From 2dac32eab0440ae5da5ea44d0055f24a6dde74b8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Batuhan=20Berk=20Ba=C5=9Fo=C4=9Flu?= <batuhan@basoglu.ca>
Date: Sat, 15 Nov 2025 19:16:15 -0500
Subject: [PATCH] Added the files.

---
 .idea/inspectionProfiles/Project_Default.xml  |   6 +
 .../inspectionProfiles/profiles_settings.xml  |   6 +
 .idea/misc.xml                                |   7 +
 .idea/vcs.xml                                 |   6 +
 .idea/workspace.xml                           |  42 ++++--
 README.md                                     |   2 +-
 experiment-1-1.py                             |   0
 experiment-1-2.py                             |   0
 experiment-1-3.py                             |   0
 experiment-2-leaky-relu.py                    |   0
 experiment-2-tanh.py                          |   0
 experiment-3-l1.py                            |   0
 experiment-3-l2.py                            |   0
 experiment-4.py                               |   0
 experiment-5.py                               |   0
 experiment-6.py                               |   0
 experiment-7.py                               |   0
 experiment-8.py                               |   0
 multilayer-perceptron.py                      | 139 ++++++++++++------
 results/MLP-output.png                        | Bin 0 -> 38509 bytes
 20 files changed, 146 insertions(+), 62 deletions(-)
 create mode 100644 .idea/inspectionProfiles/Project_Default.xml
 create mode 100644 .idea/inspectionProfiles/profiles_settings.xml
 create mode 100644 .idea/misc.xml
 create mode 100644 .idea/vcs.xml
 create mode 100644 experiment-1-1.py
 create mode 100644 experiment-1-2.py
 create mode 100644 experiment-1-3.py
 create mode 100644 experiment-2-leaky-relu.py
 create mode 100644 experiment-2-tanh.py
 create mode 100644 experiment-3-l1.py
 create mode 100644 experiment-3-l2.py
 create mode 100644 experiment-4.py
 create mode 100644 experiment-5.py
 create mode 100644 experiment-6.py
 create mode 100644 experiment-7.py
 create mode 100644 experiment-8.py
 create mode 100644 results/MLP-output.png

diff --git a/.idea/inspectionProfiles/Project_Default.xml b/.idea/inspectionProfiles/Project_Default.xml
new file mode 100644
index 0000000..89d2399
--- /dev/null
+++ b/.idea/inspectionProfiles/Project_Default.xml
@@ -0,0 +1,6 @@
+<component name="InspectionProjectProfileManager">
+  <profile version="1.0">
+    <option name="myName" value="Project Default" />
+    <inspection_tool class="PyUnnecessaryCastInspection" enabled="true" level="WEAK WARNING" enabled_by_default="true" />
+  </profile>
+</component>
\ No newline at end of file
diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml
new file mode 100644
index 0000000..105ce2d
--- /dev/null
+++ b/.idea/inspectionProfiles/profiles_settings.xml
@@ -0,0 +1,6 @@
+<component name="InspectionProjectProfileManager">
+  <settings>
+    <option name="USE_PROJECT_PROFILE" value="false" />
+    <version value="1.0" />
+  </settings>
+</component>
\ No newline at end of file
diff --git a/.idea/misc.xml b/.idea/misc.xml
new file mode 100644
index 0000000..1d3ce46
--- /dev/null
+++ b/.idea/misc.xml
@@ -0,0 +1,7 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="Black">
+    <option name="sdkName" value="Python 3.13" />
+  </component>
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.13" project-jdk-type="Python SDK" />
+</project>
\ No newline at end of file
diff --git a/.idea/vcs.xml b/.idea/vcs.xml
new file mode 100644
index 0000000..94a25f7
--- /dev/null
+++ b/.idea/vcs.xml
@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="$PROJECT_DIR$" vcs="Git" />
+  </component>
+</project>
\ No newline at end of file
diff --git a/.idea/workspace.xml b/.idea/workspace.xml
index 399e8ce..2a3d948 100644
--- a/.idea/workspace.xml
+++ b/.idea/workspace.xml
@@ -4,35 +4,47 @@
     <option name="autoReloadType" value="SELECTIVE" />
   </component>
   <component name="ChangeListManager">
-    <list default="true" id="53d2c8fc-09f6-4596-950a-66eac2662d99" name="Changes" comment="" />
+    <list default="true" id="53d2c8fc-09f6-4596-950a-66eac2662d99" name="Changes" comment="">
+      <change afterPath="$PROJECT_DIR$/experiment-8.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/.idea/workspace.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/workspace.xml" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/multilayer-perceptron.py" beforeDir="false" afterPath="$PROJECT_DIR$/multilayer-perceptron.py" afterDir="false" />
+      <change beforePath="$PROJECT_DIR$/results/MLP-output.png" beforeDir="false" afterPath="$PROJECT_DIR$/results/MLP-output.png" afterDir="false" />
+    </list>
     <option name="SHOW_DIALOG" value="false" />
     <option name="HIGHLIGHT_CONFLICTS" value="true" />
     <option name="HIGHLIGHT_NON_ACTIVE_CHANGELIST" value="false" />
     <option name="LAST_RESOLUTION" value="IGNORE" />
   </component>
+  <component name="FileTemplateManagerImpl">
+    <option name="RECENT_TEMPLATES">
+      <list>
+        <option value="Python Script" />
+      </list>
+    </option>
+  </component>
   <component name="Git.Settings">
     <option name="RECENT_GIT_ROOT_PATH" value="$PROJECT_DIR$" />
   </component>
-  <component name="ProjectColorInfo"><![CDATA[{
-  "associatedIndex": 7
-}]]></component>
+  <component name="ProjectColorInfo">{
+  &quot;associatedIndex&quot;: 7
+}</component>
   <component name="ProjectId" id="35RSHS8xmtnia7nWZhfabhC6peP" />
   <component name="ProjectViewState">
     <option name="hideEmptyMiddlePackages" value="true" />
     <option name="showLibraryContents" value="true" />
   </component>
-  <component name="PropertiesComponent"><![CDATA[{
-  "keyToString": {
-    "ModuleVcsDetector.initialDetectionPerformed": "true",
-    "Python.Unnamed.executor": "Run",
-    "Python.multilayer-perceptron.executor": "Run",
-    "RunOnceActivity.ShowReadmeOnStart": "true",
-    "RunOnceActivity.TerminalTabsStorage.copyFrom.TerminalArrangementManager.252": "true",
-    "RunOnceActivity.git.unshallow": "true",
-    "git-widget-placeholder": "master",
-    "last_opened_file_path": "/home/arctichawk1/Desktop/Projects/Private/Classification-of-Image-Data-with-MLP-and-CNN"
+  <component name="PropertiesComponent">{
+  &quot;keyToString&quot;: {
+    &quot;ModuleVcsDetector.initialDetectionPerformed&quot;: &quot;true&quot;,
+    &quot;Python.Unnamed.executor&quot;: &quot;Run&quot;,
+    &quot;Python.multilayer-perceptron.executor&quot;: &quot;Run&quot;,
+    &quot;RunOnceActivity.ShowReadmeOnStart&quot;: &quot;true&quot;,
+    &quot;RunOnceActivity.TerminalTabsStorage.copyFrom.TerminalArrangementManager.252&quot;: &quot;true&quot;,
+    &quot;RunOnceActivity.git.unshallow&quot;: &quot;true&quot;,
+    &quot;git-widget-placeholder&quot;: &quot;master&quot;,
+    &quot;last_opened_file_path&quot;: &quot;/home/arctichawk1/Desktop/Projects/Private/Classification-of-Image-Data-with-MLP-and-CNN&quot;
   }
-}]]></component>
+}</component>
   <component name="SharedIndexes">
     <attachedChunks>
       <set>
diff --git a/README.md b/README.md
index aaf77db..02280db 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-# Classification-of-Image-Data-with-MLP-and-CNN
+# Classification of Image Data with MLP and CNN
 
 This project implements both a multilayer perceptron and a convolutional neural network in Python; 
 the perceptron comprises an input layer, one or more hidden layers, and an output layer, 
diff --git a/experiment-1-1.py b/experiment-1-1.py
new file mode 100644
index 0000000..e69de29
diff --git a/experiment-1-2.py b/experiment-1-2.py
new file mode 100644
index 0000000..e69de29
diff --git a/experiment-1-3.py b/experiment-1-3.py
new file mode 100644
index 0000000..e69de29
diff --git a/experiment-2-leaky-relu.py b/experiment-2-leaky-relu.py
new file mode 100644
index 0000000..e69de29
diff --git a/experiment-2-tanh.py b/experiment-2-tanh.py
new file mode 100644
index 0000000..e69de29
diff --git a/experiment-3-l1.py b/experiment-3-l1.py
new file mode 100644
index 0000000..e69de29
diff --git a/experiment-3-l2.py b/experiment-3-l2.py
new file mode 100644
index 0000000..e69de29
diff --git a/experiment-4.py b/experiment-4.py
new file mode 100644
index 0000000..e69de29
diff --git a/experiment-5.py b/experiment-5.py
new file mode 100644
index 0000000..e69de29
diff --git a/experiment-6.py b/experiment-6.py
new file mode 100644
index 0000000..e69de29
diff --git a/experiment-7.py b/experiment-7.py
new file mode 100644
index 0000000..e69de29
diff --git a/experiment-8.py b/experiment-8.py
new file mode 100644
index 0000000..e69de29
diff --git a/multilayer-perceptron.py b/multilayer-perceptron.py
index c6089b7..9bc2df8 100644
--- a/multilayer-perceptron.py
+++ b/multilayer-perceptron.py
@@ -1,8 +1,12 @@
 import numpy as np
+import matplotlib.pyplot as plt
 from torchvision import datasets
+import os
+
 
 class MLP:
     def __init__(self, input_size, hidden_size1, hidden_size2, output_size, weight_scale):
+        # initializes weights and biases for each layer
         self.W1 = np.random.randn(input_size, hidden_size1) * weight_scale
         self.b1 = np.zeros((1, hidden_size1))
         self.W2 = np.random.randn(hidden_size1, hidden_size2) * weight_scale
@@ -11,31 +15,35 @@ class MLP:
         self.b3 = np.zeros((1, output_size))
 
     def forward(self, x):
-        self.x = x       
-        self.z1 = x @ self.W1 + self.b1
-        self.a1 = self.relu(self.z1)   
-        self.z2 = self.a1 @ self.W2 + self.b2  
-        self.a2 = self.relu(self.z2)          
-        self.z3 = self.a2 @ self.W3 + self.b3  
-        self.a3 = self.softmax(self.z3)    
-        return self.a3
+        # forwards pass through the network
+        self.x = x  # input for backpropagation
+        self.z1 = x @ self.W1 + self.b1  # linear transformation for layer 1
+        self.a1 = self.relu(self.z1)  # ReLU activation
+        self.z2 = self.a1 @ self.W2 + self.b2  # linear transformation for layer 2
+        self.a2 = self.relu(self.z2)  # ReLU activation
+        self.z3 = self.a2 @ self.W3 + self.b3  # linear transformation for layer 3
+        self.a3 = self.softmax(self.z3)  # applies softmax to get class probabilities
+        return self.a3  # output of the network
 
     def backward(self, y, lr):
+        # backwards pass for weight updates using gradient descent
         m = y.shape[0]
-        y_one_hot = self.one_hot_encode(y, self.W3.shape[1])
+        y_one_hot = self.one_hot_encode(y, self.W3.shape[1]) # converts labels to one-hot encoding
 
-        dz3 = self.a3 - y_one_hot      
-        dw3 = (self.a2.T @ dz3) / m                
+        # computes gradients for each layer
+        dz3 = self.a3 - y_one_hot  # gradient for output layer
+        dw3 = (self.a2.T @ dz3) / m
         db3 = np.sum(dz3, axis=0, keepdims=True) / m
 
-        dz2 = (dz3 @ self.W3.T) * self.relu_deriv(self.z2)
-        dw2 = (self.a1.T @ dz2) / m                
+        dz2 = (dz3 @ self.W3.T) * self.relu_deriv(self.z2)  # gradient for layer 2
+        dw2 = (self.a1.T @ dz2) / m
         db2 = np.sum(dz2, axis=0, keepdims=True) / m
 
-        dz1 = (dz2 @ self.W2.T) * self.relu_deriv(self.z1)
-        dw1 = (self.x.T @ dz1) / m                 
+        dz1 = (dz2 @ self.W2.T) * self.relu_deriv(self.z1)  # gradient for layer 1
+        dw1 = (self.x.T @ dz1) / m
         db1 = np.sum(dz1, axis=0, keepdims=True) / m
 
+        # updates weights and biases using gradient descent
         self.W3 -= lr * dw3
         self.b3 -= lr * db3
         self.W2 -= lr * dw2
@@ -45,32 +53,41 @@ class MLP:
 
     @staticmethod
     def relu(x):
+        # ReLU activation
         return np.maximum(0, x)
 
     @staticmethod
     def relu_deriv(x):
+        # derivation of ReLU activation for backpropagation
         return (x > 0).astype(float)
 
     @staticmethod
     def softmax(x):
-        e_x = np.exp(x - np.max(x, axis=1, keepdims=True))
-        return e_x / np.sum(e_x, axis=1, keepdims=True)
+        # softmax function normalizes outputs to probabilities
+        e_x = np.exp(x - np.max(x, axis=1, keepdims=True))  # exponentiates inputs
+        return e_x / np.sum(e_x, axis=1, keepdims=True) # normalizes to get probabilities
 
     @staticmethod
     def one_hot_encode(y, num_classes):
+        # converts labels to one-hot encoded format
         return np.eye(num_classes)[y]
 
     @staticmethod
     def cross_entropy_loss(y, y_hat):
+        # computes cross-entropy loss between true labels and predicted probabilities
+        m = y.shape[0]
         m = y.shape[0]
         eps = 1e-12
         y_hat_clipped = np.clip(y_hat, eps, 1. - eps)
         log_probs = -np.log(y_hat_clipped[np.arange(m), y])
         return np.mean(log_probs)
 
-    def train_model(self, x_train, y_train, x_val, y_val, lr, epochs, batch_size):
+    def fit(self, x_train, y_train, x_val, y_val, lr, epochs, batch_size):
+        train_losses = []
+        val_accuracies = []
+
         for epoch in range(1, epochs + 1):
-            perm = np.random.permutation(x_train.shape[0])
+            perm = np.random.permutation(x_train.shape[0]) # Shuffle the training data
             x_train_shuffled, y_train_shuffled = x_train[perm], y_train[perm]
 
             epoch_loss = 0.0
@@ -78,56 +95,86 @@ class MLP:
 
             for i in range(num_batches):
                 start = i * batch_size
-                end   = start + batch_size
-                x_batch = x_train_shuffled[start:end]
-                y_batch = y_train_shuffled[start:end]
+                end = start + batch_size
+                x_batch = x_train_shuffled[start:end] # batch of inputs
+                y_batch = y_train_shuffled[start:end] # batch of labels
 
+                # Forward pass, backward pass, and weight update
                 self.forward(x_batch)
                 self.backward(y_batch, lr)
 
-                epoch_loss += self.cross_entropy_loss(y_batch, self.a3)
+                epoch_loss += self.cross_entropy_loss(y_batch, self.a3) # updating the epoch loss
 
-            epoch_loss /= num_batches
+            epoch_loss /= num_batches # average loss is defined
+            train_losses.append(epoch_loss)
 
             val_pred = self.predict(x_val)
-            val_acc  = np.mean(val_pred == y_val)
+            val_acc = np.mean(val_pred == y_val)
+            val_accuracies.append(val_acc) \
 
             print(f"Epoch {epoch:02d} | Training Loss: {epoch_loss:.4f} | Value Accuracy: {val_acc:.4f}")
 
-        return val_acc
+        self.plot_graph(train_losses, val_accuracies)
+        return val_accuracies[-1]
 
-    def predict(self, x):
-        probs = self.forward(x)
-        return np.argmax(probs, axis=1)
+    def plot_graph(self, train_losses, val_accuracies):
+        if not os.path.exists('results'):
+            os.makedirs('results')
 
+        fig, ax1 = plt.subplots()
 
+        ax1.set_xlabel('Epochs')
+        ax1.set_ylabel('Training Loss', color='tab:blue')
+        ax1.plot(range(1, len(train_losses) + 1), train_losses, color='tab:blue', label='Training Loss')
+        ax1.tick_params(axis='y', labelcolor='tab:blue')
+
+        ax2 = ax1.twinx()
+        ax2.set_ylabel('Validation Accuracy', color='tab:orange')
+        ax2.plot(range(1, len(val_accuracies) + 1), val_accuracies, color='tab:orange', label='Validation Accuracy')
+        ax2.tick_params(axis='y', labelcolor='tab:orange')
+
+        plt.title('Training Loss and Validation Accuracy over Epochs')
+
+        result_path = 'results/MLP-output.png'
+        fig.savefig(result_path)
+        print(f"Graph saved to: {result_path}")
+
+    def predict(self, x): # predicts class labels for the input data
+        probs = self.forward(x)  # forwards pass to get probabilities
+        return np.argmax(probs, axis=1)  # returns the class with highest probability
+
+# acquiring the FashionMNIST dataset
 train_set = datasets.FashionMNIST(root='.', train=True, download=True)
-test_set  = datasets.FashionMNIST(root='.', train=False, download=True)
+test_set = datasets.FashionMNIST(root='.', train=False, download=True)
 
+# preprocessing the data by flattening images and normalizing them.
 x_train = train_set.data.numpy().reshape(-1, 28 * 28).astype(np.float32) / 255.0
 y_train = train_set.targets.numpy()
 
-x_test  = test_set.data.numpy().reshape(-1, 28 * 28).astype(np.float32) / 255.0
-y_test  = test_set.targets.numpy()
+x_test = test_set.data.numpy().reshape(-1, 28 * 28).astype(np.float32) / 255.0
+y_test = test_set.targets.numpy()
 
+# MLP Initialization
 mlp = MLP(
-    input_size  = 28 * 28,
-    hidden_size1= 128,
-    hidden_size2= 64,
-    output_size = 10,
-    weight_scale= 1e-2
+    input_size=28 * 28,
+    hidden_size1=128,
+    hidden_size2=64,
+    output_size=10,
+    weight_scale=1e-2
 )
 
-mlp.train_model(
-    x_train  = x_train,
-    y_train  = y_train,
-    x_val    = x_test,
-    y_val    = y_test,
-    lr       = 1e-2,
-    epochs   = 10,
+# trains the model
+mlp.fit(
+    x_train=x_train,
+    y_train=y_train,
+    x_val=x_test,
+    y_val=y_test,
+    lr=1e-2,
+    epochs=10,
     batch_size=128
 )
 
+# tests the model
 test_pred = mlp.predict(x_test)
-test_acc  = np.mean(test_pred == y_test)
-print(f"\nFinal test accuracy: {test_acc:.4f}")
+test_acc = np.mean(test_pred == y_test)
+print(f"\nFinal test accuracy: {test_acc:.4f}")
\ No newline at end of file
diff --git a/results/MLP-output.png b/results/MLP-output.png
new file mode 100644
index 0000000000000000000000000000000000000000..7e9efc1176ce5b9eee280571912b044fa06bdb0d
GIT binary patch
literal 38509
zcmdqIWmJ_>+cio^r${#f0+P~fN=fOEZWN`vbJL}Wh;)OLbazWgcXvp4_qVps^S<Ld
zKhBTy_c#Uv-22}5z1Fp^YhH8CwRV`YqBIsdDLNb+9G1*m2~{{a1YbBf_+?aN@Cwh!
z{5tpragx+>dT0B|$<^55Bb<V<lbw~Vla={<YL|}=j^?&DTx_p6*!Wne&77R<93kxN
z*8h72o2`Q>yL=g~8n_FZ-CJ!(I5-?**bjW3Xs$UNT+ED&#2YoY<h=z~J@s?4*5je3
zFMW&D)U~*sO_z#}k-eM))e6kFRTUqrt#IbnF8esgDwFFj7j<!o*j_7Nq+Z@V@Y@l<
zOV-&fFK+5zZq#k29+$G=EFF6}hi5XP(gfm)p%!FJLE!%VrP4$Pk1qyZE#>?UhYov5
zi$n%42wX!`_=V0F_71Lw6yEE97c<kMrNiC{jEQ=p411@&_bmb=?1si4|NnlQa9Q`G
zHWc&W^frZ*+lx8dtg-EWvTwCaWV}|dbH~bzJAy5m4imUchqs;j<6m`D9!fQ{J3%OH
zTkfm1KkUrauzTNL@a*yg<yqfc?927VvQ}Y>tI^27vHnoZEf~(KhptTF<A_{Qv$3)1
zgs2pJAs4`7U|<*>8|xGPba!<;JvSE}AFmY=wNM)xin{1?Ydx4OkmbzyQK#C91d{T#
zwe|HEsjSJB(3itCwo496aUJdLmDoyJ@VZ5axauGN_9xJ%K0e$Y78*3wk3W1GNL1eu
z5q-QnRe1FGSc~9uJD<>Gc802WcSTYSeW#bxDm8+?T!KRLrz*<JwJOb?2B6?{&CT8B
z9KNGiB6|AtseB3~rrG;8)}qaz%0fM6vEezmr(^&!7Qf?P%-zYN53RoNIw5qwUMnl(
zj^!vYS1m0p=m(euRz*D-7F+N<Y@$y+oGuHPDA0_Xg;o_7vLq)bzx1LK6l_Qe$7!9M
zB-GWtCM;x?`br*FP{0g*xHe5dTh5gH+|%E00>TkfA33>1ba8Q!xIjkD#T702nedhM
zEVs}7xh8CGAD*@L_sb`zq*P&NNpX@!tZ!_rEH5h`ygE2InDSO4%>4D1sFZ-2a;?nu
z(7@yJAR;>YSxM6cY5D^v6|WVspPwHwCbF2AnA_!oD-#O~i+w~vHymN)_RZOt()D(3
z8Y&uEn-Rxw{yPSj!$tko`SLE0Z6`>o&y6`Do8DWnxUYyYE6qmy379p0ghM-mv7Gj%
zpQ50kfLmT2cT)|B6x%H}x;t$R!%Is`dwF@)UM_lug@rNM%j@Zp;|QPOzIpQoi~s=v
zftbfaE$pCE*z<zJY?vBcYUkwi6C|6^-BHI>6I8MVyVI}_WW>$+ZU~r!^X}xvTBInO
z^T5`YnN7n!FNneM>FF8(0a`x3%la~Y2*jbA!nM?8Ux&@0QETTMB*8OHO-&GJ8C6w0
z_U5bSMLJdOot;R0e0;%}B<*bhC?%e0<;}r$b#+3Q^Nv?HH;D&NDJb-J<||BxIPF&@
z5_zq|v$ALx7Z>N9r}XKY3AsM?FBdl)Afy|%_+$r*|KLGBTJ8KSAJ5?jao$;8UVfd#
zYkjp}vm{IINV{}9Rc_RVP+n0{w_DsmEa<{=x;X?AKX=?-KtQ1J{$h^XeDnzj9f(Ek
z+E+n-=bazh#91Rfnugwz1sX+mc6O~(Q*mIFU^J<CuM7o{E2bybm_N6$fh?VO91?c(
z@EENyRf5B&fcy@?5qX;>6#@Iu(o$Lol}~Md2HdMxufW*a&V(0Ajm1;FPGn9_PC~=O
z#d61vJBbW`Ky2r#t+$*YpN3Ms2Zol;n>DVluif0;kB7x^Vjz61tXN=l242UKW6ksP
zdO7k5VryLyVEw_MPfz;T<8Bg|d=3+NED2e4DqD>>eq1*@XN8L%Mny$^A>l#>QEqH%
za=(}{mGd^l$HzZ9XgEx4z9i)~YqczC()c@cd9u;BJ(i18TwGjRS2qGu?&0oqNVQvi
zU3g=+q$LMrKEHs#%J#NQ_g9L(#@IaVpVyte^e<j;n)KjyftQ*t7v)kQ&T!{(KR<uQ
z7!rLH0uWQETl2MM(c^PvCAY}+di1WrC3u5QSU9Dd3QC@$*bRR5Q@GB*QBxat*2Su^
znrXkgK26}ae-4HrpC*zrk|phUFfZ_KYW3m%mPE*n10Eh81_|x$VvFvZ6kgum%#Sim
zoFBR{DLuAmz_S0YG#?9%jNB|JX?_pjVQ;C03I_)VPAZa8!Oe|-Naz$3i<EmAqzM41
zM90m+gj5`Ieq2LCLj&(~bs-@k7_5NIC{e~FxQEa&FmSmY86DKFVRwBY=~#k34ltKA
zih*<><}^Wto0*w8J6uWwcX?$#N{4`mm>}Tz0z9-}coT*lcL2TnQv~C3(|l$tMVXkw
zVwg2KZRYvODJalza7<U)gJ5~gZ8iPv>dMXM?pXTfY+GDH;t4<ng1eV_l<w<KAFkGL
z4(c{3>s=2A>z#Lrd9Aea*8mg@R9nx%au}3vvVddoVasDG07<;3PyIk`HhErt8vQ8)
z3*VH1=KwcmX5$JjY^?ipanTG)CjeW<KnDIDNa}{=sjMvekjSl7*c$U`6OP5DZHv$S
z(dDJ--gH^x%}xP}cKPogl?eERgq&Vic9X^WebZ$hU}+?yq-1)&GeIuk5cusIF5C<G
z_*Rf-u((7DouDEiAz3XpCQt~v43~ZAMu$F>I8EuhJ|!jXMWOQY&18gwg+DKk5w>b~
z_xB(kn;=Zjg@ls9N8<5rrl++at_Sj9Y>~nj#Ky+PzkmNe0*xX%CPoqz*49WCO2wyv
zRRA~4=kE5-&L79~R5rRaqDo>?QYdPcd<4N7Zi3`u8Ch+xTM=_`bR+@cN`Em-EB)03
z;HJ>U^apOs$uAutIH#ca?C!4Y0itTHK7i%py0^Nzy3%v?*E2SzK|@2!z7T{!VlA{O
zxIV#>$7r_F90Vr-6iak+azBW@4dic>H026-?AoB<;d&5}fzjq*ihL4pM3!_U40Xor
zVNkUaLItZL`BWhikdhaNOGDuV%(a`Tp7Q^SY%>iCTef-k&6J#<XTurdd-HV_zpEs$
zexeo}jlWZ3(uCICo^5Br_2P)$Deqhr78a`BQbO<SJOBKV`Sa(`t9{R9Ka?K;pp#P5
zM7(w2@ojBw>6w`RR6<8GCDGGiD_LpV`-3U_Jp#U`r{~7{pXeNK6dX!5I9P%6?vuTG
zAGo@{{u6{c{vw6nUaYLDiq(0bT<EA3F}$L}v94ruV}r@Z$43?fFlKMhYU}~}c&`cn
z0~ENN3cjR_qM`=eMzoR$)1?juA&WBH$IF9-sfb+*P)YbuR&cHBKj`XQS~4UN_NX*p
ziZk@dhwGiMb5ywH<l>6yiXdb5E%&*<vFv)MtepPj$rHwfdS~XcM*yJUZX3NZfLO{Z
zDt=Yf($ZRuAInu@Mh<ub;^iv4hxo$~dOuNlxO4a!5e1vk7c`9DcvB4^y7;dXI6sD)
z8)~PO?9bK2-OTqV@s-R+)+nWk$bvY@4}BIjh29;9m>U`xq>dKp@^yB0O3KK|F&~$y
zt$Vfz9UmWu7ZnwqoDPX5T{wd_Oag0_YY&$#k4(NN*PCf^^}!=%YWR{WlSR6@aJ@fe
zqI-pN3WuO&1)?>bhH>_5T``dA!lB!}nF@l}GnMAi=1cdNOC?+9H=Izy@DDejQ4_ot
z@Horcu4-%)>g?{8b_WY7o8p=s?o*^utf&2V%4BOeLl)${{E+Eja{ku2$H&vZ1N2{+
zAAFYToeRvV(!opgLPB?muLzkR5?FVSuht@yz}t<H<O1ctub(j}f<<0#3kc8Ddk}D6
zkCK)pzg+#y{?fPHW&t9pf=^FRFA1thz20eCb+t)Bg$;^T{N>Q&kO@3fRj1NSB_mRM
zoMjZrY6BBlJVBr4>({S2`)6lPczAeQ69q)t+S(FQQU;gxu1ns0si~<sn@t|)2-GiM
z?$mE$6LYkV`@;{{J6q1r&&zKT5)zhw8XyInp&E}>CW4HQ_g-B`+w)>?1=hQh`OAJ2
zrvl#bl#sA%G+Pe-{M5wOb|@H&?5(0A+o?_`YY<?U?4UF9;de)PQRwOE$$nuduc^re
zC`>Q12{MzGn%Y<JuyL$%=+B?9Zc5KWvE%9KX%3e?t!mpPgG}9X(1Cs`ra%C6Qz^HU
zoOzt@XP1_K`~6!2+{|pYlIiwhzu<}?o$-^eO!SMG>BqFkyWH_IO`qnI(^DCF`JZ4x
z-Q3*fkGxA7TUuH~K^NxQuc)Z_0E*Yd#H19wjn}RD*AoheGgubTd8}vo0PM%I8yc+M
z?xsN>+Pb?#OjF%+#(BbZ=N_&%sQ`a}mm|+~8J~3g`<c>@S=WtCVFrefz`!T<F8k<4
zH;rTwQUIQMLZ8z1T6wd4H3!U}pP!$@a*}1tl3BBuj)rEXer@CBO;!CytnShA@k&X{
z11CisfTx{_g1Xy-28CMy_tF3|Q86%RX=vKcYQcqYS}i`_VYiptV<F&OL#{4n9<yOz
z7*+Q8ao%(fFek>%;I4}O;hOQ`5+pji{X7PHBb<@PkWP~a&-V5<tU+XVF&Nx?t3+Mm
z15nG%%Ca?!56B~-gRgV|9Ff&=*b}r}7$5^i40y%L?yjW=?OO$frUU0)@T67uWA@)C
z-+x-B=z94a*AcNB&<P4A0U(Hj6c>8)t$~_><F=ly9Jd5LAZH2-8Ij8S>}g*ddoFAR
z4;GRlMIYj8Yx&2Hy>HHp&$dPYIUt~-qLPXr?F2E<$*_0jJ8?!uM}K*a?6a|1bhTzN
zUu&Pg)_cR>_fF_fmfII4CnxSCKHE<K(m|TQ?XcehZt6cgtc;0_C?X;PXs81yK6LL#
zy=^cUP_%eZ{2xS)E-t*bP3MGdZEf@iN#DOabX+!_JY-~K<OEi0*~i%*Uy7CWdL2H3
z+IBjaPXNiKm@4$=Pc(!1R569SyF0+3A*cELcex<pws{!(k|ECFKw336HWqs>k&ToZ
zcc|We|Nh+#G+J;GHmElkABI)5VZBpWWo6~=WbEnDk<star}SOl1`>Hb1A35%S8}3u
zX8F<5vJW&!?Mkz#?M=IfyX*DM&A7L4O3D0hz*;mnH`7xpByz(u@(==48mQtI6y!2$
z^;L~5?`;hX4vuxB#KZG9DB-)O(YSMTIQL8kIZjDQnG@OM_Qg!n;toa#V>AugIy-{~
zQv{!Zmi|sjxD#Ms$zvPFfDD4!M)6%=lNM;*U`bX0=ro=V3WDYn2$uVFM4Ad-EpJcG
z{<$4bwpqWjdP+gi<K3nxxu{RF`B)ARPpwI|%`zZSr(2++=@04vDWMhKw=OWv^ZxyN
zx2u(q?coeW5)zUPgG;Fv?1^*tUGRTccC=jqYA&Vn1Fr%qdbNz03Vm<~l52npde_z)
z!>kQb7BJ(y(Rvpc3j}Rj<U`jN<AeFSLY=B`Ft)Y*eSPcmGn<QDyVc)lFp?F^s*8$+
z#UmWfprbeQ{1e+o)e{5ZKU=aNn@j=K2?mv%z>w<Ze|@@HVKMP?>`7?SbtB-2_Y#tl
zW!7`NKvQcsy1fGUz#KEJ-UWCQj5A%IY{0=-VQDD`AQB%SU1r>)ztjsjb+<K23<iFO
zJ(JU`C>&ByXF9Yr9h9*nxHhnvEF=M(`vbs}v%Q&Upix6og*{_uPFO4m6P`Smohda&
z1fs4#O*Cz>$usE!*8Ds2*iKJRJKEa(0OO1GC<3*V1sW?Hxu8p-T0sZkWb!3M7-(oK
zfUGRTe!zn(t><C^6Z|6jaMj@?KUJ*1JzK>LixYSv!&-MFXgvZ#Cq1+uyOaqGLjcck
zT<>{`FUfTLc@@l!&ne}2t^4$Ek}aqg8lWAN#Kgt7$Md7N&s!cJlEA}{mmVK#e!DX<
zF#&otZ`UuCH8Q^AToexg-ImgA8D8Xek87+sIhkBlRaKVUm9~X$cdBG4Lp+3oG=d)Q
z+bY{tK?@NGhIU0MKwIE6WcwW3%#;TKA_mh40O_RPzC{&uJ)jd6ZJ7_Fr=g)K)T{gc
z^XE?oUHH$s3?&bDdJDhYSpion)NhCdb#*eSYnyP9#&4hb+aA;fz$g3lo~T^|$D`#o
zP;Z<7UqMF{)6gIU`h3ZGs3EFE{cy1f4Hb16fJ-J2f-rqEWe9EheGViyzuOV@{q5zH
z*F+}hxIfH{h1^f*z%02(eqL>^g9y{V;0EnI`uq3yH`AYWM?rIbUrqVU)YSB#`PK&Z
z0~8@le7Zf}UnYPL^YksFTFYRhGiG1K4aGn=z`tWK5OV@mG+tg_Okxh-APgcrGBV3q
z=*hawnBi&6MA--FySqD3B~-Fb6Ksaf$$)|;eoFuJ@ng)(PFzsg1qB7$jqB^{szsvK
zbJa+-pZM(5y(ogQDP*mzSU~dDm>Yumir$}%Vd>}ARvi}AEUvctA!b`V&P-4LxQX8!
zNYeZjs3?gaxtlEF?Gbiw=yUxs|3hE>A&7(iFUbP8;EjneC2iOpK|>8Yeh;*O*Zuia
zZEfvvu2NdK7x5Gi2&~8XPA8blK#J?4_UiGd96Nlxj=nUIX<}jsOJ1i6`MdbgJ1}@D
z75p5<6rF=tHa0dOZ%P45;FT=(Txw}A<tpFoW=-wZ?N`rfm79d+V=8FB@|%?u1kLvE
zU`ijTQL~9(1Vy?v%{DB2Csm`n=P+^&gCgLcsVXZgXWkNx#}35D6Z?QJta{lyIQW8#
z>$Lt=LLcZ@x~tb<Mp$|e*TfJfM&+ARa7`Lw{9*+%HhC!UiePTj`Jyvd6Ov}!O&MSy
z?x%kl!yP(4q)MKDCw#3U3)t`R+1a`u3Z)UC1~6qmn5>;uZ?ptVHH{)2$w*3Jx062%
z!1q}Pn3wUfFP5C&E?sP@XJ}{>h-qMD_4R!Yd&Y1AKoe#HjN~d&fzD|95^*g34dT17
za8Q$DEl?<srs9AO0=E9K%^&G^cXyJk3`~1^fux=Hx!n&84E&awItXabm!zbmZG{FF
z^<!tZvk~cQP^`6}`eqtj*@3R^PZl^04u=LnCi6Wn4_I_6QPb5B_<`z!DQ%cggQ?J!
zj*tZ4F+`B^)UU(?!=kU&e(ef)381BCgHM6Ns_vg$1Xpo6{*|9!STJ8~6qu{AH3cmy
zTjPcKTs14mTrcqOpE)`2If!92<mmL2*?9mkwJ!jwqkumA1{CZlnBoHfhH9IIULX^I
zIk$@imDilBbIi?mlF{CoERq8}4K|dL#uIeVBt!wq2!c5ZHMs0&YL*z7eEJ0AnJ*NR
zd-7DWwx&v`Kscy?X4nLUh)F2~^L7C1*`6v%+ctnnRw|z>8rW|jKuy5ff{xVKUe-`o
zm(bPxcXRVyjg3B7H1$t%=U{}b0I|2mawGE#dqD-p^Vw4BR$IMNh)1X*a|0^A(6D8Z
zdvC?V=FHL=JoWT^%8=`0FTM_NFn{3>dtWYe1I^>U8pZ$!n6R+NSvugKJw0z>Neeoa
zZGAF!-WqMm9)0cT#4`iMG?9UxC|a2L0RqVvBl+^6+-58X3rFY(4wPxM`BhJ`egn+s
zss)7rn`pXEQ}fj-2FySJj)=*xZMUQ4H|6E!vJ*9pseXtktA~e5Ao=nDu>b|P0g}&n
zy43j7^$f0hp3WvY#=s9v<ebLsTiqHPbwEIW0Wa?*FeQ5X*jub#rr3Sl{&LdW`a_*C
z$e~wO&$}PAfAyVt&=2BX!j}QRFI&ICCA_Jr35bKtJK#+90@9cc=<1JC?b<z14U9EU
z#NWOR-L7qUxRC>VC<WvJK07=6N8p*rIyqHtp9A8%k)NBY+TPxd574m_Si0Ll41{qq
zgEfB#Y9M#KKvM~LU*TzKX)s^n<4~&bR76FlVaQ2ytR~bOh_S&`VVJqCYVY8n3hc}u
zrfJ?9+GX!0gL+%_w&!eH)Zwy$WXLw?`}0S|z-<MIo|^i#y_1ug$Jthf)lzelT3Af@
z4?iGl{|pXlyiiE|>E`LlJUBSm3rP46;4Z}7qyj0b0jmp`WV5%oS3$-i{RwnX?DhRA
z5R1&9MpUh=tYp3RG`sT{E!<;QcW3A3n1Sv2QXR4()qGiU(a$x+=<BdEp6?Lpe!E{I
z_v5~&w^!8wdheVKG*Ea-N(xx35*TXH7pnkC>;>>bR!b}Xy{&BtXizW3gE3Vu4i+pS
zFPNF-5;%<gR}T(~YwPP@0&1fI^IZ>ycC+Q;WIG8dD2iZM5FQc|0=ow0JORMBN}#%&
zsW6SXJ!~;NK0jB-L=G6uQ=$DAeBhbL>DK_mBHW;a{g}&DnBZE6fQvLj*3PaJf$^~E
z(jcK5_}xr^kVlPXN@8>xaWDeyCmVuI@dNbMm-+emIcvS1hcAb!K*+D}4e#6|LqnAh
z8c!8FCnnSZG^znox2^h759q2G@QK7`2LFJ77(kNa7)jKvj#oQj5J~`?>&}4zg>B%5
zZ~~c#cMKz-z}is*<gN&|D8K^%E{%$T$96Ve8kq{$HhwlT&n~KpOwED|*~-dFb{7>I
zjYXQv{_M)eM(1pmWfit07uYZ1eV41a0n&<3$VVg8GU}CY<|OC<Y{z#1AXs#(3&%MP
z#6o95lNW~Ja=&wK5N-^^2RO;12@s;On=J6o1_)gD;$kX5DDB<hKwQ3UP^o(h4RJ6Y
z<?HLK`iv_O_b&}vdR`SW4rM<O5MiG`cK}Bp*bE|9%K@rL?}Bivx?#p5kgVbWb`pd=
ztA9Lwni<|h{6BkPAO7FB$)aDs%t%l71*8Mag`$E@l?`l?h5q`$O&S&%nG5Q0dRE8u
zrAZ1^RRVBA(*R$$qzH!Xtl6{!%-90#Y|_|F46judh6U+9h)7SKn2|@oE_k`x9)tm;
z%gmYQJgE$V7Fy>*Gw2adkdVy(bAe4D56)8gVx-=`{W)2g|1bM<y{)hhiK+cAPBY$h
z>Ip@8jOAE=hPtDCQPzSTP@yY(h(m$8wyAENOhEmgoxtDc<ku(~&Bz@szV#Hw-L6O7
z`$uO6cE_yVcMDt@9FHfbdvsULDBLYYvtrGJ+X#fP-NV|{{Uxzml=OwBWg_s&CxQ&q
zq7{2<DUGdFgB#uX=R3!&HU)!uef0l%Mxm;Q2gKamJVzQ(jTsce^*4L)X5*J9B25O~
zluZrq`Q}8Q=`6xu490w!75eWsq`C#@Z$R4SbOYbHSA>K4=?^ixW9GW08BGctH{lV_
zmG^<O{#xSyT}`cQu!RD8m!*dd2l21JQnyf)7QziB;t^juU!LKU4k9fdI_wneGYAC)
zj$&(=V85ZUh}lEMu+n-KXUnNx_4e#$bZSh+DJ|1F{J?!f<lG>;M3bDh^RnT+;jw^=
z2Zal-$DY;s^c=o5k?@{%iHA*A_d&S#1?*L)=`H82@B><~n~JdU>Gh8LTLBy<)6dmI
zZwg-F@>a^)Z13!ZCne3D<2aolr(l`rvDAs4;?<7VUDUZJ*qMl&dG7y3EJFAWH~Bis
zew#&vxWJj1CtOiFEbzzy!F}S?0k5YI%}ii(daJae>EwFDyK|Ep$F5_BT9i`^)&8A>
z>O>%0He;C_tL#~Lnkhq!cdF*w7<ylVPnI}-)+=XHX1sa}rrcuVQd@UhRYO>Ys7Q6g
zHwVAIo&@*UR*>c?y))FK7-x^j^i@$&4zDJ_KR3+YT4KH+`<$xRRN~gK1^v=BIu($4
ztLKhWTsuT?8=<MMq!NDc&P(XE%Dj|h#&F&@&Ae}hMszL8-s=P}bN2823sQ+l|FEmc
zdMV-~ouGeNCm=4^uv8{wH}y<Cn2JBv-!(3+8ezev3Cy#{M=Fn&d*Rf{>ee~r_^t#>
z5g_O`ju>flZg^>wH&wK=RuXEX)aK7XQ%W(upC0S?XGqNy39%naK96A3I!8YQa;H5w
zzrx=VR|d{9{o-86+;HgKE(douBl@)_U68w^jIlkQxrdD`bp(ARJ4dWY%ks{y{$iZ2
zQ_AW(*I}<o<!hQ(T#<oa^cJuA{2#4_2Tp5vjn(Grr?;|obx@6w@Fn*T<ON)>?VbJO
z(%kQN`91WbmM1iyHLh+Rv@LI`Y*6(oSPGDGJ~O^Ykqk=LZEHGZSHhHuKweOHw0x%6
zTDNbv<i8Vn32_1@>y)Vc4|)hBae3KjFiliRS@|1m$5&0+%w%!VtXa=7`HH(r{&jo{
zGdqrrY)g(0r-%xwN&`v6x2LX>Vy@LD{&60Z=nlnD3e%QRRyWFXb_O@(xL=Q2FJJpW
z<uKB53Eo>~nd)tN%uiOcaaE_R++s0=eUaN-A@SUrZ~d$p95|BE>|8U8PGeEpj_@|J
z$pUk+jv24fjN`B2=5vT079(w2fo3Je6PK?OCo7@7(S)tC-&&{(HDxs@mu&evzgV00
zu#(2PS)M`~h4Pp(ob`CVDxw-YgBZoiL$G92BtIM%zdag#KMrx3%B+B|so$V;Yg;D#
zsTf=ecXF$%0~b`wM5%ZoPdWPq#gluvZ-ODd=2EDDc2(PxJ9T6~!0ll2#S@Pn!*(%L
zu9qyzy8GW1#ZR^~O-jrJuQAt6^>4kJ7B-5fS2YCReJ8>!_A{b2_pAE$pHWJbMH7u(
zn{2$&2reL4*|$Cy8ZHufcFWr}HpBVwo={9Jppk_qK`y*Ld7a=f$>CtO$PLmoi?ut0
z+ek`C@1`kVX_ueHX82<Ll5Z4%t~U3D<3{%_r2J5ilZrLcWOJL&XVEKBpke4#A`O@F
zU<6m%lZk>haDtgFPBoL@Fx-Tl_F#5%4&rMX&?l2>Dt=_~)20DMSDvUS&tnt-{RvSZ
z<L699D}JA_NKNv!tsri=J3TD<9je}i6#ue{sFv2CQZp&qpN5PL1nk>q=esKcwT6mE
zjifR17kY?435GD&FKa5{(2ZTdaRDEN`>kg?eX9XwUe!0mo6+U&A6A||G;DCQV_LPB
zYQU>Pq(Wy4sg?G>vlbArUt{9`HMsSf@-5IgE}kwnMhXb}`2C4;=*!Hh-P$63{orc!
z<)IYQYmWsPMFx|Tv$Wf5CdP10<dBi9vdBqebei7iB!lwvgI?&ntT%OCy%G>I=XrhY
zBDYkm*2Vl;5loui=K$-~`xiBa0)$B&OuLPIX2?5-k}~=6Q+lrqT}GM5LtwWnFK&R{
zPO&H?z>%%y??;3Bi(?l>O*$7W*%zJ%ZJb#e<7OudOcFfyuclAZ;1z0XEWMkxUB7D!
z4wYX^AS5YS8N2Pm8IVu^Ko%L)31JF6e?|DK&(r#$^33w9K{kUfK7%)#^Xp)TP#xJ9
zero=h&k17eMVLMhX;PW4_z~kHS)D_=T(Cc>J}TeoQGoLmsJq|n(H`816>U}1Y8r^d
zZVVMK$bUL7;{7?am4RcHZ1xKjAaDBC)y@1|8!EqV<4{>)EH)G@G@1L<2HS;HnjsKL
zum<t3aNgi_m1A(!SjI$(jx_x*zq<$I1Ua_Au0*8T<6ZHT>)o>A%7V=|E<Q9%g`zTP
zkyEFAe;FN4N-DgfaaX$-(XAc{KViO$7EQ}J+JeYD1ge7rI-#VQa<sO8MQ2i|4tHOF
z5GDFvapG>ftzvWSgm`+9oIA`IaW1B&qe$A{L<L%S7lN69j>5xTd*xU8PzzY^<q1{H
z{h*8i)exHd94TG%qIJP<dYs(g<`!4HdG_~CsGG@nFfJdH2)WM=hBQ&Z?ke{66RAfc
zOg0_q7ZOz!q1vrW#iD<DkN6e!`&-)vgD=j7-JRbO(==~9Di19>f4#oV6d;VleqBKA
zYCwuFHD?rQ5v~(@GBdkHGR71iWsP|4eM{1;4-H>CCK0;1rG!jguE)?AJ6TY7z7NVP
zMXXp^+DxY=oA)>Bx5XV-+06?a{vufkcOaDV+gpFPVmY6(KY2LFUySzh(UnNs9cd%A
zg7#%plr=)ay_V)*rM)-44YZf{t_=410u#h_xKn?POgla_iBF$7h`zYMYHL#*O0D=a
zf8OEpqJLV!L@#lY23@6MW3zQtrt}Dn=Ne-hC(`!&x{{Xg=VYYh_$axM%gLju4?q(2
zG>C2DlM>9z>vxVvu@Wz2yyx;aA&kniIW`yYs=9ar-Ph=Tvg2gu*-$S8wS49;^zkD+
zjqF>Itgn|1cDTcDmNYXi<<e_LAe<SmuJ5gBSba6+hE#MPgp&7|y%a$bTn9-BCI8$D
z&a2z06*y|!FVec#vkk67f30Hl&`b;#nD&q*jGBo{X%{yrkK`+B2$g5SpR_EZ`P-UA
zIN1}1Cq{l~=_7eZgDp>;3J+!8L8s8uE>}*n#_b(z|IQYIqaHuAvlA%6R>EIY?NGAG
zo~a<)?i$mPcfwngs|p4gQJ~Q&97axYdGDifI`&aLPzOpfv-tAZcI=gXi$;HwvK%%r
z?B+Weg{G3FrH63!H<On9v)tyc=dAiw@*!`s$)7fiJ2yiV^1a^2T|3~n);2UGQ4S>W
z@k#fH%~$faQTBWM#Ap$nPayQOF<B=(y53nkyEZ{=u@x0JXyYL)AZi~q(F;tdX^Uka
z-_%d_MTzrkaCSLHvu7m)r%j3^rL`!Y4$XHrJl#_-J60C8hICHtDst{du~lN9)c!34
z6I}oMH!-#Q_wV6GcgF%sacT?fER~g|4x%foiC2R!KEW#w^@R~3^BPO+zCQENu29n|
zt(Y@f6#w=V<$`VJ7bUB-B}GhLh6!eR5S?#$CdWs6e&&v~_){%D(i?uwtwt)|)YUm>
zhHGmv)7h!h#+BP%zHfP9Cm0d^Gv28slgZRH;`agBlIdjZIM`XPc{mX5MguK8Nx%K2
z)*YsFe1BWwF9~SP3ZNFpjZSXo#Oi&Q^qc~bZa-XESP3R$@#@JBt-SY845P11ecXkk
zDhlNme)Q>J5;1g6jy$wd_?DZsO->?6Zy_j1CVc5!G}IM$bJAX<VE1Yok20wX@o}zG
zSoCn+t?`RK0pW87f`@t{ji!tj(4qr>=}C|v5=dGSG+UxB$%saKN`kU`kL!bz^AoR#
zedB-Z;jvOd_xR;N7BHCZGusbV+>5&(Xt<x^R;5+6#hTuPa5e+f)rWphm>Vh=ei;?w
zvoMeocWX?m-=4|)S+FqHO(q<H%#&CM3!(^TzCxHO#*&Gl#XK6wViCQy&JwJ!Bxd0v
z0u`AJI-uDYawE!=niIu{6~RFgSf(s2-chLum{bYVk??`)f<s)mt2h2aDa50rRKA@k
z?|HsTg(iJV!}^@&C;4n*z2vwEEY<frH2V&q3);iKSdpQ&p3vH>K9?G2lgV9aK{Q@E
z^u@kug1_uXV$go38=3?(A+E+xIdNOiTYrAqtk}MyFY0)j`TluaTckJj0WQCLhc`z0
zkX(A4p|RLJ%k}ot_HaPpF>Q;g5!fJ%3$2;K%q+@%4gDl2b@{mCB$P{-H1{w>)lmY6
zC=2`ZGHsT5o*tWQ$js2Hh-Y_q9A+8q#_gQ4DYXa4wKWyz7^4|8!3Nt~iS3ZvT=Q(^
zI;ik#=oEyUMpm$bz-JH1v?i~>W1a^w*bBA#0w8T*=QnT|lNp>xB%YD7M*1<+nhCtw
z=^KJOUIfn7wi*(lYIvRbVrLUEEpl+OvsA2ep*2ZS?>RlQ(wbQyT=_erK{u`Y*!o}6
zyA3NNRm;zQ!7ioycWK1Eo;l&Nlut%Gh?-6aZQ(+Y_|ZE<{%SS-i4W78cDIp6hGotR
zLAZR1u-U2E^BrX(z9N-=UO3ylv=RsZ&5Lw?x2=OYBbsIVg@k%EY@j@u3UF|ON(@iq
z60_{N+jrJYJKA%{V}#KiX`FC{nxF1ePeC|o3jM+1Q>}bzB?f@{5-Q6};+!NBYFWSE
z9rYF2E#nMtuf*~h&y#CUh=*Fx!PczM&Ahf#6<<d!F6;5v+Wjg{Ky)OS(;?AEbsU;s
z33tEIj5`5OX_YEjQ+9fp`;4;+TUx8U9YO0H`HqLuVT`(#S*VPJ^n3#L@b9pPzoH^S
z6ehieE0xfJmsFRDd}n!UeXHZWxNq)uWN3#m&dWwq7!SL!j@cBEIXn|gW;J;cQ}oQ=
zajtcdpz97hU=f8(u!#0q`!ARbk0Be+#J;HZP}J|GTNO*3TtSsH=5CK=U%rg`=Kl0f
z2P`W$RW=AdDs26C>LAl2qWw7E{!q8emq$;O`B*L@ccNN%wb5F(=9U3yr3r@}zU6R6
zWEa5wJOWESJT~$`s@vAGk47JSpBlDVF9kG3!!9g_sdaxJW1m`5t1yKD<HI@=kknOC
znXQXU<2OD`rfpf2@>*yVlt0vk1M~b~8hRP@!dAiuI2IA=h1ON%jgM`axki8JoYf;=
z1gsn@;7%*<_5|W?z)}xhj}5))><9^f8>uv{MZ|i=(UPB?5iFw~YmD}+?9RqPOn>vh
zMhllN9m=;jctQ8^Z`rwtKTt2T)D~+S>cYw1D-V*xyGXDF)p_kB8-xot4S2vL1n%2R
z>na2v$;AtY%Qj?>4%Mt6*3Eoc7xs7p*vhy6bmKkhrL|vQC$b=q$cs90G+L3+I)2F*
zH0;45)QB)20Ll;59uYRH_{x$^8GRgS&Qo-4B6pQtI|+qoLJY3p_BPRpW1j#K-#I9p
zpfp%9v3Y9PDd-m-O<$i%7Ws0LY5lOX$%QPke=32rtu0;;?=vwSKbK&I(WK14Rhwn!
zZnp2S(IxiWnNriYWc|d*B*)8B<dph2u<DmZRY8NDu9h_;T$asC!*EBE(x40*gOF!r
z`wMB^`0FeU#p4V}wFgctPbkAC76Y4D=93gfQwvx@Yp|^0-HD*PJR)o@$MPBV9~#*K
zZa@=A0t+c)wj25KWHg$d?9c>1smlKQ%YwE0L2E=$O=3PWj~2SM`@mA_e@{1GUXxEU
z!uf*EBIxx7%-tEnP4vJ=Jet|o@Jgs2I}v*X@{%Sn0hX(b(N2iE37|TzA^lK%bO&lD
zYN2vMuOu^y1l&yYe~%qInuOnSD!sJg1oEL0TUsr<kS^Yt!Rk@UdvO<um=A?qm>WwD
zRmIt=3cHmY)(>J<?33%`{Q^?3_IEu`cD`|ld6fujxo>A+z(mN%pBe5mm%kG<#%CC(
z1vz;^c{70A3>QW5%_-8CuPd_vEj9_EQz2NTH5%l9D}v~vXgB9Nyy{Yvg(s%=>a!XA
zygMZ9wtmvI?VWJEKn4a<kkrBBAzS$gdatnQ;SAl2ftjHNiU4iid<I0_@s+X!PkzEU
zgNP^$m5PWTnZvQH?_b?<zE*e;+Gz_^hcyk>2A^Pdowf#_qf=JgrpwuG)7-r5A0pNW
zhd1qK7j|CiRe>JDgi&x04|b*pJH+zQkYa8er?s($S={LF11nqO4nx;VlU!%!t9@(U
zVrF}ry%>l|qtAy^ma5b8n_GkOR)Q-rTL-12P4pn$Ya5ZYp8+1!Um72He@jEd^6dCP
z*47dO<4}$i|4cS-L%(jmHz~2eWV875vmAfDt$&VsBUwjmds~>p0aA;kW;wl47W(AK
zVq3tXFD)e6yRLgrG)X?PON9R7+-9|}x#EvHX%cQ#SVJ_0cVb@0^PdF6V(UNKl0A*a
zx_3^CpRFt+Ew5)=>xqp!&9www;Jj||Y-7g^hUQ}@{j=yUhXVIZh;JFjchOVNGu{l5
zo`%GB()&tfwF^E<4VN`DDBSD!2_L9Rv5BzJKa(&d^2FopEpd-cN|MvjN!*S~Wn+Eb
zeiC8j>CRi4$q3NmCH)HB-6+*pb`&zi`3pqMRAgSlSLAx3zutXADMLwDS?aq52Z7wr
z4$6lFs>%H!1^TUN+`+aD?Kw(qT3T4}hH2pOwrr60vRbF+=G>H-5@B!*9PDo?M1oDE
zq<c!Sac;!K>lHK8j=G;L*vU#G5OVv9uO+J8EcE0kQ?K3J1S%<Voz=w5UJ460NpvXM
z*a$?t)(!&<tWW)!WQz9$PkG;WFXZQh`I`}GDBcFDrn9y;zYD242FmlE{3Dt~?ok4f
z&h)Jd$BErH^~7&`dYH=&Ri!9J*n%B~z-}=o%y5^MkO<UXCCq%`SYGqd=rhE3{7GR9
zJ`yh!8~W96UJdmCJ<=LDs4%1&;IUn7l;{`)#$~^&eP`Z_P}&@EBSA9(QjaE7&j-_H
zPc?tZ%3J2}_8*-qg_w~a20tvIUO3br2<-28mhYP&Jo7Lx829Q6ldCK_)IJbE4uB6>
zaqy3ijn$|FIY%#5jb<|9r}ZH0<i{7x(=Ej==Rbk&o>02Qgld>Ba(G0IdHuwykBW*l
zkS8oOG~H&QK4(+&;VXOFA2KK2Z}w&D5B+k>s=0fPdiQT^F+7s`ZoQIzu?8c#Cq9zv
zNMI}{eg0Z%1jRIrunwtc3;w(<0H`Vr!=r=f?J1OEIg21FXA|erthH+`?#lfgJ_Gxw
zqt2Z*@~<)*el}R#SEzw`Gaf-Vs|RM?*=Kq#67&`nU-Lp?E#-~HNp4M$aau=c3HM_*
zt%SnrKVLKn2wDWQ|9F*MeYanLZ-M$IrB{TZ7K1KDBa%7R4NvdR^7l{%P=*g>Yvgbr
zptCCP9~oS${}z93gZur{B&*>)%_;VI6O37l=sJH<(xA-pi+m=!Fm;^xOggYs1N3ab
z9E>iC9a%(hbuEya@{BWi+Z$161ZDR9NlyjG4~sztjoU1w`Xed*TBvgtZ2fvT&MCWp
zpl+D<SgW)8v2||eRPot(y&toI-(aNpDAV*EiIclt1<r~rL^9`mp%R?d2YW06&<7!K
zbQlmViI`cRmr?ejhpiKBvBI{PtwxrP_t6sPs`%5_Svm#sOo6`D94>^leYerLn)TaD
zOM*~;>#+$Ny+;j>^$(~!dCeEQ998Kz`%8u*4|i-@uSiz03;q~4+@^0j(l-S0yno8-
z3pOOC>N1F&=P`fhZj>KS(<4_OO+o1Fv+u~YZiL9=vqfyZYi2hrUH8%K#X`x3H(s5q
z#D>JiE)va?Q0nVey;`9AOpM4FnCHRkLD8XWSd7MK@vTxT{*{`-gOdmGmB{=<79CV9
z)B)B|@=8@CB{QbTBN(`9?y9OKc_1~<fNk)~v#kyBAO&Y34LPNMoKWlsj3rA1RsGsk
zM6_jaIEg6y%9wkVpC{r84It?lKYr^oFmdDa-=2yA>qB`Q;JA7Z?<iJboxhN?dp>=1
z>;LxBqnk~1nkTT{XQO;P+nV&%@VNljAw(LZqObNzOQioo3ml|&1FNe4bDJcr?N)^X
zIu}YdIz1Hg7v2V+m>`y-F5Q`blHR2SvUoVpTk0BQUjd{!=b{qoKS?1rU%IN%+KKX$
ztag?>5#x~z(|lxkftXSsMIpqDA_g}z7T9FqQYrih#ChizVHo){q|zT&&@qfQb~zqZ
z7<>GN{f>Hcj;u2Q?F-eB2b2GeRj|AAHWxXS5&h0nx!$ipUIVYc{#i9NOXTnz;Y$+Y
zSIWd-`oO$<7@wKPPr%aaT%}#!^uev7+)G|ACK-M#A}tI2ftz^&W83!c{>ypo<X@`9
zaaLk?mrJk&8zR3xA#t`IK`Th_+y{Qse+hz3c+F?O)Cg}lb0luEtf!MrIF5$_ck*V_
zWRwf(Y!LQ9+)prGvYMkmgH^~F-Ze7rAYjh1NjZI1cGK7wZFh)ZcQFZAaiHYCS&t!C
z=LNKBD2->!w|^L`#Lm5t<wt8d3t8)H>w>HC#t|2JLZ%DjT3U=SuEjSn(f0LW;0|sZ
zx!Js1vu&v6b-TSCR$xf1_?#z<Lm98YrmQ9lM8@}kGUA9)EHCkDD8_#Q6afHeI`+TG
zfV~iOnwQzO??m;ms`cIu7+)sP6?NnbzrSejoq|J}6@|lLfuDl>yB6=?wVlA7dc%4T
zzl~hXk@YmTCDW#c6p=PJpy<t9Jox^bBrGYj30x7`1-<<4#InH55kfZKoY|B*2J0@3
zKuBo<31CxJF<%gGJhm@m5MWMYWxxYd{?s?%%kyr0f05l+*SGo@e5np5Ekb20sz$g9
zV-kDb@*O!_Jz$Qq`<fzd-Tasw0ayG0SD;o9&uHu;8xT-RyBK7E=PApml-`p$dk&)*
zZKhibfv@nvsAoG1Fc;{0#-jQg#U`b?EGZNRDo?N&`vauz)3=q2vYrAJ1B>ma44@8G
z8oB4e4B0luA^g?&PP`mf;=|jOU*Dn{cmCtX3ddH<Slw(<i79}_^1L+`VS%bI9NZCK
z1(}mY;<oR=%9taG1FD%gZckG(+ygkbPRKjQy$5zWazttNt=n+e@Ga_pj;Z@#{Cg_U
zr1CKGT>JJDg4NaQg@eZz{2mtIW|@DJ7O_8Jh6F(0_$bEAi-GtCY7;~v&bz$y`@F4w
z+NEAl=!xT?3iwa`dJ?Xf-q2c7x*~>iU5`>y>vvNcj}mQLm{M;q-0>6~<DEv#LXgAJ
zABK=y>+?VHG|ih67eQ`{$XNly3G<!gSf_PcA^viMJi4|54OpHlF5M@qGR^q@Z`LVJ
zh=}2;m5U_^tOvd~3soQ<Ds$7*Vy96YfB9;if9c3MO^_YAJH|iq|6ID$vivtOzD8#_
z4~jj}xc0i=EJYn7QdeI5HCR>@#>)*l(zJnj5$`YBT80W1S^<kX7;3FRS$+uG2^XvA
zUO3C9hv|@%v?Rm@u|{|;haPlY_|tNu3Edr+q0Ls|w{va)hx)2*mm6$=jIv-}+81qy
ze$9LKM~Ey>7#)-i5%%I4>%U3}i<;EK_t@3^Mu>ILHvHlHzwjpsKL%;IwmV82&8H1J
zacq^y&Ln$J9Q*Ofz>+wIc>Xz@AQ?sX>KNGA8G|J6L_1(t`{di;coFT9^I%D%s$eM0
z;xrk+X+EArmQ{sRU(TPgTG`(8lYTN)doF4nz6y|pXw32YxEUMM!ahQYywnbgDQYFu
zneba)k793Y?swc&FmK1$Omku;VY@?};LJ!(J{4?>#)~?(w9Q5*L`_(u2@Od=xrKqd
zMPb(rOn2l#v~`h0XWqa8dWFz4RIIkD+5cV#uHpm(xDQ=|Svne9SHh;>-Fyz<4-WAA
zcQ$X17OpPHzbLLuT!;MPSEVVGhJk{386!-EPb{B(3e`e|H0iXznY<+soBuM977*>a
zeLvV-dd*ca-wtkl%X6M(_^t(=ss(J%yh&9Q8qcDEYco)sAFHDjwfgew7j94~1Tk@<
z?ayNHsm#otXqwoq2Vo<+lrelEqt0PXhxoE#nW$6{Zsw11v!gsij~36;n?w>Vd5q-<
z3&Wvk0Q7~CjiH&0K$U%*iQ>Nrx{mb(<dW^*KDLL42agns#QvI@ZAa^0XE^3~%yL`g
z-&F7@IG`QD%69zIU^6b2fd};Nsk4GTSLy7N(hrF2&5aEdN{@As!&7l%+xI-R0@DT+
z81Da<eOl5L8kCnJRjuCO_Xzl%KMbnWq6+Dp|M2<xlmtY(FQy0KYW$iotNM1gtzg8W
zMx{b#d|fbnf(^oA@vQaP@wU7^-r&!N3>Nnsh8E%ZgspWe14FyodB+z@sqz*UzqY}*
z>Qo}0VyFn7TkU-giKaj!soM*c9fc(SDq9inQAA$)G<<CQZwfB=ivW?2=H9xMe7%Wx
z7v$c<y3dW@ASC2MK9cgTS;40ub31WM!-Y#k@{Ml7a=kB2AwuEp92&?N|3_Nej670f
zKS^e@2G+{_hk}7krcEs;>fqE25uFedgX5>Aw?xjKJs~@z3Sy`#B-IyoQ<z(>c&j)C
z%;*#5*p%n}E*J&Y@co0#60Q@N!rmi}%<%<`5>+o#u^OKXeVz9gi^zIKE2+ZZ!x)6i
zOAa%Cp3?-<ADb7(`kO<h3;$4QDPtIYvVk|n<5CzJV)*!!GATSHTG&~b{Mt;C?l@n-
z%g0q0?uPI5!^vGo|Ga&yNJcZvnN5MxnmyZllftR<2o9f=I3lv&Es%%G^%-}R$xRiF
zXj@7=VC3@oN5CUDl{j;Yp~`(HMeL5vukgV*m22j`3XnBie2>>EK9c|C);(nV+EXqP
zfur6VH!Z@vqq9=)y=u8a$<oBD`2KkWpCy;z%Q&g!zeduRxV8oqqlL2{fH}T>4w0%v
zTizVV1!XtMiPs7^-F1Ea!aa$zw<1j-M@SwPhiCFl^LIP)yTtqgOs3bbEn$^`*J?wv
zn0#%gRaXM#%~8nr#<?)-36OLKJw)BoB&q(c@tWK6YgcrXuJ7lJ*p_>%M^e>6e@p5!
z4+B^w$C?bNo#XWRl(eBZ8~4jsarfUzXV^nw$<+;d@-NN4dK>OD`xiB>Jv*WNpeHAf
z6IZE<wiX@c$?>Am1lG}!hwy%wux^T|Z~WONseoGJ^)XiWAI&3#qzrPCn5bB@qc{Dv
z?iuo5E*{=d{MX`01#|n>9`x>Lw$C=E%JBvq{&k;;oLa`S*k@?KYBDDuPyl=rdkD$N
zVuncjP!rYI2JBJHyEqG;X=t58tZtqV3M0Lt_@7U{_&pT_HXi;Fz-B-I`3B7bH`oj2
z_78$uU1qyz154!t7DMVK!wg!c(v7M3%U`o1aqW;*%!`ewOhXSNy833m>b8$piRH2i
z_NFxqKHb@DKeOLQJ#iZ46rzzJAfDj;b~MdRNEN!VSp1R2#UPsE3XzQ*E+A><*D(f-
z1X`Ea+s{D|*741YL5@|qiY2Kr!q&sdwBK!$$i7Xc(O_Rp`vs19a9oA(;RADDA)0Ym
zaE(TTpKFTD^Na9Nc^(7BmxbQa3kRp@wO6oy+s?UdJ^pdYLG{-Kue!(iZm7aQPIDy0
z(?(r_TwLeIQ7O)&QHcM`g6a1vOa)XGNd#f??fF&=UntH*<{xS@(O@9?D9}@=#$Z&3
z{?rorkLj;7!o(N8gBR6wL|9LjyoA~+rSbsTQ*1_JC87^x%y8p;Ta<w1waveG_hy0e
zE~8#C7o04L(OnEww{0yW_(q8$U`|i<DSex`6_j%$<Pnz@VO}8Rn+!O%07o7<MBOu{
z(g%)ishgP<z%3e(E4o>c=CXanUER%eemhlt!oxxMI=T%P^7>!i*=VS^=g)kQ(;!vG
zKfnIbd->fW5w4l*7kye0M9NAQdueHo5_~VRWT)d*evXH+7;4|zhLzHgG8Hd*!|zqZ
zG9g#XXGP*KmyToX9C)_&jg&X0mhi<wcRh}lUbY0~prtotQ5=4;(6)Fy<++aY1H?<J
z3QO%-Ye3nZ>1)RNL@lKfY8(xDjhY4#v_+bKDT0mVp>fU1tpLYI-Vh2lMieCx+o4N7
z!7~km&p<vjWa+FPnB;zR6AOLmWa$XStPTOQ{}UC@t%Fo&Nug>k*b?&d-SQqvli?^V
z>Q(#|=d&ezTPoYSW{Gf$x`clU#M|LQzsRjMWlOvNG!?Iwraw6tMHOi(h=^T5qxtpi
zb6YI@z)mS}W(ldj<h!F8c?enENi0wv@$%Q2lYYf*5AP?|@K}mzqO0=8T)tjsA-&BH
zXo;ixngxxg0^3q+Z{=U&Jk;yLR$;=(WbSn=WpnHI0HS!IpClgMSUboDf&?d{88#?p
zT#B$om|UNzpid(rd_Dh0>r&(lI>u5nT#5N5WnjaBU03PFFtZwK;m(1Xw3JPAYz7$M
zo28uQTF5kBTx>@%myAw`qxP8rKZo1`<;kn9j}!7V5<Cue?ALY|!QXV3C-X~hSYh?$
zTBV33<nFqyl2anw*0zOjgZ8ekHCeHTu2mnLUNhdttmehES;1*t4dD6tVmW5_zM90e
zI%o<s>e1wT>Xo0`Y}w`r{LX4}U?)G8qPf+xrt0_70=zFEz9YF|EERNtJdD83-UD_v
z`WI4ZMDkRiQCk-!DQ+1+6j%>>)FV6W-ecX}l3&$u_OWtPAZkr@L_G>m=Z`<sNO4b5
zgQX&@=Q-)>?tCpK#ipxhuo_zmnMI0D!Y;_on`<(Bq6yu94;s7>Fc*u)XlN<#blblv
zQRj)zbRVQ4eSQ%;Z~DQPkKN!=MD$FJ!JAR`&;6SeqwyL(qFZ&4Oz`Lt=mqU-{O+$1
zeTN~%^RtcEygcR{wYZtRFu!~e;!83&SbFukuo`Xo?+`UDwh)=vRM?cL0jja^*SoA@
zbnZKhyt$_?UMSFcY^6h_I0p|_ESsaV)V?8Rox?NH5LuC_?Y2KCd*n837n~r|Qe}G9
zGe{c3<OVXLO1R*btobE<Ll9d;ro(O)2X%rO0`p$b&OYJ%Fh`;x`8zsAGc>D7;T$E(
z4ZWJ^{-f{~VkwUr6jLlT(ek!t_yOL`wdBU@D$edb!Co3#Q!4u=9YyWpZ>lQFa~s}X
z^f4#Q<vF?b{LPKu7k_F>omAOl6?ZzTHEn68$HHoeLM%xVaWhG)N;cno%ca$J4=NNO
zEm6QNSoCcda?a5oqnZ6p9hj#9cCG*IUV}~Ek5pR!Palz|cXH!nD-r9;>0b^{ay=oP
zvewupOhF&UCg`S8>D@%Q{u%^C*;R`EmAe@+IBJyRojQ2Y$jSdDCD&3}1{E;q(QT)k
z^A;X}Z4RvDy2u{7#COJ>4d#Hx>VVV!_O7mc!Z`{_8W(>5T*S|Ye*o{?aceEV3jDQp
z-t~aydiNy!>4PAy>W5;g>5)$561naBwiKH8Bj-aUa0(5+;N+3XU&0@=X)&6<DG}of
zc<qT`-?GP*OtEZbT2i&*q`;P`r~R&P_uj<^(<@11$U6u(@$>&Ub;toEAwExBHK=kn
z^_P<rOD{ERHzF+4l45>-rD{xUQ&*50cs<5a04h9slj_rBoe93=8x{PE6uH0WNYcc^
z@*RH5Vxbm9e-EX`AjRuMFAGt@u{^%Tdki}AcPLty?%6j7%z?wn;CmL}FlLT)9a?%c
z-<B2i+AosEgt*ph|LgDwiYJx9Kl65}b|>EMC)CdV;aQ$Ze}CD4t)L5+`^Bma!x6`!
z`*N<7`B$Z(5jSVLHU$$BZ6E>Z4DUDKynQ%s(>gd%I}b?zBky}IsV{QB^h7%HS4%E1
zG=Lmwt+w-^<t8gW;3B25pmp-8d_ToODCYGf5WDfA4ES#!+23d&aPJize4a&}Yw>H_
zaC)~yt?=x%tF)kxdpfNt9;d=bBhuTt;a2HSkLbn`Qk5FdTCH>O>f&Pq(vq%aDSwzR
zG<-`!e<;dW@K*O^r;*s7+-K4{qI**PZVGkjm}1@3AeBJq(cTWDR`0b>hxCrDm_Y<J
z13|Sy$oT2-!^7@U!M(R~JVug8Km=96E!aya9m*(jpL{XZh)w+(k!ll9W@!Y&{L9@Z
z42DIjU&d-;p*tEwb73y$Leo&TASjOh@=7XJ!NDgY>~^p@w@*XmXAm&T1r9uCZJ71Q
z2cA>m6ZqR8T@JPgy`tmMDVow`VL*x%Dxln5&ZwqV)I#zxCTK9sl^&P=gfI>9ZR;$g
zQjB;DSCYeM;b%q@cuq3&;@kbEs+Jc=^$y<uq3bQ6stUjD(E~`QA|NTDg3{8Bgo+4A
zBaKK%cXtZ{CMAt@N_Pr~ba#n>ba%aV{Qd8}|2y7$V>on(o_+TI_7`i-HRoL7(!Ps@
zh|tpv-3IsJsV7(lFRO(!M1Sq}4SejyRH!-GocP0K7X95Bi~me}CduVlzS`W&tEB>W
z^jI_IfGowJG6L~Jf3#&~{;x4FdH4i&3F9XT$|G#ngjDSbf#&-Xm$CUIA^qsdmZBaP
z8ZvR_2~EmHo0c4EaEVrtmTRnKK^C5;*IaD~A6|(B5T!n3qf+W@(`L<L_(9DJyQ>Uh
z(0;e@<YyPN4&@8j!9v3%*aeBg><(W2{Ze)y`!q}uQ^nc4t#%Z6#rAzGL#k2*QC~Ai
zzwx5UwIRwAt3%C)$JOWJ3UTRJCX=HsYrk(}F|rvGkw?py_&mf(oq6}!zUYA2(S6Qc
zf7vu~4g8M;hPMd5iUkW@IlKDBeSa~nUYPsRDn$mB|4ec38ao7jn-Na?maCmPAue#L
z^5~&fuHplXhf$Y2{&Y`U8H=vVvQg#O5zAwGe)mpU$s{cwHI2rrC@s^E2q()w`K^|~
zEC2bk+}8}%g*GZ0lSf*8{J>SgT4}UzXvL^bk4~z4i3~%*%3nw9(fRc<yystS&HCRk
zvX@MyK92IOA{R=#aq>p_X0V}BRZL=M<dLKP3*0O7#7|l;e(sksYE+6v$*xo#S5vr@
zdovjdqN^(pNrdd~6XyDt)Zug9A72-Weja@K#bpr4I*Wxllhn5{uA-K(m9Xe?LbVWh
zF-mrNPB`o5+2=~!e2tI{<ef_Z1I<>wT|e>I&^oZk)ojG;#zVUkQwMVZUTir<M$gfD
z0J>}Kp9%71J%3pw76dE|=4iy`1qoYFZmY&womKfQID9pwEPXt==yvrS*NgA?L?4*1
zK7lxoMAWP0d)T^g!q27Xv-$bggyKcf%Bq2k0hQPclh=x&iXcm<H`hH68mg+d&FC*>
ziY`4J&!YIcMm*^uGJL>8aoFpJ=AAVO&`piWqcl<Ds@m2&K73}~{VtlAReLRMOr-0P
zZ5=ZZ2%Wna=qppLzm{R5GxLLp(?xLn!}|~I<;rjOt$w>Nkd1TT7k_FhM0arcdHx6{
zLe<Ts+<cESui%nN$Y3fDbdF6>_r0=zcm7oM8NTPU{IPi4^B%c>KEBw@=!ZXD!ZR8!
z0e|v5ApDYxT?TT|$FE<_-9UGtt22*d@MYa%AJ3AcF%R-r501k&;>KgFu?sz9?y7HC
zX6*{gd#;3I`weP-d)8fjDv{xftLGeN`P`m-9_vRUM)E%fQ(E*hfeylzHi2>DxA_eE
zdlcBXF+BvzS%F80s1>LsSLm5&hiHbSgak>b0=@O{`gbh4Uwp-Kv?Wf7hKnC6?YwzA
zzcCg4CMh#DEBVk@<UEY=0BX%fEH9XE{&h&sotSwl7wu>7SY$YvEfw+OTMF|jyD)D!
zY>!MF56<10qUiK2jeBG7l*~?!4*N9J_}@Q4gQ})qYGdF~{KNlM>l$CUA@O-A+m{Sw
zli=GjY0>;xYiN>-!&}YM*0y9)Pf`d7HUka&<{$B&^Lb2MyR26CWY6_m<b<==QwRT@
z86|Q??6i1NAJ5klSh!{1uBgbB^<-xp5uFVNp6{`Z>$mZ(>F@Pqz^Hq@q^s-1wyJc`
zjrv-p&}Y|(CjG|l?(TgXM@JraZHbVN`)<?>p;19v+Wlp|dnE>{{T8z{pBhWNNTeaA
zGk(3C>~tl1%>H}|LsZV-gxRcfZb@N&NYGK5h^vnqCB9}^80u9ay50gM!)uPheRU`$
z&IyuW4kUhbN)^^{sZj%Ic(b80cBCBooQD$W{P%1qDxq!nhdu>rme0zuq9xjnL-BHY
z1EC$gXhMSG+vi#|9WfD253!{}C^B3u=gOY2e@y)3eL-CAnZ|auq(<f@s@~d<4T<8m
z*|m$=fGaBBoxNmQvddaZ(Ki-Ro#uiVMag|Xvt?tstIgic!k;%OhTS|cw7%l-c+iB(
z8%^~JJ@1{>a=Yn+94m|Glx!J`aUUNcO#E577#-#}TIb&#8{;O*AL5ylG=}-dsa>KG
zOT?&#iStpM@DqP|-;uNJ^4J;c!PVT*t+CyzYR@$x{Vi<~SQb*MeQR|4Y6l-;5tz#{
zi^Y%vI+qgu{^Ctw%gY%6ygdY!a8fhGDz;DD5AeMJGL&1@Zpbau3gI&mrBd5mOA5a)
zQd03f3D;YAU~$QhOhSbcS-&aw^{8697Dm{nD}<uWg}z&otjlLAP<`qLNm$O(I@)v+
zZ)ZA8j#;W1s@r7lUQ;)vC4w|{TiaV30}}CFQx&ifb#cc7nJaQbmp3FdK7X(rx@Oba
zaqR||-HsFIXVJe?1pLB;eNFEpU&AIFz!VHAUAS)hU`4?0K5I&btw@1-*Dv&}wfQV*
zQwex09}00<*Q#yr+zU4fX1CF+z_?4uLE5|<J-l&vBq=_AAPf$9roz~No)r){rGFHI
z!)_pp*U{I`7;WncGWl!%Li^siaZuX`nUIFu9X4f;qID+7g5Jl(2B$LJ)s2Kfj}b*4
z$TRnR2%~Nr9mT!|T!;OL=yhh}g!9lwePPzZYY^jnmL0sd-Rg?@R<2_y_A=$TiXtbu
zD}|`}Bh2*ySYS2sjNkw0=e^0}fHXbtnj?04PvjfQZ;)$8eJ3L5^2-W;?}~lXuw(T0
zdBs2lOlW}e-c~6%q)8{&L>T};{sHFaxTE0Pz%xUaT4x3aY)1Xj$kj0aOy6+4yO5~Z
zb?W(|c}slqog1xvcCYkJ90J3I-%ho#5McSiz9^L1k~@AsD;)sLFi<&uUG~iD6CINJ
z2`Q-5BJdVA<5KSVs7ejW&|2eL_dH>y7fAY?ZgdN(T|WlL6En}UzijiJpJB#pqwyYc
z{PhfnF~j2e{#{)iHCrOC93gtKEDB{nAb*NPIPs26eC~QeD4$*3rH-ZOE&?oS*~0__
zrPHe+F~b`9Yg<J5EjJ{v_WoXSub<Ndd1)FQJm-N)L(wnMIf+YWb|1N22W+O!`?~xl
zA^a$DJ1utP5fXNapG3*zYk507H;T8fo^EbvqI!x%H=K3N1sGwrD7aCD)7PWTrJa9|
zf9Vv|kc1^w7_EsafrUFaN6;OlzQUR#g7Un#gO9|6P4^;ASm~A~mSP5vG9A0W@Rd{E
zyA8>us+*THl-)7%O-RNb(HG}QXH~B-GX=yXaD)p+G3ORuB_9l_8jV~kBdC?I;NwA`
z?QOOd5bMF-ze*GnJ&IU9zUhp#1LcH^;G{Vf*f7S(7^B{ae^KEn(XIKXeuB7B>^8^<
z(<X}f&iV_6J>BV~ES*cU5M~!NL_;5fQQw`{@x=j=+M{;&*5IaTx}^s|rZ1uHzi!0O
ze`a^xv<|<N99L2l#Xa-cY${x?AiTD73N~t-w=B;PU&9eVROtoK!tO{xD5m6$%Gntw
z!?GwCIJb0CM)@B2JyyQ%mwt0>tM&Fm`X`-5tB$uWrPHlbR_+k_46S<*Br1SThHOEV
zIpJND4824Mv(Y`!wyZjhEz;5JP`KJZsj2Roz1>2IOIY$ZJ8|r101-R@$@g18qr-RC
znHhaeJ0{Rri)rqST6vE?@#@^sr>hoK8?XFs8``RaATqeTORbgR6nw1|CDQG#Zk%u_
zd2VEzJ*;3L|J!+2U`+gAf`R{%gwN)cek633QyA-;fjxKD8DXd1POD3EGbpVtJSqhi
zgnydskat+Mcj2Ekv$^y~a<1lz{7HGjZSSK{AhOC4fLaxY|D1f$C0gahld@sLp&!;Q
z!9+tH0CzatudE!RqFJ4J0eixagT-%;hA<q3@*GgHIO=6RHAfs7L^6HgJ*w$hfM=$>
zznI^i(EOh9_9WK9j;lR?18$JVYls!&5QkR3TT)_fvPu$343RRbOB&F)@L|km7}2~+
z8{OH=iu&uo;jM=U(O|B?Q{?RkcF)Ipa_Hk6SE$`an+cLR8~XC7OMH-RPOJGmrkv#?
z@eX;wNlla{?(xWyBX{U?EX9SJ(cajUUfpG!lf!$jEi&D@fRWEfMs2Y2O?PbE^t7UY
zNMefLo$>Fs{udox*n^<df)Z1|DV06?ji{8U`HmQ-e4bLp*YMiSd3HjxU!e?S{4_~T
z@A6GtN}bal5P(1EgZp;m0W&zfPOFDy0r>g*8?b>Z$oc_f5Hd(f$Bw3rMprcLNO<H>
zz6`9d+TC7*dJX&dc}r9*8|S<r@j#;A_qwYvb%jyb>Q|jy9Ry=Of<pL>E+$;MAlK#4
zdW@q_Jx}PUfS~ET>`eHqCw+US;mL`U$Jqls<hQSEd@ioYeOkuo(_kgiUD<PBQ&ciP
znx9$dx-Ka~p{5L}7e#K7c>WcpQIz-nNZrDP=}FCpzt>n<L_B<JBK1<8iDw_+Ky2Lg
zx6#7X6?05i^;ZrpVZ=F_WjpK-!-<GX=gv1)=2~Q!LX?*^>F3v8WFl+sDDkr>FW=7n
z%`UidN7KAkZ4Z;LYs@L=ept)Poh02`7U}Cyo)6OEzD_~-qQ<}Qb973*8YOWfYvGjA
zQaSAS+3;+i==ALutY7vLS~L%|knsaDs6d(KlHr{diw1VBT*{w|bE&_z`ZRU3RJ`Ye
zigKK+B5g4fiUsd^2HX6SemiAL+|GJDnn%gyor<zt*`nxA<o?JHo}@4)D}QR3ee8D`
zN`u>q)nW1vpMSP@ZCk>O*PQ<MTbT~JhCYqoWqiSWqf8Izq{40H5#JIqg&47_PH6m*
z>WPvy;mNccvDJ6t^=LSHm7c*=Rx^<H{@X?!)K=kB*SR=qvEG>G75L0RH2{_va1(`h
zCuvq)1#DN9FyvM%ZzRMAqL$)0j6US1lahNebusCJ7@PJWCxb|!rlL%LJNoNO`+a(-
z8K(EuLalh^Ea$ZFiHNCf`=X;yu206|j+pNCj<h<;@4Hnqw=53MZLBfN6*d*3gJ$q7
zsgsT11dnSRy3pDgZ&-W-tUHFfA-_Irb^=DB!lHpuh$tTPA0|GKyA)rzw*99S?{P&T
zZkD;r(#@N{Es7RTw7zb)1Sx9<-3#c`Y{ss<iS4F^MQs`-E5AA$Bkqg|hxCclg-pr6
zT(3t1ODnTQ;bQL7i{m1%j$m?Fx`GpvacvhTRRT7=oSplcc4~=g2H5s*ClE=zfg7`L
zsNZIVhlYvqtpkz6xa!-dI#%oO7wx21l`A&^-i}$UMvf+>Xu!s7P8q^}FnMy&Od&*`
z(3A1&BJxPuSamHrdsiI~FnN7#1Gk^`NW$ErH^D$bVsKQ-+h5NF@$GN>yyJ(cO|wfq
zgi^5s#(;dNIjLUG6BLy(#Y|Mvid}A=Ae}62u{ZeR@b~iF1nz(tH&n+@Yf<}apaddE
z+{hQqlWAFmiRhi42-pnwJU;3}_Y;mkHg#B|tRCsfl0ph%mXAjJ=7!UOftI^n<=%7W
z`tHQTAdj+>pw0WgK15^Nw@J!}o(k{Xh}X<~^E5R|Cfqls&W9i_&biwL-ZSW8iYkUn
z7GFc*UXNq#0141OWb@NgynEB#<fn{s#aBE(;@mDf-0mBV5^2qWLl&qaL$RLnhvgnN
z?#ycEnS5eXqrSAgl(~anzUVzILGaCx5AO!`$aeQEpHyM4(ERq4Tz+fEgu~*7!xrRU
zk|Y?0JvV1zxp1RQ_K(uR>>S&i+2wfkL0y7tF$9lWmz0kl7nHt$Ac3et{AY-Ig$Sjt
zmDJm5Ox{D|szBp^(W2+oq_n0}{mX*U!tC4Z1ZKbHqAvLyX4Y^CxN<CMH`ZL^?h@oy
z9LQqnA>4#2-S6$Ys7>Flx>>AT`tJGAy${k0S6x#V?&*wYK`&+}-yWB0*K2#${z58$
z`B*F}1tVyZI}IVjjhP`J6-L?E<N*L=1Jz2i{foWK%TckS(5`9w#66jp!pyRgvF&ep
zii~rrMgA~kjgp{F_*io>bp?h5#sx8&z0JGBU!poqkXwDN4|pvVPs$N<qn0L6D#$H%
z#|DB?mE(hbFU4sq0SX#T0&2#_nAzb`I4rJh2l~pnc&{jq(1b6)(j-_BIJrxsy5b;l
z?{;CxpRk(ASLVv!6(s+!BKDUyjodqle%>?~H%+e)4jvlQg@cd2eqTLo5{L_AH2bi?
zEPg*gkhLk-;LA*op0XH5S(apq;(T}D6JR?Lr5fXG;!P(7Wk_~8$;hdpo|tuG(`-z?
z4>r!?dP#HQNvO`|nuidiHH&k_^d@8GejqGlB6daI7x1{AZB#7fClDlK1c!xVE2KNR
znd0_8fb7WNFXLUZ?^YrhBenR;<&sJ_U3dmqR1|UHtmBm2Sq^nEm%`<xR?vrF`*NJD
zC4t&6XR#jQAc;T4p|>e{O9v_j@1bbB$AiR}6QU^1sl<0vs07lPNX-neEfKd!(4~Ff
zk4ACs&G$H1uPd+Cf-Axv__2QdkCdqDOQCumQ_;3erNd3_^Wmj8T9O@xQ>ZD5dLf#G
z!H}n}J`TxUG}5J6*AAR+P|sPL{|U8rk5YOF?jr2WO9U&0##KA(0*RVm_lVq0T60+4
z8p}OGc`j1`ho=l8Of0@2yfoHz&8*01(c3M0jL*KEygcFApR*lmtiuQH-HQHAK20_P
zRWh=lI3<Bs6v0+6ywZ{%fA@UioibFbN`?g=tCthuD6apZVET#Di}4~;x@_7B6p800
z>~WvSxQ-o$IcMrN+H$Y~>Q1jquyZ{da?{{KKW#`q%tMjd@^jqEKI;-M;q+O$JV=Vw
z5_hq900}Q5Uf~zLFz=U`&lU(#&FdY&^hAgkj`k1Dmi=g%9QSD&3Cg%E;2$^tNH!|k
zuAV*n4$&g2+RpSjbKIuL+4m2Zjh9JT0HayT@6Fkw`Qg(ies%eY&X2RPmv2Mx#w3_N
zvB?@hl%5xZ2O(1%T4R%(CpQfO`1*^5Kq!ba61)(d_SqD)-p0&S@wn*y|0|p;KV<5n
z-MM+bhn1W~EGj7Mvazs{kaEHVRVPdIyiB>HhO8!>-663Dh`8{)!%1ht9Z+(MlTwE)
z!jz2>`;N)$_9mND!j$%eo4+!8#@fdJv;Du_Va~pSw`sV^W5J?2(8YeKWtTDBgEynw
zalsV?$;M&rsf!sc>$ZR^H|Y#FC_PB+*5E-AE*2MQ?@2LRxLMX2E4O;|S(X}W^_vV<
zA)#ekbsCw#t%P6k)62JJTZO|40Kfc?CqvoO5^vdCyV%zpD=%GxuY$bqWieBRpY5Ht
zW0nVhDQuz^^9@U?W?!Js^CDhVoAV+`eu>JTDn|=s<h9#OW~6C~tWvQyc-m;8_dHdK
z9=Kj4&XHbw({JM;P+D1MW=K-j*`HeG{gnW{jyFyDe2NMwsIJ|!zIMBizip26(xvn4
zGZE_CPcbtk-v3=kBAeaql@-O!oe6N8X7(ynoNd%QY9?cC%rB^BXT_+M&|lB{<w+&Y
z?Hc_>{)?u?UMA5=VfD@KY454AhdOQ|rBzzfQE@)MpS3l2b~dOgpG5CY&E|`CqfR}A
z4ZUUYLtGnuK-Qyj@7$3pOK0}uz@}~XrXK9WUY08=LpqQsoXV*&R;Ye<#uBc=Z|nAD
zQ^<;hbmZ+Ma%Y2}>{<SZQhQX(DdEtDL6YQ)cFKmwYpJPyjB1i?clTQFnN|Fq1`Q70
zW?yo2MhX<tTnkM}w`=SA*9AU(dm{{iVlpk^E5fY1-JvT7t9yT^7n3S>7;Fv$507S#
zMH~f9r*2n^rie;dajyO0m#g+sP*?OdQ4G8x-+11RKo=Cj+1RS7T07=dY-j(m9?0M=
zIm*~gk&%@iYI4O(uChaiu9_w3snF(t_i8iI6p18yC#}4kC-H}((i0#Hz5QsV9_`N6
z@k~XX=>biode=DFjbATi&)1#C_=pq7l)mdbohQp@mD<0kC`?}?CaGECd0Izo>nV^e
z{Yi9Sh!f90Q+3nLvMn2Xu4x<yk7a#tUiTk27!NC-SJ4A!<elpE9jUhTy~)Fp=YL<8
zbq+vvc6K;S;CbxBKyciu*(K|d3r3G@`nfWv-4xd@RIjSuQw(3$nGQp%f|hoDNsQnv
z<B)Hbp%>cMXFW4kw!xYUf14kLMEVG-)yIXFg^8t(1eZF#SkoRR(uI1OFw?tHQmUn}
z;dW%jQqbz5y$+Tv*d#v!Us<`{PKygP8}Paa7bHG<78^bE3te4SFh9!tWN)+c>}J~O
zmI}LzvBHXx;+1{n`o;r#Pm13Yyk6fxLd}`=NwmP~vYxzW#!UToR=!VjHA(L!{z~CU
zSl**HC!7qqB24ls^jbX?Efp*S0c{-}TYGyhkzaBM%MH3B*7zA0*Q9<dMaoV#t;NA>
ziBknmSEOQb1c5<yLza9Sqg2u0A6EY}y=X_$(fvpCi;B9Ff@$Nti4A8{Har)~ecq*-
z@+=)Q{UdA6I^A~nG|h*rldRy#(FqFu6~#8ec?m3LP!9d4oYY>tbxg3!HT<$E`7o*q
zJ*#1Go$A?<6$zOWTj8jAt2s%e(KaR@)#Wg7{fufH@=OOXSNHeIkF?K@DM<v0s6^-(
z2vT{oxDo;mWI~l{d>ncEUKfq@f6i8YFLdOT-@7&0yE~G~z~WubcUV5)N*^%%MgVLk
zhRtq)G-(!RGr_ycgoTH~;fsrPh|udqe&(k)#1%E2LIqbC*d<wKgttZZW?M#*FF7_Y
zrSq|wu#+7hY+hRS5y#h-hA&d+-WvOigvJ1NZLoOz>eXx;xcvw8Nkq2~J$Xr^>9%2S
zeRVleD0aNn-Rkh^Pp^jJ$NsGH^ScSCNBVouPni_H+O9S{iO%B601dw5m6_K0iQ5$Q
z29jHV&?^*?aj=VOyN-mAo`TKZn-)x)SLuQbdz)g7RXFWJ!yAa1lvTWikk&pckKt+A
zA>kEU8?WeUYPCIc|C#=JHt!A5Uf>iUp{b<JhPM)b;fz=0JfrpSohZ|eQQzg^V!>o&
z_4!>K(pt1a4DZsxu}xWZU}dO-mbSz<U-6HUxZ>!L1MZMu+#1w-Yu&YEE%pVWz+ED`
z`};uQhD69$+hgnFE%CCS4u2Z-S$t$a*tqR2cHBV<w_fN7<KTwk$U1qh?#9)r<~#O#
z_E@Ny-@{&0^f$SR%FJ$H20$6n2mu9Bvqt$I=sA{`+By#Ni4BcyG#K7k3R}LU6}~mD
z&wc{+iB^bwX(~<L#CnX<$}{tHbK|;)>&B?0eePDhgx2_d8@EsJ+$HT-Ive9Ca@)@K
zbJ|LzP^C|I<Og2aXAjN%D3n$H^K+K6(Y#6JBIlr&R=}Js<05Sqi_BW&2YF@!S7Sz8
za1f~ih5-K)9n$9-^$X0yZ1}Sr+u1r?W;%G~wF27t3kNN2%JDKkhxmaZ*J``{g4q^P
ziIG$1kj&N{mt=_~X_;<})L}A?`sAkxW|gLzlg26UeOSF9R><<#4O|S<PQBD>fyXy7
zW%dSv$9r{ssD{lm?FNStHOH?y2P>})Z;)0r?W*hVaBUx5E6eP`1G8G=d0hR@<<-M1
zYue;8UfWyR?2M=n$$#uFnzVG3tvYFJkY739{jYSQAF0+=qXJ>w9bhSiM83G9K7Fgn
zOqM(vW;SZwcDJnQ^$?$N)t5UyBM(HWNaa;3YQ)g;H-|u~J>K}_GRUvi{5G>$h4R|a
z4$I~NZF2ZX|5Paio5C|sbh<8p)AzHBwGW<OD*wpS`S^sCzxoy)+p1_CjhhJJQJ3$d
zt=wGGSYNn06LYrdz!OsLRosi&5kYz$0y1w$iC=G3fg7AN&<`=r{A%)&rUfjTYp#NJ
zbUeW;Yx1Vl5k#rw?xy6&y#8OT8#CpGSE)=YR6Fuv6nNVtp!#$t2_^E>X1Q=!Y$c7w
zjnY))@pP1xey3^-VS7~WWLfFi(X)s{-sjZgs6JO#qTO#@UiLo*;o(6|i{)%{SiAn;
zb~D#fy<m{86)oaEjpUpBcWLv?932}cd5**0xUx$#pn${6N3RH66sRGwQ)=wMTy-24
zq$v42n@0e2*p$Ys?Y3ryhjda{imrz}eVe*v(%Z3ht5WZE8h}+X*ZUp9AsB!^+q3`b
zszViXvr3aL1!|cB#}yccq5-|5f)t7*5u_yER)SKN2W3RckGb2yXrX6NhDDGl_uriT
zO^sTo>odcivw*6Q$K7dk7p0WcHrSwlaMdaDO1x8u8$VM!BhF_4-@^7?8?)Ngt!zsc
zW774-AA=V|Zb4hDBF{AC>yeuWOLJ^~(VWb2DR!QhY<|p6k!xFrEUGDfD5K}i*OE`Y
z|6WCnT>nxyoRC}sxv9-cB@n3XL#HuU$UweJaR9vj68BPP2B?XAdjFwwIropdI+pFH
z0k*~rg<)H7uAppO9=sDQ-H?C}dXhGbB~#EQM^;?}u}7nV`O%Fxpub^gy?~EQ469Cc
zT9o_Aq(*=%@-V6+vA~~bQ$h!(QZ3grYPFrSLoTYfGQ<BS)?T~maq->tQ<?nF+xu2A
zMM~6!rdt*xT43M1GV<Jakg}<#YDo^ZPg}W0fA8$+pwvU<&mR}{SX6+^2KD&HtVYmZ
z>2v=A`1A*U-(*wF?EFa@ROIJ~H61H*ikWdYsN*mv!yW|99wrEOr1F|RyoR?41agxK
zQ|fSzVA&7v9dInx+1YKZQf8<|s7%}`50hjKHWT+iloXI9w;79O(2|p$336{)$9Y;7
zwz&QNHFQTDS4)Fs1go`r1>rNkB59_?i^;5{>is12J!j{+Dy^>wWHsy~myr=A6u6;@
z(A{6peFPR#XfY{faV~U61yd>2g(>-8UH@ZbMj4h>`?PcGvTguvnzFAng1O`6iAU{2
zr8OJi2i$~yIdVJSB8T?oNR;*%JwJoW%Z1mc7B56Q$B{er;m6(_)&W5gZff}3a5Dhb
z?iIPj5=-l%z4i7T6i@C15Z#55e52NYZNlqc7bdvU(l5CdVih6J$b-TvZHuZ`D8zqe
zN-4{;I@A~jwX+vDUF_$t;}{{cRSf7{^N}hZO{iYE!ukpYd{V+Qi#2ESFDc7V23|V`
zYIdrej|&29%ni&TD}wTX_KcnOh!W(u5#9TU&<u_7EOPl+J$+_Wrs-n2JWRCeh}Mb~
zy!?hbypo(e`X3wBBBuPiX(JT1Wc}k%w^wouflS<w+;LyPZDT)VYtlQCFks^*$Ma+~
zr~YtqbM%@phgSYwMzd(c&Y^3f$*e9zK+%+&8cY|>U#<R>sN7g;^l!0pX*@@*<a+P{
zo6BkN<bsFW#qmDaRTQ|M18iG)6rE7&?aafPnfK>#tGsyUINdCC<Q>kQ!3^4aQnZ;A
zn|6idiWqig?go4dJe!p)!4Kj?Y-&>%T3sNfubb3N9c=Qu-~<-<5OU)!ioeFe-0<EQ
z#VR8`roaSzkKBSzx7Yj=G<KgW05fjs!>rS2{o+@(dIFP*oVDDD3u3CNvWTCxR3fx_
zrb}6%jMT9k7~1)YFd*f)lX7F?nmb29$pq@@QZvIJvR^oS5?GcmpQDcb4+cXb==Cdv
zRJflJS%3t3@zP?G0r$3(@kW1`DpfZ5MiP3BmrBLfF*fLzDHT-jC*pg!Bu@OkZx&3P
zo6JF2OX+W|oS)V|)#)Gid(oozZ5a8vb>|yU$V+Glgn^4sr>P3;{EaOg1yhFLz6d=C
zxJ1B2I+wFKS86NJJ4w0XOul~Vnekf*V2bPgeCG4Xye#6e%IEAe=K#%-_Fu02<9n+_
zj>ebj<_b1+JX#AOK$d)dqY>m35%gSz?+x<Neu)_W4~^fvwA{+=d{O4MTrg0=S!2Vg
zODWQ<WaSzs=#ZehT19>>?Dfv&gsG4;fV|oDXcp_=-GbJ~R~qxxF#sv`b(tba1#0Bi
z|5l&|U|7$gyRLqV+}GHClR9!%@=fOUB62V+1YURM;PA|>gs(neEAT~X`%TU8Jo^KP
zDC;7Of)~t|e{g}QtH`fwega4@i%{*|**JFE$E!PhfDZCf=wUP1GOX$^y`e6zww6Oa
z1<7TlsyCkIwl%sJ>yTRSb|9R51<QY59n2cH<S!6@rtD*B49BeILFoTVW%#ck=)uba
zp}kZz&RXs*+QIhn1>j8rDby1v82@y73ntsx!-A=+X@fdeNKrhGmVxht5-yQ(-J)K>
zVwINUjy;dfJ<hNsUg<Y*mNw(SB#HSigu;wG8jv$sk~co35|my7dB69{vC-ii`E?ve
zwAOg$k0;$|{$r{_@J4{gA!_Ahx@aHWv1WFy&!MP%$24VFCwZ{tg!=uR25$4bJt11=
z>r^5sUWEB+*&jgn;$m1S802y~LF`d;c?VsI0#4p=r0`uE(4&W&%hVama4_LC{ylsI
zzyLnkpq*R?ZDW#9ucE$+i@hShH5(4!2D@neW0^>1fU+{nv-aH{t%a1%lOn=To3hJn
zw%PxhJYr7N_=qe{eZ@ne408?Rtht_#HfFO<zjxHS-SNvXFRb?Gvf%`Pi~me7)x<NI
zit9(ZLn9*Y@$<)kH!AVXn<_kf_ka4&2DO|d%u!-Q=Armw7!sO?O77`jGR!I7P84BU
zls2P~_GQ<4wCZ|GXtKDIIMz3nscV+31>#k(;+cDG-SV~ND_6NPhv3N!Y3eVP&aEwq
zo>$dAtRqk#|I<5HAb(o4^oNkv;?`J=_^+4z6$_{BVXKbwK5^&c0+LU~V8nKyvqGBC
zweRQSx(-%<rPXxlfQ<+n!=cT65%sn003uRY9&r}Eg}`4F$8^3VtCa+yn){*r>S-e_
z4~ltensjRt<q@XP6HCKvX}`Mom<v;NT}q0ey70uZ4`k%~iy3PLZ@_euPZqATIwh}h
z2s`hU92~`yE@mGg+?&Ux)l*Z>QVeas;-Sp8q$+z4bO11a(l~!k*nF-d^Q&uNC)VBd
zWXu2C=upQSC|4t|#I%9hRY&;lq|f8#zK8Bwh*{LBNTbLtyTQ4!hag30y&*5&%-J{j
z=##JJ6J_(jlbY{;S7?N1GOr6#cTE#_zc1u1S#$U}0_<lNkec%J??%%C0XVKDYwLAt
z%kaLNsb@tsD?DGs?~#U}x~3+bNewdrC|Z9C<~Hm})4|?#xFaa=wZ?m*C%BWLgY|uL
zzXZ7KT`RgraT=>BVYtr1QE5so*R3)I<kb9X-r_#pe|f&r`M7p9_pb3tNnK^GBvB|T
zQm<t>Yqg-EU5&gMGXXF^q#qTu>7@eKImbIZ(F#mM8(7cis7|!jOr^~5eypQA^f|<g
z^lRKy#}pE+%EcF(nnVFV#t7Y~hCfENkV@{yX(~H6B&NV)MtWn|DgLyu3u8q0KT!MX
zZI0%3jEa4eR&O`(G>NR0VAx_8`X$n^PAe!Ni!^90dw<6#_0Y^VSa6<plj8?9#9nKp
zFNM$4tG#nS0%x#6xbMRo=h9}7V^J&0;GNiUU9E>dHao?ovkE|d(r&l9_TDaCEM98t
z|3SZDRC1svTbpA+d$CNNsa~)D{uHWijPv`qC5InA$7VVL@m>>zhl(|2_g67Qxyf*F
zOT$|=skI6sTJr{RYAMX9!-q}h7P`PiYG)uhV{FxtMeIg<GCSY*%Q5MENn(j1(3yr#
z<nQFq{Y{VR7N~o)W}5e@>vH&Aet2T$DUb2IvIwxFnnA`+bLz-f$j<*<E%E%(odBjJ
zxMQc1vS2mmoJl3(qSHm=#%#yca)&Fk3?m)qOV12O!UM<;fh=~5*Aw@w_pUi*3{h$u
zC`^aET6s_+FL4FlOtihSlrQl0quRE>a@2&_P1U}r!~l-LbIuf8AYB0^{!h>C@;xxl
z`a?!h22OQ~Es#u_H8dX14PL`3p8xwQKkYl4y3^IKP#zu$h#tY^?JH10?sGqQuIKL8
zKWn`JwXuKC3GN}G6AGC%Q#fEUGn@$}&_bn(mdB=)VN6Za9TA0X<%Xw~PM}5ur1p!!
zAm83(IhPXKV=NT-LKf*<P9K6Ei=aOxnokU=do28>RBW=*9wn4UJpOF(`m4B_$Y`)`
zis&EGTd~Fb@n=^RVNgLweyu5}p$*7|{Zb6r9nbo-Ee*euJ_!pI3&uyQtNk*ha=A%x
ze)z&9Bf`SBNv(H@7#r`@j#!qU&5SyZNJ4VAfR*LRSLUdoPgVsvMl1n8jaJLMF7tPQ
z3P$K)-8cX<LUl9&cnOKIbx9`6>x?|iddPi;0t{_5B8(Xtd$2#sKia2(F|z2dq1&Us
zHI?#+9hNxB&{%Ka32_Zqwl@>V-oprfJUq^ovk-|*c7(E{**)y!A}S1Z9_(vnBrjAF
zAl19)Kcx9Cb)=}IfA2hBF6KyzkHSUB7IMCwhV|F0A8qV*asRy?Ie>Yh(km&Ce~P_$
zpKHky^-PhC(Wm?Mp|$03eIjFL;zsK++X3R(ag994yDpG{Gn)dKBv}Li=XDMg@l|3-
z$m3AyWjk_5-M_^87LTrlX*#6`i}x=7_~h>8M*i_ZlRVHDKsew(SwH=&VogDbwlxhb
zBas(Kt?(T&9J0*D*5E<rW&|sQhdmQ*^j)cXF}Ino2EWp=Ufkz+;8DDL%lWF*zvOMK
zW-xp=J@TW<+BZ*sJp1{4h?i9M&U6E5N9TCrR$ImL9;c-Z&sZ_o!+=>}*SgN~H<wZ(
zQoxuDT+ibkiED9?W*MRcp4^dcYPIPb&mtBNknUe`nCce|S-e`2jt<g&y-4!V_0oXm
z#F8+2!035CQIr&XIJO`Uo2e_a@~q;Kg3ay#FR7vt_<#M|{%=p<xl@XmGq6AW+bIWS
z$w5JGy3(>WljBs9+BHnES=4^_PBC6Ec^SjZ81_Fxn>$P7F*5}{cJsqBDttGskZH{5
z2#CfP-*4(cgVZ(PF))yd4f=!P`QyVq7Y``kT%OUc2q+0_YNRk+HU1h+-eTT9zLzz4
z<Fb<aA=?+v+BC*}uj@1~@fEBBofZt{rTD8d+!ok^kzY}DEU}<9yg{)~rk)=~gV|p*
zv{7ULW1J%w(*Rz%n@z-?5`8QBfd4`fHC89{Qz?O5$ZFYz7F5<sYsk)<^^c=hf1{n5
zM0t9&=&s)Gte0!bz3$+7W3|-BUMPoWeHXdf)OTLLm-O~ke5R?QiQIdushe0|OlnA#
zJsg|Z2FIOCw>-*6i4jtaCiX`PlP5N=cdF3gd4_cVM>Mhc&XM(}{}@_d*4Cn@TivO!
z+tGpbHzuMolp6{X7n@%QrvR9_8I{|iZ(|c&dW*m0B}9u2KT~(SyI*hUnGb`dL}$`Q
zYfQu=a4;y^xmn>^6K-g`0yE}^9J1@c|EDW6*~8zR4Ugm>)ZWJ0I&IA3M4DJswR+qZ
zzdL3|?L(y6)&m}9DDK{>jQ-rKX^v85>P`>iXTDhlcN~kEFRkjgw>y`oc$Wx1PxOvS
zBOAE2b3h6RWk9eS_m3I12@<Idkgfg)T*k-nceU2v!cnjYs(sF1cOBA@MEs#mgYXW8
zoFa?X5?=;VNvojp??c8=r!sQ%`0A@*2<x7wF`4u-?_9z9H2CC$y6NkQ-KQ8H^&cSG
z=AcNoO3tGGzp&(l+TmSwax&S?-r8$yj=vgwbqQzai25k1#n8H+G)MJzAEBs#y;*ZH
zy0aSQ?2?J@X7f!xwqlpVLWir+P7fXY^Ih>LqBPSKU_b^uV;83$l*b+=fpYEaGAM5h
z1S|lm&YuWX?=l6UInhw|?@`5@j=~1``kdHv|GPF%lA~UBp+eu1VV%*j*159R;kL9P
zpojk<)GU2aMy~PKuTH;D=EEBtaAeDXDJ*A#-}teTo^E9sHXDW(cs5jCdDq;!>XZla
zR==PWT~`_ah(~<<+nJiW7Ay8<3lcT%!=uY$1m-jK9_LHFb3=kp1@mbdHq80Cmv`;b
zDN15EeO{gfa^u=8fY*xfPCE|{7b)=nT3fiBxaws^>M16p@)?O;9WM=_*7SGqM+F5v
z>2SuuEsd-C(`ZdIyvotKOM&0T%4@V@xKnG7#3_+);xmZp{>x<$yj{Vh&<Oa-k3DO?
z804e6*uGGvIQ==%pGs;jpsAzlaDln{gYZhtX6w9@SW+qNk+XD-rY<RqC(6L9rV$j6
zxJGKR?9pr#mU}4cqeGG4i(BBW|3S<t@$OjX2fiRa%;fJ$%r(7tc4k>K0f^#G#837j
z<gXzi=nYKleM7CdVYj%hmmm*IEPNSqM=gf9y%&)f9^aSvaSz*(+B>y?c20<udk+ag
z+5BjYBd}6Hher9fk*n#Oj^&G4mD@a@TOCklvo1`O|Mrh%{-~dk^BDK$eVG;__2oeU
zwu?=KAcmyMa|2N-tpY3AqryrQkg0o!X0UeNJNO;NAqILdpm(SBGEyEpEOHLK=DAMC
zZB&Lmm;O%ML;G3J;f^Ec`$R2qd9U$6IeTawaP!@Bh3E<Ovd4RhX2j>|Pb+OeL1`Ar
zrA5n#9`BK?s}4h4_5%16mq+@Huw5_%<K%sU-cP<Yg@NUTgY#m6oT(!%I;r8}iEG=&
z&`dF3stMV!!<_nK78B-CXJ>TBfDMWI)CDE)&3#_j;LOU{!fRu%UORi$7NUWn;M1O8
z%OF`?xf*{Alt{Uh&k@&CHD6ky{#|=TOPBWNBYX5iJ6oQy-}>r@?A1_S{}dNz<|ZX2
zrSc@JSv%AO?RH|OlVzwm7X>@})xFlFK=Qv1f*57nCaooPKu}>u3aw>2mVhx!emZOn
zREFpQP6-v_Tsg$#@R9yx$B!Fl<?&CGbv%3RdZAOrU7W|&)zxZ_G0pK52WTc@jxtG~
z%u6FOmco!Y;Lx+f;?PhI1}#bvXXl*upy<<wu1}HR4po?fNwc;4t-S@O!$i3OSR5>g
zpgf4JLPzG9G+%MDjC6q$4rD3}q~($D)hNo~&XH4gFSt-;fGD^ljJ#{gD=0mfog>9W
zlC_y^xT)>X?&5AXwu>iN=|WWytK3+ZMg|M%o7;XCP;|1W<pL~c3@s6uj9jN@8%RT3
z`5&G9<{;f@{p>3MM#+^)&M}D%75hwxv`NgJ@fa`(?c}-ZpWO4}Y}P-)1yBO7X*UdS
zXH3!Bv@f51zB^d9H6L0J#paK9%xQRq6{;%V<ku9wR4~2@%~{-h-3|g%mt=R(dQE#j
zAo!FB(kGTZSs<Sl4OzCblt>Ov11n|&MTbzl%E~wW{r%AI*8cL`)z8llX$CiRBtm<M
zg?EK2D4OTU%`@1VwymRH#M#)H*+|<$Ep;H^%9((adl|V1BS73wvp(bV)>CrZrg)TJ
z&;T2ps?i-$a1{+8+$DU<XHylbbwzRT<&T0&O`BH%ILAH#`(F9wAYHJAN9tkfM0I<C
zbpA1cG2JjAiv`%A2X7pstF;yO*`5lg!}lxiK)LhbnYwAFr-%Y_RwD(BaIg>9;~cxR
za-MosCxR|l@rCISyh<}x<OOUGg5PWXi-|OMUxo;MyVrsA^a(GrL)vE>c(Ei5h4r?V
zrW6D-?7XQ$o;$vJR<Bw=;3BQFzk=ankv#I|yA{`_-*$$YUk$Gj^oWj%s)d*Vh12%Q
z8SO~jSa3xUUpvH0S+cRPIf`0cSy4_Z+||9Jm%t*1TX4jo#K7QtDuB6MZVp+Uox|Hx
zYp&P}W-}T{2?>uZeuAm%!<DEui12LYJa87gW}5sPHtFek<&d_&BydWPbo40d+`ffW
z!aiivkq=2f56fyoq7`2H%DnYMk!Ll-?P`UF;7WjZ=EijuTapAQiDod9R5&t_)di=}
zd0aZNv$$Z*aKlanI_iYq6DToa+3M66U;y9hBTw&<fz(&=o9Lu8A&XJHyxWJrZEh55
z?kZ!YK(?Y$=r-M$M)N0KkLJjDgFft6!_%X}EF+3z{=I`rCl=Rg#ySblpTJ7{zJXUK
zrrWD-F8@AOE7>tbVu%Ss%eC}T$+grt@Q=A=H$ZFVUp;N{Eh7cXwgd#yT=o)Vmoa^T
zYL3$#UCe*Nc-oPto7bdMP%Ucg{@rU33+3t9D*jbArxVeg)F^d&MRIe=*O}><7pfWH
z4P=r<7?!x&#CKGh=37CGP44>qB~_14FJJLralFTAuqBPiL9jVpD@mKh#q^k8SYgey
z^zL*+bMxN=!JrC)*9Uu^E=T22$CbDEqd&Kn*b{L4{>o}0=p|!@h4asu$MPFx%sCbR
zcg<;nPs3sXM&C>N?e#`aEj+T>*{3G1k@>UEe}6M|)u8k4%7_uOH`A0lm1r1gqN+JX
zz<WsKed{-YIdwR1DzCUMM&&Tr4gi8C^~HvFZ1?%q3*Ne^NNf?xSJr7J|L5e(G~QTn
zkjOwfR9nJ(Z|=a2!vmbKjD({&>)3vb!_n>?5os4pHDGm`Oow?^rg`c(2x_<;qoRq<
z{_OO={aV$9>i$bt@I;sTQamh(pfd~LU6}j(il3Vd<2gDd^Jza5i;rRFu;u+rmb|C$
zGl`QT-*g(*Q9={ef4I|>NIxJP_{iP^IuvgG=^ywKDBb24UiI<6qU&l8_3Fg7#Sh2y
z`Na2HHz4bP$Srr|x@waBB;9|bXxCFG0592Tz!dtv=5Pa-@JA8A)ymNi!KQ}sAsf;%
z5uNtOXe^v1D+7IDKu*tISW342BQYfmD+N(h798c=TyT3heLn9#3JcU99I_nCJaBBk
z^x)V1o$AB&0SU&s=%*hLAUP$<)58_v+5(REKZ!Xfq9xZ?e43CL>-!2<|7X(RL1z_G
zJBh29x53YY@=hB^AbW1Ez)?z7L6NP{kAAvAA_h{aTN4j_Qu0v|PkXwQiJJ#yK*#n}
z%7Vg#xCHc&Myn4C*5);ajPmXU0?Dv%#X-~S7Kl0E4TqwaqR(;wvGjUa^2LSb6O{ut
zDxaY}{pEj7!H+{IIzbo#YC7_<=G#7{@g9eXGREyIQcjQW+VbB+QmmG?A`LDtZy{DI
z$^T9jRd$Yr5$Tc1U`dA~Es<Is1k3Kt#Z?TCH;%kV(6Gi`PzoZ}smj8oL2=RDgxtEo
zUlWa%tHQ@~`QtcwdN~n|aMCjmO*TlLi~s1eAi$m#Kslp0jRB~>xYgYWkf4OsXq&EP
zsNbyuq0h%&FssUE$kBWf)^;VcV?y_!bzEPz@P!_fby44c())R7e}A3DjBd)AE%ry3
zaMbO$h9@8R5m4R#J0xyNy*|+Q)flB<Y~m^TJw*|itiPXaI;JSzF5}ousp?xcf-4I~
zM@arRj>ZrmZCg~50tzCeVbV`lrav|g55Pb8J9xQ+7lurCj|s^AMyOOr>6|&o2EO}d
zzEP6Nt==4ykzmR}8oFuccf(s0<_9y>Z%+7HslR{s;=60L2awTmzb-0E0bd<K-tFJn
zUf~_=+;DUo#~Ib0Iow#OLbu>|dJDb)D08MJlEJ5m8Egx@O`EqYEV(bA2BZT}5Rw~+
zug)laM;e^Kur~8xexyNO8tZU{qc{zMzf%0eWFXN-9$`a|6PtaBIKfW-2Oo4yK0fXE
zWdhoy^7!Y7#u+t*8ht_l=Q7MC*(Zkge)Q|!kg&B!4vQHEnW?CfCEWSsL*mAvTacgr
z9a@|XAc`yQUo(9<nh@nU9ottz2kx6YVJqu`39sWcKED5;t`c<b?FvZ8BSs$4WRNx!
z9EjL*{w#D<<lIf5mwGwzPW4j*WUq6CO(V@wJ`V~m$fnS>&r8Flu@s@B6hqf+IEOdi
z=GF*8T9M!JzOoz^coO_bUql+cy7%7On+{SoyFvc<arEOEq;))ao<a@#*N+>D_h20|
z$@=TgsgVu5nmfiZ6@9iA(zW&v^jA8688RWBIoJ>2Nt+iN)Td}dQ*A`=PpSmlEU!qV
zekwuI-J1TYcs&s81w&L%YZIut4ub7G(QN0H8xRLiIk7FlfK2M;K5w5Jp2dkoKDMb0
zw!Yep_~{I*&ehuzL(kw`cAJqO+H-pKyj>pwJneDS&qOr*NzE$(&+TyE#n;9(LD(hk
z@z&f$V3O=^P^(M|Zn#GRxDDJXiOh#iKN6oa50J#X?>I2t<4@r37sl*f;H1biZ<}Qy
zZF;z}fv~x;;a6FwLxgyoCh`0kuOfD=l+G_&puuE@UWUtd(%t8Z{MIFW7%#_WORZHG
z;ifB}@niefh$MieFS~z8z`-QtdfrT1MEzqkxCKcBD~<RmOdn=)^=vJPDC&9P==JqQ
zsiJ6N&$#0#7gkuMgV@o;&CH*Ete;C9xJulks?+!_403iJ&V5BK+_0L@YwkiaZ{swf
z_)J%j{-2pX35GvYc>Gmr(^0$Z5*n-~{`qf4cD}rO99UTzpZcxnb*_Ph8E^LZ3DUs~
zR_ooK!8O{k&W<5Xjrco3$ASxMX7ANnC;+U1OD-l9?ebLGAlPWo8;oJM5?~w^H(+z&
zz1Fbw&+E(pFg0JAh-+^A16-wlilXDsn?L3UML!JHB;e}!$vS88iWIg)4Ly~g)iJqE
z<tom040<MDlE0wOm>;Bx>{DTGdl=OB$j0J6OFUM+fxcm;=)RM_q1OJ^m$L$w?zZ|@
z?JFBYhK0hLs|yFbU-Z8G`L(Hc5~dBF&Q$9brr=Lrf~dH0Mj}10<i?iy%arGxd=I@y
zMI*P+$umLfYt=$GerMhbYMt(Ym%Za`4^Q?0q8p;oL95z0MB66wgT%ZPN;%#G>9eqk
zuo~}{Z)e~SL?f6$AXafz;e7N+arla+an|I~h!Of9TLV?R!P~tLLfuGmljc>kjsv3|
zV#aG#?A!ZE(K<JW@ycZG)EPyH=sR?5QuA2zro~F@NU)=y01sM>h--)L9cGdbx(-dx
z(WS3d1OECl$#!Gnk@-^Bx>v*UdVQox+r_rXtbNam<0`^3k+Wk`^CyfwI##W*7_#cV
zE+tRTt7iN%D5<lmoTzz53l_dAAEpHru*qXp3uqpjeiQpmkGi?YmhC4=;&bKrmt}@o
z*dHT|Bn4&DWs!Y8hTrVia<rE<r!Aso`Gx(4VC_CzNF-KcLmRsN)3|kXG1RUrBGYOt
zhjKJKp}uhxhw_U<O{=Zdl7k8~yY}w#@>$)hez%4#V!I=j-R}BB-Sx;bEd4*9bv+Q*
z`xE*Fh2|A7_|7}#j7Ql58W*F=XA_=nQt${nr<3GcCLFJ|-a9{dMcj5uAgLW7AvD)W
zm4P_VTc;n{DEv|FdOd`KhwAoC^@Sw+$hpQ{u@)1JqfCAeO-+A%y~H04Vw^OeP(>6y
zv(Y=9qaS_rdDqU*7kU|V2W5V5^Wx~&Zg*<YMkKDZ7Rtn+o3~aLJOCrd5}kO9yT|np
zc6Vg_dO27<g5GfQ{Ol|!tW$0~Va_jC?zrM;JL64~sGH|NpYy({%HX=nG>Om2Ma*D3
z_gX~s@)9-iVsFf9?aF5JLFyCt-#c#^5Dq$Z`_b5sKkHUHu^SRkCq70qEsZ$3B}ktt
z#_>bO|IB(O=Jd9~3&DsMyAT7PasqNjGm7h6hZW3G+!WZHhMqR-Q)M(2vBDF?i#*}w
zep}~@YE*eS?Ri9^WM4u;La4q<zC-9*T1sZJR41$+P-nFE;<Jia?H&KPUO6xjbfVSZ
zPb419q8~?!wU@V<7FeN?uLi#+&z6>!>c>&&>FHD5f6_fhY_+8%u`eX}i!BVdGZbA_
z#g3i+c}*q!GLjWtY})B-ULK2!i_2J45l0Wn9r#RBI~|U=f;t)hn>*UY8XFUoENaJx
zHYivKi(iG!VsaF|f3khCcATGR2Z-su!)>d%a;GR}ahoz;{Po4u!lIOwgoMPio*goD
zsf%v75}64;{bQH8n!#ub%VL)8>6OkHZa0_6Np0(`b*J0f-Q7Wnonqp-!_Cvv)8)|G
zciLDEdFQ^JbV~@-#)dAuX55-iA^|)8dl9?hR{bwa%N_ME{}kl<C0%VP-4YJ^J^Nb%
zf%r~`@rP8EVd}4MmST(Tp&c&oVv>YK7K%K@jAuM@ETda)`d|~kLk=9@o<d5>c<75X
zq07D4>}|(2L3C~Vjp}JbqbN~f(vR0_cf?e)ENfA$>u_I5;%kWVX=Llr!aY?p-l6-k
z(c>~Oy8|sY^@p+)D{bacA4gDSJ5VA28SVVS>Aipt^2r^RH4wmGy`GJSD-Qoe|HT01
zDg5}`Lly*>D2J%D8CapEU3(dYf`I0lxy>^0v%m7wr_=QZLIsam5bh}j1q28V$5oZU
zPej+R_g|^&=uo4gp?!%+!J5G=A`=u8v^hVvy@iKi$}RkL=F`%WaX?^TN@}WKWDh06
zMHqvWCek;s-B5p}cY&_+;p*xt5eW&piHT!G;CI9~ui>GgYtRLro0k^`U1x<qr+tC5
zXxjykMVJN+H}c8V?;;Yo_Yc2{5HKI;mB>kbh6+nHS)rvfTE1GY!%fu4cJY?~{>Vj`
z{eK=Rh~eL}KWIUH56|<|=>I(go@~s_xXKyNeZPLCg!aepV`4&bavr1`_RAI49a7wp
zk#KXX9#B-t&&a?~5Iwn5TUQ50r9|Z9Z=t=l?utgv(D?Y<ckl3^yWykE!THOxt@hl)
zdK_H_S8I>GZoa2apZfHh2HcSut8p&WX&^$)RWE!jE{=fWvT<)>c#_wtOl%QB06OhK
zRdcgMOt&$WsK>37lM_>G>-Km7`@VsJR0r;1=KJ@X+_&n2p-VP1we)a-Ze1vJ9>ybo
zcn$i&XJutIQd-xdC@3hTr)3WW;Zwd(NC*c`H075sU!XZF8n4w<NX3ks?22g)T+a`i
z_}(0JPG0%$4eiCpij8ogPi`o~lL!z)7(z>PXv*6rBEPEPLV0V|86O`XTI@<17|_vp
zY(Gk0$ck!x)$~o~(>Ap2eFa457=BxNUhA1W2NqS$@2}89!@_o;nd}4VK!ot&m?6h4
zyr13OWo38o-i5I-fCj8M_mpqTd@M5QrMYwO9_n9;3up@J0*%CrJWlKo;)aF{co=A+
z=i8EZ7#W#koNN}bXb)=I+8!f(qNAgmWrn&fco(3faVs>#{1TDs1{aicaNu6*O(GN%
z6NA?2^U(5LT`<b5JBAYtT1WFcuHHl>=jGu^OG}4DMym6ZtE#J~m6wlfUa`Vl17Hvz
zI*uxFjL$9SIUwvTidh&$M5sAAIbo{64r#VAQHBfM(<NnO-VP{YHA3fS<j5{3dDF1h
z?caFz?Ai8|eJ?b#M~A-T&)Ss}NSM`<v$L_GdAN<8orH-A<3lbkgNL!7BQo5|%E}N3
z|0exWXx?by>ENt^P-=MiwVU7e_qEW_(9aR6nq+L+;+mQi(9o3A;qQy|1)}Op4xmM}
zL33ObgrcG%^1mWG8l%2IfnLX)PU~a72|~{F!opPP>FG}u6oUIr|Lo8Pw<<RdSt}_k
zfA_xfq7rr?f)}d-k8-iyLYP%p*beV*ZhajOI^*6XC4JQy#cJc^^w`8CbKtrvBP}h$
zz`(%CG9@L2-}|yw;_c8zE1BMpP!i_%@$v7V$uNs{B@ui?QcW#tpkJkTcJ?;ng}S=Q
zs4o1rmR196>@=PT6};rfN=yg|sQ7)7lWEf#vNfSQ_^-}RMNLgJt<<zM7?Bs6nmCM%
zjOh$H^3R_?uh3#h5Ol<WhTUpRAF9jB%O%pjUkNza+4-?_;@nNu0=RB&Yb(;v4^>M`
zS(!M3O27~Lwll|AY%ko`U$r+bAs2Gq{E?aDg##>~Nnw0=wScz<4rWJw{i;=Q675z;
zGcz+2AD#Uk`eYkG%WGuoWKtFlANWRkMn+5l0fA>vl+&SeFf@Lq=infM#;^Qd=lr~u
z69FcPu8(2e=zrI+Io*FVdA7Q0_BkpF1R%K3)fh&-z1ne&1Db}z@~2~9K!c9$PU#%e
zcOMP4BlasTCd=hkOdSR#2}SM<3=DjZNHI(DJdB0eMWmUp_W$&CwlPiIVE{imXa$B0
zI|^&u#7ZGZE7%bP!5X>)v{e>mKtWSpOkBf@U}QxqMIfv_=!A}!!6KrT85UkD)Irg5
zg|#xq5XOrg2Z*rJ1qcz@B7AVO+0$howq@}?UUHY*|DNafJh|Ne`GH#-17kfbP-1+1
z?J<FX3b)Kyow%LxsPSNixh=t%*|Y!Mlb$=@izJqFWBB|^kgFzt5gijFhs5Hwn=1)I
zcq$>`PPUjb`1{{zUwJL!<xW2TfvCMO`~}Ca8+?x&pW;{QtD?~SVZh|%t?kG0A4b)D
zbwP0UY}3>vhLKrZ*G7zt_w|LrlZ|Okwww3Y$ual=VTX^0n>3}9X0zEO%GOr@63z6z
z+1XjhIYnHnsqx^s%@O~bL{6$mRHfKc><xV@yb$3xVh<Kgxo~(-(WZmZWV&t6^mq$4
z;y?aKZxb{eNPpU22;)(PfJa@qi`+Ad=Jq5Aou&14*BfyPfYc{}!U}AINh?9En;Z^D
zRaaN8)p8n7_yIgxwAx*W9d`FGtr(}LsX!nCzjDZ6dzqyt1%Yr1f<{SW^9l>Yx1Y@`
zy3Y;I$%X^(_Ln)i(w0CF{BU1&B&l|!JTOT^7zWg8lAW_19jHVS3PR|Og`?0<K6hrQ
zqgYI4bXa(}GcL;2LG-{-9>j+hB+Ax}!PdWrHB14F$FN$hI{?n<-NNiwH?P|6Pl!X*
zy}gNGnVl5B-JaO_Acu@terZVU#dSg!spR|7QJ63Bxk}|@cN`mL(-~^+Ae8WsRS==O
z!m>(oL?Th|4EV@(>({xm!+e3j0Rh%G2B(u=Nb%02etu*vtEH{YrN;MX%a9VgcI}nv
zO)$Re@SoPV@(K!KWwIkk+DHxa7@u#1XAk~(d^hko15%@)=PruMN+C|%q*B~4A24fB
zPp@r=@x33&3B1AAS<89@u`DlN+;|dR^y`op2<KxVy&s)_AI#HR+#dyKzJC}+h3&R`
z-1WG-o0}6-E|;qT!fZCX*JiO~h(qY`9o{rH=4Q95ySTVW>%X0u@dAbt23Z7Dlh2x(
znn0WDaVj^@QH7C@K%~#jrRYNeTJxXM^aamj0Q%?0n<_xJzO*{o0yV}7f%o2#e2)xw
z5$YvuI-TB?zjoRVEcp2k=>oMlOVsaOTwDw>84LSqpi*_`uT4e#pp$N8o@kDI2XekE
zrIQ%AI?#zQ8K+6mBhg<N{`gJc=;%oFI8i9e){$D|fo5W%C(El@ww(;;ms+a1JfYAV
z88n+cQ)OG8kmSK2YX^%qBOt)}dT5STmdNM3TzJw~dT6nTI@%DVsIGQzzHF(87+<ki
z%IX7?EKtkf%iHCpQc73WjD|~GVyN}|VBp8pUJQGwgvJ3_x{FG!ui~L0X?Z*UoxtM`
vz6`~8$p=t$;UcWn|93e5Z1P@10Q<!@cjX<<mzA6|&k#6{N5`QWURv3oN04Y%

literal 0
HcmV?d00001