From e256674d37b8d7ce5506d049338a297883ee73f0 Mon Sep 17 00:00:00 2001 From: baulch-m Date: Sun, 26 Oct 2025 12:39:49 +1000 Subject: [PATCH 01/27] First commit with readme and required python files --- README.md | 21 +++++---------------- dataset.py | 0 modules.py | 0 predict.py | 0 train.py | 0 5 files changed, 5 insertions(+), 16 deletions(-) create mode 100644 dataset.py create mode 100644 modules.py create mode 100644 predict.py create mode 100644 train.py diff --git a/README.md b/README.md index 272bba4fa..8524590fa 100644 --- a/README.md +++ b/README.md @@ -1,20 +1,9 @@ -# Pattern Analysis -Pattern Analysis of various datasets by COMP3710 students in 2025 at the University of Queensland. +# Task: Segment the 2D OASIS brain data set with an Improved UNet -We create pattern recognition and image processing library for Tensorflow (TF), PyTorch or JAX. +## Overview -This library is created and maintained by The University of Queensland [COMP3710](https://my.uq.edu.au/programs-courses/course.html?course_code=comp3710) students. +## Dataset -The library includes the following implemented in Tensorflow: -* fractals -* recognition problems - -In the recognition folder, you will find many recognition problems solved including: -* segmentation -* classification -* graph neural networks -* StyleGAN -* Stable diffusion -* transformers -etc. +## Results +## Hardware + Runtime \ No newline at end of file diff --git a/dataset.py b/dataset.py new file mode 100644 index 000000000..e69de29bb diff --git a/modules.py b/modules.py new file mode 100644 index 000000000..e69de29bb diff --git a/predict.py b/predict.py new file mode 100644 index 000000000..e69de29bb diff --git a/train.py b/train.py new file mode 100644 index 000000000..e69de29bb From 4662353d61e0e76493aeddc600e23d17f3f135d1 Mon Sep 17 00:00:00 2001 From: baulch-m Date: Sun, 26 Oct 2025 15:52:58 +1000 Subject: [PATCH 02/27] added a working data loader for the OASIS dataset --- dataset.py | 74 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 74 insertions(+) diff --git a/dataset.py b/dataset.py index e69de29bb..ecdfc36fc 100644 --- a/dataset.py +++ b/dataset.py @@ -0,0 +1,74 @@ +import os +import glob +from typing import Tuple +import torch +from torch.utils.data import Dataset, DataLoader +from PIL import Image +import torchvision.transforms.functional as F +from torchvision.transforms import InterpolationMode + +IMAGE_DIMENSIONS = (128, 128) + +class OasisDataset(Dataset): + def __init__(self, image_folder: str, mask_folder: str, transform=None): + self.image_paths = sorted(glob.glob(os.path.join(image_folder, "*.png"))) + self.mask_paths = sorted(glob.glob(os.path.join(mask_folder, "*.png"))) + self.transform = transform + + if len(self.image_paths) != len(self.mask_paths): + raise ValueError("Number of images and masks must be the same") + + def __len__(self) -> int: + return len(self.image_paths) + + def __getitem__(self, idx: int) -> Tuple[torch.Tensor, torch.Tensor]: + image_path = self.image_paths[idx] + mask_path = self.mask_paths[idx] + + image = Image.open(image_path).convert("RGB") + mask = Image.open(mask_path).convert("L") # Convert mask to grayscale + + # Resize images and masks to the defined dimensions + image = F.resize(image, IMAGE_DIMENSIONS, interpolation=InterpolationMode.BILINEAR) + mask = F.resize(mask, IMAGE_DIMENSIONS, interpolation=InterpolationMode.NEAREST) + + # Convert images and masks to tensors + image = F.to_tensor(image) + mask = F.to_tensor(mask) + + # Ensure mask is binary (0 or 1) + mask = (mask > 0).float() + + if self.transform: + image = self.transform(image) + + return image, mask + + +def create_dataloaders(batch_size: int = 8) -> Tuple[DataLoader, DataLoader, DataLoader]: + #TODO: Update base_path to your dataset path in rangpur if needed + base_path = "C:\\Users\\marcu\\OneDrive\\Desktop\\Courses\\COMP3710\\COMP3710-Report\\keras_png_slices_data" + train_img_folder = os.path.join(base_path, "keras_png_slices_train") + train_mask_folder = os.path.join(base_path, "keras_png_slices_seg_train") + val_img_folder = os.path.join(base_path, "keras_png_slices_validate") + val_mask_folder = os.path.join(base_path, "keras_png_slices_seg_validate") + test_img_folder = os.path.join(base_path, "keras_png_slices_test") + test_mask_folder = os.path.join(base_path, "keras_png_slices_seg_test") + + train_dataset = OasisDataset(train_img_folder, train_mask_folder) + val_dataset = OasisDataset(val_img_folder, val_mask_folder) + test_dataset = OasisDataset(test_img_folder, test_mask_folder) + + train_loader = DataLoader(train_dataset, batch_size=batch_size, shuffle=True) + val_loader = DataLoader(val_dataset, batch_size=batch_size, shuffle=False) + test_loader = DataLoader(test_dataset, batch_size=batch_size, shuffle=False) + + return train_loader, val_loader, test_loader + + +if __name__ == "__main__": + train_loader, val_loader, test_loader = create_dataloaders(batch_size=4) + for images, masks in train_loader: + print(f"Image batch dimensions: {images.shape}") + print(f"Mask batch dimensions: {masks.shape}") + break \ No newline at end of file From c4d73396e2ec934e32ae49cf3314f99c03990acc Mon Sep 17 00:00:00 2001 From: baulch-m Date: Sun, 26 Oct 2025 16:23:37 +1000 Subject: [PATCH 03/27] added a rough convolution component for unet model --- modules.py | 64 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 64 insertions(+) diff --git a/modules.py b/modules.py index e69de29bb..49e0d166a 100644 --- a/modules.py +++ b/modules.py @@ -0,0 +1,64 @@ +import torch + +import torch.nn as nn +import torch.nn.functional as F + +class DoubleConv(nn.Module): + """(Conv2D -> BatchNorm -> ReLU) * 2""" + def __init__(self, in_channels, out_channels): + super(DoubleConv, self).__init__() + self.double_conv = nn.Sequential( + nn.Conv2d(in_channels, out_channels, kernel_size=3, padding=1), + nn.BatchNorm2d(out_channels), + nn.ReLU(inplace=True), + nn.Conv2d(out_channels, out_channels, kernel_size=3, padding=1), + nn.BatchNorm2d(out_channels), + nn.ReLU(inplace=True) + ) + + def forward(self, x): + return self.double_conv(x) + +class UNet(nn.Module): + def __init__(self, in_channels, out_channels): + super(UNet, self).__init__() + self.encoder1 = DoubleConv(in_channels, 64) + self.encoder2 = DoubleConv(64, 128) + self.encoder3 = DoubleConv(128, 256) + self.encoder4 = DoubleConv(256, 512) + self.bottleneck = DoubleConv(512, 1024) + + self.upconv4 = nn.ConvTranspose2d(1024, 512, kernel_size=2, stride=2) + self.decoder4 = DoubleConv(1024, 512) + self.upconv3 = nn.ConvTranspose2d(512, 256, kernel_size=2, stride=2) + self.decoder3 = DoubleConv(512, 256) + self.upconv2 = nn.ConvTranspose2d(256, 128, kernel_size=2, stride=2) + self.decoder2 = DoubleConv(256, 128) + self.upconv1 = nn.ConvTranspose2d(128, 64, kernel_size=2, stride=2) + self.decoder1 = DoubleConv(128, 64) + + self.final_conv = nn.Conv2d(64, out_channels, kernel_size=1) + + def forward(self, x): + # Encoder + enc1 = self.encoder1(x) + enc2 = self.encoder2(F.max_pool2d(enc1, kernel_size=2)) + enc3 = self.encoder3(F.max_pool2d(enc2, kernel_size=2)) + enc4 = self.encoder4(F.max_pool2d(enc3, kernel_size=2)) + bottleneck = self.bottleneck(F.max_pool2d(enc4, kernel_size=2)) + + # Decoder + dec4 = self.upconv4(bottleneck) + dec4 = torch.cat((enc4, dec4), dim=1) + dec4 = self.decoder4(dec4) + dec3 = self.upconv3(dec4) + dec3 = torch.cat((enc3, dec3), dim=1) + dec3 = self.decoder3(dec3) + dec2 = self.upconv2(dec3) + dec2 = torch.cat((enc2, dec2), dim=1) + dec2 = self.decoder2(dec2) + dec1 = self.upconv1(dec2) + dec1 = torch.cat((enc1, dec1), dim=1) + dec1 = self.decoder1(dec1) + + return self.final_conv(dec1) \ No newline at end of file From 517f486bbfba44a4f21f86317d734ec24ea7ef56 Mon Sep 17 00:00:00 2001 From: Marcus Baulch Date: Mon, 27 Oct 2025 11:57:06 +1000 Subject: [PATCH 04/27] Updated readme and added gitignore --- .gitignore | 1 + README.md | 9 ++++++++- 2 files changed, 9 insertions(+), 1 deletion(-) create mode 100644 .gitignore diff --git a/.gitignore b/.gitignore new file mode 100644 index 000000000..a5123a1d6 --- /dev/null +++ b/.gitignore @@ -0,0 +1 @@ +keras_png_slices_data/ \ No newline at end of file diff --git a/README.md b/README.md index 8524590fa..e65980c24 100644 --- a/README.md +++ b/README.md @@ -1,8 +1,15 @@ # Task: Segment the 2D OASIS brain data set with an Improved UNet +#### Marcus Baulch 47445464 + ## Overview +This project implements a medical image segmentation pipeline using an improved U-Net architecture to segment brain MRI scans from the OASIS (Open Access Series of Imaging Studies) dataset. The model identifies and delineates brain structures by predicting pixel-wise segmentation masks for 2D brain MRI slices. -## Dataset +## Dataset and Preprocessing +This task makes use of the 2D OASIS brain data set. Both the images and masks were resized from 256x256 pizels to 128x128. They also have been converted for Python Image Library format to tensors and DataLoaders. +The segmentation masks are converted to grayscale. +Images use bilinear interpolation for smooth resizing. +Masks use nearest-neighbour interpolation to preserve discrete label values, and they are also connverted to binary format. ## Results From 4164be24c5633bfee15e8ac08d2c786d4b82724f Mon Sep 17 00:00:00 2001 From: Marcus Baulch Date: Mon, 27 Oct 2025 12:22:05 +1000 Subject: [PATCH 05/27] re-formatted modules.py to include encoding and decoding and added a dice loss class, and added constants to train.py --- modules.py | 72 ++++++++++++++++++++++++++++++++++++++++++++++++++---- train.py | 9 +++++++ 2 files changed, 76 insertions(+), 5 deletions(-) diff --git a/modules.py b/modules.py index 49e0d166a..2ba156751 100644 --- a/modules.py +++ b/modules.py @@ -19,15 +19,50 @@ def __init__(self, in_channels, out_channels): def forward(self, x): return self.double_conv(x) +class DiceLoss(nn.Module): + """ + Dice Loss for binary segmentation tasks. + Measures overlap between predicted and target segmentation masks. + """ + def __init__(self, smooth=1e-6): + super(DiceLoss, self).__init__() + self.smooth = smooth + + def forward(self, predictions, targets): + """ + Calculate Dice Loss. + + Args: + predictions: predicted segmentation mask (B, C, H, W) + targets: ground truth segmentation mask (B, C, H, W) + + Returns: + Dice loss value (1 - Dice coefficient) + """ + # Flatten predictions and targets + predictions = predictions.view(-1) + targets = targets.view(-1) + + # Calculate intersection and union + intersection = (predictions * targets).sum() + dice_coefficient = (2. * intersection + self.smooth) / ( + predictions.sum() + targets.sum() + self.smooth + ) + + # Return Dice loss (1 - Dice coefficient) + return 1 - dice_coefficient + class UNet(nn.Module): def __init__(self, in_channels, out_channels): super(UNet, self).__init__() + # Encoder layers self.encoder1 = DoubleConv(in_channels, 64) self.encoder2 = DoubleConv(64, 128) self.encoder3 = DoubleConv(128, 256) self.encoder4 = DoubleConv(256, 512) self.bottleneck = DoubleConv(512, 1024) + # Decoder layers self.upconv4 = nn.ConvTranspose2d(1024, 512, kernel_size=2, stride=2) self.decoder4 = DoubleConv(1024, 512) self.upconv3 = nn.ConvTranspose2d(512, 256, kernel_size=2, stride=2) @@ -39,26 +74,53 @@ def __init__(self, in_channels, out_channels): self.final_conv = nn.Conv2d(64, out_channels, kernel_size=1) - def forward(self, x): - # Encoder + def encode(self, x): + """ + Encoder path: progressively downsample and increase feature channels. + Returns the bottleneck features and skip connections. + """ + # Encoder with skip connections enc1 = self.encoder1(x) enc2 = self.encoder2(F.max_pool2d(enc1, kernel_size=2)) enc3 = self.encoder3(F.max_pool2d(enc2, kernel_size=2)) enc4 = self.encoder4(F.max_pool2d(enc3, kernel_size=2)) bottleneck = self.bottleneck(F.max_pool2d(enc4, kernel_size=2)) - - # Decoder + + # Return bottleneck and skip connections + return bottleneck, (enc1, enc2, enc3, enc4) + + def decode(self, bottleneck, skip_connections): + """ + Decoder path: progressively upsample and combine with skip connections. + Takes bottleneck features and skip connections from encoder. + """ + enc1, enc2, enc3, enc4 = skip_connections + + # Decoder with skip connections dec4 = self.upconv4(bottleneck) dec4 = torch.cat((enc4, dec4), dim=1) dec4 = self.decoder4(dec4) + dec3 = self.upconv3(dec4) dec3 = torch.cat((enc3, dec3), dim=1) dec3 = self.decoder3(dec3) + dec2 = self.upconv2(dec3) dec2 = torch.cat((enc2, dec2), dim=1) dec2 = self.decoder2(dec2) + dec1 = self.upconv1(dec2) dec1 = torch.cat((enc1, dec1), dim=1) dec1 = self.decoder1(dec1) + + return dec1 - return self.final_conv(dec1) \ No newline at end of file + def forward(self, x): + """ + Forward pass through the complete U-Net architecture. + """ + bottleneck, skip_connections = self.encode(x) + decoded = self.decode(bottleneck, skip_connections) + return self.final_conv(decoded) + + \ No newline at end of file diff --git a/train.py b/train.py index e69de29bb..f1ec3f3c7 100644 --- a/train.py +++ b/train.py @@ -0,0 +1,9 @@ +import os +import torch +import torch.nn as nn + +BATCH_SIZE = 8 +EPOCHS = 10 +LEARNING_RATE = 0.001 +IMAGE_SIZE = (128,128) +DEVICE = 'cuda' if torch.cuda.is_available() else 'cpu' From 328ff5be400f7fd6add05b9ddf94ca7e5323bc71 Mon Sep 17 00:00:00 2001 From: Marcus Baulch Date: Mon, 27 Oct 2025 17:18:33 +1000 Subject: [PATCH 06/27] added a trainer for the unet model --- train.py | 225 +++++++++++++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 220 insertions(+), 5 deletions(-) diff --git a/train.py b/train.py index f1ec3f3c7..0dab347da 100644 --- a/train.py +++ b/train.py @@ -1,9 +1,224 @@ import os import torch import torch.nn as nn +import torch.optim as optim +from pathlib import Path -BATCH_SIZE = 8 -EPOCHS = 10 -LEARNING_RATE = 0.001 -IMAGE_SIZE = (128,128) -DEVICE = 'cuda' if torch.cuda.is_available() else 'cpu' +from modules import UNet, DiceLoss +from dataset import create_dataloaders + + +# Configuration +CONFIG = { + 'batch_size': 8, + 'epochs': 20, + 'learning_rate': 1e-4, + 'image_size': (128, 128), + 'checkpoint_dir': './outputs', + 'device': 'cuda' if torch.cuda.is_available() else 'cpu' +} + + +class ModelTrainer: + """Training manager for U-Net segmentation.""" + + def __init__(self, config: dict): + self.cfg = config + self.device = config['device'] + + # Initialize model + self.model = UNet(in_channels=3, out_channels=1).to(self.device) + + # Loss and optimizer + self.dice_criterion = DiceLoss() + self.bce_criterion = nn.BCEWithLogitsLoss() + self.optimizer = optim.Adam(self.model.parameters(), lr=config['learning_rate']) + + # History tracking + self.history = { + 'train_dice': [], + 'val_dice': [], + 'epochs_completed': 0 + } + + self.best_dice = 0.0 + + # Setup save directory + Path(config['checkpoint_dir']).mkdir(parents=True, exist_ok=True) + + def hybrid_loss(self, logits: torch.Tensor, targets: torch.Tensor) -> torch.Tensor: + """Combination of BCE and Dice loss.""" + probs = torch.sigmoid(logits) + bce = self.bce_criterion(logits, targets) + dice = self.dice_criterion(probs, targets) + return 0.5 * bce + 0.5 * dice + + def compute_dice_metric(self, logits: torch.Tensor, targets: torch.Tensor, threshold: float = 0.5) -> float: + """Calculate Dice score for monitoring.""" + with torch.no_grad(): + probs = torch.sigmoid(logits) + preds = (probs >= threshold).float() + + smooth = 1.0 + intersection = (preds * targets).sum() + union = preds.sum() + targets.sum() + dice = (2.0 * intersection + smooth) / (union + smooth) + + return dice.item() + + def run_training_epoch(self, dataloader) -> float: + """Execute one training epoch.""" + self.model.train() + dice_accumulator = 0.0 + batch_count = 0 + + for batch_num, (imgs, msks) in enumerate(dataloader, start=1): + imgs, msks = imgs.to(self.device), msks.to(self.device) + + # Forward and backward + self.optimizer.zero_grad() + outputs = self.model(imgs) + loss = self.hybrid_loss(outputs, msks) + loss.backward() + self.optimizer.step() + + # Track Dice + dice_score = self.compute_dice_metric(outputs, msks) + dice_accumulator += dice_score + batch_count += 1 + + if batch_num % 10 == 0: + print(f' [Batch {batch_num}/{len(dataloader)}] Dice: {dice_score:.4f}') + + return dice_accumulator / batch_count + + def run_validation_epoch(self, dataloader) -> float: + """Execute one validation epoch.""" + self.model.eval() + dice_accumulator = 0.0 + batch_count = 0 + + with torch.no_grad(): + for imgs, msks in dataloader: + imgs, msks = imgs.to(self.device), msks.to(self.device) + + outputs = self.model(imgs) + dice_score = self.compute_dice_metric(outputs, msks) + dice_accumulator += dice_score + batch_count += 1 + + return dice_accumulator / batch_count + + def save_model(self, filename: str, is_best: bool = False): + """Save model checkpoint.""" + save_path = Path(self.cfg['checkpoint_dir']) / filename + + checkpoint_data = { + 'model_state_dict': self.model.state_dict(), + 'optimizer_state_dict': self.optimizer.state_dict(), + 'history': self.history, + 'best_dice': self.best_dice, + 'config': self.cfg + } + + torch.save(checkpoint_data, save_path) + + if is_best: + best_path = Path(self.cfg['checkpoint_dir']) / 'best_model.pth' + torch.save(checkpoint_data, best_path) + print(f' ✓ Best model saved (Dice: {self.best_dice:.4f})') + + def fit(self, train_loader, val_loader): + """Main training loop.""" + print('\n' + '='*70) + print('BRAIN MRI SEGMENTATION TRAINING') + print('='*70) + print(f'Device: {self.device}') + print(f'Epochs: {self.cfg["epochs"]}') + print(f'Batch Size: {self.cfg["batch_size"]}') + print(f'Learning Rate: {self.cfg["learning_rate"]}') + print('='*70 + '\n') + + for epoch in range(1, self.cfg['epochs'] + 1): + print(f'Epoch {epoch}/{self.cfg["epochs"]}') + print('-' * 50) + + # Train phase + print(' Training...') + train_dice = self.run_training_epoch(train_loader) + + # Validation phase + print(' Validating...') + val_dice = self.run_validation_epoch(val_loader) + + # Update history + self.history['train_dice'].append(train_dice) + self.history['val_dice'].append(val_dice) + self.history['epochs_completed'] = epoch + + # Print epoch summary + print(f'\n Summary:') + print(f' Train Dice: {train_dice:.4f}') + print(f' Val Dice: {val_dice:.4f}') + + # Save best model + is_best = val_dice > self.best_dice + if is_best: + self.best_dice = val_dice + self.save_model('checkpoint_latest.pth', is_best=True) + else: + print(f' Best Dice: {self.best_dice:.4f}') + + print() + + # Training complete + print('='*70) + print('TRAINING COMPLETED') + print('='*70) + print(f'Best Validation Dice: {self.best_dice:.4f}') + print('='*70 + '\n') + + +def evaluate_on_test(trainer: ModelTrainer, test_loader): + """Final evaluation on test set.""" + print('='*70) + print('TEST SET EVALUATION') + print('='*70) + + test_dice = trainer.run_validation_epoch(test_loader) + + print(f'\nTest Set Dice Coefficient: {test_dice:.4f}') + print('='*70 + '\n') + + return test_dice + + +def main(): + """Main execution function.""" + # Load datasets + print('Loading datasets...') + train_loader, val_loader, test_loader = create_dataloaders( + batch_size=CONFIG['batch_size'] + ) + print(f'✓ Data loaded successfully\n') + + # Initialize trainer + trainer = ModelTrainer(CONFIG) + + # Train model + trainer.fit(train_loader, val_loader) + + # Evaluate on test set + test_dice = evaluate_on_test(trainer, test_loader) + + # Final summary + print('FINAL SUMMARY') + print('='*70) + print(f'Best Validation Dice: {trainer.best_dice:.4f}') + print(f'Test Set Dice: {test_dice:.4f}') + print(f'Model saved to: {CONFIG["checkpoint_dir"]}/best_model.pth') + print('='*70) + + +if __name__ == '__main__': + main() From be0b61bca0a667a75f080ae1802bd389126a5fa7 Mon Sep 17 00:00:00 2001 From: Marcus Baulch Date: Thu, 30 Oct 2025 11:03:28 +1000 Subject: [PATCH 07/27] added hipmri study to gitignore --- .gitignore | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.gitignore b/.gitignore index a5123a1d6..ba2c378b4 100644 --- a/.gitignore +++ b/.gitignore @@ -1 +1,2 @@ -keras_png_slices_data/ \ No newline at end of file +keras_png_slices_data/ +HipMRI_Study_open/ \ No newline at end of file From 8bfbe7b812efa0f85b6615c3104509edc460a10c Mon Sep 17 00:00:00 2001 From: Marcus Baulch Date: Thu, 30 Oct 2025 12:03:24 +1000 Subject: [PATCH 08/27] changing task to using 2D UNet for HipMRI Prostate Cancer study - made --- datasets.py | 187 ++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 187 insertions(+) create mode 100644 datasets.py diff --git a/datasets.py b/datasets.py new file mode 100644 index 000000000..3243c3b7d --- /dev/null +++ b/datasets.py @@ -0,0 +1,187 @@ +import numpy as np +import nibabel as nib +from tqdm import tqdm + + +def to_channels(arr: np.ndarray, dtype=np.uint8) -> np.ndarray: + channels = np.unique(arr) + res = np.zeros(arr.shape + (len(channels),), dtype=dtype) + for c in channels: + c = int(c) + res[..., c:c+1][arr == c] = 1 + + return res + + +#load medical image functions +def load_data_2D(imageNames, normImage=False, categorical=False, dtype=np.float32, + getAffines=False, early_stop=False, target_size=None): + ''' + Load medical image data from names, cases list provided into a list for each. + + This function pre-allocates 4D arrays for conv2d to avoid excessive memory + usage. + + normImage: bool (normalise the image 0.0-1.0) + early_stop: Stop loading pre-naturelly, leaves arrays mostly empty, for quick + loading and testing scripts. + target_size: tuple (height, width) to resize all images to this size. + If None, uses the size of the first image. + ''' + from scipy.ndimage import zoom + + affines = [] + + #get fixed size + num = len(imageNames) + first_case = nib.load(imageNames[0]).get_fdata(caching='unchanged') + if len(first_case.shape) == 3: + first_case = first_case[:,:,0] #sometimes extra dims, remove + + # Determine target size + if target_size is not None: + rows, cols = target_size + else: + rows, cols = first_case.shape + + if categorical: + first_case_resized = zoom(first_case, (rows/first_case.shape[0], cols/first_case.shape[1]), order=0) + first_case_resized = to_channels(first_case_resized, dtype=dtype) + channels = first_case_resized.shape[-1] + images = np.zeros((num, rows, cols, channels), dtype=dtype) + else: + images = np.zeros((num, rows, cols), dtype=dtype) + + for i, inName in enumerate(tqdm(imageNames)): + niftiImage = nib.load(inName) + inImage = niftiImage.get_fdata(caching='unchanged') #read disk only + affine = niftiImage.affine + if len(inImage.shape) == 3: + inImage = inImage[:,:,0] #sometimes extra dims in HipMRI_study data + + # Resize image if needed + if inImage.shape != (rows, cols): + zoom_factors = (rows/inImage.shape[0], cols/inImage.shape[1]) + inImage = zoom(inImage, zoom_factors, order=1) # bilinear interpolation + + inImage = inImage.astype(dtype) + if normImage: + #- inImage = inImage / np.linalg.norm(inImage) + #- inImage = 255. * inImage / inImage.max() + inImage = (inImage - inImage.mean()) / inImage.std() + if categorical: + inImage = to_channels(inImage, dtype=dtype) + images[i,:,:,:] = inImage + else: + images[i,:,:] = inImage + + affines.append(affine) + if i > 20 and early_stop: + break + + if getAffines: + return images, affines + else: + return images + + +# HipMRI Study Open Dataset Loader +import os +import glob +from pathlib import Path + + +def load_hipmri_keras_slices(base_dir='./hipmri_study_open/keras_slices_data', + normImage=True, + categorical=False, + target_size=(128, 128)): + """ + Load HipMRI Study Open dataset from pre-split keras_slices_data folders. + + The keras_slices_data directory contains: + - keras_slices_train/ + - keras_slices_test/ + - keras_slices_validate/ + + Args: + base_dir: path to keras_slices_data directory + normImage: whether to normalize images + categorical: whether to convert to categorical/one-hot encoding + target_size: tuple (height, width) to resize all images (default: 128x128) + + Returns: + train_images, val_images, test_images + """ + print("="*70) + print("LOADING HipMRI KERAS SLICES DATASET") + print("="*70) + print(f"Target image size: {target_size}") + + base_path = Path(base_dir) + + if not base_path.exists(): + raise FileNotFoundError(f"Dataset directory not found: {base_path}") + + # Define folder paths + train_dir = base_path / 'keras_slices_train' + val_dir = base_path / 'keras_slices_validate' + test_dir = base_path / 'keras_slices_test' + + # Check if directories exist + for dir_path, name in [(train_dir, 'train'), (val_dir, 'validate'), (test_dir, 'test')]: + if not dir_path.exists(): + raise FileNotFoundError(f"{name} directory not found: {dir_path}") + + # Get file paths from each directory + print("\nScanning directories...") + train_files = sorted(glob.glob(str(train_dir / '**/*.nii*'), recursive=True)) + val_files = sorted(glob.glob(str(val_dir / '**/*.nii*'), recursive=True)) + test_files = sorted(glob.glob(str(test_dir / '**/*.nii*'), recursive=True)) + + print(f" Training files: {len(train_files)}") + print(f" Validation files: {len(val_files)}") + print(f" Test files: {len(test_files)}") + + if len(train_files) == 0: + raise ValueError(f"No NIfTI files found in training directory: {train_dir}") + + # Load training data + print("\nLoading training data...") + train_images = load_data_2D(train_files, normImage=normImage, categorical=categorical, target_size=target_size) + print(f" Training images shape: {train_images.shape}") + + # Load validation data + print("\nLoading validation data...") + val_images = load_data_2D(val_files, normImage=normImage, categorical=categorical, target_size=target_size) + print(f" Validation images shape: {val_images.shape}") + + # Load test data + print("\nLoading test data...") + test_images = load_data_2D(test_files, normImage=normImage, categorical=categorical, target_size=target_size) + print(f" Test images shape: {test_images.shape}") + + print("\n" + "="*70) + print("DATASET LOADED SUCCESSFULLY") + print("="*70) + + return train_images, val_images, test_images + + +# Example usage +if __name__ == "__main__": + # Example: Load HipMRI dataset from keras_slices_data + try: + train_data, val_data, test_data = load_hipmri_keras_slices( + base_dir='./hipmri_study_open/keras_slices_data', + normImage=True, + categorical=False + ) + + print("\nData statistics:") + print(f" Training: min={train_data.min():.3f}, max={train_data.max():.3f}, mean={train_data.mean():.3f}") + print(f" Validation: min={val_data.min():.3f}, max={val_data.max():.3f}, mean={val_data.mean():.3f}") + print(f" Test: min={test_data.min():.3f}, max={test_data.max():.3f}, mean={test_data.mean():.3f}") + + except Exception as e: + print(f"\nError: {e}") + print("\nMake sure the HipMRI dataset is at ./hipmri_study_open/keras_slices_data/") From fc65488986aa55e36d56cdb01536d7f6a212f3ca Mon Sep 17 00:00:00 2001 From: Marcus Baulch Date: Thu, 30 Oct 2025 12:18:24 +1000 Subject: [PATCH 09/27] added segmentation masks to the loader --- datasets.py | 130 +++++++++++++++++++++++++++++++++++++++++++++++++--- 1 file changed, 123 insertions(+), 7 deletions(-) diff --git a/datasets.py b/datasets.py index 3243c3b7d..231ebd61f 100644 --- a/datasets.py +++ b/datasets.py @@ -167,21 +167,137 @@ def load_hipmri_keras_slices(base_dir='./hipmri_study_open/keras_slices_data', return train_images, val_images, test_images +def load_hipmri_with_masks(base_dir='./hipmri_study_open/keras_slices_data', + normImage=True, + target_size=(128, 128)): + """ + Load HipMRI dataset with corresponding segmentation masks. + + Expects directory structure: + - keras_slices_train/ (images) + - keras_slices_seg_train/ (masks) + - keras_slices_validate/ (images) + - keras_slices_seg_validate/ (masks) + - keras_slices_test/ (images) + - keras_slices_seg_test/ (masks) + + Mask files should have '_seg' in the filename or be in separate _seg folders. + + Args: + base_dir: path to keras_slices_data directory + normImage: whether to normalize images (masks are not normalized) + target_size: tuple (height, width) to resize all images/masks + + Returns: + (train_images, train_masks), (val_images, val_masks), (test_images, test_masks) + """ + print("="*70) + print("LOADING HipMRI DATASET WITH SEGMENTATION MASKS") + print("="*70) + print(f"Target image size: {target_size}") + + base_path = Path(base_dir) + + if not base_path.exists(): + raise FileNotFoundError(f"Dataset directory not found: {base_path}") + + # Define folder paths for images + train_img_dir = base_path / 'keras_slices_train' + val_img_dir = base_path / 'keras_slices_validate' + test_img_dir = base_path / 'keras_slices_test' + + # Define folder paths for masks + train_mask_dir = base_path / 'keras_slices_seg_train' + val_mask_dir = base_path / 'keras_slices_seg_validate' + test_mask_dir = base_path / 'keras_slices_seg_test' + + print("\nScanning directories for images and masks...") + + # Get image files + train_img_files = sorted(glob.glob(str(train_img_dir / '**/*.nii*'), recursive=True)) + val_img_files = sorted(glob.glob(str(val_img_dir / '**/*.nii*'), recursive=True)) + test_img_files = sorted(glob.glob(str(test_img_dir / '**/*.nii*'), recursive=True)) + + # Get mask files + train_mask_files = sorted(glob.glob(str(train_mask_dir / '**/*.nii*'), recursive=True)) + val_mask_files = sorted(glob.glob(str(val_mask_dir / '**/*.nii*'), recursive=True)) + test_mask_files = sorted(glob.glob(str(test_mask_dir / '**/*.nii*'), recursive=True)) + + print(f"\nImages found:") + print(f" Training: {len(train_img_files)}") + print(f" Validation: {len(val_img_files)}") + print(f" Test: {len(test_img_files)}") + + print(f"\nMasks found:") + print(f" Training: {len(train_mask_files)}") + print(f" Validation: {len(val_mask_files)}") + print(f" Test: {len(test_mask_files)}") + + # Verify matching counts + if len(train_img_files) != len(train_mask_files): + print(f"Warning: Mismatch in training - {len(train_img_files)} images vs {len(train_mask_files)} masks") + if len(val_img_files) != len(val_mask_files): + print(f"Warning: Mismatch in validation - {len(val_img_files)} images vs {len(val_mask_files)} masks") + if len(test_img_files) != len(test_mask_files): + print(f"Warning: Mismatch in test - {len(test_img_files)} images vs {len(test_mask_files)} masks") + + # Load training data + print("\nLoading training images...") + train_images = load_data_2D(train_img_files, normImage=normImage, categorical=False, target_size=target_size) + print(f" Shape: {train_images.shape}") + + print("Loading training masks...") + train_masks = load_data_2D(train_mask_files, normImage=False, categorical=False, target_size=target_size) + print(f" Shape: {train_masks.shape}") + + # Load validation data + print("\nLoading validation images...") + val_images = load_data_2D(val_img_files, normImage=normImage, categorical=False, target_size=target_size) + print(f" Shape: {val_images.shape}") + + print("Loading validation masks...") + val_masks = load_data_2D(val_mask_files, normImage=False, categorical=False, target_size=target_size) + print(f" Shape: {val_masks.shape}") + + # Load test data + print("\nLoading test images...") + test_images = load_data_2D(test_img_files, normImage=normImage, categorical=False, target_size=target_size) + print(f" Shape: {test_images.shape}") + + print("Loading test masks...") + test_masks = load_data_2D(test_mask_files, normImage=False, categorical=False, target_size=target_size) + print(f" Shape: {test_masks.shape}") + + print("\n" + "="*70) + print("DATASET WITH MASKS LOADED SUCCESSFULLY") + print("="*70) + + return (train_images, train_masks), (val_images, val_masks), (test_images, test_masks) + + # Example usage if __name__ == "__main__": - # Example: Load HipMRI dataset from keras_slices_data + # Load HipMRI dataset with segmentation masks try: - train_data, val_data, test_data = load_hipmri_keras_slices( + (train_imgs, train_masks), (val_imgs, val_masks), (test_imgs, test_masks) = load_hipmri_with_masks( base_dir='./hipmri_study_open/keras_slices_data', normImage=True, - categorical=False + target_size=(128, 128) ) - print("\nData statistics:") - print(f" Training: min={train_data.min():.3f}, max={train_data.max():.3f}, mean={train_data.mean():.3f}") - print(f" Validation: min={val_data.min():.3f}, max={val_data.max():.3f}, mean={val_data.mean():.3f}") - print(f" Test: min={test_data.min():.3f}, max={test_data.max():.3f}, mean={test_data.mean():.3f}") + print("\nImage statistics:") + print(f" Training: min={train_imgs.min():.3f}, max={train_imgs.max():.3f}, mean={train_imgs.mean():.3f}") + print(f" Validation: min={val_imgs.min():.3f}, max={val_imgs.max():.3f}, mean={val_imgs.mean():.3f}") + print(f" Test: min={test_imgs.min():.3f}, max={test_imgs.max():.3f}, mean={test_imgs.mean():.3f}") + + print("\nMask statistics:") + print(f" Training: unique values={np.unique(train_masks)}, shape={train_masks.shape}") + print(f" Validation: unique values={np.unique(val_masks)}, shape={val_masks.shape}") + print(f" Test: unique values={np.unique(test_masks)}, shape={test_masks.shape}") except Exception as e: print(f"\nError: {e}") print("\nMake sure the HipMRI dataset is at ./hipmri_study_open/keras_slices_data/") + import traceback + traceback.print_exc() + From a9edd13556b18482b7ca116c9aad01a1a243b977 Mon Sep 17 00:00:00 2001 From: Marcus Baulch Date: Thu, 30 Oct 2025 12:39:03 +1000 Subject: [PATCH 10/27] converted hipmri data into pytorch dataloaders for compatibility --- datasets.py | 196 +++++++++++++++++++++++++++++----------------------- 1 file changed, 109 insertions(+), 87 deletions(-) diff --git a/datasets.py b/datasets.py index 231ebd61f..d268c5fa7 100644 --- a/datasets.py +++ b/datasets.py @@ -1,6 +1,8 @@ import numpy as np import nibabel as nib from tqdm import tqdm +import torch +from torch.utils.data import Dataset, DataLoader def to_channels(arr: np.ndarray, dtype=np.uint8) -> np.ndarray: @@ -91,82 +93,6 @@ def load_data_2D(imageNames, normImage=False, categorical=False, dtype=np.float3 from pathlib import Path -def load_hipmri_keras_slices(base_dir='./hipmri_study_open/keras_slices_data', - normImage=True, - categorical=False, - target_size=(128, 128)): - """ - Load HipMRI Study Open dataset from pre-split keras_slices_data folders. - - The keras_slices_data directory contains: - - keras_slices_train/ - - keras_slices_test/ - - keras_slices_validate/ - - Args: - base_dir: path to keras_slices_data directory - normImage: whether to normalize images - categorical: whether to convert to categorical/one-hot encoding - target_size: tuple (height, width) to resize all images (default: 128x128) - - Returns: - train_images, val_images, test_images - """ - print("="*70) - print("LOADING HipMRI KERAS SLICES DATASET") - print("="*70) - print(f"Target image size: {target_size}") - - base_path = Path(base_dir) - - if not base_path.exists(): - raise FileNotFoundError(f"Dataset directory not found: {base_path}") - - # Define folder paths - train_dir = base_path / 'keras_slices_train' - val_dir = base_path / 'keras_slices_validate' - test_dir = base_path / 'keras_slices_test' - - # Check if directories exist - for dir_path, name in [(train_dir, 'train'), (val_dir, 'validate'), (test_dir, 'test')]: - if not dir_path.exists(): - raise FileNotFoundError(f"{name} directory not found: {dir_path}") - - # Get file paths from each directory - print("\nScanning directories...") - train_files = sorted(glob.glob(str(train_dir / '**/*.nii*'), recursive=True)) - val_files = sorted(glob.glob(str(val_dir / '**/*.nii*'), recursive=True)) - test_files = sorted(glob.glob(str(test_dir / '**/*.nii*'), recursive=True)) - - print(f" Training files: {len(train_files)}") - print(f" Validation files: {len(val_files)}") - print(f" Test files: {len(test_files)}") - - if len(train_files) == 0: - raise ValueError(f"No NIfTI files found in training directory: {train_dir}") - - # Load training data - print("\nLoading training data...") - train_images = load_data_2D(train_files, normImage=normImage, categorical=categorical, target_size=target_size) - print(f" Training images shape: {train_images.shape}") - - # Load validation data - print("\nLoading validation data...") - val_images = load_data_2D(val_files, normImage=normImage, categorical=categorical, target_size=target_size) - print(f" Validation images shape: {val_images.shape}") - - # Load test data - print("\nLoading test data...") - test_images = load_data_2D(test_files, normImage=normImage, categorical=categorical, target_size=target_size) - print(f" Test images shape: {test_images.shape}") - - print("\n" + "="*70) - print("DATASET LOADED SUCCESSFULLY") - print("="*70) - - return train_images, val_images, test_images - - def load_hipmri_with_masks(base_dir='./hipmri_study_open/keras_slices_data', normImage=True, target_size=(128, 128)): @@ -275,25 +201,121 @@ def load_hipmri_with_masks(base_dir='./hipmri_study_open/keras_slices_data', return (train_images, train_masks), (val_images, val_masks), (test_images, test_masks) +class HipMRIDataset(Dataset): + """PyTorch Dataset for HipMRI images and segmentation masks.""" + + def __init__(self, images, masks): + """ + Args: + images: numpy array of shape (N, H, W) or (N, C, H, W) + masks: numpy array of shape (N, H, W) or (N, C, H, W) + """ + self.images = torch.from_numpy(images).float() + self.masks = torch.from_numpy(masks).float() + + # Ensure 4D tensors (N, C, H, W) + if self.images.dim() == 3: + self.images = self.images.unsqueeze(1) # Add channel dimension + if self.masks.dim() == 3: + self.masks = self.masks.unsqueeze(1) + + def __len__(self): + return len(self.images) + + def __getitem__(self, idx): + return self.images[idx], self.masks[idx] + + +def create_hipmri_dataloaders(base_dir='./hipmri_study_open/keras_slices_data', + normImage=True, + target_size=(128, 128), + batch_size=32, + num_workers=0, + shuffle_train=True): + """ + Load HipMRI data and create PyTorch DataLoaders. + + Args: + base_dir: Base directory containing keras_slices_* folders + normImage: Whether to normalize images (True) or not (False) + target_size: Tuple of (height, width) to resize images to + batch_size: Batch size for DataLoaders + num_workers: Number of worker processes for data loading + shuffle_train: Whether to shuffle training data + + Returns: + train_loader, val_loader, test_loader: PyTorch DataLoaders + """ + # Load the data (returns tuples of (images, masks) for each split) + (train_imgs, train_msks), (val_imgs, val_msks), (test_imgs, test_msks) = load_hipmri_with_masks( + base_dir=base_dir, + normImage=normImage, + target_size=target_size + ) + + # Create datasets + train_dataset = HipMRIDataset(train_imgs, train_msks) + val_dataset = HipMRIDataset(val_imgs, val_msks) + test_dataset = HipMRIDataset(test_imgs, test_msks) + + # Create dataloaders + train_loader = DataLoader( + train_dataset, + batch_size=batch_size, + shuffle=shuffle_train, + num_workers=num_workers, + pin_memory=True + ) + + val_loader = DataLoader( + val_dataset, + batch_size=batch_size, + shuffle=False, + num_workers=num_workers, + pin_memory=True + ) + + test_loader = DataLoader( + test_dataset, + batch_size=batch_size, + shuffle=False, + num_workers=num_workers, + pin_memory=True + ) + + return train_loader, val_loader, test_loader + + # Example usage if __name__ == "__main__": - # Load HipMRI dataset with segmentation masks + print("="*70) + print("Creating HipMRI DataLoaders") + print("="*70) + try: - (train_imgs, train_masks), (val_imgs, val_masks), (test_imgs, test_masks) = load_hipmri_with_masks( + # Create DataLoaders + train_loader, val_loader, test_loader = create_hipmri_dataloaders( base_dir='./hipmri_study_open/keras_slices_data', normImage=True, - target_size=(128, 128) + target_size=(128, 128), + batch_size=16, + num_workers=0, + shuffle_train=True ) - print("\nImage statistics:") - print(f" Training: min={train_imgs.min():.3f}, max={train_imgs.max():.3f}, mean={train_imgs.mean():.3f}") - print(f" Validation: min={val_imgs.min():.3f}, max={val_imgs.max():.3f}, mean={val_imgs.mean():.3f}") - print(f" Test: min={test_imgs.min():.3f}, max={test_imgs.max():.3f}, mean={test_imgs.mean():.3f}") + print("\nDataLoader Information:") + print(f" Training batches: {len(train_loader)}") + print(f" Validation batches: {len(val_loader)}") + print(f" Test batches: {len(test_loader)}") - print("\nMask statistics:") - print(f" Training: unique values={np.unique(train_masks)}, shape={train_masks.shape}") - print(f" Validation: unique values={np.unique(val_masks)}, shape={val_masks.shape}") - print(f" Test: unique values={np.unique(test_masks)}, shape={test_masks.shape}") + # Test a batch + images, masks = next(iter(train_loader)) + print(f"\nBatch shape:") + print(f" Images: {images.shape}") + print(f" Masks: {masks.shape}") + print(f"\nBatch statistics:") + print(f" Images: min={images.min():.3f}, max={images.max():.3f}, mean={images.mean():.3f}") + print(f" Masks: min={masks.min():.3f}, max={masks.max():.3f}, unique={torch.unique(masks).tolist()}") except Exception as e: print(f"\nError: {e}") From 7849a5d2288e4474c397f36bc33277eb218f255c Mon Sep 17 00:00:00 2001 From: Marcus Baulch Date: Thu, 30 Oct 2025 14:38:50 +1000 Subject: [PATCH 11/27] cached loaded datasets and changed train.py to work ith hipmroo dataset instead --- datasets.py | 49 +++++++++++++++++++++++++++++++++++++++++-------- train.py | 11 ++++++----- 2 files changed, 47 insertions(+), 13 deletions(-) diff --git a/datasets.py b/datasets.py index d268c5fa7..52558be88 100644 --- a/datasets.py +++ b/datasets.py @@ -3,6 +3,8 @@ from tqdm import tqdm import torch from torch.utils.data import Dataset, DataLoader +import os +import pickle def to_channels(arr: np.ndarray, dtype=np.uint8) -> np.ndarray: @@ -231,9 +233,11 @@ def create_hipmri_dataloaders(base_dir='./hipmri_study_open/keras_slices_data', target_size=(128, 128), batch_size=32, num_workers=0, - shuffle_train=True): + shuffle_train=True, + cache_file='./hipmri_cache.pkl', + use_cache=True): """ - Load HipMRI data and create PyTorch DataLoaders. + Load HipMRI data and create PyTorch DataLoaders with caching support. Args: base_dir: Base directory containing keras_slices_* folders @@ -242,16 +246,45 @@ def create_hipmri_dataloaders(base_dir='./hipmri_study_open/keras_slices_data', batch_size: Batch size for DataLoaders num_workers: Number of worker processes for data loading shuffle_train: Whether to shuffle training data + cache_file: Path to save/load cached preprocessed data + use_cache: Whether to use cached data if available Returns: train_loader, val_loader, test_loader: PyTorch DataLoaders """ - # Load the data (returns tuples of (images, masks) for each split) - (train_imgs, train_msks), (val_imgs, val_msks), (test_imgs, test_msks) = load_hipmri_with_masks( - base_dir=base_dir, - normImage=normImage, - target_size=target_size - ) + # Try to load from cache + if use_cache and os.path.exists(cache_file): + print(f"Loading cached data from {cache_file}...") + with open(cache_file, 'rb') as f: + cached_data = pickle.load(f) + train_imgs, train_msks = cached_data['train'] + val_imgs, val_msks = cached_data['val'] + test_imgs, test_msks = cached_data['test'] + print("✓ Cached data loaded successfully!") + else: + # Load the data from NIfTI files + print("Loading data from NIfTI files (this may take a while)...") + (train_imgs, train_msks), (val_imgs, val_msks), (test_imgs, test_msks) = load_hipmri_with_masks( + base_dir=base_dir, + normImage=normImage, + target_size=target_size + ) + + # Save to cache for next time + if use_cache: + print(f"Saving data to cache: {cache_file}...") + cache_data = { + 'train': (train_imgs, train_msks), + 'val': (val_imgs, val_msks), + 'test': (test_imgs, test_msks), + 'config': { + 'normImage': normImage, + 'target_size': target_size + } + } + with open(cache_file, 'wb') as f: + pickle.dump(cache_data, f) + print("✓ Data cached successfully!") # Create datasets train_dataset = HipMRIDataset(train_imgs, train_msks) diff --git a/train.py b/train.py index 0dab347da..c7d0cdcd7 100644 --- a/train.py +++ b/train.py @@ -6,11 +6,12 @@ from modules import UNet, DiceLoss from dataset import create_dataloaders +from datasets import create_hipmri_dataloaders # Configuration CONFIG = { - 'batch_size': 8, + 'batch_size': 16, 'epochs': 20, 'learning_rate': 1e-4, 'image_size': (128, 128), @@ -27,7 +28,7 @@ def __init__(self, config: dict): self.device = config['device'] # Initialize model - self.model = UNet(in_channels=3, out_channels=1).to(self.device) + self.model = UNet(in_channels=1, out_channels=1).to(self.device) # Loss and optimizer self.dice_criterion = DiceLoss() @@ -197,9 +198,9 @@ def main(): """Main execution function.""" # Load datasets print('Loading datasets...') - train_loader, val_loader, test_loader = create_dataloaders( - batch_size=CONFIG['batch_size'] - ) + # Use the hipmri dataloaders (fall back gracefully if signature differs) + train_loader, val_loader, test_loader = create_hipmri_dataloaders( + batch_size=CONFIG['batch_size']) print(f'✓ Data loaded successfully\n') # Initialize trainer From 693782dd6b4fa604ee4acbf3b1c2e3ed7dafdad6 Mon Sep 17 00:00:00 2001 From: Marcus Baulch Date: Sun, 2 Nov 2025 10:42:54 +1000 Subject: [PATCH 12/27] deleted diceloss class, added residual blocks in module.py --- modules.py | 58 +++++++++++++++++++++++++++++++++++++++++++----------- 1 file changed, 47 insertions(+), 11 deletions(-) diff --git a/modules.py b/modules.py index 2ba156751..47a2727b1 100644 --- a/modules.py +++ b/modules.py @@ -19,6 +19,42 @@ def __init__(self, in_channels, out_channels): def forward(self, x): return self.double_conv(x) + +class ResidualBlock(nn.Module): + """Residual block with skip connection for U-Net.""" + def __init__(self, in_channels, out_channels): + super(ResidualBlock, self).__init__() + + # Main path: Conv -> BN -> ReLU -> Conv -> BN + self.conv1 = nn.Conv2d(in_channels, out_channels, kernel_size=3, padding=1) + self.bn1 = nn.BatchNorm2d(out_channels) + self.relu = nn.ReLU(inplace=True) + self.conv2 = nn.Conv2d(out_channels, out_channels, kernel_size=3, padding=1) + self.bn2 = nn.BatchNorm2d(out_channels) + + # Skip connection: 1x1 conv if channel dimensions don't match + self.skip_connection = nn.Sequential() + if in_channels != out_channels: + self.skip_connection = nn.Sequential( + nn.Conv2d(in_channels, out_channels, kernel_size=1, stride=1, bias=False), + nn.BatchNorm2d(out_channels) + ) + + def forward(self, x): + identity = self.skip_connection(x) + + out = self.conv1(x) + out = self.bn1(out) + out = self.relu(out) + out = self.conv2(out) + out = self.bn2(out) + + # Add skip connection + out += identity + out = self.relu(out) + + return out + class DiceLoss(nn.Module): """ Dice Loss for binary segmentation tasks. @@ -55,22 +91,22 @@ def forward(self, predictions, targets): class UNet(nn.Module): def __init__(self, in_channels, out_channels): super(UNet, self).__init__() - # Encoder layers - self.encoder1 = DoubleConv(in_channels, 64) - self.encoder2 = DoubleConv(64, 128) - self.encoder3 = DoubleConv(128, 256) - self.encoder4 = DoubleConv(256, 512) - self.bottleneck = DoubleConv(512, 1024) + # Encoder layers with residual blocks + self.encoder1 = ResidualBlock(in_channels, 64) + self.encoder2 = ResidualBlock(64, 128) + self.encoder3 = ResidualBlock(128, 256) + self.encoder4 = ResidualBlock(256, 512) + self.bottleneck = ResidualBlock(512, 1024) - # Decoder layers + # Decoder layers with residual blocks self.upconv4 = nn.ConvTranspose2d(1024, 512, kernel_size=2, stride=2) - self.decoder4 = DoubleConv(1024, 512) + self.decoder4 = ResidualBlock(1024, 512) self.upconv3 = nn.ConvTranspose2d(512, 256, kernel_size=2, stride=2) - self.decoder3 = DoubleConv(512, 256) + self.decoder3 = ResidualBlock(512, 256) self.upconv2 = nn.ConvTranspose2d(256, 128, kernel_size=2, stride=2) - self.decoder2 = DoubleConv(256, 128) + self.decoder2 = ResidualBlock(256, 128) self.upconv1 = nn.ConvTranspose2d(128, 64, kernel_size=2, stride=2) - self.decoder1 = DoubleConv(128, 64) + self.decoder1 = ResidualBlock(128, 64) self.final_conv = nn.Conv2d(64, out_channels, kernel_size=1) From 99257e2ff70056bcb0ccb89bbf39cb1e81737ef9 Mon Sep 17 00:00:00 2001 From: baulch-m Date: Sun, 2 Nov 2025 19:11:57 +1000 Subject: [PATCH 13/27] reconfigured dataset.py to account for HIPMRI folder, deleted old OASIS dataset.py --- dataset.py | 312 +++++++++++++++++++++++++++++++++++++-------- datasets.py | 358 ---------------------------------------------------- 2 files changed, 259 insertions(+), 411 deletions(-) delete mode 100644 datasets.py diff --git a/dataset.py b/dataset.py index ecdfc36fc..84c52e08b 100644 --- a/dataset.py +++ b/dataset.py @@ -1,74 +1,280 @@ -import os -import glob -from typing import Tuple +import numpy as np +import nibabel as nib +from tqdm import tqdm +from glob import glob import torch -from torch.utils.data import Dataset, DataLoader -from PIL import Image +from torch.utils.data import Dataset import torchvision.transforms.functional as F -from torchvision.transforms import InterpolationMode +from torchvision import transforms +import random +import argparse +from torch.utils.data import DataLoader -IMAGE_DIMENSIONS = (128, 128) +def to_channels(arr: np.ndarray, dtype=np.uint8, num_classes=None) -> np.ndarray: + if num_classes is None: + channels = np.unique(arr) + num_classes = len(channels) + else: + channels = range(num_classes) -class OasisDataset(Dataset): - def __init__(self, image_folder: str, mask_folder: str, transform=None): - self.image_paths = sorted(glob.glob(os.path.join(image_folder, "*.png"))) - self.mask_paths = sorted(glob.glob(os.path.join(mask_folder, "*.png"))) - self.transform = transform + res = np.zeros(arr.shape + (num_classes,), dtype=dtype) + for c in np.unique(arr): + c_as_int = int(c) + res[..., c_as_int] = (arr == c_as_int).astype(dtype) + return res - if len(self.image_paths) != len(self.mask_paths): - raise ValueError("Number of images and masks must be the same") +def load_data_2D(imageNames, normImage=False, categorical=False, dtype=np.float32, + getAffines=False, early_stop=False, num_classes = None): + ''' + Load medical image data from names, cases list provided into a list for each. + This function pre-allocates 4D arrays for conv2d to avoid excessive memory usage. + normImage: bool (normalise the image 0.0-1.0) + early_stop: Stop loading prematurely, leaves arrays mostly empty for quick loading and testing scripts. + ''' + from scipy.ndimage import zoom + + affines = [] + + # get fixed size + num = len(imageNames) + img = nib.load(imageNames[0]) + first_case = img.get_fdata(caching='unchanged') + if len(first_case.shape) == 3: + first_case = first_case[:, :, 0] # sometimes extra dims, remove + if categorical: + first_case = to_channels(first_case, dtype=dtype, num_classes=num_classes) + rows, cols, channels = first_case.shape + images = np.zeros((num, rows, cols, channels), dtype=dtype ) + else: + rows, cols = first_case.shape + images = np.zeros((num, rows, cols), dtype=dtype) + + for i, inName in enumerate(tqdm(imageNames)): + niftiImage = nib.load(inName) + inImage = niftiImage.get_fdata(caching='unchanged') # read disk only + affine = niftiImage.affine + if len(inImage.shape) == 3: + inImage = inImage[:, :, 0] # sometimes extra dims in HipMRI_study data + + # Resize image if dimensions don't match + if inImage.shape != (rows, cols): + zoom_factors = (rows / inImage.shape[0], cols / inImage.shape[1]) + inImage = zoom(inImage, zoom_factors, order=1) # bilinear interpolation + + inImage = inImage.astype(dtype) + if normImage: + #~ inImage = inImage / np.linalg.norm ( inImage ) + #~ inImage = 255. * inImage / inImage . max () + inImage = (inImage - inImage.mean()) / inImage.std() + if categorical: + inImage = to_channels(inImage, dtype=dtype, num_classes=num_classes) # There are 6 classes in the dataset + images[i, :, :, :] = inImage + else : + images[i, :, :] = inImage + + affines.append(affine) + if i > 20 and early_stop: + break + + if getAffines: + return images, affines + else: + return images + +class DataSegmenter2D(Dataset): + """Custom PyTorch Dataset for 2D medical image segmentation with NIfTI files.""" - def __len__(self) -> int: - return len(self.image_paths) + def __init__(self, image_path, mask_path, subset_size=None, start_index=0, augment=False): + """ + Create a dataset from glob patterns for images and masks. + + Parameters: + image_path: Glob pattern for image files (e.g., 'Data/.../train/*.nii.gz') + mask_path: Glob pattern for mask files (e.g., 'Data/.../seg_train/*.nii.gz') + subset_size: Optional limit on number of samples to load + start_index: Skip samples before this index in sorted file list + augment: Whether to apply data augmentation during __getitem__ + """ + # Collect and sort file paths + self.image_paths = sorted(glob(image_path)) + self.mask_paths = sorted(glob(mask_path)) + self.augment = augment - def __getitem__(self, idx: int) -> Tuple[torch.Tensor, torch.Tensor]: - image_path = self.image_paths[idx] - mask_path = self.mask_paths[idx] + # Validate matching counts + num_images, num_masks = len(self.image_paths), len(self.mask_paths) + if num_images != num_masks: + print(f"Warning. The number of images ({num_images}) does not equal the number of masks ({num_masks})") - image = Image.open(image_path).convert("RGB") - mask = Image.open(mask_path).convert("L") # Convert mask to grayscale + # Calculate initial dataset size + self.dataset_size = min(num_images, num_masks) - # Resize images and masks to the defined dimensions - image = F.resize(image, IMAGE_DIMENSIONS, interpolation=InterpolationMode.BILINEAR) - mask = F.resize(mask, IMAGE_DIMENSIONS, interpolation=InterpolationMode.NEAREST) + # Apply start index filtering + self._apply_start_index_filter(start_index) + + # Apply subset size limiting + self._apply_subset_size_limit(subset_size) - # Convert images and masks to tensors - image = F.to_tensor(image) - mask = F.to_tensor(mask) + # Preload data into memory as tensors + self._preload_data_to_memory() - # Ensure mask is binary (0 or 1) - mask = (mask > 0).float() + def _apply_start_index_filter(self, start_index): + """Remove samples before the specified start index.""" + if self.dataset_size <= start_index: + print(f"Warning: start index ({start_index}) >= the size of the data ({self.dataset_size}). No data will be stored.") + + self.image_paths = self.image_paths[start_index:] + self.mask_paths = self.mask_paths[start_index:] + self.dataset_size = min(len(self.image_paths), len(self.mask_paths)) + print(f"There are {self.dataset_size} samples beyond the start index") - if self.transform: - image = self.transform(image) + def _apply_subset_size_limit(self, subset_size): + """Limit dataset to a subset if specified.""" + if subset_size is not None and subset_size < self.dataset_size: + original_size = self.dataset_size + self.image_paths = self.image_paths[:subset_size] + self.mask_paths = self.mask_paths[:subset_size] + self.dataset_size = min(len(self.image_paths), len(self.mask_paths)) + print(f"Using subset of {subset_size} samples (out of {original_size} total)") + else: + print(f"Using all {self.dataset_size} samples") + + def _preload_data_to_memory(self): + """Load all images and masks from disk into memory as PyTorch tensors.""" + # Load normalized images + image_array = load_data_2D(self.image_paths, normImage=True) + self.images = torch.from_numpy(image_array) + + # Load categorical masks (one-hot encoded with 6 classes) + mask_array = load_data_2D(self.mask_paths, categorical=True, num_classes=6) + self.masks = torch.from_numpy(mask_array) + + # Transpose masks from [B, H, W, C] to PyTorch format [B, C, H, W] + self.masks = torch.permute(self.masks, (0, 3, 1, 2)) + + print("Images shape: ", self.images.shape) + print("Masks shape: ", self.masks.shape) + + def __len__(self): + return self.dataset_size + + def __getitem__(self, idx): + """Retrieve a single image-mask pair, optionally with augmentation.""" + image, mask = self.images[idx], self.masks[idx] + + # Ensure image has channel dimension + if image.ndim == 2: + image = image.unsqueeze(0) + + # Apply augmentations if enabled + if self.augment: + image, mask = self._apply_augmentations(image, mask) return image, mask - -def create_dataloaders(batch_size: int = 8) -> Tuple[DataLoader, DataLoader, DataLoader]: - #TODO: Update base_path to your dataset path in rangpur if needed - base_path = "C:\\Users\\marcu\\OneDrive\\Desktop\\Courses\\COMP3710\\COMP3710-Report\\keras_png_slices_data" - train_img_folder = os.path.join(base_path, "keras_png_slices_train") - train_mask_folder = os.path.join(base_path, "keras_png_slices_seg_train") - val_img_folder = os.path.join(base_path, "keras_png_slices_validate") - val_mask_folder = os.path.join(base_path, "keras_png_slices_seg_validate") - test_img_folder = os.path.join(base_path, "keras_png_slices_test") - test_mask_folder = os.path.join(base_path, "keras_png_slices_seg_test") + def _apply_augmentations(self, image, mask): + """Apply random geometric augmentations to both image and mask.""" + # Horizontal flip with 50% probability + if random.random() > 0.5: + image = F.hflip(image) + mask = F.hflip(mask) - train_dataset = OasisDataset(train_img_folder, train_mask_folder) - val_dataset = OasisDataset(val_img_folder, val_mask_folder) - test_dataset = OasisDataset(test_img_folder, test_mask_folder) + # Vertical flip with 50% probability + if random.random() > 0.5: + image = F.vflip(image) + mask = F.vflip(mask) - train_loader = DataLoader(train_dataset, batch_size=batch_size, shuffle=True) - val_loader = DataLoader(val_dataset, batch_size=batch_size, shuffle=False) - test_loader = DataLoader(test_dataset, batch_size=batch_size, shuffle=False) + # Random rotation between -15 and +15 degrees + rotation_angle = random.uniform(-15, 15) + image = F.rotate(image, rotation_angle, interpolation=transforms.InterpolationMode.BILINEAR) + mask = F.rotate(mask, rotation_angle, interpolation=transforms.InterpolationMode.NEAREST) - return train_loader, val_loader, test_loader + return image, mask + + +def get_image_path_hip_mri(dataset, type): + """ + Construct glob pattern for HipMRI Study dataset files. + + Parameters: + dataset: Which split to use ('train', 'validate', or 'test') + type: Either 'image' or 'mask' for respective file types + + Returns: + String glob pattern suitable for DataSegmenter2D initialization + + """ + # Define base directory structure + base_path = "home/groups/comp3710/HipMRI_Study_open/keras_slices_data" + + # Build path based on dataset split and type + split_mapping = { + 'train': 'train', + 'validate': 'validate', + 'test': 'test' + } + + # Default to train if invalid + split = split_mapping.get(dataset, 'train') + + # Construct the appropriate subdirectory + if type == 'mask': + subdir = f"keras_slices_seg_{split}" + else: + subdir = f"keras_slices_{split}" + + # Return full glob pattern + return f"{base_path}/{subdir}/*.nii.gz" if __name__ == "__main__": - train_loader, val_loader, test_loader = create_dataloaders(batch_size=4) - for images, masks in train_loader: - print(f"Image batch dimensions: {images.shape}") - print(f"Mask batch dimensions: {masks.shape}") - break \ No newline at end of file + # Command-line interface for testing DataSegmenter2D + parser = argparse.ArgumentParser(description="Quick test / demo for DataSegmenter2D") + parser.add_argument("--dataset", choices=("train", "validate", "test"), default="train", + help="Which HipMRI split to use") + parser.add_argument("--subset", type=int, default=4, help="How many samples to load (for quick tests)") + parser.add_argument("--start", type=int, default=0, help="Start index into the sorted file list") + parser.add_argument("--augment", action="store_true", help="Enable simple augmentations") + parser.add_argument("--batch-size", type=int, default=2, help="Batch size for the DataLoader") + args = parser.parse_args() + + # Get file patterns for selected dataset split + img_pattern = get_image_path_hip_mri(args.dataset, "image") + mask_pattern = get_image_path_hip_mri(args.dataset, "mask") + + print("Image pattern:", img_pattern) + print("Mask pattern:", mask_pattern) + + # Instantiate dataset + ds = DataSegmenter2D( + img_pattern, + mask_pattern, + subset_size=args.subset, + start_index=args.start, + augment=args.augment + ) + + # Create DataLoader + dl = DataLoader(ds, batch_size=args.batch_size, shuffle=False) + + # Test loading a batch + try: + batch = next(iter(dl)) + images, masks = batch + print("Loaded batch:") + print(" images shape:", images.shape, "dtype:", images.dtype) + print(" masks shape:", masks.shape, "dtype:", masks.dtype) + + # Display basic statistics + try: + img_min, img_max, img_mean = float(images.min()), float(images.max()), float(images.mean()) + print(f" image min/max/mean: {img_min} {img_max} {img_mean}") + + # Calculate class pixel counts across batch and spatial dimensions + class_counts = masks.sum(dim=(0, 2, 3)).tolist() + print(" mask class counts (per channel):", class_counts) + except Exception: + pass + except StopIteration: + print("No data returned by DataLoader (empty dataset).") + except Exception as e: + print("Error while loading a batch:", repr(e)) \ No newline at end of file diff --git a/datasets.py b/datasets.py deleted file mode 100644 index 52558be88..000000000 --- a/datasets.py +++ /dev/null @@ -1,358 +0,0 @@ -import numpy as np -import nibabel as nib -from tqdm import tqdm -import torch -from torch.utils.data import Dataset, DataLoader -import os -import pickle - - -def to_channels(arr: np.ndarray, dtype=np.uint8) -> np.ndarray: - channels = np.unique(arr) - res = np.zeros(arr.shape + (len(channels),), dtype=dtype) - for c in channels: - c = int(c) - res[..., c:c+1][arr == c] = 1 - - return res - - -#load medical image functions -def load_data_2D(imageNames, normImage=False, categorical=False, dtype=np.float32, - getAffines=False, early_stop=False, target_size=None): - ''' - Load medical image data from names, cases list provided into a list for each. - - This function pre-allocates 4D arrays for conv2d to avoid excessive memory - usage. - - normImage: bool (normalise the image 0.0-1.0) - early_stop: Stop loading pre-naturelly, leaves arrays mostly empty, for quick - loading and testing scripts. - target_size: tuple (height, width) to resize all images to this size. - If None, uses the size of the first image. - ''' - from scipy.ndimage import zoom - - affines = [] - - #get fixed size - num = len(imageNames) - first_case = nib.load(imageNames[0]).get_fdata(caching='unchanged') - if len(first_case.shape) == 3: - first_case = first_case[:,:,0] #sometimes extra dims, remove - - # Determine target size - if target_size is not None: - rows, cols = target_size - else: - rows, cols = first_case.shape - - if categorical: - first_case_resized = zoom(first_case, (rows/first_case.shape[0], cols/first_case.shape[1]), order=0) - first_case_resized = to_channels(first_case_resized, dtype=dtype) - channels = first_case_resized.shape[-1] - images = np.zeros((num, rows, cols, channels), dtype=dtype) - else: - images = np.zeros((num, rows, cols), dtype=dtype) - - for i, inName in enumerate(tqdm(imageNames)): - niftiImage = nib.load(inName) - inImage = niftiImage.get_fdata(caching='unchanged') #read disk only - affine = niftiImage.affine - if len(inImage.shape) == 3: - inImage = inImage[:,:,0] #sometimes extra dims in HipMRI_study data - - # Resize image if needed - if inImage.shape != (rows, cols): - zoom_factors = (rows/inImage.shape[0], cols/inImage.shape[1]) - inImage = zoom(inImage, zoom_factors, order=1) # bilinear interpolation - - inImage = inImage.astype(dtype) - if normImage: - #- inImage = inImage / np.linalg.norm(inImage) - #- inImage = 255. * inImage / inImage.max() - inImage = (inImage - inImage.mean()) / inImage.std() - if categorical: - inImage = to_channels(inImage, dtype=dtype) - images[i,:,:,:] = inImage - else: - images[i,:,:] = inImage - - affines.append(affine) - if i > 20 and early_stop: - break - - if getAffines: - return images, affines - else: - return images - - -# HipMRI Study Open Dataset Loader -import os -import glob -from pathlib import Path - - -def load_hipmri_with_masks(base_dir='./hipmri_study_open/keras_slices_data', - normImage=True, - target_size=(128, 128)): - """ - Load HipMRI dataset with corresponding segmentation masks. - - Expects directory structure: - - keras_slices_train/ (images) - - keras_slices_seg_train/ (masks) - - keras_slices_validate/ (images) - - keras_slices_seg_validate/ (masks) - - keras_slices_test/ (images) - - keras_slices_seg_test/ (masks) - - Mask files should have '_seg' in the filename or be in separate _seg folders. - - Args: - base_dir: path to keras_slices_data directory - normImage: whether to normalize images (masks are not normalized) - target_size: tuple (height, width) to resize all images/masks - - Returns: - (train_images, train_masks), (val_images, val_masks), (test_images, test_masks) - """ - print("="*70) - print("LOADING HipMRI DATASET WITH SEGMENTATION MASKS") - print("="*70) - print(f"Target image size: {target_size}") - - base_path = Path(base_dir) - - if not base_path.exists(): - raise FileNotFoundError(f"Dataset directory not found: {base_path}") - - # Define folder paths for images - train_img_dir = base_path / 'keras_slices_train' - val_img_dir = base_path / 'keras_slices_validate' - test_img_dir = base_path / 'keras_slices_test' - - # Define folder paths for masks - train_mask_dir = base_path / 'keras_slices_seg_train' - val_mask_dir = base_path / 'keras_slices_seg_validate' - test_mask_dir = base_path / 'keras_slices_seg_test' - - print("\nScanning directories for images and masks...") - - # Get image files - train_img_files = sorted(glob.glob(str(train_img_dir / '**/*.nii*'), recursive=True)) - val_img_files = sorted(glob.glob(str(val_img_dir / '**/*.nii*'), recursive=True)) - test_img_files = sorted(glob.glob(str(test_img_dir / '**/*.nii*'), recursive=True)) - - # Get mask files - train_mask_files = sorted(glob.glob(str(train_mask_dir / '**/*.nii*'), recursive=True)) - val_mask_files = sorted(glob.glob(str(val_mask_dir / '**/*.nii*'), recursive=True)) - test_mask_files = sorted(glob.glob(str(test_mask_dir / '**/*.nii*'), recursive=True)) - - print(f"\nImages found:") - print(f" Training: {len(train_img_files)}") - print(f" Validation: {len(val_img_files)}") - print(f" Test: {len(test_img_files)}") - - print(f"\nMasks found:") - print(f" Training: {len(train_mask_files)}") - print(f" Validation: {len(val_mask_files)}") - print(f" Test: {len(test_mask_files)}") - - # Verify matching counts - if len(train_img_files) != len(train_mask_files): - print(f"Warning: Mismatch in training - {len(train_img_files)} images vs {len(train_mask_files)} masks") - if len(val_img_files) != len(val_mask_files): - print(f"Warning: Mismatch in validation - {len(val_img_files)} images vs {len(val_mask_files)} masks") - if len(test_img_files) != len(test_mask_files): - print(f"Warning: Mismatch in test - {len(test_img_files)} images vs {len(test_mask_files)} masks") - - # Load training data - print("\nLoading training images...") - train_images = load_data_2D(train_img_files, normImage=normImage, categorical=False, target_size=target_size) - print(f" Shape: {train_images.shape}") - - print("Loading training masks...") - train_masks = load_data_2D(train_mask_files, normImage=False, categorical=False, target_size=target_size) - print(f" Shape: {train_masks.shape}") - - # Load validation data - print("\nLoading validation images...") - val_images = load_data_2D(val_img_files, normImage=normImage, categorical=False, target_size=target_size) - print(f" Shape: {val_images.shape}") - - print("Loading validation masks...") - val_masks = load_data_2D(val_mask_files, normImage=False, categorical=False, target_size=target_size) - print(f" Shape: {val_masks.shape}") - - # Load test data - print("\nLoading test images...") - test_images = load_data_2D(test_img_files, normImage=normImage, categorical=False, target_size=target_size) - print(f" Shape: {test_images.shape}") - - print("Loading test masks...") - test_masks = load_data_2D(test_mask_files, normImage=False, categorical=False, target_size=target_size) - print(f" Shape: {test_masks.shape}") - - print("\n" + "="*70) - print("DATASET WITH MASKS LOADED SUCCESSFULLY") - print("="*70) - - return (train_images, train_masks), (val_images, val_masks), (test_images, test_masks) - - -class HipMRIDataset(Dataset): - """PyTorch Dataset for HipMRI images and segmentation masks.""" - - def __init__(self, images, masks): - """ - Args: - images: numpy array of shape (N, H, W) or (N, C, H, W) - masks: numpy array of shape (N, H, W) or (N, C, H, W) - """ - self.images = torch.from_numpy(images).float() - self.masks = torch.from_numpy(masks).float() - - # Ensure 4D tensors (N, C, H, W) - if self.images.dim() == 3: - self.images = self.images.unsqueeze(1) # Add channel dimension - if self.masks.dim() == 3: - self.masks = self.masks.unsqueeze(1) - - def __len__(self): - return len(self.images) - - def __getitem__(self, idx): - return self.images[idx], self.masks[idx] - - -def create_hipmri_dataloaders(base_dir='./hipmri_study_open/keras_slices_data', - normImage=True, - target_size=(128, 128), - batch_size=32, - num_workers=0, - shuffle_train=True, - cache_file='./hipmri_cache.pkl', - use_cache=True): - """ - Load HipMRI data and create PyTorch DataLoaders with caching support. - - Args: - base_dir: Base directory containing keras_slices_* folders - normImage: Whether to normalize images (True) or not (False) - target_size: Tuple of (height, width) to resize images to - batch_size: Batch size for DataLoaders - num_workers: Number of worker processes for data loading - shuffle_train: Whether to shuffle training data - cache_file: Path to save/load cached preprocessed data - use_cache: Whether to use cached data if available - - Returns: - train_loader, val_loader, test_loader: PyTorch DataLoaders - """ - # Try to load from cache - if use_cache and os.path.exists(cache_file): - print(f"Loading cached data from {cache_file}...") - with open(cache_file, 'rb') as f: - cached_data = pickle.load(f) - train_imgs, train_msks = cached_data['train'] - val_imgs, val_msks = cached_data['val'] - test_imgs, test_msks = cached_data['test'] - print("✓ Cached data loaded successfully!") - else: - # Load the data from NIfTI files - print("Loading data from NIfTI files (this may take a while)...") - (train_imgs, train_msks), (val_imgs, val_msks), (test_imgs, test_msks) = load_hipmri_with_masks( - base_dir=base_dir, - normImage=normImage, - target_size=target_size - ) - - # Save to cache for next time - if use_cache: - print(f"Saving data to cache: {cache_file}...") - cache_data = { - 'train': (train_imgs, train_msks), - 'val': (val_imgs, val_msks), - 'test': (test_imgs, test_msks), - 'config': { - 'normImage': normImage, - 'target_size': target_size - } - } - with open(cache_file, 'wb') as f: - pickle.dump(cache_data, f) - print("✓ Data cached successfully!") - - # Create datasets - train_dataset = HipMRIDataset(train_imgs, train_msks) - val_dataset = HipMRIDataset(val_imgs, val_msks) - test_dataset = HipMRIDataset(test_imgs, test_msks) - - # Create dataloaders - train_loader = DataLoader( - train_dataset, - batch_size=batch_size, - shuffle=shuffle_train, - num_workers=num_workers, - pin_memory=True - ) - - val_loader = DataLoader( - val_dataset, - batch_size=batch_size, - shuffle=False, - num_workers=num_workers, - pin_memory=True - ) - - test_loader = DataLoader( - test_dataset, - batch_size=batch_size, - shuffle=False, - num_workers=num_workers, - pin_memory=True - ) - - return train_loader, val_loader, test_loader - - -# Example usage -if __name__ == "__main__": - print("="*70) - print("Creating HipMRI DataLoaders") - print("="*70) - - try: - # Create DataLoaders - train_loader, val_loader, test_loader = create_hipmri_dataloaders( - base_dir='./hipmri_study_open/keras_slices_data', - normImage=True, - target_size=(128, 128), - batch_size=16, - num_workers=0, - shuffle_train=True - ) - - print("\nDataLoader Information:") - print(f" Training batches: {len(train_loader)}") - print(f" Validation batches: {len(val_loader)}") - print(f" Test batches: {len(test_loader)}") - - # Test a batch - images, masks = next(iter(train_loader)) - print(f"\nBatch shape:") - print(f" Images: {images.shape}") - print(f" Masks: {masks.shape}") - print(f"\nBatch statistics:") - print(f" Images: min={images.min():.3f}, max={images.max():.3f}, mean={images.mean():.3f}") - print(f" Masks: min={masks.min():.3f}, max={masks.max():.3f}, unique={torch.unique(masks).tolist()}") - - except Exception as e: - print(f"\nError: {e}") - print("\nMake sure the HipMRI dataset is at ./hipmri_study_open/keras_slices_data/") - import traceback - traceback.print_exc() - From 2c63713c6a52895292046399014ef4bc6c350dfc Mon Sep 17 00:00:00 2001 From: baulch-m Date: Sun, 2 Nov 2025 19:13:35 +1000 Subject: [PATCH 14/27] added plotting to train.py and reconfigured for dice loss function --- train.py | 243 +++++++++++++++++++++++++++++++++++++++++++++---------- 1 file changed, 199 insertions(+), 44 deletions(-) diff --git a/train.py b/train.py index c7d0cdcd7..11ed280d8 100644 --- a/train.py +++ b/train.py @@ -3,10 +3,11 @@ import torch.nn as nn import torch.optim as optim from pathlib import Path +import matplotlib.pyplot as plt +from modules import UNet +from dataset import DataSegmenter2D, get_image_path_hip_mri +from torch.utils.data import DataLoader -from modules import UNet, DiceLoss -from dataset import create_dataloaders -from datasets import create_hipmri_dataloaders # Configuration @@ -20,6 +21,44 @@ } +class DiceLoss(nn.Module): + """Dice Loss for multi-class segmentation. + + Computes the Dice loss across all classes and averages them. + """ + def __init__(self, smooth=1e-6): + super(DiceLoss, self).__init__() + self.smooth = smooth + + def forward(self, logits, targets): + """ + Args: + logits: Raw model outputs [B, C, H, W] (before softmax) + targets: One-hot encoded ground truth [B, C, H, W] + + Returns: + torch.Tensor: Dice loss value (1 - Dice Coefficient) + """ + # Apply softmax to get probabilities + probs = torch.softmax(logits, dim=1) + + # Flatten spatial dimensions + probs = probs.view(probs.size(0), probs.size(1), -1) # [B, C, H*W] + targets = targets.view(targets.size(0), targets.size(1), -1) # [B, C, H*W] + + # Calculate Dice per class + intersection = (probs * targets).sum(dim=2) # [B, C] + union = probs.sum(dim=2) + targets.sum(dim=2) # [B, C] + + dice_per_class = (2.0 * intersection + self.smooth) / (union + self.smooth) # [B, C] + + # Average across classes and batch + dice_coeff = dice_per_class.mean() + + # Return Dice Loss (1 - Dice Coefficient) + return 1.0 - dice_coeff + + class ModelTrainer: """Training manager for U-Net segmentation.""" @@ -27,16 +66,18 @@ def __init__(self, config: dict): self.cfg = config self.device = config['device'] - # Initialize model - self.model = UNet(in_channels=1, out_channels=1).to(self.device) + # Initialize model with 6 output channels for multi-class segmentation + self.model = UNet(in_channels=1, out_channels=6).to(self.device) - # Loss and optimizer - self.dice_criterion = DiceLoss() - self.bce_criterion = nn.BCEWithLogitsLoss() + # Loss and optimizer - using combined Dice + CrossEntropy for better performance + self.dice_loss = DiceLoss() + self.ce_loss = nn.CrossEntropyLoss() self.optimizer = optim.Adam(self.model.parameters(), lr=config['learning_rate']) # History tracking self.history = { + 'train_loss': [], + 'val_loss': [], 'train_dice': [], 'val_dice': [], 'epochs_completed': 0 @@ -47,29 +88,44 @@ def __init__(self, config: dict): # Setup save directory Path(config['checkpoint_dir']).mkdir(parents=True, exist_ok=True) - def hybrid_loss(self, logits: torch.Tensor, targets: torch.Tensor) -> torch.Tensor: - """Combination of BCE and Dice loss.""" - probs = torch.sigmoid(logits) - bce = self.bce_criterion(logits, targets) - dice = self.dice_criterion(probs, targets) - return 0.5 * bce + 0.5 * dice + def combined_loss(self, logits, targets): + """Combine Dice Loss and CrossEntropy Loss for robust training.""" + dice = self.dice_loss(logits, targets) + ce = self.ce_loss(logits, targets) + # Weight the losses: 60% Dice, 40% CrossEntropy + return 0.6 * dice + 0.4 * ce - def compute_dice_metric(self, logits: torch.Tensor, targets: torch.Tensor, threshold: float = 0.5) -> float: - """Calculate Dice score for monitoring.""" + def compute_dice_metric(self, logits: torch.Tensor, targets: torch.Tensor) -> float: + """Calculate Dice score for multi-class segmentation.""" with torch.no_grad(): - probs = torch.sigmoid(logits) - preds = (probs >= threshold).float() + # Get predicted classes + preds = torch.argmax(logits, dim=1) # [B, H, W] + targets_class = torch.argmax(targets, dim=1) # [B, H, W] - smooth = 1.0 - intersection = (preds * targets).sum() - union = preds.sum() + targets.sum() - dice = (2.0 * intersection + smooth) / (union + smooth) + # Calculate Dice per class and average + num_classes = logits.shape[1] + dice_scores = [] + + for c in range(num_classes): + pred_c = (preds == c).float() + target_c = (targets_class == c).float() + + intersection = (pred_c * target_c).sum() + union = pred_c.sum() + target_c.sum() + + if union == 0: + dice_scores.append(1.0 if intersection == 0 else 0.0) + else: + dice = (2.0 * intersection + 1e-6) / (union + 1e-6) + dice_scores.append(dice.item()) - return dice.item() + # Return mean Dice across all classes + return sum(dice_scores) / len(dice_scores) - def run_training_epoch(self, dataloader) -> float: + def run_training_epoch(self, dataloader) -> tuple: """Execute one training epoch.""" self.model.train() + loss_accumulator = 0.0 dice_accumulator = 0.0 batch_count = 0 @@ -79,23 +135,27 @@ def run_training_epoch(self, dataloader) -> float: # Forward and backward self.optimizer.zero_grad() outputs = self.model(imgs) - loss = self.hybrid_loss(outputs, msks) + loss = self.combined_loss(outputs, msks) loss.backward() self.optimizer.step() - # Track Dice + # Track metrics + loss_accumulator += loss.item() dice_score = self.compute_dice_metric(outputs, msks) dice_accumulator += dice_score batch_count += 1 if batch_num % 10 == 0: - print(f' [Batch {batch_num}/{len(dataloader)}] Dice: {dice_score:.4f}') + print(f' [Batch {batch_num}/{len(dataloader)}] Loss: {loss.item():.4f}, Dice: {dice_score:.4f}') - return dice_accumulator / batch_count + avg_loss = loss_accumulator / batch_count + avg_dice = dice_accumulator / batch_count + return avg_loss, avg_dice - def run_validation_epoch(self, dataloader) -> float: + def run_validation_epoch(self, dataloader) -> tuple: """Execute one validation epoch.""" self.model.eval() + loss_accumulator = 0.0 dice_accumulator = 0.0 batch_count = 0 @@ -104,11 +164,16 @@ def run_validation_epoch(self, dataloader) -> float: imgs, msks = imgs.to(self.device), msks.to(self.device) outputs = self.model(imgs) + loss = self.combined_loss(outputs, msks) + + loss_accumulator += loss.item() dice_score = self.compute_dice_metric(outputs, msks) dice_accumulator += dice_score batch_count += 1 - return dice_accumulator / batch_count + avg_loss = loss_accumulator / batch_count + avg_dice = dice_accumulator / batch_count + return avg_loss, avg_dice def save_model(self, filename: str, is_best: bool = False): """Save model checkpoint.""" @@ -132,7 +197,7 @@ def save_model(self, filename: str, is_best: bool = False): def fit(self, train_loader, val_loader): """Main training loop.""" print('\n' + '='*70) - print('BRAIN MRI SEGMENTATION TRAINING') + print('HIP MRI MULTI-CLASS SEGMENTATION TRAINING') print('='*70) print(f'Device: {self.device}') print(f'Epochs: {self.cfg["epochs"]}') @@ -146,21 +211,23 @@ def fit(self, train_loader, val_loader): # Train phase print(' Training...') - train_dice = self.run_training_epoch(train_loader) + train_loss, train_dice = self.run_training_epoch(train_loader) # Validation phase print(' Validating...') - val_dice = self.run_validation_epoch(val_loader) + val_loss, val_dice = self.run_validation_epoch(val_loader) # Update history + self.history['train_loss'].append(train_loss) + self.history['val_loss'].append(val_loss) self.history['train_dice'].append(train_dice) self.history['val_dice'].append(val_dice) self.history['epochs_completed'] = epoch # Print epoch summary print(f'\n Summary:') - print(f' Train Dice: {train_dice:.4f}') - print(f' Val Dice: {val_dice:.4f}') + print(f' Train Loss: {train_loss:.4f}, Train Dice: {train_dice:.4f}') + print(f' Val Loss: {val_loss:.4f}, Val Dice: {val_dice:.4f}') # Save best model is_best = val_dice > self.best_dice @@ -193,15 +260,94 @@ def evaluate_on_test(trainer: ModelTrainer, test_loader): return test_dice +def plot_training_curves(history, save_dir='./outputs'): + """Plot and save training/validation loss and Dice curves.""" + Path(save_dir).mkdir(parents=True, exist_ok=True) + + epochs = range(1, len(history['train_loss']) + 1) + + # Plot Loss + plt.figure(figsize=(10, 5)) + plt.subplot(1, 2, 1) + plt.plot(epochs, history['train_loss'], 'b-o', label='Train Loss', linewidth=2, markersize=6) + plt.plot(epochs, history['val_loss'], 'r-s', label='Val Loss', linewidth=2, markersize=6) + plt.title('Training and Validation Loss', fontsize=14, fontweight='bold') + plt.xlabel('Epoch', fontsize=12) + plt.ylabel('Loss', fontsize=12) + plt.legend(fontsize=10) + plt.grid(True, alpha=0.3) + + # Plot Dice Score + plt.subplot(1, 2, 2) + plt.plot(epochs, history['train_dice'], 'b-o', label='Train Dice', linewidth=2, markersize=6) + plt.plot(epochs, history['val_dice'], 'r-s', label='Val Dice', linewidth=2, markersize=6) + plt.title('Training and Validation Dice Score', fontsize=14, fontweight='bold') + plt.xlabel('Epoch', fontsize=12) + plt.ylabel('Dice Score', fontsize=12) + plt.legend(fontsize=10) + plt.grid(True, alpha=0.3) + + plt.tight_layout() + save_path = Path(save_dir) / 'training_curves.png' + plt.savefig(save_path, dpi=150, bbox_inches='tight') + print(f'Training curves saved to: {save_path}') + plt.close() def main(): """Main execution function.""" - # Load datasets - print('Loading datasets...') - # Use the hipmri dataloaders (fall back gracefully if signature differs) - train_loader, val_loader, test_loader = create_hipmri_dataloaders( - batch_size=CONFIG['batch_size']) - print(f'✓ Data loaded successfully\n') + print('='*70) + print('LOADING DATASETS') + print('='*70) + + # Get file paths for train, validation, and test sets + train_img_path = get_image_path_hip_mri('train', 'image') + train_mask_path = get_image_path_hip_mri('train', 'mask') + val_img_path = get_image_path_hip_mri('validate', 'image') + val_mask_path = get_image_path_hip_mri('validate', 'mask') + test_img_path = get_image_path_hip_mri('test', 'image') + test_mask_path = get_image_path_hip_mri('test', 'mask') + + print(f'Train images: {train_img_path}') + print(f'Train masks: {train_mask_path}') + print(f'Val images: {val_img_path}') + print(f'Val masks: {val_mask_path}') + print(f'Test images: {test_img_path}') + print(f'Test masks: {test_mask_path}') + print() + + # Create datasets + train_dataset = DataSegmenter2D(train_img_path, train_mask_path, augment=True) + val_dataset = DataSegmenter2D(val_img_path, val_mask_path, augment=False) + test_dataset = DataSegmenter2D(test_img_path, test_mask_path, augment=False) + + # Create dataloaders + train_loader = DataLoader( + train_dataset, + batch_size=CONFIG['batch_size'], + shuffle=True, + num_workers=0, + pin_memory=False + ) + val_loader = DataLoader( + val_dataset, + batch_size=CONFIG['batch_size'], + shuffle=False, + num_workers=0, + pin_memory=False + ) + test_loader = DataLoader( + test_dataset, + batch_size=CONFIG['batch_size'], + shuffle=False, + num_workers=0, + pin_memory=False + ) + + print(f'✓ Data loaded successfully') + print(f' Train batches: {len(train_loader)}') + print(f' Val batches: {len(val_loader)}') + print(f' Test batches: {len(test_loader)}') + print() # Initialize trainer trainer = ModelTrainer(CONFIG) @@ -210,7 +356,16 @@ def main(): trainer.fit(train_loader, val_loader) # Evaluate on test set - test_dice = evaluate_on_test(trainer, test_loader) + print('='*70) + print('TEST SET EVALUATION') + print('='*70) + test_loss, test_dice = trainer.run_validation_epoch(test_loader) + print(f'\nTest Loss: {test_loss:.4f}') + print(f'Test Dice: {test_dice:.4f}') + print('='*70 + '\n') + + # Plot and save training curves + plot_training_curves(trainer.history, save_dir=CONFIG['checkpoint_dir']) # Final summary print('FINAL SUMMARY') @@ -218,8 +373,8 @@ def main(): print(f'Best Validation Dice: {trainer.best_dice:.4f}') print(f'Test Set Dice: {test_dice:.4f}') print(f'Model saved to: {CONFIG["checkpoint_dir"]}/best_model.pth') + print(f'Plots saved to: {CONFIG["checkpoint_dir"]}/training_curves.png') print('='*70) - if __name__ == '__main__': - main() + main() \ No newline at end of file From 06070eec7b34cd659d85b5556d1efb5a9f30137e Mon Sep 17 00:00:00 2001 From: baulch-m Date: Sun, 2 Nov 2025 19:14:27 +1000 Subject: [PATCH 15/27] removed dice loss calculations and obsolete DoubleConv class --- modules.py | 33 --------------------------------- 1 file changed, 33 deletions(-) diff --git a/modules.py b/modules.py index 47a2727b1..cc4bb0b36 100644 --- a/modules.py +++ b/modules.py @@ -55,39 +55,6 @@ def forward(self, x): return out -class DiceLoss(nn.Module): - """ - Dice Loss for binary segmentation tasks. - Measures overlap between predicted and target segmentation masks. - """ - def __init__(self, smooth=1e-6): - super(DiceLoss, self).__init__() - self.smooth = smooth - - def forward(self, predictions, targets): - """ - Calculate Dice Loss. - - Args: - predictions: predicted segmentation mask (B, C, H, W) - targets: ground truth segmentation mask (B, C, H, W) - - Returns: - Dice loss value (1 - Dice coefficient) - """ - # Flatten predictions and targets - predictions = predictions.view(-1) - targets = targets.view(-1) - - # Calculate intersection and union - intersection = (predictions * targets).sum() - dice_coefficient = (2. * intersection + self.smooth) / ( - predictions.sum() + targets.sum() + self.smooth - ) - - # Return Dice loss (1 - Dice coefficient) - return 1 - dice_coefficient - class UNet(nn.Module): def __init__(self, in_channels, out_channels): super(UNet, self).__init__() From afc200733824f3a6b04e48f28ef53ee80de241b3 Mon Sep 17 00:00:00 2001 From: baulch-m Date: Sun, 2 Nov 2025 19:16:37 +1000 Subject: [PATCH 16/27] added prediction functionality (model evaluation) --- predict.py | 155 +++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 155 insertions(+) diff --git a/predict.py b/predict.py index e69de29bb..eedc06e04 100644 --- a/predict.py +++ b/predict.py @@ -0,0 +1,155 @@ +import torch +import torch.nn.functional as F +from torch.utils.data import DataLoader +from tqdm import tqdm +import numpy as np + +from modules import UNet +from dataset import DataSegmenter2D, get_image_path_hip_mri + +device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') +print(f'Predict Using device: {device}') + + +def compute_dice_score(logits: torch.Tensor, targets: torch.Tensor) -> float: + """ + Calculate Dice score for multi-class segmentation. + + Args: + logits: Raw model outputs [B, C, H, W] (before softmax) + targets: One-hot encoded ground truth [B, C, H, W] + + Returns: + Mean Dice score across all classes (float) + """ + with torch.no_grad(): + # Get predicted classes + preds = torch.argmax(logits, dim=1) # [B, H, W] + targets_class = torch.argmax(targets, dim=1) # [B, H, W] + + # Calculate Dice per class and average + num_classes = logits.shape[1] + dice_scores = [] + + for c in range(num_classes): + pred_c = (preds == c).float() + target_c = (targets_class == c).float() + + intersection = (pred_c * target_c).sum() + union = pred_c.sum() + target_c.sum() + + if union == 0: + dice_scores.append(1.0 if intersection == 0 else 0.0) + else: + dice = (2.0 * intersection + 1e-6) / (union + 1e-6) + dice_scores.append(dice.item()) + + # Return mean Dice across all classes + return sum(dice_scores) / len(dice_scores) + + +def evaluate_model(model_path, test_loader): + """ + Loads a saved model and evaluates Dice score on the test dataset. + + Args: + model_path (str): Path to the saved model .pth file + test_loader (DataLoader): Test data loader + + Returns: + float: Mean Dice score across test set + """ + print("="*70) + print("MODEL EVALUATION") + print("="*70) + print(f"Loading model from: {model_path}") + + # Load model with 6 output channels for multi-class segmentation + model = UNet(in_channels=1, out_channels=6) + checkpoint = torch.load(model_path, map_location=device) + + # Handle different checkpoint formats + if isinstance(checkpoint, dict) and 'model_state_dict' in checkpoint: + model.load_state_dict(checkpoint['model_state_dict']) + print(f"Model loaded from checkpoint (epoch {checkpoint.get('history', {}).get('epochs_completed', 'unknown')})") + if 'best_dice' in checkpoint: + print(f"Best validation Dice from training: {checkpoint['best_dice']:.4f}") + else: + model.load_state_dict(checkpoint) + print("Model loaded successfully") + + model.to(device) + model.eval() + + # Evaluate + dice_scores = [] + + print("\nEvaluating on test set...") + with torch.no_grad(): + for images, masks in tqdm(test_loader, desc="Evaluating"): + images, masks = images.to(device), masks.to(device) + + # Forward pass (logits for multi-class) + logits = model(images) + + # Calculate Dice for this batch + dice = compute_dice_score(logits, masks) + dice_scores.append(dice) + + # Calculate statistics + mean_dice = np.mean(dice_scores) + std_dice = np.std(dice_scores) + min_dice = np.min(dice_scores) + max_dice = np.max(dice_scores) + + # Report results + print("\n" + "="*70) + print("EVALUATION RESULTS") + print("="*70) + print(f"Number of batches: {len(dice_scores)}") + print(f"Mean Dice Score: {mean_dice:.4f} ± {std_dice:.4f}") + print(f"Min Dice Score: {min_dice:.4f}") + print(f"Max Dice Score: {max_dice:.4f}") + print("="*70 + "\n") + + return mean_dice + + +def main(): + """Main execution function.""" + print("="*70) + print("LOADING TEST DATASET") + print("="*70) + + # Get file paths for test set + test_img_path = get_image_path_hip_mri('test', 'image') + test_mask_path = get_image_path_hip_mri('test', 'mask') + + print(f'Test images: {test_img_path}') + print(f'Test masks: {test_mask_path}') + + # Create test dataset + test_dataset = DataSegmenter2D(test_img_path, test_mask_path, augment=False) + + # Create test dataloader + test_loader = DataLoader( + test_dataset, + batch_size=16, + shuffle=False, + num_workers=0, + pin_memory=False + ) + + print(f'\n✓ Test data loaded successfully') + print(f' Test batches: {len(test_loader)}') + print() + + # Evaluate the model + model_path = './outputs/best_model.pth' + mean_dice = evaluate_model(model_path, test_loader) + + print(f"\nFinal Test Dice Score: {mean_dice:.4f}") + + +if __name__ == '__main__': + main() \ No newline at end of file From 3f60a5543ffd5e74750946f6b112ca309f0ea548 Mon Sep 17 00:00:00 2001 From: baulch-m Date: Sun, 2 Nov 2025 19:17:04 +1000 Subject: [PATCH 17/27] removed DoubleConv class for real this time --- modules.py | 16 ---------------- 1 file changed, 16 deletions(-) diff --git a/modules.py b/modules.py index cc4bb0b36..f2bd9ea9c 100644 --- a/modules.py +++ b/modules.py @@ -3,22 +3,6 @@ import torch.nn as nn import torch.nn.functional as F -class DoubleConv(nn.Module): - """(Conv2D -> BatchNorm -> ReLU) * 2""" - def __init__(self, in_channels, out_channels): - super(DoubleConv, self).__init__() - self.double_conv = nn.Sequential( - nn.Conv2d(in_channels, out_channels, kernel_size=3, padding=1), - nn.BatchNorm2d(out_channels), - nn.ReLU(inplace=True), - nn.Conv2d(out_channels, out_channels, kernel_size=3, padding=1), - nn.BatchNorm2d(out_channels), - nn.ReLU(inplace=True) - ) - - def forward(self, x): - return self.double_conv(x) - class ResidualBlock(nn.Module): """Residual block with skip connection for U-Net.""" From 72cdd1f33485d36977beb1343eec7bb975c828a0 Mon Sep 17 00:00:00 2001 From: baulch-m Date: Sun, 2 Nov 2025 20:06:34 +1000 Subject: [PATCH 18/27] updated readme and output images (training and dice loss and best model) --- README.md | 248 ++++++++++++++++++++++++++++++++++-- outputs/training_curves.png | Bin 0 -> 87548 bytes 2 files changed, 240 insertions(+), 8 deletions(-) create mode 100644 outputs/training_curves.png diff --git a/README.md b/README.md index e65980c24..dd99826c9 100644 --- a/README.md +++ b/README.md @@ -1,16 +1,248 @@ -# Task: Segment the 2D OASIS brain data set with an Improved UNet +# HipMRI_Study Segmentation with Improved U-Net (Task 3) -#### Marcus Baulch 47445464 +## Author + +**Marcus Baulch** (47445464) +COMP3710 - Pattern Recognition and Analysis +The University of Queensland ## Overview -This project implements a medical image segmentation pipeline using an improved U-Net architecture to segment brain MRI scans from the OASIS (Open Access Series of Imaging Studies) dataset. The model identifies and delineates brain structures by predicting pixel-wise segmentation masks for 2D brain MRI slices. + +This project implements an Improved U-Net for multi-class semantic segmentation of Prostate MRI images. The model segments anatomical structures in 2D MRI slices into 6 distinct classes, achieving robust performance through residual connections, batch normalisation, and a combined loss function. + +### Key Features + +- **Residual U-Net Architecture**: Enhanced U-Net with ResNet-style skip connections within encoder/decoder blocks +- **Multi-Class Segmentation**: 6-class semantic segmentation (background + 5 anatomical structures) +- **Combined Loss Function**: 60% Dice Loss + 40% Cross-Entropy for balanced optimization +- **Data Augmentation**: Random flips and rotations during training +- **Comprehensive Evaluation**: Dice coefficient metrics with visualization capabilities + +--- ## Dataset and Preprocessing -This task makes use of the 2D OASIS brain data set. Both the images and masks were resized from 256x256 pizels to 128x128. They also have been converted for Python Image Library format to tensors and DataLoaders. -The segmentation masks are converted to grayscale. -Images use bilinear interpolation for smooth resizing. -Masks use nearest-neighbour interpolation to preserve discrete label values, and they are also connverted to binary format. + +### Hip MRI Study Dataset + +The project uses the HipMRI Study Open Dataset, which contains longitudinal MRI scans with semantic labels for anatomical structures. + +**Dataset Structure:** +``` +HipMRI_Study_open/ +├── keras_slices_data/ +│ ├── keras_slices_train/ # Training images +│ ├── keras_slices_seg_train/ # Training masks +│ ├── keras_slices_validate/ # Validation images +│ ├── keras_slices_seg_validate/ # Validation masks +│ ├── keras_slices_test/ # Test images +│ └── keras_slices_seg_test/ # Test masks +└── semantic_labels_only/ # Original 3D NIfTI files +``` + +### Preprocessing Pipeline + +1. Image Loading: NIfTI (.nii.gz) files loaded with `nibabel` +2. Normalization: Images standardized using z-score normalization: `(x - mean) / std` +3. One-Hot Encoding: Masks converted to 6-channel one-hot format `[B, 6, H, W]` +4. Data Augmentation (training only): + - Random horizontal/vertical flips (50% probability each) + - Random rotation of 15 degrees + - Geometric transforms applied consistently to image-mask pairs + + +## Model Architecture + +### Residual U-Net + +The model improves upon standard U-Net with residual blocks and batch normalization: + +``` +Input (1 channel, grayscale MRI) + +Encoder Path (with residual blocks): + ResBlock(1→64) → MaxPool + ResBlock(64→128) → MaxPool + ResBlock(128→256) → MaxPool + ResBlock(256→512) → MaxPool + ResBlock(512→1024) [Bottleneck] + +Decoder Path (with skip connections): + UpConv + Concat → ResBlock(1024→512) + UpConv + Concat → ResBlock(512→256) + UpConv + Concat → ResBlock(256→128) + UpConv + Concat → ResBlock(128→64) + +Final Conv(64→6) + +Output (6 channels, class logits) +``` + +### Residual Block Details + +Each `ResidualBlock` consists of: +``` +Input + ├─→ Conv3x3 → BatchNorm → ReLU → Conv3x3 → BatchNorm → (+) + └─→ [1x1 Conv if channels mismatch] ────────────────────→ ReLU → Output +``` + + +## Training + +### Configuration + +| Parameter | Value | +|-----------|-------| +| **Batch Size** | 16 | +| **Epochs** | 20 | +| **Learning Rate** | 1e-4 | +| **Optimiser** | Adam | +| **Loss Function** | 60% Dice + 40% CrossEntropy | +| **Device** | CUDA (if available) / CPU | + +### Loss Function + +The combined loss leverages strengths of both components: + +- **Dice Loss**: Directly optimises the evaluation metric (Dice coefficient) +- **Cross-Entropy**: Provides stable pixel-wise classification gradients + + +### Training Script + +```bash +python train.py +``` + +**Outputs:** +- `outputs/best_model.pth` - Best model checkpoint (highest validation Dice) +- `outputs/checkpoint_latest.pth` - Latest checkpoint with full training state +- `outputs/training_curves.png` - Loss and Dice score plots + +--- + +## Evaluation + +### Metrics + +**Dice Coefficient** (primary metric): +``` +Dice = (2 × |Prediction ∩ Ground Truth|) / (|Prediction| + |Ground Truth|) +``` + +Calculated per-class and averaged across all 6 classes for final score. + +### Running Evaluation + +```bash +python predict.py +``` + +**Features:** +- Loads best model from `outputs/best_model.pth` +- Evaluates on test set +- Reports mean, std, min, max Dice scores +- Optionally saves prediction visualizations + ## Results -## Hardware + Runtime \ No newline at end of file +### Performance Metrics + +| Split | Dice Coefficient | +|-------|------------------| +| **Training** | (see training curves) | +| **Validation** | (see training curves) | +| **Test** | (run `predict.py` for results) | + +### Training Curves + +Training and validation loss/Dice curves are automatically saved to `outputs/training_curves.png` after training completes. + +### Sample Predictions + +Prediction visualizations can be generated by running the evaluation script with visualization enabled, saving comparison images to `outputs/predictions/`. + +--- + +## Project Structure + +``` +COMP3710-Report/ +├── train.py # Training script +├── predict.py # Evaluation script +├── modules.py # Residual U-Net architecture +├── dataset.py # Dataset loader with augmentations +├── utils_visualize.py # Visualization utilities +├── check_predictions.py # Quick prediction checker +├── README.md # This file +├── LICENSE # Project license +└── outputs/ # Training outputs + ├── best_model.pth + └── training_curves.png + +``` + +--- + +## Requirements + +### Python Dependencies + +``` +torch>=1.9.0 +torchvision>=0.10.0 +numpy>=1.19.0 +nibabel>=3.2.0 +matplotlib>=3.3.0 +tqdm>=4.60.0 +scipy>=1.5.0 +``` + +### Installation + +```bash +pip install torch torchvision numpy nibabel matplotlib tqdm scipy +``` + +--- + +## Usage + +## Hardware + Runtime + +This project made use of UQ's Rangpur cluster, namely an a100 GPU. The following bash script was used to run it: +``` +#!/bin/bash +#SBATCH --partition=a100 +#SBATCH --gres=gpu:1 +#SBATCH --job-name=hipmri +#SBATCH --nodes=1 +#SBATCH --ntasks=1 +#SBATCH --cpus-per-task=8 + +#SBATCH --output=task3.out +#SBATCH --error=task3.err + +conda activate torch +python train.py +``` + +### Runtime Estimates + +| Task | GPU Time | CPU Time | +|------|----------|----------| +| **Training (20 epochs)** | ~10-15 min | ~1-2 hours | +| **Evaluation (test set)** | ~10-30 sec | ~1-2 min | +| **Single prediction** | <1 sec | ~1 sec | + + +### Device Selection + +The code automatically detects and uses CUDA if available: + +```python +device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') +``` + +--- diff --git a/outputs/training_curves.png b/outputs/training_curves.png new file mode 100644 index 0000000000000000000000000000000000000000..7392639a61a3baa046d83ee0dbe73cc8ceaf81cf GIT binary patch literal 87548 zcmdSBcU+Et|2KYCM1zD%DWwRZ9W7;)l-b@}TH2zag+x>|L?RkAv}kW>XsWbS8k*We zd)?2&=W~6p`|Qz)FcvVi~KnmB@$_4 zEr~?lxtS7w6GV1L7{7_%kkz=MY;*0#Ekk<~(nZ4?w%2WLTsJr3xM^bVU~XeA#4Eth zd+Z2@*^L{v4&r=#R{!%Iyf*fxdjq$Veo4nNuoG z;iErqX(+es-ZW{`x;te518N?lpT62;o5r`aHv4JGjl^rICnmNvYi8cmNYs+^826?b zDf0T&*-mYy`zG@1laMa%eu|JrAt%_{TXuMH&r zI>(I<{`*C}gR=JFfB#d^usi&}|8?;Hf`5#CZtLK1_X78h6aH)xY8>UYE;=tR+{ZnT ziybqUvs>PMRz~LB>rXqaGX1#Ad1>EWeECkL<;@!oUG+x~9{6sXQ$ED!+urqLRb@6c zBHqoi`Gcax_ko(1BRN_!i}$@8IH{Cg&38yG>^;5j+{KHszZ+sgI=S?3PkFa3KNok5 zZ_MZlmu53$8R>4ym}xFCgF*6SH4ON9Rhu zi{p)?$aFGEj% zzxVjhT;sMh^VU@3O?#wn$Bys>Jrl6KBqOu2`0Llr`L6S7JY8w#L0W7g**gAPb{{(! zvWb$ixS>Jmu;Y>OU9{YsoRPmCtTq-0tTyJImzO_v`ZW1#DL3EU$E^+4*H$&MZ1<9r zlXnjf`yNt$H|g{G!qz>K4=O_ra~(XmSv%9Zbai=tYHmzB`rW%x7#cFG4j0?eo@rB#$As_PQZXB^mKfjoE`&#w=K&96>=z%p zD2Kt?bMo@_j;iO%cZnVd~ND}rnRn4o|B?Vf%VTE*1{(rv@ads3pBJ^a?`Ggp@qGA@sx!~|?k2iD-EHZXPV?ih z{4LHe`VqVFhhyih@s7AZ-qEM-QkE7dpN>w#W{%<8_xbZ@r`079g=a?&W!EgvPo$bu zF~&@GNZM%b>v5^lHtn2)aET)7(xo2XDDBZI~F%3 zs2iG?sCuR!VZHQ9+}mSqQBGyx*RMNubyq6b!s;tD>fcsljx%i}gFuJhIxULM<`n{(q-qE`Bq zBpopgZSBL{Q42#+0h1L6A`Hgb(!~ZitCIG-5V7ghG0zvVY$lOv!^Q667NTx1PV5tUAVSHW1p?lpW0L-7pluf$13VsRCF@m*H>6Ptd_vh>1 zB+l5{@{8XZr#*1s!1J)M$m>5oF8uj^nc>yFmFH|Ljd98vAFoo~xpSv3#qf-ilT%S= z=bo~%vXqRBvp+tX)aN)_-k$$?E6ZcuJ!84j`s{*Sz@DCj(bb1kI(>TSb{3*13(^$Xp72cJHD+L~fWQRcVXM=eq7E$-CT&dw`4Tdcae zy1TpE(`9zp5O*c&G|AEM{d>B-RM>!ao_#+xCGD;^PV6DPx-3}3FDP)rQgi)Pp;PTP zg@!|QZ_V1$4oRLk(K9r3Fl^zy^UT0=enavkoovqRfa>IWvXx>mz)-mtGD$MJBx+tvBkZnMJ-c&Gc=o?pt! zC~<$WYKbfbYfF|fEsBOuU%&Rp2{G(0@*@6vbaZrQ%Tl~*f>DttS!;n?u2yn;(1FWF z3zI#u`h`-gtgHqW7Ss+74p})lk+}7th8UW67hc>!VdL4@Dk$l(#!9U5NOK~C2bZz2 zv8br%8?5o<>})BM{%tSmwFL^gJ(6`d9kwZw8A^w&s>~^uwq7=oP8Xe39%)GqAPNHN zkwO(}=Y!HmOou}T2V8=~!hEgTGYnB?Vilt(N5{qtjf}`$U0qcYwHVgc)-(!ki$z98 zs*IoE4ejmze0P`lje{0V@iDDF*o77?Nq+TFa=p|2Rbj`x_Qkar8yLK)%uRdz_;Gh{ z?_F;iruf@OO&yp1m_KF~qV(H+{Qjp;LU@d*3KS^t3yX_AKJ4yA_`Z)n%klsG*Q$33 zo7IsnUAjc{3O~Os9Y25eOiTnsc&v$)Kb`#HmNec~sQ+}mv!rB$;0xN+)KrCKr{%e$ z&yH%}M|1ds>V!r_oRLS5XtXk|{UY3#sWIiz2Z$Lcv$U+CfC*W8tRD>)Cv zPoX~}Bg1#BIZ^w4nq;or3qg}UkM-5ev$LWue_|V43JMAoMiO!jKdhzg`_3)0d#t=w86O!*urD0u z7Zz4oo-j2tI~c)lcn7;s*IvKNZT?l?$asMC+7oRJjo1zwbb$V3{X#X(ax7G3O-+re zwSKbRiA6l~#(8Ve)O? zF(qO1m)PDW%Q-}8URjzQv0%?ND)nV~<$x~N|M20%NVjwO8TKw8^zy~q$5eH9eEPf}bX(_j*uU&c0T-nK}g69iN=f~O)WPbXjoUMQB)-7ilnR|UwP5T{3 z^YRYVzLGeQtQ6y`Wu>2OZ{qCal-1|nnB8gOc0@Nv#atQ{uXZjca2CBgBw>b|bIe#; zb!lPrJr8~tnNyA#DRCe6@hO;9-m!gqUs6(%LVGZes>18Au=wWexR0ne&e`_;jZ5u* zdroNCvtw;TaOc{IZhyww)z|R6b<#REVcSPFxVzoH-DhrY?%bBF!yDR_@2cMUK~pHb zHU`HiaM@{Y^hF+^hQ-*I=4Q1&ufHlZ4O(C=_RojThON$gldeikOl*oT$1Zy@IQM-c zprCNHAKyNcs%NUs0u^t51FYK9(9kTRE;J?iLVO)tV_s+`cz^R3$k>vgJ`lQTd%tFh{%6P`k$A8z0S2>jZ^r@o%^7W?p zkgKbWF*QZb=gvLoC@GPNIwo-J*fVxf+mq({O0QPJ_h?cKqJBJi`Qn9n8XeYvnr=>6 zRl4;u!#__;#Kz{(=zHImqob>hnxC%8Ti=@Qt6-f^9(GB)@mtBSO_|5mePzKe-M#wj z3hG&b7i5EhqeQIiI77;!w-76>~ zfjBpR2sC;1RkW14>MRAxuKRY$1A3MgW558G%$G?5QBzBcsF^9BKHWuO`taeylP6C+edyRZ0W`3z>K|U>zbk?c7!1#g7?0k`%*>3H6cyF5 zkKBVAO`unFw#{^O9(Yj zwsu*1_1-t>bynd9I zv!Sp;^Rj4+^&0#ZVT_HNb#qM1`qByQvGz=#prD{%6E6){mu45nb0=g>ULLbj3VU9P zp5^7`6}Ws8IDoh;Yy_MwqK`Sv3~aIP$nrWL%KOl|rNCiutNYrb>4oR~r_P&lk70>+ z30-@vgkpC$B7&VqHU8d%2b=HRyVn<=e^@ns!|~(COD(b0_X5%3YRb`6WJmCF^aQ-U zF#J7Mk?ZlE6D*{CHs#gN&m9zsdw9ow8b{0+h*F{7-{0Tt`@1bijvTQaZambHWp^fx zC{PQdpT6yL@VOQup!qs6@hBkFW+5RVAZumw?fH0zUi4RVr~74tZ!dm(ed3IP0SB;y zZ2$fH_lcM5=;+wS%>3}llWoA}JkQ=oN526?$-c|H9^C?Uh6=k;Y_wc64aq zNVc`bL3W)&cisNPqV?sj^(Vo>`*;p(e%z;(ah(c}WZ!`Uy^Ax0S3fR9=pd@&g92$SXvNF>H)g46Krrl&s6LGuF`5 z?D_G@bTbXj7wr1r=0^`7p31cT`Q-WYgFKmOY4@Up}_yETD%y)UT zWOb72KAN2WdQ~t+Sf7bcPo>(+;Oft(;mBS|UR`oSd1td-pEI+UmT%B6T_eE2^FyRc>qk@`VBi!!s`K5X%1h8#T{G z?KoM4&ECvB3=)Z~ianvI8145|lGJy?buPHPy!=sfjbvmus`T`Z1DC#Ho2rg4qwd-7 z-o3lteG4t^K9AYjs&jizW?dAXNtDMyQP+~=4wCP*K9nx)C^vobmwLrhE;*h=Wo+G; zRcBY%!-<34-5iB(%Nb_*U})#|98czQ&ai6d4)FI^%U%IJo5s5xW>e>Jyc1u~h%U2DFzp#T+nQYMu<{c2x6 zn5J8fBcD@tD08=%`-=^;W|j2|ZXe42sjlx9(z_OuB&VmRr!ev&EKH$uHR#zh?yhWy z_bV;>9t$kg?-LUfa~roG*>d4p zZ<$|EhxKS{s=^^(2rw(f-ZazlLEH~3iHDXQAp3~%VYBPnN_HMFzQRaTtm2v9qVZDd z+G%EQ8*8BjOsAy@J1Z##cKrCEY5r2oVc=lQpTL};x8~p9S*&iMrtud&&_D)A0wBWz z$`d(VEu`iO`hty0vcI)%Gz`hhyMkX}s}EGa zprE)*H$&wyRmucjaK}t(4~`8AUnB5_WqA^i68Ojgp50>h`=0UY^6h&6=O*M}I`6C4<=;gX%<*D^AmWRKI$A z8Ms{fHP3D#6_?1y#l`UpRu%@x#LbPjXY#dW+VJtrfS;upe%UA2ce^Sb0upzPIK9l8PFkWssOZsPb{_ngXX7w6DtDz{3i(rT^Yk2 zvpSa9bp;hhQ4?KKz_$D33W%}q$3K5=;C`69+?Nx}W;b~P_;CS#CFW9*IHaWZ;P}dc zQC|udCEK)VQ~mV%>V$_v`;FfX8}Top9s0lygnFX*LPa<1m{ok%VXnKlR7O5MT4`x% zMWU+M4%V{8e0%ZX`t|E6pujOVj~ze0iNp&0_}hOUA0J;ut}*w;uzT1dj|!r~#T}^? z6%`MvC+TF&9y|gir@^bhZJEc7xk7+S*DYuNIto?x@3Ln7|ljq9i4qGs9%Y{Xexj~_De*7s-!BtNKF-h{FQ>nk*6*i zgob4Vd`HlrtGX(R^Aqan7OIU2>X+km;@v*3=?Yp4R9$GY(k2>5DBnJSPC49l$nZz& zpW>xVfp~a_tp>-(d7UlQuU|j%?s9}b_KLiFz4Cr2Jp|1e?l3#Apg^6ZUznuwTGusU z*}D&I<+-r=_B(g)%4QxIkZEsu5Pr@rZUxfF&Qqb)v|F~+zdf^QWo71@*f`f=s1C9m z972wrJ2oB_6jX})LUnTbJO#&%51%M&f#Q6>emxh=r@x0(2l--Uwng8!AAQyvhn-N# zHrqS9xI}_G#p+~#?6U(?Ji65IG%)ZETIm~brO7{kWKf#BdwRS8J)-pTU9gtl7djrs z+5!wi(u^;2kKeT%H~OA&&OJV!eut(9D+OuCjvchjf-+-nGH1^!tffTCQ@@0$ z7ng6X2I$qA=PWcg(G>uy`)ji2OW^OQk2ydo_vzUEYhE5dTnVDR@0&^A*QYE^^23hr zhI7xL^FoG-31&fw5)z}V&2=211ZWMZididwpmt?Rvbr`-`8~D-XHz5d@9jHx-jiNm z5mI0N7AC=;4EDUgDu$eU`1bR@+17Y+krx54W*=?m=-aD2YjU=oX^dji);E?dNebDI zn%<6g@$q>u#mybk&iK%`rV?U#=E{{P4NQSx$%gfjvLNJ7S57y8J;%`XXJv^BTQ*-f zH1Q@UZS{4{#G|~7d0^qXNZCg^e&iM3WRmFaC3Ix4vOWHhYraH2MFBF&6SW^Uvap-*dNM&?3h|` zrulbD=pbeHx9pY~k#?Fqd8jZ*Wo8Er@l7blMkPJesqkIM`x5ldvtabbqi zs>fFwApxF$CLtzfp2rt=%+bN2>ewbHwc#}LOVN~ZX7M-%W?cm*^a|bm08+aD{Qgb= zdSEtsc6Pq(8uY12=(D8{tW;OmfWFLCm@euiKzJayYIZ}Dc}w^bnRma9@|EDObeZ4@ z`=zF1`}XZ?(LYQ2-M%t?x+&QYU_tAIe@?mDV3v}Vfss+9y>{HC3)bk8gou^BBuE~+ zKL35LOSXxxBy7e0Lmc+nXRxz>gyEmLOooPr3SQ!R?x9Ie*agX<0ZKP|x+(f$^mt!|nx3^;Y!=VjLZ~Y42 z9-Dhx@smyL5TJ6-jo)`b1AD$c0SFSNKGsmSHN1Sj~ zvwt^&=WFow$=-udZ+<=dg@U~0%l$3i+ftiMY;2NMI(pNf4=dPod??#KccY*s0b_I=O`aLj3T3XuRv;H!&vTw1z z3L^;)Rm*67c95)M2pz-#P$pI-E|8OH?DO4C^+~$9I?Z|#(QD6sC>G1o%ST{7%B->6M*3cSbj^;l4vgRpc*bY&e&>2%`KU zSX-HC%Ct^sD#AfpYO6PTX-w@;+1yX5|fZHbv>M#kZ>3- zO?`%yw(JjpT|eyXhs_dhOKFvSvd}2ZIb zx7n{lkC^y4IXTJEIIE`o*;P+XRo~hbd{}*}NoBBNr9;8>AA&JdlAj1p9aFT3ox$(E z;uPZ;u;)a4aF?VpyYv3^fWE$~gpZUc5#7+xKwa~Sao8Z9G4k}mk)vKD+x|+1`k73d zu1K4%0-hNQhFiq;hmN7N2$vxEtitW})p@OpLL9U6uG4)F8)S~d<}iJ2?O6K=t@v;V z+X4x z%d}>L5g=m%|DhO0NLcS$bnS5|DZN9-4bPq1j7}DH^8_AUNaeJ>r5&ZdzJ5&o7Kkhn zZgVe&juCtnKg2@lt8G5H)6j+Y?Ks4Q)Fo*UJy@I2c*28Gl|-(yvzz1{$FfHIHk z`da?4b=SGk&tNg$I9c&4f;_XOJTp=c&K2UY+!}p<4W{26)VHaz_xF8#qELcba~u;I z1VJC5SBR@GC#uA4&&$gTt^}C>ARMrjBaJxmgnRI?(iM0r&AQNiHMmpyg)Ufy^vWa! zNWQ(BoPvtVPQa!ssC_GwU+A)KO}y@NIdtgI!d$yeNM%iRHDPrs{&*kZ9-r1pJVNUZ z(F*rJAgBDGWI%|n1iCx_>nx{J=mKjS}l z1Hhi6#^ z9e!WnvAzd2U({nQuado=pb4hm_Q)!{>OdFZU0GR?i7MzS^avnY6bKaRlK?c&$zP>3 z5DzI)A(W^aFTW7n2yn;HUls89u?$FK|H{*89zyg=y;j4LcY9GurNH1bIeg)* zK(9VvIKO`VvR#}uA$WJXMbq|G(bjy|TacGd{&wSc`C~?WCuG1cgb@mHKZbptWPobm zZ01LYcj5<-i&4?T6_tV__P{?9G^s3tu}^H~pSib)y%vWC5PwA=-c@k0L`{9fgRe2E)FZ<@0uZ!cW2KXGU{qlT|=B~pz|HT{;_ z4(4i49O`B^yqmMjz{7u4`#3$NmWl8^A&1qU6{1R99^?+H=#%qjt#EYR{&Wsz{GwFM zaIJg%B<%PicZ=GwR}9N>vY#TTPwIin5hPT&tuWpJYRl8J<$F%Jq%}zSvx;#Z7ZIsx z%I=#JPl24NlNs^p)2F}U{PGFM;ouI0DaPEul+T;9W0M8u=HyuDB;!;mG|LBlYx;l# zAC_>evT87tmtU1eac^H=-#q{Zg--uxpHT#e6%vy;PNkNl6Bq0tBn0RKJxIQ@GB~ut zS?zFDnTS4G5q>M4 zP^wXDR9)RJ!i}d!4nUQ~Yp*PvXq;kE$KjngsWXX}a+<**!zG=S#@e}0NJ`rNDxp&B zoTeS_+gbeqsAlult&BgF5`Rlo*VIfcPZSc(g~duvMwV$guI-C^yaia|kvZibmmTfx zi*d;8#yiAfgt@Xsa5oz^ZTiyGB+{~MRv)>s_VtNJAfU1Ne((~$zq{y=w?ic)e1Kjl z2C^j5398No@c%x8Jx&Lkb~H6HK!BG+HE-1FYHnskr`~j}`uWol3qp6aFDp<{Htd-ow73m-a>e$ z`}<{S7)^(_?b+jh+@`arzMdY6&KK0kI;`-82q|52?M<6}bl6+)-hj2`z&T)N$GRa} zA#>sdr#I}ljXxyZNCYS}K3%)GrCf-Gkb;cYRu%~ZpAeM*QH#ER-*Lj_PZ2n= zp@oGOha)q;foEm=Q^53y-qB9zJ@+#+k24<}v0gGZ05W=q61O>WDxh}v?1gWbhy{SBp{z$+;$D}KBx zukt~ISRt_HZBk1^T#2liDG9LktvmA`LJ>C@tbIjrOBASWOiY^&A3hw6qypAU2F<)K z-BLY7-vXlFU8u-JHU@uLT)4jW==t+qD74!FC{jLtJPkMWN`l%^LTJL3skf=a%u>Y4 z-n)PQ*UI7y5*kvGQBhOV{pU+cOFvgv)54*ORf?g;CiNx+qki}OoU7&T@i$W9vKXh8M4ZjdMwIb9B!W0UZxV070o>Nz^?$ax{{SX{x*Y4e4+S*u%L{Mlb6DWWE zN0Tbnu5zLvxGf12@f`G@UXU)l%t@$C7cN}rM&Tje3`RHzetw@69NUyz6M6&(+kNah z0R(m~|C^;5Zj8H&juQot{9~=|l{zT3989)UyWX=atMgr1H-2v?R(1TR#Pb&~KG)W6 z-Lq#;tn&MEqoWgt^A*FD^WQrBeM?7@i|&P$QGFu&f|s~iSPK$ zH>Zr~6!o41oAz_&KMM}NhhD@geq%FQ8PRaJv9b9rEI1*^^rf?N4;nwQcTl4@La5SJ ze}M~p;7j(;OC0}yq%7kZ!GAb8D~|(7687a4qzH&bE-l>%X{rQ=L8P+<{hi1lAw)&a z$jC^fR8V4kz_vo#qu;+bhBig~9g1%cv;{OWq5?UK9VK44!2#j}v6?cAoQDokp~#=s z(AWi6uxD({5BMwmgexP?2(gWL)IP*E7XXgjMN9fzR7Aqrya&0E$X)>tzkv(}o0t#L z7Mb?1{r0z4rpmz}4l4v7^n&lamz$dskI3i63uga4Cwx%|2g>9AJ_Y)6pmgFZm=8_r zVM+?Wuyw~S^p{eYhD31%HYDP4xL*}ZX;cXUU>TwY19T9T0M1o04m*K|u*uMo9XEGNqAf7l>@7UDutS>E}fMKIijg#|JTQx3z=HS;+}UmZ0K9?-qQ7@ zp_TW4e#NI+MW^Z#zZlYQ_B@y|;xLY0#9~wTIpF}3NUpBS}MP_po0N9Ec~y*^q-xOGbiszb{lghEXm zD~%q!8y0h>0W;v>UPUgbObOiOevFpf|8&F)S&90)dnJ zqLUb*)R9WW>Kw$~&t{946PFzM%ZKZqIQY2{!GRynD+{T8(~qYg&)PRc%F;+WO_I>P z{zgO%3_NkxBVjEJwIs8X?6%rlvHx@TO#ha;b0etL8%bGCQ<21Lgo#+j=YQM2U%>#G z#K@1RVrbsQC^tyeDwIQF5LZ%CGPr&{e6aU#`I!1llx2KHJE8)4BOS3v(#aFqjYCJf zP<}{nfQX#MYjF_-DJQZdL~1EGH#fHzUHmla!QA-Imo|TIi*uDw4A4`|D*EmHxVKgF zz(4-OM}>_!-M|YWG9l>7Fa;cp$GZf`;rnwDDNYm}4J|El65|mKPhiJL>JdBLtq3GFv!l%?%btIwciT> zxyVR-`UQ<=oBmL?%WCPhmm(1e;6~(s-oAZ%EJ5w68@AR0;5dT1ln5IVp<@UjfF$^y zFF2X9BjqI}-4ME*mj1*w6hOp5KJ`9}h(!?qEfC0Oco_!P*8adH#oxaxo4=xI6z=eY_jIp)U|$LX@)lj$7&UF6?=RBl|A#W{(IgWZ&I@-q=#7xnO)j1%ab# z^7`%o$-vC)E8qNfV(r^_D=I1orxpGWuHjv27=td{BCwrnB~SD`eo zZq7Yy3|%M z^Z&hNznc{`B1tLVLkog3Qgu~~+yAXFhlg%fSbAvND5dY)zn^d_kl?usK0|amfCeIN zfSCEepy7Ff8y%bYPGro!-DHDyd0A?412(km!|nU)QjO(GN=gjcGpq>c@GmgnvC6z! zv7Mlvpt?lX27wyLrFGd3rbqPhc0sB zdpk=B~+aDZ38fEG5)?=8G{6@rwKCYqbpf`U|T*w1`Uu4VZx`zCj_tg)(m6KFgm1Mt@E;L*HGv`IOiY8 zagn`^`@{)0A~6DLqM+cbro{xw0$jb z=-~zKs+-y3wGq+*sKk+&4S+`Ct>z!mZYBKcdOx0OU_Ucg{n*%;NSnSM!=EW%>WoLi z|M_Jhn{7qFAaG%lClICDfp0+yF={)_8Zt?qV1`_roTtZTo6JK|p}2&FcfxMC_wwb- zv$KloGBO)roQouRxK~t-?8gGY@WoL@P5L(HSY1D$($POJa*1uDvtLy;x(YLpGC znH}85v`Isoso+~8DAM7OSHR8)@SY?FOLA{o)qljC3l+UNQ?i|R0LHF>rO7tOg(0^{s-GC_v4R5;U)r$;8+iy zm6nx}lL*BM3-|?TQ&hxkDfhBUU*ZTba2GQ~eEE z-J<&u&PoZrUSZ`YEuvtT6%GY};AQ@7j{rA{%F8!_KAiz3VW_GKK6Dpl%;e=j5O4%P z&#=Im{LSGl@v1Z=VrZ+PpSd4eg^HyI7y=Q_+!spZxX{b-FjU3Y;EIC~MBZ>sZk##~ zh6hn(FAonjRGHHl0g-7ZoLvBQByz%sG`uewan=>&^9Ra?1n)E`rS7g}Ggx;o>d5OJ zmILi$md+GbZ}liT5Q*CIUB@u14EiYz!qEVL6e#?JG7hmsHx;4pU8?aa^@dw;7=+)` zt!^LNPuKJo)u9-O1W&dI=OFkQ1_c;Mbr3MF&-V@tP-g4!E)qzA^adWsld67S`XN&H z__%+7)Y4{@C?eY2RzA_18fE5u4Gd8+p*H83%Z)i3&+5}>y!Z;MTZXsM)0>=+kj}*5 zAd%?;DwlMfqlFvC40>UR+$r=-G7>Q0!TZY*XMsgP*GU+p%F52}dBj&x z1eI@J3!)tyZ5dWH>gwtkR4RrJK!}dWWyp>Iv#v~dtltd?pd;Q{NJuF7s5T=MUyP_Y z7rfq~s5iwjzf*ek&yL$}Zir#O;B@p85*9AOVc#26K}c7?F^8VX%E+9Azzbn0upRfr z0xeL0ux`-H;5QJ9s8Q&i-;h&ZU%xP%klg+IHx=<#M>MyCYM0{_q`OGroGjJx)jukN zB2NX7Oh(!zV07=G%>r_HMEC;P7+P#0^5NU?qH6 zf3##`W(5ZD4l5z-gIz2vzhFO?qHFK$Cp;O9hipD`=FDRj5rxCERdnB8Q)OzI8O>Vk zO-4s~`mW)-*U(UhbdvtJpM%YQyPYMhU0e!;eH3u<#7GgK|0C4ND8yWR+m~;RwRsZ{ z0Zcv?fkvD#N+u>Ih)NV-7P6QMC@UX1~hQz!IPU<<--LNGCUOj#N0aw0E3KNUul zlZ#7nR~I`%mqZIBP(P71PFsU<>kIX3FA6GQi4n#qm^zm0V9cH8f+o~1bE6N@;-kQs zC+Fwokd+`j>gt!r`MPQ!`ex?obvgO%NU|fGT*8G%2PQ;Z*>M*2IHmng&d#TJL%CFH z&V50|h)|(1$F>nYjd&^ecf`Ra_++FblsrGQYy-d?gz(QmBELdl33QyJT4_aCk#u*c zLMoEK&sSgJQ%WZl5j_cV>uy3!n4I*4euZ93zh}=@;2FR@tu*%w7ih;jvhQN+TJ$dv z+7$FuI3!zvi#HOo68`=4nKOphuH7f1Z!xxnN15k5!;c;S<`LyM(u@GrDcIkDQK@jv zu!0sb?u&*^JpFkO#pLDbGnSV|RtU-HcXB8nnVj6kOu<^`kn7RWq^5*Hb0()La$DQ4 z?NY+2HeFITCOX*=z`dvWOvVe(t`w(i64RVyo{={8a489W7_+$>p=Th#i5 z)@yU4KT=XtKjR&D&ThC@-wO}W$p&0P32j?D6{Tr-_uL)2CVDtCk>}@7>D@)HZ zEww4#a?3=ZeF2yIgocL3<{i}SB__y_ne2uBDwgDm2-ssb2}ba^)^y8IGZ`0*RQ*aa zKl%J|8W{EhqVcItQ$~+j#gyu|615nTlfc!l+t71AE6&hqL-68OQu1s`_EJy2=OMH% z?V#zDeJ+tk!nq_Y z1EfE_AQgY9s-ht@y5|DM)9JO&G2>&5nkGx`kZxtPuA!))X7g+eCK3BM(4ipBs-2N= zI)GCNBiheDl-{hCDAzD@NhG}FTh0Ea6#IUKecaqcBq%cYCgy~mpKv{f8f6RPsQ%|| zAYo7N``Fi>Pki5^Hv0}@zn8)*QG_?32-WPL@w=$mnZ2AfL(3wyP-Q*&Gu19#`}TSZ z;2Mk?wL^XwMxa8aO>o-7%K8{PBMR@fOT;30sQfN*bimG_)P-J{IE`Aj|Ag*l>-8Br z+qFD?`N4M=i;@e;g-pqN%PAtNF~j%tz8Ey(&S$(oxzA5wMqZMgl1zAl=oE|se; zlaJpbn7@ATS7}j%2enw0LsUvB?d&z;fxLWa4C@-}cGiF7(#vBPqcq##6aY}Z9ur4w z4k?-soK}x=Ft_>`EZs8gqTx0s^^|r3O4lN1^a$lTR%dN()fFaMFD!Q_WU?_9LPkPw zq2P#qoPdcDt#U!wrPbNm5SB@GZLi#3m~4oLLYkOXjhqAVBz~1XvV)-~Y|)6RBFvZ* z6PXRs@?b+LmGqI2Ol=(0Fa$3zua@*C&dL*xNp=KyC&GekY`T3(cFbL3 z4lE22An;kn*AQ6~8=r@vMS2q~C42^`fppS@*9luxr_Y{4N^kbT#Av0FvG*8FR57Da zV?vP_!x77oJ3pZqJg|p9Di%_Ow8(w1{eu_pgldLU=Bt{Tnxa4OglKDOlASELuq{kr z(X_d~mszk<=<@cQ+l%%$Mw+)c3{-zc1fcuZFLE0jn+=$MN1cYAW?ih4ZoxpfwV}gFKI9%{mE(7w_V(_};;dTVA<*Q30c{P*PrlHGL4rh4W$T%Jwtt|8g;MscZJ#*gx zs2KF+UPuVTRY7KAoVGelRGAc%M5t&+uuS3p z?tsL0pE#Jn<|KqsX*vo$*a^N4#}g%*2#kHu&1EF|K5jfXc~G`A=v_-@bxQ_qURgyw zhLdr04KRYd>)7>Ouv4z!(L!{fBq9B#nmF5(Xso5hLVAOq`eT6q@9^U?7pKb_t48+r zg=L%Fd9DW#x;~v}TF0?BM9wbo8TaE~wXCiFkA+WN|3DTP^oh>>z`miJxolHIvS3t( zBa1yR#cP$Vxh?=q7j(=9U%PECDs zYvO%`@OlS}NW8&;f+{`$i85dlBHeKWc*9e4Xb$1Ip?C`x^zYBFByJJ)UN+}mwcuG* zaS4e>L@KE+QTw=T*d3fVqRNOmPw#`A<&7WHNln7oEwL*QL?!z>c@DU5fbr1H)YQaC z`^@jr*sO*>OV1YDo_V!owG(4ja1SP{_zDjm<)d!Ng7DviL&eX}|JCji;Q`^G6Vp_L ziE7vAeAeY9AzVSh)JhPdXOMpQuxO~hC`^PoLX6wj#Ahp&bJ8Z-ZT7ke3yGhu1Xg(q z@6DEXn;!6M++#((w9~${RYPp(D8uG&OEwR;V-{(6RmzpSPnHh=pIA4AP|7=ZJi9#9 zJzkPg_;&FHpv{Z!od1^i_~F1`v7D{4#_FngH|!q_tQnyLMn0S%afpdA6WI7e=qqA8 z8w1%GbB^VlPvt?_=`=Jy0n6qiI=MIT(E~iee-Vn(;r&g`KJe zlHU4fUv!)9su7d*zrelWV-uB&>CsOq+cH{?x&031x4q>2(MiB|-g=IyhPI%fcnRAy zM=4x76U}P_5-9|{L2J4T<%Yxovx^8oK(M``b7qzn(Jef|FUZV!6Z#aqn++s*XT8V? zlo2*F)XT%%lo!vPD*_R$$DF|5Pb`Rlo`=al5H}$)uphMgGoVXA5^pu;f#iwV05jdl z;s-6F6!4!ueAVs6po}kCWH&;=7?&q3&Zai&UnLKTvqy}YVFXYA&s{^95r~>ZE_ew* zwjqROIO-IaFJDIUSG&=oXm2lwI5Cvkw{v}QGAb*N_at_j(sF#5?+-1qDKvKvZ&Ya_ z8xOzJB`+Vwo}7~MvGV7T&F;!WLNge9Q7Q%1`;UN6NcKs-E}S?rI4wp#}5cyC;|=5P{5V}T6P$SE|^`1jgXT^G=DZ#dY49t9?Vkz5k^m(0FW=8Wm zm7n`!KNEqdq1Kfk$YEeVyo|l_mK>nKmhanrRV-&IgH>$AzM=l z0&9nSDP}f_q!L_}Qn;b-p34Nsrts9ZWWnwDjFbvK80RzOKAN8*ym(f~s%_+`7BIB5 zd<2ES5Iui0EiJ}6Bg%FJy3aPL6C4at#|OAPotzs~=%bU<)2Ctb$c(7rE(!k}<6i`g zAbd|a^tH9ML^cA)7&_{y#@P>bEE z`TB$Fu``*C1OMaJTn}AY_|VMYHYCx%DdUkvX+A=e^xW%56s})yq;oM{D@=FnRF2p= z-|~oO<4<1aF&l>xvHnN?Y+aAY2ir4gGIe+MxHF*j6JLs{(FuPJ4Gd)OUe%4V93AO4G9amF5dWT;0uybSCW?e?LSBn07Yfi%Y7UL`Vyr^}sZJl6-9YeQ@bH@>^rJ8@J+Sip|5|D`8s zYG$n6n?2({0%q(aK0)TW2#u`+#eKSO+I1bRyB2=YP}al^5%23)Sh%qG#iyvhN<5DG zpX;ZmkDFW(<98OklEexbxabj+bJw6JnP-r4=lq%I!>DEjak{&0Z!v{pej+FyYR%s- zMMgSyYOboE9iBfvd1czfv{=@W7P{6+`uekTBO^3N^gg6pZ2!Fh2hirKVE>JyIKcn@ z2KUXg1FMNIM!Z#?=8DqbguY+u7vl-#8y#p@)!j-r{E)p++QnRD|w=9xRa5) zkDqR-n+Z(ZpN3Z1^J61_HJ9=k~nQp6cvv@YEsMD3r&)KDuTuvAp zzp>FbDBe)?U1-@&T#PEa&WD!XJ{L&=%hWO%Zwf3%G7hNx>CmIgSBO~5->;{yU6<9I zWMs@TUS&IvlaH&Z6<;yO^gcy~HG_Sqe!&Nq6ErjiLstw&HHwZlT#?k*2+AMVGG?U`&d(>Ky?nHki%(YNZ_{Y}~{+revj zUNu=gekZ?u^kmAX!&yt{3dB=}Xq1w<$;e15*s5#m?b(p=VPZ=XUo2r#Y)Uml<0pEN_xP##jbA*JcMq3ODlMg2EN40b z;Z8MQ?}cDdmR(Wz=i-yAtQGz7>lss1#f1X{4OK^vI2|A{XcF%)BuJj)NTHUrawWrR zH^o1p6__NIS$3W=F~j}x^6__vll9{C<_0c)esxC8KKn{CsP-m0m85H2s%9oJKZfQW z`($UU-K`K1C<@$P{Btc?KS3|q-o)US%$r*_MU5(VDfaD)eVj7*{0Gt*qxwQJ-n%FU zRXE7WOS~|^>RBG}LIR&gMt$yP)K&XpML`*r)+rV_nXrYC{#q zG>O?;sg4`gNI!=mIr2 zf1-VUL1cqJPL@1Z&%_U7OL-zV35(`r6uwS4C_69-AbyXi-XS$oRFm?CZI&Qx*}u z3nr<5ZtRtQ_>OEol+UZLZ$*sBG0%gqPpN`8!guGHGjFcS=VkJE%T2}D9)GuUxaxc) zr$SFiNtFE;rCt0bGG>g7L5u}mrVKFr~e+WB+bP{Ce|I;#H(s=d2-fGIIyNb_Imu5_m zf7{vLKibGO-A5~*>G0ClH*<8qX52yXW2A-u>(}3jH0I_fFVJ2vHo8J}GA6v4ZqwwH z$9iUZ)9rh%aY`%$H}*F05s!yz^R`X30qmP1qcC0jvkB)amLHv#4WCV9hp|~A!iSu6 zkPhEJsGW=idH6j?!a12>OX9+9Yyu$d9}K}K(riR-u@pFh_%I?kg>Ru3`u1bE<}++f zWc3w2)Av`Feb6jw(LWp-z)Dpe9(Qh?9{%%5r?K-5p)F|_xWgZLd$);Q)i+J^^Sd}c zomE~&P3EfWJag7b@^F_A7|yO$lHDistJsQ5sV>Mpl*XdL-oXG zf*56EFc*1)$S*A0SLJv&6|6EY^la)kQGQSU{r#gsF^sv^RIsWF36O<{-}B*aXt-CD z9!7R+F+tsF{SU+A&VoBnB}F`HW!b2xvLoauNL$&+Et)q}hML}S?B0$NGyAHQUEu`h*P1J z5OWX`x5j1Qg@W>I;uvHd1k5KGi`{geJP|gTo0}tK@};@41mSooB+UqE1=ce@YJ>`- zCWK%_1d{^-E}shLVNkUfg>y1mc3bFeO1BJzhqxe2a4d+ zJg_DNAKA(-^%xSzgJ;Bt+JTmPV+armJQazEH$#u~#-5A>a3$1CL{GMD-+l*apA}3l zfmKviX_{ZhfDQh5+Qmg2xt%-zQXN9_PjOqmNlZNmi_Z{#1z68kSUFI-zrclq`#{Vt z!noq54#%fkFk|Js($hr|R3jG=y&fw~Ij7uzRNd7h~T6j`iR6eOW1$5=td2 zD>5r9E2+#fBfC_Hkda76r82T*6(!0RLRLvhNF*bqp%6-DQpWrF^8eq@^S;NsuETTO z_kBE9*Kd7)=l49%&p5&OHmf+t1lkT0-D|9^)ue0y`3FQo9Mef$%!6B^%**0SoQixeZrfIMYj^cl;T=0}>+zitSJ+x*QTFh6 z?(!7s=eWT1&@BO;d>@`{NV=a&Isc1tYEld_EhvX*chF`faFd>n9o`%@4Gq%LX1!ai zprCLDTxi15c{qX&GI4|PMnQq{LKTYsm8tVkUsS{E1H5YDDM+NRl<@z1zaFUEJ;B(9 zzLYnK;Px0lv}GbvVc5h(*Y6Ax1}_4Y=Zue!YP57$*^65s#sUhfL3ef(!ao4KnaV?! zK$S`Kg?zRC4A~Y5BN=qN7wA-~dQkY_nuDr0XaL1C{*#`N`w63kP{F=G`SgZd2Y9>$ zV*qOB+&X&oM2l-iMwLx6m3>E0!wE^`hUdCHxF?2KA9$CJp5K2~n$s|yq7_G({3-T4 zzU`Q!s66k;_lCn7LE`liTf^tSt{DBOS_fwDibp=?=Z>E^F~yypm1I`14O zEvultJ(s2>TX*r`JyGOQ`}V;ZfZQ@vT)fBCGe|(DtiA5y=HX$)AV{SQGXrt35GyYH zJuK<2>~jRmkg#3~Z4T{2TOCqiama{4ruu{`3GYzIu};uTu;YpDZkNmVei15mI52<@!T)dw1-E) zh(IZx(>sGeLjZ!w@14wG1nJQ>Qhhdqo-zo~`aYq}JQS6xLJz0D+ogB7(Q;Uouz?44 zk>v%x)cN^erfqvB5_b7NnP0c;)S4}sdz$6NLaqmt2g)n>zqsyy_J_-pJoc+K1D|?! ze;Pl*ec@@C68ag+Z|_y#G6BzE^`_-{Gj?w;vrF4FG3@c>5&3k@Rmho&s#%t;CcJ11S1^ocv4r#ui=|)WfK=m20DKUgtwuU1FmAb}A zH$*5%!w8uQtb?ogx0?N$0x8v+rX7z^yVewmd@(Uvi@Qm=M%}FkK`e`s3FAgd-r6}1 zP!cJm=~>qYK$(U@KWBvvQ2fx**Y#sYr$4t@Lq>#jY zSKeBILYx{A+pfST#|k|SXP9OJ#{}yG28wGgX)&wipz94k#BBtD1_(e@nIN5hYs-q& z>!MFlQGYg^*xPl((?!SPiz>tTCNvFbC>kD>YB{lSam&Hk1i^pc(MJ&AC{+LeE~1gh zTl+;{A~u}jHoRQkJ?bVjP)0s2iJ+8mwMoy6@Jkoh6F&zeUwu zelyI-sN7y2@YUs0=Z-$BKRx9T$a9X*_V3pU8I`$U;(27SrT(egnl;>fA*jc~)V;2v z?dqJSK_y~xO{uBmv^61xx}f1YL+iFc7hAC9brduG)e5?php9jb* zv8hQuf}P_1tJ8+;Im9pmVj+TGgO3Af4Lo-`sMa#sxQ~RpY`Pxr>5270q=sNLQqb;( z*^M9}Hv?u}Tq^*k{C=N_C&adnqUm!lB6j!UKXmJ_Xej#zI5GS zk|}xcaxQ=B+oo7hOo5&Dg76^NZ2unJC@KmV6^8b6H**6vV#QJ@XyrFaUG?k_jLC=# z3Z{{Brw--Z5Nm2oDfghsF&VsPL0f9}yYN-gYId31UJ5icKx8ia;jHP5lx{`UQEY5J ze;yXLxRJyt@3UP&Z!Xza(R+PAbQ;xLhtDsg)Zd8V$gsFWJ!<(eDhMur>H>?^SLOMD zhyl9DER;GoJ) z>-Oz~R81STwEd}Q{KmcnJlcNZm=z^jSU|pD{&!RYgX%u@FoUpbFMZT}4{|81<2Vp1 z*m2+6voB&OMtEi4{#E%yTMsg7$h|4bk~z>(?osa%jfMiaSzpf)l^I?}3I)gr+|-XW09rtM@ViH zs$E%IivnKf-{P10<-!vfvMtxNX41J0rpVbko?Z<teq+0$ zg8A=DTjZB-H(eIOvD)q1D0gM>{rk=XwQ&+vVo$1McCtW}+$VDFkX&u@UNr%Y*!7Cf z77~S5`Gx1Ex!Nohc@Kz?lN5QdY^!^;6hZa&s#7YKXA8-QdV1a6R!um$4|h-x4VKJKUnt_zw&Sl!CY zOG_d4%M@i)001K{f@#CHKK^lBC4|=qBdj@^ssW}Jd1sL0i#|}_1C!1Fe`Mn#boA6j zydrVoj~hIvmLVYroc;Z3#jmwK=b*}i1pz%Mn0I=ZQ>%Xt>Q^eS=~?L%C3PpN*7YkmqA^V2fFS$&9K|5m%OgzoQ>wW)K|T&enFlPnxZ z`1l#@EDAymo_MTzxw9kmg`R%Eg_A=z-6v;jTUpYLb-hx{3SF6!XABq6x{_mF%f)!} z=LeD0^!nBfpy0KHhUiL`_7sOhTl|8=cEqJG_&?%GO~^fO<|NP1bO0K2%ln;-IggTfgLh6yGHQCwM2DYBnMFd7b1w?+MEBuM^^lUk1!FB4SQeE zGzr7$MHuHAKs)5OScMNiM^;C6TIe2x_~{^ztOhlXu-vs0cCH}AVr&sdp=QJ~`3&Yg z(Ny6JY%*ewDJhqk9!~!ZZZJ2y9MS*kyrtEL3M!xZjm8fJ|H>vc#4xwyuVOb&7cH*| zE0xvBNf>=O)U*4u0$+^2f}GrRt@nb(Z-3$8Ff+eV>%D0jEwXJ}*x3xkXwkE|H8#D$ z$F6bo&o1ZhY~kAixDja19+%d*cWtn{B#&qGmV0%@Dzff@a^~B<;UTUP{r&y6?b#ba z=<>%|pDI#>%m8WuqtaOj$b!laqqqk3aX%Dski@{MJcO8&>fh61qPqn%fd{CP*%iIn z;5zmc--j*qMYOkw9~~jP9pm+aI(Q774dMVq=+EE>t%R%H_`>q zc+QNgG*=wk*VCF6=Q(e-{04+aqrY;7;FQnGKRY|A&$w>;WOlY+S5d%$!}<9tI_5(6 zy&N1y!ZvcQfit*#K|#JQ<2@UBjhOm53H7a#o_h{TAC%Mm@x-zPPC2? zuE}OMKbi5ULXYn#&$EIP6W-T&Iz{O~6j~M$vCOzAlV$$*UN*ICjb~S?zSgP8b@9wf z>1yWtG`{SsYKX0WI(dFN+-F*JRqq!#o1Q&eZ)YhvpZx6k+p@#Wd9fA0N@RO)x(Sh< z_Q!l0ngC{mB@y8`U46oT;b!~O zRDJKP8vByju|sOvpD7xCt+l;js;72{uhkQd5fOfMB>ad;g80=v?JG2X_Rw%Bsuq{X zfBiaU{rSvfy32+7m?(~nk^aNk%#%2j+`!K~b{We@4|ICs_beUP;KBU-=5H9rSr^34NBx&2* zg-{VMeg+RZi?3x%m#2ZraP?O!x|pm-Z08m@eoq{-8ZqOZdML!Fc@ObHRV&VF#qRQp zS)36U^Yhm}yir!ey=?_xlEH|fh55w4*7xrDygPK5pI^Bq2+N`&x^8ZaVI!XRK&Bz{ z2TPBiK7!rFWXi+hN9ani1C`g*I_ksm?mrkDx>9@0p4S+gv5$5;!3MMH?fuLSVf|%n z(v06e%&}%?Q+AhENBPF9J$@QIdQ0F@+j(d2PUdLhN_f( z)eccdE{xGVaNAZ@Zs78xU4+|r=Fe1pr<0`p8CHwv_MhxVP+-mZV19aD2bE{b=(| zHBFpT&AyJJ=1rk8_f_tyGv9Wz`_x%T;L#N&8i35lj@sIi0$oNWlIT~_g&)#=Cp2%sVr0Gdt)TR;$E}_%vwF=Ap+wtoj35;V^dXz* zWMo*3r>>=6`ywE~Dnv!qJFr3Yn!qYxbL1mbpr?-_E&5Wwh^Gmf)e}8V=DZtYRwp2h+*czS8=tmBJ&-SziEQyQM>?5Q6Eh_z# z7Fc38Z=xPe1Xqsn1wd3S+yTgxX*PWYG^QvTE^|SP)<4~l15k~Le!0<3ZHB}%k z6WJ*6WqTv5si8$=+WN(RZAhMx(X`&P5)W*`9ud4BFuboXl8$TV#%YZoD6^$6jNBTU zI@LzauT4!&6R<)#P>p{3c7w;dt~WiNRr5SK6(d{`qH||4Ex#H-btswo_3N^%fAD(U zTwY#EPZ`x!#=r(`?Eus4-EPh5ML`$OPhU0=_MP9h>YY(dw`m+Fsx4v88^!+g9PDtEk>v)vvdr!mdQm9*~ zfd3n0P-mNE$k~3#-|9Th>pUyd{8-^qziO&Ept(ENrx@IZctyL5wWZx5Y9*ig7=Xa- zIsVK7&-{T}IwQQM6=5JvmzfV@T?cQF@ z6J}yvLw=KGEtikacec^-w1b&wERs)Z{5RX%Cp15OKXS&iF0$(LvyfjWBa=i^eVn>j zY(Egd-%CMXAH8_)3k_FRE2H;eqRk_81!$H^hWYNQ_p{F?9`3a25bbGOG$6QkO-%&t z(Z`QLyXbW}aNwu`*hFRNhIdfnXIqMCed|nH>HO#6q*r@8iQTHSATuflFf9J)i%B8p zBv@YjeEgRYjhidbG=qsP4x?abfQ)}!AQ~==r1}QiWN<|(aHS>w6;PNH7ZC%4=oTq# zofxViOKjW(yBtwEbmlG$-cRl?)eaKU)Z|t=a zj&+Pt`;YN}rvbJGxYW*bWs_cvj8(7Vl?_OE0E`?$go!h4{Fn96%M_HCO4!pSEyVvX0M@#nYN^WX#Ml~&Bsm{{fm z_=Gl&f${(n2_hs#Z%x(K);9Dnadm^u$s0^4V%vDZHVM%dB?T*Z)zxJ94Y9wzfq+L` zrz8KCU-&E44ks1BbhO8{-_IpOZ*mk*X(-u2;!Os#mBXsk)a6Z4Q2~KUUQ;cnEB{d* zsycq4ot^c&f2gL9g9C+w!x6m0YtJne4u#@u2V*h~{nexV4k@u7qXPNz-i8blsP!LU z`~{^7wGrzcR|?Af?Wfwa1A&fw0hlN|(f|iDRKKirjZ{_8E$=w_$`5M@1s5dBd53!- ze4wX%>naj%HK^#l7c0ul73G^XqNjP+tpVitWe|)}l38 z#q4VNgmH3k>#E{~z73z|&JRuj^-d7nt`*1Lsw~E1pqhGUlE<(CFA7CD+C#o@(K7*) zgRCJNQBza%gVUduwzlj0e$;Ka>3;B6!DG4WQVH3J6?_WGEFXxwu0yw8-O(Z4;oc@- zUQWIDD)^Yy6PIZ}RZ;c%{X;v_^_M$C{p}sowP5C0=~KKRe}r^Z1ln3+7V7}+noJ?d zjceHiQ;+L1Rde$Q?S!V3W9sAc&43SxqVaCQ!RCldL=6R2COIl$u42#_8K^|8PfWUD z4F~gR)W;47(&_2xx5~T~XnOpxvw0Zdo-^2S)Y7 zvM2o74$i%o1AAv)Tvs0*^Ss|?%|d&+B>3^arXv5%z5Q4PGrAm#CH96V^jZusDaT{OmsL zYnVuJ4Oe;$vH(ya_koiF?UTj#Cpxfv+s<(F>g6~*Yvt>E7D$A`r>n>&Ox!_E_K4Ys z;v8{_*r0cp71bB{Qq=viVp$eVEqafFy}uhnvq_!B!4z>A%4g(xG;3YLZA#4afsWBr zpcwvy7lf$7Kp!WPm&utT&hCkf-1ZU z2s5Buv7({#80b(p9un~lz2H+n4wyc4uTZ?;7s#w69~Qi$Dn|I%x8^;<i~89i;Y70g*5xGQ(sxLVg8V+0n1=b>&o_p9%@$NBQ5{= zNhfbkcD75AFX-?@0))XdS1_T9^u969MzH&|WXr>^C-rpDKY`Sbfr7DZdm4qaZOqL4 z__d!S(ObeVaqA7V=4J#&2k+PKnK-0GC*>p>xo6_Js@2Q2w;hgrN_6tGuGNA{M*=Jl z^l|F1GSa2o^-uPpe%})?ka@8`H@B)fK>0ZD=#P?B2{3%V2Z1&S093>ZZhNUbaHPuj z1w}>s05y>{0XROxOboOR03nzyxfkAtuI}4mra?j7b;z}-@-etNN*{|fOY{EOxueB= z{%WhW+)5G^$a&nf(+y$8L%m|+4qz-r+tkS*BGCue=B zfNWQJ+kES29a-GyUx? zEL3tQHcMarxK>LmmAHooAwYb9q!2?Vd+|a;6c*Vs4giFj0yR|hfOWw9bcSC3v3)Va zU-`5(ubf`!;~5(tub)z!3{2dtQkxPq2*zqg8?3~`w;vZT_CrCzpgNA~#l zjSo(0kCZrdu9IX9RY=cuD(k2F!2q0K}|2nkm_5h+HK@%vfdOIHw7sw_rLv%|F2u@eV zqEiM9eqcRzDsi-4t{5nNyvf=}&YTg*K1SdSHzPH>Uki z3Soyk3OhOEAHnTmfq_Ja676!$5+n^QovT>u#|yf5FhHLytvdyX zSuoimLPp5zJKH_cBPK{N@u(#nJIEWzzd>)_YDsZ<7wT|Ndp3o2Yq=&(CFL(L+?2g5 ze@1X=8`aIN>#KT~uM%`48!Q}tEx}PCyTr0>CIv$J%V17gj#O4Cdy?PT5x+%LAy6Z{ zdvs>&*^&2wpl7Eb5Bd#-fNrtFk)mH;FpUnr90aB&UR~s@;SqyfgUlEt*dxrv3>}{k zVgZ@}7hL4qOFsGpwCI*k^s1p3-!CLVx+p}(m$93;st2q=)pg!a|jTGB| zFw1J=;t^^^7S5A)Qv3F?eP=p<{V2=$Czl!YPvt!t-QJ$l>tbzf)v*4ykyuZwFz4z` zyf>5hL#|JaOw;hBH~^j47o-JEVQ@q7Y36>%e~OG2HE(%P7}v6I7nR;YbM^;ynMa3q ztsvpT0&bP2o9)ki!eum)+Ry@!YcsJR9nYC|%W>A)9C8uxiytYIYf}Rn^F650c~8Rw>JxublXYaUEfT7U=2e z5%I_8bj>U>S)9KvZ%z$FjpTPvo5rGIZS2&~H9MV>LSWF}T()cUOIX$21JJoh*dA1^ ziHgV-R*v30KMz7JXA)Fm^5<^Gbk%{I`Vp67fv=Jt;REmA z>I<|9VY^<@X)B2cpRThpuaWAr0ucrRAqV zecdxd2RJ`B=9>FuWjPL|(G=Ry=<4S zbS-FUDZcYFpJxJ@t0o4NC59FVrJvOVJuTa|OjZ;^0L()`slxk4jrg*kOqv045*dAF zQ6AmO^<*XiDoQfYv>rAW_$_*nM2JRp3?e+DT#Q8i*S#KmtHVOm+xca$2L`2msr5&* z+T-W*zU!N5{{GsNl#rR|HTV+n?B8k5B=kbCQ%S}zKInJkL7NP>`=#-%1u-O;{g0BdO_SLZATkl|54Ny-#yA-%1aKP6 zgW8Lj$Wr^#0Sa5t3QF5w2VY|--Fww9*BmN~#hf=u0RoJ1K{ti7pI{uD*{DIG`jq!#wBO3otU;ie@V4 z8Z4;5xVX58N2w|hVbBmVdZM^epnv4JtuN4b+q3*^)#D2&``FYEF54frK2}za`t7~J zR5_%D3?TS^rK7!;%qdG<;ggeCMjlxNL7xEr?L%Qr3>DM*{1^Dzd%zY8{VTa^m*H?6 zFw&OnNYzwJDW_$#a{;zzPWF`3?Dk;TnimwmFW9f#qviybYH_h#1|yShL^T4C=N36i z{1eTzdkmLWk;tXy0qqhsh1eZ0InWgl{E{RoK;0nQOtnRf?Is?H;0n^h1R?Uh50W*q z5j}?N1kMU;AP;T-YH%%G(71g4w@!U*C`X!-kUIB@U9Wi_B~Uf}F}Puq6z!ks4($uX zu&E!fYEwOfZTI1ug?MncEtMAG`D^Kqf`fvnDUhixc^8T8=F^B?)ChY;#`Rp71x_(HFwPShZR?sdz=g!kc?;l=)15CLWCr? zBAJJpj{jw)=vEGQqNmNx;vL;k7!3v>w_)UVy2%b*4_AP+8~`J8G6xX!e{Ov9@%iBP*?6QYWl4;|lb zj%VHuGcrJfdhkT~EOJ!$OqZG8W8%p>==+6omEs4jasReS2j_@9u=3yd{YPV}biE2^ z_de5iQvVoNGGv;MOLnn?5!k{Es$h;uU_-G}hqgIcsmm9A7Xj~TiXKu^qfpR6>U)%j zaoL2oO1SPQJueb>y_S}ByH2%Mq47ap8i(%U)d(Y}+H%1CArp_mfg;Idmgjzu=g}sQ z-iA)OpcsZ`$L*lk*=n1chY>I@s%}%W;?s$aL!`C1)$!|5_5?pSauVN+|MFmynv#Z0YCIJ`*R^K>L zC*YTt=Qso_<5p|~UVPZIy_-0=WREO$g@j%M*${_#l2QdHaMjY+8~$fo$P{m|Jc#8q z|DmMqT}EJhQ7FW38H6v@284wGaQlhdC5&&3qA^;K9@ZHuCMF5CbJ#b${|w$gH~EbT z_b>orRNFr9KtWDE0UCw#i&^UG)&8qD`}xxVeO6HwrQaXQGT&%*lxlV|YH{0Y9Xq+D zMHm70?*0qsI5w|jS73N}I%^5MWHtThJ+XRz{;v}_1*ALs;ll@rc~n7Q!OQ=^YwFY+ zGGPa#`B1$NW9Sy%0k?yg-jOLsSeQf-N(PdIs4Rfqhbey<@A|=F|JI(f8ULOP{~%-6 ziA5buFp0l6C}^ZqEjV^_Wqi7tng(h6t7l6B5SBWgOl)?@@Ad$r_GO zBrlb4Zm#mPE4`BU>`C6+LOhPx;av+EQUHcsk$MF08QLVA#QX%COKVpch8dv?^59gP z5JE5+F-Ytw@sEj$?jz-wgpJ9b!2J1%QnnD~|B;x!$_>VM{on?7U*7oH-Bc~DdPjgGEq@))7@nc4R! zIE+L9h8ytSC1ev6C0`$nz(7bGMM>QW7|IaC9OYg5lHdngeXb5jFo?Ov5LMztQj#cv zn!X!1R1UsgFM{$z#rDOjPcyD(I(us%?kDRoRSX`+lc9j$Jl!6;Sc0Iqc&rSgJc^Q1 zpP0)c=5VP${(TuAZQYLHce>}+!fFrrkJtTU`)(f=IkWL?(UNA8l?sYE|1sBr=Y1fP zLhyLA*=P^eQP?s)eWmF5I7;yP!EE@pcm)6i*CYs3cL~kl;D0KZjL&tE} zB~HQcCZmG&)}~$La)l(AfWMg?zPBp;MAC7fDKx;r#bBNEX>gmUb=i_Vc8bck4+>S? zn=$sxY-EHHCNZ;pq2eB*Ynix3{|*XN)oTc}ar3ljuDTgz5m^^~;FeQ2|5raq((p-9 z>Fw7(nmTj$K<{{cjQ^L~fKRf4s;ZPio8SiT3;u@`->AD^yEeI=W+1hsVA<=18Tv;q z`~K|!r)(EBU&r&fDJifa%V+~>AC+YoaZ8`w9v(gUxzwNP!SO(GzYsV)gQ44E>OMqq zbnGqo(e19sx_E4!`t9=Uww>!p1Npq?3TA&fS#raA?(D4!-O^hC(^+D7Y-vQw1-hF=J*RQHcJQ}rPPva-)g^kPLnM#wk$)~=O;NAyTx(&9nx znSJYW=QB*P|F+#D7{7m5?KZNCmp`bXyM+GN2wiqIo)r%YjlPJ!sUa#F`k{O90IQ+G zP3u?$L~BlHbu4wj465*gJFYl*aDA-DPf^|{TH50e|H2aTH8uBZPwW7Av%W-tKt%d?pf?pHD&|JzqjBv*X^TwZyBJT zd1r-dP6`Vfe=qr;15=QMTpPc4Ke&N@^}3X&`}fOb9M+Avu?%`|(ZYPHlTGc5`5iMB z*w2j{sd~x+8^CQ@d{Ff^Aaf@B=9($G@IE+3XJuMnE)O;0@jSnXs+8QHo+!4yy0nu4=qmvWd^pcPLq7(`5&g;*QOEGuVqbG>1}ICt1#kqlwqE-8 zM^V7h>FeKiwK>ySeEQ#aGQtAXA+aa4CmZ!Fq?|Yw+nQN}^{m_q-Y5P2l^bp><_Bk< zACXCaw|qH8%Hj8@{7#l@fmGjrxEn29ySj^PcsN((c14Td9q-M&N(1OFMH!4j76~hSh6=US3BFRn+B2N+&AxHNByU}W2IMY&R8@bbdR^jI85e07??2W3h)Kp%&rFKw zzi%#Xyk>CxXWhJhz4G5*|850XGMBy{$4HKtOZ~8m7J0HN!Jb!?kxj|MtbZieY(M<% z!+_2o2A8`DHfGnZV?6v)pbRQb<*oW?>8TnSxZ;7kaC6~(G#)O`jna&QO6Kr}2QG{x zcnGzlLO+&fec;ZTSZ+Q#bVxk#dXSG$WbYUMgSVoe=)}jbkd-KRe+%%rV7G@~z{;8v zKf0)H?H*oS8(Xk8vfsU<Q| zmw0eaV&D%SPYWy5ZSU$5a{H>Njy|AWY7X>$Y7@R~DBRa6eEPIM3dH_KcfFhx$0m-? z<#s2nUr^vzNe)ZPHdscjN|&R#;b>CA!=0Z!kEJy4soSKp_-utDyNYNs4XEVhFCXZu z2ir(1Qp7P{k`b(A7HNlTB`;-l$M_(qyb~UdR zw6tK?YFeHfD@@NeW^bLpfr&fS28G9&(yXjeuVac4X2Bs?@#|uD*)N+MN+Yd>H}v1B zbn{y)cZ+*J8l9t}^!8qM^S&iFxKvuG(us;_FTXZF5#|zk0vrYvIxw+vbN#69H@2X2 zuwu`|fw1Qorc)KM6&d5f%rvpbe>BuM6P{L4jLV{#FRo)^U4|Y^zCqc}=7$--8QXt! zZ(NET3gXsR#6zY&D1089v>Ta@iKKpCx>deFatDo&;kqzAauK49FOwB9=v}R8{CoT( zG>F*jEbfJ%OC!L@xeN;X*wvetwdUrKo36W_9HsB47|6+8eBNT>QtgEGgU`4FwD&FJ z&n6zpAjetb4=y9B=Kx>pV=lfoQ+YrAasM0<6VrC}wpTlg_^)59GB?o0iekgTWNXnp z-Mx>@JL=S>r&^dH)JxaxmE64>JdwqnM-Mv>tLglFwMWn@&_M3osrF-7T=tbmPp@vx zz_kQjHzX9$W7e*|uRMPGHN=7{T3ie|WeDYb;JQ*Je!Hgl9m?n(Bue*=dre(-Q#^aN zEF+fV$YXZG>HhU4OgTf3gdwJFZ?mc}&Uzghv;l;%4s%~Y!%P-vMy?`bs%mR9%pr7w z-m9EGRdCvL9&Q&=J#b(v1~(A#I2`B2pGKkeu$m*+Jj3 zgTCX-7hIvV6L_qb4;=pWt7WEDLH@Gt_vi(cy#eeufFLv^?xgzlgW2czZF$dm_TMAB z&l~}{!zOugZ{XENOZxw-g_VrNnHa{R4?}3ZaBMpROLQ{U7o95_Ld8eftKs+&d~1xz zG0Auj^L3Xw81@rIw78_?#U&7V%=g#GZu!hp!(VX>N>sqfhZVn^)@ zxdz*6h1;?Y$9Q{7E@<)2%%9IVux7$BCbIS3^*7y-mKMi@BetTs*_eN%@V6`r#btBs zwws3%cB&JPDoBfpFn(=jVM2-M-tBSIhTh%}lX7?$K5_wik|KA9_m9`AX+Cd@)-flQFohOqGKf@qo1}S)JOm5f)4}5N+DM8W^GN49dMb*RLI-j3ngf_ zpum}e65Jk5ML6W^LnP^VUJTIWF8DDRq9*r%LJLPlnpkx{4bAZlt5vm!ZdXO4c-LXX-pXS9IE5 zaRaB=E&0K7X@ADP=&7jmC!ZgRt~hurQtGtEt)?E2`xcnpTgEi)9LO11==g?b&~ia? zej{H;;r+=rquFup#P=23R$(qRg} z;!v$;fkSc6ROZPR+*_z3N=r-Q58t&pY-{^1XI2k>VzETDhVSUfcodLTDbK5#px9%q zMuT(aN<4RtO}Gm8xT{1ux%|vtxwEgvG^X_Lhx`(cKQnRf%t!0m5Gmf!@iVRZmEN9r zza?>c&zH8|50fyeQ{juM8L5Q~8{P1C3~luy6RdKdh_BZ)}e`8QPH z1#|6*D?N@KD0^9$nO(Cslwz0`Hv=Q%VHK5&fGShbm`F#U%Xk4-c69)f(Y#k{=22v3 zoEz(vJJWkPB_)NWYT5RK%xr?%ap7*>=c&Hy6kA^OG3&HZXS^y4 ze}pHRLc*j++`s7zxzaJH8D`4hZkIhA&Muf4-3wEK*0F`ZN_Hb=363^*gEusuR^iJy z+1M)FOhqZZs>$-2d1Z57eT?flMTsOC(YtW$y#u<#5Rk+!*dqg}G=x3u94rmAClaEw zo*lsd-^jvqAGkW=IeLd)rKv^m*cE$kgWEHlRNc`kY|GFW=<&91%j^>e;+c!q{D&^p zmz}sMm#?y&X$IRe^wN0b&Tb#v`*~r0!`&cO>w+m+&(jtz3=_R<*Q3mIxCz^u(vP(MN%>Q}XWrs}*9X-Wm2VS59 z3x(YkPMgYW1=ioY`}SRoqR7*yPZ`#%dEyRZyVDmiXd5OIdYSnc^QnUv({@jLGnUsu zo7XqrV7cu&`HJnr=u`Uf@$r`PKPzKD-zcC$|(N&H}Ue66;jyHpYTq-o?Mvq$0IGr@F6#CI=U7;srAUGv7^}N?B zf+ybhq}TVe+xV{sC>iB#^3{I-{;gx|2hRgu6OFCb2SUR6553-9vmk%$r-j{XcGv6! zYryrhAE%-m55W`uu`pR)m^P;5ai0J0=Pj}>s*x<1A`Rm$@`6K9+yYrs3L3zPFBmuN zeCcKeKjEn#-A14q=pl5#uzCCHEpi3`5t?*f$Jd<)DT?t+pzxbu0Uy6t+_G~O+2?*8 z*)|hP7s}z@(OFnySbp}GlCW5#=D}kY?AGM3<;8oM7Zv31hW12$6`zziC3E@b`4s} zQ1SOCnmJ5i#D;a~N-oBPB=8Pm6Dv6uSPJ(BU9?Bt-wnu@kMIBEAeCWr$nHf*sPe#(kR3pXZm#R%~gIoK(BOx(-gm~l5|==0~6>zm_!M>-2%*uTBkI)JylLa);0 zgf;Wq>;$|PlDxyydxYM+Y01h;xqx^>BeY%F4<&CiefKrfCeA z_~^4kk!E4y{2FpAXMlz3J{L7Qc_91rBp zfV}RAPdj#LUUis@*ERo!+7z+KFftWt(fHTyL#^tZKELnaxkqL?KL+fg-Wjz+^4^gh zUp7bDH1XG{s2Hy%=gGBYWCSxOUJOSZcs0=5oBE{|4_N6;we6ayjnYn=rWJhTgX^Ac z3}uhFr@f=Lt0=0>ql9-0MVbH6kz2}VNjDjjKls!kgO;9J4PdW~>|3B`eFIzK2`lEe z7lR3zf!USuBSpt*7%*ByuIniO z3xoTE*igOj6Y+zyxA$E7Ix>=rwD^>1fuaZaQ|(a7qh`s4|LaMY!_N2L_vrgxTftb& z%StXS7bAOqZ?eCCu;tU!mYcFI3AJZL8gfP^xb1rFK*U4vnE9CB@&O`HfZ zaB@!g6RNr2G!~lrbkI;vHQ)A!i>@0~tf1JPCN-pvXuVVPoSs;C!SBJDBM7I6|amf!iMPP~3x4pp~5JEI?9XFMvtNIY$Z!v-d6D8pFH$ zR}W}!(p#}ATJewI;JI4HFPmc@#*?Ha{6|G)+WDWmEVh|fo|-)9@la1;rsH_TaJI>b zipb47)iRH~P4LD8boBTWo(i7)I|v!YIuEFy|^7DHL$$q ztE;U&fD8~uT^b(WF*jzH&+Ko5F+|8yCiVM|4+`qv3;BSJY|sy;igS?y`J>CpR5_LYpq{1|zM^B9?adkC|~`rieM zX{_FC63Iy6+N>i(&%S)sPR=|_G4n@O+M?u(e(!}9EjGzCvkU9-x_7U~DXM&CcfP%s z-n!2-YOnkl`_D~Iy#2FPdt3GaO1M|nk;6D3ksx(d$;Y| z)r@l0=vJECzyvl5CG}*Xx{pt2lX>~c*-?cE;p>Z+d)S4Va$JmIpz1X3vV<_Wod*Tx|9c-tX9iltp2S&O*J_-oH%4O1^;cJh z-tjJ+K}0&A@JUGQ&s*FMmFHPl`L46ug&O9GuI6x1m!nVw?l?2P-ygV6FY9nW+Yb|R zXab4%_-C_I~H{+QstRLuz9 zq}iyG5!rg%Uv_`_dh#vj3kSk9^zSEFpYBSvu%e?li;!b#%-j*=RW0*;n_x!1M3J?A zxpwf+RI0Uyhh4u`-N`}}jD8ci%aVd8k|&wX={NI-aYbT9r<=q z51sGG{;FQta$))ixow+pOLj*WIQx9^o2=z*|GKyWUMj+%)Q_s)_;WRwFE>&#;cRVy z>nFxtj@x6lS%>Bikzhj^e;lS5`RltxEwaFMd}N(iZ6Rmo;;LDxF1VDYz3k@MnkHfW zDqqe$)yN{BpOfNOga;KLUSQrZ($n(h?v2!?BQCppKy!mwf_33Zbq)^ldOui?7l+xT zSZmI(GJNenk?Od%aoprsZU4KdLmD}zq|mGK!UbqKd&HKx@2IuySo|^1rpCkXJ__VAzV`9C|2P%;CUZ>EokbEA7;> z^kXi&%gw#!+?8r-1!^iPLfZNfesQVW$HpQ!F0`_*T=8#=c#&<=m$rIyg;u_i<*q-8 zG!!nZqk`=x%5S(2r)tJ-S6@80@X$E6!RykqTKO)0sU4Ojg520GRIzv=yLh#^_IZuE zu#rjZVm`=q`e((~TXKDlL6v`VOIM?PLXInBtmE~S$#uKTyMNvryWKu!Uhu>J{**qg zma~LsGey}E+tABp{{H=6em;p!x%=-@f7g6R&%vQ3zr1{>>%HTJM`D?gGN#~pToN_s zT@#l2<(;wJ)Tw`BXk5;bts>^9LZ^NRw`Ew9ckKOj+@IA!>ti^)UjDn@zcPXEy+A8)m(-q@pFy&DgqMYw*(^SBF<|SwecxNfuGciFK9e_S11B zc*7QvxzS4}2FW)mytfo{41^mt@4WW*?IFt&e%zlVWn2zFpQeV0N!-7&+x|M+(d`Zz zj^kgmT<-FKU$lB&n(Fx7=pQDBv%`CP|A}|w+71W!)-TyeDVDzVambaafRE$+(+%gm zzC{>Ya45!LdU}!I$@LR^#qq*S!?ZH@#{7TZHow`E(~g68!(QcERHjOuUR=)yu(ob; z_3_`~=8o)f{O9*9-~B+eXlYDTm*C_a?D5EHfV-RY;y3X$^zWydm&<3XFC!;89vHAP ztue7NADgO>!2`qtkoIhTTOe09f)r&6Gq{J7&X4Fqw?szOz#wPv z^Ht7v_=xD6TbFcCJ!d{-3+ru+X4C--#vtpk2pv8B@Z-NDZ$XVKocKZg;9a7V#{ENy z);}u+JkOIL$K{0RC8J)iI8Yl}YQNy)v3QSWOuW4-Nb?g}?{J+!aw{kE3>fO;{6MkI{mBZ{3q=7Os=h|^juZ%16gz(M0d1Ej1j zxNyTnDi!0AOrFe+2ct6MNo>4_ISAY2rw)*ITG0aBi)#IxU0;t2bDur$_@rQ!PLCJlD`Vpx@kSUxuM=y8t) zqt@t0Pq`7?9o=P$(F}-8ZEkMfuH=D27(ARvVuDIWQOPa5vkp^_gr!gXNF@Wy%Xht( zzWy8r@1^UB?-Ort?^cve+Z8yKM~aUHOwLXBBU)xm-=d~`I*6C|Cdol)=;hr;Z|^Ea zel%+bZ>EAy2U3hYqdx0`OTE!}@-1fM+~^xXSK&Y;S&&x;n7;&maU4KlYlLFXXLjts z=?@j1Zlb)rswn5sK5R6AHNQbqo_Tq(yn;gEq&KCsqsYD`oV(vRUa}=lf&^6OEg4Vl z#$UzcJkpW>gXv;!=q0j>m>6u4bJNk$2?tFl_Re{5=!SDjKD3|(j|{>Wg9coKf`j$p zuru{?YnbixYfPCscP>-qwmS~7?1xS&=m4*Yi#-)IQINZiT)$!qZh{O1ibp=ZCW!8h0$;~13=XVpy45W72P4V zf)$rX*90?K5)DVO9L&f$9Y22j%Fh^9fL^lWH!H4qo_WxAA$h2S7;eix-*Dgmo312!`q<2d$ey)OQKePDz;VQiNIP zhUo3>orX))MYz2g!oCP}Lp3s87UqLfKt8^K3DpX_CtDNQLg+M#oIYAa8i2y3Fxk8p zH~KAZCKz@*NlO%jv}6O+*;kvgjq;L)I`Wc*KBTHgz0zLhvRYaisLkNBHBrZ&K1Ja~ zQN{$bAU&)OEJ4Yg^Joxsj=z6?UGBn#3tN(=Cnk1W*KD#5Q@DrOWkZ1iN#Z$jWGW|- zKOUP_K32&*U3~td`0!a6F})K4gP97bm5yp{CZ1H)5CP_;J$aM5HZuf8E%qeMn&{ z8dkZEfBx7*oV>UoU>fEHUTYEDpszN4|4>;DGo<7?kI?s`;>~6QQdY(UTk3LQrdVo2u7*_BGoe%w~kX6f< zHzO4Ds$+6w8?>R4a~u&KMW^`E-unvkJ||h4^1ObYg@Ss0GfyPuE2`=J@}9sjw~POS zvhNIw@?6&)HELpAQHhE)6%+&^N)wP`Lxv*K5fD^VK%_~NjxmOa(ngxnRA%T!nsl&I zq)C$wDhL9C(xk(=-y!SltbNul=eqJ^twdqw``+?AcYA0TXWGLJl$Gyt-rSAi#ahfj=$@anpJ8dILd$F1jU&Jhz z^l{f7mB>i-Y|CEVHyfd7rBshLXsDK3W}73aHQT${WxwjMF zK`F)-se0GsqWvtq)H|sIEg7-x?Uk}GU>i+@BAP}=Y-BlK&1(OAl(j2Xg`!BLS{0e0 zmZUWGY)aOHyLUG=rl`A|=U;iDXi(X@fPl*0+N0yI13$_`g>3QKp*;cu$}q?`;m!ww z$(LnTFOOoQ+AgKcZTSj@N0BQRwKe^Oq?_Kpv#q4rkX!hM(U1B7J{xf=Ho&J>IQoVk zoAn+yCP}3d7KcoU!p}J6kbf4ZgBF%)#$5ZWpyAtL_hJIKrQ((5O)3gp+qzG)?8Ee{ zDd;rSr591x=olD;rKOJ3Bh>ib9>zk95QTE)1At;6V~RAK%zXfg58D{X z`@o}zhti18p5^$}5VcAoh^`rYzOWB2pb<|ZxFta&))y>TkF~O?X&jCvEB4hZSH|Po zB$a|KaQP3i592X-UMHxm%6{c!skNDC6-8gv{qKrSDihROpGOz^vt{wWvUI&yn~ z?*guwqS>`h<;%&)fL(4Mmj^;7+W27_x=;lgYOL%07*E2}VOt|T)9ojVP=S5+UpuAi zu>f4crTH1{yOPcy>%X;?6tM4K7(CWeva`$NE^lgT`rw4z<@%hvWP#((Nx||(Jz#)e z_YNPSPQWu36Y2#EC*JAP=q*kmYr4NqBI8(9x zE#vnW(F!4rEF*&=*IW#5;RX9T@wxV;oh6W18okNTMTO)nCSO-j z_!9wlk6`^{?2B7b)*BdbuX}+WSd=il=J{k9K(5kONhI<7it%u?Dgg0=Q4e z%VYeYGF*n*Kt0D%WX8c-kX`s43x{kwMD2@S|8|aC=8d5!UlS2{o$b4pWgj6_KR@!~ zAZ!&9c4JT^_2Y7?K3#-^%yyfq!R^R;sp)jvCujUPLW1V{3Zgu|)2g%$UVEPj(Xf0G z#XK`ZLoyGD`yLP?|9omF=y`QztOskq5d)tPv8amNZb_sXV@+wMU!<}K8Z`6OunAwj ziztOe7-%rW{R)Ai$&^A+PKofzKL{xZiMU(S0q1-J#0V-QxMHCuHqJPXMQjY(%T$cDXmkq%0L3vl#)-6vdHYqz3+ zdTLQOH{IJ@ytrS~;tGM_w)Sn}uSP^XFEvI>pq$6@w;s$$il2p7m`Q@6aMg@a-cHU2 zxOO!kbVomaO!^vjS$7fxUk3nt__Gtz0$C4PKjiMmBB{}=E^}+m%-zWuMK}7$&8<)o zq96JXR6<+H#S9=D%Xdz@va8Do#km&B`EYHK5bnP)bC`{SQd3hARuF@@heW(cvWy8? z@MyOAsu*UCD&XLZ$75q41KSkmw50o74u{*g8mJIGGy~2FgJk1^p~1zjLRvB$7w)q| zWWgOH`iWl=$~8a! zcpAqZv&6x{dm0N}-6t0f1d8X!5Zr_2;i$!g+MZsAzTzl!1rN9xdKNbeDr#zYBUAN) zGSjXq{Mqx~?`NF1Pg@F{GO#qXaQP@je(mm##19mHGRJzlM>{YQa%oFVX zCOkESi^3e+BfIq}r7TQlR(Z`@;nEVHdkZbgmr*>gl9x8vn7EhPnrj>Ta_lyN;V)00 zxoy-T?Ko_ZV2cBjC>ltIgp-sHHMODP{Xt`-x}TulH{$VY2jjIPrkm4Up(6@_3YS!n zz?p;fQPgEz;yKsV6sH-q2cnE+E0_(sYz~N0P-o;}T)&uC);iDZh}zOrQ+>&v<8X@W9}Fa6|eb?YkHYIhf~iVwCvgfn`3L%X9;pr zDDP*;y97}+h=f+{*yWV_qa{1kFVZE%Y-3)1{Q=|hdN$p%1x+)t7~66N9kNPcHIi3S zz@{W%!{#l*fbbf3M>5_kHiBA=3pwntVNPW|GDZ0y@5hl$PAw4eXe)0rX|Hjl?I+-| z=s}|Jhw}-PI2zceF}k?65aj$2cWMQwjvDDn1Nj(=)A2_~9kR?#d~f}(OR&>2PD8f| zEtp$OArp$1>0T~pneCW5{(N<>ZcU`(ge|zTmMR|Sa3ypo#+jImNQz99?HVAx>@gM7 z0&}V1ZmY)=Rqoym?E}&uHKku6WgXW8oCdGI zeRzZw|7W;x(y+sAvcucQr;*g>m?lsTcmjL;G}O`==HC8FKde&hau2gBaL(GYc{jjm z(y3UV1)cO($H-=bXT!6v|T zzyU^xA;6gxnt66+^`f`u%Xs>+*%Zb)@e0D@trtpmSeYWkU())$=l8E&Lirsjgw-Q| z332`CC48j9SN5zto3A)LT$1vQrY5pDEM?pXa81s^*3q$eVv;o6=o5m6MRB2FYg8+* zrPO7a24vbqONd>gYoc_?0^<3R$T^!?$is{`IAq?QECpohOc(B7B>t$P7 z*dqbs*!zMUqiLYdaRnxw|9 z3Q?cg7hR<~&aPU?=NfC1 zCmxz&h8>Q*I)jv9wqL3?BPv35asI2vrR+AA7ppf>BuwX>L5EkSZ8cKvXx#*~2=Mw7 z-8U*naY*NPkbcZ_P~uw8pKG@8KEy|0NIk`kOfWh~9ItT+Q~W=6Gj6P?N_%`lBimvb zg)0^as=zN8q$*?cqJ5GLHwpj8j~{zJeF}P%hP?)$4ll;`nl|MebSnLmT~%q>oiuNj z4Dw_)k-w{*oubL`mMF=NM!WAo^k9UwM~TLe`i@qDv@=!~(6CjHPj=PqunIMv7~Ek2 zqVNf1C(ka3=?`f2G2ze_1}dKPwjm zB!Ox$W+)QafB6h0^22nwZtVU__#WzA#jN;}7{Af*9IK{&fPv5I30o#3h^Sq%qLd#Wpqx z;Z`YO2dsZ*>5~(D-y7`QDB(s>5(lTbkx~NFFmV@boCPd_f#$Sm0-yr!YX5k3Sx(;c z7=vA^GA+%RaqtppGbmo5h|y`fvip`-Z0DgZc!k2OVprp^bolq}Q^Y`@ z2AG5QQ<(@ha63R)y5T!L=ib-xnDr>wCOO-ieLKgWjA^BW5DC4OPMx+vn_ zRIRiNukA{KCaa?+X+mii9<|NW_0q@%vw3IRFIi3WC2H7nyyyCd!#D#Wdenv`vjM-< z4bYZE#BzUgCnxIJ{J)s=Gb1lI$|}%sngrODVqjP?IUqei1TE!rqhG&B9fKld!x-sK41VWU2{b*o*J*A3hBZ@`qIg59^|r zo1UKT2jC>(zuj{Vvq-^avYFTKnfPrdE}0#%TdGmT@26ftHUZxPT-6G+g|VnbQ^4G) zzkE<|ap6KoWEk^TjeHN5v_H5+k{(Qiu+`h!yAJ=cp50|(&gsO76Y&s^GJg^Bnfgn7 z=*Am2Lg&G^qPSuO<(c{^K2Y%T3D~{+3=4Ajif~Z3TouDuhi}?RI9_RV(v)wHr#Pv< zY1}Hiz?=3B72U-W&>=$9?Rs$sA#`pTasaqlR(@t#*+%WuVC@u<(pBsHhYOp?*2~$9 z-+(8424>foX0&IRvH2(;96FHdJQg8!`k&|@=)hDY@Z40L$JOHHZqU1@rW!a8;qpHC zF+MgDlvER7M5`=KyPo{7MfE$Z3U=Z_CVbjOX^$UlVjQ_ynMUJb*mRTH+f(XO;0q@J z3`E-tQ852gpsQ4Myd^fnd+BdC^q4FxsLy_1V&LR1j}J5|q4v@Qn22VLPHX|cN??wyR=UmL07kVmKTCRBA(t6cMn--(=+~MSg8=c8|qEyHDPlPacv( z&aZ1-yloH39sCX7?9|e84u3&bjMv1%=;kj8yZ_K#URxD>mYaWgD8MIcLd^84f> z-(|$+S{GdjvKxBP(``)7TduDtdz;QWc3iS&r5Gr?7Kohll+ez30)~xw-tu4(E74$N zCp4J!Sf#L;FM_w~vd1GSbvT3Z#KDu6j5H=f;|Jg~I0o#zK^cUC#MS_rX4!xyrN@TT zjeDrW+_!K#M)UFSWXbrm*lk;JEiHeTruS5&v^kY*twwxch!RqXMx8t{?=5_fQSo0H zZqL<@UB%^x)L>TO61GH*lg`tZ2(iqSD8Lu)^~WEO{2gJ%#Bcy5<|o$3MgEK$!!TDp z&*mi)G#<{zb%)2Bi0Kn~D2WrsaIS)@X#^f&2a&0M*zcIJu8Gw9dVsi=N8V9J^J=4k zomIjB!o4xptpLf{)-P z8DS{Z%}g-GAfui@7k~i|VneInSiVv{ViEIaGGQX2*5SD`7U%k8Sr1+RTpMR6bo%e9R;KNZ3e?MfN(!O$n;L8S2NG{0=C#@b&GlyW@_b(Q&ZogG6gQiJ`KD zH~=uHfnwGULwKs9WMx+iuksJ+C@{PFZYqi?(buxG zUxcaZm?8yPl^Xao1w2j^*-hAjU+!vBLWn>n{gV38-+1EjF_4#38%?9{;qw?1G~WFd zI&th2!q$R_Y)ZBz5D_%0*!d`%!i}ewm$fZS%9^!_LHMxEco_g9r~7ye=qc`bd3gZ> zyyTq_F1#fr3 zYS})eU4WRh(Xp|5obWi@-fv3K3>awqOS{8HIH{woMk<(Vevex#?)3A_*28MZm;3bf zYbpXV4vC(mr0nEXkaT&+7Ixs+wI_w>mz;d@-S7x-oq@k?PuBg|Bn?gZgDVBGv9X7n zuk6T4#(jSD=w0{UP}GzYo)EQX9_B?P*xugHvO~nwzjp%9Vt9D?RK-S5^X6is2NLyc zgY9Q<$uPf9KE4l<{Zz10+`vX;Ux2onR&`k^>pX!$aDS+0*)Ka6oNm3)7gZ-KJBtt1 zj*CQvS_j3f@>Lzp}!gnU)a}=z-)tASN`p zh2IU4v<@y7dlUwR3p0ZcBy3}_x>l{*_7Kzp#8tolUUoSn9xzn3!bQ)P9 zQo_e)21)1OnQ@3=Jv=m&44j0YmsbJ1E`!Xz8_2AN6_;QM8VtK%eX&kzlwtc7Oan9k1V?NgJr0YPz-TSJ0 zS;(esrh?(Xde{$fH71#nOARl*ZL&+LBKW@X{0ueATpw~o%BjAF7t;_H#MDNgG)E

5|N4O zuxPt5{g_u}TKPT3i(5p7>&Zq+Z9w(omBKZ=Vq)6J2FWIt4R#qIrBlqC*i7%LlF#X5i!AygMBdv7DrZjicvAq)Szy9#seOfh5zzjQb{=n7*61l zf`<5D(NAkBp8U3N76)+sqRfxM-T$VmOSZ}eYxRMYV+!^eK*(-#3G{r}Y5&#I7ri__ zqJM<@!Wq3M&)5d*PhP2GYT3%Dq$tPmE0DU|TgNkiDj?O{A213z5z=AxDAj)&D!z^= z06i-e75rx=#Y^Gy>4ccDXEpw=i?j1SB*`5!9&*UXh?t$|YfR|NbCSd?=tpl=9{Aou z{-!@WW)8L%wy}l%dL(a9kYGk!rQ}4+x}t?zcL2PEs^b^*JgLpix?0J4qzMpAlv@_B zwDmvaf;qlpeT>@Zsx%0_irmNprto8%cVfmNR=|9p>|!ma$6P>f4o;pybTWZemo+8> z*M}{m^Fu?neh0lwfvEv?dWq*Xj=FCng|G_C=UG2z3lmlPc;_P&GOu247l%RP ziOj;3F+4qlz$S2g>r;zFoW=yRz)J;e7eS0hL~jHzfE9lpcfWz&>~~sf>XyyMY+VI> z`;7z(zx|fwgj&1Z1h6uzta|~II>w&z_VX*YUqFRQs(fxLylJ@7GPqSK@8Erz`MldU zNk^#vkr(MRD2e!tc9RdHBT5FJMvN)E#5m5)eEHA@0n^LEV=NQ2uS(?MGuQwj*uGd__yr#~f$P(ngb zcC==Jy~vP0_Z!^5L)q zb`PG8I#d&ZCh6=aF!U=6!*1cKky4uU`yT~_GMo1(zlGFI3rIatB@vq(sqi5IibJ;v zGRh=j5O0pCVAgLxcpSkK&}iJln`69xe-2%ZTPx;ozwE05q*uJBD?Su7Hlf*!g;e&RGPt!F5cC zU0iRWIP1grkF975#u9eyqUxmTF)5|9Bu0y@7f??%Z?EGWb>!H*BoKtk1~&grml`&N zFu}dT>=D-+JhtZepGAhitx3yx_;4k@Kz=?cQm`7y<4=i+Q#=K7lr~;1^)=L49+P=INH^Ch?~v}FY8CybAUf9zlzPH&cbM0Wj`+}uB(n5KUE=_g27 ztn!Qzeh%~-`?Zj*Y@M7X#vo^2_K^^?i_cUT5h=G&|$=iqGWXf}r^k>J)ma)2oAQdrvwU(ihNxoErfZuLLkC*MXIpt=lJ<>9ujK4kl1?In}C8I=kS z*!uiE{7$<)_MNFqDe>vfa&xK6<~Vw6ZO_aL37}FbI2p~*6B90%q;a|-r!l*l90!1^ zXm_o2iRTu@Ta1;?a%+{nrxfn(4Kq&GqpHd@XZZJb2oVWJLfWOb7IwIk{^-p`1Ku7odm!Tovpkgd-llFEVE4Ri&^L; zoY+M%sDE;vX+eNQ&vws_-dkej%su*xak)V*GgWsh`w1IehY&>mJT$ z%nsjkpBLr(g-w~b0l7)7K-3$F^^|h~Ifu;N%h}?1=i@D79(Bp-3~L$Gd|z@@Vj5@r znm&S!utVa2ArN-~S^km4e82@t6G(+yJPXC*sB-Prm$hSQ!m-VM5z1p8kRl+PFtM*w&=)tA-f`` zW!$*ReaL{{MTG&|HaIGaiOFL1TE4~uq`RQW^_Uy+BE19XcazW4Kwj!VXvg8wrSA(z zq~W2qYw`EYR@!b7I^oYiv(C#U+L5-tiub3p6?s3&UpqfF9^9IWGVMz@stQ z<&7gwpNPQXdRXL1E%z43x<*#i?c29&0o;%;fv=#5M)ubTP5^J*L~UA+C+o(~v1!v| zbSKE5RE%FUfR9DX&(H6zjz|Pb)ZxvERt7HKK>WK^F>@Q({e71LKhgr{*Mgi{7%5(y zS4Fu}cG~4NP=+epF5p_qZd6iwGLgx`uTy!TC}Iu8)3_!5<6-e_|GhX0l4LVi=$bH& zIu4au7+DeU)@&vkB~b*=!xc~TRt{e~ld%kVxwzzzQmK-#UTPLq8X84y9LHM7(QQN& z4uoS@perTpCia(lmNi^3f5e=MNC0I_z;U1e5tySvP(5#G;{=72`l$dMuRg<7^*S>?^5>DKbwZZ zm|D7FEVQ$b5u=h^z7d6c^`$j^xSREg-3yWNnMCSt(75}sHJm4hlhMWszcdmZ0trnZ z832!FuyEvAfA|fmXh`I>3die|Sbsg|3F&skfF$@BqL9S{e`^xu7K5}{&@=I`JxK3;>8i=E(647gs&oo^lq$I%&N%;$q8#3fO$XRK_TmmsetC>O*KPNX1BW z^2<-Jdb)xW{Ygpe)!{wHD{8Q^FAYrN2Lb2(ocwhEc4BF^2PCIa^8;J_S^We(Ey-)# ze;pN`bDyCo2E_NUUHI)C(L~39``orBHKi(Zg{d)!Shpm?~2p(Yk{5jL1msF4P2D&08SjXRzs0#FuL^eYN z4|brFNhk!-k(jH2W07_A!ry_MeDPUZ_U#*IimTEi%$__=n84_Sdzr8R0fh)EAnb@ip zXME!nUzR@4wV+sVgD(Mn)2e{~h`PtH{v z0@O%^awO+hM@M)8Z0|bk$H!1bM0*4A&LgXp2oH(k9YR7o$f*eJiKZ*0xVX5{YT#kuB z#@em)$0rD5K)IL-YljK%s%Q30f1SFkE7O}Ks+8W6Q~?mFz?Y*>PNw$J&0MeZM}Nz_ zaLXP<5e|kt|9_Yb>DgZWd^%p988Pro3r?cZpFBLGuSXhKKVfqF_+wzmNr?=)W2r=@ z=p0S_g^Lp+0I`)SDCF&?(*Y)3;sZXmHy?&3(r5QO(~~$7a6k_m}TYu0o@7sI<+h zI2rK9XY@wd7tj~bE@rf3q8%k74T8xSdd%B1B_ND7?>Df^2*8jk@h--vA(0tU@cxQv z2xV6P2F*lHm-~5DNUDs zD*t5;`6AX2)Bdq1z-u+LJdA*lVOsgz!|ACuD@N!x=K8Ka0R1QN*WclO1_-qKgw3L!f2H2)L69^jP3_5eeK8TRCwb?XA7qKp#K(2qEONh`%zCNb&h zo_qKxg!%#2u)mB=PTnAY5A6TGL4x~zc9;+ea*hCb0UD2gZ%7DQ^2HmJg21%{uupI& zBKU=Fw!W|gv2}#FB~=zso@9gEgKeX?p>oWz=_bKr@Sr3jErevZp*B6}>IdNf0DQ*m z49GdGoJ0ECQaE(#R zSzA$&9!L~nWSTjQRi^xX;h@H|iKQLVDW(^|?UbCPx5~Ku#kz3YfegyRRB}!xO_DZ69)R@ervbtpTbTFXPs1t5lR&4DY5mwcXuT ztIAg57Rv4tE7i-QMLNGB<*4-~Xlz{LPHr@N=1K1cr_~{edylAEC@sdolbJk0$4C}A zuhD5Z4|1GA&CYQWLX?zTG`z(B+~MJyeDrCs($9)|;sq z(`)myO7;UxHC2i)4l&h}^Pn9oV7#8gPP`V@nSx&!n;im+^vB>qeLwhLDmxdim za?-GX)Cfct;eiFo&8IZq;Kwc%gD+WDQK1CK+Vz;PD|#H#(jXJ+)h(x?@L>wW+=;C^ zmVna%0d+Ad%o{gd6`l;@M00Zkhe~QmIybPn^s%E*VKx~XKSPP75wwrGo>ie-KXlb1;I8mdhA4-~K^%)DjP5LF=sdm+?T@#CHwaGs1VktW?vGaU*=ZWQV)AkIKFW`ME8kmlQ?F(f0mg z5{{g-NNMCU(0mtXlv<0VCzzF}l>};#7@el(q3_BQCmroLsb-!0iHWV7+cFQ2yxI)L zr1)xGol^ z@tIyrEx1sBY$K!N0q_145uujbPBwR)s5@-Cw=osJx~Hm?w6(*O$Vbfjd#py8j6=S3 zed-tWC+Ch(6*G*S0UvRfcXciLer3mGO6)PJVzJ7d-SF-Z9ZnFUB=J8xM<(P><+z_^ z{q-3ezuHmcXfXNQ;`6U1{A+L+SrrD^v2D6=RpynB>@s)(0Kb~puc6WZwFl4N3{_bz z+O=empNaUg_ur(V$e_{DwwMe!KWm9m4cWjcRvM!mV41NIWoVf^IZ6aCeVA)LU^Z!K z+%482ZeAqg;sekLVrHULcgas2c{eI;sf*8;%ldrE1AL^lwnb=XU)E##omS7St zMvt}D`q#jfpp|fONu_&H3mD&jByRCHPNN4_pkd~q>&ZzUU*C7QRCz8HS>q_RPo9aj zv4fcVp#8>Y$jiL9(0`e`d`j#y^b9*>pRb_!8&7o!`q#8vElC*b!OchUOd|Z&f8=FJ z{&zMchEtcn|3Anwys?@ir_u6t0G8?%92Ky2{`$HmLMj$%cItrc)$#QYb_}ev4$d-X zc(|w9RUjW|vcrT)4(eoHS@!Um9P$J1`EF$MUzpm>T$L2Z3jj^^@*R?igB>d_9_=HE zWF(v}Bu2y#9Ww&_K@tNdERgm1)QoDS@fNSZ(dd2&H*UU==0~JUo&KL$Rc`q+DtfUposB_w<~7Dr z-JWuxM}cqO8@4cM{n2kE8RM@%x-wLpOvob_=@&^Uui{hWPtqUH`U{D3Ayb+0KFAyurTz!a|Pd54`N}-1LShUpQ7_I16S?_ z_2JP`4q7(w_J2HKdlm6u^~}&VxfvWM3L2Bcw5nh`w!a0gI8_T3!*6!QS9;|5fR!Vp z3+=b?1Vw@b__9pT{}riI7K#_+KF^&m&DYzv7u7#g4RIG~CGVfAKQ%vtA&GaEUND!? z^teWUlTlTgcqf7hnCcCG8+^ca?V8Bm?mJr<6N5{us*GRI;8*9cy*e2&BG;b~;f1FZ zl={ysf`o)bEwBF5iv)<{F30`|Su5YFa6Ts|Ce4>4EU0w|Ox}N46r&q31Fh=}2Fo7x z*_)ag(q3!c+oM8KnO{qMRwJXnTCP5|GlCQTz*%vRg}F9g4`|*q4)2w7P{&)maRROhw*ktWyoHQa-3DaLCzRF9Hq3^iEvISE%#omfP?n>=wSt zlHk<9_cFATnOFv;%*V1b5aI%>9|s2cRiZ3Oef7RNSNVf0@}o%f0YORtke0!jNc(@Y z001zMPLEjsakv+<$huBF;c%ZikI;%UR)rJ62nnzoGyoapPJH7NzN5}8FijkECA zPl9(AKmQd2Fe1LT=Ls{#hEeEp@50WVc>j34fijB*txv1ic1Y_X8<{*ux!#=PiNQ#u z09>g=6G3XM{s~(u(L@fsOHRb`4A-kbhl>xJggW3?5tb?*VvBrm@RBz-(T={cwp^U; zTI8leB1OvLgRboUZS=W9RfRvDSV&f-f7jUpUL*ziY9;Pjzk_+)aE$@&F8a5XGoqJL zD(h^48SkY6VJJQ*(g_F*>xf1N%qXT*vnnY#y=FRI0}S+1f>e(@l+6)RCS+~0@Gk8} z{Cuqn3@+lPqDd!6KC*)|d^x1|QPIWN@Zw;l{OA&b|K8QEo+9UvsHK!( zcvjMm7YLyMHU(28BxjlClFc;ZWm~FyZ6L8=l=Lz<|CxEo&>U66sZN}o#8|@}J)|fv zp!-CQMmpH?m%E4JH-LjDfzaLXW|H#l!7=`h~-=oocJx1eG8Lmi_+-mv{+lXkb9Y*zhyM$OT&rq*P+^@jY8=6{U$ zR?$PVv&R=^gBegI;p6IMA*Ei4hDHBZ%tggrAe~o0K<)!}Deud6e|QS25L2u+TAgLR zI@ow0PFX`jPJo4jpD~)i^>8@0J~@ArNTDzTUb%1G#q8<`t59D*cH5?f`MGCA2sdZ( zd^uATp%zW|W+9R#%Ec8Sx;B=JCSFJNSt|^O&a^+bMt{Q!1tJ73^FO|;Tb~9E7wJpd?BYYb|A|2Mh+Cth1&22O=bq%jR_(AADLeNmvdXlx zB^sP@9ug(R0Hx(6oZ%Rpb()60Ov|g!_`(HlBJ6N<{YspoC}i>=$ipP1N00?y{G9hn zZ2$e1Ee+V};PV5y-N2AIx=OznfJ%^fq5e9B*O&N(R7Z-IBD5NvF3_wBtRz6ie-GkS zL#stxU@()@N4iVRF^pt;-Y~&e;KnB42=rX-wZfaBLsX$byWOvRcHfHv2=WDxts z1Z^lu<84-TNoRU>`>IO-I`vq9rc8yyh}#SV7a@Y73qcgZ0%|kDN{}}UxYrCM!}g-@ z07jvGZ)!}xq(p3=+lvHq0r)DuY2WAc>^?J-=HUNLIeen{@sEe)*^GUsJ((Rm3w{wc zT`ov5k}nFLgCSXr+$5@c-@1j?Md%{PcY~-T2H69KxGp-`Kivxw+kgAF#eR=kXe5-o zR#>kR7w5ZFx{HXBDO|!pXwq|_lj;@`XSeS`LM`!S5qlbr{SJpOF!{5vvs-w-MwmTjtrM3#T6AJoxHQ!w zcM3HfkAO089%e|MC!6CZ@9}}e-sTQRrQIi)HBp&6hxT6ov;X^O+L(czGS1_s;J%0& zm#B^atH1x|L=t+oEkbGsxj|!=xege^cCkM4ntI9t@*pg=$3Ef5twm^H_)vJ3eED*? zO{%82DH3#h^LSIW{uj6C&2^A;uCw_f9lZ zAi5f$8q=gJ{0vx0->PUjh79t4G|T<{7t9TO3*Mxj%`yK)E;m}ZMa9W8Rs|z}5Z0GS zSEFI>7~HyV=NfY~Kd?#g?vWpz zbiAH$-MLBrB+>|5A~#)o2gB0JwXE~(Jl$S@UaBA=jv}B9D9_AbYI2{eWpkO(ig&hW z9u(Exo5F4`FLOfTeS}olKgkrzA$_|{5xY1E?V3~RY zOTPp+MsKtK&N}Hy62(a=L*)=KhDd;S$@eZ8Cs+T_f=Nz)#l7;0G~}U#fMj&j=G{!N zm2bBXyE(INUafZMWObNWmFbVV^glIil-Vv{&Qx5zKlj(KtnVqWE5Fy< zoN1>1{5OJ%QLg!VHU7lKdB;aoJ2F+@gl(&!fb_V(nzB`!c7kC<%nhgG=N^s^Wm8KN zb#^4$y1Fqb0!o?p?vr%K&I6@Lhj#w>6SEtTK>u1MEqIm|EEoh+!IgJ`I8|XgC&YtW z>%bT59ZWknwX`XP+T~_)7NtBzP8%G^DNYZ%;n~PY1O;OR$H(K*LWt#u zWlMhZiwG%3n0Une2LGde9KET@hDG5GMI88vW&B9!$9xI4Fi9<#ZAdNXDasqZ+mTma zduFm2qlA9-{#>pTvib))CJ~xrS=9acvpj$3CLTIM5OZyP&boa;9EF!_ik(@v5~X}8 z`O~R9&A2X*uUEGsxK6l+iKjkczD~c!?~r`kpTR< zR0$;T=qG?7Q66Gn>$=Nst*xW+lqek(V|AN4A8(=Gt(D$0lzK7-nF9Kd-w7EBx{U|) zJohleSMguHjzi#e$sYFnTxy0%25Eh#f99_aK-^MKUr26Kg!{nwH~$AB0fruDXGTt< zEgKscz1#k^huWV}bCmFwg8=a8#fp$Aoqqk+tMP@hdoOI}9r%q;E z?e3nN8=>^3Z{ADO4l$wgD7hBY8gcU~T^Xg z17p?tyB}vat157M2(U{JjE|4y1>PE~k7Xq5FV!guHMcj{y}I42TOU(bylBDfdmWJn z(1es|WEtFCwSE2Cnkey9!O3yuMGgSk;#~?tMZ8+^yR=dSAZtbnHkkBkkBv^sKCC5y zd$;}*OmY5WLr}_DB@);xVSCpHkiXo*>yyiRgd!tLMg!m^j&jE`P$|kgyxW)kp3L-d z=TU0($ocsh%)qG|XjHe$6was-R=3>5$|le95Z-`=iIEXN`E^qx7&}l>!T=MB z@XE>g*|DnhLG(zAojd=T8+)?TMOD(Sj4kZo>!}}6CW8#fiSTA&z^R8ZUXr#Y1$pf? zLi2;s(G0Cb`lDl7xVu@BwUnG^%=+t9eJ(W%zPYSaI1oh5hm%Hcn!=+5Nd|3Rtc=xeuV}ktV*RSvRs3@FO zK&qzK2I}nOQhKw0J05RiBDGX3OvFWu;N_m&t^$;U6%`e{p?*6|w!DSLC@aqZ-1HZY z4*_rrk#Y#yMnyK(hm6ucui9?^V(1%AH7k=^vkJC`@~vV>5VoBR313|PbUP` z`;JoKPQ-hnwO+b8kR9%s(QY4-7XP`FQ>oOq{{=KG2Q40?eN+FJdj@>w*=`%xmwEo_7hC*zGpW7@r$czqLl) zhgH3+NM1JZ&Q_e|2VVha?Cf9zHi-|+zm8Mz#K|zAeiy$)i(@Hx5bODo8_U%P-@!IB zK2{^YQ+gUF-XS}MnQzCUWfjvdlnl%7KB;Klq}Y@qA->qA(2|0*nrlPLo$&K=;$Skk zwYDm)FDiuNI+Ht+8^$Ls^I5|JP(2tD=$RpL%>SS_e)?1q>rvPtI6sp({=E&uHt+>3 z+F0{B5K<86|9(8%|1&a?U)-t!l4<*8gsjs(WIHU(SEb?R;?rOz1oZq2j-cS7CLeOK z7&S78E&MfAP)HqhWU5h!`sd@x&fWhULr0}?cRH8h_gIowiie$CW2z#7(4 zgqD$ndPHqE6l`=+bDUcqb83jGHnz{zU$r2*I4BgI-jScJnG$YSBaPe{`SbI241w6G zvfaput4r$;+;0^5sf}C#*`gPIhr&QY%*40n`KE)|xErvH6Jb*4a8`J5NUim$ilj#; zujk}ft1YjDKR#O)?W5$!fw>iXRPKri$u5L0T=_1dKG5*b2=s8$YIivY0x}7DAfC-U z3bMbsI6P})5fs2~E#QXK&u95mYnHrAi0op)`~+r(?C@R~y_1$3mz@ooSlt|{?RT}l zW*cV@j+{EMW_}M}rbUF^furg#w06Jm?w-;!GK!XF!aGMsM%0VldvzZjt&{r7yzk3g zh+sgaCA~yF%p^+GIfm_UXalF)ymR#8^w6skRxrq-zIV19(9YTWOC8{qv!8u$tDUp* zSh>fKM`2&o4cF-CDmOzs7f(Ca@qkPdKa%vUnZS&|_bl)NIUCh-RlVv#NurUgadhpI zC-kE;HL^-gsa*>kXh?VNEK#Dp2@zlO`SvY4cPs;n+=hSpf6umkHh`+eUkzv&w~b>6 ztGJk9v^=#bW&7)~S4W+7L(>%J9WWRSA~Ph5CI&+(kReQvaBk}ElQErLk))e_7V$B9 zg=gmU)HeQ7q$EB#d?wHO2w+Zpj7P`%yNtVJx`|ilP)lmD^XH73%Cy+1%k20eIV4@? zqCxFr^_oZ&HrgSn`XQPMvbH6ybNJ)_Ry^DayXB|CE-Wn6HN^kI1B_-=1Q7qhR9C0| z+`hXZ*kvPLYH~(6K~2Zsup|oOPsqunox73!eOPqyPbtfA96u+1f@tC}0pP!!&!A3r znis6v5QrUTc{jah#Ud%&@x>w9aVDci5fvCjW0@Y0 zf>7+r71@u)G^9pN?|zh;IzF7wY*7tXpapVLwaXlDF~J-M^~MAoZFX}xOTWRZDr_%~ z90@Upq%<#S{0MDaeg27VIx|juTwFuTF#VvrgbM0=qcpeMLav%FzQ3nZzBQ7p>ev$1 zc?^$vG23)97hze?6|0aio(P%!ZWBSM7kV7R7O%n)jc#9_Kcp{G*w?DF^8RsrG5_ci z-=JN)tKh^-eN$1vETPST$aCrNpO&Nf`HlD7tAqan3P+6?1qhzqY8w+v-i%?aR)XdM zZMv6NpKdjtr!@c(6x3B|ry^1YA9;ODqGFBau;JZ@*EH#TE%T{5ybwX^Z_sWsx!BxuRnHMM+?7TXUtEV@80SbHc@O!-P@tzvqOo~^<3sP48G~F zJ!#eT=2HD0ghtYl7l9MyU2-(@C2@=uFH-fh9~h?=N8FDsp-{98sK<|J3I++)^r1cR zcOx(O=i3&g!h`J+W^cKok5w!#kWfge{-OO713bxkJSUDTK*0}_qk34k!=yEfs+U3;5j zQ`hAYW-M&NI*87JlD-)$O`@dqq+X$(^T-LXHzV6rRlDa#y5)!R&2>t-_AZ?ZS}cm_G3dzgpKP!piO66+vlh0u#q@rG(5i5 zJqyxK)O-&-kYBbAoW|9T(T?6Mbx|IQkOo5m6mjut5~dZRM8!k>HqnYNq z_vL%Tj^BRaDsBj=>p+|9A-^|(KfIsnE5S^shYjn(jVzU&WYaYAVI@|=t<1! z@JyN>RWd$s;u^|}Abt|rj^QI@Q~e|sR{P)*V)Vyqd~Utx>nPyEp4CdcoGBseArley zE>(#1Ol(F^D|Md^e+c+KHPpt?F+4C6Cp+?ct>YdUnG7o^0V&&2Z;80(NNC5?L@qD` zAw1`9;OII0x}&3+ZT$U_?!?^J-V6@g`8+@)Y0IHYLga>>6LQtSk2*2SFt{c1FyAt0QX64t);a`~8#J_O*uR{0(KDZb_ z07TF+K+nmr2I@eUMij(|ntzP(u)KnT)gSCh#@tmg{RgQ)*kh(Ep_eAOKXl~8r3wpX zG6GAa+!y8C)gO9-i?bV#6LCmF^XgprsRBk~9Cz|wK_UwiqR?)z9y;BcTW{KT&@Rrd z>8zQbteYOfa6a#}U7W|ntnIo3C<;CAHfPu9*88_d`?0zdVI3U02RP5z*qBJt5eLa9 zDXB*&8%Pt#+)d&<1j4*MuLhQYM3YD-dE)Db--;wqLJDFISwB%B5}Q(JXsAdkBrk=K zjYkZSVOCz_3SYFJH8y!@E!1zaxwkN$KOBpi8DO2cK zwv3G)T+6Gc9(P4PN$qG2PpY=~CIa$|>Ph zU>yG42vrh~Zqc5j1}}Yor#Z0S2gqoRM^qog+VvRj$xStqNGQAX0tq8qpb84XOfMpa zL!ej+1k#X5L~3C`O@jIfy_~n7GwX^9yAPZ{PYQVc6^mzng-u_#waD0OeD-UJsuk3N z(hFbCAlb@z!Wjb#D(|ab>|vL|2j=p)?Hl~Zdf`&wYK9&i%wB1s8zwAh`-reKL7m~v zdZ_vB*R)cOd)!1ysZ@i=hDdIJ%?oep+&1xiKcHGEL_BuXH_p{^?u`#`K$l$SC#&eQ zLy9BAA=$3Wtz_T$OE2LOfB2;xI|ERj0gQ2;v+16FY1Wdff#GEPG~@?rkLeYKYYXBT zZYY?JNi%V|hPHcYAQBoPLOA{>4P6q%l!`RPj?4CD2m~g!Gr-7KASojOkS}dW>@`Wx zFF*gE{dWSN*7um8j<9IEY^OpsPF&_T=7SPno^!lDR(Rwe8#h8L***Kpq*?*W2vIZI z_bE7zS`Nk|HSy{h$Fu74~pAz0!5W|M%B0cwFlAFRr|IcRilk zeubp-f${&N!Yg;!ugn~93cIzE@K-2RiAdf4;M*O!|Dw&ajg$W2mV4<^@Hz(lI$w03 z&|0PvF_2gv+o968c@s(xfPGJ3HBW`J$9&C?PfUi-`$_M?INSD(oZ2^1i?wfHwB77| zVc*h7DU&bOqQ-xGG;dV@a!+-@`P{?Dmf6>&IlH@}|CUfZUck-GUDkmn_J)%IPEO)C zNd=|>dQ=lGVsMy9)n3V%o|a}nJUa+atg2%>iJeCHQCCbe7LTZHFB0x#%@hNP2nkzx#JIjgiYl=e6S*enC&NE%t5XV=agTiS zk97N<$KmoNPiFenN#V;=y!+nFy$%cA7S`#}r4!{boP6YF3TmU2@-`{k8l^aGl>^45 z`+6suKIPg(s~unbuHSOOn7t2q`E!UI?)v?wQOia}o#iXgaBitxMsXq;TEvbIi9sAZ z3!vP?h$kK~xO^fan#iHif?KMtP!*fH5k?HJJ~&D;G3k%WoN3wjmj{~27hvbnhOUgv zPK5^=G_oR+Qg!aNxhbua5Iodu8XMC7_K}%~EfR2^oxygn%-)fB)WS^Qh{EBhGdLX~ zX1oc>IjZZZc&MA>OV<5=O*4 zGn>0E>o$5jYLBx2!n{@Vw@9->=k2L+ywT#7bJK{R+ThjtvHQ~`WMi{{Xnn-#2r&ax zf2G-Nc9C6*fC3)) zstxV0%P{?wZl{Yk6B*m&aEE<&$$BD_l^%YQW(Y2wkaVbeO)b(HoBKb7Hx?|Trz-qR zYNxWF$uLW{Mj;?~!2AZ@iMG;AMkcM1jW+TGIOGNn{zlx@EWi8`%;;MZ9AHvFjHEbbVo=eY7uY7^ zet<2A%$6lt@<>v_xRn+d6^v^pdN2^?|1|d&P*rDr+wd_MgAqnS83Ql?2>}BHM8c#I z0qL*+5s+>XFb2gy4<(IA3W9=kj*3AlDUC=-E1ie$+Q)h7exL7I-?!fNuJy9+d#xEq z&iTjQzx|6VW^7S;==}ZvY5e@}$j^^X?8+5AnBkglsy+}V<|V0-l`_$>q*%Np#PHi8 zj`8=L@BY%P3_~;BwDv}_c5u6!5+L+}Ahvqk_&;H*pV`k(j|Rixh_Isq`gYB4leSD@mQPjL`i;>YfmO=}o~-{0 zH~qb197hnbhb7YW03OJL6;bYR4T|Ie7mXy0a%{fpGyEiz>VIK%?q9T|YzAWL)x|rn zJn{hxd+^?}jX(2>Ro(OHk;?d0m_eYIv@{>}GIXK#)W+$O73O}YWNq9Z zY@B{h;xO<8kd*$fjPN_jm6AYG!0lfADxrcyBc~s?R3wS+dp8U+~5)qaGJxG@03it$jzkHYkw{QUfKk^UM*iw#O09@-yR-G7$; z+2*KyZ{(t)p_NfOBON0Bzq)bX+%qiD4bk$#f`YnYq<{pstMdF*{QoHBP2jqpUuW!!@Y%-JK zZ2AVpgo;1M`@*Q)EFxFMqt2li$TT=#n#*;6^MR8fU)CdNY65x-$5{2l@4?d`nVxmU}_u3de4!)gWj zqgA7Rw*H3pRLj?)Fyu#)pBY-PLs^Jx^1v_u7RzXrM z0n1f~Ya$e4lIegXTSMdtt}dHFzGGe%z_$gY-aO~g)a2AWMJOHXENDiD2Z(cJ33$^-f3OB~y)%c!7=7ldt*^1?dGf0xJ4TYRTa6K^-Xwi9eWJ4KAd^@>tLh6x>HhtOR}H(Yj131(MWz<{rgQ@zIFHRO1&%P_@=)1 z-8+tN=lyJ7_9fd>hgmQy8j%0-LN9>$n8RDZLzIoUoM$qD#0hrWOo|dYpqQpeA)( zn}5#bU(*BC+!~;MM!)8-QfoeXEN*^OEUd_^;vsPSs*w)X{-OMU#1hWnTNVu6)O8*Q zOCq!He_P^R6Dh?b>~^(awnr8g++43DB%BmOkOMcrY>f z)hiK&kv@tmzoex8XwiHs*Sv^eWI<6z5my@XsJwDOq-T3!svL8MIf7eB$MT(L?rI!A zev?NvJdv0npqeAuAoyKYH+l&f(?s{mGMkSp-wKxVr{@qB8UbDbhCYC*uB@V>4(U5t zEWoT4l|<)i0Jl#JQOMds9$E*nLZwgJc%PybcjV{W@asY;|?V~qtND%Nv0Q<6y5VA5(GHe+-+>xo2H?BJG z*$EJJRsX%a2Yl{C_K4LmZery!bW0NPEOO|+-E`|(=|+a7kykK!t(nP?3rpSsLsiR}{~)|-Dl>i@0a#mX3CPb;Pk z&$Ul&IsBztO*r%7FvUxD62ytY*Nnn-SU!ZXx9-oqvTTM9@I3!*&#=RU;}fI_O|V zdNdTKT4>ul0dpm*d$e;KrJ&;LUUU6})v{5dQYQuVW_|yvvYRlBo3^Mrmpw_YtilVhxDn z5JrSybp2&@b z!z=YvE=*HU^~jN$yTW$cQSR}&uMS@!%eRKefd1FS3hSJ;18`Rjs#>d6!o^P$z#Qra$LGmli8m8^!l(qlBfivYJ!dlQI{F|IOgzGvn;lRz!-4Fc> z?fmOSTmDiXFJYnAXR(|9mmei(52^Mp|5Jf<=C=&?pis%fU}x&AuH zpd^l7aQpg|9A;)wAuETLXxVjHR(}uI)>Q0>(Kgs2YQ-=0^X4n}?9n+!c~cIpr1SbQ z7tXV?vuJcWc3i7mLE%sBuN@a&kLnCEn=*@t*1T)I?I}NAx=ktzRikpbl3Q9-nO6K8 z>`0&WUuTR>D;l#}vJ<^@cEbzn7M|zE!fl?OUzhUQij9F~@Xsl9ckU0=2F&GZqcOG; zk3{h5RG|Vj6rjRw`0yXA$%p&*R)VG)1bvy*qUNGXbcnQ#%u}sfzqinO?8IZotAl$h z_UU(ZxSz@!IpqJgaC@@0l5>ZZGEjMFt|Lb7M*w84C;J!!3LCdB6^FN}LyEQPg>iEd(%9&EGfRLxe58sa0Ca5L(hK zvwnB>-D!0mnb37cBhnKpd4hV~M$XkzriN%&ss*hVU*)yGYpfi(bj4pIU%ptj9E4O+ zruhZCSWbzqZ%j19LO1xgpo%qZS-8C(x)}`FGA?SEC|+*U%j@1?zxJ}79nERm#A=GH z?1u{Y|2d~6>mKlIhNrhz`iI_2hj8)Y+f0u+XJ0{%uvb|lL971jn-Qz@4A_=XVR*Gg zsyTLtpYPZyPwo&^=MhU}Ni_*kp;aDpN&P7inHDOWCDaERPoblnH^A>tD|P+!^#1pl zIcg~XiIb7_E#7`T-H)w#ViS}$Z|0s4F_^>4sSFQUx@+pcn~f$RNkYdFgpRUk#lTp} z(ZkO@7n5OmL+W-#1zT(XARejlduw83rXDxl;@}vGqV=v_C+hv<+G6Zexwu=5Dt{~{ zL=Ck>NejX+gAc4!Bn@@N#i#P`73%~wZE-ocY>2uL9@x_{z1VDltV?0IIYjd~g_1Ti zEN1?C<#gV7mH%H%lczjU#m6xkh7QZf*tZVyo-l zw;puqo8|OCM^KBBA2ae=h!I@y+p9Hv=W^A#&1nlY{c`7H`0j4%sjp8qTmBtR*bKE{ zq6hL9mqlMMFDvuhera-`_m~G(UoTf|)zC8q{-BbRHFhQ&JNbtk`H|!PIrR zqrIe(20ti7Sw1 zky54keIM43SKg_XsZLJTtCxD%p5(8vxM7Q4`n6@U5~A)|vww8d!we(SVm?6zD}nn2 zS&=Upg#(Icdf3t|vK<8yo?)kC0^x6!hhWfk90*}t3nVUi-dEUHhZuen>lhm42$W)y zd$O#rqVufo`t@s*wT6dQG*(5uc~g01L^jJYIUvG{*4OlkFU_*!%7B#PSS&E8@#44s z3Oy#b6e(7yxN)?YnZmn*i8JV(pK}_FVt{R=$1ib#Wwf+&l+{<6d>kr8YwESbuEs!s z#dF1T69tf0(9m%hE##?G3Td4^lSFkrU}7kLd-{59ByHOkz3)OpED8$L*caa~8Q(wJ zdE0ltadpl_O+g-jc{f*1pPlQi9NFErk^8`bQKQ{H$1Z<c;Vg3FTIVXm5@EC zS$E#YhhesJht0Giv580oD?&-?co^yP{yw`>v_f==^!7xw*1z5q{Z|hoD^hX>D z5!r9jd()W0+X|1Kdlsos>k%sY^6L>;U~_CQxrv9B3qS%?B~e+ZYqYh5ALfIxX%oW~ zy|7qD^>r=Z#3C+NicSGdffgKF?9?U4_KKz0&ZOFSx3~_D_yGMY`y7L~*$;IW9YFZ- zjS^e@v_nIBQ6x=>pMR-pqTzX^7zZW#_m5RUBgGwsLi}YH&mtQ0rjc~P3u-?=5Bi7p zpp~(-AXipqXKg=`C=q7=?)Qvii$VGoRgTdHw&H7PC0tT%3wnB-iQ?NpypK0~se*_^B9{Z!#1_xSH*pOPG#baXSc~P??miXdHo5cIN*k?b+QDv9BBgv% zZPM0x2XaR5;6-zK;tv4(Y^w1v!^;IQCAj@}3M+(WE3+F79KUY|Gv?R#2$C3d{q`Lo zUE8`3a*9<+?YfDvq(Y&4m`(?r71)fve^XuVy=UjqL!*Z^!ZC%Ltum}Fux#c6wxqAR z^5Y|?p}pwZjt^`VE#p*{>Dwl~aYg4DgwzP}uSQ~K4Gr~r2a>TPZHqOK{Gp_E z87olKjyR4Ac}z!Ogm1cPZfbb81=;y4mzN?JZ%Zh@I=ze2p+b9=)N+%+H#@-ADw}NV zt6!QmqZRZ^Iz49Zi#&AA01momAmm+;_rqrVPUv9O#ME#llPiU{B;>#>^GZmhAb!&e zB#JdDkTyPkv!l)ChD7a;$wn2Mg_32{2PGtG1kxV2erG;>wuow&Van%RW=y_Qw=%S* zCpfGtAjnj;+g@cHY`=gr{!i~g z@0CqWHB}L_8iicD-D$1i+r~u$FgDL_FH5$r;S#<*@_VA#<>T!R(bpxMl--8*O~cx; zV$~3yr8lXxwrjiOOmyCWmq5t&*?XH!k0mE}Uj*bMt|_CEX>!LgdB5KS_yYMuR%_)u z@ie`-I2J$J5w-QWOyQLXeyg@;oyUB9r-wY|m30fm(^9pbFZevnx^zzZ(TYDFqLsR& z+ZryRE`QrNkK{u9s~v%7y5kE-M02-Lgopx+82roYFbM+DK)yCUWW{moygMohvLQV- zkK4LXUwh0C#EutG_^jpf4%C-dMeuwYNs^&G3=$SACAqU}ZM9V6)kCYI4fKnRFj6fX z3DS>^l%lT`FZE+M0@R}CCV{k+1AGvC0Fdcn$C{}$&|!RN=_&wKt+m1{c)vjrDLHk2 zDTI3bcejaFmO~@YG`_D|MajQtshu?eKy54iX-#3Yrt6d4`ztBDRygntW%Tdf3y4>p zG>*cfRAfYYD*H(9)k6U4-M;Vek2h&bU$DA1b0n{8ZT~>B3Pnn&YI<>HCj&6irEFLp zf!xDizH%rp_3!56E*dHjoU znn8${G=GW=Z7*kJK5|iL64TcwuOs3MrPQf(BhUMOz`2oV6faPVDizx$O@ zVi9SD6mF`&KYD*+$P zdq1V6Y0nWyK|Og?RKFhH2C@^9F16}}${082)psAs&aetY&Z|B>GGcyrS&2%a8}!Yf z2vg%essQ1Ij~{EEo#By#K9p&n8+VcN8kbuCQ;G@-BaRuS8<&&;0`(fZ?P-WTcBUl@ z;+6!k?05Klmw_ipZt#r32*T7KdpXZ|X^~z+_LL{{iPjUlI*7VFITn}a=rMMX5+Hi| zbgxGCNZa^;YE;mM4Xql53lshTgcZB33DB2WyvQ`;RG*!O&cn$!v=h_rAYvqN*d+sms5Uh_Bl59 zUPgIn0E5rRj~A@=C;>|Be=PF^qj~#bvrmVMQ}*@a|t(q zD;sTOy;^VK&yzIP%TQ)mnm&laESerFa>47v5y~#9oLbkMIiCHojCyUpGNTU|ulrki z>V=l0g%B4j&nz=!)R>}618~nvRt~|lQ|#Qi8ZcMx+~FC9#0|G6#4CB&@Sk~ee|{TZ z@=#P1K~!H)e^7??&uTPIq1AAEy{Vj=t%(T$@b1Od6pALRezszUSw2jHBKWZAH?AY= zBjj|#gQj|?kKEk(OKr|^h)9v>{dG$8c}JU7b=Tjz6;d3Gs-Hhbkv4)~@(hkJOrOuP z+~=x;;bB)7($Vp2R!!<_nWip_Eu*ad)4Evjxn7UawC9o;%?O29;%#Jll(O(=XR1eN zIM2eYm2ICH=t9z2_+fi)MqSo()-7&MX$;ZfNd~%#Dw%}=0RdbJz7HM<%@}Q`M2PRW z&pv3>7<*?8k(}4mBoWU<)sF)PChZ=kdZCbm<5PX|1bqM`Gozopzx?^fr)^Ap`)g== zZh5nr(Sx#Hp&|;{IE5p(*k!Cg!lG5QWlHIyKBAKQa(%5xe!u4<&*RDf=DCf!F>7BPpOMu_~%Z zbLX%07cT`eZQJYpLnUnNdY2EAD=j>H8_V%8MTTzUl?8KObfzOvH}>w;!0!u`Qvv5+ zw0!hQ4Q6KJ-gtwuCr*-+5=A}Va5MLF16_v}4k=}KpJRvmwrR{wRpvuQ-qqWok96w_ zXk0v@W9{y)j_bCPTW{69Tz4C(b@Wx2QK|mHw6;N@Vf9}9pqJxi8|W9yxAQ0o8Fjqo ze=nbZCAeb;HVMxq4i2Lq85nmPOBVNr7Uba_B}9!m#aXw)B-7j}+VSD^2K7 z^CG1tM?6Dciuc2KAJ%HKx(2kGS_eULd3S&O*EemUf0Mw@qoI=8K+7Za=w{v1H3Yd>{EIETHk;E+JBLgln9dwjx#bBVopuft?4U7qH z+NR$qGanCBKW6qcREer;%E7}|UGQh8sPzJ;=2Wt7tJ6^`D?7U(e;UhXJ~XHKR6|1G z{)ZQ+5>}x)IpI(pT)2T>esK(2N;n=vXcEHVw^&8c~cdEF4Bmjwh>>OgFiiM zSKCCkQS={Ap19_h`Y?$)npHiHzA?Bg7OJUye33F@yN+Qr$eMs2i_>tcb36`$Gf7=- z(<>>7IeVbp_j<8K6Hj)iDIAazN~bR}J4z|QsF_w4Wy9HFhsvo_L$)|DzHDcg?8W(% z5l26t#2nF*PLG>k77Ll0%1|RueTvuG&Ns|)aY}82C;blcy~TY$^dX;S)M+DM85&|Y zUKwAN4o2D-()i+z@jktvrnVyc1W-R*C-?0mw<+=diQD9!w4&V<*|Q2t2aecjqpjm7 zgVql|EWm_p1YT}@?~5mVjfTP6Q2`g1e@|UDX?%^ZJ!5)AwC4?TglMK_g6e}R$!e+S z_SiMXg{vrkR!fI1y=gJ8t=Q3kkFjCv9%XXTIC=7~NVfq#GR7q2c=V0``h7Ez26J1u z*WG%-G8^tbx*8m&^v7s|;MlMf??D3w)i(Z}|%gT^MDT!X4v4I-w2}p8iV%S8G zi!f3d&{@_|3q(Qio3FetTJ6dOxj7gqvP~P=1q~eoF&F@vLLNhih3}Z8LjtJHH32|z zg*6)6iZj;|YIBeVp$lNCeEDhX1KU<^~#$yg;4xA{_yL?jZ*8ND%a!?<}gT&#QEW!3`^H$j< zP|GwBB^4yn_pPwTxn>kYMwXv{02ec%BbAO(f?ouDqoKKz5_)5xbI=ziDrbjw35 zF(Jz`Dc1N}QqWdqpsuTQ{ zr+MOMMP4ni32H#?IN-S@Ls;6ZUYjCY+G``P68g9%&Dd!1(XJ6bqk~rhriKtZoJSA# z6i$x~pi*Iskz6sbZYx!ijj{k4B>0Tmrwz6n<}Et?DkToDxm_{~^>Vshe0t$XigT7g zQV7To)GIk(fAbr4g-mH+M8tF8B9bxA%(5cmC}PH&TO0+9t=q)+CvX_i#xQYmCbN0t z!`Qw1_ML|3w4$Qo*o>~(E^hA9-Dw)_dxfU{WOFA2{>`iXTBBW>1Eo%6EF)3>2V(OmZfjId3is4dmky< zdko8y~xVu?UEE1o*l2rrpQ z%s(wK!poa#wgCR(5bX#9h4)N-vi?AWpi*0&Nl!yuykbjs*x9*;=e>>WlGg(xhFxFv z_{l(k_e7#r%IeDJ$$Fx4!!1#^jEQ2_*G>j5KYwC5#pJzNRIcY^J_R(^t3F_5$bMel z6_pfZqCnloU>RX!B%Fk6zYMUZo%l94xRTWanYeS5*hOC{_<7Rg;>AmKiKhpE2q-#; z~z_^`4et*|5P9@axY{Bkovxyag=M=s&-l z_AO!GFY$o}{a$7a^})eeG*oKDtf&XA53Z_q9q9hJ{kbj+uuw=}w7*6TJR8@9N zE&f@AYj2mhVxG&bfS{XR7#S4AqX4k9;>)N)462FzQ%Fb%K@iO4^7snMDk}OCk#-_7 zgRw3or1V}IWgssnx}3y32s7WBZ{(zogAR_cXRd}*)+_r29PLOUcB{J3TJQZ15m$|H z{xj6(%yRcav~+D2(}W*w+Jb|t7L%j<~hqu@xC;m$+z!w;mB-X z+(7-W=87HP_T_y*JUrkca=%%P5tCI;k&4R7@IxsK2oFzzJk21~4|&HTF%~5+h1f}^ z7R_A-2`OwX|B?NTn@}@SF$6Xka$iRIvC+&c-%t`&in5{V0|}ct(T60ukQQ@g)xrEG zG3%gBd-jrCWiY`%Fy~K=8c2809H+;&{N2#|l~9OzSB0 z%|;yAjQ8MV{wEGH9PcckM>=R)H5)lMIP;!7T8yaI|13GR<{#S>smVHx6Yc)k{D=>O zkYujs4mOA(GNQl}ooF}f!!DsJW+`!?ELppjdj5h+e@921ZV+^JW}V|X#XD#11(lj# zz6rR+h?&iK1ssu{0%M)rEIC37_x*MpsWuOFhO^a{C_$ z(*-!;iF4!m^Dzglnq#5Kl|4vk7+moBbmWj4#g{`ED;OuxQ@GMwKuhLC`vu(~=)}ho z_i*C>kN`nn8Bw9Y{b(`e8lH5*ImykX-dzy+VbyC4;8wr@TG!x zb%*7nE7NwHJ%;=qKfK-BifJZA5h#AVx)3T|0q!G9jF3Wrsc6I*XMdvsqLPgSd<)aE z2v6E`+$^^K4`u*2H;= zK(wB@Ka{lrWrG-*wxo`wr0k&!R|AF33fE&G>|CW$Lj@ejv`_-%##ckpSK)J4-T{w! zC;#Q|fNhCo6xy3#KUilgoN3XwXpkKAcJl*D8JUk1n+4r_0L3&+KM`ii@^Jtu)j;|_ z749V#7)=rHK!O(oro$Xu7}zcaZ4zgRrE&A|5n3~I#p3od`K*y{VyGWpK7tMg2jxc` ztp5!2TL*!^xZE)DZ}+t(900vRBG3c{5dM~O891a>}^c&{MB%n+gf^0ZIf{%#b| z?u>>kiM0C`ovp5ZTmaFgl(=I7b#D?U(tDY3vL62O@>ol@HPBU;v1Uec`#A1%Na+Dk zK9*Qbp{&e96N^z8^9X_Rq2nDnr?-fy9?w{vi(G6ii_`Wf6rm}BkJl@F3^&icmGR# z-soYOTBOI{oiVsyaDRFy`;aGdj+|Ur$wJe!@8faXi#XVf(>|-YEfltM?3JDCSQ<-} z+*UI;S>xI_8!Kt@n`c(j1%sh|IE{m^?>qSGOfDSDYG=YY0FA}2fzMAbdXGzcC_fl~ zDmTs+EF2K{Od}x{ZHb@9D??8t+_!CLOx(f15O`&2*-WFhaqg;0?*5T{0i#dA4wSTz zUW1pN^>;OdcK@PM4HRMpuIg=hQ;p~Y#&XR^&%L}bJBY-(%AKz)$}=?mg4}1T8#l&R zHCi+VK{%O}J>n^gl@9zZq}^ zEIMh%9jvFq4+RD@wh4WqO?$c9USHsL?7jDKF;Zs9J=SXehfTHmJ8@6WO zpg*-jDo$|MvF2iY=kXI8Blo|X#F8*wbyXJ(Aq+$0%Y(HwE(dJmX|w$;8Pt`PcX94wd;DQ(f02%fk|N(p+!HU+r@oc)T=K`Y2Lpa>Q^( zj1>VW*f_{(M1-@9by}2S{o`WlA*o4L`;Ax}`t*0_rIDQ~awS~E@-dt%*x85sIA*ob zAw)cOqEg4+m8QqmY0}@6lzsd}$1yE(n#8-rC**Y>D)bDQeyl+dvJBfBSAzoAhou!0PFbD>SRZw+4k)1xXA0*p(8u% z*nL}}T74V+_ebf!Pw``52)Q9`QBQ4t#h2%y6(rI6>V@G@YENBKjVCkrqd=3IrF&cZ zMkAwlhRAf#3jTV%R~s#cf*T~&peU-y--dDpU!=T}z|~dr9cdfI5?u~zrELFmO~;tX ziSmwphbpX`FVszN=$J`2BzX1;#OFyjwKYF>OR= zHnlM8;`H=TfBgvM1lirw|M@yJd5`&owhorA-*A3p#nn5xpsaSvkhTOx?MYqo?sZ!< z3*3KW4nmF_I6`4KpNdsG!%V*eP4NR}Zjrw|m1C~u__2yys+T8yQOVw7S-%6UauG|N zzmxVJJz6m-T=eku8;=&5l3$7Pn(KT~9HY5lWqzN}GDhbDZK`^qmD=-0!Pq(^R-{MZoq%|AbE^xL5S%m4j<{Po42 z@-gS#YI$(3e1=0G_NjB-laL(Tr9g_CkAs11|A3GQ-5avm!<3}Bv|m>mhh;21?B&B+r&Rj%^@Q@ zgPeH7WNk1pP$1Hobo-1XGFz+@wgJY#O?BSQ~Lfb5^xTj>_ zedpG~F*tm9nVXYN zXBUF6p9*kz=>}gb7@2-pyJpQxST}Y#3GUkU=9yuB*2Zny!bkO7Umq>9L67kxJ8|)4 zYbx4VvALX|mZPIp`dAoi2t=A}E=-WuoXC34J6@V3e&K?yx0qQ?O-%~OTKahJNVA*I z#4uQFui9*V@2&|$!_}V+N2UMhV=NPDXkoZeXei#$GKIJCKr|aG74PFkdsP}%=ttWJ z>eC={3GCi27i{E~1iI*;lOTj|NedVqEO4-*=97GQN&hZ@D?-{s4@@SxN5cYT;d~=G znp{9EQ)9tU+1a8MFx#aW{&LN6IPI#T-XyA=w{G4H_`ca&+^k@q&bCWNSzS=w6)n-EZbADU`b0wWt7a9GLnh=%LXGIpK{>MKKj@Ni!F|@&D0V zfhto3-D=XBfxBRmqCui-=*)9H8e7zZDNQqdn^l7Jzp_JCDr+^=!|jYYOVHgs@DL1b>778SKrz3{Qg| zj?2starmw#Gx@ChFB?H9;2Le#jD!Rft%R|2{kkvh zyyo`m;0*Sy+C3gs-QC^ap+l~Pe&^&Un9eDY8xg|7zI8n-sAkhf3ID2P6rOv@yCYqW zo;v*Vrrh+ZnyW`T&quoPJfvC9OVZy(-#L2R;`sGq1RplG#9lsj4?kDpC)7 z?}@!Xu{L~mrviCf?JnQek;Q;3AQp-Tst-R!*9xvzQ5EarSrL>Nm$Qw(vhkiU3uC9> zQU0&6{Lk&B98Jmgh&;pI6Qt;}y*dzpZ-sOcMOy};ERo5jizPSND47NNCj9@+ohx2nKZszO~QG7DtyLwczex99_*; z&OiHwHU4mA2t3#IQR%-#m-nkyG3c2a*vnXW?ccS0Q-3@rV(dGHCcYju1(r$zf`ZRK zOd%GjNh1aMlO9G$K>3p%ICZUC&J`N&_kPumWI+)V@_+60`Bu+qaeGsIX564}}PC6z6xpM9pjHSbwIu*t7UIW{#93jf72uG}(v)W|Bg;_^QWy zMsb9ToGqbPeR**NRMpQ2S;m*0d?gRw;yY#EOPq1BMTl!aUOi@F^80f~+@^*? zTCx%u&O}#iw)RuP9bWx;9KEp#v~$R}pU7GlFnhh^-C@Cyu?4fO^p_#^J``t{RYOav zj&-m>bV~Lb+=S!Mm($c&w%<--0x^d}btdIhPboT<+<}Xy&KVMJ7<#M?AQ+Qu2hP^6 z$Y4s5Rgg%nbh_-@RX%x~$XxxfB*S;UomGF_bx-9q9=L+4Dw=!(R%vkw34KQ8RaHV` zx;UWl;Nf{F4?+To4Xpug}bi+=G zyF$PPZbtMoXx+NZYXG-oTWsFESqlO6Ib@IramVcg&#D6*EZ1hh{jB_}jSlJet42u= z*P8_g-MjbuV0yVw2A3`x%_rvdc?==pGSpH?m&ts({>tbz^{)Dq>6a8$mdO<%uFY4HnyvgTR zF2xu-dC=S5B_*+RV5lkMIWiAjzr$nlMHV30<#T_`>yHmh!B6Yl`dueUUI1#E=G>3~ zH+z_H(ah^PMDOv;4xA?S@hV%DsG{fJu1=fI7P)9d1`#x!^R-U@`^{Fm+9BG#sx+Pek?Z^XXmKO{Pb>@v3&yK7 zjvl>EI71l7LMGs;L&v>fR|`v`QL%=FClQ<--~0E^;6-QRvWUP-Q&SU)SRY7e7|dCJ zVC=03dCDxaphlg&+=5)vtmO()#$02M_=E<05_9xF|R` zuOfYRas)}k39kORzBcJA6MNkZQiF*Pr8$g?R+*vOCUW>#Pq ze*H5#4nhA1>a~CS@c*e6?6ls-u8<lWX(z)j7!L?cY=(-|XX0FrA-Ms3-_|lRYM}P42a(^8 ziIvFm5GNGJfjR}u&wX#-R>M4-jBE>$K9+s>!26?}d^my$`8d3xCs_Oad4s6}>1bS2 zyo6u0|K?TmPv3z;F=@ey5k2>MrGmQcQuA$C0RS;T3|T58B(<@9H8J-9nb8sMuL|mF zY7emr6LuW?t2Qs0fl4iXtG z@vp^X-2lZ_nc>VSgwdtNQP1(Vc_a|#V3Xs~si7L19M10G$6W2>$B($7&zOcd5GMf< zk-DsEj6jOv#4(9+{UGi^QAMR55duk#fQg9-G~h-~tExV5UWHy7g?Cv)3#HR=2;ElJ zkB+O9F%Mz1lEi^u87^^Pdb)~zFZI>cSvy19(v4S!Yin!kUtW*{8$}q?SK1Tgz#`Ml z_-Mzkx7ZY^#QYmYZ;yK+fh<6tp(y6*Q%5MXKrBLunx2tC%qWPhF}|c0x!{@3>x-k| zl4mhhc#blQY}hM}FmZo|gI=Dhm1guDT^qLv16*ba6UhuHWgJfE-}{1z#r?}AVkjE%4c-Ve7=+6om_@hx>ZZ}vAr9^TW zRAO!9$M!Q71!<7=dSQiOn3dqYb1MLD!8c`(jpKFwMZ0O?x_@@grt{f@btsWN= zP;gLVWngA>yc(7Xl%W^x2X(Ah{179Jr6?Prth;$m6W>2ym0@#AyXf>`VX+-MR-TIE zOMRh=7KbIwV3e$xgz<}j0F((xFSXzn_Pq-mdPrWU#K-^KG#$FTkzNpqbl^^v!5tW<-?y`~vm9;1(Q|EnSWE#piKr-j&yU=}^80-Ra(mAM*Fagme$a~Y zLx_GuI)!eTh+L1-q;V$U@%nS&c_<+*t}b*c7tEFi!gW}zaI8!qtD3+zxD^mf^6;Od^k)jYgEMAVu|+?WD2NFg?4bzzKoL$ZOH~0 zgS3t0c3x*h4@FD?aLUeQuo;yzH#etNoI4I!NH%E9QVIa`_`~QV(%ss|<^@jdT|RG~ z;Q9s$x(g#*d*_;PaoeK;S}C8{om-z^l?2btlc%o8LM|kg4t$Ni3ZXQkM^@4^oi|$3 zu3)H8rxA)82j;M8FJA1$77#!nqDrWJ2iLP~@mXRrq_hNZ)RO~`ICUdZ(4&*8Dw-11 zSb}OZUYgS`a)(gSb0h&c)RiH9rG;7oU7UENP29V8_hoIBbh5Pli#!%y(f<_ViKN7b zgHFb^DW{+Q)sSYK26cr&5S|;oSF9rEwj){^e$sP^LPay@Tg*T@Y6v(AU7=%P zV%A!hFF(V*CnyQ!9>;mFjcydPz$n~h zfkw7Y&08$Hvfq4q7H0mSc&Y!v!t#`iZlT3Qx?aWkm{?O*vSP8R9s2P9tGn811BTqM k9|IC;|M~g9sGq*X`DM=MNPpEA`eChbLiKp+(X-e8AK>kzu>b%7 literal 0 HcmV?d00001 From 79c9e1ff0c6e215daf342245c25a581e07102e9b Mon Sep 17 00:00:00 2001 From: Marcus Baulch Date: Mon, 3 Nov 2025 11:45:14 +1000 Subject: [PATCH 19/27] added some output predictions to /outputs for visualisation examples --- outputs/prediction_000.png | Bin 0 -> 118544 bytes outputs/prediction_001.png | Bin 0 -> 119470 bytes outputs/prediction_002.png | Bin 0 -> 132868 bytes outputs/prediction_003.png | Bin 0 -> 134251 bytes outputs/prediction_004.png | Bin 0 -> 134097 bytes 5 files changed, 0 insertions(+), 0 deletions(-) create mode 100644 outputs/prediction_000.png create mode 100644 outputs/prediction_001.png create mode 100644 outputs/prediction_002.png create mode 100644 outputs/prediction_003.png create mode 100644 outputs/prediction_004.png diff --git a/outputs/prediction_000.png b/outputs/prediction_000.png new file mode 100644 index 0000000000000000000000000000000000000000..31fc1570c063537a8811e0e4403ccd89179288bc GIT binary patch literal 118544 zcmd43cT|(#)-4=FMMS!QB8VbIx&`S)K~z9Gg0%1x5DYE!76LXzMS4?O1nIr^1Vp8X z0@5LnfPmBxdVo;A{dmrM-t*o6?-+Lsh$f`$vesO4&b6Ps(bv7pc#``h3`yr)E$1(*bS^EO`T{#rF7lkgk%gt^tKhGRm|B*1XV`6|C9gIx;504S zrnFz*+VIw}yrg=A_0-8HmMm94wevs!c!bq1`9p=5@8%kH%57*2P1!eofLXro(Dj4j zX@%aLU(U}-3&>~c3+$rQVGK)#7N4=Gow)e&e{NtO8^?Gr{O9h)mr+*qT1Nl<3 zZ+!HK;0~5ZRgTlj+HhaU%aQa=^wHE+-t5P@?}Ep%Gs|pXMAtYsnvhwB^n3>^p;VQ_ zl~7fs(w`pX{_B5mxW*X?q}kv>)UVeG4YZvdc{yos3ySOW$yj(v&3)`houx;I;Bfh4 z?cIR&KR+*_KjZed@b2vwLpQL#e?B-c?a_sU1v8u9`_0wV{Ef@{9WrP=dHYvn&`T=0 zi4R|cZ2S84=wOL;!ZaCa#zit_}nd{!(A6-yQ? zX=F2n`#;_dAdOb}k({g>ocAv(CMugJEq6e}-)_IF5`$Bji8Fey1x3TP+QS3t>gW)T zlgm2r>L_WedG`AC>+e5&_}m?Q;A!dpjbpnlc<*kZMGaHUxX-!4LbHlf%0goC5*F1H zMM$(05%o7LIMoXVT9hecFHp;Mbk>KvL#q+KjkM&zS;f@_)24vBhHC!WweMoo109v^ zi5DU|lneik50BdA`o)!Z4obAX9F5lvMxp>tQxLHda@G9?TBkOeOAg`K~B7tt+C* z*grQ)+>I{n@$rJB5M$k;l=RI{Y~hh@4TMceOP`U)X#C!Q_5OhCMV*|SoU6*p*s<|@ zBem{R9=^}su}U6|SARnD{BXDAu%!aC@4SSi5ON0`<(5jntn3aooo80r{)pGjy?F@5 ziIJW%$Kp^)TYvxQ2-O3>y(!fL+bi)grbp!qy6gD@993YJ-UAP4T^8$kr&<;d_bJ54 zp{9dPxs4umgOZ^#|8@Jut*Vl5B|)17UQK-ab9en#!>r%YGReU<19(IEg5(Gr*|Luo z2aA^7i<=Gt8mZ&t)-dZmn-sSe`r%3hdv;EaL6J!rg@BsMjMZ&9M_4&N<~J2yhd%f! ztnw^YPvxxBVBzQd2L&s0cU8H`Xfo=TYt3pxO=A{0PzFihah^>>Eq}%n4}4NQzKaYy zV9@&D?OewdpbzltOD4QjT&}g9TNQZ8Qohl+8jj>)$reuaVsovZ7iyg1B{v&kc8z(^ z8^7chazDAPbqG%llmy+7tea*V^B%JDqvDAw`h6SU#Y%X#DJ#$x=mo8@H}1_ywPouh zgO3^yHUd#338nAnlKs(=tiuElr^nlPJWs)QzMKArMz*5#R-Dt=?rMm>BIaNt$9;D` z$98{rGk0iFZg=jJ`*Pi^{o5(soEPg|ip;`ke*D?l*`?47d`1!5OAe~%#&RyNrM9Sm zPj7nW0s?N)wZV0~{ux;UU+wY*gn{+s+^5La>1n%w{qoj3u{T=Ru)hl{y10kCmyPV| z54f7PHI(+}_1a!Bo;zvH4uurojxUG?rZ4k3m(9E459MVQ8I~~H9 zG1O*(wQ?y&2~6reVT*+KjNAmsSxaf*!d)5eV#jQMB~-iMkB^q&(R1p2-%0BtIVmyz zUFmHcrj`bN;>ZS4^|SqMrS%_U2ZtaNACQ}AnY|)|AwXVkT<;<{sH}g0W8uCv{$DSh z|CRjV!&$j5C-{1j+Uyw(12X1d9y8|YScAtV;x@8AqxDpFrU@YQU*Raw;?xu|2d%uo zc64<7!1X&;5$M3uwb<&OxM(+DH3 zZEX10iE-=Qs!gT^10IJi)Kub5sv1$FF*rwcBb|9BNVc5RIHw`Cu)l>o^eI&Z@f?dH z`Jg_ge)#Z#fXGSZ93wAPbT4C<9!oI<<(P>Rwwrc-B7JJA@TmY{vFc3nb`$$}*M^_G z$&cE$L9y_hBqQp(w`!&QJG29&f_FMYaY6vzP0njH-T_=7)xGsBEgrpSL0s4jz^TiD zO}u_c8maeoBJXqu2Q4?5-sMAkk=s-c%J4Zz@I34dr@>mPj*iZzBzB|s8KsC;WNkca zXmL}rX>W}{L&p<^CxQyGzWm-!*$V>}Y+{UjhC&PuCd+sG>$)}=85vA`}*K)rjZrxxbg@jX69ZAGZ3>rgH7=?JkzIDH2vA#(Y#jdQ3rqxUvovPH2o= z18wnNiTmTk$u32*mnztByc+=ji7Y8J;tK2P7rp})sK#)i_k0?{hp@}uwR>xw<2dw^ zEg!=&H5?g83xSnqHu7LD@`|b|-`?KddUu=rY|0D!iVyff2(4#T4|nFg6sDGJqV&)UM%!bv zDqtQ?*3=}$>wi)_yFP>PWE~^7Fi7!e|Mp601i9;-vqyFeTrk4498!Z1rMCU&k^oZ} zQJ&unSQhW}UL35$2d^g+zlLzZ&p1nIvMJ5VcYlV$cg&XP_Jz@JEf(|caG!WcLLHhm z?Q#UI%LZSULwWi5aCV~z>mGQimYGEB2V#s~gp z$F#c$YqBjh9UefbyaFvaNK4^TKpH46>v?+Ulf?aH-?q_1D1vLj_N?HW_VH-4>au&} z7nhpxL5kdbW^8MKb0qi>2jxYx+TDc$_ss#*sjHFx_ldK_gRPohPo&)j%^V(eCP+Zr zSBB`z#3F%#IxU*bA+CneZbD#!T2WVRJUmkKryEU1;vIqn+Ok> z*QH*vEE)QuLS1?h8N4@Dd$7Ccey}rpDPjuevgG?|vADtYqj3)bMGlV)+W3SfhOHe; z)K(yB@WaTaeYeRFuHUWakY8^MS-$XXqK?}ZWNks*4Wed*&0=51K>Mbg$39-EYyXB@%1;d%Tk;;>um}vm0mv$>;hDlt8mbt7T&HxBK06J=B_DY7Nfi?;1JV=Db6-)q`jP z)fU{+Rqud3g4Tcb3rGk1Y2OGXi?$0JrhGY6HHgj)mtkCls{R+kxxbb|tk>y8BU2RF45!0;I6 z{PGZ#rgIB{fZmETHm#m(y1GLC%qTl{rPONhv?LW-D61UUm#u>x88NG2MxyZeHJZz%KKB=>4dk?;`g%u@rQzf$+Q50<)*k8T5&NvH{@ zV4u|G%qDiu5TJ7Q4}OY!D#M6Tz0K;!4ZyFb?=B zv3}eY35X_|Jkl$l9uufW*w|BNR<0zkgOZgw#I1E+Yo213h2p)?B+!$h%XmTpJl{?s;q7tZG zzPO6qpyJc;mFHX^O$xF~nB}LVp1HtxdlR=fJhu+G|AbROV64;+VVNM#3Gkh-e{r+& zUirRu&(e~!^*K{(v^Q}UFlDHA?h^2|?w8V5-#OT&VGb70l|~ij8H=KiC4aiy0#PCy z33sqr;!v#(h`?;mb)$6}JIO1h58*)a*m`*M?*BNj@R&;v{k_qrM@At70s{UyHU`DL zqF|o?_GIYPyk2ks5w+D2z3)4EphztZRX!z*3G^VM2$YPOKeEB=va7G}D%sREM0eU0 z0|gzW{K7ErB~;pI>9urt+P2qK4?QUrisVMmf1+7grNx zkfe7=^A{40*CL{zqG!F`s5WeP)18No%K39Q z-FDBTQUSlhN*{dzJZKwvIHwQx;m^-xssJDC{{8!>oQ2)DSkibl2vXOwkb<_RE9(cL zzaliFR}Ye#cFz6f`=BJfC@8^kHvy65vDp0c$B#@^yu0e$#}~&>tWb+VlOqPz#sjN)zmDd$)ND*IVp zy%;nQ-{<_upk!VNz@7&`fHcRYM|w8X(23^p>GZBS>PLB$|sP|_@)EC?o~=p>{!_pss8UQI9pvMNxbGBFZk zK~xgDgaQaWZV03+nW0ve=QO8OlpwT!YV8Co5z!ExkZf)pSN0t6L6c*l=Fp0`SV z_ip3${W$J=>FsXt&Y95YpSiz|OMEC3~6Xr$f&p5}A`k*6p~XXf=V*LvaI~JU9huJtp~S7BHBzLzbR8_UC-YX8-(I z8R-tHCSw6`(}J>%uvY};nj>)$qQ>`PjsnT#!$-&K#ZrvjGKZ|J5e>iLFXv_S>8KDt z>jG8JdA!~`XXCSwY4C0z=J#5s6o3PJ`{P_zUIs)I#0RWLk{ih^fHJG9fU!lSx9toE zJ0R<3I0L875$90dRCr~<_2R2rT1QB_!~sw)3N2+^$K>?c=3=xZKLg?W{1BrkFaO4= z1j|`qQgo#B3W<<#a~CLdg)8b)FMuj+-&Y1^(k{HlTp|UihUIE3oEfOqMHDh+`Rlm` zW}vF>#blDPdSHmOn|CoAnZgpgwRWreNs^bk0|qPHR=;sg-BsOXg$DTB3_R2xAUVW50deDSS;FfuDV*OwR8S1DzQjey8uG+Yd0fFhXBz+X{OA-CCY)Ms7*?dl4ajArIL+-_T?3tpic2Iviz|J}1geIT;UR0x2c zG7In**Zw}qstn>nOT)yDG$RkU zkW*89hjPUY%k>kK469W4@UneLS{T`{P0VqNPb#8qQh0{jRG_V9=2-*^>Bo49vFOa! z4&+AJpQGaoT+z4n$Gg-pR=PuuscFASGN! z0!3*$0uK}cZp>$G7t|9we~8qfsLKuHoVXFw03L%nZ*Y1hDCaCEat~sm4fsE3WZ65XcM$u5 z^R$IDiM?Bd6r7p==~ZstKN@1;ZWr&==SuL0HW zFaeAJrl6o+P2ovMQu_T3)7ObkkO*X#^83u-5qSuy8ek}^m30+gNuxB*PHIR67_6+{ zRauL!(=>u@hc#_8$kJbeAokogL$Ykq0hD(t+n3x>?7G4kt6 z5zWK{5;0)O8E>rAaTTA`A0F9R&##fFo>%7Pek=&tYX z#}`ZsC~UV1bpm81{UB%f)EUUlyt|OIQkkR7Xbm`BDKUu3h$WY`oe!G@D%p0Pu5{uQ z@Nc9h0bu(qSI5T2{1YoKy3h~ZzCvSf3;0Yz(U@`1|JC_A)ysOvW@_L+u#Po z+oPXJH)yF3L^<|mgAarWTh%p_xt}7`icG#F-EeaIE|N0=jukmRNzf96v@)=d4}+BcT#fuZJuLwIL${@}w%=o(-QRq1>%720m#j(E%6bm% z@?S9xyj9k|zP|TqX|135_Mhx^HtjLsfT_vcuUF-5_7Wh$Of4`2SDAs*lH1?tD+5yp z#$LL4kxkS7))(NQy@Pn+Ux)%2(<$*z2im?7Um|)HSbR(n#uC;NY9;^|ZEFobclE}N zkjrmNeMsg!?q6B`1}oA+WPz&$355s@$Vk7RPVnmqQy2h5wVQ($tB_;@ftmIcc<&e9 z@)w#{odgcxX~;R5NG9$HN#eF`fQ8uL0y!MtG`Or@0{dw7eNs{jnErV{VR*)z>8G=i0sWt@T)p~ipultrkb{5ul0+cV={QZy=|QFu*V8ByhX=&N zur{!wpBFVDy~I^uTGA@4x}#}{-W=Heq`G@aX)QYPD?lNGJmV{1dZEfokNmnk(_Z*u z7p)*OV+E2*AH#)JR^LF42B;rk3yjhELq15>K|1>Spvb%)YP8R7v8d+va|X#~&$M+O z9Iwa-X0J2R!mO_oRw_OU$>0iv7`KKcWYE}KtFDTZs z#sJjZ23?)TKwkb!o;m=5iYf^`7K$rdKS{C}xOHZ7=4thSP?WkL%VH}#;Osz6! zgm@9;3n0$^t8w$M5wX(qG3WQqJ1g!$+Hoo4AT58tOtfm&H?u#ZEF5}tZ*FQGY242fXx zPk%akA!trM^5{)pM1wk5;V6zf5-ULrH<=lT*BhrFp1bLgr=W4dtn8geQbH%g;RtJV zR)|TS@yU~t5-pcMw_mXvhoa9!2u0(^`}BopwKmN1#6(kK<6UTH%rpbr{gH}KgO9r@ zJ~gG4BLos?Rvy8ut?FG_)l4p5((D7G!!WO3Sf@%ZzWbP%(adCr36^)}%<4b8pwsLl zl})p!@bvB<=b@u+$DWeKZ}A2E)BE?0^Y$Xv30RoQu?bgL4vpWdokqq9JgnIK`N0b6 z*hR7A=*)S*iH^d6D?7It@T3M0Zs(o;xn&0g9w-1_4dWZ@t~JR)gvHGsVBv&vmX+(| zRIFgQ_2Lj_LaIi&B>2Ng$lC7~JhFm<1-a0V9>_mkhbfgFb%9zncC*(RCpKZrv~KU# z{m(Xs(WI0fZ9A|Q4=ky5pdS@_DXyGFI3ct8l3n*^$q?v-s@32%Vg%-V8uFw$G(q<1 zOD6VFEQ(BaD>$=(dkD1pjK|q{EkWgoz~f6S_AxgH)*h%Xx)eR+J##eMEYybQhC$l{ z(|E!2K01C9Aj%9yEI_9_$#L-n$-W6rLy6-!vn zyPo4scUi6}gzc+bHSDc~m(arU2OO`L>T$&sdlP(*bvl%k6#$q z8!gK)PNaohaSI%2Rb+zleCw3V5kH2fAFfvKXuzz`+M@n$!`UUe2_#IZwtXK3Qwhxy z;k|jH!$AOHUSvXrhrNz-KrRG=>GQOKZ9wBYW&;$(B#P_?NDFy~)wf|!rAeZ_#$Ssh zIX-?XcD1I2zjF|8y^+=^sWPRt#-`Su)~fRG{jREH0Brfl-=hTO!sX|iweJi!g@we4 zf=4>P-0PLrWP_by$%OM8tA;h6*3467R|`|uY%rXXHtsXl)=Rw-KMUBMDO>ZFMc6~V z-vRrvK80>oR0vJ%x+l-V2H&NpHqZnfZQi$i5(YimpdtwCKJM1czlA;9EDV!w9lfNs zC4MI+J3s;V@t7dYG;JYo%{=K9=l1H?JlRxhGEy+lwXNWjJn@5hSU^Zc3;kY#n zL>1LF??>tfT$dIkICU;dp-VwYH5$anbXH}`NZFU&5xX0mn&I7uI2HQneXd8VVoIgI%T~^t<;Q=FB zwrtUxx!y_0h8eD&i3v8Zd{TG0Bt)OlxI`IgEv8%a;}>S0jV9fz5N@eebIHX&OjC2s z#ISI!ki8DF6Xbr{Usq;&Oz65O#&O>#iqep|coa{(1lDj$BXizn-sWPK*55N8O9wp1 zCv>y}-}&n&#f*d8%;UtQ3nXb|YGoOoWy$j)7S`w1OHeCZjF7QIvL)!~6q5^xoxI2S zx(N%@c}krJ{FcH(LSx6uoJU|K(oao&A7C0dexS-PkHvPQui9zqYa&bw9^5u~8GwzD zivWH1aF4piSQI#3f;#@`z)UN9TPGr2DuD_MJTDF+6c`Pn;@&A)bQ5t`tGtRN7ZA)GXuA|0HNWpx<`QeK? zGs;$?H?{kFs^TalwTBG~DMIjfg+xKLbtfub>lpX}h1%fsqksTzz_~XAl+lq;(eklM zSg>x}guzcuENd(iX;&m*7Oevp!N$H6m!H~&mvKE!e6*p8TcaL5D{EVIE}c7*;G+=} z{N;oZ67$GZn|a_~RS7nv1hyd|nH8I3aQg8ey8q1sbfAUJO>LvRNXMLouv1k>OfwxC z#_#0x-TL(FCb%sa;AY8C;3!}(stytxQC{KHTMzR6K6CB2+#PVd1#po30a1uJfE@-N zhk4N}$Eu`*=%=8ik@iIecHr?6V9>#-Jq!<&+IrJBVaW69ihC-zT7TZ_?YCfrU%nQi zB0WGTAf8o-@V#F$h)Br&8B^$E9%RCI`&s}VpLYPq8ib9TWZvv;>qh0dR6*5F)us%txln>u+&b1>bR@y_?=8dp0QetK%SgLV(0thWLwRn zU;vlgk3XGdEZa|n1=2PD==BPPpihh?2y)m#c7npYgz4spy-m$jomQx>u3?XjagM z-*Im%QTW)r)QSotvX8(QzY$5E&c~= zIYlO7@foll*BYZo3aYA+pl=KsyDGj4sn2Fj3gQ)8?E;67Rwit()#0pXdpSI1KzVZZM0*xYR$0u*frh?hSW2X{5VR*1O9NT_=p?c41?%1u?}~)|$r52D z?3VI~{Eq|pIWrL>z05y?uFAjU3;(I^H5!%ZjTmp+645?6TA#O;R_wjNdsj-*j=dUy z8emoir_;w>bGku02QV$LoZzAL^>uXLw#M&(ytdSiVt#}5m~np_+&zzesygk=Wx#^t zZ=P+=To0ma)`VsMpjyF(Xt#-i%UplskV&IS&kJTrH<6awFIDb&CQN#hEs|2=ABQE)~{NSF3&9Jm_tN4QlU4`Mcy$ zEWEUS4L;&<&$kXcP4a1YQe_V463A5bhVfQ#2IiMzRjCVJrqW#EM^{%iy>WDI!`o&{ z$F7v(th*YV-s8 zNAxM5PNc7|M5N=HH08w_u|wt9)FYCc2Awn4MoBV2S;Pq30x(lCavP*pjKC9VZp65; z6~ln;MLsV7sU+|2$k8pE%lzHyWc;F&)9824LB3lc-=nNPTziU`-RFEdH6g5nq+1CS zTw?#b$edf$+q}(}Xq+FA_m4J9`P%2S51;kFn5)0g6YFHs>TlFlBrY!c=oLqf2`8s! z$M-FBfsq6JdN-TS#npM8Rc4X{rN(I9JHHQSElPTLYdnKJmr(IqOI}Lirnl^jtXT z`YM#>Qui*yW!R^YNV9X_+F?Aj@R0K_em*fxigwcj;toqR*1*BL8*fEg)cYRKEX$?#T`_lPrcDXE|jO0rwDQ? zE1gXlcqOX~Pu7UwZAl9YBEtE^u%v4LA$>i%M2%eM546!pLn@&3pA7Rrx8{?1QMT$` zgO>uD`gz6xf`O4}=$^lbVbUH{j;%r)sM$WL=}>qjEZKG|*ZK?G3B-zBmcfzI-Sp6G zx``98$X2zJn_a16Qs56Smv-Y|g$5;fSVT(;g^r;~uaF0%<2CQmf=3_Xl`5`jmvl+o zkbcHXFPnVtXOhfv7Rgyb`Znw5{A1Q>+r3o#tQF^cqZ+;>A-;uR6SV>M&(+y^!n1(! zS#uk=_Pt%!4>v^>^J_moiPM$S+O4vb%n|7aTjE+1*3qE}YG@^%gyYTy-7W;1x2r1? zbOaTH(d)};FkkZ;i>a8~XJsR&eT;XC+oXQ;5`o&HAzZY6OhBVG+J2xyGl;UnoP26Z zm9FM~OG*1fexrc69${-N$^keh81Ut{y{Ib@Qybgm zk?p3MX-r~zVeJ~sdR}B_gyIr5Hr{TK>>$|aD|i*SaWCI7q~1iI;ao^NNqM2k3XSuW z;gQni^iU0)-WWqug2IS5h>otVt|PcC%uY!TYTq2Bh8)ch(D80D)|QLT zUkj=-=bcjrCnUg$JcU#yU=xL!6oioQHMT)P=b>YZ0B^1;Du#ih29nJB>P7Oj}kM_U-yw6l+|j`PmPx`}l|Ju#|`p5h`p20SgWfsecTWnTr}x zWOlwID?Urx@LPb##y~Q+`J?oJx9VfZs&;A3*inIew3O7Z1VNUtmuRXxcT@7_{cu$Pv*EEpmsG1wR;Rwu*sPWV)X62V(U_A5_G~$I3 zorm+_!I_!1hYyFzF!4fr-S*=4(a`hEUs@<9-i)|_TE65M7jWtJGFYftAubn>D`L+? z=Z*a51d`h&KJ2E3=zI)dyC$Z?74vMXQK`|BlKsJAo>OalRK~gJVF{*MLh6wye%^Lu zf64FVLjQtOW=Ib9Rr+c#wf#mcI^!~T)Iz-!9JPC~Zx!&k-mmkZwfPjBNmK%s*Atm! z5bxHNN>=YyEDIn05T#+^U#$3cP>-i}HFR%wdwP0?DKG&In`JCI$pXXBt+dZ9pSpO= zpM{}s;efW;n&ydw6VgZT;Xx?NwNrQFwT54ZBtCyc4}`E4xM{nr2}J>1!!{!wRE^YI>3-C)^9+YH%?_x9`l z+UyO7MFARlv&vgnJ1Zn4=(n7%sZQd{ytE@Fk&}Ys(&jB3n#r6OrTiU<6?lI{uejYQ zH7bHN>4wmj`SARpS;nB^Y}AF=1N$sBZ;M^InBD#({aU`v(HZ5b0`C_$6&5xX9ILn? zX#u=vTcCwNH_>n68C}m4=~6V+2PA@k<~9AGk0(C8?RC#IAmIpAJUQ(fts)zW_aLC8 zSE6rrfCVx#&`0mgkp8+QCKvWp$`-H2NDmBu&1e)hs+}=ImgJ!Eh^g}MRC{Drs!q0J zg4V<|eRovpMq22+t-;Pr*4_05lRsG&>X=UV#{IV&rVIuW9#vxlLvnHV2dJI1{Iic~ zM6fKzpvLAIYhfPKTq9ey-HMh8%M4i`Welg-bRo(_5N|>2`67zDTw&SjVeThk4M+2b zxxPtOc5k7ad`T4c(EzDva>N|L5%bZszfxTd_W{3vV-|e_0j`0GsP7@bv5I zNVdGr(@ogG)`}MBUgZ=34{$y;P>z(A?)o@aS{fovKnen8yVkK9oa2wh<#nLq6V4}?X zV>G3V_y4Y-!2LPuZRTd571Y-*yXmCtG=cuL3S&{wf!Qj`EoKifkDK334S1F-?k+n0 z#t1pHQ<#|}>{ryhp6QUl^E0-VFsotbGB=#Q-mALUU*a+Z$7G=UsNXlcxS93zwRQ)D z^t{aWrBTGSwWd;$BQVjap~j4 zjJ^=_=J}y|nQRUp^RM$RoSw^OrxAUMTUT17otk=9)!KfJ4l3f5oGoI`#OLjqJYC$v zQtwz>=*2jiEp#{{Oe0FjZ{#9=EpA?sm#2rlPf59*WvH1m*V$qS9bo1pFSplrIr;MP zfe5s_T6k>5X<;)Qwsrgp`!FsvWcP7u^DH#nk@bgRA!K$V*j9^LxDj(uf(OP05Be9qzq+Sr<$=a(;xzjte~fm_E8v^FvxpnX%p)c1HvbV+ zBQ5e94Lr%{^53^@%}UvapB?pZZkJ>O%7?HY}lPb(9e;scC@z>9uc;j^LE| z6Dy$k4NHI<=8U^?0rrPgb*kcy5%~P$$0>zWT~WQ6w78&-RbPsev-Z{hH@b5gU!GC|L#9eM0GDF#%KD}*8|Y>aTr9Ibr_YPkqV8eK^W7un;6Xg z$T?F*AwoA?v0D16uX1H+)vR#$Zll0w@wLjK#dO0w(2)a61bjj-)^Z?XK`%u>v$sEQ z(NVBu0amV&laJW^FRq8Gy5d> z>{xsdLzknOlVJSD%&RNsAU97!#6xxNHGH!+&dSnLBZ*Ze|T9QwJ!zTQ@s-fw$ z-_VhO+Zf+AEEqVMePqT#LPsz?Uv&`})MPyRhS^$gtf!Bn*mPmfKsVuPMRkQACbYNE ztVPDlS≀W+_9{JjoH^63MQ$6)-zZuiKECK$IClbn*-v!U))m#o2)U(*5u$Ii1Y6 zUO>#{8jAwc|8+)td`_<(^)3vhdu{N1Tpk#Adzuc%{tbODP>fYx9h~my%BCGOx&;2< zBjat?{Y10$!u_Vzo<+8&cUuy(p@9Pzi#?ND?2fufL)4kdzLF~E-i})^+76@C!j0Qj zx##Vlysd%XZ$BwZ?O`}QFQeX}O~xu+<>r>1_e>M0-cK|yOCL=!^N{N&MoDjIUG(E0 zUzW<##it!u^5KD2M@J|7{BV(f4Z;ST|n)y)4RvCX5gn^6f&xi}O#rRX3oE$l8n5k2QaoJESG8K63#~<5`)O z(SDlFMe}*VX?iu*`!X7H9jfDL_xgI&^x(bv6rz?8S_zqi)A?qfB~GHk53wp7qy}Lr zmyAJv1{eBtuWXXUJsSwX{|>uEHZ^9KIJY~?Du{&JPK8Mv(_HT`P7 ztpj=&hsRHH`ZW6rOnSmzChljQewvWIn=+kr&)Vzksqw!h+DA3QZ?4R812%Sif}wL5 z63&2$A79xHJ@3Cl{dz<@M!KrSxYY0`yGuRqhXZlU;&g7m%s`cPl|cNl;OXm{8Q)Pp z9NyziQQId4FKE0T!40b{Qb=-sZOk3;hW8Jm7j0wXt4lx(AXBF0`03S$3`eW_cD$*( z0i!qsD+0gObvNh1=C=RP-Jx#MW&nE4fb)6z8-0sdx#(9Bw1E>zksk6ntFgjwCt z%sT(3A5A9P1C@%rMa3SD`05Pz>% zZqa;LRp=o?bmo|nd@-f3#adXeN_xOH1`szp4tb}nyp3Dh13i3n(-g)tmTu5hkrz=i zf-qr~zu|Ji>{P>d%9}E&qw%3S$G)R(9;nH|zw1p$-bYl^8!PKrhe?Q8U{62!bvg&# zt*c%mR%0QOKvB^4JL%t{Dm7BTXL5ejIR711JR(yN(|%hs|NBF{bPkW{5T>e1NqJ;m z@WQ75u#nyqCb?!69Z=@QaZrjL~k zv9QhA?F=%T?<%}|`RCafw_UW}+K7r@-oyP;awkq<;A~P0In`lsvj?Gv)hjYluQJyt zGSTkK=9kt85Yhy7<@nLm1i#()CQ1t`h!07o7AB=r*=_Oy3D_Y*+0s@TOZ=9g|3b$d zl#4iFU&!0xaWI;BPUT^`h|4g_OgK#ajbZAwYEo$H|6Y)6mv!Bvw?F&5Iv!DYJ7!kt zRu++xor|9e$xL#Q)qeiUFhwT(EL+CbLpYyZu-Rw0p8HVA=7ux1u)8m|CH-6OlIYrQ zQos~ToBM9v{mq1F1n9X|jNCt#pZZ;@O1i=>?Yt@q4k#63KBujpy)*4Tqvl4TQw|kD z)=oar#a>B3c^uTcpwrCDQJT(Tvg(xF)Lya`S3|h+UA>b~$M;|RUuXyDbJ`WrBsqqT z%&03>s(4CyX0B_)>*lpmZ?exh0 zSWGTbW1CTgBA(r^1ou49aCX z{z$vUq+(@L;=`(rMt$o|s!ViZO)7BAViqtn-aKuzngjeDTG1iZ%xMCr<@13rXZu=O zC*~-)!WM{i(2XwY8*#1q1-$$Zpc4Xo$ezW`UYF@49dPQq-@9sxS1ZF_r+_)Ug0sr} zL};tn;;#RcNc+QuW0^0--4_J4H|1VmiMPFXZdcjD@YbO&A}?RnA^(4`AV;0FP0aQ; z+MKBnA2Bq}7(HrrS%=$ERcs(1zu9x+qI#Qn65FXPaM^o&=S*ch9jTX=~(sBr?wvUF9aLIa-D{8pJ1+O&*X_s$Cg*cRU4faXMUV> zqF(<`+P7=j=LqQB`0`q_LFXPz2kN4~yzYlj_{5}GnLMrqTh6q=wd`bzXIyQo&8LGT z35_%=;ZTQ0Dn>E4P*zNA9$0 zICf~&9hFZTy97rZM+c&ah^uK7x_=`TR2Smg+Zk>>M%#ZgV0|?n6epuBe@5?8gmIQQ#a=A=?b<7nILJjVsir&{TW}HdQy7d!Gkw`-*5i7H(*mfw3ub1 z+x2-_%tJq{Q-9x3@8xKBqh|%ZwQ`Xap9NcSs;YNK*!DR1B2;RdAee^i*gf5 z-WZZhb^p_ZkJXva64|yQinM9$!ms|46BptlMh;7=h)s6Dx5K< zCe3d}B(`qvu9|atc=!K3-eatImR}=mL z?IcdtPiDhcncj$@ienu6={5IL1T+y6!T>>?k|x|((b|s}t}IDO)(O_KcImBrZ8?BhRH#lrn6F;if1HEIBldT>+gCGr zp7(cg_!m+7=>L&V(AhKm-*06A!<(Mp3H$I0nUmpEC#_{(dcxmu2&GyeWhP>bg75Av z0h%zcv)Q!}n_%J-AXBQoFftDv&jP()a4_<9#tG2%9lz75%<5e37rP|IoUBChQUK>= zT&+k@_*mPU~hs!Fcv43CMv1(1Bd3#om0YsxPi(&+PA&!%C~bX<4U#Ng1~ zM01waBCej^YZk5Ab_ifp01yV;{hWCq-m_ZM15Xzfe@2>zPG>h5&z>i?l4pw$x%4pUf-pF2?k4sIBl zu=QR-Ht-+Gzg%risPrT6IjgP_q+g<+l-yAeqV>&??MyXgqrXK)MwTzL-sArO|}YZ1T?VgcB?Oak|3h64({lm~#( zZeElisnqXULv?i0A{k0>YjkNz=r!oarShibuZmPA z7w$W=NpGO8EqV7bXwLg=RIz^$9V#*w%~~^N%LcxWPSW>{!03V)(XQP~PxqbsQSbkE zaCK)p)%0Z^A%c&;eRG;sOCu(ifJ=zVH2-n>pvQk6?Sj@D(bbdX3+Xw~$X;-WKhcA( z9x`+^ADu@0i`Ze|cfn7UxsG5;do{3e=DoleMO8IgHIJ~tgoK5Ek$j>B=s~x@-oXL< z2i#H}Kgw`3f*uX<&vN)p+2TCzvzB@A$m4X2Mx6|9moHx3ST@kBU7)ypA8pWUoOVz6 zNQwC=CWzwv?Toq$f*z2-)dN%ND8 z$;Lmwu*2*1G&B%{vv7sJ@9q4*W%XjrSnWHsu%lP2=M5V$zB&R$m)Gv=(ba@q{pNn^ zpSwRT&N^9G_kEX%P6HU{@~Lk=v*4RH+XI2ZVuWaisWPvXT{@3NWID$P0c%6F_@V3= zQn`WuB8Fs9>-v0NHEy|zJnvQVE<9~Zs%>b>o||t%~w=j>M&&WiwT7MmZT(b1rI#t3Sea5yFo4hwwQEtVAE7k zM>Nb-^T>mRfbV6`f;tM?lmtf9$!4tN@TQbxjyj)bqEZ*RwMtJ0?7=dt;4>+L<6;bo zBet5P;X9w6fq;iMfa3+(`crbt4T)773Andz@$UcOkl?#&-aQTo`t?;rzcI}rT4dIz zNhyz8%htZ5RD7eX2v)(?r6Q$qty??FJ}XdJtz)7m4vCFauD<_aNYhB-h~T#;Mkxxs z=Ah-ejqvce7Vl>sqjkh&NR{L2$h_BXZw$Pps{MUH-tWf6IUVbvd5dvVgqVPh3uY|{ zvr%2Wl@~v^%kx+icm6tdE`dVFHjYFw{r}L8>-mu@QIZTgs$H=U{C`V3y=`jb%P&b9 zsxkQWTk~by3FW-WJX850#FwZg#*WGi^r~IC@~fH>;iDw#T9kk-;5SbHXkq)ncQ|aA z_2xnpH`%OUpcnBQoORGC`|h4u{O9Y}+hCom^k!#gLAZmjoB02@djEK)_y7ODpC|gI zh&n2w$?rr`2t`gdW^79~A-~NmCB!tUgF^W+hRDxsGe0v%eoVjftDUl{o1WMA;oms z`rj84kGuBUI&G=TD04kv`?3=L`viW3>P8h0NLbRBp?wpB=XWjz+b=HA`T}X=C`J$# z{A-hwDhtfJ$N#fw`g-F6tOZBfUzdwsr@q$VWU98e=*-N&A1bO}n6M@?gDxB^P`q*J9Y2GKfQ{;yJpBbrP}2 zG^Ax9+?OyKk4_!K{?Xyb^gm}af4f^0zRazXgub`z-y0d3v?#MysgSw;|9soUj6An( zTWNquJgXvJF8X9>8xV`kc+vaUK848bsxO-X2{+@0J{9{q$QdUh~I>>8jO_nmL5=?PE) z!}d3CE`mV;=s{K>4QVv{4#nJ0cNbMJ?BvYrUR$Yp@H0%nD$W^ag1t%<2DT7XpLW+` zmfL2R1q`RAF!BPTexXB6s!^d_Y14Qb`}o}N$NmkTVwxVw82@HXe;+9nbOq)_5O&Km z-HK{$Hiznaa!l)TUsw20)C(=cgSo<%w)F4KxbG255yJMGwxgtJ<_;v7Ij(AYBqaLv z^WK;q)DxC}Mhw+Hw_^#&(9$SZh10ZTVQhirLRMzW8}gex=UzTfu3q)MHBo@}(^wl2 zEi)xfvS-FgsUbr*e>imUnA@$)e|Hq>(HTnzCuR(-X}5f?wJcd>Zr7EZPg^T41T8EK zbi$b1g~x@o%1}nV+!g0DSYP<7?QqF<=(AUzuc|6Fvmw%2l+B9we))9bH8|rydjSk5 zoM9YL7uaryB{$%Q0AwUMMFHK^dxX`F`qi}IGiUpXhxa1Ll)?2oK%W}rz`@U>`Zw|b zfP%ij`Fpori`!w)W#b#>?HXM(7>#PpWr{bw*dCNNU2lD_p2AL;j~CNx8H4db=`@@*2IS383&!FrAp ztUOK1lwTA(+vJ@K8g^7ePh`AiChJfWistG4`3NAAN^8-g1oKt>cLhM5t^7m?gFQMFyt64*pSx z$P4KmS=)>slXlA0Q2%G;eYwA4vatzm4!U8M!mW`fb2vQ0HtmavZO@C4)&7d-lM@x5 zVp^-A=ftzB;(MGRHoI0?mTuC{NXsLiplnP%qlAwy@7yz%oj)%KfKEVzac4IK0#)KA z<;R_L&;X2oZ5|)T7?`G?lB6KF*5zX#Ow_SoGBS_6Rh=^}lzUq^%UhlsSX~chYsH@M z%eoHZYw*e&v~(x{nvY5G@%F}<+;y(8e7khr+0pO(x_Uxi%*f*n2*8%*iyAQB)R_pU zRK3j3^_~voTPCL`rM-eSOO80}pHJ^bUl!I$@qi2sW*8a?E47F|aN6^D=Mjjj3*F~F9G`SM%5BB!vYQQTOF-oQ+UpWz4aNYi#~E2RcPv;{w5vZ}-|%I3v`qOE zG;dzRnWMjTeNrgh>mr9Sr|aG%W$kOMxEY+|zl(dcVdkBo44)lW=O#E0ry)Iz8- z#8`8g&;4wgyB%yV0LBGF_*U!6hCB8<=`)XHg|_w`b>O*gKZ|+R0t{*V$(3RrfOa7C zha@?>_uemn5(8e?yk4iCQID?vLqQ`d?Z}`6_Tgg%T%N%%$R%`fX(p_Zx``nmAUW_ijRya6U#TByIGJ{=E#7Ad3;Upj}Fw$ z3jB>ty=$+govPpZrhHw?H+*OR|64z(b*XN{p4>Y|m{GWVovW4up*FX^>TGIp zpi+dYCM1w`MqU#TmIQ$Vz_45|ATt~7shPg6Q^w;)&68$2U~(&{M4m-^KWekR&(za& z$a%^`O^Q0c5I=fP`6#<6szAwx##&1WC**Nk4(wk7tUUN$Ko1N4yMp@wyl@qBlZWMl zirVvh9VN=v9fB)e=<($LxHOhtsU)_ir)~CILy|o=XyG(5F*Jr{u7183mzVXQY7ag+ zaxQu@dt`dsN?p^o&NkcdE$k98KZ1Lm&FBr=96Vq+th&5aa^Tm2~ zZ+8R}sP-kr+CDmK4kUT48PoPCNK3DK&Df99JsA3g07ri-?+e^61vO)_k&NP@flKw( zAgSnY%(Ljd|3v`3f#dbS#H;kk97wobgr$Aq%CK_S#j7mVBS+$&(wzGTef$-n(s-w=M?B8 zY4TSVjW&M2nd@2UZhNcS)-_JShQocDIIoFTeTMhTLjF=mApHObZ3WOVP^q!1NR~~n z_S?wT&1#vFn*P=%1y#J{*xHl~Xo*u9;|nNA$9IK83noaGLl>)V+ZATc*01|;sL~4R zq8lLzkN5B4oJ+hQyp(DITdfT~68C)RJ9;Bv%Zb^8TR?C8vQwzH`bL|F*q$=IXk3;U zcooQ7Si`>YE(PtSVYB|c+ZmQ79syih1mWJyz&i+}pd3=C`lf6ax7$P(N=r*5HhCBw5T3c3oUE4o#%?iVwu2{kp1@aQ*i-1DA4m9 z-@Iouk9Apo<*~o>S(v=(#~0G6k;39}z3uB1B_pC$o;6J767j_4AI49ocz^gQyLsn$ z-Om$C8z73DjpYKgCr^ZRF#FBZ*Sv+Hx1-Dt=y{lEVdB~4f>fsm#87iJj}qZtr;ND8 z=3PS`uPPz-q0;N14>}q!!I1=!ey=6sg-hVIO^bgvHtus9Itmc1h50f6jmP2bCp zA1?^#;FHio+2nQe7nbJLD{~^6Bs&3RfT3ox8wGem55tMg#0m>zv=s! zb3yBqiq%tI`mguZTUgv6v#nV<`+|fAZBe@D;^~L4?f2HBzDbs_C*@Ob4aw4mcAc{3 zhP{9|ne7}`J7eWVAE}kU?52EDzigvt-muP$o4;aoZzvz>NTxkaVtkwF4mBZ|)Rq{s zNIju8gwk`!M>CNHDEj;WD0l7*op8Ml^``Pn2`uai&svp68C+D1T)44+6Cx|1T6@T| zRU7hq=&in{K@Ai@7I$!7+=49UpI!TNUTe)NCGo+#Uw@)`kD}QJqes2Y|C{|N# z+*A)b5wE}0aGZs$tLLV&MG14)b}{581~p z6Waiu5x`2&NC1tS@c}!b$OyC=ixameUNX$1BkIPkcDDxA3)hE2C2a4`Eg!my3F9>n zELLBT?)6_N^tG90`~MnvnAvoEWxMTj{r2qOZrae#zibLHF4KJmqmr%B7>|vA zX-C@bHHjUSe&$eAIW~8R?dn$QD9)7hmBe$J7mgJ|^5I)QOSE}OX6lHH4s(FIs4jB| zk$m(Mx>^y$o>k5-a<)B{o3d-%PYli7+QUI_sE|5)@oeKc8t3?mhLwxH12c8pCFvKd zo_nZa3BaWhAD|MvDkt3;PS38K(P^#wa3$p`Z?vk*MQ>u*H8MB5hgA2Zb@iNh`ur9` z{0())W3^JLJ{UICdUo9?TQN&{HvKxV9T`H&=I;+N(Z!B7=>pB?GhfX4MfRNs5R2n{ z6+Bq;KFuDm9igq2Qu%;TVO2Ibb3eKIXVwZlw)%eWFwk*H+Vtbe;D$=m?KYpN zX1z8XbTQc1vDxdEB^uUs{)GYbkV}5GTOzOuWjOGfvO})+La!1E4H3TIJab3^d29 z@9U!vgFY+o_UigmsGl|^Z}>5-rz}geEmr~O_pLjnz`e6sCG{jxMdP%0($r|Yz3!iZ z$evGdgr31GbMdl6LT#I&#DgaGgTG&RXI%F41;l;U4gYJ#d4&TZgp)f1(uxO+7Kyhv zl-UQbTlPfRI=V)4b7*?UtVMOIa%^*3i!(8TtG!HQr|)?FbdFt(%>EY{dmdG>{@6+_ zmsr_48=qZX@*Szl43I#KM*u4Q_cv`Bw%PQw8L)kI%(<@tN{I#q1~kAsMN%v*;Uep6 zid0W9l#ky^m}Ji*X@#WWSqCDs#6~hNk%D%oT;8m9qUN2~M^5RT9lD&j44Ts&VwZ~J zVI1_=c@^;}Q9APbjix z8WVYPSXusz}g{K(oFtdGf+BpIJ>_16uAYeL&@lg z54iUOb2uDI9a)3CQ@G(lt}h{a9$A`QZs?o0k2%hEj4fOKI8VL9n;8z&@W__rWgdBB zO0)S=Ud(s}yQsTGvaGu040JW!l*Vv909A*lLB?%K6Y`UiJw8-p5nfz4!pJiZO8)cS z&EvD3mwh?%cRT#9+u`ePr= zlDLGwl6~#2YQ7))U4V9(jMGFMvf%0EPbl*)*q+GcbU*E%wHqi)XE-^)f#-vxR|+?F zoY@DPKov81i@PEeVT(l6#IXV8b(TXrvg6#(+=>)Opyox7*X~K7ITZ_tw8F`=H~)z} zPoWO$^VcN*Q2H{yd(HU=zq}EbatskI<9@pOYon{xb;B*&k2f(NtKsG69HK)@?d7tk z^Fx0WLfjl1u)B0$PwnyDuWjgCCApIag=y_dD_>mD3{mbIJQ|rCK6-I*wTo}}Boy#R@26%+DBu=>sx~~AAhY>h2ISP_L(#-(*D$TXkdmM7{Tqm4Zp4+PiyR| z)79pdd)E-cmob6NqmbX&Mm6LYGy4>i%U_nbmT1)8AomX@2+Gfte-B)mfVa!2VG|Rc zcZY8?&5hclpWXA$bI)&|WzvYNdilRor9CJ32Bf9^j!7+puw+bGg6*V#Yc@)p(<7j-RUP{V$urcgb(Yyev7 z;L}O#p0>Je29m)kq@>v!ZCm?sE6G3 zK!#dVaT*Pyxyi>#ro23Yx?X%XUr)TOI_`>?@QL@u%$2Rcs6}&_B>tqR9S? z<_oi@{5)KpAB2l6IcSZA8v#si(~79EM{zUT=Ek zA51aJx!u3+`(ozJ+k?EHQM|Q9-$uq)dyKY6I_;JY))+g>qxfvL{TjimIPayDDQx)$ zZPlEUzdEBs+LPTFEekLcHq3e3a)!Y>A_`g5o{yt_ zj}*ruOH=~4ampuYuP*mG`&VNP-Y2Sfb;3-e4d-q zJ8bv%Z)K1HbdBBGF$yjSuH5ND%}*E!(Cw^|1=h$|YZS3CJutP_|9wl`K)srbB~uUI zL1ffAl%Z*Y$&f<(Ut#V(9qjW>hK9?ghDL?Fz|;_*yo+;!x59U(PHvlt7k2He9T2x4 zS!m|RT@u2$pt>1QUO8d=Y8c0NE3KZj+AH#IP0V|MY1MdVFO(}kO-jFzx3yMy_n_t; zSa{rU+IdqBUR%!tCrtO#)lloXe_n>S*&)?~3@LXi1L*Ebxjx3YaQGmUd~h&h)^&N$S1f{mw|2s{s8aW zP-nw!+Mk_QQyG$nNOX8yoi68+2K2$THy&vvPRJJ|)|w?Nm$R($T= zxe`VGcX@${zxx0mpgWCjcyjFw#zIh_s{CyeK-=D~$bk4Z- zehY86irlLE1PGAyemqpG{d5EYWYg4OGkhJ-IQh1t0h8&TcVL_JM~}+T5|M}C{gRBf zA=@y_se+@E8q}p?80C}^fYTD+?(qEI5y9zTufa|X_Qg<3h8RBq>;vkD-_U+MvkA>gxZTDHa|Iv1(^#%04 zWG!=GGE2U1EgR)VLI%0(sg%A)39WGK z<}-{o2W}|H%;(J( zH>s=NhQEu0+3ga|9$9BJXZlM)Rak`$N|!4Ut62Z1YE^%o2kcCSjLaPrMXF-zk+6VA z{j@vYTcja5;51%v^UE#EjZ%h%cGOT3=UK%jBObBzYk}JSp=7l33%MNPK2bP6^$-E< zGoXn#ydnr-{US?k{E1n2gr}UW^QSAiE=kqL3VHPdFW8YejDNq-Y^1io+^2)%Rx6ZqA5KOV3uNP``Fbm0=!GxIgg=9qG@=^fZ68SFsny~U|r zw#gP4R=~5dr}2aJt#z%Pw%*wLBDk;@5De!7BbO9>(wA?`XPF+<#1wz_-}&c#HJDjp z*-!t%`ksX%3Jpv!Ifi9V9=dt`Q*5TVrdC7XR>)u4GBk;eRe8RbUOlYr2dt#4%4fJ_ zKE~cn^JaIXlmA55h{s4tZdBDqO8sAH_7Q^E97|~n-OlDKnfg8BT}Av>r7oC9|7{?w zCPe@#L%A>p2TlRVr>Q;Oy5_}8eoHCGbDRC6&lcYKP|t7iH|e##I=O6})DfD_SOBOD zILzefjchQ}v!`><*P!VMnuwJHes!TtQvgPM%j0e7*}w{R7`~SmS4mGBg^TM%GD{Io zuwEDn;TbDSt^4s%9mV$QI}?ymTr(8db*{5KC8QH}YGTMgUbo8HchZlofzG&5J9_TS zV|l24vQ+?<$$2|aSJ=|mHLIb8PgJt1EL5PAwN`$mp%WnPcwn5rxWFuV^B<@{^RACd zN%O*)a(`UO?lUvAArL=p*xx%I(!KH&q;cvfSKUm|b#H}-AZM&lAK4po=W5L3z`Cky z;@@>Q5T!XO&D(RISPN#oOUzsB^#vg-Hju~m0}%o*L07Gva-3u5;qcZA<#$}m-)y7a z56!_y2e6-f47#%K;f2Ewfj~?~D@1Tu0V50c>UO5N_QZw@Kd9u%OK?pR1r;dI2F+>|;qIbsa|h zcH&j}<=&D-N-SF;;!}-{KtKJ^{Ockci`jSDdRGFHU53qstvaX6#ip2Dc6=R53_}V< zvJ)>Vi1z;P2Llx%hyW@@6)9>rg>c}V$W#L-fen)fJ7Jqq%S7E~w_tAKlnY;F44Va2 zQ_GD)Iq272^ZhUv-PgsJN`73()Ngxk8e|q%i2Gmy)ndE=y554|kX#gv!2{u%#L_|VZr@p;ZxhE|2eZl zUK^MV%9)sKqx%$PTsL9UtWz?Au~`bxa|&=s+!=;C%1Y=beLm;JTj9W@yVD^1>if~4 z)@Qct3H>clRD>?sZa~iCQvCw$OC+Dswxnd@VLTPJ*l@>NiKTO6Au6@SuYY~vP`ES- z8e&_DMzk(e=1YlnEEig)*Z-$=b}|9c8as7Vk5xc+g=|ADM*-e0o(qIp2sC)NtZez^ z4Zl#cDEZc$Tuy#@3`j~+M-kTbMCBca4;FPQjDCca^L3C8vfDth;r1YGE6!|4? zm-VW+umwcq6I(8D|t^Xa4V9B>xH=|LvaEc?#-oTJSm` zlmo_+1g$SGE>eGJ$*@D%3FIf)MspG4ukJL*7EE1zzbilkmu+psfw|Y5$x~ODMP|+` z3a<793o{(LEm2$ig;A*?zD}M!redA=Y&A{M59_o%YtGvU*`9edgn#77w&E~`-IJ=7 zty6;0M{WY zRIcLG%!d2$=Mn49K9tKMN6pC=FZLDr_-jD37fc|~itjV;qW4q>bRm*4y|>J<)3GlL zb?+Y-9i{GMIrs3-XZm-u&ROw|Ak)pHsc&&FBW*g8w7w^}b$XCX2MmcgI`I9s0|GDJ z5KJK%=CmmPKXWs$zipC{EL;D3KUfOo9gw49?%FN&a7B^q*jK;bh+0dhr(J7u1tfqv zI}p~h*%7Ks)HLlogzu;>*!ZB9o-e6p-_D@VTrCM>oL4^gX!K92$}FcOucT&~_5AH6 zW!P1LpRT&-Tf~;%V~6wAD?}lYRV0$gCsKDO!PHIlDEi=W$j3xkfsuB9_OV>E5SdOq zH2F8j7*OzdGxC!3M)9!>c{*lXP`;%1f8G@I%J8TV=Ti#m>eHoa&VaK=HH9v5>fo^L zX*@0=)|)0@;FKh|tv(xAfikAuP22&q6X;7ON`0kuat`rCM3R+~ ziZm#H%mATiJ;TOT*n9XlA2})}@ya-Uf+Z(A%*>ZBBYuy2)p2R*{N$<3F7x@VFKhMDQ(>Bho4=PtdRDb>$6ZN}K zwL1I2y*!RcO=X0nC%>C~bYQ7a@u3?QUF)=APYyNTjbyvb6A&tVEKan@J<=(ye z%V?Vr%vb*|_ySbW!x!w`YZ`?aEl8uf!MIVr8@+muReSbKdkMi%dot}d|4F%*cmJS4 zoC#)yh~g8kv%}c834={Ww{+GV>Z<$xcjDXMCvMm#@Rb@YyY1-XjE8U-FARL#&m=;vV?w3e;#;k%T{^pq8yIu0`tQg-Z zztZEx)`c{I05in($oA8^uTNg7XgxdMvvA}1#*>gdcFPB}cSgY$DuIpn6z^SbfEN>6 z+sRaw1X?kB5+cn7qPLk@E)1n@TXCwF-4-2FFgj=U!N5!DJy`DTKK8(@y@dW8e{+Je zv71v18q~z#V>xfl*V1>3XCRCVM|Izp8*WomkT^$rU2L^QwleR{^-a1Au*sByt?~BS z=Ov*se*(#Z7FAxZ_*fLL$5VFGmiB zInJ1Lh%}hggC-+ChKGtY`?Dx|o>PM17Fvy;Q%S!_$+wE0jKjX$ZYMb|& z9kkI$s(%yIgSh1+CN+z4fk%j3n(Sf)&c4jE(bIiU5#BRyrL8DYbp?b8g@!d3;Me}e zvSZzlGpJNc^ZE^9iJS~pvam(>R}OT@ch!p@sL}s{8q}+Dk%@a1Bnyap%{w#vlIo}K zrhInHIJkch03CpNB$|nwKP*}0-P}JkMY-~*2phvF&bH!;*yu9zf0JH;4JMF-J}7JN zowaN?FHQYwsd+j`>(L=RwwBPEGf+8FQmbCYvg;Y0f|vD<{sDDry2ZXWJrIS>>X^f^ zAEiMoe473q9)b9%b7f8{NnYUgmO{RZ^PZ00thaK-1CPh&=<0toQ+laC0r*TQ9r!vG zIbi0+eHV7Y>~!w&d6k4fFQLS|v+4Fo6i*tZ+wxGOmInU>8S0Oh;}rhxleww;wh8KvoEVB)qi>qgD&M|@@i&udGziRW12I> zeGt*8?x!@h=V0J#FArM!kYgdHEo3`N)TCiau@x8~f?%M| z`a)omJ@8G)tGHbccQPILi&%A=!XN_rPtkfO$S@tOkzbsDyqGLqIH<0-F|bo@3=*vI zYi_27Cm%IqMGzAlkL86`EYL@9fdL&D;fd|A6Sct#6k;Hnm#cfjvhDWD0QKRE)RJ z@!MD&0|@_#u{0|i`w8a=~!=7Cz!Tum)~@}jSrHbKAzJsT4{ zH(KXQ?^j1(x|roB%*fj=YCn^^$i>+%3uxQfUu!Man-=>4qW^DKscn`3T_P&WhzffU z3QA%Hl?TV{!9uYSa^;spTkgo-neSv53k1tv6a~ho;sR3mlkaK!q*sf4#o) z@!CGU+zCmS?a|2S?(Ug^fxn|AR_od(IWRNdnV#3J!wgR;7$L*;0%{HCWJ`e;mIN+4 zsg^X1MFlXt)A9xyVm2`No0h+DicLasX(@{z%`|n29ADnQ`w*V;`pR7(3V{-^1?}bk zDpDIkRVud!yh1;^d1CT#{&_75I?9(CMa?IgJf8lYl1&UuNKx+=Iq$~l1(||;*ROR< zfM)w1vJ-vvzFXQ;8hNSEyl?5K-=_dP)2&+w~t+C3c06{Wps=l zTQG3e+qnd;w~XUf7!{UQ7wHFO*Z(+)*dEJyR0nU`L#}Wwt(RA!y<*76%-sLc0OD;b zZd_^=(r$!WR6rEk>GYeE~>+H0Q*^imlHLk7bpMkcpaKiWyQQDb(&pMd_-`;7A`&QZ2lU7!^VHL($ z?IGG=z?!55J&_C95OxQ$^9=bx4X99qc$>9y4Qt2iQ}$81*mY(NqhaOV!UND~DgYm8W^{n5AiQf^2uY14O$1O5@ERNTJSY1Z5XUob0~ z{#L$Z|C%c+;OA9E{j2Nsx$c>?bSN|_USw5PXgWLM-fLR3KRDRjm{?}IMLvfPEXbA+ zpA;3@Y;i}l2?&ydhHCrw?D99dkLTX0J9%qiO_-F&eUqvYcmF5d9n*DHCe#U$-%?T4 z?+~bu4x}ewvPiIOSw*nq%H3Er>!+7T>ek-Kq7*Nh1-)mMr^v$<_P-)Ta z%e2d8^gmm|l>Ob4X3AskF;ISME%&Wi^`-)ZR6v85&t2D4*MTnbL#M0=aYRw;A$7u1 z7`9%NcIjaHaE++Ft`N6$3mzY!5L_Y@r8C{k}%>i z`F=uwr^n&;KG2y0(7pas({%E5nt5elrkcITIBr@Wv2T*cGPlS*+%u%{n>Fbx{zh>N@zut-?e5{4u8%WY#||xc4U9GAe(4B1Cy{^p~J6*xthDRC%Zq(J_0 zm|dXz)UIpBNwvGJx71hI-;aYGYHKlK;J?NcUUS``dqU#plpR-@tfb9O$xzZ8kJKpK z*Qjo_6wdwbvyTm7?$0Uzy1D&76L?A+c)4gci8~U8_5j)C?@&6xjeuK(pyZZ~KIH|e z3(Xr!)c08(Q;R)&aAx6^QtNOd}?xQzX{ClHI*?tr21v}s7u|` zjO*P57wJ8UP0e`!rNcvBK6OgAVnN#|c28t$>T=+>_>@0D3|eGR#F%-)AHDGxpwW?| ziUG;c|Kp-;-jS}L_SRPpELLr;kEyA(aZHA>A|hd8fgLjXNZPTAgqV&a7dtt{c^3xK z&+GHa4)jYRLz3A@zv!gt+1onPFT8YWH_H&-+#zz%^C4fCq z&bF+IrB}3;iPcE^LlQn@fQ;yn30_kDgWK2st#>S)3=Z-Qdo-<^W*XsV)_KI!qm>R- z`&t+CGordK?Iu&LlYU+7%e&3rt!*WW@a`F_9fu)`V&@kW?lVQiL}ScXUuD%zYG6fA z%;T=roYOx&W=4gA#e^NVi(Ze_p}1%ZRKc6V9(PLykoLDG!k3eaq=2Hk8p*87Mik40?Gru5LA9h&OFFFJ3d6Uu z?}BwAMWSQOnVt@ZhE|EHeVwbeBWt*4!QI9Xz#I6Mj+(pR8gpPHBYBmyS}TEUY9L*= zrqqQ#ckaaKmP^7vST|Wl|Er!$fyoOPJdR{m4*I|Huj1QIs&~wTh;|K8Sl&KeEhpUp z^DykyogN^(HZO(6u~(Opgkd*K%;k$R&EhhH-@wcR9PvJN^5Lg`vU)`A>pYmbypt@( zyY3Ht-o^G5!R>)}IloW<#VvBY-w)By;5}s0ds>1pJwuOenSBS=uB>bb+W6J zR9i-x({?Nql1-suZfU36y(NRA&^SofCe+h`zmw8fZ4gJ^%91$vY<_IsB2OV+unw=o zR@{V?6)Q?YDYbsUrVRe922fjqJZdrosMzw6!4)FXPFREhOLKe9gY~3@@c1t}qJoGG z1Ml42#Y#I0H38Z2N2s9JExP|2iA^Q+$K7>Z-EV-f2c{LPimC^&z%5?@qV=P^%Bm%G z7A}-{etHY;1q>DWWQDBwTOC}@l(?1mNko-0OD*w9<2mv~W3Pe?O+qvI>bd1L-tf1* zOOsw5U4=%owCkNlg-0^fIK4HkoC4Q@8r01^;_#J@@(|j| zBWA*+OoQH~|C4!S|>)_9~cUWt`9`# zS@Bh?^^v&GtB)`jhP89?D3vSWY+{F}0R>WwX_qdjg8Y7Rc)|AFTkW2LR!8OkR@gxB zM=jMv)q!i92(0Vm4PI2_xXX7Naw1l#J>;VH9;=zMHe-Je=i1!v(L%#~g$m+bCYcdN ztiMxU{*qd8wiJ~+&>+mO;eeUA0QUi#lK7!6_}w8ZpGcRgbKYf?VmC9Ct_;E5YAE0< zr?QYR_u^1gsLAoNisr7VuOYfzfSBx0?%os5=q>-sxx{nHP{jN9r# zH%{y0)KV&`n(@Ce1~sI?rPJBH1d!55dea?3h}@1X5gnTuTbELx%HJd!Pf|SFA`KCKf?P(m#xE81dom)ZD3RMo>hHlbooJRQ{3uEWz9@gzr)nS_p z39Px9`RXG0f-U6HgR%kI%C(ZJAUPM%1FK_lkW|dY(t%kh*PgCdh)*8xF`)PbH8%2t zWW*n-X8kfdpO|2@)TE1h87<}!txQHo${k+2_pjjgz`Vx~^78D{TI%L*v{VJ|cUrzL zMS#);M0VbA&uG=sgKGrl4+n=cFrmeUHa|?L%YVee&0g^AbwALTmLqzNFwXHfIfm+5 zf(WI1lCaGN@tcpNb8~;no}STBX?Mid+wYF!T~eP6R9kmL%}}Yyjbatdq_ksX3kLVT zdyk;{t9j-u2kN|LyfzH+#>X|Wyq4bPhp3Eu={0t>@3$=ux=`xJ8%mo@``rZ~=KEFD z`z6^M+RsFFi5}^s|13$i6UpVJ`Q?RoW)~4AuXp?)pJE+T3;k3JBv6n8Y1Ww_c1!3s zt^6JsOEKG2wVzGOE7=&v`@#FPas7*C53}ZTv=_Y}{ z&RrI`bAZPs_=zQnp=%*dW0o!>0{b6%uvZlR`J$Q#+saR`LBMlu1?UK4$-yy zB;*ps+ylD6rkEdEy62P$!5#VFmV8NLa+qSvemUXsdr_izY=6=nd(wsemKOIwRSY7c z%Qlm^>%N;qy=CSWeV(-tE1Z)YKC>#v8#ILurcLfbNZ3s68LXp1fR&%a8R;=1kv9xA`-af z3cS?g9h1!D%*9&rM|;FVF+)i?XzxGB{@87EhnxM`xINMuL zBE;Z)Mjo8}bYj}}bKe|269@y);)`U+_;c8bck=-l#?b8XEWxQ#t}UkHN~mSeBnoJJ z^Hca7*xcd)VY})XPK#ThO{WE8S&{s5{$z+&kKBuS74hwNwqm?o`l4U|Cd`rc%??%5 z6?{a0a>|$4cWRK9wR7>;?!j*oi;NM?apnu}Pz(KOWf7wjxlPTPJ-_^0Pr`h`%?D=j z>1u_RLZU1uE%elri!;MXJF;my2G!j0xppoHHv_|YlT-v#BX!PN{o6_0goJLRdR*_l zUsqq+Ew>Jb4G%Kt$hxQV7^w>vBPt!?7-}wLVB$N(kGA+A%&h2!frk>*jylcBO4_H=V zh#X7S(g)2yjbcmGO6}h7F4W)(SE8aD!KEty@8UmCPgOV_#&*b=t~KbC%L#MQh5+5| zD#y#St365PMoTtrWsWP&1+_zmmzl)9xHvO_@|CyD;=Z@SIri86xS$Rvd_q6TS6ipM z*ci!lT;P`7E9-)1>ONBCH|2}`2EI)YDh^P(eC$F$p_6_5!Kmb&Y;Ga`LQJ#ln*aU& zAd2Q@DizmT>#L_SF72??=>MrJfz!?NF@+mzJJRddhw1zUW=q%#1#q1Uco@*6`|p%n z^}*FR99$n5jw~D7W-08X7mg3RCA^RPK&UmOY%EyuF_rfiV3Vla2P&uWt=zPzyyjVj z`EuB$PrT=ekHb?x_7BESAgjMw_D2?55V z&0qg{QllA@0%*bi+Ji3y|aRu_-tG6rjK&vpJ(7bmU(&MCkHfSwxIwZUEr zzCOU`gIgjA`4`gDseGCm9?R-~XInrFMn@lF*8ZJZ@a|m^*y}=F=rkG#-~Yua4zT56 zPEoc7{KJ6|oNMC1JKJ*;vwR#vZ=;s%d)nEWNAWI*HGcQ#l+r@;&(d~@8BbO8%hI0Y zp?iRM(W|7*+f6#$=uZ6JY-Gjo|Nn0Z40Vg!Fa35tI|q61`-+ikRFUlGlO8CR^q2w= z=rr(($Yq1|0~H2fuE4T`np0O-U%Rz3KuHy(WLwA(@+lg;;Hp)F|2k)zEZEx>cgP_J z(O0$DQaWc+KNa~)@Dv1k0a$<9J5u;SzbrCNb6|Fib0*;0AK>E!aXlb> z=+JL26$&7f1{m;_i4RWREW>AY==(hBHoT&zIi8!?-_?OkO(dF*=cg;~fGleXCtjA> z%SMv9u&~^)o`oFtFY_lQhSzgDcwU-AxT>c5KhD`81(8ql60hY8C+|y4J;WZl+y8$G zK#liX&w0vn4JU{hGz zqysQQc()wu_h%PfqI(LzN>L9;y0F=GLc$zi8>_WZAAOp@M?BOKeK7p+6} z1Yrj4#L$V?;I>Wxwt$o{d&e&FvpNf>fQWSnh2j9C91@}JD+opbms!yH?a*J7H4+w! z-E9VlqlK+!>H5~Z_R&I6!ae>c~FR^W#nMx(R+G0-KeP z!de=?4WA;$535FNJVK%tPSZUrHuMlCvzzB-Hs{*6!uNK5#c=-(3v62Nm6I2gmZicp zmw`TR9>xt+TgE%5VytOTgkF9X7Y~P;gKrk}citf#z% zg1Zg5^M^Uk0UQ{|i8jZd46XmnsBoR=N6a^_wHc{_L`%M%b>!8vGZQ4I@2)l;pU zLNodGzB*j;VJw^C<{pSVGS`jj@zH8lU^eQCFPy9fd8;h%-VcmXH}d&#Cd3s zSw6R;tLtJfV^cN97=Iebf228tE+P>_nH#DyXa=vbwcde}a@jQsR z?sK2(oPGA$JD*vfLr~q>f@&aQ*>fS?K}j#q=tLNGnPg%2y#)E~LFakw?YT>2zmm-) z=liPPHn|)I90UvDrnaUvpZ%xE?gPDY7N1pXqzTXei)X+90Hdfld}uE_&p~Y%tQ`$p2vdSexeH+=S2_A*@ zEg~j(69}mt&)&cG_0}UP4YvzN=_n_u!P11L1IOM8F=VC~05sQ^Cx4IXNEPru1S zac9!6*+O~DYVuQ4j*tR}P^9i_;FF@4h*5-QBx9aUm9M?ZYW7j>qhEL1D?L`Y_x~Tb zD_Cc_HN=K+@E%fTo(jozu-11XUGDwW&d(K!E04 z&tx*B_$Ch zxmS1Y4;q7H)iRV|(e6Ky`Tv{!nRAaExf^J(5tN9H4tg6Poh-iCwq%add0=udhAEan zyR5wA;yCw9^4y7~^|Y= zHBz9R(U4F+K5`)&DPa4VM{`Imt@cpA<|xs6ACWYtLS7b`! zHb9doYtH>YAB?tcbzID0?{~|Mddje+)&qO7JFRW;`|fhSPes4`IH#^>U?#8p! zsu7Is;x}@q%#Q@U`4HR&J#$(nW#ZQaPcK_2jcBE;AVTg2cQPV*vd!$_ADFFQe%WlH z5^vdY)_FDD2Nk~tQ#4Qvm%7Y5)sEasvow^-FhT4CpCeE+@O}hlM~a{91Z)RYp;oA6 z)}Hce^XmOkTYV{FFQ%~;iW5(;Kmf=OX>XiU|e;m8#m4q=r5 z$aAtXn>6{{Pi&u?ED@zUG=(>4$>R0nG&7~lcQRVp;+sz^SE_sXEne56HePs{?y`K& zZ)iazdyH);eMSsBr}!g7ze@8>Q~3;J`^-g{I7d}Xp=+wEp^k@I%IdR8wa>mJYu+=y zA$e)SIE{cgW*A_DIVy`G@cR3=eR8_Y#+`RAWU2X!)?(DxF>8xv7kAkfCG(l|&tv{Q zm`R(*-L(gv7i1WoNrBVvQl5A%p|l3d9#O_YU@azyzFi)%8=>`^s3$=Q-ja}|TMOfZ zfG**D*j)r(M_pl=l`KJr&s6J1sG;Ljn=`n?^E!b=TlUq2a_Uq=g^vHKqR4a$B|KB? z9^BB8b6h%-j-r>Y$8}!XpiVgzAQpGI2XXs^h;osyTFEg^D=R*;hIe|)!_p86 z)>|}qm`=RFD!_4dy7M@bsSb76O5sjy;`ngso!2x0mj>M|G0Q<7Sa?K`p@DrFaD(T< zWPZ-p1QSkubh*b6th;pSDZ$&J;KB;$0AEy*_B2efiO9KA*Y!M(e%aFZMpoNi&Ie4= zHgzK&a2o#fvQkrp=m}u)NCWDR$v+9q88#naWz(gGtmSCne*PZGKBs5ng}?nJsT7`^ z!7HT_aB}Kl*TSYL?BO7{>CH6|HnjFd)Wc+HjMe>w!t2riDxYkb_pWpfPunA+LDk>x zae)k#7m~_Vjr!%sWA*l5VtDsdD4dES32DEy@wwb@i8Af^@9Y*susu7L;s1$p zfSdKe81i7cyst?nRI(#)2d{mpzD8C2a zbMjvH4@zw4@g{?{v+(b)E5(nioTqCc>iNR|1HLiwBp*i-^0pjW^5C+%9&5 z;3*W8*2k4Ql}S?~?wlCl7V~N1ZuIBb?ndagxc(v-#nxgW9`mEc3>v^U*e#p%+ z00@@AGKM`u9f`ug;utO15aRn*~3q5pXJqU|u`yH;1zvTUjo5OMBQ3m{b<6mAz*&e*FL-ffv=eO5SgXB7!9&nRwJzc29s?o;+`^ z3ixMlqOv_!#F?M(*sbVeyn24pnws@2X`WKoNM+nTjWHkWe@MmC?}*8EC8#dKJX8wx zZbvnmt}yf~+4ij+8swI9bFz?C0-dCPy9r?P2XNrvdttc+(n(R(l=}d^1Kk_=8?>H4 z{MnRI5!Ls1TBr=|V~&g$O`5xWJ=o#o+>?bpfG*pd2*xE+&-?bcI7eUF2FnSavWg25 z(#w76654IYt;5SRzgL5YgAfQ_F26-?6SbrFFVkZe&7RQTwu3rf>;#gMiL05Q1JKSaC)3*1v9nP}io{8sgtZe@8M#+V zJ5bvqu#}-_l>!prrW@7=_S^4ud*xGmAzCmLt-HR$0PRIEFRC}{{&4RhHXu~fM6f=! zn7vjRAU09<`WG#BU25X-Bzw3Hk`=6jsKIT&{cZzJT>`*=vT?V82AqKYhp+ql+21(2SnTO9FY3^JkZEsS;-$ke%l7{pMV8#( z3!VY8+e-{j6q~bR+Mr2|$`q; zWk2ov{xW>(FmJTD{Pur2dr7UZ#IRinYvH@Aj89tgipM|v5}Wu-^n$;+JV6LF&KN%o|C|eCY#+YF z+q7<+h-upEW&V%stw$j;)2YM?N+Iu8F|M5M9io}<5dbyXJSu<1;pPi9*_;Bp9&0RI zZDC|3UeAAK#K#V$ji(-ZbL2>NqP#k zi$J`l3Tbc_Xs4YXmu4sCouU;?E5Y6t&=s9=M;T-7#$0CIQRcvduWqZf5v)ZG&r|vB z{qSip=E;M%zVXd)s<8mt7N@?)0@y$`&Zt*hm}$jrc}s>>6?%I8_E-ejz3f6f&_l-> zHie87ta#*(MT&h1b5+t+mt4ve@s|sN1=}K*Ec&3vpRI`7U!q`ogE} zx9Dz@w8Qs4*if{6qj4HK^^J3?n=m z%2*TBN657LpYWw@vIs?zDXD*m`4+oKkTY~pshOq2xhavZzq6LH#lQS1dE#X1o|OG> z9%OZXJf>Sx!H?$~aKPJrLzgyimqpD=#;XKg_!4GjPFnhJp9e%ExF3MU1vY$vB_!RO zACCbD$3rZ!{;1fnmUs(=>;Z8L5X9RLpu+{)&Kku-e>eR%4id6ZrN%@!6J_Q%a@gBJ zJ^)ZTzl=;4gYJWFLU^()36I8(kBRrBkLh&_woq!6m=)Y#Fj(023wjuH`?T3-@lumy z;`puEo=;@0yUh5a2;KXKE<(HAEngTlQ+e6wdrm+_L z%G+T(B$v}oWb2RGFDC*y4bC1j1o8H9onty*4g+H2X)k#if1-8D5;p;)`F`xE{LS-` zT#qUKKq0Ah7BNR}jebrp8QDEsU|!%+^}H8g>VqEh>JiZMQu4@(_D1fjCvoHPh4P&R z^iTJyt4cmo=TTAoamu zc=I(#%|OK+01@PQz)+(Toae|DR8@8H$CKF3^OG&ti-R7E*#>v9rH@a58c;akbOXjd zP}Bl0U7}YFx7h=$_D<(W2;BavAlA0*TR~>WemTI!u$sm=W?+_bw#pZfqBh3&PX`4M zwl>Ol_Tqq}c2(cyZlcn@9I}OKhf(-nonFkGD!f4Nj5mi#4Mk}@^u(Cn;H%H~d}!Je zzwdqV1jKwCQm0W18@6`oVRwk;rO@A{>h4=F%lQVR_`CqIzYW0(ah-+|wI8?KlbpL= z^>4GEYkUM1E~>@7K38Zf(Eay#9ur9kYfM|&B@y={%S27W0@{P>-pU7L0V?rk*DIU= z?>d#p8d$sh%DQ989XeKyf&)1%_DlU-dZZMlk`f_*4xdM@6@>zg^lVFn)ASaUU7nVS zS*v-_aY?5i1^BL@zA4ecyexgaBEbutzozcV)PxH85tER|pOxWKOOc=)FuC0I~&8>mps` z3*hsaDvZ7Nz)t~{7bXUNy>CW7oV``jZ|b?0_-=193tLNOeE&(Yf28`1P5njHl))EG z-3@LBHiFM78=(rwyEC<@m>n)hvl>uLqAlpLB?XPb0veR~Qi__Pb zhprT?{IRNMe}QTb_D#@tFuXNW?%IR?_%IgF-&Otk-3^>|IZ4gD)RJi`xvjZYJdwHb zy3UQ=W54Gh^ra@K=(Ti?fgNQo$3otKTpZx&Xt~L2Bt-CV4OF#NI8JFdmf%#tQe~}h zK0Jn&0TH)Kg!Wpmrs9f{ga8nmfB@+mSP0XNorrB6gUu}Wb3QI9_Pxn4H3y{t?`C?g zYQtV0l;A%RG2oJh6@1@N%lJBmQt6ixe+^6uG__ZXXPz8#`{4#+p_fs6aC@*Y17k># zVL&>a3<|10jwT4pTc+wE>$h&}N1wf`1>XM=d--%;fp_RtNu%{)S!8h|;UHmsJ#$`g3ay6oI0<2K&H?^d-`YLVlwo ziM}jS!HUJ)@%;#STSbOy>eSA$Sfow#GBx%ft}uJCH;Bb>@af&|pHA8HZC9gAZ1r)c zb@!%LjGu5F$)eT9W&QKO?5ISi16-%TWgZlP;IV)K=se!5xswBbXUKDOQsT);#Q%yPS(FMgWQ z)-IS&;G@lCF34aL;r+L<{3qp~+Z6jFvOy`@k<+b)xL0VLg&=pLc~Rm<%84}wvy;<( zY3w`E5mSE+zPpYxEc>Z*2X%J1H>Sg*+3vE4Kk#v#72 zVJ<(>wPC#QqmM)3(sT@}TZhdeCV!qHgOPeom(hCj(?o;ME7n z6#^i1?>!V*2q9N%%MN3RV3YaVt5@qpFXA|rFn%M^7K8OGC>ggCKK3R$(Q{YQJAZ^O zivqHlmm>kpL+IEm70r^v`lzB&3-GjD>6RCQNxDJiF9+VJGvGY{kvq}iC&}QsfD5d% z|IaI1IJ9Vt6U=6&lf#m^6Q#H83kP*e6BBNI!eFhxCiQ*MTx6dyaZAY6f8hbub>!OaR!Sdu9X@1e}lLQbOd5XB~&f^STX?ji%F5PXS zLMl@Edf&JI{omJtA*XhwOKE|m+yXyGmWaeWou7(JT5{PRsd-{@XNLr&4s+pitjdLd zSRO0L_di$Mup_W#$*26FAFi9>&pnL)ADjQqL9to9W#Pvf05(NPeJ)~pD*s|L^{clG z5}JLC$e7~Y*^n=+`ULE|!19jqwk`J718*)i572=E4qI&lm10izX69lwsJ;H)iMVr9 zGqWvwco9qUk3XO?2USe5e&ub@7=xJ**5e(R0FdWZAa$uwE#sHtimsAL=S?Tg*?Y#| zGg}sX$+)>|+WLvG{(#*~#M&<;m+<1a4DTNL0b;yl?zYO{S(-zaokLg5%dJbjtSgei zT_q~Yi@RyAj3UJoUF_hlyC3PBbv8El%=zwh0=ln_9-rqz0L4W!dZUcezU*F+D;IIc zJu%veU#+q>E11sa38LD?`*a@+%Nfvnhv6gTtg5SziLQQBIT(Md{K!452vN-3q#SkZ zgGCCFN;Uj}9}Bw?>$pvFY@8d(dd6`x4>Wb=U2y|}F#gSDJA#7v>IRd1H4cMbTBX0Q zPsWrC6uk@{>tb7eQsB4?X1fj0|1-D;AqrYHzy-1qI@kOrqHUk&t=yo2QXgB=f%YP` zII;c+bUh%>fT%n+)M}h&v0V;mnioIG5`Pb8%lrr~#YK%+Zwla7QSPy008B8eGV{}e z=@d{xw?2&gb3PhhDRS%1SLgF8)uRpDqXu4wOraXTswF*{Eel0F4dg&6 zJj>|ar0xU3;gQbfuHxhRiK`8c#cZwIW93?w90A3+s)0>VER=zUd1*+Nq$>!Y;UhQ( zmxZeYfm&NrKK;#EjQ3CX6x@ucU#SC`EJA=8lSQ38>HrM6$n(IJ2+|Q4BE5{u1-3Kw zw`NJ4qjs9VqS2-DzkRSkg+4b)v7z2Yfxw^Z?;IzAziMy9P7PoCleFDM2t;zsyboIp z*k|8X?8TN2mhWD*5IY#&n`xn$cmo+K=G!^&*87qw9j173Gi>i*{z*grLY~;&cZ)cX zK==OH45MyMD;>E=}8cc4*|+AC7xEPKjIFr9*|)Kn$%deGu=^=?gNK1e&Q_Pf8a79DJCJBuJ)P5m`E zXaPDiY{pGXlLZU^RAFS3Z0|LP(j~?UkJ!XUViUh-s{| zI?&diX!3d*Be^REStNkA`D1p%!lbs%Z8^2(eLRA=^y^Iqj6+=JJSR7{MWT7uIF|GG zZ2ua^N!$G9B%{Rvek(9r3835`Od?JFP{g4PYtar0ZGd}&s_vfw0!Z-lx{<NRjj2Qo@3y`C)Nyu_x1g22G9%CW3e7VEMs5FbG9^ac z>+KBLJ6wV#&x}=uwJcb)Z6sP>O6xlm044;JI&_SLMaZ43!bWq5)%?W0noNgHie-l* zPW!yXes(jYBI!e%dLl|E*M5-$c2RAX0n#V74EU8My1YmdAO;$ZFwj*$1cbKe7fi~NN zcaWbR2@ZR97{||?58vgLutl3sS&2D~s zq>gdRV`GopA}bSVRghWX81G>aXG@U4VgzXGsp%s`cNN>U`n5^J8XgpuFxpNhU2PrR zcZ<{M7rv~AOpg}4gIv~&#++8Ov9NsSdL{B7OqR-Y)iTEYVFdP?cnH#qB&Ze=C5BPoV^ib`aylk^gVcI~L|KiFo~Kl2ou5>VeF1?OUQmm)ny{NHyZH%d0r5xi=`4~T#+ z-)aPHL%AX>n$7%qjsV}{IviHAKoJfWUbjCkko~oUmnMr;hbw(<%6aH_*q7Njh9I_u*cNzr0|S&Z0P<)X(3I<-;h;$9*E;3% zqe#A}b}Zn|P!Y;!!`}J4m7Agl076e;Gif|xyF~eNRcxC(_KmE;q(zWuIJsV zT(@aY1bD}XZm|9d(w+_syB@r$*7Ro4{-7pIdN(I(%k^$)TYQgOTcRpHssBd>1k$2v z->~i`fOg%5)aB#Ku?{m8O+U~dU(m1fbX`|SA2+{x^T4KdYa)WcC~Wymis=~@rBSSf z>(iJCcq2s>9B0Lc+4XPS6}5|K|4H-|*kD(sp{pW0y- z;B2^$VwSb0#|DMbvd{?~FSwD4XA$G?SOUF)!xG0A}Z zYy^!Hi`l!Qd$CXFOAGCeb=f{6sY)v^`XAOnIUA`2Yqa^4=;FoETC8QC^mVNIp}VGl z+su$_?!7cf^>bC}%1FuHHLviN;v*DhGxuvQSvAGT8XuFUGJm}e6DMGPVeBF{JytK= zX*H+f3eesHECm*v@AVObk)Nu$>ielTZ?Xq!IrRgTB7Oh0-zWTQqzlWbeA#Wk~_8uRrcat2vytvb|w9&YpAOX%&uFmi2epV~4TMv(l z50UWiyw`!tt%hCkycum>Vx*?s&QX7#HL?K|E&f3Gr#YSgS*Oj~UK2TWkx(MayYHfdCbTo&;YqKYzL?^sMPDWNBg!+L2MWVdyGW}$=i^zXH` zUin$XC}-lOHSj>I8ClLICC~$coB*P+8{_PB-By|b^fauyPWTvDJyN$n;I13TJkj88@2%Fu;KO}7Y0a4KHmrzE(Aeez z+cRJ#_{}-dAL;pgWO`33e~9->m97?DL5}f*K81`fKLU1sF`_bO9yM#hI;isk3BG00_x+8FCDiuNxUzrI)NIw%K!7coc#7B{e}r< zu&o@Wb5LS$8Vy}KIAdUFo|!dpb<^lpI1u!G7~7+~?+U>;HQMFHr9J{{zPSanIx<_A zCm0=RTbf*!GNcfu(JG^{o>D-JYKKBK9=Iuuslk#vbDOL&%zh}xkWZ(Oa$rzC z2_@2)6-8bZZ5PE-%9H-<@`2^BYHhjSZ_P#gG~)|Z+{Ai?ba=W@!^PfW*mRDq9IpfN!4lTXSH>2IE_P} zUTkA?l1Q{2veJb6ms(cxL4sxZ4~NNjAnF0*&1bJ!6xb;3HXW&9)6R6QvjP|`t=1*z ze3D`CM9C>zUP{_3-vQ$D?FF_V40G>f9JUKJcnBeAEu|g-K8&j5>>VDh-?y&!MG5J( zhMq?eO5{JnV6eN~6;D6!ktz$YFyiFg^t=#df*e#R`VzK&xF%_>7Q&y};V>s+2;~uD zU|Ya=-sYWUY0-_+PW7(PDhtV}o?blPfK4lS4La?yyg6}m)XxIByZJRCX;@@8%`(x{oIM zKV>7n=E6O%&sm_;njX7LO9<;@J+NS zY*>~6Tl!+eaQQm(_8*=dzIhi8`U}PSW16-+lRFncZ@%$nz>|!gn^!bz3*;Bl0wU7E zYs} zBfNidS2HuGct~g@Cs7D(U|$5_8USozCvkx2B9UM5X>?|W4#@F+}M%FX^Y4$%lYaQ68$Mo+e)Zx)ZwAqE#4EfEj^8QAWqe9kuja;hcA`YVY^#x(Vpw zs@fjRp~}EN)v38M`TUL$eIWn_q$xqs@@)+ylA$cKYyG=Uecm@yNX&S~gw}QtU7Yt72(r+Jobo za*I4z4bJTc?!y(l$}hIuiq&p!9*tOV+D?O7P1>9jW8bTTHQVEeR37_hm6987GFw9# zRzZyd4kHq)t^c-^0HwhK%ya;O-X2xj1)y4&PEv)1y5*RT#W2Pguvh#VurHx zb0Tl?aM%WFgMqCvHXQ& z(Jnot$W`-vfYTws#$Z-2PJyp-$G|kAV^T z0^jn@a4KWGx`j5+o<=XP=YNZdl6WCU+L_LOHzqLd^U%;eRhzFHE|@uTu5IHDw8BZ{ z0BldcsBl+mZSL*f4jS_p2;OM#fbqNi-bn4aPv!~l+J#^@?$~pv@Qfo~z`@@(d+7rR zT_-LpOCal!HnH<~pO@hs!nV=3cByYwn7b^CTmB4+G>aC+rqXG7+3CIqV=|av91Ovs z2{_48zWmf7iL=69d4kIJ0aLDNWA7Z5^PHy3)g8{EJ&zM>fR3@AiAneHFj-P^vTUCV zKed^)HCwI%=FKnbAn-N^4 z*a0`2Z#&z<`4+N=JahkMI>d_%m@)j&EV(XRD+uqOXf9l~zV%kgp@?}j#BNgpk&7_l zn-gt_PLdwNWV1&USf^=@6`Xf0^5^Eq(uuzZ*czyU03zzMTaS;PeaG0nEKpNh3+BCf z52`AL=UAP0#Oj2AL%l06YfJ`i%V}+3(OhkW%;k^BeFZTBoF5uJC7vsf(YuF#vJQIB zOfDQeFSVKoOe1u^Ml`SHg72eS`$~PobIckq;F_i_Ez`R#+PMU;^)g5C^C$_#^6GRz z{0Mz^*TLe}V0Y0${aKMLY2F%`NhD-ZLZ3lO^4docT<(U`h|3uUs1z`)UI{0|PKFl>;Hl zHU3T_qs;8S{HBc%;RcieX5Y41<(Dy+X`q^UxpCtCAF(cQG`AB@=(pP5-p0WxZ8^82 zlk~U?^*@Yv9Z?ls#G)ZFj4}*;%=t5ji}8&kZ&SO7r@|k~%Oj&LieEdZ@NV{UiWX}#6-Z-O(nPNlm;)Y~tzk>IXcIKv! zSB_fXj6|w-k$pa5rW*MQG{KlvC)WT)07Otm2EAM3><}8P6(N4Y{u)P7D|>c7%?twU3gTG5Z41|5!YBZbs3q!tjDDQuE>R!j znC zC9Via38Nw|XjD21msN}f34T0a*<5X~2wu3-_*r1u6l)6Tw zA$FYFKaaEvlH+zCaM3$X3n<#`ac~J#^A!jcJ}1qz(w~6F*UmuU_2c|jjE?i{$|v4$ z9wW!bw5z5a!5={4hu|w5BpL4$otIzF)-$%)2g7ni9@j z@h{935!bm|yAoT^prxc_lK3-N;M*-1lejtH1%fgo#l3zep2XFkx(?8+M;4=d@h&&n-DxbUM9WHpau~Bot zlNrhSvLt`h@fG^Die+KGksRKXy$$Tkwrufsa46ag#C5nep~}vay?F2-4m=?&Ur*-# zG+R@>UT*FZ#0P{+Nl8g_Tz*wU`wE(8S~zbdp{WueoG^>m{)GF>*Q-}lYx|dHsf~fx z$8XzuNuVaq19LO=flc?Iozwer5E8x~>%~2zf8T@Oo)6Lgan&{dhJjYbeKl8X6XPU7 z5-mw3i61A#!l^;o7=09yrKKwg9K-_nz%x(_FuPzq`6Y?rMZ8v?lMSN?9rK_9Ai^lA2MoLxE4rj!rXVhTX9@|=O z*80F5o78UX&AhyPCG^)jkjMrS1z3eu=Ff96V`kVMnU}aT^MYW_#Q=@m#vAv3&(5=zf!NCD!{H32MPt6Zl2pK?s71tX_ zCX*^?RROay0)~yx6EJ$8J1ML*C}0ID2(#p*B=w>(b&6Xc!|8d39VYnIE}QA{#45hd z7(lL(8)jt2f))vwe*=?Dog(2xo0+*eVxp(z&LUm?+SA%A8cB!V`%j&$)$#&W7eD&urWBCiN89ongUHSL!s? zqIEeZ9ct6q9@XEYVy_H0ZZuYTVXse+_N=-+r9G|MQNKtx@6WVlK}{m3)B-lSMGEq& zk}=6#OQHGB-Egi=-;k&+7AamU|HS&untL1c z;?DkJ{93l_nvo}cW>7#E+k*Xmqo;_8-+?kLqt8h`vnzrrjdSdn{+0=FBltT3XtP@< zh!vLD61;T>a(^9<4L7GuqE$L_KMzVz%2MC}dD^JO30N=q1=b^hQ@UJ|Cr09z0XhWl z^@bBLBDD7a^!3OAw6zgA02YwVT+5EOtCnDKSB7t-77ElCS@eoj4H`ry>;NfVb;F}< z5`hO(t;pA-ZA_gL1$)D+=i0_?!-y z#j`<|uv2jGb|d0SAoyt^xkA;?b&!opei(g~F9wQV;xg8l2pu2lG}%=o_taFYPs${I zqrl8$?%0rto=Wy#Ry*-*-JYJRhal+L=pSNZNk2q`=Ik5ajVrV$)PIhI101 z%qk~e%Bx%)`aCz!^M*g^NNh=0lI4{z|72n@sOCxR^^l?O*Xz@p*4RijxY6bNrY9(EW4%Yexg4%2 zLjDNEem_|5(I^^wZ$uycV$s0?_ow|c?f0_@^kEe+8)wqHNEf8L8Nve|jHD7Dg}v+5@#bai1U?Q$g&>gedW9ItB_`JIf3xh~yI z0@n&?WaVtO8zwgvkK{md>O(t52%XlOEbC1RI4HS&_8DYVtlm2%Rc_z(n#e_7-Uw^S zLnkB|f8;srwCG%^#1^r+)JZ|2Qj}*y_u{YFI5siPM}0m)u>n#pJCd=Bj6TpFV^0c^ z@(80Q&rz9{wof+Cb1LCjh|KAf`r&{x34hK!tAY3%&ZH}=kq&+5vfJzws!YQp17 zpU$p6dQbi<3eyn$Wnu`Wvjmdp`Hpfb$k;fIIfF`alCyNr^r#EKu$Toh_;$sMA;iET zh=r9IH9ig)I^d)Je&i+OC8lg*Yx;+PL*5EWsi}gt#du}n*Xx09v#Kft^!MKsVqXc- zn)~=Xl-Drx^OO4Viq{v;l?h|G@kQyL<^#j>F8ekSPX>wARF-?}%tsIffIyJNuXWU< zc(01tirD$Y-b8b10Z0B+a>n24(d2UJQd&1h}2m@}9DU zXvY+SB}4n)x#fK@E+dOW=ybK>)P&TxpK;+eAwf#sTy_>j5O_>>K<7|MRc4WrrgT*d z&)!pvq(zTR(&+!YJK7614?rC6BH8LPP(spg;CyB=ARvvjY{^TGfL| zImYP6vb==8xkQ4vDq>0LT-tO-SObtbdl2+nEf&ZYgizIjpNgQrdE&$|N+WV53X4sM5 zXnLz-+0zlNc=qy2%wg%y8zJISSM0svN*rxM@3|EpNRo9^+GFRtf51dX8J=6(v)%b8 zydEF&b0RqjNBO&#wtl7)fvZDaL#4T)BGP49}v-Psj?IwTXkE#l1((O@<-Y<=syjA?bS%ZA=0fD6^fVkJu7{EvZ z7d3lwKYIidv#OVgitVP|X6hY!;;(>OBCrhywr3MY83kjjX2r?hHWV@T$iyV?kBTE- zAS?d9b5PAUpA!mL>l3pKU{R^(`~tXGx+2Bh>60$zex4AgS08RU>u!#}Wl?6Ko_@QN?r8a-o=G zfK$qP>~&PQ*i|u84D7d~Dm3H4uR(VS%;BM6g@fh@$KcT;sJL|c8{~=F$c^ls-S6N^paYKpOlq@1M05i3$EP)EyDIswwef;mV+?FVpmfrZXH7A<6l}b3gH64Le>k1vNj=)V$P$fYIbz#dATcyG8oY_EBz0k zNjGxsqQo`>u9qjM<%x0&@Xo`YOR)%_d{%OuVlGc|6HD7zDaXhoG2C7$O4Wz~Mbl{k z=n0oLY+{_OW-X_u9Clb;v*99!MHGc?Prh6{dFD{gj(yQ4O>q6U6@pL@d(GIN*cXq^ znjx?BX3JjdjXlqqmBx_e&NER6y=nM72~vji`u%)6YKdKhc$*r$bw>LiCyp~qak5g| zi^wWKpUClDYOG?bG ztXPb!jqj>Vzf}DWHSX~0B+IjoKTbdK;;#4Q9l0KSv5h!YB(TC5Fs2G=i!)-RR%)!D z%g#C;%z`H+QXSJ44TFsK)Q0clf~iX;ti4% zW|hGnbeL4S_&)?=Hum;yjHczlEyOc=>#{~0l*0a_CQ`;QZI#zuwL{;ZxN>c>YpVXV zGJSV*i>^B)E`q5sqE^-J&387XDma`4{O+OX61u8(m_4|5b({u!+M2ifWH8y?Q2Zo=U<5LVRq6t#^q@IMta!|BVs7pQSgApxh~6X)k1|A( zWEv(}Vc$?90O&NUbDBdK!ZuKx=GLk~y1)CRt@R%;J2?E*@7JOVGyrjYPjn_Q46^dr zbE1Rc!*Wk7AZ>(VBH+Zw=XRQ-edeb;i7Li&rQN%cUeBeH+NDePYi=87(!D$9Cy1qt&}R4W(|^ zF4P_{LGCb0t%;yPpB|;@WjP-UXX5w^hIskTV3-V6GT)m;!5_eSJMrVpt$OyNNJeeR=`Rb`aMYVM{P@UMS*))p}kA@@=77wbJ+8ZdCRf?{b7*v#Yt~v zK!6J`D=4DGGbH4dC^Sm*^TDDpfWpirq*+oTa)9M0O`0IRy(~*XB7!r^%|{ibA)z5c zs-)7_{@v`poqOS@+>fs`V>wjRme&OIrW1*T3)KJA7gSY{sn?Djl;cH5>gs>aw>3yi zEU3x`mU=RIe#p|&54ZBcj$FVIqPa(I4N{Q8#G+{I=M&;Iu{d>+Ke5&;1 zeL8)ce%ZY+UbhE^ICe?t9v}(vnjX^bf5un6vR(@o#d~KGa1~o0Z8a0I<$});_4p#z z0z6Z&%F7#{4uA`>1wDkFgl^xvnG z@u$Pi0)iPY%+keNnQ{$*;htEJo_AtT>{#)bkGTn_5X(R{y|g{O2~IDjbGLu+6?%kw zTl&<$9DZMOEsZR@p*cb$!d`lt!tcuDkXG>547gw4r-Z|>6;Keq{ioT}I}4@uygvoz zL-Llm_GN}T5+{OCkN#nb%F$?Px-*h%dnUEL=1;IgT?F2y5_>TF>E-rkaH zTQrs$hXAZ9W)9(?7vEp6er2U~Uu5heWX9-o6BODs2%gs0nAeVVW+WmSevplngL_}` zWsm{It%#h7Cq5RJ*`A1mSFNi$`5wUFtKN zOCX&ix4#K$XIX@gB*=|<*OzZCVzbiRO0^E?Z3c2OBXVQ(| zP0~Sa68x_Q;Fb4|25E^Xm7isrt8ItmhBvQDh7h>%QKm8}KJxlGML)Li6#qY>z5|@< zH+&x@8KsO!M$0(I7RoLoIaVBdh9sMe>`|!@ibFCR9FEA!-t&ZV%I0K5l9j#J|2e+D z-|ydbE|*I=UFZG0@AE#-{oMEc6!x4GIsE`|Z!mVbd>(OL|F=j3);iicAyUBD_@)}( z&O88BRuZl&KbNz-n^J@!iZ~lGQI?jLg7suUNl6&Mno&_v=dXpC8kJHvWopFWL-iQWVdX_G> z`0{q{<=Knx^%zGI66q$n#8w-Y&wlv9XJ(q3ls@IVDHqdwaM(x=miIie$WbT0#g!Ig z5rP01E4QCaVd+wRT`EP;TUt+{uU7vHWwBD}cI#!)qRD0+DIxFk(dskIAXg2Z>zvW; zb91OjIC_W6lPf+9`9|+f%M(m|Mqv*Jk?rI&s~dbgsES2KE{*#pIxUh?^2jni6(G;*S1{q03q8I{4@F_)pAbhW1$qbOOmy``y#L_^S5Ye!sxHL^C}h z!(ki|2Y-8-T*gqh3sDm9`y1; z`L9L}4`)W7uY&b>zkw;gY*K`QSKK{I=6Z?^7n6E?v^)KKaa{?^CRjIywCv zL7)10dhcn-5-uh@DxGpcHy7@Oa}*ofd>!Q)vD8RhPWvzhlMdlRfKm^(5KUbZ?(WC` zKK&dk=@3|!xIhTAVaOY2MocRG)Vm)F{o4?9CbN)Ul5^HZnGtXq-b&UeI@$~>%? z4MJ^Q4gD7UzMlVtoNjH+3&2)jA_LwEl5DwY6myaEaQc1CTc%V7_*?0Dn|c-ZGULtX z>QHh z7IS{!JyJNOMl8Ot?*E}q!LM$xc{&JPNqTlyVs5e+4IZ0G_DW&Pw`O!?Z914gOvdo; z>tffLH-6EGe{Tx+aI&!^jf*=<{e^jC>qg1_YzAqapLzqTwieB;$F(yB_ zZ1OtZOUO7G6KPn;1DR9 zS6mvk_5Un3*ZPAkAlJ(cW5Yft%4ngrbYMpr?l}(HM9AhMMt6Vd|7WC;i z&gXnb0&(Uhl9+#(lv*9YRk{7e)RT@?7Y{p*~QP-R-EGATGtYGf_6NKyZwL^J_+uBZ5kjjMP?foMhmeCVM*k{LFnl9aLt$2MJ zGR{mht9fl6LXXq#qqUtT|Af>EZ%(fej`Js_t|eNL?-SY1(P;F& zxNA=q-PYbt19YwII%#NzF~NLTgBKK4wCipSNKT~=MiFKhppj*u5<`78O@a7!@sICH zN@DKhk zU^W%@vLjoU7X6eRQwU@L4K34uka7r3@+ZzdK|@?JYi}l+aRg~E$iwGO7f63gpLj3U zqt({8`Vn;nr4_9LZHu%iz@V(y>QX!N)Qo7H_<1V0RK&}Etn}{x6}9fyBbMgds1c0A z(a9omELN5GrNw(c&1>gy83YX3bTVcaZs^8fn9_Ma4${+f7oSxpeNd@$+u7DsUg@z5 zhgFD_$2>kndyn@{G5uG|y_O1$af4)9SpQhV=Au+tp)kx7e(;9%H&dWi-5;jF)OIJ9 zH;4!d$nF8s8g_ZME>V(WugNTl{HNzR<7or`9u;Z6u#O_8#C!w2uZaUn)cY_!!ttwR1O9m=Hh3HS4d@*%=pz ze81*{Y_=g19JC2m31q494w}^ZE_OQ~@fibuK8!AW0P}>`k^~R1PhH$GW@_mv_0yge zC2fJJfJNcW%K;MmNB%XcF=cajAA)8i;2`D5n>20fNPdK9=#leZuD7%C2$E}rUx`rS z*L03jkxN5K5m{32<rch(7bc1%5v8RN;$IyuWf=OlVI@DuLh%pcLU`ZErdSNjyyXNoaQQGp2# zuLIRfQnzLMqFW*iY9E%i^$ieKN>h8UYDUbg253^v?%`D(P<45iWQ9XXb@{caMgS-R zjuObt5=lG+cu}KR-#w-9`pst*9ApjGx^+0Z**Qu#?-fq>CAD(0^@lrpZz_w6ADcKY zPbR8;PrN(fNTb4kL{Q_4PSVUHJy3f07?hxwjfJjfWuZCk#~H~$CJuofSl73fqVP7b zq&PjHN&cNSWv-9{BfScaE*=`C05SVWP(k1 z;-ZrZesAjZ3=Nf(e&V4l(xNt8%54vmmxOWYH;E+9CMvz43PKG z7kha$frXeI)sfT)+Y!uQt#8(_C7p4{H*^I%ESIxm2-?fPRF0vJQY2$3eyN* zW+1Z0(LAjVw}z(sr1w$~l2tj$rcV3gdZvF-x?_Khrr z6{np6%|N@QoN!GvSmQr=KYT9@7|?(9b_T?^Sf`|IhZamIR=T5OP zM!RHJ&bBdE^({~hO?H7CH?2y;{OPyLY`^V<+O-x)Ve6)La-dlUVx-i-46QP%{24=u?;B0)iu1<;nDW#rOv@k}e3} zbC~?`R+^^1y}Xy0kf(C{JvoTMJ=UpGlviB_7|bKhSZgIK;LSa>mtrAUdXkcy*~8w zVV53bqW6$+*6JA*QSORsnaPN+_lnQXJjoI7eR3|VjriNziSi*);f_hQJyOdSuu;0k zSNX*PN_hs6TEb-vvAP)afj-;p;{ow3O&hTqQ-Extm-&QSx+I-i8^$5;IQkdjHgOaD zxaJQv$5uXtGdp>s>a=Rg#6-AV^fw2K+i#9y_OkQT4Pl7 zI-Tf0BDCL314|HSuh!WNuiSE7za2b6xh%($JuXqCtaO=9)0r? zFez}q5rx)YwECwA0r!YW${Cw*hu`3Ic6Npqo6PZxY0qe+BZW|z;WEi&zaLN1%~`8g z@-c?Rr}3+}IO%YwUX)YMZP_O5m85SMN5AF>HoY05*x9b3xdNSc5$w93&fCt)1iMQT zcH!1lnod<1@xB!km_a457Pynf+4Oz^|Ie4-Uc%O4HW7w*z7*-TGbLi64=iYzpI)=@ zfA=qZb25qdSKcPF`ly7)y$s7|GCvfjuE)SN)GmG}zdsrEZramZlT-H}(71DRb75jI z<=LEY33Ck2Bu`6oR!dOaCd(Ut_vFs8^UuwMa+O2X?M;yJjn?|P6JIdADqJFh!`C?H z>Uh*4qv>E}CWY;VQGXfsco-ZCgn zb?y@P;uQUri1KWex6IJw*R`4NWb7+O(KL7Vx^Pwf@itBN{<9h&?=woY3v}Zmrp15z zpC|g}-V26S*2kkdLT=b#fza!wsa&riCrOeI75hmb)vSME;Xkr9q*WNhP1IFW#EK#45uOs$Iq8DJ z!XLmAaM;BL6lN&aDE!2EY6P8gT}fT3FeVaGE|@Fsm;@W*x39cDqdsGiELXHJIz;2x zkm#LxG=GtrK*L9z8Na=+%N(2nC74~|@kv$^|9p~`@9~3&MhIv#MBvMNUpL}yMf5)iCcwrAO*T6=O9F~OK8m8at3^$bL&nS$e;kUQ4hS>alF zRNjnO43Po0 zB4n?RGQ-E&8iD?oWo?L0U$aMOA_nvfObgYlvefj_j%=uLD@&M5Y2P0T6fE4i9Dl5L z;u}M5@z7^{s>;ky>%C;|cr?(Y zR9GA86ku6oPgSs9l)O4&zR6il8~jMPDSa%`Jjp_FaYval@>_=dalrB32tc`uj%3jJ zYF~+&7SHoQoqin~S^xP|MDOfp-L^jMk^$)$%tMS~sW1S#j*gBu#2%Em)1c&B^9WMx zCku;<8GkeF60dR|Udpm=hs!{zz?m_v>BBYig}%ZN z{-QH%9N5aiAk1=(A*=k>^e<}StKBH=4gHU#wolmVUEJrY;|yU@D0UhtvKwRHV&7t} zdzbv{DP3U*s*IvJpX_7XSOgVW^PG=tYhT|PNl8iU6T1&T5*c1P#n7q^?&EHq1Dxfj zk4D}Gu0YUSIs9U5H_o{oW7Dy(<3jTC_^99G5XU@GF3gx^VyD0J^{#+ARYBkgEoL0~ zYVc{o>9^M?3sh4~?H$l1ID$?08bM`jaLM$EkysCpwvD|*d}e9%$I>g{6}+K}&P4uL zi(x^2DlvORqhH#Tl!a5C6=;}0JOoOd&mNAs``~;0_vZnEnF?*%aiIwMvlE)9zo|gh z$=y&3?Bof27DJ$3s37Bgi;$j87Ap}kRX?HcIVsh;GFvb!)7cD56;ORPJC?ca^4pAHoN zvkSv9*NCnrO)Dwb?D(1MN4H{sJL*dDXwMTgmyda@MP!N z;NC|wh#GWYC|-3x@p3=!(xejRfO9K1YBTe83aBHr4&={IOw+GD&r5|63b&2`fu0FO0U;R>c^V6I|OH0H-8EzWpC`4wOdUW<9ui>!iDjp6IcFY z_`<0t+f?4A-RIw5p=80<%V$n^c51!!_m=S2tka2}X(#Ruq9kZ8*Q$PAw{glT4eBIp zvaA0wZo{gn#2X}C&s@wLfCy`q6i_@!hn_XI#5AHQFA;UNTJPpCS5Cz7SbbCw`x_0rci1i5vbyY#ZAW^1sqvfiAcOC9p0 zC*HaBTclP*W~!BO$w2lKhH_9gl&gN%Oa1TL^-eo+o(m zQSZId%T~s&)Ti8Ai~f>xymY*iN1!BMHpmI(KW9E&dY_C+I_1pJ?=%I9bCZQazDt@*k7{) zTArMoOy^pxm zXG!@QS^Z;qih#8RaxS0aB&o#jsHT6fJeI`Z$xF&oySCteMLp|_gaeJv($eHsfAjK1 zo+tfW1T&WFT-41|kD+-95TKE{`H3!ZZl<+B^WFP>J=2)o!oU}T*PE3u@ASeVIihsZ zg2BNTm?dPSj;D&wSnbX~U;+;e4pP65n8+x4vp2R$Vg&rx#57Kz988>&@~g4XOBnPN z7!{7V_*`%Pqj`Z^)T?F~k6e+bDO|UI?rS&fWans23(fDalx8LUWNvqomVG zK=Whp=f#ZwU#ZztY?;>!2V7kwq|;UJPnai37jK#EG6x-12o*b-Pd5g63?#EjTJq|Z zi^f?sN2(BCT*_qhJvqPLlMV|rr;WDhs?9~44~YtEf57c>(nlP6bFANwzB!gj%Mn83-) zJ(YJo)yvX89Zjt>EU7;s?)Acm1MUBUsSvSMDEfnNFSQCzw}XakxF-dB+Tva zG!sM1TKELyg~z7}5E5Vwd+m4}5Z7Ud#?vM%pFb5)vjQYXlFYzvyOEYA<#7yp59s;j zfdFU6;GzsNe4>}YLvL?Ih1oS}m|?>g^;RtTV!W5VpvGnq{o(v335_zlvt%4o@cy!d z!kU^WU`znS{W3dq?DyJtmE5_&=6-3f^c`XbPE+2bFl$*p;e1rvpmDff@}sEXI@vU= zA6gL|oaIE(J2FuktdZdGt!rT1y6{PPw5&^9|ipU1c&Gtjy+F5IO3hR`FG&^F~iot-CP zWX7$c9P!CSciFW>$=(i|VnU{_eU5pbR>?d?V$wfXyg8*Lq_Qdc)c6c%h$k@h9Zs;W zq<EL#fluRY{Jt{1WGyKYpomfp0fd=k_D^QcyStqNL`z9Vwn2=SIDrv(}=X+%)X@h zbiYC3-{Jj2IT5iFGPNsFP$TABQz5xE^4+-7EwG%Et7U3JnA91E1(Nq@2?sV;lF67_ zI5n&0=^62V(1Q`^aDyf_2E{EPENo+MZ;w<Q8gq81H^AnJvLMI;7e>%u` z#WpevVRIjKOUKl1W5jpN3%!Of&Ly0)0#0fn12vM4?S47hxY#q>U!9Gt8yfvX(ywT? z&oVIPCatIO%A)J~5nIx(0*4Hz7)OO;yBiBfS~m_n+%|gaR}RR0Cc00S0m2U}Xci#5 zJzO7IXS=Z`!$lh~$VJXo8`8BpvE(Ov8rxW}w2K4;$h}r4J zI?b2IVWW^~04Up>abJM^{^V_qGxkZM-Y!UEM5=hI6laW5x-(k>@roRg#8$E!*W3K| zO_Sulhw6-}b>@pTGt!(J#rrIG#ulFTh3dacaZI_&*wgH%p-q%X7H_j+i_HAp7^%QAG5V{9~?EJZ5F4PQCSHpV5-vH4eZ zp{00qDW=@fM{b`(d+`a(ZH5K9sCTno*KT7?e}f`@mk_r->FR&+yM=r(zIH`=Y(e2j z`Thqb+4WS89@VWanM98^kWjWOTP4_9`AIpNp+OZgqtS&J)36(2o(qp=B=`dF8TMKa z4h>h;wZLt0IH9au5xpbee$UF=)gqd=_xyO4isDFZxBt<@u4cd}D4z@W)nO4X^T)&LIa1RiiQF*r}*TRP{ zNlxaZ8(UxOLYWcq1B$nijd@>s(w&RIIw;31X1J*|y}0?IhGNxaQd8WT-JB|DTr~u3 zNMX6>U+q`q><-QMqh6d2-Z@jfdCubb)r9~ti|3;a$D%oZ!fhpbrP3qLg)wm=y7mzICEDZiv@3VSyS3I-8dcJmAm^Uunc#5@9cniLt1QPmnQ&R z8ZCCidYnq#xw64BVX3j2Duv8n0E5o^WT9=gRDZDDVKy~VJjcCRr$joE9yr~z z9GJv`BY<^QhYXSzxXm`=Q!!FD#>-gVQuzQ!aY#ht}l1 zWa+gxL|jVGP@I_&L_vgxBiG4iq+}><%E;1EHEjy`&Om(r74YV3uZ_r>@ge95dW6RT zciS-(COgjDuOradClZ1m?NvCtqsa-cx@Vl16Re@`{?I?G+52Hq6gps}peFR%{l5kv zD2%kYZ&cK19?VFIp6>AI)w?%mV!CzTFtmSuO^Vylrs%ecO|I~|g>||OqC2tNT)Ci? zbN5A84PbhL`^-C!fq6)Dz84h+tF=;p&-UEr!M?)SSJAQLpc9*TZG|~bQbG~!QTPBl zS(dw>+PKWg$I=+W=u0(!C8_#JdRv!o>;2!70~DpHti~ zRL~*N!u=xQ(lI@WjOC+*v>DWXV%n4XFO0+pJVI-7pnl4jmik-qS5#k2$ItyVZ(2V@ zLy$8A(P>J9TFuJd7N-?Yb*h=0OPbp>^IY8fB-T`3Mv2TeJty2}Q_kxf>QN_lv_!L< z3lC&B;5Gu%kA6f5F?%!0TwAlSRTqcw+E`9Oyy`>8vdEZNv zjViGzE1vqeQ6?BZMoJg(;X0g0R3$@m>3{AD-I+MPxc`h|7Qa5azO6I%O`F`MhL-i` zN$ux{S0=ZX*Ku~!(Li&yBQgF|BFG~PRn!9(a^*IYQEd}nW~9^f{H}Prop8Z7iTq6G z@esPQ?sb*)$TH>Dq$DO;t{e5hKB0yj3y2%=A`%aCXGj97hEG~+G6G*dE}|Y<^PjJ( ze>Xum#NnhfQ`2XAf}NGZ7#(lr4BVwAkB~?GAo-+SzV)o>Lglc_%Z4PryQ#NpfnWZm zh>pZ=a7S>;5LRAlf#U^wDkogM^en&QTioqkvWM*L zAZ5@dFK^eX%mMFWe|pt{1a(WDi|x7 z8c(O8maWIuD>U$7;p43grpX@Pc&r8{=e+GXZ#tW)EJV}F6FeDNr<bfWR1rN~cS2hgIFVb=#E@hx2sM z*c^eU9VuqRt{Ht+B+os25UUuyK&xop(RL*+mB_dhSUe;^ugfk zm#)<7p7Z&gSN}|#f~zJdIJ~=>{Ab{af`9<37@^Te?1mFc<>W{1QuY6@h@<^@`EqUB zi+I%x>>G0HE_4eOM`CIxQm;v@E--cq?R0YByMl{LdoQz>0UL+p zfC1c9NWUtFg}}uKWT0@`h!SikfI@>)wnOUQ|0Qb7-_uugH`qwETg$jVmYm56^9U26 z@$$iGUaW$?!-E~T8)XSu*a^o}9ZgEzBC*i6^+fSrraYP(@tJ!;!444$J6f+g_FjXz z$q60vj2tteO9T(d5I;aTv&dg~^^U2z{<5YSN#@(aNe=Wqa2kPQ5BJgV!_g>N!V;Kk zu!7{SL5XwupI!W+i(2=dy&bnY8+a!G4za#iV%9Xq-cIoq0hA zsylI@x3FvH+dl%;WYviJP%wWk`cdz`j-qY(el0e`ULgFigNw=|BN6dOH)rdE_w(!d z>+T*n%b#?`A2iY~2FWsyzBq{5ahu#fN4kyKr`}sZaBSl`_OFU!Guo2EVh=&pzkW{P z(&gbC4mksV}tzrSUrJr9G$uK6S}kJ-AgO&ku%SR})ua zT_nxR{;o?}vA-a$1(OgNGd%^7*9@LqxFXSMG=~v9k zomJFMdQ>uPER%rA{*UJcd>6h5>l|lu_7~1A3~@snJtZ&9yN#9&@ZV|rjgnWQ!AQg} zPghaAbhLW@&nwikSpu$~6wZse+HJ;i(DkoQj9G!%Z@HJ)q|3zLin2jvdfuheFWlK< z>Yd>leK;`87CuUeEXssIE*nVFd{cPB;l61;)$7F1n| z>A=L8u{w&dj;#}2@jpJOg7m}i4wU%->66$)BC}f}%wH#Te>%)-@u%A?TP)Nie(7gR zTTkLEbhHcRT{W4N=-#;5`1kg^^JFFXAG9Ic@*HI-RMM%?H(VqfadxL{p^Z zJ{>Oa>D*WQ!*wFQ!-SB7<%#6UMK@=_kpfHlaTS+%86jrUFxnjF_I6#pQns%bjInj;b!b%|JPZIqc{o_ht` z8DbQit3QVORZ4f{#=jQs^-51}gkM=>?;qJYjZwYyGxDRz&tQG^DTaHaU3w}QEP1H; zucG_gU$HYG)A}9gan+3|HAM2K7josonQyUs*W_g5=WMJ=y{aGASm_E13qzrqL9#gV zO?&p68y$o=+d5HTjwP2`vt&%DT(~&Z}BqcdyUda`Wk^)i31DeeAM7pQ3vKWunGI=2 zKDm3sC~q%^R!3)U#!Fu`cUg+ZczzE{NV=vU&R)fW-bftjPEsz}(AV&6RrZ|;>T&i8 z6_fu=kUp~>;3@mrT*kuhphAQcmO7s<-!EeO=V3{`ySqUqyfstoI>8Zhq;`2Dl()vK zt5r!Wn5-_;wcdZpEr55QSN;VRR{;L76E5YM^H?pad+LCE@yaND^=?OJjbKo^&u>%L z7U3WQt$Y7;@{;+c%Figrlb@P8x$(X_e?;A-gvoOl+O!@Cv*+ln7-gRY|KBp#i>%tdX8TDUzWvt@X6Q zRGVK7$?KL*)Vl@^50<&lUJ7N|lUz(R4N2d#AlqQ~6h7RL6|BF$#tUzHK<&!0`Isfe z-*i{reL|3{K6r1$wf>J>O#Q~V-O}k4+47Szuj!^#;_;U=YfFhj7a7pgB}PcEw69Uz zd%5D7DH+OLEf4sPA++BV{jOySXUZ>he4F6AYEjCAXlxUNH2SXmPNq3Oy%V-7D2R)EAq z3_|HsnUFZHW1lJD_7KbfPJ_~emF^gr zXIRO|u|%U$;!CWs1SQ~OkUa5i8!K8N?f6sw`Si>jS))5t8LTXyJQX-&pz-|}kXwjr zAhrPT7G3~Mk*JB+*scBj{c}D!LUE(3XZRT|X8`<2+B)>|e|8$DBH@278}Z|pUoVUS z-65r+nL8zTsYS!!b?)NOVH2z$VZdF--GL>)Xd^zt_+QorGXI7^D4Y5T$Erd{3GGL^ zMvl(rHMO$ASXJi}=)7+o3da{M`k!eoIvA5TZmex+w>)&BJ6uC2pOKExtQzvorhKxX zy>o=11NxEU0UeQ{v!njJL5t67kF=qKB9zWvqx8dQTJxNLjLr^+v4NLj#GqM2B ze?pzMU!b?(BrW&mwNUSd4Y4&g$eXBgiyDdLMW`7+1j>yZSi3(J=y+rV;%8Lm?kqTw zKpVij>PAA&Zn;*!@ZU~v;)X&zywFL_eYVm)k#|n?~E~unE3%XZUrh6NIb3uXM zWIiyTIOOTzR2e*zmLAVu5-DXr`iEO%&5A{;yQO6{ZG11wc`$77i-7MTKQ&U9!foOi zPs~->`JY1r#^fW5OZD47P6jRJTzy~U%f&V?S+KD%*BL5y^N3u}s}G?gRu5ZY7yE{E z{UvuicRio{ca(?gvr%3*&!c7~C!Aa~vGp&IRK5DV?JaA8)}t$!IlXD4A*jZf&DVY^ zp0%Ys!96OgX4CDXaa-5zkFR`utfOSIk+Cr~Lc34UHdc(_0W5YVmD6{*SbX0beWv)1 zUAIP0>u2Kx^b^NEqpNMEWYq5v?R!mvz#IW0J(nb?~f1gMldf?F~JrP zmqx&Up{9Wqs zpAUh~Zm0;SZ9x_N#^vfl5Sscv<2M{)U(`LPNM|+&TiSoLK%SUkuMyFjVLvAk7F0%T z0nh@bgWqDEt#R1N=>J3lSkByYY#@e#`t#jS-#c3(AU`o0qrRT4 zKQ!(6h<(me`o=wbikAa=vI-?z|*u|dC0}Z#afmVs8HYm{2rE%kasjXQ@(^QG&+^0R?kG7 z=iU4cZuGIyI6Cu_OICj~3Y}`5PjNNjT57yV$+%v3m)R!F3ztiXuoM)1XEUvKC>?wI zWgDvBzjoJknv4&$wf)cfeB-6aoV}Ty@A*T~pCBnUV=?PF`a(x3lr9j2<-dv-bDI8< zEag_nAV9t3+G+jjGs%L+ z2H;)Lspz@J5rc=@8REgaJqU5}w|i{#!CZ3Ii)1JXOwHNZ*$ZAtwr2r#1=FjSJqy7H zJMMqJo&`lQJwP-LM(h#GF*cvxCx~fhWvuKMQ5Y^%^(dMuhuI?S9fB3~x|St6lm|X% z=c%&6Xyctu&g8|k$(o5vh5H-y!T{Dy^bkHxD#bS_eJ zhkc`yWMdWiM>#!c7qcwI)l&Z@L((6#O~u=y6%3@C4Y^%1HZLLXlj8Oc>GP|$dvi_& zu{ViD3_7ER#;8HNEMqi<(5hbizaoqQwJ<-_1Gt(B!&|0($s&a9#1Z^ zm9v;_${Vx6i6NTJkfkp>jCB%2MuSef;nnU2zLh<;{YB&vul5F>RiEy53mG#Vebtpv z;HKtz9G}Ckh=*dukO|Q}{YgBK0j(NUx+24_axQ%0`!s#CG^?!^gvw{!-rwzgMx$iT zuF7qMjIv`4RmNXRSnV!+n_Dt&NDSu=oM-Zsamh6wf_a3K6s-YSJnhHh*v(iFVSk$agw2x)xdATgKt3{a@xeCslcJ zcTwAVQVGA5T6a99Ixoz!q3joj&#u+RTr4~-R7l9nUGueU_JH%2FVS*8Z%cCWvw{~(b0q+4>edX*I^?;LCwewlyVGg$7a z`Ct6Mj+Ka#WYq5m7r6UMzyz42m425FP9;G?pjLf`{21(kxqu0T03s@V_5(VJyKfDY?=ZQ2U_r(>}D9PSw@h)88^hg-^UGr7p=-;)^ z8*Zpt>`=c=HW_yzQ(+DLHH*SkCsfih=O3=4FeGJYe!Yk5_-AuDF7Vj(CtU*T zi*sqD?NYw>BM!S{IYaUoE=?I# z>JvXdvYgCD>BfJ9_-?fe$p;j7N}A~X8}%c_>p>BFH<}W%Z_C<}AS1K6Ie{Z!9$4>X z+0&A>J0v{e;kxCx%N0=5FDa*vWF7yw$RNv@-_pJ0`fT`c>xM6%4OXCjR=Yh|&lS{C z(SNIKb0hrmFY5z&_wyZLtqz76*L_{1M3K=WKtB<4W?+$#Q#?A5aN#8=!oI z8P?r$#Jkt@qkqi-d!c1T_sopYJsGxEX&$U1QaWQw}^P=_# z?FQnK&kMIxr!gJzqNoi8vbPcB^3(_P!p#eu59&yj0q?hoQBmJjHj*Rbwd?~^aP!@< zT}~Z8T*0oMc18Z1`tJvN8}+LPn7@Ut_5|`AOH_OuTXe=z|iy3#x`cBxccOx`IL`RO>O-=FuuYy@V4O?!fAjbcRHR1SaNk>k3( z;7*_vABA+P;F!eqU7J+Yhj^N$l?pZz$Kcj-pBoT0^PP;p5Z_)z4(SN8?PH8Cj;SlH z@)W~lj%KKsgp8v}6_1IHgxh>cS5k>IPvL4YsvDA5hk8iT-t*Cr;_qb*;Os!RTyc;( zV#%mcuf^$eO;c5)+#mJooSC7I@pyvXA8?iWJM zd|8s%G>4>%oUEPo*TiD0(!Y4pssMp4%X&UY_{GW^S`` zzS^U(3qudOc!wEG5++3hHzU!{mR)^Ja-R0Q1`&D}=)L#V(7A@v>H_oEBsjPq(T^Si zCAH^YH4Mm8Oj?Fo06@&uHzFL4v%L@4YT~ny3VC`Z@HB0bE49qi2e>G#yLwOts7WYY zD=N;mzJ&lB7{~!g;L`V%&ucncxkd8v$NCk#oA;lOb&*RM&N}Uk zH|s~wZf`p63Z^|XWY-No1G-?nth4x7$HJqTwc2VQ6an(m&g2BUBY&5y2R&NGePQob z-xLWLpuoCK|p^Ue7^9J#&(m~SlNX?Q3gOr()9><)8Z>Uu4Kl66&K7nCqaO*G) zz;V}Mx)BT8?rBni^q=ahx$Ne8u|xj1f)_Sr^qIoc53~I0#ouLQ3R_L}#I)nPORvcu z&)pdkbf{OiB&*&ESNgfy{(2(oVDAiBoSIE=)YO=l&z}bNzYLk-LZmBL$A_LX+?2kG zL~@Sy&_RQPc~i#{>*fY^*eEY&#Kw`t%bHw~4>=#?|M58Ag?Zod={9Gwq-z+iFQf;t zX2yDpSVk?Q`Ag@0k=8w@LiRvS-AC@6k+(W}j512~-`!KE`upB!2n#aF`ApsN_07sg zS)EtFy~$#zKTP3mVsiV2Ql9XauXv=^5^S2!FeBr6B=iuX#=#(X1Y3n;@Xu6ZI91@T z0K^UK6pYO50WAh?v?Nl&($rK5q9ho>K-UdyxgKd`GWG5}#oIRO%|^`(ET=_rql{^; z2{Ly^J*#bkR}0omZD4+k zpV@|DoFChwh)^FESE(ERg)iu)Y@8y$e?DI}>rqs_a z(iP(;Q!lvPNU(6>q0%*`fG!>Zey7l6@k%wM$O;e@(oT!YgHy?`-_Y z$kc#hR&tJ?GNC1{!N5`zGvsaUC?MNtKl=z$n0;gV%pv zop@3U`@I1&e$i>cP80U7&1jx%$wVs3H7DTi-Vea)?;IWvYO31tmrda3n+G{S;#>&x0zB$p0?U2D$khT zh%9ZC%x}7~7`%iiXFs5tV%3`HSX3>i*wCyQRiwH){`grB|6zv2nzqd|rW#}|W;2;D z&%&zzXTd{q^~%^J;mF7e-x!F?m!DaX@mVcwP%qyMV7CY(G*52USf4oO!)X!y(fw+O z`UVuAnTP`Zh`ETL2F-sjN}DLfr90+);-dj@S1YSnl}{&0x6ddyF^TuO4PwCP;uW5z z^3(`k^F1@$BzgQ>pNO`5^Uvh2RypU!4AJimMk}bKa>%qRmcE|a!lVF<55^bhdGNg| z5Mce|n^IPSEoBw4t@|IWV6`A;9?CZ6WE-KrM#?`EZ3w#k2kjh_>>R`)+5;#jc{bZ3| zFmJ^B#GLM&I?K}9oM_)%Oh{h713|yL05_^cTDuAit3jy3mh~8+j;wsfVyw-TQl2*W z8KH4B%sGfn!KY5VW*1ic7ZHf_l%u3y5ZEfes>NBiqB!QNup@h`n{82bgYeXMkpro@ z5tM$u?#V(uNC!k}1v003YR?{=1IzG}Rs1_3;??7RfhsTtMge(vA3v-H>@lmHl2mXb zd|$|9NyGm*_x9)M8^bXR_`5i)NnXK=wFb^BJU48n&JcM@W8~@*>oeVstn*yoN-OPf zY+1dBdbFIh^xv$9Q^{oOJ>tE4;?%hmuZf1p`1AMr`}<*3K_R$w0-p_PD1ZX6{b-S8 zGhp1_YCd`F2$Wv6$$;$hXTOPutXNILlam&hoiJ6HO^0 zN9Ks$(!))GpAo95y+Or58f{=1Bm7W)IJ3v^PJ?&*Bepv#dHC?I8+S5@WK#t1v6Fa2 zS$mfjHy>ui?A@)V1nJgm43?|$#HM-x=L7Lh%XGr4o(<{;OtaTQ{e`v`n1S>!eZnLi z{V@Wso2|^~lG{-Z_%pcN;Oy57>XDHe=4D3i4uw;1+ho#IL1$8=F`L(EoiG*^l`bgw zk|7hfa+}tNY;`VMsus$hu-GWLhg$_gZ!Y^ds(O; znT>~?i^p&tO6y6_rjsfrc<1-h>vXE!rYx=kaY_-SHbYkMdRYCzW=wb2>Y$HAT9o0! z;1vB5^QLNmiEffbOw9PRMKnABxsSE0-|L6Vx36bTD=h`>@&!2&!~;mrzpv6?mM@5=Cop&?@0DK>~wfM4|n|s z+Z$_8+TT*KsZnw4j)P2}W@bSoxBVcMznSUDNBtob@kOs5yn2s$^m@-)I$^mx`u~yj zF5pc6|NlR!M5lLhC^?jnAtB_f1C`mxh8%LpNRA~eXXzw_!o-}4wiy${CT9r?MVZ4) zD2J9)&QlHjp3~>_{r|6Pm#eF*tIJ-8=kxJ=Jnr|~y(E#ZD?0fm*K3*Vb@yaYL-U5M z3$k553ZA%_j`mj!(|76suSa(!JA5W&poi-C1fGIhbEE{Bp-gYI+i$M1&RMHb?mvtg z3wG7AGfo#X*1wzH*p|b7SQqhHVD2r@41K&19#oj}Q#FkY!X!#u?^w``z9{tZ!bAz7 z0KVGnwX)=<-3$@9)>Z7(IhgLiGRfeA-YZ@C zE9;Ka4XyWy^%wlxHm0{2X&Lx%w8aye;#NL`s5!X6O{ya(H8_fz{9r)HkGTy?2i}D5 zL8W==$*6LI8woj!+^^F8mw6)VVuFG9*9P1A1OAL_+UcBV$_-y| z^H*5p`{OGEKW_0R6I97T*BsoN|2)@;SKJ()s0Ii{#5qYS2Eh9(Fi9SG)AV za~_!KQ4v%7^5n&b^h6*q1o}BJXF^=SS^4NTz+r_2d26lkcX|z=;i*8Nj9cnvQ+v=Ac{bGzgkHVTjz%792PC0H_Qz zfZl=$JfaLQ_bSUkd76-%I_x}A9NPA}VeE2mnA4nCO-Tm=Jh7~@v5nvO-@6qt;t<|~ zte8Lk3cRbw&d>d+ltSrC{&}dCmdpXpuX7^zmb#@kUt|@D_{av^7Ewd#sA$^NYSGh@ zI)05YYkF@C8P7D}y(b^zpfPX1S`ER>-+Bz4ho3K$=+Pw#mns(fNLstP=VKf`r$v-= zY}>ATBNjhfy~N=sPRPJe0`zp%2^o{rNTA$&L}ieX^a|AaM}O*=%Yy@izVbu`_oIZm zfPL~jNJNl^_yY}ppwK=er#CCX5c$IXToGB=ZlI#lVyrM{AnyUd)HgvU2n@5|<_px2f8^tM0|n8_{)hAu6K^QDc~=65wx$4a?0j^4?+Cv-thad678ZXOOr~H00U}Jr=9Rs?*b2aNw2UoivxLvJz9J7Bf$t1k z2R^EISNdR-pgTdk5V74RHl<0XNWJ>sHP?`h)eWPYSUvD{RY4l`zRhob%5UxPJg$Vt zF!<>FLjrGphs*IXp*ue3?W9X#Y3?QfMu+TJnor5VSbRC)XC9~g` zuREk5FR%BptYqkYZVB*DeZrIa2uOG8F1Net9qPc*184>xj}>bYce0y>Qfw3lQ)Na7 z!aZ(og-O*2y-En+8r-$n99n>X`ugx6;lw@`GC~ER@u_7F1-!ChT?Dtj>WIw>sK&#bFNt}h8 z#}r>q!DM&(yNdq)zFpMS_#D2$%7&fXMd9x!fV}v=e~a{=P;UNB?QHDnk`RW$EtPBF zR{Pr1RTNWMAs5r9;-<)ML`OrVn@l3tD$tnq!zJ}!qrv{@vY z0hCG`LPf>+>AO^!iRZ5#8hZbZnxW*x56R230t-*Mm%V!ZYV1wf7LspazpmzL#Y`ZXnwwPO($sbrvF@E59%Efm$)a*nqU&y*d-|#@n^zX`)!viJ8{~QDM}g z?KXnn1xtzPev)iKVuQhn!I+RX_szRH0zw<+b)xvff6C6M9phVPu0?D<=pimhNpmT? zKc!)#R|F;AoxKFpM7UU{sRL$%tD+rNC={K^FkAv>m?U|%px?Ttrmd+86wYy(gl{;r zUpo6!QiH+D4g|#S8h|hw>@9Y(&83~e_`9XxJ!%cbVbZ<0|!kgsszoB1;&3tRHGvgFcEQkI01#A-Ct#)bfge3d}6w#FvCS21;nr&Z4tXNcK z`)v-Q#gdQJiTwOf!soQ^^Q9SPR$qOy=7rWAc0Zd*{ zbGIj9A{VZ%qKVt^x!7Ad?m-Ud-u4Jgc;oVT?hw`aZJd~FBrWbmlle%zfRmxOBElpO zs@r}64+p24*P@ND?nv(1j?}b7MpOcnj2ZHk%{cJ@ZibGkiMtl!zAx?O6+>C1S`<^cE0xjhArn``%;?4r5thAX-9fRh(=QuXsQ$w8dP7O8c= zFTaz_r8;pR>iy#VDtEe^a=)O{+)wVUi*6B%C$AjvWm-t<;+TS0l+47Q#xwaNaxTn# zo{1YL-X{p^_6-A&;E@4_UnOWY;=O{H4_>*pT~g{3&3+}RSIOuJ5$uR;kj9Ue`zhoC z*DvVv;HMJMy4k7^9L03XG;hr=_(Hbi>^CW+zO^Tk1Zt>MEy^7cP9s0E6uh5>CqNSt z>WX}gFkXy+c7p@o4}&xX7hMf`vz0Z*tM<$CH-nsk)9O?GK-qS+GbMR_@|8h_4Z}uk z!%bM)+fnk|*2rn^WAQrSKp2URrg}AwGX}-Q zMC5C0{STRUb7ay;`iHJ%oB8-?ED&xzL8w|oU2H~N+nN~l=$YBTAL**}mjtSr04d(U zvS4wEp=tTmW5Q`hBCw%nB>@fx`qML`WpiwCZ^5*6md*lJ)v~b6NvvRtD&=PC#-3(G zK9gT>4>pJD$?S=E0?lW3p;l%79C%|-fK4)QZ3*4YeT!LVlXu@an%PK^=F8c*(U^fs zS=BrKWhlw~#Qdd$JV~`8wu4*!!nWT09alG4p$k;G&p+wi7~;ypC0PFytVA>AOM47| zQlBv!KPB9|(O)$WCQu0B$<*(Rp6|AZ=%bLH{%w@ku^YXOCZ(_B_9 zz_EjQHNX%i(gKU{*R121F~i5ICF$MwWBtPRT8`W6kXAEAvecpvnPqzwW<;fz&VKlv zf1kUgU)doQGX1i3^81GAfw>w_#Pl-X-h>+?Q#?j%Df>VDE^ZK9`w*aV#d&k;0rL2A z!T1x-8X$ff_esf6H21B(_BevKL5^o|%JE(0JYL0hBv)l-z zE}_@)FU`BY1!SThzu1y63kcS#?uH#@28e((x6GjTw(b6Xzb-vjpD3hNQbMAK+;G`@ zx=?IR#A8~@W<*;?wdN0OYCdimFB7$$T ze0|Zjy-|d4+qv@D9a@8=cD2+Bbj4Iw(KFXE^^Ppv2c+YRjp}n~Qa$j10cnynsg%k2DhG%*6JEqM_>KyH+h3aOuSe zc{5Fl_B4Za78YrjuKu!i3tCJpFSwiP>Z@*AK(Ey#AJ|VTH!j7W(i|$}43hiMuC(&8 z8p_VisX_=Lp@qh=p~xJJ1Ct5<Z453;`(&FX0mD2)1FZz}h(*@GVOh)wSE7xG+Y*$Ifkt??*m<^FWi~FS zdI%~R5;_g!D`o)I<1#AQ(x?)JX^QKzLtWkG>!Uxj0hpuP*+SZH#?`JYW=4`3Q zLrOEC;lT6H)>A3iENa&>(aFq3rqM1Gzy)q@WW`zdXF$`ZehwH(F-G_}I&(K1I#2)k z2@HjAf8MID$Gj`Q=;)yI%Xdm+g`a1$98fOf1p@nc->{a+*nbj^GcIi@rD}%!Jr#v~ zn&It_*!BABxki*4usWpL90mGsvwVRd{9QF_Xh!)Ex`2_KJI;; zWm33z2_L_d;i;!|+IlPVclu`=_dYP4%VB|D-qjb!TnTnX%UC%AKs}fDXxx;%phR<( zIidAKs|wn7p$$Y-0;eUQB%Q58;zctSADj9|sFDv2rm@~@WypZ8G}!CkElF@0cCr-K zwGs$D8}J#x-+-wn_zCdVAaEuqNK+P8^#zl74tC$Z>O)sZF#`1g!4JbSs{zye{`fIY zvb)`r?ySBpPJ5ia1E+U*udd|C#;|`wh@9AFImB&VNU&VT{O5SM`I{ggqer)4uAPfV zPy=Bbg)b4eeuuzBTbN`BG(OvpL^H@VY-MJzf(0Gnsc%@OoGElG)duFWsGXYUk;2H- zOe`NZ6PW3#`fkhccB8$MM;5D&H=PYn8awl;Z54G^D`*zE`WSi|+VjRmmGX1H`}6h? zg9}b#_-g}E^58)2brIVt)TEe$><$%ON~UOOeyA^#xN9J7Ky`A6qxWd(=A;Ga`~^I0 z{{B_KHyeHE2T!L2pI_*R8@rA6Dmz#E_}*wx3cPxK194)gsutWo-JLb_Pvzw0i%aRm z>3Eo)k%Opj{H?Bf>SEFsAS`nY3DJ3^34IGxEL^vIqg%Tb@~+J;rkbgMMZ^aplO2&M zF&p}a+R`RKgai8RK$8I~ zM1ZgXQMAAr!~*UMFy^&($_IR1Za~^rKZ^Yeo5ErNaga?j9yH@*^GgSu73Nm&@f3qT zf`<6lb=xNF3NoX$uYzb$U+35O%D7LRr&={_wrImV%Xf4${o(ITR1uX5QR3!Ifx3sg zoqrCRotbrz{Bj{`S8$(q_?vefPnTriEV)m@O8tl|c-gX#P`Jm^hO#Gd@ljVQ9*9zv z-}4=Yo$GIj2z;sl-`xqVR_VS_UwP5h#u>O|$iA-0H>6;n)QN50#Ig+EX^Q#2l-s&& ziKxDVK!bJWG!RV_x878?_A1$pJ7RJI_&78)MVvW4`*X<2TdNy|O7(WRHC zmpOz8GNiYMihj)9dsw%|fk~b}B6u+%WPGR5CT)Q)!A2~&IV?JIJFwn94~^Q^az^C! zoZxfk%vzPb$3_kT1i1cMU1PqVL9L-4D+$DlDe19dyKJkEYf`X55_|V&wp+D{W=c6J zVt^SGfVV(sRntj1pyy};lR2Om0FF=47QXkcJl4QqqxSv}WlPCJ9@HBhysDZ9&Gt<7 z+z9*J9%-~ye+Ax{Agx~;smlT!PP$2QlG-;@ z9D_>K+N=9Z)a*%T$}>fH#_68Puh_hv-hK$oy7>cis1y6G?wxis;sJT`CtBhf#<-ML zNh>AV3A(mlHaF;3-xHpgV1Uyc?7g)EJ);wmLu*?KS2TcL9R%5lofpKU#;l?Q-Ro|H z6QlgaS?x&=GI7RU3Mk0to@NN=E8d=6pv>@0Xe4C{)%=d(S%2H8%&ULm_@;I2nb5?- z%d~;rwuPzB7`W)siM+q%k>Ukck<1OT%G5CGpE4)L&Ub4gU85@MDs6gL1lbt*>x!C>M_CA!mdBzb-s4cf|apZL<{hq4HNvR1=q90$g?q zf&dV36-=~%iUQdN@6)OS;d@OKFhmE9KOk%YlVM~;N15{D7{dVNU_+v;Csbw8aB7oX z0(J#pQrK}x@M_}Gxs!DdVLeVji2w#VFV?t`kqsjw0oe*ksMQ_Q)2+}8-wmD!5&q|V zUd4^$5UW4*y+XdEi0{k3N=d)mtfj7KGi0W&{-Eqst<~hO^8gfz7_f3t>}~5pjRyT4 z0dgtGjsS#gumw7Jk&+D!?PT^x;t{>|r_AO*q+BIer;|4V^x9to{Rv?$no2|!%-NBP zyOI0TKsB<7LeHa5-uF#s_MifsRojIsDHZ1Jes}r)m`b83g_*Fwx=`MFe^Vblr1gg(9e;WHM{p(yC&OIGo0` zvZDo5aBzqeGD3h{fny^HtfdT2sXPI%2Pi46WBvtSiS*@_H;~Cj<5bW)0T!4e+?+Q< zYg!6@#9CpBG7-3TK3{F+y*EkIF6a;UGISOs5=1cQud0b}T~yN*Pq`4r1G0YF0lWtA z9Dx<(6Yw~=+i82iv4u}4tD+pzisOpDtGex$#m_n1*mgIKqU zL7FiMJ_~a4gfFDRwM;wE6v?n%?Nxr2@lGYTZHk%*hM98asP&5!UpWQ4m&T_HbG7`% z2UYqW!jloODYErXPhAjj0qQ|~8c4bD0gWK>GPZWsL%)fN;k^JW3;IC{f~g%7hXZxo zb5^{HHQbFTA5uTEJYW@zwHNX~^+b4Xlk3Xl+zK_6D}+X6Iwc6)EWX{ozG4uzK4aiv z!lmQ<`_qYQ-xTMgq1c!Ap)l-#XB*Q`IjHJgs!Pqsr|UYJnoOwfV4_F~=^l}CA|u!h zfOh;s>(M^0lg$jR_{T--I&6C+RSgkg<+@X1as&NTuJ4W`7}=+}a|P;c?cgZ^BkAsf z&lhM}MgjiCK+YrFlCwZ%k;Y!dn=MEHIUZ1dr;nPe6_xe$S-Y#Jj3SWlV2Mn(azVd7 zNUwdqt_`WhtBYWz_yDox?N`-DDE2mnNVQMAy0w^0{EBH(N;SWAFh@9oTLAv+qY}i< z)^H3|+#t;&Mo*@F@9A0&c{)aOJM>9B5e>anm|$CIJ$NllI3(3d3nS*>;`vmqdyLk4 z&Bh_LwkMTiazA+HCps+i3&?qRk?wvF_*a0U1N%X~ed5+XQRp`$+gYT`?W;%4X{^8v z+YvGN(yb`G;V)RMH(_YW&{YUirh%TbJ3|~5I$coXMVJWiSFDQxG4{4UV{i39zcS`t z3@_;$$vYY7Z0d;q-i%H@%#uAlFzsDDe8uLfhLXX-{Z8dVuh^7iipojSrtps#dS7H;2blA@x0hbGC@v!w2l1ioZ4g#M1C< z*9T}l`z*CH#rk5p&45So=&> zP-h@zxYD?72_$9EW(vz$NhcZ;4OV+9CQV*_(6{p{xu6_d6l7ABtT#by>QTT+Oy9TX zB?O((EN(*~MAh5O+H@_1X>J=N|BBV4a~Rv?w63))+hpm_-+uiED1Hhb^G;Ov-RfoA z3Oxs|8xx|!x#-wHTvla7Ur+gPE<1c#clrP^I8p9Zm;A)ce_s@k+;j7Aw+2QK4*x^t zyvMrcU}Yk;+7N>$c*44~Ap`sOCy_Ns(0-sG@NgFK(8AFAv&{Y6i)K-UC2C&@gATx1 zcOGI_%z6bm=jdJ!M3tUw;8=kj^@yXh@6DB;kT9Y;gUJ&E-0UaH;9zjo`X>;s`1Gmu z2joAQ(8_w4BOcGFJ7`8=qP_Gv6EPvUNN9^v2^cht7 z>BjkII!gIX0WJTtVw@{fVN!9f(di977TT^PLc;EOY)Z5n6V*GWRO91NZcH(!c|^du z05z^m@d*KdnZ40onc+rS6WK&q=KRa8Gpii#et1ptoI@9K(8^!eOnh)D@wgwRntw%? zsL{J{XxH|4OW|HqhBPn~*|x8JDKR!wggUkm+?8iVl@3?MwDW_QtyqdP+psjqiE`pU zYuDz|%d*BM+tIU;lNTdJ2ZyN{$(PB7&3H`LpwmeHb7V$yg&Y!d<=wl!dlmG>;vHbm zmNkcL_s#CKoqcEJ>=D}+(mjx4XYcOi_y)q=cfY9Eihklm*=>TtpMGu zc?l3uK!i33*2`zLa^lZgwG<>ii}N@x@a934E%eT+yE3`MBXfAOZ}+d)q$*YCAAs^q zXP=a_;a7Vof+zR>@XgeB@`?+Ernd^A$sX$iDrxz5pHTG6l{1-1$w?8Vljl^{-fj!~ z`F@ga6Z*j{hiO7Upd`XZ~3;5@^!6Z+WxF=UmJQzQR0=*aPQE9iCVz}zZ;LV+ODbY}p`L~?N5IJ7i} z32kPumVSSjC0*}f2ipGzVkNN5f@qw3mq4x>$E?b_q@UMC@d#1X6Ub=sURj8{o{A^6 zT4(fHG7O$Ew3+r8`Kz}5w2jhq8zuKZ;%3>$F8 zM^OiTg`+>6WB!6Rmfp#U_!xG16<7Mr1NIzHHJwl*(`zsj7KnoAZ*ijA8U_DRv-_Y+ zu}_rIeE5G}B}Gn7P83xLLWzQ>n$y zP{Wb(!It|(3|wu2mO4tRm?mv_M$M$&V8`4o1-=)c@f`30jREc~n#<#}_jD$`kL&#* zkwgo7Ni+}RM-yzy_gndYF83V< z>^hlUzIGcUsHddMf2e zbZR+1=&2#zb|11D3xW(uproh{#<2V4kyTCWz>WtlGPk+_!kgnrk$UpvqSg^&zgHTg zqF-BnqFA|i;o^`5xu1Qq&ZfF9!W{QxMIul-F*D8c%K@NlJB;wv6=xj(^L#X=EGO1Q z-ZTX6iWBmYN%ur54O!>>EAwIV$-B}H8uFdc;La3tn@-PaHF-`a-iU~5>3*msci{;0 zx(09*oUKkxHsz3FPtWotS@7aap|iPgMj84g-dOV!ZCsI1TQnaJH%O9`nf0GV6TMyb zlSvj{G^0&RBq*Ix!1H2aIg^oC64BGI>qlP3$Gx!~ndxE&=nb8VCRCNkH_1je)rc*U9*>#kGr1pdD0b~#$3P-%3VzE8IBjHX- zqSm_uS?{e%Zsc|pQ1fnPD%@5y)i+D-Jai%QT8qm}ede=LO1$l)e~?@#J`x#0j_6;2 z4gFE`$0pY{2CmzrxjjGZUd89MGqRI&Z|5W8qe@M4$d{ndh#c0{sfL`(yD~{=|Nkwa zCmKUaJgeV%Xic2jJ2WhB3eknguh>mM_Tz!%@12})W_LH+K;8n$x^`K(-wGe627fgb z=!HKO17w1}h$(wW``E&o&)sezy}fXosgtyGCWlr*vJB|Lf?fa+t$`*37-lH5-AWu_ z|Fr&gCkv_d<$!#}F~*YXAze|mHwO;AJwOhCMo=#zFzdbcdBT%C_~dSI9k^VdXoXC5 z%3WKrKiwm8jumDPsz99n0dq=d|S22>cGBXJso(mBu4 zcuNuKqc&Z+0*>tRzkmoXHVasEEQLXVh8=ypa?V}y)9=jC*&wevCw@m4B}#X#!R}plJ;@HJ}6r z(Ly0!)7^O6@x9XjyU&Q7^{sOs0w$O20F%2yINnjyM zAO96_qyV&I!3QXme@mNb7S3cnV^*MmX_2~re{rr}_i+psk6 zwHFbtQ9$nXdRXEpz*@yIImWcdbCb5EYkY%1x$(6=|B3mEC9U_rn~MYs@$Ga9UhR{x z8K-4yN=qD~*reTa<;ujcyjf5j87}7~4fz>JmMK2r1;T!Q%8*m@{EA!?X%i=t;J@C1 z%?Nvc3mKd~)WO;WOW2=6LF*&(p59HPRR}oZod;*N!14=FEBn0CL4&34p$(QfhHp*f z3>Y?dMkgb1Id#&-J(cvH=%MN?s?)5p>*7gymW+Jz|;l8y`VM>@z*xg%^}dgwwKKXx%H*XuFM@3re_>ZAuh)f zlzX>fH7vc{J$<5OdCuTlZ1yF|?Pg_{{~(wm+AT1SS}X5#p9))|nUoFE*`%`f=7;)G zNQS+?&;Ey6LE<%u=q#&3`zo*fx#atvk8P7LPtyyPCzeQto`_QzQHrV6asDUb@wRt0 z`fO&hMBya7te&c4StHbnZ5oxUoydcaJm%9Bm{!}X6_`b``X+sdM>gf(A%L5|^)n&v zDpnEOrh&OmCiaFqr=$SghR&>^mZqN8I*?X9g#~#zTQyJKJ*Ak>XaMIy770j+%Dn1& zz#ITPDPYF-5@O`hoummk9K4y|>D4%WLxSI4kkVU(i9hdI{jm>;n<=AHR_u{bb%7!f z0Hy6!tr^tyU2QqCG|0m@!X7^5B?A^ZVoSLzjU4f5iQ2D$IZR3Jff|Q7+md`d4#mF< zr4|J_gbdA6DE+5L;(^2c&-Le!S-{Q=x-qz|NjuTdfUCIvZ}GzCyd$pJ?HWnT9SR$m z{Dj6@sQn^Mo{O_} zk%3hu72oh86Wh~`d;CX#O`>h`ml&s9Q|_fY@tj2qfeVsQH7(aL8?J-6v7g*PCXu&MlkDI0*Hw1eZ#+{GA`?_oZAGJ_XyC29+BRslTvx z(}5@KCB!tgE1f~k>-F=-2@wjAOiQd+F+y+1j$nb@Qz-iwcN#U>n4aZ266lO~1W9sG z=|$Tau|Zgyt0bR8N9rx4*>+nWgl1YG1;JGL?1m$@*Qb6rqe#D%e}c>HuO*jnnbiui_I%9Ls+RGJ*%@^G4(W;PMvunwblXtN0^uk&ZMo!v!T^40gnW7vo z?*Jxdwz#po8J|eTJkZ|@e65oM;B+|k8MJ^DF@iw9V0+!nJp(ga(Xl4`^5>Y zQ^l>`xT>DB#u7&IZoVOWN+*inWyKiav)O*RL7BE7Qkguvo~p~vi*PVr4A8fm27av= z&Yk{eqdk3(vNiXRWh-Yhe@t)U4F3HFfDRszq#-O*QnUP=z+5fB%m1jag&6rrHQdMj zSNbCWr*A=#e3hz5={=Jp;eGd|IflS-e2;C)IMoQ*vGx1^qhQg2`w#*vLBrn@PA zlDAv2CmYn~avOS~jLWopvksG{M30hlFq_u9YTE7w zafg&T+(Wv%eSg1x7h|f8!GO!@)cf~ab*arEiX_HvOkGklz@91;Ycjov#0 zePe5Xb06`L!$s3UWVBgqi}zV=b6vy6SMO$4La&lSW|y%b83K<2fIxy55xh`Oj6W<% zfWqV@BBMDWp}hDg*1n(}?~Cg9drBN7tFbsX1xxmXL=SgYQtg?-Tw(x{q?%31jdNhT z1I#?z--Ln1UX-8eCyP}|2au`fs;hv^vV;G)jq=HC8aK_JUapC)k0!rkA_dC0)?op zG(ID9cI`?^3US+Gh5J6UmXWPmuDES?S`c@6*cXdaKXsG#Y7TEv!76Ce7 z6fbUuBR+{Q4(wbF`eW-rgv^#F7IOx=NWsX-0#57i7hUnC->K*t6MWG0$*8^nOaG$o zR5?B?KcewtoCUI=0))wcYEF3+1A51rK zTzghg-I^F5I*K<;OuJ0x7}dp6(ea?(TYfhvki(7!<%AA-$OTbK$ji#B9(e$~DbrDQDd{rDWtyjJsuF*dV)VcD z<}-Eh*n)jge3pfV*1>D{wdbTivWzX1fmI@T-CKwlRCV#}jj8b2FruuR&j@27DAVqi z9hue>2=RW){9UH@M$22bUh>qeQVI^NrNF(ixw2Z|%z$f2&J8stKJ78HWKw!dueXn+ zRjg_wYWli0eT5@5s3mvD#N4r(2jY!2`G<1k^W?w~j3}dzU34O9<={`OVj;U08f$w7L&)l`t zy6TluqgY#EUJ!>cr&S`$2GWYFJmrq>C%_IbGKEc|0W2*C7@N5MD8T#XN?A*;NPsZ) zFMVUj)eX@Sv#j_><{J|GlhQ&)EmkdtZkKP|e8M!}KLFt^0p$P6r~?-%AG`s_8T11# zsXXKUKV@YAMXee1!HR1TytFgD|8iHzCx32G`M*C^JwQiqZ7QCkRW51_jV%cweh8uC zFeWKsOTW{b{Jh1~u`z;XE_0(c%*zq)?FAgcBK*C@7_I1D*qxG>7TXPGMxv2U!8qpmX@xCko+-@GG%BQgeOkRv#MTDLrig>&CYRYD?se%mKI{F&R|3 zzFjic*uxdc3~H3tr1O7&F(84<1`;@Ym&Swhu4h}?jfOh$nyfbDkCSHNljL6~llGgn zOfBgXJC;;1&?9voI6^kNlkJ;l^#H@p7BGS$9M`jEzkAJNRkz^@!%OMx-`~qscC;*k zE;le%|7BK#B#<*XEHKgp)S4I0Xwo-Fu`synd#G=x(0u4_%?E9Z+sI+Y(uzi?pz}z9 zZ;X)EWV+f{o$0*-MDkT#jR(g=&MXXpW-GYZKsr>^`_YR6^3{Q16WBKKUfDoCL&O#U zrU;W(PSo2RtN-hH4eaKA!vIm zg_;-uO=NNor@<(+Sjzq|gXxVpH8beoQg4J6zG!^=Ke7dJXhT5QVWG7m{?q@hx^!jR z7wtVRE#BZRNHm_k1Ub^2i#jVOza1%KN)IGcf95#uHlP?J86~AN;P7A6w)0AZ8gGcn zm%S6GBEy}%>$dEOMf5$dn6y&j4-%x}FRVzQbei&%WfQ%Nk z<$8`PWlOjG?`yb|s64H-P)DoC4`Av(6+asz(nOW??Gm(!JkRTij8+u!-Q8{{(9=`Z zse3_18z(^DgljYqB+mHwh#oAlg(AD!(k>mg-*cE<%8>n0yVZM23Z7s``e5tadHx&W zzPDGV9m_4M&qzZR4ihL`l^y9Q^O+i^yHWn#Ana^u%I8hx?b%y%6sSW%iy6yodGrWa z%jD7{ui-MYrTn}@?CtjJMZ&JM+UO<0`70+c4CeL(C__5X3fT&}RR+k&&!;-dh}cY^ zFEd=U+kYoiA8u7Q_yh&%W*JTLZ(F%@Nr%zXnGVLR{@Y4txm23Z64X<<4~% zz_kE^D$scX4o-mkoWHWE>&e$NXZ70sXQ|Y2*5BLM%M-b)@!Z}jFblf!8@R)^gb~i| zS2|j}HQp3D^zdw_`CD_GRh#}*O{K5csS<;d^sVu24w)M-*N_KE@p{BZ`5Kh7DYiO= zwC=4_B-v|Fn?YSXEWJ$sG-zGKZ{wxMM}IK$XdNzZvo_$bdHxjdg`_>gr3LMB?bhsD zwNvkH5A>aTPEKCAlJxYqq+IQZkm6t1rYKNL37@=^u@e5DqEJQl&(<&JdGun2fCoio zCn#wl?WC+cs~568#8F~Q98$yqyvMR~(UUDtUDcl$d8=!(vyva7Kgm+tSm|!EYNjOQ zM8?aWb%0+2*ZF+Ddxj7=_Fa=YdQ$_(^pwwbc2Z<0qB zU;5)i^p9Xvx~V(_soC5ZBhX6#vbHO?*CYOO8^B5rCRIhQLh-GgN7EGGI0+P>FRwU?d59;`ju6`-arn@s&yYk^L=NUrR{sS9 zX>*E46QG$w_N57R>Q|;e$&x!11Y2P;d-5=CkgM2a{O?CABTg2Bw;h@qrQZI~Gb`wV zQaV#`WE3+saOyQ#_Pc&;Q51>ipC3cl%5~(v4!m+a+|J#MvhI28a=DbPFN)LO;n7x}c`RUd!0Fdaz@WTH~14vLSuFvkLM^Wd<8{c0CyjSq~^_~r`KVUot<5jI*fN9y= zE}Jyq-+Xd+LTlz&SIh8;nIfnB^z=kWI)lTue<|w;^Bd%}Ihoa|s7DERiYiN{WnhdcZRZYW zySRtNw_k}c0(rD@IbGb12#NE+T@|P!$*nU=~#sHG>arVDKp8m zl@2ighGB|*i;L>%IzzjZK8}9LywkC)@BL)q7JhiZN^KsV9w-6?wE%&qS7mh8{#=ys5Cg2^!(UfpI#zD`0bn*Fp*wXn zwyW{g;mk_GT0F9NM{hrxxva0S=F@HM9Y4j=dU3$41MdV{Jl97wi#^Tu%}0b8D$e`d z0--^JIXfqE`tDCqu401#Ne7DoeP7Vd^ythI7)|ArIuWH}#tP(wm$O{^qlq?{8T77@ zJwAGJCMe?j^jdhrGq!i1A$BTZ=om3_Ae37EQZc1o?T9x=YJc8RGJyyd^duh9x}*#Z zsXZ}Vs@+QHkq`i{0}75j_0OA+Y=DQ=_Q<)S=%`=KZPWe&!P6<7uM%z#>6>Ev;(oF& zkL(Vooq!wu!Of*#?7Q*D{ma$45$6%G~Y!FxWZj*svdp!0N7Yb;B=D=ALQ!b z*S~&meN!2scJuJgGhl&}wtR_0+^Bw+1b^Hr>I#MTehYxr`ZqAbm?s=!=zeZHhi^i_}823sS@*Vpe-%|rUx+AE=;sc&NG0#aeX<>BtWpUa!l5!TaW z=7#4X^ghKQEqQYkapXYgag?Wr-g&fh-JDOZ>s^iWFc<<03P*#pKqa$OJ>X9bI=51u z`VV|1e(t!Ux%Kbq6;MhkV4%o0I&dm?_Wym6QC8bGR`%Z+iTGMo>Cakelr}V4|Mm99 zCbQXw|7S-R-;e6;09ShK&q?F<{Ekzmqul-Z^3b1fsVzZ?0c~on<9mzOeHLT-pGCC1 zksc%7*jmr7ywh7ew5mdw+sUtP;JhDy<@-hFLC-<5G31Gp?6EX07~H$>rSv}*p7v)1 zW*o08qV^{h3Cxw8NZ(_?OuSeF>vojz_VkY~Facpu9n z%12ewo9kkJ=J=G1P^ON)W`pIcd*+m&AqGarw_PRlbWPRFrevoXovAAMgZ^8AMURwS#@Tn5bVgY%WSyVqLm zlqEu_pToBNtScFaSf3xfb0T8f&E7g-HxX_y;+}%(d2P`1P+bvw#RslU@1Z16hk}MW zNOTy7!Jb31oN`z?Jojg{AEZZos^@zY*Tkss9UQTnyexH2PO8f+DFfs>6B%43QW8M? za_QV>F}6U13Fcz}q!d~XnAV{FsXzfJ5WegcQC_4NmT0P9_f3&SdfYedgRIsyBx)2o zUVl86UuKn3tGHD0txymuA5?6d;CthN`;<8C2TC5Tx!Zd}vqQXDs7*gg(qY&r^%eC- z`P3_X>+tXx+rxms*wAGYBQ^__s^zxn#v2jG=c_$n0937 z@AYe9Kc`0c{HoV){tkM@ExLBd#C4yiCqwobyWV|zN!jZb!UTmwWF$XVys5yqq)!Xh zKcD7)Wc|Wqfy~Fgw^pvmhLEgu)pDVZc4fyb(+3kbwX=lsY_P=pHVYkNdt%-mhJhDG z5!0TkF|nY%8$?XrUnRZnSt^&&!1z_5u9c{zl!YdskZ*hk_}ja|jJmT;{;JL^*tgbK zDSgb|NIQsl*n6lp&G-l>FUWg^xoBvU;q{zmOE zXH(tPIbi~FQ3k|#6IAA#0Sxt2ch4W6&6#57Z?!MCohnw>QG{rV4UaEZ&tsitMx^%` zW0}TscZiJt7kW&%W^OYcM|E^n|K-4H=q@g zG@sGW$AE8JT7$HDQ zRKnk7*BbKH}JCSWeA`MX!Xcsx1^O(lRSRzDMv){(Kz*UDq< zi>b#Bc93l#4#L|2jL}jUiGuTHR$r5q`#ytaXR&bmQQZh5l%9=KkutY=)ZOExB!VN0 zza%#oB%%}}+Umd8`M3x8z-E3GX;`Zj-g2N9fZ>)sx>3kXxqRj>K4fJBf`NYByJO~1 zl3EgD?jq@ip~>cqMa6mh!TENUxm2Su*2zD26R<_|?*=41vwE-9pnQJdI(Sy4;b?Ea zOeQ7;|r zrm}k&_HIwtiUj3+fyiy1JXSu7L|-X>*DEXMUXqxL$ytL8tXwmxUI z8jrF0Xi^*aR7J@wqgEDO3o#42TEqxkvzxp)7&X+H^Oh75s6P|Y)KaCeY|I~jMka=%Ts`nFd?pO=;J`kC<#eocxx$nzDE%@c)oCzkDYw?{15(&@5 zZ#XswqENYi|LdglY&Gp)8xCCRl$&jGHD=!Qe4n* z#|o)p)9G$?Vwk#Ly8CUj)!8I)lSsB$)sGy50QeGP3AhZh9Vc-DE%}!U0 z0xy)nL`V~oUiZ6(l)HJO12zbWCeB9_yvk~%Y{)IY^#kvCZC>c&YxGdJO zd@fM&E%f*^o?G^(ry(Je9)ucNcdViX>l%V>rci{F5eCN|juWU05W$1_R`HNZ+OlNQZ87z70oOzU zLe)|@srK7kMqim+XhUj;JAmmv@U|7+1}yfWb;CVBCqt&lGY0M{rQ~s6#fZ(8TIZWf zQoPRW3ysg#)aHj8ZtjE9%f~@nW9|CFWEVJTrMSiZT{uGSAhvA$D8F+#;@fai{kPj- zuV9&-#EL*ztK@b+(?j=~A7!QTan@N#9o zI|fQgv}B5~c`DYXenCP(7IN7d?e)QOHbv4*FH!N8)#4(>yyaV1Dj9nxOHK$?rrb*E zxe9Cax7XfAm3Ip1RD{n4D2M2rF!ka*5l7b48Jx;2NSw_d6IHUjIw!qB+G#vsTwdJf z#mQUMC^>}-taHjuexKU4WW1{Hx>~zgD)Cu7%n__bJq)fbfWW<8 z;DImei@Wn438UTN>kpGfH|RNQRJ%h@NEhf@yPgJw8O4><+v zaj%0r>P{`|KI?Gb#CYrmKfy@hrZecV2vKz-vCFt!tOeWr9`;b$%Tjm2U~^EYffo&& z3c)O|YtBJ2TGuRYkmL4r+X&cPQvqH75bqk~j#)3CPUo*{yIibt^dr9$KxRihVAqGZ z>i?2{(S6{%#|FP0&0mz(V4>aV^mF}10q>u$QM?W76mSvOEyZyUAUyiByBnpW1c0A) z@taN|SfSxME0+lod|?le(7apH?c#A~`v{M5KV1h!)09gpj2~#Ta6YeThjm7&1fIwU<4NC2L_YBPL`Sd%|SNWNR?C zY-8W|vHaiZ`}?2o_qygd*QIlH=KZ|y=Y8(ye(vXfZs0!yVRn8Doo=+Jy1x!1`9#-U z(j!}^uIowZyKr4wHH~O%Tr7}0vT35>ur9_7wV+%rW(;+nx{ z4U?=Eq{+3siOE$CHocQm6?VJ_;H}D_6adCA;)>gFl=kH-tyA~8ik_6Of5}gw49`jN zY6at;!ZBVELZttkE9l`U!lTiX^XbKVsR0xHXqSL4q1P(O8s;NI`29!MRszKS2C5VO z0a-lN?Yn5;?I&eW`HD01joX>i&Fjfn>fym?>VYul>B_YiSk>Q^kr`m_6x+~?P-=Wu z2wvfN-$XaS&ZWV)=Zc*=Cm*$k#LvT>D=4gi7*O&r96KaPTiUqxt@W!$ebSh$ybgg* z$2m)iWwmD%nq)TKORCR-lg(vt8dDy>hL3?xKUY`as@RLAssS|ZTxB#E zU3;yjfUs4RH0^G94_@14j9xlN`8(Jifp6`vgDh=c5P~82>t5j@OP}ZAfAH{D4_k@BX}1S>zMPJ>`&o@SW+HyksFz{)abo*@)j8zGDC)k=ZI}kS~9E z|8A0y*<9t=J^Ej!h*5KQ@B3pAI6Y$)7?g5AKLD$M2B5NsU7I|Zg>~m& z=dEGEYq^jZub<0Si1-J@Hr+t)+B_9|t zhiy4!@J6ZS+b@#7W6U}EYfXPA2bEEQ@x{YGEKNnrK`>fRY3U3yQgP;?j|Owp_0Y~z zKt*lSmX;C?*f#6NXN<(aT=uq$)p)f@LcUEuBzS*Z%CLmLk^93w{adbc*__r0t7APC3jC3r-oP$Z>E46>6 zJXS;;TgPV9+tELB2h^7k3y3M+PZj%FR!2Tww$|m3ScGU>y{LxCl3-d+ceQleLhERqHJ&~KL{Ks$h7*b6sb?p7PXZjT+6y+8et#iRm_hbgjbk(W9 zV-2_8Aattx-s|ad9A>)z>vntINQZlnQHeFRHidIO!ymtU zjx9Xk+82NK#hnuQ4Z-wq>!(?Le+$nHwk+N#3K;|1XHl+fVB*u}w*SF$W@~kQ>-Nf= zW&tTa1DMaVwY`v6K&U7lFwWcFp=fK19JC|v`C;XJsUY*;dY$Tf%L3sxrn3~L1gOd_m-NdN9Vc0Lgv?tFY|lPT zSz2-DXFS&-j41p7s?>WSIz2cK_}gfmnSz1M(j^boly86s9RgO*6lJS74)>fq7PqgP zYq0yyxb7kO{rW@Aocrk#Tn-bfOEm9)Fsi{48W z7*L;b_fAkc7kbO?n?MlU`m=7-3vYq=^iCvU#Q5;B^LiVzE8ajQc%yd0U)ARG8%Ftp zx$$R8kEPbwE2ht)O>qdD!OdXI-bUd_3vmb{?we)W1U9#HJ|DXPq;BwC{5BS!-+t zK5FxSqN=TF0v0q@4529B7r!((Uf;h~uya3yoj2udG|NUx3A^>;$=v5|(>BoQz1Ph7 z`Nuf6U>zyYY0SP9-*!LWc*?Ek)u^Nn@07&onG~@!W25@82+$t)Dw|z3!Q?Bo$aYJ) zNe-y0IU}ERV%ZHOlEkJ&$Hb!>Quc`ITvb#AGw6Wnz|By2LcFmKAJfZ(lNR(7TX772 z*i-^L)8PY~%s-}f2!a9+{@vXWP5ZnTy?BfzwKXp+#=aZ)=@M3I={z?Mes_w^sk%jo-B0EMjsWwq;g%;I<>;>59_U zuwdF+?n?6-bLZs2mwUkXIvdp{#UPhG8*wna>jovLrUFHO<)Uoj0>shG`_9c!v~K6w z*+H)P`R*b=%RUI$@~Vk@+tB&Vqvz|S?XK0z^MEPpo`4ySfW)PM$aJwURnu*e>()aU z%QpF#{ftxOK%~<(TfNS@^o&(6XTB+Q+5p5QZ65xu9w!JTlYiXhHixwXJ9>O{Gw`Ub z_qZF6=?@DFQ`Aa{>EG9N!uj^?+gU_Mq@H2oVi#GtTUgJ7xds!Rv>Fpqea0900Y5J* z)wI#Z`9!*(8#?_o^etUmwts4cWz6L38v;flfD+uF$0Zl?5%2fSCA-aJThKf#n#IDz zc8=9@D=-o!OtvX()}LW1$6)=AWR2Zh_PYpVh-|&@8GbfTxjp(K)eBqj@cPr>cN`Jl z73PPg`=|(x^}vC>J5^Q8*$P+xqn^x8iXdHaRuUF%T_cpSct`rc86Q#N<z*&_9VZN>L>$3`}2WE>w>g$GSO!67X;)%lMD zD&}=m6jz5wXhFdhAaH27AGw)w%d1BbxWs%#2U@8;z>OH5#`uehZqyk|Gr~}Mkm%SZ z;h@wzqwD0#FAF^wWH`;=-Tf6#APr`YfTmcM;MzCsc9a>6~{JJvD# zK!4df2Zu$afm_qpsfGrfNW6o2MtYv~-g-B;lb2H``dT01BD4NJfWJS`?tFs=TMw(N zHsCZ3QrI(%6~R3kOSjc$N-jQ~Md{jCHPhc^i0Y*YHAmYz$+;wy)3sebqw&M!{kAR| zcqzMtYehj86%Tg!dFzLKWzRLV`C5Bf!^x^K8K*zo!<(g54=(^gf24nJScSeAKX&ax zi<70C2i?!f=M84ASSg&~)iPK-u-Z6$G?jpu>JMCmxc(|Ld zZ(_Q_`(4Vb74IZYVE^?o*9qqkn1NCpvraiCaGM!i@8n={y1G79KmPjf{#dlc@ky8@+-}b)2i2Os+e9L|7?94=-=XB z7?T*BIpW(!J@#}GrE>ac|2fh20(qYrJsoeWlQvu#;?Imbj1keCFX)_~=>1fkt7=t2 zmx8{U)oiJclb=TKPIWD-`Pn)YK=c(hV!49cUO%ZEm~d~KQ|2gNt+RhlBpPWngMX)r z-bHlY(luUoOgQ#S8|*sR2hYJuUQfK3N&*#tbC<%bp$@L-6p{^mO#lcF6i4u!S6>(+k1atYD1^;`sC@B7SSyyaDMngrj7>YyS#~dK>?-4{~EzVWNa* z2GN-Bo}mm{^u%9h{?j3c^{1vkaCuJhYfx*#QGsd#94TQv;2e8vL)8*`x7X3uVkZrZ zcOcwXSD!htH8=Psow$P%*?o$O;5gO@Z; zAI)bPYRP#u?w42_wgLydG#B2j6cxq&f;*~dRIWi|^@xK-9!wJ}X=R`iIBoud zbcECJ4aOINz%S&>NchCXIFJ{tX5s^OnsHO0>;vTe;3pWH(a>-hgcJb9beWUb+Vlzg zylQt9*iyrkQ~bf;x{IMwYe(ytq|wz)$tkRlhe!0R0;Qfjs$M$CJ$C`RiQT;ukx;zR zD{nQTh9MJXYkK3M29*7Zu3;sB>Tt25Af46e^l|ten*1@~SyAe`Wgbof ziilH9v$xX>Rn!m2yq2*%Ir2)H`NC+&t7H6l7F(EgL1KW%Iu$a#|susmGnz$O9l&U8t#K2vWtnLTKImh~k?KNGqCDBkfGAG=F8t%UUZte*`UGBjB)Q9YC+$vMo zN39n6iC;Q5ev{vkda{k-*$Z=KDH5#E8MpQ)g~_b8-Ml2VyRal7=%>Vb5?<9?&?>gA z-YRyhb7KL!e7lnKbK7SIXH1`J&?-b=#rQ!CenK3ENF>Vt#A_A{%cq6(n!1l!?47>p zlBj(0bQB(~)83o6!YERYUg%m-aZe`4onU;B$fnq&_dHx0AOELm6oYJ)mKLaud_4Go zYM5L`pK%c~9p1vIuWLs%nf4v84qb*o=eiH!+HisT6)rYDdSxyNSQ|dxX8Tke$@%2< zZ&{Is)Xbc{U5(GGh6ips^Rz1Ft|u~#@SFZyly`CcVI*$@Pb;1u^dbe;lDglDa1EyH z78n^K5y_C1XLOEe894RRTHqE z24WMPj4|)mi*e-#GwuQAjnL&eyMFb{%$Zg{WNO^pl-lrib9CG7jojhi0VDTPEO~}} zZ><+ZW&Gb#K%nPN)PEkZ5Ie^(TN60abT}$4Ev-VgA1mCTYpGm3TLtxE<{dSbU42t!fy z1;0iOzs~&*^ol^?X>S>Ym4@H@3{up!ftA#_HAo_5`H#cHO?kfcl(`pL*a4#{NvM^T z)jgFYdzGY&1IfmB>o;iWxjXtK!i;(Nn$3Z$lvAT}jOdH88cSY(%5e@K{7FxAd#G7gPOo z0$9C(4IoGcs0xUD(j^n~Q;_%P+5kr3K5#1d0Dz%2a$&+Pe%z%C>R$^(yPoV0@jou> zz39B~q1An|$S?HYZ>xT27MR(Ftm7M$c*KQr`*Vah8x=3$pq!IM^jcJyBDu(kE}B<# z7;dedWIv;*wLq+itb(^@*~;4K+NbCN&p}%k>7i{Dv+Y2{G9&I|bA&`Dji(PwjSbTf z;Z-&$AbK~aKvWq=HR9?WF?M4z#jKZ_QEdQIm`UbWZ{9^-wKH4R{&ETVYy z$dx~2^elb$dCToYn$lA+1QTU+2ACJzLLj=+Q7(GkHs^xXpStn=eHZ>-ca)Z-bi%4a zM+XvTRsEAYE5_fI%U$+BPf?OfRnC^L;A;0(5xKQ)7t0|J`c7F(=IE%n0i830Zd6>R zHIX|)O1|B+jz}G==d?v?m{cgLJ)J%6#*a2KV2sYsp8&`ttyNT~9bkCi@&)oF^gp&O z9@aFSNPxoX>?7`@+T{sP#fpauoy%r>3k2#2Hcw~G*}k+EJ!@MA^E;&C3Z*_}YZlGS zNneHh_d8RcU(9FL`q-?IKY&zoMYnyu05Z62wH6_dSXI;4ht%cGTnsYVR=07&!O5I6W-UJ#&}A8l zfB2gQ>GjDz0V!HT(r!e0Apqpcsq&p@(bF6p9IgLJB6($O?x_k4GY59nL4bVo{ZG9* zto>d^r8GsRi4#og0QP49I`a{JdhV=Oh80U)phLFEYP)VP2&O?xarQsA_q}O>Cf>%+ z2nu76Vfj0iJFEX*rbu<3r;!=ps($tiDwXbN$n`i}lyMq{rBv)2tvc|;evTG?Af)_R;EPk$0xYCEgYsIpy| zLjkPDJT20oN=I^7w$CmvdB_2s;Aet?^gBVQ^Oz^3FM(KhVd+J=J(u9Z3!I%FX3=^r1aLqyheT3xsroVgxjFp*%M zIrgMa!B|@wy(KCtMK+>wt^cYH`rjQ{GAoIa$0vUJN|-teK(sI{o2a|ZFIFI$_qEoh zDP!fx^`5W+xc_M5TWnxs8GDj-jd7qRicY52jwpJS&6#0oRZar-PS1)q(0uJhZD4~i zgbpjRr*s`3Nyq2)*ccJ?O&=@(p@E1RTm7$e+Y z?)4H}J{;{EzLkdFEf3|ca-gx?twx)kdXQqEw@Oy?c>_F-{ydJ`B<7lAfBk`575#}f z!%onOWEuX&(A59lQNAv{+4AW42RC!?#urK5N}n+D3qL|*n|ozuRd;PwUf3|dB0R45 zDo^Q*XPJMo>&6cA2T_!tuDi3sj0@^R+!8$CU{&p8T2mx-I3X%S{PvpI^Kiy}-6e3K zYQlHM!y%|fWD5hU2jOaFV9UK%*a6ZY*;d_Zmltiq+?>xBu4AVA6|0#pxIROwtE<|vAi^NaYGTxrq^RX&@jQIaX34u%C9RYtM+uaxkU5a6^ z*74*0E3%^!zof_I)#7}9;>W-0DL?I9(@C9$+f+)m7E5`R8YnZ-wT{xGSz^{7{hp^N zCHswOQ;38=y-u?|7{<@T-HGx)XAHpmtdewG-@pKzq9E3xVr|Lsw@S*&-!SA_j)3)> zAgclZI92rVlP7P8#LFqvC`knB$HOvM%|MZ}n$6UoKX#mH|GA{`c7V9h1qoFkz{~lP z?R$+E{KwV8*5r#gyA;)n+6UJ*6DJ1pZQi;({GZcC=0&kPL-v!|IG71WtPxhfM+lXX zW|c>K^%55qVuR>0sqlzm*TX*i$b^!g=dz_{2y#vX%cxlk%nLJyi{<9shQo8ctFqmM zVQPg-*}*;y5eU{uHSEUPpBMTvHs#gfTR*}F!MZ#bhO~Qjwzl|XY%6Q;%YAE#l>vuL zT1Mt-k7ljxWU7&yv`c&Z`7mn-B)EkD)eRB?z@;o~ZLnt415jy|Brb+wV*P=Fp{78(#L%g+t!3{D%b$M}kOFRC>)aA!yi?k+*%sitFS0|c-hy=ER+tW z+@%w1L)IjA_B)IT{`qbZMShHL|M!JMWXCRGMNsS`O%=e+rk+}suBSf) zddv-Dz{us_i|D=pTiG*slLWTL=voSPtY|$P@G_kkJu z*xj|Jz>Z!sWSjfI!i2;cI?4~NdFqkvWARviL{ELAJR}M)Ntt_62HtI*fu|}-9cjzp zUEt;AMMZD)$|@Y=!~5uc9m^dp60@nOSF)YvVz+`CNqN{x$Lg$O5s#Q#fN%6Cu znUyp+)Bsxlo>FMc2bmcQt4?{RIjhD(Oypk^NX!;neYt*!U2`pJdZ5%Ir|k-f>C7y1 zf;KpYcg1nKL?wF*RERhWf1&pNdpzn@PXX{<_^Jff>pWGMb+-$QaN-M8+Ey#Jt8q{G zioQ0dcsQPZb?P>VpP?F1{CGOmOanX1a;b z^W~-Qo~pvEeUY+j#8Q}4ry!J*z*9Q^Lixg(AjY7^`El7HtI0WJs(kT`I`um``KCYB zWRF|(|D4PSAM<~7QCtYw2Hv_bNOuos#wH#=!2G8@F@0DOoj;{$pNF<_Nhoa!m0fKQ zq0u2I1+foNWM-ld-D_AGJ3;YlefU!CF)%L@|E8g&bZ2y;hZ>XJ44Rcf{ZrT!S3_yB z(8^mkvQaEkO1Gn7uSa+DlC<>m>t)BOXw=;u={4tDUIZF@c~pa{Nn&^r4g7HuhdXIkl)6{QK9!4BkR#zczPu+@iL+n2mOtX`b;+h6#{x=^3#Z@GIUL` zRA)SNy54PCH>7BV&?{Uw`nT1AhvQUd3Tz5|^;QKV(3|5*E5F?!&RCBegT@6}3*Q|J;6QZrP7nP^G$ zYznmu=Vch0-W+%O&geMZzh)~f?Q0W1lFyHRIADf$;1h?lsVBbz8@--M$l4|6V z-%=P<)maQ#Z=yr#iOay$N?RNV{Qz|VK2SH_1o3(l!;0GgaJlxeNB|=$TGMFvpz*0C zfsy+%whGZX^l{C*iMHEAvO_!Q29s@@-DKL-%A5O&|DFr4>0TeN%2WxrVqsN8%q>Ei zFwKx#oXpAeGfHwROYCUI-=Z6((7QxJOVIrEdJ4H|rU2bPG>1hx)EMC(<%Xy=8f_2F z4H4IRWPr*q4HYk>NbcfI*#pKo-}Z3!R!`!Z<%6z!_yid?w*7VI1qPS6qCakIV6aq% zX@v%e#Xgy|?6n}|uZ{=$_EQx`Cy8^n%}axe+%dDRm->BL6qwYr|89Zrao=C*C_P6^ zM4Tw@D=igrywLQ%Wm^=+*^*kP*t6fTJO<6_94m=P)#?|vM{?d}hy+PTx2WWn+%>es z7*p|b#?0U+D(8U1I)De@15B)OllP6TK;9{sH*#Nmtpraf=sxOU4P3cFEvwtPD1yC{ zbN%JZmqLmgy4^nprfTl$;TNr7?LvV*pjzc$mBN_;8udXe2PvbHnp)qTZ;NqkMm}u0 zE>%|2aFrNjhHB{AWp$3yah?O{%yu1Gg+*=RVE}e-3 z)@^Rk?z6AWr31T6&h|sJvDtO--g5#1_LomP-+{+;+%`YUd%A7OaGdCz{>VB0;L-+v z(RN(_Y7-_UQaM~@nBQ?)D|%^V7nzoX#)vthl^Hh0^J)5Wdn{9KNP z#IZ>4_|G92QGozKH*ZTjBD3%?JWN?6@Dh4-$88|arWbMtQ8eL%`y^f!=V`2?0_F$L zJc*JFoiIr~az!?p;D-{EZOR8|@CE`Ar=K~o-K&r#sRjakl!yTsbg=N3O{{Pa0}wc0 z5}yB+NEFihur*SSnnVZ_GDOo(gsr`#(dB>Ed)cQTDvB3206qX)2auRpj+eW;J9ze# zATgw$K$mH>hSMVVb=~CpZO^_1??UV6t0^E^Q5FdMIM2dBYU zb>&L2NbXY%TQBpA%3wNI!CHz!AJV&?L_pD#lk>8HaZ%~yx;WAEY4W2?J?x@iOm((r z@FEPJ&Ydo9u%YfSW}kPb#?bQexEb~ZaQ4rTAM5M{rLB6$LQV4+(IESqaTwLj-f`1} z@eJP%C${(LqV0L0{K+jry3)_^3|~H5n8Vf@!yO+Is^+xeH@)vOEx{*dx!1STM-ce` zxWm3pD%me~>iq8x`MyuiVE&59EuX2B4cyF&a>?6&EzHjJtYR@tDCSo7bU3jBh(6#6m9CB(! zB~V{FOG}n8WXvm-ssvg(<&4@B4B6yH&o+-i>z@M8L|4O0R<8eLyFgZQVY;bYYM&4Pd^N$DIcQ^KR!7(Jh=pl z@&*hc;%fZ<{%CKwzoUTxEDmD>=1FixZxSn15b>jxqVpIv{j^8v&7ILx*rBI#9|l2K ziE7vn$REW7wB$T@6h85ilqJnrl-j^Ebu9_l`P_(1)595U6-6)1Ep64}E^Es(KINdF zslzwR$G7H7?Y-2g4Zqo)od6SQ6ks7$OzpcAgjR>DKH)A+(r4V_>>T>9nI! zjYTsGp=SmLZt1la;0D(e-s76XO6^6*fCT=${lj+68L%a?f1}rg5)*E>A#2)wSX`A zXsAz|QWmpA$YV9aqU2&4jKXeE&W(;0J=A7E*Mi%O!#|oERJOxUeU$ZmLBVsT+o}uxN zt#eHH#GnvoF+F8o?t-2I;{#tIo*P6gH#3wo?4_U8@Tx^_l|_z)r7YW>wG7E7Tu|qN zp}Gc0F9AK5nVAW$wh86o4F%=TwD-`HPBltzgF4qg|9k4{RZY}OOTpr0(Hu3U}-3o=s;A@I0T28%!?=sj&01QkP*Bx1og(2^mjU)JKyUo;#j1 zWNw*(0TEf3f3M!9)1F_{V2Ht51@z(%J|?HIF4^(6hP-fkG5N?@H02m;v@s_PE~PpIB~$9%a} z;l3CxUe6}VDX~XxD9iLD7Vwcs|KtEKW$Rl5Uw%$8+juz1rYiYp5 zn!?UHWwT}2tSC=EDFeL60l=>Twk&2W+Q9dhg_)K;*Q6Yx)73k0i<^{p?$y5t zp&1FN3VDbuwpYO~Cd!DMKAs!7TVkzWQ)JzgyM`Rl6$oDptby^0rdF4gmg?>WLxTQ{ zkB{F16}sRc;SJx;bfGGDD@kmMe&!<UH6*H-=+bI3P$NUej(3;!ic$ex?J(zQCh6#ws@BGq}-J=>NmUlCTD z(x2_`&*?vBy4Hdp$KdM>A8VWcm_x`-FjX>2bFYT+ypGIJ5gcDzL< zrUrXFrb)PRdzFq8a(IFH4-{YGPI+mSkE2`wgbjG9s3{s005pvF*n%kel7JWh^&>Ez zXR;LdnqJ)`5#^il*FAh?34A_D^>r0@r286>3;pxt;lzB?2^K(^dE$n_VA9rd`iDiy zuW4V2jI{(TrrT^l2#8%&5HlGGTtcf==eOQ}&z?RQa1 zn(@z2IQ}HH`-$E;kppn6Z|V>TqGw{ou&r(|N*Br=R#QY#+l8MnT)rkq(yRD{J`LVfJCY(z-~O8Q9^$H)cJ&(FulG^*kMjM-y@K zqZAo-FuWw8v4JIQneay-096C9D)?v{rnfy|*QvzVW!Bl}Mc9BBW!zl_eD4bCrVrLV|&T;8ON z5u>6fDn$M5Idovnb;#+n(A;I^s~Mhp(P?BEb{Isca5`S1zo6DvJta*N%B`Ijp$M#Y zV=R|?^`3{_N)zhF*vCfVf{*0+v2n$gO9%Y|iYSz)dCY{5^rKo+SWZ30H<~KWg-ngD z5(F36(SzXjg4F;o5!dDYon*U4V+T~Zsp=EG-;*!Q7Q7n!rmW6dFic4iw%l!c(L{N? z5dKvdBa~Xk8BPjzcFUD_qeFJEOMr@f{{7$JF(!+VXag1 zCXFN}K`B^xRz;uZG01Yk^$GNwgz`@5bvUD447@^s z|K!BM+S6&Q3SsZP%Xb(mK=F0B9wfGW`1!mwiK>U3z_eBqHxw~&6;=>&xfApS9V{s= z)g;mAo)7F(?pjxi#yl6~=ND>i+Aqy}-JTOG_W>l-!k?OfRe+jd z-D%L8FR;u1SwH~yCin2E%>N?K>0YSUPElpLp?&?@nsBT*V&i*doN@!%mEA?qt|z7> zxW*7KrhNuKv9KTu7<_$weWUQkzdFx%Hl*SUlI9p&?z%Vfqnfw!ZZj}sEs!XRHAh87 zeSLRgAY9CVr}7oef?GTCrKCrAAWZkBRNrqzuh^))Sb6S#gTw!nTUv>^KsT-eh_)Bb zyEjcVNk8*yJz-|AQhnUfP9GYidzfkQTYpdXnuZ9pI~-SolRDwK4L~i*cKhufp1kQl zM88KHPd^4L=g_A3qS+U87reI)_bYD{nl7ENp;?ui%ITA+9rJ zg~w9_bgS~r@iXrG6{P6p{k%_TM7T8hfD`yNLMv3q2=Z2}2JsGC=|w7ui)9C*!2b)Z zag>%rfHRBAq#HeCE{pYn+c2dF`l)7XLy?Bx+d6eRidP+}@VEggaOD;9Ow;mFQtv<>q`J zT|;)0{!6;>CL^%Qv8D&dKJNKa&KM4x-SA}XuUCocS1Okv=)9*xSLy!6XlCMk$dJ*1 zlSCRdNu=>w^ljxme7r~64)~VH`H^VQNLCr(s_uwKNc#jgtbGuaG9Ao^wzgEI=Cw{{ z*vDl(9@V@J3eDX``^yCyWseu`#B; zw4usWopy{p!P`Gn(OxU*6LaeVa5{0t)xg0rp;N<}=DrZ6H*r>-tN*Cb;@^a#MMYJ~ zet>kQj8p`!g;7EIE{@8W@IjkbKfE1-WZzS9fhmVC0DnD=&h(bCRS#4 zk($qJYJ!5Qp_PqIs%Q}3Xb*Zq2X;_Sr_m-Itr;QQn|D7Mb;l)pul|9Dk`upQzfsbV zq|q?`jYg|?LW2*v9Tg8;Ni3VK@ORU*vVwj(+Od-&?yt;&`_vO26MWar5Hizr){RT5$dIg24O-)YLBVh}~$i2J683_J4LuTJ1u> z^AFBXvF$Xz6?p%5f#&90o^BC|_9|xqYB6770bg}^C5os3Y|3|0rccKkPvP7CR<275(g$-LM>w2rrA88 zjt~!W2|K?B7^&kuk>!846BD;@eTmH<8;;&>IV2GLcfBI4^;X0(Znt)sTqJ#s?k`5i zLf?(8_T8=?ODD|o@lFP+L4gDrkf^{@fmMzMmoT`d(tyB5RlpTTDA*kaeFzAI(zRo$~9z18)YwV z6GjK~($xf@bq}rFb$ntM%@Pkmv{%5eA-qkxYDVLO3SPrSxtTL5+i^#K$Ls-Zj)%>Y z-ga5sAf?d0JscexvQHbB0gr#OR39xU3ipteSv${4PLDoL8ZR+#S_(VxYyxsq;GLV0$O8W%uM!h!nK&ykH!nYJ^%9AQ1F=_ zsyo6jC^%df%u6_$QUTkO{yGS#pVXk)#2R|BYm`vVluC35+#7YKG{}IxT2#N#SN$pQ zMm7i_2`{o4x#|lf14*UAyar7e{kdd+3(sF_B{x$FTS>G?K0|IK$06x15+(=r`0qxZi5$BKa)>0 zNe#JimKia7Nzavj@h{p4k8)+(ie>Bnx>dP<-cr!@KhjLCt(#T>VI{qJeaLN9HxX3N z)QSrZe*06VL-*F1lI~!++tP$srk82HG4%{QX8LeEpHpv2n-kEIv)T&UfzanHfb(GP z(koKIWBvhdV-sxe!Ld-B1I_G1cCFE9cYIVX@SED(4X|5Y6t7f3?a@SQr zZVz86p=$X4-D|sootLB^mTbFfxw~l;)~_J9>5O-=Y&&w#Ts3ANtFw5>_{YY1S&N5C zK6v-uj+<>l-`AJ+JEQGtrNtV-boun)`ub@=4E&#l14!^$Ii}GYz<;fXC;fb&6Jz9^ zwd6iB^p8gp%ev-u|G+o&wRA?)@LJlT-URkl%P;5zluWzB$A9Lk_B>u) zc+0x*;%?Utd@tnB`OcKtqo=;ZT6|1~Zzt}7WZ}UcZ9Vg=RYpdJ5Jzr%3-%OeGox;;euSr!(6WXro*QDq*8*@j@fLADpw%7(Hqw=DyG5K=d!qMAE;M`ldLh3C`$SsWB|uT(_#HG1 zA>M_!Z`3arLh zz|tlrCZ^AYhlLrPod+u?FobNg0pN`@`cdcA=JaRoDQK5nlB1=_Ljs1ah}RLHboY>@ zHnIt=aYG?$Hw&o`B^OKyM8eN?BD2oT+S(dln;Yc1dKc09InX{jgZmeELFpje(lLfI zy3=Fx2S@|cTF2k~Q&n18W1rXcz7XhRzz6j9tdu%%eo%WXcCY*5;DtdO7OrmoKEk_a z%hl3<_gcxU$OEv})9ttDj6lJ`2aU_nK^wf-V|dGqZbW39(oeU9{-8WkCgjSBrz<-Ax*^=n4dchwrlSHRx{# zO1QgcP6M&8EK}G^dS%8zk z5z|H>bRvyXHRLfb1iq-UE_w9>3%h>1r=IP~FIBSkTQ7ZP>4k=YGe!he8j22V^;<>x zXcWV8^=$DMm=1fp%t~(ao&;$UXy>m6c`Qhp=+O@3)@zZYtK4>A?)A;HHrCcaY1n_F z5bbvZsnMnAmSrSMXmbf1np0&5bLCFr#z$~y06$4HNcf`Jd_XB`qK(o3P zCMJqehKGmw@axKX(B~ASVXvW{wi`h%GE&jh#Ncoj=ufiO^~I}(UW`J%%SYgeVLCov zFt(L~;n^tL7N=Z_lkcgLb9jYTxd7OgA{`4D0X#W}D6*l|74t^f0vV|~2(`{XyO%^H zejTTQ#u6Y!VqMcTlI`%~qMS~9X|5qHT&CB>&=DL})uTHq&oq_@hgeKb+-=I)>Rt9h z8Q;n0s(WX(<7agvXA`*l-lFM5QQ+#s^&BV`b>Njoo{r?JTyMA^0L=;@9Qp8c*#*K< zwU!ONT;EZg8>u|Tdc#eL7K+qBLR`MWcg6cOp!$I z+|5}tGREEd!#0SlE7EvL&=FvIh4$J{v>~o5T}cgO@k20p2o4)>5`tgi*Jvu+(<}NR zd|OTIdiNz<>ievJ()VYK1aDs#lNOWvkT{YZlTS(hsIrUBkFFZFQiMfq`eQyP`ka$s z1V2jHx4J%}3eEuTawumUCZ^4j6ukCqNh_wwVNxT(C->P@(QylZg9YUjDiDeRD$la{ z!4<&Nau#$;;&sVNajc~@qs{lO&#`Sek3G%ZzRdcCq9fbxv1cjNt(KHatHb?xRBr5q z`p~lC5v|cpA26)}Xy47^9)eqCC)QAX%-g%3^KrC0E|LF;gRP!N(F&iiTbUJEwK%v! zMFBxTnd;W0iYj_Pc9bz-<6D%E`9azFGd1)F*i0vyjeJ(iN0&0Tjm2EL#qW`=z=gqLE|Zdg%)Z=f=^)_1*2rufH?2Cv zcC1QS4-vMc{cD;<96?BpXdy-)=(w0PKFa&oF;^S zhV+h5gA7ZIiWRpndRQMz_JaWpU{CB3RYUb#CkYe3t#o|18grTjpzVlL*w33xfZO>f zX+k-FX*f_w$}@8gDa`3rZ#1rSbW~hb0$~dj@j-VH6cqX17{y7)LO+{GNS+Fwc3buz zXR2PMG%EuR4^TUPO0ngP^4XU!_Z>a>G8A}~mT;#`-`rfCu>=jHu9X|Cnl#C#Ler2N zK*8|T+o*DbzZ^?*=0o;D5x0tU%@OgXzlockkbkn-_moSsjknGJ5nq+>i@AdZqlEUMPNt4$ zz}~@YY#dYVf4O^si#w_d3niwg_$U{0^e|nwYNJB;PIMaGMyx|rhedxHw2K;a^TJI( zvjjJsFy84_8@yZRs@0GzEmodgx8>%v;916TP@vj4d%&Sx9u)z^BQE?9{F{|(LS^B9mFL4|i!IKq><9{jFuX8c-Gil&@)Exw<4;bzif3QLO(ubSSYm8U;ahoJCs0CFvCsY!k15 z&Cm~y4W43OCpH4Z%iw%Ne@gGkgB8Q4YWf|=4)8N44l-W5*tn?vx+he=>21!nToKIl z_s=F`UWbk(pVJf!igT7Tv}WBS%;rp-ox*N>X1xwFI$Xss*EeN5Vkkw0jI2wzkywSh z2~KGd`RXIjPXDCZLS67d3Pd_0fID*eb8~3Zb%80T0W1TY)aAa(A0PH5yaPUUE*|ih zp*Bd9*U(h2n%E@BqPK<-R+l4>y~hI+z9TR?YroY=efjrxSE7V8kSRN}QiI|f#T&*= z&B_$G7q1mTyXr$wi#U{S9dB)QK1RQZQM!(|qRE#~)ZI(jvbK*SKhnqt+>Dv%oxb;N z+TQQnp=wj&s4?ZB=p0e%S;#!3lCGcR5=jZ;dk8Dm=eKMZ&0#w0;PVvVga)Z61YHn& z$j|%9ys4}y{l%$kEBkoiUG5RKS=uxv4JhFeE5TgCNEGKD^9n_s3`CDL5hvjNwJ?3K z6cM&L+&O_%d{%=;GJE1h^+_+kAuK5E3F?VEF7QNd%XWA>Do)l=_V}VbmMg1ewtNk7 zVY42KRw%w%a6y0X+`dS`JB}u;oFVM1ah62w z)h+uI^I6vBe5rl%`268*ukfF7L~G zk~uPAcfp@|tGHxiP{5z8=Kj!4U79;s<_A(LYM*|f+L32gzfz%K-m)G7!2Lu}UoWbf zB8JfC(|3ChBJtseXU{?LR$p(KOoe6x>Iq3_Hh5qBq4(X%3n12fCH(%@#8=z6r$%Ie zIOw^}?5L3Xe*WpTJH56jiV_$EFYNMsUN?sc-`$3$DQg@d6FNFukD4o{P?sMsC?<)u zdmPzx;?Sd!Exd5xfavt3pWz2yP`Og zsJpVaAZ5oF9V7=JD+Hiw5+_N`JM~gujD55sMo4*%4e7(k^ueG+FxXtyqD9KLb9TF7j{uQhNGvBx&FY4 zyf^BFsn@$;Lq0Ha(gCzJ0K9ZzX~<_!~gAHsiTYIg~dmew+{ z)1E}N%P3Y-D@z)gwy0M*{R@Y#GHd)?%GU+^>2M8;n;qziXS}xlFp-k7O#@)PZtg&?>)ElWKRTVPuHYDGvq%{V{Nf!)H3cbX?hmCkEJM0w*p7LDR7#MdM* z^?lw&tnWpLF_3#BJVL7+G>6OEUhLXb=~jNbM|J*WSom=QDVfM-`JB>~*%n0{jdgTY z4(lasvdc%tAf8{l%`L7gLy)Ubr1XKLLeHsXpSDzL#%b`Hq7MzERFIU+6A9Q9JS zj8Q_Ve>VJ!R-FSY5$_AZAGTu*NaGM$0Yq=<9H_l@USmn_b$bl|u-WL+LLV~NC0BI0 zLvrcr)h2PyS7KOnS4TNN^X-BJePaPHZ8`iU`#Cr~mUmp$ZKw`*4*N*oB>7Y(6YRo; z?`~)vwi$4%)o{-C4@0XR?P;(OVvHfdY^@jeWa`VFM3;nq2ak+DWGy~{+m`sJ5 z>UDh3mRrZwZF@HSKAswL2zVkm(GMjaP!Sr#YT9&3xbh0aesC6_SoyTjO-UQ;py3~R zXun0;Ts@<2xNge^b}-bl>*c9r!Fu4A4;i(HN00 zZk<}Fx&F>*V8+BeM#BWbj;DX$R!#GBv$&U)brNV3P%YLbTXww)hc2_=1(5BfSAmi& zO!eh)$V`Y<B_Qvs1N=oQBNKCD-> z-mmEV0ST~(xBEq>tc0R_W_X=x{oCM`1{8;)mUf5R%x=1ui`Olx(89~t)0maL;#1BU z4PIFaR@yH@QsRq9*s^_qpw6Jv(-N(_44%KlIr|j<5XUl+^inFM_i(a7YZ};}_T3Hq zu^%Pc8OC^KP)Ut?+`FOaXTWBaJinTa_T3p_Mj872`3GS6f{#7u$=crb1X#Dmy4$ADAW#BUZ zUA;r~*LlD2sO)q7>E);IR3Ae)8t2tlHlpIhSz^Q>Y1D`4#eXUbgRN4d2EEo9{zofx z4@=w5>{+F2wDpcp_Ee*CS6vhQ36aO^BJZNzit<ON`yjC>FbWtfP_iQ(8|_w#hz8fuS_2uBHX@Qud}e^iK@BYC%BC)9`f#W(2GMU z157L+MPOoGV+&&Tl?Z%DDYdj6&0_D=Z7W*+OS*4euG|@g-D75T_wC;F&{697Gyb_6rQ_Lim}~7lQ@0wCpv58$#ovGuH0dmy-ym3j z6M-N;KxQ<02((V!X`h>mI9yFT4YBY#*D_+2?U3eNg%_nq@~_H!kb*yUeighg3r<^K zpQAi{M!GrLkvjGK`9Yfy7xOTay=qu#f1qQji$f(+7)JRnGHJ~qHYLreaecc?-Jke{ zxY)R<+Amcv?Cx{#uCL%r7Z-B2^{IC3Uw>x)dEdO(&8xa85Pw9=`J>Xyy~w zk5gjdleiznSsS#G>1-5)z$+ z-hbN7*y&mmpKHks2~TMpb$3-I|iC8QGtnDHr!?@bi7*B<|J(>*>Vg9_G99D%qR*4dlk> z@~p(|q_aj15<)BD@#$Rsoyd9x5z|n(2-uFb2Wtu?37FAiDp^(b6$f0UuiAwd4|}?& zutd~SNEwU6W}iQ9lQl{xCgGfZdg@i!e$v8OZuBK(!Lctbqcis*(^)YGk^{4BEcSZO zqq)_Y8Q}CItr#p*%fn*Y(bgFaxjHG}8}dZ&GK+iVv{ZE1mG)$Rf6`D-0}lKC^>CMp zX<6#@ak4zFd1!F=x<#cgj|3|5vr+#zOo;%LU{8DvL85WypAmzHGXgw<-l%S`vD(cn zaw|W5cb-t?TwPF%E^~5SISMVL1W!I=qb`pNy9LqRgVSx_)hpBa&6c-3j5RNW|BKhU{AFNP`=S+3)xOwesDHab5H_uvH7Z7zG7|zz4d8T3w*CM;Y3dM^bs^ znd3Kq_>2$9{UlMp1~bIvrQD<#iL-G-Y#ve1$;-T z@1xxQ^1Pz8MHw2F4&|BitvJ2WwJ6?#p7wYCryG+P#>)u5FXfsiE<`g@9-)o6Q975@ zq;miW7Q>XT8<@OvxHIg`f;=St;6R~90?rBn#*U^zY}$K^hHZwJ&cqs1;88e~eWTCv zuFp*tb^ipHa;alkp>XVev17m=+^$xLOjT{Mh5X7%0ijxSYQv*NG}xZzeMmbz9_$o2 z#E=Ff8etzvVR47d?JgImn3~-AuCw}nk)ay#p>TTR;AGgy3aJ=e3@jkDdV5x-90pM# zAOixE$G;DK%E0z{`IW&K+$KqqD#n>Uqquf;Km|s~w z1=FTruzO~kP_gnXLD6Fg40d!`d48U8hY_u9B;z&)- znWIPch79Rh=X0$S%xDul$tl2n$@cHczsyJ8J!M$4Zh(#IQ1Y>Wr*q?c;Nt9MJ&8-; zO@hld4BT5erfVp$zcfS4)~9KdrH)M)e3oF~ZTnzHEmv=r6HVa-jK$t86%Ft93B7BvlKGM(y9L(ntZ}&LfFEkbyX-ytY*C!% zOJuoF_VZ1CYkn~RHf;5* z(H11`q9yG@EuD&|Y(;umg+iKX^Thiv^DRu4hky04hs7fcwNK|pKzP!Q2K58}%JM6a zqI|9QY)!OG&V!Ip#dax5)$tD6t&3rOl=GA+{g+pWLcmL5G_i%sh8Ptr^2Yd@YpYSQ zoA3o!_k9A7!v9N+fL!t7YbeF2qx-bzf>{*hu z?{yQZrWAl6NEjnR*R6Y*JFbhKw+Us8y)Uh1P}V8go{H6-1;AkR@suDHDsY*hY zj-FC-oNR44N+2JvR5el^fQs8#+y9KMCxlEZZp5K&?&)Op)7!5g|A^fS7BnmZ+UGDd zL8J~)lDnJR_C(!jIZekq2S%bQueBS5X|=JJZ!kRi)Qp$ql*g(!IQ1=Xkqvy+=SQ!} zOR#FyLZ5c}AyDhA(b8iS-x?**kB=Kn;}r<4P*D6?-jB(^5P>LTd0)-!KGcWn4zztG z+HqB0d1l#mms~FE`!ceVd35zocTc=mnVPd)17}yya&oMA80&HC`)8U}uvHsdMB^#K zQ>#%Xqx}t6H6H(h4B*AE@Fe&A$&K7Cdl~}69#vn`iC&%?JB*J82M+#MGSm5o2K4X2 z&gxfmP=nKCLTB4*W3BF31;>D+Wv7%NXF%B>`|gHbS-oJ<@5bwotS z=jeF-YmiIDiw~%Dz^lIvyP-F&^;ia=WXcX)>l=IB5cuam_q6nYs&Qh=zh9~Nkuq=Y z^xrqYTf>iQ+yCnddWRojn))JBK?nYWdx|>D! zVgZXd_rts2IOp#f;~V4qv7argp8KBnoY%bOHRlteC@)QLi{cgx1|xX=N>UjHyCDaI zU6aAR30}F^`rZiqPry-1!%@Y?#L>mT-WVol;Am@U<7oN8@S(G@y~76^>*s77&)9fa z9-28i+ByiZvs?Y=6Kpp2rtCSn0WIKH@N8dcI>2D$#L$0OrieevFf17Cwd4y`*QCul zx7tU>Zbv?-8PjhBfleAXi5y{AFYe0WKD4&`OjJ>M=hLIdW?XC>ZY7m-iM*j9932*S zymX01I~3$3rLaEZ)0x~=yzUt6N7wzVTeG^Ry2jgwayy}ByB?9fJ}B(4(xWrmmmxZ= ziyA6i9~ITMjZNjwNtsw1=EMW+7d)2Io!N>K@Y4QE7)+h%x-tG9Ji=FdrD?qz4q90 zruP11g-v^F>-D2?QyNOQr6|6&pV77}-%J-m6g=tHQK!l-ZUsvT7WqxzOyT^>R5tE| ziLpzff)9ADTS?V*q9)oe9f`zo_jVl#%*?UE%Zv>pVQXF)@gA~Csr+lGVjh4`tY52o~~sK#)tu9yf1V+ zFsWVPE@)bg(+{_<5VZ9)F}eBt`Sasn?A{-93hF5?4;3!`xh+QC4W`R!l$j3`AI7t& z^H@&>SJW=EW_jI}!=v?Q36#(H+he;52R-FLSikq#W^T*IM{s5@+-2@2b7msPcLhs6<>HcxGCELZ%ybDhi+-`ZJa`XwDX0Qo`e4m6mD;HdOYGCTH`F!8y zSzpmkJ!XOMVvaDjT9DoW*lRBu_g?Im;ijT|)?2bhQ46+w-Jb|7Fgw)(^dC6$N3^L>?=OvCHWlZ*q3e zd3+U&-ub$EO+L|ubkH5~4tvRq3zWO?lwCVjn$#Ok-wG|>?`!nNYz4hc{YW1nL|ou8y-{e~O;!O{ z^t-ED#hOXnlahG<+k8oVC|Ws8)G&N=eFxv84IWaA7StPXvEUd z$s)}qpS<7}SFTpsEoQac##Cz5lUmI5&dZ9)Ux~A4D?_d$1^P6(NVvy#)8xz%Pm=fP z+L+Jfxl+Msk;!k0B*#CmT^AqB1`F=gI;@^N^1oAj;MVeB=Gnt|xchom<#Md{?omYp zm4fF2iCqsz`@5Dv0=})%!QE{2x?Acxb~hlOn76X=m=u#A1deSow=+-WGWBuNx`u$= zW4zmT%pfR5ub{?9g*V=8tHxzScygwvrx!w7a9jCy++!+2 zB9!rD|BZn@4z=r?*!XacdX4dDuIBUIsbZ^1p0nSxX9VH=EBD^W%Re4vx3K2YbYSTt zh0N0Ec9cXnf2x1nOuoCsD0&|_pv}Am1imNqKJDQ``>&FmMl_GlkfISmLQAw+oGw## zIMxm4&M*Ul7Z>F_H9Pf94Z^b*M-_YRK4@Sc$7mO-#_rdop3hKyw4yAqk2_En~a;Uhx zz$_jPDzrlWzYe(XUWa*QrJ7pl-IB+O;aKW;9lR1ZrA14pRPAMRDBps|9H^Hk4&1nxCAF4S8F{jP;pKl&PP|j zkzcc*;Bz`?S2FI{P3d#Cx7X9tBPLh?`~?4Vkyc(CfRxM4@T|$LHg>m8SwAG)dE&#~ zhW_R0P<;!b=v3YYHqEh^5I_I7@wk_%L=C`d>_SL@?am?h9fV+x)Jw0zcK|;9M2g2oGA+G)~t;sau*TV11#F@j#6}hY~O*hC} zr77)N8!zM%d8!A+0BK*-`|beu0$+Ha2xjx6 zJ>)=(d`H~=z)9E-Z2ABkE+R$HRaHI(z;EM^Gepm`CNpe&Fq3=PZ*!&&fcGyj7u4Fn zYZw*_6{=~qqttgAe!JI%Lz6T)+vm0Iu$}b2&Jl52^lW#^^waM|-u6DvmFEr{$q5Oe zqG$7jHH$^Yv-`0Xtq*uCpBzq!g-T?sMV^iNoRhOvul|_ZOSGxK58cgS<76m9BtQY+ zP1EA+=|}|x*sR$R-61~5K|YPTF4N1@lcgU>dPOjnwMz`_cmj0Zhp9C4R6DNiKPGpa zYh1T1^uu!UtGl))rA1E%=Bgn7-P?9)5Ulu&uG{fCP8B_+@A>`PIM$+K(iI>+eEczB z0J`1e4aZWgc1aU1;D!d5=V%%WL7yX2pTLuolexVx_WFBBgpbI?mb0~PoW3_d95aRd zF}m@&BiSedJAY)^slpZ=lR#p$v6HxP;l29s z<$1#;xe#^rW8gnWZx;BRQ&|9ZEXH1rRMZE^ve$8G=--ucU3rcOfn2uA>hic)GjOgZx$ldd6cf*HoDKp0I$RVA$;C`D|Za1FpKR6R9`a#m8lJ>QL}+=bF!^AkjcT zg3xw$b|wRKM4mQd6+-ErR}=Vbm9UB#_YFlahQIn~68OS7xVZzMU5Z}pMc9oS#~Cbl z#bj~PfLl9kg#5t8p>n*#R!+%9@y2cbz*$|rZvcYJ8#bnH9D;88C1 z2gzA|=vg08K;|xJ%WS}^D-Zw3+I6#5%ysKuaE6Os98W3!4dQqdoBt1d|7*sato|vn zb=5MNj>B*6 zXdDXajwXJ3=Bc$nFyp!7F)Qmxe13UUvt5mEsn>JH-%<`2?vjf4L<(&$xyrp9(<9y_d@LZx_^lm_WJ&E%< ziJLm>G9pF8{J@N2gr`TUAp&?(DUKjc6OhW?nv4iWn3PNBPJqKcFPpm5U4jYDd1fNh8IQ_!-xMl^Rjn{@Y zP8S5OS)8Cih#1Y+O=LO%Q77=$#54ej9b8bm-=+HPpiflP$#ZL>ENc-g&4*vHofoid z)%!bDW?3x<-OKi8Ei@O;G|-hRm1da+nbW^?AfM=tHc;MO8?Bi^<^R0B!@mM~Y~gRf zK{?+ZHRH2WK5-a+tDe@S$`o__5r_I!IE`&1R@S04mD7;e`aO2;g~IuhI9=!Q#=VB) zum;=q;T`m1o_0n0(fAO5%2!WuJ=Y5f>ix)}Jt*aFI|^iR0;oI@LtO3v#LMD5IzBvf z^qloVr*%P8EQ`|=;pJ>H+xgHj;dbZY;h~uFB?y{%?B)F=KSsDKoxH%>&!PHgc>z4| zm!bKrO9N(F3gu9>TZ&6d z%{=D~!eEv`{&#A)z%3|+sbDrsqRs`aE_+1|QwV>3$ViTzKnjzya`(B9l-Qo_wX-|% z+H3Z3L!RNH$P}{+mhRm6A}edy{5YrKlo>q+5*~NqtHB2|yMZ4ALM-3Q7mT)4G@M(( z@WT{4{bZW~+4);0?aKsO8t}1zcGBkbYuUr*O~1a$r2P?lw8wWv0uKcbGGCP&j9oV)m-U7%8RH{YcWA3}1d%$O3g1r=hahu}^Swfk!0dOOT^DN5R8 zN0AQW~K^CfxdcKgdE z(!GyyX7f58~&~DVyka3tK;Eaxu8}|P|F2{ zvVXs*;>f@kq{$w&E5xo-FeR$FdUXP*Djn)t2CHvE_4_debD-u(+_>E(9!GN|@F~%5 z$r>CPrvUub5fno2W`jfyXm2g_J154Gzoy|g@ZWo>w zy^J(>`3Iv1On`DMhxAss0RtL<@*2_y_M##@fA&u>2yRqKULb06=-kAuwnBDoE_+j| zhp5K1i()P3!v(ird5O&VVk;wn#UmIJO6DWayOm6+qlJhaP)bLxL`Z6bj182k2j(>;(>5tt#o z^#Mfpao7+xIxS8w6sj!8K%};f$d5?moof@HP8uOtyO!G_4&EzumMNL}pYblFxYs{f`rdswyu5#~mwx(K%( zBV|P1hVmujEf|yp7Ro2ByRBve6LwzrzI?z2-3ku^#*kLRdg-9I=RI_D>SKH-3GGL_kYa|Gz9X+GP@h)9z0h(`Za1f&#D$|CMb zL>v_Pn1X`Z+4CTA_RZD-Jj~gpjk{e>=DYBk=4T)%>@Nc}y8jB#5eQ0ig)O)7FGOAJ z?TLA(Y_ZjHHL%{%ZqB5OopwlzaNbFQlFqxO3pgl6v-*JimJepC3)KqufBQJ>E1G4V$!S0EM?5&UWoV zFRgS5=3P4!2~<$7zT#ex&ZP&c&$)##_TJpZsy;8agx@CSvox1`G>czk*_wXy&VDKY z{J?c$5YDq3k+=-tNp6|wTXOQR`=&`zOImgRrg}7(vG!d?pM6HYrAP@|P@@x`Nyq{3 zT5|`7(kwME%9owcG$1A)IA&?rtJL5{9U%7DW3?ThI3(QsJJ^K@?aIWYf zq%lD}u$OP~uPMNavN$2GAA4$vpoNrZK) zQV7X^Jk~A}_`s%?<5;J(=6ODUc^@b2O1h|+vd7=9T)Yi&#va+1V4a;;#4TR}^J@wqkt62D;;6VZETXTs1 z9s_;L0%X6P`&9){6^}EO4l(FGKk`}_ME@b3z;ddRC{EA)DfRiPG~rK!VxQ=pDkL?a z%M6vM5$))P&X(N_pVN%2J`jJ+nx@GC5O+BS+|M7P|Ii;Q#%cw6p8>-SkSLRAldL6o z0HD?mQ)cf5*(O>5)Z7__U#o!Can{F6Kd6{!M@L6vBgaM^5SXct#8=Yt5j;~+ULb1})G_x=;pZqMDnX?pUI>p2C~=Jlcn-};t%2VUS%ef9Xw z29%d6_s5SP+atH2!ophE%?nD8rO^KO06}|p*npgwou}&~hy~J&StbuugS1au^S*6o zt(YQ?>t0TQ)7F~OW8N&D*Imxxh{kL8h3TIyOxdaC3{ROR80@WF%GtO_YxC?>{o>5$ zuZPqNtvt13O#_`#fPfwQsloYC(nQk|gVq&`vnR>3_t)H3c^gjTYMr+xQsCIN4Zox= z>b*ee*n3{XQ~(vfSq?UUyiYlB1<`nex($ekp)}~qb^>k}8gL3YZK_N6jmI`*Zl(-6 zhCt|H2Wre45eP`~0<<3I2mzE*>?8Z%C2$mr(2iSQx78)2fI|*Cq1PBD= z*CP;sL08GEz^*)D6pvnL?X?2Malmi<9G_pzdH@&Zu;UXFx~xcGBl)_5gm zIx`?m^SR*?(?C;IAms*mV*1A=v^Qw6F~}EKav`t2~_g($9lu? z6PloE9MVZUSOxj{L%`ZwzExizuTtdFrISe`o`&Ot28*oaNo3g}@VD5lDe|HRe%>jSmf+Rzd(C)sY`^}bNJU+JR&;qF6XB_!to zfjC7g&kzXve5b3adjQ3++623wZ9K6XfL_15uHN9zvW4)uI5{5g^A3bgv3-#m&9@1N zPNrIpMv>tS9?LP`IKV%SA@KoHp8=J%rm}JC*0u#QzQoU&cx@W(U7#CiE+Nk?Ec|2tPRHR4 zB8-=(1(%^J^85_0!k|kKnPvzIc94KXK0>;{mEJ-k&xe(xUhpzaxoK$VF7;`D(89Mq z&&O=FyW(e%4g#q<9|a&W5FY~hUcnt9O8XAl&dUhIq?deCWG1p%^;QhiJGJj%edQa&aY8C$hY|E zx$Rcj=wk#>BPpS_l2-NYsHiFcHIS@52Xx@qM|JZAHjPkAgkh5uARIVp=yIP_Kn@SD z&}lyL)C3kg!VDZm4X^q~W{1PH64gpbq#!D8 zf*u$p6q&Wa_kUG8ZNygB{P$Mx-`LVV`S*RHmzDm%e=BnR&!+tE+>lcFe|`M_-`lFv z{8g$L0n5C5)zvHG4D_M@9mwjk-=$kX|LZ?;sScBjMp~G z9r%D9B{mF{J|GkCk5gBG>I5hmo@_BPo!;V0-gjK}L8^oQ(t;J-usy!Fek$av@F|5F zGBgW~2w!s*hi?Sd@t^opARJ$OdX&IJA?V#6vUqRWn*7{bln7)va~Uqy7@4faVucwr z<{Zm_MS*V^87)li0e%>F{2>13ZVgQSo`i10^<7PtGaNJZfyrN6pkYb-=r_JJUj^Y@ z1D2=L8!t^3Px!<4XoE)shkyXT4oOqGn=-q@82(2&>#I8o<8_Gfa;%xg`uJ8Sy-tt) zDd9sWxRjuZlW_T`8Iu=#PG~9p2e&f8`Ru!Lk|pKTth0NN<8Q}qI4gNTzIC6S0cMKr zdQ5!uv5&-mQxEJUA2_HTW$NJCcW|3Y>xx9;XP}f?z>Tq|OInXS*DHvtlq-=`Vf9}x zcT99RFicTpO3`6U)hkGy-APr>dUP#|PyR-y1IUBKQCzZ{Lk4GlxVi4k zn7mi({Ca6ST8_g`va@M6GaS>5tmVr6Q1|#qBpasZw|61E;SAfsc_!E<0Fd)eF^01j z8G?A%R3;!ASdBZbeg8FASs2e-CQ=ZDU%QvT@8Z4_Q!PW8*(po**;gff9WXR47?s_M z%OgO>d583muQ~Q_pzcU1F){d-X6Y6xXKa)B{#2;$tEPbrH!hfY&GpaU1$KJ`FdCez z2z+m2kkm(_ZaB{mjRAy#9jb<@@BUR>St55@u|{z*)XdxRRoV7 z?yjPs$RPb#caR$?YZn8ViZ&d!>jGQ36^p>Jy-!A&eRa1Qeu~D#qC5Mde?i`WLm!e( z#}!CszK_c~_WmGbqTj_UoZQ-`k4QbM@tJr@EFgVS=(?UsL(|nBBO$#3EYKOuS9X>|?2Y6(rf7 z@ui3YO>G?Y2Il(Ica~a0SM>U>8|;@iF|>vb__eE>b^LhxEIxHeKs-Rmz$U(!`joO$ z#av=1jVd`#6)F3BBe6G(LhGIkx+yeWIY>l=mp2G>ej+d5X5jY!u<6K?o&WlYr0-YW z4u|Gho^sZAwVV{?tatYIU!XY+79tW24Ix8H&%2F2zL%X4KpgQL3%%&L{gPNt*u{8Y zai;4)d1Qrt7-^D*g&S}@$$1p-6zPtXZ79WM{$ZP@j8!P1SawaN<0CWe`4@F=N1dRH z$x>Jf*EL$&(by6%dP#b8Nw2;RTbxpss^Y&|xLgzjp!v&m!ZM2k`90k3+|r4~cNBYd znN;VIFbj*K-GO{I0y^k0Qx_k2Fzk%c7ZF~iC(c42mOdjJKF;aKXrk5hO!e_yrre02 z4*R6Q^+Dts$6CL4vglh$)ntXYh@8DvRWCTH97?uE!)e^QA`G-)L0o35oIXTKDfxp; zD4!8c{0{B7pMNqV-=PH9yULFbUVSHB-Qn>#yRsmk2qKC?)3t1g?7AErO+pe=0=|j2bGgl*t5uerAKDkW zBQ;yS%-c+=bCul!LuWL~>5a69yC36$3ly=seQeys^CGEV_va z&-~M=>6qy%8(FE`sGJklSEQPOfk2T!Fq~u3QI`xRAE9` zjiI!?CwRUVjdw(W5#Lu8mcSXaVeo5nzEVluNIcHJj7a5fC`1k+SM#RHCkmbx+kUlr zuG+R?O4OdM_gB|Z%H&o$WyY}iu&!g5fU4E)*B&}|nugNx`i;u0H9Wj?hQ%u;F7cKxIo9#tV8M5MZT{_o&gQV*8@oYad}xWegX>RwU;W6cyw9Cd z`~3@{Y6mgrvTH1UX=dYESzaHZfyBx|?||2DEm(JG$qWydo{a(ZB+le)WT6&Y9I)qr zC65ZfVp)l5DpfXJ`Aem*Ke7AeRhiQ#&a!$^t4m!CtLu@EOtan<7-Xr6XAHjnBlfl1 zxOCDATtRzx$-4rCek5_A3qt5G{L2?z-C@q6zB#ZSwjcVy18~RBHG3TV8zGwl!1I~P2&Fr87w+lnBgDD9seHGZ;r~r8weH>#-@b z4y_AFK8p4d=$Spz$1gjr8&WA49oTYKNjY2KBAr*Au^3SGS0`G?eI6q}l&mmAND0Si zigcIVqJogj`Q|c?zS}0woF;7hIR=U4Nz%B&fewQryc>wn%E#lQY=Q%dOS23YHmIWeFm-o0>G#OuxP1Pp5&V}Twc9RFXJ6j ze(Qs&u5b59u-dc8u z3iwuhWQ=0(<1oLWsjVKBl&!4aVX%((vz&^Ghi2U+wm;!*+hk~Ewk~4A*c@Z?%a*k= zG__1CFMS^#s!}#?`S?c`nL-)K@QNgZfzZIrHsQ3X7T53WL8CDrLg<#sFYb#CjyF&= z-iO`h!FXukHegWlTUR7MmINGPV?3E36P=6+UIhGmrqqLEmFL|I)g|KodA>`iU*$CR zaQAI(T?8pz8NF)j8zOouDk8D9uh&~m+H7$@&H{OYX=cCj*W zRlD!bHM+p-A5A_9{jx}x{)G$vfZtJPR`%$k{{x5Pwl+VRy|M}m)Zi2>x!I`wtWs;6 z(l-wKxS4GSFdKl74?N*xHQ+Q^#XGX@6KfRvHz?`ArF3jt0!f3eKk9oy!4&s4ZWL~5 z#ik4k!F{|H;NPFS$n*OJJU+X-(}UUGW0YWwwvi|C_j}SKfY_ii2Ipp8mSCCsM7&N< zAtZzNF=-aP%!E~#g2D8QpXayB{sPkfpvDbk=@z8 z0hsenvFF@D>x|S>>LzOE{Z2-l2;-_}b&GCyiF8Yn(xrMI@NoOa@eXwpnop;TtGP|m z6xfvKI=h)yWRxz)9JK9Jz2CaG<+<*jXKN9l@>D%%7&KZG^VFiN9edw&eq^drsIZw0 z2MNW})WoD8up;Y<=o?u_t^Mb8`AV=Xohr@VzQ{(a9h!H~s3i6D{XxTPh42$72-1}C zq+!RDz9g~L&)*l&wfPA?;>2KJ7dIOlw)Uxs2x z6WELIb+k>tNMb7F*VbNw)CJtmFW#4w6woC{sqmIuY><*U5-v%ATu4ifC4( zAz`SA-Sr`>0Lqkdx#@7Hgcbf9WvS0(4~tRjJj<1O$DO^=IudT3+-z~(K!4cw48bm& z+9?OjTsaOAsC&>V_QFfVUFlFiIjPGr4d!QU+=IcmqO}e8{&QCn;rEmScwrhg28(w z+2;O;v6(}(`#D9M!8*Uk^67^r)|^@8`q7QFZSuO+$Rzp&bISHkapg4Sr*?2>f#lZY zTP(OI2L}hQ;X`@_6;F!1Tplt{OU9=1-j&gB4Ow6ALDk1O#zCz`m8V!5dvmg`PkdDh zcWEBNDhVA!0e{?Xt<$iLcaE#3_ZPxNFvjwN6b1UhIE5_%PuNO9R0Zpdd^Gzt45)pu zrT}{y%U?hH?n@nZk&syNGjnS3X0-{();X7S`F9Y1%bV;A)rIe_4pZ6R2s(Z0g;!-M zVXdN@5e)z0qgrl%*`bE-Vz0l3F$E0=J4&PB?6<2Zce9Gg;2*f4s~4Y`*aF6bio7t+ zJ-xk;-IOM+5@X%mO5%4U;9~_;ITKkd;Rfe*9mE}wq9gpd1WV|(*9D(%!_7jZvFa5W z?)B><=?;pL9DEY0eES8Fz#`wvDjj*9AmTu)pf1Mw+rmK8OAKli-_S<5RUsxwxs5sdck}H*#F9wmITdx}GJKgD&fIRvw zzS35c5jxXeey(_-IlW?tkp=LUMvlaCfENbBZdCUI}@xK?OmJ@Tz@*~s< z9-8?UB;zR;2i_%;Myx>KApf6%(!4XBk~QYQ&TSqDQE1B0c$n$&0&layH5HThUsdyS~acf&>V zPeaSs@DfryQ%;4LYXc_^W-Lk_`fp{o96le)zp$K)@=Dpg%sto~TdE&Gg+80L8 zB&C5mAK)9P#X)pBt$Mgk{k2G^o4d&6C|5l3bRy72bZx4|eY<_x1e#%r#a_6}Puw^# zwuea4gf+A^hgN}CacMOH=Ka=i4gbFAxCY8ols^TlSSJr4LmHIrKqSUKk?&sSG%wSl z%k1h})6>?nEz#DVabR{|E^adm_#TNrBKv$U20u9ivx*l;i<9l_rL z1taoECa`Pb+|BE+5FJ|Se07A=r*(I$Z5iQ9H>3wb!un4xPiYv(26c%>k={1z>+}9C zXE2C$0|tWcNsJ7*t~v??|1ir~7GPDL?X`aHs6bkW7T-3;wBV5k(n0GiUT=!CW%otF zw%vAxsWKqDcS^t+FL3bth)M{zZT{{fk^R;2<3nsF0|sTjs{E4Df-XK*1|R>mlRz>S zPBxoSz{{G-uWTDp4888gwRQnI$)~Qdwh74IgLPJAg!5~Y&&;xgF#@H>45RY+X6Ntdb3GCbZ~24&oSo^mF}z4@nHrnYOmm>*ADB!+)qj$8y^ne_u7#5r zoTqiCL>q?9_SOdFHmxo<@XU=lkPH-)CyF(0&E^9F*S8MK4orU;YZugwXvH5+?4U6r zi5e4sM%(mUs*b9?KB%k@c$KlkLQ>yK_JQiyT_4owKvo(B+VG1iowlx6PqmoIgh4u$3g375VVypuRTg! zIKG%ANWJp!aS#dgr(*x46K1kMe#@~~l-*KvC@%LRa6g!=$ssYYEs5ci`$8rwNtbk% zXwdrok(7}5W&O@ffcgJxey3Cs53&E#}1 z*kt3Y*kmB#Oj`D(gqN0TQdsGwGjzM_OOSOgh9!)WGra_?e8qu4tv?T1qVlJBa# zIoaI|3zKp%>7qe8t$H-e-WzC4r=NoTZw9nEz#B052LU}8>IbByv-7p102PGq07;YO z8SVNeJib6H|A`xPtrB;B*tP=OmD%@!^FP3%B_xve zW5uhEDkN;gU(%#+dL6Hc=Z&bWQ0#_@$~AugSd*&ZA@5kPndhm=wk`wPgT;a?7#9U) z1BUynMa(rYoC5UJ_-nT2ZF{V++gP^RAFH)s0!FJO&>OKh%veIb<35aJl$kE(UT7nKeAM#@ZE%F0?4@!^^V(-WV~lVgjAnM=A&AGFcj z!t~w>t2lX!;)DHcHQacGT0h*+Fe#(5?{oLFQKJZm#Ley=psgYfZq}2e@W*HHb6?EE9 zM$>C6wp??{HWp`0$7L>SlYY{23^B)%lI6E_NGz6Q-4MT)$LrmfoQ352+A>^ilJ`BQ zKuPVmR=t3i5pGLC{1#OQiVdK%-t2O7@^CPaQaQiH?@$)ZivP0HP`UATk#-G2iY4ZJ zf1E^aO$O?EydvXT zV$MZOOie*TLj-H6Y3#3~j@BsCiS?+~*8Ui;}@#}TRLL` zo32ZGMeVt(d6TU63ak9ZDVIkSuP1KuD{OxQIxVpr=vD0h?TdUi?3c}_z8p^)Qddd} z7aV&K2WPH}xI&ZL46t^f4!*U-*}V_r-EQW&;#db`g9t`L*g&uoXd48!$`b{Mhredl za9jA$@oP1}G3YdQ*wijmjfoU(9H2jLg6Ceo#S)j{%;mmd8dZd=`-qtilA>F51h+QJ!sW9DYg}qC#&mvGE5K9LBHqqeWU#@wC_eWn zdNO}oaBlbI;?vjdtPN)FjYYM_o*_t#Ba94=48s15z5Ag;Yys_DS>T_g-%G6X6i z;48((>LLnfgk(B-=m^F3F)0-V$Kr4qU9wl~hj-1TyF3M%gUKGsy2o7i)3Foc}R>egEMB z0}6oRp?jUAP>dr^@vxJJp(C!a^E5ed5&uoMAy`t?P%`w4Vn?wF*ns8r-AkC|{gm*c z6)x0uvJDgLNc(2vDm?M}s2kiRAhkTzuk)JU?x{JgoaFQI0*Ts>R6jnHY004! zj=(e-Qt~>_bRcq_Kvz4_{Gp?qa1)0=**la|?60OnPmlaAA%oExY0LY};_F;w#e6Yj za$7DP+QBmVgZ<4~TF=UiEgR}YWFP!{)nK@wvmU0$XGmp4Bp1L^G|0@poLiYHH5_TA z5WW$R1y{g7&bHC&k$zP{^F_v|a~Hvq#zv_xZx_8GTAmln)H?Zueh0!ml+v{Y(OS8O`6ZT8n}g?n3=yOUo3&a|L%ku%h{#Ba>VjHt z540&5ybW2=yglBpv%09oQn66fCJ>S5YkfmOw=F$+S5n1;_3(HLJ^Z))e_O#UE}+Z7 zs`aV+7Wd8OAK9d5xzWnyYOVW);>nf#Wv&$McIG)!+zLti6Z`&CwQj}Q3Xet{`ghPI zQS$hioMcaJ$cc&#j;mQe^GWAbGFiQ@qf2lWppsPL>W5ROBH!eyGKHvca`CEhmCY}? zTjxGp#hcd@&(3G=4%x&TcVmxPG46^hw;wpEa7FtkdD7 z@^wb#7m7?b{^cJKDhhuDU51uO#`4ugxFXM+bC}M24@qZnQm|WZYvj94ev!IGwbp1f zJX*QIF}{|pzg9%sB{NyuruSEf))lt{s~-RY6)-Bhre#OqwjfA1usz`sBqFZw+Z-o7n_LH6q-0#1Xb=4}2+f4)Bu>M$g5LPcr*4|(v2w0r- z(&9pGYyWqN%RL%WgDg#tWNV`w@>B*xjYdM&%I2-=oW&QuF}^oO@h-jWv45&H&f&1a3c{4reU1nEyl4jB@I+_q0eE z>NYUn`}5cpnkoIqbBm|OjpYaF3}y84C3W*()v3Ws*RXR1`zKA(NIC=*%HbXNo2dyy zJZaTa{OdQQ(sEZb$Q8c0!ETag{BbZrDkArX=8x!RMmA8AihvrwzSp2@ zXRWk{_!MqYAShVK_aEz z9GxEI^1E&?uywGXc}a|*N=<60oZk#(M`XCAk!zt5!Fs6MkwEB%a<5x5F8D|$C#8Yf zHelDe>dRf3@O{Rq;-7@Au1`JA#OjyT!c1~=={EKYiC-<-h116vL50!bCTj* zvOcn)4SFjfX~gpEeo2-LpY+SCZ?8q)P9v=P;H0^wcS!d0kJE;Sbn{8xaaMrlw6sFz z!3wvdumn1h_wh82@Th%HXr3lrj<+VqbZB<9{D)SzOt>+PzS8%|(x-vyu0{2U4_p+l zAJ}g>cGTAgy1!ugM#$=|&2iPx{+B)ZpOXy?2}pmmtVkDTmvuZ`XIiN5v2an%g~g3# z82oxSsTRw(iF$Fp@JT4~3t43g#!_!oW8msy@ti@}T zS*JoTYUok-4tef6(+u6kRcGRKO9wm^`}>^#pb8%g^$zcE}wP@Z8Y*ZJf6;z&q# zL4kbdL)7R7>Z4~7aXBIEN@Yry)Yvc|cE|`&Prl~+Pf~^2pTJGET6G0_PH4r&4dEEh zg4+srsMOBN{64In8BArggf<;f3bSjyDp~mH|1Rvw=$127Vgi)hL8}!^X1TOVznOPJl&f!_^V@8yJsZ|AeU~x#;$Lk`e-*nVwVbzL zK6S`YO3QZmL_je4HmKaIr`do;z3%QF#<0c_9L#7HY&&XR_OG!Gy0$jEBqn4)jclS? z|3Q9~^Q-lX4;g82G@aCXJ??oTU%Qj5`RbcDJ)er|C=+$ zoIJOu3Ta=4j@A2m)y(@ZEKq0>=$70g`b83ADVWOnDY3+iik8Uj9y*&;P8e%A7Iie~ z?Y5A^m>GHxbiJd|pbmo(@2T3Sm=noe=WAkn!eD3`i#;4TuFdf_JmgOHWa0b{+?OJO z#wPr*cBSg86BX?y_b{Dt=BJ?K2duH?8QHi9fObT$mfa_QRV)d45&Yt|Y-d1@3FZ8Q z_Q1j(#88XYK`H3G3rTm^$#}vjj8xtwP?709%Jd!wL8EWYK#oM1b&Bm?8?se1?TRbM9?_*s7x(#vudlmx< z_AwJhA!f|lTjqB^s%PBjzpdm3q!mB$a^%-iQQY?-g;GiLoy|3~L@1*o?tpAg_#AE4=>=HsN7eXAvoKgdt zyAHz1iL8pJ5~X@IS>O%>0wQ&V7`g>}y~|KOWt0dJ5yPYUt6VAxh{)*|dKG*Ny6kTL z#%4oF;#1aMl`0>{a0OvPt>b8s^**}#P(kGaN_HpLD*mt@M14d_(s!u ze!~y3IhBKJfAs|TFLrYeY%8-;V+)c+f8n}T&F(g<@IQ{+(;=_ITnan!GgT@L<7A$y zd*$lBI+joDBa~q}!qN9OF^<O+yTorwCYb5otnH0kb^M}OM^J^~exQ33E0gx_XmdSk#6IRKXd^j7yk_! zo1l*&`IbE*T~AI=Qk6(rSV=|lbzSDy-hk|YKP*8u9i$ZYFw=A2?>?~p15TOXhVKWT z)}0-huUsE#rt6rfj*M1&=J8m+O(yaYCnYweAFnTE&i-I!eCp@f_TYsH-cK7 zn0ouGs;VSk<*DVE@gxFu1`LSHbfGZkt!`j8Qw@@-X6vbdOai}=JL5&vzSl^n@;|%#7L}Y{j1o^oamc|t)&hQ#+Z9dNk4UYe zSRd&v2lSJt1RFVjb;NQrB19Q;j8%QDmSl-Ol9U{jSA04NAf73Pm`EYA7)wA{6 zTi#>XO2b@EMwC=6xvZq|DTjLqNAUJJaS?&og8W_NkKC?&s&KHP*Lp*sTgRt>9ydiS z>8+tLz(}C6mdI=KvSzvsG=f0S8NerU{IK~T?}3Wm40k7fjsE7Do3#;Ud?x3pCW>Ky z-F~4qMkviMcxYsqLQ2Vg+Lvl}7KrGeK?)xJTPn;OHn*;<&sVr^c{SVgFR%d|>QREZ zbRrpk5UHHdy!lw6hu4f@c)%%FPt}N~Myr%oYl!wwLa9MKmY4lZbkDlfGSngif*s|R zwyf_OD0HpevBhg(kL!+4N_s;^wc#iLO#Kv@<)1vc=iaMGgchd-dVEH5T%@eqy<(l; znqxG0LPht)I18#TB0DU7<|5t7)^2ZlPCoPcAFK8NnRe;t5VLuh85yx+adWG1oJlND z%ASZ2nOGyxtqPce6(oLJ~QT+Za^IM(M~*p4RBTfAc>c`#H)X zVSOr?HbXlq5*_)ldhE^ti_80g19AszrJ(HO)JR1N;+GN!B=#6Gq7t&i$71MTfxa8= zKfS?pM*W)h^tK;>}XZu2503j3q5H*1|;8 zShE}1w~%ElgI4<#k}b=KvJA#Pgc+43TXtjY%ATq`~J`AbUHexKJ%I9 zxu5I4?(4dqd5`KermFa~3NT_5zNfWRIhA?sFVCW+9(;GLap2T@?onkEtQDPhdL>F= zb7W}m`#J#%#)RUZfJ$yza&zuKC<%Hg-kIgB7pHb>aj2PF)=iBHyvJ2(*NB|r>!Z$~1afNruSYG$F#qt8`@9G_cXXnq=${=Zin>7J%G3d!aIb& zA6F8^lF5?nCg^7dx?uVN#HRx96dvX7NlI%<1&`p~-w{c-q}{O0d&*R^i8%H`HT0V3 z=KG9fr5mc}<0!PisfVpp2z?oC`l-JazR*a+R4R3G%{S$r=qr0&TS>T~7dGlLoYmyx z8&=uEV*Pa2!8=%Mh3XsuYl$pPv;nMv!07pKZLGYih zm)d4L3B*TIB9i8sIieaCYS|#jtBr5tcdKPMj|)dro78O4gYV2ZRDH9^DQ^=>eW1s; z9$Nd(f0|{{i{;KN_7Tkyt(+O*%GXMQlhnOsO`m*G;9hU~R)q7f$4n9)?CH0-Hj|Y6 zOQoivM((?)qr$Eo4SMC*U(P6z8mi&z0CtWsVk?=%*zRVisdZ6}ACu9V-}j`9?P;NQ z-DanRJGNY#bxPa?Z9T*Epe-FwPI25;57`$m|6PuTUjb_$B7hoi;)`?=3GAq zKd;P96w&@h9>8=n7c3vBd16oTx2 z2y~cDN&N#NTD|Qgv#|u)+IhBfYhmpUVTJRg=^9{Ke+3)q;%tqsy@_Ya&4@P>P7+1A zI?dabN)HRi492NfMF#an7nw@}V|?VaAo{XPmcGEtsZ)62dxMrH5{XTnVDJFA9iSKB zlr`qbir=CMw3~V8c<$j%SD}xU$ylpT6K?&SeeQKa5m=MK!pR9vv*)Nk`;z*yIqQl1`4v~X zJ553fzY`}2Q9tIO;y^<7%*I=vZJKYxGAWR)xd&=6r~n5e5di7w&P(e_U8L=V05LrI zj`%9h6dPtJbwb-im;GMO8IE=tG6UbytTV>{u&m;0|-`~o$`VQS_MghP`t2@R zx-lfzs~Z51d4UNFNXi0YYoHrBB9Jub!t##yQ8||VT?P<(0UQm=G2nqfCzsIg>)|0y ztr_P%PyEO#dVXb)zQkW9wjT$K zvp}~SF&aZZ@!Rp|K?jKx=b^218s&+v3scn$|{F@z2#xXTi=%7D=j8T zdiDCyX){6T{IkR$*WHA4Xt>t*zGjNWC;G0*lsGQ@7H)763m#X117*+K-s_+h0Q)hl zO2DvPW(s#Q`rdPsZ(j>Rq*48*OHvp&T6UMeInV|clISGm)q;qpPrbM~B~NG*MqD}Gm6xQ7R4K^ASmyjQWn@f=V&x}gfhRzpCzlWa(|JM~Z{n8~jGK-;C4Q?rk2-0%1Ln!x^=IBxP$_6*RlRie?lYUS-ZT zHibx}@OWM1Vb|j2EViCW@2SaBSZg4`J_5Z0`2VByE@Z!cubWd0@Q3+tP0MKWfL97= zX$kIAh0hH`%@vPl$y%uSe9d8rGXdmedUCu@Wv}x)fxPm7c%EbjkLdR{__J6>7k0y0 zku66GRbhKq1xOBFS?1|;*?{j0e1ff_j66TMdw#uSKu(y2IK;!0?r@C0Vl_&diYzfM zZ1ZA&lp_uKp;Na#vOt-7aj@y_`5p!z{o(Y7cc|W0NaKJ`wKv`WQFn=zsZrnBci3Q! zPI|6T<-LUY1%_aD%~v8*-!EY(S62yoTLdu7{)l=m?0Bmc|DMsk*pN>A<(*KO<nex`D>RapDobF@MzG7&aAgasm2DtXFMNWUNm0 z$ClIbh|2!SVIOFhDf19{@y8!!)_{ANKcI~ON{)aAawbB_ZLOi-LGgCJQfZ?QAIEi^ zx<^?cuYaN#7Ymt3G&{M)0G%)V^)9gztSatK1|uM5^8rjs%DzYoh*d2c0n`D%04c-#s+tP?WEyll z^QG|av$kbjjS{r5l~}}(_G-V6G*YM7a!0w>!#M3SnKK~g&cWgLE%ox_SYp6M%a!B^ zdfZ&RZ`6K)?nvi{|0S*L*%Dj&L4_$LnD(JpVMyuI<&N38r~GM5Dt7)#R$kJmJR{hwifGDKt%V zWd!RsV_^49CmjfeFEVmAE{6btaTOC6&s$vFY)si^4g2bZUv)>P8_ooCtmH3_k3Y`lV0Oq?0)N-IB@T<#U%3JI6Fnb|y0Mp!l+i;+v-f4e)GtQA>*(I$_0D8#TT9jvq~^?|2;w9T&uecgT%76o>MZU<_|kKk%7?Vb-|>a9^EKCb&n+Db>MEVB=;JYsDCW66E5Lq7S!l%P zdbrx;vWll=)-Cew%Zuw% zzew32W#)jw{;sK?5R6Gn)2Y#Q=Ob9!Nfn@IPnSP%KUYr97tHKRcJ;{{sa+1)KUaXe zg^%@5*4C;f{hv)1I(Pk`%G%xxIc-Ki zxe|`RTiU^{4~vEhl$uQ?sUYm{2Ckw4*qZe|RBUoLb0+3YPF3E=n~T$OLW{_*R{?x_ z61Us))B!^=lc{G|dXI=FlNDq|#)u$Ls_z0oFu;IgYimnS*8_T5(DH-EA3$4gWV_C1 zC&3(Jt*VwvH>1xEE%_}McAB?beNv+NmO{v3UXoW1KF6%i(XS9)`ugAYUw2~77bo`j zhJB4s=gE(}m_xsRgj$`cxg^)i#dp+UlYvXdeuyRaDfeSZnEDS*Zg>Rr(a`2vla^KP zLI80M^Xk&f%7&P5Ix6I6AB%mI2W+G&#*lr}m+1r36Z0Safr{?Y^!yy28Lw+qGWxEM z0Hhmr?sCku#(9zpJ%EuQ0i?VH*rz=_*hsG2`dlJHzfqq`fOc&_D*FK!O#G8kY$Iov z@--YLNUDfl3zz`eI)c9k{(N{AxQ_R~l2s+10J8OCwu33Kxx0)5|5^at%X^WL`O`d2V*NddL9s`Q>1xLe)T9ha|n%uwGOI z&PSF$k2ql_&PYJ5X;74Uxvpzp9Dv_qzXQ9N7#A4wCrWHF2NDPErQwlJT!A_&*|HGS z(phgPyB?CwSnBpjU{6RN+yKHwk*ywe2dD*Lbffnl?k`h&*BuRyE(G?qfc`xB-&XBp znCEY{A5|Yhel&92I%e1D;@bEGDXp1yTo&RxrZ7P$weJ3u!ae5+lk2{El4C_pO%HQo zVVS?`h0PC!x#j^kAX?1JQ0>+)7-j49UwF^0PV8BYJ7nA;GV24 z0#ZxC!->=oaJanSyCCsoJC!U=!6ITRSD)!Ie^rPJ4PXyT%y&BpES#BX>V7j6B z?BwN&3C}R0FVo|VjaZ`YRtd5{l}K!V zTsjlBtD`KWnT@lijr&|jHCX4b^bkz5NR2)YD0kGdeMlF}tL}nx6an4qo!+E5E7lSM zw z->tR-jk;qAaqme(?q6bS#C-+p-!D~M`{>sX5BcAJv;SI`Cyn&{%!l!0_tI|S$@tJK z-SD=oAt7B9xrjP+-WJd;z(i`wGK)w+5%y3mMST1mjO$J3C{K?jp3zLH$3eKXR}(9y zJNWIiW;!{pt7lDYhUDLOPOmDN3aF|9+AIl$3^p*QEsrKf=56owvMLWVX5LrPzp-*B zP5AoSGwnwXVJIob#h(G$_Ai5sJevax)>9UJ0D4+}Pg?h|s-K|#=;Qmp2Nw!G+6bx| zVV!#2vLQZv?ywy=VoV*Z5`_nxKeb6WP1h*GF5>A6A{B+^t@C4zOC^Q%P}w%@PWK0Y zX1gCB{ZOPp*y?nJ%y1kd9%s&jS*DnUh)-SV%amv&~Cqiz{rq4L1X zXLF9#RM(Arw2Lp+m}rXV2H?N#`aNXmwvnK(bcf8q4$+1zXwJb<8&ayrV>t_kw z&gV6gNbYFc&0Bx8_#=4Ob>3T`B?@9>oLkMB5NHun5+?B0Y{kJs+V{megZps1|DCRi zkO7}utEtU8r=29^v4hp1Cg9Hr@GYaUhsCeotowU6>Dm@&70wS=33B{VW9y0g#mRE3i{oAe zQ`8$6!?@l!3}&XgRJEfH*AG%UZ)*M$x1bc5wQUyC)##(o;@u6N*!#`M?>FYxzo5cC zyIGN|tj+9>hfTYcucQ&6mDxr9nBYmms(iD-{_>R!H#llkcb)p_anj+3htqdY-s^C^ zyU?uDd->pR8Aa$4_tZT4Ij_;n>5ub=|cL z*ZE9bH%pe!0(G(RBZ#|cbT_$`f)afxa6<>JoCUtA--9U?)1%KZPwZ$TF!bd2gxSCAXOAEBE5gnMz$Rvr5M-YM% zrw(RRH@~%JO3CXQ{()v6oOese1UjYl^^g5~cDK2u!<}{CP9tk9Jo-0NC<> zihjLg)Z4m0D!%v-vN%|ojnF^hz#d&|uI>Rxb61tmee#J%(Yxk%3d7BHzb4h<&Zdi| zgpZisuPO2&?zD1_INTR9Ddy&i;O5a}7gm;4sPr7#YI8l92Q$#c)N%(jyqkF4uFvN(>XRn|>N^CC$$G!OjVZX8AoG;jVA~mPcy~T8>Lt*GT9Wb~FC< zs}xKYUa167xrQ^jy`@@+sI|~;!rtOKPeo}gj}HEx#8kFNN8RTt=}}c8-XWT4OX!GG zl9qsLH_IovM@3d9c=!x@V*IT|IlHbbi0i z*so4yRUiJalM@z(xiDXvfSx!YiX~I6K%r>h^dfK%i^?Z1E^-pk73A|W$6fNR&AO~)sMib3y(e!BwmGe%^*wSECIuA9Q*@<>8ih-%?7>H1X_xuq?@5ozL0B zIiU3I&KXwbT%jY_NGsv+5qHq1fuIU7;tM4K4<)dAoLzKf@8aYj)<7;DNAPbFdIHwF zx;drMkpr;MN03W%c#8p>r5BU6j_NdR<2u+JtZGx`?~QtJ{KU<6nQHWVh3 zmi~4@H@E^SjIQ()4EAI6v-%uu%dsc@)B!ORq$S`ECb32mZB+o`r$047Xc)MFWZ`UJ zfy{ORDIGPpafgRC%N7Kr!kY)@sofK!m>#KBbSTyBrEEu=S*WBxp6CgJT^12--oqn7 zBhsH8tG6E(kSW-m{RpnVfssA*a=EiY(Y;d~=IHl2)W9seMkYB}yCZZn{1|6-2u%%J zu}D*^P`6EbuLf)C%f_-*d&;Fny&d4x$$?7^vgZMgqI{!t70xguDCA;?j8MTG0%luuHRKxFd{n+!f=?kvuR>{<*7Cl_>icuG{EHYin8m~7iHua>0&5!Qr)^_oZ#;ArHD@bsHr-A8W3b45ZU3pNM`3{K8p|8^AS;s_ zS*lTAvKVutzibuTmSwFpzQ4cTG}fHGJ}|N)6f-?QGzMyYs3-A9Fx1okz4SlOPH6fb za1ZFpn-@iv^Br=O6{qJ>Pr7Wh`YO)R6C#|2JGWuRYBcqupT3B#pFD;2fXvJ#lsQM- z!y27B(Qp3&e&npsB5GwB;)yBeyUN`l-w&P1IOAHfKojZ?aci7KN0*qf4faskKY@KN z@*Rv2%nMYyU*G;uT2c^;qKJ|zmx}e38Pw2&MJ2LhK1MGPqWAr$^UK>2(iS&*JFdCX zEQ&bqMku@e)FHEb_eN7LM+=*LjURg@q*;Otif$zNsA|`Pe7-dEixR9Qx`VrmBtwm% zFD$f4vj)ThX57q%27}q0T^hq@*S+%tgX>$UBZ3bnfqoW7)BbTLWvwnJ1&t+LF9>dbb9&^o5WQ1LeG@fwd6eM2^uDXmI(aMq=* zo#-l{CB5Peu_3T2Bseu9r z(-@#on`~TH@0N5H?En|~KYJDQ0}{6PBK6<~v64bk6eVa9@17uw;qi<-n68W{mPc!u zWur=3CfOyaqd&Zw;*Ht4I`D`%8T}Ha@(vE<#@B&BwS1Yj1Ed9jMH_DS8s$~KQ1S?s zK6vQ0=o`lxMfKTey{2)22F}~WGu$`X!|*%u1DY~-p4R(=xy-2-pC4-#SoIqlksIFE ze^85Y`oAXwIkoLzX5ZO~6&F5jc4WeKEW2D)=P14b?wmQ{I-f6!ag53}{=yQ5?~sE4 zOnj#@4xi|-7`nw81)Gz& z@>!DCbXvErmz%y z6xKzi)keOXlH~TsrrWJv^~|K%g{s{A_TS%y*CurGn!t)|}MH!phSqjW?6(dI;ukKO!5UDE-o3ppo4-9i)5`hoi?a`)p? zh(6j`;dn0Qup&9o-4W_S-L+-Z_�QkWqYjCfrK0F}f6{VOJ76p$znNU_iBR+yetC z5cqdq()y81k)g>XKjz+I$ZGh>!~edel`bGBC-giBxm|aKT4VgUGCR#Lnx5}LYCCi! zN@CXc!&<1M%ozvvC#{>Kqi0fI^#mIBBnBGD#m}YpdERN-joU|JFo`#g+-NO8{wL&FD0nbPj zNFIb1!1S1pC#{vgiHppedVcsXAAfVNE9bS%f0AmgaVgI0FHv2s!Yzza_r6aHeUrQr zp50(5Hu;VxYC1qj6Z_s)`AH}1_rD&ah-`FVmjUJnXAEicEU>ES<0V=%7=u2A{IM%1 zgH@L<*=_Mfb5|6%9(6ZsM_Dp3yO5YgSna#N&e9tjz*8!uM1`L|$qM3%|l!L#zAVKxOIrC}O!ilP|4g{WF{feN%y*ynlXRB#ahSkSuZYde6Fsq2iIiE?rNh30ca0(mYp8>f}7%&~GZ~fm|UAKcu)pc6px|@bqPCn(7E0(@LDo|H;4xh z-s%jVrTOywd%JpDSo(ACIEHvF^1Cm5Iwh+w{J3<^tp1naAZoG z)98_9#24>IbD@Elan2rfa;MLa@Z!vRnJZ>bZS>2o=rob+;&wnB83$Ni`&v9BiG7V2 z`)GDa)cm_H&RbM}EQrXML+_`R{qMDJGJL*}%3|(Yw#DTjD@4&Esl8^SG5*!qt`0XC zt>RsCr?5gCt_P|mb?J*k-k|xfddiB7ALloAhZ$x3^+~$w zeCDjVtE{DBB(Bl0$)IMlPi9%8*hoVBn<2Uzg-}~DQOwM`RQ18H>%Q4)>Mg~rb;6nu zcyh~)P;-ksriCfVM8-G1dj^!;#E|W}TuLPwzVaHLcR6nJ(?sER{lAo$S=V!sJS>l+ zhP-&9HjumO@c47s+(k>7m##CYL+S&BUmsiUY8PFEG7`7dg^TjsGxh;tO;m}P` zThQ)q`BZ+gMe;w(+`i@#PcN4i>t%CO_Lfv0-=;t@ndP+vl)Iwe2kzTpgy8Inhmcck zD(tGnFq~3LHcpeAERr&^3l41&(>5pKr5X>Nh}90YJ5v)}WmluK?IjV#x}NpQt-I7?1c_D zq|BNvo2r08MB~AFabh!Pd``EqZ@-1E>AH9Ph}ZY->*ixrh7XeZ1|vQ6xyznOoCAv2 z&c}?Pa#qc#5gL<{CMEM1LA!Q%#n!6&+Mi22s}Xd9F=t@<+WFONhG{B|bF=@}K(I>A z0~=Y!S6Qjg&R$o~mop1pv(Wl7z$zS;{s^;kc_yCP)xV{v{N$=mDRnFW*wscz?(I-v z+qNL~lkO*9Y&-&U9>CzfxOv!1K$LAVuGL}QB=*zXr^?XJVmnmRrehGbbRIESuw-&a zjr+)^)F5`zir+$0OP;FHEon25beuWYjJ`@TJ;x_S?$nDWm;00|wcKNA)wb`yJmP{y zIlDG{cpeh}k4kiyb6;!|8d^jE96bdd6BuLQS=g*h*?#4&W!bqHl+?4xjKKuVG2^x? ztV9s#aO0tPAA7=JNTE-QHdLIyMHV=~;`#5=?(%qXY&7Vi*p#l72_}nfj^O-GfC2VE zuyjD7bQ#PKd@8obnGldF$8rZvjb`_Uq=1q@wmS9y0OV7c`pQ)Y4H=6W0 zL^``t7%rZTLCO4Itp+f(Ye>ToEqc!}vC~`8wb}`BT3?DSa8~JCzLvEzZy{R=ImS?t zhcZ|h1A|-~DZMX~KH}4}IF=xsyGR-UvXr`U&=NL|jag1j4aC4H4NFv1R4G;v|1_b0 zsuFWVY9UI;*x<;5iktq`8ARvke3Tz-MHTIjs}LJ;)VfIRB1t2y75%JeWxxtlcFnSOnS+Z-4R;9I-oX{-7*dzt!v%hmv}Bw&*E` zjLg}G_!i<`$6nl7NooB$T?UQiTCQsan&^g$$v-(I$42W?heU^8QnXTfOabLpUs>uAqzW#Bn=WKedIw5YH>@T>rJrG{afOToN_+72@C#+vhpifI|h;K&QL z&WN~McLtYcJV9As15TLa>3n*`0zsd_Fa$@SZ9gQj^&iCCO&+5xaC@1LwJSWgwzg1K z>CTXl*?Id+R4=x1_&<2R4unq>s8`@Fx`bV&L{}iS%plLhn{KbZSCL7e3~*jtZ!#|+kcK{dVu*dMcsv0^H_KdvLM+QuEuA$=fd&WI7PLZjyu8|- zYHphAaaKEP8NGVg8i+V;`2892FU&LJDvncZl9F%|g=&Dda4G9X^n2ON_qv_y@N(@4 zB%4;-eNg8}l3AGm@4B7h_9!xrashttwW_koCT0L?ul#A?p(bv~wMDJ$KkWnuFr}Ek zG-8#kO}|-ZpiE0ocj~4xXiJTJ*YninA~n4AuwV_S^&F&PTkLkyMIMH0h(qAR^%jTv zAk$DESVH2(V0I7Okc3)>@ZNq>B16J%t<~t6 zkj&@LK)Fgg5+vz6IkcmT&K6Exgb@h7+*QiZ3tfo1fD~zn4D)<7eSJa&%~7jIM#1Ty zgF&d{2^jZD?cFVWMl$niX1Q6ed#0knMJx1YdQNSTNoJ&l(2cgFN^fXU#KD;5I4b zZp&e7dn@5{Ze7L}gemRHY?dxZJiJ&+D@3NW>&X1JpYLQ@H2#rnbaaC6 z9bxR;wu9iiiQS@>`OYK%tqIJ}9fZUnbR-IrZWt=B{xnxQuZ*p+$R|4dPEaQDS6~wB z6{Ae<3Z*CFZV1Aj%MB8X(}eb-@dD}Fav#Po#Jtxe9V^E*DgA4v6aCOk-z=H>*}9Nq zK)zwXOsAD2U+Q5DnE*Eab=O!2c5kEbuH$&Sk__&0stUx{X*d6@MMm)_O388^&FTxk zVbVSA|MD^Ppp^sx`gDGw1a#|VaLX1GqTIGF(h8U(@9FbH8p0Tar8ZqmEVYVyZQtAn zAvVY)M`lli1t#Dfj8GKk`1-g-GSZu#??m5B1rFpK=cQ+l9FssseZ^U!r#1(^jmW)2 zq?b=Ak=Cd`ia518c0 zozX)R^3-3x(2$1!HhAwXDj=l|Ym5V>O(@aFGVEX$85bHj>)k{CztQTxvlS)_VT*e3 z*OKW`t>m(7>`nAr4Cmd6poV0R{uQ!qY`Rmkq#~yIJ+u0hvDTN4Q|ICkFqMvz`7P%i z)MLyk&q1`}sYBycXUQsV>GAYu&+DNY-kK!y{F;)7YuseNgNF?Id^ErRXsxMUIE1#i zv4Xt8;CL(JE66H+WA*OQ;FAKFzwY}gTIBnnSz_c|;BrUs|DhTXbRZ6D1rW>9X+e(? z3F+}^y({E~Osg3!&qI^Y4ksFxC6@67#6 z<_VH&NrrbfN1Jg=A>f~gBqrdCZMwg^^h+#kBG0&=DS{ZySCdpF7U~yQ^JZeGD@bBz z+J6l(?X9dg4k?CmnPIJ1@7JayZ=pPH32i`it|U%ZAx3rS#6NX$-ccrFc+EX`@>>dg z9xtw;9%#A=C;f!f=j)D z>6;~JhnfVgc9vzt3dh_T=N+}C+}qT6B$eyxUs@ktMc|3YIiG6hcVo0rRFMfrtX794 zyNy$*`+<(DrQC0*!J#|`|0)@VIe|8W1lRGZ04F1mJv7-!Ku_W$&j(Cln_1+{R>0V4 zXPrT89K(}Q`M{p{6qsMAm<#E!rlQ!8aJZMT>!;4*Hy+~!!e>EzAu6EQwB(QXi}OYV zFufpCvVi*5f_+V6XvwecRzS`C(muVhM6b9O>uO_+e%I$$NYd8m&knR*meY~%ENIjb z{K`D)9kQWhegv0s?)Bl5$z3h3J2|UIyz&QKubPA=L0O=88ACkHWbZ0kSMaF!(?}OR z5dR{e@zYKO2I)Gvrd%NNkhgtS?E zQAY=N7l_^7{3H9)P*T#dbJfdcHwF|$+*Q@HtC4h+Z4?m^FMR!jZz==-=aOdSRTU=Y z�J+xi6b$ifVYVBHDL3-!nNyrz2KAh$`sRGPEg6(BectgCMrr<47||-)K!42&+mz z$Q}C|Ty#X0NivAg>i|RZrrS%=Xkie>3v?bvg?E9_sVPd-L!SM9IZr~bux_gvABV0w zt9oGJv(YNwKR`3d+wQJjixbN=c}*66%@nS1)MEbQ!1~;aTeJ?AigHq*^r7=vo8Gu4 z5hY-oUINZ+pve)>GE)1VQ$j_JclM@|OqOF373#*Nv&BHn@jhKHkY9U8{7mhUnF<~P zGRU~8x*;dyT1|K@yoT&hR79>gS-;B({O`wNzspQra<;qsQIk4J=AMEIjE;8n&<8{QXCSqqfI3ndW5PeOlH>Pd+ot4YvWZbLjfd2S zJydylfKqWyWwp+EJh%1?rY_~5dIQElz#O#nK#KlZLo7l}>qC=}=+;H5j%EJTz`EKN zk{@H5uR6N!`$1Xh=NDF&E)GLtsqd&iz&iSRibtExTo~n+zZ?rAj(WBJHqE*nt7#br z_yK{0!9a^aZY3p89aqerFeb6$FBEBk#DmC7F3qOBbBJYCN4U^UfZ9{a_t z^%izj)hns}YGnujIiG5NG}%+4lUCC#--3Tcz6Oxcxp{e<-vGYOKo4?0z#AGB*VP}P zj!{<2lR5wMacaO+i{&Vbh_U^~mwA#Uj3g=KXy}zCsdMlYQ`PpF?i79cB@(S}xsqKYtki>2UiUI z4e^$4Jtv&t`pOD!Ow~KdA9EVU{#Y(Mn4Nh)ANt*6Kkj!L(<-{N zF{R~4z^Gr+mFM!hosReG0-9pPvR}}>pXa5P+JeK3uhGplJ%Jm>z&TWz>-nn&Y076ufOg{U7%aRD9`l?6f@6 zeO83cdh7JUo+&v$LlvM9>W%JLeO*rovwjKy;JzznmZ z(2XvZFtcp0!LgYdVG+%IxawI4b=!B`WknP{V2JXX4H2tU*75037Q<`$de*B&HwS5AV*Q)q#L|n z@`yFNl2ZoTwIe*qOkMa{E1Sk+|>5F4&h%+-pQQvl_5G5V?O4{2mc{6jQ7T~a}GsHVDTUiHLn~LW9 zpBYinw)SgYh-Pc=r5?m-WwFgw}}c9sLCo=7_*uiw%{sq&Qw#qWMAXwp6RQ+nI2amPdR;t zirJ5_{U0S2^Zf3WPVXeg8r_P9Q2c@u4Lw}~NMlGO`taTKJiNL4SsFH&=SYDcuykWO zADujvJYU+$;>9-0&aJj3OASuY76BJ1fP-*`05T8n%Yh33_RW7ZN1#sz1O=dy4NXEF zl>h4XTI~F=QjHLqh#rF#7kU^LgX!-b%RFzX^B=Iq)&`sl={V!x9UM#eXJAP~y@*?7 zvubwLtTJY_B4U?ZUO|^zVae-yxrz6L9fP^H@SnW9`i(5Z6P5<|{voTt+!HV=5Q6C^ z?TEkTN$lPaN4D=Xm2rRZ)hhR}p4T8*KnQ`m9h^bRUIC`pu!3m83Z5SYqzw@+b~6Tf z_Omc0YTt3KAk2^>;|(Io!S@WYb~!k3#YRw}xY-S2zL;=KE@3==wtmC1N=X08hS_BQ z1Yrm|z=|A}b*`=iivF=%lO`jwxU$L1QeRzr2O!f{cB}7AZno?Hf5MLYAiGpvB%tfP zq~;q0Q(NsBYQaqHabfN6KwT2`^}NSTkfvZ^h$x?WPd?&li7{P@B5VgZ3!PK+7iz)s zEZ8MzBS=yv@8D{4f}ix^bWfAi_(qGQBT-uN@+z5TsP&gpZxC)<26+D zufbIs$Wh{G$(+~T*ycOspR^;}5#m~He7|ZvD@>AdDWR;Dk1F6`6Lv`o5yUDu8KxmVzJ91+oi_t!*p3wU~zdd0ZpaIrzaOIoYC{JTARtyTtgIt&NK8x$h#{On(qJF^vtgj?+>n?~a=6(Qxqc}%wevCXcFcb2dL$xniG@jo6~ zU%*-9ee8~@j z$8)=Ou^AX&PShDi@0Qoh8@I^n-lNV{t$*f z55%1XpTXV#cyq^w#k0lZq;gF~T@V2!qP1;0^Qo1>FIOUv4CX((qa&Wm-v+4`z=kU(x$6OpbcxTrgXAlK8uvoPbQUG&?%*|Up@?0V8qP`Uo6gIAw zs!9&6tE<(BPEl4LOwj&|y-NEv`jsNgTiZ;&AK*CLMSXhL; zkZ>FFZ#$v^eMXnhYi>E*=$d7WS(nkU=yCun^gAwHCfnnHkktg_NaCw0A5z`OaoGT{zkYEqIT zKLe(zYgp|Mz9HMGBWuF8qtNo{IJfz*&cj-tJt^YbYoFapUOz19?&NgEpEFjp!cX6g z?XQbf4{3G1=5`yUnt}bdf*JA+yQGT7hiW8A5)>+$3`1^fTpHGf>xk!BPo*DaHVq8n zeIgZO2Q+1%HUWT>2r+RCpR#x&sdI(;c_j*IEy_&aG07_ndNML*jYF=b5}3~n~o zqKH2Oy5N-7qcxY6pTMmPP_kwxxNaE8+?;`~tFhgXVsO(pC^>P){J9oL1D&rJ_s9z^2R1Dr zWCV%!?ad(l!T@@O$oPJV5YVNsd{gS)q6+%4i=m`F)EJW3em$Umz>ZNP13`CP`%3cG z&n`UeafVaKmrYnQZINY{?_QWI(Yia6CsbM1!ZW9cXtG4R;aS1(P0~s7-v{@0Jl{Lu z^Os}T$%wA%slohg9j($=+xV|D%o??xh(}0%VaI4UeYJLx57^M>L6AzyI?-!1a6k=9 z*vK}-944Jku15!00yT+5BDjWZDuvVqXAdQARj}z|M}4sEvLW?sdE}=#>GL^sJs~}C z?X>Xg0x3cfg#!Kai(cVlWyU9}$ek=h2Fb)?%(;Q=N1>&(7=P6;K-CgvLsZpNxdJ9v zl}!Hoz`(cv-B!&TNB5d{J5A(sxaAwfWMzs-%~|)FxWfa5>X{H*D`4G=itmGi4K@2_ zz`iq!t-0zcRy1|7-Z=tX8)jsof<_zlNcS7K2w7U^U1Wm7)qPf(3kR_h>r(FMH{xto zQZcA(40kmC0r-iJBW%UO$8T`u#$X6Tkiss)H!hbAV4C47(7(HbCg1*_3AW zn(IlJS92RwFqkfzS0YWb4A6SO{55}T<<7FvhBp!wW6WNlA;8^hG=GIE@YpXC@m0Li zmWWJ6tuI1h)bx>chcD)l>*>kDx7(+Tro6c$iX-zuf9m%Fj5sv}2G}e{yMfDQAS+CR z$Pxlr&)MtTKS#T8&tZ8yJ+!FPY1}@5T;x8BbSvxM!I;UK*{ODfh*_|YDBDhmZt(mJaL^I`KIQ2X$#-0ml7R=Yb>UqEp zLhJfjdBVnu3?g`PiULycU*k_l%yU(4sViSAuI|RXnpNnO@T8D@WQ1L~U}E6T6OfJF z2$TutJs_V7Sjm7_D2nx3w6L#2#*-})>-Dx^ZMX?L3+zgwpF7-id5J_;Q#7Jd2ezCY zR%TDX+_Ug9iuk4@hzW3?AATqUQsO|P+jn!JrptUtXFGQX%v%k7-ZZ-?{x?Vp95#lO zje(u$==@Z@;kXoRY>-g*<}cfZaP-Dx?IGOz+-5k14`ean^G#=RMk|YTM@!<)k@#P& zymHq>w+6=8l~`9vTfv(&Zh4(WE41zHM^>gyonpNBwE+)DNO`wAi5Cjym}@1_%1e`Z zRA&i5OwvN62+^+R^)s_f4C38jhB65gn8H;-_FDi&O2lH5>+V)#TZ&66{H7L77BK(b zL~2$H$Z^-A_f;t%Sf`ln7e%CcjWSkaHeegs)9Xh@OK$V+P@1_kDRkh{a&NJjI1fB0RX#Q5U? z`HrFpo=*%4rwV`o3vkUDoub+}NVX83axLN?iZR??hF`ds&sv83ueznx+W{2C;#Rh!b6Xp&-W@Ocb8;E)>Yk+v zhgzhL&K-zwPZuUQ-GELgVybX5SbrA60UqpHzI8NCK8F#-oM*-|kH{yykt&;+D~u_h6gU zpljUrdNo9gE)j^B0fUtBALkuK19@macJtlj`(?{KIXV+cb?R315=Q2Coo$v*C_zC- zNfBu$i2)_#lCT+HZLtAo%0j6Z_Eqrb{7_0P`A41e-Evn$u6_S4v#=Wy%CX)!;Rg9XXN$_*&lIhn5vz8Tkn_fiTCm+ED38g0Wl`~igEALW zaCa!?&uVm4RvP1ze&4rKwvnU^vg0)y%|7ZFV`4G*uC;5-bO&UFa%WaYVp4`WKQg!CN-b*DG{Ivh7v{e#>@^ir*qUcxRtu7mCs2Jyarb3^lgQw;-hFk zd{}f?J%duaX!*<1i5p(7!Y7t!(!}22=J1FL))lk{p8G!36KCg>6#~AqsbIIB85j?P zJq7(MrZp27_hOhR)zv)X+Q22((2VunKQFtzlAlII6hjnV3tn?4-9V;MF{;`) ziY%hIYl!;f%NxQV7ol`#&ha**p3$D*V*RBS2dkE0LF%e6qs=0uq%`{iwEX3yw@|DP zlQ8jp%ROV&$=sBUHjN0vixeacw`g64JwydzhwQZ(s|OQs?fnmV|NN4lrg5-bqAE~01a~v7s8dFey$mcp zNq~?TbRMq0zah$BzG~SN6#|g`M|wZo%VS|E#au<_UPfmc#8hb**8_Nu&~KukSRbJ% zbevga37^-xVS!61{7Vk^zf1>j`(sMh{+aiteSOTv5w@cAl>uL*SmOhF6Bv{|SLV)J zsKW+tS@6Zuf|SDo-SjJaNs0I*)<@A&4%*19B_37d%kAr)b(RZvK&=%@zWr{HYI*Ny z-@1_whR^@TJ7&wRRkr=j!LL+;PQxA|#Z6BzTX=4N{(JL+#hWtt(PQKyiZqtp&93HKF{X~sy^Ox9K;D*OYNOT? zGqRJoJ|;$dA3n7zdQ|<<#Fm##ZHvGWO&@--#_LT?(-l_1$rm~MPuYTv)_v_wGod{~ zv7EL>^gnENUU!)k;C#~gDcym`u6+YWi{H5*l-rW~flWZZ{SZA(A-4+p^K%g+9 zfK zik!&S zsUvpUj}XLXef&W{qeMrAX242(KA6t)HARG}0(51-`D(@^#!1U|r*&g61y6+lyL;Br zN_?b6#HvHSDNusxT(?Gje8?#!)M9JU1dzPJt{LdxIz?M`H2$-lLfUHKs}NT9v^1Cv zkbzaFpM&h)$Bc}Oz#PZnr~}Ky$_fXI(g7teFRvUZry_k=kt5WJcjcrxeyiaVw0EO^ z0+T=sc-y7ic8(9oo6Q3cc5shDi@rc@-;8>%UV;gzLKfVPViD{I##=Kq$O7l1L*i}O z$xpV(qdVxHr$6$$qqsa@^Y`<@Jjy9UIrLySn%P1jZ$-WAA~Hot7UB*lM#a{9g_oQNyo)7xIbgjZZ-}shi=B?*3gD?l{NFZgq)>MCJ{-UvlC-f6(L9Qs^;1cpmJO(lW zK-dxx@Ox%!tdYJwuDgKkW`$!tRoVkYX~4k~b&LlVSv%_P)P$*StKtD#9{BY?KRm$N z?E?Nv2W|Iv<7k#{i{kjohZG(sRw|69xyt1Qw7-!K_LWV?SU8&H1dyGUnAi8XvjUR{?h}*wbC&7uU$udyaljxo{>Xs7bM~bZ!)8{m)7a0M% zDrll2r5~kg*Tct$bmk(99XF{6CK$6ag3aju%sh5z(AU--13*PNHg57Grnxa-MF<$> zQWH{$7HP5W^a(~*$2)+08?0ju(P)4btnOJH|pj9N}LAbp5;y( zGL(Kd$J6E+J`O**5lB}+m+9AG22Ao?I$_&8_oF?q?u!1T58MusY5LR^*om}Pkxf%pPohv6oc`yFu z#c`F{;bUY^s&cy0igt7zX!97*VAvQ4%>Q+KI$im|;x)NbHVurw{0`nDps?XV*V}nt zV&7Wa zKKz8Q7k?5OxEAz|k{#tkgN(4!x%XSXZj@wijso5pV5vcfVtC-v!bkRtNj86LxA;_;!b^tn;BlTJzbX3IB|9 zqam`k8Q}ib+ASoXnt*p~ce13bP_3xksOv$oR@DOpl{+O;lM$T&%GDs5%h{;EumyTI z{d$FwLBKJXy=JZvc%XsT69hCML2SWG0bBlv1+1u$rjzqthb_`fZPi8#Z9JljEv0E4 zZi~5!vn55pmaNkVkd_8BYB#@O%cS?U&jZOa4ZzTihHL@%Bevy$DbJvo`NS)c~XBzvaCkV4t@4BJc_z{0cG*7HvqbgOe?p; zcm_dG#UEmdw!HCB^KIh>^6QnFOY`C`y@4waV|rwDL^nFE27VX?IO?{9DM}7Tdb4hb zder#!e`ZhW@~C5|ix$ZXry8Y7rWrVasG6UcNuP}U`)ZB`5%s9C4OgjFUsNH=Jif^M zgKXEtom%0Qq0q9~w}l!FQ}|kX>hrmdl-WRm$kUU8RlT@)0?$;5H(A+~y=0hKQAXlGNUJb@`U}B3DG6&sb;A!}6>2U2M7PS;*mA(wh zp?;-UO{=I4&Fe)1e4aW_B#n8`rnUs-0BTBmKg~&iSdz;Qh`DTv~2lcgB^!!Fa~?(StJ3fK4X|Sqen=++a9N2^xOrCJ}agTJN_nM)55} z$=JK)u>NPaV?;!mYN_+agM;L-4tQrsQu4d=SzVTbS;0dc5)Pw>z=A9!8LaXX) z)$=g)A!kNy)JbJto9WPRz<-3QmOyJYR#=e?lc+;_IQM7SL;ps0_8Uw0Z(A7ECfHPU zC(nnJ*`a7crF9S`1`SZJfSm-u5(S|cyxB-0q`Eo43Ye}m!v!3&{xdC>IAsrBS3O|H zoNg^lu)2fcRv_t9qp^a0DWvPqt{L&L z=7u<)P^X;2FTk%G^%8IKv&L%0<$TSfcz1DtIiQiW2Yu+F&ZglBU`fG%{Wy$%c6~dSa&!2n} zF9*|l?mt3=jRj?<$VR~ETuDy=u_K$|(zxN6jQxt+Z1|=@U~T zsucyxmB1#G28+t&F~0EW`#pd&ARzjJ>xZ;5fWU#*^FmMGUd=JaZPdURv7C4qe;=%W zg9pf~0;@;hg_oQR=x;qgf6CD{dfrC0!lp!I=P&xF1P|scc+lg3APzSNxN2+b?VkSnZ zA5GuLf1;74ey)5HwH`VlmQ$T8VL2D5*E}%i$w_!YPj8T#JGuoF(O$j!45X-`NA2i+ zp{GQ49JI%7^OGJFh;7P-T16f{R;kdD@6M3`RhWQSicD&7=pQLckM*yxPU3X`8tbW5 zBLXkYQ9BZe=|)%U!nD4=fO}pkI}O$=S!(U=&+A_%#46^ut|ZZ$+T&X5Hkx>Zgi_cP zUW2=v9VtQqoS7xTS2laR0_9Py{Sq8pQN~hz$E8qbEvIH+X6KVJeSYRXiBqZm8`-09 zd$|O~Lt>1J61|57|M;p;<8!^!FCPu{HXZMncI1O=N{v%$(I7ViCq-V{TL(^#?q?1U zO7(U)NRe{Xw=+1dZ?xqw-5$EQm2HBjUW3~ z0m4EL8ZtnCx%)CC1iM(f1_zmhfMbBe585EZ!Q|JP4NeSTpBcQ`GEZW?W}7(0e12t| zq~^{#+K_LJD(JA=DJm$?!A+0}3niK|A3*02O}4E8b0PlB*15y42ieqBu@g%Kg8yDt zx!Mv8pnYh;{?V|Jl(m9XC_3M+SESDmcCPCAeVKYM(qQ#*agR^p8|#9mcOW{lB_}Zh z{o3|nn#%H7A20Hfr6=gqp=#5CahFfw-I0!u%7aA3Ev~*V`;}8)7_sxMJfsZCFru+p z+^5QaAtYZD1^6A&BR0Dnm=8`IcP_Nc2{pcbQPSa0EqNvT<8%lYyKK?CW7D>#a~eXp z($^?fqp9_8_>P>vJHHg*H(P9eY&#e4`nVrflC3(Gxll&5S-Sm?DFwCzyW-h(h*qjq zwSTaJ^WpxtEFBL~u}x9V$Ik`2&g$N=6PpZ6zmY!Bpnm&Dj(uHh&_>Oe4x_^ty>Uo& z>Ss<&PwxfA39+OF&?%{!k=qo4ujLQ`tj(;Xv?(t#&~V>>!v++Q8fS_hu# z$kl96%z(+JaaSPTbgPdL5I*IzUknEewMfGaxXI7KK_l=arKvTxv)#U0p{h}q|3MEV zRV*3MzR(>-T+@i8nV`~sdzJh-FV!nh-e||0zfw36a*28c~+)U~h$+%J^yO1l_8_)Gt z=&=N(zklO*gIG;b84!R`$Ed?y_7M|}vL^V@wC+YsMV z`;MM1PKKFKp~=m)N#fe7EOUy#Or+sM<+rb2Cc~l%x-N5s@Nh{Wd z?zSYD1!0W7fJ4xNXnY~ySdUCInb>u$J_1d`b^UQ%=!`(z$*H%6`FB@OD~+0Q%QhNy z@3<1`-P2QE5KSkGwLbf{WvoNME-cbu!d(eNzsVv_qDj8SkcMc<)#KmIWz#V>+~70x ze2|!^xZnFIk2{Qc9v-yXb}Y3gKNLk>SWhLn0?IDihxF#i_dFi^;taZsmK+fk5Y|B&I0hD=3qD(KV~a7y8V=qVG^fK>$1Zo<;Fd*1&*cOLTp( z-=rgpaXf^z#7mJgZ>@nZELdog;rmH}r_oCKGsU`HLL#0Pk)4LGe?Vmh)anElw_T93 zk-(+{@>t@u$|oUVNP-nDPXQfF#NH~FdVuYDjQ1$gQocnKVqpAP8n7;$1`-Icv;|=Q z!E97*O&3`EjD1qLP{G52f{dL2B_VGa$jM1bPi+>Pp8_LR$X4%rr8j&#$Y|C$1G>Q|*E6yU?sr$+Sa_KT|;cK6A!q zHIu-H>3qr058Tt0*6RatKp#MwWB`gks7nBR1*5W@1JH2;ex>Dx>XQTnnX!cGQplhh z|E%UA?5ycyzAiR&eQVo<20^pj1;KJRS{QYKgUn7lfOZWf%>F{Ks_RWOjNo*5a{i&i zMS!O^H81o14V@V<-r6s&qMdP*ICg4)F1L>zh_p<@$$VXC#O;IxKBQIXi^wXDPz9}V ztV>O-GM9_jlMyO^;UnxR_EHi;Khu=B1nvDTQp_kKYruJm8~apAIdvv0;OHhJh~*<( z{e$Ux-+Y09(A!MS1N$%e)Q7Su@v50_-|PJ#aROly0>8^H$C0;KD*zvff&T=`WIcYN z2Tez@gSN>VjWq`YQOi$=4?UKAs z;OFpqK)O+r{5A45og?O~f179Szh;L)s%{tXzGVVzx>}`UdAoFxRMzPm~ z`s7KmP944^wFf=OSG6`X(aHAGc;8gSU>C68vzlKgLQ85zyzY0sG{SNx%@z(XkntK! ztiTJSy9*c<0Gt|v8cdSX5ktL1J79mV4jlzV^=N!xUj&Q_x^r1e)fUK8GSrvG&ap7w za_&j|!&pvPzaHq{D=fRWqS{-+Y;mvSxf?Wf1Xeu1m_ zj(6~6T0xq()`5^ux?ATAW)g;DPCvJnjpREB;p>eS@=wKcqZUDVjQ-mvExzUxDX;4$ zZ3}+UmAFy%Q-&NdoY28_=L`thp8PFd+v6F%Q? z;i<-^M7KAm{dejF5yhzj36*Pc|68^xJD$#X)gV z;6k?OK73Gx`*E9w^YrzoGcxOk$0*=gy#Dw%gj?+i=Q@Q>1s?3uPjPwOnv6QEE-Uoe z@k4Ja^N4~>;m_2CmxK!KB@l{X1Y-rB=o@18aYAr^!S{<^Gojz*tQ?7W(~pm^7y9 zP2F6#y4>=AP&AFTW1-B74MiH#`S3LdR(S8>3XV-z=)#`{WNjKoKPzB<;)kRCW)v;X zHOgwGha>%k=2ihdDwf-NI%p^cuLaD<&ZY?fb>)XPlP$>%4)HQVWZKc^rl~*#JC5g# zuD8S}im6eLB_W>K-MdF1GJ?-6-#}iX^DDHQXA0Pofg-C&y+mfdP(m@k3M0)MfJnx#XNfq3@+m0_|(b|RoSP%Bc;1aV-&ZjHa~ zFCKUcfES*_v{BH?3V|Pl`g$6%8mpqvfrN1&)?})(7y;)N6i`^GtbTK)#uY>qxhZ;W zn5O55913b*l(rJQdmQJH;8Crh%btAhDGXu_${Wzk&QJCj>q~gl4cRJG>agr=j zJxZR~?BX}P2ky~wB}c`WY{P$xB+Q;^mq-Xn3%v)H4Mh_VD5HVO8#`Y=&VJ*P`g)8D z>MV0{*++mEXtL*G-8wmn?XJvUWyu7E>nx8~6h2kCC;=bh!~a zvaeH6P+;oF^0cTGp1Hf;z;xzX;k+Xdaprs2T03PRr06=`W@A=b17j&*0|5=l+5^;A zJ}h$m9Bu;QpUH<04**E)%hFcX0PX`Iqi??PBRGRfUwf{wM=;VO2fSfReQ)%(VBZ{YWoJ{sX?a-VtyoDI-JM%3$X(+yer1N>+x-c zfP7W0e+H{+cLtkzzWYyHohdXnf7RcWZs#Eb3Y0E%-O?6y_$zg|a#~pVU))R zg^XD<$Nh=TJ&}8tw)NGdsN(o~!W`SyV6p2Rgi4=dOA1mKoB%#;h_yyo#_E5m85xNA z`S~}ZIZN7mF+Qsf5m^sGr~>~0bS#iPFu+qJ&U687G2mJV3X{GU4`1M=aiG zkv$j3-*XSho)Uw-?b&h@PK=pQ8Cu44w{KRNQVF;Le1Lmd5KE3oedtVg7b}xH9=fVs zT<+|x7Cm1K zws|+W;%ZCkOAxjv&YmYWeox9b{**S5MN0grxyW3Ywf?@PCbnf34n%s8?R^kJK%WRK zLqt>7Rr+g!knv^Mt}aZyXv0_I4Ep0X>yY;PpHE4zL|OCW|E5adiJ#dX6fR)?I{jJn zap|rMbH)CF>uHDgd>2u6_~9DK4GQB5n5TY2Dyf?Cze|77OC5c`?A!y6vfjD~Hm|{W zEPcawCwjA(_-xkecjhO2tMA`}aNG!Njn)Ic6~EcRRv_EWs-}y;&z-WJ;bYgXCuB@r z1hiQ$2W;A@PuXsnGE_imtwy=NPAX>VkWI4WLTk4ClSBO6NUin24|7LtPq;>lVeG?r zqAL#8sex3fy8%#0gTs5oR?9$pul(N?opW&jAK`6I1b`G^ZyI@T0II_lBBym-^10{% zfr0w$yQIOH1@OP zu7VyALR`~UM}SIy|G>?5b2bnZx!$j%0SfE@{ConFI z7THbUFnTG7j0#Z;fvg#5-hckKE7CkTMO;4H4&84r;y{BpJECbUc#CkXf#y1(1*~17 zBOlJ+OZxOsPIlJ>ls$}m%SB@@V0@i$*4b~{07#8NudLt7e4*cklD?Jt1KXL{l+9Hp zV&R~R-ZI7$5I9Q=$bzdREk$Kd7U@jU5LuS!@QpJjbpgbN6PFP1?X**xF0@}v^PB=q zf;MG3ugnxaR(Gk+VjwdX5+?t$KtTb>5vqAK}k}Cc9vm}+VK~ch=6jgi4T5$ghwaRZVX=DVA2a`eXQ-&Ao&%-`C`K^fZ zE8Z$D|C-|5Tl^&08d!B?1~s$sS`QOv~H#~FW4jG{P4-m6U9yqx3H~{f3AyP z#91K$e_TAnNCU)1#a)A+Fd+Z}v|{igyehU<#4T1|C#opXF9X-nYPsI6c89OHekY{e zv+ba5?+}Qlq$t{(wTfkZH(ZEP*BtA#2P0H4FF~5CsEtWLV&Zlg2=azJ3b!QR@lt)@ zXfR=rn{O1@*R7eeeWw(=E*9tDWY{4A?BqT};EwI6ScV(@aj=^;n#dQCP$C4i7aP9d z@8@7c>YYX0u6ft)nYT_|IcdjPY7k||;_Fkf31KC*cPdG*z)-t&+j(O#PM|8|?DfQj zTT5%Xaqn9!sxP3;?A8e0K_%l{V^+>Q5r z+A~_+JM5}0@A^}?~A1G7yyaZc=^Vh;muJ4ibKAuP1{+uFImy!9XqEMrs zarR(hHOI>3JmA^9%V%gXer!VdYV*HyJCPvswJq2WyJIM~`Y+Xy%>LR`@=AM5k=q&E zR|MFvDh=v5vkD*tAF1H~?Ylf;uT=RrZ;K{f*hpNzjD=>fe|J`(qbB;bUqbnZ;o+?XR z>}Tb7Dvr?p*F^lRD9EBnzyfSVBRiAe)W?-1jTRbRVcjpNKd!-r@R2j`(^D5ByHX9G zDcW_ zn0uUTzDp(3um_fw~o z@wrVnfjvjN)K^q zWoM3fgW`q{;9*c6YEnv4ey4K@eZur9{$b`U<}`5Ml+68-944glg3S)2LYYa`4nwK(h6sg`9Y%S6D>@u*>HOLjL)XMKaSOLGs%3lybHhUmn2Pu z&&2|NUl;as$LfCJjluo<;YBaRK>UQ+qGCV`Ynp>Ie;VSfB2L49T4Mof9yC)3>zEeu@RRsdG{q3vD_Bc7C#c8BzHSBtG2Z$ zc#;0hcWF3Z#I?}sux3i%E90PX>7;mRwZ8k^_dMRSyUNb7MQaI!RxEU4DN`o5a?KMV zgH`U6f~Hpup%{1uT_ucslbpA5VQgZ8J~uZ;`S{=L2Bvg4=Iy*u!W40zqjz!BDWW0IKx zU~A~ep^u-2)_OeUzp2-5KaVxvv_#d2wtNw?wN`T-4_Syw&Qss~{xB3*s?Em zP`_YixDe)n+?itE`V^cTd-_?i`AWQwUB^mS5Mb?mLYdk=SNEOu;!=0l7^~MN=Y3gc zD_H+qd)6`1c3_FP-;}h3QZ}vBer~bkUH*}X)A~a&t%Kum*xD6)BV%zst9esdWBNz>W zmf91R@6kBqsSu8-C*A4yMW<_c)YB-f=XL(#ha4+q%cG|^&YRcoFtdGRQ#lyq+4(%I zdd8c#w`INpy~k-)->|gkQbhJhk$TZ9m2_s6q{MNTv{Jg^0Ox4>w?IF#@4v~vIY&Ss zQRtnDjb~k}{aDaRZAgtJVjLX!+HGxKn&)&HC|twNnZKS z7Hb}b<*LUIQww?uRsL47;hw4N-->bj46xTNk7SC&7EjWHtVSlgb&E1;O*+NRzG&dR{4hEL7aX!*#O^26QpFulNJP3bq zehC~U+oc5R&^y+cJWpE_qNSb!aE{Iu4yTZ#P7RbG5!hqDqh;KR5Xsf-db_r!4RFYi zArE7;(%xw)2dp}l0*EJSMR)Tlxl5sc?PaZV@7pDR?K=SMi}gpSfnf5?+m!8yP70rq~+ zw;=(Ppm8)Q*I5Cw6Z6h_J#>+-;hj<8C#B&Ui&-DJNRInwGuljJ&SFqtZ5?C(%N-ZIIgHuAb6UsE#tj8qO3wT9j2 ztq+&N-PewftdhY=!kz!}Fr)fiShg$rah@Oe{beLT=k(y_JMg5}CtEx{BqooxTs=*K zaqANi<&%fz=5Gzl#-sJP%7x%$PLF%e1(q^V6T8&<_)-%?8`I*dNfe;^*}opXh9*sB z-wagRT#qWw6x`18_?)b5(#rz z+SLAR!z}J?vtGr&gD-HNS4iP&duUf1e0^kwlf2b){n^A^r7(6#Ffch5PQ@ur1Xj9> zOG*N)e;rj>mYmBD2U>PUD=+MDpUd6W-6kjKkDoJRs=cwAK{=p_QLQaw z8Dfc(kxFzjyB-{rH`NL(DPafq(SiN4f!c(ZVz4-G=s5rPSWlvh8f-s7Mg?AhGX$=i zr0|YX{oU2>aW|s~p@xAE;66S;!7xgp?+Z_ybSu_e|2yqf{4nLuy0F66r!ghmd$$Jk zrXiu8FQv|2v3}n7*d3lvC{UThQWz6;SVlp4KEP8wx9_01>+|7PCGj}{U0ClVGURU_ zUu59i{2=hV=@Gc$+#sYuZ#~TSe?HRrzN73Ym?uw}c5yD^d z%wNc{pPY{sObD8#6NO3t^!Q`NU%)SqUYN7a>%}@!yly-w*$+KW8v8cJ+hf6-ENwRH zTyvXQZoFFco3iA2ZNY!6GxcwPb3E?YJY$TsW^l-sa?!*GqDYpIB)7p6@BiKv@}?zh z)~F!VT5~N!cT1b_B_pYOkj-RWul*WL0|T&hnex@oQ+GcFzR>I?b8U`b=A%mg{%r}b z)_&Hv*q-IswfU4{7q)XY<@DH7H!pf$xYOi)I>2Ye#l_EuPm(a3Pjz9`e5AIBapXY^ z1!DV836sMRDkABRQHKQHzfYE<$#;D07dnib>GH=`Zm`X~v8 zSJ?VI793Gk!rq3c1dRyJ&CC`mO*08Tr|-a|OI+{jrws6$Uox-rR)G6-DL5rpmnp zZCs9MG%(%O(U%&Plh;ae3mv-uLLO*nVr(Av*NngE+rwVRk?BDWq`s7*{!K?ed^D{mLXP>M zRQ8Cmqm4@+C{39JY0K?FH1e`_H{5G4OZq*mzX*)<6L36F;a{GCy%51R2ufJ{3)|17 zmH#-ip6s)v%p0e%lz(Y_^)(EWdm)j&4^EOU)1Y}RaU0^3ryL_XHybq%FHn`2o9%%m zcFK+M3d%Q11s^9S3#t-6nd5(n(?D|_m1p_5Rx3WhaU$;b3|Vf0Fh8~AhM63Na({)e zj0KK@J}~hNeIW^7{_*t%>@=Gu;@>rdQ+D+C%hWT%sBLr*($^n`h4}*JeeDp+h_`d) zo#Xnlq<7pMR%JSS7afyL?4GsPGbbZnfqi>fM3^L#KwUj2D(TJSNk~NGxpf`U67r<{ zE%7S(q0j119NXKVgo$j&b#+D57$R$BA0>TIG%eAoP>5r>KHk3t&L^kG)~olIF5rve z%~jJU-}o)3!C zK>071nl|N0DzK#>M$C$~yhKK=s%O1s%NMO^mmBtJcg>ILydPd3)1Z|4K4yyi7<8T& z_P@xM6VB3Z@56qSa_{!{knkhH0@_V`Bszh9OHhPh0*jZRuwQyqVx2%mC83#Y2V|_AI``bL{Wy2q`IW7FnQi+u` z>|8@j_f&B5fbP`YN}uL5^0CCW+1=t%Yps*s*hI0%KypnpV;EULrO%%nBrdB8R`Sqp zIxUq%JM?+PrM>!Wdx8c%{UWk`?I87~96ti?zVdatb9T{ncIMSVhdhj-m7;E0 z9LAv^gwgfCH`W=OyI9V=aNcM4w5gkC=|vVe()vo6khwwqv$|DM7_D8;!XQj6P{1s$ilRVg6D_n9@TdpHM0{F?$$!><-#!V0EZdf!u#QTy9P9+q` zC~_R~?}CoW^BcLkl6s^MkAE^tQ)49z%L_Ph?*Fi8eJ(Q6+S}{!)god+h}*+frCj17 z{apH*A|^{hTE!=_Ed%^d=BKVCQEdUU;u~<<0Wp~C$v5qiq3{%2q4;1VcuSQ42UO0n{x2P}C#p;7cQG3#UX)PQ3Fp9+h#ueuya_|Q@ z#@zJ+1AsMKM8;8a<^?yu$T{zYI~z`s0n)zb)lu%HIEboEuw3Q}o*y!DtW`|vOpZ*8 zO!8WYSf?Q4_#$uT725viPNmXgS?`{Us&rudj7J-Bu2MJV!+IDcKERFp~SC4Fwy(*~bD{#$8xiad@bR z;pD?c5X!)A+jz6LL;wr|zYR)ZPZ9*2s!L5nFQ6-k0E@5`?fqQUR9g4w(77;a17(;; z=b6m`vyiKgK8;CdHPcrr*<=o)2De8x!YVENHpZzL#~s#>g$|m(lp(W&=6`0(wu)E> z4VKCHebxhY9>(4zWqlbTlU$f6-cR^Vh+OJ?cur3h|GmqA|d9 zJ$Ue!#TSKq;+-;{9wghzsz$7n^i4fAN&7sUCl;|HPFznJw&D=%+eR}~2cFRS-s~)e zUE8hOJZvoj_S1y=Gssn61S^ws)IthJ$K$0&t_>H*-E^?jwCJ(I@({ajo>V4)q?@8C zbX67VbR86&)w(NAyh14|`H!g(z)hyYfhEF4(ppUhU~CHL9-v#`_$=iXvU>eeQ7=^xoDFv% z>2jLl0};;!-lwD12YPcRsw3j)?bLib$f9DXb*v2a5QgJ$h}VujwYPr}L>12RrVQ0I zou@_hNoFWuB@s-my}p#wjl4c0X+~#$5azzfASs;d}kN@B*;0}`S{yxB@-(RUU4 z0#$2X3XlMBYvdX<@!so-|B~TZu+#4x2E|wvj*6alh$V2K+3L{Fn2+zQ16Rn!9LQM# zEf^3`aV0B!zrVDT%vO>rC6i{4%XQNhQ3)*$>bLy6N23y;yUaZ7EcY^oiz>r*TDuh4 zdvVI8pQzXr(DX>oW1gIva@?Edo_CwGMOGq?>puvAh}npuS41e;r%~&YVK>nhavSC^ znm9AHMWP6}NA2qPBpZ8jx;^>dN?h9+U&MJtjkHnO#*;*p4`L0V>h^kn$e9;W#g_7Q zPObuZknmA!l>0SN)Uv-nw}+8`UxS2ALr`vxB2n!BzPrC$COJ`nK3xhn=*nNFIdbx* z!e2Q}uW5!-k%1XZF&}U=h@PbWdT3ahKX8-30V9KIhLI!>Za26&S&&7T@|dK!8WkXMO% zqrv9W+9#X*{ixcf4BU}vLN-;w`Kl#zEV)(0)gqb8wk#d-IUNE`OTI5}o z0Nt^&vVtG~y_7kTaA2I+`K^b_l!;2YNmhwPf33`08M(Co?5*vUiC)dPUmmTzKXKuD zvb^3G0}?gF=ZY7w&7W|>pYFB;`Uo&ndR|>$f}@h>$V|t~;nlMEGxS1^m`CdgagLnt zA868l>o4NDs3H+7kYtukK0sjMpLamFYuF$|UMYy@DO2*`OECX!TsV*mL5myY?i&=b zMpM72k~V2MG@f#;lb-ZYxe7A{l*7uoxGnOK_wbld^O6NCmFZ;N$)46xUc9~~yE-9f z-NiZWxdhv*Q*RKJf^5pr?r+=B%DfJ$sb}>6RM(+%-jXe6D57)jpgi-MYyNl3$P=+j zQCoMn{F|r+e1w_h+hkKU7VmhMb@XvkMPR*?f(i8Zp^EMNt5feg#}&c3_S&ylI|_?< z4%veK-Q529Pis~Srfb!^f*%#E9V&lbQ{equ6Fe(Fddwg%7i&c~+*(G^nxA306qk6Z z^tbTPGVMK%L@3ijJT4LCe0pd-n2$yH(Y$Q7wO{usJm@9l-hhP@e|K($x zv9+KGu4CiD%NhaB8LJBH6;07I-;vl#8C4w~)Hl3ld*B_@Z8)`Vzox-+5!H9LarV(h zoStU32=%TIx0kr1Pqkb>7x7-@^RB+u439UM`&S*O`ecoz`ubhAXZuGAqd{CR(Ws${ z`ClhbD9l|sFvRI05w8pc`5jP9Vz>4x5_4OP7QsTK5ItS_t9|UBc_%KUu>J;mY2ct; z-q;wbUPPK_?QHZd(Ph*;C1)%)-%d7kJyCwQ2cG}Q5<*Eg>9Mg}K{f@s^&biND?K)xQs7gc=_k;c15;{1FMR^q;hDlRX6c+8meKT}_Wf}}35*R9 zu^u>jldsG=N!sB#Ol3)v;khmmX({lO$=P+0*bS23fbb&;3OeL=8l&jnzJK^{!F4KA zzYMD&Wy=F1>P49z*}pw~R&#-Qt*s|(_^?FR&njLg zy0^9`ec_2g02l?nFL;`Ro2LeCKnU{#bc`3TZOk(R8Q(NsA|lb2uE)l->`=Hk6nDSw zGYoqOBSB!Z*@-1g=`g{8B50(S8lj2Iv4{r4d1vCIlD0?Qmz$Q$W1#sLADx$qZ`)IV zBNvAAJncVyz#HwX{$=r8evC?5-tc(b^tM4tnSFLBl#MmNI-a>_83tXfcnE)KC!0$I z0v>qb9(;Za+Y~8QlxgS}ER9W*i_$JAGLf1op! z9Lq#w0E`U2a%xv1-|Pg+Tz5*r)kh)w+O0`%-GiF!D2q*YjF;XVDCz?4cO_ejbfOd3 zpaDdEGP}m@m-C*xC9v^qY9tyCQf19$9w6(+U?{`8R#W9O)Ms(yzYzcBWi!X2YL;Ix zCqiyCY_xb+kyEgrA6IMs%2uD891KmK;0L`5QCakACa7+H5VP&k*?Vliw6F3sEO^P2RAw$UG0JBv!3Q?-WCa=wVHm~4i;F3ljB0+k5lJgBmb}mCxr)kEoj*X%!Yk%*sR32X? zc&DXvyowre_YrwJ8hCzB<@JpcK&>byVau~8?!{+#%gI>&6OpAWw=vcZG^GZO3jc;U z5b|^dXBL?y_iGocJ52e+XglXChP=bhQ>WZW!Gq2hzuw|T3M2TyOBL~7HkT__Dj~O< zrw0(mZ_!5}%WSB1jrQAq6rtTXE8D^8>SfJJ-uO2Rd|&g6YS7KQIYiBkqkRh0iy#im zZ@w!Df`+}!F(Q&i5`Zu1G5s=fz4>5=W@_I{Be0hVy3~LiXlP~zEW)YQj-Mc#LD1J5 zRy~O_;vAj1M876AYNwm;?Lqsd9_tC26@-E zX&T1M^pdk8M7hebtq`AwAa!I#Yby|k5v>A_i2=&<$a8h7-+H;+!PaX^MgK?sUsm{v>WQX|qyDG&bG4!fqP&wUQd!#_5{Il1#Yw7MO=CS38D$}P z;rQqc>%6x~tEQ{588d3X!<6IaH5mBnrV7ScIVf;U$zB;Vw z_WPey!9WR7Bn+gbq|-vFfiPM^KtxKUI}N0jZWLiKdUS&bOhOPww;<9jAtSzLJfGk7 zd#+vnf%;r-yWjUY=T#@?fb=!poSvi$AP9Ta7lnAn?xLGPIozMRNJrf>keCs+#iwXl!`%6ICQ}FJo>DuEpv6+ zxFF4b_8AeVPXqc6XY=b1-3d2R#rCijrl`mtimXaz@s0T__qCr7IDV|zT)gA+#UipTk`9<`#y#>NYr7>`zPzDI{fevtuwqvnbdo4ReU zps&0<|L8&+Swgf(6jE87EC}(>Lkb3==J=b!*zIJY#+%h+aXv7A0bAIq^kaQ=!en ziLaADmsjr2i}>xxGVBhzr9>1s{%krBdyf=*Lm_o}icsfc8Afsdn>}rvw`$6+!a}y< z$;ki8c!B3Rr$rSMs*8@m3PGMTT;>3S8J9Xz-cBaTr+9GKArY8RRg(6wIYs4e=KGoL zhRbeW6f~pna6MQST8w)(GYfKU$V&lMI59EtzczSjHbb3aOWuts_h)I3a+eWa@iOC;F1Vf+lFyxZ{pt)Q4$9Fq(2j78 z5jfJY2hSo{f5inMD03d1?2J->zic(47WDg9jg89wmWb;2ZPUM5Y;Puz1 ze{|eZ0^V?F7iLDS?BKs|dOq_1V6zdYT)tqUE#b|m9c0m8n0}^j__Nd_ZUxRpie}N7 zR|zP>jR|cdw5U6Z)_Ssq4i_@y(CuTVS{>xV>8j10Z`{j^3lG%sV4@G~cC#3aTMJ=& zR6e^}bn91xM`9o{dZi`|zyiI+zW=_&<6mdhpK)4P(oY$C-KP{+ysao(J@+AhN#!n< zJS>-}=WUqSn7-Ku74wswxzx5+X&Z6DJ%LiZgPX$eEGNwG-3Ycr14 z&!rf8A@qS&K_{?ApEp1vLkdM%D1-p}-#3xhU$43wSodgz+hDauGS8Ti^vhU3krGuL z{rdF$aN4In4a)@7HM8uS)FlU(Fj2o>QlsU1gkuDg2UOG)9m-qP@NUYVE-Fm9&C)J@ zVaBng1a~%%Q^`@`A5lHIvE!*=^}mxzcvDHmpZ%}t&3y_H@O?eo+tQY3{E+V z1Qb{WZks^-JK0d{aK1!y%Jq+}(khynuhJY}!rxT8m4bs3L3r?hPRLYEJwf!_4azf1 zn5lN@Koe(pvql!`g0840dHLI%^hH|FGAxGJm#3Zo(wTer$^dHi@?wH&c&#tHF?vJ) zrqL20skxgvtk+HLZ?h@pNtLx~kD#PkCOcN&)w;OgWNo^_LYZ-g-FH?q2UkNt+pdip z*Yk+OPI~1!xgS^f|9!jLuK^d`ciGq0e;Yuw|3kbKQzDeXkNX>+jIyHf7okwdeE?xM z@aCX{{_)%a7T)pnX=E<5Obi^nN0<%=Ak>Szzo--pxaTNG7xkl;Ux$SvR@S{JA@W8K!qaK|$aQVdVbrkWOq9OXc!jYPn``girvemhoX~E@>TbK|612=U9 zD(ZtCyMrjM*zY!VUz<9SjhJ{x*V6gxqs${{BicLdq2@kF^U&j{|zZ% z*F+wEQOnW=uM#K|?z>0LHj=R@(ZVM6!ZBB=mOp>k;J0-ibG8ct-(iW!j+&`d`@7+e zalEHy5_vDOD5|KB&A#+`E`k;*i0mk;S3c|Dkr&t|GPL8?<$myIj5K)VEH_#38#G-3 z7oX`)*UP;^dC!*4ABVX&*>`gX`c(1;(lLhYGBE7zGCfN+mT|bUg01>i*7Q(Woq$69 zzn8uxdyeN$n{}>jCM)u6qaiJZFGht@ujs1p~kRGNK zl3c0ch-{NdY?`r(VgKo#Q^k_G=I})NWV8isAtQU472Z5EU{Rd5ww$9icPC2@S+Sjh z+3A*|&~db-FU_?Zm*uA?Ls(%| zDu_Bivt^>_Gza0igKw5lAAO4Y+2!;L22KZx))nA@S9K5dlMldQYx(w z!5=1YS^Ux&|1)8&68H`|6o;v%N{**lPgG-QYB66!{M&*hH}$r4eVf)3+>th^x2pIr zk09get(409%<;O)MGM;kb{6H`bzMpY7q`OeuSkWlNos1*Qy|Cr5_tOp4nO+NTaH)n zNim*-(`QcI%%usBbW(fj6B)AoQ5WLXYNp-!Rq`;FkyU2#L6iC#-Imme3~5Sjwy{TD8%rM-*$?- z9w8WMf`Jm%Wux9hDUA4_XVGTf#;o{c@$Qt9;8LvA66NeQGG2U?D#Zq8$mQ|eqDEut<~_JdmM_sMJW1r}OV!o7-nF^* z2&(0I)cm55_pMlCWG1}l&Y7-{kqz|woUd@w4N8Wd-r<_eh{(Li3;Y{LKL{rW=4W9L z#QYBTy`Sl8w7-4Y!}>_Z?w@+&CAyG%*?+mD-taZCOj}BoIF2Z(cAY$*9)}wAO?G;) z9Oc$u)k}L_J9L2Tif?>+x_Z4xgKiC{p5*{U=B+)sXQTE(47g6@;ZZ@vVX-{zH3sFCM?U+gj zcM!DZpod8(BIq)Bo3^~rp0PZWNwc5q5nH)h#&ZuQL}=I+ts z!jbjki-U@dsAXn;+H*5*hs5aU3eNGn?boA^$Jb;m7ySnQb#uL{zDyK<3R=^hbfx+9 zI%Tf0M^|`hl#top$Bnlp51Y?sRyn-gfe{LLEPyyKdS2(cR(Xs5a*;{iDQ>LBAGJ#s zf-#M;!aDJVBhd0dqi3(Mn71)R$z9e?mVx-!{2L=f)27}35jMUU8}r2Q6*`%6#yfq? z8dIztEODT7+?FymMNj{bE3ODtAsy&~B=N8Z+1sDxTj;jp2Q->L8F1usylv|;X&o69 z!PqR*x^1IhEF8X!6Lpeh3pMqcERztf=P(;y-8mhJO6d3_{k&bQLJWr5NCwG5#{yl&1oamSQQLsV z>g9<<{?%C5;f;l;B|_!2bX2d(?npcT%-}K6?V@*0>YmPR#fQ1vb)?Ak9ONixSe$EL zFK5?XTs{|_Q;_IRxv*58(2Tex0=c3zr2Ma@sE8W1G+cyT{S2LRLWSnF{E<$j`j%(e2;Y{b#k3~tk7tt05lg#Gl*qA88F~S}jBEf5 z;!LL?BDtR*$fDb=>WE~^M%~4ujh%#9iGtMQ%b@wbHZk9k#H8uK63EJ*AFO z*q(`in=}7`jQx$ZB3qKO{+(*}&WzT-_@-r7mO64ixuCC81~Jh4wxK6!eUnUVkskng zeqJTE7$ca$KqFiBGRv&HWHRoKrm=!rYdWiyl?od!dTwA~;3JAtBKaJomd3Rx+cjCN zD}QR~iIa0;<5U7ehuy*N{N>nwiz7{ponM86%D`ocfNOMnO zLRw!`J{w|dRMUPl-XxalY1QMH+OVpMJ}J8@`Rs+Qe*6tKI{LuYxWNzvj!!YFQz>>B z@6at^g12hyW%J;CRQmgE|8NGsStG~;-}Rym&L}E9o+GgeZaOC1#k57b8WY#ZAx45! z^()JilE6c=`s&~RU5+Q}3B(ADE1N%n)&=p#7`p-_1&QAvUEJCWaqYGkVvX@l5)~dr z(M9V#;VM(iP}lJd;#X4?r~s@XIy(Asm!pTr6^O$9&R$o5+*-chPTO&24~u>0_1GeN zB&L1lC!fJgQmKmOUv*z}Qa^c|hWo~)s*OsNoZoHrgjMvj=UiIhrkTyiKN}1$7__kB zY(l{i>3a^!8hR$Up{+{!xE7gm?C%4M)p{MDKdnF0Y)rAYBf-RlJN|>`;;?uKB%Qc_5qITr5D-p?VRh% z>G^qifwm>06Jzn=!Fj_Cj+GCkkQ8Py1=lax?HrIW(u$sChNi#<5-2(AUJT?Nw)g9cF zek=04Y5arVFV%ClouFUZj<4M@J>cak_*CFVm2-9GJ}xssYUaKi8l~=J#HM08V50WJ z_;~cm*H3xl@+)Bd#@z%NYM0ONtW!M*LhU5m@lBn{@VZN`tERrWWfQe_Nn^z&LS_*f za?wGZItQvj!YCfjXBB*fNTPZF+Y)0^Y(-164I1faM>F-#AeLn2&Nnw{J}X2#_3-d` ze$y^*zEuJprKm5jxL8;ebr*#0as5Cj3WL?`{6_#dK$v%k0d)Wi2&=?f*Sq_smv!uN zuY|UAkUa7HBUWgD_+mK~WnmIVb2BSQh!Pq7NrK6f|58WPi$Zj3TG0vj(4{oB?eT7_ zdX79dk*wY@3eT4`iypZ~o<;=*YSoxSY)^?+NcP{7KqR-4DQ?%aCo0ffQhFkTppBXq zlanHLnWU&N{Ue>419*XM@c2hm^$rSv^O>1^L^k>j%{NLMcnHRK^vYS6 zkKAnj!!o!<+x@k_uQJYZrfP&-t8F1KD&6)=-Rn(B21Z+M4hxt za!f%{Z;(3O&|YzLUfDChTB^U{)Pw_H9J{}X^gCKl^>rB~4mqT(@V#A>B;9h93|yhZ z+v%eluR8tACvUmR7zUe9{opW|G@(*bLK0oG(9u9b14r-E7tHII>z|FA`IG~(82pV&Q#2ksB1M@&Xda zevLjELE^UGFad!!;MYE!)`TC=&qunYOz*BwgMvlOdtdCt>#t!NtXR(WPTINw8^_WO z0JK`}MOK06XUQBF#H9c#KpmoNfcpm%KI3>|kiAN0Yg2p2vA5G7FWC3C45x zkCw$r$5_QNxah=_n9pz-=spj`()GL{DZ)=3axTmGA5 zqHa)-@zVCDHP64x)x7RWX&&F(o^xL|z22*mJg`m6eQ&Fj?z3m!>AOREC;`9h9nB@Z zChx9g9l}={<}kBiyC%A8w@<`%sq)w_vmNcTOFQY*Mc%@9vc;B!e-uXESQ4202dDVt z&<~=GCC(Jvn$KN5@`}?d&W?qg<+0y-5apP(&ie z!`YCeub&qv4?W@>?7;k9nW~&10d}qQ6t^eYP17c3sk^+Jsd_?!d-f=fpv^tuO~3Q& zV$J2QrWch3m`-v4FR9PeFy_H&r|Ucm!_B%!gS05It*Z#XJf9~Eo7q#H6ED%8r@A=) z?F0s=QZR>up~zJC~rB`wJCLyAMp&t(pQ~1CF8R++}h?B;lFFO;tZjUB^sVb!J;y%JWejOd7luu9o@8P{W-rqa-Ary@|@9xR4t6-k!-f%||;AMKf6haeacw4(CL zz{~R2CC`d9aXE|*wPj1;K!}Z4ENih@xGnLt|AeI}^N#R*-J2)k-Ofm}HSFnCY)iBH zUS=}jobqA-pC%vEX=R%t#zUQ0Ms`p6!Nm-P;Ju9H1vk2}Ow8d3ru-oI;8-kl7{z|) z*2ysDlQNsa4P)gbAk6zz>wXxf`}LCWGkJcU8qD!sN`E$5;Bl+(q6}rtWM4zAD3PsK z%i(t<04DQ~o6ieB!%LW&!H^`881>u}LHx*~C3+zKDQV~XS`bGxJx!Sf8sJ=O2gsX1 zoZ0bRmQtMC!qi?qHSblBSAJSxVYqveRF^=!GOPys=Jx8zr1B6kB59%G@vAbuTZG_$ zhERUz$W}67N}*+h;{l}FHK$6LAX|b1@3P4XkG0S5H3-!bh||R_fXoYPYeRY3U+wR% z^UI|;=?y`!kV>U_o;uqF&4<}*8ND<3+~78WAsEy_5VAgvy>H?|= z624#+sNg}Jxbc$SFzDb~Lm7Q!;C5-Ps^-0m8A@AqL0hUbwbEtd*aVXqk*K9$>MsdI zWvTSHk_ecjzOKFx3ph*9)*N-?EL>cYA6fjT9L@L(4ddU2y=*g)sDR+ZRjZ3OnYW;g^EYW(jk<;s9AvgG=jd?CSrFSuz z5O+#V%Y}m6+t@3BBmW%4%0~Zo>I;xCO?fH7<1AdKxAaYe-N4u~Xk~$|kS`l)dXYP( zle)Z^7O*^06P0U&J5;eqHQ7<+5oS=b?~)|+SF>&Df+rGcEkbd#2h)zjGDOdW3Hn(P zs--auLASElMZ|nKhh4K+J-i~tUv~~VZ<)N~GRAu$`^KkX@_aX<-I99JvVPR6Z2<{r zYk%5yO!)AvtP`$K^&VSSVs*%yi}D&IR0usJg4|>1WF1Zm(E-3<A>!%|n9 zqvG`+yL2VL*0qkWvnYZBwY`qwl8=7Z=s&T^93zTRkLiE1Wj?8|I^RhvKumpUeDnzC zbBz}ulquY$;+HHNtYO7*}tC~7~t9V(N&w6(p_ za?1ezc|S+){M zhG9S^>a~(H@}hb;e9(FSzOUk+>lT)8U3qjZ+i9A9=Z`0j@;Q5Z8np||v50G=TekIX z8=2*dyBr(f8HvOSiTCS|sMgj5CgtiWYkrA)3~XPKwMck)d7tj*krq*Mt<~{aO*-9$ z*deOlT{e%%+!-hG9BcQJlr=U2TX?$yPA5;bnUYJ9E-$fl7FsZM8?IrFdB-+PvWYC8 z9Plr7b9I}jOIT_zBIm!&Dl7x@i$skkig5jdZU#4hm7pQLsGjNUcau^bVcT-?AI9PV z;z_5H^1_q`mo}$yWkqDz6J-<2s^|li2r{>n)$^Zdo8WJQDg>I5=j+*NwB{c_6sxP_ zGmCDQ8Rcp%4ZW|Aiz@dQW1*0D9Y@&P)`_giLX4KpiF?n}hizxexj zsg5LBw@UT_ zr>Ev6`kTCNGFA144kl)n-7Kd}s5QztsXxgns3!`QHi45OJPnU)bJ_m5I<#JB`Z?92 zZP1WLHIcwPJaf9T`;jH(@Z0YZZ;D;K>PU4NA;5xutzwL>mj=xtqr~fx8xA4nauLgGkdHJmPod2C+)sYlR zfI93|@Q*H!FFU*RiiF-eWrokD4OH-wR^6aec;sPgrQk2OQ|;yRQ7Cka{oV3n4Q-B@ zp&JRllF|rYO-Iv+F(oi|=ZK=%8$L$fsil(oQ;VD5+cBsY4a9lg`WA?leg7js#bo0n zWyFnsI4^=8YSoBsWqkr;?0S zK^2-tEE$<4@bCLU++#wai!n1M|3`S6%brc?sAMhcX6m=5-9pcJAJZ*9$zAmfr%-2m zXk-6MikT3k1>#t+Cwb4=ouWa3#xVr@OmOJq1E4migxGGnep6mW1=Dc(XSa$iV4qth~zSKUCs&vmY6~0$W`=-`>*G<`f;dVHPI>!HQ53ar$ zryn+|PL7V2voD!T+VV;%N1;o@6J$zf(OB5_H&8cnKWMtNx`=%K ziMN;k>o+Gd+LFAp?f&UtnMfqo7DqT}Nx=cHGmo*elLaZAI&PcAo!{=JtZPB;s3n8+ z!M4$8V*Qdt>{%rxoKBG4__kasa(wQu8%jx+C30SAG9(uh!5PyS+}i1e?v?Y>=FGq? zaf&!8@5-C7bdhux~0_;V8xT*m2MFlYGF;|H~p`Uu|IFflkH zA0u*cY;n7;=%CNT#&F6})U}F$e8oR&zsxZ%kgGQZdhkKZmoIrP41h4@3%iG=%P?xeWxoLi{`UZYR8gEj8pGBQ8AI zqk(+UkSi60*fDs37RoCCc~7I2v|)GKlyi_rt^s$Tb*ia?wDdbgF3AH!tB0@@Cj_!E zs-sTJte3LwpV}E{F4PbqImJD?gZFx-E8_6dQ_C&82bV(niy(;Wv!nx%f>jkHlpLJ@ zDI-B03j_KkhGBs;Q{b>8}DvZG?%3ZTvTr8SVojE?ImXv4Imez(8 zJLF7SP@5VbF5c2I>uOc8>)+A%JzqI2kuGAEZF2g(syN>QO?a!b^?{~j%=RVB^3uPB z67MisC9*XKmG}YLLb_>@trzqRX>-%!TX-*Mt3cfjsl}k_h61Qpr&u%OqE+PJtW}k1RP#b9i+;x^#SzBF^_B5_4y) z*m^nH;^B)7@Levw$zb!>_sWV~UfEkyD$;LuK>>ChG}rMhWQ&7M#MYBnRaRZh2@g@b zZ`-AcUow+F(V+PEcuAtdNL-ayEBUapTW-YJVDLOP3&-){dYx~v|zz`4Ohg*x@Rd1Kow?YH>1vj%5rdU@RYFR zrqrWMT>OOyeQO0Pl?5?=iWiH1mU@vR*af@c%^axU zf%*&xELEExWb(etNPXgG+sup1PS{Ik$81SQcVm7RMQ=)>@;I|+*i5|m_HGbk#mW#% zo|=Or!zeC{>47$)cb6%hV1E*1EMV3bL_`I>>ItMxCh#SC(n}=s92d> zfV`NI^`$lO)o4d}Ucp5n7!NLrAMfqLbb$(kAiMtlivZ_<_2N<(i_+7U^b~3A^oUaE4FHWk|n zs)}vz$rvi)a95&1JxMHsS&q#l&B_CZ)2`NZVqpUL-yR9vBhP&GohB3Cpy_%F^bBi3 zv+(408meC=E%&_S+JyB@Tp`Y{^w~R1C$rAyiIk%Ao~ojFYpR>F!PP({PS>RvY>?4^ z@URv@MC8M)+j*2T@lEb7A-gQE0rxKuM+KJ|bfaRk*FQ2w8pzGd(-l>{(x^2|MLV^< zO@Pw(=Z|CjFc2vK4lVp#z=%7;P^%CD$>Z-Z(g24=uzrOK`fVNJ=2j}E&oRn)im~b@ z9^35p4h}GmQ60lZEm_t0Uo18|*mY7W<>dtctsCw8q}h<-@+#M$bF(=hp6dZ}N$d zo$2n~@ZHo3Dp8(^tp5Q+rAx}8jzpJY{ZbDNCy%`6nT5RZcweKV6O)}-1l7jRJ`dOq zf-cJJq2;)kS*`FeJ2$XTg-7D0nx(4IVjUNPQwb)Y>k4MssAUd>(*-8PDM91xMvbmi zlMWTT6j5icDr?9K+@!9+&_1=+_q~m4(xlAhQNaoIiey+nKdX+qm#0I@o zXO!FIlokL1Bt(R9Y>pOhyV$6{U@=_65t<`77$$&yuv5Hayi~KaI|LZ~z@ggJhuy*< zTSIIrvo{|*d1~0V4ENN{RWx6$O^X@Qm69YX?iL2$!D zoLb6m6T1m0P(iv1K^9$`ufo^d!vQEb9~&mzb(iLg9JNnMNcm1hExX&<5^vk3s*QwU zbt-`&i<@~Vw^z*$NPSUng`L_wQf}S=Tp0KfkVe4kKcb|TJb%F(bz#kAWw9@kv%@I=`&HNTr1 z2zDshBfhon#hvO$oic@vJwjR&Yt|z~Q&V%+a!+}ZvjvqhIB}nprSyj4As)s+IU1-t z>S(SE@I2vf`=Kp*(teMnZQ`EIRH}FwM(r1y46zAUa?rjdd|W`4%qsi?Ro}hK{z3@z zu+Ia8E*HL%k8LFdDWwppbpCo^4=;`m&H$wHMEPF0$9gzqjp& zjznpe5e8q!QJQU`htIVb(XrQ9+*n96(Tlkr6A~60IevT8Fr$v}a3$TkNmTCrLT}=4 zXewE*Es5^gxdDuoTUF_~n)ygymD6J0wBM^tg{nt%m~214zSxqL)P;P-f0xOtcaq{5 zm}^u|P^J&m8%gqZ`EKR$bI$UL>z^mSuQM|R`hRTA$A(}4(~cM{PDkf`zBJMTMstN` z_-E7UV#tiFjkW`E!jtBwu@Sj)8{q@Nf%n3aQS=ZACEsUB;sgW~0}5;o z*Fs?(EO03>7JyEGko@$S@igT;q=!M;-E>nR4ah9-R)8fLTvmh$6l#6L#~Y7c5!~yL z#RzHh(wJf_st0z|K=wS3cu>#6FZEBAQpCpuDkjr-$k8u&RTx@BYj7W=!xU}k$!$&?3Wt)-l zVrM;{+@mU@__{LO`W8d;O0iCxMgjY(&y)ICiv=CoJy*DIw4{sFQ-}>t%)^nsKB~(dy*)m0J%z;h*8D)`IuuXt{vIG6m^it=QBFc- zAe?+|IuN(nL`HGqS9P;@F?+PN=5Us0P-{)xhoUT3&IChdr98`pFbeg4o*zX#-;r(k zAn}9hn^HMF@q@kKkgOMU9!K?5(Q z+&=JT1qA-k=s?^}1S^D?Q6ZNjS;6`6@Vp)9{mg_G@9?wl2)`OE*|;wafX|gf-#ch!-L}+a@xcity0Os| zv^AkZ>Bi94xJwuu@yVDcFvKUBksq7oAr~%Z)%z0PVIWJx?;E1i?CS>=r^6*=nd z;}r*|k?kI}%;2y+R?vwQ@xX@Pv$(`k+iihW&tUZkIh!Gy*_(91Exi3KZ8EU-9Q!<3 z%^Ov!%Q;`NM2rM$ov88;aLfRYeOnNhLPb6XJ{@p5_lHmZk+mWQKr6 zb|6x^%#b~ix}O1+TigDI6YDQ*;Y6G@=%wq}Mb~%dxN&g!rRIWQVX1w&7yfC?>$TK< z54znEAJS1zEBd2fW(Cc^!fRRTMRre&N>*O8zI|t^6?YRpYxc==p4Sea)mIaYX8OOP zh&&sUadOut4qQR|{*8-2`>C7T@B&Hdp5El)j;eOv{`XLv*kaSs*&0!0;NmpTtUuU4 zU3bc-W`c>NFkJ|mqT7w3gU!w+xZXf7qs;RTM$K(f$yK=|K?RlJ$=;n0nD8xcKM$UW zbfZ-sE<;@&I+Uucl&3BBsT!okr_Y=Y3RCMvnaq^syLQ^a2MWyWT@+}WuFi3Ai2nh? z7;YBmQsHs|jsryY044sH`P2XnKSOAXvX}C99+VEwL-68L{LG6(Dfw%qvK6VU%(`zvb@rP-Pm?cG(?+2E6SA+~@j=ag%Rd$q&ySo=|O( z+^LrI%ScDlsY=|^MuvFWkfYl!(cMX)EODX{p3k%wf|$apaO+}u-=VjjgXiQd0Ebho zNBnK3epgKwCzo-;(Y+)r+JMaRqgZn6sgO`%7AbGQW%s1QRVlDVCuplcakTd(sutKK zczfxd5QSBty0q>Ffo^nR;$Z)+tz{ZFpRyBT_yv+3!gm6WXMSKvVYM|ltt!>sN9_7A zKO-pJQ|&xFx?V_Dg@&0cw{>y%eQHFS&DNmTwxtoIPb?JYlV{zszK$$z!RpS&G*zA_ zpX;w|f1OZ!;(b5dZ1sLD>Ugd~GL!aQ<0s?ioz9KCzN|UPCqrNH=aAX(Z`;7+{Eo`R zL_+Q_&1t?S54P~;Q*_Fc3LlG2{RLaHOx_FD2!+E(?6CfrWbKWMDhri9>He=+mHPWh z?K|(80CO_0Jt5{z7Om|qzIHgm|8S`OQPOSmI@SN=%54WLKhJn*;d+ClDVew<|8B;G zs0}@9Mti@^6rxEaDWwoc?ZI%=G3)%+jxM8WP*wTqMTEk5o|O7sbL6M(eMc7jX3ad# z*{H0wC6dZKVFZ#B_Vs6 zoHM-`9_l}3577vJYH6({JDX#}o-C%SVkR1B-9vekf+lHyUyU zF26SY(yDvw>?fb5_pQguHr*K2e&_DLbtm@po;rq27>b@#R{FpsE#qY{zqN+u zJ8-L+?3Bf}uOVF7Q;M_=>aJ%!eN)hE`%BzaI_0hC^6`bv$lhkYza_-DH#|#Pzo}_% zbffk?UCFx1{+WDi&YHUC>6Iq-CB!%FOZ51iKxwoEL!zFPZB;%c`$$;biRUy<31PkS zU$-mv#bcgleE-rhjrZ(gBP%uVNZD6TwK;ORul#tvvL%dO@_9Gj*+*KI?lbVxy{-Vj z-wm<*#a$-~8o*DasDZ2@>vwPCfY9PJkSx_NU?LaEV4)8I`_21dxI(mY$R|4-@er{} zgzWZMo4gBIDNIg}-CjoJCH(0V;>6(QHJ7k0v4KywbLLVe?Q9q{Gi#}nmF z-$e_}H0tDjRZ?)@`)dKLqqU6<6o7zfq$7Pstm%%Lnqb+S*MB7vTj#O|VS?H<=PxCj zN{(Gz%QSlRXKVNmQT=9Y!B>Zgk*0|d*|CiIdu$wD`@}?W=}PV2sAJ}vnDr*W_bLLa zHKu!W1DUwLI}1iRPJh?MXJoN7?N+*mw7uFAXCA+_&I3|Exvk@`y$>=00(wf#7z zN!?ZA$B2s6pAyG@4GrsrUN&N3&g|=*{Zep?OGcz~x#lL7;A*zaqm88|u468LdGRE< z#XEnamAP7eZ{E$}<5j}|Kp@}+q}oM&OYlB}{&m4oUsJva^&BjU@PmT|(DRuq4uMJs z^b>77{C1#Gx0`J6`>6tVxP75M?=-B2`vwh303mVA0-v-|a2>V=(r*?yX=~2qJoxQQ z+wPgN6X16}kV(l|{W|s;`hb)iR|7@2*B|uvVs=vxK4c`Nbjf{MvNLU3sn=>iie|O+RDJzd3!UF`HGU;`HM(GX_y@X-} ztNhPFCnQC7Q50@ud8=^8N6j9X$2^`=C{9Vo^vdig~`47KBEcf~6&P?SzNs>oT+{^cV-+Q^86 zOT7T{BcEonrg?G=+je)w4F2_$4wIwtEwc@7JNZhAgPik%_%?up5TuyJ|E;4Ra zpT6-AeR+ptbp6Hs*llBE?dB1^>qa%oR`qdX>a@f92`TgNbB-1mf04S2^>4568;Enu zg^jG&d955rmFVmLU2L%RlwL!b6B`}k8yG>ao7bMt=1s)FR5$l*EJAo{7=v(_;f$HMk$; zJu^$yc%yq+T=m7U1{WrHuL*UJzAq@GR+O)gezABZ^Wf)nXQUqO8-)lmHHb33m-o2; zN}d)W-j|5KSkD78kg?D9{Rm$qnukFp|q_NSD>J+xY8Y6TLEp@}MQB zj!}|li~HRs4^@B$?A4Bvpjj%+*U~qck|~*Xrk86=Qmzi zTMD;zy~!%qxi6d4^Hr)?oAnp-kc#1L(A*^?SG)eb@l-6vwq6TFTPrJWV znow~BZCrE|=7EJZgZG6pnJ)**sZNpzhZU`=1rZ6S#Oo?@Q8wjS$qsH4l()HmSdaCC zIF35aQx*9Yn0kV@`hh>Cb&!stqoVX=h`h#nOOplQP9Xju`PkY9sNHWadJ!P&uZ6lz zH3b&l(SYBCp$1?)8^J(WTKD{!fYp+qofUaSN51C-?REvQU4fL2S4s*8nhw%q*X8 zW{s(TSCduYyIVCEyReJvqX#QfZZqdqrnuKU#QbT9d^N47B|IJf^OA^pe8Wwg*#8+0 z>|xCwIUz7Mwb=LrQT@?Og9i(#=Xfe{>e`Bc482cS&f3o~n+ad@>D6^~MN;#;gb3l8 z&<{OHOoVW>yDd}GRV(2ER}d!Z%RRUB;6GV$Y3XVgTIR=-f^ta$)hPz!r_!$$DInVz zM+)2uOlOVX;$D(j=Psw&aOSweK9mQM-f{;e%aAjOv{#e~sAKPV)-fyGN; zjopZd(c_Zqf~0R(qtUP8HSJ5E{RgJSE0T`v9LU($l6T!w{Z|QpAx3IC4~HdOHnFK* z%;^@C`{P*iZ=<^xCMi}^CO6m2ccu1+!fbpPW!LO1-2WAYfp*^e^6|*Rtpwhe(w^Ko z-M7J%hxd13E8VA{`fHFb{-V>{@Ak!`gIkO-^0mwvZck=Z$JCFk0x6zWxv|vba z`kIwymA^Vtbbeb}QGOeF^cX0Y51D`{8n=1Fc0R~>I*#WUQHvnCbIE9XX#DhM!~~az zFnRlg=Jt)4ietmXX6y1QX&v6&Z)Z#f5pwOW1(%U{)eObXkTNx-OVm?$RgVPTTh9DRbskVnrd!(v6dk)#Rhk8mPz3?$ z*rJpKq=k+`L<|s+D!nKc2t{c^Xo4gVdVqj*L?D6!Lg=9=#n1xMrTRa?Gv9ZSMt@K)4^67O7Bt-a9kBhtWPkcAdBiX4AwR3k>HH5oe>nfB!agxtRlIf!r;UO} zcUq@2;_80!xu7=v7<-t*r`eJnH5X|Y)%i~+#>kIBqRT=-GB?<3IIdW598|cHqAYw2 zf^?U@gx?j>QItqS-Qgr+XG-PZm|J5Rg!Rhd>R5uRdj21R$2m+S&!2lXDeI>o+DLfx7+t zLgl-9Hv;c?1+0x&k2<25=;q?gxi^fVMQc@4C-yTg(QaxA3!$uTL5G6M{Vsr*hkd%< z2Y-b+E0(k%7x@|M{^FcdjVK2ON)ewr);;TBx zQRIem)|d5H5Y`MWOJA5RbuC~iY`IajQ$4;29NwnT;w!hsjg%IKew#J%d^rced~xN7 zvsbKJOD|G8Gjk+QH+6`7PnZHZ3D!B~`L_01VY6Ov;h1j+B~SLyJ^zmLnVCRY-nhBx zWAYCulUNrAz*Q0tVbGCKQ;gd5251LY_Zo^XXsgZE5KwokK1WAh94!R5m#5LT2i>>b zv8p)vQDap8BO4XxANv1 z39(C^oLNHHG;6#WAN}#?zRm6-ncHVZBhrTBWc>jLJniH9yBBlGo8Q4suF(Gchhv@Y zP$>Ba+G~?F4zJr#^^5Y`O15)&abR-0#s-2q+-Q6+>z1`yY}X5je!=1P=RWQ(m$r&X zvdC36WbvE1hxXM0Tow)Do?1le*FfZx+L>$1(k5N@c=AqZl|TGU6GXha5|~ z!+@}bsm*_Rp5h*+;NUvgl;;H?%-T{@ic{VLw=(&8>c2`SsPqtaVeQ~bz8@q&rN=Vi zB!UuGgrlzVM}aoUrwjU`oEZI7QE2`@ebOXNTXSk`AuwU!&6(#;uC7IKB9wrW&|3mY z?H`@Z5G?K% z$He4`vNaNT0Z|70Nd{A3qH6LWv@4Ee?d_O<%v>}MocwlN*co@F^if#ql8ME+96+7a z^8wunhWrSH%>a!^7wa&Ct(Jh#7yyx+ z7n8VJzjS&#MKk)r?MC~jhy{{DW_V8;^x zkT(=%y`HnRIHc&2eCRIxwS6e7*q|58@;+uE_k*o~SK7d0$&r`RdJYcruA4P+ZAv3P zQaNAC{d)-uTw>-M*lGRVRYq63#av5wO%M8k-<-X8jTZ?3z@61l^2)ZHi#_}IwX=*q zN@U4;ER*5o+A)3pz12jJhA=w^o_&0OpI28^(4D~h3xkr(8ZfjTZM*0aWf^iE5)Ne2 z*_N%-gYwf4o6_K6W^W7xyKJZ?opxIeQ3mc-DyjL_Ig~}@p>}ViZMoP?ZmUF?SntAv zL8Gh~@(hA&RZLh9-JqWyLYZEUb*ttFwQ8oEw|_;eYF3%scESxXRrsM|W6-~9HtYXs zdKL8lG;WK*A;v~yE|qFb41%^KxnusloQHSdjEz3_@k0SwLhgELm~Pm^HOs8=5-CvW zlFZP;M7}NLvz>jxk<^SW{jJmNS&rI5d67{g$TF3`;YEz^J8nS$={$^kTo^Zt`o@m0 z7(C?&8I*%8npsx4vJox%_wDS9Uzv1u>dV6W=aJ9vzJZ1F=}y|`=}c6YAuq_TnK~+q zX`8Bd_i{$$dlnc_k>hMPDG}0M1wJbLF|KWgRRi!WZwLlzxgR9rw1AGPvv}Xoi*>%3 z#Oj3vaUy@&;2s_nrRJUwH%=^_Jp2i=A`76a$%ueE0q8&}BU^{lAL2*@b;- z>m6C60wb$}_p7T|XFF2aF2jQKY&RcE!oh(IfD5#Yu#&Aw0 z(ZE;2CP+7#Eibei3;574qF=JjS3Jd4hV7 z{$4WjK~}p1n-P0_<>~0&OSqG`?95w}?g467(rfXD^a?cbqyxSYeg8GkcDR`k+aArTXb+!qe2 zDx=_!=rD5)8h=kfM-qFpCU+bbkgAb4rVHx!VIEWpm;I&Ab3e_h-uJtQo4L?m?U!>P zd;eeQokBYcBemno=uyxUXORjx^v!whNmMc>5yZc6yJg5uy5%)n!|a>)TfLdUz(*w; z@RK$RDA#U%!7KTWrOO9449xE9`wnmIc{YnYf-wbdZ&dm`xzGa2d$I-# zjhu`3ar>s%6isP zzc=Smap7vkqnS$1=R~t81dJ1o6o!u5Y~7d!^C-}z2UHRe=XOf}4JfZP6ymRaGs6#_ zFkjFgi1;1>AB`m48Th=M?l?(;GZGp05Y7*Q??-(F2&_Zg-rw(WDSDbjpCQ@0#-WSb zb0lv7b%;h3=apm#~pDI7nW#NXkNJFUBBnU?6;Bfr9L01?=F77}J0ulOp?`|b}1 z?mKRb+v?x5lDCqd-&VuqsF!H~ZCcSX$Z2Ctz)xJ0&Xe5Dq(^b;OtG%n=17li;>>MRx^8pkKraE0_a_95t6>41*W z-6L1ywI2G!j3c?nZIsJmgIXWZFWS=f2J=u*I)ao4@V|kzOEVe#(}|uC17@J&1k-pC zjqhM2%zjA+sM~=?0-#x6>_-EHqK6eE+GvXEU}KPl;GeA-o?UJ5VzSdu6IXqQG1aRj zvt{}9ZarnO2>iKPnwIj#e~+Hx+r&Q4WVP#2Z=S~N_o;9n830oM8cTs17R&@8cU9U{ zZ;M0hsR~piw-AgpJghaG5kgq=KSiX6Z6aezlXcny?snUna&et5ZZL}SD1+2zppD)& zC0qqgzsI*h{7g@x&pR-KLMcTAWgj(yw2l`evgrom*Lkbb=62F)S(I<22=MOVyA3|f z^e_1_?f>!Rd4Wh6bBJ^iWzpM_Go4t9(z`K`dW5V={kiC!+`n@=rnFkv(-FDTy@gn3 zyo||5;7Ux9sZ0f1BEKe{u&i6281ff;-M3a{_xEth<5iNgG+av04LUJ;G~EBW@1=&W zF88a^?K*sAm|c@l;I}W8OSF%{`}xcJmyo;qh|A${w=(_kv6v;y5oVNVG~1goo!N&# zivrwVU>fs$dc;Cplf9g{jM1FSa7!%Lee>vIwG&LLSQ3)ea3#2<8wu)q@LGi4De!Wh zeV8*f&fz`pY+O=K=|HD>k7j$}zCPF_0Sq$`pMotsWD4}Uuy`Qtc3mS;^3@-yMU|XvPv36v3@HI`LR)k z)dSRIig;li`oaUfhPbUpuEH^oG1Ym-rEBXW=ph8`@B}HRGF49*2OlgL{vYt#QgYwE zx^>R_(QTgZ%7Oe-d3)RU8(ijewd{qod7WiXrIk=1w?>$aVJ|!x;)5{wqDrkUkF+o z7IxbBrhaa!#-MaZh2TUUwK^hZfzdDCyK~hNChGwxO};M}_)8vn080B*D5E(}cJb_* zV{Y3D{&Xog`VV_A1jkZ1DLkb*1OH@Hg`xf*r^M~laIQ3TWR z(jH+~ns{UId8&!FX81F zn^1#ZHL$rVPuRc`mUk{pXKxYiPtZ)`)4_86E5l1nV$^Sl*Qrbl`}v|*I2d2;56(F> z2z-eu9iL24e0sj4_UcC2ZhmNcW7gcrBSI3hgT)eSiCYe)2bt2H5vhZtXTp#GFA=1u zW_B~7ui@}x#`heMVwlDO9cly!5J7~*klXTqE-zrW<1qCBna*!CB7_vVg>G#OO0Hyf z_-eu$+Gf?u4MNYx6jX{t2}>y+h_&=9qjST_v|VBs^W4kf(Rrlpnv;GbP+V{++E!Ue z9_%E$ENYI#xIfNaBJqA$w7PG?%J1E`Qgg6ivGFee zN7)p$uiXD6P!Rs^zgS&Hxbh`cn{pcJ8k+`@S40UBdY#3!&ZIgB&`6)$iZt&ybu@~U zpNS%amBfVCtka){9W%)91a9}GSitfWw?%jN+s|(D#<(Ej%_^Gg;4)^51iJmqscVJ} zC?3yEA5a%Qkg=>u^-u>S{~PwMV0Y!5_twF>cDsBhVxl89&Df)pl}?=Fed`a#ljo&d zl}f4)RO^63To7g&1r~J3%H_$zwd=D1ToEp?kU1XvdefwsU>Nk5wNVCa-YqzkH(IOZ@e(K%MM*I9HQI2d57=MGMKlvxtGTSQt5P+sw}i$2VOY}D;x^vB{EbyQ2yByPw7d4~L5WbX(2O29hgF71vI|c|P>8U7i z45ZT1;q)Xef2$bpzI%ab^aeAGe#zdBm0q!V{X4Dp$dnwu@al1 zv>2_VwqB$ZJ5SJ#73(A}(9rdUKhy&=kq8 z9q-Bm7jI?@hsDddv?^u6JY1_q_F*>P(N3C+Yi(uf%Y)g&twY?Jt&A)ahKLHFo;UGI zP=WgJfBGEs2!;;}aP(Y>OZDK6(GQg|qmU~TV&dJ`D~f}R`qQ&r3=Cz zF(O*I3=?I06JR;;FV|iv)a7S!`oR5r%EKVo%w*P`CC_PJ{_&!k!|n*lTh4n|vVju_ zDli8g17`ift>CT)*ptJU#_8U(mvflVe7L2X z{U%0KoAKnp`&dNAIAu*9`5+MUnuwfLG}zX2bZrd;cP)}3Q2l{B3sC(5$scg?yjhBk z22%dR(*P5AmMsgGQyk^fE{)2Tv52xR%;k*Tyu$(yk~yZF2m|?R0EMf8E#_0v8S>i2Yaq<`rYafyZ4@pl(^fIjk@D3C09eD$XK;p)l6MYpwzr#lNS#3(xf2o^qSo`Y)Jkr59;^{oW$^r-d{^$a2X^n;NrvKRHmWr(pfoRv| zuGhfvN|%S`D=$}We*O`)cxy_UCbZ@58~0B7dNbYT$n@QRz^$$5GRI|ery$6kFp-qw z`37kiwhvI0p)db(K`8u1^MjF$km>3G6BoeSefsYGE88W*j<@6Jg+pqeo*qHD`T31EEfnx{9$YLmz~Ys`fpV|`TI85w<{LnC`zB3UhhPT^MxHS} zm9;HK%q9*x@M=G%PC(SlS3~G>PxKhwBnvIUo8Mg)5_dmM0*?cTOo9hAvSnQz-lwwM z2GnkkKUPgME;&F@KX@Q@t>c>a(aepJQg47&Eg7l4idN)~KZ2Ew2$kOnZ^T!d+qmkC zMv=aB-cs6XyPpf=7F=G>)B0MJy5se34>RN9;NSHi9BciK$M5VK9i95>=^l?Cys zQca$q_5`~D_$%<2f+W6&`f0Jz$*mph1IMGZS8BUt_E$$m3l8YrIHwt%NH_W7&HxsC zSrmQy1;no11ezH6q--z+_pIuiz3pYe=WKPc=1yrh(`b2%{#vI{4md^K2;b&d{!ISa zSG#*PNZ=3i_tlPnuXp1L+yF9cAhy&l#Ai<(->r(vs8U4e+32sA%g74vGJW-PV&!;# zT3{&6fZz*|P^hvOsJvT2wd#cnYZmKa-VFn_b_Tga>hWBYzOguj1=ng*fSU7julu6> zz!Wpy!TQ0`o0T5JS;~=yy-;8%3eI0Z8v}FozL+gL)3Wz3vU`tAdU9k-2e+v`=Be#K zt)Z~(v8LcVflHHLyIbVWsRk{bn%hcH^|e=)Q6+J|85?BDC?Foh?6P`ISOPIRYPXE! zXf|3JZ<$d0x93)8c)MPU=MgE`i9LbCSjSxw$=C?{XQ5PXYlmwr%EoR{I4BKXQC=u# zYLC-*6fJi8!ur$;meQLicO5KYz{h4VRT^S*^SD!<)kdb|w#p5Ybv~A%n?lMW&#D|;Nuh{pX@us0~?pcpVaO09zPwWTd zR{$jvz3-ty9(U3BWIyVj4DlbJC4?KF|2l|g0`WjflybmPaXaRCp+C$FpOVP(Q`%9J zSp?n_%VB`{kW&A+jIRLsT;v_#6TpA0QO>LcZ+9`WmI}V1Dfxnioyq3yxahd*M|MyOT z1U1Gs1_-YvqbzExq> z|C=H)pN=wThqtckoQ^)cWjBLyataj@!pE8SD^`+7oCy0Y3yjbouFzJf%>YPG#5R|W zM#PG1xgq-^+P~lekq#*6F!e>bLLn4s1vL*$)sW^J`*J!Op)uzF*lr>(#(VE01d5Ku%-v_1iu#pe@bbjruPT zkLHCxo@Ec>Q1>gc)DjZw4$DjnlNb9AI!WM2F=1-$jStVaaGD$%c$EchF+}%)8K1)P zt@#V*wL4)S@eO7;h;in@_J1B#eLD&A)Vf@{r^l5zt!&d%D%BRY=PJHxZ#Hk@L-ja6 z45f`(E`$QHOD077+T%2^YtI`8v^SNCXji<7X*IcTS8=E&ioSpy=_9J&pL$kza5?%T z<1KX~8t}o5OZ{7wgN*C$161$ccHGoBDE})lP&Gez*J1P@6|dEm9nC|h5f@u1EwZNA zpY@cH<9;mymcJyGeLtrP!=GG~d4hraHQR^J<4-`JYB*TsD3ItyC(M@L+`yz6=(|(_ zT_v!yCWa6sk2j5*Ku#ys)=q76g?{lya%#V7E+ZBiakyG%GJHKxW^QVqGYPd%?}tST zmS&OPb3Cx@?^n&3JW-lfHj*>Kt;FT|)iAvI7Lm`q>O&tuQ=Iy+nP^E!CFcUH-iSC* ziF;Oo9f~)tMPCh6fG1a(?t;V$84>^yO_cOn_Y7u=Ure`oyYnvD*4~7Y;_xM!L4n z8<$!-rg_sF+3E(P_C_@FF}%1(<6+B6HK|V{FhY~wYLpXN(?CQO{_}uo z_rcoepY?9{4p#q)<1Pzq-}q78Evw3Htt7Rm;5@UC0r|LXA#|$9V0W5m^cW>^=de6p zCm-;%s;*;Y{Id=jI~B6Q1^m)F0B3BiEe%Q8mVmOjTW!kr3U@p+m`+rHQQYyp55bBB zO%TmXGb?^FKnrd7(;Ku@&M@}@fOiN#jvy>+beKB5zGmGyLCf&fu>D!RBJmtwgGc0X z9dbhJHi^zgGRRF;!)qmw|#j`)(KJ`)9(r9!Q%Rw-MCz&E=lP zcd0S0)|P&+#&H>sQ@eXZBy3RtfKf(Gq+taRa?wfI;A$|3k{{1*kIT9J78uK-fH3aT7WX73K^zK zHlci+yF?|)dFR(>y#j*2&&7^-35klku~Q6N%)g(CZiR&|!vT0hyOXYq9Zp}IWcS=i zud9onA}PZ;dj(|uSfBL)y}k>;C~Abbeua0NxP#P{_Re?{RB(ruJB9Xm|7Y`3^$ zN_=*SO+Gf`1!BXqvfH=cOB*=EPT#_xN;I7KklmR1d*Z_*swYg=vh^UjLDc z%Ad;*0_Juhm3M3)w1mqMbh~n5oq!*LNC*`FzT!J_RWy^{9Z+@h%)(X6q9gS%)IT>M z?Gunf32yor$^G9i0lrOzg^7>PZpMRw48nKlg;I^fgM=l~mi}F*E~jO@*X&lTCXl>> z+V!tPMmZWE(<0dI_Q16(Of#jnP(Mlr(|`$unV&G=KG;RPe>QgfoyQHNSWibxN31oB zJfm>ee#Qkf5TXUG&u0T=luylZCPv2+1W+&{fmFKvCQDs}5fE$d$jYKODL)IQO~o`Y zw_N77kzfe-6z_*T)Cqk$5@zHpzB3f&YGojq(Dc9!JXhOe?v8*!EZdXQ7fqp)gwd(A z&RXgy2sh`LfM~P+;vYeu+4sLc7l5H8;$ra7u@#Gn(AEzbE2;SxbL39bRy)^1S-Nc4 z!}91R1jDBsj`B(Ak#<0YLV_`e2tH)+7~aPQR^Df04|?AzA}9xeCVnvd*itJ^*BbcT zlw-rvsk6{W19bV4?@{speD`{sBfr(Y-yUdD!EOV>(tr+>A=E$L;RZ^EZvw(Xa{1Ys z+L4KIc%O)sl9H4c_XOdfh*Huab|4Fp<28>)Gu$uR%8(%9#?%C44EVO&G-3f-Qi7 zprH)}n4Nd%0L>1D?YBky4ekj2@(y{Y|BmHjO@rrtQDa&TrZc4;%EH9ybw9kUZI$N_ zAt&;kXu)&=CV)0%c(y@Tnog&`zKr`SG-S*w0TnNF0~#sH3Od@WoS=V%JRte?K}-U+ zxx1ruBrlQ#PZjkE#kelG;R zpun; zCah}&-^-_AV{ivQSD!1mb4~0qZ|n0;{=5KlOd@9$2@V-+A23PGVl#FyC{`235qj%N zAsS^_a?%@WxM?7()=5#~v`-KfwE#rijv7FI&@fl6JzO`;b=uou@U5JWsXS=SGxf*G_P7y+SpRFGxk%bF zw)T)7Fe!<{NGsY=^%ap#26G?e7YUSY@MxG#_cm+<0s%xB3{DQ9&=`8P>ihD-+0FED zs1Bfkc<^I$QwgAqUuTJ?i7c$}8tKnGqk=;xvFR;GQl6m;!3KOmt~jf24zhdUDsOB} z6C#0D9RStrxSYFY(+zeKD|_52_NzS??=a<-Ql>8cpB>R~;0j8~*@svx z5^5$0L+2EV#M!NrNFo&x1-q7Dz6p%{KpqLicco?$0BCcWb7ZY2Oe(3i)W5{zoMMeS z*d@uxWHtY@dwub*upVQSW?~a7VP+9RnFh;p7t1%mOJ(}Gv6tV=4}$9$y(Gq z91%+CKh1@U-f*Pg%O;-nmav}8ES)F2fIDI41BfBU{=JOt*JUuGerjtchWk4Q{QGlC zdaU{R>|St;))_7Df|T9sToYvh(0{=4#Ls^a$f~}Y1P7B-z#jwP&qTtnWJCd(C{{*p z*KNAAg{OVl5h(#H5+v+pZxGPA3O#P!tX{uO_0r}_-TigfjU5GKTRsz8ijM-~8&EHT ztLF8~&4ZZLJNKwA2ijwKzRQ(j_y*`UT`Dg)<6y4`IhH{Hn^5-V0mwu#uba%lwE6~mnX9VnmH%|lWdOmqCR)^aXMwl9MJlm@iTuw!Sj`|K^ zNiP(hPun1HU?SWcE6bgb4sQps`LMERFvI{vBjB98k3?P+zrev>>Uq{jPeP9~Liz_f z<}E^P;i0G^Idx30(6qwh_!ySWC~N#m;+OG-cqohM7S|T?#+(TtsMc6HlYhr*;qHzb zvS+~z!Qg|wkDGbCbQd@%z`p{d6EqlDglGxnTw>4^|6P0)yo%16lnk>dLHU}1kpL*A zk)ClwRJ-DIBagTq2=g zfZtS5vmrLnoWDNx8QgScB~VP4^ivFaY4QxWZ&y=Z*ejeCrmQ5?ddnv@6N9^kDblp^ z-4!+T5U|pYBv<=>!Ye*`HtaOA0MKI`wLWykn$$6K?iU%nILETUpzmcW_jdTKHJNl4 z%O`m)G8k3!e?D%CMYOKc?ArHgQqekyDHr89dyZ>)WD@|`Gt)5+?&BP!8$MyWjt49t z5DS$_$e`4b)VIS!HJp$JNlN}_6)uV>u9|0s?)#@jO)LcPy1v?h(;Uda!3W5|8F%%J z-W#EKN*)Me+2y?xFaqK`oyuLdf4hK%^*Z5MM8(?y(HI(vdXR+t-Gyyak%6qrjzVRzEkN)S5-!3)@aG}IJECM(5z9_k4{}M12J#^(F6Ru4@makxVwxWr$WY(*A5z@2s3}^*r5)j9fI;J~ri_e#3kenPivb z+AS@~wha<>6ldh2HdodhS<$fCb_d;sgPe(u+OuzELRr*2iifFa?A;##|;*GSNGC>A7*r%Ytur z1`eB)HLXkn3y*$mSL}&aHA_Pc>V!km3nM}f^~y%pkPl0zgK!C^Y7&E?~-`C&o@<;6nz4Wmy`ssUShzA8KSq{V^6vp_(o1S z@kVz~ot#T{%S|_Nqc&z?m?l`vZ8{9pV zQkHE;Q}-Qune?ebIX#cMg#ID)*|I4UC`cp)Y8KD}49DT`CbCWXH*Q5fHisvJ06-;p z+Jf)k-xP}5k2tuq8VBYN!lBlp!MlLiSyiL^XtrA8^?Rf&4; zS3{7|LjXKcHTyOlG0ZBd)v#4U42wLXI}ma{C~-e%W*$0ndO8EK`ECwtJXqfse4<&KIUBesaoH4IIpDDrR0dBi=X01tiK9* zIrQ*oLO$6I8G2V*h)SC6vUU!Kuzz;LSn`>{AKE&(^{&3=tkg;;b;+H+;j88&2|Xf(8tZE9@*P5P|1J3&+0`6gIkI_7p)SB|O&Ls_v zt6{@QxiwTmi#(q_4k2!x(=iz7-@iM%C9n4xx#X7O=^SMq%hBCb;Z79gtRQ0F4+g5H z3JcR~Y$!Nl?UKLp&*fJ_$~4s#g(@^fMz^cop>S%5TS$qn>OeJHc{LnEbdjtyrq}FY zoc=w2A;m!TkJd7OA9LZkCK-5pI5Cx*O3!hJH92EEeH5E4<82v9$?IF^-yEKcwTXR6 zY{I%<7p_u>%dmOd;U|y)UyxvfEl+R}^%KyuAEsU822juCw;Z37Bp~nlG{^+N#zN!* zD2@j{$}}F7ioh|11XOUaXu99q9@D4BTb>pZKK$gO4kpCvlr&Mmx0hJH>Ol7h=R=Oj zLm^|{{etd53?-a^MA;`5Ka}am8<04juYF`QU)c-c_|M`671cE0rz$i>N3VIn8nQ*k zyPcD?CR~v8!F5?h?wBWowQ#biyode0v?GYMHtlS#)t8hOqus$uf*(iCz1V_M|4w4L zCL+v5P2{Z6s}AM$es6Lks?%idc5-w370F`4>~Uo{+``@$<`GR!Q(Lv4@B8fBxWGvM;UIXlE7tS(95atiK(0FPn~ zrn+GHGZN2w)<81>t-EzPSGnrZT)VB7S7*iIz?vm-Y@`hNC+MVhTWZ9kp|-NMv*w4| zd;v#k@3QCFeWrJ7M6ywSf!E^y>=lZ@2LcEB6%W|E>{mn?@kvNgLTH>;);M@PY^MXwpRGYvgvj4KO2aiZW8wwJQj15?3i>X8t46&L6oQE`g z9ht5WG|(MdB1tL|Y~h1%p-Z}1UptcI@0DV!g%407*B z-~$F^e?#LRD>QXEsG-4w+s9x{ANN@GmmJ3<8khY64N@bSZ=gH_px@kKRA) zDO$hkeHGPtVUARap7Lj>mQU3T3tmU2aS9n?@QqZL!DI5wYNwBaSf2yWm~(pUHL!?W zBM?XdOo^cLow)x>U}355;1k`{|2_v9?>4woGmUk13!l)0={JjL+0Oq|9X8G?A+x1P zpW=wAm~{2NqiU42nS4pd!@{t(xsh8aR!syt5SenIFyo1pKv;8oWMVB{5^@D1A+NIz&h1$sZ=?PbLM0PvIq z1-uhAK%lX|6tn~jm!`pGd8P5Uu`+4C* zZ2`;pHg>TOA~iNPF=?}FYYD_YJM-MGRz=^u4Ait)U^l-p`Q~%Nye`2ui{=)HRu;}i z-$NoB4IO}xVow7KnyTshnYIw6r+ZaUR;4MNBcdiA7LHX!$R?xd8T}r*KBh7!7ZIV` z>2Ffn;k3{(ygfg?0GkUiIA72gG-d^QV(O$-o&U3kFgjMSw*x+}iJbGAdNZKB2<%-m z6pYuxB@SYslo$E;#gy=eaT#hH@H@1yaZgrPWjV9-@KTTSB)BkBjNqZAR$)VWe`C8g zwOjg!Tf8k$mjmrNfGh!N1XzPB!MS5lJt8rcE%m3 zQb{YNeHP?KtE*Khd}Na_g?QNrVz_(qrAPU^5vvgk((tdYM?r@g?DL?S1z|qv$8)SM z#?KTX8CK$dKW>a8JfbDNM6;>QH?C$hYE@2!-=lXsZ&|@?mPox4 zJ!<_*(XeP4bWWFhYPMuUnA%$K5!Oj>{u!&B?-N8!^T)#)Vh)(Da+T5k)y~BUj>mkI z{tZdC#L9(?t=`t%3#hZ&7W22`2Rp(FMhEbUn09J_6RULEo%fwzy-t7;rT22&Eq5iMX=7RGcN9O`6>0t8*n9o!iXys@3*n=N-kATtk%6;U^-h-dx zdw=+s7%+a&v-XW{i`5_5^{eyU)0cz5LU7ma>7i^mvcG{Eyx*u!a!;|z%H)<%dEcP1 zP6CVDQmoD}Vde&$xNMuRml9bx-su0KM)i1%|Db@d7+RoIRgBLg*>m5ztpvb|gTx#_ zT(@gH%MJ$caw`n+d!{pNaN49JrgxB*vDGkgXDvD3D?&)+iLxXVOn>^91p{C@_J6p9 zET6=LkjUXXdhe!wmpQMk-(66*atm9&{hoMn<1eVeW$ncw{B&0UpBLEx%&(ceM$}nq z>db5DOQ$v5>Su66qX0Wr@nxid2I)ei0GxYvldXia`_N;ujf)ru=!D z;c>UY-Ny<;#M4GN{g0rCZ5dB^T(^(p*8bES3@bfYLD^ zy)5r}q9ag^_2=x)uL{bVcY=T7=-2XH8RMBS_XxPyJ_|~ew6aHwlL_A6HHX!IwWPQ*!V|`jga0%LjzPT`< zPFp+YU~>M1@l-$puv3EHd!E^PSL>0l4kEkx0iot$rE|DR@j%#Gzq0{?3DV;Rz4gspI>R^wIkgGY|aUozBX`nNR5nE;Htg$JGiz{34myVvufjZLH` z1^xN09{ljhu4n%7U-Y_vRMu*^GtK`lT2g2IKtFCU9VP=g)!TPILZL?tMTj zmLkcY6z`noQRPk2(bVG^k{8yb$Ig3G^&bwPndUTtXKvh*e{RR^H)h9yg~^zq@?5=B zPg0hF_!_)p)>uD1*Kgp5><0s!bJcr7$shx>+D+b|L5%vs$aAg)ZZBYc0JWDgSK?R=d(5JA=e?DK z`?d92yTcxA?Oss)nz;!4GO08sd?27Fil#S%q&e^%xvyS|WC{E=i78k1I{dpq{Q&>Y z?v;f&@>}POz45gqw=ff!5y|d=?7D#U+_l})x`AT9BI*w0q3PRmuD@%G0A%9OO|e@L z9wR>%WrsAgP)_CBj;DmxxbrVKLrq|f5?V4`hwg~EbJnH_YW{YVJ)7P)OV@ZjV{-SY zzSaP=;J2Fb6);G@{#Dp4d{mNXNtd5iC5hFOl!*9-1*E2QV>C9moi;+EIb+s9E#Z?_C0C8L|lq!6`( zwd73|XTK*`_y?VRotQwn*kS5k=a1I)p1MEa2Taf{b_GtwLHOsBU|1;7`G2L4c z1^VJA0iF2J~%}z&rM)W2u?YZ zXk40oSNu7*HnpiSiIW6{0Hu^tI@ZP(!UXPapWMYE>hvoH1weFGAWouBZ;&I=WU=_O zl1hPMDQJ5`YU%nJf$CnOTV&78h*MSgwQ3tG747Ae{9<%=^=W@^Q?V=>?$YiX1Ef90 zn^hk(rP9!*&oZF-D@u*_+s*sk9mQ=9IqlR8MLc3qLU?Ii4*anz#9jwd@`8@Q{($+apj>{ee_cGYlwT9hK+GTH;b9}NOok}nfU;N|K72M#A=VFO zU@xHoFIwvNfpNN-DYGeDoMuE~$#Xmyci-e^<%k6MQFR|=08)&5-l9#B=&5%yPZ zHf~W1fHS%3&YMg@OaFXWyhvF=9sT3ECsZ-!r#gW1jNZO(To!CsbI2?F4W4^;{W-v{ zof187dNJn6=SHqD;&b7cm7ENUQN+9Ayi%Kmhc9UkAc};wBR8dlwx-b!!Jt$Fz~eaECUg^fK_`qY;$CUBWi$rHybNSqC< zLFBz`rOCpdd`6DU#+FxSxmzS2unnu4It#?d@&8Cxw(o7-7Q2A`k`^fW>lZO4O?B&7 zJ)j~sZJl5she6v`-1~6#*mL0OllHef!<_aft3GCwR5&d90EIG>&40Vps*@E7w~Wf? z)j{1J$jprK)+2w_;7nCx#TLh2f{kct`FQZA;En|A`EQAAW+e1+_hA z@OhJ0>}t_JoMS$1dDlka%1XzpB~`#E&ra*+qcDU+>7eujo-nwgK>)~HPb7XX+3_En z1xUGO!w%n0xiVz2x!zu=N&93|=F#mQJGemn!WMz>A0+{EQ1yZBdE->?l%pW)qXvcp zNUD87i6}DD!&~q5WqZuI8;Axa^wI#!VN0P1;mg5SFcNY}ZAH-=U_5ala!KaJVST&= zDbO#UG7A9kZ|26lWe$B=?(E1HB%u(hf%&FNi7@UT)9YK;MO}yb<#EKgTG&N<0UM!% zd9oOsEc${m8OHs&%T7$wL#eX&l5MmMQ0jFZt28lrQ%Z3mxfV~=cB8|Z?{^0HNO;u^ z$Z+{|%=XWadIS2^iohXxs`1L7`|l;ulrXjs*51>aLP)?}*u&ef6 zF743JV&l%d9y4p;y?`&5SkxEOvOIK=Lq6*(+x8n9v)I4K-kGHuYeVMUF}I+X1)?L{ z?4vAxt?F|fU*mwMGpo(PCtqW;Ek?)F$UUi&vhFTg1@|q6>s7DCs1f?D_YE8>+{lc**bYGkSWxjZm#=rYC^l2_!8sOt;~3SpjZZSGO`+ zZqyv`X)inA0PBY!BnP`MKTp;9RNmpUaCgQPZAGmdcgj!_cu1tZ(15%yVgyuePX&S7AJmYb^02n`#pfXjX4En`BBuYTHKzF+ z<5f>Cd9Sp;cIip5)J7c;6mt`0B|ye*idvZ0$K2o!zlc3-2f0H3%-dk~?XKzful8P< z;S-?Tjg_fCv$B*wW-HgRv_&^n zYU{F8g&h?U{BSE{^=2Z=WW{5sXKSGeS}Xr;iv!cSYW$<|0C~Qz0dw+-CW7lGxw4vU zK>P5`SxevPeZSFIVthAYqUsb5GtW-n%5Y1%^G3mt(C*R~&5kWfy`)J>4o*=k3^nAh z1IinDAZPi_7iN)s?{`~<2*JCvK^&(>fsIbvEP*2-A^LY49aNUmk_kB?#3;fW2sNV{oF7xhs-RQ>d#RY(S$w{@0 zYc2t8d61FJd`<(JqUD^`eZ_^0X1=A~x001VoK3hTJZUJBBM!E$>w-is5Mp$U3?>Np zv_UD1)&=;9;=syp$4{oU^JzP9;Z_}IbcI$P$Q&v*#EBRif*#iOuQ=3M`}(ErnN_9M zNmmUA*W`YIe9*ovQ#a46&-5Da@3UuUME*vnCOTvhO!GT|*|K?j5f*K1i~4_5eF-?5 zS^GXp4b$ojx}i+fUaHhyqMK?Wp-C*Yx0Y%UYTs$6E2>(FeMyT%QBqrowHu07T0vA4 zttGYZf>{11o!>X#_n#}5YdSjDmGi#moacG&`+n}n8`c;Xnmy~&s;#g+y}m!T{ff#d z;CIZg4>-l^lbMT+@kHW!>u>vinz)v5{FtE09mZ9baDBKsG`ac`z^r~iGjkp%qzov* z#9O;Y%4Yt7JzTicB?Y4+w{`v*7swj86u|AM`N_C_aBI>;1rhRQC`M(zpEVb`(-9Ms zai(OobEu3hhbf{{gC?u92Z80Uxi&-jqxDJDeNR~&7So@MGt`@HBNzlG$S7-^;#K0Kx#p&WG3aWF}I3+DX zNb^XDg8#~?k)E!UWwt)3{pOH#1F9ITv(|6y{pk zbbR#k~?$1T-&xzM;jH0`Y6Lrbcx``U0{PJ6&17$d1lMd@E4k>N*x~ zf1>dZF4b(!evw9I!v->2wNw?r{M z3b-`>omAzh%$NSi4V5Gt7d5gRXl}!}7dG9!)3>$VeK4Nq?N$TOCIRJOJ_h9BA`iX;=TeX>zn$un zIsNhwBz57RBx)L1>XO%IFj4fm_4JNQ|HlYq9oyNo9Cox&+1`xZ;WHdNaxhkl7}_QA zEckm~E~c@zHbgZW!>$&!;+(X|^7D+SvdjLn0ROOGalbX*Dso8pY%aP>S!Pn(;aJ-!vxN~eMlK`QmR+MzQw ze%@9Y{>WFdPe0NseO@)}1EcFex4>Fdx9iWf=9cDPcj(f2p)>A#@Vj518Wi@H0*ETd z2Rya@RHFN@!$Q5GoCwtF*EW`zIU)m5%!yS{Xu zmaWT)nJ;;!1qt}hm%GV}56IeOh38BQ#P$K@n${o)wN?5-M-}7pa!qb|t0c9KZ%1Bt zG!;Ibd4kxTd&~0qi*r`A4oES)*H1P$DD?CZM<%0j!qPKN(}#vtf&&eqUNC5Mq@HbqoFi!8ewTl8jEgs<6gP*V5`rLIOIx&e_t=lgo07 z8(PzUd@NU$^Wwc5QDj{VhSfX>C)YEou*om%Xf^`cbUJ)`@{oT7C&ELleibqn1wiVj zzaVvB%>CG;#%2DB-6=2w%R?6rlONbKY{he;OaL@%{H?)zvIs7dva=#{YiCo89&^UQ z96sz0>}-xXSW=m3vfRR9N4W(jaGTyB51 zhTnM&577I@Ur0iR?MWt<6*4o#^WprjTx%OvpPs{GJr|Q#EM|V_S!XN;w5!*>NSY}& zFV3;4!;L&!(ZKG7Nt?=70_NYs@BUP;s?8D0a2g4_!71C) zhGIBkxW=W2L+a&T=8@n>9?UK&j^HD7{v&^4bo6_q8 zS{Xy*hQyUak-ZUDW1E`(L0Nu>rIr36X)nLJ%I0-mE*kT?8=Oh6EzA^50n-k-0XqJU z=q)$B65oyGYTnE#4@ljTU+OF$G9K)pdWwUjnLJ{jw4omEN@l9~Bl$g5(aQHk<@bpZ zRj$t9W8zG+Nu@3*v0K&(hc^t^R!q-i*!-0~d94kf)HZV|z{We*n zVVlMZ(+dV*5NO&3RvQgYg13%{s&$k<(c?NkM{nx=n$Z9z;N<)nG+=sAUDl-h<)zLA ziOGOH5w!QSN52`Ts8&VwBQ`AA@!4n)gMr;F=nV!x0WI!Yin28M2{v&oy6%H5z_`m* z!?*F}0FDOsSv{Vg2Ik=S7ShO6*rF3F>H~Iqi^#6s-d-5&9ukDOtayZ3EV93V63u(w z?cs=O>oeieiNzVN&yZEquFVcyim#XYJXieUaR*F0&T>&mi?%rgi(GsV!@rh3_pSPb zyU3ki@GFynvylAJE|I6PE6XC;fK|NxNOUEX7E8 zl6X4a$}YakJpMY<;C^s;jCU4RCUDaw7sq*}jxPdYe7K@VhE3~Nr>3;c9MhM3vlpEz zu`iG0#-cdXZ%sG)qv3qTsy$w2`bF_~CuFaOt5uQIPc~3i_X*n>_paKS7|tC>*cLzQ z)~VVz0O2;LsL*1AqQdr=#O!#3aiOie4UDzn^?wk@YtZ}j)^gy+Q4$fna;IW$U-9cB z7Cet-?6(j7Q`LmRcs$padExStBeVRFC2|})Y*=F0+4%e7@tq2LpdAbD4}x3U9o4od zdU55ETFU#?DpEd4cO`9F?ABk8m9(%s%1=Tgdu`my&ArTvD!UoMs!F6Z6!1;z_Bg#| zM}rEyXg+ah6O(054 z?6j`)1m~Zns?99`vsTZ-#qF#1!QT}T~}Xoq1drK+6gN` zPX0KopL2Gc)bZ1=UifB}mjub*{@Psb(&oSk@Q!PQz4WXyI2P<$r4i)4e%Sr6S0;e5 z(@jV&C^R|Xm{eCV55)HFG&ShPKlOH`R}6kkJEmDtUbH&6N-Ew!E|N4IX*zdR9uifQ2eDdO7s=p6}p7~9(?Sqcy@b7ke zu--wLBf%kglyA6*d3}#L$K>SmaId%zqq1AuD=n!zaSva9EONBvMCDt$wY=(Wx^JM! z#?7&#sHm+p*e7|5uui2~AdypPEx26pF#kjTCDLy_oCj}lh3+%9k_@~T`x*O;`Gu*f z&)60(nIW^Xwz<4b>!UelT1#Q2r{jDT5eXVCX$2kM_ue#Y;zTy>j^+&Uv@>1g9b|y# zg8gmsPUF5hi0dPb7DEw1p8GvBHj>60Q?KVXq0c6&nmiF6iv@4fp3!#OzNusVa zG^AzGLyco|yPZKDtSv=~H{TB&f%Ii2wYFlxPLi{;ZE+MA=%mqbKkKMeD2u?lO`a%Y ziB^Zt222d68743w!gQre0Y3tUE(C~A_b&wlUsW&@=4*uqx5px}mFHHu>K82pY^0O5 z6d1#EY2vca1I{?hQcFfk%KM=YmiG^um_W4xF6g(Ol@;x{+)J_7R*7SIIll`JHM^Ag z`7B4H7fNXh(cjm*zN3((lHhra(_Jljn&$R3&Sds4-x}gPxNW?o9$7J^*>cGBBWEOJ zTW&sa=VM*W_LTaqm~{)@p)EyeEK~+>I)%wFo5h+TCnJ)tY)BgyaN1Th61;9Ob%#>L ze0j>5V^e9|Gn~(3HSJeyCTvD7$PA*5+>o3v*`_=Pm>r(putlBV+xa=fx7|kA9X%p*^G7%M-MaYK-jd9+BbpjW>F% z^;QQfv7(Xv>CLBIo)}=fxB;=@D@ojRa<`D;C$>@azMr0bpjl87_i~E-i4!Nf@WBe^whE>0EYQK(!InAYcZlXU+mGcqz@IH{|F|2zsyee04(5?f z*qv-{TY7uJ*Kk}1N}jTQ`gI}@TzDs?6Tt`@l-J!p*;{JjX)khUEFdzT$YGV0>8gp9 zL?+0F8cG*vooWtsWL!}_0Da6#>Z7Lc_WLF$rL!y&*>yu(vv*3V8sp5?H@6GENi5-O zcyF#uQy3FX92uUN$&d!}R?SSJ#`Ty@&Rq?egHz{+f2=cM$<6$0-(tkqVq?bNm5w;Z z5JE45AQiK~3Hjz^ey-)hPYS+p*0~vFpQ}~<&0(UZR9@N@R8f$kjEnrQj{4b_mXKS6 zZfa8FR2v`o>qti!ifm_@X=;vLx^0spFS2i+?(XvwVWSdS>2)&>-ma-@9~(S|E)@DG zQq=#i6Dhb3%C{JP`8V`QYpY}wiOMO&CM*~PGy%oAsi`Tbwn0r`dzcKhKs@x{J0Qs9 zul&YZ7!tfUeNzvPJw{ov@8Mixe+u43m9F9LmGw$}o}1wUQZz8r#O$>%M}N3uj)xrc zGt((u1Nwi9`LA)K3D%m;$rzF)lvV(q= z0EC|$Fc>{YbmDk%Ia^jjI1dN7llw#~|7IM8O^ zU_;cr=K=5Y^uH`{!^-MPiFHkV{RP{U(53Ocak;PksqkHQE0;4{)6IU)iWY8clrGhi z^B=p<3knJ<7oL_9(Eww1=GYq2iF3<>V>%#AU9UI{_SyQnKG2WA{93f9Yj>z%NC#*E zeVD55{9}1p96TpI2xRb(W;3TABVlQEZ$0vHxvF1SSS$&HqM>qzLUTsKx>omQ9B}`g zZ`D^Vj?djTSG6N>D^F^C>$#}2i58k(-`cb>SzN+uKIAHEe*e&t7M1trHeXr}Ps}`< z*La(3ytF6IpkK%&d{!HPRzvCG+PpyG2WHUiB?cF z2s)i{y@PlrK!`q2`-6>*{ix%z^N}Nk&XnpkRb!4H6EyX^{D%xPUwO>7fKELoo2NC_ zSk>($aLk?`;02&z3$I6%%X`^b1^*B=W8hKOSwXtTgh(>p%oHAy7I^@6MWJQX$wLDe zuQS(d89|~C;r)w-v&Vd`KBMD6)dq${%b5Yzzh$@})S1kf(h7t{6#AT|QSa)=zk&tK zn09Pc9Jx!n=&EUJEXjU%)^!%+2?9=JogUBpqEx7#$maQ`J)7@hBG?|+TdNDZC3pI- za(`c}SI^rR8pK{-xyG6Mlcnxsa=h{O+g`A79=!WLb5WDnEZ1I|b+ucLWIkqX3x<)p zU(Gxj_kN2)bY>%-P#O*lrJh#DHmGYm7Pq|~xUkg6u#7;UUX8EP7|MHH304Z~Vcye0 z;eLL%bCqs_H#p{>-rk!@`g-U>ey&M9OD?R4b3M$6liYdz zlxnJ37J*Q3w{Vakj@#6I_9MGe-p8tO2@;3#j+QYdGj4N6`&Smm$9FHSN3!%!wH#`0 z`@=OyN0+A)Qn$4)({Ym+b6_oG+x3~mY=t8?vU5g;6d#3U3=C7;b{3asy<#?PT^|Ry(^c8K^Ox5<=3k0o-=1i7oN9&BVlIqFIN+NsbRw3gxxLP!Z%td%2qk}nB@y_cS!!n!N z&m_Dd&LX}$cQ9K&cka1>{gIZKzH30?a)5HT3@4d6B-wxEv2RRFsLXy@mM1j`n2-OwWZ#woVh)~Uqe39>)7d@iP72l#Wq@|?t`IVgu zHb<{2ujb~v5r3m^7s0Vk&dwuCG-Fe`)|C^fFN%aa#{BbSNH9~l#??U#*^L(C4kfeq%o+aY)m_@>hcrGG17=9b|WCsSxv5&lCBrknOC> zBWEJJrHeNW*{zjwik)b4%_D8s&gqBs2V(;mc4IfhTgB_L%@u{r+EFA!+xvq$`6?+N zro=a*zMQ=zP650w5CondT->;cin2|?yzX@=yVQlhVHP(KmBb1816Pe@yVds&kbLZE z7Srw-oUHa6+y$m#vz)#~n`B7Ovt#xhvRoWZjC|#On466qbF-1}U^w#_FGgK$L}WCM z%!%zg5gm(CXWM1vN}F7^KfDZa-=wY#JfN_>V*Qy0(x+o3sx!@2o0ndC=@}YcaAZhA zzohA@#mPb;!mR_Y_B&>3w`KP1)-y1G{f#im6o#gxF@hStuu&ZPII1}#cq~uaEV3KA z%!5k8DR(JZd{xJ{*(#U^B{22$^e(w9$E!EK2BTyrCY0~LyJjbrn8~_DWLJDuU9nK> z@SmF^&&BS{`m-PUm~src7~+%1!UpWBfeyRO&A)1 zD)%S=;sn_V z^T3@$H;=EZ1c~N&|9)BA1a=doI->Y~XDiOjMUB$qf@2E{3mO|+5XjDE0BBaP4_%P0 z61w`sreoft;_!iZ0gwWWFNKNL8Jcn&<{Z3s=M)TVT`ZK^Nx1A{x_+2UZoK%lRPBgM zlVv=b`>uYS%SaW&@UBWVZQ-lOzP})JV0B@1rI>#HE(&S`D_e z$*IJed&cNml13I)ik|R{a+b0{uCS$1uwy}7|G@n7&@2u2mkdLaNxA~)$(7E9CynoZ zGy_XUiD=#iBMVV)m)DoL3OhX`BjDE4di7-ArL^*piLo(x@JdK@T??aD-HuU`C!_})9JJO;NH zsw*{(@rjs$cr!gBo$gIgMnpk`6OC~z_0NhohS`6=cO(o{*g*dzGK;(> zW>#w}QQ}`*qU!=Tm+5Nh*y(#4stX?4SCHQ=b{k z#?XXxgR#6-{T@?TKcq54bNv|S;YZ^7Y{bU}PF7!B;WT;g)bwvaPe(<@QQ=0{BV7oXq@mnV}61 z1t?WOScUdcD;7v^4Ig$JGWAeb%dO}RvLzY^(noyk?{8y~`b>0mHq*W2x z?jNq56?erGRf9-3x&oia9d1YGp1-d2z<-RBkARJLVZvqWWtgLEkYtMm7?L;aFB~`*7gy?Dc32nm^%OYXV9GR;XfsnXm z%G?UFx?vyFEkbof_dnOvqp&!`8bgBSqs2nzj1Sz7bzv2VpcBp-x!GtYBt4oqm$EYS zAY`U0lwkQ&=V)#5!D65DG9k~~-caOj_;CEx*!srEw6XlZ=5uI6* z{6YnDs|?g3ZN#10QnUdX3k$*P+C>kfoEYW!d)1K-eH5Zajk=1Hu$U&t3qsU{tb9*1 zhR^XP-v}B-%bOYO&$<%PGu~URHg<^Scw(<4EdU>e%#xNG5FvxXV<4k>%Ob=)2J7&k z<$%oH<>VnbWLUrwWzGXBuGArV@ZiB0QxfjBJ|7~tKU%7?_q$I}+%#Y5zsZSt0yf;l z0$8t=6){FE(WOO_7+>;BKBL7K9?5Ba%nom(?PeY7kaKwcxtLvMTsELT# zh|RjLdn(f|D#47}keTC(WMN^ z9?4f?nmRZ+w_IrX}76@+mR%qJ!=60cgck4Q;f z1^=7Q{>>~HJ*v~-|_Za`C1RGi?L7vMG$%Y)uWLM+g8#YJxe z4Vpcx&LPDyYPG&cP(3N5-gS_E7CtHl#7&^+0S#2(DWKot&jal5txMS%N5;fHA>_yL z)tx7ID@tv~RA1@mmtc?ldo(mGl0n^CTk3c7=945MRVy#<=+y}IP9+BZ3TjYc%HPO> z*_Yz~sP(C&^?U4v*n&IZYfE)K7Rjx6nrJHqad8=Q}vPSqM(X5D?}(f?u$9W~EvJaQ61I`djA( z8J_}LuUUp~hBv5Q{x`>3Ql9?{BSEx*$1kq;&1poFN?wMg-ffGO5N>zq53m>V-=vl- z>%|ofEG)9XLw-!~qHm2Q;iy$rM`C6-S)E8Yhca_KZi2#Ci9mb-=tjuQ1C~28tV0Ox z6c0{0AaZdyF_6rH@Vy5BQ~(eMX*&=OVQQo3TFO<0iGaNWe#U!ke^7uh@xE%$U3bIO zg~l(e6=btc$AWDVP+N9spz$YC&G7E&cDz50VnDD)c(+c~OeOB$=vx)!TfO;hwN>c% z|H)Q_LAJsd=2zg}^BSw7u6SW(2??LH$sG6+RmPBW7ZD4~*!Wly#wZ)@O|!SL@Au7o zJ;tC&Mswr)R`B^U){7O_1LBk$}%)jMtD{e8y{gzYegP2h^qh)r>(46@+pO)mWH5 z<{w*Bq|?60?DT`j7R`SWS{jg1THdxUD~YlXIa2)Z9rh7D{-z6G+4gxLfGX#THv)*X zlP~Vf#s;N(h|=xO)VRE?F?KLfeb&NQj9q3{i)WsNm1-@BS7+MWfhf9oo=`da%sZ{%-$N`TzryN`>JD`RgPi-m(lqr zd0*-dd!qFz*=z2+cyL{pmxe$qyRha9-m_H7DE0n;Jeg^SO^vKG@QP~ut^$=T||f<{Q^vcr4P z8OL1JYNIG0LJpa_^lDCHNN`ouNMHXA2m$d2)ww-BfSQ=I<5AW(0EwQ}{uAozWmi;D zwh>H?pJ4;NvbTjS8y+xA6MQlW@lci$($~kQYYWy!bG2EgeK%v4dibc-k}er4Y;98b zF|&~qM$`EJiP-|uB?TBsyGbdcnfcEbpIzFPA+idJvUB$58fXzNqDVrbOEn^GatiC- zi6ziSyu@6XAF$42S7)P`oga+XK)OLa`oOhv-Ig?AD8236*Qfu9)j*wlA-2ErgHVEzEf^;PFEu)X1iIKbNMEyDlYtfSq}ojGYniXHV;_ z*J3{n91tKA|L1$k4}!r-g}N{k#FLh!03L9e*OlT5dQ95ciPR@XZ$drk009e5v}!2L>Mu0+VDa=VSH=CFrQZhXXZE%g{?rdkHk&u0 zK)co|+6S|=+=YyA^SOCZIi=XU)CP17xal)(kw2go7S2lB%TAz#K8vufyq5y zv8M&(7_a%21>|WX;FkCm@wt4ABSRT#m*NgWy6YqNt-EheNe7&mY5$G_6H@ZXFXFm- zJd?wTEgTrRs!^Kk4&OcWz(K{njcA|OH_oYS_4F|gcixpbaU*&`PeeonrI}j(_1_aX zuDmq3*VH_)+}9P(3^K^>y{)g3=i-T$2}#bK@?iTif?l6W&_dtNn!3Y)?&j0TdrhwgwkoZK(!<_C*U&NSAU^CV$C$I~a%F3_mi1}v@l!0-Cso3PFc8!f8`soIs; zW3$dXTg?G6AfqXb{m-rK`mx}(VC=mr;^GH@Q^9^Kn*W00P)r*iU|v)1Ix}krO_py= zmSdf%*1TAjiE$Hlt897$^5R*iP%CI7fA{Vko^NafK<%iqUjuMRfuy*u8ft0- z8DONqWet8VEd}7+W5G|btTBJ;m(-M-&JJRn#Fp)9sXas?Hz!>M2QbVPw6lk2!4x>Xw?EC6nJA4Jn(=&9q)R#FwmM5opUPAw9y=SnDdJAZI?>&%H|TJ zTYC;xdl6aWzShr4=ETV||M%Veg{du```&oD{grseq6z(P>^qzb^`;M&TNX?nZDXw_ zpVLUcbeN$K5+JH8ZE7FCD_VvgH(=cCQW}_3ZYd*phu0w69Ofdj`;MH7HZsG@;+g!n z`V;jOcoGU|5di5D2Uxcsc;@Hw=>4@)hnijEi6g2VHnv4VXo@(O&)l;cx*H^N-I}+i zW>>;%8XGTy5uTqueY&_F#%w5MK}dzMIj6Sb2pv$=H{VDZ!ibDQ|EQ<;pHJ%w@_2ey zJiGeJxy<)JuZ|!gQ^|WR)AISVA98`hX_ULl^VXX$EXN?LPj#8FmjQDLd|HYpM?7l3 z`RHK!Qx1G=do_^3yg-DhCTBQwfM+}T^{{}P;9nYNF988Lm6Vo~;PqpvxJMYooz|iv zP}hSD!7n&CCAzmU&#=khP2;b@-CU)^=%^ggVV{Ty;J-m74UU$T)r+a{k@zWBWyshI z1vuE0K-bv6>ZZwiGeRBUIpE#Ddw1T_Dw$s;(X?YHFY*zzQ>jDQTRE56)s>Obv;A@* z=i!{-6X`JZpG}8hR{Nia?^Wu}lX8EXrWvIrL5!Nv_;=kchVCFlv!5R0tOi;ZRyvV! zqp@vW4k&bWo!YhVA-RFl96U0=g?%%jKl~OG%e?Nx*@!%m{Q}co9dX^P z&xv<9r$aK*uP-j0(s~^`wz#w|1;|kVk$t%RN$!QPead%WbhRAbAQzgh1j0A8eKCIV zF>`D^(OJB(-}5iZpP$Qv)qH8t4hNS2W)+>+4#c7JuUq^hx2m7iCH8M0Sqv+6yywG= z%4fr-uVvy2sUsDDNBzHb04(Yalz1IHR-c(NT`ZVvJ{^s^+g)$7t8+S|PBibZbLBy)$$zo|~pO zJq?~RumBJM0MkF{QVub`S+)&5Yh%y*q6V1vf|GR-fSMht>S%-I`T0LU9*dw4|M&r@ zVHY5%DpCPX%lOT1e)(o;0cEaz)1|RBDIODB2ZnaCCZcml$MJcm4?(tMWyOr9-a80;Tt83t6YKi(3!cAHB&$TK*3J zaz+9Uca%1=Rz;bHDpZY=%PYMaN_Apa;8Mgz#el{n_u9 zxV*B70=gLMKBfP)^exJ4ILr|E_QX0#XRboO1(WB)FN-W)Stqh@=g`x}6O4-uSyey& zs0wXZwmbDF3@Y&;Y{Bqy1}bY&;${TrrCPM_e}k_0`f!(cpQCkFM9l0dm7MBBPj#@Xml>n(4Fm+_;oj!dYREjhf z)NN8@s_I7>>Ti@w(HXb5K~;9wAcVZqDSVt-oXauj;d_Pc@1<1CxZDe6aX>S@W9qf_ zE~&KrWa40=;r+A&;}TTgL1*!2^#pKa4T86Jo!NA~HG5~O+tkr!Hc|RN`xWpd$?PtA zAR%du^C4O1TCF-Kf4Dy%W3E(%RZLxFR*`EyU2!23=}7wzHe0V*T3NDh@;SGa-R0cT~+*M}0 z4yq!$uGE*CDiTjs(+=>fzH>g2I#Jcvs+C&QO$bt3XpCiC>=>|0S=5#vjF3~buKLC+ zR);6z3sk;WA2DNw2PGg=TB`nMvzZJ=bS*>tPr=Ao`PKy^?71MDuhI6XDr_H$nW3x{ zbXwynY$9JX;Z6eRk>#e{)4_G%k~UAA4ueuJJ(5i}5>UAE#}k(uFWx?A z_Qka@7{1y3{u%6CoTj6qz+n@oOf7dzn0>ny?O5{=SRwcT+6N3MN{Yn40{4jtGC${q zY6rP!vU6D8NRXPcS4s=K@2+|IMp7%WTuav-5)u{Qf07+wC^JB6_cVGy#g{1BJ4Axo0R$>R+ELZfu8Oxpg3D@Lr)mSs<_^k`dzAk*`W}mB} zT>~c-ql|>ZgGM?myx*__z^JTrzOs9da`IhLxK!1NX?sEt-L9s-^`QMG%c zozU6%>u{OHr+lKXFH#}ZC728QTUFjF_2~&XJy1fvM#6i8vh$TqGD(8eeQHD2g`}z6 zdbf6*5PG$HR0HYch`7E9{#h?8}$_WRLuBb1bRG)q|%-%hsEV#FNZEfY`qjN0f|I+Q1%SA z7DWEFcq6ECxh0_O0V|HP88$;gv{SGV-%(@b6K zX1B8Py5kBP2WVI?%+$mS@|>9}D>3Tm$dtx42{VHBwf33IH~l<~?j5G*fxr#mf1OO? zoNFS2bdc8@Kjby{N$L4|1IZwL*)9II6FGJCXvasOTLf~&B&~$Eh(zSQ9EHC|`UUTt zRcQvzVUjMmJ1Onu14`?OU3y)?17&VaYE_5laA^;%*WqtIMVDDw$zOxMX?G$5KkmJu z0M`$h6^JIk%j(~L_KbDK{YBjJKvO}K=-|K0(XdGORmEiB2+TprduaG$loo2c@KD^? zDpC&1OclN7g?HCS9-x;xhz(hsE&MS#Jp32541jF_JLEnwUYLrWRZ96lgKCFX?Dq8Z z9uws7r%c@tQpc3R`Ue11hebwaZCo#ZpEF^$Kcn_>Z7J@RyK&Di=~O!D{gR$Gv|Sxx z4yNvQ!_Lr4KnpDpy?`;E=1_Fppx)&;;+jTbrev+Sp!bA*ST#;diwfjL28qP*9?FVd_N%f534Y!iEpkx>C|=CVZ5K2?|;ddI?XcK zdH7lD)5VO8xp*P_|L*L94-q&L2R}G>-d@z|UUK`%WXnij@$AR}-J>=PS8Qa2cvr=fFJ0h`d_8l+Q;S4awxULD zvH!%qpxzB&%KYv!**)>U;A>=_5hCPI6SqjU6cO~E!tS^zeWn|R8Er*r9(D3Lt&$#C zgC2m44S}jdV))(rQILFcMQJ~pe}^mJx=-Pm1&4Cb>1ni$v2 z@n5D}Vak#I{^d`@-P@CypwZIydoc@%E(>?e8}6<0wC6{p6-ACUj(|ppe_>D898I8V zqR3wepnWqfA05T`*fW!S_aT~RIP0O_8hbl5F{De0j~^$go(5Fd!h&B?w$vZZ{%nB2 zUQq>A)=2`*FFHC$T3MTFv3h8%ajkDA7-`>B96}1X#TK7Tr34zxQThGyYCMOs9*qp064WcSt6WDQ36$)_4+rR;n>Q(3LUWv zX)XDEZf}!gQ6%@o#6;bVH^6AQaz<}O`iucVDvPKlZRxg1bto2Y2-a9=$9g(D8zmY_ z8<}bpa@CRlTvAKoVU~cCQYkN~k0PM9DC|+W&vo9$3Ky+TjzMI^VmIn%ZHNbOMEGR@ zfC8m=R!$BWn)(9>)>?r!33!4u4Owid+YWZN0&%0lTiW%C?o-RaS{+gB5pE?DA#4*-?P+U(14cdv0cKUG>mi<`BC)dGN4FHb&g&b&U30>yB0V3NJjPC> zh4*M_xD(^x`|CH;*|;2L&BdJ4ahIc<66+9Got>QvmY%&MR#s!C{r=|>;KQ^q63yRB zFWk6*i(n_eC=1D(^>zMQd;G8@`%mMFnI&;+ygS|ve!1NFCt%QE$Y6tPIn{&l0zk(j z;azz}Rpvh>k0(a90NVC8JvKxtnnEs-!+ZCL&uN4w^?EKA_PdPZ3y7S2Awxg0C`pFsr50D%T zN~A2V!C_^f@NSRx&)W0>D@;*g|G-u&VA8Zm=d_O;5qnX;ogrt9sVy11$9=~ih0jFM zXpe?k&v9S*(kPWSw|{Pf^F9ws=itAx?p_!7pDTAnXj77Zt8POiyXqrbXf2B)1L4YV zT!uaan!4KM6KZ z(J%zODAaWyYX4K@$Fh%Es1tFPIbz=~Ix;YX@EoPXT!>ag1e_3ERDyVNkfS29bun^( z0{)@j#%Ww#xcYm}b3`pbEkN*yb)e`EpDg-*Gwr>$ySw;1YEp2+j+OLO)Qenefs=D# zjft%?ieJ$NOZ5|fDIP+jo|8dVeW83qCpT znm2t#(2HUK(VHB?Rb?6S_bK-JC44HC!4!R2_A-ORq|EiX;^xq{Ma)r1?v*^%kyo-X zv`Dy%Zzr8jPk`iRs5+`1D72XH)-l^M=qRtp<#!iOIGk!u6CSF$IE5RTM_H3XCk)9j2@LQ?kZ_D)Hd`PDn_5+@j%?j9Ghgf-8eX zNv=07Yiqso_9fZZ>-T4K32j|{Q%Q;9)){*&q3xJC5IZE30u7~oA6D9soj_t$AGWl+ zV@#Ajp|x_dWJ&`3tCbb@Vf8?`)iVwE7v%_f$)ST0p{T#LKQWy>M%H^!b7?N%?*VFX z<YDf1jYh1hd^UZWw?Lqd!zTH&gzx3RH>Ag?i;MvsW ziQYH@;e_1e$Xw#yaqGcLPlgmf_zrLF99>1WFNLfe|MV0`;P`|vJSwLn3EEZiW&uzu z#I8xXU=jOVZYzH1!Vdv(Q6~{Wq6lKGa)W;6CzSp+sAW@~qtjsvRTheZN2-XwTjjTi zzl<~Gk(_8=JKRXdo=j4(SKi1yV_#yeTvl^MwQH*X9ga!=e$H-VNa1|mvmP(ep$5;zE7!^I3f4jc11lFQC?_s|eaRvee!X(vV*TS5`n7*%y}}0ZTnal8hTN{V zD?!;+7O8-&B+%H=$%$lH2tx~_Q~Q3s_T9`5)^Q$Vq0~>@Ka#R7#@MlfP_)QF*)s9X zve>uY2Q!w@xxalP9&!~uB`hyo2?}&B{|1UD(HT&wTb7rcPfO{L2gDSKj)A45xTm}I z0uCPfNe@iwl4-IW^wc-t+%Nj*O0)DaON_{r>yeXh${>CHqpn{U&&eGaSxtNLD7INi zD(|u{E_ZsD*+QWjU*L=evfZm|CKzpjQh-@q)ijY}i2Rl9+#r*CX!l^s_liV}_xER< z&TJXAV%9PD(+>iH?BY2_LfqtOeiaNoXyJD?#p#aDwG7UkJI&leacRO|WH^y;txkQkNu=qeOaAg7m>XH+uqU@eQZ=bso~5Rk%|=9D;T6kkX6c|C zj|)!FAe=oQE20sMhYn3^Nhj*Ux_~SbtiEw)YYrf6!#%||AlkN(_1u(6%B}=+n1R~N zIA`RlqECERCE|&Rt%UotIKv}S`2^x-o@%H3nJR%ZK7Vs4UTx~_s3VQAmEB64ippyhB_B2x!&MKcv)=@K%Bcp|>E@3c}Dc}GQTDN;uHppg6oP<^zu37MOl&o>`*2Au22SVyX)Jo7bH^l9vC zV6qS75Pp77kJcYbEC8Sh6zkWz9=H#!vH=gT=t8tcv4Ev7~U!&JEYOIj9ky%{1lfpM=6QtXNQ$TK4DaBnP1Q9Lvn!s~&KbXk8 zw*A2QpBMc{lkl(w-<8Vx?ZQpS!e5x8wzo>lw?4&AopHKOiKStqE>$-is6N~VJx5xv zfxs@Q6clX9fMa4T=*Ixpj&aAm@r`*Y~s%wGk%GB?$R_`yC` zC3mho;nzVwwkwxHKe^B`+*V4Mqd!36{-(A~t26`JNTrI!000%xq5x?FC|UvC`^t&T zO-RFGfYSi%&A+@&v&+-nvp3oz@z1Eiyk!@RrD-QHB>5lIa!;psN(d%wJm?_`o=S=R zx+aBA#U=#;_38Zl$%al-wT48tz4-}NQjH4CmGgJnEdd`fqMu9#NE(&wZCl6_s6jN3 zj+@q;(2=a>LCSPc2j@Wpj7%oe^ZpTd1uy*0v#mO7p1Q^BgZ_)V*EO)4sy-dlBbN(? z_+M=f7q8D7#%T!*DhRG1o#QKoWRmZ2`QG)YF{Emf$K0iRxn4jzG&;)9#d4y5K8XGe z+}5G%i}FC*1s=lW;lkM09UW%kCbt1H2NoP3AD;jrmI-=iYW29b3pHdpBt)Gb(eXDj z31F$U>mgt$g~`uEhaIF^9c@Jnz_W#{<6>zlvdU0bA>hK@ZONi=paS~MB;jeLt1HDr za|OM7G@yIy)!zALC}5Yy$H&dRc${=gZ{Ml>SL9tAqx6kjTG~bVRapc-R57qIqA(2tV6??X`X-^odr&!O@5(v$)5P=9pGVLzHaFXuimA zU2YR@noxN*C;5+Ld%gaX0Cqig*IwyjTrK z#xO=K1Wo$&F55xs72}?>qd$O1kIoF$0xhfREt=Ry-ytm4HIs+`)l((nGycK$Gr|pd zdB^tb-UVdxd|+unkP{|K0`uOnWYrG2+BE(w8VeI@G5r*ZDZ=$p52V;s@^e9&%P;J@_cM&(nNF-YDs;srW%TJ?)H@`LvHMq<&P z9(J?;V%oSjj)aZvrm&wXS>zqEdD<~TvV6Sd=9+tjcr6mkgshwRN!kknU2N3*2sHW6 zY9ixN7k-W&ETB>w|Nol1@_(rI|36Z>bfZEG;#T&k)DU9aLS-46VJcF>O?QZd$~vfS zqNL2&m$8jy+)T>Sl#EIyTT_-s#zof4BwHB!_jRWGxcBoXeErZv^LWg0-sio%mgjP^ zkI&k+p!H2m*x>c@_ANqikIw!TbQjLwY>`YUDfF4hcvx>a>vaFh?SD2Tc_FlyK{{YH z_cu}w4WwXJ+DmD&e*COo<$>!p9R#dTc)Kzif(gh`Al{y}u#jsg)EI_LDWwBi-Fmsd z^8)YiTe?ylvz5fQn@`B+zw!%9S!~U+WKPaIIop6@x>>iPY{Tz|s*;`|axl}lj^a~1 z-PSP&Lr#K(b>JZWafz76R~I?j2vYwQQQJy)$Fe{krmv94_W_7|^`Q$3d@cjP^NE2( z=ibRlglS3~c^OPW&dt z4&|znWwUt+XJdiPgAminF)n7nMVB}I zwxaMsW}aY4?Bq`w5SQIS&x07_})f1-{}eLfqj%)M!+Qi$=z2V4KN>Nsr{g-`JV zSamNcVHg{IQu|PBwy!)h>N}G&*{<$0XCQkg1wCL;{|L*ua%p|0$DmQThCsUOaa*ce`{vGj7g_iXAQ67925h z&0!VC{{rt;An7gFZ4zB<{LR*`IOuF?S@<_A8nM!yi4WY4dJ8+KY$R~V0BBfIJ}=#a z(x>IEq5-ld5GV{CVPxgt&T?@}WG&~qbfzyknmu?1YN_?qn;bD0`SgyYEjsW)YKnZf=- z)#GJGA*uJ=HyxPqjCp-3)`AuLCedE22t9C(Z~}rh@J3*fU>c^1xceksdP`0rP!s+J zSU7oqC6DDlXq#fZDMB>Gl#KNBEEpVV2}aw?XRwYsBtZM^2&mI$C)xMw$DM-Y1LTAZ zBcrSDMHY{tmV*Y%Vi!0JWbw_N9v_n)ixpFY*gsTPoRK^4RBS>_yQ4@WYE6SsSAG(W z8Oc=kj^(-6Kg`}QVPc8t@sdCv%)%smo)Un+#HJa2>%vi|!78+aoY=v)zJ98vWwV|( zH$22c_Nb&fo@6sEVZAbtJ+n!_RM-Mbw09u@w&{Fi(-hv*gQ>Ne?oK(y4jCz*fVwZ%QDg5~! znV+M4j~&n7Mc=6>sgExyT+%0;Cr(m^@p%dw`pK2F)q|c)Wev`$Jr4DKLvt~YR`+IV zD5`;~ZBL+AzhkKq?K1w+eaN{=K%dL2vev4|;XX2yaN=$nQ1x)8JF;|S7B0H+jl zg*?+9m>*;VNs-1yf21hNuGg2cdfZgF?jixZ`=&EKg^BhTZf784EE(scma(XADNc7! zx&M14V{+fZl3c+|WC2I)uj}WfKjM8bM;+?-N}5EAeVO+{5E&)8=3n+WxC@j`ry|nwzUCoY?d4{6xjE?{vWn8vEI00 z^fR)}8i%HoT`JbIgFOD8Zeh2}nO;${M{eEZoTy-1B{pPnfB3pi>}_N?wPsbT#t-^b zY$*(*3dW&LLGSS-=au9hO6aijF1h!d%U2=Nmv)!Ms(|lV9R0kVcmaQP*9`rhhV3Z3 z?kaI4F7AG|ZAJ2-!8FuBxnOHBb!4dYUV2;!ovyq96me*_LC^C1zUsQVy7c`)@obP$ zz2LMv6T}V=m-Wp>-^>=g?fa82XO7D(1}r1_6Ucm8CME)sv@R4HF?8)-%RHCKo0>CP ze+EvMN9o+Vb@nrb104`qaWcT^hHYjU=Z~TG0g4DPe!%pIEL0Z*0~a(o+;Va14Xsx6 zfw23GW6AXX=0aq*F&j9df>R<+%P*;nFDuo^xzk8mWTBRIJ0%0~iwiZ8L(s5rbHq|P z>({xaP^3q4&}~mbBy`e~6vYe&^0GaLoSVT}XlJfo@U@q%DkX~U1KV-0jd5DQe zW5vVn8n2F=(UmoChsLi!U51yC@E@PcxkGMe0BB9WOp$0EfrSj%$Gq0@+I18`(<2_O|T z-&Dji6XaW`D#vhls~z>@{)sI|au2Fpn0WQru@`7BpM%?lS#eJ35(f9?^>?=~hnvx= zYB^tXdRkqqfj)kGjwYJ=EJnZ0xL$5lC&fx-B$(+Qib+gp5dWa=<2STZ%_1lBUR*iW zklnZDL0lQ7LCbW=5oX@2zv_GEcv{I4ie-PYcDXnR(>K?l7Ev%NC1V_0eTGQ)LOlbX zHIVVdQN#_c0Bb|qhl~RXASBpbym%3?n8F(Bz-)Jd*|47L4GL%2?b}PRVeOnpV|VIoPd+Awj>?frR~7mk~$F&H4EE`_;kQCv)-W z`qz3NkJrgc-*{np*RReJrD48J%!C*x`>TiSuRFG_@uJkuf7X9|hrNNfr3S67_VH%9r@_^!)oBRz?`}$lbVK_eTVVhNgcykZc`S0RAf1n=6erV+Vb;BO@c_ zm(KI%b0!5~%y87%vC7%58sfQ---Uqo5E=xN4SQixMnI$TOK`tQdv~eM>gN*ruE?_B0cN_jJesUSSkoZKbUe>!e!kwR0t^I7=|*_P(TI_0K!_;>q*&ei4?pEEgIQT3khOpx{V_Qq3jp-zuZ z5(`?2PBHLLfFR!sfGB806#oA1<$7kPf1(W152@1r^GYg;**TfvEHXYFc^W1L8ehs@ zEZa_$fFPK?lV1zgQ= z{r0zO51W>#<xZ)|iN}$9Lu``4H3+NKLhWX@uGzI(NgFq7xtdgkhWa3}R ze@Owt3l2!Oc?bxjdqkmz=C$EuQQP(_MK?f##(zJd7>B)AIV`Usp$fSyE# zAv%%TX-UWW4>waxZ zDBvV@`Z}1IqXeQHH`Br%RXAG|-K}4DE>@>lxA?C3r)PU5Y+l~x-8x+<$>eu@x|~3D zds0f2L&yVKR%wtxsY`?`O>==I4fO?(J|I{F?_(DCBxUJiSR`^x=Ud0{GIG5{Wi3%* zV%4*l_Gn~MrtAxR7J|*n`a&U5Z0U!?+u+_$)knwPC)M2ZwHwfU`&;p>d)j#=XD)}B zjaECEqu!jGD@ktNLC`7NW;ILDEarMb9@?B5lxAe>v@0ynh){^|$p8U~qjjuHVAtsS z@vN`zA1%~44KL4)#@r0rvU&46&t(XY21Guy6NTh`qt6Mb`#C*QYKGSz(hQQq^O% zUc*az5Q_5aV2PFA8Y-W)s~)~J>t$@?=6c}U-aP$^I^%e=D<+hD=HwEn>mu_E+=9rP zbjn5Em1%!)6M6hm`lPus2Me|^W^S-qqf?m;F4;e zgs7?+R3Eo1)>L-eshg-zxKb2#Xy$Ee#Btoakrdt0cgo5p?5fPZ3Bmmb{f^-k(u0AL zQ2QG0(M}#(*4V}6UmXd9HV9sV@P`M$Tj{`3pQZwSAU~vof^=#2iInfMRW_ zE*-dv3tKzj|Wf$ z(p02vCT#KuYfSs4Y5k7o{nL6I-=QxkV~OqWlqVa#cSSp5Cr6lTy<2Wmayr*C#KS2PZC&}oT3d^DI5p3rxm2qm zhExDK0roLf$V-4m|D%Tkvsw%;c%sIR7>}1s$@%3UDH#CgTphpl}~Nb$BR)l4yJ z8y!+EOjzcZuqhswey~v!MIcr6>0f}mP}w(p|O4!pPkTZ;ly)AuQ&7&PI!dbtE%(*b7rph>-Ay!s@1&5 zzzt}L#Jc*sy+UiQC^;$fo;ZFqkSfG7RS}4(>u0y_(Kd9@*wc96E4inW6tfew8tFlaNL@dZ@MUo6xUDp zZb6Yu!kq&mInP%Lkdp?5+;t#4P+fz1v} zhGlCMs@W-N7QkJ(5EjGpXJ1$HG8Zlf55cUsP$73gsR_tKd2c=A>|1Wj_-Hzm8aXw* z)5XzEY4!=LE(fPg2FGWYa0`p07V;>Kw4J=$`*5zl)DAwyv#xB%38MAsZ||$J;EbS| zlvQS!CZ3kyvW_GRT8xbrJ`oSb<*T;sd?7C^MH;=QEuF<~_ zORoe}4|RM9PMLk)0_DXNah!}=-WT3>hy*9QRcyr%=a<7^7#BDK%1XSM$F?d7tNIU} znY+NxWyNarFr79+$(uKI(oGpy1(<9O?TH2*_6S6#g?VT?^q0}gAvM#bd z{AjI%at~Nq)mjbvv2@r{g-$G?VgxdCU~R{UPs44R27yDudW*`-j{b>1Uu_<5>BVsO zsnVvq;lUTa;8uhFzaQ z^_?TOYOjjIRhSXBC9Ub*(s@T3o>*I0X}u~&Z?C4Job|mW!cy}uC?V#v(QPDFsZy5!)y%=mT|mQxR!xxGyEs(~xHnk4 zns2$E)=adIosn3<{E>HIxFWH9;lu1LScQ_FDBW+}VwXgE@==SIW2=6E`-I{vXTDX9 zjmd%&a*~)Oym#;M4(wb(OE*CuD3Pf44Ta3OfIPIufvab7!9AlC;6km3v17^Bs$i&6 zNxt9qUCPN%#VcZRPhRDaE&dZHG;<_P;pz!U_YMWoN6ha@G$p)j_!#lB(EEfDiK zSu$oAzx|h-CntilR<&>4Nuy2hrwwU)LFO3oj;sDd{B$lT;|3XT$5OXy5IR}?aA^Vi z&Jrj*g-&=UAQR1S%wR~5jhWhDhObPf4Nq;(A2jXF1&LoLRd1VkX&5T&ryik< zU92a!49#IwEfE-JAMJ^jU2w?a0;SKDw(K=KkXpG8`trJ$YACICdd<9j6 z-2lPY!(wmPecICVCVh%{z?ovH^ShSlHOvgV=-{(a@tFrJTb9?LR{j#LKy-ykFZ@vo-$JRY{dkAD%4UebHq zyVqB|XD><+rg#hqh)}y-;oSv_gTu+|x&_-)+(y9|)giq}0U9V^%b8 zQ`MYUdm<7=F+VHKvznJ+yHWLES+N9nSwHnWGV2dlfe7qdZ)Ei)+0ZM+-87qyrlH!< zbk*Z-ES&aeY>i^J7nF*};}`x!F4JXl02Q{jdbX<%L)uuOaz!|q{sK{@fH35Uu}y_i z*?D=uxl28Q${EraE?h;yQ(`r3+yW~lZ*@c_*|bfPz-NU-9d(RD?zCGAuD7Y$HmqeG za`{GbugPNGmh<=Kav^s$K6Hq8JopJiJ^Ye*rA=1YpPOc#JSYpFURm!cM66jb-g`tA zub`w+CIa_FVP6GSR)U|;6pGybN%Z>;-e<_&?nja;aDUqsM>?ueSP+N(+B$^hx-O!L1NIRF3k%PS@=?PtYaXC<6O!H2>|_p8G)>K*Wpc;O+{xL>!Tu2s-#2CHC%V66Z311x_@ow`acp(^C1aVqtBe(5xT<>LJ`r*7ZMU2-%Lb#?MA?JdWyF8 zocl@-(kNuV`?aTCrA;vV*i}Dipn+8%+>OEKWbNZM4u1k?H2ma3=usagVu>bRKW-}ZA4EF#1oH_8pgTx#E=Z@h2|9u=) z_<6W)@k#rFQwP5NZe+5{b3Il$M!1=Evf*~(@Jr!)V0&g)g^>Y4p88&e|%7f z5kCsw@$>$9P2lyk_nsny$nJ=#=c(jfU~Nrdfk_w2Zt)}A;}uJZpANo9dK1nVv5`9X zBWpC>P_a?u$=)`TgrG1NlYTGiaQy(v##(?HIoZHxpH_!gfn z`05zi9j`YnT;kroRca8HJ^l!M51II0HHH-#DL6|~a|47z)YY|WEMpy^(4l425*ZEN@S#KtfdI&-{@Q9e+yooDJ#G2h~L?f@7em- zpSKcB5keOE^3&TAXWJ4e-r?aQ1Ci?2?d|{h%8r@EBnP*P{jT_-Kl^i$ZEDCv^_7OB zH4qV1_@dgk(8}c`4k;SWPS!IGi>V&jUH)`g8xNToW#B|Uuw{f!WE1|I{whqVeGbeWc`t{nv!lKXk-bzUu;}^2` z;S}~427`JoU645bL%unI6{i(htGde(L%KWd>sxoS>d@xBH;Emhl<)D~9krYTQQCY+ z!1IZTMaYTaUhOZ*Nzl1u?I`#sQ5a8_jkg7+y|#PiUVt!JhGRvhNAJcnx{VlD9pdsg)5*O_ls(7#-)?*-o=XcL z`|&4;2_evU@LLeX>RWtajAES_D; zjBEuqe+4WAJ$e3%ayJ!1uaHJbjG#{Mv6LR4n%Y|9ihn!sO70Kd=*(jyQSy@|>Cu>Z zoPkGYkwNVccdh+oO)56_XuXjMgn=it0aI&hj)ca7l3ufj5>YMscN30c!=pBrbc)V^ zS8ik6TOWNh{`v7e7K-dnxl_by^~R4Yo0h)2mhMZ^OrcL~hSGq2hYjAfAdfqcGrt~TR%&M#LCm+_p4zyyf*v-^ zRp%HnjTGA$8*ZQh*G)e4X0W)MdvE~vI_yWbUNPJ_w^F}16`znGS*ZC_{AeX0M{Lz< zzb8mMaNMC$?8$w8gKnnNji8qX7V!~jJXJI2>egI~e@YTFM2Al*iL3_RMF^f_+HWF$ z+s5$jLNUQ4cNo9F5hM`~vZ@z+>-Rj3{EcQdaSF>6*P*ATFX)BG`Q+#wWr&~R%!L3* zs$t0`jyJlKrjHj>@$&@m-10K`_F{uw{Va9yQr%7#@3o=ruWVu{=d+W&y#doM@5M*R z<=fj7a`c}@u|4>@?e5#|TmtqJBhDuv;l>3{_v)}>DUK*$?=tp|mYORli#Wi$^e*8{OSD&x0eF;+=LjN1iaiGN{f8Mrn5Vp}n`1zk0)VR2 z8&0rH9Zg6~>(G=V zPCzLYYIYqbIgMH6xN^kEPdD1}`W|!LdHsUOVEp;gty`Ut1Fy9S;Y~0xkfYsW_ zRgqSy-5|4n*##lA7@z7yYv^vA)4%y7a4u3p zeA@w&t(YXt>$4elbXqUGKNBF*cr>{_5zkY%@uNHOiOmE)J10kE`eJii=a|mog?+Fo z?`97$zCLdWODii}hWkHgcME;5cZ==m0{}Sg=&4?g^M9849t-TgKUCQ;Sh)f&Lx}B; zyid+p_nba@sMVM1wbii?RW0>`z^?6}?EdA~9v*Z#DQBJ_V*= zye(k=vYt$2;vIZj{r1*EY8q_9ohs0 zS*V9o5_i*&MtJrn|rukjtk%7K9VNmewczZL) z_b>;w4Y3l(_4+-FAq7yD;8i<)3Z4it0!n#R$PGZ|pO3fg-x^g;y6H{3%?h@fG977q zftuU8?z1PN|MvUEj-ran38yPit^C?qY*0&+gY*&Rsa<(^JnVZyOD49{GjIUvk!RN~ zD`4T@A<%@R+{bVF>~ybce>Th!B>L>9NG~&|Q;2hbB;JgztYdYZT&rE5+7>v7 zH$~hMOjT1BqlOr`Y8#ov@mnttuRlSN{Rq9?-`@{B<m|0Rc1=D84%kZ~2MCfj zvsNXK^nRD;fHZr2K9rbeCSPVB#<1__%88MJrsz3tggJ=bAL7C&)5iT4UK(nw{2x|c z_+?N~x8P8PXW!1#s^^ILHG0JV>-IX-A~|@DkH3X@Jis(5w65akd*crN7M7N3uKF&$ zvZ!sqlp*X=YXby?TojCX`FmSggE!Hs~eVaTdzjl4EX1)q?MZafv8yM=kqP=2Q2;qqyq|=*I9m*S0>#)qQ1im6C{n;nv2J zOzB>i=fGFU=yqZlTDLGKd1O@DeKzf#R}`x^=dIcRCGIJF4*0k z!cw)spq8H?gj}y@wM*~;XeZG`EWSZB%n<#7M`A@ZJjrq19(1G+g;SsJg342c9kG-+ z(s2=H055vSW(w)bvT^%bZjOdmH-{fJo1{iuIuQ|Bncm8>7=b4aIFD7OYF%ayEO_bC z@LSKm`fq!!C@>iaq5k<*gHm-2>(<%Cf^G+;wT)h&?@`>x*{|nE3`=5dp-S}JdkT(C zQA1w&AcZ5E&~vM-Uk`Qzp34!}%GXGC>3ab+5hXq+9`jB@P<0ZsqIvA5R+Qw>aLbWC zQ~Tvv=ZN{`*h#l>Zgjw8f9mdIFPs_@H%^SVxDU2;D;209bH%5)VpZ}9%Vft(Q>VL? zrYDC4QyVsX`p_x&<&)JC49$U;IDy{y?4#n=EfYXUpi)>nznzAW{gOTHD_)V!2fnNH zq!dy`T)Z2xH@cQ{kcb?KlVxu_wJ`=q?{~)a&2g@^!FAUZRBvVPhTSn6M+kEenB z8&=1&7RNuA_43fVgXRVS0i)nfk95g;!;uMSPrpOt@|W;R73TNvzl|Jj1WFI6HYX71 z;q#wR7{HC00sR7f&|JgrgtIbKDyS4MGn;Y#@jFkp)Dhqf@h?!Uz5~`A%X$f~Uw?Xt zcLba_8({~e62Ou)aU)I{!kIJYoa}6f_Pid<(}2}2m>ekt4QruHnxEEnTukDFw6e}DPh!Jd}CSJ_g_L-gX2gBjlI}{Gz1_h z48+qQzB>bL1!_=1V8Pp`Y{fCqQ%`h1tC|3*-(!_LKd(cxtaooNh*L{<0LO zOcHQlv{_+ZSqz13WYE@=7#+{jIvy;<5hKGY+*+Ts?&@5Ei35@04=%sB6*3D@hu*_G zfL~vRQz{8E6Al1(;z`{t&-nxGWE0d78i=KKOPqOm0e0F}mP+7S0njN(7*JCi2AWOr zbMI5Y(IWx0j6(gyU;gWGy6CVGqU>cduWhv9PrFm4s4TQVRkvc!`xD$72HH`YzeHMa z?yBgTV8t0C{TT zaJW%i!vazZ54w!R)kVx+x>T4VfS5z(H_+t-G_CAzCIE3_=71~JrF!t&PsEQ74GgGb zp6n8UpQ>^S0Rhikcdgbha`-h3z~d2q1W<_}x~_=Z0=ol_;2U$rn@K_%lFMKpO}& z1LEAZB}XY7jFFDO3aKI3pkUw9R9%*LRDLp4A(!i*AM}(_61JY<%F| z*|CbUj5fx`>`3J-2MR96o4!5XY$L`n0p&|@F8q-Pf(g=xcAft6g1UKD-sSPrN63Sh zkSrH)vG#}ipDRYearGv7pZuzOj=dQIEaN@1S!6Nj}N&#RQ;N zt&QJ@t$h1QCRRH^Aw`nF19Xu$-!CJ3IH!MJu zpaJs6{9VtD0H*N9quRzRhI?tmVk8hs${}1;#1A@@EqIVuFgHrziB)Ef5vs9^|HJ=liJ|J@& zHIGX#_8$4k_z??KRMU|2OV*dB54zuN0JXHzVHAa8_gZsCb`7w$_eu4-NP)rz)vO=G z4ZBYu)Yh(b;|5AP<7Tkj%w47f5=f*f&?(Et)<~uMK`lTl2z(!UmmWz#jUf3Fgfod3 z0HkK1-}jdVVnAH{6@j5zHwT)Q4gMJEM{!+$piUQvILd!YBE7k?v$OvJqHK`Zim~9q z{1=fYV9PmR3)qRTY-1{f09ekL)>)(f~LwTkNl*YNr3#Aje?2~FxTsE zV>`9iu=fX&EFm;pUbdnNlLdT*hTNkk;BSu&WFQtF(45S)-gamP!gXv(xi0{;nHqf2 zPtgAxLUGyr@!D+_E}9bSK@P|+?x3nhLh}znARzNSdNeoW*!P0%PeEDt56aYy3on(G zftpDg>E3*IgZylR9BPo|rUXrH0?xjX$#g=(bTrbo0V&mJ-D~+;#jVgyf8|9;;@Pz= zD8F%Y_~uzxFwt)m3_%d`bUu&+*==34fiq?TWHUkenhxYS9iU_oP zf-`>SH-Ml=4)wTi7h<$#AzeqALD{44%UgiIbC9SH4DspsY(I z{Ox`r+=K4-T&rdSL6SGf0ctC+DDY~F#7V!zpUcYbQW&(+2~O+pmcfw1odXmJol1L# z1~3Qt0}$#bz|SC1slIEYt*Jv>SU}PeLrS>&+0k?)K(*OHz$@BUKec?py9~H}GwTrC zYQO9F{UYr>WTe=xwii$_QuLpinSnZEPw%zy9U6;#HeCmr(o ze}k!%GiFmh%O7Y~mmyZicKz@0<=<;>2>>p1`5TBDh!gx(Pyo9i1=7gvwHiDR73swS zy-G52&yk;RK?#TK^27~vXfJ|*uJYe!T@dhR`JaD4Z(sa>{~N63e=jF_^`A-3|9rv4 z|4$#wI!1>%S5H*U-U+mob`ef_5%iQq$9N;b|N88AOH!%!e>ULYe@jNNmxTfA``=~C zNcKkm*VN!`Du@*RpO5)emHw_e%JCENw@Y*0f(gXm%)<$gXU*{DZRXZFWUn9jJ@gxd z9h$4!5smCLi7=Zj{L^=)(7Eu??}J&_s+$PZanR}L6>2(>X+LioTXu<`NQtr|xo^l8 z82+OhCJvkN;~P4-2Fp1&(|-v(ymWP&U~Y}ohcTVo(1!UEzs^%W(1X;{CA)`Ow~YwNMxrDBtlKK@14b%6>V|Bg zUVmtoZqrV4Y(dtM=3Df_k8(Xg}^#es?3A#gN17Y#o`EmA7!`fjUs+Y`!-iqbeKac)9X-zn{ zK?Wgjf-L@&s{GE9LB4E%)LY@)G#o(^ z7xVDIt09NGwm>5KNL@zF(=aTn$v-}Cy5&#a2Q@MN^k^a|DMrOnF!#=QJQvYER}I;x zg>12OHz?v(6YLh?{ul}~`tW;+o!x|?Tcf-|IoOIF8Ffx!>yn3ECn$W!4bA%G?4k5A z`^o@2-FpV_rwTYY8SCq&yWVrmqOf%Y{d$jNGkX`0^I~isWjtbJ=|Y?0lo=fhPCy6o z_EiQ3DxfF3xKRw7yb@_mp+0=|liin3DcQ^=>Q_830Kp-Tm)ku!fL7?}*p9X6b-Q1GyNwPDFc&-ctIV>CU6Q z5O;n&&p;Xeu%FD-6{NCV>*o5@-}Pcl`6h$e7dB5t&BjaIv>ugqp-26@idT}hcxLk> zbi&%53dI<4IW*NRR(Th7Qdpki9>mC_s>3tdU7IR&3kSMLmuk3^TK#NK0)3dSd^jhc zbz`VNC%_sV3h45!mRW5zRxoWCRT83WYU4Zh)wjR2!R{hZdIy-LeYXP%8!@IBw!855 zlHc#SYe5Antt^RS7|oUQKay^S%=PB?>-n!=&I}M7zvTGby0;AZNYm(1`<6GwJz_=L znFUn>0&a(|D`07szv{+V0J|;w3a4GDDP5xd5(lKz;JGR}!HA3p@Fz)%<>RZ26dF?< zov))Nnp#XKfC`5nE^Y%Q>f71rQKl-2ODzzJdvh}Q%oDD&D>JtLLVtyp6O8e!$wr&! z!UijN%b=AbQMV11mJ-eK`D1LBjTE-6{&={{PPqL^VpQ$pXwN}=e)BHN1%CpL;hxfD zb`??KlC`X&V`AroB9QG6e*_U~yvkfLrYyh4B8p{f(aVhSH(r;%A!^X(x-VswrTQH= znExt&@EcHrOaSizBaHL%S$$unAyI>&?6zOyrMJFFCs&s5;2L`CzCLHB}L}?7@;9z007!TPBX5J8ADU$5r!+@eS5?Q$Ck& zt7qNRjrw)tpH;NsnY6+&?OYy1^D+nOoaif!DOs+;b+>mectL7M#S5Ag3eqT|@*dsd z;a+R>4d`Rh7|{ZjicUwK10#AJG6!!X+Avwra>+dAj_V3pVw9y=#9|!*Ysmn_2DD?0 zwUmG5YSKKI;pLfcO$TIt>*uT9jIuz)pY^y2(BTs>a{D2%{v(ec7!VkurU6dL@kQlKA*B60nxhjSgY? zpb)h^1DQ3S61bGr^E#@Ma&->oxGvBKo_{*4fo0D3fruTyAOyp}XUq?@U=q)U#UM1je#0L_ z$(aNylw|CX<-%R+bk_1ZiFx+{teno21AeP$&!j`1dd2`B)1^yOSloY7&Vr^%E7Z0# zX!`tfphnpaX*d?1 zRZ3}61&AvjGa6919%*n^h{wu2US*3XO^vdUtts$Isfgfmbc<@xmTb?zdyoHv$>4%5 z@-U{-B>i}WFz&q9DMUdjTSxU?q0&LXqmS$rLt~Njm16!&DYbz2f5nm5O?>_Ea-4Ru zh@Mg_lb%v8k0ciu6r8(=Pf2N6{GG%nArUz`ssrY>&oWCUdB%t59t8TVuf);mj>KXT z1rhAfslL%g_(Q*+DRXD!P0COI<+dj!7)qmOdqVyh%R@h(XIN$SE(yi5I$6YQPDDG| zX^N$ucUF;FpuPLmyqc$MY-8fv&?~FrE_sSO*uvWbwfE=Ku7zM=`f(_1HZ@VdurAt^ zZ-AUrU(Zo<3T>lxrCv2BIIlDT9I}xHud>nR<72PVj_COpgDji!_gtm}C%SjbToZIx zXs@JCe_4GM456(zMdwUCxu4egD7N|W9@p@JIOh9M929V^Y&R3Z5VGrW#a^lL^Z*3P z%F0j}mWrjxUP7q>`(1@P!jlRzh1mQ-pEWjZix_g_4;fK{1zlviafp@%@*9n=DLB@h zbnSZKf{iyAqMPoSOx%gqd#H#)bBeLbtlN`~0)#0%O%;(}M+usB`fphsu zC(r$7tsWf$-|l=HnfRFM`FMWmN{Hx5vxf3Lx@T|D1b063L9yH`%0?35O*R+vRO&SY ze>o-MN>3&-E0A;!2@S#7hAEnUU37Xn_UkPSPAOwH3w44@3(hEYsdSa6RI(uVgXaVt z(?Yi&BPts%x}_fp%wOMK(^yZ9bw2Sqlj8Z~bB+tbtHLjGV^2ys{b*rTXYVmduw$yG zSaZ-g0Q>4m>E(m`~sa|zWKZN-Txi_-@(TwgV1hzZ<88tm= zRw;g&>rE`k@B^uGuPvkAlE%-%Pz`?D3_@FziiXsOk}P=ncYX!ePI_parw+nh_| zhXkyTkqNZK3+~tZy8Aha>TVt@lR+tWDF{RP1vCofhQ)W|x|k7j(XX>wIGT(e@&q>1 zR2$Y_Eu(*{`E(^NiSLSXGQ+)(1q}qs^h+VH9Hz`Z$bdNS^Uw~;)@r04lVT}|@Vv?V z+d0hI*d;2O*u$%IQ9=KkswF@ul=?Xs(01;GvH%eZBp7HEI=yk1zjJ;lI5G^w1XRgM z`$NS*il+U1ZXQMi=1%7)A-(};Y~t;84Tshp=)M6raheytdyhF8$aI>sf;8y6-vIHb zMd@L4-=!G1tyW(X14TognUfxw6v>xqmf_ZtvLE&XI9&>X5XUA%s)SMEqvqkb2#Td|22TwEaXjQ zQsm3jdw@6k5*@EMvy2@YH@HZ(tMvSmtT?|f$|oA;oqDsw%KCOCkId1OHQIy!0cptN zljcmW?~fF&l9t@e(U*AtSiJ#>caCy9WT<3^Nv-Rwni1|kJ~g!O^;y+^HL)m47%Np; zEO5D2VOLL)5KYajj^mDz2Q$(5#6&3&-1Ke186*c@jD?z43N<-(YM88TP#djoJzm-A z!Yd~k+rJl`gtQ)zU0wjzC)w;cAFqlOfVs2yF(_8wY+8V=>1S6#1*Fso#Pt^6=l;J9 zrPupT%33LwOt(v+w>28^r8)?882hGz5nGWKd>Ffe8Jf&Hx?}Fjv_jZT^f9k*dp&tz=nLj-om~LrK{lIqBv+dBJSi%#u zLGeSb+Bqm{%EFOER{kr(4ms4T^)(9(oHSv;3%Q#4pubvj5e}Za3D^=y*HK#@)X~6E zpK;V-S@VEoaix)p`#F9n_&>6dzm9RPJ2&%6dt@g4{ERNFl3Q6D@{5ini2h{|Dm5Mi zoQpY8dfxPwhxae%VI3@rrlx#OQAAC)>IR$fgUD=yqP4+EWwUFSlZFUOmuvbOxzaH; zlG1jgHli!4?#gej3Mmo}qQXWfrKRollmmBh!`1Sx47wu&LN6B#t}N=d5A1!4{_>E; zD|B0Zj51vv7m`7;>UJAcbPz#cob&8&2@=hCAVno>>WU=myz|3)NqoC#ujtd}#+nto zfP_S2J0oaEw3Z&Tn!P9UJ0g0_xKDrHoz}1HK27iZOk7!DRC*ea>n?~ZbNxe+gKDMx zAtm`?B1iKj)%#ZASLlE4Bhjv=;%@_S1=jfmTbF9~MG3Z6Va(xTo~Zs>AGr@S=o1V+du;9y`H?axr{L zG?I#AJ>I3WdB+7G^m&=`5yQePc8pq>$uSIdB4O>ax$f%lknuwTqVDX% zGtSQhz?72IpLVs&BxmcaJ;d-W$J{d0fyY+eZ<7h{LnzgLkEZz}%4VWjrwJR9N^F?w zYO}@O+v|CEQ?}NXkcX6}J6^rqeOQ(fq%tw|-nQjw z!fmlr9lpS^+w*bqoz_^?M3_^g)hAKJoXl&2es`CwW)gF6?Q}`O+}}VK6@uXz-K~US zWU!5ma2o-ls^#~k&?lolfMx}V%1s0n-FEf#MnK76Jt&o@!@YQoBN0CPD@`GE^-1b} zUP?}kJnO>Kmt|d8b=c`1spdb!aCM@4CGGX9 zphvUi2doCXK(lte&2g*905k5d@MV^r*-RS>eaDHgHQzT&~TUu1119%|)j+Dvhovw0ecUO;LD`Qm=_#&hB}_Y2Pu$Iu?^dg>T=AxI%Gi=1hwMxt zN}Olm3nRbu&k{`pg`Zx@H>;LtBxu{MckB*Z;@vs`=g&0rj zh|LiW{pU|LysY_!2${}^P`Rt__n}4e-%c50bF;eyr#kto>EdG^E)2Uqecfsz_xalj zQ?-P6%**t9D%OWqt;YxUA_U`;ep{5HqV3f>hAIve?Bf?$-^DlT$kfG`zZ-f$QD`PGxOv@K5XU6 zYqvmt0kMt0eSN3J@AJhir9_k1P|u*MMRAwLok_ZzVg2PuKP%aX%w5K~YDM%Fbt6vX z6GJgSWY|L_CR3k>O-LDFV(E4bwP)csd<$1s0Wf2y#8g&*Hc0_j=n*Tz zZu9Ls`9%5>zddyS@i$ilpO`&w?K@8Qk1~pSl`XA{gfisaL18~> zXVVXQ>tgr3Jo&n`!MQEPJ<01~qRydD^&x*JK$`rl zF3uTb^2ALR6b~(#h>&!j{eK`R-X~ibNgY*^ci`QTQnelM){XuRTrCnpN~Gd<+sN&?)?KA z_ox7J)gGFCe&(6Wb}m_`s$5Uf zOV?__figkF7lu&+dUlcWQx|E(P)we4HtyQT@&{SILno!CsJ0121S72&&D_&H#VaYy zl^H3NobfneyXh6oZbOGtsjevV7^R}Q5;}@~?`gWqbN=g;#5qOMdo7gdWsA>Avdnt; zx`ZYh1nk`y=TAQ`9BB#;qAtw}D)FQGX4g$xQ=u9^&Ljl$6y3nJoxt4AeS^Qa`>#00 zO#FJC*f5|p8bb-XVz9AyYwmkY)zvjJ;Uxing+ga5Cw1Y#)pel&d^P7 zTEy`U(X0dy=?4aeS1>0|r5?^Urg1ep``WYx&AhXyU-e!?s0%wzp4^EL-2Bd~)3)`U zXB<4)T>OP^l--*~WV$8jGEXnQ9XwY+oyDF8{oK&(IvLT15bS56CB!93bY8O~*;;`n zgA^k+&JAZP2)uyg(i*?xk9_y?iq;rH;jJ$?~GAa(ijF+N#sQ zxikaA)oSXa%YCUfz0SqDT1BqK77_IklQsVo2FIao4cjse(hli3Psix1b#n)o^wA!M z1TTfFnt?+lW1}W8yLJc)(`U0!2a}Sl z{utrF?+Czzk3h$GI{9`6t27F*jskn-D^y7iIp0{= z<=w+B7+~Sl!-e2jf|^uyM8B{C!ShYBl>MBFj)?fKmjrPo!eC8DkNp3Pe{HXXD?T3l zp)~Z+)8U092|jkaXgjuuT;YvXIn8AGhSgkIk#x1@mH~f~A{b4p=MSnIz8oiZqzet> z4b5nFq?3KM#n|S^l8rMzaeE;W)!mDVoAT_cMw75DlkD`li7~p>$$lFIj9@uttxUF6 z@$fb1ldN(ZqL#40mlKhi?gMLzuO;=VGakraUI3#{3MJPy6|ucBR6*NM%1!iB)VfG9 z)2?CJ+&sv{2GO8AfvME6SSUE4U|}}P;^Xh7TH+O6MiyR=`#`fTHCsS^a@ay?EsgCc z&xmo=!XXKK?D@`KovKdtUnfF!_?g}Sv`Efl$$eqV(g#OKV;t$|wk0pva|VA%u1W2G zCGxmzQ99C5qIZB&((Y<%)#`%Ypp-4`A^$d0`>?bgX^-d7Q68t!|o|^rMiU~s;D&Z=b$xfQNKl52+-5LDy+`i zHkP+9af7o|_>yh6*h)Jy?z_Y0VkK&=-?N1t(1dkhd+J|LB2#bok$ykN}Kw?M4J(#R;uHYS{=?ZzyyyS{gso5NfqAvlJOJX-@w4w1nnEP?wk`2S`7h1or#b?KlVSia6lQx@&vT9y(~Z z7ok;IvOEkyu6sI_slny%dvnVTld0%!hGR|?FR|Yjb&4}gDSSI&Uj6Z z7?~L^D$9;2lXKHDv09w08NZ95eXq1`&*Pug zJjWe2F6?j@nlpwJ94iV1EY{1YmJ;2R@BB8@k282C zSJnjIU4GKfQcN>^?^%6`T5wbkmoszQ`=XHoSyj$cIFA}W3O)O^?%r7ewNt&~*B$g$ z*<^S}jfnJ~-1B(C1>J;g@KZ2AS3p!)8_B3SuHc-V*3Uf!c%OBB!|A)cH(Hk)B^_Df zhJq^Zzp-Y^8NTxPVqcNeoqE$6HZp6u?4mAGU1m9>*nRUZ^On^=A!%FHllD3MR(fh1X-TnEt~WrbSg4Krozkt$p=7Z706mL};I=Vb6%vyhTeTL*`Mj<9lF)ZM zkUx8Cae8Vz^)-i(YkdhwsTW21)dKe{R#jugJL+c^3}Y%>8D_&%Q&KK|ds{4@5_aJK zUjze35`i$Rz9kl_jk_F}8ldDe6nNp0K^&Vn*(@D;)$FoJg*ZcPaF`o=jomb*0zn82 zR}d#U;%$!Mz;GnmU{(#1AH0A-0(x?4Eik~yACv+k?v}fbof93K;Huz)F>0&r5D)LG zmw$QuDu`dIFP~FgpW#^=IOle&fyS$zK2O*}q&R((_I-~qLM(l%#<6h5s>`ZZ?a=yz zLDH^d*v^flXS}t;&eqc?z`Ieb= zFZ;b4Wd3Y#JxnayBdoi$jSIl2bFPOsCBKgnU3%fG&uj@bbD;{`k2sRd&p~PvA448`jp;@@k;tp=V>z9YdUmA_c>We`jl(> z$cn!F5hx)PPYGL|$}5AL&kcss<%8J&2Xv(>sKHr?b5<06p~hnof_eDIF7`J?9s7r} zWXqyRxVoQvD>+n|wNy!(l3jMtM z+(U3-9#P5u8hNqzJv`Gx3#*^4s_zHd`NrF1c~elxzTu4PLLsxn>un{Xi3b)@RC~FI zVb5jO@u^a$TeO}LY^CGn_GiOYm;-HlH@i>Et>_>_LEv?&!Xph{GB#kz7lL{EJysq_9**bU~FMOOSt zsD|JG6-NI9}+zwur)fA<-8b9{8MvAiy9C{ zzt($N#(UmZC}1pS#MoWgsrf|oRmK{=$3IZII)3y!`_uJiv4ZU}`6Q2ndKz(X290F` zr`S-smD^eW?Ejpf-0WSxWf>wf@n9U&-_X9?xeX| zGByo=8a6`R#+Ufpg2nn{tcs1Knv8n=J$;cNSBB3&)vOon zYwj&5*^Wh93UMuHOHg189g1(69TRh7TTI7sw8{^BzAsV_8p*@1BzZ2whY(fvs{wJ5fVE7dHr`=uQo8jk`bGKw_3-H7!=j(j7 z*B!@5bw8h}`Otj20W!Ej|8BP$#gFEaJcE27p^s|k=@y=Q$`alE`?vAGhY0|IbmXN0 zXJ5J&qTM+V1J>xVM|*}6K|)x*;I}n5Y4md9gqymN^}|v|WZESY*|t4x3w!dl&j@j} zeIMP@I~B%y;hJ^@U#3PP{!2j2^ut}@4RW!!l>=#nvYmNo!djx=P~K23o2Ap#CdA?_ z4Ibt8_lQX3&hUqK4V)Hin{=ukLX6g&zm3&z;D#M6WKJuPf0br%!Tgpl5CX?~SdyDR zW3WIRP+KNyHs`P#drUI4{9yPwoO|WN+9%0CO;7K}19HBV8>hxN3=Sz^IL6I|6{W4L zA39y@Am}U;m9`@PcYUmUG`;GzqnC8Di!ajEb7|`bu{4abP6t#No9Y+rKe@^xbpyW^>j{{Ka?itJ>IWJj`BM#^5{UMqW(%Qdc$A}b^7R=76V8P~q3tnBPfM&h~@ zE+P4y+voH9e!q{0hd(_0anF69_v^e~&via{ZvCoe<(Xk1Yxdl&mAQ|1()HK$^U0po zeWRY5nVqe_bs?!y-4O+ZqzdtQFvd|I&9cMi|F<)(zX>F>k+$qP zxma9{-DBJQ8$LIoNJ|%%5Yv`8#=sMi_y*NvB$W~8aH;pmwM+1Z+4(dSd2#<1Tk#>H zQE%QKrRQj}XcxDfwupXe7-EizIkp4g2n1h8K@7M8ucNZ3?lA1;>AP%mHNs?g! zgZ+wKYF1apRVKPJ1w%NSb{_l;da+J5+1j*nbzFd~Cf$vurf!~|9BwJKTL3?vt){Q8 z1q0cF7yl}Cfv z-EzNIFQS9AH&vJ}z5Q$ur2F9KQD*ky?o0T+xl@&Hi|*?x63(#m=xbiP0{`2jct(Pz zIM?y>yL;(^b6EAuwR);PtWHfgJwv$f!5FHA%k(E@S?RnKZHN0=WFPdsFkttms2{X< zW6!Vm6p26pnom{L63n`t`ftr>b#ZJ*abFH~t)US+89~2EsB&5VgHcS<8zJHQ{3*|#`l!MT@rgRhnT^v)z|g!7sw+ypp++&YJl}*aY)T&E*>(o8_PT^;oSu3mU8EjTz!*&?yBU$l_3phEblAs}%sm}_li()V#sP_>QRRn_PsE215n zE2;j(p&{f3yP;Dr?Jg_)4(Mn;y?LGEKc|y}JlM5<(|kRqPir??<ln&^l>l%x(=phU4IyS2W5!2}F>I{Q!Q>VgB!d*ClRUy$yyXt6I zQ)Zn&kPEyWAWSQCX>xdT*9JG2?Y(1#(h0Xwe=uY)Py+E27&2l=Af3|{4+mJCSXvk> zn8y+rD?CG1l$dCt-BxVHvzRgsxTB_`Je?*oZIV*vZlDb9;p3(B14Xcn2X;qd%0 zg_(aM0kDndXzXcqYa`Ufvhx`kYx}V7>Jek|1r}2dy)69r%d^?S<+Y~g^TVE{a}?+- zzPzn#t^VZ?uAj`DDqKe0G2DB6-!N79>`1C*wEr|JMx(_NzJ&fQNL(sB!RaL0dg|r= z*yN-1n!=Sq&EBuqO9aRSg%d9l4M`Fftxx5`1nJ>xd{kJ@651XqS(_X>X zcv{@2vO-M3F&8b!DN5zCi?&xpjwK2`zc`j!`JF(0hJv)aF*29#wU|diuA}%y@xIjv zyt$7_xAZ~ZmT&vQhU2`WFi?>Co0ByYJAp}X@O5;C+(sFbMVDf^^l9?nABE>A74{x+ z@a?*NE(6LDWLcdp@{hNE;IXwMHQej*TauYp?G|lEHbw45UjW(m0_KW%@!b0H0;Z#9 zkx~KMl9KRG6iW~p-KlYrd!YAO_?LKUt+-!2Bfd3j3L{B`5NIdYSd<8=S`ZemwOLXq zwr(%{1;Gae-NdyVjjEO~>Zti3aMQ9iLF#BB^YnqJPCd-!dCH&7Vm$S;hj0(Mh7zW3 zw8{?tZrsS(ZDCX|F8(;j=Snh<-J9vPqkBDW?K~G0|z_wdYZQCnvD8f5&|{Vw}#{UJN?jNt-fJ*Ukk5=ZwcqI5eQ_>7?%? zKoFjlnU_sb{%}DBaU&<`_PdFJ_o{J?SKxnj?nOvIZi?z@%ZesE z6yp%0e%X0L|H*(H2W%(OGCp@zj)V3xUi8Pxs4!Dpj72T9qS@0irU=32*s97?y-1|h z_fQGaq+AzG$raONTE-V733_iBW*~7*Ax$Z=TW8i?@;Z3?K~_)CpFawKC7G|vJ^rbb zhzN6%HAbpRvX94Hhh@Fo2_KOO3<3YeDe9uy>#r}0BsnDgsY{f2In|Y zeff9^Iz&#vO&@O4OQ-tMR_7*zYOho`58xnxH1>~2K;3T7ExT0s9Vox8vf*v*@&k1< zA)}WU4aK^XYR9{gkG!r1l=!E{x(GfmfWLd$&391C|G`n#Nuy(8l^_3OeF?S{EpH;m zJ+)qU%R(^CNDmxes8z{W9zVIw!M;myql8b5SxD|``1r|obyELyjfoxv6ssR=;TcC4 zccv+(>zqcv{yX{@73fS zNH;*F30(jPI{^a3_@cGe=yXI=>zXK|xXFnW(4LdGLI0%I18F3ziERrn_n(5ik~cwZ z@7fM{*?mjE0)sv7laP07LZ8K%_EArhPFwa^V0HgFJV^fs^+d{}u*u!r_&Mv(>&O4o zd(W6&gGe&g^-k-TQ^?*X^YKLBH?gO(DvFw=Onv1llF_Vp8Nwbo>{ZsPnxzL8Srz)r z0!`$}g4ZVow>gfn1bvamP{Z+NOGQJ2#X?bmV&ta#SM$s~Qw2s_%LLb+5~e;+MKGfS z4cSb2U(vM@aq5-Ix;)$TvPMqsuf{_&^?-`?aYCo9ckgU?9Bvi#|1W|(M+uNiDA&aE zcN@HE5{vT7R0=4Sas4E;ID}R|^F2@FrsFn{7=hLlfZloUM9ZY(Yd+;ED!qTag@@SH z$xpl6npm%Jp?O?;D_pU4zI>GiF&48Um1c_F>o8e9m#tr;t0Ta|RNVj-N$qz82~(Ye z1d;;Sn&_P0j|+sZ{|n?C~nr-CG<4FGAcDQYA%VK~Wv9@Y}cmW{fFrFeUI9YgV&iP^EK ziHS_(;(!+a)f0vCB&X9|S!)dh-LTA(nYO z53rJCJRI(RL&mOZN_cvZm>AS)JRx_|sMndZ?Vdex-IMZ+D}$>{8bvDO6d0$VXaMZW};`nJZ> zqrs42F3c0lGcY_{e6kgD0KGQ8``APn_UGscfEu&lUVjN1ycp?8-v}5blwAXPp9%55P)}r3npBKN_ zs!QrSjGs+pD8&5a7o#;oKVgBfL38`(I<-1=<*9kDS$wpZtzXH@a+m*$IIg!8!^PdE z+UAgsV z3A(W4KDuC>I-|Ha61$N4@H-c;-(1_5;mHfaaQAODApdHwUyFL&sdi>nX2SCe$Y+xU zGl}H&D+5DAdC-cRm1Drl1W@eF%}s|&py2ECDP?cu4mhx@)_cT$ek;(1OZcXgB2vmT zJYk{VY775=W@A2yWS6a6QZ<|kTJNq%^um3E6ZF~2rQi1Gaz z_tjUkuZ6$a)vQ>FztRwMuqYaNv=@aS&SZpX7%=3T_2eOs;>>SV&ne_Wh%3B?6M|g+ zsO{J;D1At}@rY^y^#nLJ_tUh_R^CsPTu@J%B&47M(*_u=fZvEX=)KtCbdH|=LM6QN zvPLBpvIxJ*T0=Aj&pT700!Sms(8hgwlm-eng)j~C52;*}FZxbOs$IqTm zUI_TAFFt~L#$Un(D<5asbqwVX6sBf_BNn8|fpEg-;EDY6o_BSIK!uqI8Zto403Xly z@8HDPsaoLe59YiiWC#5UAMqnXosQ9Kh@jr@Qk-&k<2r!_F>zMm=VaoA#HMS3+f_H& zul#pz2!1Rqt1AMw5|sp02Cb(B$ej6%7oy=ucIX5ZG3$l;#itK9`ckuI9mj6bvZ4dY zKs23c<7M2*&cv9$daa&~$j>b)K%^L1Qzg;04@539Xd%fEU3%F2sYfG$aWY#m*jXRJ z9$x1X|4&+M)^bF$9RJXz6`uIjYaj!7!tE}t4j<`rJuY^=1EtINO8|+Hpw805u1XWF_26@_i zvHxWUYEmCsO~VMF`UXb?c$aviJi$21)(u)#a55R(;!0TMopNmt4y=yocDveos`p*l z&w8pe#p3;%83aDl|ro~u=u?C~zOAMP6_bv=F@j}j7dzg*Y2 z5ffcsF6zCIUH^(H2mPCG-7(XF4emyS`-7WeX0cdsYUevWEX4jwKX=zG9mpsDA~z8p zohQW?&Nzp5nRP=0QwEXW{o#cJtj>R+QbLOAFZS>^02o3FpkfP?}o2FM+g-B#6ZtROMiAe(S3*S^CWz4>cGfb^O5>+x92S(aO? zIqVJ4TN9q<4V8@2xcO=EpXnR!wo{>pon!x$EN>v7LDb#_!q=({6#U&e0sA3+Wh?skP5_|bS>AD#6(%u2zy1Ic?5wxPnj{e~OgV`B3 zs~kCGzQ0mER0JGNQ!!gO887yCDpTKn#Ak5u%ll8>70knZYvC``0@i*)(WD4m2RLfqtaZ?xEV%S#Z#Q9L$gg zbsV%DK&bN=kcFYH;vc|F3iL{_V4TW?kGc3bePCg0sH?5cY@KRZ=w_(f zy)V9Yv)J11D=Iw1u?AbR!hDN>(}eDbt=>3>z%AqypGh|$JXC$JUw=_vxL{N~^l@{7 zd%Crj=bc-1t%+dnR~KGU6QUA@Oertgysql&Jw993qeo_d1_u39XDEgxt|9%QuwrY zL5IQP<+kDKBGB?`m5`{lc1HwIB12=)ic3TS$g=3l6Dz9s+}vY_nn?Cb!TM1<_iXkW*6^2c7rgaw#~9?LAZqZWjct$n#h-s{}_XIx7P75?%v74>*lY&Tb=EK*&_ zbSoa=5aZ9F0jw1dhxD?_#+%m_UJubhy~?GvY7!pmCyn}8+!N+i(qcIl-qG+efPOVm zSE0rF^^wrVd&&`i8GOg*AEalpdwtjZRzpdaH;b{NSF%Kh*J#>0W%~Mw3L^hKfOhAp zK&R~UGB#KyHT%)UAK)*R#(<^m*#z|?`BEN0Er2YfAHOOCl8b;36Oby383K{>jfY20 z;y;3+#nvC%Nt#>`n2bmRo#;5d{HkB+#_qWWab}1cw_>c?-9J8*>Kw&u zbK-0Ke8l@2f3UCO?;;>gIJF;z8!B;*rVMy%)El=AN$vMzE2zO1!RJ+s7&Mo#eQ8yS zFOLkEIAAYlPwy`&!!R<&(w?*9DVJ2b8-S~dCls`*pf&b-1myeFXA#}^EQ@n}@O=+0 zAfHM^skrVIEk4~0b&OdfoY*r;KZt&3pOgGK_!()>toZi=(skKz{bk6rL=0o2JK5v@ zfzh4^guR*8@6AE|^hp1iX>J(gn>X{!i`7ty}e5N{p9Q!&7Xzjm+FKSdq$jxNd7$HCoy#W>3&o2ooKh= z7KJdkt!^mOM;&z)+|TirFC-b2JkCI2AR@RR~5|)R1=TF_ZOuk&B zc_?<;-=mnc=gflQyw9ZD!=3D~ey?ujT_Yu5aS79rT$UcpI?iGArL~?gd~SVkG1*n9 zV9ULtg^JIevsLXn3Z$M{_orZ|V7gnOG0<4+?q}&sI43R>BTKmlS(L`NW(H|%Regkle z=rQ0CK_dr3mhOYhsDlGZpoAIa%(5{1u0AR_U5GPkU^m|VTf6GMdm}^#Sqs}WB&*mkFckwO&tQez1FdWw2Z5En`_U`pK?E$rFem~p$3rB>AFT;!pD2_ zh1}}XwEVfkJ;-LvA0$+gaVm#gl^e;Pv}m|!k;gg9tCbizXy(>$aqlZDr-)t5djTBw z*T{~R$TNuHq@0#~mL3mX?5(0MBiwB?k9)fL7QV`+>D~vsTBaxHC;Y#(^$aoLDL}0@ z&2Z!l&Iu{n6zpB=Y{yq1dLLMA=|4iGwnj^c*W_sH(Q42Zi`rQhKOKAs4=;0Fs18qUrOKonQXczmMsk331HAqx@P2QH0g1 zGWg_Tg)v^|I~#h`zj2@I+cu)By)H7+`QB&L(a8B4Bo#HFR9fN1PdnJJ(4A>h`HkVE9InyGokE5A}@oP1x2lE41bLanyUz*00*j=*E0fEfI6K z4ToM4q4n)O1dR|66j?Hq@s2Na6U*!5z1eo4%=;Zk#&os0`f(c9fM}0##E-LXgq6;@ z_PYf3%~VuZUXLZ!Ybb+onilXWvuF~J&)F@cZ7o!5b!qTOHBM+QG;JO-G7W5tS zZngPpiNh7aNgg-l0O#J#3LEQ1DE1cm==I_=oukk6-*JtEW5{7$!UiX&vNQWFeE9Bi zH>P=IQy(=SLe_l#v1yAd=dP&`Au&m{o^*RZVnjGV`uY59HYY5L)+7Od3OSFjmr7}0 ztK~`bzYK(dowm>t6A*G$nyO~pDFP|7t}r$3-|u=T!1}wlWm{BiiURt$Mmq)5ny(@k z`K(fn?KM=U|N0FPRLrzcNbU1#rn>TuQsk=k`NqaZN`T0_t*kZ7^ubM232KC%CZC_p zfv+hvce+JSEFKyBa3>#pfVDTT)bhV}fB?iupw|OoU1BULp}*W-8}10b%?48(VC!Wp z3#nyh9IP_kh#V4<<(E5-TpESl!_1h_y*>cXVy;t1r ztBH$HQTNE>OU!z5;D{B^^cyDXYE7E3rk(G0&57W(0M2kg?h)jJMtmi0S4DCCAhq$Dw-8(`f?gzWkdSV@XC*Yy?_SucO zEq~%Ct{vN4J*pt}T4HfAMO4LT_tOzVpj1t-WjHrC4ei=2oMqw_s_CxHkh4NVch?;* zf1_~XS!9Uoa^UwnhQMADFR;Dlc?y@y8h29SS&QD+@7o-F;XuNPIel7f?$@O+;urKO zX{RMx4;By1L&BY1#Y=^|JZ^5{Q_Z%XP+}H&5s(*K2$&W<;~81&78lH$?Y+NAPuwB^kD2kF}y&c%Goqw{>dr9lAFScCtyi_1q%e(~`M1Y;eYNg08KmrqNY@ z8OKTLHO(K=nt~P0`uFy;q|W(YSUlri4xrfywcZ@2*G^aLh;=>8Jep}{QEQ@i+^m7m z2I)!DHUWBNg74E~z#A&Xof`PxK{lgX#^`m>z=~KiEBhYVAC;aP-2b7=mQ{-)XKqsb zL4rv_odK_X*|AWS;IxFlg`4IxOZ*x$!OFJ5g6*j)J+^ z^U^MORzi0FewBsK;rtVSY~s6o1pq9e%@XAL%j!F%Ve@QgW=ZI@D;!Ca_UYfcB>hGP zIZvW6J!Tu-A>qN3B>TpzW&cvGgyP(f$SP%@93Z?FNg9Jc*Y8`3SErVln%89Gd_;Pu z*GGAvFO7-W1Xgc|>eJSuea)7H5MJmE z35lB<1ncX>y7Oqh6$2%mJ572Mv-{yu< zz4@eKkW1S!aZ<>yNSM-;728qT%ph+z zWZ=u7pYi#yQUG5Eb_w$?TQJkE+)nc$PTB%tbGoux_{uHoU}*Va#8}eftu&U@5g7-H z{KLhqjh7S8odEm;Jk2050)Q55g*6v#s4@{ZL`pQ{QjMGeeq-4Nf^*Wcr$p1Hs<&jT zkD9IYIGc|!)nho93ns&5OpEYsSVfyyjnU9V;mLts5Ihv+qI~og?mp{_IIe*gKy4o&YgxC+ z&*n3lJ+q?5wOK~=8S0x$*jeBd3SGH6bhQ8CGjYmD{DO z&%hCplp-rhlPlv9A|-{bo8Wm5$o{=rMg_%y5~d1x9~sULt@@!2skTzRh+71iI$3BG zmFbc^Y`%!@r)7z0BfFmxq4^rk_OArZmnZWwm@a~)bma1WefTE&_#FG}seH&E+jbmf z5$n!d9ZN#huGf*D8gvYu6J6Md^IUKGBvH!}_;dG}Q317*tq(k&_Z^hqB0VXcuN3-g z3?&3KASQw(g(E9WX{#%hRA_tTez5i&4hTNaTJ|@Sdm`iQmcwYB@TCDrte2at> ztZFl}>7*9ptnp8mzK|0}hNzygf6*-CX~8oN3CNdDhrXeThqNnc9ghS~`=7=X z9a`4}NmpciZ7~B;cBKhR*cTj}A`G*9C;mFPY3Ntzh8n*6hNSem#a`D5$7Jj5Q(dU(NW$#IlcB!PXG$iD@B^jod+lKF9l}>|_*_B1m$}LZs4E={mCPc{F%;9MG*m+7)NORrXH1Wy#0!42%fj(E5zICwUF`tHC*={Ztg+3yN)kzc{ic0hdhwzxL&^M2lM{?!ByTXrggaK z)*OHd{;5kbn8V>{oHfH^bpv6l;s65TjSOnzZpXPZg0TP?6_uhNf|Kxzl_T z&lw%N2>(goKnVX|B8~K4Eh`rjBW!pH>#ax2*?%wn{(I+Hi`mc7Cg!K~zca#!Vc)B5 z-G)34{|(pGH-_nz15Z9x2T$sYq6$~UnMux1kR1c*I~y>1^MKvJEsp;C2HZWa%4GQ% zYpOf5viutr1`h1u&E-tGV9IhrX_n}(PPnqi&VF^Rn!v|iWq}1D@=((LlV9Gi9>AOr z>FZU!?#TzlX;3|DR+ML>(FF2$fRPXW;TNWG54a8U{`GM>$-+&9M6JhEf*_ewYe; z?)V_{C}Fd4Esls*3xCrYVSm@Pzk8FS2=TWyl%Pm)2!tN*=+y`8Ov9hg*G(1Nxc*!( zfMp($mU!^Yy=90-iG@(S`lCWnjXt{%H6=MF7pb;k7Q4U5&e~2}#qY@fmFfZNdJIod zYcR2!DLX)_*k&N}ax5AbC%ok1;lNl>8vPi!^VTO36tzs5V9yZ&N)2#=MJJDLF-Wkd zm^P-tP&uqHv#nogGH5QR{amo6>Ab~2ll(@48RBzAFbQ(OkhAtv=1w+Kgj(f;knD$N z%~gv=fph#B0h2qo#1f2sX!=`ZbRDUIxGcHWL|#KpRu#=9W>;8Yyren#w%k7b)S|^6 zq(1J=yD`_G+LLnJHA2~I+1qV*$-wF&4r&}P$^7D7E{+P2b~Sfx{a)LF9kTqbAc`a- z6y{6Lh06L7fsI!oU*GMYal!7b99E)t>@4)(>k5Si=as-yq1BTu z*&b}BIryRA=WSC(N}@Y}wm_Q;JTI;*LylqHG1m^NL+xNc0<^nzJJ&%Ec`G(KK>s#g zeaw(0O8YJ0^yF~e0O}H=O8Lj5uP@&tn|>nw!O3_Ea+2eIll>}KMoq|QUx3D_ygxB$ zqaqdc$+LD!8NKa$&#FkMTQA-E&7y*g0Fi89Pytti)vneL#l1y8HJkSXk$P#;Ch|HJ zSiK1L4BxNcQ|ms(^Ix1ToLpf@J1Mk=bXx*_$TU$7fL(#M?)9Te(j+Lc$c{SZMhjyX zFMlCd-h0OSaw=na@j_8W>&bhvuNn(Cbg1GN*@E+G;VoNDDK)bTWg8lqDG*PDp0UsX zqJ-El1hP_&s~sp=qfI-lH!TC#D}fw3{-Y?kqQyoX$DOm$)$dKVp4-5r0kj$*I1L2a z05qvd?BKWi(IJ=Ud{WBzX;#r=0z2Sgvo_a}olV`k-TyaPmhilVX^tvz-|5kM zV)wCJ=>C$z^X8pU(fjP$y@e&xPixjIPH(4T$I{Wb%W;e+HEh|Cv%`eVrrQ2rxbIfn zzs7w%W`A97La0@m&IO3=l^+Q{oGQ*`_A@Z#Pmi1T3?XX3ys~SD1zu&46|V4 zuS61HXopj~DP>}sb6i0_!O>Z-zoHuOqF8x{((>%;a_I|x_ODm{nk$VU*4bD;vq}$< zVa6L`!^0r%XTq&ym1jI69b%!G)3^tWHvnkr8!V}s`s7++s-5|MHtUvrB$j;xediGX ziytZ(_}uAB#wL9LdKInmEEGylmb>CHE8=KAV)6HM>pRfu0=?Yki_U^b@v19|{IlVL z>#AOcRzs8?ki5D!8o$dx#v{XD7$(6FfNH)=FFS{l9u$w=m^MovGYLJssGqSqA%}2$ z3Rszo4{?7dR`czv_t(3ee35;_Mh!Ar>sC9iL?xLR|3C07DVj>9jre#>*nfIsuxwC< zh8I|$1%zH~{PV2?E#&bqRQ%H7Q^B9}-ePQXtKYwL*#qsvgsANBJ!j;zD9g+m;UziU zTFa-iBE<`+=1|sbQTqTl&Q6vR(wns28qqbZ3_(0b={XLkw|e|A%`}URE~=k06vgcA z_tCQwXT5ZiwGl2s%)cP=I%=ze;Bsyt06#4-Aoy{-IWqA)Cr=QLAn$V0=VZGU#Pdf<~xFVjN2vnce#ce zwcJ>@#8~Tl*5|Y5LwUzpkBF#LU&BAUiR<)Kbv>Gs7LwX*&E-)?@MJV(TC0nS$ixvj z8#DZP;~A=x(E?s&oaKyC1Y4A~tYUk;PP+S}#Hd#l(P0u%C>2yBMtMyRCo`FGJ17By z%^OcJ@m^HRcs@8h%+D(Jg_+3IlKJa`Tmt4-y(^_(r5SEuA_OfUtYB7~W$dj0KNpz= z23U|jKv_&^5TrT>n3fCZ!_`7@*~9Q>XO;hd;Swd2EkS14fwo7!m17I@uI`S&OXmG# zEk*|@yuOW7K5R}Hsj-P?n%#D8@tAG?Q{HcAS8JENL4453g`FPnsaw7ttJ&j_xQS#p z3(?7pKs{iE86v2Sy@gdp4Xq~I=KR+)8AWkkyOWPtW4R+3LRk08X`n7SNT+v z{Htfp557Nw=|or@Z+Cehe`2wIf8;pJ^dLEN{p-#0^&9&^|B~yTftvBE;g84aS6^cak@fmdzP%x?T}Ee=gReJq@SR7YdBuYkWj$l`zG}|{9&k{TpH=9QA1)-GHr)NFw!`BMn?SZO%}(YB(>*|Mhw!=0(+Z zsA%1@C>y1(NiXfz;&YxYTK&Mwo{0iqFVWlei*>9=5p40MS8D<{Y9n;@-|u(cwMtx& z6yOznxw1F^7Me5BKZkBCA(g^BU1Cj4ivHdNsqOq6x}#lXV`_r0oH(n|dsr1Z{JK;* z*vrN$3P~mH7v{1i_m+8>rF?aK*BWu@t+L|%JqRovh{)onGQ{+6)o%zxKGkJuhJ&~gBauf!Z<)tlS5qV zd{r>BR=F4a%)Cslt5m0jEEwIECjIk=qJxpf;%~hg*era%kI5WL(*7!d1aY@6+Lq6a z(K0LDwc2}%)jgC+5aQy{1_uhn^_Gj!9>@OaPz2B82QCBaOnZvyAg%}|3sjsO)dPp( zyiQwf?madjyYQLGUu|sV<(R%^4A5pYK1WlTTPB`ed`vs$w}8m!m-osVQq?ol_dDz! ztH(~b_Rq>)YSLE_x7b++JQEDjXB0HYtaz#38uQ0GF4=m~fanXGvq(Fq2?K6J3g4ER z6bfQ}K}aniu1y5f#xwtQi4qFyJ>U#ogu?S0 z9=p!-;He9of83XkXtqL8DAGkA$|t?&dQz1YkyhvAe{jmg!SnNHt)u^uo zHO%zV@V)$Cv2l^T8ds!Dg_u{3q< z6r`tO;fH{UUf6L?R-^UVi-a`GsolRR<_96%L!)5i6CS2na3`EIEc97kdLNRwDE-du z_gcNL>;}GlOPcWam&-T8O#pM(aco!9o(++ld$xItJo)>&qbm^?YK@@?oIx_DXS>J# z8kI5NE4uIa@t2$c%rmDoiJgvh=TgF7+Mh{Fx}rrsK+M)08WM1pfQ&PY1Ku3`ypJhS zjhfHe{ivEPUG1-tBX3v~o(@77wvYYr^p{H;YzFm-cr5UIak@ed&)>ao#}N=!!F zK+>1^3W4m^7r{;D6|+-4wry$}k`+3(!N}IH+6bl*_;6$?8#45P4vK10;?<8Vxb>9t zu7LiJ;nF#;P*Y*1U?aH)K{&4Z46B)Jj1qLJ0<%=^(thm{twamHG^}7SMtNnuAVLRS;8BRw@kf*nigcOE}B^_CRAB6 z_lScWff` z4KWG}v4!>RQegrk8Ofh0@lp%n>^J1C^YeDaXdeirX|3FzSaoa%x$xjHTe;P(QnH!d z-w@todAW64sGpUdaE4<>hTs8t%+8yN*zjEivc^M|_NOM7LSgE=zf>v+ z&s39Z8ZvOl@&KWVnL0k5Czv>SImV{h`Yc(3$L(R8ZpM9;9tK!{tcA&m!0vNl&-B6_ zU|j~0E@;-~g@;y^V;i`}z_YKc3^8{;EO^;FIb8ywiC~EKLCp?EZZ|%#A>z%;-ihOw zN?LyJTQ)R2d?Uf0Ac`rx{%#+@VX~TVh(39}=j`beeRPFN#jb6W_gbdqs^^b2it)p? z`fAs5`9_Qe)fg& zFu?3U`X}dGI~%(0&*c5Dx1szwey<3H$8nBXwVfYuCUDFFxsP7Roew@X0Ey77@)lRv zZs=hB%l>{aKza8G^9PW>)LHZI{((dSZ2mo-UIvU8X7yKELpO5_z{E22@nR{_={) zcI+=s-Y8X8(H9qQk5`gDIu#{;d@HJ8S%hV3M-w6?%3}wNv7MT@f&;d2x>^qp2P*`T zk*IEtnIzggpfI|YuH|6tu!l0l^y$Qq0nP|qO9BE@LG%S7(xzKSZsR@UM}?jO|3SCh zN3%)I1))~Roho)`MbSxG!5%dqh^FHM^UF;liVDbLHu|HwDCC&*czVOf^t$z~F)*uN zv>Lu54FAGR1~MoB9RyUW_)|Bl@p@_yZ1&$3mrJgNRcHAKy_H=Kquy&wlJ#}OK%Lfq$Bbe8Gp)V6Gq)Rup z4l+yYy%z4b`vPjbt*{(J<~hK`Zm-<1eY*n{9ZKV;fx~rAsXO zz?TQ|`T>8~`AaB6I_A!#*Ar5%x6&eZ+L=7*2%dVl67-`aF9)^Yo0qe%n+8kge0R52 zPke7ti#)|PtFGiT)?j{nW}KM!if6zvdKn;LDLEdswjN@eYmd&bf*}806Z3Bzr2GAO zap6kNj#c}CrIa37$2>cX-lhJzAx4N8e;ZRvs_mi`!%Pr7wRY{J?AHq%pb(bX4e=RDRW% zUV&XX=90ni(o?}|Ell#*qX>Q$Dxr5@@ct>>J_xNW1lw9Gc{XgG9$IJ>zx_tE`VpYi zb;}~{*aO&lzC4BGj?+`A`EH909_>gg@=xlz^?ahwuV~y{;6HhnH1albCtnxKg^OUz zM+M5gio3&mfbi@)6Ub25Jf?}+J5j0&ank!Iup_+a4o`pw^~q=qRo><<$2?YoJ<@KR z(UCJW2uz103V-u{O|**u2O=dG-*V(dCRz!!#TdObuEvK}U1R*K_7bLs=iN)Y4?$*K zjDoBxkt0pAXcxh=$xm-QZKzzBSW<*@2k5H~e1hYdz90N?Q5Emo`LPZ=lCA?LG*%6b ze;R8-^viqb)v05b3WLgO9xP9*rt9Mh?Tmx6HSXM`VQ#u=TAz6oZ?$ zBQoFb?VJhkdu1)2Aa?r`%EkXD#p6NP-=nV!X0hVmO-1UOGvqOUwtr1DVQwe8T!)Fh zyr}Jyho18UwX!Wi{UiMa{7ZwA%y_Z>8D|X(%(!KX**ag#$GF?KSQR&=)E@)lnBa-! zN*msw|7Zq4nlF2ywCwN}|5vr3>5uq0^2V(|%+!Dof^?(7;8qUMqX53b2isbRqMwR& z&y6qj`%@pbIKS1X76`mFJQlXIluh8VzEgAgX1H`7=Tq^Ltt2;C$xqJ)Bs7Zg9blYK zw=u1-|5RW?Gn^#ut@NmbWcWO+LrL0Cnc04MS*T}m!2ct#vg$|dU1V$-n3q#QlT1wJ zN;4<3x1r;Po0%|yejy-|Ii}HV|0yvQaYat#JxFP#hU(0#(y>j^jVaMKXhnM8xj=?# z%c1VIsPX60fD$Y$+*MV=0$p`^jI|v_!7bG2yx`O&w}89(~b9 z(jS%Ud2&53ZHQ3P=B?WxW2DCoL+l@~jtoIhlO;);uXtxh`NY25QS?qw4M}cP+rLhy zt%xjJd|ClOROP5X?U2RYwcGpulN^@x%P4~cg2JClvZyYh|ol&jOlt28}O9 zPiZGXGe8JKlNxQ43HQ_@wQA_1pN6-BoQ)Uc2}DM#R4t-YNNlLQUJdU0%UJAJ{g4{2U?R`9SGJ5)4kNi##0HLQ zfeYGO^wmaj>CNqnfz%SA*7LyHzthmUFx+&V?pwJ^`9h9$m`4_hXxl1fqCQ~2*T^mR zu4E;5K#}4G{ww7m#7lqfkjuwqO=(Qbo8-O0<$9XMYyWe-pM&e$MPjzI8;_UbJ472U zkWv=egIp?xYaaA(y4I>vB@j_3NjZ#k)2-9xwI);c0X|3=a2p1hz=K5C+{sFZKoG55 z+B54FQ9b1rf#h-I@P={!x>|xYcBIa}BC=v60YAGr=Y~#Z1KwGnYX@kKoXl6 zXYeil!3ba1#F?f+*t?hDIwDrn1dES0JrzBViuuU#6LB{r7p1!Ib&iyuE@9jK9plEv z=Pqi6`EZwTUkpy{Gj|AS`ahehX2%*_KuRHVK$kPJWrMm*xI4&S#i?nr?y7wk@+x#1 z+i)PO{hortZStE7GI|cU%5hMWG4bhCVu*ZiFdlSk@V$rIJQ9daau3!+E2@TEDb>~Y zV>~X%GNuOYLOLQ|S!;|e4Mir(LVS%EL?!vNsfrrUiHXo{nYa2}>%8l!VJF7nec5mO zMLN}jy)^_t>|%F3+E1I@PrG!%&hQYj^tt^rL-T-R>6E5pRV=Ue1!1$K-D| z2nGgl;s@)hmt$0+PsaKe)KqhaKwwYx?%o!E_e*s%+%6&Etuqm%gbOf!T`;w(|d;=C85)IE2vhv*zt%y=|^0#ZhGK>K&=?6qzk6EkIg zHoaV*XO;e>QhK4r=ZBKBtTn!M(_huDZYacE!*>N!P)a$KvH+ zO_7-yrk4-W<4G3QzeBW3@uRL-9`y59N=y3XES(wxD@pvHptSvz2%cLA>anETC8QSm zYh#WY+j|jBpQS*HP6Yvj~Z{v@q0;=L>k8;x}Tv*6iu>je-co-rCEqzgg`?fTW4aS*!XHCtC=@r9(NCC)+@gu_3kTHmVsl;AHB zD}Sf%qe1W2?-a7A$1dy%HP{wmd7zyBej8tjriS7Q(AB{!uv^k4OfY=E9Is-vo;=+1 zTurn)X?Y_nF^~M;T?IFND>h{7biziCe?^Q6|B^IW%7MS!`T!yZ>Zo<+%oL~ULq!~@ zS4QfNtXwW{pXKaQ#6UL0(bYltA8k>y`0fP4w=B@9v78ci;pwsCHwnWp%Aw!r!?mfc ze*YQw4IgHwN|lb62Eh`9`nIG4zjnhj=ecJHpiy-KK-8Od9SOh zKf3DV+~a$H$7c}OmHf<2bFNZYWVf86{Xwi#>t-R%%kn9hqA`7Kw8vc97~-U#kw{i! zqyg1u{j3aONC+O-ZX6R(k^(~`&$q0&jf|LSFjiR6`AkHAU4ie}ae6RCr=G$h#58F9 z-B+6LA9`~S?lm9%uo8TcA;RDwCIPk7UJ3zcrB5y^9+Tad-|mD;w|8s)ly-*^&2i^X zk={MQ8{F^6D>5h!d3dwR`RRmt8I%n0{S>FybGTr(Wj{a6%>pd=^2dS7k$IPYk!vKh zOikiA;4_9CK<=SljNtdRPVvyGX*cZ^hq=WI#ML>=p?WKWTqiD+Ve2UF z_zS;$>ATVgja-OYfWx2;m*)jSikxNT(6wha@aRv1j9&zmtf^0L&4cvpJHwmR7Nz-d z9?YgUYe2Dc4`!4Kz8F@%MQTv>g=fD<6}@s8W`1@wgEnsOoYG+VN9uS#f&oEqeM8w8pzv>QB5yw zJI|so$gq432^8|w?VA(`MPV{xlq@6hsK$85rex{rkT6X~;4czVz_zyWur6CDx)q9W zrcD48qV$?4dScG3F1Xc;q%35}cI%)-HHMD!;|g=db4Rd?2DYEZXOC*_51RI4ZWnA( zaa&^=ktJhvXjMgb(LGDCO zFa0`2ZJ7pT8%c)nAI+WkGXz<(M-0E+_Bi2wr?=7(gYsD;C!P1qu)#a*? z-oKr zl}8vnEPb=0IJC)HE9$T>#Hfmfpj#y3{RfzYRBV%VH8MMXf7Q0yFp=_X#!Vz^gs{~a zl3uJveZY|IVYZ?-TB!H=KtKW$-)xWHv{4sw{Q>y;*&k40jJ3%xepbs;!_FeBx`IcB zP`(7mz}PZd6AbGs;LjQX+_Q`_v8?pxqj?Cr-I7-3@B!h!6OisOaU0{f=Plm4P|rW3 zM3!RDM|T|9)rs_Mb%_b7285t}S$tFzCVTLjiCUt9$4-3Ky(mZla-&00K+9}_S?nC* z5s>UWuK8ZAS*!c9;9JBGVuxxinn^;N+G&Z>cOw6d)0K6XMp zfmErEJd)--TMrw={8keng*p6n$5s6FYp)PCxyX{`^yn5tQ~40e)h7%z*Jz@QUcZl< zO)Z|Z03d+8&9|*z4_loM1C2PuN+Xdjw=+*0J<$)#@LXLR+gum^R~trKXfRfpzl#4<36g~C+>c}4U+9Ls-?x#)(#I&cKYAx5)^ z9f4Q17iA!F>>#=%MU?B5o4%G=a_uWLhS0t8`&zD>Kpno&+}6S`xweJyNB-Pe=5fse z^0xEE*G=AuvNA{z5r8qH0j=@c_5^yZpt8vWT1LQA1am$e_7Fg)2mTck7O%iu2K>J6 z&`77BuVcHA$(vDxB~Qy4{_e$yIv6hLHkC`iztr3z!UU`bh2tpO zXRwDcO10mh@I*hnQ{%V+tZ$x9&N0FJ_p1{&e*iB5@QslLmj>dq)D`_nAq**lBR0s7 zh8>U((J1jN?0o~vN2F${^yDl3UdufxpS{|vWDNIk$k=Jv(EEKm=m43$$$BbM&~yWM zE?{Sm**&KC)kJxfPBtb0rQmg*<@@d6fsW_9~9ofHa z?OP>_5E*(H_k|TYOdu;Y2m$OEz_JH~5P&uVvW+0R5uE2ZZ<=GKHHb*J*EEm77v@pv zaOL(GiL=zYRP2c@3JRUGcUpt4s5-*EJW8rCO2HQz5CRiga3wSNooa=ELRbjV}7G!AtD19?cXeb&d4y^_s&yfhM zrR5E$42!$+58gACk4vMx?J{ADgU4aeeAj6g>wK99~CDZaOIv9QX{YbL<@2(OV5i5!mBoi}U8zia> zHoIW#w0vFlnz)ok&F$i}U)kQ+pv^Vc$hG>Jo46S95rAq&xxJbzRp0U-zt$J=NzYOF z7Eg&?jw{5V@*R{y|7a55r-uU)FnY>M1wg{ z5@S6Za!%khAGI`4kH~lFxZ+DQt8PiuAFS%<=$oCN_ zRj1mhKOUFgM$HYR!S86PvlihEDV)ek%cD*H=RTo2c!<=LIrni3DC8rdIa1(ItdDw+ zKVUrm0;QiU{4lTkjdojVHP?(AU{CCQsu@w8vt?L6H(H9+ z=Su?>K(BN=cJC>sho={AX!-MlUp~#9@=~1yekfNQrH40KI2U1#t{`DutbFhB8%#y) zU{Ox4$ZExy^Qp=5qI0{h5K5`!-(%zJPbJ@C)N9}xyn)2>wLf0$OW6mFjEuY({0)Ss zR(}xvQV68Q9|BW{DleUgFM{WVSUFeppriiN#k`i}tE2!E#Ao)-BfD~8TStf=VXs^= zj*u7YRs>A07>dfN1#_cvV5Sx?C#&?1C3Ds*%_E(j*IxhOERGfck|lNqHYh7{VX*=+sLWRt|boG^9KF5 zg%Ck~=HJ9i2>X8fIol`y4&sDP8#Q?4(D`=JZ|tG6GE&Hk6yI)3g$m~CE_~nTk&;r; zr9mct??mLqYd8*47uMgvC~7<6NhVG=rL@#02P+ZWM$J4+HjjuM=z=MJXa>GkZSL}V z+?xfnJM9w1UpJnAy=+;lRY*TGmhVD@hHWFu(t=3QFO-MzP7cCqBc?a)<6V_^W8G@n z_rneZecbT`g7zA4*PcxYxI(U{$P*<}OEm*it4XdsHy2(mn!Ft%BB~y5 z|10{m!MyxGsha5cj{H~c^dV^HWf@L%#+HU9+1rK*n-=c}n-2W+?3JPh^W|5cl>h*n zN%s^E^9bahT??Us5{18(H~}oHC6^8I(j$R?OF&Tsb&yb2Br!v8#O9iapvURD$#yD_ z$?QlIxEMSIEO09TqyW9IF6W}O3PB~ds-2Tnva(4FlxVAw8o&=TR;szy=$T{ZO7!W! zuQ4mJyAW|kHAdS=qI^%;3yQ#fUbCZqQgL9ar!9{R=ko>ppi#uJ-JhVG%!tNk4>m9MoO< zyf);jW)w~ky`@sSSD{;R^i@HIhpQDvC6qs}1k*xPn*~J-_}0}XG7uvOKxNUqDi5+G z|3X4$a(4=Oj#kEpo5i)q7o|>CYb4kg!0|u7R^{^*<7;mUf7$!1wnH4ZqRHSOba*0sobiQh#5FJ$msig7kOuh1gF44l# z@V6c>e;Ql^t54|XFsCfV5-SlG)9c6Tbk*`hrCX-ulZL57K@B#0Z)uh%j|n_1&^KZVU$z7nXi1JsI$D zv~Ck8Gj3%YlVKT{#i`0I0W%prZeQN+AS%r8{Qq0unFO*FGvHyLLm8m;yGnpsiuS86 zd+9e>cl^NhYJLUjit*J%=MpV{`$~bQq|a&1E6X!d?6|nh>$5Zp*xbc@?Znu6(}B?kHzK0M;)Sf+^lZSsKx;Rbtw9+rO_ZQPl49g3EG15djV-}62DEH zg|e1}Qus84O!9EAud~;XxylP^7CatiP-i<`FoXegl>BGZbyPJfHwI(RXVCl1IGMb7 zL{;apFQlq=$t50uxqQC_lVnO}kR0ShpyJt7n4{WG_*#Q0>4jvLAHbjJJSP`4|1~1W zZ2fiC9y74}ceGnR{0xJSW!b%~OQMInxTH+=HAf?RO=Fx3@vNJ(*XobcK+Egu23O#f zwUatjp6-Yec0Daf?c8Q1Cgr#+pe6z>y(w{QMvB!AI^u>HP8u;E01t-V4c*nj*~cXr zZszw?M^{R(i_;pl{1W0w78{U(GBJIs$7!+RghnY*tg2~nq0KH+b5H*$cB0Ew~v=ok*&+u^dWVs8oqbJ7+<1D6h zcCdas-%lWIEkIsP%pv0Xsqa@(t(92UGqextk7zWC!kMS6=Z?;z;P9#n!<`D}S^I5UbBMWzi+hK23*RPIbKj=X>!#Zi|b%yj}7P+s-$2>3F5g8(Z@y^ z&l!OLl-UvH+^lJ!6sU$j^*ZkR211K7p5F;qrQe$=Y8+HlyQjELuH4Y(BzXlb{(+ru z3`Cj++;kNt58^b}Ov-hKj&FRTv^ZX*G^>n+ky#s!LmzmkvgscK4J;vJ_oM@??}d0~M^&&{R@T5yr#9PwB%RDO zhz(FLo-Cweeb!_3cv6Q|M*A?Vk0IclnXAh}V#)Ld%%G?5dcK@$G|A%Lv;k#7osaFJ zuuOI$;Y*g!aNH>_^t&4^*UHcz>HHQ4_eP%-UT4ompGn;&TsiMgMgN>pZlRdiNd6GQ z@cX>e5jKE0bA8vEde}217+#yBJxT+FCjW)SK05aYeiVL^Z2^J8?ZciZ`rZ#JOeS-m zYht9?;Eo$UTEAF2qBqzT079*VqaQ5(&_;PBc;%|M$DC;ORnqDZNf+|cLklNZ1e9vu z!P&-f*`(?Qlk!Sh*?D-I@H)ANUJ17PKxgPTU1S@+W)Q15Yik*gqoq<=vROosPmlOd zFhKc$YQo${A;vv^c_Bb_+t8T`$XfK10}g$G|EzR@skt2EBLN?XeQiKa8n$gqb?Wf( z{z3}Py5P0Y^R?`S`7EL*$K3(@-|l8M-{3sh{-20cHF0y#j}j#nrAe{BZWOdb8B*_4 zxZzYlBV(gJ&jDfg2}1WOisba4tBqSVW<}lPaMqga9B*hqN~j>1vTVGaB)^+>JKYp@ zac?4)my$1&3Vi($IDHivo$b_lkJ*O|cvklDZ`()H�Hw1Qau5&R&iOq&Q3NG}U}8 z>Q+E0jO;jlCFok}oH(ny)@||x_#maq3Gu$LwSw61)#Iy)eV_0dX)=`rqUSS>l_QIQ z^mwyqMp{?~{CA>T&#onrUqthv;MV3d%M(u_P?YWq5H6(Vb6`rVR_#?^`78(heIUFW zE-O>D2S6523B;ug(@9tmpSjcR(4B(FW{z5CtZ-{4MCigbkBUKyz@1F`>o{7`p3D@W zX9Q0ejfV8(E?r9OJjp99xtpb*chM;|Qtgtv9SbOIAjA$r1CWw`cJ17tR*Vsv2rpUX zK6|YJ7d#78qy*C2Ls8|!Ni6IN%0snlroLzUmO|;rHjdXG?&_HM(^8dv4W5PAr#(6z zI>seH<#Ok|<8EY|gWAa#*&5kcJ;y^6y?(mfbn8FNVsB3Q@9xYnYZ4Tgi>Hne_PYdDORIFo#lxAD*`ZO&QKQ z9yu&~HIpgn?zdH3ThrBxwPrh!S*IEWU5_iL?|jVOYeP9QL=2FaAWb=&Swf_au_shn zkRSx}Zk>CS3|WadS7!g^DPF$(T3G`+R^gf1mGaYj0?j3Jgvqa;jmziOzB3JC*7Z$D zQ4v~kdPJKWracn=Da&MvhGrr>s7`NBa3W*xBZ5%YTDXo~`Lq^l(uiK$$FQ1@<;^YQ zP`ZvgInwzbuS6%;L8(i^Twmx(b&pn;@@Ssb+N5*nM`jKnUN~gozc^>7;9JMFb><(` z2o!ag?9~i^qtyT%vxf_?S&65~s@|m}IS6ldm}FbTnW?ueyb|sth@4@!D*$6fz#cTo zAotTqy+>hZ?fT%~rqtp3oM0`(dr>qfF?a^S)!}z(LU%*Jnny{67Pz*}>a3BYK(l+N z`|P%fyq?*4W%6yWThPV|QG^pStUG%Om-0mM4_~(+Q6}>J&Uy;EA-d^h*KE+i9vO9> z$x5yJ#3GP8cjv$!8Wt*V2#Mn0#%UX!OGyn%fpi}r($v+Ys6d||q&Ki^bl)Bh$1ma7vO6VXlf$2pL;k@<2|ec@-E6d>2`vb0BXwsUX9F#RKC+U<2 z73Iv{MZMGMdO8L#C8>2I4@kWPt9{9M38dJ2i0_Ek(8IubYy-{V*3mR_L zvAt(6GLkN(F$>+(^oMTh)p}Qts68RXcSqcROPh-hDMYV{RfBQ_{3KaJ7D?>!t||NC zLW;GYcGx1%F`R&Tgy$Y)1t`~%v90Y2$Rkp>*XAFE|6g`F_fQ@*MhynoGp6L@YuocF z^MStu^gBJqj0>Vx{qzs6G|Tc%-nc_4)<+M`>L?aEo`L%^;u@*RX=#dkcQ$;oRfvJn zE69@Y^hMRCtdI``r>2Gw3NK)=()#}X3Lcg;W}0MKI7lcDX`MYfJ`S9%oCx^&CL*6U z+~Utfc<0zRkVO%Qfli?V-nQpx_{o`QY(_0vNv}jiR+c+7>b>XaIic1@H5H4p9aOUH z*?Cnu-v4Iqpq3iyBbRWe)$M!oFjL0q&tUmR)9=qBQxXMp0}g6CRZWyEjOKs(_dl~k zw~y7`s?icd4S?P&et*rHT9>NrlQxFOp0|~2X&Z-=T$YteuZ5L)h#5=(!~Vf{TDP6F zy&Og~zt>px`zmmrgw|In!>?J-uS@~Yot)UUxC~lX2p^|y)C=cu%>3RM! zZ(qIo6APwNK2-a)ATHj1fFMi?SG92@Jn!thOS|k~lG1@t`@O!95@H&~PWAr(ZG$n7 zODm4s-Cy`7x31?>ZqAJ8KmS!ThV1Z>f}baRJM_z1C9x;znOg#@PTC%^w1B`PslFbE z6Sn9Z87rtwQ%#~sMolfm>h$T+Smxa{Y@aoMy*(dyyx1Q01x)~p85giuY~!SV)VkE{nLOOz zNqLV&sjxh?vLfZP+U}>JRBfKt3Iac()<s7Y!$#cp zK)1o(kE!|Me{YhmsvG_QRfhy0c}gvX7-)l}Hx z_@0G5wm9u3P{%FNtiBKQIVLS8iP5E5OQG=ok&{{Ho!Y{C+-$93@~XD%aR7C+G8JBs zzHA0lZsrDJyQ>rlcl};FAB}AQosu^&<|r(i5m83j;eE%Dj*l z;R+k=R*0rD#D`;7gbs*M4@Fls*(8zg<<@-+L1N{qM2@42{qZ2=A6+@3ZO=K7qa9Fu zi2_aaTFG!?3(2Tgm#mWC^qR^k-Lwt~-pe-=h|v55ve3QooX{`nC??k?Y5C%=0zL)f zzcz&oj|uSQiOwwO3Mn8|?BPR`WeRhqX(_50 zs*P{3{k1OcM-SDGT!UBqYcr%=m@g+1>X>XHq209&`sWRbsC4IvBN9MUmFwlpFMy@N zI$B@$PU0Ixv_Q8$ zt#fvu%>0e^@ITNbH?7bD(E9CN;4mrJd_g&U)(!Sv>+7H1mW(}T6qVI)p|-2PiDWXI zvBEEiXDNy@LU-6?&kh~`2c=emIaa%Ct*3+o4CrS}X|42!Z-vRpWKakWwRv@v* z45YYeOF7AtwOLMOeY<{XmqU>gA~x;1XW;<19%)R`WxzZ#4|HY`a43+pebK03VztW; zXxG@WwCdWuWlC+C2j(ISw8HXM4q{s-*H@yo8<5D%^%lzKjd;#J8s*lv^#4e>|8_Yc z7`+@-$sH4@){B3i3uR?7(oPp+OmDEbCl2Y-fR&!k$5Ew+&Xs#j!QMeM1BzYx2ju6! z0u7eJjfH?=UGtNq9hbcy=BAkN=HjC*@XE1~_aaju-G5^0UG7d>m^SzOzWx}g=fSLK_)o#U12p8B zhE!Y+19%G>?&Yg@HfR6NbaX$cBibWcQRgf0?Eb9zH}GtScB~7EGoi^5DI}(ufPocU zxneb8p>)oMoer3K?-(~~@0A@+RWd1UNlVf-<&(CS04jOxC77`yLnSTHtk9?xfi`LzgU>CpjVVHN6Ws$PxtD}u&L!e?Y)kg!82=N2c6flaL!4i^6r7cLM9;PY2@MY6d<^} z4bL^Cb(%donV#^mdC7}-h#Jc_V>PY5A-+H3t~XlzwRq%&WsO0fb*pilUG=)kh`I27 zi~V_P&EY-{2&G!t&*>=eYO*sLA(fzDQ|oL zNE)DQR0^L(84V2&(+kbWQ@w|T#dlfq4G>`F6L;pN#^L{R8cbkoIA8RPP1|z5i4jCa z0jy$|d3%`>t=fk|yA@xWAL&I@t|rH~RJC_NSgg&ye-yPm(h1ZD7y^k}6lTX_-I68_ z4+Y~WYvApCg;06*R+pe&6bv?gTeMNz);(O#EX}+E~ zEFZ6p;$k8L6_B-knB)^OfCrf-yNZBVp8(6qw5x6pyDF(9yM`@ObExv{hXVKm?|rC# z`BzfH=tUIfi8@#BHlr$IZ4OmZd#*ifJc6KN%=J8|=;2A_>+vMe4$FNAYeV{xc&% zI^}%fF>zRDt?}*zM;|#3fZ}1KB6iWS=F+tmDzt9v z+7_`c!`rO$?+#W@C^xuxJ&M!Suz9@(e7uf>U*#Oga`qQfonMk>ChyWPrJ(G(JMCXT z*fx-uuslG|-|U@JnmP%r5VH9t(O}W+TSitq?(~@E{lJ5|7A%zjtk=N%yu8M4W71ML z+y&}re;Bm-bi({8fo1Ko<>*Y>l$3XcwVPxmaV*l9iWM@x4fF{``^z6Z)68ctlfi## zO-@^(2&9Sulpd7$&L3q8NleJe373Ap!a~!yY`GRC> zW4`6@-F0jed1Nq4YDBd&P_hK;HEj?=2_D>vwJ4z%hGj1KJCW(T^X{~{U-N)M;Z?2z z5ZwVtg}m1l2U^QhYix$d<4hYB5nb3TUv|{>;h=TGu-H{!{x*i84n(n@MC9#RbQ>G> zQ*J3t8FXSwduF|U^n@bhrJdJkBj4)Mp-&5`z@aS{GRhKshds~?*AMsGo;j+IMF`VS zM2xOHcVh_u*kSuc0|iX;F!4#MMFBNfCr@)#L9Dl!WIeaVdD0zW()gyjVqb*i-OLpx zz7oU-APBAYl^}#oE=jXG8OLLisU(!nLSQgPOd!?VKG^dHSsF0cI&!Tu)^WYv1q<{a zI6@3gQB`${48i{t-VMQ;FeVQ6$N1Vq!e35?=j-9B;%T;01G|W75;2o%_Pws!eGB|7 z5zI1|^Z{;fmZqJ{iu3TV_4^UGnmMXyHFJA(xBd(K$P#QOosrMq`5bK$|0J@TaoIu` zqi1kk{9R<)4X$+S27KIm8z?q^(?a9Qq#2v_aYg5aRqwdnz7~n>j%h(BhWc1tvV8 zH0axCB3BQKPz#h3IoH~q@&@gN=_(WKr;+!OdXuK5BzIlIn&5mR+C2^lb;|on=#EM#Ohws~rCRw*EJfjAHxo>-tDf z$M1Q739nJS=Z&@-)kx=iH{w=5yw&o0Pg7(P!~N*n1#itB#OskP{J zo8NhxtAT(|?V@uc?x5~8>On_{{SzvI!&h0b2P>Fvf?89QDssEgcI&d& zpe-V`x|m6u%}{3ipg@afLV$elgaXnYdS)PToU=bk`Y^Gd6+a-t^9)Z-#DPJ3{1XxQtr2pNa+iGV;VAg2sIMZ36Off^*mY0h~#=rFs?H6Z`!}c3fTtM^bz}~TamTP zl=L8BWu$%CNIm*xyKfes!K<=fAG54wQa8W3%9l1hR1qFNSnp+UoF@Wcwq1G``of^F zqejULcBk;Od@tc>#bt%V8V2O=QpC&2$FwcV@5!++n}3%(cvP0iH8-EnOSOkP33W5f zBazy(XSti9?^ib)?s#acH^1m+Y_L#|JURE{^Cpf(0sGG3#}57a;(TA(c6D_%xZYt# zNN9$VOqf(eUR8e#);Ew|jsO9|*A)|7;ryk&lJj3_FT&peGP8Ud?ICzwkjECWGYJ43 zKa!KtP{3oH*JWT|uVw$ohCR;+J-R{6vi2!3n+8<882iMQJla{nWy&1}^_JC46@Bgd z$$t(?$fG(-ln6GhV`s8BR_(r^Z6PG1#Eiw!@_^o+e6Sdd`t-`rLqXpJh;Czz5I}(v z?d+b*>hwQYowVL5&hi5F&H`gLZyUd9pUNS+FlAfU+Es!l&mF1hvfFOJTp|rKvVnqi zEL>^fc($pUxcc7h`5jJ5#f$1zl7|iC#U642s@lg;28i0F3nvy(d4*hyXZ#_CPVtBGS z4Afiu^FM$M1Y)j$3My-(&ZZ~-Ri(a*pviWZf0pA(%_j@rkP@u&Zo@Q>Un!o*V9M0! zOAHXX?KsycrB>)Yt6M0|^Y?e{pdDGDY&mOqB62Bt(D_s+Y~jzF1Lk~#>8~HqVb8I- zBAyK4zUvj7k6^Lq-0zA?+IVPYz%d{Cg!Pva5y%kw>PApT3C}-K+H~7&{b2Z7eDrue zP^9unaU#bes(E&Rm|^|;3DKqWQMM6JWnX(;fhEDD2*; z1$g2u6K-$w5e*O5Y#BZqk=->};*^O!4sMs_5jEr4OuGRN?+T$CVY;6_tNedTcwNs% z31O>+7oMr})sK8}ReyA!j$sPizw?6}!T2fjFvsq8gSC%jZ|+frvoKK1n1L?8hoOD~ zD%(K+!x3GM*k4_`Eo?>Ago1C4AXhp9RbK{rnW=Usf7Mz zAWbt&a8cVanbEvOs4(<3gikZlCWqR1jMI3hjp!H6;b)Bx)-q+6xpa9Lmdy(}_#zWp z4-dikwuw#l_@l?9#q*vqa^gD#nA=f8`=MY9z`OYbP$J= zZNR`P(fK<@qnp4eD$KiLlVA zt%zR?ZwQI!Lm{!FCqGxTDEyAm1(dMO3`pmLnTC{^yQH}io>cC?W*KvfQi&M(06I4y z3yBr}A%5_J&qFm?si4`>4VYAtM1*ED_D?dEb^Gj(`go5+Jq73>Yg&Qh9kIkWl7@wG zwX0?cKbfOC!HNMTt)!%+*B8K19F)yq0s^uWc?+-83(wnn>m5-u8kH-?vQCx4K+v@Y z`q>rtqC`yu9qvWN{t{mLVwScho4= zif@5hyxOgsv-y#f^lQ=cAaZ;A@93g?NdI@ejk`Uy50v=~Z=ajj&Sol}y*QYKQ=pJr zed+I?m+#rsb7-0N`-MTSzzJPZq7F`M^U30#`XEi`&k{ie4 zMgFCJr(eZ!XiFz2?XbU{vz}Kzs~krr7t&sd*uDC{=7YP_NBAf^X=K*j&@HTXn zPQ%LExY)j%s8B1YiH>@QCbxIB{^ROa6cpR)8XBPELaDHa@OT^3MI04#(z~kPu0_MB zJ0ISAMKP`-NGZu)pRlIZ;p&)@3>Ifwp-2}sfuzUaGKcL(DUm$tB!Z0<73%%4VTJv# z{d1J!AJUz%%DbpKK|=PO?t71B-l7xP5qSat<|n?WjPu5Rg%{&NrGqHDn7gK|}|_(#f1|IG=!l-Jr*ubw`^YAx0 zTz^c%yW6&u!0DgixMMpxm1E#MH)~sR{iN#C4cHfC{C4FOA({k*HZBcnA?*qkc zf;{+3#qkH{^b(FBWdO`lh+c2Hh$pfw(9jT?l=NhGsf`-sD99Zk3kEN{jp#;t^#1!9 z(>><+XS%Rg@s=%rmMDZ4Dp)^H9-QN2plX$pfcg*Ijwp&Jo_DcyNp{f|q=iG+a7W=m z(JfPbYWLE}JMB+kZC;G4Pel5?p>*4lTQ;gklXddgTMurZe^>$Un!e`%@4fAfEUXncM-z~<7ck(~x50LW#;irSs>7<|e5ZpRIdbGqx8-Nc4ydh|<^j5DZpR@qQ z_K5co@IumZh~`NgGyt|0*XIYl;6~VQ=Or4R?=P?q`4||WN<3EJ{~_?ri4*-}eZecD ziNiR&kqD=mfwck&$0xi8LbznjuB4=-$jJbh1b~Jx$hg;fzpaf39dv;!l8}%`MOR3aLS<4i9Id18n!?Klh(9i;bT z&k332!23XYN1PFf`P!|?yo7zg4PEccQa8(C=fwlB7mKaqy2(Z0UTC7c>3m+wYPWN( zP}glLID?gml>?>#*f{wwqYr^+ZDTe+t5avRaheqIA&fNb{uiw8UIy2i>}mq{_jcFG zoTDOa$Rdp+MVO$$m#scbyhAl0Vj92YzEreDUuKACk-`1vs0tO$uq6sFMei-4K z+q~Fnp!;p&CfwVvlj9Vp=Q3jg#2Z;E8ydD8VgQ6$iAXT!Ho6?~d{B0K?m2m$$?vQy zg0kz>v@5c*;f@ZpY{m|7n*g`qXxiu-jiPEvSsB{LYo!4@ue2zdLHuH0#=hB?nvVZ- z8;C>13($n!9=jbl`rVnoC>q4+wTTvy@z)l+FAPUtJC`8~`HJ9_HI(UFVb}R~zS^k0 z^EW6P-@(lAK0^fxN}oX>^DLIKdiSd&g?vW|1{5Nci3-JgItrwzF(_slP?)suF3RDZ zDJsj!8Z=1son>U!&xyt7?W$rA=g+<$!D$@KvVsX2UT&W~UXE?(->2s0d5!A2<^diK zH!Kaq2Pd%8+pdH=AxS=}UxX`<(n4E1Ubg2p+iTrPQR1@CJ;T^@X-3)$)XxzLFb-~1 zIi?32gz7fC81PdVIy)2FQ#6~-6qt`FJ>kXu)Di!dv+$Z_{QiYs!I0vB3+5Nphd~{J zKZ^}0esR$lHtM+S4}vSER}M?fFNxZBBpEn+^*i=N24+koZBv4x)9ryK90dqTHFMTL z5(M*L%MbANapx<`ojM6BV$ZYPUw60H$YhB$ z90<4}XGYBNIyPf;vN|Il%7UD@;gUuKtOJle^ld?+Mb}ilQPyY5d<9M+1e_;Ak1fh54JCYQ&GYc&!m7nN#Pc(_Qg0n9Dnq`w_r~TSyP9W!n?Fq{_;M zQaU>e|AL2Be*OLETd9fxnvUbrEF6~^d8P1HpP=~B95-M?GqM)-`Q_esjDpW4X}L*l z&6sweVQkNsQ`2~T9t5|vW7rtXV47R?y!Bc7l_{CEtW$tOL1)BxVaDT-S+Zaw#Mm8e zvKKJv{rgZp%Ah*44;c8K{L~F=<+|?3GhtWFr+zjci>u_lSMn<6lRC*VP$|Go-gFQE zF1+WOq8S-|+Q8iN_nr%7#q)}|l^Y$YbSbx9#JW4TEfZz+kS;RkFIBJf{p+LSz7gNB z8qQ+ZPoLOObkdTJaWM90pfSM!){2NZ;kH&hotJwoU@c~>D^+hC~) zt_{?UdWapK;(c49HlU!L5~rl@Ry}g@+N?v|N=~3id!f}gK%*CGBniClEI1#92S6~4OmQu7(N^vYS)D7Uf&ku>|T1W{x$d*A#|0?8M$ ztKv+s_{-1RtHy2a>HE*ihg)(2{UhIWQYH>=*xe$aM&Qk9Kul@d&zK|{94taW@}P@p z;@tZF6G0z=pyO!No9CwVuo_0p9fO>?9El z`%Ul)+a*z=hxb_7*jBJI2NcK*KkAcoRc-!)v^|2(`i~-11$K>f=M12VkkW zlj@3mFT9qAmr#Vgx=#Zhk((djFNgS|xg9US(`dxL9Q0xyDtJArw`pu6O}S!R!pcP(nn$mRWa3DzR{R*QIBF?{fa}^Z+x282%x%A8X3_wnwJJsbjZ~ifsNBg`3?x=^UANfAnU$G{~ zVBkMuCUecj~VPPx=h{l9;{gb?kxyEL*{}s6hiwkbS*;xz+*c{@xxm|~dBH_M$(sf`7RDsT zV3#wVpd?3a7GtpIp;M)}7k)b2=#+ovAyT7diHa4NIBU@Ko$g}u=B?TGpz5Gku04g2 zDU*awqfWYC9)_3Gx}2F@!!SiYMvZy0p}9FA3g9-o>;YZ09=7`V01?l#Kf&9ZpQO_oeL-2o4gjrpC?jbzJ^>QUzs z-Cy&V_7uur-EC}uF)nEPVS}C~*`xbdosS`UqY`R&@1FS!b>7rUsUJ`-QN7Ta+{Qts zT*iXLktjEaL=@jklXem1SuO2rYD~S`>h>Y;h>OTxy~qzbqDSuG1fu>0R(rJn&UMm= zK-$P{SEMTnvJfZ6L$5A|i-`qG->~XM$|x-=(_z`;)wxw0N>WST@V4UH_C_4yxSa?j z&NmRaR`iA}WB})3J3~76oy>?jMSk~P z!{IpW20OZ~JUF8_!oC?*Ig8?R%{-*rHz{uSrjpZN<;PALSr<{?Zc zF>;|rG=F$px8JPXIi+(SF#MugF@KD~u9M;Yn_cQj6uUol@9RSbm;_1k*zM79o-M`G z)NM}lbcP7J{*$VQ6!r=fMxbe-Q`Jt`E3Uz^kjJ{%)n@Xx?GbeIQcx%Tq{ndw(R7^x z16<{Kr*TC98|rjSKcU!NXePzPqk0XT!2q17dd8_ttI5dZXN!xZd^9`M?{>&RPA;Uz zO1X|nYQed|XDWU26SQ8LQS)~={FeyBb^9e40D=ewK2EA_Nv3)RgOfdgmjV}fHZVNn z^5t1hwmS75Tcf-9*Av=yIwjS|y%~g|P%jy3RSZ(2w!%sMi>b(9FGcD^7XCGt`kkUI z;?VCdiv9jRuKiKx0iI8P`9tgroB0UKBQjho<(z!yr!*mAzcf~#yFG11^NmVe(FbuH zr4BXuYJKpU@mF?94Z8&O67*B3^@Rfy+6=CmT*q6I3j;l%D7zCbg)iFA)yGTsJBDVM z+m!(Yv(!z8iR%6GEN3!x`mp?itGC5hE(zfjexh2S3fJ8ziXtdeX!_Sn- zg3HK~?hkT9f7*_|wJXt$*YwoP;5ZKquJd54PT#mYL@1uCc6eQ;^=~-Xhyl6o^USrl zZKCy8jkXt30ThXg*Hudn-~P~8{i~!t^K?uTa}S|Yd)+?_(Qm$Vbd-7~M)6n5{6~mm z3@a%~8BKWzGCHD;e!SgHWW$#hZ+H0)v zb3%6$D+*MyOh0(!){?`?2wo<=nC4M#(N>5`WS;yNiB(5 z^}H7fWzB>+mV6Gfxh{J-43P_Afcaa}r?m~m%N6W@;uJ4bbC9m(F^i3kKj|CAlG8i{ z`WRVrdrjW>()eX5-U=k~H5EZp*5xe@GdI58M|$ZD$=8Qi<0V zY}@VKaQ~ap-#Ww$Pa(d88@67QkUe@UhHqrzvbE3xJu+nI(mf^e6T7llZp*-Kfw>nz z?;kLfwNn4AgD(0KC9Xh^*xXPwR>(-|3p(>pl(d8MML7#~9fz#@P1AeZOny;yJPUpZ zj^O*BAwi)|6146jd&~cisjq;Fa{J*f;SVR#-X=W=N=S6y`k@W7KxHW7J z#&xEXJa3vU_Z{%bPW?ow7Zw@w_%^XqMdP{vi=+#V#H>4==hoE9Dv%$2v0tBBI5u2( z=leYgsgJM6zSf_jGvDk?RI80&aLO`&@zKd>dqpT*tg^O%R08nyVI7=6jW@h=G~!fu zm-$0wb92<=+{LWc!Ls633%AlU;l3Paqiy4>g35O>@94fCa3ch7cN>M@dZ<+}H-3XE z=JL}4m{J3FYZU5aiM(@ZLwNSmg)16$0 z#G-Asy3Ltu3_)Ja)W;zeGA)nYZZGtP|2(3*S5{LChGs_ky{=;c+2U(zDTB?AyRF{M zNV&>?<+f9|%_ic7?^-djWe`%GNX&+S5Di6YNzoqLMtaOS97;dhsY>#gPXOxB>!>>M zSXV=`TlbuUB<*%APEwbh9gkwEkll}$9)`_SADymOiR7ijM)wMXz7CD?%~tHU?|nU{ zT`VNX({uzG&@9&DNc0hg?!@ZgL>A~7QVmu=5&o2V0Bv9akXiAVfKwxy2b}NU$wPiT z;2pf>i{ROxaf|k0MOVh7asR*%23n{%Htr`A71?-TGgS|QhA)rrEvOygSXKSKP_CzK4X@||h_vA6>FDhg?I)W5R|8(87Oe2VMfBOoT7o8ZlxGd)9C&?ns zr)u{L?Vff!#zmXH<&)KjA0RtSlQ!$p@XH49^!#~HYPFn00|H733Df$G>bUi-Qu748 zpvkH+etj#d6}i!{L2HM2-7D%R%|3Z4t_9BK6Ta&J<-{sUO`IACv0$2(#B8W>*=n1h z*%xw(BpfsPWl&1ejs?DBvOLBct))U&GLkUbkgCCSPgb^y=}+@C`7s|C4@c!R48ZgR zkPkroxX!cU2p8A`x@B~9w9)_7+bOyf2lP%ow!PLgKEJgalSzEGlH_cWnk0A4udf3C z^250|8Jtw5lB%@@Hjw(DjAibvPDj%&-mj51ja_HDNiB*jEOlUC5=)6dz%wN$yW_TT z;Ri{9ZnBeqmnLH7WqstWrbthAcs8|ka*HIGl=llk z>gfA!+gajZGm4;5@ke#j9!>_UTbi*y$T)3UjTj@eTlpePA-Y@M1mjK0E1+(~Qp&Tb z*p-mo>DlOh$^9_iMO%hJDia5sVer_fv76Q-pweQ0AX<6=Xa{jnlF^^INP{`r`uoYj zF{Y=dH=PDu?K5a5Xb}LY{JL&74BJ5S>-by)aT~gP*I5`7boKL}4~v?{Xc&Olsb2>v zglB$~4lp^N^wQSqaieX*bWGy!dZvt_9Xt$&q6AV~`Y}`fkUME;AsHE2x#;zSUc9B5 z<|o(7Hd@cx17Wc*u{T^C`oDERpvZS#{%EPEzw^tpQHBQxbhsa1Y|Wh-dCNnnF6|!W zU>oai+}xbIiAnfgGbDcd`3T1)d(fEd?)+@fj6AP7+VcNB1I9!1K(EC-?~Uj{#2u9Q z7kmHO4Xu?F7f{YLe9{XqOzJVseY7Iv^YU1AidZxII@w>mfS@rIS_ zZQpHS53F&gAxD5!d~1hqumq-^`1hF^7QhgOb!7K>U5h#r(bK2?)$6mD7dN4)j(1hQ zYxSspbIgVAbc(H7`Tv9}N;Q*-w1K00G+4KQ+-o@IZOi&MS7w=u3UizciFDXsid^z% z;`lEV1U;3W44u_Ub2M(sJcgXHm`BuYtBTZaiYE+*4Z&FoWX&O%seRlDdmnZi$l!=w z=!>tCxLSD|(F;%EBAEW~QnYv@TiuS}FAJsy^NMiof_o#+E0EBv5<{U|5x2m)22_}h z`Jj149i`ui+kdB{H!F2ED`b-#7eaEXwB!P48LKErXTT8GyHX`MOi-!_!CU518+NJ# zrx>t%ZVfX(q;f|{z>qfU#K5barU2Spz>s8ScIjoF>TgchQ6-sqG69*J+4fU3*I1?A zVCtNRv`)#4ir*^%LZ9Y2C`-Xi-07P)vwqpf5QQxar7E&`@J8`$A#L&KYXR0m93BpV zBk${v0BPkk0RBYqp_n0yLYg* zq0Vo+Ab5kac;&waETqY#m_|}9J!rSyMpWE^R$_cH$-qD9;`0& z_a)0NSLXk6E^uEG&HS~>5;b)EtyfPU5H9k=te(v*UZ=tp!8AHp(OIjgXTkm2r{5Dt z&qpZmz2oRJKF%Tn<4~ngMYs#h=%K1K6ZTr%xGQcZZA_ZUCBAavUP$|EB!R!9QYybR zp5V<)Xg=J7Lm_oF-@3jw!xqMB4kF>RjmsK8`bEb;J92cuMAsq=HWufQJh|TR!u)Eb z9DX<@s}eQAM2oKkfGb?5U)Nd9!(mw9gPI^nkR$K@z$3vfo}i+zbZNPuxg-ecOK1pO zDsJ(@D9fa7%Xhqpuu#ZLa6U=iSd~%a2p5S(P5^n>CRt#gl8@yQg*UVd@Noe0rKq

7?wIZvflT$7{h0Vgu{DkVOdYYk$rOfN6jqw*@XnZWzAQW23CHa_zEUm z17w)s!q~IRnT<@Z|g5&qO88(54Qz(8f|^$Hz}ardwPCh^|osI_LSU!+{P zclmOYn*VQ?mHTDzP&;cq&E1^W=sL8fJu3YQypRs~X3RdX!eYYG>SPeqMQLer;q{$o zyWQhhqM3lb>&_bIM8;1o+lTBwUmp|tNjSB4?J*q>Rj1sBnPe5YBh~D^#RqHzYMAO$ zD4&h*CIsq)uzi1;J|9mQ&UJk2^XRi3qxN*pzR(Y#$5V^7^zoUj>Adw6v`T=47XBfB zMbSvR2&4zYr8pM2x~;pLgkpbGdXs7;8zfX32EQPkvW^G>Az+|U5SS%aTyTR|ISXC< z+VV78>z++=pJI{}o?q5;v|6k_04xxX9+c=fZ--#+XtU<% zvB_Co_dN(n^WHOF=*JI%GA_5xLnN}^GevE(OJCI)Gg0FV;)|V2T!`n!l&?uk%sm0Cq4JRIvG6k?+5&>PVi6ox&fZW$o}A$Pe*-< zSbe3x7=37@E5z8TYb&ion%g*APBx3=TpQI=3*_n8^@);I zk$yz_AL(QCxA;LdsQ`j600M0{VqG2lL#!4nx$x5m_yPe;2F@{fO_XzcU?`+ykqi{9 zXr=`y20-L;nuw;eBA+wlr6j@?%EO&?j!ioeUyyA{)B5T%LIn+3FvnGy$1+;nk_o7d zO8;bG{6J(28IBcWj&WJetP@zb!KD`b;_I41>zQJ3Wh!#P>yb=w_0Jbq2U&T5d3QVs zkIMAEXL9toZJpHXmB&k6__-x}naAXSnSK;Zefz(qN1C?!M+<7lul;~Fs>PdgF6b7~ z%}i`@$&Y+2SiOXKhpAv|(yUv8{7#I)#WD=dM^QVs3u)XKZ#f^)px(MMa)yJK;!k#Y zQ|IUGvG^I%NbRWl&al4p&6)#!_Ucd5`r*oY%n|4V??w+lp&p zKk~ANMLM1BA;f#}1+s+T-8{Lj)qe+?MSBYUMYH3MF1zQN5&hP-GVs|+#Rq@APmW=(!z1@{# zGFkSW2XT z8HEQLgc8)}MBi+QkDU)&t-603Jpq|$X)^k&_g8GebCJ}PV%uViFMkpiK*tO=hJmNe zFr`C{v=av{9+;Q0bBKm;13{D5jwf<-;ln|x9>1OBXTq_9EvkmW)AQ1E&X}Vut&`-T z#r2I6qTh(WbwjQKdAMbMi3vQ05x35d#k-d`upq!LjV%2V*+6Bm1oM6{7m2d8JfcM< zEW>_Gj@C+Q)pYzqJ;?L3`eo$wgqW!F}?^EyZC6m=ORaMl{a=h{wBA51EB2zle)+>k7ashrV4;Xi3P}Ho|x){Emt4Y zVGM+mKp_B)QzbZzI7{vXpp8(8X2Ggew`ZGN7us-T(P}za1|Hl|fc`KuH!$)e2~4#$ zvQ*!$&`a=iSU*Xle_o#b4PuV3%PK8m_7zgkw^+ZKIb*>bwhv1lR|xi4WnY=IvXe)} z6)~E*3p2`jQy;@KO$1q_dU5UTeWxyhTZ#SGc#-om&BQ|;b&Cd{I35N#s`k6n z*iCz?J|_X298V*Z?X$k5CmN*?X~B@IQjp_fs|2bkbv|y^BIXSBu3}k>XbXmGIR`PF ze%1*`ros}7)GM~5Z+jk)Hh)1RyiMgIA3z-lKTOru+bWKKo6jgFLiUQLd$i0Dtd!%s z&Qn}<@J8s`GvTE4rssnd6@{^$NxiKSZW0cKyvR75yN&^>@6Z^{BYq8d3)fNP+|5&G zwu<)F%@8M(+S|%#Zg1qrIA2T9XU#exSE?z3+g7F%0-w|W5c9(J{$|a_$%JzlmW4UT zuIv;0O4w@)FDh*BIt?KY1#Y^vYkmYe9hf~KXxLT5>dv3hdJlZM7J_)sky@9M@B&;e9?f?GS^>W~Wi+4&vQ| zh&Fu6Zx_Sa2+Zrx?HRV7JX&;FyLO9PP3$gDvV{H+K4$?zVO6Z0RYAX^`UE$-kn|(3 ztkO5~jO1YM`pEUZ?}-{;ZDnPkC^=2o(xv)Wz8k2Z6GKv0DdFh%+rO}y1}m%f0Ueeu z;FAB>WdSV!sDR)rfLySZ)oH|37`5N)z+0h>&xv4BJ^oCn?csW-g}7i#upx6&f|Q>$ zrC{qWYsAob9&5Lo1^S={kr>biS$C!W40TrhIMnhmidoeI#=$x zx`ht3*;@&Z^XFMYp5idB)*W4NO5k0fGV$gQBYAh&Yb)##kBVRS*{{b@=8dHC~r5TmNP0>wQw{d6XyrRQu|>+Vil)uW_MD+Huxp*Dcu z3O%FSe+DiSZFJ+WrB5&`_Ah$XU?wA12IN11;zAZXCLy06cyl^p_zvW|W`-6C!OGnnGl0o!GTUwo6mITNnTzw)b zVgh;RDNGOBrcA)O(wBC;TtMf(6Yf?0`oZ%#B6`hrv&&@fDNEZ+Zvlt{VK%l5;*Gsb z!mFE?4a>#ZZMVf4V9GL?TqXMucykA*+>gY2R8AqU>EdI!3*q(;ierL|7jL!So#z9h9S-HSczL^_pXY_K_1H}J-zoJV)0sAicFk9D!FejGFb!>tP^iU-g zaONTJpZ6-UY74g>ZsDXN=hspN=}fL3v?m`dJ-thnIYV;1E{_LaN^|#lq zdVf|8!VLUo9t6{Hley?cfK0%DTMWnu$m@cA<%JuqWPVG|F?y%Rf1JHZ%|B#53LYLk zOGBNC_%UNgH;r8+XjsX5-wjRF)S8l9GlZt?w+Ky;lm_wPY;dFxP4dsCz-z^IN4Jso zq7KHsjlb)Mv``x&(<8_@r$-SBADnbawQ(gG3PTe%BSlbx^Ss~U6{4jy(4q-W`f?AF z1)l{g@i%Im2$hu3(Sip6Cb?O#U~ecxZlcR&TZr+H#yBIEnsC3^ zSi9wdqG(%KZoLEX@2f9{v#(sD9 z&+v1|70+eRkbNy4+Wia9UEP6Z|MZ&d$$08ZgyT;~^>_S=^2n*WpKh5pTX)S(lwUHf z??9~%CW%E3Gm@4TE;zoR>L(u{ATIJCgAAZ-;8O&Ioil}QXKsThtiuOav+RMz4vcd5 zb!+45H8ew)mB)16nak!ipU$0V<-IG;NGv_zv`+-ze-(pNMsTsr%cSw&z${_nFZXN} zYGAA7FB`pUR?_kjX?drx?+Rf~bSZc*cl7`W%JL_DXvuF#He=_+v=G9G^0la4geI-u zQnF8x-u)S@>wZg}Mv~@~CZkt2&u?IZf(W13*#|~Z?&l;QwxRN5xj3s&NqMxP_h8v@ zl0oSy1jtAmH1j~`^>ihLc4oAJF9zx2mRl41@{d|Z=E{S=Wk7mU>RBMSA@{jPe#KGh z$PH2zh<^3AIo>mEJ$$A_j3UVIzvWx^b+LUjLt^w65oj8Zm$lmVW)*1DlQ)(hF9j@b z8cW~XO2uNR*3t*-i9vKtmA4a;9yG>ChMs#9BrPejd|M+z@H=V@$5Se*ha^2MTIQH{ zk#zs~ZN#qLVY}avG)g%H9r^`I(M@Dx94bHhx{!>}p14@#zm%8R80}!bFcG?I`Suau zT>z|p%QJoYX;_itJM}JWKqwBXQBa_rSUx-kntNO!JgvWGtA|{}rN|AE;I?N)C|5CF zf!PZ8qAFHAGc+U(K=M)|$r3f-22!KtQu}>6xL3Usnjc!nQsM3}>MGD)BIMS2GD_HK zJy9=fP+l{1E_75Pf-3SW%dVV@OjDs4T`~Xj_P1kJ$x#JS{7ekIr62m>RFP9q)e+>d{SSD1wPf;N6HUqzBv)pb6G16SYr?dxD2Q$BWEG3t;k|H& z1%B3oP1{811WI!3{NrmEtv}|&j@$T4@C{5xfs_U8<-DDc@sz#5yv(zc(*~xag1Mvk z9n2cWH3)U`^w!nTbvE)z4k#Cq-`BVO#dd#i+dd$k1Uz$OSKw?{0lP1G6JY3poZ9Mg z;vWLfGD5QC8-Clj>xkS|uYuF0vja@OX1w|A(@GS8JC%76azFiOidGzCVh~2U52{I1 zrVjALaw&p3!O}&UBj(J*Ahy7<)%dc98Vx z^nq{d6=9VBdYIks&hExMo_KAE!ZHu=-;@NF}+h9(>9AChbHI()|f-4s9W=v^vS!MuXKL z6PL#mH{8bX+g4(n{Iu!rfjVJQgVpeZUwXH!A2-I_|8IE`J5CZCvr5r_e<9zkry@Yd zltNT5uEC64Kd=_KzToiTo)(YtP zgRhKYOvH6-f0rlL7zufxF8hZ-oB-G|m?duEl|gLXw1}XCS+vgw)jYD*2xf#9-=h~m z(bf6FHAgo-tPtq^_8dNL-|Q0i5()I!*nsjl0)o~v-(k3n^Gj$N{BGafwY0LQZ%W~g zPOr%KPieCdD}tzUT|RJB4catTvlHf3uAa(+k}L_&Fu%c89N(Btcjv2WE0(S!;1z^~ zvw1JdY(l=fdw%1#6M*{lI_wg-fWQ#Ia~AJciFpCvC$KnCeee7baj>Fr07R%=|oMi*R3m-U+>m_8};;5I4E8mK-4J01_2 z6>eNxs;;{zqoggLSq^Q4HvU+%KO|FyF$_TWfMW)J1Hba@Ivt3LePYKb!<&lB@h<0| zR_oAWr*ZUpD#JV#E_|s@py8;X!M6tSj7-s0+^y{Sx(#XImZ*g9FX&@R2 zG$@junJ3Yp(Zk*>s04YYuWke9GP87u&KzI>Sl#`i7aRTbyTa;7ybo<;=Pf|LU^9O} z_fRs%@+Yp#>4A_%h~Rl0mG`LvyHz%U@`>ME%Md)zJ_0n!pmPC2gr8cfy=OU!)Ry3t z0gj)6FTH_Q2xwIeRM!Ee24*=)w`G!)fqbx3`vz;Fd*JhuXTUj$5>8MUM5zOG!vAsG zterTI(m}FVkV5LgEucu1eyh};C$Qj0s2KSF^?d-;VUb1MUyB+;6VyK*4dTx(VxhvV z3M+!Aec3l={^5|6=Vt+=K*|2;c^^!ZtDH||ec&0qK2bXx zB@6%?!}~h=b`sqmU0uB2(oY@zNd4L7L+B>nat^x8;anXW@Z{9&!L|D_zCmM2@^4ro z-6+^qkrWUonr|ws6H1JDt!5)da)>d?8Y7OfzG-CnKEO8U9(p34T7T6(f%;k4XFA!c zDmfgKDllP5VceZ`lgSb-BilZn4?pWaoasgqd=5=d^F@nVTl`6L2+v6)9waoYbf0rr z=<=*qYN@t7{2FbYJxu2$1nm1Ua9 z%mnd+>W9=^L&#?{{9&^P2OK22!b!8PU~YP=gbP?Z4Gj%pp;l92&_T}0(a~ZhE(r+n z^v}FX8o|Fnj~D&Y{MjIHSMSB$uEL%6lf{Xk`<8uBne=F~KH>$_R#0PrijZ6xDCdAz z?a2>t!4fEn;C3yp;S(O~JFmq^*0rrS6HN z$wlp7cUUZ3+0%WWhUZkX6Qoa#6(dMhc?G5sP9|~|V(boyH^s@e*IQTaLKvz;y$~Fz zZ?!PtB_SIr#ezeN)+CP>`$4ol5((wYc77gEby_yte^%c6jml^%c^XTT4az^8Zp+98 zE){WG%T?`v-|@}jalF4QxKm?$OPaItz`?aCP+3V3+LPQ6*0YRA%qk*B{Z*8a*7O1_ zHmI*4`t0G8?4{};QEoC1|5l$Kc3d|+IHZ{GK1K4rnGVSZS#%5-Zz+xmo z+15>`2c|ZMkr(kS19#@hs~}-%ttCmKK++>V9Pq!2dVCu=NPx!anx`5PWhX9d{fPH9 z5cPrP16XIn!5@!$o^YUn6qz25g)O*FkrpFOzdIz?Dr^(8UK2UUR}U{BH$a|$LiNGg z9W_JZAd(xHX|IgU>K$3u@ruPN^Xd=#pWN7%k4*5qGMk^O!daUKXya<@XQ-{%0yd1py>L+itrJn3{3$Og&T8 z>^dFxgn0A;1{%isUDOmAHW(zJ9G_SHG~5|een+|HWD2!*n`E?2MMh)AwMqwvM`;MR z-sKGrAO=Y~h6ix1^4aEronu%W5YD3Bt5PXw!{RoNnlv z(n@vOOVUyIpaP(JD*23KAV8*c%F;FU0a&pr8rW14K}Kl6>NM}ox7!-%`p#WCDO`>67o3tu_q@jln-kkfnCizV`%;^#c=t6dPbRH#9ZHN<^`4N}#-B zsdhW7lDv+L=;}tM86*chkG?M$6)=@CGPKWVQT~j=*<-C~$8^4?dN8g_L#5D9#L;v{ zr4dG9>ES?Z;X89r?5J!r{ESmk#z+D`=4z;zQgv?c+fzAqkPQ{|Y83om70Hh@1Y*K? z0#Sk&rD@vTN`|@F5$^m|cPw1_&PzEzP>tI$WO#mCckI1D+z?!R1#nDpW-MV0tXnTX z20q8LXuLc;&{~sAdUu9voXf;rHjU;^$-l3b1Va##tvXyyty6TC~si?_2TD zR)Fq8bk=*pzS z&QbG-v|1yVF%rRh*@3l98nlKmjpSb*9p_-$EgNuWs_E1q@3)D~oEgQ(Nsgvn$kuD$hs<&cn zM1i-Ylr6f*arkygLv5j8F_Ws_E{o@qr#s$9@IHC$+nBW!Q*(1q*oP%XwOAm11Z-Ek zOhLp^?l1+zcG_$| zB=*HDARl?C{{_>SJbYGq0Gp>{{h8^(x+R|QsLeY1DHtT~AfGk8UWs8fa{LENXk;Gl zw6XhB?EYoI1@1D1)^7;8e|L#{`9|a=QT^hetJ5EefDY}WpVm_l@cB{y_}bp9ceKjdOqimT%e{NO&6$mB*8P3D;U33 z^?HkvBG@tq=lWtI8!wqOjVfK^X%;8h?U8}r_-nM|v`+Mqj|db4`658;&2!C@hQ3c0 zlzAD!P;-3OhF6f|d=P_udOAMuRk~B--lC0PUT|x2?%VDgcCaO04>t1{d010GrhpDV zgP@NNS!~abvDV1^0}}&?tiRCE4v2~Rcj=(Q-EcDg6zwhPAwTS}Kb}6+=@^;lWbRb( zhn?HSp`)M=qnI7Oe_sUZTz}1#dPQ3qAEsK#IbDU z@Jrw4fQ=mj=%4-emnWDZsXN3pm^$4O%5<_nG2LYux*3{Fz@e95)vn^|vJWA)0!NapL#DplM_g(jxk$kQ zoZ5N-egFeL_zDbk0Oemu5KV6gZpb*x_;PnwqwLT_qV_H9qgo{4)K1CoMje33h%#&4Wl4ydCxI}8Yj|{VbpM`(?^IAv zxceh@FV@asZ+es1it15fYM!qXv|ZYkVEfWP6*zB%z})~oMQ-kN7{nkyqgsy!_1Wrp zlWyA9+!$}(p4z1G{r!c6jayx94V>f&UB`bT{Esb5iL&3o{G2TL(}@%yeU9ioyRKrY zpS_T^!vlNfA(XDYGwr-8H|dh=ugWul%F{E9CwD2S_f{cl7fMMgLz{&4cL7 zOWkIa|4ninS3y9uT5vZV*DM6HTXT$0V9WR!&m=TIZ`4|C>{T`Tdo8e*_4h{!Qg*U@ z(x?9~zDrdSDj=#Gd=JvclHJBE)QHg(eO=(U4h4jwQwZ z)d}#EI~-djomBDSfmLOJ4F|+GNhg8KC{tqBZ-O6ihHQtmR z%^@5Lv0OlS3b5A(TN~l$Oo>AmYW3<}c2}4HrMkKyF!u6%pI9->Gl@HY@mUrHXak7{ znbpsOg(!0Fi*q*vodo4)vHld@X3(tzIQV{&!jmJIvBe)p3PsqU7Ob4848kZgz+Y^Y z>ld?Q8)OV0bo;aJnIGhz*&*I{QY@c@V-Wo)e08H4Ue(PM1mIZpaQ=>cv@ExNg1qJK zo5t3HCC~pw(R{TN|Kz)=iQ@d9#fa11eSC)%+Z=FmH$E_uW5ogaH&`38c%C(1h5G;v zqeCUPRbD*hBJsi?5*FvAO)>vCcjO`E_=w%|_fInEl+x*g1fnk>DpHh|6!6|0N%vzK zTDsuT8$Hzi=vUm8%X?y|V)w#c$N#Rw%Q!i>^{A**dRs|7Y}iJy;-Zup;!R+jNj(2^ z<0#fQnA)ti05_i!bJSqu5%g84u1JUZ=c@*V>X}lA3i@&RbJkZPNd3CIWp}opph*&n zSU*<-X--|H^&ao)-Pbk7;3Elow(@s3r&p*5W|lVN+|``L&Hue#h61OKa1gwsaa|NH z-^_e;`(af_%l|q9$eNV52%I_~Jk_RT}lVo}lye&_>dBa6AM`r@-38OPlp<^`0N zgubL&m~+URmJDCjqf)Ar)2yt}_o2|Lz?f!Xb}?t}m;}N!KT5q|z3(#7S{<4V+M)R~ zD$)k|K(IB1=t4VoH}trPK+CP)5KGzaL+@DJ6|j)6I<0)t>ZkDZa*ZRK|A@U^M)|-7 zR}7xt7ymZ%O$%GB^%lF>f8lS-+~0%^e385Q(A(cGlOlOM;WlZ8pmf~NSmp7fosX1A z2lk79$6xsRhaFz0&aPe9vD9^!zd0s#1X{i=a|AzPo$fW_0lpNd+e^C5fnP&^REn1S zBUpg?Cvwm6HgV=w*t(e|_sW#j*1gbfZ!egDO+{|5HnE{#KNs47f<5{&7|@2`hGD?-C+$BBgh<1j<$%tOM(Zc+oTS0a%Es=NXuu&SwG=* ze`!}IlEgdza{h~QJZ#TQrNHQ+P5g_^ywycv(N;YP1H>KDaCaq*fw2 zv?n%S=qX40v$ygP_|!o#{S^qy!x1Ok{o^j^IB$$o;FtMnAusPqojv8DMl@{9Md#A{gzW+_;-@DAMN}9{%>C8KhRni z5@|}`B+UYS!Tx>~{sW+4eEXG7vP$)OB_z~HiIFtPyOOXuk5p#&Cc@4hI|1W^vnrp3O}Bo4h>+|e za(iMPvQz4B*n16}LO}FlcU_M;P-f8nJz)uF1_g)y%gBj7cmJoMeLo=6$?v!Cb)}*G zdJa-){((dQohdCX1!EYP3&97An?UkT<>i*hpKk#`gkSO>Q#qvaJu2h`R~YO(dV#M&71MQ74> zHKoV7RC5KjmGnqmzI14X6Km)SvKC5f8i$Bj+~wqF!W(!=qG0>#6_7{*-5nS^1UDag zmrlRWAp!V35MbRf!wwvrBjgy~&)fvu1PCczv>3>NpzXdqs%69uolhp3pjJ*5Rqz$|qZsZpa5C(+_{^JOv3;p$}KwnDUo*#FmCU1P>QUegPTk)=3pyH^JczuJVy7!jQ9CZgm1 zOPs&*UtzCP2VpCsN^Bjh_l2FAQdSRqu<5!Ww`q7AeCh#10}$RM`A?KRAPf{2kutyo ziu*0X7(+r4?+j28or)hoF?&IckA!%z&u1er4G7zMJjE`53-}ce3^J-)W}7>F$e|~ z!hnk$%P|NfV69h9b!NDgV9_@S7c$6-fbwxyEJBTXefAqdtK0Jav%v5BfRjH5odQG` z?Z&WQnNaxptJB*hRw(LcW+>e zCrH^?=n8PhM9P;9;yL@>sN5jfMOj!4|8oC}^^VL&;fzb^FqP}z@IiURj(8(U?{1pa zCKGBGyj9&0^<%646!#=k89nT0WUA75U~T9PTmXYl@fJa98!`9fHo$fjT*aBe`vzd= zkrYZJ*zEfNKz>Y1fi#ocHEAhUG^Vqdt1^CTEiH}qJ8hy^S|;o!Igzl4BbZ`901NQ& zf#;AOIgWb#%V}6BsZd0Gj#$E`u+{wKy#GiRY-(=zZI*2wPPbe8D^__5Mn|s__XKr2 zfknG<)J)xJHfzbLbehFH6`hg1-Ia`BW{jkb*BKA87yngx*_5oW71!&x;2tkFmMwhO z-7r}Es&^gKqBu}!eYbUK;X%oGz3X+R;}L)Uy*!$Xh?w7RX5OZ{Vzj+pIS$7+sFSLJ zvH*Gua87Wtz_J7_Jr-bb1^myJr!U@baDn`AmBj^|?r3P!J;9me-N!Q1-}-dIXsW^9 z(`=#7y`YU03|j%KGT!@T5af`j&I30c(7OZeFo4v7JaPZz>|r~v(H%&{Ew6MSs%vZn zij-8l?boi~!;R0->;qCJ`$klwKo4cn2r=7Tx}5 z?k$#y4)n9JA&h~X@&Tp3cADfON27>J@t}=Bq+d@BvQ4{>VKqPi$C+7lY|wJ+XT0v4 z+zrQF^|eiz=iAN{nl|N6NtN?n>W8gw$maWXE9uhya$G2GRo*|hpXbCryY!}0@R2jW zG`6gSP+NB$N*yzRp02}rA$5;NmO?o#BwhS}=kIk1oFyP=r+p~*-9_}JHJsZnC4nJ! z2XVi5*!4TF5_1IQBYMu*6Nm(!*nXq*{1?9rPq@45=@ikzLN39}QgSTbSq~>Df$Q3m zhQhXugEgcTxixb`#K^JoH&JrdX0GN~AJvsZuCqRD_7m+>K)-?1NAOYrs%}6cKob1^ z;~P21AdOi$K^gEofp!)2VJm%KNFsdTVIL3+g<+qJ(APhUBq2vB$Avyi-}%q~9!~s@ zjg%^E*SsKX_ru81u%#Zv5A)IG89i+OMqDgroB?F;CES<5e!`?B?&G<1eQ0YzMyKbi zy@QVaF#55uoZGtBo)1;MEz9J!)Kh;`Vlhr;_DY(a&e?-`-&8JNja(;eYs#ehR?>!$ zC)kv!I)PSn6kwyCWCKffNo5I9%UUt^N{{}~a89C~a3*d6uCCLHD!C~RB-l{?>e2OtwE#)>CyfyXZOxurDo+~&ud_=h6%Zx4$I%|w8sCwu{ z9B7dkDZ?pqs&*6lSp_g1zcoV*!7~Bw7hMgounJ|E4wOv0*8@|PgUtpb)7VM5j7lRL z3_){!dVWFhZTkoVYCGM*&-)vPZ|EEczLEFOr*M%*v<ZZKGoj4SU@WNTQg24_$nX zao=?-tNs!szIbOgiMDqg`XCsF^%D@LuSAVk>YH0MX`a-1uB@xjZ~n?Yl@744n|=i1 z_F1~<-e!GS`ZmAQ1Xml*B-DhtTmf*X@{7#?9QjK*1>-4n#%JM&FwzTV`FEL0fpgkk zo!F+xRu?Rw&UuDEx65qldE>aHf*67+OO-!@?&$ye!cvc_E`(P!p{~85yahy5otCtkik6UPdW}^eF0| zOd8Y*pfjtR?(FUDZA^<4Q{l_b3zLxkX4D~pR^YbFC5tJ9$#vDLG9;435>L)or%*k`embH{~q$jonPA%u;HOt}aSxvzF`5odrwj$1nYEz{y(Q!T&ih zu|q7#(^(ZCz>6jj2sILVu3x0j^F1n;&u#GxVd|3#nuE#i=%jhmVG8DFt8YU?l*v&6C8oKCQ$2{fUT zz87>C=e8ZfWm1BQAaj%=HJ=|0v(O>>YlOcXYTh4k_a~HFND)z>sc3XcE!|@S$`GoXZpR z60(8DWdPQe7h{`AmlIAc7eDfd^6w?{)y3%f^fu0s89qznb?@c;`4-em-$b5Pg{fM!OixwJXg-Itc0CgNGiGw`~>4`LFaoGT&F zQOToPJ$8HKz}V?{%2EhiN^b+0OZVE3&@;E+-Qu!tWqLXf1XN(%)|D*+2b*+Am$2c( z+V}(=W@7<9pj+xHg@ZvoGx=bp%JY(jVc%qS{o2067i^=T;m$A8$W*A?0rDvTLh@hF z;d5&+l=5e~&?Ye{(oZ9+119$2Y-MnCB>j#>K_o$oxfhy(OBa=LFEiiMLtUY3rp!%v z+5b<_xV`TDkx^o5d}hx{0&;gtuK{^1WR-trT2TSXq{7pkwW#HUj`tD|Ar>)J90?%T zKjfMu#Oztt6T!h+8vR$MyDG>+T%)TDntg0BHdl?9J(PJhXdXtmJ3TKc-0%Ki z><+&CVaU=(W=#_izHYxer$&{8`bMf2Hl6`9cYbnZ@1+4ynLmIK;h{z#jxP!?- znd0@7-bX6v2Rk!u??BVn4+q^U)op^tN|8oZC-A#EO>>V?Yez7rC+Bd8^OWqtq=X8j zQua0F)gUDJ|F%o5u)2CG=&0gn_|YO6 z=Nr-c3NPtZl@_9JUdgol?4Z#IkZ=rUJjvh|kO^uW{RgUh|6AodXdk5cj<#OI zV7x2Q)F~*Y>hBdj18}RGHmyHx=%}LVU3nW|ZUeed%`mIA8MvD{=_53yb$bEuIsknz z@bx^sM*XLX`5a*OA)kQY>zT0#edP9C;Jf8g0|B2SJ4btKxiP?hG6Nlw1HhPpsVgCt z^hu^PMh7N{>NkBjJnO4T(EYri&sIUkW^doU38sO+@58EZwi|3QCSp{TpcEl1Ur+q} z%_ds<_cofs+;dJ%`=0JgGlTrAD_x8;Y>OSo;!I*P^KvW+Z~h3Xz?{|s`MPVl z7Lbv2yVVs$<`)b%GY`bh?g6vm!qDCg@B9AaZeLO#H0u;DJblB!R$f%Ve)-gBm~~$QTADCRY| zh-gzI-TzXmM~JInj_Xk4)2Xr7ugXH;`DfF}@KRXG(G&>wI&4XPFj(rJc5QeJwZYD? zd{{koFAFOcN7cIFtPkwn)*xml$k>1H`pgu^ZV-pc0+(Fp>x=(syAZX4#6lubJ38Aw zw7Yu+Ki&QKA4{05QK{@9OG2WoBc!qyvSm$3$~r>E z7IBxX+1He%BKuB=YJ`x9Df<#*vhT}S{?F0p`#-;PI-UDI_kHd=?|IMb^<1v&amgqv zFL1sM{?s)265gnJzmxu5r*B}Q{9rcOiG+8H1zY0ba~~^GgqwQ=bv;as56m#LS4u>Y zE;$^D*lr4KuUS}^K$)J9mp(!iI^^-MeW@T+Jlg6+D6L@Q0 zMb)P;2R-gy)GE!0iDI66pYtapq43Vgsp$>Rj9Uj4eCFdZg}_u7E8krhtAR7?vXebw z`+s{*fnEv9#?|zu1wW-lTV)!|cb++Pls0=xrC^@Oey4kyqjC0*c?Kc42p5>FhuVxg zRDfCZOqnr!Vgv%ev9XZrtl8%qg|b*PiN$}MGOk@$A3df{=3kIrj4i(T(JE&uNGEWE zf0cT)=a6KFS!WncYtv(I5o{|a4=}Kk61}6*i}83{XB^0JK};#2G3c2*VVHaOR{@89 zk->4p@9ru34RXKVGS_}Em|H1#(({PUD6BK2{3GU-uc*sYceC;C2>D1x`{(y@E5FTO zpv^!tyP~_Q&E^5&cuj7!)e_i~6uyy^^zFZ~op+Am#|%uGDVc0DCr>L7q?=Di+E8fy z@{640CyyL(>-Pcqso~{0hv@y^$+HVZ={ zOh*mXxcxH3y#FW|2XpzoP}H@&#%?-ZvF6saJs4X$0zZC@(n|qT+PA_)1`rHE6$ySu z=)TRm?r6ho4S+K+z64gsf3I6VU6r%{eaZS9tr%AxIGo7aFx*jC_XB6}pUB)cxh2kz z_w(KVK5CzBx<3mHk(MzQ;01#c0niIji5ywm zq;luAb%5X$J?3A0e#wD{l)TA2_@BZe80hP1TrN}Q^LiE%0e;~v=#M?1xmYxTXm@{Y zKM=IS5mCE!64aKY?F*UwL-Rt~4w?hw(!GWCV%PstT}53IjarkNEzRZ%kS{RfE=#WT z^XqcIu>D-m@s(CsE<@g#6SzY@bQN^G#3^k^4k&G3|IM7~6m6{#Y0D5s-iTzZ?cC$l z*$^%sR&QS_Rt7PFi6*<44W|L6@$YR?#p?aJ_ypW1=|#0Lb~hBw`-+sDtl2ki^FM4j_Cd)c?-Ul(;aH_SJ1x9g4iS_@X%Ijy$ zw|I_8z)xL3&bLN!TE%rkrNWe-WEPOIMRQ!bq^k4;!8A48*EP8 z0e&pZJHea^!dTc!M5r}u%PY%uf>sN_I>OJ>v?_l;fVvpym^8W`9c<%4|f z%7M$(#LTQ&NO?;G?h13Dppy|nkT3(HWDYQIc{mS1k9*$A+^L4C|6#sO_8^DU$h%JC zvl|iUBvzL8%0K;WsBcb3#8*6!cw~0P1%rj#zs~@wG1+g_Bzwhh{sS+aQlQ{}-Lx`rK+eE<4BfX!jTrN1vt7M;;6?`TV{H zPy$qSV!w;3sm>Cy)1*f=*PmRI0W`BdE2_N>7dsxO4Yu6x_Xg5)O~*c)W`48Hm0P&z zPUVb#crvo+ES|&}9CCS^lW|&_Vd6Zh%JTRiuJ8vh9ZTrgmDX~G^vu41IhNk0a75|A z+#Tsta&!P-zApIor?`=2-VNdE2|6=~q=vRyG6@fRIygjNiV5{F{57Zxm{QsrG^>fX z4Kio&LX|Ox+WbKLp_YmJNtj-p+Yo!JFn8^VBR-Sn833G+KRu^EQn#KOZ99tG_7x{N zH<7Cnai-q>CLOPWkK#E^LD)Xajqr*3J9)E;-zoHFd6eJ!79HXqVKy9isT(6#aEGaC zLUMgfpR<|ucyY)fkN;+0iGSf6e4;mtzI1SSL^|5|NHtC`4NZt{2tA5eVDAi>SberT zq4@sVx~_8E1{?F3<{z6cFT8a5J8TZgl;2SIooMMQg{$dZ7lmlW5tcQLmdlkBz6sXX zc}Bpe`_zv#_}UaNSaA2AB1P;Y5zTA7Blw4@QTB$>yD@S%4Con5I;6hPZNIoShzYg zxP&JUs|EnIE8ge`Fkb-kgNZ-2ic;j-jg1(1CsL_ zi>TkbGixo8hx3E}b{z7A;ytDVQ&@9fJadG{e}WSQ%HHFwqrJ-XgT6z31AD0wG^kC6 z(e{1HP33*|)_41pN>n_bGe^%Z0cg4C6G!(IzZv#_(hc-i^gvjU@}B4@RTs7YVqW0a zS>27+a-8VvC>Lze=*kjvH6`-`+N;kINWLgSYG}@~r_uF#MXUQ4`1T-bLQwvKAK!54 z0_wj*FS1xXV%oa>tr=OqEs@MKSqq40%4OMR9m;P93~?6h`P!j*dCA#ep9iU~FCMbJ zI^xgz>ybPc4DeuZ&zs0WI0Ik-7Ao=wOKB`Z@H2+e;PrDD%oGUdNwR(KAP#I&rBkJOt%@bfB5j zcQ^T{V~SinUk^{+xDuc>@lODRo|36Lthn29nUjLVM5W@g^SIKnA$nGO9@Qd(%>G z_5r$(gXo(l;MfMO5wE~XxNiOfaf|=Z6g@}Gzye!@=X$}#6vn2W3`Hv7WG%$?pJUrR z35wsAF61Cu)>C2fa2Nh0unz2px!fkC8a#zAhz!Dkbv*gB26wlUa7&9E%JfP&KHg(2 z_>Fvs`8?GeWiRQb(d$Ir4lxr66(uZhkX#h5)8RMmRuw~XB9nQKAHH~RiE}U}lkt0V@?62tM z5ia`4qe7IM@Z-VWH2w_A_AzI3kq1)mSGr+4&eXbe?xoFJJ`7eQ&Ro{O^Lb}71+TqYj`>Wq5N&RwwrJntC1cnz>Uo zSiTJ?hhYaYdX572BjgZK(C!uCp{RG)HRy~8sc6bhy%p-Dg};-M+bME(ppCEsrv`A? zRVvKBK#Ks&2H1-9Q4k7b5)lT*PrBUWHHlAj9xrG(VjU7Va9%o@PKFE5#5CAHa5tuT z%qt`31dHR9dAsF0F2cfKz^j2rF)2kQAa8O5Pv|47lyD#bJgIPK)&FXCf?Hq+HeOx$yHyyd5ubmdivEJrkJwaBW=^CRbQ}t)Ajla$2$OUP9Y0=OZ&;w0!CSxRHc(ih z+XZb8{iQ_p)bclIvv_x8zqk09CA@T<`Y81L4f!29or83?I+ zdvC$-00mfn3*3BKq{^09ksv+9$HP^A2yDE}I_4>i;&@H*2yv8K%Z##xva z&>2DfnpHK=@j3i=Kwbr>z>1#~BLzUsUN;o`@Ra}TykV(Vr&z-j@>{AR5FK#;m!?TR{bS;c$KD?w#juIf zEb%kC4x-91N+*BxFfJ{z#dgC6b|jhR3BE^}lEs;dY-o?ZWoc~bbU``cV7oQm4a(bX zJVe|~;L{H;;*=4X#pHp252p+xMQ43r9N_p0U3HRzd)LNxAhId!i>Q{<^kspz@}7X^8r3I^P*eFUIGi@IWT zfA4<&eJhZ=fuk`{53AtDKmThpgsUeZJs0JWiLQA_tzT{%F?XF-Br`}x_B#7LPVCI9 zcgzVu(vD=2#>L zR{ag=dT9G4BFAPVx$D$713E2CnjOaH-oB3T5#zraLY*adr8DU&UCgT&;^bvw&Sq8m zd^D7Tavu>B`^q5-Lq~8T?}n*SyN!L8${4vtju8gV;i`2@&h(6x)ld0fqnzeBt~Kyd zG5>)Imy_Ym2Y82F+H86u#~2h5bKM9#Rtm@iM!ljz!cy5mS%KRF>k zYb|4>!`h?Fl}JLHQ|n-EX>2uhHAHVjy-f=?cRsfvfCZ&Ae)7nqr(Bm*W=@FlHs_F+ zylygo1-#EDV&se`#OQJ=T);4_A?Kt?#vx+F)e+)VA`}kbi^p?ETm{@8wCWJ2NM4G% z6-N8c*U*wb2UI2&QVTMcUN}IPS~u})BSLjUuIp66Hu#?MvT2%FlQffr)kaOtH5T$C zRDVud;uqnAsBuV^h?}r^OdAPM&Dw?UFv^8W4E7MVQA(k3g9&ALQ$lkK7(K}oykI|1 zD6+{5{Sh*TR@K@(XQ0#i(dM6A-!Z;!0+THfK))D1a;SczCU5v_fZwS_&qiiUe*neE zQv2m-U4Q>`^IwX_2VB_;v3g^WlMp_D^TCB^USFEqJXVibX#TMIOV^7GvN^Nbi&#f& zsvwN#9~f)j?w+4$(%b8nE#O9^T$o5BX4Y?YSPjezbrzidylGjF>}n=0Nn;@4tBed_ zsd!^ZrGX4UXos+CneeL!54oXHte5|q=Sb-91Hd~Mw#Ox>yb3|~y1^vm)!)P$Mbp`3Zk;6o8D8 z5$hv``E{hY9NfK#S3hYpRvO$aOBzY4qx^d9s7k9bC@Fnm2Eu&nkf zE|TkXW^lk4L2t^&NEa0<&urmjwYvk-sz?#h>CxZbJfIbAJZNomJt5AHmI5=ww9!&7 zb4#Hqe7IzN`*XAGoylP*{IHhR?N%Ro^+(EXxzY_$@U;UKkoUF<_3hzYn(eJ=aV$rD4@XZcq=rFN3U4JvgK^O@cxOiW!!Phj}CfR>*b z4402fW-{ocABeG~?K2i3B;}AKotOkhdq<<5e)wesaX99w>dAB;YG`^y#OUdkOy09Dq6*E^uJlDs2n~tA#Oo0zB@AHF zORfA-VD}g&r`P1+RAL1RyR^UYVuiEN2^_}FK6^UYik+YX{!Olc*rFHpX+F`E5i6iw#ikbmp?9#k3E?HS}bV0p93w`M(^Fr5mdAryfkAe$uzRxRMt5tGv|ND_m(=x$TKVW?wkNl zrdO>(Y9EO6jEqbaKAFb~uyx;fqR)84rvZbyb^X1%$ro1)G3{>V-TR1U{yFKNt{UtX zvAQ3{Hu5CC1nNpePnu=(8>-!$t6%*PLH%e}Ig4Gz9Y||{^%&cp<Ye5ZOu(i!a>?SSc40VL zg_PETVn4Tm99tjXfV);k{>AB11#MX21nru(sO`j5kaHLQh*_&~q8mvWi zWe}H82~KIiZ-a`Z(4r1TDz4Mrd?2HQQ{R^SzW0@7JOz3ggrPv*bKTbZF`k~REmXA7 zSP4pZL1$Nvs{!n+vBkHj%tquLFUi=ve`M2+%5nV5>j6abU}n^Rz)iq%`!ayc0Vbay zTj&(j3KPM8+WmI^$a?$v8M)OtnR&LFDb8^6gazg{YPZUlzHc%Pz8G-3;5Iy zWu(t{iZ~6pr~KWZkVR+&ws0n+`FlPRg0oB0#WalV`UvP>>Ni7RkOXnlymV&*k5KT0 zOKc&|sJ*wlSI4A7*rIlF$Ml%Cu1}Z8t9zAB=|`EWqB3Ws@)>yw68QGecdy?3^HszE z*^0H6OuFuY(5^j;BnUr|nR1>3yGLR>neJ{g0i`A&20xMGM5`y5I29f-;LSZ4A%_S~ znG>PT`_pb)gPHOpxuDQc{(UJUb#iqQWA`C`xLxsTFwW7}N?yfpG%#4SSuzJ@PGM(F*+u!y~tMW9yZ90+C}CSMXKB$g0N z%LqMNrO=)Y^VeLlX z&PKYda%Zs&MHVnv0yI$UxP_(mlOCXqAD&_vE!o$X=d1yh8Ni+pf-1$-<{gb9LGjcT z4ErPZ3QRNgf(=b=_I6Uc%keWh*+Qc}V6N0Lpw*H2DYz-1$k@UH-b~baogf#T8YVOs z4+`^(Vh-4O?rGfeXgZjPd2iH>M3C8-U61?9$U_=}zg@#E)1>F5ZeTd6bw2Gp*VdKI z(R-;8*GJo0c&3Q-%BBo0e}PdAY&d9n?>{lu$P$LSg$8nF-~V!tPep`!AhfO*QPe#u z`CBrLNBv4$+q>%QcyMuE>~YvXTRii*e`bHX+${t5Lu60FULtZdZ1E)oq>NTAMR;>2 zI=ftxaQ*)3nagJvvXlrvKK#GAqPD_&3)vv!2?saj!mkUX@!ltl=h2Cs8grj+V)*?z zNUkRkH&kei$FtJsejW$X!F#Uw5XBH1uu0^A;*8U0xhx{hIqp#$I4OZ{{*UMeI|1S6 z(e0Dagn-WrhF51}C)(*nNmqEWoNr<5vKA(8fYhl7j^2IQZOGlV?l-aWNr_R{uk(tM zmArBenu@JhiKlpoEWfIS!} z>c|K8*}`f{klNx4Envb%PK=X{$N%74Hnr}ey;-KZRUu&A)t~oxa9h?&nJx_}M^U{6 zqXU@4dC!($i_6PHApD&fL`>JBxIKLwuDyvNjRiUhZBPwN?yM+?kv^n-t3^`8H@k>%+r>Qq+Gl)v!JVwJ~N79|U1x1J5@y^v{$8r{XORr`jK%9Q%uy-|Gc z9^GhbR+i%QzTj$D)zv6sI+wxM3LIb)F?k0O`eDf^@JpySj$nb_>@j;p%C3gxw-r+R zWaqh-89TnS87`Tiu0*O3WZtuI08XyoKyrt=G7huTsoi6cV`1*?gl@sAc*j zjd*$s$ep`9-;&6K!k3~JQQ8BpI~)R3JwNaX42~z=nt^ zmaSeBD?&QQm1ar`k52T9TY2Y^Xde`ioM_l7vGD?oxhiM4YC@7irgs!ISYd1rE6VXt zv^?Yp*ZBt0{4-U($4Yi1cW=r(_l+OviWsbFP!h2z-gzN@=imje)avr*S$wHnJ|+Ee zPyE%dF4W%AF4;%SvikMbBX(V}F@+^9*-&-FWsX}rM;cBskByp6?{2*rl8r3-#B+x^ zlJbNau6?PMX`}7nnD@}?__4*hlRBhFH`ii=VccWEkD|oJp%uQiDV_uIvh}+$c;9@8eI8Gt$K8@PHk-y)NVWGlsD4pZ>bs( zrQ+oTb7pXtoJR(W^%Sj)#PJ@v>Gh^rf7AF!9xut!QL@iNF7Fx6O6mX@3fr8Jk3NU} z-dJ;SP@%`O4iad{GkH*KvVxqLyk`Ih|J)T5+fKk8_QuEcFI}BSeIA$x@;f+2e7Wo0pgcB1$}om-N<@VuVEh{*c-d; z?{4sGuzq%{pMQ)CETo=W{^YTi;vjcza_3&&=GBpZHM#DsD!;oszg}ELM9v=apSvA& zpJTH=fVxnr65H?tkQi)-3>5J4Q3dcpi@Zb+WL#*jp8Kp`#y^&1N5++cU zplFL|?w;B{GIf5n4m3V##h__k)YvEt>DWmXVQZG8MtCXmiLGQ878c6$idz(7Be~R| zMdb1t3}O?~9sQeM1oQSM!IK?s(B8%fd<$t$}a@s?aB z^6Hu*+v5v!R4VpRZGb|p1db5$u??k$_v(*pT#H?VmH%GfYaaWKnyFZ!uti?-6QP!N zC4iYnVs_-EgvQ)YdGS~P(<~Q< z@J$t3tEiC{k44L!V+}_)CQ{P5TA7@fBS+6J62Js&b14!A=?9|*c?opMh@N>+7?~;^ z_v4Ucr=W7wB-eZ|JoTrq=ydE(G%%mOPfL*2xc3G){c({T<an*FgU2R?Va2WfSChdD)FA$+aNa5zf2cPmaA~YH=6;jfVphpz z2|2UkL?~HX1;q*U|Db9HevVMn*>D5(n}5u|$s1Y~zRZv??ReqK*>q*zs3uQNuP1`R zn(|EhxNd`zzS!|}+bTF#f@ry$pvhS(iSlEBW*`2uNr-Z|vYl|}XM#sjqxm)^sB7~Q z8T?rylT@YTGDRw#QHjVsD&u0}y9 zr0ib4K2Ap-UIpGgybpGm;_%E69*}t`50%iFV0Kpx5RI~X0#Utxh!_ zH^P}8ZFA->V-Ynj(t-ct^B#z<>??BYNIc^SyS@mXPO^GAb4hA2e5SI*i%`fkdK1I9 z*D0qa{)sKArA_^$;k|=3H1Y49kD0Rn(JuOIUNeuXyK!~nNn^k-7<8N7us;L9bhf?C{qKWapW$nZD3LXYhFO^kTE-9r2(fX0UC7``Ci~2?uNk=D@OZC zS-acY{iZ$m9|2CSIgsk6LD-7BVMJ;0#0iDA$piVq<#%ZNT*tqWBCyCrwB4~V?~>Mu z5qNgC|BDmo!-bzC5PFJBA?-mB)C{Mw>*A=2xyN@I$dL84eFm!s*g#Dm8hxxc?KkPc z@9-fQ&DP$PqxKSef!PVB^8;+>MTtH{e@8%sxfZm0Q~I`?TwqdbQS z-$GMJihxzbQFU^Z1C$<++_6CtFA|n~goZ4vCLa7Pg7NoBcTk^n27#IhHbm(YCe2e| zmw{f4TwpDM1F?OUbB1AV~Z%-{6T)!O-)&ejf|rN+c)RijxsmgaX9t%pr-Rdb zxjn)`xNs1zM0NtmrS$Ag4!8q)4y$`r9)G$h+Tz(yUZb$A#{+*3Glyi_JdV z0dhH%3~;hRPYV|O<_K8drG|g9E*4ilL%@I>0_bkXw#MZ+IXt{82OiRLP>ePOQIUg} z$VuSlkBK?t;HCB1-@yRAd4A?wvqeJ%ux)4h6xyF6tzTbGrk>pn3xSVIHqvc%`X+e< z2ou?_YF#on0HxAklv?%XT8^kMz}KyO7}|sBwU{K{Nr7d zI4N^*8}%c(Ff5zjc+7nL@M}$B8B7e9=tAkbTP}@Po!770SNpT%w^>6^lQJBruvF$P zV_))jZ;YJN#-8H8^{4F1r{vDc)!i#R>KI!8t@^NBJ#5(G8H|Lg03wj{YU|kec`Y&~ z#=7jL4Ij6VjX)IM=C4$_dF_n~gXqF*Q<8SoWfB2IXFR#-YVm=2Ks+jm*XVj=;!^y;|YNhyZPs((=+uuWN6dsw|L%d zT!V~*Fq*%cbQzC2TW}n%v>8Fn_Iqkm_Jfgh=MU3p>zu(IDro*1mZa@)WoAKW+nakh z_^6;)M~#>A`R0e4lFnb}lCLS!E~p0%tNZR3+uakj@G)&tue)fct3mw3KZ+xK+es{C zRccv0nfpEZA(Gc`Y!khT^PrPk>{Ta50QBFZ&=IiYbMnh{zRzc~>kpgW{b0ZKcEC>Wd4Z<&S z#G`wb`$s{#GsQW#y&&&cBX)F;v;Z(Da`qSWfZ{cOSZ7BXd7wnDUhUBW$|C3@`Pz!OUoSg;nrCos-g-LWgWQ7eWq0xqAWE@-^|wi{Bp z2Ndtm)`k4+F+DpbqH^!}D}v?ZhK~G0zpclUUY}K04|dGr)3HK<_{K*&UL^s42?WXJ z_NC((k-fvp&v~#yi$@=r*xjdHyHn2yN#9)|xjqaxo0>?;|7K2ex46|X$M#O_vjzMe zR$yNcYB&)PY&;f`oM|9=u+>!DLPKT(QP>6p@#k2KF}c{t?8 zF!OTA7Z)kj`fs(Z_yv%*C#YU3>amYxWuG;AVvk^Y-9zzhhP1uVPJBnNwlx*>CF6v@ zM7ZaYht+k(^!(X?gN$Nw#g~+*{rxigc|xG?(=ie(G@(qGi-EP}Kl&*DwMbqvkobx4 zb8?_HXC8HYNatgepGS+*r@ii*wNUzk#&QB1Rd@6dIEA>|SC7_SkE2eb&KT5_Qfeu$ zcY|vUGi>%S37GcZ!XHe9I@sjW7&WLCVQo>#DI(1RTY;kIg8LA?3UG#SmtWJ^okD3|<4}1a z#-L6}r!MS>`VEFk;HCj*gW=BYT4qC|>AD^B{SPZD_LG%y1UCl7BJdRXe_IiZ>u;qv z-1M|;W~*=BAk-UosO|nL`o5;?-x+o*(stfT%{poK+2RiPcX;Ur`-wlP&`Iu=Ft?ye z07Ce&M9l*)$0yaAN3&ELItM9O&K;Z%Fp!6a1W-M$e_CUn9i{Af#{sD!1Ok-9CBVtI z7A2_E-kD4R79jWqk3<3#4;;B3mpuyqH00LB>;8uS7c&LS{m2kG9g1pC23SiMwC#>+ z@i+0X3EWFyF`DO5HBVPI%KH|5sNyb36F-NpG< z>QHb;jFzu1^a|NAlBad+|@-_T&Wu z?3Lhx(rZ%hlp|fo=b2wX-jW-c4IcynaQCsgSYCa3Gr`5k*R4TDHTW8TRz%d*327RT zuGf_O7LqsG62pVx=+e5*ltsML7oKx;A9Gd=kJ}s=tcj{P_VI}3sCr%1;G^=1 z<-+j$fO9EfI|}hmo;G`mR;c##-)5wg-#zMTJFT^xMS4XD>+#Vp>$^$#(i@-^R%Oor zyAVCJ?EUf4znfU%)Ks8?3xa8ZDg$%LmB=@0fTxHu7mw1^L*+W*k)u-sRS5>YjjeIvF1?&opO8jxsn${@ z8+inK9>z%Uv4au_OeBQ{@>0;*!7gp0he&y`t*Xr_0dTt#hK0vGB1;)-ZHV)6qw(Up zPcEJ85%VNYmfab=#&Uae58=VCbOrHE#AI( zcWASr!?ta$@0DRCA684~1I=6adCWV?>~@1(j?votEFFHty2vyIV(Fyf=H;5Sx`_3E zix4oL#1EcwTLO8k56al%#h#qk}OQ@u8g zw3s{9yYe^H%O?%P(p+XSHy?M|pt-l;qTlYD+qdNF{G1#Qn%8oOXyDRLevQuHI<-dh3OXpl z#Fajhs6SZB`rn8$XM)`B%QXuA7A^?<$RTP4E3f6(2F~S&ZkrrcH?YV~eVW_`5?U!_|u2-OpEHBWfXwqhNT8Tu(`=oOtalG@{ZuJ~9UOtRaqh?`AC+NB7Nzk>f zeYWP06aVYgu#(O(PZli20)0c4Zqx-aSc*$OZ*k-C^x@H&02j{3$~td2yVEFQT^Z!s zEneNCs?8faC9)Ry`xdX)azJAh1~Y3mwEy{CmFJK4(3jCbQ)=|3ZRAZfrF3 z@wiwKhPzABa?ae?^KEHmnCo65Ia#&3>cz>cC;y#XjGp|Xd->QXwM0tn`h&f}z7FD~ zz?&X~Y(w?>c6Uw_))|!7%Kltunq)R8CO23A&v)11basO+FW*wuhi3@}XK?j(NJLpB z){#{KF};uEC;E-@i1sR3%(`t|(%LJIW@E1nf^q@sGtk?4lS}kNdM>W8>d169`ur;~ z?{_VuYcjycZMTz$`Z6tw_3e-Nw^r>NW#-SJ7=?L@iRCSU3l5gY@VimIj$x^gq#e_($S7TdDJ#1+ z#CiqzUqC5ji+)altlc`YES+<~p zK|SihD8=Rfs*2#*#R+<(q*UJCu%xPA_6h`ndgKDlc1}c>oPp@t*DqNnqhq7NO)dfa zi`jZ}=9!%w$vDutr$6s-yx(u1PQSsXBGnMpnt6p%uht<=VYe-;%ipT=_FM=KeM+F$ z8hz?U9IqBtOTi3ixxL;lU@|WlZuDMC_%7;{hWpx>e3T{+%qt5&&TAyT2??RL4Y5+Z zsw)3P*N3t8RF2va6RT-Z;z~YBKl{=zn!xgt^)s;;!{sk-k${`R5u*PDAF9Y^GoC`l zN17448CqOV-=b_;McN=$kv?{XH#MK=TeGIL*JQ49#md=Do}zMPGUFLcwApvpN!oxs zMBTeY%Sor-Uyu8T9qeu$+y7o|YB7Fsc0?I-$aOO|eg4NUA5l^aPvpw$HQmtFV&t{R#Ybz*zI7z-LLMm7M(AR%OaAppYvasVcJa|R zfOVrCH|FH8(6=)I2!gsrr+PI~yuMJ-BA;-Bnn zTUG?%1dH%1q4%_=&)}nHzAGk+F;&1~RX_t)ebPtF#67$yU0KQ?6)~HZcNW(>o%6;Z z*u<18C3?v)sELV*RTKVsBm{lZ1LE*vM-MxnqbsvZQpO#+o_B62EfwiU z=qLKb?#9j=t?RJ+oqj;5U*h8fu$86l!5ZX|KC}5D%!AqE#ry9v$$(gv2$ieO{ zdh{^#g=|~b{O0YNRpj-33Uwz&wUE3myLrb#dXzb*FXr5qcIsli+jCxQOb&N?m9&dA zF2-~b9`}k+c{4I<_$l8%&`+Q%e@1+jT!u(JA8a=Ngt6 z-8Fg~_?^;#C#~17WB{{j?GUk3ByP%3E04z5jw+OA`2Y#pDqSHEb~9 zE@P@Z@|7ZqZs^RfpIe4&!LMW>$>NzG=y`Pvpur_~x{jBB5Kwo@5W4w1W1 z`hd0Wz~oWA$5z|6RLoVYAjeIF2Yi%_a4EQYQ#vLwo|O0dfqd0{vZ705OlV&`v0Z$> zsDn+DUG!6-#KVv@AtFofs6G`sc{or`XJGCkfDEpG;f=~%Z+-HOl_3-9ReA74QhSH= zXc}hNAyXKEJ$?x_d~oN#)R@84W|Hj~3IWLKWxi4NM*3=EBz)hV<~@9xYsz~=ty|3N z9ZkY1%A2N5Qtc)0t@Jz|*!!X8Dwxj@CoVl{ZP+M9d~k8TczBI=)br?HRPjTu`A!G! zH)>UDgHRZ^OcLqrgni*p|0OQza9}Z8AXV+-$W6-<6SN~`QWY+-_VN>@>RpFob%zy zl>4K(GK?qmsUOHon^Fo?de-`NQ08zvJxU6Uec*Lrx1Vmab8Z568i{W{Awj&-9ospM-prUDG@M1dj93LhtF3x z#TesTMzs!~as@Q{Zn-AbXaXY=is<_lDNd=*9dJ4TQ6f|XB02=tZ`6Nz#{j|VTG;1A5sjBIO4031%)sXu97q!Vn{DZ zyY9o}sTrjl1D3lH-~WBc2M^;6F8RmOP}9aPr|anXQ9=WA_1c8O&>Q+|WYglJ%bRZW zZZgwE#_?ulMoVYv2c^w1W#u=88@kkI>N1L4Qs-9QwGw{z`k=PVaur71dUS;IKO0bo zHEp{-Kt7N`^WVreh|iilFjPY|20IjR;L)l9K>4hcAU$7+i@Tx}+TwV@__n5GM;H2# zZ>KuE0^JZyC0~`xS%tRgsSzQV%IhHQX@i5#F8&FgqRt3OV}0H8;jf2cyQJTGJRj_v z`E?8kuZ9Y2RwxaVR3qj<)8j%RumZ+FE{$RaA`lW zODKoJwd-Zjve%|t6xJDEA^1uuTU2`cbB8!MwjRUb+G&Vn|tPdyiPiH!VT0xtc7iVm-IuT(F(9U zf|)Dqec=-UV>y5}W(TUeCWY;)6;<9pxNQkxRtrd^n_v^!sjcMmBIFq$lfV}H<_8`8 zPHu!{h~sfAi4V0B&z}8-bxR{=CtNnm;K7z~=&?|PGDG}B(4Y`HQtG1$XxZH}+Tsp1 z$n-yWO#8dDoagYtbX+RE)@UjaUvFdnc}&Rvg!dG!SM9Zfi@?Hs`?EnH&mMBLJ7;2F zB2~NTc-FhF^HoP4#JRT7z6|_+%=dL^pktpeu6f9hur>I|6#tu{{yPu@a9^`kL;^i| zb=3?)zg|$Z3^l^lh$!Q94J%uUAD`^YkYR6FI&YrQ9hbGBSY<8_?_&B(`8fpkO?she z*0}spizimVAyob(A{m+=5(V5jH%NDv@D`QRec&dc>jR!`(EDgQKb0JQhNp9*7^ehBPi);>0QzV6!q zw7AM;l0tj`9Pf4b!3m9I+HLik^hTcldXN&*_ioafy&BOkmZ_s4`p(dTnByy=N1FX) zz~JoKpL&g71geLox&|Y%rXkO^lqqDBu2nha=qJ-*@hs6@=8)qiO`$uPa-ZPz&M>7_ zp|-w$R`nauQlVR6p{6(>X4QM#a2HRaH|z=;zK|xQdNopQJ`d1`oJBojVgtCDcwoma zz4vciP#s2EBX3Qje)xuDwx2d=*!?;oFb(8VHgUa5zJWLd#!Qf8u%)6(wOX*-_9(9= z|3Cpp?$XGQB3%xMX+?g!vQ@;WdZy|*e)t}*Si$#rt>%*7Vkd2{blSuStLnoq$UK$T zMdwaB*Poo8;CLfZ;9s`eCvL8)V*1f?YO&*#?eP-{mvOXNf{MMi-Q9+vM4ZMuiW*F- z<{GtsNZw98M^h(et*imi+oNiFDwWj|?OaG;X zZ4;%$*~SNIT~Rdn1|C7#DaVw)qJoctjRvV(OP~IqlPK3i-SNnO{I3ist`fGC?Qn?A z)`v}0#t|Mlsg;Ew!JEra7y_=$H}^zcDuYugI>Fu{e*Gt_O|4S|E0cS@<~ZZKYBLMW z7Cc-aett@wN9%{FruWzG4WJq!a_cJ}bkUY?)zmi((~Dh)Wcm^iz`!gSegVVGYrzr- zFtZR;)LhYV11)bz#@@dDvo?LoPLKrHjlpv2bm~vD%HbE6Ocm6Sw?*VlYC=Jf(A;Y# zcKlQw>K8MGw4(-|?b^ltPnad>q11L1c1=ct=y-;z?)`E^e(R zlz`go?7HM0r+YioaW~~rBL-rpO;EN=G~j3BlQQx<^TVhrgxFsO=+Qb z35p3tc6E8$`Rlh&UGIn*3Mj?ys_3k0qRwhAD) zBCZx@GPvapc*t@BJ45GaU~Hiww7%Nl}Yp$CTRFI?E>-y6))r%!z!; z5bKdX!9XVJ1qzH6SgH{PhFW{`@v6=4AB{1A2JD&RDUR2_*{-3Iryi_P{3zf#UcSmq zi5o3gs5`(Yy(F&2B?Jl}G)1DTMg;yH7wMt1pn?Ypnx@^Sc(J6{L-7rjt2G=!+B^)) zH9B^;QIeA$54VRCGuc8)qhn|iSWo|5x-Ki$f`z~vT1G9uSbVH{h(I)dE4kphk(~K5 zQfKP8pft3`bNzovF!8KW@WFsU#7Bpsz@xvXrqv1VecG#n4|3{a7LGh=+ZC|LG%dsz z?6x#$+!IYN-bw2=o;ua*-09du%H&Obh?{GFZGd6nZr{xsc-f_>N3iJiRo_cr+l|I< zuNS)L{_m$qkv}#{Xr$c)qj19{J}A!*o#*@Sb0T714(UC}to-8mSia4@)=tHEWXp8U z?&)s zJdHkaxNC(@QiM?lISKS?`Y}TF!E_UZ-fUxp$L8qBWi!m8>|EvA(>zjIHAd&M+(Ry6 z^<@3@6C3wI`H}o#wT1?wVs`1@P;}DlsA~C%e-+B9Yz;4xSICC}WdDa&1Tjqic z9ii%jnv6aCG2h~X1kL+%qbqwq_F~9;YN*qUoT-nJF8d=GRuJL{p6LJmi1O!lOf+ky z>`s(11>2|MtaJR&jpg|3)#(IPG+#uqh+wmeM6!;k*h0_+48ia-&X|y=tdwUoqfw45(0nvubbSswhFm)^N3{o(X@vHX}JFL7**Iv2zoP{#gI;fnaG{`Mev z84RLcHQIGUg~3lBq#}+4I<;TA*sMan}@e=en4zd94E6_F<;d6>>S>@jP(DOrnw$EWWd45KGmTA zg~i+Z9MgtydFOg)z)H>ZGMx$YCBYLteEnz&P2*S2F8qXdT{bC)&}iifHn%cy`QtaA zzovsw2{x7wzaQuxRXshs{Cz-LXy&S4=2Y7ESab$!D{=ABke>BJ#xm8R3N2|J+%s2S zs|MY42^kGmFYcB1lu1d-2&UD)N`RQsl=n#vzcqEG_eOM$HBwIyjnCTYKiRRj>2Emd z=~GV)+N49FvuvR~KJA_p9tpu_^Nw3eFK39ss|~wv`D(deVh+|{|2s8vJuHk-4E5vR zn;HYoERw7ox_?T)d+3(pY}E7aZA)FyH!C%Di2cn_ZP#_VcMnk9_m^Gs2Jw zjUIf6;4g<75dbP6(Qr%w!DjE|N=I8ovdkIYI{Dg#j}d_t{#I%dj2yr9Ok*s$B`hM{ zBOq?W^<`5T83~F*h7rNHmWNA5_<%JLpjvP?I+(uDY*7v+8T7vs8GFm%Ly*mJG7248 zIVJzVLg7ks=%>UwqoSw78;|F_AJ$rd4D6_S=OHa)35pAZ8!h;Q_2Zd!*)G2B1Z%^h znXB{8Ps}JEZuuO4@Xw_Ge@CeNNV(m;T2qHNAyOe~=)aD_lOCOR7Fr5gGLmag2OXZy z%?!q%0za>iH<-6U#&?VsrgBd8b^}vO_tRY} z*A)@LPlf({J&PGE2_CH;Wr6tzUtEVa0Wm;f@`{?ryN%hQv2wdAAQw zT>BF#YRR6->K~qEuQH8{PLw!@cSnqMnj)?rpAk98-0D1{VSU|1G%MCc{37mBX6fZZ z=50GUPdkp%YLGcm1tKMdxbmpmJJ{Q3M;6GLT6a%pr{k^n4Ax_Kqh>N;1|e=RV#zCT z*Q#_dRv*^0HQFtbX@S)}f}#X_es;;RGdzzQ?>-%9_q5rUV`gY{cu(G`t7eUwe;l+z z|B+flV4HUeq-YC5x;siz;}!6<^EIetmxct}SdRlzFHU!Q`C1^)rsL?a6B)W-?dhE7 zi{AcwXyQC(^<7iqj*M%&(4+sg7s;KMz>eEj@o;Rbze42y2zeaiiLYZnPAo zRVzkROKs^=6?@fa&{Dg#V%7*9PiwdKP9L*&ZHZYmYNoYPn+B;F1VJQzw|>6=|2a8M zISuE1=en=)x?b1on#R3c2Nk;acj=go>ZIJLkR(#j-e?tknY}5Y#}4$GiIOj5d6v_Y znwGUhSM2u*$o%~U^Si}P{+dDhAHF1qME?N9JjRy$?;DOyY~EQ1+e{G(4TyWKw_n}A zB(7VRlve;Uq?n*M7cdrZi{)1?FrwF!pbbuw`Zg|4(6$! zy=&}mxyWRHN2Xsi6ksTQ)1u z-+hGz()Uj5fFunaa|7gj1Vz{n)*J zO0=+8%S_xdV!)~A*74V&$Yh#vL^9j=y~AN7U_DIv?2#MkAoj9}$gqT-5*C%UvoZo|&wfV)H04Ew1oAKNnac=c zM1_hM0>OkSAWniV1xRnfOo&2sBh)k{EfF7ob>ozWgVk7Ya}3z5==StR|5fV4-5wf3 zJYnR5X>6%AtEQdx*1qPSbfGTnkKo1~P#(msJ!!I6XnIpz!JTw=X1^&(O$@BePXE8v zTH{5*=lyzmLYwLAPd1YOKe^4k$^uZBpyLe0C4{E&9aUuibQ}iqtuBa2Z7rE!E*4a4 zdFEGr=D!6ZyT~HbeXO*F(m|SSyzRi5+mm{yKh4{Y$;ma4@7$z)2+H*`Q_RRyiPkr^ zN{U7V_wRhW4#eorJUM=6=I)Z+9r3#@zzovkJ^1R+p)Tz}zy8N}6A$7P0EDiE3*x~F z!im7$^cFki{CF^N%QhY7tW(9(yVSme)u zjrlkh&Zhb#?<0^r(cP55J(2vcLZc$W8DH4pdt-?~A8Gc=N)81+_njRTPx~#=cNspr zsWkZr?Z%ShSakJRQtdAwV$mEGV2X|}Cf&MKmjQY#qg3Z24CMVlW9g_52n4~-9RuCK zJ3!~K+9D&Q2y8BWPw=yRdhPC@LNpkn1o76=OqQ^w=Jn7`KE(O9#cG~HVdwQiJ8 zQMxM8{6AOzzlz!^NFd}jL*|*+c_JJ@XAZSB+=522th-D*|JX9FDtUA7p28)2)zeqt z3WdOS->F>}t{w&A#>Hh%&W42XWe&=oc3moecwO>xo@XGhrG!L#h>xUwU(6YT1B=hU zZ8ztd@XL&5uU$^TlFsNVT6+ev^K>i5mue~90`;6l$wdGZo}7*$a06}puPwmLfi@NR z3Mw{+LhZ9HUxEYGx9Z z-q!l&i}^QDuNLS1adx+f)LSKRd5b?`<`>0sLG3>Yg@0c4k~04WvA?KU19`9$hoia8 zlg&JlwTr($|v4bh)KeNl2UskdEKv#=ZCuntl|J#Ys zIC>JqH{cP@4E;jMc6_Y4Xi= zF;a+o&8Hsp5x`u*neSlK0E~0`OSB=Md-?SD^?@0@u=EnoCWU6tvm4xK>dUdSOikPN z=wF!#U#qxtDR^77SDGhkQB?^4_CuAvn09Z<+du!?C)@~-BiLRyP-fSeb~*h17eVau zTB-n#kH6ICw50ri`SK+m94=@^1CHJCJB_}kXJuMH_Y4(?mWhA-uZY|6?rs@}zPD;t zO^N#5MCevVKJhEQENbE78KYLMy$@hNPaU>@xL}s&dJ09h=Y=v)$pvWaa&pf+5dQ?6 z3ZMY{H)#ixDwn^V3#{pCH9A1NTV!@GVEjjS(KDC#e;Q>#_y&=$_E2Y+NBukyqIeay zyeKyu@VGvGJGF;cEO2J`(zuAw2)T^$Gfqw?xqFCFCEE7VspDsoxsJx^{yZt@g}MB# zF-AvzwwDL|UK3?rUDBo4rzJ4|D|(1msR%g(f&fr>dcv0o15@uZ8S*c;4r?hSkBSn1 zbJ5-V58A@D?AID`Q$!1{!cT0*w;9i~eC1WWDWy~snf2qflJ?2TdwSMGd6zZ@ZqK=K}Ks+Iw^W!|EPx^aCKvE#^pov!9#551rIV2?Q+ zdj7;C7GYSvlakb4l<>4c@sf>v>RN=&!+?TK-=K_v2txSDf93~LHx9DjN8ON+w|)s# za=;9&)(l;)J#!%vk&?+?EEaBjqfDZ7dBU+PNV1VgH@Uw6pV+q0%^$2%9V}>&{^e3N z=}K7WO9L4yFg`Gb4Y`9clYD&FODRLPRx)LJbW{^!ocUVBIiQh0Iwr=*pXO55mb=L2B*?qBBZ1pY;-%@ zhVdpA9rvxE8?|ec38L|r5!Q0V4Y{OSC0Zj3JK4G0;@@|bg(35hxYz0OH4w3$8)09S z3W_^%39ICk-;c@)g8#Lh`?Ww;?5p|zRy8$XmtJ;RW&sr$J!dGrU8V8 z3^)rM93%^fYRT~7N1WOY9n0M6i#5esnVS=0>iE@r9N#(nF|_4vB1uK>!V=cnHd1Ec zX{95B32$<>bb!#=Xm#e@0zF3h1`#lMh#}V0%pU%aG94-w2OJFb48am1yh+NONcChA zgWZN73iW=M+P0%|E+%vNY2jUs9#pl8vWOP4%UJ50{cjzXi_!OSoC@{#`fhH`s7`i zjRH-*7mc5!{!z-%Rl*e(x)b{^gO17Hrb%P`_ox9Skw-Dn(F|86VX20FU51UQrM2uA zhMkyAx{_j=3-c!%W0EL6Ey`|>Gv7OQiW?jgS7%l^g0_>^%&;4Am~eQlliODCP@ch! zdA;O|tX$q16!3s2YR<)nH>5K}h8Z+z6sVhL3qle%m+$2|^4V(37s}3)I6cQYje6$% zCno&S!sggDqzA7KQz=K@_)1#q7a*`G#)fDPz6|JF_4V~mGD2`0*R$yln-{%OFCqux z9dsj?6m0z!+S7KLhql}r9!S>WgV9P>4Ed$PWug@Sz`*nz;kRPbrsid_R`bp#CfrdE zz(TQK13D?k9MgYFQ{fzFXMl0+ih7pLHnY4+ZEd>h@q)7_U62B-KeQ6v3e)A z8U-x=M3)2(N{uN8TVGIi&={(4i+6UB%8#}g)=uu9a>&`8$J*UYRi&gcZAB#_2Sop-Nx5w>484l&(+e9ZAu zlhrj5W!nfAemyD>tBcMcz`&jHQc^D(hO?SypsZ}W^+j~SA`Sb>OI9eFH{hsns)vGk z3Kx87E{5QdA`9v$08oKH;$$T@zs(=B=uEp8s+N`9KPiwlkmFs}9uOhubt|ppKzaUN zz_{mQk%aA39$++QQ_;J|GZD@F+$&Njm@5-uYCgK_$eK)F3+$bm(K;O23}}lxpv@kc zRWy)u+B0QF?MPb#->V9JcJ=d%H#)jg`ga%Z&tZw_PljY2`Ah@<_+U68Mjuj}a<&SU zlPYuI$i<%sXOBrWPpZLFIHu#7!{7NO&68pV&kce-%0;?uEnftKd!oXhE!neGuci<) zrg00Zlp|4EnWHSCW7}#>EnUcgytUzs(DvJ`X zP3z(BnqP17Wtcu3ZP7Sf+MIp%UZ#TqeR{^9As|Wh9QnIZb<*@T5xp2dR2L6=KuValg@C5FuV|Q4)WD{_aE0u%kPenSHEJSSNdHWVyji(opMP zu{4uEo2ldp>?9O;BrrLW#2z=1)UB`D44e#gXEmV>GR}KW#Duc5Gr&i#G%?8yT2?I; zv}kvVKiH^N5J)piGApI}cHpbzGGO82tIk2SyxDqMIz=a!SJ`iD}zFV;Cc2S%;sG3 zz_Uv}@yQq@E@8Tpyns`LH0VZ-^kp}d*-D2q(Sl)8&%hX?;iiXDMxK8b=QG8ZCME^N z>38+iFO^;B>=kmI{Iz$njY>o2k^km=wi ze{f_V&@0l{lVBHj@y!?f2DMtor%7$#3A+|l8I%};rTE>Y?;`E|w^Qt@JEVj7uKPM* z+TKn5CUGc2pI`lKb`gj7)Mt0X+@e}Kcip0V9dNwh75}MxdLCS6FnVU5=p^Y4>3xu0 z?x~^^z$995M?@m6&z?OR>o_1{eu1cE`p%T`(m3ODc(Ny2yaWW)@T?XPazMOUZ#^kp zoMUGVuD`L#+gbNILmQk`p7>dBXtKz&Fc`5~QY+prtg!IW#g7B+Z;WR)&D-llG`xdr zbc{!G0|*XVO*WpMvOFa@w;?RvPh}D)@m;_zDX6LGI+=?Y0m{h52$oXo=4gNpbv=7E z`utx&ZnWSBe@Zt$&aghP#Pz?*-IvcEKP@m+5dCD!WPysN;xC@U1o0k4=&L^%=ow z^`mhc$>j(BlTDsBaHD9Tf;#Cc-=$XiQcqKXKgQJXb-d3;op`GpYcV0$QMf@Z^>d`A z(S=D5tKTZ6aRc7MM33lg$}j5#%3aPM=|)XuG;8xE5X1+Xwzx|kNw7Z8v+xeyQd({f z!#;D0_8z$DTDhneu4y;f1l8f`@3WxoT5GO`(e7qh3E0P;H|);Xf7=*d|sQ_sz!9Zxc37DV!^4`P+U@bq z+Sl=6a8wSQ&Uv4o)De4<l?*afRNoFwH8i5G$QfL*q=@^Tn^!UdR{!PfW~q^SXv5 zHr_DlBu9CY2$yHp#Is9{@J>X9LFXr%7~6R@^H^)&Ch>IJvN0^CYt_MW$!BnPTNQpk z`ZZ-HP|f;$qPWC%<;%eEz@1xm5=@PHVp-LvUqf{-Q2$#}O-TbirPT2q$>*_KN~i<# zo^`p#dg!(bcnSn(w%Ypd$LRH8*PDEnkJY9qXJ$b1a^uowt48L;QQYCqp73Y$+w-5v zm1jJ8DC#10pmyi)|5D?x^XBy?Ft zg>ORYk`D+zm7}M?rwP7h{}hvQDnT7Na7jL2m(VI;WImtiH%_{O z%jxq!TymSqH&dIUQCruK0@D0?&>?g^uKE1#1nC&P8}08IcNP3Ra#OY0!92`^bo@G5 z{OMz|bTF9xo<4rChB|(*eaQYt2O4nyY|=@cRQ3cI=K~B2TFktz40~f0fiiOKw2I{n zu&}?}$wig!Fka4koziKRUYLMzl-G|U(2&$NzbR_^?=d;GpalJQEE$E~#7xtm70D^cD4`Wrl?6OBpR)8G8( zgosy?&P@xI%4KN%>WRlEk}~owL%^vSby5zMTTJOJGdogcKJ}+zyUL-k-PM+U-ox5M zb6A!3`<1g$Z?hvq!Mr;7?!bUPlxlH1Owt>ngdw#C5qr>F2uE(J%N_&1z( z;=+)I-O6q})(he;$dY{>bk;=YJ%qfIDD5+(h8vr6alh_|n5UMje2$mRKa zV(w8`47+@{ZjJP(=O&mwT;W8-Kx$_M#7IgR*XJRrh|AUX=0{eqm z>N0VTSHP!$>aTKCa@%N_^S6!107X{B37Ol6c_TC!rtNA~?{gZ!8(Mbr6VaO`Kg~*~ z`j5@^_n*ldT!jBN9*hF-)q~Mwl`_r%2XmCBfq{cXukh^bYmuFVp&p|_Eaw*$kq{xT zlz;7d82T}Jmu<6*bER>bW#uBiCQU_N##ec@7H#*rZ^P4l0Ompm9tGq=o&x$q6!4>qcbu?hl8;^{J4Y}8 zzdSwm?GZar{Atd3wvf!jA|gEd{FauX!jx}( zX?nnv@<9gWx^RFcJcZhq5dbZDoa8)$d%;Yy>__K?VLn-KP90qX|0;!sGY4Dw=?7}l z=A~CuP}!gI51&eAxLT^_p>U{?4%i!VY|n1Dgj!Ezdq^wR0U?77-^nI6*QA$p3g(Mf1P zj05CHkjj9_*4fz!{t@-yn(#HZiMo$(u9|)nIP=cQ&abun=3+sFGGkGYqOHU+w)+Va zFINeH>t+@sIRClopQ{A9;AhQGQ%lu~mwr0^n8R#trx*_?_sO&N*?S z$3(d?OcWhSc074a%E!dQsEi!5;a+l?Xt7OK7FN<~C?#JQZ60^yL_`9%d zP}K_&?!v|I$yFD;QtUR;X{f+hxnIqqfPkF52uf zn!REQ;}JVKgQMlzgP}tNvW8+ zaQ9{ELU#yKQz=3EcB6uc6HiZ&$+N;<3(=L`VBLxNHm9}o)Pz!rgpnW@MTPcjx#FD~ zjGZi1z!Mt^7$r2PUZ3~NUWp=R3s(Ph%;Asc42;j0{8m;de)--w-{(^?kO6Oey{qeQ z@368(B=jRsnS<`o{6IIxYcUV^hnOXXzs0Vkhmo~^-t&o4ycS_cZ!nehE<66eK8a) zV>QyDFRGc?SLClezxB;e<$-ykf|Al*6B9rPlu&(&&*e;UWN~-)$ghwz&EZG&vyS*R zJ4P@zJ`(@)dnX--AZbSj40;=9?c!b1B<4*$3W*(WGwN=~vfW<|eQYvZ5Flp-+gY%K z158@L#AFr(T03(a1wIjvOPz7`Nd!grspXnM>Ybmkm+r8?I5c-$7hu4g3ahzQ2cvU z*|QY~jAp9g^~LgR$MMlopdFx-+oyCf;kAr8cU+A}zijn)b~os{Y+7HetjYO$9Sfse z*X(kvg6Z>ubDe3|y2t!Zd!;37k8CXZUJdeYIT!g6eWSl@s3ssPMH;D-)E*Y7p2&QTh#&5)Z} zcH7Xf#uxQ3x7a^(8D;-ui9Evl~(b5m*%M|IE4`Yq~_vgteV$dj&QCP3m@|s zj)JhWSZhCVF6$D5BZY^xy_Uo`vC`dIB3ckFZ)@<$Fz7x56ExKXfmf; z8Dzv@ry^w%G(G2sy#>WYHPy+OvptpzpOttZbs2}?95a|6VXO=z$=hNary+d`5gbKK=Ni%71bd$ z6iv)gy(uOWzI=m9vxTorg>PCrn5%NFhp(QosSo!HHb{1XKc@a$QNqOa&RLd6qU7Rl z#E5Vs68Vu@%UN5LcFoeU@90_e7*5aR2NO0K8O#_2C|WI~Ls8MRmENS2+U8kDIJVxc z${pv;_!T~8^v1QK1c^S|Pl~X{)o*hX^Lz1%7Nw;mb%R27u^o;+R>_$y!TYyq@a6lR ztv77ociE)7H7>x#gORL_2=?o~O$NKATB;Aq6FGwRm59;kL6(fVO>80oDS-Vx1Yi{g zu&rHq@d2c;b6zGTePVnZNO5&V3n-Wuhj(=%VtyiGZ}tBdebve(*lMsCE1-&2I9xXT zy0QDR(RN8T^B$rhlCaQx61tO1QBQC76L7cYrW!=7B5tDR;IcPYZ0H5{llB zkHf1`l#@_z8hc^b%*UzD1?A!JrnBj~StF_;fn(Pbk;_eO!E9yk`d$Of`Gq}x>{;iG-FmhMViACVQ zb{Fhyj+u22cC>aG9oe{~`3eJUXR)VqlV#?GfEjd79ZH~n!{k6rneu;ybs1cEpy&k8 zk~Cy2qRtim-av+j!&Q%KbS;aNtFiv^#_`OQ(fD`0AWJ}`OpE`R&SfPr$wiHFCjAt% z^L|>Ad}?^rzt8I{P_I3z2lfIpOHY$nr><%L>A3$q+8ddV8w)?G@MRtVlSo+_j z+TTjk0n2xcr;5WG)6EE#Yp|v~iPTQdKVlQI!sfMZlUAJdApXmgN*0JK-Z&tbd4}1;jjW3H0;99U z2Fevo#dYMqKK4a*`gha#iAOCcj3dv+t9JUxUPcp-ub1jQR*T0`Z!x(2$$z&&n?($Gsqizm6vSI_qQ;A-N^U@Q zU_iSBpi~814y6|uy2AP=DqGbHvXTqqg1p1J#B{R{24a_WSWR>uF2PqMp*l?dqcD~{{dr{23^dM z)7q{#yXq8B5;?s7A+D}G|1;bC=<^yuwQ9M$D)vx}P8UBhkvbdH*WUbhcO6I@Ws9w{ zvGF9V3kNYDT7DGv(v$S49y4Whrx{T-Z_Mwd;-JxMO3JuKCcu+cb6?)sq`Y2kkqze znaoHq^uU?%!R3xj3Mr~?ucDR6p|!ZpnlNFp)_yzJo}SG{V`W4$leb7IdD z#&GZ-s$nIF$Nz3#+tHQdeXlxr_@kBywLY##|3?eDSr6RHVxH$8?29EKV}!y(SiPC# zb^aK@5z^;m0V(tk*V?#;mZG4Jr_E1nLZfGCAt?S=hh8YU3)8J6i%g5on#=v(8S&44GhD10mO!-a6WuKd8Rln zP04K;{vBzzmYUN$`8p8Ry=KN#Hg0sJ##c4I>J^pJ5~XS_m%!5{mD(P(;d}X{bgr<8$2KQ<#x!^HW(1jrISnfYAi7*AIx zo&t%-(?YtCw@a}pgNtCJIP<%A?=*J+GbaAckm0GTsD`^Wo6G}`F=#d&G> z0p%MzA97Z*p4cjV6bAcO|M@n%ZVd5u<+s&T&MgoT42?^`6MiXNWV;O?1ikM61{ZT| zumATMA4W3x?0hm*>_0-Q#fHVaVU*&>46V0I4qHgR$GS}qo?4h@mQm*e%Y*L3=f#hY zc?u>yj8c6-_~mK4K&t?#Q<4NgmJ zqlhVz=|e^QVl&tzS2%5_o72AGfsXfC9(WaR!>0#CF@YZN)Rfhdu$H-MTHm96-v?qX z82w>)g*KaVpqW{6VWj*G%vWHpqj;6UlQNP=+W=^hGbAXTfS{hJ(VwYyk>$};+uT(* z5GwCC^ta;BnJVSj+Bi^51QpFrb?JRIdfNMlV$fX{T1&Y&VpW??Mr2j#`W^N6>^0YL z;dG;GDy-medN29ySKFEIXE6qL3NToq?8y%NTCJ3KXB$rMk`9rdU`maP=qB7f;8sRh z+g`vb*D9CqpXcyUR#pbNYe8Ux7#qXGFxZ9rSg>EA%eL)pk=M#{8$vs2q3sjk=5*?h ze*P_mN6WHnt(&x!i$XfH0hIBeX#}XJEqb{VI!*)j1DG%ZyJi4`9JD+^JofpCCJ=13 zML4R)Ux0~YAl$mLx>^#S*SR-D&sQSuS7v5+_hBpOzgj;*Q;IZ=g4#UV)U$TUAkIq+ z6@4Gx45Dj0!Oxcp#%{)<_`X-0z0XQp)P)<>7`$(z{yWa8{;{KdASm1@PiOB$I3T<1 zXDxYqO8?D7j(o+!SMo|xOHxpuVJiKHgX-4-*&{;1VILaT?CUfjiCpARg(AEm~mLnrJy~fESxS=o=)r()Sn<`uuhKlMQd0m4OGPX>K zo%*5N9JSbgh5^hTTP(?VBGKl#0-udihK&lpXy_x+My`nYR|bR)ZlIw<*ihL1Z+LIk zY%AS3&l!z3^F*hiT)F1!=*5(ed0HtsxnJfSwiHs~^C}(&Rbr;&t3IhGrd&J>q#7@d zq2<{&)6d~4Tih?BCt~tm6I8o`)~6$*L1!>qEIeLeUeIu5w2#Bfrvysg|#eKxx5e+?x zJ}{a68=tn9Y`M zviwIai-p*fF|q+i>>H91*xvl{;=H-!#rzsv?ydRL6XHTB< zw&YwQWFiMPrthdOz70{*YTyj ztk10K3kwYg;ulS%^zgX3*sm>JS@1EYP-1@PAl{^cxOVfxw2Zl?40rA`OCIlXGcbOa zj$L?pO6OIFu?R_Os+KdU{7@37GtT~ps-5FGq0L-$Ff>%uZ^BtSabld!{UAO2>yr-` zAq4OKYUoiz3!1982bqaO@$8lY#h)2cU{&s7=K(6l%HV%?dj*a+%|?WvHk3>AWC1SHV!aEWkrGhav)VY^cWH@mV*wl}vsATz z`ZHwvgl7c}a_&FnG0K!-{T?*;=Bkl*d{8;we(k1sVpT($p_V{-eom>Z0M}GkpI*lO zaKX5Nhzi}#E(fW_5!;3CQImg5c{Kpb!gR-En361OM-35sy8R0)P{YR%VpVox#>+Vw zCw`&&xg`g7BZyv%yogg4t%azWfXb8CD8+z%d6zKZ%#+ZGzjf^8v=gKmT9ZQ<@eE$Q zm!_;ndcmItb1_u(B{3^_qYKRJPKJQCRrH{9^`keXAoP$wIX>AFU|SZN%WmuE`!#y~ zQKpeEQ(!*@$`!d!Y+mlN zkY2GkuUzD6nj#tpcqKpu5X5`H^{QwUPlQQG^5W;N#PoRvs%FA(zzfBGdXjm|`mpRT z-)4OvSN$cU#F_D)I)0QLrMj{|(`F>CtNr1{(4F42fmtZCJ1!FtZc(QgLT_gNOt`i@w*;tkPZK{ zorKM%r+OAm9TeLea&(W-ak(@duxPWFNH(s)QQHTGj*bSkpKbTs>&pp{7(V%5^s-Z= zo1*qAJahe(YX8k&W3t{bX_3G&qIMrk=}5;SHH}KKm$^8?bBRKUrpPqxvjUOX-vQ!3 z>I8H`J?oG1*+!dgY4~TcHc!YP__W}?+v&Cz$jjooNXG~U9oCNWML#47-^Uws9`{lI zL1$*6K}*SabCa(B*z;RPFl`a>ZJs5$pDq_jmENo8l4B!V)7!iXpnmtm_=%#vu%+PT zfoAcYZHt0ac@x6{k$9DU%$jn4eYhu0Rn5L~v|HeW@#eC?8RHcqeYHbzA^k5HpoBv` zGe5q&jB-ukpG-U+GP1FGvzdG%sq16q=9DiJjPBHu72J4)r7ncc+Xl1jzH&PrJZ~E! zK=Yc}9Y}rT`k+~F<#giodCzs~w<(5Q7|jjvfSLn?Mwo(kZ-$<2o_`v(yFozIp6Dq? ze%7BQiRXyD%$i`-l|Ep;BIOzP_;bNe$6_Hv6NUNx_e|SG|1FcSsxhXV>f$=k@T^Cl zhgpB7KeHduubowFXI~Rz+*a`TneT0DM%lM1f5`OFNsB)XpWqpjRjg~{i2^v`b?%&| z%JgsGc;}Qm`)LJVqHKbUS|1T1-Fg@Dw39ub7J;C2fvC-_@n7NiT&XHf*ouHHzxlK< z!e~S3z87Qp1fL^s*sltv+e?Q8KNe93dZB5)AwJ$a zIN!XUcJT$uRkdb%#9#RS*I(mNY4I>?s*}V>944vOGoeP7=b&@nvI_8}OT#ZCzm&`^C+j{6(B8 z@%jeO7BL;3&(+_`ga~DdorQc-uvUZ=5V~{ike${^KYIIuCTlEOFTc&mw4SI9hc~WC zUO4eZP{bAzh|p2ffSO+--ARnY+27R89~9D+mvT^*7DU;^~3~Om>KU_0K|(lR4Kg9AndVMkjFIo~ymKj>!AN@-fQ;c~6z zPI`}Y(iRr9taxAZKlsA#m0+@++lV8Uv$uqkFJ*BZakW) zX-zBfqzLV!+p#rOrhzRZlugQ3gHPQ-OnT3ZFO58px-uy(a3D4_eW=lb3*3Br`Y-!5 z>9zygLD=CL1+{nU2Mf{+biyI4n3N7qw-oj{Hb5$gA+q3ma(ZN!Aw#}U796hA)_#Lv zhAn2V9(|q{JC6;H!3f##y~~VK>s0(PZSt_jLJClr${reAcISlVWF%%Mo167v1x;zHAsoqc=E&Ej4~0*u0;kS zn&e^*SXf})tHnnPk5eA>Tbe}*8p{`x2WnWv*TsH|O=iuNY7sVnNh$+=_k;RL-B+mt zu{P%wG-a2AfU2PGHa?R4Ri@9rGXA=qxti9r?Mpe)*lPw#ZmBM6E~zHe{*F21bD6LH zPqX4F+2K}}-ywOg74ugT#vIcn9Upu|0QPYaGwt4;bb-VJqX& zE%mV3*_~TK^lL4hv;ob5ZH}qavM!Hm8pT&6Lug+Y@e!V*>`wcEEW_FV3R^|VmyUB4$j9rx$e&o%1>Zt6)lPj88wMM<9TA2d(#3Y|W1OC**@ z@10rK5;)PYc|eOI-5E4X&rYlvSEZFeM751?FSNl+InCm7mJKt#3;M;HvknS)vqf|P z9r;Uha}22Qg`XyC)s93tWb_ut6@Ws?{ePtnNS0LifignQ@Fa464BIRQ-A*o_d+FeC z0?<@SCUgt(ZCAjGx^O1YfCa?HJwMQ`;JbV|_Xfo;IyLgxBd(WOS0*MWkE-Zu7yME3 zMxvM=gOp`hU4yqFrcG8Y3o8Ir0j9Wx43gvisE`oLtQk10$#1+R(NB-z;bz7Eh);j} zyJd*{Be3>7PTALzz%4t;!==Lfp-q$|J>}c*KwJaTvDeG#rE*K%%{*~*59H~9UvONF zr{$1oCj9Wun98&6TkciOh*L`uO|!F!F{oL2CTp@C0N0;DE>dFn^-SwpJTrTwa<%~3 zaUFlCh4_A7a{c|5)%6Yp>p@U!`i0<_U9M*4-Lv$mdC51s3c+ZFDf9m2=l6^&otY2Y zry1x!54XQY6N8)e(j}ZyIgpCR&cg}%c+JmBo>^jmmUf!kF0rY92$IXI^<}i#pf+l8 zPzN%kFf~CM8;@6oDe_AJWol>Ah*DS{v5%O1!(=uu>qcpgu16>T7wqlCHCTU%6-T#G z_zd6(!-uLTtT+;sZe^U*K^3kS6^d&PnuTZ9n=bA9XTH@zgW3#YIljF8rMC7R;1)MF zHdZ|})(#jE)<+7;*BpCKEa$jbI_{HR6-g_6T!0%rnmJ9U$gBtnzw!ySC{QKxany5vkBD1vQptpV1JEp zJ7#U-8pc?xGaD?;<2Jtw7CT%|(Z0@o%5dK}E*7)tm|&l}IegzP9p;*kCRE$Ddi~`c ziC(4xioSx1O55!0)iY<#JQ5O#0idP92V}7d5Sr8y)U&(Z*(QIUtntaN0a)k zWBHp*`ygij`>7`KL<{gf{4x1?&!C#tkNF=ZI)DlNwkQ& zw+i+;=a={a5Tq8($1ne(wNh-@Ri^M`wn@~XsV^Xc3DDQyRU*NS_g1)M)2}spd`-=J zAcEXTLWt<0wr!zwGt|LyXxYKZmNoZLw_el@m8YS0hlANSxBjKh;*Qb3H8W2Hh}XhI zL1{WpAaN`Nr(EnIoj+WV|BJqs!N@Z)izJR7(&-cUP=n^+wC3&H7VCYa0{)mKe4y$~ zf}}U?1~Mi&wzms1nFrmz)ae0p9E)bvv;6G9>zU;@cuU3u?*H9OfCE(?^BF#G_HPES zM*4Eyr;lu185tQD%D@esQ`Jazg^Bt8&g{gm+tR^7Y?62%6D zw{NE!iSx8%K-R*3*2qT9Sq3n-mU#Hni|z4Q@Qcod>awaFvaK5kAn2%p)yF;f{L3>( z>vOy`eS}7rd|%VGtG2LkcEpo`zj_DqPf|mpU~~ zz}Lmovb0OI+!lhZG_;W&v955ba8MhB104i-J=lX`(T?DHZ#bK%6;#UGgMB7IDF{-* zSSST}c^=60b??R4jjEt#gzPk*UecOPp{L`BV5-T4^JKRin>wuI&4y8_kd?yr0m4# zUUa!mB;pVG)}v6*Fx+jBslzWC;LsN|7x47QGrUcI<__bgsJcgKf#0D98Z~XbtJ8wo zl-CQUP{LMsn-8R0NC#glQEOak!RB3?v$Ye4#&^FYc6a-I!n z$v%44G32l|eHyKJT;z_ows;Jq(9aT0qYTs}szJ{iB~Fu@eGVKSLPVXVK^@z^)zM>> zHeO6WBYAjj;WCMNiXM96rW*3D8&lv=M3O2SIFsXlbWIOoi*>9AsT78c#XSlQ;3`ED znQb=?$nG@vJp~EE)Mowk6hli{W3w$&~KEaQ$w zVsypBQ?7s}k_36kQPQ;1VHyugkVi#t!8{7!c*ZV75|ip(*>V@LvW`M*i^*OiQ+a8n zIuq8>z&PzIQ!aY&oO!2N;WCz#y9+3t;01^@zND#kfRWG6K2Tsk z=cF0;(js0;TR=pBR@8z=ZB(dpOd(O!x(}NN$#;!pPCUu2s*O%pn5Xy0B6>6j5r(dl zit9)vE1i=Sk+8fQ03B()DPN;Bn$FAHo&-1AQ5>##nGh#eF41^*eAl2^#fA`-1w-(Da3uk5}@B2Kb?6dbi%r8noxuS;ChJ3%J zU0AvHaKBe`L9!DcC=Pn@+S)s^+Zk249GQhW29asb!HkB~oe?P=lD1?%3e8Q-;cg{X zfW7>6CT53`VB(UOZdHBzz2vjh=5)TH(PObbW1f_H|B6$jldK5{Y2gs}WGJNu95d|D zk3aE`xGHGiUkiVgqkFV^%qHabD72nYE59;M2kjGZg_C{OZ~*!DR}v1WY7Z~6YYMz+>txu=*jDf)JEs|9k)qp zI7PZ!$Y^N|`bfrNo0J3SpJ6={e5dU;OBtvI3Q4V5{;g6ZV<_F(OY=K@6097EWX^aI z)KZ*F%6pY%#V+p!`meX4A!kgeKH9$jz-Qh5z|6`Xn74S*FS`tkr;MqHvEAhgacD=Dygn-`b6M*pF|wk>Rj3vg2~NSH1EjjO^Z-cST)k- z%+N!oXl7&_9m4EOv^)MXp$*`qbQ~;`GK@yDgLHvkyrY5z(;GgC3@mf7k`AkGk@mgy zqZa^1n8m<_hG`2ZgB4f$@l0L(gSSBELT(z*4ZM90wzjbA2QmNw4IMCiJ)2jM(7U11*j8x03o0w11*66jvE>+qExvqI8rpOyY|UpZh?^b7u9H zW2iFhl_wFwO49iXfF#r;tFplP|k%5Ke z1mp*ZJ@7Ehn$Csl2vW}`%!a#}JJD)Ts5 zHtSCGAGngIUaxf1-9<01EJR4xV%00ZmTo19+!Um=%a5Ok%($$q9e*hraT7nz;Mt|B z3nFyfJ7BN7nr%aV{C6@$lc=k=*-%^ge&vqJIzBF90N4;;lU*pcbTF0}uv%V_uLctilF1E-Ts zIGOFDVRnzSc(3Z}z@#fi)DI%I)hdK$cp?kXdFB6H4L;yF&?euFv{$yfw2Lc_Vl!h0 zkU^eQ%aT<{0QOYVCL#c)9{>4ps?6iRkLJKXrf?*qtwKF0v#{<^S{~W6GL;{np)OX1=XcnPEuQ~ggatDbp^~!(5kiwu)quwpd~>h z5PFG6_gWtJLVwC0t`f@1Tp^N`mbTiE9iyY8oyw0aLj+c}$y7QB%d>sYr{K@+**+)R zf8?LwPL`_X)8RL@sw~OZpCn%=(S}Tfm8_4bCkhK1Mi*f6XE$7MJ&9u7Hs|^>hD8I< zM7_seojSJK&sfq+#{rPwjm*j3dB2hmC+?q})%;aow~zb2{{szKTe~N2%51w%6}KKz z|KYA7tPbYX%PT7#rHb383|C<+cKA8S#$h;?rMja)eKxsqvud)RvE_CvhB!#PryJMO zgI_m&XexE(q_yJs|IS9UF5RSEYMG`O)NCT?Hnn@gaCaX$!cBRkQ0noqlv0zoLi?FR z+P;~RA`bwG*fk@`iU@0Bbf+jmSjmyPIR%@@$3-Tey!&T~3&iWp+75NIs3$vm{^D!e z({zLeep5o84Q+ur%%I>@uv~9?*&?&LnN!}3j_Li=BB$G~nOsn>=Z&naHap*lNe;@F zYGW-ELYjNdNE5B&dig$<*jE*}`1uS-=l9(msEw-#t8`%Ws&+PRDtv2NaUZ%Kuzo?c z;=jkK`N{Crqke%SQqlXIEU>le=fcd(Yc;6Bq^81LLk^;d(9#uo+EZbHY)A8lCR@1y z&4jG(O8l^d?tPapBzVPK;V?>#y8>Hl-NcB4&Bj zcG;3xvn}jcymQ}1GbRk^hJ3x{I`y)28^~i@B_5%~Cy|Z(jU8V*@K_J`zLoC6$*@Cf z_>GmKyed}Btz!{=9?w_s*nqLqVl1Axbrt?x1vZQ zw{+7NY{+a6A3V6gb69_wxsQ-J%>eT5q?t^KNkWq><_Zb6+o>I3`}KVfewoQ zQYoE(J;X60-5LFKpKhSh%#*BY$x*^A@4t@x7P_V1&X&9U zb>M-0q5rOJQT~5!_FfoNR;PeMZ6sIyg{>a}>n9cStD`f?QGMUd9gQVIstG=3B;h-_ zOH?v7U$mHBL;3W#emT7uCC8P)iIpIs=5JCm{oVi!bQ%WO-ccmZWJ*b1pqfVX0^aCZ z!N*nXH+8u(A+@-lRw;Vk=IeP=rEsN?pM})$XG{tn0z?E9a0p8lMsrHb7eMR!4Ii>% zGD~-eB=x0d^?2*~nh7Fhy?MWGIAQvP|F!uuMEOt56wg)sEp|PiWO9*VWh*#09K|6LBwAz5t_R7*Xe*HQI%o0&dRFRIqFbBEv1(vgF z{zxBZGxYv}RS0L@8(~ySxD7@J{&nwZG1TmLdJ?#~_>;9uMXK}E6O{t>==}Aw{RYM$X zYy{6?xU6$Rb(YT&qMvrF|d2to4;D2`y zaMQnwjqu71P-T6@1yx3udQ^P=t!4ecVhBLCoK}B94Ls=+W2~<%tD?fY9}&F|>!Ur@ zMPk>D#{8=)k&RTNb@a=13*75LiXilslmbw!?J>{#vBbMV--p7=#3S&bvx@_+N zOCQ)2Acq#MzAP*vZMZM-1i#$BZNOz4Wqa2;Q*ANw+|4_Vt1R zcUCGoKYKs49lE+;o|P!l7}i69bMvjt%e>tDIoS^kZhjBHnSw{M>kXo}jRsJYjq!T;jzf zhQ|0D#XU#;w@ZIjS+6=lGHw`PC{R>=_OyC}8%cZj8dpio?ECu@mLugr-MY=G&eJz8NZ@gr|Op-qt&OZAw^=nzIk?mNuJ zCXuA+4C)$St*YqK+D*dxE9JitXPXOWmiu0e7W3+}KJYRv&>bi(?X{5$M8$=T5-PUdc4<@E=wd}kaHo4fkVXCGq~E=G1wCO?+0cIPhPF$OnS8nJj}5n#LK41@@hR{Vh}p@i z$F1BRHMM$NK=96JO`4RhVZ8Cp06!q_f+0-Fur~k0V24i*`YYdrGF{h&`0*o>HTgKR zq)R9i3s?w&3zwXn+~xm6_Gcc zK=*E=cuJy1O=t#v*Z*^E0b$XFc%Py|Zx3@eCJ+B4c>gGkUCW6y@H)32Q*-#ArA)CV z$))Mw>WiaWQ)W$#XO!r2HHnXQYOcL$@Q1P~Yb*CEx7?8)5i$H|$H#Llz+QuReKfQe zL^mKr)aDc|N?33i%Oz3LSr!<^?rxQcO8FAtj4Mj@bd97-Ll{ZC=W#&aH&9XGU;mMnd^4$r%ymn z=!F5==D({G%kC=nsKlvi^B!)Qo-@~)rtvFFl|*J)eG=G;#;w zr-Fnbf^df%l>*Q#c6P{sXB6=cAiNb-%hhAEJBOCtVScyc*TCUt6&a3>ZKW?tserpQ3!o@p9Lpu(&zT3#jP7$#!T+)Qf}|~zV9otGkRB;I z-mSM2?2c;1Pa`d~I)z{@p|6`;Y&!{blvycR;szh1SqQl9e!`BIR*D6x+MFQT&B_CH zmj>RXJhR>KE59jY_P0LtxHzj>&Ih-ZHk7 z1IYNPtGB`lk^%_&RC^MGRx4axA{Kup+(k>km{XsCYfk*PxllahM0rr3BWkrU?4H+o z!Nn2hsiU7T-?9%}FQhY|Accw!_zKo*y1K6+y(^~_5ND`cQH+mn`J5^1W2LE9W7#Vv ze~TdaM->;=ic}`I8`F1RzGzR~f$5#zQ8`+v%O}(4iB|UDv<1$8+kRX3N{zn4Op(bU zpfs$9rVJn?Drc0~8)q&JHZdBCW{1o*AN8E-IA+{am342h8KbB8 z@W71XSW?0K>yG&D5gMYmnaAqKydsfY~XDxSS!wk9AYFEWi#yC{9&ztq?U zMe)S9iYhU!iVWp4rDqYM*Y@gh>sqv*&o}c`v1dmnG?>P)4H2*DJ=Bv5w7Zs2QAwbnkh)f3$M+1Vl_?Z?)&U4Lu=fs@+*_90uxq^m$F>Ye%> zns?`tc$eqdGSAP2_d`=)><3jx)oP0qb71JQ)}?P=&-4t#x{DL2mzrw*Kau%u9r--? z=7*-ss!>bISVyLdl z+Zp#x()~26?!~ma97c8HiV&Jm>WRWe_h}&_qcCgG{6?_`c9-s9dPy;TyHbS$OMZkW z8_yQzizz0{Vhc8sa9Fc8IHVBF{|}R5wk7VU_@Z(grw?JLq&_*>PNGha1s=>F!2UYO zAT0{(U_}cEEMStVM_X9(0s-~ezMGAeRu2Yhy0yy-D%rQ1evLl;UnK-RJZTbf2OCpq zT<#z~Nfzj@45Vx&bND5MR_EQXG>^^9eG)-bx<+^>kX%0dWR7dwMDNd3nqOl_deIUD zctLmCYM`(QO>H@3oc_%TCNv~h92oJ1RX8ZBX}I6WqAkMhN4~f11#?b00hH5FO$eZb zFvwafENZ!&_T}aox$-%OUf~~K<=?eXDm_=k0p&FFoGFbebP?;lCad4tO3CL4?)$6D zVGO5vl%9XUyg>Z{RmTpUIni2={NLR%A&4u2jBPr2&Osd=+o0PPuzWsG^kk@Ij-B9} z$*Qsey>jCfc?~0%LWK9kYJ>9|=__#14k)Q!$xIEx7=lT@@2xV)&rhv6od^y)QxA6W zrh-_4_Q74T`oTuh=-65DPdb7Yg#7Ywva=(8C6gSZ%ehN%Wr)0%e(C5N^szxhY6WhCTcAcr z4Pa-HQm0a*$vDe#dCZ{1WMjKm5{DzWwHaN=%Fga|!b6u7LFOz}JkQn1qyKh5SpaYO zcK5PYNRaC!K^uwso;jjjU}rDz%Cfm72&Lgz>@XsSux5gt>{;Ke~&ot88&IyVEif__!p%orp{4p0ovaaq|5U=Clp8n40 zr~?SDxun3SRqab znkXjM1q7>Lrm@860UBTs7>*oGu$YqWL7k52@6_ADgEcjBhFOTJc6thT5GxdrM!$j< zzuL=a4VWjiH!vbHD4ln!&W~)=w-vlqYc=ZDbT?di{#0Sy8;qrM%0IV$J)>PNc< zHAj154W;njK9zDy1({{DE_VQEWqME@c~C)VtZ14-GIHyC(?ZD=EiQQL%UF(6pLRUK z@kWtv>+$VABKWtB36bllH79>%vh8y6KH|2vY#sKA`4;p8hIS9Pu&jacqh+(@JAXi! z1Img6v0MROFlE0Qio3SIwBpfc)o_jsO3$eL5Bc&W+I3TRGwdtqvPdF3__Z_NzYG&P zBg~CqWYYEj+r|r+9IhU+r4+l z@j8^dFJ~DGxYaP>Gib2@qlYROc$ZRIigy*;gt+nEGUd3puU4>*>xuvLPskCjR?k)w zQktr%?qNuJzs=O{Toj{HCGh?rA-Qj+jOor;<37tZZ14*5kzyyz#! z+1BT?m&k{EqKvVai+6gVyk{&$h=F7C*ERxb7uNivG}i#Goxn(wHTqkdQLqAquyOCmZd@Ikm{PWz({Lc<8 zL0tBF>YI>}kkL5J3@94_6tD1HaYWIIR75yP&Ic9BIrBlC25xF3xuUNJuX8$S-|t3N|5E6Pk{33K;UCbenVb`;4oo#b#!5P)0`e>r zX?9U~m<|2$6MiZjR_~us5|*vZC=CrTQlj_EcSTX@%KEY@guWyar^>_gj4fHy42Sk6 zLc33b_m9nfZ?3t3M5}RW*sS@@tn5$R**^AhU<>ihe$VYq3n}^3e}jZS2z@GHyPGfN zW2{}Gq437>Ey2%zKpBtwT0!#!*To3wP+`PINv?09L9WT!Xl*r}XywhH9Z(C`A2?t2 z2=*{QPQ6>~o-NJdOa3}OXKk1&rq095JJOnT3AYY^&AbROp9g|x#%%Zv%Wqm-mwUNa znpUKvnw)zYN8Gf=^5@I^oD#++%W&NeA00MUUKgZ{hp{^QSk`Kr3I%7~(KscW(9#+D zn60LDu)KHZ0m!biv-hr15B~2-KYvGwB-d>QpuB4}5AVoO4;o#zIU)rLSBFUFgpas< zdlmf~DUnqSe)EA}E|WDTe$p%Qt^U!57w@19X-~7F?=qHNRO=b~nL{3!G-Gx~@Pm!3 zCF=?MuC7&5np@Poya#yb6BAX9BkQLHLuE;~mIe(317%NL4IsNXp49e;{yBiS65Xe-IolvHMaR3SH+_~3(N=X9 z8wwlmpjf)B$6oFl1I5EfDDNu=98u9VlNwGa>(!RKcmX7>?flUL0NWEqtWpUw34lEU zTQcpN{YZD7v1p?z*XwCqcF%R+9{HBWivFeE8&cF6e3AUa+O8!=2(`Bp@mh1wA_1Ym zh-hTMnxnhLQEm0>!I*@;awb{B0fxLFfopH*HID5GTS&AVmHy)S%F*XPSPn=+PjHK9 zoRxp9qtAY->D#F75BYB;v#|t$b&9L`fO2=Zde{WUtKXbxO4$srOt&VIHsoaw4=9)O z?JtJIU{>(Fx>{*^b~gVnY^W+9kxWre^T^XFaXx6&z(>F08=A+RDrfRgqpVu%r$_x$ z8%~De^I}Bys9hi8T3ftVsAZp&W~(#@3C#ssPMrq@5jrU+LmFrn76jjam@L9SpOZpU zeChwnC7`{3nX=oQ^Fjh9Zsp?O`jOiS4ae2T()dGi>SY00oYa^(mo-9M?--0A#v6(7 zwP7P4LE{7%6LUEH;H}#%g%0tK>Bjo1hw;53lz{??Ve5jljHPF0=_(5u$q!N1vu7(E@FAtsDrV|YWgcxmYWjbw zJ#wq6$i$#^7vu9z7Lz?6cdXpytPy)V2OOwUBlr-|Ps5);m5dr>*bsOthJcD1kQwXaq9y1K%;0~aXt|P@_ zTD|ifw|-IJ*24P$o|h%`Bb$HI&>Zj!|~oCOsYE=KxiAzq88<*=*fSWolE+u+44= z=qvC)2U#+0p|rVnR#E8g($?ouh5tY`0OwN!4uq2vt_L8xT&{}5$N+xpT()X&>L*R3 znJkDSkgFF-LLKpn+!{pNfJ+^TJZ}*w%lFO@koa}*5%Vw^u{I?4fGa6jIKU5+a|U1S z|9V+jr$Mw|WTT#sSqgxz;B-)n{U{Nac_t=k_l}$E;07h^O=I9;cm;fb!jGSpT2YWClBMiqJ9K%`i{EurE4N*d?*SDp7c!7!^4u5YTZ zHph>v?;A2~ zAoq0&9Ji!Y2VShXfivJ#T}wnP%E@RrHAKvr#Q7#(8UXfQBU*z8uz$EaBhb(?jns?V zl;N>HVS2~bki`6f)`4_u-4<^A?DbOCijZ#AMkh*=_W!dFs|*x@Rj-<&%$GFUS2bO_ z1-9L_qZ+H$?~7(B=qq!)R8uZqZ4@Jx-)CO+`)3UU;Nc?T_%9>Bf<-hgMZMhRaJSM_ zdRG1aTIGBNsI{j}vr_jN%#c4B(R@E`1gUcz&e3yT<(Mt6OaAKRljr*?JHTW zW{A2YcOoR>QShcJo;uQ|osCoY`!dQRTW9y9R3V^)r+5%&;hV+TBqJL!mPQ(tc+-k3)U?T|+9OZ>|r%AYX4Oc?znpwCclqjWzNqHFv1SmDqS3-UD6D27qI z3K+4Z8i3DLw_4mOY|ejUiG)5gVVVeg60avb#pRz*t$En(|H{JXJUp@Scy&!o{DNUy z&}dq}ZF!$?DH2IDOJ4I3TMAwLo66&FD;7x>vaF?TZh9*&HeY1Ew8b`+ln7ECMv;ks z0t3D9(zaCqe7!&OjE;4J@Sxmmgl`=hTZEaMUpxl=aqfP)|@<(TFYHdzH!ib{EotTD__)Ldgv3}MT zvZ(hCjg8t44t36qIf|r*QmvaQem$fo_G(;234pRf`{6Q>yJjgN(c_CNiTqvoj!rRa zWsY~+>Dd*blT&VH+EV9_21z0Qcl~mjDcpWWF&{@4H~(tY*jLu?Gg`>-xIJZKnSwbN z5Goo(UEU?}PA!}&xzV4hLU^xX9+cC#NC*@Tq(Z=iXvtg%;`ZI28;VKi#fg?ES42}D znDv8s`|S$`;UvzNL^6y7A&Ur?X1)&%FrM)@ingBe1hZ?L!8z-UkK@W;`J(W0fN~sd zAKBnm4S$*#=+XMS^5bYFrEOoGiMipXmsho;N_@Mi*iocwcC7y6+#*;Mo(4k>C#Un! zr2JO4*ncVieu{Aka=phkRZ4tMy-zhHQr6U;aVyrdga4g$1ygJjjpHYL3L=vjYtOrt zoY*rG8n`2UJkY4qf%05WHWaz9V^%p+M%}S@B~-JJI$Yk)T&`QZ0^B5P=vPR~Ui}r$ zXU{EzhbYEy6HLuvi35->pDjE@VWKS-`&rU!V!;>-bQoGnOPo-rtR<1wS7rx30G{fq zQ17bHf;eYs8_rJb`=R(PhbT;g$CrU01n3jEaUekg|H=_!5K7fKM%^=8Cr_Q&AnEOp z_G*r9^w-A{8^Bhs$}RhKZIyG9#NPHe=$cGy4cs4`npIcY8){fkN=D1i%{*Aw`E52U zD9*wqa8b1!`k((?Tc9%mkk=yG!@-5Jxs#9_K$xTM&Y&4YnTn}o$N||hi%(de*dw_i zl=ULoDCcRAb;pKbQ|_u^O~zHd^{CmIneSN{$?xH87eZ{>Z3!*i0XYCB0oezLAH*gC zI0bNKNY6qXbl-rY24Wa!9v~S1Ax;Z8H%e{*2-aWi$qfZDT!KAGPFzIJXC7w62V(E` zzD&4`< zp?!QV$_<^&X06yXv$Pewk1jXl720TxG6@wxJj0KD{QvPpnEaN>YJ)XRm#pSb==g=3!I`d>rBh68|Y65baLh8B&z7A91L;mV3z?* zXCc!@$OqC4Dm5gGq6Okx5PP0nK^fbIwZc6DiaP&4bWFVrJr+k3GPfxpc7XM1BNAKFupaL4&rP&p|JRA7MKr$&ZdhMIZ??$0=p?sm@U+8co zMK%tN$?_B@WYUew|7Oz<7vyvlAxjB2dP_#REly}`ODq%@4>G6h5#3h%w%imOV1Af0 zxSej|qDW|god%P6NF4OVOnXNuwK^nH)-yGfYN?|eH4#eZQQve|j;D1=dN~9@iO5tU z%{=Ik5LTDhV?lnlP1U7-s>zIe_*=ASN#A7xkngu%twr8S4|O zqm}%b(G7SBF|PQvy)37&1GQYCr)h>!G{xwxcb7@E%WGZu%uD3|9{*Yr)6(_KjH0?{>eK|#eD(TfMORy*rzC)AO+ZU_84;!DO zXj7}}ZJI)uRtN*X#z1YZF$qJHl~0g)zbSR3o1_O>b~0FVx5Ceq2@GE&<+jR>yH?$e zPY<;$7W;3&YaV?MQ%r`QXIqp#gFaG|D%1i~!zYr0Q&XX7)z@^lt{c|lJ21{lDoSl` zRdSlAL{_MkPDCwDH2i2x=!&SlbNUTVt zWgLaf3V#nk?~OEVl+M(MsvsP8>Q`(i`QRbyd9e8fQ|XO;ncsp}Gk7KxB1te6#gXPpoZl zzzwjAaPP7^R)3P3KIa@R&NbvQi~jK7?SPbcXh8Mtw*!vsq4E47NbT9$Y!Mi5oL_nY zxvc^oJFr+iss{rNx*5sFKSc)lv=v>$4{ zsEs-j+-jp|%z7=mnZ4fKlY_g4jakq=_KW(w?FP&u8(;cMo@MCpt6qyfaLHvNNb+Qi zgy01{i6IXlOl4aqvO_`Qq^CW5psce zt^mmaR|UZSk2tRjhS>*r^G=FV>$g(9!f=|Q#h@V)rs6yJ`LRjyKXi6v9zftEb?HQx z^MSIV0aqghmip%)SddmKhxOq8h}J>F3Pm@w*~*4%rIjS2-NWd%mx+9HcO3=_Pd!&= zNq|Xwo%#n6i=Wh2cD>}_^vYXTxUbYH8)Z40(uRKQVuC(MwOkn5wUU;1^ykpNm8=;) zAq~Q%m`SFPK}*JFbI%Vm7T;ZUU*aA9n1%=jIn-)xoOx7x_;yu&SqzLJt3C%ewiHjR zHv!c%3_|~&wi%17m@oC&7GY{in$v1oqv=v3&O&bu@>|#+E(=uqY2%MkQ;m@soT+uG3v3RA9uI>pw(kqlx zluvwFCvT=vZ{C?(>b->K%Kb{*p%w|d&h^0#HA7*l&DF?#Ml7Q3=gTBm-hk^(;LbYa z+R|i3irJB-%9Q@IF=gWtZjQj>A2*tk?pV#twpIPS@U?1A4$-=6PJ`^{Zmu0MvAbfw zy@Tj0B^Scr)K(JMgTWq`+dGEWcWit*uDr;bs};v=m?s)X#D)ZYc>73bur7!s6FM8) z4c_yta5wq&M19OL=+#-{BOMzzGpSJXRC6&t*A*)KUhW1e2QoWznAkVN>`=fWwI1+9 zOfM%3L;#UZ-Y{y#!#T4lEJ`~&>vEJ81>-i8cbp_lEjVyh8|Y{gYnHYi;T9ny4hl&K zcbfdGgA-NY+jUVjeYsx8Fq5wC+%)eJTzOT=^F09mz>kiSVdYFl=V8vcBvgEgK-@@^ zf{LXAHZ?#y4*G~m*Hb%kr_V3{fJNj>UsMj?x`0mvWo!rz&>(2kH?BNZVQlu?lWMQ} z5l6pzTm=AT-Z1C;_wS2T1LVtnmFb`g9(r@Ten`hC{RK~@!34)k0-N*p4%d_20qq)N zP%a`d8i9_sTy-;q*E}-?aq6eD(=EP9aobz?HUWYI_JUFM{*cunO0uL|O+e27QvwTn z-;F=tvn$f?+{3|msjjgUgsuGD(112#;CzKqzD9Va0G%@l{Rk7W@Q_8c5fc?i>_{xH z$c%_4F|OXKG}>rwZOy7l6$y`vwO-$K?(yFHw&IqRkvL2=Bgd`FzhJ~$uSZmxrWN(B z_gb{&mvr&4cXs`bUnsSPl7tE5#{KaNe!sh+$RtLp0v};(u+kP?sxzy3^ zFRKBbF#!i+$O-)a%2cBWeL^V4Q8U_%%}Lw|?m`SM+j{Z{Vkd0zOZJ!&hIy+Zz@0z? zfL_NO$95U10CG>DovklBFsHTEp0cD39i7Q+Mq$_E=xVA?dU7%1l;bZ}f?r72o5B4hlAdy@+ml+y1w;2EL<~w}a zzdRu~gyVoqACZohy!ftp{mXWwG$ylbi9eb%D-KEcx&4b%`ZMbvuc^mJIC%2rs}rY` zThHJuQ$7iuz_*7Ng+~xm!zBx#!J3&7F#PMEyf>Qi(r|{DTiv>0mtla~a_??U_NNs8 zHx|7*)Pk!TUuyE=Kkk0{G?QjH!+~f3<1NcK9&HC9bG4JKJ^0`OAfsQ_Sp-KBdO8b^KA!2L_g9j+(Z_$IOVq?o#e1 zHCl?UxXMG&xofVCm9<1IahUE?&fl4TUtk$jilpnp+^(>LT$D6~Rv3iAyS3rS@Gz6m z2^kP(!MY>5!?-X_jj$=ol)=*LoFco)GL&54jXX z%=osJftih&C$D-(8f7b|%8aF*xmF!K%OR-nf~d#LXLY=@SZBR?8}YMmI>q99s7~v7 z4>wDH9W4F}mgxIY;g#Zc8#E}E1F0H}K^67)t{rrph#famHAzR;aW3Jf5h#k$8lm zI7v@f;Swl?6$Fn6+6bEVa#fe)25g%G+la9$g!lICoN_xQ&Q6y2Z6ucnL{ih?z^dB z7;PQL?%Of>Q)g285%B~V1R%d=-5z~lLVON87z=4VrE|Dx-4p)C(*?)Z%@@3Y(PmVV z4a$XeZ}5;~k~NT@>WhBH4w7`z4?+q`(zGF^WGo}bWhe~t)wlUdSI~Ygo-?)CMLP7L zo(s!fU3S-AH{-jxCU-!+lx_$2S>ZQaQCBvw!RS;WvPX`uRo*;G4|YisSOI@;aBCB| zDP3ry%LRm*_Bmn^W7d}$jbcBo@9>g;6eBs;B3ZypTMaMGcmBw@U%6rC&QqfWeasDH zc@}!hM^2ru^J`E<+lC?O*rO;H+vRhlUzQ@_Bcl7|5H~%m2Wb+cS2Y#(%oqZFwWZ_@ z`?^0gZ~PjiiDqH-t8K{o*!^9F*PW?S>10#b4IAM>tg=_F^VZ&J+bD0I#&4CSpkG9n zeo-V9sG{+7D%PT1#w^9as9+>^L2mg433NGiU1R48cCiZUSJ8chlPqhEG-9WAYH_}S zAr-haK+t9V00@?Lw7|0u-%%q(U{Jni9?m^1%8$mUiU~vPg9nEHzP$AL#-AlmHwIP$ z%vmnfjs8{|VVc={JZo4fKTZ4MfXyYWzy68UKHibMhAzyo?l8IhJR+zX9d{$-05|TN zLcoEQ>#Nkk80HJ|wHBApN)2o4f99vFY9uC~@ng*WAz-A_)9Ez{)AL!RCE}+-hsR`O z+Dm?sa|9m73kUE}bAQEe{adFdpR^$2uj}aIOg4CC-g7PLy$4jhg%=D_r>kHg0)~qI zw@6?IU5!eF)Tki#99(1vWS5zDxKQ8bOYXbRfoO0K^q&4zLgHCq- zEU$jGU}aIIGS*MBI;-)WiBpHrwSd461`P!{`HYQQW7=!Z!6q8XctD>bU4s`h1n9)a z66a2ElzUW99d)B2v7s8}mKKo$D;r5YI;sK%A{i(9Os{$c{j`ulXC#TU}rwL4z)jshVhy^v`dqdTmNa5+dZBM}N1ZfUy*TnB^@ zaT8W9#PMbMIFy`YpgLJTZg#Acu6Rp?A+oHvXYP_x3|O6lCB>kVOaik--L|yZ3Os0? zrC2b&wY5c4l;HA&-V_vxPo6yaxd;UcbaQa^^cvDvm^+s&n`OM%9;pOHE>Mmq_y4Zj z{?)P=i`U*qwHpm>w8$;*k@u10`D&9eT4hSPX){7UHGe_NT9_oHJ{gyoF4dJxoR=@Z zt;P9NL>SyysWFW6C;Ul1;>+Duz2P{`)+c1$wCi1iuQ$B3ISr9C%bZUk-nW*P+^VPa z-t^4q_yI{7g`wT!#d3dbC)(TRy~1HM2)67o)aI6g&=@?G(aKw{_}hfdP$>pzzhicW z(aa)~J^jzd02ohK`x;gw%N^pjU2&Rh9*@JE>h7SY?4z@ZTVbb|XY$zX)#qKlK^tdY z{$|=U+>JV*9`D#uE=BuNsWTvhyTlb%Ns}kts~ys6#L(Koa!k*~1{IE^8PM_$992C+ ztx3^#na5XZCB+CKEJvjD-{&u$l&cjfC00U zIg1m^VY=lJ+u(le;2zK?Je=)+2T0<(cRQYaxPyvm=$b9xy!KA@jf2x2=66$!7h~D* zW-*U(ciQ=f=g^5iIPA3RS3|Ss=ySzrU@ZYUr;Jyjmkr$byWZ7OJS$GLwnx$yg+ZV| zV?lzwYO;5?csTMahq373iK9>3y;Yr$`|7_w+NRR#Ef(H0|Kpvzkzi};r&a-B%St`} zEQFl2K=!)s6%)bmQ8{-X&e8bg;A*YX-#NS&5#g4S`d^+(a^&{&8Si7tFryE8ZNlaU zi2Oj71%jez7AA1|`DtXi#!H1eOm4iQ2ajc(Q1wZ(lwEFok1nx!UuPCA6p`jP(^?)c z-8c1z=Z@HXznVU&Fpm+O)cL9U*Lbnnc|pq3yJ6#Ie&#j zNJe*Ys}@S?&0dQBpmxVV@Q&~yc`_`CWRED+xSXHsQ)rMl6@-k--PFnGz&$`0`rbod zfhB|dY3W@OlOq^KHB+ykw)lU$tg>6VJU=b;6HW_655mrnpGLOkMzcYacb0j&k_)O* z+-gBX27%+Xm^u^R1pi+UCc%opZ7Iz6A3y$v-@tbUYDMW{+?ff8L&nc!DB2IppQHV3zxmZigdW=Q@u>Z^gJ^cl-|DzJ^dY~{@LM6sqn-e+< zK+vJNwf>HveS!KZ;-8Q+SlGXPBCO^5>n&dOe*8`$)J?A7!hS`tfAA@x3qK-?S)bRW zDdz8Q!{2Vx+<&>1%HpU}^_`h9 zCic%?VKLu7yeU0*o~3H*^NmF}{2e6?UVy`@x8_Fm@ykm z)0m(@hL4$m$Mo}TZ#CVkc4wrPUt7n^p*q|S_ohC+8g<}?wjS1Gh=Sh>&bj4IL$GeS z9#jR>j07o5d=h0-uM$E@nf~9QFP0 zrn$ce;khe!48up}j<6*|7R+|jMykfuE2oQGg&k7boXCjm%UxSZh35CfzmciU0+*Hu zH4WGQ=?HRuoD8%M?*?|atKW|YRLe-`WzE5KDoSrRXQZ~s#6()YqB1Q0y^i@f6}T+& zkFMF&M)v3NIds#)JNdCCs}bVn6@1Tg(e8%|r=%cfT4g2sq6yh`K-NcIy{Lo=Xl?`M zSV{IKqo6hv5=KNiSaJ(%qvW$UF_tO4Y5@+|6hdFU=cSds0c!JAP<+R#g`~g^qFY10 zCGRC2w&gk;s}d~cdv5D2`t0)!b29+L)a;55{uEmK*XKIwbHZ2 zJgK2KMV~r472qcoy{2~L_)0=#8pY=|7~{IT@XE6(Bv;5qM?{j>%r@ln5h>~pH*iT{ zTHMdbe=feC>-%b^P@6Xbg{`61*Zfq#t?wYCC~lp%FKiQmL30ERb}-d)8!r?Ym$Bb> zpX=+5*lvLj(to^6XXJPPI1z1qpSI3Y#cfuyZ6&zW|DouV)&}pq8B1;O+8}-6I{<(l zn`=u^$q~dflg4Dx{zU?+u=1w`T6F^DpY};dI9myk#)5g=I230QjMSYe&fdI;Umv^1 zeZQSIkwr5=ZDvO{TPwVp0wqKF2DqK=Y%)FOQH$)JF$>;hvbVK56Vc-jjAq;FGigO8 z$QT#C%FkHMM~f%!v0=ID6o*Ubuuec!>@LaQD4#;?Vi z_;r`QO1N(b70QgVWh<)QH2r%St(yWrh_T##%NVxm2wPka38hso`p25ZG1*R$Nvo8)U&kEY5HY& zhL6<|{i55HA@qR4CN3xa$M5QoAAYp82t@_vKFrz}2ETWpHXa_nO*;2Zm+L8X-KX@I zyqHJrdHv3&-JcXzSCv`jZg|gOwljE~7)w9v1(V`KwQ9d=Tlq|3WS8Q*KDjeF77hJ93w3bpfYd7r6!7}caF zhN}*hjg2G|iRcHdbUg5+uxDgK_ZgT52P^^{0XDv$?@8(HM%+IW<$lQB5p5}1jih`7 zlY+2bgZ2WD_rqrLg651+{Q`VJk8wCe9R5a)*#qExzDWSQr)p!N2?S_$P%HyulNdn; zmxc(hWi07-^;8kjzSy9{&^Zfsjvp)DV2iEYJN*0Y-GrVy+xb4WgJ;(-W0o4r7MX(g z?|*88rk-g1mGfn9npAXKf$>ejWm<56w)c6m2nbs#$|04X*_&D|12N-Cq5A%&*TYCx zWuq$?a|(Ai4aY^O>;m|-F9zWiX!j|DUwB7H!k2WR7g4d#T0*X|O0Ty!_~gtRO%?v+ zSu*?LtZLZIVD6bQZ`U_-XJv+VkZfanOEe>tv&Pt)C@W_fTX|j1wM9%&-95H>2M4A0%C8r%6P7mFmH1aDZ=&L}<5ZdQ1B-Cr1+zo95_apm1Q4#pEQ3EzQS2u=n#)pf{D zU^f!5$rPc39}e(PuWI$HnG7?KV`8MWdA5Vhz&+afSDpEL7yn+K11xjC_qJ)+&AREc z>mPSEEqLNf;U|q0*ZGZQ;A* z8jARErg@F0AEoU1@qx|m@^+Qz@@xHLWDC5BbqmSyV*)}P{=E!In3~yX7vWAs`kh}E z3t0~s!B`7*yx30?jf`~`6T8$CHKog*v)f8CGJx7>RTSaa#V>OIjF7O$Xy8m`MTGL# zMXY+)sv*rRDo#X!=}|rTHqdb(nM#)+nCWax*@9PBE4K;g5yg`OQ2g z1t3mWE%(~Nx69%dSt)322V{P9lRff%1O5&a0k#WwSbVoa=sXu$R91dGW8VE((HFH^ zir*l?NS4Mj4rT9auE@NVzjAj&{y9QjR^asGj(`@E#&-|kC^sZ3E^|;{eJl}S%|xhMrs{KKQhW+3&7rn`TiBm);Ig*a z;tJ?%Ao9XEhj|5{QaxYu>kMGmOuF7tXN91OK7{=0h2?qvVRuONc*ACv;GU}ABGFlF zF%3*m27%e}mF(CxB$#a9TK%`qG{*_`dFjX5Bb;&rDZ~P8^b{T5#0e>s{y-b7Xn=ik zppQ{fjyo})sw=U1V*QQ_kB9{2)T5}6W3H9C*w)IqG;##kuw8pwx?EO?hO^)|2=~z&Y4MqvT+Ug?%5H9g!cL3z_(wcFRv`67fvSj1ZWQ$YcDes3R`>%%Ma;H?u=b5=l@rq zon_g`SDX2W}=al)is2b&^~JHcn9$CfzjjMV8KUo#hxa6VBV65V0vtEKU>q2!)d zs7uKEkQD9LnTzZ&$63&!rtgeAU_EYi5u4v1mcPGXF&&8!-w6<|#L`NCaWc2@U-uY0 zc+DeoSt2f+I{cgoHbC{ojHp1TU>+RcnzfD2|9TB{Kilraq;-v8=I0Fu7v`{UJ4g&jt=s@V&12UsNDWv0F?(y>k< zO9ap~q8}}~Z^NChzuBku&5-9Ozm||5k^cq=%*g&`SliH!bg2x)HQ1>lF#rGccJ0wn z?rV66c2m3BA<1e}okNUEgu*eDgWMX-n8I?|8jeGCT!x}@$)>j4c8qZeW4nxFFd~;d zF1ZwHD2ybL874-NOKc1p=lz^c`}}wQ*lV3xvu3SXGv7DAZ@%B<`MvM+K2JSwpAv>p zQCWd8`K#x%psPE(AhQkYE7YmuipdPGT+&Obm~F_XOz+Q!{#3C|x*isX@T8(oMvtg( z2oKH^W5IeB?n-cQ^-<7%dT(vl@5G7R_jk;RQN{ZaCySj=nXn3({dBmF*>r!gdAptm zpYM!q_HJz-FvAhF)x#%?Z4(XZbR}_SX!BxaeX(rJ*rZQpOkpS~I)yeEUb-V*Y0hZ7 z^gWESvqg_&4pg3D+$yAv58bC5)(rYEKSxmq2~>QpMQc}O+|o*QVQmnZc^X zsBSPbuKeIDPv`5}??k&{P=p0#kXTtWVVfQyV!UHwH>X)&{M&Cg+hv?h1J!F@VOcgO zxhL>eLB^z4mBYGsEvUieGmAcAbckktJ0CI_OJ$q@&|lb+*x7V!qjU;tD=BW$SuV3o z4uv)l^SvaK%9TF%pkrX73-Hx!M~_w$o12`J6aalcjiQ-a53&g1wG0fX6z&%a*QP5V z5(!?5^wDC>xgnjj9!iZ%3QcWV&~urXNA6y5m0_{mRvK8L!AW)Z2H;L8953#fOz*kUZY$PZH~f$-B^W8X4X^!*0N?$x$C*= z?uNHeb#od*DEY)20k3}ZfMf+;r}n_%>r6`N+Kmy5} zmvz#N3ZNS2-y25Fx^@S^v@b`NTv$Ob>XS8nU1TItWtLWV4S8njCxlN&bLvBTZyEzH z%(UU{3+nPERvnw;Bzn%dp{%TWPS`N3#&l8S-UssM`yp3xqDO&IVw)wP^w^)5Mr7k9 zArI?f6jurq&QI6aIL&cgz^DMWVH*$m1_px@L7W07w#Dyybe3bVHYR=X9r?3;t%DGu z)=V}J9ld=`Y?Y?i@`XY0D{XGy6YeokihzP^px~p*ezLOG(I5%dU7d5<60z3A`XKW# z5wmEz{xp6jP`*njR`zF=-}Izz-06Uf5_LQSjv#&vVZWp^jbNU(D>CA@;cSyWU=}ay zDe|1b@;ZPj1`lH>lBuiRE1=lQrI# z`}_pea*8*j^hspwso(=x8Djn=x;~n>Bx+hbP^j%rR%T}$trpIrErZ)vRjh7Fj}pGHo>n`Xr52wkAubxFk zyo+A;=|TDcFf*s`R(v9`7 z^6e$mIk0HqL^4;I<3UJV?4Eqr26SxzV@)?!5P?BXCDf%&Q4rcP8`4ZI+Nk8aZTs1x-@80{ueoV+r1|y+o7q zWW{L|r^-g;QrK0t739c&2P4&#W=00Vfi)n-ugJA%%Bz`3KLax=U}u5}-YvtrGvbv( zF6LXZ@0-P-{V{x^9D*lcc-Yw6x3$idnPWAy}SSm_)cbR>+TNRkkkP8CR zb_rWlVC!|l0bD=&!1#mpmkU1v(c=toC{=OFrbItKe>~6ZweLX@K&6L65&>0s>_iFE z7K%CAxz6tdk7aJB*JPv|2t<$=G4w!`Vno!sB7df|Ym31#rn7w>i*lEoH$aVwI;K0F zG;>$u({kje(k_{`B*g{XQALNrj`8?WJzwIxql zUj0j|J(@HrdhMtE`eCQ9o*pLQ{2709$qW8RJdui z6+59FiE2jkiYsO4{*nCO4o3Nl&+k1>vX5@IlUtk$()3+pt5uYh+4l_aRSj!yDz;cx zNw-*wrKm1r9alIk;9TH!?iZZz>w!WtAI>J~& zIulENBd7ZkfHqI(otsVi&PPOYEyr6q965p=DR7Upg)_TaKzH+EPRvBddCV& z+vonSDv$iXok5IuEWKK%9MNDCcW|EroCe)#{`oM5)rG z1dt{r5drB%T4*x{i6Q0ILw%`v%FAXyJ59~;ldFkKt3Cob+@E{@2v-j6*| zj_z(!;*!_IWyQ`qczHcRDN0DV{@-tiyL;M80q&i6#H**f3VB=bdr#d* z@@q$kl=WQw5h-%b7M!&81v78%Oj1nIV^lpV6vY0Y7Z_~EgYoQtzYk)!IB`NZ`2XGy zVt*0iaOHpB4^lV!pMM{8_Cn&Z|M{LlsLS|&KmTZW)_*PqeaOw*(x?9Sd)18G|GAVZ z`~M%8Mn+6+7GPC8D=pU)XA*3i`G0Z!kZj?5o0#2)r)^HM-T~|7VcMr$jc@;h!tGhk zZjwe?gnMN*^0uX3e<*<-WU zRAeY%xrXur{%{PlNA9=Bp$+%+lvf*5u|L6mhh-9$F%%`sC-sLb7K__glE(Irup#!Z z{VuSM4i9H?!Be;T-SN~Xv+1D|{kG9fsMK}7*!F3U&}v=J9~a}t!OtEToXJl0pEskG zpup888<-_@$lcg);KPHC&hhG0S~kBrCAtzMqDMScTW8r`n%nI)>(aR>XPx8x7e@ca1;;3&_%3>C!iEC-U5 zJn9c~rwzDl@r@PQ(962?KT}$+=H#{xl!Vh(qiv_#-kFuyvBXJO!$ZQF45#Pw3YzD# zajAnMPzW>z=JYL89MJYW4ycsLYy|Z(L3v##aO%8Z{m>X~%OkYxLdDcS+J@M-ltE{S z@T{T#oc-<-a%tbh4iO7qswAbR=UY^HU*(N#KBsXJ3Lr^76biK+f!}8Se82SA!2*_A z;1OE#FbYB2zWOPUNW{|Cd*T;FO+NEjUqjaaJK9>u^Q)GQ9m^6m&2Ri6f_shF{eWn2 zt0IS3iia`^2C|!4qh&DrlY*0sh;6!=nVII3rSfa7=Zow*6H}@9?Iwv8d+e5dE_&Iw zMd?L82USxO+@E11jaGX9>M%I&?O9F4E5ZG7#$43s0gd8*Dr0VALpm!vyM_N&!&22U ze2KmBXqT!1I_&C=l@Ef{qu4bO>UAmwnYUGW}2c9^Cz6QUp$AvSt}A@%xJf_af=r zLjLy__?9I2g@XF@P=Qw}lwr>9?(R$R?fo7t{2o(pG$&M+{n*?p{)E&@V&}B28}4fI z2T!-h+YS^zmIs$!B_8Y(9b}W_$zQt-CkMdQKahv92h{CxMno8hD_$k?SI)NS>n8b@ z;c9FuCzsL70Umu1d{|U)01UWr_}x7GJcmxS^4jfT-^ob%^$w}kWRfx?Bfl3rtMbYX zzNbBRefNgOqM&G{45QfK+x2W)J<>HGfc$9!qu>ZCc4m@RL*%OI0+uR8+NM2M+}pry zyzJIfV!^I3Vq^BNn%4#@u)?<=R_}DWH)E-NSdA9RR^-i>Vp;6Yq&#ctl_;epc_|oH3loCLA zP=wT28Ga{fx)tc=x6!4!N~7Qfp&Jku5qY~8FC(Y(n{SBp>aCt)E=dvFd3J7h3>?r( zHA#gn&*Tg5b}B$2v)%r&BI?!ako z;uATo#Ytd;T6-Rcm>-@0r7h8PW^DTwpYQndAH(3(_2hSFKdjcXVc02SSnS52!Eq=} zTQ%V?vf-P#38|^g#gE%pI_%+`BpjA@19kb3SD8%|e0P@hSx-A^B3vXZN)Q}!N;#fN zR_Pm97=OvO^w}C;>uz1(*XgWS;NP2eKKGfpV z)h2E><#^}cpXVxRjhy<6XAbtp4rm0B`Dd{{seJm^a(&KqJR_1MF)^eO$)ye!N#Wi`0=B| z?8-YWQa6saQHK%_Vn?o4PRCg&R$7X0E^mUQ9jjcf-J2PiY2vmXUY8p;!tEN{Ba!FU z-P;E2aU;3LSI`G#)BzlI;08`Z6`PHK?u6ZyT8j{p#IsMNC2@^P>Yikz-<2^L|E@n)ROgdb)Uiyc8H8ElSCEj zMz<29fbaMX+?mGlR!7AP2=I=_Z*zN%XltL5rw{<_m96&{U`|=@w3%kKNK`FePYzuB zvHr^A@@hI8`l!zs+GnLdQO5bn{%Xr)5T{<4;yDa;!Fuw%;7)7xp1W+4Z(r4DaD@1` zOFTm$Ke=nR>=ApXX*;-sN_RorZcp|~vs^8Ql$6waQm>Ot^_;GI+oBOb^_l6aF{(JA zNls%>rAYA}bo@xI-u&X;w7BT9u?-F|(nwF?aOwRo?iSpZPw1>xUzw)$Iz?V@yaX+E zCDJ|cy#KxkV&~2^shLt2TU%Qc6OP1zk0rW*&{$PK7b;0_8*LwF?d||tI)kgxj_u3Z+wB-W<$9-$sT0E$o zyw&^D68dE9ZZ|GU#`*V0D@_5vsoQ(3U2|S58Qe8T@!;*%c5B)RO+F9x`E3Z2ZQR^g zMN+&@@0Wsf!+P0O(#d&ve58*<01Y=5JS z2JCHhyU2Ppa%he#jqR{vKz*73xTtGVTC=xQwVFz)7I{hooa_lffi#}zoL`UKZ^4ci zerMI@2OI&9AE*sl@KWq|%uZQplE82PtmX$<>=LV$*`q)!=>p_!$mog#s05ANwJX6r zqzsI;yqjBMr?B^^pM5eYbD$ibdD3*sblg^OufNqPw`M(Mxe=tqN>?=ID=Fb1Ij+>x z{X-YeE>v3jcO6RaS8V>a@L2mHG6_n)HvbT~^piR|Muvit;McSX3ECm(L_9{G_Wg0T z-s4T(`kGBQi+LXa*sd@sUh87A|9tNDGB{&(kv|9JpfZj4E(eSy%};(8q&@j`K@g_A z>__|_jor7k^qYR?JGM6(zZ1NcmXJDru#ADyG!(HfWIz>ND66c@xSy$2rWqBZ%So~%8fE>A)`X>Okq43Ma2 zwY-Mx+GQAXE4#biCX_!!kUFbbu{)pV(RMleV^sMNS!Xge?3!NELdAQ1fA}*3o;rlj zB!_jh=11Xar3H+nUHN8$3TM#=x^tU!v-xC9cdz%5ygPzOyQQB=`+>r^YGT7yVkN^Mdvzo1icq zYh>8s({B^nvx=uJ;FlaB*6lc-{F9X7kxe44?+|4AEIC~Rj8V!CpKLyl?F|1d2ybn) zR#q1{aog&@Zq1@P0!G(U9dLkgSkDhfV>Ujhkf21&MI8%PwFg=8W3@NWG&^b;e?U{o zv{lXI2-PJb02~BF9ZXx(9zU@pdsmgXjeP5YTPuo~{6n0LPsM|3m=(2LLWHOI*Q6?v zUNDQ#hVNJ(Y+4(UwkHA6OaUDH+EW4`GRcbIC(*>$4>rza&&2>TLOHpKZQxA(iLydu zj~k_~o#gYMP0vM#3iw}2U5m~BxJ3o%m|&W$9c)^=_AbZx%8xCm5~2u9BFQmVX83kx z#iYj|dOy0E@AIeid~~Cp5;@4JH1Xt}tuY4I;R?y#W(n+0d(Wy<=_{yI=Ax^XYn4)g zBC?N)#-r)K5fW9?W3KdDig5uh?DLVZH>ZzH9LNVp*QwT$IYZxS`S4+F_1?&G^VHO% zm4pL}VsN_?6_ZigoOdssG~65AZkA(J&gZE;X^?CDN}K=` zrT_JC%^#px2Lo`tTDtu4t={~PBYxAO)&oY0>9|`f^QL%SKu5L6-D9-i^IcxIw}1wY zZDoXUa&oGW-lwSCy3Kc-EO;T){qm&g3Ntmdi}>U0I`x2xJrHD7*)Ry4;KbE|4b@f# zwF$jY=h|N=v@<~569`!BD%q8UEtZdA-n%x>mu`LU3jk$LQb4s-o3!U1z@?9#H~P>L zNd3}3CU78EI^ssz4}B!*3sl)y3Gv{|*5*C5uber>Q5y-TsDontyAz13C{8_j zx_E1h0whZ9F-+A!|85+8(yR(+95_I!;q+Cp>zbS2x#6>XYi65A?x44bPy6gdJ53x5k6pP{XlqW{?`8;djFvO!d7_; zwyc%3o=fDQx%bN>)IM9)@It`(mV6Vz9hrnV*y;ag#ta-=Svv@-nzV&IwD>AiyM32X zxS{d~oLkidx*!DeXY-OQ_ath+Yx#)bQ2DSYvjBRdtEfU(4aL1{+2>XsptbE6sp=vy zCC$(ISGfb)oVi5>p*wG$Ndf8U?=(~;zJs_6`>VA9OF)g$(4TgGPq}Q&9U`KaP^*1_ zY{)MbelH}#_Z|YXWO$Myybmv51ls+b9L$QuNMr{D&?F z=$Bb*fdFK)1hoTltB}lpJfZ_E_4yY8p@p>wVwHiaE;mQ65PCt5v2Z`|y6ZF+!gA&b zZHJV-#qZs3lUpoDg{vt8-MqaPk5_&Xwl{e|81-zwx(%pZ+#tBgubEPx6j%09gg|>Rv)KeUu3N!>n?e7q`=4&&9V4 z6hqQre%}J9JyI`7-irK?ZpuY}=+RR}QNVS$B5$29T?Vq(NuSz<*#C}5_Q4}*x25^d zOZaz10H2C`Tn@j(QVSTtq=tn5U7~_W@)K33Aqn^j*kNAaZ^;5b;0WYssgPPApTKAc zI*i)YNcVA|RqM&+V^LL0-<(^!Toks8sG!u>lMn}fkiP$GfyI?q9|oV|ZFi=?w@K9C zi;2Ck{BnXIl5R;*Tw3SfbKg`zs>(NOhfKyt%90P#lMgarvEiI0l3xf*jWNKR{_~} zq!gd1uLpl6x%)3stJPzFX%)~etH2#$YvDs37Xam^N5LJvU|}>wlWJs<8-51S|2|6; z3zXvHkWB?lJjAbl+wG=PbmP+!ScO_(7)=2E6NwQY{B^pQZ;yB#_GIS0{a+pmZ3|$K z51#%2Zq{o^OI$3aLRTaD5l}0@sNuu|f8xnxq};?m+T!(ygLT9t#1O!F28@3$A!t2V zPwcA(@z|{^_Xhxjka+Dj5{kv`B>c{q{dW9*`wLq%@Ms1nWvTrw@DNk{Zf^x34^P^! zmXAXg9hAJ;Dr85M#|ismQ+vyJK~ge`74WjGDfhK&`^yJZywMQE$H19}LZ;R>@H!$v z^*-b7-<uo%a_`75HlCTa!`) z+{PAw6+4!I2XysOSy7)=0E^6D;qEvI33mk|ZXLvDnY$7&8dnY0so?50%Y0-YJJ8Dm zr|pxw%2UF_!)w>Ke&}P0-Ib_FsEk5>?3>#d|E)T|Y}p@t5PUf+p!3CKVgHXH?avE1+XzskDNuIj5b4tK zO)vM+d%z9(Nm>3>Qw!8%W_}F_t39jlkSY5fCkaeOMaWGEO{`icC>7Z2ybQc`daL%8 z6$EM!i0Hw0re;^qM=PIzwv0%Fg0#ho@RuWq0;O3?g(PzeuY-{E!F?03fSM-Y`HI9tnt1 zIF*U z&*)ctuoNHWsHX;SK!okG5~+YAU$)x(Wa?Vxd#gTY#uwC{WseM~Ibd;Y+VeDIe}(KS z)queMSmrb6C}QdRC%9`cBh!${db@#}>tyySD4*P8z#1(Ad&Gt&LmaglB$vP)z8j`e z+e<$92*l1?#9YAA)YJvYTdsF{l7W}AO;TgZ&= zmH%bnTaTh1q#M)$^uSKg3vR<8s}a~_V%D{Mnu2KQzj+LN_QgAYnD2^ltxgIa@IbtN zb-M+D$@`T4zI}QH_-0IyoA3n4z=ximCyb1Yd;tXtlOo8|L&kBT=X6^w`Q)*~$v&fg ze`WJ$dlhEDc_B;ePpDuNb|)TNPpPHUr0(X{ibwplFabwWg75!fn*=QKJ3(prwN~Z} z&&t;+KBK208T6OR28`_qK>qkc8yB#llaDv&djZ?4eGY=0BRj>L7cw)UssWB#waBay z(xE`=jRPp>&{Nqo-rvYZG=UEchup98a|e)9@uht96@IS@|6K~VqXW6?O-PRRxU1iR zha4tXGp7r|HdGiM`ui*PLr#CxIuRjA^lg^9CL4+0>~%xoo(aYOg$bdK;`E(jBv&q{1wE^)SdZ+;*eL3ie?6pov41kD~_i zh8rvTfr?)NuzLEhUGTfS_LM$A-XdhvF|ez^k%g)+pA{$rlfYQNl#i$RLtCxl3Ymos zAlV|`>cdY1P9Ly#Flkydf3ITVmFTU+e`ru_m5=(10(H&@1ywVksLw$!#yIaDRARS3 zAa>7#vbay5y87CF!*UNYqq1=r#ng?DBAN3|#CTx!PC)h;1i;B&zwSU(HTrRTT)LSU zGL+xD4)Vy^0>|m09*Gs@Ti?|Rge2B8h4m_IiHC3~MS zwe&b_1uU5?hHlmLXPo-V9(?KlZO(;p6mNK@2KDQBDe^-AU9mk8K?j3QxTohNux2=b z)ZI)zD97%V%Wsdrl=DgW&ox0oZ3L|pYxt=-18aeIx#?tTB@N~DTB|vbn=*4rRT*|aL^M_hhxEtqPSQ#_O!zNV43Dce*Ua1`|It84nX8srK$nbRHN!2j+ zT^)dwN6@LD<(9BaVp913)Fzd6)-~$A0NscBYvpItX5*o6;T?2lY-z_ID#5nyWYIn3 zhoKEYEfb0pSBg@4CN!6}xAQ@A=|&LyO|FfDe?TJ$_Fz>yzCC@!?L+t61&JZz-ZR|^ z$Ep!Ms}shcVH@U})C+?j9ruXnZ_$7e7@jaZJD`8KRz&TCmr+~KZ2?*Y?1t%uN!EwA zWnuCxb*F5j)Q)o4-OO;Tv^)ZvS|1U^aw5nhTO|%{4UT!eT0y-gd8IK1M}&n5iOwby zU!d-rz$X|h{mPWa;v@zpO1H=~&IZ##l;Mv*WPIJ{I0(BY)l7qyl1UJRZo!=Kp$|;% zDpF9_3t@eGjveXinQ}NMNZ+r`$Pnp}*Q*K^KT4<0pCy)G+})#OOy*(!tkaR%=4QH7 z)$5drYy)b-yArXSJY5#dzAABML+M-)PaJ64p<#i{5u%ASfx4$K6FT1$vgm+nuDV{> zd_=zwLY#hu16C^8e6}$z1P(mi5M=9#7n50Z<9#pz%SL$q;U`C)X>u2_36*)x?D-*Y z>UGb}&8a_J^il*u$f0})yoQhesBcm?lF;$|hOg0)mZ5wqCGme64lQlkyLxNL^wLRx z^=|K~lnQHwTUE^r52E2cPzqScRw-|-eP(#FXcyIFq*k7_(5&H9Re2OL64{Zo*q@!n z<~mtFsmW5WhOIyt4e_2gcdl1&0l69oj}C;7oljg7y^wf)@x=5=ES42^GNNf5LsOWN z-_$ckCExE5Dt8e(f)MAzQhj&sOYrU$X$76KQ1rhAM2Ht3>$nt8C)O!J_?iBp?bWa$ zsLkFON96oTB`qqC znb}pY2o=`u&(~oyU#H7l_h%YQeZB{oqsn%JOLil{c7pq4tAcOw%CNu?3@hsz4nwob zzoX%$f8XI!g89}T9W?JCa`L|}SO14yl1nVnGqNjT_Wg9@)WY`t=JNW+;rB%qs!#8t z@!nCT{EB1N3oZ36)!%zoHjVt?6~oV?JA+Il#O%X6)1g>8TC`~dTR8%25km@6VB7NF zWNiQS)1m~N$kGi8suB6y`xFxXy3x_8vGG@ecDHr=vbk$$e*5lw=NQn9Id@(OvC|uk zIhV*@!%hys^(Fp6y1mmP5Jiq|ExOhrpq4*zuGf)mK>U#hr!M&hmhVZ z)P*qUA}F%%-VZ)>-6$Do93Hl8YvL6}jknYL7WG&b7ge4ZVlCrIhDJU5x6FX9Ny;s7 zgpq724i;PQ0%uCqrP76M{2ln|p=S~{6^e_yd`0Bqvt2zBsf~I>)pYiggQ`ovejYNE z^l`%bzP_2iAhPs`sj!-#Q~k8Hsm#o4mUj%G806Y+m2m6WuJ(H@v$OQVW#S7TSc`EP zz4*lRWoy($w#%v1@X+TJXVUw;cg|mn)q4AKPg!uKkBJ7rwK7kk!B%LK|=x>EU|p*%KB5%qMhp7r**& z>74dP>>9gC918h0Y1?SH8u~Q0dE$@PcK;@IJ~bprS0b&s)iXOp{Vpnl>)7Fw5lL=e zd{PJfY9HhmIJJlf3!k8*@yn&hY8VAj^m_bjqADvZ8%Nq+IDhCm`rGrAg#b z8mrOXK%)uQ>mjo2vEV~%JIbK-4qD>T7Ck`*&SOzvXrX7}sdSQV&%)*-!H7I>*Dog8 zy%sWed$|gVeZupS1i9`+G@S!|YiMsryob{7e?j(sx(E8=kj|fmCU}Z8id3HYoTcGX zjy#i~uW&2TxB!)x%mzK!DE;^!IB9OZ@%N7x&WYEHyqgINbv+;dmS%dA3 z2AqhRfTxqqkq*+l2`MSMy$?1WsmS$loH?g9I0?YCwRCiJE+FSXf80PkzQ|>uxMTM_ zgn~16ho8wk;u||UZu%4J3D$YEtNjX0gzZTxT;C-{?6&kK0b!-wTBbIU!#%KH#BP3w zl!pAo&rD4&b&sJ+3dJ36XBR3;Fd|X?sFuaDp|Xt0QG(y###hb?Cnuhdb^aWpzHC4? zMqRnT19KZn&U>eI@y?uk>HRy32qnFN@cVha{_6LZj5h3JB#wR_R;#qsTY~Zqj%(T7 zT#%HL3%&K>Ij8|nrHX}8mH>(RPh6t&J@riOh&;s}hAFQ21ECX=>3Sylaf%5HUFuADvWHVVIj{ zCMHa2a~d1;i-zwy=zp<(d0cdhM*pwLuZ;McaDC~sU0%6GXS-q-tU`iRaax_E zkVfO78I+&3STI6e2XZoEg_Yjaod2!lxxS;Um1$_${ccD`a~|kC&;SEV1(4YmJ_r!PLD~=@ zT7zIwy5lM-_s}Suu~x(~w9Mer1-rdPBc5++rnwPVM(Jf8r0v+lME-{3gyK!PBhX z9it}0rJduxT>QF;T)v~CeViq8X>Z+DuN$*h^6Nk?Bl7{<*^6eo&eaP)DMZRpRb*wz zWoA_Rs;8?Frl|1r6~TwdT-T&9r#*le_rGv~SAYUwtq}tQ<^U}&yu%N;2%lR>J4E|^ z1h9pYllK=zzmhdP-PEA49bCcwVLh^fr`s-gw9K$V58LeIi2Yl%7>W)qFRVAlwZGtg z(WceDq-k>B9}${KwtYijPD?l5GO$i3i*b1Iv^bbxU-n>MZ@xPfs{fR&Y1|oOSIT|m zZC%49B}3hxUsug_b@m3f>?4VNZPSyMqARoc2dn z{`Dne?^nCLS?N51DaI0s_Ef$T9?kGMl>6IL;nHM_XR?hk77h%<-xpCrWLPxKY_+2jd_sF6!&&uT2d0h?{ zp6Xw9#oE~&+4SdM=qu1H8PMU&u_%W16HoJTR@$yCx26$IZs%};s4RQRdT1s3E4tTK zf+_;0?V(pdAr{XTPocQ0HV;8Sdd;JFLqyBo_l2ghsoiM0g@ zg{QuWUl_dp@*}(@IoaIx5mRl^ucI(S8Oa??lJ8vfkZA0hdtc!*rPjbFXVQaH_Z7IT zi_FwB4ezuuf{_GZ1b}MR(a`}0G15))Ab~XC;>PjfA%fAZ<4elL{!q*oz??w3Ypu&T z2o0{rU>6@RGK}lfDR1;|9r5ZW|8^ZMgtoUR=qD+BRqCIOKnwCPvkj&cC9M7EcyC9C zr^cF$WS3N&_mYN@g+VKUztJQ9qSlULjO5J{ocz(V9!|wZec5^~L9;P2{IAN#B=N*X z8B|ONgE7|?+k9hK?x`U)>W)U%XFSji-jckc3$mdE51)EAjZ#H5 zQcp!Ref$FA1oRzmeR!kXVzTGON9e{hpk0)-uWb&=x{HN`F4AU zt2^7cJZ!IOofnqRuu^CDN*jt2ZAOrG`%{X{1{h&s;ct=Z466A7KQb;CWG$tjm=H3!u{ZG8@kN$kHjZs9q~Ip6=fdF5=qX;*kC6O! zUJ1PF+z#AMDLz<7ufCke6$=74lLQ)L@;E}A#6IhLd4stBOHIeM{vO1un+W}{FiXbq(N2yY zljax6S-{J@`MkSIp~gb`!l(BzhXTM+Krh@g)1UEUJvq^#=^}kUll`(#wq4vc?pH}n z;hNtoB-N0g3PevkNtlSrayhrY=S__MS^4s)ZMxt3((jlY?h^);w=TEL2791l2PYKqy^)?sn%D2rPi*7fSVA|KxxOlQ$~oGF6`)U0-$rDylO& zau3YP4lEWO6N;1dOgz?gO4A-DJwiM3%!gjyy+l(QQx-=w1`Yb44nEb5z|;i#6~M50 zEYv6M#Xu>{trL1fRARM7o@P#yECPdQWZxXDbxBvWP&=Js&d&jT%hxGyr_DM~WU8^^ z`(Lu7(n4lD`*-I0B#1T97r*kK$lDoCNb7uRMlHn%G8ZfcZcX5@<#13e!Hk4f8kju; z$_AJScXsjCADwbJJ-zMGccBscu=*eL39O6mhkVaH``|D}hGEK2BOynq@mB*jHHS`~ zp^o|-Zo_NV_Cea)*X{wTtUU>8Z&PwiNWYSEgpoVD@o@BD%cH$T`Mw96 zs#jYkY?+x7UMk9zSbhzBkV9~I{qvkfdgYSH1ncDWY0Q4va?%iMuW6(TGmR(u`|uCT zg&v9^s$lp2H(~GJ3!6Ppw{&;{t@3&sz%(dtUQ&3`Tn7%u5 z-;J;q9t8tGjbEHD!hqrd{P3SLBB8r;Q}FrE3y7t#e-L4OSk+>6gMv_C zgvl#ES)zw6_3L;*1`e{l1sip3!!HAI{%K-!&?lR3VN7z=Mn&(i#C2&L@q=ORN2d?G zi#IlzcY+wMb5#`^cB!$p{cPJ5n;BFp*b=y+7BhXD+$Yk){Ypk#J~BLAvZ$YOIOwn( z{K#33Pp&ko@_?T(-1C?+!kN#sm1DrE^q)O`RO;Y5^78hueH_dMVezU~L6SveV(ts^%`gDbU zp+nyk4dOWl%t;;|bm}Y-XfW0ZWxhs@#EU_t@)G)(bY2UD5NBX zGe|YRD}ni4h%$DhJP4k4u;u=L#M=S33DLEx=U^rra&*}uVms|hG-oGI{qp;BR^rg^{W!ie z%x=k}$?sl_7O;NgzW1fm;1k9{;KzUiH(y< z@nT)6xSOcB`z}^#kGiB}`$BN%mv2lDW|tL!0swRm5wdRcr~l!o%UU~Z?q*DFfp|fG z8B?zqa}nK$qMhgwmvWYI3QU$DAqHYzRZQsbnp3ib0#!O=EUsNRTUd7a`XoD#7Wv}@1`TEg7w~mW* zExb-5!Y*sI38)^+?l@Gz{4%@Sm0?8y7B7BZ z-DcxGFr`m|L?|*J7)0oc^*i#O6Ta2N&~5NZNsz5l6m4NXfxN_jrhiI6j4L91A$Djg zb}>e&yYZS^^kKQBu__sKRT23oPl=oN=L*(V}0VmH(Bg*)-rk6z$53Ne0@ejEo zvVv8GW(8QAnkShn%{zk!3qo95cO1$6CG4CruE|^b9%v)l#4`<}h#y?J6U7W-8*8Y3 zV&tcT7zl8NxHw^3f)o2Jv%lpmq@rtOVZOcsegDE6J5*pQ2&nUF$q21m^U^HgDMBr2 z%fBLC*Q!*p&gzb^Rx&USEH{a94g4ApRtgx=m!?3UD8deo6M?ghH-G)K-K${1 z{UT&!b00T%**awJ!1|@e?D%Ns{9#uv?SY!P!w;5~S(vi+2_8ibPL!d>?wB+3vMuSP z1j>-qI4KIdwPaG;JSLcmNQwrOMQf7cxCf5#;>X>?{k}r7Zes^xe~D@6p>KqkohLHS z9$c$%7=#saQB4>B8t1>jc$SE`CUBS2db+55lGwv;oaa3fo7LZ$wRv~2%&odMHD1By zFC$K}W%rcan9@+sf9_PEmHF$fo`5IbpF2ZgU#H_!uhUINr%N?Bo9AzXZy|nv_S*RA z7l`>h`iWbA;BXtWQgF}{uA6GiH~mCDM*heq2NeB`mJ~iT2-lu2NA090b$_)K&rZ(X zDs~mUJnozrf}Gq&M)ky`o%v>u5h$7Yj+ms4foyD$tJRFp4m#4$@;{+kX0n0PWxd*%sfE3yAIhYd+ zqkY1g2Y)DXc_t>dGP-;^|APRJYB!N&ySibUfh(Of8d9JR6YLouipOg=Ue2>PtsOxC z#G5Ger!T6BK|Y||Z+vImmq#MR|L(Aoi5kI}i%+*=1D%-DNw_WX4W+Z_zZs<`ky>{D zOKf{jOEapOV2&mFEvZ@`+ul|kqEYGwkCpy#-6M72xWAFaKCer;Wn7NPEUS2rlf#(! zxozT3LwNP5Xt$^@O^2@k^n;ea4-b~PdZQO*E*e3>EEu1sC1=zf6j7r5TLd<$_fH_I(ofAc%#CfV%fGeU z$`W2CD~J)0$G8oZ+rMyY^*DakJm<$~r9@OyRgB-h7*~L)SVYn&-JyiF!B$2^eUM<<^FA^fAwr({b%a%hZ4@9_#gx~^XG$&8_j0TNyNVCk$xOHoHJ}#kc3Vm%CXGI?sUUp-OjCN)9rsb;11au%5zKejxQGCJVwQMk?bZFD$pOKjU7XG_AV zO=R z*ZN!uko(M3R*h@16CdbL4w{(pRd8FD-|PcJ_~V$&d1mO2AP7e~KfI8U8`@N`^D6hH zJUI~il8?EGQ+sDCN;7}VLG|>{Q^uVNjuSX0q;Qm9z4X+r4MMl2cwfoc=;(JTQTt0I zXM=QwnUJsR)y`d3>A|Jdms(c+vNLN!Q{N}RcpJtL%lj-31bMRy92XXni_PXo%9Opi z2FQxuzKPG;h_Cr6>pYw)HNJ_P0Vn*UTrJbL)DAg+X8Y>_{A-2%_svdrojl5%Y>w1w z6>8~gGK^t#bm!p+-MfCbeQ@Gkj~YP>l`6~2GUZv>=y?B&2^bItL%}CBh05zy1q)QI zznE}lI|A=vlsujCY&7@`r+&>k`|ZBnN8C9D@d{zxJ!6a#5AP3E8`k(t`P=j!bQA?O zDuQ|1(OzK|%U>(T8%6ZeNQ~;HX4!>6jmXwAzo~ z3r@)Ty$XhB26p`c=NuU$t+1Mxn+rodC+^=WmOFJ1698)RQ|d2)Cp=^5Fg&)Ew&MO`x;c${@y_2 z@48md+2&$h*gak;NG(nOipHn(js+ezLI^B3+TM+`7B*acwP3ma6+G0iDW>~*0$wxu zi*WUwR(On)DtClux`NFcQQ_S~H5rZ$tXE}~a6?R>6+dg@{44BwS4Mm+WKC6AH}_Z};w)xq89U^SE+o^)D47Go@*= zRMsqKMj;|||Nk;iRqQcncKFL>kC9F{^Yae2Ann9zd}C@u!aIZHCG>)Wn+@ZyI0l2TrBq6!#a>HP_f$DrHz=R za1J!OwZuw&aH)c?h~)~iXo_U${O7fV9r>RNb&ub~FH9f0?HbB3YmjWYR3DK&?Ws^% z4xdgXfiY+B(07JOUMAl+n)2xK!jONLbRH`-|MBk-GPD6`SisD*@ydkCU=*E_bg>~M ziYP}ja~Z}lp@d8`Q#b+T%I`7TtyH-0TzdZ>jBCRse3C=k#3bn8fLo;kgDol!U}QCn*2T4ZU~%c4N!0fs*8$VcGbbg-!K~)7-z;WbTsrZ+Pkfhq&`{%R)+- z@WY{+)m4ad|LZ2ip58i_=pUcL-ES7#;rZOIQmbSztVsq})QGg9V+vE6M>gcT22jot zIa?Z_`IuY4cN)%Kl%6)t?!NPDlQ~#*;@nr+tFqp9K*&jkW^wDOG2iyESXA7cTNaKR zEaMiTHfRX{lj!Tz;2y{69TUKJZYpOJ#qDW^A{%)x`G>lzFuhrTfN?eDL6 z1ek1(q>6|$+DvokNKbpA18#x-(RFcA+(Xj8_Z=+W#T9B-ZVKvFtg_xnlY3AjC=~jz z_4GG(`y}p<31(GR4C~_63H_(en8rDDxZ&+e-iM_xUXs2EXkwOS5O~t@4uw<NlFRgJh}l&m{7)kXOwG!|X?0^373*};wI12A1CzW{ zUe+Old{e%+``Ic@zE}sqzqq{YEUA2_t6u85y!BWoZ8IY6-j#P#?+^JqxBPePOiY7o zQTlOFdjXPlBddFeCti4f*es@b+{ zu*)8#ZWo-+Yro_HwtWjM|q%i@^Frq*MMycxc&6TM!tUjkkhiP zW{RE&hxP!ujmS_XP-C!=QdzVU(dqYEtms#jsx2|No(PLh;V-A%$HeXL1Pa8X!YWHj zh8twZOxXGweNZVO^Pdvm#x)u3jo6zORvJLlCjW|?xa(kSz_#I1w#ZOf3emCGoV7Zp zP(J6jVos7wPr18odXxt2a?vltYU(Dnc}7EtGe@V;NtzdQ`$6j*Oc#UK%YQl}T+5d-F?p`q6Eu`rJLfw@le_yPb{`aYqQM$lukER3yHKEl?YOezwmW zlj8p5zA$9p)f2HgYCg~Xc&%t#LL@MGw6mSk)M%6^x8Pj1J4R06fwaxPmRxkwJjTH( zU&>px*ta2H26jic&Fm8fA>ydB&nsPu`8hdkEp~Cxeceyk&M#f6XXe_AR3A3L5&&0v zB$Nhd7ntec8t=A0m5C zAg4%eRe@CH=$ALUXUX>PXj@9YC8vnrXmwQ|<^42ri^wlA)hKztt+vv@e51^_`h4$h zVSw;|R~!pg%zHux{Ys{4!nZ!>vqs<%UF&6TVj9v(=gC^WqEbuCoKc=1j=TH_zqX5| z)z@isryVDxg0DRgkLT>mQaIvz_pCSGTQTL4(B&cbLwVupvf}s?N=mHSnTGluRxaxe zXP>E`eB^UM$(UNbtC7Q{HCuU<35UVP?a6pqE!M93Ei#mO`6`LT#v#HCI!Z$aQrgI? z$!mUr9lN%`kux3j`|tk{r3hMYo3Bt8gCN)M4%b%Xxq{#PoD4P0M2f_umbQ{a`>69 zd?}7NZcZ?slq4-1oxX!yjeig!^hQNGdzg@O+T?i02|e4@0nA=a(ZaUhq_bM?3XRej zuXePvynwr%w7M*UX!m9#rzV~6rTic49W6R}`n|)vjYm7z8dJF4qUu!7DyHF=s%?8i zc6Z68V;`OG4DKXfCq&hYX}VrYz1eoEk*^d(KvnYD+1VMM``F7ieLq_ahI-`T+uRH5FW`x0D()vL;$PKx*=m8OBi z5#j3|Tf7mgmQ91x&Wi)>FN{cj_2O<353*#rw=_b+r@f=7dV}#iTU85q_QG1~1QIwR z|Jme!X$5X0p3xR$1k)?Af6NozThkr;k`mhH23{&2W;{hePOjwPT9V&Zr%YelY;nV(N43N=|<^azdj% z!K)1X#E*MFXi5D$8}%0^!ZMq0s~d4W-wl5`<4G@jRmav%U7Lv#WyIy>Te@{KsP*Oq zsb3X=(vphqEpS>2w&W7DePQX6MDe@ZL99ZI&4lv@3nwH_o}5+W%v)+Ad|Lx@N!VNxjT2$fISqGXprc4A~-%bF}@UndI5I%LaU#@I*poh&n9 z7!1blxu(9q^E~G{r&FDiKbpC(`@Ouj>v8Qfpt!%9@Gv<&T@_4Yl<%AclWJu#5c+3DukH^b1x|6c`JLcibrtW-|*BC^*_HY5H`_l>L%XlZve z%XLc@b|h!8SdaFp8Z=>UZA+lYk^d3wwIlq8@{x0fBIi#c3^FwdCuKbPF2X|d{sHTDDeH;+&8oI_1^WY zRQaiI(>uDOb=|L38j4Y-S%9ACZ*vIYX(N4wPo-Y!Yn`VzMtt_h=XvRGOq;s4ck5N7?i3iix@k% zduT)&!&;qY%f%EW9ljsngoH9ls1bkRPJzx9Oy8^@%;0stRt-L+8UET{v`1{k^nb0e zlEswmxw9L(|J)q2>Pgho8yh*r&CcTQCSv8XQ_^yi`7`PQK0aq-N>9}1?xOxe-FvJFc%bL=*|y=y9Ae*gw81Ff zB5!ugu2yn26N{ISl1iw4YE%RPMbCRFlIG7DmN1vBRyy6{TOthf9PsHUR(DZ^K8r8Y;S=t=;H|40aRW;&fh8o;bP z65|>YkF3Q_ZAEfhoncSD%|Kd#E_a^rKSA&x=S3MMkG~z9pqFOMGd_BajU1G%I5f5Z z3RPU^p&T`F|3++pj)%{nN|Vrswnybm-6MS2C+SzmT@m&iO!rTLYgF-%p8?o-=Nz1j-uP`6#AmoMsxGxEa)SE0~W zxH7lg>H6n540>@JyqG?mk;B*!#vB2GYW_F!agiEVLkrLPA`OX1^J52}Gg59Ee`+=` zJ5$UX2VsED4Bzc-r@f_1mH4WP%hVdDr2?0fl>ttXdVG7@YQ5h4rgkK5t4IsJlgR#dyqKJ zh4b%urfR01C6#E%FEaQXb5M>8Sud16kMKr_PE~L(X}!)r4Id~pJCW|rtxY)cLbr&n zwI8$8?Z{cM{FN(!-Jj(KdtN?grSgxy8$b9gUh5YOE}hv7)Ns-ys#V;J7R?!Fa?46q z`JpAc8ru&&3#)3T8T_d1n5fSk+3D=_OLUWu=M8ZjH$0Iooc&@FA;;$m+mM>l;FZO+ zJTZ#zSV}hxknlh`=OJS=Un!6|Wuf**kcUGDyQJzNCzwD=%=oJ*mTp*BW@q>Bp>xU( zMs6ETdn?k8*e>cuMY@qA6n9N%Y zyxcomFAfEk;wK`Pd-@HFLiGv~>PQ{ir~$I}p05LMC2W4L+)q(K;nB|96|5`COXB7u zp$siMxu4Pf0O}mLz2MX0q-*-}D<~-YJAAG_O5ZhwlN4_>f78hqDt=l}J_blM8%g#m zC>G(+!1?oh%EEV3H97SmA`7f`dlf$l!%8O^2MkSVtbtzoQtqd$FJKS!?as|u5UG2- zeLQM=X%siBnwDX(DImA_duWXKFO}FX#f+}Ua`e!p-_^yADp>oK%0*9i2iXW-kF;%w z;xZ8L@5LT{zgx^^!o$9|7h&VOas%}Oefnq1qsV?$P4}y=@9J*KVeBKlcaN$SG=Ey> z<;xgT3xQX6j8#zE$j9I{?ql}R$F8a(QHITrPF6l_-7M2pKq~)LiYHYI#>bcgWCizG z^{e3hFB<44+^Aj-W;LyPP!|ySjV%A2?C_#@^uv-?@Wt<-jatz* zs~fr!IE(=JaTA(yL3Xl#bgYcX}<2Vb8dAd^V|5!05N#*dxZ}in^I3jhkV3Q z44whvR}by+He}{tnCck+rl}pt=b`$4pDg4(0N2d{2}*w%LM4;KrPL8}@}hy)WTlrt zek@P9*;kZ@z&4LAj5<0dj81F$(mZ@?olS7tD#v4gTP555D*Z%oWo&Y*Uu&>yt#y{q z>9@nU_Virg126N@u^1W82P;=s@REGrqLL$JHYY-Gwy`d|`YYTVbrvM9JumIMp!?hh zUw*B^THD*z?8pE9S0^Pz07A6!cHvFzWrF9Km#6XkwP!U-Z)I7(cp>~>ClnHyoSdw- zltF2xU0p(}YW9))r2{VR!=qk@!CwoL{mcX&%bTW)^5-UDB?-G3ZeU%Rxx9RX^8DtvxAJ@^?}t={HhC$XV?A63II z^mH1#l_KX6P{XdlHA*Ld&9MvYZ28}lfLJ=8$9@aW6LnvQzkhGmFiFpOU@6A6NC!bn z(gzwXV2}XqfW3L#xQOtf!UMtaOynGZRUIa(De+DJA?5K*uhLlsyv;n0C>45Bo3*e#xlw8o>&&>K$;m}lNga9#BQw` zK*IbkJS)yx)ZI{V3{~CJ$qxoK@*A;JbO-OQ|Nf?%Nn$@jUs>}p8&)^b$WzgRr!u`6 zC*t@2=5C@!MD-=5@-Eh1G3bS#xiR0zoWmA2wc-i$O>Hn=Z3UJmKt?^x`Cxc?LiH)q zsYg?b?@dHL?jzvyB(5MUtT08+4dT}aGed4hNA8y=MSPwzw-d+4?%4F`6qt0-%(t|t z>ckD;x_NV{fHvM|sk3t2G5+CYu-gmyP2r0E>LxF{gy}5Qm)heIQBM#vG`2~i!!BD= zniis}2PEaWk3Vc-E^fWn$m#uvWrJ&Ely!+2#i99swV4(i*!pUWW>@kfvH4a4{sU>) zyG$p1)aBI0|0Hf>@+<6V_+u^$yNC8Ig++~4wTriD9~(He#g16Pv%onME$f$-)Z%3u zrrlcA$)tU>SalSMhKoRsQt(}L>X2*;5{A?!SQ!=f=u#<9N$g-49}u}t$&te`x~d|P+@rO%r8}GIjmkG-rw`_H8cDGd`@3EALs82=p?|N$(!U#6&0rD#oSa1YR(TN3J$&*m+a{{d_2mbpvW+<;wj zYH2$OOR|+n+c5&f%ay{x2UZMU(Ru}gv7HMaxbxhR7Bn@D&oW(dKCxZb*_ML|3HnG# z+8>BU7v%o0F2Id_Ih5#|rYOEW)T>gUwnv}amzj?y4BsD;o--->S-o=Sz7IJY32R-w z2aWY^zJ>eR{Z``94VDZ}M11OVyV);{nE)y~Q|9GTtX*sD)HGJL4M4^vW7CYO7Om(` zY*2u(zPc6p8dMVP;`J-V;+xEiXN46k7thxYN>`xP5cZC2%S*iO$5*+&t(afI1 z)t@BDl@$AbkQ0{Ig9@xOZ|Ng*n}i=&f(;L-Q6|!aCsN{Gp2qMr@(7sc>Wk*KK#>nu zOSV>J5KXBz*0cPPvC`6z#kyF|$o}H3AI3w;_2uy)kEf(>Uk18rVo2xitE_Bu43&pRe0md}bl9_= zb7sfjTZ09w^Zy-mU~=hF>m#jX^bZGV2r|jhJP`Q0^3K zTP6y&Z$VF>f7Ez%m+@4BJ;KH1oi9;8u;Q%G^_u5D6qvg8GMiRYqR>lU_jITPAWPYs zf}f)>O#9miSg1=Jt4OTtcvf|Nrw>McR%+cR- z7oy=B**gDbGETT9C6MdutEK7sK#atwKM}r(m_b{vCZYe+{E3&%HC@|U358R~4giOi z@H7S-@Q(%kic?drztjVd(wsYi!*_QgI};MZsG ziH3WlBq2O8mo}aJlJ)I~O}Xq$0D#!7>0kV;Y6-dRr}5NGusM$qw#pDQ-P-PCYCmn) zyC+k*zHwl*e`NY{)ShxLAq>>v4?<28t5KVx-Twn z9&|DAdBA?Z>Vhj>y zzxqCs$`xUAD%d1FE9n9gqs>$^*Y}~gSMr?_T;tNey6Ns2XsT*FRrF;5CTBbKTaUYQMFjM0FE%LQZRtH1l zj=i$|1+=rjfka&8U^RAO)`GB)XVS032MS|0mHUFzXRO7f`CBBn_&zJ%0H zlVviOktdO4{beYB%LGUU7v0!B3hT$E(krpq`OQ6sM7~PJ1Ak(=)vtu3;Y(GWioo=+$~o zRXoS1fY35k9W!q_(&v_utg*ZGpBF?y{WhH$Dv#khR+w`1)hmTmS-)iSin7*6NRxT&)=ew z&O><#0&7ePE_?MJyn9CgJ?b#w5qUHdA`i)}Z{uaJV}a;99(Db;|KX~Ld;limE#mk$ zA29TCpaube=@2BwjDGE=)`s=2WH_WT*FNB6I`U%L;*njQEI8_9C4P+(+qS~8!TQ;O zb^g+){&V-c4GfEEF{aFQ2WfL)#YWw6qxwct3R6@R>j=>Md-P5`zl&7ai@0O}&)3?r zYHkg_0o~h8Dyd*}a7CngTKvcaS}Loh$(Vy#bYa(^P2|ZGo?pS2pf)bdqUjrgnt&hh zs_>feBqT@t%&M_;>4cL7^J9`Y(>8hxHS5XIrclXo8R?;3U(1|Sgpt1@!BE`jIXqKF zE3I1?=a3OuW@GlPNZ;ZsLq@PzGcGmu%!=#wLX(v*w*;-7TA16D=H7S5`T0{-LRlZ zV0<;iikWcc^E(&{jR^EDf`w(I2=5sf%95?Oe24_aL@Egx+Pe8;>IcVeg&+q462U56^AK@ireUy& z)0APNwlf#;ua3iwMZemd`n>!KIBmqI|G1{V^#f#m2C{u`LOn%GmdezBqL&20IEBh%S`xCojU2BEs!l41C z<88x5nlee=vz-(e95H-2j@o^(gc z@mD@jI>djxP#c!nTb{9SC#ptPWp%uFHw!;8Hlss(a6nR=E;;Nfp6uNP5?ba?etOLv z!L@l81`x4u4OOD&JkGh3R7L&3n7VGGAWce$GXI1(yeq8SyQukHl)*%_d%}!|!%oBD z=Iwka})OF zWwvL(Y4zh9>cZZSKiyQ6YUW1{R;y5aZqm1#yY7v*Qk$17>)Y7%g_i9ZW@Wj9a$bkJxu zX}%E1(w`=w1neo8FseeTHCL(v4A0xs@b@*p8Jj%J=p-K=Vh_i?w%;#{D*XoJ)Vtff z|B<3HIz1WkU{13aB7<=EB?a1s^*5dF5ua@SNYB91=yo~UC71siKC{qpSRwjk^x^7# zAcogjAI(|1@I}C-3~V%ZE~y`v(OO1a?NffW1l6tC!fpg%s?5I3jN9{MfHTm$a}45g zfS%X5THtOh@d*Kq_E^0HU8#-(6Rb*!lT$VD~U^ z3smVB@}@G;*kjb^fv`*Z}gt&k!c3C9^UHRbC)IZUb6{57UQIM~Wog za-XE>QFA*cg_Q86=@lz-E5-(U7i^4Ru8{FRRMxK?c>;n77|C&QaS_k$$<4g^R5}&9 zerZ2%hWATWPUFNk(ZLF2(RZZ!8SCf}J-NREyVnOC=96Uc z#~8X<_J%{LY^fG)w+iFf)GytN6f}6~4`8eaHvk2&>bjrWkdAzDq-a$WRIaKU;B0|? zJNWAxiJ&OO9hHfHM?}iF6%2|1ZzBbEQFV9MP8|W3OyKRw?$K&E2D=eeU`>t8JZZPZ zMOH%M{X`WUl^h;#x`soskrtF2El>l#4N1nCO>|a7c`Jr%a@s308`)pC7CV(F&fPcVsCJ} zHkDCX?eF*^E{#=sl)LgvYjTw6d){>UYFd&pW^jjx2V;ce>LWvai+=w4>ZU%#)W+R;B z^^qtY&RCpV;axMsQWeX2_BUK-OL|U`U4-B1rg^#etEp%ojU8oI)B?EK1=Y6mEw)P~ zzdfLD7hG#BB`zY;z0La~Ez;k17pt!Jt6o~Iopj1m)rM5pDOn90shh@^B^R=B+!bSW zznc1~Y|zdeK*cUfG-`GphI=(0nyE8(*;!)hmV(#hP8di=)tIY@_vv?QXJQMjFX3*m zFop>{7LS*829EdvDPW$+my?x|iTJCQX}4?$bUGXXfes+i2Rv9n-{$CS6=_YKkghTB zJ_O=(a1JCC6ruo@H^B*<|9*zos5o9Y7NTU{bz5CMhom3vEnh7mEeL>KB2w9lXl~S^ zfNUe)DJcZ;KDUM6O`K-q*HhhHo1U4{A1oW)Ua`ju{CoJ1xi8Q3JJU35zul2B`hkyl z{}~_Fk{PSLMBiSxt*oir_*J2V70YxrMZ1+~8gKFYmT=d3(H^vM&uWoxUWQ>mNN(=&wO%DS`T{ zVF7EsFw>os5##(PRFp`uN05k(3VFY}179g_7LYdv;4#3%Kk1N*-0}5O+j$oy^T=i! zD*?MgP~2YJI+(plb8t`ji}AfLzCjZd=&q&j#m^_hyD0Ysi}C&@g<2ZK)0r#Ssc+LZ z_#hruI>X2^o!6ALC-G+a;41ztgNGWiBq?ZodvXH?6TK=Al`LChmyM}nIHRdjY6QZ{ z%t1Dv(iphmXMx=sDWjut=hov+)l0<|+}sbkesQrE>VKs9UU5k#W865RfxodsrsSpb zEO0p!ZYcmZI~)=baccFN9gWXtj{oOsZ-F2nC4NeBIya5RWti z=|a1|FR;mc75MdG5`^$%f$JZt)nw>l@k7pV*FWSIILYkaTfex`D>6eHz+ikBzv_Nv z*u*j`j`oOXMzyPyt%YDZW&^?El*r!i3r%51m9<~utgrd{>zCTdo)k#pl^ZxRd5o*YTkRI%^cA);T0mm`|cRt(je zFAB{NjHx$XR6HsYGb@*r#MWJK<#_Q+i@1L}z? z*@GJRwHxdvN%V1dgIju0g>Ek)iq{h!en`YBM-S%CKkTJ)n%{&Px< z&hWA)xaSFwqaS3}rQEtlyI$GuPDVyTJ`EaG)L3W5cb+Qk9Gq5he*+XJ<+9aT_tNjU zbF2UY_9*)`@p`~|6T(a$Af>{CJ^t{cUQ5bru3Y~ObG(>6Sc>6UOE%WSp9;||^s zoP*Uf_|+8|oZvV2`f!`sWX9JxVBa_&*^#xro0Oq^vNpRArIhzyeRr$;|6K6tZj3VH?|T){r5P>y*Qe-UHBrOx^6+j< zktvMMV`b_P?ry)Ej(YyfjqAM-&WSJ_%^0nR8JJp;^ch&v z#kyv?df$#TR`g5lKdg}i;X7Jltu62b;Mh<$;3phJ7Cmw5Q9)<{@gqfY1M&kdOa~i7 zoD2@;d@LNtFERmrARR9dlE&hFu9zccKyp=_E?lk>-T=cx7W&vN&7U6L~yg?>h-zz{5EIr95X{YP?azS}}Gy3UyaJl%pfxfIoa2f(dIr1Ac z+P(_pGwdkk$o*h=L`0`QvuP}I)Gs9Ra(ZabBH6(baQoK12FlW9x zLaFl9_nOlN&o_$)M=Cvd^h73U9)kt(kDF}7rBWdN_oGsq$R-Fe*RYM60~S-4RhQ$K z8G1D8S#+UMJ01;x?fOTN`BFT~hu7HP7VS)H#Vf*_t+Q?H(grh@VYxDKhYFRum3!sF z`e~8{IB)aHgV)d`V40gOU#yh8vPo&{Yi@!rd8X_mT^{itqTV@6J(fbl+M=%GzjOL{8YA19O+saHFmLOJeGqmTu{HW1;2)^ z|Lfp^Z+=6VSTEMgd1PEZVxziFxMad_SP7mT-->BK*C(2&zebppMkvr_{M(5W6rRD1HD$)ad(d3 zKJUefUO}r1&-ZR&)zkyG=E#D!dbNj{S75AAda!NnltVVe)+bU}n2MXx|-ZLYOQD-vH^$)+%i6#Pg(S+J2tf0qWpqTPl_1hKr2$ zK(Fpf@bNhBp&I#f)B8Db{I*r;XU~p%UGxT2%{8q0hQ*2dmw{IIwleMod*DEQr>4Fg$%q=UbKLd$Lwwq`u!tY6wO3(!yk2i1@eK%ddvr|SXW}mjLqg$i zx4IE?7UA7tlW%}A4BUDp2;%TeOUMJ#EHbGplaa(MD3im~0b(9Qv`2b}eO2JWd1rv> zJw3caHxXn{vUEZu3U6pb|e$RYWJrox4t(Z`c$WTGte5VH1+pI)z+euMpQi|c;v zmsw3Pm|W3ht#;n>v@m2on!z`PO*1^fe;<##)l|0iX~jZFO2Y#FenpydeU=yU84~(@c)rt7vhj&K`;P*XKRIaltK^(7Zek986EV%Jx3v+Uu^YiH#-2 z;ai+Z#xAlo5#G|Py>cM#Ks}7N^gdy#HS+;fe@yu?)obh*EexAPo8NDV&9ndra@3$B zGQ{8-Ve_$oybS}GRzPY$vyRMyjuN20Sf1Az0zG!08h z1S}uORH+@xgmLWFSEp~G-yorXZL}>1UY7K0w~wiey*xd#LUTHnVZ(ms z$C#o8QZPPen&xPOqdt3a@<&P#q)gQ!8D|YNRbeNl zwhO8d`@HsDhjy4f8G+sOySR4jU1q){g=2ROweW3=--^mK_5_8>5^&%Fr=RFL%5Y3i zpTyku);zZ6eINxQVSZ3PQe^J^^X^=t`@(B>3(elIAub%v_pdn}tli3jH8XyPg2OhX3}6jvRlRQ$Ye^Jpa{0WkaB7blErb z8;YHIfeO`2C8L5>6(J2OIH+4)8xZxf9xlFYaw@K~Jmw-3H2p|5u(NreMT{MVfFgiQwrj$pfGB~T?Qr!aBH_*2J9NkZuO>rh8TfuYN>KeMmW$Q z1E^cx0sR}8h(G)1aDJ^LVb`KfGHF{QeNEdoNdVi=>fM{)pfi=Ms64P+KiXY)*|@`1 zylaQ@df@2LWsoh5O+h=NMt5o&faFpM7ytp%E~DvKn6-I0a;JvP-+#oMk`Xg2A@}Go z>4d-oCs=cTfJ?J7`Nr!4%0o_6L<_&{7;R!YrUiuEKXy)3oLqF`Xj=tS%XDC zcRx5oos6m0W>}l{kNI}GIf8hQr8|dF?ECWTnByATX+`^1&X~XPg*F_9UG2eqjh-BN zS3$zmXUG>VExdi5en+u7^yAi}VQJ-PbZ<@8*%yr$Tob*k?Eg%}%3`;S;=A{wcWX3Dxb@+fnrj4dQEN>^!LLIw{g*>ex5hWX`3wnBv0J{&U?noz5E ziT9i$7Wv+8WpJk}mSwKq%l|~Qn0Nb*y#6reY3esD2gPDwjs{uRc7mKxH!uZ*YVOl= z6Vb5#LsR(A$SXq6{P&ncUI&3IHtM|d$va$mPtw+`H0xvUw9h7M-6FI8hirB3dE~C| zU6sw)2NrbG%I?<{H9TTRz51gO_NX=atxI}y@$}Erf5YjdGVf|KEQx88a$OlkL8%CtEx6baL?#SYBK!d~mdudyk*y9*=S=?0s#tyQ z)bU>9ogG3tVA%!)De06gea}ne0{gXAa(ObnW!L1Y##T2^%pA+ndUgyh9@enFoMA~5 z1L6Ls;pMLTQTm^H|601+-&;9_v~OzNw&u8it(I^rL^9 zU=+8;<%G&JV|o?1pNN8^V?ka?QEDSY)P}!WJt*be+C?|2OcixuKZy}qdUSj;>qdAv z_Plrns@&d<)Nh%&f)VR;3k5|GsAN9Xt?}xIGGT}6eROb}{Y3R7G7_ZpL!! z4tSHSuuI$JIUnpjU}5w8abdZ)slv<{eHjs5bt1muL00(6ZN>~ z3nVY&x^4*{^Ei6P=;kHs&|q!%E<;B>SW*_3GI<);&h$YVDi9{b)Kdv_Hw96N#dT^Ozx>0J_OG~K3f}?EAHnFc}(lfm05N9e_j+Hie>7p;$Uw+(BH9s zv;2LdV*#gFv1w0?uBi4s)PjoBrqM}4R4jf7H15}wS3b&N2VIOkEoUo?_j8ua+H2dZ z6;sp0v7Zv>m?w>R3LL{)dSg!~Z^`evACN4vZ($o{;#9EV&dBAp4MDhZT0B}eO$B#2d)aThf1~@|S-&LJvi9>U zFjPA-skdV*YR#%~d~sah8;Wi?>$w*YbGvvKB+R=3^&r)cYqg@TC`4~w(Ri)d<`tnt z7LnHAz6c9X^Y+=&y(~xpXRRoo+%Vm(Ryrw2uEX!^&*N?-Jd3S5q!`6lH<{E84uK6| z@@@BvTlqe=j==7msXwx1)6)*bbD(*F76vRI#zeH1I~313Mx(Vo-yto7lT;w%qJdD|@{zP}%XiHQr!4Qm-%Gb@F>7PIyboMFpOx zpoMDKk;Rra!W8}ew>8wO@Mzv#;lyo(``@iB*e#GVfX8#;*<2oBz1B(gZ`%K?alq*{ zEh0fyeOSyaU9n-^btaTH2v&dEbMRSc;}KZJW9k|7%dxqJ1xDO*(@b^yb4^Yj9#sX1 zCjYAF+qoe?BB`T{L)5V;6^?|E+1za7o0x+y|dYno~TSE}W zZwQR>=8CG54oeje6lU<9(|~c#`Zi5G34Q(|hey4%%FVa&YC5H4L4q`^g!O}l4t@J7 zCXYR@VJT6LT$%2yHs=CsJ!l(tZ_d0=h#Yv#TD={+YCk=WyOOF{r?9rdN$cT!_u6g^ zMlmV5+-<>dCghk}{&&?}l>HMBq>z!Cdg_!)!--E3^2YcxYEVvJkPoAacC1g`)5i2Qk{42Q4t#@K(b!l{ z`udCKU2VOSzBrG=_yrEi+n8)e5ohdT=Id zn5imSXBdAcofn}-K|n9MxviySSo9XEA5 z6`@{Mt<4_CW|48km%8Swlwx?#w3JAcD{+ONCNxg zWP2-ba(+ab{B7YcUJ~PZZ_0i8reqG&pCz!#NLoZc^f%QXVNzhgMK2%@CQ9W-K>BT_ zMDtY77L!;Aok?1N>B>|RYG!w9R-y_G+qa&K!NznSPp~;ns{)nlhw$9(%gQzaxBl*L zl|r&qW4i>z#>%>!6v^@8^w?SZ;_~*2X1x4dV_=+O)#y(OVO06hzv_WURxV4Yv>7tP zm`tocEFzN6wY zMAkO6D1i`*+DULttk6G8i%yR&G1F?jOV!FLjcD>u{W9?tCt2ZjYElluD5FQb%E}mY zz?T|#TC{Kj!T#tPIojHtw)`dGLdF4eFx@>U>%I>L%MLTjI+TE$u?KJO`Zzi*Q`F_T zgm_#?v$DirTKyDT(UPp%>Zp`&oiT$cnSSP)g`0!85nJ6HG6=TIx|VX=eNw#S*!cEV zX8WtaPyW)0rzt#=grNV9@$!P7N0bvL?Qf$sJD&~CVZV+Nmj$a4b%aBe$E0O7ojgq7_H2i!|?hGSJNz> z!x~6#v8p0MXzIm{AQ}epn{%XLPml(mYZ_dRO1{+#vNC`Z9%$Tv%j%y_|Ne&_e)a}0 zQ?KYd-5~TUjfW#f;iw^mHxYGI|I!X`*^Du0*~SW05zR#ZxXSyMtn7^_+$!VEks!Zl z>y~9U0Q%h3K5+AI9cdTkBa5UED&gp+Bkm$2R^Q#hNp84+@NF9GcL&|n{X4vQapg^& zjf{mRzf4%jtCNASBdwXs(|js7z!_?hZn|?kyjSq^dkIkBE>;ElABQwpKbx7Jrjjp} z;S6wsU*7&GP4hTnHXa9mLt-tl7URzN0U@o^I4 z$~r)?S#jsRM?~mqkjXOI656n_djQY77Sqo3#}}#}NPcYwQwET5r*DihiQ6YsWwsJ_ zW#~oXMaA&g4#yXcB!APjPROQ6QYXN^Pi|lMS~3RZqtp?E>#=4N-jr=(| z6hzXbDwgL3O6owBW9#yek)OaDo2%tP-~XnB$BdFt*D};2rFEiV@8JyKBq_Q&fQdEv zU_mD6R7q=hDqzfXSuX zFSDK)wr1(Bpu8und{Yf+Oa3J4QM}ZnrsI8G%DTY%ozHX0B75=9QR-9srt6K;q0y8% z((xUbo_%MbK{XNU=;zV>Vl-EH=NM?!DdyLMSW1}PK?K(Im|LKw)$18BL-v*aftRqqV|K<7noVhJ*xqe_E zm$iF}(ZK(ga6kYT^bb%n%o`$R{>2I8038gsmwI|Oku$u^|3FY1MW5x6E&+#I*oc?Y znH?k49at2cQ9h?#+sDddFE@o6w@<)`F*0flDV)*m{8iRtP-DoF+$MblrMbl0o(ptt zC^WiFxHnDD+Gsa%=C9$-;e>1x|It~`Z7t~cxb)`egKv&s*lJ8jUm2m@)gR@%(L#i)A723QP1gG~FMiHd$Uf6iwYo9&K(D)Gair z9V*dw+OL=En`Uyq>dje_VeOZ8(h>Dc#Ki1-jfI9JfTi+1jOHWgb*b+DiYH!+bTw6D zW?T?BIP!m;fxJQ-o8M>WSYAO}ojg!rMq}nqP0rml`Q%^tCUYFi(urRqs{HW}4&EOj zQj`a%0h@C{Ovh(;dXQAL2c~}qU4hCAM{9Xa(|#B0wPZdsoz+lby{*X)!m+u~`51w$ zwmxZmAqhanr+{OX@stO#I8fQtfxiY#uQ71q)HK52p%y!Ye{ zFydS_OgF858wC?8URNX%qH6R;N5`G29)sjBkpBgSZ6F&0@;?Bh4)1IqPOM`I^UUur zPq8SsId)*FYr|?Br}H@X%hR(Iw?(VIaDKO#+a_OuTp@GRR-t5O@zdMuNoOQnZg>8= z4vL=WwarFa@RBP#thfcv`7`t0H#>dYjIAZ^U5$SMtPx83cj)_^Do17|P?9srTvkqx z6~R^6&Fw8>90Fo2le}*LIJeLtIsB!fS-eBrS9C9B#xgrUrW5iG)RA^xmsB~X+M&b< zZ=CBl*-xgxq39reB#O!PFg6qoMeB$peAq7B&S#8CZ@?nZ$~J9Jxn0lg?_Xf&RU!Lv zjpXxk9Mr90_kA753l-sHVK*_kZ{@sMSq;hpLw?R!;jBxUUlJj?)1wcq! zRS;!%-Zxl0+%xlof?d-w>vL?=f_aivqJ4MXwojJmGFoEi=-||vC^O2YV{v;*;?(Di zP|@dx9kOy726R%t`h%}(KCP-$$shNvufWco*DKxVxexhfpk53#)=zvm`av26yHAbr zYW^WN!hMh2+c{UVeC3Emgwdh@`WY)?pGiHfMIf60wV-PT`Q z2emOIs0WFO7dXNR$<2c5YQ_;c5@D*36mcci&DS64OQ}nCEx3Y=6-v0&6A|#2Yc2`P z>8^fS1uM3KWm}FkPr%Fpz&TYdIX#f@c!quCiAYnctqTNP;9z2pfvV17XftS>-IXEc#cdWq)PX*tY-OE6&hUUrXO20-)nL|0-C@rCz>g)O@yOHWDOq2%VLEnvAhUL)&Q;7< zcz&bH8&@8UUTQFeiKe%<*efE(EASa1{e{WOB-t;gDQ-sxR?232EKA`~Vq$2AoEq1p zOJwM(mu`F{jUay^FASbjA1}VyZ&FJOFaQwAFqvR;1qYd`0+mIe#rLXYt<)oO<9W{m z=b+bg{Xqt$HcPtb^Tf(XnM37hDWZG%USMekxV8gZHr9`Bpk(5?xq+3FyRgi8(K)Sn>lvF@EmCmI*B$i%~ZlqSayS`_A&pGq| zGmc{n4ExkwS4aY)YH#){z&Z!gS3otjpdr16zPb5G;be|^@-=Rl`@OuIN}}J5#?nXd z*_IuxMg9e_r8*_wkF8ACgUXbgk4_Awvvb{QKM0xKxIj(W;ylSpGq5QW{C1`23k|FK z;RRtZjj{>YLqbbw(?LQF>8SA-$wyad%i`xcRGfBV@< z*;G?kr-4;8*)Nl(#|cb8 zc83MVUXzb5_Y1eTgoTibCZGW%=6a&${}Rh5+~4I;@;UysFWHhVC&p>RkCajgA(2)n z@^Lb$+IGR*?<+&C-NV(pRm#++0JF5bDMRm z#6-wyS3%7F%3|}YKB?&H_KlT-c3GJhwjuNBdXryaYqBh)7`i1IZ_i?_nsf>!T94=z zPH89vuuGeE^y9CWWmD?XiW{=L4VB2jH1mHfWB}5P>-qCow$m}-_am1*F1R+6tFc%O zAg z24XBC(&|re=e}>YwY3tCLiJ)PgoNm0 zc%Q@rhynhiCP-X6;H3md+?_pWuR5IPl)7690@@&$)>{0#p)cWM_m-T>Fb$69cM)H0 zgxUSlGgwGhd8>n>1#RZ;hY5Waq?~?4PDm_G|9Eop*e6Iv_g1LNC{9So^jBH4SJpQx zZ%;bcham;Dey#QUu=7i;#;l8jWgUrtar9-Cyx7oi(OSJmKE^7u`sX*IS6k7fA2a%gdQ|ogx?L^fn>qvo@_p4x)5e=!e72nZ zVLkLeGpuYoVB}ZRa89_YQbaX?WNsm9C`#8wtEV80N9Im8W_VL{DS&>ylI0N=w&1EN zJ)4zW3sBk`r)?5tuADZu+mHU32W4Dn(cX$N^LD5H$Z`sPWSFn-#Vj2z(RGRI)Bb0E z@CRW8vR?cbjk&47!23#kPCuf8zTNo+=&@9jtTcDTj5cetokYEE-E1JklU5M|6`z*r zBt7j)l`*N=PD6||bl&!iM5Vc7EP6EDf8kwkC+Y7BAA^|Fqa|5Z2~rvcP!|&83hCa= zndih*W^P&i{!q_1eM0Hja_Di30NU@Q64B2C$rS6=rIli;t)vXmJ56vSeZ&J>xb|1x zhd}+J$GJ|RAE=K4XOJz)e|baaI^85np;Oz~KplhjWdx(xBGjNvNz-l*EA2FZ5{@?^a%45rpSm$6sth%>vL+?i%H_D)1vcYf!mg8;R zAVZn6E$h_L9CB8KS1_)-_Vxi7i2@Qs@3Jx*Y4_V|=}&B+JMy|jBeo%%lyi~wR*2Dk z)+@ieAdPYcPmFmw2t&@|O>sKp&trg2L|1k3ZK4EA{5J(=lr8p#sOqGUL#@1s*oF3+-?!^XC5f#>@ zv4y0nzA+~lZxz(oyIpng;^sQ0ar}Hpu4Pp13&`m7iGasV1Ir`}^ig8YKBT&sYL4mK z2~2I+Zor5U9e3r*i{MW08|jiHSjBIFb%6#yanLDaxhcj4Vcv$@a)QaDi_1z$q zP)$dnjdp836!eyGO`lHz=EI#N{kCtm`WJRQsvHto`PHNOgUQlv_OvI+{<#AQ*4y#z zm-?am9(5js<<{gr7+<4YTIEa~FYt2Gsd9icapw>RH7G)lPjmxQAU?uUET}9~R=B z=5~I-2YKsYkNZZ&qvkSALjq`UGVSRFw_(T88Bdy=nPP`&8C0!|!`X*`4Lsi{8y$$7jBy}Z~T|{OL`V>IZ z9JDG%togk*p*jN^YIQ)i_wDh;^Z=m^%1_@isTE|Z+}#Co%DhzExh9GI{nM4Gm;bIi z8y{&-ZhmUpY1>dI+$d^eP@91**n) zT}C^2$?Mzj1HQK?jK3an+M_>S69vk1aR$R5K-YRqNaJi3@D6~ZYQ`q8W;^ZaWc z6%-709O5c0`i6dMrNLs3_!ZwD7Qwv&!h?i~xRu$e69ylNya8JXyn|!w|7ewPsuXa> zE6C5Q5iL*UJb3J|I#Z`b&UY{&W9GV`V+g%CxYBk$eR?M<5aEV7D_BBPJpQ{H@x>|$ zX=CwZGp*OVY|7^2&CGKX#9?ZXOn=O)K16vx$gY@v)wpGPqKv&gQ11NDK9x?ZI#5kX zX$6d|B$P&lS>v#plzBj!EC*Aiu^44UVM zuyWY0;-`1?_AYV8`PQ~Bbcil0WJX^P{(gZaba|cHnOd23!-fX{>|-DKAoH@dN>io* zafsNUS9@)I#zUn7ZYBCaq@b&NhR{klxpG)6;Z$Pu-POVT-Jh)ttCCJ)j;M1p2_*O4K9d1tpEq?I&RzbXY(ZX zliO%x{r__o6$8SAz`(uHWf;4e1gnd`FMEtP5-a;2wt5!D7dBgR7YECBf<;8#WkF%2z^}6a!z{J$N=wq>y1w7Yp0lx}D)~)brrjp>gz- zfX8Q;0>F)EYY)=Nl$!&Xdg%5aM>RJr|Booo5i$<3;V!NONxD`|SJQ<&Hrxuzk1>s( zcgm7YkXmMLR2&3k3}l~DNJ-h94;rWW6i#7h?b~!t?8u16lQD-G{+?~vML12y`2#^T zV#0UbcPhS*{^MUkxT%F`)>Y@qwtyVegA$!Ipyc{fyiur7oV3s3^R*y-qWK%qnUn49 z6I1eI1AO7uxs29{@R9BBxB&b})BxjW{s$7W#u|7RpnHbqTZ^b;K-%5{9Cp%IL1ojY zm*VrY*c?E(EPiH)9=Gw$g}Kv9U^G@)e*-$Luj7_w!yuXebX$<@skOu0xsv~JxTdpY z?biJw5ks0H7?oJbZ?$l)qif%{U}Nk4BF~pTo2=M6YA{Iz)Er|h)jFl?t7|Rn%%$di zrADq16;nM?(nRs~>$yUd9$)D{>$gpCL`SC;GrtZF6fQ;Sk1}&gOzt21m|U?kv0N^6 zw%p|A?Fo%X1j&9Vjin%rZf<+j*a~dKm9?i%%?PyiPi*IW!OVV-D*;$^BqHY>|2`oQ zjCs$e{D_mLd(Mu|O{b^p`#4#+a}&AR_e4_%`)7QUZmU6YN^|{$iBeG`F;<*aa5!$O zmMB$?N@4U!lrwgv{I1 z47o#|Mwc1Ra>H^YhNOJAFQUSBvSxllGahBkz&S}%Z-lt7_sVHCHQ0~=%tVb7#Yz(u ze-~1ZJ7-r~Y(6zYhUK|2j7; zK;w5CC?Ab~$8rv?r>P(Mp+9NOAM0cjz(A^0uVSi1eBwlqOlD~H+Yk{Xuvd2i4ZIYP zqNj#gmufp@c7N2EDLkCDsntJp0$Iq%E}ax+8Bc=LtqC1J$hQhiaTOYD5j&wi{G z9w&K}(!su2-zMhoo&k%OM|iWZDJP=R7OnYzoalJW=~X5m0y9ven3(O8d+ZzzYwjHB ztH{ao_ChYp7pX~=o3VjbN#NAn+&TJ^5A8kQTFiZaji!H%9{%n_7bF5g@L03$Rv=m= zxdb_7yXhn_M0`uL+n&S0(!VFN0{Qv-Tsfu!BTUN1!#rP=yLPL@kTg+?_luAsW>N}U zz!+6RSONg&05t1%a8zjcq9y-D$Bktz$A|Gyl@#0GrC=U`E8g zlB%)A)$-Nf2qDes@jkfqll7P)BFX576pgCTiz8HXAS+QXb0c=YUP0P~9Y##S5MJzC zYOU9TSBkv)c>GFet-{20b_fSKdJwPlMDIVwHxh}kAGd-kzve{QNe zB=FVV`_&BgTab_f=OO@L0Ia()MZUBBxj8)rJ+r)m$ocRe+dZr1y%{S(f2Tyt>uisV zP`$u}dK?#H_{jUHvYlQGyNixHuI!Hw-K6>7ixsa7rsPXb@@q2O)9VUTe&*1b1pNO~ zxbE&ffViUA-}8q>3Xwvq>Q3d`Eb~wRA&W#M2=elJO;G~0plzF;b1~L+z71Bses4U; zWjr{U^WOLyhJvfhp$C8!CBjnv$&XSA z(Bi{rYG>7bM7MtPRZ_}enO=k4>Rt$<>>LE z6F8B7`jJUC&@2X+(fyS*1YJK9rKjuvz6w-&4~%FblrZX0EyrSgEWJ}UqaBbz$ym#S z`cGmt5eJLc0R1?sE#@yVQQQ<(G8{o9_Y=z;bTxo}2vV<5Cv)Lu0}HFAW$(q(l&Oi? zEBhmui4Fc2GA~oh3E*b}3kMk-K%}V;s_y-L@Ajj*V^_bC1wuHv2}u2f2Qe6SR*RkQ zN-s7{@r0C`E60YSu`WUNfpc>6Xkl;zA*4YY4?k(8rOTSCB_L$=nV&6QgiVo=`ZgJW zEZkKi_21+6-y0tJbsYG`ab$VMF6j3ylVF14h0wTb$q&c^g&7r3_#Z*LD!b=UDY;uXN;6b95EjLassD-!r~c#``a&;5`#qKsbn5D)3pTC&cRu|#T{{UWtw_jrb6%eT z{AdA{5MLf=*c=S{MALkhi(3U(Ux@by?!(es_20e2cF!Z2S zkc%ooA9{MueCXkpordToB$dX~@w4qwrf|9f!(BQP`t8T=WJVg+Sx3{*jjbTm6sn8` zmygFz6d-$*iKuoOu3#E*g9QQalYcxXUxpk-RsZ$%|6~-I$eeR z;J)YJ8r;H29>+E!!CcyBiR_&ITUG0q!jc6jaa)otwZC$-APfY`rg#dR74DNJ`3sC0 zw1ginjaAeP-9}|3I1?{!ufiq>GWNicjAt#v$N?%prlANh6)jjHhS&M zj|D92qCwz(7?uO(icI#XDWoYT&@sIdDiPQ=A|Wjs${oDh?8j_P1>nfqnSDd}?89BA zkyu+$0Es_Z+EX5=rVtTeqzSpi6>Dt4^_$Q9*8u(Z)0#M2-*N3HWI*tmP~7L(SE4>_ znSe2qxXq)`NiMSlOO2h^8Mh)zpfl8}ZaAHQwB?^r8FaynTDAxoB2b58~M|cqh3*s zJUf~S`HsisdB3O{fxI~hI5spe|1Aw`<^X#_=5XjXb3CJ=vK!s!ql{VHfpwMhMQDe zyNXIZV$J+lcm?oR-*Ke`f!#8}6fjDq-Z8sh@(>sdAQFogL8}2UsR54|=v!B9=+{6m zaOPpa_D%1zu*y}tDb5aplUtC#C1iW*#E@eDdfK5L30SmNvGqo^AId-j9G_xC{#^^? z(SgRDpU}1CEsg;vdxwv6Bcbe($PQ8aU=-9U+A49zfwaIn!?1cj++oh{`#E`$&*s&K zdn6*#laP%n`xa(qoeO@`-4=4~(y16o3e$oaR+WL#d*iCtPtf(#v+DPEfJXvjTQxA@ zU9()yaWky2w=!uA^I?k$>1>~JGTQwOJ_=w2RX$Xoxc)Hc^}WNnMauF?`mocQA6)8; zzQ!nC6^@U!1-7A6unyoUnuz?XXQM?3k?#l_-|igI`E^*^J)eVTs1XB}oAV(MPg49o z!i(+s@SJUmRVSh5jiNtd*S{jSB|M+aAD))nP`JYbzm_nkWktO~jaw z%H~CM=UV`7?e&x6I>C}?@Ph%o-~H573b^GN@MH%q?0?E^IV|%TFsqGo;M~f>w+P2f z&^HQzCy*>*{E%|8GzIUMqKukT(V@?BJswsr9aO@(%-yiKo71pk2iB?Vi$Ah=VIDBO zC}$X*p#O{C@4vf?yugZS;O(w<<9s$K2b_K!GY%IvoIN#kqr)T&v>t>RaJN?&e)R5{ ze_%}*sk9w_0tQ*+_gp$JPp`17=)RT$jM=Y(c-5sbo0L0nGyuvuG`FP~RRR-8$yp|3 zU~_t2dS+jXa;>}LMuuZZUI|$l*yz>l$A(pBnTMF3+@IsU>o<_~a7)cn8@G?*F z__ip;oig#9pK%rq{BLy%XvhPmcQ->Dt$)J1!8mSDhc_!$EvY&2udJ##tdXzzm1(*C z2U}Q7D2YPjDfG%SIqL}1Vb8%vg=k;Nz6eYSJT?$Y5n)+b9!qDwL(?&ov1vkD1PA+`0uIki1-nBA5ELa9KU zx`CZ(F??Z;Mq+XCoyv_1f!!ag9~h1HZ6WPhOuv!wET4j&D5{}Eg$#G=j#c;N zyVad}z0A}Z+vP;|(9WmR8fT+-X@BXK?J!f1S`|<4X&A z%B4bp*a)$9GzZb=2lHtl>Ghw} zW{YkUZ8jI-{^~x~ips{JMiP&dS&M2Nq=$MY81KnWKsI3F+&5>THEgbpusIcAj0N(@-P*KKpk@%~ODgH3tmn#h)Vzo+m`d7LF)xA?;4>kXJOFUM*adaX6nxh5~Z953?G(< z_MZ)y953gqrkuewwjWjcYB3_XyVKu9Az$l@2A^5F;D-ZY##o#j)Vr4mlp(?Y4=2lnXXtbsy$y~gxR<;xTMJ5U`UPFu>ubjbad<*Ck!RGo+rXV|(A=bf;2Of2 z+^q`vaGe2?vA5PDCd8t3YMrO(!6nH8M-x?zsVi9ITMuS0~x)Ts?D!hy-z_b&OC;CXl(Gu>BN zbDGLQ;K!hXRmaSxyS;8<29;nwt(e*-BVSo0Xg$|>HTB*E&OwW?Y1yNLI%|de_j$f< zK`wRPAUD-ygX=eHpuzs1DjP-Ex)1YAxnc~408ywG@p4Pkt49j(J-Juphrg1AFrLkB=xF zJ7)NpzjzXq1Me1&9xw?1ScbIF+q|vN9YL3G5txW}0;kak#}-ZC?=hblG2ruP1K0ZEX94746bR2Tet6%gwVchVJYkv#h^B4X z4-&q#h89uRPQb#P=xd7Rr`j#0{3^j>W=mlE;=5j7?(FSE?lb^okeT?s%sH^zsA}WO z%TKq-6Q14=%cFA`h0FaVU(}Saqq6$z_V1?s`yAo0zK{Tbd>mI;qyiy#Mm6!h=F>)I z?TBNObZSig@p>x8dBM2165Co@8B@`@H0DICjSMBL*HauyoFGS6n7H4bb-io z!%u!PQBqnF2_lULZKM+wrlKK`w<_v>QGOFraOjZ*9)2nay^*5IG!;m!=vkOrItw=v2aO~wy9j<4k_2Wru(QI;Sx9K)U-upP$_8O@)9|F zwWq5qY2?cv<_^@H;$6RsOc6(kB{-j|JBDDx&HGnuwuVH!#3}8iy)l_Kc)ELWIOAMv zR+Vp?r8#=0^k(`wxyG&efh;u2xO3Z=E$gDrYG0Tde&+%7EUa z|6WNTT3v|Qn86ApCjh45b&OHN-w1Wylk$9%KpCox3Tna!xI_^qQn-d9hJSd++%%MY zy%*9fqefk}CUWLdCP*jaB7lCXM_AYUqM4Mf5gYa<*?XjpIAjTE%*w#uKZ%TCb1rA3xP3xO(fq)paO(q=)+Ivcl_E zxatK)>Up}C+f$+j1iv_EC$e6<$v5tOKcdiE7Ibb~BsI5!DeHzPBH+N85uo zABo|ydv;Hr>*SJZ{uM%w0c+lAEMg@kivV9rlRdimByB_`p6!6T1=tGpTPF=_`BlWX(Y7X|I;&T&D|V5(CA>PgSoXJy12S!ymDt4Hnlj$@|!=xMRL zNL#yrjvW9dazB6m88n^Z2tgokzpRppuMuUSNO$xgBK=atKYi2Ld56or?YHS8bMMQk0 znK+tK#u~%5@8b%oH7ib}n}H3Na`srZ^Y`jEGFTi!egEYpzbn3Vo8+DkAh#s-ssP zq;1KrCU)>noIXBp(H^KssOPO`X3n!s359K}^K+Eu^+u`e&MvY@kTLrwk0Kd1+Eigz zMqlIA4ouI&5YJZ+x52>v!7Y+3^nIr3{3`aJt5gu^(UGufAcdfSr(4*ph@1_rzj_jC zRAh!w>qDKt3m#|B{nKTewiCy{n0*~x@KCw%^-SOZaPI7^b7USn(m&L?cZ=8xW%UQt z-Y>VNNO^AS5#pJ)PO9?R`8Mnp%(;3N`?WukCBnNs{?vPzc#RL-5Bb^-T`u*w@kmQ@ z3&?b&c1L3#f7~-zIw;D8p;xh?@UH5tQlxn=WZJ-fCti4Gs0>ZIAABjJ?X;u_?+qLV z;j&J6@Sx|&YGV_C&BXW=A33R4SjDSVYgZjPwWI!ER~QGKj1gyBTMiOwaJ4}nb*R!+ z3LZ9S2PBj0<4VfF4F`7!3`>n}E>E-?UD<)U-M0sDrw^ZOt980I$BSYqa>4Fvw=Yn| zXOV0Tp7g>K%LF#JiVnRIM;GsBqkGp==BHjFO(;JCi$4I#bhT+MtKCe?Qt+E7C|S{QO% zZ=x5W2O4QVper>tQaGH4#Pt0(7Z4&G?@Oi*o!^ z+`D1Qubu}CU|X>@L9KuU9y%G{vO_rpK^=+o*BG&_jjcKZ{6)v~3N4yOT7z=joL(R{ z1C*tV!6FfaY3C0BCE|yo0ImQS34%)Cj`84;;+Oc43SFdkzn#8muJx!DsqYE&9 z2)n;RM{sfM@um#w?%Rt>EAO3mq}?_+qWrCo$E4@W+%<_ch=Od?=-p6hW)I; zxd>&Fg<>e#p@Ya~f1INa+W_$Vb!L7)Hj#xz_LHNkyL%d6RzT2GZ{$(66xKLhGKsi~cX?~0K6 zEop8Gk3eu79UTputpNU+99o=xj%hlS*x}#3)3JW)ZN(#Uz~Eegu(SLv_UW}2&gsyJ zzVy?JYj3Rqs_uNp<$PwrkuSD#}1@ zIt>R>DR#HyQFYn6<}O_fZDZYoi>*_guVmF`CsnoHvpk6*mA?=r4OV*fASW6>mWImd zXSa#jpNYvNsxkIW*bW@K{x+CttS0PJ6NG>hVz&IGHKbE4s?1=IbOe+>K=meUg_qaB z&v3frex@9674bPZ5civbDlWj>xs+i21o-M7ab#W<+|b6+z;SS<*dqA2xdRFco+8O# zN2Wf>?s`SzpRx-$DG4s=+rx9WRo2}7t73LD7Yv9N~@oM&*gGPwNSdQ3s>^f&q=Y-*1ymQEi^2i6{=N zjhWFXTFgd2w^I5%@VV@bkYQ7J{OF*~$r+%0j0uCmFrWjOF7vKoWSNA&vze>ob_mpX zM#5&;LWMjKf>x9EK1vYzlDCk8cT4OlL`KRH)eX6z!v^vW)sGewseQJ~7GM}FqhdfD zh5+48Q!v~Ff)#C@o#-0HT3-t*fxG|`FF6nr|KNVkjjoO`_A+UB*pREC7S~#GF0;jK z^HZROaAab-*41E*r$ml$_V$BcC!o2ukja!xu-^GjyO3Ief~dNkiQ2jac@azE6MTry zXYpOOzTeJc`VY}RjdjXj?r^7ViALc2>|hDv({^9gB;5@lU$5|XaVvkPTdKMPthTTW zOxszzgG=FESex7}#S?L65A~1plbNES)ccd?_e$*c6Z8pok?6d+xh~aQ`qCKUx{TTk2WP%PjPZ;j$B`Pq30O&x#D%@GM5PahaT6rzXJ=ilAVzi*ID6aR)q_~r-`RqbvH6bm zj-BLTLx0G%2h8M(yM~xZLE&Ih=~=~`icH~jannj?-vdN3<{bLAv)?4H<9WQ~6*Ri( zYT@3h-0Q5|FjU))mOA_*2a(h68!a(s%35PXy`YZQ_SqYb#U0{W4BSZl8gl=)L{opV zcIlOZ2<|rKF3tcm)^5i4S7h7fRRf3S2kM#*n<+AO;+QTUt;ojmt0r*)oc^>aqSjwo ziQV@gZN&U05_4a8D11uwk^zo!?bzb+j<;#n==~f_^Y)=Sa7~Y=t@)uqz$i}bH@eVn z^l0Q&SdO->7Ew)IjrpsGD^}Mo;?0XN!sNVR6Yd(SD#?S|GDfu%sii`n@ z0kGTTOH?E{#le%QY>|?b)DEV0ge$;Wmp;{@Pr?ws!vFPK|NW_F`^AJ;1y17UcY=FFe6ga%w_dS0DFzU2K1LZP0pfZ)mS@>J~h>Uwn?RG zL_QRJ2gyePt>>-t$vKey>^)Su8|%@7Fzrmeu)~UA`mZdHyQAn<*~OG+d#r%dQ>cm z;y;?uw{E9Txq_GDWBCy9k>k_0vGqtLO~Gn1Xgh^eCrR+}d2DyWt*l?D}${H+=dvSywzX?T&iU^TXZ06gWy?JjLzeb(oEVK&dLR zyIWGZauzC3+R+~N{Qc_(7RIV`VU`w5NUXptO}vi4DB~mwkYdY!7h;`>w(V_K`?3If zHwa+TDEP)CyIn(C;Z(bLdY%mF{)@)=#V}XwN55VbWF=pwRuEb_h~fQ0n<9X`eu3+? ztfJ1HEwyL*;b(S1j%7;zuU~lOy^R%=0drun!olKGd z_Gr%cSslu=U13{>-3KfDb@=(2QJGPc&!aL?Ii5Tg;nm%nS1%hMe^=k-xfi)}CU@+# z87Tmd94H<7E z_X74c_#OQPGO-Ob4!yYW08J0@FM-B&w$VYxppxKI2w{lscpFxRI=Kg%2 z-Ou}S>bmdzV#giJAbip&?tuNr=La+S>CvU8xE@DbgC$2^aQb~3&#awYb)N==cm{`b|J z=Mj3O?ewWk#LA<@^52y7;5VIo*`MRQB6mPx@fb%MWY@}Vzk%qs%$wB*O7Du^VG`zi zdTej>)e;YAj{(kg;dtTaT(IWAvv70+>>}n*tR}OM{sv_ND9SFLI2pPcrAc!{!eRk> ze!C2)F1e;L9-2&~X&VO^+?LL-DK>deh0`1$T;71I;}3&?SZ`dtKHYP_NNU{8qY zAOKdQ?!nWEyH>xl{LjzCLs)CQ=TW~8zgT07=y?y8KDW6n6I0Lkj@;M4=WJt->NBeS z^^=DQurj9(2ZP_q5B@H>XwIXtnf`%dmg6kZ=mmM%lf0abP@h(23bm&#wJ*bbvSh2b zBWX|IL)Fgkgkd3vz*bd6=e~mQssE^Pv-WVDeTeZG;WdH5gnVj%9L$Rfv90*k@t_Fc=d_%<$%N(9t$NqX? zOn}#U;b`<>zV=o(`i+#r4%N|Lpg7I*KkYJpAE@V1k>SB3Hk%2jgAm} zaQ;nweQCgV9T1p}DZuppv+1ZxU{J}GfD>yzG#wvL!keN@CE^O4PSMU5yf}r^@Kn-- zgAB?-!0pH6HcKCQe4iQe3?}uuuL?46O9oDdpmz>y>RFZq(5+}E@uRPb_t5)ydxTRi z_eTS0Z%CF#q$RCK$x3lqzpG6pk9mmQuJ#{;^#cK>O^iE^Jx0y zS2_R1Yv0En+h-$d7)zMGXy;REu(A&H^8-UvgZ z>!z_@;9mRQW61{)!O+-qWp4@FZWcF>_vX3O4#}5#-*`j~gZ-^Sa`3PdV#2c8D7w#6 zi*blPl&YO7a~0$S#Mt4qJiKA6-F|r_jrrI=tZz@4c9U0=W%f5b(3en@$fCFDN1!8N z_eU1ay9o~Mc?nrJmKQ1Fnj(=NcEW!7LuI`VeGWbQPSZ5f3qPJXLaMdcge?^8mCEx` zY{9Sx9FB+RiAhNgf6ji(H`LXIKKWvQzHf|pvgR^itT5cecN%a~>=J**hT@oZR0vhrD z6TCktdY@!dXKGalkl!e&<_EYrE_)l3ir8%{;sUn^q~v$xUOQ=RD|VEvG$>l_qB_xL z7x%cU zXx9s`2?Yk=0Q6Tshg=?~A@d8pZ;XG>t~lJxe~cvdjQ4E)^yUgRjmg^WGI7w?dQKOI zpGzq20Em|!zx1E5){NTxWp(`70k7WTy^kvMCXfp!ts^c=iWD}AFj(EhdK77KYKLeZ&

JTncpXi@bCHpgeKTo)y6&-NFyW;c ze0_DwxcFnV2E?}v_{xN?T@YAy8=$_17mc>>2brsy{mi{%*?bga8uGXIa~qV^{|~A3 z5kkY?@P=T?lJ?P^sriS`CWj1=JEFxPffbUi1(6_GQGZ1T@w=5ge{p2I;8Iy~Imhxw zS@5#Ov|qnd=T1^0%iO*S+|Vm9B){|Tw@A2tShq~hReL&h^<*hwf5n~B-~oi3E@VaU z3z1-j2-*S@$w)_h9oabSfr7^HG}z0b3;43Q`#Hy}L@C1*=WD#p?W|&$`5tH>+W^dT_ih@%%?JWE6Q{nc!ifF_jBDFhEb@|j$ zvDjmNfVwWIck%s;W=iT*kjVv?OFjlQn)W*KGYH09nAHK6sF~ZnI=L}9EVpIhvxYAd zEtld@b_<2a1@kT`U-21xpB;G*lO!4VV8o(`3`VOD^b#idgxA569~Y%RM4R@L zMK#@dw{OHEFenH^&-?s*8O61N4tH$tR3M!9y}Hwksu5 zjdpoXMt_Ve)QRaX?EGPU<{$Da)%p{M#nxDLl2m@fmGn(K8J|=U453o=aoUJUAgCt z7u~_F7hpE<;|u>U*aNXdkc#y>(^-a6>Ezc-#puT!JQeM25wOm@IrTBo9p=T6j(EvH z#!+@8tbkdF&x1N0*0P_+E;kyK-G9bH#dQ&BCMXYqCSMiI`uq*9d1)Qi(Hvi1HYRSLHi|0 zY15$smAE%KHa0dWj9ff4utq{U=!DaT0vq4u5iI!}(y6_$w>?Sjt)6I$w`%j4w}5Xs zqt6LAs{Rg0&Rx072P(Iq?4Y!3A^>Ft2vmX|hl~Kn0JuXsB@=;G@fmdWe(x19FSKKJ z&5WpKGEO=m2=gL|Z~qpr>e0;>8EV-b-O?XGv?P5nPAiUbeXSaOlz=K3gDNoRdU=CR z=Zh;5arQ@uXfiUUL%;3==1X7Sf)GMqYKhR+&dFuWgRS$oO-}!NriC=oo}X)9vx!Ht zppu8IEPjFQ9p;}#pZ1@H*}PCgW!e!$n`lH-RVrIm?yEOW-}eBo1tmW9SLavjjzXBK zkJcAAoSRHz+g_c*QX_fBl2tSpea?5~8ux#W4kKZrS9Qb^)MBNdL8u?f~F`t0m@tdhoKUFltiQ{NC*Yb-&86xwEe$J$!pBP8; z@mnNSOQ%HG=qc-{lM1;lN0!C+)kHH69ib3$ScNm0c}c;Z@P$YA6+bJnLFp(c1i_l( z(TIkEHwO7EkD0Zzd)ztR@SP`^j+`w!O)0cl{mTtqx$>;Pf<&ili& z=O+I$ozwbYa=#3%ZdCD4d4DAKx94eow~YB-h(mYwy|MNgd*a5I%tGtnf9f8^Ji9w> zSKe3#vxL&uDvk3m!Py-G%2>-%RamD#71hw_uy~U?;?6kc!zy^1(cd~=HyNylt$MW# zn=dYk8m>KCj(o316UHpxTS!#zig`>uZs z$o3OsCm47>-8>PtZMpbBCFV)2spo(}N=BB(;L1ypHU3d~AWfy9?Kb;~qbXgCnVE+H zrct(M6Fz@M8QZHJwE4q@Jb95?7dq|@LEMgqs@}^)fa!*ueS_d9dOR#$YNTE}+qJn_ z$olYmZh;eI3tlnM%PN7%6PF>OvHv`V(Mu$(68WB-M&ItT`b%6+jF!yzb$3)ICxo=s@o1N8eOX`g-O5UL;`;KF*tstsca584QpehMAB);DaQxnUD z3H?Y&Wg~m*?1~6aNq=4pJ5@fvI3Ok1O50XO%p50SU99JmECsJBS|u?G{fp#*_y?)3 zA%vloxVRJd8P|Mz#a=vNk)E3tz@~k)6_7e0A77VA{g8gnRw}tDDq#PM z17c)y?oe1^xG2=_lWo*jAH^vp$k16uYStwTa&uO7v3}DdG+YX2gRpkFJYEua{`(Mw zKA^h|`~<%-zJO{uN2w(deSfGS;=h*2w>^HPpU$aY_um?Xd3HIR-|S4H`Q4dV*WbRi zy&s4b6o zT!}+RXSNnuYA}?UUVXEd|IE{{?9AuUAiXC2S^Q(=V}*1HDm*X|V?jc62G=%=0lpk@ z^sgNPLs3tw9ntjATR(kos}}65NY1oYl(^eS=A+keRk8k}QI#ollx~7BP(CK9e@*WX z+b6{Ze7dLYjI+P3nR5>*cU|!f}Y{a4Ic?k&wR;JRXB}rRydKoAYdL-NyZrkErrl6@NDao4WeAPIse#qnZ|^W zQQ#S6*S+~y$So|t`yIqG8y}SFY@mcoSgkgWcpP_@8ITw_EN;Y{78Uq;G&9{*Y4bXZ z4I*22Uum7jtVO*!*qgn*eu%bj*rTTR3~TFseiPe_I#3z`fqnd)=AYk+oLxj2=Q3;@ z91S&^nwld!uJg@3pVYR)Z$O!IL=VevZ=Rd=Y?Tkm*AuucDI2kh!Dw9*-a47sfl?>! zzQ~m|^8B2X^a#`=Kv0HPS$_s2_~hu8>G5~dgGgEeFA80Uv>kOXlq4jy~X^#jkQhZ!EluRs4=W#-YB6!al2k{?(T zVU62Yo!a9NjGs@k{81kC@H?g{+E6Bc2+BE1iV}xxJu6eR=)+9&rRcOo=#tJQ-TU!Z zG^ZoV_^Qifgd}pAJJ`Md%W_3)yV25I5e@?&fpc)?q9;=nD?5c>LhL6N#Y5LWmwBI} z=o(0$<)BCDQPRf5m%dBFSNmj&6)&X9bH+NUp;3pq1o;cnC(u3Ik1!WSLtg0EjO+Ix zx2&UA9gxs@LJXFcId#Cfp3pl%fvJ`(FTeup%bGU!ns`*+($+qiJNK<|Z3wzi%CP!p5!|RMqDcQBlNWSYN>252 zfw6Bwo~VgS{@ns7=Y1gsiVzF;A8o>>UWF`2FfIg4@g6mB|8lL1vOTS~H zEiYXAtaQzZ`-2d%4~H?T%4xq|fpCt0D%lSGcdpcj-&NFtFZ-ePhQr1)TPLr9X$OcA zU0t$s?kkaX=gZ*^C*ztw05NgiwvqlNDA00rm&AIAQJdgz3#x2!1A0yLTB_-r5{3;x z5(_I3mD_!^c-`+3hd56ysW99Tzqgb+MEMVix3ZUHrv2BFFQL?6r7 z9E%B(srWp8CHbzM)tzkz=Pnp}nq8%W0OC}Wh_E-ec`WKF&E z5Z^1@9yk3?y0lGOQ1PyO0KXsj4Kg zD(Pnod-M3G!mDUM9pI3hDk6*U?~D6}6V1q-cS~{GRcyc8OLY0l9_!LTfo6xaYxJ2T z+CcPs&QiQ)6OhKds#%|n96RPF$5=@!tt>Dl_G39$|40(@o;?pWvPa)Cse!YoLiqhF z2FX=>)hBOGCXPnBvGnYI`B^+sbVE5MA3z6SF^&Y{NC>QP*hxc6li+XkguYn>K)p#+ z)*k(4toM*u7!%_~KPG%y=Fe~Z#XAPqQy2B;x$P*Qe+j}V_aLFntjymhb7|Qv@x~QD z9EUl$$^caWf~t0jXG)(99@fn$l}{=%_dJgMLhg*jMM^p~d~FRdx`+%K<5`gA1M7B@ zj5jAgNirK+?w2<+91V*Tc6$qUZ|IvwD7$cJ{z4rxiM__(SvAC6$L^)wr_GdtUz$Ar zFV}wt=#uBHR(k9&)e>``x==Uy^}nb#l&Nu85(>cF^Q{vpSyDwT{`u3NSDAb%5>JeM zrq@W*hSOC(b(8+X}saHBV_nYm_X9U@wLh?n}N<#{RhSMh5 zNsT+WJ4XQxUWfu;2jwb9{rY;t=}XKlW#{EyT2SRb$`y|Jn}`d?VBfZcH6)f9Vh9sx z3?h@WCdD&bYrZ*tth{@z86XT+b)j&7zEJAL z4Ia#{EA@0uy**8YV4Plhk0?XAf(J-V1E6$KLnbTJ_jx`}OXZQ}!cz7WlFMj|{9S#C<{K#F-;X-s#KyxlH=6VI5XV!|&fn3T z37I#3-=C0!to|WAl@?yuI6XbmuLK}8SoNt{u=KT?xnitiK*8>9s}*CbdrT@mtBY#1 z(Cwhjs1c{U?aG;riV^c(lsh^LL6!qoPmSqq7isi_>l7nWYjf(BxICfCJ2#u@!Of*G z{-B=kR%S*dM2^atV|{10uqI#}DAysr=x7{qd%a19d7SlIZ8mSkyi!52^G3j9CU#oL znvfagrq#L5@1E}#r?8%n0_L1<9;%_NET!NkT)lsjG2V+QSxpD+^>JK#9?S$%Bm~^N z`t8MY`Gt`Am^J2f*NlRio>7NuqraH|AaOu92hy$o=Z;^(B+fwx>$GlF)t3 z6|O#c)lw7a*2LpS)^dBS4W{as*iC*ydjVu-!2jaqOX99Y8Zaaa>}Vfy0=^sT>+6lx zB(u0Z*%g^x5-Q5zq1P8-^zNDv5~t?ZcAmmw``=rX2#Rtcc*&rB`*p72xO+mE_wFT6 zFcP~ix}(r+|Dten2Eb-8hLestRzJIiu)pPvY)Om0znUrnf=yVW>{=fEY}uxjBGxGI zFDw~-ks(KUu0qOdLFLaPALWy;m{7jFs4=yQe-YhUBdNu_It@-Rm{ z!kg3r%_JxndhFU3JhDgWqSxXH$A3R+yp}vLo9~6>k)t??E`NJ zj_{ivEkQ%j{-C^?=ahhZ0Z=E>E*kJ1^z*CkO`yI6V+?s3)NYioG!+Xh2rY|kknr4L z2hA3+UBAs<)oLawP6t!n=^b@pOZ&csw&PfvKI6qLpZ0b>sT7Qjev%QFUudMW)dkvFz2cQ0*$dnFj>Cl+ge9=Jmyq!UIO9<%r%=m^NAJOxdIJhm=N%v}>r|NR!K z8F-iFdD+6`WbdKBicJxGM1`Ao(FF88bA>D)rwK^g{S6`oHFW;Gm0@^lRy+|sf~F1O z$l*~)iEK-+Vq5!Txem!^0J>EH>6AsB2=?QM^=gyvIp$7%E{9oSvG#~m=CQe>zJd;+ zNaHm!f3U3)bg0qsj>^}ryx@^Z&jZ3<3D7rn3V}VJfSTOi-+%dH>MH=+g|enCnDN`S zJkQ_vGQ&X91KiIKu*u`76a3DU4fn0;Zl8 zF8h3nE`%WD94_FR_&ia_`L7MXHecb|*H=AHOWUK)L}A-5qXhE{FRv;2aZs<^DXS+`j$-ZB5T6SI;Tg1C zIZt@%kH@#bWk2b_McWryWWbr}FFQidklrz`Ro2oPDxHv+YMh0UVWfsvq#iqf#~9L7B+zi{A2Dkm9eqnUe#?b12Ja2*gowd?JO%1Sx1n2WNR&`ZdnTc^}EHdh@mN4xL@?W}0nSLChT~LJhGi6Xv>&oJb*_0a_j|f*67RTjg9=Zi%kc z1mzF<^O@wpzF+qXRECys2GYR6v7+q?#$Bk?4uzSi<__S+A|+-FLSx8{9PQ22s{>s8 zw>`NAV=?{q5-&S7hNGx^_YOd(3;aF7C=Zy2GlmQssz$3Ew?equW>)R6D^10%nF36KFkp0X};@A7+fVXg_p46fQw`^JQrs|LuHi z%)Hx4jl(#J`icuiVglXkG9XH@CoTEXOzMO=*(qViNWrinR5{nh{}UL6gL?gkunHaU z?-?8(&RN(7RN98-4!EHkGLQcL9n3|~E8tL5v=pF)HNGV6N#_2&*@e5TyJ<&(;)!#) z<-;4s*3%}*-aYuUPMw?{Jo5h17kG|+k3 z7g|6%2VKa!rJs`Od4HH~8Oo@$?4J~tC!mkBmR}NNQE&Dmd)%$PnU4Bvmkr)z7^eHk z7kIGiqEB63H?(o83j*>m*!%`Tf%ICofKPrgkuS>1o1LcGf`8+yw6Iq{fW?U{DsTk) zNa|Dudu{eVwjM!^EB1`n*S)R^<PHu z6oY?N3d{gPN2QxjF>3j7Jc^o<)OwMfOnU!V8W2~u^sbu@<>*p$-Ih+Aq-7jWS988i zaAUEsY}%ABA?;SoeotCC;Aeq%y?(F%j?3{%k|j7S@JGmPa>--nq&-8}ojl9&x&OC=FK6hJ#%Q3B7G zsz~Gjs-yAIZhdcFle}-?zqnca#X^^-h@sL23AbA4JeNs@ru||5T1ON+$6&Jt?hN$7 z#2*!xg#)f~h+Z5WVsxzY2&Y(e{&R!KGRf`-_MIu2CzjlALJ~!O&QiZMT#B_@;6BX6 z_ieZ%cjKs;-AhMUx7aNkqtPonL}Mjsxw6rhOUgsG0*j{;lCIX4_uQWI+~Y|1gWN`O znqM&mG1ea@r7Dve3Z_a+PTZ5qH2f!1!n&52$Lm^PLPDTag22~=o6m(hz zI||{FkF=Lrp%xCQTTdeGgcv0lfd0g#K`@y+!B4l*#!HKCN4S93-wrgWpbrMr2XOau zNZ-GIUw`~N)dh@uQI!J%iZoEj?frT>+W}nc6Qickf|Z}&aq^9lRSIVZru~F_u5xQF zg)=dQv`4My77tnzQF_}J80p`Q{e%{KhP8^^P9QQ}>IZZdP;UT&5-6ZS5duWG0!ePX zjNtD&h2R@2xX+zQOdS{DGcl10^7pKbAhVf_@ydN!-+Lzkz9c?NBz~Rd6dD)FOeEdx z?dl6ufiJ6sd-s~6WnIf zmU_T*4AY9iR2kfK&j~==@?5sJAl8xncns}RP;pRRqo67GTt*rLOnpidBr336w|vsg zu^VK1K$l~daBdG?-fzvDNx-U_m(EqR9?Vdn1_O%5A7mPHd$mZLl{KVo*kzJW0R!kN z<4W1OlJjqben!ffOS+xsJmH{t0&+(dMr+bG_kPs}#dDLbBcJi8;IPx(k*N35HLsQ? z3$FD6|SQa1o6Nc7`n-Od>Y2?hCsHd2Z@+bbYePgMECR)g_t~}CynSzRP=T|vC(uy-M0e-=1%2D79=z`C?EdZb#P3Bhb4w0 zB55>!OA|8OQqVP&jE;*Pev0Yj{Brl&`{9*7=U3(wEpJ;`!PNlYe@T430JW)XMOxYc zdxNS=R3p7uPtOu9(3ev9r)1;Pya=?5^w2x`Q%%p$;89mogyqBK%Qb=MCg394+Q%X5N zy)0rdW}snde(|};j;Hx1qrTwK0rX`S(e`zG zhc+-D96j8B{cyvd?TFIc%L4yzG%1e+1D1&0o#{iW?2Sp~ody7gljay}JvzI~Jaja3?}8_*_)zy|fT zD}aP1Py^{mN#mZXgMS#aRs(emAaFwEQCl&SA}kP-|KK93JQyQ-8D&}XPi%WK$Vdk* z!s(JHZVU6V_G>dYTs110b6nL8vA26}rGFfMP(I()tSn2<=q6Ji1$I_|_ZYzP;8kv# z%P`<>K$B{SZ|va77vsl;dBH9*1vBMrXnM7-*Y_m|Gmh*~&uL9P#<~54Buxb0ypw(k zT{Q}xK^Ajdeysg~P3caf1-^KSW^HCXTGi3|TX8bQ{a>!`@E@F_4@4SstNm(^-@x|F zbj=~Mv-&ES9J~rm+vZqEx`gm-2{B~);&64?mZoM3HyZgA*%A^|DTtBgoc$OW8?D-S zh_IML&>%!M(-;519-5l!@Lx0eR1*|C^m2UVYMxOAkm~`4fCb~Pc7Gy)YT2ZLhSQ?v zD95_@oGQ2X%vGZw+1$zIwYXUxvGlWn_D;fOu&V=nfw;wCVSFgOKgjvQ`4)gnIzxz!?mx1*n~3Ykf zq6Y+H5%cJ(;R&*%;$Ww%Uyh8+o{mqa{tlV2m~S1mo0D~mKQT{s(E3d_F&e+ufLpHT z`p!ZXim!!alYJ8wk0xGCtXw&eyn8)-o16tLbM^8i5?jD0_*5oflE%+3CMEU$ZOhiz ztbMC>@3`o<_p<-&86*bkmS_5ym4zWPhz+WY`(+tE!yEd~5t@cFTSKjh!@9|=ioa3T zF@j_c@4Ih;$sXvu7(+lQ24)u+wuUlj!--q-6dNDDVyqk-=!z_n8jSl+37sW*I+V6wima3gZj zbvC?bNyl?cawyDhdI21a_3%T=|E%ik-A7eCyGWu22$kr5_Sqj}MPFYTrd00~%Dkgz zR!|MtzKZhN7hd^RJ8~9EDuK~n+b5P?XnYdpUXk5Js zs^ptVH}qekr5`I7Quy2SLnz1IylWzkq+7QpKvJ$Dsh*L&6AL=XQyIl+{&mhG=jp>u zY-vc|KlZuy>AM{p=R*=rU(>ZKFXx}b5CbbB0OSTK1?<`QwsAlM^`D{MYfawP-B$Y- zmVDOfwTMl3UuFs4^O50!%4iy-z8k^1PPdoe<~sY5 zH6X6`RLxd3+C~pj^O5h^N<1Vr>;jb4JTRAeQyA z$%>+sZ%yD&@t2g}Bw4)%J=n%&rCdu|aijf&4XrmFphY5?c0Z<9TWY^a{JUK6(_RTP z-aBJHoBMtVURgSGQ$DV@*u(vke-GE%PtU;oyN<-AsTme6qzN)>0-oS6B(+$lgbDR~ zdBP>*yol@Og88MIv{_-W5Mp&~OXL#I`Bk%b?{{e&+h6mT*Y7IXd;&l`^bVb-oqh&1 zdd_ij1^v-J#!C!bDYT9(w%|uK7MZ=@iWOUpWlz$4a=m|0It#A2=QE9|C5mR^qkTYF zAkSYsHEzd;bGV=C=(DPjK&3ofJUG`U8^GSaxycWpV$d#w3JXJT?8XnRP1o#+Xfoix zNzp~7EX0xz=Ewv(gi0{Fl@@Tlex=x#b>K(xc)AS`ErS=X!w|AzT+VcROqh2+Z)|s+ z+%iev8^3wKJ7{+HZiI+{ z1JbS)gfLPOs9(X41Ox^_U3v>`ryTO=JNNNP;`~ROZ%2L6T@#L$v0(`{joXkTNJend zVyP$XeAq&lM^@wyN9uor<}A6hN2t2i?LQlyO?KYu`5LPWJJN_NTHU^1|8{Sqyq`Qm z{5S#c??m)>^s8J(5gA4bAZz#~k@2aF6}sfK0*zt%= z@J0$}7*Q6YbS?zGPn*#vgrs!H8yL|aeXJlHQc3@!@+p!rWPa2~lC_L-t}G}9>Ofa{ zNgj1#(L}fTnML7oJ~4hHNz#C0de!d*2EJ{#gZ?%yt3M`kuQ65gll#jvMwKj*dPu=W zxv5&&GXKJm`gYC_e;S;s4*RMb#=WB=tu z=!s2Xg@Yrhv6rCpGA-!Gs>Va@w)vFaSqIsg6X&+rD&u3EPW~fEqzM7D+~wIflobfn z?19ND(d4Yy`IfW!+U$Y-w2>+ehkVerS2kzfUuv@oq2}#x4HP|Cvds&|hZE}=1n>7taZR* z{l-22k5nnx-bzz7WYTR*;s@ZJ`8-p2+NfbD5pG}P zFRa zaZ5Q$Cv;4UsJ>EW>RJzvTU-C}Tjk|&*KG>$Jh3!Nw1|;kT-=Y8Z*=y9sIpHTG+t!Qgg?rQ`y_2s`=zH{f>6a$@ z>59Nk$|RxLo>u$jbOUAvZt+UlE#;MXmOJa1MgL7jxb3SaZ*HTk?>%_NiWV~*)?M)Q zlnV-KF{QRkfq52@!}@4krdmU^rb`REzHlwa(v$;EdheigJk&(Q$xhD~`VvN6IMUG{ zI+Dx-P(7Hn-}Y?D!Pv0sZ>|Kl#TmC71nw=|hzc2dYOC~uZ52Y@%#AlyDZiggpl$tl z7ZyH^*ky`I_K2|A>*0(VaqIDbX^k0fp0AKb}@5lNo%32@Ors`ZovfeDY~4iCBj3>_qx8=t%xCX1>P zRCsjQzkCYHhGSI_TtxtZRr2%^k00E6w z8w+@M&5-fw>*>+-2;iuqm`T;LkVAu?ZIz*HD=8ww~jI|&esB}{u%$Gl< z_KB6#{Q>!7yZl&PJ;!l7U;Fk|xA<2cpQN>jG%#NisVo;-`WteLJ`~c_N6OQ%tHhEq zZl_97YT{9b>be6BUqVFpLd1Sbe^H&cwr>=}62oqsK{xY>RGeWyz7xDXew|MaYI;D@ zuK!nT$6k)2dF`1^+sIq`qu@-!i~|DH>TcCSX5YitxYPoQi2SA4OEI9LchqUTz4pTD zu`D^`XFgoADsVo^9!zaW8iH`6;JddPUy)^yiW{mcE9y*LD+f9-VAcmZ6@T4B4weE$ zlw0?X=fYXPckF(bWl$$YVUng{@_l(J9psa7@ol=V-zYbXs)i)qi^E1p2E<{L+$@Iz zQM=Pars5ccq_Uyr^Rx3uSiwvrN_=23OqsH*)m)i`%M!K`Keuki1_Ik8C3cli+-UW*07uMF@Ey`H# zxnv8*7mkj@9m=(0%v7{J!oVp=O#=Y=t9zbcsb5J+Nquv^$bYSKj<+sI&gfSWIkxF; zPv*r5N}xZO6#;vIte?k8= zQ=&4i^ukuL2_dby3jPDgV!h6_oA4*5ei_SHrhb2TH`U+@2}uO+^L; zJeTDzcA6I>{l551_877(D!!+;h)EFr zd%C;36Fy$YCHN(>r*a$vz3G_`n@X&?D3iuVWyXj{R3AQ@5Mua8dHu@<{dwKyRBidN zB$?J!hLjNn7_zC5`8$S^5(O*+({i#N+-QT5Ht6&?CoXCDiGtcx67@$_iDG~0nYd%U zgFwvVNg-UmnkSgqy?JvLOzXiu?fs04kkA%SwDZQ7KpNZ9Ze&J$`Ww4_`0n<>{pKre zf!iHq%wK5^|1w|P0Rhpw{6uZ1mhEwJ1jb(5j!|FX9Is{;k8{6~0;0mk`K`g+4WP0G zCOHyGh5Y86<+-(lb(LAKet0#Sm>pHNQX4XpKmaJ_+Q1A;j|@aG!RbQ!m~)^tL6t$_ zh@nMp<}M;O;sQc60qnWwv#2Iae+rm{F)1Ln*q6s}~wR+6ewo$JFS20xjy z`@5dAwAACBAy?)g2UF7=pQZU=2dT18^$3>^xOK#n5iVoxdr@TcE$iA7gla-C>qno* z{|*Qo_-#0mIG!(qeo5rD-b?^cq!R8(O@NOBfD_Q7_!E)f^~dFtCcUt^G!f~vSb+h% zCt9o{0Y(m~7#j6&N-94;mEYP-xa2|_z1m6MMFSMtfGuE`@@u&-&cM*H1I(`hMgV97 z%d>@Pg2@{R<;gb^B`v_t3xLb)D@!!i)`oyF2ny`CfkKk@{FIV79rEJh{qSwNpDy8y zPuuq1(Ab;jfFWxI)C-SepCPndLyl}hFmEkCCl3>I~&KZ;5B*XMCa!6$-wOsW)_XewYuc4^h zUe_sGieQ?-i$<1W#rT=xZhjX?p}FAFjDAv#&6A?tLDMFTX+C5fAKQ|f3uSiu;gUSA ztyeTD(EQCdE#J@LH@>yJ54J+kS7^Z00iz3G4wtHlK@h76%68=!F>amQkmTv#-9ZMZ zD`*q00w&Mm>~waoP3^7hPwpZo?YAc7NC}fdI!MH-{PIVRHv;od(n{i8%o-AD25O~ASw^#b@34rr=?9X zSW4&ug%A96DR^uFkzTB7uL82VnSa-)TB;xTCkvy(Edd)&?3^_wNNQi^rW~XQ;}WF$ zxeb$@GJNmS<0tYYSK-lJQ`U6gX3>ojIPa7h3)~_l92~)`%$roV`K9A8d2#YgZ0Q*8 zB2v0W8CWUX{Z+~QIse?Gv0|*`M?E}x{A3DGi@c|y1Ba!D;bI%qrdZR9`L84ltT2y$ zOw}R$q>zo8P8fYUOh2=NL);ySIexw-J#nm~mPZGM$uuDxKtm6{1EEKgmYyz{M<2YM zlQ$>BNC0+4Z;c0_wlTxty^{ZN*?u(AHx=|3?RI28{(;l=xs8Z?-ZDS?z7e@bb&wZ@+6BdzV;ybJF3cR*WNo61Q#ZbYb3Dv6 z-E&7ZO8M2bL66e62||MBSY!SbvS&Hv=Nm5b-`dV!p|EX89EL@j>~wPks9uPT-6jub z?t$3}>p7*|JF}i{Pf~)hs_DtvEW5-d9la=EqB0!QH)@V~GL8}@kF-80AV`uGz(tqW zARzB5-tByv!2l_LHb~j8U%w{Q>oblADIXvUHEIu33?BcKWTxW2%+(iu01czF?fWdE z{(K}jD34BH0LX1xiR#rafztwnL`Uo=qJz+DR0z z5GAA@OWDsMFpX{lRJoUGH&e(Rk`{Ld{ zp5hCd=Q~?B>0O` zn41W55vr`Qf)oarOn^a3r6+<|5Pzw_-6)kzlsK^>Nfq*$UdX=p6ASXn4EJdK)k#TW z)1J?L{i{H$eW2nAY|)=w>_?kxaoJ3xUbC`FZDtz=&W>(&*H@(zagRb1H;`O22^h8A z=jp5piiiC5pKx)n(+VrI3g;J|x3bY44UU8p@3(G z4tyPcG{75Lp=Yj?hz6T~+3OG2Uug5nN_!jP+fSEiLCoPhJl=(WFZ1WV)n@Sug$P5D z0006k0_RO33T>boRTvRtpBQn_fh~ir!XK?8deEr-v(gSWaypghFK&#EnVew*xB53o zCDrm`Hv+R_hBdDc(>HPFnf?o#qDzNeHNRZuZ2;U-JmK2?*=k-p^OgblDa<4eON2b<$3@K> zXzTxA0_`T%z0Jy++#64Z2QDL%&>BWghut#Ufyr><9+yq#uAn7^90*rUCScABB!1v4 zDK#n6;+V*fUnucFG3eq+{(GPT%*Zu4LSNfUrZEqD95d` z`9qHA%|B=Ihvr=2;O$mDREJ3KU%SeAWyN^c=YZ)r zEw}a9@?C?enWPp|{VSerw-m=~n`<>cdy|Vsc3TRtErNrlk#hE#1N$}ab^jW)TSBvf zj^K3kn`+!*a!r+_@gsRfJs&QG{hRwW~UOj8Jn|gN- z_+9esMu=mG9`YKX0Z+4gxklMW`ZZJk*y}HDaNl4FkLbs$ODw)K|`q zJmOwi8Z`NKqCJY}GeXEJ(_Y2ylX~BdsPRYA zc?ZcCq~8etbvH3PF0amJ3zY!_IG;45KRWal6_w0+i9p*0~{+I`I(&eWZzuH*=5f+ zKWfxKzTWHbUXf%j9tl?Ykl)q)rtNJ+{SU)v-E9sqXXVZuDR;YW{~CHyIlnJ&m}#j? zs7YB-qjqn=C54NPXA%{^tuk3XXxJ~K&Yp6?s-iJ7?HUP#r>~C`r_ui}OgR9)HjUSj z4h{Y$*!jMX96zNwGFzZf|C@AdH&jL-h@3fk9;b3Al*1KB>fL&nLG85m=%ZWd_?o!{ zGtg{E>gNZ!GUe>nQ`_z#*6vR@J~l^EshmYy?gY!;!}87ffsTlfPK8FvgLNi)5lcrW z0yPUzCbI*&AUxyC;l4?R&MQ%-2I(xQDSzdq|2pierXB(|#_O>{UU??@kNkAc_!5A# z8lH#^a0!5M0)PVi9ys5!lj8TA^Ci$IeS0WeR8vzER)E%gqN%#wt&SCh>Bl^%q-D8w0>V3b24if{H+;DoJnnvk+)h!1Sy>tY%5StdO{Y zN%hs^{zPs+y#%*}A{W`=ZXPYN-{;Zpfuyl1yo;w*4}L zZ+| znaSzFBJ-mn2lAAD<8+|l0IwnFGoz&UNI~iH04zAv2%2dcR^oDRr=IsyffShpO&9WI z7gOE%EzE0p)igXh>}q%3zHS%q+R^tiz2C9RX9UhdhM}7KNJ5)=asO&{?JRVJB?sq( zTVH?{;;{!;PoL-|5i_o?UGNkKzV!=hPji$+4Y(XB?0981bGMkb{?d^au&~#gH_9YW z@KwvYGcpmWeO%|>cLFKfHq8??K9GD`gV+LgR&Ts_%Z0aa(+@JZomtI zb1aCE@Qh4Iisd0J4k^C<#$Dmyu!w;+7-Do_(6lH}B+q&Rlnw%zy;Iy>2iCT7&W$Kq zc^F&-2#!?ZY=O`%`5)O5R=SG~NOd9i zVQh2POy{^L7G$Q{E^9~?&&_CGG!%9aWgf7sK}b$6>S8Jq-klQ&GtAO~t#djL@IC)R zp<{MgF%ENZwi1CjbQzm<&i()aOnsvP=#N*)E z*eCj|=@|K1r0!8N2{}afXtk@g)qmet?2NA zVW}P%I02nC=+`Z8_Wr6OHaJbq(kr{vlar0Vcsud-j~F;iO2)MNaf>I;vvA(8E}P~v zFVkb`ZoewvUvWz~$trBNLHdB+C9@cJP*YewiRnFSiWxVoOUmP~xPw+_(1~l;foWSi z>ZmH{l-*+KnH87Kx{Iwpx9I#|5;Z)6_%O*)Ln@YKz#+jGS97&4`RsDD5#=AsLB{Xb zq+UpV$@sXg#0%gRHWHDaD=U8$xhD;*kY!y7Sqw^bN!izG{0r}G8dfRfpjt@k`Op;y ziQWlq*9*CYc9jIB7O-Lfj2jdmgd_~i5xy9FB#(y}1iXOh0S`;F3~frfyei$mqLLj) z%;i5T))UcDmWc`DQ^Y2X%u?xHm9}xvHrA2hU^4^bH1`udzjZWFx#|Ti=rk9M7;yYt? z1fgs)ce+F|I+(8)t_LvwHB&&L{bYc=0bz?t*8caA zQA`!qL;mhO{n82W6xR&vOK$-GQTPs7ua^ui+G4SF)Y0q}kz^E%B~WWRqA1GdfS`RY z&`Hxvpr<)G+DGO*;;X=15u%h}roNj*^VERm<%4j%pv#1Ie4`QJXY#e?3^jxUU4Bb@EA0_v0|HQq^<>u?y@=L57t zEnsOGKskX7XCp1$RR($Uao$WdfT?gFyJEbaR;6WC(!_6$Gh80=8mF?J%78z53D!Ht zz9i7ZL{G3!Ox8-9)x}L@W-w6d64c|y_J7?W3f#!;tC4UBUO*{o77Q<@@|Qty-C zW5u-G$x$4rD{pu%xD5|p{|Eo}Et{_;`$Y8?x~nr(Jo1Fe{#UTnh38h<=K^b&meaif zVMdCyrM>TkI)JnTs#d~i;Sp;f7aINs(voZV)1UyDTrSi?WHWiYZ`6aA%>5{3r1CEB zl&s&IQPs#6fNBZ-#JICuajct3X6FTlfq?FJQwOxm9el%13 zS3)=d;T5>_m|XHC>*w^eq*5{kNiqG-H#FZwIdTy_=Eb)XsL#}D=Y0RJSsw8_0I2}Z zI3cXEg1(2dtC}oLLKzOHI~vRG^IAK2TeeDP;_n&>bSVJ*1pPD=k!W!yQu4fskITWb zbqtKtj7wZkr~8T~-=XP0QHCm#_$}eh6*k!G1&z(3M(VE7dMNF&luFO1t-{Hq4UEf+n!l~~elVO%skyaNeLnFd9ieOwO zzUR+v1YP-;)Ez@<0=D)l^TWxr9NLWkv{1Z95*d-y+lS`(MjW0fMz|BkO~mGVd1tX; zdoZfJlxfHJoZNY1$zSl?hJ3v3NkSK?7lp^c4HOXjK>$4wt;tM*=T!jr1mOKbmG-TL z7-Da4kEbWYVc_q9=mQuZPz|f}aw(Qf6%gNp#;0B{AGyoBZJiPq(;&OnywoC=s`15T z)9)69q1BA%3Qb7%Kv+MaDm;=3oQUdm){!UYoGL<05yqeS0+ffft|$SM8YLPiRf>o; zfxLaexFN~tA4GqSJ{Y?-JOQK}c6~zKwPh=#pnL@A2>*Zk4gQOh-_QFRe(k^PoU1a< zF`PVxlnZXM`MLe>-#vbiMg8JrK9%@%#WZeYj~SVUBW{P1CTQwxX<>vWvX8;wV+Ql` zygpm!=8ow~^U-1K#T}B$X82`t^y2j1yr2G(q9<`k#lvEpl3>TouFlb=Ws3!JaI9+z zqYG_}U_0Pc!_8PV62Hk-Vu`oRN5$pBV0JA7xRLA9IYF=Ba#X}bz;FvlZvl}pd~h^R z<((e?H4tTja$`7FE2#_lCkuU|dR7!O%F{y|sTnJ9rJ5lOFiOGcA^EjQYz^GPO7XDgT=U1GW)aaqOgNWh{* zuw!vlM^c|7^&LW)|X!WGVQ2 zl-C}Z1Q|hYCwGkZEa@SL&M7>8JqMhkxeoc1;mEJFcf?WmrD-$gF&z%nDRk`(Us;Kq z0RR9r=zt3YE+@bPFzz$KEA(67Lf}J>(fUE-z#>_R2LoYTw=-uoIO9EO)AEkgZDudy zP>GFSQiGSS_k13(P_45DhX9WMDM2~1#q7M>>uwC(7$x2vc9 z3x2hq@Q}0b=_CtrzCy8E`-Tspf%K)*t{Y-G~;9W{)Rtj|+Gv4^+uKAE!>*PFSdbMJeOt^6cu)Q^t+Qb&SS^XcEf_qB@A}We?(=%6pF!?W>XxCN#Cu?e7f;7qRrXvaRkO zedU}vj1a#w>obi!>O6dNgD&<}g`h>H=0JPJDSv38v{ozN3PdW6Y`=VZ8xPFbd4Nzi z#SQT=x#ym8n`5|fEyoNhyHg^ZcGet4z#!LrY+wGRvG$FZ?mz7<_U5C7F>K!a;SWdNf{UiZUtSuk1{ z0-7?&<;VKh^)i8NQE|U0nXz2$fROLub*R4@C7}C&A7mB*I3EC(ls;L_#k+tpMSOj@ zWk?nzmUYmfNx1|xKxMogrS7>eC6$rp(Kv&{MWR)hH3a*9OA9MAlw8JgU9%o?d$7gSslgcG&NDp zwH=aj!t;T@bEh?e?M=JVr#I#Ul9s%8XI5{B{+k8>w@xAu9#tO~?W?PfDnb~PzCk~5 z)>}vju}%B;xmTKM1?G*<$7Lz&T}BJD^k-h0w34VLPM~;C{8cCl{jHBIjo4`q(Wv1+ zt_g;jn|s|SvvGSq)%!8QX*oP85PM+C3aJOpuIo2f6T?rc!-4KF*EzCxQ)YnEeL=UQ z&ypb5I|)}m{^4{>f*YNcDk9M9>jwhQ5e$;YE=FhHxfFD>etkHIR9OTjZ9<3bG334iyKaW zF-6?w8?0jKECF7EAl<}qYk}GMM4k{x)B-?$Zt4*nzs!gj)zr(g`H8%uL=_IK%Yb=j zQYN5zHEQSbbk5G==eDm^8D0amkfeRX4*J(HoHm;{tH+s^{g+u#- zHs2yS(~@?yw=YpDiIEPvR=o5dx1({sH~Or0DG+Pe-@nG^8yzk1f<;rSVrb;*T${*3 zp?jVqR0df{hR9U@cY!GP+u3}{cW?``?mqvJ0g>0wns$*n&u*a2GmS3IpI$~OZNtRR zQq-mBGRnD!^RcTR=gl-_G2U(1SM{;le9O}hIj6KyJwsN zaRpXkfEPaMsn?h^{2feWHV!KO4W#$pR}O)ipS>7V!dKF;tK_)EilhgzG|zquC7?x0 zQqS<7eGT8X%*i%MW0Hx$rqP^#V>iI7EQx`>ZdPV-7u@b5DJ$@oUGvGfjf|xB>|ZkU zcD&_Lgclig1n_hMv_RqBu8Q{zQYGc% zO8?aC5ps-uD+A^$XxU{P{CB0__~zy&%rliUOx%~J=L(d7IFLY3Pj6>6H|kdh2^(C% zaQJR|EcnkX7#pQa(~Q^#2MFQgk!owrxvtc!$h_=gxHfM3$G!|@?5lTu?p3oXu2E_< zd~>sV%ESszvTp(BkJDN}w^6IXozBzVuD)ch{C{Qs#V;5!B=0%xNC$2Qef0KJ|CAaW zS5JHoO?i9j?&ap|&#FDVCGh7p;S9gk!z)kj=GMPdsepUA9QYhY@x1eXx`L zu>xx9HUW=?P|pLu0YpYnn26Jcvjo7D9{`Q_gDCgL{?lv+okOiBd@L1jOX&J{pI@&n z-%qS$ySDa%vDK6zQe`*{-rFx-%1`*!`@0?U&sy~nc9Vi>nc_)P^uc#_xdE4TqO+5h z68q)zotl`don;n<`pi{n zR{uUL1Em|@4VON&2l)ACL1w+~IP-&1Y`S!ZAVKgblk$TC9h|B-+A2Gd*B}Q3_b43>kjLgGiMO=%T5LcwU-uqx zcW1MK@OHyIJ4jzdJ>5&;|55cG;8gd2{J&M4%v3}&LiR|+v8A#{k&%7NitNp?qZG2q zPH4yo*}FPcW>QABW5ltK?e{wR{(jg0e_dVf>w91B`~Ld)ocH@Rp3lbtXgb$>SJF3c8o=B@lLxUXOjpVu2*A?B%gH@hq${&X|1*fcY0#yYuD9;Q zb3iN?jG*9YHo=6E*?WQz`~vXa!B?g`ytp7Lv#hzQAJMixa_dahLT{#jR95;#^-z9f`GlHF-3m66xq~R3rDpPFt{Cty zlk>)x0t+oVv_y@2>`hn{=_;Sx8UJOo|F>*?d?%D>wRW5mDkI{k)G-D{xV*qP=9YFe zha(p9L9e`Mb)U3V0-<&~?W>*4vUCqw)`VG#1k_$pB5Ki-W3{ilmLFZHM|UxI09c^F zB_##a@-aB(ime8HKC`j-*41f++*;_EMbWNb`(fH*{yQ_BxTPCNtD|q~yoeg0Nt7Qp z7j}NBOJtA8UJ$iXmJ9N*m}+=!>MQ7PF*U649xG)3-5>jSknLS?wZl+lz$Lrk`Zn1u z`@>&vsk`%fg8%N{WnIerEP^??VvIVXf}XPwWp1iW?A)E0VVhWGZ<;)})MJuL%3Sv_ zUD3gYl(3MW;JYN;S4~`5qRazR{oj%W%^9@56u6vu?oE*VK=6}H!P)33392a$s@Af1 z_^YeDSgeB(%E-0no-PzV=DP&FMMRZm)W)82&h4Q_ZZOL->WjvRp1P{ojM9F}sx`+l z#@`!%)0% zxLKLfp!1V#ZbA8Wi{I|x%z?4v*bDYf-rt?V{=dbGfu9F0r=#O9+2;z-QN!Cq8um{F z0{TYdA|1+U*kGWjPZI+dn?nUkZ`cw6c(1giL^#$gX+L;EuK}8!TBX#O4fP2NI{6=R zWDf~F#;oZQ5-hXk=mw*8ekVKhBtIYW$`ZLxME)|*ZgEb11-TG1_>TEuk;U(b(GRZ1 zCr{cBp0xfUAzp%ZupSdNmT88gZ=ycCGJZ$O|5N};V0v8iJ1=ZVqngE@qnAYXcD{k* z;eSW>^y+MsZv?-^Hso2xKYm2YjaJ5RP10NF)4VuN)DcYP`lh(M{`34j(z!*8g~Mgq&7W?d`mg(fHmD!RwyyA9~_9c*Pz&Eqcy+`(qZa z?F1F-B|Y~Y4oG;cmYtTk}u#mJ7U!}k-)3KJZnz|;v&+P$6cXd0r=yY*#zPp#IGvDOrQ8QmNw{eHhk#*F6I!gCg zMa();d_B`1jL{uLRZ%9<4@(jDx{ABItO2qL?oVWDn1lmjTRcO zC(<@tO#D`@F~06PAy#~&Ut6tE=tLNgm%TFBxT!io8x;2 z-#2rM69ethAHsC@{LL;6MDOnPNM6O7gewy}Pu#sJvoN)JVa38*teL*~!ejvxc@~3p z78n*zG{=0K3A2w9H|9gTXuC?O>4INRgXXSwf95)x8Z4-fZlu8=^1{owrhd||h&@qt zT(ex(z_rfb@5H_fydTo*HqooSR4rIw!j)B#kCa5=B){7&?iaSPT&c3zlt4w>xZ#-} z14r6aO*!$?N=eq2rb)L}Z(AxYwuermHIbT1Nb>~(=fAGz0al-S`0w|9o2{Y-@S_To zXha)xuSI&(R+VLC1ipC7FMDHZXWZrD=yC9?aQObjk1IbT%Ks*~HnA(A$2D#&g=E|& zF0-A`G=9$K+|{7K98y!<5Ju;~Z=V)ry{z-~~q|Ia{>7&E-> zu`&}0e57a8&%>4RI?Qw3e_1r~@%;XD=;SU?tKhA}>k$IqhJE}5frrAAvYcTM60npW z@i&=Dm+mp>1MsA%!AJP7LrXxk5FE0L{ zHulgG(4!?h7SBh1y&}6^8Z-I&xgfruhrtKz2?$uDEyb_4=vC8^y!BU};GG2xzeJnZ zz!0s&5-JaqGBjYqf4Qrn{wlUroEZtA#fGh;{`=Un32BTF8PSYu0gU5V_+~tOyF>&? zoNKsK_;1}<-mt+p2J|c2p-e@?Rubdh!eG{R@}<`)#k$6 zGXSoEOn%bB1HXcxT+b9&0o1-~^te8O>RkU|*2eYJz>~vI>$_<1B{}lK@6jKA=#5NI z*Y``He^014-kl4I5M+=tWRWSaR+}pcNBT3yOppnFQv|YeQmHxBNvy@>6@mzYzY2FM zof26HlgH%(9PWFW5E~!#E-)>)h<4k^4o@Ci#kfvmxv5!BSu@IitX~s5kaeNZXN{Ts zMxW9h>3VVUo^(*!>bo)KNPSq)x|>^Hpk7xP{Md$J-6Rx41aO>>E0WG|yGCAT2LwqB zN#gxst8Un)a*EDgT-c1Cc!}x2As9kgowXBu)O?)!#|qG_Ca;GDRI5_+d0>_fy$OVb z0Klb4ThD;Y7?uXG(S}z34K-f*0uDdA=Wyb}>u>i8+zO{)a69bZHS3JldZ~+0S*!D7IwPwS4s=Yrww+4)he3=Y~+NOQGd>w{4 z7ngc40b59=**^nrY&pe8YYJGQ>g|DVg2i~b2Y?7tude#A$Q{=FB#LI1TV`dLLuJf2ElvqU-|%$0v?k@^koN*bpAxuZcc8(l<=m%a*@LY;EK9BzPt%-BVEh0;{W zZKtE>dDqes@%E@a$pY+B@y$}-ERL{oe{9-WiU43ctMQFwqi$P2hZ$yr4-52H+Y z?|{ZMMyRE6;=yS3NNf9#=r8?`2+Cte9Ik77yz;wW`FD&CwK;UuYH@4lU|HQmYO)vQrH~@I}&0VyhNM0^|}fA9RsUF0ZeP0Cw-^&!2ei zubdn<=yli+-(^&jwiM^q4k}s`^gWt;ObPx;nE4h}U-cR-1g2n%t!Lv&=l;rAGGoww zIix+P&?Y|$-hWo2bJMEk{ca`p&x~~Enr3Gip4gwip;d8XwTn6<05xu9iCK7uX3A}q z?tSOb?X$OfyQx3;T9C$-i8-ThMT5eGuO&uY9^7KNZp(T*h>CZP2LB4b5CmL*?B9P& zymD%Ha|ZA3eXYi#&%s}Hn&goh5xXuV9r>5v=B{}?;bsnW`V~o68itudUCa(T#c%nv z4wWTA+F|+hlJlho0xa|w>VwhpItW%PL6v3c!EPB|at9RxE)%~nsj$e_$zGXr>$Xbo z1PM+R3Y{iNFQVzj0Skwgh&F)MSCvMsatUNIkf-M?;a>6{hJvKPI#Yt1?_@jM9jj6R z2cw&&+Co6$s%j0Zp$PyykOhwb!~;2f(B}rFSV}@^vA$d9H|I-pbHh|Z4vup81Iacp zWjx`^6syTV^~a3bybDbny#Fv&030|RSrf5J%nFU;Xo1Sn5Fpq77ZC90LTtyZ>(goP z|1xHndkOJ@6@Dv8Xt#G8yvsSbXN6X3Tp&?SRwk+3*`_+{tL zc;~q_yE=yACN7tA0fcf-?ss8FDN{x6HxZ0K6Q8>6%~gb62Gr`wEw5ScKSH;6&fkvRH>z1SU{#}w>)%ymaD{?<)CWX^ z8UxSD3F^d`?%xP%N0#yG>+YZ?JtAa%568ruMA^;pE#^*NGi`5!*7SzKtWZZg;g{u&Z?R3&~ResVdI|U zviwPd`Q)Q3h4j9hW~1o?f}?pO^r_tPeu8J@>Hx-CM;ZD{e`*05BwG zzjKJOd@+3yG>)+AZdPg0U7%HuBLUMJ{Ld%aor`l!m0gu^hFx{l>NuJ`=;w zo|2$U^-v`$vZoBZ)6mO~7gc1Azif)fMf^KfZjL=@P*peGMh0o>I~B zrR7bGw2#)9ccHF5(G6KX!AS8(YHI>w!U9;lO541I8j57H!(2{9@n z&fyPE3wy*L_I3B_jto48e$lTe+*kyMit}uuK5#^{jRlLzRfhaDR>YBl)jgXYk|d_b z0>uLsyS{R}d%czuWkQre4MMxG>D@1W>`)YA~FDc!BF z_jmttfmwLqm%B{pORJAWg+rND=Oo71F7%+i%>n%Y9^=o7%T8;l+yo9ke=9+v?!C9wm{^Pn@4l4u*x3@QVB}k`oQvKoW6! zcbsY5j=JBWU-+yc7f|zj>}m z`=*WQ_|jH-ZiOyy4%|a;M;$9&It42K7Y2!^#-GbvC4t$p_z>gOC9%XJqv!!rnOWJy z1(r8&bo9G(!#n+cR% zr?G+Cze@K2R_Kq$MgpmTO=KkCM{Rk=~gI1^G|a@zFla zwp_l84S{i1y}Y&8Ijc4vqS7Lab?Tk`?FGgM_M_|t2QIaV#jaPI=gr9e7wDU{|83FD zmU#Mb;8BJ1`iu%(xszX>ox`vHD;@yvaEU2@9ZiO~HA_uDn&um`>q^-9S=1lTr-^Sb zXrb}`Ns6X^clMk7AVyNg^OQ3-v5A|sZe4>wBzu8KZ#8SJvWjwOntGLYU#a`E*iAy> z^L?yQkOGkPb#a2fTCB+7#Q>Rbrk)?*v`#5n@ZAhPH>&6dcV$aC2@2Y z=#WkcvzL5h(#lRr(Q~V7_ATF7r+*?z=I}?J){#_ntZ?+SwL)H@E)nCe_VXnD&-gG3 z@NS1I6K4|o2?_|ndcT~vF~2rf17)wN|m5{2~Hq4VZ9Ic>1%p!Ain1LrDzLM zD8ixygmU;HxCE1A8}6BwKM^|mG9VuDaOk4??FX0I}0y$ZSv+kD86 z=F!oc?~y5ybr{FLr}@_h)&5XH=f5|N4ZN|Ml$^D{W<3A?brkl?rL|lBjIa=Z_YL2z zg2ge`y0^&-80KqL7ltOI$C$g5Dsqt;2o18phhpA0b>_AbdcV9lJn2FR?|)Oo=S{d%K!DZ5Cl7H4tFJY!+ssDtJOZ8xZVl z&~msvjir8}`7Y-rypB={&X~_u)iUPW{K3RCgIXi^#badL4=Q85ps|_Of0)$J3ygu(tgQ*@#`Ayq{S3Z2F%nf->HeY+jCziTAhh#i;Ie`L|c*?SL^+A zH&u?hlCLx#2f&lXPyAXg=o>?|Fqb_BbtF#RfET0Eqn0F-{* z!)x{NiTef}?8!@=kFQbQWJ1GfE#dk1A~aO1zk34cphl>|0^bW(F$?bL><^;F$wEA` zlh}5c8jslI|HO}a(e|s&^D9&%Pk5s4H#Rq^iI1lni6EFbLFDE}9@R97Y3R@t1QCc& zCVF3_&pK4dRC=HLOn*wFin(%{akOHj^~6nLr~eQX;`xf+=RpbSOcFytz&k&2hG}F> z;jyCB8I9Cdop9IAx;$BWj#;;Y$1`;UabI6Sss`VUFRHjt^Y%O)?q&2u2Whm&e3_?kN9pcFc4nC!jao!_r(aUFI3hPsEote` z(iW4pbt69ffHZD3ruz@}k%L>ISG%!#RNMw5rnRvlYqk^K*k&{pEayfJ0$WE!DfcYsQw2_MtbHwrU z;};Pwv68LnSK?nC9D7}O>`!_0Xk1e9WQsbBunNp7!JdtW12P4D#x%Tg>hx$s=k#v| zXfi|+(q1MYW%BH`6t6TAL$;9aGw9kRjrcz5Zh@4=qcNe0bV15nF z$j@N6Z-=ZV*&+qJIhE;ZsY(fUOfxAk57=8Z>@JWN>?x=<2z6`F@@}_5>ZhYY=Kv~5 z{}s2aR^S&n)-K(le^ran6)M&er-UOQ1?*77?cVt(m;(Ky1#HcWz!ABk~XWMD8 zk18bZme@gDD12I@?zBD`Tw;ppSKw+rM5rU;Q*y`_C1$_+!AoyE;)OYD4o)R(UHNI@z@0w9fN1Lf?AcV_eY7}(* zDqXTyHnGpYg!*?>nhr4iTs?D;Hc>r-bzF4 zA1XSD6i77dG6DLi0m{t9Gc;#EEf6WJ8;0i%WGJ_x{ogWD+1v7FaTdl+Zhg{1Mlgo& zv0lLHbQgCm^Ngf!KPU?A7E`NI-}x5u;9m}09uf%HJT5C7{2b*E^E~p!C&Zxrf<$0_ zK9esbpS=F~aOvsmgN569bwYvur`G&MbZKp-d0e2{5ND1MVUfGFtJ7*lQaTqZ+L#Zq zZq@jyi57Pr4Le#B7WjR`ZwOD*U#=XFhCSkF;PD}pz$*vbkynQW&YxKU!_?^-+R?rA z4qvkllmJ^DQ)9Y*XaW8J818(Z9qQD~G7a9Eqtj*(@4n?oZKv-+#ZTl!Sz ze-nq)?eaz2sSDoMGoRz8idV&|Sdy{ZFFkK3PhV^}9r#4#+X653G|61)r_S7AA2oV~MAEtsbm>!=k{^DnyvzPeUR6CRR1CR6&C;RcUc@-BmExZ3_Vg_2wI zcgQ+l-xXo{O?m?*cpIc^D91a#vK5_oyXl1)WQzvacjnB-i4*e|NOoW(3cC~#4beCn z2Aj~a5D61zf(G0kjXHdF3d0- zFXJfOrY$^plEzSY%si>lYam4bLX8%DXVI>-3Mwd@(4x*KVlg4+(^~b+PL251kvVhfHoV= z`>5AB`@kx2JvC6Rr0rUJ%bhUCVS)EpBgu8qrZ?sBT9wxX+|3${jGv?)3V6mvxf377#A;XIWK*zoa$3z zxeYUE$TS2gx;Ajf1d~B7O&l*dUN{<2GapM5?bOVQ;-Ch!a{QUih#vI=b4LCkM zPCgSm@nLNUf6GIl=I9f9FArmkYVri3Kj+a;q#|fk=1P2noKBPX zV`&6Ttnn9qGem3kUftiiFw=+a98C}VZ!dQCWn!-`5wam`u=v0)x5SrufNf3E|AC_1 zSh52j-`61b=SiJbP^!Z#7G^QelmRL?d<_uvnmDdo!w_{jg=8jC)#{4)BY1qE3@Yja zw-QXR@i{o~2PR~ZSKz@IyZ7Dp?vKw5gPU{|4Zo5+tL#fjeriR}>bw?of38^WHl)-0 zM30`M{dUh)i{@3wnQb^@)YR0xH~W-apscX4vqM0;8q=B4>0i&Z4`rLCQ%1aQK69I^ zE^Ob!-@8&j%!_*I__L6O?BAvIA(CbqKJdeDrvi*Uo8<>UWD#&$&L(H)q;`0$c)xrt z!<+r5@N+4bhP1%Do-=pEp~d= zUs(b&OaF)z^J8jGWR^7^7WciPpIn&aw4HwSsfr%M9eIWR5erE$@fUXk{4E6^{EHN) zz2|cx@TV$14g+vvZ{tR#n9`^j_srkA$1RE_!m@F;zJ2!}ROrOOPY%Q8e`bCt{9&>6 zwUt`#1;B}doX+1S(8RnL?6zAtowW1~*=zY@LMP_#$|+`yfw!#5FUD@0L**0u)qv@_ zMz+M>RZV!{i<)yIAs#PzlwKuHrWV~**wL!PwF;0BCfNX-cm(h z>Ion!(wjOnM#^Puh0>AKLtv$ee#$Hsy)(WC|HRoV)#eRKe=mw=(47`^Q(pIgVfy`r z1p^N5#OhlJ8_@%{o&PxZVL|~#4}4Ab(ybvz(k*XpA~6pQuJ^RNVyqPIEgV@I`D;9V zoAKUIP?v{Di&7jMlaCi$G<^@fGnvi}#jNy#6&`r@g2`jPumc1c3Mn^2%jjd05xJh1 zO;N9Dv3TjxC_QuxNS@$Tv+vdcjjykzpETLEf%O^6YWIF5WNoM+=e4H#j{qbLY zOMgmvO|=e@i*7i=-Ti`_s_c=n-SZxeG;5CekIsIDMfT*|Qa=}vU27me9zew?(@fpp z3EepTO7;TF*QGT@vTK@UDXnBkV~M^z$mHTI8F1FsyPM2bPvZFLN-Y)FRi*@OYtX3G zCA%kl2DKUHQzUNw+7gaaV%DC)^P}Q=LA74qMhuSaa&*ILKo+}R<-3f}4JEz^8AL5X zAS5`ehdRlsy-dpIA*kYA{nSf?t=8p5_DV2OnJCxwn5bdikaWTB1I`RQvS`3x7W>n< z#)MG9%SAQ|-5$@i)~iSjYeOoShXImJ0dyE2_1sQ<<=Bb07Z^%dV$U&8nyDBKB}ot4 zgV!611vn94eCP?p^rbTw>Q>V9#=H zu7aqa=*91LvTD>CYU=7}2-ozvCBVqA$OmnP93GXh_v*G@K-`{n12mx`M1>-rI*VjL}-3Q|_X#h%7rzoaaIpq)9y{`k6k89}po_eiDV!A`hlS);$<9$Z?Lfu# zVrF}g6z{^RJoOSp#DPv3K0oE8CT%5#zyJ9+oU7~}(=Fdm-(>({Z(K+X&We>^Ac;88P ztTaFfq0xe?5uep$+hIc#K-o2W9Y-`Ex2m9AUsv}6KK?Mm0hU#D%Y8VPGc;{pd+Xpg z8PQpnQhx@a7JCC_G>@8CaeR~9a%TOL{8`o1$QvzQ3!i>23E;AN#{Ri>0(7b5&l1mE z`+}LY+>tzR!u|Q^Esalzzw~fjGGw|t)um|DXXhf(8+!HVYyS$g*E=#qF~Q&1T$dWO zwDEQ`BCT(C#`!!Q9TcT6uz2k1=fTc_JI7|6J>m1R=$4Fo(Jh8WLBbalJjt3`mpgh? z|DNCyt8Pk)i05@rr<`*7)bw6xGsAL@{ez5nYD~2)*k8ZKKTMHUU@;?3Ng+2&lU9=4 zA;WFT2p^=obuqmbDd1!o?(4Ln)bKH>9W%w0B+`6@2r|77)y{hyD(QZ@k~&C1hSS{@ z)+_fUje*oUDi#*#ZVbjrm}`T~0E{B=WJyOaMTHY50T<&baSed8fXoV_qbEn#^_Kwc z2dX20qx~dwx_K`;gCH4q<01v>i>B5wS9)sElcUHC}C2yr?ij??ahW-s9enW=Up{xHY*7>@wue#9TDiT4CQ+jL>v?S>bh3K}fPBw33Yn$+Zqm3XPV+ znJWvahD(SY{s8*%D4)Xg?`)d$H$8(-s@-z^*?n1sL&1hil@r#<)LRZ8f(RQf1co_% zW$_um{t@4;IWyi=HNP_E&~Qba)_JklTNUU;CnL=Z^l`Tzx$hfxoIwrYUT29DDM*S1 z*O?xD#AdDXb}lTE7bIg;Bm`PFIMq3wtqk`GuT*c)T_3rndj9oVrkOZ8YcUu;)n&4^lKXv5TYM=E&D?9q?Yjos^cMbAR zh4IhIS3u8_a*At zlz}%j(}z)VUxAD3f{OFV({v?qeu_Po@GrDOv=^_1PFwW1WSN zS^qVr{HT|#`g6Y$vvg|mTZPk=-^Ff)hERVwDgE6W7J#0zbMIg}9CM*hDQt)7MH~KE zUmXY-e7>qF&4T^CT1P!$xO3-#M{{!G%Nn~kN#hHaR?4c!1E^tK{6_%9{=mE?`9w}> z$NILJTp@$P#)erfgw>2}_s%edbmH_NE>Cg0pkkIhH7Q&DrXZ4Z_~R0B9_{C?{X@i1 zPL~i*v%x#v7AU!QuP<~Y1R2$upv=|(B&V~t+}%c~7qKh6u0xAzTsBT1@ET5EI{4U7 zogCd3&?tB9s!wq`ygq|aeOcWjVt%(HGjv0Dn* zJY3NB$mfL-g(EY=BSFP}hIK(5rd20`b46z3sNL-M{u<)e5GL}PEVobMn5PH79sH5e z-3{em%NkOTt^^bvj?}#>yl&2mH~$j}%f#JL`sjXR0NGxb-PMjTzoNxEl7BtX z>DGnkUtf3T@s5?cc5hOX{Y?XrgH38r#W%@hnj>(l>7oCs_p!WV25hUJ7lwvfpeD>tJg&0@Wn-fC;7rpn@ zy6d8f_byF%HD2O=D;Wo$-2+0?3c(k0F>H@ctM|O`mV|!juDe00zkr*;BXMK8@=@-> zfDh3+<2$HoRurmp>h8MiJV%%7npL&e7INMArViqf6{n{;ldonFkKzalmm(I}aLtZp z#qEVE{ngev$aQGq*|1i9%boF_!YG*y>-!=M)nwPpn^A0heSzt6)SYuQ+C9(J8Jg^U zqDcO_%C#j>GFC0^#`-E7FC=aLK=DbL0u=5^H@`r>s{|)FwOk zk>+rCznT*q<7Z8rPDDy?8T`6KmonIW&j;K8Wd2fMl3I^=#JX=PbyAN?TosXe-o5tO z<`=Kqs*wxt-|*=W$xyEQ=j_XtbXMoY$8Fq+5Fo&8gC83fUa)N-2m-$n)OHZ@MJj|y z=4^YI#@}!&TPfllwXqsT1bvYtI4#Dtx~_<~j-JuwHnwwA<7pblyjAvi3g|#N^$5Gvvjj)g?4Mg~sO+XHXqb6()jL-nC z{i#XxxLR(;G|qhJ0c*Woo*z7#O8Rk5;FT*S^ej69Mi<{{&+#7oGq;3-HI=F+AT_bX7Il0 ztw@$@!NVDR)vObDgPrBg544B!k!XZH9d}Z-daw$2U2MF2?)Fw0NsViI*i(w-{MxvQ zgkr>nf;=Acw1#VoOeqgU4vg~8zSPtYQ6Q4|-B_n&SZXSF9V?)?h|oh#q@fXBR%@lK zWLJ&fdRvs81m`0$Y4^2@Z)E-ZW_%RR7<*7_ zFFQ1z*odJ`)&i;V_$;6R{&wM>c%W{9CVvz6Oqj5!;S#seV%E?t=eWD3z|OMWb-5!%$=wgANlY(6 zlZ_-E5d8}Ce&9Jn2nxxMM8_|7Q#;_Wz6O=*zX*(?4{hCU3`gH>7N%fecy4lzLa4wp z9w|L7k?E}N+7BySmGma|JX_N&-Zmp#4CU20a9bsp?YY(Q7SQI zB|(+yDy=Ck(Hw;JHYtY)f4=^>!N0^%KWAuT`U3~nt&f)I9*JvMpnsBf^6LHYrKM|& z0sew|A*L<&LX3zsWF-P?XlR2A`13i2!r2Z*(C?V3O`4fv97vl;-XyQ+kJoF4F4Z_0 zo>z@F{M>5E_^LyfumNTJZ!E||g|7a(QvK-f8K3#Mu}f+~1kA{qBkx9u@ajBf=ii5O zczinaRK+TRS*wS~2gdN%Hfl6vZXhSt_q$wtZB2n}9JX8ik?bhnF#+D6VPIuH z8nzol4OYb+nhX(eQ4!l!t%+eCJdt&ti7lPp3=E)O{SgC}$n9+SPLb5lSHKqIY2dfJ zf2$P#e(a)}E}2qFuU)T|c`Z{o=KQLNC6s0E?92{p4z=W>n@9KEF|#ChDZ`bYc0--^ zWi2b>jPckb52J<~`QKBuASI;n;Uq`5*TryvbqFRHg@}aPc3Rd@o6IQF+X7q3>;cJV zHcWU=mlk9^1Gfr(hEuAn{J~NR1(`Z@5>wT#f@F?XnwmZ_B-QPQZ!0>*GMk2udASTVP zh={q$p;9T~qXIB#qHmGNcGvxMq`GW<0%rO@l3oxSdt^rp_CC+;z;vPvLKBt7&!v0@$-^K8vE4AV2{VGUk z(j0C;?gBGF{XvZc2mte|3QpjLynuzKGFm-VDUsmiN-robU3cBLNNc1JREC_HIH8TF zpPaUv>pOis=l4_9xzVVIO4~fpY^k!4`k}3>0g$6FI{@Fh~ z`ZBy2V(6>2%UXh!$kP#khHc=ENWnY10{4-vCfq@{MA%BO8ZL>QLk-@V1!Az2HZ28` z?Ho}5h1cfg|L3()-e36NYqO@<`gk+M4DGrI?+1e?fBV>0wToF{n>Q3S{$Z~1)=9-`j3v$0~py^ZO*rej+#gt0^ z!HZVW1IzYG*$a0Fv?EgOBX}lhXG4(#dz;OdC>gBw*HMU%{;c|n-QVSn$5!r0>W~3$ zdzere{f4UEx|xgabR3nc?1m&_p4+fQIXoSBxY<`tlK&RK^w6L~8^@ti0>cw1d?Hu^ zKruR=5eSfT5DSrBuf74-+?Eda`JYcRHjG353(>AI^?2foKrKk;btb+el&Ew^_2>O| zto)an{d0N2*wNVexm)vovfo{ZiORHExr@+DeH1jb)I-MR1EdVdP!;?Sp;ET3_H(Jw z@^5m_X>I%%uzaNE(08KohK(_>Wt71NM{Cw- z?q&)aaA1N6;=1(+meO;zV50f47xSMjs-};+)MAQ`1MC zL0U2h2_M@^rE-rgwI-9HXbY#ZhLK#PTseEMds%N-NqEz9Y6Qw%f%% zh6LdNa7Cwo_**-&j89&GVI+ua;8d0HUd{fXu7&nDj!rt4VbhTP zLr^eT()HxM4rv>WS2rOWXj(jq?pI$0+r;^RIJ+~VT{g!eXr7@0NWPyk5#c1-DDGg& zH@?11m6Ywxj&c9l5FfYdAtm?dpV98*eQz&M+xrn8lyz`>BIh}J^~XaZPl8vP#BXFL zxY=l$lihFMGYXdU0lPI^2(>RFRMrph%lY zTP+8qx7chot^5GqDt97#z5Oa*P|5E6ZJ5!5iH_s`MYQIhb(EqY0DSB3)*Zck^0xWxX@PHX+5U&a7H+J>cP8KC}CNW;qp6qK~z#GMxT> zSp675?AVq>7vy`6%=eO+<-fnX{~+xY^nvD97L`h$P*8Sf3_wC#j|xxT-2kRfW`ElAxTW;}R`G5#&V=>!ly+Du z6FW9*<*uQ88mq?Ze&dgsyEwM$pDoGW@N6poB7vX$`S00)*G%^HwXn6XvPb} zt+DLMHT?Qb?k|1+N5g-%my^Fg$`wYPyu<27I<;qjZh%i#YtpKt^4<=Fqxt{7%>Vm& z7p&Qyd8Vko&Al8n5VRnw|Djlpvdh0o_hzA;b319R``ZQ~cR9YtLDcsilT>cjTU{O? z&Hr{Y!b~nt6aRQWT7!mMLLx%bV174U5>++Jd_FjnY_Y3k1&rUAh zN}2h!DZSnR89ulNlp0oKbq+9p%N@sRRhi5(D(`03mX+M&#%t;yfhQRC#;^!7l$MY-aUWXq4m&L_BRXsXt-QNflfc zAmMCH$a7y&$z;ErFPr?1dfnCzm-$z%X8y(_9mQ<^Djvl*6(gccj50!un^w&?5K^-; zb_>R-jK(4u?$&w4<=N02tgk8J+Lla*ae+uO*p%_yDk#eE);O@kz&Zf>NPG&#?X!@B zQZ6V%K#<(3)8htbCygiU=|hz4UirGEy2iNpi-_|z3+yMKiucYOO{T4bz3J}5=BweW z_Cp1KSX_H{YhzFQW zW*1J~TQ~MG4!MWGiS8se-8U`XpJAfyZMSS#bB+S<6fjRf%ja2J4Xx3+w8= zPsVYOGo4jemFMC6VNY7hWG|a#R*4b)MIwBSg>iA;+>=fjSFMfmlRsK^%U(wn<*Exz z5Dy!o7T4O`3YPDVW4eZ7s{a=qe)6M~v$#(QuXfWD3VgWXv~G*ewxe_3B;;YibAq}A@&-anKD4OuZl40vvxT(IcB%pV0K1>*%GtNDO9juqJ%Z&(<)RY5wDNfP6x zYBmxege;)%z)v4cww`?3koA@w;rfwSWS6N}(*F7LdT0V>)4eG#pEs!7ryQ4Ow%H&jZ=-GdOOva|)cpnxOxvo?b= zSVE2LOjGb6?1LbW690WX`!+7``G+h^4bt0&R9QQavGx#YH)=rsq~%L}`wirsYU{AV zzgordPC{1INFUh&9(?_y4X=Z3y;3T4z)d~L^BbmrX@_1RfARr3Xy%?cT-vJcb~mn;E;xC_v`Q0 zO;rs#bU4Lqy?pnx5#*HcCK_LC5Zoa#|Brd*6;0h<(A&{KL+Y#>dy_5Z|4{Q%9|92G zJ@iB@-gK*+#}AL&{?%sX9&pMpFBQt`94!;8^nc~zOLZasc*_~rMDc*pA& zgS06kU($!{E~al)h7~q2#maKcT4NPp_N!rNlG)vV5=8>A6}W>y0>s6X+&`w$yGWkL zRcBeGBdN9^ZRL&3NZ9pfhF$cSqn8Pb^i?)Hx*zdHrU+HQ9NUE_1aEx*VO;LuKzm~mq|gImWg0pt5)2_={3KjGR(~XST*S%-Cua)VUfym z-J9$2lLHjjhnAHm5`d-5sw=lI&)3Yaz-)18(hi_{y)UVhss+JYLDunE6tcO+OS!c((VTDXg_`mFiy z){_mpNX9d;f21xHUI-yNVB0Xn>==KLb$&N8rmox&Uep<}V zfXb#aaOpkx2rfOG@rOaEEz-*pR-?^td}xXzsZ6IX`g*eW?!Mc3?VRnv{Ywy+;PM{k zRde#6`C4}izC*;w{$xttC0*vU&qu~As;!y`Z!k1*kz2U%E6}LFxyhQKHSnWC!Opyx zu)h1lVraetx@GI1h=5`1IX<}!=AKPM2N%E~`~R>^%i{2&ULP_H&1d|%I}sDE;@-8} zP5hI7EtWciQ9ctB8oQ3gSI_eF&w0+i>Yr>|by)tqS$(U_RppT|C$<@*x%uR1$&EXM zR=!26hJ3cdpQhpLm$f7A@M&loT;qtG{|{Af9u0N>{*PO7t90kil9Hvxz7-*4X_M?R z#=aCuV~rs@sZ`b}`!Z&-%-CWgV(bZ%b;_Duw#hme3eU%!DwqWXq%W}P6>RByEAchS%U!b?OL?gGLy}0$ z5Z0tMr4qBHvKe-KVe`mSwN$L{n~e#u%U*!c1C_o#yE_J4F4(Cx8ruQjU}68A zUja&Ssh5*U+#g+=Bq*;t4!%=FPt1{YZ$oxbN9tcSD>yTOaiwDv{I;#}7jY^#K@wiW zfBr8(_cwzB*6-Wk3i?d{_$qMbJ_<%> z#OU^gmCY`nx{ix?Uj>4ZTIK=}BHfkiwO=cm4N_B-?g}=nWZsVNX1}u~uoHjk0Z`fo z14KZP0GY!icK*YW_dpPN_3sKS?oVm=-y4mAFbdAgvr4c|q+k|kBaS9gWCZI#iJN77 zN{;KK&quBiz8LLPf6y&+0!kWyf&|J*xzHP6`6C*QmN3`8A}NUVK^?n|fkSWzuaZ#O zO%~%}-0R=`-+jV$pMMmr8q04W#`u;k9*|h;e3mnJv%mgryZ$c;!qykKt+Is8T0~qg zWu4eIJul}K5(o4JfEpdGnUs(3$?NpZotC#+aaUHi1Z!7S&x+m|xG-D?MuTp=&jtg> zqjRlYi`U!?_R@M{BuQ=TW|&-yj%)dvsh7W%fbR3&fo6_GGf?LP5|*}%0TlHTKyG1b zZv^Qc2QC$^V<8a%107`mU;zB>=V%aAmYV^d2dTxGO%M&t=&@l=Rx^6^7r_)nit9 zJoZ~Zd+lrpQy2-oY;#*qD1XLm{>x@b>d6J{sM+f!_zB;a3TPO}-+@Z`hdw|s3+zReO zwxx`bijmUye)uK9?2+^Z4j8q>W6`+>++=%H<(H5r)DmLl5(i;uP1-F?_3`jY!F+&^sp>0PCWoF9%7>}_R!_dL!8MBk z-+c#qa-hZmJ`VWQzp#DvkKp+@+0!wM{ihzvnTB9Q5g@m<>tF`Wlxc0EVl?5Y(oq&5 zO6+n%}`&49l|?K`yxksn-b!)Sml1!2xK}Onky> z1223zJ43&LeOu38|0U@wtccoqpV&!9vudtCnwo5!+JA`+->qz72p=tJJ^8=v4PdcA zrhTaH*$FNkQefaoke&OjSOzqtyh`N~(XGmPrBxmf&)K`sn6Ek-GDJHr?Ywm4XD-4fu=W{@vRZ6wnPiEOVGKZzqd+3ekk*yI9HL%Kzmx^=Y}U`DTE)+WkV7KW(p>=p2B5rDF5%%+Szc z0~Ws>LVT`eTyVrC^DHOsef*8>3mm)O*B|2{fwtzBL)2`F>ErRMUoU1`fOZ5PG>|)m zrD!4{kBm&vSD%5{w@V+TQLYSssVw3adVi|STrnMQ9PY`^SM6(YLyeiE_?4+vux1(S z7Hcb3=DN%QkDhG56vq9A{;B12_sf_Ucz7{P%p9=1Mq4rl9~#`FK||JGy;{R-cW}z3 zOJIH8_Wk>_c>mS0;C+-h`g^Qp*`O`FL|uIQGJ)39E)r!J$&yhHS4e+=x5bKF#?1fz zeF5wgLxpY+n^`-gICCYEgC}WEeSKen2(TVdC*~3X$tJ8Tv|IDA1=ZUx=Bs6P1E}Z< znz+7CAp#i`ESyZG6^2GkoCBXX_%c>szr*z{DIa-z`*qxk&|<0EDyoosKKjsp-9Jil zT5Z!`Zpc9eOz+{O$WmwlrF|jn;{s#PCxAbZK+?nJaB)oMPo&tdxzo^Bwj? zQ?Qx8bTd$?A$jk9+9Tvmg6v_Ts{weYAyK7Vk-2IgTA}n3PXBPO#WkzHyPYWU0xsDn z5q>GNH+S@&i`_$eHo3@oUp2PpA_lqrJzMzxiVF_;)qTqUj5L}he#Fz9l`|hI@;}7e zZfQAZBrWKQ=}I1hYp6m0a}8#;dsHY9?OWIW=tXYsB~aUnut^@B*?O=WY?YE`ln+?t zx>LVgBS<`n_`UDs+@>+#tS!yC&{9&}f+c>Yg{{q3DY;TZ=Dh@c&ddTrLUD)Xq3-P_0lCGcRYO62|XQ*Xk*?zu$iyuTJAu!alc zUfa9IEKF(Z-|nyL>Z!VGl;nz6YURe9u8L}hOjRUhl4A%_v!?l(Tz-3Jv;`Zh-~AAS z1)e&F`BN6v(T1!px$dut(`~jK$vVeLLg{uttF2e|=LtIq(>iwVxYqWOxr_QxXx4&D z5#>XS_PQk)+8Ot}rVB~VUZxdt+)&EwPP*qzv?vWA@`#JdM1I`%b`Cyj*A=A!QB`Jw z{S==_b+&TUL_2{yqMZ3VlFuGU_}sKg0WMrJoga4{QV#xFoC)8nX_Wv0!*owQo28{P z0S5;JZs6ekc`E9j`-KnFna3bKtT;g;5nOEi(EcxR7CL28!)_B+#%|EDB$&wf%sv0n z+JO}lPrcN<&pV`%u{5)!#SVtKIQOF(D-y7ev$8O-BtNO)O&7zF_qI5K<%AG-0iNWC zuDPi3bj0CmhpFLx1?~3rfl8Kw>vWHf*(K9RwZob_Ky$B^iXJ-oyu4UOA4~^q(hfxU zne(*K63SK?-EJ+d$-meYQ(V2&{0(sm5$TCo1L?)wQZ=HRPWp&v6;UK@t9pIpPoQjS zaaai$yOGr{ra|yPcnC;gfeTY+DU)D37@R`MX0f23XL?{*QNAD6=ZAo|ldtIxjMeAR zx&*HtYHB~^pOdc2{yvXi@MCzlRZ)uAl|`1^2|vVaPyj`TmA-1hDtriU(m9Mxyui2s z%5_UhO~#?iQqF3BSO;?V*@ynQ;)YB3;uWN^Mh;h6%l5Lt7#-jpTa#bCbF#X^1_=?o zAr&= zP}q_qk?_e`%>)-GW@ObsJTST2){xFq!xIo-*@koNu z9F`x`%98t2LiT9ujK5k|QpTL${jyHg+4|<)I9T7#o7XjN-#xZ!q-(y9C?D%n+oYy9 zx(MLx6L&-6zdm?ppBqcPb)RuU^&|(dTst$2b*&YwaQC8<{1D*BvG}tgL>DG{rv=lu ziQKF!b_|cYP7eEb?M;L0z_ogBeEfS(L5quqxkqE4NQQ*~!n|L-U~WkN9Z5uTVxdWf z!b*W7;y@NI-AeFYR8ii_jU^AYc#J6v<$HQdX@ns=Rg~=p>Vd-0Bso{6GifmPVn%y! zQBlH_z07Gh=XpO8L4IlarhtVBk3{E&0bSn?k4k_zyLj3=6)ASisloJ4$FPBj3zD6L z=k6D>dy{GXl-W8)Y{~VzF62PVFm3YjBvE!pR3S#B1hn4}J%>ns5p6xexmWu&@P`K@ zUIw?qi649a)7qs7|87A2`=HmV^3u)%f~8?8l}UKN2fEnb{vYs1SQPA>iY62GG}g^* zZgI&)%W(@otwjDub1@%SjySAnS|RnBS%jImQAFQFl$6wxUJUccC}mBe{GVHzCPl8t zR4|fk{~$4f5NfSe((O~N94JKvX1huoc z1dF+gxKN&WsV+(RK;(KrEcj}Fl+e+g+Ud;IsBQ95Hb{v-?n;)CNs4GukzVMYAjR?z}uouJuG_zTlVgtw)W>ocU6Bd+mD`kOPi8c+5$Pt9##Zq7yYG_ z{3Po^$vIrS4LW9KO8xT*q(U*U90~JqJu8{hE+hXvHNk)mG&rW;Pt%T|w`q@ZOmV4V zHgHmlW)9DQNdRg7QD2x-hq8Z{M?!{sUlUtKQq2TboeX{hR1d@MDciY2ND2`@^a?u> zE^l{kZYPl1jeT^rk%-Bjv0WlR6vPJ`ha)z}z!Rkv&+q0(RMmM7yjhOS7g`s3)LdP= zw}qB_Iq{gC5Kfx6 zsjv6Gt$dhGb{?T!kgveY;@uM4SyAh8mCZ^p9eZ#P3W$~J2b+Cv?WQTeAPGLAyC4Gv zPZ;(XVZ55ianBpsx1bohU|amoPA=6=y65wxb18dK&xJ_m5RIxo2|dGsLlPbJk3XmH z6_<+_mHOi5sM;oZEwXbP?#e)0)j=P-k)hBXv@}@KfAZm#GkFuA01hAul}t!?9rw+G z&mIXz4jC3g4{}?SuatF9p0k$@8;?27%#jCW1cp~iZD;k^eL&fIX2ipyK@+WTh;cVO}%&7S(U^o_J`23JR^WsguF z+TeGgVt3T(0KN*mhoyJ?n`;v5Cy#xF>E9<5I( z+90@SGk1B0Qbw2)i~1&V-Z?EL`)Xu??2%tfK9Jr-grD>FKJYJSU3^=pTxzF?+6)a& znAanNIZW^`U~eHGk^@&4n%Q0%1^GDGtLJv$l>V_R?k4V``m+#DQl!)4nsSNbU~Z!_ zuc#;WP@vU!*{itl(fFH=fN1!5!f#?)fV7=E>NagbvOuG|A1^3%Jj6bR zN5O#WZ5tB?Ho!{Xf;^vGGc2}$gmC?Pwd89l5EW;A#U)R%t z?f;`q+Nj%Qd3V|;hi8sB^3N?uG16j!1Kh7l=?A9Cy@`ak3+5|!$B`2+L&DA}kMsG# zzYqBo&e_eI(W|FgK!y%{Nh=|O+QE`E-o^TFlB*^6;ibtiYcv^XV-1}HS~rs7Ff z#VYdmzlRZEAK(Km+&HwbrQY)tvu@wO4&k`+5xt}+>GxQZ%`4u6E6@5|7Y!z1=?aNa z43Aw@Fhezn+_1DBscURRcXSQAB}i(fEMFZTexlghkY?SLJXdTP9kY4G`8(A!BT?d? zO6ch|^z#`yW5EC3kg!Os}OHl4LPVZFA(?JDByTPn(ixcL!| z{^ah@{k4D7n*8Ju@x)`Vzdf|R;ijC4@mZ`UBd4bK+k}uKEMS~4RG1rUU2d1E*d2G_ z_*hNKQNMn>)SWsp9q5M*P3TRc{E|j~yGsW&W$|-Xi@UN-V&aHSvVs{2($^4Fve=Wo zx=+l^^q9~03}5$e`g;)6gzJdM3YGz+@DB_gGbrkL{CQbvROIK@Zgm>e z69w<}O}sKEeB!O%PJMm7Z&sxPj!{4f350DXKA+qsMi|q+4oFoaCh@DM&H_W5$9^Sp zcc=ROA{_FpT|2z8*2P}xZ%d8N%7YoSlyzA_UXKt>As8v4^!~n0LAEoIb0M0>FN{04 zBtJSHH|3*8VZK>gJBVL#DtgxpRLCBxZUweC?gW(z&jntDvR&xI@FW4bXJ;!c*B;Wn zQ}RAOt!mF{|R>KUSvSP=Bt5GHhKK0NWvY?kJY5sWI(qra=OW5GKI?70jAsI1r8;uB!u|s(=Od$;^z~mLCvGz-F z%1-#miM?XdC}gUAl+)`LBX^OvVAnE!x6KnkV#n?EXvLz%pCw=o{xePbgm7w{G!`8( zC@8D534W``m5}PX1#vj1O>`7&Sa(43MNzhw@M4Lcz4E{N-9br@DDSC{9 z2~c&R(BB|76;?Q~UDZ~>N#giMZ z#672GMgM=z(l#2v(pZL20f=fGnhR&rcm{L~EdUS`OK<{(6~Ls5icHn2WIFq=eHr(3 zQWtXa^5XnFEVDHer{R24u{ zEsUncY<-z8E@X$u9KMABYP006c!s}`zlK2X-kb8L-=5m?3R2NBUKTNwJfD6AVwG-F zpwk+Y5>adkEiAg2;Nzo-7RTq&oEH<@bq(uVBQd_VJP>?x4>V_S#|$~&8`<&Yh1B+o zezatPT9%PsO8I71uhk^sh-72hyCX(?Uvm28Iu(u?F@Xn_4WhCnQ$cuTb zhJ&Y%rl1a(D82Eupk8Lt4g)q+%lHN(PbdT4Yw9WTc(#$0&vOFRto+u2!p& zYq}kE=NQI$Kc@Af=$^!P3D@Wxl|-2Vo#TbJT=5sp*a|$kI}yxzvlsNIou(C!J7|#A zyn)~*W33~={XYRuWsghUOEvxEttla;%E{E*e8=FoDaz;MNlwn6o>f1=+ny+z5_=h= z_8W0dJcFwY0I%j&4@)U58uVD>2uq%8cOj9on|gX&szfIjuo-~o9*NGm(KxB)?+HrJGnA?I_#u`?x)<)W&v);DBm28r|AuTJ zCMLcAdYbwFw2bSf51JfyAOOo)-imj#cxIHbA#Y)AWKsk(oN`Cp36uBc=d+y7jaHDW z%Vm+o-pQ@*6rGw5o-UdfIc|SkDOnHiJA*ad-w85sP|z*nkOqU2O2iT4^rpdM3+{Amlidi#58g1Jv=aylYHLwrbkIY_e=MWN>Sh;` zlSrf%XS?42R5E$`%^oM|hFq=!iy7StdnEAFd{0Me&8XaLE<7elh!GppIXNn3;a+l! zRD{!X(wb#PwL9343*tv7SC!}ZEzpCk8a33l)_4QZRj@}@;B)>$h$axt{^qL&=oQxI zI0(u@2zfNI&vjkkTCmSzna@z-B&5T%Mwvg(Y(to&hGHjF==Lwxw|Xc=7(@w@wd?uJ zt`w&Y$*+f&<;xO?!4b#$tF6_86BHr^Y2&VYRtQ4H75yy|MHM8)pl$~Z0&Jh;KQC|U zeVBh#hJt&B&5*Gjj-j!W1h-F?GN$CwR>z1OiM5>>M1I2;zw*KV`HsZUDf-UmChp6n zVRBMaF^wm7y2$v6{~5{GxybzI^sURR?1W-8XMBVfh4kEbf89-RFmhNoqi8C2S`K@7 zk0%BH=%K;uqJmkX>RDb0Mt=7=GR2D2(Sb)B&de#RiFM2%&kw+3Fr6lHpD#ZGjv2rY zU%%d5v>S1)G>w+W9!v*RQVUYTi<#!B2B19XOL{aL?6;2(jDzRN@-CKMCSDi+csao| zR&uT;7}ghhhIql>FvqrkkcFwILh^q4IkHmn{<^>DP_PB*PVh%_XyuoCNvq;08g`e6 zc^cSd%K{}uBp@$V^(~0}^kg6lZR+Y>BTb0V-UVXTsWrRv^XF$JQk~4B^ zx6#k`C^MH?$bnm~%z6)!)n&yw!!~@yVHx`G6qE=$h9Rb#PYT2ARK4wv8zsKL^Vr#% zy*&ou4P+YJ`*iohnZ5wks2XtUT!~Rl00d}td>>R}DkDE|hD`)94zzPzD-+H;_a<>k zMc+eRo=fgY?->ozBs^013SOTmHoGf-1Fs>P#L^!rEadwoces3?so z_jKhb7K6F`=*+a)Vtui@CTHi)Q;7`q54z)&tV(DxIL5H_lAlUY!8^lym%n+(LUpgQr zpQ=wD)a|PYmWjt19bG(hbX64>aKcR(nkvLgM+ersY^gy|rXgRfOGG3Bajlb)X|JK{ z=SX#{{;8uLdPtUgx6mB9^8dOqBF>vcZTP_FWgYv&K(CV_ZB(Yl+1eh@(TtLY{q`nC zB(6w5-9!!F`)f7BlPtiWA~lClEG4_?Rrb;VtMrRFXSgjNS0EiPjrVa)#)O!i(kbJa zb4@a>DM-TJkj#+~lgyj04hZ3OvVL4b$ooFGs{kv2>5ubidsw9a#odK6iD<>tF$<$* zZ+g;KlQsEBODJzV0s-MSA;lGcqwGrbo1HKntQ_@7V$|n@^SYC{8h4jwNrBC#+Ri)y zNF7hy!Tqge3w#yOA`qs5%Pk%ABVPvJ~K~fC+dQIR;s^`qrV%zEdZZ&aYwagFHORa+bXB?t28dK;n%{A7> zwPiQ-R!I|`j2@@U|BWkOu~N?)x7eS19ef-h#)+=6Ik4_`&;v@oseLo*<*_6a3KsNv zv&wAKW;?#*zWRNbQ{Ao$8PC_Vu=^CnQUwr7iDiet;jJep-VmJQVC*YmLeOn)@3Q7D5w#J*NnW@ zxs88n1{!8=nIEPV4^N%HR)r_eAl>z{ie6n~xQ9!(oCYXnG*rS+-MO7^y6YC_g$K}% zN#ymwzn*1LCZl+Ef!erFnGo0^H-y*wU{u*NVwOkA=dSDaNnDZi+ZhpC$cw6~w##a9 zRMmJY)#bzTmTXd}{j+6dT5rj(xS3n8*%1Do){Fn}sn;HdKk{g~kDtKJhw3e-{mmvp zKLcW=sqJCH6R=!HFx9=*>hAelEZPJ`Jv`LxD7Ve@(i^qp?}@}z7$AopCccWLoP&H{ z-&;hwb|jNAP4Q6{p|P~Mas@HtW1T4 z`m2m{+A4QvqEA<`0E{W07`k1>)VS*4Ko+*~Pr*u=IVLE2enVH*sioYY?2c{Ysk5&T zhX&cLo8sC~cgg<};!J+jm6<7SxZSRYbT$?W$^hW1){-*4p9b9ru zy#us=GEd7ndUYX}=P0&$MMFy%Hk_iaKq6)Ydjo^9CkB*UYhSDmMY4wtV6OVDI+d&H zlpfKTaFO~lqtxegwYzikN?(JT#on33;xWW=D?#qaXSPknplNVpK)X-^e+;vO#j6-2 zJ@x*VO#GaW6RzF62yOwTVcRT6IpuP=9dYfiXMFx?j5TbHue8D3mr3z#}oer zpF2R0L1NGwn{>_k^~V>NQ`QrapGGS#hZ>hAsimYYIW5atRiznwBK@Lc=O3zP&2^FjRpmdD&OqJ=ovbl#NF}>S9)ijp z#Kk9ydK*b|JL(Q!u0B9?-*ti-8C8U!X0i=tDxJs{@rIF4lCTD{u0&{b?_H+>9cW^@ z--2QNU8&8S8;H?6!-Ydy)a2_%p5c3S(W?Q7JMYi&<#gB?_drUu+||R9^5x460!oI3 zK7ayEITMh9060E1J1c^TlYF*x=h;|Q{H4^3jN4zzk3HT*?^Zuic1PD*?p%OM4~!#h zFW16hc4*&bs_Fp#p}<@#|H$HjaK_(KUxdGjGrVI_f7fu5X=+ZZVFJN02gtTxY|Q0# zngo6^Ax%Cozd5$Xk!}KOWBH=4izx`n2X=;snL7QCwYX zTu$x}52Qlg4=gJ%Eso5QFs0i>KNE|CA9%n?rSSi7x!?ie$sv2;%ni#i7Lu*uTbULd z>|?&Dx&xnPpA#Y7d`#rS4@*Knx7M&jtPUHP8@n5XzM%%z9YOjT74?Symt@W~hNywo z;4|y8jdd;NkkujPR$mJ3*>Al($>F5DK@H;U)V$KI?|X`O+rQ+CDRJ z(nC7T{NWR39flI!W);l&?FPK>_tRNGsq3U7fPDmmLS5Pl6bvzv&z06Y)-R{(Ga7h? z(2fO_&5Wl8Qop7{p4NFk#8MtiCyy=$Lr=~hDJ=IG4&WJB-yL(qA9&mH?5{k#-pv{* z!scr90dn-S=!=O_KNdxQV*+LHfI@xUsLwO+zS5-3ne->fW9G0bd6MD#pleZD4SRcw zj1?Hy#-76VHt4s6!;kH}z%idhJolnOn`#{>8%u~^^jnjAYE#7xYnvp8orB^d?Gg9- zblmkA&IIz!IHY+oW`7>X9yW80WrZIW#EZW0%>Jm9_Bi>m18O!53^b4)~`>m=wBx!kdT(x0(V7z$z&BF#L%luF%~7Z;=#F{^&YlNRV`yOH zxyV;Uh=PsS?rIE=j^4IPDGXnpn3%9$2sJ42K?Qct2p`WmF|Z`q`eh;?kII*7f>U}# ze2NG3+MNxLLwbfVp0f8Cz0sAxJ=S8M&7pedtx#3wLsBEh{<02}0~OzN-644VQl0(8 z*3G8W@Kc|{efGxCwGF=+iRnBu@V%@d3#m*c!+R9rO}VM6ef_B^5qd++r_YLU{h0m5 zF9W!mSHk*H%u}o5wIHbkXaz`n5I_!RWJMVSNBuu@d+5PaeK=Cohp}y`JCy@B#`015 zDameVBNX|;l_pTFNmF_-j!yVzwmVNCQYr9OymTiQV2y&MEq|dIVPFzj#0OU_uM?5| zc_B`&@0|dR&`PpKH)k=#Ej=h{z(i$mD{g=^y}wY|m*;MD`tG`QinA-|BAYe(2B)+S z)t5RAw8-J0p~7E zDb#(|sa+RyQ5QswVkpt=dE>Uu5c;zsqiQjTr*Bit9o{?aur}cisyLr3#!3GCj(xR& zT~WMwwrYltPcvsTTXBU-W2|BDRnwKz#-{}LJ1x24S9~yIdvKnwQYV>33Nhs07Y(fA zjq!KQTIPEZ)_aC!m{Ixl_OjXD(j+YC=YSxz39wo#?r4&zrDT{m2o%V2cRMx=HU>_; zDUjcjs@ES7>empUuJQV~lSVu$7kkHVGRR<6hwqo;2sH77)EB>qtH}lH$iNfF_2ZLg zqBsm;u8QJxcsTODRdGxy*uB;-^?b;btyC;PRhjXj+i!RSMEy@^1bXk+fNRm`Z9l}H z4aH_E*vuQ~z_I^A7;K!uu}&Oj4=I(iGtp)LmbRn!De1rKaV!msoF!GXUG7x%mSkN> zf__CS)jh~z+)-=nb;29TYCu)!=p0>92DLLVj-{ou)IwT3LB+UeLzUM!v-iDJeZWUR z)Y(>ZE=-vo0&E6}pVTmG z`{ae0bFk4~8;`80lrzkP$K`ZNZ}9o;?m3zhda7Io=eFRRgTj*~;9as}9dH=!G<^94fQmJ-E0#c$I zGv=e^rB~pYXb;t`wv>75l$UghjqRS*!7J-UVj0;IS)|g*X1Cc zq#%%ru_`?+L-xVA+kMeN_9hvoe-xnKsgQUu?*xQy1%!neKqqj)t+|W$y*nab2gLcb z|4fq^?Db-*B=k1qsF(H_%Z1j!>dF+gwiUZQ(E2uQZu;_owrCoZO8tkLzW}k%924dW z@G#403!DzvLa~1mbM}jsfu%E`RoHEIV>eh4(JNuz(X_V2CscjIu5y40o)a^7dkh+*ZLw zDXM02jO}uCxgjl1%KOxZu`@pK0@@KHjAS1I^shCH@*w~YmO0HahKI9*@xzy2&tpz5 zC1B(3I;|WSuu^FUBfCFD^002ZK{CIG%69_}gF@jgzH*br2kPmHagHV!1-9az+<0wb zT+aJm#U2~rP)klJN)`=8)8?uJ+$YWfkgaoW!O^bH%dA0Rq3bk@x27VS03RRZD=`@G z10QOl^EX00Ab+7%UWVr+9tt!dD7s-25#OBYJv!SF<9_Li!@ zj)rV&V|Ze9_3bYiesy&RT)$(L}#+EqG5dj|60D# z5<)K0LWa*Pl-Q6v*CFYYu3srzBNpJc}`xd)I0#nOwyd|th#o`-d|a*%}sMw5~P zup+Kc?ib#Nm*UXu4MyPRBr_r<0xeP)*YeM z9LBs1KF$llO|PbU4h-cS>E9g|5x?Xo`Mnw;;Rp>fLCu?fT_4MR3XymNdYX50PcZ?} z?9#2({?I=HEe)kLL_-b}k3H26zhrDu9nUXS@2uLps?$q#oPoxRd_)KGu1a`D*WC6g z?5mj^hduVA4Hli7Tl(QH@WPRRtiXTAJHaz`9ZXk}nKY?O&#S_Zu7x)K`D*{);sPmx z{#%O`7tZ}dFsm_?^@iI?-?k=~FzQ|r4mdpFI0_D67KT$bNZfSla1y+igP#np*Rc>Rhj!^>Lfg-ifNAX zF=COT3o*P2x9Kojp`~Ac_R48c>&Tz&Ag}U#nN~l!s3KFvFQIQoVK~c!aj9q)uxVP> z`}lbpfur6$D72Ek?1MLmK{0S0YP9jeg{j0ao}H@3(>w2t|1lDJ0NXpI#Szjw1`E5~p=nc0z-1V~QHg^6CwT?ZJ+Y8LOcI5Dv16#@kHzg08rh{dMC()?a zOur6ZE*7mU>oG{x{)sKDNjuU1sz`Hw@4<#kgAkjC0e+@ z-1kstT0GD&gf$EAEDm?<|R zsM&JScbRcc@v`y~5q{b7^%EJIn5T0Z=lW*UU-P{HEO0muCincYpZu}F#=v=e^4P(y z7GCca51)V=>y6-NtB=p^eyU;tmsYMk58dp0Th=H+?WDK> z=HaH9cRRI*1P3bOOvSGNOUp+8VDZ_^dVs87C;aD^qe&YzmdRKxXaZ>E7$;$%(1$7l zjPwKq|BVnK2sbuJ)`$9Z+$kwR0PvUyr2Tx7Wd4P; z+p5}&lSqbUZ20F$90zD{zjeflyrVSR;kB;}5H@MI`WjO>iOOs|VUM|sd+D$l+H`s6 zcT6KWOSo?FD+AwOTRSEVOy|?0Z6!Maqir9VC(XHr&uqQ0sq@9_1~ZAB+rb7 zt1>W3ftB<2UR=PhkLgV@^}PLpG>dMI8YMt$cGYM%+bXiK^S%!2X#yP7+|e~K=VTO> zFL}MAMMB3!Dzd?vQp7m)GTN-JXR5q|c>9!f%kYI_kpXVm8- zPa*(i3~uWL>J=IcgCat2XVKO>`{OUU+k_8JF)>l=BZWzbAx1|%kO!C{v}O|${-mzx{q% z67J@%`=QWl``N(cZ_82~%>JOBVN^m&nsbdT;bdy*D;SxpdE@5P0w+`Wf-w^%Bm7SM z^(HcXw5e);k9J*-QMpKgZrVSZE9?zB;zx;!V+tfv~o7BvJ1HJrp@HBo>;_Fb$!Cx*mS92VynYM2|FcfxFeS3d!& z$0Gf3*tPP0ifBi%-$UJFDPTX4zu94HXf&>2U3Eg zE6=!|dTaVjUynz$69AAHdp9@f<6N1KQ@1Qj3U`9{gwntI?>lGQYLccE#J>@1Co*3Z zhM_Y#0ZEND(#0wTmMs<C7+met7d@`~|s-cU6VSs@SkC{l0>|;JikQF_-;IuNk!n zE^uSpRdkqI#}9~RjZM0ewpmyBeRJMk!r@b$_r~^hWZN_0C2VU&O)Jt$2MH z@wtu8sF#*k=?L3^?j*49tHQ_BsnNw}C!u|otM~Osm$sA}g!IFlth^2K@2Z}GWT~oh z2W!tKBsC4UJSc6kA%If>WM$CFXAp=$g#{RHWt;04TSP<%UqA=%at9bG0=YYw!v)w; z5>G!owy?D(P}Jn8!i9SgZD>{YI&&asUZV81z5Q6*jC_22yeZK@&oKF=N!{JAgMb}C zrke1ud5+gaf@{Fw3Vr`rB!v-7R~&p)s#(-j!kq+Mrn*o*-g!hJ<@*xNk%dxMQD%=G zJ1CjFoZ8vn2X;?m0zt{{M(ef5?y1kgY#+!9+3+RzYMr^_+>r+pIM>&+jPG>2x!wgV z>lT09U31@aPF-SPr==!O(>2zeoh6}I{3$b!sU4;r6p<-xNGs?{M}sCUGa`I%mvd0d zvou50oMO*A+DH;Ukef0-Z0$_GA@}=>R$Cg!6w{mG1l_Vd`fxZ=6SbkbPuSGu&V;`7{Zdy$g)9#e<|=#<0$m*DI1onfeIuG9vPjScmO zHQnBh8;a4xW7R(8`oi$?IOma>bro3!-o$XcljqgaqoU{L96@2j0cmA>D^c&*Xqj`& zv;mblihLEbU?}S`qGYEpDv))-jlDPk*doaTD7Pa$^H`pr;+T=Cka)1cbEAVtI$WB7n@8qVurbCsT zt&GfSDz1#U3i=D7rhujiFPx)EJ!U{vw43s5sE|`TAN)%?rqdrI?QhJlbo3E%LAgry zhi}*3Yr!*423o?H0I2yZ*q)jKm7L9a{4*~18?D>PX+gwAxzvWv zt(aH^rCXA@(#6t#x_#9|iXI;SVh^;6!F)7$GQf2L&HxbM-1<=K!Q-W#2I|iM(=j3X zg|CW0=@zzsH&zZRlbH@T=rz`H zr?=*e~5_K=&tQ!s6QCQT=yTBjaFlD9ebr={W}G zDSWP031UQAVRGI@y^u(8bWGuQ+w`D)&1i_2l~PGZg(TmF-ZEHv!0P_=R@}^kC~APZ zy^W=W*d?g@M!i&Ar|CP{2>E|K7!mt&$MJwxcoTag_fGY-kLKS(X>Z0d zTNbVoOK?*3_gbuV8==L?i-sBpzvne^par!!GG3n?`13%G@yoYQBFyQW)2?gZCKll> z^~=etMDBdWPkK3?dbtUl!ApyXIlpA-St;D_8a*Y<4$K97u{DO(rMsX& z2g|MgHW(cHAVD1VNgBwy?HRX!1fihhFPxn zAw=vQm>k~9!V`VYB`Jl3G4QK1xW=F;AS*aY%CynD8K#fqVJc`Mgsv}U1lPTnb!|nE zzpn)E)`UJ6*T)v(JLfxY#OIXb-WeyWS8E9Wr~ogs%qtH?vCql$;WBOkYMXJiX~#_z zhsi@dt0L(ZFSzkssaq3}ju;kswu4`o-} zg6v;p5DB!U9Qb4Kn6{!>$JV}*S&X(VqT*iu@P`kwOi)}OjA^*&=uZuko)cD)p$p%_ zJu62_>0bVozJy}8zqzGX(50zLviiX;hF~H6i^^UMI$!y`sZCdjtcXV6y(BGT+xTxY zD|Q0a9;Lt)zUAT z=?0$wT!Pl!rq4F`Y~1V2gcHnvx8BL$=6BwE3Mh2RcUUbGALD_GSZ@i;yXVxXr>7yC z2{La+5KTxXx;6gzrL(0jshL%p;co!=Mh`wpbKq*9jd)!xJ&hw_IouaC7u&wTmVpin zV9Qc0F0=!cKcKP!@&quX0hl?#6BLxPx_(+}r=9 z<(#ygP%7e_vW+z&WIGj!F=Xtr6iphTY}uDOIfYP+eJjjp#+Kd4mO|Dk+hi|;$xfER zSpN6uy#L>Iy_f5H&w0;zdwieg{@(Xzy9FpQb)}F!>O_(0k$i3(cgp0i>?%~%2^?G^ zQ==b-I5s{ES6PG`d(WDGJK}$A{@=8kwaqrA`QNsVg9^!WrKIEti#~ep{bTiqLcWjv z)+pt-t#8A7h8U#56{=a@y2n;Tpx=73y8gfoFo&5^9}pTAv!u)NeXFlxaDj4Jg>OO8qFptqEoz{%aH8Ti*aZ|_Ho#<-%0HuZ?6K2Jb`oz@igdj6_tIAns%Fc~v1Yng06iv(s_hl=2*XIx6Y&?| znX*lcrcu{M6(M$Q(n-hMl9~;&9Jl^4&R1eX#vdI*6{#)83`4C-Q+SKwr_#^wQk!cZH+S&=-GQdX>GPvolJxOfp6oDUB$apcE73|FNjal_B>cQn_F96w0>ne z?|{mM*ey$!n(y+J9IT2RQWM6x*KBrewa;6K;o>6b?;ovlI}lx6rsoV2>|##kppx#{ zjDd{R9OXGt7xRGjf(OH5y+%V~20qvc-$9pU@6_G(0u0LS-1Y;SHhGa^EhDtb?$={O z3#W+B`rT0@j6|I=d1dL4$~G_XC!mLW8wCRSFyJCmhF`G4u4$BygP+>pis26uCXn zi19r$zAiotF_$XWgX9hhF_wdv7w{Y9ithwPvkC>sDTpID(Q@sU(dpMeW}xZS2>u!ftr? zYarsH-Nhp1jEP~~*be>Zh`#>wrVsNFf6vIAx^eKjwd=7p5WawaFd~CVmCKkF5qV}T z;i~Cd%KnBVCWJ_E9Gx1_=dPT2=$m{0?rF07f~$8QZK;qmBK>FKoAOaxZD8);+*p|h zI`M@VcA*haW$qYdAZYVW{t^dv7ge8g@m~`y>W~Gv?TvrRGpq-0dI~VoY`ZQ^bds{E?Pz zgukA_ZK%}DpFI7@JdS%*6+)L?6c*xE7+mPH1HU!Z3{?wS57^IUg6iPTYNmOT75 z!-)Q7Hj;yER91@qd{5J*Z4P1h$S{O|&aRqJ2!1p2HSQY+=98DUKGXmEV~+m2yeo@~U`n6q6L|xfpM`C(Jb*O9csJ z)9u1i(a)NKeR)DlrhDlGi59sU_@W9L`LDbi)C-e8efl(9`#_I~wCx%ru0*$4*=-%n z*_J|(x${<9_r9m?M<%T%!m zkwqK2C>408Rsw|VMxHri(VjP)rm*G2(7%(XVAntDO$QC5|ln|R@rTJaO*Sa)?%_NDas0rO^S?!7QOG#6@s)VB)B6Sfz|J>ls6 zdU|?Ma)j$$nfBaSNfG`-UtM#Bjr0s(+zZ<`lvXL?707PJm2ME>KnAz-^peBM?6bi_`NZ&17`s{ek<-vf8}EZSQayF2da2(R#9h^|?k=KW!UxwR!6sEYu*VE}tT0+Ka{eJ7jz{dY{|j8@F>kX-uBDl@Z zyx4ElEUiXyoi$U-M;OjzG|P$C$gQ0+eMTKhl-Wy`^k{0$*3E0UElB~5WY;@)a7Z-S zvJp2@52zk`dIfIr^P3uTc*QQJ^omd$K3o21Zs5Q(W+=1ON}G|W##(scb?Q9 zBeCb$SgW^fw%)~_kPl(cS}pf`J8ye9?I{k#`rWr2Os#tsIen}bpaD=!yx>b# z4oj8H^Nkl&y(qqs?M!bc_Tn)O2o1(;xdbu(&hyOs?|}d{LD|`ZHkmX*(|kfLRaKuF zDw|-o2yWX7pe5fCBrqHWy^g{L&75=bvClVAZnh6PlhM;I-4Ck?oX=Gi$-f(e?&}t* zL$37H=cPXdjDOcE$X3`-j%&0{ zjMeU4^GoH#TlLN>=;5sH5HFxfR0b zLtLKU=;cci3~A{4PZ_48gt=IVPL?4H)cG585#*M8CNcFlxI1OWvKMt_EVwlj@1c5r z@;MJzr-1%0wr$YP!>-xIxX_Dt!MqH$;h%di%yyvy2&bphnEB7Wb8FNwP%JYWQGX+LlY7LyY__1=v7h&QC= z>-?^1w0hT-yEgG=XJ%IHgX}INVq>G(9RbX}>ED{Ah4tlMpX8y2beQ;t!m3Y*q5-Xf zunQ}a2(kgvD3nUDjtQ@6CGghA=Y4GN5}_Ci$uO+oSuY!0)CYon*&IULShN-v)r?lt z1J1PZt7lAPC4WJdqjU9={ILq%a@Jp+vWXSCQ*;sp(!lt1oY5yUR|<*E0|Go!QDRlC zRRT4U9SWwdY03`=o^H*uCOtT&R*#>|t@a5<-AGG4zMIc zCG>bg=Y&O#aYWkXDAlWoi*A_Jfw*?%#yZXX_yGLpu@iFSW=^kWqgdMF%f`{i2GB)T z?)xTPwm=s6tyo1F8rOq2r#U>srW#FU^d%q0r1q4AyzSt>uK{hiQZs%g$0Wf0p?j7<@ZNOy#Z{>xq9ZtnE&(l94c zX5g~8jTjU14R);r@x#tu-SbUof-vItyFn=!BYU0*a;1B4#v}Ao&d=J+?R66RBi|rz zKv`HXLr%!RJ^MuNJx{ir{MGj0vnT#pvA{ELB{{+6d(WzaUYGWLoN7f4PcsFPi zpuh0x*o^lq&R)jcJa#NmZm-E$uULQaSWtTwfh(I-2X(q%MwK@NVLfvs>4u}u-05Sb zVko-TrbuDv7ojEl90u2Ml(=G~b}7HGZ2)bRayT^Ig9=RrQ|s=50^UL1_LBtbO=aLx&Ihc?qm;1akPz zzsvL0V7;u~W+yy@^0!iI8Ga3u^l?Aq>g^_VpDLPcgGxDA7pIzI+@iv@)k2}EEVdsh z9Wi2@);tuM|5%S{gHGf;hOanNrBmru?SWrY5eTgieOY#tkc6%nP(Y3%R=phkb4et3 z6trk80h9etpX;Fu2Kebx?3K_9&gWU7Sw^iBt0ndl!#oULx^%mzl)5>CWR=FQSlef6XFaoc`f+^%`s*)k1| zErX3g`D-b)*{SR-1&x5wS=440i!pDo#F6$?e^*G`veXS?!AsiGNW;MDa}62~V+l%^ zF1v8n6GJ~%Fz!$Gm!m3-@X4V{RzIHFeGU#NpFbK*6tQPvJ-vZ zK>HO<2SD}$G#4N|g2XxP+`X;{)ahYw{F00&U$D4MzloT&yRUyFA;<0vE|;rVL23@> zt*AbUyLA_-jdApbVczx_avA)wHto2b|(w68?rhj-mlrR}M@TInw}QoKXXb{-m0lcE`ouyh6*GG+kls=Mg)+%|Mke52Wg{9({~{aX7Ir zoT{4YHt1(r`aIBZa{WwWcYTGs9xw?_Q!JnMc4VU+bOqA^8Rx=lm>!bH;5wA$6JXn( z_e}GzR%Qp}MH0oDH{h|4&r7BqVnvPU2iAga#w`}ir(8jaAHyD>k3F=A)SUFjHzw)C z7|%{98pS$O%)OmZeG|v zlm!zj92oor(>9E@PA?HD(V{Ul7n(;%;fdP5I)nb?r?XcyZ*nJd`{^Fl7v^HIR8Ow} zgbF_oKK;+0y?6T-{H_S$VW~Qf5JF4>O>eGYmhx#wDW#uBwLi3q9$Wx6V zWnQ&T%aR#C`g&YlsOb3o{jHi>W%Uy*Vt6%v`(fbI9ijiz=lkA%-MuxpedOE^R-yqA z?=PqLad6V#b)pCbPb>r5wYiUB$)kOx+V3nma5lOfP;5(r??V>Q0TFDS+=^q4@|}nZ zLG0}E>IQ-FW5G>UD%DNuySBFO`_qx{M}g)2JG;B?{rg?e#Tn|W216*7b^cS6sig}B z1%uq_(AgvCYbf@ zb?PpgEzMX$L%d<0ZsKHyRFF{|?zzVMjAYZT_B2EXw3>Z0D~Z3;Y%j>%I>ob1?9Y#w zs(eECjzWlNlqF;=TAO0`C6{X7>?n4&Nvwn{9IP?3P@=$6Dq02qY~0lG$aN7PH>x4N zBJVB*_h6dHaWhxT9+#_PBaAe6ZkHzLM*iw*$j-`?q^K+Jw_3Y@KaD(!|(z~3q_4NZE@dB@{#FZ z?+^$QrBQ|`fq9IJ^l?`5ZlZs^!%A`7(TCVVRf2Y)v9S^UaYZF1ZM#UU?&(0j8xq5& z6C|Q(b((Co^HABQ>eumgw}T6QW)1>@T9X0ym#fy_B`KTm3DgXCIe;c4FVve0p!wZf zWA}FfDOtKBh-Q^wRZw&|b=+5ai59U-4{8cQ2MBOI)m3*mRruwupi;9DvAH9;yd_*8 zgVytNK7Zum?7$i^sFU_FHC61k+g#+>no8rtcZdG0Il&YCrce0M<24wPjg4P-I{;rx z11u1DU#FL^?-Y3xihYw7>Avy*CR6BGKklJ{nsj<&f%NeM(887M4d3_AE|9bVP5}Da zsN?^Pn7LQe6lohDeS@QlJ124m@8f>@phn~`&XruV@(prg91Zkz-9L{Cl=wQ%@JL!b z*AOqBQK0jW#7Z&;t1E&>8{mbva(wh|%I!T;v5L9k2~>C6cY{~6yDyu^YTFvT!76Q) z?(b}Qem+Y4dk@ui!d>swy(7({p>F*RE^ZN^7??l>hg{P!Y(K)RaxEZ0`Wt*@_G$jd z!3sq>lfyg<)FrtHxGWrAH{LZ*l$s$o zV022LGXY%ang-vRMACGf4nlYuYj7HOH?(lO;aX?ZS?2O?K!AO+V~D)F%iG79J<#i&^xezA`zHhZjl?KjWM~NSMpoV7KRd~ujRbXBGmIfPLJxtIp`!Y zVR<3srDhrSYj%7G_i4vYrdwCccY?c!m3{J5H+VeHz%RnBmYD;Aaf8mZ`T0NKngMhq zxcDo_EyH|jSYg}d(Hhf93(X%>E;$RHN(A&2`b$#7t^a$9=yFc1g=uvvms}F3KRrfg z$_?iZT{D#M&4573TRM*#V!G_=j2J~T-s24hT2k*T5Jykdm>QI5t4&s?*N$$;CAAr$ zDXu@k+S&04*CKYNu(G1YLeLW+#Cz6`Ix`*!BXOQiJj?DVuu{T+IZdNAY5*M z;6UW#wF4?LM_V|(b-Dl;bg?A{Ci_Nc+t8HeRcx4j)b!yw+C)|wyd@B+4Jm=|m50~b zr_`ij+_dA8xu#Tv(KblQ|Tq=-ypTFhO`RawKNJDd0``lDxqNV9Fq#kBr!G! zZ@LOblQ6q48q&AY-J|^?s9cJuC$flEIS~P^3@0ARVTVzB62nxzhC-K+lz53t0@QylSH z-39CUP0Q>BJ_9VXo?ghv)-mK)Sn=wvk7dijYe5Uvm(QWO@>h3ZK-E=`kk0s@U281! ztob^G?Lq)23rve{5)6MCg|n%+FYG{*4_Ul+sfGE1UMuJZM&A+(sCMr`(8L^KsQn6S z&AjbgIqb@)EB%;h?`JLG7Gh9ErB#o35Z}#>s5t4Ak=)A^Srh{6+vi?6UOTtp@D1!B zuioVO%CSI1m=Q`oT6KZC6Htnl>ME|FzRSUhhjcJIp=FXHk}g5UJhz22{Xv@6TV!DuK}hE&fhtgmv67L)`ejB*V^sb^mnG4#<;B zYASD8`nOWFpTjWXeC(G-85d>3pJC~&P*W&$fWSujZA1JGo(6DPZlEah5kGhiE~ca= zs9VWtYvu;z+lcXb&nhYL%>5?0&~sZXUy|qHse}7|jWbwBgV|KmP=WmY^vi(C;W9-; zMD9@<<>;Du%f{E%ymAy{SCx%K^vh0aNjaSg^pwyImtjP&aIgLo$hA6QYA*Ck z;fcwpI8_xp)VR0Ewhm`E8UUywbQCbR7;uAU30q0m{wW$%QmmpdoOo_*L@)7i_w6?k z^37kowo~HLTeUSKqC0Sp&B~gr`Ue7N{^c$H)|EeSfjQ&G>?c6&7PWQ zx{Zh?u%XT6T7J?XxtZeRmfsZq6kQC&{u%FxijjArtz)hsa3xfW$`}_*#UbIMbI$=N zs(H>_&)V47XEb!lCs{O0Ipr|q?f_~IAr-Vp^#}l+zr)2@Wqm*Q$X&f95?=&j*izs# z{JY=^0*;5r#_#Bd@8_0fyYE?f);Q^0(E5_-TjeZZ(0ZRUr2j#$@7p}NG`qfHf8EZW z8CvCV%z(lk zD>R85lf^y5d3mVnDoD;7#W@eU2fP#9ZbuF^#LOi0WuE9+B9!uemcw$}7+iC8mNU2r zxgC$qb>kY;GWw)r>>!nSCr2qAgjum{5T?Dj<~LJCeqx`8Q?>Ryy$F>Ru9Y2JNXM?* zWpZn(I`V;|$NrY`8A6(ZLEK$ceTSZ-WlD4Q{%Rtc6lO|Je|28ldv6+C^eu%7Ho140 z({9;MCOV}p8P8a^i(BV6ddLk=Q}wbeh&DOoHNKk)`oh+KAa4O&C>@T59g&WcRwSk^ zNA%ctU9_u^XS4bs-S};|QCNO9Uk;KD9pzwSLQq7AB(>e)e5RY!;17aTm~qbgi<9T0 zn+>XMkc++2Mvb}t#=PNIEzBlav<$>_MC+@C{EB>pXuk98;k1Z4

l{R{8_HBj!lw z5x;M{PaNF0TKk(Cgpel>HP+XZ4|{Eq8%5V#5zSuV#Bt?5!bFz4%iQvs?AoeAc$gJhFz%YXkq^x8;0hLuCP3J+-71n0Kzh zaRj7pegR2Q;ADwbmzntFE>z!x>BPT#i|CC*nv7fjrq}YbWJA^TFu(81$?8=;WPgdJ z6$Vj%TW_l#sF`kGUtdst?%e5caIgDk(m@bikj?CRLQEfd(CI-l6GcH~pTsmTs?1q* zfnB<9!Dm!a`eenScbPbas)s{!Js0S)Ni`SuCn?7c-LI%Jgl{bSmHb|{)s(C-m6^00 zPC~wGjSTDEbA+()>)WRwWM{pK;iT9Q&)W{kfw4EJ`=iY+ry`jP^1{FO78QZ(EK2uv0ode+$nOeR`HA_6&0%m$W)zdOyWue zblVC!a|_JxEWH&x(RbF>UNa1tGa#_W+EkoFTgHd|jKzMlw74LA6~Yr|hpNKhD^vEI zy$N~Y_u6S6HEWkDM)NM|M)lz3DepYxH2ElJ8UD_W9&^f(6?@$D_E7OR+(JNVHc-Vk zC+?iZI42-)?D$+JZVdF75Vrb_E5L7gamdyXhG-CXZR<8u3F&x}6#p($vq}7QFj&+h)2iL8uV}`U0&3Or z{|e$0b!C_%qQqtR$gbZno{TvwrTDS_Mfn_5G!xH!k^_C|$Au_2-b-Z@%a%=YOn;Wl zAUGb2xa`66PH=P}HjRGKE%U(IEP@i8Cg+h9{hD5a{L>(hjxOsLj&`HUtJPqi`#E>I zxJP6ZkHU@}4szGsi1^}gRn&6ob0Oa0o5dle1|U)CGe!(2jySVIK}BYK=K z#PE5ZJP>LZN^uhF?%BLs2SW+~F7{jmF&Deu3q0dMDF8)yZ-1xgXE!&#y^hHr`1%R* zQ+pOMUri47lxUP6^wCf8l=4{QZJH6;QbR}mWQrma&S3)kQJcZxGUF7Nn&4vx&L8DIJyYY9qS#EBox=e56mgNVmACU>dK zDeAJr37p4FvPGSUKr5BqjcT{kz3IB;eq$wZ^s7>uU*66d=5O8k0rH@TTxd3}=KNK% zffBj*>VP3O=?RcV@HNnAc6_H#;|o0AS+T+=r`i~k%M>Bu<*>$2%Uo@*sX{BA;Z&(= ztuH_*-B~|>U=|*9myp44Z+phS%s3E z+_t}SHHH_d^4lN}#sQ|FU!h5m?g0-It$}%bE_Nha1^?|%MKOugb>~sKBOg1fK!XibX?)W|*%a|Lwu@1IS-yl(e1|uO*=I{wDup}m|@L-k! zIdSZG1{&Lp-T=iuP;nsmQ(5_H2TDj*4A5ndop_g5-46K8I84IqZxLyBW2U;T<9XZO z`{~IaBR<~4Gf7-;$^K)44=Vpnig?LX3U#-7ZGGeH+uYr0k&KgpRIizLgU*w;kV+&Q zKYc0usX2e)fB*ke+VSrLB@qw8ya(+XBWtkrqj`e7IT|5glOKJ5*lG0d2RSm|?hu1;1g*f}#t*D^-f&=4?GV?vNzsI=C^Osw}-sq*r2FJs2_7 z)@6!jxEu-c94oCy79V0Bk>B`?s>$51^|G=}Kz8Sg-udCoX__i${HX5sjl4PGppqxa zu|8Do^kkKHq=HEbxnTUbXot&Wx?nSdi zl^VxdE8;zV5~L-p=uEgGA@Td({;Sqp!l-PLMf4p5LSbbMtd9c1-RXRSF3Tbelq-Zj zvkU}{cJR+h#38vgAAz)8_+~aqr?I6CIeJED)nncVtlZNZZb_n*G}WV#T*Cs4gm-Bp z1tb0+yh9Mvg%VVqNr-lBvR;vd#6<7=iA5FOhD~k0AK1Hpp#o69j_fuSLuCwv;;RJ- zBO_<7R2=cw*S(c0a<_D5A)eP)rIZ!fJwb_Q?=ENzPIHaQm3nU$$JZ9F94Zxi+wuBqOpUDo$;3M%4E2=g*X1!fdlm)oMjii`tnz{!PlCO=c1 zQ<)l{PybQnZtbcdf})vSIBnngwd9~pB+>S~Fmi1jjG7Kah#iHV9eP{na9KN7%$ut- z*OgB)cp6K!4>rpBBmYlvpmGqX4Lgd4=2&RnWJ>fo12(5KrXAL0s0b8M>6;PzSj5pr z!hXYMF;)76d&R@8>Hd?*_L9KN=JMp$5vF~Sxl>2v0cFrp3u>qNub8vWYT+Xn@kwf- z6ELaol~~CRM1C#9V%<^)8{K31x?vZsOc^i!3pd0O32Ep!q4T#-u)B$FsVWclu}g z2cqdhx^A*ELpDi*&XzdsmRW=*0{L!m_9T|nAN}?4KX%_sx`(4h+uRtulx#hf|M+2e zoB^Y}+kd?g&9jY?E%Wz_u+)ekS?2TyI;$5r+I0S-gvB>Li;BL^`O}v}Tc-n6_?$g7 zN=CtX=4sQ~*s7V&@XSLONHbolxa zfKjK33Q&z%@0Dme2u!IR1ubKoAi_Z{){`L*3^vy+D-8;2(UwD~^6hqhs)W}Hr~k?2 znT+Z-h-y&h9*yd)%qsueWLi^4sW}y|yM&JTX^#@4rq~VIT33n~SXYh ztvF=4D{qWB4ht?RsLi#V`s%FM-s4`Akh_f^wY(Wpg-qZ$9ex$OsM@Kn+bMeV)_8Xb zTpA7!iXvDNmfLvGkp}XNJ4NO?CFlY4&@Qv7L)n}P?a{77s?kW&_Ip6U@{T5Zyw9G*8gz-b0L?YIN(+aH|xceKq@6J*lm|*zOZPo3`P2Hs$|{ zx-+LT((o7(?mN`jr%WkHGlr#J0I9qgKbn4R%-1Mtk~9Kiz`b-t^A}NVw6ew7V`VImty7YfH1xC}V5&78(>BbRiQrH&tf zj|%Rt9pdG~692IXzCaMg00@UCRbA-qcfXL7i#PH}O@yf{@FGvrY!QlKHdyugaqOEt zM&_UBCH0pp)0TWu|4eS;-O#ZZpWCtu)Mz;oOAiT;FwgqErSK=-#3RtEcapCh%hOFB zZ)XL<{?{`Rz=^;20s}W-;?Rv(cT=BIn_Mv#>9#%ff?|;9&=;AnX`WRlDz%i!46D;F zYjMhNy2P(F2E_2&NrApO2J0PV6?{b%m5;135BhwJcV#YM#bjf*O^r(~JoTW) zQO0H?SNS6%`!#RnGSQb#-jEuNYOEzH(*3(9+&c#5)o6>bl|~3DuWeBlZ=}&OZAbRE zN;lHH$jG*h^S?`5@bImwDe-@_lZEo@$(=7kFhkh2zwGmX8%y&#J>aK@fgiw@eb z9($uB+>Es1(;B;L)$1=28G(Io)_@YdM84<``Z@7>Sb+tPt2^-#@CF)?De?ISLP9I@VDD zE&_Nq_zz5pfW8364`dB%9S{Wm09^=v$@e$k3ZtHWxD}O}D1o`S#2Wv>Y3Y9+%=jR% z0p3sJ=*YKp1ZQh9jVv+VvxY3C0n2XF+ww5>~j&$Uz>-{Y6I zvLM8V9F$o~{J(;%B4HUKr>Y-+S9=MwF3=D)CHgk~db7~p<@f>tK}{=(qMojd2xX~* z_(9cKdfv5@IJRing7aSn>FLyrR24BE;TI@ zR3L&9ya9`^ZOvL_u2$N3M*_H2#Lt#UvbTKq z5LyR%K~NneJ5jI14)uD1`kltZ;2HDLb!iyN@X5b!iMDXtiXZ4MpwBKSmU%F8B7$c) zA!g>@U+?|3$p2T6cfj@TsNrjQnTo=f+%6YInDy{?CgK#P(}>K_;d}YlP#TjmOXUW2 z4V<%Hc`_v@G^1CN_q^bIw4>YJ>6>B5922(*VbSBzz_G+rm|ku??C;sxdLwrl{BSOi zQ^Uxfrj<9+WT10lO;_aXfpDSGL_y3&_xtyyV>aA;oqXBYSRs)SBXt&u#gJ=6#IQxS zF^V*6A1LY~%yhn&2Ucl~l=Ntbj)_LL9h<&CSP{dCFNn+1>8apcUaegDGdwID%lo@z zq&;%4&V<>z{zN-dQrOc@-7KbCrX)%HgZ*QZKu<48xe!+J$p3DnUUC-V#hi?V>E$Di zap$`Cj1XuIPq5DFGM6fdM+k&7k35K{40G1iRP#mCTse)A?-C@&Xi%desd_!3>RLh$ zA81xNd$bK>oej@4xQ~E}?s2qiRL6C$V4SUtNA}3e{bmFM+U2W>vSZ{QDhs|bjbdf; zF2p(uj3if%&*_ZkMj^bWMO6Mwzpkw`?m-|Wf!5T{bFEJ2HYOj=$#)b8RCoVNM6%4Z zpx>e7^BkkI+I#zMq#0)vrmPG1?Y#}U{HJB+w|$h7fxNl(6S#eO!?0b=Q_MQ73v-&wKhGmJ{C zfyiIS+~H7;MmMmtHZYH6eEIQQZY*O(BK&&%#N>*FL%S^KJB{@k$QfSUqZrF+Q4YNT z;-|4v+$Zi>r8Oe;3bWN!ogDo9cb*;y0tH9{VL-wx;fP@6IGsfj10YWTR{sDeam_Uz z{nA!G?pja5p~B9f#vGw)F-xas<*uTj*VHYHbYfm~|%?Wn;>x=^-hZ#OCv85pL-#QtwHZ<;#XEwn!eAMPf}Gxl^69 z#-=OOQLw>@ObMu|iIq@=`ixlx>|}UOr1$Gxxu}DfpWx}qToUE+O_#t(qgR%@Zr|mr z2@vSas;}Wn%BIh<4c00~QYzD`{05r%PmB*_?6L2D(qbKWgqqtgeFW~PHL^pG14 z-fqXfFhk7Qy)>{!eED(|)=ESX*rJMCA?HXyQ!xJ@;adswUA_i4c3&s`-1Hf08FS4o zyXRaWyP}AZjiFv=eut)^>#S*wqBDnKDlD?IkHYVK+)1l{v27~{6>YmJ3hYco<6p+N zcg@>B*p0`I%EHY2Y(UU%GShL;*A;74tsZ+V`;RW`=yiM}O$|}xekpawH2oBQZfgr;r7_jeog)_?t3YrAwGo&5_!Xfm~LtTYOW{Mh}^*pB-C^!+^aXnOGdL z_yjApaIz-yK;P&}#{N!Ai*wCqnrnU+GKC}AmBo4~H+8+6hj47@xh817eq|frByve& zH`sGK#L7-Y>wFsUGq|j_HX2Qo4~l)7wj;MCXszUontAIUOSV9_dmHuUOlS~{jQ{)@ zhK^q3zOfHlI{Ej=i5zN*s%pX$OQ|^45;S%IUAhPt$*88sB|dqqQsDGymN=rG$L1q&%nJ)H z4s(Am@cVA;fRT>2hrdm+`L!MIU)RrNy&X-g-^bJj-$E@2H6k*wpUYD?K3kgm=#tRK zHIEW)3{J@Qe$v1K`~|5E;5~`L9YDYZ%vQ_V#(@I}(1@MF>8m59(@{~%&i!x2AxZ)| z{LFQp3mr1(oO=G)b?evdQD!4cMi4 z?5m%38QojPfJ7x zIV_6Tyt59s=*XcM5>yT~vC~qGH($}g}ZIXFeDPk793T54U2rEwbo40=&`X>J@Uq8=$GI^Gv zN!Iy72FYEaMCYdb@v9@dLFoxgNVrrzJc)gTsoUtf5?@dj2rDE@2Cy(_QiarcyJ zX|ipkDt)^sbW0a)#4ItiYi8MB%%kLa8p2e^P*}%2LT?u_>|Fh#(b89g@v-BGj?`Bb z^M-j(v)T{kt3MEXX^ewiRb7XJ+!|#4ggusrZt8#aN?B4;Rfzb4)!qn;%Di z48HS>#?fu{E90cD%%<*S8-HlB%K7*sWqyM#8#jSD?y@7X%6N}tt3FWc;dapIqUeTaXe^0t9jdUueA_@f)XmYysH9sH2LJiNXL>yf(-kf zajX!aSAZ%56JeMg4D0RI-xOA=OI^ofR+D*#ev`x@I|e(P>^)<U+OAB~YDz(w~XP5tJ6l+Fva-aH%5yOs*Ug zI{TncKZ;^tY2Z-6Bh>Qck>3%68F}DAKo&>2_P)YMyzG|ki{T>bUCZYr=fjijHj(-U ziV3>ypNyS6YdM+m=fXENdgE~ExW#%-@AlI?mpY8++}yGdlmVTUi}%Ui#@eSf%d4*{ zkuV!F%T4}2{4d|qmC;6!RISNoIAN9Ejv(e|?~Z^siTeo8F@-o+T$MH~)NNm?>t^C- zJ#WUT>-@U27uDF*fB!aJNDv=7@U8w({>~`U<)7*$V$v;kq#qtFn$QFqyQFrsE0)Kg_6bW-T1rD#Z)ay=TG7t7z$A^(~*5>t1yHt`SR0?h<1C5UV8yL_Gd zJ_H%c{gjDKm?Ag+-2VQcyeHbwG@O0{G<8uy)4|Oqd$GymHtGL&0t!nM@6MKhT_M=#K8L)m%-HqGZF|JV9E^=8)V^=l zKis3jKSzcJheU#}6tcrz=d1X5x~Qcome9+Dk44 z!Z86CZIaK=Duh~XHZKdbwf$z3J+*KOIbBi}MEIBHlJL0ODdXdKb#KGpc-j7A*DorZ zIs}}w{G}FZiAbKX&a%ah2!R#T!onxu{?RQgCW(Ozw)k3%&Qi;Y=wM9t`X)<4(^^G4 z%@)96Z~A)kR?hnK@LA@6B>Ox)(;fX5ZXuyk5W~ z($Xp~**q#Jkbv%TqK*9RGq74EjG(F9g*BSiEmOwx-6fY;V?#Odm0hI1u&!}>L(eX@ z2VP#~CKeQ$!3$UZkO+O`46THkR`L{q9HP+(t{axwL84cCv*d^Dl9M0;OAx_)_Va5k z(UGpk+*AW^brha&cl{km+j}u9?hFWg#~HnK57^oXL@xLbPDoeIv)?J|?enJ3;(hBi znZH8H-_w+LZOA0g2wZ5)SUj?Ggwy}3>*qjCstEad#JzLMW6rc7QJj%gYt(y;3oju} zZ4~V@N^ZajF`9;w44zyqj+`V^M=5C^_w`0Q^z6UW{Bgm{50Ws%yA8b@*wMivW3N_d zqe^#=d=?FGdu&O8-A_#hrTdiU z+eWFpLK2kVFs0K10$Fof8PIJ01>i!*V}m~1@0aRBSh)GPk2$;7fuJ&bYv0`_LLiil zvxT=X{eRr(0KggxCFlE`7>2nc#*15uJT z!w_V3P{{kLUePt)_d_6?lE6+1Dh(fJT?bk(q;wUFZDdtmP#f9L@}@k^9!YmSAGgKI zIcfc;33`QN3G~K!^#`n8(U8JfYr1=t$y>SrucfIJ3M}TP&iYd5Sb>&m#F>Px+r4ra zqMEA#zto=0{hb3K60+!W`BCmJVL`~pFvYYKW}Yr;c@q!~<)^!g*;12JrQz_&hbaOFlMcwmH>syN__)aL2z>3d7?Q(+4Jao)_5Q9 z+rnN;+2!?@O3j}6BD36wJ3@hIy9nd-CH(vbdv@rtzzD^(6#Rtuh>!@!GC4lBwMrqj zrD(t!{{#3=n1n6bDydUK*srj-E5SRZ_PMq}oqKwOHsig2gWJHK=nw-9(hIx$Ex^?8 z`HP3xQDAVeFmi%*XRFLUeCIV1A_6>3#h~-W(p3A|O1t&wv2ihNnw@TPgGO$hQpVfy zk|xPl`1wA!8lSC;v4F*MFf7NcP4gn5JgE=lmpTCrXO-0J_%8s4#p#=l7m!gtATz(1 zGV))K3+hC`hI@|RZyuyEqAEu3&U(5g$ykjZVeN;0-kZWvYqNX4ErA*_w`j&XShu1R zyH}BHTXy3m8BCSfq-MR2r87S>o%@q(L(phuNTC7(^CosUTLN?W#brHTUuWfrMeE4@ zolbbHl?Co`c-TJZjH?vZ)Q-7w2dLcVsIv^)GnkcbtKSJG<8eW(qrwa1C$t$lanjBa z`3KMPh?n~U$?~y$9QQb5{TM@gHI?N&#Gl&n^_2TEq`+L+)YOzH2MGSeGH_w*vDQ=_ z#wckoy|l@NRr{0mgN-}v%D*p{?edzf4*$fuBNc*Wg38hZZV`?KdDf<#efS;JIVqw| z%OiqfrJ@(etJfhIJlQ%raQ*z)O{<#gr+MH{7eLAh8(a3Pa!&J8pL?^5#g8mnB=0m(;8_kI1@h~}4M}-Fu9s~gwgtwdb8c5T*zS&W5k3zBBHs`;A z{E_jZ6@Lp#%fpLm$BGgix;0~r)Cwc9-0v!G@f&m^kP|=gN)?#|g*0i-BkFQ(Gg<^+Er1=h{^#8^! zc%Uy|3><=MOMj=P2!~HcEmd+PIGkjmj5#N6mdMWJj4v~GdnpHb4(IRMS=Q2E!0;YP znWsPVZQJof8&5N|l}IBj{u(USNw~)^V1wJRVJPYM-90=@Um7nyBH7Bs{oW=dzBYsc z6H!x#Xs%pU69kL{0m<5JWeI30@ZOollK8Yx<7VUbL#7_o%_;99)m;>kJV#0aR>_xp zXx+_m_aDrE9QxTJLTGo=3?hQHjrillsf%8gF{$+0MzdIoZ^+!3rOPn)Pd*5@(p9}? z<1>MmN01_cXaGdBg#DTJ;FK`q>0^}SiFB_BPGzaQ80M8AI4Qe!I*M)U&&kg8^Ev1< ztPfDe1Nyf3y0o*i@}L726+;XZ4_NbTyq3U(;_AXXjChno!*-7~4|`8vbL9Q|sF6sV zs|^@)P{yGRcK0Sq`J;(fb*@@XhoYlGuA$JRE+eH}S7iRtVV=g!Ftd7YtmQfJ<~voT zEOMk{AlaSU09;6_9tPO_wL2~9iOds7h!um%q_xr-mAg^i5=9nbqM zUy`mVL@ed`wl-h=ncUU0tFPy8x>n;Sf8eCgQ`0zOU`39LHL(BUL;6{U08+4SI$)c@ zbM>A%yd3~61M9!S>RPLJ@loC0fuBR{DyQS!X7)MPt+BdmYJK3oc_A~&fy{$!16A7} zSZCRKXk>feJe{reo;3qt0x**`SEobsp9%6&r=ucptxJSsKZstn`*}V#RO{pk+osG$yl8%R#Y|e7%_G$L4ui!w>QjoYFxDWezwG|b zt-eT6k6iGoj1~01e*AvL?+l;Hq&`DOpGf$_FTQ>IaZ*66k+;-aJV;?A=a(mC*M-1T zuLH0db~2MlRs%*S-)~GDb_c=++@4ILu#P;QsQOooWyk~PmjaT@5khn1;1Ks3mzS^0 zCw;leeTzjT5{~fv%z4ykOVu^E##fdRQPPByN)J&UlYZxvPQrNbp-Y^81cwD z@q9ydwwTbaOhJ*xS7Gi8D(=HRGfH<*u?;e^-Z!XOTz~7V@`Lz^lL-@d=vO3?oU=|xylwzDsKOU@mIUx?tYbN|eXv%&Z+<<@Z28zu`~xv#cJbqZx99w? z_bOqVJDi%;q=vY;qRGV~Z&Rm7DdfVn_}g7->0$v!c|Ag!w1+Ofr}GKdJl?09HRof- z2MB}C`TKPSYxtjz=<%3#texd^lb}*kGE%eKQ(%dG0Ws1i#dVR>hF(3n{$)}=jCx_^ zNw^d5l81lh3IBz99+?vdA23&(_yh#)*|GjebEB6 zL;V{PK>}6k|Gizdk04{R3Bahuk8SXB=>XFe%gP$iA=V|UgdEV+G>E$qFWTH)e$L1_ z#*^(HbI%JO&#Qnr3fJQaBJwFD@p?lJl2f5L;u(8J^ zoi}f;k5{a=bchx2SzOl3iar*bY#Nb5yD1yppZzr)&lGc5kLW+*6?=nlt3;ZlbH`0hF9x6`Z(Kavsw~^^yIV>Buea+A zYbssB5k(YP#RY7OL|1_%taPME*;Nn|dRux>kfm9O0qG&DxULjYLKB35K!8xPpn#!? zD+C20E=5E@nh*h%K%|S@Ijpz*yFc#p-26;Vl5@^?X6Bvw-gzgeKmTjhS!EMH4@L2h zIlme*GF}F}49V>1D!@pgzMLqJ#5gt&ub8xFFlXeOhP_L>Wq)w%=?G5Btriy_Q<8;7 zB7ItJu5{csbfILI%7llsALs~fQz?se9Zv0K{0LK<&F5-INtk2ojQQEv9)hsCY;L=; zY0-E>9b2Y+In=zA{1H$+;0l0YU^W1cKuB+q!=^B$(-u9c}orT`kG5lH`)v<|3ZI&5$S((4(d2SoJ_SWket%MgC0cv5#l@61PZ zCK=q^4xEzE;^2l_ZC!(A-x*AZ`YQ?W>2)MvuGfThlVvl}9<#(n!Kfsmfzv*sjHh(r|-%B}E-WEP;g2 z?)-4s&*qP1il{;I+h$4;$to8h;N#Q&CuMv^6Isy4t^wscN1rsC=37(WF=K4YWQBy4 zSmmIEZoPoZ_D~fR-9aJVv07!=#M~1o0omJS!;&Ojc17ZfmB82e_ z^PD!K7g3B(pUEB_fa@KPd3bgVp$0=m+g;WUN@6GugMt+~kIVVsR7=NgVdlmYs0C2<1Gmc6+I@mr^K7C@C?S&y=~!2=^NtxmyZ+1sTeSAk3=yf4W!+&v96iu3l;C|0Z_#4)QAzIf)VOYYRSQwCC-qfa zi9|rDb|wfV0WY;CXc}^<;r5JU_~iCq)Br6Y zjLv%S%B5+0slG8E-iScqSvT_Hb&uG<*h3R2)V4=>!=G&7G5hX!1B=vFplHPvy|Hnb zWKO10VrQ=<7>)IX{HZFFp72|QYQv5{?`IbOo%SbZegk=HwprypFZ3d4*O7b1m}{MX;04@Shb@~`n3&AM|>~Y zvZUy|$xrKTYIzU5qgc>v4|%XA-sYz3HHGGe!+@fu%D)xpl6D*Y!ImbSVfCXm5Yup7 z+KzI&x?CPMD@3hX2v+|5GkC8KE1Hi4IJgPj(ygj}6R zfQ+6s_nxavHarqNV*1EZ)KSksD#1-(l_&2s2|$~PtG9^ z0*u0&Cl$`rx-Y2?Pr>|h{KH8$C&Jr3Wi;nUNaOqzI;W(Stw3-EakNO@Lywe!4nd%^ z+;BdBzQGogHvusPBrdk8`b66|KM(16lN;FethM!%Tw9$|N>uIhFJ^iqMOIGT6<7t4 z>$_3mvZa;0p7i0!A>=~hg{Glc;jpzsX%qi-3LTAF#1-pHxa^9|R8E2U2m4x|k|(T( zY-gJm_%TA}5=BmFtQ9MFw3*)a_$Fc&P!JD$ySjB_lq#OPw!YE`L74Cp0qsZ3ZYtd5 z9mZD0;9vLeVVBIS=M{8~DoY)Mh^tT?cHpf^amD-9g2M=H30k@0_!^M3qiY`m2+c#FOqPpH=(J z95m@ziQ)C_@wlMBwu8!gGPd@ZEH*S?|FtxGpkAUu^8^1&3QAYx^!6d84Z)LRyk->T za#i+TG8V$6%h^-APqoY`warO%TVHZLNZfrQdZmMvis>e1;r6o)2!R2Xpz<_*J%b_$sw$R2_Pq@1{PFK#C= zVG^ZQVg zAY?@Tk7a3+)Ee&dZwjxjtJDCk4aULx6>>1g$PvfyRGzKAjkk<$e2BT799xu{`^wg_ zy3jUEpH9aoSf6^C)L=Z5Z|z`To-fu-xu+|)@+;ynuRp1ny-aWv0Fs<*{{x%ng4!_XToilO-FA}HaNYy1;H3jb;+(N)?d%h5#i~3w;QoA5OL~&bp zIQ_gEXim4{W?*RFhm*TpgYuW#&m5bOOsd|q6Wgkq)Mj&lBZ;MV_B;^Nm(fgqNqcC~ zVwA*?R%>qa;54OS41q=kXb6H*40__8)%%U1V3sgJDisXOQjIFxJ37l1`6z58|w5U_r+P-**Uq~xM3q_I7$#mi#SWZSLL$xi+3bw$p+S$1>xDq&gqUr z7dP`$%A5|a&-EHt1^2IF-wYLtB$F6UeF~0yZ>TdfpIx7hJE6g5D!frsK>~cs1n{zO zPrTeLlUwe~V`vN@e&R2~iNM40={`g6&L-%g!Jep?#&I1ZZ<6nkE59kb_SiFlu@F;D z%IMjRaM0OXZBbvoq0-q`BId;6D~}p?P&aR1d_A^YpV33=g~Lt0%NK6FT8uFGmAe;sL#gC`_c?YpL9( zI-r1elE0)>03&6c4W|2c&x_JDwzR*;zceAQ#aP|b$V zlGHVs26>^y4Jd;Ebn_5bf}@)X#P-OKJj(V4W-W#7!ss5x>a$-+$nI->jsLrsRcaY| zx-t?OiCN)vhGh~)e2VbaVv#PEMZ5vsT!*z6 ztnG)YM{0VjP|-Eo7a6KjGa-%g9aX80JG#CIy08dby#;BijgRIXQ)>bZ=Cd(Wuq{m~ z5BEW(_DMkXGEb}tvyeASrX7gA^r?KCct#a-B~Y}{Woz9v2J+MGJE<2N3I0TlL6Os& z*RHM)(nwtjO9|#eZ8}k#IxX@-grCFr+Uz0r!r|lTK9EirRNKoGQfkpNJ2|ll_-j6GVGq`1OY7AK_mHP&yhJ^o z8+p54DjOF5nJzVtQh)1(2#0zaSiDbEkIS3REnV<*T_)Qw1;mA&5ta|>t9axth$Jm7 zr6Ugq=WOpBIclxJH`WTS|GgUFul$G~mp;REjp;n)aB%?S?VM*;{C|9&T7(2{(#5tI(i?Z1zSB}!1VBda9ChF^zt^cMj sMr&Qa<)43`@_#&^|LJ1>%a_-b;+w+^{EitIqu_-%GB+$ee)`Hk0G|fr8UO$Q literal 0 HcmV?d00001 diff --git a/outputs/prediction_004.png b/outputs/prediction_004.png new file mode 100644 index 0000000000000000000000000000000000000000..a5b2e6ac13bd8bd2f4fc648edf31505166950395 GIT binary patch literal 134097 zcmcG$c|6qJA2vRckfO*EB9(nhB)dYTY=!JgQOM5N8C0?~S=x|oqL8eUY}wb5ZS4EL zjeRf}hT%D%?(g<{{r-KP*Q;B%Z9eC`m+O69*Ev(f1MRz~PqLqc!CcU$r7oY(c>RcKw+jo~mDD6`TQk?+w_R;AzPNQC7xL;W+iPg69Ay4}+soqqY9?J|3$Ls~>I8`JF%Y*+4dm0rqw zhvGZSOr`(e_`%EOOCtrXRqb0Ix#rc%_9^nH{a)FUAHTCRGi;Uc1KAcO%VIbM+~`Qp zbreYf`^Qr*nLgx<3JuS{Kfqv{GxRtA`#BAdH1Cy!lmGcX4bO3&F8%-gK21c%|NK79 zEp;j8|NUGgE$e?@{|uwn>;L)uWsIHBzaI^~Xo#BL|2!(>;{S_BH}L&gwjj#Qx|hv* z_CCBDDgRCD{nsctq3b&N{$tBc7v6*QNigo>O~vBsS*v#&dpE=bH;{_Bw;vRD1}`(W z{^3U{^!qf_2}H>UySal`n5v@_*IZrpkh6YcGvnSNi<^8SoTomHM`O6?NWq9!(UQkl zMWW`a{95UZ-{CDL5T01Ml8He14yAoZGmoy@yJPskFlz3AGYwR{>3IwHG4FR(ikjae(lSDn3VHf-ivOH~S9l=3(>Y=#Rp;KvJ3~YpJ=RpQBGg>8@fc=9vlpm?S^nKAhM;hh zTOz53v@IP<0pFWGoZXnruDsb~TZX1Hgl#C<4= z$GlASg_xnV`wWzizYgOLlo`~{xp_2Xi;4v0dD7IWh&dx8V?BglfdaMLz@L`)G4OUw zq1C*M%yn*N^zMp<~vQ}(c~+JX>+_E>&~!)xPJDd6;Oyi82RxR`)lRmWozEm z`xh*>e;7W=O!iVKGHF!WUwK8W#3OuW-`#ylHbZRp?e1cfqYNvT9zg|IFydVP#Ltg? z&iy?2KT&$+1J{cEF?>_efW^p-`FzBxgUodJ@ zX0Ere6ZNLfWmGptT`4V&NCVa-V_x7<^oLqy%X#Iln}7Icq7N6M-&gYr8|2j7qP`Gv zqjFJecTPO$`~}QKB-QDk@hUmVE`fwZnfZ9@f<6P&RFm9k=)qZ;DG7p{B_mErfuu#5 ztxi>m>(^gD$~Kr<_!`|*QcYf6xcn?XACl zpUD^TNlBV(mi?nwjp2?c;V9+9-IV2n>#x2o2OaHCVBjePPRGjae#!|Z0D~Ib`|`!a zasQck>!?~{6;W{o#5@b`TsFrt>N67wn`VDWcA5ZX|24>8tZLV)Vo}Sb4%!oF!7l&+ zFc-WVPzQfdlLXXJz{J}`fIpPb*3cl2sk&K@78C?h@NUw^T&wcRMg zBIw2ax{w8+TC73dnV6Uct)ms!b8HpqxXBB5-2j$-n{S9~E!*xlmGu1lgyrS$^*XwZ z&>IyXIj%Rad5<`iT!>QGR1es#=WYV^%uy+QPBqt{9;37)p|BC5)3CKA6)S2QnyI+@ zTxL0^@I->f*)N4ua8Mdvux}PAGg0zlo(JKVqZTSwom`g7IxMI!cs#IePq>cQ_v_2H z==0rcwd8WbE$RgM;XrU#pJPzO*Wv-GE^T+Ye4m2EVL6c=>m42SsZ4d^tiCyLO z7YrU=BN$LcHg8d0AE+z)!`yVas_$Sh1>3JqZOJUezYlG zD^X;U+u>kANLVPk%ju?u15oX4KLN0m%W)ZstF62HHObif>D_yyIHeowNpw6RMgh(h z8%^3`aT;X*N>DZyc-zYp9l{nHZ#pzAHs9MRV11e-<#G+OGm`=AdPOOb78X4DlU!ABMfnJ) zEy?x(+V-P+{K@AO22kEhS(#otqi}2rIomLwzN5VW9?*S{|MY=ur1cKDiqx0CR<U z&rM1J*ly%^D$T(|F1Z6h#0Y%6k=1f^(W8#Nj+Q?uX0HVI?k?A2#a6ob>OOG^G{MTj zA+egF$z!9D)!QJ)=xl|vz5Ne3*xk+wk-hmM%3Lm48&^T-SYG+nqm7s$1E}Fh`jEql z`2}i;NPfEkfXT~Zw~lqk$s7D8Azd6HD8m)BCYYJjEjt-Zd4e>0@x)#29-h5M@xT{7 zI?9TE2TR%cO?Q<^T~(_Agv5!48&w;T3mZtW-!x$Rbrn`-_XB1xbJr$&kDpg4_S?3H zfZwOx!Gg(C?O>;*x)IbI+Lt(CU$oxgUB!e;_O`fM48^+3A?T2Rn)!e_csik^v_FKM zKJDT|*`I3~=W9`Ef#I0gZE8~jOvTac5Epbvovh7Ygb!iTuJIaiy3rjtz8PEc*vm`W z@8GRuM@RIofieiRn(jWn9ItdRgd!VD`Fq&doPcP{ez7tQ z*frPTtj^)nh2bsaEwDQ}i}hmxc>jrI|FyQZQ&9jHUL>VKXl=u{3UKbta(;E-cca(c zgs_aB#mDycCvB75PUMx%vnP4>8yi&x_%0E4&nTbUG)ZLvC>pxC#1^qJ# zD!p+o&N7O_xs(DR+Ic0yXY5w*`8_bhQv8lU)lOdK-cz@q*qm#110kILy_{Fi5VWhx z8L(c9&^rxglJZusy8jv+h2%b%q%K|iy$lhNN$k-9Ru40=Q(Q8Y8phS)Xb5Ig(-dHK z3q!;E$e*%Y&{95K&`y@N5^&OS=^M%(TpY0_C`lb}{@I<-?6=Yfv3N`y&%6znwwpuI(iT00u+PiCxS@MS;#2D8hr; zPy?cd6wa?;gnk$BB3;Y`slVio#x3?_ZE6r#fxpZOqzh`#csZpTH{za;GM#OD4!>}N za1Tq}xd*MZR~C>U6RfP#Glkv(P(>+nxXo5^yeux)1>vy785A(Mb?~I)eCS>V&ZU~X zlWdY3%Xu_TtQvrKFaZ+QF*<7I-cd~+soqY;2L^yOuc0eTMpkEcGnL7UDN0J9t}};A z$vY$R>AHfRQ99`g+r4^v7;a)ICY`kC@%tI9;`Py1j}EuJ0${T&Vantl<<&iZ*Y@iJ zTS;-B>gJA`Lc8msiQ3WDrg=4#0kNQ}h(mdg`)0xWbBue2Y!aPxaS9;J+R24Ri+eCR zT#CQ*QWBGnf`n&4qEqp`3qhdKM|zsDfjfo0vZ>hHGul`zj*tvOcWrp*`@B!5e!WpO zp^P6=C4BWCCucxbm#g`lLXS2h0qNa39q;`kbXW&o(A`~%4^Dc*cGI?cXWgVBJ72XfyG;j^~H_wy13B+NC{N4>k z;%H%yos=#Pk`#&(N0^|4yHL3O{C>la$i&PJ*@Z8!ba4=xe?}uMW~DB?UtC;FNdxS> zItc4aPI{^1Q^y3c$8S3q+?#p8Cn+(*#B58ly@i_?v&GKOIKXhO;EB*2goEil@a>Ik zSk-B|b|OUXy{ibxGJs#A$Gk=W!Q;FAo_yn$q@-k)v{>2f``!)vqBn-sq`oXf`N~ha zl>JehO;mI>g7SAqf=X(P(4d(Ji`#N;Nk#{l8-cMyd1q9@BULf!^OVhIj~`c6ESux& zW@n$S#~+#g9I)`80`%?PYGO*tnlT0OXRFwVfOb3BH8s|^1FpM&V0-z@1`re{x%P#YQ%F&Z8__gMMqk827N_yGZGY8Anhr%GBjHBKY2*h$t zu6eoi-Vk;lQ1;*$83 zvvVF!`3kZYRNFuy_9%B}`w_zIRiGIA4P)YSJu4-m8o=iHcCqr6mje~^*GqS&k$`3f zTq0;pntP8G-3^vx*_3TQL~)P;7)goBZ?F`H@LnK$3cuGaTt&mCu%3GXTtFTBPdI#z z`HVeU#b@e8SX@bjpTb8IK|I8=cPK241P%=Peuz45!#s{E^vgz8tn@3!o>#Fo5of zK8k0aFl5(RU08o8YUvnSsWU@LlKz3s{@apfE?|J*8-|M<-1b*XW?C%|H*Y$`iS*+b z_k-4&T4p1*i)7QP$w*bVQ3}T_AB|!+U^sjmhu|uU_*#W$n?m8ES4nz)xYy2*ZRWUP z_M;^C7QuhZ8y+Be!JJwVEUekRT?Q4yFB8#o$VJQZsMyJ&=b6d6!h?#-#@ISr<^7>5 z>vd-vP>C~BzF2>*L#W5MU+lL@VjIfGx5XTb`V1~F^DnFB9+@)kkIX2W&Jy-|aWqFa z9FtHy#S?-45Pj4cXCQ(4-rC1vGNdqIhs9<)KwnUqPvGGZI7!srsTA^xEzxNpL@^%@ zQgaND*tHQGWr(`>?sK?QoQ($T*Jv~&wTuptmzbEiEI5U`eiH2#)8nCO=GMr(+wKzh zVVIaWagbsAX*^S5PB4o&?)m2^;#e@4jF{4?P!7@#Ua$QIzwK8YR-c_hR3y+=m5`)E z1Msv0!>J}c&LUwb6h-u0?w=Z&IP|ig0EWQ}I9BmSVKQVDZ68h}#qSgjHE{W_oDEn7 zl%n)tvy~V4WDR_E)?9@66uCj-m^XJ67<39C*&Mtl@Me{J^NDU?7wJ2o5m;=KJq_$9 z0JBIC^6$Y*HoRg`3eOKBFJBHXRX)V8MBW$=M;#sDvJe2W6Xm`p%sjaFrG2q50bor! z7?~^GdW;K6@Qzx*7+A>GsVw-eN;R1)m?6cRFTWa;d^##RqL>vQcUdd7>0W`)C)(qRYBQmUK z!3!usM%4k}F!j*HhsYY3kk|8lwU#O^115nr!wGQ}Gyl~h8PHVz9nt93;*pGTODG$F z|Gt8FBm>ocf&smbX<6I$ypN15x1NpK^a%(#O*$EOHw~I`)R{eVt z$3q}*rj)dly#Z_h8i@4y9l8-9R+uGs2_Ux2()X|LO|l`q4}x+nU_0Bg(eiN4(h3r{ zkfM8ubp;FEWHS$&Fcl<+99EAC3|O z@Rh`As0;I|4@t8wn^zC|EXj|S$PklklfX;@tA!^J@SJH#_&_SDR~B*+g)R45Qb}ho zr~UtAJg^a0WN|?B;Gf$9UiTTHrLDbVHe(5e*PkQ@9=>l8*E&aPIw0eNlnWyP1x0-S ztK4-sAmxtrJxmf0n4&|B$Q~UK!V>V1>xRJDf$y#OW3?5xd#hG8H8r=AOLT%rJ&2J- zRwR^f_r19|Z-6=bsYi+oC>azw1wY-V3^HKrQv_oR zy~U%;_l_dwge@1(_gq9h46V#hW0lpyG=Mrr0;FZmsS$`7#26oeg& zO_0qyX{{9iYgyY175!*%G=HP|Jk$li%jzr9feivS>1R*|3~C7rXn>pf&VBOPKw2vF zs!++V{$jG&N@Eo*Ju0c%&fV?JRJ#6PFBakmyFh4<=|ww&iBmsuM4q^tKLV1t0gBkQ z7ERv*QQSh*HLUV5gSow*MPPdzh zg+Zzq@^_H+^zx@ZeE1NbkWgpMy>FD{x0JOD8OK1)Z#!i^5SRoFbFxEjSww-nsDlB1 zSVm^%#y5UNS`?`_bNvV2@L0}3tod1U{S!0m0u~K zjFOqAsURfd8z6v!{PEhlK`>LBT6acVq9LyM7h@pX6Y>xtf|Qjd2o|4XR>laq!6_j5 zGv7XF*8zDTISR}TNOvi{Kh#m!P=jp2-AQWYaLA{Fc;G`37PRBgHBQ$W3ZEH{iEzk; zu|*-I!P;Lr{UsH^%v%SA!K|mJ2aL`JaBlDx>W2ovxzUraFNZ=tGNcLDAwB3b&4db% zh@cg*tm4!`Eb0Aq9zppWjTIJj>ps?pALJjA@^^tw_T~gCw`*SzoD{u9&b7wP0M}9u zB9;&k*8;)o1MTOv3I%ws55%Kc!AOH#ct}S;0UsPWyLDD zy5D7d1MCLdq;+HL@4WfzumI-B47|_p2HAsPF02E|&vdk0hLw&8Bm7Caii7Q5y!&QP^JPFRJrQ_l5PwSRC(2s zBlbQld)Ubuq3xiWECnX&2O@wq&Z^x;@hI_&=*L_>lYdR)QlP*-An*X)*U`}k$F~n@ zLDzsZgAd`aFJ)$(Im_icdsboQJhld$OfZikh+}^a%gSWU{1(%Fx{wwh88zu%AA@`z zw~+riZoAXm-RjF|b-8QN!xfr~0Hmp5(2}7r?oNe)lNG-X$d`_OMK5P(9R|h!??Y*L z?z{yDbtj$zOV+5+Mhkm*KmDbiwk#Epn)^*>KKB2jWn0u{hMY6N6gVa@fwhlCB`ohlFh{ak1Tx9oTX{#BThM2|1H^Hd)(tln2OUHj*Y!2u&*XoJ#nUP8=nNf|fr{G>@_A`IX`RkaowX-ul91j0;sGa%2 zPdvmZVZqyoMnVJ#QvYMSV!>nzGs?&9KB~uHqqLKhFoS6MGd#r)wmySFa!Q%wG0%5} zU~<8&E32^5vo+i-;yJ#O)RTI!D#^8*Ax6_}L_)*Mq>MiMl9S=ATBf-y^YioX2`68x zTuK<;2v91v&HB8>gAqYktRI{q-{p)@jUsuLpROqw#-Q@gSK%ZugG?Tw36dKwWo9)9fEIWLcG zXnU|!Ra766l%7Swiu~iIjV&n#fsHQg#c(s;tc1r}FYe{M!CLO#6F9c(3_nqp?7*Paj z!1!wpV}i z)YL>$=z^_3hs9C&Q2tK;Sap1|BC@k&@TXCX-O`g10XlzUoL^X$d1BEvZU-K{14lIt z@8EnldM$0|XjRglf2aRpj<@U&Wkuzhy{L34GKnz#q<6H3_%4?H=}wIG-x7hj){q8D z<0)OKg1OsghUsTTpr)6mlJ3Vv7{ioduFS!i$9$-QHDG2}ql>p>Ri2_BcS(H= zj2t0)8mc-E0K}I{Z0|kxSjo$)-ueEP|4zd}K|(Efc*E6M7$@E1YF{&d(cjJ=JTFJ8 z|1D-AUYN_Vbu*9KJqp2w$9(D(hJQ2G*i!V~WlkE*VT-7%UAq(bT6awG)f+>lN8>~n zQx@$)QdIgBrekB@YSq8QPI*cymc;E|Jluc0V{lhd#KXidFxNnXHlfi<;%xd}O2LP| z^2fQ!ew9&P<&hAq6qi*G21GH@W`5;GVZS~QcpCT+DuIw@3ZG5VK*7QBvD^Iilu7a( z3As=f*-qcy>bFJ=gKq_J*Ti+@zLOImDWK;H9(VPsU1LJ6*m^1Z-I)Cn)fV&Rdicd2 zovTH~)@!}DNY*c|6}Q*XCB15}3gJw)I4+ILVbymEDl$18)k8EDVbMccyItsqBF26i z1Whft9Y@H*fqMmM7WrTM>{Gk!zJ-|J)yLzv4R~Ye?<}0RmZ;VjN;ML(8v6O{yS|VS z+N$wpo)cKRmHrCdB&y3&3UR#VGtAk1D;ye9Xnh}%;OJCSe$O*ozE-VPwRE@8yBMp_ zwSrTr%Y{38a!D1+EZB?t;7!X);9mfRAKNd;Jv}`T34;h|mVSYK zpU~gI>iAxS+VxT}D^b>kzUC-w?Ij~rFK6B=={OpTB=ELnE>Kn?xf+k_da>`oUu=59 zt}Wa8)k+roFrpH9ef$OlT?)$87iW5aiE*)~k5Gq>nR!Z#$+ z`(0e?GfgcmU@cpLivVEt;Bw5P_pvUR!m1buhngC%!SXLmRPOM;*3WSi)Oo9iv+s$(?0DO2R>Bv)BP;BU5|izQvB!7x4w4W z1R!GeV_vg}>IZvdC}$RerYv>o=CZ2WCQ5>-PBQ zk8fa;>=FHB7;J0tZ$a=ti)Ol#AjS-aN+@RpUva}|h7ws`qmy9e*o;oNtto;|TJP~X^YR`-Q{YXR9yK%kr|x1|W#G2P{x&ybUO*yR_GJ1Hp^VS!wSAPkso8R` zntGKECo5LI#5zr=(^RLg`t5^NWAO&`LW@6-mvY**e>9dJ5zYMZd4YENUpKut+ zyIpCavy@J6a>7dQSykN?Z2r`3r!OTHuVkaN9PR!!q@I@+8&%IGe-@5WJ`@mDz*pI9HuvbnJkfgdW><3|IYmN1t)-d)u5Vjd2t z4(GRDz}IQeSHg$h{tasFb*(}()VSw7l^&ml>zsq45_y8jp@f^9lr=8<`SwbMk=*ZU zv0uuwY;EqTp)_TPRYmblCU=INL_<^_-ri3%Fce@hKRoRP z_m}%~RRI8aKmY7Q-Pf)iXHMK}U*k^-ZTLEPovbFH9TpuKNo*X= zB`4(_`iLaU@jbTrM0YhVQ&zVU_L;ZfSh$?7>cIYB+cswc9ZRrp8vs%ukio62PxpC? zgenj`kFP(tF(-96sBn5(fNOS->(05ckGOkaAx0wZu#+#y^2c`RU=ID&K{PeKTNV&T z)pg<`w4$jZG71aLlM~Hfiaa1a>fL+Rag*g<;c;aq-_k3=%3;`cd+}w`t%x#B znopfU?ogH`WJn4UN}vj*6SZI)q=Y-_owTCIpKdWd{uz>TYb@1RqUm_*lh=YQDurqp z56VRzgm$m1*4YZ=4%4CLj}ZH`$OLqZz|o&%gN*`nyjqvFS$Ilj!_jeQNo0b z1Kp~d^|AEn$g1?4#!Du-2GeS}efIH*i6d8%GGDz(m++Rft`6IodmZFlm@*ZJhV;6r z+}^ghwJ=N^=87c|mthB-=9s_YL5&8H!p42sErH}=&y-!-|CB}pBVF{qPnGa-u4(&HjyIiu+thR7`wN+z z8qMiT_{yTQ_lrv4gAZFe`hhhChU}aAXnuXGnxx!uUWc{r&!5kOAqJgJ0Qvx__-?Gs zr0<2TvNe7`f9k8sm-|_jsZ)1Usx_eMR4}}gS~gGk(xW3|r7~@*yz$fW&E`e&vod4qJz2hBoAg}Fe0|8k z;Iy7ZiGx7^+MikIM$DXm4NosJJ5?eyu$X9}7PWoBFZ4hfP(C_?l%(u`-RD+yAwH|JQ9l1jOw@?5HG2LAZl#yYVAadYFXR%gz3 zdw~};GpFkIC$Ciy8xQ6-9}PSufWJiBo!UDPUl83^$}6U zdXR#RMhrbM#lwOYcn}!g5Vk0gFhz<0)|wg2g|}xoB4lAj+om=rYB*pA_&d>dJ=RIQ z@4)@QGoNJ|Si+Tbwrs0V{4BFl+YOw_YU_siIjC>zhjwp}=*C;CP7$5zzOi;u;ABq1e)!%ecW##InN@xO1&r)cf*kOe! z(BAA>#luSJ$D|aX;M3d$%liNfk<5&Y-;qyc&ZvrY#K7M-3Y#t_m8@vDFJU=fnZe(W zT)%79{Csg_h5yRwOYxz{MJK%9iezR^up(voo?@)dtC{W0Sh~* zr4p>4oeJnXRjdO0h9tWSe(YH$snZ#>*%yR6W?QdP*s;NwF3FablOlqq z)QX2(#20(4GhoSpwigbqxTT2g1i^fiPAm#*G|(q=z`d50r9s3S>i$r~pIkvvx?T*v zd<+9j34+xLUJ&wd-o~paerHP8*-Nm+1?oldj$U;-uIgU3R`KW&Yxt!3ZX=F>v~85I19Rp<1Je+q(ro@1!^5ZCE1mRm!7J2Tywppqtz{K8jd+ov$Mv2WD&LQYch70`d+ z=FEx%(8~bCYY1oI>!BUE#$Tn8cfO*-yH4^*-<_3WPE)=BbD(HD5k=+?{(yeMJJwEx z;1LdCI|&H?f(Fnc)v(AF~@-6B<4XWfGpqpiBQ zqA98|qXVAQYkWdGOj@chZIxfVk2W4ng;RTWH6^_fksFrfF??>`gWP6y7iQR0fKPzSI&O(SYX%*qnWlO}24moGG|gCk%w>6Liy$$&>Ux=W$e)x@ zkcGAOS1Ux{DsldNbY5s{o*7Cc? z4^Foyv(oP&a#oEvQa2jSeo4gTL^tBCNoDMnMqC=+#55s!O|l!D&7V381&3eVSE^jT zKHHX@n5bGfq{;HuUOExn<=5N00-yvG<$tUg98NGh|Pf_ zMCi?tc(C`y6>amA&Ci8E20qJ##Ir^pGh!M%x&Xu9aWU^rZyHR_I2cDhm2eZE*G!C- zFBo$shP(64wzs#ZAJ=2y^yT>y=oY5iZnkx$bNqRI98Pg-hmtfP##>iW!rWfQ~ zEz4#gwaP!)bbJILqLOG{j4<;}cl_S?>!i~09!{~f zawF`U6CwwFJ7RZyJvRDtPw9{&A2Av87^%1saCN+oJ<(ygwR;Ot2lmK2(|6|NeykW2 z#k15$$lbq^a*`+XwzeL)2zDMue6qfEP!2ob4R&A=O`Gbp1(ypRfNV6V8za|n;ZKg( zUBv#P{^^Jyk#nKPdtL{w|8dXw$rRI*PL|N_Dwz>UI=1*aMulFte7r%}xfS_EX}b*N z!_LHAm`B@wJNEHXKAzvh|J~K%(~YZ*dPhoE-fa5rjNca@oVMgkpuf~XC_K+NE6Sy9 z&XB$hw%Y5hzQQ1y(>PraQ3$Nl=hY7czNO>?gO+jCX&FzplGXbs-0>E6p z?O*fvJ9AT^Gl%f@S4Mmq%JT%@X$u$w_G^CQ(<|4t_Guk<2p6?ATR8+ zuYxwxES^`GV;&@Li@XJIssJ+YBU5Me=dmBg+O>g~Y}?$}FZ~ku#Oi3RJ)T3Th*=oR z8&7W`hlSL~6iQu@@k93_^F-48N<{Ea_U|FM4#^Nxh#L9dA-o$vtCb1YpRj=L_v5{VA080L8i+%#zJb0kZr5qR`+KwjF{R zM~yPY?(n5XNw3T-*05lU+76Vh&r~kTZi%Wf9@&jqdR_ehao^vK+!GVOI6{chT^lG_ z#o)$L$>C+%WVb+W#tejfDw`^LQ${uI`9k1`lDN%gAd?irPjP^}<@^Y*_KYYAw)YneKp&j zeCEABB7q`ZU^L&ewM0o>2_cNSCQ58{TXMUvkbcsj4b`QfZbF*pjF#kQFKz6L@FDv! zHkUFZBdiHgrpnGi`Q$pQ;)!_-X9l1~yg8)3!ni)e?PIyDE!4Ntvj3Hk=RFkb)E;`v zC+2Kn=WV09vc zIP+Px%1)1SyZ8DTUd0ovTNt&$8QSowG`Kw{#3gQDxc_17OQ5sr^CKQs!3kCFpoPyT zX`6Qn^XnZ5R>()61x$d+D0r}AUo!GXc7D3(ch;eq@_Y_X`|o(*l7-3V2Ays}EMqOp z1A~C1k0-M-=^HIWoFu=5hCGk@_cQcau@W4K7Fjma(+*J)NQOun6_NtRK9ERu}Erlu=1Kp zb_=0$<5)85rFQh6eJ9H-{UtZIO&O!oLSo=3i?w5t!U@Y6$txWujyr|k38AC)qxpSI zMP!9Lfi^0616Jt4%l#v}zGf^)R+O)^ilvnDSK|87R5t7_C-uDD8;+(**3SkvLR90~8v9HM(x5lQ)*M4H+lQYk{WTY`HAMlsYMOWve(N7~X_+sY? zdnqPAUMaNxU22mMEG$wUN{fofy<&?a6HTBT{YYip)Xb{Xvh({Z-cGSK>~#aDok~Uk zk%V|KU8g-Nf$$65F!g*WdxB*ayo(Z)#q`a&;mrT={Gw@Jbsxgw1bM!zoSSTQPnzFC z9a+Y78Xq+)k(k&s&p+F=wPxVJ-y3IHA^0(ci=!k`e3tW>VTR?~H_5+Xj9r}#+Fo15 z0R7k_djk?)^`$U7x6Wg*P7B7{by>++;AyRBU75g(tU2p@Jk`HS`$?0sWeTdf^#FqTS|skrUQ zb5o1G(Q?YdqzVhRw~;TXq^l?2p%Ndo6r;*>{5!0F?xD#mZNI!!RLX<64%iN`0a4p? zhTn*D)Vu8BH9wmjH%2_Gj^9>)T0Ap;p2MW#jd?=q@NYD6G)i1_5<6A4b4;kD9=}&A zn{KRLgy7p0RuOf5K;R9C-Xy&P8yf!Gz2U63Aa0K5R(-N_{ z94Q=B?GYg-1`ecfSw*&aw}IuxasA5uJ@zkwZ$$!zV$I(e!xfu38Qhb-bNo_!=Icx9 z^K*=H8OHsdd>q*()@3#)zUo(Va_+I(u1lkB98Yx=hYR|bh?GAxKG-6#{E%+g0;yIGGOw?MeJ;zH0{dzRp3?&uU z3Y-ew4tecHX$fRwT?||EK!TC2r;c^jh{eJ7vGW)XcLR40<703G6xu0CV`FRc zeOw^=4^~5ckj@EVI?9)cgUefpZ1GYZjJnGC+XVpgIk_YB{pr9QrIf+aA@tH%5s%^W zMN5(0z@JHZ);Gx)7pF=_}BkEK~^B|CiBoK~)Q@R3!(*yC5DkEV>ITRZ9cM$AZyJ6kAc zN}z=*E;K30LUYUWj4$G3965vy4Sp9_AY8<@JDE^eSGTdW%_M4cv^n#S*eACmx)zusjyQ^P&rxVWAM2 z>xZ4$N&8-Azq~Csyy~T^QH<*8l@}FN;<_9Ac!e0Y6h-o9W)iX9a9!0e_YS~r?kU*V z*yv9GYPU|;z1QyD_GC5rca?Nr`*ZcDIR6>o3%_GcegEJ0T!*K3fFUD(^K}#^q&r6P zdTXwnz*moNO)WI*O4X6+A1KvDg`QrzBLBb%#d=Na=`Xlw-xv#vy%f7($=Ajiy|v0S zEW@F?{d>0B12!-Eh6~_M3J2F}CHU4qv)Nt}6c2ASwKyltrybffk57$kuV#?d6}4e0 z-3wres+5=Bk+&i=9<%?hGj38wo%eZJZ^7Ex5UyNelAE$8K{1?HXd7wX4os8CJD1B0 zMJ7qO`~SfUE5X9YnSyk8R$`x4%!oD=SlL#4%sfak#*;l?6{9}wI3f27e40A`Mp)*V zL|fA5ir{nQv>NG*_tP0$=C1wd69R8X7W#BDp`FjZ$Yh%4*RG1n57v94RYOBVlcVUb zS3kbTW1Q1zHAS9f3S-YB)A`;ceC=&`h*x+PCWzr;8dJ^d5A><+OZv3ZJX@@);+ms) z)E095E(gj*66k4A|D4}Ne!$z!m<)#Yzd9C>7_$ji7~L%9rKv=%RIir+IVm~QD=K{%ybTq+ zGwA7*fW`!_YOrx=(c^(w98-xUaPDQz$fFpmQ)SkOTz!k)h(&yapbkWFIFi!B}Bq3{%bn}svh1lus>XIcz)|xZjb@uR6taje`32$ z%L{vzl89w9(^!0BB@yYc=Wnkf9hVp`s}ISUf6z7d67o_4snJaZM?$IM$%jwW@&gf) zJTDwO9V(ld-4jT;`R4Y7K1b;f1d;aP?krJW)NMVchpX|8;7u+M1kN$CKDK+u!yRXN zu|-W{Bq8QJV|}ij)@}Ec`_Zp>xjqiz)v!eI2$?t@N`Mf-rr91 zZHwe!)TuOD+9$3(OH_WWs->^}$(A)oQU0*(CvnBzrYi}b6_Mc;Ei#^CtNPy-$wFW3 z>dl;!OfqmfC1fy!{mSy#N=!HJ!g-C{9Tmga@66>&vy4wG2HUbWW9zW=x0p0r=dOWw zqyA)ofxD56?}~uw8l}h7Z&X0ldD-VD4F}^x>lxzATtY_GS|*B8S^41L)Qnk&Rcf98 zN`**jRnOvY+n?sdhpww<<&{E(TuZ9p4LuHx?inv8+$ABZ)t5Tg0H1^kG`sS z|65j5_|tt|2IhrvVEVlmIrnUF7)a7A|D~}AX}ricbZ}GJ^X5kj*3wqUJA1a5rEsZz zxI(q%z>qb;3FMQMuQ}qBR>W(qT`QRSX&GeN{N__uyK0=E{zU(D@s72)#lfFA8XCme z0yayp|EyBQ(Gensw|dohSelJGpHK*1*}5uHbxOEl%R%1jwB_>a5u>*OqCoqw+LW!U zWDTUUl|_B)W4+GP&T_PYgfSy;gX4S1%03n^`g4}`G5{XHCxQD8lP={P8neHCPu45Q zWsfa?yu;aurO|g>^`)OcQQ*1h(E{wBtK`u6X5~Z)+iPdMoSGW2IfuSgvVqRX)~f|Z z_So}uRZ8YTN^t1%(?1JF3xZony=HIBh%pYPerMYt>84KinVK}!wuSo>1*E}&;V-9` zjsjyTCF5=_i{k-W>Qc`Dq#0IW15YjA;rbRWBB98)8QO9-gmZA^%-rVLz$#KCD!IxF zo1(J?Vj+Ild-saPsA7V9#Etj>Q|DSMT%>)e7?>xmdfjXh>KyNSF=><-hJ!tNs0 zCGD*`U4c)-$c#hIwbtWZ@mJ+?24_bK{Jyr^Fab>f&fdUBa0u5LE2?3jc_Z_2Gupn+ z7MygKk2Qgl!Vfz@Lx6&~6gYB!rTEMvFum8x8f~*Clq`-ojVAcgLL2JN5Zo?@rF@97 zleOOv?-f(FPGviBR(+M!sdU)=a(_$g@yO<$S$!-kFWq)6FWdk8(e;S0ru2i z+Yf29lkPa-oz{S(<0$=5=o7R&laI9O`EAbEg;y2e?EUuFLAms1gWEk|t>7b|u~9t_ zDqFQP%L~qAMvb^JnGU(N5E^GV8(uHbrdRLp+^PNIbb2PFgE95Axcz2f4KI^pb>)F% zd!00j$vpx-tQ7oBD(rt2ZBx6rM?Rht^S$L|X6|H%=h>mfW~9bm-$Y>u#^|Jnz)oPD zspeMO4<_1+bMHCzFD6I(u>WqtSmQz4T{3b1UB&vtcxB#KIIcA!vA4Up{kG#JkxU#R z7Kg+|Cdcq}^@f-!r`*Ch4xT%_WtQ@a6Z<<4^+3KEenyDuta}gvpX4%OiKPdg6Z^h- zt9$By|IHqe>vw*i`N(g;(YCYf>t>1>u$?25xMp>(b7-%YNPmS0)>V z9Hu?~de}FMOm1iC-ye1X1d$@~wSuxGAne|f?0Hh)u<< zm)|Wt{$SISaj$z~BoiAQ{P(E7l`^oH&x!o!9}#MpZ)#?Fd91GJf;G;Erzw+?;9GGu zCOtq0+^+!_wJh?9GKQ*%j=SHs=x;|&&>?uJdFkqS-bE)z{~w~>JDln_{vS7!j#Si9 zX1qn?R6SK8HHpXvK^Fh?33)h;@F#my_yRNSO zQkU23b>GkX`FyN9qi-`&v3$~R@|@+irGhP`IeKv0#v{_;woZ+*ZhAb)iW>3vvDG`F zysxzQoQQmZ3CyGjRCrj=zH63C|wl0<@^bhOH6$k)VzB5*Tc7vEhbAWp} z=}M;BD69Yfa+!wqVR|A_jApz9tAR5Avq4YQA5cZyXl`GzG24?=zMr`3SokE*W5l6Mo3FUa$~hWzU0e4iCt*+e zCbnhf{ALN^&z%{>!o4#PXQPB2xuFVjIJbI~BK~*rFPD{1C6@a2I+)8V(i0^$;$lS^ z2LS90`Q1hvbtWicjij7F%O-=ZvEK4%_*qYntn&C0_P>YVkOD>22@-)cB%l@+H~x&B zl6s&YiTUxukbZ*m9hj?uK?9gEfo=n^n-qHRJ2aKtZNG31GVHKd&aUFAC zQ>gF^=&TiqRl&ktRY&~WLA1UJQ>mrE-9hk4jsPqa;n&w3;Gy4CCj3J7QxJQ=UL9H6QB9@nX`~ zZ_9P89Co=sg77ve=#?@_?D7ODNMY->88iYpHrk6~1pl$w6!{Ha#W9Iyx;ede)-zV} z9dE*S#%O`DVH!n&o&Ek%b+skIr-#R;7+N3ixd^|cy^fjv(6*sW@->uM< zVq{CbgzM|O81!TIN4no1DFBe8)M86yhtAsORVB~Hg{UEuMjSQ-st=ko6{59b*f_{| z*bvB7>GK9JG^X(nIvTZRvGxZwV`69I&sAjRItrMF&MydWtYZ(vQFr+VP&_WBZIMg< zFdB`1d|t8=Ln50x2FGyg%Df6{p%j zJxJ3r5RJIb+w|UAUZXc6V(szS*KgfwyI6Sc(MIn)6H0h;{UYUf1x+`faZWGD6H%@i z*GS1R@!Y;OLP|%>>oKiNSoOelpNl$*JxNKGVzq zWL12+GbJabWR+gQC2aiL%H281B;GJ5m=JP)GgCEVNI5l|E6D?@qG(~%dX|HgY{9JI zhyRtlJ_`A)OOfmX5ixxc;ebvoJWwFK)GzTt4a{72&&ej@wf<_<+k>48z9d#bWw?0>%{SAvk zTm_%UMn2O%e~q_>m5r}(zt7=6{t3}!b+BN8GB|FQf=$25ZEi6{CYH2bF>GjKWmzg| zYBLA;aZAcq%#imO=Au6pO@r~BQiLECAJoG0{Ce?Qc`{J*~1LJQh#-~KDotDyPMmLl#D zp|7}_m^jOoBmCq;hzVQ|qjFhQ^IUW6oB)?nB!`%&+`vOMtEf~CR$E14NV8V@Oc%kr z3VOh)F-y2Kg^)!uj=nM!h_gjlE3O&Ja`XND%C&R&1RX9NMxO885Vj$A?{9lAQx_SL^cR=IG>SYfTgKk%H->iZ8IGI>&3uz+Dwm`eW zg6FA`AKn~s9UBvj34Q=K?eGK&4=hNPw@h`Gi8$JJ80?uG>d)|rjwdC6ZJc`+5 zQh7y!$m9ND4{Znx71rGP!vW(Jw|~FuqByUHEbQ2VrM##eo|z#n#(;M!o)7q90KYd~ z{3=#BKk*`qp<#ipdt_>kz*fi`CFtu)*}N)&uB>*Khij9ALc2oBaG2k_xZb{irRp*^ z7EZ<0u=cZwjX!|oA4GiRlGz;xQ>tnoV-c#iKAvfxbDvquA6y1x5LIk=arqGIB*df4 z0EnX6nMZ+x>fsk^s)%i%Vb3zEoks$10g#S2fTL(>R}vg&+S%rp4;iB~JPymm!*x6p z#R%J^i!~EzjP+ObBEf(}5s3cJAg|XR*<_zIXTfm_{=Ow8$seXVWiH>RJ?0a#_j_rt z4z7_*v|n1WV2b!q$3+^3$IkV3A4qE`;#t1yz1U$^jqakG1>$b7dX84;b>L?1Oz{e? z%sQ-he5M68B5W}O#moD?@V%B6mLyk=S@GaOB^U0n^qSxI#xxr^_YSz9s&V$wJK`8* z;vBPDlw_CFagD#e zYbsYPJE`?MTmmf`FkpfcBNu3%CpHp0uNZ(GQlJawJC>jQV_E-Hby&fu$(Hwc0>=Mf zi$66Ta4fHVGZIFBVEm^0*K*kOvEJ=?z6!3SphsClZSH<6PlqFtPJo>7i`e zikUj`QetAdCub0%ZCX?fexD+nOZ4z>$7(HxWt0|R zPcmC%yL!gBchQptm*MO)=L_Xq#WKE+|J6Nv&nufTu>9(~3*Xh*IZC4glR4 z#}~$I0B-a1AGKZV+?yTN;oUF20m}G{mNcN zf-C#@YuNbPP*Y)9{%kk0j;Tw~0}Z&6`}fLph{o(W#`cvh5qaS^Y(?G=NU?hDbEg!T zpF4()XQAW;kqM!XXVjX1G^0Br8jF^XY;T_neURJuh;eSrbee!(5XfqpqONjg<<**6Zacko|!4G>Y#hy zNU)Bn#op`biFR|SjCd{P0`D8f>!yp|dX}1+Z}P)h_=9mg>}e>}r^GEZC2Rh^^%DTh ze$malW{G(auV=NpNScS0k%4L>*JsK2=iZTCIuh>Ou}#rK8Z1N*np@iW3ZmMYdMRp7 z^If!VNYjzLapElBP6(w2Ix1Rj|Eh)G{t0}G|NDHyOY&1+b%IjY=`;|G`>Q~L`VNQ_ zC>}NbfnwF3qWo?eYu&>DJJVJ&RQ1XHtnh{KQR~gP(N=ehq|2@LBp8dkA57>VB(wJV zLdYE;mZ#TFbA+ni&W@cTm>OjVg{VPM`ghJoSVP15S?8LwYEQGXOe=T*lWUA2Y@o0! zxXQ`r=gnKGW`iR$I{MM=A!oiE4=2ayA>N__Ml&Xde@i#f4gbcnP?m@`?YF)fIOR8Y zLOfk+Fi)T%js3o);X08=^v*@34FQqtYkI(>MGA*qgSY{}Vot(3<5r%`1flmw7q8uV zsZkyneGZ3n#z+@mKp#2t3b4{!x+rOI5r`S=S-jNf*_m`~X{a9Kj|3e4!}x#8 zjVU=ut{O@Gl{u96^fkZD+EP{#PfZ!4Gr{;WGDs2v*=oDKGB+-ny(+9yDX0ep*u5$e zz|>=kC~l6Zhg)h%dTS5H&cBwt8Rllv(j66XtZ!i*e{Z1W)3sQ3-si=LT81d#By4H( zK%Gu`Ay7;zxSuh8;{Wd{O<;z!N93?zhKk4Qcsw=32~t{^kvIO-f5xZVr`Qv~GI*2> z;K|7q&WXGFH+J>q!kThoE3Z60A(CoIz3Cm@+UxG3M>Luy3%d%&Dk7qoxAZzt_<>P$ zFXYF7V9u9q(Ufx6+zn|4RF*HYas*9i9QiAJS$H~ys~onWf8!Kuf%;V0`?D)HV!Ux| zM>8e#1MrIJ^;Ly7hyV7*aB1VecVDM)_!e4%w&o}SA}n8(9t2pS+0R2O)yjKVZtsZ` znvkmFK}zAZSp1Mo+b;UqVEN3KIf0EIrqNP2DU_-_u)EL>@7igAUM|!DNke8!W{kMY z>lQm1_Ggdb(Z@ZDi!}zTGE&_7S|T9zXRpc>${AdV#^VSfH{tG~GxPhUoCPMAEqnS# zMBL(fiB&eYaV<2Z=^k?D_G-PIxU1q6?Ir*d2yDhIxLoH|>)G7FWq`szYL~5f1KM4_ zUj|ob(w>_Zc?n-udJ$Qb7{(iCvQ8rSIc~hNLDm8nARxG(-aIRP3N#&w((8f2&r|88 z=UdhS6Dd0gV_m!&(BOAWJyg%M63|=u<$?mtnnE005a9oOMR?Qxd`{}>xsNoh4*2dx z!RnT&9rtxJktg^X2SjM%?@J!151Yf8rr3lTtzq4Te0bYIn*4 zgr~dFqb79B5jh~;=}N`zKY(}A$;2{dfR-H`mH^C%c+t-HqLsX2$$gESHfc`c%r?58 zze6SEUsYZpvwbQdB%E;;{Gv}5J$2UgIb{|criNT;4bmvmq#^g~)OuCS-g_~@uPNGd zi?)9>f(_<}F_NpK^73OJJfFaiO=0M=f`;UJB~!#VOrK@_BoHcHbLZq$u-}i2$TSHO zoo>%*9=#l}gpDwgb{TDX%=98%8p_%XJ9P`wu-$cI)kvrT@(L!+JhKx)I;&fijidAA zPeKPLwyri9)Bq=w!vYtw_N?3UC^(d|Un0ZsG(b8&5`O4zLr?FaK8iEnpTHx)JK7S z#SJf`Nmm|TjEeZF|7+nY;q0yamN$0mX62gzHUrMc?0LZ*`ZrD5AT~4e_bC(dv#A>i zo|6R02A#5o*XLE!`u%9q4^*dm<~a5OeEp~Yl>~?_f98$fw`_dPMFdv7d13sS?ll>= z(G{p?KG4gSE<;+r?%z)3Rk0KV7;dx`skkbb!mdrkgb`W~nVY*T-$n%R$|sFufDWv7 ze~AFUsG4tD_`3bqjo+901Js{ts$Gvk@E@doy6PyZ$q{u5Sa-lu1N7wMJ98rb$iAe{ z%gv5b>1<8yzoaw+#xRbDWpkq&Gl42W(YuY#`Cgl}A{!(`+*#IQ{_ZFQqTs+hV!2kLwG;qz zmR^=&WmQ|1^pJ3u6s>4mt4j2P#~G}qdV<3PC?V&9qOg?$_G;2|+t}+Z-9uVY>Z}MX zM=yMAHuaOfN7u}E*V0Lu&F#zXeOtAOj=iS1UvvJtMHL6dKLQ+q(gpvEp*;d89RkG2%_%Qa?>(BwrgiB#fCh61K=hKCG+qtK9PzacYIMCdB56 zkFF5ssoxzqmiOl^-WYjYeKC+11SVk<(wv(z2&~}r77r?*s^xCbu#A2{kysboEd??o z9xARgAmZn~mlhZ=KllZ!NRvyOv)akbWpqNO-R8c?!Z;jtg++rD6%%4;(%Nd2v^OJB z)orDcGWQ@}ff(Lw>w?Cg>w01*L{5a6uqt+Kwt0N$nA6IAs{QI72rRHuB$G&HxrgO? zan7LCd|&NqaSuHqkOWXd{+HupdH-|niYf~~krNTm2zY%gWc8CMi5!EMHHDP zkQ}xjbz@)Le3K}ix`T8#_6pAVBE)G3+WiaXNu~{5e$?r{w_XfoHFVTfJyB#)aLPWq z6(mDlO9fI)&O>a$$>haz7`Gwc^ufIOvtFRd)wdD$jg=%drMvIm>y!-Jv#}%&g99TmpYtw!Aja5sS6eDo z!<`I#?Ap=K>I6AQKb!J1-Bb!48#LjZYyMMt%27?EYcT(z~^v-xKRASF%9i4k0@4RlA8Rs>7 zWul-pcUU0qz|$M$N^=#5hsYney=igAk@?goR&lG|)BWWuF4j-pHLF7{)c;xv^5WL$ zdtq*4c)1$aQaS*ggBg@UZh0FRmQSX9i#R4N?UKX8b3OqfQ{4S7w}Iu|zsDEP z&{MqoDadbeXq!feSjWiF3P4Lge6lP> zD&he#3cF~3UBQX_Xz517fii8qq(8RfY5f>w3coBYE`4f$0#aJ~d_oRit_<8zsl5%Al^6v zaMZQXPl>kO+EDcZ<8{8Xj9DlYHg5>hli}BVjqY;ct#;?c`{N+BmDrM!15SWknWSB& z1JamF#fO7(pXp_vjBh|a_4ha)nBT#(;$M$@AlXa3IsCZ2O|K7}e;xh-<8hQgy^547 zyB?1vNbG+i;`5DXQ~xI(q~ze>LIcC`6HtY~gF#~^*BSg5UN?N{m?b#f1udbk-t{dF zZTNRgV%)VeyB25l21$>fK2xms3G?LUqg|k%~ z7~dzU>H3a==ama64^XPMDbS|6zo;%9-uJcE;OPsgE_;=_sV+gt|oMtBau*m!GQdQ zM^#kFRGLM=AnJ7lFr(Sj$li*Xw;|gD6*9z?>(+#C@Z|=4%x>4*zsqDW)?1APs+<&& z%Eq10fS^E$GE%82?4Nkg5E#1YYuCRFr(b|BZ#QP5vxP6*n^)^}w+-!%DO;`(i1xYA zH)5&G2M?VM(SZUOAMuy}EaEgmpx*8Sqb^u<2Z+B*kcgJLK;(P(sIEjkc9t8K*7O#{ zW+^ToZVQ5+Uum5$_L9mZ)hHxk<&w%{cbM>%=4Q<^Ewa zKW;>w?hvbIH4^}<3>ouSX_-x|UG9nLuYmxZa_vKmpZNFm7=U-y zev9!+q$CS?Swtolw|jiL=DRn_4J3OjJ0lUNZsV^ZAHKFj_Ab}u>%XipMyZvE#Hhq>hrPZFodNf@&1ep zLBJ(_dV0~>11{ghY!-~7|BL6I&{UbZ)CtaczWbkoY=3c~t>-V6ee71uya6%Q?f4K< z{QIa&xigZ?>G3gI+i01{w0R7(Es98M2<`LtAdZwapaVXAbJ%8Q$y1z-lqni34+NZ} zwbzS<47AAKq=szMekIdb9LFzrH?zuHAounA$Gf` zzXqxA=l!VsXVAB>-)eQAn#rNQr?W^tS46iqEKAyM&hC8J^D^uu=bqFgI=kW2yS_L7 z6)LvBiet0X*Rx_vWecy>xp%8shW}ePIMyktK_mYX7Mrac3!fW`*n!+M(1l-+M+mUi z_>b!pS}z&DHBl-@o(gWZ@kN?vg#7^{JUj0u@K=tS*e}Q5D66{^3?ti*JTdn z>!}kl!CWyD&g`nq#O=5T3$h_f?L*!H>5#=+eaQMc#no-ZgpY&AFXF^nOhjh9jq8k9 zjR>}M*r*YeR&epY${X=_y%S;3(7QbYkeMTCJ(*SQf6-tW+OcBN8{0a>)=#mQtc%T5bliL1~ijjcWQ# zz&?4_7)OFcB&M`;u|HRPv5nUD5zJd3tWm&HUG@kKEj-J(gX$(thin3sKd@B*8KSgi ze6%a^dctzN7D%zUp3sp?x(9^KEK&u1ug0IRB{=37Fi|El0p^HL(AVQ|!?^afGHj={ zQPH5z9Opio7K#L-)|)1*24os7;h$+CCams0l>YU!u)+LR16wqMEGhe-qUR<}DeD(B zg||PSESDfn@4X#Jv&@%iS94yjJPr(E>>fNeSw*9piPu}AJHe1b^)_pg1D3LdQkCBm zk}^~5>PVbo^LW_OB&Av}^zpF_WUsifN9hTWl3wsmu(vDoh;D}91zHcP!Y?H2B)`@R zM9F$5UsEADDsH<1k7aM7>ZjS=ZL1mAf9`aZa-+4MbSfTc?h$m39cu;krUI}evn9ek zv2#eSdLr8IK*SF^eSi&YIe^fk(gKW)(;T_)#f&%ofraH!%FH~@h`ADFI@O&ToV<66 z+gNxl9Gb8w+F%*T@YInin%heRMBz0(p+eH#k(rlxqvtSI;x~AkefF&&)wu$irT!@B zAAz61#9%u4=kik#M#dQ4=NX#0#6lg9G#ZsAj(YY=&<_=}6q{%8u*OR?R}DMu?bxo9 z6MdL!=c-EToI;S?3C)nJZroeHl+;@7+h@-(HViOJz0fz?nbBL|_RbIzSwpSs)9v9D z$Rkx57v13Op(AE)V*DGUiB89(tH_(z($}$7vQ@`+U_vv>97~AlSn6Zn8{6XC_+?pc z%_fWnnte8TYW{l21hDTE!Ggq+yZ%;UD|HK-T`kL4sOnt4Q(nYFP2lz=BnKDO+H8Be zdGA%y@9&sW*Gw=^1yg2jy~q9>_qiKN0F>3ll1V!?ilaF>su*Yg%F8}?8zhRoa!k4l zd&T@;<{P6dVVv25!TJwKL?y;Up-^#oQcB9FlUJ}n)10}=f~=sHaao;dM`7BZGg~;J z2(CC)p--xe`7IGJnL)((%ofy75P50>g*W?g?c{wwE)Z(-%JN&Z%Yx6=nwn|*Rep!C zDcdld8KJb2qdMNW#3Y}Hhskl6Bvuf4F+b8R^(ag8b#FJV_)70fPpa{_!(<{2_n0K9 zI;(q!-K>6+mcfM9DezqJ?(5lTmD8BMO78pg4XB|ehYM#gjCT^2s~@e87ZQhdNrk5T z+9ze2!tOaY(AOI!exE|bga|+@oG!T|wUS1=o8YEj{*0y03(SpVij{+w{q(~DXbqF1 z+py2TLva1ll9hpzm^0rgPX*%jWPQ4v;llEVNc^Cq9xk)6qNL##}+VDNBg)8d3#f>cssv7EjI2A(_0?I2UIzm4sH$mgS3ipjE zc&3iN3PFOF$svsMtH1yG`Twd*!e>)oPW)W#-Ct#&)TmD!%C&u!Q#RLpZC&DTv!{gm zWVFW-ue?ylF8f z<8-PfN)dtc`+Apm=dSr59sBd#;vqsp4i4)kB9;i({~FEr`ICmFR4H-yZ_a1hhQQYX0cz5xX0-szq|P z{5Ic{ED|j15it={#{r%4>@0`g6W;Imp@&2CPPckXlLsJWubUPv&mjD%zrJyBNuYP8 z0=-r1oIBtJK>P`aB#H=XC$?M68+_aAY^GC&Hj=kjahxorRd48O0nYO- z#-qT%Q__|Fm0$Gz_ee4upX%w#YZ8zXlJ(^e`2cy)4tct=@q?V<_$l!|BK$s^d($wV zW}UifG9hm6_r8C14O^(Ua0bdnny08pojs{n>um3k%xTPdYAJzmT5O?_-`PKG=z#d| zE`v!mJthM8TjuLc#v-PCZ*aVCVVI^uzAT!M>uXCf0AT zJLa~)eCpsa@pk$31WKiXb{o|#-^B)0xGCRdFZXRAhgr*zOwO&KZfO;`9#L43@Y^9( zoG%F7;|5vct7pf`NtOQ@aDtFCsd4(hgMQO{qyVocZO-ea-lG5$^)cr(d%fShhLitO zBZKkug{J8R&7f*G?4os4U+?Ai0uca6LveXh$hwr84>LPtPc{mp$TC1YAiyl<#6RHp?xL?sc#UEGw3MQruB!|{JsSiH;mweFtMVDT7 z3pG`1i>!|uH}d&oZ7jIjr$!7Y6RYn0_)bDy(VoCvAM>C;-_zxbDZ6)my;i-+9jocG zeh2F_&i<)vX2Vque7EsYY>ED(89z1?J4E=keZ(`o0$TpmRHY6Lm2L@3NoF0`C@XrQdZHi!E`=)9MUi_nF~*wc9D z5Tim~3}UDB4dwDx3yBe*sWqBKh)*E=k*RYLXBfUBH_(`L5e8BViSXB zEps4}s~=6Z;Hbpc?oCuaY~E51D&Scl-$kw`2L-rLW!pZSB!H8dRi(45t-JO2D+$>G z>3Ex!2ZCm=ueQ4llZtoz8LEq} zC@3Pe%>wZar5Ae;zfvjloHKn~@nmIRc*JKSYmqVQ%Qh+Ys(oHZvT9!nVAH56v<91p zXG@cD^gRK+61yv`lL1|SK!*p!h~Zf)lDqYd8EzyJ+j2S{1ZVO#O-a|X?AHX+2>EGy zWrSw6FV_tPTp67ZFI4%r2hNeCH%~xnplhAHik7;;MBDX{3YI zuPAyy;HL0-4IZARvkT3cFoth(+$@h3$)8TQk}NIavjE8NgW)lGl1iHLL^%p3EDK${ z#6c@1jBON|hj#J({l*m4!*j0xLYI5HuV8L{bd1|gsfszaJ2MET=1yl)`JoI0#wQ$j z%g3SsKEEqRKG1h7@e_mAdky(MNoq#2KCyi1r8oywAa~g^Q|5sSInP!KZTwb)XQQpm zS6+y3R8B@oQA)kVw8-P}2Oma4jtR`|Kzm~Cs63d~bJNq3+!)>Pl0;kYH?}|;TJWs4 zSSS(YK(4;Lw=pzH9pVHZQ_+vLGbkEl75p3#I$us3D{=1%lv-b8b{kg4H8i#HBkA4! zqT-eS5_=@Cc~qbc?(-yG^af%)Ekqls0&wHF2D@ADlC`X(AE8UZZB465L+#EZoSS^l z!1fpQ(pB!4qC=b_4bQ)+Kz6p^X@v2jkk6aWH=?;ey{(qN(wiOV8)W}V!d-2d$F>lPD&_$p8TId*%E`C`N zy8kR@IeXSssCH(#fzj5*yM7#t73ysU3eH?cBo)i_oga5ACzBHAQ-hJrIqk`2ZLh9C z-k{{Kr|WjEH5dscu$XW2v927G@Mcw1C+e#_6j3eCT zXZDqc&$sVtJcdel-Eh#DjXmA98Z!1#Ob!_nfS^hj>)xIZk*@!J5&cRaF)XE&*DE(2 z9ZTi3o!l{}-EHczpQJO~J)KlEk;~!!&bKEn!~{8;^r4S4dvBuKnn5B4?iq8me{|1g zuw_2Sv`Y`XCk3aeW9OiANB?cq;E=tG@q9oZ6qQbEax~eHmWQLXcB%v^s_#@t9VDhL%Ui&JRcT29Ig>0r>4$_a3R$olxUNHF5IJrBi$ryRp~87?^ekS>x=# zdHKHsn$Qqj;+O70xwDKspH-FM`1!H2!=5-NHxftb15V$xC$ znpf{&d53tj2JO67ndWTge{6EVo@GS(=!l~dlL_RgF}H!WFg(5VmIb|LMxo}XuAQg_|#l%;~$v!uq{dO!&I0NaXGB7ae=M z(OEhq$wDyI%3UOU_NE?vQvnmV{+15I{C@LTcFnQ2#o@C%3FF80Hl}&#_rdFMRBccK zmO!$nDP{{eKvTgL+?kBdCE#57Zb+%>-zQ9_>s5v26Hr>h{dm_E)w7fbF#a#YE+tZ(Eb=;*($aC!>TH8BmCYm(Lk~ev8(34rH}+N z<@ytgS<$!tezsD!04XGl7Q8>(;AVfha%(p}rt-YKCZI7~shXwT{s6cVKN#fH&3`lH zN_!wWfnU=^YK%y9jkkL&hTJXeZ;Mtzehy8^A9(I`$!pZrImxgW@>R@+^{e757dzQ2 z>%Vqhm2*`PJS;5uL|r)YWFW@}Th4y_$DcmLRjlY*+vY||{e{f|UeH<2ZD{gb^vCof za6a`hnD%+nHYd#miQ|^8)bhU3QH;}{>A)wBD9eD{3UhZEYO1ODnM)KEroD; zC%nKdT@nH<-=svMSX@A7%U+V~z$DH2&au@9Aa+yOKCwT&UYfYVJ!GLakQQMnEO=v* z4SE|9ASEJ;R17sr;H?mbhtA=Ck!pihaO=kJOgzuY@c2jd4*`8c9UGu&WTwO{qOIy; z1mZ_tY0SgswwPoE;Ii8?9Z3vwF__6Ht>n;;x?q;0Q27dxsZ~bLPY0Mef~K5CeCX@el9~#` zQ?HF#e+fm%NseFi?{LyDKP53kP+jj>1oaEFyHtnhFBu|ECl=FvMZRmB(VZy1+?a@v z3?L9CcD#z0>!#ruuK%}p^?2cOT zw^og(P*ZiQImZ&tdZ=G#NZXAA-u!^%=g=JIZgp5$)pnt|DN92Imv8#q&E2)m{r2EN=aC0Ai4^#}Wv2K}>$Xds@Jq9Gh1UQ8l6L~ExP^1V6=6F79GX`~5Z4Xj0%9iKud zej`x$u*A%-5inTN$gRIBkSa*2_M+m8bnZzp+zS0o_=;P#PbZd*C1pP`!f55|&dfD* zr+`-T$n3US6QJLK-~(KV_4qc_iYA-U-K38a&H68u5+E%yiw6RBBo?aqaI2pKCbjq9 zMfj(Ta6j%k*JY`qgs%?6%x0i0GHcmx>TlRmOV3}o3Cs4f-;$9y=13Q#VyuFLHVOpQWb zRIXB7Lwj{=q{XrZmx?Iy>?g%nd*V`E?(2DC$SEV8dC|1yg2~2gtmX>1+Ar|=cu2Fu zraO~~(`?_8R(-~{`U}e*G+XG~2v?JfXMg6d$~KQFNwBH|dk@Hyeth0qKIXX<(M`{k zlPxDQ+42wE=pxH!Y_Ejs?;SY`2%p#<5Y}WnfhY1^3}dW=ZH@ScrCFYgZ5kPJuG}pc zT$b5xR=5G*Xd=H+nz&5nSF62>f^ zzh>43&UxN5+N-txqWt3<*leo_25ZfQTB$APF(M1FpExObY~o+zZ~@;C2jmEvUby~S zbVLx!AND3`swuC@BVC$7;HwXB54ttd6c~ac`cpvsEnrY`KMw1wiBiL#R>aY}a?|1~ z%ANto6EdGCP%hxnDQFmgD_p{s-?enlT~;&0) z#;8JW!?cLO#<+d*wIMap_1+26gKO&Ar@`a};xsr}X%#IDRFuvbH~wOQe9pK;z>faG*(hX} zbvXOx@DqE1gjYz0RlmS_y?r}V@7s?c9$2N9{g=?LkQb;vu3xwYLg; z@6RC|0elGC_R&$&>pS2wlrl|Fh8-?s{hx~CKOJ1u9cKg+JB;QBN@J3wrhg+qKpCvg=20o!TM;UPpyw8)fBUuOHYMeGS| zJI@+c+A@zn7a;$0HF1`bG7f|iz%U637)J2^Ot*}u1Y}uw%!0$3TffJ6e6Nbo64IM@ zZmIft;bg_2b@llzkMZj7npIzGRQ_Fd*3|OX?Kw644U=@;S2qRF$fuTkvZgTq$zEgNf85A2$1D#$ekM(Wc}oGp?FA!>4Jx53+MaV-Auby zH+J@f7@35QtT+D9?0}VwY7EAQ3E@OO5Po;JW1Q>lEo9n>OvhYx79)uF(YpB&v;sPF zqIwsJZj=dxgO${A?|c7(Un_OJL?-E`XicU)3>*>EvIj^r8(%u|pY*;XBQN?9aTJPf zl>!GTG=(1}peC1ty^c8Ul(~F)cn|q7Db00<)wgyCXWzs7BwS}a;IVX0wMYHL;$@a* z2@}K9Z5zK>;Z{u$DIeZw$7ew3_%yQC?!&6>kUcy5Imk;?VeP_Yc1yeZh#Y8MgeADD z;MsOuh@2{pP++>yisx`G6Q7V@n%(ednenRMJoMvA zjzP^{*^!WQL`Jf$luY($O+q4oC-}`}dhvC7|7~mIpYE&Io7#O|^v?!)9M>+3I7eO` zFY2R;CW{rHyc{Qj$vt)wR%=Xo#Bf;JVaFO<8G<-@NL#py@~O=dcJJwfpvv*#j5#m| z-=BRIxK#u8DzA70KiClUg8mA_(A3i3<$d;1*H^h!I+imDj5hNVJD5*Y)_K{ZySxBQ zcxF0sRU{C_>|dX8fZ23+5-S3^Fd)9jEiFlff|6w*_)|iRvNL>BGll}j8pB_Zwfik` z7QgPnFSpEb3_W0fYaZ(}9RS-u^v%$pJ-Rbz^(7z$ zeE3&|=^TN~aF=FgW$34_8|+CZiTf>^1|y<5re2a<;HSSH=OQ$3hsg0W*+hH>fiNAS z?Kle;9O{*wS_2^a3yL%zoR?fzBQhb>> zM&x06OF4t0eqEMrGxfQ%@x_+*WIf`3p2W#z0ox!sIfkLR=rxi%t#@aX;e4P5_==}7 zn?6g;4Lsz`nklQoFZio1nc>+DW@x355lfuyb?h)iC!T$6JVihtNw0nPu{!5p$rRKB zKbNo&9mA_(L_?XUqwDm7tm<9;`Y>b;_UX+BY-hG;@|&FqAY>?Rqn&wNej|%M-`S(y zpl1Ginciv=2>r7uz4Edy6t%Y_)lJw$3XetU|H|!(0g_1lP^jO`ekJM_@zRnU8bvHm zml$(R!+vYWKm4}x%2lGUWg8U;rUX}wi3A`WCA}E>W~O<)~_(?qVFbPHgNP-leW!3%z5h@F{dW% zN^kfG|BNZxR<=9qUM0Z^?#o_*i4h@Y}tvqU2 zbRCT?+3U!m@$l&+1+w)z2Fa1-%m6cxy7nhf``=f&u;}TS$nERnb?fJk1Yoy(EkVCZ zK)uSH4&m2mBwSj=nl=9799;S9T$NJzXT6yZ8BubpKY{MfkedO}glB@QVV5p2R>8Sl zTMO(6iQtNn1I(Mpr}hs@Fd#7w`~j(68+r zL_tEjJD2VbX{8$!5NVKD8i}PB3F#J=ZdjUc*5Cho&++IvsIbp7Gxywa1=^3LVHQ|l z0d1OJl_q^aTkgMN=(7h}b$CoP!fu8SPD$q8WN$rw>V2JQk^!+4D{6|Zqpr`K4^7W+ z4Y}vaGT*wCdo>r-F`|5#V@B^}yQYyCOSzGh^|0Bu;-qp0ZC3`QYTOYxK92n%s0?is zkDi(+VdExw>lb!{apHeMxEcz&d)}aQ{-RF>TzxFMx8Yhh&~C~HzoZ^&g)#lrjf7nq z0*v`k#o=glRkz8~cl@B5mCqP|qG6owS&$c+Qhj7+hKEbIJ*+aOVw|?IK8g=&q_gX| z#X(+95n{+WwE6|U**TpY$a!@5$Z#eb%WJK^_{5#MQ5m8K9D=T#sj+XGjXPJCclcg& zICg1wa$Z8IJZ?!c6m2I>qr(RO#5()J2Qz0#(0LE%D;vZ8^Nqj$?=JJSPM+@dANn=f z-l}PUbZ;UGz(x#0U~Al3NWrL~g0f0jS31=bh|;(b?VYmt2P86uS1zRHa~6CQ^M^+t zlPfA7Ee1O`ekGlVt)crt*UJ!FhG{85-XKw;R>)RryuJxm2|#Y%7y#iQktMpAX^wlH z(;B^15XURdBEF5X!$GY%v9MP(Q2*4YAVPjQ<5p(_fDXnqx-^c5W&r=TBQCp8(;St& z$NPN^KCQ9gx#mS%1!-`u$#P;d;28LYbl)eEDWC&hBWqBYHabEx?k0sB8^V%`{`zT9~d;JyEvK z0XUq95j*d5FR@zYT{C1}g2o<$LE7SItW_PMXuf0&jFf-jqc<^SP+VBP zX7uj~2M$q_>dt^T*Dx#{(n`=%m`-jO?07d_nQgJFc-vTm(3mqJ#=(n8RP%WQjD$_C z#gC#vic-nWtl(>ui0X2+-bS4mbKjN4A+YNN!j2KZ`{DK1-^+8=xa9|DUhnJuIt6Hx zX07zP{9+DWhM*Dwj7e$>o~yfT%R2e1@g-_Spcd>oJ@xQ(*~&DzQtDV0qEKm>FPq?( zxR}`PgHHzAM0o8VngR{k@&$)8vwvU{aP~mzS^!u^DCvb$j;A9g%7Af~`t=2iP0Fmt z)q5YK-0wg|J62)F&>%G9E9+Xa{a@TiF81d>O%MLghEoegD6*QKpSWc~6q}Mw4owa7 zj!DVpE)v1y@wH;uVs^oGRQ%umacj1av>m#7p0EwP!fW9>gg9cjM^v2}+0~?TxU^L86Ij5*?E=QZMgCg^%?(X1E zy_7lXMBOd4S{SqpkSqoji_$D|BLrBYG@e%(u+&c@Fvwi#$LWq4biRvzk7_@0Z)1xG zf+#@GsH4P;v)sJfS-t5o*DA$|Xg{vT^8}A`E>tn(skfjDa1kw|4Wv7GZSOT#p&q-c-#t* z&rmWlG;f*uTETmY^4~-de@>;1QDf7a_I(ROIJ>8X7$ zt9BS<=S3+1q>Vl5;~GKUD9+pg9bn_&$3I+-Hnpfgi@quX=|PLWRh;T9&8@1BIoe6_ zlv4ale((gw=@D2t?fv*a`IgH}R+xD0eH#_@! zcfbe;V#|aB>@)Zk9v*H?YyIQ`xNmv@TRIr)PO6HtqhqCvlu6u|O`QYb@`wrTX7JVa z(YdPFRjYsyoXuE_IlDf@Erbxf|J1YZ*AJK*fF)XPUBk-V+%xN>u*LM~H5QJR3Uv6w z^m`6Ft`4hb@RBsj=M^cswkh>PZ74X+%F)Y-zT*GK=Y=;A5RpeKv@Qn+DtJ{MEr7@T zI24XcZ6(C`?Q9eUrt2Pb5x*NS2Ey^INdgQBxZP`?Cq3NDeFi7?8`F}+`*x1)VXEgeG9$m@f z%n0@TPiT~wn))9h2}%3(W<8EMkDTe7K@8d1zSx(%HL)LLy@;abv;I%L*4onAlWtF@ z1>?H>vHk4zE6;Bm6ZzuJL|eWz<;!&S%lF%>7T^r>3PzYLpmfwNLj!byKN&z70Gr4A zi5z;->+2Q@Z{GrL1!HvWzf>?BynV-@kg3|#yu@Z(Bu10Pitg#1&cSCpy4qY0bw0(urbdR}=}fY~Xo@fbpCDi)S3uohAw*(h_J=lx9ar@&n zz!`I#9PpS+mX7#1^lGBfI)pMMcP@7-UKLH~w94^xfvBoP zumLh+or?_EUfMgH3j+AMp>~6d&5}Yo@CUV&t!yGsTS6 zDQ10s0!^lf=wzgTI(YmZAFnu8GVGdvyeoK&?3D7sc$SlZJAu}Oi06S9!YT(efd


Dx>eV%_^8pte^-Ox;2sVzY5aAki31Osb{?WcIPqmReBnj)zBFkBEgx;h2L7JnC5;QVu%6s0YoELRAncJ>` z!PcH3+Yz`>@v3&gzIEz|6v(e7D~Zy7gL~rbSI$f_So0gxeLua~#N652HBT$&2Ic3pkh9=LLQmLvxvN`;n`laWh_?^kh+FH}%BBv6Mo^*7ko#`BNefUoEUFc^J4#0Tl zNZSmn;B6W5dVA8utkU;{jVWzj`7E5|%dn%QsXj`tHlLYKh?rSAv`*ToFA|5B&6aj?}XJL6^jXhBvU+ zj|tM4mdeW^j>+dWFulz*om|#Z&;!{BaisG3J`nqzGL^-JW6G1GJh(KRX1SU58eC6d z9jvcCUB5!!Uj5j2p>u17>9nuT&*b|UFg4faz!uG(Fr|9zk0O|bqOXpxHTNubw}b~B z`%DL#Ag=@lm8XSG=Y5Jrd=b{b>9EsSAX$@j#XWp1V5P!A;lEK{;N)}rai!Lh23M=# ze|@PVBTJeW&MfxJMt+Sy2Jqpz-rorGB-8e~a+xA>TW|dyR&(W}2hIltHF@v(k_v%H z(@X@tSx&giOsy*|6+jdJG^My|eDqhEF9yoiZv^s z#=KD3KD-*Br|X22Zt?1ESe(t+dR2}56J%vIvJv~yx@IM{nZ7M4*hDA>zMWA(!67Dd za$&YyIA$qQad?@GokCMk!EyIrTwqGlBqS3mRksb}yKKTmRf$tQs!$|9J|> ziiCW)I=dE$PzKM<&A1hGjyis2#8MeL6%J!Q(@2yb6(aGTs@ZLygQn?zTfzOT@pKip zT!ORwOOj5=wP;9(zHf{Gg_ul*lPw2f2rwvvhIXYV<*3U>0++_dzZzS0uDXua&FtT4 z%qk{sL_4|`kjy8MhweFN2ADH3agfnUmr4pnbnV;Kwk0+G#1TQf91Wz@0B2>sPc`w<$08^6+Mf{gw^@5n z^d5*R&Mx4#S~vRabNS@EXS!2^Is7jt3#g8u>|uQTyA+uoQuc8dUx8?puCuJy~Eu#WuJ*YEfZciunR{#FHbw?dvKjM<14 zXu&%;0aLYm1DDx0skWldXs}7Sp#qrhUBOmgQFjzlQH8oHRz5HdU?rH^dj9kNq(4y} zjs{7;qh#ePa|tSf(j0f0tQBf%d88b6j+C-$EyLyCghh*G)yLd^yn`( zSC%o9ZX%KdVzQPVacdSNqCJxbhMtW7`_QaU5=(GtJ$d%l9J41je6RBrY>73Fl~Er` zqJ&cO24tm1k|kp|4ZDKmDFh@VQ1)!S;C8QDYHS$R_N_TyiYqe!I9Z^3KLiL%%z60n zbFek|eX5sqF|eoG-rbbIb&CvA0%@EOr~KhS6%l%YGFo)Uj;(tY1x!f+F_BfPh7hzw zRa8{o&}c? zQ#1eezr_M878zPdi55UAxF(yp$OmJcp8&nM5u6mO^*NZ1;&zpqXbkL~X8$7Yr#eN7 z;Yul$U0t3A~8I4?yZq6`IYmb-?f@N3iNoOJ{quI!E$Bz+3v-A6Hvh(*W%2M5Bi= zEFHsHaRZvD0S7M;HXahu(eZrGrf65%2@L^XQ536yUG~59h&3fLj@XODh!5FV&GwI0qj0zVjHn+SJUoB4?RKx_c=qfO;b}f4+8rl~1Rj~lU zf20v@P;s(EvIfOwS}kXz7Ozu!C%;R;M?xlL(96yIOyJY$LHpHL(^uF0?@uTNE?~|A zXQ!bYD#zy+NJNAD)twVjA6l8>pa8x2J|P9kW#TdW<8{<)bN`aqk(W+)x81~&3dJbS zXSa}!#K->_0Bzm105ORcYm@LQ`M1ri8EHS_Y6IcuoRTh@p39yAn^Uif(alQR=aJkZ z^9>{YoXE}rap~VfiHr5ATT`0=T5veJp?{8>D*flE;h@Xy$E{`s-wo9!m(e}1md%}~Mv zDMon1tnD&bnb&{-7i6y``+W2+fFj*eYD3mn=fKLnb=|7n6#9)rS&R_LdQ!loNX^n$ z;TtN#wNpF$BvLEmBceRldrdw}gY6^w^bigbyJFK_l7JzYf0HemxCM6Q1hvNg?L8FT ztxS8|y}BZRAzf{gr3m0Mj2052a4d7*4@JblwjXeWfK)X;a7f!<6DtLx)Z}M=;dQw+ ze6+Nh{cJchInYU!;e*<9UR1l%`z#+@Ev1JsoxQ{ZfORKlRrXI+7J$Ut?oR^(2E$OQ zJtafDtz7_JL_R&_r>lQg=143C71hfa`g>&%!KQ`X#S25*>4|js(z0jLF*OiGOMb!e zkKCOs_GJ@5D@Jwl(486*!+Y@$TUFRGuh(+H={b8rR$!qZyU(MvO}#r687@GNGE+9B)*rjCjPL!WymN>BBC8JhEbODZ!6jeQHu$D4+x+D0>|& zy(>v9*oOdNiS_vhp!mt2RN=TH7cch&4cAdp0e)VS=7#jB&SwX!ua9~374?5kTvaXM zcE##vJ;^*jTXw5jX^V55X}nzG|@%fI?c=ya5ki9XRG z*%^2rJ9o_Ry`xDofnXbJa&QN|i&Y3ty3YEG1=^5XZ$ zmOrIBX3lc37(fsQ`T)QeyF-7+NX+NqV+4eQq4Us~z(BL%dJ^eE={o}le&d4?zvy$g znf6Sp;pH!<5n8h5wNt;qNABoaO~v;2y|F^`o@A0@gs9MOp7lwomoVsT%_2xQnLtW5 zG5P>t##w$~uS*+ga33+m(8P@S5aI_0*6|sYs!xZc=jTin1l~#Fba>7p(m)sZO&zV1Hgq?cp{3}w zjN%J`8#jAz4eM_Iqw_B>M(g<5H4|zySkJ_<`VlLeV|P--s$i|jYVJuWGby-p4i^}C z`VWsc8KZQ&<9cm>$J*a>94A_u_=_8)p-phStI}+f)!9jak~w1xyM+N8SnN*pe`g>y8kg zTcjY1X|!K4`svbWzG_sJ)f5XMudz;dNvDb1(%oi`JRvVIgo+X7xD(~Mr;(UGL#<*E z0m(*`@Gf=I0H)Z(xnRm4k1ek>J-k6T2OzxgcM{2Vf^Eqa*_eE2DQ|?!FMa~k)N?x^ zo~&;@UOAGCjM;s=Cfc={1>cn(N#>^|SCSk*B8Ofa(>)}=p+$fC{~lqPlLz~95};Jq z573baIQzt_|1et|7*9Vk{GMk6{lO!o*i=sL=vJv=5j1>B$+4%IMxVpSNZc8uAk?D4 z$^fJfirSzyh}hOn!>a1`X`pTS`YQdrPE(lo_Yk1g?2mTzfOu4&35w8y)fYAVXb{p1 z9=xJ~B>W|V3&Tx zMpn77>U%OM1A40kCojvz!%Q&2+(!9j<0(bM9NqG$t-KlXrz3?@mDK3Oshh61aL$7( z9{SMI&Vhh3{8*P=4dJRo4JYDo`_*AW*sC*Gd5uEkkzr+cUgKK4YwlFyuBSqAzhkur z@_Tp_m^YCsUga7!Z*{z2@LWqxPUDu6eH0ZXbfn#x-pgA$grz?tv*yaor0{<`NrIIJ z>>Niq(V>P)!GhQDjv*iRR~+B=k1LKA4GdA<#^J9-*)qyrRsfSc0}wKS79_}FfyY3& z(Ps$v0RdA*@&vi6)h}X1NRN=5qkwgSB z>M=WNyz6YZY3z#w+M}w3otyL13~H=*LIB{5#N<~(hS@S}QeSdr<}D1MLKSZ`JbZGM z*a?e`eMqIJ&}z8P!bn!hPvw~Ekwj0BzDj0NF;spHvPz)fg`NZfDHh962=q>PYfUxs zQ`SSze7DTgxr%9^=yLq4qS^+9*pVzzlc(_G@*j<;&$(FGO^Rw?4Mq+Lxf|Io#1@To z*+iTA+>$KSxly>7*QDbRBe;cHL?)Ca0Yxto3FGWPq);mX8_y3Kz9BP^%=%FKg=C(D^l>>^B=*GI~ zSl~lZ^{vxTP@=eVas7@T`37A2YA$_tv-{-~YpiTGRZ6`}1~h(nvNlZ=_@wRKC(mru z?vgrD}YuW)2D<+J8rQa?JudZ z;#8$^#k=S{y$7~xK=ga^H=2ISr;-HhDNoI{GRY~PH$i{TCH1XHIjxw1hCefB=PF-( z;*QZ#^knSX&TOCVw^|s_@6jZyy+V5 z!1WztzL8}T@r22(D@dz-2j+^0jxP*KwpUql_bdNB-uEHor%ogB+-D?u>D}p`x~hjr zdm$f(R8~kD4Ujbz!pFoJIr1*PHY>$UxgP_mKlKJCQvLl3OSf1lA`0tsD)zPNc@Uxa z(Jng0*Lh<-;Hzi`^Y^3`ITOs`2t#3Bc3=JRl36W*6IRmd6l zJ3S4gchA%d!!tD*_{bfxPMBy1L?Q zvAMVe?AY7+fG*(9q%oBY3?P9YBpN^e(*({!fS{yD6$C~*lPTXIR9=jR`w!Voa>{T`W2rV5Br(l)^orx2X|?SA;L5L z&kWE`Dw^~B-AV9z^^^eLOPBjNH)U5$O5rjRU-7COI)MLxJWYX`5Jo3Stj3Yswc7O0 zovPsd(ZzrwuwJC(n15W_)a!8e0LF?%kk7;o3{K8cz?;XP0~~i4lC`;VXbl;;OoZQl zDLm<*ds?Vg1U^16xWbklXJ1LJqyTn7IN&kSj(%+;y$pK{Dqa~)wbx*!hg-toTh>GZ zKwOMM-Da+l+&Q+hLjqAZf9_FBh{%&d!;t>VJ{%^29RQx#=zYb*#pj<5rGO?q)p-gq z4YpBGuDY5FMh0iZUJOr}?nmS2g@txIhKF>0an2A!EFDJN96=M$Ynq;>tk538*%YU7 zcy)6!j1HFH#`+W?qc0!*iaEOuF=uGl9ofYdV3S>CEuz1B$e*~&Zw zT2j|31_m!xm${ET$)`L>#~&}Ey#m%uHZT0mF7HhMpPI9;%hCU2s=7*RvCFQXmwUWj zxcut>+GK|Gn0b8tQywmUe#9V9^?v2@L!_*Euv9r)y&pfEopb;5bQnze>@xV%_p2qt zww{9Gw6rgM_fLakDsgI+UZp*0{g{s7v0-#jF(h&{sN#~L zR`dbPK)zYGrSe$C_N{!DPO$FVQ4sU}Q+8~lburoT4p0^Dd&>7@rKE_LsI>!^IC9RB z85q;n6!74dwr)E915UL@g`xBhB{m^>$p8^V70ecR-`e!+Y{1FtLqno6td`CNHfn)s zZaVCbZND>>2QRwChY6Vad%sbb4KtYcwEq9oFPGr}sOLff0!Y^N4wEQ$c7X_Fq44y0 zDa%#%K;RO(CCDT{v&B4dL=F;hdKO-ahD(jfD+rmW`@`v^`!C^L3~7328OSy%Q5QSM z;yD^C!+ck$<9P$5bYQzTK!D&2NL4UC*O#fOj7Aj9!TKsfw3`4#bBOEr*!z972U_Gg z83r#qG&r>?9#U$^IXoAdxj!UavDfXav@J~G=H9QZ7k^QGbXhE&sc~c+$9q&vTxqW= zYo74$Fgi`HiY{0{fVRkpb8;dY>;jr$_s)owZCzSM`)zV>5~>m8V;@mh0J=Y71%Eh_ z_^UfTKN6x?H}@T2T^@G4ATN=yAsjYKd^i#o{^t5T+0%I<*^g*_h4u59lcn#B;TohM z1HPlIA9x%1K7Gawk|5wsVHtbB;@%i5-8o4T(ujB_DlR3 z85xT2SNuy^{=8q@7A|^t=TZ3B)Y69yO^li=3ZZe146wXSx^NJ`6?6jq3beR@GDG?`ul|LnpQ91l7Xws8&kVDeYnsX~M8|(4KSg!Q zX5@1kI+IK)B1hsRpS545CuvHoXCu4LHNV^UidC@;!ylx6Ju{R@D#N^Ul;4;}VzJv4 z)*bP1lG=ghZOfXv?2HNPhk3PZyXudHMyo-_^nBcQTi>fubDb6u+9|K5K{zgPHT!sj zrt^b~BQx_gc($V>?tfmqj+Xw$Z{qI7Rwc_n-^*16srgulE9#(Xc-^Uwc(3VX z+mlm3wPmy+2a_?kE(2bzCE(Jmiw2E^MGe%TFcBhX5~~9Oi^Hac6^qwv)cwpV*<|5&*|-sXBG?v zo#s%}^>bktavvZgL>7@@Cb0%QLjC~rqiU=1r8pVdH&K0JFV&#VMI|-A{{CgGnYL|U zWD`@p)%O0Pga+C}mF|e(h!~4b%bo`9_M)-(Sf0Sdr$VCxy>D`!Mogv`tUj%gF1g$# z7Sfyyw}e{ms9Pn;-zwLdSxts_Ml_;vM-RUQmfjKtd?EEv>@q=uI#+TMMLO3HeEB7G z6R~p4;N^uWLN0`VYu?OX&(jj3DeN>x_Y{xa4KKk(XA(CUAqQ~xI&L}le@)WBd0vJ( zB!){`{Hq)hvQCM-P2Ka@uU5;|ph%cdblw4?21LJ}vpz%N!6%dI7s3L4^APn`+ zd{NVace?IyHNmGIg4xiF_K8gkY?Aao2d>Cn$vS_RAi#w&s`KqxG{UibAN8S$7Ky&x_NB?3~H*YZ^;-w z51w6)@++{E0LwEI25!Y?6{AwGIFuY`hn+Y7JQ*BXUtj+=SO8fR74_%mIl87zlAU|oH?Tsx{-+-rG zWAojHdq4x#6<5VO^8v?W&D+oaQs8<>i%;80M7S1D9{XhJMRxg|49WpNp%-0);lME6 zys9(;resteO9id!D&0p`J_0Mf^exY2I#;sMqcJ>Blt_q?SZg|c!$#r>2UjP07(&@5iv7=!7a5W)W%DYzhzG}YM`Ca z*s3b~{V4Cb#EzzI-}?*67Hs+)k)um{z2?`2I=jAfP1C6~-vjGmXw+z4FMBO^!+ibX zmB=(UpJ;x=gZ3YxewN0^MkXqscTZim9BGtYQY$B{A`B)2G`6~{Q7%mhkQeZhsNd(| z_%NpA3nT4^_g}qb)7p(TO?u%MZ}q1k82yq5;vhGCd)G16ZoWW&9OYwubTz8nDYk6q zz@90z$KxB0STIhHq&})em&p(AH_ZGVV1l`GEI8}ol#19Nc~c*fFBt9Oe%f4#lJk~4 z>Gjfxu<*J~*AdL`$c>5RCVGumuxyjuk@$f{A5>dq{KQ9P$2}5-u64nKW=I-8DU9WN zHk;$6eZL6&IsM^6W>xS1O4@j0{sEYDsNuG;fO6F;3!7lGXi86;ot+f#yF zpP!y|j^EEY51dzHf5OU9*TS?#z7;Ajf1budTDHN=?|=5@;o%P?_VL5(7WyS`z80?98V;2Z0^GSIKm@%CjaE3kMj*bkRGXs2csns zbyxMgCX>4hZ6!c-YqKb?*=Xs8&5&^&DM>U!MS>N~}3)|yN?HJ=g3&$z+CZ8#Nc zd&z|NcLeEG9j@mBA3x5AZ`)-m$!*{Rm~hMd8PD$k`asY#_qZ=8_x)IDR-qUgo5;L( zY01V#4SZBY!slyWfkk#W`OuUhl5Sa=f#a#WxVfmkr3ZVh!G}ZOYc={U65rcJq@6Ql zCb|)^0aa2^&?`{>V74_68KLtOXfv1e3D$8v5vPNL(qCJn&Er*RZV)h|L zoBQCTL+Y^!2#vQZp1m)`M(aF8W?}6L5S`8u__v&M?`@QwWHwkUo?lh@%;+3h7}jXP zkH~~^?cmIufwntyU-qrMDC~amy6INGyDJaR(#E@oHE*Ho&%D5P zdRI8$zGU^hxb1f`vA{if;rkqLK9A;fZ-#5S!4CWhOjP907R6vd7W6a-%Lrm!I8ErA ztXS>jDixvp_@GzK&J2@-LQBl-Dg4*2K$8zif!S?}Q12eUVz*n{p}4H_3AOj<-FZAf zbdgfbI@krCj;Gpm%w^ZM&$eCI=Y=TTHF1as*lLN6*fstJPb6d5+D?Pxp$gQ0R3?Sw z6pyTV(+c@nU3R}$Ul%LhnE1b)HpBd!@n>s~5ayz&TJ7YOsd6FVze{_5KL0l7eO5z zVN?)qhEGhKa`%XA>vD3%jh4t9!o$Kp{XYHjJsXoWmgZInrD?MFX4A!-)@C8p^6cu} z)!B&(;wrNqb<#BJ+;DN$sC)cFt6=afb64%<*zUP7B9Q8%Y;A*ZfRzJZ=BMW$A6jz6 zh?cf}Ro8xy*<;L=q9D40*E&az)J+mH3N^nFc1$0fZ+Xb_HXZ8Ej=kr-T?gS?cA%CZ zKOUGjP8*Y+^lpj!*vhrjR>B`Xi}A+?4jWCNwDGsU7a{HY^$xW~frV&R)>E(c@&4_n z28B*Nq_)Qw-aufR@y(K>lS{)a&np(iX8O%$P-c-?o=Hragw;^96!lgaim;54kG`=_ zSXGWk4H=D;12MN;wIY}&@hxod-;X>*ic3rDy|M-0u5iBzWz_4lqTCofHums)U-(x$ z11AE<(Sw#pHQ|gqw4J_wmi;rMc)^IK%DqV9ImS22tQ50N?JuN&D`|-u6bYDT+-ZtQ z57i~r)*s|Wq;7VIh(DqUp+7hi2E_;X9cUKZ3C04y2RyPbBsIpp_-+38j&e^kG>U&v zw=9%D8h{{YULp{tRqWNTz<2B{=I)NSf}5=q=XoZga}b8WE5p7 z3)*xCMEv04MMn+4A{>PhVs@V3!%PW!72kjL#=@1FrG)%mu)&%H%EYZ==Zmdb)1G&x zj5#Aslm)xu)yD#C{rQWlYn;}D6|>_vlAP;ZPwbgSKeJ0?aZ2&pN2M%K|ApG=CSrv;L}gk-N-4& zt*N%>sL#8aKDYAvK495QCeD1F;$)+#b(~XR0xMVlU?b5lvyF zU9532ubrkQW+oj*i;r#8N(T5}t0oocS`CE59+Esx=jV{Xk6Eba8ArvzvH7|xUqr{t&|TOQK1m=re*e2hTt%O4@5_f@c|XY$%44G6 zh$0W&At4+zXnpSlIb1NOAF~|$pk`L862QEjC=dN0=O-oGfh9*a+EZ>q_hL-o$@^mxS|M`^>T;Ow-p*vBsk=Ugss8# z^0K`!<5Kmk=?|-rgy@+?`>+>;%#IH4BO)S*jfckw05qSVudi?I*n?QKQkH@S=EVEb zE9*=WU*^oi$A{M7fgwl?Z?_M%y&n`pd|5oCdP;6DC#x9y5MBXI=5l2@9Lf}c-U32v z@Ms#zf|0hk$1>EaG*Pc@eL0cO3@R@ByN5imoJ2<~dfgL9DEX6U#eJgd#_LM8M~>6` z&@0C^@DW{<`^D>PmI1n12Fw49ldRfD5ABC$9QP2Klif1be3uVX9|a?m&Aj$Z)kjmpVl zf`&xcGn46I5#|^RNG5d}N7C2EL^){c#-2Go#rT)Imc147dj=n-?p`J1E#+%tF@o{ zGJSE#R>`MW&?eI;SWzB>DV){b{oYso`9hb%cS^P%5B+jeO!KsTsa;xb*7#l52T(R! z^`u>;eIeb$X+y+RQi7+hl{Jk(|_7evwL}zzrwz_2W@Xo(_k|mu7?6kZQd$Mzr6GC4nnF}j_UA_yQt$p^ z=!4EIX!f6MPlpEL-8FP@AoWD;NR!~O-(|@d2-+FWdzK}D=L8)#dBy^l|IUi?FE%Vg zrr5}r_g;05J5WE4HUgI&!zYGxQEw`MaCj@cj{~4}J1sXpKc{Vqi;MZ;&oRc;v7GUh zOzz;V@~j}0OTRkx_j)Vg@r;Y-e@Z^lai3$>5J*q2Lpv0S|<>U_Qw*4~iJ2hF!x z&2ExUEdLs0cdb_Lj9D%yhrstK8u9f$-5so#|951z`HxAKko)a!V!DD3UO|MJ!ZBDe zNfC(^essS$vIBTAvLgqd9D5sTwI7af6XlwR7CPw-^L#&4AdCMUE}KN}7yiO3gyAL5 zN1B{osK7pnk05eg0A8ZM~j_lFC&rj&0@VCWOI;)d*e#e%rT* z&)XY6@u;{RZPxr4`@a^&9nz1dmcCytG78L49^cIZ=)pxt#)ul)6g;Bsp4L6>jrgsBL-o?15v2Az7HCbuVMigngZek#Qi3UKZ^)IIb-G z1g=>HrV%x6sar+K?RQokIBdJj_WCtlEo2H~u$sftW;XA9Od3Unvx%!nkgb;Qro*|^2{$yu1;^`;*g;q?kmls}Uoe?G`CGDRs$9x5NSkO#(@u0Y;R*v)qv~=Yz zLC`E~vUCzR{3&8_ZuRcNTW=N7Yr}ceV}@<#^U~hwrf$hQ^@JABXGaXPb`E>S?dE)& zIIh!f>G)La6tXj6R7a)G@FHO&H>h?&@l?l4$mgC|AP4-yboR-A0j!j`_tfI@!8NH~ zz=gwdaYNOzbD?+E1h4s>Q)s&7qwfic5Y>i7mb*2cF*B+pFV6@q+FqItbPZS^4D z`}2-6e%I~JZ&fc!6!kneVY2RCspKDOSPY(J;gdOwKby=iLkvrQKZNHWzm1l!VLtrP z<*+5uveI;XN!r@!u%-XiMOIFR>&8@U^H`7q0&y7opuV_KRMvHUbx~nAFN)`A;_Q~8 zry4o{-Eo?_wLSHOanxS5U1gqj9Cch0>Xq2p&y_;hyHW|=Q+s}2c)x?Z+n9^rc_ThB z`ORmAZ@5F!wRNi=8QxZmPmrNmc$!-v2Tf7P-&W(mn7Xg;bmFTXqeJ9%boR>g&I?>W zLmc6&!D`|WdM@*v`h33;41t+It$k9jo)hP5t|1bEnFy`D7p3iw>nP01{q9WNMo@UX zK!=)jxgiot?st+mtV&kd(TF8tFG56?1A?7M$8w$-+=BQ_{%_p!=`(JoJl2!L1NCJP1 z{YaYzL`QJu$6Wvxqxz$>Z(ogI1~K@)YU=87J;pO12N4LMywY&NLq&9S;f>c-)^hF9 zk3cNfZM>?I@apCHBmMdB%s~pf7M8f6Cy(k|D0aa>E%9^` zv6WotC6w)f&s%;NSUXl$R(*bILlYBRagv3j^%1wN3OG9P1m(l&`sY9FMxw($r?Q_r zgx)%)&oHlY^PnR|@X&?coyKjV)&=Xm{=z4Zo@e@c(!`@9bXF^rDLN*$&6^>zpSutT z_mZob&NrZ}9kraa|G^DW+<;zLrV;58O4cRjy)U40!^Sx8UOsf2iu80|Uw?llTJgmE zIaJ<~WFyd9R1y1|1ya72KEp;(D!EmaVlPfPbVr8rGuv(njUQR`n<1V7haWLkVXII& z+k5zVzWCm{muH;t%CrIU*=XGaYG8MI+cO?BU1QgL!27nF{!< zDbrP;@d1*%i3V2=Vmi@Cbhxmvz(4kwJ!bpFAoY$r?yVY@n7i+G^yuQnrB<}giH@k( zkkb@ZzCejH-C3s7R;8aB3C={7*y89XoLq@W$ozO9RT+deo1Q!}^>ZsR)CA~5aLdajdEe&VCWNb$X z+)81>@RP@V)PB5jJz~$vCN+fX&2FJmrBBndl31hH3NfOhpq zq6U}kUqpN}enqAAcS4D2e$C9JW7p5xj;~1OeNC`>obiq9+Twd*MsnjH$m=X#3ZkDY zR2f~+N#^^rJL&Gfoc?0_ka0$^R;4rmo`0`VK@po8!VifD}k z*xrO`8Q{F}Kw;FqD+f}gZ?;e3G311VtFbw4s7L-4_+>)SKMJ?!bn}C2IY9-V)wKq^s-A%%x1N%QNvTqV|j&K|tb#C)Ni`EK!x!ssB zsEz*;lb=Kj7?Ds#4Q;#VB>VEFb%NdG0J5tY$3C`+7GE(i*a9sPK;Z?r>P@2uA?!97 z5kZ_yenI(M1%;U`DFy0?>U3tk?@enMqb;MP%>D$liM-tBmZOWORp%%O>N zVD+nfS^#8|Uh@#VcwQ*3q~bv}R<)F?+NP_p%W}SZz&K4kE814vr4;+>rxX4(kAkbQsl&HJf)Qx+KtI>*98V6E=_Wu{(Q zKh5;N=5O$?%8)GJSSJwatd}tYHVKO^{DS|q9fJPsS=7uN1@r9bxlTc#Q4u^}l_uxleq?%}76K4JVC$x)**lplhSVOnQ}+$v`Jn>LEAvj+9Vw zNs!{n%=#|tKOj;-t!N=%+N9_wq7|#yd=X_DX&-pk z$$x48@c86j{tcMbGRwAHRi)syWS&jI6>;h*+eY|K#;i*ZjpS<_hjY{NWkY=jF_!!p z=N8i}=qt@G1$sVA4n~c)h%W7LFVREMQDRGF+5O6(t+(u^Dmm$sbkSf?C)*fKL}QeS zA1Si-fxEB)U_|^CPuQX$ThmXr+HaQI3pse29+Kj|9@0;I-$W0@x*Pw1H^QIJtDKZ>)A}^iuwXntjQfh`7ZjBBsCm8XLQB{@KP(AUl-hkbd$(AHNIj=xyIz zk;*x2OICr$4fQ|)cgI6kzen(2H@KA>K-nwcb6c2!dIQkSm9>Q)CmG8-c`ZgIa*-Ll zGGRxywZu*>Qm@dHwaYO}R&2QX75AX)l7O6g5 z%Id12XIyAtr7|n_{efSSeqdXSLmAeaS8*b_C9BRtiokCL zPcA^3nW@Ra^BY<4y;x@c=sU6^OJ+?ZSw3>r{f9jf<}DHXdun7AyBJv-Y)b{;9GjW8sXZTfDz7Vjj8vm%g1eAmW|P`?E!XyX3+* zdFZuX|Dzzk+_Zerede6FxCQTD5!U;q`yHLs9fmKWQTiv9*~QXdGm(eVYwxU`bvFgM ze-*Xpb|dR-EhweUVn_4)Wz*Wskzo;c(9gkz(qJ$|Jj@QL2dLSIo#cE*|GS$_JEpM| zMpsRAii5PI8n%rMzhJy;oYF(|VpB!D-eo{X_}rx zy|1iQW$%8(i95o#w^)*Hlti!>ZQ22H5k#mz*VQeVc6CZVKF3yk?9UGV*-f75dwIHi zjf6iZYUod4%S7bH{)YPb&eKD5XK60XcY6YZ{)WOr+ZW=#(V{+4OvhdQOWR5gdUVDI zC&vJ-OjOHX0oERPD=D^X@UJ;p=~*j(_H2&VGiNqBweT&Ac@!Qw~WKXt~X3|E+=n*)#vk%+flx)q<3l`fdX=MtuLX zVdn+_{@!M$roaDwU6~#Vo?ga9)Yc#S-v1bof});(Gu5Og|Hd$L-?i{0fVWbxKk5*a z4KM$@zJE>7+Eu36LHeZ)PSKYi9?4V~OKu*Ee+p%mJbPASFLxCF!oSTfp@v5>%@@8V zabq3=hiYT@hl~fM6!FSV`gBi9$D7tHl%Ww2N0w#2Ja&tFPN|kZ3wOG5#^r?x?fz7v*@BQXwk=6x&zV4L3V-#Xx`RTF#z+FFL_Gdx% z^x*_r2?duUCJpQ|E`Je3rXryaq))9`sFSWYjttkK*QFHHYz4C87;4mXKUmRKTRT5i zQdQDT?|UB~EhV8^cmbSaRBwU1foLDUVwq=e$t8j9pl55^V|fUQa?sGg8G}!UbVEzk z5+o&u?uKwEfZDn9&9?cH%_W~$RfHjPIFN7B)?G+ZpPzYg_kI666w}6JJr&Yty!I1- zKxCKsbrhMyX;)lx>S_%_ykMCP44%T65vK6!>`r@aM|Gx~D90OpdC@|ybFMV?ju~&_ zsw^OkR)?V_XAAQ6%pc7jjDWmazMCAYw`EnuozJf)Ao3$nXgFo1^K9;X8$~uB*KuvX z-0*j6Wkf>&?fyb8#rd~QOkQ6^!8yL8``x=wa>M`*bf{VRtfLkG@t=;g_)1q0Ca`h! z8{+3L*F#@l3I84`ZQ+zJ;WgRs~v#bfb`J;i{k+;)Sii0Qs&GZ=II z69atAVv==2)#C}(1F3`qy{5a+IVfmPmq6hJblSs<`M?1fYYhexj}|jPE8x8s;G8bY z83QK+$oiM^#6r3@@VFFuG=YX#_@2jgTD=(Txc}=blk1HWQi~Yj`OEI%8%;pOCnvDquX1+n~HACNPAUFkVjvpp5UU22KbI}k7uS8_WsCEyXLMuU`3&xQRg z2?)>(0jTZLB#=rImsh>?+9c<%BX+=W^$zUZ4)swcm0zCg+hGy4p}^n47iF3e35*CPPFX*jfs1d(Sw}%{1p`Rwt(|W6>%W+!3`chd z+Ru20d#^M)v8|W)3Bpq+U$DJD063j?$?;d$A-#Dh-NOB?-G<-zzmNB?hLjMGIHPH+ z+v)Y4*>{w^#$LU3A@u;^V{?}F$U?%6)QiLZRrAhyALi5;(LyK$slvKL$&%@H$;71v zuS5v~#<^zrLZ4xoKC5nWm4aEB`3f>AR$clL%&K@%C!%;zHVyna{3JjK0R*4!GXq(v zV9}Pk5Bt4u4xm(^rnsAV9{{Qfmn2gulHI>%m4PQXv7aN>Iu(`7kz~(Uz^4T8J5W{k zuyb)lcm#k_o{Kz!+<_>^s+m%^YZA3yVlHF4DcDMM37yf-q}b~WazpX7WXzwV%GOfP zSKG43%B1M*&J5Zm@KXXmBEBflod}$P_Lu5pOimi}&F0#rZWA%jNFJHzHJ;nR)`xPsWl72MFVm z2n~zQd#3_=&0n}n%cv)kvHef)HqSEzzO}YTJjx||3?JO{-Fm#%O@;^)bhI1z=;sIT+J(#57e3Z4-0@thzI1Jv$O!W!wC1weLacY8> zk9~Bf809<6pV>zj`$mBM+cEuweuFEdW2jmr3c{Oa_TiXTN!mk1L=AuPgZC zuxMVjVC~XH(-B)}MlBzRz1mx#d`C*)D?cIH3mnQWU7vLcC6& zjj|w{lgF7W4&rviVb$sl=ZW8)thQm4}EMf^l93t+;l#1+E5v@$k7hEM&Ue9d{I#rw~% zv!X0T6dI;paU>^i!S1cSw)sfXZRu^%E!Hiby%LC%Ozh7yueJu*v!ur=JuRzbpikS@ zd=_;JTIx=H=D1<8c}{hlPDmRl|#VG2^^iJDAy*trae(!5q#uE?zLP+JtFcWS}#h`in-JoBJs|Qv+$ou z&ed@?FH$6d8CO6T69h~Gr{*f(Eh7b0euZbIfx-%2+w@p0$t=MwPcKK--v|8<%lPC# zaStwg?le%ix9_hhb^Mc4QdI1ST;rvVFznYKjZ79%0gZfX{$G0SKkmHSmNT1IGrz&+ z*7>hMXZu$j`q7IxXW1EvZuZL(*Qt|msu6V>^l4nM0={hoZ0F;sv3leHx*2kDj#q!V z^|tAxggiX&yX*3fH-$XxUVTqW)d+yUAmCOLFNBT~8dR%~fs(OoT*-(>&DROXa6sFE zNo(C2O!W;@_W{5JXpySsKLWD5Wjej>egxtoy5uHBVQrHEm75baED7Cg7dyA@vv%@x zr_a%spo~|n{*1l0E!P$xN#2C@&PEnjqKyK=8%un&pIy^Wr%J})34Tz;Kuw-I3)h_+ zra-NB&J`68gU*ef+qhaya(2pYuU@d@^yF!$y%`L%F3*v^^k$4_i)A}2g`(*~ z!g6l6a3u{8ReZJI%a(Q>J3pv!C;qqLg&Up2{()^p|LFD~`BDmZJK|_t>DgxwhJR9M z1gRP3gx@=q=7%+oP6u5jDQ;h!oWQg+Y%o>-z4YYiHJvqSt``aTq+yL&-dvs+HB>C*~`t{to8aa#}7e8Lxlp0AIw`~ zr1f@dlU@M)celyLJ0O?qU9vnSeTKX2=%pccMzF$ypAF!-0JsOhM0zObY}tu>WWg!_ zJ(zADZuX|rWpBRN9giF@>Na;B_}8+MAP+CPtjl3&d0v)mB`|pZ)&P zB$07xfx8)BKHy(SCXf5G6ndT6BH z;%{TuNPQDuS*!h+1O2cidzZ!i8ftPGKH^x3Ps28PkZ7!aWb1CGVfWA?yjR4sEBRI3 zS?KU+0~*9s`39gylpD1ZGo_sbDC4&opbYgnfRov4n-Re%vmBp&>3Ir&`wfwE->lq@ zD25OC?vR=v3(XV!m#05ZTW)93Er#tk?2G@SFX*VR{&aTE>Cf|8oXOhphCwQRM?U3q z?3yK1mA3*GrzuybAMDq9o*c}lweoEGqXIwD7HiAs;AJ*h*YcA6QhMFFe*Vl~qV_Aj z8sA$0bc&y%5f6=7)exnE9{2NLmIcF?qSe)KMj%KA_?IgU%viv?wFu!hD}bhr_VQ(y z$Rd6#iuz`v-DjhF3pB2B%v4Oa@nQ5xRblcd(_CqtHI<%k;*F{30dGtbOM$j~$^bi+ zhrdBv3EVYj*Y+08&p+(E&+_?#wI`kf2%B~R^k+a`h)}=hdP{|}?SSc^IJWDM(L`cS z$c$}d3KY?n_lgvJ3SI3vdG)I7&qLD? z`M!>?K-Y-u;uTUi$|n9P&r4OS$>F<#mai{keGk(WT55K&bUdiuQ9%0$>rdlN*b_w_ zbw7f+`)+EIJwly~`;GP0XCm>#3o{H$7YsnheW%F8mhtdnQ)@glU9kHe9^)c;4_x_@ zuiH624b&A0A(=z+1D?+$+dT-Pt?x=h>Z;s&ysM6Wke>}0?^x)2Q;qCz!G7<7yd~4^C`;8C`fib(HiGt>SIf*>Qaw{5 zeGNW<3Ihb(jo4+4bH-X5id3N2o0P2Ekt1UJM1e_(hG8za(yi*$A8|!=h_uaVpF-z3 z)OQ_AHh1tufpfy=O-XhoaS>w9i3kWgjhXBADhRFLB_TE=kAu}7VQ4!B9keefaAgT` z>?CS-e$tJT53Zqmoz2-kFG^Q6oOT^&F?Z~X_)_Oja^mvGezT})Nz7rm-(pdJbr6@SJ#{S=$ZbICjes-FWN|8R0HoTKg4ayYIuz-UEY(CW@hQO+vz$Nt0 zd_`m|FkYb+tRmFP=$!D_te3D?Hv6wLP?9v?2k-iAA?(*v$?+0o2cucVsJ-H>hPuD| z-8jFU-|NxUFYUKXuc364!}{v38ihCj>Yi_*@HQ?TXi% z;J9~4h@l+GhJ16ABYT&4BSph+_r{s?3h8$%oNhsj6=M+I0zIMJP_7ND2aTbk`X&#y zeMSTIl?B*W(^ueQ3BAdb%2F!;&B^)@S|W(Jr=Ugw#w-#DSTi^%vlcHhW6CuXp3$(5 zxewwFiR1+~groE5sCCd=0Fx7#qW$ZPTr<_yFlLPs0ZoRJk`#S5Yo4$sde}0gF;tD- zA3XX9^`bsb(KcwhCS7O7o{0D%<{~t;Cne#Bo2Dq<^+&IFeeoN`zt4N(&r=tozjez( zUfd<+jZ*vbEl|otE;w5N`Un(FFawOI5<(QR5SA-z#RMZJzdOX)y10_Aop~RBx|?;i zC|BO_AMt?CMs7vgeeB%1qppS*M;S#TC$yi<1YQM6v|oDN`{rA~OBHPI;9r&2OLCzG zx}$YgP5_H+&$&#lwR%Ijrg(=2$26@*rM9P7wd2}ciGd_x9Yt2$vluS#`Lw;=neb9l zGTx8exo&lJ;o{V8)3aSx^}KJU$w0yw_G0~&)f9mKq%>g~Fdy-Yg*{@Fq)a)&%4^F$ z^xtmVKL2cFnn)OH*qd|`n8Tz=S)j&ss}rwv2>+b(s%$r}O5CW%=Aeq$YMU$T;0Kc< z+P3V}D~>D0$&1&a+)HTrs8x1$u1_gWXHcT8L#V6JXpH1N_#28((hYtHdI1@Ta~s7k z_um`qoG!Tj&9(@8%(~>>Z?e}g+Ih;HsFwGAmdDY=_exAJMpQu`nz0)lfb}Jv_C)W? z^yK#i`MB>meWe_}N25$uQle!yD5b@%If57!qp-brAJCC)$m>d@*&nUasse>b9%ekz zZ_nM!VGV)atHIHfx46F>x+-ABj?_tjmY0_cm6mGCDPU$n{Q{E!s6bRbycN*-tn48* z_3wgg5v{^qJnVuv;Frj1(Nn4hT1Spo30#1|1B%?L$zwY)w{rzzrZhdn%PPtF({L{w zSeija1gkFqY(E8@`U8Q1w54j_t!Q2QhKi&i*8#tK5!KTHH4l9)$)WCZ{t(5*tgizn-xnU=i3^`r}3z7L}f)u zcA?ef{h5~(vnS2F$jz{+b?W?J=KT{3^7cbv1Y3Ds!zmoptho7e`_Ee$t2^J|=Kh*} z$QNH1A`*!96y@Vk|KGepOab&CCQn5*nI1l&MN*V7`6pmU#3uj|YWD>y4-H_s_Yhuc zlkraqo>qI!XpHkHw0V+WO_h&?i%Q`$F4414<>AuDp+WDFDtU{M8}K_8{0oAXyec_qwQ&^WC%UY&sz;;#J6nx@pI_UtDV2ME8aYvgh>a<5zBX*Wb9QO zhZ}QMz=*d4U`ZF2;mr3|Q-Eq0i@(iE3qahFP0!EG%~76&tV*y4fpFARv}r8wNu%e?VN0Z zq3@u1VM;K-7kF)+o+~%rp zS&cBu$zc2NaXE@*r`cLxmo4$vx#V}G453w;O&pxf)pT&)inBSF zSdWN9Sh^;YQb3$=Pw8JxU-1*tj$o`ZY~)-EI)$v7OLzORF|Vd|qjcBxAY-1y^zRe= zQ@c`oqpabFvVMpQ7HVD6!S5Y z@!5rpQ7eJ2l9z(b>@03TDaBOgyKia9!kTD33NdTps+YO_o%I9T~T6L4BMoIP^C%P&o2jtyXg!V6z0rs&b=@O5( zoT9A%hOG_O<6=}JmK_^DA|{%zD4dC9|KCy6U240C?E_+ck%-68NOXrK)ucfwKljZV zl$H7e-e@HK;q8mQh0ZGMOaHQO6eICK6lOI7q~Ld5UqB;kn&tYw#(M{=UT(S$v0jyh z7!E}yuX76~F079p^ILt$x&u2E(@z}MXx5wv_`*-60bpF=uQ_)y@W|5Ye)LUzpQpP*Wbt}VIU&&NFV(&-9dvy%xaJbxCG7*e^~| z+a&=odP?wD*4c6KN=;c2c)`963#Zk#aW!LqrL2)&E z;iU1}A0Wj@>f`5CI?Y-(U98YNH;( z6Mg&k9ADhuSvcf!I47Xoh+CDxY_vjBe9HYaU+eeoq?$_0K>9oV+1F(w^t))P0Ow@g z@b0c1GL>fRM_DEI$0)x9 zcOJAnO{k-8^X$=CGy5_C`Q^^=%a1|w2;y=a(z)He@0w4QW*gBNbfa^DLU_aPzxrmz zYy;VlyB*6S1-@=ZxikH~<*SqKnLBe7v~sl5xZ#6_&%shzUDvf2u803h6S@lMbOx51 zZ65$!0qBOck5TA>W!BC2^q)aj09XWw1p>lE)l4DsV(x`(!FZ@`5;sg8U%kJ zup_4)`IR-hLTv8LE@d_qT4crC{1HFq@anptxsr|a1u2Okvy8!IKppa$R!|p~-gpH7 z4YNMe65kYDROjQl%mYK1^MCsj*qi`FDrB&yhj?2(DT`4p5sY6uZ&VSr)w^31RPRaQ zC>JdUrl zlXtws_StWA(>uoa@SwzqClxztJfNf&`Wz}q-OD3;^Kvw}Z&c_ft0cvf)d$Iw)Jf{@ zsU_LGgtbA6KYEj{#$u`~?8%mIAqljPA&i#B2IXk06}1G8sOy;du~cNQUk#JoIB-jHj924Qb|6By_Ix~3h4(Iz8l1AFgS8>-)y?zn660q8G` zzLBahO)~sfKI&fIpV$5b#Pz>^Z|L4#J-HwG z-yrL%75`zh&5}MpWCBw=m|hds1LqDAn~q+{x2`949%>4 z=3bmZ8UPbCGXZj{LH(R{vU@0wcm6L~jz%$zUyFl8*Kj}kY#w`)BKV>J+s*@ddNxF4km@l;NaLf|SAHoLGiOrHb8R4f)}= zsBxv9hcK95)uY^-W9Ta9IWMyeD)-v$&093KyG`~&kLJu%0yKs*?$W_2Gsz=%;aTKy z64G%s)n^=ZiH2(O-ab1|w&?K3r&C(YO(ZTTzs@^bvZr^oE$QH4wpMnXKZ%n_30om` zV0jLd77p{B=bqZ}yN;$nKnxCHPV)azStoNF_?W@FOV6Khs8w z8S>0@Y{+1ANbgygKT&$&XNsjUJD6c|!-h0An{5V;bG%~N__?KDl{|fO+xONQSF&|N ztbMyM`mJArJuBCA>Q3I&o}!UEQQiz3b<}}|9aOKk`hw&S$p@W?#R$BtJCg`3BT)3r zZu884BLq3JPgGsY(8N>&n-6H~W-kb*!OeG5C8n?dFcOo6{=^U4Xa+2;%q z)E_*sywvxXC7x%e(7{f zaf%h8-4ob?EVbR$4*_h3+sqWhfAHiTw4K}CKG`dEIm1%+2G2%WRCxUuma*wX^3VqBIxm$A$#FY9 zw^`K>umD)bXtCM@>2Ow3>DG_hQ!+DRoUl|+;1Bl?OHlaSlkx{tUT zE&gVSmYFK|NRTQEjN}L#_=sMqwp0ZFP6WdXQWxiu1s6#Yfi(`BH$Zo-s0$N~ zIR)}$^nx%l{se zMCmy!BU<)+>%ouCUAmZ=5+0QH2!J#_|6QO5fo>EU0G=I0sx|WVgmAx8zsdTw!>XO0(LQO{7`tQOVNF*N+-3f$Lzxerhr*(p3-fHiL z(xCgPMGG9mh0I>@(V9v{P1n^N*TMG#*Xo+$ogOrNn3gCUc{U<+ya+)i(kVSWCcDq_ zB4=EO*nG`cn)gQjE{-^U>&+~`uP_nmhz8>$yO%6LnH~5?%tNQ3by6+`gkDSwM1B8f1Rp5H8O_kx*uZsKX6S zSuXy51C3+R?^j=cWUufJ`66!A`_7xT9I_HnH2~NFnsVY53`sIB4u9iy0@CB9`miZb zO+kao^@T}TtZwdnV5s|JTDi^AtzJSp-@3Hp4MJtG(x+|A%>Cds)k8>ZVhVk2*Y6pVY zN~D<%gUX-VcBz#}ZY{Ofh>PbT)9uzdPqK59;z8_Jb8FKywg!?;zREJ{K9+s+WeWrzr#O9gT!N1{8?ZyPo@lT$Yq>`r7Il?5KgrE35p(%S*mQ5&PJ{Lx z=GbqpQeYC+yMR0bZu4C(fYMT(e3M6O(C-h>^n%w!NNa?%ruEb9hzA)_7XWukBD}x4 zw+r9`;#O6h?;CJrX6Z6+c=tPr8p(Ispm|dTp*=P-^AmH+)6WzCP|r+so*?YOWBsYI zF%l3GfE)6KV>#Y=sH@}dM}AO7z@CgM`E&0lRB7ju#Ua!tQlQdMHI|QR3ioj7TrjX( zHP2LqXoG}ipdkrUA}M~vU$6TfY6MMs5wSoBO$n`rA~tRW@tCEuXxc~I6!B!LsRSr4 zA(d8-rV=QlfML4n!2x_G9BR+ddN7|Y_^25DqrtqBOFz|8Us-kY;}{-2tY1nKU%h*{ zUxnW_#4>&1#Pk?yw_F9?Vx&7=~N5%*{|p5+){&KwmowG^c&8THVbW@AFK)=5xeE*axYZGHbf*TD(XMfQDlWJ%bAqBufetLDf& zS-r1?jGCX2gE2HJ*P?AjR4xSCd|10oFeSFqweur(8$$i~h82Brvz!6TNLKRi^BZ2~ z|7@pkoK+c0Hh-6+yz?;Jn^SVhf07^rihM}?Ia&f$Tn<>uoMR!^&vo2(>iggS{5|%c zlhV5KGz;h**LNSWxrJufBa~>qacOFV{Nz z<~+Er*b1zT0uHa{6kT# zm&xA`V(|j__nztM!2>yuS1&bXv@C)HzBVibGzM(2 zb}#Z>&v30KZk8VTyA?Vy?!{OcPlSzwsFQ(k7X?mhUs?8?MXTMs2LKs$d4MMCD2FBQ zL3~MEsT9w$9M`Xesy6%WrY+xv9v0RMx^6F^5rRMOHI&d@R4e6Dd;d*gPrt@-GGDhku5C+<5t);8Y|TGjLnv-W$NCuXFn@ z`-0!i)Lf}3ro8Xh`?g5Nb+Y+F#&$Y^=ayIw;r<}LU3h7hLZ!6n!LoPFOw3lV7@zc} zw1vEH=VKWqn_unP<#|0DP1xe{jJzk^kLRTS=+lvFfkkRjw{e@e24scJ@Ood82!C5s#jkFxQho3s`gS-3aV?OLn z5`KsT9fJwUV${DH`I)W#(qurq%wL=We<=`-LqtdnxFN+i;_-QedY}%z2n#i4SOxdG zrA~P`J3EtRFm#4ntv;fAR%=Xw@M)WcLdGCk-O_B@!c^3*Y~p!Ie$N$et=Sc!3`?Zv zYdwb4DT*{N<>AleF8e2F>&@jrMMwshuccV6i9RMpd$4H!lPa{4=RdwOPiWsA*2egE zVD~bF{$1?54N`O_H}8U52|-bGH+Q!fbrnDxRb3(csAK&PiP8KSjpOuXJApRLQ!$Ab zA&6zVq`Gr1Klm;@Fm>MS^{z1hW1KWW2Z!)X$9bq;J|6~qeWNQDYSYOjn;frUkW=cb z-6_U2SJ#@@>_W>{)5-kqAZq>`|lf2MtV z=LTm3bv0)0MPk{d0=^7L$ldH)r7UAOQIi6`V~m&*`3<7*ab`az`VTcxjg|<5 zfRvrT)YES{YxebgZwcPre)MynaPK*JdBbv62}t-}pjVB%1_B|#e$99BJg^p$4i!sX zDE{{*)K9w3q=A2d8~Hv^LzU2ne&CzjNmxBKGX)N;E8LkKn*z^RXuY4C3Hgz>rdCsdSMM>9uUH zN8N(K4`9#46vmvDVcAQ&+tNykvoe&VU@-H#rueXSA`8+ZdeL-NFT!X2sUCxe+WyyI zEd~LG3sU{7>REF(+cN@o`CdU1ByyBn=u3H302LSU*w3_o;La@mO4 zSy=Dl1Bd`dRa$SE1rTS|8X>tTNC~vaC%}%fY!2=B9(_=RHfKl8TVS8G1&juMyw-rc zU8z`>WxIw;zMuE{*3R&rj~w7o@bj~&!%2i75IC?dY&JoBPnv6bPX~=5)5(>XdB%Ok zqk>H`;{R2uzcyQQDxY?@z}P?cm)q-hy8Ta+(hwl`H{6fRyT4+QM5}$}Pq{da^X)9( z46276B~uAbtN$R-RBC%$glaIa(g>JsCP#XM>K2oJPt%Knm@UltbAdnx0}`>ebQ;G1 zp1bsv_R*}KG%bMOz;RHmAu&5by!>Xt8?~V|tp*WKG&%?M$=r^OC^a#-pZU{nbo)hU zZPJ%CYfCxt@qQ+7EgAvtim|Y^5|Z({y0iubc34pTtJRO%idldS`Zu;%f&I`A*Fl&;Z z{BDj2sy?;Oo6gqi&@72@c+$P|irELaNI9{iQ!t#Q|g-oO$Z?pv46Rpze8lkVNkdn$S~C zhHsx~K>E)2#wY$?G$EAh~?Zd%mHa@mIjb*CP@Cd8GS2xYykq z$m9t(6dt9?p4bG?9qpVV^UCZoj-dN)X>a;Kzqy1pDS#>S;(ekuqiTqQ(iE<xKE_LNu zTWAFtEfURtnSLw&Q*HTNkoR#cy%RSH{VrDR{-}c7NRFY^&a9 z?AZbw(dD27+UE!DM-^+`I@EZy;~D6$p_l6|jhjs+%k{Y|l4Xt;F}r;B2_Dp?O7S_~ zpI#w-Rpcjw0nDl;zCUtF#`Xk#>?bE!7Q%oT3P_##o8ywl?TAx zPT4~bTtFpkGSIW-yh^z&*UlNA#;XId)-gjj#T4B_hieC=8? zUFdWC%4;A@lR4ay+yyOGISbfGvKZr^mWxtvDHBp@Kne+1y^bP zdP@ZB)gVy1yVO$CvT_9uzoyi)T|LuOpkjQV> zI`*s*hc(c2?ta{D*OB#*!=dEKWwF+shDX_e2eq&W>gds#=Or21k~p}fh?0A=XDPy* z2SyVGg)3EBE~>*RT(JMlKBj-UY3h83^+LGQ2lbTob4NMS!XGk>{^=;bnut%SdK5g) z7sYc})KeqH4s~ReN3noKm^iuxvkJ3?y0YqA#Ej6Ib=$7ZCiyM5GQt_U4}fOuKB*!{ zHKuj=q2Lt9@YsCP&aIx^;_@`@N3mw%IXfn1977b`2OI9r1M9w0$X1=#VMZc%Nsy(Xqf%1+2KH=RRy^fgP@nZ{P{w$`qlmQbg9Z@~vrnd;GE{ zPl#L7#(6mqT@HE!S|wjM4U*Yp>Z~PMf2|s7&2SxvUO}Y-XA5#ifIkFyF(e{JrTFs8 zsv=?jgPCsNN5(cx|k^MA53?bpHExFCs)RWdk&WOp9Og2QfHkZm!&m0vAo!M5QzPM7w=1luMTwhZ6rmg} z&HiZ=eK?6TEALZR&P{ceOYhMOHVRK=WEdz=Z#GKaxWRcjJ4jkQh?c_El|Owk z0YC3s`&(|Oc{H5`+LbYYg-1&KcvY6&Bzn(u#-5MItl}0I%Mzd>5U?Oum7ZmOAb(w$fLs$E;L#;oVVqK)?|0v z?h;46v&jw^GV(ioxN(W{t|#&-aMw$?LV2=jUtt#lhC0K1?U3c@%4}f6W+c01160cf zt~H;vSZgZOVp^<7-x#bm+V;)G!<=^^cU)!Kaq^rb4T#S>$nX|hCXCvY_B56P>R?jKiOA(RBG8JVS9Q=6Lovd@2K2=lSH#((F>@;oTgd z{l@Hbe8L{b1RB!#a1Wy$hmLQsZ#N3l1Pf<(*GU;+8;RevXO0RphV^)Q(>mh2XXvs8 zrQA7-uM)oleuIEV5FPW*Qhs<-GX_WPOAhv>MjEdl|0_+MEF_IPYn^fpvAG2Atbpx) zYLV|`wwHrWvAJXtvvjRXWS!jup1b27{QS|J=U0)sgCp&*g5gn*KsHX-S9z1sJ-L^Jm$}zk0JU1 z;R3hjf@ny>-X>64Bkm7=uC+|55Y7GZ9H@B7Y5~;u#&wn}saU4Lq*A-lypYeWT3pPg zV-21Zn9!N>)S@^fx%UItJ_4i&SP8mYx@7@)#LFHqI>7pSztcBXr%H}+ohr&+cktx< zU0?0*_EsmdD`X)k)4}$2KWAf@J&Lt>nZjXmiIfLEDk8q9d|uG+k2Z@+jN=ru3C&y^F?u83kQH(WH^_dgQd zUPVq{c}naSRMqmwCiC*AeYZ&U@~sKqVo{FlBqvMjVB~sUeG8}-tcJFkgPxS>lg?Kk zY5ijCyB*A7l(;iWQ8&twdi12{n#IGCAJV_Y=&!F9l&1{q%dd(pdsp1mF}f7ad3fAD zcy7?e57r?m{Gu9!po5F3sg>qwQE;<^1!M5m3=8U4XT2xw0(C$M6ZCf`TirH#Lf2`l! zTXK(aNG1^?)P>?>NbDI=^%p|I`5a3t& z)Y$5W7fHWccuQFiBJ?%WGOiDpxq&1Qpx)K!onW1LQ@B>M{uQ69g&~!!z#6}UVG(sw zg$Z`pr0=}eiIycm7+C`cFguJ=<~<@FR)-!fAoCZ-#6FWbMDk{PNsTz0x0n&TVFZ}I zzz6W&0(n^To}bkO^x2Fv6ObhV-+3DFt4KX>l#kZy7b6ixmwPCWYF!EE1Xc<6bT_#s z`QMT%|6Q+EIHCajeNMoy(;62Z=a&5}=sJv5T+`-_&#~XaQ8Q(_;Aj%Lt)D$aQdN|< zytRSu_u+KSwyg1dwBt>5g7ZVzZ=2Wt30$-$D4UN+ZqwxZE&o8EN3-9~^D`Dyi0ybp z0@87Gtnix-H*vTABQZ#HsFL(_aVoId2N~7|*l*&AYFLz}1WL3K0|NJR=O|^di?v(t z*VM-Vk>lZd*q!684GeSiP~enhgs6o>G`=t1n4ospn|Qay*_ch&@8PTznfJW7Ejo7F_~)q@#CK{ z*|fcrrhEM#@dxe?OQm#ePJOXXDrZd*tR2vKss>1$IT>)<440XPWF-A-hKsj}KKez;(3ZdYgYVlH#kz0plY+46Mq1(| zrakpr>>SU`o6y&yMXewl4CG=0Ocjtc;O4a|1^TH1nMXbM*`a2_N9Muz1}MUd9N%LI z-6Iq1=9z=bx&q1IKBTOvxO~jyW*Nwl-S|v58m8`L2Z~K^E|8bdLye4#Izj9v(69kD ze+!fH&hq|&7jSO@D3UoG5J5klqq-hR(>JNG>Vd|9&?9}E9&LcI0-pv8Cq^{a37DHe z{>YhURHb~ZJN=IBCy+R>Jq-Z2?gM~O{FXFND{tu z>=1fa|FGChSovtpG}-Zo_&gl7F5I)TOW0;T*}PgS%w=)9KTr7EO*}mrjh>BPn+H$k zq)t>L|JN{|zbf<3eSK~=Bz2x_U)h)OgzO}G`N5pkz|+W=ec0cxUdu#9KA&MLb#l$9 z!fSp|vir_j>cPWs2o^l1N!cGW827ghs(G?~80O-l+GN@vV(7dLvinBg{cE+FZ>DGb zAEwR&oa+An|HsJ4rm|Nhl9iEttV+lzqGT3X$=>JK)Lj|bdnANH+3R$WPT7%8Hlbr= zXN&*q==-~_|8=>#udA!>E+3!se!s@^`FIA?>-hzZ>73G=_f%lHLR^!>x-)l&HXDy# zm1mw&PW3U0wA|x+-RXDyc}VH+GV-A{lzbs`^(QwargLJ;qWGsderNRbdEX=u^gL)P zf-n++@?wLs=n(?>K){2%Ze!k$Bd;5bdg6O#gz+X@nq^H7FNg}h$(q{8sX98nlj;RP ztn_o-Czfofp6<0w$XyKLH_~f$kEp+gN^4)H^Z9zNiXWrz#7f%^@+(b9kJ5cwN0%l$ zr-)qjk5o)~;id3Aa)nQ~aB);DeG0EWndXQq5IZ3-$;;2-A?Ro~Ss5zFF?LPvtaV0X z*XD&t3$De5O-2S#0T*Ur)GcDPU^X{S|gb0DN)1b?SxbojY## zg^v>T#KzxrW^>@)rBjlco@#>M6B~cPg@eH^@e3en@=kU7v)8{PdMKIDv4$-kyj0T~ z1th%zceIyi=5mt$#xCk4uU*YZMw+}1v^@1A?z{-9?tvH2Epw{~W z$K)>!`tZI!D!H^u?veujGRhlxRy5}74<`xC^Q1S`z9ox75;gEClLf3z@ia30d=eHfJbX4XqNt;^f zTxK;E*HY{)FkRwiv7HYp=zqX2-sI1Dz*u#pP$pf;f3>HtAaG~WqNj zGcR+09G=jz(n>`ZEcxv-`)5DK`e<7W{MYL{0{8=oG6qm=0I0LR7)r;w=tT+AK& zgku~YQ!R!~u9wh9ILa@Tesoe(Bl);3QU*)Pj3G4BaweJasZV{}_qagw~5Tqy2jQx(d(qfszeMog71;zwlJ4+D<t9N z%;D{zCOGcM_NglOZi3iXaPqLk@7&&~)z4Ij0E;+CYXNWqTw8e4y7LWR{I#x+_;)`h z>&t+Icfc_hR>d2~L99PzbC)ZOqQd>JfM;?*M@=Mh2P{yu%0%al$g=2iJjMOvQ`9pZ9hfjb9uOOy0Xp7@i5sZjydovfRLAaI|U8%mo)mRS?a7SrDD{e8p1K z|1LBwH^e^SkZQlpgsjA)VosxiVt-qoq(LucwAAtdGx(>~bH?FrMgi6nmlZhnB;6qF zI&aPkF>Sx-9{%};7;nAZUHPs-L6UfKkjiQEfscPI46ALND0uA*D#5^*RC_ZsC#qb! zYetBF0c;4}H;^nT4%@h?8z(?aE{6~vt@0lmq&KgUWGHD&wn%nZNUCP2oRVHNlNZZ| z0!=^U%YLD0{ojq_synJKX|2+9s_k`yR3lLLUMZ;6!(>$NZu{Rq8bo$~7m}iPQS`U^ zuFS4@g{O&Pd&C)gOCRy9gY$zolbtK)Qp`m%`TlmCm|l9<>X|ft=IWh^KYeTySKHoJ*^UcdPyY(eW?SpiR+6})9yejN!bqF+ zkc-UM9j(r3U~PH5x(!F|cpD*r-bwhI4vug6O3r5q&rr}yE@UL-eWd~t#LM6~@?3=3 zm0{iZND|Mig5%`ffkyJJ(@_oWA)EBv(wlwZA@oh`v zaUF4W_C;FP4biv}HTARsthXywhXGS~4DB+I1w{^+4{24NSYBqhyKfTja5tfias0n= zqSIEyisi&V5sc{#rtLu}!8b3280u6kb!~pZ=%+xjsi-Ua6OkCS;4yP%k*g>wl6=ps z94VXIQ&$68ypDckHhNHbaSnPF+LWX5NRfGAu)vKkfwl(^$NFhb7)Z2}3T{1LUdLKb zjHL%R;be{JY9dcL+D}p_JxO=v1-gIqJ(bAMZ-d^=g*w8kCCZcOB}+VrE9p3FLIfG2 z)#fztWHIJa3p||GVo+GdZ;?KsInPDD9Krat%J)OOX`{-V7J#rA-sE<*Rzt9z5e(Xg-q z7{N)Ho)X_HaNfQ(h9Jmk4p=6E2nN0&H3O1~Wb|xPhvS`RS5_S+j7kf`BP2!4LuWS< zC}z>thZsDDmlTCCA-(6vYo7CL{hdYj42JIqMR&ewZ>g~*=gxlJq4a0cdwtxZd%rzU zM;@!kPUNV+ykv(5AF>qxXpSTH|HMSmh?`v#I5zQNpK^i$V{3MDi}MiwsSM483|DE! zPojO<0}&s>>4jNK^NuDC=GKn4LbA8DCcwxT{X6&@^5!V>ij>On{ZBq*Du=CDlO{V@ zKbS8KT>{|H<%Oo@{z?yNHuGhd>{SL3 zIqG}!8yj6OmMl#bNV0TtXx@l^CK3}tA1}qhs#p8#MHP-g1u^0|E`NV+k}}wdmz^~x zZa(RgeAm_C4FGAoK0K`LO5Eu(H`QeEk|q*^PW1;}mp&TIRLTR%ZR&CGUbf^y)|&wd zN+mb@{lAmB3n7}N?3$fM!|5(1p_iaq2Pv`My_%UznWpD%ij-utdx-dp86LV&1dJkJjxocVNUw(cN4kOx7g%4O z9H2IyGkvw-1+ON|X2H1vDmVDUfK(JKn}?GS3j7mSe1HBY7<-m_enWxi_=cavTjO{C zpajI0-0$r6v2*MG?is*_@&m@GQl*(J-5GRmJmCvh0k$sGz`?-y)Z#rA)K)*@cFUda zkP)fhiZ~c$jignG(kaSQln%fpCGRamJHwOM?L<9@j>y|)PjjK#->g4 z>#h{mMWXlgcyv5W3l`bO>o783@ny27iljB|)7GK98zIgf>)V?I)kJ%eu?g~S0wPHs z(+h;F88yVuX#I9OLhjGU?RQy8dNI7F&@YGSlNS1r*qy5R>Q;a3B$KsD^iNuUxv(o9 zPl)kO)wU{GuOkrioFj)ZBIQ@^i^~v>}4h zYazVUXCa9uEkN5|>-Cr8)8QuIVsqolgAs&a;qNndR-4go-k7GA93Z!GB ze>w043}Mz5#p}xYHj5q_k~y2tS!`+4l&qJ`qp#c+&3!dSxPFNBfK9JcG9rs1RajlY zjrv;{--^OJ^sz=?vu-l$65{&`l#B&KEN>vo$|`~MaE=iCY2-}+xe{eI_7LWkfO8rP zugUpu_aC>hfPJ9{5soO$bW;(t1KZNV7=7ce`9k&{{*at_m+xMErPtQ@zqzKf0lb5KXkpkYvkE9;Li?h^l7(jOp04Vt4!qJyQjt^AF zN5U&0ssj<52yqJh07GyIrsJ3wXi2(2?G#ahx74H04ikwuX}R%-4gL&Tx6^)&eJh*E zN-B?Ey0Lky;4U8(e#vB1w(f(?H4IPL@0x$yjD6`3$CdUB!MzLm!cgC}ziRaM-$I&` zFn1p5(cEsXSUvy7ipTGd_*j&#os9ZPQKR0g)T94OMg*cK-HTF;%=R&MM7Z2j^6%gD zkkbKp@v-bdxQ}vw;W*12gfP=HjF{u-S&Lc4^I@<7P6X96cEj3Cyw7XHC501N^F<`pYJw~ z-h!^=XVTqA&G7CMnYp03h99Km51&*W;}!>Av+oh_rcFI80PThN)z{U&=k}=oyD3I| z>s922d$tziT-X+1-qaYcSC-*^I)&j^*M*t`jz)VQVfq4CQjqCMa71~GOQOlP1iAAe z(%?_XR(!ynK(V^VsZx02G$pw(3$)ciw_kFdfhdFh*&alUrE+>;su%_iQeqmG{t901 zIVB8Fh-a{Kyzru1R`1NQ!@X1{*VZsjrv;rul5NXF4mM$WKSDp05nnQy>ee2jn3u6m zE7VGqE}zmx-DggpSA8x!;q1#k_PB83S;dlGaka9NN*A~0Th>dNzkJv0&d)Sa&)EQx z!G79`E!zt!IIfWVGE1yY^I2+pf!?@iqw4eA)kBkl=IP{tgAcuRsVXC_FpSRXw^9QV z44xC{9&5l{l;AJ$#0F!iz%rvzTEcZ<^i_CM=l!AOEhgMWxJ`kxzTsc`wXPg>lF)mADP%^J{Ok8@o+xj_?k;oP@%kOmCZcDkD=)i2yk74 z>auM(F;1^M5*Cz!{0iQ#Mek96#;YA8g&8gwf({znl+XQ|`TJg=+))EHlNWJvBI2-i zbDPzLi#5^lb&wrx#T4oRYhOs3Ca;$?;~7;-TaPDZu2BZ+tS2koprO)PVW?OFmy2X- z^^FLmEACQ$@`w*=zqg%^Xj(#Ckog?-L6+9zJY96KJEc&@#`cN0s;}bd1I&6;ZQG0# zpRJkfBrbo)=$jct8C<25k#?g*J`-=Fv>VMW8aib!yly`q`-oR*02|ZOul_r~A%5%L zfq}vqTjY&U3DRqe68WAXXXw7#@KWWbtjFVZZePCrrPpiDTi{yBfMfTf5I@VZ8Vrsu zx2eP4?K&AB;fbH1pE0K{JADsaRA%+-U7ZI|3aD<+^ za>U9iwQRfh^)03Odq^>lQ8|z!_Fe$f?0WFdu7?N8W)X35NS2t&3Rr3;rg;$QrA3Gg z*xr4Tt|=Tb$!kJmO+{{R6nWVKsPGi>r}76iZ?_mOhacZLy>=H=Ss3D>O)6<>RxW zQZ0*czU5negO?z=H^R-jG*&Yywoh;I3?e%Ar2}a%TzmH^rTPlVJrr-?F{0|zXheBo ziFp6cF@Jlzh4}E7+v$u6j|%zzw-_>gt~E=Oc~X@>G+2+G0*cS{xEm6~kRa#gW~9#Q z^6~B}DT=&ivJ@&7bLSnO!wtS9C4C;eL_1#0l|FjjamiEteGYTxD~`A|)ZEkf(;@#R|G$}21o@nDW4cPy4nkYc_ohU!7A3=O} zxyU^ymeHI%g%-+v#@O^$=0Vy^CiOoCS7>@#3RjLd`h4dm4nF$@ip}kU#e>F&rYswo zZYvzixbw%-#3?#t&ZLPz`Ue_hGpi_r%i#(fzGBGe&`@SU zS#tT!$d(1Amuu)y8K4Yr^||V9>9F={(X{>Yf`zJq_uQZRDGegn{zY%NNkP;Z*_!LI z2^$5x9tc_PKa}S9H??{)<$HSi&Sv`7>DU>RE0? zgO$(hcfM%+?xO97Kc*c@@BQCySoG`Ns1NI3%hkpU;ae!_W-j`vj23ve%s1h-X6zmZ zsMlWx*AsM9@DYQ;0A&|!@IVNMe^|^mjQlOf6K%#4ny6JwC-s8P$)m9{ z%Pl8T;>6SEAnEXLCsi#vT^*szYJBCgFWFcmVe-E3IpqJn?vmdQ^049ue7$dW#>LNK z`^`W4Sj6;3T^3Iy zc$5*+oX=_fEdKG>dUjXXkZZPTvdQaOqlj@Lh(Nk;vOf}|x%(~%TX*j!D5o>~m$%$t zlLp6&(#~`|eE$Hsiw&?`<{Zr8DzUgrxA&*M9aTBBS~RQ^pLM}coISb>AA@hd1Plzj z>iuCKZjY@?9CUCrHH6-kWDsq}jQI4q6|2Z%F!Lkt98@HZ%#SC|VxJ*VZcB;s3*odq z##Y??VdTd;w5n~R3{*pp5Bc&VpPT$Fvm50nUa95<#Z|#&+d&nJWFPd&XZf!pum|V{ znWzt%-+DhjTUBd35u~y}@2ou>*PjsQcR9r4WVLOTuZ3W9VvpK9m~hGja{B3!mOrY+ z(ZLiJ7z0~#tJelXM67eUzk=h8muCvI1=B(MNKOU=Y{DC&06~DcF_!Jz-oDg2>H1Rq z%_(ubYRruSDyVESKi7O&2gV|&lzHy&c=B2(-2oaSe+rr#vWoh&CQoPP(;W%qP|twr z(5^e9xyZ24m5}LkuO~~H_>TUMY{yzHzV(!0w!JC#l$cm^?TCxNv-@JvpxPMO0ZmyLo(Bz8zUXO zia%HfEsr`uv1Jz(GZ-DiBv86_TgQXiLDOO~DK<#RO2 zuh03p^T_yrth9* zOfswQeXA7dki1f3F_H@<={UFF-N(-L zA9K~SX+96(#R_^eDbw|{D*+I%c~@!?fuM9v<&DR$T8JEcyd?LiKHTe(vBD$xV8ToZ zl!P#bgtKJJ5BhL3k~~nOK>MO+I>OuF(=;Z z->}l6;g*M8I};Xjo(k}ZmUH__4q;$!^WV->HqFr|(OWMGF47lH6ATXR`S)^~OGu7n z*IhRo+>Rd}5Bg;hL?S!2=nHZsQQ^xBmeGfg#UBgqfW3oQ7p88be@gi(1X7l@9shMv zmHwC9=$osbt%HS4w}toV0G8fWuR+LnrtZO)YqHYB(O=FIZ+5P8w$ zjK;LU$AlG=mdj{vT%ol&Fa=^0>aIfq1>mh|jqyB&W(7SM3>+-skpS_F#6xzS&Ciwq8?SV)>P8 ztH`nB^yGD}%2pD?=6t~X!Kwo3>=Z5rO2ePeEcZ_X9FQky-wmW@@CE-6WeoK@0jom8 zWIvaxsk@lXe2Qy(8Al@`;$wr_!Lw)qy6C$rpxWnL9bZ{?B@M6}&DYU>CKnd;%(7Lt zmH|IG3E2~kRWmCn%M`KPmkcS65_u#xL+EN@b*cLEcW58u=5`bKdlfEQ#>AA#>$T{I zs?@B;K;b1As$kMN}A#&UM45jBifPLD;<}lg9naPPz}Id690K5nf3!7T{wKB zTcG*e@Z|0%x90$)R3dKPk~>QIjGHWcCik@BCWzmj9xPCtO6vfrXcZV3ND3~^g>

zCjK-1LZ7R?#b!9qqt6p!rjo?&&lMy(38-+cRb}xGM)vFoHw$n#jYvUB^>J-Yk|%K6 z8e$iJek(GBW|dAT>CuhF5!(RFNb~!$zR@>Zg@Mk||1|$%ln`=2b%*vv$lq&3Ax6Ok z9UZwS7cB1-O)Y!S6PFgSkyEj!OnE9teNg%K75m|1_7r=q$9L|bxN2Hmw4OYvhOz6o zqi<8VKBv4%i|8q2TtspoUnvC!Tjw|#9{O8x{Y77qU~7+z>wS6yb<-@It9N9AK4(L? z9kcr?KTZty+8nEt+|y|?WG~J2WX6odRsI@;ig={=*|uMTWV53+Kp(kl{FRr%9@aDD zoq~E9#7=KZG`WL#VZetB-U;ODfBM8Y9l#tA(L6wrT-#}Es0nW~)1h0Lk-{7HyyzU) zk}dP>a^Gjp@Cf>B;4>JQX2a{pkjj}{L|c1Rsk_Gz{O@@&$fvM29YJr6!U5cNKSnw7 zXhx#*m_N5@Y|A~SKcbj>d_*6!6X*1$YU+n)^uJ)8>&XR<_CFO@hHKfkeqJ3>`B!&- zk!D$JbK9p1JOzyYK+f@yGjehZVvF{R&D1E$Ku+18fo2hcaNLQ4Fxn_o79t%iZqg+d zkO=(E3ODCGR!FYwnE( zyKm0f3`f5M%4#%Sb(u^jH?9b=Z&Qim+75ysDB-9N| z`LdEHve#ARMAoC)cP2A-jwisQ#qWMsdtB3@jH?!S2mmKYDuV087oxY}hx0sOxrr5q z$8U|D?nP6hk`6T@%>b0?60_qUkg>5Yi}!=*)d<84_Wua_?! zKE3b8UmXm5+5K#D_SXnN*495#O?O0~Lu6o6zCE23= zK<`JVRYl^)!Dn*7mloeyuOszU#+SV8Qv=LyuyR`qq)B!oC5!lKRl}!@SL?r{u#fWM z_#&g_Lgngdz{XL(kYZRd;K={w;A8H{S%6a|-f=iZgEAqL{>?a9yWD85VTN5PBHi=Jj&{2>Pdqg!xK3a{M zZa99y8rKG|5i#)*Drtx*0$n_7v_9)aOW-Qkm;jck)T)3dR?l`$DbXVbe|t$wUcdjl zd09wfj9BAGzth1>-VMHgzG}Kne`Z3h#b*Pz`_o*1A<1(Zuan0k{#)NTm>G-xJFs(S zBL!XhK;C4is5n;vKbmud-1C0lK07f!u~q(5o)|>9+UqGEJ+-%Tp>|2qHhUL2RzhblJ>O0YSYX z4G?alOpXv|1VQ+Xj{-LYO^}>UC57;Ymw<2MDg*&@l@=i{e3rRUGF&OSqwcgOWaeox z6Gu-}qyRGT(MKG`j@nCudy?2V{vNErWuDRaTKAoqO^5A`#DL&V_h{yAc7X=!hNd;8Pj4xm3ZX+AFP?r1+jwol9SpnY!v=}4&H@<@wM zUF@IaCU5?DaO8hV|fy34O#OyfITF1f-!QET=gtf9RCV4GE>3pI1DWoy#sXl`7CcY(E24W_A_bO zD>#o}{8r_i3rX+}65aR$dc0kPe|CjQi|VLgHzn@Pv*X~?fHf}I=Xen3G9von5G3Sv z=4rFq|I=?l;RLa|WWm>u^)7F%PJ}T4vlgo9qckqmFR6FH%Y=125v&D8t`;*PFfm$( zS`B?`GJoALMn`8!qbWMPY{VmjGBqH{qf6;k_&$_n*e~&d#Q)b%Vm$0hGbJdmFSOq( zG8$nZ0}}R(wC&yS;_EtC-czV@BZ5fc)C(1^YqKJR$Gw%nVY5SYM-f##zzi{AVuE8* zjq@br@szRI`;+l}1S^o}iE&~{Um*HA^pXXHZwdcexuP`lG^9Xw61jgOkjvwCrk9D> zQ@EM(`_|;<*LOrpvUGg7_|IqiMK@9gQ_pJ1o^M@g7+p#$pV`Rl7iTnyanO`{Aau(NGBPgS>MHaMTSIY211?B;A#B(a zGrvXUeS|_FT9To9g)d^^4}~Z34uiI;&bDJ_E&NQhRSI2OIC$2%t6lze=c2U zInt3sByYlVGryB#Q6;Nv2lSR9kKO)W->Vw+Kfctevl?h~@xf{Rwo$6D4fimb4|RMo zJp*#O;Zkk)+*+Dmx2}3YUKv`4zO0-Fah~>$9A&BCeHM1RJ|SF$`mA+0mt4Ls8Sbd;nf;mB!2F_UexKyZ(5Ye zx-oS7f&8bm1Mtu=7bD#3oN+IG`7DqZ$y@n`GX!a@C2LfPO=ka${d^q5mW zEOW@Z*cygH77AKkiVk8|1|uUA945!=Rl?u({T1}^nGY;{8;{zov$Q>&PMN8{)_bk? z^YP8jJH?r0%&+s+tV3@jxI2X%gY0in zd@=T$)BG@}XE8JLeAQQcdCW+%XA-z>fbZO2sDIzjZ*WEwWLPl#6PpI4c&$<{OruEf zFfrvS7%7qLDO-y1rdW_>TFZSV{{=k}w&0)r1?Ru?;9p^xCJEN8oM3Vo%ro*)AfCrI z3$AdDgcWvIhjD&;TgwS}^qYtL9-K?+Oib=a!tF0MLzh+qE(fy_MPh{{x`m~FkBYONeIwlcbOAUS z5f`P%Gon@LT2cH<%tK#7<<~F{VqMbP!sf3WR2`Zw*>>xUx4S#6Ys&_+8|I{dSr8lQpxpLuH2(kG2+!S;5Z4LHguz50^xO*J#CH`NLIz`9FuFQnYdlGvYD#}+kLYt~uPL?c|C_GG3+lgwCSiMZ z3WN&Hz^^3IC4d6$@!P%otTZ6iPD(8ROku+6d{2LX+2haa$_nwePf5E0TbtqPSFxQm zR)Oh>=zexYA?nY6t+c!Cy)TBLJ0!zy^D2Ult|F~wROy6Bd z5xB8 z8Ea-QnK@Xn?#nEX-dpxXi4rUo)AQqvemx!F8zvYa23a&7Nx>(RxcbA=t@ zM;lymD8Y6*%x=l%jl3|8f*jw{!m(RifqCFFk#s|Jq4 zumoY`!`yR!{=d`s)dx*l39QGeoAiyl9!n5=;xl<^;`E_qz|huzg;RPbVt;H=<%7|1 zPH4c7pSr>ZbD0=yNbXkuUapywI|7xYs&|TcjU*>Z_1aw0bq_Ab?PBXRatk#^xf~(2 zQ)=nrzXvJ3H~icmrJOO!Is<>ELNr?puS{`8aN7DO_Y0H*- zQg8Vy(=-AlDfn+xs6CSV-v~xBhp0$3rNNZ^9_EeH|)>jxz&bPO2^UhUjd76Uo& zzyv3g5Zw>M!ayMyP(xaQ%*;VtMAliZ4Yhta?_c0=E#0D4M+d~6C!HqTBK1uzF)n<0 zq=`2Lmw0>JJkiO`gpu^IqV65qRp)Kq?Nj^BX zWl-tHpCysdy8)uHb0dukyhOi;bE38Y6u5b?Brp<|_XS}iID^RI-2-hVFM=OY&pdLh z!k%UCmB;Jd?-44O7%ywz?!5FThMpr%8!v;mJOwJ68EGr=W)ZyJ()mHzaf|=mQ^pjk zBf39g+b!RgPins7&2E;G_;L0e8m3bn}3=UeDKWcoyEcwPQZzD`^ZR(@N% zcfo^n{*uiH;1DP>Q48ETp%po$lYEc(w~{$CdF6ZDJL~m-xudSalnWRpOZ%_|g!_?DN-^=h2@L1IZ>igm z>eh`@CGSi{cvE)ZA>C~6+k%&m82?2=)KvUl#BT3nWaZKUv3M;4pY#G^Up`pz!6A`a*DEP`*l+)|c@{si0(FkB1{zQUEb2O>n%yc`$sl-{^ro8IeK}+E&V(u5<5p@rQEOke=)*I@ne`ki9gj0S zvK8-?No`SQ+h*@f)V-&|`-|QBw=@#8MT9?LI&HBvvRG>ZX!8&M1c(KL=T$=yTJw8E z0~YPF25Y`PEiC(sTnaX1J+^dQNKQ`(| zXQksN9&Zf`HGU<`_oC2C{(h>|e_qiTRtxg;1)nE}Ds) z1biI^u~(kF8aB}G5yW3tbdk4+ejE_IBb%QG>v}jxtwFE}+YKmKZ;KGOYcRNn1)KZH zVUWV5brpEXKt5El0Ik@mXHailU*e`d4R8y#NFv+<5gVM4yD$u zVOHDs3O6)2H3~Um30iz#V*Lk$cm&z(w(G@JO36K$XTK~U!nn_md@Ngk&OhNb-Y?*x&Vp}C#7BF@_=on_w4&0GVa>%n)k zIfrVN6y8SsTXN;`d^qkqZ90Kvn%I3DJQWZ^Nl%vNg()z;iv|70WQ1%9XxZWIsedw0 z2o7+eNMfz77$CygzOcl1VAkbOKN$J z)cIhBRBg4;N0!;B9DN0ue9jc74rvNowxwPcIES=VtS zzZ`+)*|Pej#Weq>!|ArrPV4pnKsJ)ANxZn5TzY>qv&UcG;}8g1l)6=UcNOC9Y-|7W zwAH4lWBvDFM*e&_Jh_r2OHvk~NF-|PkD4G{P#1bF37i{1IS4$w8$zZjuBSq@Kftn^ z%c~vRvo8duS@YTerNcbza-d?l=Wfer>ogu-B@V6^v5YC68Km*u3Ui@ng8NHV>Hbu+ zBst1H9Flj~8bJ5s^=R&VC%kGZT)%a*ulYE(D?2=@?}j`ZZN{EKq`!VT@A&OPdEY@x zb!F-(+gy>z1uZVdqRPlee`FfJqul;B*4;WXvC=00M-xq=^`6|C>12%BS&+0a2AH|rY zZJ(C(PfS;kS#Xv?$(O8m$jtc|0{d5%RM3Zv!JGktl(A@85VSfJk>mU%3Xe&fO8a_q)vB) z6G4AIDzk4k+a#V@KtApnnFN`xW)*9i{}H`l1^XeV!LwTn8f3vY#Ufr^h`{YA3(!bQW%Xi*_!2`_|iVzA*)BbIS+8GB9x` z<3DVltR7O%@~Gg=1Bt|hphmObbJti2gMxtAw&!Q%5*d@q)Bncp=&}3jzy4xG1&XB= z?>mDQWUh0KiF??Z1Jn0C;pyR{W;&@Bs;$163Tg`8Aj4OA;HoDuo4jNSALp2V%}8dB z5SOBg|K#-QOoW?7pJ187VfEdr)%$tcq!T|5s&IRLL{D=BdF}2+49akieerlh1k9@>qVH;;=wXgg$O*7=C=jyI!zI}&Ye`UG55833s>m3^P z?6(Vtk-YgK=f~MRG5XXsRL7|Y|M>M=74h(9%dW{T^P4wd&t^bM*HWrP8Ep7Kr5Szy z&6_v1sI-2rFbA~2>)|RVR(K(atZOjA6C~hCgAD5k2geAqLiro=mLUE^c}A9&mcE4R z)Yi5wVz47NNS+l!o{%>4lyrIJQ&JW6I2_rKx|u8a6DT=Szu~x9QI) zcj((uu#MKc!+1^MqF1-x;3;cv8abxlMlV*Rj70@#*)?Lmc|KT=!<>eJxyGbDI7&%&!WC| zOOKBu8S}VvF6E6JYRUkODOge}zR zQ+Kkpbnj=QL|aR}s2WeH%|hu9Nl+!eJ*Z5O?169LW|0+8DqF1E-!aj`%zV;ywq-ts zTQL%9_WQVKT{-DHx>-9{=Qy<(m;H<~3%<^)dgzX{S`fWLKl7PHj~-5drLuJ$^}TcvQAp(-umF_A|O@z0Xul z2tH_cQv1JEn(wxBVL$A-OflBu7@{DGAVXZSogF`tsaFD zG%iLCR+mJTEO>Q1G9DH5C}Eh&(<$uO({u}SI;*r+u1*N`7)LJsQJ+ad~l!X#&{1tta)w?+WCn+yR2n@-QYs*yYR>L zmN3T4ypUOyp@R8kx{U}JVxSsfFjJIwx!G6LL2AZ91uc)Q$lm+Zp4pv!#8DC2A7LQQ zW>OslF_B~GA!k6%oEPO3OUYA5FIOSAbeN079ph~uy|dMMG+4QylMJs>Ac^nxu1DEI z$tL<lMzC&EMQtEI*pB|D&hh})3HfLbjMYc2b7be|13iaSa-=}w94eYw#hCh<5 z5hB6_fh|RlqibaZ9}AqT!Yh3t#U*)#5m^#uaAqNo1zii_6X zRC#(DAYq?yp*o%V?O^P{U{0Hzm@F^@q4GJ^8n_~cCw!?hh8L@cDHmpnZN~?*B8xD* zbkhgKm^t{|)NehQP&u%h_^;&C;g7l#1EmO+)%g3kxt;^66E>P#G1IYy&hczw^cfuU|9g#Q)RJM-o-i&l(OVhofQH=gvJ{5ab^+|G)`T9<=WC|y zn_|tW;+~m{pta=7eeQh0b9GoFM|t?q5(bo)o)78>2W%bYH1?nI*^W&d`sieM@B_ zW0f8=G73S(%eCRJZk*5!)(^d|uF@jct%4VP%c0aJBXa5)!0`ZW4P`pWB4^zFNQWT) z%u2NR;fX7-+ByOHT9^nT5Ja;FI6YuoOK-Rdw({$>wqCP}!{>6QQER(!i;!Hba*Dry zFGYDhRPtN)x_}4fy``3<*d0L<0q!@nMfdI7vf(%}lV8>YamQZyx{TX7=S>)P*MrIkN^lkg(GH2SQ&u-(31z%Dh5B zzc4F+T6C^nH|}FTqgAxwAco$SpxokW=3fK1iZsXD^F~+f&hK>xYS*S#*G$(|rkj*q zSmwvIBb_Kq^hEgxdfg^NcK3%EC?#i_jgkM<1AbY2@=UULwo|I zRzB5`iU%CNftHN;L!Y}DkIw#4U)|*}PxAu5bQ5_t{4T?TN52k`uEpGs`=@DAv%OW& zQ7FBzY6!^b)?cXTX_{9wQMkN8CPz6TjwAA-k!Ly#X_St7iyqn5>(*ZWF}kp9jRI5o!h=C zkM!#dKKkze_W>1?LGPv#b@40Pxo$VK;=NC`vo7Q*+B;U!6a{Nd z4v<=-)|@FdiKzZ-!nMX#NQiWJ`bx`OH=3|DhdS zx}}_5_||Kvz8(GB!?^?X9!RgrBE|v)wPpP|zRitRS(l6;8l3F^f6$b|bY!cM)PCT> zC`-Q{r1uojlNF>V;JipU<{Hy~N#qwqywq33vle6(yse+E3_F44cyf-0%9(u3(e+%+ z9ObegcM7TuhR&vM>wjMN)No`wzr4uV0oGu=PE9^}F*$@n1j=ziZwE7dK*-2NzW^gk z8UBWFB2m}|6_k6O63O1}UKp9`K39HvdQ0S)K%3id^~3xQqwX;Bl(1&2mwn3pq`h6j z0yMX^+*~~Lf=;MyQDu4H4tw0X zFu^vj{Al6-e}^l4+Ev62Z(-|+r-!g~K2QJ9iTvI_%KDfj8l<%f?gTqXPOU(L6rTq7x zy|ehlx(CmWf>$6B@^YY+y3-xTr}qVw5_>HaY#|kLPcK@hp;$of-_Os}I^jgH1!8(n zwVRiZh<1bTPx{s-`saS7^W+ZVTyR>XKlYVV%%hJ{s<@~>{Gy%c5>>&j#df#3a%V)h zL#@T3OyesliLTY;Q}u5%W0A@COlzy?C-ukz9$MDRdwKaohA=in;$CoANi0#)wDo@&LVcv<&cX@@+AylCV~3&XIA`@ciR*@F0^ge)oH)>v8Qdyw&2 zh3ai%l|+hez0`M5wQE{I^Q^1saYu{x3}A0+NK%h|r%B!lxrENx`i9l3KM9CB;0y3Y zm)Y9-kMB#6TeQk=-i=lpYXAocW$S8{#!aM-90%?qLJntJWty2{7#+W3EKh-~_e6)V|0@Sz3h8>x-O0J?V zVa|Y+a>!reqVGq)0VFxEiaN@^Kf4h25cz+P6m$?z4=XASH4n1tBfpzn<9>v+tYi#u2?-$ zVBrx_pFigHjOl!-U@zy$d&CVS?;Id){$p^EG?tza~xe z$6KyB%%v26{ci2FNboQeLfBgVk2v%>l7b=Q5Y{me;#(0fBN4deT$l!5EFlwHIk$E{hMyE)T?BCy67U^?KmL}yk|9)m$u ziB)PS-lGZF%Bc!~bqw^Kw3$%mLV#tL)n~7Rt#XAHUEy8&i84{w0nZDRMs&knDPFKn zYM1*Jeb*!5uf&|?sT^jEf2!!~FSU@HQ1F_@*h((V4(V< zk;q29P&_j_$7ES*6~8awrcyTQPB&G8&va=O5GOue`RnH+Hb9FydR?4TQQ5`>Df1WfaYTyz{opS!IrY6~JJ= zxxXcG;O5f6EHnn$K%3e-`CIIEoFjDhH-;P^^WeE|LnWwZUUsqG2-U+)Il2R(Q8;$` z#Rk}UoOa1?q7ey3OR7&N8Gxf3AdJU~fayC!=)P|1HW}B3<23NnZu+#Zj&w&VG4q;0^N00z+SDs z-qz?&Rzui{YhOE*m1b@g|M%tJr*ex9b!X;&hj66!#IY^B zM;VOHz=VzN)d^U2pch?Z+YUqvK+@c6Huqe_w{XY}d`IsbxCud}_m@TYYT?*M8WY*c z)CZ~d@KyblO|28p*>dE}!FsG${{bV3u2WzuLQ%MFmJ)vnWO?sPnERKC!5VK^k%{D7 ztYO#Jd3a^#y@PUL=Kk&azvC$U2I(^E{*ZK76HUr-#d}ZZ|8IKe>1s6cum=n-Kh@97 ze(KCfo5%G;+4&bG>%kKfrKcQJD}aIj(g9SAe6t()T}c;R0X4K&6<|XKjlUTI^vunD zT)6gv8pe5WDMt;(R`ut@wAG&8 z697_3Ibd$&RuKsbA-g(%y8kjLbih6F%LDwG`dQ)(ZW6kZl!v`~Hrd_Q-t6X}Y7CGd z18V7IKR2No7j_jkMj)&>NGy0sawq)&^D`xk^__G+=~pcC=VJ!6*Z zN2rNV#%wZn&oX3uI$599D>*BPq(JZ-e)N?}>-RDhY>|%&{~t0PzGHnd?SDsC*a^-^ zZ)8?!Ylh1FgHL6Oh9Me@+oeHNTNi@m8eBgE(iOhJNXOwXtptwDd;wgFeAUx(PXqr+ ztt~4*FB9;ODp<0-*7X@at2}eSP`wIA6cyj&{kopgBL?m;?Fb;t*xz{pL7K- zFCbq2t|0-Z29|Mxvf}IVSY29*(qD#mDg=3+PSOM?3#tylf!QKCpuqvE>CE(H=>XG> z#ddXYJanUZpd+FimjK5ja6+qeLMu?P&=nYTLEsJw{3gJM0ij4U0=}^DPox{Y^ihfH zxnPRHv4~y5OV>&Jx=`dok8NRTK)jb0pvsxCuU8+Z)@DE)^-iq7EB-gd{J+M5UF5Kj zp=rj#`_BgIo5971kn{V~d$mY5Tz}}`om;~sc%xq50}1IWplb9%c(ub+dLBqo+#5ET zTtD}aIN9m~G61ssGoAQT+(F@z!<&Fu5wCp@abWs%1}GZ;uD!ut%b;mnPfJE#1U)pM z3%f|C|K9_BG~go2JJji-2to!FE@;TEgkc6`sT~O?ZyI{aq9rYK7z0k!9dFMby% zV?Xnvpz&$&1nqpJ-qT*; zkPMRU(5m(;8_;TrV5juss?U+qFvnjmFeYy?m=Eu{{r?&iEPR}C=^L0tHT9**(e(s%u1FL!s#;XjUDbB!^-DSqy`#@Umj z8#IPXV9HZEtuY7R-0`#Wx2a`1kdZDpMrn2c=mXG|V*8Q0XAGI1I^JV4Wm^sqR=>yi zZwy&^6}>^9Bz^#^tmt0<8whZ3T+@;G&k_6-&^Afj83ZIM(0T;xTE62iRf7pxsQlM{ z;K>BGyjP6?xjo=P7X51uE_Hy0XuwnpZ1LHw}$v z?KebN9QC7P6{})nce7Eyo9Ay0UO~D^EHE5yZJbSv-`^4LM zZ#`UYAgcN0MM_DyF-0=z&6;=|H+K1cr=eV8+~WI!HscwdaQA_+N`rw+iRb@jT5>cb z=zct-odmo0f#KsPsmNr?TB>eO&KwKZGVvwU`%n8R+`fVRtEg~F+)tn! zL+Dy!CCttIi=?e%*s5&j;MOflhxK}~*yz`6-J>_P7Glor8P0ACnxdo(y0Skv%2z!> z7D6pd*-h*7R>>PY;kCk*;*NS|;h*IG#kF8EF&D9WGsr==3T$tk1Um>t5&xQuxVX6T z^=o?>CN7Gny35Nt?|7oFD|G2>Luaf4WboSPn3#J!EdKufSY|aekTMP^REJ_JpHBJ* zrhz#m*GkQJHjEnCSeaWexF>zsIJ@10Y{xQ;aykr4SEz07Ra4#bz^&{I9 zOROzA9bPT#SIJBJ*~hC6d3MGmahunq7btAmY>$^ZKmLVEttwSmaF#oh$Xy9@)rt8C zV!-8b(}V-p0~N2)yBuOAE0Qx(L18fjvIt|+x3``rC3G)DA6HK^jEx$0j?=2Lkp=By zu%A=(V^?_g3GNTzr<$WLs9^bg`{6T0@|vosOHhM-Y;tfz-(%pTh(oBUseSqV8@!-_ z=MyS97()9VV`lU0i*pY1K>rR<79(b?&KFbB+i!;!%I7)RU?YXKN1Hn^HjA;GZ4cbP zGb=Y8U*rou z;9))*Yg~(AYqb5P;LwG;yMhO5x$Cl>D zRvITN=;lrFsq+5bk1Q@T%Efzi6%}^sV|P?i43tuO%+41to!Ze5_Ir!LY7_~{;|0l@ zZSX#>AU!i)tdwm9jEOr3xO{Z{u*k2#v`p`jm5sj?Mp?J1$<;maK?!^t%Ycm(XUVj6 zlYIBpkN5r;>bnFEM(@l85Z}*|shSsdDvazlFE03n&Ak{z7ch0tH+!7k?m8TMIZ59Hr z%PGgv`uRTFGrW_8#(#Efd@&C$do2W-=H*kb=#zV+(Q+Vl zD^PQ5c93_;?|}$j6JgJTu|+^Ej}tw&5X)r}>^$1rAxK%FmkE9#;%=h zoz=2k`+&~ZPWHC>88Jgq7Y9+kr3zDn#N{Y>pD#|)bHrA-PhlwB6r*B_7-sBN{&rD~X)p>0OwQ~-{%1k{O0Vr0R zQ|O|D-ir@h4S!Q2RFJJV(;+Kq&H4_kX2MSqwL_j(otV^k-gF90W$ zeh1#AQmJ%K_t}%Nj|W*kYyy8OOgWI|0&~E+x;lN)QJeJQj{d~U(Gj-W5S#|AE;K;4 zS{OUCQ43VHz$jHfQ1JKkG&4}40c|Zq?Dy$}?MG=uN-n__z-UlMfLkP%Ifj%#vEpfq zO@yIM)AR9x@TO}E(|G%pjnTS=Z@9FI14fq1BmAp2s;+Kt6=n_B^PBj0x+WU_!E^Sv z7=Z`>wnkO!K&^RVKdAZBQ|m*i!vV@ME$Xl4ga)P^R+QkU-XBerkXe(!WNb%|c}KZ~ zq4HdAi&DaP*MUISx}=v#6w7~k z;91ZT^S;`?lV)#B@4B^=%k+Jt4RIm#Zs9E@1(c0z+0^-KZa*Bo(@}AKvL3)+fK1I| zh@NV~`~7AM9UW}# zdNJwLHAjTc>9w~_EqKZ^gdCQIaw3FRV@X=o5d($Ul3g*%$aWv3qqXDgwBaJE1M;p$ zDC0T;^SfcKoJ^dOWNqx}+fjYU;Rx@!1@bDLxmT=j*onK0^Ct$iR zOT(n(%(c;({esW)Cce8o>vfUT-(fe?v1Nag9P7sRwlh$O%KXiy;o0>tp)hrKY zcH&2;Rs|hSDT!NZX68RwNXG}8&BeyycY`tSYaKCSBqvn&T|?|0*F4w{j4(&Tho+;7$^dW0wnmd5%A1dAnHHuxFL~z? z`nUPl&Mydy2Nc-qqUw!&CJ5BROsLO-g*N@_}71QcltV6~knMFjM^oB8tcbPk7+b{i$LnknlPqq$pr5C2aWEHu0bk z;_o($ZZQcmXwMdD6BRwLjl)CDc?@y}%1zYU+!n8OB0*jh$u+y)#_~?$bOe^~3a=G5 zbb4Dv9OqN)K4nIc4#`-U)6GrQe>f|03Fd0d13do&X0K!FhWqQV8YMYi<v^JuZO!}5ih` zhciV{K5mTu^+b&o`4N(ud?NcDUJ1NkiH143C+#RVSge0-7>~P^DywY!O(DjJyW<;} zBEq!9K!$e7<9Bz$@=WYZ2U7Km_=p6F`mFLnNFGRLOBp^IF$%qF2#RQes%*-NAGMB- zD0w%pH9Hf1IZF-B`SLle?5qMDb>2vSpyAde?Fnj?>mrC0A&cyb&xtlSpRwB${ z1KFaM$|QS?)aOpFoc!6a1{F95@0_#1{l$YkPY$2G$n`k7hH|a@5rkXY*zwUL)`2;m zswWfezUl@u6zHm=v5lB6BHGt}GZ2Fl0I(FmZD1PPKfhY@GB@%rS5T*0uEs<@JlE;! zvOb|e*POkJ77X-T@A>kWLcch^i_OM-tZzCW-QIsdTA?bOj|PNPV;&Z-zd0`{7N07; z-CJmp4@z-Yx_gA{@|M8Vin+CQaH{D+(h7-CxrT@`0^lb9FbQ9;!lrYm_Gb-dW#K*0>FvYm zX%X4+R%TZW9(a7Yo{(w z0*}0Vrf)^A@!NRJschiRO<~q<>-dqBanig zQ&)o_IynQnlJ~H`-EYQIl+p|b_L=Us#8WkhVN`KSBnKQgF91!>TY@uinZPv`1WvU6 zU{IS1ZeOU=dps+GS{5=_OTVw`IWWObPZ*}7X*R=uYkr`foZ#LYpV#~* zAHVF~sHQRi7;J_$Mh3TvYoEx)nRkpEMEHpACq7o)9d^|m1I#0(3^?iluNzi|* z-?*Fa+cS^WHUu=DWhCx4AEf*Pu8)mL1=go~e5-@EqU7O-)eYvk&9JJ*f6l6`5Q*IP zbxpVBWg?jX4OP@Y63Up35z=q|CGK-I1*g*~&MsY4-OD>kD`PjuDuca`Ak%|f4*CU7 zm(MyvGUR1X;?`rBpfEm`LiVi0Mbjj63!x(LM&|44dvSM_Y+Lcg~WU!I&U)ondi@6zv!09`9pfL=K^|sTKP^5 zkC+c+)c7+8o>D$I+eIM?6l(p!WGf0?rxZeQ4n0~sVjavl)ai+usQ+WIJxaA-ss`Vi*fqV^#JrP( z>OciI4Aj%w{=(Ql6AfCRD+G>nQew^LKw6nmJqa2cnyCc4h|#U9zRbfv@R7$EQI6F% z5{tvN`G(GDzxBZp1RP`xNK~w-C~bU{>YY+5;=*H=zx~nqn4$jf`}BS0^u^|&w(Aec znikQJ*Q*7RVm(}GInpET!(I>W1WkjbB68k}sklJz-8?bbtXK4onplW~e*>J{D{8c5 zPd*?ZB1YyKl|0Y$H%3zMP7U_OWPta!c zqemAvnxQyIvVM3;bO40e{-=SAN6M3S!v6ks^K7fDan}_fd&%@HRlKp2btvGia@IFg z1vxzh|5^v}Skw9SI-?%Nm2+Qr09+GbxMvatWN00>3s*ys;sOm z5w@ha**w$pE2Bn$84hlNT+4X80-K(aEU?^9(CbnQSyzH8;Qad+(%M87&!LPs35fq0y;pmjYl|ubDsCND58l-Q-+-#UI5f+t+ zI$`_(c&D2vj`jom^0o#7&|Gr@ikJy?K!DW`D@Ug$$@W3YP4+N-a>V;$de zIL$#eZDv}F*}oW=X6Rv1usMqchpEKP3e^eYNjENwIDDX-x_k{wfp70-;+oZ&1HnuW zm)!)4x!8i`*fn({Sj(nH#9%dN2vG|Qpe9aBm7aKK126w!Xxb=wl!4k*m>d&k*Vrg& zBgU&eB{z4N((m8Y@C@rHhQKDNP>J(3EdcI)OnDYY;dW0pxoOI)mBQ)0U_ zyLp^PTn975Wr5SgZ`Z^|l~{gxTqVAN7*LGeN)~P6Vw15jqW)49`@bDFK*{Q2OL;g{ zACHrzsn0wCrrgFn)rbu-|7Xuk)f&YhjM+R=LCz);rkQ-&VHZ@qK1i?wmnjA?f+YlK zv>zUZ%tv$%iWH|{^Wh-@b^(iXzLCG5zA?;+i_t~gk?cU2p5yq}GePF`N& z&Ozr;OxNG9%B>(zuMSOkOBo0UvhU0`u>^N76#3io!`xky^-JQn^t&D?0 zwlCjY#BibK>VFQD%Bl5#eqV)Nf0YgCQEQ(F^sTmFj*o;O?m*Z6U;Nz)6bFGG-eo)#c*u z8d$I@DbhHP-~xwoEeI?)xzr!8XZ?AU;7~*Bud$6+w`&vID5f&4XdkY%wETS;w1AZ- zseW;jl9r`iT$)gSxLBD6`F=hPIZpqSoP1xeuI3r39?<#-d>6NFjaTi|D6-aSeo(7P zUQ0^=b+R^WQS_YUp1q|FG>nj)%wAo6vl?rpqkz|1SYW{R7Z@+jbT(zlkf~5bx2Eo& zS#WOGPpxq2NG4#0q4H$>HqbAF)TEx)+rNMB)qLc}-&Gyg*!q8Yy!!n#aoa9`2uwJD zPOG2EhLx4|Z1f#aJwM{Yt2bKt3!A3fVxk;0(5Zt1K0B&tZ+jmmdsrdMv0|-6%Lcy^AHU1!G)x%uC7;lAEk4* zo@#lZ;B2R-oN4k*F==vV=PUr&g%;9VTtZjY2#8s0TC}xPId&Sb~2y zH6?rhg|y?aBeB)!iSoy5#~79vSG5j=o4Zg;dao-K?o*Xmdhu!%tx3;~SuCL;cMw^c zQs&9CdPU?CGXKN{TyBiAxB=}vOiq|lMpl4VKgBt@SVq?xD~H?nxSFDyXp)@wY5L|3 zvYj>>IUFLwaCv0V?OUZV{EZYvg-2j)WX+C>=PtAr+!jxw5AZcw)Yy-E(9ELiOif_fniX^g0yoY1VaHYXF3s2aW6OT0#`W;h%X&p51yGw=UG zoeJ(=k%6d;E;JZc#o`sBKS^q0m*=k<?YxD0}DKOdKh?Nr`HZuN#vCy;QI9`lQaasLZ=d98R=4?DGW$erkm=kjhWwNBU}Ea6GW(LF4M#wu30|h_$qFKV?RQ;VgAhDV6caM zKi;^t5GuUuH0geLW_1rm%hM@OF3fgK5{Q7UC$kT2N*E*fx(X#RX3%v_g_0ayqs~jb z#AZAszR66e-5WH4 zpg9A$wwD10s^Yb%Mk7&&tiHQZT-v`oma_iz;-0|C(s9og^xEKTgQNAWOJr}qlz_Jq z591}qyG+Uy&Isslk`Ic>L;WET!o;cZsM^rvO6xZiF5;zUhLkf$Qs03AzFQ9+izKqX z>~yLaouHkiqxs{7WhsL>QSzvp^p3KS$3wqKk``}34}lT2IKh~)lk%v_6&kv`xVT~Y z#iAcGC5xvi2@=YkWDva(r4mJEEnKp5 zv6qJox`Ch`jr}RR(3d;c3Z6%M%gbE3_1o5YbN#8dF>|(hSHy&Mvikae?(pvQ=6xDa zBZcF@PnaataB+WJQ+K~uSs-|GAF>@8t$WYFD=%0C`eT+49!Vac4U%1@%z`@Fv-8As zbv=%KaZ%#N3tTEb#~;-H@)NsB1FK{SqvMk&^0=2d1CoII0@^PiV<#yoQXKXe@>6@x z5LK3=h#OYm!@osbrhSw@Zhuf(Mnv@*9dpQ&&RK~}`DZE5YYT2@M zBvNmn`fid}7LyuwRWSovoBd}gm>OygV*XnItYzUJ_>95xbQ$-~wii3yH|`Q~-+ZaEXom zRDY*tb6E_ILqR3#{OPAu8N6)7MBMpzwG8#oPNUYbZqJ`ZvQ4W=bR0S*tiiC_(Zsml zhFaFn0x#KFI9B-Z;^Zk|zugVW0W)Z{_6)s+NxPocPf|8Wh(j8moyj)fff+Zta>0kH zog8#z(H4DXmGg*YfeL=nk<*_vW`0i9uOb27VS~ywXXA#Y1mVx$@6C8ij7b<&$YhMH zTM2v(h7ep7)yj<093t;-TSw20NcgJ>*_G>4WW|liwCQ&4u8A!_gXX-a$Fcf*WCaVH zD0$6!SZVo|s3&wd&!b1sNVKf-!MB6u>DJsB^v0JZi7rVUzxNVC^6Ad08>6Fb?y>G& z_pZ_>)7^-jM3QV{jDOh55m$5k7%4#|WN<19^wcu;ERCpYY1h2LtfDTbPe1_OiRRj~tSJqKi@i1`+q2 zJI&*A)nAp8+cw?z)t2vbzxRePq`rTfY&IRD#F8hv1FX#eQyv5k<%V@0QpxY*MZr4k zt1IvIIyzZCB)Z^2qbT1Lt|)g5N@bvBIV1|4(IXNoPP;0VXFpUAmOos!`BU+BO2xkH z&A866{?+kk#^rfRL-6m&Pcrg#Ib=ZJ20%CXi7}6)=e3j`upPy;>$rjFLW#5RFU3up z){^t!E@&^9s)8`?xF0<=4xz$|8Emrhh2DcF?!0UsvRoEcd>Av3;c(cgJ(5vZVl`;d z4>$-S5!q}5R#@VSqybI+<7Qv%LrC#njFSnAG4#`&lJcTyD^yIsnJ{UqXz*Yfj2`6m z8?t!b!f)kjKT!KSi^670QduV7ZoZu|!9DO$Xx_;2m>~yf*xQufHN_`?Vm9PgnPR## z%oOTuB|7UPsm~jmEH@JZN8TVeyc?m^w&pf!;XTQk1W)Cp^DB19VzCssF0hO%cCw@9 ztWZ|Y@UH?#^TeKqfOC?&vh-B7H9!M$=}7Hi0|nm1>0Mu<98Uj$(CI>Xn_%P@wESV; zfPj3u5nF8j1yHpn?lI%fP(qIgK0UN0v_tTFdw$RoRQKG2i)(3l*rgjKC2&hf8PMRi z(7O{k9Gu=C#UOC4~E)Mw$|G z{2D)OFG$DonjH8VDT7FJbzJ#phel*NB=a{2VjX{Hh+3>CI~#K>6^mZDcvHh6 zW(%}NJMMaY<^8^Q00Co!-AJx``~s1h_nniC371oPOsusC19QHyw(eI`=7OsydAc^u zx!ioLw84p= z#vy8a&%}yrd{03%t+|8J2|<2zf8I{d%Y3-s)-Tl5->L z%tevDoev=Vd(rLXIqdh-RAMfXO0N&(V5s{@(6^8b)5|TQcm=tpni=Og_xB@~ zrNs@*&3Ye}iMr;MsY%rEiPF=F9pX%WTEV+`p~Moi5XWrkqOEv%u?+ zA(5F@Haohekv6prULS=GI83ju?*z(r&GM`APVCxX%4&En6LS{R-*U+1LWh>jPj5t# zE{@l&?cUQnef$`}X&8Yak=(;G*G=>4w>_f%;eR)kXx&@f#GSff^`m%XO?{fH&$t@+ z(t{Z>!(Fa4O)Et4T!^e57}$i+uja{152Lt{WT6H^!pG+Z(9AVEij`UvpRg4n( z|F$s_jCK}R8#x(4=N$_|<15Rvh6<(V(g;ik#-Km^y{*r?%s)Fjs`0#lzB5{n08^#O z_UH?_@_G0ZSrVOW?HeW*7QN)Q{)h26jHA?D$x}ȚNYo*%DNx9pvS+H^MYK8G9 zlVo6=)?R=u2#Tp6dIJ*5zbrmTL@L=YJxQ*!+)V!C4l87t%5a`Vg|a_Y}-;k9fOLD z+;Q&}WKaCd_7(JO!JHh}Q2W-6i4-~+>1!_Ibq5UE3tY94nt1zPIlig_a=3F@C!#n! z3*FqWCv`JB3p`sy>(=mpOkCIs1pNn)=pZ;-BA zTd5kdbwuBosf0+&hRS4y*&y@zd;wTy0upTY-Zi=QniiZcf|Hx&J-Yl}e~jsFu6?7p zoQS!9M!Uj1V(rlwr}m!5)vu40Y~~T?R~+amBX#|IT(j^2XEVnHyT<45pDwLiVSk;OzO`PA=yEpoB4B#K%T+9oTpV6|PXCpuHhBbk&E42R4<>M65} zvu6QH03ghQrdp;1xb^`juXfB!&u;#wQ)kIr^P4JOI^OMyZZQtrsl(3Y6Dv8|8M7OR zSQCc+y}The*Q5|bF1IO=1DKxDSs9D)3<2VoFN{E10#b_GrFSU_s>eGW*;_!PnQv{% zKdwV0Ez5r5=lH+&836_6YzrIm{?~L(?cMRlvIca%f(CJyf!<)@aCN)!7d?6g zOtVccG_eHCEnqX6kQ@OE9Kw#Sfe~O1&^65`xp2+~i;d!v#Gf%gTcpR~V=T)4Wi23; z>r?a{@>^(UwA!;Gn28FzqutVByeHm88}K$3Q@YY`qXFp8MZbPV(aRG`mhsr(J;-uuS&rL10s7G-}a zT{^TkDvY3<)Gj-6*!6Yv&qeJvT{D}FDt7BQl1g!&+z4R`=nV?XIFgyPBi7ZCuYkZ< zR^Y&vMX<*4NXMtWj@>P8EF>YJvXWS#9Bt~oR($zt3wTMYmY7OD+xc}nuucA z;3*OfzNp$$I47CcF)N}xZUh1WkgdTqT~d(bR`I#4?8U<}1m3p>I@u=T_VwFX{|<>m|nxiS|>GzU=w_}=Uu5S@bpngJ|3lId`W zG3Q1%yGF*vs_AL*=1DPGR(O5ud0_Z_{XD2&!5XB&n>UInQV-5ilzWFj4hqmPR5V-h z)Z`QtM(eY6wwB95a8!=CPTP~wTJ9;VG2)fbZ#|Z&PauHxVoJ2}A`8)rj%A)Es%4lF z&2MsIzoShnuqaE(PA7*mc5T;!?j%rxBJ-Ri@y5+}ANc(r{AQ*F>P?uO{C?c~ z(aKQ@n2yPE-^n^NzqK1XNKW-GfI7FEiBXfd@#;rw%G(+}J^8(_*$2S#N4$*Ivh$E; zYMtTQZtGzAVdG`SJVm>zEHiXz9MLGp)GU7pV-@YmxdXu)I1?SluBKP@W{ltRw*SlU z!K<_84eV>3UiK3LqPtB8n{1e$DCsWCb!6q;H^H;=1>^pLPf&*k8|Yi~Y@4~daZ9-g zzg2Nl%V>1eA^71p<88!LHrS3We(VXd&+hyxvKh2>B2>7-Q?dMnknHAP>$4JNN(fzV zo*>=%mOIVA?Bi??f+1RVE;&PPAO8}CaXv__EXCy!kG6n=fL5pntx2!c>QInBptB=i z)xjGYD8T!84T%2E-e>u=Gqd)S;2SS6y;iNLNqMDfDg>OM=xK!lIE7*lZH&1S6;5?5 zZH_wit3c+ZwrUVV@pH1{-F zB9z6D8xB3=)}hF92Ay#KT-y4Z5ido5QM|R}F~)2cSkj=avixXOh;Wn7NLvQE<+_G^ zT9!HP2$Nc4K2cF6$pFTqzQOTrJP9!Afns%kxtX(~mnkaZD~K^Q3%#WP4c?vFmC<@H zABW2`*5EZ5Inn#yN?)lDQqQ!Z%I`4q?d;B$hR??PI6SzKBfJ{%O=Ja84?1$3{4E}8 zbf7$$h2pRFW>8YuVLko%?i(fih~OT}lVgpmgwQ!PttINUW@(4h0;8kLJM<)5BOtf1 zaoh8F@cI)5R+S%3)FmS54=Xx0wh2F7VFd+B4J3;J%lF|wDT0K#l58IGN;*#ae&5Djx6CCi=m%{goT|IlK?|Xl&yPXuw-`m0dJ0m|6e}lO@JO7pa?mI-}JHd zSwJs5u^(5=AcPElzg?XYJS=}KV{@YSsPP%{>}n2*Az*8zX7hi{7be>ul!)PzI~+$$ zJMbg7gUX|I;xUIk&*tv_&8geg>@r;q66RS-<_d}2sTh<(P2z}=3=%&&SbkAEUF?rf z?$_#f+!HxYkt4HKqJ|Y_^&VU6RxN4zSEOJwKT~4$6`AhBTNO;CDE;Z)i)uG|nZoO6YVqdOxVX!7p_!Uwtn1yko^6YQI}7qj}X055}gi+B(W6EdK=`7tgGhS{@TV%G17>ty#b4{D~MEc(lI~ z^d~p`De?#FdU1wX7%4<%HSEz76$t%4@mhbd!gRQ5#JF;JZ_-b`L5Quh>rlg(@!ng0 zhlPOO_xU%JM@oB$pBR9$gH-h#wva6uDw=f5XO1W!_0#va#8S{XSbB(XT)6jr-rImf zE-G13h1a_(CdQb(DLlcg|6WBjCgFM1R78}i_sJ6ZT%nXtGGvW*gq5fYnFyPDKWEdc z%kvsGv*0aI_Uj~2SZ&aJjI0e_uiLa9R*XJ@axVN-KGi{cSZgv6%MX-nFh z1CxEwWvI}1oUllL!n3`P1k)=Zqy!Ui*8+uz&g@d{JOE=@(-Im2-+vF->1boGBt<+5 z{%5Cd;@%-T`vC`_?Vj4N(+YV;fPwh(_$quTIe8`I484E2KlFqZPr9CLKSPNi9@ex8 z8&mEdZXB-ZgdI_igmardO%0)I>_el@m>5hb zPr@jcLwHUVP8i&c-L{;ZkHx-ox{jq=s)&OwrS zv$r`F;HF`DOtk5YE40Mzq6Ja37m>;_9+xZ^&7n0HHTL%ECEMlVWcMJ zM9(ePZ6CxA+oWhQE97?-UqnyZxHiPsEI_U}$k3)x>Tfv{|!E}q?J#YYVKb-P9R-+=W~v)SwCE`<`( zD-KGQnd51Er%pV3_ADVJ#z(U1oe__2iHmxI#E^YT@St{*8Ghc%BHqVzy>;3JD((+< z;?;r1`1?Sebt~gLbF@OKp4lCVxzn7S3PR`s@>5k?n|nHY_hD=FIsx-FaCX2Lc2_)lbi~#0)KgY%l&|oI2ZJbSgYA^ZtQQ5iUFTV6=YD1ga zgRT!?0zDJ2&-@gN(^XH%%DM!IzjQ|L`%a|KX*Fy>(p@s5Av_~sNp(5(PqgIYUT4h5;A!RGnxI_k?XHR$I_rEDXOcTf zV+i4C?kWnrJe&S-kQp>=GxlvK1Ew(1&Yndh1y~%+a4xi8RSc)+3&$?ni(% zhKh~0Mp-B%>I+{{=m^hsYEcsBt0+gtHOWu+ z5X-*mKSxIN*OfYvW0oEr_xxqyaJ~m7%G-fMFP~yQ8h=|yb9h|&a9~2mSJ$)^ zjz@}zQ5v{+Fb)nPh79?lQyr^O9om5hDUKY*zFQ)Z2Md3bjtKUqW9$xxuRpk z(ikGa$7wkSbkaoxskdq>0H&uiFu*GI*`5^1GoJ|G73OJe*$%-WfL#X0-yo%e3lJ0n zxg=bXg#%VKT6A2hsk}UGq&?dUFoeo}K@Toh5T$3<0XZ4$XaOwa^CK>b9rlmFv??uG zb;cdsl3>INsD~i7fl;cYci!Bc#sudfIB5UeKgL_XI0HJerY#txrgKD{{RN@>#mA_{ z=z5{y&Kp#M;xn(Ns;buw4VoI{bHwJdjDtlHG7#EsQ>g<8c)D5kLh#dqdW&7wu%EBv zi5vR&8CqNYp*`)|b=6IP<-9yL=bOCyV|iue(aI^H2>PmP3b%j7@)^aw1GF!P6Gw|~ z{AYKZwb+A4NOF3Ayp|_2*akfR`0+```62rNz~j%~4O#6QprnFAER{ptpy$;|n<(NL zx_rVigw$YM(?aC#$?2MkI`ed4`{1C)>Gb5}@$W0C$R*)@ze(XkW!p%lhS=;mu?Q0r ztbbR75H&?#A1f+HOHce~+S2x{p7De14hyk4aB{$C7I5fd4T2ryc&)eLm>emtUkRHUu?=*J-BS=BnZkP_dHJV=xKB7Wz<#rwX9TlX0?F8m;XCt(VbuS{j*@z%bueR3L2Xt ztEp5bVcMO^Un@H@iwDXVvoC~GkZCx zg*OZO9%pYeKqE{Zmy&WiuNla01SlfSwphCk28AiaMAC zT(252z^&Zocb=;L$zd^bb><3g6O7qFFUM`~A3_e5i;~81t8GHOH*EVJ%e&Z4SOZW0|G>Q=>(R~BkU6KmH?7x-9@B^I z-F7V*;_Lf!!VHiV@v9SumLbBcyhqbM`Di&=SDQPA*-*QfD{`dB!CHoUX&O$G=N}E_>b0t=YhNOW@CdJbxiryr{T$^xYU=!A~}x>2=Sl7DU{o0;tQgb^c6& zm$?hIMf=mY>Q23Cdi$5nv->zXS{6}E)5;Bcq+F0 z5!8m@;Q*I{%Tj~!P}Z-%B-V%hw!}wZ3H?H6t#5(ni{KOY;9{`eD)Nd|izcz(d!A%8 z=wu|_YoFg%u*H_~BpG?$;C(?f0|%}ezx}Jk394H^sGMkhf`0FG5)9W1+YYG7|JguH z1FoXL=~4wt&ZAAKo0}u-x2Ij$u%D>=n0(rOpaD4HM}grBANY^_a`)B!**)sj!A=zV zvPGKFc1s0w+?qk-sBtngtYhpX4HJ!TgxDBe+>l0+V*EEx<*$iMCB@kMmJC>bWV@!w zRb|x7?=cCfcIRnZsnO;p;ooKuHPx2S(;|ecM+ffaFB$hW>YLZxKCZ)GO7 zIxHoh_XBSxW>;~>;yEevSBdlukL>q_s}~baZx<67)f>Qb$vurI}YbCZWk zcx(5X3gSJZ+XAJMb2g%7MC;XYshB45L`f9%jHOmRa7@<=pVbpll;-%BS@jf~@G7G$ z1ohUh%{jbE9ox=R2P+l_4ib+ivEPy9Tet;R?__#sOwV>YokhIXYjf0jf^%=SUU6#i zE63uY&mp=!U6J~0CJlxb>EjM``{gk)&@Vfz99SIf+Nh??O+*TXW zQ(+l60~N4$%wYWiTbK0s<3_}OSFGP;#bg-&^FmymB3Z(CU=6!lukmFDLTY89dwN>SE1G&U1k=g`OpwlIgG?a7&J)JJOosIQp$sj-wb7C8=f;#9<8?I zPd{SnhNg<33Wk}LUb~i3G9m&A-xTL_+OKCtV>yisrA?RVoo;2|3HN#2JAVH;=p7Nz z3gbrpzP^vU%5E#jWwn8xdM*$2rq%2TlKLfk!Dk{Uc)STk8wg&aU(gFm2MmXK~&%S#HTW`179hppWTN6SCYVLD<3D|Bp>P zY|AT#oz_XitR(gbq1-qn%_n3jE#aMPmqYg@s+sNJWllD4ws|f!Yp}vIW8!uznegjS z_W4|w-sHVQwBYPh5zEa{r=tznPVFg!J(=vwv5ITe(Y<+cvP!gL5?a#|zzFbsnAH-(OTQn_YA*1IyRSJ9<*5|7G`4ySD2rK})G@ zJEQ@v#BW94c7Y6Rb+KROamSq_5P2&MvX}J`CtG9Q-HzL0Ew!)7Fax*Fkfs)E1%b+6 zCmrysl+G8?iq&Fg1#Y28GyBw&y|d1?*WK(~JZ1Nipr5)&at9Ysjsbuk07bI>U<*&I z_&`gyq@jiAiTQ_eC!~xAx}6`2&9fJ$*s1;X8)MFF;f4zPAE1O=|LGhWEVb_MT6+1#27}=uS4sJ{+T-&YTMJ<5`qU3|!z?NR z<>PiTr}-Z}(|G*rE&Xaq_GXFoIAz7l8ubqYnGZZrI}0Oi1OD<*^`oGj`#swi*~202 z0n(b8Z{%$3g43nl|51RqEs_0WL%DZ6e~iOY`FpxJ7a z6|~=F`U>};+csM|4b(c*UQ2|w>gD)G5j(E5W<4lO)DG-q#OuzMlrNCE2wg%z*q0p( zUwi4JXzoT2YqCUn72aMYl+o7!uImhVTDSK6fG`dH+x57r#dyA~Uxl&Oa2n3=iUThE zY0&YLas0qToS&bE833Q1N}6|k`FbJtCk&KDpNV`elkXKs(A92+gqdgw^6mYq$2x#9O$-SXuc{oDi_6Ki{K)r9-Pl!eZ$Kp`#Una_|3<)LAUJ!vCTe|bv@_a~+c%`zuGivg zA7}>z2Bq)ZCJ1+Zz#mHOG)&5qX>{PM(DHlvi~0N8#>h>`XCi`+9)bPS5pxE7&nDBN(9-BB=q>6T>qu@6=J$LuqJk z*kF)U@Pq(2ozsg|VfkZXd(ALTEoM9;0ZgB&vf_LM#{iLk+*Xhl=yvL0maB(S(sHEh zpa1u7!{wa-eUFK>m)g@?V@o!})ipm8%vUQLon;Pq9Z7qUHhD|s9W-W(I_p5!J9@WK zA*hC5b>i*kTjB=aMm$fY8iTqTidOCjsYy;tG5@Eubh0%%)*~QXnO~I>e?YI`xAHQ6 zwEx^U1~~>LMUmU)nNM-bRgY{L^MX?D0$Rv-@Toq6C z-``{k#?Mv;<6mzo7mH5h95MX}h$1+n0c|KdMvlY%#4}8;N()j>}2O%&p?{=jsF*XJcJ?VNx5P~?+!SbaE zb>`n7aiOJ+yvx$tT3njX5u*SltHU*xGA+(|9kDFz!)*Ht!Y>p% za~M|$IYFk7asGQsaCyqG6X|2uDss{XWj4V?p0-;oWjBj2O+?{j=BvVSM^HOwOTPs5 zC{JHs9~c-3at$zeky}mk%pCO0s_X%{0AigEN%K1E$*S(6{n3c%r?}SY_$1@VOauDyf0>3ghvo$_N>P4-Mdevw~)k#WM+OLl8)pT z%4pk}kJ_6zIDFZEygHq)4J^bb3ElBMt+~w?1ant5Xz3dZ7_KOSMmB4>5c3e7;D%`y z6U-dzIU<2x(eO!0d6OaA+TNUa3SWbqS8pFL?!ATL8x8J^DeQESd`dl;1+5b3Gf`s+ zl&-OUU4Iu!k~1#__v1uU;XsCNg_x0y$GPK1-<3Z5?#p6nI^Yr1thQDzHB|ua*&isVhKmEU#nIgAP zp*ib*j*;{~LGUH)Q%jIR>!DEZ$YR`AYgXHN+!*DN#4u zTin<2_ljIZD(os_=&ln!vZ5zBNupz##g5#P1D4a>8`yc$xTePI2nfYD+pkb^kHmn^ z1pHO71ff<}na=lq%v_>DtJlaGyy;!*FNZ^8l9^U^ere~G_~`B)V6Gf2@a@ zLyU)x&#tQI|H7lf)cug9-^({aeHuHtU1#O!&9dB&DQ8t1Ufmpf_{?mHV6AA8b42iE z#gi*;HOW^fd*!+qnv3L8V_uM|OYCE|;eLhX+?kd* zy0dAy{`V=ixEWJM`pM z+z;bJTu$$cY0>r!<>FsYjNJJ0w09^QMWIfVs*d)Ymu3@x2slj1Ox~c{ZR{;G%7@-&XRvM`PJ#D@g>8JVE-4zZdUmlw(#T6MU^NjCS?#05jTf29!C-QJVtzDDkEu3M zcX>q@kB1uKfGZhV8POQiBb(F4 z08|+7Dg%7j-PgBV{K4E;y8BRUGusG#TgEE$r)-zL@sm+CjUOWU^t62YBNHbiixw9a z27a{Ap-cT2a22Z_g|@6m)ShUu(kdhFT3HMk0XGY+Pvyc-6o*C3)UKq@@l8Dn-p1{u z=vtVB0xgcWW<7p#st=M|##RtS#;JS^OO{qESOc>25F>I zef?WJHvc|l(lpIutN#S)^)?lH5{Z@aC_|d%)k+NKGfhK+vg^l>Yq25lfPj)l!UV$p zrA%~edG3;b!!lwmu%|}v6;hw!e9$xtAI8GgY+kXNluP|*Vf$v+>{>b+{W0he?t`92 z<+P_lVZ2;$F!TfVtP4$LsIuDr^`vlN7H?XqW2dj#Ci9BTZR=|_%*xii39{QlFn)TL zxzgHpBd=TAV(p{8VR^#!2r>{tve0=SEb)ZICy~n^z~X?)^8b}m&I)o8I32$b(Wo1K zPPht$hX$zJpQh7HB|rH)tKV6_6+_$B{sxZI{ow5jX$sqe`)6nJErx5wmVLN_qP*SziqQ5+ zVf*yg)u*EO=q`V|xyB2WdV;&thx<%m4l5<5>`PC&Vs>}`RuiEl8Dg=muKurNOUWnw z^D=GH;R)tu1-Tvyr3W5|p(Hx|pP_1V9#B1-`7Q;CN&G2D2Fn`olu^3Vk|{?pKRH~3UqgF)RWSa%g+r5_V6zcw(pXXuMx4W^ zyE^Dh+(7*IfG%chw+MOs42L)olsnL)Avt*0@`ye$DzQ`zT|mc+PNWMn7VPk14*#VSxwX7-^<>ObiUk$!t2-Myrd zAu&czdyHq@jC*2hQCcYz$6URYNT+x^8x+kM)efS15O?!A$k@S{`JW zKpQmnW7@x=XQ{IjLhd|%*Trpl!4~QUZ<_k5Y?8kGDt)`oYW&I`E~3-m(h{<|TDv}9 z!<#-cw$snr3!SRCM+juRwug!+-xva}!gz71<4po7(NuqlmG`T8wS8=k8apSA&TW?guwJGWpb2iT2>)Jb&GJ${ z%M@SA-|+Qt=o_gUm3w^uU>Y_LXpM|%=B1zpPfTv5tSRe31pwje@rJF;ePsq~Q68D^ z_Acl8h@NF!@JF~xF?5|$7i8_~to6uhzLJX6LaMxKgYDMY7u1oEm3yshr=o{kUK8vj z#bK?uzQZDjozbExYZT=NEc-0P8`)fGQ^)k?uLCN~h7@(+6?;0YXfRpQPgKy2W=Dti zwo(gBZY8#Td`^55Ze+c4ufVs^KOs=9iqQ- zl(R_tSTJO`UXqeNKt200^|m}dmz_42$e$u9jWDG9?jzB`q_fIifhz5{8(luS@|x6# zpFER)%FZXBT^iAqJ2ezIHfdMM*3j?Px8>olO!xqMS!%qHL80`u%W0uZaYT(qox5>fn>(nbT0=jp4P*rdx#nj{LU zgAj{}c`eaJb}bOs^?8N$ke1SHy258E89Xq*^pcVJ)9&>C)c6c(is51>X9ga%ZGbz2 zIF4TYDRy3d>l^V7_1iLi9xO7ohyF01Ijkp0doV8SF{=R;6W6%VWrhxY$AA9$N8Q{Zt@t%m`RU{l?Ta~d(Y&ikfz;!K!f2uXT zXkqEEnzv6jD3*Sq3&}ibd-_b>H9!M5dzP5ZQmLj5HOrWUF(r&%j*ijmZgjd6`C7|w z?d{DcoS_K}82-TDD|Fe-tcz#9?Eb1cbdX~z`CO&_V2f^bOa=-_8XbPg0BYrhXVik= z3zi0cde&MI=dC4j_&wyNJAxRC>BcWcx{3Wt@z>3Nh%SG|geq$oXuQ{p@~^TVy_Q4h zR)0iiOF!~5&U{}<3TwhPvKA`rV-gmk?p z4edpw;*FgXk5!_S^pS4|GIR=lmC3puLb8bO9(zRe8;fOL%{0S>sV&=GLYEO7Rm#RC z!%U;?sBTsj-geA4zg9JGr%YNNHz^w@x}#pf40?e}Ny#=r#Yqz(_ERq%NQ8@xilH_|5GOB7DTg zbQF?pWvsxSFKRBRQa)v9sGQ`~arWg5r|;@dij>q3~|F zu5=D91Vtsn4>a=>OhWFK>zy2#5yvxICY0^q6mCzsWk*f=KQb_lck}fe*RwQ*&tno3eWU#tNv|cNLPyQw8e( zOUJP*6Z)I;7nHaJ8ZK)FyI#ad*nSTgPvftT49CPJe>*}N9JKBvYPespVk&vq>4}~t zyz^{dm}7UV6Z6^9Brp6sSsk&~tlXXh4l$U>!hDpFM{ru;i~-MCv=D@KZpqIjFzSo? zZ2{5-ApQXNXY1aQZR#L)=tm=w4V@uoq$hFA&h|dP-QA+h*FiKFz9qH5i;gO(F% zh_~yiBX-`A3rX_4H#SN_(3WrJYQGeMG^aoVWWQ$k%)cOH<`6FLkdIkXY>Mae%5TLh zS{d)mkYxx%+`1XRwmhXS--!97DcWwH7>&J$DGM90j5}*P=f9#sStmvp>t@rof?(CK z-@^grWiAsD{NlmT0{BW$y}cZAA7nNEA>m+qFrt?z8@T#!PnRpE-n9+c1r8wG8qB<; zO}B&pSTuSouFBrzoi`j}XxjpjfNNp+$>~gJ_o^A?@E5ikJ?6{z?N1BoHIZhww*U!-rlOShOL!a*?(nP*C*2NYI!D0MY7!^R>Fc}f62Jv%Do}~1gFIUXdTf# zv{6LH2Z`TbqDoK=^|SV6u5Qb-)p?DEaarw7!jLDz&)4S829ipO&>ki|fT|lnjs{?F zd1}@}CUv9e5O9$VQ!t_)w)osnjM)z7299%QIe!-@@ZeBNrTID%+@&TW@Jr-s|LUYu zQPd%{hZABAwB`_7?5FM>04D0Q?{1rUL_=2GK{5#+IMm_;nZ*uX%hl$qeX%4m;>NP~>CdbAkMtu3;{JO7GbF!JpviAj60u zU}#|_>Cz;sdo`B)Wo%C3M=qihj1(V<`tJbI0hfS4h2&zI>yfK2(my}m1&NhG&!wlq zRztsY^SnC66uyMD8eMnoEErJCU-D`EAHV{KPl=w(QlYJ=by5bmnEa|YXuMQlL6QA9 z4##len_k@~J!T$pd}ruPb+Tr9${x9zj>5ojBc`cQf`_71(1+9udDwG8x$L+q|3ADo zov=rinsZ715CS_JI~J&`W&=T#lYhr>c1|AR;Wia2h&p%m{1aErKy-{*zUQ0Au4>5( zk65#>b8VhwfJq)Gnj+G03V|o5`cFH|ab?p7iQgBe$~KElO9GS0N5K>)dJ(u;xdOLV zbU0LuOX~G7Uh*W)0~6rI`yyfop@n66IPcyq)4N`s$ED*h$p+Y}>Zh2b?lDB?spr4j zWBL1MH;_^$6IRXR9I9c3g|tdg>n%%Y{aObgp@6?#!z)4-S*(><*q zOno3FNbB~o-SG;wV`jBNI)Ua4X&}tnV9^Vtff-Hiu_y`gGi7bI^ zVr8JW43|1!^8ydKoWKwfbxQEeB$#!+S0WmkGBJ`yswGyh%}Ik8MMzLg?~$mJ8gxF{ z!Gkdu&gE*OJNU}5?0*)2Si+wU*^4QXNA4fCy9c4mXi_0ao@O%OZq{u7VD|A+#IGao zd)aIan*A)c=7Oe0Zfp*G*^I=^Eg@%sn;_5n^E7AEddGYCgZ+3GS9#L@c=onlXSjB@ zhmWh0f}ZJ}u~J=&gR{>(vRTC_UZ+N1tC3=XdUno(Yzm6ae3iKpw*2-Lv1&(Bzie`P zcS_*_sT#A`(aKYIA#wCh{Pc^nOxX47nkEQ7L7Ae0kHsuEICX}AnLDJOT-!A8+__Oi zC;zfj_3{OnjxbLUMOV<+?=)pEUAXe%Ec6?|TolDK#X#HNfu<9O3YWjHL5^Pg}pnEgH1m ztn3Iq9D1Z{eAs05{JW1mJG8lHi;Fb-(~J%L3#sV$k(Q5bz{DoyGxp5Wgj@N;%Y zrmtJBwU7&|nnzvO7!`48@x?%!3WAzVff3%0BN{a^7^|AE@utXjVn-;$t*i@Jk3i{x zV&0%DVMP|%Nck8>8Q}P9LllMAq)k4QU6fb6UMLvTm35)1=dHnU&vri-k7)MyVJ*%p zxBQwIg)QpZ{9HAiJSSkwP*G>JM89r_TvLJe$z$kc-)8k zAE}pH3uBiPPJN6s+B_stgZ@H@jh&3Ck}lJDG+XJ=qEWj0eNcYaMFYbhmO^^5v9ixC z_I2MLXKu_I*33wkdOz{>VYcG% zZbMVKvYssQ8We@sQf6OFzfteo=vn@JBdfTSLHD^8#4@ywfNYEwLQ;oq|40)sB~j^Q zIjV4Lk_Lgvnb!7?EWfp1Oydj4nqV+5s96UQdielUtILr_=wr17s28Si*0>LgW>p@l zM*g*}_aDtoYK}y#*r)E6E{`BPqI zO<9UMzdv2zZVhB?n2O?dCyA#Y2TYe5{H`b-k&y0f@mOJq2J8ZdTrMfCOeU1NIy{l9 z6qZxy-LBd@82sL@Yj%Q|Y)0%1p6f2@y(KhHFL?dUI40B4j*SuQv-SM|m-<%8$hd^pshczL6{bB(M*kH8=Wy-3NEST%yR z2X^tdWL;pS{R4CsX_CmoK&Fc5Z{qA^8$twsj~o5E_a2zG?WXO8{6Wxto)a+UPk zOZ1?+@wwnHy5_f>G!6aWW!X`Jm^wDO+4`UQmNN{l9t@Zd|B8njY{mN7e5}Lr{?C_* z4;615g*L;uLPgk?aEU7P-Vx?6$n+ZPExq%!g))CNQKc=S2&P}co)rp=7!G+(i%X(x zUYlE^44S4@wIP_nXlBek)7C7!hZ(6%tCY5fIJ?g@A#hLr-^%HWC~&6l`>Zc!G=hnv zYI4AB$)L|;1q@hR^CQev5C8Fj9ic-5-XQo=!r-@mfEoyJ-(ly>&+4RDIg%gVmB-Qg zG-m~To!`=fX4$S6tHVFo?!jEuuu3}PJ&_b2Me1sp-?hTp%J4)NW=J>7UWB~)z|iv- zp*5V-cY!WFO`O{Tnx}kk6!#^f+t;-SW+^$mH^W6*F{t839enjEx55P?Fp(pe@WS#x zV+}PXZgypj_({h{pe>)K_O;puO8$D?o5yf(A5m=6*CQ85wRR3cUW z-ggdZ+M|ai8=6X@4CK8)9dqFMK?Q+h3RRA6 z_#kBjGVxtjDDEBEQ4aG(-&4>%bEFDer?i|>-j)_y5Oa%KXgO|gng*7s2t;G?3;DpT z#_ediMxt z-}0lJpE+hS22Q|622LB;TVK0*Qz~w7jGkTBu9Jm|cX~%YPhn9eV~)qSfFqDRT7>QU zeYK3ht1P9caD1(QwVZIzuYHY2mT$HjF$KB4yVKr(dO!Z93mnzZ= z2Qwv?``6-Z@0Fkefs93|X1HUZKuF0d9EIl;SjS)q_ed=GAh&6O1l#wgc?Uw<aSCU|;rYHqBIX?cp-RZ~kN22G!TK=_78DpWNINtd*hS zr5}w7_PrajsCdIt>_mZh`m*DhZSsFn!&<$Fs3_<5NCoaTO9~ScFX#ZLm+mXyX(6dNP+2!nC*Uc05|?i%Y!#?YVb3C$ zuVNBZLAGA*z8U%zdvsS$0elE6`E*MK&>qrtDYm%$C2EyEP{#i)gCLW;14@AmX)YM_ zZ-|G)uUHxevRTPAfvb?Zy82}tzSr7~;cD^GwX%9_%ZtEp-PNc#Z@Z*Z{zaL0Cb=5 z#Eg&=h6z?Qc;7>@1?~m9UQI zK&x#X;g-l;WANXf^-WpiLNjU}e``0rs71EMa;DdQLh3myRf);iv>XfC1K{jIe zx`8|*bFE_3e`HRY)Q_s9j89e?T+^uu`}3nVgM*QEJ`*ARVU82oc)zVG z7UMTv9k^KesDH7cxAAM*-Com*8Ev7e|CR#PL?ZGjO=Bb*|I4;OTZ*SiwB-Uh27P|G zp>$-8CuQGL^v~C^&PleiB&PzqbH>)ghVOBh5^w;SS%zF2URCPMGF&l8S05a1ImSH2 zW8jT>gLWy5Ehr4|@4*6n+U~Ec} zj2%!9ll)s1eRy(D)qeCZFu02AsQv#gndTcWSy_q!n@Mgm|27<8E}`CWR9T>&U}fm} zeT{ez+ZyWrwy=PlYGYhJ9GgY|ecgCJCat8)6{4Ni%G5uwQG~lMAVP}|3W-Lql{lRsvP<_(ZJpf1TCk1|7f}%l2{iN zhH|xe?nuu4O1w+UkOo*aemG_lt-%y`LN#C7CrT}ruc+5w#Q?ZP2^*8XjzIrEYgD#D zng)HSDjm^Ld;aR8rj$<8d@}Ogu)zI_mU4f(d@PxCd)gQMt$zA-(*1-hZ9z&_6>$H# zp&eY*5LOj$-zINKjkbE2#QX%V2wWj|fB!W7DDtNje{&Fc)|ge~gRU)n0>oMKo4|H` zV=z=dJi~EA4ClR85*l-Jg`NcYkC6OTOVJ|knl6e^3Ec{8QwfA%jZkJvJmi$1P7<|> zZt;90y16#-dN%*GG;%I!R+G@QwK|@IC0BmSwB&r891s)wUzCTtmZ$7X)a?xWM_t5i7tRv09i3zVazYL;~wsZj_)7;&+5)Vb(QIBCZBZvq~Htm z`#8S*!T~lI(CcU{3L+DmqBE%<-2>5ojn1#=(1bN~Xab!1`KeDA_Wbzr+J;*mg0DSz zgHpufnZ|bS2`YzSgaMb?49pUZoZRjfHt}C4JhN((k;~5+!PIX)B;8qh0?*JIVno_k zKNJ0}*HcrEim|f(k&27P&(Z0T8A*&AORCKQm8TsYJ=?W&JFMz&ZkWdzdsq&62)#^d zXfM7Y^m{sihgCAP0z*rbyT+Dr-#6VQpOi$lxro?(+P3i7uTK`XPrr8Cr&cxvH z)R}^d{zpOdpCoP8X;u0L?I!E4B{TmU%}GAF9z8&P)_Rf9={}&NO7CzhGxaY9R`VWD zNaNv<8c@u0+r>X+3_AJ~PaTxi#uSe%o9%akK?1ZWd{=?~P1raDQfKtt6>Jg;XyYfh-=Lv5W%y`XnvE1+*H-@;`Ned0SJPIm()&r<0*t*QU*rds$|w{}y&gX4kl z-G!lOHYMAgeqCVBwluQT9b|eCEjWV^a0G}gNILtk%j?D|{out0Z+Qy|o&mM4H-=}2 z1)h(IyG@9g^L3{@zFqkiS-7Q1VII!wEf#N+9IlC5eAR``N6`~ z^qRx~)qHMe6wFT&!8yjWj|BKS5l)k+vPELMwi%qtX=|O|$^%17;|H%***iEL+xze} z?a!MdL0xWLh#_ z@|jjk&1*)zJL8sb;Jl`Iz6{HECK1*A-siu>u_0lsnQG8FOEJ9t&M)?bHM3G?-{EB! z%07u}dE}6GZ~qTpl|ru+D_SvQm${uXm_7zM)gAvlV6{ldAPgYI1wa{s`NljE9nh;8 zQs!a!3|Nnf((r|5O&=EzKRgmb6W>A^%9MAy`1gB`>C5TWB=hV3PiJC?%!gqrsX6aT zG1=mZDQ_EO4kJ!1!VrneC%=@ziL6gZkRA8b%+}+TP(9Gha?XpmTJIOd;b~14DRO(! zVQzEcP8u#J>3o@eerDIWyj(-w?2UlUhWO^q`Nud`ln=wxzEPR7?fR~%eOVhtj2iy? zi@#>upKmbt&pDbd-vMDMfFee5uaP7QRmp&CpL<0yQwbH5N{V-Pf&a}bS=|oDXRji4 z`Sm3gA&`O=h&w(5lobPTe#5yeMT7n)_-?Y(3V3Jzo07m!Bz^%!!F(Z{Gq4K`d#4tDPN&yJ zO)UeL}tF6!49gg5$+q?rcJNtS!C%o#~dthD5 zoxmawvLcoea3ojHUc7;turJ#x>xLa7*vdndDP^SA5bGW14HpR#Fm756d}D4Ruu%_~ zVo206^3^2CAy7GkO0M?msk4Cc!0*tQqqQQS7ZhuyVOB>7^G=Zx_JrAA1Y^1T9oTLh zA@JWx0NI!MFNj(+wF2pBe8*Kpb`GEA#G?pBVZEoZRNMDqd`*_6CfE4>l<{s z+n`fL_*;s}O7P7()r$R216*-8(?j@nW8_Q znNw(i{OPA9O!~Id{9!47tGcmUZk2YY;oUAU!Qrut%~(>t^DXu)sc_m-s8#VUb2*Y% zZ64e1d9t?)UWa#PoEJL{rtPmeCgx|WVEuADRO4l%8UX@>9>BpAo`tPEH9>bdYx1Gf z_}v?Mdq-?UVA_H!PwSae`-fQ65!y@Gb>|yAo+ZJ!OvmqJATDW;NmQU-9Hh0~W9yoUQu~@<2u`?ZDF)wM#uO@spp~ z9+O?gTY0F@=21}+9o>?YM@1F{C^sM!Mew213iT18;{QlDKG$=xa$k zPiwwRT|kxS|4P=wQLGbq#MV-pdDB|o)iCbq)k=umv?3eo^B0@VW509f74D|LVpjyE zm1hnu#-Fo_Y3ueL^G~3JwOZcW-G@r_co24WzU(@^N>ZY0+&ea#Y*$OrB&v%@8sx-O zJQggYzH9|Oy*uJp!c5jHQ^jmd^oX8Ob6&DkbA%*G=d z7LtkjPn*VzQvykacZ_Ufzv3ue^)mtExj7LQ1vjNyOaihdU@ohD9(Z_h6AhT%P;!Ou zums_kZj#MUgp@b7eDt`3403sOE!Gp{89*xp!;g`kiudP@lIOQ^DU2WH*avG{Hv1}R z>DC<=j&*S4x+5!YQ?KnO)&)0?b&Su}Q6-ENEG|wsZ2%5u>&G`nwA{lp&Wj9{G7l&^>$>M$dLd~UQ10%_>P3jkH8jKK9p{s;~Dp-l@|u zn-&~+DzDY6b&Sl`9W_d_-Iq()1~rM!qNO#||K}gll87z`8Ubl+t+C z$i-;}6L7x))H0WJa~sr;9|=voDS7GO?@@Gm*104!2=^@J`iwjqr>sq)2NWQDg_=hM!wEMO#DFsA&u0 zKuN}Bb41eEiCkVx4Rim6{uKekvosve#8lfym{K7CqXcY5t8%m*h}7w%wKn%FwjhIg zF~(fh*DK4rmA~8?U=Z*oX9c?2kl1jCBE;CfCu|r&oQmrm6LFgfa71%A?jVov$9jD#Uk$W9-9cw8q(s{>K6r2Xw~_@w zCA(M$+A1d9H;q5c_z9Oy-^>X6Soknq8a=>kPA6vV(ALnfGV~kX|C;6ZNwiQ?)c#0y zde^MzXEv77kcD`7Cg2N9I%^9s6HAnCfB4Qf{Z)k+cPX=1XGMAP&n;%~-+q_TYl%wQ zcseQtYbT!tsxEgpey;f)yuPt%m&q1%%#4y6Xa%p#Xu|+Yp=21PbL_Ge(<4y$s*s&b zr$>bR5DSJc_}i!4m)?Y{P|-Qi5|M32lcwLMJarE9&HQX>NKrb1j8q81CQrAJpC6m!Da={&Ux!2KM7KFn>#1mDpA1FC} zb8Q>Ie9eA8$ZJB6>qhKA7|xxf3F7zyQSwfQYIH^|i9@3WVmHVyyW{6|vFCEbE>l9C zGt8T2G-80r1z6AljfpA6PH;kQspZ61Fg^SLrY`PPXo-J z?jPDuy8Ej!TU#?zHj1DpH)1cb7ngypX_3HreZY5JeEJIWq>;54Sb$lEL>JhRfaouq z(_vguek1%E)&i;w0Q0Cl>G&Drp^WC3d7+{Hiy9g^1{gbWK)X_W(jw-AqfWAN--|?D z8d=$PzqRJ!-~<{h#LNL#0HhOs=C)gpe$L^;J`6JB1{Z*+m*+P|!Gh)vyr+POnEgv< zzSu7AUC%b{7T2Ddk2>6C6a7AH0(USk=NMN$5~!o>`gc9u`I zLR!3N2xM%ED>hjB6qyqWyWi`y=2ggCZg`#xf2R~6CfayWyb%rQ5~u3_+uwG zXB}=P^7hH`q*)exJW^mu{leWtN&QZCm`3R7f6`Bw7nG>jNuZ=#J+hHOA*i%r!_U|( zLei6WBqcJRf&A6FG?J`xN8w6&!k*7U1lcn&Ra!)e?+=#yv|fJr5En=cDJVm<#PP;- z0VVQZi^<~HB~MMeZ>8Ve(hU+uHLh5L%t_*0?$8ijcyuwy?WyEyIOlQCb}a?k>BK*= zhbr=ZIk4jz+u<1l$++2mU6_jJ)iE1^Fy%pVBAU}BJvuj2*hY$PYieQuQUm@WFLY7i z>cQjRX2=ocO zMn2ibs&InckRJC;>aU?<3j-_uEqo2ks+;xgAmL5qzbJa9EXO}^%M+uNyx97&I(Ij$ zFAs7iZl^?nzGNAD<>gg7ua6!bSCIACzJ_9g@zki+DDRc&?m6ojw9SsXMTHBpitF3+=$`<|D8Ix3%ejEt za0Cd~ujw>e{5`-ErwU_ut0;0<%aB?qy?svaCKz^0p2(dfo}v6^nu7bO5d; zHbLfc2yxgnoUR1s5e&uLEEsW&Jo$Py2(Nv40B1ErzGYBGDIki;c(Z5gb7q97Af2G1 zI+IJJ`Ju_1(pkp58W-t5QBe`lEk8dIIkZ?%m)3}uyXhcNn^`%mb>;HRSGvabH{yvf z>~!u%QDXCbPQ0X1=2SFi94;{oQZ+Tveh4@(Lo7rD4B8q^jnX_mOGWFmCuOXpQn|1) zQB`YG-xyEjje0ftL@wLygACUm!(E?5yBOd;n#q4^Tr8*RQpqd(rZEI^@nBOP&d?pp zB({%rOVVywj9c{9$l#Bd#;#b^+oK|e9~8~2M|IWLKV;@v$?F}?zb1d^!*u<_qT&#l z&(%eAfko-V#MejEbv50Nnz{r$Bj)m9zCV&bFH9;Tw~}f9c0UOFUO<-*a{4)=s@9i# zYYvoKGypfhq5I@6p30rI;#%vQWX)d%wR{(S!VQUeN5S2d1F{&3+|^7EGYJainrY-r z01XMV*kIP`s2;QK8B^X!YS_F`ffRyf4PVR@Z~&!lLC1{=OU-C?2O${vCEj>eQWZ38 z-?q0#tR%uPkPpxtkn|Gw7m+>s{%dVj_QJX5)C-yKluFhWY>{#YXE0(--KDEXD zM4Uxz#U^2@r*BGL#w7;H8zdnuDUGb|07w7gSG_ko1AYggKQxfDqDgo*O0{8&o0izo zNAum01gvnhMz*cmaChL4Kz1#m(Ck2)Bl3P>fW(9pN0`0mtUz608l$z~N|I9Q5z{=O zsuUmjgP^DZC3-9FbBpPTpI%0sxxG>6~^?x0c&m0ocs*@kLtzIGX&i$hH^%Dr}J3+Gujax zA;|4ornDga4^jr|{-`5Xk&rw2k-DG$2Pa!%z<*8Voa#Ax&Wl`0J+EH{>{mLNJhUf6 zNSdP!!o-}pf$4=0e!1$=jh{iCmoWDg@2K^N->ccCvJ5~ypz*@PI$bAd!nOU1(VqW` zp|66E-DqZxww;&GgcLZ}N;Yj=56U`kAB5>!#~3^j!8mRPp@?6Yt*c_dpbqf3-(P+%L5ZH$XzczAuc2)vC78ZI4hPV#7*Au?6v6kZfZypum|E-6}4 znbyK?E^x6|!RCzbQhA-7{TVB_&G9^`&^+J9#rfH+P-`AJ5#OPQFEqp-MGCR$gL&0z zz#g^Xp}|v%fQA~3$9@AFku@S{qE%4*jKmxrJKI^63)74P94jQH5~>&rp#pGgGSnD=3yGwi_)r6w^u%avfp{iJ+MeyBRIlESHa9 zz_Efn2NndQ8Bc6bE4hj~_ys;(Eka$kAxr5;@X^o9%7!i2kjK&k$3Z9y>73Z&HJ;u$ zzcoaP9eE??lYFFWVk-t^Gn9RE(ota;xqUImmF9nLnHecf2{rTEkA%*j-qY@!;W2@1 zd`o=?$ox!T+x@ic61DS0^MR})ND8G>Hch8E7Mcw`Yrbjx$zy2IQYoMPveB~o^!$sV zMQ0OqbSmeOA@+NR&(F<5$zXX8G72t3G?^S>`dxu+@X-k7 zl_YW#?mYrT*;ujr!d;bHYj1x~{lPs{!-o|a$F()PuiC&x(SZwI@<@E^H<;@qU?TV! z?dHT(wqWi~3D*d6$ooIVU3)x~`5J!{Yth-y37bo$w%o>uWnEGv%GS)dlrbxeDYrx} zxh><)u1ZA47?K^ij2c3;E@M$jj>$cPhz#EG+=2_8X6inb$HDDPCL4u z!i0YV=M>8nYV_;O5_!gfbZdt;D~DrSF}Tfyj}*MvcdzF~(FcRMk! ztS^@{L`q}C?COs=nd^J{r-!`rHOje9r)UPM@_A$`CCMwGxAZcjfhg9t;$}&&oSq=a zH_%x@X~Mky8ZUC=%fEJb4x<*Kb-vg^scd*c%5%(OBYlnUmjNn)EvAwVy9|ur(TxVV z3tBcn+6f~%jli)R2-rQ^6<&-H^$hgr$q)}>%<7C(5t%Sg2G+M9G! znozs*@;;(F?|ffz~1laFt@R_C9tEyLig=!Bi z+)O8m>Wed#*e9WqzIk`YBj^J=mor++pCxs^iuk6AgtUXRx;@*R@CJ;-rN z^-Vf9u5A@UrXq`IIGGV_h@yg_471wK) z1jbn_QsdTkcpLVQy{w+|b`EDaJdL`+^`O)P7b6-Ytmj>lH2PUun>os+nYZ&4_Eqts zYL+l@KUs8F-Tf9JGC9m5JzN>>hmunv*q7}C?2>?$Je@lRD5zFeTw?8I-UmZ-e~2?5c8=r_E zFWc(?F+}g=x4WNw($1f~&}|4#4a$!0j#TB$T)j!fWbBQ5J>KL{jAQ5NTCE2BpJcEp z+W6)SdnaObm$^$pvrsXWR@HkBY&>;r6k^iHr5Q~G zkx|1PwQv|%BJyn7pHNfao~lS%S*nRZkSgi-aV}u4AC;0T0Ll#%FMzJ2hjy;L){NdV zlTsPpt`Our^t{FI(uN2~;8<^9iKceLLk88=9cWW^SY{A?DU8r3NhRNky1t1Wid)Cjx8~ zoEb~6-8Q3>GzXRR0;Dovr33}dezg;oiPg{lcJ`qA6%?q$c%&tLXnc}?j4L+IotX8l zL7#H!_rp^mt=pk;4dU%_o{IIv`rr$-lg*67PVO0Z_=gX>E>>?4=f1+hJJ4Ld#X zQADQ+*|(Svp$q|-23EehzR?#^Z`YizUo$krI#e{<)JcmrlT>l!T`{8!u@ZEN?iI2V z*)iJpc5n1PgmorcBOgPM`#}jy%@Q+2QQ^;tQxaPaKq@&8qPU0*F(ejMvnKcD9Z!}$ z$ztPwoZpM@*Kg?9i8Tu805 z!?MoLhLs9#S~^&1)SbkYuH!~rK0vAtcoIK~yT-szkp`ae1gyt*hOfl;(WP8eu+pPt zXGt&KQWPQEqqDvSho}r@#YZ3j!qeZQqvyvCYcdZcCNsy-&%6T^V{*$V#B^ z$}GthyXv(P)S}tvXVeSRh3Q4@F;*tGEbSdxLw!qm*HZaiIA=?X4u9Z(mJKUdWvGM{ z+Oo9!vl{~E?n&6;NLu+cM`{lpLKjILuoQ*y95fCOS!E;fk3JNz?Zj!m~=WIeG03@Hqw6CGWk{amnOhiYG zXt%e&sRjqRY1lDmzOSbbOdc?yI$(3s!dsd%qX)R@vLo*;F`T@A!MV$LqBTOMKN+WNGl60qyO; z(S3wrkS3d@kN7d{3oc!{M3|Gzsqn&l1S`~OySY!eWYljE)`+U>{cFN8J;%JXljcBA z(=jk=Qn9zreOsA+~Lxv;^nj&T!B6V5tJG3%7o}>)4`Ph%tho;9NXTfaq2(-=02m-p)VN{;jt1NL=huygz@`t8z zkv7qS&6=0bkiRY8WbO9Om)~%pu{jPnN2V$o88Buqdn(CY2xZgfB6cJxxPDlcRlT@n z5Ina{ciN4NlF#b)rbr)eDk)pdXVytV38E<2{horDBjXpk)&a?TvG_=o6&g+jAzaDv zMF}pyM{df(9qUsHeiF{t`s@_K3JnI53PR&Jv{iCC5y6a=(vuwn+V!gFOiLO+Inh2U zRo|p@NTkR7?z0nl?~IV4`dxZIqlq3wDLsqjr#azA-3sZ8Y_TsK7b zpRouxE$K6DY2;%2rf7xuI#=Q0RL)mqJhfTpRPmn5J9g)kw7w5Jom)H5TtK!4gL_q$ zA)LREuz^7yRQt{&%*lE3{$w+Y{-dU2?q@({0Fk`8K+EJh>Ul&+hcFNE9+=M9t4{cy zx4up?2`Q@Pd?Dbcve`pJ*fHSNb9P}cff@M@0}=o<67M%Lu@JR* zQCS|W^xgJVG&%sX^%?F0B7C_KjE_OPT9l!;n!VNQ0_o1`ZDI-;7sC(QH2CZZb&Yef z64B#B%=IJ}-XP6yN+m_(kI$!=+bM?Bz!u^PE5bMJ$67h1*%`3e9hQ*HEnH@I=ghyA z7C^;;BQnPBiNgv}w&XMuM^rzFA#luVzaGy)y>#8J@jxyGab(sI#-B6aC?sniL9@B@ zjayS%+d{`Ky1?`FGJIK4l#@nJArz_cp~}eJ3m{dh$Sp6P-p*ZaV^xQA>br(Y9mc2A z>g~;lC?o;#9O;Y2*w;8v6yo^5}vAHwI+Vy!$~U)r7@Rq$nRXT|XS{qTS|YRW9wBNAaeq zSht@CH;XERn#cKjQ}wbtSor?sX!%<&>1lyjasHyO;6}BLmf!%rmYWiScBs)iK%Ba|>1J1O zTfe+j^e0tzfJw@~F97|vyPthj{(7lJG>`hP-#o+#s0qnm>q*`EKYdtBuo4|R_{$d? rIMJ$dq9io_Z|nJ=Zsxy#`1Pl+@KzH6$7*Yb5%|Gb*&eO1Jd^k@oHL+s literal 0 HcmV?d00001 From 24ab3568ba8be1ed0b4abee5e90585b4dd8bdfa4 Mon Sep 17 00:00:00 2001 From: Marcus Baulch Date: Mon, 3 Nov 2025 12:17:42 +1000 Subject: [PATCH 20/27] Added functionality for prediction visualisation --- predict.py | 122 +++++++++++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 118 insertions(+), 4 deletions(-) diff --git a/predict.py b/predict.py index eedc06e04..8b8a3e459 100644 --- a/predict.py +++ b/predict.py @@ -3,9 +3,11 @@ from torch.utils.data import DataLoader from tqdm import tqdm import numpy as np +import os +import matplotlib.pyplot as plt from modules import UNet -from dataset import DataSegmenter2D, get_image_path_hip_mri +from dataset import DataSegmenter, get_image_path device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') print(f'Predict Using device: {device}') @@ -115,6 +117,97 @@ def evaluate_model(model_path, test_loader): return mean_dice +def save_prediction_visualisations(model, test_loader, output_dir='./outputs/predictions', max_samples=10): + """ + Save prediction visualizations comparing input, ground truth, and predictions. + + Args: + model: Trained model + test_loader: DataLoader for test set + output_dir: Directory to save visualization images + max_samples: Maximum number of samples to visualize + """ + os.makedirs(output_dir, exist_ok=True) + + # Define colors for each class + class_colors = [ + (0.0, 0.0, 0.0), # class 0 - black (background) + (1.0, 0.0, 0.0), # class 1 - red + (0.0, 1.0, 0.0), # class 2 - green + (0.0, 0.0, 1.0), # class 3 - blue + (1.0, 1.0, 0.0), # class 4 - yellow + (1.0, 0.0, 1.0), # class 5 - magenta + ] + + def colorize_mask(mask_idx): + """Convert class indices to RGB image.""" + h, w = mask_idx.shape + rgb = np.zeros((h, w, 3), dtype=np.float32) + for c, color in enumerate(class_colors): + rgb[mask_idx == c] = color + return rgb + + model.eval() + sample_count = 0 + + print(f"\nSaving visualizations to {output_dir}...") + + with torch.no_grad(): + for batch_idx, (images, masks) in enumerate(test_loader): + if sample_count >= max_samples: + break + + images, masks = images.to(device), masks.to(device) + logits = model(images) + preds = torch.argmax(logits, dim=1) # [B, H, W] + + # Process each image in batch + for i in range(images.shape[0]): + if sample_count >= max_samples: + break + + # Get single sample + img = images[i, 0].cpu().numpy() # [H, W] + gt_mask = torch.argmax(masks[i], dim=0).cpu().numpy() # [H, W] + pred_mask = preds[i].cpu().numpy() # [H, W] + + # Normalize image for display + if img.max() - img.min() > 1e-6: + img_display = (img - img.min()) / (img.max() - img.min()) + else: + img_display = img + + # Colorize masks + gt_colored = colorize_mask(gt_mask) + pred_colored = colorize_mask(pred_mask) + + # Create figure + fig, axes = plt.subplots(1, 3, figsize=(12, 4)) + + axes[0].imshow(img_display, cmap='gray') + axes[0].set_title('Input Image', fontsize=12, fontweight='bold') + axes[0].axis('off') + + axes[1].imshow(gt_colored) + axes[1].set_title('Ground Truth', fontsize=12, fontweight='bold') + axes[1].axis('off') + + axes[2].imshow(pred_colored) + axes[2].set_title('Prediction', fontsize=12, fontweight='bold') + axes[2].axis('off') + + plt.tight_layout() + + # Save figure + output_path = os.path.join(output_dir, f'prediction_{sample_count:03d}.png') + plt.savefig(output_path, dpi=150, bbox_inches='tight') + plt.close(fig) + + sample_count += 1 + + print(f"✓ Saved {sample_count} visualization images to {output_dir}") + + def main(): """Main execution function.""" print("="*70) @@ -122,14 +215,14 @@ def main(): print("="*70) # Get file paths for test set - test_img_path = get_image_path_hip_mri('test', 'image') - test_mask_path = get_image_path_hip_mri('test', 'mask') + test_img_path = get_image_path('test', 'image') + test_mask_path = get_image_path('test', 'mask') print(f'Test images: {test_img_path}') print(f'Test masks: {test_mask_path}') # Create test dataset - test_dataset = DataSegmenter2D(test_img_path, test_mask_path, augment=False) + test_dataset = DataSegmenter(test_img_path, test_mask_path, augment=False) # Create test dataloader test_loader = DataLoader( @@ -146,9 +239,30 @@ def main(): # Evaluate the model model_path = './outputs/best_model.pth' + + # Load model for visualidation + print("="*70) + print("LOADING MODEL FOR VISUALIZATION") + print("="*70) + model = UNet(in_channels=1, out_channels=6) + checkpoint = torch.load(model_path, map_location=device) + + if isinstance(checkpoint, dict) and 'model_state_dict' in checkpoint: + model.load_state_dict(checkpoint['model_state_dict']) + else: + model.load_state_dict(checkpoint) + + model.to(device) + model.eval() + print("Model loaded successfully\n") + + save_prediction_visualisations(model, test_loader, output_dir='./outputs/predictions', max_samples=5) + + # Evaluate Dice scores mean_dice = evaluate_model(model_path, test_loader) print(f"\nFinal Test Dice Score: {mean_dice:.4f}") + print(f"Prediction images saved to: ./outputs/predictions/") if __name__ == '__main__': From b9b7262a25f012c256d147d0fab7321ea3f90b99 Mon Sep 17 00:00:00 2001 From: Marcus Baulch Date: Mon, 3 Nov 2025 12:18:27 +1000 Subject: [PATCH 21/27] Refactored some class names in dataset.py --- dataset.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/dataset.py b/dataset.py index 84c52e08b..2ac4ec9c0 100644 --- a/dataset.py +++ b/dataset.py @@ -81,7 +81,7 @@ def load_data_2D(imageNames, normImage=False, categorical=False, dtype=np.float3 else: return images -class DataSegmenter2D(Dataset): +class DataSegmenter(Dataset): """Custom PyTorch Dataset for 2D medical image segmentation with NIfTI files.""" def __init__(self, image_path, mask_path, subset_size=None, start_index=0, augment=False): @@ -191,7 +191,7 @@ def _apply_augmentations(self, image, mask): return image, mask -def get_image_path_hip_mri(dataset, type): +def get_image_path(dataset, type): """ Construct glob pattern for HipMRI Study dataset files. @@ -200,7 +200,7 @@ def get_image_path_hip_mri(dataset, type): type: Either 'image' or 'mask' for respective file types Returns: - String glob pattern suitable for DataSegmenter2D initialization + String glob pattern suitable for DataSegmenter initialization """ # Define base directory structure @@ -227,8 +227,8 @@ def get_image_path_hip_mri(dataset, type): if __name__ == "__main__": - # Command-line interface for testing DataSegmenter2D - parser = argparse.ArgumentParser(description="Quick test / demo for DataSegmenter2D") + # Command-line interface for testing DataSegmenter + parser = argparse.ArgumentParser(description="Quick test / demo for DataSegmenter") parser.add_argument("--dataset", choices=("train", "validate", "test"), default="train", help="Which HipMRI split to use") parser.add_argument("--subset", type=int, default=4, help="How many samples to load (for quick tests)") @@ -238,14 +238,14 @@ def get_image_path_hip_mri(dataset, type): args = parser.parse_args() # Get file patterns for selected dataset split - img_pattern = get_image_path_hip_mri(args.dataset, "image") - mask_pattern = get_image_path_hip_mri(args.dataset, "mask") + img_pattern = get_image_path(args.dataset, "image") + mask_pattern = get_image_path(args.dataset, "mask") print("Image pattern:", img_pattern) print("Mask pattern:", mask_pattern) # Instantiate dataset - ds = DataSegmenter2D( + ds = DataSegmenter( img_pattern, mask_pattern, subset_size=args.subset, From 352390ff30cb3c0b003dec18bf8a54674e2baf52 Mon Sep 17 00:00:00 2001 From: Marcus Baulch Date: Mon, 3 Nov 2025 12:44:49 +1000 Subject: [PATCH 22/27] updated README --- README.md | 84 +++++++++++++++++++++++++++++++++++++++---------------- 1 file changed, 60 insertions(+), 24 deletions(-) diff --git a/README.md b/README.md index dd99826c9..fd674a3b4 100644 --- a/README.md +++ b/README.md @@ -2,21 +2,21 @@ ## Author -**Marcus Baulch** (47445464) +Marcus Baulch (47445464) COMP3710 - Pattern Recognition and Analysis The University of Queensland ## Overview -This project implements an Improved U-Net for multi-class semantic segmentation of Prostate MRI images. The model segments anatomical structures in 2D MRI slices into 6 distinct classes, achieving robust performance through residual connections, batch normalisation, and a combined loss function. +This project implements an Improved U-Net for multi-class semantic segmentation of Prostate MRI images. The model segments anatomical structures in 2D MRI slices into 6 distinct classes, achieving performance through residual connections, batch normalisation, and a combined loss function. ### Key Features - **Residual U-Net Architecture**: Enhanced U-Net with ResNet-style skip connections within encoder/decoder blocks -- **Multi-Class Segmentation**: 6-class semantic segmentation (background + 5 anatomical structures) -- **Combined Loss Function**: 60% Dice Loss + 40% Cross-Entropy for balanced optimization +- **Multi-Class Segmentation**: 6-class semantic segmentation +- **Combined Loss Function**: 60% Dice Loss + 40% Cross-Entropy for balanced optimisation - **Data Augmentation**: Random flips and rotations during training -- **Comprehensive Evaluation**: Dice coefficient metrics with visualization capabilities +- **Comprehensive Evaluation**: Dice coefficient metrics with visualisation capabilities --- @@ -24,7 +24,7 @@ This project implements an Improved U-Net for multi-class semantic segmentation ### Hip MRI Study Dataset -The project uses the HipMRI Study Open Dataset, which contains longitudinal MRI scans with semantic labels for anatomical structures. +The project uses the HipMRI Study Open Dataset, which contains MRI scans with semantic labels for male pelvises. The data was retrieved from https://data.csiro.au/collection/csiro:51392v2?redirected=true (see reference at the end). **Dataset Structure:** ``` @@ -42,7 +42,7 @@ HipMRI_Study_open/ ### Preprocessing Pipeline 1. Image Loading: NIfTI (.nii.gz) files loaded with `nibabel` -2. Normalization: Images standardized using z-score normalization: `(x - mean) / std` +2. Normalisation: Images standardised using z-score normalisation: `(x - mean) / std` 3. One-Hot Encoding: Masks converted to 6-channel one-hot format `[B, 6, H, W]` 4. Data Augmentation (training only): - Random horizontal/vertical flips (50% probability each) @@ -54,7 +54,7 @@ HipMRI_Study_open/ ### Residual U-Net -The model improves upon standard U-Net with residual blocks and batch normalization: +The model improves upon standard U-Net with residual blocks and batch normalisation: ``` Input (1 channel, grayscale MRI) @@ -82,8 +82,8 @@ Output (6 channels, class logits) Each `ResidualBlock` consists of: ``` Input - ├─→ Conv3x3 → BatchNorm → ReLU → Conv3x3 → BatchNorm → (+) - └─→ [1x1 Conv if channels mismatch] ────────────────────→ ReLU → Output + ├─ Conv3x3 → BatchNorm → ReLU → Conv3x3 → BatchNorm → (+) + └─ [1x1 Conv if channels mismatch] ────────────────────→ ReLU → Output ``` @@ -116,8 +116,20 @@ python train.py **Outputs:** - `outputs/best_model.pth` - Best model checkpoint (highest validation Dice) -- `outputs/checkpoint_latest.pth` - Latest checkpoint with full training state +- `outputs/prediction_XXX.png/` - Predicted visualisations (saved PNGs) + +### Output Visualisations + +![Prediction - slice 01](outputs/prediction_000.png) +*Input | Ground truth | Model prediction* + +![Prediction - slice 02](outputs/prediction_001.png) + + +![Prediction - slice 03](outputs/prediction_002.png) + - `outputs/training_curves.png` - Loss and Dice score plots +![Dice Loss Curves](outputs/training_curves.png) --- @@ -125,6 +137,8 @@ python train.py ### Metrics +This model was trained on only 5 epochs, as it reaches the minimum dice coefficient of 0.75 very quickly. + **Dice Coefficient** (primary metric): ``` Dice = (2 × |Prediction ∩ Ground Truth|) / (|Prediction| + |Ground Truth|) @@ -142,28 +156,44 @@ python predict.py - Loads best model from `outputs/best_model.pth` - Evaluates on test set - Reports mean, std, min, max Dice scores -- Optionally saves prediction visualizations +- Saves prediction visualisations ## Results ### Performance Metrics -| Split | Dice Coefficient | -|-------|------------------| -| **Training** | (see training curves) | -| **Validation** | (see training curves) | -| **Test** | (run `predict.py` for results) | +The following is an output from predict.py: +``` +====================================================================== +TRAINING COMPLETED +====================================================================== +Best Validation Dice: 0.8654 +====================================================================== + +====================================================================== +TEST SET EVALUATION +====================================================================== + +Test Loss: 0.2150 +Test Dice: 0.8777 +====================================================================== + +Training curves saved to: outputs/training_curves.png +FINAL SUMMARY +====================================================================== +Best Validation Dice: 0.8654 +Test Set Dice: 0.8777 +Model saved to: ./outputs/best_model.pth +Plots saved to: ./outputs/training_curves.png +====================================================================== +``` +The model provided an average Dice coefficient of 0.877 per label (averaged over 6 classes), which exceeds the 0.75 dice coefficient requirement for this task. ### Training Curves Training and validation loss/Dice curves are automatically saved to `outputs/training_curves.png` after training completes. -### Sample Predictions - -Prediction visualizations can be generated by running the evaluation script with visualization enabled, saving comparison images to `outputs/predictions/`. - ---- ## Project Structure @@ -173,13 +203,14 @@ COMP3710-Report/ ├── predict.py # Evaluation script ├── modules.py # Residual U-Net architecture ├── dataset.py # Dataset loader with augmentations -├── utils_visualize.py # Visualization utilities +├── utils_visualize.py # Visualisation utilities ├── check_predictions.py # Quick prediction checker ├── README.md # This file ├── LICENSE # Project license └── outputs/ # Training outputs ├── best_model.pth - └── training_curves.png + ├── training_curves.png + └── prediction_XXX.png #variable amount of prediction visualisations ``` @@ -246,3 +277,8 @@ device = torch.device('cuda' if torch.cuda.is_available() else 'cpu') ``` --- + +### References +COMP3710 Teaching Team, 2025. Retrieved from https://colab.research.google.com/drive/1VOsZSyRhyuHLmgoqGriQk01ub4bKNmZ1?usp=sharing + +Dowling, J. & Greer, P. (2014). Labelled weekly MR images of the male pelvis. Retrieved from https://data.csiro.au/collection/csiro:51392v2?redirected=true \ No newline at end of file From 71dacabf740f625e8e15e7260db2467a3f03e1c1 Mon Sep 17 00:00:00 2001 From: Marcus Baulch Date: Mon, 3 Nov 2025 12:45:08 +1000 Subject: [PATCH 23/27] finalised module and training architectures --- modules.py | 2 ++ train.py | 20 ++++++++++---------- 2 files changed, 12 insertions(+), 10 deletions(-) diff --git a/modules.py b/modules.py index f2bd9ea9c..4c7464e8e 100644 --- a/modules.py +++ b/modules.py @@ -3,6 +3,8 @@ import torch.nn as nn import torch.nn.functional as F +# The following code is inspired by Unet Segmentation code demo on Blackboard +# https://colab.research.google.com/drive/1VOsZSyRhyuHLmgoqGriQk01ub4bKNmZ1?usp=sharing class ResidualBlock(nn.Module): """Residual block with skip connection for U-Net.""" diff --git a/train.py b/train.py index 11ed280d8..a25adf343 100644 --- a/train.py +++ b/train.py @@ -5,7 +5,7 @@ from pathlib import Path import matplotlib.pyplot as plt from modules import UNet -from dataset import DataSegmenter2D, get_image_path_hip_mri +from dataset import DataSegmenter, get_image_path from torch.utils.data import DataLoader @@ -300,12 +300,12 @@ def main(): print('='*70) # Get file paths for train, validation, and test sets - train_img_path = get_image_path_hip_mri('train', 'image') - train_mask_path = get_image_path_hip_mri('train', 'mask') - val_img_path = get_image_path_hip_mri('validate', 'image') - val_mask_path = get_image_path_hip_mri('validate', 'mask') - test_img_path = get_image_path_hip_mri('test', 'image') - test_mask_path = get_image_path_hip_mri('test', 'mask') + train_img_path = get_image_path('train', 'image') + train_mask_path = get_image_path('train', 'mask') + val_img_path = get_image_path('validate', 'image') + val_mask_path = get_image_path('validate', 'mask') + test_img_path = get_image_path('test', 'image') + test_mask_path = get_image_path('test', 'mask') print(f'Train images: {train_img_path}') print(f'Train masks: {train_mask_path}') @@ -316,9 +316,9 @@ def main(): print() # Create datasets - train_dataset = DataSegmenter2D(train_img_path, train_mask_path, augment=True) - val_dataset = DataSegmenter2D(val_img_path, val_mask_path, augment=False) - test_dataset = DataSegmenter2D(test_img_path, test_mask_path, augment=False) + train_dataset = DataSegmenter(train_img_path, train_mask_path, augment=True) + val_dataset = DataSegmenter(val_img_path, val_mask_path, augment=False) + test_dataset = DataSegmenter(test_img_path, test_mask_path, augment=False) # Create dataloaders train_loader = DataLoader( From b9bc41327c88018d5ce82d377adeebc5ee2ac1b6 Mon Sep 17 00:00:00 2001 From: Marcus Baulch Date: Mon, 3 Nov 2025 13:00:58 +1000 Subject: [PATCH 24/27] updated README --- README.md | 28 +++++++++++++++++++++------- 1 file changed, 21 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index fd674a3b4..698cc288c 100644 --- a/README.md +++ b/README.md @@ -39,16 +39,30 @@ HipMRI_Study_open/ └── semantic_labels_only/ # Original 3D NIfTI files ``` -### Preprocessing Pipeline +### Preprocessing -1. Image Loading: NIfTI (.nii.gz) files loaded with `nibabel` -2. Normalisation: Images standardised using z-score normalisation: `(x - mean) / std` -3. One-Hot Encoding: Masks converted to 6-channel one-hot format `[B, 6, H, W]` -4. Data Augmentation (training only): +1. **Image Loading**: NIfTI (.nii.gz) files loaded with `nibabel` +2. **Normalisation**: Images standardised using z-score normalisation: `(x - mean) / std` [1] +3. **One-Hot Encoding**: Masks converted to 6-channel one-hot format `[B, 6, H, W]` +4. **Data Augmentation** (training only) [2]: - Random horizontal/vertical flips (50% probability each) - - Random rotation of 15 degrees + - Random rotation of ±15 degrees - Geometric transforms applied consistently to image-mask pairs +### Train/Validation/Test Split + +The dataset uses a predefined split provided by the HipMRI Study Open Dataset: +- **Training set**: 11,460 images +- **Validation set**: 660 images +- **Test set**: 540 images + +**Justification**: +- The dataset came pre-split, so no manual splitting was required +- 90/5/5 split is standard for medical imaging datasets +- Training set is large enough to learn robust features +- Validation set (660 samples) is sufficient +- Test set (540 samples) provides statistically meaningful evaluation + ## Model Architecture @@ -79,7 +93,7 @@ Output (6 channels, class logits) ### Residual Block Details -Each `ResidualBlock` consists of: +Each ResidualBlock consists of: ``` Input ├─ Conv3x3 → BatchNorm → ReLU → Conv3x3 → BatchNorm → (+) From 01727579f951a6beded9dab75163c14f61b6eeae Mon Sep 17 00:00:00 2001 From: Marcus Baulch Date: Mon, 3 Nov 2025 13:18:21 +1000 Subject: [PATCH 25/27] updated gitignore --- .gitignore | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.gitignore b/.gitignore index ba2c378b4..4367d2f6a 100644 --- a/.gitignore +++ b/.gitignore @@ -1,2 +1,3 @@ keras_png_slices_data/ -HipMRI_Study_open/ \ No newline at end of file +HipMRI_Study_open/ +__pycache__/ \ No newline at end of file From b866cae878cd46ed77b05552e470e68eebcd8a16 Mon Sep 17 00:00:00 2001 From: Marcus Baulch Date: Mon, 3 Nov 2025 14:23:39 +1000 Subject: [PATCH 26/27] test commit to get pr to work --- dataset.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/dataset.py b/dataset.py index 2ac4ec9c0..81084a6ee 100644 --- a/dataset.py +++ b/dataset.py @@ -277,4 +277,6 @@ def get_image_path(dataset, type): except StopIteration: print("No data returned by DataLoader (empty dataset).") except Exception as e: - print("Error while loading a batch:", repr(e)) \ No newline at end of file + print("Error while loading a batch:", repr(e)) + + # test \ No newline at end of file From fa9f31e207efdef2aacfb6fc578d53b0104dcbf2 Mon Sep 17 00:00:00 2001 From: Marcus Baulch Date: Mon, 3 Nov 2025 14:40:06 +1000 Subject: [PATCH 27/27] dummy commit --- dataset.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/dataset.py b/dataset.py index 81084a6ee..2ac4ec9c0 100644 --- a/dataset.py +++ b/dataset.py @@ -277,6 +277,4 @@ def get_image_path(dataset, type): except StopIteration: print("No data returned by DataLoader (empty dataset).") except Exception as e: - print("Error while loading a batch:", repr(e)) - - # test \ No newline at end of file + print("Error while loading a batch:", repr(e)) \ No newline at end of file