDKj7MjyWXb9c5qhccegzXXSaN/8glcuCDkyW7lM5eWBl27indxUJCY1+XcHcHBwRgMBqpWrYrNZmPDhg3UrVuX5557jhkzZtwgMfbpp5/Sr18/Zs2aRbt27fjqq69u6NzIyMigV69eHD58mLfeeosRI4QBtMlkYtmyZXTs2PGePd/tSIrYh4tvCMHtnkbr6MLJGSOoPmoGnrXak3yw6AUwnrXbY7eYMMWfRbVbsWan4lapCYotF0mjw7dxH8yZyWVGPhCE3MmqVWJO/v574bJF8fEiUTxhgpAaHD0a3nxTVKvejrAw8d4tn6clw6VLlxg8eHCxTDUHDRpEeno6R48eRVEUsrKyyMzM5KeffsJisRAWFsajjz5KixYtOHbsGCtXrizxTqw7Q0LSaLCZMnGv3BwABzc/LBlFd7h2cPdHVWw4+lbCnHSB6xPPPg17olhMxO/8Fc/qrXFw98dYRoytU1MVVq/OpkcPFw4fVvnqK4lffoGsK8twgwGGDoUXXlCpUUNi8WKJt98WRVnOztCli8Tzz0O9eqCqGrp2dSE4OJctW4z/WXmy8uX6/ylWqzW/Sk6WZbT3aef28MMP51eOOzndeau1hITGQVSHX2tgAqI1TePogi0nDVURgQhJ1grpBmMGqmK7uhFQ1Stmm4XPeFnvjMbBqUQqx9u2bXvHY5Tz7yLPDTwsLIzIyEgA/P398+dhjRo1ijVe9erVAYiPL/zlHhERUeotzUXBlpuDqtjJPLcXz9rtMSVfICf6amQ4qO2TBDw4DHPyRaI3T8OUEIWDZxA6Z08M/lXwqNEWnwY9uLj2c1KPCVFRWWfAq04H/FsMQ9bpObvgReymDOL+not3/W5IZdDKXpKEIaeiiCry4rBokQiO790rKnQeeqigkdGqVSV7r/+vHD9+nG7duhEaGsqlS9fJ/ej1zJw5kxEjRpCUlMTcuXOJiIhAo9HQrFkzhg0bhtVqZe7cuZw+fZpnnnmG3377DRCJLFmWsVqtJCYmYjabWb9+ff73//2ssMlLXiHJ6D2DMCed59RPj+FVuyOBrUfiUb11/rlWYwbnl79L+pkd+e/RW2FOvoglKxlH71Bit8+mxmPTsWanonX2KPOBt5thtwuT3KAg0dGRmyu0G8eMgago0R0ya9aN1z322NVr/9/R6/V3JTFyLWfOnOHhhx8mJCSEpCSx7qtatSqnTp1Co9Ewffr0Io81c+ZMXn/9dcaMGcP+/ftL5P52X9vmcxdIsgbVaiYn5iROgdWxGjOwZqfiXb8bGp0hX7ZBseWS+M8SrJlX18Cy3hnvOp3wadRLGNMjgt86N/8rBmMHsJuziVz8OrXHLcz/eWUdnU5UuFWoIHTFQWzwu3SBESNuHRjPIz0dvvhC/Crn7nF1dcVut/Pzzz/TpUsXGjZsyKBBg1i8eHGh5yuKwpIlS7h06RLbtm27aSVrRkYGU6dO5cMPP+SFF14g+YpYdWJi4n337CiIit1mQ6N3JuPsLnLTYkg9uh6/ZgOuBNVuL1OkMbjjWasd1swkHH0rYfCthM7ZG1VV0Dg4EdBqBM6BNUi9UMQKi3uERiPWub/9Jt6DU6fC4cNizVujBjzzjJBUURQh4/DRR0Im5bPP4Nlnbz/299+La8uD4yXD/v37GTFiBK1ateLvv/++7fl6vZ7Ro0cze/bs/OSxwWBgypQpTJkyJf+8V155hWHDhvHtt9/yyCOP8Ouvv5aBALmKqiqkR/yNd93OqIod73pdiNsxp0hXawxuuFdvjazRUeuJ2ZhTLpN88A9Sjq3Hbs7GpWID/B4YTOK+xdiN6QA4uHiTfL7szNHoaBu//55J8+YGvvlGx2efwcWLIolVsSI4OUlcvizRunXB7uSMDJHI+vlnIRE6c6bE5s3Qtq0DdrvKtm1lR8a0JCkPjv+fYbfbURSFZcuWERERgVarpUWLFrRt2xar1YruHrtG1a9fnwBPZzTWLEYP7n7H4wTUbo3e2Q2toyunfhqTX9Vm8A2n2sjpGONOcXb+xKsXSDJ1xv+OYs3Fwc0XWeuQfyg3LZbkQytJPrIOu+naKnGJ2uMWYEcm7uiWO77XWYvWYNe54h9a5Y7HKOffxYULFzAajYwaNYo33niDESNG8NZbb5GQkICfnx+DBw9mwoQJRW45f/LJJzl37txNN/EajabY1eilgYSEJGtwr96K/7F3nuFRVG0YvmdbNr03QkIoCb2EJlV6772LIIh0ReRDUBQVu4ANEESkiYCI9N6k995DCCSQ3sv2me/HkEggQAIBFt37uriUmTNnZ0jOzjnved/nQZJIufDPuPFv9Bp+9foSvf1HDMnReNfsQmDLvJFj0WLCkBZLcId38anZFbM+E8eACijUdmTcOMXNDV/m7v6bMhJICz+AY2DVZ/qMBSHHREihgOTkwl2bEzu1WOTFges9MnZZWbZFQ1Fw9uxZmjVrxvjx4xkzZkzucbVazdq1a2nYsCFDhw5l0aJF91WAjBs3jnfeeYdp06bx1Vdf0axZM8qVK0f16tVxdHQkPT2dv//+m9TUVM6fP8+ECRPw9PTk1q1bhfIaKGpM+ixEsxF9crS8CHfyRDTqSb2yD7/6A0g6s5no7T8S3HEyksVIysXCvfcksxGFyo7s2xfIjr2C2tkLJFCqrSmgUTDMZrh5Ez75RA4A3J3tVru2vOn1889yIOCdd/45p1bDqFG28fk0OHXqFE2aNGHy5Mm8+eabAAwfPhyDwUB8fDynTxdcVzQ6Oprjx49TvHjxIguOFyUKtfaOhrEcKNd6BXF99dRceRWHgIoEd5hEyc5TKNboNRKOr0Fh54jvS71QqNSkXt5H/NE/EE0G1E6eeFZuSUifr8mOC+faykmY0uNJPrcVzyptMGUkonHzQxCs+5dWkuCvv6BJE+jeHebNkxfzD4jF5suvv8rZ5lYVY31ByTHInDp1Kt27d+ePP/54YGD8bo4cOcJXX33F2LFjGTduHFn3auEACxYsYNq0afTu3ZsffvgBkIPxz7Py6l4EhRK1nSylkHhqPQC3ds7Bs1o7gjtO5sri0Q+XClQoCe44CUEQyI69gkWfiTE9HtdStUFQYMxKwfelXkiihcyE6GfxSIUi5x0XHCxXOeb8XZL+ySTPOTZpkiyJNGqUfO5//8s/g9zdXZZjadnS9g4tSq5fv05sbCzz5s2jXr16pOSYMjyAH374ATc3N2bPng1A06ZNcXFx4ciRI3naGQwGFixYwLlz59i9ezetW7dmnRVk8IgmA44BFUBQkH7tMF5hHYg9uAzJbHjktV7VZCPOSwveQGnngGfVthRrOgyfl3qReHojfnV6k3njJDF7fsHeR/ZaMJv06FIKnpn+LEhOFtm0KQtHR4Fy5TT4+CgpW9YOo1GWQ2rV6uFG1QsWyBWQc+fCDz8IjBql5exZA8nJ/z6XTltw/D9CjgzDRx99xKxZs3J33nMoW7YsH3zwAX369Hket/dEqO2dcfQMIHLdZxRrPASvGh2J2jQdO/cAyvSbDkhk3brb8EwgoOkbaJy9MKbFcnvPfDKuH0e0GO8sGlrh//JgfOv04drKSWTdkh1/XErVws7NH126dZTK2HhxMBqNnD17lmHDhvHFF1/w7bffAvKC/LPPPuPLL79kxIgRfPrpp4/sq0SJEvTo0YNJkyY9UCO5du3apKUVgfzPE2Ixy5nxSjtHkCQs+gzs3APwrdcfr6pt0CXexCusI1rPQLJuXSBy7aekhR/EYsxG7eCGe4WmeFXvhCRJ2PuGYMpKwZSZiNLOCZfg6pTo8C63ts8iO/YyAFnR53AuWfM5P3X+mEzyxOJxTYgsFnlxcO+60cPDtmgoCoxGI3v37mX06NFcvXqV77//HoCPP/6Yxo0b06pVqwdKNKSmpjJ58mRiY2P57rvvOHLkCH/88QeXLl26r+3s2bP5+OOPUavVrF+//mk+0qORRJAkVFpnsuOu4ugXimdYR/wbDEBl74I5KwWLPiN33BYGQaFC5eCGRS/ri2dGn8ejUgskSQSEp/AwTw+TCU6elBfo+X2tHjkiSyYdOgTffSdnsn73nTwuf/lFzjQXXqxHfiHQ6XTs2LGDsWPHEh8fz/Tp03n11Ve5ePHiY1VDpqam5gb4rA6FEvs7WsPXVk6iRPuJlH3lBwxpcSCJ2Ln5I1nMWIw6NK5+BDR7A0FQkHx+B7d2zMaUmXfeGn94OY6BlQlu/y5lX/mRywtHkHhyPd7VO5F+4yRerm2sfpiqVHKp9/nz8hgLD5clxwrjCZCaKmfQhYY+tdv8z1C8eHHWrVtHSEgI7u7uuUHsgpBTudGvXz/mzp173/nk5GRu3rxJYGAgIFc8d+zY8ZFBvWfJvUlWAA7+oShUGrReJQgd8D2Ra6flm0GucfMnqM3bOAdV49qKyaRHHM49p3Jww7NaO/wbvAqCgCEzBZPu+c/vH8Td89EcjXCTSfbZcXKS5cjMZqhQQW4zcqRc7fHzz7B2LaSny2a5ffpA377yBrNtjlu0SJLEypUrGTRoEPv27aNPnz6cudfAAfD29ubrr7/mlVde4ZVXXuHq1asAjBgxgvPnz+fx0bqbo0ePMnnyZL766it27dpVZGbcj4tRn4XWvTjpEUeI3v4D5QbPo2Sn97m++sOHVkI6B9fA/+VBJJ5cR3aMPJ/PiDyBeudPlO75Of71+5N6ZT+Raz5GEs24V2yKJFrITrauwPjdZGVJHD9uoHlzB9LTJVxcBIYPf3hgPId58+TkD19fiI+XqFLFjt27/33Z47avm0ewdOlS2rZte18w+UWkR48efPTRR/k+y+XLl+nbty/Tp09/pCmZteHiXxqzLp2UC7tIPLkOj4otsHMPoHjLMVj0WZh1abJB5x2KtxiFT61uRG39jnM/9iH+8HJ08eEYkm6SeeMkN9Z/zrkfe6FLvE6ZPl9j7xuCxsWXoHYTMKTcxs7x+TsQ23jxOHToEE5OTkRFReHm5sa0adOoWbMm3377Ld9++y0fffQR3bp1e2gfvr6+bNiwgdu3bzM/v/p9wN/fn86dOxcqa+6pIYkYs1IBAUmS8K7ZlYrDl+JWtgFp1w5jSLqBeGfnXu3ijVLrhEWfAaIFU2YS8UdWcmHOAOKPrEBQKMi6fZ7LC0dx9vseRPz5AUqNPaEDvs0NiEsWM4JgfSXhZjNcvChnyhTW56xzZ1nXuHx5+e8nTuQ937v3g7WObRSOgwcPcv36db777jtWrFhB8+bNeeONN5g+fXqBtIu///57tm3b9lDzvV9++QWVSoXZbObUqVNFd/OPi6BE4+JNzO6f0SVGEth8BObMJAwpt1Bo5Cy4tPBDOAZUQOtZcO1k17INUNo5kBZ+CABJNMvBA0nEpHtxNMdFUd6Qats2/8D43Xz/vVz+PWUK1KkjG/717WuTU3maHD58mF27djFt2jSOHDmCu7s7Fy5cKLTZGICXlxcGw6MzyZ41kiShVNvlLuIVGgcu/Tqc9OvHsXP1xZAczbUV73Lyy5ac/roNF+cPBSDx1EYi13x8X2A8h6yos1xeNApJtFCyy4cYUu5ko5qNCC9INEqlkhfqGzbA8ePyJnJhsaLk4xcaNzc39u/fz8svv0xiYiJ79uwp8LXR0dEcPHiQRo0aPbBNjkQZQJs2bShevDgn7p0QPUccvYrnGv3lSBP5vNQLfdJNLv86HJXWmQpDFxD6yg941+iCe4WmeFZrT+leX1Jx+FIcfEO4+vs7eQLjAObsVOIOLOXqb+NAElFpHJ75sxWGu8eTSgXR0fDuu1C6tKxv3L69nKmqUskBOYVCrogcOxb27JE3ordtk00+tVrb+/NpkZSUxK+//oq3tzenT59m//79DBs2jM6dO9OvXz+WLFmSa67bp08fFi9eDECHDh3o0qXLIze/FixYgMlkIiws7Fk8zkMxZqQgKFUkHFuNITma66un4lK6NmX6fo1j4P1eQ0p7V3zr9qV0r8/JuH6cW9vzSrSZMhK4unQshpRbqB3dkCwmBJUdnlXaIiiUZMZHPqMnezwUCggN1aBQCGzdCnfUXgvE99/L69J16wTKlbP7V25c2TLHH0G/fv3o168fxYsXf67lz0+C2Wzmxx9/5M8//3xk2/Hjx9OsWTMqVaqUr9mfNaJ19iTt6gEki5GEo3/iUaEZZfpOx87Vl8h1n+FdvRN2dxb1zsE18KnVjZubpz/UIMWclUL47/8jtP9MSvf4FEGpQqHScPvgMgJbjpbTwF6wTQQbz5eUlBSio6MpWbIkP/30E++9917uuYkTJxIQEMCKFSuYM2cOP/zwAxcv/lPt4OzsTP/+/Zk4cSJKpZJmzZo9MDN80qRJANYRHAcUSjXZsVdw8C2DgEDk2k9JubQbyfyPNIW9T2m8a3YlsOUYtF4liNo8AwBBZYd7hSY43ZFKcS/7Mu5lX8aQFkviibVc++M9glqPo1TXj7i8cDga94A7ngHWg8kkB8YbNJBNwn79FUqVkjWKH4W9fY7OG7zxBuzeLfd1N3cpgNh4QgRBwMnJiQMHDlClShW2bduGKIq5paQF4ccff+Svv/4iLCyMkydP3nc+KSmJjIwM3NzcKFGiBNevP1qH9GkiKASMaXGkRxwlUGWHWZfG1d8nENB0GC6l64CgIPXy35iykvGu2YWoLd8WqF+fml3JuHEKfWIkAHZuxWRJCEnEmG29WW/3IopytkxBpeG/+QaGD5d1G00mW8bbs2DPnj3cvn2bDh06AHDgwAEGDBhAnTp1OHToUIH6KF26NNWrV+evv/56inf6uEgoNI4kndmIS8laeFVrh0elFjgHVeX6Xx+RciGv8bZXWAcsugyitsx4ZM/mrGSitsygTK8v5LJzACuXU7kXtRqmTpWrNxo0kMdcQTeM7exk3XIb8pxxzZo16PX6x9LLnzdvHunp6SiVSn766adCX9+1a1cUCgXOzs5IkoRer8+VTREEgaZNm5Keno4gCBw7doyAgAAyMp5so9VoNCIIAmJISaqEPr5xrqBU4VmyCmZ9BioHNxwDKmAxZOEW2oCord+hiwvn3Oy+uIU2oFijIRRvOQbhTjmRaDFza/tsEk6uxdG/LIFtxqFx8pLflekJJJ/dTHbMZbKizxK97XuC2ryNi19p0mMLEdF6RiQmwqxZsGWLrPvv7w/9+8Nnn8HEidCpk7yRtWGDnBm+eLE8XgXhftPqZ6zy+p8kMTGR2bNnU7lyZVq3bk29evVyz129epWJEyfy66+/kpKSgiAI9O/fn3nz5vHnn38+coynpaWxdu1aXnrpJfbu3fu0H+WhiHc2ltOvH5X/e+0Q4cvGE9R2PGUHfI8uPoKMm6eRzEY0rr64hsj/Dokn1hK9Yxbks6606DO5vftnSnX7CHvfMvjW6Y3SzkHeICvC+JBen8nu3T8WWX8A7u5OaDRvolDA1q2Pbl+ihFzpYW8vG3mq1bKhrtks4OR0jM2bj2M0Pvkus16fCTz/2KMtOP4fQKVS3bfDFxISQnBwMCqVitjYWE6dOoUkSUiSxMyZM/nll1+e090WHkGpwqyTS7cthkzCf59AudfmYdZnknJxF0qtMwFNh6Fy9MC7Rhey48IL5BwumQ1E75hF2QHfY0xPALUWkGQTM1tg3EYhqVixImXKlMFisTB16tQ850RRpH///pw5c4a33nqLESNGcPToUWJiYnB0dKRu3bpotVp2797NwIEDiY7OX29w0qRJjBo1iqSkJKvJgFOo1Gi9SpAde4XwZe9gMdxfXqeLv8bNjV+RFX2OEu3/Jwfrrh+jdI9PUTt5kHnzDDc3z8CQchulxh6XMnXwbzAQ/4avcnPzdLTewfjW7YdbaH0Uag2CUpWbwfO8Uath4EB5QrF8OXz1lRxsa9Xq0RlrX38ty7DExEDDhtCjR97zn3wCd7xZbRQBnp6eeHt7069fP7Zt28auXbtQKpX3GXQ+jPXr15Oenk7z5s3zDY6D7AkQHx9PtWrViiw4nqXTMX/5hkJfN61hL3QJEaidvdC4+hG1ZQYWXRqJJ9bgVbUtLqVfIj38IPFH/qBY4yFk3DhF6qWHZwT6N3wVp8AqhC//HwBqJ09cy9TBrEtDqXVh9Zr1XLt8/rGeE+Rn1aoLqU/0GEjSPxqLBeXaNdi5Exo1si3unyVXr17l+PHjNGnShPDwcK5du8bIkSMLHBx/4403yMzM5Ny5c0/5TguPICgQVArSrx3BkHKbYo2GoFCpubnpm/sC4wq1PZ6VWxJ/7E8kS8GM0HL69a0jyypq3PwQLWYUSutfIooinD4tZ42rVPDWW/K7ddOmgl3fo0fhpc7+rezatSs36eJx5o93B6ofR9Yvx1Q3PyRJ4vbt27l/j4uLK3T/DyPiRjQ0rPHY17sHVkChVBOx4UtKtPsf3jW7yicEgeRz2+T/Fy2kXtpD6qU9KLUueIW1x7/BK6Rc+htD6i3KDZqDvXdJ9MnRGJJuIghKXEPq4lOzC1m3L3Fr1xySzm4hoOkbuAVVsLrg+AcfyEHwu/0XT52Sx+Lbb8vz323bZFP5Eydg2TJZU/zHoo372Sgkoihy+vRprl27Ru/evSlevDiHDh1i9uzZhIeHU7lyZWrVqsWoUaMIDg5m8eLFvPbaawVSGYiNjbUK01w7Z085dnNXkDsz6gwXfhqIc3B1vMLa41KyBho3fwzJt4j5+5d8fOfuJ/XqfowZiZTq9jEaF18QBASFgFBE7047OxPFiyuBopUucXOTJ6cKRf5a/zm0bSvLHrVufb9c0tGjYDTCq682p1Wr6nz//QISE59U5kqJi8vz35y3/pmPjSfmwIEDhIeHo1Kp6NmzJyNGjKB+/fp52ly+fJk5c+bwyy+/sHz5cn766Sc0Gs0DerQuJIsZlfaf2a0xPY6s25eQLCYks5Hks5sJaDwEv3r9cA2pS9SWmQXuOyvqLLr4CESLCY2LN25lG2LIKGAKmQ0bd1GzZk1SU1PZsWMHMTEx952XJIkvvviC6dOn07VrV9q1a4e7uztOTk44ODhw6tQp6tevz9SpU/nxxx9zy0nVajVdunRhzJgx1K9fn+TkZKKiop714+WLvZsvCpUa0agnfPnEfAPjd5N0ZhNa75L41R+Af8NBgIQgKHAuUQ3nEtXIunWBhBNriNoyk1s7ZlO8+UiC208k+cJOPCo2BUEJkoizTzDpMeHP5iEfgsUCx47JCwSQtVB79pR36tevl8tG81sPOjrKQfThw2HhQvn/FyyAP/6Qz3t6wocfymZGNooOrVYLkFslZjQaSU9PL1QfFouFpKQk3Nzc8j0fGhqKs7MzV65ceSzph3w/U1ChdfGhsDUTwl1C2MUaDUYyG3IX8tkxl8m6dYGApsPIij5L3MFl2HuXpGTnKcTsW0TC8b/uWzhoXP3wqz8Ar2rtuLVrLunX5PJwrxqdAVnmwa9uX4LLVuVKRME3HO5Fq3ZGpXV87OsLiiTJwbfwQn6VXLjwTwarTWv82REeHk79+vXp3bs33377LTNnzmTVqlWPzAZv2LAhY8eOJTk52aoM/u5FNOlJOr0BvwYDMWenkHjq/s0wB/9QlHaO9wXNH45EysVdeNfsgi4hEpfgGi9MyYPZDIfvqFAcPiwHyd9+GzZvfnQOi0oF48bJ7+kXpFD2qdKkSZPczPHHWf9ptVrUajXJycl4enoSHx+PyfTwDRpPT0+0Wi06nY7MzMw8Ztf29vY4OjpiZ2eHKIqyvJBSiSRJCIJAZmZmrp/W45KTOV6qxJN5Dbj4lcKQFou9TykUGi0OvmVwLF4ZiyEb0Zh9X3uLPp3068cIaPI6CApKdf8EY2oMCSfWknxua67RLoICl9Iv4Ve3LyG9vyZy7TSSzmzGq3on1PbOViNR9t57MG3ag8/HxsoBtl27YMUKWeNfFOWN5ylTZGmknB/lC/LV868jMzOTX375hbJly1KzZk0WLlyYe85sNqNUKmnYsCH79u0rcJ8ODg7P/Z0qKJRondxQKFV3pDvvXodKZEQeJyPyOJ5V21Ki3QQu/vxaHinehyJayIg4invFZogWIwqlBgQB0VywjemHoVar0TopqVDB84n7uhelUokoShgMAgH52AmpVHIS16uvykHw116TN7ays2V/jwED5GMODjBqlMDbb7szceIbLF++NF9D5cLi5OT0xH08Cbbg+L8ci8XCjRs3cHNzY/Xq1TRu3Jjt27fTrVs3jh07hsViISQkhNdff50vvviC0aNH07ZtW1JTU/Hx8Xnet18g9BnJuIbUQ1CqczNlBIUC8U7mg0WfSdzh5fjVH4AgKHI1UAtKWvhBPKu2RbKYcS4RRtzFA0X+DDb+3fj4+FCyZEmys7PZv3//Q9uaTCaWL1/O8uXLAbnK48qVK0yYMIEGDRowceJEBg8eTEJCAjqdDg8PD5ycnDCZTJw7d45KlSqxevXqZ/FYj8TeTZ7xJp7e8Mgd+Bzij/6BT+3uiGYjicdWkx55AumOWa5H5dYEd3gX/4aDuLbif9xY/zmSaMGjcksQFIhmA6JRh5NPCasIjguCnB1zN7t3y4uEtWvh1i15obBsmRwkd3GBjh3lTHMHB/nYwIHy5GTXLhg8GBo3hl69bIv5p0HOJN7e3p7Q0FBeeumlAmee3o2Tk9MDJ4jDhw/HbDZToUKFIvEyUavVaOyd8A0q81jXW8xm7H1k347s2KuIxpw0EoHo7bMo3fMzQvp/S8SKSUSu+wxjegJ+9frhV68fqZf/Rp8UhaBQ4OBfHpdSNbEYsrmx8SuS7gTu3Mq+jF+9fqSFH8aiSwckqtaoxenzFx94TwXlaU+gc+QZCquiplCAwSBfp1TaFvvPAmdnZ7p3705qaip9+vRhwoQJ1K9fnxUrVjB27Fh+/vnn+wJ1CoWCXr16MX/+fGJiYggICMDFxaXQG2LPCrWTJ9KdjO64E2tkQ917UNrJm0bmQkoXmbPTUKjs5DEqKBBeAGkVUYSUlLw64x98IL9bp0+XA98PGrdKpWwAWLWqbXzmULVqVQRBICYmhrp16xb6end3d0aPHs2oUaMYP348+/btY+DAgQ9sv3z5cjp06EDXrl3ZvHnzfed1Oh06nY7Ro0fz3XffkZyczNWrV3nppZdISkrKNc1+Eg4ePEhycjK+bk+m4y0oVVj0GQQ0Hkr80VV4Vm2LR6UWQN5fQEGlQetZAqWdA55V5HWlZ6XmWEx6BJUGj4rN8a7ekey4cBKOrSbp9EbSww+SHnGEEu3+R4mOk0g8vgZBELBz9njuwXFJkg2oP/300W11OlkG8PBheQ68caO8uTV7NkyYAJMmyQkhZcvKY9s2Lp89oihy8eJFLl68iIODA46OjoiiSGBgIJ07d8bFxaXAfSkUClq1avXQipBngdrBBYVKI68VK7Ug4Vj+62OFWotoNhY8MH4Hi0kPgoApIwm1owcICgwZyU9839UqV8A3qMxDPYyeBEmSg939+8P77+eVIvvpJ9kvp39/WLo073UpKbJE0tSpsizSt99C//4KZs50YujQYf+KcWsLjv/LEQQBR0dH1q9fT7ly5fLd9bt16xa7d+8mODiY9evXs2PHjtwMuheB9Jhw3IqXxa1cI1LObwdAEi2oXXxz28T8/StOxavgHBx21+K/YIhGHUqNvfwFaBLITMxf0sKGjQdRvHhxRFFEEIRC76LnLOjbtWtH48aNczN6vL29iY+PZ/PmzXzxxRcUK1aM1atXk56ebjWZ42oHVwSliqST6wp8jSk9nvRrh1FoHLi1K6+mXcqFndh5BFKq64eE9v+OywtHELX1W9zKNkShskOh1GDUxaFyLJqM3CdFochfq3jnTggKgv/9D4YOlbVSczCZZDkGUZQzxCUJqleHRYvynrdR9KSkpGA0Gunbty8DBw7EYDBQv379QgXMatWqhbe3d76SKsHBwQwaNAiVSoXJZCqS92xoaChVqlR5sgm0Wt4I12enoXJwxbNKW7yqd8TOzR8Alb0zFYcvRZdwndgDS7i6bDxu5RrhHtoQt7IvgyBgzk7l5sZvSD6/HclsQO3ig0+NLvi81BNzdipaz8A7QWYRTw+PpzbhL2oUCjmAVhjv1OrV5etSUsDL66ndmg3kOW7p0qVp3bo1oijSvHlz9u3bx8KFC+nRowepqanMmjWLDz74gPnz53Pq1ClEUaR8+fIMGTKEEiVKkJ6eTq1atbh27Ro1atRg165dz/ux7kO0mPGo0oqs2xdRqDRkRcuyRAqNPR4VW+BYvCJKjT2CWjbRVWrsMRcigUtp54AkWnAKqoJoMSFg3StcUYRLl+TAXGjoP8c3bJArqmbNgnLl4Isv5A3pHARBll353//k6o74eHmM3qt3bKPwpKSkcPr0aaZPn878+fMZNmwYS5cuZWs+orZNmzalZ8+e9OzZM9/A+N18//33+Pj4MGnSJGrWrMnXX3/N+PHjKVasWB6plefGnc0kB98Qbm6eicreGdGoQ+0kj0Wn4Jo4BVTAK6wDKgc3BEFAAhRKFemRJ4g/vIL0iCN3NrsEnIOr412jM0Ft38Y5OIzIdZ+BaOHGhi+w9y6JS6lagITK7vkbc4qibNBX0M3jI0fkasrhw+XgOMChQ3IyyKpVcqCtSxc5IKfR2JJAngeCICBJEtnZ2djb29OhQweCg4PR6XSMHDmSjTk/uEfQpk0bgoKCHjm+nzY58mAZN8/gXbMbCcfz31i26DNRqDQoNA75Vns8CLWjuxwYd3BHUKrIiI3MNc+2ViRJ/uPoKK8zO3aEnAK7Nm3kRKwBA+4PjN+NTge9e8vv3G++kYPlhbBnsmqse/Zj44lRKBS0aNGCGjVq0KZNm4eWw0RGRtKsWTPMZvNzL2koDCZdBllJtwho+gZqZ28ADKm3cSpeETv3nHoRidiD8ihXOboVqn+VgxsolCg09sRdOpjvl6oNGw9Do9Gg0+lISEigVKlShbq2ZMmSAIwaNYqIiAj69+9Pu3bt6NevH/v27aNLly5s3bqVzMxMFi5cmFtyag3kTEr0yYUzM9YnRaF2dM/3nCE5iitL3sScnUrJzlOQzEaSzmwChRIErGp8iqKcDZ4fycnyAt3TEypWlIPkH34Ic+bI5xWKf2QZ7l4g2ALjTw+DwcCFCxcYMWIEt27dolGjRmi1WgYMGFDgPkaMGMH169fZsmVLnuPBwcFs2bKF1NRUADZt2oSDg4NVGF9LFjNKO0fsvUtSaeRy/F8eRObN01z74z2uLH2LiD8/IPXKPux9SlGy8xTKDvgO31rdct+lCqUayWzEKbAygS1GUab3l1QasQyvsA7E7l9MxKoP0XoUx6X0SyiUau7NprNWTCZIS5PNcAtKtWpQpw6MHi1fm5aWV4PVRtFRoUIFRo4cSf/+/XF1deWHH37g7Nmz9OjRg5YtW/LXX3/x9ddfU6FCBZYvX87IkSNZsWIFf/zxB5MmTcLV1RWTycSMGTPIzs7mzz//pFKlSlahkXovCqUKl+AaBLZ6Uz4gCBRvPorKo/8gsNVY7NyLIyg1qOxdkCQx11CsoLiGNkRQKIna+p1scG9lxtb3Igiyj0eJEtCsmWxyncPs2XIArnFjueLq0iVYvVpe/F+7Jmsgu7rK2avly8sySLYxWjRs2LCB5ORkXn/9dcLDw/nrr7/o06fPfXPSESNGcO7cOVauXFmgfr/66isMBgNpaWn873//IyoqirCwsKfxCIVGrrKQSDq3Hf+GA+VKqasHiPjzAyyGbEJ6fY7/y6+SHXuF2P2LiNn7KykXdiKaDTgFVsYpqMpdvckyDxGr3uf66qm4l2tMUKu35FOihfijq9B6lZCD0VZQ3aFUypUahWHtWqhV65+/54y9nLnt6tWy1rHN2uvZoFarqVatGoMHD2bSpEl88MEHTJgwgX79+jFkyBAMBgNdu3Zl1KhRtG7dmrZt2z6yT2dnZz7//HOioqKsYANL/u5JvrADO/diFG82It9WGTdO3skub17gnpVaJ1xD6iFJFhRqOwRBgTHbOivPcjCbZR+radPkMXfhgpwpXuZO8emIEbI82ZIlBetrwgQoXlye6xaBoopV8Py/WW08dVQqFYsXL+bo0aOPbBsXF8enBamPsjISrh5FUNkR+soP2PuFoosNRxIteNfoktsm6/ZFLEYd7hWaFbxjhRL3ik0RFEpiz/2NPv3Jy+Bt/PcwGo04Ojpy4sQJBg4cWKjF99ChQ0lPT6dUqVJ07dqVpUuXsnHjRn777Te6detGcHAwhw8fZtOmTRw9ehRXV1dC706lep7kBKoLGasXBMVDF+cWfQZR237Awb8sjgEVSb20B4VShT7xJhoXH8yGojUveVxEEbp2fXgbSZInJz//LO+8GwyPNuq08fRISkpCq9XSp08fLl26xJ9//snkyZMJDAx85LUNGzakb9++LFiwIFcLNSQkhG+++YaTJ0+iUCiYN28eFouFWbNm4ejoSFBQ0NN+pEcjKFBoHFA5upN29QBnv+/OjfWfk3ZlH5k3TpJ6aQ/XV3/IuR965i4gUi7/TfzhlShUGq6vmUbGzdPYuQdg7xuCJMHNzTM4+30PYvb+Slb0GXTxEUh39A8ExfPfECgIajVotXJp6Z09ykfy3ntyNuuiRdC5s2w4ZtvQKnpq165Nz5492b9/P9OmTcsdWwBbt26ldevWhIWFcfXqVWbMmMGVK1cYO3YskydP5sSJE9jb22Nvb49arWby5MnExMTg4OCAk5MTo0aNonjxJ9MgLmokixlJtOBSUjYNDGrzNp7V2hF/dBXnfuzNlUUjubZiIpcXDCPtyoE7c9+CvXgdilXAwbc00Ttmk3DsTyy6jAKZrT0vTCY5OG5vDydPyu/Mt97653z16lCzppz51rgx7N0rj0GlUtYir1NHbrNjB6SmQvv2Nm+AosJsNpOVlUVSUhKBgYGo1Wp+++03rl69yrhx42jcuDHt2rWjc+fOzC5EmmF6ejqL7pTPiaLI4cOHcXfPP4HiWePkEwSCgFtIXQzJ0USu/xy1izeluk5FaedA4ukNnPuhFxF/TCZ2/2JiDyzhxrpPOft9D2L3L8b3pV4Ed3iXe8dr6qU93NwyA6+w9tj7yXP6lIs7sRh1CAolFrMxn7t59mQUUtklIwPuzr8rXVr+790qc7t3y5INtk2rp0toaChjx46lY8eOnD9/nvHjxzNkyBA+/fRTBEHA3t6ezMxMjhw5wq+//sratWtZuXIlnTt3fmCfPj4+bNmyhVKlSrG2sDsnTwG1vSOSaMGrSmuQwKd2d0p0nCwbaN6FKSOBtKsH8K7RlYK+Oz0rt0ZQqNA4ed7ZrBJw8S9cAtyzxGyWDayrVJG1/tetk6s2UlLgwAG56qptW7nyqqCcPg3798OgQbIu+RPaQFgFtuD4fwC1Wl2oScjSpUvRPcy+1gqxGPWkx0agcfKk/OC5+LzUE0GhxLtmF1xDGwAgGrJIPrcNr7D2CIqC1VC6lW2I2tGD7OQYdKlF645u47/DjRs3AKhXrx7u7u7079+/QNcVL16c7t2789FHH3HzZv4GdtHR0XTo0IEdO3bw6aefEhkZmZtt/rzJ2UF39C9bqOsc/MtiTIt9aJuM68fQJ9/Cu0bnXIOVrFvnUKjsyEy48Xg3XMSoVHJWW0hIwdprtXIGua3E+/lRqlQp9uzZw4ULFwAYM2YMer2eXbt2Ub58+Qde17p1azZu3IhCoeD999/n9u3bJCUlceXKFQYOHMi8efOoU6cOPXv2ZO3atbla5o6OT99Y8lEICgVIEikXd3P9r4/vaIPfjykziWvLJ5J58wyuZerhV78fFkM2So2Wmxu+4sri0Vz+9Q2uLZ9A0qn1iKZ/5hEZkSceachrjWg0cjbMli1yluqDEARZ57hbNxg/XtZBvnBBvu6O/YmNIiIkJITWrVszffr03EV6VFRUrpEuwK5duwgKCmLAgAG4uLgwY8YMfv31V95//31iY2Np164du3bt4tixY5w9exatVkvXrl2Jj4/n5MmTDBgwgID8nKqeE4JShSRJJJ7ehCk7DbWjO1eWjCXm718wZeTVdI07tAw792L41u3z6H5VdgS2GotkMef6gijtHKym+iw/tmyBevVkuaO+fWHyZHlRP2yYfH74cLh5U85A3bNHfqe2bw8dOshZcTkGnjlERcltbYG4oqFkyZJ8/vnnBAQEMG7cOA4ePIizszNffvklu3btYv369SiVSg7f+4N4BEeOHMHDwwOFQoHJZEJhJeK2Tl7FsegzMaTGkBl1hlJdPsytWr69+2eiNs+4b4wCWHTpxO5bxPW/PsK9YjN86/S6r03S6U0Y0mLxrt4JAMlszO3LrLeONM3CSod5eclZpjkMGSJXc9wbZP/xR9vG8tOkfPny9OrVi507dxISEkLbtm35/vvvmT9/PtOmTSMkJITmzZvj7e3N/v378fPzo0+fPmzdupXVq1cTHh7OzJkzefnllwkICKB+/fr88ssv3Lhxg4oVK7JkyZLnrjcOyHrjkoijfznij64kcu003EIbUHHEMkr3+Ayfl3rhXasbAc1H4hRcA61XCdko9xHY+4VSrPFQRJOeK4vHkh1zGclieiZm8Y9LWppcMZUj9/nuu+DmJm9MnTwpSyQpFLB9e+H63bYNKlWSx7AtOG7jhSA5OTlf/dMHkZWVxd9//23VmSP3otRo8ShRiYRT64lY9T7mrBQkUUQXf51SXafiV38ASnsXks5sRu3oQfmhCyjZ5UOC2ryNW7lGsiTDPWhc/Qhs9SaixUxG7PXn8FQ2/i0kJSVx+/ZtfHx82Lx5M99++y3169d/6DWenp5s2rSJuLg4fv7554e2NZvNDB48GEdHx1yfAWtAFC1IFjNedyb2BcHeuxROgZVJOvOPTp1S64SdewBqZ++7NrYk0q7swzGgAkqtnIZiMWSDIJARZx3BcZB36ufNK9gk/+uvwdn56d+TjfxRq9WULFkyN0MN5GqqJk2aYDAYOHfuHOvWraNjx46UK1eOSpUq8eqrr3LkyBE2bdrEwYMHKVeuHKNHj2bHjh24ubmxcOFCAgICmDBhAq1bt6ZKlSrMmjUL9Z1fCNEKZpKSKCJZTERt+oZHSZ5IopkbG75AUCiIPbSM9OtHCWrzNsEdJ4Hw4Ixw0WJEodJg1qUjWV6c0ghBkBfzzs6y7vgnn8DdRQQajay7uH8/jB0LI0fKJrs5zJ8PVqjS8ULTsGFD9u7dy/jx4wF53Obn5WEwGFiyZAn16tVDo9FgZ2eHvb097dq1Y+PGjZhMJm7fvk3t2rX57bffkCQJf39/Bg8ezPHjx+nevbvVBOBMmckolCqybl1A7eDK9b8+Qhd7Jd+2WbfOE7NvIQFNXsev/oB857cAKkcPQvp+g713KdIijlKiw7u4V2yGS5k6VlndIUmyJnHHjnDw4D/HZ8yQj8+ZAwsWyBtUixblNep8FPPn2wJxRYFarUalUpGQkEBaWhrz58/n119/xWg05kqIJd2JzFgK8wPiH8NslUpF6dKlyc4uuC7w00SldUJl70J27BX86vXj1q65mLNTyYg8QeyBR2sTpF7aQ+LJdfjU7nF/4pYkknRyPR4VmyOo7rxIBAWCIBTaP+tpYDbLBvEFRRDk9jm2DvXrQ+3a+WeqHj8uewLYKHrc3d3p0qULf/zxB126dCEiIiLfdjt27KBevXooFArWr1/PjBkzaN5clh0pXbo0Y8eOZc+ePdy4cYN9+/bRs2dP9u3bx5w5c6xATuUOsgYRKJQkHP+L5HPbOPdDL1Iv78W5ZHUCmrxO8WYj8KraFnNmIqbMJHzr9iGo7Tuone7f+REUKjwqtiC0/7cIShW6hAiyYy9jzkpGUGmsdmPZbJY3nO6u0Lh0Cdq1gwoVZI+ONWvk44X9atXp5EouX99/h0+ALT/tP8DjZIFnZWVZlXbxo3DxK41oMXF79zxEQxapl/dSouNknAIrE3/kD/zqD8CvwUBAdiGwGLJQ2bug9QzEK6wDxoxEEo6uIu7Q73J/pWtTot0EREM2psxkvEqHoc9MloNvNmw8BiaTibNnz9KlSxc2bdrE9u3b+eSTT5g3bx7xd80ANRoN3bp144svvsDPz4+YmBiuXbtGdnY2p0+fZvbs2WzevPm+oFpsbCyrV6+mffv2Rb6gz9LpmL98Q6GvGziiPB5KFe7lmxB3YCn6pPyz3+/Gr8ErGDMSSQs/hHuFpnjX6IxT4D+ajGZdOklnNpF4Yi0WQyYKjQNuZV/GrEtHoXFAkiQOXYrh3Mkjhb5fkJ9Vqy66CLVKJRt/bdggG2/ml0jh4ABffSVntdl4MgwGAwfvjpwUAk9PTwBiYmLyHL9x4wY1a9akd+/ejBw5kjU5M8g75GSBjxw5ksjISIxGIz169GDNmjUMHjwYURTp0aMHv/zyCwsXLmT79u20atUKgD179hAeHv5Y92soopRkSRJJPretwJndxrRY0sMP41yiOpcXDCOlXCNKdnofizGbqM0z8r1G4+yDoLIj4dDv+NUvWOWMtSAI4Ocn//+bb8LEiXDjhpwRXqyYrF+8c6ds9Hdvxs0D1pw2HhN/f3+CgoIYPXp0bgJHfHw8/v7+ODg4PDRgZjTmlSEoU6YM+/fvz91cDg4Opk6dOowaNYphw4Zx9uxZypUrl1tF8jyRRAu6xBu4lKqJLuE66dcennWbEXkCn5d6U6zRa3jX7EriiTWkRxxFNBtQO3niUaklbuVeRjKbEC1G7Nz9Sbt6kKA241Gon9wouKgxm2Uzv7feyl+LOCf/p2tX2efjRiH3xyMjn/gWbSAHsEVRxNnZmZdffplVq1bh7u7Oxo0bmTRpEh9//DEl7pTglC5dmlOFcDouU6YMRqORChUqULt2bVbcvQv5HFGo7DCmJ+BZqSVxh34nPeIIAU1e59of7xW4j4Rjq/Gu3gnXsg1Ivbg7z7ms2xdRqO1QO7pjMWShcfFBEi1WoW2sUsmVGh99BMYCqLy0bClrG7/yiiynsnw5HD36jznnvWRkgI9P0d6zDdk4PisriylTpvDxxx/TsGFDXFxcyMjI4NChQ8yZM4dr164BcOvWLZYtW8b48ePx8/Pjq6++YunSpcTGxuLg4ECbNm0YOXIktWvXRqlUcuDAAatI+sjBpMtEUCjJjDqDZDZRrMnreId1zE2qysGsSyfp9CYSTq7Fp1Z3/Or3x7NKa1Kv7JevtZiwc/XDo2ob1A5uSKIFQaHEwS8U/4avorR3lV9OVuAFkB8KBcyde//xAwfkDarJk6HPnWKzgIC8QfRHUayYLFHWtOm/Q6LMFhz/D+Dh4YFKpco3s+ZBFCtWzGoyZgqCi19Jks9uRTRkodQ64VG5NfbeJVE7eeJZtQ2SxYQkicQd+p2k0xsxZ6XkXqv1Lol3jS4UazwU90otUKjs0HoEkBl1log/p4AkUf71hbgXL0fitRPP8SltvMio1Wp2796NXq+ndevWfPXVV7nmJ1u3bs2daDRv3hx3d3dUKhWxsbGsWrWKuLg4HB0dadOmDRs2bCAiIoJ+/frlBuVyWLlyJT179kQUxVzH8SfFIqjQuvjwOPZcmjvlZYaUW5Tu/SXhy8ZjSI5+QGuBgOYjcC/fmKit31P+tZ/RegaSEXmCyLWfYsyIR6HU4FwiDM+qbfF9qReZ0eewGLPxrNqW5LNb8azWDoVSRZVaDTl97uJjPa9W7VzkZXFKJTRpArduwcqV8NtvcpDc2Vku9X7tNTlAbuPJcHNzIzg4+LGvz6m4cMjnh6HT6ViwYAELFiygTJky+Pr6YrFYuHnzJtWqVWPDhg0MGTKEfv36ERAQwKJFi3jrrbfo3r07I0aMoFGjRixdupShQ4cCciD9+vXrZGVl4e/v/9j37Obm9tjX5qBQqki9/Hehrkm9/Dcl2v8PQakm9dIeohzdCWr1JgnHVqNPjMzTVql1wq3cywgKJRnRZ/F74jt+OuSs5+6d+ojiP9kwb74pZ6SGhMhZ40lJsiTDpUv592nLRi1aKlSoQHx8PBs2/LNZu2rVKr788kt69+7NL7/8UqB+6tWrR/ny5XnzzTcBOYv1888/Z+PGjQwZMoR33nmHffv2UaNGDasIjgsqNeaUFNxCGxC9/ceHtrX3KUPpHp8hGrJAEsmMOotP7Z74N3w1t40+KYrbO38i6exmVA5uhPSbicbVTw6MS5LVrXBVKrmyKr8pTUiIXJ01b54cqNPp5LFZGHKqOyyWf0fm2/NCkiRu377NwIEDqV69Ovv372fQoEHcvHmTDRs2UKJECS5dukSZMmUYNmwYq1atKlC/SqWSwYMHo1KpWLJkCampqVx60JfuM0ZAxJSVjMremdj9S/Cu0RmzPpO0qwXfpNcnRpIVcxnXMnXvC45L0j9eHZ5VZI1ji8lgNaa5bm5y1cZrrz3cRNPX9x+z3OrV5YC6TifPgR8US7USWfl/FSqViqpVqxIdHc3FixdJT09n48aNJCcn4+rqyqBBgxg/fnzunPall15i/PjxLF26lNdeew3TXfpTWVlZLFq0iEWLFtG/f38WLFhAu3btWLdu3XN8wrxkp8QgiRZEo55yr81DUKpIPL2RpFPr0SdHgyDg4BeKd1hH/F8ehEeVVoT/PoH4Iysp0e5/uIXWxy20PggCoslARuQxYg8sRRd/Ha1nEF5h7fF5qRcKpRpjRgJqJw/5/Wll6gupqfIaND/Cw2XN8EmT4PJl2a/j9OmC9ZtTPRkRAdZgoVQU2ILj/wHs7e3p3Lkzf/zxR4HalypVinr1Cud0/zxRqDSotE5kXD+Of6PX8K3dAxRK0q4eID3iGJ6VWyKajVxdMhZDyv3fDPqE60Rtnk56xBFKdZ2KPjmaywtHknXrfG6bxJNr8andk6TrZ5DEF6ck3Ib1oFQqczPXDAYDY8aMYcqUKXzyyScMGzaM1NRUwsPDEQSB5ORkRo0axerVq/Nsak2ZMoVatWoxffp0du7cSZs2bdizZ0/u+eTkZACcnJzw9/d/4rI2tVqNxt4J36Ayj3W9dGcH/cb6LyjRYSLlXp1D4ukNJJ5YmzsWBaUG9/KN8KnVA3u/Mtze8wt+9fpiMWRxcd5gdAl5Uy/TI45we+8CfOv0odjLgzBlp6HUOGA2ZqFQyytcVw/Px77nHJycnB7dqBDk6Ij36CHrpOZgMtkCaEWBk5MTQUFBT2xwmZaWRps2bR66aA8PD8+T7T1x4kRMJhPjxo3LPfbKK6/wyiuvALB792569OiR+w6uXbs27dq1Y8eOHVSpUoUnpSh+V836wumB52SZKzQOWHRpJJ1cj3/9V/Cq3onord/maetZtZ0s0yCJeFZs/sT3+rQID4fvvpOz2ZKSZNOwjh1hzBg5s8Zkko3+3nij4H3Wq2cLuBUljo6O3LhxI48kQ2RkJJs2bWLMmDEsWrSoQIkgb731FuHh4Wzbti332JYtW4iMjCQ4OJiKFSuyatUqvvjii6fyHIVFpXVGaeeIoFCiT3x4WnRgq7GYMpPQegZy/a+PSLmwE4Vaeyf4bSfrI6fcJkdCyaLPJGLVFMq9Oous2Cs4eJfC2lQ3U1LgQd5uw4fLC//Ro+WxdvkyNGxYOFOxhg3l7HRJso3VJ+X06dO0atWK3bt307ZtW0wmEwMHDqRly5YYDAZKlSqFJEm0aNGCihUrcv78+Uf22aNHDwICAvjmm28YN24cu3btsprsVNFsws49gOTzO7AYMlFqnTFnJYNUuOC1KSMRlfb+qsUc/XJRNONTu4fctpDv66eJQiEH1rRaePttuKfwDpDfg0uWyFng/v6yDFJKCly/DnEPsPNq0gQ8PJ7uvf8XKVmyJBqNBg8PD4YNG8Zvv/2Wp+JKq9XSo0cPPv30Uw4dOoSzszN//fUXAwcOzJNwVbNmTYYMGUJISAgajYbExEQWLFjA0KFDOXfuHNevW4ccrdreGUGhwLlENXTx1whf8W6uvwYAEmTfvsiN2xeJPbiUMr2/IqTP11xeOJLrqz+gRPuJeFRszs2t35F0Im/VqC7uKlGbZxCzdyFlen+JxtUXhVKNxsEFY1YaLxoxMfIG1tCh8MEHst/Oo+jRQ974cnO7P7HkRcUWHP8PYDabGTt2bIGD4yNGjMBsNqN6QVzhcrQRvap3xDk4jNgDS0k4thpzVjIelVujdvLg4s9D8g2M303alX3c2vkTAU2HYbzHPCXx5Dr86vXD0as4mfGRT+tRbPyL0el09xllpqamMmrUKNasWcMff/xBWFgY6enp1KtXL7ek7V6OHj1K8+bNWbt2LX/99Rfly5cnNlY2r7w7izS/7NfCEhoaSpUqVfIE/QqLJIo4B1fnyqJR+NXtl5v1bcpMRjTpUDl6oNTYY0xPwJSZjEupmogmA1eWjM1T4ZGnT7OR2H0LEU16ijcbjiEtFr+6fRGNepR2DgQGBj7RPT9N7g2E2wLjRcPrrz/aQKeg9OvXj/Hjx5OamoparaZTp06EhYXh4OBAWloaW7du5cCBA4AcrBs8eHCuhjjIsix79+5l06ZNHDp0KE+GW40aNXJlkVq0aEGLFi2K7L6fBJV94aSElHZyQF40yLNnSTSTeHoDPjW7Er3th9zAgFNgFYo1eo30GydxLVkT5+AaueWo1sSnn8plpXeTkQFLl8p/Bg+WM1NfeQUmTID0AlS0C4IcsPu3LBisAVEU852bTps2jT179jB37lyGDBny0MDZxIkT6d69OwMGDMiz2BdFkVOnTlGiRAkqV65MWloaGo0GhULx/ANxggJ77zvzh3uyujUuvnhV74h7xWaoHT1RqNRkRp/HmBZHyp0sVNGkv6+i426yb18gM+osKgc3q8saB9lgMz+Jant7ePVVOXM1R2Vq3jw5y9zX98GBt3sZMQLOnJFNPm08GQqFrIk9aNAgTCYTgiDw2WefAXKSyN9//82rr77Kpk2bWLNmDY0bNyY6+kEVhbIExM8//4zFYiEuLo7MzMw879vnjdmow97Nl8yoswCIZsNjSRPJG1cZ9x33qtae9OvHKNlpCmonD0yZiQhWKN3Qvr0cKFu9WjbN1elkObJXX4XKlSEzU96Ajo6GkiVlneNq1WRZsrR84ogjR9qSR4oaQRBo3rw5qamp1K1bN991pl6vZ/HixezcuZO9e/fi4uLCpEmTct+VtWrV4scff6RWrVrcuHGDAwcOYDQaKVmyJJ07d8ZgMNCqVSvmzJnzrB8vX5x9gkGSMGUmEb58ApaHbCwZkqMJXzaesoN+wq9+f27tmE38kT/wrNKa4s1GkHXzdL7vUXNWMld/G0e5V+eg1DiiUBWydOkZ4OYmb049Ssd/1iz5fbh0qTyeH2ZUXb68bOJpNMqbylY4dXgsrO/b1UaRo1KpaNCgAZMmTXpk27Zt2/Lmm2++MIFxkHftAZyDw4j862Ni9syXd+0B7xqdSLt2GF18wTRdE0+uQzTp8QrrkOe4KT0eiz4TlZ190d68jf8Mly5don379vjkI6C3bds2evTogZ2dHUOHDn1gYDwHg8FAr169UKvVuTINAF27duXGHbHNwsgoPU0kJLxrdMZi0HFr10+Er5S/hzJunCTl4m5i9v7K+Tn9iVj1HmonD5wCqxC9Y9YDA+N3E394ObqE62icvRHNJkSzAfEFMvuzYX3kbAx//fXXfPjhh9y4cYOVK1fSt29fWrRowfDhw9m/fz+nTp1iwIABfPLJJ9jb2/PNN9/g4OBA3bp12bZtGx07duTdd99Fr9cDcpbNL7/8woEDB3B2draqd6xkMeNWtlGhrnEr14is2xfzVFJlx1xGaeeIUuuE0s4Jn9o9KNP7KzKjz5J8dgsASq2zVQXGLRb44Yf7A+P38ssv8P77svzCxIkF63vgQAgO/vcsGKyBlJQUypUrh6ura57jBw8e5NVXX2XAgAFs2bKFxo0b33dttWrVWLJkCZ999hkffPABS5bcb5YnSRKSJKFUKnF3d8dgMDz/wDiy5jiCgGgx4+AXKh9UKAls9SYVRy7Dq3on0sIPYUi9jWgy4FisPImnN4JU8HtPPLkOrWegVWqmPujrsnJlWXrh7tyfhQvlxfpHHxWs7wED5EDd+fMPlnewUXCqVq3K2rVrcwPezZo1w9/fH1EUOXjwIG3btiUqKopRo0bh7+/P8ePHeeONN+6rgPL19WXy5Mns3r2bU6dO8f333/Pll19y6tQpKlWq9DweLV+yU+Vok2SR16L6hOtoXHzQeha8ik2hccCxWAV0CZF5jjsWr4xjsfI4+IXi4FcGsy4LU1YK6iKW/isKypaVZcfKl4eff5aDa198IcsttG4tewFUqyYH0StWlI9ZLLB16/2ygn36yMa6tiqOoqVUqVL4+vrSs2fPR64zb926Rbdu3VCpVFSuXBmQx/Lu3bsBaN++PaVKlaJv3768+uqrNGrUiJCQEObOnYufnx9du3Z92o9TIOzdfEFQELN/0UMD4zkYUm6RdGo9nlXaIKg06OLDybp9CSSRYo2HEtjqTSqNXE7V8Zuo8uYaQvrPxL1ic0SjjtgDS0EQEJTWM7/PQZJk6aNHceOGHBRv00be5AoLu7+NRiN7aB08KMuDKpUPfke/iPyLHsXGo5g2bRr+/v58+umn9xmOOTk5MXToUL788svndHdPgCQiWkwknlhLysVduYft3ANwLFa+UKYooklH8rmteFZpQ8ye+Xk/Jsfx2IaNx+DUqVM0adKEESNG8OGHH953vlevXty4caPAWm2pqaksWbKEYcOG8dlnn+Hu7k737t1ZvXo1gYGBpKQ8Orj8TJBE1M5eBLYaS9Tm6XhUbIYxPZ7ItdPuW7hn3bqInZtfobQaE46tJrDVm6jsHBBVGgRbmqaNJ0ClUjF//nwGDhyI2Wzm559/Zvbs2bm6wzmZN6NGjWLRokWyAeyhQ7Rv357x48dz6NAhDh06xEcffcS2bdu4dOkSZrMZR0dHTCaTVWW85SABHpVacGvn7Hwz1+5F41YMl9K1ubH+nvnCnfEc2PotXEu/hEKpJunMJqK2fkexRq8hmk0IShWSxWw1iweLRS4fLQiffy5njb/7LiQny9mpD6J7d9n8yArlm58Lp0+fZs2aNej1+sc2zAWYOXMmTk5O+W7+/vbbb6xatQo3NzdUKhW+vr65UmZqtZqEhATGjx/P66+//kDjzuHDhzN69Gji4+Nxc3Nj6dKlDzX5fBhGoxGtVlsk3h8KpQqzPguFSo1XWHviDq+gVJcpuJapR/T2WaRe3E1w5/ew9ypB+vXjuJSsgSE5qlCfob/jByKJZgSldX1PlSkjB8HvndY43yl4uaMoB8hZqGPHygG6lBR5vD7oR9Cjh9zu119lGYd/0wL/eaDVailWrBgrV67MPdazZ0/MZjMajYZRo0ZhMBioUKECK1euJDo6mvj4eH744Qe++OILdu3aRUZGBt7e3jRt2hRBEMjKyuKVV17h+vXrhIWFUbduXVQqVZH56jwpGTHheARVxM5N9g5JvbIPU1YKXtU7ylVUBcCjUgsUajuSTv/jTGnnUZxS3T5GtJhQaBzQJ0aScn4H/o0GY41r0YAA+PFHuZrjs89kc9yHLWe2bJHH3N9/y+3HjpWlWUaOlIPqhw9DrVrP7v7/C9SsWZOzZ8/mBrgfxcmTJ9m7dy/Dhw/n1KlTrF69mj179tC1a9fcxI+7CQ8PZ8yYMRw9epRFixaRkJDA3r17i/gpCoda64RozCblwq5HN75Dwom1+NbpjXvZRqRc2o05OxWzzgPXkLqYslJIObcdU0YCgkqDc3ANSnZ6D1PzkURtnoFo0mHv6oMuOR99oeeIQiFXMv7446MrHzdvlo1yGzSAEydkn4CNG+VqEH9/6N9fljz6t0oG2qYB/zGGDx/O8OHD+euvvzhy5AgWi4XQ0FD69++PVqtFEASEF2wl5+gdhEKpJuH46jzH1c5eAA8tJc0PXeINvMI65jmmcnRHpXXGYtQ90b3a+O+i1+s5evQokydP5vjx4/cFwdu1a8f8+fMLlaW2aNEihg0bRrVq1Xj33XcxmUyUL1+etLQ00vKrU3wOCIISJAnv6h1R2jmgsndDFxeeb0ab0s5BNgYshFZj6uU9BLUZhykrBZW9q1WWm9p4sahYsSIZGRm0bNmSY8eO5TknSRLbtm1j27ZtvP766/z000+kpqZSrVq1PO2uXbtGkyZNOHnyJO53XKWsMTAOgCQiKJQEtR3P9dVTH5ptKijVlGg3AXN2KikXd+Y5Z+cRiCSJOAdVI+7QMhJPrseclYyg0uBZrT2CUoU+6Sb2XiWe9hMVCJMJli3LG1h7GKIoB8inTYOvvpIDa99/L5vsGgzy4qNtW3kB0rKl3P4Fm049NXbt2pX7TjLk6F88Jg97txkMBuIKqqWRD3dfm5CQ8JCWBcNgMBQ4EPEgJNFCduxVFHYOqB09sHMrRslO7+EaUp+IP94jPfI4IX2+QesZxOVFo8mOvULYhC2FzgDP2VgWLWYUVhYcV6vlSoyZM/Mez7yTCHhPIQHz58ueAdOny5mqs2fLmaypqXLWW7t2spdA48ayQfaff8ryDzaeDM0dJ9Tku75UK1SogCAI7Nu3jzNnzuDg4MDGjRu5desWjRs3JjU1leLFizN06FBq1qxJUFAQqampTJgwgW3btrFx40ZWrFiR67ezZs0azGYzbm5uVpEEYjEZkCQRz2rtiT2wFMliIunUBrxrdSPx1Ab0CQ/XXlY5euBXt68cVM9IQKl1wqNya/wbDEQ0G7ix7gtKdn4PiyGLpDMb7wTHn/+mwN2YTDBsmBxIGzUKFi9+eGA8h5MnYcYMWatcEORsVA8P+djHH0NsbOHNdW3kj1KppGzZsrz11luFuu7nn39m4cKFfPnll2RnZ9OjR498A+N3s3jxYsLCwhg2bBiHDh3KY+L5zBEEsqIvIpkLPu8wpt7GmBaPV/WOBLQYidrBLfecUmWHJJpJvbwXY3occQd/w84ziIAmwyjZ5QN0CZGotUXrWVUUCAJ4e8veHe3b//PuzI/PP4f69f/5e1gYVKnyj89ozpj8NwbGwRYc/8+hvPOb3LFjRzp27IggCIiimDuheRFx9AwgM/ochuR7NOtyMwoKtzoVBAEEAbWTJ6bMJAA8q7ZFEi1kJT1YF8+GjUexc+dO3N3dWb16NZ9//jmzZs3KNc10d3fn1oOspB9AzrUzZ86kTp06fP7550yePBmTyYRKpbIOaRVJJOXSHtIjjhDUdjyCQvnAzHCFxr7wxoB6WfM4I/IE7uWbWKWecQ5m8/2ZaTZNReujTp06NG7c+L7A+L3MnTuX4sWLM3HixDwGgTncuHGDmTNn8v7771uVjMq9KFQaRIsFt7INKdX1Q25unpGvrJHGxZcSHSbiGFCBq7+NQzIb7zor4F29E6JJz8WfB+dKmwF4V++ESuuEJFqI+PMDKr7+61N/poKgVkNh45Z79vyjIV6jhhwEWLgQsrPljDmlUh7nYNMav5smTZrkZo4/6XzTyckJQRAwmUwkJyfj5uaGVqtFFEWys7OxWCwIgoCdnR12drJJc0pKyiMzwD09PdFqteh0OlQqFUqlksyHrSAfQU7meH4SL4VBUChJOr0Bt7IvY85Oxd4rGLfQBiScWENa+EF86/bFwb8sVxaPITtG9jcwZaXg4F+WlPPbC/w5Dv5lkSQRhdI61wPjx8vjLSnpn2Pnz8veAF26wOnTedt/+62c8TZ2rBxU/+GHvO/bxERZvmHvXjhyJP/3s43CkVOpcbfskVqtRpKk3ISQPn36EBgYSLNmzUhNTQUgOjqaDz74ALVaTZcuXWjZsiUNGjSgevXqrFu3jpEjR9K8eXM2bNhAbGwsbm5u1KpVi61btz7zZ8wP0WzEzs0P1zJ1SAs/SOzBpbiUfomQPt9wbcW7ZMdezvc6jYsvZfp8hdLeFUEQKN3zM5xLhIFCSerF3URt/ZbA1uOwGLMxpsZgzk7DmBaP2uV+ecbniVotZ5Pu3QslShTODHfuXFnWLMc7YM4cWYoFZH3k4sWfyi3/59BqtSgUikIbZeZIdXbo0IFPPvmErIK4NALffvstY8eOpXLlypw4caLQ91tUiKIZsRCB8RwkRBz8y8qqBJf3YNFnotQ64V62EV7VO+HzUk9urP+ClPPbMSTdJGLV+wR3eBf3Ck3QZ6QW/YMUASqVHPQ+flyuzli2TM4GBznw3bKlvFF1rxWSUvnvDYTnh20a8B/FajPYHgOVnQPZ8VfuO25Ml3XgHHzLFKq81N6njGwiWKI6yee3odA44F29M5kJN3P1zW3YeBxEUWT16tVMnDiRcePG8b///Y8tW7Zw8+ZNRFEstImmvb2sgf/SSy8xbdo0xo8fz549e2jUqBGOjo5WkT0uKFUkn92C1rskSBLZsVfRPiBzVDRko9IW0hjwjpFgdtw1PCo2Q7SYELCut3hO6dmuXfICff9+eZFeqhQMGQKDBsk78baF+fPHYrFw8OBB9uzZU6D206dPZ/z48eh0+VcVzZs3jylTpgBYrayKaDYhKBQIggLnkrWoNGoFqZf+Ju3KPiyGLJT2LriXb4xrmbqY9Rlc/e1tsqLP5enDNaQedu7FiFg9NU9g3L1CMwKaDkcSRXSJN/KcswYKm8R8d8JUzmJBoZCzVHOwjeP7qVq1KoIgEBMTQ926dZ+or7fffpu0tDTs7OxwdnYmOzubkSNHsmrVqjwZahkZGVSsWJFvvvmGZs2a0b17d9asWZNvn1988QUTJkxAFEUuXbpEcHAwCxcufKIs9IMHD+Lv70+VKlUeu48cjOnxJJ/dSnCnySScWIt39Y4kHP8LBAVe1TuSfH57bmAcIPnMZjyrtef27p8LnDHnXb0Turhr2PuWeeL7LWoUCtlgc8sWWQs1J6k/M1MOmL/+OnzyyT8bUzns3y//KVZMzhJ3dZVNyT78UH7v6nSyfIO3t23cFgV6vZ74+Hi6du3KihUrAMjOzkahUJCRIUt2jRw5kg0bNuTRPFYoFEyYMIGxY8fi5+fHyZMniYuLw8fHh9q1a2M2m5k3bx41atTg5s2bxMfHExYWxs6dO60iCUQSLYhmEyU6TuLKotHoEyMJ//0dSvf4lLKDZpMefoiEE2vIjr0KkgU7zyC8wjrgXq4xolFH1q0LKLUuiMZsYvcvIfH0RsxZyTgH18C9XCNAIOvWhTsfZsnj9WEtKJWy1FhUlLwplUPFijB8uByUc3GRN7MOHpQD6GfPygadhw/D1auybNnd2Cqvio6cBI7Cbk7nzFlVKhU///xzga+7ceMG27dvp3z58s83OG42YederICtBVSO7ii1zqjsXYndv5jY/YvztMiKOsvtPT8T2HIsJTu9JyeAXdgJksiNDV/iXKoWam3h1vLPEpUKSpeW5cRmzJA3mE0mWbqsWLH736H/RWxTARsvPCo7exSq+wMOxrRYLIYsvKp3yqNF/jCUdk54VGwuZ447e6FQ21Oq+yco7V1IvXykqG/dxn8Qe3t7VCoVvXr1wtfXly5duvDSSy+h0+lo2bIlXz9MyPYeWrRogSiKZGRkMGXKFP78809++uknGjVqlFslYg0YMxIJbDWWlIu7STqzidB+M3AKrEJm1Jk87TKjz+Ia2oCobd+DWDBpFbdyjZBEC7o4eYPM2mShLBbIypLL2O6V3jt1Si5BnTIF1q+X9RVtC/Tni1KpZPbs2QVun5qayrJly+jYsWO+52NiYrh48SJnzpzhpZdeIigoyOoC5IJS1m81pseji48g/foxvKt3xKNis9w22XHh3Nw8nZTzOxFNeTcC7P1CCe44ifTrx0i9uAsQcA6ujnfNLriFNkAULQhIZN48hYNvyDN+ugdjsUBQwT3TgMK3t1G0+Pn54ezsjLOzM8eOHaN06dLUr1+fS5cu5dv+/PnztGvXjt9//53ly5cTFhbGxYsXAfld0axZM8aPH0+rVq0AOUjn7+//xIHxokZQqkm5tIeAFiPxqNSS7LirGJJu4lL6Jexc/bh+PG/QP+HkOnzq9MKnZhfiDv3+yP7dyjdG6xlE+O8TKNn1QxRqrdVJlKlUcmn35cuyTMpPP8HNm7KG6htvyKXg48fnf+3t27J8ioODXP2RmCgHBsqUsWWMFzUnTpyga9eu+Pr6EhcXx/nz56lfvz5eXl4UK1aMsLAwpk2bltteqVSybNkyunbtyk8//cSPP/6Y6/EB4OXlxaBBg5g4cSIHDx7EYDBw9uxZqlSpQsWKFTl9b8nA80BQIJmNKNX2lB34I7d3/0zS2S1cWfImHpWa412jM2V6fZHnEtFkIP7oKuIOLs3XKNA1pD7Bnd7DkBqD2tGd5PPbEJRq1M5emI1PJk31NFCrwdNTDnKDHGhbuBCaN5flUdaskSXM3N2hY0d5zO7eLRvipqb+4x+Qg4+PvCFmo2gwGAxkZGTQoEEDVq1aVeDr6tevj9lsxmKxFLq6OTw8nAoVKhT2VvMlS6dj/vINhb6us+BD7YZNsfcNQRd3Nd82Kgc3PKu2xSusI3ZufrnHPSq3wqLPJOncVkTDPxnzoknPjQ1fgEJJiXb/IyPyBObsVKQ7/nc+dfqw+K8dGA0Pl595EFk6HVp14RLFCkNOeMDFBe7NVbC9C8G6Zj42bDwGSrUWx+JVEBT3j2hTVgrOJarhWLxygfryrtVNDhRIEv4vD6b8sIU4BlQk9sI+TLpHG5XZsPEoFHdq7TMyMpg9ezYtW7akRo0ajB07lhYtWlCmTMGztkaOHAnIkizJycmcPXuW0NBQRFEscOnbs8AxoCJ27gEknlyLICgQLWZ86/S5r13i8TVonL1wC21Q4L59anYj6/YllBp5pz6/74HniSTJmW4P86RJToZWrSAyUg7Y2Xi+FDbL5cSJEzjfu7K7C71eT0ZGBnXr1uX27dvPV38xP+5IkN3a9ROuZepg516MCz8N5NysPugSIrHoM0m9uJu0qwfyBMbVTp74NRhI2QHfo1BrcfANoeKIZVQZt46Qvt/gUqo2kiQhAJm3LuFW9mW8qndGslhHaoogyJUbheG11+QsGxvPh1KlSpGZmcnFixepWbMmY8aMeWBgPAeLxcKAAQPIzs7mxIkT7N69m23btnHjxg22bdtGkyZNkCSJpKQkVq1axQ8//GBVgXFJtOBcohqSxUj84RUo1BpMGbK2iL13Scy6jPtkG4ypt0k6s5liTV7Ho3Krh/bvXLImwe0nknJxN+kRR0g+uwWpgJvTzxq1Wg6uTZgAN27IxmKHDsmZ5W+/LUupODrmf21QkFy9Va0auLnJlVtgCwYUNadOncJsNjN37lwUCgWnTp1CEAT69OmDp6cnAFFR/1Tzzpw5k86dO9O1a1dGjhyZJzAOkJiYyFdffUXNmjVRq9WEhobmtimqwNuToFTbodJoUWjsSb95CoXGnuItRlF5zCqCO0zEwS8UXUIkJp3sgpcde5UbG7/GmB6Pb51elOgwCdeQemi9SmDvXQrPqu0oN3gepXtMw5ASg9rRg6QzmxGNOtzKNUKpcSAtJvw5P3X+KBTy+AwKkrPDy5aF3r3lv7/xBkyaJGeRlyghm1YHB8vj19//fpPA116zZY4XJZIkcfr0aQYNGlTgKmWVSsWIESOIi4t7rIQrlUpVKB+tB2ERVGhdfLConQv9J/p2LKLFjE+tbvn27VauEZVG/o5/g4Fk3DjBtZWTubL0LSL+/ABd3FWKNx9JpRHLcAqqdt+10dtlw13Pqm1zjyWf24pSpSYwtMpj3a9F7YzWxQeV9gEvMhtPHduUwIZV8Lg7gho7Oz58uTdqRzfcyr1MysU9uIbUxataO+w8glA7umMxGSjV/WPCl42XjQAfgGeVNhR7eRAx+xeTcPQPAluPw61sQzas+o0Du7Y8yePl4WnvCNqwbnQ6HaIoUrp0abZv305YWBje3t4kJCSQnJzM9OnT6dy58yMnFMOGDSM0NJTTp08zYMAAhg8fzvjx4xFFkZiYmCc2PSsqJNGCc8kaAGTHhlNx+FJEkwHXkLoUa/w6t3fPzW2rS4ggI/IExZuNICv6XK7m/4Pwqz8ArWcgMfuX4FmtvdXpjZtM8McfcODAg9toNNC3L4wYIWex3Xu9lSUZ/yco7GReFMXcTa97EQSBgIAAtm3bRkJCAiNGjGDDhsK/654mOUZ86deOcHPTNwS2ehPHYhWIP7KCK0vGEtB4CH71B+DXcCBZ0eex6DNQOrjiFFARkMtWFQolCjsHlFonQEA0mxGUaowZiQiCQNSW6VQY8gvq0Pq5n/e8USjkMdeyJRREurZUKdnIz0pu/z+JVqslNTWV06dP4+vrmyvd8Cj0ej0//fQTb7/9No0aNco9bjabOXPmDEeOHCE+Pv5p3fYTISiUeFZtR3rEMfzq9QdJQqGRJdUEld0D9VSTz23Hs0obgju8i1vZl0k4/hcZ14+RY+bnGFAR7xqdca/QlPSII0Su+xQAfdJN2UjbiskJaN+7JzlqFAweDL/8Aps2yVVbvr5ydmr79rJJri0Y/nTR6/X8+eef9O7dmz///JPVq1ejUqkoX758rsRQjiRgUFAQw4cP55133mHt2rUP7ff69et06NCB06dP50pEBAUFPXd/HWe/0kiShC7uCqJRR3bsVSJWTsYrrD1OJcKw8wxCNOpIPruFxBNrc2U+U85vx71CM7xrdqF0j09z+5MkkfTwQ+hUdmg9A9AlRHJ79zwQlPjU7oFkMZMRE/G8HveR+PjA9u1yRUbDhnLVxr2YzbBqFezbB3//LUuv3F2w5+EhG+ba3rVFy7Fjx6hXrx7vvPMOU6dOfWT7UaNG4ePjw7Rp05g8eTI1a9Z8pBfP3dSrV++J5T3VajUaeyd8gx5P7kvQ2KNQqvCs0prM6LMknfpn/u1WrhElu3xAyoWdRG35Fos+bxJk6qU9qJ08KdHhXcr0/pLwZePzVDxbdOmkXNiJV1hH4g4uAyRMmbJ0oG/xkqRlP1kmhdPden02nhm2KYKN545K64gWHx4nT8V4ZwKvS4ikWJNhBDR9A42LD5nR50m7/DcKrTPeYe0xpccTOuB7Ek+tJ/HEmjzmnU4lquFdowvu5RqRcGItMXt+ASSu//khwZ2n0KpjD06cOkPWExgz3Y1W7WzbEfwPYzQaCQ8P57333uOdd96hVE760h3atWvH4sWLGTx48AMD3EOGDGHWrFkkJyfTvHlzEhMTGTFiBLNmzWLHjh3Y29ujVqutI0NVUOASXB2Asq/OQuPsSeat8xhTY/Gr1xd7n5LEHV5B5o2TAESu/ZSyr84i9JUfuL56ah4d1RwUGnv86g3Ar15fAEwZibjU6ysnwIqi1QTf1Gq55PtBeHnBunVQuzZs3iyXmp44IS/gy5WDYcOgWzc5sdcWJH92lCtXjitX7vexeFh7k8nEwYMHuXbtGj///DO77zg9tmrVCn9//1yt482bN3Pz5k0CAgKsSvoIwCmwCokn1+FWrjFOgZUp2XkKZn0mpowEjJmJ2Ln641i8EqbMJHRx4URv+wG1izd+dftyc8tMtO7FUTm6IYkWjKkxZNw4RZleXxCzbyH6+AjMugyUdtb17jObYelSqFMH7pLAvQ8PD3msWiy2BfvzxGQy4ejoSPXq1Vm6dGmuAWBBWLx4MRMnTuSVV17hwoUL9O3bl6FDh7J+/fqneMdFg0KtpVT3j8mIPImDbxkci5VHae+CRZ+Byt4FQalBstzzbyGJCILArV0/4V6hGSF9vsKsS8eiz0ChcUDt6I4++Ra3dswm/thqkO7MwgUFOQH0F40c/f/hw+XgWg4mk3zONnafDVevXuX333+nW7dutG7dGqPRiMVi4aOPPiIjI4MmTZqwZ88eXn/9dTIzM5k7d+6jOwXOnTvH5s2bGTx4MCAH2X19fQst91CUOHoVR6FUkXJhN/6NBpF+7TCmzERi9v4Ke3994HWiSU/S6Q0knd5ApVEryYg8QXrkMVxK1sLBtzRqRzcAdLFX0Lj641OrKw5+IQiCAoVSiWh58ozcp4HZDCEh8rw2v8D43cTFQc+essRgjl+yu7u8seXlZcscL2pSU1M5evQoH374IampqXz77bcPbDt48OBcmc8ZM2bQr18/hg8fzmuvvVagz6pfvz6VKlVi0aJFT3TPoaGhVKlShXHjxj12H5JoRpcQSYm272DvVZL4IysRLSaCO0wi5fwOItd+yoPeeabMJK4tn0jpXl9QsttHnPuhVx4fj7TwA3hWbSO/j3VpKNRaANq3b//Y92vj+WILjtt4rsi7Yv5P1EdaajJKow6tVxAZEce4tnJyHl0pe+9glHbOJJ5cj1e1tvjW7oE+ORrRqEPl6IbG2RtdwnVubPiSpNMb7+pZImrzdCqNrk+TVh04evToE93nvdh2BP+b+Pr64u/vj1arZdmyZQwaNIiIiAhKly7N/PnzKV26NL169aJFixbMnTuXpUuXEhcXh6OjI61bt2bMmDFUqlSJiIgIateuTVLSP9nV586do0WLFhw7dozq1atz+PDh5/ikMpJoQWXvgiRa0Dh7c2XJm2TePAVA6qXd+L88mNB+MzCk3EafHAUIsq6iowflBs0h69YFks5swpiegEKlxqlEGJ6VW6FQa0m7ehDnkjXwqd0dyWxCl3QTB5/Sz/V578ZolM3A8sPRUQ6IFy8uB+bu/XqJiZFLwEuVkk3ISpSwBcifBWazmTfeeOORWWw52NvbM3DgQC5fvsy5c+eoX78+u3bt4sKFC4wYMYIxY8Zw4sSJ3LEoiiIrVqxgzJgxVhUc1yfdxKt6J7JjLuNcohrR234gI/I4bmVfRuXkgUKlISVzB8kXdmBIvJHnWpdStXEpVZtbO+egUGvv6KcKhPT5EmNaLIkn5H9LyWKymo2rHFQq2aTvyBEYNw6WL7/fdLNdO5g+XR6DtqzT50tMTAzu7u5IkkRMTEyhrwVy5VW6dZPLrB0cHMjOicxYK6IFXXwECcf/olTXDxEUKjwrtybt6n4CW47BvXwjks9ty3OJMV2WhjGmxXFp/hAcAyriVKIaSjtH2QTw9qU8meQ5OPiG5Mohvajc+660vTufPVevXuXbb78lLCyMRo0akZmZSbFixTAajQwbNoxPPvmEvn37snTp0kLJAM6ZM4e1a9dy9uxZKleujJ2d3VN8ikejtnfGYtTjXbMzAgIKVeEMD0GuDnEqURXPKq0wpseTdvXAHTNsZ9xCG+IV1gFRtKBLuI6DT2lEK5Emyw9BkN+nBV0ynz4tyw4OGwZ+fvDWW3L2ue1d+/TQ6/XMnDmT3r178+OPP/LHH3+g1+vRaDR07tyZESNG0KhRIzZu3Ejbtm1RKpXMmTOHDz74gG+++eY+6aN7USqVTJ06lfj4eK5fv/6MnurBCAoVdu4BxOxfjE/NbnjX6ooh+RYSEje3zORRm8GSaObmpq+pOHwp7hWakHxmc+45i0GeOyg19lh0abiUqvUUn8TGs8D21WPjufL6668XST+Si5u8+7fuM5Dy7qbf3PAloa/8gFNgZYxpcUiimYzIE7mL+PTrx3KDdfdi0WeQcmEHDeq1oGHDhkVyrzb+u3h6ejJgwACuXr1K+/btuX0nraJs2bKsXLmS5ORkWrZsSXJyMp999hlvvfUWkydPzr1eFEXMZjMTJkzgq6++yvczzpw5w6pVq2jSpIlVBMcVShWSKCJZTFxd+ha6+H+kjVIv7yX18l6cgqriFdYR9wpNyY65TPK5rSSd3Yqdqx/eNToR1Obt3GtMWcnEH/uTxFMbCO03A0k0o7RzRKG2IyvqFA4+JbEWO42HKdu8+66sx1i/Ppw58+B2ERHQqJGcUe7tbct8e9qoVCpatWpF5cqVOXv27CPbDxkyBGdnZ7p27UpkZCQAjRo1YurUqWzbtg21Wk2PHj3yXJOcnGxVxrGSxYzFqMO1dG2KNR6CaDaSdHYLaidPVA5ueFRqiUorb+b6N3gFXWIkicfXkHR2C6Ixm9Qr+/BvMBC3kHq5fYpmIxZDFuHLxmMxZCIoNSi11iknplbLAfJff4WZM+Vy78RE2ayoUyfZWMxm2mcdXLt2jcTERNRqda40Q0HJad++fXu+/vprgoODAZgwYQIxMTGcOHGCM2fOWI0k2d0IShWpV/ZRuvvHZN48jVOJMHzr9iH18t9k3b6IT91+ZN26gDEjAcksZ5AbU2PIuHkKr7COpFzYSdat82TdOv/Qz1Hau+BeoRkKpe2X/b+KwWDg4MGDRdbfzp07CQgIoGzZsmzevJm6devi5+fHuHHjKFasWK5BbkHJaX/w4EEqV67M8ePHH+k78CCKYqwrFEosJj1qR3ckJByLV0JQaXLH4T8NlbiFNsAxoAJKjQMWQzaZUWcwpNxC7eSBKTOZa3+8R9rVg/9UcQDRW77DrdzLFG8+Cju3YujTk7Dmyg6lEubPL9w18+fL799atWSpQSuaHlkNp0+fZs2aNej1+icanz/99BMWi4WMjAycnJyws7PD09NT3hAVBPbv38++ffswGo1kZWXh4eFBeno6X375JQsWLEChUDxSysjFxYWBAweSnZ39RJJHRqMRrVaLJD3Z77toMYMk4lqmLjc2fk2pLlPQuHiTdDav0eZD7yU1hvRrh/Gu0SVPcFzl4AaAxSCrC3jX7IpkMSPY3qEvLLafnI0XHkmSMGUmcWP9F/cFxkHOiLv62zhK9/wcjbMXkes+J/ns5nx6yp/US3vwqtqmKG/Zxn+Utm3bEhMTQ7NmzUhJSQFAo9GwYcMG4uLiGDhwIG+88QZ9+/ZFq9WSnp6OKIo4ODhgMBhYu3YtYWFhvP7668ycOfOBsimzZ8+md+/eBAUFcfPmzWf5iA9AIv7oqjyB8bvJvHmazJunUWrscQioQOKajzGk3EIff420q/sRVBpUWhdEs+FOVqpE8Raj0bj6kRl9HosuHZdSNbEY9RgzErFz9cv3c541jo6yJmrGPV6+Gg0MHSovCB4WGM/h9m349FOYMePp3KeNvIiiyKZNm2jYsOFDs17atm3L119/zdy5c3MD4wB79uyhefPm/P7773To0OG+hbubmxsWiwW1laQzCkoVDr4hZMddw71CM1Kv7MW7eieKNRmKWZdO4ok1pEccRTTpUTt54lGpBcVbjMK/0WsY02Jx8JW1IEWTAYVazuIz69JQObgT0nc611a9h51bMRQq63je/MhJ4ndzg1deyfUozc04tQXGrQNJkjhx4gRNmzaldevWTJkypcDXvvfee1gsFnr16sXvv//OmjVryMjIwNPTk969e9OxY0caNWrEihUrrOS9KSNJEsb0ePzq9CEt/CARqz6gTJ+vcQqsTIXXF+aOuYrDl2LRZ5J0dguJJ9agT7pJ4vE1lOzyAU6BVfJopT4I39o9EayoosXGs8XNzS1306io8Pf3p2LFinz//feMGDGCXbt20aBBA7744gsMBkOhN4pz2iuVSvR6PUajEX//x69Ajoh4cv1uhdqOzKhzuJSsDmot7uUak3xONrIQFCp86/XFu3on1E6e6JOjsRiyUGmd8a3TC7M+E9Fi5tKvb2BKv9/3QBLNpFzYSWbUWcq+OgulWgsIWHOA/C6/1UK1f+01WLKk6O/n38CuXbty9bufZFMn464Fif7uMrkHcLdkUUF9OVJSUnLXuE+KwWDIlSl8XAQg8cxm3Ms3JrDFKECWKku9vLdQ/aRe3kuJdhMQFCokUQ76e1RsRnbsVSz6TDwqtsDRv+wT3auN549tum/jxUeSSDi+OveLKj90ceFcWTKWSsOX3me48CgK296Gjfzw9vbOlUxJSUlBqVTSsGFDunbtSunSpfnwww/Ztm0ber2effv2UbZs2TyLFK1WS9euXRFFEaVSybfffsvbb7+NTqe777OOHDkCyAud573Il0QLCAKJJ9c9sm3k+s8p+8oPhL7yAzfWf0H6tcOAhGQ2YspMBEDt5EmxxkPxrNKa23vmY9FnEthqLKLFJJuUFYEzelHSv39eoyGALl3kstF7jz+MhQvh88+hkMmSNh4DlUqFj48Px44d47PPPmPBggV55IvKli3LiBEjGDFiBOvXr2f06NH39WE2m+nXrx8XL17k7bffZtCgQYC8sO/SpQsaTeFLr58uIgq1/MulcfHFo0JTYvYvJnbfIiRL3k24tPBDBHecjEfFpujiMohY9T6pVw+AaEFQaXAv3wTvGp3ROHtjMmYT0vtrjOnxSFbkB/AwCrtnkV9WuS3T/Olx+PBhKlWqRK1atQpsENarVy+GDx/Ob7/9xujRo0lOTs5zfuXKlRQvXpwlS5bQv39/Fi9eTFRhIzxPCUm0YM5KQe3gxo0NX2LvUxJ7ryAEQUHa9UMkn92CMSMRhdoOl+AaeFZrj0+tbtzeM5/Yg7/hdfPUHVP6CWTHXn7g53hV74Rf/f5IosgLrali47FwcnIiKCiIoKCgIu23Zs2aZGVlMX78eDZv3szy5cvR6XTMnz+f119/nbCwsEL1l9O+Q4cOXLlyhZCQkCe6v5SUFBSmx/eUEkUzSpUGhUpNxs3TSGYDfvX7k3b1AJJoplT3aTgFVibp9EYSTqxBn/DPhru9Xyje1TvjWaUVgS3HcH311PvetzmYMhK4vnoqZV/5AQd3P7JTCicr9SwprNJNTvsnTBD+V9OkSZPczPEnmT86ODigUCiIi4vDy8sLpVJJeno62dnZ92Vo29nZ4erqilqtJjU1laysLARBwMnJCUdHR5RKJZIkIUlSrim9xWJBoVCQmZn5xBnfOZnjjRs3fqJ+JOSEjUu/Dieg6Ru4l3sZQaHKzfYuKHJylux7ZdFnoHH1w6VMXQwptwls8zZeVduSfHEXWo9A7H1KW1WFaH5IkrxkliRISpIrNjw95XMKxX+3gsM2dbfxwiMoFCSdeXQmuCkjAaDQpd3WWgpu48WiRo0axMfH8/fff/Pee+8xbNgwihcvnnv+ww8/JDMzE5VKRaNGjVi+fDkDBw4kMjISjUZDw4YNGTVqFNWrVycmJoZhw4bRq1cv3n//fWbNmpXns3LK2BRWEIgSFEqy465hTIvNc9zOIxDnEmEo7RyxmHRkx1wm+/ZFriweTckuUynT63MMqTEkndmEKT0BQaXGuUQYbqENES0morf9iMbdn2KNXiPx1EY8q7bGzq0YaifP5/Sk+TN2LPz0U96YfeXKcOMGXH5wnOI+0tJkHcdGjYr+Hm3cj1qtxt3dnc8//5xp06Zx5MgRMjIy8Pf3p1q1asTHxzN16lQ+/fRTxAdsyBgMBubMmcPUqVN5++23cw10Q0JCHnjN80JQqNC4+YIk4VS8IjF7f5UNxfIhsOVo3Ms3InLNNJLP59U5lsxGks9uIfnsFnzr9Cag6RsYUmOxc/P/1618LRZISZE3uRYulLPftFpo3BhGj4bmzeU2tkTcosVisfDrr7/y1ltvMX36dN544w1ee+01unfvjre3N2azOdcYd9GiRbi4uLBo0SIWL17MK6+88sB+o6OjadmyJdu2baNHjx589913T1QSXnRI2HkEkHJhJ2onT0L6zcSQHM3lhSPve69m3jhFzL5F+NbtS7FGr+FUohrG9HgcAyoS+sr3JJ3eQMKJtXcF6ARcStXCu2ZXXMvUkY9YwbzBxrOnqGQu8yMqKgqj0ciePXuwWCzMmjWL9957D3t7e/r06cO4ceNITU0tUF/Dhw8nMjKS4OBgfHx8qFKlyhPfX9zNcDA9XiKUMTsdexcvlHaOZNw8RcKx1ZR95QfK9P4Ssy4dx4AKhP/+Dpk3T993rS72Cjc3fknqpd2U6v4JQW3e5sb6zx/4WVnR58iOvYpLsTJWGxw3meR56l9/Ffyaxo0hORlat5avt5KiOquiatWqCIJATEwMdevWfex+goODefXVVzlx4gTBwcG8/PLLD/TvMBgM6PV6Nm7cSOXKlencuTObNm0iIyMDnU5HmzZtKFOmDHZ2diQlJVG3bl0GDRrEunXrOH78+GPfYw4HDx7E39//ice4gIBjQEVi9y0i8q+PkDq9h2fF5qgeMx4kGnUIKjuCO72HRZ+BMT0e77AOiBYzxnRZ2szeOxgE6w2zms0QGwvffgu//CKPPwBfX7myefRo2Yj+v5jk8R98ZBv/NiRRxJyV/Oh2ZiPZMZdxL9eoULIq7uUa2fSjbABPpsXYpUsXjh49ypEjR/Dw8GDp0qXMnTuXS5cuoVAoqF69OsOHD6dbt25cvnyZSZMm5WqSA4SHh7NgwQK6dOnCkiVL2L59O5GRkfz444/4+/vz/vvv57YtU0aWOTh+/HhuFvnjPGtRIRr/0XRzKVMXn9rdcQmugSRasBiyUWi0KJRqsmOvkHBsNVeXvkX5oQvQegbh32AgguJOdoJoQVCqECSRgOYjEI3ZRG+fRfyRFagd3XHwC0V4DDOkp4VCASEh8P33MHLkP8ft7eFx/N8K4VllowgQBAGlUsnOnTtJSUnh5ZdfRhRF+vbty6pVqzAajY/s45dffuGLL76gXbt2rFu3jm+//ZbMzEwcHByewRMUHEk0I0hg1mdithiJ2bco33YOfmXxrtGZm5un3xcYv5e4Q7+j1DrjW6c3guLfFSEWRVi/Hvr0gbuLd4xGWLtW/tOypRwg0GhsAfKixmg0snLlSvr27cv58+dJTExkyZIlREREoFKpqFevHjNnzuTzzz/n6tWrmM1mRowYUaB+hwwZwpUrV6hQoQJnCqJ79ZQRBAUqrTMpl3ZTsvMUjGmxXP1tHKIx/5eIZDERu28hksVEQJPXMaTGEHdwGQq1PZ6VW+JdowvG9HjZlN7BDZWDK2Z9BqLZKGeou/hYfcabjReLHNPMTp064erqyty5cwF499136d+/P+PGjSuQRFL9+vWfOIu0qDHrs8DFC+684wzJUYT/PoEyfb7C0d6FiFVT8g2M3016xBGiNs+gRPv/EX/kjwdKEAIkndlI8RZjQFDkKyX6vFGrZXmUyZMLNs/VauX2v/8OQ4bYAuNPm8jISDIzM6levTo9evTg/PmH+1Ckp6fTsWNHIiMjWbduHatWrWLWrFns2bOHdevW4eLiwoABA3jzzTcJDQ3FZDLh5OT0jJ6mYAhKJS6laqNx9cOYFkvsvoW4l2uMW7lGpEcUfI3sXr4RWbcuYOcZSFCb8dj7lOLqb+PIvn0Re5/SlO7xKT41OpN65QDWXH5lNsOuXXIV873ryrg4+OQTmDULNm2C6tX/ewHy/9jj2vg3IigUefSfHkbCiTUEtR2f+wWZYzZm51kchUKNWZcmGxzdkp2YlVpn3Cs2twXGbTyxFqOrqyulS5fm2rVr1KlTJ0/gG2Sd4j179lChQgU2bdrEzp07GT9+PBaLheTkZE6cOIHJZGL16tX07NmTtWvXMmTIEMLDw/nyyy+5cOECy5YtA2STwPT0dGJjY59Ii9HNze2xr70blb0rAMUavYZf/QFkRp/j+ppPSL20Ry4hFRRy9lr1TgS1eweXUrUQlGoMaTHYufpj1mWQdHoDuvhrAGi9SuJZrS1qBze03sEIChWJpzdQOuQTRCvbyFIoYMQIWUbl/fchPl7WIQ8IgNq14eRJOVOmIAQEPN17tXE/o0aN4scffwRkuaKTJ0/mjrOCkJiYSEZGBuXLl2f8+PEEBQVhb29vFVUddyNZLAgKJUo7B2L+Xv7ARbdXjU4YUmNJPLm+QP3GHliKT63umHUZqOyd/xVBcpMJ9u+H7t3lRcaD2LoVOneGLVue2a39Z1CpVDRo0ACTycTw4cNZvHhxng3dGTNmUKxYMaZOncrAgQOZO3cumZkFK6G+evUqO3bsoFatWtYRHL8zZjSu/th7l+TKkrEPDIzfTdzBZXhWaU127FVi/v4FgNu7fqLKW+swJEeTHX9NNqWPOIrayYPS3T8h6/Yl3Fy8seaFvY0XDx8fH0JCQggMDCQpKSlX7i8+Pp5PP/2UDz/8kKioKObNm/fAPsLCwli3bh1ms5lVq1bRq1evZ3X7D8VskMeiQqnG3qc0ANmxl8m4eRp7r2BSL/9doH6Szm7Fv9FrlO71GSCgUN5Zk17ZR+LJdRhT5exeY1q8vHGvUmMxWZ95MICTE0yaBO+99+i277wjSzlUqWIznH9WJCcnk5GRwerVqwvU/vbt26xYsYJmzZpRuXJldu/ejclkQq/X4+zsjNlsZvXq1QwePJghQ4bQu3dv9u7dazUVkpLFjCRa8G/4KjfWf44hKYq08AN4VGrBrZ2zc+VSHoadewAupWqjT4qiwtAFGNPjubrkzVypMl38Na4sGUu5QT/hUqqGvHllhVgsEB4uz00ftnmVU8lx9qxsSv9f2i+3ngiCDRtPgFOJamRcf5jupIDCzoGUS39TrMnrBHd6H2NqDG7lXgZJQpcYiWQx4+zqg2+d3mTHXiX2wBLcKzT7VyzmbTwZRaHF6OnpSUpKCi1atCAhIeGB7S5cuECLFi04fvw469b9o9MdExPDvHnz+Omnn9iwYQObNm1i5MiR1KxZkwYNGvDuu++ybNky3N3dee2117h8+TLly5d/7PvNoSgyALReJSjefDQ+tbsRvWM28YeX520giaRfO0z6tcO4hjagZOcPEJRKrq/+iBLt/0fCib+I2TM/zyUxexfgWaU1xVuMRmXvkpvpaq3jtXNn6NZNzjjNySI9fFjepf/5Z5gzB6KjH3x9xYpQteozuVUbyNJEe/bsyQ2Mg5xV+jhaj3Z2drz77rukp6fj6OhYlLdZJEiiBVNmEqbsVJwCKpB6dX++7RRqezwqNCNm38ICZ6yJxmySzm7Gs2q7orzl54paDf/738MD4zls3Qo7dshl5v+17JunSYsWLShWrBjNmzdn//78f19v377Nl19+yZAhQ/jzzz8L1f/KlSuZPXs2giA8sW5qUeFeoQm6hOuPzEL9B4mEE2sJaDoM1XZ3zFkpSKIZiyGTzKgzeWWTBCWSaEGhsUew0kW9jRcXs9nM8OHDiY+Pv288TZ06FU9PT+bOnUvbtm358ccf2bFjR267smXLMnz4cIYNG0ZSUhItW7aka9eumM1mVFbwpWrITEaymFHau+DsXgw7zyBM6Qm4lanLrZ1zCt6RZCHp1Hp86/Un7sBSRLMBjasvXtU64FunNynnd3Bj49co7lRHSlYSeMwPUZQzxzMzZa+cB/HWW/DRR3D9OtSta6uwela4u7vz3XffYbFYCnzNggUL6NevH82bN8fT05MKFSpgb29PSkoKW7ZsyZVmUavVDBkyBB8fH2JjYx/R67NBUKpIOLkOn5pdMGUmc3v3XKI2z8B15HKC2r7D9dVTHzqnFZQaSnR4F0m0IJpNRPz5AalX9oGY99/PmBZLzL6FFG8xymqrr5RK+OyzglV1pKTA9Onw5Zf/rbH5/N8qNmw8AbIsQxbe1TvfHxwXFLiUfgnv6p3kTNQ7QTNTdhqO/mXRuPpye/c8ks5svst0847+Yq3ulOo6FUmSrPYLzsazoyi0GEVR5J133nloYDyHK1euMHv2bIYMGULNmjXx9PRk4MCBvPXWW4wZM4YuXbowa9YsNmzYQM2aNfnuu+/Yvn07LVu2ZMqUKTg5OVGrVi1q1ar1xPf9pEiiBUkU8a7ZmdgDS+8PjN9D2pV93Nz4FcEdJ2HKSiH57Ba8qrYldu/CPNUhksUkZ9OkxVG652eYMmXDRGsdryoVREbKEiubN8ulbH5+0K+frO02diz07CmXseXHyJE2LcZniUql4rvvvstzLDw8nHr16j00YObl5cXAgQOpXLky9vb2qFSq3IC6tUmp5CAolFgMWVgMcn2laMh/1qx28UahtiMz+myh+s+KOod39U5WE2R8EkRRzqQpjFrV999Ds2ZP757+a9jb2xMWFsbUqVMfGBjPIafaKyUlpVCfkZqaiiAIaDSaIpUYe1wkixl7n9IkHv+rUNelXdlHYItR2PuUIeP6UQSFCpW98/2ZcpIF0aRHobK9YGwUPSqVitdff52PP/4YDw8P/Pz88gTOxowZw7Fjx3j77bfZtm0bcXFxxMfH4+joSKlSpdDr9URERFCzZk3MZjObNm2yisA4gEmfBQoFSo0DosWMX50+xOxfjKBUkX2n2rGgZMeFo1CqiD/2JxZdGgDR22fhWbklAc1GEOLqhy4xErNRh/gA487njSjKgbelS+UgXJ8+skTDH3/IwTY3NzlRZMQIqFZNviYo6L8VfHveODo65lZvFJSc9p6envz999/8/Xf+FRE5VdEBAQFWExwHyIg4gjHlFsVbjMK5ZA0Sjv1J5NpplOw8hZJdPiRqywzMWffPEzSufgR3nISDf1murZxM+rVDD/2c5LNbCWg6DEFVSFfaZ0RaGqxYUfD2v/4qj+P/0vh84dMDtm7dyqBBg6hduzZly5Yl+mGpdzb+dUiSSHbcVVxD6uIUVC33uMbNn/JD5lOm52eoHN2J3jGLiNUfcnPLtyhUavRJN7n0y1Dij6y8KzAOIJEecYRryycQs/dXOQgiFnxn1YaNB6HT6Vi6dGmB28+ZMwd3d3fq1avH0aNHGTVqFIGBgRw+fJiNGzfmmhdVqVKFnTt3EhUVxdKlS6ldu7Z1STZIcvBNEs3EHvytQJckn9uGPjka7+odST6/A7WTJ1qv4HzbpkccIfHUetwrNLPasSqKMG4clCol78JfuCAbch4+DGPGQPHicnbpmjXQpMn913ftCsOG2QLjzxKdTseGDRvyHJs3bx6hoaE0yyfS6ePjw8KFC4mOjuaTTz6hTJkyuLu7U6FCBQBMJpPVLObvxWLMxmLIyt1YUtrnb1KUs8EsFSLbCEAU7yzirXR8FgazGbZvL9w1u3Y9nXv5r1LtTkTlYRIMOZQtWxYADw+PQn2Gm5sbkiQVyFfgWSAoVSjVWiwFkFO5m5wNL6XGHgDXsg1QqLWkR95jlqZQolBrrfYdauPFx87OjvHjx2M2mxkyZMh95xctWkTVqlVp0KABc+fOZffu3axYsYLJkyej1Wp555130Ol09OvXDy8vr+fwBPnj4OZ3p9pCQqFU4Vm1Dd41Ot85+3gbwnfneEhmA4kn13H1t3HY+5bBs0obTNmPZx76LLBY5Gzw4cOhaVO4dg1+/BESE+VzSUlypeTNm9CiBezZ86/z6rZ6zGZzrg9AQclp/6jNYnt7+V1jTckgkiShdvUl/ugfRO+Yg4NvGYI7vCsbapp0uIXWp/LolQR3noJ7+Sa4lKqNR8UWlO75GRVHLMPOI5CrS958ZGAcwGLIJONGQau7nj1nz4JeX/D2yclyYtd/CSuKoDwe2dnZ1KhRgzfffPN534qN54KAIeU2GTdOUrr7JziVCEPj6kfogO8RlBouLxzB5QXDSDi6itSLu9E4eSKJIuG/v5PvDuHdxOz9leRz22xvbRtFwpEjRwqseQoQERHB9evX80ijpKWl0alTJ06cOMGvv/6KXq/HwcEBSZK4ffs2jo6ObNy40WoW9CAboUiSSPLZrYiGgjpKSiQc/wu3ci8jmuWJmEfllg9snXD8L1RaJ6xVJ3X8eJgx48FfJRkZsn7xrl1ytk1OENzVFd59F1aufHb3akMmNTX1vpLT/fv3c+bMGT788MM88irBwcEcOnSIli1bMnnyZAICAmjQoAEtW7akfPny1KhRgyVLlgBYjQZjHiQJXUIE9t4lEU163Mvns0MDmLPlTDY7N79CdW/n6vevMrUuzMLicdrbeDilSpVi27ZtBarC0uv1mEwmunXrVqjP6NmzJyaTyaqqHSQkVPYuhbomp31OkNynZlcsJv191SFuoQ0QFEoUdo62ALmNp4JKpcLT0xOj0ciIESNwdXXNt93+/fuZMmUKY8aM4d1336V69epERESwefNmGjVqxJw5c6zqPapxlJ9DlxCJIS2WrNgr+L7UE0kSsfcqWai+7L2CEU0GzLr71wrZty9ye8/PCAoFpgLPpZ8tWVlyAPwX2eKAXbvk5I7gYOjRQzbe7NkTSpaETp3kjebvvrNJjj1rEhISCm1s26hRI8xmMxEREQ9t16JFC0RRRHe3U/nzRhLxqtoWANeQOhjT4hBNBhAUGNPiybp9GUGhwtG/HCW7fECZ3l8S3GkyziVrYTFkcn5WH7JuPdy49G5EY7bVvkcLmdvy2Ne8yLzwwfHOnTszatQoXnrpped9KzaeA4JCiUvJmkSsmkLW7YuE9ptBucFzkSwmriwelWusCSAo1XhWa0fymc25EgyPIvbgb/+aBb2N50t2QQS+7kGv16PVavMcMxgMvPPOO4SEhKDVanMzyDUaDSqViurVq5OamoqpoC6PzwCFUkVm9IMnFk4lwijWeCiBrd4koOlw3Cs0IzvmMgqlGju3YgD41OqG1jv/hYY+4Tr6pCircwyRJFlLcebMR7c1m+HNN8HfHxYskBcXsbGya7gg2IyKnjUP0gYfMWIENWvWZPny5Wi1WpycnNi0aRNms5natWvzzTffkJycnOeaEydOMHjwYPr37/8sbr3QKDSyH4fayRNTdhpe1TsiKO5/75mzksm6dRGvau0L1b9n1bak3zhZVLf7XBEECAws3DWFbW/j4djZ2eXqmz6KtLQ01Go1AwYMwNk5/4qIewkNDaVp06ZWFYADEBQq3Cs0LZTRl3uFpogmPdkxl/Gt0xunwCqIhixK9ZjG3ZvJ3tU7IZqNOPqXs1rfDhsvPgcPHmTy5Mk4Ojqybt26R47JadOm0a1bN86ePcuMGTPYtm0bKpXKuqojkWXWRLOexBNrsfcKJnrnT1gMWXjlZpAXpBsFntXak3xhB0j5R6OSzmxGsphQ2VlPVm4OZjPcvi0HvO+ZAhEdLcuq/PKLnOxxt6LH2rVgRfk8/wlOnTpFx44dCQgIeGi7wMBAqlSpQpkyZRg5ciSrV69+6Ka0IAgMHz4cKLyU2dNEUChx8AvFvWJznIOqYedejMTTGzj3fXcu/TyY23vkKrSry97m5uaZSKIFY3oCurhwBIUS0Vy4X1CVg5vVrUdzCAkp3K3Z2cnVzf8lHuvtsmbNGqZMmULXrl2pVKkSZcuWfaTZzZkzZxg6dCi1atWiWrVqdO/ePY/ZnA0bj4MgCNi5+eMYUIHwFROJ2bcIlb0LUZvv145yKVkTtaM7iSfXFrh/fcJ1MqPOWbXxiY0Xgxzt04KiUqnw8/O7L9AG8gLjzJkzmM1mdu7cmWuOMmfOHHx9fVGr1aitTYMjn110z2rtqfD6QkL7zcCjckscAyriGlqfkp3fp3SPaQA4l6yJxajDlJWCd40uD+zenJ2KPummVe3WS5KsN1zQ5MOLF+Hvv+XMmv79QauVg+JWOsf6V+Pi4kK9evXuO75//366du1KixYtuHz5MsuWLaN06dK0bduWqKioh/a5dOlSPv7440KZID0T/s/eeYdHUX1/+J3Zkt57L4TeO9IEpLfQQVFAROkgxZ8dFRGxfEUFERBQkCJKR+nSld57Dem9183uzvz+GBIJCSFRAgvs+zx5gJlzb+6Q3J17zz3nc2QJO7/aZIafRmVpi9rSHr9OE0s0TTy5AbvABvc8qLob++AmWLr4k3GjHCLdJoxKpeilltHPCsCwYWUr3mmmbOj1+jIXtj1+/DiSJKHRaJg/f/59a1JYWlqyePFidDqdSemlgrLe1dq7Y1+pjMFAggrX+j1Ivbwfz1ZD8Wk3itiDy7i5/kOsPUKwC2wAKO9hu8AGpF8/VOZCu2bMlAXD7Q++jIwMbty4gb+/P1999RX29vY0bdqUY8eO8corrxSRYBAEgQ4dOrB161beeecdLl26RJcuXRg7diwajQaViYnfSgYdstGA1s6NxOPryE0Iw7P5YHRpcVi5BmBfqVmZ+nGq3gYLR0+STmy89/fSZZN2eT8qdfkLg1c0ajXodIpsSnkwGJTCnWYeHgX7xxkzZhS7Z2dnx9ixY7lw4QIRERGcOXOGa9euUblyZQRBoHLlyvfsd/To0VSpUoW8vDzCw8Mr8hHKhSxJSEYD/l2mAhCz/0eidnyLITsV4Y655N7sefw7v05W9AUkfS423tVQaa1xqdMF72dfIaj3BwT3nYF/1zewD25CSdnKGjs3bP3qmFTW2Z14e0OnTmW379+/fOvdJ4F/5Rz/5ptvWL16NTExMbi7u9/X/siRI7zwwgscP36cTp068fzzz5OamsrUqVOZP78clZzNmCkB2WjAp+1rCKIaC0cv8lKiybh5rJidxt4NWTKSl1y+IhS5CdeR73GKb8ZMWalZs2ahVmpZ6NmzJ05OTvc8RNy6dStZWVnExMQwfPhwZFnmo48+Ktx4mBKyZETr5HXHFQH/LlMJ6DqV3MQwri6fyPk5/bm85FUuzn+RC/NfIvncdiRDPi61OpB6eS9JpzbjXKsDokXJThGVhQ15iWEmFfUmikrxzfLwxx+KM9zUzjaeNvR6PWPHji3x3pYtW2jcuDE7duygY8eOrF+/nuvXr5ep32+//db0nOOCiGv9nkT9OQ9RVGPIy8S1fg8CeryN2sapiGnqxT0Y83Op1O8TNLYupXZr6eJPQM93yIw4jaWzD7Lx8fYQSxLcvKlE0rz8ctnaWFkp2qvmtPEHR1paGh07diwibXQvwsLC2L59O1FRUQwaNIhVq1bh5uZWom1gYCA7duygUaNGWFhY8Oeffz7oof9nJKMev44TUdvcX0Pdt/0YNHauONVoi1v9nkTt+o7Y/UvIjjxHbsIN3Br1xuOZF/DvMpmE4+uI2vWd+STWzANl3759hIaG4uzsTLVq1bh48SI5OTl0796devXqcfXqVRYuXEhMTAx//fUXe/fuJTw8nB07dtC4cWNiY2OpXr06V65cYe/evSbpcMpNi0dUa9Dau+PdbiQWjp6oLW2RDTryMxII6vU+1l7VSu3D1r8u/l3fIPXSXnLirpRqq89KMdnC8zk5UN7thyCACclTPxXodDq2bt3KsGHD+PrrrwszMRo3bsy1a9f4+uuvuXjxIr169aJp06a0bduWBQsW0KVLF65cucLJkyf55ptvePbZZwv7HDlyJN9++y06nY6TJ08WHoyZBIKAIAgIKjXZsVeIO7gUS7cg/Dq9Tp2JG6gyeDYA7g16IunzsPWpRU7CTW5t/ARDbgYB3d7AtUEoKks7BJUKG9+ahAz6nJqjl+NSp0uRb+VavweyZDRRkU/Q6xWpz7J8hKhUSkazqW1ZKpp/5RyfMWMGu3fv5vDhwwwaNKhUW4PBwHvvvYcgCKxYsYIZM2bw5ptvsnHjRipXrsycOXO4dYfS++zZs6latWqpX2bM3ImgUmPlXomQgZ9hX6kZaZf28G+LoJgxU1Ho9XomTJhQZvvx48dz8OBBzp49W+L9nJwc9Ho93t7eTJo0idWrV5OcnMz8+fNRqVQmlRIuIyhSDLfTwb3bjMClXldubf6UsPUfkhVRtHiJLiWS6F3fcWXZOCSjHivXINKuHECltcLavVKx/rUOnli6BZEVebZU+ZZHQXY5pSGzs80SKqaARqNh4MCBJRbfBLh06RLff/89Wq22XIf8KSkprF692qRkj0BG1Frh2240MfuWoLF2IGbfYpyqPUutcb8SGPoezrU74VjtWVzrd8OQl4HW3p2qQ+fhXKsDgqqok1LUWuHaIJQqQ+ZiyE7l1qZPcanTGcmQb5LOjfLw1Vfw008waxaUkFhQBI0GVq0CR8eHMbKnB51Oh4uLC3369CmT/Zw5c6hUqRILFy6ke/fuREVFsXz5cvr370+nTp0YPHgwmzdv5saNG1StWpXk5GQSExPvmwnyKBBVGkSNBVWHzMHGp0aJNiorB/y7TMW9cV/0WSnE7PmBc3P7k3D0n+IVyed24BDSHJ+2rxH/90qidsxBn5Fw31o8ZsyUlTfeeIP27duzadMmjEYj48ePp23btvTs2ZM//viDS5cu0bNnT+bPn4+DgwMeHh7k5OSwbt06WrRogaurKz4+PnTq1Im0tDRatWrFgQMHTO5wOTs5GkNeFpLRgHvD3qRe2sOFBUO4umwcFxcOIzcxjCovfo1P25FoHb2KtLVw9sO3/ThCBn1BdvRFbm3+9L7fT9Roy10U+2EREwPPPQe2tmVv06GDkiVp5uFy5swZfv/9d8aPH8/169f58ssv2b17N9evXycwMJD+/fuzceNGEhISGD16NK+99hqgBLxmZWURGhrK3r17iYqKIiIigvnz5xMbG4vBYODYseIBio8WZd0pqtQkHluLd9vXqPHqjzhUaUnC0V+5umISV5aNI2zDdLKiLyCIIjbeNfDrNBFDTjq3Ns/i3Jx+XF81lRu/vs2lhcO4/NMYsmOvEND9TbzbKP83Nr618Wg2CEGlNqlArbt57jn44ovSbVQq+OEHqFMHbqu3PjX8q1iWklKN78Xhw4eJiIigT58+1Kjxz0LO1taWMWPGMGnSJNatW8fkyZMBeOWVV+jfv/+/GZaZpxhBVGHrVxsAQ25GiTb6jEQEUYWli3+5osetPEIQBNP9kDPzeKDRaHj55ZfZu3cvy5YtK9X2ww8/pE2bNvTo0eOeNp6enqSlpbFz504MBgPvvPMOAOHh4Rw5csSk6jCIoojW3h3HKi3IjrmMR7NBxO7/kZRz20ttlxt3lZtr3qXKi99g460UJhW1xUNMXOt1B1ki+cxWbP3rIssSQjl0WSsSD4+i+oplsTcazQ5yU2Hz5s288MILnDt3jtdee406depgZWVFamoq0dHRgOIoLw8XL168v9FDRBBEovcswL/T66htndBnp2Hh5MO5Of1wqd0Z1wY9ca7ZHgBZlsiMOIPGygFBbUFgz3fxbT+O9BtHkPKzUVk54FCpGaLGgtTL+4jc+hW+HcYhqDTEH1mBZ4sXMdXCufdDFGH5ckU3NSQEdu6Ed95RagRk3LXsaNoUZs6E1q0fzVifZEJCQjAajXz88cfs3LmT5Pvk8ev1eiRJ4rXXXuPDDz8kNzeXkSNHMnjw4EKbkydP8v777/PSSy8REBDAwoULK/ox/hWS0UB2zCUsHL2oOnQeOfHXSD6zFX1WMqJai11QI6Wgrixza/MsUs6VnLpkyE5BEEUuLhxGXtKtwuumJEtm5vHEaDQyd+5cvvzyy8JrgiAwZswYVq9ezd69ewuvjxgxgjFjxjB58mRmz55deF2tVuPk5EROTg47duxg9+7dLF++nNDQUPR6vWlJq8gyuuwMbFxsi845QYWg0hC2/iPcG/fDpV533JsNJC8xDENeFmpLW6zcK2HIyyL+8C/EHVyGLN0/2tY+uCn5JliQ02BQaubY2MDgwbBgQdnajR+vtDVnVz18jh8/jizLdOvWjfHjx3Pu3Dk6duxYWCOrdu3a7Ny5k7y8PCZPnsyyZcvIuGOx06ZNG15//XVCQ0NJTk7G1dWVVatWkZ6e/qgeqUQEQQRBeb9Ze1fDrWEvov78noRja4pIfmYDqRd3YxtQn5CBn5MTd5Xrq/8PqYT5lhNzkVsbppMTfRHfDuPQ2LngVL0NUn4uKksVmKjfKDoavvwS5s6FatXg888VOc8CBEE5sHrrLWjVSpEFHDYM2rd/VCN++FT4R9HRo4rOZMuWLYvda9GiRREbUHQ+K1oS4Mcff+THH38sV5vSChCYefTIkhFJn4dk1KO6R6GSjLDj6LNTlfTxXXPL1K+lWxC2vrUe5FDNPMXIsszSpUupXr0633zzTTFN0+DgYN59912GDx/OW2+9xe+//15iPxYWFgwcOBA7OzuioqJo3749MTExhfcTEhJMKu1SNhqQZZmA7m+RcuFPJL2OhGNry9Q2K+IMWZFncamnVBqX8osWNrVyr4Rb476Kppw+F1Ftgak43/R6ZZNQ1iAKQYAhQ8ybBFNBpVJhYWHBmjVrUKlUpKSksHfvXpKSkvDy8mLUqFEA5Z5rpjQ3Qflccq7eFkNeNvrMJKxcA3Gu3Yn064dIOLaGhGNrEFQaRLUFdsGNCezxNrIso7ayIzPyLHmJt7ByC0LUWmHUZZNwbA1JpzZjzM/Br8MEXOp0Iv7Ir6Rd2otXyyGP+nH/Nbm5kJmp/L1zZ2Vz8eWXStHcdesgMlKJgGvbFho0UCRYtmxRbE3Jl/M4ExAQgLu7OwkJCXh5ebFr1y569OhBVFRUifbdunXjl19+Ydu2bVSqVInp06cTHR3NwoULOXHiBCqVCkdHRwYOHMjHH3+MwWDg/PnzJlVM7E4EUYVDcBP0OWlKVpVbML4dxhd+phhy0ok/+hsJR1ZjvEegCICosUSWJfKS/tGFFdQWqK0dKvwZzDzZyLLMrFmzilxr3749ISEhDBnyz+e/SqVi2rRp/Pzzz8yePRu1Wk1oaCijR48ukrF18eJFvv/+e8aNG0e9evUQRZHAwECTqasjiCos7Z1JOLaGlHPbsHIPwbVhT5xrdkCltQJA0utIubQHfXo8Gns3nGq0Iz89jryUaHSpMcTuX1Km72UX2AALJ2/yYq5V5CP9K9Rq5VB41y748EPYuvX+gSG9e0PXruZgkEdJUlKSEsCk1TJ69OhCx7iHhwdbt24lOjqaTp06kZSUVKzt3r172bt3L2+88Qaff/45+/fvNymt8buRDPm4N+pDxLbZJJ28t7a/Q+XmGPOzufHrWyU6xu8k4dgaLF0DcanbGUNuBmprR5MJzioJWYbvvlOyPGbOhH37lHpXly4pe9A6daBSJThzRpmbO3fC0KGPetQPlwrfghdIpgQEBBS75+DggJOT03+aSGlpacTGxhZGcN24cYPMzEy8vLxwvEcua1ZWFvHx8eX6PqYkUWCmBASR67++hUfTgThUbkHsgZ+KmchGPcmn/8C1YS/iD69Cn3X/qiGez7yAbDQgqMzeKjP/HUEQyM3NZfz48UyZMoVNmzZx+fJlRFGkUaNGdOjQgeTkZEaMGMHixYvv2c/AgQNxdlY0R729vXn//feZN28ehw4dApRDRkmSTCa6RkZGVGswGvW41O1C8pmtxZzcpZF4chNBoe9hzM8jN+Fm4XVb/3oE9/sYEBDVGkStDbb+dU3G+ajRwCuvwHvvla3gUOfOUMKr0swjRJIkoqOjmTZtGr/++it5eXmF99q3b8/OnTupW7cusbGxZe6zfv36FTHU/4CMjW9tEo+tIeX8TqRnX8Eh5BmCek0jes9Ckk5uRNLnYVelBcG9PyDl/E4its3GxrsaQX2mY+NdnbTL+0i9tBdDbjoqrQ1eLYfgXLsjgqghI/wU0X/Ow8LJ51E/6H9Cq1U2D7KsFB579VWYNk35MzRUiRLPy4PLl+Hdd2H7diWq3Lzxf3CEhIQQFxfHt99+y7Rp03B1deXGjRusWbOGRYsWERYWhkajoVmzZowZM4ZmzZqxadMmJk+ezOXLl5k5cybOzs688cYb2N6R+3/8+HFeeeUVnn32WQYNGsTmzZtNUgJIEAQkZDQ2jqRe2kfKhV0YctJR2zhg598Alzqd8Gw2CENWMonH192zH/vgxrffpf88o3ONdsUkksyYKQ96vZ4NGzYUC/yoX78+qamphWtUgO7du+Pn58fs2bOpXr06mzZtIiQkhAMHDjB69GgSExOxsbGha9eufPXVV8ycOZPVq1czdOhQk3GMA9i6+SOqtSSe2EhA97dwqdOZ/MxEEo6sJideqUVi5RaES71uWDh4knppL/FHVuPRZABRf84joMsU7Cs1JePGkVK/j6C2wKftSCSjHo1VOXRLHiIGA1SurLwH9+1TilefPFncThAUh5uJJug8VWRmZmI0Gjl9+nQROZSJEycWzr+SHON38sUXX1C1alUGDBjAvn37TE76CJQgSkGlITvmUqmOcVFjiUudLiSd3IgxT4mG0Dp6Y+tXB5WFFVJ+HtnRF4ooEMQfWY1r/e7kJYVj42uPoDLdRZ+3t1IXYP165attW3jxRSXrQ5aVw62XXoKCj2pRhJo1H+2YHzYV7vHLuu0RsLtHqVNbW9v/VBF+9+7dvP3224X/LtBE+vTTT++pR2hra4uHh0e5vs+duuhmTAtZMpIRdoLsyHMkaawIGfQ5Nj41yI4unrqecHwtzrU7UmngZ1z/5Y1S9RW9Wg3DuVaHihy6macQSZLw8fHhpZdeYvDgwTRq1AhBEPDy8uLvv/+mQ4cOhSf3JVEQdb5v3z7effddmjVrxqhRo3jxxRf56aefeOedd2jevDkGg8EknOOy0YA+IxFEFRYOHsiyRG582YoXFpCbcAOA7NjLWDj7YOkWhFv9ntj41ECXHoeFg6cS/VqrPaLGtMQLraxgxQplk1BafRpfX0WuwZxeajro9XquXr1KmzZtStwc7Nq1i1OnTjFq1Ci2lbHyqoeHB71790ZtQj9kQRAR1CKoNFQd9j36rCTy0+MQtdb4tBuFV8shpFzai0utjqSc38WtTTMBmcxbJ7kwbxDOtTvj1iC0UHoFwJifA6IafXYq11dNBShTEUFTRqWCdu3gzjqNsbEwfbryVZJ9p07m+XwnOp2uiIOsvDRs2JC4uDgWL17M+++/z6FDh/j7778ZPXo0L7zwQhHbbdu2ERoaypYtW1i7di3Z2dnMmjWLzMxMJk+ejK+vLxYWFiQnJxcebqWmpjJs2DAEQeDvv//+z8/6oJEliezoi4St/whDdkqRexnXDhGz7we8n30Fv44TQBBJPLamWB8aOzccKrcgcvs3/1wUVLg36a/sjk3kcNnM48nx48eLXbO2tib7rgIsAwYM4MSJE+Tm5nLw4EGio6OpW7dusTo7y5Ytw9PTk2+++Ybhw4ebXLCajasfmbdO4dNuJPbBTQj//TOSz+0A+R8HYfrVg8T9vQKnGu0I6DoVtY0TKq0Vki6HtKsHCer9Ibc2fkz6tZI/c1SWtgT3/RgrjxAQRFQmts4tQK1WnG9JSYqD/MQJxUm+aBFcv64EjDRtqkip+PubP25MgZSUFAwGAxs2bCi8Vrt2bUaPHs1PP/1U5mDSzz//nFdeeYUaNWpw7ty5Chrtv0cQVQhA4okNpdrZBzdBbWlL0qnN2Ac3wa1xXxwqKTKlkiEfUa0cIGeGnyLx+DrSrhxAlxJJZvhpLBy9TSRv+d5oNIrz+7vvlH/v2aN83YsuXZQ5/TTx2C/Z+/TpU+aiPAW8/PLLvPzyy+Vq4+vrWxidbsa0EEQVSSfWA5Bx8xh5yZH4dpzIteWvI+lzi9gaslO5vvpNKj//JdVeXkjC0d9IPrftjvRTAfvgxrg36Y99cOOH/CRmngZsbGwICgpi7ty5zJ37j7zP5s2b6dq1K6tWreKNN97g6tWrRdqp1Wr69u3LvHnziIiIIDQ0lPT0dP766y+++uorhgwZwoIFC6hfvz6yLKPVmkYEmKBSo7K0xZibSVbU+dva4eWMyJOVzZB9QD3sX1aEDLMiz3Hjt3dJv34I55rPEdjzXbzbvna7b9NZnqhU0L27Iq8wcaKSunYngqBEjC9ZAi4uZkeaqdGlS5dSo2bmzZvH/PnzqVu3LmfOnLmnXQFvvPGGyWQ23I1bw16kX/uLWxs/ocrQucjZqagtbclNuIlL7c4gG4nc8TUF89fauwbOtdqjtXPDkJdJbtItDDnp5KfHkxN3Fd92o5CN+kJNR+faHR7rTCy9HsaNK+ocL42ePcHTs2LH9Djh6OhIYGDgf+pDo9FgY2NDQkICL730Er/++it6vZ5mzZrh5+eHu7s7er2emzdvEhkZiYuLC2vWrKFr1650796dzNu6OLm5uVy7VlyaoCCgp1evXty8ebPY/fJyrwzWf4NsNJAde4Xrq95ANuaXbGPIJ/rP70GS8G0/hsxbJ8hLDLvDQsC3/RgkfR4pF3beviTi32UKlm6BJp0Obsb0EQShROd1eno6Tk5OqNVqDLejBNzd3bl58ybr168nNjaW1q1b31OrOC4ujkGDBrFs2TKef/75Cn2G8qLSaJG1VtgF1OPGr2+TcfNoyYayROqFXegzkwh5/gtkowG1jSNhG6YTFPoelfrPJCvqPIknNpAVfhrJqEfr4IFLnS641OmMqNZizM9FZWGDSm3xcB+yHGg04O6urH0zM5X6HD///M/9O389THQp9NQhiiJZWVkMGjSIMWPG0KpVKwAWlFU4Hrh69Sp79+6ldu3aJucclyUjutRoLF38Sbt6sFRbja0LkiEf13rd8WzxItkxl7i1+VPSLu9D0uchqLQ4VmmBa8NQgvt+TOLJjURu/4a85AisvaqACRfiLGDyZCWrsZQ4PECJGn/zzacvaKvCH7UgbbFgQXo3WVlZ94wqN2OmrGRFnb/9N5mw9R9R5aVvCXn+S8LWf4g+s6hefF5iGFeWjSe438f4tBuFd5tX0aVEIBmUhYjGxqlMRVHMmPk36PV6xowZU5jlAkpmzcqVK+nevTutWrXiypUr7N27l+3bt5OXl4ePjw9DhgzB3d2dLVu2MHjw4CKbiAIt87S0NNatW8fNmzcJDg5+FI9XIqLGErWVPbF/LUNr74Gla/m0QyxdAwG4/stbGHJSqTRwFjnx10m/9hcAKed3YutXF5c6nU1ycy+KSuraxYtK4ZPff4fsbKX45tChipTK07b4MHX0ej2//vorkZGRpdotX76cUaNG8ccff9C+fXsuX758T9sJEyYwZcqUBz3UB4JkNJATe4VbGz7G0i0QK7cgdClRyJIRQ246AjLJF3ZhzMvCLqgxPm1fxdqzCoa8TESVBlFjSV5yBIKowtqzMi61OyLpdWhsnRHUWkS1FpfanR5bxzgom/6ePeG55+7vILe3V/QczfNawdbWFn9/f/z9/f9TP7IsU7lyZYKDg1m7di0DBgzg559/plevXqxcuZL169eTk5ND3bp1+eSTT+jfvz96vZ6ePXuyfXvpBaABXF1dAahcuTJ16tT5T2Mt4E75lv+CoFITufV/xRzjKku7Qgea1sETQRTRZ6Ug6fPwaDaQ8M2zbrfX4t91Co7VniVs3QdI+bnY+tXBs+UQ7AIbmuyhnZnHB1mWqVq1arHru3bt4quvviI0NJS1a5V6MwaDAW9vb6pVq0azZs3uW8RPlmVGjhxJaGgoNjY2iA9Yryo7N5fFq/8od7sx/o3w8gwg+ey2ezvG7yAr4jRJJzfi1qAXsiQjG/K5ufYDHKu1xq/TRIJC3ytiLxsNSJIBfVYKKgtrZMmIqLXk121/kZmeVu7xgvKslpqK870UJK3a2Sl1OPLzFUe4RmOWGTNFcnJyGDlyJNWqVWP37t0sWLCAESNGcOXKlXL1c/78eapXr15Bo/z3yLKELi0WSxf/+2qIy7KEIKrwbPGiUrTzyOqi9435pF7aQ+qlPbjU7Yp/lylIeh2CICCotCb/HhVFZc+5di306aPU0ikJlUopqtuixdM3Zyt8yV4QJRIeHk6tWkULG6anp5OammqC+ptmHjfudGbnJlzn2spJVBrwKbXG/kLa1YOknNuBPisZUWOBfVBjXOv3KCw8JIgiVu6VivQniObdrJmKQaPR8NJLL/Hjjz/SoEEDxowZQ40aNQrvW1hYYDQaad68OY0bN0atVpOTk1OYol27dm2eeeYZtm7dWqzvjRs38vvvvxcpZmQKSHodolpLbmIYKRd24lq/J9F7fkA2lC3t3LVBKLJkxKVeF25t+oSkU5txb9yX6F3fFc79hONrca3fvSIf4z9R4CBr3lz5EkUwGv+5bnagmRYajYYffvjhvnZ5eXl0796dHTt2cPToUebNm8eCBQsIC1OiNQVBoEOHDowbN44ePXogSRKyLJuE5NGdiCo1cQeXYuHkTeUXZgOKTqosy9j41UVQqUm/+hfOtTsT0O0NsiLPkx17BWv3SiSe2kzSyQ1FivtZOPngWr8Hbo36UOXFbzDqcp6I96osw6ZNikzSvZR03N2VA7CQEPO8LuDOw+D/isFgYNSoUfzf//0fa9eu5eDBg7zyyiuMHDmSESNGFNrl5+dz48YNWrVqhZ2dHTNnzqRJkybY2NiQkZHBvn37WLRoEQkJCYVtBg8ezK1btwgMDGTy5MkPbMz/FVkykh1zidzEotHs7k0H4t16OAgCaZf3kXx2K7IsYensi3OtTjjX6oSotUGXGoVrna6oLG0xZKfjUKUl3s++iqWrv5LNYeIbejOPBxqNhsGDBzNlyhQyMv4pCHvu3DkOHDjAuHHjCp3jN2/eZMiQIZw4cYIjR0rX2y4gJyeHxYsXM3bs2AfqHFdb2mCJO/9GKVkvgcrS5r5yDXeSeGIj7o37obV3u31FBllGbe2krJPPbkdQa/BsMQRkCX16PJlR53Gp1QHx9gFzUI2GnDp+f2d8SVhq7FBb2vyrtuXFhOThzZSASqVCq9USEBBA165d2bp1K6+++iqvvvrqv+rP0tI0JX9kg3KorLK0K9QSLwlJnweCSOzBZcUc43eTfGYLotYavw7jyE26hYByiGfq71OVCjp0UGSPPv8cfvlFkUECZc3asydMnapIID1tjnGACn/kxo0VaYqDB4unMfz1lxL116RJk4oehpknHAsHryL/zom9woXvXyRy5xwsXQOo1P8Tqr08nyovfoNbw17oc9KQjebocDOPBo1Gw759+/j666+5cOECL7zwAj179uTUqVOo1WrefvttPDw8sLW1xdLSEmdnZ7y8vKhfvz5nz55l8+bNDBw4sMS+v/vuuwqJqvkv5Kf/U1ci6dRmVBbWZXZkW3lWwT6wAQnH1uJQqSlBoe+RHXtZSS21si+0y0sMIye+eJq8qaFWK1+iqGwaTHwN9VRz/XrZtPHj4uJo2bIlJ0+eZPLkyVy/fp3Lly9z6tQpYmJi2L59O35+fgwePJhu3bohy7LJFfvLT48n4+YxArq/haTPLczASDr9e2GkqoWzDwHd3iD5zBb0WUlYuQZyffWbRO34pohjHECXGk307vlcXT4RS5cA7ALqITwG6ab3Q6UCCwvYuhX++gsGDVK0Uz094ZlnYPFiCA+HevXMjvGKQq1WM3bs2MKAm/j4eD777LPCgrn5+fls2rSJHTt2ULVqVVatWsWNGzcYPXo0KSkpXLhwgZycHN59910iIyP58ccfsbOzw9/fn27dunH48GGTLCiWduVAkX97PzsC3+dGk3hyI+fnDuDWpk9IOPobicfWErn9G85924eoXXNxrPwM7o36knx+J3GHVqC2ccC55nNYuPgBPNbZHGZMDwsLC0aPHl3s+v/+9z/atGlTmD21ePFiLC0t+fXXX8vV/+rVqx9oQU5bW1tc3L3w8A/5V1+WVjbkp8eTW471py4lktzEMFQWtiCIuNTrRmCv98mJVTLPfJ4bhVcrpfZB2rW/ufLzBBwrP4Og0mDIy8ZoyMfd2/9fj9nDPwQXd68HltVi5vFEpVIxYsQIrKys6NOnT2HQVWRkJKIoFgtqvR/169fHwsL0JH8EBBBUyJIRp+ptS7W1dPFH0ucRf2hVmfpOPLGe/ExlPZwZfkqJoHgMMBqV4rkLF0JqKty4AUeOQFycElXeuPHT6RiHhxA5/swzz+Dn58fvv//OkCFDCtMtsrKymDdvHmq1mt69e1f0MP41K1asYMWKFfet1Gvm0SFLBlzqdiVq19wi16X8HJJObCDpxAa09h7Y+NXCIeQZ1DbO2PrVMW8IzDwyBEFgx44dvPrqq4WFwL766itq1qxJt27d2LVrV4ntTp8+Tc+ePfnxxx9ZtmwZly9fLqZzvHPnTvLy8kzm9F42GjDqlSNpK/dgUs5uIyvyHL7PjSE/LfaeBYgALJz9qNTvE3JirxCz9wcyw08RMuBT8lKU+g93z+H8tHis3ENM/tTezONBeaK7MzIy2Lp1K7Vr12by5MnUqlULKysr0tLS+OOPP4oUIZwxYwbvv/++yUSPy5KRrKjzWHtVwcanBoa8LGTJSNqV/URu/R8p53ZQdcgcXOp2Izv6Iomnfqf68AXc2jSTvOQIXBuEorZ2RDbq0aVGk37tb0VrHMiJuUTYho8IGfjZI37KB0fBj61pUyUL5E70enOk3MNAq9WyZ88eunbtyokTJ/jll1/o1asX06dP5/vvvycpKYnKlSvToUMHateuzauvvsovv/xSpNi1o6Mjw4YN48MPP6RevXrk5eVhNBpxc3MzucMrQVRhvCMd3LFq63umfRcg6fNIPLYWXXIklQZ8ipSfTfLpLXi1GIIsyQii+T1p5sEjCAKffPIJV65cKVLkb+PGjcycOZMvv/wST09PPvvsM9RqNSkpKffurASSk5Mf6Hj/a1aLLEuFRePLgyEnHRuf6tQcsxILB0+STv1OxPbZIBnxaj0cr5ZDiN63mPi/fsax2rNobJyRZQlDdgqWLn60a9eOdu3a/aexm3m66dSpE66uruzcubNIUfldu3YRGxvLqFGjGDt2bJn6qlmzJi1atECv11fUcP81gkqNQ6UmZNw8ilvDXiSd2nRPW5e6XUg+u7VYzbp7IhlJOrUZr5ZDCN86m9pjVz6gUT94jEZl/ZqWBsuWKYEcFhbQpg107KgEepizmf+lc/y3337jxIkTAIVF43777TeOHlXSe9q3b0/79u2Vb6BWM2PGDEaMGMELL7xA9+7dsbW1ZceOHURFRfH6668TFBT0IJ6lQhg8eDCDBw82F+Q0YQRRjUu9rsQe/AljXlax+za+tfFtPxYb72ro0uLIibtC+tUDWDj7Y+1R6bEuEGbm8cNoNLJ161Z69epF06ZN6dKlC05OTowdO5Yvvvjino7xAiRJYsSIEbRs2ZJJkyYxbNiwIvdlWSYnJ8dknOOCSo2td3WM+bm4NehFytltJBxbi61fbYL7ziDp9GYST2woUjRMbeOMa71uuDfpjz47heu/vo1s1JNx/RAZYcdxrNYaWZbuKKSrIKpNX+/tboxG5Qv+iSg3Yxo0bdqUiIiIMts3adKEmzdvsnTp0lLt5s+fz7vvvmsyznFQHOSu9Xti1OUomqZqLbEHlwGQHXUOXXo8Vq4B3FjzHm4NeqLPSsahSksCur9ZOBcFUY3a2gF9dirJp/8g/sgvGPOyyLhxhNykW1i6+JtkTYB/S0k/PrNj/OGgVqtxdHTk6NGj3Lx5k4CAAHr37s3mzZsBxXm+bt06YmJiaN26NVFRUcX6SEtL4+uvv2bXrl0cOHAAGxsbMjMzTU6WDJT5qb4jU8q96UAywk7cN+0bIOPmURKOrcGtQS8ST24EQJ+TgsbG6YmQOjJjWgiCgCAIrF27lnnz5vHdd98V1uJ49913yc3NZdq0aUyYMIH8/Pxy1x2zt7e/v9HDRJZRacsvUaK2ssfSLRBDTjrXf3sXK7dAAru/haDWYszNJO36IbxbDcOYl4lXyyHoc9LQWDtieTvj43FDkszrW1PCzs6Ohg0bolKp+O6774rcMxgMLFy4kMmTJzNr1qz71t4BePvtt0lLS0Or1VbUkP8bgoghJx2HkGfwbPEScX/9XMxEtLBBY+NMVuTZcnWdHXUOQVQhCDKyJCGY4C+6waBo/48bBytXgu4OVdNPP4VKlZQ/+/d/dGM0Ff7VqujEiROsX7++yLWTJ09y8uRJAHx8fAqd4wDNmjVj5cqVfPvtt2zduhW9Xk9ISAgTJ06kZ8+e/2H4ZswoiGoLKvWbyfXVbxY57XOo3Jyg3h+SE3eN66vfUoqlyP+UyrbyrIJHkwE412pfUrdmzDxwJEni4MGDnDlzhpo1awJK8T+NRsOkSZPw9PRk9uzZXLhw4Z596PV65s+fz/Tp05kyZUqRSBq1Wm16qZICyEY9Nt7VsA2oT8aNwxjzspSDrTpdcGsQSm7CDfTZqYgaK2y8qiIZ9aRc2EnMnoVFDr0ST2ygUr8ZZNw6pWjDFXwLtQU2vuVLAXyUGI1K9t2WLRAWBlqtUrSzWjVz9KkpYDAYGD9+PL/99luZ7H18fAgNDWXcuHH3tY2Pj2fLli1069YNtSmEZwgils6+iBoLRI0F+Rnx6JIjihxYCQLoc9JIv36EoF7TEEQVlq7+RO74lpTzO5HylYhcCxd/3Or3xK1RbxyrtebaqqnoMxJIPLEBv44TH9UTmnkCKZg7/v7+fPHFF4WOcYC+fftSq1Yt6tWrV6Jj/E7Onz/P0KFD2bhxI/n5+RgMBtOYl3cgGQ04VW9L/KGVWHlUxta3JjfWvHf/hrdJPLERj6YDca7ZEYCoXd/j236MUjD3CTiwKnhnRkdDRgY4OysFr83v0keDIAhkZmYycOBAxo0bx8mTJ4mKisLKyopnnnkGQRC4dOkSQUFB9O3bl9mzZ5e57169epnUHJVlsHDyxtItqMg7szS0jt5YugWSeHwDrg16UKnvdCRDPjlxV5D0+Vi6+GPlFoRkNODf6XWM+jzi/16FV6shGPNzUFnYmPy8lW5vtXU62LcPMjMV+bEWLZR7JvLje2pp0KABer0elUrFnyVUGJ8zZw5Dhgxh69atdOzYkZiYmHv29fHHHzN48GBOnTpVWNTalJAlCQQB51odSLnwJ97PvoLKwobYg8sK165AoZ5/eWV3pduZkqLa0iQd45KkvAuffRaOHy/Z5sYNGDhQkVgZMUI5yJKkf4K3VKqn53DrXz3mrFmzuHLlyj2/xo8fX6xNnTp1WLRoEcePH+fMmTOsXbvW7Bg388AQRBU2vjWpOvQ7HCo3B0EpshnU6wMybhzm2vKJZNw4XMQxDpAbd5Vbm2YQvXv+Ixq5macJvV5PUlISM2bM4NKlS7Rt2xa1Wo1Wq8XLy4sZM2bQoUMHjh07Rq9evUrt66effsLS0pKOHTsWud6zZ0+TO7kXRDWi1hrJoCe478dYuQaRceMYglpD0pk/uLn+Q7KjL2LMy0SXHEHUn/M4P6c/kVu/KpYNkhmmZC3lxFwqct255nOIWquH9kz/loLFxsyZ4OcHoaHw+uswZgxUrw6tW8Phw/9sLMw8GtRqNa1ataJt29L1CQt4//33ycnJYfny5WWyDw8PRzKRH7IgCNj41EBj56bIoQgiObFXCu+LWmvUNi7oUqJv656qSTm/k0uLXiHp5MYimwtdcgRRu+ZyeclrCCoNIYM+R2VhS17irccuq8PM44EoisybN6/ItTFjxrB79+5ismP3YvPmzYSHh+Pu7m4yTrcCZMlITswlrD0rY+NTE/vgxhjzski/duj+jW+TnxZDVuQ5nGu1R9LryAw7Whg5J8uSycnIlBWjUYmI+/FHReff1xdq1FCccM2bw2+/Ke9SE/mofWqQJIlZs2bh6+vL888/jyiK9OjRg6ZNm7Jnzx7q169Pw4YNmThxIi1atCiztrFGo2H06NEmNUcF5NuZkWX3abjV74FRl4Nj1VYYctKJ2vUd5+f059ry17mx+v+49MPLXFryGqkXlExSUaXBtX43ADLDTynOPhNGr4fkZJgwQZmLXbrAgAHK+jYwED77TLExwdIOTw3VqlXj2LFjgFJY/m6Sk5Pp3LkzdnZ2nDhxgnfeeQd3d/fC+yqVip49e7Jr1y7ee+89Zs6cSd26dctcq+dhIogigiCQcfMYTjXakhl+Gvcm/ak9cR1+nSfjVKMdDlVa4lSrE7Iso3XwLFf/FrftLV0DKmL4D4S33rq3Y7wAWVb2opGRyt8PH4afflIkWAri9UxQNeeB85ScAZh5GlAi2QKo1H8mtcb9SnDfj9FnJRO2YQayVPopYPzhX0i58Ke5SKeZCkUURSwtLWndujX9+/dn7969hYW/4uLi+PTTT6lSpQqbNm3i119/LTW9OzExkfz8fObPn8/nn39OcHAwABMmTMBgMK3fY1mWEAQByaBDVFtQZcgcrL2rIktGpPxc0i7tJWLr/whb/xHhf3xG4vF1GHXFJZIAJIOSC6ZL/UfmSmVlj2eLl4odfpkisgy9e8O0aUrhk7s5cACeew42bjRvHB41RqORjRs30vxuYem7+Oijjxg5ciRTp04lK6vk39u7MbWiRbLRgKi2IDv2CoIgIMv//PI51+pwOxpGxrvtSDLDTxH+xxcg3fsXVJcazfVf3kBr74FbI9OtK2Pm8UaSJHbv3l0k7dvT05OWLVuyaNGiMvcjyzILFiwwTSexLJOfHkdu0i0Cur+JxsYZQ246yOV7QRhyUrFw9iXlwi6MeVlKxodeR8bN4+gzEpBLmc+miCQpaeLt28PIkXD3OcihQzB4MPTrp9ia4o/2SUUQBBYvXkx+fj6//PIL9evXZ/fu3eTk5NClSxfOnTuHXq9nyZIl6PV6FixYUKZ34qeffoqzs/NDeIKyI6jUCCotLnW7YetX57721l7VCt+JRl0Wl5e8VuKaNzfuKuG/z+LW5lkIogqtvTuCqCI/Lc6kD5r1eoiNhUaN4LvvlEyOO4mMhPfeU+atXm8+uHpUWFtbF8oG+vj4lGhz9epVmjVrxh9//MF7771HZGQk586d49SpU8THx7Nx40ZsbW0JDQ3F19cXo9FoUgdXd2LIzSAvKQJDdho23tVAEDDkpONSpwtBvaZRqd8MfNuNAmRc63YtV98u9bqTHXsV59odTdKPpNMpTu6yYDTCnDnKuzU0FF57TYkkr1MHmjWDHTue/Hep2Tlu5olCEBURUI2tC1pHTxKOr0M25he1UWlwrPYsHs+8gGeLl3Ct3wO1jTPxR1abtcfNVCiCINC9e/cixfnuRqfTMXjwYPbu3cvChQvvuQgWRRGtVsuRI0d45ZVXuHbtGnv37uXZZ581wcWJgCxLxB9aybk5/cmKPI+FkzeG7FS0dm7l6klj6wKgOAcAtY0TlZ//X+HGwZQpiBi/I/u/RPR6eOEFSEh48hchpoxKpcLa2pp9+/axbNkymjZtWnjPwsKCwYMHc/ToUaZNm8bChQtZuHBhmftu166dSc1TQaVG1Fgg6XXos1KwdPYvvGfjUxN9RiJWbkFYOvsQu/+nMjnmdClRpF7YhWv9nlh5BCPLMvJjcIBl5vHBaDQSHh5e5Jqbm/JOuXnzZrn6unHjhknVAShEVKG19+DmmvdR2zjhVLM9oqb8WVKCxhJRbUHiCUUWU8rPITv6IhpbZy4uHEpG2InHykEuiorze9++0u3Wr4eJExVpKDMPh/T0dBISEopcy8jI4OTJkwQEBNC3b19efvll+vXrR79+/ahfvz5bt27F07PkiE0rKyu++uorpkyZYpKOYUEQ0GcmETLoCxyrtr6nnX2lZoQ8/6UiIajWcmP1WxiySy9ImnJuG3F/r0CWjBjzspVaOya8MFSpoGtXyM6GoCBwdy957u3fD2PHPj1SDaaG0WgkMjKSrKwshg4dek+72NhYRowYgbe3N5MnT+bAgQPUrFmT9PR0WrRoQfPmzWnXrh1DhgwhKioKa2vrh/gUZSflwi5c6nYmK/o8uvR4ov78HrWlHUZdFplRFzHm54AA+swkrNyDsQ2oX6Z+rdwrYedfF9moxyGkmcn5kfR65R149yFVafz8s1Ko8+7E2SNHoEcPWLDgyT7UMn8kmXkiEQQBZJmUc/9UX1ZZ2uHd5lVqjf+N4D4f4dF0IG6NeuPXcSK1x/2KZ7NB5Cbfv+iEGTP/Br1ez+bNm/n777/va2s0Gnn//fcJDg6mU6dOJdo8++yzgBK16uPjw6RJk2jRokVhJLqpIBsNpF39C1GlIT89HmNuGonH1yIIImmX9+NQpSWituhiysojBP8uU6g2fCE1Ri6j6rD5+LQdidbRC5fanZD0eRhyMvDr9Dq1xqzC0i3QpDcLBcgy3JX9f0/y8pSomyd5AfI4oFKpUKvVDBo0iMOHD5OZmUlSUhIZGRksX76cBg0aYDAYcHJyKnOfbdu2pXLlyogmtitU0kk9SL34J/aVmqCxV1JoVVprdGkxiForchPDyI46V+Y+E09sRGvvhnuTAeQmmF66rZnHG0EQihWf1t/O+y3v4ZPGRMWpBUHANqAeslHPlaVjEbVWaGydsfIIKXMfotYaO7+6pN84TG78P/NQ0udi5R6Mxs6Vm2vfIy8p/LFwkEsSXL2qbPrLwqJFisyDmYdDSe+2lJQU/P39iYmJYd26dfz000+sXbuWTZs20bFjR+rUqUNERASrVq2iR48eNGnShHbt2vG///2PuLg4Xn/99Yf/IGVFENA6eCKoNAT3nU6Nkctwa9wP24D62AbUw61hb6q/+iMhA2fdlgQUSL24m/yM+DJ1n3BsLbIsI2qtsA95xmRPegwGuHRJKfiXlAQ3b0J8vFJX5623wO2uWJjly83z8lGRmppKkyZNWL58OSNHjrxv5kZaWlphcV1RFPHx8eHnn3/m0qVLjBs3jtGjR5Oenm4ycoF3kxN7FWQZC0cfrFwDcKvfE0NeJpeXjsHGM4S4v1eQG3edvJRIsqIuEBT6HhZOJUfUF6CxdSG473SM+jxsvKuDCW5DZVnJ5CgPCQnKO7akbY0sK4daZ848udnNprUzM0FWrFhB165dSUpKetRDMVNODHmZhXrFWgdPqg6dh1uDUFLP7+LCgiGc/TqUc9/04ezXvYj6cx5WHiFYOnqZvJabmccTjUZTrCJ4aRw5coSTJ0/y2muvlXh/zJgxnD9/nr/++ou8vDy+/fZbBgwYgCAIJuUgF1Tqwkg1Qa3BPuQZvFq/DCjFNUW1Fpc6nQGlSFGVl+ZQ/ZVF2FdqSnbsZdKvHSIv6RYu9bpTc/QKPJq/iKC2oOqQb3Gs2gpdagwgmNxp/d0YDLB1a8lSKvdiyRIlCsfMo0GW5cK5VOA4s7a2xsnJqVDXv8B53rt3b5o1a3bfPrVaLTNnzix04JkSgiBg5RpATuItJH0e7k2UsvXG/GwElQZDbibZ0RfL1WduwnUkox4LB09i9i1RNM3NmHlAqNVq2rVrVyTiOzo6Gp1Od185pLt55plnTHJeAiBLuDUIRZccwfnvBiEZ8nFrEFrm5s61OyKo1ERu+V+R6xpbF2SjAdf6PZEN+cT9vcLkM7AKmDu37Lb5+bBwofIeNlPxODg4EBBQVH93w4YN1KpVi0aNGhWzP3jwIJUqVWLq1KnUr1+fTZs2ceTIEf78808mTJiAnZ2dyckF3okSza7IHxl1OeTEX8e33SiqDJ5NlcFf49thHHnJEVxbOZnYg0uxcPQk6dR9UgjvwJCdQvrVA8iyhK1vTZOeo9Wq/VPc77nnoFcv+PNPRUowPFy5XkB+Pixe/HToGJsaZ86coV27dmzcuBEnJyd++umn+2ZONW3alM8++4ylS5fSvHlzHB0dcXR05LnnnmPlypVUqVKFtLS0h/MA5UCWjDjVaMeN397GwsEDoz4fSxc/bm2Yjpyfg6jWkpcUTl5yOIKo5uba9zDqsqkyZC4udbshaooewAsqLc41O1B16Lzba+N0DLkZgGn6j8obzG9hoWR05OSUfF+SYPbsJ3d/anaO34fBgwezZcsWk6y+a6Z0BEGZtSpLW0IGfY4gilxa8hpRu+aiS44otDPqskg8vo5Li14h9cp+MM0DeTNPAPv37y+X/YEDB6hcuXKx6y1btqRXr17FipCtX7+epUuXmtTJvTE/h6xbJ9ClxuDVYgghAz4tTAmXDDpSzu/Eu82rOFZrQ9Vh81BbO3JjzXuc/+55Ird+RfTu7wn/fRbn5vQjYsuXyJIeQ3YqN9a+z7m5A4j9axmiSo1kgjpvdyJJSvSMRgP9+8OmTXDypPL1++/KhuHuwMXYWPOm4VEhSRJxcXF8+OGHVK5cGWdnZwICApg4cSI3btwosc3WrVt55pln7tmntbU1a9eupXHjxiYbpSobDfi0fhl9ThoeTfrjUrcbWZHnsPGujjE3o4gWedk7lclNDCPj+iFSL+4xSU1GM48vXl5edO/evfDfmZmZ/Prrr4wdO7bMEgy2trYMHTrUpKSO7kQQVbg3G4hD5RYYc1KJP/wLzrU7Y+1d475tNXZueDZ/kbSrB9Fn/RPoY+nij413dTJuHsOlThcEtZa0K/tvb/JNG1GEU6fK1+bUKTDRH+8Th8FgKBbYsWXLFsLDw5kwYUKJbdLT01m5ciVxtyMIIiIi+Oqrrxg1ahSjR49mw4YNGAwGkwr+uBPZqEe0sEZlYU3SyY2cmd2D8/Ne4ML3gznzVQ/C1n1A5q2ThdKAecnh9+mxKHlJ4YBsspkdRqNSwC8oCPr0gT17oEkTpcBfjRpw9Chcvw6//ALPP/9Pu6tXi699zVQ8Fy9eJDMzk5dffpnBgwfTr18/jh49yoQJE6hTp6h2vo2NDWPGjGHPnj3cunWLsWPHcvLkSTp27IiTkxN16tThpZdewsLCgrNnzz6iJ7o3gqjCPrgxgkrD1ZWTQDaSE3eN7OgLhXVGBEEgLykca88qSHodV5aNIzvqHP5dp1Br/BoCe76Lb4fxBHR/i1rjfyUw9F1yk8K5sfZ9RR5UEDDkZpqcdKBGoxTELU+ySUHC+rlSkkR//fXezvPHHbNz3MwTi9rKDq2jF+5N+qOxdeX6L/9HflrMPe1lo55bmz4hK/KcefNupkIob1SaTqcrjFAtoFWrVmzatIkDBw6UWHDsu+++Q6PRmMwGQsrPBUFE0uehsXPj5tr3ubZ8IrJkxLFqKyK2zSY3MYzA0HcxZKdyZdlY0q8eLKZpLBt0JJ/ZwpWfRoMA7o37gmRE0ilvZ9HEI8cBatdWImd+/VVJVzt0SPmys1M2DBERMHz4P/aiaN40PCrmz5+Pn58fM2bM4Pr166SmphIREcHcuXOpUqUKU6dOLWKvVquxtbXl4MGDbNiwgfbt22NhYYEoigQGBjJ9+nTCw8Pp0qWLaeoaFyCAXWADDFmpZISdJKDbG9j41UYy5IMgYOnkW67uNLYuiGot8YdXA5CfEY9sirmnZh5bDAYDH3/8MTY2NoXXtm3bRkBAAMOGDStTH2+88QZWVlbk5uZW0CgfDMF9P8azxUskntxMTuxlQgbOwta/3j3tLZx8qPzCVyAZidrxbZF7bo16o89OIeH4WmW9bO+BbNSTE/94yB+VV0ntMVBee2JQq9WMHj0aDw+PwmuSJDFr1ixeeumlEjMinZ2dOXDgAFWrVqVbt24EBgYyZcoUFi9ezIIFCxgwYAD+/v4sX778YT5K2RHViCoturQ43BqEIuXnkp8Wgy41Gin/Di9S4S9iOSOxbnu3TDFq3GBQ9Ijbt4fUVCXrMSpKiRbPzYWLFxWpBj8/JVBk6VJo0EBpq1ab5QMfBQaDgZ07dzJgwAAWLFiAWq2mQYMGfPPNN5w5c4aYmBg2bdrEjz/+SExMDHPmzCElJYXGjRuTl5cHwIkTJ1i/fj1jx45lypQpXLp0iczMzEf8ZPdAlqjUbyZBoR8gaixJOv07AMa8LIy6bKw8q5B8dhuiWotz7Y4YczO4uXYaF+a9QNLJjWgdPLELqI+Fsx8p53dyYf5L3Fj9fzhWaYmk15GfEY9Ka3p664IAgYHQoUPZ24wZoxx03V3k+k50OmVOP4mYvjfBjJl/iSwZcW0QikutDqSc344uNfr+jSQjcQeXKpsJM2YeMP7+/ty6davM9oGBgaSkpGBvb0/Lli0ZO3YsnTt3Zs+ePfTp06dEZ/uJEye4fv06ISFl1yOtSEStNc61OmLlHsz1X98m47pSjDTt6kHcGvYi6eRGUs/vxMa7GjfXvKcUGyoFXUoU4b9/RsjAz7DxrY3Kyv5hPMZ/Rq1WipusWAGffgoXLhS9X6MGvPmmkmLq6akU7mzR4tGM9WnGaDTy888/M3bs2FLt/ve//2FhYcEnn3xSeK0g6rRr166EhhaVPDAYDCYblVqAbDRgyE3nxm/vkhN7GVAcaB7NXkCltUJw8MTS2RcLJ5+yvU8B1/o9MObnknZFyZoRRNP+PzDz+KFWq6levTrbtm2jR48epKWlYWdnhyRJLFiwgIyMDNauXXvP9uPHj2fatGlMmzaNOnXq0Lt3b5M8wBIEERkZr1Yv49lyCOnXDqGxc6HKi1+TFXmWxBMbyIm9giwZsXD2w7V+dxyrtESXGsPVFZPQZ/0j7utYtTWuDUKJ2bsIKS8b4J/UcRONTL0TWVbemX/9VfY21asr0a0m+KN9IrGzs2PHjh106NChsDjn/PnzqVWrFgsWLGDs2LFcv36d+Ph4/v77bwYNGoSzszPNmze/Z3ZWbGwsw4YNIz09nXHjxplU3Q5Rpeba6jexcPHDr8N47EOeKVzv3kl+hvJ/Ye1ZmcxbJ8vcv7VHFUw1tVmthpdfBktL2L0bKlVSNMZ/+klxlhdgbQ2DBinr2507oX59aNxYmZcm9KN8KnB0dKRFixYYDAb27t3LggULuHB7Y1K3bl3GjBlDt27d0Ov1aDQajhw5QufOncnKyirSz7x589i7dy+5ubksXrz4UTxKmRHUGlSW1giCQH76bb1/WSLl/A5c63Yl7sBS0q4exKPZINIu7cWQk0Z+ehwxe38osT+toxdu9XuSfHYrMXsWEvL8l9h4VQOVaf0y6/XwxRfK+zI7u3Tb7t2VyPEhQ+7f75MavGXepZh5YhFEFW4Ne6HSWJJ4clOZ22XeOokuNRqto7dJVkU383hiMBgYPnw406ZNK5O9i4sLvXv3RqPRkJ6eDsDx48cZMWIEy5cvLzUKPSEhwWSc4yqtFZ7NXyD9+uEiG4XE4+up8uLXeDR7Hqeaz5F+7VCZHW4ZN46SlxKFW8NQRI0VuQk3sXIPrqhHeCCIIkyfDh98UPL9ixdh6FAl7fSTT5RU0379lEXNk7oAMUUkSeLNN98sk+0XX3zB66+/jttdVaZKkkwxece4JGHMz+HKsnHkp/1TvSfx+HoST2zCsWor/DqOR7BywL1JPyK3f3PfPkWtFS71upNyfmdh5Jytf10EwbQ2DmYef9RqNc2aNSM8PJxFixbRtGlTRFHkxIkTrFmzht9//5158+axfft2JElCo9HQu3dvxo0bR6tWrbh27RozZsxgwYIFSJJkks5xUFK/E89swdLZF4cQpcaBZDRg7VmVoF5F1xZ5SRFE7viGlHM7kfRKRLzK0ha3Br3waq2kKKVd3o+Fs5INYtQpTg9LF/+H9Tj/GklSioL9ULLPohgqFYwaZXbAPUwKDq3Onz/PN998w9KlS3nttdcYMGAAoNTfcHd3p2rVqowePRqDwcAff/xBZGTkffueNGkSvXr1ws/PzyT2abJkJDvmEpm3TpAZfgr7wIYE9/mIiD++IOXCLu6s1JcTe5ncpFu41u9ZZue41t4D+5BmmGLFP4MBDhxQ1qzbtilRqq1alSzJkJOjRJXv2AEHD8L27Yq9eY1bdnQ6HYcOFT90KQ8ODg7Mnj2b7Oxsnn32Wa5cuVLkflxcHNu3b6d27dps27YNgNDQUDIyigcv/f333wCsW7eOzZvLrqNfFnQ63YPrTBCRDbnc+PVtqr28AFH9zy9d4slNuDXsjUu9rkTv+YEaIxZTefBsrq96o4gU2Z1YOPtS+fn/IcsSsQeWIunzCFv/EbXG/vLgxvyA0GiUw+QdO6Bnz3sXwe3VSwngWrdO+bM0/PzAy+uBD9UkMO3dmhkz/xFRpUHS55GXGFaudllRF3B28ATBNDdIZh4/CtJMZ82aRU4ZhLpGjhyJIAhERkYyZcoUrl27xunTp8v0veztTSeaWjYasXTxJ+rP74tcz4o4TezBpfi0GwlA7IGfytMryWe34tVyCIJKQ+Lx9SbtHDcYYO/eezvG7+Tjj6FZM5gxQ4m+MXGf6hOFXq9nzZo1hVFuZbH//vvveeedd0ze+X1fBIjZv6SIY7wQ2Uja5b1k3DxC1WHf49awNznx10k+/ce9u1NbENT7I1QaSxKOKJIqVm7B2PrWqqgnMPOUo1arsbe3Z8KECYiiyMcff8wHH3zAkCFDGD9+PFu2bEGn05GdnY2dnR0ajYY9e/bw6aef8vbbb9OhQwccHBxMKhr1TmTJSMrF3UTt+IY6r29AUGlIu7KfqF3foc9IQOvohdbBA8eqz+JSpzMWzj7YBzdBbeWALEtYOvvjVP1ZEFUkHFuLS53OONVsh6WLP3kpUeSnxWEX2ACtg8f9B/OIUamgbl1o106JVL0fAweCt3fFj8tMUTQaDa6urnz00Ud8+OGHSJLE999/z/fff1/EIVe5cmVGjRrFmDFj2L59O927dye7lBBHSZKYO3cun376qUkcZAmiisTjSuF5ZImwDdMJ6PZ/BIa+i2fLISSd2kR27GWQjFg4+SKqtDhWbYWlW1CZ9qcezV9Q3sM3juIQ3MSkZARVKvjtN2Xd2qkThIaWrlUMiuRKz56KbINZUqXsODo6EhgY+J/7GT58OFqtlhYtWhAefm/t+3PnztG2bVsOHz7Mu+++y+uvv17MxmAwIEkS+fn5eFWAt9TR0fHBdCRLxB1eRU7cNQw56dj61SXtygEA8hLDSDy1Cb8OE8gIOw4IqK0cqDHqZ1LO7yTp1CbykiJAAGuPyrg26IlT9bYYdTlobByxcgsiK+I0+sxE0q/9jUPIMwgmNEdB2Us2aQKRkfDzz8ohVUSEUnyzVSuYOBEaNlTm8pAh95+Xr72m2Jjocuk/IciyWYWtLPj6+hIdHY2Pjw9RUVGPejhmyoExP5czX3YpV5uAbm/iXKuDyX24mXm8MRqNbNu2jT59+pCfn39Pu44dO/LHH38gCAKCIFCpUqUyy7EEBwdz7do1k9vgn5z1XInp2n6dJuHWMJRLi18lN/5amftzqtmeoND3MObnkhV5FvvAhiY9X7t1gy1bymbbsaMSUWMwmJ3jD5vhw4fz448/ltm+ZcuWHDhwoAJH9HCQ9DrOftMbQRRxrt0Z13rdsHDyQVCpMeRmkHZ5P0knNpCbeJOgPh/hVO1Zkk5tJuHYWvKSbv3TkaDCofIzeLV4CQsXf26ueVeJjhNEKvWbgX1wE5Oep2aeDHJzc/H09CwS6da4cWOaNGmCra0t6enp7Nu3j0uXLgFw6tQpoqKiaNOmDba2to9q2KUiyxLn5w7EsXobfJ8bTcr5XYRv/pSSoklFrRXOtTrgWq8Hlq4Bhdezoy8QtmE6huxUqg3/gdyEGzjVfI6Y3QtIOLaGSgM+wz7ItN+lBRgMkJkJbdpAaTXgWrdWIlotLJ7MjfzjgCRJ6HQ6OnXqVOr7snnz5mzbto09e/YUkya7G19f3zJFmT8szs97oVhdKxvfWrg1CMWpRrsiWuEZ4aewcPRCENVcWzEJXcq9n8PjmRfwafsa8cfWkH55P1Ve+vaeto+KF15Qiv41bw6VK5dd33/PHmjZ0rzOLQsLFy4sJmnyb7C0tGTEiBFMmzaNzz77rExtZsyYwbhx4/D29i4W3BUYGEhYWBibNm3i+vWKqVdha2tbYp2C8iBLBs7N6a+8+15ZhIWjN+e+7YOkV/TTEVUE9/oAhyotidm/mOTTv+PaoBeu9bsrBTfvQJcaQ+LJjSSd/oMqL35Nfno8N9e8C4BDlZZU6jfjP421oikpI9lggPh4RX7sfrLxvr7KAdiDOrcwNcwfR/dhxYoVrFixgqSkktMqzJg+Kq0VamtHDDlpZW5j4eJnXkWbeeCoVCo6d+7Mvn37eOedd9izZ0+R++7u7owcOZL333+fs2fPcu3aNfr06cPIkSN5++23y/Q9Ro4ciV6vR6VSmUw0q2Q03FPHNPHkBkUeRV2+vEpRpdiLagvF4WYCqbX3IiFB2ZyXlZ07ITb2yU1ZM2XKktVxJ6ZewK8syLJExs1jONdsj2/7MSCqSLtygKSTm5CMeiwcvXCu3RG3Bj1Ju3qwsHC1T7tRuNbvQXbMZXSp0QgqNTbeNdDau5EVdZ5ry18nJ+4KiCoCur6BfcgzJj1PzTwZ6PV6fv7552Ip4MeOHePYsWMltvn++++ZN2+eyf5+ykYD6TcOo89MVCLW8rKI2PIl95JZkPJzSTq5iaSTm7Cv1JSQgZ+RFXUBQ24GhuzbIsCCgF1gQyRdDsnntuPd5lUcQpo+vIf6j6jVSjHrQ4fgyy9h4UKIvkOZrVIlRUpl4kRlOW9e0j86RFFk6NCh9z1I/vvvvxk6dCjr1q2jRYsW/FWKqHxZM7weGiWscbOjzpMddZ6Eo79RbfhCov78npRz2zHkpKGxdaXy4K+o9vJ8xdF2chP56XFKQ0HEoVJT3Br3wz6oISkXdhG9c65J1uyQZaXAfL9+SuZjeUIuFyxQDrfM3J//6hy+E71ez5IlS8pka2FhwcmTJ7G1teWDDz7gf//7X5G598orr2AwGOjZs+cDG19FkBN3DUN2KipLWyyd/RDUGjyeeYHY/bf/HyQjWVHnsa/8DMmn/8CQk07cwaXE/b0cO/96aGxdQJbJz0wgK+IsBe/exBPr8e8yBa2DJ/npcRiyUx7dQ5YBWS7+LiyIAPfwgD/+gB494LaaazH8/WHXLrij/vkTh+l9ypoYgwcPZvDgwYWR42YeP2RJwqVuV+IPrSyTvaWLvzn120yFoVKpaNiwIbt37+by5cvs27ePvLw8AgIC6Nq1K0ajkSVLltChQwf69u2LWq1mwoQJrFq1irOlhUfxTxEVCwuLh/Q0ZUNUqVFZ2mLMKx71kJ8ej2TIx9avLtnRF8vcp21APfIzElFb2SGotEpJbhMlKqp8qaOyrKS7mZ3jDxdJkvDx8SlXG+8nIVdfltDYu+HfZTKJJzcSe2BpsQV+zP4lOFVrg3/nSVR+/n9cWzkZz2deID3qHHYB9bHyrIwxJ43smMvcWPMuuXFXUVs74N50IO6N+qCxdzNZx6OZJ4uCQ+EOHTqwf//+MumWHj16FJVKhWSqOf6CQGb4KQS1BdbulUg4thbZeO/sszvJuHEUXWoMGjtXjLnKjlfUWmPp7Aeiiqidcwjo9iaOVVtW5BNUCGq18vXOO/Duu3DqlFIA0M0N6tUzZ1+ZArIsEx4ezpo1a8pkv2HDBq5cucKYMWNKdY7b2dk9qCE+ECycfcjPiC/xXk7cVTJuncCtYSjJZ5VICX1WEleWjsGzxRDc6vfEo9kg8tMTkI35qG2cUFvakZ+VjFGvIy9ZiSyXJSOyLIEMgomc9hiN8PzzYGUFN2+Wr+096q6aqWDOnj1LYmJiqTaBgYGMHj2a4cOH4+rqCsD//d//MWnSJNatW8d3333HyZMnGT16tMkEYpWGMV8JZHGo3AJBrSHu0Cq8Wg5Bys8h/rCiE25fqQkZN44WDaaUjGTeOnHPflMv/Il/lynYBTYk+cwfiBqrinyM/4QsK/vRuXNhzRpISQEHB+jdGyZMgKAgeOYZZV5+/71y4FyQnFO9OoweDcOHg1b7ZNcJMI1PVjNmKhJBwK1RH0SNZZnM3Zr0Q5YMFTwoM08zGo0Go9FI5cqVefHFFxkyZAhOTk68+eab1KpVi379+hEcHFxYgDMlJYU9e/bQsuW9N6+tWrVi586dqNVqDAbT+v2VZQnnmh1KvCfl55B6cTeuDXpCGQv1qawccKrRDmN+LpmR5zHqsjFlhbB/s4gwsfONp4bhw4eXy37YsGGlFsd9LBBU2HhVJe6vn4ncNrvkyBfJSOrFP7m6YhKWroH4dpyIysKGrMizhG2cgSiqMOqycazSgurDF1Lv/3ZQ5/WNeLd5FY29u7kIp5kKp+C9JwgCr732Gjt27CAqKorPP/8cf//Si0wajUrUp6nJkRUiiMgGPdaeVRA1FqRe/LMcjWVSL+5GY+2IIVeJpneu3RFBrSE/Mwn/zpOwr9SkYsb9kFCrFe3jRo2gQwfFMV5w3cyjRZZl5s2bV+Y1mizLLFy4kH79+mFldW9HU/fu3R/UEP8zstGAS73SxxN/aBVaew+qDP4Kx+ptcarRDrugRqRe3M3Zb/sS/vvnpF3aQ15KFKLGkqzIs5yfM4DU8ztxrqWsn7WOXgiCaDKOcVDmWMHWpLxr3SfZwWbKlKbnD9CzZ08uXLjAiBEjWLp0KQ0aNMDHx4fKlSszZcoU6taty/79+zl//jwODg4PadT/DY2Nc+GfxrwsYvf+QOxfP+PTbhTVhi/EpW43VFb2/2RWlRFJn4dRl4PKUpFjs6/UBPkemdKPms8/Vwrgfv65cpCVlgbh4fD110qm1bRpynx2cYG33lKCtHJzQaeDixeVTCwbmyd/3prOp6sZMxWEIAhobJwI6v2BEmFaCq4NeuJWv6dJpq6ZebJQqVSoVCosLS1xcnJi5MiRfP3116xYsQIXFxfefvttnnnmGRYvXkzdunURRZEDBw5w6NAhXnzxRerWrUu9evV48cUXOXToEPv378fR0RG1Wm1Sp/iy0UB+RgKuDUOBkiNHE09uxMLRC9f6PcrUp1eroYCAZMzHIbgRglpD0uk/TNZBXrWqstgoK46OUK1ahQ3HzD0QRZGaNWuWegh1J76+voSGhqJ57FeKMrmJYcTsW3xfy9z4a8TuX4JLrQ6IGguyIs5gH9wYfU4al34YTk78dfKSwon+83vCNnxM2PoPzBHjZiqUAsd2gU6xs7Mztra21KxZk6VLl/LKK69w5swZ2pSSv1+lSpWHNNp/iWREa++GykLJZS6PTCCAPicNQaUm7epBRK01Hk0HYMhJJzviNJkRZ8xrXjMVhiiKXLhwoVxtLly4gFarLYxYLYkJEyYUzv1HjqjCqdqzaB0872mi0lojiCosXPwJ7v0BQb2mEdz7Q6q9PJ/qIxZjF9gA28D6OFZuTsb1I1xb9QbIRnKTbqG1U/4fXOt1w6grn/Tbw0Cvh5wcJeq0PDzzjBJ5bubh4uvre897HTt2ZO3atWzZsgU/Pz+mTp3KqVOniImJ4fr168yZM4fq1aszfvx4/P39TaIgblmwcgvE0i0IWZYKgzVi9y3m2sop6HPS8e86FWv3Soia8kcmiRoLJIMOQW2Ba73uReoLmAKSBHPmKA7veyXHybIii/Tpp8rfC9wIlpZKpDg8+U7xAszOcTNPBYKowj64KVWGzMEh5JliEaqWbkH4d30D/86TTdbBZubJRKVSodfr+e2336hfvz5NmjThf//7H7NmzSq0mTZtGo6Ojqxdu5a8vDx+/vlnTp8+zalTp/j555/Jzc1l2bJliKJocpFvgkpN0qnfsXTxx6f9mBJtcmIukXB8PX4dJ+Bcu1Op/Xm1Ho57oz5E7ZzDlcUjuPHr2wiA1t6d3ITryCaYFq9Swcsvl91+2LB/FiNmHi56vZ6VK1fidR9NG1tbW9avX/+EvC8EEo6tLbN18rltyLKELj0eXUoULnW6kHx6C5Yu/lh7hBCzfwmJJ9aTevFPJL0iaSEbTSubxcyTgdFoJDc3l+eee46OHTuyadMmUlNTyc7O5uLFi0ydOpXAwECOHj3KH3/8QePGjUvsZ+TIkSaXcVUEUYVznS5IBiVLRdSWL3VbpbVCloxkhp+mUv+ZaO090Ng44VD5GWz9aptUJKoZMwXc6/06fPhwGjRoYDqOOVkCWabSgFmobZwAsHD2wz7kGbzbjqT6K0sI7PU+kl5H2tW/CNs4g/PzXuD0/7pxbeVkchNu4lyzPZaugdzaPIuba99HNijvTgHl/0HUWuNStyvZ0eU7aHgYaDSKE23oUChrPWNBgPHjK3ZcZkomODi4xHehVqtl2bJl7Nixg0GDBpVag2fu3Lm8/vrrhcEPJv3+RFmDujXsTX56HCpLWyycFAnFzFsniNr+NYIgkBN3FbvAhuU6LLYLbICo0pCbcAPv1i8jaq0r6hH+NTodvP9+2Ww//vj+BTmfdMyrITNPDYIoYu0RQqUBn1Jr7GqCen9AYM93qTrse2q8+iMut51y5ig3Mw8bjUZD9erV2bdvH3q9nk8++aTw3osvvsjEiRMZPXo0/fr1o23btvj4+NC4cWMaNWqEj48P7dq1Y+jQoQwYMOARPsW9yYm9TMy+JXg06U9A97fQ2LsXs4nePZ/chJsE9nibKkPm4lSjXaF2m8rSDteGvaj+6o94tRxC9O75JJ3cCED69UPc+O1d7IMakpsQZpKbfFGEqVOVYif3w80N3nij4sdkpmQ0Gg2enp4cO3aMHj16lHjY1Lp1a/766y/q1atnUlka/xZBEEi9UHaZBmNeFunXDyHl5+D97AhUWiuSz27Dr/Mk8jMSSLt6sNDWxqcmkl6HoHr8/5/MmB6CINC9e3d27959T5vMzExCQ0M5d+4cixYtKna/Vq1adOjQwaTnsiAIaO1c0Tq4Ixn1SpBHOXCo0hJDbgY1RizGxrsa1399m5vrPiA38RaCICo6xmbMVABGo5E6deqUq03t2rXR6XQkJSUVuS4IAqNHj+aHH34wqYNpQVQhqNRoHdyp8epP1Bj5MzVH/Uylvh/j+czzWLj6IenzENQanKu3ISj0PWqNWUmlvh+jsrQjbMNHXF7yKlJ+Dr7txyBa/ONhtvIIwZCTRnDf6QgqDSpLO5OUbRBFRXf8//6vbPZDh0JAgFIXwMzDRa/XM2HChGLX+/Xrh4eHB5MmTSpTVsbcuXO5evUqGzdu5IsvviA1NdVkneSCSo1r/e4ggyEnXZHyvE2BHnny+Z1obJ1xKEf9DbeGvclNuoVDcFM8mg164OP+r+j18PPP9y6weTe5ubBo0dM9LwXZlN4uJkxBQU4fHx+ioqIe9XDMPACUCFPZ5NJfzDy96PV6li9fXkT3+MyZM9y6dYvQ0NAy9TF//nyGDx9uUlIPYRumkxl+mjoT1ymLekEg/dohsiLPIhv1WHtWxalGW0S1lvzMRGSjAQtHJXK3IAVOliXSrx8m/vAqsiPPFfsegb2mYe0Rgtbe41+lxVU0ej1cuQIdO0JsbMk2np6wfbtS+MSEfnxPJQaDAbVaTXR0NKtWrSI5ORk7Ozv69OlDtWrV0Ov1JjXH/guSIZ/Tn3csVxu/ThNxqNoara0L0XsWYh/cBBvvalxdMYmcmEuKkaii1thfyI6+hFO11hUwcjNPM3q9nq1bt5b53di+fXt27txJy5YtCwv9+fv7c/DgQby8vEzaOQ5KMT5jfi5ZkWexdPHn4vyXgPtv4aw9q1Jt+AJkoxEEuLZyMlkRZwrvO1ZtRWCvaYqDz1wbwMwDRpZlIiMjCQoKKlPBW0EQuHnzJrIsM3r0aCIjI7G0tKRdu3aMGzeOgIAAZFk2yUAmWTIiiCrykiOwdPEn9epBbH1ro7F2ICfuKoknN5Ibdx1BY4lLnU7YBzdGa+dGfkYi4b9/ij47lWrD5pMTf42ry8ahsrSj9oS1hfvVqJ1zCehm+tETEyfCt9/e+36fPrBqFaxYoWgev/eeuT7Ao2Do0KEsW7as8N8FBaw7dCi5RlRJvP7663z22Wf4+PhgNBoLM7RM8X1aMI+yIs5i5RHCpUXD0WcmAgI1Ri0nO/oCWns3NLYuXFk6FmNe6SHUdoENCXn+C6TbmuN5qdFY3o5INyUGDIDffiu7fefOsHVrxY3H1DGvgsw80dydyi3LUmGEjCCKIAhIRj2S0YBkfMyLqpl57NFoNIWbdoAWLVpQp04d5syZU+Y+5s2bZ1JOO9lowKl6WxxCmiFLRvLT48mJvYp9UCN82r6KT9tRONd8Dl1KJFeXv875Of25MO95LiwYQtjGGURu/4b4I7+hz07Fyi2I/NSSPctJJzZg6eKPMd/09BhBcXZXrQpXr8I33ygO8AKqVoXZs5V7Zse4aVCwsPf29mbChAlMnz6dqVOnFmoTlzbHjEYjer2+SASNKRftFFTqMhfDLUDUWKG2ckAy6PBq/TI2vkqEuGfzwdgFNQYE3Br0RGvnRvr1vytm4GaeajQaDXPnzi2z/Z9//snVq1cZOXIk9vb2jB07luPHj+Pp6WmSG/m7EUQVKo0ldgH1sXT2xaPZwPu3UWvx7TQBQ046+VlJpF/7u4hjHCDtygHCN39qdoybqRAEQcDf35+BA+//+wrQv39/AgMDEUWRbdu2ceHCBU6cOMGsWbMKC+uapGPcaMCYn0vEttlYOPmQeHITGhtnRLWW67/8H5eXvEb61b9wqdeNkIGzcKndCUmXQ078dUSNJZVf+IqAbm+SEX4Sa69qqCztcW/SD0FUIao13Nr8KZ4tXkKWTD+k85tvYP9+GDjwn/WsKEKXLrB5M6xdq3y99hosXKhIrJh5uMiyzI8//sj06dNxuV0UqU6dOmzfvr1c/Wzfvh2tVkvVqlVJTU2lc+fO3Lp1y3TqAdyBLBuRJCO2AfUQtZaEPP8ljtXa4NaoN3nJ4TjVaEf8kV9RWzlQ+YX/obG9d80D+0rNqNR/JrIsIVrYkJcag9aueFa0KVCKOk6J5OZWzDgeF0x/NWjGzL9ANhpAgNQr+0k+sxV9RjyCSottQF08mg5EY+OMoFKjS40h/epBjPm5qK0dca7RDrW1Q+HpvxkzD5s7nWidOnUiLi6OP/8su+TB2bNnuXjxIjVq1KiI4ZUbQaXGoUoLHCo3B0Eg/shqsiLPUnXoPATUSMZ8dAkRXFs1BSn/nzeyLjkCXXJE4b8Tjv1G1SFzCe73MVd+Gl3s+2RFnsWYn4uoNr2o8QI0GuVr9GiYMOGfQkQqlRJZbnaKmx6CIKAtowC8wWBAFEX27t3LrVu30Gq1tGzZkqCgIJKTk3F0dESlUpnU4RWAIIjYBzch48bhstmLauxDmiGq1Bhyc0i9+Cf6rBREjSUOlZtT+fkvyM9MQmPjRMLxdVg4epnfqWYqhD179pTZVpZldu/eTf/+/YmJicHKSpHtMrU6HaUhqNSIgogsy/i0GwWiivhDv4Bc3BGhtnYgqNcHWLuHkJ8Rj8rSjqg/55XYb+rF3Xg88wJWbkHmeWrmgSNJEkuWLCE+Pr5UCaQ2bdqwZMkS1q5dS79+/ahatSpz586lbdu2pqMvXgIFtW5urP4/3JsOJC85AkN2KtYeIVxbMUmJSHX0pvLzXyJaWJNwZDVJp35Hn3VbNkZQ4RDSDPfGfXG8LZkU3G86dv710KXGYOHkjX+Xybe1kE3bk5yTA4MHK2vcX35R1rYZGYoWuYUFnDih1OBZulQp/BcbqzjS27Z91CN/uhAEAUEQeOedd3jzzTf57bffsLGxKVVnvCQK7AvepxkZGXzyyScsWbLkgY/5vyOApMeQn0N+egJW7kEE9/kQyZCvFNQURSr1/4TM8FNYuQVTc8xKUi/tJfnMFvLTYhFUamx8auDaoBe2vjWRDHpSzu/CqXobLJ28TVaezKecwezltX/SMDvH78OKFStYsWJFMd0zM6aLLBnJTQzjxm/v3E6X+QdBpULVeji5SbeI2jWXrPDTRe5H7/oOx2qt8es4EZWFjVkn1cxDxWAwEBwcXPhvJycnEhISyq2tGB0dbTLOcQBkGX12KmorO1LO70TKzyFs/YcE95+JSmvFzXUfIAgq3Br3xdanJqLWqjB9POXcDqT8HPQZCdza/ClVBs/GNqA+WeGnin0bKT+3sBiSKVPgG71zr2di/lIz5aAgVfybb75h7ty53Lp1q/CeKIp07tyZDz/8EHt7e2JjY/H19TUpB7lsNODWqE+ZneMOVVuisXYkes9CEo7+hnxH1lXM3h+w8amJb4dxqK0dSL/6F4G93jc73Mw8cAwGQ7n1TfPy8hAEgTlz5jBlyhREUcRoNCJJkknNydK4s66GT5tXcW/Ul8QT68m4eQzJoENj44xzrQ441WgHsnS7mJ8V11dNJT/tHppeQOLxdfh3NX3JBjOPH6IootFo2L59O4sWLWLevHmcO/ePPF6tWrUYPXo0I0aMYO/evbz00ksAXL9+nZo1a5q0YxwAWSLl/E7yMxJxrNKSyJ1z8WrxIsln/iA7+gIqS1tCBn2OLBm5smQk+Rnxd7U3kn7tL9Kv/YVX65fxajkUW786ZMddRaW1QZaMGHLSCf/9M6oO/e7RPGMZSU+HDRuUr+rVoU0bsLeHrCw4dgyOHi3eJiFBCRYx9R/zk4hKpUKlUjFgwABkWb5vMfq78fT0BCAtLa3w2urVq/nmm2+wt7d/kEP9zwiiiKiyRpcShbV7MKmX95F4YgPZUcpnkai1wrlmB9wa9UFtZU/a1YPY+NTEpXZR2UF9diqyJBG5Yw5+HcYiqDUYcjNRWZaxGu1DxGhUDqMWLix7m2HDFM3xxyChrkIwa46XEbPm+OOBbDSgS43h8tLRSLrsIvdUlrbUGLkMXWos13+ZWiRK9W60jl5UHToPtZVduaoWmzHzX5BlmdjYWPz8/JAkic8++4w+ffpQuXLlcvVz6NAhmjVrVkGj/HfkxN9AUKm4tHBY4bXaE9aSFX0RQ3YKLrU7IYhqsqLOY8zLQmVli61vbSRDPslntxK9ewGyQUf1V38kLzmCsHUfFOlfUGmoO3ULgqAyyaKcZp5cJEli0KBB/FaKqJ+lpSXr16+nefPm5OTk4O7ubnIRqzd+e5f0a3+VaqOysqfasPkYctNLzOAoQFBrCRkwC2vvGqi0lg96qGbMAODh4UFCQkKZ7X/77Tc8PDxo3bo1R48eRZIkVqxYQaVKlRg6dCiOjo5IkmRyc/N+3J2ZIRsNCCo1+qxUkk5vIvHEBgzZqaX2oXX0otaYVRU9VDNPMUajkezsbOzt7bl69Sqpqak4OjpStWpVYmNj+f777/n0008LD71CQ0PZsGHDox10Gbn840is3EPw7zqFW5tnEdTzHS7+8DJ5iWF4Nn8RzxYvcvGHl0s9oCogoMc7ONVoS/zh1bjU6oDWwYNbm2eRcm4bVYd9j4139fv28ajIyAAHh/K12boVOnUyy6s8aspbHwCUopx9+vQhICCgSObzn3/+Sbt27SpqqP+KgrodADd+fbvQKV4vrDxAAAC8OElEQVQMQcS3/VjcG/cl/ugadMkRaO3dsfGtha1fbUCRI7MNqEd+Wiy6tDgcq7ZEEESTDQRp0ABOFY8pK0aVKkp9rKeZx2v1Z8bMfRBUaqL+/K6YYxzApXZnpSr4ummlOsYB8tNiFQ1Gs2PczENEEAS8vb3p06cPoBTjDAkJKZdz3NXVlYYNG1bUEP8VxvxcJH1ekdphWkdvNLYuWLkF4VyzPXF/Lefc3AFcW/E6N9e+x7Xlr3N+7kASjqzGpU4XqgyejWhhQ8q57TjcTju9E8eqrRFVGrNj3MxDxWAw8Nlnn5XqGAclYrVfv37k5ORw9erVhzS6siPLEkF9PlSiTe+B1t6DKi9+g8rKnrANH5fenyGfm+ummaQ2rJknA6PRyNChQ8ts7+LiQvfu3dm8eTOgpH+HhYUxZ84cXn/9dby8vHjttdfIz883Sb3UAu6snfMPAlkxF4nY9rVykCxLJJ7cxPm5/Ynd/+N9HeMAssF06yKYeTJQqVRotVo++OADkpOTqVKlCn5+fqSkpHDz5k2ioqIKMzisrKz46KOPyp0d8igw6nLIib2C2soOY1421h4h6NLiyEsMA0HEtX4PUi78WSbHOEDc38sRVRps/eoU1sPKS7oFUKa5/Cixt4eWLctu7+CgRJeblwqPFlmWiYuLw9/fny5dupSpjb29PUOGDOGHH34oVldHp9NVxDD/G4KI2tKWm2veu7djHECWiNo5h5SLf+LeqDf+XSbj2eJFtI6eShZHXiZO1dugS47g+uo3Cd/8KUZdNoKoIiviLLJkWusHvV4pyOnmVrqdoyOsW6fYP82YvQhmnhhkWSY/PZ6Mm8dKuCvg2iCUtMv70Gcll6m/jJvH0KXFmKyGlJknE6PRyJIlS6hXrx5r164lKSmJUaNGlbn98OHDTS7qTZ+VjJSfg9bBA0Gt6DerLe2RJSNqSzuuLhtP3N/LMWSn3NUuidgDP3F1+UQsXPwJ6vUB+ZlJiGotwl3a4m6N+yIZTX8TZebxRZIkJElCr9eTkJBAdnY2giCUuShgdnY2ixYtol69eqa3cZAlkCSCek2j+ojFuNbviaVbEBbOftgFNSao94fUHLMSCycfrv48kfy0mPt2aczLIvnc9mKFsc2YeRCIosj48ePLLIfy6quvAhRqoXp5eRVJBc/Ly+OHH36gQ4cOGI3GcsuZVTQFa1FdagxRO+dyaclrXPphODd+e5fcpDBsvKqRfu0v4g+vQp+dgmTQlat4n8beNIuJmXmy0Gg0fPDBB9SuXZv169fzySef8PXXX5Oens6iRYuIjo5m5MiRbNq0iVq1aj0WxXIlY/7tP/WIWivcGvZCMuQBYBdQD62DB0knN5W5P11yBJnhp7Hxro4sG8mJu0ZO7GUAk5RuuBO9HsaOLbv90KFQxrIuZioQWZaZPXs2Z86cYcmSJQQEBJRqr9FoWLFiBQALFiwodr9SpUoVMs7/hCyREXacrIjTZTKP3f8jgqgi5fxOsmOvYuHgiSCq0aVEErZhOtdWTMaYm4FszCf59B/IkpG8tDhMrS6ARgMBAYqkUZcuxQ+iBAGeew6OHIGqVc0yn6b/xjFjpozIkoG0a38rm/y7sHDxw9LFj8gd35anR5LPbMWr1TBT+5wz8wSjUqmwsrJi//79fPjhhyxfvpzXXnuNpUuXcvbs2VLbBgYG8uabb5qcc1wQVWTcOoF9cGOcqrcj5dw2rDwrI4gqwjZMJzfxJho7N1zrdcOhSkvUVvZIBj265AiSTm8m/fphwjfPpFL/meTGXwcoonPs0Xwwtj4mpLFu5olDkiSuXr3K119/zYoVK8jKymLPnj1kZmYSE3N/R3EBixYt4r333uPKlStUrVq1AkdcdmRJwpify5WfRqO198CtYS/8Ok0sJtMgGfJJOv07eYk3ytx3yrltuDXoWRHDNvOUIwgCPj4+LF68mGHDhpWaBt6mTRs+/PBDfvjhB5KTk2nQoAE1atTg7bffLmZ78OBBZsyYwQcffGAyWsfy7cOrW398Ssr5nUXu5SbeJDP8JLUnrMO1QU9i9y0m/epfONd8jpg9C4u8K0vDpW7nQjkWM2YqgoJDp7feeouFCxeSkZFR5H5QUBAffPAB8+fPx2g0msz8ux9KjSoNdv71EVVqsmMuo7FzBf45dMpJuF6uPnPir2HjUxNLZ39yYi8jqDSoLGyw8Tbtta5GA/37w08/wfbtRe8JgiKf0r69EjGuVkO/fo9kmGbuQhRFTp8+zbJly7hy5QpHjx7l1Vdf5ffffy/2bq1Tpw6zZ8+mRYsW9OzZs9gauFmzZlSpUuVhDr9MCKKKxBMbymyvS4kiI+wETjXakZsYRsz+JUoGSGp0MduU8zvwbD4Yra0TadcO4hjS3KTepWo1+PrCli0QEQGrV0NqqjIP+/WDSpWUg63H4CyywjH/F5h5opD0JculqG+ftN9doPN+5Gcmmqx+lJknF7Vazfbt25k5cyaSJJGTk8OuXbvo0aMHR44cKbFN9erV2b59O3Z2diYnZaC1dyP92t94t3kVj6YDSL34J26NepObGEZW5Dn8u76BS53OSHodaVf2k58Rr2w0AupTqf9M8jMSCf99FnnJETjVaEdeUjjIEmprBzybv4R7E2V1LUsGsxSSmQeOJEn8/PPPjBgxokiKt5ubG2fOnClXXxEREaYn2SAIRO+ejy4lCl1KFJm3TqC2cUbr4ImoUqOytKdS/xkIslSmiPE70WeWLVPLjJl/gyiKDB48GBcXF955551i89He3p5XXnmFmTNnsm/fPiZPngzA2LFjiYiI4I8//iix34ULFzJt2rQKH39ZEQSRmxs+IO3KgRLvS/m5JJ3ciEezQWTeOknSyY24N+6LU/U2xZzpJaGyslfqfpjQZt7Mk0nPnj3ZunVriffCwsIYNmwYcXFxvPnmmw95ZP8eUaXBr8sUHKu2JHzLl+SnxVL5hf9h41cboSC6qryJKLIMyOTG38DKvRKBPd4mJ/46CKYV/HIvNmyAl16CNWuUf48dC5MmKU64sDBITFRkHKytQZLAxGJ6nkpkWSY+Pp66dety9OhRNm7cSFRUFMuXLyc+Ph4bGxs6d+5My5YtiYqKomPHjuzfv79YP5MmTUKv15tkkevs6Avls486h61fbS7/OBJKkUspUCWwcPEj+cxWHEKam1xcZYHj288PJk5UDqtk+Z/rJvjjeiSYV0FmnhgEBNTWjiXek25rKYp3STHcD1GtRZZlk3M2mnny+fjjjxkzZgyvvPIKnTt3pl69ehw+fJhdu3bx/fffc+rUKWRZpnr16owcOZLu3bsjSZJJLkZAwLFqK4y56Vi6BhAY+h5WbkFE7ppLyKDPsPGuQdSf80g+sxUpP6dISyvPKvi0HUnIoM/JCDuBfXAj0q4eJLDnuzhWexZkmaQzW3Gt28XsGDfzwNHr9ezfv5/hw4cXi57R6/XlTvlWqVSoVCqcnZ0f5DD/E5I+l9QLfxa5ZshOKZQ5snQLApRsjfK+QwtklMyYqShEUaRDhw507dqVv//+m/3796PT6QgMDKRfv35otVqWLFnChAkT0Ov1DBw4kOHDhzNp0qR7HlTFx8ezc+dOOnXq9MgzsWTJSEbYiXs6xguI2bsIS7dgQgZ+RtSf80i7chC/jhPJTQgjt5SoVUFtQXDfj83vTzMVisFg4Msvv7ynY9zLy4tXX32Vvn374urqSnZ2NhYWFqhUKpPfg8mSEefqbUg+s5Xk078DIrq0OLxaDyfj+mEALF39FQ3yMmLlFoQgqtA6epIZdhynGu1wqNz8sRDnVqmUYf72m1LcLzUVmjWD5cth8GBFvqGAoCAYORLGj1fkVcyRq48GSZKoXr06u3btIjw8nODgYObOncvAgQOZMmUKgiCQm5vL4cOH6dOnD5s3by6xHsCkSZMYMGDAI3iC0ikoWl1ePXBZMiJLBjQ2zli5V0LUWGDUZZMdc6lIfTtRYwWA1s4NUWttco7xOxEEs5RRaZg/gsw8MQgqNU7V2hC5/RtkQ1E91/y0WCRDPnaB9cmJK3sZXrvAhspJoTmaxsxDRJIkWrVqxXfffcesWbOYNWsWGo2GAQMGMGbMGNauXVvE/syZM5w8eZJ69eo9mgHfD0HEvXE/sqMvYuNTA4fKzREEAfvARth41+Daqqn3LI6SG3+dsI0zCOgy5XY7EcfKzclLiSJm7yKSz20jKPQ9smMuYeNd/SE/mJknHY1Gw4cffliiZMONGzdo3rx5ufpr2rQpoESdmwKy0UDalQNKwdx7oM9KRpaM6LNTsQtsQPzhX8rcv11gA/MBs5kKR6PRIMsyTZs2pUqVKuh0OhITE/nss89YtGgRsbGxODg4MHXqVKZPn87SpUv5+uuvS+0zLi4Oo9H4yJ3jSir4+vvayZKBm2vexa/zZPw6TkTSZSMZdFQZ8i3Rf84n5fzOYtmVtgH18X1uNFbulcxZkmYqFFEU+f7774td12g0fPPNN4wYMQKdTseaNWsICwtDo9HQunVrWrdujU6nw8LCAoPBYJoa5IKIqLEk6cwW3Bv3w7VBKBaOnlg4emIfUB9ZlqnUbyaRO7+97SwvPYxc6+iFXVBD4v5eiSAIuNbrrrxHVZrH5l1a8LFZpYoSnfr88/BLCUuHsDB46y1YuRL27FEKeprij/hpYOzYsWzbto1Ro0bx8ssv4+TkVHgvOzsbOzs7srOziYiIKOYYr1KlClOnTi2s7WFqFLzfLBy9yMnNuI/1P9j41ARZptbYX4q8I435uaSc30niifXkJYZhH9wEWZaRjAbsgxohY1bkfVwRZFOrOGOi+Pr6Eh0djY+PD1FRUY96OGbugSzLRGz5kuQzxVNlA7q/ha1fHS7Mf7FEXfK70di6UGvcr+YNg5mHjiRJXLt2jWrVqpV4v1GjRlStWhW9Xs+lS5dISEggMjLSRKPGFWSjgfz0eCycfciIOIu9fx1kyUD07gUkHP2tmL2layCuDUJxqd0RlYWN0ockgSCQE3+DxCOr0aXFYMzPocarPxKxbTb+nSc97Mf6VxT4WQ0GiIpSNg7e3mBxOyjXnF5qGsiyzJUrV6heveRDl86dO7N161aaNWt2T7mju1mxYgVdu3bFxsbGJOarZNSTeGID0bu+K9UuuO8MrDwrY+HgwYXvB6MrQXOxJGqMXIaFsy/CY5IKbubxx2g0YjQa+fXXXzl9+jSyLFOrVi0GDBiAVqtl9uzZvP3226VqlAP88ssv9OvX75HrHsuSxKnP2pdp3VpAcN+PsfaqiixJaGxdEFRqJH0uaZf2oc9OQdRYYB/UGEvXALPOuJkKR5Zl9u3bR9u2bYtcV6vVbNy4keeee4533nmHRYsWFdMhr169OtOnT6dPnz7cuHGDSpUqPfIDq5LIS45E1FigtnEi7dJeks9uRZcWiyCqsfWthVujPlh7Vib18j5ubfoE2ZB/z778Or2OU43nODenH7JBh6DS4P3sCDyaDXyIT/RgkCR45x347LP727ZoAQcPVvyYzNwbo9FIWloaixcvZvPmzWRmZuLm5sagQYMYMmQIsiyj1Wo5deoUx44dQ5IkatSoQevWrUlKSuLDDz/k3XffxdPT06QOciSjHtmQT8qFP4nc9lUZWgj4dZqIW8Ne5CaGkXh8PenXDyHl56K2dsCp5nO41u+BxtqJ8C1f4N64H1buldBnp6CxdTaveR9jzKshM08Wsoxv+zFkR50jLzmiyK3EkxtxqdMZt4a9SDy+7r5debcdWVGjNGOmVERRpGrVqgwePLiwGrilpWVh5HhB9Cko6d9RUVEmuVkogiCgsnFEMuqxdPJGliRko4HkM3el2Aoq/DpNwK1BKPqsFBKPryMn7iqyLGPp4o9r/Z7YeIZg3eMtBFGFUZ9HflYyxtzMR/Nc5cRggNhY+OorpWBRWppy3cYGXngBJk+GypWVtFQzjxaDwcDff/99z/vbt2/n5s2bfPTRR3Tt2vW+zra6desWyjyYDgIqrfV9rRJPbqDy819izMvCp91obq6bdl9nnUudLli6+D+ogZoxUyYKpIsGDhzIoEGDAMU5t2zZMt59913i4+Pv24eFhQUdO3Z85I5xANmYX2yuWTj74dqgJ44FBayNenTJkSSd/p3US3vQZ6dgyEnj8pLXANDae+Bavzv2lZpia1EXyaDDqNchy5LZMW6mwjEajSUGls2aNYv27dvTrVs3du3aVWLbS5cuMWDAAObNm8eIESPYvn27Scgd3Yksy2jt3clLjuDK0rHF6lvpUiJJPrsVhyotCQp9j6BeH3Bz7fslvkPdGvfFrWEvInfOLcyClo16ond/DwK4NxlgUk7H+5GbC9+VfvZeyF9/KV/NmpnXwI+Kb7/9lrfffhud7p8M/E6dOtGhQwfUajWSJGE0GqlWrRrVqlVDpVIhiiJGoxEnJyeaNWvG1q1befHFF01qrSuqNCSc+h2XOp2J3b8YQ056qfY+7Ubi2qAnEdu/JumuIp5GXRZxB5cR9/cK/Du9TmCPOwp7m53ijz3mFZGZJwpBFBHVFlQZ8h3Ru+ejdfTCuUY7pWq4LGHIzcC3/Thko4GkU5vu0YkKv47jcand8eEO3oyZO5AkiR9//JGcnByuXbvG77//TkBAANu2bWPw4MHExsZibW1Nx44dGT58uEkvlmXJiD4rBa29GznxN7ByDyqUczDqsu6wFAjs+Q5O1Z4lYvvXJJ/6HVn6J3UvHYg/tArHqq0I6PEW+Wlx5KVE4li5BX6dJxVqypkqBgMcOgTdu8NdwVFkZ8MPP8CyZbBqFfTsad4cmAIlaSoWIMsyo0eP5o8//uCnn37ilVdeQa/Xl2hbp04dtm/fblIbegBRpcahSgvY9tU9iw1Ze1XDuWZ7pXaH2gKHKs0J6PE2EX98jmws+Xmda3fCv+tUxflm3iyYeQTcmZmh1+uxs7Mrk2McoF+/fkVSyh8losYSQW2BbNAhaqwI6P4mTtXboM9JI/XCLvLTExDUGmz96hLY4218nxtDXmoUxjv0UPMz4onZt5iYfYsBUFs7UO2VRY/qkcw8ZYiiiJWVVZFrDg4OjBo1ipkzZ97TMV6ALMuMGzeOZ599lszMTM6fP0/NmjVN4vAKAFkiPzORaysnY8y7d6BG+tWD3Fw7jUoDZuHasBdJdwRq2fjVxr2RUkQ3/tAqEo+tKdY+Zu9iXOp2RW1pVyGP8aDR62HpUsjKur9tAXPnKhHkZh4usiwze/ZspkyZUuT6gAEDWLlyJUajkVu3bvHdd9/x448/kpKi1KQJCAhg5MiRjB49Gq1WS+/evUlNTX0Uj1AquQk3iftrGU7VnyW430yur/6/Iprhd2LtVQ2PZoOI2jm3mGO8CJKRiK3/Q7SwwbFqK0SVBrWVvXnN+5hjllW5DytWrGDFihXs3r0bnU5nllV5TCiQX5D0eaSc30FeUjgIItYeITjV6oAoqsiJv35HmkwOamtHnGo+h1vD3koaqgk7G808HUiShCiK5OXlceXKFfr378+1a9eK2dnY2DB9+nQmT578CEZ5fySjAWNuOjfWvEdOzCV82o3CrXFfEo78RszehYV2rg1C8es0kbD1H5F2eV+pfVp7V6fK4NkkntpMytnthDz/hbIoMVHnuCRBdDTUqlXcMX43Wi0cPgy1a5u1Fx8lkiRx4MAB2rRpU6rdgAEDWLZsGREREcybN4+ffvqJtNspAQ0bNmTs2LG88MILiKJoElIqJXFz3QfF5pxoYUNQr2k4VGqKLi2O3MQwHEKaokuNRevggTE3naTTv5Nyfif6rGREjRX2lZrg3qgv1p6VyYw8h61vLfO71IxJYDQa6dixI7t37y7VztXVlWPHjuHn52cSzjdZlgn//TPSLu+l8gtfYekaQOTOOaRe2K1Eld+BhZMP3m1exbHas6Rd2U/Yug8QLWywC6iPytIW2aBHn52Cb/uxWLkFmotwmnlopKam4unpSX6+8js7YcIEvvzyS/z8/Mp8aDVu3Di++uorpk6dytdff21S75ab6z8k7dLeMtkG95+JfXBjcuOuIel1aOzdsHT2JS85krhDK0g5u+2ebb3bvoZH04Emu9a9E1mG0aNhwYKyt6lRAy5cqLgxmSmZ1NRUvLy8ikSM169fn8OHDyMIAtu2bWPgwIHk5uaW2N7Ly4udO3fi5+eHWq1Gq9WaVH2AjLATXF81BWuvqoQM+hJ9VhKxB34i7erBIoEhGlsXKg38DLWVPee/G1Q2GV47N2qNXY2Un4uosTBnYz3mmJ3jZcSsOf74IMsSyDLRuxeQdGpzsQJEKit7/DpOxKl6WxCEIourAqe6KS24zDzd6PV6bty4QbNmzUhPLz0NbObMmbz11lsm9/tr1GVz5afR/0gdCSrqTd1C0unNRO2cW2hXY+QypQDnhull6tfr2Vdwb9SHc9/2Q+voSbWXFyCqTSeN704kCaZMgfvUgCtkwABYvbpCh2SmjFSpUqXEQ6k7qV+/PlOnTmXAgAGIokhmZiYWFhZYWlqi1+tN1ikOtzM7MhO5/OMoDDlpAIhaK6oM/hqtozcRW75AliWC+04n8cRGonbOwdLZF7dGvXGu1QmVxT+yLLIsYdTlIEtGwjfNJGRQGYRGzZh5CBiNRnQ6Hf369WPr1q0l2vj5+bF161aqVq1qMht7WTKSm3CT3IQbOFZ7lqvLJ5Ibd7WUFgL+XabgUrcrmRGnsfGujkpbNGpXMhoQzRt4Mw+ZwYMHs3LlSgB27NiBTqejR48eZW5vb29Peno6r776Kl9//TU2NjYVNdRyoc9J4/y3/YpkOpaGXVBjKj//BbIskxN7hZzYS6RdOUjmrZPcr1injW9tqg6Z8wBGXfGYneOPBwaDgS+//JK33367yPWVK1fSo0cPLl++TMuWLYs4zkvC09OT8+fPc+HCBVq1amVSe9Hs6ItcWToGAEvXAPy7TMHWrw75mYlkhZ9GMuSjsXPFPqgRIBCz9wfiD68qc//B/WZg41MDjY1zBT2BmYeFOe7fzBPJzbXvk3D012KOcQBjbga3Nn5M5A4l6iAvJUrRP5aMCKJoUh/mZsxoNBpGjhx5X8c4wHvvvUdMTAymdOYpS0biD/9SpAaA2toBBAG7oEaF1+wCG2Dp4k9iaSlsd5F0chOixhLnWh3ISwwj+ew2ZGPZNicPG71e0RgvK+vXQ3JyhQ3HTBkxGAxMmnT/Qq+nTv0/e/cdH0Wd/3H8NbO76b0RSKgJHRRBUOxiQ1ARARu2O8/e252n3nnFdt75u7OXs6JYsSCWs/dGE+kl9ATSe93dmfn9sRIJhGSDpL+fj4cPzc7nO/lG2OzMZ77fz+dHLrnkEgoLC/niiy+orq6ur7fYkRPjAIbpwhOdzKBzHyQ0IR2A3sdfQ2h8GutmX0vpmq9Im3Ap5Vk/kP3hA+DY1BZtYesH97PswWmse+kmNr75V9a/dgsrHjmblY+fh2EYJIw4rp1/MpFfuFwuQkNDee+99/jhhx8499xzyczMpG/fvkyYMIGXXnqJ9evXM2jQoA6TGIfA+zMidSAJI45j2+dPNJMYB3DY8r9/46ssJLrvKOpKt7Pxzb+y+O5jWPLPE1n/2i1Ubl4SiGymT4LIvmJZFn//+9/ryxXFx8e3eLFZeXk5lZWVREdHk5MTXFPo1ubYfsrXzw86MQ5QsXFh4J7TMMhfMIetH9xPxaZFNJcYB7C91b9itm3L74fhw1s2pqXx8uu53W7mzZvX4LUePXowffp0oqKiuPvuu5tNjAPk5uby8MMPM3bsWCpbUkunDUSkDsIdEQdAbeFm1j5/Nav++1vK1n6NJzqZ8OT+AOT98CqGaVK+aVGLzl++cSHu8Nh9PW1pB0qOS5fi2H4KFs2lbN2em6jtULj4bcqyviMkNjWQFO8EW9Ske7FtmzVr1vDll18GHf/www832xiwrRUuebfB1/2n3o7lrSY8qR+R6SMBiOq9H76qYiq3Lg36vL6KAqpyVhLVO3COwsVzO+x2tuzsX5pvBsPng2XLWm06EiS3281ll13GJZc03aA5PDycOXPmEB4ezn//+1969uzZ4eqLN8UwXYTG9WTYJc+Tefb/kTD8WLZ99Sw1+euJ7j+GsIR0cr99gV1v3m1vDRUbF1Cy6jPK1n2LtywXf1UxhUveIXbQIe3zw4jswY4yKWPGjGHWrFmsW7eOTZs28cknnzBt2jQ8Hk+HfZjlWH6Kln4QbDAFC9/EsS1Ml4f+U2+nz6QbsC0vZeu+JevlG1n30k04lk8JcmkTLpeLPn368Omnn5KamkpdXd1udciDERoaSk1NTYd5gOU4YPtqWzqq/r23I2EXrJbGtyePBy64ACKa7/ld74orAkl1aVsVFQ1r5U+aNAm32822bdt4++099GhrxBNPPEFISAiLFy+uL6HUIRgmiftPavBSTcEGtn5wP+tmX8ua5y5n/St/oGzdNwD1zXCD5fjqlEfqIjrPnZtIEAzTTeGiN4OOz1/whraWSofl9/t59dVXWzTmjTfe6BB1Uneozl2Lv6q4/uuInkOI7rM/BfPnYFt+0iZcguHyYIaEY9W2fKWBVVuBKzSwtbYmf32DJmQdyd4s5lfOomNwHIfHHnuMJ598khEjRjQ45na7Oe200/j666857LDDuOKKK/jPf/7TZCPPjspwuTEMg+g+++M4dn3d08SRJ1CTv56qnOD3Ohf+OA9XSIQSb9IhNfYZ2VGT4sDPDay/bNGq0eLlH2K6PGz74kk2zbuHhBHH0XfSTfXHKzYuYMPrf8LoRA/xpHNzu92MGDGCjRs3kpiYyIQJE1r0EPmII47A4/GQk5ND7969W3GmwTMMo8WlFExPGKYnjJrCTSQMm9CisfHDJmB30B2SjYmKgksvDS523Dg48kj12mkPSUlJu33t8/lYvHhxi65nc3JyyM/P71A7mAEwDHqMP5vQ+LQmw3Y01PVEJTUZtytPdBK2HjZ3Cboiki6lOm99g/INzanYuBB/TTPd8UTaiWmaLe76XdqS5cltYNdkdfLoKdSV5hI9YCy1RVuI6DmYAdP+jmP565PcLWGGRmJ5fymf1FHLqqSltWz1jGnCkCGtNx8J3o5SW+eddx7Lli1j/vz5vPzyy7zxxhts2rSJ119/nbq6Ou6//34eeOAB4uPjO8yqtr1VlvU9Vl3gYZUnJoXqvPUtGu8t3Y7lrVHiTWQfcHDwVbaszpavMvBQ2hUWRfGy/7F53t0k7jeRuKFH1ceUb5hPxZYlODs1JBNpTW63m7CwMDIyMujduzeTJ08Oeuzll1/OqlWrGDJkSIfZmWWYLmIyD8IVHhP0mPjhx+DYFgUL5hCZNozw1EFBjXOFRZMw4jgMo2P87MG6916YOrXpmKFD4Z13tGq8Pfh8Ps4888wGr3m9XgzD2KuFHn6/v76sYEdhGAamJ4yB5/yH8JTMPca5w+Ow/V4S9juhJWcnYeQJGKZL17xdgP4EpUvxVRa2cISj5Lh0WLZtk5DQshUpcXFxrTOZveSJjG/wdfSAsVRsWkh0n/3J/fo5Nrz+Z2L6H0jygVPxRCUS0WtY0Od2RyYQlTacqpzlQGA1zt4k2NtCWBicfXbw8RMnQq9erTcfaTmPx4Nt2xx44IFMnTqVgw46iJKSEj744AP2228/br75ZmJiYvB4PBQVFbFlyxbKywOfL51pJbnjOPhrSuu/Djwc2JtVQB1s5ZB0az6fb7fXLKvzJIVNT+hexdu+wPbwkpWfUrFlCcljTm0QV7DwTW0Hlzbn8Xjw+/3cddddQTXWPPTQQznttNOYNWsW1113XYdJjgMYhoukXUo2NCV5zFTKsr6jaOn/qC3aSr+T/4grLKrpQaaLfiffAoDjdJ7fW34/1NXBnDnw3//CAQc0PJ6WBn/9K/zwA8THa9V4e/B4PJx77rnExv5SM3vt2rV4PB4GDQruwc0OUVFRJCcnk56e3qF2MTuOjVVbgekKYejvniTjjHuJHXQYoYl9CEvsQ/ywYxh4zv0MOvd+vBUFxA85CneQO0JiBowlLCFd2327iI7zySKyD7hCWrA082emJ6wVZiLy67ndbs4444wWjZk+fXqHuuEPT8kgNLFP/dfusGg8MSn4q8soXfs15VnfsfalGwGwLf9uN+5NSRo1GdvyUbTsQwDihx0DHfQm37bh+ushNIj8hmnC73+vFTQdkflz0+aQkBBSUlIYNGgQxxxzDOHh4di2zezZsxk3bhxJSUn07duXuLg4Jk6cyAcfBGoFd7itpo0wDKPBZ6mvopCwxL4tOocnOnmvPo9F9sauD592/trv91NZWcmjjz7K6NGjSUlJoU+fPpx33nn8+OOPAB2uT8euDNNFTMbBQMOG8YYrhMj0EcRkjieq7wENbuZjBowFoDZ/Q/1rBYveIrrPKMKSfnk/V/zcnFOkrbndboYMGcIHH3xQ36izMUcccQTz5s3j+++/Z/r06SQnJ9fv6OoQDIOeR/w2qMUdvY66iIgemeTPnwOOzYY5t+KJTGDQuQ8S0bPx7YKh8Wlknn430QN+bmLfSVaO+/1QUBBYFX7TTXD88bB4MaxaBV98AYsWwebNcO21gdhOcHnUZYWEhDBr1qz6hPYHH3xAXl4ew4YN4+CDDw76PDNnzsTj8dCnT58OlRzHcXD8PqoL1rNp3t24w6LImH4Hwy+ZxbBLZtH/1D8F3o9v3M6a567E8lYz4LS/NJsjColNpe9JN2Nb/g7b80paxnA6w51aB5Cenk5OTg5paWkt7q4tbcf2+1j24DSsIFeDhyX2Ydgls1p5ViK/zoQJE/jss8+ajXO5XGzdupXU1NQOc+Owo0lu9kcPArDftXOpK90GhsmaZ35pcuiJTmbgzH8TGteL9a/eTPmG+U2eNyy5P4PPfZDilZ+w9X//BsNk6O+eIiyxb4fd1mZZ8NZbgRXke+pTYxjw0EOBGo0d9MeQXdi2TV1dHZMnT27yfXrhhRfyxBNPdKgVb3vir61k2f2n4VheYgceQsaMu1j19MXU5K4NanzPwy8g9dBztSJVWl1RURGPPvoon3/+ObW1tfTu3ZsLL7yQY489Fsuy+Oyzz5g2bVr9Lo5dTZs2jRdffBG3293h35vrXryBik2LCIlNJXn0FBL3n4Q74pfVfo5tUbrmKwoWvUXqoedgesJYO+vK+uOmJ4xRN/2PjXPvoGTFxz+/Fs6om95v859FZAe/309dXR1PP/00Tz31FJs2bcLj8XDIIYdw+eWXc8IJJ5CVlUVsbGyHLVvm2BaO5WfLB/+mZMUnOFbDnSqeqCR6Hn4BSQecBEBt0RYKFr9N8bL/4YlJZdDZ9+GOiKU6dx3Fyz/CX12KKzSS2EGHEtP/QCxvNaVrviZhxLGdqqzK4YfD118H/tvlgpNOgmOOgbg4qKqCH3+EF18M7JRcs6Zdp9rt2bbNhx9+yOWXX87GjRu55ZZbuP3223n77beZMWNGs+M9Hg9Lly4lPj6ehISEDtXHw3Ec6oqzCY3vxfJHzsJXnk9ofBruqARwwFdRgLcstz4+otcwBp59H7VFW8j+6CGqspc1PKHpIm7QYfQ+4TpcYZGBkiqd6H0pe6bkeJCUHO8cHNsm59PHyJ8fXBPD9OOuInnMFAyz411oiUBgK/imTZvqSzg05V//+leH224Kgfdl1it/oGLjAjLPvo+wxL74q0pY/fRFDQMNFwPP/heRacPZ8u4/KV7xMY2VZojuN4b+p/4Zb3k+a1+4GttbQ/rx15A85tQO81BgTywLfvoJ7r47kCjfscDRNAOlVG66CY44QonxzubUU09l7ty5zcbdeuut/O1vf+tw79HGbHr7ToqXfwSGyYjLX6IqZwUb3/pbs+NcYVEMu/QFPBFxrT9J6dZuueUW/vWvf+1WMsUwDLKysigoKODII4+krq6uyfNMnTqVN954ozWn+qvZlo/agk3kfjubfiffjO33UbT0vUAiraoE0xNGzIBxJI2ZQnhSPwA2zb2L4hUfNjjP6Fs+Z8v791H44zwAwpL6Muzi59r6xxHZjc/n2y2hVlNTQ2hoKI7jdKyVqI1wbBvDNPHXlFG09H94S3MxXG4i00cSN+hQHNtP0U//oypnBTGZBxM3+AhwbPw1FbjCoijP+g53RCyRacMx3SE4tkVN/kb8VcVE9TsgkHwzzA5/nQuBa92VK2G//YIf88EHMGGCSqu0J7/fj2mafPjhh7z//vvceuutpKSkcNttt3HnnXfucZzb7WbWrFnMmDED0zQ75DWu4zjY3hoKFr7Bti+ebDY+vMdABp37AK6QcGoKNlK29hssXw2eiHjihx2NJyox0K+jk7wnJThKjgdJyfHOwXEcrJpyVj9zSYMngI0JTx3E4PMewnR3rKYRIrvy+/1kZWUxffp0VqxYsdvxmJgY7r77bi6//PJ2mF3zHNsGx2brh/dj1VXT/9Q/YXlrWfbgNOxdGnYarhD6nvR7EoYfS11JDgWL36Ymbx2OYxOW0IekA04mInUgFVuWsGHOnwiJTib18POJH3JkO/10Lef3By7+Cwth6dLAVtKhQwMrZ3Yck87Btm1WrVrFiBEjgoqPiooiNzc3qBqr7cmxLXxVxax++hL8VcUkDD+OflNuZfvXz7H9y2f2OM4MjSTz9HuITBumVePSqq699lruv//+Ro8dc8wxfPzxxxx++OF8vWPZYjO++uorxo8f32ETcPbPK1ENw0Xp2q/YPO9ubF9to7FJo6fQ+/hrKFj4BtkfP1T/ujsilv2uncvGN/9KyarALpe0oy8h5aDT9X4V2Yf8NeW4QqPAsakry6NwyTwKF8/DHRZF8tjTSNzvRNy7NPGsLdxMweK3KFzyLjjgWL9sMYzqM4rMM/+BYbo7xXvVcQLlUh54IPgxM2bAq8GtbZNW5vf7cblcGIaBZVm4XC5eeeUV7rvvPhYsWFAfZxgGJ5xwArfddhsHH3wwfr+f0GDqR7YDx7ao3r6GiNRBZL16MxUbFzYZ3/OI39LzsPMoy/qeqD6jMEwDMLF9NZSs+pzCn94luvf+pB1zKWAoQd5FKDkeJCXHOw/H8uOrKibr5d9TW7ip0ZjI9JFknH4XrpCITnGRIbJjRc2XX37Js88+y/bt2wkPD+eEE07gvPPOIzQ0tEM+qd/BcWwMw8RfXYZhujFDwsn++EEKFr7ZaHxk2jCSRp9K/NCj6h9gOY6Dr7KQquwVeMvziUwbRlT6CLwVhXgi4zvle9m2d18l7vNBB9qNKE1wHIfLLruMxx9/POgxDz30EBdffHGH2nLaGMf24y3LI+vVP1JXtIUeB59F2oRLKMv6jvz5c6jYtKg+1vSEET/sGFIPOZuQ2NRO+V6UzsGyLFauXMl+TSxJfPXVVxkyZEiTMbs6/fTTeeWVV/bFFFuFY1s4tkXllp/IeuVmaKYpX9KYU+lzwrWsff5qKrcuBSB57DTSJ1zGsodOx19VjOkJZ+RVrzXfDFBEglay6gtiBx2KY3kb9u+oLsX0hOH4vRQteZfCn96jrmQbhukiMn0YyaOnEDfocKpz17L+tT/iry5rcN4dD6k7i9NOgzcbv8Rv1Pjx8O23rTcfaRnHccjOzmbo0KE88cQTTJ06lfDwcJYtW8bKlStxuVyMGzeOPn36UFdXx7vvvktJSQnnn39+hyx9BDsS5GsJ75FBzmdPUPTTu9jemgYxnpgUeh56HkkHnETOp4+R9/3LuCPiyDzzXkLiemG6PCy9/9T6cZ3tfSlNU3I8SEqOdy6O5QfTRfn67ylY/DZ1RVvAMAjvkUnymKlE99kfx7Z0Ay+djt/vb3DR0dg21I7McezA1lPDxFdRwKonL8Sqq9xjvOkJIySuFxkz7sTy1WLXVeGOiMd0e3BHxFNTuIl1L17PqOvnteFP8etZVqD+4uefB2qMf/11oA55//7w29/Cb34DISFaRd4ZjB07loULm16BsrMLLriAZ57Z8+rrjsS2/Bimi/L1P1D003uExPUk6YBTCEtIw1ueT11JDobpJjy5P2ZoJDi2PlelVTmOw8UXX8yTT+55W/SqVat47733uOGGG4I+b1xcXLOlyzqClU+cT23h5qBih10yi+q8LDa99TfAYNglz9V/bbg8DJh+BzH9D9R7VmQf8lYWERKVSMWWpRQv+wBfRQFhSX3pddRFVG1bxYbXbt3jdW94j4FknvEPvOX5rJt9bcPdIYaLEVe+gicqsVOsUj37bHjppeDjjzoKgmivJG1s8uTJvPfee7hcLm666SamTJlS3xR369atvPXWW/z3v//Ftm22b99ObGxs8ydtJ/7aSlwhYVRtX0dkryHYvlpKVnxMXUkOmC4iew0nNvNgHMeiJncd1XlZVG5dSunqLwIlAy96BndEHCsfP4/aoi315x0w/Q5iMw5WU84uQH+CzZg9ezazZ8+msLCwvaciLbDjl1NM/7HEZo5vcMyxA6ttdDMgndGuT+M7U2IcCNRMNA3AwROdRMbpd7P+tVuwaisaH2C66H381bjColn/6s0NkgLR/caQeea99DnuqraZ/D5iWVBTA1OmwKefNjxWUgKLF8Of/wxvvw0HHaQEeUdnWU2v4Py18e1hx04P0+Umf+EbRKYNZ8C0X+qN25Yf21eH49h4S7dTsWkR/poKeh/fud6L0vkYhsGbzSxHjI2Npbq6ukXnrampaT6oHTm2RWX28qAT4wAFi+eSPuEysiPi6DH+LEIT0tn8zj1E9h5J2tGXEtlraIdtYC3SGTmWH9tbw6onL6Qmf33966mHBZJp61/5wx7LIQHU5K0j65XfM/j8R0geO428b2fvfHIKf3ybnoddEOje3oH5fIH64S1Jjh99tEoLdjR+v58nn3ySsWPHkpOTwz333MM999yzW5xpmrz44otERXXcXUiO5ceqq8Txe4lMHYhhGLhCwokeMI640EhMlztQP9w0qcnbgO33Epk2jOTRp+A77koKF79N4U/v0+Og0wOLQXZSsPBN4gYd1k4/mexL+vXTjJkzZzJz5sz6lePSuTT2BE9JcZH2sWO3hlVTBoZJXWkuYYl9GHrR04GLjiXv4q8qBsAdGU/i/pNIHj0F0xPO+lf/uFtSoGLTIkpWfUbs4MM73U6QyZPhyy/3fLy4ONCg87vvYMgQ3Sx0ZIMHD+bHH39sUfyuO0A6EsexcSyLyu3L8YTHkv1hoGhoSGwq7ohYHMuPtzwPq3aXlW+GSY/xZ3WaVW3SeZWXl+/2Wnh4OBdddBGXXXYZSUlJ9OrVq0Xn7Nmz576aXutwHMrX/9CiIeUbFmAcdxV9Jv+BuIHjqdj8I30m/4HwpL44ll+JcZF9yLH8eCsKWDvrigYlUcJ7ZBKVPoL1c25rMjG+Q01eFsUrPibpgJPJ++4lcOz6Y7UFmzrF+9bjgXPOgRtvhLKy4OIvv1zXuh2N2+0mKSmJ+fPnc8EFF/Dxxx+za9GJjIwM/vOf/zBp0qQOXd7TcLkJiUrGcLlY9/JNZJ7+D2qLtrDmucvIPOMfRKQOpmDhGxT+OC+wkvxnoQm9SR49hR4Hn0n19jUYpouI1MFUb1tVH1OxaTFWbaVKlHUB+hUkIiKtznFsqnPXkffdi5Su+4ZRN/2P4mXvU5b1Panjz6bH+LPpefhvsGrLcWwLd0QcjuWneMXH5H33YoMLlZ0VLJpLwvBj2/in2Xs+H8yb13RifIfKSrjllsAKcumY/H4/l156KS+//HJQ8W63m4svvrjDJsYhsLtj0zt30e/km8n+9NH6171luU03unZsChfPpefhv+nwq9qkc0tISCAvL6/+6+TkZN59911GjRrF66+/zsKFC5k2bRpXXXVV0CvIzzvvvA790ArDDCqxtrMd8bEZ47BtP5HpIzCMwENkbf8W2bcMl5ut//v3brXCkw44GW95PmXrvgv6XIWL5pK0/yRi+h9I+Yb5O32TzvPZGhICf/1roDFnc66/HpKSWn1Kshc8Hg8pKSl8+OGHrF+/nueee47t27cTGRnJ5MmTOe644/D7/R06Mb6Dg4PjqyNlzFT81SXU5K2j/6l/Jjwlg3UvXkdVzsrdxtQVbyX744coXfMlGWf8A9vvxRUSvtuZ/XVdNznu8wWa7EKgT1ZHvUzaF7rwjyYiIh2BY9uUrPqMTfPuAtvCcHkwXR6sumq8pdvZ8v595Hz6OANn/hvTE0bxio/xVRRSuuaL3Ven7qIqexlWXTWu0Igm4zoKjydQYzxY774LOTnQq1enuifqNtxuN0ceeSSjR49m8eLFzcafffbZJCcnt8HM9o5j29TkZ1G1bQWGy01twcYWja/J39ApVrVJ52XbNjNmzOChn3+RRkZG8r///Y+ePXsybtw4lixZQp8+fTj77LM599xzg2qWGxISwuWXX95xE+MAjo0nKrFFQzyRCQBY3lpqC9bjOA5hCb3xRCV0ut1WIh2Z4zj4yvMp37Bgt2NhiX2o3Lqs2Sa6O6vOXYPlrSEssU+D5Hh4Skanee+aJlxzTWChx2237TnuqqugkUod0oHs+Gzs378/f/7zn3G73ViWVb+KvEN/du7EdLmxgZjM8firS3FHxhPT/0DWv3Zro4nxnVVuXcqW9/5J/1P/jCc2ZbfjOzff7SosC2wb3noLVq0K3IeOGRPY2WzbXTNJrjsYERFpNY5tUVOwgc3z7oaf6/07lg/b78UdFl0fZ9VV4q8tpzpvHblfP0fRT+8GEuOGSWh8GhGpgwlL7IPhCtnte7R0NV17sqxAE85g2TZ89FGgDqN0TH6/n3feeYcBAwY0GXfYYYfx+OOPY9t2k3HtyTBN8he88StOoCc40vquvvrq+v++9tprGTp0KCeccAJLliwBYMuWLbz88svce++9jBo1qslzmabJU089RVJHX7ZoukgYeTwYwd+6JYw8Hn9tBcsfnM7a569m3QvXsOzB6ax/9Y9UZi/fbXu8iOwdx/ZTsvJTYPf3lOHy4Fi+lp/T78Vw73TNa7pIOuDkTpEY39mtt8K6dXD11ZCaGlgkkpQEv/sdLF0KDzzQ3jOUYJmmWZ8Id7lcnSYpvjPDdOEty8MdEUtE6iBqCzdTtu6boMaWrPocb1ke4ckZDV6PTBuGOzymNabbLnZcGvzjH5CeDqefDrffHuiHNXkyDBgATz3VvnNsLUqOi4hIqzFMF/nfv4JjN8zuVm5dStzQoxq8ZtdV4Y4IdDl3R8TRY/zZDL/8RYZfNpshv32cYZfMYuTVc0g75jJC49N+/gYuXLs0RunIvN5fLjqCVVPT8jHSdnbUZFy4cCHXX3898fHxDY736dOHO++8k08++QSPx9Pht55WblmCv6oEx/ITnrznhH9ofBppEy5jxFWvccDNnzDqDx/R58QbcDpw8l86P9M0GThwIH/5y19wuVxccsklvPDCCyxbtqxB3MUXX8yaNWv4/PPPOf/88wkNDd3tXEOHDmXu3LmcffbZuFwdO+FkGAYh0cnEDjwkqHgzJILEkSdQuOgtbN9OzUYdm7Ks71g3+zoKf3xbCXKRfcDAwL+HxvJWTTkhMbuvNG2KGRKBKywKf80vJVoS95uIJzK+iVEd14AB8O9/w/btgevgggJ44gkYNqy9ZybdjuPgjoilcPmHuMKiKPhxXgvG2hQsnktkryEY5i8PBpJGn4rt9+HYwe8O6cgMA84/P/BgKz9/9+ObN8Ollza9I6Sz6nyPe0REpNOw6qopWf3Fbq8XLHqLjOl3EN4jk5q8LAAqNv1I+nFXEj9sAn1OvAHDdFO88hO2rPwUf3UprpAIYjPHk7j/JFLGTmfrRw/iqyjE9Oye9OiowsMhNja4BkU7pKdDB8/bdHsej4e4uDjuvfde7rrrLr755htKS0tJTU3l4IMPxrbtTrPCxrF82L5aStZ8SdLoU8hfMKfBccN003vidSSNmoy/uozi5R9RW7QFTJOI1MGBHgAGgSc6hqnmnNIqbr/9dvbbbz969+7No48+utvxqqoqJkyYwDPPPMOzzz7Lv/71L1566SW2bt1KWFgYxx57LEcccQQ+n6/DP7DawbEt+ky6kTX56/GWbt9jnGG66T/lNsCgYPEemlY4Nls/uJ+wpL5EpY/sdKtRRToSB2eP9YZL135Nn0k3EhKb2nTfjp0kjjwBgPKs7wGIyTiY3idci+PYGC3YPdJRNPYr1jB0bSttzzBNTHcICYOPwjDMFpcPrC3YiOkOwR2dhK8sl+j+B5Iw/BjyF7xByoFTW2nWbcfngxdegFmzmo+980449lg47LCuU2LFcLRkICjp6enk5OSQlpZGdnZ2e09HRKRTqM7LYvVTv9v9gOFi+KXPY9VVsvaFa7C9NZihkYy8+g1Ml5vyDfPZNO9urJry3Ye6Q0g76mJSxk2ntmgLofFpnebG3rYDNRiDrTuekgLZ2YFtqNK52LbdaZJuO1v97OVUb1tJVJ/9GXTO/Wx4/c+Urvm5g6zpImP6nUT3G032xw9TtPR9HL+3wXhXWDQ9DjqD1EPPwfLW4AoJ7zQ1UqVzsW2bmpoaoqKaboI1cOBALr30UqZMmUJCQgIej4fQ0FA8nfAXq2P5seqq2PzePwMN/napYxyekkHasVcQ1XskG167tWEzv0bEZBxM5hkq+CvyaziOjbcslxWPzGTX0iqGO5SRV79O0U/vkvPJ7g/ydmO4GHrRU9QWbibvuxdJHn0qCSOPD1wnh0Sor4fIPrDjQdO6F2+gYtOioMfFDjyEjBl34a+ppCpnOdF9R1Gx+UfWv3YbfU++mYShR3f6htejR8OPPwYXO2VKoCZ5V6HfriIi0mr2uGrUsdgw5zZC43oxcOZ/CEvsE6jJ6NhUbF7C+jm3NZoYh0AdxuyPHyJv/muEJvTudEm3a65pfBVNYy66KPhY6Vg6Y2Lcsfwk7j8RgMotP1G69mv6nnQzkb1HAtDz8AsCzYte/SOFi+fulhgHsGor2PbFk2z94H5cIeHkzX8N21fbZbabSsdhmiZe7+5/B3e1bt06brjhBjIzM0lISOD1119vg9m1DsPlxhUWRcb0Oxh51aukHX0JKWOnk3rouQw6/2GG/u4pwhJ7k/XSTc0mxgHKN8zHW1HYBjMX6boMwyQ0rhfR/Ubvdszx15E//zVSxk4nbvARzZ2JPhOvIyyhD5FpIxjym8eJ6jeautLtmCHhSoyL/Eo7rkWtmgoc2yI8JaOZEQ2Fp2Rg++soXDKPyLThAOR9/wo4FoWL3uz0ifGVK4NPjAO8807LdkN3dPoNKyIirSY0Pg3TE97osZqCDax94Vo8EXEMu2QWQ377BK6QcLb+7//qm3c2Zdtn/8Wqq9zXU25VphmovRjMyvEjjww0QNG9kLQVw+UmceQJuH5uLLRp7h1U565h4Fn3kT7xOpLHTCV/wetBrbIpWPQmZet/ICp9JGtnXYXt96oeuexzMTExza4c31W/fv06TZmjxux4IOyOTCB53AzSjrmMnoedT2TPIfgqi1n7wrXY3hrCkvtjhkQ0fTLHprZwcxvMWqRrcyw/vSdej2unZvM75H49i5JVn9N/6u30POI3uBupHR7eI5OMGXeSOGoyhmkSEp2IVVeNKyyK0LienW4hiHQNlmXh9Xrr/+nMHMemOnctG17/M0sfOI2SVZ+RdMDJBGoBBsEwSRp1EsXLP2bbZ4+z4tGzqNq+hozpdxCW3J+qnJXYlr/583Rgm1t4OWBZgR4CXYVuuUVEpNUY7lDihx+zx+M1+VmseOwcNr71dzxRSZRvWEhdSU5Q53YsL4U/zut0K1JNEy67DF59FQYN2v14VBRcfTV8+GEgViWbpS0ZppuM6XdiesKwfbVkvXQTed+9SMLwY3GFRlKweG7Q5ypY9FagcZE7hG2fPRH0/YdIsAzD4Jxzzgk6fsCAARx++OFdoha+YRiYLjeG6cL4+d+u0AhG7GhifdEz7HfNm/SZ/HsiUgc3daK2m7RIV2UYhMalMujcBwlN7LPLQYdNb99J/vw59Bh/NiOveo3+p/2NtKMvIe3YKxh8wWMMvfBJInoNZdPbd/LTfSex+tnLKFn1GabLo67s0uZ8Ph8AK1as4P/+7/+48847efrppyktLQUCSfPOxHFsipd/zJpZVwZKBdoWBYvmEpbYm7ihRwZ1joThxxIS26P+OtiqrWT9q3/EW1FI+rFXBr5PJ0+OR0a2fEwj/c47LdUcD5JqjouItJzj2NSVbGP1U7/D9tU2GXvAzZ+w9cMHKGxB8i0yfQSDzwuygHcH4/cHGph8/jl8+SV4vdC/P5x1FoSFBWK0alzag2Nb1BRsJOeTR6nYtBhwGPzbJ8D2s+bZy4M/kWGy37VzyfvhZQoWvsl+17zZqRroSsdn2zbr1q1j+PDhQd2s33fffVx99dWdeuV4YxzbD4ZJ2bpvKfrpfbzl+ZhuD1F9RpE0+hRCY1PJnz+H7E8eAWenHRymi5FXv44nIq7d5i7S2Tm2RdX2NWz77L/0Pen3hMb1pHzjQoqXfYC3ohDTHUp0/zEk7XciZmgkNXnrsa06wpMHgGFQvX0N+fNfa7SPgCcqicwz7yUsqQ+G2bV+b0nHZFkWP/zwA9dffz0//PBDg2NhYWGcddZZ3H///YSHh3eKz1LHtqjOy2LNc5cHmnEOP46oPvvjCo0gPCUDd3gMWa/cTOWWJXs8R3T/A8mYfiela75k09t3NjgWP/xY+k+5jdXPXMqQ3zzWyj9N66qpgdRUKG+8suluBgyA9etbd05tqeP/bRYRkU4rUIexJwOm38GGOX/C9tU0GmeGRmGYLmxvdYvOb9e1LL4j2XE9edhhcMghgcV7jgMhIe07LxHDdBGe1I+BZ99HXek2ytf/QHhSP8rXN1/DuAHHxl9Thjs0CttbTenar4kfchSGS9vDZd8wTZOBAwfy2GOPcfHFF9PUmp8ZM2Zw7bXXdsp+AE1xbIvawi2sn3Mr3tLtDY5V5awk7/uXSR4zhfRjr8Rwudj6wf31x+MGHqrEuMiv4Fh+ago2kvXi9di+WlY+fj7xQ44kacwU+p1ya32cr7oUy1tNTdFm1j53Bb2OvJDw5AGsefYyags27vH8vspC1r14HUN++1880UkYRtf6/SUdi9/v55NPPuGUU05ptIxKbW0tzzzzDAsWLODbb78lIiICVwe/pjNMF/nzXyPt6ItJGnUSpieMqpwV+KvLqSvJwR2ZwMCz/0Xhj+9QsHhug/djeEomyWOmkLjfiZRvXMDmd+/d7fylq7/Af/zVpB1zWX2jz84qNBTOPRcefji4+Esv/WWxV1fQRX4MERHpqBwHovsewNDfPUn+/DkULf8Qu64KADMknIQRx5EydjqOY+MOj23RuV0RMa0x5TbVVS4opGvZ0VQoJDaVxFEnYbo8mCFhLT6PKyQc6+ddI/7qEhxsDDr2jZR0LqZpcuGFF9KzZ0/+9Kc/8eMu3aRSU1O56qqruPnmm9tphq3HsS3qSrez9oWrsWr30IPDsSlY+Ca2z0vfyTdRtn4+5VnfYZhuehwyE8e2VM9YZC8ZLjdb3r+vfnekY3kpXvERxSs+whUWTb8ptxES15ONb/6NYb97kuyPH8ZweUgcdRJFP73bZGJ8B391Gdu/nkWfE29o7R9Hurna2lpmzJjRbH3x5cuXc/nll/P888+30cz2nr+mnKQDTiGy52Dy5r9K4eK38VX8UijbE5VI35NuJnHUZJLHnEpd6Xb81aW4wqIJS0jHW17Ati+frm+8uSvH8lGVs4Lofge25Y/Vam65BebMgby8puMGDw6UCe1K97Fd6EcREZGOyHS58NdV44npQfrxV5E24VLqyraD4xASm4rpDqFy6zJc4THEjziW/AVzgj53/LAJOJa/03cHF+moDMPEcAVWwUSlj8AVGhV0I9zwHgPxRCVSk5cF8HNzXtU3ln3PMAyOP/54Jk+ezMKFC/nmm2/w+XwMHDiQyZMnB+pzd7EV4xBYEZf90UN7TozvpOind0kaNZnkMVOp2LCAvqfcQkSPgRhd8P+LSFsIlCDbQPX21Y0et2oryP3mBQaf9yDpEy7BtnyBHVSDj8ATGU/B4reD/l4lKz4h/dgrcIU03uRe5Nfy+/089dRTVFRUBBX/6quvcv/995OQkNDKM/t1HMchInUg6168nqqcFbsd91UWkfXyTYQm92fIBY/hjoilYuMiLG8127KXUbr220aT4juz/V4M0+zUq8YhUM4zJSVQ8vP442Hr1sbjRowI9MYKa/mamQ6tc//piYhIp+AOjWDbF09SuXU5pieU0LiemCHheMvzqSvLJbrvKBy/j8ieQwhPbaRLZSNcoVEkjjxBiXGRNmKYbhL2OyHo+OTRU/CW5VGW9T2YLmIHjsfU+1VaicfjAeCAAw7gsssu4+qrr2by5Mm43e4Ov+17bziOg7eigPINC4IeU7DoLWIzxjH0omeIH3qUEuMiv4bjULr6yyZD6kpyyPv+ZWIGjA2sLrctwpL74S0voK5oS9DfyvbVNJrYE9lX3G43zz33XNDxXq+X559/vtlV5u3NExHLlvf+2ez7p65gI0VL3sUw3WR/Gui54wqNImH4MUT2HklTiztCY3t2mR1YbjdkZMC6dfD003DQQRAbC/HxcPTRgVXlS5ZAcnLXWjUOWjnerNmzZzN79mwKCwvbeyoiIp2WbVmkHHgaq5+5lOGXzaZ6+2r81aUYphtfdQlb37+Pis1LGHbxc/Q76WbWPn9106tTDRd9T75ZzYlE2ojjOFTlriN1/EzK1nyNt7zp/ZaRacNJGHk8279+DhyLuEGH44ns2KuLpGtwuVxdMhm+g2PbYBgYhkFIdDIjr3mdoiXvUfjj23jLcpscW5b1LQCh8WmdfoWbSLszTKxGeuUYppu4wYeTNGYK0X1G1b/uCo1k2GUvYpgmZmgEcUOPomzN14GGukGwfbU4joNhaAeWtI7s7OwWxefk5HToXVmO4+CrLKRk1edBxRev/JTkA6cy8spXcYVGNjhWW7SVwsVzKVzyTn0ZJQjUJY/oOahLlSj7ea0B55wDv/lNw2M+H3TVSyxlFZoxc+ZMZs6cSXp6Ojk5Oe09HRGRTsl0ufBEJjD4vIdwhYRTvOJjipa8u1vchtdvY9C5DzLo3AfYNO9uavLW7RYTEptK74nXETNgHDh2W0xfRHBwhURg+2oZOPPfrH/tFmoLNzUaGd1vDP1P+ytV21aR/8OruMKi6XX0pV3qxkGkre0oIVZTsIHCJe/gLcvDMF1E9dmfpNGn0GP8mWz/8hlyv9lzDVirLtAUWyvGRX69QK+chr1vPNHJZJx+NxE9MqnY/CMb595BXck2DNMkstdQkg+cSmhsKv6aCgZM/Qu+yiLyF7xO3vcvN3tNGxLTQ4lx2Wd8Pl/9jisIlFWZNm0aTz75JH5/cA9swsLCsO0OfC/mOBT++E5Q94sRvYaROeNObG81hUveoXDJu9QV52CYLiJ6DSZ59BR6TbiEhJHHk/XKzfirigFIHnsa3vIC3JHxXa5w4E5/PZp8raswnKbauku9HcnxtLS0Fj9Rk47JcWzAaHCRoRt3kdZlW34Mw2Db50+S9/1LjcaEJfVlwPQ7CUtIp2rbKoqXf4S/ugwzJJy4gYcSk3kQVm0l2Z88RkTKAJIPPBUwdbMv0ga2/O/fJI85lbCkvpSvn0/hj29TW5yNYRhEpA4iafSpRKUPp3zDAja8cTuusCgyT7+HsKS++nwV2UuO5cdfU8aGN/9C1dZlux03PWH0OPhMeh5+Abnfzmbb5/9t9DzuyHj2u+ZNXe+K7AOOY1NXup2Vj84EwB0Rx+DzHwbTxYY5f2p0gQcYJIw4lj6TbqJiy094S7eRNOokStd8xca3/r7H2sZhSf0YdvGzrffDSLfhOA6VlZU89dRTfPbZZ9TU1NC7d29++9vfcuihh7J69WomT57Mhg0bmj3XV199xcEHH4y7A9fX2PjmXylZ9VmTMWFJ/Rh8/iPUFGxg/at/xKptvO56WHJ/Ms+4F39NGWufv5r4YRPoO+lGtn3xFL2OvLA1pi9tSMnxICk53vXUFm+lYMEblGV9h+WtwRMRS/zwY0gefSqu8GhtNxVpJY5tU5O/ntVPX7TnINPN0N/+N7D12+XCMF04jk1N7joKFs+lZOWn9VvaovoeQOYZ9wbi9L4VaTWOY+PYFpvm3okrJJzkMVOJ6NmwR0Bl9nJKVnxCXek2Evc7kbjBh4PjqDeAyF5ybAt/bQVrnrm02bIpKeNmkH7sFWS9/HvKN8zf7Xjy2GmkTbiUmvwNRPTIVIJcZB9Y9+L1VGxaTP+pfyGq936see7yZt+rsQMPYcD0O9jy/v/hryphwGl/peDHt8n+8IFG43tPvI6k/Sfrs1R+tbvvvps77riD6urdSwLtv//+vPrqq0RFRTF+/Hi2bNlzXfzhw4ezfPny1pzqPrHxrb9TsvKTJmOGX/4SjuVj9TOXYjdSKmlnYUn9GHzBo9QWbCIybSj5C9/Aqq0g9ZBzOvVnquOAbXfdkinBUHI8SEqOdx2O45D98UMULHi90eOG6ab3iTeQuN9EbV0TaUWrn7mU6u2rGz0Wk3EwmWfcU3/DYXrCf06GN/6RlTDyBPqd/MdWnK2IQCBBbhgm5RsWULDwDWqLc4jJOJDYQUcQ3XtkgxuDHWUgROTX2TTvHoqX/S+o2MEXPIq/uoz1r968yxGDYZc8R3XuOra8/y8Gn/cwYYl99B4V+RUcy4+3PJ8Nr9/GkN/+l60f3k/h4reDGjtg2t8IjU9j1ZMXkjJuBmkTLmX5I2fhK89vEBc/bAL9T/1za0xfupk//elP3HHHHU3GpKSk8N1337Ft2zYOP/zwRmNcLhfz5s3juOOO69Crxh3bIn/BHHI+eXSPMb1PuI7kMVPY+NbfKFn5aVDn7X3CNSSNOpnyzUvY+MafGX75i3gi4vbRrNuOZYFpQmUlfPklVFVBejoccgj4/V2v4WZztMROup2cTx/bY2IcwLH9bHn3XkpXf45jN761TUR+Hcf203fy7zFDwhs9njxmClXbVlOxaTEAtq+GPSXGAYqXf4zv59pvIvLrOZYf++d/dm4WtmN3RnS/0WScfjfDL51F2oTLiOk7Cgzj55JlP8cq6Sbyq1m1lZSsCu6GHaBg0VxiMsYREtezweu9jrqI0IR0Cha+ju2tIfuTR/UeFfmVDJebkNgeDJz5H2x/HcXLPwp6bMGiuYSnZBCZPpLCH9/B9taQfMDJ9cfdEbH0PPwC+k25DW9Foe5LZa/Zts26deuaTYwD5Ofnc/3113PYYYdxwAEH7HY8NDSU2bNnc8IJJ3ToxDiAYbpIGnUShjuk0eMRPQeTdMDJ+KvLKF39ZdDnLVj8NobLTeyAAxl49v/hDoveV1NuMz4fbNsGF10Eqalw0klwxhlw6KGQkQH33x9InnfkkvL7mpLj0m04joO3ooD8+a8FE032J4+CVo6LtArDdBOW1I+hFz1L7MBDGxxzhccQk3EQhUvmBX9Cx6Jw8du6cRD5lRzbxrZ8lKz+nNxvZpH7zfOUrZ9fX1Jlh51XiJuuQHcewzBV2khkH7ItP6Vrv8bxe4MeU7r6CwzDJCp9BBBIsPWeeB2ph5xNzsePUJWzEoCKjQupK8tFm4hFfh3DdOEKjaJi02Jsb03Q4yo2Lcby1hDZawi2r4biFR+RNHrKzwnxPzHiytfoMf5s8r59kW2fPd6pSzZI+3vggcZL9jTmnXfeYdu2bdx3330kJycTFRXFwIED+fvf/05OTg7Tp0/H7CS9nlyhkSSPmdrosZ5H/BYMqNy6tMFCkObUFmzEX12Gv6aciNSBne696fPBunUwZgw89RTsWmFnwwa48UaYMiWQHO8ulwkd+1GPyL7kOBQsfDOobsUAvvJ8ytZ9R0zGQRiG0el+6Yl0RDs3wnVsi9DYHmTMuBPbV0dtcTbV29fgqyzCMExqCze36Ny1hZv1PhXZSzvem7nfzArUT6wpb3DcE5NC6iEzSR49pX0mKNItOVi1lS0aYftqcCw/0QPGET1gLPFDjwbHYfN7/6JoyTsNzl2e9R2Jo07C+PkBl4jsJcfGqmu6VnEjg7C91fW7KGsLt+AKjSJx1GT8lcVs++Ipipa+j1VTTnS/Mft+ztJtmKbJ66/veef8rizLYs6cOVx66aXk5/9S5sfv93f41eKNSZtwCf6q4gY7OzxRicT0H/vzTklfi89p+73UFm4kuv+B+3KqbWbiRCgoaDrm3Xfhj3+Ef/yje6wZ7RyPe0T2AcM0qdi4qEVjyjcuABwqNi1usFVcRPZObeFmtrz/L5Y/OjNwwe+tCTQbqy7BFRpBwvAJ9Dzs3J+jW/gp3B0+tUVaiWGYbJr7d7Z/9exuiXEIPDDe+r9/s+3zJ9thdiLdlYErNLJlI9yhGC43iSOOI6bfgRimi2UPnbFLYjzA9tbuq4mKdFuOHXi47A6PadlAI7Di3KqrJmbAOJIOOAkcG09kAqHxaUT3GxPYAWKYmHsoCyESrJKSkl8d3xkT4wEG/U65lQHT7/j5QZNBTObB9beaobGpLTubOxR3RCyVOSs73Y5Jnw9eeQW2bg0u/oknoK6udefUUXTWv90ie8X2t+wmwPHVYbo8ZL12C5mn30103wO0MlVkL23/+jm2f/kMYUl9GTTzPxguF3nfv0zRknfwVRYBYLhDSNzvRHqfcA3hPTKoyl4W9PnDUzJxbEvvUZEWciw/hUvfC6oRUe63LxDd/0Cidmm+KSL7nulyEzvoMIz//R9OkCvb4gcfAcCKx88nPLkfA077K9iNj3VHxtPiB9Ei0pBhULr2K2IzD8EdEYu/uiyoYXGDDsH0hJIydhqhcT2pzsti21fPYNVU4AqNJG7w4WTMuIu6km1UbVuFY/sxTKVvZO/ExcWRm5sbdHx8fHwrzqZtGT8voIrNOJi4QYdh1Vbi4ODYNqY7hMi0YYQm9qGuaEtQ50sYfgyGy03Z2m/odfgFrTjzfc/jCSS8g1VeDi++COedFxjblXWuxxwiv5InKqmF8YmBLXKWjy3v/lMrU0X2gmPb5C98k+1fPoM7MoHMM/+JVVvB6qcuIvfr5+oT4wCO30vh4rmUrvma5NGnBv09DJeHpANOUrJOZC8YLneg7FiQ8hfMafBecxwbx/Lj2L/8W0T2DXd4NHFDjgw6PmnMFMo3LqSuaDOmJwwA27f7si/TE07ckCMx1ZRT5FexfTWUrvkSw3SRuP/koMcljT4V2+/Fqqti9bOXs/qp35H37WwKf3ybvO9fYs1zl7P66Uvw15QTP/QoJcZlr9m2zbRp04KOd7lcTJ8+HU8Xy4buaELtCovCHRaNYZpYdVXYvlpSDmy8LvnuJzFJPvA0yrN+wPYF32OgI1m7tnXjOyslx6XbcCw/CSOPb9GYhJHHU7b+ewC85XmUZX2PYwXfrEFEAMcm9+tnAehx0BmYnjCyXv59g6T4rgoXzyU8uR+xAw8J6lskjprc8u2sIgJATf56ags2Bh1ftu47rLrq+iR4XWkuud++QPYnD7P96+eoLdwEoM9LkX3AsS3Sj7kMT3Rys7FJB5xCVPoICha+AUBMxkHUFm5udNV5wojj6pPnIrJ3bMtP+foF9DnxRvw1pfQ87DzCewxsdlzS6FOI6T8GX0URa1+4huptKxuNq85dw7rZ11Kdu7ZFDQNFdnX11VcHHTt58mR69epVv+K6q3FsC8dxsL01VOeuw1dRRPKYqcQPP7aZkQa9j7+K8JQMcr9/kfihRzdoVt9ZuFq4lszt7h5NOZUcl27DcLmJHzYBd0RcUPHR/cYQltiHwkVv1b9Wuurz+ieOItI8x/JTsuoz/NVlgZIp+59I0U/v4assbHJcxaZFlK37jn5TbiMyfWSTsbGDDqP3cVfhdIdPbZFW4C3La9kAx8JXWUj19tX4a8oxgKJlH1Kw4HVyv3meVU/+ltXPXk5N4aZOedMg0pEYpgt3RCyDz3toj0k3w+Whx8Fn0XviteQvmEPZum9xRyYQP/gIChbP3S0+PCWDtGMu6x53uyKtyiEsqTe+ikI2zfsHhsvDwJn/Jm7w4dBILWLTE07qYefRZ+L1AKx/9Q/YdVVNfgfbV8vGN/8KhnZHyt4xTZNBgwZxyy23NBubnJzMAw88gN/fNR/GOLZFXel2trx7L0vvP411s69lxWMzKfrpffqdcgu9jrq40WoD4SkZDJj2N5LHTMUwDKpzs0gec2qj7/OObuzYlsUfeCBUVnb9SwZl+aRbMQyTAdP+zrqXbsTx77mzgCcmhb4n3UxVzkoqty6tf92qq2yLaYp0Haar/j0UN/BQ3OExFCx+O6ihG9/6Gxmn38XAmf+maMk7FCye22B1a0SvYSSPOZWEEccBTpdd3SDS2kxPeIvHGO4QyjctoujNv5J51r/IPPOfrHnusvpmntXbVrJ21lUMPOffRPTI1HZwkV/BMN14ohIZeuF/qdy6jMKf3sVblovpCiGq90gSR03GE5lA7rezf26aa5B+7BXYlo/iZR/+ciLTRfyQI+kz6UZMdwiG2flu6kU6mrDEfmR//CCVW5Zg1VXjryljwLS/U1eyjaKl71NXkoNhuIhIG0riiOMxQ8LxluVTW5JNbZA1jr1luZRnfU/MgLFaqCV77c477yQyMpI77riDmprdS4Lst99+vPHGG6SlpXXi5pt75tgWVdkryHr1ZmxvdYNjm9+9l7qyXHocfCY9Dj6DsvXfU1eUjWG6iOg5mKjeI7EtP5XZK4hKH076hEtwRyZ0uvtPvx+uvBLm7v7cvFFpaXDKKYExQ4bA1Vd33UrDhqOldkFJT08nJyeHtLQ0srOz23s68is4tkV17jqyP3qAqpxdtrAZLmIHjqf38dfg2H7WzrqyQemHhJEn0O/kP7bxjEU6t83v/IOipe+TctAZpB56Lkv/76SgxxouD4MveIywhDRMTxi1xTnY3irc4bGExPbAsfy6SRD5lWxfLUvvP223G4U9CU3ozfBLn2fjW3+nZOUnhMSmMvR3T5M//1W2f/Vsg9iQmB4Mv+IljE64skakI9q18bRVW0nRsg8oXDyX2qItGO4Q+ky8noSRJ1Cdu5aSlZ/i+L2ExKSQsP+JeCLi1LxaZB9xbBvH9rP0/qnYdVWkH3slCSOOY/2cP5E0ahLxQ4/G9IT+HOvHqqvBX1VMWFLf+uvjYMUPPZr+U29vrR9FugnHcaioqOCpp57is88+o7a2lrS0NC688EIOO+wwfD5fl6s1voOvqoSVj53b5IJHMySChJHH0/Ow8zBDIvCW5uIt207RT+8RPWBc4D3tDsF0h7ThzPe9Qw+Fb79tPu7RR+HsswNJ8qoq+OQTOPzwQKmVrqYL/kgiTTNMFxE9Mhl8/iNU562nbN032N4a3BFxxA89ipDYHlRsXsLGt/6Gv6q4wdj4oUepU7hICzi2RUhsDyCwcwOnZY36HMtHTX4WtreK/AWvE9lrKGZIOLa3lh4Hn6HEuMg+YLhDSBhxHIWNlF9oTNLoU/BVl1K65isgsKKtePmHJB1wMtu/eR52KqXiLc+jbN13xGYcpPeryD5gmC4cx8FfU07Rsg8oXfEp/toy3OExpE24lKRRJ2GGRmAYBhEpGUT0yAQMHMeub76pxLjIvmGYJt7yovrSKAWL3yJpzBQS95/I5nfuYfM792CGRIBhEJtxMOE9MnBHxBOW1BdfVUmLvldL40UaYxgGMTExXHXVVVx33XX1r+8oo9JVE+OObVGw6M1mKwHY3moKF71Fdc4qhvz2cbZ99jhlWd8BUFeyneQDTsZp4f1sR+P3w7vvwnHHwcKFe47785/h0kvhsssCZVUA/vlPOProtplnW9NdinRLO27Qw5L74o6IwXSHYtVVUb5xIQWL3qImb91uY0JiU4nJOLjTbZ0RaVeGSeKok9j+9Sx8VcWB7uCRCbs9eGpKWGJfvGW5lK7+gtLVXwRO6w6lx8FntNasRbqd1EPPpXTNV82+N8OS+5O0/2QKFr2FY3nrXy9YPJfkMacSM2Ac5T/fROxQvOwD4gYd2irzFumODMPAExFLj7HTSD3o9PrXd10RvvMDKUOtpkRax073hnXF2Wx55176TbkV0+Uh+5NH6z9Xyzf8gCcynqg+o7AtH70nXkdNXhZFP70XSL41k3BTA13Zl3Ytm9IVy6g0YJgULXk36PDq3DVUbV9D/Ijj6pPjNflZWHVVmCEtL0fYkbjdEBUF33wDzz8PDz8MP/4YOObxwLRpgTIqhx4Kt9wCjz32y9gPPoBt26BXr/aZe2vq4u8AkaYZGFRvX8OG1//c5AWJYbrpe9LNgRg1QxEJmmEYhEQnETfoMMrWfoPj95I0ajK53zwf1PjwHgOJ7DWE3G9faPB6RI+M1piuSLdkGCaeyDgGzfwPWS/fhLe88Qad4T0yyTj9HupKt+32nqwt2Iht+ep3iuxs5/JkIrLv7LoCXCvCRdpeSFQSrrBorNoKAIpXfIRj++kz+ffEDz2akjVf4vKEE91/DBgmZeu+pWDrUjBdRKUNJ2PGndSV5bL1g/t3e7i8s9jMg1ROUGQv2d7q3a5HDXcIpisEq64K2L3adG3h5t2ua21/HY7lxxUe3alLBu54FnL22XDhhVBQADU1kJgIkZHw2WcweTK8917DcbYNq1crOS7S5Rimi9iBhzJg2t/Z8v59ja6Y80Qn0++UW4jqs1+n/gUo0l4c26LvSX9g7ayrKF7+MUkHnEL+gteDqm/c4+Az8JbnU7au4c1C0ugpukEQ2YcM001ofC+GXfYCJSs/o/DHedQWbcYwTCJSB5E0+hRiM8dTnZfFti+epsf4s3CHRWH7vdQUbKR01edg241+Tmq1m4iIdFmmSeJ+E8mf/1r9SyWrPqN8wwIS9ptIz8MvwBUaQe7XsyhYPBf/LuVRwlMH0evw35Ax/Q42zbubkhUf7/4tQsJJ3O9EXfeK7LXADg93ZAJJoyaTNOqk+sS3bfkCD60WvUXl5h9/GWEYsFOLRsMdiis0ipzPniAssQ9JB5zc6asKbNsG110HI0ZARASUlMD778OqVXse01U3GXTRH0skeIZhEJt5MCOveo2S1V9QtuYrrLoqXGHRxA+bQOzA8eA4SoyL7CXDdGF6whh0/sPkz38VV2gEA6b9nQ1zbsP27d4pfYfUQ84hYfixbHrnHnB+qWEcGp9G/LAJukEQ2ccMlxsDiB82gcSRxzc4Vv3z1u+InkMYeOY/8FUW46sqxnSHkDJuBr2PuwrTE4rVyEOvmIxxagAoIiJdVvKB0yhc8m6DhR9WXSXu8GhcIeFseP3PlK39utGxNblrWT/nVvpOuom+J/2BuqKtVOeuaRCTdvQlGJ28AaBIe3KFRtDz8N+QeshMbMtHyYqPqdyyFNvyEhKbSuJ+Exk0899UZi9nw+t/wl9VQniPTKpzfym3Gz/saAyXm7J131Cw4HU8UQnEZhzcqe9Je/eGr7+GefOCiw8JgZEjW3dO7cVwHGf3/QOym/T0dHJyckhLSyM7O7u9pyOtZNeVqFqZKrLvBJqXGDiWDzCoK8km79sXKVn9RYPaxZG9R9Jj3AziBh/Bti+fJvfrWfXHQmJTGTjzP4REJ+m9KdLKtnxwP77yfLzlecQPOYrUQ8+hLOs7Cha+SfmGBezYghoSm0rSqJNIHnsa3vICsl68AV9lIRBYZbPfNW/gCo1sx59ERESk9VjeGqq3rWL9nFuxvYGFH6YnnJFXvUbhj/PI+ezx5k9iuhh20TNU52Wx6a2/AYFdXWkTLiVl3PTWnL5Il+fYNoZpkvfDK+R+/XyjjTmj+42h3ym3YNVVkf3JI2Sefg/rXryBik2LMNyhDPnN41h1lWx5/z7qirYSltiHoRc93Q4/zb5j23DjjfDvfwcXf9ZZ8OKLrTun9qLkeJCUHBcR2Xcc28JxHEyXG39NBdW5a3FsP6EJ6YTFp+Etzyfn8/9SsvwjIFDeKGnUZJLHTsflCVNiXKSVObafop/eZ8v795Eydjrpx11J9sePkD//1T2OCU3ozcCz78NfU87aWVdi+2pJO/oSUg4+s9NvOxUREWmMY1sUL/uQuMGH46suJX/BHIqXfUj8sAn0mXgdKx45e4+9PHaVPHYa6RMuY90rfyC67yiSDzgFV3iMPkNF9oFdF101JiSuF4PPfxjHsbHrqlj/6i0kjT6F5NGnNCgT6KsqpmjJu0RnHERESkan3R3pOJCTE1gNXlradGxYGMyfD8OGgatz/rhNUnI8SEqOi4i0jR3lF/w15fgqizDdIYTE9gScTnvhIdJZZX/6GD0PPY+ipe+T/dGDzcaHJfdn6IVPsvWjh/BEJdDz0HPbYJYiIiLtw3Ec/FXFrHvxJnoecT5xgw7D9ntxbIvq7WvIeumGoM/lCo1iv+vfxjBMrNpKyjcuJH7oUa03eZFuwHFsaou2sOqJC3Y/aLiIzTyYpANOJiypH6bbg2NbeKKTKV3zFXGDDsXyVlP04zuUrv0Kq64aV3g08UOPJnHkCZjuUBzA7MQLt/x+WLAAJk3ac4I8PBxefRVOPLFrJsZBNcdFRKSD2ZEAd4fH4A6PaefZiHRv6RMuxbEt8r57Kaj42oKNlK79hvQJl2J6Qlt5diIi0pX4fD48Hk/9136/H3cH7/5mGAaeqETCU/qx8Y3b8UQlkTDiWJLHTsdbltuic1l1ldh11RQt+4Btnz+J7avBE/MwkT2HaIGIyF4zKFjw+m6vRvcbTZ/Jvyc0NpWqnJWUrPgY21+HJyaZhGHHEDf4cOqKt7LmuSuxassbjK3auoxtn/+XPifeQPywY9rqB2kVbjeMHQsrVsD998PTT0NhoDoiMTFw3nmBpp19+3bdxDgoOd6s2bNnM3v2bAp3/O0QERER6SYcy09Z1nf1NcSDUbh4LvFDjmjFWYmISFdiWRY1NTU89dRTvPbaaxQXFxMTE8OUKVO49NJLiYuL69ClRWy/lz6Tfk9daS7V21aS9/3LxGSOx9yLJpqGO4S6kpz6pvWFi+YSdcrwfT1lkW7DMAxKVn3W4LXYzPEMmPZ3Krb8xIbX/0xN7toGx7M/epiEEceSfswVZJ4RqD2+4z25g+2tYdPcOzFMN3GDD+/UD7DcbujZE+66C+64A3JzAyVXevSAHc8rTbN959jauviP9+vNnDmT9957j6SkpPaeiohIl+PYFhC4qbAtf+C1n/8tIu3PAarzslo0pia/ZfEi0np2fKb6KoupzsuiriQHx3HqP39F2pvjOLz66qukpqZy7bXX8s0337Bq1Sp++OEHbrnlFlJTU3nggQfae5p75NgWBQvfxLH9DDrn3/Q8/AI8UYnUFW0hsvdIMIJPuUT0GorpDqG2aEv9azv/t4i0nGPbWLW/NOAMjU+j/9TbKcv6lqxXfr9bYhzA8ddRtORd1s6+lrCkfvSZtKfySA5bP+y4v59awjACK8M9HujdG/r0gdDQQFK8qyfGQSvHRUSkHTi2hVVbScmaLzA94cQOGIc7IhbH8mPVVWKGRmJgqPGmSIfQsvY06mYj0v4cx8EwDErXfUPBwjeo3PJT/bGQuF4kH3AySQdOxXS5MUx91kr7sCyLN998k5kzZ7KnVmher5drr70Wl8vF5ZdfjtnBsjSG6aJg0ZuEJfUlPCWDlIPOIPXQc6nKXUtobCqxGQdRlvVdUOdKHj2FupJtVGxavPM3aKWZtw2/P7AqtaAAliwBywo09OvTB3y+X1alirQWwzQxPeH1K7+TD5yK5a1h49w7oZkHxTW5a8n59FF6T7yObZ8/2WipJH9VMaWrvwysHte9a6fVuX/TiohIp+PYFpXZK6jctpLkA04huu8oCn+cx+b3/snWjx6kfMOCQHbNMLSyTaSdGUBYUr8WjQlP6tsqcxGR4BmGweZ3/sHGN25vkBgH8JZuI+ezx1nz7GVYtVX6rJV24zgOV1111R4T4zv7wx/+QFVVVRvMqmVsfx3eslyKV3xMSEwya1+4huyPH8JfUYC/toKeR16I4W6+B0d46iDih02g8Md54Nj1r0ekZgb1/6cjsixYuhSmT4deveD44wMN/fr1g+OOg88/b+8ZSncRO+hQAExPGIkjJ1K05F0cf11QY4uXf4RVV03SASfvMaYs61slxjs5JcdFRKTNOLZFbXE2pjuE6PSRbHzrbyx/+Ey2ffEkRUvepXDxXDa9fSfLHzqdgsVzO3XtNpGuwHC5iR98BO6IuKDHJI0+ReWRRNqR49hs/+pZipa+32RcbcFGsl69WZ+10i58Ph9vvvkmubnBNa2srq7m6aefxufztfLM9k7p6i/w1ZTT75RbSBl3OlF9DsBwhRKe3J+MGXdhhkTscWxE6mAGnvlP6kpyyF/4RoNjyQeeRkt3cHUElgVvvw3jx8PrrwdWkO/gOPDxx3DCCfB//9d+c5TuwbEtUg48DYDI9JG4wqIoWv5h0ONtXy2lqz4jduAhe4yxvDV7PCadg5LjIiLSZgzTha+ymLDEPqydfR0lKz9tdDubv7qU7A8fYPtXz7b9JEWkIcMkZey0oEJD4noSP/QorZ4RaUeO5Sd/wZygYqu3raJi02KtHpc25/F4mDdvXovGvPPOO3g6WB0O0x1KeOpgMmbchSc8Bnd4LKVrvqQqZwWGAVve/z8ieg5mxOUv0evoiwmNTwPDheEOIarvKPpP/QuDL3gETFegH8BOq1ljBx5KeFI/jE5WWsW2YcMGOOss8Hr3HOc4cOON8MEHgRIrIq3BMF1Epg0jcf/JuMOjAfCVF7ToHL7KIlxh0Xs83pJFJNIx6c5FRETajL+mgqjeI9j22X+pyVvXbPz2r54ldtBhhCf318o2kXZimCaph55LbXEOxcv+t8c4T3QyA8/6V2dc4CbSZdiWn+IVnzRoPtacgkVvEd1vdCvOSqRxLS2TUlFR0Uoz2XuObTHwzHtxbIsNb9xO6dqvwXEYftlsSlZ+StFP71KxaRHJB55G0qiTSR1/doPxNQUbyf7oIerKcsk8/W4i04ZRlbOSqD770//UP+HYNkYHq7MejP/7P6gLomqF48A//xlYRS7SWhzHoc+kGyj6KbCjyvSE1NcgD4bhCmmyDEvCiONwbEv3q52YkuMiItImHMfBX11CiDuFoqXvBT2uYMHr9Jn8+1acmYg0x3Ec+p18M9H9RlOw8HWqt6+pP+YKjyFx5ER6jD8bd1iUVo2LtCPDMKnJz2rRmJr89a00G5GmJScntyg+JSWllWbyazmsmXUl3tJtAET3P5DQuJ5sfOtvAHjLcsn55BG2ffEUMf1G446Iw7H91JXkUJWz8udzGNQW59Bj/Ez81aUk7jcx8GonTIx7vfDCC8HHf/opbN4MfdWyRFqJYRg4jkPSqMkARPcbE9jBHKTofqOpLdzc6LGwpL5E99l/n8xT2o/uXkREpM24QqMo3zC/RSvaild+St+T/tCKsxKR5hiGAUDCsAkkjjye2uJsfOX5mJ4wwnsMDKyUMYz6OBFpRy1s3tdZm/1J52ZZFueccw6PP/540GNmzpyJz+frUKVVDNPF5nf/WZ8YBwhL6I3t91K9bVWDWMdfR1nWd3s4k0NV9jIShh+Lbfvrz90Z5eVBZfCX+jgOrFyp5Li0rh3libyVxSSPmRp0cjyi5xAiew0h65WbdztmhkTQ75RbsXy1uDxh+3S+0rY632NIERHplAzDwPSE4asubdE4x1+H5a1tnUmJSIvsWBUelpBOdL/RRKYNw3R7MExTiXGRjsCxCUvu16Ih4S2MF9kXXC4Xhx12GCNGjAgqPjU1lWnTpnWoxLjjOHjLC3ZLeBsu9141pnYsH7bfi+kK6bSJcYC9uRzohAvkpRNybAt/VTFRvUcSO+iwZuMN003a0RdTV7qd8g3zGxwLTx3EoHPuJySuF3XF2a01ZWkj+hUkIiJtxvSE4vKEt2yQYWK6O86NkIiISEdluNwkjjgeMyQi6DFJo6fsVSJP5Nfy+Xy89NJLxMTENBkXGhrKyy+/3EazagHbCvTicOwGL/ury3CFRuAKj23R6ULiemJ6QjtlKZWd9ewJSUnBx7tcMGpUq01HpJ5hughPycBbnk//KX9qMkFuesLof9pfieozCsMTRvLYaSSMnEjKuNMZfP4jDP3tE7hCI1j7/DWERLfgL7x0SJ37t66IiHQuhkn0gLEYruCT3TEDxnbq1TMiItJ+fD5f/b9rawO7kPz+rpsIdmwLwxVC8phTg4oPT8kgZsA49QqQduHxeBgyZAjffvstBx54YKMxw4YN45NPPuGwww7D7e5gf09NE29l0W4vl2/4Advvra8bHoyQmB5E9z2Aik0/YtVV4+yScO9MTBN++9vg4085BXr0aL35iOzMMAw8UUlgmmRMv4NB5z1E/LAJuCPiMEMiCEvqS6+jL2bEFa8Q3X8MRcs/xBMeQ9rRl9Dv5JvpddTvsOoqWf/arax47DxC43vijohr7x9LfqUO9ukiIiJdlWNZVOeuITJtGHGDDw+6zlvymKk4th/D1EeWiIgEx+/34/f7efbZZ3n00UdZunQpAD179uR3v/sdV1xxBYmJiR0v2fYrGaaLwiXv0uvIC6kr3Ubpqs/3GBsan0bGjLuwaitxhUboQbS0C7fbzaBBg1iwYAGLFy/mxRdfpKioiNjYWKZNm8bhhx+O3+/H5eqAfz8dB9MdutvL/uoySlZ9TvLoUyhY+AaO5Wv2VMljTsX21rDh9dtwHIf0Y68gefQprTHrVmeacO218N//QklJ07EeD9xyC/j90MV+HUsHZpgmBiaOYxMSk0L/U//c4Li/poKipe9TsOgtvD9/lmbMuJPc715i22eP73wiehx0RuDBtD5DOzXDUQeWoKSnp5OTk0NaWhrZ2aonJCKyN7Je/j0pB51BaFwqa567HH91WZPxsQMPYcD0O1XLWEREgubz+cjNzeWYY45h3bp1jcZERkbyxhtvcMwxx3TMpNtechybH+85jn4n30z88GMo+ilwc1+T98v/B3dkAkmjJpMydjr+mjIqtywlYb8TMFuwq0ukNViWBQTqkVuWheM4HfoBlmNbVGxZQtaLN+x2LDwlg8EXPErpmq/Y9PZd4Fh7PE/ckCPpP/V2cr+exfavnq1/vc+JN5I4alJ9I8HOxO+HRYvgxBP3nCAPCYHZs2Hq1EBpFZG25Dg2dcXZrHziAkLjexGW2BfTHYK/ppzK7OU4/roG8b2O/B3JB05l2YPTsb01YJj0PuEakg44RfeqXUDH/aQREZEuxVueT/mGBdQWbWHw+Y8wcOZ/WP/aLXhLtzcaHz9sAn1P/iPgALrgEBGR4Hi9Xo4++mjWr1+/x5iqqiqmTJnCd999x4gRIzp0Aq4ldiTRNr19F9W5a0kZO52kUZOpKdyEv6oE0xNGRI+B2JaPkhUfk/PZE/Q8ogX1D0Ra0c4PqjrDQyvDdBHTbwyhCem7NeSryV/PprfvpP+UP+GOjGP7l89Slb2sQYwnOpnkMafSY/xZlKz8lO1fPdfgePYnD5Mw4lhwh3S6BLnbDWPGwIoV8J//wNNPQ2Fh4FhUFMycGVhdPnCgEuPSfvIXvA4/J8mba6pZsHguPcafRcKI46kr2Ubq+LOJ6jtKifEuQivHg6SV4yIiv07Z+h9Y/8ofAAhN7EPmGf8gJCaFsnXfULjkPbxl2zFMD5Hpw0kecyrhyf2xvNW4WtBUTEREujefz8fDDz/MddddF1T8qaeeyptvvtnKs2pba567nKqclYEvDBexmQcTkzEOV2gktq+Omvwsipd9hFVXCcCQ3z5BeI/MTpd8E+kIHNuifP181s+5dbfGnADR/cbQe+J1hCWkU1OwicqtS3EsH6FxvYjJGIftqyN/wRy2f/kMgQUhDfU+4RqSRp3cafsCOA7YduCf7dvBsgINO0NCAsc7ee9R6cQcx+an+07C9lYHPSbzzH8S2XskLk8YjuXvtO9L2Z2S40FSclxE5NcpWz+f9a/8vv5rMySchBHHkTz6VMJTBtS/7tgWpWu/pnDx2/Q96Q+ExKS0x3RFRKSTGjJkCGvWrAkq1uVykZ2dTWpqaivPqm04lp/ilZ+yed5dQcVHpA5myG8fbz5QZB/z+Xy4XC4cx8G2bTyezlvWx3EcSlZ9xuZ59+BY3kYiDNKPv5rkMVPwlm7H9tXhry6lZM2XFC/7sMnkXMyAcWSeeS+OY+sBlsg+ZNVV89N9k1o0ps+km0gYeQKmkuJdjv5ERUSkTUT0yATDVV9z0fbWULj4bQoXv01oQm/cEXE4lg9vWS7+6lJc4TF4IhPaedYiItKZlJaWBp0Yh0CN42+++YapU6didoEljIbLTcKwCeR99yK1hZuaiyb18PO1+k3ajG3bmKZJSUkJTz/9NFlZWbjdbg4++GBOP/10TNPsFOVUdmUYBvFDjiKm/1gKf3yb4hUf468qxvSEEzNgHMljphCekgFA9iePUrb266DPbdUnzlW6QWRfMvaiz4bpDlEZlS5KV0EiItImPFEJxGYeRNm6b3c7Vle8lbrirQ1eS9zvRNAKGZF2syNhZnlrwbEwQ8Lrj2n1mnRUfr+/xWO8Xi9dazOtwcCz72Pd7OuoLdqyhxAXvSdeS2zmeN3oS5uwLAufz8eVV17J888/j9f7ywrrhx56iGuvvZY//vGPXH/99e04y71nmCYVmxeTNHoKqYfMrH/dsS3K1n1DzqePk3nmvbjDY1t03h3xep+K7Fum20Nk2rBfypA1x3AR3W8Mhtn5HuBJ85QcFxGRNuHYFj0OmUnZ+h/AtpqMNUMjSRk7HXQjINLmHMuP41gULf0fBYveorZgIwCusCgSR04keex0QmJSMLrAKlvpemJjY4mOjqaioiLoMZmZmZ1yteqeGC4X7og4hvz2vxT+9B6Fi+fWryI3PeHEDz+GlLHTCUvqo4SbtBnLsjj++OP56quvGj1eWFjIDTfcQH5+Pvfcc08bz+7XcWyLii1L2PjG7YGmt72G4AqNwvbVUluwCV9loBNl5dZlxA+bQNFP7wZ97vhhE/CW5xMSk4LjOHrPiuwjjuUnaczUoJPjsQPH44nSruauSjXHg6Sa4yIiv57j2JSs+IRN79yzxwS5GRpJ5oy7iUwfrifzIm3Msfz4qktY9+IN1O1hxanh8tD35D8SP/QorSCXDse2ba688koeffTRoOKHDx/O8uXLW3lW7ad+B0htJbbtxx0aBaYLcPT+lTZjWRZ33nknt99+e1Dx33zzDePGjcPt7jxr+dbPua3Zcinxw4+l/5TbWPH4eXv8jN2ZOzKBEVe+SsWGBUQPOBDDcOnBtMg+5NgWa2ZdSfW2VU3GmSHhDD7/UcISe+v+tIvSb1YREWkzhmESP/wYhvzmCRJGHI/hCqk/5gqNIvnA0xj6u6eUGBdpJ45jN5kYB3AsH5vevpPKrctwrKZ3gYi0h2uvvTbopNo111yDz+dr5Rm1nx21xF1hUXgi4jBcbgzDUGJc2tzjjwff+PWBBx7oVIlxgKrs5h+yla7+Am95Pv1OvgXTE95krOHy0H/KbTi2n/CUDEpWfa7EuEgryDzzn0SmDd/jcVdYNJln3KvEeBenleNB0spxEZF9x7FtDNPE8lbjLc/HMExCYlPrb+J10y7S9hzLT9HS/7Hl/X81GWe4Q0kefQop42YQEpMSGGtbGKar/t8i7cm2bWbPns1vfvMbrCYe4Fx00UU88cQTbTgzke7HcRw+/fRTjj322KDHeDweKioqCA0NbcWZ7Vs//d9JWLWVzcaF98hk0Dn3U1eSw+Z591BTsGG3mNCEdPqceANRvfenrnQ7YQlprHr6YoZc8Kg+Y0X2Mce2wDApX/8DBQvfoGrbShzLIiQulaRRJ5G4/6RAI06997q0zvU4VkREuoQdK19cIRGEJ/Vr38mICBBYYVqw+K0mY9wRcWScfg/hPTIoXfU5BYvfpipnBTg2npgUkvafRNKYU3GHResmQtqNaZrMnDmTXr168Ze//IWvv25Y6iAzM5Nrr72WK664QjV8RVqZZVnk5ua2aIzP56O8vJzk5ORWmtW+FxLbk5radc3G1eRlsfb5axh0zn8YetHTVG5dRsmqz7BqKjBDI4gbfDgx/Q/EV1lMxebFRPXen6Kl/6M2f4M+V0VawY73VcyAA4nNPLjBMcf2Y5hKm3YH+lMWEREREWzLR01e1i6vGsQMGEviqMmExqcTGt8L21fLmmcuoya/YayvPJ/tXz1L3vev0P+0vxDTf6y2gEu7MU2TI444gq+++opVq1bx3Xff4ff7GTRoEEcddRR+vx9AiXGRVmaaJpGRkS0eFxER0QqzaR2O5Sdx/0lkf3h/UPF1ZdvBdFG88lPcEbGkH3M5hsuNY1tUbVvFprl3UrL6C1IOmkFU+gi2vPcvovuPaeWfQqR7aywJrsR496E/aREREREBx27wZXS/MfSeeD1hCWlU52Vh+2oxTDdZL920W2J8Z7avhg1z/sSgcx8gokdmfbkkkbbm8XgAGDx4MJmZmTiOU1/HuLPVMxbprEzT5JhjjiEiIoLq6uqgxhx66KF7lVBvL4bLTeJ+J7L9q2ewasqbjU/6uUxDzscP46ssCpzDHYrjr2t4Xgwsbw2O7Sd5zFStYhURaSVaziMiIiIimO5Q3JHxAMQNPoLMM/6BtyyXNc9dzuqnL8YTlUjJio+bTIzv4Fhetn/5tBLj0iGYponH4yEkJARTuxlE2lxUVBRnnXVW0PFXXHFFp2uUa7o9ZMy4CzOk6Uab0f1G0+uoiyhc8m59YhzYLTEOEN4jA19FAdH9xxKTcZAS4yIirURXhyIiIiKCY1sk7j+JsOT+9JtyGyVrviTr5d9TlbOS6H5jCI1LpWDx3KDPV75hAXVluaj3u4hI92bbNn/7299ITU1tNvaoo45ixowZ9Ts/OgvDdBHZayiDz3+E2IGHgtGwPrg7MoHUw84j44x/ULF5CdkfPtDk+dyRCcQNOpyqbWvImH4H6LNURKTV6NGjiIiIiIBhkjxmKmGJffFVFrF53t3gWACEJaZj+71Ub1/dghM6VG5eQsLwY0EryEVEui2Xy0VycjJfffUVEydOZP369Y3GnXjiicyZM6fT9gIwTBdhiX3ImHEn3opCKjYuxPZ7CYlOImbAODAMipd/zOb37gXbavJcPQ4+A4Dk0SfjODaGoXWNIiKtRb9hRURERATDMPBExpMwbAKFi9/GsX7Z0m6YngZfB8ux/Gitm4iIeDwe+vbty5o1a3jzzTc58cQTGThwIEOHDuX8889n4cKFvPfee4SGhuJyuZo/YQdlmIG5e6ISiR9+LPFDjsTwhJHz+X+pKdhEdL/RhManNXmO5ANPo8dBZ8DPCXElxkVEWpeW8YiIiIgI8MtNfdHS9xu87q8pwxUaiSs8JqhmYzuExPXEUI1nkX3CsfwYLjfeikKsuircYVF4ohLrXxfp6HaUSpk8eTKnnnpqg2OWFVhJ3ZkT4zszDAPD5cYIiyI8ZQBV2cvY8t6/6HvS7xl8/iMULn6bwh/fxluWu2ME0f3HkDJ2GrGZ4wOv6PNTRKRN6CpKREREROrZlg9/dWmD18rX/4Dt95I4ciL5818N6jwhsalE9xvdabfHi3QUjm0DULT8IwoXvUV17pr6YxE9h5B84FQShh8HhlaYSufQWD3xrpIU35VhuvBExJF6yDn0POz8+td7HHwGPcafhbd0O7a/DndEPJ7IOBzL346zFRHpnrpEcvzxxx/ngw8+YOPGjYSHhzN27Fhuuukm0tPT23tqIiIiIp2KYbgAA3YqiOKvLqV09RckjZ5CwcI3cOzmb96Tx5wKjr1bUzIRCZ7j2Di2xfrXbqFi44LdjldvX83meXdTsvJTBky/A0wlyEU6oh07s3b9OjS+V8PXtQtERKTNdYkrp/nz53Puuefy2muv8eSTT1JRUcFFF12E36+nriIiIiItYZgmkenDd3s97/tXCIlJpu9Jf2g24R035EhSDjpjt2SAiLSMYZhseffeRhPjOytf/wNb3r9PiXERERGRFjIcx+lyfZK2b9/OUUcdxdy5cxkyZMg+OWd6ejo5OTmkpaWRnZ29T84pIiIi0tE4lp+S1Z+zae4dux2LG3Ik/af8iYotP7H9q2eoyl7e4LgnOpnkMafSY/xZ4DhKjov8Co7j4CsvYPkjZwZ2YTTHcDHiylfwRCWqnJFIJ7CjX4BVV4XtrcUMjcQVEoZjW/r8FBFpQ3u9Z2fu3LksWrSI5cuXs3btWnw+H3fffTennXbaHscsXbqUBx98kCVLluDz+cjMzOT888/n5JNP3ttpNKqiogKAuLi4fXpeERERka7OcLmJH3o0+fNfo3r7mgbHSld/QVZtJb0nXs/g8x6iOi+LqpwVOJaf0LhexGSMw/Z7KVr2IUn7TWynn0Cki3AcCha/FVxiHMCxKFw8l56H/waUHBfpsHb0EShZ8yUFi96kauuywAHDJCbjIFIOPI2YAWNxHEcPukRE2sBeJ8fvv/9+cnJyiI+PJyUlhZycnCbjf/jhBy688EI8Hg+TJ08mOjqaDz/8kBtvvJGcnBwuvfTSvZ1KA7Zt849//IMjjzyS1NTUfXJOERERke4m88x/kfXyTVRvX93g9YpNi1j52DnEDhxP7xOuI3G/E/FWFOArz2frhw9QvPwjbG81Mf3GEBKT3E6zF+n8DNOkOnddi8ZU52VhmCqtItJR7egjsGHOrZRvmL/LQZvyrO8oz/qOxFGT6XPije0zSZFuzLH9GKZ7p6+1k6M72Ovk+B133EHfvn1JS0vjiSee4L777ttjrN/v57bbbsMwDGbPns2wYcMAuOKKKzjzzDN58MEHmThxIv369QPg3//+N4899liT33/NmjW7veY4Dn/+85/Jzs7mpZde2tsfTURERKRbM0wXrtAIBp//MKVrvqJg0VtUZi8D2yYkJoXEUZNIGnUSpiec9a/d2mg9ZF9lkZLjIr9aCytgdr2KmSJdimGYbJr3990T47soWvIunsgEeh7xW60eF2kDjm1j++so+uk9SlZ9jlVThhkaSdzAQ0kafQqusGi9F7uwvU6OH3LIIUHHfv/992zZsoXTTjutPjEOEBUVxeWXX851113HG2+8wfXXXw/AhRdeyIwZM1o0H8dx+Mtf/sK3337L7NmzSUhIaNF4EREREfnFjlUycYMOI37oUUBgxZthmFh11RQv/4D8+XOoK2l896AZEtZWUxXpkhzHISypHxUbFwY9Jiypb/37VEQ6FsexqSvZRsmqz4KKz58/hx7jz8YVEt7KMxPp3hzHoWT152x595/YvpoGx6q3rWL718/R66iL6HHQ6e00Q2lte50cb4n58wNPRQ877LDdjh166KENYgBiYmKIiYkJ+vyO4/DXv/6VL774gueff56ePXs2Gf/MM8/wzDPPBH1+gIKCghbFi4iIiHQFhsuNY9tkf/IItq8Wq6aM8o0Lsb01exzjiU4mLLFPG85SpCtySB4zhYIFc4KMN0geM6VVZyQiv07BwjeCjrV9NRQtfZ/kA07BcLVJ6kak23Fsi9K137Dprb+zp91ajuUj55NHMAyT5LHTtIK8C2qT37CbNm0CoG/fvrsdi42NJT4+ns2bN+/1+f/yl7/w3nvv8eijjxIWFlafyI6NjSUkJGS3+MrKSvLy8lr0PWw7yEY4IiIiIl2Ogzssiu1BJumSDjgpUN5B9w4ie80wTMISehOTOZ7yrO+ajY8ddCihcb3aYGYisjcMw9ytj0dzqretwjjwtFaakYgAZH94P8GUMcv5/L8k7j8JV2hE609K2lSbJMcrKysBiI6ObvR4VFQUubm5e33+l19+GYCZM2c2eH3WrFkcdNBBjX6/Hj16tOh77Ejwi4iIiHQ3hukiZdwMipd/tMcyKjuEJqSTMna6mheJ7AOObdP/1D+xbvZ1VG/fvefSDhG9htHvlFvVOEykg3N2WXRnmG6i+43GHZUAjoO3PJ/KLT+BYzcaLyL7jm35KVv3Db7KoqDiHX8dhUveIWXsNH3WdjFdYm9OY805m/Kb3/yG3/zmNy0ak56eTk5O0zeDIiLSco7jgGMFHtabLm1TE+mgTE8oA8+5n/Uv/56agg2NxoQnDyDzrH9iekLbeHYiXZNhmpjuUAad+yD5P7xK4Y/z8Jb/sgM2JDaVpANOIWXcDAzT1M26SAcXmpBO9fbVuCPjST7wNJJGTcYT2bBfWl1pLoU/vk3B4rmEJfbWQy+RVmK63JSta35n1s7K13+v2uNdUJskx6OiogCoqKho9HhlZeUeV5WLiEjX5Fh+DJeb2oKNVOetAyA8JZOIHhn1x0Sk4zBMN56IeIb87inKs76nYPFb1BRsBAJJ8eQxU4jJOBgcWzfxIvuQYbowTBc9xp9Fj0NmUp27Fqu2And4DOE9Buo9J9JJOLZF8uhTqC3YSMYZ9+AKiaBo2QcU/jiP2qItGBiEpw4k+YBT6HnY+STuNxEzNArUYFek1ezagLM5VhM9d6TzapPMQ79+/QDYvHkzI0aMaHCsrKyMkpISDjjggLaYioiIdBBl638g99vZVG9b2eD1iJ6D6TF+JvFDjminmYnInhiuQAIuZsBYYgeOb3DMsfyBnR+GknQirWFHAjyy5+BdDug9J9IZGKaLqN77MXDmv/GW5pL702xiMw+m3ym3AuArL6Bo+Qdsef8+cr99gcyz/oknPEa7KkVakTsirlXjpXNok0eQY8eOBeDrr7/e7dg333wDwLhx49piKiIi0s4cxyFv/mtsmHPrbolxgOrta9j4xp/J/fbFdpidSPNs28bv9wNgWVb9f3cnje3s0G4PERGRpjm2BYAnNoU+E6/F9IRRuXUZVdnLcIVFMmDqXxhx5StEpg1n3Ys3YPtq23nGIl2XY1skjDiuRWMShh+LY3W/a/+urk3uYsaPH0/v3r155513OO+88xg6dCgQKKfyyCOP4Ha7mTp1altMpcVmz57N7NmzKSwsbO+piIh0eo5tUZWzgpyPH2k2dtvnTxDRazDRfUZpu7h0CH6/H7fbzfr163nuuefIy8sjMjKSk08+mWOOOab+uIiIiEijDBN3eAxFP71P7vcvUVe0pcHhsOT+pB4yk36n3EL2J49SsOhNeow/W9fCIq3AMF1EpY8gPCWDmvz1zca7I+OJH3okhqnr/a7GcBzH2ZuBr732GosWLQJg7dq1rFixgtGjR9O3b18Ajj32WI499tj6+O+//57f/e53eDweTjrpJKKiovjwww/Jzs7m2muv5bLLLtsHP07r2dGQMy0tjezs7PaejohIp7V+zm2Urd19J1FjYjIOIvOMf7TyjESa5/P5yM3N5YILLuDTTz/d7fjAgQN54IEHOP744zFN1QYVERGRxuV89gR53zW9Q7LnkRfS89Bz2fzOvfSZfCOG6o6LtArH8lNbvJW1s67CqqvcY5zh8pB55r1E9d5PD6u6oL1Ojt988828+eabezx+5ZVXctVVVzV4benSpTzwwAMsWbIEn89HZmYm559/PqeccsreTKFNKTkuIvLr+WvKWfqfqeBYwQ0wTEZeNQdPVELrTkykCX6/n+3btzNu3Dhyc3P3GOdyuZgzZw4nn3wyLpcumkVERCRgRxmGsg3z2fDaLUGNyTz7PlyecDxRiYTE9mjN6Yl0a45tUVuczeZ37qF626rdjocl9aPPiTcQmTYcQ4tguqS9To53N0qOi4j8etV5Wax+6nctGjPovIeJSh/eSjMSCc6xxx7LJ5980mxcVFQUubm5REZGtsGsREREpCNyLD+Gy42vsgRXeBS+8gJC43uxdvZ1VG7+MahzxA48hIwZd1FXmktoXGorz1ike3NsP4bppjpvHcXLP8aqKccMjSR+yBFE9d4Px7a0YrwLU6EcERFpM3tzQaEmf9KebNtmw4YNQSXGIdBP5emnn+bSSy/F4/G08uxERESkIyrb8AOFi9+mz6SbqMnLonr7GmIzxwedGAcoy/oeX1WxdlCKtIEddcTDkweQdvTFGKYLx7YB5+fjSox3ZdoPICIibSY0Ph1XWHTQ8WZIBOFJfVtxRiJNsyyLWbNmtWjMiy++qMS4iIhIN5Xz6eNseO1WQuJ64omMZ8Mbt+MKjaSubM+l2Rrl2PjKCzHdIa0zURHZjWG66hPhhmkqKd5NKDnejNmzZzNp0iQKCwvbeyoiIp2e4XKROPKEoOMTRhyHoRsCaUdut5uCgoIWjcnLy2ul2YiIiEhH5dgWhUveJe/7lwBIHj2F0rVf4yvPx7Z8e7eD0hOK49j7eqoiIrITJcebMXPmTN577z2SkpLaeyoiIl1CysFn4gqPbTbOFRZFj/FntcGMRPbMsqwW1w+PiopqpdmIiIhIR2WYrvrEeEhsKuHJ/Sle9gEAdcXZhKdkYIYGf03hjownLCENw1DaRkSkNem3rIiItBnDMPFExjPwrH/ijojbY5wrPIbMM/9JSHSybgik3Z188sktip88eTKWZbXSbERERKSjcWybis0/UlecDVBfRtBbEdiBXrzsA0yXh8SRxwd9zsT9JwHGPp+riIg0pIyDiIi0KcN0EZ48gGGXPE+voy4iJDa1/pgnJoWeR17I8EueJyJ1oGq8Sbtzu90ceeSRDBkyJKh40zS58sorMU1dYomIiHQXjmNRk7/hl68tLwCmOxQAX2URpWu/IuWgM3BHNL+D0hOVSMq4GaBFIiIirc7d3hMQEZHux3C5cYdH0+PgM0k9ZCaWtwYAV0g4jm0pKS4dit/v56GHHmLixIn4/f4mY//whz+QlpbWRjMTERGRjshbloflrSGm/xiqspcBgUadgy94hMwz7iXr1T/irypudKwnOpmBZ92HOzQKw9DKcRGR1qbHkCIi0m52JMFdIeG4QsIbvCbSUbjdbo4++mjmzp1LbGzjq71cLhe33HILd911VxvPTkRERNqbYbiISB1Y/7Xtq6V4+UckjjoJfr629ZblkvXijbijEhh2ySzSj7uSsMQ+BEqnGIQl96f3Cdcw/NLnCU3oheHSWkYRkbZgOI7jtPckOoP09HRycnJIS0sjOzu7vacjIiIibcyyLLxeL7NmzWL27Nnk5eURGRnJpEmTuOKKK+jZs2d7T1FERETa0crHz6O2aAsA4ckDGHrR0+R89gR5371YH+OOTCBl7DQSR03GExGHYwf6lBimC8fyKykuItLGlBwPkpLjIiIiAuDz+fB4PPVfW5aFaZra+iwiItKNObaf4hWfsnneL7vIeh7xW3oedh7ZHz1E/oI5DeINl4eY/gfiiUkhbsiRxPQb3dZTFhERVHO8WbNnz2b27NkUFha291RERESkA9g5MQ6BkioiIiLSvRmmm8SRx+Mt3cb2r54FYPuXT2OYbtKPu5LEUZMpWDyXsrXfYHmrcYfHEp6SQdKYU/FEJbbv5EVEujGtHA+SVo6LiIiIiIiISHPKNy0mf/5rlK//ARybqD6jSDnodGIzDmrQX8exLTC0+0xEpD1p5biIiIiIiIiIyD4S3Xs/YvqNxl9dhreiANPlITQhDTBwHKc+Ga5G9CIi7U/JcRERERERERGRfWRHU013RCzuiNh2no2IiDTFbO8JiIiIiIiIiIiIiIi0NSXHRURERERERERERKTbUXJcRERERERERERERLodJcdFREREREREREREpNtRclxEREREREREREREuh0lx5sxe/ZsJk2aRGFhYXtPRURERERERERERET2EcNxHKe9J9EZpKenk5OTQ1paGtnZ2e09HRERERERERERERH5FdztPQERERERkY7C6wXTBNsO/Nutq2URERERkS5Ll/siIiIi0q1ZFrhcUFoKzz8PW7dCaCgccwwcdRT4/UqSi4iIiIh0RbrMFxEREZFuy++Hujq48kp46aXAf+9wxx0wZAj84x9w0kmBleQiIiIiItJ16BJfRERERLol2w4kww8/HJ59tmFifIfVq+HUU+GFFwLxIiIiIiLSdSg5LiIiIiLd1o03wo8/Nh3jOPC730FeXuC/RURERESka1ByXERERES6pZqaQI3xYPh88MgjWj0uIiIiItKVKDkuIiIiIt2OzwevvQZVVcGPmTUr0LhTRERERES6BiXHRURERKTbcRzYtq1lY7Zvb525iIiIiIhI+1ByvBmzZ89m0qRJFBYWtvdURERERGQfiohoWXx4eOvMQ0RERERE2ofhOGorFIz09HRycnJIS0sjOzu7vacjIiIiIr+CbcO6dTBkSPBjpk8PlGIREREREZGuQSvHRURERKTbMU0YPBiOOCL4MVddBX5/681JRERERETalpLjIiIiItIt+Xzwr39BWFjzsVOmBBLpbnfrz0tEREREWpdj+bEtP7blw7Gs9p6OtCNd3ouIiIhIt+TxwOjR8O67cNppUFbWeNy0aTB7dqAUi6mlJSIiIiKdlmPb4NiUrPmSuqItYBhEpA4mJuMgcGwM09XeU5Q2puS4iIiIiHRbLldgRXhODjz7bOCfLVsCq8mPOgquvhrGjFFiXERERKQzcxwbMMj9bjYFC17HX13a4HhIbCqph8wk6YCT22V+0n7UkDNIasgpIiIi0rX5fIHV5DuzrEACXUREREQ6t01z76R4xUdNxqQeei69jrywjWYkHYHWv4iIiIiIsHtiHJQYFxEREensHMtP4ZJ3m02MA+R+8zwVm5fg2KpD3l0oOS4iIiIiIiIiIiJdkuFyU7DwjaDj8xfMUe3xbkTJcREREREREREREemSago2UpO/Puj4snXfYdVVt+KMpCNRclxERERERERERES6JG9ZbssGONZuDTul61JyXERERERERERERLok0xPW4jGGO6QVZiIdkZLjIiIiIiIiIiIi0iVF9hqKGRIRdHxofBoh0UmtOCPpSJQcb8bs2bOZNGkShYWF7T0VERERERERERERaQHDHULCiOOCjk8afQqObbXijKQjMRzHcdp7Ep1Beno6OTk5pKWlkZ2d3d7TERERERERERERkWY4jo2vspjVT1+Ev6qkydiwpL4MvuBxXCEtL8UinZNWjouIiIiIiIiIiEiXZBgmnog4Bs78D57o5D3GhScPYODZ/8Z0e9pwdtLe3O09AREREREREREREZHWYrjchMWnMfyyFylZ8TGFS+ZRW7QFDJOIHgNJHnMqsQMPBRwM09Xe05U2pOS4iIiIiIiIiIiIdGmGy40BJIw4jsT9T2xwzLH8GKYKbHRH+lMXERERERERERGRbsFw7b5WuLHXpHtQclxEREREREREREREuh0lx0VERERERERERESk21FyXERERERERERERES6HSXHRURERERERERERKTbUXJcRERERERERERERLodJcdFREREREREREREpNtRclxEREREREREREREuh0lx0VERERERERERESk21FyXERERERERERERES6HSXHRURERERERERERKTbUXJcRERERERERERERLodJcebMXv2bCZNmkRhYWF7T0VERERERERERERE9hHDcRynvSfRGaSnp5OTk0NaWhrZ2dntPR0RERERERERERER+RW0clxEREREREREREREuh0lx0VERERERERERESk21FyXERERERERERERES6HSXHRURERERERERERKTbUXJcRERERERERERERLodJcdFREREREREREREpNtRclxEREREREREREREuh0lx0VERERERERERESk21FyXERERERERERERES6HSXHRURERERERERERKTbUXJcRERERERERERERLodJcdFREREREREREREpNtRclxEREREREREREREuh0lx0VERERERERERESk21FyXERERERERERERES6HSXHRURERERERERERKTbUXJcRETanePYOI6DY1v4ayqwvDWB1y1/O89MRERERERERLoqd3tPQEREujfHsakryiZ/wRyKV3yE/XNiPLxHJsmjTyVh5PEYpgvDdLXzTEVERERERESkKzEcx3HaexKdQXp6Ojk5OaSlpZGdnd3e0xER6RIcx6FwyTts/d9/wLEajQlPySDz7Ptwh0UrQS4iIiIiIiIi+4zKqoiISLtwLD9lWd+y9f3/22NiHKAmfz1ZL93YhjMTERERERERke5AyXEREWkXhsvN9i+eAZrfwFSTl0Xpmi9Vg1xERERERERE9hklx5sxe/ZsJk2aRGFhYXtPRUSky3Bsm6ptq6nJzwp6TMGitzBcapUhIiIiIiIiIvuGkuPNmDlzJu+99x5JSUntPRURkS7DcSwqs5e1aExVzqpWmo2IiIiIiIiIdEdKjouISPuw91xnvDFOC+NFRERERERERJqi5LiIiLQ5wzAJjU9r0ZjQ+F6tNBsRERERERER6Y6UHBcRkTZnmC5iBx6COzIh6DFJoyZr9biIiIiIiIiI7DNKjouISLtJPnBqUHGu0CiSRp2EYbpaeUYiIiIiIiIi0l0oOS4iIu3CMF2kHnIOcUOPajLO9ISTMeMuzJDwtpmYiIiIiIiIiHQL7vaegIiIdGcO/U+9nfy04RQsfBNv6bZfDpku4gYeSs8jfsP/t3fvUXbVhd3wv2dmEnKZJORCQM7kAgQiKUIkMVGkfVrMA3aAKHlFqPg8yEVbqLf6UGApfdEqpWpZPCAqQpep1aECJRReXHQhYuXWAEkEilxSLgFngJgJCWEISWbm7PePkGgkl8n1hOzPZ60s1uz9O/t8Zw177TPf+e3fHjByrFnjAAAAwA6lHAegbiqVtTcwjZ46K/tOOzmvvfBI1ry6OA1N/dI8dnL6DR6eotarGAcAAAB2OOU4AHW3rvxuHnN40tKbpCGVhoYN9gEAAADsSMpxAHYblUolqbg0AQAAADufB3ICAAAAAFA6ynEAAAAAAEpHOQ4AAAAAQOkoxwEAAAAAKB3lOAAAAAAApaMcBwAAAACgdJTjAAAAAACUjnIcAAAAAIDSUY4DAAAAAFA6ynEAAAAAAEpHOQ4AAAAAQOkoxwEAAAAAKB3lOAAAAAAApaMcBwAAAACgdJTjAAAAAACUjnIcAAAAAIDSUY4DAAAAAFA6ynEAAAAAAEpHOQ4AAAAAQOkoxwEAAAAAKB3lOAAAAAAApfO2L8d/8IMf5Pjjj8+73/3uTJ06NaeffnoeeeSRescCAAAAAGA39rYvx/fff/9ceOGFueWWW/LjH/84Y8eOzVlnnZVly5bVOxoAAAAAALupSlEURb1D7EhdXV2ZMmVKfvjDH2batGk77LgtLS3p6OhItVpNe3v7DjsuAAAAAAC7XtO2vOiWW27J/Pnz89hjj2XhwoXp7u7OpZdemlmzZm3yNY8++mi+9a1v5eGHH053d3cmTJiQ008/PSeeeOI2h/99a9asyfXXX59hw4blkEMO2WHHBQAAAABgz7JN5fgVV1yRjo6ODB8+PKNHj05HR8dmxz/wwAM566yz0q9fvxx//PEZMmRI7rjjjpx33nnp6OjIX/zFX2xT+HXmzZuXT37yk1m1alVGjRqV73//+9l7772365gAAAAAAOy5tmlZlfvvvz/jxo1LtVrNNddck8suu2yTM8d7enryp3/6p3n55Zdz/fXXZ9KkSUnWLn9y6qmn5rnnnstPfvKTjB8/Pkly+eWX5+qrr97s+z/11FMbfL1q1aosXrw4y5cvzw033JAHHnggN9xwQ0aMGLG139omWVYFAAAAAGDPsU0zx4866qg+j507d25eeOGFzJo1a30xniTNzc0599xz81d/9VeZM2dOvvCFLyRJzjrrrJx88slblWfAgAEZN25cxo0blyOOOCLHHnts5syZk7PPPnurjgMAAAAAQDlsUzm+NR588MEkydFHH/2Wfe9///s3GJMkQ4cOzdChQ7frPYuiyJo1aza5f/bs2Zk9e/ZWHXPJkiXblQkAAAAAgN3HTi/HFy1alCQZN27cW/YNGzYsw4cPz/PPP7/Nx//mN7+ZY445Jvvtt19effXVXHfddXn55Zdz3HHHbfI1XV1dWbx48Va9T61W2+aMAAAAAADsXnZ6Od7V1ZUkGTJkyEb3Nzc35+WXX97m4//mN7/JF77whSxdujR77713DjvssLS1teWggw7a5Guam5uz7777btX7rCv5AQAAAAB4+9vp5fjO9s1vfnOrX3PGGWfkjDPO2KrXrHsgJwAAAAAAb38NO/sNmpubkySvvfbaRvd3dXVtclY5AAAAAADsDDu9HB8/fnySbHRd8VdffTXLli3b6HrkAAAAAACws+z0cvw973lPkuTee+99y7777rsvSTJt2rSdHQMAAAAAANbb6eX4+973vowZMya33XZbnnjiifXbu7q68p3vfCdNTU056aSTdnaMbdbW1pbW1tZ0dnbWOwoAAAAAADtIpSiKYmtfdOONN2b+/PlJkoULF+ZXv/pVjjzyyPXLo8yYMSMzZsxYP37u3Lk5++yz069fv5xwwglpbm7OHXfckfb29nz+85/POeecs4O+nZ1n3QM5q9Vq2tvb6x0HAAAAAIDt0LQtL5o/f35uvvnmDbYtWLAgCxYsSJJUq9UNyvH3vve9ue6663LllVfm9ttvT3d3dyZMmJDPfe5zmTlz5nbEBwAAAACArbdNM8fLyMxxAAAAAIA9x05fcxwAAAAAAHY3ynEAAAAAAEpHOQ4AAAAAQOkox7egra0tra2t6ezsrHcUAAAAAAB2EA/k7CMP5AQAAAAA2HOYOQ4AAAAAQOkoxwEAAAAAKB3lOAAAAAAApaMcBwAAAACgdJTjAAAAAACUjnIcAAAAAIDSUY5vQVtbW1pbW9PZ2VnvKAAAAAAA7CCVoiiKeod4O2hpaUlHR0eq1Wra29vrHQcAAAAAgO1g5jgAAAAAAKWjHAcAAAAAoHSU4wAAAAAAlI5yHAAAAACA0lGOAwAAAABQOspxAAAAAABKRzkOAAAAAEDpKMe3oK2tLa2trens7Kx3FAAAAAAAdpBKURRFvUO8HbS0tKSjoyPVajXt7e31jgMAAAAAwHYwcxwAAAAAgNJRjgMAAAAAUDrKcQAAAAAASkc5DgAAAABA6SjHAQAAAAAoHeU4AAAAAACloxwHAAAAAKB0lOMAAAAAAJSOcnwL2tra0trams7OznpHAQAAAABgB6kURVHUO8TbQUtLSzo6OlKtVtPe3l7vOAAAAAAAbAczxwEAAAAAKB3lOAAAAAAApaMcBwAAAACgdJTjAAAAAACUjnIcAAAAAIDSUY4DAAAAAFA6ynEAAAAAAEpHOQ4AAAAAQOkoxwEAAAAAKB3lOAAAAAAApaMcBwAAAACgdJTjW9DW1pbW1tZ0dnbWOwoAAAAAADtIpSiKot4h3g5aWlrS0dGRarWa9vb2escBAAAAAGA7mDkOAAAAAEDpKMcBAAAAACgd5TgAAAAAAKWjHAcAAAAAoHSU4wAAAAAAlI5yHAAAAACA0lGOAwAAAABQOspxAAAAAABKRzkOAAAAAEDpKMcBAAAAACgd5TgAAAAAAKWjHAcAAAAAoHSU4wAAAAAAlI5yHAAAAACA0lGOAwAAAABQOsrxLWhra0tra2s6OzvrHQUAAAAAgB2kUhRFUe8QbwctLS3p6OhItVpNe3t7veMAAAAAALAdzBwHAAAAAKB0lOMAAAAAAJSOchwAAAAAgNJRjgMAAAAAUDrKcQAAAAAASkc5DgAAAABA6SjHAQAAAAAoHeU4AAAAAACloxwHAAAAAKB0lOMAAAAAAJSOchwAAAAAgNJRjgMAAAAAUDrKcQAAAAAASkc5DgAAAABA6SjHAQAAAAAoHeU4AAAAAACloxwHAAAAAKB0lOMAAAAAAJSOchwAAAAAgNJRjgMAAAAAUDrKcQAAAAAASkc5vgVtbW1pbW1NZ2dnvaMAAAAAALCDVIqiKOod4u2gpaUlHR0dqVaraW9vr3ccAAAAAAC2g5njAAAAAACUjnIcAAAAAIDSUY4DAAAAAFA6ynEAAAAAAEpHOQ4AAAAAQOkoxwEAAAAAKB3lOAAAAAAApaMcBwAAAACgdJTjAAAAAACUjnIcAAAAAIDSUY4DAAAAAFA6ynEAAAAAAEpHOQ4AAAAAQOkoxwEAAAAAKB3lOAAAAAAApaMcBwAAAACgdJTjAAAAAACUjnIcAAAAAIDSUY4DAAAAAFA6ynEAAAAAAEpHOQ4AAAAAQOkoxwEAAAAAKB3lOAAAAAAApaMcBwAAAACgdJTjAAAAAACUjnIcAAAAAIDSUY4DAAAAAFA6ynEAAAAAAEpHOQ4AAAAAQOkoxwEAAAAAKJ09qhy/+OKLM3HixPzoRz+qdxQAAAAAAHZje0w5/vOf/zwPP/xwRo8eXe8oAGyForc3SVLrWZOeN1ak1tO9dnutt56xAGC3tu46WevtfvP6uXrt9t6ejY/rWZOela+6zsJOVBRFilpviqJI76qu9K7q2mDb+nFvnqe9q19Pz6rXUhS1FLXe1HrWpNazZu2YWs9G3wPYeuuueUVvz9prZvdvr5lrz9FaiqKWnlWvpXfNqhS12u+NX7X+a/Y8TfUOsCN0dnbmy1/+cq655pqcc8459Y4DQB8URS2VSkNWPPtglsy/OSuefShJkVQaM+zg92X01FkZMv7IFEWRSqVS77gAsFvpan8sS+bNyfKF9ya13iSVDBl/ZPaZ8uEMO+TopChSaWjIiuceypJ5b15ni9ra6+yE6dln6qwMPWCq6yzsAEVRJLXe9K5+PUvm35zOh3+S7teWJEn6DdknoyYfn1FTZ6Wp/6DUelanc8GtWfLL/y9rlr+YJGkatHdGHtGaUUfOTNOAIWn/xffTPOawDDv4/UmKVCp7zLxGqIvXX3xi7TXzybvX/+Gpedzk7DPlpOw98Q+zaukLefrHf50Rh/3PVP/kU+vHL3viFyl61/7BanDLYdlnyocz/NA/SZJUGhrr9v2wY1WK3/3zZR/dcsstmT9/fh577LEsXLgw3d3dufTSSzNr1qxNvubRRx/Nt771rTz88MPp7u7OhAkTcvrpp+fEE0/crm8gST75yU9m+vTpOfvss3PMMcfkzDPPzMc//vHtPu7vamlpSUdHR6rVatrb23fosQHKpiiKpOjNc//21Sx/8hebHDfyiOMztvU8v7QDwO/49R1XZMm8mze5/6CP/n2GHjgti279WpY9ftcmx4141wcz7oTzFW+wnYpaT1a+tDBP33Bhet9Y8Zb9/ZpHZuIZV6d39et5+rrz0t3VudHjNPQbmANmfTnNYw7Pwh99Lv2Hjs6BJ305aWhwnsI2av/Zd/ObB67f5P4hB7wnB33kq3lj6QsZvN8heemef8pL9/zTJsc3jzk8B53y9TQ07ZVKg/NyT7BNP8Urrrgi119/fV588cU+LWPywAMP5GMf+1jmzZuX4447Ln/2Z3+WZcuW5bzzzsvVV1+9LRHW+9GPfpSVK1fmzDPP3K7jALDrVCqVvPDvl2+2GE+SpY/8JC/+x7W7KBUA7N6KoshL9/zTZovxgaMnZNiE9+bXd1yx2WI8SV75r39Px8++u6NjQqkURS3dry3N09efv9FiPEn2e//HU2loytPX/Z9NFuNJUut+I8/e9P9m9SvtafnAuXl14b15/idfV4zDNiiKWhb/579sthhPkteeeyiLbr0kg/c7JMv/+z83W4wnSdevH82z/3qRYnwPsk0/ya997Wu56667Mnfu3Jx66qmbHdvT05OLLroolUolbW1t+drXvpYLLrggt9xySw4++OB861vfyqJFi9aPv/zyyzNx4sTN/lvnmWeeyXe+8518/etfT4P/KQHeFoqiyJrXlmTpI7f3afxvHropvatf38mpAGD3V/SszuIt/JI/asrMrHltSTp/eVufjrlk/r+l543XdkQ8KK3Fc3+c3lVdG93X0H9gRhx2XDp/eWu6u5Zu8VhFz+os/s/rMmTc5AwYNT6vPHZnVi9/Kdtw0z+UWtHbm5f/87o+jV3+1D15Y8lzfV4q5bVF89PV/pjnd+whtqlRPuqoo1KtVvs0du7cuXnhhRdywgknZNKkSeu3Nzc359xzz01PT0/mzJmzfvtZZ52Vn/3sZ5v9t84jjzySV155Jccee2wmTZqUSZMmpaOjI5dcckk+9KEPbcu3BsDOVhRZMv/f1q572pfhPavT+fBtPngAUGpFb0+WPvrvqa15Y5NjKo39MuIP/ufaYrzo23Wz6O1O5y9vdZ2FbVDUail6urP0sTs2OWb4O/84Df326vMfrJK1RV131ysZecSfJimyZN6cJMpx6KuityfLfnVnelf1/Y+/S+bNydADpqRp8PA+j7fu+J5hpz+Q88EHH0ySHH300W/Z9/73v3+DMUkydOjQDB06tE/HnjFjRg477LANtp111lmZNWvWZtc/nz17dmbPnt2n91hnyZIlWzUegI2rNDTk9Y7Ht+o1r7/4hA8eAJRapbFpi9fPpkF7p7H/QNdZ2EUqDQ15Y8mvU9vMXY79h++fNa8tWf+Azr4oaj1Z+fLC7LX3/knePEctrQJ919CY11/cymthx9prYf+ho9Pz+rItj3/xiW1Nx25mp5fj65ZMGTdu3Fv2DRs2LMOHD8/zzz+/TcfeWJHer1+/7LPPPht9v3W6urqyePHirXqvWq1vMxwB6IOtnJ1W9PbspCAA8PaxpdndlcamdQO37rius7DNtnT+VCqNW/3ZN1l7vlcamvr0HsCGKpXKVt8RVdTWnmfrzrstjnde7jF2ejne1bV23a0hQ4ZsdH9zc3NefvnlnR3jLe+57777btVrfndddAC2T//h+ye/frTP4/caXk1R1MyYAaC0ilotew3ff7Njela+mqKopf/e79iqY+81opqiKFKpVLYnIpROURTZa+/9kkrjJpcy6lm5LP2aR6ah34DUulf1+dh7Dd9//czUvYb3bVlbYK2i1rP+zou+Wnee9axc3rfxI5yXe4qdXo7vanfdtfknsifJGWeckTPOOGOrjtvS0pKOjo5tjQXAm4pab/Z598y88ui/9/k1+xzpORIAlFylklHvPjEv39+2yZnhtTUrs+KZBzNq8vFZ+nDf1zce9e6ZWbuesXIctk6RpkF7Z9iE6Xn1v+/f6IjlT92T6gfOyfBJH8jSR37Sp6MOrk7KwH0OSPud30mSjDryxDdnklv+CPqi0tCUkZOPz4v3zO7znRuj3n1CVr7831m9rG/d36jJJ6To7fntXVu8be30KXjNzc1Jktde2/gi+F1dXZucVQ7AnqfS0JjB1UkZtP+kLQ9OMvSg92av4fubNQ5AqVUqlfQfOjp7H/LWZzn9riULbsng/Q/N4JZ39em4Q8ZPycBR41xnYRtUKg0par0ZPf2UbOqPS2tefTkrnp6b0e+ZlfSx3B497aNZ9UpHXntuXgbuOyFDxk5WjMNW6jd4eEYcekyfxu41cmyGHvTevNG5qG/HHjo6ww/9Y8X4HmKnfwIaP358kmx0XfFXX301y5Yt2+z64ADseYpabw76yNe2eNv3gH0OyPgPXbTV68UBwJ6oqPVm3IkXZuC+B29yzIpnHsjKl/87B/4/f7vFpRgGjBqXA0662HUWtlPzmMNT/cA5m9z/0n0/yl4jx2bc8ResXYJlM/Z938cy/NA/zsv3/iD9h47OQSdf6hyFbVDUahnb+n+2OCmrX/PIHPSRS9K7qivD3/k/0jzu3Zsd3zRoWCac8vUdGZU62+nl+Hve854kyb333vuWfffdd1+SZNq0aTs7BgC7kUpDY5oGDs07z/he9plyUhr2GrzB/saBQzN6+imZePp30th/gJkyAJC118+Gpr0y8X9flX3f97E0DRq2wf6G/gMzavIJ6TdkdJoGDMnEM67OPlNnpXGv5g3GNQ4YktHTTs7E07+bxr0Guc7Cdqg0NCZFLftO/2gOOvnSDG45bCNjGrLqN89lxGEzcvBpl2XI+Cn5/ZnmA/c9OOM/dFGqf/KpvHTfD9PQf0Amnvm99Gse7hyFbVBpaEilsV8O+fj/zX7v/19pGjxig/0N/QZk5OTjM/GM76Vxr0F56p//Ml0vPJwJp34j7/ijM9NvyD4bHq+pf0a867hMPON7GTByTJ8f3Mnur1IURbE9B7jmmmty2WWX5dJLL82sWbPesr+npycf/OAHs3jx4txwww059NBDk6xdTuXUU0/Nc889l9tuuy0HHHDA9sTYadra2tLW1pa77rorq1evTrVaTXt7e71jAewRiqKWpJKiZ01WPPdQele/nqYBQzPkwKmpVBqTSsXDwQDg9xRFkRRFUtSyYtH89Kxcnsb+gzPkgKlp6LdXkmLtcg9vrk1e9HZnxbPz0ru6K00DhmTIAe9JpXFt2WY5FdgxiqKWolZLQ2NT3uhclDcWP50kGbjvhAwcNT613p40NDat/+/qZS/m9ZeeTGq9GTBqfAbtd3B6V7+e1a90ZMCosak0/fZcBrZd8eb1Msnaa+bry9LYf1CGHDAlDf0Gpqj1pqGxKStfWphVr7yQgfsdkgF7759UGvLa879Md1dnGvoNyNDxU9I4oDlFrZZKg/NyT7JN5fiNN96Y+fPnJ0kWLlyYX/3qVznyyCPXL48yY8aMzJgxY/34uXPn5uyzz06/fv1ywgknpLm5OXfccUfa29vz+c9/Puecs+nbj3YX6x7IqRwH2DmKorb2Q0ulUSEOAH209pf+3qTSsNkS7bfX2c2PA7ZfURTrl0KpNGz6s21R601RFL+dGd6HcxnYdpu6Zha13qRSSWrF2ps6fvccdF7u8bbpHoD58+fn5ptv3mDbggULsmDBgiRJtVrdoBx/73vfm+uuuy5XXnllbr/99nR3d2fChAn53Oc+l5kzZ25HfAD2FJVKw4YfQgCALapUKklly7/Wuc7CrlOpVPr0oL5KQ+OGi6v04VwGtt2mrpnr/0C1sRWMnJd7vO1eVqUszBwHAAAAANhzmDoAAAAAAEDpKMcBAAAAACgd5TgAAAAAAKWjHN+Ctra2tLa2prOzs95RAAAAAADYQTyQs488kBMAAAAAYM9h5jgAAAAAAKWjHAcAAAAAoHSU4wAAAAAAlI5yHAAAAACA0lGOAwAAAABQOspxAAAAAABKRzm+BW1tbWltbU1nZ2e9owAAAAAAsINUiqIo6h3i7aClpSUdHR2pVqtpb2+vdxwAAAAAALaDmeMAAAAAAJSOchwAAAAAgNJRjgMAAAAAUDrKcQAAAAAASkc5DgAAAABA6SjHAQAAAAAoHeU4AAAAAACloxzfgra2trS2tqazs7PeUQAAAAAA2EEqRVEU9Q7xdtDS0pKOjo5Uq9W0t7fXOw4AAAAAANvBzHEAAAAAAEpHOQ4AAAAAQOlYVqWP+vfvn+7u7jQ0NOQd73hHveMAAAAAALAZ++23X+bNm7fJ/U27MMvbWm9vb5KkVqulo6OjzmkAAAAAANgeyvE+GjBgQFatWpXGxsaMHj263nEAAAAAANiM/fbbb7P7LasCAAAAAEDpeCAnAAAAAACloxwHAAAAAKB0lOMAAAAAAJSOchwAAAAAgNJpqncA2FVuueWWzJ8/P4899lgWLlyY7u7uXHrppZk1a1a9o0HpLV68OLfffnvuvvvuPPvss+ns7MywYcNy5JFH5uyzz84RRxxR74hQWitWrMiVV16Z//qv/0p7e3teffXVDB8+PAcccEBOO+20HHvssalUKvWOCbzp2muvzT/8wz8kSa6//vpMnjy5voGg5I455ph0dHRsdN8pp5ySv/3bv93FiYCN+elPf5rrrrsujz/+eN54442MGjUqkydPzl//9V/nHe94R73jsRMpxymNK664Ih0dHRk+fHhGjx69yQ8owK73wx/+MNdee23Gjh2bo446KiNHjszzzz+fO++8M3feeWcuu+yytLa21jsmlNKyZcty00035YgjjsgHPvCB7L333lm6dGl+/vOf57Of/Ww++tGP5qtf/Wq9YwJJnnnmmVx55ZUZNGhQVq5cWe84wJuGDBmS008//S3bDzvssDqkAX5XURS5+OKLc/3112fs2LFpbW3N4MGD85vf/CYPPfRQOjo6lON7uEpRFEW9Q8CucP/992fcuHGpVqu55pprctlll5k5DruJO+64IyNGjMjUqVM32D5v3rx84hOfyODBg3PPPfekf//+dUoI5dXb25uiKNLUtOGciq6urpxyyil5+umnc9ttt+Xggw+uU0IgWXuunnLKKalUKhk/fnxuvfVWM8dhN3DMMcckSe666646JwE25p//+Z9zySWX5LTTTsuXvvSlNDY2brC/p6fnLZ+D2bNYc5zSOOqoo1KtVusdA9iIY4899i3FeJJMnTo106dPz/Lly/PUU0/VIRnQ2Ni40V8Impubc/TRRydJnn/++V0dC/g91157bZ588sn83d/93Vt+sQcA3mrVqlX59re/nTFjxuSLX/ziRq+fivE9n58wALu1dR9GfCiB3cvq1aszd+7cVCqVTJgwod5xoNQWLlyYq666Kuecc467OGA3tGbNmtx8881ZvHhxhg4dmiOPPDLvfOc76x0LSu++++7L8uXLc9JJJ6VWq+WOO+7IokWLMmTIkBx11FEZN25cvSOyC2gaANhtvfjii7n//vuzzz775JBDDql3HCi1FStW5Ac/+EFqtVqWLl2au+++Oy+99FI+/elPZ/z48fWOB6XV09OTCy+8MAcddFA+9alP1TsOsBFLlizJhRdeuMG2P/zDP8w3vvGNjBgxok6pgMceeyzJ2jslZ86cmeeee279voaGhnziE5/IBRdcUK947CLKcQB2S93d3Tn//POzZs2anHfeeW4RhzpbsWJFrrrqqvVf9+vXL+eff37OPPPMOqYCrr766jz11FO54YYb0q9fv3rHAX7PrFmzMm3atEyYMCH9+/fPM888k6uuuip33313zj333PzLv/xLKpVKvWNCKS1dujRJMnv27EyaNCk33nhjDjrooDzxxBP5m7/5m3z/+9/PmDFj8rGPfazOSdmZrDkOwG6nVqvli1/8Yh566KF89KMfzYc//OF6R4LSa2lpyVNPPZXHH388P/vZz/LZz342l19+eT7zmc+kp6en3vGglJ588slcffXVOfPMM/MHf/AH9Y4DbMSnP/3pTJs2LSNGjEhzc3OOOOKIfO9738uUKVPyy1/+Mr/4xS/qHRFKqyiKJGsnfXz729/O4YcfnsGDB2fq1Km58sor09DQkNmzZ9c5JTubchyA3UpRFLnoooty6623ZubMmfnKV75S70jA72hsbExLS0s+9alP5fOf/3x++tOf5oYbbqh3LCilCy64IGPGjMlnPvOZekcBtkJDQ0NmzZqVJFmwYEGd00B5NTc3J0kOO+yw7LvvvhvsO/jggzNmzJi88MILWbFiRT3isYsoxwHYbaybMX7TTTflhBNOyN///d+nocGlCnZXRx99dJLkwQcfrHMSKKcnn3wyzz77bN71rndl4sSJ6//dfPPNSZJTTjklEydOzJ133lnnpMDvGz58eJLkjTfeqHMSKK8DDzwwSTJkyJCN7l+3fdWqVbssE7ueNccB2C3UarV86Utfypw5c9La2ppvfOMb1hmH3dzixYuTxLkKdfKRj3xko9vnzZuXRYsW5ZhjjsmIESNSrVZ3cTJgSx599NEkcX5CHU2fPj1J8uyzz75lX3d3d1544YUMGjTIg3P3cMpxAOrud4vxD37wg/nmN7+pbIPdxBNPPJGWlpa3zKhZvnx5Lr/88iTJH/3RH9UjGpTeJZdcstHtF154YRYtWpQ///M/z+TJk3dtKGC9p59+OqNHj87QoUM32D5v3rzMnj07/fv3z7HHHlundMDYsWNz9NFH5957782NN96Yk08+ef2+a665JitWrMjMmTPT1KQ+3ZP56VIaN954Y+bPn58kWbhw4fpt624FnzFjRmbMmFG3fFBm3/72tzNnzpwMGjQo48ePz3e/+923jJkxY0YOPfTQOqSDcpszZ07+9V//NdOnT8/++++fgQMH5sUXX8x//Md/ZOXKlTnuuONy4okn1jsmAOx2br/99vzjP/5j3ve+96VaraZ///5ZuHBh7rvvvjQ0NOQrX/lK9t9//3rHhFK7+OKLc+qpp+aiiy7KnXfemQMPPDCPP/545s6dm2q1mvPPP7/eEdnJlOOUxvz589evv7jOggUL1j8ApVqtKsehTjo6OpIkK1euzNVXX73RMdVqVTkOdXDcccelq6srDz/8cB566KGsWrUqw4YNy5QpU/LhD384xx9/fCqVSr1jAsBuZ/r06XnmmWfy+OOP58EHH8yaNWsycuTItLa25hOf+EQOP/zwekeE0hs7dmxuuummXHnllbnnnnty3333ZdSoUTnttNPyl3/5lxk5cmS9I7KTVYqiKOodAgAAAAAAdqWGegcAAAAAAIBdTTkOAAAAAEDpKMcBAAAAACgd5TgAAAAAAKWjHAcAAAAAoHSU4wAAAAAAlI5yHAAAAACA0lGOAwAAAABQOspxAAAAAABKRzkOAAAAAEDpKMcBAAAAACgd5TgAAAAAAKXz/wOZkmKU431DwQAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# find code for making nice bar graph\n", + "# makes nice bar plot\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patches\n", + "\n", + "sns.set_style(\"ticks\", {'axes.grid' : False})\n", + "\n", + "# either 'remote' or 'reward'\n", + "#load_file = 'reward'\n", + "\n", + "# replace values < 1e-4 with 0.0001\n", + "ron_non_target_array = np.array(ron_non_no_reward)\n", + "ron_non_target_array[ron_non_target_array<1e-4] = 1e-4\n", + "ron_non_no_reward1 = ron_non_target_array.tolist()\n", + "\n", + "pippin_non_target_array = np.array(pippin_non_no_reward)\n", + "pippin_non_target_array[pippin_non_target_array<1e-4] = 1e-4\n", + "pippin_non_no_reward1 = pippin_non_target_array.tolist()\n", + "\n", + "ginny_non_target_array = np.array(ginny_non_no_reward)\n", + "ginny_non_target_array[ginny_non_target_array<1e-4] = 1e-4\n", + "ginny_non_no_reward1 = ginny_non_target_array.tolist()\n", + "\n", + "arthur_non_target_array = np.array(arthur_non_no_reward)\n", + "arthur_non_target_array[arthur_non_target_array<1e-4] = 1e-4\n", + "arthur_non_no_reward1 = arthur_non_target_array.tolist()\n", + "\n", + "molly_non_target_array = np.array(molly_non_no_reward)\n", + "molly_non_target_array[molly_non_target_array<1e-4] = 1e-4\n", + "molly_non_no_reward1 = molly_non_target_array.tolist()\n", + "\n", + "tonks_non_target_array = np.array(tonks_non_no_reward)\n", + "tonks_non_target_array[tonks_non_target_array<1e-4] = 1e-4\n", + "tonks_non_no_reward1 = tonks_non_target_array.tolist()\n", + "\n", + "pippin_head_dir_plot = pippin_no_random.copy()\n", + "pippin_content_plot = pippin_no_reward.copy()\n", + "pippin_non = pippin_non_no_reward1.copy()\n", + " \n", + "tonks_head_dir_plot = tonks_no_random.copy()\n", + "tonks_content_plot = tonks_no_reward.copy()\n", + "tonks_non = tonks_non_no_reward1.copy()\n", + "\n", + "ginny_head_dir_plot = ginny_no_random.copy()\n", + "ginny_content_plot = ginny_no_reward.copy()\n", + "ginny_non = ginny_non_no_reward1.copy()\n", + " \n", + "ron_head_dir_plot = ron_no_random.copy()\n", + "ron_content_plot = ron_no_reward.copy()\n", + "ron_non = ron_non_no_reward1.copy()\n", + " \n", + "molly_head_dir_plot = molly_no_random.copy()\n", + "molly_content_plot = molly_no_reward.copy()\n", + "molly_non = molly_non_no_reward1.copy()\n", + " \n", + "arthur_head_dir_plot = arthur_no_random.copy()\n", + "arthur_content_plot = arthur_no_reward.copy()\n", + "arthur_non = arthur_non_no_reward1.copy()\n", + " \n", + "matplotlib.rcParams.update({'font.size': 20})\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 0\n", + "plt.rcParams['ytick.major.width'] = 2\n", + "\n", + "fig, ax = plt.subplots()\n", + "fig.set_size_inches(18,10)\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.spines['bottom'].set_color('black')\n", + "ax.spines['left'].set_color('black')\n", + "ax.spines['bottom'].set_linewidth(2)\n", + "ax.spines['left'].set_linewidth(2)\n", + "\n", + "swarm_ax = sns.stripplot(x=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(1,len(pippin_non)),\n", + " np.repeat(1,len(pippin_content_plot)),\n", + "\n", + " np.repeat(2,len(tonks_head_dir_plot)),\n", + " np.repeat(2,len(tonks_non)),\n", + " np.repeat(2,len(tonks_content_plot)),\n", + "\n", + " np.repeat(3,len(ginny_head_dir_plot)),\n", + " np.repeat(3,len(ginny_non)),\n", + " np.repeat(3,len(ginny_content_plot)),\n", + "\n", + " np.repeat(4,len(ron_head_dir_plot)),\n", + " np.repeat(4,len(ron_non)),\n", + " np.repeat(4,len(ron_content_plot)),\n", + "\n", + " np.repeat(5,len(molly_head_dir_plot)),\n", + " np.repeat(5,len(molly_non)),\n", + " np.repeat(5,len(molly_content_plot)),\n", + "\n", + " np.repeat(6,len(arthur_head_dir_plot)),\n", + " np.repeat(6,len(arthur_non)),\n", + " np.repeat(6,len(arthur_content_plot)),\n", + "\n", + " ]), \n", + " y=np.concatenate([pippin_head_dir_plot,\n", + " pippin_non,\n", + " pippin_content_plot,\n", + "\n", + " tonks_head_dir_plot,\n", + " tonks_non,\n", + " tonks_content_plot,\n", + "\n", + " ginny_head_dir_plot,\n", + " ginny_non,\n", + " ginny_content_plot,\n", + "\n", + " ron_head_dir_plot,\n", + " ron_non,\n", + " ron_content_plot,\n", + "\n", + " molly_head_dir_plot,\n", + " molly_non,\n", + " molly_content_plot,\n", + "\n", + " arthur_head_dir_plot,\n", + " arthur_non,\n", + " arthur_content_plot,\n", + " ]), \n", + " hue=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(2,len(pippin_non)),\n", + " np.repeat(4,len(pippin_content_plot)),\n", + "\n", + " np.repeat(1,len(tonks_head_dir_plot)),\n", + " np.repeat(2,len(tonks_non)),\n", + " np.repeat(4,len(tonks_content_plot)),\n", + "\n", + " np.repeat(1,len(ginny_head_dir_plot)),\n", + " np.repeat(2,len(ginny_non)),\n", + " np.repeat(4,len(ginny_content_plot)),\n", + "\n", + " np.repeat(1,len(ron_head_dir_plot)),\n", + " np.repeat(2,len(ron_non)),\n", + " np.repeat(4,len(ron_content_plot)),\n", + "\n", + " np.repeat(1,len(molly_head_dir_plot)),\n", + " np.repeat(2,len(molly_non)),\n", + " np.repeat(4,len(molly_content_plot)),\n", + "\n", + " np.repeat(1,len(arthur_head_dir_plot)),\n", + " np.repeat(2,len(arthur_non)),\n", + " np.repeat(4,len(arthur_content_plot)),\n", + "\n", + " ]), \n", + " palette=['black','peru','blue',], \n", + " alpha=1,zorder=1,size=10,\n", + " edgecolor='white',linewidth=1,dodge=True)\n", + "\n", + "t_ax = sns.boxplot(x=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(1,len(pippin_non)),\n", + " np.repeat(1,len(pippin_content_plot)),\n", + " \n", + " np.repeat(2,len(tonks_head_dir_plot)),\n", + " np.repeat(2,len(tonks_non)),\n", + " np.repeat(2,len(tonks_content_plot)),\n", + " \n", + " np.repeat(3,len(ginny_head_dir_plot)),\n", + " np.repeat(3,len(ginny_non)),\n", + " np.repeat(3,len(ginny_content_plot)),\n", + " \n", + " np.repeat(4,len(ron_head_dir_plot)),\n", + " np.repeat(4,len(ron_non)),\n", + " np.repeat(4,len(ron_content_plot)),\n", + " \n", + " np.repeat(5,len(molly_head_dir_plot)),\n", + " np.repeat(5,len(molly_non)),\n", + " np.repeat(5,len(molly_content_plot)),\n", + " \n", + " np.repeat(6,len(arthur_head_dir_plot)),\n", + " np.repeat(6,len(arthur_non)),\n", + " np.repeat(6,len(arthur_content_plot)),\n", + " ]), \n", + " y=np.concatenate([pippin_head_dir_plot,\n", + " pippin_non,\n", + " pippin_content_plot,\n", + " \n", + " tonks_head_dir_plot,\n", + " tonks_non,\n", + " tonks_content_plot,\n", + " \n", + " ginny_head_dir_plot,\n", + " ginny_non,\n", + " ginny_content_plot,\n", + " \n", + " ron_head_dir_plot,\n", + " ron_non,\n", + " ron_content_plot,\n", + " \n", + " molly_head_dir_plot,\n", + " molly_non,\n", + " molly_content_plot,\n", + " \n", + " arthur_head_dir_plot,\n", + " arthur_non,\n", + " arthur_content_plot,\n", + " ]), \n", + " hue = np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(2,len(pippin_non)),\n", + " np.repeat(4,len(pippin_content_plot)),\n", + " \n", + " np.repeat(1,len(tonks_head_dir_plot)),\n", + " np.repeat(2,len(tonks_non)),\n", + " np.repeat(4,len(tonks_content_plot)),\n", + " \n", + " np.repeat(1,len(ginny_head_dir_plot)),\n", + " np.repeat(2,len(ginny_non)),\n", + " np.repeat(4,len(ginny_content_plot)),\n", + " \n", + " np.repeat(1,len(ron_head_dir_plot)),\n", + " np.repeat(2,len(ron_non)),\n", + " np.repeat(4,len(ron_content_plot)),\n", + " \n", + " np.repeat(1,len(molly_head_dir_plot)),\n", + " np.repeat(2,len(molly_non)),\n", + " np.repeat(4,len(molly_content_plot)),\n", + " \n", + " np.repeat(1,len(arthur_head_dir_plot)),\n", + " np.repeat(2,len(arthur_non)),\n", + " np.repeat(4,len(arthur_content_plot)),\n", + " ]),\n", + " #capsize=0.1,errcolor='black',\n", + " linewidth=2, #facecolor=(1, 1, 1, 0),\n", + " palette=['black','peru','blue',],\n", + " zorder=2,showfliers=False,showcaps=False,whis=0)\n", + "\n", + "for patch in t_ax.patches:\n", + " patch.set_alpha(0.5)\n", + " \n", + "ax.get_legend().remove()\n", + "\n", + "plt.yscale('log')\n", + "#plt.ylim(-0.2,0.001)\n", + "\n", + "# save figures\n", + "#if load_file == 'reward':\n", + "# plt.title('All rats: arm assembly activity at reward times')\n", + "# filename = ('/cumulus/mcoulter/content_figures/plot_pdf/figure_3e_.pdf')\n", + "# plt.savefig(filename, format=\"pdf\")\n", + "#elif load_file == 'remote':\n", + "# plt.title('All rats: arm assembly activity at remote times')\n", + "# filename = ('/cumulus/mcoulter/content_figures/plot_pdf/figure_3g_.pdf')\n", + "# plt.savefig(filename, format=\"pdf\") " + ] + }, + { + "cell_type": "code", + "execution_count": 403, + "id": "bee1af30", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ron\n", + "ron reward vs non-reward MannwhitneyuResult(statistic=17181.0, pvalue=0.44504647518594387)\n", + "ron reward vs random MannwhitneyuResult(statistic=2917.0, pvalue=2.44313320254501e-13)\n", + "tonks\n", + "tonks reward vs non-reward MannwhitneyuResult(statistic=61725.0, pvalue=1.836992322644521e-13)\n", + "tonks reward vs random MannwhitneyuResult(statistic=13190.0, pvalue=1.1159036384309645e-19)\n", + "ginny\n", + "ginny reward vs non-reward MannwhitneyuResult(statistic=29888.0, pvalue=6.440105668953165e-09)\n", + "ginny reward vs random MannwhitneyuResult(statistic=5643.0, pvalue=2.530856492424904e-15)\n", + "pippin\n", + "pippin reward vs non-reward MannwhitneyuResult(statistic=459.0, pvalue=0.004652782169871234)\n", + "pippin reward vs random MannwhitneyuResult(statistic=46.0, pvalue=0.1605283605283605)\n", + "molly\n", + "molly reward vs non-reward MannwhitneyuResult(statistic=32465.0, pvalue=1.6589160009136501e-06)\n", + "molly reward vs random MannwhitneyuResult(statistic=5771.0, pvalue=1.7498108539819713e-11)\n", + "arthur\n", + "arthur reward vs non-reward MannwhitneyuResult(statistic=21783.0, pvalue=0.40104131218346517)\n", + "arthur reward vs random MannwhitneyuResult(statistic=2110.0, pvalue=8.403661404449791e-06)\n" + ] + } + ], + "source": [ + "# mann whitney test - reward time removed\n", + "import scipy\n", + "\n", + "print('ron')\n", + "print('ron reward vs non-reward',scipy.stats.mannwhitneyu(ron_no_reward, ron_non_no_reward))\n", + "print('ron reward vs random',scipy.stats.mannwhitneyu(ron_no_reward, ron_no_random))\n", + "print('tonks')\n", + "print('tonks reward vs non-reward',scipy.stats.mannwhitneyu(tonks_no_reward, tonks_non_no_reward))\n", + "print('tonks reward vs random',scipy.stats.mannwhitneyu(tonks_no_reward, tonks_no_random))\n", + "print('ginny')\n", + "print('ginny reward vs non-reward',scipy.stats.mannwhitneyu(ginny_no_reward, ginny_non_no_reward))\n", + "print('ginny reward vs random',scipy.stats.mannwhitneyu(ginny_no_reward, ginny_no_random))\n", + "print('pippin')\n", + "print('pippin reward vs non-reward',scipy.stats.mannwhitneyu(pippin_no_reward, pippin_non_no_reward))\n", + "print('pippin reward vs random',scipy.stats.mannwhitneyu(pippin_no_reward, pippin_no_random))\n", + "print('molly')\n", + "print('molly reward vs non-reward',scipy.stats.mannwhitneyu(molly_no_reward, molly_non_no_reward))\n", + "print('molly reward vs random',scipy.stats.mannwhitneyu(molly_no_reward, molly_no_random))\n", + "print('arthur')\n", + "print('arthur reward vs non-reward',scipy.stats.mannwhitneyu(arthur_no_reward, arthur_non_no_reward))\n", + "print('arthur reward vs random',scipy.stats.mannwhitneyu(arthur_no_reward, arthur_no_random))" + ] + }, + { + "cell_type": "markdown", + "id": "eaf00e3f", + "metadata": {}, + "source": [ + "## Figure S6" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6ec827cf", + "metadata": {}, + "outputs": [], + "source": [ + "# Figure S6A - left panel is from Figure 6F" + ] + }, + { + "cell_type": "code", + "execution_count": 191, + "id": "cec885af", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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7KtOK5meLTz/91Nz+xz/+4bdZHSVp3769uZ2/3jOlpKRo5syZFVFSuXgzHd4wDD399NPKzMyUJIWEhKhXr16+KQwAYAlCPACcA26//XYzPCUmJur2228vcsTxyy+/1Lhx48z7V1xxhbp06VJhdZakfv36WrBggRnkd+/erdtvv73I0fMHH3xQo0eP1vLlywuszp/f4cOH9dBDDykrK0uS1LRpUzVp0qTQfuvXr1fr1q3N28GDBy18VWe348ePa926deb9yrqg3Q033GBuf/HFF3r//fcL7bN7924NHz5cBw4c8PnK+uW1ZMkSDRo0SEuWLFFKSkqx++3YsUN33XWXvvjiC/OxkSNH+mUNDACA51jYDgDOAdWrV9fMmTM1atQopaena+/evRo4cKAuuugitWjRQllZWdqyZUuBc32bNm2q5557zn9FF8Ed5IcNG6b4+HgzWM2fP1+1a9c29zMMQ999952+++47BQcHq2XLlmratKmqVq2q1NRUHTp0SL/99pu5ynhgYKAee+yxCn0to0aNKrTafv4PJLZu3Vrk1PPZs2cXO5r96quvFlqQ7swPMYrq8/7779eVV17pce2e+vzzz5WTkyNJqlq1qq666irLj2GFzp07q1evXlqzZo0k6emnn9YHH3ygjh07Sso7hcP9/XLTTTfp4MGDio2N9V/BHti6daseeeQRBQUFqXnz5mrWrJmqVasmh8OhxMRE7dy5s8AVAySpT58+Gjt2rJ8qBgB4ihAPAOeILl266N1339WECRMUHx8vwzC0efPmAufCuv3jH//QzJkzK+X0cvfU+uHDh5tB/vbbb9f8+fNVq1YtSQUXKsvKytL27du1ffv2IvurVauWnnrqKV1++eVFthuGUeB+YGCgJa9j9+7dJV6HPS0tTTt27Cj0uHvmQFGOHDlS5HPyK6o9KSmpxOeUVf6p6X379q1U124/0wsvvKCRI0dq69atkvJO2dizZ0+BfQYNGqSpU6dq5MiR/ijRY/lnCmRnZ+uPP/7QH3/8Uez+ERERuu+++zR8+HDLvr8BAL5DiAeAc0jHjh315ZdfaunSpVq1apV27NihkydPKigoSHXq1FGnTp103XXX6dJLL/V3qSU677zzCgT5P//80xyRr1Wrlv73v/9p+/bt+umnn7Rlyxbt3r1bR48eVXp6ukJCQlSzZk21atVKPXv21A033KDIyMhij5U//Fx88cWqX79+RbxE29u+fXuBr11lXJU+vxo1amjhwoX6+OOP9cUXX+jPP/9Uamqq6tatq3bt2mnIkCG65JJL/F2mR2699Vb16NFDP/74o7Zs2aJdu3bpyJEj5qXxIiIiVLduXV1wwQX6xz/+oWuuuabAB18AgMrNYZw5xAAAAEz33nuvVq1aJUl699131aNHDz9XBAAAzmUsbAcAQDFyc3P1yy+/SMo7b5oADwAA/I0QDwBAMX7//XfzfPH77rvPz9UAAAAQ4gEAKNb69eslSV27dlX37t39XA0AAADnxAMAAAAAYBuMxAMAAAAAYBOEeAAAAAAAbIIQDwAAAACATRDiAQAAAACwCUI8AAAAAAA2QYgHAAAAAMAmCPEAAAAAANgEIR4AAAAAAJsgxAMAAAAAYBNB/i7ALnJzc5Wdna2AgAA5HA5/lwMAAAAAkiTDMJSbm6ugoCAFBDBOe7YjxHsoOztbcXFx/i4DAAAAAIrUvn17hYSE+LsM+Bgh3kPuT7Tat2+vwMBAP1cDAAAAAHlycnIUFxfHKPw5ghDvIfcU+sDAQEI8AAAAgEqH037PDXxUAwAAAACATRDiAQAAAACwCUI8AAAAAAA2QYgHAAAAAMAmCPEAAAAAANgEIR4AgAoWFxenW265Rbm5uf4uBQAA2AwhHgCACrZ27VotXLhQJ0+e9HcpAADAZgjxAABUMJfLJUk6evSonysBAAB2Q4gHAKCCOZ1OSdKRI0f8XAkAALAbQjwAABXMHeIZiQcAAN4ixAMAUMHc0+kZiQcAAN4ixAMAUMEYiQcAAGVFiAcAoIJxTjwAACgrQjwAABWM1ekBAEBZEeIBAKhAhmHI6XQqNDSUEA8AALxGiAcAoAKlp6fr9OnTuuCCC5hODwAAvEaIBwCgArnPh2/btq1OnTqltLQ0P1cEAADshBAPAEAFcp8P37ZtW0mcFw8AALxDiAcAoALlH4mXCPEAAMA7hHgAACqQO8RfeOGFkrjMHAAA8A4hHgCACuSeTt+sWTMFBwczEg8AALxCiAcAoAI5nU5Vq1ZNwcHBio6OZiQeAAB4hRAPAEAFcjqdqlmzpiSpfv36jMQDAACvEOIBAKhALpdLUVFRksRIPAAA8BohHgCACsRIPAAAKI+gsjypdevWHu3XtWtXLViwoMR91q5dq48++khbtmwx/7Dp0KGDBg8erMsvv9yj46Snp+uDDz7QihUrdODAAWVlZSk6Olq9evXSsGHDdN5553nUDwAAvpY/xDMSDwAAvFWmEG8FwzA0ZcoULVq0qMDjCQkJ+vrrr/X1119ryJAh+s9//iOHw1FsPwcOHNDo0aO1d+/eAo/v2bNHe/bs0ccff6yZM2eqZ8+ePnkdAAB4w+VyqXnz5pLyRuKPHTumnJwcBQYG+rkyAABgB+UK8bfccotuvfXWYtvDwsKKbXvllVfMAN+2bVvdddddatSokeLj4zV37lxt375dixYtUlRUlMaNG1dkH6mpqRozZowZ4AcPHqx+/fopNDRU69ev11tvvaXk5GQ98MADWrhwoS644IJyvFoAAMrvzJH4nJwcnThxQvXq1fNzZQAAwA7KFeJr1aqlVq1aef28/fv3a+7cuZKkdu3a6YMPPlBoaKgkqUOHDurdu7eGDh2qrVu3au7cuRo0aJAaN25cqJ958+Zpz549kqSJEyfqrrvuMttiYmLUrVs3DR06VOnp6Xruuec0f/78srxMAAAsc+Y58ZJ09OhRQjwAAPCIXxa2e/fdd5WdnS1JeuKJJ8wA7xYWFqYnnnhCkpSdna333nuvUB9ZWVlmKG/RooVGjBhRaJ+YmBgNGjRIkrR+/Xpt3brV0tcBAIA3cnJylJSUVGB1ekksbgcAADxW4SHeMAx98803kqTmzZurY8eORe7XsWNHNWvWTJK0atUqGYZRoD02NlanTp2SJA0YMEABAUW/lJtuusnc/vrrr8tbPgAAZZaYmChJ5ki8e/Sdxe0AAICnKjzEHzx4UAkJCZKkLl26lLhv165dJeWNUBw8eLBA24YNGwrtV5R27dopPDxckrRx48Yy1QwAgBWcTqekv0N8lSpVVLNmTUbiAQCAx8p1TvyKFSu0bNkyHTlyRIGBgapTp45iYmI0cOBAde/evcjn7N6929x2r85bnPzte/bsUaNGjbzuJygoSI0aNdLOnTsLPAcAgIrmcrkkyZxOL+WdF89IPAAA8FS5RuL//PNP7du3T6dPn1ZaWpr279+vJUuW6Pbbb9e9996r5OTkQs/J/4eK+1zA4uRvP/MPHPeoRXh4uKpVq1ZiP+6Fg5xOpzIzM0t+UQAA+MiZI/FS3u86RuIBAICnyjQSHxYWpt69e6tHjx5q1qyZIiIi5HQ6FRsbq4ULFyoxMVGrVq3SPffco3nz5ik4ONh8bmpqqrntnuZe0nHc0tLSCrS5+ymtjzP7SU1NVUhISKnPAQDAasWF+AMHDvirJAAAYDNlCvFr164tcvT7kksu0bBhwzRq1Cht375dsbGx+vDDDzV8+HBzn9OnT5vb+cN9UfKH7YyMjAJt7n5K6+PMfvIfHwCAiuRyuRQSElLgA+j69esrNjbWj1UBAAA7KdN0+pKmr9euXVuvvfaaGa7ff//9Au1VqlQxt7Oysko8Tv6p72dehs7dT2l9nNlP/uMDAFCRnE6noqKi5HA4zMeio6M5Jx4AAHjMJ6vTN2rUSJdccokkaf/+/eZq9JIUERFhbp85Rf5M6enp5vaZ0+bd/ZTWx5n95D8+AAAVyel0FphKL+WNxKekpCglJcVPVQEAADvx2SXmWrRoYW7nD/H5F6srbSGf/O3uxenO7CctLc28Xnxx3CMcNWvW5Hx4AIDfFBXi3b/PWNwOAAB4wmch3jCMIh8///zzze09e/aU2Ef+9jMvI5f/Q4KS+snOzlZ8fHyh5wAAUNFcLleBy8tJf39ITYgHAACe8FmIz39N9nr16pnbDRs2VN26dSVJv/zyS4l9uNvr1aunhg0bFmjr1KmTuV3SgkBbt241p9xffPHFHlYPAID1ShqJ57x4AADgCZ+E+Pj4eP3444+S8s6Pzx/iHQ6HrrzySkl5I+ibN28uso/NmzebI+xXXnllgUWAJKlr166qWrWqJGnJkiXFjvx/8skn5vZVV11VthcEAIAFigrxNWrUUJUqVRiJBwAAHvE6xK9evVrZ2dnFtp84cUL333+/uWr8bbfdVmif22+/XUFBeVe3e/rppwtdPi4jI0NPP/20JCkoKEi33357oT5CQkI0bNgwSXmj/m+//XahfTZt2qTFixdLygv9HTp08OQlAgDgE0VNp3c4HIqOjibEAwAAj3h9nfhnnnlGWVlZ6tOnjzp27KgGDRooNDRULpdL69ev18KFC5WYmCgpb8p7USG+WbNmGjFihGbPnq2tW7fqlltu0ahRo9SoUSPFx8drzpw52r59uyRp5MiRatq0aZG1jBw5Ul9++aX27dun6dOn68CBA+rXr59CQ0O1fv16vfnmm8rOzlZoaKgeffRRb18qAACWMQyjyJF4Ke+8eKbTAwAAT3gd4iXp2LFjWrBggRYsWFDsPn369NEzzzxT7Grw48aN08mTJ7V48WJt375d48aNK7TPP//5Tz344IPFHiMyMlKzZ8/W6NGjtW/fPi1atEiLFi0qtM+MGTPUpk0bz14cAAA+kJaWpszMzCJDPCPxAADAU16H+GnTpik2NlabN29WfHy8EhMTlZKSovDwcEVHRysmJkYDBw5UTExMif0EBAToueeeU58+fbRo0SLFxcWZ0wzbt2+vIUOGqGfPnqXW06RJE3366af64IMPtGLFCh04cEBZWVmKjo5Wz549NXz4cDVo0MDblwkAgKVcLpckFZpOL+WNxP/0008VXRIAALAhr0N8165d1bVrV8sK6Nmzp0dhvSTh4eEaNWqURo0aZVFVAABYy+l0ShIj8QAAoFx8dok5AADwt9JC/LFjx5STk1PRZQEAAJshxAMAUAFKm06fm5ur48ePV3RZAADAZgjxAABUAPdIfI0aNQq1RUdHSxIr1AMAgFIR4gEAqABOp1PVq1dXUFDh5Wjq168vSZwXDwAASkWIBwCgArivwFKUunXrSmIkHgAAlI4QDwBABXA6nUUuaidJISEhql27NiPxAACgVIR4AAAqQEkhXso7L56ReAAAUBpCPAAAFaCk6fRS3nnxjMQDAIDSEOIBAKgAjMQDAAArEOIBAKgApYV4RuIBAIAnCPEAAFSA0qbTR0dHE+IBAECpCPEAAPhYdna2kpKSSp1On5qaquTk5AqsDAAA2A0hHgAAH0tMTJSkUqfTS2I0HgAAlIgQDwCAjzmdTkklh/jo6GhJYnE7AABQIkI8AAA+5nK5JKnUS8xJjMQDAICSEeIBAPAxT0biq1WrptDQUEbiAQBAiQjxAAD4mCch3uFwcJk5AABQKkI8AAA+5nK5FBISorCwsBL3i46OZiQeAACUiBAPAICPOZ1O1axZUw6Ho8T9GIkHAAClIcQDAOBj7hBfGkbiAQBAaQjxAAD4mMvlKnFlejdG4gEAQGkI8QAA+Jg3I/HHjx9XdnZ2BVQFAADsiBAPAICPeRri69evL8MwdOzYsQqoCgAA2BEhHgAAH/N0On10dLQkcV48AAAoFiEeAAAf82Y6vSTOiwcAAMUixAMA4EOGYXgc4uvWrSuHw0GIBwAAxSLEAwDgQ2lpacrKyvJoOn1wcLBq167NdHoAAFAsQjwAAD7kdDolyaOReInLzAEAgJIR4gEA8CFvQ3x0dDQj8QAAoFiEeAAAfMjlckmSR9PpJUbiAQBAyQjxAAD4ECPxAADASoR4AAB8yB3ia9So4dH+7pF4wzB8WBUAALArQjwAAD7kdDpVvXp1BQYGerR/dHS00tPTderUKR9XBgAA7IgQDwCAD7lcLo+n0kt5I/GSOC8eAAAUiRAPAIAPOZ1Or0J8dHS0JHFePAAAKBIhHgAAHypriGckHgAAFIUQDwCAD7lcLo8vLydJVatWVXh4OCPxAACgSIR4AAB8yNuReIfDoejoaEbiAQBAkQjxAAD4kLchXvr7MnMAAABnIsQDAOBD3k6nl/LOi2c6PQAAKAohHgAAH8nKytKpU6cYiQcAAJYhxAMA4COJiYmS5HWIZyQeAAAUhxAPAICPuFwuSfJ6On39+vV14sQJZWVl+aIsAABgY4R4AAB8xOl0SirbSLwkJSQkWF4TAACwN0I8AAA+UtYQX79+fUnivHgAAFAIIR4AAB8p63R690g858UDAIAzEeIBAPARp9OpKlWqKCwszKvn1a1bVwEBAYzEAwCAQgjxAAD4iNPpVM2aNeVwOLx6XmBgoOrUqcNIPAAAKIQQDwCAj7hcLq+n0rtFR0czEg8AAAohxAMA4CPukfiyqF+/PiPxAACgEEI8AAA+Up4Qz0g8AAAoCiEeAAAfKc90ekbiAQBAUQjxAAD4iBUj8YZhWFwVAACwM0I8AAA+Ut5z4k+fPq2kpCSLqwIAAHZGiAcAwAcMw5DT6SzX6vSSmFIPAAAKCCrLk7Zt26bvv/9eGzZs0K5du3Ty5EkFBwerbt26iomJ0T//+U917ty5xD4++eQTTZ482aPjPf/887rppptK3Cc9PV0ffPCBVqxYoQMHDigrK0vR0dHq1auXhg0bpvPOO8/j1wcAQHmlpqYqOzu7XCPxknT06FG1adPGytIAAICNeR3ihw4dql9++aXQ41lZWdq3b5/27dunTz/9VDfeeKOeeeYZhYSEWFJoSQ4cOKDRo0dr7969BR7fs2eP9uzZo48//lgzZ85Uz549fV4LAABS3lR6SeU6J15iJB4AABTkdYhPSEiQJNWtW1fXXnutOnfurPr16ys3N1ebN2/WvHnzlJCQoM8++0w5OTmaOXNmqX2+/fbbqlu3brHt7j9kipKamqoxY8aYAX7w4MHq16+fQkNDtX79er311ltKTk7WAw88oIULF+qCCy7w8hUDAOA9d4gv63T6yMhIRUZGcpk5AABQgNchvnnz5ho3bpz69OmjwMDAAm0dO3ZU//79dcstt2jfvn1atmyZbrnlllKn1jdt2lQNGzb0thRJ0rx587Rnzx5J0sSJE3XXXXeZbTExMerWrZuGDh2q9PR0Pffcc5o/f36ZjgMAgDdcLpekso/ES3kfYjMSDwAA8vN6Ybu33npL/fr1KxTg3WrWrKlJkyaZ91esWFH26kqRlZVlhvIWLVpoxIgRhfaJiYnRoEGDJEnr16/X1q1bfVYPAABu5Z1OL+WdF89IPAAAyM8nq9N37drV3I6Pj/fFISRJsbGxOnXqlCRpwIABCggo+uXkXxTv66+/9lk9AAC4OZ1OORwOVa9evcx9MBIPAADO5JMQn5WVZW47HA5fHEKStGHDBnM7/wcHZ2rXrp3Cw8MlSRs3bvRZPQAAuLlcLlWvXr3YmWueiI6OZiQeAAAUUKZLzJUm/+r1zZs3L3X/yZMna/fu3Tp16pQiIiLUpEkT9ejRQ7feeqvq1atX7PN2797t0XGCgoLUqFEj7dy5s8BzAADwFafTWa6p9FLedHpG4gEAQH6Wj8Tn5uZq9uzZ5v2+ffuW+pzY2FidPHlSWVlZSkxM1G+//aY333xTV199tRYuXFjs89yjE+Hh4apWrVqJx3Bfb9fpdCozM9OTlwIAQJlZEeKjo6PldDp1+vRpi6oCAAB2Z/lI/LvvvqstW7ZIkq6++mq1b9++2H0bNWqkq6++WjExMeZl5A4ePKiVK1dq5cqVOn36tKZMmSKHw6EhQ4YUen5qaqokmVPlSxIWFlbgeRVx/XoAwLnL5XKV+fJybu4PoBMSEtS4cWMrygIAADZnaYiPjY01rwtfq1YtTZ06tdh9r776ag0cOLDQOfMdOnRQv3799O233+q+++5TVlaWnn/+efXu3Vt16tQpsK97ZCI4OLjU2vKHdkY0AAC+5nQ6C/3e8pb7A+6jR48S4gEAgCQLp9Pv2rVLY8eOVXZ2tkJCQvTKK6+odu3axe5ftWrVEhe9u+KKK3TvvfdKktLT0/X//t//K7RPlSpVJBVcSK84+afQu58HAICvWHVOvCTOiwcAACZLQnx8fLxGjBihpKQkBQYG6qWXXipxtXhPDR482Az6+RfLc4uIiJAkpaWlldpXenp6oecBAOArVkynr127tgICAlihHgAAmMod4hMSEnTnnXfq2LFjcjgceu6553T11VdbUZtq1apl/gGUkJBQqN09zTAtLc28Xnxx3KMYNWvW5Hx4AIDPWTESHxgYqHr16hHiAQCAqVwh3ul0asSIEYqPj5ckPfHEExowYIAVdZkMwyi2rUWLFub2nj17it0vOzvbrDH/cwAA8IWsrCwlJyeXO8RLeR9YM50eAAC4lTnEJycn66677tKff/4pSRo/frxuu+02ywqTpJMnTyoxMVGSVLdu3ULtnTp1MrdjY2OL7Wfr1q3mlPuLL77Y0hoBADiT+3dXeafTS3nnxTMSDwAA3MoU4tPT0zV69Ght27ZNknT33Xdr9OjRlhYmSYsWLTJH4rt06VKovWvXrqpataokacmSJcWO2n/yySfm9lVXXWV5nQAA5Od0OiWJkXgAAGA5r0N8Zmamxo4dq19//VWSNHz4cI0bN86rPg4ePKjt27eXuM+3336rN954Q1LeavKDBg0qtE9ISIiGDRsmSdq9e7fefvvtQvts2rRJixcvlpQX+jt06OBVrQAAeMvqEM9IPAAAcPP6OvHjx4/XDz/8IEnq3r27/vnPf+qPP/4odv/g4GA1a9aswGOHDh3S8OHDFRMToyuuuEIXXHCBatWqJcMwFB8fr5UrV2rlypXmyPojjzyievXqFdn/yJEj9eWXX2rfvn2aPn26Dhw4oH79+ik0NFTr16/Xm2++qezsbIWGhurRRx/19uUCAOA1d4i3cjq9YRglXpoVAACcG7wO8V999ZW5/fPPP6t///4l7t+gQQOtXr26yLZNmzZp06ZNxT43LCxMkydP1pAhQ4rdJzIyUrNnz9bo0aO1b98+LVq0SIsWLSq0z4wZM9SmTZsSawUAwAoul0uSdSPxmZmZcrlclvQHAADszesQb4ULL7xQ06dP1+bNm7V161YdP35cLpdL2dnZql69us4//3z16NFDN998s2rVqlVqf02aNNGnn36qDz74QCtWrNCBAweUlZWl6Oho9ezZU8OHD1eDBg0q4JUBAJA3Eh8aGqqwsLBy91W/fn1JeZdKJcQDAACvQ/zOnTvLfdDIyEj179+/1FF8b4SHh2vUqFEaNWqUZX0CAFAWTqfTkqn0Ut5IvCQdPXpUF154oSV9AgAA+yrXdeIBAEBhVk59d4d4VqgHAAASIR4AAMs5nU7LQnxERISqVq3KCvUAAEASIR4AAMtZOZ1eyjsvnpF4AAAgEeIBALCc1SvJc614AADgRogHAMBiVk6nl/6+VjwAAAAhHgAAi1k9nT46Oprp9AAAQBIhHgAASxmGYfl0ekbiAQCAGyEeAAALpaSkKDs72/Jz4l0ulzIyMizrEwAA2FOQvwsAAOBs4nQ6JcnyEC9JCQkJatKkSaF2wzB06tQpxcfH6+DBgzp48KAOHTqk6667Tp07d7asDgAA4H+EeAAALORyuSTJ8kvMSdLixYsVGRmpgwcPFgjsBw8eVEpKirm/w+FQcHCwfvjhB3399deW1QEAAPyPEA8AgIV8MRLfqFEjBQUFafz48QoICFD9+vXVsGFDNWzYUO3atTO3GzZsqEaNGql+/fp644039PDDDyslJUWRkZGW1QIAAPyLEA8AgIV8EeKjoqK0a9cuBQYGqn79+goKKv3Xd79+/fTggw9q9erV6t+/v2W1AAAA/2JhOwAALORyueRwOFS9enVL+23atKk5Iu+Jli1bqkWLFlq+fLmldQAAAP8ixAMAYCGn06kaNWooIMD/v2L79u2r5cuXyzAMf5cCAAAs4v+/MAAAOIs4nU5Lp9KXR79+/bR//379/vvv/i4FAABYhBAPAICFXC6XpSvTl0evXr0UGhrKlHoAAM4ihHgAACxUmUbiw8LCdMUVVxDiAQA4ixDiAQCwUGUK8VLeefFr165VcnKyv0sBAAAWIMQDAGAhp9NZaabTS3khPisrS6tXr/Z3KQAAwAKEeAAALORyuSrVSPz555+vli1bMqUeAICzBCEeAAALVbbp9FLeaPyXX37JpeYAADgLEOIBALBIVlaWUlJSKtV0eikvxMfHx2v79u3+LgUAAJQTIR4AAIu4XC5JqnQj8T179lRYWBhT6gEAOAsQ4gEAsIjT6ZRU+UK8+1JzX375pb9LAQAA5USIBwDAIu4QX9mm00t5U+p/+OEHLjUHAIDNEeIBALBIZZ1OL0n9+vVTVlaWvvnmG3+XAgAAyoEQDwCARSrzSHzz5s3VqlUrptQDAGBzhHgAACzidDoVGhqqsLAwf5dSpL59+2r58uVcag4AABsjxAMAYBGXy1Upp9K79evXTwcPHtS2bdv8XQoAACgjQjwAABZxOp2VOsRffvnlCg8PZ0o9AAA2RogHAMAiTqezUp4P7xYaGqorrriC68UDAGBjhHgAACxS2afTS3lT6n/44QedOnXK36UAAIAyIMQDAGCRyj6dXspb3C47O1urVq3ydykAAKAMCPEAAFjEDiG+WbNmat26NVPqAQCwKUI8AAAWcblclfqceLd+/fpxqTkAAGyKEA8AgAUMw7DFSLyUN6X+0KFDiouL83cpAADAS4R4AAAskJycrJycHFuEePel5phSDwCA/RDiAQCwgNPplCRbTKevUqWKrrzySkI8AAA2RIgHAMACLpdLkmwxEi/lTalft26dkpKS/F2K3yQlJalnz5767rvv/F0KAAAeI8QDAGAB90i8nUL8uX6puZkzZ2rt2rWaNGkSi/wBAGyDEA8AgAXsNJ1ekpo2bao2bdqcs1Pqjx07ppdeekndunXTzz//zGg8AMA2CPEAAFjA5XLJ4XCoevXq/i7FY3379j1nLzU3bdo0BQQE6PPPP1eHDh30/PPP+7skAAA8QogHAMACTqdTUVFRCgiwz6/Wvn376vDhw9qyZYu/S6lQ8fHxeuONNzR+/HjVqVNHkyZN0ldffaWNGzf6uzQAAEpln780AACoxNwh3k4uu+wyRUREnHNT6p966ilVrVpVDz30kCTp5ptvVvPmzTVt2jQ/VwYAQOkI8QAAWMDlctlmUTu3c/FSc3/88YfeeecdTZ48WVWrVpUkBQUF6eGHH9bixYu1c+dOP1cIAEDJCPEAAFjA6XTaLsRLUr9+/bRu3TolJib6u5QKMWXKFEVHR+vf//53gcdvv/121atXTy+++KKfKgMAwDOEeAAALGDH6fRS3nnxOTk558Sl5n777TctXLhQU6ZMUVhYWIG20NBQPfTQQ1qwYIEOHjzopwoBACgdIR4AAAvYcTq9JDVu3Fht27Y9J6bUP/744zr//PN1xx13FNl+9913KyIiQjNnzqzYwgAA8AIhHgAAC9h1Or2UN6X+bL/U3Lp167Rs2TI99dRTCg4OLnKfqlWrauzYsZo9e7ZOnDhRwRUCAOAZQjwAABaw63R6KW9K/ZEjR/Tbb7/5uxSfMAxDjz76qDp06KAhQ4aUuO/9998vwzA0a9asCqoOAADvEOIBACinzMxMpaam2nYk/tJLL1VkZORZO6X+66+/1tq1a/Xss88qIKDkP33q1KmjUaNGadasWUpOTq6gCgEA8BwhHgCAcnK5XJJk2xAfEhKiq666Su+9954++ugjHTlyxN8lWcY9Ct+jRw9dd911Hj1n/PjxSk5O1uzZs31cHQAA3iPEAwBQTk6nU5JsO51eyguuOTk5GjJkiM477zy1bNlSI0eO1Lvvvqs9e/bY9nz5Tz/9VBs3btRzzz0nh8Ph0XMaN26soUOH6qWXXtLp06d9XCEAAN4hxAMAUE52H4mX8qbU79q1S4cPH9ZHH32ka6+9Vhs3btSIESPUokULNWzYULfccoveeOMNbd26Vbm5uf4uuVQ5OTl6/PHHdc0116hXr15ePfeRRx7RkSNHtGDBAt8UBwBAGRHiAQAoJ/dIvJ1DvFv9+vV18803a9asWdq8ebNOnjypZcuWaejQodq3b58eeOABtW/fXnXq1NGgQYO0d+9ef5dcrPfff1+///67nn32Wa+fe8EFF2jgwIF68cUXlZOT44PqAAAoG0I8AADldDZMpy9OVFSUrrvuOr3wwgv66aeflJSUpG+++Ub333+/fv31V3Xt2lXff/+9v8ss5PTp05oyZYpuuukmde7cuUx9TJ48Wbt27dLixYstrg4AgLI7q0L84cOH9cILL6hv377q2LGjunbtqn/+8596++23lZ6e7u/yAABnKZfLpbCwMIWGhvq7FJ8LDw9X7969NWXKFG3YsEHt2rXTlVdeqXfeecffpRUwd+5cxcfH6+mnny5zH507d9ZVV12l559/3rZrAgAAzj5nTYhfs2aN+vfvr3nz5mnPnj1KT09XUlKS4uLi9OKLL2rgwIGKj4/3d5kAgLOQ0+k8K6bSe6tWrVpauXKl7rjjDo0YMUITJ06sFFPPU1NT9fTTT2vYsGFq27ZtufqaPHmyNm/erJUrV1pUHQAA5XNWhPgdO3bowQcfVHJyssLDwzVu3DgtXLhQ7777rgYPHixJ2rt3r0aPHq3U1FQ/VwsAONucqyFeyrs83VtvvaVXXnlFL730kgYMGKBTp075taZZs2bJ6XRqypQp5e7riiuuUNeuXfX8889bUBkAAOV3VoT4Z599Vunp6QoKCtK8efN09913KyYmRj169NDTTz+tiRMnSpL27NlT6ab7AQDsbf369VqzZs05G+IlyeFw6IEHHtAXX3yhtWvX6pJLLtG+ffv8UktiYqJeeOEFjR49Ws2aNSt3fw6HQ5MnT9batWv1448/WlAhAADlY/sQv2XLFsXGxkqSBg0apJiYmEL7uC+PI0nz589XVlZWhdYIADi75ObmaunSpbr88svVvXt3ZWRk6IknnvB3WX537bXX6ueff1ZaWpq6dOmiH374ocJrmDFjhk6fPq3HH3/csj779++vtm3bMhoPAKgUbB/iv/nmG3N70KBBRe4TEBCgAQMGSJKSkpLM0A8AgDcyMjI0Z84ctW3bVjfeeKNycnL0ySefaMeOHbryyiv9XV6l0KZNG8XGxurCCy9U79699e6771bIcZOSkvT555/rlVde0QMPPKDo6GjL+g4ICNAjjzyiZcuWKS4uzrJ+AQAoC9uH+A0bNkjKWy33wgsvLHa/Ll26mNsbN270eV0AgLPHyZMn9cwzz6hJkyYaM2aM2rZtq3Xr1mndunUaOHCgAgMD/V1ipVKrVi199dVXuuOOO3TnnXfq4YcftnzBu5MnT2rJkiUaN26cOnXqpJo1a6p///5q2LCheRqdlW655RY1adJE06ZNs7xvAAC8EeTvAspr9+7dkqTGjRsrKKj4l9O8efNCzwEAoCR79uzRyy+/rHnz5ik3N1d33HGHHnroIbVs2dLfpVV67gXvLrzwQj300EP6/fff9X//93+qWrVqmfo7evSo1q5dq7Vr1+q7777T1q1bJUlNmjRRz549dc8996hnz55q0aKFHA6HlS9FkhQcHKyJEyfq/vvv19NPP13g7woAACqSw7DxhU9Pnz6tDh06SJJ69eqlt956q8T9Y2JilJaWpo4dO2rRokVeHSsnJ0ebN2/We++959U59YZhmNeWdW8Xd9/hcCgoKEjBwcGF/l/UdlBQkAzDUG5urnJycpSbm1vsdv7HzryV1Jabm2vWmv81FfX//BwOhwICAuRwOIq85W8r7utU1HZ5/u/pdlkV91pLupX1OGduF/VYZGSkatSooaioKNWoUaPAtvv/ISEhRR4jIyNDTqdTLpdLTqezwLb7/6dOnTK/R9z/Tvm3i7pftWrVIus48//Vq1c3RzZzc3OVnJyspKQknTp1qsD/z3zM26tPFPfvXtL3Q0hIiMLCwhQeHu7R/wMCApSenq60tDTzVtL9jIyMIn9W8v/MnPmYt68hv5K+h/I/5v63LOn/+f+9i+rrzH6LOk55X0dJr6VKlSoFbqGhocXez83N1XvvvafFixcrKipKY8eO1T333KO6det6VA8KWrFihYYMGaLGjRtr1KhRBd4Xiru5v5/27duntWvXaufOnZKkli1b6vLLL1fPnj11+eWXq0mTJhX2OtLT09W0aVPl5OQoOjpa1atXN9+zStquWrWqAgMDzVtQUFCB+2c+HhAQoLS0NKWmpha4paSkFHrMfcvOzpZU8u82T9uKup+fp7+Hyqqk9wpv3j/OVJ7XXFF8UVNpf0uV9nddWb9untRe3L9pSf/mnirub5HiHiuuJm+/D8vSVtJzPP2bODg4WLfffrs6duzI7LBzgK1H4vP/wR4eHl7q/mFhYeYfymW1ceNGZWRklLqfYRiFftiLelM4M8hmZ2crOztbWVlZ5v+L287OzlZAQECBm/uXf1nvn/lYcW+epb3ZeBLo3I958qbt7ZueJ2+gJW17y5M/SIv7ZeHtcc7cLuqx3NxcpaamKjExUYmJicVOYw0LCzODs8PhMAN6cd/jVatWVVRUlGrWrKlq1aoV+j4p6sOb/EHzyJEj2r59u1lXUlJSsa+1WrVqMgxDycnJxe7jcDhUrVo1Va9eXdWqVVN4eLgCAoo+S6i4f19v/wDMysoqELzd/3f/Ae2pwMBAhYeHF7iFhYUpNDRUkkr8+Tlzu6yvraTvoTMfy/9vXdT/i/pgwdM/PPK/X5aFJx/O5ebm6vTp0wVuGRkZ5nZRWrRoof/+97+6/fbbPfodg+K5F7wbPHiwJk+e7NEHnO7tevXqqXfv3po6daouv/xynXfeeX57HWFhYfriiy/0+eefKykpyXwfO3r0qHbs2GF+uFjS+65VqlSpooiICPMWHBxstpX0u82T33uefrBW2ntIWX6uvQ2b3h7Dit8FVirqNZR2vyw8/RurtMBs1eOSdx8oePtBgfvrWtSAUkl/p5SlppJ+Jopr8/T73JsPEMLCwnT77bcX+fXA2cfWIT7/H175f3kVxz3q6EkIL87atWv5dAu2YhiGUlJSzODscrmK3M7NzVXNmjXNkJ5/OyoqSlFRUR79nHkjJydHp06dMuvI/3+Xy6WAgAAzpLuDev7/R0REFBvaK1pWVpbS09MLhfvc3NwCId29bfXXEmXn/nAmf6jPyspS48aNeb+3UJs2bc6KReE6d+6szp07l7iPYRhKS0szA31KSopycnKUk5Oj7Oxsc7ukx8LDwwuE9MjIyAL3SzqFEMC5xz1rGOcGW/8GqFKlirntyRT3zMxMSTJHuoBzgcPhUNWqVVW1alU1atTI3+UUEBgYaH5AYHfuU12qVavm71LgJYfDoZCQkGJPLwG85XA4zLDtz5kDAICzU+UYwiqjiIgIc9uTKfLp6emSPJt6DwAAAABAZWPrEF+lShVzBO/o0aMl7puUlGQGfSuvHQsAAAAAQEWxdYiX8hYekqQDBw6UuLDUnj17Cj0HAAAAAAA7sX2I79Spk6S86fTbtm0rdr9ffvnF3L744ot9XhcAAAAAAFazfYi/6qqrzO3FixcXuU9ubq6WLFkiKe+yVd26dauI0gAAAAAAsJTtQ3yHDh3MS70sXrxYmzZtKrTPvHnztHv3bknS8OHDubQTAAAAAMCWbH2JObfHHntMt9xyizIyMjRixAjdfffd6tatmzIyMvTll19q0aJFkqSmTZvqzjvvLNMxDMOQlHcNRgAAAACoLNwZxZ1ZcHZzGGfJv/Tq1as1ceJEpaSkFNnetGlTzZ49W02aNClT/5mZmYqLiytPiQAAAADgM+3bt1dISIi/y4CPnTUhXpIOHTqk+fPna82aNUpISFBwcLAaN26sa6+9VkOHDlVYWFiZ+87NzVV2drYCAgLkcDgsrBoAAAAAys4wDOXm5iooKEgBAbY/YxqlOKtCPAAAAAAAZzM+pgEAAAAAwCYI8QAAAAAA2AQhHgAAAAAAmyDEAwAAAABgE4R4AAAAAABsghAPAAAAAIBNEOIBAAAAALAJQjwAAAAAADZBiAcAAAAAwCYI8QAAAAAA2AQhHgAAAAAAmwjydwF2kZubq+zsbAUEBMjhcPi7HAAAAACQJBmGodzcXAUFBSkggHHasx0h3kPZ2dmKi4vzdxkAAAAAUKT27dsrJCTE32XAxwjxHnJ/otW+fXsFBgb6uRoAAAAAyJOTk6O4uDhG4c8RhHgPuafQBwYGEuIBAAAAVDqc9ntu4KMaAAAAAABsghAPAAAAAIBNEOIBAAAAALAJQjwAAKjUUnNyFP3tZkV/u1mpOTn+LgcAAL8ixAMAAAAAYBOEeAAAAAAAbIIQDwAAAACATRDiAQAAAACwCUI8AAAAAAA2QYgHAAAAAMAmCPEAAAAAANhEkL8LAAAAKElEYKCOXtHR32UAAFApMBIPAAAAAIBNEOIBAAAAALAJQjwAAAAAADZBiAcAAAAAwCYI8QAAAAAA2AQhHgAAAAAAmyDEAwAAAABgE4R4AAAAAABsghAPAAAAAIBNEOIBAAAAALAJQjwAAAAAADYR5O8CAFROOTlpWvNde/N+r55xCgwM93stvXrGSVKB+/6qC/DEmd+/Zfl+LelnwI2fBe9Z8W8DAEBFYyQeAAAAAACbIMQDAAAAAGAThHgAAAAAAGyCEA8AAAAAgE0Q4gEAAAAAsAlCPAAAAAAANkGIBwAAAADAJhyGYRj+LsIOcnJytHnzZnXs2FGBgYH+LgcAAAAAJJFVzjWMxAMAAAAAYBOEeAAAAAAAbIIQDwAAAACATRDiAQAAAACwCUI8AAAAAAA2QYgHAAAAAMAmCPEAAAAAANgEIR4AAAAAAJsgxAMAAAAAYBOEeAAAAAAAbIIQDwAAAACATRDiAQAAAACwiSB/FwAAwNksMzNTzz33nCTp0UcfVUhISJGPlbR/UY9L8qqP/I+5nfk8AABQ+TESDwAAAACATRDiAQAAAACwCUI8AAAAAAA2QYgHAAAAAMAmCPEAAAAAANgEIR4AAAAAAJsgxAMAAAAAYBMOwzAMfxdhBzk5Odq8ebM6duyowMBAf5cDAAAAAJLIKucaRuIBAAAAALAJQjwAAAAAADZBiAcAAAAAwCYI8QAAAAAA2AQhHgAAAAAAmyDEAwAAAABgE4R4AAAAAABsghAPAAAAAIBNEOIBAAAAALAJQjwAAAAAADZBiAcAAAAAwCaC/F0AAADnitzMHB1+8kdJ0nlP/UMBIYF+rujslv/r7Rb9eDcdfWZ9mbb5NwMAVAaMxAMAAAAAYBOEeAAAAAAAbIIQDwAAAACATRDiAQAAAACwCUI8AAAAAAA2QYgHAAAAAMAmCPEAAAAAANiEwzAMw99F2EFOTo42b96sjh07KjCQa8QCAAAAqBzIKucWRuIBAAAAALAJQjwAAAAAADZBiAcAAAAAwCYI8QAAAAAA2AQhHgAAAAAAmyDEAwAAAABgE0H+LsATrVu39mi/rl27asGCBT6uBgAAAAAA/2AkHgAAAAAAm7DFSLzbLbfcoltvvbXY9rCwsAqsBgAAAACAimWrEF+rVi21atXK32UAAAAAAOAXTKcHAAAAAMAmCPEAAFSQrIwMzRxyvWYOuV5ZGRlet5e1X2+eV9a+4L2Svtb8OwAAikOIBwAAAADAJmx1TvyKFSu0bNkyHTlyRIGBgapTp45iYmI0cOBAde/e3d/lAQAAAADgU7YK8X/++WeB+/v379f+/fu1ZMkSXXXVVZo2bZqqVq3qp+oAAAAAAPAtW4T4sLAw9e7dWz169FCzZs0UEREhp9Op2NhYLVy4UImJiVq1apXuuecezZs3T8HBwf4uGQAAAAAAy9kixK9du1bVqlUr9Pgll1yiYcOGadSoUdq+fbtiY2P14Ycfavjw4X6oEgAAAAAA37LFwnZFBXi32rVr67XXXjNH399///2KKgsAAAAAgAplixBfmkaNGumSSy6RlHeefEJCgp8rAgAAAADAeg7DMAx/F2GFF198UW+//bYk6eOPP1aHDh0s7T8nJ0ebN29Wx44dFRgYaGnfAAAAAFBWZJVzy1kxEi9JZ8lnEQAAAAAAFOusCfG7d+82t+vVq+fHSgAAAAAA8I2zIsTHx8frxx9/lJR3fjwhHgAAAABwNqr0IX716tXKzs4utv3EiRO6//77lZWVJUm67bbbKqo0AAAAAAAqVKW/TvwzzzyjrKws9enTRx07dlSDBg0UGhoql8ul9evXa+HChUpMTJQkderUiRAPAAAAADhrVfoQL0nHjh3TggULtGDBgmL36dOnj5555hmFhIRUYGUAAAAAAFScSh/ip02bptjYWG3evFnx8fFKTExUSkqKwsPDFR0drZiYGA0cOFAxMTH+LhUAAAAAAJ+q9CG+a9eu6tq1q7/LAAAAAADA7yr9wnYAAAAAACAPIR4AAAAAAJsgxAMAAAAAYBOEeAAAAAAAbKLSL2wH72SdztHsB76TJN354qV65+EfJEmjX+2p4CqBBdrdjwHwneJ+Jt2K+jnFuefM92ZJlr5Xl/e9v7TfLWcLfkcCAOyAkXgAAAAAAGyCEA8AAAAAgE0Q4gEAAAAAsAlCPAAAAAAANkGIBwAAAADAJgjxAAAAAADYBCEeAAAAAACbcBiGYfi7CDvIycnR5s2b1bFjRwUGct1YAAAAAJUDWeXcwkg8AAAAAAA2QYgHAAAAAMAmCPEAAAAAANgEIR4AAAAAAJsgxAMAAAAAYBOEeAAAAAAAbIIQDwAAAACATRDiAQAAAACwCUI8AAAAAAA2QYgHAAAAAMAmCPEAAAAAANgEIR4AAD/KPnlSv1/QRr9f0EYZu3aZ2+5b9smTXveTffJkoftlqefM5xVXqzf9AwCA8iHEAwAAAABgE4R4AAAAAABsghAPAAAAAIBNEOIBAAAAALAJQjwAAAAAADZBiAcAAAAAwCYI8QAAAAAA2ITDMAzD30XYQU5OjjZv3qyOHTsqMDDQ3+UAAAAAgCSyyrmGkXgAAAAAAGyCEA8AAAAAgE0Q4gEAAAAAsAlCPAAAAAAANkGIBwAAAADAJgjxAAAAAADYBCEeAAAAAACbIMQDAAAAAGAThHgAAAAAAGyCEA8AAAAAgE0Q4gEAAAAAsAlCPAAAAAAANhHk7wIAAID9pWWlqdv/dZMkrb91vSQVuB8eHO632srjzNeV/3Xkb8vPzq8XAFD5MRIPAAAAAIBNEOIBAAAAALAJQjwAAAAAADZBiAcAAAAAwCYI8QAAAAAA2AQhHgAAAAAAmyDEAwAAAABgEw7DMAx/F2EHOTk52rx5szp27KjAwEB/lwMAAAAAksgq5xpG4gEAAAAAsAlCPAAAAAAANkGIBwAAAADAJgjxAAAAAADYBCEeAAAAAACbIMQDAAAAAGAThHgAAAAAAGyCEA8AAAAAgE0Q4gEAAAAAsAlCPAAAAAAANkGIBwAAAADAJgjxAABUtMxUaWr1vFtmqr+rKejM2spTq5V9WaGo45dUU1nbAADwIUI8AAAAAAA2QYgHAAAAAMAmCPEAAAAAANgEIR4AAAAAAJsgxAMAAAAAYBOEeAAAAAAAbIIQDwAAAACATTgMwzD8XYQd5OTkaPPmzerYsaMCAwP9XQ4AAAAASCKrnGsYiQcAAAAAwCYI8QAAAAAA2AQhHgAAAAAAmyDEAwAAAABgE4R4AAAAAABsghAPAAAAAIBNBPm7AG8dPnxYCxYs0Jo1a3TkyBGFhISocePG6tu3r2699VaFhYX5u0QAAAAAAHzCViF+zZo1mjBhgpKTk83H0tPTFRcXp7i4OH388ceaM2eOGjVq5McqAQAAAADwDdtMp9+xY4cefPBBJScnKzw8XOPGjdPChQv17rvvavDgwZKkvXv3avTo0UpNTfVztQAAAAAAWM82I/HPPvus0tPTFRQUpHnz5ikmJsZs69Gjh5o0aaLp06drz549eueddzR27Fg/VgsAAAAAgPVsMRK/ZcsWxcbGSpIGDRpUIMC7jRgxQi1atJAkzZ8/X1lZWRVaIwAAAAAAvmaLEP/NN9+Y24MGDSpyn4CAAA0YMECSlJSUZIZ+AAAAAADOFrYI8Rs2bJAkhYeH68ILLyx2vy5dupjbGzdu9HldAIBzV1pmtppO+kJNJ32htMxsr/bNf/9ESobHbVbX6c1r8KZ/K/r1BU/qqqy1AwDgZosQv3v3bklS48aNFRRU/Gn8zZs3L/QcAAAAAADOFpU+xJ8+fVoul0uSFB0dXeK+1atXV3h4uCTp6NGjPq8NAAAAAICKVOlDfP7LxbkDeknCwsIkSWlpaT6rCQAAAAAAf6j0If706dPmdnBwcKn7h4SESJIyMjJ8VhMAAAAAAP5Q6UN8lSpVzG1PLhuXmZkpSQoNDfVZTQAAAAAA+EOlD/ERERHmtidT5NPT0yV5NvUeAAAAAAA7qfQhvkqVKoqKipJU+mJ1SUlJZtAvbRE8AAAAAADsxmEYhuHvIkpz2223acOGDQoPD9cvv/xS7GXmNm3apH/961+SpHvvvVf333+/ZTXk5ORo8+bN6tixowIDAy3rFwAAAADKg6xybqn0I/GS1KlTJ0l50+m3bdtW7H6//PKLuX3xxRf7vC4AAAAAACqSLUL8VVddZW4vXry4yH1yc3O1ZMkSSVK1atXUrVu3iigNAAAAAIAKY4sQ36FDB3Xu3FlSXojftGlToX3mzZun3bt3S5KGDx/u0eXoAAAAAACwk6JPLq+EHnvsMd1yyy3KyMjQiBEjdPfdd6tbt27KyMjQl19+qUWLFkmSmjZtqjvvvNPy47uXDsjJybG8bwAAAAAoK3dGscFyZ7CALRa2c1u9erUmTpyolJSUItubNm2q2bNnq0mTJpYfOzMzU3FxcZb3CwAAAABWaN++vUJCQvxdBnzMViFekg4dOqT58+drzZo1SkhIUHBwsBo3bqxrr71WQ4cOVVhYmE+Om5ubq+zsbAUEBMjhcPjkGAAAAADgLcMwlJubq6CgIAUE2OKMaZSD7UI8AAAAAADnKj6mAQAAAADAJgjxAAAAAADYBCEeAAAAAACbIMQDAAAAAGAThHgAAAAAAGyCEA8AAAAAgE0Q4gEAAAAAsAlCPAAAAAAANkGIBwAAAADAJgjxAAAAAADYBCEeAAAAAACbIMQDAAAAAGAThHgAAAAAAGyCEA8AAAAAgE0Q4gEAAAAAsIkgfxdwpmPHjqlfv35KTk6WJHXt2lULFiwo9Xkul0sLFizQqlWrdOjQIRmGoYYNG+qqq67SsGHDFBUV5evSAQAAAADwqUoX4p955hkzwHtqy5Ytuueee3T8+PECj+/cuVM7d+7Uxx9/rDfeeEPt27e3slQAAAAAACpUpZpOv3r1aq1cuVK1atXy+DkJCQn697//rePHjysoKEh33XWXPvjgA33wwQe66667FBQUpGPHjunuu+9WQkKCD6sHAAAAAMC3Kk2IT01N1VNPPSVJevjhhz1+3ssvv6wTJ05IkmbMmKGJEyeqc+fO6ty5syZOnKgZM2ZIkk6cOKFXXnnF8roBAAAAAKgolSbEv/zyyzpy5Ii6deumAQMGePScEydOaOnSpZKkSy+9VH379i20T9++fXXppZdKkj777DMz8AMAAAAAYDdlCvHLli1T69at1bp1az355JPF7nf48GF17txZrVu3Vp8+fZSWllbkflu2bNEHH3yg4OBgTZ061eM6Vq9erZycHEnSoEGDit3vpptukiTl5ORo9erVHvcPAAAAAEBlUqYQf/311+uGG26QJC1atEirVq0qtE9ubq4eeeQRJScnKygoSNOnT1d4eHih/bKzs/XEE08oNzdXo0aNUvPmzT2uY8OGDeZ2ly5dit0vf9vGjRs97h8AAAAAgMqkzNPpp06dqgYNGkiSHn/88UIrw8+dO1exsbGSpLFjx6pDhw5F9jNv3jzt2LFDjRs31t133+1VDbt375YkVa1aVXXq1Cl2v7p16yoyMrLAcwAAAAAAsJsyh/jIyEi9+OKLCgwMlMvl0uTJk2UYhiRp+/bteu211yRJnTp10ujRo4vsIz4+Xq+//rokacqUKapSpYpXNRw9elSSFB0dXeq+9evXL/AcAAAAAADsplwL23Xu3NkM6N9//73ef/99ZWRkaMKECcrKyioQ9Ivy5JNPKiMjQ/369TMXn/NGamqqJBU5Tf9MYWFhBZ4DAAAAAIDdBJW3g7Fjx2rdunXasmWLpk+frp9//tmcsv7kk0+qYcOGRT5vyZIl+vHHHxUZGanJkyeX6dinT5+WJAUHB5e6b0hISIHnlEWvXr303Xfflfn5AAAAAOAL7lnRlVlAgGdjyLm5uT6uxN7KHeKDgoI0Y8YMDRgwQGlpaeYid9ddd51uvPHGIp/jdDo1bdo0SdK4ceNUt27dMh27SpUqSk9PV1ZWVqn7ZmZmms8pq++++07vv/++2rRpU+Y+7ColI0OSFBka6udK4C+33/6guf3ee6/4rY5OnTqZ2+6FKjt37mw+ln/BS8CfDjqdkqSGNWsWaivq+7go7v0iIqqbj61du7pQH7Vr531gvnLlZ5KkX/ftM9ta1qsnSeqVb8bbZ19/LUm68eqrzceu7TdCkvTs0/eaj731f3mXcR1za39J0tGkJLMtunpeTQ888Lz52DPTHpQkfbMpznzs49fflSR98MEbxb5OT1133d9Xovnii8VePdf99SrPArdW9FGU++9/VpL02muPFWq7775nJEmzZj1u6TEB2N/vv/+uoUOH2iqfOBwOf5dwVih3iJekJk2aaNSoUXr11VclSVFRUSVeKm7atGlyuVxq166dbr311jIfNyIiQunp6cVeui6/9PR08znl0aZNG1188cXl6sOOTv319av212kJOPdERNQwtyvLz4C7jvy/ECpLbUCNY8ckSc1L+aDak+/ZwMC/f10XtX9wcJUCbSn5ftd1aFR4Rly7IhabrVkrulD/9b/fUuCx+L8+mJCkRn99OFG9+t8Ly14U01GS9GdKhvlYeHi1Yuv2VkjI37+DytqfFXVY/T7j/hoW1W/16rV9ckwAZw875ROHo1xnc+MvloT41NRUffLJJ+b9xMREbdu2TT169Ci0b0JCgj77LG+koHv37lq+fHmJfZ88eVJffPGFJKlhw4a66KKLzLZ69erpxIkTHi1Wd+TIEUmeLYIHAAAAALAaI/FWsCTEP/PMM4qPj5eUN9KdmpqqSZMmaenSpapevXqBffNPfZ87d26pfe/evVsPPfSQJGngwIEFQvz555+vbdu2KTk5WcePHy/2MnPHjh1TSkqKJKlFixbevTgAAAAAQLl5ek48SlbuEL9y5UpzFP6mm25S3759NWrUKB09elRTpkzRK6+8Ut5DFKtTp07mqP4vv/yifv36FbnfL7/8Ym7bZaqJr32wbp0k6bZLLjEfcy+GUdS5KkyjR5dePf1dgiRp55HDhR67f/JLfqik/PL/rLl//uavWWs+NrzX5RVe09nu5z//lCR1P/98nx+rxV/nohe10NBby1YWeuzRabMlSc9PHmM+VtIiRau2bjW3P5q9tEDbik//XoQ19ryahfqqVq2WJGn5b7+Zjz0y7MFCx8hMz1tPJisnW5I05PoRZttPP31WqF/393T+x564M+/17PhrRtwXq34028YP+/scd0/s37/dq/3zc9c08anXzcemP3lvgX1efOcjc/uREUMKPO/M7TMV9do9lf90iTNVqVK+0wABoDJhOr01yhXiExIS9OSTT0qSGjVqpMcee0yRkZHmAgvLly9Xr169NGDAAPM5DRs21M6dO0vtu3Xr1pKkrl27asGCBUXu07t3b02dOlW5ublavHhxsSHe/SFDQECAevfu7c1LBAAAAABYgIXtrFHmj0IMw9DkyZOVmJiowMBATZ8+XZGRkZKkiRMn6vy/RjmefvppHTp0yJpqz1CnTh3dcMMNkqQffvhBK1asKLTP8uXL9cMPP0iSbrzxxmKn3AMAAAAAfCcgIMCjG0pW5q/Qe++9p3V/TckeM2aMYmJizLbQ0FBNnz5dwcHBSklJ0cMPP+yza/2NGzdONf9aIXf8+PGaMWOGNmzYoA0bNmjGjBmaMGGCJKlmzZp68MEHfVIDAAAAAKBkDofDoxtKVqbp9Dt37tTMmTMlSR06dNC9995baJ+2bdvq/vvv18yZM7VhwwbNmTNHY8aMKbRfedWvX19vvvmm7r33Xh0/flxz5szRnDlzCuxTp04dvf766+f8yvR7jx83t3OzC3+osuC77yVxHi6KdsNt1/i7BElSq+j6hR4bPupGP1RSdo88+z9J0ryvVxdqS3YmV3Q555Q2551X5ufWrdtYknTs2AGP9i/q3OhN+/dJkkZf9/fPU2BgoCSZH3bnf969E6ZLkj6cN9N8zOnMuyLLlRde+Pdjt6UWOE6tBrXM7f8+MVWSNGH4P83HOne+VpJ0+Ojfvxfe/H9vFaq3dbe8U9ucKXn9T3/3RbOtXcP/kyS1atXZfGz2F18V6uPnuPWSpOU/bZAkjb3FPz+vF198tSRp06ZV5mNnnhPvPg9eki64oHuhPk5n560NUCXo7z+fcv76d4vdvbvMtc19/7li257974Ri24be8fe1499/95kyHx8AKg6j7Fbw+quYmZmpCRMmKDMzU+Hh4Zo+fbqCgor+LOCuu+5S165dJUmzZs3S1nyL8Fjpoosu0tKlS/Xvf/9brVq1Unh4uMLDw9WqVSv9+9//1ueff15gVXsAAAAAQMViJN4aXo/Eh4SE6PPPP/do34CAgGIXpSuNJ4vf5eeeLs+UeQAAAACofDjf3RqWXCceAAAAAICSMMpuDUI8AAAAAMDnuE68NRxGUSvvoEgOh0MbN27UxRdf7O9SfOLZNz+QJD12921+rgQ4u2VkZUmSQoODC7VN+M9/ze0ZU8ZWWE2oGOOnzJIkzfzPfRV2TPeveStGP1585yNz++E7B5epjxVbtpjb13boUO6arOReuE4quHgdAFRGv/76qzp16mSrfBIVVc+j/VyuBB9XYm/8hgIAAAAA+Bwj8dYgxAMAAAAAfI4Qbw1CPAAAAADA51jYzhqEeAAAAACAzxHirUGIP4e8s+pbc/vOq64o1H730BsrshzgnPXKe4slSZPu+lehtusHX1nR5aCM3AsUSkUvUliUilzQzq08fzCduSheWRezy6+yLWaXX1GL2T3w6Mvm9qvPjSvUnpiWKkmqER7hu8IA4CzBdeKtQYgHAAAAAPgc58RbgxAPAAAAAPA5ptNbgxAPAAAAAPA5RuKtQYgHAAAAAPgcId4ahPhzSJ9OHUtsrxYWWjGFAOe4CXfeXGxbrzZtKrASeOOruDhJ0jXt20vyfDG7X/bsMbe7NG9e7jo27d8nSYpp0rTYfVbGbTG3+7Qv+0JyVk57nPXx55Kkqy7pZD7W5rzzLOvfV4pazC6/01nZFVQJANgf0+mtQYgHAAAAAPgcId4ahHgAAAAAgM9xiTlrEOIBAAAAAD7HOfHWIMQDAAAAAHzOIabTW4EQfw45LyqqxPbgQL4dgIoQFBjo7xJQBu4F7bx1MiWlxPb1u3dLkrq1aOFRf01q1yl1n/IsZucrI/pfI0mKqFKlzH2s2rrV3L6qXbty12SFtMxMf5cAAPbBOfGWILUBAAAAAHyOc+KtQYgHAAAAAPgc58RbgxAPAAAAAPA5LjFnDUI8AAAAAMDnCPHW8FuIj4uL0y+//KK4uDj9+eefcrlcSkxMVHBwsOrWrauOHTtq4MCB6t69e4n9nDp1SnFxcdqyZYv5/+PHj0uSunbtqgULFlTEywEAoEjXdvh7kblLLhkoSVq37lPzsaS0NK/6S0xNlSTVjIiwoLqKU54F7dwqy2J2+TWrU/pCgwCAPAEOFve1gt9C/HPPPadff/210ONZWVnat2+f9u3bpyVLlujaa6/Viy++qCrF/PIfMGCADh065OtyAQAAAADlwUi8JfwW4kNCQtS1a1fFxMSoefPmqlOnjmrUqCGn06kdO3Zo4cKFOnjwoFasWKGAgAC9/PLLpfZZu3ZttW/fXt9++20FvAIAAAAAgKeYTm8Nv4X4t99+W0FBRR/+sssu07Bhw3THHXdo06ZN+vLLL3X33XerdevWhfa97bbb1LBhQ7Vv317nnXeeJBW5HwAAAADAfwjx1vBbiC8uwLuFhoZq+PDh2rRpkyRpw4YNRYbzkSNH+qQ+AAAAAIB1AgI4J94KZQrxy5Yt0/jx4yVJQ4YM0VNPPVXkfocPH1b//v2VnJyspk2b6tNPP1V4eLjHxwkLCzO3T58+XZZSgUJOpaeb29XyfY+VlWEYkvhkEUDRDrmc5nb+Be3crmnf3qv+mtetW+6aAADwB/5etkZAWZ50/fXX64YbbpAkLVq0SKtWrSq0T25urh555BElJycrKChI06dP9yrAS3kfFrg1b968LKUCAAAAACoBh8Ph0Q0lK/N0+qlTp+rXX3/VoUOH9Pjjj+uiiy5SnXyXWZk7d65iY2MlSWPHjlWHfJfYKU5ubq6cTqd27dql999/3/xwoFmzZrr00kvLWioAAAAAwM8cleQSc4cPH9aCBQu0Zs0aHTlyRCEhIWrcuLH69u2rW2+9tcCMcKscO3ZM/fr1U3JysqTyXQ69zCE+MjJSL774ooYPHy6Xy6XJkydrzpw5cjgc2r59u1577TVJUqdOnTR69OgS++rdu3exl4lr0KCBZs2aVeo59AAAAACAyqsyjLKvWbNGEyZMMMO0JKWnpysuLk5xcXH6+OOPNWfOHDVq1MjS4z7zzDMFjlkeZZpO79a5c2czoH///fd6//33lZGRoQkTJigrK8sM+oGB3n/iEhQUpPvvv19Lly5Vy5Yty1MmAAAAAMDP/D2dfseOHXrwwQeVnJys8PBwjRs3TgsXLtS7776rwYMHS5L27t2r0aNHKzU11bLjrl69WitXrlStWrUs6a/cw9tjx47VunXrtGXLFk2fPl0///yzdu/eLUl68skn1bBhw1L7ePvtt5WVlaXc3FwlJibq119/1Ycffqj//e9/2r9/v6ZMmaKIiIjylnrOS8vMNLfDQ0L8WIl/WbGYXX6V4RNFAJVXg6ia/i4BQDls3r/f3O7YpIkfKwHsz99/Nz/77LNKT09XUFCQ5s2bp5iYGLOtR48eatKkiaZPn649e/bonXfe0dixY8t9zNTUVHMh+IcffliPPPJIufss10i8lDdiPmPGDIWHh+v06dPmeezXXXedbrzxRo/6aNasmVq1aqULLrhA3bt31z333KNly5bpggsu0GeffaZbbrlFKSkp5S0VAAAAAOAnAQGBHt18YcuWLeaabYMGDSoQ4N1GjBihFi1aSJLmz5+vrKysch/35Zdf1pEjR9StWzcNGDCg3P1JFoR4SWrSpIlGjRpl3o+KitLUqVPL1Wf16tX1wgsvSJJ27typ2bNnl6s/AAAAAID/+HM6/TfffGNuDxo0qMh9AgICzKCdlJRkhv6y2rJliz744AMFBweXOx/nZ0mIT01N1SeffGLeT0xM1LZt28rdb4sWLdS0aVNJ0sqVK8vdHwAAAADAPxwe/ucLGzZskCSFh4frwgsvLHa/Ll26mNsbN24s8/Gys7P1xBNPKDc3V6NGjbL0kumWhPhnnnlG8fHxkqSIiAgZhqFJkyYpKSmp3H1HRUVJUrGr1wMAAAAAbMDh8OzmA+512xo3blzilc/yh233c8pi3rx52rFjhxo3bqy77767zP0UpdwL261cudIchb/pppvUt29fjRo1SkePHtWUKVP0yiuvlKv/Y8eOSVKlX9jui82bJUnXdezo1zpKci4vZleZpJ4+LUmKqFLFz5UAAM42u44eNbdbRkf7sZKzB4vZAdbx9Hz3d955R++8847X/d9555268847Cz1++vRpuVwuSVJ0Ke+N1atXV3h4uNLS0nQ033uqN+Lj4/X6669LkqZMmaIqFv/dX64Qn5CQoCeffFKS1KhRIz322GOKjIzU0KFD9f7772v58uXq1atXmU/g37JlizkC36pVq/KUCgAAAADwI0/Pd09JSVFCQoLX/Re3GHr+y8WFh4eX2k9YWJjS0tKUlpbmdQ1S3lXaMjIy1K9fP1166aVl6qMkZQ7xhmFo8uTJSkxMVGBgoKZPn67IyEhJ0sSJE/Xzzz/rzz//1NNPP60uXbqoQYMG5nO3bNmiwMDAEs9FSEhI0KRJk8z7/fv3L2upAAAAAAA/8zTER0ZGql69el73786jZzr910xYSQoODi61n5C/ZjBnZGR4XcOSJUv0448/KjIyUpMnT/b6+Z4oc4h/7733tG7dOknSmDFjCizRHxoaqunTp2vw4MFKSUnRww8/rAULFiggIO8U/D///FOTJ09WTEyMevfurQsuuEA1a+ZdRzchIUHr16/XJ598ouTkZEnSP/7xj2JXEPz999/1+++/F9l2/PjxAgvuSVKfPn0q/dR8AAAAADjbeBrii5sWX1b5p7N7ctm4zMxMSXm51htOp1PTpk2TJI0bN05169b16vmeKlOI37lzp2bOnClJ6tChg+69995C+7Rt21b333+/Zs6cqQ0bNmjOnDkaM2ZMgX02bdqkTZs2lXism266SU8++aT5AcCZVq1apf/+979Ftu3du7fQpx9du3YlxAMAAABABXM4fHMN+NLkz3+eTJFPT0+X5NnU+/ymTZsml8uldu3a6dZbb/WuSC94HeIzMzM1YcIEZWZmKjw8XNOnTy92db+77rpL33//vWJjYzVr1ixdcsklateunfr166e6devq559/1qZNm5SQkKCTJ08qKytLkZGRatq0qWJiYnTjjTfqggsuKPeLrAiRXn5Kg3OXpwvavfLhp5KkB28Z6MtyYAN/HD1ibreKru/HSlCcnNxcSdLSX381HxvYubO/yjknJab9fb5jjXDPPqx3P8fT/d3S/hqhkSrforHlWcwuKydbkhQcWO51jy3nfh/0x3vgmAeeN7ffetU3U2OBc4WvrgFfmipVqigqKkoul6vUxeqSkpLMoF/aInj5JSQk6LPPPpMkde/eXcuXLy9x/5MnT+qLL76QJDVs2FAXXXSRx8fy+l06JCREn3/+uUf7BgQEaMGCBYUeDw0N1aWXXmrJSf733Xef7rvvvnL3AwAAAADwHX+FeElq0aKFNmzYoAMHDig7O7vYgeg9e/YUeI6n8k/Tnzt3bqn77969Ww899JAkaeDAgV6FeEuuEw8AAAAAQEkCAgI9uvlCp06dJOVNp9+2bVux+/3yyy/m9sUXX+yTWsqr8s2XAgAAAACcdfw5En/VVVfprbfekiQtXry4yJHv3NxcLVmyRJJUrVo1devWzeP+GzZsqJ07d5a6X+vWrSXlrdVW1Kx1TzASDwAAAADwOYfD4dHNFzp06KDOf61Xs3jx4iIXWJ83b552794tSRo+fHihy9F98sknat26tVq3bq1Zs2b5pE5PMBJvkZ42WYAP9sGCdnBjMbvKL/CvK6iwmJ3/eLs4XVmfI1W+xeysUhkXtHPz5/sgi9kB1vHnSLwkPfbYY7rllluUkZGhESNG6O6771a3bt2UkZGhL7/8UosWLZIkNW3a1NJL3Fmt8r5bAwAAAADOGv66xJxb27Zt9fLLL2vixIlKSUnRSy+9VGifpk2bavbs2YqMjPRDhZ4hxAMAAAAAfM7fI/GS1Lt3by1dulTz58/XmjVrlJCQoODgYDVu3FjXXnuthg4dqrCwMH+XWSKHYRiGv4uwC4fDoY0bN1baVQoBAAAAnBt+/fVXderUyVb55JprPJui/tVX7/i4EntjJB4AAAAA4HOVYST+bECIBwAAAAD4nK+uAX+uIcQDAAAAAHyOkXhrEOIBAAAAABWAEG8FQjwAAAAAwOcYibcGId5Lv//+e4H7UVFRatasmTIyMrR9+/ZC+7tXity5c6dSU1MLtDVt2lQ1a9bU8ePHFR8fX6CtatWqatmypXJycvTbb78V6rd9+/YKDg7W7t27lZSUVKCtQYMGqlevnlwul/bu3VugLSwsTG3atJEkbdq0SWdenKBNmzYKCwvT/v37dfLkyQJt9erVU4MGDZScnKxdu3YVaAsODlb79u0lSXFxccrKyirQ3rJlS1WtWlWHDh1SQkJCgbZatWqpSZMmSk9PL/T1dTgciomJkZT3tU9PTy/Q3qxZM0VFRSkhIUGHDh0q0Fa9enW1aNFCWVlZiouL05kuuugiBQYGateuXUpOTi7Q1qhRI9WpU0dOp1P79u0r0BYREaHWrVtLylsV9Ext27ZVaGio9u7dK5fLVaCtfv36ql+/vk6dOqU///yzQFuVKlV04YUXSpK2bNmi7OzsAu2tWrVSZGSkDh48qGPHjhVoq127tho3bqy0tDTt2LGjQFtAQIA6duwoSdq+fbsyMjIKtDdv3lw1atTQ0aNHdfjw4QJtNWrUUPPmzZWZmamtW7cWeq0dO3ZUQECA/vjjD6WkpBRoa9y4sWrXrq0TJ07owIEDBdoiIyPVqlUr5ebmavPmzYX6bdeunUJCQrRnzx4lJiYWaDvvvPMUHR2txMRE7dmzp0BbaGio2rZtK0navHmzcnNzC7RfcMEFCg8P14EDB3TixIkCbXXr1lXDhg2VkpKiP/74o0BbUFCQOnToIEnatm2bTp8+XaD9/PPPV7Vq1XTkyBEdOXKkQBvvEXl4j/gb7xF5eI/Iw3tEHt4j/sZ7RB7eI/KU9B6R//t9586d5vdVZcY58RYx4DFJhW633XabYRiGsWvXriLb3bp3716obcGCBYZhGMZ///vfQm3XXHONYRiGkZSUVGS/x44dMwzDMG644YZCbTNnzjQMwzA++uijQm0xMTFmTSEhIYXat27dahiGYYwcObJQ26RJkwzDMIxvv/22UFuDBg3Mfhs0aFCo/dtvvzUMwzAmTZpUqG3kyJGGYRjG1q1bC7WFhISY/cbExBRq/+ijjwzDMIyZM2cWarvhhhsMwzCMY8eOFfk1TEpKMgzDMK655ppCbf/9738NwzCMBQsWFGrr3r17id8Tu3btMgzDMG677bZCbVOmTDEMwzBWrFhRqK1FixZmv7Vr1y7U/uOPPxqGYRjjxo0r1HbPPfcYhmEYGzduLNRWtWpVs9+2bdsWav/ss88MwzCM5557rlDbP//5T8MwDCM+Pr7I15qRkWEYhmH07NmzUNucOXMMwzCMOXPmFGrr2bOnYRiGkZGRUWS/8fHxhmEYxj//+c9Cbc8995xhGIbx2WefFWpr27at+VqrVq1aqH3jxo2GYRjGPffcU6ht3LhxhmEYxo8//liorXbt2ma/LVq0KNS+YsUKwzAMY8qUKYXaeI/gPeLMG+8RvEfkv/EewXvEmTfeI3iPyH8r7T3CXVf+76vK7IYb7vXohpJxnXgvOBwOvf/+++Yn0BKfoLvxCfrf+AQ9D5+g5+E9Ig/vEX/jPSIP7xF5eI/Iw3vE33iPyMN7RJ7SRuKHDh2qjRs3Fvi+qsxuvPE+j/b77LNZPq7E3gjxXnA4HNq4caP5CxUAAAAA/OHXX39Vp06dbJVPBgx4wKP9lix51ceV2BvnxAMAAAAAfM7hCPB3CWcFQjwAAAAAwOdYnd4ahHgAAAAAgM85AgjxViDEAwAAAAB8LiCA6fRWIMQDAAAAAHyO6fTWIMQDAAAAAHyOEG8NQjwAAAAAwOdYnN4afgvxKSkp+u677/TTTz9p27Ztio+PV0ZGhiIjI9WyZUv16tVLN998s6pVq1ZiP3v27NHatWsVGxurHTt26MSJE3I4HKpVq5Y6dOigAQMGqGfPnrb41CcnN1eSFMi5In6T//vEMIxy9zf5+bckSc9PHlPifjMXLJYkjR82qNzHBACcffr3H2tuL136Xz9Wcvabv2atJGl4r8v9XAkqo7eWrZQkjbm+j58rsScHOccSfgnx3333ncaOHavMzMxCbS6XS7GxsYqNjdW8efM0c+ZMde/evch+HnnkES1ZsqTItkOHDunQoUNavny5Lr30Ur388sulfiAAAAAAAPANOwys2oFfQnxiYqIyMzMVEBCgf/zjH7rssst0wQUXqFq1ajp69Kg+//xzffnllzpx4oTuvvtuffjhh2rTpk2hfhISEiRJNWrUUJ8+fdS1a1c1aNBAgYGB+v333/XOO+9o7969+uGHH3T33Xfr/fffZ0VEAAAAAPADQrw1/BLig4ODNWTIEN19990677zzCrS1bdtWvXv31sUXX6xnnnlG6enpmjZtmt57771C/URHR+upp57SwIEDFRISUqCtQ4cO6t+/v0aOHKmNGzdq48aNWrp0qQYMGODLlwYAAAAAKALXibeGX4al+/Xrp6eeeqpQgM9v2LBhateunSQpNjZWLper0D7Tpk3TkCFDCgV4t7CwME2dOtW8v3LlyvIVDgAAAAAok4CAAI9uKFmZRuKXLVum8ePHS5KGDBmip556qsj9Dh8+rP79+ys5OVlNmzbVp59+qvDwcI+P07VrV23dulW5ubk6ePCgoqKivK61VatWioqKksvlUnx8vNfPr0gsaOd/Vixml9+XCxdJKriw3Z9/nQZyfr165mMsaAfYj9ULYaJ4aX+toRNezIf2lVViWqokqUZ4RLn76nnzFeXuA55hQTuU5JGhwyRJYxKP+bkSe2I2vTXKlBqvv/563XDDDZKkRYsWadWqVYX2yc3N1SOPPKLk5GQFBQVp+vTpXgV4ScrKyvq70HIEXHc/nIMBAAAAAH7icHh2Q4nKnIynTp2qBg0aSJIef/xxHT9+vED73LlzFRsbK0kaO3asOnTo4PUx3M8PCgpSkyZNylTn9u3blZKSIklq3rx5mfoAAAAAAJSPI8Dh0Q0lK3OIj4yM1IsvvqjAwEC5XC5NnjzZnE64fft2vfbaa5KkTp06afTo0V73v2bNGu3cuVOSdOmllyoyMrJMdb755pvmdt++fcvUBwAAAACgfDgn3hrlWp2+c+fOGj16tP73v//p+++/1/vvv6+bb75ZEyZMUFZWVoGg743ExETzPPvAwEA98MADZapv5cqV5mJ2F154ofr06VOmfgBvHTh5UpL022+rC7XlPxcegH1xHnzlN3biDHP7v9MnWNbvsVOnzO261aoVu58V58K7sXYKUDkcPnbQ3yXYGqc3W6Pcl5gbO3as1q1bpy1btmj69On6+eeftXv3bknSk08+qYYNG3rVX05OjiZMmKBDhw5Jkv7973+rbdu2Xte1e/duTZ48WZIUGhqqF198kW8aAAAAAPAT8pg1yj1XISgoSDNmzFB4eLhOnz5tLnJ33XXX6cYbb/S6v//85z/6/vvvJUm9evXSPffc43UfCQkJGjVqlFJTU+VwOPTss8/q/PPP97ofAAAAAIA1OCfeGpaccNCkSRONGjXKvB8VFVXg+uyemjlzphYtyrskV6dOnfTqq6+WaSr+yJEjzZH8xx57TNdff73XtQAAAAAArBMQ4PDohpJZEuJTU1P1ySefmPcTExO1bds2r/qYPXu2Zs+eLSnv/PW33npLoaGhXvWRkpKiu+66S7t27ZIkPfDAAxo2bJhXfQAAAAAAfIBLzFmi3OfES9Izzzyj+Ph4SVJERIRSU1M1adIkLV26VNWrVy/1+R988IFmzpwpSWrRooXmzp2rqlWrelVDRkaG/v3vfysuLk6SNHLkyDJNxQdwdjmenGxu1/HyfQUoSVpmprkdHhIiSVr3xx/mY5e0alXhNZ2tktPTJf39dfbUU1P/7YtySlzMDsDZzdv3IRTEOfHWKPdI/MqVK81R+JtuukmvvPKKJOno0aOaMmVKqc9fsmSJnn76aUlSo0aN9M4776hmzZpe1ZCVlaX77rvPvK78v/71Lz388MNe9QEAAAAA8J2AwACPbihZub5CCQkJevLJJyXlBfDHHntMl19+uYYOHSpJWr58uZYsWVLs87/66is9+uijMgxD0dHRevfdd1XPy8tv5eTkaPz48Vq7dq0k6cYbbyzT+fgAAAAAAN9xOBwe3VCyMod4wzA0efJkJSYmKjAwUNOnT1dkZKQkaeLEieZq8E8//bS5yFx+P/zwgx566CHl5OSoVq1aeuedd7y+HJ1hGHr88cfNa8H36dNHzz//PP/wAAAAAFDJEOKtUeZz4t977z2tW7dOkjRmzBjFxMSYbaGhoZo+fboGDx6slJQUPfzww1qwYIECAvI+M9i8ebPGjh2rrKwsBQcHa/LkycrOztYf+c4lPFN0dLSqnXEO2gsvvGBO5W/VqpXGjBljXqO+OK04RxEAAAAAKhz53BplCvE7d+40F6Lr0KGD7r333kL7tG3bVvfff79mzpypDRs2aM6cORozZowk6fvvv1f6X4vUZGVlacKECaUe8/nnn9dNN91U4LGvvvrK3P7jjz8KtRdXO+BrjWvV8ncJ+AuL2cFXilrciMXsfKOeB4vkFqVmRITFleT5YvNmc/u6jh19cgwAOBs5ON/dEl5/FTMzMzVhwgRlZmYqPDxc06dPV1BQ0Z8F3HXXXerataskadasWdq6dWv5qgUAAAAA2BLT6a3h9Uh8SEiIPv/8c4/2DQgI0IIFCwo9ft999+m+++7z9tCFrF69utx9AAAAAAB8j4BuDUuuEw8AAAAAQEkI8dYgxAMAAAAAfI5rwFuDEA8AAPxq5oLF5vb4YYP8WIlnWMwOAMqGgXhrEOIBAAAAAL5HircEIR4AAAAA4HOcE28NQjwAAAAAwOc4J94ahHgAAAAAgM8xEm8NQryX3vl0pS6++GJ/lwHAQ+v++MPcvqRVKz9WAqA4/l7MLic3V5IUGMAIESpOVk62uR0cyJ/kODcQ4q3BOwYAAAAAwOcCAgnxViDEAwAAAAB8j5F4SxDiAQAAAAA+x3R6axDiAQAAAAA+R4i3BiHeS3cO7OPvEjyWevq0JCk8JEQSPzQ4N61etd7cZmE7AEXxdkG7LQcOmNsdGje2uhycI1jMDuciLjFnDd49AAAAAAA+x6CiNQjxAAAAAACfI8RbgxAPAAAAAPA5Mrw1CPEAAAAAAJ9zcE68JQjxXkr7a7E4O4ioUqVMz9u8f7+53bFJE6vKAfyi22Ud/V0CgLNMZV7M7lR6urldLSzMj5WgNGmZmea2exFinD3cC0yX9e/xsxXT6a1BiAcAAAAA+Bwh3hqEeAAAAACAzxHirUGIBwAAAAD4HNeJtwYhHgAAAADgcwzEW8NvIT47O1t//PGHtmzZori4OG3ZskW7d+9WTk6OJOmbb75Rw4YNS+wjMzNT3333ndnHkSNH5HK5lJqaqsjISDVr1kw9evTQkCFDFB0dbUnd4TZanOLAyZOSpMa1ann1vPAqLK6Cs8c17dv7u4RyMwzD3GYaGvwhKydbkhQcWPk++9+4b58kqVPTpn6to7JIYmE72/j5zz/N7d5t2/qxEvgCv6+LxtfFGn77bfzmm29q1qxZ5erjyJEjGjt2bJFtiYmJ2rRpkzZt2qR3331XU6ZM0YABA8p1PAAAAABAGRHiLeG3EJ9/ZKlKlSpq06aNnE6nDhw44FU/tWrVUrdu3dS+fXudd955qlOnjoKDg5WQkKA1a9bo888/V1pamiZNmqSoqCj17NnT6pcCAAAAACgF58Rbw28hvmPHjvrPf/6j9u3bq3Xr1goKCtKkSZO8CvGNGjXSunXrip2WcfXVV2vIkCG69dZblZWVpVdffZUQDwAAAAB+wHR6a/gtxF922WXl7iMgoPRPcjp06KDu3bvr+++/17Zt25SamqqIiIhyHxsAAAAA4DlCvDXKFOKXLVum8ePHS5KGDBmip556qsj9Dh8+rP79+ys5OVlNmzbVp59+qvDw8LJXW0b5j5mZmXnOhHhvF7RzaxVd3+JK4G+pp0+b2xFnLM64/8QJc/vUXwsitW/UqGIKg0e+27HD3O7Vpo0k6cV5iyRJD48Y4peaULrT2XmLwVUJqnyLwXnLVwvaHUlMlCTVr1GjUNtzb/2fuf3omFsLtf/fjz9Kkm79xz/KfPzthw5Jkto2aFDmPiqb9MzTpe9UjM3790uSOjZpYlU5KEFSWpq/S4APhYewUHRRAgIJ8VYo00kJ119/vW644QZJ0qJFi7Rq1apC++Tm5uqRRx5RcnKygoKCNH36dL8E+JMnT+rnn3+WJEVFRSkqKqrCawAAAACAc53D4fDohpKVeWWBqVOnqsFfn1w//vjjOn78eIH2uXPnKjY2VpI0duxYdejQoRxleiczM1Px8fH66KOP9K9//UtJSUmSpOHDh1dYDQAAAACAfBwOz24oUZnnx0VGRurFF1/U8OHD5XK5NHnyZM2ZM0cOh0Pbt2/Xa6+9Jknq1KmTRo8ebVnBxVm/fn2JIf2GG27QXXfd5fM6AAAAAACFMcpujXKt8d+5c2czoH///fd6//33lZGRoQkTJigrK8sM+oGBgZYUWxYNGjTQ3LlzNWPGDIVwbgoAAAAA+EVAYIBHN5Ss3CvVjB07VuvWrdOWLVs0ffp0/fzzz9q9e7ck6cknn1TDhg3LXaQn2rdvr88//1xS3nT6I0eOaPXq1frss880efJkPfDAA7r55pvLfRz3QkXl9c22beb2lRdeaEmfZ4p3Ogvcb1Szpk+OY4XEtFRzu0b4ubHwYGmsXBRr0dp15vaIq3sXaIt3njS3v/zkO0lS+0m+nz1jdxlZWeZ2aHCwT4/lXswuPxa0K2jX0aPmdsvoaJ8eyz2KYBhGifudDQva+VpRC9q5jbr1hhKfe+aCdikZGeZ2ZGioR8f/6P99LUma+sAdHu1vB+VZnDakEn/POlPz/k6oeRYtTjywc2d/lwBUOEbirVHud+ugoCDNmDFDAwYMUFpamrnI3XXXXacbb7yx3AV6Kjw8XK1atTLvt2vXTldffbX69++v0aNH6/HHH1dCQoLGjh1bYTUBAAAAAPIQ4q1hyVyFJk2aaNSoUeb9qKgoTZ061Yquy61Hjx7mufKvv/66OUsAAAAAAFBxWNfOGpaE+NTUVH3yySfm/cTERG3LN13c36688kpJeZe9+/rrr/1cDQAAAACcexyBAR7dUDJLvkLPPPOM4uPjJUkREREyDEOTJk0yL+3mbzXznQt++PBhP1YCAAAAAOcmrhNvjXKfE79y5UpzFP6mm25S3759NWrUKB09elRTpkzRK6+8Ut5DlFtCQoK5HR4eXq6+rFqoyFeL2eVXmReyOxOL2RVm5aJYZy5ml9+lrVr/vT2pdbH7oSBfL2YH7/h6Mbv8SlvQDtaoU7WqV/t7uphdfmfTgnZWaNuggb9LKNbZtKAdcC4joFujXCPxCQkJevLJJyVJjRo10mOPPabLL79cQ4cOlSQtX75cS5YsKXeR5bVixQpzO//idwAAAACAisFIvDXKHOINw9DkyZOVmJiowMBATZ8+XZGRkZKkiRMn6vzzz5ckPf300zp06JA11Z5h2bJlSk5OLnGfL7/8UosWLZIkVa1aVb17Fz8iCQAAAADwDa4Tb40yz9d97733tG5d3rWnx4wZo5iYGLMtNDRU06dP1+DBg5WSkqKHH35YCxYsUEDA3/8gqampWrlyZYE+9+/fb26vXLlSUVFR5v02bdqozRnXSl60aJGeeOIJXXXVVerSpYuaNWumqlWrKi0tTXv37tXKlSv13Xd51712OBx67LHHVKOEa9ICAAAAAHyDQXZrlCnE79y5UzNnzpQkdejQQffee2+hfdq2bav7779fM2fO1IYNGzRnzhyNGTPGbHe5XJo8eXKxx3jxxRcL3B87dmyhEC9JaWlpWrp0qZYuXVpsX9WrV9fjjz+u/v37l/raAAAAAAA+UElS/OHDh7VgwQKtWbNGR44cUUhIiBo3bqy+ffvq1ltvVVhYWJn7TklJ0XfffaeffvpJ27ZtU3x8vDIyMhQZGamWLVuqV69euvnmm1WtWrUyH8PrEJ+ZmakJEyYoMzNT4eHhmj59uoKKWYDrrrvu0vfff6/Y2FjNmjVLl1xyidq1a1fmYs80Y8YM/fjjj1q/fr127typEydOyOVyKTg4WFFRUWrVqpUuu+wyXX/99apevbplxwUAAAAAeCf/zGx/WbNmjSZMmFDgtOz09HTFxcUpLi5OH3/8sebMmaNGjRp53fd3332nsWPHKjMzs1Cby+VSbGysYmNjNW/ePM2cOVPdu3cv02twGCyz6zGHw6GNGzfq4osv9ncpAAAAAM5hv/76qzp16mSrfPLet995tN/tV/T0yfF37Nihf/3rX0pPT1d4eLjGjBmjbt26KSMjQ19++aU++ugjSdL/b+/Ow5uq8j6Af5M2pUtaWihQKIXSQoHKUii7OiLDKC51eABfHEEUeBVFHB4FVMARBMWl1hmU8R0WqbKM4FJkUVFBVJBKpexryyJ7y9YW0jZt2p73jzS3SW/23JAGvp/nycPlnnPPPblNTnJyz/mdhIQEfPHFFwhzcWWMtWvX4sUXX4RarcaAAQNw5513olOnToiIiEBBQQHWr1+Pb775BgAQEhKCTz/91Opoc0eUW8OKiIiIiIiIyAZfR55/4403UF5ejsDAQCxdutQirlv//v3Rtm1bpKen48SJE8jMzMSkSZNcKl+j0WDkyJF4+umn0apVK4u05ORkDBo0CD179sTrr7+O8vJyvPXWW/jkk09cfh6+H89ARERERERENz1fLjG3b98+5OTkAACGDx9u0YE3GTduHBITEwEAy5Ytg8FgcOkc999/P+bMmSPrwJt77LHHpCnmOTk5KCoqcukcAO/Eu+zw4cMW/4+KikK7du2g1+tx6NAhWX7T0JajR4+itLTUIi0+Ph5NmjTBpUuXcObMGYu08PBwdOjQAdXV1di7d6+s3K5du0Kj0eD48eMoKSmxSIuNjUWLFi1QVFSEkydPWqSFhIRIQzZ2796N+rMpOnfujJCQEJw6dQpXrlyxSGvRogViY2Nx/fp15OfnW6RpNBp07doVALB//37ZC75Dhw4IDw/HuXPnUFhYaJHWtGlTtG3bFuXl5bLrq1KppDfY4cOHUV5ebpHerl07REVFobCwULaUYePGjZGYmAiDwYD9+/ejvu7duyMgIAD5+fmypQrj4uLQrFkzXL16FX/88YdFWlhYGDp27AjAOIypvuTkZAQHB+PkyZOyN2XLli3RsmVLXLt2DceOHbNIa9SoEW677TYAxkamqqrKIj0pKQlarRZnz57FxYsXLdKio6PRpk0blJWV4ciRIxZparUaKSkpAIBDhw5Br9dbpCckJCAyMhIFBQU4f/68RVpkZCQSEhJQWVmJAwcOyJ5rSkoK1Go18vLyoNPpLNLatGmD6OhoXL58GadPn7ZI02q1SEpKQk1NDfbs2SMrt0uXLggKCsKJEydQXFxskdaqVSvExMSguLgYJ06csEgLDg5GcnIyAGDPnj2oqamxSO/UqRNCQ0Nx+vRpXL582SKtefPmaN26NXQ6HfLy8izSAgMD0a1bNwDAwYMHUVFRYZHevn17RERE4MKFC7hw4YJFGtsII7YRddhGGLGNMGIbYcQ2og7bCCO2EUb22gjz1/vRo0el11VDplb77k785s2bpe3hw4dbzaNWqzF06FBkZGSgpKQEOTk5uP322xWvS58+fXDgwAHU1NTg7NmzFquyOUWQ0wDIHqNGjRJCCJGfn2813aRfv36ytOXLlwshhFiwYIEs7Z577hFCCFFSUmK13IsXLwohhEhLS5OlZWRkCCGE+Oyzz2RpPXr0kOoUFBQkSz9w4IAQQojx48fL0l5++WUhhBBbtmyRpcXGxkrlxsbGytK3bNkihBDi5ZdflqWNHz9eCCHEgQMHZGlBQUFSuT169JClf/bZZ0IIITIyMmRpaWlpQgghLl68aPUalpSUCCGEuOeee2RpCxYsEEIIsXz5cllav3797L4m8vPzhRBCjBo1SpY2a9YsIYQQGzdulKUlJiZK5UZHR8vSt2/fLoQQ4vnnn5elTZw4UQghRG5uriwtPDxcKjc5OVmWvnbtWiGEEPPmzZOljRgxQgghxJkzZ6w+V71eL4QQ4q677pKlLV68WAghxOLFi2Vpd911lxBCCL1eb7XcM2fOCCGEGDFihCxt3rx5Qggh1q5dK0tLTk6Wnmt4eLgsPTc3VwghxMSJE2Vpzz//vBBCiO3bt8vSoqOjpXITExNl6Rs3bhRCCDFr1ixZGtsIthH1H2wj2EaYP9hGsI2o/2AbwTbC/OGojTDVy/x11ZCt2LbNqYc3PProoyIpKUmkpKQIg8FgM9+uXbtEUlKSSEpKEvPnz/dKXebOnSudw9RuuoKB7VygUqmwYsUKi+AD/AXdiL+g1+Ev6Eb8Bd2IbYQR24g6bCOM2EYYsY0wYhtRh22EEdsII0d34kePHo3c3FyL11VD9t/t253K9+iAAYqfu1+/figqKkKnTp2wdu1am/lKSkrQp08fAMCQIUMwf/58xevy0EMP4ejRowgMDMSOHTug1WpdOp6deBcwOj0RERERETUE/hid/tPsbKfy6Y8cQWZmpsvljx07FmPHjpXtr6iokH5IGThwIBYuXGi3nB49eqCsrAwpKSlYvXq1y/Ww56effsKECROcros1nBNPREREREREXhfg5DrxOp1ONurG2eOsMR/JFBoa6rCckJAQlJWVoayszOU62FNcXIw5c+YAAAICAjB58mS3ymEnnoiIiIiIiLzO2cjzWq0WLVq0cLl8W8PSzacwaDQah+UEBQUBgGz6iCeqq6sxdepUaerOM888I03fcBU78UREREREROR1aic78baGxburUaNG0rYzy8ZVVlYCMMZJUMprr72GrVu3AjAOo584caLbZbETT0RERERERF7npSXgHQoLC5O2nRkibwqC6czQe2dkZGRIc+tTU1Mxf/58BAQEuF0eO/FERERERETkdQEq5+bEK61Ro0aIiopCUVERCgoK7OYtKSmROvoxMTEen3vRokVYtGgRAOC2227DwoULPb7D75urSERERERERLcUlUrl1MMbEhMTAQCnT5+WLcFoznzpQdMx7lq5ciUyMjKkspYsWYLw8HCPygTYiSciIiIiIqIbwJed+NTUVADG4fQHDx60me/333+Xtj1Zuu+rr77C3LlzAQBxcXHIzMxEkyZN3C7PHIfT32CdOvUDAPy6c5O0r6mNKIr+6L0VWQCAF0YPc+m4lVu3Sduj7rxD0To5I792WE0HB0NmevUaAgDYuXOj1+t0rXYuTkRIiMdlZe2sa4yG9eptkXb4/Hlpu3OrVh6f62ZwpXZ5koby3szOz5e2+3fo4MOa+Ieq6moAQKAHc81cdeDsWQBAl9atvX6ui9euAQCaR0R4pXwhhLTtrS9SzvDkc8H0HBzV/z/rjW3502lDXKxdw3Dp+nVpu5kCd3ZOX7kCAGjTtKnHZZF/UvK7hyOFJSUAgBaNG3v9XNRwOBvYzhsGDx4srcn+5Zdfonv37rI8NTU1+OqrrwAAERER6Nu3r1vn+v777zFjxgwIIRATE4OPP/7YrWj7tvBOPBEREREREXldgFrt1MMbunXrhl69egEwduJ3794ty7N06VIcP34cADBmzBjZcnRZWVno2LEjOnbsiA8++MDqebZt24YXXngB1dXVaNq0KTIzM9Fa4R/5eSeeiIiIiIiIvM6HN+IBADNnzsTf/vY36PV6jBs3Dk8//TT69u0LvV6Pb775RoogHx8f79YSd3v27MGkSZNgMBig0Wgwffp0VFVVIS8vz+YxMTExiHBxdB078UREREREROR1Kvi2F5+cnIx//vOfmDZtGnQ6Hd577z1Znvj4eCxatAhaN6ZVbt26VVqezmAwYOrUqQ6PefPNNzFsmGtTkdmJJyIiIiIiIq/z1lB5VwwaNAjr1q3DsmXL8NNPP6GwsBAajQZt2rTBkCFDMHr0aITcgLgQnlAJ8wg2ZJdKpUJubq5HUQpvdqbgTi0jI6V9puBgh86dk/Ylx8ZaHFdaUSFthzVqpFh9jly4IG13atnS4/LeWrIKAPDy/z7icVnWfGkWDXN47952cirHFNgJ8N/gTreihhyAaups4xyxiRNHSvsSmjcHAMz9cLm07x8TH7uxFQPweU4OAODhPn1u+LnJNXqDQdoOrjcnEQDOFV0FAMRGeR7p1xfBEG8l54uKAACtoqJ8XBNy5LdjxwAA/dq39/q5zlw1vofjFIrWbeLvAStdsWvXLqSmpvpV/+THQ4ecyjcoOdnLNfFvvBNPREREREREXufL6PQ3E3biiYiIiIiIyOt8uXTpzYSdeCIiIiIiIvK6ADU78UpoEJ34r7/+GllZWTh69ChKSkrQrFkzpKamYtSoUUhJSXGrzJUrV2LOnDnS/92J+keua9esGQCguqZGlmZv7q478+Cz8/MBAP07dLCZp7mLyzU44q258CYaH8zH7NoxQdpWco4peVdDnAtv0uc+43xz0zx4c9Gx0Te6OhY4F95/WJsHb07Jdopz4S2ZYm4Arrc1mw4cAAAM7tJF2mea+8w58Q1fSXnZDTvXlevXASg/Jz6+bStFyyNl+To6/c3Cp534iooKTJ48GVu2bLHYf+7cOZw7dw4bNmzApEmT8Oyzz7pUbmFhodXlAoiIiIiIiMg3OCdeGT7txM+YMUPqwPft2xdjxoxB8+bNkZeXh4ULF+L06dN4//330bx5czz88MNOlzt37lzodDo0bdoUV8x+TSYiIiIiIiLf4Jx4Zfhsob6cnBxs2LABAHD33XcjMzMTgwcPRrdu3TBixAisXr0arVoZh8Okp6fj2rVrTpW7adMm/PDDD2jSpAmefPJJr9WfiIiIiIiInBegVjv1IPt8doWWLFkCAAgICMDs2bMRUG8+WpMmTTB16lQAQElJCb744guHZep0OsydOxcA8NJLL6Fx48YK15qIiIiIiIjcoVKpnHqQfW4Np9+wYQOmTJkCABg5cqRFADlz58+fx0MPPYTr168jPj4ea9asQWhoKEpLS5GdnQ0AGDBgAGJiYqwe/5e//AVarRY6nQ7ff/89xo0bZ7de7733HgoKCtCnTx8MHToUWVlZ7jw98oApQJ0pQBoARISEAACOXLgg7evVrp3FceaB8Oz9+nZFp5O27QW0M2kSFuYwjysu1QZhaRYermi5Jr4IVnZ7UpLLx3yzdy8A4P7u3ZWujseOFRYCANq3aOHjmty6usbFAQA+2fKztO/xu+8CABT+UeiTOtGt5e2PVgEAXhrv3WCkN6u20XUBKIUQLh17TV8u21daUeFxnejGqK5x7e/tieCgIK+U+/WK7wEAQ97p5pXyyTPsoCvDrTvxDz74INLS0gAAq1evxqZNm2R5ampq8NJLL+H69esIDAxEeno6QkNDAQD79u1DZWUlAKCPnUjBQUFBUnT6/fv3w2Aw2My7d+9efPrpp9BoNJg9e7Y7T4uIiIiIiIi8RK1y7kH2uT2cfvbs2YiNjQUAvPLKK7h06ZJF+pIlS5CTkwMAmDRpErp1q/s17MSJE9J2QkIC7GlXe8e2qqoKp06dsprHYDDglVdeQU1NDcaPH4/ExETXnxARERERERF5TYBK7dSD7HP7Cmm1WrzzzjsICAhAUVERpk+fLg25OnToEN5//30AQGpqKp566imLYy+YDatu4WDIa8uWLa0eZ+6jjz5CXl4e4uLi8Mwzz7j1fIiIiIiIiMh7OCdeGR79zNGrVy+pg75161asWLECer0eU6dOhcFgsOjomystLZW2TUPsbQmpnU8NAGVlZbL0U6dO4cMPPwQAvPrqqwgODnb7+RAREREREZF3sBOvDI/XiZ80aRJ+/fVX7Nu3D+np6fjtt99w/PhxAMZOdevWrWXHVJgFOAlyENTCPF2v18vSZ82ahYqKCgwZMgR/+tOf3H0aijF/0ZlGJjRuXBcgZseR/QCATmYjDEyenZoOAPj3u9PcPq+zAWhGPvISAGD1qrddPpc98fFdAADt2tVNn9iy5b8AgCXzV0v7es+fDqCuvs4uJdGlQ12509LfBQC8MHqYzfxPPDVb2v540Wyb+Uw/NFVXV9s9v7MB7VZu3QYAGHXnHU7ln/nOIgBAr0E9pX0pbds6dawvFF666jiTG+q/jqfN+beUlv7qs06VcfDsWQCeBbZz9f2kBCXPOXToZGl77VrjqKi0tLrrt27dApvHbty3DwAwxGwKlLW6WfuANaWfu2p8fSx/Y6mUZgpsN3vyE3bLdZe9+rgj948/AACFJSXSvoYYyJGsY0A79yz94UcArr937r23LvDwd98tlaUXl5XK9tV/z5qf86nn3gAALPpgprTvfFERAKBVVJTNMqyVZ57n3nvHAwA2blwiy9+sWZy0/chYYxv6wTtTbZZv7fuevXyOrqm9Nuyxsf+Q9q34+HWLNGv1cNQBql8X8/yZm7bYPdZd1q7Dhh9+BQB0GjNC0XL/8cpTVvPY0tA+6539m97IeiuJy8cpw+OrGBgYiHfffRehoaGoqKiQgtw98MAD+Otf/2r1mEa1EcwBSAHubDFPr3+XPSsrC9nZ2dBqtZgxY4a7T4GIiIiIiIi8jHfilaHITyFt27bFk08+Kf0/KirKboT4MLNlv6wNkTdXXl63VIn50PurV6/i7beNd5EnT57scG49ERERERER+Q6j0yvD4+H0gHGOu/ma7MXFxTh48CD69+9vNb/5uvCFhYXo2rWrzbLNg9mZB7n7/PPPUVxcjIiICERGRuLrr7+WHbu3di1r07ZpBEC/fv3Q1M31uMsN5SitlA8Lk2jqNk35RGDdcJcyQ5lFmjkDKm2mOaSxPKcjVSoPzmVHTaBxvfdqdZW0z3QO0/MD4HJ965cPABU1eodlGFR157SXT2iEW/WxRV9d7lJ5lcI4xURfVfejldJ/GyVVuPj8nFbvdWG6Lq6cy3QNPaqbm69Pjyh4ziq12XKcGvk+e+fQV1lpo6zVzaytq19ueW0Z1Y7OqeR1tlMfd5TXttX+8p4kUoK7bbuj9sVqu1zvPWueZu37UJmhtHaf2TRMK+97WXlmeUz1tFZHYfb9wqnvY1a+79nL5/Ca2mnDqlR2vj9Zq4ed62K1Lmb5b9TnOwBUOvE9zp1yS6XXSoBFHlsa3Ge9k3/T0spSlBuMfy9/GlqvAnvoSlAJBf7q06dPlzrxYWFhKC0tRUxMDNatW4fGjRvL8mdnZ+OJJ54AAEyZMkUWvd7c+PHjsW3bNgQGBmL37t3SHPkPPvgACxbYntdpz7Jly9C3b1+Xj1OpVMBTAFq5dVoiIiIiIiJlnAewCOj+anfsnr3bL4ahn7h40al8Cc2be7km/s3j4fTfffed1IEfNmwY/vWvfwEACgoKMGvWLKvHdO3aFRqN8Scl01ry1lRWVmLPnj3SMY6C4BEREREREVHDxDnxyvBoOH1hYSFeffVVAEBcXBxmzpwJrVaL0aNHY8WKFfj2228xcOBADB061OI4rVaL/v3745dffkF2djYKCgoshtib/PDDD9DpdACAwYMHW6Q999xzeO655+zWLysrC9OnG6Ogv/nmmxg2zHYUc2dtG7cNKT1SbKaXmM3xb+xg+bz6fjpyGAAwsFNnl+s1Y97/AQDmzXjGqfyXdNcBAM20zkVbV9r/jJwCAPhsdQYAYPepU1JajwYcld1bRj5iXJFg9ap0H9fEOffdNxYA8O23mV49z/4zZ6TtrnFxdnLWadbc2JZculjglTp5y7pduwAAD/Xs6SCnY9nH8qXt/u07AACumi3t2cQsLkl9pmvu6Hp/Uztd6WaP2L6rNko9APSMj/dZPYgassPnz0vbnVt5Z7hiVe3qMYFmyxafvGS8o3fqyhVpn73vUDknjKsn9UlIlKXNePM/0na7rgkAgCcfvMdmWcu3/CxtP1a7+oY1WTt3AgCG9eplMw8AZH63GQDw4O19pH3WvqOlf2Rc6Wfa+JEAgFXbt0tpjwwYIMu/97Tx+1X3Nr79brVsszHq/Zg/361oubknTwIAUtu1s5nnc7Mbhl1qV836eMkaad/bTq5+owRrK8A4Y+2uXGk7pnaUc9/E9tizew/uWHQHPnroI7/p+Kr9pJ4NndudeCEEpk+fjuLiYgQEBCA9PR1arRYAMG3aNPz22284duwY5s6di969eyM2Ntbi+HHjxuGXX35BVVUVXnvtNSxYsMBiPfmrV6/i3XeNS4hFRETg4YcfdreqigrRhCAsyPYX4KqquhdmWJBrnfiQwNDa42yXb4sGjVw6tkxT4/a5lBBYo7E4f4im7lr5qk6+VP96NHQBNcamw9v1DXXjdaEyqFzK31AEB4YAUKbeprbEvLwKs2ny9s5huuaO6qFkfRuyW71tInKGO221q6x14kM1td8hAutiV9g7v73vWabvUQDQKCDYYVmNAkKcOqezbaWpvDBNXT5rxwSpLesW7KAeIU626d4mPT+F6+HM8zP9DYC616r53/tGXht3PzvNn4P56zhEY9zvLx14wL/q2pC5PZz+k08+wa+/Gtd3nDBhAnr06CGlBQcHIz09HRqNBjqdDi+++CJqamosju/fvz8eeOABAMCPP/6IsWPHYvPmzdi/fz++/PJLjBw5Eudrf9mdMmWK1bn1RERERERE5B8C1CqnHmSfW3fijx49iowM4zDobt264dln5cNQkpOT8fe//x0ZGRnYuXMnFi9ejAkTJljkmTdvHnQ6HX7++Wfs2LEDO3bssEhXq9WYOHEiHnnkEXeqSURERERERA0Eo9Mrw+Xo9JWVlRg+fDjy8vIQGhqKNWvWIN7GPMGamho8/vjjyMnJgUajwapVq9ClSxdZvvXr12PNmjU4cuQIrl27hujoaKSmpmL06NEWd/hdpfSceJVKhdzcXPS0M2f1jf+slLZnPj0KAHDvveOkfd99txRA3bAwoG5o2J//PAYAsHnzMo/qeav47dgxAEC/9u19XBPPVdeOVAlQexxrkm6Qc0VXpe3YqCY+rIncY2P/Idt3Mv+QtL1t25c2jzUNc/On5Wro5lJYUgIAaMEReIqxNhTdVabPXED+uRsRUbds77VrV+AO8yG2ISHG6ZllZdelfRVVxqVrGwXW3X86XTsX/tL1unw9a+PqWBuy27v3fQCA33//Vpa2snZ0KQBUVRrP9bidue7eYnr9A3Xvgejo1tK+y5fP3vA6KaG4zBiXJTL05pyW5Kvnt2vXLqSmpjrsnzQkF4qLncrXMjLSq/Xwdy7fiQ8KCsL69eudyqtWq7F8+XKH+dLS0pCWluZqVRwaNmyYIsHsiIiIiIiIyDMMbKcMj6LTExERERERETlDzVGnimAnnoiIiIiIiLyOd+KVwU48EREREREReR2XmFOGy4HtbmXOBLajG2fH8eMAgL6JiU7lP3LhAgCgU8uWXquTN+n0emlbGxzsw5pQQ2ct6J55U88PULoZWQsIRspRug356fBhAMDAzp09LovoVuWPge1MQQAduVmDICqFd+KJiIiIiIjI69QqzolXAjvxRERERERE5HWcE68MduKJiIiIiIjI6zilTxnsxBMREREREZHXBXCJOUWwE09+y9mAdib+GtDOhMHsyFmmYHbm+Mv3jXH6yhVpu03Tpj6sya2Hwey8S+k2hAHtGo4fDx2StgclJ/uwJnQr4PcRZbATT0RERERERF6nZh9eEezEExERERERkdepwF68EtiJd9Hh2nVNiYiI6rtQXCxtX46M9Fk9iIiclXfihLQdqdf7sCbkKlO/xPSvP6wVzznxylAJIYSvK+EvOIeDiIiIiIgaInbrbh28E+8CvjGIiIiIiIjIlziegYiIiIiIiMhPsBNPRERERERE5CfYiSciIiIiIiLyE+zEExEREREREfkJduKJiIiIiIiI/AQ78URERERERER+gp14IiIiIiIiIj/BTjwRERERERGRn2AnnoiIiIiIiMhP/D8WrwgLhBKaMAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# example spiking / decoded position / assembly activity\n", + "\n", + "file = open('/stelmo/mcoulter/coulter_all_figures/supp_assembly_spike_plot.pkl','rb')\n", + "spike_time_dict = pickle.load(file)\n", + "file.close()\n", + "\n", + "file = open('/stelmo/mcoulter/coulter_all_figures/supp_assembly_posterior_plot.pkl','rb')\n", + "posterior_to_plot = pickle.load(file)\n", + "file.close()\n", + "\n", + "file = open('/stelmo/mcoulter/coulter_all_figures/supp_assembly_curve_x_plot.pkl','rb')\n", + "assembly_x = pickle.load(file)\n", + "file.close()\n", + "\n", + "file = open('/stelmo/mcoulter/coulter_all_figures/supp_assembly_curve_y_plot.pkl','rb')\n", + "assembly_y = pickle.load(file)\n", + "file.close()\n", + "\n", + "posterior_to_plot_reset = posterior_to_plot.reset_index()\n", + "\n", + "#try:\n", + "# ripple_end_plot = posterior_to_plot_reset.index[posterior_to_plot_reset['bin_timestamp']==rip_end][0]\n", + "#except IndexError:\n", + "# ripple_end_plot = 0\n", + "\n", + "# for 8 arms: posterior_to_plot.iloc[:,4:145] posterior only: 4:81\n", + "posterior_offline1 = posterior_to_plot.iloc[:,27:68]\n", + "posterior_offline2 = posterior_offline1.fillna(0)\n", + "post_heatmap = posterior_offline2.transpose()\n", + "post_heatmap = post_heatmap.iloc[::-1]\n", + "\n", + "#plt.figure(figsize=(10,5))\n", + "#fig, axs = plt.subplots(ncols=1, nrows=3, figsize=(10, 9),layout=\"constrained\")\n", + "\n", + "# try to get timestamps for plotting LFP\n", + "start = posterior_to_plot_reset['bin_timestamp'].values[0]\n", + "end = posterior_to_plot_reset['bin_timestamp'].values[-1]\n", + "#lfp_time_ind = np.where((adjusted_ts>start) & (adjusted_ts" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plot raw cell count\n", + "\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patches\n", + "\n", + "sns.set_style(\"ticks\", {'axes.grid' : False})\n", + "\n", + "pippin_head_dir_plot = np.array([val for sublist in pippin_cell_count for val in sublist])\n", + "\n", + "tonks_head_dir_plot = np.array([val for sublist in tonks_cell_count for val in sublist])\n", + "\n", + "ginny_head_dir_plot = np.array([val for sublist in ginny_cell_count for val in sublist])\n", + "\n", + "ron_head_dir_plot = np.array([val for sublist in ron_cell_count for val in sublist])\n", + "\n", + "molly_head_dir_plot = np.array([val for sublist in molly_cell_count for val in sublist])\n", + "\n", + "arthur_head_dir_plot = np.array([val for sublist in arthur_cell_count for val in sublist])\n", + " \n", + "matplotlib.rcParams.update({'font.size': 20})\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 0\n", + "plt.rcParams['ytick.major.width'] = 2\n", + "\n", + "fig, ax = plt.subplots()\n", + "fig.set_size_inches(14,8)\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.spines['bottom'].set_color('black')\n", + "ax.spines['left'].set_color('black')\n", + "ax.spines['bottom'].set_linewidth(2)\n", + "ax.spines['left'].set_linewidth(2)\n", + "\n", + "swarm = 0\n", + "\n", + "if swarm == 1:\n", + " swarm_ax = sns.stripplot(x=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(2,len(tonks_head_dir_plot)),\n", + " np.repeat(3,len(ginny_head_dir_plot)),\n", + " np.repeat(4,len(ron_head_dir_plot)),\n", + " np.repeat(5,len(molly_head_dir_plot)),\n", + " np.repeat(6,len(arthur_head_dir_plot)),\n", + "\n", + " ]), \n", + " y=np.concatenate([pippin_head_dir_plot,\n", + " tonks_head_dir_plot,\n", + " ginny_head_dir_plot,\n", + " ron_head_dir_plot,\n", + " molly_head_dir_plot,\n", + " arthur_head_dir_plot,\n", + " ]), \n", + " hue=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(1,len(tonks_head_dir_plot)),\n", + " np.repeat(1,len(ginny_head_dir_plot)),\n", + " np.repeat(1,len(ron_head_dir_plot)),\n", + " np.repeat(1,len(molly_head_dir_plot)),\n", + " np.repeat(1,len(arthur_head_dir_plot)),\n", + "\n", + " ]), \n", + " palette=['black'], \n", + " alpha=1,zorder=1,size=5,\n", + " edgecolor='white',linewidth=1,dodge=True)\n", + "\n", + "t_ax = sns.boxplot(x=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(2,len(tonks_head_dir_plot)),\n", + " np.repeat(3,len(ginny_head_dir_plot)),\n", + " np.repeat(4,len(ron_head_dir_plot)),\n", + " np.repeat(5,len(molly_head_dir_plot)),\n", + " np.repeat(6,len(arthur_head_dir_plot)),\n", + " ]), \n", + " y=np.concatenate([pippin_head_dir_plot,\n", + " tonks_head_dir_plot,\n", + " ginny_head_dir_plot,\n", + " ron_head_dir_plot,\n", + " molly_head_dir_plot,\n", + " arthur_head_dir_plot,\n", + " ]), \n", + " hue = np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(1,len(tonks_head_dir_plot)),\n", + " np.repeat(1,len(ginny_head_dir_plot)),\n", + " np.repeat(1,len(ron_head_dir_plot)),\n", + " np.repeat(1,len(molly_head_dir_plot)),\n", + " np.repeat(1,len(arthur_head_dir_plot)),\n", + " ]),\n", + " #capsize=0.1,errcolor='black',\n", + " linewidth=2, #facecolor=(1, 1, 1, 0),\n", + " palette=['grey'],\n", + " zorder=2,showfliers=False,showcaps=False,)\n", + " #showmeans=True,meanline=True,meanprops=dict(color='r'))\n", + "\n", + "for patch in t_ax.patches:\n", + " patch.set_alpha(0.5)\n", + " \n", + "ax.get_legend().remove()\n", + " \n", + "#plt.ylim(0,10)\n", + "plt.title('All rats: active cell count per reward')\n", + "#plt.hlines(1,-0.5,5.5,linewidth=2)\n", + "#plt.yscale('log')\n", + "#plt.ylim(0,100)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 348, + "id": "54d2f170", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "pippin cell count mean 2.54 total rewards 322\n", + "WilcoxonResult(statistic=0.0, pvalue=1.3818570521146667e-42)\n", + "tonks cell count mean 8.078 total rewards 2999\n", + "WilcoxonResult(statistic=0.0, pvalue=0.0)\n", + "ginny cell count mean 5.24 total rewards 1970\n", + "WilcoxonResult(statistic=0.0, pvalue=1.370825658946587e-309)\n", + "ron cell count mean 1.763 total rewards 1737\n", + "WilcoxonResult(statistic=0.0, pvalue=2.8923791246666317e-206)\n", + "molly cell count mean 3.726 total rewards 2037\n", + "WilcoxonResult(statistic=0.0, pvalue=1.1170272756690789e-296)\n", + "arthur cell count mean 3.935 total rewards 1176\n", + "WilcoxonResult(statistic=0.0, pvalue=4.720078770746888e-153)\n" + ] + } + ], + "source": [ + "print('pippin cell count mean',np.round(np.mean([val for sublist in pippin_cell_count for val in sublist]),decimals=3),\n", + " 'total rewards',len([val for sublist in pippin_cell_count for val in sublist]))\n", + "print(scipy.stats.wilcoxon([val for sublist in pippin_cell_count for val in sublist]))\n", + "\n", + "print('tonks cell count mean',np.round(np.mean([val for sublist in tonks_cell_count for val in sublist]),decimals=3),\n", + " 'total rewards',len([val for sublist in tonks_cell_count for val in sublist]))\n", + "print(scipy.stats.wilcoxon([val for sublist in tonks_cell_count for val in sublist]))\n", + "\n", + "print('ginny cell count mean',np.round(np.mean([val for sublist in ginny_cell_count for val in sublist]),decimals=3),\n", + " 'total rewards',len([val for sublist in ginny_cell_count for val in sublist]))\n", + "print(scipy.stats.wilcoxon([val for sublist in ginny_cell_count for val in sublist]))\n", + "\n", + "print('ron cell count mean',np.round(np.mean([val for sublist in ron_cell_count for val in sublist]),decimals=3),\n", + " 'total rewards',len([val for sublist in ron_cell_count for val in sublist]))\n", + "print(scipy.stats.wilcoxon([val for sublist in ron_cell_count for val in sublist]))\n", + "\n", + "print('molly cell count mean',np.round(np.mean([val for sublist in molly_cell_count for val in sublist]),decimals=3),\n", + " 'total rewards',len([val for sublist in molly_cell_count for val in sublist]))\n", + "print(scipy.stats.wilcoxon([val for sublist in molly_cell_count for val in sublist]))\n", + "\n", + "print('arthur cell count mean',np.round(np.mean([val for sublist in arthur_cell_count for val in sublist]),decimals=3),\n", + " 'total rewards',len([val for sublist in arthur_cell_count for val in sublist]))\n", + "print(scipy.stats.wilcoxon([val for sublist in arthur_cell_count for val in sublist]))\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "fe05feaf", + "metadata": {}, + "outputs": [], + "source": [ + "# Figure S6C" + ] + }, + { + "cell_type": "code", + "execution_count": 350, + "id": "babb8d34", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'All rats: normalized cell fraction per reward')" + ] + }, + "execution_count": 350, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# normalize the number of cells based on total high activity cells\n", + "\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patches\n", + "\n", + "sns.set_style(\"ticks\", {'axes.grid' : False})\n", + "\n", + "mean_list = []\n", + "for i in np.arange(len(pippin_cell_count)):\n", + " mean_list.append(np.mean(pippin_cell_count[i]))\n", + "norm_list = []\n", + "for i in np.arange(len(pippin_cell_count)):\n", + " norm_list.append(mean_list[i]/pippin_sig_cluster_count[i])\n", + "pippin_head_dir_plot = norm_list\n", + " \n", + "mean_list = []\n", + "for i in np.arange(len(tonks_cell_count)):\n", + " mean_list.append(np.mean(tonks_cell_count[i]))\n", + "norm_list = []\n", + "for i in np.arange(len(tonks_cell_count)):\n", + " norm_list.append(mean_list[i]/tonks_sig_cluster_count[i])\n", + "tonks_head_dir_plot = norm_list\n", + "\n", + "mean_list = []\n", + "for i in np.arange(len(ginny_cell_count)):\n", + " mean_list.append(np.mean(ginny_cell_count[i]))\n", + "norm_list = []\n", + "for i in np.arange(len(ginny_cell_count)):\n", + " norm_list.append(mean_list[i]/ginny_sig_cluster_count[i])\n", + "ginny_head_dir_plot = norm_list\n", + " \n", + "mean_list = []\n", + "for i in np.arange(len(ron_cell_count)):\n", + " mean_list.append(np.mean(ron_cell_count[i]))\n", + "norm_list = []\n", + "for i in np.arange(len(ron_cell_count)):\n", + " norm_list.append(mean_list[i]/ron_sig_cluster_count[i])\n", + "ron_head_dir_plot = norm_list\n", + " \n", + "mean_list = []\n", + "for i in np.arange(len(molly_cell_count)):\n", + " mean_list.append(np.mean(molly_cell_count[i]))\n", + "norm_list = []\n", + "for i in np.arange(len(molly_cell_count)):\n", + " norm_list.append(mean_list[i]/molly_sig_cluster_count[i])\n", + "molly_head_dir_plot = norm_list\n", + "\n", + "mean_list = []\n", + "for i in np.arange(len(arthur_cell_count)):\n", + " mean_list.append(np.mean(arthur_cell_count[i]))\n", + "norm_list = []\n", + "for i in np.arange(len(arthur_cell_count)):\n", + " norm_list.append(mean_list[i]/arthur_sig_cluster_count[i])\n", + "arthur_head_dir_plot = norm_list\n", + " \n", + "matplotlib.rcParams.update({'font.size': 20})\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 0\n", + "plt.rcParams['ytick.major.width'] = 2\n", + "\n", + "fig, ax = plt.subplots()\n", + "fig.set_size_inches(14,8)\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.spines['bottom'].set_color('black')\n", + "ax.spines['left'].set_color('black')\n", + "ax.spines['bottom'].set_linewidth(2)\n", + "ax.spines['left'].set_linewidth(2)\n", + "\n", + "t_ax = sns.boxplot(x=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(2,len(tonks_head_dir_plot)),\n", + " np.repeat(3,len(ginny_head_dir_plot)),\n", + " np.repeat(4,len(ron_head_dir_plot)),\n", + " np.repeat(5,len(molly_head_dir_plot)),\n", + " np.repeat(6,len(arthur_head_dir_plot)),\n", + " ]), \n", + " y=np.concatenate([pippin_head_dir_plot,\n", + " tonks_head_dir_plot,\n", + " ginny_head_dir_plot,\n", + " ron_head_dir_plot,\n", + " molly_head_dir_plot,\n", + " arthur_head_dir_plot,\n", + " ]), \n", + " hue = np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(1,len(tonks_head_dir_plot)),\n", + " np.repeat(1,len(ginny_head_dir_plot)),\n", + " np.repeat(1,len(ron_head_dir_plot)),\n", + " np.repeat(1,len(molly_head_dir_plot)),\n", + " np.repeat(1,len(arthur_head_dir_plot)),\n", + " ]),\n", + " #capsize=0.1,errcolor='black',\n", + " linewidth=2, #facecolor=(1, 1, 1, 0),\n", + " palette=['grey'],\n", + " zorder=2,showfliers=False,showcaps=False,)\n", + " #showmeans=True,meanline=True,meanprops=dict(color='r'))\n", + "\n", + "for patch in t_ax.patches:\n", + " patch.set_alpha(0.5)\n", + " \n", + "ax.get_legend().remove()\n", + " \n", + "#plt.ylim(0,10)\n", + "plt.title('All rats: normalized cell fraction per reward')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 353, + "id": "3d781cfa", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0.10286518 0.12736826 0.13753607 0.10287165 0.1033957 0.13320801]\n" + ] + } + ], + "source": [ + "print(np.array([np.mean(pippin_head_dir_plot),np.mean(tonks_head_dir_plot),\n", + " np.mean(ginny_head_dir_plot),np.mean(ron_head_dir_plot),\n", + " np.mean(molly_head_dir_plot),np.mean(arthur_head_dir_plot)]))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1b790c26", + "metadata": {}, + "outputs": [], + "source": [ + "# Figure S6D - place field remapping" + ] + }, + { + "cell_type": "code", + "execution_count": 196, + "id": "0a00535e", + "metadata": {}, + "outputs": [], + "source": [ + "# place field re-mapping plot\n", + "\n", + "#remapping_plot_dict = {}\n", + "#remapping_plot_dict['1'] = pippin_head_dir_plot\n", + "#remapping_plot_dict['2'] = pippin_content_plot\n", + "#remapping_plot_dict['3'] = tonks_head_dir_plot\n", + "#remapping_plot_dict['4'] = tonks_content_plot\n", + "#remapping_plot_dict['5'] = ginny_head_dir_plot\n", + "#remapping_plot_dict['6'] = ginny_content_plot\n", + "#remapping_plot_dict['7'] = ron_head_dir_plot\n", + "#remapping_plot_dict['8'] = ron_content_plot\n", + "#remapping_plot_dict['9'] = molly_head_dir_plot\n", + "#remapping_plot_dict['10'] = molly_content_plot\n", + "#remapping_plot_dict['11'] = arthur_head_dir_plot\n", + "#remapping_plot_dict['12'] = arthur_content_plot\n", + "\n", + "# load\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/remapping_plot_dict.pkl', 'rb')\n", + "remapping_plot_dict = pickle.load(fileObj)\n", + "fileObj.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 197, + "id": "143bd898", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "08-Dec-24 22:53:07 Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n", + "08-Dec-24 22:53:07 Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# find code to make bar plot\n", + "# two bars for each rat: target and center\n", + "# makes nice bar plot\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patches\n", + "\n", + "matplotlib.rc('xtick', labelsize=24) \n", + "matplotlib.rc('ytick', labelsize=24) \n", + "matplotlib.rcParams.update({'font.size': 20})\n", + "\n", + "# can plot either arm_end or arm_base\n", + "# say whether you are including rewards or not (yes or no)\n", + "\n", + "sns.set_style(\"ticks\", {'axes.grid' : False})\n", + "\n", + "#sns.set_style({'axes.facecolor':'white'})\n", + "\n", + "# note: use head_dir for center and content for target\n", + "\n", + "pippin_head_dir_plot = remapping_plot_dict['1']\n", + "pippin_content_plot = remapping_plot_dict['2']\n", + " \n", + "tonks_head_dir_plot = remapping_plot_dict['3']\n", + "tonks_content_plot = remapping_plot_dict['4']\n", + "\n", + "ginny_head_dir_plot = remapping_plot_dict['5']\n", + "ginny_content_plot = remapping_plot_dict['6']\n", + " \n", + "ron_head_dir_plot = remapping_plot_dict['7']\n", + "ron_content_plot = remapping_plot_dict['8']\n", + " \n", + "molly_head_dir_plot = remapping_plot_dict['9']\n", + "molly_content_plot = remapping_plot_dict['10']\n", + " \n", + "arthur_head_dir_plot = remapping_plot_dict['11']\n", + "arthur_content_plot = remapping_plot_dict['12']\n", + " \n", + "matplotlib.rcParams.update({'font.size': 20})\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 0\n", + "plt.rcParams['ytick.major.width'] = 2\n", + "\n", + "fig, ax = plt.subplots()\n", + "fig.set_size_inches(18,10)\n", + "\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.spines['bottom'].set_color('black')\n", + "ax.spines['left'].set_color('black')\n", + "ax.spines['bottom'].set_linewidth(2)\n", + "ax.spines['left'].set_linewidth(2)\n", + "\n", + "\n", + "swarm_ax = sns.stripplot(x=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(1,len(pippin_content_plot)),\n", + "\n", + " np.repeat(6,len(tonks_head_dir_plot)),\n", + " np.repeat(6,len(tonks_content_plot)),\n", + "\n", + " np.repeat(7,len(ginny_head_dir_plot)),\n", + " np.repeat(7,len(ginny_content_plot)),\n", + "\n", + " np.repeat(8,len(ron_head_dir_plot)),\n", + " np.repeat(8,len(ron_content_plot)),\n", + "\n", + " np.repeat(9,len(molly_head_dir_plot)),\n", + " np.repeat(9,len(molly_content_plot)),\n", + "\n", + " np.repeat(10,len(arthur_head_dir_plot)),\n", + " np.repeat(10,len(arthur_content_plot)),\n", + "\n", + " ]), \n", + " y=np.concatenate([pippin_head_dir_plot,\n", + " pippin_content_plot,\n", + "\n", + " tonks_head_dir_plot,\n", + " tonks_content_plot,\n", + "\n", + " ginny_head_dir_plot,\n", + " ginny_content_plot,\n", + "\n", + " ron_head_dir_plot,\n", + " ron_content_plot,\n", + "\n", + " molly_head_dir_plot,\n", + " molly_content_plot,\n", + "\n", + " arthur_head_dir_plot,\n", + " arthur_content_plot,\n", + " ]), \n", + " hue=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(2,len(pippin_content_plot)),\n", + "\n", + " np.repeat(1,len(tonks_head_dir_plot)),\n", + " np.repeat(2,len(tonks_content_plot)),\n", + "\n", + " np.repeat(1,len(ginny_head_dir_plot)),\n", + " np.repeat(2,len(ginny_content_plot)),\n", + "\n", + " np.repeat(1,len(ron_head_dir_plot)),\n", + " np.repeat(2,len(ron_content_plot)),\n", + "\n", + " np.repeat(1,len(molly_head_dir_plot)),\n", + " np.repeat(2,len(molly_content_plot)),\n", + "\n", + " np.repeat(1,len(arthur_head_dir_plot)),\n", + " np.repeat(2,len(arthur_content_plot)),\n", + "\n", + " ]), \n", + " palette=['grey','blue'], \n", + " #palette=['grey','silver'], \n", + " alpha=1,zorder=1,size=15,edgecolor='white',linewidth=1,dodge=True)\n", + "\n", + "t_ax = sns.boxplot(x=np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(1,len(pippin_content_plot)),\n", + " \n", + " np.repeat(2,len(tonks_head_dir_plot)),\n", + " np.repeat(2,len(tonks_content_plot)),\n", + " \n", + " np.repeat(3,len(ginny_head_dir_plot)),\n", + " np.repeat(3,len(ginny_content_plot)),\n", + " \n", + " np.repeat(4,len(ron_head_dir_plot)),\n", + " np.repeat(4,len(ron_content_plot)),\n", + " \n", + " np.repeat(5,len(molly_head_dir_plot)),\n", + " np.repeat(5,len(molly_content_plot)),\n", + " \n", + " np.repeat(6,len(arthur_head_dir_plot)),\n", + " np.repeat(6,len(arthur_content_plot)),\n", + " ]), \n", + " y=np.concatenate([pippin_head_dir_plot,\n", + " pippin_content_plot,\n", + " \n", + " tonks_head_dir_plot,\n", + " tonks_content_plot,\n", + " \n", + " ginny_head_dir_plot,\n", + " ginny_content_plot,\n", + " \n", + " ron_head_dir_plot,\n", + " ron_content_plot,\n", + " \n", + " molly_head_dir_plot,\n", + " molly_content_plot,\n", + " \n", + " arthur_head_dir_plot,\n", + " arthur_content_plot,\n", + " ]), \n", + " hue = np.concatenate([np.repeat(1,len(pippin_head_dir_plot)),\n", + " np.repeat(2,len(pippin_content_plot)),\n", + " \n", + " np.repeat(1,len(tonks_head_dir_plot)),\n", + " np.repeat(2,len(tonks_content_plot)),\n", + " \n", + " np.repeat(1,len(ginny_head_dir_plot)),\n", + " np.repeat(2,len(ginny_content_plot)),\n", + " \n", + " np.repeat(1,len(ron_head_dir_plot)),\n", + " np.repeat(2,len(ron_content_plot)),\n", + " \n", + " np.repeat(1,len(molly_head_dir_plot)),\n", + " np.repeat(2,len(molly_content_plot)),\n", + " \n", + " np.repeat(1,len(arthur_head_dir_plot)),\n", + " np.repeat(2,len(arthur_content_plot)),\n", + " ]),\n", + " #capsize=0.1,errcolor='black',\n", + " linewidth=3, #facecolor=(1, 1, 1, 0),\n", + " palette=['grey','blue'],\n", + " #palette=['grey','silver'], \n", + " #errwidth=3,\n", + " zorder=2,showfliers=False,showcaps=False)\n", + "\n", + "for patch in t_ax.patches:\n", + " patch.set_alpha(0.5)\n", + " \n", + "ax.get_legend().remove()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 293, + "id": "8b06644e", + "metadata": {}, + "outputs": [], + "source": [ + "# PCA explained variance\n", + "\n", + "# load\n", + "file_name = '/stelmo/mcoulter/coulter_all_figures/pca_explain_var_dict.pkl'\n", + "file = open(file_name,'rb')\n", + "all_rat_var_dict = pickle.load(file)\n", + "file.close()\n", + "\n", + "pippin_var_remote = all_rat_var_dict[1]\n", + "pippin_var_random = all_rat_var_dict[2]\n", + "tonks_var_remote = all_rat_var_dict[3]\n", + "tonks_var_random = all_rat_var_dict[4]\n", + "ginny_var_remote = all_rat_var_dict[5]\n", + "ginny_var_random = all_rat_var_dict[6]\n", + "ron_var_remote = all_rat_var_dict[7]\n", + "ron_var_random = all_rat_var_dict[8]\n", + "molly_var_remote = all_rat_var_dict[9]\n", + "molly_var_random = all_rat_var_dict[10]\n", + "arthur_var_remote = all_rat_var_dict[11]\n", + "arthur_var_random = all_rat_var_dict[12]" + ] + }, + { + "cell_type": "code", + "execution_count": 299, + "id": "eb4b9508", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "pippin MannwhitneyuResult(statistic=5080.0, pvalue=3.890874645497269e-05)\n", + "tonks MannwhitneyuResult(statistic=949995.0, pvalue=2.437170116352417e-98)\n", + "ginny MannwhitneyuResult(statistic=169200.5, pvalue=1.2250554209226568e-23)\n", + "ron MannwhitneyuResult(statistic=218061.0, pvalue=1.168581306774886e-17)\n", + "molly MannwhitneyuResult(statistic=284444.5, pvalue=2.7301408865696646e-30)\n", + "arthur MannwhitneyuResult(statistic=111810.5, pvalue=5.966890741117024e-11)\n" + ] + }, + { + "data": { + "image/png": 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kpFj9+YiICDZu3MiuXbuIiYkhOTmZ6tWr0717d5555hkCAwMLPG5aWhohISGMGjWKfv362eXnEkKjBfTasiTLgN5kMmU5fwphD5KhF8JOLNfPgwT0QgjP8cUXX5CYmEjTpk3p27dvltckoBfW2rlzJyNGjCAiIoKePXvi7+8PQGJiInPnzrVqjIkTJ/Ldd99RpkwZBgwYwIgRIyhdujTz58/nwQcf5OrVqwUed/jw4SQkJDB58mSrjyuEtbSGeFpA37BhQ3x8fEhMTJRrQuEQkqEXwg6yr58HzCX3iYmJXL9+nbJlyzprekIIUWgpKSl88skngMrO6/VZcwES0AtrpKenM3XqVHQ6HYsXL6ZJkyZs3ryZ5ORkvLy8mD17Nr169aJOnTr5jjNq1CgGDhxIpUqVzM+ZTCbeeustli5dypw5c3jzzTfzPS7Ac889x7Bhw6w+rhDWsmyIB+Dr60vjxo2JjIwkMjKS2rVrO3N6wgNJhl4IO9DWz9eqVct8UWAwGAgODgYkSy+EcF8LFizg8uXL1K5dm4cffjjH61pAf+PGDW7evFnc0xNuYseOHURHR9O3b19zUK0xGAykp6ezYsWKAsd5+umnswTzADqdjnHjxgGwe/duq45rMBgYN26cVceNj4+3+ctoNBb4swjPk5iYSFRUFJCZoQdkHb1wKMnQC2EHluX2lmujatWqRXx8POfOnaN58+ZOmp0QQhROeno6M2fOBOCll17Cx8cnx3sCAgLw9/cnOTmZS5cucddddxX3NIUb0KrYOnXqlOM1X1/fLO8pDG9vdUnr5eVl9XE7duxo1XHDw8MLPS9Rsuzfvx+AGjVqUKFCBfPzEtALR5IMvRB2kH39vEbW0Qsh3NkPP/zAmTNnqFixIo8//niu79HpdFJ2Lwp05swZgFzLjfV6PUFBQZw9e7bQ4//0009AZpBuzXHLli1b5OMKYSl7ub1GC+gPHjxY7HMSnk8CeiGKKLf18xrZuk4I4a6MRiPvv/8+AJMmTTI3MMtNlSpVAAnoRd6SkpIAVdGRG4PBwI0bNwo19pEjR/j8888pX748Y8aMKbbjCpFd9g73Gq1K89ixY9y6davY5yU8mwT0QhRRbuvnNZKhF0K4q7Vr13Lo0CECAgLM65PzIhl64Sznzp3jmWeeISMjg1mzZpl71wjhDFqH++wZ+qpVq1K+fHmMRiOHDx92xtSEB5M19EIUUV7r50ECeiGEezKZTLz33nsAPPvss5QrVy7f90tALwpiMBgA8syGJyUl5ZlFz0tMTAyjRo0iPj6e2bNn06FDB4ccd/v27TbNC6B///7ExcXZ/Dnhvm7dumUO1rNn6HU6HS1atOB///sfkZGROQJ+IYpCAnohimjTpk1AznJ7kIBeCOGetmzZwt9//42fnx+TJk0q8P0S0IuCaBVsZ8+epVmzZlleMxqNJCQk5AiC8nP+/Hkee+wxLl++zCeffELXrl1tPu7169etOm5hsv7Zt3cUnu/QoUNkZGRQvnx5atSokeN1y4BeCHuSs40QRZDf+nnIDOhjYmLIyMgozqkJIUShaWvnR48ebQ7W8yMBvShIaGgoAFu3bs3xWmpqKgBhYWFWjWUZzH/88cfcd999hTrutm3bbDquEPmxLLfPXrEJ0uleOE6hMvSRkZHMnj2b/fv3k5aWRkhICKNGjaJfv35WfT4iIoKNGzeya9cuYmJiSE5Opnr16nTv3p1nnnmGwMDAHJ/p1q0bMTExuY738MMP8/bbbxfmRxGiSLZv305aWlqu6+dBXeR6eXmRnp7OpUuXqF69evFPUgghbLB//37WrVuHXq/npZdesuozEtCLgoSHh1OzZk1Wr17NY489RuPGjc2vJSUl4e3tzaBBg8zPxcfHk5CQQFBQUJYMuRbMx8bG8vHHH3P//fcX6rhJSUl88cUXOY4rRGHl1hDv0CGoUgUqVMgM6A8cOIDJZMo16BeiMGwO6Hfu3MmTTz6Jj48Pffr0ISAggA0bNjB58mRiYmIYO3ZsgWNMnDiRhIQE2rZty4ABA9DpdOzatYv58+ezYcMGvv/+e8qXL5/jcwEBAYwaNSrH89lLqIQoLtr6+S5duuR6Yvby8qJ69epER0cTHR0tAb0QwuXNmDEDgKFDh1q9p7wE9KIg3t7eTJ8+nTFjxjBixAj69u1rXteekZHBpEmTqFu3rvn9ixcvZs6cOYwfP54JEyaYn3/ssceIiYmhVatWHDt2jGPHjuU4luX7czuuwWBgw4YNnD9/PsdxhSis7AF9VBS0aAHh4bBtGzRp0gS9Xs+VK1eIjY017w4iRFHZFNCnp6czdepUdDodixcvpkmTJgA899xzDBs2jNmzZ9OrV69cM5WWRo0axcCBA6lUqZL5OZPJxFtvvcXSpUuZM2cOb775Zo7PBQYGZjlJC+Fsee0/b6lWrVrmgD48PLx4JiaEEIUQFRXFsmXLAJgyZYrVn9MC+itXrpCamoqvr69D5ifcW4cOHViyZAmfffYZ69atIzk5GVDXd88++6xVY2jVmvv372f//v25vif7tWL242rVpRMnTqR///6F/4GEuCM9PZ0DBw4AmR3uDx4Ekwl27YK0NPD396d+/focO3aMyMhICeiF3dgU0O/YsYPo6GgGDx5sDuZBdRAdN24cL7zwAitWrODFF1/Md5ynn346x3M6nY5x48axdOlSdu/ebcu0rBIfH2/zZ4xGo93nITxHQevnNdIYTwjhLmbOnInRaOSBBx6gZcuWVn+ufPnyeHt7k56eTmxsLDVr1nTgLIU7a9GiBfPnzwegc+fOxMbGUrp06RzvmzBhQq5JnNwy8rYeVwh70/aXNxgMhISEAKCtFE5PV9n6xo3V76EW0Pfo0cOJMxaexKaAXgteOnXqlOO1jh07ZnlPoSbjrabj5eWV6+upqamsXLmS2NhYAgMDadOmDY0aNbJqbMmMCnvT1s/XrFkz33I9CeiFEO7g4sWLfPPNNwC8+uqrNn1Wr9dTpUoVzp8/z8WLFyWgF0KUKFq5fcuWLc07HJw/n/n64cOZAf3y5cs5ePCgM6YpPJRNAf2ZM2cAqF27do7XypYtS1BQEGfPni30ZH766Scg8+ZAdnFxcTlKAO+55x4++OCDQm0pIkRR5Lf/vCUtoD937lxxTEsIIQrl888/JzU1lY4dO3LPPffY/PmqVauaA3ohhChJLDvcayx7eR8+DA8+CM2bNwek072wL5sC+qSkJEA1p8uNwWDg0qVLhZrIkSNH+PzzzylfvjxjxozJ8frgwYMJCwsjJCQEX19fTp48yZw5c9i8ebO5VF+6RYriZM36eZAMvRDC9RmNRhYuXAjA888/X6gxpDGeEKKkyq3DffaAHjI73R8+fJi0tDR8fHyKbY7Cc7nEPvTnzp3jmWeeISMjg1mzZuWabR8/fjxhYWEEBwdjMBho2bIl8+bNo23btuzbt49NmzY5YeaipLJ2/TxgLj2VgF4I4ao2b95MdHQ0ZcuWLXSTMC2gL+yNfSGEcEcmk8kc0Ftm6LOX3IOqcg4ICCA1NZXjx48X5zSFB7MpQ28wGADM24xkl5SUlGf2Pi8xMTGMGjWK+Ph4Zs+eTYcOHaz+rF6vZ/DgwezZs4e9e/fmG1ht377dpnkB9O/fn7i4OJs/JzyftevnITNDf/XqVW7evEmZMmWKY4pCCGE1LTs/ZMgQSpUqVagxJEMvhCiJTp8+zfXr1/H19TU3DTeZsmbojx1TzfG8vfU0b96cv//+m8jISJo2beqkWQtPYlOGXtuOLrd18tevXychISHX9fV5OX/+PI8++iiXL1/mk08+oWvXrrZMB4CgoCAAUlJS8n1fcHCwzV9aUwshsrN2/Tyo/hLajS5ZRy+EcDUpKSn8+OOPADz66KOFHkcCeiFESaRl55s1a2Yuob92De7syoifH9y+DadPq39rZfeyjl7Yi00Ra2hoKABbt27N8dq2bdsACAsLs2qs8+fP89hjj3H58mU+/vhj7rvvPlumYqb9n6F69eqF+rwQhWHt+nlQWzLKOnohhKv69ddfSUxMpFatWrnuYmMtbU9lCeiFECVJfg3xgoNBS8JnX0cvAb2wF5sC+vDwcGrWrMnq1as5cuSI+fmkpCS++OILvL29GTRokPn5+Ph4Tp48mWMPeC2Yj42NZdasWdx///35HjcqKorExMQcz0dERLBgwQJ8fX1lL0dRbJKTk61eP6+RTvdCCFellduPHDmySJVpkqEXQpREuTXE09bPV68Od6rwJaAXDmPTGnpvb2+mT5/OmDFjGDFiBH379sVgMLBhwwbOnz/PpEmTsqwnXrx4MXPmzGH8+PFMmDDB/Pxjjz1GTEwMrVq14tixYxw7dizHsSzfv27dOubPn094eDjVq1fH19eX48ePs23bNvR6PW+99RbVqlUrzM8vhM1sWT+vkQy9EMIVXb58md9++w0oWrk9ZAb0sbGxGI1GWbYmhCgR8utwX6NGzoC+WbNmgEpwxsfHy9bboshsCugBOnTowJIlS/jss89Yt24daWlphISEMHHiRKs748bc+S3fv38/+/fvz/U9lgF9+/btOXnyJIcPH2bXrl2kpqZSvnx5evfuzejRo813uoQoDlq5fZcuXazeKlECeiGEK/r+++/JyMigXbt2NGrUqEhjVa5cGZ1OR3p6OleuXKFSpUp2mqUQQrimixcvcunSJfR6fZZ4RAvoc8vQly1bljp16nDmzBkOHjxIly5dinnWwtPYHNCDKhWZP39+ge+bMGFClsBck1tGPj9hYWFWr80XwtFsWT+vka3rhBCuSCu3L2p2HsDHx4cKFSoQFxfHxYsXJaAXQng8LTvfsGHDLLsYaSX3lhn6I0fAaAS9XsVSEtALe5F6OCFskJyczM6dOwHbAnrJ0AshXM3Ro0eJiIjAy8uLYcOG2WVMWUcvhChJctt/HrJm6OvWVZ3uU1JA2yisefPmgKyjF/YhAb0QNtDWz9eoUYN69epZ/TnLpngmk8lR0xNCCKtp2flevXrZLZsuAb0QoiTROtxbrp+HrE3xvL2hYUP1b2mMJxxBAnohbGDL/vOWqlevjk6n4/bt28TFxTlodkIIYR2j0ciiRYsA+5TbaySgF0KUJLk1xIOsTfEg7073Bw8exGg0OnyewrNJQC+EDQqzfh7A19fXfKErZfdCCGfbsmUL0dHRBAYGWt3Q1hoS0AshSoqEhAROnz4NZA3oU1Lg6lX1uHp19T17QB8SEkKpUqVITk7m1KlTxTVl4aEkoBfCSoVdP6+RdfRCCFehlds/9NBDlC5d2m7jSkAvhCgptJ266tSpQ1BQkPn5CxfU99KlQXs6e0Dv7e1N06ZNASm7F0UnAb0QVirs+nmNdLoXQriClJQUli9fDti33B4koBdClBwFldtXrw7a6kzLgF5rpSTr6IW9SEAvhJUKu35eIxl6IYQrWLVqFYmJidSqVYvOnTvbdWwtoL906ZJdxxVCCFejNcTL3uHecss6TUiIao6XlJT5ugT0wl4koBfCSoVdP6+RgF4I4Qq0cvtHHnkEvd6+lwGWGXrZ0UMI4cmsydBrfHygQQP1WDrdC3uTgF4IKxR1/Txk3bpOCCGcIS4ujt9++w2wf7k9QJUqVQBV1p+YmGj38YUQwhUkJydz9OhRIO8MvWVADznX0Wt70Z88eZKkpCSHzVV4PgnohbDCjh07SEtLo3r16oVaPw+SoRdCON/3339Peno6bdu2pXHjxnYf39/fn8DAQEDW0QshPFdkZCRGo5HKlSubK5M02bes02QP6CtWrGj+7D///OPI6QoP5+3sCQjhDoq6fh4yA/pLly5x+/Zt/Pz87DU94UIiIyOZPXs2+/fvJy0tjbS0NJs+f/XqVX788Uf++ecfDh06RMydK4Njx47l+Zlu3bqZ35fdww8/zNtvv23THITn0srtHZGd11StWpXExEQuXrxIo0aNHHYcIYRwlrzK7SH3knvIGdCDKru/ePEikZGRtG/f3hFTFSWABPRCWKGo6+cBypcvT+nSpUlJSeH8+fPcdddd9pmccBk7d+7kySefxMfHhz59+hAQEMC3334LwM2bN60aIyoqilmzZqHT6ahdu7b5d6YgAQEBjBo1KsfzzZo1s+2HEB7r2LFj7N69Gy8vL4YPH+6w41StWpVjx45Jhl4I4bG0gD57uT3k3hQPcna61+lU2f369etlHb0oEgnohSiAPdbPA+h0OmrWrMnx48eJjo6WgN7DpKenM3XqVHQ6HYsXL6bJnb/cq1atIi4ujqSkJM6cOUOdOnXyHeeuu+5i0aJFNG7cGIPBQK9evTh9+nSBxw8MDGTChAn2+FGEh1q0aBEAPXv2pFKlSg47jmxdJ4TwdFqH++wZ+owM0E592TP0DRqAXg/XrsGlS1C1qjTGE/YhAb0QBdixYwepqalUr169yEF4rVq1zAG98Cw7duwgOjqawYMHm4N5IEsX8RUrVvDiiy/mO06FChWoUKGCw+aZm/j4eJs/YzQaHTAT4ShGo9Ec0Duy3B4koBdCeLa0tDQOHjwI5AzoY2NVUO/lBXd6hJr5+ant644fV1n67AG9yWQq9LJOUbJJQC9EAeyxfl4jne49165duwDo1KlTge9xhNTUVFauXElsbCyBgYG0adPG6vXL4eHhDpuXcA3btm3jzJkzBAQEMGDAAIceSwJ6IYQnO3LkCKmpqZQtWzZHo2Rt/XyVKiqoz65Jk8yAvnt3aNSoEd7e3ly7do3z589Ts2bNYvgJhKeRgF6IAuzZsweAjh07Fnks6XTvuc6cOQNA7dq1c31dp9Nx9uxZhx0/Li6OKVOmZHnunnvu4YMPPiA4ONhhxxXuQWuG99BDD1G6dGmHHksCeiGEJ9PK7Vu1apUj0ZPXlnWaJk3g558zG+P5+fnRqFEjDh06RGRkpAT0olBk2zohCnD58mUAamTvblIIEtB7Lm0P2YCAgFxf1+v13LhxwyHHHjx4MAsXLmT79u3s2bOHZcuW0blzZ7Zs2cK4ceMwmUwOOa5wD7du3WLZsmWA48vtQQJ6IYRny68hXl5b1mny6nQPso5eFJ4E9EIUQAvo7dFESgJ64Qjjx48nLCyM4OBgDAYDLVu2ZN68ebRt25Z9+/axadMmZ09RONHq1au5fv06NWvWpEuXLg4/ngT0QghPVpgt6zQS0AtHkJJ7IQoQFxcHQMWKFYs8llZKFR0dLc1PPIzBYADIMwtvNBopW7Zssc1Hr9czePBg9uzZw969e/PdoWH79u02j9+/f3/z/zeEa9PK7R955JEsTRodRQvor1+/TkpKisNL/IUQorgYjcZ8A/q8tqzTNGyotqu7cgXi4qBiRQnoRdFJQC9EPm7evGneA9yeAf3NmzdJSEiQtc0eRNuO7uzZs7nu/W4ymfJcX+8oQUFBAAXuY1+Y38PiCAxF0V25coW1a9cCxVNuD1C2bFlKlSrFrVu3uHjxYo6mUUII4a5OnjxJUlISpUqVyrXxbEEZen9/qFsXTp1SWfouXTID+mPHjnH79m38/PwcNX3hoeSKTIh8aOX2pUqVMmdgi6J06dLmGwPS6d6zhIaGArB169Y83xMWFlZc0wEy7/ZXz+vKQni8H374gfT0dNq0aZNlO0VH0ul05iz9pUuXiuWYQghRHLTsfIsWLfD2zpkXLShDDznL7qtVq0ZwcDAZGRkcOXLEntMVJYQE9ELkw7Lc3l7l8bKO3jOFh4dTs2ZNVq9eneUPsuV+7YMGDTI/jo+P5+TJk4XaA95SVFQUiYmJOZ6PiIhgwYIF+Pr60qNHjyIdQ7gvrdy+uLLzGllHL4TwRFqH+9zK7U2mgjP0kDOg1+l0NG/eHJCye1E4UnIvRD7suX5eU6tWLfbs2SMBvYfx9vZm+vTpjBkzhhEjRtC3b18MBoM5YC9Tpgx169Y1v3/x4sXMmTOH8ePHM2HChCxjWW4/p/0OWj738ssvm8vk161bx/z58wkPD6d69er4+vpy/Phxtm3bhl6v56233qJatWoO+7mF6zp+/Dg7d+7Ey8uL4cOHF+uxJaAXQnii/DrcX7sGycnqsS0BPaiM/6ZNmySgF4UiAb0Q+dBK7u0d0INk6D1Rhw4dWLJkCZ999hnr1q0jLS3NXNlhy5KNlStX5vvc+PHjzQF9+/btOXnyJIcPH2bXrl2kpqZSvnx5evfuzejRo81r80TJs2jRIgB69OhB5cqVi/XYEtALITyNyWTKN0OvZeeDgyG/XqDS6V7YmwT0QuRDy47aY8s6jWWne+F5WrRowfz5883/7ty5M7GxsTneN2HChByZec2xY8esPl5YWFixr80Xrs9kMpkD+uIutweoUqUKIAG9EMJzxMTEcOXKFby8vMwl8llfV98Laluj9dK7dAni49UNAAnoRVHIGnoh8uGoknuQgF4I4Tjbtm3j9OnTBAQEMGDAgGI/vmTohRCeRiu3b9KkCaVKlcrxujUN8QACAuDOpSBay52mTZui0+mIjY3NNQkgRH4koBciH44suZcu90IIR/n+++8BePDBB/H39y/240tAL4TwNPmV24P1GXrIWXZfpkwZQkJCADh48GCR5ilKHgnohciHI0rutYA+JiaG9PR0u40rhBCav//+G4C+ffs69DiXLsGoUXDgQNbnJaAXQnia/BriQWaGvjABPUjZvSg8CeiFyIcjSu4rV66Mj48PRqORCxcu2G1cIYQASElJMWd4QkNDHXqsmTPhu+/grbeyPq8F9HFxcXLjUgjhEbSAvqAMfUEl9yABvbAvCeiFyIcjSu71er00xhNCOMz+/ftJT0+nUqVK5nONo2zYoL5HRGR9vmLFinh5eWEymWQ9qBDC7V29etV8zdaqVatc31OUknvIDOil5F7YqlBd7iMjI5k9ezb79+8nLS2NkJAQRo0aRb9+/az6fEREBBs3bmTXrl3ExMSQnJxM9erV6d69O8888wyBgYEOOa4QtnJEyT2osvtTp05JQC+EsLvdu3cDKjuvbZvoCBcuwKFD6vG5cxAXB9q9T71eT+XKlblw4QIXL16kujVXuEII4aL2798PQEhISJ5xirVN8QAaN878TGIiBAZmBvT//PMP6enpeHvLZmTCOjZn6Hfu3MmIESOIiIigZ8+eDB8+nISEBCZPnszcuXOtGmPixIl89913lClThgEDBjBixAhKly7N/PnzefDBB7l69apDjiuELW7evElKSgpg3ww9yNZ1QgjHsQzoHen337P+e8+erP+WdfRCCE9x6tQpABo2bJjr67dugRa+WHP/slw5qFZNPdY63depUweDwcDt27c5ceJEEWcsShKbbv2kp6czdepUdDodixcvpsmdepHnnnuOYcOGMXv2bHr16kWdOnXyHWfUqFEMHDgwS9bTZDLx1ltvsXTpUubMmcObb75p9+MKYQut3N7Pzw+DwWDXsaXTvRDCUbSAPiwszKHHyR7QR0RAr16Z/5aAXgjhKbQEjHb9lp1Wbl+6NAQFWTdmkyaq0unwYWjfXlU2NWvWjB07dhAZGUljLY0vRAFsytDv2LGD6Oho+vbtaw6qAQwGA+PGjSM9PZ0VK1YUOM7TTz+do4RZp9Mxbtw4IPNixJ7HjY+Pt/nLaDQW+LMIz2VZbm/vslXZi14I4QjXr1/n2LFjgGMz9EZjZkCvbXOfV4b+0qVLDpuHcD+RkZE89dRThIaGmvsraNVw1rh69Srz5s3j+eefp1u3bjRs2DDPrKnG8n3Zv6ZNm1akn0eUDFoCJq++JJbr5629ZJTGeMJebMrQ79q1C4BOnTrleK1jx45Z3lOoydxZK+Ll5WX344aHhxd6XqJkckSHe40E9EIIR9hzJ6quU6cOFSpUcNhxIiPh8mUoUwbGj4dffpGSe1GwnTt38uSTT+Lj40OfPn1Ys2YNycnJJCYmMnfuXMaOHVvgGFFRUcyaNQudTkft2rUpXbq0VTcEAgICGDVqVI7nmzVrVqifRZQsBWXobdmyTiMBvbAXmwL6M2fOAFC7du0cr5UtW5agoCDOnj1b6Mn89NNPQGaQXlzHFSI3EtALIdxNca2f17rbd+2qSkV1OtUY7/Jl0ArwJKAXlnJbPrl582aSk5Px8vKyevnkXXfdxaJFi2jcuDEGg4FevXpx+vTpAo8fGBjIhAkT7PTTiJLG2gy9NQ3xNBLQC3uxqeQ+KSkJUHc5c2MwGLhx40ahJnLkyBE+//xzypcvz5gxY4rtuELkRVtDb+8O95D5B+HatWskJibafXwhRMlU3A3xevSAgABo0ED92zJLLwG9sJTX8klQ13HWLtusUKECoaGhdu9tkx9ZtlmymUwmc0Bf0Br6wmToz5yBmzfV46ZNmwIq4aPFP0IUxCX2Qzh37hzPPPMMGRkZzJo1i+DgYGdPSQiHZugDAgIoV64c165d49y5c+YTuBBCFEVxBPTJybBli3rco4f63rYtHDumAvoHHlDPSUAvLOW3fNLX1zfLexwhNTWVlStXEhsbS2BgIG3atKFRo0ZWfVaWbZZscXFx3L59G51Ol+cWnLZsWacpX15VNF2+DEePqvNocHAwFStWJC4ujuPHj9OmTRs7/ATC09kU0Gt3Q/PKhiclJeWZRc9LTEwMo0aNIj4+ntmzZ9OhQweHHHf79u02zQugf//+5qBOlDyODOhB3eWVgF4IYS+xsbFER0ej0+lo27atw46zZQvcvg01a2Zm5tu1gyVLsmboq1SpAqimeCaTye7NRYV7yW/5pF6vd/jyybi4OKZMmZLluXvuuYcPPvhAEkkiX9ryyKpVq+Lj45PrewqToQeVpb98WZXda6fthg0bEhcXx7FjxySgF1axqeReW9eU2wn3+vXrJCQk5Hqizsv58+d59NFHuXz5Mp988gldu3Z12HGDg4Nt/tLrbfrPIzyMI0vuQdbRCyHsS8vON2rUyOab67awLLfXYnTtQjQiIvN9WkCflpbGVW2DZlFiOXP55ODBg1m4cCHbt29nz549LFu2jM6dO7NlyxbGjRuHyWRyyHGFZyho/TwULkMPua+j1ypHjh49attgosSyKWLVSvi2bt2a47Vt27YB1u97e/78eR577DEuX77Mxx9/zH333VcsxxXCWsWRoQcJ6IUQ9lHcDfG0cnuA1q1VcH/+vMo2gSqjLl++PCBl98K5xo8fT1hYGMHBwRgMBlq2bMm8efNo27Yt+/btY9OmTc6eonBhBXW4z8gA7RRXmAw9ZA3otW0YtS1IhSiITSX34eHh1KxZk9WrV/PYY4/RuHFjQN11/eKLL/D29mbQoEHm98fHx5OQkEBQUFCWciYtmI+NjeXjjz/m/vvvt+txhbAHCeiFEO5EC+gdeYP74kU4eFAF7927Zz4fEAANG6p1oNnX0V+9epWLFy/SvHlzh81LuD5HLNssCr1ez+DBg9mzZw979+7l3nvvzfO9smyzZCsoQx8bq4J6vR4qV7ZtbMnQC3uwKaD39vZm+vTpjBkzhhEjRtC3b18MBgMbNmzg/PnzTJo0ibp165rfv3jxYubMmcP48eOzbBXy2GOPERMTQ6tWrTh27Fiud6As32/rcYWwB63kXgJ6IYSrM5lMxZKh18rt27ZVDZ0stW2rAvqIiKwB/aFDhyRDL7Isn8y+97vRaCQhIYHWrVsX65yCgoIACtzHvjBr7GXZpucoKEOvrZ+vWhW8bWw3rgX0J09CSgqULp2ZoT9+/DhGo1F+l0SBbO5y36FDB5YsWcJnn33GunXrSEtLIyQkhIkTJ9K/f3+rxoi585u/f/9+9u/fn+t7su8Vao/jCmGtmzdvmv/AO2oNvXanVwJ6IURRnT17litXruDj40PLli0ddhzL9fPZtW0LixfL1nUid6GhocybN4+tW7fSp0+fLK+lpqYCxb98UtvrO6/O5UKA9XvQF+bXqFIlCA6G+Hi1U0irVlC3bl18fHxISUnh3LlzNvUnEyVTobata9GiBfPnzy/wfRMmTMgRmEPh14RYe1whikork/Pz83PYXrfand7z58/LHVghRJFo2fkWLVrg5+fnkGMYjQUH9CABvchdXssnQZXbW7ts01ZRUVFUqlSJwMDALM9HRESwYMECfH196ZHbL7QQdxS0B31hG+KBWr7UpAls3arK7lu1UpXJISEhHDlyhGPHjklALwrkEvvQC+FqLMvtHbXVUrVq1dDr9aSlpREbG2u+8BVCCFsVR7n9wYNqrWiZMpDbttyWjfFiY9VaUgnohSa35ZPaevqMjAyrl20CWbaf027AWz738ssvm28CrFu3jvnz5xMeHk716tXx9fXl+PHjbNu2Db1ez1tvvUW1atUc9nML95aWlsaFCxcAx2ToIWtAr2nUqBFHjhzh6NGjcsNJFEgCeiFyoV0gOKrcHtTFTfXq1Tl37hzR0dES0AshCm3Xrl2AYwN6rbv9vfeCr2/O17M3xuvdWwJ6kVX25ZPJyckABAYG8uyzz1o9zsqVK/N9bvz48eaAvn379pw8eZLDhw+za9cuUlNTKV++PL1792b06NG0aNGiiD+V8GQXLlzAZDLh6+ubZ0+lomToQTrdi6KTgF6IXDi6w72mVq1a5oC+ffv2Dj2WEMIzZWRksOdOnXtxNMTLL1mkNcbLHtBfunTJYfMS7sVy+WTnzp2JjY2ldOnSOd6X17JNsC3ICQsLk62NRaFpfY5q1qyZ59JIe2ToQTrdi8KTRbtC5MLRHe410uleCFFUx44dIykpCX9//yzrku0pJQU2b1aP8wvo27VT37V19JKhF0K4s4Ia4oH9AvqoKLh9Wz2WDL2whQT0QuSiOEruQQJ6IUTRaevn27Rpg7eteyZZacsWdaFZo4Yqq8+L1hgvIkJ91wL6mzdv5rn/uBBCuKqCtqwzmYpecl+tGgQGqr3sT5xQz2kBfUxMjJw7RYEkoBciF8VVci9b1wkhikoL6B1ZVqytn+/RQzW+y4vWGC8mRmugV4aAgABAsvRCCPdTUIb++nW40wqi0Bl6rdM9ZJbdBwUFmZNKx48fL9zAosSQgF6IXBTnGnrI/IMhhBC2Ko4O99asnwcwGODO0k8puxdCuL2CMvRadj44GHJpBWE1WUcvikICeiFyoa2hl5J7IYQrS01NZf/+/YDjAvqLFyEyUmWRuncv+P3Z96OXgF4I4a4KytAXdf28Rjrdi6KQgF6IXBR3hj4uLo6UlBSHHksI4XkOHjxIamoqwcHB1KtXzyHH2LhRfW/TBipUKPj92dfRV6lSBZCAXgjhfqzN0DsioJcMvbCWBPRC5KK4Avpy5cphMBgAKbsXQthO23++Xbt26PJb3F4EluvnrSEZeiGEJ0hKSiIhIQEoOENf2IZ4Gi2gP34c0tLUY8nQC2tJQC9ENjdv3iT5TocTR5fc63Q6KbsXQhSao9fPm0zWr5/XWDbGu3RJAnohhHvSEi1ly5YlMDAw1/fYq+S+Zk0oU0YF8ydPque0DP3x48cxGo1FO4DwaBLQC5GNlp338/MzZ88dSTrdCyEKy9EB/cGDqlu9vz+Eh1v3meyN8SSgF0K4I2v2oC/qlnUavR4aN1aPtbL7OnXq4Ovry61bt+QaUeRLAnohsrEst3dUCasl6XQvhCiMmzdvcvjOlZ+jAnqt3P7ee8HPz/rPWZbdS0AvhHBHBa2fB/tl6CHnOnovLy/q168PyDp6kT8J6IXIRutw7+j18xopuRdCFMbevXsxGo1Uq1aNatWqOeQYtq6f17Rrp75LQC+EcFfFmaEH6XQvCk8CeiGy0TL0jl4/r5GAXghRGFq5fVhYmEPGT0mBLVvU4/vvt+2zuWXoExISuHXrlh1nKIQQjqMF9Hll6G/dgqtX1WNHZOhBOt0L60hAL0Q2xdXhXiMBvRCiMBy9fn7rVnXBWr165tpOa7VqldkY7/btIPzu1OtfunTJ/hMVQggH0K7LCupwX6oUBAUV/XhaQH/0KGRkqMeSoRfWkIBeiGycWXJvMpmK5ZhCCPfn6IDestze1nYiBkPmTYC9e3XmvegloBdCuIuCSu4tt6yzR8ulOnXUzYHbt+H0afWcZOiFNSSgFyKb4i65r36nTuvWrVtcuXKlWI4phHBvV69e5eSdvY3aaQvW7ayw6+c10hhPCOGuTCZTgU3x7NkQD8DLK3OHEK3sXsvQX7x4kcTERPscSHgcCeiFyKa4S+79/PzM2SvpdC+EsEZERAQAISEhBNmj1jObS5cgMlI97t69cGNoAX1EhAT0Qgj3cvXqVXPPj+p5ROz2bIinyb6OvmzZsuZrRCm7F3mRgF6IbIq75B5kHb0QwjaOLrffuFF9b9MGCnsqlAy9EMJdaddjVapUMfcAyc7eGXqQTveicCSgFyKb4i65BwnohRC2Kc7184XVqhXo9XDhAhgMIYAE9EII91DcW9ZppNO9KAwJ6IXIJnvJfWoq/PMPOLJfnQT0QghbODKgN5ng99/V46IE9AZD5nrQW7eaAhLQCyHcQ0Hr58ExGfqm6lTJP/9AcrJ6LBl6URAJ6IWwcPPmTZLvnEG1gH7iRGjWDLp2hX37HHNcCeiFENaKiYnh4sWL6PV6WrdubffxDx1Sa+j9/eHuu4s2llZ2f+VKHUACeiGEe7AmQ++IgL5+fahdW20Zqi190gJ6ydCLvEhAL4QFLTvv5+dHQEAAoBo6AWzapC5On3oKYmPte1wJ6IUQ1tKy882aNaNMmTJ2H18rt+/SBfJYOmo1rQH/+fNqCZME9EIId1BQhj4jQy0nAvuW3Ot00L+/evzLL+q7VnJ/4sQJMrQN6oWwIAG9EBYsy+11dzYVPXNGvda1qypFnT9f3UH94AO1V6g9aHeApcu9EKIg7rB+XqNl6I8fVzdIL1++LBekQgiXV1CG/vJlFdTr9VC5sn2PPWCA+r5qlTpG7dq18fPz4/bt25w9e9a+BxMeQQJ6ISxkXz+flATa1vArVsC2bRAaCjduwCuvqOYlK1YUfX29dgf44sWLpKamFm0wIYRHc2RAf+sWbN6sHt9/f9HH0xrjXbrkhU5XDaPRaN5JRAghXFVBGXqtIV7VquDtbd9jd+4M5cpBXBzs2AFeXl7Ur18fkHX0IncS0AthQbvQ1DrcazdCy5VTX3ffrU6u330H1arBqVPw4IPQrRvs31/441asWBE/Pz9MJhMx2qIsIYTIxmQyOTSg37pVBfXVqmV2Wy6KMmWgcWP1uGzZboCU3QshXFt6ejoX7tTT55Whd8T6eY2PD/TurR5rZfeyjl7kRwJ6ISxkz9Br5fZ16mS+R6+HRx+FY8fgjTegVCn46y+1X/PTTxdufb1Op5N19EKIAkVFRXHt2jX8/Pxo3ry53ce3LLe/s+qoyLSy+1KlOgIS0AshXNuFCxcwGo34+PhQOY96ekdsWWdJK7vPvo5eMvQiNxLQC2HBmoBeYzDA22/D0aMwbJgqu//vfwu/vl4CeiFEQbTsfKtWrfDx8bH7+PZcP6/RAnqjUXXkl4BeCOHKtPXzNWrUQK/PPVRyZIYeoFcvlak/flxdZ0qGXuRHAnohLGgl99YE9JratWHpUlWq2q5d5vr6pk3hwAHrj60F9KdPny7EzIUQJYEjy+1jYzPPWd27229cLaBPSlIXpBLQCyFcmRbQF/ce9JYCA9VyTlBZesnQi/wUKqCPjIzkqaeeIjQ0lFatWvHQQw+xatUqqz9/9epV5s2bx/PPP0+3bt1o2LCh+c5TXizfl/1r2rRphfkxhMhBy9Bra+itCeg1HTvCzp3wzTeqScrJk/DAA2Btwl0rn501axb//POPbRMXQpQIjgzotT2PW7eGO6dAu9Aa4yUnlwOqcOnSJfsNLoQQdqZVSua3B72jS+4ha9m9FiddunSJ69evO+6gwi3Z3Jdx586dPPnkk/j4+NCnTx8CAgLYsGEDkydPJiYmhrFjxxY4RlRUFLNmzUKn01G7dm1Kly5NSkpKgZ8LCAhg1KhROZ5v1qyZrT+GELmypeQ+N3o9jBqlTsL33AOHDqnGJlu3qqZ6+Xn22Wf56aef2LZtG71792bHjh1UrVq1UD+HEMLzpKens3fvXsAxAf3ateq7PcvtIbMxnrpP2VYy9EIIl1bQlnXg+Aw9qP3ox41TzZhTUgKpWrUqFy9e5NixY4SFhTnuwMLt2BTQp6enM3XqVHQ6HYsXL6bJnRa4zz33HMOGDWP27Nn06tWLOgVEP3fddReLFi2icePGGAwGevXqZVWZcWBgIBMmTLBlykLYpDAl97kpV05dHHfooC5iBw+G334DX9+8P1OqVCl++eUX7r77bo4fP07fvn3ZtGkTBoPB5p9DOE9kZCSzZ89m//79pKWlkZaWZtPnr169yo8//sg///zDoUOHzLseFFRml/24ISEhjBo1in79+hX6ZxGu5fDhw6SkpBAQEFBgVZutUlNhzRr1uH9/uw4NqLJ7FdC34+LF9fY/gBBC2ElBW9aZTMWToa9eXS3ljIhQe9I3bNiQixcvcvToUQnoRRY2ldzv2LGD6Oho+vbtaw7mAQwGA+PGjSM9PZ0VK1YUOE6FChUIDQ2VQEW4HMuSe8s96GvXtn2smjXVBbLBAP/7H4wZU/B+9eXLl2fdunVUrFiRvXv38vDDD5Oenm77wYVT7Ny5kxEjRhAREUHPnj0ZPnw4pjv/o9+8edOqMbQKpg0bNuDj40Pp0qULddyEhAQmT57M3Llzi/QzCdehldu3a9cuz0ZNhbVpE1y/DpUrQ/v2dh0aUBelimTohRCuraAM/fXrkJysHjsyQw9Zy+5lHb3Ii00Z+l27dgHQqVOnHK917Ngxy3scITU1lZUrVxIbG0tgYCBt2rQx/3IXJD4+3ubjGY1Gmz8j3NfNmzdJvnOGrlixYo496AujVSv48Ufo0wcWLlSZ/rffzv8z9erVY9WqVXTt2pW1a9fy3HPPMXfuXHT22kNKOEReFUyrVq0iLi6OpKQkzpw5Y/cKJntVTgnXp/19dUS5vbY1Ur9+4OVl9+HNjfG0gN5kMsk5TQjhkgrK0GvZ+aAgsOKee5EMGKC2SN64Ef71r6aAdLoXOdkU0J+5U39cO5d0ZdmyZQkKCuKsFgU5QFxcHFOmTMny3D333MMHH3xAcHBwvp8NDw932LyEZ9Cy876+vgQEBBS63D67nj1h7lx46il45x013hNP5P+Z9u3bs3TpUgYNGsSXX35J3bp1c/zuC9eiVTANHjw4SwWTZSZ1xYoVvPjii/mOU6FCBSpUqFDk42qVUy+88EKBx5Ubnu7BUQ3xTCb4+Wf1eOBAuw5tphrjmTAaq5GaWp6EhIQC/24LIURxS05O5urVq0DeGXpt/bwjy+01zZpB3bpw+jQkJd0NSIZe5GRTQJ+UlASo5nS5MRgMDuteO3jwYMLCwggJCcHX15eTJ08yZ84cNm/ezLhx41i6dKnc7RdFYllur9Pp7BbQgyq3P3sWpk+Hp59WJVo9e+b/mQEDBvDpp5/y/PPP8+qrr1KrVi1GjBhR9MkIh8ivgin7e4rruNZWTskNT9d369YtDh48CNg/oN+zR12glilj3+3qLPn7Q5MmOg4dAi1LLwG9EMLVaOX2AQEBlC1bNtf3FEdDPI1Op7L0n3wCR47UB+DEiRNkZGTg5YhyKuGW3GYf+vHjxxMWFkZwcDAGg4GWLVsyb9482rZty759+9i0aZOzpyjcXFE73Bfk7bdh5EjIyICHHoL9+wv+zIQJE8yZ1ccff1x+z11YfhVMADqdziEVTM6unBLFY//+/aSnp1OxYsV890YuDK3cvlcvKFXKrkNnkb3sXgghXI3l+vm8EoXF0RDPkraO/q+/DPj5lSE1NdX8t18IsDGg15rY3bhxI9fXk5KS8szeO4Jer2fw4MEA5q18hCgse3W4z4tOB199BV27QlKSWld/5+9GvmbOnMmDDz5IamoqAwcO5MiRI/aZkLCrgiqY9Hp9nudORx7XYDA45LiieFmW29u7Gs3R5fYaCeiFEK6uoPXzULwZeoBOnSA4GK5e1VG9+hBA1tGLrGwqudeaKp09ezbH3u/Xr18nISGB1q1b221y1ggKCgIocB/77du32zx2//79zVlb4fksS+7B/gE9qG3rVqyAjh3h8GEV1G/ZAnlUdQEqEFy4cCEXL17k77//5oEHHmDHjh1UqVLFfhMTQrg0R62fP3kSDh1SjfB697br0DlkBvTtuHhxoWMPJoQQhWDNHvTFnaH39s5sruztPRj4hmPHjtGnT5/imYBweTYF9KGhocybN4+tW7fm+CXatm0bQLHvixgZGQlA9QJukxVmrZ69twUSrs3RJfcayz3qDx5U5fdr1uS/R33p0qXNe9SfOHGCPn36yB71LqagCiaj0ZjnejxHHteayim54en6HBXQa+X2XbqoDJAjtWoFOp0Rk6kqJ05Yt42jEEIUJ1fM0IMqu1+4EOLiVGM8ydALSzZFrOHh4dSsWZPVq1dnKftNSkriiy++wNvbm0GDBpmfj4+P5+TJk4XqoGwpKiqKxMTEHM9HRESwYMECfH196dGjR5GOIYRlQF/UPegLUru2CuLLlFFbkTz9dMF71FeoUIG1a9dSoUIF9u7dy7Bhw2SPehdiWcGUG5PJlOf6ekcdV6ucKui4wcHBNn/JDc/ic/36dXNXY3sH9MVVbg+qMV7lyup64OjRMo4/oBBC2MiaDL0zAvqePcHPDxISygNNpNO9yMKmKzJvb2+mT5+OyWRixIgRvPHGG8yYMYMBAwZw4sQJxo8fT926dc3vX7x4Mb1792bx4sU5xpoyZYr5SwukLJ+zvAmwbt067rnnHsaOHcs777zDjBkzePLJJxk5ciTp6elMmzaNatWqFfa/gRBA5hr6SpUq2WUP+oK0aQPLl6tS12+/LXh/eoCQkBBWrVpFqVKlWLNmDc8//zymgu4EiGKhBVpbt27N8z2OqGDK77jOqpwS9rVnzx7zDSFtSZA9xMXBnV8R+ve327D5atBAVZJER9vv5xBCCHspKEN/61Zmwqe4Su4BDAbLXUgGSIZeZGFziqVDhw4sWbKEtm3bsm7dOpYsWUK5cuWYOXMmzz77rNXjrFy50vylNXWyfC45Odn83vbt29O1a1dOnTrFypUrWbhwIVFRUfTu3Zvvv/+eIUOG2PpjCJGDZYbeUeX22T3wAHzxhXr8r3/BN98U/Bnt/4M6nY7//Oc/zJw505FTFFbKq4LJcr92R1Qw2Vo5JdyPo8rtV68GoxFat3ZMJVJuWrVSVUVXrhTTAYUQwkomk6nADP2FC+p7qVJwp41XsdG63cMALl++TEJCQvFOQLgsm9bQa1q0aMH8+fMLfN+ECROYMGFCrq/ZUioSFhYmGSbhcJYBvbZpgqMDelDl9mfOwHvvwVNPQUiI6mian0GDBvHxxx8zadIkXnnlFRo1akT/4kqxiVxpFUxjxoxhxIgR9O3bF4PBYA7Yy5Qpk6OCac6cOYwfPz7HeXLKlCnmx5YVTJqXX37Z3Bckr+Nu2LCB8+fPM2nSpCzHFe5n586dgHuX22vuvtuPzz6DlJTGxXdQIYSwQnx8vDmhWCOP9LtlQzw7bzhSoH794JlnANoDVTl27BgdOnQo3kkIlySLIIW4w3LbuuLK0GumT1fN8dLT4T//se4zEydO5Bl1Zuerr75y4OyEtXKrYNK2GLOlgaEtFUx5HbcwlVPC9SQlJfHbb78B0K1bN7uNe/MmbNigHmdmfRzv3nuDgAxMpipERSUX+H4hhCguWna+UqVKlCpVKtf3OGP9vKZqVWjfXvtXP1lHL8wKlaEXwtMkJyebg6RKlSoVe0Cv18OYMfDjj3AnGWeVQYMGMW/ePE6ePOm4yQmbZK9g6ty5M7GxsTneZ68KpryOKzzDL7/8QkpKCiEhIbTN3PetyH7/Xa0FrVMHWrSw27AFqlw5AJ3uECZTM/744xohIf7Fd3AhhMiHK25Zl13//tp14gCOHt3inEkIlyMZeiHILGv29fUlICCg2AN6AG1VycmTqlmVNerVqwfAqVOnpDmeEB5o6dKlAIwYMcJc7WEPluX2xV02ajCoG1Y7dqQV74GFS4iMjOSpp54iNDTUfLMzJSXF6s9fvXqVefPm8fzzz9OtWzcaNmxIw4YNbTpuq1ateOihh1i1alWhfw7heVx1yzpLmRVV3Tl0KPdddUTJIwG9EGQtt9fpdE4J6IOCoFEj9djaLH3t2rXR6/WkpKTkmgUWQrivq1evsn79egCGDx9ut3HT00GLY4qz3F5TqZK6aN6yxVDgdp3Cs+zcuZMRI0YQERFBz5498fdXFRqJiYnMnTvXqjGioqKYNWsWGzZswMfHh9KlS9t83OHDh5OQkMDkyZOtPq7wfK66ZZ2lJk2gatVkwI99+2S3EKFIQC8EmRn6SpUqOXwP+vxovU127LDu/b6+vuY/PFJ2L4Rn+emnn0hPT6dVq1Y00u722cG2bRAfD8HBBTfgdIQmTY4AyZw8WR5JkJYc6enpTJ06FZ1Ox+LFi5k+fToBAQEAeHl5MXv2bM5od9Pzcdddd7Fo0SIiIiJYv349VapUsfm4r7zyCr/88gv169e3+rjC81mToXd2yb1OB336qN1CLlwIJT093TkTES5FAnohyNrhvjj2oM+LrQE9qIsbUGX3QgjPsWTJEsC+2XnILLfv1w+8ndBJp149f+BTAF5/HTIyin8Oovjt2LGD6Oho+vbtS5MmTbK8ZjAYSE9PZ8WKFQWOU6FCBUJDQ61uNJrXcQ0GA+PGjbP6uMLzuUOGHuCRR9Tvvsn0AMePn3beRITLkKZ4QpC15F4L6Iuz3F6jBfS7dqmLXC+vgj9Tr149/vzzT8nQC+FBYmJi2Lx5MwDDhg2z27gmU2ZA74xye+BORnUGvr7Pc+hQGZYsgUcfdc5cRPHZtWsXAJ1yKQvx9fXN8p7iOm7Hjh2tOq62/agtjEajzZ8RzlVQhj4jI3Mfemdl6AE6ddLj5ZVARkYwP/98jCZN6jtvMsIlSEAvBFlL7p2xfl7TtCmUKQM3bsCRI9CsWcGfsWyMJ4TwDD/88AMmk4lOnTrlW/5pq4MH4cwZKFUKevSw27A2Udmva1StupCzZ8fy5pvw8MNwJ6YTHkora6+dy1o2vV5PUFAQZ8/av8lXfsctW7asVccNDw+3+7yEa8nIyCDmTvo9rwz95csqqNfroXLl4pxdVt7eULPmAc6cuZd163x57TXnzUW4Bim5F4KsJffODOi9vSE0VD22tjGeVnIvGXohPIfW3d5R5fY9eqibh86gbb93+fJUqlQxcfo0/Pe/zpmLKD5JSUkA5nXz2RkMBm7cuOExxxXu5eLFi2RkZODt7Z1nXwZt/XzVqs5ZrmQpLOwiAPv315bmokICeiEga8m9MwN6sH0dvWTohfAsJ06cICIiAi8vL4YMGWLXsZ1dbg/QoEEDypYtS0rKVR5/XF0hv/MO3LzpvDkJIUo2bf189erV8cpjvaMrrJ/X9OypB1JISqrAwYPOno1wNgnohSD3kvvi7nCvsTWg1zL0ly5dIjk52UGzEkIUFy07f99991GxYkW7jRsdDfv2qXLRfv3sNqzN9Ho9YWFhAFSv/ht160JsLHz6qfPmJBxPa2KXVzY8KSkpzyy6Ox5XuBd32IPeUqtW9YGNAPzyi3PnIpxP1tALgeuU3AO0b6++//MPJCZCYGD+7w8KCqJcuXJcu3aNU6dO0cyahfdCCJdkMpnMAf2IESPsOrZ20dexI9jxPkGhtG/fnt9//52IiL95552nGDkSPvgAxo5V2+kJz1Pnzh/Vs2fP5vg7ZTQaSUhIoHXr1sV63OvXr1t13O3bt9t83P79+5uvLYTrs6bDvbO3rLPUoEED4AugHytWpPPGGxLSlWSSoReCzJL7MmUqof39dVZAX6WKOrbJBLt3W/cZ2bpOCM9w4MABjh49SqlSpRg4cKBdx3aFcntN+zt3Lnfu3Mnw4dC8OVy/roJ64ZlC7zSI2bp1a47XUlNTAcyVG8V13G3btll13ODgYJu/9Hq5xHYn7pahNxgMVK26BzCyf7+3eW6iZJKzjSjxkpOTzaXqt26ptqVlyxb/HvSWCruOXhrjCeHetOx8nz59CCyoPMcGCQmwaZN67EoB/dGjR7lx4zrvvque/+yzzG2hhGcJDw+nZs2arF69miNHjmR5LSkpCW9vbwYNGmR+Lj4+npMnTxZqyzhrjpuUlMQXX3yR47iiZHK3DD1AkyblAXWh+Ouvzp2LcC4J6EWJp5XE+fr6Ehen2j47KzuvkcZ4QpQ8RqPRYd3t16xR2y01awYhIXYdulAqVqxI3bp1MZlM7N69m759ITwcUlJUgzzheby9vZk+fTomk4kRI0bwxhtvmNe1Z2RkMH78eOrWrWt+/+LFi+nduzeLFy/OMdaUKVPMX9rfcMvnLG8C5HbcGTNmMGDAAE6cOJHjuKJkcrcMPUCjRo0AtZZK1tGXbBLQixLPcv382bM6wPkBvbaOfscOrNqORLauE8L9/f3335w7d47AwEB69+5t17FdqdxeY1l2r9PB+++r5+fPBzmVeaYOHTqwZMkS2rZty7p168zVcYGBgTz77LNWj7Ny5Urzl7YtneVz2RvEZj/ukiVLKFeuHDNnzrTpuMJzFZShN5lcL6Bv2LAhWkD/55+q75IomaSDgijxXGnLOk3r1uDrC1euwKlTcCdez5Nk6IVwf1p2ftCgQZQuXdpu4966Bb/9ph7beVl+kbRv357vv/+enTt3AtC5M/TqpeY6bRrkkpgVHqBFixbMnz8fgM6dOxMbG5vr7/uECROYMGFCrmMcO3asSMcVwlJKSoo5uZNXQH/9eubWmq4S0KsM/TF8fU+TmlqX336DoUOdPSvhDJKhFyVeblvWOTug9/NTQT1YV3avZehPnz6N0Wh04MyEEI6QlpbG8uXLAfuX2//xh7oQrV4d2ra169BFYpmhN90pRfr3v9VrS5fCgQPOmpkQoiQ5f2dxfJkyZQgKCsr1PVp2PigI/P2La2b5Uxl6SE9fAUjZfUkmAb0o8VxpyzpLtqyjr1GjBt7e3qSmphIjrU6FcDt//PEHcXFxVKxYke7du9t1bMtye53OrkMXSevWrfHx8eHy5cucPXv2znMqw2QyweuvO3mCQogSwbLcXpfHSdLVGuKBuvYrXbo0RqMK6H/8EZ54Av7+27rlmsJzSEAvSjxXLLkH2wJ6b29v8167UnYvhPvRyu2HDBmCt7f9VsNlZGR2P3alcnuAUqVK0bJlSwBz2T2opnheXqqR351dxYQQwmGsaYh38KD6Xr9+cczIOnq9/k6Wfgdt2lwmNRUWLICOHaFJE/joI7hziSs8nAT0osTTMvTlylV3+h70lrSAfv9+1fm5ILJ1nRDuKSUlhZUrVwIwYsQIu469c6e6oCtbFrp0sevQdmFZdq9p0EBlmQBefVUyTUIIx7Jmy7qICPU9NLQ4ZmQ9FdAbefjhb9m6FUaPVksCjh6FyZPVUquHHoJ169QNXuGZJKAXJZ4W0Ot0dQDn70GvqV0bKleG9HTYu7fg90tjPCHc09q1a7lx4wa1atUiPDzcrmNr5fa9e6tGm66mw507l5YBPaimeH5+sGVLZkM/IYRwBGsy9FpA365dcczIeqoxHhw/foyOHVWG/uJFmDdP3XxIT4efflJ/A+rUgTffxFyNKjyHBPSixNNK7tPSVNtSV8jOg1rrakvZvWxdJ4R7WrJkCQDDhg1Dr7ffn2WTKTOgd7Vye42Wod+zZw+pqanm52vUgPHj1eNXXwXp9SmEcJSCMvQJCZlbabpSY1HIbIx39OhR83OBgfD007Brl2ou+vzzEBys+gC8/TbUqwc9esAPP8Dt286aubAnCehFiadl6FNSKgOuE9BDZkCfLXmVK8nQC+F+rl+/zpo1awD7d7c/ehROnFCZ+V697Dq03YSEhBAcHMzt27eJjIzM8tqrr6oL0wMHYNkyJ01QCOHxCsrQ79mjvt91l+py70q0DH1eWzm2aAGffqq69C9dCt27q5u9v/8Ow4ZBmzaQlFScMxaOIAG9KPG0gP76dXWWdsWA3pYMvQT0QriPn3/+mdu3b9O4cWNzgzj7ja2+d+umAmNXpNPpCAsLA3KW3Zcvr9aAArzxBqSlFffshBCezmQyFZihd9Vye4AGDRoAcOXKFa5evZrn+0qVUgH8xo2q2mDqVHVz4vBhuWHqCSSgFyVacnIyN2/eBODKlTKAawX07dqBXg/nzmXugZoXLUN/5coVEhMTi2F2Qoii0rrbDx8+PM/tkgrL1cvtNbk1xtNMmgQVK0JUlFobKoQQ9nTt2jWS7qSo3TGgL1OmjHneeWXps6tXT+0m8sor6t9ffeWo2YniIgG9KNG07Lyvry8xMT6AawX0BgM0b64eF1R2HxAQQMWKFQHJ0gvhDi5fvszGjRsB+5fbX7ig1k8C9O9v16HtLr+APiAgcz/6t96ybscPIYSwlpadr1ChAqVLl871Pa4c0EPu6+it8dhjaovQv/+GI0ccMTNRXCSgFyWaFtCrPehVdsyVAnqwrexetq4Twn0sX76cjIwM2rVrR0hIiF3H1vaeb98eqla169B2p5XcHz9+nISEhByvjx0LtWqpmxQffVTcsxNCeLKC1s/HxcHZs+pxmzbFNSvbFLSOPi9Vq6ru9wBff23vWYniJAG9KNG0DvfBwTVdag96S4UJ6CVDL4Tr08rt7b33PKhtisD1y+0Bypcvb76hsUsrK7Dg56c6M4NaSz9liuynLISwj4LWz2sN8Ro2dN1eJIXN0AM8+aT6/t130qfEnUlAL0o0LUMfENAMcJ096C1pAX1ERMEnW9m6Tgj3EB0dzbZt29DpdDz88MN2HfvyZfjzT/V4yBC7Du0w+ZXdgyoNffll9XjGDOjTR20lJYQQRVFQhl4rt3e17eosFTZDDypDX7my+rtxZ8MV4YYkoBclWuYaetUl1NWy8wANGqibDCkpcPBg/u+VDL0Q7uH7778HoEuXLlSrVs2uY//4o9q3vV07tc2SOygooNfpVCC/dCmULg3r10NoKPzzT3HOUgjhady5w71Gy9BHRUWRnJxs02d9fGDUKPVYmuO5r0IF9JGRkTz11FOEhobSqlUrHnroIVatWmX1569evcq8efN4/vnn6datGw0bNjT/MjryuEJkpwX0Ol1dwDUDer1erYOFgsvuZes6IdzDkiVLAPs3wwP44Qf1fdgwuw/tMJYBvclkyvN9w4apBk516qitl9q3hxUrimmSQgiP4wkBfY0aNahTpw4ZGRmsW7fO5s8//rj6vnat6lUi3I/NAf3OnTsZMWIEERER9OzZk+HDh5OQkMDkyZOZO3euVWNERUUxa9YsNmzYgI+PT55dJe19XCGy09bQp6fXAFwzoAfr19FrGfqzZ8+Snp7u4FkJIQrjyJEjHDhwAG9vbx588EG7jh0TA1u2qMdDh9p1aIdq2bIlvr6+XL16tcAbkq1awe7d0K0b3LwJDz6o9lQ2GotnrkIIz5Ffyf3Fi+qcqtNB69bFPTPr6XQ6htxZX7WsEJvKN2oEHTuqc+h339l7dqI42BTQp6enM3XqVHQ6HYsXL2b69Om88sor/PLLL9SvX5/Zs2dz5syZAse56667WLRoEREREaxfv54qVaoUy3GFyE7L0CcnVwJcN6C3NkNfrVo1/Pz8SE9PN991FkK4Fq0ZXq9evShfvrxdx16+HEwmdXGWR8LJJfn5+dHmTgvpvMruLVWooMruX3hB/fvdd9X2fNevO3KWQghPkpGRQUxMDJB7hl5riNe4sdpG2JUNvXMHd/Xq1dy8edPmz2vN8b7+Wv0NEe7FpoB+x44dREdH07dvX5o0aWJ+3mAwMG7cONLT01lhRe1bhQoVCA0NxWDl/zvscdz4+Hibv4xyu9/jaQF9YmIQ4LoB/Z1dnThxAq5ezft9er2eunXV8gFpjCeE6zGZTOaA3hHl9neW5mPnPnvFQiu732HNlh6AtzfMmgULF0KpUqqhU1iY7KcshLBObGwsaWlpeHl5UTWX/T3dodxe07ZtW+rWrUtycjJr1661+fNDhqibFidOZFZ5Cffhbcubte1kOnXqlOO1jh07ZnmPPdnjuOHh4Xafl3B/Wsl9XJy6ueSqAX358qo53vHjsHNn5r6hualXrx5Hjx6VdfRCuKCIiAiioqIoXbo0/fv3t+vYp0+r84Ne7z7d7S0V1BgvLyNHqgzaoEHqHNm+PSxapDL2QgiRF62SsVq1anh75wyJtAy9OwT0Op2OoUOHMmPGDJYtW2YuwbeWwaBuBH/1lcrSd+7soIkKh7ApQ6+VtdeuXTvHa2XLliUoKIizZ8/aZWKucFzh+VSG3p9r13wA1w3owfp19AU1xjOZYPNmiI+35+yEENbQsvP9+/e3ukrNWtrSyS5doICVbC5JC+j379/P7du3bfps27Yqm9alC9y4AQMGwFtvybp6IUTe8ls/bzK5V4YeMsvu16xZU6Sy++XLITHRnjMTjmZTQJ+UlARAQEBArq8bDAZu3LhR9Fm5yHGFZ0tOTr5zwlM3ilxxD3pLtjbGy6vkfv58ddHrjhk8IdyZyWQyLw8b5oAW9O7Y3d5S3bp1qVChAqmpqezfv9/mz1eqBL//DhMmqH//618weLBcmAohcpdfh/sLF+DSJfDygpYti3tmhdO6dWvuuusuUlJSWFOITeU7dFDVTsnJmcu3hHuQfehFiaWtn/fyCgFcOzsPmQH9rl35Z53yy9AnJMCrr6rHf/4Je/fae5ZCiLwcO3aMs2fP4ufnx/3332/XsY8fh3371MXn4MF2HbrY6HS6Qpfda3x84LPPVMmory/88gvcdx/YmPAXQpQA+WXotex806bg71+csyq8ona71+ngiSfUY9mT3r3YtIZeKw/MKxuelJSUZxa9KOxx3O3bt9t83P79+5uDPuF5tP9tDYamXL/u+gF98+ZQurTq4nzsmLqLmhvLDL3JZEKn05lfe/PNrE31Pv0Uvv3WkbMWQmh+++03ADp37kyZMmXsOraWnb//ftUB3l21b9+eNWvWFDqg1zz+uLoQf+ABtcXda6/BRx/ZaZJCCI+QX4be3crtNUOHDuX9999nzZo1JCUl2by067HHVOJn1y44dAiaNXPQRIVd2ZShr3Mn4sltvfr169dJSEjIdZ17UdnjuMHBwTZ/6fVSwODJtIDez68BAA741bUrb28IDVWP8yu717rca//f0Bw6BF98oR7/+9/q+/ffq5IyIYTjaQF9r1697D62O3e3t1TUDL2lsDD45hv1eNYsWLeuyEMKITyINRl6dwvoW7VqRUhICLdu3WL16tU2f75SJejXTz3++ms7T044jE0Ra+idaGLr1q05Xtu2bRsAYdr+WnbkrOMKz6Z1uNfpVADs6hl6sG4dvb+/v3n7FW0dvckEkyZBRoYqx331VTVWairMnevgSQshSElJYdOmTYD9A/pDh+DwYVViPnCgXYcudtrf8pMnT3LlypUij9evH4wfrx6PGiU3MIUQmfLK0LtjQzyN1u0eCld2D5nN8RYuVNeJwvXZFNCHh4dTs2ZNVq9ezRGLjV6TkpL44osv8Pb2ZtCgQebn4+PjOXnyJPFFbKdt63GFsIaWoU9PrwF4TkAPmWX32jr6lSvhjz/Azw8+/FC9Z9Ik9f0//4FbtxwwWSGE2aZNm7h16xY1a9akcV7rZQpJy8736uXajT2tUa5cORo2bAjYbxvcmTPVkqW4OFVOKp3vhRC3b98mNjYWyJmhj46GK1dUT44WLZwxu6LRAvq1a9cWqml4z55Qtar6b7Bqlb1nJxzBpoDe29ub6dOnYzKZGDFiBG+88QYzZsxgwIABnDhxgvHjx5vLfQEWL15M7969Wbx4cY6xpkyZYv7SAivL5yxvAth6XCGsof3epaRUBtwjoL9TjcqhQ2prprxYNsZLSYH/+z/1/EsvgfZ/lcGDoUYNuHxZupkK4WiW5faWfS2KymRy/+722dmz7B6gVCl1jitdWnXBl7X0Qojz588DULp0aYKDg7O8pmXnmzdXiRB306JFCxo0aMDt27cLVXbv7Q2jR6vH0hzPPdi8SLxDhw4sWbKEtm3bsm7dOpYsWUK5cuWYOXMmzz77rNXjrFy50vylbUtn+VxycrJDjiuERpXclyY5WTVUdIeAvlo1qFVLZZi0Pzi5sWyM99FHcOaMCt6nTMl8j49PZinqJ5+owEAI4RiOWj+/dy9ERalgVVv36O7sHdADNGmimoCCapC3e7fdhhZCuCHL9fPZb7K6a7m9pqjd7iGz2/369XDn3odwYTZ1ude0aNGC+fPnF/i+CRMmMEHbEDabY8eOOey4QlhDZehVJ7zAQPcpVe3QQZWD7dgBXbvm/h4tQ3/4cCJLl6rnPvgAsjfWfuopeOstOHAANm2Ce+913LyFKKlOnz7NsWPH8PLyonv37nYdW8vO9+0LNjYzdllaQL9r1y6MRqPdGtSOGQMbNsCPP8Lw4WqbPwdszGO1RYvgxAkYORLq13fePIQoiTyxw72loUOH8u6777Ju3ToSExMJDAy06fMhIdC5M2zerJqLTp3qmHkK+5A27qLEUgF9HUBl5+1YBetQ1qyj1zL0Bw48QnIydOqUezlucLBqFAUqSy+EsL/169cDcPfdd1O2bFm7jWtZbu/u3e0ttWjRglKlSpGQkMCJEyfsNq5OB19+qaqcTp6E556z29A2yciAiRPh0Ufh7behQQPo3h2WLZMGVEIUF09siGepefPmNGzYkNu3b7OqkAvhteZ4CxZI7xFXJwG9KLFUyX0dwD3K7TWWAX1eZfIqQ9+J5OQB6HQmPvss7xsWzz+vvv/6q7rIFULYl6PK7XfsUNU6BgP07m3XoZ3Kx8eHtm3bAvYtuwcICoIlS0CvVx2cFy606/AFSkqCQYPgs8/Uv+++W52b//xT3ZSpWVMtjZJzsRCOldeWdadOwbVrau1806ZOmJid2KPb/UMPqQrWU6dUFadwXRLQixIre4beXbRurda/X76s1sbnpnz5Suh0cwAYOvQ6rVvnPV7jxqo7tskEc+bYf75ClGSpqan88ccfgP0Deq2Z5YABag29J3HEOnpNx47wr3+px+PGqR4ExeHCBejSRXWN9vNTGflt29TF8tSpqqv05cswY4Yqd+3RA376CdLSimd+QpQkeWXotex8y5ZqK1B3pgX0v/32G9evX7f58/7+ankSSHM8VycBvSiRUlJSuHnzJu4Y0JcqhTlAz6vs/uuvdZhMLYFrDBy4p8AxJ05U37/6ChIT7TNPIQT8/fffJCUlUalSJVq1amW3cTMyYPly9dhTuttbcmRAD6oxXufOKmM+fLjjS90jI9UuJXv3QsWK8L//wZ2eVdSpA++8A2fPwooVassonU515H/oIZW1f+01OH3asXMUoiTJK0OvBfR3ioTcWtOmTWncuDGpqamFLrvXmuP99JOqXBCuSQJ6USJpW9bpdGoPN3cK6CFz+7rcAvqEBHj9de1fbxIfX3ADyh49oFEjtRXeggV2m6YQJZ5Wbt+zZ0+7NXcD2LIFLl5UzTx79LDbsC5DC+gPHDhASkqK3cf38oLFi1UfkYgIxzZ8Wr9e9TE5f16dZ3fsgPDwnO/z8VHl+L/9pkruX3sNKleG2Fh47z246y5VTXXnV0oIUQQFZejdef28xh7d7kNDoVkzuHULc5Nl4XokoBclklo/774BfX6N8d56C65cgeDgS8AXnLRiMaZen5ml/+wzlf2zh1271BpfIUoqR62f15rhDR7s/mWhualVqxaVK1cmPT2dffv2OeQYNWpklpHOnKk64NvbvHnQp4+6Wdq1K/z9N9zpWZqvunXh3Xfh3DnVlf/++9WyqPXr4YEHoBBbSwsh7rh+/TqJd8oRLQN6oxH23Clq9ISAHjLL7tevX8+1QqTYdbrM5nhSdu+6JKAXJZLK0JfGaKwIuG9Av2+fumuqOXw4cx388OE7gXROnTpl1ZiPPqoaRp06ZZ+Lxa+/VpUEzZvDwYNFH08Id3Px4kUOHDiATqfj/vvvt9u46ekqyAPP6m5vSafTObzsHmDgQLWOHuCxx1Q23B6MRnjpJRg7Vt0gHTVKZdaDgmwbx8cHHnxQ3Ww4eTLzf+/nnwcHFC4IUSJo2fng4GDKWOzne+KEuvlWqhQ0aeKs2dlX06ZNadKkCampqfz666+FGmPkSHUu2rNHbXMsXI8E9KJEctc96DV166p1mGlpKqgHlb2ZOFFdPA4cCH36qLSdNRl6UHvUP/20elzULew2bIBnnlGPExNVB+6YmKKNKYS72XAn5duuXTsqVqxot3H//FNV4VSoAN262W1Yl1McAT3Ahx+qktLYWBg9uujbMyUnw9ChalxQ6+MXLCh6JUW9ejB/PlSvrtbTf/BB0cYToqQqaP1869bg7V3cs3Kcona7r1BBNV8FlawRrkcCelEiZd+yzl32oNfodJlZeu1a95dfYONG1T35o4+0revg1KlTmPLa3y6b555Ta0v/+gv27y/c3A4cUI2c0tPVRW3jxmrtaJ8+JaPhXmRkJE899RShoaG0atWKq1ev2jyG0Whk0aJF9OvXjxYtWtChQwcmTpzImTy2NejWrRsNGzbM9WvatGlF/IlEYTmq3F7rbv/QQ5510ZldcQX0pUur/6alSqkselFuaMbGqtL6n35SAfzixWp9vr3+xhgM8PHH6vF776mKKiGE9a5evcrbb78NQL1s6188af28JW0d/YYNG0hISCjUGFrZ/aJFcPu2vWYm7EUCelEiueuWdZYs19HfugUvvqj+/X//pzI5tWvXRqfTcfPmTXPPgILUrKmCBIBPP7V9Tlrgrq0XXbgQ1q5VjZ0OHFBdnT15C6adO3cyYsQIIiIi6NmzJ8OHDzffTFG7KljnzTff5J133sFoNDJy5Ei6dOnCn3/+yUMPPURUHntsBQQEMH78+BxfXbt2tcvPJmyTkZFhztDbM6C/fRtWrlSPPbG7vaXQ0FB0Oh1nzpyx+hxWWE2bZgbKU6aote7p6baNcfiwOi/v2qWa7W3cCCNG2H+uDz0E992nfhe03idCiIJFR0fTqVMndu7cSXBwMFOzdcP01IC+SZMmNG3alLS0NH755ZdCjXH//arvSHw8/Pyzfecnis6D7+0LkTcV0DcEPCOgnzVLlWBWqwavvqqe9/Pzo0aNGpw7d45Tp05RuXJlq8adNEk13FqyRO2HXKmSdfO5fj2ztL5JE7X9kq+v+u+7Zo3aImrDBrWmdP5896uKKEh6ejpTp05Fp9OxePFimtxZgLdq1Sri4uJISkrizJkz1CngF27Hjh0sW7aMdu3asWDBAnzv1OkOHDiQxx9/nH/9618sWrQox+cCAwOZMGGC3X8uUTgRERHEx8dTrlw5wsLC7Dbuhg1q66CqVVXndE8WGBhI48aNOXz4MDt37qRfv34OPd4zz6j/vitXqr3qQe3DXLasWppVtmzej3U6tbf99etqD/m1a6F+fcfMU6eD2bOhRQvV72TVKnDwfxoh3N4///xDz549iYmJoWbNmqxfv57GjRubX8/IUNtKgucF9KDK7t98802WL1/O6NGjbf68l5dakjR9uiq799T+Le5KMvSiRMpecu+OQkPVhd3Zs2qNJqhOzQZD5nssy+6t1aEDhIWpfZnnzrXuM2lpKmt08CBUqaIuZi37ErRtq24S6PXqD8G771o9HbexY8cOoqOj6du3rzmYB7JsVbZixYoCx1l+Z3PxSZMmmYN5gPDwcDp16sTu3bs5becNqePj423+MhZ1obGH08rt77//frztWBevdbcfOlRdYHk6rex+R25betiZTqduNlpuKZecrLYHPHZMZd5//12V03/9tcrov/WWqo564QUVzHfqBNu3Oy6Y1zRqpKqxQBrkCVGQbdu20alTJ2JiYmjSpAnbtm3LEswDHD2q/v9epgw0bOikiTqQPcruH39cff/9d3j5ZSjEikLhIJKhFyWSJ5TcBwSoRk4HD6qS+44dYfjwrO+pV68ef/31l9WN8TSTJqlS0S++gFdeUevy82IyqWZ6GzeqP4Rr1kDt2jnf17cvfP45PPssvPEG1Kqlukp7il27dgHQKZ+0qfae/OzcuRN/f3/atGmT47VOnTqxZcsWdu/eTd26dbO8lpqaysqVK4mNjSUwMJA2bdrQqFEjq+Yentum2KJIHLF+PiVF9cqAkpMd6dChAwsWLHD4OnpNcLAqt09LUz0/EhNVoH79esGPW7SAadPUWvziMHWqWqN/5gy8/766uSCEyGrVqlUMHTqUW7ducffdd7Nq1SqCg4NzvE8rt2/TxjNvljZu3JjmzZtz8OBBfv75Zx7XonMb1KsHTzyhbmjOnKmSPi++qL4CAx0waWE1CehFieQJAT2obPrBgyqz9NlnOcvYC5OhB5VtnzwZLlxQGcH8Au+334ZvvlF/AJcvV38M8zJ2rLr4nDFDNVipXh26d7dpai5La1hXO7e7GahtuM6ePZvvGMnJycTFxdGgQQO8crmi0Mr1c2uOFxcXx5QpU7I8d8899/DBBx/kevEiHOfq1avmmzc9e/a027hr10JSkrphpi258XRahn737t0YjcYsFS+O5OMD5curL1dVpoxabjVkiDqnPvqoKvcXQihff/01Tz/9NBkZGfTp04dly5bh7++f63s9df28paFDh3Lw4EGWLVtWqIAeVBXT4MHqhuL+/epG4uzZKvnz3HPqvCSKn5TcixIpNvYGoNaUu3NAP2iQ+j5hQu6BtNbB1dYMvY8PjB+vHn/yicrC5+abb9S6UVDZ/AceKHjsf/9bNfNKT1d/FA4dsmlqLispKQlQzelyo9fruXHjRr5jaK8bLNdNWNCe146lGTx4MAsXLmT79u3s2bOHZcuW0blzZ7Zs2cK4ceOs3uVA2MfGjRsxGo00b96c6tWr221crbv90KGe14MiL02bNsXf35/ExESOHj3q7Om4nAcfVM2qbt9Wpffyf3UhwGQy8d577/Hkk0+SkZHB6NGjWblyZZ7BPJSMgF4ru9+4cWOhduAB9benTx+1J/2yZWr5T3y8CujvuksF90Xpgp+SAn/8Aa+/rhI/cXGFH6skkYBelDgpKSkkJ1cAIDDQ5HZ70Ft64AG4dCnvbZYKm6EHVUZfqpTa537Llpyvb9wITz2lHr/6auYe9gXR69WNgHvuydyj/sIFm6cnLIwfP56wsDCCg4MxGAy0bNmSefPm0bZtW/bt28emTZucPcUSxRHl9jduqOUs4Pnd7S15e3vT7s4VdnGV3bsTrUGejw+sWwe//ursGQnhXEajkRdeeIHXXnsNgFdeeYWvv/4aHx+fPD+Tlpa5Va8nB/QNGzakRYsWpKen83MRW9Xr9ao66NAh+PZbqFtXbdv5/POqh8j8+dbtFJKWpvqOTJ8O3bpBUJDaxePf/1al/bKTh3UkoBclTvZye3fPdFWunPfPoGXoL1y4QIqNXZPKl88stc9+wyAyUmXX09PVWvvp022bs5+f2vakYUM4dy5zqzt3pmXP88rCG43GPLP3Gu317Bl4jfZ8Xhl8S3q9nsGDBwOwV2vdm4ft27fb/FWxYsUC51ASmUwmhwT0q1apzEVICLRubbdh3UJx7Ufvrho2VEukQF38Jic7dz4FiYyM5KmnniI0NJTY2FgAm/8+GY1GFi1aRL9+/WjRogUdOnRg4sSJuS5HAujWrRsNGzbM9WvatGlF/ZGEi0hNTWXkyJF8emff3VmzZvH++++jK+BC7/Bh1YsoMNDzl60MHToUyGzAW1ReXupa8ehR+M9/1G5L586phE/jxmrHJMseukajunkya5a69gsOhrvvVr2V/vc/ld2vVi2zEm3pUti82S5T9Wiyhl6UOFk73Lt5NF+A4OBgAgMDSUxM5PTp01m6r1tj4kT48ksVfJ86pRqinD+vsuo3bkCXLuoOamGWtQYHq4xShw7q5D5kiApa8rmJ7tK09e1nz56lWbNmOV43mUx5rq/X+Pv7U7FiRc6fP09GRkaOdfTaxWpBW99pgoKCgIIvlguzxr641jK7m8jISC5dukSZMmXoqO19Zgdad/thw9z/JqStJKAv2Ouvw6JFateT999XvU1c0c6dO3nyySfx8fGhT58+rFmzhuTkZBITE5k7dy5jx461apw333yTZcuWERISwsiRI7l69Spr165l27ZtfP/994TkEpUFBAQwatSoHM/ndr4W7ufGjRs8+OCD/P7773h7e/PNN9/wyCOPWPXZPXvU97ZtC3c9406GDBnC1KlTzWX35e3UKMTXV/VJGjVKBfbvvQdRUfDII+rxyJFqWcP//pezO35wMHTtqnoqdesGDRqov3NBQTBvnloCuncv2HHDGI/j4b+2QuTkKQ3xrKHT6YpUdt+kCfToodZlzpmjSuT79FF7zTdurPZrzq8DfkHq1lVlxP7+sH49jBvnvmtAQ0NDAdi6dWue77FmP/KwsDCSk5NzzaprY2vHKkhkZCSAXddxi/xp2flu3brhV5T/c1i4dk3d/IKS093ekhbQHzx4kGRXTz87SZkymZVUM2aoC2lXk56eztSpU9HpdCxevJjp06ebq5K8vLyYPXt2nhl2Szt27GDZsmW0a9eOlStX8vLLLzNjxgy+/PJLkpKS+JfW2CWbwMBAJkyYkOOra9eudvwphTPExcXRrVs3fv/9d8qUKcPq1autDuahZKyf1zRo0IBWrVqRkZHBypUr7T5+6dKq6/2pU6p6s2xZVZY/ZQr8+KMK5g0GlRj68EO1rDMuTr327LOq4ki7af3uuyrYP3hQ3SQQeZOAXpQ4JSmgh8I3xtNMmqS+f/WVKrOPjFRl/mvXqrunRdWunWr2pderNVfvvVf0MZ0hPDycmjVrsnr1ao4cOWJ+3nK/9kFaF0PU3u8nT54kPj4+yzhaOdwnn3xCamqq+fnt27ezdetWQkNDs2xZFxUVRWJiYo75REREsGDBAnx9fenRo0fRf0BhFS2gt2d3+59/VusMmzZVW1WWNDVq1KBatWpkZGSwR0uliRwGDYKePSE11TUb5O3YsYPo6Gj69u2bo1rMYDCQnp7OihUrChxHKxWeNGkSvr6+5ufDw8Pp1KkTu3fv5vTp03ade3x8vM1flud+4TjR0dF07NiRiIgIypcvz59//mnz+bckBfSQeZ2xbNkyhx0jIEBVDp0+rcrp+/aFd96BbdtUE701a+D//g9atcq7KqJ8eRXUgxrj8mWHTdftSfGCKHFUQK/2Ci8JAX1RMvSgLhAbNIDjx1XnUX9/dSK253+7fv1UY6fnnlN/AGrVUuVZ7sTb25vp06czZswYRowYQd++fTEYDOaAvUyZMlkC8cWLFzNnzhzGjx/PhAkTzM936NCBIUOGsHz5cgYNGkSXLl3M5aQGgyFH9mndunXMnz+f8PBwqlevjq+vL8ePH2fbtm3o9XreeustqlWrViz/DUq6GzdumKso7LV+3mRSN9OgZGbnNe3bt2flypXs3LmTe+65x9nTcUna9qXNmqmKjl9+gYEDnT2rTNpWjp06dcrxmhaYa+/Jz86dO/H396dNLlu7dOrUiS1btrB79+4s51tQ66tXrlxJbGwsgYGBtGnThkaNGlk19/DwcKveJ4pXTEwMXbt25dSpU9SqVYsNGzbQsGFDm8ZITYUDB9TjkhLQDxkyhNdee40///yTuLg4h/bECQoq2hKgp55SSz/37VMNmLW/hyIrydCLEifrGnpnzqR4FDVDr9dndhnV69U2JW3b2mt2mcaNg5deUo+fekrtV+9uOnTowJIlS2jbti3r1q1jyZIl5mY81jSy07z99tvm0tSFCxfy119/0bVrV5YvX55jbWj79u3NFzQrV65k4cKFREVF0bt3b77//nvzNjXC8f7880/S09MJCQkx30grqj/+gK1b1dKWQm4b7BG0svsdO3Y4eSaurUGDzPOoqzXI08rpc+slotfrCQoK4uzZs/mOkZycTFxcHDVq1MjRYwQy+4vkVrofFxfHlClT+Pjjj3nrrbcYMGAAY8aMyVElJdzD5cuXue+++zh16hR169Zl27ZtNgfzoMrBU1NV4JntHpDHCgkJoXXr1g4ru7cnLy+15BNUzyZppZI7ydCLEufixet4wh701tIC+sJm6EHtBXr6tOpE2qePvWaW0/vvZzZNmTxZralyNy1atGD+/Pnmf3fu3NncydmStn4zN3q9nkcffZRHH320wOOFhYVZtTZfOJ69u9ubTKrMEOCZZ6BGDbsM65a6dOkCwOrVq7lw4YJUneTjtddUg7zoaLX1k627kDiKtktHXrt9GAwGLl26lO8Y2i4ied0g1Z7PvlPI4MGDCQsLIyQkBF9fX06ePMmcOXPYvHkz48aNY+nSpQV2Qheu4+rVq9x3330cPXqUmjVr8ueff1KjkCdIy3L7kvQrMHToUPbt28fy5ct52tp9h53k7rtVs71vv1WVnDt3qkBfZJIMvShxoqPVGbtUqVS33oPeWpYl94Vd0+fnBzNnqjWajqTXw6efqu8//aQCeyHcgSO2q1u7FnbsUE2GXn3VLkO6rfbt29OxY0du377NBx984OzpuDTLBnkzZ6rlUiXd+PHjCQsLIzg4GIPBQMuWLZk3bx5t27Zl3759bNq0ydlTFFa6du0aPXv25ODBg1StWpU//vjD6p1fcqMF9I6oPHRlWvXen3/+yfnz5508m4K9/77aVnDPHpWpF1lJQC9KnIsXVefpKlVSSsTd2Jo1a+Ll5cXt27e5ePGis6dToObNVadTUI2d0tOdOx8hrHH8+HHOnDmDr68v9957b5HHM5lA2x77ueegSpUiD+nWdDqduX/EvHnz3OJc5kwDB0KvXqqUeMIE12iQp2XPtSx7dklJSXlm7zXa69kz8JZjWB4rP3q9nsGDBwPkuquIpe3bt9v85ch1ySXVjRs36N27N3v27KFChQps3LiR+vXrF2nMktYQT3PXXXfRpUsXjEYjH330kbOnU6AqVeCtt9TjV19VjfVEJgnoRYlz9ar6Q1+9eoaTZ1I8fHx8zGsWi1J2X5zeflttVXLokNqDVAhXp2XnO3fuTJkyZYo83s8/q313DQZ4+eUiD+cRunfvzt13382tW7ckS18ArUGery9s2KC2GHU2LYua2zp5o9FIQkJCruvrLfn7+1OxYkXOnz9PRkbOv+Ha2nlrM7ZBd7ZqSUlJyfd9wcHBNn/pPX1D82KWnJxM//792b59O+XKlWPjxo05dkuw1a1baks0KHkBPcBrr70GqJukl92ghfxzz6ndXq5ezbzhLRQ524gSJzExGIB69UrOr39RG+MVt+DgzHWfb7yhTt5CuDJ7ltsbjZkXKxMngiT6FMss/dy5cyVLX4D69TNvBk2aBDdvOnU6hIaGAph3grCkbdFpTT+QsLAwkpOTc82qa2NrxypIZGQkANWrV7fq/cI5bt++zaBBg/jrr78ICAhgw4YNtGzZssjjRkaqKsAKFdTuOiXN/fffT7t27UhJSeETbZ2OC/PxUTsigdqXfv9+p07HpZSciEYI1F34tDTVTKlhQz8nz6b4FHXrOmd4+mlo0QISEjIbgwnhilJSUvjrr78A+wT0y5ap6pSyZdU+vSLTfffdR3h4OLdu3WLmzJnOno7Le/VVqF0bzp1TWz85U3h4ODVr1mT16tUcOXIky2tJSUl4e3szyKJRS3x8PCdPnszRhV7bQ/uTTz4x3wgAVRa/detWQkNDs2xZFxUVRWJiYo75REREsGDBAnx9fenRo4ddfkZhf2lpaQwdOpQNGzbg7+/P2rVrrb5hU5CS2hBPo9PpmDp1KgBz5swhISHByTMqWNeuMHSouvE9frxrLCdyBRLQixJF7UFfB4BGjUo5dS7Fyd0y9KA6mH72mXo8b17mPrFCuJrNmzdz69YtatSoUeQS0PR0uJOE5sUX1VZKIpNllv4///lPgV3RSzp/f9X1HlTDUWf2JPH29mb69OmYTCZGjBjBG2+8YV5Pn5GRwfjx47ME4osXL6Z3794sXrw4yzgdOnRgyJAhREREMGjQID744ANeeeUVnn76aQwGg/n3Q7Nu3Truuecexo4dyzvvvMOMGTN48sknGTlyJOnp6UybNk12TXBR6enpPPLII/z666+UKlWKVatW0alTJ7uNX1LXz1vq168fzZo148aNG8zR9odzcR9+qM5t27ZBttNDiSUBvShRLAP6unVLzu1Ye2xd5wxdusCQIepO7MSJcidWuCbLcvuibn21ZAkcO6aWnUyaZIfJeaD777+fDh06SJbeSo8+qkqKz56FFSucO5cOHTqwZMkS2rZty7p160hOTgYgMDCQZ7VuqFZ4++23mTp1KjqdjoULF/LXX3/RtWtXli9fTkhISJb3tm/fnq5du3Lq1ClWrlzJwoULiYqKonfv3nz//ffmbt/CtRiNRp544gmWL1+Oj48PK1eupFu3bnY9hgT0qjnk66+/Dqiql7waTrqSmjXhTmEBL70EuRTglDg6k8n2S+TIyEhmz57N/v37SUtLIyQkhFGjRtGvXz+rxzAajSxZsoQffviBs2fP4u/vT/v27XnhhRdybWbSrVs3YmJich3r4Ycf5u2337b1xyiQtn905cqV2bx5s93HF8Xv55/XM2hQT0Ctyw4OdvKEism+ffto06YNFStWdIvGJ5bOnoVGjVTzmmXLVIDvTjz1POKpP1dhNG7cmKNHj/Ljjz/y4IMPFnqctDT1u37qlNqi55VX7DhJD7N+/Xp69epF6dKlOX36NJUrV3b2lFzam2+qZqNhYWorRFcpL/bk84gn/2yOZjKZGDt2LF9++SVeXl78+OOPDBw40K7HSE6GgACVMDh/HkpyG4WMjAwaN27MiRMnmDlzJpMnT3b2lAp0+zY0awZRUWpp2ocfOntG9mfLOcTmDP3OnTsZMWIEERER9OzZk+HDh5OQkMDkyZOZO3eu1eO8+eabvPPOOxiNRkaOHEmXLl34888/eeihh4iKisr1MwEBAYwfPz7HV9euXW39MUQJdfSo6mTr5XWzRJWyahn6uLi4PLcMclW1a2cGNpMnqz/CQriKM2fOcPToUby8vOjevXuRxvr2WxXMV6qk1gaKvPXo0YP27duTkpIiWXorjBsHfn6waxf8/bezZyNE3kwmE5MmTeLLL79Er9ezePFiuwfzoBqqGY1qO7SSvuLCy8uLKVOmAPDRRx9x69YtJ8+oYH5+mcsyP/0UsrXlKHFsCujT09PNJU6LFy9m+vTpvPLKK/zyyy/Ur1+f2bNnm7cMyc+OHTtYtmwZ7dq1Y+XKlbz88svMmDGDL7/8kqSkpBzrnzSBgYFMmDAhx5cE9MJaJ0+qbW4CAq66TIaiOJQtW5by5csDcPr0aSfPxnYvv6xKrKKjQa7dhStZv349oBp+lStXrtDj3L6tMqgAU6aAHXa+82g6nY4333wTgC+++ILY2Fgnz8i1Va4MI0eqx7NmOXcuQuTFZDLx6quv8tmdSO3rr7/m4YcfdsixSnpDvOxGjhxJrVq1uHTpEl9//bWzp2OVBx6A/v1Vb5Dnny/ZyzJtCuh37NhBdHQ0ffv2zdL4x2AwMG7cONLT01lhxQKt5cuXAzBp0iR8fX3Nz4eHh9OpUyd2795t96AjPj7e5i+j0WjXOQjnO3tWnbWDgkreght3bIyn8feHjz5Sj99/X5XhC2FPGRkZpKWl2fw5e21XN3++6kRerRqMHVukoUqMXr16ERYWRkpKCh96Yr2lnb3wgvq+ciW44Z8B4eG0YH7GjBmA2ppy1KhRDjuerJ/PytfXl5fv7HM5Y8aMQv09dIaPP1bZ+o0bnd8jxJlsCuh37doFkGuHyY4dO2Z5T3527tyJv78/bdq0yfGaNvbu3btzvJaamsrKlSuZO3cuS5Ys4ejRo1bPPTw83OYv1UBNeJJLl1Rn+ypVUpw8k+LnjlvXWXroIdUk79Yt1QRFCHtJSEigdevWGAwG7r77bl566SV+/vnnAvtNpKam8scffwBFC+hTUuDdd9Xj11+H0qULPVSJYpml//zzz92uP0hxa9oUevVSWaxPP3X2bITIlJ6ezpNPPmkO5j/++GOeeeYZhx5TAvqcnnjiCSpXrkx0dDSLFi1y9nSsUq9e5rLMF14oucsybQrotXL62rVr53itbNmyBAUFcbaA1FlycjJxcXHUqFEDLy+vHK9rDfFyK92Pi4tjypQpfPzxx7z11lsMGDCAMWPG5NijVIi8XL1qAKBGjQwnz6T4uXOGHlRJ3GefgV4Py5fDnW2/hSiS9PR0hg4dysGDB0lNTWX79u18+OGHDBo0iMqVK1O/fn1Gjx7Nf//7Xw4fPpylcmv79u3cuHGDihUr0rp160LPYe5cuHgRatWCJ5+0x09VcjzwwAOEhoZKlt5KL76ovn/9NbjBltOiBEhOTmbQoEEsWLAAvV7PV199xSQHb/Fx4wZoOcG2bR16KLdSunRpc0O89957j4wM97hWfuUV1W/p3Dl47z1nz8Y5vG15s7aVQUBAQK6vGwyGAveE1RpyGQyGPMewPJZm8ODBhIWFERISgq+vLydPnmTOnDls3ryZcePGsXTp0iJvFyQ8W0rKLS5frgFASEjOm0mezl23rrPUogU88wz85z9qG7s9e8DbprOYEFm9+OKLbNy4EX9/f3788UcuX77M33//zbZt2/jnn3+IiooiKiqKb7/9FoCgoCDCw8Pp2LEj//zzDwA9e/ZEry/cLrBJSZkXIG+8oUoHhfW0LH3fvn35/PPPmTx5MpUqVXL2tFzWffdB8+Zw8CB8+aXspCCcKz4+nv79+7Nt2zZKlSrFDz/8QP/+/R1+3H37VKVKjRqqKZ7INHbsWN577z1OnDjB8uXLGTZsmLOnVCB/f1V6P3gwfPCBai5rS0jo56d619Sv77g5OprbXAqPz9byt2XLlsybN4+RI0eyZ88eNm3axL333uucyQm3MG7cStLTh6PTJfHcc42dPZ1ip5Xcu2uGXvPOO/D99xAZCf/9L9iwdbEQWcybN4/Zs2cDsGjRIh544AEA87rNhIQEtm/fbg7wd+7cSUJCAmvXrmXt2rXmcYpSbj9nDsTFwV13gQOXi3q03r17065dOyIiIvjoo4/MZbsiJ51OZekff1xVPL3wAli0MhKi2Jw/f55evXrxzz//UK5cOVatWpXrkl57S08Hrfd2hw4OP5zbMRgMTJo0iWnTpvHuu+8ydOjQQt+wLk4DB0KPHrBhAyxZYvvn9+1Tu4C4a5LIpmlr2fO8tr1KSkrKM3uv0V7PnoG3HMPyWPnR6/UMHjyYPXv2sHfv3nwD+u3btxc4Xnb9+/eXdfQeIiYmhoUL1abz999/nurVGzl5RsVPy9CfOXOGjIyMXJe8uIPy5VU38AkTYOpUePhhCA529qyEu/nf//5nvlE8ffp0Bg0alOM9QUFB9O7dm969ewOQlpbG/v37zQH+tm3bKFu2LH369CnUHBITM3dtePNN8PEp3M9S0mlZ+n79+jFnzhwmT55MxYoVnT0tlzV8OLz6Kly4oJYvPfKIs2ckSpojR47Qs2dPzp07R7Vq1Vi/fj3NmjUrlmNPmwb/+5/aSUTbWURkNX78eGbOnMmhQ4dYtWoVAwYMcPaUCqTTweLF8MMPkJpq/edMJpg+XQX0s2apXZXckU0Bvba+/ezZszn+j3f9+nVzY6H8+Pv7U7FiRc6fP59rUKGtndeOVZCgO5uJp6Tk3+QsuBBX/O5wR0pYZ+zYT8jImAkYmTOnobOn4xTVq1fH19eX1NRUzp8/n2svDHcxdizMmweHDqk/znPmOHtGwp1ERUXx0EMPkZ6ezvDhw3nttdes+pyPjw+hoaGEhoYyceLEIs/jk08gPh4aNYIRI4o8XInWp08f2rZty549e/joo494//33nT0ll+XnB+PHqxuiH32kfvdkxaIoLjt37qR3797Ex8fTsGFD1q9fX2zXI7/+mrnE6auvoHHJK9a0SlBQEM899xzvv/8+7777Lv3793eLZc0VKsBzz9n+ueBgVbX05puqbD8kxP5zczSbItbQ0FAAtm7dmuO1bdu2ARAWFlbgOGFhYSQnJ7N3794cr2lja8cqSGRkJKCCFSFy8/fff7N6dV0AOne+Tv36rn9ScgQvLy/zjTJ3L7v39s7s0vyf/6j1oEJY4/r16/Tv35/4+HhCQ0P56quvnHKhEh+fuRXjv/4Fblow4zIsO97PmTOHK1euOHlGrm3sWLWbwr59sGmTs2cjSop169bRrVs34uPjCQsLY+vWrcUWzJ86BY89ph4//7yq7hN5e+GFFyhdujS7d+9m48aNzp6OQ40apfqL3LoFTz/tnvvZ2xTQh4eHU7NmTVavXs2RI0fMzyclJfHFF1/g7e2dpWwxPj6ekydP5uhCP3ToUAA++eQTUi3qIrZv387WrVsJDQ2lbt265uejoqJITMy5b3hERAQLFizA19eXHj162PKjiBLCaDQybtzrgFqc+q9/BTl3Qk7m7lvXWerWDR58EIxG1SDPHU/AonhlZGQwfPhwjhw5QvXq1fnll18o7aQ94j76SJXcN28OQ4Y4ZQoep2/fvrRp04abN2/ykXa3ROSqfHkYPVo9lv9UojgsXLiQ/v37k5ycTK9evfjzzz+pUKFCsRw7JUVdL1y/DuHhmUudRN4qVarE008/DahlaZ5Mp1NVn/7+ajnGV185e0a2symg9/b2Zvr06ZhMJkaMGMEbb7zBjBkzGDBgACdOnGD8+PFZAvHFixfTu3dvFi9enGWcDh06MGTIECIiIhg0aBAffPABr7zyCk8//TQGg4F/ad0q7li3bh333HMPY8eO5Z133mHGjBk8+eSTjBw5kvT0dKZNm0a1atUK/19BeKwFCxZw4EA7oAxNmqRR0vsmuvvWddl9+CGUKqVOwCtWOHs2wtW9/PLLrFu3jtKlS/PLL79QtWpVp8wjLi6zwuTtt9VWjKLoLLP0s2fPlix9AbSdwVavhmPHnDoV4eE++ugjHnvsMdLT0xk5ciS//vorZcqUKbbjT5gA+/erkuxly6QRpLUmT56Mj48PmzdvZsuWLc6ejkPVq6eaLgNMnqy2knUnNl9GdOjQgSVLltC2bVvWrVvHkiVLKFeuHDNnzuRZG9pNv/3220ydOhWdTsfChQv566+/6Nq1K8uXLyck2+KF9u3b07VrV06dOsXKlStZuHAhUVFR9O7dm++//54hkt4Qubh27RpTpkwFJgAwebJPiV8n6Alb11mqUwdeekk9njABfvvNqdMRLuyrr75i1qxZAHz77be0deLmwx98ADdvqv2P3aDXkFvp168frVu35ubNm+b/vUXuGjSAfv3U408+cepUhIcyGo289NJL5r3NX3zxRb799lt8irED6Ndfq4yrTgdLl6qt6oR1atSoweOPPw7Au+++6+TZON7zz0O7dqqSI9vmai5PZzJJoWpeOnfuTGxsLJUrV2bz5s3Ono6w0YsvvsjHH58DllOxoonoaB2lSjl7Vs71yy+/MHDgQNq1a8fu3budPR27SE6GVq3gxAn17969VQlpIxfZyMBTzyPu9HNt2bKF7t27k5aWxptvvpmjCqywNmyAP/4AgwHKllVfgYG5P9b2l794UW1Rl5ICa9ao31dhX9p5zmAwcObMGcqXL+/sKbmsTZvg3ntVpdO5cyqDWZzc6TxiK0/+2ayRlpbGk08+ycKFCwH44IMPeEm7A19M9u2Du+9Wa6OnT4fXXy/Ww3uEU6dO0aBBAzIyMti9ezft2rVz9pQc6sABFdSnp8NPP6kmec5iyzlECv2ERzpy5Mid/aUnATB2rATz4Hkl96DWPO3apfZW9vaGtWvVuuSJE1XjMVGynT59msGDB5OWlsaQIUOYNm1akcc0meDdd6FnT5VtnzZN/b6NHq3++Hfvri4IGjSAypVVsOTnB5UqQcuWKpgPD4c7294LO+vfvz+tWrUiKSlJsvQF6NwZ2rRRAc/cuc6ejfAUJpOJJ554goULF+Ll5cU333xT7MH8tWvw0EPqd7tPH7VVo7BdvXr1GHFnG5Z///vfTp6N47Vsmbl13fjx6vfIHUhALzyOyWTihRdeID29NdARHx+wYTWIR9MC+oSEBBISEpw8G/spV05l5f/5B/r3V3dWP/sM6teHzz9X/xYlz40bN+jfvz9XrlyhTZs2fPPNN0XejjQ1FZ54Qm35Baqh3VNPwdChKsDv0AGaNIHq1VXm3vJzcXHqC9QNgZK+BMhRLNfSf/bZZ1y9etXJM3JdOh383/+px3PmqOBHiKL6z3/+w6JFi/Dy8uLnn39m1KhRxXp8o1F1tD91Si3N++476VVSFK+++io6nY6VK1dy6NAhZ0/H4d54Q92Qv3jRffall19v4XFWr17N+vXr0etfAGDYMHBS7yuXU6ZMGSpXrgx4zjp6Sw0awC+/qFLopk1Vhn78eHXHdf16Z89OFKeMjAweeeQRDh06RJUqVfjll1/w9/cv0pgJCdCrF3zzjbo4/OIL1WDpyy/hhx9UD4ft29WNpfPn4cYNdTMpIQHOnIHISNiyRX3v2tUuP6bIw4ABAyRLb6UhQ9S64thYtcZYiKLYtWsXk+50XJwxYwZ9+/Yt9jl88AGsWqWa3/34o9pnXBRe48aNGXyn9vy9995z8mwcr1Qp+O9/1eP//hf++sup07GKBPTCo9y+fZsXXngBqAao7REnTnTqlFyOJ21dl5f771cdbb/4Qm3PdPiwCsT69JFuziXF66+/zqpVq/Dz8+Pnn3+mRhE7IZ0+rdZi/u9/KvO+erV1lT9eXqqCpHZttRSkUyf1XTiWTqczL6/46KOPOHjwoJNn5Lp8fFQzKIBZs2QLUFF4V65cYciQIaSlpTF48GBefPHFYp/D//6XuVZ+9mzVfFQU3et3/qN+//33REVFOXk2jte5M4wdqx4/9ZRaKufKJKAXHuXjjz/m5MmTlCnzMkajF/fcIyfz7DxxHX1uvL1VwBUVBS+8kLm+vlkz9W8PWnEgslm4cCEzZswA4Ouvv6Z9+/ZFGm/HDmjfHo4eVaX0W7fK+nd3MHDgQHr37s3t27cZNmwYycnJzp6Sy3rqKShTBg4dgt9/d/ZshDvKyMhg5MiRREdHU79+fRYsWICumNcVXbigqjKNRhg1Sv1eC/to3bo1vXv3xmg08u6773Lt2jWbvm654Xqe99+HatXUdeRbbzl7NvmTgF54jAsXLjB9+nSgFDrdM0DmPrsikxbQl4Q7rKCyo7NmqTLovn1VCfQnn0BIiNrKRngOo9HIe++9Z95m57XXXjM38ymsH39U5fFxcdC6NezcqZZwCNen0+lYsGABVapU4fDhw07JFrqLcuXgySfVY1mhIApj+vTprF+/ntKlS/PTTz8RGBhYrMdPS1O9TC5fhhYtVIWe9CmxLy1L/8033xAUFGTTl8FgIDw8nNdff50///yTFFdPeaN2qPnPf9TjDz9Uuya4KgnohceYMmUKN2/epF69N0hKKkWdOrLHc24aN24MwIIFC3jmmWe4fPmyk2dUPBo0UGvq1q/PXF8/ZozKtgr3d/nyZXr37s1rr71GRkYGjz/+OO+8806hxzOZYOZMtb5Y65K8ebPK0Av3UalSJRYuXIhOp2PevHn89NNPzp6Sy5o4UfWGWL9eZeqFsNZvv/3GW3dSmPPmzaO5E9YVTZkC27ap7UJ//FHtgCPs6+6772b48OGF+mxGRgY7duzg3//+N927dycoKIhu3brx7rvvsn37dtJdtHtx//7qOiAjQ10zuug0JaAXnmHHjh3mvU61reomTFDrV0VWDz30EMOGDcNoNPLll19Sv359PvroI1JTU509tWLRo4daX6/9TfrkE2fORtjDpk2baNWqlTk79NVXX/HVV18VuqN9WppaO2e5dc0vv2TtWi/cx3333cfLd/7HHDNmDNHR0U6ekWuqVw8GDVKPP/7YuXMR7uPs2bM88sgjmEwmnnnmGR599NFin8OPP2ZWlnzzjdrhRjjGkiVLSE1NtfnrzJkzLFiwgJEjR1KtWjVu377N//73P6ZOncrdd99NcHAwffv2ZdasWRw4cACj0ejsH9Vs9mwICoK9e1333CgBvXB7RqOR5+909OnZcyanTvljMGSWD4qsvL29Wbp0KZs3b6ZNmzYkJiYyefJkmjZtyq+//oqpBHRE8vbObJqzcqXqQC7cT0ZGBu+88w7dunXj4sWLNG7cmN27d/PEE08Ueu3m9etqacaXX6pyzU8/VX/M5eage3vnnXcICwvj2rVrPPLIIy6bDXI2bQu7RYtU13sh8nP79m2GDBlCfHw87dq14xMn3CHfuVNtJQrw0kuZN6WE4/j4+Nj8Vbt2bUaPHs3ChQs5f/48R48e5fPPP+fBBx8kODiYGzdusGbNGv7v//6PVq1aUblyZUaOHMmlS5ec/eNSubLaGhlg2jS1pt7VSEAv3N63337L7t27CQgIICNjPACPP67Wvoi83XPPPezevZuvv/6aKlWqEBUVxYABA7j//vtLREfopk1VN3yjUe2/LNzLpUuX6NmzJ9OmTcNoNDJ69Gh2795N06ZNCz1mdLTqQr9hgyrX/PnnzO7fwr35+PiwZMkSAgIC2Lp1651+KyK78HDo0AFSU+Hzz509G+HqXnzxRXbv3k1QUBDLly+nVKlSxXbs5GQVwN99t9oitHNn+Pe/i+3wogh0Oh0NGzZk3Lhx/Pjjj8TFxbF3714+/PBDevfujcFg4MqVK//P3n3HR1Wlfxz/zKQR0kio0sHQkQ4SQFRERUAE7KggK6IgCK6uq66roqw/V3exgB0rgh1siGJZkWqo0nsPEAIJJQRImfv743KHlEmZZJIp+b5fr7wyzNy558zueHKfe87zHGbOnMkVV1xBSkqKt7vMnXfCFVeYKXijR/vebiAK6MWvHT9+nEcffRSAMWNe5Oefq2CzmcvtpXh2u52RI0eydetWHn30UcLCwvjll1/o0KEDY8aM8YlBtDxZWxpOn25eEIh/sL6jv/zyC1WrVuWDDz7gvffeIyIiolTnMwwzP/7ii83c4Tp1zH8PGuThjotXXXjhhbzxxhuAOWO/cOFCL/fIN1m1A197zfe3ahLvmTlzJq+99hoAH330EY0bN66wtv/3P7Pw3X/+Y96Uv/VWc7VdcHCFdUE8yG6307FjRx588EHmzp1Lamoqv/32G/Xq1WPjxo1cddVVpHl5ayKbzVy5Fx5ufv/efder3SlAAb34tWeeeYbk5GSaN2/OiRN3AmbxKuVPuScqKopnn32WTZs2ccMNN+BwOHjjjTdo1qwZU6ZMCdj8+muuMb8rx4/DBx94uzdSnJycHJ588kmuvPJKkpOTadu2LStXrmT48OFun+v4cfjyS7PITf36cOmlcOiQuUf8H39ou8tANWzYMEaMGIHD4eC2224jNTXV213yOUOGQOPGcPSomXIikt+GDRsYPXo0AP/85z/p379/gWPOnoXERLMmiaccPw733AN9+sCOHWaR0m+/hVmzIC7Oc+2Id4WEhHDppZfy66+/Urt2bdasWUO/fv04ceKEV/vVtClYtXYffBAOHvRqd/JQQC9+a8uWLbx87mpj8uRpzJhhJrlqq7rSa9KkCZ9//jkLFiygY8eOHD9+nAcffJC2bdvy7bffBlx+vd1+fpb+5ZfNO/3imw4cOEDfvn15+umnMQyDu+++m8TERFq2bFmi9xsGrFsH//43XHYZ1KgBN9xgbl144IB51/32281dDxo2LN/PIt41depUmjVrxr59+7j77rsDblwrq+BgePJJ8/FTT8HGjV7tjviYEydOMHToUDIyMrjyyit50vqy5JKebgbdF18MDRqYFei3bStbu99+C61bm7OkYBYutbajlcDUvHlzfv75Z6pXr05iYiIDBgzg1KlTXu3ThAnmDf/jx82tbKdONW9eeZsCevFL2dnZjB07luzsbAYMGMDevVdy6hS0bWv+EZGy6d27N8uXL+edd96hdu3abNu2jUGDBjF8+HCfqjzqCSNGmPUWtm+H77/3dm/Elfnz59OhQwd+++03IiMjmTlzJm+99Rbh4eFFvu/ECXMZ5ujRZpDerp15Yblggbn1TPPm5g3AH380tzGcMcPc8kgCW1RUFB9//DEhISHMnj2bt6wIQZxGjDBXMJ09a+aOqoagABiGwV133cXWrVupX78+M2fOJChfxdDTp+Haa2HJEvPfycnmjdTmzc2VUDNmmPnvJXX4sLmkftAg8+ZrfDz89pu5P7hqJQW+tm3bMn/+fGJiYli0aBGDBg3y6h72wcHmd7hpU/O7ff/95krP6dM9uxrFXQroxe8YhsHYsWP59ddfCQ8P54UXXmTqVPO1iRPNPBcpu6CgIP7yl7+wdetWHnnkEUJCQvjoo4+c2z8FishIuPtu87G2sPMtOTk5/OMf/+Dqq68mJSWF9u3bs3LlSoYNG1boexwO8w9rnz5QvToMHQpvvw3795uz8P37m3fUt2+HLVvMLWiuugoqsJaT+IDOnTvz3HPPATBx4kQ2bNjg5R75FpvN/O8mJgaWLzdzlUVefvllvvjiC0JCQvj888+pWbNmntfPnjVTNn77DaKizBVPX35pjrt2u1mbZPhwuOACGDvW3AasMIYBM2eas/KffGK+/+GHYe1a88aAVB6dOnXihx9+IDIykl9//ZXrr7+es16cFm/VCjZtgjfeMNM+9u0zryNbtzbTP3JyvNApQwp1ySWXGM2bNzcuueQSb3dFcnn22WcNwLDZbMacOXOML74wDDCMGjUMIyPD270LXDNnzjQAAzCmTp3q7e541O7dhmG3m9+jdes8e+5AHUfK+3MdPXrUuOqqq5zfuTFjxhinT58u8j0pKYYxYID5/6P106yZYdx/v2H88IPGB8krJyfH6NevnwEYbdu2NTL0BSng/ffN/45CQz0/NhpG4I6PhhF4n23RokVGcHBwodcAmZmGcd115velalXDWLgw7+t79xrG008bRuPGecfoDh0MY9o0w0hNzXts//7nj2nXzjCWLy/fzye+b8GCBUZ4eLgBGEOGDDEyMzO93SUjI8MwpkwxjJo1z39f27QxjNmzDcPhKNu53RlDNEMvfmXWrFk89thjgHmnePDgwc5Z1XvvNWfgpHwMGzaMZ8/tCTNhwgS+/vprL/fIcxo1MmdyQUWgfMG6devo2rUr8+fPp2rVqnz88ce89tprRW6JtGiRmc82d6452/7ss2bO5tat5v+nV1+t8UHystvtvP/++9SuXZv169fz0EMPebtLPmf4cDNHOTPTXHrvzSWl4h2GYbBjxw5uuukmsrOzueWWW7jvvvvyHJOdbdYg+fprCAuDb74xtwDNrUED+Oc/zWJ2P/0Et9wCoaGwZg2MGwd165rn+L//M2c6v//efH3yZFixArp0qbjPLL6pd+/efPPNN4SFhTFnzhyGDx9Ojlemw88LD4cHHoCdO83vakyMWdth6FDo1s1M6auIMi0K6MVvLFiwgJEjRwLm3qfjx49nxQrzQj4kBMaM8XIHK4FHHnmE0aNH43A4uPXWW0lMTPR2lzzGKqY4YwYE+G59Pu2LL74gISGBnTt30rhxY5YsWcItt9xS6PEOh3kBeNll5rL6Fi3MKvWPPmrmWooUpXbt2nz44YcAvPbaa3z11Vfe7ZCPsdngzTehWjVYuRKef97bPZLycPz4cdasWcOcOXOYMmUK48aNY8CAAbRu3ZqIiAji4+M5cOAArVq14u2338aWK7fR4YC//AU++8y8Fpszx9yvuzB2O/TtCx9/bObEv/yyubvImTPmEvvHHjOL6vXoYQb7//iHeV4RgL59+/LFF18QHBzMJ598wqhRo3yitlNkpPld3bXL/B0RYd6I6tfPTBH5/ffybV8BvfiFjRs3MnjwYDIzM7n++ut54YUXgPOzqTffbN7dlfJls9l49dVX6d+/P6dPn2bgwIHs3LnT293yiB49zMqlZ8+er6IrFcfKl7/xxhs5deoUV1xxBStWrKB9+/aFvufwYTM387HHzJy12283/4C2a1eBHRe/d9VVV/G3v/0NgLvuuov9+/d7uUe+pW5dnHVqJk0yc5jFP2VnZzN37lwefvhhbrzxRjp37kxcXBzVqlWjY8eODB06lAcffJBXX32V77//nk2bNnH69GlsNhsdOnRg9uzZREZGOs9nGOZkyowZEBQEn35qFlMsqerVzaJif/5pbnE3erSZn/zKK7BwoflYJL+BAwfyySefEBQUxPvvv8+4ceN8ZreS2Fhzpn7nTnPmPizM/C5feqm5UnDXrvJpN7h8TiviOYcOHaJ///4cO3aMhIQEZsyYgd1u5+BB848HaKu6ihQcHMynn35K7969Wb16Nddccw1LliyhevXq3u5amdhs5vfojjvg1Vfhb38zl/tJ+Tt27Bi33XYb35/bZuDBBx/kueeeIzi48D9RCxaYlY8PHjSXvE2bBiNHqiimlM7kyZP53//+x4oVK7j99tv55ZdfClTvrsxuuw2++MJcUn3nneYqGM2a+o+dO3fy7rvv8t5773HgwAGXx9SoUYMmTZrQtGlTmjRpkuenYcOGhOb7g2gYZsDy1lvmuPvRR2ZBvNKw2aBrV/NHpCSuv/56PvzwQ26//XZef/11qlSpwn//+988q0e8qVYtmDLF3K9+8mSzWO/8+fDEE+YNME9TQC+FysrK4osvvqBBgwb0yp8MVUHS09MZMGAAe/bsIT4+nm+++ca5VdXrr5v5fL16mTOrUnEiIyP57rvvSEhIYOvWrQwePJiffvqpyBznksjJyeHzzz8nPDycQYMGVfjAfNNNZiB/8CB8/rl5ESvly1p9s23bNqpUqcI777xTZBX7nBwzP/6pp8ylnq1bm0s927SpuD5L4AkNDeXjjz+mY8eOLFiwgIcffphJkyblmY2szGw2s6LzwoWwerWZ5vLEE97ulRTlzJkzzJkzh+nTp/Prr786n69evTo33HADLVu2dAbvjRs3JioqqsTnNgxzZZS1SvLdd82ceJGKNGzYMM6cOcNdd93Fiy++SHh4OP/617+83a086tUz45W//c286XXddeXUUNnq7wW2QKtQ6o4ffvjBaNWqlQEYwcHBxvz58yu8D1lZWcaAAQMMwKhRo4axbds252vLlhlGeLhZTfLzzyu8a3LO+vXrjZiYGAMwbrrpJiMnJ6fU5/rf//5ntG/f3lnVvEePHkZiYqIHe1syzzxjfq+6dCl7hVLDCNxxxBOfa86cOUZkZKQBGA0bNjRWrlxZ5PEHDxrGFVecryQ7cqRhpKeXunmRAmbMmOEcg6KioowxY8YYa9as8Xa3fMasWeZ/e8HBhrF6ddnPF6jjo2F477OtWbPGGD9+vBEbG+v8LttsNuOqq64yPvvsM+PMmTNlbmPSpPPj8GuveaDTImUwbdo053f9mWee8XZ3PMadMUQBfREC+Q9NYTZv3mz079/f+R9GUFCQ88Lmzz//rLB+OBwO49577zUAo0qVKsbSpUudr23ffn57iGuuMYzs7Arrlrjw66+/GiEhIQZg/O1vf3P7/Tt27DCGDh3q/M7FxMQYVatWdf57+PDhRlJSUjn03LXDhw0jLMz8fi1aVPbzBeo4UpbPlZOTYzzxxBPO/48vu+wy4/Dhw0W+5+efDaN27fNbIn34YWl7LlK0N99804iPj3d+PwGjW7duxjvvvGOkV/I7SA6HYQwZYv532L69YZw9W7bzBer4aBgV+9mOHTtmvP7660aXLl3yfG8bNmxoPPnkk8bu3bs91tbzz58P5qdM8dhpRcrkhRdecH7v4+PjjdGjRxuffvppsdcWvkwBvYcE8h+a/FJTU42JEyc69xgNDg42HnjgAePQoUPGpZdeagBGvXr1jH379lVIf5577jnnXeXZs2c7nz9yxNxXGgyjUyfDOHmyQrojxcg9qzVt2rQSvef48ePGww8/bISGhhqAYbfbjbFjxxopKSnGvn37jDvuuMN5zoiICGPy5MkVtk/0XXeZ37Ebbyz7uQJ1HCnt5zp+/Lhx7bXXOv+/nTBhQpF7yWZnG8YTTxiGzWb+f9K2rWFs2lTW3osULScnx/jll1+Mm266yXnDEjCio6ON++67r0JvcPuaQ4cMo3p187/HJ54o27kCdXw0jIr5bCtXrjSGDx/u3JsbMEJCQowbb7zR+OGHH4xsD894TJ16Ppj/1788emqRMnvuueecE5G5f9q1a2dMnDjR+Pbbb43jx497u5slpoDeQwL5D40lKyvLmDZtmhEXF+f84g8cONDYsmWL85jU1FTn8vt27dqV+38MH3/8sbMvL7/8svP506cNo2dP8w9Jw4aGceBAuXZD3DR58mRnYP71118Xelx2drYxffp0o3bt2s7/n6+88kpj3bp1BY79448/jISEhDyzDZ988onh8MRa+CKsXWt+z+x2wyjrxEagjiOl+VybN282WrZsaQBGWFiY8f777xd67NathvHyy4bRrdv5C8i77zaMCrqnI+KUnJxsPPfcc0bTpk3zXCR2797deO+994xTp055u4sV7tNPzy+9LyZTpkiBOj4aRvl+tvT0dOOBBx4wbDab8/vYunVrY8qUKeU2I/n22+fH4scfL5cmRMrs2LFjxjfffGNMmDDBuOiiiwoE90FBQcbFF19sPPbYY8bPP/9cYRNFpaGA3kMC+Q+NYRjGjz/+aLRu3dr5JW/Tpo3x448/ujx2165dzgDsyiuvLHJGrSwWLFjgnLGdOHGi8/mcHHO2FAwjJsYw1q8vl+alDBwOhzFq1CgDMMLDw13mv//2229Ghw4dnN+5Zs2aGd9++22RAbrD4TBmzZpl1K9f3/m+Xr16GStWrCjPj2P06WN+30qRRZBHoI4j7n6ulJQUZ05n/fr1C3w/MjIMY948wxg/3jDi489fOIJhREYaxsyZ5fEpREouJyfH+Omnn4wbbrjBuZrNShMaN26c8eeff5b7zUZfcsMN5n+fF11U+qX3gTo+Gkb5fbZffvklz82lm2++2ViyZInL715OjmEkJRnGwoVmmtKkSYZx552GMXCgez/9+p1fJfXXv3qmvoxIRUhOTjY++eQTY/To0caFF15YIMAPCwsz+vTpYyzyRI6lhymg95BA/UOzefNmY+DAgc4vc/Xq1Y1XX33VyMrKKvJ9K1ascOY2jxw50uMXLhs3bjSqVatmAMbQoUPzLBV76CHzD0lIiGH8+qtHmxUPyszMNK6++moDMGrVqmXs3LnTMAwzT/7666/PcwE8ZcoU46wbV4GnTp0yJk2a5FxaaLPZjDvvvLPc8uu/+cb8zlWrVrbUjkAdR0oT0NepU8fo27evcejQIcMwzHoYU6eatTCqVMkbxIeEmDdVXnjBMPbsKc9PIuK+gwcPGs8++6zRpEmTPBeHrVu3Np5++mlj69at3u5iuTt8+Hw9m9LO2Abq+GgYnv9saWlpzpvmgNGgQQPj+++/N1JTzVUSn39u5rePGWMG4C1anK8H46mfsWMVzIt/2717t/Hee+8Zt99+u3HBBRc4/3sKDg42XnzxRZ+6KevOGGIzDMMoqgp+Zda7d2+Sk5OpXbs2v//+u7e7k4dhuL/fclpaGs888wxTp04lOzub4OBgxo0bxxNPPEFsbGyJzjF37lwGDRqEw+Fg0qRJPOGhfWsOHTpEQkICu3fvpnv37vz666/O7elefRXGjTOP++gjbSXm606ePEnv3r1Zs2YNLVq04LrrruOll14iMzMTu93OPffcw6RJk6hZs2apzr9//34effRRPvroIwAiIiJ47LHHeOCBB5zfGU9wOKB5c9ixw/wOjh1buvP48jhSFqX5XBkZDhYutDNvHnz/PWzblvf1+vWhf3+45hq44gpwYxclEa9wOBz8/PPPvPXWW3z77bdkZmY6X+vUqRO33norN910Ew0bNvRiL8vPF1/AjTdCUBAsWwZdurj3/kAdH8Gzn+2rr75i7NixHDx4EICxY+/j0kuf57nnqrJ6ddHvDQqCBg2gSRPzp2lTqF0b7Hb3+lCvHlx5pfvvE/FVhmGwdetWnnrqKT755BMAbr75ZqZPn+4TW5a6NYaU990Ff+aLd47PnDGMf//bMGrUMIyrrzYMF2nHBWRlZRmvvfaaUb16deedqAEDBhibSllZ6o033nCep6gc2JL6+eefjRYtWjgrU+bO//r6azOPWQVY/EtSUpLRoEGDPDNXffv2dZknX1pLly41Lr74Yuf5GzVqZHz22Wcevbv6yivmd695c3PpYmn44jjiCe7P0BtG3bp5Z3uCgw3jssvMMW3dOs38iH87duyY8f777xv9+vUrUJipZ8+extSpU42DBw+W6tw5OTnGwYMHjcTERGPFihVl2iLU026+2fzvuU0b8xrFHYE6PhqGZz7boUOHjBtvvNH5PWrevLnx4otrjYsvzjuW1q5tGN27G8attxrGY4+Z+e4//2wYO3caRjllSIoEDIfDYbz88svOVKpWrVqVOkbyJC259xBf+kPjcBjGl18aRtOmeQdxu91cApWS4vp9P/30k9G2bVvnH4NWrVoZP/zwQ5n78/e//925ROXnn38u1Tm2bt1qDBo0yNm32rVr59lrPjHx/F7zd9+ti31/s27dOqN27dpG8+bNja+//rpcljHl5OQYM2fOzJNff8kllxS7n3lJnThhGNHR5ndw7tzSncOXxhFPcvdzJScbRp06ZlA/apQ5nvlRsVkRtxw+fNh44403jEsvvTRP4TK73W5cccUVxttvv20cPXrUMAzzYjItLc1Yu3atMXfuXOP11183HnvsMeOOO+4wLr30UqNp06bO2jLWT4MGDYyHHnrIWLFihdeXiKakGEatWuY4+eij7r03UMdHwyjbZ3M4HMYHH3zgrDsSFBRk3HHH68all2Y7r//Cww3j738v/PpPRNyzaNEio27dugZgREZGGp9//rlX+1PuAf2ff/5pjBo1yujSpYvRvn174/rrrze++eYbt86Rk5NjzJgxwxg4cKBx0UUXGRdffLFx//33G7t27SrXdt3hK39oVq82Z7GsQfyCCwzjtdcM4/rrzz9XrZphvPji+cI0W7duzbM1VFxcnDFt2rRi8+RLKicnx7jlllsMMLfxWbt2bYnfe+zYMePBBx90bgUUFBRkjB8/3nlxYxiGsWPH+QuEfv0Mw0PdlgqWlZVVIReb6enpxpNPPpknv37kyJHGAQ9shfDXv5rfw6uuKtnx+cep1q1buz2OBOr46HDoxpxUPvv37zdefPHFPCuKrBviLVq0MKKiogoUanL1Y7PZjLp16xY4Pj4+3nj88ceN9V6sFjt79vlJhtWriz4291jVvHlzo3nz5kaXLl3cai9Qx0jDMHN8rVo0gNGixS1Gr17HnNd7oaGGcf/9hlHKxR4iUoTc23UDxoMPPuix2Mld5RrQL1u2zGjTpo3RoUMH4x//+Ifx3HPPGX369DGaN29uvP766yU+z+OPP240b97c6N+/v/Hvf//bePjhh422bdsanTt3zjNL6+l23eHtgP7QIXNm2qosWqWKWXgmd4Gu//3PMDp0OB/Yx8dnG4MHv20EB4c4LxgmTJiQJ1j2lDNnzhi9e/c2wKxavX///iKPz87ONt544w2jZs2azv9Q+vXrZ2zcuDHPcUeOmMVcwPxsJ054vOsSoPbu3Wvcdtttzu9XZGSk8eyzzxqnT58u9Tl37jyf9lHc9bKrcapVq1ZG8+bNjU6dOpW4TY2PIoFp586dxv/93/8Z7du3LxCwx8XFGR06dDCuvfZaY+zYscZzzz1nzJw50/j999+N3bt3O3eXOX36tDF79mzjpptuyrP/OGBcdNFFxr/+9S9j+/btFf7Zbr/dHCc//LDwY/KPVR06dHAG9ZX9GjInJ8eYOnWqERERYQBGSEh7o23bTc7ru6Agc3WTioSKlK+srCzjb3/7m3Nc7d27d6nTpcqi3AL6rKwso2/fvkbbtm2NDRs2OJ8/efKkMWDAAKN169ZF3h21LF261GjevLkxbNiwPFWulyxZYrRo0cK47bbbyqVdd3nrgtXKk4+KOh+o33xz4fthZ2cbxptvZhtRUadyLcf/wbjkknvLPQfk6NGjzn2l27dvX+ge9b/88kue/SBbtmxpfP/99wWOO33aMHr1Mj9Dgwbmdisi7sqfX9+4cWPj888/L/VqgaFDze/k6NGFH1PYONWzZ0/nBavGRxGxbN682fjpp5+MzZs3G+np6aU6x8mTJ41Zs2YZgwYNcq56s366du1q/Pe//zX27dvn4Z67lp1tGH/8Yf52xdVYZY0jrVq1qvTXkEOGDDn3/10To2bNeYbd7jDAnNS57TbDcHGfQkTK0ZdffulcEXXBBRcYCxcurND23RlD3KpVuWzZMvbu3cvAgQNp3bq18/nIyEjGjh1LdnY2s2fPLvY8n3/+OQATJ04kNDTU+XxCQgK9evVi+fLl7Nq1y+Pt+jrDgDlzoHVr+Pvf4eRJs2LsokXwySfQqJHr9/322y9MndqBkyfrAM9hs2UCV7NkyetMm9aSI0fKr89xcXF8//331K5dmz///JObbrqJrKws5+vbt29nyJAhXHHFFaxbt47Y2FheeeUV1q5dyzXXXJPnXA4H3Hmn+XljYmDePKhbt/z6LoGre/fuLFmyhI8++oh69eqxe/dubrzxRi677DJWrVrl9vkmTDB/f/ghHD3q+pjCxil7rpLAGh9FxNKiRQv69u1LixYtiIiIKNU5IiMjufXWW/n6669JTk7m3Xff5aqrriIoKIjly5fz4IMP0qBBA7p06cKAAQMYNmwYY8aM4e9//zvPPvssr776KjNmzOCbb75hwYIFrFmzhp07d3L06FGys7Pd6ktQEHTrZv52pbCxyvoclf0acuPGYwQHT8du30ZKSj8cDhtDh8LateYOP/Hx3u6hSOUydOhQli9fTps2bTh48CCXX345L7/8MoYPbhAX7M7BiYmJAPTq1avAaz179sxzTFH++OMPqlatSqdOnQq81qtXLxYuXMjy5ctp0qSJx9pNTU0ttl/5ORwOt99TWn/+CQ88AP/7n/nvCy6A//s/uOOOwrcI2bZtGw899BDffPMNYAbXkyZF0revjX/8A2bPNrfbmjkTnnrK3HYrJMTzfW/SpAnfffcdl156KT/++CNjxozhv//9L5MnT+bll18mKyuLoKAgxo4dy5NPPkn16tVdnufRR+HTT80+zp4Nbdp4vq9Sedjtdm677TYGDx7MCy+8wPPPP8/vv/9Oly5dGDlyJP/617+oU6dOic51ySXQsSOsXg1vvWV+V/MrapzKf0xRND6KSGnExsYycuRIRo4cyeHDh/niiy/45JNPWLhwIStXrnT7fDabjTp16tCgQQMaNmxIgwYNCjyuXbt2npuWRSlqrLIC88o8RjocP5Odbf5v2a8fTJ4MnTu73ayIeFCLFi1YtmwZo0eP5uOPP2bixIksXbrUZ7a2s7gV0O/evRuARi6mimNiYoiNjWXPnj1FniMjI4OUlBSaN29OkIvbuI0bN87TlqfaTUhIKPJ1T9i79zhjxqzm2DH33nfiRAwbNrTHMOwEBWVx8cWL6NHjd7ZuzeSf/3T9nsOHD/PBBx84g+X77ruPJ598kri4OAC+/NK8OfDAA+bNgokT4fXXYehQ9/evL5kuDBiwhs8//5x33jH48MO3yMqqBjxJ06ZN6du3L1FRNZkyxfW7k5PhnXfMx++8A336lEcfpTKKiIjgqaee4q677uKRRx5h1qxZvPvuu3z22WeMHDmSqBJudl6/fgdWr76R558/xYMPViU0NO9/SEWNU2BeHFfm8VFEKk6tWrUYO3YsY8eOZf/+/SQmJnLs2DFOnDjB8ePHOX78eJ7H+f+dkZGBYRgcPHiQgwcPFhrwhoSEUL9+fWeg36JFC8aPH09MTEyBY4saq+x2e6W/hrzqKjstWsDDD5s3kUXEN0RGRjJz5ky6d+/Ogw8+yKeffsq6desYPHiwW+cJDg7mjjvuIL4cltu4FdCnp6cDFHoBHBkZyaFDh4o8x8mTJ53HFnaO3G15qt2K8OSTa/n++8vKcIZPycn5O0uW7GHJkpK9o3///vznP/+hVatWBV67/HJYuRLefRf+8Q/YssWc9S8/zYDHAMi16p6dO81ZzZJ45hlzVYKIpzVo0ICZM2cybtw4Jk6cSGJiIlOnTnXjDKFAL44du4Dvv9/J4MFN87xa3Dhlt9ud419hAnl8FBHvqF+/PvXr13frPdnZ2aSmprJv3z7nz969e/P8PnDgAFlZWezatSvPEvdatWoxevToAufUNWTRpk3zdg9EpDA2m43777+fzp07c9NNN7Fx40Y2btzo9nl27drFhx9+6PH+uRXQS9Eef7wtu3b9xvHj7k2B2+05NG26jnr1dgGDS/geO/369eOqq64q8rigILj7brjpJnjzTThwwK2ulcqWLVvIzs6mVauW2O2FJNO50KmTgnkpfwkJCSxdupQvvviCJSW9c3bOoUOzyM7uyMCBl5VP50REfEBwcDC1atWiVq1adC5k3Xd2djYHDhzIE+SfOXOGG264oYJ7KyJSMXr27MmqVat4/fXXOebmkuyQkBBGjhxZLv1yK6C37nwWNsuUnp5e7PJV6/Xcd0/znyN3W55qtyJceGEsv/12WSnfXb5rzGNizGVcFaNFRTUkUip2u52bbrqJm266yWPnLG6ccjgcLpeh5hbI46OIBJbg4GAaNmxIw4YNnbnoRdE1pIgEgtq1a/PUU095uxt5uBXQW7lJe/bsoW3btnleO378OGlpaXTs2LHIc1StWpWaNWuyf/9+cnJyCuRAWblOVlueanfp0qVFvu7KoEGDSElJcft9IlL5FDVOARiGUWh+vUXjo4gEqqLGKofDoWtIEZFScmvbuq5duwKwaNGiAq8tXrwYgG7duhV7nm7dupGRkeFy+yjr3FZbnmo3Li7O7Z+SVm4VESlqnLJofBSRyqqosSozMxPQGCkiUhpujTYJCQk0aNCA7777jk2bNjmfT09P57XXXiM4OJghQ4Y4n09NTWXHjh0Ftvuwlrm+9NJLzkEczDugixYtomvXrs7tRkrTrohIRStsnMq9dZHGRxGprAobq8Acr3QNKSJSOm4tuQ8ODmby5MmMGjWKYcOGMXDgQCIjI5k/fz779+9n4sSJeQbRmTNnMm3aNMaNG8f48eOdz3fv3p0bb7yRzz//nCFDhnDppZdy9OhRvv/+eyIjIwvkJbjbrohIRStsnLIuRiMiIjQ+ikil5WqssvLac3JydA0pIlJKble57969O7NmzeKVV15h3rx5ZGVlER8fz4QJExg0aFCJz/P000/TokULPv30U2bMmEHVqlW5/PLLeeCBB1wOrJ5qV0SkvLgap2w2c9eLwrZZckXjo4gEovxjVUZGBgDR0dGMGTOmxOfRGCkicp7NMAzD253wVb179yY5OZnatWvz+++/e7s7IuKHAnUcCdTPJSIVJ5DHkUD+bCJS/twZQ1SxQ0RERERERMQPKaAXERERERER8UMK6EVERERERET8kHLoi9CmTRuys7Ox2+3UrFnT290RET+UkpKCw+EgODiYDRs2eLs7HqPxUUTKKlDHR9AYKSJl48746HaV+8rE2j/a4XCQnJzs5d6IiD/LvR99IND4KCKeEmjjI2iMFBHPKMn4qIC+CKGhoWRmZmK326levbq3uyMVzOFwkJKSkue5mjVrYrcrU6WyKct34ejRozgcDkJDQ8ure16h8VE0RgpofCyMxsjKTeOjWEr7XXBnfNSSe5FCpKamkpCQkOe5pUuXEhcX56UeibfouyBSkP67END3QMQV/Xchlor4Lug2kYiIiIiIiIgfUkAvIiIiIiIi4ocU0IuIiIiIiIj4IQX0IiIiIiIiIn5IAb2IiIiIiIiIH1JALyIiIiIiIuKHFNCLiIiIiIiI+CEF9CIiIiIiIiJ+SAG9iIiIiIiIiB9SQC8iIiIiIiLihxTQi4iIiIiIiPghm2EYhrc7ISIiIiIiIiLu0Qy9iIiIiIiIiB9SQC8iIiIiIiLihxTQi4iIiIiIiPghBfQiIiIiIiIifkgBvYiIiIiIiIgfCvZ2B0R81dq1a5k6dSpr1qwhKyuL+Ph4RowYwbXXXuvtrkkF+vrrr1m5ciXr169n69atZGVl8X//938MHTrU210T8SqNkaLxUcQ1jY8CFTdGKqAXceGPP/7grrvuIiQkhAEDBhAVFcX8+fN56KGHSEpK4t577/V2F6WCvPzyyyQlJREbG0utWrVISkrydpdEvE5jpIDGRxFXND6KpaLGSO1DL5JPdnY211xzDYcOHeLTTz+ldevWAKSnp3PLLbewa9cu5s6dS+PGjb3bUakQS5YsoVGjRtSrV4+33nqL//73v5qBkkpNY6RYND6K5KXxUXKrqDFSOfQi+Sxbtoy9e/cycOBA50AMEBkZydixY8nOzmb27Nle7KFUpB49elCvXj1vd0PEZ2iMFIvGR5G8ND5KbhU1RiqgF8knMTERgF69ehV4rWfPnnmOERGpbDRGioi4pvFRvEEBvUg+u3fvBqBRo0YFXouJiSE2NpY9e/ZUcK9ERHyDxkgREdc0Poo3KKAXySc9PR2AqKgol69HRkZy8uTJiuySiIjP0BgpIuKaxkfxBgX0IiIiIiIiIn5IAb1IPpGRkQCF3kFNT08v9M6riEig0xgpIuKaxkfxBgX0IvlYW4m4ynE6fvw4aWlpLnOjREQqA42RIiKuaXwUb1BAL5JP165dAVi0aFGB1xYvXgxAt27dKrRPIiK+QmOkiIhrGh/FG4K93QERT7rjjjsKbAdit9uJjIykUaNGXHrppdx+++3ExsYWeo6EhAQaNGjAd999x/Dhw2nVqhVgLpN67bXXCA4OZsiQIXne8/7773Py5EmGDBlC/fr1PfZ5Jk+ezIwZMwAYMmQIzz33nMfOLSKViyfGR3B/jPTE+NiiRYtij1m7di1hYWGlOr+ISCBcQ545c4aPP/6YH3/8kV27dpGRkUFcXBzx8fH06dOH2267rUznF9+kgF4C0gUXXMAFF1wAQHZ2NgcOHGDdunWsW7eOTz/9lBkzZtCkSROX7w0ODmby5MmMGjWKYcOGMXDgQCIjI5k/fz779+9n4sSJBd774YcfkpSURLdu3TwW0K9atYqZM2d65FxSep9//jkrV64EYOvWrc7nrD/6ffv2pW/fvl7rn4i7yjI+gvtjpCfHx7Zt2xIaGuryNZvNVqZzi/s0Pkog8tdryB07djB69Gj279+P3W6ncePG1K9fn5SUFJYsWcLevXsV0FewihojFdBLQLr++usZP358nucWLFjAQw89REpKCk888YRz5tuV7t27M2vWLF555RXmzZtHVlYW8fHxTJgwgUGDBpV39zl79iyPPfYY4eHhtGvXjqVLl5Z7m+LaypUrmTNnTp7nVq1axapVqwCoV6+eLljFr5R1fATvjZEvv/yyR1dBSdlofJRA5I/XkEeOHGH48OEcOXKEm2++mQkTJlC9enXn66mpqaxdu7Zc2pbCVdQYqYBeKo1LL72UCRMm8Mwzz5CYmMiRI0eoUaNGoce3a9eO6dOnV2APz3vllVfYtWsXTzzxBOvWrfNKH8T03HPPKdVBAp674yN4d4wU36DxUSoLX7+GfOaZZ5zB/NNPP13g9bi4OC677LIK64+YKmqMVEAvlUrnzp2dj5OSkgoMxitWrOCXX35h+fLlHDp0iGPHjhEdHU3btm259dZbufzyy/McP3v2bB599FHnv4cPH57n9dLkva9bt4733nuPjh07MmzYsDznFxEpL/4wPoqIeIuvjpH79u1j/vz5hIaGMnHixFJ8MvF3CuilUjl9+rTzcdWqVQu8ft9993Hs2DGqVatGzZo1qVWrFgcPHmTBggUsWLCAMWPG5Bksq1evTqdOnVi/fj2ZmZk0b97cuQcpnN++pKSysrJ47LHHsNvtTJ48WTmhIlJhfH18BHj99dc5fPgw2dnZ1KxZk65duzJw4EDCw8PdPpeIiDt8dYz85ZdfcDgcdOzYkZiYGL7++mt+++03UlNTiY2NpUuXLgwZMoSIiIhSf3bxbQropVL56aefAIiKiqJhw4YFXn/ooYfo3r07DRo0yPP8kiVLeOihh3j99dfp06cP7dq1A8wlWJdeeil9+vQhKSmJxx9/nIsvvrjU/Xv99dfZunUr48ePJz4+vtTnERFxl6+PjwBffPFFnn9//fXXvPzyy0yZMkVbQYlIufLVMdJKzaxXrx633XYbq1evzvP6vHnzeOONN3jttdecbUtg0T70EvCys7PZu3cvL730Eh988AEAd999t8vtjW688cYCAzFAjx49eOCBBwBziVR52Lx5M2+99Rbx8fGMHj26XNoQEcnNX8bHXr168fzzz/Pjjz+ydu1aEhMTefXVV2nRogUpKSmMHj2azZs3l0vbIlJ5+cMYefjwYQC+/fZbVq9ezT333MPvv//OunXrmDFjBs2aNSMlJYV77rmHI0eOeLx98T7N0EtAmjZtGtOmTSvwfGxsLKNGjWLUqFGFvnf79u388MMPbNmyhWPHjpGdnQ2Ye4gCbNy40eP9zcnJ4bHHHiM7O5tnnnmm0G2ZRETKyt/GR4B33nknz7/DwsLo27cvPXv2ZNiwYWzcuJEXXnihwHEiIu7ytzHy1KlTgJm2ecMNN/DXv/7V+Vq3bt2YPn06V111FampqXzwwQc8+OCDHu+DeJcCeglIufcQTU9PZ+/evZw5c4bo6Ogil2X+5z//Yfr06RiGUegxx44d83R3mT59Ohs2bOC2226jU6dOHj+/iIjF38bHooSHhzNx4kRGjx7N0qVLOXHiBNHR0RXaBxEJLP42RlapUsX52NXNhjp16jBgwABmz57Nb7/9poA+ACmgl4CUfw/REydO8Nxzz/Hll19y11138dVXX1GvXr0875k7dy5vv/02drud++67jyuvvJL69etTtWpV7HY7S5cu5c4773TebfWUPXv2MG3aNOrUqZPnrqqISHnwp/GxJKzK0zk5Oezbt482bdpUeB9EJHD42xgZExMDQEhICI0aNXJ5zIUXXgjA/v37Pd6+eJ8CeqkUoqOjmTx5Mjt37mT16tU89dRTvP3223mOsfKaRo4cmWcgt5TXzNO2bdvIzMzk2LFjXH311QVeP3nyJADff/89CxcuBODHH3/MUwlVRKS0fHl8LImQkBDnY2/cUBCRwObrY2TTpk359ddfCQ4Oxm53XR7NSuXMyckpt36I96gonlQadrudf/zjHwD8/vvvLFu2LM/r1l3LLl26uHx//qqhnnbmzBmOHDlS4Ofs2bMAnD171vmcw+Eo176ISOXi6+NjUbZs2eJ8XKdOHa/1Q0QCly+PkVaq5unTp0lJSXF5zN69ewGNkYFKAb1UKhdddBGXX345AFOnTs3zmrWPsVUtNLejR4/y1VdfFXpe671nzpxxu099+/Zly5Ythf4MGTIEgCFDhjifU46oiHiaL46PJWHNlDVv3pzatWuXSxsiIr46Rl5yySVUq1YNgM8//7zA6xkZGXz//fcA9OzZs1RtiG9TQC+Vzrhx4wBYsWIFS5cudT7ftWtXAN5880127NjhfH7fvn2MHj26yIHW2o80/x1bERF/4ovj43/+8x++/PJLZ5VoS2pqKo8++ijz588H4P777y/V+UVESsoXx8jQ0FDuu+8+wLzBuWDBAudr6enpPPbYYxw9epTw8HBGjhxZqjbEtymHXiqdtm3bctlll/Hbb78xdepUEhISALMy6Pfff8+BAwcYNGgQjRs3xm63s337diIjI3n44Yd55plnXJ5z8ODB/Prrr7z77rv89NNP1K5dG7vdziWXXKI95UXEb/ji+Lhz507efvttHn/8cRo0aEC1atXIyMhg586d5OTkEBQUxN/+9jeuvPJKj/5vISKSny+OkQB33HEHmzdv5ssvv2T06NHUr1+fatWqsXPnTjIyMggLC+M///mP8+aBBBbN0EulZN1hXblypfMOa+3atfnss8+49tpriY6OZs+ePZw8eZLBgwczZ84cmjVrVuj5rr76ap599lnat29PamoqK1euJDExkZ07d1bI5xER8RRfGx9vvfVWbrnlFlq1akVGRgYbN24kKSmJxo0bc8sttzBnzhzNOolIhfG1MRLAZrPx7LPP8vLLL9OjRw/S09PZsmULMTExDB06lK+++oq+ffuW7YOLz7IZRW2WKCIiIiIiIiI+STP0IiIiIiIiIn5IAb2IiIiIiIiIH1JALyIiIiIiIuKHFNCLiIiIiIiI+CEF9CIiIiIiIiJ+SAG9iIiIiIiIiB8K9nYHfFn79u3JzMzEbrdTvXp1b3dHRPzQ0aNHcTgchIaG8ueff3q7Ox6j8VFEyipQx0fQGCkiZePO+KiAvgiZmZk4HA4cDgfJycne7o6I+LHMzExvd8GjND6KiKcE2vgIGiNFxDNKMj4qoC+C3W7H4XBgt9upWbOmt7sjIn4oJSXFOY4EEo2PIlJWgTo+gsZIESkbd8ZHBfRFqF69OsnJydSsWZPff//d290RET/Uu3dvkpOTA27JpcZHESmrQB0fQWOkiJSNO+Nj4N0SFREREREREakEFNCLiIiIiIiI+CEF9CIiIiIiIiJ+SAG9iIiIiIiIiB9SQC8iIiIiIiLihxTQi4iIiIiIiPghBfQiIiIiIiIifkgBvYiIiIiIiIgfUkAvIiIipZaTk+PtLoiI+CSNj1IRFNCLeNDJkyeZPn063bt3JzIykoULF3q7SyIi5eaXX34hKiqK119/3dtdERHxKUeOHOGCCy5gxIgR3u6KBLhgb3dAxN8ZhsHSpUt55513+PTTTzl16pTzte+//55LLrnEi72TirZ27VqmTp3KmjVryMrKIisry633r1ixgp9//pnExESSkpLIyMigXr16XHHFFdxzzz1ER0cXeE+fPn1ISkpyeb6bb76Zp59+ulSfRaQ4v/zyC6dPn2bGjBmMGTPG290REfEZq1evJiUlhU8//ZTp06cTEhLi7S5JgFJAL1JKKSkpzJgxg+nTp7Np0ybn8y1atKB27dr8/vvvJCcne7GHUtH++OMP7rrrLkJCQhgwYABRUVF88MEHAHlu9BRlwoQJpKWl0blzZ6677jpsNhuJiYlMnz6d+fPn88knn1C9evUC74uKinI5C9C2bduyfSiRIhw8eBCAlStXcubMGapUqeLlHomI+IajR48CcPbsWTZs2ECHDh282yEJWAroRdyQk5PDTz/9xDvvvMPXX3/tnH2tWrUqN910E3fddRc9e/bknXfeUUBfyWRnZ/P4449js9mYOXMmrVu3BuDbb78lJSWF9PR0du/eTePGjYs8z4gRIxg8eDC1atVyPmcYBpMmTeLjjz9m2rRpPPnkkwXeFx0dzfjx4z36mUSKYwX0mZmZrFixgl69enm5RyIivsEK6MFcfaeAXsqLcuhFSmDPnj089dRTNGnShGuuuYYvvviCrKwsunbtyptvvsnBgwd577336NWrFzabjdq1awMooK9Eli1bxt69exk4cKAzmAew288Ps7Nnzy72PKNHj84TzAPYbDbGjh0LwPLlyz3UY5GyswJ6gMWLF3uxJyIiviV3QK+/3VKeNEMvUoxp06Zx//33YxgGALGxsdxxxx3cddddtGvXzuV7FNBXPomJiQBFzlBax5RGcLA5XAcFBbl8PTMzkzlz5pCcnEx0dDSdOnWiZcuWJTp3amqq2/1xOBxuv0cCjwJ6ERHX8s/Qi5SXUgX0+Ys+xcfHM2LECK699toSvV9Fn8SffPXVVxiGwcUXX8zEiRMZPHhwsXmiVkB/+PBhDMPAZrNVRFfFi3bv3g1Ao0aNXL5us9nYs2dPqc//5ZdfAtCzZ0+Xr6ekpPDII4/kee6SSy7h+eefJy4urshzJyQklLpfUnllZWWRkpLi/PeSJUs03omInJM7oF+3bp3qjEi5cTugd1X0af78+Tz00EMkJSVx7733FnsOFX0Sf3LkyBEAJk2axNVXX12i91gBfWZmJsePH6datWrl1T3xEenp6YA5Trlit9s5efJkqc69adMmXn31VapXr86oUaMKvD506FC6detGfHw8oaGh7Nixg2nTpvH7778zduxYPv74YwVZ4nHWCqSgoCBCQkI4evQoW7dupUWLFl7umYiI9+UO6LOysli7di3dunXzYo8kULkV0BdW9Om+++7jlltuYerUqfTr109FnySgWAF9jRo1SvyeKlWqEB0dzYkTJ0hOTlZAL6W2b98+7rnnHnJycpgyZYrL2fZx48bl+Xf79u158803uf3221m5ciULFizgsssuq6AeS2Vx4MABAOrUqUPTpk1ZuHAhixcvVkAvIsL5gD40NNRZOFQBvZQHt4riFVb0KTIykrFjx5Kdne2zRZ9SU1Pd/lGOqBiGUaqAHnB+x5VHXzlERkYCFDoL73A4Cp29L0xSUhIjRowgNTWVV155he7du5f4vXa7naFDhwKwatUqt9oVKQkrf/6CCy5wpoIoj15ExGQF9FZtHeXRS3lxa4a+qKJP1h9zXy36pBxRKY1Tp05x9uxZwP2Avnbt2mzfvl0BfSVhrUzas2ePyzQgwzAKza93Zf/+/QwfPpzDhw/z0ksvcfnll7vdp9jYWABOnz5d5HFLly51+9yDBg3Kkz8tlY8V0NetW1cBvYhIPlZA369fP3799VdVupdy41ZAX1TRp5iYGGJjY3226JNIaViDcZUqVahatapb71Wl+8rF2sJw0aJFDBgwwOUxJV1qlzuYf/HFF+nbt2+p+rR27VoA6tWrV+RxpRk/c2/HJ5VT7hn6Hj16ALBlyxaOHDni9g1QEZFAkp2dzfHjxwG4+uqrefjhh9m4cSOnTp0iIiLCy72TQOPWFVlxRZ8iIyPLtejTjBkzWLp0KStXruSzzz6jd+/eLFy4kLFjxzq3FBPxpNzL7d0tKqaAvnJJSEigQYMGfPfdd2zatMn5fO7UnSFDhjgfp6amsmPHjgJbxlnBfHJyMlOmTOHKK68sst3t27dz4sSJAs+vWLGC9957j9DQUK666qrSfiyRQuUO6OPi4mjVqhVgVrsXEanM0tLSnI9bt25N3bp1cTgcrFmzxnudkoDlE/vQq+iT+KrS5s+DAvrKJjg4mMmTJzNq1CiGDRvGwIEDiYyMdAbsERERNGnSxHn8zJkzmTZtGuPGjctT7HP48OEkJSXRoUMHtmzZwpYtWwq0lfv4efPmMX36dBISEqhXrx6hoaFs3bqVxYsXY7fbmTRpEnXr1i3HTy6VVe6AHszVdZs2bWLx4sUMGjTIm10TEfEqa4VntWrVCA4OpkuXLnzzzTcsX7680JXIIqXlVkBfXNGn9PT0MhV9mjp1aqmKPq1cuZJVq1YVGdArR1RKQwG9uKN79+7MmjWLV155hXnz5pGVleVc2WGNn8VJSkoCYM2aNYXeyc8d0F988cXs2LGDjRs3kpiYSGZmJtWrV6d///7ceeedtGvXrmwfSqQQrgL66dOnK49eRCo9K6C3tuG2AnoVxpPy4FZAX1TRp+PHj5OWlkbHjh1LfL6KLPqkHFEpDQX04q527doxffp057979+7t8jswfvx4l9twupqRL0q3bt20DY54hbVtXe6AHsx0j7NnzxIWFua1vomIeFP+gL5r166AKt1L+XArYrW+jIsWLSrwmnVH3leLPomUhicC+sOHD3u0TyIi3paTk+O8UWUF9PHx8dSsWZOzZ8+ycuVKb3ZPRMSrrIDemlDs3LkzYN60t4rliXiKWwF9YUWf0tPTee211wgODlbRJwkomqEXESkoJSUFh8OBzWZzjnU2m03b14mIUHCGvmbNms5dwlatWuW1fklgcmvJfWFFn+bPn8/+/fuZOHGiij5JQClLQF+rVi0AMjIySE9PL3EOtYiIr7Py52vVqkVw8PlLiR49evDVV1+xePFi/va3v3mreyIiXpU/oAdzpfOePXtYsWJFqdKMRQrjdpV7V0Wf4uPjmTBhQomr2qrok/iLsgT0kZGRhIeHc/r0aZKTkxXQi0jAyF8Qz2LN0C9ZsgTDMNze7lNEJBC4Cui7dOnCF198oTx68bhSbVuXv+hTYVT0SfxdWQJ6aynq7t27SU5O5sILL/R090REvKKwgL5z586EhYWRkpLCtm3baN68uTe6JyLiVYUF9ADLly/3Sp8kcKmMu0gRyhLQg/LoRSQwFRbQh4WFOS9alUcvIpWVq4DeKoy3a9cu5+sinqCAXqQQhmEooBcRcaGwgB5QYTwp0tq1a7n77rvp2rWr829jcVsP57ZixQqee+45hg4dysUXX8xFF11Ev379eOGFF1wWUAbo06cPLVq0cPnzxBNPeORzieTmKqCvVq0azZo1A9BOIOJRpVpyL1IZnDhxguzsbCDvgOwOBfQiEojy70GfmwJ6Kcwff/zBXXfdRUhICAMGDGDu3LlkZGRw4sQJ3njjDe69995izzFhwgTS0tLo3Lkz1113HTabjcTERKZPn878+fP55JNPXP7NjoqKYsSIEQWeb9u2rUc+m0hurgJ6MJfdb9u2jeXLl2uHLvEYBfQihbBm5yMiIqhSpUqpzqGAXkQCUVEz9D169ABg8+bNHD16tNQ3RCWwZGdn8/jjj2Oz2Zg5cyatW7fm999/JyMjg6CgIKZOnUq/fv1o3LhxkecZMWIEgwcPdu4kA+aKukmTJvHxxx8zbdo0nnzyyQLvi46OdlnXScTTDMMoNKDv2rUrH3/8sQrjiUdpyb1IIcq63B7OB/SHDx/2SJ9ERHyBFdC72jK2Ro0atGjRAjCr3YsALFu2jL179zJw4EBat26d57XIyEiys7OZPXt2secZPXp0nmAezCK0Y8eOBcqn4FhqaqrbPw6Hw+P9EP9w6tQpMjMzAdcz9IACevEozdCLFMKTAb1m6EUkUBiGwaFDhwDXM/RgLrvfsmULixcv5tprr63I7omPSkxMBKBXr14FXgsNDc1zTGkEB5uXtEFBQS5fz8zMZM6cOSQnJxMdHU2nTp1o2bJlic6dkJBQ6n5J5ZOamgqY3+uIiIg8r3Xs2BGbzcb+/fs5dOgQderU8UYXJcAooBcphAJ6EZGCUlNTnbNPhV2M9uzZk3fffVd59OK0e/duABo1alTgNbvdTmxsLHv27Cn1+b/88kvgfA2H/FJSUnjkkUfyPHfJJZfw/PPPExcXV+p2RfLLvdzeZrPleS0yMpJWrVqxceNGVqxYwcCBA73RRQkwWnIvUghrQC5LQG8tC1RALyKBwlpuHxcXR1hYmMtjrKBq+fLlnD17tsL6Jr4rPT0dMIvTuRIZGcnJkydLde5Nmzbx6quvUr16dUaNGlXg9aFDhzJjxgyWLl3KypUr+eyzz+jduzcLFy5k7NixGIZRqnZFXCksf97StWtXQMvuxXMU0IsUwpMz9CdOnODMmTMe6ZeIiDcVVRDP0rx5c2rUqMHZs2dZtWpVRXVNKqF9+/Zxzz33kJOTw5QpU1zOto8bN45u3boRFxdHZGQk7du3580336Rz586sXr2aBQsWeKHnEqiKC+itPPryqPcglZOW3IsUwhMBfbVq1QgNDSUzM5Pk5GSXSw1FRPxJUVvWWWw2Gz169OCbb75h8eLFykEWIiMjAQqdhU9PTy909r4wSUlJjBgxgtTUVKZOnUr37t1L/F673c7QoUNZuXIlq1at4rLLLiv02KVLl7rVL4BBgwaRkpLi9vvE/1kBfWGpHLkL4xmGUWBZvoi7NEMvUghPBPQ2m03L7kUkoJRkhh60H73kZW1H5ypP3uFwkJaW5tZN7/3793PHHXdw+PBhXnrpJS6//HK3+xQbGwvA6dOnizwuLi7O7R+7XZfYlVVxM/Tt27cnODiYw4cPs3///orsmgQojTYihfBEQA8qjCcigaWoLetyyx3QK0dZrLzhRYsWFXjNKrLYrVu3Ep1r//79DB8+nMOHD/Piiy/St2/fUvVp7dq1ANSrV69U7xdxpbiAPjw8nLZt2wJadi+eoYBepBAK6EVECirpDH3nzp0JDQ0lJSWF7du3V0TXxIclJCTQoEEDvvvuOzZt2pTntfT0dIKDgxkyZIjzudTUVHbs2OHcAsxiBfPJyclMmTKFK6+8ssh2t2/fzokTJwo8v2LFCt577z1CQ0O56qqryvDJRPIqLqAH7UcvnqUcepFCeDqgP3z4cJn7JCLibSUN6KtUqUKXLl1YsmQJixcvplmzZhXRPfFRwcHBTJ48mVGjRjFs2DAGDhzozKfPyclh4sSJNGnSxHn8zJkzmTZtGuPGjWP8+PHO54cPH05SUhIdOnRgy5YtbNmypUBbuY+fN28e06dPJyEhgXr16hEaGsrWrVtZvHgxdrudSZMmFbvaRMQdJQnou3btyvTp0xXQi0cooBdxweFweGTbOtAMvYgElpIG9GAuu7cC+jvvvLOceya+rnv37syaNYtXXnmFefPmkZGRAUB0dDRjxowp0TmSkpIAWLNmDWvWrHF5TO6A/uKLL2bHjh1s3LiRxMREMjMzqV69Ov379+fOO++kXbt2ZftQIvm4O0OvwnhSVgroRVw4duwYDocDKHpALgkF9CISKAzDcDugf+GFF1QYT5zatWvH9OnTAejduzfJycmEh4cXOG78+PF5AnOLqxn5onTr1q3EufkinlCSgL5t27aEhoaSlpbGzp07ufDCCyuqexKAlEMv4oK13D4mJoaQkJAynUtV7kUkUJw8edI5q1qSgL5Hjx4AbNq0qUAutIhIICpJQB8aGkr79u0B5dFL2SmgF3HBU/nzoBl6EQkc1h70UVFRREREFHt8zZo1ad68OQBLliwp176JiHhbdnY2x44dA4pf4Wnt/KCAXspKAb2ICwroRUQKKumWdblZ29cpoBeRQJeWluZ8HBcXV+SxVh69tq6TslJAL+KCFdCXNX8ezgf0qampZGVllfl8IiLe4k7+vCX3fvQiIoHMWm4fExNDcHDRpcqsgH7lypXOuk0ipaGAXsQFT87QV69enaCgIEBb14mIfytLQG9VGBcRCVRWrZCSTAi1atWKqlWrkp6eztatW8u7axLAFNCLuODJgN5ut1OzZk1Ay+5FxL+VJqBv0aIF1atX58yZM6xevbq8uiYi4nUlKYhnCQ4OpmPHjoCW3UvZKKAXccGTAT2cX3avGXoR8WelCehtNpuz2r2W3YtIILMC+uLy5y2596MXKS0F9CIulFdArxl6EfFnpQnoQXn0IlI5uDNDD6p0L56hgF7EBQX0IiIFWdvWlSWgNwzD4/0SEfEF7gb01gz96tWryc7OLrd+SWBTQC/igjUgeyqgr1WrFqCAXkT8W2m2rQPzojU0NJTk5GR27txZHl0TEfE6dwP6Zs2aERUVxenTp9m4cWN5dk0CmAJ6ERc0Qy8ikldGRgYnTpwA3J+hr1KlCp07dwa07F5EApe7Ab3dbneOjVp2L6WlgF4kn+zsbNLS0gAF9CIiFmt2Pjw8nOjoaLffrzx6EQl07gb0cD6P3qp0n54OZ896vm8SuBTQi+STlpaGYRjYbDZiY2M9ck4F9CLi73IXxLPZbG6/X5XuRSTQlSagz13pPjUVmjWDK64ol+5JgFJAL5KPtdw+NjaW4OBgj5xTAb2I+LvSVri3WAH9hg0bnKugREQCSVkC+j///JPvvsvi0CFYvNicqRcpCc9EKyIBxNP583A+oD9y5Ag5OTkEBQV57NziW9auXcvUqVNZs2YNWVlZZGVlufX+FStW8PPPP5OYmEhSUhIZGRnUq1ePK664gnvuuafQpc75242Pj2fEiBFce+21nvhYImUO6GvXrk18fDzbt29n6dKl9O/f35PdExHxKsMwShXQN2nShLi4OFJTU/nyy+OAef25Ywe0b18ePZVAoxl6kXzKI6CvWbMmNpsNh8PhHOwl8Pzxxx8MGzaMFStWcPXVV3Prrbc6t+g6depUic4xYcIEPvzwQyIiIrjuuusYNmwY4eHhTJ8+neuvv97l98dVu2lpaTz00EO88cYbHv2MUnmVdsu63JRHLyKBKiMjg7Pnkt/dCehtNptzln7hwjDn89u3e7Z/Erg0Qy+ST3kE9MHBwVSvXp0jR46QnJzs3MZOAkd2djaPP/44NpuNmTNn0rp1awC+/fZbUlJSSE9PZ/fu3TRu3LjI84wYMYLBgwfn+Y4YhsGkSZP4+OOPmTZtGk8++WSx7d53333ccsstTJ06lX79+hXbrkhxyjpDD2ZA/8EHHyigF5GAY91wDwkJITIy0q33dunShfnzd5OWFuV8TgG9lJRm6EXyKY+AHpRHH+iWLVvG3r17GThwoDOoBnNLGsvs2bOLPc/o0aML3PCx2WyMHTsWOF8Ft7h2IyMjGTt2LNnZ2cW2m5qa6vaPw+Eo9rNIYCntHvS5WTP0iYmJbqejiIj4stzL7d0tHGpWuu+b5zkF9FJSpZqhL2uupnJExZd5KqA3DMg9nteqVYsNGzYooA9QiYmJAPTq1avYY0rDKtCYv/5CUe3mDp6KkpCQUOp+SeXhiRn6li1bEhsbS1paGqtXr6Zbt26e6p6IiFelpqYC7i23t1hL7gFatXKwaZOdbds81jUJcG7P0HsiV1M5ouLLrIC+NAOy5d13ISICfvvt/HOaoQ9su3fvBqBRo0YuX7fZbOzZs6fU5//yyy+B80F6SdqNiYkhNja2TO2KWDwR0Nvtdm1fJyIBqTQF8Sy1a9fDZusDQP/+uwHN0EvJuRXQ58/VnDx5Mn//+9/5+uuvadasGVOnTnVeXBZlxIgR/Pbbb8yYMYPHHnuMRx99lNmzZ3Prrbeyd+9epk2bVi7tipREWWfoHQ6YPBlOn4Y5c84/r4A+sKWf218mKirK5et2u52TJ0+W6tybNm3i1VdfpXr16owaNcqtdiMjI0vdroglMzPTebFaloAezt+UWrJkSZn7JSLiK6wxMi4uzu33rlhhwzCigVTi4n4FICkJMjI82UMJVG4F9J7I1QTliIpvK2tAv3gx7NplPt68+fzzCuilNPbt28c999xDTk4OU6ZMKdWFgkhZHTp0CDCLPZVl9RJA586dAVi/fn2Z+yUi4ivKMkP/88/Wo1/YtOl3qlUz/7Vzp0e6JgHOrRx6T+RqFtkZ5YiKDyhrQP/hh+cfK6CvPKyKtoXNhjscDmJiYtw6Z1JSEiNGjCA1NZWpU6fSvXt3t9tNT08vdPbesnTpUrf6BTBo0CBSUlLcfp/4J2u5fZ06ddwu9pSfdWN+27ZtZGZmEhoaWub+iYh4W1kC+p9+sh79zMqVK4iPhxUrzGX3bdt6ro8SmNyaoS/vXE3liIovKEtAf/o0fPbZ+X/v3Xt+uZQC+sBmbQtX2FhkGEah+fWu7N+/nzvuuIPDhw/z0ksvcfnll7vd7vHjx0lLSyu23bi4OLd/clfvl8DniT3oLfXq1SMqKoqcnBy2qeqTiASI0gb06elw/r76T2zevJnGjc1dQJRHLyXh1hVZeeZqKkdUfEFmZiYnTpwAShfQf/MNnDgBjRqBNZ5v3Wr+tgL6w4cPe6Sv4lvMLWdg0aJFhR5T0ore+/fvZ/jw4Rw+fJgXX3yRvn37FnpsUe1aRcdUSVzKyhNb1llsNptzln7jxo1lPp+IiC8obUC/YAFkZ0PTptCgQTaGYVC1qnkTVQG9lIRPTLEoR1R8hTUY2+12qlkJTG6wltvfcQe0amU+tpbd5w7oDcMoa1fFxyQkJNCgQQO+++47Nm3a5Hw+dy2OIUOGOB+npqayY8cO5zY3FiuYT05OZsqUKVx55ZWlajc9PZ3XXnuN4ODgPO2KlIYnKtznpoBeRAJNaQN6K3++b9/z29dlZppjowJ6KQm3cug9kauZn3JExZfk3rLO3SXFhw7Bjz+aj++4w/z3okXnA3qrEGRWVhZpaWm6cRVggoODmTx5MqNGjWLYsGEMHDiQyMhIZ8AeERFBkyZNnMfPnDmTadOmMW7cOMaPH+98fvjw4SQlJdGhQwe2bNnCli1bCrSV+/jC2p0/fz779+9n4sSJedoVKQ0F9CIiRSttQG/lz195JWzd2oU5c+Zw5MhS4BrtRS8l4lZAnztXs22+Cg1WrmbHjh1LfL7cy0pLmiNa2nZLEzwpR7TysQbj0iy3//hjyMmB7t2heXNo2dJ83grow8LCqFatGseOHSM5OVkBfQDq3r07s2bN4pVXXmHevHlkZWU5C4hZNyaLk5SUBMCaNWtYs2aNy2NyB/SFtRsfH8+ECRMYNGhQ6T+QyDkK6EVEilaagP7AAdiwAWw2uPxyiIkx0+i2bfsBeJp9++DMGahSpTx6LIHCrYC+a9euvPnmmyxatIgBAwbkec3dXE13c0Q91a5IUcpSEM9abj98uPm7RQvzd+5K97Vq1XIG9K2sNfkSUNq1a8f06dOd/+7du7fLQojjx48vEJgDLmfkS9OuiCeVV0C/ZcsWsrOznbvciIj4o5ycHI4dOwa4F9D/8ov5u3Nns/aSta3nnj3LiYw0SE+3sWvX+TROEVfcmoJ2N1dTOaLib0ob0K9dC2vWQEgI3Hyz+Zw1Q79lC1hp1Kp0LyL+yNMBfcOGDalatSpZWVns2LHDI+cUEfGWtLQ0Z30kd1ZgWsvtrXnNuLg4mjZtCkCdOmaqsfLopThu3RJ3N1dTOaLib0ob0M+YYf6+9lqwxvHGjSE01FwqtXev+W8F9CLib7Kzs51jlqcCervdTqtWrVi5ciUbN26khbWkSQLe2rVrmTp1KmvWrHHuKnP69OkSv3/FihX8/PPPJCYmkpSUREZGBvXq1eOKK67gnnvuITo6uth2rbSkESNGcO2113rkc0nlZi23j46OJiQkpETvMYzzBfFyz2126dKFnTt3Eh6eBEQroJdiub3GzRO5msoRFV9VmoA+Oxs++sh8bC23BwgOhmbNzNyozZsV0IuIf7J25rDb7c7inp7QunVrZ0CvVXaVwx9//MFdd91FSEgIAwYMYO7cuWRkZHDixAneeOMN7r333mLPMWHCBNLS0ujcuTPXXXcdNpuNxMREpk+fzvz58/nkk08KLHnO325UVBTz58/noYceIikpqUTtihSlNPnzGzfCwYNmfnyPHuef79q1K5999tm5SvetFNBLsUqVtFbSXE3liIq/KU1A/8svZkX76tXhmmvyvtaypRnQb9kC/fopoBcR/2Mtt69duzZBQUEeO68K41Uu2dnZPP7449hsNmbOnEnr1q35/fffycjIICgoiKlTp9KvXz9nIeTCjBgxgsGDB+e5uWQYBpMmTeLjjz9m2rRpPPnkk0W2C3Dfffdxyy23lLhdkaJY6cXuBPTW7Hzv3nmL3llb16WkLAWuV0AvxVIZd5FcShPQW8Xwbr3VXGKfW/5K97n3ohcR8Qeezp+3KKCvXJYtW8bevXsZOHCg8/97S2RkJNnZ2cyePbvY84wePbrAShGbzcbYsWMBWL58eYnajYyMZOzYsSVuV6Qo1gx9WfLnLZ06dcJms5Ga+geAtq6TYqmsrEgu7gb0J07AnDnm49zL7S2FBfSaoRcRf1HeAf3mzZvJycnx6Oy/+J7ExEQAevXqVeC10HN3w61jSsPaKSH/96iodnv27FmidvMXdy4Jh1UNVyoFd5fcZ2XBb7+Zj/PXBo+OjqZFixZs3mxOze/ZA5mZBSeNRCwK6EVycTeg//JLOH3aDNzPrZDKQwG9iPi78gromzRpQlhYGGfOnGH37t1ceOGFHj2/+Jbdu3cD0KhRowKv2e12YmNj2bNnT6nP/+WXXwLng/SStBsTE1OidhMSEkrdL6kc3A3oly2DU6egZk1o167g6126dGHz5o8ICckkKyuU3buheXMPdlgCipbci+RiBfQlHZBz7z1vsxV83SrcfOgQHDuWN6C3tjcREfFl5RXQBwUF0fLcXU8tuw986enpAERFRbl8PTIykpMnT5bq3Js2beLVV1+levXqjBo1qsLaFbG4G9Bb+fNXXAF2F9GYlUdvVrrX1nVSNAX0IuecPn2aU6dOASWbod+zx1wuZbPBbbe5PiYqCurWNR9v2YIz7+/MmTO6gBARv1BeAT0oj17Kbt++fdxzzz3k5OQwZcoUt3KYRTzF3YC+sPx5S9euXQE4e3YDoIBeiqaAXuQcazAODg4udB/b3Kyt6i6/HBo2LPy43MvuIyIiiIiIALTsXkT8w4EDBwAF9FI2kZGRAIXezE5PTy90Fr0wSUlJjBgxgtTUVF555RW6d+9eIe2K5OdOQH/8OFhlG/Lnz1s6dOiA3W7n7Nn1gAJ6KZpy6EXOyZ0/b3O1fj4Xw8i73L4oLVvCr7/mzaPfuXMnycnJNGvWrKzdFhEpV9YMfV1ruZEHKaCvPKxt4fbs2UPbtm3zvOZwOEhLS6Njx44lPt/+/fsZPnw4hw8f5qWXXuLyyy93u93jx4+XqN2lS5eWuF+WQYMGkZKS4vb7xD+5E9D/9hvk5ECzZoVPCFWtWpU2bdqwbp0ZySugl6Johl7kHHcK4iUmwtatULUqDB1a9LEqjCci/srhcHDo0CGgfGfoN23apKrgAc5aQrxo0aICr2VmZgLQrVu3Ep0rdzD/4osv0rewdcvFtLt48eIStRsXF+f2j91VYrQELHcCemu5fWGz8xYzj96M5LV1nRRFo43IOe4E9Nbs/NChZp58UayAfssW87cCehHxF0ePHiU7Oxs4P3Z50oUXXkhISAinTp1i3759Hj+/+I6EhAQaNGjAd999x6ZNm/K8lp6eTnBwMEOGDHE+l5qayo4dOwpsGWcF88nJyUyZMoUri4mKCms3PT2d1157rUC7IqXhTkBvFcQr4j4UYN2MMgP63bvNre5EXNGSe5FzShrQnz0Ln3xiPi5uuT2cD+i3bzcHY+ui+PDhw6Xuq4hIRbCW29eoUcO5V7gnhYSE0Lx5czZs2MDGjRtdbi0mgSE4OJjJkyczatQohg0bxsCBA5157Tk5OUycOJEmTZo4j585cybTpk1j3LhxjB8/3vn88OHDSUpKokOHDmzZsoUt1t3yXHIf76rdyMhI5s+fz/79+wu0K+KujIwMzpw5AxQf0O/bZ07w2O1mDaaimDP0B4DTZGeHs3cvaHdPcUUBvcg5JQ3ov/8eUlPN6vV9+hR/3nr1ICLC3G901y7N0IuI/yjPCveW1q1bOwP6a665ptzaEe/r3r07s2bN4pVXXmHevHlkZGQAEB0dzZgxY0p0jqQkcxuvNWvWsGbNGpfH5A7oXbWblZVFfHw8EyZMYNCgQaX/QCLkLapcXIFFa3a+a1eoVq3o87Zr146QkGCysnYAbdm+XQG9uKaAXuSckgb01nL722+HoKDiz2u3m/vRr1pl5tEroBcRf1FRAT2oMF5l0a5dO6ZPnw5A7969SU5OJjw8vMBx48ePLxCYAy5n5N1tV8STci+3L66ocknz5wHCwsJo164dK1duwwror766jJ2VgKQcepFzrAG5qID+yBGYO9d8fMcdJT937sJ4CuhFxF+U55Z1FgX0IuLPSpo/73CUPH/ekrswnirdS2EU0IucU5IZ+k8/NfPgO3WCfLvfFKlFC/P35s1Qq1YtQAG9iPi+8tyyztKmTRvADOgNwyi3dkREyoNVuLG4gH7dOkhJMXdISkgo2bkV0EtJKKAXOackAX1J957PTzP0IuKPKmLJfbNmzQgKCuLEiRPOFQEiIv7CmqGPi4sr8jhrdv7SS6GkNUZzV7rftk03PMU1BfQi5xQX0G/ebO4/HxQEt97q3rlzB/S1apkBfXp6urMgkIiIL6qIgD40NJRmzZoBWnYvIv6npEvu3cmft7Ru3ZqwsP0A7NwJOTml6qIEOAX0IoBhGMUG9DNmmL+vuQbOrZovsWbNwGaDtDQ4ezaasLAwQLP0IuLbKiKgB+XRi4j/KklAf+YM/P67+didgD4kJIQOHWoAZ8nKsrFvXxk6KgFLAb0IefcQdRXQOxznA3p3l9sDhIdD48bm461bbVp2LyI+zzAMBfQiIsUoSUC/dCmcPg116sC5siEl1q1bZ2AnoDx6cU0BvQjnl9tXqVKFqlWrFnj9t99g3z6IiYFrry1dG67y6A8fPly6k4mIlLPjx487b3QqoBcRca0kAb213L5vX3PFpjvMwnjbAAX04poCehHy5s+72kPUKoZ3881QpUrp2lBhPBHxJ9bsfExMjMt9wj3JCug3bNigSvci4ldKEtC7u11dbrkr3W/d6nD/BBLwFNCLcD6gdzUYnzoFX3xhPi7NcnuLAnoR8SdWxfny3LLO0rx5c+x2O2lpaVq5JCJ+pbiAPjUVVqwwH5cmoG/RogWhoWby/J9/ppeqjxLYFNCLUHSF+zlzzKC+aVPo0aP0bSigFxF/UlH58wDh4eE0bdoU0LJ7EfEvxQX0//sfGAa0agX16rl//qCgIJo3N0O2zZtV5l4KUkAvQtEB/Vdfmb9vv939vKfcWrQwf+/aBXFx5oyXAnoR8VUVGdCD8uhFxP/k5OSQlpYGFB7Ql2a7uvy6dTP3uE9OjsShVfeSjwJ6EYoO6HfsMH9ffHHZ2qhVC6pVM+/S5uSYM1EK6EXEVymgFxEp2rFjx5x1P+Li4lweU5b8ecvll18IZJGTE0JSUunPI4FJAb0IRQf0e/eavxs2LFsbNtv5ZfenTjUAFNCLiO9SQC8iUjRruX1UVBShoaEFXt+1y5wYCgqCyy4rfTvdu3cBdgGwaVNW6U8kAUkBvQiFB/Tp6WYxEyh7QA/nA/rU1FqAAnoR8V0K6EVEilZc/rw1O9+9O0RFlb6dCy+8kOBgM6BfuPBg6U8kAUkBvQiFB/TW7Hy1ahAdXfZ2rID+0KEYwFyqdfbs2bKfWETEw0oS0K9cCa1bw/PPm+lEZdHy3AB5+PBh55gsIuLLigvoPZE/D2Cz2ahT5xQAy5enle1kEnAU0ItQfEDvidl5OB/Q79oVSnBwMAApKSmeObmIiAeVZNu6jz6CTZvg73+HO+6AM2dK315ERASNGzcGYNOmTaU/kYhIBUk9t4zTVf58Tg788ov5uCz585aWLc3rxi1bVOle8lJAL0LFB/SbN9uoWVPL7kXEN6Wnp5Oebu53XNQM/apV5x/PnAmXXw6HDpW+XS27FxF/UtQM/fr1ZtpmVBR061b2tqxK94cORZb9ZBJQFNBLpWcYRqEB/Z495m9PBfRNm0JwsLmvfVzcRYACehHxPdZy+4iICKIKSfx0OGD1avPxSy9BbCwsW2ZeuP75Z+naVUAvIv6kqIB++3bzd5s2EBJS9rauvLIJAGfO1OP06TIsh5KAE+ztDoh428mTJ8nOzgYKDsjWDH2jRp5pKyQE4uNh82YID+8I/KiAPsCsXbuWqVOnsmbNGrKyssjKcq8a7dGjR/niiy/YsGED69evJ+nc/jRbtmwp9D19+vRxHpffzTffzNNPP+1WH0RKkj+/fTucPAlVqsB990H//jBwIGzdCj17msvxBw92r10F9CLiT4oK6PftM383aOCZthIS6gLZQAS//rqaAQM6eubE4vcU0EulZ83OR0REEB4enuc1Ty+5B2jRwgzo7XbzwlUBfeD4448/uOuuuwgJCWHAgAFERUXxwQcfAHDq1KkSnWP79u1MmTIFm81Go0aNCA8P5/Tp08W+LyoqihEjRhR4vm3btu59CBFKFtBby+3btzdXHjVrZs7Q33STWdl56FB49lkzv95mK1m7CuhFxJ8UFdB7+hoyLMxGeHgKp09fwM8/71JAL04K6KXSK2oPek8vuQczj/7rryErqymggD5QZGdn8/jjj2Oz2Zg5c6YzMPn2229JSUkhPT2d3bt3O4t+FebCCy/ko48+olWrVkRGRtKvXz927dpVbPvR0dGMHz/eEx9FxK2AvlOn88/FxsL338MDD8Crr8Kjj8LGjfDWW+ZMfnFatWoFmAX5jh07RrVq1Ur7EUREyl1FBvQAdeums2MHLF9+zHMnFb9Xqhz6tWvXcvfdd9O1a1c6dOjADTfcwLffflvi9x89epQ333yT+++/nz59+tCiRQtatGhR5HtyH5f/54knnijNxxABCg/oc3Jg/37zsacDeoD09PqAAvpAsWzZMvbu3cvAgQOdwTyA3X5+mJ09e3ax56lRowZdu3YlMlJFb8R7SrplHeQN6MFMLZo2zQzog4Jgxgzo0wdKMtRFR0dTv745NqrSvYj4uopccg/QooUq3UtBbs/Qu1pSOn/+fB566CGSkpK49957iz2HlpSKLyksoD940Azqg4OhiGtat1kB/ZEjZnsK6ANDYmIiAL169Sr2mPKQmZnJnDlzSE5OJjo6mk6dOjn39S6Ote2OOxwOh9vvEf9hbVlXWEBvGOdn6Dt3dn2OsWOheXO48UZYutQslvftt9CuXdFtt27dmv3797Nx40YSEhJK+xFERMpdRc/Qd+sWx/ffw5Ej1Th16hQRERGeO7n4LbcC+sKWlN53333ccsstTJ06lX79+mlJqfiV4rasq1/fnGXyFGsxSlpaBBCpgD5A7N69G4BGhVRQtNls7LFyOMpBSkoKjzzySJ7nLrnkEp5//nmX++PmpqBJ8rNm6Avbg373bjh2zJyNb9Om8PP07Wvm1V97LWzbBj16wKxZMGhQ4e9p3bo18+fPVx69iPi8wgL6s2fPb+HpyYC+c+eYc48uZPXq1UVOIkjl4daS+8KWlEZGRjJ27Fiys7O1pFT8TkVtWWeJjYXata1/Nefw4cOebUC8wtqzu7Atvux2OydPniyXtocOHcqMGTNYunQpK1eu5LPPPqN3794sXLiQsWPHYhhGubQrgau4JffWcvuLLoLQ0KLP1aKFGdRfcYW5ZefgwfD88+YsvysqjCci/uD06dPOFcb5A3pr45kqVcBFiaZSi4+3HjVj+fIVnjux+DW3ZuiLWlLas2fPPMeUBy0plfJgBfSFbVnn6YAezGX35sR8S44cWU12djbBwapRKaUzbty4PP9u3749b775JrfffjsrV65kwYIFXHbZZd7pnPil4gL64pbb5xcXB/Pmwf33wxtvmJXvz5wBVyVwFNCLiD+wZueDg4OJjo7O85p1DdmgQcl3+SiJJk3AZjMwjCgWLtzCAw947tziv9yKIIpaUhoTE0NsbKyWlIrfKW7Jvaf2oM+tZUtYsACgFYZhcOTIEerUqeP5hqTCWCuOCpuFdzgcxMTEuHytPNjtdoYOHcrKlStZtWqVAnopsTNnzpCWlgYUH9DnL4hXlJAQeO01c4bpoYdgyhTzd9WqeY+zKt3v3buXkydPFrrqRUTEm6yAPi4uDlu+qN0qiOfpSaGwMKhZ8wyHD4ezYsUxz55c/JZbAX1xS0ojIyM5ZCWMeNjQoUPp1q0b8fHxhIaGsmPHDqZNm8bvv//O2LFj+fjjjwv8xyRSEsUF9OU1Qw8QFtaOs2fNwngK6P2bVTtkz549Lgt1GoZRaH59eYmNjQUotujo0qVL3T73oEGDSElJKVW/xLdZf8fDwsKc36HcchfEcyegB3OmytrSbtcu+PxzyF/rNi4ujjp16nDo0CE2b95M165dS/MxRETKVUkK4nmywr2lVasgDh+GfftCOX78eIVOFohvKtW2dd4wbtw4unXrRlxcHJGRkc4lpZ07d2b16tUsMKc7RdxW0Tn0cL4wHpgzUSqM5/+soGPRokWFHtOtW7eK6g5gbjEKUK9evSKPi4uLc/sn93Z8Elis5fZ16tRxeaN8/35ISTGLhRZXsd4Vux3uvtt8/Oabro/RsnsR8XUVXeHe0qqVVbgknlXW3VWp1Ny6IituSWl6enqFLo2zlpQC+kJLqXlzhj4zsxFgV0AfABISEmjQoAHfffddnv2zc9fiGDJkiPNxamoqO3bsKFV9j9y2b9/OiRMnCjy/YsUK3nvvPUJDQ7nqqqvK1IZULiXNn2/Txiz4VBojR5pbgi5dCuvWFXxdAb2I+Drr77ertN/yWnIPuQvjxbN8+XLPNyB+x60l90UtKT1+/DhpaWl07NjRY50rCS0plbJwOBzOO6y5A/rjx80fKJ/BuGFD80L4zJlQoLEC+gAQHBzM5MmTGTVqFMOGDWPgwIFERkY6/+BHRETQpEkT5/EzZ85k2rRpjBs3rsB2nLlrhVhjUO7nHn74YecFxLx585g+fToJCQnUq1eP0NBQtm7dyuLFi7Hb7UyaNKnQrcdEXLH2oC/se1Pa5fa51akD110HX34Jb78Nr7yS93UF9CLi67y15D53QL9ixRzPNyB+x62AvmvXrrz55pssWrSIAQMG5Hlt8eLFgG8vKXWXlpQGvmPHjjlnUHMPyNad1bg4KI/dFYOCoHlzML++LRXQB4ju3bsza9YsXnnlFebNm0dWVpZzybI723TOmVPwD3Tu58aNG+cc0y6++GJ27NjBxo0bSUxMJDMzk+rVq9O/f3/uvPNO2pVmTbRUaiXdsq4sAT3A6NFmQD9jBjz3XN7ieAroA9fatWuZOnUqa9asca4uKm5SJrejR4/yxRdfsGHDBtavX0/Suf3BtmzZUuh7+vTp4zwuv5tvvpmnn37ajU8gYvLWknttXSf5uRXQ515SOnz4cGcl2vT0dF577TWCg4MLLClNS0sjNja2VAG1Zfv27dSqVavAlhBaUiplZS23j46OJjTXZsrlmT9vadnSCuhbKKAPIO3atWP69OnOf/fu3dvl/7/jx48vMDNvKerCNL9u3bpV+I1UCWye3rKuMH37QuPGsHt3weJ4VkC/rfQTswAAdW1JREFUa9cuMjIyqJq/FL74pT/++IO77rqLkJAQBgwYwNy5c8nIyODEiRO88cYb3HvvvcWeY/v27UyZMgWbzUajRo0IDw8v0Q2BqKgoRuSvwAgui5iKlERhAf3x42BlJ5fHDH3TptajauzefYIjR44USBuVysWtgL6wJaXz589n//79TJw4UUtKxa94I3/eYuXRmzP0X5ZfQyIibigqoD940Pyx2aB9+7K1YxXH+8c/4K238gb0NWvWpEaNGhw5coQtW7ZUeDqfeF52djaPP/44NpuNmTNn0rp1a37//XcyMjIICgpi6tSp9OvXz5neWZgLL7yQjz76iFatWhEZGUm/fv3YtWtXse1HR0cXehNVpDQKC+ita8i4OIiI8Hy74eFQv75ZoBTiWblyJVdffbXnGxK/4VZAD66XlMbHxzNhwgQGDRpU4vNoSan4Am/sQW/JHdAfPny4/BoSEXFDUQH96tXm75YtPXOhOnIkPPkkLFkC69dD7slSK+DbuHGjAvoAsGzZMvbu3cvQoUOdKzAskZGRHD9+nNmzZ/PXv/61yPPUqFGjwmcjS1O8NHdBVAlMxQX05Tkp1KzZ+YB+xYoVCugrObcDeii4pLQwWlIqvs5VQTzwxgy9ltyLiG8oKqC38ufLutzecsEFMGgQzJ5tFsd7+eXzr+UO6MX/JSYmAtCrV68Cr1kpb9Yx5SEzM5M5c+aQnJxMdHQ0nTp1ouX5P8RFSkhIKLd+if8qLKAvzwr3lvh4+N//QJXuBUoZ0IsECm/sQW9p3tx6VIvk5GwcDocKMYqIV2VlZTnT4FwF9J6ocJ/f6NFmQP/hh2ZxvPBw83kVxgssu3fvBqCRi6Vvdrud2NhY9lh/fMtBSkpKntROgEsuuYTnn3++THWepPIqboa+PPLnLXkr3Rc/ySqBTdGDVGreXHIfEQENGhgAOBzxZd6PXESkrJKTkzEMg6CgIGrWrFng9fII6K+80hxrjx0zi+NZFNAHlvT0dMAsTudKZGQkJ61KYh42dOhQZsyYwdKlS1m5ciWfffYZvXv3ZuHChYwdOxbDMMqlXQlcDoeDtLQ0wDtL7nMH9ElJSc6VVVI5KaCXSs1VQJ+dDdbuNuU5GAO0bGmzHmnZvYh4nXVRWKdOnQIrho4cOX+h2qGD59q0iuOBWRzPYgX027dv5+zZs55rUCqdcePG0a1bN+Li4oiMjKR9+/a8+eabdO7cmdWrV7NgwQJvd1H8TGHbHkPFLbkHCAoy00ZWWvlQUilpyb1Uaq4C+qQkcDggJARq1y7f9lu2hJ9+Aiugb9OmTfk2KCJShKLy563Z+WbNICbGs+1axfEWL4YNG6BNG/OmQrVq1Th27Bhbt27loosu8myjUqEiIyMBCp2FT09PL3T2vjzY7XaGDh3KypUrWbVqFZdddlmhxy5dutTt8w8aNMiZviKBx1puHxkZmWfbY6iYJfcXXmj+zsmpBsSyfPlyBg4cWH4Nik/TDL1Uaq4C+twDcXmntKswnoj4kpIE9J5cbm+pW9csjgdmcTwAm82mZfcBxNqOzlWevLV82VV+fXmKjY0FKHYf+7i4OLd/VBMnsBWWP5+TY1WfL98Z+ogIs6io6UJWrFhRfo2Jz9NoI5VaUQF9RVxXnA/oWyigFxGv81ZAD2ZxPIAPPgArvlJAHzi6du0KwKJFiwq8lpmZCVDhOxqtXbsWgHr16lVou+L/Cgvok5PN1M2goNwBd/lo1sx6ZG5dp1oQlZcCeqnUrIA+94BcEcVMLOcD+gs5cOBI+TcoIlKEityyLr/cxfG++MJ8TgF94EhISKBBgwZ89913bNq0Kc9r6enpBAcHM2TIEOdzqamp7Nixo8wFY7dv386JEycKPL9ixQree+89QkNDueqqq8rUhlQ+VkCff4cE6xqybl0ILufEZiuP3m5vzuHDh9lnJe9LpaMceqm0srOznRVKc8/QV8SWdZYLLoCwsLOcPRvGjh3l356ISFEKC+jT0mDnTvNxx47l03ZQEIwaBf/8p1kc7447FNAHkuDgYCZPnsyoUaMYNmwYAwcOdObT5+TkMHHiRJo0aeI8fubMmUybNo1x48Yxfvz4POfKvf2claee+7mHH37YGWjNmzeP6dOnk5CQQL169QgNDWXr1q0sXrwYu93OpEmTqFu3brl9bglM1o0mb1S4t1gBfUxMF9LSzJtUDSuiYfE5Cuil0kpLS3MuT8p9h7UiB2ObDS644Di7d9diz57w8m9QRKQIVkCfP8BZs8b83bgxlOeW3X/5Czz1FCxaBBs3ng/ot27dSlZWFiEhIeXXuJS77t27M2vWLF555RXmzZtHRkYGANHR0YwZM6bE55kzZ06Rz40bN875d/3iiy9mx44dbNy4kcTERDIzM6levTr9+/fnzjvvpF27dmX8VFIZFbbkviIq3FusgD4kpBVgBvRDhw4t/4bF5yigl0rLWm4fGxtLcK51URWZQw/QuHEmu3fDoUPVKqZBEZFCHDhwACg4Q1/e+fOWunXh2mvhq6/M4nhTptQnMjKS9PR0tm/fTqtWrcq3A1Lu2rVrx/Tp0wHo3bs3ycnJhIcXvKE9fvz4AjPzli1btpS4vW7dulV4br4EvsIC+oqocG+xAvrTp80aEMuXLy//RsUnKYdeKi1XBfEMo2KX3AO0bGmuEkhLK+c98kREipCTk+Mszpk/oC/v/PncchfHO3NGle5FxPcUF9BX5Az9yZPhQLQK41ViCuil0nIV0B87Bunp5uOKuLsK0L59FQBOn26ogVhEvObIkSPk5ORgs9moXTvvDcaKmqEHuOoq82I4LQ2+/FJ59CLie3xhyX1UFFhDdZUqbTl27BgbNmwo/4bF5yigl0qrqC3ratSAqlUrph9du0YBYBgtOHbseMU0KiKSj5U/X7NmzTxpSCdPwtat5uOKCOit4nhgFsdTQC8ivsYXltzD+Vn65s37A/Drr79WTMPiUxTQS6Xl7T3oLW3bVgFygBjWr9fWdSLiHYVVuF+zxkxHql8fatWqmL785S9mYL9wIURFmfnPCuhFxFe4CuhPn4Zzmy5UWNqmFdBfcEEvAH755ZeKaVh8igJ6qbSKCugrctePsDAICTHXaK1adariGhYRyaWwgL4il9tb6tWDgQPNx8uXdwDMQmjZ2dkV1wkRkUK4Cuj37zd/R0RAbGzF9MMK6END2wDw22+/aZyshBTQS6XlKqCv6IJ4lsjIJADWr9cgLCLe4UsBPZwvjjdnTjTh4bGcPXuWXbt2VWwnRETyOXPmjHPLxdwBfe7l9jZbxfTFCujT0qoTExPDiRMnWL16dcU0Lj5DAb1UWr4yQ2/2wezL9u3aSVJEvMMKlhvkS/70VkB/9dXmhXFamo3atccCWnYvIt5nzc4HBQURExPjfN4b15BWQL99u43LLrsMUB59ZaSAXiota0D2dg49QL16JwHYt6+CKvGJiOSzbt06ANq2bet8LiMDrBi6Irasyy13cbyMjNsBBfQi4n3W9WNcXBy2XFPxFVnh3mIF9IcOQc+eVwPKo6+MFNBLpeVLS+6bNMkEIDm5gpKuRERycTgcrF+/HoCLLrrI+fzateBwmFsj5VuJXyHuugvsdjh8uCXQUgG9iHidr1S4B6hWzdyZCaBp0ysBWLRoEWfPnq24TojXKaCXSit/QJ+ZCedSSCs8oG/d2vxPMT29BufSskREKszOnTvJyMggLCyMeGvKh7zL7SsqJzS33MXx4G7+/PPPiu+EiEguxQX0FX0NaQ3ZhnEhtWrV4vTp0/zxxx8V2wnxKgX0UillZWVx/Li557sV0CclmVszhYVBzZoV258LL4wBzBsM1n7PIiIVxVpu37p16zx70K9caf6u6OX2uVnF8WAE69dv58SJE97rjIhUermX3OfmjSX3cD6g37HDRp8+fQDl0Vc2CuilUrIGY7vdTrVq1YC8d1btFfxfRq1atYDNAGzeXLFti4hYAX3u5fbgvYJ4ufXrB/XrA1THMAaTmJjovc6ISKWXmpoK5J2hNwzvLLmH3IXxcAb0yqOvXBTQS6VkLbevXr069nPRu7fy5wFq166NFdBv2lTx7YtI5eYqoD97Fs6l1Xs1oM9dHA/uYcmSJd7rjIhUeq6W3Kem4kyZNG9AVhxXAf2yZcs4depUxXZEvEYBvVRKuQN6i7dyn8AK6M21rT//nFPxHRCRSs1VQL9+PWRnQ1ycd8bF3P7yF7DZDOBSfvppt3c7IyKVmquA3lpuX6sWhIdXbH9yB/RNmzalUaNGZGdns2jRoortiHiNAnqplIrag76it6wDiIyMJCzMzHdatszOudVcIiLl7vTp02zbtg3IG9Dnzp/3RkG83Bo0gIQEc3vP5cvb4HA4vNshEam0XAX03lpuD9Csmfl7/344eFB59JWRAnqplIoK6L0xE2Wz2bjggkxgHQ6HjR9/rPg+iEjltGnTJhwOB9WrV+eCXHvT+UL+fG733x8BwNmzt7JunXKTRMQ7igrovXENGRcHvXqZj6dPVx59ZaSAXiolX9qD3mIuu58LwNy53umDiFQ+uZfb23JNxftaQD9kSBAhIceAukyfvt/b3RGRSqqoJffeuoYcM8b8/fbb0Lu3GdCvWrWKtLQ073RIKpQCeqmU8gf0uauT+kJA/8MPkKNUehGpAK7y57OyYO1a87E3t6zLLTQUOnXaAMA339Qo5mgRkfLha0vuAa6/HmrUMJfdr15dl5YtW2IYBgsWLPBOh6RCKaCXSil/QJ+7Oqm3BmMzoF9KePhpjh6FP/7wTj9EpHJxFdBv3GhWuY+JgaZNvdWzgu6808yd37u3HcnJXu6MiFQ6DofD5bZ13p4UCgszi4cCvP46yqOvZBTQS6WUP6C3BuLataFKFe/0qWHDhkAOsbHmHsvffeedfohI5bL23FR87oDeWm7fsaP3C+LldvPNbYFlQAivv64tmUSkYh0/ftxZlNOXltwD3HOP+fvHH6FNm2sB5dFXFgropVLKH9B7O38e4IYbbgDg4MHpgPLoRaT8HTlyhEOHDgHQpk0b5/O+lj9viY2NpU6d7wGYPt3AMLzcIRGpVKzl9hEREYSFhQHm9p5JSebr3lrlCeZqqquvNh9v3nwpNpuNjRs3Osd4CVwK6KVSKmyG3psBfcuWLUlISMAwvsdmc7B27fk7viIi5cFabt+kSROioqKcz+fess7XXHllKnCKpKRIlizxdm9EpDJxlT9/4AA4HBASAnXqeKtnJqs43scfh9OuXVcA/ve//3mxR1IRFNBLpVRYQO+NPehzGzlyJJBKlSprAPj+e692R0ph7dq13H333XTt2pUOHTo4//iX1NGjR3nzzTe5//776dOnDy1atKBFixZut3vDDTfw7bfflvZjSCXhKn8+JwfWrDEf+9oMPcBll3UCPgPgnXe82xcRqVyKqnBfvz7YvRxZDRhg9uPIEahX735AefSVgQJ6qXROnz7NqVNm7qUvzdAD3HzzzYSHh3P69BeAlt37mz/++INhw4axYsUKrr76am699VaMc2uCre9ccbZv386UKVOYP38+ISEhhIeHl6rdtLQ0HnroId54440yfSYJbK4C+i1b4PRpiIiAZs281bPC9ejRAzAj+c8+Mzh50rv9EZHKwwro4+LinM95u8J9bsHBcPfd5uM9e64BlEdfGZQqoC/rTJBmoMSbrME4ODiY6OhowDdy6AGio6PP5dKbFfF+/tm8sBbfl52dzeOPP47NZmPmzJlMnjyZv//9784/+unp6ezevbvY81x44YV89NFHrFixgh9//JE6xazfK6zdr7/+mmbNmjF16tQStSuVk6uAPndBvKAgb/SqaM2bNyc2dhOwhVOnbHz6qbd7JCKVRVFb1nn7GtIyapQ5dm/YEEdQUHt27drFrl27vN0tKUduB/SemAnSDJR4kzUY16hRA9u58s2+NBj/5S9/AdZhs+3n9Gn47Tdv90hKYtmyZezdu5eBAwfSunVr5/P2XOvvZs+eXex5atSoQdeuXYmMjCxTu5GRkYwdO5bs7Oxi201NTXX7x6ryK/7L4XCwfv16IG9Ab+XP++JyezD/m+rRIwF4F9CyexGpOK62rPOFCve51a0L111nPq5Z85+A8ugDXbA7B+efCbIuHu+77z5uueUWpk6dSr9+/WjcuHGR57FmoFq1akVkZCT9+vUr8s6Rp9oVgYL582fPglUA1Ns59AC9e/emSZMm7Nr1HXAvc+fCNdd4u1dSnMREc7vBXr16FXtMRbXbs2fPErWbkJDg8X6J79u9ezenTp0iNDSU5s2bO5/31Qr3uSUkJDB37lRstmdZtiyIjRsh1/0sEZFyUdQMvS8subeMGQOzZ0Nq6gAggl9//fXchJEEIrdm6D0xEwSagRLvyh/QW3dWw8Mh1/jsNXa7/VxxPDOBfu5ctDWTH7CWtTcq5K6QzWZjj5XbUUHtxsTEEBsbWy7tiv+zltu3bt2a4GDz/r7DAatXm6/7ckBv5tEnExZm5oZqll5EKoI/LLkH6NPHrIGSmVkFuJVffvnFWdNHAo9bM/SemAkqDc1AiScVtWXduRX4XjdixAieeOLfwBl2767Cpk2affJ16enpAHm2/srNbrdzshyqdxXXbmRkpPagFZdc5c9v3w4nT0KVKtCqlbd6VryuXbsSFBTEmTPTgKv48EP4v/+D0FBv90xEAllRVe59KaC32+Gee+Chh8BmG8uhQ9PZvHkzrXx5YJdSc2uG3lszQZqBEk+yAnprMPbFO6sNGzbkyit7AOZWI999593+iEjgWbt2LeC6IF779ma1ZF8VGRlJ+/btge+pVu00R45onBSR8pc/oE9Ph3Np9T615B7gzjshLAwMoyPQVdvXBTC3/lx7ayZIM1DiSb66B31+I0eO5Kef5gL9mTvX4OGHfWT5gLhkpRAVNgvvcDiIiYmp8HbT09MLHTstS5cudbvdQYMGkZKS4vb7xHcUVeHel5fbW3r06MGqVauIj1/CihVX8M47MHSot3slxVm7di1Tp05lzZo1nDhxAjC3ky2po0eP8sUXX7BhwwbWr19PUlISAFu2bClxu1lZWcTHxzNixAiuvfba0n8YqXTyB/TW7Hx0NJTDn/gyqV4dbroJZswAGMOvv37Hfffd5+1uSTnQPvRS6eQP6H1ly7r8Bg8eTFTUQgAWLTJIS/Nyh6RIVlHOwlYLGYZRaH59ebV7/Phx0tLSim03Li7O7Z/c1fvF/5w5c4Zt27YBrgP6zp290Sv3mHn0cPbs6wD88AOci+3ER+Xfsahq1aoAnDhxQjsliV8oLKD3tWtIy5gx1qNb+OWXVeTk5HizO1JO3Loi88RMUGl4agbK3Z+aNWt6/LOI9xWVQ+9LwsPDuf32XsAGHA478+d7u0dSlK5duwKwaNGiQo/p1q1bhba7ePHicmtX/NumTZvIyckhNjaWunXrAmbxTX+boQfYtOlrevbMweGA99/3bp+kcPl3LJo8ebLz2i0oKIipU6c6UyyLYu2UtGLFCn788Ufq1Knjdrt///vf+frrr2nWrFmJ2xU5e/Ysp06dAgqmbfracntL9+7Qrp0BhHP8+HX8+eef3u6SlAO3AnpPzASVhmagxJP8JaAHa096s9r97NlnvdsZKVJCQgINGjTgu+++Y9OmTc7nc++WMWTIEOfj1NRUduzY4dzT1tPtpqen89prrxEcHJynXRHIu9zedq4a6O7dkJYGISHQpo0XO1dCDRs25IILLiA7O5vevbcD8O67ZqV+8T2F7VgE5sSNL++UJALnZ+ftdrszhc6XryHBLPY8ZoyVsnkvv/yiPPpA5FbE6q2ZIM1AiSflDugNw3dz6AE6d+5MkyYbAZg714FWSvmu4OBgJk+ejGEYDBs2jH/+85/8+9//dgbsERERNGnSxHn8zJkz6d+/PzNnzixwrkceecT5Y+Wp534u902Awtq97rrr2LZtG+PGjcvTrggUnT9/0UX+US3eZrM5Z+nDw+cSFQU7d8KCBV7umLhU1I5Foee+cL66U5K2PhY4H9DnnvTz9SX3ALfdBmFhmUBLPv9ctW8CkVtF8XLPBA0fPty59UFhM0GpqamkpaURGxtLXFxcqTvpbrsihTEMI09An5ICZ86YdzDr1fNy51yw2WyMHduBv/0tjVOnYklMBO3A6Lu6d+/OrFmzeOWVV5g3bx5ZWVnO2c+SziYBzJkzp8jnxo0bl2dMddVufHw8EyZMYNCgQWX4RBKoXAX0K1eav/1hub2lR48efPnll6xYsYBbb/0rb71l7kl/+eXe7pnkV9SORXa73ad3StLWxwJF70Hvq0vuAaKiYNCgE3z+eQ1WrbqYzMxM5000CQxuBfTWTNCoUaMYNmwYAwcOJDIykvnz57N//34mTpxYYAZq2rRpjBs3jvHjx+c51yOPPOJ8nHsGyvLwww87L1jdbVekMBkZGZw5cwYwA/rNm83n69Qxt/bwRSNG3MbDD8/HMG7mvfcOk5BQy9tdkiK0a9eO6dOnO//du3dvkpOTCxw3fvz4AuOipbhqzSVpV6QoVkDfrl0753PLlpm//WnBmzVDv2TJEr77zuCtt2x8+SVMmwbVqnm3b5KXdkoSf1dUQO/LM/QAjz0Wx+efQ07Otfzww2oGDfKjgV6K5fYus56aCdIMlHiDNTsfFhZGRESETy+3t9SsWZNOnQ6xciV89VUWb73l7R6JiD9LTU3lwIEDALRt2xaA7GywVh3702Rkx44dCQsL48iRI8TF7aBt23jWr4dZs2DsWG/3TkQCSe4l92AWEvWHJfcAHTrYqV59M0ePtuSVV06h0CmwuB3QQ8lngjQDJb4m93J7m83mN3dWJ05syR13OEhJqceuXVk0aRLi7S6JiJ+yZucbN27snLVcvx5OnTL3Us5Xr8ynhYWF0aVLFxYvXszSpUu46654HnjAXHavgN63+PNOSSJQcIY+JQXOnvXdtM38rr02ifffb8miRa3IyYGgIG/3SDxFZdylUvGXPejzu+WWKwgJMRNcX3hhvZd7IyL+bO3atUDe/PmlS83fF18M/rbBS+5l97ffblbpX7UK1qzxbr8kr6J2LHI4HD69U5K2PhbAWZA2/5Z1der4RyHRv/61IXCUs2fr8NVXZ7zdHfEgP/uzLVI2/rRlXW7BwcFcfLF5Z3j27Ewv90ZE/JmrgnhW/nz37t7oUdnkDuhr1IDBg83n33nHe32SgorasSgz0/y75qs7JWnrY4GCM/T+stze0rZtPJGRnwPw/PPpXu6NeJJGG6lUCgvofTmH3vLAA80BSE5uy+7dKuAjIqXjKqC3Zuj9KX/eYlUgX79+PcePH+cvfzGfnznT3MVEfEPuHYs2bdqU57X09HSXOyXt2LEjzzadnmxXOyWJu/IH9P5Q4T43m81G3747AUhMjOPcBhASABTQS6XirzP0AEOGNCU09DAQweTJC73dHRHxQw6Hg/XrzbQdK6A/cgS2bTNf98cZ+tq1a9O0aVMMw+CPP/7gyivNC+y0NHBRf1e8xNqxyDAMhg0bxj//+U9nXntOTg7jxo0rsFNS//79mTlzZoFzPfLII86f3DslWT+5bwK4avff//431113Hdu2bSvQrkhhCgvo/eEa0jJ4cBtgPmBXkeUAooBeKhVrMK5RowanT8Phw+bz/jAY22zQrdv5ZfeGYXi5RyLib/bs2UN6ejohISE0b26u+rGW27dsCbGxXuxcGeRedh8UBHfeaT6vZfe+xdqxqHPnzsybN4+MjAwAoqOjGTNmTInPM2fOHOePtS1d7ues8xbW7qxZs6hWrRovvPCCW+1K5ebvS+4BLr/8cuANAKZPd5CpLM6AUKoq9yL+KvcMvTUQR0T4z0Xs2LENWbQI0tISWLbsDxIS/HA6TUS8xlpu36pVK0JCzN0y/Hm5vaVHjx589NFHLFmyBICRI+GZZ+CXX2DXLtAErO/IvWNR7969SU5OJjw8vMBx2ilJfI2/L7kHaNiwIRdeuIkdO5JISanHnDlw883e7pWUlQJ6qVSspXk1atTIkz9vs3mxU24YNCgCuz0Th6MpL774gQJ6EXFLoBXEs1gz9H/88Qc5OTk0aRLEFVeYAf3778OkSd7tn4j4N8MwCq1y708z9AB9+17Kjh3TgSd57jk45GZZpiZN0D72PkYBvVQahmGwceNGwLxDadXG8aeBOCICOnc+yfLl1fnmm2wyMjKoWrWqW+fYtQteeAFuugkuu6x8+ikivskK6Nu1awdATg4kJpqv+fMMfdu2bYmMjOTEiRNs3LiRiy66iLvuMgP6N9+EBx+E6Ghv91JE/NXx48fJyckBzIA+M/N8IOxP15EAffr04c03/wr8gzVrgpk40f1zzJsH/fp5umdSWgropdLYsWMHhw8fJjQ0lE6dOvHjj+bz/jYQ3357LMuXw9mzVzJ79mxuv/32Er933jy47TazWNQnn8CWLaCtckUqj/wz9OvXQ3o6REVB69be7FnZBAUF0b17d37++WeWLFnCRRddxNChEB8P27ebM/T//a+3eyki/spabl+1alWqVKnCrl1gGBAW5n/XUZdddhmQBPyFIUPeokqVKiV+744d5k3gxx+Hq6/2nxWugU5F8aTSsHIru3TpQpUqVfx2qdTAgdZ/tr14881PS/QehwOeegoGDDCDebvd/P3II+XWTRHxMWfPnnXmHlsBvZU/f/HFEBTkrZ55hrV9nTXWh4XBK6+Yr738MmzY4K2eiYi/Kyp/3t+C2lq1ap37GzCDW275hlmzKPHPd99BZCSsXAlffeXtTyIWBfRSaSxevBg4n2vpT3vQ59a0KcTHZwLBLFoUzq5du4o8PjXVDOQnTTLvJt97r7kMFeDdd+Hcta+IBLhNmzaRk5NDtWrVqFevHhAYBfEsuSvdW665BgYPNlMLxo0zx0AREXcFQoX73K644goAfv31V7feV7MmziX6//ynObaK9ymgl0rDusjr2bMnAHv2mM/742A8eHDouUcDeP/99ws9btUq6NwZfvgBqlSBDz6A1183c+dHjjSPGTsWsrPLu8ci4m25l9vbzk0pBUJBPEv3cx9i+/btHLb2JAVefNEc/377zUw1EhFx1/r16wFocm7LDH+scJ9bnz59APjFmuFxw4MPQrVq5qqnT0u2UFTKmQJ6qRSOHTvGhnPrLRMSEnA4/Pvu6oAB1qNreP/9GTgcjgLHvPMO9OgBu3ebs/rLlsHw4edf//e/ze36/vwTXnutInotIt6UP3/+6FHYutV8LRAC+mrVqtGmTRsAllpLD4DGjeGxx8zHDz0EJ096oXMi4tesMcVK7fHXtE1L7969CQoKYvv27fz1r38lKyurxO+tVg3+9jfz8ZNPalLIFyigl0ph2bJlGIZBfHw8tWvX5vBhyMw0c8nPrTz1Kz17QkyMAdRi795a/O9//3O+duYMjBpl/pw9CwMHwooV0L593nPUrAnPPms+/uc/4eDBiuu/iFS8/AG9NTvfogXExXmrV55lLbvPHdCDefF54YVw4AA8/bQ3eiYi/sowjAIBvT9PCgHExMTwzDPPAPDiiy9y+eWXk5SUVOL333+/eR25fbu5+lO8SwG9VAqF5c/XrQshId7qVemFhMBVV1lVWAbw3nvvAeZsfM+e5uy8zQaTJ8PXX5sz8a7cfTd06QInTsDDD1dI10XES/IH9IGUP29xlUcP5pJ7q0DeSy/BuR1MRUSKtXfvXg4dOkRwcDCdO3c+95z5mr8uuQd49NFHmTNnDtHR0SxevJhOnTrlmSAqSmQkPPqo+fjpp80JJPEeBfRSKQRS/rxl4EDr0QC++uorvvrqDJ07m3nz1avDjz/CP/5hrkIoTFCQmVNvs8FHH8GCBRXRcxGpaGlpac7Zl7Zt2wKBHdAvX76czMzMPK/17w+DBpnLQ1UgT0RKypqd79ChA+Hh4YD/L7m3DB48mBUrVtCuXTsOHz5M3759+fe//41RggHy3nvNibG9e+Httyugs1IoBfQS8LKzs/njjz+AgjP0/jwQX3MN2GwG0IlTp55h6NAwUlOha1czqL/yypKdp0sXuOce8/F994EbaVQi4ies2fmGDRsSExNDTo65lzAERv68pVmzZlSvXp0zZ86wZs2aAq+/9JI5W/+//8Fnn1V490TED+Vfbn/8uLmyEfx7ht7SrFkzli5dyvDhw3E4HDzyyCMMGTKEY8eOFfm+8HAzZRPgX/+CjIzy76u4poBeAt7atWs5deoUMTExtG7dGgiMgL5mTejWzVp2/wCGYeOee2DhQvc/17/+BTVqmBVLX37Z410VES/Lv9x+wwZIT4eoKDhXRy4g2Gy2AvvR59akyfllon/9qwrkiUjxCsufj401l54HgqpVq/L+++/z5ptvEhoaytdff02XLl1c3hjN7S9/MQuPHjoEr75aIV0VFxTQS8Cz8ucTEhKwn1t/7q970Od37bXWo9PY7X9h8uQjhIW5f564OLPqPcBTT8H+/R7qoIj4BCugb9euHXB+uX23bmbqTSApLI/e8vDD5s4fBw7AuZpQIiIunT59mtWrVwPnt8YMhEkhV2w2G6NHj2bx4sU0atSIHTt2kJCQUOT2yKGh5nUjwHPPnV+5IBVLAb0EvPz58xAYOfRgVhn917+gVas7cTje47MyrCG9804zl/bUKXPmSkQCx9q1a4HALohnsQL6xYsXu8wDzV0g78UXYdOmiuydiPiTVatWkZ2dTe3atWncuDFwfoY+EJbbu9KlSxdWrlxJv379OHPmDCNHjmT06NGcOXPG5fG33WbulpKaaqY1ScVTQC8BL3+Fewicu6tRUeb+yqNGXQzAzJkzS30uu93cj95uh88/h/nzPdVLEfEmwzBYv349UDkC+q5duxIUFMSBAwfYZ1155zNggLnCSQXyRKQouZfb22xmmmOgXEMWpXr16sydO5dJkyZhs9l4++236dmzJ7t27SpwbHDw+e1A//tfM7CXiqWAXgLavn372LdvH0FBQXTr1g0wZ6CPHjVf9/cl95ZbbrkFm83GkiVLXA62JdWhg3lxCzB+vLYhEQkEe/bs4eTJk4SEhNCiRQuOHoWtW83XLr7Yu30rD1WrVqVjx45Awf3oc3vpJQgLg19/NW9iiojklz9/HipHQA9gt9t54oknmDdvHtWrV2fVqlV07tyZuXPnFjj2hhugfXtzyf0LL3ihs5WcAnoJaNZy+/bt2xN5rnKJNRBHR0NMjLd65ll169bl8ssvB+Djjz8u07mefhrq1DEv+P/7X0/0TkS8ycqfb9myJSEhIZzb9IPmzc0tLgNRcXn0YObR5y6Ql55eET0TEX9hGIbLgD7Ql9znd/XVV7Nq1Sq6detGWloa1113nXPVl8VuP1+T5JVXzCJ5UnEU0EtAc5U/H6h3Vm+77TbAXHZfkv1DCxMTA//5j/l48mTYvdsDnRMRr8lf4T6Ql9tbiqp0n9vDD5uV75OSSlcg79gxc2eQDh3M1Q5KVRIJHPv27ePgwYMEBwfTuXNn5/OBeh1ZlIYNG/L7779z5ZVXkpOTw2uvvVbgmIEDzUKrGRlmgTypOAroJaAFcv58ftdffz1hYWFs3LiRP//8s0znGjYMLr0UTp+GiRM90z8R8Y7KGNBbY/7q1as5depUoceFh58vkDdlCmzeXLLzr10L99wD9eqZY+Sff0JiIlx9NVx3HezYUcYPICJeZ83Ot2/fnqpVqwLgcJzfCSjQriOLExYWxiOPPALAjBkzOJlv30+bzSzUDPD66+dXMkj5U0AvAevUqVPO/TNdzdAHSv68JSYmhoEDBwJlK44H5qD86qtmoZOvvwYX6VIi4idyB/Q5OWbgCXBuB6aA1KBBA+rVq0dOTg4rVqwo8tiBA82f7GyzdkhhC5wyM+GTT+CSS8xc0bfeMmei2rQxx8u//tUcM7/5Blq3hn/8Q8v4RfyZq+X2ycmQlWUuMa9b11s9857LL7+c5s2bk56ezqxZswq8fsUV5oRQZqa5ylMqhgJ6CViJiYnk5ORQv359GuRKdAqULetcsZbdf/zxxzgcjjKdq02b87Pz48ebs/Ui4l8yMzPZsmULYAb0GzfCyZMQGQlt23q5c+XIZrOVKI/e8vLLZoG8n3+GL77I+9r+/fDEE+bfjFtvhUWLzMD9xhvht99g3ToYO9asObJ2LVx1lXkx++yz5lZOs2apir6IPyqqIF7duuY4UNnYbDbuvfdeAF5//fUCKZ422/lA/t13tVqpoiigl4DlKn8eAnfJPcA111xDTEwMSUlJ/P7772U+35NPmktKd+1SPpSIP9q8eTPZ2dnExMTQoEED53L7bt0gKMi7fStv7gT0TZvCuZWkzgJ5v/4K118PjRub+fXJyXDBBfDUU+aN4c8+M2eizu1kBUCrVvDDD/DVV+Y5Dxww92i+5BJYtcrjH1FEysmZM2dYvXo1AN1zLWcK5GvIkhoxYgRVqlTh/9u777CmrjcO4N8wFYJsi1LrBBQHCqJScIDWBeKoe1sXIlq1ztat1WrV1r3158A66katWhU3LlAUt6IIVkVAZMjM+f1xTNgjkuSS8H6eJw+Ye3PviYSXe+45533v3LmDoKCgPNvd3ID27fmspzlzBGhgGUQdeqKx8ls/D2h2MC5Xrhy6d+8OoOTT7gE+ivfHH/z7RYuAp09LfMgiSST8QQgpuezT7UUiUZlYPy/l5uYGADh79izevXtX5P5TpvAEeZGRfElW69bAgQNAZibvuO/dyzvys2YVPtVWJOLr6MPC+HpSAwPg8mWgcWNgxAggOlpR75AQoizBwcFIT09HxYoVUb16ddnzZS3DfX7MzMzQq1cvAMC6devy3Uc6Sr9zJ3D/vqpaVnZRh55oJIlEIpsqlX2EPjMzK5mJpq2hl5JOu//777+RqoBC8t27A999x2vSjx6t3Kmj79/zUlpmZkCvXsC2bUAxrsMJIQUIDQ0FULYS4kk5OTmhcePGSE5OxtJi1OAsX57XpgeA2Fh+Q3PUKD6lPjCQT7HX1S3++cuVA37+GXj0iCcaZQzYuBGwseFT/NPTv+htEUJUIPt0e1G2aTiaPCgkj1GjRgEA9uzZg5iYmDzbnZyArl153Js1S9WtK3uoQ0800oMHD/DhwwcYGBigQYMGsuffvOEXUdrafOqkJmrRogWsra3x4cMHnDhxosTHE4mAVav4+tJTp3giKGVgDPDx4eut4uP5aNjgwYCVFS8HNXcucPMmjd4TIo/sI/SxsbxzCfDfKU0nEokwe/ZsAMCqVasQXYyh8U6dgP/9D1i3jpeyW7Om5LkGvv4a8PcHLl4EGjXi8W3cOF7q7uzZkh2bEKIc+a2fB6hDL9WkSRM0bNgQqamp2LZtW777zJ3LryH//hv4vHqBKAl16IlGkq6ZbNq0KXSzDalIA7G1teYmM9HW1kbv3r0BKGbaPcBHzRcu5N//9JNykpzs2gXs389/Ljt3AtOn84tfxnhW7lmzAGdn/rP74Qf+ByI+XvHtIESTZO/QX7vGn7OxASwsBGyUCnXs2FE2Sr9kyZIi9xeJgEGDeEm6ChUU2xY3N+DGDWD9esDcnE9Dbd2aT8unpHmElB6MMVmHvlmuciA05Z4TiUSyUfp169blm4i5Xj2eSBQApk0DHj+W70EzNIuPOvREI5XF9fPZSafdHz16FPEK6vX++CNfR5qUxC94MzMVclgAfCTMz49/P3MmTyI1bx5PIhUVBWzaxKduicV8lsXWrXz6q4UF4OEBLFmS9bMlhHBxcXGI/LzGqF69emVqur2USCTCrM/zPYs7Sq9M2tp8Hf2TJ8Dw4fy56dOB/v2BlBRBm0YI+SwyMhKvX7+GtrY2GjdunGNbWbmOLI6+ffvCyMgIT548wdkCphvNns3j3smTvOqHPA8rK56sNCNDte9LHX1Rhz40NBTDhw+Hs7MzGjZsiO7du+Po0aNyHUMikWDnzp3o1KkTGjRogGbNmuHHH3/Eixcv8t3fw8MDdnZ2+T5mzpz5JW+DaLCiMtxr6vp5qYYNG6JOnTpITU3FgQMHFHJMLS0+FdXIiCd4KsaS1GJhjI+4f/jAR+CnTcu5vXJlYOhQnpzq/XteVmr8eD5rICMDOHcOmDSJ132+c0cxbSqJ3PExv7VlRaH4SBTh3r17AHhNdhMTkzLZoQcAT09PODk5FXstvSqYmvLlS2vX8ovdXbuAVq34DUtCiLCko/MODg4wNDSUPZ+SkjVqTB16QCwWY8CAAQAKTo5nYwPMmMFzI5mYFP9hbMyvDxct4qVA375V+ttRa3JPOr527RqGDh0KXV1deHp6wsjICKdOncLEiRMRFRUlq01YlFmzZmHv3r2oVasW+vfvj5iYGBw/fhyXL1/G7t27UatWrTyvMTIywqBBg/I8X0+Ti+kSub179w5PnjwBkHeqlCbXoM9OJBKhX79+mD59Ovz9/TFkyBCFHLdaNZ40auhQHqA7dAA+59r6YuvW8bX55coB27cXvhRCX59PUW3dGli2jGfdP36cj9jfvs1H8W/e5H84hJBffJSuLUtKSir2cSg+EkXIPt0+MxOyKfdlrUMvXUvfqVMnrFq1Cj/99BMsLS2FbhYAnjfE1pYnH712jZcTPHKEr68nhAijoPXz0qTK5csLd51R2vj4+GDNmjU4dOgQXr9+jcr5lACZNevLEuPt3cuvN8+d40sw9+0Dco3TESkmh/T0dNamTRtWr149FhYWJns+ISGBeXp6Mnt7exYeHl7kca5evcpsbW1Z3759WWpqquz5K1euMDs7O9avX788r3F3d2fu7u7yNLfEmjdvzmxtbVnz5s1Vel5SMocOHWIAWN26dfNs69SJMYCxtWsFaJiKPX/+nAFgIpGIvX79WmHHlUgY8/Li/48ODoxl+xWW25MnjBkY8GP9+eeXHycmhrHq1flx2rdnLCPjy4/1pQqKj66urszW1pbZ2tpSfCQq5ePjwwCwKVOmsLt3+e+HoSFj6elCt0z1JBIJc3Jykv1/lDaPHzNmZ8d/RgYGjB08KHSLVEOT44gmvzdN17RpUwaA7dy5M8fzZ87w31E7O4EaVkq5uroyAGzu3LkKP/b9+4zVqcP/33V0GPvjD34dWhbIE0PkmnIfFBSEiIgIeHl5wd7eXva8WCyGr68vMjIyijW9d9++fQCAcePGQU9PT/a8i4sL3NzccOPGDYSHh8vTNEJkClo/L5HwNdkAULOmqluletWrV4eLiwsYY9i9e7fCjisS8dJL5uZ8ivvcuV92nMxMvhY/ORlwdwfGjPnyNpmZ8Sn55csD//zD12ypWkHxUUsrK8yW1vgYGxsr9yO/BDikdMk+Qi+dbt+kieYmBC1MaVtLn5uNDRAUxEuEJifz2UYLF1KyPEJULSUlBcGfLxZzz/Kk9fP5kybH27BhAzIUvOC9Th2eGLl3b77Mcvx4XtY4IUGhp1F7cv1Zv379OgDAzc0tzzbpWmXpPoW5du0aDAwM4OjomGebm5sbLl68iBs3bqB69eo5tqWlpeHgwYN4+/YtKlSoAEdHR9SuXbtYbY+NjS3WftnRBat6Kmj9/M2bPMGaWAw0by5Ey1SvX79+uHr1Kvz9/TF+/HiFHdfKik+V79GDX3R6eQG5/u4VackS4MoVviZ/61a+Rr8kGjbka1IHDADmz+c1ULt0Kdkx5VFYfMy9T2GEiI+5pxUS9ccYk62hr1+/vqy+eln+UXt5ecHR0RHBwcFYunQpfvvtN6GblIOJCV9CNH48LxX68888E/7GjXxJkqYIDQ3FypUrcfv2bXz8+BEA8OnTJ7mOIZFIsGvXLuzZswcvX76EgYEBmjZtivHjx6NatWp59vfw8EBUVFS+x+rVqxfmfumdaaJxQkJCkJ6eDktLS9SoUSPHNspwn7/u3btj3LhxiIyMxLFjx9C5c2eFHl8s5nlGvv2WV1ratw8IDeWVkerWVeip1JZcHXppQqaq+WQUMzY2hqmpKV5KFykXIDk5GdHR0bC1tYW2tnae7dJAnF/yp+joaEydOjXHc82bN8fixYthVsRiFrpgLRtSU1Nx8+ZNAHlH6Pfv5189PTXr4qgwPXv2xI8//ohbt27h0aNHsLOzU9ixu3fn2ej9/YGBA/kadgOD4r02NJSvwQeA5csVl6Swf39eFmrFCt6mGzd4plRVKCw+AnyEsLTGR6J5Xr16hfj4eOjo6KB27dplNiFedtK19N7e3li1ahUmTpwIi1JWv09HB1i5kif5HDOGl/B89gw4eBD46iuhW1dyufOMHDt2DMnJyfj48SPWrVtHeZiI4LKvnxeJRDm20Qh9/vT19TFkyBD8/vvvWLduncI79ACfHTpmDNC4MR9MevSIzzjbtCmrNF5ZJteYWGJiIgAeFPMjFouRUMQcCOl2sVhc4DGyn0uqW7du2LFjB65evYpbt25h7969aNGiBS5evAhfX18wmpdGAAQHByM1NRWWlpY5/qAzxqdkA0C3bgI1TgCWlpZo164dAGDXrl0KP/7Klbwu/JMnwJQpxXtNaiofRU9PB7y9gcGDFdumJUv4DIyEBD5tVVXTsoqKj1paWhQficqEhoYCAGrXro3ERD08fMifl3cmjaaRjtInJSWVmoz3+Rk1ii8fMjEBrl7lF66loYpHSWRkZGD69OkQiUTw9/fH/PnzZfFSW1sbK1euLLCSR3ZBQUHYu3cvGjdujIMHD2Ly5MlYtGgRNmzYgMTERMwuYM1VhQoVMGbMmDwPd3d3Bb5Lou4KSogHUIe+MCNHjgQAnDx5Es+fP1faeVxcgJAQnhw5ORno25d39NPSlHZKtaA2dej9/PzQpEkTmJmZQSwWw8HBAevXr4eTkxNCQkJw/vx5oZtISoHs6+ez31m9d49nRNfX55nZyxJpTXp/f3+Fd+xMTYEtW/j3q1bxknJFmTOHj9BbWPAp8rlugJeYri7PjFq5MvDgAb9hoOn9WYqPJLfs6+elKz1q1eK/d2WZdJQeAFauXIn3798L26BCtGnDM9/b2vKOhKsrcPiw0K36cgXlGQH4zcrSnIeJ8oyUHdIOfe718wBNuS9MzZo10bZtWzDGsGHDBqWey9KS17X/5Rf+71WrgJYts34+ZZFcU+6lo0MFjTIlJiYWODolJd2ee4Qp+zGyn6swWlpa6NatG27duoXg4GC0atWqyNcQzVbQ+nnpNULbtnzNdlni7e0NAwMDPHv2DNevX0fTpk0Vevy2bQFfX2DNGmDIEODuXT6qlJ+rV3lNUYCvwVfWFFIrK77EokUL/rNftAjINRtd4YqKjxKJBMbGxoUeQ6j4KL2AkYe3t3epSyxGuI8fP8rKJTo4ONB0+1xyr6VfuHCh0E0qkK0tT5bXowdw5gyfdTR/PjB5svolNywsz4i0Y055RoiQIiMjERUVBW1tbTg7O+fYxhiN0Bdl1KhROHXqFDZv3ow5c+ZAX19faefS1uax0MWFL7cMCgIcHYG//uI3Q8sauUbopes381sHGh8fj7i4uALXj0oZGBjA0tISkZGRyMzMzLNdOt0qv6Qm+TE1NQVQdEKVq1evyv0oLXVqSfEwxgrMcC9dP//996pulfDEYjG6fM4O5+/vr5RzLF7MR/8iI4Eff8x/n6QkntVeIuHBV9k/i2bN+F1bgN/FPXVKuecrLD4C/PNZWuOjmZmZ3A+tkmYxJEohkUgwcOBAPHr0CF9//TV++OEH6tDnkj3jfWkfpQf4TKgTJ/iNU8Z4PKtdG9i2jWd9VheF5RnR0tKSKw/T119//cV5Rv744w/MmTMHnTt3xrBhw74oaTLRTNKb2w0aNIChoWGObXFx/DoGoBH6gnh5ecHa2hrv37/HfumFt5J5evIKVo0aAe/f80GmYkz00ThyXZFJ71ZdunQpzzZpR6pJkyZFHqdJkyZITk6WlYXITnrs3HfGCiJdJ2htbV3ofnTBqvmeP3+Od+/eQU9PD05OTrLnnzzho8ba2kCnTgI2UEDSafd79uxReEkRADA05BeXWlrA9u08gVNuU6bwn4W1NV97rwrDhwNDh/KbCH36AMVYnvnFCouPUqU1PhLN8euvv+Lw4cPQ19fHgQMHYG5uiWvX+Dbq0Gfp1KkTGjVqhKSkJCxbtkzo5hRJVxdYvZpnvLew4InyBg9Wr4495WEipV1h6+el07ktLHiJXJKXjo4Ohg8fDgBYt26dys5bvTqvmjRgAL/p6ePDO/dliVw9VhcXF1SpUgUBAQF48OCB7PnExESsWbMGOjo66Nq1q+z52NhYPHv2LM/dz549ewIA/vzzT6Rly2Jw9epVXLp0Cc7OzjmmSj19+lRW2iS7mzdvYuvWrdDT00Pbtm3leStEA0lvKjk5OaFctjT20s6luzuvV14Wfffdd7CwsMC7d+9w5swZuV7LGMPx48fRqVMn/Prrr/mOHAO8nMjkyfz7kSOBd++ytp0+zS9GAV6irqAp+YomEvFRemdnIDaWJ0SUszpSsRUUH7Ovo6T4SJQpICBANvK8du1aODs74/594ONHftONknlnUae19NkNGwaEh/NZUdk79nXq8Jup6tCxFwLlGSHFUViHPiyMf6Xp9oUbNmwYtLW1cfHiRVnpVFUoV45nvK9XD4iO5uU/yxK5VmDp6Ohg/vz5GDZsGPr27QsvLy+IxWKcOnUKkZGRGDduXI4LTX9/f6xatQp+fn4YM2aM7PlmzZqhR48e2LdvH7p27YqWLVvKSo6IxeI8GUpPnDiBTZs2wcXFBdbW1tDT08Pjx49x+fJlaGlpYc6cOahcuXLJ/ieI2itq/XxZnG4vpauri169emH16tXw9/eXZb4vjEQiweHDhzF//nzZaHFAQAAuXLgAf3//fMs9zZ7N6yiHhgIjRvCbKfHxfG09AIweDXz3nSLfWdHKleNLLpyceGbUkSP5iJaik/EVFB+lHXZDQ0OKj0RpHj9+jH79+oExhtGjR2PI51+6oCC+3dlZ/dZcK5t0lD4kJATLli3DggULhG5SsYjFwKRJPBP+mjXA77/zpK+DBgHz5vGSoH37lr6ftzrnYaI8I5ovNTVVdq2TX0I86YBzWUusLC9ra2t4e3vj4MGDWL9+PVaqakomAD09YPNmPhtt504eB8vKz0vuOeXNmjXDrl274OTkhBMnTmDXrl0wMTHB77//jlGjRhX7OHPnzpWVL9mxYwcCAwPh7u6Offv25akf2rRpU7i7u+P58+c4ePAgduzYgadPn6Jjx47YvXs3evToIe/bIBoov/XzkZE8S7BIBCihLKZa6du3LwDg4MGDSE5OLnC/zMxM7N69Gw4ODujWrRuCg4NhaGiIwYMHw8DAAKdOnYKTkxNu3LiR57X6+sCOHXx66OHDfMRo7FggKoqvsZcmxFO1KlWAPXv4sosdO7JmCyhafvFRWm2hOBeYUhQfiTw+fvyILl264OPHj3Bzc8sxhZzWzxdMXUfppcRiPisqPJzHVguLrI59aRyxLyzPiEQiKdV5mGjZpuYLCQlBWloaLCwsULNmzVzbgIsX+U0yX1+BGqhGpP3B7du3F3jzTVmaNMnK5TRypOpKFwuOkQI1b96c2drasubNmwvdFFKEuLg4JhKJGAD25s0b2fMrVjAGMObqKmDjSgmJRMKqV6/OALC//vorz/a0tDT2v//9j9na2jIADACrUKEC++WXX1h0dDRjjLG7d+8yGxsbBoDp6emxdevWMYlEkudYCxfy/3d9ff5VS4uxK1eU/haLtHQpb4+ODmMXL6rmnJoaRzT1fambzMxM1qVLFwaAWVtb54h/jDFWpw7/zB85IlADSzmJRMIaNWrEALBp06YJ3ZwSSUhg7LffGDM35z9zgDEbG8a2b2csPV3o1jF24cIFZmtry6ZOnSp7ThpHnJ2dma2tLVu6dGmRxxk/fjyztbVl169fz7Nt6NChzNbWlj1//rxYbVq2bBmztbVlW7duLfb7KC6Kkepl2bJlDADr1KlTnm2DB/Pfpz59BGiYGsrMzGQ1a9ZkANjGjRtVfv7ERMaqV+c/Mz8/lZ9eYeSJIXT7kGiEoKAgMMZQs2ZNfJWtFpp0un23bgI1rBQRiUSyUfpdu3bJnk9NTcWGDRtgZ2eHwYMH4/HjxzAzM8PcuXPx8uVLzJ8/Xza9vl69erhx4wa6du2KtLQ0+Pj4YMiQIXlGNyZN4iOCqan831OmlI4RwvHjgd69+ahVjx7A69dCt4iQklmwYAEOHToEPT097N+/P0f8i4sDpOkc8plBSpA3431MTIzALfpyYjGPtS9eAL/9Bpib80SkAwcCdesCgYHCtq+gPCMAnypPeZiIkApaP//uHSC9ZBo7VtWtUk9aWlrw8fEBwPO5MBUnnTQ0BDZs4N+vXg0UkqtYY1CHnmiE/NbPR0cDFy7w76lDz0mz3Z84cQKRkZFYuXIlatWqhZEjRyI8PBwVK1bEokWL8OLFC8yYMQMm+WSvMzY2xv79+7Fo0SJoaWlh27Zt+Pbbb/H8+XPZPtrafLqnuTnvSHy+XhacSMSTptSvD7x5A3TvDqSnC90qQr7MsWPHMHPmTAD8oqlp06Y5tkuz29eqBVAV1oJ5e3ujYcOGSExMVIuM90XJr2P/+DFPDOvnB6h4BqyMNM8IYwx9+/bFjBkzZOvpMzMz4efnlyfPSMeOHfOUW5XmGbl58ya6du2KxYsXY8qUKRgxYkSBeUaaN28OHx8fzJs3D4sWLcLQoUPRv39/ZGRkYObMmZRnhMg69LnXz2/cCKSl8TwkuUIsKcTgwYOhr6+P4ODgfJdoKlubNsAPP/C5SsOGASkpKm+CSlGHnmiE/NbPHz7My5U5OgLFXE6n8erUqYOGDRsiIyMDtWrVwtixYxEZGYnKlSvjzz//RHh4OCZPnlxkYiKRSITJkyfj9OnTsLS0xO3bt+Hk5ISAgADZPrVq8bXzFy/ytfWlhaEhT9ZnYsLXF//+u9AtIkR+T548kSXBGzVqFH744Yc8+0gT4tHofOGyr6VfsWKFWo/SZyft2D9/zteSAny0qkED4Ubrc+cZkeZzqVChAuVhIoKJjIxEZGQktLS0cpSFTU/niScBvi5b0cl0NZmFhYXsd0uVJeyyW7IEsLICHj0C5s8XpAmqo+Tp/2qN1j+ph/T0dGZoaMgAsLt378qe79CBr5+ZP1/AxpVCv//+u2yNfNWqVdnatWvZp0+fvvh4r169Ys2aNZMdc/r06SwjI0OBLVaO7duz1vk/fKi882hqHNHU96UOPn78yOzt7RkA5urqylJTU/Pdr21b/hlfvVrFDVRDEomENWzYkAFgP//8s9DNUYrTpxn75pus9fV+fnzdvZA0OY5o8nvTNPv27WMAWMOGDXM8/9df/HfFyoqxAsIsKcTly5cZAFa+fHkWGxsrSBv278/KnXT7tiBN+GK0hp6UKaGhoUhKSoKxsTHs7e0B8FJp//7Lt9N0+5xGjx6NadOmYcuWLXjy5Al8fHxQrly5Lz7e119/jfPnz8PPzw8AMH/+fHTo0KHUZ4zu3x9o146v8x8+nM/mIKS0Y4xh8ODBuH//PipXroy///4benp6efaTSLKm3JeG/BWlnSatpS9ImzbA3bu8pCgArFrFR+upBDsp6wpaP798Of86ahQviUbk4+Ligvr16+PTp0/Yvn27IG3o1o2Xrc7IAIYOLV2VPxSJOvRE7UnXz7u4uMjKxAQE8KlSderwB8lSvnx5LFiwAEOGDIGurq5Cjqmnp4eVK1di586dMDAwwOnTpwssbVdaiES8rqyhIV8WsHGj0C0ipGgLFy7EgQMHZEnwrKys8t3vwQN+Y9PAgOeMIEXr3LkzGjZsiISEBPzxxx9CN0cpKlQA1q8HTp3i5TzDw4FWrYAxY4CkJKFbR4gw8uvQX7/Oly3p6mYtWSHyEYlEsqU069atU3lyPKlVq/gyy1u3AA0N7dShJ+ovv/XzlN1eGP369UNQUBBsbGwQEREBNzc3bN68WehmFahaNeDXX/n3kyfzNf+ElFYnTpzA9OnTAQCrV6/Ok7wpO2n9eWdnXjuZFC37KP0ff/yBJ0+eCNwi5fnuO+DePRqtJyQ1NRW3bt0CkDMh3ooV/Gvv3kC24iFETv3794dYLMbDhw8xcOBAQWY/WVkB0nynM2fy6h+ahjr0RO1JR+ilHfrkZODECb6NOvSqV79+/Ryl7YYNG1aqR7v8/Hjm2o8fAV9fvrqUkNLm6dOn6Nu3LxhjGDlyJIYNG1bgvhERwJ9/8u9pur18OnfujFatWiE5ORn9+/dHugaXwcg9Wv/8OR+tHzuWRutJ2XH79m2kpaXBwsJCllDxv/+AvXv59h9/FLBxGsDIyAi//vorRCIRdu7ciTp16mD37t0qH60fPJgvO0pJ0cxlltShJ2otMjISERER0NLSkpVsOnkS+PSJj742aiRs+8oqaWm7qVOnAgAmTJiA3377TeBW5U9bm5ey09EBjhwB/v5b6BYRklNiYiK6dOmCDx8+wMXFBculCzvzcfUq0KQJEBYGVKzIL1xI8YlEImzbtg3Gxsa4fv065mt8auSs0XrpZ2XlSj5aLy37Sogmy16uTvQ5jf369XzZ5rffAk5OQrZOM4wdOxZXrlxB3bp1ER0djT59+sDb2xuRkZEqa4NIxGvTGxjwmUibNqns1CpBHXqi1qSj8w4ODhCLxQCA/fv5tm7dqMSIkEQiERYsWCArBzVt2jTMnTtXsDVUhalXD5g2jX/v5wfExgrbHkKkJBIJBg4ciLCwMFSqVAn79++HfgF1IP39ea3xt295h+z6daBGDRU3WAN88803sjJL8+fPl13wa7IKFfjF7smTOUfrjxwRumWEKFfu9fOpqcDatXwbjc4rTrNmzRAcHIw5c+ZAV1cXAQEBsLe3x9q1ayFR0XB59epZyywnTdKsZZbUoSdqTbp+3tXVFQCQlgYcPcq30XR74UnXpC5YsAAAMGvWLEyfPr1Udup/+QWoXRt49w6YOFHo1hDCTZ06FQcPHoSenh7+/vtvVKpUKc8+Egn//Pbvzy9GO3cGLl8GqlYVoMEaonfv3ujXrx8kEgn69++PhIQEoZukEm3b8kz4vXvz5Ud+fjT9nmi27CP0AJ9q/+4dYG0NdO0qZMs0j56eHmbOnInbt2/DxcUFCQkJ8PX1RcuWLfHw4UOVtGHMmKxllqNGac4yS+rQE7WWe/382bP8l9TKitaOlibTpk3Dss8ZSRYsWICJEyeWuk69vj6fgiUSAVu3ZpU9JEQoGzZswO+//w4A2Lp1a47En1JJSUD37sDne2aYOpUnBf08YYmUwOrVq/HNN9/g+fPn+LEMDdUZGwObN/Nla69eZX22CNE0UVFRePXqFbS0tNCkSRMwllWqzteXZ7gnimdvb4+LFy9ixYoVMDQ0xKVLl+Dg4IBff/1V6XlLpMssdXX5AKA0V4K6ow49UVtJSUkICQkBkDVCL81u36ULoEWf7lJl/PjxWLVqFQBg2bJlGDt2rMqmWRWXqyv/Iw7wMjXJycK2h5Rdp06dgu/nD+OcOXPQt2/fPPu8egW4uQEHD/Iaydu3AwsXUuxTFGNjY+zYsQMikQhbt27Fful6rjLAwCArseLvvwOPHwvaHEKUIigoCABP5isWi3H1Ki9tpq+fVQGCKIe2tjbGjBmDsLAwtG/fHmlpaZg+fToaN26MmzdvKvXc9erxWW0AH7EXIPG+wtGffaK2bty4gczMTFhbW6NKlSrIzAQOHeLbvv9e0KaRAowePRobNmyASCTCqlWr4OPjU+o69QsWAF9/zdeQfq5gRYhK3bt3Dz169EBmZiYGDBiAGTNm5Nnn2jWe/O72bcDSEjh3DhgwQPVt1XQtWrSQJfccMWIEojRp0WURvL2BDh14crCxYzVnaiohUrnXz0tL1fXrB1hYCNWqsqVq1ao4fvw4duzYAXNzc4SGhqJp06aYOHEikpS43mfaNKBuXSA6Ghg/XmmnURnq0BO1lX39vEgkwqVL/BfT1BRo2VLgxpECDR8+HFu3boWWlhY2btyIH374AZmZmUI3S6ZChayEOMuWAUq+UUxIDm/fvoWXlxc+fvyIFi1aYOPGjbLMy1J//cVj3Js3QP36wI0bPBszUY7Zs2fD0dERsbGxGDJkSKm7CaksIhHv4Ojp8WR50hvmhGiK7B36yMisKjdjxwrYqDJIJBKhf//+ePDgAfr06QOJRIKlS5eiQYMGuH//vlLOqafHlxaJRMCOHbyygTrftKQOPVFbFy9eBJC1fl463d7bm9Y9lXaDBg2Cv78/tLW1sW3bNgwYMAAZGRlCN0vGy4snhZJIgGHD+AgVIcqWnJwMb29vvHz5EjY2Njhw4ECOjPYSCTBzJtC3L09+16kTJb9TBT09Pfj7+6N8+fI4ffo0VkiH8cqAWrWAyZP59+PG0TIkojnS0tJw69YtADwh3tq1QGYmv1nq4CBw48ooS0tL7Nq1CwEBAahSpQqeP3+O1q1b47GS1vw0bZo1Ou/jA7RvD7x4oZRTKR116IlaWrt2LU6ePAkAcHd3B2NZHXrKbq8eevfujT179kBHRwd//fUXevfujbS0NKGbJbN8OWBmBty5AyxZInRriKaTlqe7fv06zMzMcOzYMZibm8u2JycDvXoB8+bxf0+ezNfOGxkJ1OAypnbt2li6dCkAXnng7t27ArdIdaZN4zeNIiIoQR7RHLdv30ZqairMzc3x9dc2WL+eP0+j88Lz9PRESEgIGjRogDdv3sDDwwPPnz9XyrkWLQJ++w0oVw44dYpPw//zT35zR51Qh56onV27dmH06NEAgOnTp6NBgwa4cQOIjAQMDXnZHaIevv/+exw4cAB6enrYv38/unfvjtTUVKGbBQCoWBH44w/+/Zw5lBSKKNfPP/+M/fv3Q1dXFwcPHoSNjY1sW1QU0KIFnw6qq8urMCxaxLP1EtXx8fGBp6cnUlNT0a9fP6SkpAjdJJXInSDvyRNBm0OIQmQvV7d7twgxMfzGlbe3wA0jAABzc3OcPn0a9vb2iIqKgoeHByIiIhR+Hh0dYMoUIDSUz85ITuaj9q6uwL17Cj+d0lCHnqiVgIAADBw4EIwx+Pn5Ye7cuQCyRuc9PfldNqI+OnXqhMOHD6NcuXI4evQounTpgk+fPgndLAA8yVjbtnx68/DhfMozIVLv3r3D3bt3S1yCcdOmTVi0aBEAYMuWLWjRooVs28OHvATnrVs8SdPZs8DgwSU6HflCIpEImzdvhqWlJe7evYtfpGmSy4DOnfl01LQ0SpBHNENWh95FVqpu9GjewSOlQ8WKFfHvv//CxsYGL1++hIeHh9ISk9rY8L+v69fzXErXrgGOjjw5cikZZyoUdeiJ2jh//rws83P//v2xfPlyiEQiMAZIqwnRdHv11L59exw7dgwGBgb4559/4O7ujsDAQMFr1YtEPLgbGAAXLvDapYQAwOHDh2FnZ4cGDRrA2dkZW7Zs+aIbUWfOnMGoUaMAADNnzkT//v1l227c4GXpXr0C7OyA69f5v4lwvvrqK2zZsgUAL7955swZgVukGtkT5P3zD3D4sNAtIqRkpB16A4P2CA3lf+eHDRO4USSPSpUq4ezZs6hevTqePXuG1q1b4+3bt0o5l5YWL1d4/z6/iZmeDsydCzRqBFy5opRTKgx16IlauHnzJjp16oSUlBR4e3tjy5Yt0PpcbDksDHj6lNcN7dhR4IaSL+bh4YF//vkHRkZGuHbtGtzd3dG8eXOcPHlS0I59tWrAr7/y7ydN4tOfSdmVlpaGCRMmoEuXLvjw4QMA4NatWxg6dCisra0xceJEPHv2rFjHun//Pr7//ntkZGSgb9++mD17tmzbv/8C7u68Pq6zM3DpElC9uhLeEJGbl5cXfHx8APAEn7GxsQK3SDVsbHgMBIAff6QEeUR9vX79GhEREdDS0sL58w0A8Bl5pqYCN4zk6+uvv8bZs2dRpUoVPHr0CG3atMH79++Vdj5ra56jZu9evvzywQN+M33MGCAhQWmnLRHq0JNS7/79+2jfvj0SEhLg7u6OPXv2QDdbGnvp6HzbtpQgSt01b94c9+7dg6+vL/T19XH58mW0b98eTZs2xZEjRwTr2I8Zw2t+f/zIp+TRdNOy6eXLl2jRogX++JxcYcKECXj9+jUWLVqEatWqIS4uDkuXLoWNjQ06duyIY8eOFViS8d27d/D09ER8fDxcXV2xefNmWXm6ffv4zcmkJKBNG+DMGaqJXNosWbIEtra2iIqKwsiRIwWfTaQqP/8MfPMNT5C3cKHQrSFEfp8+fcKvn+/S29q2RUAAv54cM0bIVpGiVKtWDWfPnkXlypVx7949fPfdd4iLi1Pa+UQioEcP3pkfPJhf961axZPmHT+utNN+MerQk1LtxYsXaNu2LWJiYuDs7Cxba50dZbfXLN988w1Wr16N58+fY/z48Shfvjxu3LiBzp07o2HDhti3b5/K69Zra/Pp9jo6fKrpo0cqPT0pBY4cOYKGDRvi2rVrMDExwaFDh7B06VJUqlQJkydPxtOnT3H06FF06NABjDGcOHECXl5esLGxweLFixETEyM71qdPn9C5c2e8ePECNWvWxKFDh2Rxbd06ns0+PR3o3h0ICKAblaWRoaEh/P39oaOjg7///hvbt28XukkqYWCQlSx08WI+O44QdXH+/Hk4ODhgzZo1AIBKleZBIuE3TuvWFbhxpEi1atXCmTNnULFiRdy+fRvt2rVDfHy8Us9pZsYT0Z4+zWfJvXrF83X16weUpslZ1KEnpdZ///2HNm3aICoqCvb29jhx4gSMcl3ZPn3KM1Nqa/OazERzVK5cGcuWLcOLFy8wdepUiMVihIaGomfPnqhXrx527typ0tr19esD27bxNXY09bnsSE9Px8SJE9G5c2d8+PABTZo0QUhICDp37pxjP21tbXh5eeH48eN4+vQpfvrpJ5iamiI8PBxTpkyBtbU1Bg8ejOvXr2PIkCEICgqCqakpjh07BgsLCzAGzJ8PjBrFRwJ8fIDdu/lSIlI6NW7cGHPmzAEA+Pn5Ka2sUmnTtSufEUcJ8oi6iI+Ph4+PD1q1aoUnT56gcuXK2L37KEJCGgOgUnXqpHbt2jhz5gzMzc1x48YNdOzYEYmJiUo/b5s2wN27wIQJfK39rl2AlxePg6UBdehJqRQbG4t27drh2bNnqF69Ok6fPp2jJrPUwYP8a6tWQD6biQaoWLEiFi5ciJcvX2LWrFkwMTHBw4cPMWDAANjZ2WHTpk0qq1/fty+wcSN1ssoK6RR7af3x8ePH4+LFi6hWrVqhr6tZsyaWLFmCyMhIbN68GY6OjkhNTcW2bdvQtGlT2bKhAwcOwM7ODhIJMG4cMGMGf/2MGcCaNVSWTh1MmTIFbm5uSExMRNu2bTF69GisXr0agYGBiI6OFrp5SiESAStX8hKKJ04AR44I3SJCCnb48GHY29tj/edC8yNGjEBYWBg+fPDChw9AzZp8xJWoj3r16uH06dMwMTHBlStX0KlTJySrIKmHoSGwdClPkGdsDFy9CkycqPTTFgsVZyClTmJiIjw9PXH37l1UqlQJ//77LypXrpzvvtL1899/r8IGEkGYmZlh9uzZmDBhAlavXo1ly5bh+fPnGD58OObOnYtevXpBT09PrmPa2tpiwIABsgSLhEgdPXoUgwYNQlxcHExMTLB161Z06dJFrmMYGBjghx9+wJAhQ3D9+nWsXr0ae/bsQVpaGjZs2IBWrVohPR0YMgTw9+evWb6cRovUiba2Nnbs2AFHR0c8e/ZMNpVXytLSEvb29qhbty7q1q0r+97S0lKgFiuGrS2/kF24kCfI++47Ph2fkNLi7du3GDNmDPbt2weAT9fetGkTWrZsCcZ41QYA8PPjI65EvTRq1AgnT55EmzZtEBgYiC5duuDIkSN5luUqQ9OmwI4dgLc3v7np4gL06aP00xaOkQI1b96c2drasubNmwvdlDIjJSWFtW7dmgFgpqam7O7duwXu++oVYwBjIhFjr1+rsJGkVEhMTGRLly5lVlZWDMAXP3r27Mk+ffqktHZqahzR1PeVlpbGJk6cKPt8ODs7s+fPnyvs+NHR0ezhw4eMMcYSExnr0IHHMR0dxnbuVNhpiIr9999/bPv27WzKlCmsU6dOrEaNGkwkEhUYdywtLVnLli3Zjz/+yA4cOMDev38v9FuQW2IiY1Wq8M/vjBlfdgxNjSOMafZ7K80kEgnbunUrMzU1ZQCYtrY2mzJlCktOTmaMMfb2LWN+fvxzKxYz9uGDwA0mJXLp0iVmaGjIADBPT0+WmpqqsnP//DP/HBkYMHbvnuKPL08MoRF6UmpkZGSgT58+OHPmDAwNDXHixAnUq1evwP0PHeJfXVyASpVU00ZSehgaGmLChAnw9fXFjh07EBYWJtfrU1JSsGXLFuzduxevX7/GoUOH8l3WQcqOiIgI9OrVC0FBQQCAcePGYdGiRXLP/CiMhYUFLCwsEBvL199dvQqUL89nG3XooLDTEBWzsrLCgAEDcjyXnJyMBw8e4P79+wgLC5M9wsPDER0djfPnz+P8+fNYvnw5RCIRGjRogFatWqFVq1Zo0aIFzMzMBHo3xWNoyBPkde/OE+QNHAjUqiV0q0hZFh4ejpEjR+L06dMA+Cju5s2b0ahRI8TG8jwly5fzCiIA8NNPfOo0UV+urq4ICAhAhw4dcOzYMfTu3Rvr1q1DxYoVlX7uuXOB69d5mdlu3YAbN4AKFZR+2nxRh56UChKJBMOHD8fBgwehr6+PI0eOoGnTpnn2y8jga1eOHePTXQDKbl/WlStXDsOHD/+i1/bq1Qtdu3bFpUuX4OrqiuPHj6NGjRoKbiEpzZKSkvDw4UPcuHEDv/zyC2JjY2FsbIytW7eia9euSjlnVBTQrh0QFgaYmPB49u23SjkVEZCBgQGcnJzg5OSU43npZy4sLAzXrl1DYGAg7t+/jzt37uDOnTtq1cHv1o1Ptz99mk+9Dwjga+wJUaXMzEysWLEC06dPR3JyMsqVK4c5c+ZgwoQJSE7Wwbx5wJIlvPQsADRuzDv3bdsK226iGK1atcLhw4fRqVMnHDx4EAcPHkS9evXg4eEBDw8PtGzZEiYmJgo/r7Y2T47n5AQ8fsyXz/39tzAxkDr0RHBv377F1KlT8b///Q/a2trYs2cPPDw8ZNujo3ninWPHgJMngewVKoyMeIknQr6Eu7s7Ll++jA4dOuDRo0dwcXFBQEAAnJ2dhW4aUbDsnaiwsDDZqOmLFy9y1BBv3Lgx9u7di+rFKGVw/z5w+7Z87cjIAGbOBF6+5DOLTp0CCpmIRDSQoaGhrKM/cOBAAPzv4Pnz5xEYGIjAwEA8ePAgTwffwcEBrVq1Qtu2bdGuXbtSkftDmiCvfn1em/noUb6ulBBVefz4MQYMGIDr168D4J27DRs2wNraBn/8ASxaBEirhtavD8ybxz+jdONJs7Rt2xYBAQGYNGkS7ty5g3v37uHevXtYsWIFtLS04OjoKOvgu7m5wdDQUCHntbQE9u0DmjfnZbSXLhUmUZ6IMSo4UpAWLVrg7du3+Oqrr3DhwgWhm6NxoqKisHjxYmzYsAEpKSkAgG3btqF//4EICeEd+GPH+BSW7J9Sc3M+NbVjR6B9e8DUVKA3QDTG69ev4eXlhZCQEJQvXx67d++Gt4KuSjU1jpTW9yWRSBAWFoaQkJAcU51zd9yzs7S0RN26ddG6dWtMmjQJ+oWUMUhP53+016wBSvK2a9Xio5pFJMwnZVR+HfzsGjRogFmzZqFLly6lomM/bRrw22/883z/Pl9GUhylNY4ogia/t9Ji//79GDJkCBISElChQgUsWbIE/foNxaZNWliwAHj7lu9nZwfMmQP06EEJ8MqC6OhoBAYG4ty5czh79iwePXqUY7uuri6aNm0q6+A3a9as0L/7xbFmDTB6NB+1P3MGaNmyRIcDIF8MoQ59ISgYK8eLFy/w22+/YevWrbJyY05O7ujQYRmiohrixAngzZucr2nUiJcV8fQEnJ2pnBNRvISEBPTs2RP//PMPtLS0sHLlSvj6+pb4uJoaR0rL+5J24KUdn/PnzyNGOhyTS+6M49Ks48XJOB4VBWzYwB/S+KStzafKy3sdUKUKzw7+1VfyvY6UXW/evMGFCxdw9uxZ7Nq1CwkJCQCU17HPyMhAQkICTIt5xzwpCahdG4iMBLZuBQYPLt55SkscUQZNfm9CS09Px7Rp02QlRVu0aIFt23bh1ClrzJvHP4cAUL06MGsW0K8foENzksusqKgoWef+zJkziIiIyLHdwMAAQ4cOxbRp01DpC5NyMcbziOzcyf+2BwcDBRToKja5Yojic/JpDspQqliPHz9mgwcPZjo6Op8z/dqxGjVWsYYNY5iOjoTxX4eszKNduzK2aRNjUVFCt5yUFWlpaWzYsGGyTNSTJk1imZmZJTqmpsYRod5XZmYmu3v3Llu5ciX7/vvvmYWFRZ4M4gYGBqxFixbM19eXrVq1ip07d469e/dO7nNJJIydO8dY9+6MaWtnxScrK8ZmzmQsMlLx74+QosTExLAZM2YwIyMj2WfewcGBHThwoETxKj09nZ06dYoNHz6cmZubMwDs+++/Z+Hh4cV6/fnzjLVpw1hYWPHPqanxkTHNfm9CioqKYm5ubrLP/oQJU9mWLRmsRo2sGP3114ytW8eYChOeEzUhkUjYs2fP2MaNG1mfPn3YV199JfsslS9fnk2cOJFFR0d/0bGTkhirX59/Bl1dGUtLK1lb5Ykh1KEvBAVjxbh37x7r06cPE4nKM6AdA1aw8uVf5+jAA4zZ2jI2bhxjp08zlpIidKtJWSWRSNivv/4qC/C9evUqUVk7TY0jqnpfxe3At23bli1YsIBduXKFpZXwr2h8PGOrVjFmb58zRrVowdiePSX/I02IIsTExLDp06eXqGOfnp7OTp8+zYYPH57v7xYAVq5cOTZz5kyWlJSk8PegqfGRMc1+b0IJDAyUdcAMDRszb+/HzNIyK0ZXrMjYn38ypsRKtETDSCQS9u+//zIXFxdZzBOLxWz69OksLi5O7uM9fsxYhQr88zhuXMnapvQO/Z07d9iwYcNY48aNmYODA/v+++/ZkSNH5DpGZmYm27FjB/Py8mL169dnTZs2ZWPHji30TrAizisPCsYlExwczNq3H8GAkQw4woCkHBfHenqMtW3L2PLljD15InRrCclpx44dTFdXlwFgbm5uLCYmplivyx2n7O3t5Y4jmhgf4+LimK2tLdPR0ZHroaWlVWQHXlF1Z+/dY8zXl88QksYpQ0PGfHwYCw1VyCkIUTh5O/bSTvyIESPydOItLCzYyJEj2b///stCQkKYu7u7bFuVKlXY3r17mUQiKVF7s8cqW1tbZmtryxo3bizXMTQxRmqS58/5DMupUxn7+2/G3r8v2fEkEglbvHgx09IyZsBQVr787RzXk1ZWjC1cyFhiomLaT8oeiUTCjh8/zhwdHWUxz8TEhM2fP599/PhRrmMdPJj12dyz58vbJE8MkXsN/bVr1zB06FDo6urC09MTRkZGOHXqFCIjIzF+/Hj4+PgU6zgzZszA3r17UatWLbRs2RIxMTE4fvw49PX1sXv3btTKVcxUUeeVB61/kt+7dxnYsSMMa9c+wbNndgDq59hubZ21Ft7DAxCLhWknIcVx9uxZdOvWDfHx8bCzs8OJEycKzX6eX5zatm0bMjMzIRaLcevWrWKdVxPj49u3b2FnZ4f47GUqisnAwACurq6yEl6NGzcudm349HTg/Xvg3TteMSM6Ov/v374Fnj7Nel3t2oCvL18TR3WKiTqIjY3FH3/8geXLl8vW2Dds2BCzZs2Cp6cnLly4gL179+LAgQN4//697HUWFhbo1q0bevbsiZYtW0In22Jjxhj279+Pn376SbbutGXLllixYgUaNGggdxtzx6pjx44hOTkZAOgaUo29fg2cOwecPcsfL17k3C4SAQ4O/LrPw4NnBC9uve4PH+Lh7f0bLl60AdATAL9w1NYGvLyAoUN5omRaI08UgTGGQ4cOYcaMGQgLCwPAY+TUqVPh6+uL8sXM+Dl1Kq+wYGjIa9Xb28vfFqWtoU9PT2dt2rRh9erVY2HZFkklJCQwT09PZm9vX6y1VlevXmW2trasb9++OUZWrly5wuzs7Fi/fv2Ucl55lea7qykpKXLfJU9JYSw9XXFt+O8/xo4dY2zq1ETm5PSSGRi8yzONXiTKZI0aJbIFCxi7c4evSSVEndy9e5dVqVKFAWAVK1ZkN27cyHe/guKUq6urbBSqrMfH5ORkFhUVJXuEh0exW7f+YydPvmV//fWerVwZy2bP/sDGjPnI+vZNZO3aJbPGjVOZo2Mmc3JixX44OvIlPKamLE9MKuyhrc1Yt26MnTlDsYqor/fv37NffvmFicXiHNPmpd8DYObm5mzEiBHs9OnTLL0YFwZJSUls9uzZsuNoaWkxX19f9l6Oodf8YpU0jtSpU4euIdXI+/d85N3Xl7HatfPGUi2tDGZqeo8ZG+9lxsYR+cbaZs0Y+/lnxv79l7Hk5LznePOGsfHjXzNd3ae5lmdK2KJF/BqUEGXJyMhgu3btYjY2NrK4WalSJbZq1SqWUox1wenpjLm7889s7dqMyTnIzxiTL4bIdT8rKCgIERER6NatG+yz3WoQi8Xw9fXF+PHjceDAAUyYMKHQ4+zbtw8AMG7cuByjLC4uLnBzc8PFixcRHh4uGwlT1HnVVUxMDEJCQhAcHCz7+uTJE1SoUAGOjo5o1KgRHB0d4ejoCFtbW2hrayM+ntdHDg7Oejx8yMOhpSWvf1zQw8qKf5XehGIMiIjIOs6tWwzXr2cgJkb3cwsNPz84La3nqF79HUaProqBAyvB3FwxtR4JEUK9evUQFBQET09P3L59G61atcLTp09hZWWVY7+C4lT2zNNlOT6mpwOTJpVHSEh52cj4FwzWfxEtLcDCgse+ihX5V+kj+7/t7Hj8I0SdmZubY/78+Rg/frxsxD4xMRHm5ubo1q0bevToAXd39xwj8UUxMDDArFmzMHjwYEyaNAn79u3DmjVrsHv3bsyfPx8jRoyAdhHlZwqKVQCPV/Hx8WU6RsorPT0dERERiIuLk/u15cqVQ9WqVWFkZFTkvpmZfAT+zp2sUfjbt3PuIxIxGBs/R0rKMaSkHIdEcglxcUnZ9vgKQCsYGXUG0BoJCRURFAQEBQELFgB6erxiiIcHL+m5dy9w9KgEmZmVPh8/GZ6eyZgyxQKuriKqIU+UTltbG3369EGPHj2wc+dOzJkzBy9evICfnx8WL16M6dOno1GjRoUeY+pUHdy7Z4+HD/XQrVssFi+OgINDA6WUGpWrQ3/9+nUAgJubW55trq6uOfYpzLVr12BgYABHR8c826TB+MaNG7JgrIjzxsbGFtmu3CQSidyvKan//vsvR8c9ODgYL1++zHff+Ph4nDt3DufO3QXAH9raztDVbYqUlK8LPMe7d/xx507hbTE25he3794BOf9eiADoAsgE8BBAMCpXfgcPDxMMGFAfrVs7QVu7hjxvm5BSrXLlyrhw4QIGDx6Mmzdv5nshXFicyr1PYTQ1PkZEAKtX531eW5t3tqUd6+wdbOn3xa1pnZ2BQdbrzcyo9jApe6Qd+59++gnh4eGoX78+dHV1i35hIapWrYq9e/ciMDAQY8eOxd27d+Hr64t169ZhxYoVaFlI8eXCYpW0Y16WY2R+r3/9+jXCw8MRHh6OFy9eyL4PDw9HZGRkic9hbm6OatWqo3JlBxgbN4Senh0kkqpITq6I9+8r4OVLLURE8BuyuRkbv0J6+ikkJx8FY+fx4cMHAPxGSYsWLeHh4YHatWsjKCgIZ8+exbVrfyMhYc/nV38DwB3Gxl2RkdESSUkmCAwEAgOzn0ELQBDq1r2GgIABqFbNokTvlZAvoaOjg8GDB6Nv377YsmUL5s2bh4iICIwYMaKYR3ABcB7//msGR8d58PPLwMqVKxXfTnl2fvF5UUzVqlXzbDM2NoapqWmBnU+p5ORkREdHy0aSc6tWrVqOcynqvC4uLoVuV4SIiHiMGhWCzzGt2DIzM/H+/Xu8efMGSUmJn58VAXD6/ABMTExhZWUFK6uvYGVlBTOzrxAWlonQUG3ExYmzHYs/uBcAQqCtfQfVq8fB2VkXlpZmSEoyQmJi3kf25zMydBEfn30ELQ3APQDBAEJQrtwDtGlTEZ07t0GHDh1gbW39Bf9jhKgPIyMj7N+/H4wxiPIZHigsTgGASCQq0/GxZk3g/Hm+Xj17593EhDrbhCiTqalpsevJF1erVq0QHByM9evXY8aMGQgNDUWrVq3Qs2dPbN68GeJ8EuQUFqu0tLTK/DXkwoU3sW9fND58+IAPHz4gPj4eEklmtj20AdT6/Pj8jLYODAwM8v2bVJjUVF2kplZGTEx1xMRUw61bhSc0EokyYGQUDcYCkZBwGEAg4uPfAgD09fXh6uoKDw8PeHh4oHHjxjluHHl6emLevHlISEjApUuXcPbsWZw9exYhIdsRH7/t8142AFrDxKQrUlKqISUlAMAWzJnTE9OnT1fKiCYh8tDT04OPjw8GDRqE9evXY+PGjUhMTCz6hYhCQsJ8xMXNAfA7TE3PKqV9cnXopQ0vaIqOWCzGmzdvCj2GNFFLfsE++/PZ/5MUcV5VmDUrFMePt1LKsT984I+HD/PfbmMDNGokQZUq0dDVvYf4+EA8fHgZwcHBiI+Px9OnORM+Fa0CgEqfH/EAwmBjUxWenp7w9OyK5s2XQV9fv2RvihA1VNCFU1FxSktLSxb/CqLJ8REAWrQQugWEEEXR0dHB6NGj0bt3b8yYMQPr16/H3r174eHhgZEjR+bZn64hCyaRMPzyS1Uw1liu12VmAkX8WSkWkYjBwCAe+vpRyMx8hqSke8jIeAwgHEA4GIvCx498NoCOjg6aNGkCD4/h8PDwgIuLC8qVK1fkOYyMjNChQwd06NABAJ/1cP78eVkH//79dfjwYR0AwMzMDLt27UK7du1K/uYIUaDy5ctj3LhxGDduXLFfwxjQrx/w1186CA9vq5R2UU5IBZo+vR7CwwMRHy//4h4TExNUrFgRFhYWxZ4SV7064OjIM4fybKFa4OuUvgLQGgDP1hgeHo7g4GDcvn27mHeTcp+nOjp27AgbGxu5X0sIIYQQzWVubo41a9Zg5MiR+Oeff9CzZ0+hm6R2tLREmD49HCdPPkWFChVQoUIFGBsbQywWK2V0ulw5oFo1fh1ZvTpQtaoI+vomAEwA1AVjnfD+/fscU/yTkpLw7bffws3NrVhr74tiZmaGrl27omvXrgCAN2/e4Ny5c3j16hV69+6Nb775psTnIKQ0EImATZsAZ2dAWfeo5OrQS+98FjTKlJiYWOQvuXR7QR1L6fPZ774q4ryqULOmKQIDWwndjBxEIhFq1KiBGjVqoHv37kI3hxCNVVSckkgkMC6i/pkmx0dCiGZzcHCAg4NDgdvpGrJwc+c2wdy5QreCE4lEsLS0hKWlJZo0aaKSc1pZWaFPnz4qORchqmZgAIwfr7zjy9Whl65NevnyJerVq5djW3x8POLi4orM+GdgYABLS0tERkYiMzMzzxoo6Von6bkUdd6rV68Wuj0/3t7eiI6Olvt1hJCyp7A4BfDZMgWtr5ei+EgI0VSFxSqJRELXkIQQ8oXkmsfj7OwMALh06VKebZcvXwaAYt3Ja9KkCZKTkxEcHJxnm/TY0nMp6rxmZmZyPygJByGkuAqLU1IUHwkhZVVhsSotLQ0AxUhCCPkSckUbFxcXVKlSBQEBAXjw4IHs+cTERKxZswY6OjqytTAAT3jx7NmzPOU+pOur/vzzT1kQB/gd0EuXLsHZ2VlWbuRLzksIIapWUJzKXlaI4iMhpKwqKFYBPF7RNSQhhHwZuabc6+joYP78+Rg2bBj69u0LLy8viMVinDp1CpGRkRg3blyOIOrv749Vq1bBz88PY8aMkT3frFkz9OjRA/v27UPXrl3RsmVLxMTE4Pjx4xCLxZg9e3aJzksIIapWUJySXowaGhpSfCSElFn5xSrpuvbMzEy6hiSEkC8kd5b7Zs2aYdeuXVixYgVOnDiB9PR01KpVCz/++CO8vb2LfZy5c+fCzs4Oe/bswY4dO2BgYAB3d3eMHz8+38CqqPMSQoiy5BenpGXuCiqzlB+Kj4QQTZQ7ViUnJwMAKlSogFGjRhX7OBQjCSEki4gxxoRuRGnVokULvH37Fl999RUuXLggdHMIIWpIU+OIpr4vQojqaHIc0eT3RghRPnliCGXsIIQQQgghhBBC1BB16AkhhBBCCCGEEDVEHXpCCCGEEEIIIUQN0Rr6QtStWxcZGRnQ0tKCpaWl0M0hhKih6OhoSCQS6OjoICwsTOjmKAzFR0JISWlqfAQoRhJCSkae+Ch3lvuyRFo/WiKR4O3btwK3hhCizrLXo9cEFB8JIYqiafERoBhJCFGM4sRH6tAXQk9PD2lpadDS0oK5ubnQzSEqJpFIEB0dneM5S0tLaGnRSpWypiSfhZiYGEgkEujp6SmreYKg+EgoRhKA4mNBKEaWbRQfidSXfhbkiY805Z6QAsTGxsLFxSXHc1evXoWZmZlALSJCoc8CIXnR7wUB6HNASH7o94JIqeKzQLeJCCGEEEIIIYQQNUQdekIIIYQQQgghRA1Rh54QQgghhBBCCFFD1KEnhBBCCCGEEELUEHXoCSGEEEIIIYQQNUQdekIIIYQQQgghRA1Rh54QQgghhBBCCFFD1KEnhBBCCCGEEELUEHXoCSGEEEIIIYQQNUQdekIIIYQQQgghRA1Rh54QQgghhBBCCFFDIsYYE7oRhBBCCCGEEEIIkQ+N0BNCCCGEEEIIIWqIOvSEEEIIIYQQQogaog49IYQQQgghhBCihqhDTwghhBBCCCGEqCHq0BNCCCGEEEIIIWpIR+gGEFJahYaGYuXKlbh9+zbS09NRq1YtDBo0CJ06dRK6aUSFDh8+jFu3buHevXt4/Pgx0tPTsXDhQnTr1k3ophEiKIqRhOIjIfmj+EgA1cVI6tATko9r165h6NCh0NXVhaenJ4yMjHDq1ClMnDgRUVFR8PHxEbqJREWWL1+OqKgomJqaomLFioiKihK6SYQIjmIkASg+EpIfio9ESlUxkurQE5JLRkYGOnTogDdv3mDPnj2wt7cHACQmJqJ3794IDw/HsWPHUK1aNWEbSlTiypUrqFq1KqytrbFhwwYsXbqURqBImUYxkkhRfCQkJ4qPJDtVxUhaQ09ILkFBQYiIiICXl5csEAOAWCyGr68vMjIycODAAQFbSFTp22+/hbW1tdDNIKTUoBhJpCg+EpITxUeSnapiJHXoCcnl+vXrAAA3N7c821xdXXPsQwghZQ3FSEIIyR/FRyIE6tATksuLFy8AAFWrVs2zzdjYGKampnj58qWKW0UIIaUDxUhCCMkfxUciBOrQE5JLYmIiAMDIyCjf7WKxGAkJCapsEiGElBoUIwkhJH8UH4kQqENPCCGEEEIIIYSoIerQE5KLWCwGgALvoCYmJhZ455UQQjQdxUhCCMkfxUciBOrQE5KLtJRIfmuc4uPjERcXl+/aKEIIKQsoRhJCSP4oPhIhUIeekFycnZ0BAJcuXcqz7fLlywCAJk2aqLRNhBBSWlCMJISQ/FF8JEKgDj0hubi4uKBKlSoICAjAgwcPZM8nJiZizZo10NHRQdeuXQVsISGECIdiJCGE5I/iIxGCiDHGhG4EIaVNUFAQhg0bBl1dXXh5eUEsFuPUqVOIjIzEuHHjMGrUKKGbSFRk3759uHXrFgDg8ePHCAsLg6Ojo2zKXJs2bdCmTRshm0iIylGMJADFR0LyQ/GRSKkqRlKHnpAChIaGYsWKFbh9+zbS09NRq1YtDBo0CN7e3kI3jajQ1KlTcfDgwQK3+/n5YcyYMSpsESGlA8VIQvGRkPxRfCSA6mIkdegJIYQQQgghhBA1RGvoCSGEEEIIIYQQNUQdekIIIYQQQgghRA1Rh54QQgghhBBCCFFD1KEnhBBCCCGEEELUEHXoCSGEEEIIIYQQNUQdekIIIYQQQgghRA1Rh54QQgghhBBCCFFD1KEnhBBCCCGEEELUEHXoCSGEEEIIIYQQNUQdekIIIYQQQgghRA1Rh54QQgghhBBCCFFD1KEnhBBCCCGEEELUEHXoCSGEEEIIIYQQNfR//Y4Vzo9PJysAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#combined - explained variance from PCA\n", + "\n", + "matplotlib.rcParams.update({'font.size': 14})\n", + "matplotlib.rc('xtick', labelsize=14) \n", + "matplotlib.rc('ytick', labelsize=14) \n", + "\n", + "plt.figure(figsize=(12,8))\n", + "\n", + "all_remote_PCA_variance_flat = pippin_var_remote\n", + "all_random_PCA_variance_flat = pippin_var_random\n", + "#print(np.mean(all_random_PCA_variance_flat),np.mean(all_remote_PCA_variance_flat))\n", + "[rand_counts,bins] = np.histogram(all_random_PCA_variance_flat,bins=np.arange(-1,1.1,0.1))\n", + "[remote_counts,bins] = np.histogram(all_remote_PCA_variance_flat,bins=np.arange(-1,1.1,0.1))\n", + "plt.subplot(2,3,1)\n", + "plt.plot(bins[1:],rand_counts/len(all_random_PCA_variance_flat),color='k')\n", + "plt.plot(bins[1:],remote_counts/len(all_remote_PCA_variance_flat),color='b')\n", + "plt.title('Rat 1')\n", + "print('pippin',scipy.stats.mannwhitneyu(all_random_PCA_variance_flat, all_remote_PCA_variance_flat))\n", + "\n", + "all_remote_PCA_variance_flat = tonks_var_remote\n", + "all_random_PCA_variance_flat = tonks_var_random\n", + "#print(np.mean(all_random_PCA_variance_flat),np.mean(all_remote_PCA_variance_flat))\n", + "[rand_counts,bins] = np.histogram(all_random_PCA_variance_flat,bins=np.arange(-1,1.1,0.1))\n", + "[remote_counts,bins] = np.histogram(all_remote_PCA_variance_flat,bins=np.arange(-1,1.1,0.1))\n", + "plt.subplot(2,3,2)\n", + "plt.plot(bins[1:],rand_counts/len(all_random_PCA_variance_flat),color='k')\n", + "plt.plot(bins[1:],remote_counts/len(all_remote_PCA_variance_flat),color='b')\n", + "plt.title('Rat 2')\n", + "print('tonks',scipy.stats.mannwhitneyu(all_random_PCA_variance_flat, all_remote_PCA_variance_flat))\n", + "\n", + "all_remote_PCA_variance_flat = ginny_var_remote\n", + "all_random_PCA_variance_flat = ginny_var_random\n", + "#print(np.mean(all_random_PCA_variance_flat),np.mean(all_remote_PCA_variance_flat))\n", + "[rand_counts,bins] = np.histogram(all_random_PCA_variance_flat,bins=np.arange(-1,1.1,0.1))\n", + "[remote_counts,bins] = np.histogram(all_remote_PCA_variance_flat,bins=np.arange(-1,1.1,0.1))\n", + "plt.subplot(2,3,3)\n", + "plt.plot(bins[1:],rand_counts/len(all_random_PCA_variance_flat),color='k')\n", + "plt.plot(bins[1:],remote_counts/len(all_remote_PCA_variance_flat),color='b')\n", + "plt.title('Rat 3')\n", + "print('ginny',scipy.stats.mannwhitneyu(all_random_PCA_variance_flat, all_remote_PCA_variance_flat))\n", + "\n", + "all_remote_PCA_variance_flat = ron_var_remote\n", + "all_random_PCA_variance_flat = ron_var_random\n", + "#print(np.mean(all_random_PCA_variance_flat),np.mean(all_remote_PCA_variance_flat))\n", + "[rand_counts,bins] = np.histogram(all_random_PCA_variance_flat,bins=np.arange(-1,1.1,0.1))\n", + "[remote_counts,bins] = np.histogram(all_remote_PCA_variance_flat,bins=np.arange(-1,1.1,0.1))\n", + "plt.subplot(2,3,4)\n", + "plt.plot(bins[1:],rand_counts/len(all_random_PCA_variance_flat),color='k')\n", + "plt.plot(bins[1:],remote_counts/len(all_remote_PCA_variance_flat),color='b')\n", + "plt.title('Rat 4')\n", + "print('ron',scipy.stats.mannwhitneyu(all_random_PCA_variance_flat, all_remote_PCA_variance_flat))\n", + "\n", + "all_remote_PCA_variance_flat = molly_var_remote\n", + "all_random_PCA_variance_flat = molly_var_random\n", + "#print(np.mean(all_random_PCA_variance_flat),np.mean(all_remote_PCA_variance_flat))\n", + "[rand_counts,bins] = np.histogram(all_random_PCA_variance_flat,bins=np.arange(-1,1.1,0.1))\n", + "[remote_counts,bins] = np.histogram(all_remote_PCA_variance_flat,bins=np.arange(-1,1.1,0.1))\n", + "plt.subplot(2,3,5)\n", + "plt.plot(bins[1:],rand_counts/len(all_random_PCA_variance_flat),color='k')\n", + "plt.plot(bins[1:],remote_counts/len(all_remote_PCA_variance_flat),color='b')\n", + "plt.title('Rat 5')\n", + "print('molly',scipy.stats.mannwhitneyu(all_random_PCA_variance_flat, all_remote_PCA_variance_flat))\n", + "\n", + "all_remote_PCA_variance_flat = arthur_var_remote\n", + "all_random_PCA_variance_flat = arthur_var_random\n", + "#print(np.mean(all_random_PCA_variance_flat),np.mean(all_remote_PCA_variance_flat))\n", + "[rand_counts,bins] = np.histogram(all_random_PCA_variance_flat,bins=np.arange(-1,1.1,0.1))\n", + "[remote_counts,bins] = np.histogram(all_remote_PCA_variance_flat,bins=np.arange(-1,1.1,0.1))\n", + "plt.subplot(2,3,6)\n", + "plt.plot(bins[1:],rand_counts/len(all_random_PCA_variance_flat),color='k')\n", + "plt.plot(bins[1:],remote_counts/len(all_remote_PCA_variance_flat),color='b')\n", + "plt.title('Rat 6')\n", + "print('arthur',scipy.stats.mannwhitneyu(all_random_PCA_variance_flat, all_remote_PCA_variance_flat))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 300, + "id": "ef930404", + "metadata": {}, + "outputs": [], + "source": [ + "# cosine distance between pop. vectors\n", + "\n", + "# load\n", + "file_name = '/stelmo/mcoulter/coulter_all_figures/cosine_dist_dict.pkl'\n", + "file = open(file_name,'rb')\n", + "cosine_dist_dict = pickle.load(file)\n", + "file.close()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 301, + "id": "a58c2df6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "pippin MannwhitneyuResult(statistic=11061.0, pvalue=6.479555617134971e-12)\n", + "tonks MannwhitneyuResult(statistic=3057830.0, pvalue=0.0)\n", + "ginny MannwhitneyuResult(statistic=419595.0, pvalue=6.761930945102211e-118)\n", + "ron MannwhitneyuResult(statistic=418040.0, pvalue=1.7382534677273464e-48)\n", + "molly MannwhitneyuResult(statistic=694621.0, pvalue=6.16777319185876e-141)\n", + "arthur MannwhitneyuResult(statistic=223988.0, pvalue=1.55434846182628e-53)\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# combined - cosine distance\n", + "\n", + "matplotlib.rcParams.update({'font.size': 14})\n", + "matplotlib.rc('xtick', labelsize=14) \n", + "matplotlib.rc('ytick', labelsize=14) \n", + "\n", + "plt.figure(figsize=(12,8))\n", + "\n", + "arm_run_cosines_flat_2 = cosine_dist_dict[1]\n", + "all_cosine_remote_flat = cosine_dist_dict[2]\n", + "all_cosine_random_flat = cosine_dist_dict[3]\n", + "#print(np.mean(all_random_PCA_variance_flat),np.mean(all_remote_PCA_variance_flat))\n", + "[rand_counts,bins] = np.histogram(all_cosine_random_flat,bins=np.arange(0,1.1,0.1))\n", + "[remote_counts,bins] = np.histogram(all_cosine_remote_flat,bins=np.arange(0,1.1,0.1))\n", + "[running_counts,bins] = np.histogram(arm_run_cosines_flat_2,bins=np.arange(0,1.1,0.1))\n", + "plt.subplot(2,3,1)\n", + "plt.plot(bins[1:],rand_counts/len(all_cosine_random_flat),color='k')\n", + "plt.plot(bins[1:],remote_counts/len(all_cosine_remote_flat),color='b')\n", + "plt.plot(bins[1:],running_counts/len(arm_run_cosines_flat_2),color='g')\n", + "plt.title('Rat 1')\n", + "print('pippin',scipy.stats.mannwhitneyu(all_cosine_random_flat, all_cosine_remote_flat))\n", + "\n", + "arm_run_cosines_flat_2 = cosine_dist_dict[4]\n", + "all_cosine_remote_flat = cosine_dist_dict[5]\n", + "all_cosine_random_flat = cosine_dist_dict[6]\n", + "#print(np.mean(all_random_PCA_variance_flat),np.mean(all_remote_PCA_variance_flat))\n", + "[rand_counts,bins] = np.histogram(all_cosine_random_flat,bins=np.arange(0,1.1,0.1))\n", + "[remote_counts,bins] = np.histogram(all_cosine_remote_flat,bins=np.arange(0,1.1,0.1))\n", + "[running_counts,bins] = np.histogram(arm_run_cosines_flat_2,bins=np.arange(0,1.1,0.1))\n", + "plt.subplot(2,3,2)\n", + "plt.plot(bins[1:],rand_counts/len(all_cosine_random_flat),color='k')\n", + "plt.plot(bins[1:],remote_counts/len(all_cosine_remote_flat),color='b')\n", + "plt.plot(bins[1:],running_counts/len(arm_run_cosines_flat_2),color='g')\n", + "plt.title('Rat 2')\n", + "print('tonks',scipy.stats.mannwhitneyu(all_cosine_random_flat, all_cosine_remote_flat))\n", + "\n", + "arm_run_cosines_flat_2 = cosine_dist_dict[7]\n", + "all_cosine_remote_flat = cosine_dist_dict[8]\n", + "all_cosine_random_flat = cosine_dist_dict[9]\n", + "#print(np.mean(all_random_PCA_variance_flat),np.mean(all_remote_PCA_variance_flat))\n", + "[rand_counts,bins] = np.histogram(all_cosine_random_flat,bins=np.arange(0,1.1,0.1))\n", + "[remote_counts,bins] = np.histogram(all_cosine_remote_flat,bins=np.arange(0,1.1,0.1))\n", + "[running_counts,bins] = np.histogram(arm_run_cosines_flat_2,bins=np.arange(0,1.1,0.1))\n", + "plt.subplot(2,3,3)\n", + "plt.plot(bins[1:],rand_counts/len(all_cosine_random_flat),color='k')\n", + "plt.plot(bins[1:],remote_counts/len(all_cosine_remote_flat),color='b')\n", + "plt.plot(bins[1:],running_counts/len(arm_run_cosines_flat_2),color='g')\n", + "plt.title('Rat 3')\n", + "print('ginny',scipy.stats.mannwhitneyu(all_cosine_random_flat, all_cosine_remote_flat))\n", + "\n", + "arm_run_cosines_flat_2 = cosine_dist_dict[10]\n", + "all_cosine_remote_flat = cosine_dist_dict[11]\n", + "all_cosine_random_flat = cosine_dist_dict[12]\n", + "#print(np.mean(all_random_PCA_variance_flat),np.mean(all_remote_PCA_variance_flat))\n", + "[rand_counts,bins] = np.histogram(all_cosine_random_flat,bins=np.arange(0,1.1,0.1))\n", + "[remote_counts,bins] = np.histogram(all_cosine_remote_flat,bins=np.arange(0,1.1,0.1))\n", + "[running_counts,bins] = np.histogram(arm_run_cosines_flat_2,bins=np.arange(0,1.1,0.1))\n", + "plt.subplot(2,3,4)\n", + "plt.plot(bins[1:],rand_counts/len(all_cosine_random_flat),color='k')\n", + "plt.plot(bins[1:],remote_counts/len(all_cosine_remote_flat),color='b')\n", + "plt.plot(bins[1:],running_counts/len(arm_run_cosines_flat_2),color='g')\n", + "plt.title('Rat 4')\n", + "print('ron',scipy.stats.mannwhitneyu(all_cosine_random_flat, all_cosine_remote_flat))\n", + "\n", + "arm_run_cosines_flat_2 = cosine_dist_dict[13]\n", + "all_cosine_remote_flat = cosine_dist_dict[14]\n", + "all_cosine_random_flat = cosine_dist_dict[15]\n", + "#print(np.mean(all_random_PCA_variance_flat),np.mean(all_remote_PCA_variance_flat))\n", + "[rand_counts,bins] = np.histogram(all_cosine_random_flat,bins=np.arange(0,1.1,0.1))\n", + "[remote_counts,bins] = np.histogram(all_cosine_remote_flat,bins=np.arange(0,1.1,0.1))\n", + "[running_counts,bins] = np.histogram(arm_run_cosines_flat_2,bins=np.arange(0,1.1,0.1))\n", + "plt.subplot(2,3,5)\n", + "plt.plot(bins[1:],rand_counts/len(all_cosine_random_flat),color='k')\n", + "plt.plot(bins[1:],remote_counts/len(all_cosine_remote_flat),color='b')\n", + "plt.plot(bins[1:],running_counts/len(arm_run_cosines_flat_2),color='g')\n", + "plt.title('Rat 5')\n", + "print('molly',scipy.stats.mannwhitneyu(all_cosine_random_flat, all_cosine_remote_flat))\n", + "\n", + "arm_run_cosines_flat_2 = cosine_dist_dict[16]\n", + "all_cosine_remote_flat = cosine_dist_dict[17]\n", + "all_cosine_random_flat = cosine_dist_dict[18]\n", + "#print(np.mean(all_random_PCA_variance_flat),np.mean(all_remote_PCA_variance_flat))\n", + "[rand_counts,bins] = np.histogram(all_cosine_random_flat,bins=np.arange(0,1.1,0.1))\n", + "[remote_counts,bins] = np.histogram(all_cosine_remote_flat,bins=np.arange(0,1.1,0.1))\n", + "[running_counts,bins] = np.histogram(arm_run_cosines_flat_2,bins=np.arange(0,1.1,0.1))\n", + "plt.subplot(2,3,6)\n", + "plt.plot(bins[1:],rand_counts/len(all_cosine_random_flat),color='k')\n", + "plt.plot(bins[1:],remote_counts/len(all_cosine_remote_flat),color='b')\n", + "plt.plot(bins[1:],running_counts/len(arm_run_cosines_flat_2),color='g')\n", + "plt.title('Rat 6')\n", + "print('arthur',scipy.stats.mannwhitneyu(all_cosine_random_flat, all_cosine_remote_flat))\n" + ] + }, + { + "cell_type": "markdown", + "id": "a16d3bb5", + "metadata": {}, + "source": [ + "## Figure 7: LFP analysis" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ab42b9a9", + "metadata": {}, + "outputs": [], + "source": [ + "# Figure 7A - example remote representations with LFP" + ] + }, + { + "cell_type": "code", + "execution_count": 199, + "id": "5c73c123", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "x limits 59485978.66773605 59515828.67145538\n" + ] + }, + { + "data": { + "text/plain": [ + "(-400.0, 400.0)" + ] + }, + "execution_count": 199, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# files: posterior_to_plot\n", + "import pickle\n", + "import seaborn as sns\n", + "import scipy\n", + "\n", + "# plot 1: timestamp: 59500900\n", + "# x limits 59485978.66773605 59515828.67145538\n", + "\n", + "# load\n", + "file_name = '/stelmo/mcoulter/coulter_all_figures/figure_4a_1_posterior.pkl'\n", + "file = open(file_name,'rb')\n", + "posterior_to_plot = pickle.load(file)\n", + "file.close()\n", + "file_name = '/stelmo/mcoulter/coulter_all_figures/figure_4a_1_lfp_x.pkl'\n", + "file = open(file_name,'rb')\n", + "lfp_x_values = pickle.load(file)\n", + "file.close()\n", + "file_name = '/stelmo/mcoulter/coulter_all_figures/figure_4a_1_lfp_y.pkl'\n", + "file = open(file_name,'rb')\n", + "lfp_y_values = pickle.load(file)\n", + "file.close()\n", + "\n", + "# plot\n", + "\n", + "# need to make heatmap\n", + "posterior_to_plot_reset = posterior_to_plot.reset_index()\n", + "\n", + "posterior_offline1 = posterior_to_plot.iloc[:,27:68]\n", + "posterior_offline2 = posterior_offline1.fillna(0)\n", + "post_heatmap = posterior_offline2.transpose()\n", + "post_heatmap = post_heatmap.iloc[::-1]\n", + "\n", + "matplotlib.rcParams.update({'font.size': 16})\n", + "matplotlib.rc('xtick', labelsize=16) \n", + "matplotlib.rc('ytick', labelsize=16) \n", + "\n", + "gs_kw = dict(height_ratios=[1, 3])\n", + "fig, axd = plt.subplot_mosaic([['upper'],['lower'],],\n", + " gridspec_kw=gs_kw, figsize=(10,5),\n", + " layout=\"constrained\")\n", + "sns.set_style(\"whitegrid\", {'axes.grid' : False})\n", + "\n", + "fig.suptitle('Tonks, SWR-associated')\n", + "axd['lower'] = (sns.heatmap(post_heatmap,vmin=0.1, vmax=0.5,cmap='bone_r'))\n", + "#ax.hlines([75-6,75-23,75-40,75-57], lw=1, color='w',*ax.get_xlim())\n", + "axd['lower'].hlines([30,14], lw=1, color='k',alpha=1,linestyles='dashed',*axd['lower'].get_xlim())\n", + " #ax.hlines([140-10,140-25,140-40,140-56,140-72,140-88,140-104,140-119], lw=1, color='w',*ax.get_xlim())\n", + "axd['lower'].plot(np.arange(0,posterior_to_plot_pos.shape[0]),\n", + " 41-posterior_to_plot_pos['real_pos'].values,alpha=1,color='green')\n", + "axd['lower'].tick_params(axis='both', length=5, width = 2)\n", + "axd['lower'].hlines([41-0.2,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].vlines([posterior_to_plot_pos.shape[0]-1.1,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "\n", + "# try to get timestamps for plotting LFP\n", + "start = posterior_to_plot_reset['bin_timestamp'].values[0]\n", + "end = posterior_to_plot_reset['bin_timestamp'].values[-1]\n", + "#lfp_time_ind = np.where((adjusted_ts>start) & (adjusted_ts" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# files: posterior_to_plot\n", + "import pickle\n", + "\n", + "# plot 2: timestamp: 37114860\n", + "# x limits 37099948.67563248 37129798.67219925\n", + "\n", + "# save\n", + "#fileObj = open('/cumulus/mcoulter/coulter_all_figures/figure_4a_2_posterior.pkl', 'wb')\n", + "#pickle.dump(posterior_to_plot,fileObj)\n", + "#fileObj.close()\n", + "#fileObj = open('/cumulus/mcoulter/coulter_all_figures/figure_4a_2_lfp_x.pkl', 'wb')\n", + "#pickle.dump(adjusted_ts[lfp_time_ind],fileObj)\n", + "#fileObj.close()\n", + "#fileObj = open('/cumulus/mcoulter/coulter_all_figures/figure_4a_2_lfp_y.pkl', 'wb')\n", + "#pickle.dump(lfp_band_eseries.data[lfp_time_ind, lfp_elect_indeces[lfp_plot]],fileObj)\n", + "#fileObj.close()\n", + "\n", + "# load\n", + "file_name = '/stelmo/mcoulter/coulter_all_figures/figure_4a_2_posterior.pkl'\n", + "file = open(file_name,'rb')\n", + "posterior_to_plot = pickle.load(file)\n", + "file.close()\n", + "file_name = '/stelmo/mcoulter/coulter_all_figures/figure_4a_2_lfp_x.pkl'\n", + "file = open(file_name,'rb')\n", + "lfp_x_values = pickle.load(file)\n", + "file.close()\n", + "file_name = '/stelmo/mcoulter/coulter_all_figures/figure_4a_2_lfp_y.pkl'\n", + "file = open(file_name,'rb')\n", + "lfp_y_values = pickle.load(file)\n", + "file.close()\n", + "\n", + "# plot\n", + "posterior_to_plot_reset = posterior_to_plot.reset_index()\n", + "\n", + "posterior_offline1 = posterior_to_plot.iloc[:,27:68]\n", + "posterior_offline2 = posterior_offline1.fillna(0)\n", + "post_heatmap = posterior_offline2.transpose()\n", + "post_heatmap = post_heatmap.iloc[::-1]\n", + "\n", + "matplotlib.rcParams.update({'font.size': 16})\n", + "matplotlib.rc('xtick', labelsize=16) \n", + "matplotlib.rc('ytick', labelsize=16) \n", + "\n", + "gs_kw = dict(height_ratios=[1, 3])\n", + "fig, axd = plt.subplot_mosaic([['upper'],['lower'],],\n", + " gridspec_kw=gs_kw, figsize=(10,5),\n", + " layout=\"constrained\")\n", + "sns.set_style(\"whitegrid\", {'axes.grid' : False})\n", + "\n", + "fig.suptitle('Tonks, still non-SWR')\n", + "axd['lower'] = (sns.heatmap(post_heatmap,vmin=0.1, vmax=0.5,cmap='bone_r'))\n", + "#ax.hlines([75-6,75-23,75-40,75-57], lw=1, color='w',*ax.get_xlim())\n", + "axd['lower'].hlines([30,14], lw=1, color='k',alpha=1,linestyles='dashed',*axd['lower'].get_xlim())\n", + " #ax.hlines([140-10,140-25,140-40,140-56,140-72,140-88,140-104,140-119], lw=1, color='w',*ax.get_xlim())\n", + "axd['lower'].plot(np.arange(0,posterior_to_plot_pos.shape[0]),\n", + " 41-posterior_to_plot_pos['real_pos'].values,alpha=1,color='green')\n", + "axd['lower'].tick_params(axis='both', length=5, width = 2)\n", + "axd['lower'].hlines([41-0.2,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].vlines([posterior_to_plot_pos.shape[0]-1.1,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "\n", + "# try to get timestamps for plotting LFP\n", + "start = posterior_to_plot_reset['bin_timestamp'].values[0]\n", + "end = posterior_to_plot_reset['bin_timestamp'].values[-1]\n", + "#lfp_time_ind = np.where((adjusted_ts>start) & (adjusted_ts" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pickle\n", + "\n", + "# plot 3: timestamp: 88753760\n", + "# x limits 88738846.50707245 88768696.49648666\n", + "\n", + "# load\n", + "file_name = '/stelmo/mcoulter/coulter_all_figures/figure_4a_3_posterior.pkl'\n", + "file = open(file_name,'rb')\n", + "posterior_to_plot = pickle.load(file)\n", + "file.close()\n", + "file_name = '/stelmo/mcoulter/coulter_all_figures/figure_4a_3_lfp_x.pkl'\n", + "file = open(file_name,'rb')\n", + "lfp_x_values = pickle.load(file)\n", + "file.close()\n", + "file_name = '/stelmo/mcoulter/coulter_all_figures/figure_4a_3_lfp_y.pkl'\n", + "file = open(file_name,'rb')\n", + "lfp_y_values = pickle.load(file)\n", + "file.close()\n", + "\n", + "# plot\n", + "posterior_to_plot_reset = posterior_to_plot.reset_index()\n", + "\n", + "posterior_offline1 = posterior_to_plot.iloc[:,27:68]\n", + "posterior_offline2 = posterior_offline1.fillna(0)\n", + "post_heatmap = posterior_offline2.transpose()\n", + "post_heatmap = post_heatmap.iloc[::-1]\n", + "\n", + "matplotlib.rcParams.update({'font.size': 16})\n", + "matplotlib.rc('xtick', labelsize=16) \n", + "matplotlib.rc('ytick', labelsize=16) \n", + "\n", + "gs_kw = dict(height_ratios=[1, 3])\n", + "fig, axd = plt.subplot_mosaic([['upper'],['lower'],],\n", + " gridspec_kw=gs_kw, figsize=(10,5),\n", + " layout=\"constrained\")\n", + "sns.set_style(\"whitegrid\", {'axes.grid' : False})\n", + "\n", + "fig.suptitle('Ron, movement')\n", + "axd['lower'] = (sns.heatmap(post_heatmap,vmin=0.1, vmax=0.5,cmap='bone_r'))\n", + "axd['lower'].hlines([30,14], lw=1, color='k',alpha=1,linestyles='dashed',*axd['lower'].get_xlim())\n", + "axd['lower'].plot(np.arange(0,posterior_to_plot_pos.shape[0]),\n", + " 41-posterior_to_plot_pos['real_pos'].values,alpha=1,color='green')\n", + "axd['lower'].tick_params(axis='both', length=5, width = 2)\n", + "axd['lower'].hlines([41-0.2,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "axd['lower'].vlines([posterior_to_plot_pos.shape[0]-1.1,0], lw=1, color='k',alpha=1,*axd['lower'].get_xlim())\n", + "\n", + "# try to get timestamps for plotting LFP\n", + "start = posterior_to_plot_reset['bin_timestamp'].values[0]\n", + "end = posterior_to_plot_reset['bin_timestamp'].values[-1]\n", + "#lfp_time_ind = np.where((adjusted_ts>start) & (adjusted_ts" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# single summary per rat weighted by number of events\n", + "\n", + "all_summary_mvt = []\n", + "all_summary_still = []\n", + "all_summary_ripple = []\n", + "\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 0\n", + "plt.rcParams['ytick.major.width'] = 2\n", + "plt.rcParams['xtick.major.width'] = 2\n", + "\n", + "for rat in ['pippin','tonks','ginny','ron','molly','arthur',]: \n", + "\n", + " if rat == 'pippin':\n", + " lfp_summary_array = np.array([np.sum(pippin_target_still),\n", + " np.sum(pippin_target_mvt),\n", + " np.sum(pippin_target_rip)])\n", + " \n", + " elif rat == 'tonks':\n", + " lfp_summary_array = np.array([np.sum(tonks_target_still),\n", + " np.sum(tonks_target_mvt),\n", + " np.sum(tonks_target_rip)])\n", + " elif rat == 'ginny':\n", + " lfp_summary_array = np.array([np.sum(ginny_target_still),\n", + " np.sum(ginny_target_mvt),\n", + " np.sum(ginny_target_rip)])\n", + " elif rat == 'ron':\n", + " lfp_summary_array = np.array([np.sum(ron_target_still),\n", + " np.sum(ron_target_mvt),\n", + " np.sum(ron_target_rip)])\n", + " elif rat == 'molly':\n", + " lfp_summary_array = np.array([np.sum(molly_target_still),\n", + " np.sum(molly_target_mvt),\n", + " np.sum(molly_target_rip)])\n", + " elif rat == 'arthur':\n", + " lfp_summary_array = np.array([np.sum(arthur_target_still),\n", + " np.sum(arthur_target_mvt),\n", + " np.sum(arthur_target_rip)])\n", + " \n", + " all_summary_mvt.append(lfp_summary_array[1]/np.sum(lfp_summary_array))\n", + " all_summary_still.append(lfp_summary_array[0]/np.sum(lfp_summary_array))\n", + " all_summary_ripple.append(lfp_summary_array[2]/np.sum(lfp_summary_array))\n", + " \n", + "num_bars = 6 \n", + "fig, ax = plt.subplots()\n", + "# movement\n", + "ax.bar(np.arange(num_bars), np.array(all_summary_mvt), color = \"darkgreen\",)\n", + "# still\n", + "ax.bar(np.arange(num_bars), (1 - np.array(all_summary_mvt)) - np.array(all_summary_ripple), color = \"silver\",\n", + " bottom = np.array(all_summary_mvt))\n", + "# ripple\n", + "ax.bar(np.arange(num_bars), np.array(all_summary_ripple), color = \"grey\",\n", + " bottom = (1 - np.array(all_summary_mvt)) - np.array(all_summary_ripple)+np.array(all_summary_mvt))\n", + "ax.spines['top'].set_linewidth(2)\n", + "ax.spines['right'].set_linewidth(2)\n", + "ax.spines['bottom'].set_linewidth(2)\n", + "ax.spines['left'].set_linewidth(2)\n", + "\n", + "plt.title('all rats - target')\n", + "#plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 357, + "id": "1ae1258c", + "metadata": {}, + "outputs": [], + "source": [ + "# random\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/pippin_lfp_random.pkl', 'rb')\n", + "lfp_dict = pickle.load(fileObj)\n", + "fileObj.close()\n", + "pippin_target_still = lfp_dict['still']\n", + "pippin_target_mvt = lfp_dict['mvt']\n", + "pippin_target_rip = lfp_dict['rip']\n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/tonks_lfp_random.pkl', 'rb')\n", + "lfp_dict = pickle.load(fileObj)\n", + "fileObj.close()\n", + "tonks_target_still = lfp_dict['still']\n", + "tonks_target_mvt = lfp_dict['mvt']\n", + "tonks_target_rip = lfp_dict['rip']\n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/ginny_lfp_random.pkl', 'rb')\n", + "lfp_dict = pickle.load(fileObj)\n", + "fileObj.close()\n", + "ginny_target_still = lfp_dict['still']\n", + "ginny_target_mvt = lfp_dict['mvt']\n", + "ginny_target_rip = lfp_dict['rip']\n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/ron_lfp_random.pkl', 'rb')\n", + "lfp_dict = pickle.load(fileObj)\n", + "fileObj.close()\n", + "ron_target_still = lfp_dict['still']\n", + "ron_target_mvt = lfp_dict['mvt']\n", + "ron_target_rip = lfp_dict['rip']\n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/molly_lfp_random.pkl', 'rb')\n", + "lfp_dict = pickle.load(fileObj)\n", + "fileObj.close()\n", + "molly_target_still = lfp_dict['still']\n", + "molly_target_mvt = lfp_dict['mvt']\n", + "molly_target_rip = lfp_dict['rip']\n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/arthur_lfp_random.pkl', 'rb')\n", + "lfp_dict = pickle.load(fileObj)\n", + "fileObj.close()\n", + "arthur_target_still = lfp_dict['still']\n", + "arthur_target_mvt = lfp_dict['mvt']\n", + "arthur_target_rip = lfp_dict['rip']\n" + ] + }, + { + "cell_type": "code", + "execution_count": 358, + "id": "777fbded", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'all rats - random')" + ] + }, + "execution_count": 358, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# single summary per rat weighted by number of events\n", + "\n", + "all_summary_mvt = []\n", + "all_summary_still = []\n", + "all_summary_ripple = []\n", + "\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 0\n", + "plt.rcParams['ytick.major.width'] = 2\n", + "plt.rcParams['xtick.major.width'] = 2\n", + "\n", + "for rat in ['pippin','tonks','ginny','ron','molly','arthur',]: \n", + "\n", + " if rat == 'pippin':\n", + " lfp_summary_array = np.array([np.sum(pippin_target_still),\n", + " np.sum(pippin_target_mvt),\n", + " np.sum(pippin_target_rip)])\n", + " \n", + " elif rat == 'tonks':\n", + " lfp_summary_array = np.array([np.sum(tonks_target_still),\n", + " np.sum(tonks_target_mvt),\n", + " np.sum(tonks_target_rip)])\n", + " elif rat == 'ginny':\n", + " lfp_summary_array = np.array([np.sum(ginny_target_still),\n", + " np.sum(ginny_target_mvt),\n", + " np.sum(ginny_target_rip)])\n", + " elif rat == 'ron':\n", + " lfp_summary_array = np.array([np.sum(ron_target_still),\n", + " np.sum(ron_target_mvt),\n", + " np.sum(ron_target_rip)])\n", + " elif rat == 'molly':\n", + " lfp_summary_array = np.array([np.sum(molly_target_still),\n", + " np.sum(molly_target_mvt),\n", + " np.sum(molly_target_rip)])\n", + " elif rat == 'arthur':\n", + " lfp_summary_array = np.array([np.sum(arthur_target_still),\n", + " np.sum(arthur_target_mvt),\n", + " np.sum(arthur_target_rip)])\n", + " \n", + " all_summary_mvt.append(lfp_summary_array[1]/np.sum(lfp_summary_array))\n", + " all_summary_still.append(lfp_summary_array[0]/np.sum(lfp_summary_array))\n", + " all_summary_ripple.append(lfp_summary_array[2]/np.sum(lfp_summary_array))\n", + " \n", + "num_bars = 6 \n", + "fig, ax = plt.subplots()\n", + "# movement\n", + "ax.bar(np.arange(num_bars), np.array(all_summary_mvt), color = \"darkgreen\",)\n", + "# still\n", + "ax.bar(np.arange(num_bars), (1 - np.array(all_summary_mvt)) - np.array(all_summary_ripple), color = \"silver\",\n", + " bottom = np.array(all_summary_mvt))\n", + "# ripple\n", + "ax.bar(np.arange(num_bars), np.array(all_summary_ripple), color = \"grey\",\n", + " bottom = (1 - np.array(all_summary_mvt)) - np.array(all_summary_ripple)+np.array(all_summary_mvt))\n", + "ax.spines['top'].set_linewidth(2)\n", + "ax.spines['right'].set_linewidth(2)\n", + "ax.spines['bottom'].set_linewidth(2)\n", + "ax.spines['left'].set_linewidth(2)\n", + "\n", + "plt.title('all rats - random')\n", + "#plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 202, + "id": "f7578c5f", + "metadata": {}, + "outputs": [], + "source": [ + "# head direction\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/pippin_lfp_head.pkl', 'rb')\n", + "lfp_dict = pickle.load(fileObj)\n", + "fileObj.close()\n", + "pippin_target_still = lfp_dict['still']\n", + "pippin_target_mvt = lfp_dict['mvt']\n", + "pippin_target_rip = lfp_dict['rip']\n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/tonks_lfp_head.pkl', 'rb')\n", + "lfp_dict = pickle.load(fileObj)\n", + "fileObj.close()\n", + "tonks_target_still = lfp_dict['still']\n", + "tonks_target_mvt = lfp_dict['mvt']\n", + "tonks_target_rip = lfp_dict['rip']\n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/ginny_lfp_head.pkl', 'rb')\n", + "lfp_dict = pickle.load(fileObj)\n", + "fileObj.close()\n", + "ginny_target_still = lfp_dict['still']\n", + "ginny_target_mvt = lfp_dict['mvt']\n", + "ginny_target_rip = lfp_dict['rip']\n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/ron_lfp_head.pkl', 'rb')\n", + "lfp_dict = pickle.load(fileObj)\n", + "fileObj.close()\n", + "ron_target_still = lfp_dict['still']\n", + "ron_target_mvt = lfp_dict['mvt']\n", + "ron_target_rip = lfp_dict['rip']\n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/molly_lfp_head.pkl', 'rb')\n", + "lfp_dict = pickle.load(fileObj)\n", + "fileObj.close()\n", + "molly_target_still = lfp_dict['still']\n", + "molly_target_mvt = lfp_dict['mvt']\n", + "molly_target_rip = lfp_dict['rip']\n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/arthur_lfp_head.pkl', 'rb')\n", + "lfp_dict = pickle.load(fileObj)\n", + "fileObj.close()\n", + "arthur_target_still = lfp_dict['still']\n", + "arthur_target_mvt = lfp_dict['mvt']\n", + "arthur_target_rip = lfp_dict['rip']\n" + ] + }, + { + "cell_type": "code", + "execution_count": 203, + "id": "55105824", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'all rats - head direction')" + ] + }, + "execution_count": 203, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# single summary per rat weighted by number of events\n", + "\n", + "all_summary_mvt = []\n", + "all_summary_still = []\n", + "all_summary_ripple = []\n", + "\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 0\n", + "plt.rcParams['ytick.major.width'] = 2\n", + "plt.rcParams['xtick.major.width'] = 2\n", + "\n", + "for rat in ['pippin','tonks','ginny','ron','molly','arthur',]: \n", + "\n", + " if rat == 'pippin':\n", + " lfp_summary_array = np.array([np.sum(pippin_target_still),\n", + " np.sum(pippin_target_mvt),\n", + " np.sum(pippin_target_rip)])\n", + " \n", + " elif rat == 'tonks':\n", + " lfp_summary_array = np.array([np.sum(tonks_target_still),\n", + " np.sum(tonks_target_mvt),\n", + " np.sum(tonks_target_rip)])\n", + " elif rat == 'ginny':\n", + " lfp_summary_array = np.array([np.sum(ginny_target_still),\n", + " np.sum(ginny_target_mvt),\n", + " np.sum(ginny_target_rip)])\n", + " elif rat == 'ron':\n", + " lfp_summary_array = np.array([np.sum(ron_target_still),\n", + " np.sum(ron_target_mvt),\n", + " np.sum(ron_target_rip)])\n", + " elif rat == 'molly':\n", + " lfp_summary_array = np.array([np.sum(molly_target_still),\n", + " np.sum(molly_target_mvt),\n", + " np.sum(molly_target_rip)])\n", + " elif rat == 'arthur':\n", + " lfp_summary_array = np.array([np.sum(arthur_target_still),\n", + " np.sum(arthur_target_mvt),\n", + " np.sum(arthur_target_rip)])\n", + " \n", + " all_summary_mvt.append(lfp_summary_array[1]/np.sum(lfp_summary_array))\n", + " all_summary_still.append(lfp_summary_array[0]/np.sum(lfp_summary_array))\n", + " all_summary_ripple.append(lfp_summary_array[2]/np.sum(lfp_summary_array))\n", + " \n", + "num_bars = 6 \n", + "fig, ax = plt.subplots()\n", + "# movement\n", + "ax.bar(np.arange(num_bars), np.array(all_summary_mvt), color = \"darkgreen\",)\n", + "# still\n", + "ax.bar(np.arange(num_bars), (1 - np.array(all_summary_mvt)) - np.array(all_summary_ripple), color = \"silver\",\n", + " bottom = np.array(all_summary_mvt))\n", + "# ripple\n", + "ax.bar(np.arange(num_bars), np.array(all_summary_ripple), color = \"grey\",\n", + " bottom = (1 - np.array(all_summary_mvt)) - np.array(all_summary_ripple)+np.array(all_summary_mvt))\n", + "ax.spines['top'].set_linewidth(2)\n", + "ax.spines['right'].set_linewidth(2)\n", + "ax.spines['bottom'].set_linewidth(2)\n", + "ax.spines['left'].set_linewidth(2)\n", + "\n", + "plt.title('all rats - head direction')\n", + "#plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3d3ac5bc", + "metadata": {}, + "outputs": [], + "source": [ + "# Figure 7C - decode and brain state" + ] + }, + { + "cell_type": "code", + "execution_count": 404, + "id": "f98bc196", + "metadata": {}, + "outputs": [], + "source": [ + "# load posterior LFP dict\n", + "file = open('/stelmo/mcoulter/coulter_all_figures/posterior_lfp_plot_dict.pkl','rb')\n", + "posterior_lfp_plot_dict = pickle.load(file)\n", + "file.close()\n", + "\n", + "ron_content_rip_time = posterior_lfp_plot_dict[1]\n", + "ron_head_dir_rip_time = posterior_lfp_plot_dict[2]\n", + "ron_content_norip_time = posterior_lfp_plot_dict[3]\n", + "ron_head_dir_norip_time = posterior_lfp_plot_dict[4]\n", + "\n", + "tonks_content_rip_time = posterior_lfp_plot_dict[5]\n", + "tonks_head_dir_rip_time = posterior_lfp_plot_dict[6]\n", + "tonks_content_norip_time = posterior_lfp_plot_dict[7]\n", + "tonks_head_dir_norip_time = posterior_lfp_plot_dict[8]\n", + "\n", + "ginny_content_rip_time = posterior_lfp_plot_dict[9]\n", + "ginny_head_dir_rip_time = posterior_lfp_plot_dict[10]\n", + "ginny_content_norip_time = posterior_lfp_plot_dict[11]\n", + "ginny_head_dir_norip_time = posterior_lfp_plot_dict[12]\n", + "\n", + "pippin_content_rip_time = posterior_lfp_plot_dict[13]\n", + "pippin_head_dir_rip_time = posterior_lfp_plot_dict[14]\n", + "pippin_content_norip_time = posterior_lfp_plot_dict[15]\n", + "pippin_head_dir_norip_time = posterior_lfp_plot_dict[16]\n", + "\n", + "molly_content_rip_time = posterior_lfp_plot_dict[17]\n", + "molly_head_dir_rip_time = posterior_lfp_plot_dict[18]\n", + "molly_content_norip_time = posterior_lfp_plot_dict[19]\n", + "molly_head_dir_norip_time = posterior_lfp_plot_dict[20]\n", + "\n", + "arthur_content_rip_time = posterior_lfp_plot_dict[21]\n", + "arthur_head_dir_rip_time = posterior_lfp_plot_dict[22]\n", + "arthur_content_norip_time = posterior_lfp_plot_dict[23]\n", + "arthur_head_dir_norip_time = posterior_lfp_plot_dict[24]" + ] + }, + { + "cell_type": "code", + "execution_count": 214, + "id": "bd80ab83", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "09-Dec-24 00:33:05 Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n", + "09-Dec-24 00:33:05 Using categorical units to plot a list of strings that are all parsable as floats or dates. If these strings should be plotted as numbers, cast to the appropriate data type before plotting.\n" + ] + }, + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'All rats: content rips vs no rips')" + ] + }, + "execution_count": 214, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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nSx/Ttatksbi+5ptvSqmpl1cXAAAA4AmnTkl//rM0caJksxW9fuKENHSo9OKLBOa4cplMJtWrV0+tW7eW0WiU5NhZHhAQ4OXKAO8jLAcAlMjfX3r0UUcgXpLHH3e8NNVVdrtjN447ATsAAADgaTk50pQp0rp1ZY/96CNpyRJasgBAdUNYDgAoVYMG0oIF0j33SAZD0ev16v3ez9FVX3/NThwAAABULamp0rRpro+fNElKTvZcPQCAysfrKwAAZYqKkj75xLHTZvZs6fvvHTvDW7RwhOnuyshwP2AHAAAAPGn1aslsdn38iRPS8eNSw4aeqwkAULkIywEALqlTx/H24ouOl6jabFLNmtKhQ+Vby9+/ggsEAKCKCwyUoqICVbt2gCwWx89Ci8WmU6fMysqilwNQHhs3bpTZnYS7BJGRkdqw4Q9y9wX4O3aYZbfvVHZ2drnu12Qy6cYbbyzXXABAxSMsBwC4xd9fql3797+XJ/h+8EEpPLxCywIAoMoyGKTmzU3KyQnQ1KkGLVlicB4cGBfnr2ef9dcf/mBTQsJFmc2E5oA7zGazTp8+XwFPONVRXl7hnoN5eTVlMjnelyQ3V0pMzFFamvthee3aBkVEuD0NAOBBhOUAgMsSFSWFhDh2m7vCYJAeeEDioHUAgC8wGKT27Wto6lR/ffll0cM/du6U7r3XT+3b++mbb2rowIELuniRwBxwR1aWXUlJVgUEmMq9hsmUq3btLJICnbcdPfqoYmO/0YkT95Y4r2lTuw4dytP58+795zYvz6zoaH/CcgCoYogqAACXLSjI9bD8hRfYVQ4A8B2NGwfqvfeKD8oL2rtXGjzYX998U0O7d7v4QxWAU0CASS1bdi/3fINBuvPOAE2aJOcrP1JTuys1teQ169aVmjY1KifnOrfvLyFhvaS8ctUKAPAc95pxAQBQDL///TQxGksf9+yz0pNPOnaiAwBQ3fn5SUFBRk2fXnpQnu/XX6WtWw0KC+PXNKCy2e1SdrZFd97p+is7Ro+2KS3t8vulAwCqDv4XBgCoMOHh0qpV0g03/H6bySSNGCHt2eMIy9lVDgDwFVFRAfrsM9eC8nxvvOGniIjyt5IAUH6Jibl69VWbmjcve2z37nYNGmRTSorV84UBACoNbVgAABXGz0/q1UuKi5Oysx0vYTUaHS9RrVHD29UBAFC5atY06rvv3AvLExIku929OQAqRl6edPDgBS1eXEPPP+9X6DDefCaT9Oijdv3lL1bt23dBdo4YAIBqhbAcAFDh6tZ1vAEA4Mv8/aWsLPfnWa2E5YC3XLhg1549ORo/PlCvvGLU8uXS7t0G+ftL3bpJN9xg07lzFu3ebSEoB4BqiDYsAAAAAOABVqtddeq4Py8ggAQO8CZ/f4MCA/2UnS1JBjVqZFBUlEEnT0oZGQbVrOmvoCCe1AKA6oid5QAAAADgAdnZebr3Xn+9+abre5Tat5dsl/Z9AFBpatUyqHnzmho61E/bt1961aBXXjGoQwc/ffmlv44fv6DMTL5fAaA6YWc5AAAAAHjAqVN5GjLEvTnPPmvT6dO5nikIQKkCAqQWLWqoT5/igvLf7d4t3Xqrnxo3rqHAwMqrDwDgeYTlAAAAAOABdruUnW3RM8+4tvP0mmvs6tjRpowMdqoC3tCwoVGvvuqnEyfKHpuSIj37rEHR0aTlAFCdEJYDAAAAgIccP56rIUOseuqp0gPwbt3s+vxzmw4evFBJlQG4VGioUd9+63ov8hUrDKpVyygD7csBoNogLAcAuCUzU/rtNyk+Xtq5U0pIkGitCgBAyX799aIGD7bop59sGj7crho1HLcbDFKvXnatXGnTBx9YtWdPjiwW79YK+KqQED9t22ZQXp7rc+x2aeVKg+rVI1oBgOqCAz4BAC45f146eFB66SVpyZLCAfmNNzp+4Sc0B6qO7GwpNdXRVzUtTapbV+rQQQoPl2rX9nZ1gO85ejRX/v65evDBAD3xxO9tG3Jy8pScbNGZM3YvVgcgKMig48fdn/fbb9K117K1HACqC8JyAECZsrKk776THnnEsYPmUrm5ksnkGJeWJtWrV+klAvgfm006ckSaOFFasECFdsj5+0v9+0tTpkjNmzv+DqDyWK1SYmKeEhPd2LoKoFJYrXYFBbk/r0YNu6zWiq8HAOAdvFYIAFCmnTulhx8uPigvKDtb+vpr8RJywEvsdmnPHumaa6S5c1XkpeRWqzR/vtS5s7RrF68GAQAgX1aWTV27uj/vppukzEx+oAJAdUFYDgAo1Zkz0pgxro+fNEk6dcpz9QAoWWKidPPNUkZG6eOys6VevRzjAQCA45WSoaE2NWni+pyICCk21q6cHNooAUB1QVgOAChVSopjB6qr0tMdh38CqHzr1jn6lLvi3DnpP/8p+xUjAAD4ijNnzHr1Vdd3if/973alpZk9WBEAoLIRlgMASrV9u/tzFi+u+DoAlO7UKWnyZPfmvPYarwQBACBfWppNzZpZ9NJLZQfmTz9tU5cueUpJoWE5AFQnhOUAgFLl5Lg/5/x5eiEDlc1slhISit4eHr5eV1/9uMLD1xe5duyYYx4AAHA4ciRXvXpZ9N//2vSnPxV9+dUf/ygtXmzT4MF5OnjwohcqBAB4UoC3CwAAVG2xse7PadZM8uPpWKBSldROpUmTz1Sr1nE1afKZUlO7uzwPAABfdfRormrWtOiNNwIVFBSgc+ccPy/DwqTc3DydOpWrI0f4AQoA1RFhOQCgVB07SkFB0kU3Ns4MGeK5egAULzBQqltXOnu28O0BATmF3hcUEiIZjZVRHQAAV5acHLuOHDFLMjs3gdC6DACqP/b9AQBKFREhPfyw6+OvucYxB0DlioiQnnrKvTl//asUGemRcgAAqDZsNloMAoCvICwHAJSqRg1p4kSpadOyxxoM0uzZUni45+sCUFhAgONVHQEuvm7Qz08aOpSd5UBl8veXYmIC1LhxoBo3DlRMTID8/b1dFQAAAPLRhgUAUKbYWGndOmnQIGn79pLHRURILVtWXl0ACouKkubMke65p+xe5F98IUVHV05dgK8zmQxq1Mgkm81fM2YYtHu3QXa71KGDXcOG2eXvb9Xx42aZzfRABgAA8CbCcgCASxo3lpYtk06elN5+W9q5U7JapRYtHDvKMzMdO1rZIQd4T40a0m23ScuXS8OGOb5fL9WggTRtmnTTTVLNmpVfI+BratUyqHnzmho2zE/bthW+tnWrQdOnG3TNNX6aOdNfR47kKDubwBwAAMBbCMsBAC6LiHC8ffyxlJ3t2Llau7b0wAOO6xcuSF9+6dhdHhvr2OVqMHi3ZsDX1K4t3Xqr9NNP0qFD0ksvOZ7YqllTWrtWatXK8b3pRzM+wOMCAqQWLWqod28/nThR8rjt26Xevf20YkUN7duXI4ul8moEAADA7/g1CQDgtpo1HaG5n5/0739Lp087bj97VnrwQalrV8fbp59KZ854t1bAF/n5SQ0bSjfeKIWFOW4LC5N69HC0XiEoBypHw4aBevnl0oPyfImJ0qRJfmrYMNDzhQEAAKBY/KoEACiXM2ekv/3N0erBai16/cQJ6bHHpKeeIjAHAPim0FCj5s93/SVWixYZFBLCqbsAAADeQlgOAHCb1Sp99ZXjgMCyfP21NGuWlJfn8bIAAKgy6tTx06ZNxT+hXBKrVdq4UQoL49c0AAAAb+B/YQAAtyUnS5Mnuz7+tdekU6c8Vw8AAFWNyWTQ0aPuzztyxKCgIA78AAAA8AbCcgCA2379VUpLc338uXPSL794rh4AAKoam00KCnJ/Xo0adrd2owMAAKDiEJYDANy2ZUvlzAEA4EqVlWXTdde5P+/66x1zAQAAUPkIywEAbitP/3GLpeLrAACgqrp40a6ICJsaNnR9ToMGUoMGNl24YPdcYQAAACgRYTkAwG1t27o/p127iq8DAICqLCPDosmTXQ++//EPu9LScj1YEQAAAEpDWA4AcNt110kmk+vjAwOlm27yXD0AAFQ1JpNB9esHKi9PevLJssc//bRNcXF5On2ahuUAAFwqN1dKSpKOHpWOH5dOn/Z2RaiuCMsBAG6LiJAeecT18UOGSPXre6wcAACqnBYtgnT//X4aOdKg8HBp9mzp2muLjrvmGunf/7brscfsSki4WPmFAgBQhWVnSwcPSi+84HiFc9OmUuPG0s03S/PmSYmJ3q4Q1U2AtwsAAFx5avw/e/cdX2V9/n/8dZ+ZnRASAglhiGxBxFFQZKOIaFGps05wi6O21tFaq36tLSpqqyI/FKpWrUJpcYOIooK4kL1kk713Ts76/XHLiFnnhJzM9/PxyCPk3J/P51xpPTnnvu7PfV3h8Mc/wpdfwqZN9Y8dOBAeeQQiIponNhERkZYWHW2wY4eFDRsMAB58EPr0gRtvhMceg7w88PshIQF++AEeeMDgxRcNnE4Dl0v1ykVERAAKC+Gtt+Cmm8z3zaNt2gS/+hWkpsLHH0O/fi0SorRDSpaLiEijpKTAhx/CXXfBgQM1j1ssMG0aPPOMOVZERKSjSEpycvPN1W/i3bUL7rnH/PehC8jl5UeOz5ljcP/9dvbuVc1yERGRqip45x3zQnN9DhwwS36uXQs9ejRPbNK+qQyLiIg0WkoKzJ8PXbuaP4eHw4UXwl/+Ajt3wssvQ/fuLRujiIhIc7PbLXz/fd3Hy8urJ8oBPvzQICpKe5lEREQAsrLgllsCG5uZaW7SqtL1ZmkC+jQmIiLHJCYGrFbz3/Hx8OabYNO7i4iIdGDeRvTo9Hpr3mIuIiLSUX31lVmvPFDz5sGdd5plWUSOhXaWi4hIk1KiXEREOjq7HQwjuDnh4aGJRUREpK0pLTXvYA52TmZmaOKRjkXJchERERERkSZUVuZh8uTgtolfdpmfoiJ3iCISERFpO6qqzOaeDUlI+JSTTrqJhIRPASgoCGlY0kEoWS4iIiIiItKEMjLc3H13cMnyG2/0k5GhZLmIiIjDAbGxDY/r1etlYmK20avXywDExYU2LukYlCwXERERERFpQi6Xn5gYL9OnB5Ywv+UWHx6Pu1G1zkVERNqbqCi47rqGx9ls5Ye/R0ZC164hDkw6BCXLRUREREREmtiuXZU8+KCXyy+vP2E+a5aP66/3sndvVTNFJiIi0vqdfjpERgY+fsYMSEoKXTzScShZLiIiIiIi0sR8Pti0qYLbb3ezdq2P667zEx9vNv9MTITbbvPz3Xc+LrnEzZYtlS0droiISKuSlATPPBPYWIsF7roLnM7QxiQdg62lAxAREREREWnNtm7dyscfr8TlcvP11wsbtYbVajBq1JGf9+7188c/Vh9jGGCxGBiG+bPfDz6fH39w5c8B8HhcOJ12Jk4cx6RJkxoVs4iISEtxOuGCC6C0FO68s/6xiYnQq1dzRCUdgZLlIiISkNxccLnME3ebTfXgRESk41izZg3FxQUAuFylLRxN4Fwu+Oqrr7j99ttbOhQREZGgxcfDtdfC2WfD88/DSy9BuVmmnHHjzNrmxcXmxeb0dHM3utXasjFL26dkuYiI1OvgQfj+e3j4Ydi4Ebxe6N0bfvc780NLcnJLRygiR8vMhKws2LfPvCXV42npiETavpEjRx7eWW6zNe093hYLGIZBbi517iC3WCAhAbzewHeZH9pZPmLEiKYLVkREpJnFxJhff/sb3HOPeT7q88G2bfD442aiPDMTTj0V7rgDfvUrc2NXeHhLRy5tlZLlIiJSK7/f/AAycaJ5lf5oP/4IN95ofgB59926T+5FpPnk5sLy5fCnP8HevXDhhXDppUeS5R6POSYhoUXDFGmTBg4ciMORSlaWjb59xzbZupGRBl26RDBunAWXq/6xcXGwcqWPXbvKcbkafuPdufNTkpI89OkT1TTBioiItKCwMOjeHXbvNjdt/fgjjBhxpE55ejr8/vfwwAPwr3/B5Mlmkl0kWGrwKSIitdqzB0aNqpkoP1pFhflBxe02f/b7zWRcadu5Q12kXcjNhXvvhcsvh/794YMPoFMnuPJKyMszx2RlwW9/a94hoteoSOvQrZuTW29tOFEOUFgIDz5o0K2bPeRxiYhIx+P3+9m5cyfffPMNP/zwAxkZGZS2sg+NBw7AmDFmorwuHg9ccgmsXKk7LKVxtLNcRERqKC01r8jn5zc81uOBggKzNlxuLkyaZDZYuf12GDbMvAXOpncbkZDxeOCVV8wajtOnw3nnwTnnHLmIdbR//tMcO2+eeYtqbGzzxysiJrOmqpV16wKf8957Bo8+ascwqnRXl4iINAn/T28oxcXFzJkzp9qxnj17Mn36dFJSUggLC2uJ8A6rqoK//90sExqI666D9evN3egiwTim9MVnn33GggUL2LJlC1VVVfTu3ZsLL7yQK664Aosl+E3r69atY968eaxbt47y8nK6d+/Oueeey8yZM3E6a9YG3Lx5M++++y4bNmwgLS2N/Px8LBYL3bt358wzz2TGjBkk6F5jEZGg5ebCokWBj/d4zJN+jwd++MF8bPlyc2frG2/AGWeYzVdEpOllZsKjj5q9BK66Ci64wKzlWBe/H66/Hrp0MRPrhtF8sYrIEQkJVv73v+Dm+Hzw1VeQkmKhqMgXmsBERKTDKCwsPLx73F/LVdh9+/bx5JNPcuWVV3LSSSe1aMI8Kwvmzg18fH4+bNigZLkEr9FlWObNm8cNN9zAmjVriImJoUePHmzbto1HH32UW2+9FZ8vuA9vS5cu5YorruCTTz7B4XDQp08f9u/fz7PPPssVV1xBRUVFjTnLli3j5ZdfZt26dfh8Po4//ngSExPZvXs3L7/8Mueeey5btmxp7K8oItJhrVvXuFvWHI7qPxcUmDtcV60ydwKISNPbsMF8rd10k5k0ry9RfrRbboGMjNDGJiJ1czgMMjODv1qVnQ12VWIREZFjVFZWxhtvvIE3gA+Pr732GpmZmc0QVd3S06GkJLg5zz9vlg4VCUajdpavW7eOp556CovFwuzZs5k6dSoA27ZtY8aMGXzyyScsWLCAGTNmBLTewYMHeeCBB/B6vfzud79jxowZGIZBWloaM2bMYOPGjcyePZsHH3yw2rzTTjuNE044gZEjRxJ11JbFtLQ07r//fr766ivuuece3n333cb8miIiHVZOTuPm1XZTkd9vlobYtg169Di2uESkps8+MxsbnXii2dQoUGlpsGsXJCeHLjYRqZvH429U47HoaNVgFRGRY1daWsrGjRsDGuv3+1m6dCkzZ84kIiIiqOdZtWoVrkCac9TDbrdTVDQCCG5ne0EBbNu2h9zceoqc18PpdDJ69OhGzZW2q1HJ8hdeeAG/38/FF198OFEOMGDAAO69915++9vfMm/ePK666irsAWx7eOmll6iqqmLUqFHMnDnz8OMpKSk89thjXHbZZbz11lvccsst1cqqnHHGGbWul5KSwlNPPcUZZ5zBzp072bt3L7169WrMryoi0iE1to6xwwHHH28m4I6+i6+iwmywcvXVTROfiBxRVWW+7r7/Pvi5ixbBmWc2fUwi0rCCAh9Tpvh5+ungdpeffjrs3q0SLCIi0nher5fVq1cHNWfbtm2UlZUFnSx3uVxkZ5dRUtL4Zhs2m5UePWrO93gicDrN77WJioL8/HJ27Qq+UWl0tEGXLkFPk3Yg6GR5aWnp4RfU9OnTaxyfPHkyDz30EIWFhaxdu5ZRo0bVu57f72f58uUAXHTRRTWODx8+nOOOO47du3ezYsUKLrnkkoDi7Ny5M7GxsRQWFlJZWRnQHBERMQ0f3vi5f/wjHHccLFkCCxaYV/MB5syBKVPM5p8i0nT694fVq6GsLPi5h16fItL8Kiv99OrlIzXVwoEDgc055RTw+70Bl1sSEZH2oSl2Zx8tJSWFXbt2BT0vJyeHDRs2BFV6edOmTeTkWLBaU7DZavYjDNRJJ3lwOuHo/xn27r2O1NR/c+BA7bnC6dNd/PhjLllZwaU/PR4XKSlWJcs7qKCT5Vu2bMHtduN0Ohk0aFCN43a7nSFDhrBmzRrWr1/fYLI8PT2dnJ/u9z/55JNrHTN8+HB2797N+vXrA06W79mzh8LCQiIjI+nZs2dAc0RExJSQABMnwscfBzb+UPmVwkJz97jFAueeC2+/DffcY+54TUsDtztkIYt0WGefDX//O3TuHPxcNTwSaVnZ2S7mzLEwfXrDraSsVpg920dmZtMlS0REpG1wuVzk5+c32WbQuLi4w7XKLT+dzFlqq6n5M263m8zMTDxB1AMrLS3F643E6XTSt+/YRsULUF5u57LL/CxceOSOrNzcseTm1r5mRASMGGFj48bhREcH91w7d34KqOZZRxV0snzfvn0AdOvWDZut9umpqamsWbPm8NhA1nM4HHSp45JNampqtbH1yc/PZ926dcyePRuAu+++m/Dw8DrHL1iwgAULFjS47tFyGlvMV0SkjejUCZ56Ck49tfqV+7rExFRvnOLzwTvvmI0933oL7rgj+GYsIhKYhAQYPBiGDjUvVAXTY/3SS0MXl4g0LD/fR48ebubOtXPzzZZqJcyOZrfDG2/48PlclJY2/jZ2ERFpuyorK8nPzw+o3HFDiouL6dy5M/v27aNLly7k5uZWK3tcl4iICAqCuDXR7XbjbqIdU+npbu66y8GSJQZFRQ2Pf+QRPzk5VU3y3NKxBJ0sL/rpv8jYegraxvzUqaa4uDjg9WJiYjCM2uv1NbTe1q1bmTZtWrXHBg4cyNy5cxk3bly9z19aWkpWVlaDcR4tmNtNRETaqv794aOP4Jxz6u4gbhjwl7/UvQO9qAiuugrmzYM33qBRjcxEpH7R0fDkk7BwoVnqKNC+5kOHQteuIQ1NRAKwf38V/fv7WLvWyQsvGLz+unH4QnVUFFx3nZ9rr/WTm1tJZqbqr4iIdGR2u51hw4Yd8zo2m43Ro0fz/fffExMTczjvVp+uXbtis9mCev4ffvih8UH+jNcLaWkVfPhhOOeeayE/v+6xDz7oY9QoDz/+qN3hErygk+WHaiTVdyXL4XAABHR7SFOsFxERwfDhw/H7/WRnZ5OZmcnOnTv573//y0knnURcXFyda0dFRZGUlNRgnEfbu3dvUONFRNoihwPOOAM2b4ZXXoFnn+XwB5KwMLj4Yrj8crNBYGkpOOsoP5eVBRkZZi3zqKjmi1+kI0lNhWuugQkT4MsvG65F7nSayXXVYRRpHdLTPVitHq65xs4dd9ipqjIbZTscUFRUxbZtnqDuGhEREamPx+M5XOEhOzs7oDlnnXUWhYWFoQ2sAQUFPvz+ClatCuODDyzMmWOQnm4es9vh4ov93HqrH6/XzY8/ale5NE7QyXLnT9mQ+m6jqKoy/4MMCwtrlvV69uzJG2+8cfjnjIwMHn/8cT788EN2797NkiVL6iwZc+2113Lttdc2GOfRunfvTlpaWlBzRETaIpsNeveGBx6AyZPNxHdKCmRmmknyCy4wd52PGFH/OnPnmjvURSR0UlPNC1Kffmq+3g6dOPxcTAx8+KFZukVEWg+vFw4edHPwoBp8iIhI6OXm5nLttdfyzDPPNLjZ9aSTTqJbt24cCLQjdQgVFvooLCznxBOtvPOOA7/fwO83k+UlJW4OHHATREl1kRqCTpYfKr9SVE+BoEPlUgK5jePQesXFxfj9/lpLsQSzHpj11OfMmcPevXvZtm0b7733Hr/85S8Dmisi0l4dSwf1hIQE3nhjKM88Y2XpUjj//ODmb9oEpaVFLF/+daOe3+l0Mnr06EbNFelIOnUyv9auhfXr4ZFHzHJJYJ5AvP46jBoFyclms0ARaTlxcRbi4mxYLBb8fj+VlV4yMz111i0XERFpSpWVleTl5XHHHXfwr3/9i4MHD9YYY7PZGDt2LKecckqrSJQfLSfHS05OHfVCRY5B0Mnynj17AububY/HU+uO7UMvoENjA1mvqqqK7OzsWkuiBLPeIRaLhTPPPJNt27axZcsWJctFpMNzuVxkZ5dRUhL8WXh5uZNOnbyAtdaTeI8nAqfT/F4bnw9cLh+7dpUG/dzR0YZKRYgEqXt382vECJg50yzLkpAAl13W0pGJSOfOVpKTnXz/vcH//Z+F7GwID4fJk31cfrmT8nI3+/ZVKWkuIiIhV15ejtfr5dKfur5//fXX5OfnY7PZ6N+/P3369KGkpIT9+/e3cKQizSfoZPmgQYOw2+24XC62bNnC0KFDqx13u91s3LgRgBNPPLHB9ZKTk0lMTCQnJ4fvvvuOKVOm1Bjz/fffB7ze0bxeb7XvIiIdXUmJn7Q0LzZbHQXG65CfX8r48V4eesisoRoRAeXlR47v3Xsdqan/5sCBS2qdf9xxUFhYSVZWcG87Ho+LlBSrkuUijdS585Ed5BZLy8YiIpCSYic728FFF1koK6t+bONGC7Nnw9VXO/jtb61s2lShOuUiIhJyLpeL9PR0LBYLJ5544lF3PFWqZ590SEEny6Oiohg5ciSrVq1i0aJFNZLlH374IaWlpcTFxXHaaac1uJ5hGEycOJE33niDxYsX10iWf//99+zevRu73c748eMDjtPj8fDpp58CMGDAgIDniYi0dzabk759xwY9LyzMxpAhsHgxXHopvPzykWO5uWPJza17zTvv9FFVFRP08+7c+SmggnMiItL2JSZaycpycMkl9V+5+uc/DQoKrPzpT2Fs21Z/DVkREZGm4vP5yMvLa+kwRFpco/YY3XTTTRiGwdtvv8277757+PFt27bx+OOPAzBz5kwcDsfhYwsXLmT8+PHcddddNdabMWMGdrudL774gvnz5+P/6Z7DtLQ07r//fgCmT59OYmJitXn33nsvGzZsODz+kJ07d3LLLbewe/duEhMTmTx5cmN+TREROUpmpotnn/UdTpbX0mKiVhERMHq0n7w8bY8TEZGOq2tXJ9dcE9jp19KlBrt2WYmODvDNVkRERESaRNA7ywFOPvlk7rjjDp5++mnuvvtunn76aSIiIti5cyc+n4+xY8dy3XXXVZtTUlJCWloaKSkpNdZLTU3l0Ucf5b777mP27Nm88sordO7cmZ07d+J2uxk8eDD33HNPjXlLlixhyZIlREZGkpqaitVqJTs7m9zcXPx+P507d+b5558nKiqqMb+miIgcpaTET2SkizffdPLmmxaefBJ+85v659hssHixj/T0xjUWFRERaQ/i4y2sWWNQEUQfsscft/DCC05KSrS7XEREOraEBAuRkVbAwO/3kZnpoarKPBYfbyEx0YlhGPh8ZlP7sjIPGRluXC41AJHgNSpZDnDzzTczYMAAFi5cyObNm8nNzaVfv35ceOGF/PrXv8Z6qEBmgKZNm0aPHj2YN28e69at48cff6R79+5MnTqV66+/HqezZn3dv/71r3z11Vds3LiRzMxMSktLiYqK4qSTTmLMmDFcdtllxMbGNvZXFBGRn8nM9JCQ4OfOO8PYtQsWLrTwwAOQllZzbP/+MHeuD4/HRXa2ekeIiEjHFRtrZ+7c4G7q/f57sNmCO6cSERFpT7p3t9Opk52VKy18+KFBZSWkpPiZMcNPXJyPyEiDTz4xmDXLwo8/mnMMA6ZMsXDXXXaio73s2lWpptkSlEYnywHGjRvHuHHjAho7a9YsZs2aVe+Y4cOHM3fu3ICff9q0aUybNi3g8SIicuxyc73k5paRlGRl4EAHK1ZYSEszWLwY8vMNkpL8TJ/uJzzcS0ZGFcXFKr8iIiIdm81mkJkZ/DyXbswSEZEOyDBg0KBwXnvNwrPPWg7vIv/pKK+9ZnDccRaeew7efpvDiXIAvx/ee8/gvfcMrrrK4De/CWfz5iBu7ZIO75iS5SIi0nFlZXnJyjI/dISFGVx8sRWbDdxuPxkZXtzuFg5QRESklfD5ICws+HmB9gcRERFpT/r1C+Nvf7Py+ut1vxHu3g3TpsGiRZCTAxs21BzzyisGUVFWLr/cwb59VTUHiNSiUQ0+RUREjlZZ6SctzcO+fR7S05UoFxEROZrL5WH8+ODuAY+NhfBw3TcuIiIdS3S0we7d9SfKD3G54Prr4f776x7zwgsGUVF2XYCWgClZLiIiIiIiEkIZGR5uuCG4xPcNN/jIz9cuOBER6Vi6dnXyl78Enq7MzAS3G1JTaz/u98Mbb0C3biquIYHRfykiIiIiIiIh5PUCeDjnHDsffGBgtcKkSXDccWCxwMGD8MEHR2qUx8bCVVfBxo2elgxbRETkmOXk5LBnz/f4/Z/w9dcLGxxvsxk4nTBiRODPMX8+9O8PKSm1H//yS9iyBbzewC5cezwunE47EyeOY9KkSYEHIu2CkuUiIiIiIiIhtmePiyeesHLeeRb69TP44APYvNmsZ96nDyxdCuvWwdy58OqrPg4cqMCvKiwiItLGHTx4kMrKUgBcrtKA5jidwT+P213/vOLi4NZzueCrr77i9ttvDz4YadOULBcREREREQkxm80slrpsGdx6KzUS4S+8AGecAR995Cc9vZKCAl8LRCkiItK0unfvzr59+/H7Aysabrc7yckJrsC43Q7h4XUnxG026NTJizuI5lpOp50RwWxvl3ZDyXIREREREZEQslhgwIBwLr3UwsaNdScAvvwSxo83+PDDMHJyytQwW0RE2ryuXbvSr18/TjjhhIDGJyefzrBhkXiCqER2zTXg8ZgXpGvzt79VMXbsBgoLCwJfFHA2Zou7tHlKlouIiIiIiIRQt242Xnyx/kT5IWlp8PvfG/zhDw727FGDTxERadt69epFcnJywLW/y8rgV78ym3IG6pJL4IILaj9ms8GvfuWgV69TAl9QOrTA28uKiIiIiIhI0OLjHbz8cuC3lH/wgUFkpB0juLvQRURE2rzISPjDH8wkdyDGjYNNm6CysvbjTz4JiYlNF5+0f0qWi4hIUCIiDHr2dNC7t5NevZwkJ9uw6N1ERESkVhERBtu3G5SVBT7H74f33oOEBGvoAhMREWmleveGxYvB2sDb4JAhcO+98Oc/1378iSfgiivMBLxIoJTeEBGRgMTFWRg0KAKrNYJHH3Vw/fUObrvNwX/+E0a/fpH06eNs8MOMiIhIRxMebrB7d/DzduwwCAvT1nIREel4wsNh0iT49ls4+2xq3GnVuTM88gi8+y7ExcHo0XCovHhiItx/P+zcCddfb44VCYZqlouISIMSE604HGFMnmwhK6v6sXXrDP7+d4PzzrPz+ONWNm8uV0MyERGRn/h8YLcHPy8szJwrIiLSEYWHw7Bh8OabkJcHu3ZBRQV07QopKdCtm7nzvEcPeP11KC0178yyWMyEeWPee0VAyXIREWlAbKwFpzOMSZMsVNXTZ+yddwxyciz8v/8XzoYNFc0XoIiISCtWWupj2LDg540a5aekRNlyERHp2OLizK8+feoeExtrfok0BZVhERGReiUnO7niivoT5Yd89ZXBhx9aSUxUPRYREREAtxtiY3307Bn4nKgoGDLET3GxkuUiIiIizUnJchERqVNYmLlb/ODBwOfMmWOQkOAIXVAiIiJtTG6uiz//OfDE9113+cjPD+AqtUgr5/F4KC4upqioiLJgutyKiIi0EJVhERGROnXpYmPOnOCai6WnQ2WlBcMwa8aJiIh0dLm5PgYN8vDb39p44on69ytdfLGfiy7ysnmzp5miE2l65eXllJaWsnr1ajZu3EhVVRXR0dGMGTOGvn37Eh0djV0FhUVEpBVSslxEROpksRikpweXLAfIyTEbqgRSukVERKQj2LnTxfTp8Itf2Pjzny1s2nTkWN++8Nvfwimn+HE6weu10KOHnfR0Nx7lzKWNKS4uZunSpaxevbra43l5eezduxe73c7VV1/NwIEDCQ8Pb6EoRUREaqdkuYiI1Mnvh7Cw4OeFhZmdykVEROSIXbtcxMa6WbDAgc9nJTMTevUy2LkTHnvM4MYbzQvUdruViy+2cOutDsDNnj26+ixtQ0lJCW+++SY//PBDnWPcbjfz589n5syZDBkyRDvMRUSkVVHNchERqVNFhZdJk4JrLmaxQNeu4PWGKCgREZE2rKjIx44dlaSnl9OnD1x8scH06Qbff39kjNsN//qXwemnW/j3v+0MGNCIK9ciLWD//v31JsqPtnDhQoqLi0MbkIiISJCULBcRkTplZ3s57zywWiEuDu64A5YuPfL1yCOQmlp9znnn+SkpcbdIvCIiIm1F377hTJtmYfv2+sc984yFt96ykpqq5tnSupWWlvLee+8FPN7j8bB169YQRiQiIhI8lWEREZF6FRe7WbzYgd9vsHAhXHDBkV3jo0bBY4+BzwezZkF5OTzwgJ99+3S7uIiISF0SEqx89JGFH38MbPzf/mbhssvsGEaVmmdLq1VeXs7evXuDmrNy5UqGDh1KTExMaIISEREJkpLlIiJSJ8OA6GgrL74Ir75a8/gXX5hfp54KixeDy+WjqMilxp4iIiL1SEx0MGdO4A20/X7zfXbsWCuZmapzJq2T2133nYXFxcXk5uaSkJBQLTFeUlKCzxdcyT8REZFQUhkWERGpU+/eTp580sqrr9Z/Qv/NN3D//X569/aTne1ppuhERETaJrfbwsGDwc156y0LERFqhCitl2HU/XkxOzubyspKsrOzqz2u5p4iItLaKFkuIiK1slrBarXxyiuB7Xz75huDjRsNoqMD3yknIiLSEdWzAbdOxcXme7NIaxUeHk5kZGStxw7tHv/5LvL+/fsTHh4e8thEREQCpWS5iIjUqls3Gy++GFzi+69/tdC1qzNEEYmIiLQPjdlMGxt7pGeISGsUExPD2LFjg5ozYcIEnE59dhQRkdZDyXIREalVVJSd//wnuGT5unUQEWEjKUlb30REROpit/vo2TO4OZde6qOsrBFb0kWaidVqZeTIkXXuLv+5QYMGERsbG+KoREREgqNkuYiI1MpmMyguDn7evn0GX34ZxtCh4Y3aOSciItLe5eRU8Zvf+AMeb7HABRdAVpa2lkvr1qlTJ+644w4iIiLqHdenTx+uvPJKoqKimikyERGRwNhaOgAREWmdPB4/MTFQUBDcPJ8P/vQnCx9+aDB/fgQbNpTzs/KUItJCDhyAHTtg1y6zDMSQIdC9O3Tt2tKRiXQsublexo/30b+/le3bGx7/wAM+CgurQh+YyDEyDIPk5GTuu+8+Pv/8c1atWkVlZeXh4xaLhauuuoqBAwdqV7mIiLRKSpaLiEitSkvdXHSRlfnzAy/FMnw47Nxp/nvNGoNHHrEwa5aDvXt1gi/S0oqLzeR4UVH1x48/Hh5/HMaNg/j4lolNpCPasaOCxYvDufRSC5s21f1e+7vf+fjlL71s364SLNI2WCwWOnfuzNSpUxkzZgzl5eXcdtttFBQUEB0dzYgRI1o6RBERkTqpDIuISAvweDwUFBSwYcMG3nvvPd59911++OEH8vPz8Xg8LR0eABkZHm64IfBbxAFuugleeOHIz//+t0FUlB0juNLnItKEDt3ZUVJSM1EO8OOPMH06PPVU8HeSiEjjVVb62batgtde8/Lf//r4xS+OHHM64brr/Kxd6+OXv3SzfXtl3QuJtFI2m41OnTqRkpKC1Wr2szH0oVBERFo57SwXEWlmxcXFfPbZZ6xcubLabakATqeTMWPGMH78eGJiYlooQpPXC16vhxkz7Lz0UsMnNqedBpGRR3aWA/j9sHgxjB5tVZ1VkRZQXFx7grw2//d/8ItfwHnnhTYmETnC5fKzeXMFkZEGzzzjICzMit8PhgFFRVXs2ePBq7dPERE5Blarlfj4eCIjI6msrMTn8+FwOPD5fBQUFFBRUdHSIYq0KkqWi4g0o+LiYv75z3+ydevWWo+7XC6WLVvGnj17mDFjRosnzPfscfH739spK4M336x73IgR8Oc/w69+VfPY6tUWzjrLCuhsX6S55eZCebm5SzUQ991nJsy7dAltXCJSXVmZn127XC0dhoiItDNxcXFER0fz8ccfs27dOnxHNZNKSUlh0qRJdO/enbS0NPz+4O4qFmmvVIZFRKSZeDweVq1aVWei/Gg7d+7k448/xu1u+fqk6el+Ro2CNWvg4ovBdtRl1rFj4fXX4cYbzTIOxcU157eCX0Gkw1q8OLjxmzdDVlZoYhERERGR5hMXF4fb7Wb27Nl899131RLlAGlpaSxcuJBly5bRo0ePFopSpPXRznIRkWZSUlLCJ598EvD4VatWMXbsWOJbsOOe328mx61W+O1vYc4cuOIKDtcg/+478/H09LrX6NPHX+ODmYiEnssFn38e/LwffzQbgYpITR6Pi507P23SNbOzt7N//7f06HEqXbr0a7J1PR4XYG2y9UREpO2w2WxERkby5JNPNngu9sMPPxAXF8fQoUPJzc1tpghFWi8ly0VEmsnBgwdr1CivT1VVFXv37m3RZDlAbKyf7t3hyy9h61Z48EHYty/w+TNn+jlwoHU0LRXpSHw+GlXruJX0GBZpdaKjDVJSrEDTvki+++5LSkoKOHDgC4YMOa4JV7YSHa1miiIiHVF8fDzvv/9+wJuWVq1axemnn65kuQhKlouINJsDBw7Ue7y4uJjc3FwSEhIO1yrfv38/w4cPb47w6mQYXv77XwtgMHcu3Hwz3HtvYHOHDAGbzavkm0gLCAuDwYOD313es2do4hFpy5xOJ126hKaev9/vOfy9T5+oJl/fGWjTAhERaTfCw8PZsmVLwON9Ph9btmyha9euFNdWW1OkA1GyXESkmTTUMCU7O5uqqiqys7MPJ8tbQ5OV4mIfBw6YO9PWrIFbb4WzzoJly+qf16kTvPqqjz171LBMpCUYBlx3XXDJ8pQU6N49dDGJtFWjR48O2dovvvgiJSUlOJ1OJk2aFLLnERGRjsFqtVJYWBj0ueS2bdvoqV0TImrwKSLSXFJTU+s9fugWuaNvlWsNjVZ8PnA4jvw8cyZcf735ZbfXPuekk2DlSj/Z2ZWUl7d8wl+ko0pMrP76bcj990O3bqGLR0RERERCy2Kx4Ha7g57ndrsxDJXvEtHOchGRZpKamkpYWFjAdcsdDge9e/cOcVQNKyvzMnGin3ffNT84VVbCpZeaSfP33oO1a81Gn1VV5o7UX/4Stm0Dq9VPbm4jCiaLSJPp3Bni46GgoOGxU6fC9OlHGviKiIiISNvj8Xga1fcqNjY24BrnIu2ZkuUiIs0kOjqaMWPG8NFHHwU0ftSoUURHR4c4qobl5voYP96H3W7l0AYFrxdefNH8GjkSBgwApxOyssxk28kn+zn9dA+toIqMSJuwatUqXK7QlCzyeqsA8zVam7AwuPVWH9dfX8TGjd836iTJ6XSGtEyFiIiIiATG7/fjdDqJjo6mpKQk4HmjR4+mIJAdFiLtnJLlIiLNxGazMW7cOPbs2cOOHTvqHdunTx/OOuss7HXVOWlmhYVubrnFwjPP1NxyumaN+XWIYcAjj/jJzKxqxghF2jaXy0V2dhklJaG4wmR+3IuPj+Djj+Gjj2DfPrOM0kknwQknwNatUFVlIyPDTWlpRVCrR0cbIWl6KCIiIiKN43a7GTt2LO+8805A4+Pj43E6nTgcjkaVcBFpT5QsFxFpRjExMVx33XWsWLGizp2kTqeTmTNnHm7y2RocPOjmuuts7N9vZcmSums0GAa89JIPw3CpVrlIkEpK/KSlebHZ6tgC3khTp17Dm2++z+efX8o778Do0dC1K7jd8Npr8MMPABZ6947mP/8ZxUcffUFlZWAnSR6Pi5QUq5LlIiIiIq2IzWajR48epKamcuDAgQbHXnLJJbz33ntMnjyZsrKyZopSpHVSslxEpJnFxMRw3nnnMWbMGPbv38++ffsASEtLo6ioiPDwcGJjY1s4yur8ftiypYI//jGM88+38vjjFrZvP3LcMGDyZD8PPODH43GRluZpuWBF2jCbzUnfvmObbL3ERCsbNoSzcuX5hx/75JPax+7ZA/feG8mf/jSOPXsCuzNk585PAb3eRUREREJp69atrFixgqqqKpYtW9bgeKvVSmlpKZGRkbhcrjp3i1ssFiIiIrjnnntwu90sX74cr7fp+k653W4cDgcTJkxg0qRJTbauSCgpWS4i0gJsNhvx8fHEx8czbNgwAF599dWWDaoBPh9s3VpJly4W/vUvB36/lbw8s5RDQgKUlrrJyHDjcmlHuUhrkZDg4MknA+/Y+dFHBo8/bscwqtRzQERERKSVWLNmDUVFRQBUVAReMq+wsLDBMVVVRzZJhKJmeUVFBV999RW33357k68tEgpKlouISFAKC30UFlYCYLOZSfTMzBYOSkRqsNmgoMBCRkZw8xYvhnHjrGRmNt2uIhERERFpvJEjRx7eWR5IX6tDO8v9P+1+MAwDu92OxWLBMAx8Ph9ut7taY3eLxUJkZGRIdpaPGDGiydYUCTUly0VEpNE8qr4g0mqFhxvs2RP8vM2bLZx9duC70UVEREQktAYOHEhsbCwlJSWH70yuT6dOndi2bRsrVqwI+DkuvPBCEhMTKSkpOYZIq/vhhx+Ijo4mOTm5ydYUCTVLSwcgIiIiIk3P7zf7CQTLMBo3T0RERERah8LCQk477TQslsDSfna7nQEDBjRpolykrVKyXERERKQdqqjw069f8PNOO81HRYUKlouIiIi0VX6/n6KiIq666iqMBnZBWCwWrr/+evLy8popOpHWTclyERERkXbI64XwcB99+gQ+x2qFKVMgO1v1ykVERETassLCQqKiorjpppvo3LlzrWO6du3KrFmz8Pv92lUu8hPVLBcRkaBERBh06+bA4bBRVmaWa4iKgrIyN+npVRzVTF1EWlhOjos//tHCNdcEtj/i0kv9FBe7QxyViIiIiDSH/Px8IiMjmTFjBi6Xiw0bNlBeXk5UVBQnnngiVquV/Px8KioqWjpUkVZDyXIREQlYnz5O8vJs3H23wZdfHrmdz2KB885z8Pvf23G5XKSnq/OnSGuQn+9j8GAvt9xi8Pzz9d+Ce8opfu67z8emTbriJSIiItJelJWVUVZWhs1mY9CgQVitVjweDzk5OXi9uptQ5OdUhkVERALSv38Y//qXjXPPtVRLlAP4fPC//xmccYaFH3900r27vYWiFJGf27mzkmuv9TBvno/U1JrHo6Ph7rv9LFzoY8uWcnTOJCIiItL+eDweCgoKyM3NpbCwUIlykTpoZ7mIiDSoa1cbK1fa+Pvf69+Z6vfDDTdY+PBDB9HRHkpK1CRQpKX5/bBjRyU9e1r5738dFBRY2LAB3G44/ng4/ng/+flVbNjgwa+XrIiISK2cToOwMAOfz095uV8Xl0VE2ikly0VEpEEJCQ4efbTuRPno0TB2rLlDtaQE3njDws03OykpqWy+IEWkXrm5XnJzK3A4YMAAC4YBlZV+Nm1ShlxERKQ2hmFuGunc2cGBAwb79oHdDoMGgdPpJTu7isJCX0uHKSIiTUjJchERqVd0tMHWrQZFRTWPXX01/PrXsHo1vPsuFBVBXBycfz7ExtpISbGRlqb65SKtSVUVVFXpxF5ERKQ+ZlI8gtdeM5g710JhYfXjAwZYeOQRK717u9mzR/0+RETaCyXLRUSkXnFxVhYvrrmr/MknIT8fpkwxyzkc7euv4c9/NnjssTBGj3bz44+uZopWREREROTYWK0weHAEV19t4dtva7+7cts2+NWvLDz0kJ2zzkIJcxGRdkINPkVEpF4WC5SXVz9JuPtuSEuD//u/monyQ9xu+N3vDD76yEZqqqMZIhUREREROXapqQ7+/Oe6E+VHe+ghC7m5dqKjGx4rIiKtn5LlIiJSL7fbT8+eR2oaR0TAxInw1FOBzX/wQQsREXYsescREREBoLgYsrMhL6+lIxGRnzMMiIy08/bbgSe///QnC127OkMYlYiINBeVYRERkXplZXm5+GI/TzxhnjBceim8/npwa7z8ssHFF6t+uUgoOJ0G3brZiYiwYrUauN1+iovdZGR48Kt3p0ir4fFARgasWwdPPw1ZWRAeDvHx5nG9XkVah6QkK//5T3CvyXXrwDCsGIZeyyIibZ2S5SIiUi+vF/x+LyefbOG77+C888yEeTAWLjS44QaHkuUiTchmg+OPD6OgwMpf/mLw8ccGLhd07gzXXGPhiiucFBdXcfBgHbWSRNqxsrIyPB4PhmEQHh6O3W5v4XjMZtgXX0yNJoEjRoDTaTbJzsqCpKQWCVGkzdq6dSsff7wSl8vN118vPOb1rFaD4mLztRmMP/0JIPBMucfjwum0M3HiOCZNmhTck4mISMgoWS4i0kEcy4mEYUBKioHDAfPnw0knBf/8Dz4IHk9wW210EiFSO7vdbDx2440Wvvii+m3iubnwxBMWnngCHn7YwdlnW9RkVzoEr9dLcXExe/bs4ZNPPqGoqAi73U7//v0ZPXo0MTExREZGNntcVVXw5ZcweXL9O07LyuDmm2HuXOjSpfniE2nr1qxZQ3FxAQAuV2mTresMsqpKWVnwz+FywVdffcXtt98e/GQREQkJJctFRDqIpjiRcDigtDT4kwcwd8w1hk4iRGrq3z+cq69uuPHYgw9asNlsjBzpIz1dO8yl/XK5XOzatYv58+dTWVlZ7VhmZiafffYZQ4cO5bLLLiM2NrZZY8vMhIsuCqw0w5IlcNVVMG1ayMMSaTdGjhx5eEOIzXbsdcOtVrO5fbDJ78RE8HqD31k+Itgt7CIiElJKlouIdBBNcSJhGGCzGeTlmbVXA2W3Q6dOjd9ZrpMIkSPi4ix8913DifJD/vhHC+vWOZQsl3bL6/Wye/dunnvuOfz1ZKQ3bNhAeXk5M2fOJCYmptni++or80JzoB56CM44w0y8iUjDBg4ciMORSlaWjb59xx7zelYr9O4dyS9+EXh3+p494bnnPGzbVhHwnJ07PyUpyUOfPlGNCVNEREJEyXIRkQ6iqU4kYmMtFBaG8+tfB34C8dZbPsLCyikpCS5ZrpMIkZqSkhz85jeBv/68Xli6FEaMsJKV5Q1hZCIto7i4mPnz59ebKD/kxx9/ZPPmzYwcObIZIoP8fHjqqeDmrF9vzlOyXKRleL0AXk491cI33wQ25557/OTkqOSZiEh7EPiZloiICFBU5GPoUD+9ewc2vm9f6N/fH3SiXERq5/NZ2L49uDmvvmohKqplGxyKhMr+/fupqAh8N+eHH35IUWNrgwXJ5YKMjODnBfHriEgIHDzoYv58X0ANd88/388ZZ3jJy/OFPjAREQk5JctFRFoZv99PTk4OBw4c4ODBg+Tl5eFyta6dKrt2VfDf//pITa1/XK9esHixj127dNYv0lQ8nsDKrxwtPx+s1uDnibR2FRUVrFy5Mqg5OTk5lJeXhyii6iwWCAtr3DwRaTmVlX72769g+XIfY8bUvuEjLAzuvtvPI4942bpVn3VFRNoLlWEREWklDt0+XlZWxp/+9KfDj1ssFoYPH87kyZNJSEjA4XC0VIiHlZf72bOnnA8+COettwyee85CXt6R44mJMGuWjwsv9LNzZwUVFdpVLtJUrNbg50RFBdd0TKStcLvdFBcXBz2vuS5Cx8bC+PGwY0fgcyIjIS4uZCGJSICKi33s2FHO4487cDptLFoEO3ZYcDj8jBnjZ+RIPwUFVWze7Amoga+IiLQNSpaLiLQCpaWlVFZWAuD5WedMn8/Ht99+y3fffceMGTMYPHgwTmfjGnQ2pbIyPxs2lDN6tJULL3RSUWFQVQUOB4SF+cnLc7F+veojizQ1u91HcrKF9PTA50yb5qeiIoiuvCJthMViwW4PvsSQtTFXnRohLAxuuw3mzg18zsyZBFT6QURCz+Xys3u3C4vFxcSJVs45x7xLq6TEx8aNKrsiItIe6QY/EZEW5vF4+Prrrxvc5eb3+3nppZdIDyZDFmJ+P2Rledm8uZzdu8tISytj9+4ytmwpVyNBkRDJza3izjuD28J25ZV+MjOVLJf2Jzw8nMGDBwc1x263ExkZGaKIauraFaZODWxsZCTMmgWt4Jq4iBzF54OMDC/793vYv99DQYES5SIi7ZWS5SIiLay4uJh33303oLF+v5/FixdTWloa4qgaR7egioReTo6XKVN89OwZ2PiZM/1UVLjx6bxe2iGr1cqIESMwjMBr8o8YMYLo6OgQRlVd584wbx6cfnr94wwDPv6YgF/bIiIiItL0lCwXEWlh+/btO1yCJRC7d+9utclyEWkeO3dWsHSpj1696h93+eV+Zs3ysm9fVbPEJdISoqKiGDFiREBjnU4nEydObFTplmPRrRssXgz/7/9R43V7KM+flASnnAI2FcoUERERaTFKlouItCCfz8e6deuCnpeWlhaCaESkrSgv97N7dzlLl3qZN89H375HjhkGTJ7sZ/lyH3fe6WHz5grd9SHtWkREBL/85S8ZMmRIveOcTie333478fHxzRRZdV27mvXIV6+GTZtgzRr47rsj9cmtViXKRURERFqaPo6JiLQgn8+H2+0Oel5VlXaJinR05eV+Nm4sJzXVwhtvOAEDn89sslte7iEjw012trLk0jHExMRwxRVXsGvXLt5///1qF5UdDgenn34648aNIz4+vtmae9alWzfz65AWDkdEREREjqJkuYhIC7LZbI3a4RYbGxuCaESkLcrP95GfX9HSYYi0uJiYGE466SSOP/54ysvLqaqqwjAMIiIiiImJwaZt2yIiIiLSAH1iFBFpYSNHjmTlypUBj3c4HHTt2jWEEYmIiLRd0dHRzdrAU0RERETaD9UsFxFpYTExMSQnJwc8/vTTT1cSQERERERERESkiSlZLiLSwmJiYrj22msxDKPBsQkJCUyaNAm73d4MkYmIiIiIiIiIdBxKlouItAJdu3YlKiqq3jE9evTgjjvuoFOnTs0UlYiIiIiIiIhIx3FMNcs/++wzFixYwJYtW6iqqqJ3795ceOGFXHHFFVgswefh161bx7x581i3bh3l5eV0796dc889l5kzZ+J0OmuM37NnD8uWLWPt2rVs376dwsJCIiMj6d+/P9OmTeOCCy5oVBwiIs3NarVitVoBiIqKYsCAAeTl5WEYBj179mTChAl06tSpTZVfsVjA52vpKEREREREREREAtPoZPm8efN48sknAUhNTSUiIoJt27bx6KOPsnr1ap577rmgEtVLly7l3nvvxev1kpSURLdu3di5cyfPPvssK1eu5NVXXyU8PPzweK/Xy+TJkw//3LVrVwYMGEBGRgZff/01X3/9Ne+//z7PP/98rYl2EZHWymazcf3111NVVYVhGISFheFwOFo6rAbZ7ZCc7CAmxk5hIbjdEBMDhuElK6uKwkJlzkVERERERESk9WrUtut169bx1FNPYbFYePLJJ/n4449ZunQpS5YsISEhgU8++YQFCxYEvN7Bgwd54IEH8Hq9/O53v+Ozzz5jyZIlfPTRR/Tu3ZuNGzcye/bsanP8fj8xMTHcfPPNfPzxx3z22WcsXryY1atXM2fOHMLCwvjiiy94+umnG/Mrioi0qPDwcGJjY4mJiWkTifKkJBu9e0fyzDMOhg+3MHq0hQkTLJx6qoVf/9pOdnY4gwaFo5t9RERERERERKS1alTa4oUXXsDv9/OrX/2KqVOnHn58wIAB3HvvvYC589ztdge03ksvvURVVRWjRo1i5syZh5vcpaSk8NhjjwHw1ltvkZube3iO1Wrl448/5s477yQ1NbXaelOmTOHWW28FYPHixfhUB0BEJGSSkmwUFzsZOdLC228beDzVj2/bBtdea+EPf7BywgnhBNDHVEREpN3zeCA9Hbxe82edsoiIiIi0vKCT5aWlpaxevRqA6dOn1zg+efJkoqKiKCwsZO3atQ2u5/f7Wb58OQAXXXRRjePDhw/nuOOOw+12s2LFisOPG4ZBbGxsneuOGjUKgKKiIvLz8xuMQ0REgudwQEyMk4svttRIkv/ce+8ZPPOMlR49Wv9OeRERkVApK4Ndu+DRR2HYMMjMNB/Py4Nly8wEuoiIiIi0jKCT5Vu2bMHtduN0Ohk0aFCN43a7nSFDhgCwfv36BtdLT08nJycHgJNPPrnWMcOHDw94vUNcLtfhf4eFhQU8T0REApec7OD//q/mbvK6vPyyQUyMPbRBiYiItFKFhfDvf0PfvvDnP8NPp0EAVFXB2WfDuHGwZ0+LhSgiP2O3Q48edgYPjqBv3wj69Ytg0KAIuna16o5JEZF2KOhk+b59+wDo1q0bNlvt/UEPlUU5NDaQ9RwOB126dDnm9Q754IMPAOjXrx9RUVEBzxMRkcBFR9t5553AzxJ8Pvjf/yApyRrCqERERFoflwvefx9mzAC/v+5xO3bA+PFw8GDzxSYitevZ00FKSiT/+IeTU06xctppVk491cr48VZWrAjjhBMi6dxZn2tFRNqT2rPd9SgqKgKotwRKTEwMAMXFxQGvFxMTc7hW+bGsB7Bjxw5ef/11AGbMmFHv2AULFgTVjBQ4vBNeRKQjs1ohKyv4Gqsff2xh3Dgr4A1JXCIiIq1RdjbccENgY/fuhZdfhvvvhzr2J4lIiB13nJPly208+GDNPYYFBfDYYxaeeQb+978wEhIqyc3VZ1sRkfYg6I9eh8qb2O1130bvcJj1aCsrK5t9veLiYmbNmoXb7WbMmDFMmzat3vGlpaVkZWU1uO7R1DBURAScTvB4gr/3NIA/5SJyjOx26NrVjsNhxWIBr9dPTk4VJSX1bGcVkZD68kuzXnmgnnkGrrsOuncPXUwiUrukJCvr1tl58MH6P+uWlcHUqRa++CKM4uIyqqqaKUAREQmZoJPlTqcTALfbXeeYqp/eIQKpFd6U61VVVXHrrbeyd+9e+vbty+zZsxt8/qioKJKSkhocd7S9e/cGNV5EpD1KSLBTz5/uOnXv7sdf3/3nItJoDgf07h1GebmV554zWLvW7CnQowfcfruNE07wk5ZWSUGBLvyLNKfiYnjxxeDm5OdDbq6S5SItITHRyUUXBbYppLISHnnE4He/c7Bvn7LlIiJtXdDJ8kPlVw6VT6nNoXIph8qnBLJecXExfr+/1lIsgazn8Xi48847+frrr0lJSeGll16qt1TMIddeey3XXnttg+OO1r17d9LS0oKaIyLS3sTG2qmsNEhJgWD+JN50k5/s7AA7gopIwMLCDPr3D+faay188031z1MHD8Lq1RY6dYJFi8JJTKwkJ0e3i4s0l6oqs7lnsAKsQikix8jpNOjWzU5kpA2bDbZutVBPyqOGd94xePhhO6BkuYhIWxd0g8+ePXsCkJGRgcdTe7LjwIED1cYGsl5VVRXZ2dmNWs/v93PfffexYsUKEhMTWbhwYdC7xUVEJHBhYQZFRQY//AA33hj4vO7dISXFT2WldpaLNCXDgAEDwrngAmuNRPnRCgpg8mQLdnsYsbFBfwwUkUay2yEqKvh5ERFNH4uIHGGxQL9+YcTFRfB//+fgpJOszJ5t5Y03gis16POZzXnDwoIvUSgiIq1L0GdJgwYNwm6343K52LJlS43jbrebjRs3AnDiiSc2uF5ycjKJiYkAfPfdd7WO+f777+td7+GHH2bp0qXExcWxYMECevToEdDvIiIijeNwGERHG9x2G5xwAowYEcgcePVVqKjQrnKRpta1q42FCw127mx4rNsN115roVs3Z+gDExEAYmPhyiuDmxMVBdr/IxI6hgEnnBDOY4/ZmDjRwvvvG/j9EBkZXH+BQ0pKwGpt+jhFRKR5BZ0sj4qKYuTIkQAsWrSoxvEPP/yQ0tJS4uLiOO200xpczzAMJk6cCMDixYtrHP/+++/ZvXs3drud8ePH1zg+Z84cXn/9dSIjI5k/fz59+/YN9lcSEZEgRUcbfPqpeVv51VfDH/8I551X9/iuXWHRIoiL81NerlrJIk2tc2cH8+YF/rFu714oLLTgdGoHnEhzmTzZvHAcqOuvV7JcJJSOO87Jww9bWbKk+nthURHExwe/XmIiuN26e1JEpK1r1P23N910E4Zh8Pbbb/Puu+8efnzbtm08/vjjAMycORPHUZ8GFy5cyPjx47nrrrtqrDdjxgzsdjtffPEF8+fPP9z4LS0tjfvvvx+A6dOnH96BfsiCBQuYO3cuYWFhvPjiiwwZMqQxv46IiATJbrfy9tvmiUVJCVx0EZx8MixbBrfcAqecAkOGwDnnwGuvwZw5ZkK9rAzy8lQnWaQp2WyQlWUEVVsVYMECg6QkbYETaS4JCfDYY4GPvf324JLrIhI4mw28Xtvhz7NHW7ECfvnL4NYLD4eePf1UqWS5iEibF3SDT4CTTz6ZO+64g6effpq7776bp59+moiICHbu3InP52Ps2LFcd9111eaUlJSQlpZGSkpKjfVSU1N59NFHue+++5g9ezavvPIKnTt3ZufOnbjdbgYPHsw999xTbU5WVhZ//etfAYiMjOSpp56qM95nn322RqJdRESOhUFp6ZGfKivhoYfMmqznn28myZ1OyM6G3//+SANQlwvVKxdpYg6HQR1tX+qVmWlgGKpbLtJcIiLgmmvMRp+PPlr3uKQk+OQTCKD9k4g0Urdudp5/vva7qzIzweMxe+0cPBjYelde6aegQJlyEZH2oFHJcoCbb76ZAQMGsHDhQjZv3kxubi79+vXjwgsv5Ne//jXWIIt1TZs2jR49ejBv3jzWrVvHjz/+SPfu3Zk6dSrXX389Tmf1upput/vwDvS8vDzy8vLqXNvlcgX/C4qISJ38fj+dOtV83O2GxYvNr9pERPjxamO5SJPyehvXBDA8HEAXr0SaU+fO8JvfmHdkPfkk/PvfR45ZrTBvnlmuJTW15WIUaas8Hhc7d34a0NhevU7nv/8Nq/P4nDnw1FNw222fkpLyJgcOXEpu7thaxyYnw803l/Pee5/i8QRebtDjcQG6w0tEpLVpdLIcYNy4cYwbNy6gsbNmzWLWrFn1jhk+fDhz584NaL3u3buzffv2gMZKTVVVVZSUlLBr1y5ycnKw2+0cd9xxJCQkEBsbi2GohqmI1K2oyMM119j59NPAd6V27gzh4UrMiTQ1l8vP4MFmozJ/EC+xqVN9FBfr6pVIc+vUyfyaOxf+7//MciuFhdCli1mnXESCFx1tkJJiBQJrJB8RYa23ied335n9dkaOfJnCwv306vVyrcny446DRYvK2br1Szp3DnZnuZXoaJ13i4i0NseULJe2qaCggHfeeYdvvvkG78+2eMbFxXH++eczZMgQIiMjWyhCEWntCgt9DB/uJzKSek80jnbrrT7y8nSnj0golJW5OftsBx9+GNhJd3g4jBzpZ+NGNdwVaSmRkeaX7aczMouqIok0itPppEsX84JToGw2PzExUFxc95i33oIxY8oBiI8vp18/2LfPLDt40kl+7r3XRc+eFeTlbSQhwSAhIarR8YuISOuhZHkHk5+fz9NPP01ubm6txwsLC3nllVc466yzmDRpkhLmIlKnrCwX//hHGNde2/DZ/XHHwSWX+Fm/XrtYRUIhI8PNQw/ZWbHCwO1uePy99/rIy1NtVRERaftGjx4d9JyKCrj4Ypg/v/5xLpfZh6eyEv70Jzj9dDNZHh5uEB8fBoQBwT+/iIi0XkqWdyBlZWW88sordSbKj7Zs2TKOP/54TjjhhGaITKTtWLVqVcj6IBxa1+VysXz58iZff9OmTeTkWHA6j2uS9bKzvRx/vJu5c+3ccosFXx0bVAcMgLff9rF9e0VQJSJEJHAul5+SkkoWLw5j+nQLVfXkwW+80c/UqV62bQvsVnUREZH2Jjwc7ryz4WT5IVVVkJAAvXqFMioREWkNlCzvQEpKStixY0fA49955x169uxJdHR0CKMSaVtcLhf5+flUVlY2+dqWn+6/tlgspKenN/n6paWleL1Ne7fI/v1V9O3rY906J4sXw4svWsjKMnfcjBzp53e/g969wTD8xMdbycjw1JlUF5Fjk53tJTGxkq++CuP55w1ee83g6D9VY8b4uecePwkJHrZtU0kkERHp2Lp1M/sE/L//1/BYpxOGDg19TCIi0vKULO8gSkpK+Pzzz4Oac+DAAcrKypQsF/mZyspK8vPzsdvtx7ROUlISPXr0wOFw4PF4yM/P5/PPP6dfv36UlJQ0UbQmt9uNO5DaDI2QmekhK8vDeefZuewyJ1lZkJdnsGmTwc03w8GDEBVl5brrwrjxRh87dlRQXq4t5iKhkJPjJT+/jCuvtHHbbQ7Ky80a5uHhUFnpISOjih9/1OtPREQkPh4efdRsjt3QDvP4eIiNhf37Yd0683tkJJxyCnTtGly9dBERad2ULO8A8vPz+fbbbzl48CDFxcXk5uaSkJBATExMg3MLCwvp2rVrM0Qp0rbY7XaGDRvWqLlxcXHExcWxc+dOVqxYQWlpKQ6Hg8GDB/P000/jcrnIzs7G34Q1S3744YcmW6s28fFWCgocnHlm9Z2sh5SWwrPPGvzvf1befTeCHTvKqaxUwk4kFLxeOHjQw8GDKrMiIiJSny5d4PHH4bbb4Mkn4d//NkuuWCxwzjnm9+JiM6F+553wyivU+Kx7wgnw9NNw6qkQwCm2iIi0ckqWt3OFhYX84x//OFx7PDs7m6qqKrKzswNKlotI00pMTCQ3N5d58+bh8VRPZGVnZ7Ny5UpOPfVUJk2axL59+5o0YR4qhgHJyWGMGGGpNVF+tH374OKLLfzrX2Fs3VrRPAGKiIiIiNShc2fz64UX4C9/AY8HrFaIjoYZM8wxOTnw3//WPn/TJpg40SzncumlEBXVbKGLiEgIKFnezu3YsYPMzEySk5Pp0qULvp+KBfsCLBocGxsbyvBEOpS4uDhycnJ4/fXX6x33zTff4HK5OPvss0lLS2um6BqvWzcbr7wC5eWBjd+6FXJyLISFGdpdLiIiIiKtQmSk+XW0Q6fNXm/D82+4AU46CU4+ueljExGR5mNp6QAkdIqLi3n//fcB2LhxY9AlI5KTk4nSZXGRJhMXF8ebb74Z0NgNGzZQVFSE0+kMcVTHLi7Owbx5wb2dPPWUQdeux1bzXUREpD3xemHVKnjtNXj7bdi82dzNKiItJ5Ak+SF+Pzz0EBQVhSwcERFpBtpZ3o5VVFSQnZ0NmM39MjIysNlsNUo/1OW8885Tc0+RJhITE8PWrVsDvqsDYNmyZVx44YVkZmaGMLJj53bDhReaX4f4fOaJ/qJF4HLVnPPttwYOh7X5ghQREWmlDn00yMqCMWOqHzvpJHjiCbOJoCooijSvykqz704w3n8f8vLMZqAiItI2KVnejv08Kbds2TLCwsKobKioMDBmzBj69OkTqtBEOpzIyEi+/PLLoObs3bsXh8MRooiaRrduNhwOC34/XHzxkYZHERFw+eXw7rtm/cf//Kf6PLfbbJgkIiLSUVRVmQnxip9adkREmH0/cnPN98Ta2pSsWwcTJsBzz8Gvf62EuUhzKikJ/jOrzweFhSELSUREmoGS5e2Y1Vp912ZpaSnlPxUVttvtGIZRo3lgVFQUU6ZM4ZRTTlEJFpEmZLVaKSkpCXpeoHeCtITu3e3s2uVg4kSDn2+YLy+H+fNh4UIzWR4RYd5WfkiPHuB2q165tD0ej4eSkpLDr0273U5MTAwWXf0RkTpUVsKBAzBvHsyde2Sn6sMPw3ffmcm4hqqu3XorDBsGp58e8nBF5Cd+f+0XsRoSxI2kIiLSCilZ3o6Fh4eTkpJSrUHgod3mFouFWbNmsXfvXgoKCrDZbKSmptKlSxdSU1Ox21VLWKQp+f1+HA4HFYe2kwXIMIwQRXRsOnWyUFTk4Lrr6k8Qejxw443w1lvw7bewbZv5+O23+8jPr2qGSEWaRlVVFYWFhXz55Zd8/vnnh+/SiomJYcKECQwfPpy4uLgaF6pFpGMrK4MVK+Cii8z3xENsNhg5Eh58EEaMCGyte++F//4X4uNDEqqI/ExkpPlaDTZhrhIsIiJtm7ZBtWPR0dGce+65tR5zuVz8/e9/Z/369RQUFJCRkcE777xDVFSUEuUiIeByuejfv39Qc2JiYlpt4q1LFyd33hnYW4jPZ+6eu+UW8+eICBgxwk9BgbbdSNtQWVnJpk2bePjhh1m+fHm1cmbFxcUsWbKERx99lL1797bqu0FEpPmtWwcXXFA9UQ4webJZqiwYn39u1kIWkeYRGQnBtvAaOVIXtERE2joly9u53r1707t371qP+f1+9u3bx6ZNm9i2bZtKr4iEUEFBAaNHjw5qzpgxYygqKgpRRI3ncEBJiYXduwOfs2ED9Olj1lp96y0f6em1dP0UaYX8fj979uzhpZdeqrdBr8vl4plnniErK6sZoxOR1iw7G26+ufaSDP36wQ8/BL/mUTeMikgzsAV5L/7DD0PnzqGJRUREmoeS5e1cbGws119/fYPNOidMmMDEiROJiIhopshEOhav1wvAoEGDAhofHR3N0KFDW2WyvHNnK+np8M9/wpIl8OqrcP315u6b+qxdCx995CMszEVenrd5ghU5RsXFxfzrX/+q0eOjNh6Ph0WLFlFWVtYMkYlIa5eRAZs21X7Maq252zwQbvexxSQiwTnUkiSQyoi/+Q0MHx7aeETEfC9UbwAJJdUs7wDi4uK4/vrrycnJ4bbbbjt8i7jD4eAXv/gFY8eOJTY2VolykRDLzMzkggsuoLKykt31bMuOiori5ptvJjMzsxmjC0yvXg4iIuy89ZbB229DYSFERcGUKfDvf5tJgT/8ofYEgM/nxzBcZGWpTIW0HXl5eeTn5wc8fvv27ZSVlRHZ0NUjEWn3li2r+1hmJvTqBV9+GdyaXbseU0gi0khdupj9Bb76quaxuDhzR/nll6sEi0io5ORAVhYsWAB79kBYGJx3HpxxBiQlNdwoWyQYSpZ3EDExMcTExBAREUFFRQUxMTE89NBDREZGqka5SDPx+Xzs37+fSy65hIMHD7J8+fJqCfHIyEhGjx7N8OHDycrKCroZaKgNHBjGSy/ZeO656ltriorgjTfMr2nT4M034bLLau5+S0z0k5+vLQDStnz77bdBz9mzZw9dunQJQTQi0pYUFNR97H//M+/M+te/wOOJwOk0v9fn+OMhMbGJgxSRgNhsZp+BnBzzM++PP5obRs47D4YNM5N1Oq0WaXpeL+zcCVdcAd9/X/3YG2+Ydzffey/ceKPeI6XpKFnewRg/3T9msViIi4tr2WBEOiCv18u+ffuIjIzkyiuvxGKx4PF4MAwDm81GcXExe/bsaekwa+jVy8H8+Taef77+e1D/+19zV/mTT8Lttx953DBgzBjYskXJcmk7/H5/o0qqlJeXhyAaEWlrkpLqPlZcDOnpMHgw7N17Hamp/+bAgUvqXe/BB7WzXKQlde5sfv35z+D3B1aaRUSOzfbtZuPc4uLaj5eVwR//aO42/+tfISGheeOT9knJchGRFlBWVtZm6hpbrWCz2RtMlB/y7rtw5ZXm7arZ2eZjEyb4KS93E0DZZ5FWwzAMoqOjg56nZtkiAjB5cv3H//IXePllmD59LOvWja137EUXNbyeiDQfJcpFQi8jA84/v+5E+dFefhl++UtzvMixUoNPERGpV7duNl58MbgzgvnzYcYM898xMfC3v/nJyFBXMml7Tj311KDGG4ZB7969QxSNiLQliYkwalTdx/fvh7vvhkWL4OSTax/jdMLvfgfPP6/by0VEpGPZtw927Qp8/IMPmqWSRI6VdpaLiEi9YmMdvPlmcMnyjz+GO+4wd5cvXeojM7OCykptK5e2Jy4ujsTERHIC/OQ9ePBgNfcUCaHS0lJKS0vJzMzE4/EQFxdH586diYmJwWq1tnR41cTHw9y5cNppUFd1pvXr4eqr4be/NS80v/qqWQvZ4YBzzoEJE8z30vDw5o1dOqZVq1bhcrlCsvahdV0uF8uXL2/y9Z1OJ6NHj27ydUWkZZSXm6U9g7F+PeTl6eKyHDsly0VEpF6GUfdJfl38fuja1c/y5T4OHKikqEi1yqVtio2N5aqrrmLOnDn4fPX/d+x0OrnwwgsJV1ZLpMlVVlaSlpbGokWL2LdvX7VjkZGRjB07llGjRhEbG9tCEdauf39YtQomTaq74WdZGZxxhlm//MknweU6VAKteWMVcblc5OfnU1lZ2eRrWyyWw9/T09ObdO2wsDDi4+ObdE0RaVllZWZjz2DV11xbJFD6CCYiIvXy+80Tdo8nuHl2u49Nm9ToUNq+1NRUbr31Vl544QU8dbwQIiMjuf322+nSpUszRyfS/lVWVrJu3TpeffXVWo+XlZXx3nvvsWHDBm6++eZW1cTeZoOTTjJ3u335JTz6qNmsDKBfP3jgATjzTEhJgZ9yiTidLRevSGVlJfn5+djt9iZdd+DAgWzfvp3+/ftTUlLSZOu63W4lykXaIcMwLxwHq5XdZCZtlJLlIiJSr7IyD+ecY+GddwIvxXLyyVBZqd3k0j44HA769u3Ln/70J9avX8/HH39MYWEhAElJSUyePJl+/foRFxeHoY5fIk0uMzOT1157rcFxBw4c4M033+TKK69sVeWQLBZITYVLL4Xx48HtNi9EOxxmiRWR1sZutzNs2LAmXXPYsGFMnTq1SdcE+OGHH5p8TRFpeTExMGIEfP994HMMAzp3Dl1M0nEoWS4iIvXKyHBz1132oJLlv/+9j6ys0NS8FGkJNpuNzp07M3bsWE4++WS8Xu/hx2NiYlo4OpH2q7y8nKVLl+L3B9b3YsOGDZSVlbWqZPnRlBwXERFpmMMBt95qNrgO1OTJkJAQupik47C0dAAiItK6uVx+YmK8jB8fWKLixBP99Ovno6REDT2l/bFYLMTGxhIfH098fLwS5SIhVlZWxrZt24Ka8+WXXx6+oCUiIiJtU5cu5h1ZgTAMePhhaGWtS6SNUrJcRKQFREZGkpiYSJcuXUhMTCQiIqKlQ6rXjz9W8uyzPsaMqT8BfuKJfv71Lx87d1Y0U2QiItKeFRcXBzxu9+7dh7+7XLq7SUREpC1LSIB//hMGDGh47MsvBzZOJBAqwyIi0ozi4uKIi4tj//79fP7551RUVBAeHs6pp55Kr169KCgooKioqKXDrMHrhc2by5kzJ5y9ey08/riFr78+cvyEE8zSK0OH+ti2rZKqqpaLVURE2o9Ad4hnZ2dTVVVFdnY2Xq834LItIiIuF2Rlwbp1ZgNem83sv3P88S0dmYh07w4ffwzPPANz58LP+wMPHw5z5pjNtKOiWiZGaX+ULBcRaSZJSUlkZGTw0ksv1djxtm3bNpxOJxdeeCFJSUlkZ2e3UJR183hg69YKoqIMnn3WgcNhxeMxO477fD6ysqrYtElNPUVEpOlER0cHNM7n8x3+npiYiMPhCGVYItJOZGTA7Nnw4otQXl79WLducOKJLROXiByRkgKPPgqzZpkXtA4cgIgIc8NWly6QmNjSEUp7o2S5iEgz6Ny5M3v37mXJkiV1jnG5XLzxxhtcdNFFdOvWjfz8/GaMMHClpX5KS3V7u4iIhF5ERARJSUlkZWUFPGfcuHHY7fYQRiUi7UF6Okydau4or01GBvTsCU4n+LQfRKRFORyQmmp+iYSaapaLiISYYRhERkbWmyg/2uLFi4mKisIwjBBHJiIi0rrFxsZy7rnnBjzeYrHQqVOnEEYkIu1BcTH87nd1J8p/Tm0QREQ6DiXLRURCrFOnTqxevTqoOWvXriUuLi40AYmIiLQh/fv3Z/jw4QGNjYqKIjY2NsQRiUhbl5cHb74Z+PiiInOnuYiItH9KlouIhFhUVBRr164Nas7q1asDrtMqIiLSnkVHR3PJJZdw1llnYbPVXkXSarUC5s5yEZGGLF4cXGkVrxfS0kIXj4iItB6qWS4iEmJ+v79GQ8+GBDu+pTmdBt262YmIsGGxgMfjp6jITWamB7+/paMTEZG2Ljo6milTpjB69Gi2bt3K5s2b8Xg8JCQkcMYZZ3D77be3ufdOEWkZbjcEedMnADt3wimnNH08IiLSuihZLiISYu259rjdDn36hJOfb+HRRw1WrjSorISEBLjmGgtXXOGkqKiKtDR3S4cqIiJtnMPhID4+njPOOINf/OIX+Hw+7HY7hmG06/daEWl6gW7m8HgicDrN72ryKSLSMeg+RRGREPN4PHTt2jWoOd26dcPj8YQooqbhcMCgQRHccouVSZMsfPCBmSgHyM2FJ56wcNJJFr780kGfPs6WDVZERNoVm82Gw+FQklxEgma3Q4BtENi79zqKiweyd+91HH98aOMSEZHWQclyEZEQKyoqYuLEiUHNmTRpEoWFhaEJqIn06xfBlVdaWLu2/kTFAw9YWLXKTnKybmYSERERkZZ3+eUQyLW23NyxrFv3Ak7nWFJTQx+XiIi0PCXLRURCrKysjB49ehAXFxfQ+E6dOtG9e3fKy8tDG9gxiI+3sGaNwbp1ge3ou+8+g4QE7S4XCaXERCu9ejno1ctJr14OYmP1MU9ERKQ2nTvDuecGPv4Pf4Bu3UIXj4iItB46ixIRaQaZmZncdNNNxMTE1DsuJiaGG2+8kYyMjGaKrHESE53Mnh34W4jXC++9B126WEMYlUjH1L27nSFDIlm3Lozf/tbJzTc7+MMfnBQUhHPCCREkJOh1JyIicrS4OHj+eejTp+GxF11kfqnqk4hIx6BkuYhIM6isrCQnJ4fbb7+dsWPH4nRW32XtdDoZN24cs2bNIicnB5fL1UKRBsbns7BrV3BzXnnFQlSUSrGINKWBA8P44AMHw4db+P3vLaxZAxs2wMqVcOWVFkaNspKXF0b37o6WDlWkSfnUaU9EjlFqqvl+efHFYK3lunJ0NDz0kJlUT0xs9vBERKSFKGshItJMKioq2LNnDyeccAIjR46koqKCyspKwsLCCA8Pp7i4mL179+L3+1s61AY1pvdoQQFYrdqSI9JUjjvOyYsv2njxxbpfVyUlcPnlFl55xU63bj6ys1t342CR+pSUlFBSUsLatWvJzc3F4XAwdOhQevXq1dKhiUgblZoK8+fDX/8KH34IGzeaTezPPBNOPRWSksyfRUSk41CyvBVatWpVyHaVHlrX5XKxfPnyJl/f6XQyevToJl9XpL3w+/3k5+eTn5+PYRhYLBZKSkraRIL8kMREK05n8EnvqCjQRkCRpuF0GpSV1Z8oP9p111n4/nunkuXSJvl8PrKysli4cCEHDhyodmzt2rWEhYW1+juyRKT1io42v266qaUjERGR1kDJ8lbI5XKRn59PZWVlk69tsVgOf09PT2/StcPCwoiPj2/SNUXaM7/fj9frbekwApaQYCU52cmHH1o4/niDrl0hMzPw+Rdc4KO8XIk6kaaQnGznkUcCv2jl8cCHHxoMG2YlJ6ft/N0RAbPvxxNPPFHnZ+PKykoqKioA2tTFZxERERFpfZQsb6UqKyvJz8/Hbrc36boDBw5k+/bt9O/fn5KSkiZb1+12K1Eu0o517WqjtNTJKadYcLlgwgSYORMefdQ8fuKJcPPN5q2sh0q0+P3wyiuwdKn52OWXw5YtSpaLNIWICBsffhjcHR5z5xq8+aZdyXJpUwoLC3n++ecD3kTSli5Ci4iIiEjro2R5K2a32xk2bFiTrjls2DCmTp3apGsC/PDDD02+poi0DnFxFjweJxdcYDlcRmXFCrjnHujf32x8lJUFc+bA9u1H5sXEwFVXwbJlsGaNn9JSN9rwJ1K7rVu38vHHK3G53Hz99cIGx9tsBr/4RXDPYRjmBS6Pp+leiB6PC6fTzsSJ45g0aVKTrStySG5uLvn5+QGPr6yspLS0lKioqBBGJSIiIiLtlZLlIiJSr6QkJ7/61ZFEud0OF14IViu8/76ZEP/yy5rziovhH/+Af/0Lli+HrCztKhepy5o1ayguLgDA5SoNaI7TGfzzFBUFP6chLhd89dVX3H777U2/uHRolZWVLFu2LKg5Ho+H8vJyJctFREREpFGULG9n7HY78fHxhIWF4fP5sFgsh0u6uN3ulg5PRNoYp9OguNjCnj3mz2PHwoMPwr//DRs3whNP1J4oP1pBAUyaZLBqVThFRWXaXS5Si5EjRx7eWW6zNZwFt9kMcnODa5obFmY2MPN6m35n+YgRI5psTZFDqqqqyM3NDXpeKPr+iIiIiEjHoGR5O2GxWEhOTqasrIz333+f7UfVQhgwYAATJkwgMjKS9PR0fMGcWYtIh5aYaOX11826yBMnwk03wbnnmscWL4a77gpsnYICePNNg4kTraSnq56syM8NHDgQhyOVrCwbffuObXB8ly5W1q4N4w9/sAT8HJ995sdiqeTAAU+TXbTaufNTkpI89OmjXbzS9AzDwDCCq80vIiIiInIslCxvBywWC7169eLtt9+uliQ/ZNu2bWzbto0BAwZw0UUXsW/fPiXMRTowj8fFzp2fBjQ2LCyV3NxhxMbCvffC1KlQWQnXXANvvHFkXELCp6SmvsmBA5eSmzu21rWef97gyiudfPfdCkpLXQHHCtaAxop0JNnZXqZN8/PUUxBIOeeTToL9+w22bXNy6aVODh6sID9fnwWkdQsLC6Nnz55kZGQENS8iIiJEEYmIiIhIe6dkeTuQnJzMokWLak2UH23btm385z//YerUqaSlpTVTdCLSmoSHe+na1QoEVj88KspFbKyPq6+28I9/mIlygOHD4amnjozr1etlIiP306vXy3UmywsKYM8eK2edNZJvvvmMqqpASkNZiY7WrkKR2uzdW8l774VzzjkWCgvrHjdgAMyeDb/6FRQUWHj2WXjnnXDi4yvJz9edHtJ8Vq1ahcsV2MVSAKvVyumnn85XX30V8By73U5WVhbr1q1rTIj1cjqdjB49usnXFREREZHWQ8nyNs5ut1NeXs62bdsCGr9161YmTZqE3W5XDXORDsZqtRITYwuqXILT6eLii6uwWMI455wjj4eFQUXFkZ9ttvJq3+vidsPtt0fxzDMnkZW1JYg4GtHJUKSdKyryYRgVfP55OC+8YLBwoUH5US/BpCSYORPOOAMuv9y8YAVQUgJTplj48sswiovL8Kj3rjQTl8tFfn5+UDXFExMT6dWrF3v37q13nMViliSKjY1l48aNQSXlAxEWFkZ8fHyTrikiIiIirY+S5W1cfHw8H374YVBzVqxYwVlnnUVWVlaIohKR1qhXr14kJyczadKkoOalp8Pnn4P3qA2o+flmIi7YPyM2G3z6qYHNlsKkSSnBTRaRGgoLfRQXl3HxxTbuuCOM7dsNKiogKgpKS+H//T947DFq1CgvL4e//tXg1lvt7N+vi+fSfA41nrfb7QGNX7t2LdOnT2fhwoX1Nvvs0qULANOmTeOEE07AMAx+/PFH9u7di/8Yi/S73W4lykVEREQ6CCXL27iwsLCAd5UfsmXLFs4///wQRSQi7U3XruBwVH9syRJzp+qGDYGvM3w4bN1q/vv5580yLj9fV0SC5/NBebmPTz/1c9NNBk7nkZJJ9Vm0yOCBB5Qsl+Znt9sZNmxYwONzc3O56aab+Oyzz1i7di1VVVXVjqempjJlyhQ2b97MJ598wieffEJ4eDhnnnkm06ZNIzs7m7KyskbH+8MPPzR6roiIiIi0LUqWt3F+vz/o3TJ+v18NPkUkYBYLJCdXf2ztWvjzn8HphEDvdL/pJvjb38x/f/stlJUpWS7SVGJirCxZYsHvDyxRDuDxwIEDBjYbKsUirVpVVRV79uxh2LBhnHnmmeTk5FBYWEh4eDidO3dm//79LFmyhOzs7MNzKioqWLZsGatWreKWW24BOKaEuYiIiIh0DJaWDkCOjWEYGEZwze8Mwzhc11FEJBApKfDzO9Cfew7mzAls/tlnm0n3H380f/Z6zd2wItJUDBqTBywrA5tNTXSl9fP7/eTl5bF3717cbje9evUiLy+Pv//97yxevLhaovxolZWVPP/883Tp0kWff0VERESkQfrE2MZVVFQwaNCgoOYMGTKEiqM784mINMDphBtvrP7YO+/A5s3wwgtQ3zW7iy82595665HH+vWDyMjQxCrSMflJSAi+LnN8PLjdx1bPWaS5VVVVYbfbef/99/EEcFtEZWUln332GXFxcaEPTkRERETaNCXL27j8/HwmTJgQ1JwJEyZgGAaRylSJSAAyMuCXv4QxY2DAgOrHnnsO3n0XOnc2f7bboWdPc9ytt8KyZdC/v5kwP7pcy29+A2Fhzfc7iLR3OTkerr02uKR3bCx07uyv1rxXpC2IjY1l/fr1QZUiXLt2LTExMSGMSkRERETaAyXL2ziPx4PT6WTIkCEBjR86dCglJSV8+umnVFRU0KtXL+J/XltBROQnhYVw552wZg1cfbWZHD/11Opj3nsPcnPNf4eHw9tvm/XMs7Ph3HPhkUeq10MeONAs6yIiTae83E9qqp8uXQKfc8MNPvLzqxoeKNLKOJ1ONm/eHNQct9tNZaAF/UVERESkw1KDz3YgPT2d8847D4CNGzfWOe6EE05g5MiRvPTSS3g8HtatW4fD4WDSpEkMHjyYgwcPNlfIItJG5OaayW+ArCyYPh0efxweeAD++U/45huoqjJ3lINZrmXjRpgxo/b14uPhv/+Frl2bJXyRDiUzs5KXXgrn/PPNRp/16d0brr7az4YN6uwpbY9hGFRVBX+hx+PxYBhGUDvSRURERKRj0c7ydsDv97Nv3z7OPvts7rzzTk488cTDDYwsFgtDhw7lxhtvZODAgYcT5YdUVVXx3nvv8cUXX5CcnNxSv4KItEJeL7z6KtWSbgUFZv3xa64xd4ffdx889pi5oxwgJwd69aq9hvmoUfDVV9C3b3NEL9Lx5Of7iIx0sXixr94yR4MHw9KlPnburGgwqS7SGvn9fqKiooKe53Q6lSgXERERkXppZ3k74ff7SU9Px2azMW7cOM4991xsNhu5ubls27aNV199lfLy8jrnr169miFDhuB0OnEdXVhYRDqssjJYtar2Y4WF8I9/HPl5xAhzVzmAz2fuHl+6FMrLzWael10GCQlHapuLSNMzDCgr85GcXMX69XZWrDB49lkLBw6AwwG/+IWf3/zGT0KCjx07KqmsVNJQ2qaSkhLOOOMMduzYEfCcTp06Hd5MIiIi0hE5nU5sNhs+n4/KykpdQBapg5Ll7YzH4yE7OxuHw0F4eDgvvPBCwHM/+ugjLrroIjIyMkIYoYi0FT5f9VrjgbBYzITd+eebX35/7bvMRaTpOByQnOwgKsrO11/Dpk0QEwOnnw5jx3rx+fxUVoLL5SUz001Ojk6MpG2rqKigZ8+ehIWFBVyHfNy4cRQWFoY2MBERkVbGYrHQqVMnYmJiyMjIID8/H4fDQWpqKl6vl4KCAvX0EPkZJcvbqbi4OD766KOg5uzduxf7ocLDItLhRUTA8cfDF1/UPSYsDC6+GPLyoLTUTNBZLLB/PyQmHinPIiKhERdnISUlnAcfNHj3XQOfr/rxESPgiSd8VFa6yMpSfXJpP/Lz8/n1r3/N/PnzGxzbvXt3Bg4cyJ49e5ohMhERkdbB6XSSkpLCihUr+Oabb6qV5AXo2bMnv/zlL4mMjCQvL6+FohRpfXQvYjtltVob9ceuMc2SRKR9cjhg1qy6jw8eDO+/bybH8/PNxwoLYfx46N8f7roL9uxBNZFFQiQmxkJiYjhjxlhYurRmohzMPgFjx1qoqHCSmGht/iBFQqSkpISwsDBmzJhR72aPPn36MHPmTIqLi5sxOhERkZZlt9tJTk7mueeeY82aNTUS5QD79u3j73//O8XFxXTq1KkFohRpnZQsb6csFgtWa/AnxYbqJYjIUVJSYNCgmo/37Qtz5pi7yhcurJkQr6yEF1+EU0+FrVubJVSRDqdHjzDOO89CUVH94zwemD7dQlJSmMoiSbuSn59P165dufPOO7ngggtISUkhMjKSuLg4hg8fzs0338wpp5zC3/72N8rKypQIEBGRDiMpKYkFCxZQUFBQ7zi/388rr7xCZGRko3JIIu2RkuXtTFxcHD179sTtdpOamhrUXIvFgvNQhz4RESApCf7zH4iNrf74U0/B1VdDbm798/PyYMIEOHAgdDGKdEQxMRa2bjXIygpsvMsFr79ucMIJYajimrQX8fHxrF+/ntmzZ/P9999z2mmnccEFFzB58mSioqJYsGAB//73vykvL2fBggU4HA4cDkdLhy0iIhJSNpsNl8tFenp6QOP9fj8rV67URWWRnyhZ3o4kJyeTlZXFnDlzeOGFFzjllFOCmj9s2DDKyspCFJ2ItFV9+8LatTBsmPnz0KGwezcE2gs4MxNWrQpZeCIdUmKinb/9LbiPcXPnGuTm2ujaNZL+/ZU0l7YvJiaGZcuWAeat5EuWLOG1117jzTffZNWqVdUalvn9fpYuXUp8fHxLhSsiItIsOnXqxGeffRbUnO+//57IyMgQRSTStqjBZyu0detWVqxYQVVV1eETgIZYLBY8Hk+1k4L77rsPt9tda22q2mRkZLB06dJGxex2u3E4HEyYMIFJkyY1ag0RaZ0sFrMG+UcfQVYWpKfDnXcGt8bDD5s7zLt2DUmIIh1OWJiVzZuDm1NUBBERBlddZdC5s8H8+RFs3VqBy6XGAtL2REREcPDgQSwWC6NHj6Zbt27YbDZKS0v57rvvOHjwYI05u3btwuFwYBgGfjXUEBGRdspms3EgyFt7vV6vetiJ/ETJ8lZozZo1FP1UgLSioqLR65SUlAQ1vqFaVg2pqKjgq6++4vbbbz+mdUSkderSxfyKiYFt24Kbu2OHWQZCRJpObQ09G1JUBH/8I2zdanDppRbeeCOc9evLmz44kRAyDIMePXqQnp7ONddcw9q1a9m4cSMej4e4uDhGjhxJly5dWL58OTt27Kg2NzMzE7vdroSAiIi0a7ooLNJ4Spa3QiNHjjy8s9wewD3SFosFl8uF2+2u9VhERARut5uqqqoafzBtNhthYWEA+Bpz1v2TQzvLR4wY0eg1RKRtaOznrmP4EyMiP+Ny+ejTxxrUhavwcKiogCuvhPvug/PPN/jf/wxOO81KdrY3dMGKNLFevXrhcrn46KOP2LNnT7VjJSUlHDhwAKfTyeWXX05MTAzffvvt4eNut1s9ekREpF3zer0kJCSQn58f8BzDMNTXQ+QnSpa3QgMHDiQ2NpaSkhKGHSoSXI8ePXrw17/+tc4rhxaLhRNPPJERI0ZQUVFBSUkJTqeT3r17U1FRQUFBAa5j3PL5ww8/EB0dTXJy8jGtIyKtn91u7i4vLg58TlQUqo8s0oTy86u46y4rN94YeN3ySy4xG/YC/OUv8M9/wksvWZgyxUF2duPvZBNpTgkJCbjdbl599VUy6mme4XK5WLhwIddeey15eXmHk+oxMTHq0SMiIu1aUVER48aNq3F3VX369+9frayvSEemZHk74PF46r3FxufzsW7dOtatW0dkZCQRERHY7XZSUlLIzMxsxkhFpD1ITIQbb4TZswOfc+ONZgkXEWka+fk+Ro70ExUFpaUNjzcMuPRSmDbtyGNPPAE33ACVler3Ls2jMX15fs5ms1FVVRXwCf19991HREQEZWVlGIbBgw8+iNcb3J0U6s0jIiJticvlIikpiZiYGIoD3OE0adKkoHaii7RnSpa3A4ZhBDy2rKyMsrIyYmJiQhiRiLRnDgfMnGkm2gIpyWIYZkJOd/WJNMzjcbFz56cBjS0vj2fRopM5//ww6iu/nJDwKWec8Sb/7/9dSmXl2MOPb9wIxx0HeXku9u37nKqq4EuxeDwuwBr0POmYmqovT7AOPSc0vkePevOIiEhbkpOTww033MCzzz7bYJ+Os846C5vNVmtpX5GOSMnydsBms+F0OoMqpZKamqo/hCLSaMnJMG8eXH99w2PnzjXHi0j9oqMNUlKsgCeg8R5PNpWV6/j445O45ZYwNm2qOSY1FU466WUKC/dTVvYyMLba8V274JRTDOLja/Y1CYyV6OjAL9pLxxZsX56fs1jMuyBKA7md4ih2ux2r1YrD4cDjCez1dTT15hERkbamoqICq9XKHXfcwRtvvMHBgwdrjImIiGDq1KmHm2aLiEnJ8nagpKSEX/ziF6xatSrgORMmTGj0zhoRkagomD7d/H7TTbWPiY2F556DKVPMcSJtSXl5+eFdOBaLhejo6KDu5AqW0+mkS5fGlCsqxWL5jsWLh3DgQAz/+x/k55uvufHjweWC+fPLMQyw2cprzPZ4IDHRy3HHRR5z/CINCbYvz88lJSVRXFzMSy+9FNS8Xr16cfXVV7Nv374Gd9fVRr15RESkLSotLcXtdnPppZdiGAbfffcdRUVFOBwOBg8eTGJiIkVFRUqUi/yMkuXtQEFBAWeccQarV68OaLdMt27dCA8PJzc3txmiE5H2Ki4OLrwQRo0yE+alpWaplalTzTItw4dD165q7CltS1FREbm5uXz44Yfs2bMHr9dLXFwcEyZMYNCgQURHRzdqR2xDRo8efcxrvPoqbN9uXqg6cABmzYLsbBgxAurKZfftC8nJkRx/vOowS+vn9XobdWHG4XBQWlraqES5iIhIW+ZyuUhPT8disTBw4ECsVit+v5+ysjL27dvX0uGJtEpKlrcDfr+fgoICrr/+eubNm1dv06L4+HiuvfZa0tLSmjFCEWmvHA7o3h3CwsxkeUICvPYahIe3dGQiwcvLy2Pu3Lk13iOzsrJ4/fXXsdlsXH/99fTt25ewsLAWirJuV1wBjz4a+PjERBgwACIiQheTSFPKz8/nuOOOw2q1BtWkc+jQoUGXbhEREWlPfD6fqguIBMhyLJM/++wzrrnmGk477TSGDRvGBRdcwKuvvorP52vUeuvWrePmm29mxIgRDB06lClTpvDcc8/VWYu7uLiY999/n8cff5zLLruME088kf79+3PNNdccw2/VNh3qcPyb3/yGgQMH1rhV3OFwMHr0aG655RYyMjJUr1xEQsIwlCiXtqmgoIBnnnmm3ovJHo+HuXPnsnv37qASdc0lMRFGjgx8/B13QI8eoYtHpKn5fD58Ph8nnnhiwHOsVisDBw6kpKQkhJGJiIiISHvR6J3l8+bN48knnwTMZpERERFs27aNRx99lNWrV/Pcc88dbsITiKVLl3Lvvffi9XpJSkqiW7du7Ny5k2effZaVK1fy6quvEv6zDMzXX3/NXXfd1dhfod0pKiqivLycyZMnc8EFF5CVlUVlZSUxMTF06tSJkpIS9uzZ08gGXiIiIu2T1+vlyy+/DKg8md/vZ+HChdx///3ExcWFPrggdO5slmI5/XSz/Ep9zjwTrrvOvDtEpC3JyMhgypQpbNy4MaDNHxMmTKCoqKgZIhMRERGR9qBRO8vXrVvHU089hcVi4cknn+Tjjz9m6dKlLFmyhISEBD755BMWLFgQ8HoHDx7kgQcewOv18rvf/Y7PPvuMJUuW8NFHH9G7d282btzI7Nmza8xzOp2ceuqpXHfddTz99NP85je/acyv06643W6ysrLYu3fv4bqOZWVl7N27l7y8PCXKRUREfqa4uJiVK1cGPL60tLTVNkLq0wdWr4bTTqv9uNUK11wDb70F3bo1a2giTaKiooKSkhJuu+22BuuXjxw5kuHDh6tPj4iIiIgErFHJ8hdeeAG/38+vfvUrpk6devjxAQMGcO+99wLmzvNAS3289NJLVFVVMWrUKGbOnHm4hEhKSgqPPfYYAG+99VaND7pnnnkmr732Gr///e8555xzSExMbMyv025VVVVRWVkZUNNPEZGm4PfDvn3m7tZZs+C22+Cf/zQfKy9v6ehEaldUVERFRUVQcz777LNW2yywTx947z3YvBnuvPNIc8/YWNi5E5591my+K9JW5eTk4Ha7+f3vf8/48eNr9BA4/vjjufXWWznjjDPYv39/C0UpIiIiIm1R0GVYSktLWb16NQDTp0+vcXzy5Mk89NBDFBYWsnbtWkaNGlXven6/n+XLlwNw0UUX1Tg+fPhwjjvuOHbv3s2KFSu45JJLgg1ZRKRVstvtxMfHExYWhs/nw2KxUFFRQUFBQZvtK1BUBP37w89bTTgccO218Kc/aTertD7lAV7JKS4uJjc3l4SEBMrKynC73ThaaR2ThATz66mnYPp0yMuDqCjo3bulIxNpGvn5+RQUFHDCCSdw+umn43a78fv92Gw2KisrDx8XEREREQlG0MnyLVu24Ha7cTqdDBo0qMZxu93OkCFDWLNmDevXr28wWZ6enk5OTg4AJ598cq1jhg8fzu7du1m/fr2S5U3AbrdjtVrxer1tNiEn0pZZLBaSk5MpLy/ngw8+YNu2bQAYhsGgQYMO75JLT09vM6WTDvV1LiurmSgHqKqCF1+Edevgv/9Vwlxal4ZKORySnZ1NVVUV2dnZOBwObLZGt35pNoZhfom0R36/n9zcXJVZEREREZEmE3QZln379gHQrVu3Ok8SU1NTq40NZD2Hw0GXLl2OeT2pncViISEhgd69e+N0OnG5XNjtdnr16kWXLl3axAm/SHtgsVjo1asXS5cu5R//+MfhRDmYJ/2bN2/m73//Ox988AG9evU6XJaqNXO5oKQksLFffw1/+QsEWfFCJKTi4uKwWq0NjvP9dFXI5/NxyimnBJxkb05uN2RlQXq62eTz0IUsERERERERaVjQGdJD3eRjY2PrHBMTEwOYtysHul5MTEydSaFg1gvWggULgmpGChzeCd9WREREkJSUxIoVK/j222+r1TC3WCwMGTKEc845h4KCAkoCzXiJSKMkJyfz9ttvs3379nrHbdq0CcMwmDx5Mmlpac0UXeNkZ5s7ygOtRjF/Pvz2t9CjR2jjEglUdHQ0J598Ml9//XVA4w3DYMCAASGOKjiFhZCTAwsWwH/+A6WlEB8PM2eC19vS0YmIiIhIWxAdHU1sbCx+vx+/33+4KkFBQUHQPX5E2qqgk+Wun+6vt9vtdY45VL+zsrKy2dcLVmlpKVlZWUHN8bWhbVphYWEkJCTwzDPPUFpaWuO4z+dj/fr1bN26lVtuuQWfz0dZWVkLRCrS/tntdsrKyhpMlB+yceNGxo8fj81ma9WNer/5xmzsGaiKCli9WslyaT0cDgdTpkxh/fr1hz+X/FxERAROpxOPx0NUVBSGYeB2u+v9/NJcsrLg4Yfh+eerP56WBnfcASNGmE0+29DHFxERERFpRk6nk+TkZLZv387bb79Nfn7+4WOpqalMmjSJHj16cPDgwTaVExNpjKDLsBy65bi+WtdVVVUANTrTN8d6wYqKiiIpKSmoL4sl6P/ZWkxSUhIvvvhirYnyo1VVVTF37tw6S+GIyLGLj49nxYoVQc1ZuXIl8fHxIYqoaWzYEPycH35o8jBEjknnzp254447anzWsNvtXHLJJfz6178+fGJQUlLCww8/zKJFi8jIyGjRi8y5uXDPPTUT5bUpLw+8ZJKIiIiIdAxOp5Nu3boxd+5cFi1aVC1RDnDgwAFefvllFi9eTM+ePdtUTkykMYLeWX6o/Mqh8im1OVQu5VD5lEDWKy4uxu/311qKJZj1gnXttddy7bXXBjWne/furb4sApgXF7KzsykoKAhofGVlJRs2bKB79+71/v8rIo0TFhZWrUZ5IDZu3Mi5554booiaRmPKquvzlbQ2VquVHj168MADD/DVV1/x6aef4na7mTlzJitWrGD79u3VLuy7XC4+//xzPv/8c8aNG8fkyZOJjo5u9ri3bYNXXglsbFGRWTapBcIUERERkVaqW7duvPjii+Tl5dU7bufOnfznP//h3HPPJT09vZmiE2l+QacrevbsCUBGRkadZQEOHDhQbWwg61VVVZGdnX3M68kRnTp1Yvny5UHN+eyzz0JyUUJEGlfC6VCtuNbslFOCn3PqqU0fh8ixslgsdO7cmcmTJ3P//ffzwAMPHE6U12flypUsW7as2XeYFxbCo48GN+fVV6EVV3USERERkWYUFRXFrl27GkyUH7J161Z8Ph9WqzXEkYm0nKCT5YMGDcJut+NyudiyZUuN4263m40bNwJw4oknNrhecnIyiYmJAHz33Xe1jvn+++8DXk+OcDgcHDx4MKg5oWiiKiImi8VSZyPjppzT3IYODW53eXR04xLsIs3FarXSqVMncnJyAu4xsGLFimZvkl1YCMuWBTdn3jxzd7mIiIiISFxcXNClQj/99FM6deoUoohEWl7QZViioqIYOXIkq1atYtGiRQwdOrTa8Q8//JDS0lLi4uI47bTTGlzPMAwmTpzIG2+8weLFi5kyZUq1499//z27d+/Gbrczfvz4YMPtsGJiYnA6nY3akdrad7GKtFWVlZX079+/wVIshmEwePBgRo4cSUREBF6vl9TUVDweDwUFBSFpdnwsunY1E+B19EWs4fbbISkptDGJHKvS0lLefffdoOasWrWKCy+8EJst6I9XjVJZGVxzXTAT5XqbFxEREWmb3G43PzRhA6jExER2795Nbm4uCQkJAVUa2Lp1KyNGjAgojvr6E4q0Vo06m7vpppv4/PPPefvttznttNOYOnUqANu2bePxxx8HYObMmTgcjsNzFi5cyCuvvMKJJ57InDlzqq03Y8YMFi1axBdffMH8+fOZMWMGhmGQlpbG/fffD8D06dMP70DvKBr7R/D4448nPDycH3/8kbi4uGo1y4uLi+v9I3joroFgn1d/AEUalp+fz8SJE+tNlqekpDB9+nQ2b97M66+/Xq2sQ2pqKmeddRapqamkpaW1mi7kdjtERgaWLJ88GWbNgqPeHkRapYqKCvbu3RvUnG+++YazzjqLuLi4kMT0c425+zU8vOnjEBEREZHQCwsLIz4+vknXNAyD7Ozsw6WRA0mWV1VV4XQ6A+7XExYWdqxhijSrRiXLTz75ZO644w6efvpp7r77bp5++mkiIiLYuXMnPp+PsWPHct1111WbU1JSQlpaGikpKTXWS01N5dFHH+W+++5j9uzZvPLKK3Tu3JmdO3fidrsZPHgw99xzT62x/OIXvzj876qqKgC+/fbbao8/+OCDrb5B3s819o9gQkIC3bp1Y968efTt25eRI0fy/vvvHz7e0B/BU045hezs7EY1KdMfQOkItm7dyooVK6iqqmJZsPUPMMs7VFZW1nqByWq1kp6ezqefflrrHR47duxgxYoV2O12wsLC8Hq9AT+v2+3G4XAwYcIEJk2aFHTcDTnUsDMmBuLj4WcN1ImLg7vvhuuv165yaRuCeX0dUl5e3qx3Z0VFQa9eEExOf8IENfgUERERaWucTmeTJ8oPrXtoE1agm7GioqKwWCwkJycH9TwibUWj7xO++eabGTBgAAsXLmTz5s3k5ubSr18/LrzwQn79618HXex/2rRp9OjRg3nz5rFu3Tp+/PFHunfvztSpU7n++uvrfGEVFhbWeMztdld73BVobYBW4lj+CPbt25e5c+fi9/vZsWMHZ599Njab7XAz1ob+CI4aNYrdu3cH9Ufv57GLtGdr1qyhqKgIMHeeNiWPxxPQ3yuPx9Oo566oqOCrr77i9ttvD3puaSnk5EBeHvh8R5LiXbqYjx/KK0ZGwpYtsH49bNxolnsYMgQGDTLLtdjtQT+1SItoTNMip9PZrD0GunWD+++HG24IfM5995mvXxERERFpO0aPHh2SdcvKyqrljAJx+umn06tXL/r06ROSmERa2jEV1Rw3bhzjxo0LaOysWbOYNWtWvWOGDx/O3Llzg4oh0MZbbcmx/BHcvn17tSadK1eu5LLLLuO1115rcLfbJZdcQrdu3ejdu3ejn1+kvRs5cuThneX2Y8j8Wq1W/H4/LpcLt9uN3W7HYrEEdXEvOjo64N2vh3aWjxgxIqg4Kypg1y74859hyZIjSfETToCnnoLcXPjb3yAsDJxOM3G+ciWccQZMnHhkx7lIWxMWFkZycjLp6ekBzxk2bBgREREhjKqmc86B7t0hkH7eDoe5E11EREREBCAyMpKwsLCA+2IZhsGIESMatbFEpK1ong5U0izcbjefffZZtcc2bdpEZGQk11xzDUuWLKl1XmRkJBdffDGDBw9WKRWRBgwcOJDY2FhKSkoYNmzYMa1lt9uJj48nLCwMh8PB7NmzKS8vD3j+mDFjGDJkCPk/r3lSix9++IHo6Oig7hopL4dly2D69CNJcoARI+BPf4IrrjCT44ceA/B44LLLzLIry5bBsGHaTS5tU3R0NFOmTGH+/PkBzxk/fny1fi3NoXt3WLECxo2DoiK4/HI46ywzMe52w5dfwldfmWPj41UGSURERESqCybxff755xMVFRXCaERanpLl7YjH46nWDPCQtWvXkpmZybRp09i8eTNFRUXY7XaGDx/OoEGD6NWrF0lJSboyKNLM3G43WVlZACQnJweVKAfYsmULJ598cihCA2D79pqJ8qQkeOQRuPBCKCmpe25hIYweDWvXwtChIQtRpIZVq1Y1Wfm1fv36kZKSQlpaWoNjhw0bRnl5OcuXL2/08zmdzkbdXdavH6xZAwcOwHPPwVVXmXeF2O3mzvPOnc3Xq97mRUREROTnDpURrG/Th2EYTJs2jZEjRxKujvHSzilZ3o5YrdY6y0Ls27ePhQsXHq5zbLFYsNvtfPTRR1xxxRWNrlEuIk2jMU0Bq6qqsISozklhIfz+99UT5fD/27vz8DrK8+D/35mzb9p3yZItWV5kvK8C22AMmC1sgQRImhCSJiVJQxJ+adOmb5q3TZv2bWnalCYNCYGkCYshUJYQFi/gfV/AtrxJlmzJkiVZy5HOfmbm94esg2Vt5whrs+7PdXHZPmfm6JHxaOa5n/u5767ayD/60cCB8m7BIHzpS/Dmm5CRMSzDFKKXUChES0tL3FtJB3L+/Hk++9nP8tvf/pa6urrY9XbpdXfVVVexevVqtm3bFndjpEsNtbE3QGMj/PCH8Itf9Hw9EoHXXuva+WGzdfUbEGIsiEQiHDhw4LJ+Zm1tLceOHWP69OkUFBRc1s/uqym3EEIIcaWx2+38n//zf+jo6GDTpk1UVFTgdDq5+uqrWbx4MW63W6oRiAlBguVXEKvVyqJFizhy5Ei/x3RP4kOhEDt37kRVVdLT00dqiEKIfpjNif84TqRmeaKam2Hdup6vmc1d2eJ///fxf87u3V2BPAmWi5EUDAZpaWn5WH0FADo6Onj33Xe55557aGtr47nnnuP48eNkXPgHPX36dK699loMw+Dtt98ecqA8EokMOVB+/jz8zd/0DpT3pbUVzp2TUixidH2chaGBVFRU0N7eTkVFBTNnzrzsny/BASGEEFeacDhMW1tbLMnE6/Xy93//93g8Hq6//nruvPNObDYbLpdLKhGICUWC5VeYadOmYbFY4s6AmT9/vtSbEmIM0HWd3Nxc6uvr4z7n6quv7rP00uVQVQWXJrtfdVVXWZVE/e//QlnZZRmWEHGzWCwfu69At/Pnz+NwOPjmN7+J2WxG1/VYQ97W1lbC4TBzPka9oY+TYXv2bHyBcuja7VFRIcFyMXpsNtvHDpSnpaWRnp6OpmlomobJZMJkMvHyyy8DXffT4doxabPZhuVzhRBCiJEWDAY5cuQIv/rVr3rtyOzo6ODVV1/lrbfe4mtf+xqTpUO8mGAkWH6Fcbvd3H777f0287yY1Wrl9ttvlwd/IcaA1tZWbrzxRn7zm9/EdbzZbGbq1KlUV1cPy3guVGzqISUF4ugl2svZsx97OEKMukAgECtlNlb4/fDjHyd2zt/9HcydC6mpwzMmIQYylJr8F2ttbWXnzp288MILdHZ2xl73eDyxnR02m40bb7zxY30dIYQQ4kp36tQpnnrqqQHLgYZCIX7yk5/wl3/5l+Tn54/g6IQYXcNT7FaMGqvVSnl5+aCTBEVRePTRR2NbyYUQo8vv95OXl8e0adPiOv6BBx6gtbV12MaTm9v7tc5OcLn6Pj4adfb49WLDsNteCEFXWZXnn0/snI0bob19eMYjxHBqbm7m8ccf57XXXusRKIeuDLjuxayhlkMSQgghJor29naeffbZuPpmRaNRXnzxRfx+/wiMTIixQYLlVyC3281NN93Ed77zHWbPnh3rbAwfdTn2eDwUFhZK3SkhxpDa2lruu+8+Zs+e3e8xZrOZP/mTPyE1NZX2YYx45eX1rjN+5EhXo8C+VFc/jNc7k+rqh3u9d/vtwzBAIQS63vcukMGEw5d/LEIMp7a2Nv7zP/+Tln62N9nt9thOSV3XqampobGxsVdQXQghhBDQ0tLC+fPn4z7++PHjck8VE4qUYblCuVwupkyZwkMPPYTP54vVMP/617/O+fPnUVVVAuVCjDG6rlNdXc1NN93ELbfcwpYtWzh69CiRSASPx8PVV1/NtGnTaG1tpbm5eVjHkpsL3/42/PVff/Sa3w8nT3aVcDh4sOfxzc3X0dx8Xa/PKSmBwsJhHaoQE5aqgtWaePB7CP2EhRhV1dXVNDU19fneggULuOaaa/j2t78NQGdnJ//8z/8MwOTJk7n99tspLCyUHj1CCCHEBXv37k34nMrKSrKysoZhNEKMPTJdusI5HA4cDkfszxdnmQshxh7DMKivr0dVVRYuXEh5eTmqqqJpGp2dncNWo/xSJhM89BC8+CLs3//R6//1X/BP/wT33tuV1ToQRYGf/QxycoZ1qEKMKIvFgqqqRKNRNE0b1bEkJ8Mdd8BLL8V/zqJFXecJMV50dHTwhz/8oc/3Fi1axPTp0/mv//qvPpvbV1dX88QTT7B8+XLuuOMOCZgLIYQQMKQs8bHWu0eI4SRlWIQQYgzSdZ3z589TX19PXV0dDQ0NI771LTcXXn8dbr75o9eOH+8KzP3yl2Cx9H+uqsKzz0J5+fCPU4jhZrVayc7OpqioCIvFgq7rpKSkUFRUREpKyqiNy+2Gv/zLxM75v/8X0tOHZzxCDIdwOExdXV2v11NSUli8eDHPPvvsoHXKt2zZwubNm/sMqAshhBATTVJSUsLnuPprXiXEFUgyy4UQQvQrPx9++1toaoKf/hQ2b+4qwTJ9OuzdC08/Db/4RVfzTwCHAx5+GL7+9a7yK87e/T6FGFdSU1Ox2Wy88cYbHD9+vMd7TqeTFStWsGjRIs6cOUM0Gh3x8RUVdWWXv/ba4MdaLDB//vCPSYjLqb9A+PLly1m3bl1czckA3nrrLZYuXUqadJ0WQggxwS1atIh169bFfbyiKBQXFw/jiIQYWyRYPgFEIhE6OjqoqqqKZaZ2dnaye/duSkpK8Hg8WAZKERVCXHZWq5Xki2ohBINBOjo6RnFE/UtP7/rvX/8VvN6u8itOZ1dW6z/9E3zzmx81GXQ4IDsbLvRZE2JcS0lJIRAI8NOf/rTPgJzf7+ftt9/mgw8+4OGHH+b06dMjXpolMxN+/nPQNOinUkVMenrXjhEhxhOz2YzZbO6xGKWqKsXFxbzxxhtxf04kEuHEiRMsXbp0OIYphBBCjBspKSlkZWXR2NgY1/FlZWVSykxMKBIsv8L5fD4++OAD1q5dSygUik00otEoTz/9NFarlfvuu4958+bJthohRoDL5SItLY3Ozk7ef/99Ojo6sFgszJo1i+nTp9PR0ZFQZ/KRZLVCRkbv16SBp7hS2O120tLSMJlMaJqG2WxG0zTmzJnDhx9+2G+Ga319PS+++CKf+MQnqK+vH+FRd/UFeOopqKiAH/4Q1q//6L3Fi7uC5J2dXb0IhBhvXC4XS5cuZevWrbHXPB5Pvw0/B3Lw4EEWLlyIWbrcCiGEmMCSkpL4kz/5E3784x8PWsrMZrPxyU9+skcvPCGudPKkeAULBoPs3r2btWvX9ntMOBzmd7/7HeFwmPLycux2+wiOUIiJJTk5GYvFwn//93/T3t7e472jR49iNpu5/vrrWbBgAadPnx6lUQox8SiKQkFBAU1NTbzwwgucOXMm9p7D4WDZsmX8+Z//OS+//HKP9y52/PhxTCYTqqoOOum43EIhOH8efvc7uOaart0eut7VZLemBt58c0SHI8RlZbVaWbVqVY9gucViGVL98UgkMuLXpxATncfjISUlBV3XMQwjtiDd2toqDQOFGEWTJk3i61//Oj/72c/6PcbpdPLoo4+SmZk5giMTYvRJsPwK1t7ePmCg/GIvvvgiM2fOJCcnZ5hHJcTE5Ha7MZlMPPHEE/1O1KPRKO+88w5er5fly5dz9uzZER6lEBOPoigUFRXx2muvcejQoV7vBwIBNm7cyI4dO3j44Yd5/fXX+13M2rJlCwsWLKClpWW4hx0TCnX1ErjtNgiH+z5m2bKu0kgSIxTjVUpKCrfeeitvXlj58fl8eDyeIX2OZJULMTJsNhu5ubkcO3aMtWvX0traGnuvoKCAG2+8kcLCQmpra2URS4hRYLVamTp1Kt///vd56KGHepQEzcrK4pZbbmHatGmkpKSgKMoojlSIkaeO9gDE8IhGo2zevDmhczZv3jwqzcmEmAjS09N56qmn4poM7Nixg87OTmxS+FuIYZeVlcW6dev6DJRfLBAI8Ktf/Yp77rkHVe378ammpmbEe4BUVw8cKL9YSws0Nw/7kIS47JxOJ9dddx133nknqqoSCASw2WwJ74hcsWJFv9evEOLy6Q6U//d//ze///3vewTKAWpra3n66ad56aWXKCoqkutSiFHg9/tpb29H0zSsVivQVZ7lH/7hH/j2t7/N0qVLSU1NlUC5mJAkteIK1dnZ2WO7ajy2bdvGDTfcQGpq6jCNSoiJyeFwUF9fn9BW03feeYe77rqLhoaGYRyZEBOboijYbDZ27doV1/GBQID9+/czd+5c9u/f3+t9TdNGdELh98M//3N8UA1qDQAAc5pJREFUgXLoykJvbOzde0CI8cDtdnPdddexaNEiPvjgA06ePMmyZct477334jo/KyurR2NtIcTw6Q6UD7bT6uTJk7z88svcdtttsqNSiBHS0dFBY2Mjb731FkeOHMEwjFiJUE3TUFWVpKSkUR6lEKNLlnCvUJqmEQqFEjonFAqhadowjUiIiSspKYn3338/oXOqqqpiK/xCiOGRmpoad6C8286dO1m6dGm/nzeS99Gmpq465Yl44omuoLkQ45HNZiM9PZ1rr72Wm266iRtuuIHs7OxBz7NYLHzpS1+SYLkQI8Dj8XDy5Mm4S5JVVFSg6zom6UItxLDzer2sXbuWxx9/nMOHD2MYRo/3fT4fP/nJT0a0pKAQY5EEy69Q/WW2dW9x62+rm2yxEeLyM5lMvbafxmMozcuEEPGzWq0cOXIkoXOCwWC/71133XW9mvcOp5aW+LPKu23aBCM4RCGGhaqquN1u0tLS+MY3vkFxcXG/xyYlJfHYY49JXx4hRkhycjLr169P6Jz3339fdjcLMcx8Ph+vvPIKe/fuHfC4+vp6nnjiCdra2kZmYEKMQVKG5QplNpvJzc2lvr6+x+tZWVk0NzeT0cce7JycnBGvtSrERGAYhmTLCDFCKioqWL9+PeFwmHfeeWfAY00mEz6fL+HGYv/n//wffD5fj9dUVeX73//+kDLLI5EIVquV1atXc+ONN8Z93iXJQP2KRp3YbF2/hkLS6FNcWVJTU/nKV77C1q1baW1txWQykZmZSXp6OjfddBPZ2dnSnEyIEXb+/PmEjq+oqGD16tXDNBohBHRlle/cuTOuYxsaGjh+/DhLliwZ5lEJMTZJsPwKlZSUxK233spTTz3V6/X+6k/ddtttUptKiGEQiUQoLi5OaOJgsVikDIsQQ7B9+/ZYdncifQIS0V/2eDjRNO+LBAIBduzYwTe+8Y24z3G54juuuvphJk16gTNnPs1VV4HDMcRBCjFGeTye2KK02+3msccew2Kx4JB/7EKMuEvLOsQjHA5Lk08hhlEkEom7x0e3N998kxkzZkiMSExIEiy/gpWUlJCamhpX+YeUlJQBt7AKIYautbWVlStXsnv37rjPWbZsGSaTCZvNlnD/ASEmsvLy8lhm+WC7pRRFwTAM/H5/3J/ffV12n6OqKi6XC13XhxQggI8yy5ctW5bQeWlpMG8eHDgw8HHNzdfR3HwdAN/5DkjZZnElUxRFJvZCjKKh7KZ0uVzSO0uIYeTz+fpsTj+QxsZGgsGg3FPFhCTB8itYSkoK3/jGN/jxj3+M1+vt97ikpCQeffRRqRMnxDDRNA2TyURxcTFVVVWDHm+xWFi8eDHPPvssd999Nz6fb8BrWAjxkZkzZ5KcnExHRwfz5s0b8Fir1UpRURE/+tGP4s4Kv//++6mrqyMcDjNv3jycTieGYdDY2DjkMR84cACPx0NeXl5C52Vmwt/+Ldx9d3zHp6fDnDlDGKAQQggRp3A4TElJCZWVlXGfs2zZsoQWroUQiRsoAau/3nayiCUmKtnrdIXLzs7mL/7iL7jhhhuw2+093rPZbKxevZq/+Iu/IDs7e5RGKMTEoCgK99xzD7m5uQMeZzabeeihh1BVlaqqKv7jP/4Dm82GK956C0KIuGVmZrJhwwbuvffeuI6fOnUqhYWFmEwmdF3n2WefxeFwfKxA+cd1zTXwqU8NfpzZDK+9BoP8CBJCCCE+ltbW1oT6byiKwsKFC+PaDS2EGDqn09nve1lZWdjtdrKysnq8Ln23xEQlmeUTQFpaGnfccQerVq3C6/USDAax2+0kJSXh8Xgwm+WfgRDDyWw2EwqF+OUvf8nnP/95jh8/zrZt23o0CFRVldmzZ3Pttdeybt06SktLmTJlCqdOneLnP/853/72t3s1FBRCDF13wHvz5s2sWLGCBx98kBdffJFIJNLn8WVlZaxevZqmpibee+89FEXh4YcfHvXJfWYm/Od/dgXBn3gC+koAys2Fl1+G+fNB5jxCCCGGUygUIiMjg9mzZ/Phhx8Oevztt99OR0fHCIxMiInL7XazZMkS3n333T7f76u33aRJk6T3h5iwJEo6QZjNZlJTU6XUihCjIDU1lY0bN9LZ2clPf/pTysrKeOCBBzCZTPh8PiwWCx6Ph0OHDvGLX/yCQCDAuXPnuPXWWzl16hTBYJCqqiqSkpLo7Owc7W9HjBLDMFAUZbSHccVISUlh+/btAGzevJmrrrqKL3/5y5w9e5bdu3fT0dGB2Wxm+vTpLF++HJPJREtLC+np6WRlZfHJT34y9tpoy8qCv/97ePTRrqD4G29AMAh5efCNb0BpKeTkgPROE0IIMRLOnj3LJz7xCaxWK3v37u3zGEVRuOOOO5g6dSr19fUjPEIhJhaz2czVV1/db7C8L7feeisej2cYRyXE2CXBciGEGIJIJMKBwbrqXXDddddx7NgxoCvgefjwYQ4fPozZbMbhcBAOhwmFQni9Xpqbm8nIyADoUXplw4YN3HnnnXF/zb7GK8Yff0SnM6pzpCVEe1jDalKYlmIjy27CZVFRJXg+ZCaTifPnz8f+fOjQIQ4dOkR5eTmf//znaW1tpbm5mdOnT/PjH/+YSCSCy+VixYoVfO1rX6OhoWFMBMq7eTxd/33rW/Cnf9qVYW63gyQECSGEGGmGYVBTU8O1117L6tWr2bZtGx9++CHhcBiXy8XSpUuZO3cuXq9XAuVCjJCkpCRuuukm3nnnnUGPLSkpYfLkycM/KCHGKAmWCyFEgux2O2lpaXEfb7PZ+mweGI1Ge2w7bWxsJBwO09jY2GsbXFNTEx6P52Ot7l/at0CMXZphcD6o8YeaDs4FetbVOHg+hMOksCrfRWmyFYdZ0oWHwjCMXk2MioqKmD9/Po8//jjBYLDXOT6fj7feeou9e/fy5S9/GZ/PRzQaHakhx0VV4ZIfH0IIIcSIMwyDhoYGVFVl/vz5LFu2DFVV0XUdn89HdXX1aA9RiAnF4XCwevVqdF1n3bp1/R43bdo0HnroIZKTk0dwdEKMLRIsF0KIBNhstoQC5dC1zdTj8dDe3j7gcbqu9/j10kCe1WolLy8voa99KZvN9rHOF8PPMAyaAlF+e7ydqNH3MQHN4M3TnSzPcTA73Y7brGJSJcs8EeFwmOLiYioqKoCu6/Suu+7iySef7DNQfrGmpiaeeeYZPvvZz3LmzJmRGK4QQggxLum63mMnlxBi9Hg8HtasWUN5eTmbNm1ix44dhEIhTCYTM2fO5JZbbiE9Pb1X4pYQE40Ey4UQIgErV65M+BxN01i+fDl/+MMf4j5n+vTpnDp1Kvbn7OxsUlJSuPHGGxP++mJ86YzorK309hsov9iWhgBZDjMVwSjTU+14LCpmCZrHpb29nTlz5vDmm29iGAZlZWUcOXKEQCAQ1/l1dXX4/X4sFouUORJCCCGEEOOCy+XC5XJx9913s2bNGgyja9Jht9uloacQF0iwXAghhpnJZGLJkiWxoFw8Vq1axcsvvxz788033ywr/BPEuUAUfzyR8gsOnA+S5TDzy4pW7ilOotBtxiKdHOPqK2AYBgsWLGDv3r0sW7aMF154YcDjL+4rkJSUxLp165g/f/6QewlcPFYhhBBCCCFGitVqxWq1jvYwhBiTJFguhBAjwOPxcO+99/Liiy8OeqzFYkHXde6//37Wr19PVVUVU6dOHYFRitHWHoqy81x8mc3dqrwRFmU62HEuwEuVXj47LZl818QOlsfbV6C6uppVq1bR2tqK1Wqls7NzwOMv7StQXV3NmjVryMjIIBQKfewxCyGEEFc6h8OBx+NBVVUMwyAUCtHW1jbawxJCCCFiJFguhBAjwG63s2TJElRV5cUXX4zVJe+L1Wrll7/8Jaqq8rnPfY67776blJSUkRusGBW6YdAe1mkN9/9v42INB7ZxauNrTFl1J3rxGgAM4O0znXy6JBmXZWIGzBPtK1BdXc2nPvWpuLK7L+0rEI1GsdvtzJgxg/T0dFpbW2lqahrw+h5s7EIIIcSVyO12k56eTn19PX/4wx/wer1YLBZmzpzJokWLCAQCNDU1xb0LUwghxjtN0wiHw0BX/ySbzYaiSEnNsUCC5UIIMUJcLhfLli2jrKyMvXv3snv3bnw+HzabjZkzZ3L27Fna2trw+Xzouo6u6/zmN7/hr//6r3s1+xRXHl9EpyWkEe//6RN/fAFfYx0n/vg8xj03xV5vDGj4ovqEDZYPpa8AQHNzM4qiJDRJT01NpaqqirVr12KxWFi2bBlr1qxJuAmwEEIIcSVLTU0lEonw4x//uFcT7draWt59912WLl3K6tWrqampkYC5EOKKFgqFCIVCVFVVUVdXh6ZpWK1WiouLyc/Px2azYTZLuHY0yd++EEKMIJvNhmEYHD16lGXLluFwOAiFQpw6darPEhDRaJS33nqLBx54QLJOr3ABzaAlpJPpMOGNDJ6ZHA11lWvRQgFUemYgVHnDZDnkFp8Il8vFrFmzOHToUNznLF26lL179wJddcc3b97Mhx9+yLe+9S0yMzOHa6hCCCEuE39EJ6gZBDUdRQGHScVhVrCZJuaC83DweDxEIhF+8YtfDBgE37lzJz6fj9tuu40zZ86M4AiFEGLkBINBPvjgA6qrq3u9fuDAAQ4ePMj8+fMpLCyUmvKjSGbSQggxgjRNY/v27Rw/fpzjx4/3eYyqqhQUFBAOh2lpaWHv3r184hOfkGD5FU434FBLkJsK3FR642/4aFYVjrf3rJftjw6tDMhE5nA4uOWWW+IOlpvNZiZPnszrr7/e4/W2tjb+67/+i29961skJycPx1CFEEJ8TIGoTr0/yqZ6Pw3+aOx1BShJsrA810mazYRVguYfW3p6Oo8//nhc2eKHDh1i8eLFOBwOAoHEergIIcRYFwwG2bdvH7W1tf0eYxgG+/btwzAMJk+ejMViGcERim4SLBdCiBEUCAQ4evRor9etVis2my1WA3nevHlYrVby8/Opra3ttWVVXHlMCvijBlHDIN1m4nxIi+s8q6pwpDXU67VAVMNhNg3HUK9YWVlZXH/99WzYsGHQYz/96U+zcePGPt9rbGzk3LlzEiwXYphomobX66W+vp6amhp0XY+r74AQ0JVNvrnBz/7m3s9WBnDSG+Gkt53bCt1MT7FKwPxjcDqdnDlzJqEm2O+++y7333+/BMuFEFec9vb2AQPlFztw4AC5ubkSLB8lEiwXQogRZBgG0Wi0x2uZmZk8+OCDfOtb3wLA7/fzxhtvxN6fPHkyxcXFhMNh2Yp1BbObFDwWlffO+vlEkZvXqzvpjDND/NKqLQUuC5JcnjiXy8XNN9+M2+3mzTff7HWtdnM6nZw6dWrALPS33nqLgoICnE7ncA1XiAmpo6ODHTt28M477+Dz+WKvd/8+EAjQ3t4ui1WiT1Hd4IOWIPubg6gKTEu2clWaDZOiYABhzeBQS4hKb5g/nO4k2ZZMoVuC5UPl8XhYt25dQufU1tZiMslivxDiyhIMBjl8+HDcxxuGwZkzZ5g+fbr0LxsF8jcuhBAjyGKx9JjAJycn8+CDD/LMM8/EOmFfqrq6mn/7t3+joqKi32PE+GdVYX6Gnc6Izh9Pd/KJyW7KUm2Y+miInuM04zB/dAtfkGGP/T7fZeZcoO8grxic2+3m+uuv5wc/+AEPPvgg06ZNY/LkycyaNSsW+A6Hw2zbtm3Azzlz5oxcr5dBNBolHA4TiUSk4Zugo6ODtWvX8sorr/QIlF8sFArxs5/9jPb29hEenRgP/FGdbQ0BylKsfLY0GY9F5bXqTl6o9LK20stbZzrJcJi4f2oSkz0W1td2SmmzBCiKgsPhwOVyYbPZUFUVr9eb8Of0t1gthBDjVTgcprm5OaFzKisrE9qZIy4fCZYLIcQIstvtrF69Ovbnu+66i+eff37QSb1hGPziF7+gpaVluIcoRknUUMhzmUm3mWgL67xU5cVhgi9MT+GWSS5W5DhZlefkUyVJzEyxEtK6Ju++qI5FVViV58SswDU5ThoDUSxqH1F2ERer1UpaWhrLly/nz/7sz3jooYfIzMyMlUOKZxKvafGV0RG9GYZBIBCgsbGRXbt2sXnzZrZu3crJkyfx+XxSbmOC0nWdvXv3xprqDuT06dO89tprMsEUvZz1RVmQYaM0xcr/HG9nd1OQsP7RQlxQM9hxLsDaSi/zM+wkWU3442i6PdHZbDZycnIoKCjA7/fT0tKCYRi4XC6WLl0qfXeEEBNaKBTC7/f3eO3kyZO89NJLVFZWDnieJIuMDinDIoQQIywnJwe3242iKFgsFs6dOxfXebqus379eu677z4px3IFUhXYdS7ATZNcrK/z0RjQKHBb2VDnI6IboIAvYtAe9qMZXQ1Bu+1sDFCe7eCBqUlsagiwPMeJ3Szr4ZeD3W6ns7OTTZs2oevxB0zS09NlG/kQRKNR2tra2L59e696tY2NjRw8eJBp06Yxbdo07HZ7P58irkRer5e33nor7uN37drFrbfeKkE6EWMYBu1hjUK3lZ+8/BanNr7GlFV3kjOvvNexmgGvnurgvpIkWkMaGQ6ZNvcnNTUVq9XKK6+8wqlTp3q8ZzKZWLBgAY888gjPPfdcXM+8NptNnnOFEFeUYDDYax6xa9cu2tra2LlzJyUlJX2eZzKZUBRJgBoNMpMWYoKLaDrtYY1jbSH2NgX4oDlIUyCKT7Johk1ycjJ/9md/xtKlS9m+fXtC5+7cuZOOjo5hGtmVKxQK0dHRwdGjR9m3bx8ffvghzc3NBAKBMbNabzcplCRb+d9THVyd7eCh6cmk2UxMS7ExPcXGvHQ7q/NdTE/puzTLjnMBdBQ6IzpJFrm9X05ut5u5c+cmdM6NN96Ix+MZphFdmXRdp7W1lY0bN/bb2E3XdY4ePcoHH3wgWcMTTHNzc0LlHDRN48iRI8M4IjHeGAYUJ1l5t66TE398gfbTJznxx+f7PV4HNtX7cZglUNGflJQUQqEQ//Ef/9ErUA5d1+Hu3bv51a9+xf33309qauqgn1leXi71eYUQVwy/3099fT3hcLhHL6PunZID7ZjMzs7GbJbF2tEgf+tCTGDtIY0tDX6OtIbQLokXZjtMrC5wk+MwYTXJA+vlpKoqkyZNwm6388QTTyR0bjQajZWCEIPTdZ3Ozk727NnTq0ZcRUUFTqeT+fPnk5mZOepZTIqiMDXZSpU3jM2ksumsn6qOng9PFhXKUm3cV5LExgtZBnaTym2FbnxRnXOBKJ8ocvNGTQfLcpzkO82SYX4Z2O121qxZwwsvvBDX8TabjalTpw7zqK48wWCQLVu2xLWAVV1dTWFhITk5OSMwMjEW1NfXJ3xOVVUVK1asGIbRiPFIVRWCmkFrSCca6lqQ6/61P/X+KBYJ3PZJURSSkpL4f//v/w2688rr9fK73/2Ou+66i6effrrf42w2G/PmzaO9vR2r1Sq9P4QQ41o0GqW6uppoNMrZs2cpLi7m0KFDcZ8/Y8YMLBbLMI5Q9Efu/EJMUG0hjd+eaOfDlt6BcoBzAY1nT7Rzoj1MWJMs88vNYrHgdDp7TC66s2gkm+by6ejoYN26df02U/H7/WzdupXTp0+PiTrI9gtNPl+q8vYIlCtAjsPEogw7ZSk2nGYV24X08rCus77Ox5HWEBhgUhTMisKLlV4OnA8SlMZkl0VGRkaPsh/9PbiqqsojjzzSo5GviE9ra2tC1+GhQ4cku1zE9HcPHSu7h8ToC2s6x9sS/5lR6xv954OxKC0tjS1btsRdoqz7Way/+6PNZuPhhx/mtdde4+233yYtLe2yjVUIIUZDMBiktrYWq9VKc3MzaWlpOByOuM7NzMyM+1hx+UlmuRATUGdE5/dVXjriKLXyRk0nX5iRQpZDAriXm9VqJSMjI7atPCsri+bmZjIyMvo9R1EUqb8aJ7/fz/vvvx9XM8Z9+/aRnp4e1/bg4eTX4H9PdcQWsFxmhXkZdqZ4LFhUlUpvGBT4Q00H/gtBcN3oakgWDGisq/NhUeHOyR7mZdp594yPXKeZIo/U/vy4nE4nNpuNzs5O3G43n/vc57DZbIRCIbZs2cKxY8dIT0/nC1/4AgUFBVKvPEGhUIijR48mdE5LSwvhcFh+Jk4Qg+0i6OseWlRUJLU+RYymG4T6yhAZhCw6983tdrNz586Eztm2bRvXX389r7zySuw1i8XC4sWLWbJkCa+//jpVVVUAo77jTwghPg6/309zczPt7e2xOea+fftYsmQJu3btGvDc9PR0Fi9eLP15RpEEy4WYgDrCGk1BLa5jDWB7g59bCt1SjuUyczqd3Hzzzfz0pz8FICkpiaSkpAHPmTVrFi6XaySGN+55vd6EStZUVFSwePHiUdvqFtUN9jUFiF6Yx+c5zazMc3KwOUih28LrVV7WFLp5+4yPllD/129Eh99XdXDnZA93F7vZfS5Apt2MU+qYD5mu67S0tMT+PXV2dvLUU08BXdftypUreeCBB7Db7YNew6Jvuq73Waf85MmTHDhwgPnz5/fZ/EjT4ruXDbeQphO+EIRTFHCZVQnSXmaZmZm43W46Ozv7fP/Se6iqqsyePXukhifGAQOGVJrMMYHKmVVUVLB+/XrC4TDvvPPOgMeaTKaE++icOHGC9957D8MwMAwj9nPyxIkT/PrXv+6xE+Qb3/hGXFnrkUgEq9XK6tWrufHGGxMajxBCDGTTpk0J72JUVZU5c+ZQUVFBdnY2hmHQ3NxMZmYmTU1N7N27l8WLF8fmEhdLSkqipKQEp9NJa2trwv3NLmWz2Vi5cuXH+oyJSoLlQkwwYU1nR+PA9RkvdawtzLV5BlZJlLzs8vPzB5z8X+rWW2+V7VhxCIfDVFRUJHROXV0dc+bMGbVguT+qc/B818NYht3E8lwnL1d1cFuRmzdPd5LpMFPdERkwUN7NAN6p7WTNJDfzMx0ENV2C5UOk6zp1dXX8+7//e58Py16vlzfeeIO9e/fy9a9/fRRGeGVQFKXPElS7du2ira2NnTt3Mm3aNKxWK5qmjZk6tr6ITltYY0eDn9O+KJpu4LKoLMy0My3ZhsusYJGF5ssiKSmJNWvW8Pvf/z6u4xctWiSLy8MoHA7HFqtMJtM4yQJWmOKxsCvB5+Aiz8SpF7t9+3ba29sB+m20/HG1trbGdVxbW1vcnxkIBNixYwff+MY3hjgqIYToLRQK4fV6EyoTOGXKFE6dOkV7ezv5+fkAVFZWsmTJElpaWujs7GTTpk2xxp3JycksX74cRVHw+XxUVVUxe/ZsDh48mFBj80tZLBZJ4vkYJFguxAQT1g3O+QcvS9FwYBunNr7GlFV3kjOvHG+4a0LksaiYVMmWu1ySk5P5+te/zuOPPz7oTfgTn/gEWVlZIzSy8U3TtISznQzDGNUs1ZBmENa7MqpW5jp5o6YDt0XFH9VpD+uszrfx5un4FlUA/FGDiG7wwfkgK3Odg58g+tTW1sa///u/Dxo0qK+v58knn+SRRx6RB9MhMJvNZGRk9Fo47P65qCgKS5YsIRQKYTKZcDqdNDY2jmrTI29Y45VTHdRfck9tD+tsqPPzXp2f24rcTE22YpOA+cemqipLlizh5MmTHDx4cMBj8/Pzueuuu2T78jAIBAJ4vV6OHDkSm8S73W7KyspITk7G4XCM2V0VTouKPayQ5Yg/+6PIbcFuGpvfz3AoLy+PZZYP9vN1KJnlZrMZq9VKKBRC1/UBewp4PJ64nsu6M8uXLVuW0FiuZIZhoOt6vwvRQoj4RSIR/H5/3GX/CgsL2bZtG7qu43a7ga7a5RUVFSxbtoxdu3YRiURYuHAh+/fvZ/bs2WzZsgXoetYpLy/nzJkzcS8s9iUUCuF0yvzv45BguRATUDzVGk/88QV8jXWc+OPz5MwrJ6Qb/LKilftKksh3WTBLwPyyUFWV/Px8vvOd7/DrX/+aurq6Xse4XC7uvvtu5s6dKze9CSDNZsIfNfBHDZZl2znQHERVupp8BhOstXqsLYzHYorrmhe9aZrGrl274s6uq6mpoaWlRYLlQ2A2m5k2bRrV1dWx12w2GzabDZ/PRyQS6bUVNScnh0gkgqZpI14jvjOisbbSS/MAJc104PWaTu6a7GFqslXum5eBx+PhwQcfpKCggPXr1/cqtWU2m1m2bBm33norKSkpozPIK5RhGHR0dLBp0yb8fn+P90KhEJs3b8Zut7Ny5UqSkpLGbIDOY1G5NtfF2jiOtaiwOt+FyzJxtlbOnDmT5ORkOjo6mDdv3oDHZmZm8t577w26eNV97MqVKykuLqampoZwOExycjJOp5Ndu3Zx4MCBHoHxGTNmcOutt9LQ0DDoZx84cACPx0NeXt6gx17pAoEAfr+fysrK2OJyUVERqamp2Gw26acixBDZbLa4FuTMZjOhUCj28+zcuXPk5OTQ0NBAU1MTmqZRXl5Oa2srLpcrVmLQbrdTXFxMVlYWNpuN9PR00tPThzzeHTt2DPlc0UWC5UIMI8MwYpkT0LUVZjSz4AAsqkKKzUR7eOAagNFQoMevJkUhasALlV4+Py2ZbOfE2ZI63EwmEwUFBXzjG9/A6/Wyc+dOzp8/j8PhYP78+eTl5ZGUlCQPuAkwmUwkJSUlVLNcVdXYdrjLJZE6d2ULl6IAs9NsHDjfNe58l5kNdRoOs0JgCE3J/FGddLuJD8+HaDhxhKbGxrjPlRp3XSVWNmzYkNA5b7/9Np/73OekXNIQ2O32WD1Hi8XCsmXL+OUvfwnQZ/ZhQ0MDjY2NLF++nMzMzBH7GWkYBkdbwwMGyi/2h9Md/OnMVJKkltll4fF4WLNmTSzzqrq6Gk3TyM/Pp7S0FLfbPU5Kgowvfr+f9vZ25s+fj67rNDc3U11d3WNXXDAYZMOGDaxevZrk5ORRHG3/nBYVT1THblYZ6AnBblL4ZHESyVZZ5OpPS0sL119//aDB8pUrVzJt2jTefvvtXmWUbDYbS5cu5atf/Sq//vWvY7sV1qxZ87HKD0w0mqbR2trKzp078fl8Pd6rra3FYrEwZ84cCgoKpCm2EMPIZDLFSlkBnDp1iqVLl8YC5S0tLWzatIn09HRmzpyJzWZDURTC4TDV1dU4nc6ESr6I4SPBciGGQTQaJRQKcfbsWU6cOEEgEEBVVTIyMpg5cyZut/uybA0eSsMJm83GwrL51CSwa7LIbaG2s+uHtm7Au2c6WWrtoPrksYS+dl9jmejBuIt5PB48Hg/33HMPuq6P2ays8cBqtVJWVkZjAsHhSZMmXfYASygUor3TF2v8N5CGs3VM8eSSZFVpCWqkWFUsF7ayR3UDyyVZqWabg9CFX/tjVhUiukFrWCNJV2hqj6+Mi9WkMDbDHCMrFArF3U+gW3c2lwTL42MYBoFAAE3TMAyDJUuWsGXLFkpKSjh06NCgzd10XWfLli3cdNNNI5bR3xlJrPdHRIdaX4QyCZZfNmazmbS0NNLS0pg7d+5oD+eKFg6HCQQCHD9+nNraWiKRCCaTiZycHJYsWYLf7+fgwYOxazUajbJnzx6WL18+poJy+oUFN1VRSLOb6X7CspkUUqwqbReSSNLtJuan2yn0WPCYFWxmuW77o2kauq7ziU98gtdff73PY7oXM7sXPi8VCoXYtGkTx48f56GHHuLJJ5/kuuuuw2QyjZkGzmNddxPy7sapfYlEIuzdu5dgMEhpaaksKAoxjC5O3giFQhw9epSlS5eya9cuotGu0n3nz5/n/PnzPc6bO3cubrc74fJWYnhIsFyIyywSidDQ0MDOnTt7TPI1TSMYDOL1eolGo9jt9lhDpKFOJhIJxH2kk4LSAB6LmY5I/0GIiwNx8zPsvFv7UcCo1q9xbWYq5zv8cXWp74sE4wYmgfKPz+Px4HQ6e20X78+MGTOGZedHWDPoDEexDHKdHztVw5LyAsKKgoFBebYDk9q1DTyig8OsoNJV2gGg9Jb7ObXxVaasurPfz5zstnDSG8ZpVokYBiFl8El/JBTCbZXHA+idzdx9XQ50fUo2SHwMw8Dv91NbW8uxY8diu0BsNhvLly9H1/Vek4j+6LrO8ePHmTdv3mXfHdKXgGbQOcD9sy/7moIUe6zYzfKzXYwfwWCQo0ePcvz48R6va5pGXV0ddXV1ZGdnc/XVV7N9+/ZYcPP8+fOEQqFRD5YHozoBzaCiNcS5QFeAosBloTTZSndZdbOicNMkN109sBVMCmg6aLoOitwLB9PU1ERpaSmf+cxnePXVV3ssMHs8HmbPns1///d/D/o5DQ0N/PGPf+RrX/saR44cQdd1uZ/GKRAIsHnz5gHrv3c7fPgwubm5pKWljcDIhJh4IpEIqampPV5rbGxE13WuueYaGhoaOHXqVKxRvaqqFBQUUFpaOqSeW2L4yBOAEJeRpmk0Njb2qqvqcDhYuHAhXq+Xo0eP9niQTE1NZdasWaSmpiaciVhRUcGGjRsJhcMoxL9N9He//hVWi5WAZvRby1iPhFFMJnSfl7/44oOELgnIbzcpaJEwup54aQgDA5vVyvWrVnHjjTcmfL4Q8XA4HKxcuZINGzbEHkj6s2TJElwu17CNxWKzsWTFdYMe57JbULWuIHe+y0pYM5iVauPA+RDH28KUplg51tb1veTMKydnXnm/n2VSIMdp5v16P6vynGSlTiW1YMqgY9i1+T0wJJsLukpnKYoSm4BmZWXR3NxMRkZGv+ckJyfLYtcgDMOgra2N999/v9e1GQqFOHXqVMJBkurqambOnDkiwfJoHPe9S5tkBzSDIVRSEmLUhMPhPgPllzp37hyGYbB69Wp8Ph+KonDu3Dnq6+tHtX+DN6zx9plOKr09f5Ycawuzoc4Xe64N6waHWoJYFAWLSSHDZiLJZmJLfYBcp5mlWQ4cE3CRKxKJcODAgbiPLygo4OGHH8bn83HkyBFCoRALFizg/fffj91DvV5v7B7a17+NEydOEI1G2b17N8XFxezbty/usU5kzc3NsWzVeFRUVLBkyZJRLw0qxJVI13XMZjMul6tHSaTm5mY2bdpETk4OCxcu7JF93tDQgNlspq2tbRRGLPojwXIhLqNQKMSuXbt6vGa321m6dCl79uzpczt/a2srW7ZsISsri6VLlyYUMN++fTttQ+yS7Bv8EAACvg4CfRycWPGXvj7Xx44dO/jGN77xMT9JiP55PB5uuOEG9u/fT0NDQ6+sG4/Hw4IFC0hOTiYUCnH69Gna2tpQFIWMjAzS09NHrCGSqoDNZAZF57p8Fy1BjddrOrh7ShIHzoc43BLinmIPle1honEE3ZZkOQhrBipQ7LHQ2Bl/2QjRxel0Mn36dI4ePQpAUlLSoMGf66+/Ho/HMxLDG7d8Ph/vvfdevwEOj8dDZWVlQp85klmIJmXgxWmzAqffWUt7fS2N69fy2H1rCEYNTIpEy8X4EQwGBw2Unzx5kgMHDjB//nwmT57MoUOHCAQC5OXlkZeXRzgcHpVyD96wxrMn2mOlVS5lAJELi14WVeFoa5iLjzQrcHOhmypvhOPtIWan2VEHue6vJHa7PeHM4/b2dnbu3InL5aKgoICcnBxSU1OpqKiIHdPY2Eg4HKaxsbHfe+nu3bu55557OH36dEL30stR3nI86t79kYizZ88SDofHZLBcNww0w8CsKCgT6JoTV5ZAIMCsWbN6xYUMw6C+vp76+voer8+aNYu2tjbS09Pp6OgYNMlLjAwJlgtxGbW0tPSarC9cuJA9e/YQDoeZPn06aWlpmEwmIpEI9fX11NbWous6jY2N7N69myVLlsT9wFdeXs6GjRsJhyNYh7jVVVUUDLoy5bqn8SZFQVG6JhL9ZdDZTYnksvcUDoWwWi1xdZQW4uNQFAW3282yZcsIhUI0Njbi9/uxWCxkZWXhcDgwDIODBw9y+vTpHsH0EydOYDabKS0tpbS0dNgnYmkOK6d9UU62h7guz8XrNZ2EdTjeHuaaHAdbGwJsbQhwx2QPr9d0MFAViDlpNpKsKh0RnZV5DoKR+DOOxEecTie33npr3BNRk8nErFmzZII3gGg0SkVFxYCBbVVVh1ziayQ4zApWVSGsG0xymZmbYcdhUtEx8FhULKrC1nBXWZkOn59Kb4RJLgvNQZ1kK7gtqvwbEWOapmlxLVjt2rWLtrY2du7cydKlSykpKeHDDz+MlWgpKyujtLR0RMuxhDSd9XW+fgPll4rqBtNSrBxt+yg4ETXgDzWdfGKyh0PnAxR7rHgmSM8Bm832sUt0ZGRkxErxXPxc1f1zfaCf77W1tdxwww00NTWRl5eX0Ncd7bI/o6G7pFmi5ySSiT7cNN3AF9Vp8Ec53Boiqhs4zSrzMuwkW1Xclolx7YkrRygUIikpiRkzZgw6hygqKsJut7Nz507MZjPLly9HUZSE+9INl0BUJ6R1xYRURcFqApd5YjzHSrBciMugu6HnyZMne7yekpKC3+9n2rRp2O12Tp06xYkTJ9B1HYvFwqRJk1i+fDnnzp3j2LFjNDQ0EAgE4g7KzZw5k4y8SYQUU1wlHvqiKuBx2NnaEMBhVonoBo2BKO2DTDIenp5M0xAzVXdtfg+boZGZ7B7S+UIkymKxYLFYcLt7/pvz+/28//77/daH6w7stbW1sXjx4mENmFvMZjbXt7M630WlN0z4wkLV/uYgK3KdXJvnZGu9n12Gwb3FSRxvC3OoJUToogWtIo+Feel22sIab5/x4TIrfKY0mXpvYhMp8ZGcnByWL1/Oli1bBj32C1/4wqiWHRgPQqEQNTU1Ax4TDAbJzMwkPT2d559/Hp/Ph81mY/Hixfj9fgzDQNM0zp8/T3Nzc+y8kdgBAuA0qyzOtJPrsnAuEOX9s346IjprClw4TCrv1nbij3bdQ8O6wY5zAXYQIMNuYkWuk3SbiTS7aUJlqorxJZ7rFIgF3FRVZdq0aZjNZlasWEEwGKSyspIjR45gs9koLi4eseszEDU43hZ/Vl5EN7gqzd4jWA5d2efrazu5ocBNS0ibMMHylStXfuzPOHr0KGvXruWhhx5K+Fxd14lGo6xcuXJCBr8TZRjGkIJWYyXQFYjqHG0N8d5Zf4/nWYAPW0IkW1XuKPKQ5TBjMY2NMQsRD6/XS05ODunp6Rw5coTWS6oBJCUlUVpaiq7rsZJT0WiUzZs3c/311xOJREY1ccQf0WkKRtnS4OdM50eLa8lWlWXZDkqSrCRd4fdFCZYL8TEFAgGOHj1KUlJSry0zU6dO5YMPPmDt2rXMnj2bkpKS2HuRSISqqiqqqqqYOnUqCxYsYN++fRw9epTFixePSN1VAN0AEwbeiM6pjvi2sJckWQhHpaaxGD80TSMUChEOhzEMA5PJhMVi4cCBA3E1Uqmvr6empobS0tKE6lF39xUIhyO8+rtf93tc15xFwR/V2WhWCWg6F88ZNtK1VdyiKmiGwXN610KXWe2aOFw4nW26wW90o8e5G8xqXE2funXv/JCeAl3cbjef+MQncLlcvPvuu30+uNrtdj7/+c8zffr0MbmteSwJBAIDPvzbbDbS09Nxu90cO3YsllnTHRDozlY0m83k5ORQVlbGmTNn8Hq9I1buQTMMZqfbeanKS3Ow6164MMNGut3E8yfb+y2T1BzU+N9THdxS6MasQopNHsPF2DXYNvC8vLzYNRcKhdi2bVvsPZfLRUlJCdOmTWP//v3k5+fjdDqHdbzdKtvD/fbj6YsB+KI6Hovaq/G9L2qgGwZnfRpFnpEvJzMeeb1e1q5dSzQaTbgXE0B6ejqbN29m7ty5sQUY0T+z2Uxqairnzp1L6Jyx8PcajOrsawqyuaH/hI72sM7vTrTzQGkyeS7zoGXQhBhLOjo6cDqdLF26lEAgQCDQlWhot9vp7OzkxIkTeL3eHudomsbhw4eZNm3aqDX79EV03q3t7LWIDF3X5NtnfHgsAR6YmkSaffR/lgyXK/c7E2IEBAIBtm/fjt1up7CwMJY143A4KC4uJiMjg7Vr13L27Fl0XWfevHl9/tA7efIkpaWlTJs2jaqqKsLh8Ig+xHSGIqwpcPF8pZfB+pZZVYWVuU5afcGRGZwQH4Ou6/j9fk6ePMmZM2cIBoOxwPGqVauoq6uL+7OOHTvGpEmTEprwX9xXwO/r3bOgL/1tuhvqZryhnOf3IT0FLuLxeFizZg3Lly/n4MGD7Nu3j1AohNvt5tprr6WoqAiPxzMmJp9j3UBbv61WK8uWLePAgQO0t7cDxP5OI5FIr9qPTU1NqKpKaWkpixYtGpEsxEBUpyWk8e4ZXyxQDjA/w8H/nOg/UN7NAN4608lnSpNxmnWsponXOFCMD2azud/rNS8vj0mTJvW7Tdzn8/HBBx+QmZnJ4sWLaWpqoqioKOExbNq0KaGt6Pn5+ZxzTUr467SHNNx9BMuhqyFoaZKZ/fv399jJMhibzXZZsrTHm/b2dhoaGoCupnUFBQXU1tbGff7ixYt57rnn2LFjB3/7t3/7sUvCXOmsViszZ85MKFheXFw8Kr0ELtUa0gYMlHfTgRcrvXxpZsoVn8kqrjxOp5Pz58+ze/duLBYLiqIQiUQGTGSqr6/nqquuGsFRfiQQ1XnvrK/PQPnFOiI6z530cm+xh6NtYVJtJorclq5ShVfIs63M6oQYIk3TOHHiBKqqUlBQwAcffEBubi6TJ0/GYrFQWVnJ4cOHYxN+n8/HtGnTsFqt7N27t1fGzokTJ1i5cmWvUi4jIazpmKMR7i328Mqp/mshO8wK9xUnEQiF0RLIVBViNOi6TkdHB5FIhMLCQiZNmhSrhVxfX8+5c+cSyrgOBoP4fL6EguXx9hVQla76xxHdwGVW8UUT33bX33ldGekQ77cqPQX6ZrfbsdvtXHfddSxbtgxN0zCbzUPKnLvSxBvQUhSFsrKyft9fuHBhj0B5bm5ubCdHf9eqruscO3aMaDRKSkoKVVVVCY09kYBWSNM50hLEZTHREPgoiFiabKHOFyWkxXeR6QYcbglRnuVA5v1iLLJYLOTl5XH69Ok+35s6dWpcpamampqw2Wzk5OSgaVrCpVhCoRDtnT7CcV5b06/KgDgrsJhtDkIXflUVBb2fnzGBqI7TpHCytZ3z7fEteltNCsnxDeOKc+LEidjvN23axA033MDvfve7uM7NyMggFArh8/mArt1511xzzbCM80ri8XjweDxxZaGaTKbYvLWkpAS73T4q5W5Cms72c/GX8wzrBrWdEcrS5KYpRlZFRQUbNmwgEonw0ksvJXy+oihEo1E0LbFd+c8++2zCX+ti3U18r7/++oR2CvujOh+2xLdI3RHROd4e5qwvyvZzARRgeoqVVXkukm3j/1qVYLkQQ9Rdo/zqq69m69atGIYRm+h3Z1RcTNd19u7dS3JyMuXl5Wzfvr1XwPzs2bMUFhYmXEcuEgqxa/N7H+O76ZKdkcF9V83ibAheW7+Zw+/+L1NW3cnsZctZmOkg1aby4fkAk+xg00JUVFTQ3NqW8NeJhELYrPLjRwwfXdfx+XyEw2Ha29uprq7G7/ejKAppaWnMmjWLiooKTp48yYEDB5g/f36PMkn96ejoIDMzM+5xxNtXwGM1czpgsKUhwB1FbjbV++NuTgZdDXfvmeLh2ZPeXu+tyHFQ4IDOcHwPadJTYGCqqo5YOYHxIhQK4fV6B2za2c0wDCwWS69j3W43kUgkFiiHruunexLv8XgoLCyMNcW+VGVlJeXl5XR2dsadiWqxWBKqMe+PGnREDU56e+6smpNm5736xPoCHG4JMT/Djiehs4RIXKLZ2dAVUCsrK+szWD558mQqKyvjrqVaW1tLaWkpJ06c4MyZMwmN49ChQ4QMlbScPCyDBPRMJhMmp4ssk0o8e6pKb7mfUxtfZcqqO0m3m9jb1Pf3YzEpJJmhvtWLoQw++Y+EQrgn8DNuMPjRz8dz584RiURYtGgRe/bsGfA8u93OAw88wPPPPx97bd26dcyePVt6gQzC4XCwYsUKNm7cGCvz0BdVVVm8eDGHDh2isbGRkydPkpaWxrJly3r19BlugajBifb4ewsA7GgMUOSx4rJcGVmrYnzYvn07bW1tALGFvJFwub5WIjuFo7rB/ubEqgccbA5xfYGLms4IBnC0rSt4/pnS5HEfMJ+4d3IhLpLoRMLhcJCfn09ycjKtra1omsbcuXP54IMP+gyUX6y9vZ0DBw6wcOFCtm/f3uO92tpalixZwvHjx2lsbBx0HIcOHSJqQH7hZDA+fg3xtqZzbNl4joz0NKrffp722loa1q/lM7fdwN6mAE0XtpzvpyuLdc2c+SSfPEZtbWKTH5vVjFWatIhhous6Xq+Xjo4O9uzZ0ysoV1dXh6p2dfHetWsXbW1t7Ny5M65g+VANtqClqiprbrqJLQ0B9jQFWZLl4J3agR+SGg5s49TG15iy6k7uWXM9e5v6friZkmSlpvIER0/Et2tFFrPEUEQiEfx+/6AZapWVlRQVFfXaRVVSUkJlZSUABQUFlJaWcv78+dji8pIlSzCbzSxfvpzz589z5MiRXtnmVVVVTJkyhcOHDw863lAolNCih6YbfHg+SJbDzN6mnsEIh1mlJZjYPTikG7JDS4yIRBazLpaXl0dOTk6v59rc3Fw2b94MEOvRMFivhrNnz+JwODh//nxCYwgEAhgWOxabbdBG9h6riUNenanJFiwq/e6S7JYzr5yceeV4LCq6YRDoJ3u92GNFV1QWD/L1u+3a/N5leSYfr1JSUnr8+aWXXuLBBx8kLS2tR9b5xSZNmsS9997Lyy+/TFNTU+z1lpaWUW1wN5643W6uv/56jh07xqlTp3plsWZnZzN9+nROnDjRY47Z0tLChg0bWL16NS6Xa8TGG9WNhHoLALSH9H53gAgxXMrLy2OZ5YmWL1IUBU3TYo3pE/FxSyV1Z5YnslM4qOlxL2JdPA+9uXBNj/e8EZ3/re7g3uKkcb24JbNhIYADBw6wcePGQZsZdVNVNfZfd80pm83WZ8Dd7/fHfv31rz9q8Ge1WolGo70eAn/961/3yMoYTFlZGfNmX96aViVTp+L1dQUDWjt8rK/rHbTzRQ1eORPintIZ2E3Q3tba65jBSJd7MRwCgQCdnZ3s2LGj39INdrsdh8MRCx7EG0QYSnaT1aR0ZZkNNHnWNLzNTeS7XNT5otxQ4MKqdpVm6c+JP76Ar7GOE398nqmfupnt59p7HZPvMqMChfl5nDp+LK7xymKWGCqbzRbXQ3lGRgZnz56N3R9NJhMpKSkcPHiQGTNmYLPZeP/999F1ndzcXO655x6AWFPsgoICysvL2bFjR4976Llz55gzZw4ez+D52jt27KCqqor6+vq4vrfSq+Zy8LyJNZPcXFrtaKhTdwWoOHac2tM1Qzp/otZEFomLdzHrYvv372fFihUYhhGrh9y9nbz73rp06VL279/P/PnzB/yspqYmcnNzEwoWhEIhotEopjh7JiuKSmsoypGWEHPT7ezpZwH5Uosy7Rw833fCjFmB4iQLjR2J7RyZyKZNm4aiKLF/I7qu89vf/pZFixaRlpbGuXPncLlczJ07l+TkZGbPnk1KSgo///nPe9WET7Rsz0TncrmYM2cO06dPp6Ojg87OThRFwe1209jYyM6dO/ucqwaDQfbu3cuyZcvGRC3z/qjyaCpGwcyZM8nKykLTtIRLVHo8Ho4cOUJxcTE7duyI+zxVVVm9ejWKotDW1pZwoB26nnNNJhPp6elxn2MYEBmsgd0FF89DuWdNr/fr/VF8UV2C5UKMd9u3b6e1NfFg78UG2ypjGEaPY/o7PtEtN3V1dQnVoYrHKW84rh+UBvB6bYgvzZ0vDVfEmNDd0HP//v29AuUWiwWbzYamaWRkZCQ8IXA4HAmX37DZbHHXLW2oqeTGBUt5trKT7Q1+7itJ4vmT7fRXqjUa6lrQsmghtjT4ewXsbKrCilwnr1Z3cPcUD7npKQM2V+xr7ELEYyj1HFVVJRwOYzKZUFWV3/3ud0Sj0dgi9GBMJhMmk6nXIvfzzz8fVy+CcDiMYRiUTp9B9qTJgx5fqqj4o13Zpy6LSueFtNU0mwmLCtfkOGgN6dR0ROiM6j3qIffFqipYVIVgci4p2RFOHD8+6Bh6nD+BayKLoYl3Meti4XCYq666itLSUo4dO0ZbW1uP66ukpCSuXVm6rpOZmZnQ19+xYweNjY2cOrUL470NvPq7Xw94vKJAWO/KWHWYVSK6QXSQZ1mLqrBdgWA/N1qbSWHbAPXM+9Ld9+P6Vasu+/P5eOByuZg9ezYffPBBj9f37NkTK301b948HA4Hra2trF+/nqlTp/bZPLWwsHBMB2/HIrPZHGuMffDgQcLhcI/m9v1paGggHA6P2N+31aQMmhRyqWynGYtEzMU4Eo1GSU1NxTAMHA7HgGWSLjZp0iQqKytpbm5m2bJltLa2jsguG1VRcJhU/NHBg/Pd89BoKEB/FYT3NQW4ocCNeZxetxIsF4KPt72m+8Ei3qz0i12ajW42mzGZTHFP9BPdWhOPQFRnSxydyWPj0A3O+qISLBfDJpEySXPmzCEcDsceRhRFITc3lylTpqBpGsFgEFVVcblcVFdXJ5S1VFpaSiAQYOvWrQmNP5HsT90w+GxpMjsbfSgY3FucxOZ6P2f9vYPcpgtPJlHdoMrbM7iYZFG5pdDNe2f9tIZ1tjQEuG3ltdiukO7kYmwZrXqOfUn06586VcWsxeWD1kOO6DoW1cTxthCzUm00B6PMy7DjixhsbwgQ1g3sJoXrC7q2sYfu+gz73nqZKavu7PPz5qbbOOeP4MdEam4hrsYmWtp79xzocywTvCayGDmGYdDe3o7b7WbhwoUEg8FYIC4RDocjoYba3WpqavD5uppq+n3xNdeEeCqWx3dcYpXeP+L3JVYn9kricDj45Cc/SVVVFZ2dPf+fJSUlkZSURFNTE01NTdjtdr785S/32Hl7sVtvvVV6hAxRa2trjx4g8airq2P69OnDNKKeXGaVeRk2Dl3YCVLotqAZYGBgVhROd0Y4eD6IP/rRz42rsx3YzfIcK8aPQCBAYWEhe/fuZe7cuezcuXPQe6HNZqO0tJSNGzeiaRp79uxh/vz5sefsRCSygxIgNS2NspxSNjfGn8luUhTaQ30f3xjQOHmqmjNV8ZUCvdhY2D0pT9pC8NH2mkS2qN588800Nzdz5swZZs6c2W8AbaAGgsuXL2fLli2xP69YsYL3338/rq023fVWE9laE49AVKfOF3/2KcDOxgBFHgsOeYARwyCReqsWiyVW99hqtbJ06VLOnTvHrl27epy/fPlyqqqqcLvdeL3eQeutTpo0CZvNhqqqtLe3x52hnWgDQVVRyHKaWZ7jZv/5AEdbw8zPtLMi10mdL0JQM7CZFEqSrOw0Kfjp2uGRYu269lJtJman2wF4p7aT1lBXFsKJ9jCBqME477MixqihLDgritJjEcxqtWIYRr/Xuap+dH/pzq5RVRWTyRQ7R1GU2OcMpjuzfHLx1LjqITvsFiYHI5xoD3NtnovqDpU3ajoJXZKRWtEWxm1R+dQtq1lw9QoOt/YOt6nA3HQ7/3OsjbuLk1hXG+K2ZeW0+OMLzU30mshi5FitVjweD8ePH+fMmTNomsbixYtxuVwJLUyVlJTEnVF3saKiIk6dqsYArHE8n6uKgu9CnSSTomAzKSgK6EbXYrRC188J6LoOI7pB5JLayWa1K+NVu3C8SmKllrozyy93Mst4kpGRwWOPPcYTTzzRb536lJQUPvvZz/Lqq6/2GdTNysoiOzt7uId6RdI0jY6ODmDgeeilus8ZCSZVYUGGgwKXhWNtIc76FdJsJkwKtIY1IprOzZPcnOmMsLspSJrNRJpdHmLF+BOJRPB4PNTX17N48WL27NnTb5Z4d7PeXbt2xeJB3b0bVFVNOLs8Go0SjERpao9vsbmpvZPrS2eypTE86H2vewel2+UcsCloIBSO++t3Gyu7JyVYLsQFFosl7uyF7uaAhmFQXFxMNBrtN7s83gaC+fn5sVIw8WS7Op3OQQN8Q3FpLdZ4dIT1Qbe6CvFxxFtv1TAMQqEQZrOZZcuWcfDgwT4nYYqioOt6bCvw8uXLMZvNvYLg3av7drud48ePU1ZWRlFREcfjKJmQaAPBbt6wxqZ6H3azijei8/5ZPyYFsh1dtcTzXWb2NwfxX7hYVWBhpgOFroYqG2p9dF5yIRtAUzBKikTLxTBItJ5jeno6Gzdu7BEYX7BgASdOnOgxWXc4HJSUlJCWlkZLS0tsR1V6ejptbW1UVlayYMGCWLPBsrIy0tLS4grK7dixg8rKSkwOd1zfY0cowqJMO0lWlRNtITY39P81OiM6r1V3cFuRG39U51THR9+nAtxc6KY9pGExqZzxRXBYFKKGgnohqCfEWGCxWHA4HL2u1ZMnTzJ16lQOHjwY1+fY7XbsdvuQguVZWVnkFhWTVzx10AUtgGS7hYMtEUpTbDQHNQ40B5mdbiMQ0XFaVArdFqK6gUlVMKsKwQv3SgMFs9JVdsWqKhxpC3GsNcwtRW4sGDT54u8ltGvze9gMjczk+H62XIkURSE7O5vHHnuMpqYm3nrrLRoaGjAMg6ysLK6++mrMZjMvvvhirB7+xVJTU/n6179OcvJYCJeMH8FgEE3T0DQttiiUSCP7kawRH4zqVHnDOM0qkz1WDpwPst0fRTcgyaoyO92ORVXIdJi4NtfJjFQbbos8w4rxp6Ojg2nTpnHo0CFOnz4da1R/6tQp/H4/iqKQkpJCSUkJ6enpHD58uFcW+YkTJygpKem1WyceumKiMxwddAclQFZ6GkFdYXmuk831A1caKL3lfuref4077/s0Z/ppcp9mVfA2+wkp8V+7Y2n35NgYhRCjzGazJZT9mZKSQl1dHUlJSdjtdurq6sjPz+fUqVO9ju2vgWD3ZB8gLy+PkpISDh06lHCm+GWvK3yhpNRg9VYvZlLpt1aVEB/XxfWQB8taffnll4lEIqiqyjPPPNPvLo1nn30WTdNiK/SvvPIKZrMZwzDQdR1FUWITje6Jh8ViQdM0rFZrXCv73YG966+/PqG6pXW+KC0hjRnOj27RmkGsFEuK1UTgom2pYd3oswnvpYJRicKJ0We1Wmlpael1TzSbzT2aW2dlZTFjxgyOHDnCoUOHen1OWloa8+fPj5WEsFgsFBQU9JvF2JdE6iFDV9aqAbGFqsFsBBxmNXa8SVGwmhQ26wYmpevafevCZ76ggIn4Mlgnek1kMTKSkpJ4//33e12rra2tTJ8+naysLBobGwf8DFVVWbZs2ZAm+EPREYxwTa6TV6s7qb9wz+wI68zLsLOrMcC2hgDdV68KTEuxck2OEwU40hriVEeEqG7gNKssze56/q0PaKRYTXSGZTdHolJSUkhJSaGgoCCWUGQ2m/H5fLz66qs0NTX1ON5ms3H11VezevVq0tLSRmPI4053icFz585x7NgxAoEAycnJzJo1C+h/HtqXkcrkNwyDOl+UNLuJP57upD3c857aFtbZXN+VKHLzJDd5LhNJErUSoywUCiXUpPNiqqqyZMkSAD744AMsFgtlZWUcOHCAN954g9tvv53k5GT27NnT53Ps+fPnycjIYPfu3QmNt1s8OygBMlx2XqjqYGGmg+U5zgFL8y5ZvpJrP3UzFa0hzvTTUHtBpoN2dwkZRYP3Nuk2lnZPyo8dIWBI9ZD27NnD7t27KS8vp6ioiEgk0mewvD8lJSU0NDSwatUqPB4PdrudnJychMdxudlMCha1a7Xw1MZX+623erEClxnbOG3cIMa+sVQPeSgSqVvqi+hsa/DTFNRYlW9GoXfwLKTr2EyJX29DOUeIRMQzkViwYAGnT5/u9bqmabGSKmlpaZSWlrJ161aOHTvW5xbylpYWtm3bxjXXXENOTg5Tp05l+/bttLS0xD3WodZDTsSl04f4O4IMbCLXRBbDz2az0djY2G+/kN27d7Ns2TJsNhtnzpzp8xi73c6yZcuIRCJxBeouh2SHjXfP+GKB8oUZdpJtJn5zvO/azdOSrdR0hGkIaER1g7BmcD6kARo1nRFsJoUbC1y4bFY6w4lnxosuDocDh+Oj5BuXy8Wf/MmfcPfdd9PU1EQoFMLlcpGenk5SUtKQ6uJPRNFolKamJrZt24amaeTm5jJ79myi0SgmkwmXyxX3Z1ksFlJSUoZvsBfxRXQsqsJr1R29dkJeTDPgD6c7uXOyh7awjsuiSM1yMSoSqUDQn927d+PxeCgvLycUCmEYBi+99BJnz57lueeeQ9f1fpOxdF2P9baLl9Pp7EoEi/N4i6rQETHwRw021/uZk2bj/qlJVHkjVLSG8Ed1zKrCZLeFq9JteMM6ayvbuWtyEnv6CJbnOM1gGON6x6TciYQYIrPZjK7rbN26lZKSEqZNm0ZJSUmsXnK37lIpF5dMycrKIiMjg7y8vDHX5d1lVpmbbicyr5yceeVxnbMky4lFGgeKYZJoPWRVVYlGo4PWFbdarUSj0biyxC0WC7quo2kadrs9oczyROqW6oZB84WtbCfbw0xLtnKsvWd5pzMd0VgTwXipCiRLE14xjOKdSLhcrj7rokYiEbKzs6mpqeGqq66KTf4H2kKu6zrbtm3jhhtuYNeuXbS3t8c9kXA6nUyZMoXKyqqE6iH7o3pC9YtVBWwmleBF5yl8lHHuNKsENR2rqsRdG1lqIovh5nA4OHDgQL/va5rG9u3bmT59Otdeey319fWcP38eTdNwOBxMnToVu91OR0fHiAXKFUBRVSovlD3KdpjIdZl5o6b3QpjHonLHZE9Xhqs/SkTvaiq4MNNOktXEhy1BjrWFCWkGb9R0cvdkDx6riQ7JLr9susvzZGRkjPZQxiVd12lubmbz5s2oqsrSpUvxer3s2bOHcDhMWlpaQs06y8rKLv9u5X74NYNDLcEBA+UXW1/n477iJI62hpiZZpNm9WJEJVqBYDDRaDRWPrC7VKjf70fXdZKSkmLP0n6/H6+3q/F792JjohUI6uvrCRnxXS8Oi4l9LR8tkH/QEuLDlhDFSRauyXFiNylEDYN6f7RHz56OiI7TrPRoxuuxqNxe6KbFN74XmSVYLsQQBAKBHtsDKysrqampYfny5SiKwsmTH3X8Xbp0Kfv372f+/PkA5ObmsmjRoh4ZFmOJWVVYmOngQHOQeKo2FLjMuC3y0CKGT6INeNesWcOBAwcGzTA1mUwoisLvf/97rrrqqj5rOaqqyuzZswkGgxw7dgxVVbnhhht46623Bm3EO5QmvAYfBcs+OB/inmIPDYFojy2qnVEdwzBIZDPHtGQrvqiG3PbFcEhkImE2m2MljqDrnjht2jSam5spLCyks7OT1tbW2GLXYFvINU3j9OnTQ9qyP2XKFPIml5CWkxdXLcfrrr2WF87EF/hrOLCNUxtfo3jVnTxy9028fOqjBYIFGXZ8UZ3azgh3T0nivbM+VqarrH/vvbg+u7ue40SuiSzid3Eps5deeimucy5twDuY7vupyWRC0zQMw4gliRiGEVfT3Ut1N+GdOqOMvOKpgx7vtpo5eP6j7LYFmQ629rGFPMdpZlWek/V1Phr8PRfVD7eGsKoKi7PsFBW4eKe2azfb6zUdPDQ9mQ7JLhdjRDAYZOfOnQAsXryY06dPU19fH3u/paWFvLy8uLL0p0yZQlFR0YjVLNcMgyN9NL++WPc9dMqqO8mZV05HRKPSGybHZSHHKfNOMXKGUoFgIOFwmIyMDJqbm2Ovmc1mVqxYQUdHRyyhJCcnB4/Hw+nTp8nJyaGoqIji4uKEvlZFRQU7Nm4ktP4dXvzVkwMeazab0VRTrz50G/o5Xo+EiYYCbHI4McyWWAZ5d5PsdwwDLRJGTzC13MDAZrWOiVKDMmsWIkHhcJh9+/ZRWFiI3W6P1ViNRqO89957zJw5k5UrV3L69Glqa2spKSmhtLSU3NxcZsyYgcvlwm63j/J3MbAki8qnpybzwsn2AQPmmXYTd0724JJguRhmiWx/624iNRhN03juuedobW3FMAxuvPFGGhoa0DQNm81GYWEheXl5HDlyhNraWqCrEW93xvhghtKEV1UUkq0q7WGdsG7wZk0ntxa52drg50znR5P6PU1BbKpKPNN2u0lhfoYdbQjNe4WIRyITiVAoRFJSEq2trUyePJmMjAw2b96MruvMnTuX6dOnx904sFtVVRU33njjkLbItnf6CGtGXPURlQQCfif++AK+xjpO/PF5tLtuir2ealMpTbbyYqWX1QUu6nwRij0WztVWY4uzRqPN2tXsV4h4jPdSZtVVJ5l/zeA/Y0wmlTO+rgCczaTgMCm0hnre+FJtKtfmOnm5qoNQPxP4sG6wtSHAnDQbq/KcbDzrJ2p09RNxm9VYU1AhRpPX6yUUCpGXl4fX6+0RKO926NCh2OK0qvaeqyUlJVFaWkpaWhqRSGRE5qeabtAR1gdNyLr4Hpozr5zDLSHyXGa2N/i5tcgt2eVi3LJarVx11VW89957PZJHundUXsxkMsWelYdi+/bttLW2fqzxDsbf2XO3aAj4uE8aAZ9vTJQalGC5EAkKh8PU1dURiUSYMWNGr22qFRUVHD9+nIKCAhYtWoTJZELXdVwu17hpVmNSFfKcZr4wI4Ut9X6OtYW5eGrgNCssyXIwK82GRzqTi2GW6PY3VVVxOp20xvFw0N1wqr29neLiYpKTk2N1k+vq6khJSYkFyqEr+wZIaDyJbGt1mRUWZzlYdyGbzRvR+d9THSzJcnB1tpPj7WFaQtqFWuZdM42BQmYus8LtRR42nfVx55TLt4VQiKGy2WyUlZVRUVFBdnZ2LDMOuib2N9xwQ8IBvVAoFFdppL7GkpzA8SZDw2FWejTY7U801LWUpYeDtIS6Jj+5TjPX5jl5o7qTJdkOgppBKKozL8XEwaONCWeKj9SWeTG+JVrKDLruoxc33I2HoihYLJbYfdVqtcZ+rygKNpstoeu0O7N8cvFUIqFQV9OvASxaMB9N7ypRlmk3UefrXYrtmhwnb53pJKQbvTJXL/VBS4jbCt2kWFXawjr7moPMN7Wz/4MPBhxHJBTCZpUptojfpk2bEtrJkZ+fH9s9OXnyZPbs2dPvsd27skwmEytXriQYDGKz2bBYLHi9Xk6cOEFnZycrVqzA7/fzwSD/vi+2bt06jhw5EvfxABarFc1QCA6SwRHydj3D+5rOsvEHX2azqmBSIKQZ/MasEA2HBzx/MFarlRtuuIFHHnnkY32OEEORnJxMcXFxLKkqGo32uWNZ0zQqKytpb2+nvLw84coEK1euZN26dbF78UAURUE1Wwho8SWGhLytYBgoqkpyaleMSzcMNB2ihoHDpKBFhnadWq1WVqxYMaRzLye5kwuRoO5GRo2NjWRlZTF9+nSOHTvW4xhN06ipqaGmpgaA+fPnj1iH8cvFpCqk283cUujmujyDjohORDdwmFVcZgWXRUVVJLNNDL+hbH87f/48dXV1cR+vqiotLS3s37+/x+sXZ6jPmzePc+fOMW3atGHbFqYoClOTrLyn+GJZN0HNYFO9H5MCJUlWMu1dC1Td7zvNKuXZDj44H8R34cUMu4n5GXYKXGa2NvgpcFtxSVMkMUakpqYyffr0XovNmqaNaOZroj9bdMNgsR5gU338bTqtqoIvonFvcRLesMa+piA3TnJx1hdlc72fz5Ymk+a2sGrVqkSHL0RcukuZaZoWd517t9tNTU0N1dXVcX+d6dOn98hwveaaa9i6dWvs/eTkZBYtWhTLch/Mjh07qKysxGJ34LaaB939EQ34cVu6GgGaVaXXVnKnWcGsKLGyZpdmrvZlX3OQeRl23jvrpyOi43BaB90BIjs/RKJCoRBerzfu+v6ZmZmEw2EcDgfRaHTAQNjFOxw3bdqExWJhzpw5NDU1MWXKFFRVRdM0qqqqmDx5MpFIJFYneTAVFRV99iC5rAyDUHsLFy8lxL+sMLDNmzdLsFyMCpvNxlVXXRX3AnJzczPHjh1j9uzZCZVLeuSRRxL6N+4Nazx9rG3QpBAF2Pr3X8Hbch53cio3/92TsTjRjBQbBW4z6TYVzzhfOB7foxdihOm63qMO8qFDh5g5cybl5eVUVlbS2NgYe09RFHJycigpKcFsNo+5Rp7xsppUrCZItkkGuRg/nE4nLpcr7sCb2Wzu1ZzXarWiaRoej4eysjKam5tJT08f9n4DHovKPcVJvFjp7dHsTzPg+EXNPrsDAWHdoMEfZVW+C7tJxcCgPaRzoDnIB+dhfoadqclWTIkUORdiGDmdTjo6OggEehcSCoVCOByOPt/rj9Vq7XOL+eWmKgplqTZ2nAsQjrMGo6rCVWl2AlGDVJuJjojO22c68UcNUqwqKTZZxBJjj8/no6SkJO5gefcz7/HjxwHweDy9MtPb29uJRqOoqhp3gMBsNmO3xFef39/azLzSPGp9UYKagfOSBeIZKTYOXdS8rHv3R/evfan3R1mZ21XeyawoWFQl7h0gsvNDJCISicTdmycSiWAymXA6nYMGti/tnRWJRGhrayMcDrNt2zbKy8vZt28ftbW1FBcXM2XKFPbt2zfoGEKhEIWFhZw6dYqB9zj2ZLPbAAXfIOWMurNWURRsSak4zCpR3SCiGzhNCuEEMvH7Ik2yxWjTdT3WnyceVVVVTJs2bUglB+PltqjcPMnNK6f6XwRTFbijyMPmC4/BYd2g7cIitC+qsaXBjwrcUOBiZqqKYxwna0mwXIgEKZdkU1dUVGC32ykuLmbGjBmxCYCqqpw7d45du3bFHlCEECPD4XCwfPly1q9fH/eDSHdH8m4lJSU4HA6mTZvGsWPHcLlc5OTkDMdwezCpCtkOE/cVJ/FuXWevmqvQFVC3m1RCQEQ3ONUR4VRH74wkl1lhsseKW8oliTHEMIwLE+zeqqurKS4u5vDhw3F/Xmlp6Yj1Akmyqtw/NYnnTrYTGWCu3702FYjq/OZ4e5/H3FjglmtTjJhQKMSOHTviPn769OnMnDmTioqKfo85efIkBw4c4J577qGqqiq2G6ukpKTXAjQQu5cePXo0rvEWFxeTnp4e924ub1jD1hDmnD/KdXk9Awpui8rpzvgydy8W0Q0UYJLbzKTcFIoLchP+DCEGcnET3kSSq7oXn+J5zt2yZQtbtmwBuhahDMNA0zSeeuqpWPmk3/3ud3EvZnVns5eVlXHTTTcNcvRH5i1eynnDypHWcI8EkEtt/tGj+BrrcGXmccP3fsLnpyfzx9Od1PmifKbIypG9O/s9N16yoCVGWvc9UlEUzp8/n9C50WiUlpaWYQ2Wq4rCZI+F2wrd/OF0Z5/H3JDv4lBLiMgASSM6xBpkX5VmwzpOewxIsFyIBKiqSlpaWo8axtDVkXygmm0ej2e4hyaEuITH4+GGG25g+/btvQLh0FW/0Wzuug1euoVVURQKCwvZsGEDmqZRUlLCzJkzRywg57KYyHUq3DzJTVgzqPRGCGo6VlNX8NswDN6xdo3FbOs/092sKozjBX1xhdJ1vd/t5k1NTZSVlWEymfqs33gpVVUpKioakcxy6JpIZDvNfH5aCu/X+znZHu6xA8SswKw0GztNXQ14+5tL3FropsAtj+FiZCTSJLvbyZMnmT17NnPmzOHIkSN9BuR2795Na2srL7/8Mvfeey/QVcLF5XL1WW6lvb2dvLy8uLaRD6VJtsuics8UD8+f9HK6I0KRx0LNhYVkg48WsaDr3hli4HsocKFHCCzJcmIZpxN+MbaNlSa8Q/nadXV1CZUm1AwDrzfM0mwHpzrC/S46l95yP6c2vsqUVXdydY6DlqCG06wyI8VKZrJ72MohCnG5RSIRwuEwDQ0NNDU1YRgG+fn5cZcku1hbWxsFBQWXf5AXsZlUpqdYyXelcvB8gP3NodhuyjynGY9F5aQ3vlrk79b6KE6yYh2neSHylC5EggoKCvjwww971DIeiNPpHPayDUKI3lRVJSkpieXLl9PR0UFtbS2BQABVVUlPTyclJYXf/OY3fZ47f/58NE1j9uzZ5ObmYrVaE560f1wOi0qOaiYYNdCBVKvKjnNB1td24osaTFnz6dhEoj+TXBZsUn5FjDGKosQWqvpy5MgRlixZws6dO2PXXV/Xn6IoXH311SN+jzUpCnaTSpbdxMLMJNrDOhHNINmqkmIzoQD/43TQer5nIM6kwMwUG0uzHSRb1XGbaSPGl0SbZF/s7NmzZGZmct1119HR0UFNTU0s+zU/P5/nnnsO+CjI5na7WbhwYY/GvRfTdR2bzUZ6enpC44+XSelqUP/A1CTeOt3JTYVuGvxRQppBW0gj026mMdC1CHdxMK4/Cl2LzoUuM26LXK9ieHQ34Q2Hw712MPenu2GuqqqxZrh9iUajRCIRLBZL7L5rs9l6NBQ1mUwoioLJZMIwjLiaARqGgdVqTbiUiUlRSLWZePtMJ3dM9vB6dWefZc1y5pWTM6+c8mwHUQM21vuZn26n0GORe6cYNwKBAIcPH6a6urrHjo1QKERyciIt5keW1aSSZoKVuS4WZjpiiR8q8HpN/H0KDKCiNcTSbMe47HX3sYLl77//Pk8//TRHjhwhHA4zZcoU7rnnHj7zmc8MKcNn//79PPnkk+zfvx+/309BQQG33XYbX/rSlwZ8UKqsrOSnP/0pO3fupL29nezsbG688UYeeeSRIT8cCtEfm81GQUFBrNHnYMrKykYsG1UI0ZvJZOLgwYO43W4mTZqEw+Hg6NGjfPDBB7FJSXcgzmazMWfOHFpaWkhPT2fq1KmjOXRsJhWbCTxWlWBUx21VYk08uycSA1mS5ZBMODHmqKrK5MmT+72PNjU1YbFYuPrqq6mrq2Pr1q29ypklJSWxcOFCUlNTE2p2dLmYVaj1Rdl6LoDT3FXLOKQZ5LnMzEmzc8unP8f6V1/ijns/xdLSZEwqaDp4LApJNslVESNnKE2y++L1emMNyRobGzl69GgsQNd970xKSmLXrl296pV3czqdZGVlMWnSpMsypr5YTCoFbgsPlCbTFtK4rziJV6s7ONoW4q7JSRxu7QoSxnMPnZJkoTkY5ROTPbgkWC6GycyZM8nPz4+7wSdAXl4e06ZNo7Ozk87Ozli/gEs9++yzsV4gDz74IJMnT0ZVVaqqqmLHuFwuZsyYQXJyMpWVlf2WSbuUxWIZUqxFM6CmM0pED/DJYg9V3ggftARjTQVVBaYnW5mVZqe6I8z2cwHMCkxyW0ixynUoxodAIMD27dtpbm7u9Z7f7x/SfTA1NfVyDC1uJlUh6aK08LaQxhlf/HXWAfY3B5mdbhuXZQeH/LT+5JNP8vjjjwMwadIknE4nR48e5Yc//CHbtm3jv/7rvxIKmL/22mt897vfRdM0srOzyc3N5cSJE/zkJz9h48aN/M///E+fmUM7duzgK1/5CsFgkLS0NEpLS6mqquJXv/oV7777Ls8//zwZGRlD/TaF6MVisTBv3jy8Xm+fpR0uNnnyZPLz8+POEhBCXH4mkwm73U5dXR11dXVkZmYydepUioqKaG1tZdOmTVx77bUsWbIEk8nEiRMnaG5uZvr06aM99BhVUXBaTCzIcHDgou1wAylyWyQTToxZycnJWK3WfjPYzp49i9fr5dZbb+VTn/oUTU1NRCIR7HY7eXl5OByOUV2ItptVrs5xUHMygj9qwIViLFXeCFXeCJ7JC7npL5YQVuCtM500BTVmpVpZMym+5oBCjDXJycm8++67eDweSkpKWLJkCZFIhNdee401a9ZQW1tLS0vLgJ8xY8aMEakTrCoKHqsJj9VEWNP5bGkS50M6wahBntPMWX98k/3ybCepNnVcTvLF+DGU3R+hUAiTyUQ0GqW4uJiWlpY+g3LdAfhIJEJKSgqTJk1i69atPY5RFAW3243FYontvkxk7Inq3vB41h/luZNeipMs3FTgxqyCcqFZaKU3zGvVHbHnXUUBu1mRrHIxLmiaRmVlZZ/XJEBnZ2fCuyLNZvOIB8svFY2zuf3F/FGdOAsyjDlDCpbv37+ff/u3f0NVVf7lX/6F22+/HYCjR4/yxS9+kQ0bNvD000/zxS9+Ma7Pq62t5Xvf+x6apvGd73yHL37xiyiKQl1dHV/84hf58MMP+Zd/+Re+//3v9zivs7OTb33rWwSDQf7kT/6Ev/zLv8RisdDa2spXv/pV9u3bx/e+9z1+/vOfD+XbFKJfDoeDlStXcuTIEaqrq3vVVbXZbMycOZPCwkJpHiLEKLNYLMycOZNz584BXVmrTU1NuFwu5s2bx+LFi4lEIhw6dAi/3w9AZmZmQk2WRkp3c8HnT3oHDJjnOEzcXuTGKcFyMUbZ7XYWLFgwYMPBzs5O9u/fj81m44YbbsDlco3gCAeXZjORZFHx9lF0tSOi03HJ60uznTLRF+OWw+HA4/HQ0dHBgQMHsNlsLFiwIFbOYbBAucViSSgId7lYTV0lj5Jt4Ito5DrdvFDppS08cBPDWya5yLKbsEnjDzHMPs7uD7vdzqlTp1i4cCFVVVVUVVX1mJd275x0uVzMnj2bnTt39mrgmZSUhNPppK2tjcWLFw95LPGyqAo2U9duLPhokXkgWQ4zVikrKMaJUCjEiRMnBjympqZmwJKEl5o2bdqoVytQhtD3wzyOr9sh3f1/9rOfYRgG9913XyxQDl3ZAt/97neBrszzeLcSPfXUU4TDYZYvX86XvvSlWBZufn4+//iP/wjA2rVre63MPP/887S0tFBSUsJf/dVfxW4GqampPP7445jNZt577z0OHz48lG9TiAE5HA7mzp3LzTffTHl5ObNmzeKqq65i5cqV3HjjjUydOnXUf6AJIbp4PJ5eK/g+n4+amhpOnjxJTU1NLFAOMGvWrDEZLFcVhRynmS/MSGFeuh3zJc8fSRaVmwpc3FuShGe8dlMRE4KqquTk5LBw4cIBj7NYLKxYsWJM9v7wWE18emoSdtPgE4HbCt2yfVyMa90LXN1CoRBer5eSkpJBz1UUheXLl4/6c7HLYiLVbuYzpckszLTT13pytsPEg1OTmJFqk0C5GPM8Hg9Tp04lGAwSiURYtWoVCxYsoKSkhOLiYj71qU9RUlLCmjVr2Lp1a5+7uWbMmMHJkyfxeDwjMmaXWWVBRmI/C67JceKQ61GME16vd9BYaG1tbdyVOHJycpg6deqINbPvj01VSLpw4yy95X6SC6dSesv9A54zxWPBFsdz8liUcGZ5Z2cn27ZtA4h1Pb/YzTffzA9+8APa2trYuXMny5cvH/DzDMPg3XffBeCTn/xkr/cXLFhAcXExVVVVrF+/nk9/+tOx97rPu/vuu3vVq8zLy6O8vJzNmzfz9ttvM2vWrMS+USHiYDabMZvNYy7bTQjRk8PhYMWKFWzYsIFodODt1zNmzCAlJWVkBjYE6oXmSKsLnJTnOAhEdTQdrCYFh0nBZVGl9JMYF6xWK4WFhWRmZnLy5ElOnToVy4hzOBxMnz6d/Px8nE7nmP03nWYz8flpKayr66Syj8y4NJuJGwtc5LnMklUuxr20tDSWLl3Krl27MAyDw4cPM3/+fGbNmsWxY8f6vL+6XC6WLl1KamrqqE/0u3msJlbluVia5aApoNER0TCrCtkOM06zKvXJxbjSfY9sbGykrq6O5cuXU19fD0BGRgZr1qwB6JVRDl1Z5cFgkMbGRmbOnDki4zWpCnPT7exuDBCNozxDkkUl0y4JIGL88Hq9gx5zcTNds9mMxWLpFWC3WCxMmzaNkpKSUV9sBnBZVJZlO3in1hdX3w8Y37sqEw6WHzlyhEgkgs1mo6ysrNf7FouF2bNns337dg4ePDhosPzs2bM0NTUB9JtdtGDBAqqqqjh48GAsWB6NRmMZ4xdnOVx63ubNmzl48GDc358QQogrU1JSEqtXr2bXrl20trb2er/7/jVp0qQxmVV+KYuqkmyFZMkgF+OYxWLBYrEwd+5cZsyYgaZpKIoS6zUwVoPk3RRFIdVu4hNFHgKaQU1HmI6wjtWkUOSx4rao0jtAXDEsFgv5+fncdNNNHD9+nJqaGvbv309BQQHl5eX4/X4aGhqIRqPY7XZKSkpwuVxjcmeI+ULjsiS5h4orgN1uZ/Hixbz//vvU1NSQlZU1aAzEbrczf/58du3axbJly0Y0GOexqNxXksQLlV4GKoPsNCt8eqrslhTjS7wLw92VMaxWKytWrCAcDtPW1oaiKCQnJ5OSkoLNZhuVRvZ9URSFqclWtp8L9Co12JfJHguecfwMnHCwvKamBoDc3Nx+a+xMmjSJ7du3x46N5/OsVitZWVn9ft7FxwLU1dXFVl766yTb13lCCCEmJlVVSU5OZsWKFYRCIWpqavD5fJjNZvLz88fcA4kQE4nJZMLpdI72MIbMblaxmyF1kNqNQox3ZrOZ5ORk5s+fT1lZWSybvPsem5eXh6qqsWaBQojhpygKaWlpXHPNNWzfvp3i4mKWLl1KRUVFryxXRVHIz8+npKSEffv2MX/+/BFvHGhSFfJdFh6ansL6Wh81nT0zalUFZqZYWZHrIllKmIlxJt4dykuXLmX//v3Mnz8fn89HUVEReXl5wzu4jynJauL+qUk8d8JLZ7T/gHm+08xthe5xvVMr4WB5e3s70NURvT/d3Zzj2X7Q/XlJSUn9Zg/19Xnd5w00lu7zLj72Uk8//TRPP/30oOO82NmzZwGor6+noKAgoXOFEEIIIYQQQgghLjfDMNA0DU3TMJlMKIqCYXSlbyuKgqIosZJnZrN51HdwGYBhgG6AgdG1u0yBsb2vTIj+GYZBKBSKXXeDWb9+PU888cSoX4uJMICIbhDWDC7+LlWlq7a5SVX4q9EaXBxycnLYs2fPgMckHCzv7njevWWgL93b14PB4LB93sXNKfo7t/u87q/Rl87OTs6dOzfoOC/W/Y9e13Xq6uoSOlcIIYQQQgghhBBCCCHE2JNwsNxmswEM2N21O5AdT92roX7exfVku2uo93deX+91c7vdZGdnDzrOi508eRLDMDCbzf2WjhFCCCGEEEIIIYQQQggxNuTk5Ax6TMLB8u6SJwOVNukul9JdBiWez/N6vRiG0efWg74+7+LSK+3t7X0GrbvPG6hkzBe+8AW+8IUvDDpOIYQQQgghhBBCCCGEEFeuhKutFxUVAV31ursbulzqzJkzPY6N5/PC4TCNjY1xf15+fn6s/Er3+x9nHEIIIYQQQgghhBBCCCEmroSD5WVlZVgsFkKhEEeOHOn1fiQS4cMPPwRg7ty5g35eXl4emZmZAOzdu7fPY/bt29fr88xmM2VlZT3ej+c8IYQQQgghhBBCCCGEEOJSCQfL3W435eXlALz00ku93n/rrbfo7OwkJSWFJUuWDPp5iqJwww03APD73/++1/v79u2jqqoKi8XC9ddf3+O9G2+8EYBXXnkl1tG529mzZ9m+fTsAN910UxzfmRBCCCGEEEIIIYQQQoiJKuFgOcCf/dmfoSgKL774Im+88Ubs9aNHj/JP//RPAHzpS1/q0YTzmWee4frrr+db3/pWr8/74he/iMViYcuWLfzyl7/EMAwA6urq+Ou//msA7r333lgGercHHniA1NRUKisr+dGPfhRrEtra2spjjz1GNBpl5cqVXHXVVUP5NsUV7MyZM6xdu5a/+Zu/4Y477qCsrIzp06fz05/+dLSHJsSEZhgGe/bs4Z//+Z/51Kc+xaJFi7jqqqtYvnw5f/7nf86OHTtGe4hCTHjr1q3j+9//Pvfccw/Lly/nqquuYtGiRdx///38+te/jjVYF0KMDT/+8Y+ZPn26POsKMQZ897vfjV2P/f0XCoVGe5hCTGiaprF27Vo++9nPsnTpUmbPns2qVav46le/yrp160Z7eGIEJNzgE2DhwoU8+uij/Pu//zuPPfYY//7v/47T6eTEiRPous51113Hww8/3OOcjo4O6urqyM/P7/V5kyZN4oc//CF/9Vd/xb/8y7/wm9/8hvT0dE6cOEEkEmHWrFn8xV/8Ra/z3G43P/7xj/nKV77C//zP//CHP/yB3NxcqqqqCAQC5Ofn84//+I9D+RbFFe43v/kNv/nNb0Z7GEKIS+zYsYOHHnoIAFVVKSwsxOl0Ul1dzTvvvMM777zDI488wje/+c1RHacQE9lTTz3Fvn37sFqtZGVlMX36dJqamti/fz/79+/n1Vdf5Zlnnomr0bsQYnhVVlby1FNPjfYwhBCXmDx5MmlpaX2+pyjKCI9GCNGtvb2dL3/5yxw4cABFUZg8eTL5+fk0Njayfv16zGZzrDqGuHINKVgO8MgjjzBjxgyeeeYZDh8+THNzM9OmTeOee+7hs5/9LCaTKaHPu+uuuygsLOTJJ59k//79nDx5koKCAm6//Xb+9E//FJvN1ud55eXl/P73v+dnP/sZO3bs4Pjx42RnZ3PjjTfyyCOPkJycPNRvUVzBUlNTWbVqFbNnz2b27Nm89NJLvP3226M9LCEmPMMwKCoq4qGHHuK2226L/QwPh8M88cQT/PznP+dnP/sZc+fOZdWqVaM8WiEmpvvuu49vfvObLFiwINZsHeDAgQM8+uijHD58mB//+Mf87d/+7SiOUghhGAbf//73sVgsLFy4UHZnCTGGfOUrX+Gee+4Z7WEIIS6i6zqPPPIIBw4c4KabbuJ73/seOTk5sfcbGho4c+bMKI5QjBTF6K55IsQE9t3vfpdXXnmFRx99lK9+9aujPRwhJqzOzk7sdjtmc99ruX/6p3/Kpk2buP766/nZz342wqMTQgzmj3/8I9/85jfJyspi8+bNoz0cISa0F198kb/5m7/h//v//j8qKyvlWVeIMaB73vmjH/1IguVCjDHPPfccP/jBD1i6dCnPPPMMqjqkytXiCiD/54UQQowZbre730A5wDXXXANAdXX1CI1ICJGI4uJiAILB4CiPRIiJraWlhX/9139l6tSpsfJmQgghhOhfd6neRx99VALlE9yQy7AIIYQQI6274ZHdbh/lkQgh+nLgwAEAysrKRncgQkxw//iP/0hbWxv/+Z//2aNckhBibHj77bdZt24dnZ2dpKens2DBAu666y48Hs9oD02ICam6upqqqipSUlJYsGAB69at46233qKpqYm0tDSuvvpq7rzzTqxW62gPVYwACZYLIYQYFwzD4K233gJgwYIFozwaIUQ3TdNoampi/fr1PP744zidTh577LHRHpYQE9b27dt5/fXXueOOO1iyZMloD0cI0Yf33nuvx5/ffPNN/vM//5N//dd/ZeXKlaMzKCEmsMOHDwMwZcoUvvOd7/D666/3eP/NN9/kV7/6Fb/85S/Jz88fjSGKEST7CoQQQowLa9eu5ciRI1gsFj7/+c+P9nCEmPCeeeYZpk+fTllZGddeey1/93d/R3l5OS+88AJz5swZ7eEJMSGFQiH+9m//Fo/Hw1/+5V+O9nCEEJeYNGkS3/72t3n11VfZu3cv+/bt41e/+hVz586lvb2dr33ta3z44YejPUwhJpympiYADh06xOuvv859993Hhg0b+PDDD3nmmWeYNGkSVVVV/Pmf/zm6ro/yaMVwk2C5EEKIMe/w4cP8wz/8AwDf/OY3KSwsHOURCSGys7NZsGABc+bMISMjA4CdO3fyhz/8AU3TRnl0QkxMP/3pT6mpqeFb3/pW7LoUQowdX/va1/jKV77CjBkzcLvduFwurrnmGn77298yZ84cwuEw//qv/zrawxRiwvH7/QBEIhEWLVrED3/4Q/Lz87FarZSXl/PEE0+gKAqHDx/utTNEXHkkWC6EEGJMO3PmDF/5ylcIhULcfvvtfPGLXxztIQkhgFtuuYXnnnuOF198ka1bt7J27Vry8/P57//+b/7u7/5utIcnxIRTWVnJU089xaxZs3jggQdGezhCiARYrVYeffRRAHbt2kV7e/soj0iIicVms8V+/7nPfa7X+zNmzGDp0qUAbN68ecTGJUaHBMuFEEKMWU1NTTz88MM0NTVx3XXX8U//9E8oijLawxJC9GHu3Lk8+eSTWK1W1q5dS11d3WgPSYgJ5Qc/+AGapvGDH/wAVZVpnhDjzbx58wDQdZ0zZ86M7mCEmGCSkpJivy8uLu7zmJKSEgB5xp0ApMGnEEKIMamtrY2HH36Y06dPs2TJEv7jP/4Di8Uy2sMSQgwgOzubmTNncvDgQY4ePSoNkIQYQRUVFSiKwiOPPNLrvY6ODgB+8Ytf8Lvf/Y6cnBx+//vfj/QQhRADuPg5V8qZCTGypkyZEvu91Wrt85ju1+X6vPJJsFwIIcSY4/P5+PKXv8zx48eZPXs2P/vZz7Db7aM9LCFEHKLRKCATCSFGg6ZpNDc39/u+3+/H7/f32G4uhBgbTpw4Eft9Tk7OKI5EiImnrKwMm81GKBTizJkzFBUV9Tqme8dHdnb2SA9PjDDZnyeEEGJMCYfDfPWrX+XgwYOUlpbyy1/+ErfbPdrDEkLEoba2lmPHjgFdtR2FECNnz549HDt2rM//7r77bgAeffRRjh07xoYNG0Z5tEKISz399NNAVwkICcYJMbKcTifXXnstAK+88kqv95uamtiyZQsAy5YtG9GxiZEnwXIhhBBjhqZpfOtb32LHjh0UFhbyq1/9ipSUlNEelhDigkOHDvGTn/ykz1qqmzZt4k//9E+JRqNce+21FBYWjsIIhRBCiLFp69atPP74473uoR0dHfzwhz/kjTfeAOBrX/vaaAxPiAnva1/7GiaTiTfffLNHwNzr9fLd736XYDDIpEmTuPnmm0dxlGIkKIZhGKM9CCFG2t69e/nqV78a+7Pf7yccDuNwOHpsS/3f//1fcnNzR2OIQkxIb7zxBo899hgAkydPJi0trc/jMjMz+clPfjKSQxNCADt37uRzn/sc0HUdZmdnE4lEqK+vx+v1AjB79myefPLJfq9fIcTI++53v8srr7zCo48+2uMZWAgxctatWxcLhGdnZ5OVlUU0GuXkyZNEIhEUReFrX/saf/7nfz7KIxVi4nruuef4v//3/2IYBnl5eaSlpVFZWUkgECA1NZWnn36amTNnjvYwxTCTmuViQopGo7S1tfV6PRAIEAgEYn+WeqtCjKxwOBz7fXV1NdXV1X0eJ00DhRgdM2bM4Hvf+x7bt2/n5MmTVFVVEYlESElJYeXKldxyyy3ccccdmM3yiCmEEEJcbNasWfzZn/0ZBw4c4PTp05w4cQLDMMjOzmbRokU8+OCDzJ07d7SHKcSE9sADD8RKgR44cIBjx46RlZXFddddx1e+8hUpkTRBSGa5EEIIIYQQQgghhBBCiAlPapYLIYQQQgghhBBCCCGEmPAkWC6EEEIIIYQQQgghhBBiwpNguRBCCCGEEEIIIYQQQogJT4LlQgghhBBCCCGEEEIIISY8CZYLIYQQQgghhBBCCCGEmPAkWC6EEEIIIYQQQgghhBBiwpNguRBCCCGEEEIIIYQQQogJT4LlQgghhBBCCCGEEEIIISY8CZYLIYQQQgghhBBCCCGEmPAkWC6EEEIIIYQQQgghhBBiwpNguRBCCCGEEEIIIYQQQogJT4LlQgghhBBCCCGEEEIIISY8CZYLIYQQQgghhBBCCCGEmPAkWC6EEEIIIYQQQgghhBBiwvv/AV9HDgz6r09yAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# makes nice bar plot\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patches\n", + "\n", + "sns.set_style(\"ticks\", {'axes.grid' : False})\n", + "\n", + "matplotlib.rcParams.update({'font.size': 16})\n", + "plt.rcParams['ytick.major.size'] = 10\n", + "plt.rcParams['xtick.major.size'] = 0\n", + "plt.rcParams['ytick.major.width'] = 2\n", + "\n", + "fig, ax = plt.subplots()\n", + "fig.set_size_inches(18,10)\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.spines['bottom'].set_color('black')\n", + "ax.spines['left'].set_color('black')\n", + "ax.spines['bottom'].set_linewidth(2)\n", + "ax.spines['left'].set_linewidth(2)\n", + "\n", + "swarm = 1\n", + "\n", + "if swarm == 1:\n", + " swarm_ax = sns.stripplot(x=np.concatenate([np.repeat(1,len(pippin_head_dir_norip_time)),\n", + " np.repeat(1,len(pippin_content_norip_time)),\n", + " np.repeat(1,len(pippin_head_dir_rip_time)),\n", + " np.repeat(1,len(pippin_content_norip_time)),\n", + " \n", + " np.repeat(2,len(tonks_head_dir_norip_time)),\n", + " np.repeat(2,len(tonks_content_norip_time)),\n", + " np.repeat(2,len(tonks_head_dir_rip_time)),\n", + " np.repeat(2,len(tonks_content_rip_time)),\n", + " \n", + " np.repeat(3,len(ginny_head_dir_norip_time)),\n", + " np.repeat(3,len(ginny_content_norip_time)),\n", + " np.repeat(3,len(ginny_head_dir_rip_time)),\n", + " np.repeat(3,len(ginny_content_rip_time)),\n", + " \n", + " np.repeat(4,len(ron_head_dir_norip_time)),\n", + " np.repeat(4,len(ron_content_norip_time)),\n", + " np.repeat(4,len(ron_head_dir_rip_time)),\n", + " np.repeat(4,len(ron_content_rip_time)),\n", + " \n", + " np.repeat(5,len(molly_head_dir_norip_time)),\n", + " np.repeat(5,len(molly_content_norip_time)),\n", + " np.repeat(5,len(molly_head_dir_rip_time)),\n", + " np.repeat(5,len(molly_content_rip_time)),\n", + " \n", + " np.repeat(6,len(arthur_head_dir_norip_time)),\n", + " np.repeat(6,len(arthur_content_norip_time)),\n", + " np.repeat(6,len(arthur_head_dir_rip_time)),\n", + " np.repeat(6,len(arthur_content_rip_time)),\n", + "\n", + " ]), \n", + " y=np.concatenate([pippin_head_dir_norip_time,\n", + " pippin_content_norip_time,\n", + " pippin_head_dir_rip_time,\n", + " pippin_content_rip_time,\n", + " \n", + " tonks_head_dir_norip_time,\n", + " tonks_content_norip_time,\n", + " tonks_head_dir_rip_time,\n", + " tonks_content_rip_time,\n", + " \n", + " ginny_head_dir_norip_time,\n", + " ginny_content_norip_time,\n", + " ginny_head_dir_rip_time,\n", + " ginny_content_rip_time,\n", + " \n", + " ron_head_dir_norip_time,\n", + " ron_content_norip_time,\n", + " ron_head_dir_rip_time,\n", + " ron_content_rip_time,\n", + " \n", + " molly_head_dir_norip_time,\n", + " molly_content_norip_time,\n", + " molly_head_dir_rip_time,\n", + " molly_content_rip_time,\n", + " \n", + " arthur_head_dir_norip_time,\n", + " arthur_content_norip_time,\n", + " arthur_head_dir_rip_time,\n", + " arthur_content_rip_time,\n", + " ]), \n", + " hue=np.concatenate([np.repeat(1,len(pippin_head_dir_norip_time)),\n", + " np.repeat(2,len(pippin_content_norip_time)),\n", + " np.repeat(3,len(pippin_head_dir_rip_time)),\n", + " np.repeat(4,len(pippin_content_norip_time)),\n", + " \n", + " np.repeat(1,len(tonks_head_dir_norip_time)),\n", + " np.repeat(2,len(tonks_content_norip_time)),\n", + " np.repeat(3,len(tonks_head_dir_rip_time)),\n", + " np.repeat(4,len(tonks_content_rip_time)),\n", + " \n", + " np.repeat(1,len(ginny_head_dir_norip_time)),\n", + " np.repeat(2,len(ginny_content_norip_time)),\n", + " np.repeat(3,len(ginny_head_dir_rip_time)),\n", + " np.repeat(4,len(ginny_content_rip_time)),\n", + " \n", + " np.repeat(1,len(ron_head_dir_norip_time)),\n", + " np.repeat(2,len(ron_content_norip_time)),\n", + " np.repeat(3,len(ron_head_dir_rip_time)),\n", + " np.repeat(4,len(ron_content_rip_time)),\n", + " \n", + " np.repeat(1,len(molly_head_dir_norip_time)),\n", + " np.repeat(2,len(molly_content_norip_time)),\n", + " np.repeat(3,len(molly_head_dir_rip_time)),\n", + " np.repeat(4,len(molly_content_rip_time)),\n", + " \n", + " np.repeat(1,len(arthur_head_dir_norip_time)),\n", + " np.repeat(2,len(arthur_content_norip_time)),\n", + " np.repeat(3,len(arthur_head_dir_rip_time)),\n", + " np.repeat(4,len(arthur_content_rip_time)),\n", + "\n", + " ]), \n", + " palette=['dimgrey','blue','darkgrey','skyblue'], \n", + " alpha=1,zorder=1,size=10,edgecolor='white',linewidth=0.5,dodge=True)\n", + "\n", + "t_ax = sns.boxplot(x=np.concatenate([np.repeat(1,len(pippin_head_dir_norip_time)),\n", + " np.repeat(1,len(pippin_content_norip_time)),\n", + " np.repeat(1,len(pippin_head_dir_rip_time)),\n", + " np.repeat(1,len(pippin_content_norip_time)),\n", + " \n", + " np.repeat(2,len(tonks_head_dir_norip_time)),\n", + " np.repeat(2,len(tonks_content_norip_time)),\n", + " np.repeat(2,len(tonks_head_dir_rip_time)),\n", + " np.repeat(2,len(tonks_content_rip_time)),\n", + " \n", + " np.repeat(3,len(ginny_head_dir_norip_time)),\n", + " np.repeat(3,len(ginny_content_norip_time)),\n", + " np.repeat(3,len(ginny_head_dir_rip_time)),\n", + " np.repeat(3,len(ginny_content_rip_time)),\n", + " \n", + " np.repeat(4,len(ron_head_dir_norip_time)),\n", + " np.repeat(4,len(ron_content_norip_time)),\n", + " np.repeat(4,len(ron_head_dir_rip_time)),\n", + " np.repeat(4,len(ron_content_rip_time)),\n", + " \n", + " np.repeat(5,len(molly_head_dir_norip_time)),\n", + " np.repeat(5,len(molly_content_norip_time)),\n", + " np.repeat(5,len(molly_head_dir_rip_time)),\n", + " np.repeat(5,len(molly_content_rip_time)),\n", + " \n", + " np.repeat(6,len(arthur_head_dir_norip_time)),\n", + " np.repeat(6,len(arthur_content_norip_time)),\n", + " np.repeat(6,len(arthur_head_dir_rip_time)),\n", + " np.repeat(6,len(arthur_content_rip_time)),\n", + " ]), \n", + " y=np.concatenate([pippin_head_dir_norip_time,\n", + " pippin_content_norip_time,\n", + " pippin_head_dir_rip_time,\n", + " pippin_content_rip_time,\n", + " \n", + " tonks_head_dir_norip_time,\n", + " tonks_content_norip_time,\n", + " tonks_head_dir_rip_time,\n", + " tonks_content_rip_time,\n", + " \n", + " ginny_head_dir_norip_time,\n", + " ginny_content_norip_time,\n", + " ginny_head_dir_rip_time,\n", + " ginny_content_rip_time,\n", + " \n", + " ron_head_dir_norip_time,\n", + " ron_content_norip_time,\n", + " ron_head_dir_rip_time,\n", + " ron_content_rip_time,\n", + " \n", + " molly_head_dir_norip_time,\n", + " molly_content_norip_time,\n", + " molly_head_dir_rip_time,\n", + " molly_content_rip_time,\n", + " \n", + " arthur_head_dir_norip_time,\n", + " arthur_content_norip_time,\n", + " arthur_head_dir_rip_time,\n", + " arthur_content_rip_time,\n", + " ]), \n", + " hue = np.concatenate([np.repeat(1,len(pippin_head_dir_norip_time)),\n", + " np.repeat(2,len(pippin_content_norip_time)),\n", + " np.repeat(3,len(pippin_head_dir_rip_time)),\n", + " np.repeat(4,len(pippin_content_norip_time)),\n", + " \n", + " np.repeat(1,len(tonks_head_dir_norip_time)),\n", + " np.repeat(2,len(tonks_content_norip_time)),\n", + " np.repeat(3,len(tonks_head_dir_rip_time)),\n", + " np.repeat(4,len(tonks_content_rip_time)),\n", + " \n", + " np.repeat(1,len(ginny_head_dir_norip_time)),\n", + " np.repeat(2,len(ginny_content_norip_time)),\n", + " np.repeat(3,len(ginny_head_dir_rip_time)),\n", + " np.repeat(4,len(ginny_content_rip_time)),\n", + " \n", + " np.repeat(1,len(ron_head_dir_norip_time)),\n", + " np.repeat(2,len(ron_content_norip_time)),\n", + " np.repeat(3,len(ron_head_dir_rip_time)),\n", + " np.repeat(4,len(ron_content_rip_time)),\n", + " \n", + " np.repeat(1,len(molly_head_dir_norip_time)),\n", + " np.repeat(2,len(molly_content_norip_time)),\n", + " np.repeat(3,len(molly_head_dir_rip_time)),\n", + " np.repeat(4,len(molly_content_rip_time)),\n", + " \n", + " np.repeat(1,len(arthur_head_dir_norip_time)),\n", + " np.repeat(2,len(arthur_content_norip_time)),\n", + " np.repeat(3,len(arthur_head_dir_rip_time)),\n", + " np.repeat(4,len(arthur_content_rip_time)),\n", + " ]),\n", + " #capsize=0.05,errcolor='black',\n", + " linewidth=2, #facecolor=(1, 1, 1, 0),\n", + " palette=['dimgrey','blue','darkgrey','skyblue'],\n", + " zorder=2,showfliers=False,showcaps=False)\n", + "\n", + "for patch in t_ax.patches:\n", + " patch.set_alpha(0.4)\n", + " \n", + "ax.get_legend().remove()\n", + " \n", + "plt.ylim(0,0.08)\n", + "plt.title('All rats: content rips vs no rips')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 226, + "id": "24363687", + "metadata": {}, + "outputs": [], + "source": [ + "# normalized lists - use for combined bar plot visualization\n", + "arthur_content_non_end_norm = np.array(arthur_content_norip_time)/np.mean(np.array(arthur_head_dir_norip_time))\n", + "arthur_head_dir_non_end_norm = np.array(arthur_head_dir_norip_time)/np.mean(np.array(arthur_head_dir_norip_time))\n", + "ginny_content_non_end_norm = np.array(ginny_content_norip_time)/np.mean(np.array(ginny_head_dir_norip_time))\n", + "ginny_head_dir_non_end_norm = np.array(ginny_head_dir_norip_time)/np.mean(np.array(ginny_head_dir_norip_time))\n", + "tonks_content_non_end_norm = np.array(tonks_content_norip_time)/np.mean(np.array(tonks_head_dir_norip_time))\n", + "tonks_head_dir_non_end_norm = np.array(tonks_head_dir_norip_time)/np.mean(np.array(tonks_head_dir_norip_time))\n", + "molly_content_non_end_norm = np.array(molly_content_norip_time)/np.mean(np.array(molly_head_dir_norip_time))\n", + "molly_head_dir_non_end_norm = np.array(molly_head_dir_norip_time)/np.mean(np.array(molly_head_dir_norip_time))\n", + "ron_content_non_end_norm = np.array(ron_content_norip_time)/np.mean(np.array(ron_head_dir_norip_time))\n", + "ron_head_dir_non_end_norm = np.array(ron_head_dir_norip_time)/np.mean(np.array(ron_head_dir_norip_time))\n", + "pippin_content_non_end_norm = np.array(pippin_content_norip_time)/np.mean(np.array(pippin_head_dir_norip_time))\n", + "pippin_head_dir_non_end_norm = np.array(pippin_head_dir_norip_time)/np.mean(np.array(pippin_head_dir_norip_time))\n", + "\n", + "arthur_content_rip_norm = np.array(arthur_content_rip_time)/np.mean(np.array(arthur_head_dir_norip_time))\n", + "arthur_head_dir_rip_norm = np.array(arthur_head_dir_rip_time)/np.mean(np.array(arthur_head_dir_norip_time))\n", + "ginny_content_rip_norm = np.array(ginny_content_rip_time)/np.mean(np.array(ginny_head_dir_norip_time))\n", + "ginny_head_dir_rip_norm = np.array(ginny_head_dir_rip_time)/np.mean(np.array(ginny_head_dir_norip_time))\n", + "tonks_content_rip_norm = np.array(tonks_content_rip_time)/np.mean(np.array(tonks_head_dir_norip_time))\n", + "tonks_head_dir_rip_norm = np.array(tonks_head_dir_rip_time)/np.mean(np.array(tonks_head_dir_norip_time))\n", + "molly_content_rip_norm = np.array(molly_content_rip_time)/np.mean(np.array(molly_head_dir_norip_time))\n", + "molly_head_dir_rip_norm = np.array(molly_head_dir_rip_time)/np.mean(np.array(molly_head_dir_norip_time))\n", + "ron_content_rip_norm = np.array(ron_content_rip_time)/np.mean(np.array(ron_head_dir_norip_time))\n", + "ron_head_dir_rip_norm = np.array(ron_head_dir_rip_time)/np.mean(np.array(ron_head_dir_norip_time))\n", + "pippin_content_rip_norm = np.array(pippin_content_rip_time)/np.mean(np.array(pippin_head_dir_norip_time))\n", + "pippin_head_dir_rip_norm = np.array(pippin_head_dir_rip_time)/np.mean(np.array(pippin_head_dir_norip_time))" + ] + }, + { + "cell_type": "code", + "execution_count": 227, + "id": "fec75513", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(0.0, 2.5)" + ] + }, + "execution_count": 227, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# normalized plot\n", + "# makes nice bar plot\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.patches\n", + "\n", + "matplotlib.rc('xtick', labelsize=20) \n", + "matplotlib.rc('ytick', labelsize=20) \n", + "matplotlib.rcParams.update({'font.size': 20})\n", + " \n", + "filename = '/home/mcoulter/content_feedback_figs/all_rats_target_head_dir.svg'\n", + "\n", + "sns.set_style(\"ticks\", {'axes.grid' : False})\n", + "\n", + "all_content_non_end_norm = np.concatenate([arthur_content_non_end_norm,molly_content_non_end_norm,\n", + " ron_content_non_end_norm,pippin_content_non_end_norm,\n", + " tonks_content_non_end_norm,ginny_content_non_end_norm])\n", + "\n", + "all_head_dir_non_end_norm = np.concatenate([arthur_head_dir_non_end_norm,molly_head_dir_non_end_norm,\n", + " ron_head_dir_non_end_norm,pippin_head_dir_non_end_norm,\n", + " tonks_head_dir_non_end_norm,ginny_head_dir_non_end_norm])\n", + "\n", + "all_content_rip_norm = np.concatenate([arthur_content_rip_norm,molly_content_rip_norm,\n", + " ron_content_rip_norm,pippin_content_rip_norm,\n", + " tonks_content_rip_norm,ginny_content_rip_norm])\n", + "\n", + "all_head_dir_rip_norm = np.concatenate([arthur_head_dir_rip_norm,molly_head_dir_rip_norm,\n", + " ron_head_dir_rip_norm,pippin_head_dir_rip_norm,\n", + " tonks_head_dir_rip_norm,ginny_head_dir_rip_norm])\n", + "\n", + "\n", + "fig, ax = plt.subplots()\n", + "fig.set_size_inches(5,5)\n", + "ax.spines['top'].set_visible(False)\n", + "ax.spines['right'].set_visible(False)\n", + "ax.spines['bottom'].set_color('black')\n", + "ax.spines['left'].set_color('black')\n", + "ax.spines['bottom'].set_linewidth(2)\n", + "ax.spines['left'].set_linewidth(2)\n", + "\n", + "swarm = 0\n", + "\n", + "if swarm == 1:\n", + " swarm_ax = sns.swarmplot(x=np.concatenate([np.repeat(1,len(all_head_dir_non_end_norm)),\n", + " np.repeat(1,len(all_content_non_end_norm)),\n", + " np.repeat(1,len(all_head_dir_rip_norm)),\n", + " np.repeat(1,len(all_content_rip_norm)),\n", + "\n", + " ]), \n", + " y=np.concatenate([all_head_dir_non_end_norm,\n", + " all_content_non_end_norm,\n", + " all_head_dir_rip_norm,\n", + " all_content_rip_norm,\n", + "\n", + " ]), \n", + " hue=np.concatenate([np.repeat(1,len(all_head_dir_non_end_norm)),\n", + " np.repeat(2,len(all_content_non_end_norm)),\n", + " np.repeat(1,len(all_head_dir_rip_norm)),\n", + " np.repeat(2,len(all_content_rip_norm)),\n", + "\n", + " ]), \n", + " palette=['grey','blue'], \n", + " alpha=1,zorder=1,size=9,edgecolor='white',linewidth=1,dodge=True)\n", + "\n", + "t_ax = sns.barplot(x=np.concatenate([np.repeat(1,len(all_head_dir_non_end_norm)),\n", + " np.repeat(1,len(all_content_non_end_norm)),\n", + " np.array([1]),\n", + " np.repeat(1,len(all_head_dir_rip_norm)),\n", + " np.repeat(1,len(all_content_rip_norm)),\n", + "\n", + " ]), \n", + " y=np.concatenate([all_head_dir_non_end_norm,\n", + " all_content_non_end_norm,\n", + " np.array([0]),\n", + " all_head_dir_rip_norm,\n", + " all_content_rip_norm,\n", + "\n", + " ]), \n", + " hue = np.concatenate([np.repeat(1,len(all_head_dir_non_end_norm)),\n", + " np.repeat(2,len(all_content_non_end_norm)),\n", + " np.array([3]),\n", + " np.repeat(4,len(all_head_dir_rip_norm)),\n", + " np.repeat(5,len(all_content_rip_norm)),\n", + "\n", + " ]),\n", + " capsize=0.05,errcolor='black',\n", + " linewidth=4, #facecolor=(1, 1, 1, 0),\n", + " palette=['dimgrey','blue','white','darkgrey','skyblue'],\n", + " errwidth=3,zorder=2)\n", + "\n", + "\n", + "for patch in t_ax.patches:\n", + " clr = patch.get_facecolor()\n", + " patch.set_edgecolor(clr)\n", + " patch.set_facecolor([1,1,1,0])\n", + "\n", + "ax.get_legend().remove()\n", + "plt.ylim(0,2.5)\n", + "#plt.title('arm base')\n" + ] + }, + { + "cell_type": "code", + "execution_count": 405, + "id": "6c5a5a57", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Mixed Linear Model Regression Results\n", + "===================================================================\n", + "Model: MixedLM Dependent Variable: arm_representation\n", + "No. Observations: 141 Method: REML \n", + "No. Groups: 6 Scale: 0.0002 \n", + "Min. group size: 11 Log-Likelihood: inf \n", + "Max. group size: 45 Converged: Yes \n", + "Mean group size: 23.5 \n", + "-------------------------------------------------------------------\n", + " Coef. Std.Err. z P>|z| [0.025 0.975] \n", + "-------------------------------------------------------------------\n", + "Intercept 0.004 66784.765 0.000 1.000 -130895.730 130895.738\n", + "content_sessions 0.015 0.002 6.766 0.000 0.011 0.019\n", + "Group Var 0.000 \n", + "===================================================================\n", + "\n", + "Intercept 1.000000e+00\n", + "content_sessions 1.328183e-11\n", + "Group Var NaN\n", + "dtype: float64\n" + ] + } + ], + "source": [ + "# mixed linear model\n", + "import statsmodels.api as sm\n", + "import statsmodels.formula.api as smf\n", + "# make combined lists\n", + "\n", + "# Non-ripple times\n", + "content_list_lmm = np.concatenate([np.ones(len(arthur_content_norip_time)), np.zeros(len(arthur_head_dir_norip_time)), \n", + " np.ones(len(ginny_content_norip_time)), np.zeros(len(ginny_head_dir_norip_time)), \n", + " np.ones(len(tonks_content_norip_time)), np.zeros(len(tonks_head_dir_norip_time)), \n", + " np.ones(len(molly_content_norip_time)), np.zeros(len(molly_head_dir_norip_time)), \n", + " np.ones(len(ron_content_norip_time)), np.zeros(len(ron_head_dir_norip_time)), \n", + " np.ones(len(pippin_content_norip_time)), np.zeros(len(pippin_head_dir_norip_time)), ])\n", + "\n", + "\n", + "rat_list_lmm = np.concatenate([ np.zeros(len(arthur_content_norip_time)),np.zeros(len(arthur_head_dir_norip_time)), \n", + " np.ones(len(ginny_content_norip_time)), np.ones(len(ginny_head_dir_norip_time)), \n", + " np.ones(len(tonks_content_norip_time))*2, np.ones(len(tonks_head_dir_norip_time))*2, \n", + " np.ones(len(molly_content_norip_time))*3, np.ones(len(molly_head_dir_norip_time))*3, \n", + " np.ones(len(ron_content_norip_time))*4, np.ones(len(ron_head_dir_norip_time))*4, \n", + " np.ones(len(pippin_content_norip_time))*5, np.ones(len(pippin_head_dir_norip_time))*5, ])\n", + "\n", + "arm_rep_lmm = np.concatenate([arthur_content_norip_time, arthur_head_dir_norip_time, \n", + " ginny_content_norip_time, ginny_head_dir_norip_time, \n", + " tonks_content_norip_time, tonks_head_dir_norip_time, \n", + " molly_content_norip_time, molly_head_dir_norip_time, \n", + " ron_content_norip_time, ron_head_dir_norip_time, \n", + " pippin_content_norip_time, pippin_head_dir_norip_time, ])\n", + "\n", + "lmm_input_table = pd.DataFrame(np.concatenate([np.expand_dims(content_list_lmm,axis=1),\n", + " np.expand_dims(arm_rep_lmm,axis=1),\n", + " np.expand_dims(rat_list_lmm,axis=1),],axis=1),\n", + " columns=['content_sessions','arm_representation','rat'])\n", + "# generate model\n", + "# use + to add more confients \n", + "# content_list + [date]\n", + "md = smf.mixedlm(\"arm_representation ~ content_sessions\", lmm_input_table, groups=lmm_input_table[\"rat\"])\n", + "mdf = md.fit(method=[\"lbfgs\"])\n", + "print(mdf.summary())\n", + "print(mdf.pvalues)" + ] + }, + { + "cell_type": "code", + "execution_count": 406, + "id": "6c13e804", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Mixed Linear Model Regression Results\n", + "==================================================================\n", + "Model: MixedLM Dependent Variable: arm_representation\n", + "No. Observations: 141 Method: REML \n", + "No. Groups: 6 Scale: 0.0000 \n", + "Min. group size: 11 Log-Likelihood: inf \n", + "Max. group size: 45 Converged: Yes \n", + "Mean group size: 23.5 \n", + "------------------------------------------------------------------\n", + " Coef. Std.Err. z P>|z| [0.025 0.975] \n", + "------------------------------------------------------------------\n", + "Intercept -0.001 5311.380 -0.000 1.000 -10410.114 10410.112\n", + "content_sessions 0.000 0.000 1.911 0.056 -0.000 0.001\n", + "Group Var 0.000 \n", + "==================================================================\n", + "\n", + "Intercept 1.000000\n", + "content_sessions 0.056052\n", + "Group Var NaN\n", + "dtype: float64\n" + ] + } + ], + "source": [ + "# mixed linear model\n", + "import statsmodels.api as sm\n", + "import statsmodels.formula.api as smf\n", + "# make combined lists\n", + "\n", + "# Ripple times\n", + "content_list_lmm = np.concatenate([np.ones(len(arthur_content_rip_time)), np.zeros(len(arthur_head_dir_rip_time)), \n", + " np.ones(len(ginny_content_rip_time)), np.zeros(len(ginny_head_dir_rip_time)), \n", + " np.ones(len(tonks_content_rip_time)), np.zeros(len(tonks_head_dir_rip_time)), \n", + " np.ones(len(molly_content_rip_time)), np.zeros(len(molly_head_dir_rip_time)), \n", + " np.ones(len(ron_content_rip_time)), np.zeros(len(ron_head_dir_rip_time)), \n", + " np.ones(len(pippin_content_rip_time)), np.zeros(len(pippin_head_dir_rip_time)), ])\n", + "\n", + "rat_list_lmm = np.concatenate([ np.zeros(len(arthur_content_rip_time)),np.zeros(len(arthur_head_dir_rip_time)), \n", + " np.ones(len(ginny_content_rip_time)), np.ones(len(ginny_head_dir_rip_time)), \n", + " np.ones(len(tonks_content_rip_time))*2, np.ones(len(tonks_head_dir_rip_time))*2, \n", + " np.ones(len(molly_content_rip_time))*3, np.ones(len(molly_head_dir_rip_time))*3, \n", + " np.ones(len(ron_content_rip_time))*4, np.ones(len(ron_head_dir_rip_time))*4, \n", + " np.ones(len(pippin_content_rip_time))*5, np.ones(len(pippin_head_dir_rip_time))*5, ])\n", + "\n", + "arm_rep_lmm = np.concatenate([arthur_content_rip_time, arthur_head_dir_rip_time, \n", + " ginny_content_rip_time, ginny_head_dir_rip_time, \n", + " tonks_content_rip_time, tonks_head_dir_rip_time, \n", + " molly_content_rip_time, molly_head_dir_rip_time, \n", + " ron_content_rip_time, ron_head_dir_rip_time, \n", + " pippin_content_rip_time, pippin_head_dir_rip_time, ])\n", + "\n", + "lmm_input_table = pd.DataFrame(np.concatenate([np.expand_dims(content_list_lmm,axis=1),\n", + " np.expand_dims(arm_rep_lmm,axis=1),\n", + " np.expand_dims(rat_list_lmm,axis=1),],axis=1),\n", + " columns=['content_sessions','arm_representation','rat'])\n", + "# generate model\n", + "# use + to add more confients \n", + "# content_list + [date]\n", + "md = smf.mixedlm(\"arm_representation ~ content_sessions\", lmm_input_table, groups=lmm_input_table[\"rat\"])\n", + "mdf = md.fit(method=[\"lbfgs\"])\n", + "print(mdf.summary())\n", + "print(mdf.pvalues)" + ] + }, + { + "cell_type": "markdown", + "id": "f179fe4a", + "metadata": {}, + "source": [ + "## Figure S7" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5be16c71", + "metadata": {}, + "outputs": [], + "source": [ + "# Figure S7a" + ] + }, + { + "cell_type": "code", + "execution_count": 302, + "id": "fa21baab", + "metadata": {}, + "outputs": [], + "source": [ + "# theta phase of remote representations\n", + "\n", + "#theta_phase_dist_dict[1] = pippin_all_session_hist\n", + "#theta_phase_dist_dict[2] = pippin_mean_counts\n", + "#theta_phase_dist_dict[3] = pippin_25\n", + "#theta_phase_dist_dict[4] = pippin_975\n", + "#theta_phase_dist_dict[5] = tonks_all_session_hist\n", + "#theta_phase_dist_dict[6] = tonks_mean_counts\n", + "#theta_phase_dist_dict[7] = tonks_25\n", + "#theta_phase_dist_dict[8] = tonks_975\n", + "#theta_phase_dist_dict[9] = ginny_all_session_hist\n", + "#theta_phase_dist_dict[10] = ginny_mean_counts\n", + "#theta_phase_dist_dict[11] = ginny_25\n", + "#theta_phase_dist_dict[12] = ginny_975\n", + "#theta_phase_dist_dict[13] = ron_all_session_hist\n", + "#theta_phase_dist_dict[14] = ron_mean_counts\n", + "#theta_phase_dist_dict[15] = ron_25\n", + "#theta_phase_dist_dict[16] = ron_975\n", + "#theta_phase_dist_dict[17] = molly_all_session_hist\n", + "#theta_phase_dist_dict[18] = molly_mean_counts\n", + "#theta_phase_dist_dict[19] = molly_25\n", + "#theta_phase_dist_dict[20] = molly_975\n", + "#theta_phase_dist_dict[21] = arthur_all_session_hist\n", + "#theta_phase_dist_dict[22] = arthur_mean_counts\n", + "#theta_phase_dist_dict[23] = arthur_25\n", + "#theta_phase_dist_dict[24] = arthur_975\n", + "\n", + "fileObj = open('/stelmo/mcoulter/coulter_all_figures/theta_phase_dist_dict.pkl', 'rb')\n", + "theta_phase_dist_dict = pickle.load(fileObj)\n", + "fileObj.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 303, + "id": "85251904", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Rat 6')" + ] + }, + "execution_count": 303, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plotting\n", + "matplotlib.rcParams.update({'font.size': 16})\n", + "matplotlib.rc('xtick', labelsize=16) \n", + "matplotlib.rc('ytick', labelsize=16) \n", + "\n", + "fig, axs = plt.subplots(2,3, figsize=(20,14))\n", + "\n", + "[counts,bins] = np.histogram(theta_phase_dist_dict[1])\n", + "x_centers = bins[0:10]+(np.pi/20)\n", + "axs[0,0].plot(x_centers,counts/len(theta_phase_dist_dict[1]),'blue',linewidth=4)\n", + "axs[0,0].plot(x_centers,theta_phase_dist_dict[2],'k',linewidth=1)\n", + "axs[0,0].plot(x_centers,theta_phase_dist_dict[3],'k--',alpha=0.5,linewidth=1)\n", + "axs[0,0].plot(x_centers,theta_phase_dist_dict[4],'k--',alpha=0.5,linewidth=1)\n", + "axs[0,0].set_ylim(0.08,0.12)\n", + "axs[0,0].set_xticks([0,np.pi,2*np.pi])\n", + "axs[0,0].set_title('Rat 1')\n", + "\n", + "[counts,bins] = np.histogram(theta_phase_dist_dict[5])\n", + "x_centers = bins[0:10]+(np.pi/20)\n", + "axs[0,1].plot(x_centers,counts/len(theta_phase_dist_dict[5]),'blue',linewidth=4)\n", + "axs[0,1].plot(x_centers,theta_phase_dist_dict[6],'k',linewidth=1)\n", + "axs[0,1].plot(x_centers,theta_phase_dist_dict[7],'k--',alpha=0.5,linewidth=1)\n", + "axs[0,1].plot(x_centers,theta_phase_dist_dict[8],'k--',alpha=0.5,linewidth=1)\n", + "axs[0,1].set_ylim(0.08,0.12)\n", + "axs[0,1].set_xticks([0,np.pi,2*np.pi])\n", + "axs[0,1].set_title('Rat 2')\n", + "\n", + "[counts,bins] = np.histogram(theta_phase_dist_dict[9])\n", + "x_centers = bins[0:10]+(np.pi/20)\n", + "axs[0,2].plot(x_centers,counts/len(theta_phase_dist_dict[9]),'blue',linewidth=4)\n", + "axs[0,2].plot(x_centers,theta_phase_dist_dict[10],'k',linewidth=1)\n", + "axs[0,2].plot(x_centers,theta_phase_dist_dict[11],'k--',alpha=0.5,linewidth=1)\n", + "axs[0,2].plot(x_centers,theta_phase_dist_dict[12],'k--',alpha=0.5,linewidth=1)\n", + "axs[0,2].set_ylim(0.08,0.12)\n", + "axs[0,2].set_xticks([0,np.pi,2*np.pi])\n", + "axs[0,2].set_title('Rat 3')\n", + "\n", + "[counts,bins] = np.histogram(theta_phase_dist_dict[13])\n", + "x_centers = bins[0:10]+(np.pi/20)\n", + "axs[1,0].plot(x_centers,counts/len(theta_phase_dist_dict[13]),'blue',linewidth=4)\n", + "axs[1,0].plot(x_centers,theta_phase_dist_dict[14],'k',linewidth=1)\n", + "axs[1,0].plot(x_centers,theta_phase_dist_dict[15],'k--',alpha=0.5,linewidth=1)\n", + "axs[1,0].plot(x_centers,theta_phase_dist_dict[16],'k--',alpha=0.5,linewidth=1)\n", + "axs[1,0].set_ylim(0.08,0.12)\n", + "axs[1,0].set_xticks([0,np.pi,2*np.pi])\n", + "axs[1,0].set_title('Rat 4')\n", + "\n", + "[counts,bins] = np.histogram(theta_phase_dist_dict[17])\n", + "x_centers = bins[0:10]+(np.pi/20)\n", + "axs[1,1].plot(x_centers,counts/len(theta_phase_dist_dict[17]),'blue',linewidth=4)\n", + "axs[1,1].plot(x_centers,theta_phase_dist_dict[18],'k',linewidth=1)\n", + "axs[1,1].plot(x_centers,theta_phase_dist_dict[19],'k--',alpha=0.5,linewidth=1)\n", + "axs[1,1].plot(x_centers,theta_phase_dist_dict[20],'k--',alpha=0.5,linewidth=1)\n", + "axs[1,1].set_ylim(0.08,0.12)\n", + "axs[1,1].set_xticks([0,np.pi,2*np.pi])\n", + "axs[1,1].set_title('Rat 5')\n", + "\n", + "[counts,bins] = np.histogram(theta_phase_dist_dict[21])\n", + "x_centers = bins[0:10]+(np.pi/20)\n", + "axs[1,2].plot(x_centers,counts/len(theta_phase_dist_dict[21]),'blue',linewidth=4)\n", + "axs[1,2].plot(x_centers,theta_phase_dist_dict[22],'k',linewidth=1)\n", + "axs[1,2].plot(x_centers,theta_phase_dist_dict[23],'k--',alpha=0.5,linewidth=1)\n", + "axs[1,2].plot(x_centers,theta_phase_dist_dict[24],'k--',alpha=0.5,linewidth=1)\n", + "axs[1,2].set_ylim(0.08,0.12)\n", + "axs[1,2].set_xticks([0,np.pi,2*np.pi])\n", + "axs[1,2].set_title('Rat 6')\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6dbfd152", + "metadata": {}, + "outputs": [], + "source": [ + "# Figure S7b" + ] + }, + { + "cell_type": "code", + "execution_count": 219, + "id": "80af22fc", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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Jyu4oWLtcLk6cOEF4eDg2m+1fxyUcOHCAOXPmULFiRXLmzHnD50dFRXHu3Lm01C0ikimpP4qI3Jj6o4hkZXcUrIcNG8bs2bOpVKkSM2fOpHDhwgBcvHiRIUOGsGzZMo4fP87333+PzWa77vkBAQHkz58/Ve/pdDoJCwu7k3JFRDKM+qOIyI2pP4pIVmZxpfKwwL/++ovWrVtjt9tZtmzZ1Y0oUkRFRdGwYUMuX77MBx98QIsWLdxSaFRUFFWqVGHr1q0EBAS45TVFJPvIiB6i/iginiq9+4j6o4h4qtvtI6nevGzr1q24XC6KFi16XVME49vEihUrArBr167UvryIiMdSfxQRuTH1RxHJ6lIdrKOjo2/5mJRB8Pj4+NRXJCLiodQfRURuTP1RRLK6VAfrlLMFjx49ypkzZ667Pyoqij///PNfjxURyQ7UH0VEbkz9UUSyulQH6/vvv5/g4GASExN5+eWXOXny5NX7Ll68yKuvvsrly5fx9vbm4YcfdmuxIiKZmfqjiMiNqT+KSFaX6l3B/f39GT16NL1792b79u00btyY0NBQ7HY7x44dIzExEbvdzvDhw1O9c6OIiCdTfxQRuTH1RxHJ6u7ouK169erx448/Mm3aNDZs2MDp06dxuVzky5ePqlWr8vTTT1OuXDl31yoikumpP4qI3Jj6o4hkZXcUrAGKFSvGW2+95c5aRESyBPVHEZEbU38Ukawq1WusRUREREREROQaBWsRERERERGRNFCwFhEREREREUkDBWsRERERERGRNFCwFhEREREREUkDjw/WkZGQkGB2FSIiIiIiIpJdeXSwXrQIunWDU6fMrkRERERERESyqzs+x9ps4eHQsqXxc0gIjBsHVo/+mkBEREREREQ8kcdG0dGjr/28eDHExppXi4iIiIiIiGRfHhus58699vPhw7BhA7hc5tUjIiIiIiIi2ZNHBmunE44fN34uV874vXXrpTRt2oIdO3aYV5iIiIiIiIhkOx4ZrM+eNXYCt9lgxIhIIJmoqKb8/HM8/fsPNLs8ERERERERyUY8MlgfO2b8HhgYxbPPFgUm/n3Pl6xatYfIyEiTKhMREREREZHsxqODdXT0Li5duoTN9joFCkQABUlI6M+iRYtNrU9ERERERESyD48O1omJB3A4HOzevYm33/b++96m/PjjQtNqExERERERkezFo4M1HKNVq1aUKFGCxx7zxmp1AiX5889oE6sTERERERGR7MTjg3WLFi2w2+3kzAkVKkQBcOJEaVw6e0tEREREREQygIcG65TQfIxyKedtAY0b2wCIjKxCZGSUCZWJiIiIiIhIduORwfrs2ZRgfYZixYpdvb1BA7+/fyrPgQOHMrwuERERERERyX48MljHxzsByJnTn8DAwKu3lytn+funUuzefdiEykRERERERCS78chgnZBg/J43bzB2u/3q7YULg80WAzjYsiXclNpEREREREQke/HIYJ2UZIxM58+fB6v12kewWCBXrvMA7NmjzctEREREREQk/XlcsHa5wOk0NikrUCD3dfcXKWJsWnb0qG+G1iUiIiIiIiLZk8cF68TEaz8XKpTvuvvLlDHWX1+4cH3oFhEREREREXE3jw7WhQsXuO7+smWN0eyYmBCSkzUdXERERERERNKXRwfrIkVCrru/VCnjyK2kpDwkJTkzqiwRERERERHJpjwuWCclXfs5b96c191/zz1BALhc+QgPj8mgqkRERERERCS78rhgnXLUFiTh6+t93f13350TcAJ29uy5kHGFiYiIiIiISLbkccH62lTwBLy9va6738vLitUaBsDu3eEZVpeIiIiIiIhkTx4XrK9NBU/Ey+v6YA3g5WWMVB88GJsxRYmIiIiIx0hOBqe24hERN/K4YB0fn9IFE284Yg3g5xcBwPHjiTe8X0RERESyp0OHIHduePJJcOkAGRFxE48L1rGxKUPWN54KDhAUFA3AuXMZVJSIiIiIeIQpU+DKFfjuOzhyxOxqRCSr8LhgHROTMgr93yPWuXMbO5xdvOjIoKpERDIvp9NJcnKy2WWIiJjO5YJZs4yfnU746itz6xGRrMPjgnV8fMrF4X+vsc6f33jMlSs+GVSViEjmtHr1agoXLozdbqd79+5mlyMiYqrNm/89Sj17ttZai4h7eFywjon5Z7C+8Yh04cLGx4qODtDaGRHJto4fP06rVi9x5sxMYClTpoRx+PBhs8sSETHN9u0pP60F4tm71wjbIiJp5XHB+p8j1lbrjcu/6y5jJDsuLiea/Sgi2dUHH3xKePg0oAHwMC7XNMaOnWx2WSIipjl9OmXE5U9gEQDTpplWjohkIR4XrOPijKRssSRhtVpu+JiSJf0ASEzM9Y9zr0VEsg+n08mMGTbgXmy2lG8Yg5k504VLU3lEJJv644+UnW3PAMYC63nznERHm1aSiGQRHh2sLZYbB+syZXIBTsDO6dMashaR7GfNmjWEh1cHoEePON58Mx6AK1ee4ODBQ2aWJiJimiNH4gAoXjwHhQrtBM5w4YKVr782ty4R8XxZMlgXKVIQML6R3LcvJqNKExHJNJYsWQbUB6BFC1969fL++577WLhQCwpFJHu6cMHYnyd/fisDBrwEfALA+PFOLR8UkTTxuGAdH29s3Wi1/newzpEjBxaLEaz//PNihtUmIpJZGJvxBOLjE0Pt2lZy54agoLMALF16ydTaRETMcuWKsVywcGEbzz77LLlzzwXi2LPHyqZN5tYmIp7N44J1QkJKsE7+z2BtsVjw9TUuHPfvj8yw2kREMot9+/IBULLkeXx9jdvKl48CYOdOX7PKEhExjdMJsbGBABQt6o2fnx/Dh/fm2iZm2phHRO6cxwXr+Hhj0x2L5b+DNUBgoHEBeeJEQobUJSKSmYSF5QSgbFkLjr9PJmzcOODv+4qRkKDeKCLZy4UL4HLZASclSxoB+7nnniNnzp8BmDcvgaQkEwsUEY/mccE6Lu7WU8EBcuc2Nuo5d06734pI9nL58mUSEgoAUK5czqu3P/KIMYrtclVl1679ZpQmImKas2dTfrpA0aIhADgcDtq29QOiuHTJn23bzKpORDydxwXra1PBnTd9XIECRqC+dMkr3WsSEclMDh06BBQBoHRpv6u3ly9vxWKJBwJZufKYOcWJiJjk5MmU3cnOcNddoVdvb9euBbAFgLVrtYOZiNwZDwzWRmC+di7rjRUubAMgIsIP580zuIhIlnLo0GFSgnXJkvart9vtEBh4BoD167X/hIhkL/v2Rfz901kKFixw9fZ69erhcPwJwPLlYSZUJiJZgccG61uNWBcv7gNAbGyQjk8QkWxl584zgC/gpFixfy+ZKVToCgD793tc+xcRSZNjx4wvFL29o/Dx8b56u5eXF6VKGb1xxw4XLq0iFJE74HFXVrc7Yl22rLFJT2JibiI1MCMi2cjevTEA+PlFEBDw7/vKlDF65+nTgRldloiIqS5dMja29fW1Y7fb/3VfjRrGn8+cyU1cXIaXJiJZgMcG61uNWJctmxe4BFjZvVtbPIpI9nH6tHGBmDNnFDbbv++rVs0fgCtXCuJ0alhGRLKP8HAjWPv4OK7bALdBgyJABE6nFzt2mFCciHg8jwvWiYkpI9a3mgpeDNgHwNq1l9O7LBGRTCMszNiwLFeuuOuC9YMPGjuDJyWV5Pz58AyuTETEPLGxxowdb+/rL3+rVq0M7AJgxw6dZy0iqedxwTrl6FW7/ebB2tfXl4CAUwBs3HgpvcsSEck0rlzJAUCBAtfP1qlaNRiIA/xZsuSvjC1MRMREKYMzN7qGLFWqFDbbcQA2bjyfoXWJSNbgccE68e8vEW22W09hLFzYWFy9b5+mgotI9hEdbYxYh4TYr7vP2BncuHj8+Wftfisi2UfK4MyNriFtNhv58xvXjXv3RmdkWSKSRWTpYF26tLF+5swZf+0MLiLZgsvlIj7eCNb58/vc8DF33WUsj/nzT8sN7xcRyYqS/h5nsdtvfA0ZGmpcZJ48ef2XkiIit+JxwTolIP9XU/yn6tWN6ZAREfmIj0/PqkREMoeoqChcrmAAChe+8c7flSsbgfrkyeAMq0tExGyJiUbv+6/BmbvvNjaluHQpB86brzgUEbmOxwXrlKZ4qzXWAHXrFgJicTr92L1bHVJEsr4LFy4AuQAoVOjGI9YPPZQbgKioYsTHa6mMiGQPSUnGNaTDceP7K1UyBmRiYoKJ1mxwEUklDwzWxu/225ilU6FCGWArAIsXX0y/okREMomLFy8Cxkh0njy2Gz6mRYsigBOXqxCrVu3PuOJEREx0bXDmxvffd18IEA3YOHgww8oSkSzC44J1yreNtzMVPCgoiDx5DgGwdOl5XDqyVUSyuLCwi6SMWOfPf+NgnSuXA1/fYwBMn34go0oTETFVcvLNryFLliwBHAZg166EjCpLRLIIjwvW15ri7T2+Zk3j97/+8ru6aYWISFZ18uQVwAjUefL89+Zk5coZs3jWrNE3jiKSPVwbnLnx/QULFsRiOQLAtm2XM6osEckiPC5YJyUZJf/X+pj/167dXQBERIRy4YLWWYtI1nbypLEw0GqNJ/DGe5cB0KpVEACnThUnPj4xI0oTETHVtWvIG3/paLPZyJnT+NJx9+6oDKtLRLIGjw3Wtzti/eij1YCjgJ0ZM06mV1kiIpnCmTPGEQheXjE37ZNduhQDwOksz7x5v2dEaSIiprqdWY8hITEAHD2q2TwikjoeF6xTmqKX1+09PiDAnwIFtgEwa9ZlHZ8gIlna2bPGukAfn1isN+nwhQvbCQo6BVh5993DGVOciIiJkpONpniza8gSJYzfw8L8tDePiKTKbY773lhycjLz5s1jwYIFHDhwgJiYGPLkycM999xDmzZtaNiwobvqvCplxNrL67/XDv6/Bg1i+eYb2LOnILGx4O/v9rJERP7FjP4IcPFiMgD+/olYbtEmu3ZNYNw4+PPPhhw/foEiRfKkS00iIv9kVn9MCdb/NRUcoHx5XxYuhIiIXCQl3f7SQxGROw7WV65c4bnnnuOPP/7AYrFQtGhRChUqxPnz5/n111+x2+3p0hidzls3xf/XrVtRvvkmmoSEvKxbl0SjRmn6PkFE5KbM6o8AUVHeAPj7J9wyWI8cWZSPPrpIcnJROnT4kbVrW6VLTSIiKczsj8nJxsaONxuxrlw5D5CM0+nD8ePXRrBFRG7ljhKm0+mkZ8+e/PHHHzRu3JghQ4ZQoECBq/efPXuWEydOuK3If7/3rafx/L+6datjsy0lOfkRPv30DA89FHrTKZIiInfKzP4IEBfnB4Cf362PivHzs9C163EmT87NunWNWbDgOI88UiTdahOR7M3s/njtGvK/LwLLlCkOHAeK8ddfTkqU0AWjiNyeO+oWs2fPZuvWrdSoUYPx48f/qykCFChQgGrVqrmlwP937dvG2x+xdjgcVKhwEIAVK7yIi0uX0kRETO2PAPHxvgD4+d3eTt+ffXYfQUGbAF86d44jPj7dShORbM7s/ng715DFihUDDgGwbVtkutUiIlnPHQXrGTNmANC3b1+sGTz0eyfBGqBr1zxAAuHh+fnjD+1GISLpw8z+CBAfHwAYU8Fvh9Vq4dtvA4BwIiLu5oUX9qdjdSKSnZndH51O4xrS2/u/39vf3x8/v2MAbN6sYC0ity/VU8GPHj3K4cOHyZkzJ5UrV2b58uX89NNPhIWFkStXLmrXrk2rVq3wSs1c7VS41hRTF6zbtm1I377LgWZMn36FWrVy3nL9oYhIapjdHwESEoyp4P7+ybf9nKZNy1Kz5lds2NCZmTNz8Mkn4OOTXhWKSHaUGfqj02lc9t4sWAOEhJzj0CHYvVvTwEXk9qU6WO/evRswpsr079+fhQsX/uv+JUuWMHXqVCZPnkyhQoXcU+U/uFy3/rbxRgoWLEho6BROnGjGggUJTJigC0cRcS+z+yP888Ixdc+bOrUOZcteICGhAO+9d4g33tCOPSLiPpmhP167hrTd9HH33BPHoUNw8mROEhO1M7iI3J5UB+uwsDAAdu3axfbt23n88cfp2bMnefPmZevWrQwdOpTDhw/Tu3dv5s6de8OpPtOmTWPatGmpel/n3wdQ387GE//liSe8GTMmmXPn8rFvH9x7b6pfQkTkP5ndH+Gf57Smrkfec09RSpeez759bRg/Pp6hQ9GsHhFxm8zQH1NmPfr43Lw/1quXh0WLEkhI8OPwYShdOlVvKSLZVKqDdUxMDACJiYlUrVqVt99+++p9tWrV4uOPP6Z169bs3r2b3377jQYNGlz3GlFRUZw7d+6OCk4ZjblVU7yRJ55owJgxq4AGfPttPPfem8ohHRGRmzC7P8K1C8fU7kMBMHZsCZo3T+TSpbLMn3+axx4reMd1iIj8U2bojy5XyjXkzS9/q1W7F9gNVGLjRhelS+tbRhG5tVQHa+9/zC986qmnrru/TJky1KhRgw0bNvD777/fsDEGBASQP3/+VL2v0+n8+9vOOw/WlStXJiBgGFFRDfj++wjeeitvqo7tEhG5GfP747Vg7XCkvkc2a3YvefIs58KFhvTvf5o2bQpq1FpE3CIz9MeUYO3re/P+eO+99wLzgEqsWhXDU0/5p+o9RSR7SnWwzpEjx9WfixcvfsPHlChRgg0bNnDq1Kkb3t+1a1e6du2aqveNioqiSpUq/2iKqV/wYrVaadIkgXnz4MCBYM6ehSI6slVE3MTs/gjXlsukdh+KFK+/7s1LLzk5cqQqS5ZE0bx5wB29jojIP2WG/njtGvLml785c+YkT549XLgAK1cm4HL560tGEbmlVF95Gef7Gf5r58aU25OTb39X2tvl67sV2EHu3M5bPvZGOnasCezB5bKzYMGdvYaIyI2Y3R/h2uY8d7IPBUDv3vcTGPgjAD16XCKdyhSRbCZz9MfbG7EGqFo1AoCjR4NIw+xzEclGUn3lVbZs2avTeU6cOHHDx6TcntrpOrcjX77ngEr4+NzZFo0NGzbEajUuGqdNiyLh9o56FRG5JbP7I/xzV/Cb73r7X6xWK6+/HgvEcfJkEebPT3JjdSKSXWWG/ghGcL+dWY8PPlgK2IvLZWXZsnQqR0SylFQHaz8/P+rVqwfA999/f939YWFhrFmzBoCaNWumsbzrJSUlAi4cjlTPYgcgMDCQWrX2AbB9ewAHDrixOBHJ1szujwAul9HW72QfihR9+z6Gr+9UAF56KZwkZWsRSSOz+6OxObjxheOtpoIDPPTQQ8ByAJYs0dQdEbm1O7ryevHFF7HZbCxZsuRfzTEiIoJBgwYRFxdHaGgoDz/8sNsKTWEEa/D3v/Ndx554ogqwCpfLyvTp4HK5pzYRETP7I/xz19s7G7EGY5Ohvn1jgQhOn87DjBlaNiMiaWdmf0xMvPazn9+tR6zvu+8+AgN/A2Dx4mTi491ekohkMXcUrMuUKcPQoUNxuVwMGjSIBx98kMcee4y6deuyZs0agoOD+eijj/5zDU1aJCamPVg3b94cMEZjvv02iagod1QmImJuf4RrwfpOp4KnGDCgG97enwAwcGD4vy5KRUTuhJn9MSHh2ijK7QRrm83GQw/ZgItERnqxfLnbSxKRLOaO5wp26NCBmTNn8uCDDxIbG8u+ffvIlSsXHTt25Mcff+See+5xZ51XpQTrtDTd4sWLU7r0LiCCU6fsapYi4lZm9Ue4tnnZ7Ux1vJng4GCGDQsErnDhQi7mzdM3kCKSdmb1x7i4a2ta/P1vrz82bdoQ+AGAOXPSoSgRyVLSdOVVtWpVqlat6q5abktKsHY47mzzshStWjXkvfdmAc8xZQo0b47OtBYRtzGjPxqM3piWqeAp+vV7jnffnU1ERGcGDz7EE0/cqyNnRCTNzOiPMTHXpt34+d3eBV+LFi2AbsAzLFyYTHy8jX8cxy0i8i93vruNSdwxYg3QrVs3wJjmuHSpi92701qZiIi5jCNqUoJ12kasweizI0YUBODo0fJ8/fWNd/IVEcnsro1YJ+Ljc3vXkAULFqRy5SvAZS5ftrFyZbqVJyJZgMcF68DAQBwOBzly5EjT65QuXZq6dXMCP+N0Whg/Hp3XKiIezfjiMeWc1rQHa4DevRuQN+8ywMbzz9u0J4WIeKTY2JSLvES8vW9/cObRR5uTMh189my3lyUiWYjHBesZM2YwY8YMAgMD0/xar7zyCvA+ALNmOfmPYxVFRDyCEayNEWt3BWuLxcLs2fmA08TEFKRPn8NueV0RkYwUG5syFTwBu/32l8q0a9cO+A6AH35IJibG/bWJSNbgccG6bt26NG3aFH9//zS/1iOPPEKjRjZgG/HxVsaPT/r7nEMREc+TlJTEtWCdtn0o/unBB++lVq0lAMyYkZvTp3VGoYh4ln+OWFutt79ZxN13303lyheBM4SH27jBEdwiIoAHBmuLxUJQUBBWa9pLt1gsfP75Z/j4fAzApEmxXLiQ5pcVETHFP6eC+/m5Z8Q6xezZzbBYdpGcHMTTT+9162uLiKS3lDXWFktSqoI1QKdO7YGvAJg+3c2FiUiW4XHB2t2KFi3KF188DBwlPj6Q118/qLXWIuKREhKSAGOKo7e3e9t7aGhB2rffAcDy5cXZuTPOra8vIpKe4uJSLu5SH6zbt2+PxfIlACtWuDh2zM3FiUiWkO2DNUCnTu2oUGEFAFOnerN6tbYIFxHPc20NIXh5uf9crM8/b42X11rAh6ee2uX21xcRSS/x8cZaP4slCZstdZe/ISEhNGgQAmzA6bQwY0Y6FCgiHk/B+m/ff98Sq/U0ycmhNG68jLFjp2m9tYh4lGsjMuBw3xLrqwIC/HnllUgAduyoyLp159z/JiIi6SClP1osSVgsqf/isWPHjsBUAL76yqVrRBG5joL130qUyMv77/sAkJT0Ev36VaBXrzfNLUpEJBWundMK3t7uH7EGGDmyMf7+WwAvnn5ao9Yi4hni468F69ROBQdo06YNXl4/ADEcOGBh7Vr31icink/B+h/69MlFv35JOByxQFUmTSrEt9/ON7ssEZHbEht7LVinx1RwAKvVyogRxnD4wYMPsGiRls6ISOaXMmJttd7ZRjpBQUG0aFEHMK4LJ092V2UiklUoWP+D3Q7Dhtn54gtfwAl0p2/fWURH69BCEcn8EhJSLhiTsdvTJ1gDvPTSveTKtRvw5vnn96fb+4iIuMu1NdbJdzQVHKBTp07ANAC+/97FxYvuqk5EsgIF6/8TGAht20LbtsbIT1jYK/TrN8jkqkREbu3aGuvUndOaWhYLjBmTA4DTpx9mxozf0u29RETcISHBCNZWa9ItHvnfmjVrRv78e4F9REZa+OgjNxUnIlmCgvUN+PvD6NFeeHklATX57LNzrF273uyyRERu6trmPMnpGqwBunQJJV++Q4AvffteIjlZO/mISOYVF5cSrO+8V3l7e9Ov38vAuwB8/LGL8HA3FCciWYKC9X8oXhz69rX//adRDB/+vqn1iIjcSsqIzJ1uzpMaFgt89lkuAMLD2/Dqq8vS9f1ERNIiMdEFpG3EGqBHjx7kzv0TcJiLFy288YbLDdWJSFagYH0TgwZBcHAiUILly8uyY8des0sSEflP/z5OJv3fr3XrYCpX3gzAhAmlOX06Kv3fVETkDsTHpwTrtM2uCQwM5NtvZ2Cx9APgk0+cbNmS5vJEJAtQsL6JXLlg1Chj91uX63VefvlTkysSEflv146TSc6QYA2weHF5bLbTOJ1Fadhwl852FZFM6doa6zvbFfyfGjVqxIgR1YCFOJ02OnSIJC4uzS8rIh5OwfoWnn0W7rvvCuDDypVVWLNmk9klsWxZMm+/nUxsrNmViEhmcm0qeMYF6wIFfOnf/wjgZO/emvTuHZExbywikgopU8FtNvd8+/faa4Np2HAeEM7Bg4EMHaoZOyLZnYL1LdjtMH580N9/epLOnV8nKiratHr27HHSuLGNoUNtfPDBadPqEJHM59pxMhkzFTzFqFG1CQ0dDcCnn/py+HDGvbeIyO1ISHDPVPAUFouFefMmkCePsZHZ2LHe7NjhlpcWEQ+lYH0b6tSB2rXjADtHjw7i5ZeH4jJpr4pWrc5e/XnMmBhNPRKRq65NdczY+dgWi4XJk6sCa3A6Hbz2mkatRSRzSUgwfnfXiDVAjhw5+O67psDPOJ0Onn32kmnXhyJiPgXr22CxwCef+ODtnQg0YOrU2mzceCbDm6fLBQcP5rv65ytXSjJ37rGMLUJEMq2EhIxfY52iUaOGlCs3H4DvvvPVyI2IZCpJSe6dCp6ifv16NG/+C5DIli25+OEHbTQhkl0pWN+m++6Djz+2A0k4nW159NHLXLqUsTXExDgB4wgwu/1PAFatOpKxRYhIphUfb/ye0SPWYIxaT5z4KLAEp9PBc8/FauRGRDKNayPW7m9Mkyf3x+GYDECPHpeu9mIRyV4UrFPhqacsDBiwGYjh7Nmy9O59hcjIjHv/M2dS1nY78fc3fr5wITHjChCRTO3aOa1p3/X2TtStW4cqVb4EEti0yZe1a00pQ0TkOi6Xcb3k5ZXg9tcuUKDA3+dZX+L8+Ty8914GXhyKSKahYJ0KXl7wxhs1KVLE2Kji22+DGDcOkjPoGvbs2ZRgHYW/f5LxU5SGhETEYNYa6396662ngTkAjB6tTSBEJHMoW/YP4ANKlVqVLq8/aNBz5M//GQBvv+3iwoV0eRsRycQUrFPJ39/Cp5/WA14H4N13k7h4MWPe+9w543wtiyUSX18jzStYi0gKd+96eyeaNm1K8eKLAFiyxM7Ro6aVIiJyVc6cUcCr5MqVPsdi2e12vv22DvAXCQk5eP75E+nyPiKSeSlY34GmTR/ikUf2AUeJibHzzTfODFlLGBZmjP5YrTH4+xtvGBOTwTsUiUimdW0quHnB2mKxMGLEI8B6nE4748a5f9qliEhqPfHEEzz++OM880yHdHuPBx98gHr1jC8Wv/8+Pzt2aLmeSHaiYH2HPv10AjbbdADGjw8nKn2+AP2XCxeMC1S7PYaAAOPCOTbWlv5vLCIeISVYu3vX29Rq164duXLNBGDy5KQM3YtCRORGihcvztdff83999dO1/f59ttO2GwrcLm8ePLJw9rEUSQbUbC+QyEhIXTunATEcvRoLiZPdqb7WuuLF41vPu32OAIDjZHquDj9FYqI4dpUcHOv5Ox2Oy+9FAqcJDraj6++MrUcEREAHA4HDocjXd8jJKQAL798CnCyZ09plizJ4CNkRMQ0SmVpMHLkC9hs7wDwxhuJHEnnk68uXzY2LPPyiicw0Piri49P338gRMRzJBktwvQRa4AePZ7BZjM28hkzJpJEzYgUkWzinXc6kCPHEgCeffaYRq1FsgkF6zQoWLAgXbpcAnYTFeXN4MEuYmPT7/3Cw42LZW/vBIKCjCngCQkK1iJiSErKHFPBAfLmzUvr1mFAHEeOBLJihdkViYhkDLvdzqRJ+YFkzp6txLff7jO7JBHJAArWaTRs2EBstl4AzJ1rYcECcKbTNW1EhHHR7OOTRHCwEawTE73T581ExOOkjArbbJljeOTVV7sAXwMwZkysRm1EJNt48slqhISsB+Dll7VDuEh2oGCdRqGhofTrVwOYBEC/fsnpdnZhZKSxrtrXN5ngYC8AkpIUrEXEkBKs7fbMkWBr1KhBmTK/APDrr17s329yQSIiGWjChEIAnD//IBMnbjC5GhFJbwrWbvDGG0MJCZkAnOTUKRszZpAuIzPR0Uaw9vd3kitXSrD20SiQiAD/XGOdOZqCxWKhf/8mwEpcLhvjx5s/RV1EJKO0bVuMu+7aCtgYMCCZpCT1QJGsTMHaDfz9/fnyywnAeADGjYtKl+O3oqPtAAQEQN68PgA4nX5q1CICQFKS8eWbLROdwte+fXv8/acA8OWXiYSHm1uPiEhGmjkzFEgkOvp+nnnmJ7PLEZF0pGDtJo0aNaJDh1ggmlOnApg503l19Mhd4uKMjcoCAizkzesLgMvlT1JSOp/zJSIeISVYZ5ap4AB+fn50714AOEJMjDdffGF2RSIiGeeBB/JRv/5WAL766l5OnrxickUikl4UrN3ogw+GYLd/AsCAAbEcO+be14+PN6Z/BwVdC9YQQHR0gnvfSEQ8UsqXeZkpWAP06tUTGAPA6NGJ6TKjR0Qks1qwoCo22ylcrkJ066a11iJZlYK1G4WEhDB4sAvYR1SUPy+9FO3W47cSEozp38HBDgoUCLh6++nTEe57ExHxWMnJmW8qOECJEiVo3PgEcIKLFx1MnGh2RSIiGScw0M4TTxwG4NdfK3LhQrzJFYlIelCwdrOhQ1/hrrveBWDRIn9+/tl9r52YaIxS58njRc6c3oAxBfzMmWj3vYmIeKyUYO3IhMfbv/zyC4DRGz/6KJkETbQRkWxk4sRqWK2ncDpDeO65TWaXIyLpQMHazRwOB7NnvwAYm/UMG3aGeDd9MZmc7AcYG5dZLABGoD53TsFaRP65xtrkQm6gcePGlCy5BrjIyZM25swxuyIRkYwTFORD8+a7AViwoCTh4dofRySrUbBOBzVqVOOJJ84AsHNnPnbuTPuu3S4XuFzG9O+QEGPk2maLASAsLC7Nry8ini852WjpmTFYW61WXnmlBzAJgA8/dOmoQBHJVj7/vDoWy2mSk0Po3Xu72eWIiJspWKeTCROew2pdDtjo2fMk0WkcVI6OdgHGwsmQEH8AbDZjAffFi1qrIyL/nApuMbmSG3vqqafIkWMmEM+2bRZWrjS7IhGRjFOgQE7q1TOmgc+eXYiYGJMLEhG3UrBOJ/ny5eOxx3YBSWzdWoTp05040zBwff58yi5oTgoWzAGAw2GMVF+8qMWKIgI2m3FygJ+fl8mV3Ji/vz/PP/8I8A0A77yDRq1FJFv54otqwBkSE0MYOvQvs8sRETdSsE5HH33UAZvNOGJm2LBYLl++89c6fTrlfJpIcuVKCdZGoI6I0DodEYFy5e4DoGTJUuYWchO9evXCan0fSGL5cty6waOISGZXsmQh7r33dwAmT/YiWZdwIlmGgnU6yp8/P88+ewk4x8WL/owa5SI8/M5e69w5Y8TaYonEbjemhHt7JwIQEZH2Ndwi4vl8fIwv3YKDA27xSPMUKVKENm3KAV8AMGyYRq1FJHt5991iQCwREcX5/vsrZpcjIm6iYJ3O3nzzFWy20QCMHWth0CBITEz961y4YEz7tlpjcDhSgnUSgNboiAgASUZLyLRrrFO88sorwNtAIps2wfr1ZlckIpJxmjSpSs6ciwEYMuSMydWIiLsoWKezAgUK0KOHExgKwLRpLo4fT/3rhIUZ075tthhsNuOvzcfHuIqO06bgIsK1YG2zmVvHrdSsWZMqVUKAuQB8+KG59YiIZCSLxcKLLxoNe//+Uuzbp2k7IlmBgnUGGDZsCDlyfAxsJiHBwmefpX7q46VLxjC3wxF79TYfH2MKeGys/hpF5NpsGIfD3DpuxWKx/D1qPR6AH390ceKEuTWJiGSkAQOaYbWuBGz073/M7HJExA2UyDJA3rx5ee+9d4GPAPjiiyhiY2/+nP936ZLxzaaX17WjtXx9jXQeF6e/RhG5NmKdGc+x/n/t2rWjaNFzwEYSEy188onZFYmIZJwcOXLw0EO7AVi6NM8d78EjIpmHElkGee655+jUyReIIjw8gD59ZqTq+VeuGNtGpmxYBuBvHGdNfHwmn/cpIhmiVi0IDITy5c2u5NbsdjuvvfYaMAGAKVNc2i9CRLKV996rCxwkKSmA9967aHY5IpJGCtYZxGKxMH36RIoUMb6dnDLlHN9+O/u2n3/l700jUzYsAwVrEfm3N96AXbugeHGzK7k9Tz/9NAULrgNOc+GChZkzza5IRCTj3HdfRYoXNzYx++STpDva3FZEMg8F6wxks9l4771qf//pSbp27cX8+d/f1nMjI43f/fyuBeuAAGPn38TETL6gUkQyTHAw5MljdhW3x8vLi8GD+wGTAPjoI6fOdBWRbGX48GJABBER+Zk7N/6WjxeRzEvBOoO1amWlcGEXUIj4+G9p124US5b8dsuLyeho46/Kz+/armeBgcZtCtYikiIwMPNvXvZPzzzzDHnyzAdi2bXLyty5ZlckIpJx2rdvhr//HACGDTtncjUikhYK1hnMxwc+/jjljNmGJCdvpE2bI7z22kEuX/7v50VHG7sRBQRcC9Y5chh/fUlJXulVrohIuvL19WXgwK6k7BA+ZIiTeA3aiEg2YbfbeeGFRMDJgQNF+OMPHb0l4qkUrE3QogV8+incf38iYCU+vivvvVeSpk33EhFx4+fExRnBOjDQcvW2wEDjNgVrEfFkPXv2JHfuycAlDh2y8sUXZlckIpJxBg5sh9VqrLUePPi0ydWIyJ1SsDaBzQadOsH06Q5GjrxCcPDvAGzceA+VK7/LsWMnr3tOXJw3ADlyXAvWwcFGoE5O9kn1udgiIpmFv78/I0f2B0YCMGKE86YzeEREspLcuXPTqNFeAH75JTcXLphckIjcEQVrk/j7Q5Ei8MILQaxdW5NKlZYCcOhQL5o0GXL13OoUiYlGsM6Z89oBtTlzGgspnU5fnE4laxHxXM888wwlSvwMHOH8eSsvvIC+MBSRbOPdd5sAO3A6fXjnnXCzyxGRO6BgbSIvL8iZE0qWdPDzz03JnTsBCGDfvi9p3Hgt0dHXHpuY6AtAnjzXpn2njFg7nb4kJTkzsHIREfey2+0MGdIP6AI4mTULvr+9QxNERDzefffdS4kSSwD47DMnCQkmFyQiqaZgnQk4HJA3L3z+uRd58oQDsHVrPV57bS8xMcZjkpP9AMiTx+fq83Ll8v77Jz8FaxHxeB07dqRQoUOkbGQ2cCDExppbk4hIRnnrrTJAGNHRuZgyJdLsckQklRSsM5FWrWDTpiCKFFkIwIQJpZg4MZq4OHC5AgAoUOBasM6dO+VnB9HROvxVRDybl5cXb7/9NjAcuMjBgzBhgtlViYhkjCeeeITcuecBMHx4mJbDiHgYBetMxGaDggUtrFjxAD4+3wF2Bg2ysWKFi5S/qpAQ/6uPz5PH9+rP58/HZHC1IiLu99RTT1Gx4l3A6wC8+y6cOWNuTSIiGcFms/Hee0WBRM6dK86SJeEmVyQiqaFgncl4e0OJEsF8+21eYAXJyT507JgSmpMpVCjH1cfmzOkHJAIQFqZgLSKez2q18uGHHwJfALsID4dhw0wuSkQkg3Tt2oQcOX4GoF+/IyZXIyKp4ZZg/eGHH1K6dGlKly7NxIkT3fGS2V6rVvVp3/5XII7w8JRR6t0EBwddfYzNZgOMQH3hQlyG1ygit6b+mHoNGjSgRYumQD8Apk+HP/80tSQRSSfqkf9msVh49VXj1Jd9+8qxd68GTkQ8RZqD9aFDh5gyZYo7apF/sFjgiy9ew99/3tXbcuacgLe31/89zmi4Fy/GZ2h9InJr6o93buzYsTgcK4GfSEyEtm0hLMzsqkTEndQjb2zw4Ifw8toGeNGjxx9mlyMitylNwdrlcvHGG2/gcDioWbOmu2qSvwUE+DNpUjEgDJvtJ0aNaoaXl+1fj7FajZHqy5d1LoNIZqL+mDalSpWid+/ewPPYbOfYv98I1zqCRiRrUI/8b3a7nY4djW8S16wpRViYBk9EPEGagvXcuXPZsmULL7zwAiEhIe6qSf6hc+farFoVxg8/lKRdu+bYbP/+K7PZjGB95UqiGeWJyH9Qf0y7N954gzx5YkhObozdnsjq1TBoENopVyQLUI+8uXHj6mK1nsDpzEuHDmvMLkdEbsMdB+tLly4xZswYSpYsSZcuXdxYkvy/WrXKcv/9Jf9xbvU1drvxLWZ4eFJGlyUi/0H90T2CgoIYNWoUsBO7vScAH34Is2aZW5eIpI165K3lyOFLp06HAfj110rs26e1MCKZ3R0H61GjRhEeHs6wYcNwOBzurEn+j8MBwcHGuuvr7zPmRUZGKliLZBbqj+7TrVs3KlasSFzcFEqU+AmA55/XZmYinkw98vZ8/vkDeHkdBnLRtu06s8sRkVu4o2C9fv16Fi5cyCOPPEL16tXdXZOkgpeXEayjopwmVyIioP7objabjUmTJmGxWDh06BFKlrxIZCR06ABxOgxBxOOoR94+b28bAwZEA7BrVwOWLPnD3IJE5KbsqX1CfHw8w4YNIzAwkIEDB97Rm06bNo1p06al6jlOp4LjjXh5JQMQE6NFhyJmU39MH7Vr16ZPnz6MHz+e8PAGBAVtZ/duKyNHwogRZlcnIrcrrT0yO/bH4cMr8NFHB7lypSQdOhwmLKwsXl5et36iiGS4VAfriRMncuzYsb83lclzR28aFRXFuXPn7ui58m+BgREAhIUFmFyJiKg/pp933nmHRYsWcejQTqpW/YQtW3rz3nvw2GNw331mVycityOtPTI79kerFWbMCKZVK4iIaEOXLpP45pueZpclIjeQqmCdct5guXLl6NChwx2/aUBAAPnz50/Vc5xOJ2E6xPQ6oaHn+esvOHEiL0lJYE/1VyUi4g7qj+nL19eXGTNmUKdOHbZs6UO5co+xe3dBuneHdeuMvShEJPNyR4/Mrv3xkUdyc//9h1i7tgTffluTl17aRvXqlc0uS0T+T6pi2JtvvklycjJvvvkmVuudn9TVtWtXunbtmqrnREVFUaVKlTt+z6yqUaOcLFsGly8XJCoKcuY0uyKR7En9Mf3Vrl2b/v37M3r0aE6ceBhf3z/YssXKuHHQv7/Z1YnIzbijR2bn/jh3bnFCQ6NISqrEo4+O4cSJ+9L0b42IuJ/F5br9E0GrVq1KTEwMwcHB190XGRlJfHw8fn5++Pn5UaBAAebNm+e2QlMa49atWwkI0LTnFIcPH6FEiUAgDwsWRNGypf63EbmR9O4h6o8ZIyEhgWrVqrFz505KlZrAgQO98feH7duhVCmzqxPxXFm1R2al/vj225cZOjQYiGbIkPm8/XZns0sSyRZut4+k+quu5ORkLly4cN2v+HjjPOWYmBguXLjA5cuX77x6uW3FihXF23sXAF9/fYSEBJMLEsnG1B/Tn5eXF19//TXe3t4cONCXu+46Q3Q09OgBHr5HkUiWpx6ZNq+9FkyxYscBf959tygnT541uyQR+YdUBestW7awb9++G/569NFHAejbty/79u1jxYoV6VKw/JvFYqF0aaOxfvfdXUyffpi//30SkQyk/phxypcvz4gRIwAXZ882w+FwsmIFTJ1qdmUi8l/UI9POaoUlSwpiscSSnFyH5s0Xm12SiPyDFmdkARMmFMdqXYfTmYMePXIxZMhxjh2DxESzKxMRSR/9+vWjXr16xMf/Qa5cEwEYMAD27ze5MBGRdFSmjJ3evY0BlZ07n+DLL9ebXJGIpFCwzgLq1avOihUF8PbejsuVkw8+KEKdOgksXw5XrsDtr6IXEfEMVquVmTNnEhQUxLlzL5M792kuX4aGDeHIEbOrExFJPx9+WIx8+fYDATz/vI1Ll6LMLklEULDOMurUKc7q1YXIkWMicJYTJ7xo2dLFiy/CqVNaeygiWU/hwoX59NNPgSQuXapFvnyxnDgBjz4KUbrOFJEsymqFxYvzYbFEEh9fnQce+M3skkQENwbrd999l3379vHCCy+46yUlFaxWqFo1H7/80oScORsA80lOtvD11/Doo06OH9fItYhZ1B/TT/v27enYsSMu13Gs1kYEBTnZsQO6doXkZLOrE5HboR6ZelWr5mTgQGN6zt69LRgwYK3JFYmIRqyzEKsVqlcvwQ8/TCcgoCvQHIhgyxYrrVqd5/x5hWsRyXomTpxIkSJFOHt2LffeOxKbDebOhfbt4eJFs6sTEUkf77xTkXLl1gAwZkwZNmw4b3JFItmbgnUWY7EYa6537drNCy/cg79/eyCWnTvz0bTpPg4fhshI41dsrNnVioikXY4cOfj666+xWq2sXv0G7dtvwmIxwvVTT+kLRRHJutasqYa3925crtw0aXKOhAQ1PBGzKFhnUXfdVZiPP36fP/+cQuXKHwPJbN9emnvuieShh+J44AEYNgwOHoS4OLOrFRFJmwceeICBAwcCsGhRYz799MzfR9PAsmUmFycikk5y5vRm7lwHEEFERAVat15tdkki2ZaCdRZmsVgoViyE1atfoU6dacBREhMD2bzZh5074f33oVo14+xXhWsR8XTDhw+ncuXKXLlyhXffvZ+2baMBY9R640aTixMRSSctWtxNmzZGk1u6tDaDBu02uSKR7EnBOhvw97fx00/PMnXqUUJDuwMvAC9gtx8lPBxeegkWLdJ0SRHxbA6Hgx9++IHQ0FCOHDnCiRMdKF3axblzUKcOjBihPiciWdOcOQ9RsOAKwMHo0aWZMeOY2SWJZDsK1tmEnx+0b1+ftWs/YfjwiuTKNZekpJLYbN+TmAiDBkFMjNlVioikTWhoKL/88gve3t6sX7+QDh0m0aABJCbCG2/A0qVmVygi4n42m5Xdu2uQI8dywE63bhbWrdPujSIZScE6G/H1hdBQL4YM6cGuXbuoVq0qycldgCgOHYLp008SH292lSIiaVOmTBlGjRoFwMiRLzFw4G88+aRx33PPaadwEcmacub0Z9Omithsx0lOLkLdug5+/1071YpkFAXrbMhmg5CQfCxf/gtPP90Gi+UbAPr0iWDgwBPs3QuXL0NCgsmFiojcoZdffplHH32UxMREnn32Kd5/P4rQUDh1Cnr10pRwEcmaSpfOx5IlsVitW0hOzkGjRpc5dkzhWiQjKFhnYzly5GDq1CnMnFkTiyUap7Ms48eHUqFCEo8/7uKrr4xjuUREPI3FYmHGjBkULlyYEydO8NZbrzJtmnEk4axZMHGi2RWKiKSPxo1LM3duAhbLEeLjC9KkyTqzSxLJFhSsszmr1cqTT1Zk6dJo8uT5GNhDcrKdX3+18OyzMHDgKSIizK5SRCT1AgIC+OyzzwD47LPPuHBhNn+fyEWvXtC8OZw7Z2KBIiLp5NFHazN8+HkA9u2rx+jRv5pckUjWp2AtANSvn4+1a5/jpZcW4eNzPzAFgEmTQmjUaDE7d8YSEWFsABQfj9Zii4hHaNasGX379gWga9eutGixnk6djJHrJUuM3cJPnza5SBGRdDB0aA2KFt0J2Bk8uCI//6xvEkXSk4K1AODtDaVKeTFy5AC2bJnH1KkFyJt3PmBl06bm3Huvnfr1zzNwIDzxBEyYAOfPw5UrWqsoIpnb+++/T4MGDYiNjaVFi2b06rWJ5cuhQAE4cACefhqSk82uUkTE/dasuRtv7924XHl55JEYTp3SETAi6UXBWq6yWIxjucqVK0CXLs3ZvfsRmjffgMVyAnCwfXs+PvwQfvwRBgyA0FDo0gXOnFG4FpHMK+V86ypVqhAeHk7jxo3w8lrD99+DwwHLl8PYsWZXKSLifoUK+bBsmTcWyykSEopRufJmEhP1TaJIelCwlhuyWCBPHjtfflmT5ctd1Kv3OjACmAssxGpNJCEBfvgBOnWCw4eNc7CdTnPrFhG5kcDAQH799Vdq1qxJREQETZo0ITr6V0aONO5//XXYtMncGkVE0kOdOiUZN+4CkMj58/WoVWs+Lo2IiLidgrX8J4sFcueG6tWLMGfOWyxa1JJ69b4EHsHpzIm39zPYbEmsXAl168LLL8PKlRCrUx1EJBMKCgpi+fLl1KtXj5iYGJo3b07Zskto1Mg4XrBnT2MfCRGRrKZPn3vp0GEXAFu3Pk6TJstMrkgk61GwllsKCIB8+aw0a3Yfixf/wLx5iyhRohDx8VNJTq6Ht3c4p0/D55/Dww/D/Pm6OBWRzMnf35+lS5fSuHFj4uPjadPmUbp2XYu/P2zbBoMHa+aNiGRNX39diTp11gOwbFlj2rXbYnJFIlmLgrXcNosF/P1ttGnTnF27djJq1Cis1g3ExxciNPR1ypaNICnJOMZm61ZdnIpI5uTr68vChQtp0aIFCQkJ9O7dipdfvgDABx9A/frw55/m1igi4m4WC/z2Wy0qVVoCwHff3cf48ZtNrkok61Cwljvi4+PD4MGDmT17Nr6+cOLESPbuDSF//tOEhxubmu3fb6y71m67IpLZeHl5MXv2bCpUqMDFixf59tuavPFGJA4H/P471KsHa9aYXaWIiHtZrbBpUxMKFFgN2Hn55RzMmfOz2WWJZAkK1pImbdu2Zdu2rTRr1gyXK4Zz56pjtV5g3z5o0AA6doTNmzV6LSKZj5+fH4sXL6ZgwYIcOnSIH3+sw6+/RlKxIly+DG3bQliY2VWKiLiX3W5j06ZqOBxhuFylad8+ig0btppdlojHU7CWNCtTpgwLFizgvffeI0eOKJzOxsARzpwxdg3v3BlOn9bItYhkPqGhoSxfvpzg4GB27NjBa681Y8mSeIoVg3Pn4MUX1btEJOsJDfVl8eKcWCxJuFyPUb9+PAcPnjW7LBGPpmAtbmGz2ejfvz+7d+/ikUeKAPcCz2GzxXHwILRuDevW6QJVRDKfe+65h6VLl+Ln58eaNWvo2fNxPvssGYsFvvvOWNoSFWV2lSIi7tWokYMpU6KxWCKJj6/Nffdt4Nixk2aXJeKxFKzFrQoXLsz8+fN4++3XsFqnkpzcEosllq1boX17F/v3Q2SkpoaLSOZSo0YN5s+fj5eXFwsXLmT27OcZP96FxQIzZ0KVKnD+vNlVioi4V9euQUyaFA4kER3dmnvv/ZJTp06ZXZaIR1KwFrez2WwMGTKIhQsXkDfvDlyue4DDnD5toWrVRLp0gY0bISnJ7EpFRK5p0qQJX375JRaLhSlTphAb+z6zZkGePMZmjE89pb4lIlnP88+H8tprVwC4cmUQ1at/SmRkpMlViXgeBWtJN82aNWP79u106lQfh+NJ4BwxMQ7mz4cWLeDAAXC5zK5SROSa9u3b88477wAwaNAgbLZ5zJ0LDgf8/DOMHGlygSIi6eDtt3Pz+ONXABunT4/gnnu+JCJCa2BEUkPBWtJVoUKF+PLLqezdO4uaNZ8C6mGx/MWlS8Z518ePa921iGQuAwYMoFu3brhcLjp27Eh8/C+8/75x34gRMGGCvhQUkazFYoFZs4Jo2/Y0AKdO9aJatR9wqdmJ3DYFa0l3VquVEiWKsnjxfGrVsuByPQkksWIFNGwIe/dCXJwuVEUkc7BYLHz66ac8/PDDxMfH06pVK8qWXU6nTsYXgX37GgFbPUtEshKrFebMKUiXLocB2L+/E/Xr/6R9cURuk4K1ZJhcufz57bdfePLJckBr4CwHD0LduokMGGCMXsfGQmKiyYWKSLbncDj44YcfaNSoEXFxcbRq9QhPP72Svn2N+4cNg7FjFa5FJGuxWGDatOLUrbsFgNWrm1Ky5E4uXFCzE7kVBWvJUF5eXsyYMZ3eve/Gam0EhHP5soOPPoKiRaFxY1iyBOLjza5URLI7b29vFixYQIMGDYiNjaVVqxa0arWaPn2M+/v3hxkzzK1RRCQ9rFxZlaZNfwHiOXKkIiVLnmPPHoVrkZtRsJYMZ7PZGD/+A9au/ZJ77+0JjAaMYeo1a6BTJ5g7FyIiNBokIuby8fFh0aJF1K9fn5iYGFq2bMZjj62hWzejP/XsafQtEZGsxGqFxYsb06fPj8AJrlwpQJUqsfz6q9mViWReCtZiCovFQs2alVm37isGDHBhTA1fitWaSFSUcazNoEFw5ozOvBYRc/n6+rJo0SIeeOABoqOjad68Ke3araBuXWP5SpMm8OqrcPSo2ZWKiLiPxQLjx7dj8ODFwGbi4vx4+OFEFi0yuzKRzEnBWkzl52fnnXcG8f77TYBmOJ058faejdMJkyZBgwYXOHBA4VpEzOXv78/SpUupXbs2UVFRPPJIU9q3n0Pt2hATAx98APXqwfnzZlcqIuJeo0b1oG/fH4HFJCU5aNs2kV27zK5KJPNRsBbTWa3w6qt9eP/9cfj4uIiPbw90AKLYty8PDRue4+xZSEoyu1IRyc4CAgJYtmwZLVq0ICEhgRdeeILGjUczbpyLggWNDRg7dDBGsUVEspIPPxxBhw7zgNXExzto2PAihw6ZXZVI5qJgLZnGq6/25fjxY8yZ8x2jR99P5cqvA5c5eTI/Vav+ydSpCYSFQXS0ceF64oQxUiQiklH8/Pz44Ycf6NmzJwBvvjmI48f78803Lry9YcUKaN/eOJZLRCSrsFgsfPnlZzRu/CVwnnPnclOuXCTr1mlKoUgKBWvJVPLmzcvjj7dlwIBerFw5hoYN5wJw5kwFnn/ei3vuiaJZs3CqVnVRsiR8/jmEh18L2hcvamRbRNKXzWZj4sSJvPPOOwCMHfsBq1e/zbffgsMBCxbAe++ZXKSIiJs5HA5++mkyPXp8BWwjPj6QBx+MY+tWsysTyRwUrCXTypHDzsKFz/LSS79gt38BRHPxYgCrV+dkzx4LCQnw6qsuHn4YHn4YihSBhx6C5cs1ki0i6W/QoEG8++67AAwbNgyXaz4jRxr3DR2qo7hEJOuxWCxMmtSPMWN2AOtJSPCjXr0IDh/WMS4iCtaSqfn4WHj77cb88ksDGjd+hQIFnsdufxMYBiwgOdnCxo2werXx+B074NFHYfx4CAszRrJjYrT5mYikj4EDB/LMM8/gcrno0KEDoaGz6dDBmAr+zDMwc6bZFYqIuF+/fl3p128VsIfo6Bzcd99J1qyJM7ssEVMpWEum5+8PdeqUYM6cSaxaNZY1a3oxZEh+/P07AmWBZ7nnnjlMmhTF/fdDXBy89ho0aGAc29W3L+zebazN1rnYIuJuEydOpFWrViQkJNCx45PUqjWJNm2MZSlPPw2dOsFHH2kmjYhkLWPGDOK119YCp4iMDKVOHR9efjnC7LJETKNgLR7BboegICt33+1PlSp5eP31F1i9+nceeqgYFstU9u59grfeKkuVKm/RvPlufHxc7NoFc+fC5Mnw4IMwerRxLrbWYIuIO3l5eTFv3jyefvppnE4nffq8QIUKI+nQwZgt8/XX0KcPNG0KEbrmFJEsZOTI7nz22WHs9h8BGDcuB2+8kWByVSLmULAWj2O3g48PVK58Hz/99CMLFy6kUKHCnDlzggkThrF4cXkSE0MpXnw6FSpsJDg4nIsXYcQIaN0ali2DyEizP4WIZCU2m41p06bRr18/AIYPf538+V9h9mwXjz8O3t7GkpUBA0wuVETEzZ57rg7bt5fBx2cUACNGeDFkSJTJVYlkPAVr8Wh2u53mzZuzY8cfvPHGG7Rs2ZKSJUuSnHyKw4e78uefNbl8OR92+yvYbHFs3gwtWrgYOBB++83YSfzKFWOKZoK+YBWRNLBYLIwZM4ZRo4yLy3HjPuTQoXeZPv3aRmZTpqAddEUkyylfvjQ//1wHh+N9AEaNCqBTp4uaJSjZioK1ZAm5c+fmzTffZM6cOWzfvp3Vq1fz3HPP06pVG0qWLEZS0ockJ5cHvsfptDBpkjE9vFQpYy129+7w5ZfGhmfa6ExE0mLw4MGMHj0agCFDhrBkyVzatTNOL0hKgo4djWMCRUSykrp167B588MEBhrnDX79dW5q1z5PYqLJhYlkEAVryTIsFgs+Pj4EBARQp04dJk2ayLffzuSPP7Yxb958nnyyDl5eHYG+WCxh+PgkEx8P27bBN9/Ac88ZO4ofPap12CKSNv3796d79+64XC46d+7M/Pnz+eILyJsX9u0zNjRLTja7ShER97r33grs2/cURYoMBuLYvDkfdersJUozwyUbULCWLMtqteLr64u/vz9t2jzKl19+wapVqylWbAkuVz7i4725666W5Ms3hBIlVuDt7WTtWmjTBhYsgFOn4PhxY5dxEZHUsFgsTJw4kUaNGhEXF8djjz3G55+/waxZThwOWLwYunbVZmYikvWEhBTgr7/eoHLlTwDYuPEe8uaNpl8/l75QlCxNwVqyDbvdTs2aVdmyZSPNm7fG5Urm2LFFnD8/ikOHHiIpqT52eyw7dsBjj0Hhwi5KlUrihx+i9A+BiKSa3W5n8eLFdO/eHYARI0YwenRT3n7bGLr56isoXx6WLjWzShER9/P19WXz5pd55JEvgSPExfkzdqyFV1/VuaeSdSlYS7aTK1cufvjhO9atW8eUKVP45JOJVK9eg+Tk30lKKgd8DcQAFhIS7HTocJzmzZ9g5869uFzGGux/Bu34eGO9pM7JFpH/53A4+Pzzz5k0aRLe3t788ssvTJ1alc8+u0BIiLGBYrNm0LOnpoaLSNZitVr58cenGTlyAdATgHHjLMyapc1sJGtSsJZsyW63U6tWLbp160bPnj1Ys+Z3fvjhB2rUKECBAoMoU6YJlSu/iNV6ESjLzz+/SJUqw+jS5QuGDUtm1SpjF/HFi6FePaheHfr3h/Pnzf5kIpIZ9ejRgzVr1pA/f3727dvHqFFVmTPnEB07Gvd/+qlxFJc2TxSRrOa11/oyZkxJYCwATz0VyU8/6SgWyXrsZhcgYjaLxYLD4aBVq1Y0a9aMiIhooqON0eo1a6z07JlEXFxdkpLqXj0y5513LlG+/Dx27nwGl8v4furAAbh0CT76CHLlMkavrVbjl4hI1apVWbt2LQ0aNODYsWM0b16ZyZOnc++9jzJgAIwdC3/9BdOmQb58ZlcrIuI+/fr1Izj4a555ZjuJiZVo2tRJt24JjBvnRWCg2dWJuIcu+UX+weFwkDt3TooUCaJkSX86dvRl4UI7bdsmkz9/GGCcGZGcnIsdO7r/Haq/p3jxT7BYXMyeDY8/HsPMmU4GDoQ//jCmiEdHa5qniECJEiVYv349VapUISIigg4dHidPnmm88w7Y7bBkCdx7L3z2mUavRSRr6datI3PmXMJmmwFYmTrVi/Llk9m40ezKRNxDwVrkJhwOqF0b3nvPxq+/5mX9+jhGj15F0aKnAbDbDwFPcfhwL1yuZ4FEVq3yo0sXK2PHQo0aTh5+2MWrr8KqVXD5srEmW0Syr4IFC7Ju3TqefPJJkpOT6datGxcv9uenn5zcdRecPQs9esDbb5tdqYiIez3++EOsXFkCX9+2wEmOH7fRsKGTFSvMrkwk7RSsRW7Bzw9CQ+Guu6B06UCefbYea9cW5Oefk/nllwL8+ONPVK1ajZw5v6dAgSeB3wHjIOykJCtr1lj49FNo1MhFq1ZJzJ3rIjra1I8kIibz8vLiq6++4uWXXwZgzJgxfPBBC1avjuGFF4zHDB8O8+ebWKSISDqoU+d+1q17ndy5HwRWExVlpVkzJz/8YHZlImmjYC1yG+x2CAiA4GBj/XS+fFC5so1Spfxp1ux+1q1by8GDB9iyZTLr15dm1Kg5VKnSCZvtfeBV4GecTgu//26nU6dEunf/jsOHzxIXZ4xiX7oEGzbA0aPGDuOJieZ+XhFJf1arlbFjxzJ16lS8vLxYunQpjz1Wj379jtOxozEVvGtX2LbN7EpFRNzrvvvuY8OGpRQu3B1YQny8lccfdzJtmtmVidw5BWuRO2C3Q548ULiw8bOxNjs3hQoFUblyPrp3f5LFi6eweHETWrYMo3LlkXh7VwF+ALz49ttm3H33TCpXPkGlSi6KFYNataBcOejUycnPP0NYGEREGGuz//8YL5fLWLcdG2uEcK3FFPFcXbt25ZdffiEoKIgtW7ZQuXJFmjWbT9WqRg94+GFYudLsKkVE3KtkyZJs2LCC0qUHA7NISrLSrRsMGQJJSWZXJ5J6CtYibublZYTu/Pm9adiwIt9+O4VfflnKnj0rWLiwPKGhhwB/kpNfZe/eUI4dsxARYTw3JgYWL7bSsqWTsmWjeeEFmDkTtmy5NoodHw+vv55IjRoX6N59P0OGJLF/v2kfV0TcoF69emzcuJF7772XK1eu0LHjY7RsOYkyZYwv2Ro0gKpV4dtvr/+iTUTEUxUqVIh161ZSo8ZHwHgARo2CRo3QsjnxOArWIunIZgN/fzu5c/tTvHgQTZuWZM2a4jz5ZDz58x/Ay+szoCPQF8gH1ALmAFYuXPDn66+hSxdjxGrrVjh0COrXj2fUKAe7d+fh66/v5v337Tz99Bni4kz8oCKSZqVLl2bjxo08//zzAAwb9gKdO0/m8cfBYjF6wJNPQvv2cOyYycWKiLhJrly5WLVqBW3a/A50AaL47Td4/HEXCTruWjyIgrVIBrLZoHBhC2PGeLN8eUl++60Dixe/zjvvVKNjx7YMGPAIU6fmoVGjV4BHgF8AYw12rVpQsiRs2OANRAHjsVqPArBpU35Wr47VSJaIh/P29mbSpEm89NJLAAwZ0p2SJYeyZUsyzzxjPGbOHChbFl5/HaKizKtVRMRdvL29+e67OfTrlwdoCcSxdKmFp55K1nI38Rh2swsQyW6sVsifH/z8LFitOfDxycFDD92Dy/UEVqsLcNCy5YPMmjWXYcM6c+lSDmATEPz3KyQTFNSbjz7qTmioN40bLyUxsSnPP3+COXPu5uJFY6O14sWN97HZzPusIpJ6FouFsWPHkpiYyCeffMI777zNrl07mDVrLo895sWgQbBzJ4wcCR99BM2awbhxxn/vIiKeymq1MmbMGIoV+4Q+fZ7E6fyO2bNtBATE8fnnPlg1HCiZnP4vKmICqxWCgiAw0Dgr29sbfHwceHl54eVlIU8eC716Pc7Bg0dYsmQ6r7wyl4YNh1CqVBvuvrsDkye/QIsW1ahWLYR+/aKBBI4evZvq1aFpU6hTBxo2hCNHtB5TxBNZLBY+/vhjvvjiC7y8vFi4cCF16tQiJOQP1q2Djz+GkBBjc7NZs6BKFZg9W/+9i4jne/HFF/nhh654eb0IwJQpPrRsGcXGjSYXJnILCtYimVhwsB9Nm97PyJHPMmnSmyxe/BXffTeZhx6qRHCwA39/GDmyDYUKTf37GcnY7eFYLMns3QtPPhnG6dPxJCUZG6NdugQnTxpHfGk3cZHM79lnn2XevHkEBgaybds2qlWrxocfvk3Pni527zY2MytSBE6dMtZejxljdsUiImnXsmVL1q59loCAgUAyS5YEULMmPPCAi4MHza5O5MYUrEU8gI+PhRIlHJQq5U+FCjkIDr62isNqtbJ0aUMKFHgOKElSUjAu1/1AIps356Vw4Vnkzj2CEiX2ULJkMsWLQ/fuMGEC7N5t7DIuIplXixYt2LVrF82bNycpKYmhQ4fyzDPdcDov8sQTsHkzPP208djXXoPvvze3XhERd6hatSp//tnz77Ou5wPxrF1roWHDJM6cMbs6kespWIt4CIvl37//U4UKJdm27WO++24Wr776Jl27VqNUqY/+vvdpIiKGcvZsWS5ftpGYCPPmwauvQu3aEYwbt5uoKGP+qMtlbIYUGQnh4QrdIplFkSJFWLRoEaNHjwZg+vTpFC9enHfffYccOeL44gt47DHj7Ncnn4RPP9WMFBHxfEWLFmX//k8YPHgHXl6VgOMcO2anXbtknXUtmY7F5UrdiiyXy8XWrVv59ddf2bp1K4cPHyYuLo6cOXNSqVIlOnbsSM2aNd1eaFRUFFWqVGHr1q0EBAS4/fVFPJ3LZVxIWyxOEhMTiYlx8dFHTn780UlERARXrkwnLOxHIAfwHFAXyA9EU6jQaN599yH27KnH2rXGVHGbDYYNM4768vG59h5w43Cf2WVED1F/lIywdOlS+vXrx969ewHjwvPHH3/k7rsr0rIlLF9uPK5MGfjgA2NzM5FbSe8+ov4oabVt2zbq1XuBqKgVgB+DBsXyzju+Zpcl2cDt9pFUB+v169fTpUsXwJiCWqRIEfz8/Dh69CgxMTEA9OzZ8+pRIe6ixiiSehERcPq0MYoVHx/DypXfs3XranLnLsiJExdZtaozV65U+/vRMYDfv57vcCTz3XdWGjSwcPw4HDgA+fIZx37lygV2DzpXICN6iPqjZJTExESmTJnC8OHDOXv2LP7+/gwYMIAXX+zHmDH+TJhg7Ktgsxm7h/fvj3bUlZtK7z6i/iju8Ntvv9GkyTwSEj7CYkni11+tPPigmpukr9vuI65UWrt2ratRo0aur7/+2hUeHn719vj4eNcHH3zguvvuu1133323a8WKFal96ZuKjIx03X333a7IyEi3vq5IVhcV5XKFh7tc0dEuV1KS8d/qlSvxrosXE1x79sS42re/6PL2vugyxqMTXPCBC551wRoXuFxW63GXn9+Bv+83ftWp43Jt3uxyXbnicjmdZn/C25MRPUT9UTLa+fPnXbVq1XIBLsCVP39+13ffzXcdPuxytW597b/ZSpVcrrfeMvqByI2kdx9RfxR32bhxk8tq/c4FLpe3d4xr8WKzK5Ks7nb7SKq/4qlYsSJLlizhySefJCgo6OrtXl5evPLKK9StWxeAOXPmpPalRSQd+PsbR3v5+RmjV15eXuTI4UWuXA5Kl/Zl3LhcbNiQk+eeW0WLFh/z3HOXefXVMtSv/ylwGqczlJiYkoATOAMk8/vvULt2NL16HeT8eRcxMVxd65SYCMnJ5n1eM6k/SkbLmzcva9asYcqUKYSGhnLu3Dkef7wNI0Z0Y/LkCN54w1i6sX07vPEGFCwITz1lnBAgkpHUH8VdqlevxjvvXALWER/vS/Pm8MQTLnbuNLsyye5SHawDAgKw32T+5/333w/A0aNH77goEckYVivkzQslSlgZOrQe77/fi7fffp0RI15iyZIpfP21F9WrH6ZWrS/x8SkKFATuA3aSmOjPV1+VJCRkIaGhw3nqqWmMGXOUkSNhwwZjAzQwAndEhLEpWlan/ihmsFqtdOvWjb/++ovevXtjsViYNm0apUoVpUyZWWzeDG+9BQUKGP8tfvUVVKsGx4+bXblkJ+qP4k79+3fntdd+A74AYM4cC7Vru/jjDzOrkuzO7YsS4v/eRtgnZbcjEcnUrFYIDIRChaBECQd583rj42PD19eLdu3yMHt2cSZP7symTbtYtWo3s2d/yPDhWyhZcjrgxOV6hEuXhvHtt13p378ow4dD3bqJPPnk90yduoa2bROpUyeJAQPOceFCAjfb1SEqyhhJi47OqE+fsdQfJT35+fkxYcIElixZQokSJbh8+TKdO3fizz+nM2gQ7NljhOoCBeDwYXjkEbhwweyqRQzqj5IaFouFkSNf4+OPk7BYagIbiY620KxZDGFhZlcn2ZVbtx5yuVz89NNPAFSuXPk/Hzdt2jSmTZuWqtd26twQkXRlsYDD8e/b7HYICQGXy4q3dw4slrJAWeLj4amnElm6NJxff41j+/ZYjh/PRVKSAziI03kfixa1ZNGiay1m5878fPXVcAYOLMf9999LpUol8fW1kJhovO+0afD3SUL07Wucte3vn2EfP92pP0pGefjhh9m7dy9dunThm2++oWvXrqxZs4aPPvqIjh19qVAB6teHHTugZk3o3Bl69YLcuc2uXLIr9Ue5Uy++2JN77ilNx47Pc/bsAs6cKUKVKgdYv74EhQppUzPJWG4N1nPmzGHPnj04HA6efvrp/3xcVFQU586dc+dbi0g68fa+8W133eWgQ4dcNGwI8fEuYmPjOHnyMCtXLuP7752cPJlycXQSOATUIypqGEOHAoTj5TWbggUd5MhRisDAUNauDb76+gMGGFPUW7SAHDmuP97L5TKmmNtsnrPTsfqjZCSHw8GMGTMICQlh7NixTJkyhbVr1zJ9+nRq1KjB4sXQujUcOgRvvglffAFTp0LjxmZXLtmR+qOkRYMGDdizZyWPPz6aX38dxokTpShaNJoFCxw0bepldnmSjbgtWO/evZuRI0cC8NJLL1GkSJH/fGxAQAD58+dP1es7nU7CNLdDJNOwWCBnTmNTtMREC4mJvhQpUo569e6hX79k5s+P5/hxKF8+noIFCzN//kW++cZFTEweICcJCe35/6V0efLMw2IpR1hYGZ5+2sULL1gYOhSCg40g7XQaU8UXLYKjR6FrVyhRIvMf+6X+KGaw2WyMGTOG+vXr06VLF/766y9q1qxJs2bNGDp0KBs21GTKFPjySzh1Cpo2NcJ2165GwPbS9ahkAPVHcYfg4GCWL3+X/v0XMGZMKElJlWjePI4nn4ynb19vqlW79WuIpFWqz7G+kRMnTtChQwfCwsJo0aIFY8aMwfL/Q0xppHMIRTyH0wlhYRAeboxuh4QY66fPnnUSGRnD1q3xfPfdFY4fj+T8eQfR0aFAP4xNSPyByUB7AEJDV1KzZg5stgqEh3uxdu21jdHKl4eJE6FiRWPn85sxq4eoP0pmcPbsWXr37s38+fOvTo196KGH+OSTzwkIKE7fvjBv3rXHBwfDiy8ao9k2mzk1S8Yyo4+oP0p6mDt3GU88AU5no6u3de0Kn3wCvr4mFiYe63b7SJrHecLCwujWrRthYWHUr1+fd9991+1NUUQ8i9UK+fIZI9o2mzGi7OUF3t5WYmICCA0NoFGj3MTGJpGUlEBERBxHj3bg9Ol7OHbsL37/fRR//bUG+JgTJx7kxIl/v76/fwTR0TnYtQsaNHDRr5+FgQONMJCZqD9KZlGgQAG+++47du7cyciRI5k/fz6//vor1ardx2effca333Zg5UqYMgWWLYPLl+Htt2HvXvj8c8iVy+xPIFmN+qOkl7ZtG7Fu3VYaN25LREQ7oB3TphmbNi5aBPp+RdJLmoJ1eHg43bp14/jx41SvXp3x48fj+P/dj0QkW7JY/r0+22Ix/jFL+QctIQHi4+3YbHaiovyoUuVBAgPrk5SURFxcIj/++CtLlvzIzz+XJTIymsTEX4DzwHaio1cCZYBPSEp6kNGjISEhnmHDvPH3h/h4Y0O0+HhjPbbdboyiZyT1R8mMKlasyOzZs9mzZw9PP/00W7Zs4cknn2Tp0qWMGzeOunVzERkJn30Gw4YZo9jr1xsjPa1aXb/fgcidUH+U9FajRhW2b3+PRo0ac/jwl8AcVq3yp0mTZH7+2aZwLenijoN1dHQ0zz33HPv376dChQpMmjRJRySIyG3z8rq2htPPL+VWCw6HA4fDQadOLWne3MmZM04iI+M5cCCW/ft3cO6cN8ePB3Hp0jl27mxOXFx/YDgffujN/v2byZ27Kj4+Fux22L8ffHygQgVo0iTjPpv6o2R2ZcuWZd26dQwePJixY8fy1VdfMX/+fLp3786rr77KkCGFqFQJevaEEyfg0UehbVuYNAny5DG7evFk6o+SUYoXL86mTRtp164dK1Y8DCxh3bpAHnggmlWr/G+5hEwkte5ojXVCQgLdu3dnw4YNlCpVipkzZ5IzZ850KO8arZERyZ5iY41zrX19wWp1YbU6cToTcDqdXL4czTfffM+bbzqIje1209ex2aIoUSL9e4j6o3iaZcuW0bdvX/bu3QsYO4p37NiRwYMHExR0N4MGGRucuVxQpAi88gr06HHjEwPEc2VEH1F/FDM4nU6++OILBgz4noiI2UAQZcpcZMuW3FnqWE9JP7fbR1J9UE1ycjIvv/wyGzZsoEiRIkydOjXdm6KIZF++vsYImb8/+Ppa8Pa24evri7+/P4UL56N//+fZtq01VasuBi4C64DFwCKgD/A6vr67SPs2jbem/iieqFGjRvz555/MnTuXatWqkZiYyPTp0ylTpgx9+jzB668fY9EiYxPC48fhpZeMWSBLlphduXgS9Ucxi9Vq5fnnn+evv6ZRrlw/4Ap//ZWbSpWOcP682dVJVpLqqeBLly5l+fLlgPF/1L59+97wcXnz5mXChAlpq05E5BYsFihdOheLFjVlz57zbN58iitXLpCYmMj27WdYteozYmNHYrXmB9J33pf6o3gqm83GY489RuvWrVmxYgWjR4/m119/Zc6cOSxYsIABAwawadMwJk2yMmkSHDgAzZsbx3ONGGHs0C9yM+qPYraQkBC2bZtIkybv89tvr3LgQDGKFInilVf8eO01q9ZdS5qlOlgnJCRc/fno0aMc/f+DaP9WqFChOy5KRCQ1LBbIm9dKlSoFKFfucXx9ncTHu3A4enLixFH693+FX35ZQnoHa/VH8XQ2m41GjRrRsGFD1q9fT79+/diwYQNvvfUWu3fvZurUGTz3nB+vvw7ffAM//GD8atcOvvgCcuQw+xNIZqX+KJmBl5cXK1a8xrPPTmbq1DrEx5fhnXfgm2+crF9vJSTE7ArFk7nlHOuMoDUyInKnkpOT2bNnD23bts2SPUT9UdKL0+nk888/p3fv3iQlJVGyZEn69+9Px45dWL/ei7ffht9/N3bdL1MGZs2Ce+81u2q5E1m1j2TVzyVpN336LJ59djHJye8ChahXL4YVK/ywpnqhrGR16bbGWkTE09hsNooVK2Z2GSIex2q10qNHDxYtWkTevHk5ePAgzz//PBUr3kN4+FwWLXIyd66xD8Jff0G1atCrl7HpoGd8bS8i2VWXLu1ZtaonQUGdgARWrfKjYcODJCWZXZl4KgVrERERuakmTZqwZ88e3njjDfLkycPhw4d5/PHHKVOmCCtW9Gb27GPUqweJicaZ135+kDcvvPgiLF+e8efIi4jcjvvvr822bVPIl+9NwMnKlSUpVuwvjh3TN4OSegrWIiIickt58uRh+PDh7N+/n1deeQV/f39OnTrFxx9/TKtW5enYcRqTJ7uuHl9z8SJMnAiNGhnnyG/dam79IiI3Urx4cQ4fHkKjRjOBGE6eLEOJEvG8+aaTuDizqxNPomAtIiIity04OJgPPviA06dP880331C1alWioqJ47rluzJz5EOvXh/HLLzBpErRoAXa7MWpdtSp07AgzZxrHdomIZBb+/v788stTvPrqQmA9yck+DB9u5Z57XHz8MURGml2heAIFaxEREUm1HDly0KFDB9atW8ewYcPw9fXlt99WUr9+GbZte49OnWKYNQt++80YsQZjJ/HOnaFoUejaFY0GiUim8v77TzBlyiGs1m7AWY4etdC7N9SoAefOmV2dZHYK1iIiInLHHA4Hb775JuvXr6dkyZJcunSJQYMGcvfdJfnll++pXdt19ViuZs2gbFljY7Pp0+GBB2DnTpM/gIjIP3Tr1on581sTEFAFGIDFco69e+H+++GPP8yuTjIzBWsRERFJs3vvvZfdu3fz8ccfU7hwYc6cOUObNm0oVaoUY8eOonr1M8yZA2vWwIwZ4O9vrLuuXNmYMj5lCiQnm/0pRESgVatH2L59FZUrr8Dlqg+c4tAhqF3bxaefakNGuTEFaxEREXELLy8vXnzxRfbu3Uvv3r3x9/fn0KFDDBkyhCJFijB06Ct4e8fQuTOsXw/16xthevFiePZZYx32G29oyqWImK9kyZJs2LCeQYNaY7VWBZYTG2uhZ09o0AD27jW7QslsFKxFRETErQICApgwYQLHjh1jwoQJVKlShaSkJD788EPKlSvH999/T/nyLn76CX76CXr0AB8fY5rliBFQvDg0bQqvvAJ79pj9aUQku3I4HLzzzjvMn/8p3t6tgNewWOJZtQqqVYNNm8yuUDITBWsRERFJF7lz56Z3795s3ryZOXPmEBISwtGjR2nTpg3Vq1dn0aJ51K0by4cfGheob74JpUtDTIwRuD/8EO67DwYM0EZnImKeVq1a8dNPiwkM/ASXqzze3n8QHQ3t2sGhQ2ZXJ5mFgrWIiIikK4vFwuOPP86ePXvo06cPvr6+bNmyhbZt25I3b16efvoJzp//lUGDXGzcCAsXwsCBUKsWJCbC++9DlSqwcaPZn0REsqv69evz228ryZv3CvHxDwFHOXYMqlZ1sWqV2dVJZqBgLSIiIhkiZ86cjB8/nr179/LCCy9QqFAhoqOjmTNnDg0bNqR+/dps2rSM5s1h+HD4+WeYOBFy5jSmhD/wALRta2x0tn27RopEJGNVrlyZHTt20LRpDeBBYAvh4RZatjTOuw4PN7lAMZWCtYiIiGSou+66i08++YQjR46wYsUKOnfujLe3Nxs2bKBx48Y0bPgQf/21g8BAY/315s3GWdhJSTBvnrHRWeXKULIkNGpkTBvXLr0ikhFCQkJYvHgxb7/9LBZLA2A1kZHGedd58sCgQepH2ZWCtYiIiJjC4XDw4IMPMmPGDP766y+eeeYZHA4HK1asoFKlSn9PH99NyZLw44/w3Xfw/PNQsCAEBoLFAsuXGxudVaoEkyfDgQNmfyoRyeosFgtDhgxh8eLZ5Mz5BPAKsI/kZBg9Gp54AiIizK5SMpqCtYiIiJiuaNGiTJ48mR07dtCyZUtcLhdz586lQoUKtG3blgMHdvHYY8aGZrt3G79WrYIOHcDbG3buhO7d4e67jeniFy6Y/YlEJKtr2rQp27ato1mz/UAZ4HkgmblzoXx54yhByT4UrEVERCTTuOeee/jxxx9Zv349TZs2xeVyMW/ePCpWrEjTpg+zYMFsfHziCA2FOnVg2jTYsQN69zZCtdVqTBcvUcLYAC0szOxPJCJZWbFixVi8eBHLly+nUKHFGGuvT3DiBLRs6WLQIEhONrtKyQgK1iIiIpKpWCwWatasyZIlS9i0aRPNmjXD5XLx888/0759e/Lnz0/v3r25cOEC3t7GEV1jxsCGDUaoLl7cmIb53ntQrBiMHKk1jyKSvh566CHWr19PkyZ+QFngU1wuC6NHQ40a8PnnCthZnYK1iIiIZFrVqlVj8eLF7Nixg969exMSEkJERAQff/wxJUqUYNSoUVy4cAEvLwgOhtatYds2Yzfxu++G6Gh4/XWoXx/GjoXYWLM/kYhkVaGhoSxdupSlS78jJOQtoDMQw9atxv4QDz0Ex46ZXaWkFwVrERERyfQqVqzIhAkTOHLkCHPnzuWee+4hIiKCIUOGULhwYfr27UvY3/O+g4KM3cQ3bYLXXjOe//vv0K+fMUW8a1eYP9/YZVxExJ0sFgsPP/wwO3fupEWLcKA08DoQy6pVUKGCi1de0T4QWZGCtYiIiHgMb29vHnvsMXbs2MEnn3xCuXLliI+PZ8KECRQtWpSOHTuyePFikpOTCAqCESOMHcV79YLcueHMGZg+HR57DMqWNQK2y2X2pxKRrCZPnjwsWLCAzz9/gwIFpgKVgM1ERlr48EMoXdrFJ59oenhWomAtIiIiHsfhcPDCCy/wxx9/8P3331OhQgViYmL45ptvaNGiBaVLl2by5MkkJSXQsqWx3vrPP40juTp0MI7rOnDACNhNmsDs2ca0cRERd7FYLHTv3p0DB/bz1lsdCQxsArQGdnPpkoVevaBqVVi71uRCxS0UrEVERMRj2e12Wrduzfbt21m2bBldunQhZ86cHD58mO7du1OiRAk+/vgjLJY4QkKMaeCTJ8Mff8Azz4DdDsuWQfv2cM898NxzxnnZ2uxMRNwlICCAoUOHcuTIAfr2LYbNVhV4GYjkjz+MEw5at4aFCzWC7ckUrEVERMTj2Ww2GjZsyLRp0zh8+DAjRowgb968nDx5kj59+pAnTx6aN2/OxIkfc/78UYoXh0mT4LffjBHs3LnhxAn44gto1w7KlIE339Q6bBFxn9y5czNu3IesW7eK0qWXAncDX+NyGUtWHnkE7r0Xdu40u1K5EwrWIiIikqUEBwfz+uuvc/jwYd5//30KFSpEdHQ0S5YsoXfv3pQoUYLu3btz+fJ57r8fpkyBrVth8GAjVHt5GdPEhw+HVq2Mc7ITE83+VCKSVVSvXp3t27fTu/fjWCydgXvx85uKn18iu3fDfffBww8rYHsaBWsRERHJkgICAnj11Vc5cuQIq1evZvDgwVSrVg2n08nkyZMpUaIEL7/8MhcunOCuu4wgPWWKcTH7xhvGNPElS4yL3Fy5jONydFSOiLiDr68vEyZMYOnSpYSGXiYm5hliYu4iJGQHLhf8/DNUqwYffAAREWZXK7dDwVpERESyNIfDQZ06dRg1ahQbNmzg559/pmLFikRFRTFu3DiKFStG48aN+f33FQQEQOnSMHQo/PQTPPAAOBwQFQWffw7lysG0adpJXETco0mTJuzYsYOOHTsCZzhz5j7s9goUKLCbhAR49VVjqUqdOvDLL2ZXKzejYC0iIiLZhtVqpXHjxmzdupXvvvuOWrVqkZyczLJly3jooYfo0KEDZ8+exW6Hhx4yRo0OHzaO6KpQwdg5vFs3YwS7Tx/j+C4RkbQIDg7mq6++4qeffqJmzZokJe3i7NkK2GyD8Pe/QFISrFljnGDw4ova+yGzUrAWERGRbMdut9O2bVvWrFnD9u3beeqpp7BYLMyaNYvSpUvz1ltvcfDgQfz8oHBheOop48K2Rw+w2SA8HD76CO66C+rWhS5djCO9tm41RrdFRFLDYrHQpEkT1q1bx+LFi6levRrJyaOJjs6Ll1c5ypffDMDEidC4MRw6ZHLBch0FaxEREcm2rFYr9913H19++SWrV6+mQoUKREREMGzYMEqVKkX16tVZtWoVFgvkyAGffAIHD8Knn0LZssamZr//Dl9+CQMHGmfS5s9vrMfWukgRSS2LxUKzZs1Yv349CxcupGrVqiQk7GHXrurkzt0LhyOJlSuhZElj2cqoURAXZ3bVAgrWIiIiIgA88MADbN++nUmTJvHAAw9gs9nYvHkz9evXp1mzZnz55ZckJSVQtCh07w4bN8Kvv8Jbb0HPnkaozpEDYmKM9di1ahnHeYmIpJbVaqVFixZs3LiR6dOnkz9/fi5e/ITExGr4+GzGYnGxfz8MGWJ8yffjj2ZXLArWIiIiIn+z2Wz06NGDVatWceDAATp37ozVamXp0qV06dKFe+65h7lz52KxuAgIgAcfNEaq33/fCNl//QVTp0JwMOzZY9zfvLkxjTw52exPJyKexmq18vTTT/PXX38xaNAgAgMPERdXHZcrF/nzDycwMI4jR6B1a2OpysmTZlecfSlYi4iIiPwfq9VKsWLFmDFjBlu2bKFPnz7kyZOHw4cP8/jjj1OiRAlGjhzJmTOn8fICf39jtDokxFhvvWEDtG0LVqtxZFedOsb9jz8O48fD0aNmf0IR8SQ5c+bknXfe4eDBg/Tr1w9//0TOnXuTyMh8BAfPAuCzz+Duu41jA51OkwvOhhSsRURERG6iUqVKjB8/nv379/PKK6/g7+/PkSNHeP311ylSpAjNmzfnxx9/JOnvrXotFuPiduZMYxS7ZUvjyK6YGJg7F156CapUgVmzjF3GRURuV758+RgzZgwHDx6kb9+++PomcflyB6A5fn57iI2FZ5+FQoWML/G0g3jGUbAWERERuQ3BwcF88MEHnDhxgo8++ogqVaqQnJzMkiVLaN26NaGhofTt25fFixcTERGBtzfUrw+zZ8ORI0ao7tzZuOC9dAk6dIAiReDll40RpgUL4MoVsz+liHiCAgUKMG7cOA4dOkTPnj3x8lpOTEwFYCQORyxnzxpf4tWuDRMmwOrVkJBgdtVZm4K1iIiISCoEBwfTq1cvNm3axNatW3n++efJlSsXZ8+eZcKECbRo0YKgoCDKlSvHvHnz8PFxUagQtGljTNVcv944vitvXiNgjxtnjDC1agUFChjnZF+4YPanFBFPEBISwsSJE9m1axePPtoKeJ3ExJwEBg7F4Yhn82bo2xfq1TOOB3zzTTh/3uyqsyYFaxEREZE7YLVaqVy5Mp9++inHjx/nq6++4oknnqBw4cIA7Nmzh7Zt21K//v/Yu+/oqKquj+PfKekhgVBDk957F0WaIAgoYENRqoIgKEWRIqAIilIECyhSlKYiCFIEpYlSgkqTIp1Qpdf0MvP8cU2UhwDpNzP5fdZimWfuzL173nlnr7vnnLNPI/78808sFvDxgSJFYPp02L3bGElq29boIF6okLFtzqxZxkj3tGnw++9qeiYid1e6dGm+++475s+fT8GCebhxYzSxsWWBd8iRYzM+PsYo9ltvGQV2jx5w5ozZUbsXFdYiIiIiaeTn58ezzz7LV199xeHDhzly5AgDBgzAy8uLX375herVq/PUU0/x559/Asaa6/z54aWXYM4cWLECdu6E+fMhKAj27jX2wq5TB8qXh759YdEiTeUUkTt7+umnOXjwINOmTeOBB+7Bah3OjRv3ERmZE1/f3uTPf56oKPj8cyheHJ58EtasUbOz9KDCWkRERCSdWCwWvLy8KFGiBBMmTGDXrl20atUKh8PBggULqFq1Ki1btmTjxo2A0TXc39/YnitPHujQwdj7uksXqF0bfH3h0CH4+GOjy3hCx9+oKFPfpohkYX5+frzwwgv8/PPPHDx4kJEjR1K0aAEiIqZy7lx+SpXqS+nSEcTEwLffQrNmULYsvP++cktaqLAWERERySBly5Zl2bJlbNq0idatW2O1Wlm1ahUNGjSgRo0ajBs3jiNHjuB0OgGjo3jlyjB1Kvz0kzGK/fbb8NRTRvF9/LixHjt/fmNN9vTpangmIkmzWCyULFmSN998k4MHDzJu3Dj8/Pw4fPhjDh3yo0qV3tSqdQBvbyeHD8Prr0O9erBvn9mRuyYV1iIiIiIZyGKxUL9+fZYuXcrOnTt55pln8PDwYMeOHQwaNIhSpUpRsmRJxo4dy65du3A4HHh7Q86cULo0DB5sFNA7dhgdxPPmhevXjS7iL7wABQsahff332uquIgkzcvLi1dffZWdO3fy8MMPY7FY+PPPqfzxRzmczgJUqzYHP784du0ylqAMHQrnzpkdtWtRYS0iIiKSCSwWC5UrV2bevHkcOXKE9957j9q1a2O32zl27BhDhgyhWrVq5M6dmzZt2jBp0iTOnz+P3W5MF7/nHmOq5r59xnrrnj2N7boiImDBAqMJWsGCRgfgLVuMddrR0Wa/axHJSkqVKsWKFSvYs2cPgwYNomTJkkRHn2fnzk6EhxcnKOgvwsPh3XeNnPPqq3DlitlRuwYV1iIiIiKZrEiRIgwaNIiQkBDOnDnDxIkTadSoEX5+fly9epXly5fTv39/7rnnHnr16sXBgwcBsNuNtdjt2sHkycZU8UWLjLXZuXLBpUtGp/H69aFSJShXzugsLiLyXxUqVOC9995j//79/PTTTzzyyCNYLKe5fLkS3t7dKVDgHNHRMGGC0VCxTBkYMQIOHzY78qxLhbWIiIiISaxWK3nz5qV///6sXbuWv//+mzVr1jB06FAqV65MVFQUn376KWXLlqVp06asXLmS2NhYLBbw8jKK6XbtYOZM+OsvY5/sRo0gRw7j/KGhxv61kybBjRsmvlERyZLsdjvNmjXj+++/55dffqFSpQpERc3k7NkCWK1P4OVlzAc/dMjo91C6tLE94JQpGsn+fyqsRURERLIAq9VKjhw5aNq0KWPGjGHHjh0sW7aMxo0bY7VaWbduHQ8//DDFihXj448/Jvqfed4J+2Pnz280Nlu2zBhV2rHDGLmOjDTWZgcHw3PPGaPchw7BwYPaI1tE/nX//fezfft2PvjgA4oUKYLDsZDo6AJALnLmfJUiRY5jsTgJCTG2CgwONnYrWLFCuQRUWIuIiIhkSTabjdatW7N27Vr27NlDly5dCAoK4syZM/Tt25dSpUoxadIkdu/eTfw/d7UJ23flywfVqsHq1UYTokKFIDwc5s6F6tWNaZ1lyxoN0ho3NpqjiYh4eHjQr18/jh49yrZt2+jZsyc5c8LVqxM4ebIYnp6lqVTpWwoXjiI62liK0rq1kWP69YOjR81+B+ZRYS0iIiKShVksFsqXL8+sWbMIDQ3l/fffJ3/+/Jw6dYr+/ftTpUoVcufOzejRozl9+vRNr/X1hVGjYPdu+OYbYysdu9143MsLwsKMfbMHDjTnvYlI1mS326lRowaffvopx48fZ/LkyZQvX57o6CPs2fMkp075ULfuQFq2vEBgoNFBfPJkKF8eOneG9evhn10Esw2L0+kabzksLIyaNWuybds2/P39zQ5HRFyMO+cQd35vIpK0Gzdu8NFHH7Fs2TL+/PNPIiIiEo+VLl2aNm3a8Pzzz1O+fPnEx51OY1r4lSvGtE2Hw+gc/tNPsGJFGDab++UR5UeR9ONwOFi7di2TJk1i5cqVJJSR1ardR4UKI/jrrybs2GFPfH7x4sbWXSVLQu/exi4FP/5o9IAoWhTuuw9sNrPeTfIlN4+osBaRbMGdc4g7vzcRubP4+HgiIyOZP38+n3zyCXv27MHhcCQef+CBB3jqqad4/PHHyZcv3y2vdzohNhbOnw+jaVP3yyPKjyIZY8eOHbz11lssW7YsMed4eflQu/ZQnM7ubN9egMhIS+LzPT2N2TL/+Q2QGjXg66+NhmhZWXLziKaCi4iIiLgom82Gv78/PXr0YPv27Zw8eZJZs2bRvHlzLBYLv/zyCy+99BLBwcGJnX8jIyMTX2+xGDe8OXOa9x5ExPVUr16dJUuWcOjQIYYNG0aJEiWIjo5k48bhbNpUkDx5KtOq1VJ69LhBlSoQE2MU1ffcE0GJEhfw9nawfbsxbdxdGp+psBYRERFxAzabjYIFC9KlSxdWrVrF3r17GT58OJUrV8bhcLBmzRratm1L7ty5adWqFZ988gk///wz4eHhZocuIi6qRIkSjB49mn379rFmzRqeeeYZ/Pz8OHlyLytWPMrMmUEUKdKOXr2WUrToSI4fz8HRo/mIiiqDzRbLli0wb57Z7yJ9qLAWERERcTMJDc9GjRrFzp072bVrFz169CA4OJjIyEh++OEH+vTpQ+PGjQkKCqJFixZmhywiLszLy4umTZsyb948Tp48yUcffUT16tWJi4tjxYolTJ36KCdOjMLHx4sKFSoAR4iPHwdA9+4wfrzR98GVqbAWERERcWNWq5UqVarw2WefcezYMTZt2sRrr71GgwYNCA4OJiYmhi1btpgdpoi4iVy5ctGnTx/++OMPQkJC6NatG/Xq1aNt27asX7+ebdu20atXL2AUXl5LiIuD116DBg3gs8+Mvg+uyH73p4iIiIiIO/Dy8qJ+/frUr1+fuLg44uLi2L9/PytWrGD27NlmhycibsRqtVK3bl3q1q1LbGwsTqcTDw8PLBYLEydO5IcffuD48XaULTuLQ4c6s3mzhc2bYdw46NHD6CZepw4UKWL2O0kejViLiIiIZEN2ux1vb2+qVavGK6+8YnY4IuLGPDw88PT0xGIxOoV7e3vzySefYLVaOXCgKxZLeQoXno6PTyRHjsDrr8PjjxvbchUpAoMHw/HjJr+Ju1BhLSIiIiIiIpmqVatWrF69mvLlyxMff4BTp14gMjI/MAw/v3UEBZ3FYnFy6hS89x6UKmWMZB85kjU7iauwFhERERERkUzXpEkT9uzZw86dOxkxYgS1a5fDah1LeHhTLl8Oxun0JzDwJfLkOUhcHHz+uVFg2+1QvDh07AjvvAM//2z2O9EaaxERERERETGJ1WqlatWqVK1alZEjR3Lq1CmWLl3K0qVL+fXXX7l2bQowBYulGblyfcjVq2VxOCyEhkJo6L/n6dABnngC2rQBD4/Mfx8qrEVERERERMR0VquVokWL0qdPH3r37s3ly5dZt24dM2fO5Mcff+Ty5fLYbAHcf38bihV7mri4+zl3LpD16+Hrr41/OXNCsWJQtSrUrWuMagcEZELsGX8JERERERERkeSzWq3kyZOHJ598kpUrV/Lzzz/ToEED4uOvs3HjPObObc3XX+fk+PHStG79Mc2bXyBnTgdXr8LOnfDll9C7N1SqBFOnwpkzGRtvmkasN2zYwKxZs9i3bx8xMTEUL16c9u3b07FjR6xW1ewikn0pP4qIJE35UURSymKx0LBhQzZs2MDWrVtZvHgx69atY8eOHRw9epijR/sCfbFafahXrxc1ajxHZGRlVq2ycfKkUWD37g2NG8Onn0KZMukfY6oL62nTpjFhwgQAihQpgq+vL/v372f06NFs3rw5sX26iEh2o/woIpI05UcRSQuLxUK9evWoV68eDoeDc+fOsWbNGqZPn87u3bu5cuUKISETCQmZiI+PL7VqNaV69bc4fLgqhw5ZWb/eGMEODgabDRo1gtdeg/Ll0x5bqjLXjh07mDhxIlarlQkTJrBmzRqWLl3K4sWLyZMnD+vWrWPWrFlpj05ExMUoP4qIJE35UUTSk9VqJTg4mOeee46ff/6Z06dPExISQufOnQkKCiIyMoJff13GDz/U4OrVQjz22NuUK3eB2Fg4cQKOHYNZs6BiRWjQAD78ENasgb/+ghs3UhFPat7E1KlTcTqdPPHEE7Ru3Trx8XLlyjF48GDA+EUyNjY2NacXEXFZyo8iIklTfhSRjGKxWPDx8aFu3bp88cUXnDlzhpCQEAYOHEjevHk5f/4sCxeOYP/+fNhsdShVqg+tW8+lRo3rOJ2wcSO88go0awYVKhjNzkqWhD594KefkhdDigvrsLAwNm/eDMDjjz9+y/EWLVrg7+/P1atX2bp1a0pPLyLispQfRUSSpvwoIpnJy8uLunXrMn78eEJDQ5k9ezZPP/00RYoUIT7+dw4f/oTly59j+/ZA7ruvG61a7aZGjTjuuQd8fIxzHD0Kn3xibOGVHCkurPft20dsbCxeXl5UqFDhluMeHh5UrlwZgF27dqX09CIiLkv5UUQkacqPImIWX19fnnvuOebPn8/Ro0fZs2cPEydO5KGHHsJqtbJp0yxWrKjCn3/6YLeX5f77W/Pss0Pp2fM3Hn44nrx5k3edFBfWx48fByA4OBi7PeneZ0WKFLnpuSIi2YHyo4hI0pQfRSQrsNvtVKxYkf79+7Ny5Up+//13evbsSZEiRYiLi+PIkYOsXr2CuXPf5bPP6hISkp/27d9M3rlTGsy1a9cACAwMvO1zAv7Zgfv69etJHp81a1aKm1PEx8cDxlQiEZGUSsgdTqczw66h/Cgiriqjc6Tyo4hkRWXKlGH8+PGMGTOG0NBQ/vrrLw4ePMjhw4dZv34958+fZ9q0SZQsWfKu+THFhXV0dDRgTNm5HU9PTwCioqKSPB4WFsa5c+dSemkAGjZsmKrXiYgAhIeHkyNHjgw5t/KjiLi6jMqRyo8i4moCAgISf/CDu+fHFBfWXl5eAHfs2BgTEwOAt7d3ksf9/f3Jnz9/iq7rcDh44oknWLBgARcvXiRv3rysWrUqRecQc7Ro0YILFy7oM3MR7vp5OZ1OwsPDyZcvX4ZdQ/lRUspdv2/uyp0/r4zOkWbnx27dutGyZUu3/fzckTt/39yVu35myc2PKS6sE6bwJEzpSUrCFJ7/Vvj/1bVrV7p27ZrSSwOwaNEiwNi3zN/fP1XnkMxltVoT/6vPLOtz588ro0aqEyg/Skq58/fNHbn755WROdLs/Aju//m5G31ersedP7Pk5McUNy+75557APj777+Ji4tL8jknT5686bkiItmB8qOISNKUH0XE3aW4sK5QoQIeHh5ER0ezb9++W47Hxsaye/duAKpWrZr2CEVEXITyo4hI0pQfRcTdpbiw9vf359577wVg4cKFtxxftWoVYWFh5MyZkzp16qQ9QhERF6H8KCKSNOVHEXF3KS6sAV588UUsFgvffvsty5cvT3x8//79jB07FoDnn38+sbujiEh2ofwoIpI05UcRcWepKqxr1qzJK6+8gsPhYODAgTz44IM88sgjtGvXjosXL9KoUSO6deuW3rGKiGR5yo8iIklTfhQRd5biruAJevXqRbly5fjiiy/Yu3cvFy9epEyZMrRv355nn30Wm82WnnGKiLgM5UcRkaQpP4qIu0p1YQ3QuHFjGjdunF6xiIi4DeVHEZGkKT+KiDtK1VRwERERERERETGosBYRERERERFJAxXWIiIiIiIiImmgwlpEREREREQkDdLUvMwMXbt2JSwsDH9/f7NDkWTSZ+Za9Hm5Ln12rkefmWvR5+Xa9Pm5Fn1erie7f2YWp9PpNDsIEREREREREVelqeAiIiIiIiIiaaDCWkRERERERCQNVFiLiIiIiIiIpIEKaxEREREREZE0cJmu4Bs2bGDWrFns27ePmJgYihcvTvv27enYsSNWq34fyAgnT55ky5Yt/Pnnn/z5558cPnyY+Ph4XnnlFXr37n3H1+7YsYNp06axY8cOIiIiKFy4MK1ateL555/Hy8vrtq87cuQIU6ZMYevWrVy7do38+fPTrFkzevXqRUBAQHq/RbfidDrZtm0ba9euZdu2bRw9epSoqChy5sxJ9erV6dixI/Xq1bvt6/WZuTblyMyl/OhalB+zN+XHzKX86FqUH9OPS3QFnzZtGhMmTACgSJEi+Pr6cujQIRwOB02aNOGTTz5RYswAY8aMYfbs2bc8frfEuHTpUgYPHkx8fDz58+cnd+7cHDp0iNjYWCpXrsycOXPw8fG55XUhISH07NmTqKgogoKCCA4O5ujRo0RGRlKkSBG+/vpr8uTJk67v0Z1s2bKFLl26AGC1WilatCi+vr6EhoYSEREBQK9evejXr98tr9Vn5tqUIzOf8qNrUX7MvpQfM5/yo2tRfkxHzixu+/btzrJlyzrLlSvnXLZsWeLjf/31l7N+/frOMmXKOKdPn25ihO7rk08+cfbs2dP58ccfOzds2ODs27evs0yZMs5PPvnktq85efKks1KlSs4yZco4P//8c6fD4XA6nU7nqVOnnA899JCzTJkyzrfeeuuW1924ccNZr149Z5kyZZxvv/22MyYmxul0Op2XL192dujQwVmmTBlnjx49MuaNuolNmzY5mzVr5pw3b57z6tWriY9HR0c7J0yY4CxTpoyzTJkyznXr1t30On1mrk050hzKj65F+TF7Un40h/Kja1F+TD9ZvrB+4YUXnGXKlHEOHz78lmNLly51lilTxlmnTp3ED0Uyzuuvv37XxPjmm286y5Qp4+zWrdstx7Zt2+YsU6aMs2LFis4LFy7cdOzzzz93lilTxtmyZUtnXFzcTcdOnz7trFChgrNMmTLOPXv2pM+bcUM3btxwxsbG3vb4888/7yxTpozzxRdfvOlxfWauTTkya1B+zNqUH7Mn5cesQfkxa1N+TD9Zeu5LWFgYmzdvBuDxxx+/5XiLFi3w9/fn6tWrbN26NbPDk//jdDpZvXo1AI899tgtx2vUqEGJEiWIjY1l7dq1Nx1LeF27du2w2Ww3HStYsCD33nsvAD/++GNGhO4W/P39sdtv3zbhvvvuAyA0NDTxMX1mrk050nXou2Yu5cfsR/nRdei7Zi7lx/STpQvrffv2ERsbi5eXFxUqVLjluIeHB5UrVwZg165dmR2e/J8zZ85w4cIFAGrWrJnkc2rUqAHc/HnFxcWxd+/em44n53WSMtHR0QB4e3snPqbPzLUpR7oOfdeyNuVH96P86Dr0XcvalB+TL0sX1sePHwcgODj4tr+kFClS5KbninkSPgNPT0/y5cuX5HOS+rxOnz5NbGzsTceT8zpJPqfTyapVq4CbE5k+M9emHOk69F3LupQf3ZPyo+vQdy3rUn5MmSxdWF+7dg2AwMDA2z4noR379evXMyUmub2EzysgIACLxZLkc5L6vBJeB7f/rBNe99/nSvItWLCAffv24eHhQefOnRMf12fm2pQjXYe+a1mX8qN7Un50HfquZV3KjymTpQvrhKkHHh4et32Op6cnAFFRUZkSk9xeaj+vmJiYxL9v99qE1yVcQ5Jv7969jBkzBoB+/fpRtGjRxGP6zFybcqTr0Hcta1J+dF/Kj65D37WsSfkx5bJ0YZ2wqXjClIGkJHxA/533L+ZI7eeV8AW602sTXnenjeblVidPnqRnz55ER0fTunVrunfvftNxfWauTTnSdei7lvUoP7o35UfXoe9a1qP8mDpZurBOmCJwp6kACdMLEqYNiHkSPq/r16/jdDqTfE5Sn9d/p4Lc7rNOeN2dpnTJzS5cuEC3bt24cOECjRo1YuzYsbdM19Fn5tqUI12HvmtZi/Kj+1N+dB36rmUtyo+pl6UL63vuuQeAv//+m7i4uCSfc/LkyZueK+ZJ+AxiYmI4f/58ks9J6vMqVKhQ4nSQhOPJeZ3c3tWrV+nWrRsnTpygTp06TJ48OckpN/rMXJtypOvQdy3rUH7MHpQfXYe+a1mH8mPaZOnCukKFCnh4eBAdHc2+fftuOR4bG8vu3bsBqFq1amaHJ/+nYMGC5M2bF4Bt27Yl+Zzt27cDN39edrs9cSuMhOPJeZ0kLTw8nB49enDw4EEqV67M1KlTbzvNTZ+Za1OOdB36rmUNyo/Zh/Kj69B3LWtQfky7LF1Y+/v7J24SvnDhwluOr1q1irCwMHLmzEmdOnUyOzz5PxaLhQcffBCARYsW3XJ8+/btHD16FA8PD5o0aXLTsWbNmgGwePFi4uPjbzp25swZtmzZAkDz5s0zInS3ERMTQ+/evdm1axelS5dm+vTp+Pv73/b5+sxcm3Kk69B3zXzKj9mL8qPr0HfNfMqP6SNLF9YAL774IhaLhW+//Zbly5cnPr5//37Gjh0LwPPPP3/TYngxT/fu3fHw8GDjxo1Mnz49cd3F6dOnGTp0KACPP/544q9cCZ5++mly5crFkSNHePfddxMbGly5coWBAwcSFxfHAw88QKVKlTL3DbmQ+Ph4+vfvT0hICEWLFmXmzJnkzJnzrq/TZ+balCNdh75r5lF+zJ6UH12HvmvmUX5MPxbn7VacZyFTp05l0qRJgLFpuK+vL4cOHcLhcNCoUSOmTJmCzWYzN0g3tG3bNnr37p34vyMiIoiJicHHx+emTn1LliwhODj4pv89ZMgQHA4H+fPnJ3fu3Bw6dIjY2FgqVqzI3Llz8fX1veV6W7ZsSexAGBQURHBwMEePHiUyMpJChQrxzTff3PLllH8tX76cgQMHAlCsWDGCgoKSfF7evHn58MMPb3pMn5lrU47MfMqPrkX5MftSfsx8yo+uRfkx/bhEYQ2wfv16vvjiC/bu3UtcXBz33HMP7du359lnn1VCzCBbt26lU6dOd33e2rVrKVy48E2Pbd++nWnTprFjxw4iIiIoVKgQrVu35oUXXrhj+/xDhw4xdepUQkJCuH79Ovnz56dZs2b06tXLJbsDZqbvvvuOIUOG3PV5hQoVYt26dbc8rs/MtSlHZi7lR9ei/Ji9KT9mLuVH16L8mH5cprAWERERERERyYqy/BprERERERERkaxMhbWIiIiIiIhIGqiwFhEREREREUkDFdYiIiIiIiIiaWA3OwBxH7frKmixWPDz86NgwYJUr16dp556iooVK5oQYfqJjo7mkUceITQ0FIA6deowZ84cc4MSkSzLXfNj2bJlk/W8yZMn06JFiwyORkRckbvmx//av38/CxcuZNOmTZw7dw6n00mePHkoXbo0derUoUOHDnh7e5sdpqSRRqwlwzmdTsLCwjh48CDffPMNjz/+OJ988kmGXe+7776jbNmyyb7hS40pU6YkFtUiIqnljvlRRCQ9uEN+dDqdjB8/nvbt2zNnzhyOHj1KeHg4ERERnDhxgrVr1/Luu+9y8eLFdLummEcj1pIhpk2bRq1atQCIj4/n1KlTrF+/ns8++4zo6Gg+/PBDSpcuTfPmzU2ONOUOHDjAjBkzCAgIwGKxcO3aNbNDEhEX4o758a233qJNmza3Pa6RGBFJDnfLjyNHjuSbb74B4IEHHqBjx46UK1cOm83G6dOn2blzJ4sXLzY5SkkvKqwlQ3h7e+Pn55f4vytUqECFChUoVaoUL7/8MgAzZsxwmcSYwOFwMHz4cGJjY3njjTeYNm2aCmsRSRF3zI+enp43vScRkdRwp/y4cuXKxKK6d+/evPLKKzcdz5s3L9WqVaNLly4mRCcZQVPBJVM99NBDFCtWDIDdu3cTExNjbkApNGfOHHbt2kW1atV46qmnzA5HRNyIq+dHEZGM4mr5MT4+nvfeew+A6tWrJ/4oIO5NI9aS6UqUKEFoaCjx8fFcu3aNvHnz3nQ8NjaWX3/9lZ9//pl9+/Zx7tw5rly5gp+fHyVKlKBZs2Z06NABX1/fm1536tQpmjZtetNjSa2TOXDgQKriPnPmDJMmTcJut/PWW29hsVhSdR4Rkdtx1fwoIpLRXCk//vLLL/z9998AdO/eXfeM2YQKa8l0Tqcz8e8cOXLccnz+/Pm88847tzx+9epVtm/fzvbt21mwYAEzZsygUKFCGRrrf7355ptERETQvXt3ypUrl2nXFZHsw1XzY4KYmBg8PT0z/boi4v5cKT9u2LABAA8PDx544IHEx51OJ/Hx8djtKsHckT5VyXRHjx4FoGjRokk2tPH09OSBBx7gwQcfpFSpUuTPnx9fX1/Onz/P5s2b+eKLLzh27BgDBgxIXLsCUKhQIbZv386yZcsYOXIkANu3b0+XmJcvX86GDRsoVKgQffv2TZdzioj8P1fMjwCfffYZY8eO5dq1a9jtdgoWLEidOnV49tlnKV++fLpdR0SyL1fKj7t37wagTJkyeHp6smDBAr7++msOHjxIXFwcefLkoV69enTr1o0KFSqk6VqSdaiwlky1cuVKjh8/DkDHjh2TfM7TTz/N008/fcvjQUFBlCtXjlatWtG6dWt27txJSEgI9erVA/7d7/C/oyXp0Uzn6tWrib+AjhgxAh8fnzSfU0Tk/7lifkzw3+0H4+LiOHHiBCdOnGDRokW88MILDBgwQFMhRSTVXC0/JkwDz5cvH7169WL9+vU3Hb9w4QLLli3jhx9+YNiwYbd9T+JaVFhLhoiKiiI8PBwwOmmfOnWKdevW8dlnnwHQqlUrnnvuuVSdO3/+/NSvX59Vq1axefPmxMSYUd577z0uXbrEQw89RKNGjTL0WiLi/twpP1arVo1HHnmEatWqUaBAAXLkyMG5c+f45Zdf+PTTTzl//jzTpk3Dw8NDzXtE5K7cJT/euHEDgI0bNxIbG0u5cuUYNGgQNWrUIC4ujo0bNzJ27FjOnj3L22+/TdGiRWnQoEGGxSOZQ4W1ZIgePXok+biHhwfjxo3jkUceuePrIyMj+e6771i3bh0HDhzg2rVrSXaAPHbsWLrEeztbtmzhu+++w8/Pj2HDhmXotUQke3CX/AjcNJ0yQZEiRejYsSMtWrTgmWeeITQ0lGnTptGuXTuKFCmS4TGJiOtyl/yYsB48NjaWQoUKMXfu3JvWhbds2ZKKFSvy6KOPEhERwYQJE1RYuwEV1pKpYmNjGTduHJUqVaJEiRJJPic0NJTu3btz6tSpu54v4RfBjBAVFcWIESMA6NevH/nz58+wa4mIuFJ+TI7cuXMzdOhQevToQWxsLCtXrrztTbOIyJ24Wn709fXl2rVrgNEVPKlma0WLFuWxxx5jzpw5/PXXX5w6dYrChQtnaFySsbSPtWSI2bNnc+DAAQ4cOMCOHTtYtGgRrVu3BuD8+fP06dOH6OjoW14XHx9P3759OXXqFL6+vrz44ovMnTuXn3/+md9++y2xq2PCueLj4zPsPUyfPp0TJ05QsWJFrX0RkXTjDvkxue677z68vLwA2Lt3r8nRiEhW5y75MVeuXIl/165d+7bPq1mzZuLfhw4dytCYJONpxFoynK+vL5UqVWLChAn4+Pjw7bffcuTIET7//HP69Olz03N/++03Dh48CMDkyZNv2qLgvyIiIjI87oRfPPfu3XvXjo2//fZb4p6Hffr0UedwEUkWV82PyWW32wkMDOT8+fOmj6CLiGtx5fxYsmTJxKaOgYGBt33ef4+FhYVldFiSwTRiLZlq6NCh5MuXD4CZM2dy5cqVm47v378fMBLN7ZIikJg8RUTchTvmx9jYWK5evQpAQECAucGIiMtytfxYuXLlxL//P9b/SsiPoBzpDlRYS6by9fVNHM0NDw/niy++uOl4QoOJO03R2bZt2x3Xz9jt/07ESMtUn5dffpklS5bc8V/evHkBqFixYuJjHTp0SPU1RST7cqX8mFwbNmxIjFt7tYpIarlafmzWrFni37///vttn/fbb78l/l2uXLk0XVPMp8JaMl27du0SmzPMnTuX69evJx5L6BgbFhZGSEjILa8NCwvjrbfeuuP5/7uu5fz586mOs2DBgpQvX/6O/xL2PPTz80t8LKHYFhFJKVfJjwBnz5694/Fz587xzjvvAEZH35YtW6bpeiKSvblSfixVqhT169cHYMaMGYmNzP7r6NGjLFmyBIA6deqoSa4bUGEtmc7Dw4NevXoBRqKbPXt24rEGDRokdk4cOHAgS5Ys4cyZM1y4cIFVq1bx5JNPcujQIYoXL37b81eoUAGbzQbAlClTOHfuHLGxscTFxREXF5eB70xEJG1cKT/26tWLbt268fXXX7N3714uXbrEtWvXOHjwINOnT+fRRx/l9OnTic/VVlsikhaulB8BBg8ejI+PD3///TdPP/00a9as4fLly5w7d47vvvuOTp06ERkZiaenJ6+//nqKzy9Zj8WZsNGaSBp99913DBkyBDC6OtatW/e2z42Li+Phhx/m+PHjBAYGsm7dOvz9/QFYsWIFr732WpLTcKxWK0OHDmXv3r0sXryYOnXqMGfOnFueN3jwYBYvXpzktQ8cOJCat5ekJk2acPr06dvGISIC7pkfH3300cR1jbdjt9vp1avXLY2GREQSuGN+TLBhwwYGDhx42+aNvr6+TJgwgSZNmqT43JL1aMRaTGG32+nduzcA165dY968eYnHWrVqxZw5c2jcuDGBgYF4eHhQoEABWrZsydy5c3nuuefuev63336bV199lUqVKuHn54fFYsmw9yIikp5cJT8OHjyYnj17UrduXYoUKYK/vz92u52cOXNStWpVXnjhBVauXKmiWkTSjavkxwQNGzZk+fLldOvWjRIlSuDj44OPjw+lS5emW7durFq1SkW1G9GItYiIiIiIiEgaaMRaREREREREJA1UWIuIiIiIiIikgQprERERERERkTRQYS0iIiIiIiKSBiqsRURERERERNJAhbWIiIiIiIhIGtjNDiC5HA4H58+f157EIpIqTqeT8PBw8uXLh9XqXr8pKj+KSFq5a45UfhSRtEpufnSZwvr8+fM0bNjQ7DBExMVt2LCBAgUKmB1GulJ+FJH04m45UvlRRNLL3fKjyxTWfn5+gPGG/P39TY5GRFxNWFgYDRs2TMwl7kT5UUTSyl1zpPKjiKRVcvOjyxTWCdN3/P39lRhFJNXccSqg8qOIpBd3y5HKjyKSXu6WH91nEY2IiIiIiIiICVRYi4iIiIiIiKSBCmsRERERERGRNFBhLSIiIiIiIpIGKqxFRERERERE0kCFtYiIiIiIiEgaqLAWERERERERSQMV1iIiIiIiIiJpoMJaREREREREJA1UWIuIiIiIiIikgQprERERERERkTRQYS0iIiIiIiKSBiqsRURERERERNJAhbWIiIiIiIhIGqiwFhEREREREUkDFdYiIiIiIiIiaaDCWkRERERERCQNVFiLiIiIiIiIpIEKaxEREREREZE0UGEtIiIiIiIikgYqrEVERERERETSQIW1iIiIiIiISBqosBYRERERERFJAxXWIiIiIiIiImmgwlpEREREREQkDVRYi4iIiIiIiKSBCmsRERERERGRNFBhLSIiIiIiIpIG9tS+8NKlS0yfPp1ffvmFU6dO4XA4yJ8/P/feey/PP/8899xzT3rGKSLiMpQfRUSSpvwoIu4qVYX10aNHefbZZ7l06RIeHh4ULlwYDw8Pjh8/zoIFC1i2bBnTpk2jTp066R2viEiWpvwoIpI05UcRcWepmgo+atQoLl26RI0aNVizZg2rVq1i2bJlbNiwgSZNmhAZGcmQIUNwOp3pHa+ISJam/CgikjTlRxFxZykurCMjI9m6dSsAb775JgUKFEg8litXLsaOHYvFYuHUqVMcPXo0/SIVEcnilB9FRJKm/Cgi7i7FhXVsbCwOhwOAIkWK3HI8MDCQwMBAAOLi4tIYnoiI61B+FBFJmvKjiLi7FBfWAQEBBAcHA7Bjx45bjh89epSrV68SEBBAsWLF0hygiIirUH4UEUma8qOIuLtUrbHu168fAEOHDuXHH3/kypUr3Lhxg19//ZWXXnoJi8XCa6+9hpeXV3rGKiKS5Sk/iogkTflRRNxZqrqCt23bFl9fX6ZMmcLLL79807GyZcsybdo0Hnjggdu+ftasWcyaNStF10yYPiQikpUpP4qIJE35UUTcWaoKa6fTycmTJ7l69So2m+2m7RIOHTrEggULqFKlCjlz5kzy9WFhYZw7dy4tcYuIZEnKjyIiSVN+FBF3lqrCeuTIkXzzzTdUr16duXPnUrhwYQAuXbrEsGHDWL16NSdOnGDx4sXYbLZbXu/v70/+/PlTdE2Hw8GFCxdSE66ISKZRfhQRSZryo4i4M4szhZsF7t+/n7Zt22K321m9enViI4oEYWFhPPjgg1y5coUJEybQunXrdAk0LCyMmjVrsm3bNvz9/dPlnCKSfWRGDlF+FBFXldF5RPlRRFxVcvNIipuXbdu2DafTSbFixW5JimD8mlilShUA9uzZk9LTi4i4LOVHEZGkKT+KiLtLcWEdHh5+1+ckDIJHR0enPCIRERel/CgikjTlRxFxdykurBP2FgwNDeXvv/++5XhYWBi7d+++6bkiItmB8qOISNKUH0XE3aW4sL7vvvvIlSsXsbGx9O/fn1OnTiUeu3TpEq+++ipXrlzBy8uLFi1apGuwIiJZmfKjiEjSlB9FxN2luCu4n58f7733Hn379mXHjh00b96cIkWKYLfbOX78OLGxsdjtdt56660Ud24UEXFlyo8iIklTfhQRd5eq7bYaNmzI999/z6xZswgJCeHMmTM4nU7y5ctHrVq16Ny5MxUrVkzvWEVEsjzlRxGRpCk/iog7S1VhDVC8eHFGjRqVnrGIiLgF5UcRkaQpP4qIu0rxGmsRERERERER+ZcKaxEREREREZE0UGEtIiIiIiIikgYqrEVERERERETSQIW1iIiIiIiISBqosBYRERERERFJAxXWIiIiIiIiImmgwlpEREREREQkDVRYi4iIiIiIiKSBCmsRERERERGRNFBhLSIiIiIiIpIGblNY79sHLVvC2rVmRyIiIiIiIiLZid3sANKD0wnPPhvFjh3e7NsXx8GDdry8zI5KREREREREsgO3GLEePvwAO3Z4A3DihJ1p00wOSERERERcxrZtsGSJMVgjIpIaLl1Y//abg0aNzjFmTNl/HjkAwLx50eYFJSIiIiIuIzYWatWCdu2MAltEJDVcurBu1eoEGzbkB8DHZzUFC44G4K+/InE4zIxMRERERFzBli3//r1hg3lxiIhrc9nC+tSpSC5eLApAYOB7zJjhwwsv1Afg+vUAwsLMjE5EREREXMHKlf/+/dtv5sUhIq7NZZuXffTRXqAWNttf7NrVk4IFA/j111jgKpCTAwegdm1zYxQRERGRrG3ZsjgSbok3b47C4fDG6rJDTyJiFpdNG4sXRwBQvPgJChcOxMPDSqlSJYGDAPz5Z6yJ0YmIiIhIVhcVBXv3/jvOdOqUN+fOmRiQiLgsly2sjx8vCEDTpt7YbBYAChUqhNV6GIDffrtsWmwiIiIikvWdP5/QBjwGOArA9u2mhSMiLswlC2uHw0lMTAEA7r03X+LjNpuNoKBLAOzbF2lKbCIiIiLiGg4duvrPXxeAMwAasRaRVHHJwvrYsUuAPwB16uS/6VjhwkZBffy4LbPDEhEREREXcuDAlX/+Og8YgzPnz2trGRFJOZcsrLdtM35KtFiuULiw/03HSpb0AuDKFS+czlteKiIiIiICwJEjNwDw9g4nobAODb1qXkAi4rJcsrDeu/caAJ6eF/Hx8bjpWIUKuQCIiAggLi7TQxMRERERF3HihDHTMUeOKHLmjAfg2LErd3qJiEiSXLKwPnTISIJ+flcTG5clqFIlLwAOhzdXlBdFRERE5DbOnDFGYQIC4ggIMHaUuXRJU8FFJOVcsrA+ftxIgjlzRmK5ua6mRIn8wHUATp7UXHARERERSdqFC8Z/c+d2kjOncX957ZpL3h6LiMlcMnOcPWvsN5gvX/wtxwoWLAj8DcDRozGZGZaIiIiIuJCrV40lhfny2QkKMgZkbtzwuNNLRESS5JKF9eXLPgAUKnRr5++8efMCZwHYv/9qJkYlIiIiIq4kLMwXgEKFvMmb17gtjojwVgNcEUkxlyysw8ONBmUlS/recsxms+HjYyyuTuj0KCKSnZ0/D1WrXuell27oZlFE5D+iowMAKFkykPz5jRmRUVG+OLTMWkRSyCUL67i43AAUK+aV5PGAgHAATp3SVHARkR49TvLnnwFMmeLHH3/cuoRGRCQ7ioyMxOHIA0CFCnkoVMi4r4yN9SVGt5AikkIuWVg7nZ4A+PvbkzyeO7fR1fHsWQ3NiEj2dvIkLF1a4J//ZeWll86aGo+ISFZx4MApwA+AcuVyUbhwwkxIa2JTMxGR5HLJwhqMphJ+freusQbIn9+Yv3PlippPiEj2NnHiKZxOD+A4ANu25SY21tyYRESygh07jGa3FksU+fN7kjdvLuAqgAprEUkxly6sfXySLpyLFjUev3Hj1jXYIiLZQXw8bNgAixZFA5A797dAPA6HN8ePazq4iMiff14DwNv7At7eNoKCgoBLAJw7p1mPIpIyLldYx8XFA8ZUcF/fpKeClyhhdA2PjAxQ8wkRyZY6d/6LRo3g5MmSADz3XDAJo9YbN543LzARkSziwAHjh8eAgKvYbPxTWF8E4Px53UCKSMq4XGEdGfnvHEY/v6RHrMuWzQFAXFwAYWGZEpaISJZx/vwN5s0rcdNjvXo1xMvrFAC//XbFjLBERLKU48ctAOTNG43FArly/TsV/Px5dS8TkZRxucI6IuLfROfrm3RhXbp0PiAKgFOnMiMqEZGso2fPX4F/d00oWnQOxYoFkyvXZQAOHIgyKTIREfM5ncZAzblz3gAULmw8HhgYCBhbtV64EG5SdCLiqpKeS52FRUb+uzYwR46kt9sqWDAY+BsozrFjMVSo4Jk5wYmIZAHbtxtdbmvWXM0jj4TywAP34ulpo2DBSM6ehZMnk278KCLi7o4dc1K79lUuX76O09kKgDJljJ48NpsNT89oYmLgwgX9ACkiKeNyI9b/nQp+uzXWefPmBYwtZfbuvZwZYYmIZBlXrhjLYcqV82TEiBdo2LASACWN5dZcuOBvVmgiIqb64IODXLqUC6fznsTHqlXLnfi3j49xn3n5cnSmxyYirs0FC+u4f/6Kx263JPkcm82Gt7exhvDgwRuZFJmISNYQHp4HgHLljALa8k+qrFTJaOwYFpaHeDUGF5FsaOfOq7c8Vr16YOLfvr5Gcrx6Ne6W54mI3IkLF9axWK1JF9YAOXIYXctOntQvjiKSfYSFReJwFACgdu18Nx2rXj0IgLi4QK5fz/TQRERMd+rUrbMdS5T4d8mgv7/RDfz6dW23JSIp44KFdcIwy50L69y5jSZnZ89quwQRyT527vwbY0vCOKpUyX3TsUqVigJGbjx9WqMxIpL9XLxozORp3XodefM6adgwHh+ff2+HcxgraYiIMCM6EXFlLldYR0cbhbXFcufCukABo6C+fDnpzuEiIu5o585LANhs58mZ8+YGj8HBBUjYo/XQoauZHJmIiPnCw/MCUK+elQMHLMyda8P+n0HsgADjvxERavIoIinjcoV1wlRwiyXujoV14cJGlrxxwydT4hIRyQr27jX6Svj4XMLL6+YbQ29vbywWo6Hj0aPqPyEi2cuVK3E4HMaSmHvvLUCuXBAc/G8fCoBcuYy8GRXlchvniIjJXK6wThixhjsX1sWLGwV1REQADs0GF5Fs4uhRo6NtYGAY1iQyvKensbj6xAnt0Soi2cvWrWf/+esSVaoYm1fb/m9gOlcuo6COjtZWrSKSMi5XWCessb7biHWFCsY+rrGxQVy7limhiYiY7tQpI63nzZt040YfH6Ox499/x2RaTCIiWcG2bcZSGE/Pv/H3907yOXnyGEtoYmO9NTAjIinicoV1TIyR5azW+DsW1mXL5gWMKY/796uzo4hkD1ev+gKQJ0/Szcn8/aMAuHBBzctEJHvZu9eYqePvfwVPz6TXUOfNq8JaRFLH5Qrr/45YW25fV1O8eHHgEAC//659ZUQke4iNNaYx+tymvURgoDFV/PLlOyRQERE3dO2a8YOij8/tB2fy5TOSp8PhR5x+fxSRFHC5wvrfEes7Z7ucOXPi7X0agK1bL2R4XCIiWYHDYaR1j9tsiJArV8IerdoxQUSyl+hoYwaj3X77oejgYL/Ev69rXEZEUsDlCuvo6H+ngt9NcLCxlvCvv6IyNCYRkawiLs6Y3ujpmfRoTN68xuPh4WrMIyLZS6wxYQeb7faFdd68OYCEmT2aCy4iyedyhXVUVEJhffdkV7q0cQN5+rRuIEUke0gYsfbySjq9FyhgFN6Rkb6ZFpOISFaQUFjb7bfvvZMrV07A2I7w8uW7D+KIiCRwucI6NtZIhskZsa5e3R+Aq1dzqQGFiGQLDoexxtrLK+kR68KFjU640dH+yosikq3ExBh58U5TwQMDAwFjDvi5c5rxKCLJ53KFdUqmgj/wQDAAMTF5OXNGncFFxP3Fxxsj0rcbsS5a1Bipjo0NVGMeEclWEnLe7XpQAAQEBJAwYn3mTFjGByUibsPlCuuYmOSPWNerVwb4E4D5869mYFQiIlmD05kwYp10ei9WLMc/f3lw6ZJ+cBSR7CM29s7NHQGsVis2m7Et1/nzEZkRloi4CZcrrGNjjRHrOzWeSBAUFETu3L8D8M03lzI0LhGRrMDhMEasfXyS3qO1UKFcgHHTePq0hqxFJPuIjU2YCn7nHxU9PIwp4OfPayq4iCSfyxXWMTHGf2225I20NGliJMU9e/IlvlZExF05HMZQjLd30oV1njx5gHMAHDum0RgRyT7i4ozC2sMj6R4UCby8IgG4fFk/PopI8rlsYZ2cruAAzz5bArhCTEwA33+vTj0i4t6czoQRa3uSx/39/bFYLgBw6JA2aRWR7CMuzrjtvduIta+v8aPjxYu6bxSR5HO5wjqhK/idOjr+V9OmD2C1zgbg/fdv4NSSQhFxYwlrrG83FdxiseDldQ3QiLWIZC/x8cZItedddmHNkcOY7Xj5ssvdJouIiVwuYyTsQZicNdYAfn5+NGmyH3Dwxx+BbNuWcbGJiJjN6TTuGH19kx6xBvD3N9ZY//13dKbEJCKSFcTFGT843m0qeJ48RoPcq1dvn0dFRP6fyxbWd5vG8199+7YEFgPw+usOjVqLiBszbgRvt8YaIDDQKKjPndM0RxHJPuLjjdveu41YFyxo9Kq4ceMuTxQR+Q+XK6zj4hKmgif/NS1btiRXrvFAHOvWWVm3LmNiExExn3Ej6Od3+/1kcuc2RmOuXLl98S0i4m7i442c5+l559vfokV9AAgP99VgjIgkW5rmuMTHx7No0SKWLl3KoUOHiIiIIE+ePJQvX5727dvz4IMPpleciRK2SkhuV3AADw8PXnyxMe++OwfoyqefQtOm6R6aiEgiM/JjfLyDfwvr26f3/PmN/16/rtEYEcl8ZuRH47oJhfWdp4KXLJkDgJiYABwOsOk3SBFJhlQX1teuXaNHjx7s3LkTi8VCsWLFKFSoEOfPn2ft2rXY7fYMLaw9PFL2E2Lv3r15770OOBxdWbo0ngsXbOTNm+7hiYiYlh8jI2MT//b1vf2IdeHCRkEdEeGH0wmWO99jioikG7PyI4DDYYxUe3vfecS6bNmgf56fg7AwJ4GBSpIicnepKqwdDge9evVi586dNG/enGHDhlGgQIHE42fPnuXkyZPpFuR/JexBmJI11gCFCxemffuCLFy4h5iYSnz5Jbz6akZEKCLZmZn58b+F9Z2mgt9zjzcAUVE5NBojIpnGzPxoXN+47fXyulthnR+IBTw4eTKawEDvDItJRNxHqtZYf/PNN2zbto26desyefLkm5IiQIECBahdu3a6BPj/ErZKsNtT/uthv36vAJ8D8PnnscTHp2dkIiLm5sfw8LjEv/39vW77vIRpjvHxgURFZUgoIiK3MDM/wr+F9d1GrIOD8wMXANi9+0KGxSMi7iVVhfXs2ca+0K+88gpWa+b2P0vtiDVA/fr1qVRpJxDFwYMebNqUvrGJiJiZH5M7Yl2yZC7AKMJPn1ZncBHJHGbmRwCHw5iec7cRa5vNht1+FYADB65kdFgi4iZSPBU8NDSUo0ePkjNnTmrUqMGaNWtYtWoVFy5cICgoiPr16/Poo4/iebe9DFIpYauEu+1BmBSLxcKECcN46KFvgefo3/8Kf/yRS+sLRSRdmJ0fIyISCus4PDxuf+NojMacAwpx6FAMZcpomqOIZCyz8yOAw2H84Ojre/fbX1/fG1y/DkeP3mD3bmjRAh57DCZPVl8KEUlaigvrvXv3AlC8eHFee+01li1bdtPxH374gZkzZzJ9+nQKFSqUPlH+R1xc8vYgvJ3mzZvTsuUrrFz5FNu35+K110Lo3TsfxYsXx6JMKSJpYHZ+jIpKWN8Sg9V6+/SeJ08eYANQiN9+u0GrViqsRSRjmZ0fAZxOIy/6+Ny9sUSOHNFcvw6nT8fQowecOQMffQTNmkGbNhkSnoi4uBQX1hcuGGtN9uzZw44dO3jiiSfo1asXefPmZdu2bQwfPpyjR4/St29fFi5cmORUn1mzZjFr1qwUXdfhMKYr/rvGOqWR/2v+/Le4557ZXL/+PBMm1GPChK0EBCxg5MhcDBjQM/UnFpFszez8GBmZsMY6Fpvt9lPB7XY73t7HiIqCXbu0yFpEMp7Z+RFSVlgXKhTO6dOwbl3jmx4fNgxat9aotYjcKsXlaUREBACxsbHUqlWL0aNHJx679957+fjjj2nbti179+7l559/pkmTJrecIywsjHPnzqUq4IT1MamZCp4gZ86chIQ0oWHDXVy4UBWoy/XrdRk4cAf797/FtGkjU31uEcm+zM6PkZHGiLXFEofVeuccGRx8hWPH4MCBlPerEBFJKbPzI4DTafzg6Od392mP/frl5Zln/v3fpUtv4NChhuzdC5cuQZ48qQ5DRNxUigtrL69/O8126tTpluPlypWjbt26hISE8OuvvyaZGP39/cmfP3+KrutwOLhw4ULiiLWnZ9p+KixfvgRHjjj59NM4QkOjmTkToqKq8/nnNh555Cdat26epvOLSPZjdn5MmApuscTetbAuV87BsWNw+rQvDgeY0EdIRLIRs/OjwSisfXzunvA6dKhJp05niYszOpcfOvQwdvtB4uIKsXkzPPJIisIQkWwgxYV1QEBA4t8lSpRI8jklS5YkJCSE06dPJ3m8a9eudO3aNUXXDQsLo2bNmjgcCWus034XmCOHhQED7MTG2unZE2rXDiMmpgqdOy/k7NnGeHjcfiqliMj/Mzs/JkwFT86Ide3afqxcCTduBHH9OuTMmaJLioikiNn50WCMVPv63v3+zmKxMHjwQUaPthMcPJG//44gLu5XoAObNqmwFpFbpbg6LV68eOLft+vcmPB4fAZsFB0fb/wW4OWVPotbbDbw9oYqVWDUKGOa+eXLffn007npcn4RyT7Mzo/R0cZawuQV1sUw9mm1smtXuociInITs/NjXJwTMO7z/P2TN3Dy9tsPcPq0D5s3D+GJJ54AtgCwbVu6hycibiDFhXWFChUSp/OcPHkyyeckPJ7S6TrJkdw9CFNj4EAfAgOvAnl5++3DGZLYRcR9mZ0f/50KHnfXXQ7Kly8PGHeHa9bE3fG5IiJpZXZ+/Hc7QvDzS/6MxIIF/ShWLAfPPfccEALAzp1OdIsoIv8vxdWpr68vDRs2BGDx4sW3HL9w4QIbN24EoF69emkM71YJU8EzorC226F/fyPpX7jwFN988226X0NE3JfZ+TGhsLZa4+7asbZYsWLYbOsAWLlSncFFJGOZnR9TW1gnaNCgAbAHgEuXLJw9m16RiYi7SFV1+tJLL2Gz2fjhhx9uSo7Xr19n8ODBREVFUaRIEVq0aJFugSZwOIyp4N7ed98qITVeftkHD49ooAqDB2/H6VTHXBFJPjPzY0yMka8slrsPpdhsNkqWPALArl3eXL+e7uGIiNzEzPwYGflvYe3v73WHZyYtZ86cFC+eHzgOwJ496RWZiLiLVBXW5cqVY/jw4TidTgYPHkzjxo157LHHeOCBB9i4cSO5cuXio48+uu0amrRwOo2COqMK61y5oG9fI/mePPki33//U4ZcR0Tck5n5MSrKWGNttSZvjmKrVsWA08TF2Vm1Kt3DERG5iZn5MSIiIS/G4+ubuvMbTdD2A7BvX/rEJSLuI9XzqZ9++mnmzp1L48aNiYyM5MCBAwQFBdGxY0e+//77f9bvpT+nM2HEOsUNzZNt1Ch/fHyuAiV4/fW9GXYdEXFPZuXHmJiUFdYPP9wS+A6AKVOcOBwZEpaISCKz8uO/U8FjsNlSd/v738L6wIH0iUtE3EeaqtNatWpRq1at9IolWRIK6+TsQZhafn7w8ssxvPceHDzYlj/+2E2tWpUz7Hoi4n7MyI8JI9Y2W/IK6wYNGuDjM4DIyJfYsMHKtm1Qu3ZGRigiYk5+/LewjsVq9U7VOWrUqAEYU9gPH06fuETEfWRcdZphMn7EGmDEiHx4el4BSvDSS1sy9FoiIukhYY11ckesvby8aNasOAk3iuPHg9pKiIg7+nfXhFhsttRt2Vq9enUSRqwPHoxXvhSRm7hcYf3viHXGrLFO4OsLnTtfAeC33xpx6tS5DL2eiEhaxcYmFNbJn9P95JNPAhMAWLzYSWhoBgQmImKyyMiEHxxjsVpTV1jnzZuX4GCj0+OpU1bCw9MpOBFxCy5XWCeMWPv6pnyrhJQaP744NttVoAw9e67P8OuJiKRFdLRRWCd3KjhAmzZt8PLaDmwmNtbCZ59lUHAiIib6d8Q6LtWFNUCtWoWBqzidFjUwE5GbuGBhbXRyzJMnR4ZfKSDAwqOPGtsqrFpVlfBw7fUqIllXTIzxX5st+fMTAwIC/tnaZiYAP/6o6eAi4n4iIuIAYyp4Wgrr2rVrkTAdfK/624rIf7hcYW2xGIV1rlwBmXK9zz6rgMVyDYejPH37bsiUa4qIpEbCVHCbLWXtvTt06AD8AMCuXU5OnUrvyEREzPXvrglxWCypL6yNBmZGYf3XX+kRmYi4C5crrNu0sVC/vpMiRbwy5Xp58njQsKHxk+S8eUWJj9dQjohkTbH/NL2121NWWLdu3Rpv7yvADpxOC8uXp39sIiJmSlhjndap4P8trPfvj73zk0UkW3G5wnrGDPj2Wwv2jG0K/n/XrAjcICamPIMHb8u8C4uIpEBqpoID+Pv78/DDD5Mwaq3CWkTcTcIaa6s1Lk3nCQ4OJjDwLAB79kRp6YyIJHK5wtrTE3LlMvaaziwlSgRSo8ZmAD78sBDXr2fetUVEkivun/vFlI5YA7Rv3x5YCMDatXDhQjoGJiJisoTmjsndjvBOqlY1Zk2eOuWVmHdFRFyusAbw8cn8a375ZVngBDExwfTq9XfmByAichexscb0xtTM6GnZsiUWy5/AfqKjYeHC9I1NRMRMUVEJa6zTXljff38wEENsrCf796f5dCLiJlyysDZDpUrFqFv3KwC+/jo3Bw+aHJCIyP9J7RprgKCgIO67rz5g5LkpU/6dWi4i4uoSmjumR2Fdu3Y1wFga+PPPaT6diLgJFdYp8MEHDYF1OBye9OkTYXY4IiI3iYtL/Yg1QNu2bYFPsVpvsGcPfPBBuoUmImKq9ByxNhqY/QrAhg1qYCYiBhXWKXDvvfWoVOkLwMHq1b6sXWt2RCIi/4qPNwprD4/Uvf6ZZ57BZruEw/EaAG+/DUeOpFd0IiLmiYlJ2I4w7YV1kSJFyJ17HwC//BKJI+WThETEDamwTqFRo9oBMwB4/fUYdYMUkSwjNtZI6aktrIODg3nooYeAaeTJc4zwcHj+eQgPT78YRUTM8G9hnfYq2GKx8NRThQEHFy4EEBqa5lOKiBtQYZ1Cjz76KOXKfQvEs22bJ7t2mR2RiIghPj5thTVAr169ACdXrz6B3e7g55+hTRuI0OoXEXFh6VlYA3Tr1g74DYApU5QgRUSFdYpZrVbefbc3sAKADz9Udx8RyRoS1lh7eKR+Kk2rVq1o06YNcXHbCAzsiJdXPOvXw3PPQXzaZ1CKiJgioXlZehXWNWrUIDh4OQDTpkWo2aOIqLBOjTZt2pAv32IAvvrKwY0bJgckIgLEx9sA8PCwpPocFouFzz//nBIlSnDp0tdER7fCYonju+9g8uT0ilREJHNFRxv/tdvTZw2fxWJh4sQ6wBVu3MjDxInn0+W8IuK6VFings1mo3//CkAoUVHezJunrhUiYr6EBjqenqkvrAHy58/P5s2befjhh7Hb1+J0DgZg2DCnmpmJiEuKjTXyYnqNWAM89VQbChdeBMCbb9q5eDHdTi0iLkiFdSq98EI37PaZAEyceENNzETEdOkxYp0gf/78LF++nO3bt3PPPd8BW4iKsjB+vJKdiLieAgXOArHky3cy3c5psViYP78acITo6CAef/yClsyIZGMqrFMpd+7ctG9/DYjl0KFAtm41OyIRye7sdiOl587tly7ns1gsVK5cme++W4jN9i4AM2fGcfp0upxeRCTTDB9ejebNn2PAgJLpet4GDWrRuPEcII4NG/Iyc6ZmMYpkVyqs02DQoE7AdwCMH6+OkCJirg8+KMgDD+yhS5fS6XreGjVq8OqrFYEdxMR4MG5cbLqeX0Qko5UsWZIvvpjFvffWTvdzz5zZBat1LAAjRoQRqxQpki2psE6DmjVrUrr0WgCWLrVz5ozJAYlItvboo3mYO7c8xYvnTvdzDx/+BrlyfQrAp5/GcelSul9CRCRDBQf7UKiQb7qft1ixYvTpEwNc5ezZAObOjUv3a4hI1qfCOo36968B7CA21pMPPtDaQxExV3Cwjdy5077G+v/5+fnx7ru1gf1ER/swYUJ0ul9DRMRVjRo1EG/vGQC8+eb5xGaSIpJ9qLBOo44dn8HL6wMApkyJ5bx2WxARE9ntYEn/uhqAbt06kzv3dAAmT47RVoMiIv8IDAxk4EBfII4TJwry++9mRyQimU2FdRoFBATw4ot5gX1ERHgycqTZEYmIZAwPDw/Gjq0MHCciIgf9+kVrRwQRkX+8/PJjWCyLARgz5oLJ0YhIZlNhnQ4GDuyH1ToIgM8/d7B7t8kBiYhkkC5dOlKgwDgAZs704uuvTQ5IRCSLyJcvH7Vr7wVgzRpPYmJMDkhEMpUK63RQpEgRnn46J/AD8fFWXn0VjeKIiFuy2+1MmFAfmADAwIHxXLtmbkwiIlnFq6/WAK4RGRnIunVqYiaSnaiwTieDBg0CBgJx/PQTLFtmdkQiIhnjqaeeokyZ+cAJ/v7bxnvvmR2RiEjW8OijLfD0/AmAiROPmRyNiGQmFdbppEqVKrRqVRL4BIDXXoNoNc0VETdks9kYM2YIMBiAjz92qHGjiAjg6elJs2bGNJ4NG4J0LyiSjaiwTkfvv/8+FsvbwCUOHoRPPjE7IhGRjNG+fXsqVdoH7OPGDSsTJpgdkYhI1jBq1L3AJWJicjNr1hmzwxGRTKLCOh1VqFCBbt3aAkZr8NGjnVxQU0gRcUNWq5X33nsHGAXAlCnxGrUWEQFq1KhIwYIbARg37pTJ0YhIZlFhnc5GjRqFj88cYB9XrlgYN87siEREMkbLli158MGrwD7CwmxMnGh2RCIiWUO/fkEAHD1akdDQGyZHIyKZQYV1OitYsCADBvQF3gJgxgwnN5RPRcQNWSwWxo0bC4wGYMaMWK0nFBEBBgy4D7v9GODHwIEbzQ5HRDKBCusM8Prrr5M79wYglMuXLcycaXZEIiIZo1q1ajRufAW4zMWLHvzwg9kRiYiYz2az0qzZ3wCsWJGT+HiHyRGJSEZTYZ0BcuTIwciRw4DJAEyeHE+ctjIUETc1eHB/YD4An32mIWsREYBx4yoDcURH38v77/9idjgiksFUWGeQnj17UqzYOuAax47ZWLzY7IhERDJGs2bNKFXqVwBWr7Zz+LDJAYmIZAEVK+agdOmdAIwf78TpNDceEclYKqwziKenJ++9Nwz4HIA33oghNtbcmEREMoLFYmHEiNbALzgcNiZN0pRHERGACRPyAXD5cmMmTNhlcjQikpFUWGegJ554gqpVfwSucfCgJ59+anZEIiIZ48knn8Tf3/gh8YsvYomIMDkgEZEsoE2bopQs+TMAb7yRiwsXNGwt4q5UWGcgi8XC5MlvkLDP65Ah8Rw6ZG5MIiIZwcvLi27d8gHnCA/3YsUKsyMSEckavvuuJHCa6OiiNG58QTMYRdyUCusM1rBhQ1q0OAiEEB5uo1MnlFBFxC316NEN+AaAGTPCzQ1GRCSLqFKlCE8++RUQzt69+fjsMy2XEXFHKqwzwfjxY7FYOgFhhITAmDFmRyQikv4qVqxIxYrGGsK1az24fNnkgEREsogpU7ri6TkWgKFDo7hwweSARCTdqbDOBBUrVqRLl/uBVwB4/30nJ06YG5OISEbo3/8+4AhxcZ4sXKi1hCIiALlz52boUD/gMDdu+PLMM3HEx5sdlYikJxXWmeTtt9/G2/sr4DciIy2MHm12RCIi6e+pp57Ew2MhAFOnXtT2MiIi/3jttZfJnftlIJo1a+xMmWJ2RCKSnlRYZ5JChQrxyisvA8MA+OILJwcPmhuTiEh68/f355FHwgDYtSsXoaHmxiMiklX4+voybtwTJNwLjhjh4OxZc2MSkfSjwjoTDRkyhFy5tgM/Extr4c03zY5IRCT9DRrUBtiM02lnwgTtuyUikqBTp05UqLAG2MvVq1bGjjU7IhFJLyqsM1FgYCAjRgwn4ZfKb75xsnKluTGJiKS32rVrU7CgMR38iy8gLMzceEREsgqbzcbEie8BQwGYNs3BmTPmxiQi6UOFdSbr1asX99xzGpiJw2Gha1e4dMnsqERE0o/FYqFnz7zAacLDfZk3z+yIRESyjubNm9O4cRiwg8hIKxMnmh2RiKQHFdaZzMvLi3fffRfoi8VymHPntP2WiLifZ599CjA680yaFKPutyIi/7BYLEyYMB54F4Bp02K5ds3cmEQk7VRYm+Cpp56iWrUyOJ2vAjBlChw7ZnJQIiLpqESJEtSosQ2IYv9+T375xeyIRESyjurVq/P0095AKDdueDBlirZQEHF1KqxNYLVaGT9+PPA9sIXoaHj/fbOjEhFJX127tga+BWDGDHNjERHJat59923s9g8AePPNeHbtMjkgEUkTFdYmadq0KW3atAHeBuDLL52cPm1uTCIi6emJJ57Aav0CgO++i9dURxGR/7jnnnt4+WVPYB0xMXYee8zJuXNmRyUiqaXC2kSfffYZAQGbgW1ERlro1w+cmgkkIm4if/78NGvmBRwhMtLGV1+ZHZGISNYybNgQ/PxeBE5y5IiF7t11LyjiqlRYmyg4OJjRo98GXgIcLFwIixebHZWISPrp1q0LMAuAL75w6IZRROQ/goKCePXVZ4BHAQcrVsCWLWZHJSKpocLaZC+++CJly14FJgPQty9cvmxqSCIi6eaRRx4hIGAJ4GDrVit795odkYhI1jJo0CCKFbsCfAPAa69BdLS5MYlIyqmwNpmHhwcffPAB8AZwlDNn4PnnweEwOzIRkbTz9vbm2WcbAj8C8Pnn5sYjIpLV+Pr6Mn36dOAtIILNm6FHD90LirgaFdZZQMuWLXnooQZAJyCexYvho4/MjkpEJH1069YNmAnA11/HayRGROT/NG3alFGjOgLPAA5mz4Y339R6axFXosI6i5g0aRI2WwgwCIBhw+DQIXNjEhFJDzVq1KB8+cPAJc6ft7F8udkRiYhkPW+88QYPPhgOvALAO+842bnT1JBEJAVUWGcR5cqVo1evXsAHeHtvJzwc+vfXL5Ui4vosFgvduz8LzAVg5kxz4xERyYosFguzZ88mKGg+sJT4eAtDhuheUMRVqLDOQkaNGkVQUC6iojoDTlasgE2bzI5KRCTtnnvuOWy2LwH46ScHJ0+aHJCISBYUHBzM7NmzgcFAPD/+CCtWmB2ViCSHCussJFeuXIwaNQrYg4fHAgD69YPYWFPDEhFJs3z58tGqVRFgK3FxVmbNMjsiEZGsqVWrVgwa1Ab4FIBXXoklIsLcmETk7lRYZzEvvvgilSpVIjb2Nez2SLZtg1GjzI5KRCTtXn75ZWA6ALNmxREfb248IiJZ1ZgxY6hSZSFwkaNHPfjgA7MjEpG7SZfC+oMPPqBs2bKULVuWKVOmpMcpsy2bzfbP/w1PEhf3IgDvvw979pgbl4ikjvLjv5o0aULlyvuAMEJD7axbZ3ZEImI25cik2e12Pv30HWAoAGPGxLFvn7kxicidpbmwPnLkCDNmzEiPWOQfDRo04KWXXgJm4+W1gZgY6NVL+xmKuBrlx5tZLBaGDXsZ+AaAqVO1zkUkO1OOvLN7772Xzp3jga1ERtpp2dLBmTNmRyUit5OmwtrpdDJixAg8PDyoV69eesUkwNixYylQoADR0d2x2WLZuFGddEVcifJj0h577DHy5zc68SxfDhcumByQiJhCOTJ5PvzwAwoUeAk4xokTVjp3RstoRLKoNBXWCxcu5I8//qB3794EBwenV0wC+Pv78/777wNHsFjeAWDwYDh3zty4RCR5lB+TZrfbGTasCbCP2FgPvvwyzuyQRMQEypHJExAQwJdfvgO0A6JZswZq1YIdO8yOTET+X6oL68uXLzN+/HhKlSpFly5d0jEkSfDss89St25d4uLewd//FJcuwauvaj9DkaxO+fHOunfvho/PfAAmTbqm0ReRbEY5MmWaN2/OCy/UAZ4HIti5Ex58EP74w+TAROQmqS6s33nnHa5evcrIkSPx8PBIz5jkHxaLhY8//hiLJZawsGcAmDsXtBxJJGtTfrwzX19f+vTJAURy+nRufv5ZvxaKZCfKkSk3ceJE7rnnV6AEOXIc5vJlePZZtA2XSBaSqsJ6y5YtLFu2jEceeYQ6deqkd0zyH7Vq1aJz587Ar+TJYyyyfukl+Osvc+MSkaQpPybPoEHdsdkWAvDGG39rJo5INqEcmTr+/v7Mnz8fD4/L3LhxL15eNzhwAIYN00xGkazCntIXREdHM3LkSHLkyMHrr7+eqovOmjWLWbNmpeg1jmzcEnvs2LEsWrSIixefp1Sp5hw+XJghQ2DxYrBYzI5ORBIoPyZfnjx5eOyx0yxYACEhBdiyBerXNzsqEclIac2R2SU/3k79+vX56KOPePHFF4mO7g4sYPJkaNAA2rc3OzoRSXFhPWXKFI4fP86IESPIkydPqi4aFhbGOXXhSrb8+fMzfPhwBg0axIULzwHr+f57mDMHOnUyOzoRSaD8mDLvvdeBb7/9GqezA127XmbfviBsNrOjEpGMktYcmZ3y4+307NkTT09PunXrBnyK0/kivXsbxXXevGZHJ5K9paiwTthvsGLFijz99NOpvqi/vz/58+dP0WscDgcXsvG+LK+88gozZ85k//6fKVZsOaGhrXn+ebh+Hfr0MTs6EVF+TLlixYrRqdMMvvwygoMHg5g920HXrmnarEJEsqj0yJHZKT/eSdeuXdm+fTsff9wPq7UZ586VpH9/Y8BFMxlFzJOiwvrNN98kPj6eN998E6s19Tc/Xbt2pWvXril6TVhYGDVr1kz1NV2dp6cnc+bMoV69eoSGPkqtWof4448S9O0LXl7wwgtmRyiSvSk/ps64cS8zf/4kYmOHMmBABG3b+pMrl9lRiUh6S48cmd3y452MGzeOVatWcfjw88B65s0zltP07m12ZCLZl8XpTH7Lg1q1ahEREUGuJO56bty4QXR0NL6+vvj6+lKgQAEWLVqUboEmJMZt27bh7++fbud1NSNGjODtt98mMDAXbdocZ+7cHOTKBXv3graBFLm9jM4hyo+pN3z4u4we/TRQjK5d45gxw65RF5FM5q450tXz4538+uuvNG7cmPj4EcAIbDb48EPo1Usj1yLpKbl5JMU/GcbHx3Px4sVb/kVHRwMQERHBxYsXuXLlSuqjl9saPnw4VatW5dq1K5w58yRlyzq5cgV69AA36s8h4pKUH1Nn8OCXyZlzMACzZtlYu9bkgEQkQyhHpq8GDRowZcoU4E1gNvHxxs4x77yjTuEiZkhRYf3HH39w4MCBJP+1a9cOMNYCHzhwgHXr1mVIwNmdh4cHc+fOxdPTk3XrVtGu3VLsdli+HKZMMTs6kexL+TH1/Pz8GDu2MfAFYOGFF+K4ccPkoEQkXSlHZowePXowfPgbQBfgAwDeeAO++srMqESyJ3WJcUGVKlVi+PDhAEyb1o2BA8MAYy/D48fNjExEJHW6d+9O2bLTgHOEhtoZMULDLSIiyfHWW2/RtWsXYABW68eAMR1861ZTwxLJdlRYu6jXX3+d8uXLc/nyZUJDX6RKFaND+KOPwqlTZkcnIpIydrudr7+egs32CgAffuhk/XqTgxIRcQEWi4Vp06bRokULHI4BWK0hXL8OLVrA0qVmRyeSfaiwdlEeHh5Mnz4di8XCN9/Mo0uXn8mZE3btgmbNQMuTRMTVVKtWjTffrAwswOGw8tRTcfqhUEQkGex2OwsXLqRmzSo4HC2w23dw9Sq0bQvvvqs11yKZIUVdwc3kzl0d06J3795MnToVf39/ZszYyksvVeDiRaO4XrECPDzMjlAka3DnHOJO7y0uLo66dR9k+/apQHm6dYMZM8yOSsT9uVMe+S93fV+3c/78ee677z4OHz6Nh8dUYmM7A/DyyzBxIthsJgco4oIyrCu4ZC0ffPAB9913H2FhYfTr9yBTp57D0xNWr4Z+/fQLpYi4FrvdzowZk7BY+gDw5ZcO9u0zOSgREReRL18+Nm7cSI0a5YmN7ULOnBMAYxuuAQN0XyiSkVRYuzgvLy+WLVtG6dKl+fvvv3nnnZZMmRIHGF3C5883OUARkRSqVq0aPXqUBn4kPt7KsGHxuhkUEUmm/Pnz88MPP1CgQAGuXn2V4sXHA0Zx/d572p5VJKOosHYDuXLlYuXKlQQGBrJjxw5CQnrRp49xF9qrF+zfb3KAIiIp9M477xAQ8D4AS5ZY1d1WRCQF8ufPz/fff4+fnx/Hjr1G8eKLABgyBB57DC5fNjlAETekwtpNlCxZki+++AKA6dOnkyfPu9SqBTduwFNPQUSEufGJiKREUFAQEyc+A3wDWOjSJZKoKLOjEhFxHXXq1GHRokV4enpy7NjjVK36DTabkyVLoGlTCAszO0IR96LC2o20bduW8eON6T5vvz2C117bSs6c8OefRtMKTaUUEVfSrVs36tVbCFzhwAEf+vVzKo+JiKTAQw89xJdffonFYmHXrg60azeVgADYuROef17TwkXSkwprNzNw4EA6dOhAfHw8gwY9xSefGEPVM2YYa65FRFyFxWJh7tyxeHj0BeCzzyy89ZZ+JBQRSYkOHTrw4YcfArBw4Us89ti3WK3wzTcwc6bJwYm4ERXWbmjq1KkULlyY48eP88MPPXj9dePxfv2MJCoi4ipKlizJO+9UA14D4K234JNPTA1JRMTl9OnThzfeeAOAWbOepGXLXf88bjS61Q+WImmnwtoN5cyZk7lz52KxWJg3bx7Vqy/giScgLg6eew6++87sCEVEkm/AgAG0br0fMJqZvfKKk6++MjcmERFXM2rUKHr27AnAqlV1qV79LNHRxr3hhAmaFi6SViqs3VTDhg0ZOHAgAC++2JM33zxMq1YQGwtPPw1Ll5ocoIhIMlmtVr766ivq1VsCzMLhsNCjh4OTJ82OTETEdVgsFqZMmUL79u2Jj49m9+4S1K9/BIcDXnvN+BcXZ3aUIq5LhbUbGzNmDDVq1ODq1au0a9eKKVPO0aIFxMQYncJ//NHsCEVEksff35+1a9dQocJkYDthYVYGDtTwiohISlitVubPn0/r1q2Ji4vk998r8NxzZwGYOBG6dDHuE0Uk5VRYuzFPT0+WLVtGgQIFOHjwII0a3cv48Ud58EGIioInn4Tt282OUkQkeXx9fVm8eAHe3sZsnG+/tbJ6tclBiYi4GC8vL5YsWcKDDz5IbGwM27c/yOjRUVitMG8eDByoNdciqaHC2s0VLFiQ9evXU7hwYY4dO0bTpvX54INj1KoF16/D44/DpUtmRykikjxlypRh+vTngc8B6NLlmvZiFRFJIZvNxuzZs8mVKxd79+5l9eoWfPhhLAAffwzTp5scoIgLUmGdDZQrV46QkBDKli3LuXPn6N69A99/H0/BgnDsGFSrBgsWmB2liEjydOzYkc6dDwAXOHMmkHbtLmpdoIhICgUHB7N8+XJ8fX3ZsGEDP/30OH37xgPQty+89x5ERJgcpIgLUWGdTRQqVIgffvgBPz8/fvvtN959tx/ffgt58sCpU/Dss7BihdlRiogkz7Rp71C+/GggnjVr8nDffWGcOWN2VCIirqV+/fosXLgQDw8Pli5dyvbtTWjcOJboaBg8GGrVgt27zY5SxDWosM5GSpQowbRp0wD4+OOP+eOPD9m/Hx5+2OgW/txzxgi2iEhW5+npyZYtoyhYcBgQwW+/+VO9ehx//WV2ZCIirqVly5YsXLgQPz8/Nm36hWvXGjJ8eCRBQfDXX9CwIfz8s9lRimR9KqyzmWeeeYZRo0YB8Nprr3H48Fa+/RYqV4YrV6BDB7h2zeQgRUSSITAwkG3b+hEc/BhwkPPn7bRuHacfCEVEUuiRRx5h7dq1BAQEsH37Fn78sTE//hhGlSrG/eGjj8LmzWZHKZK1qbDOht544w0efvhhYmJiaNGiBXv2/MbXX4O/P/z2GzRpAvv3mx2liMjdFShQgE2bppAnz5PAaY4etVOlipNVq8yOTETEtdStW5cff/yRgIAAfvttKy+/3Jzvvw+jdm2j4W379hAaanaUIlmXCutsyGKxMG/ePGrWrMnVq1dp1qwZV65sYtkyyJHD2IKrVi2tuRYR11C8eHHWrZuDv39bYCthYRaeecbJoUNmRyYi4lrq1avHypUryZEjB1u2bOH117vzww9QqhScOwdPPKGGZiK3o8I6m8qZMyfr1q2jXr16XL9+nYceegj4mS1boEYNCA+Hdu3g11/NjlRE5O4qV67MqlWT8PF5GNjOlSsWHn00VltxiYikUP369fn++++xWq0sWLCAlSvnsHixMfjyxx/w/PNoJwaRJKiwzsYCAgJYs2YNDRo0IDw8nIcffpjTp39i/XpjOnhsrNEt/PRpsyMVEbm7++67jyVLvsLfvzNwkb/+8qBFi1jOnzc7MhER19K4cWMGDRoEQM+ePYmI+I0vvgCLBb76Ch5/XCPXIv9PhXU25+fnx48//siDDz5IZGQkbdu2Ze/eLSxYAEWKwIkT0LixsSWXiEhW17x5c0JCviYg4AUggk2bPGjQwMHx42ZHJiLiWt5++22aNGmSeH9Yt+5pPvsM7Hb4/nto3hwuXzY7SpGsQ4W14OPjw/LlyxOTZ8uWLdm9+2d++AEKFIBDh6B1a3ULFxHXULFiRdasGYqXV1PgNAcPWmnVyqnRFRGRFLDb7SxatIjSpUvz999/06ZNG555JoKvvwZfX9i0Ce67D7ZuNTtSkaxBhbUA4OXlxZIlS6hZsybXrl3joYceYseOOfz0E+TKBbt2wWOPQUyM2ZGKiNxd7dq1Wbx4BDZbY+Aie/daePllp9YFioikQM6cOVmxYgU5c+Zkx44dPPtsR9q1c7BiBeTObewi06ABLFtmdqQi5lNhLYly5MjBhg0baNWqFTExMXTq1Ik9e77iu+/AywvWroXBg82OUkQkeVq2bMnnnw8BegAwY4aFli2d6hshIpICpUuXZuHChdjtdpYsWcLgwYNp2NBocNuggdGTp3t3OHbM7EhFzKXCWm7i5+fH0qVL6datGwBdunTBbt/IZ58Zxz/6CH7/3cQARURSoGvXrnzyyYNAdyCaNWssVK3qZOFCsyMTEXEdTZs25ZNPPgFg3Lhx9Ov3CuXKOfn+eyhbFi5cMJYNXrhgcqAiJlJhLbewWq1MmzaNFi1aEBMTw6OPPsq99x7k4YeN7RVefFHbLIiI6+jduzfTp9fHYqkH7OHSJQtPPeXkp5/MjkxExHX06NGDMWPGAPDhhx/y1ltvkSsXLFliTAvftw+eecYYwRbJjlRYS5JsNhsLFy6katWqXL58mWbNmvHmm2fx84Pt2+HNN8HhMDtKEZHk6d69O3PmvIrVWhdYgMNhoXt3p2bgiIikwNChQxk/fjwAb731Fu+++y7lyhnFtacnrFkDo0ebG6OIWVRYy235+fmxatUqihUrxokTJ+jSpSlDhxptdceMgfbt0RY2IuIyOnbsyDfffInd3hsI5dQpC/XrO/nuO7MjExFxHQMHDuS1114DjEJ70qRJ3H8//FNvM24cHDxoYoAiJlFhLXdUoEAB1qxZQ758+di3bx9LlzZl2LBYrFZjD8OKFWHyZLOjFBFJnscff5z586disTQEVhAXZ6FrVyc//GB2ZCIiruP999/n9ddfB2DAgAF8//339OkD9epBZCR06oS2OJRsR4W13FXJkiX58ccfCQgIYOvWELZte4Qff4yjalUID4d+/f79lVJEJKt74okn+PzzEUB7YDPXr1to1QqGDNESFxGR5Hr33Xfp0qULTqeTTp06sX//X0yfDn5+xt7WrVvD0aNmRymSeVRYS7JUq1aN77//Hi8vL1atWsW0ac/wyy9x9OljHH/tNWjXDq5dMzdOEZHk6N69OxMnjgVaAp8CMHas1gaKiCSXxWLhs88+o1atWly/fp2HHnqInDlPM3s2eHjA+vXQqBGcPWt2pCKZQ4W1JFujRo346quvsNvtfPvtt3Tr1oEJE+IYNAhsNqNxRYMGcPWq2ZGKiNxd//79GTmyP9ALMNYLvv02bNhgalgiIi7D09OTZcuWUaxYMU6ePEnz5s1p1Ogyv/wChQrByZPGtPD4eLMjFcl4KqwlRdq1a8f8+fOx2+0sWrSIZ57pwJgx8SxfDkFBsHu3cWMqIuIKRo4cycsvvwyMBxYRFwePPmp0thURkbsrUKAAq1evTuzH06pVK6pUieDbb42R69Wr4euvzY5SJOOpsJYUe+KJJ1iwYAEeHh4sWrSIXr1e5KGHnHz8sXH8k09g/35zYxQRSQ6LxcKkSZPo0qUL0B3YzLVr0KaNk4ULTQ5ORMRFlCpVipUrV5IjRw5CQkLo1KkT9eo5eeUV4/igQXD+vLkximQ0FdaSKu3atWPWrFlYLBamT5/OsGHD6NDBmAoeHQ1du0JUlNlRiojcncViYcaMGQwZ0htoBvxAVJSFDh2cfPihGpqJiCRHjRo1WLJkCTabjUWLFjFt2jTefBPuuQfOnIEePZRPxb2psJZU69ixI5MmTQKMzpCTJn3AjBng4wMhIVCkiKZTiohrsFqtvPPOOyxY8AW+vs8A84iPt/DKK0bznbAwsyMUEcn6mjRpwsiRIwGjj0Vo6F7mzDF68Xz/vaaEi3tTYS1p8vLLLzNs2DDA2Mfwp58+YeZMyJsXLl6Ep5+G48dNDlJEJJmeeOIJQkJ+pVixEcAQIJxff4VnnlFjRhGR5Bg6dCgNGjQgMjKSdu3aUbbs+cQp4QMHqku4uC8V1pJmb7/9Ni+99BIAffr04eLFj9m9G8qVM4rrp56CmBiTgxQRSabKlSuzffsf1Ku3AXgEiGXZMqhWDU6cMDk4EZEszmaz8fXXXxMcHMyhQ4do3rw5r756jeLFjaK6c2eIizM7SpH0p8Ja0sxisfDRRx8lFtd9+/blm28+ZNEi8PeHrVuNrRaio00OVEQkmXLlysXq1T9Rt2448DAWy0mOHzdGrpXLRETurGDBgvz0008EBQWxa9cu2rdvwcyZkXh4wE8/wejR4HSaHaVI+lJhLekiobju27cvAK+88go//TSJadPAaoVvvoFKlaBuXWjbFtavNzdeEZG78ff356effqJevTCczoeAcDZtgscecxIRYXZ0IiJZW6VKlVi1alVip/DRo9vwzjuxgFFY615Q3I0Ka0k3FouFyZMn069fP8BoWnHmzATmz4ccOeDwYfjtN6N5xUMPwbp15sYrInI3AQEBrF+/nqefrgY8DUSzYoWFevUchIaaG5uISFZXu3Ztli5dire3N2vXrmXTpqdo185JfDz07g2RkWZHKJJ+VFhLurJYLEycOJEBAwYA8Oqrr3LixDj++gvef9/4d//9EBtrNDZTAwsRyeq8vb2ZN28eY8bUA1oDl9i920rjxiquRUTuplGjRixcuBAPDw+WLFlM2bIfEBQEBw5Az54QH292hCLpQ4W1pDuLxcL48eN59dVXARg0aBDz5r3PwIHw8svGiHWpUnD+PPTrpzU2IpL1WSwWhg4dynff9cbTswFwnNBQKw0bxvPnn2ZHJyKStbVq1YoPPvgAgPHjX+fFF7djscCcOfDss3DjhskBiqQDFdaSISwWC++//z6DBg0C4PXXX6dfv5fZtm0zFssVZswAi8VYe71li8nBiogkU7t27Viz5jNy5HgECOXECRvVqzsZPlw/EoqI3Env3r154okniIuLY/LkBxgw4AQWi7G3defO4HCYHaFI2qiwlgxjsVgYO3Ysr7/+OgAfffQR9913H0WKFOGXX0bz2GPGXej48WZGKSKSMg0aNGDjxjnkzfsEsAyHw8Lo0fDRR2ZHJiKSdVksFubMmcP9999PeHg4333XiOnTw7BaYfFimD3b7AhF0kaFtWSohOJ6/vz5lClThqCgIMLDwxk+fDh+fh8DsGwZ/PWXyYGKiKRAlSpV+O23bylRYgDwLgD9+jl57z2NuoiI3I6XlxffffcdBQsW5NixYyxe/DT9+hkDLX37ws6d5sYnkhYqrCVTPP300+zbt48TJ07w7rvGTeiXX75MxYp/ExcHr7yiaZQi4lqKFStGSMhmqlVbCHyC02lh8GCjQeMvv5gdnYhI1pQ3b14WLVqEh4cHy5cvJyhoHPXqQVgYPP44XLxodoQiqaPCWjKNzWbDz8+PwYMHJ3YNP3bsEWw2J6tXw2uvqTOkiLiWvHnz8ssvP9O48XfAQCCKLVvgwQed/PST2dGJiGRN9erVY9y4cQCMHDmUfv1+JTgYjhyBZ54xdo8RcTUqrMUUY8eOpXLlykRE/EG9eisAmDABGjeG06dNDk5EJAVy5MjBqlUr6d07GoulPLCS2FgLTzzh5OefzY5ORCRrevnll3n88ceJj4+nR4/WjBlzAE9PWL0ahg7VTEZxPSqsxRQeHh6MHDkSgD17nuW99yLw9oZff4W2bSEy0tz4RERSwtPTk08++ZgVK6bg798F2ML16xYeftjJb7+ZHZ2ISNZjsVj48ssvqVOnDtevX2fw4AcYNuwcYDS2/eorkwMUSSEV1mKatm3bUrp0aa5du8aff/bg558hRw744w948UX9Uikirqdly5YsWTIfm60lsJ7ISAuPPeZg/Hjt0yoi8v98fX1ZuXIl5cqV4/z58yxc2Izu3Y11gS+8ABs3mhygSAqosBbT2Gw2pk+fjsViYd68eezc+Rlffmnsbz17Nrz3ntkRioikXNOmTVmwYCY+Pp2Bk5w6ZeW116BSJd0kioj8v6CgIFavXk1gYCC7d++mWLEJNGgAERHQrh3s3Wt2hCLJo8JaTPXAAw8wZMgQAHr37k18/EKGDzeODRkC/ftDdLSJAYqIpEL79u1Zv/5bAgKaA0OwWE5x4gQ0awZLlpgdnYhI1lK4cOHEXWPefns4gwZtokIFo0N4q1Zw/rzJAYokgwprMd3o0aPp1KkTDoeDjh07Urv2CgYONI5NmgRlysDHH2tvWBFxLXXr1mXLlkVUrboKp7MisIqoKOjY0UlIiNnRiYhkLT179qR169bExMTQtWtbpk4NpVAhOH7cWCKo+0DJ6lRYi+ksFgszZsxITKbt2rWlatU5fP45BAbCiRPQty8895y2XxAR11KhQgW2bg3hueceBR4B1hERYXQMv3DB7OhERLIOq9XKV199ReXKlbl48SIvvvgwn38egdUKixcbMxlVXEtWpsJasgS73c6iRYto3749cXFxdOrUidDQN9izJ5ZBg8BqhfnzoWNHFdci4lq8vLz48ssvGTv2bSyWJ4BjnDpl4dln44mPNzs6EZGsw9/fn+XLl5M3b17++usvPvvsGd5800iU779vDLKEh5scpMhtqLCWLMPT05Nvv/2WHj16ADBmzBgef7wBAwde5IsvwGaDb7+FLl3QzaiIuBSLxcLrr7/O4sUz8fDoCETz0082+vWL14+FIiL/UbRoURYsWIDdbuf7779n7dqmjBgRnTjI0qCBMT1cJKtRYS1ZitVq5dNPP2XWrFnkyJGDrVu3Ur9+PerXP8KMGUZxPX8+dO0KcXFmRysikjKPPvooS5eOwG5/FYCPP7bRuHEcYWEmByYikoU0atSI+fPn4+vry4YNG9i27THmzo0jIAB27ICHHoKzZ82OUuRmKqwly7FYLHTp0oVff/2VggULcuTIEe6//34aNTrOp58a08LnzDGmhUdGmh2tiEjKtGjRgu+/b4nd3hMIY9MmOy1bhuvHQhGR/3jiiSdYvnw5np6erFixggkT6jFixI/ky+fkwAF47DHtHCNZiwprybKqVq3K1q1bKV26NGfPnuXBBx/koYdO8umnxsj1ggVQpQqsXm12pCIiKfPwww/zyy9dCQzsCESycaMfL7xwyOywRESylMaNG/PNN9+QI0cOtm3bxquvtqB8+X74+DjZvBn69QOn0+woRQwpLqydTid//PEH7733Hk8++SS1atWiUqVK3H///fTt25cQ7SEi6ahw4cKsXr2aAgUKcPjwYWrXrk2BAsuYN89J7txw+DA0bw7168Pvv5sdrWR3yo+SEvfeW48///yIAgXGA/DFF6XJn/9bduw4YnJkIulP+VFSq23btuzYsYOePXvi4eHBhg0fUqDAYAA+/dT4p+JasoIUF9YhISF07NiRmTNnsnv3bnLnzk3p0qUJDw/np59+onPnzkyaNCkDQpXs6p577mHz5s2UKlWKc+fO8cgjj/DeezVZsiSUp54CiwW2bIE2bdTMQsyl/CgpVbRoUQ4e7E/JkisBOH/+CWrWjGfs2OUmRyaSvpQfJS1KlizJp59+yooVKwgICODYsfcpWHAOAL17w1tvqbgW86VqxPqee+5h5MiRhISE8OOPP7J48WK2bt1Kz549AZg6dSrr169P92Al+ypevDg7duzgxRdfxNvbmx07dvD44/UYOnQvO3ZAqVJw7hw8/DDaG1ZMo/woqZEjhz8HD7Zk4sRT2O3ncTrLMGTIA5Qu/QvHjsWYHZ5IulB+lPTQrFkzNmzYgI+PD2fOdKF69a2AUVj37w9RUSYHKNlaigvrKlWq8MMPP/DMM88QGBiY+LinpycDBgzggQceAGDBggXpF6UIxt6GU6dOZd++fZQtW5Zz587RuPEDxMT8ztKlkDs37NsHderAqlVmRyvZkfKjpJbVCv37F2bPnpzky3cMCODw4QcoX/4iQ4fGcOKE2RGKpI3yo6SXatWq8f777wMOduyoR+PGxo8xkyfDvffClSvmxifZV4oLa39/f+x2+22P33fffQCEhoamOiiROylevDgbN26katWqXL58maZNm3Lu3M+sXAn580NoqDFyPXSotuSSzKX8KGlVtqwnoaHFGThwExZLKNHRBXn3XU/Kl3fy5ZdmRyeSesqPkp5eeuklhgwZAsAvvzRj4MCDBATAzp3wzDMQG2tufJI9pXtX8Oh/+t57e3un96lFEuXJk4cNGzZw7733cuPGDVq2bMmpU4vZtQuefNJYZ/Puu9CkCZw+bXa0IgblR0kOHx8YN+4+Fiz4G0/PN4CtRERY6N7dwbx5ZkcnkjGUHyUlLBYL77zzDo8//jjx8fF89VVjPvjgOB4exqzFIUO05loy3+1/OkwFp9PJqn/m4NaoUeO2z5s1axazZs1K0bkdDkeaYhP3ExgYyJo1a3j00UdZs2YN7du359VXX2X27Hdp0MDOoEHw669QowbMng0PPWR2xJKdKT9KSlgs8Pjj93LPPd489thjnDz5NvHxHXn2WQgJgXHjQPWHuAvlR0mtzz77jJ07d3L48GEGDarJ88+vZerUqkyYYPTc+fBD+M/KA5EMla6F9YIFC9i3bx8eHh507tz5ts8LCwvj3Llz6XlpyaZ8fX1ZsWIFffv2Zdq0aYwfP56QkBAWLPiW2rUL0LEjHDny79TwkSPhDjPRRDKM8qOkRu3a1dm9ewetWz/Gxo2Xgb58/DHs2GGMyvj7mx2hSNopP0pqBQUF8csvv9C8eXP27NnD1KnVKFx4BqdOdWP2bGOAZdkyqFjR7EglO0i3EmPv3r2MGTMGgH79+lG0aNHbPtff35/8+fOn6PwOh4MLavcsSfD09OSzzz7j/vvvp1evXmzcuJHq1avx9ddfs3VrI3r2hEWLYPRo2LgR5s+H4GCzo5bsRPlR0sKYnbOCtm3bsWrVeuALNm0K4NFHncyaZeEO/+8kkuUpP0paBQcHExISQv/+/fnyyy85dao7xYptJSzsE44ds9OypXH/p1wpGc6ZDk6cOOG87777nGXKlHEOGDDA6XA40uO0N7lx44azTJkyzhs3bqT7ucV9/Pnnn87SpUs7AafNZnO+8847zuhoh3PiRKfTy8vpBKezQAGn8+OPnc6oKLOjlcxkVg5RfpT0EhMT43zhhRec0NgJ0U5wOnPmjHdu3mx2ZOIOzMgjyo+S3n777Tdnzpw5nYAzR44yzvz5I53gdNar53RGR5sdnbiq5OaRNDcvu3DhAt26dePChQs0atSIsWPHYrFY0l7xi6RC5cqV+eOPPxKbWQwdOpTHH3+Unj0jWb8eSpSAs2ehTx9o2hTWr1fncMk4yo+Snjw8PJg2bRqzZnXCy6sJsIurV600bx7Lpk1mRyeSMsqPkhFq167Nxo0bqVSpEjduHCQ8vAHe3nGEhMCDDxpdw0UySpoK66tXr9KtWzdOnDhBnTp1mDx5Mh4eHukVm0iqBAQEsGDBAiZNmoSnpyfLli2jefNmFCp0gq1bjbXWvr6waZPRNbxBA+15KOlP+VEySpcuXdi69ROKFesCbCEszIOmTaP44gunuuCKS1B+lIxUsWJFNm3aRM2aNQkL+4PY2I7YbPH8+ivUrg3DhkF8vNlRijtKdWEdHh5Ojx49OHjwIJUrV2bq1KnaIkGyDIvFwiuvvMLKlSvx9/dn06ZNlC1blilTRvHGG9GsWWOMWPv4GB12W7eGqCizoxZ3ofwoGa1q1ars3PkzLVt+BPxKdLQ3XbtaaNkykkuXzI5O5PaUHyUzBAQEsH79eh5++GHi4xcQH1+WYsUOEhcH77wDzZrB9Onw++/alkvST6oK65iYGHr37s2uXbsoXbo006dPx1+tSSULatKkCZs2baJevXpERUUxcuRIKleuyLVrq1i+3OgU6ecHmzdD1arG3tcREWZHLa5M+VEyS2BgICtWzGP06N+xWEYDcfz4ow8VK57ir78izQ5P5BbKj5KZcuTIwbJly+jTpw9whNDQslSu/Ck2m5P16+GFF6BOHWOK+LVrZkcr7iDFhXV8fDz9+/cnJCSEokWLMnPmTHLmzJkBoYmkjypVqrBp0yY+//xz8ubNy5EjR2jZsiV9+77A/fdHM2OGsWfswYPGNPHgYHjsMTh0yOzIxdUoP0pms1gsDBs2gA0bGlOyZDfgIufOFaZiRXjuuYtcvGh2hCIG5Ucxg9Vq5aOPPmLcuHFYrVZ27+5FnjyNadbsIrVrG1uwrlsHHTpo5qKkncXpTNkEiOXLlzNw4EAAihUrRlBQUJLPy5s3Lx9++GHaI/xHWFgYNWvWZNu2bfp1U1Lt8uXLDB48mOnTp+N0OilZsiSjR4+mcOHHWbnSzowZkLBFpq8vTJ0KnTqZG7Okj8zIIcqPYiaHw8GoUUsZMyaYuLi6APj7x/PRRza6dDE3Nsn6MjqPKD+K2X755Reee+45Tpw4gYeHB336vMZ9943k6ac9iY2FRo1gzhwoXNjsSCWrSW4eSfE+1jExMYl/h4aGEhoamuTzChUqlNJTi2S4oKAgpk2bRqtWrXj++ec5cuQITz/9NKVKDef99yfy6qttWL/eWH+zbRt07mzsgd21KzzyCFjT3Edf3Jnyo5jJarXy5ptt6dTpbxo0eIkzZ14kLKwyPXo4KF/eSt26Zkco2Znyo5jtgQce4Pfff+fZZ59l9erVfPDBO/zwwyLeeGMR775bkZ9/hkqVYNQo6N3bGM0WSYkUj1ibRb84Snq7fPkyY8aMYdasWVz5py34888/z6RJk3E6fRk0CD799N+mFp06waxZKq5dlTvnEHd+b5I6589foFmzlvz551tAKzw9Y+nb14PRo0F9oiQp7ppH3PV9Seo5HA7mzJnDwIEDuXTpEhaLhdat3+bgwcEcOGADoGZNGDAAHn8cPD1NDlhMl9w8ohJBsq2goCAmTJjAoUOH6NmzJwDTp0+nevVqHDy4nY8/hjVr4MknjTXYs2cbXSSXLVMHSRHJ2vLly8umTT/TqNFsYCsxMR5MmAAVKkTwzTcOHA6zIxQRMYfVaqVz587s27ePDh064HQ6WbbsDa5fL0Hv3ufx8TFmLXbsaGzP9eefZkcsrkKFtWR7uXPn5tNPP2XFihXky5ePQ4cOUa9ePd5/fyyNGjn48kujW7jFYjS4eOQRKFvWKLRVYItIVuXv78/q1fPo3Plz4CngCseO+dKhg5UyZcL59lvlMBHJvvLly8dXX33FsmXLKFKkCH//fYJly2oxf/4BuneHHDmMorpBA1iwQPlS7k6Ftcg/Hn74Yf78809atGhBbGwsQ4YMoUmTJly6dJrXX4etW+G554ymZocOGeuv27SB/fvNjlxEJGl2u51Zsz7nyy9bcf/9PbHbxwM3OHLEjyefhK5dnfyvvTsPj+nu/z/+nJlsItLctiD2EsROcaNVW0pL7ZRqq7UvX1WlLaW6Kr8uWmpp0XJri1K0lqK1NNbQJmKJXYqgtQcRSWY5vz/OLaWiN0UmM3k9rsuFOefMfD7Xuc7rmvecz/l8Ll92dytFRNynZcuWREdHU7JkSRITE+ncuSp16sxg40aoXh0uXoQnnoC6deGzz8DpdHeLJbtSYS1yjdDQUJYtW8Ynn3xCrly5iIqKolKlSgwZMoQSJU4xfTrEx8P//R/YbLBsGUREmEPEFy5EwytFJNuxWCw888wzrFv3DYcOdaVBg57A+4CL//zHQpkyaXz7re7GiEjOVaRIETZs2EDDhg1JS0ujd+/uTJzYh8WLL9Gzpzm/zpYt0LcvNGmiJVklcyqsRf7CarXyf//3f2zdupUqVaqQlJTEuHHjKFeuHDNnTqVECYOPP4a1a+HBB80vo6tWmWtfR0TAK6/A0aPu7oWIyPUsFgvFixfm55/nMmaMBR+f9sBx/vjDn44doVkzF3v2uLuVIiLuERYWxqpVqxg8eDAAU6dOpWLFogQHv8SiRUcZNAj8/SEqyryTPXGifpCU66mwFrmJSpUq8csvv/DVV18RERFBUlISffr04cEHH2TdurXUq+fkp59g40bo3t0cIr5vH7z3HpQpA88+++ea2CIi2YXFYmHYsKHs2PEuTZoMBj4AHPz0k5WqVZ2MHevQ6BsRyZFsNhvjxo3j+++/p3Tp0ly8eJFx4z6gdesS/PprAz75JJbq1eHyZRg4EPr1g+Rkd7dasgsV1iJ/w8/Pj65duxIXF8c777xDrly52LRpE40bNyY8PJzZs7+gVi07n34KO3fC++9DjRpgt8N//gP16sHy5ZCa6u6eiIhcr0KFCvz00zfMnBlKrlz1gXXY7TaGD/fh8cdP6DlCEcmxWrVqxZ49e5g9ezb169fHZrOxceN6+vevw5NPTmToUPNW9WefQcmSMHIk/PGHe9ss7qfCWuQW+Pr6MmLECHbs2METTzxBcHAwCQkJ9OjRgypVqrBnzw5Kl4bBg2HdOliwAAoXhoQEeOwxCAqC5s1h61Z390RE5E8Wi4Vu3Z5m+/av6NTpUwICXgdc/PBDEUqX/oWtWy+5u4kiIm7h5+dHly5diIqKYteuXbRo0QKHw8FLLw1ky5aHGT78AIULw9mzMHo0lCplTmy7fbu7Wy7uosJa5DaUKVOGuXPnkpCQwOuvv07evHnZu3cv1atXp23btuzatZ3cuaFdO1i/Hjp3hpAQcwbJlSuhQQOYOlWTnIlI9lK2bFnmzv2ahIR+PPDANMDF0aO1+Pe/YcSIbcosEcmxbDYb5cuXZ8mSJbz99tv4+/uzfv16xowJp1q1Drz11iXKlzdHJ86aBdWqmcPENeon51FhLfIP5MuXjzfeeIMdO3bQrFkzXC4X3333HdWqVaN9+/bExcVx//3mcPBDh8zJzRo0gLQ06NMHGjaEGTNUYItI9mGxWChcuBC//NKHd9/dip/fLxhGHt59tzp58pyjTZsrREVpsh4RyZksFgsjR45k+/btdOjQAYvFwvLlC/j88ypMnvwL8+ZB48bmvhMn/nmTRXIOFdYidyAsLIwVK1awZcsWWrZsCcDChQupXr06TZo0ISrqJ/71L4MmTWDFChgyBHx8zKDt3t0cJp6Q4OZOiIj8xfDh/+bgwfKUKbMKSCYlJS/ff5+Lhg2hUqU0Vq50dwtFRNyjXLlyzJ8/nw0bNhAWFsaRI4eJjKzLBx/UoWnTDxk1Kg2AxYvNmyrNm8Mnn+hxwJxAhbXIXVC7dm0WL15MdHQ0rVu3xmq1smbNGh555BHat2/P+fPnyZXLnDF882bo398ssFeuhAoVzF84u3Uz72zrLraIZAfFiuVh796mTJ++nuLF+wJfAKns3u1P8+bQrp3BoUPusYLIZQAALUxJREFUbqWIiHvUq1ePmJgYWrRogdPpZOvWrbz66lDmzKnMJ5/s4fHHzf1WroTnn4c6dcybKvHx7m233DsqrEXuEovFQp06dfjuu++Ij4+nR48e+Pr6smjRIooWLUr//v05dOgADzwAH38Ma9ZAzZqQnm6uiT1rFkRGwn33Qd268Omnej5HRNzLZoMePR7l4MFJzJ+fn8qV2wCTAReLFlmIiDCoWhXGjDGzTEQkJwkNDWXJkiXs2LGD0aNHExoayoEDBxg4MAI/v84sWnSGXr3MohrMxwArVYLWrSEuzq1Nl3tAhbXIPVC+fHmmT5/OqlWrKFeuHCkpKUyZMoVy5crRtGlT5s37mrp1HaxfDz/+CG++Ce3bQ0CAuR5idLS5NmKFCtCli7mMl760ioi7+Pra6NChFbGxSxk16gwWS23gZ9LTLezYAa++Ck2awCVNIi4iOYzFYqFy5cq8+uqrxMTE0KZNGywWCwsWfMNzz5WlevXpLF9uMHcuPPSQeczixebyrO3ba4i4N1FhLXIPNWjQgPj4eL777jsaNWqEYRisXr2ap556ivLly7N58xoiI2HYMPjySzh82BwyNHSouUTXgQMwdy68/LIZxqdOubtHIpKT+fj48Oabo1iy5E2KFXsWiAAGAMls2AAhIQZ168JHH4Hd7t62iohktbCwMBYuXEhUVBQREREkJSXRv38vmjZ9gHPnprBoURqrV8Mjj5gTQS5caN7Nfvhh2LjR3a2XO6XCWuQes9lstG7dmlWrVhEXF8fgwYPJmzcvhw4dokmTJtSoUYPXXx9OUtLvhIaaYTtmDOzaBW+9ZT57nSeP+Yvmww9rhkkRcb8WLVpw8OB+xo3rxb/+NQd4FEjC5bIQHQ0vvmguOTNyJFy54ubGiohkIYvFwkMPPURMTAyjRo0iICCA2NhY+vfvT5UqpYmLG8fYsXv54QeDZs3AaoV168z5dkaPhpQUd/dA/ikV1iJZxGq1UrVqVcaNG8e+ffvo1q0bvr6+bNu2jbFjx1KmTBlee+01kpOT8fGBEiXM4ZWTJ5t3sfPlg717zRkm778fnnkG5s0Dh8PdPRORnMjPz4/BgweTmJjI7Nn9qVWrE1AFGAoks3u3+SWxVSu4eNHNjRURyWIBAQG8+eab7Nq1i1GjRhEaGsqJEycYMmQINWpUYPDgCFq3/oL16500bmw+8jdyJISHm48AHj/u7h7I7VJhLeIG+fPnZ+bMmRw4cIDx48dTtWpVUlJSeOeddyhTpgzvvvsup06dwmaDwEBzMrMtW8wvqD4+5hJdX34JTzxhToCmu9gi4i65c+emS5cuREevYOLEvpQsuRAoCwzAYkll1SqoXdtgwgTzcRcRkZzk/vvv580332T//v2MGTOGWrVq4evry759e+nfvwfPPRdBt27fMHasQcGCZkH98stQpoy5TOu5c+7ugdwqFdYiblSiRAmef/55YmNjmTFjBsWLF+fkyZOMGDGCokWL0rFjR3799VfAvEs9f7551/rTT+Hpp83nsHfsMIeIt2plFtsKYBFxB6vVyoAB/YmP38Xzz3ciV64ZGEYkcJJ9+ywMGgSlSsEzzxi6gy0iOU5wcDDDhg1j48aNHD58mNdee42QkBD2799Pt26dmTOnBpMmRTFypDl5bWoqjBtnFthvvGH+X7I3FdYi2YDVauXZZ59lz549TJw4kWrVqmG32/n222+pU6cOAwYM4NSpU/j5mQV2r14wdSrExECbNuYEGEuWmMPDw8PN4ePJyXDmjPm3iEhWCQwMZPz48ezbt48WLe4DqgIjgU0AfPmlheLFLzFhgoMLF9zZUhGRrOfr60uRIkV466232L9/P0OHDiV37txs3x5Hp06N+P333nz11UGmTTMfCzx/3lw95tFH4cgRd7de/o4Ka5FsJDAwkAEDBhATE8PGjRtp1aoVLpeLyZMnU7JkSV566SXOnDmD1WouzRUebj5nvXatWVQXKwZnz8KAAeaEZwUKQP785i+daWnu7p2I5CTFihVj6dKlnDq1kx9+eJhu3WYSENAKOMKFC3kYNMiHfPmcPPqoi6god7dWRCTrFShQgPfff599+/bRpUsXDMPg88+nUbduRRISRrB5cxrvvQe5csHPP0P58jBwIGzfDi6Xu1svf6XCWiQbslqt1KtXj++//57vv/+eKlWqcOXKFT744AMKFSpElSpV6N27Nzt27MDXFxo2NO9g//orjBgBBQv++V5paeYvnTVqwC+/uK1LIpJDFShQgEcfjWTmzKkcPz6TYcPmkivXG8BBnE4bK1ZYadgQ6tZ1smSJviyKSM4TFhbG7NmzWbZsGQ8++CDp6emMGfMudeqU5bffBvDUUzMpXfoCqakwcaK56kKJEtC9O6xebY5cFPdTYS2SzbVq1YrY2Fi++eYbKlWqhNPpZOfOnUybNo2qVatSvXp13n77bZKSTlKwoLlE17595nJdu3fDBx/AffeZ/65fH1q2hFmz9KyOiGS9vHnzMmbMKxw9+gIvv/w1QUH1gRmAnehoG61aQeXKBk8+ac4bsWyZu1ssIpJ1HnvsMX7++WdmzJhBgQIFSExMZMqUyUyb9hwJCSFUrPga1asn4+sLx47BjBnQtCnkzQtNmsC2be7uQc6mwlrEA9hsNjp16kRcXBx79uxhxowZtGjRAqvVSlxcHKNGjaJs2bK8+eabnDt3hpAQqFjRnPzixRfNZ7EbNQK73fyi2q2beQd782Z390xEcqL8+UP4f//vdQ4fXswrryRQsOCDwHgghd27LcyZY84b0bIltGtn6LlCEckxbDYbzz77LPv37+ezzz6jV69ePPbYY/j5+REf/w5xccF06/Yqn37qom1b8PWFpCRYs8b8bteggVl0S9azGIZnDB5ITk6mZs2axMTEEBQU5O7miLidYRgkJiayYMECPv/8c+Lj4wFz3cS+ffsyevRoAgMDM/ZPT4eoKPj2W/O57KQksNlg8GDzLneuXG7qSBbx5gzx5r5JzpCcnMyIEa/x+eeLuHy5EVD6v386AzYCAtIZMcKH55+3smGDOTFj/frmZI5yd3hrjnhrvyTncLlcuFwu4uLiGDZsGKtXrwYgPDycp5/uQa1abUlOLs2kSTZ+/tkcFn7//dC7Nxlz8nTpAvnyubcfnuxWc0SFtYgXsNvtzJw5kwkTJrBr1y4AihQpQv/+/enbty/5rknTtDQ4ehQGDYLly83XSpQwl++6/36oXh2qVnVHL+4tb84Qb+6b5Cznz59n1aq1xMTEkZBwkKVLj3HlyvtAnRv29fc3lx589tksb6ZX8tYc8dZ+Sc7kcrmYPn06gwcPJiUlJeP1QoUK07p1O0qXfoIPPniQ06ct1x1XsSL8+CMUKZLVLfYOKqxFciCn08nChQt5/vnn+eOPPwDzDnbnzp154YUXqHpNxZyeDv/5Dwwfbs4kfq2aNWHkSKhcGUqXBsv1+cy5c7BihfnrZ2Sk+YtodufNGeLNfZOc7eTJk4wZM44pU5JJT38FKI7VmkT+/C5OncoLwAsvwEsvmXnk7+/W5no0b80Rb+2X5GynTp1i1qxZzJkzhz179nDlypWMbdWqtSQ8fBKnTxfHz8+cuPbcOahVy5xZ/JrBjHKLbjVHPODrsIjcKpvNRseOHTl48CCTJk2iYsWKpKamMnPmTKpVq0aDBg1YsGABly5dws8PevSAHTvgtdfMiYJq1gQfH/OZ7LZtoUwZCA01n9Pevt38jPh48/WuXaF5c3NG8mvyXETkrgkNDeXjj/8fR468zqBBkwkMLIfLVYhTpwpgsYwD4OOPISzMnKTx9dfB4XBvm0VE7rWCBQsydOhQtmzZwrFjx5g5cyadO3fG39+fuLilzJtXgoCA1vTps4olSwyCgswCu2xZGDLE/E6nZVjvPhXWIl4od+7c9O/fn+3bt/Pjjz/SsmVLbDYb69evp0OHDoSEhNCuXTt+/XUrRYqYX0a//hpWrTJnlHziCbOg9vWF06fho4/MpR0efND8+/x584tsQACsX2/e3RYRuVcKFSrIxx+P5ejRTYwY8RIVKpTDMIZgPoNtPv6SlmbOF9GmjZMLF9zaXBGRLOHj40PevHnp1q0bs2fPZufOnXTq1AmLxcLy5Ytp1y6S8eM7M3nyJQID4cQJGDfO/C4XFGT+/eGHKrLvFhXWIl7MZrMRGRnJkiVL2LNnDwMGDCAsLAyXy8WiRYuoU6cOLVu25LffDhIUBCEhUKkSfPmleWf6wAGYMgUeesi8k71xo3k3KHducxK0SZPMzxk/HvbscWtXRSQHyJcvH++88zY7duwgNjaWzp2tFCrUDMgF9AbSWbbMRr58lyhc+DKjRoHT6eZGi4hkAYvFQtmyZZk7dy7R0dE8+eST2Gw25s2bR+/eBWnRojevvfYHNWqYE9Y6HOad66FDoXhxqFvXvMEi/5wKa5EcomzZskycOJGEhASio6Pp0KEDPj4+LFu2jLJly9KoUSPmzp1LWloavr7m84olSkCfPuYkZ9HR0K+fOWR8wgTzV87u3c1lvJxOs7gWEckKPj4+VK9enTlzZvPbb4fYs2cbAwcGkCdPR+AQTmce/vgjN2+/DXny2KlRA558EmbNApfL3a0XEbl3LBYLtWvX5quvvmLp0qWUL1+e1NRU5s+fxrhxZahQ4TlGjJjEkiVnGDECgoPh1Cnze94jj8AHH5gzi8vt0+RlIjnYtm3bGDp0KGvXruVqFFitVipUqMDIkSN54oknsFwzc1l6ujlcyGYDu/0CQUFBrFhho2VLc/tDD5l3s2vWNGcZL1fOHb3KnDdniDf3TeR2pKWlsXHjLkaP/pE1axzAMMD3un06dTKXGXzgAXMkjpi8NUe8tV8it8put7NmzRpGjRrF1q1bM17PnTs3ffr0IyKiEenp9Vm27D6WLTO3FSpkTnY2eLB5AyWn0+RlIvI/Va9enVWrVhEfH88LL7xAaGgoLpeL+Ph4unTpQmRkJD/++CPO/46l9PMDh+M8rVtHEhISQtGiRTGMH6hQwXy/9evN2cJHj4YKFcwvsAcPurGDIpKj+Pv707hxTX76aTixsW144onhWCy1gA7Ax4CLefPMIY8FCxoMG2beqRER8Va+vr40a9aMjRs3MnPmTAYOHEiFChW4fPky48Z9QM+eLXjxxcK0a/cVL75o/uD4xx+wZIm58sujj8LChbqLfSt0x1pEMqSlpfHbb7/x+eefM378eOx2OwCFChWib9++DBw4kMGDBzNr1qyMY3x8fJg//2fOnavPmTNw8SKsXQubNpnb/fygWTNzqFGJEubEaFWqZH3fvDlDvLlvIndqx4545s6dw4oVK9i2LQ/wPNAUyANA7twG3btbePppc7SNJywfeC94a454a79E/inDMEhPT2fWrFksX76c2NhYjhw5AkDLlo/TqFEX8udvzzff+PHDD38e166duSJM27Y3LsPq7bSOtYjckR07dvD++++zZMkSLvx3il0fHx8cDgcWi4WvvvqKuXPnsmTJEkJDQ/n1120UKFAYMCfE2LDBXMbrl19ufO+KFc0lu8aMIeNu973mzRnizX0TuVscDgdHjx5l9uwFjB79NqmpjwKvAlUz9qlY8Swff+xL06bBbmunu3hrjnhrv0TuBpfLRWpqKiNGjGDChAm4/jsJxf3338+4cZOw2Zrx5ZfwzTd/HtOlizkysVQpNzXaDTQUXETuSJUqVfjyyy85duwYU6dOpXz58jgcDnx9fXn55Zfp0KEDs2fPply5cpw8eZJOndqTnn4Jf3/zOetmzSAqChYvNmecHDgQGjQw3zs+Hr7/3pwA7bnn0NI4InLP+fj4ULp0aUaOfIno6PV06mQhMLA+8DiwDEglPj4fkZHBBAae5KGHztC1K7zxBqSmurftIiL3gtVqJTAwkI8++ohNmzbRq1cvChQowKFDh2jdujmff96ekSMPsGiROeIQYM4c86ZI9+7mv7VU1590x1pEbonT6SQuLo4CBQpQsGBBAgICANizZw+1atXi8uXLhIWFMWTIELp37859990HmM/kpKebd7EBdu4072LPnm3OQAnmLJQLF5oF+b3izRnizX0TuVcMw+D8+fPMn/8ty5at4LfffDh48BlSU5vx1wnPIiIuMH58ME2aWLx2CKS35oi39kvkXjAMgzNnzjBixAg+//zzjDvYdevWo06deiQn/5sNGx5l797AjGOKFIFBg8wbKLlyuavl95aGgotIllm3bh1du3bl2LFjgDnT5DPPPMOgQYMol8nU4A4H2O1mMd29u1l4h4SYBXaFCuZ6imFhcPo0FC0KDz9858/zeHOGeHPfRLKCy+XC4XBw+bKT5cvjGD/+J7ZuTQZKAc8A5q9+hQqdoHlzK+3bh/LAAxb27zeHQxYrZr6P3Q6HD5tLepUpY66g4Cm8NUe8tV8i99rWrVsZNmwYUVFRGQX2VVWqjCB37m7s31+Gs2fNL2jVqsGMGebf3kaFtYhkqUuXLvHZZ5/x6aefcujQoYzXmzZtylNPPcUjjzxC4cKFbzhu3jxzOYcTJ27+3hUrmmtnN278z9vnzRnizX0TcQenE9at28iyZT+wZcspNm6si2F0Bfwz3b90afPHvyNH/hydU6CA+RjMkCGeUWB7a454a79EsoLL5eLQoUN8/fXXHDlyhIMHD7Jx48aMJVorVapDyZLvERX1IJcuWbHZoFIl80/VqtCqVfZaevWfUmEtIm7hcDhYtmwZn3zyCWvWrOHaiImIiKBz584MHTqUXNeMF0pKguXLzeW6Tpwwl3k4eRLy5DGX67pyxfxi2quXuVZ2s2aQL9/ttcubM8Sb+ybibi6XiwMHjvDpp8tYvNjOb78VxDAeBEoAJ4ECXDtljc2WjmEYuFxmET58eDLvvpv9r0tvzRFv7ZdIVnM6nbhcLrZv385//vMfZsyYweXLlwGwWksRHPwlSUn1rzsmMBDefx9atDC/0+XN646W3zkV1iLiVi6Xi127djF9+nR+/vlndu3alVFk58+fn8cff5xGjRpRpEgRGjZsiNVqIy3NHEppGOYdI6cTzp2Dl14yJ0G7VpEi5lDL8HBz+HiXLpDJDfEM3pwh3tw3kewkLc1FQsIx5syZTVTUNn7/fTcHDhwD6gKpwH7gBOADDAPewmJJZ/HiK7RseZ8bW/6/eWuOeGu/RNzt8OHDTJs2je+//574+Pj/vlqaGjUGUqlST2Jjg9i168/9fX2hVi347TdzZE9kpDmpbefOcF/2jkcV1iKSfTgcDo4dO8bixYsZO3Ysv//++3Xby5cvz4QJE4iMjMz0eLsdxo2DlSvNoZYJCTfukz8/jB0LTz6Z+eQZ3pwh3tw3kezq6nPZ5jDJOSxbtoykpPOUKVOGhg0f5syZc0yc2ASH4zFstrMMH/47PXqUo0QJ32w5AZq35oi39ksku3A4HOzdu5cPPviAWbNmYRgGBQuG8vLLbxEf34alSwtw9qyFvzymnSE8HBYsMIePZ1cqrEUkW0pNTeXHH39k4cKF7Nu3j927d3Px4kUASpYsSePGjSlRogQhISFUq1aNevXq4ePjg2HApUvmpEDHjsGePeYw8UOHYO3aP4vtvHmhaVPz71y5zMBu1w4CA703Q5SPIu7ncDiw2+1YLBb8/f2xWCxs2LCLhg1dOJ1VMvYLDDxD5cqBPPxwID16mBmVHXhrjnhrv0Syo/Xr19OzZ0/279+f8VpQUDCVKtUiNLQjaWnh5M59iPz5S3LhQgNWrfLjzBkICDDXxh48+M4nq70XVFiLSLZnt9s5e/YsI0aMYNasWTiuzvpzjcKFC9O1a1datGhBvXr18PPzA/4cLm63m+tgv/cefP01nDp14+f4+0OfPsmsWOGdGaJ8FMm+1q3by7PP7ubw4ZoYRlHgz5nMAgIMnn/eQtu25iMt7hwO6a054q39EsmuLl26xFtvvUVUVBS7du3iypUrme6XJ08e+vR5nw0behMdbVbTjz0G/fqZz2RnpwJbhbWIeJRTp06xZs0a1q9fz9mzZzl37hxbt27lwoULGfvkzZuXF154gY4dO1KuXDks16Su02lOgrZsGWzfDsnJ5p+YGNi3D6zWZMqU8c4MUT6KZG/p6QZnzqSyeHEUH320kv37LwNPAQ0y9smVy8m779ro3x/++/thlvLWHPHWfolkd+np6aSkpBAXF8emTZvYtm0b586dI2/evPz6668cPnwYgKZNmxERsZAJE/5cG7tMGahb11xVoXRpc+Izd1JhLSIey+Vy4XK5uHLlCvPmzWPp0qUZBfdVRYsWJTIykscee4xatWpRvHhxLBYLhgFpaWahffWu9jffwCuvJFOwoHdmiPJRxHM4HC7mzp3PsGEvc/x4PaAnUAVzdnHIlSuVwEAnyckBVKsGRYvaaNIEnn4a7uXl7a054q39EvE0DocDh8OBzWbD4XAwZcoUXn31VdLS0vD39+eBBwZgs/Vn8+bS2O1/3jjx9YVOneCVVyAiwj3LF6qwFhGvYRgGKSkpzJo1i6+//pqtW7dit9uv26dkyZI8/vjjtGnThoceeghfX99rjofY2GSefNI7M0T5KOJ5kpOT+eSTiURH/8rRoyfYvr0ehvESEJrp/kWKuHjxRSuRkeaw8Wsi7q61xxtzxFv7JeIN1q1bR69eva57Jjs4uBxVqgzkjz+e5uDB4Ov29/MzZxF/+20oXjzr2qnCWkS8ksvl4vz586xdu5YffviBTZs2cejQoeuezw4ODqZ+/foUKlSIQoUK0bJlSypWrEjt2rW9MkOUjyKey+Vy4XQ6OXo0kXHjprF27WmuXIELF37j/PnimOtl9wCKZRxjszmpUiWFV1/NTaNGVnx9ITj4Zp9wa7w1R7y1XyLewuFwsGnTJr766iu+++47Tp8+nbGtYMEwypTpzqlTPTl48M9KOnduaNYMateGjh3N4eL3kgprEfF6hmFgt9s5f/48K1euZMmSJaxZs4Zz587dsG/BggUJCQnxygxRPop4j/R0B3a7C8NwsnXrLyxYsIBly9Zy5MgjQBugGnDjdV6hgsGYMRaaNTPv6litt/e53poj3tovEW90+fJlli9fzpw5c1ixYgUpKSkZ23x88lC9+gskJQ3nwIE/11W97z545x04d86czLZNG3jwwbs7+ZkKaxHJkVJSUtiwYQMxMTGcPXuW/fv38/PPP3P58mXKlCnjlRmifBTxbg6Hg507dxMXt5fo6F/ZtOkYe/Y8iNPZFih8w/42m0HbthbefhvKl7+1z/DWHPHWfol4M6fTydmzZ9m4cSPr1q1j5cqV7NmzBwBf3wAeeGA4fn6RJCRUJjHxxut6xAjzmey7NemZCmsREcy72snJyXz77beMHTvWKzNE+SiSszidLpKSLvPFF18zf/4itm3bhcMxAugN+Fy3b8WKBvXrmxM7XrgAhQtD+/ZQv/71d7W9NUe8tV8iOYndbic6OpqRI0eybt26a7YEYrO9j59fY4KC0vjXv3Kzf3+ZjK1BQfD44+Zd7NBQc0nWWrWgZMnb+3wV1iIi1/DmDPHmvonI33O5XJw5c4atW2P45Zf9LF26km3bLmIYrwON+GuhfVXp0gbdulkoXtz84unv7505onwU8R4ul4sff/yRH374gfj4eOLj4zl58uR1+1itA/HxGUF6euYTQebODS+9ZK6VXbEi5MqV6W7XUWEtInINb84Qb+6biNwel8vF0aOJTJ48lU8++ZLU1IZARcAJnANqAq2BP9eMDQxMo0mTRPbta+F1OaJ8FPFODoeD9PR0tm/fTmxsLAcPHmT58uXs27fvv3vkBSoQENCHgIAm+PvnJy3Nl6SkPx++zp8fPvsM2rb9+2eybzVHbnNqCxERERHJrqxWKyVLluC990Zz8uQuVq/uyahRTpo2XU9Y2DcEBvbEYikE9Ae+B/aRkuLPsmWF3NxyEZFb5+PjQ2BgIHXr1mXAgAF89NFH7Nixg19//ZXnn3+eEiXyABtJTX2GpKQwTp70J3fu0jRu/B01aqSTJw+cOWM+GtOvH5w4AS7XHbbprvRMRERERLKV4OBgGjduQOPGDXC5XKSnp+NwOLhy5QpRUetZufInEhNnsndvSU6cqOru5oqI3BE/Pz9q1qxJzZo1ee+99zhx4gSbNm3iiy++YOPGjRw/fpjjx9tis9moUKEOdvsY9u1rwGefmXeufXwgPBzatTNnG3/gAXNuCqfz1j5fhbWIiIiIl7NarQQEBAAQFBREhw7t6NChHS6XC7vdSWLiaVq0GOPmVoqI3B3+/v6UKlWKUqVK0aVLF86cOcN3333HJ598wq5du9i1axPwMPAYNtsYnM4qOBywe7f551pWK5Qpk9mn/GW/e9EREREREcn+rFYr/v6+FCoU7O6miIjcE1arlYIFC9K7d2/i4uLYuXMnn376Ke3btyc4eANOZ1UgGCgB9CQoaB2hoTvw9XVQqFAahQvf2i1r3bEWERERERERr2ez2ahUqRKVKlWiV69eJCcns3r1atavX09sbCwbNswkOflzkpPN/f/4wyzMy9zCLWsV1iIiIiIiIpKjWK1WgoODadu2LW3atMHpdHL06FGWLFnCzp07Wbt2LUlJSSQlJd3S+91RYR0VFcWMGTPYvXs36enplCpVinbt2tG1a1esVo0yF5GcS/koIpI55aOIZDcWiwUfHx9Kly7NoEGDMAyD9PR07HY7iYmJtGnT5n++xz9Or6lTp9K7d282b95McHAwxYsXZ+/evbzzzjsMGDAA153OVy4i4qGUjyIimVM+iognsFgs+Pv7ExQURLFixW7pmH9UWG/bto1x48ZhtVr58MMPWbVqFYsXL2bRokXkz5+fNWvWMGPGjH/y1iIiHk35KCKSOeWjiHizf1RYT5kyBcMw6NixIy1btsx4vXz58gwbNgwwf5G02+13p5UiIh5C+Sgikjnlo4h4s9surJOTk9m0aRMAHTp0uGF78+bNCQoKIikpiS1bttx5C0VEPITyUUQkc8pHEfF2t11Y7969G7vdjr+/PxERETds9/X1pXLlygBs3779zlsoIuIhlI8iIplTPoqIt7vtwvrIkSMAFC5cGB+fzCcVv/qA99V9RURyAuWjiEjmlI8i4u1ue7mtCxcuAHDffffddJ/g4GAALl68mOn2GTNm3PbkFE6nEzCHEomI3K6r2WEYxj37DOWjiHiqe52RykcR8VS3mo+3XVinpaUB5pCdm/Hz8wMgNTX1po07efLk7X40AA8//PA/Ok5EBODy5cvkyZPnnry38lFEPN29ykjlo4h4uv+Vj7ddWPv7+wP87YyN6enpAAQEBGS6PSgoiNDQ0Nv6XJfLRceOHZk3bx5nzpyhQIECrFix4rbeQ9yjefPmnD59WufMQ3jr+TIMg8uXL1OwYMF79hnKR7ld3nq9eStvPl/3OiPdnY/du3fn0Ucf9drz5428+XrzVt56zm41H2+7sL46hOfqkJ7MXB3Cc3VIz18999xzPPfcc7f70QAsWLAAAKvVSlBQ0D96D8laVqs142+ds+zPm8/XvbpTfZXyUW6XN19v3sjbz9e9zEh35yN4//nzNjpfnsebz9mt5ONtT15WokQJAH7//XccDkem+yQmJl63r4hITqB8FBHJnPJRRLzdbRfWERER+Pr6kpaWxu7du2/Ybrfb2blzJwBVq1a98xaKiHgI5aOISOaUjyLi7W67sA4KCqJu3boAfPvttzdsX7FiBcnJyYSEhFC7du07b6GIiIdQPoqIZE75KCLe7rYLa4C+fftisViYP38+S5cuzXh97969jB07FoCePXtmzO4oIpJTKB9FRDKnfBQRb/aPCuuaNWsyaNAgXC4XQ4YMoWnTprRq1Yq2bdty5swZGjZsSPfu3e92W0VEsj3lo4hI5pSPIuLNbntW8Kv69etH+fLlmTlzJvHx8Zw5c4bw8HDatWvHU089hc1mu5vtFBHxGMpHEZHMKR9FxFv948IaoFGjRjRq1OhutUVExGsoH0VEMqd8FBFv9I+GgouIiIiIiIiISYW1iIiIiIiIyB1QYS0iIiIiIiJyB1RYi4iIiIiIiNyBO5q8zB2ee+45kpOTCQoKcndT5BbpnHkWnS/PpXPneXTOPIvOl2fT+fMsOl+eJ6efM4thGIa7GyEiIiIiIiLiqTQUXEREREREROQOqLAWERERERERuQMqrEVERERERETugAprERERERERkTvgMbOCR0VFMWPGDHbv3k16ejqlSpWiXbt2dO3aFatVvw/cC4mJiWzevJkdO3awY8cODh48iNPpZNCgQfTv3/9vj922bRtTp05l27ZtpKSkULRoUVq0aEHPnj3x9/e/6XGHDh1i8uTJbNmyhQsXLhAaGkpkZCT9+vUjODj4bnfRqxiGQUxMDKtXryYmJoaEhARSU1MJCQmhevXqdO3alX//+983PV7nzLMpI7OW8tGzKB9zNuVj1lI+ehbl493jEbOCT506lQ8//BCAYsWKERgYyIEDB3C5XDRu3JhJkyYpGO+B0aNHM2vWrBte/1/BuHjxYoYNG4bT6SQ0NJR8+fJx4MAB7HY7lStX5ssvvyRXrlw3HBcdHU2fPn1ITU0lb968FC5cmISEBK5cuUKxYsWYO3cu+fPnv6t99CabN2/m2WefBcBqtVK8eHECAwM5fPgwKSkpAPTr148XXnjhhmN1zjybMjLrKR89i/Ix51I+Zj3lo2dRPt5FRjYXGxtrlCtXzihfvryxZMmSjNf37Nlj1KtXzwgPDzemT5/uxhZ6r0mTJhl9+vQxJk6caERFRRkDBw40wsPDjUmTJt30mMTERKNSpUpGeHi4MW3aNMPlchmGYRjHjh0zmjVrZoSHhxtvvvnmDcddunTJ+Pe//22Eh4cbb7/9tpGenm4YhmGcO3fO6Ny5sxEeHm707t373nTUS2zcuNGIjIw0vv76ayMpKSnj9bS0NOPDDz80wsPDjfDwcGPNmjXXHadz5tmUke6hfPQsysecSfnoHspHz6J8vHuyfWHdq1cvIzw83Hjttddu2LZ48WIjPDzcqF27dsZJkXvnlVde+Z/B+MYbbxjh4eFG9+7db9gWExNjhIeHGxUrVjROnz593bZp06YZ4eHhxqOPPmo4HI7rth0/ftyIiIgwwsPDjV27dt2dznihS5cuGXa7/abbe/bsaYSHhxt9+/a97nWdM8+mjMwelI/Zm/IxZ1I+Zg/Kx+xN+Xj3ZOuxL8nJyWzatAmADh063LC9efPmBAUFkZSUxJYtW7K6efIXhmHw008/AdC+ffsbtteoUYPSpUtjt9tZvXr1dduuHte2bVtsNtt124oUKULdunUBWLly5b1oulcICgrCx+fm0ybUr18fgMOHD2e8pnPm2ZSRnkPXmnspH3Me5aPn0LXmXsrHuydbF9a7d+/Gbrfj7+9PRETEDdt9fX2pXLkyANu3b8/q5slfnDhxgtOnTwNQs2bNTPepUaMGcP35cjgcxMfHX7f9Vo6T25OWlgZAQEBAxms6Z55NGek5dK1lb8pH76N89By61rI35eOty9aF9ZEjRwAoXLjwTX9JKVas2HX7ivtcPQd+fn4ULFgw030yO1/Hjx/Hbrdft/1WjpNbZxgGK1asAK4PMp0zz6aM9By61rIv5aN3Uj56Dl1r2Zfy8fZk68L6woULANx333033efqdOwXL17MkjbJzV09X8HBwVgslkz3yex8XT0Obn6urx537b5y6+bNm8fu3bvx9fWlW7duGa/rnHk2ZaTn0LWWfSkfvZPy0XPoWsu+lI+3J1sX1leHHvj6+t50Hz8/PwBSU1OzpE1yc//0fKWnp2f8+2bHXj3u6mfIrYuPj2f06NEAvPDCCxQvXjxjm86ZZ1NGeg5da9mT8tF7KR89h6617En5ePuydWF9dVHxq0MGMnP1BF077l/c45+er6sX0N8de/W4v1toXm6UmJhInz59SEtLo2XLlvTo0eO67Tpnnk0Z6Tl0rWU/ykfvpnz0HLrWsh/l4z+TrQvrq0ME/m4owNXhBVeHDYj7XD1fFy9exDCMTPfJ7HxdOxTkZuf66nF/N6RLrnf69Gm6d+/O6dOnadiwIWPHjr1huI7OmWdTRnoOXWvZi/LR+ykfPYeutexF+fjPZevCukSJEgD8/vvvOByOTPdJTEy8bl9xn6vnID09nVOnTmW6T2bnKywsLGM4yNXtt3Kc3FxSUhLdu3fn6NGj1K5dm/Hjx2c65EbnzLMpIz2HrrXsQ/mYMygfPYeutexD+XhnsnVhHRERga+vL2lpaezevfuG7Xa7nZ07dwJQtWrVrG6e/EWRIkUoUKAAADExMZnuExsbC1x/vnx8fDKWwri6/VaOk8xdvnyZ3r17s3//fipXrsyUKVNuOsxN58yzKSM9h6617EH5mHMoHz2HrrXsQfl457J1YR0UFJSxSPi33357w/YVK1aQnJxMSEgItWvXzurmyV9YLBaaNm0KwIIFC27YHhsbS0JCAr6+vjRu3Pi6bZGRkQAsWrQIp9N53bYTJ06wefNmAB555JF70XSvkZ6eTv/+/dm+fTtly5Zl+vTpBAUF3XR/nTPPpoz0HLrW3E/5mLMoHz2HrjX3Uz7eHdm6sAbo27cvFouF+fPns3Tp0ozX9+7dy9ixYwHo2bPndQ/Di/v06NEDX19fNmzYwPTp0zOeuzh+/DivvvoqAB06dMj4leuqLl268K9//YtDhw4xZsyYjAkNzp8/z5AhQ3A4HDRo0IBKlSplbYc8iNPpZPDgwURHR1O8eHG++OILQkJC/udxOmeeTRnpOXStuY/yMWdSPnoOXWvuo3y8eyzGzZ44z0amTJnCxx9/DJiLhgcGBnLgwAFcLhcNGzZk8uTJ2Gw29zbSC8XExNC/f/+M/6ekpJCenk6uXLmum6nvu+++o3Dhwtf9f/jw4bhcLkJDQ8mXLx8HDhzAbrdTsWJFvvrqKwIDA2/4vM2bN2fMQJg3b14KFy5MQkICV65cISwsjG+++eaGi1P+tHTpUoYMGQJAyZIlyZs3b6b7FShQgAkTJlz3ms6ZZ1NGZj3lo2dRPuZcysesp3z0LMrHu8cjCmuAtWvXMnPmTOLj43E4HJQoUYJ27drx1FNPKRDvkS1btvDMM8/8z/1Wr15N0aJFr3stNjaWqVOnsm3bNlJSUggLC6Nly5b06tXrb6fPP3DgAFOmTCE6OpqLFy8SGhpKZGQk/fr188jZAbPSwoULGT58+P/cLywsjDVr1tzwus6ZZ1NGZi3lo2dRPuZsysespXz0LMrHu8djCmsRERERERGR7CjbP2MtIiIiIiIikp2psBYRERERERG5AyqsRURERERERO6ACmsRERERERGRO6DCWkREREREROQOqLAWERERERERuQMqrEVERERERETugAprERERERERkTugwlpERERERETkDqiwFhEREREREbkDKqxFRERERERE7oAKaxEREREREZE7oMJaRERERERE5A6osBYRERERERG5A/8fXNihBcdY9rYAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# referenced power within CA1\n", + "\n", + "import numpy as np\n", + "import scipy.stats as stats\n", + "import pickle\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# from loaded pickle - all by target\n", + "# arm1: lfp_spect_lists[1]\n", + "# arm2: lfp_spect_lists[2]\n", + "# random: lfp_spect_lists[3]\n", + "\n", + "plt.rcParams['xtick.major.size'] = 10\n", + "plt.rcParams['xtick.major.width'] = 2\n", + "\n", + "# loop through all 6 rats\n", + "fig, axs = plt.subplots(2,3,figsize=(12,10))\n", + "plot_counter = 0\n", + "for filename in ['/stelmo/mcoulter/coulter_all_figures/lfp_spectograms_pippin.pkl',\n", + " '/stelmo/mcoulter/coulter_all_figures/lfp_spectograms_tonks.pkl',\n", + " '/stelmo/mcoulter/coulter_all_figures/lfp_spectograms_ginny.pkl',\n", + " '/stelmo/mcoulter/coulter_all_figures/lfp_spectograms_ron.pkl',\n", + " '/stelmo/mcoulter/coulter_all_figures/lfp_spectograms_molly.pkl',\n", + " '/stelmo/mcoulter/coulter_all_figures/lfp_spectograms_arthur.pkl']:\n", + "\n", + " fileObj = open(filename, 'rb')\n", + " lfp_spect_lists = pickle.load(fileObj)\n", + " fileObj.close()\n", + " plot_counter += 1\n", + "\n", + " # freq for plotting:\n", + " f = np.arange(501)\n", + "\n", + " # arm 1 + 2\n", + " data_test = lfp_spect_lists[1] + lfp_spect_lists[2] \n", + " # Step 1: Log-transform the data\n", + " log_data = np.log(data_test)\n", + " #print('list length',len(log_data))\n", + " # Step 2: Calculate mean and standard error\n", + " mean_log = np.mean(log_data,axis=0)\n", + " se_log = stats.sem(log_data,axis=0)\n", + " mean_log_1_2 = mean_log.copy()\n", + " # Step 3: Compute the 95% confidence interval on the log scale\n", + " # Using Z-value for large samples\n", + " z_value = 1.96 # You might want to use stats.t.ppf for smaller sample sizes\n", + " ci_log_lower_1_2 = mean_log - z_value * se_log\n", + " ci_log_upper_1_2 = mean_log + z_value * se_log\n", + " # Step 4: Transform the confidence interval back to the original scale\n", + " ci_lower_1_2 = np.exp(ci_log_lower_1_2)\n", + " ci_upper_1_2 = np.exp(ci_log_upper_1_2)\n", + "\n", + " # random\n", + " data_test = lfp_spect_lists[3]\n", + " # Step 1: Log-transform the data\n", + " log_data = np.log(data_test)\n", + " # Step 2: Calculate mean and standard error\n", + " mean_log = np.mean(log_data,axis=0)\n", + " se_log = stats.sem(log_data,axis=0)\n", + " mean_log_rand = mean_log.copy()\n", + " # Step 3: Compute the 95% confidence interval on the log scale\n", + " # Using Z-value for large samples\n", + " z_value = 1.96 # You might want to use stats.t.ppf for smaller sample sizes\n", + " ci_log_lower_rand = mean_log - z_value * se_log\n", + " ci_log_upper_rand = mean_log + z_value * se_log\n", + " # Step 4: Transform the confidence interval back to the original scale\n", + " ci_lower_rand = np.exp(ci_log_lower_rand)\n", + " ci_upper_rand = np.exp(ci_log_upper_rand)\n", + "\n", + " if plot_counter == 1:\n", + " axs[0,0].plot(f,mean_log_rand,color='k')\n", + " axs[0,0].fill_between(f, ci_log_lower_rand, ci_log_upper_rand, color='k', alpha=.1)\n", + " axs[0,0].plot(f,mean_log_1_2,color='blue')\n", + " axs[0,0].fill_between(f, ci_log_lower_1_2, ci_log_upper_1_2, color='blue', alpha=.1)\n", + " axs[0,0].set_title('Rat 1')\n", + " axs[0,0].set_xlim(-2,250)\n", + " axs[0,0].set_ylim(0,9)\n", + "\n", + " elif plot_counter == 2:\n", + " axs[0,1].plot(f,mean_log_rand,color='k')\n", + " axs[0,1].fill_between(f, ci_log_lower_rand, ci_log_upper_rand, color='k', alpha=.1)\n", + " axs[0,1].plot(f,mean_log_1_2,color='blue')\n", + " axs[0,1].fill_between(f, ci_log_lower_1_2, ci_log_upper_1_2, color='blue', alpha=.1)\n", + " axs[0,1].set_title('Rat 2')\n", + " axs[0,1].set_xlim(-2,250)\n", + " axs[0,1].set_ylim(0,9)\n", + "\n", + " elif plot_counter == 3:\n", + " axs[0,2].plot(f,mean_log_rand,color='k')\n", + " axs[0,2].fill_between(f, ci_log_lower_rand, ci_log_upper_rand, color='k', alpha=.1)\n", + " axs[0,2].plot(f,mean_log_1_2,color='blue')\n", + " axs[0,2].fill_between(f, ci_log_lower_1_2, ci_log_upper_1_2, color='blue', alpha=.1) \n", + " axs[0,2].set_title('Rat 3')\n", + " axs[0,2].set_xlim(-2,250)\n", + " axs[0,2].set_ylim(0,9)\n", + "\n", + " elif plot_counter == 4:\n", + " axs[1,0].plot(f,mean_log_rand,color='k')\n", + " axs[1,0].fill_between(f, ci_log_lower_rand, ci_log_upper_rand, color='k', alpha=.1)\n", + " axs[1,0].plot(f,mean_log_1_2,color='blue')\n", + " axs[1,0].fill_between(f, ci_log_lower_1_2, ci_log_upper_1_2, color='blue', alpha=.1) \n", + " axs[1,0].set_title('Rat 4')\n", + " axs[1,0].set_xlim(-2,250)\n", + " axs[1,0].set_ylim(0,9)\n", + "\n", + " elif plot_counter == 5:\n", + " axs[1,1].plot(f,mean_log_rand,color='k')\n", + " axs[1,1].fill_between(f, ci_log_lower_rand, ci_log_upper_rand, color='k', alpha=.1)\n", + " axs[1,1].plot(f,mean_log_1_2,color='blue')\n", + " axs[1,1].fill_between(f, ci_log_lower_1_2, ci_log_upper_1_2, color='blue', alpha=.1) \n", + " axs[1,1].set_title('Rat 5')\n", + " axs[1,1].set_xlim(-2,250)\n", + " axs[1,1].set_ylim(0,9)\n", + " \n", + " elif plot_counter == 6:\n", + " axs[1,2].plot(f,mean_log_rand,color='k')\n", + " axs[1,2].fill_between(f, ci_log_lower_rand, ci_log_upper_rand, color='k', alpha=.1)\n", + " axs[1,2].plot(f,mean_log_1_2,color='blue')\n", + " axs[1,2].fill_between(f, ci_log_lower_1_2, ci_log_upper_1_2, color='blue', alpha=.1) \n", + " axs[1,2].set_title('Rat 6')\n", + " axs[1,2].set_xlim(-2,250)\n", + " axs[1,2].set_ylim(0,9)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 220, + "id": "6e007810", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "list length 1071\n", + "list length 16032\n", + "list length 13605\n", + "list length 17164\n", + "list length 15025\n", + "list length 14241\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# unreferenced theta power above CA1\n", + "\n", + "import numpy as np\n", + "import scipy.stats as stats\n", + "import pickle\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# from loaded pickle - all by target\n", + "# arm1: lfp_spect_lists[1]\n", + "# arm2: lfp_spect_lists[2]\n", + "# random: lfp_spect_lists[3]\n", + "\n", + "plt.rcParams['xtick.major.size'] = 10\n", + "plt.rcParams['xtick.major.width'] = 2\n", + "\n", + "# loop through all 6 rats\n", + "fig, axs = plt.subplots(2,3,figsize=(12,10))\n", + "plot_counter = 0\n", + "\n", + "for filename in ['/stelmo/mcoulter/coulter_all_figures/lfp_spectograms_unref_pippin.pkl',\n", + " '/stelmo/mcoulter/coulter_all_figures/lfp_spectograms_unref_tonks.pkl',\n", + " '/stelmo/mcoulter/coulter_all_figures/lfp_spectograms_unref_ginny.pkl',\n", + " '/stelmo/mcoulter/coulter_all_figures/lfp_spectograms_unref_ron.pkl',\n", + " '/stelmo/mcoulter/coulter_all_figures/lfp_spectograms_unref_molly.pkl',\n", + " '/stelmo/mcoulter/coulter_all_figures/lfp_spectograms_unref_arthur.pkl']:\n", + "\n", + " fileObj = open(filename, 'rb')\n", + " lfp_spect_lists = pickle.load(fileObj)\n", + " fileObj.close()\n", + " plot_counter += 1\n", + "\n", + " # freq for plotting:\n", + " f = np.arange(501)\n", + "\n", + " # arm 1 + 2\n", + " data_test = lfp_spect_lists[1] + lfp_spect_lists[2] \n", + " # Step 1: Log-transform the data\n", + " log_data = np.log(data_test)\n", + " print('list length',len(log_data))\n", + " # Step 2: Calculate mean and standard error\n", + " mean_log = np.mean(log_data,axis=0)\n", + " se_log = stats.sem(log_data,axis=0)\n", + " mean_log_1_2 = mean_log.copy()\n", + " # Step 3: Compute the 95% confidence interval on the log scale\n", + " # Using Z-value for large samples\n", + " z_value = 1.96 # You might want to use stats.t.ppf for smaller sample sizes\n", + " ci_log_lower_1_2 = mean_log - z_value * se_log\n", + " ci_log_upper_1_2 = mean_log + z_value * se_log\n", + " # Step 4: Transform the confidence interval back to the original scale\n", + " ci_lower_1_2 = np.exp(ci_log_lower_1_2)\n", + " ci_upper_1_2 = np.exp(ci_log_upper_1_2)\n", + "\n", + " # random\n", + " data_test = lfp_spect_lists[3]\n", + " # Step 1: Log-transform the data\n", + " log_data = np.log(data_test)\n", + " # Step 2: Calculate mean and standard error\n", + " mean_log = np.mean(log_data,axis=0)\n", + " se_log = stats.sem(log_data,axis=0)\n", + " mean_log_rand = mean_log.copy()\n", + " # Step 3: Compute the 95% confidence interval on the log scale\n", + " # Using Z-value for large samples\n", + " z_value = 1.96 # You might want to use stats.t.ppf for smaller sample sizes\n", + " ci_log_lower_rand = mean_log - z_value * se_log\n", + " ci_log_upper_rand = mean_log + z_value * se_log\n", + " # Step 4: Transform the confidence interval back to the original scale\n", + " ci_lower_rand = np.exp(ci_log_lower_rand)\n", + " ci_upper_rand = np.exp(ci_log_upper_rand)\n", + "\n", + " if plot_counter == 1:\n", + " axs[0,0].plot(f,mean_log_rand,color='k')\n", + " axs[0,0].fill_between(f, ci_log_lower_rand, ci_log_upper_rand, color='k', alpha=.1)\n", + " axs[0,0].plot(f,mean_log_1_2,color='blue')\n", + " axs[0,0].fill_between(f, ci_log_lower_1_2, ci_log_upper_1_2, color='blue', alpha=.1)\n", + " axs[0,0].set_title('Rat 1')\n", + " axs[0,0].set_xlim(-2,25)\n", + " axs[0,0].set_ylim(0,9)\n", + "\n", + " elif plot_counter == 2:\n", + " axs[0,1].plot(f,mean_log_rand,color='k')\n", + " axs[0,1].fill_between(f, ci_log_lower_rand, ci_log_upper_rand, color='k', alpha=.1)\n", + " axs[0,1].plot(f,mean_log_1_2,color='blue')\n", + " axs[0,1].fill_between(f, ci_log_lower_1_2, ci_log_upper_1_2, color='blue', alpha=.1)\n", + " axs[0,1].set_title('Rat 2')\n", + " axs[0,1].set_xlim(-2,25)\n", + " axs[0,1].set_ylim(0,9)\n", + "\n", + " elif plot_counter == 3:\n", + " axs[0,2].plot(f,mean_log_rand,color='k')\n", + " axs[0,2].fill_between(f, ci_log_lower_rand, ci_log_upper_rand, color='k', alpha=.1)\n", + " axs[0,2].plot(f,mean_log_1_2,color='blue')\n", + " axs[0,2].fill_between(f, ci_log_lower_1_2, ci_log_upper_1_2, color='blue', alpha=.1) \n", + " axs[0,2].set_title('Rat 3')\n", + " axs[0,2].set_xlim(-2,25)\n", + " axs[0,2].set_ylim(0,9)\n", + "\n", + " elif plot_counter == 4:\n", + " axs[1,0].plot(f,mean_log_rand,color='k')\n", + " axs[1,0].fill_between(f, ci_log_lower_rand, ci_log_upper_rand, color='k', alpha=.1)\n", + " axs[1,0].plot(f,mean_log_1_2,color='blue')\n", + " axs[1,0].fill_between(f, ci_log_lower_1_2, ci_log_upper_1_2, color='blue', alpha=.1) \n", + " axs[1,0].set_title('Rat 4')\n", + " axs[1,0].set_xlim(-2,25)\n", + " axs[1,0].set_ylim(0,9)\n", + "\n", + " elif plot_counter == 5:\n", + " axs[1,1].plot(f,mean_log_rand,color='k')\n", + " axs[1,1].fill_between(f, ci_log_lower_rand, ci_log_upper_rand, color='k', alpha=.1)\n", + " axs[1,1].plot(f,mean_log_1_2,color='blue')\n", + " axs[1,1].fill_between(f, ci_log_lower_1_2, ci_log_upper_1_2, color='blue', alpha=.1) \n", + " axs[1,1].set_title('Rat 5')\n", + " axs[1,1].set_xlim(-2,25)\n", + " axs[1,1].set_ylim(0,9)\n", + " \n", + " elif plot_counter == 6:\n", + " axs[1,2].plot(f,mean_log_rand,color='k')\n", + " axs[1,2].fill_between(f, ci_log_lower_rand, ci_log_upper_rand, color='k', alpha=.1)\n", + " axs[1,2].plot(f,mean_log_1_2,color='blue')\n", + " axs[1,2].fill_between(f, ci_log_lower_1_2, ci_log_upper_1_2, color='blue', alpha=.1) \n", + " axs[1,2].set_title('Rat 6')\n", + " axs[1,2].set_xlim(-2,25)\n", + " axs[1,2].set_ylim(0,9)\n", + "\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3eb41062", + "metadata": {}, + "outputs": [], + "source": [ + "# Figure S7c - MUA activity " + ] + }, + { + "cell_type": "code", + "execution_count": 304, + "id": "7dcbd12f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "pippin 1840\n", + "tonks 18211\n", + "ginny 22150\n", + "ron 21021\n", + "molly 23581\n", + "arthur 23092\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# open pickle file\n", + "#plt.figure(figsize=(9,6))\n", + "matplotlib.rcParams.update({'font.size': 14})\n", + "matplotlib.rc('xtick', labelsize=14) \n", + "matplotlib.rc('ytick', labelsize=14) \n", + "\n", + "fig, axs = plt.subplots(2,3, figsize=(16,8))\n", + "\n", + "for rat_name in ['pippin','tonks','ginny','ron','molly','arthur']:\n", + "\n", + " if rat_name == 'pippin':\n", + " loaded_list = pickle.load( open('/stelmo/mcoulter/coulter_all_figures/arm_end_mua_trace_pippin.pkl', 'rb') )\n", + " elif rat_name == 'tonks':\n", + " loaded_list = pickle.load( open('/stelmo/mcoulter/coulter_all_figures/arm_end_mua_trace_tonks.pkl', 'rb') )\n", + " elif rat_name == 'ginny':\n", + " loaded_list = pickle.load( open('/stelmo/mcoulter/coulter_all_figures/arm_end_mua_trace_ginny.pkl', 'rb') )\n", + " elif rat_name == 'ron':\n", + " loaded_list = pickle.load( open('/stelmo/mcoulter/coulter_all_figures/arm_end_mua_trace_ron.pkl', 'rb') )\n", + " elif rat_name == 'molly':\n", + " loaded_list = pickle.load( open('/stelmo/mcoulter/coulter_all_figures/arm_end_mua_trace_molly.pkl', 'rb') )\n", + " elif rat_name == 'arthur':\n", + " loaded_list = pickle.load( open('/stelmo/mcoulter/coulter_all_figures/arm_end_mua_trace_arthur.pkl', 'rb') )\n", + "\n", + " #len(combined_spect_list[3])\n", + " arm1_array = np.array(loaded_list[1])\n", + " arm2_array = np.array(loaded_list[2])\n", + " both_arms = np.concatenate([arm1_array,arm2_array])\n", + "\n", + " std_error = np.std(both_arms,axis=0)/np.sqrt(len(both_arms))\n", + " std_error_rand = np.std(loaded_list[3],axis=0)/np.sqrt(len(loaded_list[3]))\n", + "\n", + " if rat_name == 'pippin':\n", + " print(rat_name,len(loaded_list[3]))\n", + " axs[0,0].plot(np.mean(both_arms,axis=0)*500*500,'blue',linewidth=1.5)\n", + " axs[0,0].plot(np.mean(both_arms,axis=0)*500*500+2*std_error*500*500,'b--',linewidth=0.75,alpha=0.5)\n", + " axs[0,0].plot(np.mean(both_arms,axis=0)*500*500-2*std_error*500*500,'b--',linewidth=0.75,alpha=0.5)\n", + "\n", + " axs[0,0].plot(np.mean(loaded_list[3],axis=0)*500*500,'black',linewidth=1.5)\n", + " axs[0,0].plot(np.mean(loaded_list[3],axis=0)*500*500+2*std_error_rand*500*500,'k--',linewidth=0.75,alpha=0.5)\n", + " axs[0,0].plot(np.mean(loaded_list[3],axis=0)*500*500-2*std_error_rand*500*500,'k--',linewidth=0.75,alpha=0.5)\n", + " axs[0,0].set_xticks([0,250,500])\n", + " axs[0,0].set_title('Rat 1')\n", + " \n", + " elif rat_name == 'tonks':\n", + " print(rat_name,len(loaded_list[3]))\n", + " axs[0,1].plot(np.mean(both_arms,axis=0)*500*500,'blue',linewidth=1.5)\n", + " axs[0,1].plot(np.mean(both_arms,axis=0)*500*500+2*std_error*500*500,'b--',linewidth=0.75,alpha=0.5)\n", + " axs[0,1].plot(np.mean(both_arms,axis=0)*500*500-2*std_error*500*500,'b--',linewidth=0.75,alpha=0.5)\n", + "\n", + " axs[0,1].plot(np.mean(loaded_list[3],axis=0)*500*500,'black',linewidth=1.5)\n", + " axs[0,1].plot(np.mean(loaded_list[3],axis=0)*500*500+2*std_error_rand*500*500,'k--',linewidth=0.75,alpha=0.5)\n", + " axs[0,1].plot(np.mean(loaded_list[3],axis=0)*500*500-2*std_error_rand*500*500,'k--',linewidth=0.75,alpha=0.5)\n", + " axs[0,1].set_xticks([0,250,500])\n", + " axs[0,1].set_title('Rat 2')\n", + " \n", + " elif rat_name == 'ginny':\n", + " print(rat_name,len(loaded_list[3]))\n", + " axs[0,2].plot(np.mean(both_arms,axis=0)*500*500,'blue',linewidth=1.5)\n", + " axs[0,2].plot(np.mean(both_arms,axis=0)*500*500+2*std_error*500*500,'b--',linewidth=0.75,alpha=0.5)\n", + " axs[0,2].plot(np.mean(both_arms,axis=0)*500*500-2*std_error*500*500,'b--',linewidth=0.75,alpha=0.5)\n", + "\n", + " axs[0,2].plot(np.mean(loaded_list[3],axis=0)*500*500,'black',linewidth=1.5)\n", + " axs[0,2].plot(np.mean(loaded_list[3],axis=0)*500*500+2*std_error_rand*500*500,'k--',linewidth=0.75,alpha=0.5)\n", + " axs[0,2].plot(np.mean(loaded_list[3],axis=0)*500*500-2*std_error_rand*500*500,'k--',linewidth=0.75,alpha=0.5)\n", + " axs[0,2].set_xticks([0,250,500])\n", + " axs[0,2].set_title('Rat 3')\n", + " \n", + " elif rat_name == 'ron':\n", + " print(rat_name,len(loaded_list[3]))\n", + " axs[1,0].plot(np.mean(both_arms,axis=0)*500*500,'blue',linewidth=1.5)\n", + " axs[1,0].plot(np.mean(both_arms,axis=0)*500*500+2*std_error*500*500,'b--',linewidth=0.75,alpha=0.5)\n", + " axs[1,0].plot(np.mean(both_arms,axis=0)*500*500-2*std_error*500*500,'b--',linewidth=0.75,alpha=0.5)\n", + "\n", + " axs[1,0].plot(np.mean(loaded_list[3],axis=0)*500*500,'black',linewidth=1.5)\n", + " axs[1,0].plot(np.mean(loaded_list[3],axis=0)*500*500+2*std_error_rand*500*500,'k--',linewidth=0.75,alpha=0.5)\n", + " axs[1,0].plot(np.mean(loaded_list[3],axis=0)*500*500-2*std_error_rand*500*500,'k--',linewidth=0.75,alpha=0.5)\n", + " axs[1,0].set_xticks([0,250,500])\n", + " axs[1,0].set_title('Rat 4')\n", + " \n", + " elif rat_name == 'molly':\n", + " print(rat_name,len(loaded_list[3]))\n", + " axs[1,1].plot(np.mean(both_arms,axis=0)*500*500,'blue',linewidth=1.5)\n", + " axs[1,1].plot(np.mean(both_arms,axis=0)*500*500+2*std_error*500*500,'b--',linewidth=0.75,alpha=0.5)\n", + " axs[1,1].plot(np.mean(both_arms,axis=0)*500*500-2*std_error*500*500,'b--',linewidth=0.75,alpha=0.5)\n", + "\n", + " axs[1,1].plot(np.mean(loaded_list[3],axis=0)*500*500,'black',linewidth=1.5)\n", + " axs[1,1].plot(np.mean(loaded_list[3],axis=0)*500*500+2*std_error_rand*500*500,'k--',linewidth=0.75,alpha=0.5)\n", + " axs[1,1].plot(np.mean(loaded_list[3],axis=0)*500*500-2*std_error_rand*500*500,'k--',linewidth=0.75,alpha=0.5)\n", + " axs[1,1].set_xticks([0,250,500])\n", + " axs[1,1].set_title('Rat 5')\n", + " \n", + " elif rat_name == 'arthur':\n", + " print(rat_name,len(loaded_list[3]))\n", + " axs[1,2].plot(np.mean(both_arms,axis=0)*500*500,'blue',linewidth=1.5)\n", + " axs[1,2].plot(np.mean(both_arms,axis=0)*500*500+2*std_error*500*500,'b--',linewidth=0.75,alpha=0.5)\n", + " axs[1,2].plot(np.mean(both_arms,axis=0)*500*500-2*std_error*500*500,'b--',linewidth=0.75,alpha=0.5)\n", + "\n", + " axs[1,2].plot(np.mean(loaded_list[3],axis=0)*500*500,'black',linewidth=1.5)\n", + " axs[1,2].plot(np.mean(loaded_list[3],axis=0)*500*500+2*std_error_rand*500*500,'k--',linewidth=0.75,alpha=0.5)\n", + " axs[1,2].plot(np.mean(loaded_list[3],axis=0)*500*500-2*std_error_rand*500*500,'k--',linewidth=0.75,alpha=0.5)\n", + " axs[1,2].set_xticks([0,250,500])\n", + " axs[1,2].set_title('Rat 6')\n", + "\n", + " #plt.title(rat_name)\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5c8ac838", + "metadata": {}, + "outputs": [], + "source": [ + "# Figure S7d - brain state and jump distance" + ] + }, + { + "cell_type": "code", + "execution_count": 312, + "id": "941552ad", + "metadata": {}, + "outputs": [], + "source": [ + "# load file\n", + "\n", + "file_name = '/stelmo/mcoulter/coulter_all_figures/traj_brain_state_dict.pkl'\n", + "file = open(file_name,'rb')\n", + "traj_brain_state_dict = pickle.load(file)\n", + "file.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 424, + "id": "5ea2ccd5", + "metadata": {}, + "outputs": [], + "source": [ + "pippin_jumps = traj_brain_state_dict['1']\n", + "pippin_armbase_brain_state = traj_brain_state_dict['2']\n", + "pippin_medtraj = traj_brain_state_dict['3']\n", + "pippin_longtraj = traj_brain_state_dict['4']\n", + "\n", + "tonks_jumps = traj_brain_state_dict['5']\n", + "tonks_armbase_brain_state = traj_brain_state_dict['6']\n", + "tonks_medtraj = traj_brain_state_dict['7']\n", + "tonks_longtraj = traj_brain_state_dict['8']\n", + "\n", + "ginny_jumps = traj_brain_state_dict['9']\n", + "ginny_armbase_brain_state = traj_brain_state_dict['10']\n", + "ginny_medtraj = traj_brain_state_dict['11']\n", + "ginny_longtraj = traj_brain_state_dict['12']\n", + "\n", + "ron_jumps = traj_brain_state_dict['13']\n", + "ron_armbase_brain_state = traj_brain_state_dict['14']\n", + "ron_medtraj = traj_brain_state_dict['15']\n", + "ron_longtraj = traj_brain_state_dict['16']\n", + "\n", + "molly_jumps = traj_brain_state_dict['17']\n", + "molly_armbase_brain_state = traj_brain_state_dict['18']\n", + "molly_medtraj = traj_brain_state_dict['19']\n", + "molly_longtraj = traj_brain_state_dict['20']\n", + "\n", + "arthur_jumps = traj_brain_state_dict['21']\n", + "arthur_armbase_brain_state = traj_brain_state_dict['22']\n", + "arthur_medtraj = traj_brain_state_dict['23']\n", + "arthur_longtraj = traj_brain_state_dict['24']" + ] + }, + { + "cell_type": "code", + "execution_count": 314, + "id": "5576d28f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# make one chart for each rat\n", + "\n", + "for rat_name in ['ginny','tonks','pippin','ron','molly','arthur']:\n", + " if rat_name == 'ginny':\n", + " jump_bars = np.array([np.count_nonzero(ginny_jumps[0] == 1)/ginny_jumps[0].shape[0],\n", + " np.count_nonzero(ginny_jumps[0] == 2)/ginny_jumps[0].shape[0],\n", + " np.count_nonzero(ginny_jumps[0] == 3)/ginny_jumps[0].shape[0]])\n", + " armbase_bars = np.array([np.count_nonzero(ginny_armbase_brain_state[0] == 1)/ginny_armbase_brain_state[0].shape[0],\n", + " np.count_nonzero(ginny_armbase_brain_state[0] == 2)/ginny_armbase_brain_state[0].shape[0],\n", + " np.count_nonzero(ginny_armbase_brain_state[0] == 3)/ginny_armbase_brain_state[0].shape[0]])\n", + " med_traj_bars = np.array([np.count_nonzero(ginny_medtraj[0] == 1)/ginny_medtraj[0].shape[0],\n", + " np.count_nonzero(ginny_medtraj[0] == 2)/ginny_medtraj[0].shape[0],\n", + " np.count_nonzero(ginny_medtraj[0] == 3)/ginny_medtraj[0].shape[0]])\n", + " long_traj_bars = np.array([np.count_nonzero(ginny_longtraj[0] == 1)/ginny_longtraj[0].shape[0],\n", + " np.count_nonzero(ginny_longtraj[0] == 2)/ginny_longtraj[0].shape[0],\n", + " np.count_nonzero(ginny_longtraj[0] == 3)/ginny_longtraj[0].shape[0]])\n", + "\n", + " elif rat_name == 'tonks':\n", + " jump_bars = np.array([np.count_nonzero(tonks_jumps[0] == 1)/tonks_jumps[0].shape[0],\n", + " np.count_nonzero(tonks_jumps[0] == 2)/tonks_jumps[0].shape[0],\n", + " np.count_nonzero(tonks_jumps[0] == 3)/tonks_jumps[0].shape[0]])\n", + " armbase_bars = np.array([np.count_nonzero(tonks_armbase_brain_state[0] == 1)/tonks_armbase_brain_state[0].shape[0],\n", + " np.count_nonzero(tonks_armbase_brain_state[0] == 2)/tonks_armbase_brain_state[0].shape[0],\n", + " np.count_nonzero(tonks_armbase_brain_state[0] == 3)/tonks_armbase_brain_state[0].shape[0]])\n", + " med_traj_bars = np.array([np.count_nonzero(tonks_medtraj[0] == 1)/tonks_medtraj[0].shape[0],\n", + " np.count_nonzero(tonks_medtraj[0] == 2)/tonks_medtraj[0].shape[0],\n", + " np.count_nonzero(tonks_medtraj[0] == 3)/tonks_medtraj[0].shape[0]])\n", + " long_traj_bars = np.array([np.count_nonzero(tonks_longtraj[0] == 1)/tonks_longtraj[0].shape[0],\n", + " np.count_nonzero(tonks_longtraj[0] == 2)/tonks_longtraj[0].shape[0],\n", + " np.count_nonzero(tonks_longtraj[0] == 3)/tonks_longtraj[0].shape[0]])\n", + "\n", + " elif rat_name == 'pippin':\n", + " jump_bars = np.array([np.count_nonzero(pippin_jumps[0] == 1)/pippin_jumps[0].shape[0],\n", + " np.count_nonzero(pippin_jumps[0] == 2)/pippin_jumps[0].shape[0],\n", + " np.count_nonzero(pippin_jumps[0] == 3)/pippin_jumps[0].shape[0]])\n", + " armbase_bars = np.array([np.count_nonzero(pippin_armbase_brain_state[0] == 1)/pippin_armbase_brain_state[0].shape[0],\n", + " np.count_nonzero(pippin_armbase_brain_state[0] == 2)/pippin_armbase_brain_state[0].shape[0],\n", + " np.count_nonzero(pippin_armbase_brain_state[0] == 3)/pippin_armbase_brain_state[0].shape[0]])\n", + " med_traj_bars = np.array([np.count_nonzero(pippin_medtraj[0] == 1)/pippin_medtraj[0].shape[0],\n", + " np.count_nonzero(pippin_medtraj[0] == 2)/pippin_medtraj[0].shape[0],\n", + " np.count_nonzero(pippin_medtraj[0] == 3)/pippin_medtraj[0].shape[0]])\n", + " long_traj_bars = np.array([np.count_nonzero(pippin_longtraj[0] == 1)/1,\n", + " np.count_nonzero(pippin_longtraj[0] == 2)/1,\n", + " np.count_nonzero(pippin_longtraj[0] == 3)/1])\n", + "\n", + " elif rat_name == 'ron':\n", + " jump_bars = np.array([np.count_nonzero(ron_jumps[0] == 1)/ron_jumps[0].shape[0],\n", + " np.count_nonzero(ron_jumps[0] == 2)/ron_jumps[0].shape[0],\n", + " np.count_nonzero(ron_jumps[0] == 3)/ron_jumps[0].shape[0]])\n", + " armbase_bars = np.array([np.count_nonzero(ron_armbase_brain_state[0] == 1)/ron_armbase_brain_state[0].shape[0],\n", + " np.count_nonzero(ron_armbase_brain_state[0] == 2)/ron_armbase_brain_state[0].shape[0],\n", + " np.count_nonzero(ron_armbase_brain_state[0] == 3)/ron_armbase_brain_state[0].shape[0]])\n", + " med_traj_bars = np.array([np.count_nonzero(ron_medtraj[0] == 1)/ron_medtraj[0].shape[0],\n", + " np.count_nonzero(ron_medtraj[0] == 2)/ron_medtraj[0].shape[0],\n", + " np.count_nonzero(ron_medtraj[0] == 3)/ron_medtraj[0].shape[0]])\n", + " long_traj_bars = np.array([np.count_nonzero(ron_longtraj[0] == 1)/ron_longtraj[0].shape[0],\n", + " np.count_nonzero(ron_longtraj[0] == 2)/ron_longtraj[0].shape[0],\n", + " np.count_nonzero(ron_longtraj[0] == 3)/ron_longtraj[0].shape[0]])\n", + "\n", + " elif rat_name =='molly':\n", + " jump_bars = np.array([np.count_nonzero(molly_jumps[0] == 1)/molly_jumps[0].shape[0],\n", + " np.count_nonzero(molly_jumps[0] == 2)/molly_jumps[0].shape[0],\n", + " np.count_nonzero(molly_jumps[0] == 3)/molly_jumps[0].shape[0]])\n", + " armbase_bars = np.array([np.count_nonzero(molly_armbase_brain_state[0] == 1)/molly_armbase_brain_state[0].shape[0],\n", + " np.count_nonzero(molly_armbase_brain_state[0] == 2)/molly_armbase_brain_state[0].shape[0],\n", + " np.count_nonzero(molly_armbase_brain_state[0] == 3)/molly_armbase_brain_state[0].shape[0]])\n", + " med_traj_bars = np.array([np.count_nonzero(molly_medtraj[0] == 1)/molly_medtraj[0].shape[0],\n", + " np.count_nonzero(molly_medtraj[0] == 2)/molly_medtraj[0].shape[0],\n", + " np.count_nonzero(molly_medtraj[0] == 3)/molly_medtraj[0].shape[0]])\n", + " long_traj_bars = np.array([np.count_nonzero(molly_longtraj[0] == 1)/molly_longtraj[0].shape[0],\n", + " np.count_nonzero(molly_longtraj[0] == 2)/molly_longtraj[0].shape[0],\n", + " np.count_nonzero(molly_longtraj[0] == 3)/molly_longtraj[0].shape[0]])\n", + "\n", + " elif rat_name == 'arthur':\n", + " jump_bars = np.array([np.count_nonzero(arthur_jumps[0] == 1)/arthur_jumps[0].shape[0],\n", + " np.count_nonzero(arthur_jumps[0] == 2)/arthur_jumps[0].shape[0],\n", + " np.count_nonzero(arthur_jumps[0] == 3)/arthur_jumps[0].shape[0]])\n", + " armbase_bars = np.array([np.count_nonzero(arthur_armbase_brain_state[0] == 1)/arthur_armbase_brain_state[0].shape[0],\n", + " np.count_nonzero(arthur_armbase_brain_state[0] == 2)/arthur_armbase_brain_state[0].shape[0],\n", + " np.count_nonzero(arthur_armbase_brain_state[0] == 3)/arthur_armbase_brain_state[0].shape[0]])\n", + " med_traj_bars = np.array([np.count_nonzero(arthur_medtraj[0] == 1)/arthur_medtraj[0].shape[0],\n", + " np.count_nonzero(arthur_medtraj[0] == 2)/arthur_medtraj[0].shape[0],\n", + " np.count_nonzero(arthur_medtraj[0] == 3)/arthur_medtraj[0].shape[0]])\n", + " long_traj_bars = np.array([np.count_nonzero(arthur_longtraj[0] == 1)/arthur_longtraj[0].shape[0],\n", + " np.count_nonzero(arthur_longtraj[0] == 2)/arthur_longtraj[0].shape[0],\n", + " np.count_nonzero(arthur_longtraj[0] == 3)/arthur_longtraj[0].shape[0]])\n", + "\n", + " all_summary_mvt = [jump_bars[0],armbase_bars[0],med_traj_bars[0],long_traj_bars[0]]\n", + " all_summary_still = [jump_bars[1],armbase_bars[1],med_traj_bars[1],long_traj_bars[1]]\n", + " all_summary_rip = [jump_bars[2],armbase_bars[2],med_traj_bars[2],long_traj_bars[2]]\n", + "\n", + " #if rat_name == 'pippin':\n", + " # #pippin\n", + " # all_summary_mvt = [jump_bars[0],0]\n", + " # all_summary_still = [jump_bars[1],0]\n", + " # all_summary_rip = [jump_bars[2],0]\n", + " #else:\n", + " # just plot jump and med_traj\n", + " all_summary_mvt = [jump_bars[0],med_traj_bars[0]]\n", + " all_summary_still = [jump_bars[1],med_traj_bars[1]]\n", + " all_summary_rip = [jump_bars[2],med_traj_bars[2]]\n", + "\n", + " plt.rcParams['ytick.major.size'] = 10\n", + " plt.rcParams['xtick.major.size'] = 0\n", + " plt.rcParams['ytick.major.width'] = 1\n", + " plt.rcParams['xtick.major.width'] = 1\n", + "\n", + " # yellow: mvt, silver = still, grey = ripple\n", + " num_bars = 2\n", + " fig, ax = plt.subplots(figsize=(4,4))\n", + " #theta - remove\n", + " #ax.bar(np.arange(num_bars), np.array(all_summary_theta), color = \"goldenrod\")\n", + " # jump\n", + " ax.bar(np.arange(num_bars), np.array(all_summary_mvt), color = \"darkgreen\",)\n", + " # short seq\n", + " ax.bar(np.arange(num_bars), np.array(all_summary_still), color = \"silver\",\n", + " bottom = np.array(all_summary_mvt))\n", + " ## long seq\n", + " #ax.bar(np.arange(num_bars), np.array(all_summary_rip), color = \"grey\",\n", + " # bottom = (np.array(all_summary_jump)+np.array(all_summary_short_seq)\n", + " # -np.array(all_summary_long_seq)-np.array(all_summary_full_seq)))\n", + "\n", + " # home seq\n", + " ax.bar(np.arange(num_bars), np.array(all_summary_rip), color = \"grey\",\n", + " bottom = 1-np.array(all_summary_rip))\n", + "\n", + " ax.spines['top'].set_linewidth(1)\n", + " ax.spines['right'].set_linewidth(1)\n", + " ax.spines['bottom'].set_linewidth(1)\n", + " ax.spines['left'].set_linewidth(1)\n", + "\n", + " plt.title(rat_name+' trajectory and ripple')\n", + " #plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "63d70256", + "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": "3.9.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}