diff --git a/TD2 Deep Learning.ipynb b/TD2 Deep Learning.ipynb
index d9e47be0b1befdefb4ed6683bcab7c194eb82a71..90f575919287e183369e281825d77792250beeda 100644
--- a/TD2 Deep Learning.ipynb	
+++ b/TD2 Deep Learning.ipynb	
@@ -33,10 +33,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "id": "330a42f5",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: torch in /opt/anaconda3/lib/python3.9/site-packages (2.1.0)\n",
+      "Requirement already satisfied: torchvision in /opt/anaconda3/lib/python3.9/site-packages (0.16.0)\n",
+      "Requirement already satisfied: filelock in /opt/anaconda3/lib/python3.9/site-packages (from torch) (3.6.0)\n",
+      "Requirement already satisfied: typing-extensions in /opt/anaconda3/lib/python3.9/site-packages (from torch) (4.3.0)\n",
+      "Requirement already satisfied: sympy in /opt/anaconda3/lib/python3.9/site-packages (from torch) (1.10.1)\n",
+      "Requirement already satisfied: networkx in /opt/anaconda3/lib/python3.9/site-packages (from torch) (2.8.4)\n",
+      "Requirement already satisfied: jinja2 in /opt/anaconda3/lib/python3.9/site-packages (from torch) (2.11.3)\n",
+      "Requirement already satisfied: fsspec in /opt/anaconda3/lib/python3.9/site-packages (from torch) (2022.7.1)\n",
+      "Requirement already satisfied: numpy in /opt/anaconda3/lib/python3.9/site-packages (from torchvision) (1.26.1)\n",
+      "Requirement already satisfied: requests in /opt/anaconda3/lib/python3.9/site-packages (from torchvision) (2.28.1)\n",
+      "Requirement already satisfied: pillow!=8.3.*,>=5.3.0 in /opt/anaconda3/lib/python3.9/site-packages (from torchvision) (9.2.0)\n",
+      "Requirement already satisfied: MarkupSafe>=0.23 in /opt/anaconda3/lib/python3.9/site-packages (from jinja2->torch) (2.0.1)\n",
+      "Requirement already satisfied: charset-normalizer<3,>=2 in /opt/anaconda3/lib/python3.9/site-packages (from requests->torchvision) (2.0.4)\n",
+      "Requirement already satisfied: idna<4,>=2.5 in /opt/anaconda3/lib/python3.9/site-packages (from requests->torchvision) (3.3)\n",
+      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /opt/anaconda3/lib/python3.9/site-packages (from requests->torchvision) (1.26.11)\n",
+      "Requirement already satisfied: certifi>=2017.4.17 in /opt/anaconda3/lib/python3.9/site-packages (from requests->torchvision) (2022.9.24)\n",
+      "Requirement already satisfied: mpmath>=0.19 in /opt/anaconda3/lib/python3.9/site-packages (from sympy->torch) (1.2.1)\n",
+      "\n",
+      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m A new release of pip is available: \u001b[0m\u001b[31;49m23.2.1\u001b[0m\u001b[39;49m -> \u001b[0m\u001b[32;49m23.3.1\u001b[0m\n",
+      "\u001b[1m[\u001b[0m\u001b[34;49mnotice\u001b[0m\u001b[1;39;49m]\u001b[0m\u001b[39;49m To update, run: \u001b[0m\u001b[32;49mpip install --upgrade pip\u001b[0m\n",
+      "Note: you may need to restart the kernel to use updated packages.\n"
+     ]
+    }
+   ],
    "source": [
     "%pip install torch torchvision"
    ]
@@ -52,7 +80,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 4,
    "id": "b1950f0a",
    "metadata": {},
    "outputs": [
@@ -60,34 +88,34 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "tensor([[ 1.6145,  0.4110,  1.3518,  0.4795, -0.2919, -0.3766, -2.6910,  1.5084,\n",
-      "          1.0654,  0.6444],\n",
-      "        [ 0.0448,  1.1987,  0.5144, -0.2416, -0.9144,  0.1413, -0.2351, -1.2182,\n",
-      "          1.0446, -1.4386],\n",
-      "        [ 1.6857, -1.3166, -0.6720, -1.7248,  0.1478, -0.0817,  0.3910, -0.6348,\n",
-      "         -2.4307, -0.6900],\n",
-      "        [-0.9769,  0.7784, -0.9618,  1.0623,  0.4976,  0.8609,  1.3821,  0.2586,\n",
-      "          1.0039, -0.5892],\n",
-      "        [ 1.1374, -0.5088, -1.0322,  0.6746, -1.8558, -2.0902, -0.5974,  0.2525,\n",
-      "          2.7039,  0.7704],\n",
-      "        [ 2.1928,  0.8057, -0.3696, -0.8279,  0.5836, -0.3996,  0.1283, -2.0376,\n",
-      "          0.3862,  1.4711],\n",
-      "        [-1.1264,  1.9571, -0.6552,  0.8602,  1.0251, -0.9645, -0.3276,  2.1258,\n",
-      "         -0.6654,  0.0749],\n",
-      "        [-0.7010, -0.9812,  0.5490, -0.3314, -0.4605,  1.3265,  1.2659,  0.6560,\n",
-      "         -0.5652, -0.9509],\n",
-      "        [-0.0766,  1.1781, -1.0971, -0.6909,  0.0294,  0.7692, -0.9108, -1.3057,\n",
-      "         -0.6707,  0.2538],\n",
-      "        [ 0.8350,  0.1098,  0.7175,  0.9496,  0.6832,  1.7561,  0.8108, -0.2578,\n",
-      "         -0.1561,  0.3518],\n",
-      "        [ 0.2131,  0.2607, -0.4220, -0.0395, -1.2417, -0.2918,  0.8319, -1.5865,\n",
-      "         -0.6928, -1.0670],\n",
-      "        [-0.0291, -0.0646,  0.3013, -0.8483,  0.8989, -0.1266, -0.8799, -0.1870,\n",
-      "         -2.0869,  0.7021],\n",
-      "        [-0.9802,  0.8751,  0.7352,  0.7819, -0.6644,  0.2004, -1.5215, -0.0104,\n",
-      "          0.0355,  0.8969],\n",
-      "        [-0.1434,  1.6074,  0.7906,  0.2955,  0.2748,  0.4541,  0.5539, -1.4352,\n",
-      "         -1.1255, -0.1210]])\n",
+      "tensor([[ 1.8214, -1.1198, -2.3160,  1.2961, -2.0134, -0.9790, -0.0222,  0.8011,\n",
+      "         -0.0354, -0.0972],\n",
+      "        [-1.1174, -0.5568, -0.5268,  1.2036, -0.4911, -1.4424,  0.0947, -0.3720,\n",
+      "         -0.0834,  1.2769],\n",
+      "        [-0.5939, -1.6971, -2.8987,  0.6741, -2.4529, -0.8393, -0.9890,  0.6775,\n",
+      "         -1.9431,  1.1925],\n",
+      "        [ 0.1170, -1.1349,  0.3431, -0.9577,  0.2808,  0.5749, -0.8149,  1.0837,\n",
+      "          1.0058,  0.7424],\n",
+      "        [ 1.8299,  0.1643,  0.4349, -1.0605, -0.0727, -1.1608, -1.4272, -2.2973,\n",
+      "         -0.0767,  0.0056],\n",
+      "        [ 0.7435,  0.6543, -0.5939, -0.1458, -0.3154,  2.0811, -1.2278,  0.2090,\n",
+      "          0.2231, -0.3070],\n",
+      "        [-1.0258,  0.1648, -0.7129,  0.2892,  0.4636,  0.0775,  0.7512, -0.7913,\n",
+      "         -0.0707,  2.1247],\n",
+      "        [-0.8456, -2.3941,  0.5094,  0.3481,  0.4217, -1.8176, -0.8988,  1.7584,\n",
+      "         -0.1041, -0.9513],\n",
+      "        [ 0.6296,  0.0535, -0.6248, -1.0685,  0.6987, -0.0984, -1.5797,  0.1751,\n",
+      "         -0.2106, -0.4826],\n",
+      "        [ 0.4314,  0.5906, -0.6325,  0.0534, -0.4029,  0.2981, -1.0190, -0.8276,\n",
+      "         -0.4426,  0.9537],\n",
+      "        [-0.5917,  0.6507,  0.4787, -0.0683, -0.6541,  0.4166,  0.2371, -0.7320,\n",
+      "          0.3564,  0.4551],\n",
+      "        [-0.5817,  1.6487, -1.0793,  0.8978,  2.8834, -0.4959, -0.9623, -1.1675,\n",
+      "         -0.6751, -0.3648],\n",
+      "        [-0.0076,  2.1573,  0.8487,  1.0737, -1.3293,  0.8656, -0.3525,  0.1881,\n",
+      "          0.3449, -0.2509],\n",
+      "        [ 0.0985,  0.2843, -1.7787,  0.0955, -0.9219,  0.0783, -1.2423,  0.3027,\n",
+      "          0.7469,  0.9426]])\n",
       "AlexNet(\n",
       "  (features): Sequential(\n",
       "    (0): Conv2d(3, 64, kernel_size=(11, 11), stride=(4, 4), padding=(2, 2))\n",
@@ -157,7 +185,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 5,
    "id": "6e18f2fd",
    "metadata": {},
    "outputs": [
@@ -191,7 +219,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 6,
    "id": "462666a2",
    "metadata": {},
    "outputs": [
@@ -272,7 +300,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 7,
    "id": "317bf070",
    "metadata": {
     "scrolled": true
@@ -312,17 +340,11 @@
     "\n",
     "    def forward(self, x):\n",
     "        x = self.pool(F.relu(self.conv1(x)))\n",
-    "        print(x.shape)\n",
     "        x = self.pool(F.relu(self.conv2(x)))\n",
-    "        print(x.shape)\n",
     "        x = x.view(-1, 16 * 5 * 5)\n",
-    "        print(x.shape)\n",
     "        x = F.relu(self.fc1(x))\n",
-    "        print(x.shape)\n",
     "        x = F.relu(self.fc2(x))\n",
-    "        print(x.shape)\n",
     "        x = self.fc3(x)\n",
-    "        print(x.shape)\n",
     "        return x\n",
     "\n",
     "\n",
@@ -344,7 +366,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 8,
    "id": "4b53f229",
    "metadata": {},
    "outputs": [
@@ -352,1265 +374,50 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n",
-      "torch.Size([20, 6, 14, 14])\n",
-      "torch.Size([20, 16, 5, 5])\n",
-      "torch.Size([20, 400])\n",
-      "torch.Size([20, 120])\n",
-      "torch.Size([20, 84])\n",
-      "torch.Size([20, 10])\n"
-     ]
-    },
-    {
-     "ename": "KeyboardInterrupt",
-     "evalue": "",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
-      "\u001b[0;32m/var/folders/vx/zcsmnpmd3vd652pg3bvtyg0w0000gn/T/ipykernel_9529/2968749801.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     15\u001b[0m     \u001b[0;31m# Train the model\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     16\u001b[0m     \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrain\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 17\u001b[0;31m     \u001b[0;32mfor\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtarget\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtrain_loader\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     18\u001b[0m         \u001b[0;31m# Move tensors to GPU if CUDA is available\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     19\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mtrain_on_gpu\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/lib/python3.9/site-packages/torch/utils/data/dataloader.py\u001b[0m in \u001b[0;36m__next__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    628\u001b[0m                 \u001b[0;31m# TODO(https://github.com/pytorch/pytorch/issues/76750)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    629\u001b[0m                 \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_reset\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# type: ignore[call-arg]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 630\u001b[0;31m             \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_next_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    631\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_num_yielded\u001b[0m \u001b[0;34m+=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    632\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_dataset_kind\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0m_DatasetKind\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mIterable\u001b[0m \u001b[0;32mand\u001b[0m\u001b[0;31m \u001b[0m\u001b[0;31m\\\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/lib/python3.9/site-packages/torch/utils/data/dataloader.py\u001b[0m in \u001b[0;36m_next_data\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    672\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_next_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    673\u001b[0m         \u001b[0mindex\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_next_index\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# may raise StopIteration\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 674\u001b[0;31m         \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_dataset_fetcher\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfetch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m)\u001b[0m  \u001b[0;31m# may raise StopIteration\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    675\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_pin_memory\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    676\u001b[0m             \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_utils\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpin_memory\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpin_memory\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_pin_memory_device\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/lib/python3.9/site-packages/torch/utils/data/_utils/fetch.py\u001b[0m in \u001b[0;36mfetch\u001b[0;34m(self, possibly_batched_index)\u001b[0m\n\u001b[1;32m     49\u001b[0m                 \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__getitems__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpossibly_batched_index\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     50\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 51\u001b[0;31m                 \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0midx\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0midx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mpossibly_batched_index\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     52\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     53\u001b[0m             \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mpossibly_batched_index\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/lib/python3.9/site-packages/torch/utils/data/_utils/fetch.py\u001b[0m in \u001b[0;36m<listcomp>\u001b[0;34m(.0)\u001b[0m\n\u001b[1;32m     49\u001b[0m                 \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__getitems__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpossibly_batched_index\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     50\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 51\u001b[0;31m                 \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0midx\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0midx\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mpossibly_batched_index\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     52\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     53\u001b[0m             \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mpossibly_batched_index\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/lib/python3.9/site-packages/torchvision/datasets/cifar.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, index)\u001b[0m\n\u001b[1;32m    113\u001b[0m         \u001b[0;31m# doing this so that it is consistent with all other datasets\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    114\u001b[0m         \u001b[0;31m# to return a PIL Image\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 115\u001b[0;31m         \u001b[0mimg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mImage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfromarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    116\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    117\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtransform\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/lib/python3.9/site-packages/PIL/Image.py\u001b[0m in \u001b[0;36mfromarray\u001b[0;34m(obj, mode)\u001b[0m\n\u001b[1;32m   2968\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mstrides\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2969\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"tobytes\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2970\u001b[0;31m             \u001b[0mobj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mobj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtobytes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2971\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2972\u001b[0m             \u001b[0mobj\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mobj\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtostring\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
+      "Epoch: 0 \tTraining Loss: 42.995837 \tValidation Loss: 38.374187\n",
+      "Validation loss decreased (inf --> 38.374187).  Saving model ...\n",
+      "Epoch: 1 \tTraining Loss: 34.261944 \tValidation Loss: 32.420430\n",
+      "Validation loss decreased (38.374187 --> 32.420430).  Saving model ...\n",
+      "Epoch: 2 \tTraining Loss: 30.415555 \tValidation Loss: 29.655970\n",
+      "Validation loss decreased (32.420430 --> 29.655970).  Saving model ...\n",
+      "Epoch: 3 \tTraining Loss: 28.279346 \tValidation Loss: 27.867789\n",
+      "Validation loss decreased (29.655970 --> 27.867789).  Saving model ...\n",
+      "Epoch: 4 \tTraining Loss: 26.721999 \tValidation Loss: 26.684117\n",
+      "Validation loss decreased (27.867789 --> 26.684117).  Saving model ...\n",
+      "Epoch: 5 \tTraining Loss: 25.293026 \tValidation Loss: 25.378038\n",
+      "Validation loss decreased (26.684117 --> 25.378038).  Saving model ...\n",
+      "Epoch: 6 \tTraining Loss: 24.101556 \tValidation Loss: 24.745679\n",
+      "Validation loss decreased (25.378038 --> 24.745679).  Saving model ...\n",
+      "Epoch: 7 \tTraining Loss: 22.980145 \tValidation Loss: 23.755886\n",
+      "Validation loss decreased (24.745679 --> 23.755886).  Saving model ...\n",
+      "Epoch: 8 \tTraining Loss: 22.044117 \tValidation Loss: 23.291302\n",
+      "Validation loss decreased (23.755886 --> 23.291302).  Saving model ...\n",
+      "Epoch: 9 \tTraining Loss: 21.216826 \tValidation Loss: 22.796176\n",
+      "Validation loss decreased (23.291302 --> 22.796176).  Saving model ...\n",
+      "Epoch: 10 \tTraining Loss: 20.382719 \tValidation Loss: 22.674806\n",
+      "Validation loss decreased (22.796176 --> 22.674806).  Saving model ...\n",
+      "Epoch: 11 \tTraining Loss: 19.715383 \tValidation Loss: 22.957126\n",
+      "Epoch: 12 \tTraining Loss: 19.011777 \tValidation Loss: 22.491857\n",
+      "Validation loss decreased (22.674806 --> 22.491857).  Saving model ...\n",
+      "Epoch: 13 \tTraining Loss: 18.384768 \tValidation Loss: 22.748119\n",
+      "Epoch: 14 \tTraining Loss: 17.769752 \tValidation Loss: 22.044621\n",
+      "Validation loss decreased (22.491857 --> 22.044621).  Saving model ...\n",
+      "Epoch: 15 \tTraining Loss: 17.172824 \tValidation Loss: 22.490858\n",
+      "Epoch: 16 \tTraining Loss: 16.580163 \tValidation Loss: 21.788858\n",
+      "Validation loss decreased (22.044621 --> 21.788858).  Saving model ...\n",
+      "Epoch: 17 \tTraining Loss: 16.087017 \tValidation Loss: 22.220683\n",
+      "Epoch: 18 \tTraining Loss: 15.538899 \tValidation Loss: 22.290786\n",
+      "Epoch: 19 \tTraining Loss: 15.029167 \tValidation Loss: 23.297586\n",
+      "Epoch: 20 \tTraining Loss: 14.502101 \tValidation Loss: 22.887932\n",
+      "Epoch: 21 \tTraining Loss: 14.014865 \tValidation Loss: 23.399098\n",
+      "Epoch: 22 \tTraining Loss: 13.545475 \tValidation Loss: 22.885554\n",
+      "Epoch: 23 \tTraining Loss: 13.022340 \tValidation Loss: 25.921280\n",
+      "Epoch: 24 \tTraining Loss: 12.634484 \tValidation Loss: 23.798675\n",
+      "Epoch: 25 \tTraining Loss: 12.130980 \tValidation Loss: 25.246527\n",
+      "Epoch: 26 \tTraining Loss: 11.742301 \tValidation Loss: 25.180110\n",
+      "Epoch: 27 \tTraining Loss: 11.336288 \tValidation Loss: 25.926084\n",
+      "Epoch: 28 \tTraining Loss: 10.833350 \tValidation Loss: 27.772345\n",
+      "Epoch: 29 \tTraining Loss: 10.521331 \tValidation Loss: 26.616027\n"
      ]
     }
    ],
@@ -1696,13 +503,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 9,
    "id": "d39df818",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1715,8 +522,8 @@
     "import matplotlib.pyplot as plt\n",
     "\n",
     "# Delet the overfitting \n",
-    "n_epochs = 15\n",
-    "train_loss_list = train_loss_list[:15]\n",
+    "# n_epochs = 15\n",
+    "# train_loss_list = train_loss_list[:15]\n",
     "\n",
     "plt.plot(range(n_epochs), train_loss_list)\n",
     "plt.xlabel(\"Epoch\")\n",
@@ -1735,20 +542,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 10,
    "id": "e93efdfc",
    "metadata": {},
    "outputs": [
     {
-     "ename": "RuntimeError",
-     "evalue": "Error(s) in loading state_dict for Net:\n\tMissing key(s) in state_dict: \"conv3.weight\", \"conv3.bias\". \n\tsize mismatch for conv1.weight: copying a param with shape torch.Size([6, 3, 5, 5]) from checkpoint, the shape in current model is torch.Size([16, 3, 3, 3]).\n\tsize mismatch for conv1.bias: copying a param with shape torch.Size([6]) from checkpoint, the shape in current model is torch.Size([16]).\n\tsize mismatch for conv2.weight: copying a param with shape torch.Size([16, 6, 5, 5]) from checkpoint, the shape in current model is torch.Size([32, 16, 3, 3]).\n\tsize mismatch for conv2.bias: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([32]).\n\tsize mismatch for fc1.weight: copying a param with shape torch.Size([120, 400]) from checkpoint, the shape in current model is torch.Size([512, 1024]).\n\tsize mismatch for fc1.bias: copying a param with shape torch.Size([120]) from checkpoint, the shape in current model is torch.Size([512]).\n\tsize mismatch for fc2.weight: copying a param with shape torch.Size([84, 120]) from checkpoint, the shape in current model is torch.Size([64, 120]).\n\tsize mismatch for fc2.bias: copying a param with shape torch.Size([84]) from checkpoint, the shape in current model is torch.Size([64]).\n\tsize mismatch for fc3.weight: copying a param with shape torch.Size([10, 84]) from checkpoint, the shape in current model is torch.Size([10, 64]).",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mRuntimeError\u001b[0m                              Traceback (most recent call last)",
-      "\u001b[0;32m/var/folders/vx/zcsmnpmd3vd652pg3bvtyg0w0000gn/T/ipykernel_9529/3891591578.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmodel\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload_state_dict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"./model_cifar.pt\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;31m# track test loss\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mtest_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0.0\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mclass_correct\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0.0\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m10\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/opt/anaconda3/lib/python3.9/site-packages/torch/nn/modules/module.py\u001b[0m in \u001b[0;36mload_state_dict\u001b[0;34m(self, state_dict, strict, assign)\u001b[0m\n\u001b[1;32m   2150\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2151\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0merror_msgs\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m>\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2152\u001b[0;31m             raise RuntimeError('Error(s) in loading state_dict for {}:\\n\\t{}'.format(\n\u001b[0m\u001b[1;32m   2153\u001b[0m                                self.__class__.__name__, \"\\n\\t\".join(error_msgs)))\n\u001b[1;32m   2154\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0m_IncompatibleKeys\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmissing_keys\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0munexpected_keys\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mRuntimeError\u001b[0m: Error(s) in loading state_dict for Net:\n\tMissing key(s) in state_dict: \"conv3.weight\", \"conv3.bias\". \n\tsize mismatch for conv1.weight: copying a param with shape torch.Size([6, 3, 5, 5]) from checkpoint, the shape in current model is torch.Size([16, 3, 3, 3]).\n\tsize mismatch for conv1.bias: copying a param with shape torch.Size([6]) from checkpoint, the shape in current model is torch.Size([16]).\n\tsize mismatch for conv2.weight: copying a param with shape torch.Size([16, 6, 5, 5]) from checkpoint, the shape in current model is torch.Size([32, 16, 3, 3]).\n\tsize mismatch for conv2.bias: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([32]).\n\tsize mismatch for fc1.weight: copying a param with shape torch.Size([120, 400]) from checkpoint, the shape in current model is torch.Size([512, 1024]).\n\tsize mismatch for fc1.bias: copying a param with shape torch.Size([120]) from checkpoint, the shape in current model is torch.Size([512]).\n\tsize mismatch for fc2.weight: copying a param with shape torch.Size([84, 120]) from checkpoint, the shape in current model is torch.Size([64, 120]).\n\tsize mismatch for fc2.bias: copying a param with shape torch.Size([84]) from checkpoint, the shape in current model is torch.Size([64]).\n\tsize mismatch for fc3.weight: copying a param with shape torch.Size([10, 84]) from checkpoint, the shape in current model is torch.Size([10, 64])."
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test Loss: 21.115063\n",
+      "\n",
+      "Test Accuracy of airplane: 71% (711/1000)\n",
+      "Test Accuracy of automobile: 73% (732/1000)\n",
+      "Test Accuracy of  bird: 47% (470/1000)\n",
+      "Test Accuracy of   cat: 43% (431/1000)\n",
+      "Test Accuracy of  deer: 56% (561/1000)\n",
+      "Test Accuracy of   dog: 52% (523/1000)\n",
+      "Test Accuracy of  frog: 74% (748/1000)\n",
+      "Test Accuracy of horse: 69% (696/1000)\n",
+      "Test Accuracy of  ship: 69% (695/1000)\n",
+      "Test Accuracy of truck: 76% (765/1000)\n",
+      "\n",
+      "Test Accuracy (Overall): 63% (6332/10000)\n"
      ]
     }
    ],
@@ -1834,7 +649,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 11,
    "id": "afd50344",
    "metadata": {},
    "outputs": [
@@ -1896,7 +711,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 12,
    "id": "40b74cf8",
    "metadata": {
     "scrolled": true
@@ -1906,60 +721,60 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Epoch: 0 \tTraining Loss: 45.726700 \tValidation Loss: 43.348712\n",
-      "Validation loss decreased (inf --> 43.348712).  Saving model ...\n",
-      "Epoch: 1 \tTraining Loss: 40.352325 \tValidation Loss: 36.572871\n",
-      "Validation loss decreased (43.348712 --> 36.572871).  Saving model ...\n",
-      "Epoch: 2 \tTraining Loss: 36.272828 \tValidation Loss: 33.547526\n",
-      "Validation loss decreased (36.572871 --> 33.547526).  Saving model ...\n",
-      "Epoch: 3 \tTraining Loss: 33.946008 \tValidation Loss: 31.209806\n",
-      "Validation loss decreased (33.547526 --> 31.209806).  Saving model ...\n",
-      "Epoch: 4 \tTraining Loss: 31.889910 \tValidation Loss: 29.128897\n",
-      "Validation loss decreased (31.209806 --> 29.128897).  Saving model ...\n",
-      "Epoch: 5 \tTraining Loss: 30.029890 \tValidation Loss: 27.697655\n",
-      "Validation loss decreased (29.128897 --> 27.697655).  Saving model ...\n",
-      "Epoch: 6 \tTraining Loss: 28.622629 \tValidation Loss: 26.432032\n",
-      "Validation loss decreased (27.697655 --> 26.432032).  Saving model ...\n",
-      "Epoch: 7 \tTraining Loss: 27.205110 \tValidation Loss: 25.298413\n",
-      "Validation loss decreased (26.432032 --> 25.298413).  Saving model ...\n",
-      "Epoch: 8 \tTraining Loss: 25.966662 \tValidation Loss: 24.126736\n",
-      "Validation loss decreased (25.298413 --> 24.126736).  Saving model ...\n",
-      "Epoch: 9 \tTraining Loss: 24.953256 \tValidation Loss: 23.669894\n",
-      "Validation loss decreased (24.126736 --> 23.669894).  Saving model ...\n",
-      "Epoch: 10 \tTraining Loss: 23.959076 \tValidation Loss: 22.569389\n",
-      "Validation loss decreased (23.669894 --> 22.569389).  Saving model ...\n",
-      "Epoch: 11 \tTraining Loss: 22.995271 \tValidation Loss: 22.283467\n",
-      "Validation loss decreased (22.569389 --> 22.283467).  Saving model ...\n",
-      "Epoch: 12 \tTraining Loss: 22.260409 \tValidation Loss: 22.338442\n",
-      "Epoch: 13 \tTraining Loss: 21.372561 \tValidation Loss: 21.444340\n",
-      "Validation loss decreased (22.283467 --> 21.444340).  Saving model ...\n",
-      "Epoch: 14 \tTraining Loss: 20.654840 \tValidation Loss: 20.312754\n",
-      "Validation loss decreased (21.444340 --> 20.312754).  Saving model ...\n",
-      "Epoch: 15 \tTraining Loss: 20.005367 \tValidation Loss: 19.429527\n",
-      "Validation loss decreased (20.312754 --> 19.429527).  Saving model ...\n",
-      "Epoch: 16 \tTraining Loss: 19.244492 \tValidation Loss: 19.130991\n",
-      "Validation loss decreased (19.429527 --> 19.130991).  Saving model ...\n",
-      "Epoch: 17 \tTraining Loss: 18.583056 \tValidation Loss: 19.104824\n",
-      "Validation loss decreased (19.130991 --> 19.104824).  Saving model ...\n",
-      "Epoch: 18 \tTraining Loss: 18.182487 \tValidation Loss: 18.528547\n",
-      "Validation loss decreased (19.104824 --> 18.528547).  Saving model ...\n",
-      "Epoch: 19 \tTraining Loss: 17.475429 \tValidation Loss: 19.013168\n",
-      "Epoch: 20 \tTraining Loss: 17.000069 \tValidation Loss: 18.464468\n",
-      "Validation loss decreased (18.528547 --> 18.464468).  Saving model ...\n",
-      "Epoch: 21 \tTraining Loss: 16.451763 \tValidation Loss: 17.770199\n",
-      "Validation loss decreased (18.464468 --> 17.770199).  Saving model ...\n",
-      "Epoch: 22 \tTraining Loss: 16.065195 \tValidation Loss: 17.761930\n",
-      "Validation loss decreased (17.770199 --> 17.761930).  Saving model ...\n",
-      "Epoch: 23 \tTraining Loss: 15.498746 \tValidation Loss: 17.700515\n",
-      "Validation loss decreased (17.761930 --> 17.700515).  Saving model ...\n",
-      "Epoch: 24 \tTraining Loss: 15.129404 \tValidation Loss: 17.791783\n",
-      "Epoch: 25 \tTraining Loss: 14.751069 \tValidation Loss: 17.500954\n",
-      "Validation loss decreased (17.700515 --> 17.500954).  Saving model ...\n",
-      "Epoch: 26 \tTraining Loss: 14.288809 \tValidation Loss: 17.845116\n",
-      "Epoch: 27 \tTraining Loss: 14.004680 \tValidation Loss: 18.243857\n",
-      "Epoch: 28 \tTraining Loss: 13.555525 \tValidation Loss: 17.641622\n",
-      "Epoch: 29 \tTraining Loss: 13.225682 \tValidation Loss: 17.438863\n",
-      "Validation loss decreased (17.500954 --> 17.438863).  Saving model ...\n"
+      "Epoch: 0 \tTraining Loss: 45.999472 \tValidation Loss: 45.793694\n",
+      "Validation loss decreased (inf --> 45.793694).  Saving model ...\n",
+      "Epoch: 1 \tTraining Loss: 42.308313 \tValidation Loss: 38.150541\n",
+      "Validation loss decreased (45.793694 --> 38.150541).  Saving model ...\n",
+      "Epoch: 2 \tTraining Loss: 36.652867 \tValidation Loss: 34.225117\n",
+      "Validation loss decreased (38.150541 --> 34.225117).  Saving model ...\n",
+      "Epoch: 3 \tTraining Loss: 33.841798 \tValidation Loss: 32.205193\n",
+      "Validation loss decreased (34.225117 --> 32.205193).  Saving model ...\n",
+      "Epoch: 4 \tTraining Loss: 31.853201 \tValidation Loss: 29.615458\n",
+      "Validation loss decreased (32.205193 --> 29.615458).  Saving model ...\n",
+      "Epoch: 5 \tTraining Loss: 29.884601 \tValidation Loss: 27.765502\n",
+      "Validation loss decreased (29.615458 --> 27.765502).  Saving model ...\n",
+      "Epoch: 6 \tTraining Loss: 28.377217 \tValidation Loss: 27.000536\n",
+      "Validation loss decreased (27.765502 --> 27.000536).  Saving model ...\n",
+      "Epoch: 7 \tTraining Loss: 27.149024 \tValidation Loss: 25.451018\n",
+      "Validation loss decreased (27.000536 --> 25.451018).  Saving model ...\n",
+      "Epoch: 8 \tTraining Loss: 25.977717 \tValidation Loss: 24.618002\n",
+      "Validation loss decreased (25.451018 --> 24.618002).  Saving model ...\n",
+      "Epoch: 9 \tTraining Loss: 24.878096 \tValidation Loss: 23.476319\n",
+      "Validation loss decreased (24.618002 --> 23.476319).  Saving model ...\n",
+      "Epoch: 10 \tTraining Loss: 23.846595 \tValidation Loss: 22.293362\n",
+      "Validation loss decreased (23.476319 --> 22.293362).  Saving model ...\n",
+      "Epoch: 11 \tTraining Loss: 22.969165 \tValidation Loss: 21.881368\n",
+      "Validation loss decreased (22.293362 --> 21.881368).  Saving model ...\n",
+      "Epoch: 12 \tTraining Loss: 22.098309 \tValidation Loss: 21.231128\n",
+      "Validation loss decreased (21.881368 --> 21.231128).  Saving model ...\n",
+      "Epoch: 13 \tTraining Loss: 21.380647 \tValidation Loss: 21.078434\n",
+      "Validation loss decreased (21.231128 --> 21.078434).  Saving model ...\n",
+      "Epoch: 14 \tTraining Loss: 20.595100 \tValidation Loss: 20.183214\n",
+      "Validation loss decreased (21.078434 --> 20.183214).  Saving model ...\n",
+      "Epoch: 15 \tTraining Loss: 19.980440 \tValidation Loss: 19.576925\n",
+      "Validation loss decreased (20.183214 --> 19.576925).  Saving model ...\n",
+      "Epoch: 16 \tTraining Loss: 19.346762 \tValidation Loss: 19.992019\n",
+      "Epoch: 17 \tTraining Loss: 18.665643 \tValidation Loss: 18.855268\n",
+      "Validation loss decreased (19.576925 --> 18.855268).  Saving model ...\n",
+      "Epoch: 18 \tTraining Loss: 18.142000 \tValidation Loss: 19.016125\n",
+      "Epoch: 19 \tTraining Loss: 17.673281 \tValidation Loss: 18.335685\n",
+      "Validation loss decreased (18.855268 --> 18.335685).  Saving model ...\n",
+      "Epoch: 20 \tTraining Loss: 17.059131 \tValidation Loss: 18.498298\n",
+      "Epoch: 21 \tTraining Loss: 16.703492 \tValidation Loss: 18.549137\n",
+      "Epoch: 22 \tTraining Loss: 16.207475 \tValidation Loss: 17.950436\n",
+      "Validation loss decreased (18.335685 --> 17.950436).  Saving model ...\n",
+      "Epoch: 23 \tTraining Loss: 15.720740 \tValidation Loss: 17.939311\n",
+      "Validation loss decreased (17.950436 --> 17.939311).  Saving model ...\n",
+      "Epoch: 24 \tTraining Loss: 15.403235 \tValidation Loss: 17.776410\n",
+      "Validation loss decreased (17.939311 --> 17.776410).  Saving model ...\n",
+      "Epoch: 25 \tTraining Loss: 14.946114 \tValidation Loss: 18.138719\n",
+      "Epoch: 26 \tTraining Loss: 14.600405 \tValidation Loss: 17.516340\n",
+      "Validation loss decreased (17.776410 --> 17.516340).  Saving model ...\n",
+      "Epoch: 27 \tTraining Loss: 14.259865 \tValidation Loss: 18.372471\n",
+      "Epoch: 28 \tTraining Loss: 13.912905 \tValidation Loss: 17.499499\n",
+      "Validation loss decreased (17.516340 --> 17.499499).  Saving model ...\n",
+      "Epoch: 29 \tTraining Loss: 13.532889 \tValidation Loss: 17.301744\n",
+      "Validation loss decreased (17.499499 --> 17.301744).  Saving model ...\n"
      ]
     }
    ],
@@ -2030,19 +845,19 @@
     "                valid_loss_min, valid_loss\n",
     "            )\n",
     "        )\n",
-    "        torch.save(model.state_dict(), \"model_cifar.pt\")\n",
+    "        torch.save(model.state_dict(), \"new_model_cifar.pt\")\n",
     "        valid_loss_min = valid_loss"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 80,
+   "execution_count": 13,
    "id": "d9f13442",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -2063,7 +878,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 82,
+   "execution_count": 14,
    "id": "ea9fbfa6",
    "metadata": {},
    "outputs": [
@@ -2071,25 +886,25 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Test Loss: 17.497508\n",
+      "Test Loss: 17.409621\n",
       "\n",
-      "Test Accuracy of airplane: 74% (747/1000)\n",
-      "Test Accuracy of automobile: 83% (839/1000)\n",
-      "Test Accuracy of  bird: 65% (654/1000)\n",
-      "Test Accuracy of   cat: 57% (574/1000)\n",
-      "Test Accuracy of  deer: 71% (717/1000)\n",
-      "Test Accuracy of   dog: 53% (534/1000)\n",
-      "Test Accuracy of  frog: 79% (790/1000)\n",
-      "Test Accuracy of horse: 65% (657/1000)\n",
-      "Test Accuracy of  ship: 80% (805/1000)\n",
-      "Test Accuracy of truck: 74% (746/1000)\n",
+      "Test Accuracy of airplane: 77% (778/1000)\n",
+      "Test Accuracy of automobile: 85% (858/1000)\n",
+      "Test Accuracy of  bird: 58% (588/1000)\n",
+      "Test Accuracy of   cat: 51% (518/1000)\n",
+      "Test Accuracy of  deer: 62% (627/1000)\n",
+      "Test Accuracy of   dog: 59% (592/1000)\n",
+      "Test Accuracy of  frog: 86% (863/1000)\n",
+      "Test Accuracy of horse: 71% (715/1000)\n",
+      "Test Accuracy of  ship: 74% (749/1000)\n",
+      "Test Accuracy of truck: 78% (782/1000)\n",
       "\n",
-      "Test Accuracy (Overall): 70% (7063/10000)\n"
+      "Test Accuracy (Overall): 70% (7070/10000)\n"
      ]
     }
    ],
    "source": [
-    "model.load_state_dict(torch.load(\"./model_cifar.pt\"))\n",
+    "model.load_state_dict(torch.load(\"./new_model_cifar.pt\"))\n",
     "\n",
     "# track test loss\n",
     "test_loss = 0.0\n",
@@ -2156,7 +971,41 @@
    "id": "f670c160",
    "metadata": {},
    "source": [
-    "Compare the results obtained with this new network to those obtained previously."
+    "Compare the results obtained with this new network to those obtained previously.\n",
+    "\n",
+    "From the result of the previous network :\n",
+    "\n",
+    "\"Test Loss: 21.579472\n",
+    "Test Accuracy of airplane: 69% (695/1000)\n",
+    "Test Accuracy of automobile: 78% (785/1000)\n",
+    "Test Accuracy of  bird: 47% (475/1000)\n",
+    "Test Accuracy of   cat: 43% (431/1000)\n",
+    "Test Accuracy of  deer: 47% (478/1000)\n",
+    "Test Accuracy of   dog: 52% (522/1000)\n",
+    "Test Accuracy of  frog: 81% (816/1000)\n",
+    "Test Accuracy of horse: 64% (640/1000)\n",
+    "Test Accuracy of  ship: 75% (755/1000)\n",
+    "Test Accuracy of truck: 71% (717/1000)\n",
+    "Test Accuracy (Overall): 63% (6314/10000)\"\n",
+    "\n",
+    "and the new one :\n",
+    "\n",
+    "\"Test Loss: 17.270226\n",
+    "Test Accuracy of airplane: 76% (769/1000)\n",
+    "Test Accuracy of automobile: 80% (806/1000)\n",
+    "Test Accuracy of  bird: 54% (549/1000)\n",
+    "Test Accuracy of   cat: 55% (553/1000)\n",
+    "Test Accuracy of  deer: 68% (683/1000)\n",
+    "Test Accuracy of   dog: 54% (549/1000)\n",
+    "Test Accuracy of  frog: 81% (819/1000)\n",
+    "Test Accuracy of horse: 72% (725/1000)\n",
+    "Test Accuracy of  ship: 84% (841/1000)\n",
+    "Test Accuracy of truck: 80% (804/1000)\n",
+    "Test Accuracy (Overall): 70% (7098/10000)\"\n",
+    "\n",
+    "The test loos is 20% better that the first network and the accuracy 11% better. \n",
+    "\n",
+    "Thus it seems that the new network is more efficent due to the addition of a new convolution layer. "
    ]
   },
   {
@@ -2176,10 +1025,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "id": "ef623c26",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "model:  fp32  \t Size (KB): 251.278\n",
+      "model:  fp32  \t Size (KB): 758.082\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "758082"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "import os\n",
     "\n",
@@ -2192,7 +1060,8 @@
     "    return size\n",
     "\n",
     "\n",
-    "print_size_of_model(model, \"fp32\")"
+    "print_size_of_model(model, \"fp32\")\n",
+    "print_size_of_model(new_model, \"fp32\")"
    ]
   },
   {
@@ -2205,16 +1074,211 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 44,
    "id": "c4c65d4b",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "model:  int8  \t Size (KB): 76.522\n",
+      "model:  int8  \t Size (KB): 251.278\n"
+     ]
+    }
+   ],
    "source": [
     "import torch.quantization\n",
     "\n",
     "\n",
     "quantized_model = torch.quantization.quantize_dynamic(model, dtype=torch.qint8)\n",
-    "print_size_of_model(quantized_model, \"int8\")"
+    "#quantized_new_model = torch.quantization.quantize_dynamic(new_model, dtype=torch.qint8)\n",
+    "print_size_of_model(quantized_model, \"int8\")\n",
+    "print_size_of_model(model, \"int8\")\n",
+    "#torch.save(quantized_new_model.state_dict(), \"quantized_new_model_cifar.pt\")\n",
+    "torch.save(quantized_model.state_dict(), \"quantized_model_cifar.pt\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "d5bd1709",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test Loss: 21.115063\n",
+      "\n",
+      "Test Accuracy of airplane: 71% (711/1000)\n",
+      "Test Accuracy of automobile: 73% (732/1000)\n",
+      "Test Accuracy of  bird: 47% (470/1000)\n",
+      "Test Accuracy of   cat: 43% (431/1000)\n",
+      "Test Accuracy of  deer: 56% (561/1000)\n",
+      "Test Accuracy of   dog: 52% (523/1000)\n",
+      "Test Accuracy of  frog: 74% (748/1000)\n",
+      "Test Accuracy of horse: 69% (696/1000)\n",
+      "Test Accuracy of  ship: 69% (695/1000)\n",
+      "Test Accuracy of truck: 76% (765/1000)\n",
+      "\n",
+      "Test Accuracy (Overall): 63% (6332/10000)\n"
+     ]
+    }
+   ],
+   "source": [
+    "model.load_state_dict(torch.load(\"./model_cifar.pt\"))\n",
+    "\n",
+    "# track test loss\n",
+    "test_loss = 0.0\n",
+    "class_correct = list(0.0 for i in range(10))\n",
+    "class_total = list(0.0 for i in range(10))\n",
+    "\n",
+    "model.eval()\n",
+    "# iterate over test data\n",
+    "for data, target in test_loader:\n",
+    "    # move tensors to GPU if CUDA is available\n",
+    "    if train_on_gpu:\n",
+    "        data, target = data.cuda(), target.cuda()\n",
+    "    # forward pass: compute predicted outputs by passing inputs to the model\n",
+    "    output = model(data)\n",
+    "    # calculate the batch loss\n",
+    "    loss = criterion(output, target)\n",
+    "    # update test loss\n",
+    "    test_loss += loss.item() * data.size(0)\n",
+    "    # convert output probabilities to predicted class\n",
+    "    _, pred = torch.max(output, 1)\n",
+    "    # compare predictions to true label\n",
+    "    correct_tensor = pred.eq(target.data.view_as(pred))\n",
+    "    correct = (\n",
+    "        np.squeeze(correct_tensor.numpy())\n",
+    "        if not train_on_gpu\n",
+    "        else np.squeeze(correct_tensor.cpu().numpy())\n",
+    "    )\n",
+    "    # calculate test accuracy for each object class\n",
+    "    for i in range(batch_size):\n",
+    "        label = target.data[i]\n",
+    "        class_correct[label] += correct[i].item()\n",
+    "        class_total[label] += 1\n",
+    "\n",
+    "# average test loss\n",
+    "test_loss = test_loss / len(test_loader)\n",
+    "print(\"Test Loss: {:.6f}\\n\".format(test_loss))\n",
+    "\n",
+    "for i in range(10):\n",
+    "    if class_total[i] > 0:\n",
+    "        print(\n",
+    "            \"Test Accuracy of %5s: %2d%% (%2d/%2d)\"\n",
+    "            % (\n",
+    "                classes[i],\n",
+    "                100 * class_correct[i] / class_total[i],\n",
+    "                np.sum(class_correct[i]),\n",
+    "                np.sum(class_total[i]),\n",
+    "            )\n",
+    "        )\n",
+    "    else:\n",
+    "        print(\"Test Accuracy of %5s: N/A (no training examples)\" % (classes[i]))\n",
+    "\n",
+    "print(\n",
+    "    \"\\nTest Accuracy (Overall): %2d%% (%2d/%2d)\"\n",
+    "    % (\n",
+    "        100.0 * np.sum(class_correct) / np.sum(class_total),\n",
+    "        np.sum(class_correct),\n",
+    "        np.sum(class_total),\n",
+    "    )\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "89c2f808",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Test Loss: 21.107977\n",
+      "\n",
+      "Test Accuracy of airplane: 71% (711/1000)\n",
+      "Test Accuracy of automobile: 73% (730/1000)\n",
+      "Test Accuracy of  bird: 46% (465/1000)\n",
+      "Test Accuracy of   cat: 42% (428/1000)\n",
+      "Test Accuracy of  deer: 56% (568/1000)\n",
+      "Test Accuracy of   dog: 52% (529/1000)\n",
+      "Test Accuracy of  frog: 74% (748/1000)\n",
+      "Test Accuracy of horse: 69% (698/1000)\n",
+      "Test Accuracy of  ship: 69% (698/1000)\n",
+      "Test Accuracy of truck: 76% (767/1000)\n",
+      "\n",
+      "Test Accuracy (Overall): 63% (6342/10000)\n"
+     ]
+    }
+   ],
+   "source": [
+    "quantized_model.load_state_dict(torch.load(\"./quantized_model_cifar.pt\"))\n",
+    "\n",
+    "# track test loss\n",
+    "test_loss = 0.0\n",
+    "class_correct = list(0.0 for i in range(10))\n",
+    "class_total = list(0.0 for i in range(10))\n",
+    "\n",
+    "quantized_model.eval()\n",
+    "# iterate over test data\n",
+    "for data, target in test_loader:\n",
+    "    # move tensors to GPU if CUDA is available\n",
+    "    if train_on_gpu:\n",
+    "        data, target = data.cuda(), target.cuda()\n",
+    "    # forward pass: compute predicted outputs by passing inputs to the model\n",
+    "    output = quantized_model(data)\n",
+    "    # calculate the batch loss\n",
+    "    loss = criterion(output, target)\n",
+    "    # update test loss\n",
+    "    test_loss += loss.item() * data.size(0)\n",
+    "    # convert output probabilities to predicted class\n",
+    "    _, pred = torch.max(output, 1)\n",
+    "    # compare predictions to true label\n",
+    "    correct_tensor = pred.eq(target.data.view_as(pred))\n",
+    "    correct = (\n",
+    "        np.squeeze(correct_tensor.numpy())\n",
+    "        if not train_on_gpu\n",
+    "        else np.squeeze(correct_tensor.cpu().numpy())\n",
+    "    )\n",
+    "    # calculate test accuracy for each object class\n",
+    "    for i in range(batch_size):\n",
+    "        label = target.data[i]\n",
+    "        class_correct[label] += correct[i].item()\n",
+    "        class_total[label] += 1\n",
+    "\n",
+    "# average test loss\n",
+    "test_loss = test_loss / len(test_loader)\n",
+    "print(\"Test Loss: {:.6f}\\n\".format(test_loss))\n",
+    "\n",
+    "for i in range(10):\n",
+    "    if class_total[i] > 0:\n",
+    "        print(\n",
+    "            \"Test Accuracy of %5s: %2d%% (%2d/%2d)\"\n",
+    "            % (\n",
+    "                classes[i],\n",
+    "                100 * class_correct[i] / class_total[i],\n",
+    "                np.sum(class_correct[i]),\n",
+    "                np.sum(class_total[i]),\n",
+    "            )\n",
+    "        )\n",
+    "    else:\n",
+    "        print(\"Test Accuracy of %5s: N/A (no training examples)\" % (classes[i]))\n",
+    "\n",
+    "print(\n",
+    "    \"\\nTest Accuracy (Overall): %2d%% (%2d/%2d)\"\n",
+    "    % (\n",
+    "        100.0 * np.sum(class_correct) / np.sum(class_total),\n",
+    "        np.sum(class_correct),\n",
+    "        np.sum(class_total),\n",
+    "    )\n",
+    ")"
    ]
   },
   {
@@ -2225,6 +1289,17 @@
     "For each class, compare the classification test accuracy of the initial model and the quantized model. Also give the overall test accuracy for both models."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "c63fd33f",
+   "metadata": {},
+   "source": [
+    "The overall test Accuracy is equivalent 63% for both. \n",
+    "However, the Test Accuracy of  bird was 47% and then 46% quantizied and same for cat from 43% to 42%\n",
+    "Hence we can conlude that there is some slight decreased of the accuracy. \n",
+    "And the test loss is therfore a bit lower \n"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "a0a34b90",
@@ -2246,10 +1321,42 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 51,
    "id": "b4d13080",
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/lib/python3.9/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.\n",
+      "  warnings.warn(\n",
+      "/opt/anaconda3/lib/python3.9/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet50_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet50_Weights.DEFAULT` to get the most up-to-date weights.\n",
+      "  warnings.warn(msg)\n",
+      "Downloading: \"https://download.pytorch.org/models/resnet50-0676ba61.pth\" to /Users/paul/.cache/torch/hub/checkpoints/resnet50-0676ba61.pth\n",
+      "100%|██████████████████████████████████████| 97.8M/97.8M [00:15<00:00, 6.46MB/s]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Predicted class is: Golden Retriever\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "import json\n",
     "from PIL import Image\n",
@@ -2296,14 +1403,277 @@
    ]
   },
   {
-   "cell_type": "markdown",
-   "id": "184cfceb",
+   "cell_type": "code",
+   "execution_count": 58,
+   "id": "f09d6805",
    "metadata": {},
-   "source": [
-    "Experiments:\n",
-    "\n",
-    "Study the code and the results obtained. Possibly add other images downloaded from the internet.\n",
-    "\n",
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['tench', 'goldfish', 'great white shark', 'tiger shark', 'hammerhead shark', 'electric ray', 'stingray', 'cock', 'hen', 'ostrich', 'brambling', 'goldfinch', 'house finch', 'junco', 'indigo bunting', 'American robin', 'bulbul', 'jay', 'magpie', 'chickadee', 'American dipper', 'kite', 'bald eagle', 'vulture', 'great grey owl', 'fire salamander', 'smooth newt', 'newt', 'spotted salamander', 'axolotl', 'American bullfrog', 'tree frog', 'tailed frog', 'loggerhead sea turtle', 'leatherback sea turtle', 'mud turtle', 'terrapin', 'box turtle', 'banded gecko', 'green iguana', 'Carolina anole', 'desert grassland whiptail lizard', 'agama', 'frilled-necked lizard', 'alligator lizard', 'Gila monster', 'European green lizard', 'chameleon', 'Komodo dragon', 'Nile crocodile', 'American alligator', 'triceratops', 'worm snake', 'ring-necked snake', 'eastern hog-nosed snake', 'smooth green snake', 'kingsnake', 'garter snake', 'water snake', 'vine snake', 'night snake', 'boa constrictor', 'African rock python', 'Indian cobra', 'green mamba', 'sea snake', 'Saharan horned viper', 'eastern diamondback rattlesnake', 'sidewinder', 'trilobite', 'harvestman', 'scorpion', 'yellow garden spider', 'barn spider', 'European garden spider', 'southern black widow', 'tarantula', 'wolf spider', 'tick', 'centipede', 'black grouse', 'ptarmigan', 'ruffed grouse', 'prairie grouse', 'peacock', 'quail', 'partridge', 'grey parrot', 'macaw', 'sulphur-crested cockatoo', 'lorikeet', 'coucal', 'bee eater', 'hornbill', 'hummingbird', 'jacamar', 'toucan', 'duck', 'red-breasted merganser', 'goose', 'black swan', 'tusker', 'echidna', 'platypus', 'wallaby', 'koala', 'wombat', 'jellyfish', 'sea anemone', 'brain coral', 'flatworm', 'nematode', 'conch', 'snail', 'slug', 'sea slug', 'chiton', 'chambered nautilus', 'Dungeness crab', 'rock crab', 'fiddler crab', 'red king crab', 'American lobster', 'spiny lobster', 'crayfish', 'hermit crab', 'isopod', 'white stork', 'black stork', 'spoonbill', 'flamingo', 'little blue heron', 'great egret', 'bittern', 'crane', 'limpkin', 'common gallinule', 'American coot', 'bustard', 'ruddy turnstone', 'dunlin', 'common redshank', 'dowitcher', 'oystercatcher', 'pelican', 'king penguin', 'albatross', 'grey whale', 'killer whale', 'dugong', 'sea lion', 'Chihuahua', 'Japanese Chin', 'Maltese', 'Pekingese', 'Shih Tzu', 'King Charles Spaniel', 'Papillon', 'toy terrier', 'Rhodesian Ridgeback', 'Afghan Hound', 'Basset Hound', 'Beagle', 'Bloodhound', 'Bluetick Coonhound', 'Black and Tan Coonhound', 'Treeing Walker Coonhound', 'English foxhound', 'Redbone Coonhound', 'borzoi', 'Irish Wolfhound', 'Italian Greyhound', 'Whippet', 'Ibizan Hound', 'Norwegian Elkhound', 'Otterhound', 'Saluki', 'Scottish Deerhound', 'Weimaraner', 'Staffordshire Bull Terrier', 'American Staffordshire Terrier', 'Bedlington Terrier', 'Border Terrier', 'Kerry Blue Terrier', 'Irish Terrier', 'Norfolk Terrier', 'Norwich Terrier', 'Yorkshire Terrier', 'Wire Fox Terrier', 'Lakeland Terrier', 'Sealyham Terrier', 'Airedale Terrier', 'Cairn Terrier', 'Australian Terrier', 'Dandie Dinmont Terrier', 'Boston Terrier', 'Miniature Schnauzer', 'Giant Schnauzer', 'Standard Schnauzer', 'Scottish Terrier', 'Tibetan Terrier', 'Australian Silky Terrier', 'Soft-coated Wheaten Terrier', 'West Highland White Terrier', 'Lhasa Apso', 'Flat-Coated Retriever', 'Curly-coated Retriever', 'Golden Retriever', 'Labrador Retriever', 'Chesapeake Bay Retriever', 'German Shorthaired Pointer', 'Vizsla', 'English Setter', 'Irish Setter', 'Gordon Setter', 'Brittany', 'Clumber Spaniel', 'English Springer Spaniel', 'Welsh Springer Spaniel', 'Cocker Spaniels', 'Sussex Spaniel', 'Irish Water Spaniel', 'Kuvasz', 'Schipperke', 'Groenendael', 'Malinois', 'Briard', 'Australian Kelpie', 'Komondor', 'Old English Sheepdog', 'Shetland Sheepdog', 'collie', 'Border Collie', 'Bouvier des Flandres', 'Rottweiler', 'German Shepherd Dog', 'Dobermann', 'Miniature Pinscher', 'Greater Swiss Mountain Dog', 'Bernese Mountain Dog', 'Appenzeller Sennenhund', 'Entlebucher Sennenhund', 'Boxer', 'Bullmastiff', 'Tibetan Mastiff', 'French Bulldog', 'Great Dane', 'St. Bernard', 'husky', 'Alaskan Malamute', 'Siberian Husky', 'Dalmatian', 'Affenpinscher', 'Basenji', 'pug', 'Leonberger', 'Newfoundland', 'Pyrenean Mountain Dog', 'Samoyed', 'Pomeranian', 'Chow Chow', 'Keeshond', 'Griffon Bruxellois', 'Pembroke Welsh Corgi', 'Cardigan Welsh Corgi', 'Toy Poodle', 'Miniature Poodle', 'Standard Poodle', 'Mexican hairless dog', 'grey wolf', 'Alaskan tundra wolf', 'red wolf', 'coyote', 'dingo', 'dhole', 'African wild dog', 'hyena', 'red fox', 'kit fox', 'Arctic fox', 'grey fox', 'tabby cat', 'tiger cat', 'Persian cat', 'Siamese cat', 'Egyptian Mau', 'cougar', 'lynx', 'leopard', 'snow leopard', 'jaguar', 'lion', 'tiger', 'cheetah', 'brown bear', 'American black bear', 'polar bear', 'sloth bear', 'mongoose', 'meerkat', 'tiger beetle', 'ladybug', 'ground beetle', 'longhorn beetle', 'leaf beetle', 'dung beetle', 'rhinoceros beetle', 'weevil', 'fly', 'bee', 'ant', 'grasshopper', 'cricket', 'stick insect', 'cockroach', 'mantis', 'cicada', 'leafhopper', 'lacewing', 'dragonfly', 'damselfly', 'red admiral', 'ringlet', 'monarch butterfly', 'small white', 'sulphur butterfly', 'gossamer-winged butterfly', 'starfish', 'sea urchin', 'sea cucumber', 'cottontail rabbit', 'hare', 'Angora rabbit', 'hamster', 'porcupine', 'fox squirrel', 'marmot', 'beaver', 'guinea pig', 'common sorrel', 'zebra', 'pig', 'wild boar', 'warthog', 'hippopotamus', 'ox', 'water buffalo', 'bison', 'ram', 'bighorn sheep', 'Alpine ibex', 'hartebeest', 'impala', 'gazelle', 'dromedary', 'llama', 'weasel', 'mink', 'European polecat', 'black-footed ferret', 'otter', 'skunk', 'badger', 'armadillo', 'three-toed sloth', 'orangutan', 'gorilla', 'chimpanzee', 'gibbon', 'siamang', 'guenon', 'patas monkey', 'baboon', 'macaque', 'langur', 'black-and-white colobus', 'proboscis monkey', 'marmoset', 'white-headed capuchin', 'howler monkey', 'titi', \"Geoffroy's spider monkey\", 'common squirrel monkey', 'ring-tailed lemur', 'indri', 'Asian elephant', 'African bush elephant', 'red panda', 'giant panda', 'snoek', 'eel', 'coho salmon', 'rock beauty', 'clownfish', 'sturgeon', 'garfish', 'lionfish', 'pufferfish', 'abacus', 'abaya', 'academic gown', 'accordion', 'acoustic guitar', 'aircraft carrier', 'airliner', 'airship', 'altar', 'ambulance', 'amphibious vehicle', 'analog clock', 'apiary', 'apron', 'waste container', 'assault rifle', 'backpack', 'bakery', 'balance beam', 'balloon', 'ballpoint pen', 'Band-Aid', 'banjo', 'baluster', 'barbell', 'barber chair', 'barbershop', 'barn', 'barometer', 'barrel', 'wheelbarrow', 'baseball', 'basketball', 'bassinet', 'bassoon', 'swimming cap', 'bath towel', 'bathtub', 'station wagon', 'lighthouse', 'beaker', 'military cap', 'beer bottle', 'beer glass', 'bell-cot', 'bib', 'tandem bicycle', 'bikini', 'ring binder', 'binoculars', 'birdhouse', 'boathouse', 'bobsleigh', 'bolo tie', 'poke bonnet', 'bookcase', 'bookstore', 'bottle cap', 'bow', 'bow tie', 'brass', 'bra', 'breakwater', 'breastplate', 'broom', 'bucket', 'buckle', 'bulletproof vest', 'high-speed train', 'butcher shop', 'taxicab', 'cauldron', 'candle', 'cannon', 'canoe', 'can opener', 'cardigan', 'car mirror', 'carousel', 'tool kit', 'carton', 'car wheel', 'automated teller machine', 'cassette', 'cassette player', 'castle', 'catamaran', 'CD player', 'cello', 'mobile phone', 'chain', 'chain-link fence', 'chain mail', 'chainsaw', 'chest', 'chiffonier', 'chime', 'china cabinet', 'Christmas stocking', 'church', 'movie theater', 'cleaver', 'cliff dwelling', 'cloak', 'clogs', 'cocktail shaker', 'coffee mug', 'coffeemaker', 'coil', 'combination lock', 'computer keyboard', 'confectionery store', 'container ship', 'convertible', 'corkscrew', 'cornet', 'cowboy boot', 'cowboy hat', 'cradle', 'crane', 'crash helmet', 'crate', 'infant bed', 'Crock Pot', 'croquet ball', 'crutch', 'cuirass', 'dam', 'desk', 'desktop computer', 'rotary dial telephone', 'diaper', 'digital clock', 'digital watch', 'dining table', 'dishcloth', 'dishwasher', 'disc brake', 'dock', 'dog sled', 'dome', 'doormat', 'drilling rig', 'drum', 'drumstick', 'dumbbell', 'Dutch oven', 'electric fan', 'electric guitar', 'electric locomotive', 'entertainment center', 'envelope', 'espresso machine', 'face powder', 'feather boa', 'filing cabinet', 'fireboat', 'fire engine', 'fire screen sheet', 'flagpole', 'flute', 'folding chair', 'football helmet', 'forklift', 'fountain', 'fountain pen', 'four-poster bed', 'freight car', 'French horn', 'frying pan', 'fur coat', 'garbage truck', 'gas mask', 'gas pump', 'goblet', 'go-kart', 'golf ball', 'golf cart', 'gondola', 'gong', 'gown', 'grand piano', 'greenhouse', 'grille', 'grocery store', 'guillotine', 'barrette', 'hair spray', 'half-track', 'hammer', 'hamper', 'hair dryer', 'hand-held computer', 'handkerchief', 'hard disk drive', 'harmonica', 'harp', 'harvester', 'hatchet', 'holster', 'home theater', 'honeycomb', 'hook', 'hoop skirt', 'horizontal bar', 'horse-drawn vehicle', 'hourglass', 'iPod', 'clothes iron', \"jack-o'-lantern\", 'jeans', 'jeep', 'T-shirt', 'jigsaw puzzle', 'pulled rickshaw', 'joystick', 'kimono', 'knee pad', 'knot', 'lab coat', 'ladle', 'lampshade', 'laptop computer', 'lawn mower', 'lens cap', 'paper knife', 'library', 'lifeboat', 'lighter', 'limousine', 'ocean liner', 'lipstick', 'slip-on shoe', 'lotion', 'speaker', 'loupe', 'sawmill', 'magnetic compass', 'mail bag', 'mailbox', 'tights', 'tank suit', 'manhole cover', 'maraca', 'marimba', 'mask', 'match', 'maypole', 'maze', 'measuring cup', 'medicine chest', 'megalith', 'microphone', 'microwave oven', 'military uniform', 'milk can', 'minibus', 'miniskirt', 'minivan', 'missile', 'mitten', 'mixing bowl', 'mobile home', 'Model T', 'modem', 'monastery', 'monitor', 'moped', 'mortar', 'square academic cap', 'mosque', 'mosquito net', 'scooter', 'mountain bike', 'tent', 'computer mouse', 'mousetrap', 'moving van', 'muzzle', 'nail', 'neck brace', 'necklace', 'nipple', 'notebook computer', 'obelisk', 'oboe', 'ocarina', 'odometer', 'oil filter', 'organ', 'oscilloscope', 'overskirt', 'bullock cart', 'oxygen mask', 'packet', 'paddle', 'paddle wheel', 'padlock', 'paintbrush', 'pajamas', 'palace', 'pan flute', 'paper towel', 'parachute', 'parallel bars', 'park bench', 'parking meter', 'passenger car', 'patio', 'payphone', 'pedestal', 'pencil case', 'pencil sharpener', 'perfume', 'Petri dish', 'photocopier', 'plectrum', 'Pickelhaube', 'picket fence', 'pickup truck', 'pier', 'piggy bank', 'pill bottle', 'pillow', 'ping-pong ball', 'pinwheel', 'pirate ship', 'pitcher', 'hand plane', 'planetarium', 'plastic bag', 'plate rack', 'plow', 'plunger', 'Polaroid camera', 'pole', 'police van', 'poncho', 'billiard table', 'soda bottle', 'pot', \"potter's wheel\", 'power drill', 'prayer rug', 'printer', 'prison', 'projectile', 'projector', 'hockey puck', 'punching bag', 'purse', 'quill', 'quilt', 'race car', 'racket', 'radiator', 'radio', 'radio telescope', 'rain barrel', 'recreational vehicle', 'reel', 'reflex camera', 'refrigerator', 'remote control', 'restaurant', 'revolver', 'rifle', 'rocking chair', 'rotisserie', 'eraser', 'rugby ball', 'ruler', 'running shoe', 'safe', 'safety pin', 'salt shaker', 'sandal', 'sarong', 'saxophone', 'scabbard', 'weighing scale', 'school bus', 'schooner', 'scoreboard', 'CRT screen', 'screw', 'screwdriver', 'seat belt', 'sewing machine', 'shield', 'shoe store', 'shoji', 'shopping basket', 'shopping cart', 'shovel', 'shower cap', 'shower curtain', 'ski', 'ski mask', 'sleeping bag', 'slide rule', 'sliding door', 'slot machine', 'snorkel', 'snowmobile', 'snowplow', 'soap dispenser', 'soccer ball', 'sock', 'solar thermal collector', 'sombrero', 'soup bowl', 'space bar', 'space heater', 'space shuttle', 'spatula', 'motorboat', 'spider web', 'spindle', 'sports car', 'spotlight', 'stage', 'steam locomotive', 'through arch bridge', 'steel drum', 'stethoscope', 'scarf', 'stone wall', 'stopwatch', 'stove', 'strainer', 'tram', 'stretcher', 'couch', 'stupa', 'submarine', 'suit', 'sundial', 'sunglass', 'sunglasses', 'sunscreen', 'suspension bridge', 'mop', 'sweatshirt', 'swimsuit', 'swing', 'switch', 'syringe', 'table lamp', 'tank', 'tape player', 'teapot', 'teddy bear', 'television', 'tennis ball', 'thatched roof', 'front curtain', 'thimble', 'threshing machine', 'throne', 'tile roof', 'toaster', 'tobacco shop', 'toilet seat', 'torch', 'totem pole', 'tow truck', 'toy store', 'tractor', 'semi-trailer truck', 'tray', 'trench coat', 'tricycle', 'trimaran', 'tripod', 'triumphal arch', 'trolleybus', 'trombone', 'tub', 'turnstile', 'typewriter keyboard', 'umbrella', 'unicycle', 'upright piano', 'vacuum cleaner', 'vase', 'vault', 'velvet', 'vending machine', 'vestment', 'viaduct', 'violin', 'volleyball', 'waffle iron', 'wall clock', 'wallet', 'wardrobe', 'military aircraft', 'sink', 'washing machine', 'water bottle', 'water jug', 'water tower', 'whiskey jug', 'whistle', 'wig', 'window screen', 'window shade', 'Windsor tie', 'wine bottle', 'wing', 'wok', 'wooden spoon', 'wool', 'split-rail fence', 'shipwreck', 'yawl', 'yurt', 'website', 'comic book', 'crossword', 'traffic sign', 'traffic light', 'dust jacket', 'menu', 'plate', 'guacamole', 'consomme', 'hot pot', 'trifle', 'ice cream', 'ice pop', 'baguette', 'bagel', 'pretzel', 'cheeseburger', 'hot dog', 'mashed potato', 'cabbage', 'broccoli', 'cauliflower', 'zucchini', 'spaghetti squash', 'acorn squash', 'butternut squash', 'cucumber', 'artichoke', 'bell pepper', 'cardoon', 'mushroom', 'Granny Smith', 'strawberry', 'orange', 'lemon', 'fig', 'pineapple', 'banana', 'jackfruit', 'custard apple', 'pomegranate', 'hay', 'carbonara', 'chocolate syrup', 'dough', 'meatloaf', 'pizza', 'pot pie', 'burrito', 'red wine', 'espresso', 'cup', 'eggnog', 'alp', 'bubble', 'cliff', 'coral reef', 'geyser', 'lakeshore', 'promontory', 'shoal', 'seashore', 'valley', 'volcano', 'baseball player', 'bridegroom', 'scuba diver', 'rapeseed', 'daisy', \"yellow lady's slipper\", 'corn', 'acorn', 'rose hip', 'horse chestnut seed', 'coral fungus', 'agaric', 'gyromitra', 'stinkhorn mushroom', 'earth star', 'hen-of-the-woods', 'bolete', 'ear', 'toilet paper']\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(labels)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "id": "76c03381",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Predicted class is: hot dog\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import json\n",
+    "from PIL import Image\n",
+    "\n",
+    "# Choose an image to pass through the model\n",
+    "test_image = \"hot_dog.jpeg\"\n",
+    "\n",
+    "# Configure matplotlib for pretty inline plots\n",
+    "#%matplotlib inline\n",
+    "#%config InlineBackend.figure_format = 'retina'\n",
+    "\n",
+    "# Prepare the labels\n",
+    "with open(\"imagenet-simple-labels.json\") as f:\n",
+    "    labels = json.load(f)\n",
+    "\n",
+    "# First prepare the transformations: resize the image to what the model was trained on and convert it to a tensor\n",
+    "data_transform = transforms.Compose(\n",
+    "    [\n",
+    "        transforms.Resize((224, 224)),\n",
+    "        transforms.ToTensor(),\n",
+    "        transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]),\n",
+    "    ]\n",
+    ")\n",
+    "# Load the image\n",
+    "\n",
+    "image = Image.open(test_image)\n",
+    "plt.imshow(image), plt.xticks([]), plt.yticks([])\n",
+    "\n",
+    "# Now apply the transformation, expand the batch dimension, and send the image to the GPU\n",
+    "# image = data_transform(image).unsqueeze(0).cuda()\n",
+    "image = data_transform(image).unsqueeze(0)\n",
+    "\n",
+    "# Download the model if it's not there already. It will take a bit on the first run, after that it's fast\n",
+    "model = models.resnet50(pretrained=True)\n",
+    "# Send the model to the GPU\n",
+    "# model.cuda()\n",
+    "# Set layers such as dropout and batchnorm in evaluation mode\n",
+    "model.eval()\n",
+    "\n",
+    "# Get the 1000-dimensional model output\n",
+    "out = model(image)\n",
+    "# Find the predicted class\n",
+    "print(\"Predicted class is: {}\".format(labels[out.argmax()]))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "id": "af2be71c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Size of the model :\n",
+      "model:  int8  \t Size (KB): 102523.238\n",
+      "When quantized\n",
+      "model:  int8  \t Size (KB): 96379.996\n",
+      "Purcentage of quntization\n",
+      "5.992048358831584\n"
+     ]
+    }
+   ],
+   "source": [
+    "import torch.quantization\n",
+    "print('Size of the model :')\n",
+    "print_size_of_model(model, \"int8\")\n",
+    "print('When quantized')\n",
+    "quantized_model = torch.quantization.quantize_dynamic(model, dtype=torch.qint8)\n",
+    "print_size_of_model(quantized_model, \"int8\")\n",
+    "print('Purcentage of quantization:')\n",
+    "print((102523.238-96379.996)/102523.238*100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "id": "a4dc48ac",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Predicted class is: hot dog\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import json\n",
+    "from PIL import Image\n",
+    "\n",
+    "# Choose an image to pass through the model\n",
+    "test_image = \"hot_dog.jpeg\"\n",
+    "\n",
+    "# Configure matplotlib for pretty inline plots\n",
+    "#%matplotlib inline\n",
+    "#%config InlineBackend.figure_format = 'retina'\n",
+    "\n",
+    "# Prepare the labels\n",
+    "with open(\"imagenet-simple-labels.json\") as f:\n",
+    "    labels = json.load(f)\n",
+    "\n",
+    "# First prepare the transformations: resize the image to what the model was trained on and convert it to a tensor\n",
+    "data_transform = transforms.Compose(\n",
+    "    [\n",
+    "        transforms.Resize((224, 224)),\n",
+    "        transforms.ToTensor(),\n",
+    "        transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]),\n",
+    "    ]\n",
+    ")\n",
+    "# Load the image\n",
+    "\n",
+    "image = Image.open(test_image)\n",
+    "plt.imshow(image), plt.xticks([]), plt.yticks([])\n",
+    "\n",
+    "# Now apply the transformation, expand the batch dimension, and send the image to the GPU\n",
+    "# image = data_transform(image).unsqueeze(0).cuda()\n",
+    "image = data_transform(image).unsqueeze(0)\n",
+    "\n",
+    "#use quantized_model\n",
+    "quantized_model.eval()\n",
+    "\n",
+    "# Get the 1000-dimensional model output\n",
+    "out = quantized_model(image)\n",
+    "# Find the predicted class\n",
+    "print(\"Predicted class is: {}\".format(labels[out.argmax()]))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dfb56a19",
+   "metadata": {},
+   "source": [
+    "When quantized we find the same class since the accuracy is almost the same, but the model is 5.9% lighter."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "id": "a1c95464",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Size of the model :\n",
+      "model:  int8  \t Size (KB): 244408.234\n",
+      "Predicted class is: hot dog\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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CR5uBxxQYxzEbzbKsZzCQRFBS7mnx8ud7lVLC6Mc3oW8y3uchhIeA4EMgQc0inQ8c89sYhMeO/XCPf8xYPQYIPvS5s1F9CBAeHic/sHAj987n/LweHvv72rHz8UOM/Q/5LCV5QjxkZR4ChPP78SEA810//w8KEH44jfP+pPkmBDmPvDl+95GA9A3aETn/9+yaz3Z9YQ2WA57dnJSp0vmNSilES9lOhVm8NLtJsxIiyfy7kGIoi+R0DbJnlT17lNA0LVVVoY3BOZ/DpQYkCQqI3hGBod+BjljVYC3UtaFpG8S3qOSx4ZLQH5mcoxsSZucgHmlqzWqtuaotldIYBSF5QvSkNGY9hR8hGkQFjMmUc4oRrRRGJzabBkH47BMPKdPyFxcVdVVRVRbvI8nl7+pDYJwixVnLgiVJbPZgbcJYaGuVgVRliD6HX0YjJC/4KHkDlIRVgtWJykSsFqyGps7GTatsaILPAs+2UVRGMDpglEOnKd+ZmBBlMdpycbHmxfMn+Ki5uH5CtVoxjmMOicSAhoX9iSlAdAStStgoh5FSykwRKaHQp0VPdp2TyvH0WMIXD2fkSYRYqGSKSLF4qjPgWDaNs3PK55V/UiZ4FqZqXhGpCM6M0ejimQPEZS5GlBIonnuKnlTum0+O0U1ooNaaVdMQR0eaHKu2oW1XXD59BlWFWEtoG3TbkkIAVAHrp/OeLWwsgFyAEFMR70p+LCZiSCUc55f1GucQispuuhKwWqG8zoBuygzC0PcQIzdv3rAaRpr1mraqUCI5JOKzYsi7HKaYJlfWrOBdhdIabW1ZxfnaiiLH3qWsflHL79nxyWBuPtlEcRz0BwTTHzCij1HK38QcLP+m9/fw78IgPAQHH2IEHu7NH7IBH3r+scc/xBznv8uSOLMVj9mHx8DCD2EQfohN01o/arg/NPIaOK3l88//kB7kmwDCdxVJ/miA8EPG972g3+XlD2mkOXb7fcbMsn6QOkiPPL3spWWynf2+3Jj4/k0SPW/WeSNRkggIIglVpIlZX3DKYgjpDEFL9rJTEfCRIlqEtm2pmxZTWYZxQrlENJBC9qTcOBDcSLiLJOVJeoMxirrRrLctkia0EjDCpGvGY8/uGBiGif3dkdVac31tWV+0NK3NYQrv8L4jRgcR/GiJtUakwTaaFEEFUJIzA5482XB5sWLdaNzk8T5SNSuUMiipGHpPilOhhMEHcFPWDtB5nANbw8UlrNfQXhq0Noiy6JSwOjEdI8lnPVmldAFPiqoJtI2jqaCpEqs20jaK7aaibcBPiugqrNHUNmF0QItDM+ZwWnRgLEZrrq+2/OQnmtXmCbp+iUsVh+ORqXwnA4Uij7jokJBIWhetSczMCoWqloRKJwHXzAgs8yUqICCSjX4ih+9PGgPJBrVsJOdCxrzeTgxCSIGUsvgvlHBB9kwEKWEsSSdPJaWItQ2VMWilgBxyiCGDAVOYAwX4KX+vFDxDd+Bu3FFri4RIYw2hsqSq4vrqgsurK376iz9HNQ1iLR0wxMjOe1JUOQVAJxCFKA1kcJwBgmTGKAWElEMticzsp0CQiHNne42UlVYofKUNVussZgQG1ZNSZOw6pq5n6nouNls26zX2+XNs22YRo5rAJcYhENzI0HU454o+w6KNwdYNxmQNDgWgNU0zR0iWFT3vGCmVx1LifJfQSoM8vl8+akQfYQHugYMH750fO3/vt33WN4GAx4DAY+Dh+xrVhelQamER5uOcjxlcZ8D6+HEeMgnnx3mM+fg+5/d93/O97SCZQfhQeOf8uPPPh9gNY76b6f8nAQjfd8yI8PT3/dDCh27q900lScVzf+xoj+GGe3+fLcD5vPLCe3Dy5Tmlslc/MwhJyidLmvmCslGrAlwSok2WZknGkmo+CZXQojBKUTU1m4sLnjx7zpuvX5OK0W7rFUobHJExOsY0EuNAiobVxQXNKlPr43rD1A/svvwaQkW9DvjpgHcDQ+8ZfY55XV4dUTqw2Soqa6mriv3OM/WBr/ZH9rcjx7s7njy7pqosRgW8m5gGj+isxm1qRdM05ZtUgCIlg1aWpmmxVcM4Bp6/cAy9Y5p8TpsME7vbI5IgeqirEWsDxiSIhQJXnuAm7t71uDF7jU+eboguEn02bscmMk3QtobVyrJpKrxRHO4S03CkPww8eTpidMSqQPSJ6AP98QbUiF01aLFs1xv6qAlT4tgPpGSpqpZmtULXLcZWRKWIUpzHeQEX7zeHmRQm6tNzheY/ZTCcQg2n19yf3+9FqM4eW8RwZM80KTApA5FgIimSDXHRIEhhJ2Zqt7IGow0p+kzR+yxQTIUpkXnOpph/yIDgSq857A70xyP7mxuCCxgR1quW1XqNXjWIsTlENE1IjOgUl4i4iM5rQwoEEUFiMUCU9YWirtu8tmIWJCYy/Z/SrOGZPfbZ0yKH4EiYVc260rSrGtePJO+JLuCGnoNzaO+p6op2vUFtVti2pqlt1luQmJzJYYfCEPpxZJrGvIIT+b2bTblCed3PICGW6OQM+jkDCXo2tI/sOu//v+wt5X8iZ/e+/P7wsdNG9/2N4ofG9zWyj1H/3wVAfEiLlt8vKEnvOZb/KYWK33f8kDRHJVlk/Rh786GQy4c+5w/GIPxQkcY/1md+m1jxex/7g3+8/3g25O+d3L2wAunxc8ub1YPPKMD3fJ8/P/5iOFIsz5VXFNQ8GxJbV7TrNcrcgPMEH9Ba09QNTVOTXGLwIzFOxDiSHR2NVi0GjdUVXX3EjBHbDEy+eJuhZ5wC/RDp+4l2EC4usvDPKMWgFZ7I2HsUHiMDVxctorO4EAIxTNmqo1Aqe8xJhBQ8KakcMhGN0pq2bbFVwthAXU+Mo6OzhmnQdIeJFCH6hBsTKSSiDRhRaGUwWhA8bvJMI4DGj9lwiSSQgHcRbbJxrm3+V6GI3jP2nnFMbLYZeMzhneCh73MqoE1HomxRuiFMEeci4+hIpkIbi7EV2lSI1ku2Sv6+5caWPFkRyWmpD9XHSmUNwixkk5O4DbJo6dygzHMGHmhzeH9NiAhKKzQaCVL0dGczrniukubPzWGa6MMiSIzBQww57ZaSYhgDxIgUIGuVxo8TUz8wjSNGNJW1NE1NXedrI2oObWRwoVJCzesopeXaJTn/htz7VykNKRFVFn5mjUUR+87XqDD587cMKaIgA0oxWKPRQHQanwaIieAmhuORMI2I91gjmFpn460Vqa7QWvDB4HwgxIQvGTchZj2MKqzLwhgs5y7zFrE8e84szIb+4aZ08vjPDNoDJvO0mSTubSznjy2fmZZjPTZPvs3Dfkjhf5NN+NDj3wVYfJd9Pztf6htf+yGA8IccPwSMpOW+fbO9eyx08kPHjwYI8QdkMXz/cUJE33Sz5/FDQAvkhTKlszSc9OFow3k4+NyQn4cV7v394HcTilI8lWiwzPkKnOUtRE6+VD5DgazoTymLykTQxqDLztJ1PVobLq+vePv2LXHvuLm5ZXO5pt22bOKKNATevuvou0hgZHO1wlYttm6ydkBqqvVISi0SGo5SM+k9yigUHeO05+27PSF2XF9eUNeJqsr1EvwU+cIfEYE4QJpGqAXWW6xKGHEcDh3OB1xIHA6R4zEWBb9CK4s2LUo3VGaNiAEsxtaIVChdo9YRc32JqRJaB+J0ZBodfXJcX7U01Yqri8TYCVV1hxIDUTMNEyTBKMsYHJOGaYDxEHDdSFUJ3sObrw/sd3A45O18s4Wr6yOTg2GC168FF3rEBOrNJ5hG8dXbI90k7AZNe7WlrlbYaoPYiiSGEAM+RpQpBkLP2SuzLnY2CAUcpKwJWAyaFFX+POckGxc3ufkFZxkLsbzx/TRHJWCLABJFThRUGgm56EoOK+TzWfLLlSaGnLERhlwPIXmX1e8pg4IQPMFPROcgxqy/cJ5x6Ll9+47j4YCEyMXVFU+un/Di2VOqdgXBU1xvCLm+B97n+hA6lzdKCpJRxetOpJivVYw5m0bIIahENvohxhLW8Vm0SiKVLChVREYCBO8RoElZd1JpTb1pUTEhTZMLLk0eP4xMfcf+3VsaP1BNV9RNDiNcbNdLnZbB+6zZ6Ub6YWCaPP00EYJn7IfCEs45PZKzNApqOVcvxfn/fjrtMY+FFB7uSY/Q+Y95kw9DDyVP5NHjfdPnPTzWPOb9d87Vn3+fn/vQsd8/r9PzM5M1H/OxbLj7XnXMeyLfDyD8oRiEH5bFUFJ+z+ofnGcxLK+bHYjz8OOD8V3t8I8XKT5IXfku4/sa7/MaCOfv/yaQ8ENiPEDJs56P8cgL0v3nHgs9zEj9FGY4e+O985vDDHl5zn5GfvssvVInnJ+AlAVgWXNg0FKqTIaSejYOGK1zhThjiEoxTJ5VAm0sVV1j48Ccjug9OZa8FErJxqOu10gwMKlMuwYw2iFRIb5sfl3ETRNGJZKO2GqFNsLlhSsTNxDdxDSAtQZCQACthZiEkHL6qtIRUXOxE5N5eGAq6YnZu9QkFNbUOXvJJaKLpODphx7nYBgdKRxpmsDYJ4ZxICaoG40SRXQBY2vaZoUyNaiAKIcRhUoGRYVREWsGqipQVZl6T4Elw8AYhdaRmCxJKrRpsdWKJCOIwtYNSjeIWERZRAwBTQgBnxJqXpeSBaaxzKWZOoT8u5K8ISrIwrqYQWTex2OJbcN92HB/Xp7m2X0qOqaIRCmZDizvP204+dVKMojIGTDZeKeY554AWmWGIcUEMZC8zyl1JKw1uP3Izdt3dIcj3nlWqxUXFxdcXV+jtc41FF5/zegczjuOPqCspbm6zmApJXJGBpSk3lLcaU73ShnMpEQf3QKuZ6Ad5nThM5F+LNSzAGJLNoSorOkp90QgF8qyBq0EW0S2KYRcKOx4yO9vakSaHPoxhlrrDBbI+qep9ljXZPMbYwEIRaRaQKEsQsyS5liue0oRCY+DgMd+n/9+mMXwTXqA0/vf37+/Dzj4EEiYX/Ow9sH3BQfnx3v42Ifi71otS+S9135TeOI/6yEnzciH2J7zf+H96/3wtd82fjRA0GVRfNfxQ9IcHyuSdP77hxiD7y8CyRPr3nh43DPK7zFYtEgPz29gzMb9/KYqLZTtKbMBzLnx+Sg5tXFWOxe1ewqEEPEuG04rAkojShNCjrke+551u6JqKrS1eK3pJ0dA0MZS64Y69sUAOZyLhDCRQoXYBCVFrm23GBpUqHH9REqKJiWiAz/smaZI1wWmYcQoqExCry3KVDy9nhiniXEKeDfC0WMEpKxaa3RmGABbBeoA2hiUMmjd4IMhBGEYXPEYPEbXaJ21DjFqpkGjdCCJY3f3jm6I3O0c03jHanWABMcu4CNsV4rKGrrdSF1bttsrjM1ehnNHaq0xYrBKkcTTNh0xTsCUvfuk0KrC2gqUoakcogxBrajrLU1zidJ3aKtp1CXKtohUiFQghhglCy1jrisxz8rAKdQ0z+EZVMZ0WispRERBnGsgzMElKWWYi8U73yDPqyjO70HOYu+SQyrCnD4cSSnc88yMkmLISpGuBRxkK2qUQiXwJCQGonNoycChsYau73j3xSuOxyNaay6fPOX6yROePHtGioGuH/jq1SvuDgcOfcdxnNhcXvLn/2IFJkA0aNElkwOS6CWsdg4QUop0fiiLUkgqa3rQ+fc4L1wRzutINNagC1uTtQsRVWyZaMEojbGGqmko+SF83e3Z7+4yOFKJdVwhCpTRVMbmEszGUDU1PkR8FPph4Ha/J4kCiadzgZLOmrNwTiJTDSkSff/hveoRYwBZfPZNRvcegMhPlD3n2yspPrafPpZWmedTnschnIS1D8/p4fd47PPOwcCH0vsee4/WaqmdM79//veb9Acf+s7fZLMefu9vGudsyMPxobDDHFpQcpo382vPdUKPAbbHKmfOj3+X8QcvlPSDqP8Uv9OF/8f4rEcnRDr7Z0abp4eZpkwFqrJhKymxYyl0sjpRbkuczBrMXAQnQUiJnO2WctgmlRhqpg2yN1l0Bqsm974wJUVqrtqGCHW7IonQTxNX10/xpiLsDuwHz/7zV1y9aKnaFb/48z/n1esvuNm944vPf8fF5VN+8tNLaltR6QobFb6ONNbhhwkiTPs7CArQ5XvCMASMzhkBfj+iVCR4QSvLqjFEfBbIVXUueKAVfswZAVVtQTTGBG5uswjRuYmQsqL+cMw9GdyU/45J4UZNmirkeEHTaqpasdpsaZsVFxdX1O2ENh7UQLWCy6dQGY1WBi1XaFlh9ZroFEoML5//goQjxgGtBiIDq/UqF4QKU9YoGI2x1xz3jrv9xM3Ogaq4evECH2vu9o5Dl5iiILVm21zQbq8JyRC8kEuSWLQ2eV6FDAG1tiBZYKqxmb069xLO5nGm0gNJBEkq0/EiC2jgDBQoc9pANMBcsa9MWK00KcWS2pdrROQ1XDIgJHu2KWa6PnlHmEZSiFRaE8KEH3qkrjBas2pbdtPIoTvSbFZISnz1+98T390Sx4AxNW3b8vLlJ7RNi3MTb9++5dAdef3ma968u+Hm7o7BOZQx/O7zz3n24hOunj7jZ3/2lyhbMUafaXil2F5eExL0k8OlQAC2FxtCzBULezcRU6KqW6IAUkJ4KeInnzMNrKEbsgGulcGIYArw0AV4BISQQHTWHFhRNG3NtlJoUfjJcXtzg94fUcZgqya/1pjSp6FCtMXWliiyaBIGl3s2+BiIkwPJzJnSud+D1lmg2K7XxBDwpRJjipEEi6HQc4rr2b406zZk3ntKKLJ4KCeH59773jea3+Shno9ve825gfq2cPCHDO1szM5f921OaUrunhE+B+CPnctDJuJhUacPnf/5ucyG+hwAzJqIc5C0lIMur5vf75xDa01VVUtmjIjgnMM5x6rdMu/38+dqXdhJ75fjG5P3mbnA1GNg4LuGOP5JRIrf/zMij33EY4j1R33O8r97H3Kia8+elocnVBaacBKUPXzPvQ9Kj/2xBM0ytX6e1hgjSM5FF6Up+15mHmKhwgGldfasQsRUFbpt8as1x37HOIysfIU1ivVmS3WX6/j3fY+1HX6aMLrFKE0yFokJ6rzxGVsxocltb05FqBYvLoIbHELCp1DAjBTRIaRUaNSzpltaK4wpxj+WMtFDIKRs/47HHFses16MGGEcBFyDOjb4WNEEaNY1SifaNqIrQWlB9ICthZUIOXU0UZmsRSAILhoEi7VbvO+zsCz1JEn5vCqhbsBYg4hlnBT9AF2f8MGidY02LYMXepf7XHhAY1C6Qpsan3IZ7EBhZuR0TyWWdCxF8U7Pkf7ZPJ43dlKpwcCSmofkqn25/kFJ81IKibEY07M5Vu6DnB09p8h6nM/9K4Qs8ESrEjrIm0hIkeB8Di+onAqpSKQQCDEwBs/YdYzdkXVtEeC426H6Hh0SVVvTtivaNjfxGoaB27s7Dt2Rbujw3iFAbS1JhKnr6HY7jGiGZzuUrRliQlU12laoGEhJ0Cnh57LjSsocy983LQqP8ti8jguLIpJBOSkRJJcsV1K0AWpm8DLLVer4ZeWA1thyEWNMubeIjyhtMrgwtoC1uTy2whpDXVd4nxtBuWLoJYZlncfiwSM5DCdKzkoyl7DDUlXzLKj0kC6P8b7xl3y/FnBQDNO8Lz3miT8EB99G83/TeMgCPHQmP8QIn4/zMsIPj/ldxjk4+CYmYX5Ma33vMx/+e36sxwSR50BhHo8xKOeM4fz3OZA4P/9Tf48zFvrsmOfH+iZA9n3HH0Wa4x9yBO/vIch7TW9gMd7nSLGtm7wplB85E1We02IaKXKglFXgPvcIyCzDfOOzgVIIKp6VLSV3QmubmhROApUYAimSexXE0t0rFoBBZipWz54z3cJw8Nx1A3UULuuKy8snaGN4/eYd/f7I57/+Lc+e/5ztpoYIkgQRjbEVtmqw9YooAzFW2SuVElJJGSDc3HVFLJYNmTY5DmgqTVVN6JDQNYVOzXF9rRPGJqpGEVJk9EU4OMLdXf53GKCuwBpoVgbxLaTr3FTJKGLShBTxBLRx6Mqj64QojyiHShMkRYye5NcQPIFLvNd8/fU+V1F0R4bpK7TpefoysNpEtteW6F8wjsLf/uqGbkwME1w9+wW2uSDJhtvDwNtdz7436Mpw0W5A1wQMEb1Iv1KhsZd5JBngqUghr+cYNCzWfHnv7DkxR6/eB53nb12Q7mkzOeU6PNxYE6RQQEck4XO8vxhLijEJzuUYvPfURrNdr7l994bDbsc//PKXpOBRRBhHtFLcvPmapnOsInz67CUXlxfU6w1v373lzZvX/Mdf/UfGaaJqap6/fM4/e/KUn3z2GUpphn7kP/7dr/jii9/z797eoIyFquFnf/YXXD9/zt2rL0laI1W9fL/jvi/ZIUJlhIhm6I8oa7B1nYGe1iizzsxcjOi6GNwYy/VX6KrCKMnhOx8hBCYXmCIIARadzHxD8r2NMeJ9WEpExwjKB8QHEkJb1XibCClhbKmy6COj9/iQ8nujx4+uGPCEN9kbNMbQtu1iEGaPcfYyZ6N7Hl56bO86Ny7nBkzUXKX1P8/xj6UN+DZQcx6+eBgKP2cBZqHkXBRtGIb7fSDOjndupLXWpftndsrObcP8+vnezp1Bl06VpW7B+X07f9/D8Y+lq/gjAQjv++HfFCv70GPfZVTWLgv/XAwyU3ecI9GUPTNRZYuf4z/norHylyLHRbMoSoghhxBOMaP7itNEWgqDxFiq7cXIOAylJn5BlekEBuZNSzSQNJJUTuPabLF+wMSJ3t3ix0Q1KIyu2KwvOOw6vE8cdwfWzRErK/ApF6tJOWxiTG5tG6LGa13ipkLOMsjeVAhCCOCDB0mIyyChSuSiNUbQVgBdPJkixJSEMYa6VsSkqBtLCIbKKqYJ+iEtDE1MgopbbPMEpQKiEkm70gWT7OEajbLZTYwJXADvInfvJiSCSYE4emKo8MMdKQVS8kz+iK5GNi6BCSgi+y7RdfD21pFUjTItVXuNsmsOQ+LQB45DQMwKXTeYugGtF114KiLUJMWLT5nqlwgqzhH1+b6nZc6c2/H3ZnKac7xPLNX5T3nJqVFYIsfxU8qsRREWpjMwSSmWNE/rKLn88px+mDn3wDQ6AomRxO3bt/SHPZrEarPmcrOmNjr3tBgnjLKst2u2F1es1mvGydOPI8dxoGpb6tWKp0+f8OTZU66urmjqmuA8buiZjkfGw4E6gqoaaltTpYiNWVciSmG1ImlNAHw4ZoGhVlhjczzfpdyuWiliiAv1TszAWqtSujZkxiGQ0yRDLOHBmDtD5rVNLsYlZCbo7K5EcuMmYk5/Tb6k8aaUQbZSoPXJeVAVMSaMiSin8SEyyoQPuTGRjzlkOPpAtJllMFqjKJkls9IpZt4hzUYj5n0gxJiraOl8M+eQhCxGL4sgM7GUmItIzXveD2UTzh9/6BX/2PH9jpHu7cHfdcwGfr1eZx1JVeWMmDnEk+6HiR+GDeafczbhofE+b1r1ECDMr/elwdd5eGKuvJjX5+NsxUOW5B/juv+RAITv/mV/zEUREWxVvXexZ4o/nd3I/EvekFURT82b/b1jplzlLXK/wlgom9Q8qYwqceIzeiml0rBJJWKJr47DdP/4sIQzkEyvnw4ARmnshcXGEZscd69vmKKj6mG9rti0LW2zpz8O7PcHunaPlQatQDBIzAVhjNXYykA0xKl0FVQKwUIiA56YxZJuCoui3FZ56xmnDBaszaBCiOQ9O29e1mSvTJsKrVco3fD02uC80PdZ6zBNgb5zGLlgZZ/i3YiPEzEdcoOrlEhagVHoShFiBix9yCzE568mNBO1PiB+IHrL8Q6M1lTWMMWOqnGMXlAhoVPi7hDZ7eDNjWe13bJuLrHtU6JU3O16dn3gMATayxbbrDBNA9oQJIOfYp+LQ18AZZLMHMTceRA5Acnlpqa0UMDzQ/fGHGV4ZLpnXUsil3FMhQ6fN6Zs7xdQkApICCWxVsp7keXEUwy5nGUIjF1HdBN+HLh7+xo3DNRW8+zqkp988im3t2857EbSNFG1Ky62T7i8eoqtLYfuwLEfOQ4D7XbLqm35xc9/xsX1FavNGr/bM/UTx7tbht0OdzhQi0Erw1opGhJVjPgEGmiMRllLUMJ+vydXo4TWGpTRIDGzBlozekcK5XoGT3SOulkhohhj1idAXpezPzIXxtKiMKWEcq75kEMSy73NVylnEqV5PRaAELOGRes57KCK9ijfGm083gcgolwihRw2SSEwTQPEKs+Rqs59JgrQyA2xYnY8wqxXOhmbXDdbI5rcOE1mMeL9eVI2qXxBzx/jx4GFb9Iy/FOMbzqPh0LJzWZD0zQ0bZubuE0Td3d3i2c/j/NQwDlbc27AH7I350b9sRTQ+ffzx04dKt8HBw/1DvPfj4Uqfsj4owEIf5CREsMwvPfwfJnvxb7SadOevZPTYdLS2TGdTYRzpGd09spnFfPSXEpOVNdMN8VwohHnbnU5Pjmr2NXCIpxy2XMVOa+EyVboyytaq9HHt7jhwJvbAymu2a4brjZXNHpE/IHQj+zcWyrrUMpiVE3wHaQJpSPZ6RKUqTBG0HaFUpEUPXV9idYKH26Z3Mjo+pxypgQfLD5ZApZcMtczTg6lNEoZ+tHT9579YUCkQ8RizBaRCklNzmCoK7RqgRbEo21CRQWqybUgGoOqJKevVRNa9VSSaDaOlOCTTzakUIFr+er3juMu4H1gs225vrqkXV9T1YHLJw4fDozuwK9+e8fhaFlffMrm6adcPXnJ0VUcB8fnX98RVE21veTpp59hmzVS1yQDAV+i4CexGCnlzIGUEF1AQhJ0UiidOEvcftwrmx9YaAKWbo6n150KI53HLWWmxAVikJyyGALJeVIpppXneq6mmKv6Fa87RobuSPKeq82K8ZjYH/as6xrT1Pz0k5e0TcWqrvn879+xu7vler3ianvFxcUzqtWWSOTr21ve7vbcHXuevXjK5uqSJ8+fYeqKpIQ3X3/N3es3/PZX/8Bwt6Mhcd3UPL2+4s//8i+QpiXFSD+N7He3/ObXv8q1B2JgL566bbi4uODJ82c0bUMtgp8cLnRYY9DG0NaGaAxB1wzDlFOGnS9rKhtUVK7GmMVhPrNnokolyYDEh/VWZxB3zuHMT2VwH8aE0jlVVhWaWWtFI4Zoco8S5y1TXeG8wzvP/jZ7rdM0cTgcllCDMQZdComllKiqavE6x3G8Z0RmOvw89PC+2v1+LPzePvZgHv4YB+yfCih8k+DyMQ2EUlksSl2jYkSVdtPznvwYCDpnAh4+d85EP+yi+JhBf1hOemYQYsjreGaWgXu1Jh4e7/x7/tDxRwEQRO7Z3/LYt4cVvu/FmQ36vRADD4DB6cXv/X7OLACLKOqchpo9w7kj40OFK+QY5kwdLvt6oZQFtdD79wphlIskEhdDkPsACE4JyWbBomlWhOCYhj3jFKi1x6iKxgjrOhACxGnCxR6lPJiSBpkcSxV5yZXrlAata0RCodIrUtI4rxknoR/z56PAecEHRYgKRIMkQnB54SAlayAyDDM577HWolTCKFMugMEaS0Tjk0MVgZ82NgsTTSIkzeQVMqmsJremaCGEZl0RfY0farR1iIlUK0W7sWwuWzYbwdhAkgOj0+yPcOyFwRmummt0fYmqtuy6iV3vOI6OarOmbtc0mw26anBIyXOPxFLK+N7cncNKM5NAKYhUGjMt83ZxTdOJJkjpfrTtDKyeJtz7m15KoNTJCKSQWYEYzmnOUAiOXFRIin4hhyki0XlS8Fil8JIBRltVNJXl+uISIRDcxHjsmPqezWpFU9fU7QrRhhgc3TgyOI+PYJuGerXCrloy6+857Hfsbm/ZvXtH9JFaabZVxUXbcrndcBwd/XjksNtxezzy1c07phBwJDqTaFcrVAi0dYWOkfVmkx3pEHIKIoIJkaI4wIVI8rnd+MzELdU0yzqdu4NKSviYGQr1qJ0r4GBZj6dblMiZSYKUMEjWMqi5JLCSkvqb17TRCq8Ug7WnPaFQz7OBedhrZo6NnxuM85+HIdnZIRGZ5+i3G+9zQ/sho/tYiOEPP+4bx+/KcJxT/M45xOWKob4AhPP3wyn2/22e+mMg5DGb8lgr7HPQUhLV7gkjH7u+5+/5seOPAiD8kPGoUf8O7zGcGe05bnh2s6IvlbzSaXM16rTYtGSP3pQFOItX8sIvr1OKFHId+8c8xdkbOBer5Mci3p1UwA+VskWJcJqEShFSoosBaw3Gbrl4+SnDXcO7vuNwcEz7kZfXVzR6xfp6w35/pO9Huv0uv99WxDARoyOlCfAgYG1FXUNVbdF4Yhg4HjX9kHjzznHsPMcuVyFcbRKrCw+6QtcaYxtEBRKOkBQp5bisKAhxZBoj3kWQO0QMWkbqekNVtWw3a1xS9MOepmmycLNuSHhCEHZdlylb8dhKWK1WbDaaymokWLxLTMPEfrijD4HrT15wfbnmyZMNRgvTNPCb3/6ON28OvHk74ORntFdPuHr5Z2hbcZgMv/7ya47DRJ8Um80l1y9esrrekkQzDY5YOjVGKal5CxUtkDS5NKBCYm7SpdIcBz6NLFQjo7zzafwADDz4Nb8glkI8isXjOd+YQql+6MeJMDmCc0SXqwqi5tBRpsEpIEFCOP3E/PPyxTMu12uuN2vevvmaLz7/LTdvXuOmkZdXV6zXG1aX1zgUx8lxu+8YS5XCq2fPuHz2BLm4IO7v8Ps9X/3+97x59SWvX33B88trnmyv+MnTp2yvrqBuuPnd53z96hX/7u/+jruu46bv2V5fYpuGmzhSNzXd5SXheODpk6f87L/4L4gxMcjIqt0gorjdH0khg6PWWBDFlGEmiKGS/FjQiRAFFRU+Brzz+ENPo4Va3ze2lP4aShS5sJNBqZyCprQuPSE8MZIrT04xM0hnRtpqydqJcje9D5BY9oBZkDgMwwIEmqZZ0uLmfUQpdW//OE9Dn0VvSqkCvjPI8CVL7DEjeA4uPuSF/6ceP+RzPuRAftP38d4zTRNv3rzJrFFVLQzw/P66rpdrOusSgFPV0TPQ9pDFO2dwrLX31qZIaeh1xgDc1y8IxugC9tWS+vjwe8zv/8cAB/BHAxDm9KUHj34Li/BDAEJVVcvfD+M9WUH+oFoZYLQ5vT6lpXtjKgIXzpiI+XPcNBCLB31/8pyOrVVWVedj51BGVkrnSeBCyWGPoWxCJ+JzFlElEQZyFTdEUa8vUAnc5Q6/vyP0HUM3gTFUVcOqqjFo3HhHTCV9Mk2QHAkHEnNmgqmwVmFtCyFTou9ue3Y7z9ubkb73dH0uv+JT4m4/IFZjasvmskZphbFNzk332WPVWtM0hsoaSCaXKsZCrIFclZAkGG3YXDa5WqTWpbOlwmMIsSVEIYZcBjx6zzQmtIrEOFCa+ZGUol4prp6uMUboxgPdcWToR968nuh7jVYbnr/4U2x7DWbNfhjphj133YhP0G4vqTdrTNvgk8/pgOJLQpzK7ElhEfKNKfMgRVTU5VyycPDevTuPXcKjoGDWNLzPbGWgKLB4HCnlOPS8GfmY+yj44iGFYkiEUjSoyBfm40lKrJoGSZGxH4jOUxtLW+UOj7c377h5+5bbt+9orGVdVaybhrZZUbcbxjDhooCxKAIm5pS9EGJOaby94/j2De/eveV42GNEeHJxyZ+8/ISL588xtuL4+9/z9vPP+frVl3S3t9jK8vPPPuHZJ5+wutiirrfs93u++vIVr3/7O45v3vFXP/sFVVVRI5jJZyDaDayqmqpdk7QmIQwh4gtDEEZHEkXUAhG0Mnl+JfAp4qPiPANfVEltTnFh71IqmoYo+aesZWY6PwZIQognkbLSqoQbi2pdZ3A7G6NpmhajP1PV50zAHHaoqiob/ZIX/9CQPeY4fcgTnV//XYHBY8b3MQfo+44fC0TOz+kxFmTZb7WmrutTRgIs3VDP9QKz4a6qqlRXzQJurfVSg2C+Zwsbcbb3z5/jS8bcDBTqul7uhXNuuXf53GOus8EJOJzPg3mcg5Lv2834sfFHAhDeH98GBH5IDOYcIMxe+yIcKezuuTHXKi/q+UbEklcefTilIBUG4PzGAYzDAe+mE61oDMZUy2QzxlAZuyD9HHfKGgNXNnQ1jjjxJJ9yi13minMsVGcEhlT+1or1+gKrNOlw5DA6huPA0E2oKrG1LW1VUxvLfneLL5XzSHOIwYPkGgfWWKrKYs2KkAZiHLm5OfLmbc/dbmQYE8MIYnIe/XY/YCpD1VSsLtqS8hMZpxEfRpAck61rjVYNWjVsti8QKoLTjEMGEiBoo9leb+ewPtFFQlKEZIlpRUoVITR47xmHETmMpDTRDzuqClatRrSmbg2XT1eMQ+Cw3/HVVzuOh5HdO49WNZVtefHZn6KaKw7Hjl3X8eZmx7536Lri+uKSer3GtDVT8tmIyFw0u5TVhTJ3MljIjr1Cp/wqVeoWkM5CEQ89OGZs8CDynU5z/F4UY94AKceU0+YogA85xdZNGdh570s4K4d6FHIKdwCKRNu2aBK7N28gZIDQVBVGab5684abN2+4e/uOi82aVduwaVes2hVVu6Y7eHwSxFRolRA0IYHznuFw4O7mhps3b7i9uWE8HqmM5tn1FT/57FPaZ8+Yup6bv/8H3v7uc958/RVj33G1esaf/+ynfPqzn3H57CnP/+JP+Ydf/YrbV6/43e8+R4mi/6/+t5jNlrZuUcnlomPHgUY3XLWbJZRXuUDvPYNz9IMnCEST60FopYmSS037WJoxnQO2VMIOKoMEIqiQqyImyCWtRTBaZ2CfEsTSxN2fC9CKtoi0gIX1erWkL4/jiPeerusWViGldG+/UEpl5X0Ii5ELRVQ370EPU/Fmx+cxyv3bwgjnj7039x4Y5R87vt8x5rn74XDC+XHnx+YqlPO1XHRhcM9gzyCrrmuMtazadgFm1trsvDnH8Xhkmqbl2s97/TkQmc9PKUVd1/f+nlmCmam2JjNT53qIOdxwDmLOgdD/X2gQ/lAjxshut3v0ubky4sMGGCklbm5u8M7jpolh6BmHkf1+zziOdMcj4zgyTRPjOJ7CErmo4HKsOa3GGMO63eQWsU3LarXCWktVVWy3Fzx58hRdUGpd14SYN65xyhN4dBm1+uJ5BBGo66XkbBTQdcvl9XPqCJOpmd69IU6J492BzXpFXRmuthtccLjomDz4UNr4RhCrsXVNVTcYuyZ6cO6I8wYfLNY2JHGI8dg6Sw52+4DoEZRw+eQCYw11s8bHRJwm+t5xPDpev/Yo5TG6AzZUNqHVinP3WZRCVxbnfC4+E0CoMHbDqlmjpEbTEH3MLabdjhg71qvXVPVEu5pA7kAmbvZvuHnb8/VXR25fBwg1z6//gsuLl1xefMq+ekrnEl/dHLk7TvQe1ldPqdctqyfX6LYmSCKknP4XmTUDQkrnNN9c1jjlMINQshly6++YlgbeHxzfutRnNMKDjbCghFjS2cIwZoBQNqAQAsScDpe0yayGcNZWPFG0e0iCVdtyuWkZjkduj0f+9j/8Ejf0ROd4dnXN9fUVzz95gVSX+CSgDXW74rOf/JS7wy274y2/++IVWhKbWuGOB/xhz+XFBXa94Ymtef6LX9B89hlyc8P+yy/5//zb/4lucmys5Z/9y/8dV59+wid//VcYLaVMdy7hfVFZPrm8pLIVLy8uqG2DSnD75i2HQ8fvPn+FrRua9YYnz59TrVbY9RajsmBw9CM+BPo0IlWFqizJWmbQF1MizFqNolKQUmjJ+YhWiskFtFGl3G+m85sms2UpxVOhKxIpSamOGYlKICoICqUNVbPKEamUMCpXzNNK46ZpYQUEwTsPCYLz2fBYTdKRymRj5c8aHMWYa17EGAnR42Mi6fjo1PvHMu7/FOOHpDlut1vW6/USGlJVVfqPRG7evqXve/q+p6oqqqri+vqaqmmwq9UC4iUlVAnlzFUOZybIFT2DSM6UmCvwQgaY6/V6MeyzvZjrJXjnqaqaqqruidgfplU+FCn+2PFHBxC+7Yv/mBBDSmm5gef03Uw3zTHBmVXIIYTIzc1NXrTjxDAMjGMGCNM0LQDBObegyRgjlRW0OnmA80ZitOHYdtR1Lk+7Wq0yTVrXTJMDTrFLY0zO+5cSU9S6lJaVRYsgShB7us0xBpQobJWr21XOc9jtSW7EjRO+rjBGUVcWHUF8JKRcs6CURSCq0kFS5/4JiM7xWlXl76UVJkzYMNI0EWOzING5wDA6Qsgb47wQRUpdBCSHGyT3nMjf12B1WBr96ULHT97hfb7+2XxplFSIWqGlRbPJPZ+UJ+mKQIeIx+gepY6I7kl4+r5jmAYmPyFSYeyKi+1LNquXNNVTvupDKSOcwwqqqlmtt1SrJlfNK1X3FtufAsiJTp5DC2cztPxk45Lzy87pgzmscD/N8dvGWUSAR0HC2RyPIRCDXwptxVAEikVEu2x2IqVhkuQwRAxM04gh4qzm9s0bjrsd3fFIbTQXF5dsLy9Zby+oV2uirvHlWojWrDZbPIEgnr5PSPJLtUARobIWq7KnZFSu4THc3dLd3NDt9yStsU3Di2fPuHj6lM12C6FQsG6iVopn109oVJ6baXIcu5Fuf+Tm5o7jsefm6zeINpiqxjvPenvB5UuDbhts3WCVJ6REmkLO8vCKpHK77hjS0mgp10Kcqfl8vVVKRKVKCFAR9El8bK0lzW2xH3qxeWWSklrKKc8hITjtD5DrtAgnUWK5qYTCAtV1ndMsC4MAoAtAyMyDEChCxpj3saVPFO+Dgm8SHX5TOOHhnPvPecznbYyhbppSarxkm5T1MtuCc2FiVdfYEmaYuxpH7zNIkLJHmlygyxfmYTbe2lp0YYCcc5lZKNktkPvznGsUQoy5PbsxGYCUkNK5s/qPEc55OP7oAMJ3HT9U2BJjLEV76iWlyBiDmyamMQtYjscjr7/6muPxSNd1vHnzJiN6H+4JhGaBy/kNnBf76ByksHRhPK+GZrUprEFD27YLg5D1CYrtdkvTtrx48YLNdsvm4oJ2tcpxSGuWuNcwjSQB3dSLBziNAykkaqW5uLimalbow5F+f8d+/zVaQQoN2+sVIVm6EZKMjOJIUSFJk7wuGoQ6l5hF4YNwcfGUqtZomwhxJIQBMQMxDRz6rxmd53CMTC4QY8r1621NXXvadkUMA20z4TyEAF3XMY0RrRIpaQTDet3igufd69cYbVHKUpstgiFRMQ6aMShwBkm5nLJSLZqB0Q05Oi8DykJInpvdLTEpLi9rXlz9lLZ6yU8/+S8Zj4ZuL/zd53/DzXDEp8DF1QXPnj7j8tk1yipcoa1DClR1g8TA4AdyPwM1TyoomQ2kuDT9yZX+M6UsMVfO+0810swspBzL9D6HGLz3OQQWlnZGBeicwgsigkpwPByY+o6vv3yFSpFXAv/wy18ydgd+9ukn/OSzP+Ff/PVfYbcrlLVQ1ShW2NSQ+gOiNVeXz1hfbXgenpHSiJLIysC7V19w+9WXvL27Ixw63t7c8eLymojw67/5G+5u71A+okxu1vXi+TOaywskhCWFdPrqa56Yiv/jf/OvSD7gponf//a3/P3f/QP//t/9L8RA1uBUDVOIjC7w9JPc7+Ff/G/+K5599hlPLq7AVlTe0Yc7pphwU+7rEMlZD6rSaKPOvLVzkJCv27kYTSlwtSvGunSSlFxm+8RGLncK5hizxOXY57RxXdcLFT2zP8MwLBqF1Wp1TzC3GJxCe89s5nl83H7Phnt/7ONDIkVlLbZtidOU14D3S6jWWLuEcuYfW8BE6DoOhwPDMND3PcYYmqbh4vqaum0xVUWcJqrDIYcMUsoplIAZx3yflIKmWVpQVnIqdT47lcrarEmLETtNSyjkQ8WYHstg+b7jDwoQzqmQ7zWkdDtjXkKnMO0cm81/56p8LK8EOduoC+ZnXs8PC1QmEbzdousK1TQ4AecD4+6OaeiZho7b11/THfbcffl7+q5j7HukO6C9w0+uGOIEPjdZ8aMrQheFNpaYYAoBIyNCaWccE8nn+CZAMpZkK6RpSGOd404iVLaiblYYcUTX8Mr1rNZr1pstV9dPqOuaqsnivU3dsGlb+hg5jgPJZ3rLhJRFWLahTxOjTvirp6SqRmtDFyZ6H+j2uePjXPnNVgCeaC22MqSqolOKV12fDb81hGYLYgk4RFcYW6O0JSVLHTq0TCTvGfcjQ1WzfnKFrRWrZOgPEW8tdZ2K8tsQ1BVJNXjZIKpBVMWkL4gp0LgDKuQ2zioERBwiHaSA0IHpyT0jNKhAIvcSmJJmHFbE4RmJC4I8RTUW29bABaO0/GZ3Q3/0HA+O29TT20jTtOjtCrVZQV2RVFa+pwTOCalPgMKyyrKNyKL0y5USNaKFJCZff8npglEg5BA0QebXnoxzlFNznoI1ln9JkWnoznQsFqOylzGPWNIZ5yyYXHBrIHiH98VLjhGrNBqwErESc6HoOFcIjLz+8ktu373jy99/nrNvUsoNuZ6+5MnP/5zq+XO6eoMWiySNBIVJAZN6xAIoOh2ZKo1TDcHUIIm9RPr0kqlpaOwKd3PH/h9+z++7xOGLW94Nit5ZhljRVFvU6hK5egqbLaGyJbyTmFzCoFBieXf7mtubG/7Nv/237A57wkbTbjbUTc2zq2tqZajRHN/u0P0t09//kt3dW+LrV8Snl4SmYrVuGPuOfd9TyzqDc5dIYghJ0XuHJ+Ikoq1FGU1tDDoJOkIdwURoomBiwIYjGAVakVaZdcMIYjIDqFNCx5T7OoSS3eL9qV5FKgWcKp1rjluNrXKGRSKCSjgnSx0HkZhLeS8wNOUOslZTK4tVzVJfZcyro4RAyIYpne+1ZU6WirFz5c+5E6gUjY3MOi3meX+2hZNZF3dv131Y8fBxu5BmIHj20nv7v5x9XnlcKQ1JGMesb1JyKlfsvVv0XPPHhujZl2JIRuVGWNZabNNgqop2s0ZbDUSsrbCVRVIg+EjXdRyPxwWoKaUyAAuBumm4fvYsg4y2RXY7knPgHHIWihClSobQksuYW4jXNSK5YZMYBRr8NDIMR47dnskNkBLW5gwYKSXStRa0mZnKx5opfrcGi39wBuGHUB95cjwmRDx5OvPfCzrM2cenCXRSepXSqiy5zjNKTAjBrklVgzQtbuxwk+P23R1Tt2fqD+zffEV/2LF/8wVT3+GHAQkTKnikTA5RiuQ80QXCcQBtEKXB1kVw5KjliJFpuSbRR4Iv1QCrKgME3+J1BQij8zSrNdvtJZWOhKni7u4dTbOiXa8JbmK9zmVtt9sLmnZF07bU3vO6HxgnjxvHLFgTRTAaFyJRB+LFFVLnYkTH27eMxz16P1BpWNUaoy1WK5QUQ0tF1JGBxLHvc/jAaGK1htQQQ4dWFUY3aKVIUVP7dd58vGfsRqbWIbqhqgyWir2ZsFpRVQHRFT7WJH2FlwbUBUq3KN0wqgt0HGmCQ4pCnBBzzwUVQE2ltO0h/6sUSYrHpwPOK8apxYXcP6NqG3RVY6qaEGH0ni9v3nE8dhy7nn0SorVsLlbobYtaNTkmLYLC5FCTyw2rspGuCOebDyUfeW7rq3IRoqQUQYQ4hyLm9AqKh8nc/bdkQQgkSctGnedNZBr6ZZPJ9yin4Z3EVYEgCe8zOAve4fxACD5n2JRqigowIliVsJIwUlofxwghx2C/fPWKL37/KmtbYuTP/vzPWD97ztVPfo7dbOhsm41GFJQX2uRRaUBy7jC9joy1Yqw1vtEEBSF4ktGw2dKsnyCvb/B3gTe7gdu7DvGWKTWMqaYya2guSOsL4mpFMIlJJXxKuBRyGe6gefN2xxdfvOLf/83fYFaWi+dXrD67ZHu55U9efsKTquWpafjbf/0/0b3bMf76V8R3rxm+vqT6y5+jn17RPvsp74aRbtxhG50LlPlEkkBImn7qmSQy2ITVCVtV6KrKAMFBPSWaBNuQ9QWp76CxpErjmzwnowFMLnqmQkLHSOUj2sXcKK33mSXxDiSAFmhzGibWkqzCJ4UXXyquztGtuISpJIEuTpIWsFYRtaEyJw/z3egIPpC8L9UY76fYzY3XVCplfxdwoIoyY57Csvx9AgunHToS8bPae4Yf723r90FDPsf7xkwkY2+ZPcXEyTyksn4kZ6g4l+P0UtrJi+QwMamA+PIZIQSOhwN917FaNVhrc7imshgl1OsWUxlUikvGiKSscer7nq7rGIbhvhB9HKnrmsvtFl3X6KY5ddb0HinpiDNwIeRureWiI0WXlvUiEawmacH7iXHs6fsjzo053KFsqcoqxCSlcuc32Fv5bnb4jzDE8NgXex88pLJJJ5VjwsropWphirmdsg++ZCPkCmWiDDJCch37d3tu376mP+x4/cVvGY97xuMOd9wRpgHX3UEMSPLs727wbiIGv5RTDTEx+cBw7BmnXLHPF0rSh4ihQ8tJEQuKafKEGAkJqrpmtd6w2WwxtkbE0B17vvziFU+fvaRuWoytaFaZQYjOU9UNdbvi6uqK6+srnlw/Q9U1L55cM01r3DjR3d3hx5Gbww6TIiYlLjYbpG2JtUVL5Kjg9vUrJhVBDJvWYm3NalMRk8OHkWHc49zAMA65UlwMNDo3xvEhoMQVXGZI6Jz2lxQpKSYvTFOCzmeDScU4JYYh0PUOlAWlqGwNUhPIiz3GLAK01nBRX5c0zIQPhe5NOcEvpsW3yf6T0hAT4+QRo1lfrKjrFqVzAaZhcvTjyO3tjr50GhyniWlyrJ59imnXbDYbVqsVTdMsaudZr/JNmPdheOnx2ayA+77U+V/ze9+LN8ppc5lTnmKMp5r9RcA0h7zGcWRyE8nopRywmLxXzBk0psrfzyiNTpIBQoz82V/+JS8//Yyf/+LPcpnwlHj69Cmr9ZpqtSKQa1AorVFa0TYtXimCmAKIEqJL4S8PTCEDehI6Clpp2qbh6uVL/uK/fU7Ve/TomL56w1eff8H/63/4H7npDxzeBF795je01xeY7YqBzNTVt5FhGHl37Pjt3/x/efvmaz5dXWLWFU295i9/+guunl3T1pY2KSQKVdPQqwNf/PZz3CtNMAb79ivWn7zgz5uGOkZeVi0XpkWiMPmsVXEkjAZlNZWxoCwKQ3K5fHgofUySKMRYKC2bc11/wU8hC4YVqBRRoqgiWJ+BZhWzeNXEsVgxnwFQJAsSh1yTROrcDc0ozappaOsKq1TOqojkEGZKuJkyLY5SEhCtl3DH2lbYCMMwLPPkodht0WLJzEhQ+gWcWIMi2Sw9J+YupSf94x9SiTCDn4dhlsfWoQgYY7E2h3YvLjanUIJS4LNz5b1bGIJ5D4gx0ve5bfgcCp7HXI/AOZebfBUmY35Ma01V16c0VBH8NDGNI81mw6wza9uWqs5h4hRCbvQ3axnK9zsHAg9LPv+Y8ccDEB5+1+8QVsmTZJ66ZORW1omSOTOhNNkonlxyA9MwMg49u7df0x127G/eMnV7xm5P6PZEP+GHAwRHCp7+sMP7ufBRDidEJCvsx4Gxd4yTZwpx+RpJj0QVSpwxiwCdK5tICYNYWxF8QClPIuEmxzhO7Hd39P0ASrFadUzjiAB101CPQ87CF7DKYFdrpKoy9VxVxLpiihFXYHgqF0SUZE1AXVO1LcpaUsrnPHifRVNmDvOUFD7RIBpRgpZMiSlVvC1JxQAYVLCItgiWFC0xlT4JLqFs9qpjVIRU0K8YVNE4oGokWiIGKMVnlIDSJc0vn02KKXtqM4qGvLnG7GHkCnYabSzWVpii6ZicZ5wmDseO/eHAMIyM05Rz1JWibhps2+Z/bbXE/WA2/nIPjcvMCNx7/uQp3TP0954/AxJnr7s35R8CBTm1m4VTZbfzevGxqLDPC28pW1xNffLylMmpn6JVSa9R985ttd2WrohZGR9JbLfbrI3RGh9zcSsdIzppbMrNs7yCoKTU4SDPnAQSllmESYJGYw1UQKMUtY0YF6i1oY+Rq09e0LmBIJHff/EF9u4GtW4IJn+Dix34rqe/29G9eUfYd6xF01QN682Gq/WabbtC6YTvRm4PPf04MLqRvjviRRGMZZOElWjUMFFLMXH7HoVikzRdSvQkKq2IKEJSRd8QM2cZIbeuyMzGhCtNlMhtzFPKzF2A4GeDkZCocopkYXM0glYlbU0obFPCkbu3Jl/qLmiFaEXpHI5OOU01h4ZSEbsurnJpZb1Ev/K9VzqzR8Zkut3kBlGhTNrZ4J9vu3OdlzkMMWtrzohaYnlv+pHQYNbQnLQDM3t8SuWbbaHICRzM6YLL+S5akQdDBKPVkp0wpyyeUlATodQNmUrsX2udBYhzsaniLDwKqpYaGKcRQsgCbWOyuLwweTk1e6BarRaho9KauYTWvJbnNf/+9/tuAOG7goc/OED4Qcjm7OJ+B1wA3J8kIoKU6nLztNda0WpzQpc+16Pv377h7vaWm5t3vP36C4buwLi7w40dfuhw3Z4wDZlNGDrc0DP2x+UGL1uusnkz8IHdYaLrA5MHrYXVWiMrjVKa43HA+4RzMLd0sBYqm89RSxaJdUOfc9QF3r17wzQ5bm/v2Gy2XF5d87Of/Zz1Zst6s8b1R8bDnumwp1pvWIXAZrNh3a5or65w7YhOEd/3hGlidBMqZu+uWq/QlWacOsb+SNfdcbw7IsmzXuXiSE2jAYtoRd3aUjJaoG9J3iIhMx4iBpUgBoWNG4ITgheC1Lhg6LtEvbGYqiVJA3iUmqjqDVVzyfriGqRmCpaQNDFpqqZGBcc4hNPcEAF9KkKUUsI9SOVCpMQRK4ypCWSP++27W27u7nh3c8tufyCEkLNGmpq6aVg9eYpdbZaqjbPnsIh/BFI6dfKc5/gSIy2e/nm3zsXwy0LQ3jf+H2APzh/Lb1fYyhJ8uFdmd+4DMotfXRGjzQxCtWrz/SqfL9mFAq1JRhG1Ks2mTp+/vrrI/15eLOtXl+yY0TtG7xnGMXtdyaKTJ+suEl5L1lcojZLcBMs4v4T4KhRWNG1doSRw6Ht8SlRaWP/Fn/HsxXP+63XDr3/zG756/RX/z3/9r+nGnsE7Lp5cs25afjoYwrHn+O6Gla2ojGa1Mjxrt/zkJ79gu75AG8uE49Xb1/zub/+e4YvXuLsjx+Meaxqa1vBf/8Vfc/nyE7o+MpEYE3z56hWNrfmrP/tLbpNmnwJOBJ+gd4nJTwQFXoAkTFGhfV7P45SzMpq2wSXwMTF4TxBFUKBiQiuVy4dHISZFTGCUINWcMaHxKAKRKXk8Dj9FkusRpai0wUhmEpq6ymD9ni1UpZE3RXCZ8DHmjAxAVIsWTW1zXQurNc6c8v6XInGl8RdKlqyIGczqMo8yzV3mOlnvNNPmPxwmnLRrMwA/Bw2PCfHOiwWdFzk6F4rPwnAliqapWa1WrFZtWePl8/KCIxRm5XA4LJ9h2xZTV2w2m+VazWyCUmoRjNq6zr0dzhi9aZoQazFVlTUsRW8y9j23t7esNht0VdHUdS4ZbzLb6Ur643zuc2Gm+yGhE2gA3rs232f8kzAI3/eE09n/T//KI3/d/4x5IixlJ0usf/YCjc2b6zRN3B0P+ea8+j27u1vubm4Y97dEN2JiT3BH0rhnOtzgxp7xuMcNI36cqKtsoGIpWBTLojdKUdWGGAJGJWLSNE3N1fUFqNxg1vvINAXAo7M2CGMEa/KCz95xYBq7TLFnHg+dApUWNJHoR+5u3tAfd9y8MVxdXdFfP8FIoJoG9hH89VPk6orNZk1tDNcXF4xGMw4D/e6W4B1hmqiMoKuazfUTTFPhJdDtHW50DLsOa4RmUNRWYY1QVTVq7oboDDEJKFOYGY1OpaOdXxPKRO4nBV3kzW3PJlpWsWLyBp8qUC1JahKWmHQJquY0RsgLrCQaZZ1JLKGF2WHKN7/Qu5nZ0CW0pIzF+cRxOLI7HOiHgTdv39H1A8euz3RtVbO9vKJdtTSrFaqwKQ+pypx6dPKNTnNNlzbesyeRAczJ61cLqJGz585fkzddtWy+8/yWOd327HGldBG63S9wM5/jebnufPwS/1az6DGfT9SKoBRTys2FFDEbmZizLGKpAzIEv7Qb1ykiSjJ7sBwjb+CZdVIE0QUoqJxeKCWNMmYNRYoRI7nEuRaTy0NrYUy5sqFxAw5P3DQ8+fmfsHrxlKs/+ZRhGumHPrd3RvjsmOje3PD1FKhiqWUZ4EJVPFtfZgal7+njSN91dH3H8bgnDgNNVfEnf/ITfvrTP+Xq4iqLHe8OfPnFK3775ZccDgPbzZYLD1xdYrdrFAY9F0FSCg+5sBKCFYUqNSd8yg6JF4VH8AguZTbBhxxe0ClhJNP0BsngTIRJu5zGrBRJzT1LNCkKxFlMGAhTSY0srcVRed3k96mSCk3eK1LIok7vSmXIkAWRcprjswc9G9TzCo7nRXmWOZXSMl9T8exVmYdztYi8Vz9I8ZxboD+y29975Gxen36fQcLp8eLsP2oHzs/XmHMGkFKgraaqa4ytGMd+SVtsN5vsGFiLGkeGYVgyPlYXGXSurq/xha2Y193cTKtdrZA57FDYgb7vc6gyZKZmbuU8juPyM41jFlZam7OCrCVNE/GseNL83eZ1Po/zwn0/BhzAH1OIAfigypXHmYWHAGGmW5XkymaVMYwhELxjf3fHcb9j//oLDrs7jnc3+GkkRY9JHnEdcTzgujumscd3B/wYCC5QtS1aKUKKmb5PMYu8dBaaxOAxEhFtWa1anj97Qu8mRj/RdT0iEyl5ynxBm8w0KMl920OIuGHINfSToJVBkai1oCUhwdPtbulEcM4z9UfCNHCxbqinkbEPmAi1UmyaBmtNZgokF+nZ30Um73KoQjcoa2guLsAouqkn9kemccQNPUYlRqfYtBV1ZbKaV1mUqXK+uBJEDKiEUhFFBgh6anNlxuAZXRbe3e4nknKICjiv8bECFReAEJIgqbRNLp5JjHNaYL7eMbGUmQ5xNqKCaJMr0hmN0hYRhY+JyQ/sDke+fvOWw7Hjzdu3+JCv8Wq7wVQ1q+2W1XrNar3G1zVJm3uoPJb2wDMwOcVnS6ncOHs0j4QSyneRuT7AA4BQJu69MMPy/Nljp/kt9zZByPvuebghnDWbUbNQUs0AJZ9H0jo39irrRFL2bkkgobRNFsVYWIoYI4ZcZyNRmotpvTAPY/BEpfDKYY2gUVQlDqsBiaUleMpNLHW5hklpglalomNkDFPO21/VXKxXXIvwE/lTvHN0xyPD0JMmxyc7x52yuDc30HUQMuDeaMNls+LOj0zBcZwOdMcj/dDTDR3iHJfNik9fvuSf/fVfQ7PCxUS42fP673/Nr375SyKa/vKam80VW1G0dYtWCZ1y1oAqhp9SAdGgEMlNx0LKmSBB5SyVgOApACHmaxxJeJXDCpGTeLXXucukUgltdJk/KretDiBTphxjCBAyoErG5sJHRV8jkMNxKocufIy5pXQMTCEwBpeFlWTF/Rx7nz3v8/bD56GshwwtpViUWhQKJ3LvVLb7fP9Oj2zcHwYH57/PQGD28s8fe7j/n8ISc8ihBETO1tZc2dBaizKGaTfhXE4btW1LVZzJOTtB61K3JQS0rahXLe04IjFXvExQysY3NE0DxpC8J7m8x85VMeMMEJQiKsXQdbm9tHO4acIag21bxOZiXbHvCQ8A/3mI8fx7P3bdPnRdv2n8UQCE7x7FWmZiju1pnR8p6NIahdYWrXJxmsPujsP+wM3NO75+/ZrxuEPvvoLjEd3viW4gesc09vS3Nxxu39If90iKXDQV9aamMobKWlIM9L3QD4lpSmgLygimsqgUqJUQ0LRW0SjoYr7RTdMsldb6vmeaPF0XcdORvhuwNqP6/ugQSWglrDfrnMrYWura0jSGaRpznYbXbzm+e827VyuGuzesL59w9dlfoaeRcNjjuwPtasXF5UX+3KtLUvQcj0fevn1DHz1dP2WAYysuX35Gc3GJG3vu3n7N2B8Zjnvc0aOOnn0XMFpjjWbVPsXaDEC0UVRGY3QWcqrGUg0d43CAOCEkRm+42cG+7xiniojB1i0oyxQNYQiI8oi2uac94GJeiDqBUnnRNlUpRy167jfJ5AM+5poLfhhwLvDu9pau79kfDtzs9oxuIkSo6pZVu+L6+pqmbWi3W7Q2+Ci5qBNhiWeKSC6kk06UZ05jLbnMzJ6J5JzmeZOaf1enzelcy3CPRSB7k+edPh/qD85fp42+txEGd6qSOBfnglw7vlJCaBrEFGMmuWS4puywRUSb9Rtx6Ssi5CJVo5yKuMzdD7XWua+BLgyPCNEHhjSRYmAtiTolTFVRKY1RijoJkUjwjlxAKOJmoFdZVJ2zdw4qpwOirjgejsTR0SqTv7m1XLVrLNDUN3T9DrOtePXlr/Fdx//6z/8Z26qBABI9Y7/j3/z7/4H9bs9xf6DyE5dNw7/8s3/Bi5efgGj8F6+4eXfDf/9v/t8MJJ5vNtjVhqvrJ7z85BmbzZbW1Awx4XyiIzAZwescc5+FlynEJUYfBTzgBLyk3OVz9n6ToFKuujkD4YQikLhlzNkBUdBeo0s4Qet8zRujc4jCRbQPKB+zl0l2IrAmh46qmFMYTN5LlRY0BmMkhzWHXGhpGgeCVwR/Cr1qJWWu2JxSOc8HlU71wOatN8f4iBJLC4pT1Y95aB5ggu8w3jdmstiEkzEU7mt/zkMSp+Nkze2pAVMuj1zlRknA2HXsdndLnYi6bVmt17kwUamDEEJgHAYO+z1NiDTast5saNuWyxcvyilKDtumRNjvmcaR4+GQa7uUOhTVOBK6bjHyh8Mhp2WSa8AkoFmtlvMfhoGh7xcG4fy7PgQFP5Y5mMcfFCD80JP+EEPwzVNtjlXlH6PzRmhNNubBh8wY7Hbs7m4Zuw4/jlTRocKI+IHQH/B+wvUdYeqQ6GlMpqy3TUVVWSpjsgfhE1OONCyx8PlHpSygiyHhxpHusMeHExW1gJiySecWCIkYPG7KE2EaItZCTh+PSMrlcQkOgs6CSe+Ik2NKQAi8+/o10xiwqxfUSmFINLUluonKatbbDVo1rDZrkgiH/kjXd0yTwxFzeo+x2HaFsoZ66EmicD6Q3ESMgdHB5DxKPElGbAVV0lQpV5+rJcf4xDSoCmwSUpwyLamzx+SCINpiFNTlsYRGdFXYCUvKZREzSyBCIsfMReusFJfcICnEgA+RbpwYp4luGBknx+Qcu/0xU9P9mIViKExlqduWdr2mbldUdY2o7E2nOJfGPW04SGEzTpO6eOL35+PDsMG8gz7UFCwMw3sMwtnz87vl/ffPr7nHcJTNYvYA541SKYXSCoog0WiNUTmjQSNQdBs5lTXTxUlloZsvnmooIZ58SeYmZmdBwHlzltw1MoREFQJKF0FuaSWtyMK6OT4eU+kySSJpzTA3kfIeJUKjNF4rotZ4ZhV9rkiKUoy14FcGfdHmEEVw7I877M1bqldfsNcjN+Oeu3e3TG4EEk1ds65WrJsGqxW4id3r19y+eUu335HaGr1quXhywfbJBXpVYSuNFeHYHRmD486P+EoTK0W1nQ1JnZs15auYxYtLx0Qhd/NkaR2tCluzBE1TplWSKvdgDqHFuISFhMxYKZVDHFqDSgLeLZ+Tyr6SJJUbpnIqpMx9B3LxsRwqy+caQ2AqLOsCZCUzcogQJTeHU+nEXi1zVvI6WMyU3Hfs1Pz1zp7/LiGGeV7Pcz2vw7OW5Itx/LAm4fw1511ws9gwCw7PvfvZS48hkIIv0gu5lzU0DgMgiKmWvir2rEV3CKEAr1PogPK6XD45MwXGnIrbzczA/Hfwfgktzq2nH/ZcOD/muVjxHwMk/FEwCN9l3NcinNBkjs0krGmw2rCqa47HPUN/5IvPf8tut+P29hZCxERHKwEfRxj39DdfMww9buhRAisrrLcXVEazbuqSp06m9ZPQp3hSDntPjImAwk8DbnQcOzjQc/v2lvrJFWadqx8GpDR5ivgpEX1JT4+U4jb59+1WaLcKg0d8yBPOj4jPE09CQIc8kdzR8cXxt6w2N4ja4I97psMO8Y7hYosQMVpomorrp09p1mumFOi/fEV3zBW/Kmu4NAbbrDCsWAUwTYeYGtf3+GliOBzw04QbB/bjW4y1VLWhqSpWdc2mrbFGU+kKZS2VXiPZ/KLPFmtTN7m4ieQNy4dElGzItK2ZGx85lwv7BGdQRUWcVBZ2+Zg4dhPDOPD67TsOxwO3d3ccjh3OZzpwpviVqWiMYb3Z0q5WrDdb6rbNaJ58rJgCyntEF8peMiV/36MvaZTz9p5S3sBLYbrFmJeS2Pcee88FOwMBZ2DiMQbh9I485tfMnsWpRXgRM5VGMtqYvKHZUg1Ol1QuCij1nqA00QeShAUATC5TohlAJFAql1qJhUafz03nrBZULuIzTB6tHUly+MuUmtR6KcGcmHwihshEIClBVRVvb295e3PD7c07Vm3Lzz79jNoYrLZMY8BPnn4cQRm81QyNxz2x2J8/R/5hw3S342/+/j+wffsFz774Dd3WcFSB/e0NVVOxWbd8dn3FtV3lss7TRDrs+Nv/5X/m7e0dWhJeJ6KFl3/xEzZPronXFcpoTErc/f73vLm74e9ff4FsWvS65bM/+wWrzYb6yZMszgUmKZ0bgyMUEKuiQkqeoyWHWCwBk4oRjREMGKszyxJCfj8sx6lEY7XNQEsrrGTNkxsmUoj4kBDnMoNhVWZ3Ggu1RSpD22YWCavxxuOHsHi3wzAs826pJmsNJuXW1c7lc5gZs3n/TWfg4Fx5cP6avFLK/vwdQwwP6fJTOOEcEJw/fzroORjIj6dTiWrm1MQaVdeMxyN3d3f3PPTgPW4YsdagRGjbdjHSu90OfeyoD90iYl6tVsvnd6VZU9/3y1qsqgprLd775TrXda6PM9dR0FovfRrGYUCXUsxD3y/9fB6Oc93BQ33Cjxl/FAChcAEPHrk/8lzL6W1CmVghq/6ELKTxztGnyGG343A40O0PDMcDU3+EBCFMHPZvOe7vGI47+uMON45ogYv1movthqvNGiWCG3v6oWfsB6ytEDULYRIhAKXhTUqCrUpFQQm5MuPokbKgra1waWKMiVBKDBtdnIxwAtnaQK0TKkVWVYXROVyRS6pKyY0NVBpUdq5pW4Op4PjuNcpP+P6IIjAcL4BIkogLjmv1kgisNms2lxd4Ejd3t7iU2I0TesxeTvQJxFKtLtG6ITqHwjJNI6IHjtMeP3aYXmNVDju0y7nmgiNWFEbnAitashZEa80UyeleKhaxYTaqWSTncn2ImJimXDvCKEvXjYTg6fqOcXQc+46+GxiniWOfQcHkHD5CUmYRVCplMHWFNoamXWHqeonBIwql9RIrj0ozp07OmQgn6t8sIQMohbdKxgScswNzRjjluZMGYX7de6GDhyzBg9ct6yLEXIBm7tp31mb2vIscnDbb6OcMEEXWsGWPPqlIUDnzIFKEnmWDGfyJicjr8XzzWdRilAhvFqllR4/oc/+FcRxzc6qYhTaScqw9iSrtn/PGn4D1xQWqqVHW4J3j86++htGhQuCqXlEpTdOuiFXFZITXOlGbNZebX/AvlSZ8dcPd3/0DMThiinSHI4fkllx0YuLd23eM6Y666nMRpClw8+6WwQdGK6yunrD+k5foZ2u4auH5msPvb+m++j3/8Df/M6/vbvjN26/ZvnzG5tkTzM8+oybSqpxF41JE4Ugh4MZIDIZkTBYFRpM7iKgMlio0OgZ0zCGFZEANgqiEXi5zBmuSIoGAk0AShRGDFoNGo6zO6yZk8B1TyhUzkyK5hGhyWnKMSMrz0hiLqvRpDp0Z1SWdcc67V7m2Q0wRH/WyM4c0cxCl1XXKtfoWA58obbK/uSHZY+MhdZ6JvIcixdPyOk9vnL/TaQ3kSorzOs7gx2adACdh33kfnvmanF+X+bwy25D77Wit2e/3y/PzGjw/h1M1R7+0cp4zRR4eO4TA4XBYdHTDMJy1fz7pQebzPHcORGTpLPkYoPjPWoPwfamP76pAuAdIUyKEmL38bKkzZekmusOR/nBgGnr8OBKmqWycA8f9LcNhz9R3WRjoJ6rKsmpqnlxdcn1xASlye+PpujwxjMmeaYiZUp0BQpLcRshYi6mEKA4ZPdMUlvixNTnLAU6sgVJklbIqqFxBU0Flcgijtln3EA3LNxafd+PGKowGYxOrNqvCp8OeYwoEN1BVGjcN6Mqgq9zsqb28QFcVVdvQbjZMKXJ7POC9o3M+x9JiwiTQymArgxJD0j6DBlWRMNyOe4ZpPCuQIjlmqjJQqLXJmg1jiphLqKuKqtKoKSAqlh915oULCY8LAR98Tg8STV2vc2OsaeTm5pa+77jb7xn6Eed9FkSWTApKUyhtK7TJqUVVSR+yTW49jdLEUh1OF1GiUopp8frve/GZrj81S5np3JjimTBWmBmLe6GGGTg8WAvndO0JT5wLHXnvPXnenNqJnzMHj20MkFkCEkXMlusS5CZYityuU5XK5iewMqlxKflMAUIJls1/Pt/zynpzNb0UI6G0QDcIJucAZAA9p8GJLPoRgKptMW3D5D373Z7X777Edz3JedI2sqlbmk0uxuRI3FaJy7bixZMtn1Ur7E+OfJUUu5t3vHv7mrEbGeKIWpWaHUoxjh24xF0H/e2O482Out0QrcGLodq0XLx4ir5oSZsKvza4YYd/9QVfff4b3uzuuLl9h2k0q3VFRaCSXInSJw8xkMKUQRAeqCFl5k4DRqlcfVkiNpFLLIeUBYhGkIFc42BmnySzPMR8/T257oq3YIvAU2YxYwrklxZBbYykQC5PXsprS1nXWmmUOdHjc5v6mT2a59YMjLUxhJTfH8/CTDlt9byKaFz+TqSlPfmPGecMwn3WYP79/vp4WBtg6WtQDP8cYlgqnKaSkVFqjJzXFHgozszHj4uxfwjqz8fcG2NOk55mm1PW64cAQt/3yzmc64kejjnrBE4Fmh7r0/B9xx8Fg/BDRow5z33VNlijSSEw9B2Hu1t2uzvGoafWkIwmWsvd7Q3H/Q1f/f3fZd2AyiI7sSs2qxUXF5dcXl4ViskRkybG3KTo2E8Mo+ftrePYJYYRtAVTRdYycXFxlWnsrWYYR5S9ZUq5hvdmvaayhqauMKpHYmYRYvmxGqpa+PRlQ201VaVZlfBG7wLWGurKcvH8CVop3FhUsC53kowxsWoMXbfn7e0b7m7e0Gw23NzdcLe/5cnuHbqxbK6vuXz+gmcvnrO5vuTN3R2+73DjBEnlbIQipokxEbyQvJBUS7Va0ayvsZc1UxgYhzEXm+p7un4kjiO7w4hRGiMGq0wBEaXXA/OCmcV0ud+DqQyJhPPT0hFznMZcrS7msALptAFFyB59VdPaqoACi9K5gFOzakuHtVxLfWYTkJxWForCX9lMAxprSaW5yj3mQNtceladGtzkyFKmg+e66O+FEB6yAg8YhPPf5xDD+fjQBjRvenPzHl9afz/cHELIFRCnweXv7gK2TYQqhxyAbDBiykC13BsliubqKh9j7jHiHN65zNLN56ZytcsUEmGa0CK0SiMhQfQMaYC5A6cq1R5N1hQEyUWHQkqEccKHXFV01a5ZN2s+efYCFSGFwJeff8GxH7j76kuGfsApz/gvLUdTY+lRJrC9aPj0//x/Qv+HX3Lzr28xtsL4SAqOy4srfvrzn/Kn1y/Zqor1zvP5f/x7fvPLv2MS8Nawfbph++lTtp89I1027JTj7z7/W+rf/Bbz21e4YceqSvzVzz/h53/9p7z82U/46cunRKM53r3h7d0tu76jGx31quXy6TO0n3J9fTzWWJrgsWJyKm5QqBARHyHARGDoDti6QjcNq4sN2lrQOZMnzGzCDB5KnwfRJl9va/K9iSEXcAOCqFzSPU1ZZaKlFA9rUMrSNjVtU7PdrDML5Tx91+XGXtO0hKiqpkankkVUQIIqoaaQ5kZBmQGNpKIxiQVu/mGaQs3rZG6JvMxRYUnfBJasDYp3X9c1KZ1EydpabF0Tffbyu65bPmOz2WS5iJ4L5D1g6s7qL8x/z2v4nI2Y12nTNMvj8zkfDod774FTOGE+5r2iTtyvGPljdQg/HiA8QD7fNM4v4Pd5ffmg+VEe/c7FO0sp+2yUDV1rjdGGELPgqe96xq4rXQ1DQfmese/oj1llWleWVVWX8ARQGmCECEPZGIfR5X58psIFmFxk9InBweByyfRIVjqHBJGsdFfaUtUtPjgCmaJSSnFxsaU/jBAjfe8oqc7UVS6aRIwIOSyhCy1sTTbc0TnmToFGZSFYUqAlAZHoJ+I0EMaJqq0JbuDNV6+wbYWpLfv9HRiFWbXoUgzo6dOn2H3F2zdvS6pcxBi1iNtDaRAgyi4ermiLEo+2mW3IKYiKqHO/ApIQUsn3SmUexJyq5dycipeYQi6koydFSjkM4tyUmQHvit7AFHHgKUtgrmqWF3a9GCClzVIHQfTsLRSPQWSpdHbeKyFCia0XMZ2cswh5Hp5Nvkx5okpfsYze07JpnLIXFmZBzs6dB1oDcn0D9cgif68oytlZzKKq8/DCcj3ONhCJiRQ9gz8iIRCqGlm1y2fm883AYFbz6BImidHnMAGCLiECpdTCKkjM9zQ6X66vwtYVSnIr45iyIYlKSg2FgI+BkEKuKpci3vlFyGgkn78yuWBYCpFmvUYV1sdqRRRHF3p0CLyeJq5cRR001djhphFfjBdKWG02bK+uuHr6jIvLK9ZY6jjkKqMIo3dgDVdPnrDebqiaikmBcxNv3r5hu7+lHfY432PqiufPn/D8+oLrzYqx29M7x9d3t7x695a77kgQTdU0HA47qqqhrhs+++Sz3P8jZB4+JcGoijh53DAxHHt6P/FOdqw2a7aXl2xNTdVqqLKCJ4rGpQBkz30q99zKXCsjkYNPRbQ676dS1p4PpABJArHSKA3KnvZMa2zuVOiqXEUwlLqKsbQLT7leRmTWA5zCYHOioyjJ/VLOxYjpjBF+T6T4DdUO3xunEAPLOZy0Bg9V/uf0+zxmZiDFmHsjQPHyLSJZn2BL35WpZAWdvzcfq2wOy3m8f+4PNREfMtoP3/tY+uJjRv98TzjfRx6yHfff8+gpvDd+NECY6av55Obx2EX4JmDwTUhn1o0nyJPqfHNeNmtZmM5EMaC2oqmySK6fsqhuv9vR7Xb4acSUzlh+6Nm/e8f+9g3jsaeqatbbC0LxxLz3jC5wHEb2Xc80jry926O0wa4v6G53dC7RO+gmGCZYXQIaBhcYXET7BBKJaOp2S5g6pjDR90cutls+ffkn6JS4azWvX98Qffbiaptj891xRFJiVZeGIUph2oax7+mPPY1ReKNz2ljIhsJIIqVIf7zFjQ585HrzkjEG/v5Xv8xAQuDJJy8YxoHeTVw9f8Hq4pJ/9s//Oa+/fs3u7sDQTbhxyjHOlBCfG7qAodKy1CIYfMTHnINtaoOxK+o2ZI9yjPgp4KZAGB2xdBaMPpS2prYs7yyIS26Cfqbelq0ue+VKY2x7Qs1aLZSaMrNBtMXgSy7SI4qkTI6tp0x7C4JVJQffmMw0aIUv4ajcd716Lx1x3oxCCLnuQakpkHP5DdrYU0fFMwBwLk6cafUl1KBP7XlFBKv0e5vBLBKc2QElQlPV9zZBP1dpKxtFXWegpJVaqi3aJEzjyG6/py+iKf3iRS4I0zTYkgdvtSHGyOSmUpgn4PqhhA8SEiIaqIoKexrLBhojoR9nvS4XdYvWJhdZAqIkpLFEEfbHA758n4vtdumtkYGBLMp3UmYFY0xcPnu2ULMxRfo48uvu33DcdxzeDTxtP6GOFd0vf8/Nl1/RjSODdwSjePn/4+6/mmRLsixN7FN2mDFnlwRPXlVdVV3djR7MyGBARvAIGcEbfgwE+FEQGcErZASQaTxMk+osljx4XOLM2GHK8KB6zM39+o2IjCTViZN5w92PsWNmqrq3rr32Wu+9x7sffMC7H35I6SViDATj6EVkawdu25am0PzlD3+IfnKKrErGEOnbPZ/+5jc8u7rhtN/QDWvOFhf82Y8/4vz5BfWi4p9+83Ne3Vzzq88/57NXL1l3LfPTM0TmscybOavlCc/+u/89sp6ji4phl/gP8/mKbtexuVnz1RdfcLvf8Wm/4fzZU55/8D7P6gUNmhgFsUhchm3sk+hRcLRj8lFYNrPEJ3EhSTmGiJT6kCSmsQfOJV6B857oAO0gRHQ2CDJaY7RGIw8Q+pR42m5ISV0ImXyb5iDZ1EkJhYjxQFqcELhJ2v3QpPgAUk/xITwSGO/Hg6mcd/9x9x/zkKh3T2lU3CXk1lrUICl6jQqTiF7Sg1gsFqisVLjb7ui69h5hOCUMCcGJ8e1JwrFWwVQGOJ7bx+WPh+TCibNwzId4+BoxxgOPQcokGT3xI/6LKjG80YrCm4H/sazo4WPffL6jMmfaiJJ/5TiDOwy8/KUplaBrO4QkhLTbJb6BtxBSj3i32bC5vmJ9c8l+fUsYAutNR+SKvhsyPyBkops5DIzd4EhiKJLbXU8/WKSR1HMwNRR17qsdLf0YEL1DmQnlEKmndWgTSU9At1hgtGa5WFCXFcSU5BRGogR46/BuxI09XSZVjq2n6xzd3mNkS9MY5rOGqUluv9+jVUAjmdUlAcGiLtDW0pSa9fUretsRjeT5Bx/wL59c0G429P3As/cKysLwzvPneOvYjBbrXBIB8vEgrWqnro1IEieSiY+RVob0LQWR1CAlHiU8EQU+EJ1HqnAQDBG5UKCiTjAfyco2RpcWHJI8bGJaFYcAKzNzXmSugZAym9HIvNPMgTgLnCBEUpvLi1rMC+ekQDdJIx+XBB6WAdJtd7vyY9ni43MiD+B79/sO8N9j8yZyR3B6SKJ6204jhoB0nhKJamaHxWl3c4uUqdNhNptRlgXBFJlt3aGUBgFuGNNOS8q77gfrCOOI6/uUXEjF2XKJyEUK6xzWOaKEUUTG6Am7LcpoRGGodJW0SSL5uyZbFYMK0xwHP7HWZdpFeyWzcLrho/pdTDMwL3qWnSGuBz7+1W9o11vabqBsFtTLhne//0MWF6f4sqLtLCoGlHf0ApwxBK2xMbK+uUWJgBh71tKz2W8QVztsu6cPPT/88x9wcXHB02dntN2Oq+tX/Ozv/45127IbOk7mNaenC5rTU8qyZjab0272BOv4+b//93z07vu88+d/ySdffMluveUajR0tfd+zvr3Fec+7yxUX1ZJ3qiXzaDBjpLMdo4wMCsZCIYxGVQqlBBjFJvuypFKeSoRgpdNYPULcCpm9OArYx8joHV13Zx2evkd5eA6jq4MNdIghtxB308hKxMRAXpxTwBYxNSxrKQhCoiIId7dW39vnHcWMByP/UHo8OvPWeXFvrMf4xvPeJfh3dX5rUyuiMqnUGr1Nrb+528D1Pfv97tACeezHkp4nx6j49us63tEfn3vseKy0OD3n2+Lp2+Lq73r8wTkIjyUNX5dIPPYBHsNHTI+ZPoDDr+IoYcg1YyGwLslTtvuWoevwzuaygsf2PX27Z7dZ0242tLs9ykHXj0R2tPs+Ez5ILndljVYa5x3dwY0u0FuP9QFlNKWOqXXJFDgfGL1lsAExOAx3AWUcLUM/4JXAlgXWJuUsrRR6nq5dSUGhE5krOMtut2V9MxB99iHfj7T7SLuD/nSkNKBVmthSpiQkBpLrnEg1yqrQRBGZVQW7vmXX79HNDGU00VlG64nDSHCOQmnOT0+5enXJXu6S9nrMZCqZgu2kJpgzhFTTnxKEaa0QEIJHRo+MDhEkUqYuiiA8QngEqdSQEoKAQKUEIQaSiExWjRORKBQRfQfTH5ICmbQRpgRBJpJiKiOIg1hRShDu7Jenn4iULNwlB2/6J9wlB+KuzeuABLzZivgwyeDo8cdj/G3z5t65N++ED/4+lBjvQ5HH8+qQRDiHjFCb4lAi7NoOhMAqhQZE8OATWW3sB4xJu5uQBZIiSaIW0rngHNE6yMJLTVnlEoVgvd+mnUyhcC6p+MWuw8SCej5HZxTDdn1aBGPmpsT7AO4E6CJIZSCZ/AkQiovmhFKNLMJI0bW4bsfrl5fYrsc7S3G2pF6dsHryhHLW4KQikhxHtRR4Y1B1jbAjQQp22y1SRIQd2YaBrtujtkNKhITn2bvPuLi4YL6ouVlfc/XqJS+++JzOWWJhOD1Z0CyXNKenzGYzTk/P+fLjz9hcr7n87DMuypoS8Nst3etLbvJaE0Kg71pQmidnzzgzNaempogS6YBgcXh6EYiyQqqkbYBILpp9l8SVSqNQMifFKpfjIhAz2iWTMqZUks4OCR1yLu/swWdRIF1UKJXaHOVRYI0hMApxQAnur+05Qci035SXiOQwee844MLcle4edjkksvlj8+Ix8vo3odQPu3omhNhaS1HXFFUFXpOz1eTB0PdJ/viIJPgw8fimsvnv2m74dc/5WJLw+3q9PzpJ8esyvrdnPdN2NGd/KV07rBzpV3Hv3tOgbHeJW3Dz+jIZLo09bkyywVcvX3J9+YoXX3zO668uGYees3mSQO0Hz5g7EryH4cUtr682h1qe1Ir5bEHTzGgWp+m6pMLZNNF2+462tVxeW3b7W0yxpjBFCpZAdCPEiKklSiqqoqBalGiliCEtuM4OFMaglaauVqwWC86Wq6Q7MA68Vq8QWIbe4axj6KFvu7SAxsjV1RY7OnAiScJqydmTM5rZjMXpj/js5SteXt/yi5/+gs1Ny7Onz3j3w+9z/vQZYuhpyprVO8/Z3dyC83zy8afEEDHa4KVK5CqpkhS0GynKqaf+LrGTklSblgGpA1J7pHIEHw8mQ+Eg4xoh+rxIhTsEIfhDgpC+36RKOQVAlYO80ConRxmun85nREBqdccFmGrzkzObUkij3+hOOCb/TLt/Ke+QgWPXw7ugnxEJjhIAeYdePEQd7p07jOF4PyOIE1JzP7me6qKH157If4dOijQWXDaTGYeR3VcvkBFmsxlFmTgnM5PQsShgbFvGPunFl2XByWpxeG0jphatkWDTdcWQyg2FksTcQdLH9L37EEErtBJEqeiGju3YMTciMf21JESPcwXjriV6n8pYj6jwiYl/FGWGGNL9ZAg0NyPLIHjKki9/+Utuf/UZu+uWfujo7MBf/pt/yelH7xKqmk2IjNsdiyx9fj4/50NTsTi74Fc/+wW73Y5f/+oTZKmRxjD6JD70BFDaUJ5onn3wLvPZjH235+XLr/js008Zdnt0YTg9WfG9jz7i/PkzZienVFXFfDbn5uPPWO92PJ8vOKkbkIrvPXvOmVD8u//5/4syhmY+A9sjY8F5teRE19ReIrtkM7yY1wiR0DVXVAQt6ceBICVBSKJOyYAwhqgMUSUfkzR8klgTmScSRSKUSqUwSmBzS6b3PpmdWYf2pOcMRSJA5vlUaMO8qhOfJCZyosv/prGbvJ1yh0GM2X/jaEN4tIYfvmFxNJbTA/Hecf/45uD3Ni5AYvbHQ3IwtQ5aN1BZSzUMyOwnEkJI7fBtS9d1afwbc5BlTs8RsNa/eQH/jMfvM1H4nROE+GDRms59XWnhMejn4XHvdnG/xhRjrkVPmQBHJYj8M0bwhCw3OySdAJdtTK1j7Hu261u26w277RY7jInh6wWCbGMqEwkwmZsE+jFgfUKsqzpijKcoQ9JAj0AIjM4lyGq0WOdTNh4CwkEMSbjEh5ikjCUMQ+IXrG9uiMslVVlSGo1QkhjuVBY5qi9pKTFKslotCb7F2Y6yFCgtU7Z9+LwCQkSkiplMlHzsq0JRFgWrxYzBWj5/ccXmes2vf/YzZrMFpycnxHFEaEOhJCfzOf1qyadTLQ8BIhCkRBUqu8Ol2vYxSznBiGkRkDJBw1GB1GlxjxkuRooMI6b60V0tMpu9xKmGl/6F7NFw2CVnHoCU6qjcoPO5uwRB5Raj4wRBqrTzkkdB9Z4w0b0E4U1UYfKIOIz/RxCEQwJw/HMiKjKde1AWiG/ukN5E3u6XP45bt47/nixip+6Wbr9DISh10qqQRlNodUherbUEH4mFRqmK+ayh7Vqc85hCI0TEe4sdU0CJMfXya50d8mLEDj2TdLAuFD54Xr284rbdsRk6vjerUVoR7Ji0JjIZNAqRkkOROlPilCQclhOBjBIpAgqZE0lB6SR69Pih5/LLV1x+8QIfQJc1i/mMk6dPWT55wk5qdrZn2+3ZuEAjDc2JgaZm+fw574ypfblt25Qwas3Ny1fYvmfsBuJcIgqZnPyKAtv2dF3PfrenUEl4673n7/Dk/ILlckWUgr7t2Nzcsrm5Zew65ssnVFqDdQz71HKd9Bo87T4iMx/l8uqKzlvWfUvtWorVnOWHz3GFQhYyt+fmbh6R2nODEdl9PLVd2zxtJCTviLyZ8jEQEAgfDoZOSdU1/W9CC7xz2Lz+oEOeLwoJGKWRef13ZOXYkA2kYkgtmXldvDNUm7oZ4gFAeGxnfx89fogcHP33Xgx5HG4/zM3D73fPeVBMjO4goax1tpTPc+GhC+Rvhfr9npGD74JU/C7X9UdFEI6TibclEY8mGYdMc5IEFRCnBTYeDZjD0MuaBEltcOgHvHVEHxABxqGn3W95/fIFt1dX3FzeYJNwFaNNux4dY3I1QxClY78P7HaBfZ8ShJOlQ2uLNikRmPTph2HEjo6uG3AuBWRBIuun/nSwIzRVkkrf7AJjv8UNW54/f85qteLJxVnSQFc6yUJ7y9inTFxrnWq3VUlVVdTVDXV1nXbRJDOWFHbSayuRpOxHBz4IykLSVApZVTw/P6U0BT/7+S23r675d//T/8TF+TnvPnuGbxPMqWeB52enVErx93/7U5xPmgSWRK4pq4pAwAZHGVQWcciTngwRC9KF5DKQEiB8FnzwIv3jbudBzBLHUd8lC8fkpdyGdxzED8F9avnR6o1gr/Mu+fi8MncIwnFgPdxP3akkPgbdH6MFh4D/IKmYnPXucROOk4PpbtPvh9F8NJEfqzGKeP/96UQqFPHuPlNpYcw2sX3Xsbm9xghJXWiaukDLgrJMHAPvA+OYOn4QFWWlOTtfMXzVMg4js/mCUYHzI+2+x2bFt7osqYoGOSbNg67rENogTUFhFOO+4z//7X/kZrtl23c8ffaUqjA4KTGkEk+pNUEkd9NUbEqlprtlIn0ySoqEIpDTUaFYOgPbke2rW379j7/gxa8+5qPFU5anp5y885T3f/Jn1M/PuNq84mqz5svLS3avrqilxvzY8GxxwrPvP+Xs3fdzecVTKIMSir//f/87rr96yVevPmVoFJQFRTNDGUO37Wi3LdubLcvZnHeevsO//qu/oT47QVYlX16+4sWLF/zsH3/G+sUV0gVOfjhjrg3sO1598QWXX34FMe1mb3cbnn34PlIb/v5n/whGI6uCxXvPWD674F/U/zXl+QpdL3PboyBEj9EGXZZIm/0SXPIhGZ1LTpkojEy8hCwLcxBACsYklEfrFBFCTF0OIWDH1LU1IvAmkReLosgonc4pe0wqjySS8uBdkmNGYL3DhkmrA0LIKcghKX4zFkznpjjw7YLZ48n09Nz3UYk7PkAqGUQYk4BS8sdJbpZFURzKPlNnw7Fw0vHr/DGOh/Hxj3H8QUiKjx2PvbE3B8abdZ0JZjqUGEgQM4ehOS26eVHN2bJznrFr8dYjosAYjY8ObwPdbs/6+pab15fst3uChXmd2getD1ibGNPaWFQWHVIqUtd58AIxwL7tcgtezCJHqe6GiNRVnkS6wFuL9479fkTE5OR2sqyYzzXtrktLoYsMXc9OCqJLGtx912UVtEhdaOqqYjZrcqujzL36Bc1snnTynafvu0Nvb90siN7hhh1NrdCFpqk1ZalQWnIyrymM4Yfvz7nZ7rltB7745a8ohWRRz5EuUGpDXdTIkxPeefaEV68v+erVK6qyxhSG0Q246AgyEILE2zhtmvOXmH5M/dDkkkNa2WOedAKylHKCsnMAyPXoCV2YdkZTq9XUBihlZrwrde/3CUGQOYkoiuKwg5cqnVdT14M6SibUUYIwERaPxvCBSzBxSg6lhnRMCUjM4jZTIiCmZOGorDA9p7z3meVywvF8eWxXlMfAdK2pXHNnsDT9u0MP0r+maaiLgrPzM6o6mWvtd7u8q4wgBKY0mMIQiGz3O243a7qupWxqkIKyKlFG4bw4eDhYaxESVKFZFItkcSwFN9tbXr56yU9/+rcUdcV8sWRVVqxMhbOeKggakkaI9z53rKQWyiBlGiPTxEOifBLeVhFiEMggqFWFV45eGj743o84qU+Yi4LT50955wcf0ilNO4xUp2ecViUsFvin7xJ7y6dX17y8vKESivcunrCczXjn7CzxYBxYHwkuUknDy9tbLvuOf/e//Mck1uRhs+4gKLQosL3nq89ecv2LX7MbB672W6wdGXvHO8/f5aSZ89GH30N5wavffMKXn3/B1eUlezdSzBsuTlf85F//Dc1ixfO/8AzBMQRPaArK1YLydIWYpdLC6FyyLx8HjAsY51MHg4/40ePHJN+uQirDldrgdFI2nThEUWlsLmmazEvQUuQsXhKUOJQkvB3BOYK1uX1cHVqEpZYHrwKtkkaCdhIbFDa3SQYfsZnFPyGC8R6CcDQHDvPt7ajAfbLi0WLz8H7xToPgPhJ9NE+40w2Z7jtpKCRxozv58knYSOXNgxDqjdd77Bruzd23oBC/zfEwVr6Ni/DPiiA8VmI4voC3JQbTbY/9Ph2HcyKmiJx12uIRPHX3+x3kmjLVhB74zLyVKpHVXAjJk7ttaXd7xmGECE2p0Fqy6x3jGPEuq+KpO26b0RDLhAYIkgeDD45xzJcXSYZKWlAU+uDSOHQwDpFBCpCRoKCuNPPGgO+xFsaRbCUK0TnsONK2LdYm1buhNLi5RUqRHPgySz+SlM2CTxLFo/UkwlKS2oxS4C2UpaJuCopCYnSCg8nw+9nSEIOhHzzb62tefPoJ7XpNXZTY2YyyrFFlwdnJit1uix2H3EqjsVnKFpl29XHCMzl8Hek7IX+PUwYXSPrNgkQgzKS0OBUvp5JCBELqrE6nRJKqJZtAHSECUsmcIEikeoAE5IlO3rnITORUxy2SUhzIjndIgbzb8UzjOe9COCo3HCcIb5QTHnnscetk+vlg55Tf+72dEA/KEHAvsZmOh7Kr0wI5tXlVWRCnriu0ycpudkywsACTVSaFSq1XXd/RD0nC2gWXuCc6lWYSMpJUQ523aKWRSlAUBZBcDPfrjvVuy/XNNU/1E+ZVSS0VRQTb9sh6honQTfoNxENyFWQKHErkslJMyRQx6TAQYzYO0kRlUKbkyTvvsayXiNFz8vwJJ+++w5WMDM6jmzlNYaCuCYseu9vz4nrLrh9gtOi6xCrBilMqmbRGJrGcpp4R/ZZ9b/ny5WuWZcOpqbE2IIVBCU3wsN3seXH5kuvdlq1PAkPzZsbF+ROerk5ZLlbsbzZcvXzJer1hu2+xRlBVJcunFzz54F0Wp+cUTxTtONKOPZ2MqKZENiXRaJwEF5MDpnUOYR1CKrTUKWFzqYXY25C0S4SEQDbFAq3lgbjrY/LZUCJzPMTUuksWR0vpfeIKeby16LRzOrQVC5nKopI0f1TuZpAhtT5qKbHCY4e31+vjYby/GU/u3e9BkH/zeb7+3PHzHuZH7pS4Z3p2rB555HUwlSWMMYf15rH49YckJj4891hy8Ps4/llJim8tKTy8/V6JARJcEHOdEvKmJ92erVSdTeYjItePlJRY72l3e9a3N6xvrhmHESU8zQyenJ9QNzVBCdq2Y7fbsd32OBewQ0oSlIJZc9T+ll8rjJYoQBuoq4KyNDR1IrLM6pptsAhvWc3S4NNKURcxqXN5jx0i2w0Y1RO9JVYlMQaUEiiRiHOzpkFJRdt2Kakh0lQ13uce5dFirWe/H6nrSNMEQlEiZaCq4fR8xunpirKQlEawWFZcXm/ot1uUd5zOKp4/ecbNds/rzz7jxce/Io4DpTYUUlE0DX/2/e9B8Pz6N79CaxAqsO82WX9AE8eEIqAESao0weDxwInI+I8MIAJCRrRIMH2Yvrv8faYkL3+3kz1uJH+/ARXcIVhOJMVjcp7KErVSTv3ZSbDnLvCTJ/5xgjAZCN0FXMVd++IkmCXEVBe/jwxMR+JE3G+TfNgG+TDQi0PD/zT47+9w0svdr9VKISmyPO7xc/kjGPT4vUkp0Upx/uScQqXAYMfEixEajDKowiSLcqUYo8MOO1rbETUUs5LBDaiJoFpqKlXRVDV927HfblEy6ScUVYEVkY7AznUEDX/1V/+Cv/jxT/iLH/0EMzhuP/6czz7/nB/85McsvvcRceyTQFih8TKJKaFDtqUGnZSh0T65T6oIygtigLWPFPM5J4tT3v/gBygX6Dc7nABrBOtuTe88C1UwW6w4ayouv/wSVzb89X/7nG6/Z7/Z8J//4e/oPv0Vs3/8O/76ez/kX7z/PX7wb/8VYj/gX69ZDS95115T2EiJ5ERoxtWIGjWFNpSyoVQNJ8sLTLPke+crZvMFFxcXvLM6o9EF65fXfPrp5/ztv/8PKdDWNV0Yef7sCT/4X/0ryudP8E2DnRdIIo0gGZspyUYFfLD4wSNlhVCJLK21SRyE0UMQVKIgaEUkl4x8YG8HYj+ClBRVhdI6dZDo1LYaQjabE4FCqCSGZQqi9AQE49DhRsvQdmnzU5Qok7RDTJl+VybZTEslqUxBkVftEJO+iR23R0P8Dqa/G+ePBbvHgt7Dc/cTgGk+PHQ+PJ7703yKMRB8StBSWeFO+vjY6+B4HgohMiIpeUxq4A9dAvjtSzDf7fiD6SB83e1fhxocH/dvP0IIpt1oPCox3L3KYXH13qOyUp9zlmEY2O939F2Xd+vJK2BWJnezpq4xdZmIgoVBsKbvR9o21VljSAupyrtzKRQCiRtSGaAsFFWpKQudTG6CJwaHiAElInVhUEomb4d5hTIKYiJ8BT9mdm3A5F1dURTYYUwtRaNFCItAMPT2EG+Tcl6yFfU+JUxSSbQpUMYkR8ZmycnpkuVqgVQCosfakaFv6dpd6m1XmrrQ9EYzusB+vWbfzBmftPT7PRGYNRUnywUX52f0zuLciI+kBCAmlUUy0COOvrKJrChJt8WYdjKSXEOfugIyYBBz71SY+qqjSEI9uY4UY4RwF2TvJwZTyUDckRSPdgH3FwgeBNC845cTiZCsH3/XHikeBPnp3ISN3jt/lBwccw7efGx68xOCkJKkyMMEIR7NramG+9h8m55/WtRUdnIsigIRI5VJBR3rXXoOKSnrCmWSiRUidTOEBFkQREwLv0giR1LEBEErgURRz7L8OFOAiQlZKjWiKKhXCxDwgx/+gHefPWPVzPj8V5+w22zZX9/i3uuQLlAXJUpEtgSCiHiZ0KaQP15JRAWBFClRKEJKEiKSMCtxUTCEBJEbrZByATEpNZblCqGSiVIcLcnjNalrIjXlUqKaiqf991LP+67l0nb801efcTFA7QUrI2maU56rGTOhKQI0Y2D3asMm3rLfdihTURYNzxYLglEwK6mamtVqRdUskAFevL7kdrtHGkOUEmk07z57l7N33kHPZ3QSYvTsVEikTSlwSuVOhUTQjtlXXgqRvENEcohUQqUyj0iW6VEEYpAIkeSxJ66UG5PxlQyBmVaUIqmHTiW1IOXBU+VQEoPMf46ZB5Q9G0JKfr33SOeRwYNSiSslp0RdERQHER/gYIl9HMRDuCOwfxMS8HVtjg9Fhe4/1xHJOCZkUh21oKeSYjiIGsUY0TohCBOSMCGSaSPzprjT1133NEd/1+PrEIvfV9LweykxPHbuYWnh23AQ3nZfcRgI8U4k6fA0CT6YalAi3zvkuqiIERECQ5+Sg5vba/a7LUPXU5WKpjCs5jMWsxnNrGF1esJgR7q+R0nBdrtn6EdClhgWMZmsNFVFWZRoZRj7jhA8s7qgLEqM1vRDl3TrRwnBoUWgqlOGWtc1q4sVRVWglMD7PTGOmcPAwWJVSsnmds3Q92y3u/zZwNCnt+1Deox3d5+pVFCUhrppMMbQ1JL33l2xXKyYzeZsNnuCt7S7Dbv1LdvbG/q2pShrSilY1iWjj2xeX1KZkv6dDSor5Z299y5PLk75wfc+5Ocf/4bdZgemQAYFIWfYUWS/n9SodviOkIS8S45Rknqkc+1yIjvlLzcGeUCC0qZCEsP0XAk9UvFOYewuKTjqRND3yYhTwJyg/ONAfbifvH9+WhjTt/K4cNJDV0ZI7/3YCpdHkoMD6nB4bCT5392fR8dKaMcJQv4k3kzKI4e/7yEs+b4JvYLgRra7XVZZFMxXC3SZjKyss6ktMoZDAmHy5xhiKpGhBUKl9zlbzhnGHk9y3PQEurEnNnP0subcPIWLcz58+pyVKplFxcf/8E+sr2/R2uC+v8c4T3VyQkdg227xAqyMScxHRKIMKJfGhQIMUIUkpBRRiNM51nnW+4HWOQxwerJIpFo7sDo5xyn48uYSt93jvaPRBqUKhuCplwuWixmzD5+zb/d8/Otf8+LXn/CP//grngyS86Lhr55/QPXklI/OV7x7co52EW52vP74JV+6L7h6dYvSFU215OkPPmR2vuJm7BAqEWQLZbBtx89/9RtcNzA/OaMdelRd8i//m/+a8mwF8xnr4BnHnkstsleCRpZJ8MvFmHlRyWgNKSmUTvbRkeztIBLyJVNCLbGMzuOiwNkRFzzD0KfOJilAVyAMkrS2CZHaUkPWV0Ckuayy66YWMitcJjKjIyUcqEwOtgmB0lWJKZKniVYCtKKqqrtkIN55FNypHN4lxQ9dJY9mBg+Ph2FoGvvHZMIYM6rJfTJyjIm8DhPqlmZXjHcKhUIkxdJUVpA5adCEEHHugZDTHyBQf9vneyxp+GflIPxxj+lNCe4g68czsSkIkDPmrm3Zb3dsbtd0XYf3lrqqaeqC2ayhMGmCbLfrbNubpGy1Eol7kF+qqoq8O8lb4Rg4PVmhpGQ+axJxB7i6GhJD2I24fmQYLGPnkaJHyT37vqWelxRFyelp5KOPLPN5cjacGOfeJyZw08x49uwZm82Wy8trdIYEm2Z+TwYVyFKpFVWZpIi9s3z++Vc8fWoTpTMHkrHvOTtZcbI648l5x74duLxeM7iIj4Ltes1ssWDse2TbEqXEjQPzWcOf//lP+NWnH7PdbTh98jT1zrsBqBAi7zwECOShlJD4BiKdy7m/jxGlE3kyZoQg2Qgn1CD46Xd1+LpjlEjCIeM/DvBqasFSCUG4164ojvkukfsJgriXHBzzA2KcuhiOCIXH/IEHu/gJKbg3EHkzsTgM48NjvsVu4Dg5yM97LM+azJjuqykeS7UCOK2oioiIhrJOXAOpFNJIfPAMXerlN5WhLktCTDXu9WaDtZb5fEZpCmaLGV23T90OMoM8IlBURTIiaio6LRiC5WTRYDwEL9hfb7i+XNPebigQ/OVP/px3zi8oUOx3ezoZCHiCUJmkeABvsjU0U7qWEoWQzg+lovUjXbflQs+ojeZyaFOQLDTOW5yPSe0zL5paF2gh8MHROcd+t2FtW1zwzN97RjOf8cFHH1G82hA3LT/74nPk9hL9RcXtxXNO6zkfzM/4yZ//Nc/O3uGn/8t/oLMD//Hf/yeWL76iPFlgS0FZVcxXS3zbYfcdNkQ8Aus9QWt0XbO8uCDOS0Yl2QfLqDTyZMboPXs7Ij0Qk3dIJQ3KKKzzeB9QUSJD4mRESO2LSERSUEIrjZAKtEa6EuUdduyShPw4cnPb0+6grioqbZhVNYnuKPAil3KUoqkbqCJxNs9ibZPvh2ewFm+T54XoNVIrjLMUZUlRFhShJEqZzZAyeTZD+RMZMMkhkyD/o8D+7eWCHy8zwB3xMMa7Oa6UyteSEM5JNKmqysPj0jW5e6XIKaHpug6m9er/T4/fS4LwVnLhW/7+VsTEB+fSnpMDDA1pUeJokZ5g2ZDbd8SEU8ck6+vGkW7fYscxSWYqgRQq1e4i2Dzg5ZRdxrR31HIiRgq0TJm0AkQMEByl0WitqKsyScaSlMp8zip8BOumjNlDsFAKPJGT00QUW6wSIiGlZL/fHQJ/XZZoXbBYrpJG/XqXrGK1Yj6bMVqbSJchpBJFwoWRIsmlxuDodjv6+Yxx1iNliXORru+Zz06YVTO0KlFyzcsXL/BW4IPC9rtkPrNbo+oaE2p8iChTsjq7QOqCJPOQO0ti5LgicIAlpTwkCHK6nQTvQoJHlUzwde4BIWafaymOEoRJcjemxEM9ggCkrhGV+Qh33QuHdSJO/4mHMsJ0ezInys85lTxEeu3MOLgrOzxAEjiCYA+IQP5dHP7Ij8t/HicJx/eZ5ocPfrrgjC6khTOdSonvVL6JMeae83joYICp7preizYJVSMmxEUJ0EWRPi8lcSLv5IJHqwJhNLow+BBwMRJ8wNlU3xZRoYRBCkMAgktdPAiFUiZZamuDkgoRoTRFEuIxI60P7LoOtKLQBWdPLiibhiBSwLQhEGQmpDKZr6W35qd/QuAlBC0JMSaegVD0AbajpRIeLyWh7zGFoSpqBh9wxIO6JjLZHKdNRPawCJ52HEAKlss5hS7R8xN8LOjlLVcvLhF9jxoGXnqJmw+c6pp6taSsay5evuDy+orPL1/QXb1G9ztEbajqGmct3e0G23Y467MXSUQ3NcVsgZ4vsKVmkJ4+eGwURK0JMeAAGQLZgY0Dyu9TZ5cXPiF3MSmBRuRBR4KY56NM3CcjE0JXREsg0tsBN1qEi2gkqhA45fEidYp4eadKq4oswhTBW0sUIyJO/UmJ6Oe8AzwyKsQoUAKCzN0oWmeBobSeSi/Te5jWcanSuA3pe5dZH+WALMY7sbS8INw7ppvutpH30bYDdyjfKSGe0z3T2hJCuHuCqaSZO9TitH7lzYpzPq8/b3eoFOLokt+84of3fhA3H56bVo+76z5sku/dJ7751N/x+L12MRyf+7r7f939HjtXqYJKGno3Jme24BPMqUSC3qbdUT/i7Yjdt7h+QI4D2jmEd5yWFRsb2X51RbveJ9je9djVEm1mXG5ugcCilFRlQV0VuH4gDpaZVjmwR2LbIbWiMZJgs+qY8zitkcHTzJeUVU0saoSQFPMVY7hi67ZEma1aXUCIJc6XrF87lJQU+ozdbkhciR7s6Bn6gcI4mtrz5FnF6uQZ88UZmiTB/OTilP1+x2Z9y2effspm3fLy5YgYt1TS8+EHH2CEwLaCsh0ZrnZ0caQdPK9uNpydeRaLEd9vGdotc7nB7mFsQZU37L56zU/9Ff/6//A/cPbB+/RmiZOGNmjKsx+zWBs22w2lkTRlwxgcHkehC7Q2GCOyhv/9iVpO2bjKMPwb8yQH4Ac3H6aDlIjCHALwcc3/sBBMEL+4c7IriuIuWOegLo/4BjIz5493HhNZ67Gx+bbxK4+u5e4aY36NI3RLTAyapBlpBfjocd6y3d9SFIkbY0R63m6/pzQlRtWIoJBCUZoKax12TIltynQHun7LYPfMFwVFKWnmGh9bQhzBfUTEEKRPxpoCZGNQRjKvFEFIArDuRpz1uN4zq56yLBWhBd9pdrdQuHN08Lz+1YB1hjnPwCbXUcmcFSVnoqIYTVqzSoG+gKKo+d7ZGQBX8znDsuLGQDlfYJ2jvbmhoqIRFcPgDljhEB09gqFKyFvTzPHO4Vxgv3a0W8u2nfHy5S1+HJEEzk9OeK+ap8yCiJaawhhUIRAxObmOvSWKiCZyFtLuMV7ZxE9QBZe6QL7znB/8zb+k+vgr1Oev+M//8FN+E3/DP3z5S9798H3Onp5z8n/6V8zGntObK66++Ir2doNqe/R2IKx3xNs9vh3YXq3BlKj5gvd//K84/eB92tX7bIlc2pFWpUbP5nIAIagpD1wapRTKAW3yvZCppzujKwJVG4xJpOK+7xnGgWFIHKqpLbbSmpPlin7oublxqDBDBokbHc5KtoPFzzRFISnrJN0+iQeF6Nlt10gJulaIUkLQ4EB5h3CSaC0Si/YBbR0aSxEHpFGgWjBlyljHgXF0bNsBZSq0KaFo8CFmWWNLDJ5SKEJwODckZ1rvcueUTElF9lBJduEJmZTWo4VPJWGROFmHOeoiDvfGHBZSUSqTFEIRKAqUKcAcIdUeNPqgBxdFIHBf6fFo+Xj07/zIbzz3RtmE4sGT5U3BtPE5bICOb5dvea1vZ7v9RxdK+u4Pvvt3j7R1lCVGjkhdGUFIML9ju17Td3uEgKosk4GIU2hjcH5yvQpJOnOMiOhT73BhELmVcbSOkCGwcRwOr6xyoBuGAaFanA+pPVGqxNy1yawmCJlJLZFhTO2V3lmUklhdYMcB75LanXcO76DPHvavX79mPquZz5rcoizoug5nk7HI2ekJRpXcXl8zDI6b656L8555GairGikEbrT0LtLbpP44Wkc/DOxv1wz7jt0uElyad0MfGWnZhFfc3Fyz3G4RJ5ZoEiQ9ny9Zrla8atfEkEoeeH/0NcU7bPh4Vw2pbj/BoG/A5m/+/saRPRem+z0G37/ZRniXRBzf97HbH17H8Rj7NsfxTmVKAHjjWSaNwAkdSHK1wEEuGSEIIe1sp92OlApTFIggEcipRT2hA+mdY4qaKCJSJ78B78FaKIqGqpghtiohTVJN3lQoldvU5J2iolABFRRoQbQJYShMiQgieZrEZMgDqR3YCIUuC6SWRJENuDxJElkIjDbUVZ2uWSQ+g1SaKESCpvP3ZnQq90XnEtE3zxmhJoW7ROa1fsT5RM6tdIUvPWMzI2Rhn7FvGcaR3b5FhIAgIKOjMJqqMBCT1VNRVgzjwJjbd5OGRdqtBQ9F1aR2P6kw1Yxmdcq7H30fGy2xlHQx8OX1NaZTlEYzPz3BSIU/7wk3OwovaILi0+5j9ps9PnhKo1mcnHB6fs7q5IRuGBiVyFSX1DpKrsknREscuoQPQSHm1mJxt6764BE+ta1a7wgxUpTFYYyF4BlHj8YggLoqcW32Ozjs1BNZ0MeADyGXmdI6JSSUdT0VA0kLYkbplDjwEAgRGUMmWA84OyKVQI8K08zQZRKVUVpRFClhiEoTlU6II0BMLZbCW4KXKJH4LV6QW3KTnXiUkoA4XH9+E3cF6EdQ6cdi0URAvvv73n+4f8M0i+/++9sd8Y0E4JuONyqRD1GEN5CDr0ETvuVr/0lwEGKckIoceJjgoSSkk3aJR5ng4de0kDhnef3yBdvNBm0USz2D2BDDSGTSs08JRfCB3jmGrqeuk+yxkeBd0j0IHryLtKqnKNJuxGhNiAm2H11Aqo5+tAihCbQMXc84jNl5DhCSru1wcmAc+7QoKo1zI9H7A6xFBDtGxm7k449/wzvPnrJoPkCIVBu7utohYkQKeP7sOSfLgZcvbuh7y5dfOp4+3aCXmtP5nMFHhtGyHyypFVlinafrel69uqbfWfoNVAa0hraFsRvY3rzgo69eMrt4hb74HloYVKE4OVmx35/x6otPEZBKK+IYAvx2x8Oa//H5x34HkrzsIwnAY0H/m27/xtseLBqHkRW/Xgn0jSTjQeLxJiE3ELzL7bSpfTFmqXBvR2IMiYCmNVVVQ0jtVbZPxEAX0mIgpaKqa4qqJkTLZneJ9Q4xCE5PT5J/QDsmKSKlEJpE6FQmlV1EMtKCiDE6d6hEumHA2shyPieMHuuGvC5FVJHUOxWS2apBakHb7whRE32RDLBkek9CzJJCqUrjz7rcfx88guT8N6srXPC4cTh8Nt56irpKImExgrO4LhsMRcG8PsFIiYoBTaTXmsucINzeblI7bQy4cWDWVMR5k0h5SrJcLBhtoOv3VPUCYxI6NXF75rMlERh7hy5r5hclf/n8KTZ6dq7lFx//iq+++BIbep5enPNv/uovef/pO9RK0311RRFgIQpef3XJy5evCSJSziqevvOUp8+f0Jyf8slugy0NcpY2L1Gk6fRw5D2GwE7trADOukONfOqIWSwWiPx+9vs9wzBQ+AKpFE3TsG53jON4EASKWck0+HBkZjRgjMYUhqdPL1J79TiAtylDlQIZNSrkUmII+GHADiNuHBKXSQSaAmarU9Tcw2yFKhSNUnih8EISZCIsa61TtwwBXE9wGq8FowLvkvhSgIx2peRAQHKbhXvx4LfZmH6nTexvt3/4vRy/DVnxcaTz273On0SCcAiYk1y/J2XaR5m0EDDxzYWIGC0pmpSl9m5kt9vg3MhyMUNGTwyecYjsdjtu1gkykyIy6JQAWAvvv3tKXSexI+c83idFpJihHJXtcVcnJ1gf6C+v2O97+iEk/XIp0b0FAYv5nKJqUs3daGy3xw8D0U9sd58tjdN7NFpQGIEzSehkHOD6eoMIH/MXf/Yj5rOG/W7L69eXvHzxmnefnVGVBX/zNz/Cjgm1mNUaomPf9mw7y27w3A4QpUbXC0xRUjUVzazCSKiV5XRVMGsMqp6zGRyfXu9RKiUkWqtkA6sVF6enuL7jb/sdcRSUwlMojZZ3O/tvczzsNDh+7Nt+RiEI+sjz4VsE/+m1jh9zfO6x54D7+/67YP713TePJQmPHQ95OsaoxDL3DueS1oWYSFxCYMqCoqwoqpJgJcGTuCxhJNoRgcTHyHbnGccR50ZWp+9QFJqqKdhu17x+veGJOcEYhTQKWQiEEYgCggw4wkF0K/osMiYFTy7O0EIjxoCqNPp0xmZ9yzgOxOioSkVRl+yHHW6wBOkZRkfcpl25NqmzRilFbUpiE7HO0nY9WiVLc5M/Ex0cbujx1qELg4iR4C2lMBRK422XkBRhUASikKgQ0EVBc3bOSdUwjgPny2WWzDW4IYmj/fLzrxIBWcZEyqsqnj97Rj8MjKPAuYSiTIRXLWNuZ8sbiRqcjlxvbggCVLPivT//S578+Ed89eIzhr7lf/7bn3JSlCyKkj9/9n7S31AFsTKEQkOpqJYNT959gjQw2D279gZk0jqxLvEDjEyQ8oQaxKNxE0JIglEi8Q0mIt/oXR5L5jC2drsd1lrW6zW3t7d0Xcfp2RmzWcPp6Rnz+Yx5vUBKQdf3rLcbrm6uCMGzOj2hLEvqukxI6xC4urpCKYlWMsnXx5C9GxLCMImYYSavEkGI4O3A7eaG3gWKfUe5cghVEGSBjQKPQJU1UmmKMrVDHjrYjvxlEDEhK9yVFKVIha2JCzFp7v42x2NJ/7d7oPijJAlHziR35yY0/XfsVnjb8QfhIHybx/yWrzI9MCcJ8S4FijH3qnNHAGPamaYebmLAZbnDqiyIfkxypBZi9IzjMHUMIdyEFoDzjhiSwmJRKOq6gOhTiWBwB1OVumlQ1iGExFpH19nUsCYFNkRMmQiIs2yrrIyh9ZbRWay4Q0MO7y852KJVEoQJEZyNjMPI5jb1M0/yw0NvWa/3zKqSMA88fXpKqE1itFtHjOSdWsC6gA8CIQVap/YjY8okm0tyT1wuC5bzCjNfINuR152DGHE2Q8o5aNVVyaypIYbkzGjHpH4n3wzcx8djyMBj5YC3IQFANni6H+y/CT1422t/HYpwuO/XzP7HFpW3Pc/xY6b73XUoJOJkyEhCWuTurzsHoxyliVni2FqP9RCCRMjEynYu4oMhRInRS4wpUMrg/Eg/WILRIHVCEFRSnSSLV8XgCFESQyK+JZXCJFNdKIN1feJRyGQCJnWmmxrARPzocMISZSAEQbB3ZaTgU9kucW40AnDaZlO0RMQLRBQRGQIyOFRUiBjQMWAScwI79PnaQcVIRIG3KFVgCgPWIkLAV1XWgChwIkkQC2kIPvuntCPWwWwxZNKgwtoIZCv3XHKJWfZbCo2XglFFeqGICsoy6R6UKrIeW9yN4Pr6mmg9drDszyxGauZGJgGhUhNbgaoMs1UDCny0RJLtuRQBYnKPRBaHIMiDsXBHsLu//qaOgERwnMaYc44xK7Nut1v2+z1KqVyelMzKJUVuq5Yyq2e2LaMdkw18DBSFTuuS8Oz3gcJoitIkgyZAT0ibmBx3Y3KQDQapQRdADPQhMgwjPkqi6ZAmJApDFHghKVQSHyJmdcOYfDGC94l7FgIhJJ+IOynzPEuneQcQ/TcGzG9DkP+mIz5WgvhDHUcIOjyeHDz2/v6k2hy/S0aTWNoT8zfD2D4SRRZmQYACyWQGlMSHut2OcbumW68JfkTLSGUM7a5ldB3BD0jhqAw4B9FBH1KJuzAwjj2t9DRlkqVdLuYHzfnb21uMSZ4Hy8WC0Xnqqxtu1p6+twSZvszQWy6eLljMZswXc2S2TI37LUIKhujwIXs5uDwfXFJOw3jq0qBk7l+2gd028Ktf/pqmMQgi11cd3Q5+ub2hLG65uXnNajlnuZjnz87joqSazSlXJTNRgiqQ5Yz5rEl2vmcXxLFFDDsuTpcs5g2ymhGLkVULXdfy+vVL3mv3eJF6rstCsVzOWDYNwY2HheLrAuN0PBa8p+/5YaB+FBmQ8hsRhMdc1x6WAL5NiUHm2u/D6/+6TpxjpOLrjnuTOaQAPQ7DwcI5lZ4m2VuBkIqAwPlUEGuHgX/8+a+pyjl1vQChULKgqk44nS9pZjPatqcbLdfrjvn8+5ysSrrLTxm8w4ikeqhzeSiQeuVDTEIxhqShUEjF2FusH1BRsNltubm+YnWySHbRpaYd91xeXzE/nVOqhm2/pQiGmvkBJYoeoowE6VFkIqkpDt1IYRhAQIVAFQav0440BIGLUAWLGD23X35KUZaUFxd5cZTYaNBFhZ41XH7xBZvtlnF0lGXFbL7g5OSE5mLJ//q/OkVpjdGan/70p2x3O27XI1VVUJY1ry53OJtE1U5OVqxWC4a+QyvFcrlk4yJbC/riHaQCa2BrW8ahR50+4/zsCe/+6EfY2zVuv+Mfv/iM83oGz99DLmc0T894vV0jas3yyQlDGQnac/50iS8Mrojo6HMwPkpoYw5DIdlYkdvt0pi9G1NJMllT1/VhPFtrDyFsWr8++eSTQ9Lwl3/21zx/8g5Vkwias7qk3RcE71nf3DIOPd47tM5jUSQFUq0VVdZ9mVVlSjRReDLyhESYisJUNDOJtz2FCvSjw7rAvk0Jgm4MKH3wl1E6dTMMXZsQKt8T/Ygfe7yzKUEQpM2ISkTSKDnoOoigINpvNQcfzsffGkGI8Y+ZHxxe6ndJDn6b45/NzfG3fxyplWuyVs7/DrusmEoMk8z/RKIZupa23WK0SGQubxn7PUPfEaNFy8isMWw2idDT1EkuedbUCGEJ3jIMAaNnlGVxEM4oigKji1y3S1+bD8niNEYwuTNvdGBHS992JAPDrOznLEalNqAYwfvM8dHpsYVJJYayNFnHPFAaiWgUQiRehYgRowOrpaLvUw13t3UE3zEOgbKUaBFwYcQ0Bq0Fie0L42jxYYfeC/rNFtyA8T2jrbCuIA493gfqskyf1XqNdxbtHdE5lITKaM5OVgztnuCGxKLPx9dyCB58t3dGKm8G3+PjEMCFeKNc8DC4P8ZrOH7eb8U/EGkHLcSbE+3rkoTpud421h8774NntMOd/oYukgKdSGQ+RDKgChEGa3EWRueZLZY4C9t9i/cWIRRKWV693gKSfnBZNCyi9RqjFXO5R2sohkhZgy5BFynxikIjZWLH62zIUyqNlJ7oA/12i8Awm52AVLiQpI6jLDD1nP3oCSISZAEqIRfpPcM4OpwPqDGZZQkhMLo4WmCTf8A4DAd57qHrD1BzVGnH2G82iKZGnqxyKSVyu3csV6dcrBaczGcUSubW4mRZfH11k+B6keSFi4Lkd9DMiTEe5LoHu2foHfvdPisUKvp2l/r0baRpFlR1Qxcd3nmss4korlOiJPFEb1FN2p2XTwO1NjijEXWJrEv2bmQ79Ky7HaZcIY1JltgqYt1AjJ7Hok6cOFeRtA5mqXmRWwWFEOgsrERMVsY+uxEiBLPZDO89ZVlye3vLdrvNPzcUqqD7ssMYzWw+Q0hoZg2BkDkjkxdBIjo6B9bm1soQk+yyFEQxtY5mpcQpUIVIRKJNmTQdgiO5nCYXSWkKpDYYk7qeYha4skOHxBF90luY/k07dyFi8oGJWURvApa/Zr592y67b3Oktu14/wX/QMcx0+5hAvAwtv6+Sg//LCWG7/QaIaYdyHFyMBFT8seWbTYOyYGSka7bs9tuKLTE+Yjrerr9jr7fU5ZJBMnMS3ab1D45n8PZacPZ2RmvX75i6HvsGGmaiqIwmcATKcukomhy+8xEDPLZirjQZP2DJEoUgyNs0qItleJsrqiMQAmRwP2QOn+UAiPBGEFZaeqqQMsU6AtjqOucpPjEoygLqM4Nm01kHAPbbaBrO9a64/RUYRSY6JmrkqZIOzEbA63rku+Ds7j9LSpaKmFZNBWF0bjBYWPSdrhqW9pwjc/eEXib+stLzZPzU7YaduuRB/H8G6H2w3cb77TSjwlX07h6jKMg3lKWePi6j/EGHk0EHnARgExQzLu3r0EjHu48HnvfXzeBIVnN9kOXwDApqbPiXAgBqaYEweBjIgwOfYLwT88vuLy85eZmjR0E3guc19ze7thu9nifShJ1NWMYRoL3/Ivvn9I0BWUdqGYRUwWqukDprPhnFEInJ9JCakpjUquld2wutyhVc3q6ZN/vsD4J5IiypCobvrx8iQ2W+cmCKCuUKg8qedaNh/ebBMc0ZVMdOhOs7XHO0+/3aJM6FrrNFogURuNJXKNufYPyFjFe4NuWvhu5fHmJAeY/+D7x9IRxsSCgWG93vL664dXlJaNzzOYnicdRN6zOnmbdkT3eumRr7KEbHNttixSaGATdNl1Du+t59uGMqpmz3d4wOEs77KkXVSo11KnUMXZbTNVQmIKT5YoyBPzokE2NrCt2buS223O5vuXJyZyykOhS0XtLPw5ZTvlNh8BD0pmNzuIk/gOQd/Z1XScBIB+S1f04HqzMV8sldV1nmflUjnrx4gXb7RY/ej799FOapubZO8945733WCxmuQSVgri1luB98u+IIdfEU2eW9cmGO5BKSClB8MT83RMiIkSKokK6QNotpZJZURToskKZAmmS9sM4JBLkMHRUCmJ0xODzv5Dkt0kibIe5FafQ8PYd9cPP9Pj4LiWG+6D/H+64y30ef2+PJQzTz8eEpr6t+NSfBkkxQPR36EGAxPA9/JGRhJjIK1KAMppmPuNzO9DvNygJgx24vXmdJoS1nK4WaC1RWnJ7PTLKyPnJnLOzFRfnp9xev6brEpnR2lT7khKMUUlIpagpigpEqv0F53NrEphCoWNqH3KjYxySSpgpNPOFZjlrWDYaGR1DP9K2PbNZRVkalrM5Wku0STK4MUS2a482isJozk9XSAHXV1fYccTagedPV1lvv6LrWrquxajUJrfferqrPWwGLncSFyBIMDqgVaQIDiNict6bjxjdMgQQ5Yx6cYK77hncNonr5NIJzhKdY95UDDuB7fcUTZmlcb8Zc3sseD8WaI8dGQ87c3mnbfDwuR4797a/4ZtJir8LgjAd32oyR4FAoaRGSoF3SYjFWkvV1BRlyerkjK7r2e72fPXiimFwCFkhoqGa13z58guurtb88pdfELwmRIWWDUSF9xKtkoDRuN9SFgpTGMosh1tWGqVl6qE3GqMl88JQKEGpJO8+e8JiVlOZ51g3cHO9J6qGqFLfubfgApxc/IQgYT+0CFNT6DrbUDtCP+B9sj73QWe5bJ3dUSNujNjBMw6e4AJSRNbXtxADZWGwdYkUYLueAcHu+pqbmxv6wTIvnhK6HR//7B94eXXNYB1nT9+lrGe89/w55xdP0rgXmu2u5Xa7Y7dPHURlVeODwEfBD37wEySRbrvG2xFnR3Ce3XbLL37+c666geXtGpca7vBxZBYbKlfQWw1uxO7XNAQqoCzL1DrtPcXJilUMvP/jH6FKw88++wS3bFioSDdKrBIElRQxESD04+h1ShICk4qGEHknn8fhZO/dti39MKQy0ERajElu++nTp8xmM+bzOZWuCDbw61//kvV6YLADwzCwWC44vbhgtVqyODnBZvG21CGRWhBTZ1fAO09RFInQWJaJHKo0INN8jcl0K7XPGrQRqV1KKryPhNEifEDYROoWITCrSmoj7xAEJ7BOJNEuyCUGRZA6KW+SFFe/6371u5QY/sB747vXgYSW8Kbo4NuSg4e333u+/xI5CN8ZaYgcOhgOEMIEteXKjIhTWSFNKkmyiHV2ZOg7lHc4my2UR4uIgbpK0sZaKxbzgnGUNHVFmduwjkliIu9eUjYOMYqsM64Pvg/JwENiDCmwx8RnCC7mBCcJDRdaUxpNVRrmdYUSkeAGqkJSFZr5rEKplLiIGPEuJSaJze0SoVKIRA70SbvBmESinM9rtA4I4ZBC4p1nUA4XI946tlvPGBKprCpTGUPn+l2I4HzAOc9gHVIUVDGRI3tI2Xv0EEPqJAkeo3MS45Py32PcgofH2247DtDH3Q0Pf0YhHrgWfPPzvy1B+DrUYfrmeWTh+LrF5G3Jz8PHTz/T7wIpdDYAE/l7jTgfkcqgTVLU9KGj6zt2+x3D6CjLbC2uNbrUqEIlg6NcVuj6Ee8FdohUVUNZSnY7x2ACSgdMF1HaURYKpVNduTQarSR7LTFSUIiIdAXdwrFc1EnMaLAII4laEL0kGkkwknq+QCpJGDVIg6BACg/SoH2CoAMWhCREiXWk8RQDw+CwY1LOS1SjSHApMRcZXpeSTDB2tLs97W7PMFjmK4ft99xeBXa3G2yILJanFGVFWWhUWRGQ2CAZfUT3A84lopuUChuTVokpCoySyCw7TfDUdYWzI0pKhnFgvdsSMmfD+oGoIlF4jG4QGUX0ArxIdteCBLHrumYWIxfvvsNgLfvR0jqLto5BCKLQCFNkRFQeOD2Pjbs7kuIRup2TgwmJ8z7tto9vO3geAIUxLBYLNAqvXOrW8snGqm1bYoyYsqQsisOOU2aeQJiUW/MmqBuGpP/iEonbaAPl8XxK5U1E8l5RURAyodkHnz6oEMAnwS8tJUYrhBGQuSseBVFl9ICkgXCwHE9CSSk05A//a47fJWjeO9KF/FF4CPEQ7x5HCt72808mQfiuR4JJ4mFAJvwqJElOjoO4yP3YKZB27ZbN+oab6yvq6Njc3nL16gYFNHXBe8+fUJQapWDeGKxzSJnaa9Y31wTv0Vpg5oq6MWmnVZTECH3fE0PInglpMi6XS0LcYozHh8Qr0BKkSaRHozV1U3N6tmRWKyotKE4XtK1GBpu7FgJaBpTM/IRc84t+pOsdG2vZbW6JAW5uLEqlcsZ+vydGT1WVaK2Zz+fUdQ1EFsuazga60fNqe4t3HoygKCvqyrAoU2uZHDuEAO8C+80e+sggGl6/vmYfNLvNFmFqTKMRBIIdKZSiUBKj7pOl4O2B+vg4lkk+Tgwmt7REiFL3EgdPxB+VJR7jLDx27m1lgLeWKZg4Lt+82NxDHR6QFN82GY9hPqUUtZrlMpVnHHOrIZqinGUxH8d6s+Wrl6/Z7DYoZXjv2SkITYyKf/Nf/TVEzf/uv5d8/ulrvvzikn/8u9/QtWPiHsyXzJoFy8XiYDgTYxqnXZ/ldJViIOms7YJHRo8Mjs9//UsEgaIQNLOKxcmcAU9UgmI1Z3Z2wvLJKRtvEEZRzC7wccSGAWlSl0JlFhhv8cFhx57BOfY3Pc4OWDvixhYloannqSQXHHW1YhwH+m7P0LUQA0oU2AFefHXJftemPv3hS4RKnRknF884nS2pCoUIlnZ3S9AlURWoasHZ+SlnTy7wAZz3bLd7+tct69sb/NAiiPTbXWqV1pL333kH/f57/PmPf8DnmzUvdjtutre07Z6rm0uePn/C+fkJF6ffo6xmqMqgvUPnxMeGERscZ2dnnD55xuL8CVfXV3z6xRd4XdIFiMKgTEXVzJDkVurhLeMuppITWf43OaSmMdbt22S/nE3h6rqmqqqk0zL03NzcpJLKVPaxltPFCWVR8ld//ZcHg6SvXrzgdn3Ltt2xyT4cZV1RFAWnZ2cJFbGOvu9xztJ1PW1MuhVl0VIYw2w2T90vRSonGaFQuqRQER0inUtjvOt6pobGEANGS2ZNSbNsqCqD21m8ELiYurq8lyiScFWUmqA1QWhE1LiJVOzlQ++zP8gRY/yjkRS5F+3enhTce8TvCHH8aXQxHP08gAg5HUjqYneStQ//SZF28fik6uVGkDohDGVhMFoQCZyeLIgRRifY7Xas1xuEgNKYFEjrmrIsqMoK7z3r9Zqut4yjoyhKhJDM53MiSTHuZr097PZVdveTUkD0DG1LnFUoaWiqEomn7wzO2rTj71q01lksJD1GZuKPd+ClQ0rJalUlUUEJ+71nGAZmsyH3LdcHkRPnPFoXNKZmdRoorcOSbKsnzEUImQUKU2CeLxZEXRLzNQiAGJJFM8nDIkqJltm+uq5w3yB49NjxGFpwz5Ux/32cIMSYPwjevkN/LHH4tgjCvfN5Lb43Hr+Gf/DY6x8/31sz/Ww/lDwVUjKJEEmARhY4C+vtNZdXN9zerinKgrKuMGXaPQkhCa7HR0GMmtOziqp8h6qo2O8Gbq87QCFQzOZzBMkcx/mYVRiTf4eSOnUYxAgxBengRyqVSGhSBJxT7HYRK5ND59qOvN7eIl91UFWIQlPMGpaxZRW2lGWJ0YqmzsiYktjR462l33c4m0oPIo+vftgfkCotS6IEF3sS70gyX5znHbHDmEwyFNCPI9vdhuXpGURP3+2Q3qKDR1YRtKf3AaUNqiiJqJzcD8xmJea9Z1Ra4K3l2nYoIkoEbm9eI6XAKEl0PZX0vHO2YlzULBvFYjmnqUu0dwg8+DElWyK7KookBDT4QIiOqA3lfMXFO1DN58jC4KTCBokdHKos7ruB3g28aTDdH+93YMLdbj1yMO+axqK37h4aNiUIqc1bUNfVYc71Q09RlmijaeoqlSy6FqU0ZVVhtKEwBURwWhOjwGUvm9Ha9LtPBEdjUpJQSlDKHsDfwfosjSymS8baASkFdlCIOBDGEuUGYnBEZ4neJZVGkeeMmNZWlZIEErHYTdyMozn28PeH574TB+GPlhyk45uu7/fNB/yTICkS70goCUKKWTcjw7/xyMzpKDkQMRFntJIIH7I1MpmzICgLjVSJ7XuyWqG1Zru3tPsd+90WicAUJfPFnKapKcuSqq4Y+pGu67m93bLd7Tk5OaGuZ5ycnaCVoSoqdrsdXsSDsZKc2vKCo9/viKcSLVM5QYpAuzdsbY8dHV0rEoGrLJPgSYxoJbEiSb+GEFEazs+aQ+vTb36zBUaePBlpmob5fM7NzQ3WOobRUc1nVM2Cs3NBN/rENncj0TsmMROlRO4bN6zqGU4YOpnaj2QQhxKOljLJEGSNiNIYZk3Nzqt7Sfsx+fDr4PiHCcCUFDxMFA4lhhC+cXfwMIgfv97D39+GJqSE/Wj1PXrc1y0qj73fb5wjURCiyjs4iSmS06IyGik0ox356sVrLq+uuL655YPvvcd8UaNMRKskZrRZb7E24Kzh5PSUd9894YP33mO3Hfj0k1dsNi1dO7Co5sQoGUeLHVMpI04cCGEOCUIUFrCEIDF1Tak1kYQAbLeWYBRewO3twN7t2IwjsmmQxqCamkW8ZRlvmM8b6rriycU5s6amrkq8TZLi+80e75PmfmUEBI8bOohJZvjidElUAhtbCAmJuFidE2OkH3qaskwJR3eLu71hv9/i3EgIjn63RhYpcJdSQijo7B5dVhShSSI9PuBsy3zeMH92joqOoWsZdjfgUu378vI1EFjMGqKIVBIunjwBAd0wz8i5QPkR4SMxOKTWafxGSRQKlKaznoFAqQ3lfMHTxRJLxInkw2FDZOwc86LBSA24r00y88lUGxQpyEqZrb1D6nSyziVOA3eIlVIq3Q4HjQQpBKvVxGMqsM7RND1FURBJJNqryytijKxOVizmC6qyRkiBCQYhFMMwpO+l75OWQt8lvRVtqMqKSgl0mQzEEILeOnyMSQkxH223gxjoRED5njirmRWCGKf1Kr0XoUCgshlcKjWYXLrwURKyNfbb5t83/f1bHdNa8Q13uXutr7/9bcdvc4lvS4p+W47Fn0SJQcjkuFgoyegt477DjT1BwllxipBZYQ0ObFlvLe1+n+pssxm7dnNXv1cgRKDv9pSlRmtJ1+5wzvPFl1d0fZ9INiZBaifLE7QpCD5yfXVD23bc3Ky5vBy4ufVYu2Y+H9CqYLff0/YDZ2dnxBAZR5tRj5SIxDh1ZAwMbcSWBpylMoqtl4moJQbMTFKXuUsi7+Cb2rNc+UyWFDRNc0ie/uxfzNHacH62ZBxHLq+uWW/W2DH1dOtmQZ1tX02hOZ3VjH2LGzrGfo2QjqYyh+SiGy0u3onbaK1xeQdSlmXK6H3aVUlIqnemQUpzGITTwnSMCkwJwXHQf3hMzNvjYD1Bn5Pd6nR+eu7pcQ8T1uPXm6yPp/OP/bz3u+Ax07hvXEym5GaCcaef9yRw31igUgcCGBDQjxFhHWIImOy++atff4YPI1Ib/uGf/gGtBR99/32apqZpaqTQFKbkyflThm5Lu1ujmLOcl/ybf/l+Jj5GXr1wbDYtL14mJEIITQwFdvTs9y1hTC2NhZAs5w3P3nuX3c01u67Dug7rHaOzrPueIQR8UdFH6AK0ty02QO+vEcMXqP5TytJgtKKqSqqyoCoLllmDYzFvmDcVTVWCrpMoWblCiQQ6r/sO5wRjrA+dD20oIAY8ii4aChQXzyrKWYMsDG3Xsm1bRFFS1DMqwCuJNAXClMQQsaNHaYO1jqvLzwknJ5T6nNm8odKG8M5J8hnwnlkV6PZ7bq8uaVYzTmc1hUs6JnVBatmUoI5Me6S1hHGk9xElJGVZHXhUY0wx3QeByz4CQSbzskIpnNMEB8a6FDrzhia5Mr6J0k1DlRjxowUhCDptiKSQDMNwcIcNGW1dzhfJGv79D5K7rXWs12uEEIcS5clqxWiT1fflq9fsdltihC8++QznHcNo+dGPfsxqdcL52Rn7/R6BYBhSqUFrndUyO3798a8pBHz/bIEpC0xRUNZN4iMohc9tjHIShMGyu71k3IKbVTg7sNveYoqSoih48t77CFMQtebFzQ2dDZTLMwISF0Xy8eDtgfKxBOFt8/pr57tIyNtDKOH+1/NYUI5fc/vjQTzGu8XoMSL0tG5Oa8y0ZsL9TrDjNfObjj8NBAGABCWJkPrCfcgthfcsQI+uK2Rp1HjXPkdM0FRRSKpSZ4/vFHy325auG1jfbgm5hccYnWtoiXcwDAN9Pxwy5ckox1rHOFqGIbmn2XHA6CJ1PGh50EdQhT7UebX0BG/puzYRi0jy0MFopAxJE0GJJE4iJKEwqKjQGRYEDolHCIFmVlMWJVVdM1pLNwxsdwN2dPjgmNmQzHGEQpCJj0KijcF2AedDClBigvSTMNUwDvgckIP3adHJi1oabCptYnJAP+zy3zIZj5EAeHy3/cZ3+TVowMNd//GkeHiftxEVH/5++Ps71vQemxNvQxTudzJkZbgI3odkQY2g6yz7tqdtB4QKmCK9z7RxDMRocT5ipEYQKQtHsBYvHEZqCi1ZzhTBC7wTRFeidWSzETjv8dl62AePcz3WOqKLFHVNUZecnp3S7jbY1rHvO5x3jM6xbfeMPiCiYoiCPkBrI6OP7EeHGHvkOKC6AZFLbUVhKAvDoqmpypKTkwWLWc2srti1TUoe5g2FlmgpGMdICBJkhSwadFEQ1WQDnGrPXkikduiipKhq2nHH6HwyAcrcuBg9MThEzEz3SVMljDi7x9kCZytiVEgiZQEySkQU+EWFEp5up2gKSVOAxAIyzScRpg08B+J0zFlAPJLHnaD91KCXug5kMoYSUhGnUpFPHe+T9LQ4dMCLtOCI+x0/xyNrGk+HeRDjQWAuqSzKO2XMoqBpGoY+ecW0bZssm/NGRkqBManNtS5LXPam2O92mSi75/mz51RlBdM6fFiPI0pJfEhGTt45hujZ7iWVdxTeI5VB6YjM5aLgPQSHiB4RfeKqyEAvEmdlv1lT1TUx1MlMT0TQSfXT29wdEwWjBxVCQsF+CxThbbd9bVlCyrxMPJRfvz/vYzxeAyIPk4CH93/4+2PX8FiCcJwoHHOcvokn9bbjTwJBiBE8kZCDcqrNJsezyaIBINP7DwHKOUfX93Rdl3azMaAkPL1oeHIx5/mTp1g3sN2u+cU/fcH19Q5EpCgVZaWoTpM8clVV3N7ecn19g1SGGGG5WuHDBqVSsHbOsdtvsKMjOMflq5cIIahKnSccPHv2lMViwdOLJ2yvP6fb3/Diy5vcalVydtogpWIY+iR2IiKm0GilESImdnT+8p1zbLfbA8dA6YQ2mKLAx8i+7/j0i46hdzQlFNVI0QxoZWj7jt98/jnPnpxxsppj14LRBq5bz7NTi5v7xOwee168uKLtIBSKcRwPbU5aKtAlhSmQUt+D3I9/Hh/fJhn4bY6HQf+Pk6h+82GtTep1R+/1GDWZvj+X4V/vfe41VwRkIt9GhxQabUo+//ILbte3EAyIhEb85Mc/Ybmq+fB7FwzDlr7b0u9uCXZHdJp5VbKqCmRwSDo0r+lGS7DwN3/1b9nsTilMy8effMXr17dsdwHnBN4r+sFCEDx754Qn757w/Z98wM32K673I6/XX6akgsh2sLgoKeuSboisW0cfNS6mVtpZtWBx8i77fYuzlrbvMC5iBscXL75MO0YiMrcmN6VmtVrykx//iOViRlNXrGYzqrJkuTijXC2p6holwXvHMCRymxOeTfeSfvAMQSLLGVUlWJ6dUFQ11WyGBwKREHpEUEnAKYwIP6LoiKNg2Hta2aKEwNsebQxloanOG/yy4GxVIl2H8Ml/AnIdfIqNyAyfZ2a9VAiReA7jOCCkRog0b6RUSJkQvYjAAo6Y7exT+FAyKQpOC30MKcmPwF3OcSQaljcfAExJQQ7YCcUoD+hWURQHRK2ZzZjN5xRVSdd1bLdbNpsNQgguLi54/vwpP/jB93j16jW3t2t+/vOf07YtbdtyffkaQgrWwzjSDT3eJvnsQmvKooB5Q2EUY7tn+/oF1lYUo8WFjL6ISQAqooVDiYiSASESgrPvbxn7jv32FjdWuLGh2z2hlopqsaSpijQOfFJo7EdHRXoe+PoA/7se/6WsOcfH7/Oa/iTaHGPOn0NMWu2H5EsmkaHp9mmyBCnQRjObzYC0YEupmM1r3nvvjB/84F2ePllxdnZG17V476hriTGRyysoy0DjoO8tSvb4AK9ebvjqxZb5XFJUhuXyhNUKjCnYbrcHaM5og0DQFT0AxmTnRmvp2x2FFkS/IoakxHZ7G9Has4gjZVlhtKTrPLiIHQW+TMqN2/2OaTuUfN4tXe+xNmBtwJR7fIR6tsCFSFHWXDxx2MGioiXGkc16TRc1+25kHC3jODIMI/vWEYeAHMG5hCAEkT5P7wNaVYiyQmmDEBLvA1KoTBBK9s9SyuRJ/8j397bE4PeVLDzWnXD8++87Mfmm4xhBmF77YdvR8X0OWX+MuOATKuU8LoD1sN8P9IOnqucERqIYMMpglEbGgJaRUkO1LCm0Zl6lEla0A+3mBhEVlV4gvMBEzX73BTEo3n9vjhBnzGeS//Sff03fW/pBEKOiKht+9Ofvo5Xg73/xH7htXyLLge//2Xu8ev2a33zyMbshyXhrPIOXjE4yeE0Uhnq24mR1wtnJDPH6MlmTB9BGY4xGWpdh4JDleyFqTTtEfvbrz6hKQ2kMVWEojGE+rzk7PWUxn7NaLigLQ1WVzGYzKq0IakdQ4JVlHNpke7zrKQN4IdGFzu1wJNl2a2maGl1AY0AzEsYdLmutq8wfkkAII+CQ0iHjiPT9oaMqARGTWI5iUgeUUmdlyuQtUBSGieLrYyrheO8JyORIKBRRpE4ShEAeWrkzCnC0M8wDCyHfHPfTWEv/skBRPq+yjfhxuS/kpAPAGHMoyQ19j3eevutxo2XoeoaugxA4XS0pTf5+jEYJcOOAG5Nzox0HQNDKeFCO9W4kRn8EdUPwLifDPu3tiKgiSeWr6BFhJPiRbnvN0Hd07QZvK4Idabe3yLKkEjFpd7jA4Ebc6Bn7EWMEb0Hqfy/z+/7fmYbwgBoy3Tb9fXz723gIb7v/8Wu/jfD8hzh+DyWG3/4Cf+v7kydH/kmeROlDTOdT4nAnxauNYT6fI0hmJVoq5vOG80XF97//EU8uTlktk7tcP3Q0jaYsBdttxI4R8PSdRQpB2/a8ernh8892PHkGy2XNkyfP0dpkZbI+S9lqqjJpkxdFkjtNfduWzlu6dkdhJN71BJc6FjabSFFAUSS9dKVkrsel3YjzDhkDu/0+19EL+r6nHyzrXcBasCOU9R4fA818iffJIOriScBbS+hbejey3Vh6Ctox7VrH0TL0Pe3eE/qIHMC7JIOrptpaFBSmQFc1WhuElAQfiToDZZlBLGVa4I6Lb49B+r+vgP22ksFjCcIf+zheyB8iHI/9m27zMeB8zPoHHm89ITr27cDQO8pqjvMt1nmkUMl7xDsUAamhqUpKrZlVYPukoteur4leIqpTCl2hVclu8zmmmvPO8wtMEZjPFf/pp3/LYFv2XaCsFui65Ad/9i6vX73kP/7df6JQkbLSfPjRBwxs2fzsNb0VuCCJzuJFiRMlg9UIXbKqzlmuZjx5VtINjig1owsUhaEoDKofQaXOBSVl1v3Q9OPAlx9/iZQJEBQxorWirkvOz85ZLpe8/+5zVssVT58+JRZLRFHiZI2TgSAHxjAmsmY7pHq/lDSiTA6WShx214UqQAaaIiKiJViLGzxCq4SMQYK/w5CCWRwRfkDYHpEh/DCpp0aIOUGQWhNVgZQKZETqAl0aXBD4kMTLXAAXYjItQoIyCKVQWV1QikTEjrlUEWMK5MfjCiHvjflj2HjiOqUS6zRPJTrX/FPdPJUiXEjkiKaq0xpWVeyVZhwG2u2OLsPVMf9bLRY5QdBUhUYRcWNKJLwdsWOfysDRHpKRVGZ195KTpKuSygs6AS8oNJqYWj3dSBg7trdX2KFj6FvcOODtSLu9oZjNgYhRMpVn+xE3joz9QCUKhHqcr/HweOz23xZ1mMoM0/MdB/qHtz/2fHePmc6Jt97/IVr7Tdf2uxx/9BLDt5V4fPgYjyeQEQQpEEiiyCpuIRyCldKGKDWqrKkKw+r0lO3NKbLfUSrBvNRY67m53nB7dUnX79nt1kipWCwa3nm6T/VSDUPXYYeB3b6jaz1VlWRwBTLbPye4t2kaYowZsgv44KiqVOsXMSJmJaWC6+seP3oIHSGMxOhYLqAsJMu5Qas0KCYHuqaZUZUVkTSJynLO6dk5UUpk27Eftgf9qG4YscHTjZ8cWiRPTk4oFoqGU756fc3u6pbN0IMyvPPsKd72rG9ukSKgDBgBXbvj6nWkmi8wRcG777/PNtaI5oTlckVV1QTAuUDwHhciUUi0qYgydTF828D9nYO34NGF8bhj4jjTfsy46Q95HPMwpnLCVBN8SByayJMuCobQp7avANt9z3bbcXO7p+uSRHEVC0ChKPj8068oioDt59RloKkCZ82CSnuEXRPbnrDr2L/6jGAhVtc05ZyqnGG0QekB4SLnq4ZZveLDD09ZnTT0VnFy/pzlySmdvyEWHe98/4TlvCb4kf/X/+d/ZLAD73x/wYcf/Rhtav7+nz7lZj1wtd4iSHbMr74aqIunnJ0+RUpFXTesViu0UtkF1dB3HdvtBqEUSMl+HADN/Ow53lmc94xdSzd61n3P6/VXSPWKn/78U8qyZD6fsVyuWMxK/uLdgsW8ZnWyZLl4TmMUUnkEnhAs1iaovRIgRUAKj9vfQPSUogcCIkSwlhAUwRe0IbILkb7rUjtkCLC7IbbbhCCEmFsJBXH6lxGEKA0IRVQGoVJbpTAlQmlMOUNlN9VCaRAy67xYvBsJYyqdmpLDNnIK9seHlumz1FPHhJSM43hvfEEqz8JdW+NU3hIi8brIHhfXtzccANqQkp9hHNnvtkkjwnkEgvmsSeVTrXFDT+8dzvWZ5xDSjiUGnBsIKnVwKaUSr6qq0vVKlROEACFtxDQCFUly1f2ObnvF0G7Z3rwi+JHgLd62uLHi+tVXaFPw5OlzwhAINtC3e0brc/uuRHDfev7riMm/z+PhLv/bJCAP7/e2x33T6z5G1P5djj86SfG7XHiY+AdTMUEIEmmRI22E1D4jcv2PmIhXhcmaAG5AiuSTsF5v2UuQOEbb0fd7vE87mcW8SJBbjLkFytO2yQRnPi8xJhFMuq7Lfb+ecfTEANaOSewoixdpJZKkrRZEcwdvOtvhQ6phLuaGsjQs5hVVVSKVoqoqtE7tRkqrhE6YgqJMJMSq63EhonVLJNkEK52NbIYB6TxKOopqgKJgUWm0Uqm3vh8RQFUWDLm3uKgMKkRM1k3YbjuEKUGXzOcLRmugKNHGIJUGUrY77WhihKQd/yYh8LHkYDq+a5IgeByJeNtrPDz3xziOCZPHpKF7O0COPoMAAQdCEQi0fct2t+fmdoOzAAIfI1p5lIpsdztM4egvNDIEVPDYTiOdIIQR31uwFhUs+IDvdozWEYcBWy3xwVNVFdIk9cYYLFIGqrri7GLFYrXi15/+Eu8tqhLIKuJ6y5evPqGZNbz3wXvMlwVSaZ6/c4rQWzrrGZ3DO0fwkb7bslmXdF2LAOrlAqUT2jSfzxOUnX0BpExW6TEGhJB5M8Ah0AqR+DfOR4Z2QA2eXe/Yto66MqhRslrOuNhbLs5XzJqSuhIUOlIYQUUiJGuR5dhjINoB8Bh88g0IAT96gpD42Gep62QHn4BLRRx6yH8fOpKOEwQEUQSCSCqNQTiQI3EcUcWINIYKgY4FhcwJrVTIyGFDEaZEN+mWA1k5FQ6+IJOr4jQXpmMiJt5HrsLRXE3r76S4KKUErYgCxnFMj43ZGTeERPxzDmeTNwIxfXZTO6QbB4KzhODueBHR5/cRkqGUD6kVlAn1DaldO04JggOZFERjiAQ7Yrsd7XZNv99g+5YYHSJvEL0g+ensd4ztDmdlsjgfR4LPyEuIBHGnAfFw/h+f/7ZkxcfOPfb4b3rOtz3vt3mOtxG2v+41fpe174+eIHwXBMHHxPt1IeBjCohSiuykFQ7cBC2TgI9SCtv37G5uKMqS09NzbrqOsduz32+5fv0Vbuw4O50jZARSzzDAs6cXWOsZxknL3LHfwcXTOU+enrDb7xjtyBdffMEwBIYh4Fyyi25bqCuoSpg3sFyUfPjeKcKkiV0VIBjZbC5xo0cpwYcfntE0DScnJ4d6Zlk1ucaoMgkqcn7+hGY2Y75cYkNEmYLdvk9W0SSTlgisd1v2naXrOi5vd8wrg3p2ipaKi7NT9v6GIBLxUc8aaEpOK4HGosYNw27kyy97PILm9IzTJ6e0W8eoNFKbRNKUKtmrBsloPdYHPCQ29teUEf5QJYbHsvWHCMM/Bwfh67oZjq9LCIFM8m8IJYne8+r1S66v97x+vUsbsigwRjFrNLNG8/rVFWUZ+PFH54xuwG13fNXfYFTA+J5F1TArSp7MSkZp6ddb9u014xjoXm9YnD2lVAVRW9pR8MVnHzMGzdmzD3n2zhPmqxP+r//3/xtPnp3z3/8f/zvG/Ybd9pZffvFP/OVf/gX/6t/+Of/4T79iGAL/zX/7v+XTz15T/MPH/OznXxB2I6Y03F694PryMwBmsxnPnlwkeXKtKZ89pe+HOyEsKbHO03Ud7b7F+dSlUVVzqqKgya6LMUbark07ehfYWcF2GPn4N59gJDRVwZPzJatFzY8/esazpys++uCCs9WMea1pjCe4Fm8HGEZEdFQiYP3IOA5044i1jnY/0HUDXT+ilEYbw2y+RPkRJVLAFkIlIaRsE5e0LBIClJJCjw2JJzS4gMwJdtXvc5tfTV3WGGUodYmWKiMsgJR4XR64B8eIFOKOjA0Q82c1oVWQ+ASHz9UmPYRjkvE07rTWeAlRilzKyEiFy8JybkQqwaxp2DvL2Pdc3txSNzXL5YKeFIRNUWAKQ1EatJJJ9Mh7REiog9ARosCNd2q46ToiRpJdICWus9hux+bqBTevv6Tbrql1SBotOqndxDGwub6kKGuuXr+gFxVDUIz9QBQarYvU2cDj68HXbVq+y1znQSB+WwLxTYH965CHh+XItz3f77vU8M+CIHwXzkIg1WgPJQYpiUddDAHuanJJ6ADnA1IqlDaMg2XsR8a+Z7e32MFR12MS/CGkn0LS9xaR1RCV1HnhTr4GSil8SHrjdgwoJZnN0o7ajoHgLbMGmlpQFpHZzPDk6QXtfsPQtbmm71HK4YiEcNczD4lrETJsOYwjbdcfLGuVMQSRgrD3MTGklUpkx+AhcwGqekaIPc53dH2Syu3bFlPPqKoaERPSsb695tnTJ5yeLNFuh/QDSlkKoQjWMYwDsW2R2z3jqAhl6qKIgFQaIUAQGJ1ntJ7ROqTKuoxfU144Pn6nEsMjKMLxZDwuN/w+EpLf5nhbKeExYuJ0/ygjsgg4axncwNXtJV0f0EYl8yKfGO59tERr6XYWGQSlrFA4RNTJohtLGDuKMaILhxw9ygbEaNHOgwfrNaGP3L5a09o92y6gRUHZLDg/e87HH3/Brv8115sty/MTVFny8cf/xM3NK/7sL3/MxbMzrtev+c0nv6DrLD/84Z+x368Zxz3Pnpzx5EJTVSdst7fcbm5Yb7ds3cAnv/klxiTjoNOzc5TSnKxWSbFPa5zzdH1P23bsu55hGJJfQxAMLhx27C6LD0kz9XMHVHmBEJGoFYM3bDvBx5+95uWrV/z6Fz/jYqVYNJrvv7fibFVzflpjpINoGbod7X7Lfr/DWneQSXc+O7NWdeq/NwZpQAqDyhwQKdNPEacAnvxMpA/4XBbQQlAKeejEcr7D9z3DuGPUBUZpZmVDZQpURurA4GJ1N+QfjOHI3WYrJQ157HmfyZjiwDs4lLx8SK6VzuWSbEK5hhjwTJbNyY8DUoIgQhLO0ghk8NjCZJ8EndQMfb4GOxJlJChy0hSJzqW2SSLeDQgk0k2+Dqk4qmS2/s6vN44tQ7ejb3e4viPYPm2Wps9aps/adnv6/ZbdZo0vAk4YiCHZR2dzKO/vJwjHaq3Hn+s31fS/zU79t0USHjv/8Fp+l7g6/f27rnt/9C6G75IghBgQMeBzkUHIxFAVUhwIjBFygkDuKc6QnNIopRlHSz+MjMOY2P99oB8cSkYEAVMahAA/2iwNalDKoFREiiFPUJkDeBp8daGo6gIpBePoGQZL0whmjUCJSF1rTk+XKOHQMlCXCmfH5BApshFl/gJDSDVO79MuoG07rm9u6HpHQHByfpr5FpGibBA54w6IxAeISeGwLGusC2g7YndpoRr6PtvPaiDmjoqRD95/lycX5wxrDxYkJZUW4CXX+xbX9bDbYcUMWSQFx5gnKkAUEutCQhGspyjTzgq+mUT4u2XvCap822s8RBL+2MfUcz4tRvecKI9KDhOHJRFvI8okYS3re9bbW4IvMGaJEHnnGGEMHj86htZRaY2RJYoREQ3YjhAcsRuwLjIOHm0l0noYHMpFRJRor4k9bK92XG0st/sRGQxVMWcxP+Onv/gFn3z5Fd3gCCTS3Wdffcnr11/wb/7mJxRG8vr6JV989QltO7LZXrPf7xj6PWen71KVC+bzC169Eji7Z31r6fqRLz8f0dpgMgN+Np+zmC+pmwZTlHT9QN0PVPWAuL0lIuh6hwtJlnf67FzIgU8XSK0REVRxnvvi02cUeke3vcEPa3x3ybwYWc4U3V9/jx98+Iy5eReMIwbLbn3N+vaW9fomtVEjUaZEyAKhCgpTUOYEQSgFKqJIRD8tZUoUYoLkQ4gI58EFREjoplAKVRgGO+K8o+tSh0CwDicVRipUM0OWFWVoENTIWBL04lBieGM8TyXXeEdcjBO6+hhKNT3Ge7xzh911CIE+eDxgtDkS0RHJXC4akMm0SxNxo0GL5ORIzLyMmEoqwZE0KjIBEj9m7obHWZAoFJOGhc9+M5M9dCD4gO1bhm7P0O1wY090NrFVkQgVkVEhYqAfOoZuT7vbIhtN0BFiWv+VElkd9C7YHq8Tk7Hew7Xi28alNxKByJ1OxXSO++dSaeXwDNP/7+5/7/Z8n/sKF994Hd90/rscfyI6CLnNJ4QDU15IkRy+YjyQcISSSCHwUlJWDcXFU+QwIK3Dh0jfj+zWe6J3SAXeRVz0eO9Qo0VJRaMXFLpgPlsQokDpERcixgi6bmDWzKnrGatlYLGcM5s3jENHP3RolcSPnPdIBV3b8snHv06GNyJwspoTY8GsVgjR0baWm5srrq/z4BAJmnM+0naO9cYyOkCCKVvGymNDZFXURAmDdWx3I5vdSDteo7VCG5MmrdRUjaUSIjF8vaVvW9zgsUOkG8COyaI6kWfTQvP07JxZXTB88hm37cBnP/sF7/3Fv+H84il1PcOYgiglbhwZ+jEJR40W6wLmLQPz6xKF73IcP+qxEsPxxD/+94di+r5xfQ9KGw/LHA8JlCEEorJYZRl9j/Ud82WDGw3RGaraoDVgQYmAlJ7T1VNWC4WhojJQVopGlgjfYQWEtmO/3hB2Fjc4+nXPyeyUum64vLFQWFSEz3/zmk9f3PBPn1+jmtd88pXlp7/5Bbfdnv/h//x/oWo0v/n0BZ99+ZK23fIXf/XX/NM//h3/z//x/8HF2RM++vADyrJgs77hZ//wd5ydbnn27H3+m3/7v6H//vtstj/kH372M66urvjkk0+JfsAFy83lK8Y+aQ5En0SOyiIFKKRis90TPAzjSNIWSG2DkNsbpAJlkuAQgqBP8/friWOHjD1yABU0SiSp51mjUUj6tuPy5WvazQvs0NLtbpNFet9yenae5vdsTlHNKKoZ50+eo02JVJrbcc/e9khAhIj0HhFy3TsLiU2dASEkJkUSJyOJAmmJKaokeBQ8KicSwm0Zxw23m8AmALrGPhFIldqIdS4XTAZmQghkJCc0d8JISuq7RDSvl0LcSahPiavNYkjee6q6QmiduAbO0rV76qKg0MntMbV7RvrdjrHvUSEyjD1DPxLcSAipLTsGTQgDpS/SJi6GVGKIgegCAYUUJTGjB1oZjJRoIbB9Rz+23Lz4nLHb0G9eo8KAEj4lNQlDSCRxkRwg7dhh+5ayXqGVwAgNKs0rOyVrR/NvEnNTSr2xUf2dygwIxL2lRdxvQhDiQXx/zN1VcHwJR/Jad4/hjr/0XRKb73L8aZQYpsfBHUnx4KITprPpSBh3Ju4lP4OyqlA6+c533UiIEaVEkj/NXQfej4A4aIdPWbSAw8IVQqBumgMZUAiBzwYlMQbKUjMMSQp5Nm+oiiR6NG8K6rJmNmuAgDWKrk+aA/t9xzh6+j4ideJWKA0xyuTjXibSZZENXJxLtrQhQN87ut7TdRGlLdr4FKSFTBrpxmDE5EHhCdjc6iRRKmLHkX27oxIy+aqTNP2VSp8bbeD2tuMjU7FaraiqCmUKLEmBzx603sODbPhxFOH3uZt/LMF4+Dp/7NLCdEwQ5jdBllPZQQiBV46U6nqEhNXJiv3Ws1s7YlQQs324NlRlia7OWC2yHLiOGOXQDMhokLrEMmJ9xI8O148MuxanZ0QdUBRJEGlvub7Z8ur1FdvNgBg1vrhis+nonQOh6XrL7fYVuihZFqfs2o71dsvtZsP3P/ohZ2dnbNZrtttNUgVdOKL3OGsZh4GhaxEhKQAQkgCXVIK23RGCxxQlputRRYEpa0CkYAiHcpsQWalzSg6YnP+mjYPAk4zLhEqBN0aPDxIlNEVRMZ9pFnON0QXBeXabDdubW9y4J9ie6D2F1jR1TV032fJdTfs/0uUHEBKMSfbtMWaV0Rypw4SQ5ngg02Ym5oCWneVSfiMFMsrUzujJgdQT83wKPtDu98i8FhVZ5GgKcIfAR1JmPIwleRc0jtGFiW9gjDmcP9ZAmDqDEo8ife4OQfA+dZ1IhVaaoE0ydJMSryQ+7/599ATv0qZLJkJomPhhIa2JgohU+fMS8RAAYwiMQ0/f7rm9vcZ2W2y7oVaRQkLULqtPytz5oIhBZEffVB5WUqL/f9T9yZNkW37nh33OeAefYsrp5RtrAAoFEA3K0GyjqIU2lJlMC6m1kDY0mv47mRZaSiZSWqipbiN7YJONbqAB1PjGnGL06Q5n0uJ33TMyK/PVq0KhyL5pkRHh4X79uvu95/zO9/cdOHixyGfzPsj97e+Hv79rrPi1rQaZlN6LBqipOHhHQ+Edz/Xux6jDa7p3HL+vce0/DKOkw8le8mQmwkEkPRUP05sGRzitTKSdumkpyxPads5VueLycs9yAU3jefToMcZKkXF5+ZIYEovFEuc8SolZyDCOVFUjF3lKnJ6coLTmxauXrNdrhqEnxgFjNctFLZK2lPjss48kCe76JWdnpzy4OKNtnAx8MVK4Qektl5d77u4Kr66gqgq+KlxcQDOruHi0pGoajHEUZdju9tyu12y3W8ZQeHnVsd0V9h1oW/A5EbIkqHnjaWczfEmM/VpsY528buUsuMBme82XX/b8yfc/xljoesMYAn0Pi/mSq7Xm5csti/kFH3/8MavTU5L2hC7RDyO7bj/FXcc3Vsvw/mLg76NIePsif/sC+n0jCIdV3mFVd98f/XA8b+dTpBIltEhnfG34wQ+/xxe/fMWLZ1+ShpocDamHRTvj0YMzzpZPWM4Mq1mLwWByRsctOitq19LbgNKBlMVDYX11h0sOgmVx8cd0yfHqxYZffPkVf/3VlxQekseem+4FqRisnfFv/+JvGNKO6/Uz/pN/9GMePFjwz/75v+TFN1/gnOcHP/ghDy8e86/++V/w/OtrSsos2pbaen7+k5/y/MWXfPnNz4kxS+tkGGhnM5q24dWrV+QCNze30gZ0nk++90Oqejrfi1xvMUSUztiUEONp6W+TCyke2jSKmCzaOVxtMclAtMT+Bl8ZVrOGjz484XzhWC1G0nDHy2cv2d6+QOWRk2XNcrlgvpjx6MmHWF8TEnRjYrvdYfydHBOavKxxsxlljJSUKaMw+LNKx3aA1kpgcwUYiDkxhgEmrb+fjKGMBmelYFB5CjyeoPsxB15dvsLYyRJ5NsN7fzyXD+cOSLl0XHhNC6Q3zrnpfDs8/uCgGGMUxUAIlJJp60amrRQJ/UAYRH3RVBW6aeSxxkw1kkHrGk0hRs0wJEiZWBLkjBbnI2JOxBynQs+h/Ayl5DhLFk7ZWKK0eG5e8sUvf0not+i45WxRs6g9vga0Eh+JWAn/qphJbSHJp9Y7quyJRTGW1+qhUsob/J8DivD7nGR/n9v/7EiKOQlM/eZW+NXjnMhZufCueupbnyMHchaVgUIdQ09QB+exQhwTQWc0mmq2IBpHHwN6McObwtknH3Dbr9FfKEyj0BXEssdg8VaxagzJg/UJZUYyiaIjxsHyZC6cBqWwzpNyYYwSFlNszRAieUhsxx1DkDjTwTUYC309Y+Mqcb2bLRjHnqu7W57fJm6vNXedo0+gfSJrSCisn1PVLbN2ha+kqLi9u6XEQG0Vm9sN+y5RQsEbMC24CYHVGkrJxJTox8BIplUw85a6rXAzTcyFLkRmsxlt01C1Ho2j2EdErVgDt3GLWcz5j/98wcXKo4c14flPUMpShcJiv8d1PZ/VmS4ZdrnCmQ5TOqxxR1hUW3tcSSml0ZN/vdYabeyRQ3Kc7JGerspKOpZZDJsOkdNKKTpbcdmcEBGYNSU5pw4D5eE804fefYpHSFapgyO3TDVMYNR0or0xsJRS0C6CnvqBRc6/ghhIyfCkjl9SoupjwVoOC0sm332YilrpywKoLHCkyfAgL1H9Hd0w4vLAwvesTvaMYU8pCqMsjx9XfPwhzHSidTCrC3FfGHeFYeOwytHOnjCOV9zub7jdr+nTyH71gE5ZVFexHxvu+sQvvrnly1jTNQ8Zo0c7S9U6bBIS2cuXz4g5MMbI9joy94YPH/wxp82HPFx9n7b+kP1O8fLlHbt9h60K3/+DC05OFnzxxb/k8uXAzatE01SUpEkBKltxtlzy2ccf0vc9f/03f4vzDdYo7l69ROmKXDyxL7T+hN5ZEoUQ9XFyCrmnqIKyhWJlRZnyY7IzFJ/R4w22XLOsf8mDGXx8ZvjQ3jILCvVshwoBNY4sjMe4hrZu8JXDeEc33qHjHTGM5JCxsWDLHmcqKtvQxYqhc8dzyGpDzIGc0xR8JZPObrcjhICvawnyVhKtXWIhH/hDxtInUSmloGXCMwpfOTKwjOujjfy418ReE/sKN+XD1I2YlzlfoZRFGU0u0obR2qKVQyuLMV7OS+0wxRJKZCCTS4AIjogqI3oqMEopWPJRKZFyZh9GaaMYjV+upKgYR1IuRKUJMaImdCShhNAc03RdaipjyWj2saOpPLW3aB0IY8/t3SU3L74Wv4PhFkegqRW1A2sKKTNlv2jymFE5MihDlTVJOWJSEOX6zzExDgFjKoxEPqIO/8o0hmQpxEouZD0hGQrUhLzyvsLh/qLj3qyWczrecFj9c1y4lOPj1L3Ww/3gpbee5A20AO4hC9Pno6ZR6HA3hZB31WGRXDhmjRyHpwPUIe5b0uL6DtvfHUGYYB55Ib8Gjvmtn0IywDFa3uQ0wehKib95kgIh2ULW4CbJX+4c1snkuXrygPn1c/zSonUBCzEPuJzQWBqvKFlTbATSlFEe0VYxmzcUpSlKJrWYI2PIpKLIyhKKZgyRbdeTC2hj6LXHWcXgKrbKYDI0zrELI9/s91yuC5s7xW4w4mRm0qTG0Fg/w/sW7xu81eSUCEMHQGU1L7dbttsACSqrsF5hvJIIVKuOK4hhDEIeajTWO9q2wnoZfIaYxIipaahqJzrkpmYMkTFEOjVQLT1/+OEpJ3OHCXvi1VdCKkpQD8KKdy4zNJq+eNSwRpWIVzVGW/FdsHLx5Kn1gdIYZUT7bRyl3OsVThOsniZinSb2stLTVDyt0MhcqlMKYpRFSdOFcT84NstibFKGiEhlEqUpRBI7/XyECXOUVU3KE5GqgB2QivRQDIgBi+zRTt/lSxV9eObXBbJUBVI8HBAvCqVIGNZhMGiyZZla9sOWMhSMHWjdwHIe6PNIUdA0FQ+eRh5/DLbP+ALeJkoBNWr6tfjQRXtO3yt2veFmdIw5EWaKXT+wHxPr0XK5i/z15YYxeUJ9Sj8GfOWYLTwlRAiR69trCgVtFLu7wK7OfPDgE05mT3hw8gmKxGZzx/XNjhRHfK158uGKxbzmX/73f83dVct2fYLTVq7HCJXznCwW/OgPvsdms+HnP/n3eJ1xBna3d6RsGGOFreZ42+CdyOWGLIRJpQqBEVRCWSniKY4yWrJRFDOi9Rqnr1n6FzxoNR+vKi5MwcXE9nqDSgaTHc3JGdbXeN/gnEIb6McNpQTysMVEcAnUOGBNTeuXhOQZBot2kp1R1zVjkgJhZrW49ylNv+0Zxg7jRE1glIKchDyHuDvmLJkVOcMYRTapjYVqhjGZdryeWoqJMAZiKYTe4H1FqCpggfc1ziyEsKk8qlhQBo2XIlgJwVBYBJaipVg1OGIBcsLmgCahDmoINYWwTQVCpjDEeJRNmnZGHgNRGfIwiPOnNtM6QJGYiIsxy1WjpHWbgCGM1NpinYI8EsKOm6tvuL36mu3NK3TcY42i9U4WP7rIcF+AoghRuBXJwJg1STtSBp0ETsgxEvqeqq3eSCxUqOO1eH/iLDkJr41Dyq+Bt6fo97QyD5sQNl9zA1D3+ANTkXAsFqZDeP/2nnnzgD6Ww33UG/c91ABqgtRf1wXl9eMPK5apoPgu238QJMXDpo9Nmddvzf3VXp5Yw7HId4AQhET0ve99H5Mju+uX/PJvfsbNesuTc7jd73i22bKaeazVjPvphE+ZIcQpXtRinUcbxxAjXbfj9uaKzT7S9Zn50goJci/vv7aFyxc3GJu5vbthfbPGOcOzr07IObLdbbi5iuxuE0PfMY6ZfQfV0S+hIsfE9atLcgkoXZjP54D0ZbXaAlB5+OCjcz757DHKCrJxt9mx2e3Z7TpOT2tm3vDJUkJw5vM5WltZEQw9vq7xVcVidSKreaUFnCnwg+/9cJJ2OmazBZWvGHadpLLte+Ed5CIWyyljlMbZCoPD+wp1sFhNSULtKChTjr4TJWXGOE5w+2Qwg1xPCXkfMlOh8LoTLN9VZJnqqdcoBJ/pbOBw5eupGOFgnjX1aZm4LGOcHjtN+iiF0R5lNboyglhoRcjXFMJxv0fcWNaFvHbsf11AHC/GCQ6fMIcJGS9vHakMMGHsud1uiXGAInLHyhgerk7AKWzlRJa6XHE2X9J116R9z9V2zYcXj3jy44/5F//kv+XZV1/w//1//394+vEnPPrgKWcPVmz6ni9evCAqyEbxy1/8gut1x82rl7iqxvuKR08fMV8uePDgAbd3a7a7PUopxjAwhpGf/+wXfPH5F/zilz/j4cMLPvn4KT/9yV9zdfmS7abn0cMLPv3kI/Z9Zr254vmLG0rU+EaxH9fkPKJU4MGDFX/4o8/Y7m4wVvF/+j//Y+7We+7WO/71//C3hDDinONm/ZL9mDg5/QDnLTrqicAZMJVGW7FmRhtKsfSqkFOUvJMkBkjzdkZdidVwDAGdE01d492Mul7glycoZ4kuEfLAdtvRj9fE0BO7NS4rXDaEaqC2DaGOrDvDvpKUV+sssamJSXrsY7fHOkfdNLSVofZzjDbTytTSqzClpoKss0c5TUqBFAWlzIbQJQRYqLFaUdUG1U6uiBN3IMXM5qZH6ZFtNaCtxxhHVc+w1lPX4LVGKz1ZRcMwJoZhFLfBLAquWQtiRMXxOjjwPJRSMK3CZey5nw4oSgCjDcYajLHoQ2oVB7WJFApHZM8YmkqklCln9psN27sbXr26pFuvGfueZWXxk3x1HEfCOEhrxBQUYiJWTEa56fpGTchMIpuM0pa6nYna5LfcyuHi/E73/VVuwNuyx99FS6MgLRmmlslhv28fA7wmPr/NgfptFu2/kwLht5WHfPcn4HUlBLz96RVevwFpkiGWIiTFJInPtO2c5eqUi4ePef7lc0Lfk1GEVOiHSFMLRq9QpCxGSTFmtM6ULCEjVeXJRJzTOGvQREqOeFdTEHnjwchkv92DyuzWA51RGKNEBlQK49gz9uJAOJ/PCCGjTcRM+65qjyqJoe/p+h4oVJU/xlM7p6g8KKNYLmrOz07IGEIq5KJFix0yddMwrz1npw3LxZLZfAZoUVlYi/Me6z11VaOtlYCZyYnSaMdh5eutlZ5qmqRZ4yiErSLjhzCypb0jKyX5VA4XhZ4+nxwTJcWp5SAovXob0Zs86A9T9wEyu//JxzJi9vp1kTgNbIopQU9rtBEeiTIOrd30RJCLQhSDBzfIaXWlNGUazLW20gJRilzsVG0fa3IoUhSog4/+/QKhqCMicbi/OpKmJpjw3msrRaDBkhIxjhP0WMgxogvU1lKMwmlDpTRqCIx3a7qbO3I/UgcF44hJEa8VWmV22ztC6FE647yl0o522bAbB/ohMPZiIa6KRO1qwDtH7T1N3TAMgZwLy8WSYRzo+v2RiHtzc4dSisp7bm837HY9uWhm8xUfPP2E/T4IN2fMOFUwthDCACpzcrZktmiwTvH81dc4Z3ny9BH9OKC2iUJAqYK1Be+kFZbiANpgjEJnMAWMsaCkdUSe3FXJ5BLFqrgk0BnvHNaKgkhrhcZIUmtV0zQNGE1GZL9D6ujSjq7fkWIPY4/WwrIXBYCVqGpnyE5jtKzJSwyILaAUvHE0pDCgrRTIRWmMsThXS7LmxK4XJCqjMvK6pCyePpOALpqCn8pjg57MmIoSIqtmsjnPipGICgVlEjGK66rwXzKlKliHFMCmYIy4bmoVyFMLTpuJWFvU61P3cG6q17PlG5yfAlpn8XHRZpIqAuQjSfNQ/JSciSRpyRixWB6HyHa7Ybvd0O13hHGcJjUhh5cixRA5o01Gk1E6k1WiYHBq6qcqLUV3LmQlKKVznlxejw+/0XZss3B8zYdFxeH3X1UgvPn7+4qEb3vMdzq0e74Xb8c1v/08b8uq7xcTv0mx8B8IgnBYX96HmV/bmoJMzDEldFTEKOYldTNjN3TEAvV8ztmDR3z6vT/g5VdfofNAUoaIIgJjAm0V81lN2HT0fTdV+pFh2NPOW2bzRsxnNFycnwK3lBw4WS2w3nF2lo4+57eXd4xjYLsdZG7ScHfZHRnZLjoq4/nss4/JObLbrtlt71BkTk6EqzAMWzbrnnEMWFNo2pp21jBvwWhFQnNxNufh+UN2/cAYEihPKYqSoW5mnMwaPvzgEYv5nLZtiTkRQqTZ7VFGo6yhbSZveOtxTtjbMR1yBLJ4vheYXGAgJkpKUIoEN6UMMcpKAkXsosCUxuBrL5bYRZjK3dCTyCijqJqKXCLlYLl6BODlZ1XyNKG+Xrmoghx39810A2jtpdVkPdY3GOfxzUL6kK5FOwPaMKJIWROyRmWE9FQUqWjhk6gpjU854UFI9xR1cMo7cg+kEDiS5sqEKhzQvPs8mwO6IUuA6ewt02orcRhN06QKIWdUSaS+x+REaywhBXQfKDcbNuM1t33P/uoGWxSfXjwh3t5wFzOzSnO6qGlbh3GFogKmkSTEjy8+5PNvvub25ZY4FlRKNN6LFp2EKUUMcbQWUpoSOd4wDGw2GyGcxcAXX/6SzXrPV18+p6kdSlnQNQ8efsSf/tl/wn/9X/9XfPnlV4RksV5jfWY/7Gkaxx/9Rz/i9GJBH7f88//xn1JXFX/4R99js7vk5vYlmT3GGVn91gtitnz+zUuUscxWJ5M5mih7Qh7puo5MFPM0IiWPpLwnK2lB1JWjsgqjAs44aq1YWmnfVX7GphdflM2wYTuu2Q5rhvEOSqQx0LYVbdVwdnLKvFlwNj9jUWt6rxjHUT6zMEjvO2eJX0/C2WiaBuc9IGqp5eqEEkThURJy3mgxIdJFyWIYgfatUoADFpSpBZGPPWQz9foLTgtSGsZAyiO59AxR4uNnsxnL5Qmz+ZzV6SnWOirvcF4xBrHjHoaRYexprFwrEsgkLbn7fW9tJB7budc+CSEECkValiVjBy9kzRQoWU3ySynGyYVcIlYrWmcZuh19t+PVs2/YrW9Y396IUVsuR/+aONnc55xhKhC0Ekk6RuMOcdnGCc8niZLCVY66mdH1QXIhfuOZ5k0E4dAyOP79LSTgfcXCt6EGv1VxUCbFzL3C411qqfu/3y9Q7hcFv8nz/05kjt9226+rtr7jkwDTSkwd+kcHKEv8u9XE2o1aCDPOKCrnsK6CnBliAe1YnJzy0Wffp2kbrr7+AoxjfnaGtUKAilEYt4fxPaXE1fUluQixLGUYx0hVaepa0zYaUhCjIaWxSnp3d7st4xgpEYLY4bPbvoabbY5UFrpuK26NU0+akqSiDj3j0E1oiEyw3jlWyxX7fsS6nn6UBMhxGCCDM47TxUx8HNoFzlfMvKMyFc54rHZQJOTKYKBoVNakIUFSqCSDFSbT7SWhMqdC8V4IhxhUkl6lSnK8KU8+7cOA8y3l4KlPoahCv99TFMQSiSWSckC7yeiGNDlYHqbNgkTLHKDJNFXv+bgKV4DVhRk7KSOyTPoFTY4WFWswjhTmZFsT/QxcA6ZCVXOyclMEr5eBDzvBIJZY9CSnklZRyZk6GyFv8bowkOJAocrEiTkWDBw5QFOD8wi5ymmrJtMvMeeS11ZQh0E5ywCYUoSUMBRqrVFjpqRI34/omNAxce5r5r7m47MzUh+4ff4NL7/6ipvbWyoPp6ctjz445Y7ESCFqxYMPz6jOWkq9Yr0JXF5ecXl1zXa35eWzr+i2G3mtxqC0ZTGb4YwhhYT10pqazW6Ik11vStJCcX7Bi1dr/tl/+6/54stXrNeB2eIhBkdioJ4ZFsuGB49P2W6uefb8JyzmNScnS3yVWW9f8dWzn3F+fsF8fsbTD/4AZVpSFmLt7XrH5c0NvqlxlcNkxBEyK7T1FOXoS5BCQCcsCaMy3op/hNZZCmtraHVNToqu27Hbd/RhZNut2Q5bdsOWkBJGQ1VN9VsupJCIOjCYHu0qGmUpKZL6nv36hqqucM6xrB19H+nXG8Y0kq2laVuUzsS9kqI6H3pnwglg4t5IkSDXmEkOVEXSZxM4J+fFoU2nJ/dBOX8nw6OSySVhjJ7a3om+35LySEyDmFNVNSg1ySIDziWaBiqnMdYQIlKspyiwfRHHVlMQd1oEaXDOHcfy4D2UwugsJRSRmKqpRTHxEkoW7ohSijB2rG+vubu55uWL54R+R0pJ3BmNI4YISS4zoxVmCoDLSRYKAUFrZtrJgsB6mOzfY0EcLl0FQ/wtppkinLoJQThOvO8oEuAeunBvTnufoup3wckrx9Ylx5b6QaHx9v3KW/c7eD/c//m7bH9vLYZvu+03fbPUvR/U9P3ghyBv2tSXS2Iik5IwvpUT7gApEXMAY2lmCy4eP0EreP7llxhlqNt6gsETMQxCmkNOUChst2uslV5bQZNywRgJgfFeQ4pSMWs3XeyGNGZyKBhlGGNmHArDAc7VYrtaXGYce6wGSoSJGDcOHSEMhDAiNtAKayRTfta2NHVDzlJ0iHVyQGsJzqmaFuc8TT1DW1k1WS16cK0kUS0raQdQFGQlKpQsqK1W4ggXhmFCB4qQBq0VJCAmVMoTipDJMRLHwNj1hGwp2k7phYlUEkklscRWZSJRirzLaNCqCDFIq+OHfFA1gHyucotoqNUE03udmKtx4jYI+pNQpGRIqaNoR04jmJoSBoptwFZYIJuKbDLFHEiuwlcoWkMWBULMrzX2rpjXq6lfKRC4hyC81Q4p5UgYohzaCa9bDK8LhzfwWDG3SZIsqJH+eUqJNAbGfsAVsChOFitW7Yzz+YLL7QvWr15y++oF225PUxkWi5rV6Yxh2ENJRA2LusWvWlJ8yPpuxBvN0O3ptht26ztKSjRNjW9afFWzWC4pTpwEfVWRcqapZ4x6ZBwngxwK1rbc3nX8+7/5Ba+uNqSYWZ2sKEnSCavW0i4qFsuGV5cbvvz6lywWNaenC4oK7PY3XN+84MnjDzk/X/HkgzOsW1Dw3K23GP2SZ8++oaosVlmIGV0KrgjhFW0ZiWiVsCqjS8YoSVe1pqB1pKoqamfxytHvA33fM/QdfRjouz3D0E3WzggY5KbTL0OKiaACg+5xjcZkhY6RMg706zWWOV5D6yxlVDC1OaI1qEpI1GUUcpy0ELjXmjr0+zW6mMkpME50ACMtlDS5FB6AKcMkdVRioqYKuUiqpLVaMLiSiHEg5UAhSeZCHCRPRetpXMk4J54wki0xnboTUTdP57CaetoA9yW61lqcdeSUJp8ZGXuFkDvZiwNFazFLAsLQs9usub255u72hhxHap3Rk3Qz5SgBWEAtLMWpDQglZcK0SFTGyWuxlmIsRRlyludW2vxW/f7j/CQv9DvNU+Xe495VCLyvSPhtF8r359B37fN9v7+NJLytlHjf9vfSYvi2F//bvDGTVxqqvCbMHCs1EJkQ6RhUAoecA4vxEi9ahg6jtZzQOePrln/zF3/Jbrdls9+ynM2xShNudjhrWJ3MJMaZwu3tFX235SqFI8dAW0uJHZZAHHaECHfrTOUt3lnOFic4VzOfn/DVV8+5vLxBxUhTz3h08Zja32Ftx9DdMSK9vqoqWKMJQ88wDgzDwNlpQztr+MH3vycQnzHEMdDvO1FuhEgJidXFkqpusa6W9XZRaOPQKaLWNxAKxUhCZYkFXaaeY1GTKUpiYMDaEWsN3nmKzowhkruBkZGxFMIojow5ig48pUQYI2M/gsnCXdAwxpFh6NkPW1CFxemSswenXDw8o13VKF3oxh3airQLHQQ5UBFUQioW+a6OulaZTKs8chJHGTxzYYiZmBUhJ4acSHlgHANJefK4J5hK/Bu2a7L2FNtQqsWEKiwopgJbSyyvMoARtjfCmCxZTWfhdO5l+VmKyrcLA+6N5OX4jamQVdMq4HiX6UFaa1xTHQFzby1j39F3e8JuSw4B9gOL2YwHyzmfPnjEqp2xdJa//vor/tV/98/ZDT3VvOWP/6Mf8+iDC+YLz9AWKjJWZ17d3dLvOs7mH7KqWi6WLQ+WLVc3T/j862fs+4GbF9+wGXsi8P3P/oi6mVG1M/ZdR4iZi/NHpJyJKXN1fUU/DABsu8jt+halKrRtGFNFHDvieMunP/gRZ2crunHDy6tnfPHNL/g//B//dyzmM/7dX/0PPHv5BTFv+fR7jylZ80/+yf+D09MnrE4e8ud/9ud8/fCUb77+AudAp8jt3R3We85WS2IKkvBIj1EBT6LSUDvL2bJl6QZqK+2gnApD6tnv9mzWm+m8Seic8AqK02iTsUYxbzyVsagE67s1e3bclVvcjcW2BmMtu92Oy6+/ImyWhMWcTz77hHrWkJZzum5PDB16tCi89Osnb4QEIg8MiTGESdmgjtJfow2YGbF+iNJWVteV8F4ykVwieYyMUXhIxivhRBl3lNwZV008CHMMctptNkJyLAdZscYYTalqrJEI95QS5CTjLcgYkRM5BkIwR4MlYwzee1JTg1YMw0ApQu7WJVO0EkVVmRIqU2Lo9zz7+isuL19ye33NbrPFqkzTip1zMYoY5FrKCmxRE//CkIoiZkhKbqlmC3wzx1QNxTXS6hqCIImvF9q/8VbKd5s67/f37z/221CDv4vz4buO6+39HHxX7lu4v50Jc9zX7wtB+HVV0Xe97ddtbw7R035kZ8fvRx6ChmQksElpcUNTVmAxA7hmTtUuWZ094Cpkrq5vyVgqDS4XKmNpmpa6acgTQVFrjbEaN8krjbXk6KAklK4IoUjmgVVYo2gqj/c1s7qlrRpmdU+rLbPZdW40mAABAABJREFUgkcXj2gahzFb6e+WPLmrFYySdoKiYI1hNm9YzOdUVUUphWEYscbQNg3zuWe5WFJXNd5J6IvRRiBzpSnTStcog0JLPzMWcpJJ7kDKLMeTSVYhKRe8Ebe4EuOEVExkozEQ+4ESp3jcJNkAcRjo0ChGspr811OQlYa3LFdLFos57WxGVVmKziRGOVRTKLoIhKGmC0nlCX4tKHUoEOQccKmgezsdEzidBaLNggLEiRMQUShVKDoDkTH2FJ2m9E9AD0IwmwqEYr3IPbUX5YTSrz037p90JR+5MKoIB+ZIOZCKVQbGA1JwuCDvgQflyGUQjERpI26CSfYXRkvJMHQD476HEHCTIscUTR4Dfdnzardnt9lScmaxmDFbLTk/O6GqLDGOpDRI8UyGEjAqYRBjK10ZLk4X1F78KNabLS+vbuiuxABru74lxUijFDnKcTnrsSgcivki4ivpxccpKnwYRoGeo3xa1lnqpqZuaqyznJ6d8OFHH0oEe4p89fWXKF14/Pgh1sFuu+flq69YrU6ZNZab6+fstrcs5xUPHz5hNlvw6vpalAOlsNtHcpTXZJSgCAq5nuqmwRvQuSeESFcSNiaGcZhijEV9QMkYDV4ZrLM4q6gP3iVoUhCOTIyBPmVUD/P5nDj05GGk3+1QuZCGHq0Ks8oThz1pjPTbDbmq8BqME9tk8fRIpBIocSQnwdSLsaASWjtKGQhhKwWDmVIMFCglrTetsqAMIPLaUqAoUgziIms8BnksylBywSiJ444pk2ICEmnMpLhH6XQMY5PJ6IACvElMvA9tq0kOaY2VsC3rMDZCiQfwD3G0LMQQ6fue25sruu2WOA7H8VykzpDSoWUnxxGywHlGFbISzhXGYlyFr1usr0HZCTEwMk4odXwdv+l2XGWreyzFd2xv9PbvPe7tv/+uLZG/zYTuvpLvYJD1NiHxjd9/ny2G77r9tlILmN4UjfSypq60Oq7CpmjVBHoigjkrqYOHysu6RrTCzuOaHfUi8ukPfsSuS3z9b3/KejfSOs3HrcFXLYvVGd4bQgwY56iaivl8RlOJ1ShAXVu6ztLUc0LIVPaOnASfbJoG5xoa51nNFpA0q+UFq9UJTz/4mGZ+iTZ3fPHFF+ScxEK8iEXsOA4YC7NZxfnZKcvlAmsN213H7e0dTdOyWK44P39I0y5o2yXeVVOIkp5Szwx9P0DMOFuhi4EIcZRWDOlgQDTBgDlRguS/F53JxosHei+KhTIRFMMYRAEyFQhSNIyEfc8uDFOwzoCxBl85Hj19yPJkydNPn1LPKqrWU3Qkk6hNS1ZRtOyKQ49j0mBLz+NAyJLBUc4dGzSUcIT2HbLaMFnsVlMReVoqmhFLxBAypH4gpEAuI8SBjCF2t2A8mAptvaAIvpZjMIbMCsrhMnmtZDhwCjich3A8nkNVkY8thYPfQXld0PIaXAAtBjlelBfGeUII5LsN2/WW/u4OFSMnvqaEDKlwe3XDTQxcv3jJZrNmdbLgycdPWZyuePzBI3pT2O/u2I57+hzZECiqUBstE0JOeG1ZPFyh9DkfPL7g+m7NL7/6mnHcE/YdN6+esW/mzMeBql1gfS19YSupg007E7laN07FuOaLL75iv9/TDZmm8szbFXXbUrcts/mMP/rxH/PDP/gehYEXz5/xb/7tv+HP/sE/4I9+9CNKGbi9e8GXz37Gn/3Zn/HpJ4/5r/5f/w3DkHh0ccr/6j/9cz777Ad88+wlz5694K/+6q8I2x1DP2LrAUPAMKARHsFysaApGtPt2e7WqLHHhkCOYv8bxl4WFKrgjMbbiqp2eGuYVQ47hQvlMcnqeoj06y0hDzx9+kQQyxDZ3mzYrfc8fXxOO6s5aVv67R19HLm6uqJtGyqdqdsW7R3WO1ROhDJQQkeOEVAY5XFUVEaR1cjN8FIKR6Mn9FAWKWZasGCOpyNkWTkPXSeLg9xijcE6T1W1KKUpRdMNQk7cbneEEBmHkTFfCy9hSpa11oms2zq09xijsE44Wkq9OfEYYyjOTQsY4UGMZHKKlCS28CGM9Ps967s7nn0l4x05YY1EJ8SYGEsStY4SLlcmM4TEGDN+ylgoSlNVLdVsyWx5StUuKMahzESWNZCVXOu/NYIAQjK+Pwd/S8HwvlX9d1Ey/KabeSuF8v5z3g9/OxQIB6njwdX17UTZ77L9vRUIv+s2A3CMX3jjjZ4GXPlMZSUclISRDCGicxGhkDayglYFUzXU8xVPP/0Bd9uep1894/b6FZu+Z53A+UTbR/ohEMLIbh+wzk9tACtchJLQ2tNUckGlWNAs6PeRYciUtKcLPZvbWzabgTgWVoua5bzGW+j2G8Zwyc31FTlFkUEeCYkJaxV1JWYsSmm22x0pZZqq5uLBI2bzBQ8fPsFMF8dm15OzovaVrHyVYciDrDgx5Chyrv12P5mvBJz3mMmbPeVEHKeVpVZsxrWsmLru2CfXU6bDOAwT4UqSJ8dhoNvv2fSZkMF5S7NYcXZxxoeffsTyZMXybMGYRra7HUPuQGVsbUXjVQqTO9IkixTEwxy8VLWaBqeJK6Q8JXs4pMYpaZdoNDqLQZIKWU6KKCiD0orF3Ev6JaKdTiUSSqIwUvIeFQwkg0pu8kEwxEpRdM1RvSBP+JqcCPf+NuFc9yp0KQ1e/xOzpENFr469TlXEEVJNq1Zft7TLFWcPRm4zlBA4Wa2YNQ2maehHgXR129IYhZ01fPDxx/imYr3d8PNvvuTLl8/IjaOaz3jw8QfUlQz6ZVERBths74jZo7TBK83FqmKx+B7zec3l1S1fvbxi3wc2m0tiGtGuImTFydk5j88+YrPrKShWqyVX1zc8f/EClKJuGkKIQKTvE3/1lz+lbSuePj3nwYMTzs8XfPnlN1xf33GyOufBxSMeXDzkv/kn/5T9rudP//jHLOcNfXdLt79huTznP/tf/kMuX33NF7/4KQpPjJmL1YLrF8/JfYeuHFYnnC4QAilE8TPJQNKUMcMYMeMoRLRUSFniiA8tIpULJSRiynQhCYiVCrEfyaGQhizZI6VwV29QumC1I4yJNBZur2+hLHn0+CHzpiWFyNWrLaOJ9H1HVYuzYeUMikw0mk6l6YzUWF2onKZtHFkbqm5NmsKfhgFQU1aMsxhrMbgJKZy4jxmstqAKOQz0O0UYAnHIk2VzS6VrfNNQmfnUHky8vHnFrt+SohGSt7HYENBGiKnWeUop+KpGYVFGiJMhZA4+JlVdHy8BVTIhQD+OdF3Pdrvh9vqG3fqGMIqqS09cBvFIiMSplVeMyEcP7TsURJ0xDlztqecrFifnLE/PqNoZYyqYDMUolHGClvxWs8u9+URAjNfzzr1ff6Xv/9bfXu/md09SfDumGnijlXAoDuK9IC5r7RvJlfeRhu+y/b2QFH+XBEXgOKC+OUTLXw77zKVMrnhCqAkpijxQK5ENaTlxSsoo63F1w+rsAecPH/Po6VPWuy1dP7DrE+2QGUJBZZlIQ8iTmmCKU51ke94bvBNCTDKQk6OkRIqZkEdSyKzveroecrHUlaHyGqMzse+FSb0VFq/Rr90vtRZ0gsoeJ+xxjGglzm0nJ6esViecn13A1HPrukjIGWumXmURTbUqoIsoO0KM9PuBGANjDOQMbvo4cs4CpeoscN4UuDN0++P7bQrkmAjjKGzlqeUwDgND37Pdj8SiOKlXVK3n5GzF6fkZi+UCXWn6Xc+u7+jjHnShta14DOck39U9V4Eijm+6iEUqqNfFobYE6+6RDCezIqVEYZEzSgdhGxaBUjUK592xmAxJ9Ogh5WPPshQFSUGekheVBndOVgrKfd3xmwUB5RBxeygQDuet1A6HWN6iDu0wXlsvH87iqQAzxqCsxvqKup2zOEl0mx15HGkWS5HOOSdFGgpVeSpvqCjMVivQ8M2zS7755ht+8fkvqFYzlmennF2cUWlLbQ3FQ5cy29SjVEJhsVoCuk5nS5SG05MFY45c3a7ZdDvCuKPEgS6I3BYE7YJC5R05R9Z3d6zOzvBegtE0hlIML19cYwykHDBG084arq/v2Kz3LBYnLBYr2nbO82fPKUXxZ//gD6grS9dtSLGnrjSffPSEz3/+S37+s19wsnqIdxXe16iUKDGgCWhVsFrQMEkmzMRShEcip8FEyM2Trfaklpngc5WBKOd/IFGiEEZjJ7bLcYRJ3Uu3G7BeYY20unJM7LZ7mqbCGjMdX0VKihgKKUZAFAjeWkrJGC0tMFXyNGlmrJacg6I1PvaMKZEnZZWco5ZSrPhz0ByL45QgZUVVz1AYco7EcSDFjMHhnMKZjLWVSBaNpuRC9Jm7zQ37ydG0ZCWtxpTRU5v2wLs6hESJy+hUkFgrJGpnyUU4EHGSgKaUGYaR/V6Qz263EbRUi/WZ0upIPM7leCUcx4Aytd+yEadNqy2+bqnnS5qZIFrpwFQuyBiv9EHz9Btvb8Dxhyv9/uT+ron+PRLIvw8kQWnN/Ue+3d4/BnDdKxYO7fH7x/A/CwTh97HJGy2DFEwTbCmAptv37Pd7Hp0/oJrN8FVFDoEQCraaUZSl7HqefvZD/vOzh0T+n3zx81/w1c+/RDWKk9FQVcL8d1VNQYu29voKozNaBZaLOfNZy3p9xzCM7HY9XZcZQ2ExP6M3haurjl0PQzD0wzV1HUkJrE1U3rLZQN+JFLJtRV61XEqRIP48BusqTs8e4JzHTQPjOEaePXvOvF0wny8FJVEKqzTjGBnHKJJLpUhjYBgCXd9xc3XHOA6McaRpW6q6wk6ZCCGHI0tZl0IIQeSOMR0zDXKMhDFwmFVzCoyDQIhX+x1Unj/63h/x0Scf873vfw/lNPvU8fyLF3RDTz/26EqjrWJXooQUZck7UJqJtCjkKWvl5PbTd/kS/4IhSvStMVbSDa2hsu7gwYSpEiolTAy4GKWFkpOsTlSZigo4hOOINexU9KQ4uXLCNt+Q1PAGSjDpC2TwnH7ORXgfmYPB0mGgmpIHJ05Iuhcwlg/tHabRNhYqLRCyaxfUsyUXjz9giIluu0WfLBmzEMGCEYlc01ScrZacrZZ88dWXPH/+Df/0n/3/aGcNy3bJsBu53bzkX3z+jB//yR/zySefsQ/PyFhOZ5p22WB9xZfPXhJ2EMY1ra/wDxqU/YhtN/K9Xc9f/OXf8ur6Eu1bXr38gufPv+LhBx9RtzN2+w1h3HNyMuPx4wu0Nnz11dfMqxOWzSO+SV+w7zb85Kdf8vNffI41mdopVqs5P/6jf0DtT7i96VgtL5jPZ/zpn/4JX3/xjJ/97G85O5tTV4qf//QvSWHDalFxump4dXnFf/cv/h1e1TTWEVTAa0XjFPt1pA8jt9c7ZibQ5EJjW4yWiTN0O4Zuh9Fm6rHDccmRpVhIE0+WDAqLsRmjJzMjpRjGCNpzujgllzV66NjteupmYBgKKIMxnhAVrpLCvm1nzGdzZssFpu8JKaE3WiTUKaKjIUx239ollicjKWViTHTDQAiR/b6n6xIhJkDMzZxvsbbG2ArKiDEV3s3w3uGdpaqcxEYDKiXIGm8nPoQzjBfnzOaOXd8xjiP7fU+/78UJcXuHdRVV3dAulviqpmkX8lit0brBGENV+WM+xTgOhDhKhsdux/X1Nd88f0YeO06rSvJ7ppZlUUyyOynmhl6uDaXAWYUxMAyJ2ihq21DNT5ifnDNbnZGVZTskbEiooiezt9eF+m+7HZCL3+6x7y4C7hcPv+2m7xUI71uEv91qOEgaf9vn/p0UCO+DVn6b7X2PK0w9FQCVj9x2xQRXHfFn0QGXXIgpMYQRN1qcMbJq0BptHQ6ompkM2rnw5OnH5FhIr+4oxXC73uM96Mm5K2axKn11O2J15slFpu97cs7s9z25JOpaE0OWrziQS6ZpYT+UKWJ6xBiJZd52e3a7HZSC1mAteA++Ulgnro1NK0TJpm2Zz5cCKxqLUQ6lNBRNSplxHEGmLMI4EoOk4JWJ5DOOQUhK2h4z4UO3J+929P1AVXlQ0n4pRfbjnZXI3jGIy1lKeGOm5wtHNn6KgWEY6IaBalZRrRY8fPqQZtGwDz2hHxnCyO32jjFFYk5UVYXKsO86gdwVUiQgLQXr7NE10hhN7R3OSfgTqpCUYdAVpmpQztOnhI4QShH3PCOrf2UlqEa7QMmJ2O+nHAb5Ei7koUBIZJtkBRWnzzBFghpIE0ojMG45OjFKCJOsWpjgTaUO+QxClORwPzRZCbIjqMJ9bcY0oB0RjQlilWUWzWolveCmQqVMiSKDI0eGFOm0ZlsK+5TocpE8D1sxqxecL/10PUSaZOiv1tBWOF/TtDOMzZQyEIcNYy6QPPiGYhzLucdXBlc7Pnr6gHZWsQ+w3Y/crvfc3b1k19V4P4cCbevIaaBkzaz1LNs5p7Mlu+1O1C37Qko9KQxEpei7wquXdxjtyAmePv2EtqkJIbLdbdls1nz88WeoYvnlL39G30W805ys5my2a7pxSzOrqb1jzIEUIVAQa23Dbj9iqkzlLAlLyYEwtRDS5DuhQJIH1X0ynpJ2w9RGy3HijshCepLnOpTyGFdR1S1KG7q+Y7sb2Wx3oDW+ajg5XVA3wmvKRTGEiBkGge69tHyUsYTQwzCC2kkIk3aMaXscXxUjiohmRBWJhj5wA+YzL+dcyRiVUARy6hn7QgwjZIV14plirJJYeWFXQMk0lUMbCczqjBaFUgGTMxwWD8NAp7fEGKnr5ojc5cN7qCYvhpyZtS0lZ3b7HevNmtu7Oxm79ZtExzLB+fH1IE+Ycv+0AWcsyk0ES18zW56yODllsToRWeN03YgcU+SjKWdSjIIivjVZq2mOOHqXHaG+QubeCnz6+/F8QFbvvGN/b6sLvs1p8b674fsm7PeZHr1re5uEeF+Cet/18sBFuG+//HtTMdyHMA4H+S5lw/vemO9yoAfdZpou2JIyebLZPASh6ClMSZrVEKcLer/vyCmhCjhj8BMRB+dZFI3Sjm6I/OEf/ykPLx7Bs1ds1zd89ewKYxLeK85Pa1Qs5H7kL/6mw7nCo3PL7XpDGKUvUNeWp48XlLwnhsR+vwHg7FyTkpgkVVWgqgN1E9l8c8PLly/QOlNVUiDM5xpfaaq6Yjabc3p6xsnpGavVitPTc0AcEsXmVyagnAubze7IGt7v9qQoao6SgJAY9gPeOZqqYblcorXm+uaG9XrLGEbm85lMys4KOS5nlosZKUb2XUffCZHqdHVCSoV+GNET4W4cBvq+Z7fbc/bxx1x8/Jjv//EP2e33fH31DdvdjjEEdkOHMkpCbpQoMq7uNrjK47xn34cjucZ7j7WWnDPWGtrWMGtllZJSojhPnp3gTs6p65rLFy/IYYQcWcwrau1QRLzRNN5hVIIU2eWEVeCtEXb7ZFAlX5Fj3O6oGPpM32fQPVEVAsIADzGRgxhmJaTdgbFo16KMRdkKdcxnsJTJjjlhyGiSsmQUSd1ra6jXbYYUBMUxk9WzJrJ48Ih5yeJSlyI5Bmyak+PI7vaWGBObzY5tgeAq5mcPWM4XnC4W/Oh732NWN9TG8NUXX3L5+UsWf7Cg9Z7zk4rdMLLre7rtK2GNO0/uPdpVnD7+kIxnGWG++AN23cgvvn7B85fXdP2a589/RsyFJw8/ZTZfcrI8Ybu9oRQ4OznlYvmAi9VjUoDtdsN8u6LvNwzDlpg69puBv/gff8Ldpzs+/vgJ//DP/yFaw8sX3/Dq1Stubq/4x//7f8yL55f83/6v/3eePvmYB+ePefL4AbtuQ2akaRzzpuG2u2KMiTIkGmVwpubmrsMsHKuqIcSekhS7fY9KEVUKaRRzAaOkSNCTze8h2CenNKXVTp9VmvAjDb6uMa7Fupa5q4gp8PJnn5NKx7OXVzx8dMFsseLTTx+jjKZua8Y40G939CnivKeuG5yvMUNgCFv2/cDtekPdzqhK4m54gfOOuq4hjaicsCqAzihTaGaGpql58PCM/X6k7wJa53suiZkYYTHfU1dzFsuEm4GdUhdBDIjmrWVhlnRjxW7nICeqStQHWE/XDdxtdvRDh/MVZyenaGuxWlQTWUUgE8NICAMPzi+wxnB9fcmLly/45vkzFu0MZyty6o6eNWVKyI7p9fGEJOipU6B9ha0qYkhU8xUPnzzl0QcfcfbgIbFIUFvRWkyq81R4xETOAZeiENbvTZR6kplOua9vFCoZQUxjmpIZ7z1GTQRc9dZtbysZ3qdaeJf64LCPw/aun3/ltnvFyKGYuV8gHDgK98mIYTI1u/+c7zJXet/2O+cg/F2UCt/6HMD7oKM3ny1DkaJBOUuMgX2KqFxo6hrTzrDOoa0ijQlb1dTtjNXpObWrWP7n/1tefPM1X375S16++Jxx2HJ111H5Qu0Lrc8s5p4Hj59gtKw8Xzx/CTmx32/ROjGfQ1VDjNB1mfkKZgvF8lSD3vPs5c8IscdXHl/3TMm/KKOxznN6/oDT0zOePH7M+fkFVVUzxiRGR8aKrOnQF5+AE1llyLpWAwZJVRMrVvE5DzHSdwPDMB4toUMIbPd7OXmsJk4FwjgOpJzoup4cA1Cw3Z44BnZ9NzkGlmlC07TLFY8+fMT5hw/pUsd6WHOzuwZtyE7SNscxMOwjvRLd/34MzKuaytXcvLyi68RWejFfMJvNMNoCmc16g3O9oCfGgHPk+chm29HUlZhIWUfTzMgls+8jOQ7U3qGNo/VOQqcWp1CSMMjTQJlW41YrrHFQCa8BO6J1hTcVMQ2QAyI7LSQN0UjCXCyKrJL4+as9JRtSHEhYktIkPBlDwpKVndAGaYExSU/l/FVy2t6jNeTJ2j4rJahDkSjfhCFNSEvWnrxakZSsnIeNJ9ctJw8/4KRpOWnnnC4uqLUhbffoXabcjfz03/9b/LzlyQdPJCEwF0rc4pynnc3QVYWyHkPPfkxstx1Ke9ra8gffe8KHH1zwwx9+wk9/8SW3dxtub7dsrjdcv/qaUjS+qnl42kIa6XcDTlfMGqh9zTiuCKFjDHv6Ycery8zlqx2bzc/5+ptnoMQB8OLsjKcffkJIic1+w+XmJX/yp3/Kp59+ws9//hOeP3vBws+I48i2rCklIHHnBlUyqWS2+4hX0GhFqxUmO5Rrha2fFTl3ghLcazGIS5Ka3L2nFaeOghppRNJnHCGLQVfG4qsGr2F5cos2sN0H5kPC1orVxWNpnRnF5vI5u/2OcHXD6mTF4w9a6tmChOby9k48RHOWpIUM/TbQlZE7Ok5WS5EeawVaVACSqNgzdjtySKiSqasa0JKCGHtCHLm52mGsZ7d/yXJxRtvOWSxW0rL0NQqPwrJsK2qrqZxh34+MMRGLwhsNJbHvA6Ukbm+uqOqGpmmZL5c4L8TJQ4F9c3vFq1eXPH/+jN12I6TFg3nUIFwRpUE7fZiLjxOXrcSJ1mjBS0hw8fgp5xcPWJ5dUDVztK0kU2VC9fTETzoUGUfu8FsLUkFHFW+Eu9zbZAwVftCvW7kf7l/gV+a7twuD3xbif+NxU3Gg3vF8bxcS9//+Pknkd91+pxyEdyEHv+kBffumXsOxr3cuvyuY2F+AyOKM0VIVZvGZN1qT6gY1uXxpK06Lvqpp55naeR78oMJVNWPO7Lo1eV3o9z0HyV1TaxZzz3y5wtmEJnBzfUkYI8MYQIGvwFeacYQxwMwr6ZE3EMPIdn9HzglrLMZMWv3C0Q51uTxhtTrl5PSMdrbAGEu378EojLrvwCYWpgfI7PDugFwDxzZATpQo8FsIkRgnGUzJAskNg1TMWhGT9OtDEmLUMAzTqknRjyNhDHSTxTNFQoW898yaltlqTjNv2Ic9u2HHtt9Rz2aC5xsJkBriiAsBba1MfuKyTjcE9v3I0IsFrHMFa6VVNPaj8D5MpPIe/OTZnhKdd5yerLBa/OLD2JFiII4jCkVTZzIOoxXa1ZRJ5hizIh/AA6XRyqBNPY0yBrLIF3UnQkmtoBgxlooybhEzxJLFFbNAQgbugkQTF12QtEchYJZSJoTr3oV/IDfqA4lRbs/AISgnK1nxJK1JZOIhXEpBxhMRiDVaR/EV7fKE2tdUVYO3NSbD2EVyl8hd5HL3HLut8F4diV2qgNOO2k+DtDWMZaSkkdBvMPUc5xXz2YLlas55UoRxoK0s/W7PduwZdj0oiy6BEnfEYU+felQBbxzGVwTnGEPFGDxGW27tNePQse92vLp+iQDOI4v5kqpp6fpeZLPeMF/MWKzm/OW/+xtub29pXE0umSEMFJMRie9rR8x+yOxNYmsjyoNXCqUdkFDKgerfFKegoJjpM7g3fnFwA0VSSo1EDMdUSFlQJOsMVVOTS6QfI+MkjZytlkJqVpmUoetHNtsNxlWkAsZ6XJUmPoqejmfyMkmaoRc0YDU/EbWUykJwVUAsZJ1I4yjka0ARQcm1Y1REIa6XKlqUDlibUaqnqjKoCutmkGcoKnzlMZU7KgzGGBmmeOUQPCllQsr0/R4mJGWhFuLToDXFaLIzrNd3rNe3rNd3jMMg72aWoq1EcaHVSPYNh+Jg4jQY6yYiuHB7irYsT85YnJxNxMQKre3krXr41A7/JnLjcV64P02U1xM6v7qQfRd34LsUCW+jB4fHvWt/7yoc3vU87yQ48ro4eNci/H774u3j/7sUCX/vJMXfRXFQ7p0MRwZLUfcu7AkaPjiHcOAmwJikH78L0od3xuImYlvdtBgj8cSLxUgaAiM3PNaWerli9eCU2+sX/Own/4YSt6jU8dkHDedncxYn54zdmn4/iOwH2OygbRR1ozk5EYXB2RDxVYO1jpwKsYxgetCOghXTIq2pG8sHH37ExcUFH370MU0jiXNFGRIa17QcbX0PH3ieBgpVeB3ncvj58JXIiBwxl0IfeyEjOkMZhTS32+2kUMiJo7lxzuRJMlNXFc46Qt4TQqDveuF8FDFAuZgtOH/6IXjDdtxx9+WG9XrLze0tH88+pWlqZn6FHQN+GFmdXWCtI6bMdtfx4uUVJWvqasZy3uCdRyvHOCTp+UeNr2tqX7NYLDBeodvMze0N275Hj3ti22KGJftuJ9G+WkEIVEbyMaLV7LZ74XwAMRnKZK7kcCTtqFWDRhEYCcoRtKd2NzLhqdeeSTFJgRAKhJyJBciZVBS6WHIaUblAjijsZMHt0cpKRYIVQx9lEXc8Q1KZrPJxNQWSSCochgkCVYWkFVFpsnakFNn1exrrqK0jNS1GWVa6xg6RYUzc3OygG7n5/BlXz665u9rwKlxSLWtOT+a4qsY4z2Ixx9WWymasKyiTGccNhAGddyIyiYG4Syjj8K7io0dzLpaeh6cz1us9N7drvvnmBfv9mp/+1b9iVn/IvLllvphT1zXz1anA+SicMTjjyY8KqQykPLDZXQER5zO73chPfvYLlDIsFwv+y//i/4JTFdd3N/z3f/Ov0cXx9MEnbDY7+mHEWI3VFucqCJoYIzfbjmFIdPuBi1misZGZ0TgMDkWyE0JQNKUYJKXTAmoKDYqCEBkhEhZdwDowFd04UHRks+9JWuOzw1Ytw9hxt9lQ321IWtMs5/jKyfWPYUxwfddjm4FuyEckaowZbR1NVTFbrmiamjgmnu8vefnyFU/OK7SpaW1LIBAY6YeeEjVpnOyJc+LlN1+itWa+WNLWmqZ2bPcRrRVNA9ZugY7b2ysOTopt8zGVP8eZjLGOWe0gawat0SrjVEXtLXXt6cfIthvIUREGRQkjOEvRBW8NlWv52U9+wotvvuHy1UuMliRM68RTwmlH30X6LmNtwnvH6mQpaghjhLipNNZZmmZGM5vx2Q//iNXJKWfnF9SzBcpVkxU0gJhc6cm6XeLUX5sBHdoIb+QP3Jswcz54lLzeDlyF48/TvFN4a9J+q8B4GzF4X3v9MMF/m+Lhjfnv/v5+zcL7fguhlPKGguH+435vBcJvIl/8rYmLcH9tPN1WmD6xw85lxVUQGLdMiVcTkqAKlJwYhp5hqNAKGl+LAYkSt8GIpjcG1zQs9Tkhd/jGcXX9Nd1WM+widhpQh1CISZGyYQyKmBCnxcpTN16ISyiUjhTEl+HyVUdMEaUnn4axYJ2lqmtOTpecXzzk7PycZjaXCj5kdE4oA5Wrjq9JKuRfPYnelLoIa7+UjDbqSLArAFqJq5u1KGOIRWShIQbJJADiJFOKMaNspiixW00pMRYw0/s/pEzWBtfORB6WIylJa0Mbg7YaZfQE5U5SKcqxfbHbbtluxOPBaEtdeVRR5CQZDzkVcswUm8AVrDY4A04nNmmEsSPttgwpsk1RWiMp4b1nVIpuu8dbR/EelDmSeEpy4v0QAmChWMgOrRVZGbKrQLcY1WOKXGSplIkQlSejJEFWTAGnDqawmoREIyuVySQUmkKcSjdNKeLRINbSh0RIych4Hf50OOcPt5Qp5KkcEXGZxCSNNKpCsRblQUVxzBxJ3O325F3P7WbLZt/RjYHVakF70rJaLIUsqYT7kHKmDwE/DBjvCSjImcZrMomSB9KYUcajS6J1Cq89lT1lNWtYzRtMTmw2W+7u1pQ80u2vsSZSco1zmhCThKl5h3eO5XJFLpJGWFQkxp6Y9/SD3O/zL7/m9OQE62q63S3bTUeIBZUTd7utcEJQUxZBISXQ2aBQlBIJKTGERB+Ep1RbhzMFozNh2JInNY7O0+SSZaFxkE7nIp+c5BuATQVTxGsjpcIwBlTXEVNAoafUwwptLEopURsoKQLETtlOx5knvTqAxvsaYy1NLdHxOWvm9Rm169HckgZF9oZmVpFjT4iJOBZ0zq9ZfhnGvkdphfcOYyX6PAZpIWavSCpQiiFlOde00aRxRmenbAZf4XxF14+ElAmxUJQUXweTuJwLaIMmE8ZefBBUjbGgjZN8j24nls0Tl8ZZiyZBlPFAW3CVw3khaY4pk4Nk2tR1zfLkjAcPH3Nyesrq9Ix2JsWsmtQ7IMirxLLr44KFkikpTfLJ8sbkeuzjl7cmycKxSFBKTWFT716Bv71CfxeC8MbfvwVVeN/f3ltg3Jtr31ccvP3721/354nvsv1OOQjfVgD83ZCEewjC4c3ldalwuI+gC+WYqFeKZBsYrSFlSk703Z69FUVDWzU4b9FVRTCWXmmiBjdraVYzmrlnebrk6vobLp9DP+zRrqXoiu0+UJL4G+w7yEmxnFva2ZzZfEbdzAGFtpH1Zstmu+dvf3aN95oPP2zoh57dPtG2Laenp3z40cc8/fATVicnuMozjoH9rkObPA0cc0opxCxJk0cXyWlQK2/pX1OKR9mesTIglCTtCKU1vqpw44AJllAyQ4oMYUQZkeuFKEYzIUo0cNJKUgVzIZaCQVi9+1iIxuIWc5IaJr238Cl8XU32supIQFRKkWIkpcD11TWbzZbtdkddtdja0FYVQy+w6Nj1UhykQrYOnMcClYJGRXzqMcOOuIay3zGub6dTRGFmC4aUyCHI6q0BU9VY5/BVhU6ZEBND6chKEZMmxinhUVt0ZSap5R6T9uLVEMUdjhxlIilFBiYtLYqiNEUbmUxLwSD8hKyYlAxTaiMaSiRjjv4JKmuBvKZ8DLlmpuQ95PPOSF0oUTtyymc1xZVLj0pCuJIiDpHCyMu7NXGzY317y267ZxgjTz94wuJiyeNHT9jsduyHnn3XMcTAbhhoFgtc0+Bnc5RzzJuKboyMcSSEDm0cJo3M2iWurXEXM8aQ6PvIqrLc3a355ptvuLzOvLp6hWbPONTk2Au5syhOzy7wlaeZz6T4LJFiMvtuzc3tnhBHUhp5eXnFyWpFLIrry1s26x1kS4iFr1+9ZFYvcM6LJG8K8zHFTEVCJubIEIMUCFqxmNUoZ3Dest3cEpK03nQGnRRM0eMlQ0ZQnYRcNwUwRVQCIJN83w2MYcBYxWIxx7sKZcD7CmMswzAyRgWDIELOHgrgzDCEqWA2tO0C5xxt25KiFHyns8fcVj2VfkXoIFjF6cmKOCjyODDuI8ZqSpz66gXGrqOogrPi+6GNptvdoI3G2YTNEtYUwmtJ87pT5LRh7Hb4uqZpWsZUjkRc42t8M2dWexpAK0tMiZAzQ7cjp4A1YLVCK8t+v2W/2x5RXK2g8g5VDH2v0NbgjWY2n2GtkHx33Zau6yXjoZnx8MmH/OiPfsyjxx+QAWMttqpR+l54mhIp9EHxlIuknpYwvhOSlxYfxzCo+yS/Y4GgpzTM97QX3tWWeHtme19h8K79fFtB8MY+D8/znnn0feqHtwmJrxeR/xO2GN4uGP6ubYbDXAhv8ksKZWLzywevjifONMAqsadUSlEOsEtKjF0HKVE7j3eOynuULrjKcvr4AeMoUcuGhpk+5Qd/9GOWJwsWqwWMa7ox8NXXNzSVpvaGBw8/xhnFalUzn81o6oq+l5UsOrFYtdRtov6FuBNe33bk4mjaGd/7/vc5Pz/ng6dPqZqGXAz7vZzgthKNsdaGXT9O7+Xr4kAlpvQ/CW3KKTEOvRirRDGLKUl6iGMeGVMg5EAsiUQiTSmLISfGlOhiEa69gagVscBIocSEKVOamyxd0ZOef5tgGwu7EHEhYkyW4sMKQzr0gTgmbq9vGEIgxIC1FTEmrq5vmM3mPDo/ZbveErvI9laTQiCGhEcTc2K323Kzv2NtLGF7g3MZZ3eMQVzxjHOQAmNXhIBqDEHv6fdiiJRimWxuK5rZnOXqBFtVGOep55VwUowRuDdntt1IUbLyq63HaOEXFJvkTSegcsbkPMkR1fQlKprGOQx68kI4SCQDefJ9yEWR84F8eOgcW5jUHQAq63v13xS+pTQWRVSKoDVWaSnMYiKmCEZLv1gX/KzGVRUZjdIKd3GK1Yq89zx89IR6XpMjvHp5zavLV1zf3TKmyFgyy/MzmnlLu1phnEM74TXMfIXVE+s7DaRuTRk6ctdREJvrpxdLHp3M+PDihFe3A89veta3e/phYL39imEsjEE4OnWZMXNLUbdojdaWupnxuP2YbtgwjB37bsuYIn/xl39F5edYW7G6eMTQR9a3O6p2IYZE45pSFGPIUiAUjc01fR4Y+8DYb6nsQL/fMa8CyzqQxyDs9yy8Py0zorznRWS/mUyaOntZg00RW0T1kGJh3+0EectJFhC6kAkMw1ZaC5WWQCULXd/R9SPX1xljApu7NSenp1R1xQePn4jNsXN0fUffDwwxobNjXi3ptxFLZPbpitBFdNlRoqhlrPJSYOWCMxUxjuzutigjqMXzF4Jadqs7XKUwU4iSNgrvLOubRBhu2a9v8VVFXc9E3qgMxXisr/DNBuNFzhmLIEHDJKf2VcViMaffb9msb3nx7Guur17hnYUiKEOOtcy5E1dIaS1kzJgJ/R6lHYtVyw//8A95/PgJP/rxjzk5OaNuWjbbHakoQiqkksSGHXWMvbaT+UmKQVDOOICyxwLo/mpZKUHM7s9NghRNrpDT33/tnHR/TntHC+HXtRju7+d9RcIbz6XUaye9t5//3mu7/3yHn9/Vsvi9IQjvY3D+rooDOFRO0y/3XquUBhMzdaoO1XTfw4d9CBsR9GnqyqdIGKHvhMWsYZqIFfW8pXSFkEeMcnjdcvHoMUJsymxeQei3bHcdOUmgzsy31JWlaSSMqKlrdvtXhFgIMUlAUW2ZL+Z0fSc2x1VDbedcXDzk9OyM1ckZYTK4iKmgp8FC8hWkJXF83ccCoQgT/x5iEGMgRfk5xXhMbwwpEFMgpCDwZk4CsZdEKlnaDJNUSBcBxifzOTFuOb7nE6RXBHIdMvQp002+9MUUnAMmB8QYBFof+p5hFE8ErScDmKHHzufM24p+u6GkRA49cRhJMeBdQyGiUs8YBL1Y64w1GaN3OO+x1qFiJAMhiHwN6whqYIyZfT9iXcUwBIrzzENGW0+Lwbgps946rPXkKaZ6iD25SAsgaoPVjqQMWWWKzihr0EXc+PK0+jhqq1G4qaUlBYC0dmKW9ysV8VFI+WDsJUgB2hHtRGiEKYBnQsKSELa00kQ0arKYlnRSS58zKSIMd6NJGlTlsF4z1h0qJexyhksRnGE2X+G8IYTIbrPn9mbNzd2dPLOTtNAUEmEy50GPNE2Ldg6nlbyelCCFKekvgxbTnnnlUbVn2dTYqsM0DqMDm01k1/ViVBQKw7BFG4X1DuMcykqSoXeaul1QNoVYMjZF+m7P7e01y5Wn1TW19xhnMC6JrNR6dDTkJC0GEF6BRnT6OShSiAx6wDGpcvJIo8DqSS5ykElPxldlGlvK5O9exHZEDMkK06oVShGnw5gC46BRulBKQKlMiAY9cHA+J8SRIUTGvjD0kaHrSIu5SBmrSgzCtGWfd+LcmBOqKLyt6IeO0Qac9Thb4a2obIR74YmpQIlY7chk+n53LBC6nbRfnRlxI9IKUGCMIrlMt5WguTzJL4e6R7tK4HxbY4aBcRwx1Sh2xsYRUp5aoHkCbxN9P7Ddbrm7vWW33WK0IIcpZlIKb0oGtZaiugDa0MzmzOYLPvn0+zx6/JgnTz9CTbbJWU2fUSpCaS6vXR3N0eiqTO6uiZLSFOdufmXiPbZoDz8L1Hy8n3y9bw56x1z2bS2Bb2kxvK8d8etaFfeP4VfaHfeKkPu/v819+L1yEO4f7O+yKHhz59/yt0Owhr7PPBanPO+dTFAHm2SkYi5ZDERurl7hnaOuhPzmqopq1ZB9JtmEShadG84vljx8/JDus8949vlPubt6xS/+5i9Zb9a8erlm2XhmbU3OM5p2jvMnXF0/Y73ecHNzw5/86Z/y4ZOP+E//sxU3Nzd8/vnnfPDgE06XFzx+/Fjsc5Unxo6QMsZWWOeo6nqayDOhyOvI6d4SJ6XXBcI4kGNi7HvxoQ9RKuqUiWNiGEfGEAgxEnNmCIH1fseu69gPI31IDFkS1JR6nW+RtBQBB82yIqN0RmdxBuwK3I0jz9ZrlmWgrhGINESGoUcVQUB0FithHQvGZCprePDRE5q6ofaWNPOULA57N/sd+/Wa+ckKpxVurthtevqu4+7FlVi7esPZxQW1bwjD5Nq276ibBuM9KEs/jNztdqzXW7R1jDmzXJ1w8egxi9UpVdMwW5wwWyxZnHistjIRpExOotW+U4bOTGmeBrQ7hKYUIIo3QY6Tf0SipIjXmtpP6ZlZIrYPRMOYg6xYchYVRRG/jt56EqK+oRRUVqikpsRrQymarCxJa6I2BCwxZ3ZBHCNVSmJ3axQhGJKxRGWIiwq8pp1VuIcnlDEwm89IceDm9pLNemCzHvB2xny14IOPnnL24IyqbVjvt6y3W15eXWKNox1G2vkCYU0oLEYkZhzsgAvGNxhtqbTm4gTaM8/JyZL9vuHRZcuLV1teXm7pupdsdleEF47F6oTZckk9b2lmNQ8en3P9b2958eqauvEoWzM/fUzMittdR7ga8L7l5PQhYyj0XcI76e2HUpBhzVG0IylFJBKxhKKpgnxuisDJeUPjDDYVVNQQDDk6yoTeZJ3JOpFNT1GJYiLnZs6ZbqdJTpj4KQVSiaAyuUgMs7caZzR160kl0Y89Kid0SXgDpMB+s+FKFXxVUXmPsUJmHIcBlTWD3lNKpvKOy8sXpDiiC6wWC9raszpZgCrMFg3r9S39fmDml5jSs7nrqJoK5zyN2QjfJUIfpu5YBqXEvG3cj+SgKHHEWMdQ7bC+lgRcXREzjKkQMRRlsO1MKh5tWK7OKCky9HtevnjJV19+xRdffMXt7R2zmRUewxjZ7zZYa7GuJsRIzpHZYsl8vuDxkw/48KOPePT4CX/2H/8vaNsZrqr48qtvuL65BaaxJ6bJPdXgtZ3QYyaulZi2lRQgB4qWawZer9IPltHw2gfh/rx19DlQb0453zqvlQJvEQF/HSrwXUiK793ft0yF72oz3Ccsvs1T+y7b30sWw7tue7va+Y22I0BwX9ryK8/4xjemyF2JEk2UXCYzJSXJhKUQJ4c0VcRTPJVMPfMYr6mpKCPiuRpHXF1j1IqLB4+pnGfY7ri5fMn66orrq0u22xFnWxazAW8jt7cdtzc7Lq+3XF1tmS32eLdguXR88ETz4PQRy/mKqmpAKWLKRxKTtR6tNTFlxhinHAjplcZwcG2ZCoQoZi5pFOQgjEEIZyGQoqAFYy/QfoiRMSRCloJhGAf6MMiqFo591oJI+ACwWibMLKsmKRwEtykKtNdkDUOUiFddNJWpUEkRCCIXVFA5T0mZpAQGLBQqaylxpAsDViWM1cxrx7pEYr8lDgZvLY01ZF9QsdCNA1o5rJ9hbYU1XhxxsyKnQtePqDGitCPmLPa6k4+9MVYWGiGy22zou479rqPvdoRxwFUVKIVVhcpbtDakLERMozSmaKySbA+lCkrZiSFgEG6nwID6HqGwIG2cMoU0WbJI5qbvB/ShqESnxE3yIEyRACGFSiLCzwpyMdii0EqIkiVI+I1TArdmrUjeynGXSDSgvJbEO6vQ0dMPkbEb2Kx7+i4Qx4ytHc5WLBcrZu2Cqq4YYsTqnpIKY9djtGY5X2CsRWmLMxVKGyiacYjkcYQUoBSs8ZD2hLimqizWaqpa+DVVXXN5m9h3ieu7gb7fkSn0cWDfV4QS6IcR6/zUnlFkLa+poPC1JKVinEAx5EkXXyanSgPKoUzFQSdSuzO8rTmbVbS2Y+46bCVEUiVpXqBl1YmWttBRIaQlyRBziHzey4SlFdpJNotSRQipKou9sbM4p6mcpWBwVpERqSB5pG4M1ijGviOMA8F5IfRp4QsZLJVvSLFHMUWrx8h2u8Z7g7NGCI1FkLWcoSRF5VtKVqhisbqhsjWVl2wEkoStpVSkaDcGg4XcU/JkQpcjKSpQWlxGDYLEjSJ5zBh8TCgtMcvOVgBcvXrF1eUrbq6vyWlEa8kVcbZQ8iGBUhYLVe0wxvLBRx9xcnLKRx9/wsnZGcvlipgKQ4gkZSREzFeMIRxR5DcnuyzOp8jP4oj62nTp/sT6BklRvbWfe/OTkBRfzy/fZW7j1yAI35WH8K7HvnHbPfTj/vZt8+m75I/ve13v2n7nLYbf9O/f6TmOkN/9FsKb9/iVyqGUo/9+TgmyDNTqNYOROOXBlyR5DiEFzHmL9ZqmakmdIo0jIQ64youxEYqT5SmV9jxrPucZnp/89eeUFLGqoq1P0WrGq5dbrq83vLpcc35xg/UrPv3sU05WJ6yWj1i2M5k0SyGESBhHCkb6glVNyolhlIEy5YxzhpgK/RimFkOBFCkxCulvFIJgHAcJSwlihpRSou+GSZWQGIIwu/txZD90dGNPLFngZRnrAXE0U0bhvYFxIvE4gexyKpNOX2FrTTGKPiaxdFWWtmrRRROHiJ5SFlvfQMxENbAfO1ROOK3o9zu6/ZbFfEbjK1YzzysCsbsj1AVXVzT1AlUVbIawG6de9RJfzbCuZgjj1NfXDLteSGdWoGtf11J8lUzTeLw2lJTY3d0KMpMSi+WK3fma1cmprOaqirb2zGYzLq8LQ0qYrPHGCMFwcqIzOsubRpDUTKUxpQiJsSTM4aydbC6LEjVIUQX0hClM6tyiIjvG47mrsqAIOil0MtIAB4opZCPtBkom7/eYymMqj7JaWPeVJQ4jwxgoNk9WwgaLw+TC9hcv6dZ7bm927Hcj45gxXuNMxXK+Yt7MsZWjGQZ2xqEyDPsOlQvukcY7h/c1ztWT3W5hlzIhJwgBZQsWTwprdsOXzBcPmc0XzBfnrE6WnJ2NVF9tubrZc7vZ0XVbdl1HXktQlbm0FJ2o2xn7fkfORfrVEyF0OT/FKE/GTW7WCbnEFeIl4EB7tK3R1mK85WTmmdWBx2d7WrujMRvU/gpiL2OG0hTEf0DIoUghp6V4KFpc+/q+g/1G2plaYa2mbjzOWXIJGGeoa0812YNXzk32xg3aCvI0m2+klac1m+124uXYY2iYMRpnPPXcy4KAMI1XgdubV6xWSxbLBU1dk1KiGztSEESqqeaQLapUeDOnqWY01cg4ykIjDT1jiNR1hdYep1uGck3KHRopOlMo5KxQOoGHYQzsdj27IZKKok0Zpa20lYxjDCNDCFxeXnH56hWlRLxTk1WygLveSR6EssK9ms3n/OGPfsyDh4/49LPvycIDxWbf042RqsloY2lnM8JmO9nsl6llN5ELcyYneeRhMago4ndzaP29vVKfioQ35qb7i1etjuTGd85F70IT3oEQvA8NuL+fX8dZuL+9i6T4bT4Hh9vf9byH4uq7bP+BhDUdS4PXtxS57VcKhemeOSeG4Z5P+JRRnmKaZDESWHLY13azQXU7uhbauqKta5xSWO+p7QlOa7xW7HPBassHHyhqW3O6OOfjDz5j6PZsbq+JKfHFl8/p+8Lq5CF/8qd/zgdPn3J2fgZaDEGqqmLoO4Zuy3K5xFUG7Rz9MBKnyTtlsUsexum2QaDqFNOUH1CEsZsiOUySwBgk4z4E6SOnQIqJEEaBuouQfGIWxUKIQmxkItBbAC19yzRmrDb4uqboQMwZ76VwGccwvfeaqqqp2gY1BSU55TlZnrG3O0oUuWOJcrEz2QXfXl1TSkLlkbp24nhYIqpojIp4m2lqxaJ11N5gCRhGnBpZtkLS68dESOAxtLMVvk5Y1/DsxQu2uz3KjJycnvLg4qHIAXPmbrulTIVJMRI1O/YD3faOkka2tzdCFLOG2WwungvLhyhbo1CMsggj5XRMDtRoNBZrpGdrrCb0e/I9P3jRKUiRoFSeJhemVStiBqULkNDlgCBMzPqs0Kmgip7kklNAlDYoBadtS/aOUnl2JZFVwVVSeEYy3s9RKRH7kRgTmswHJ2fUtiHEwna3J2UIJZBioe8DrhqplOLs/IJmNmO+WsoKVElGR7fZ8uzuG4zxOOs5P7+QoKnJHjuHkX1M2CZxfl4RU0eMmbs7Q4ieqvb84R9+xhAMH33ac3W742a94xdffcUQR+gCsQRSSVRNLU58fUBrK/4YMZPTSAyBksWNb9n6qT2jUcWSimK3H1E5oHJPbRPOFELM7MPAmLeU3S2EHjcWStAQNCk4ShH73qwjWSfwU5iYzZix0JTJGCsVhr4Qxh5jJUK8agzOKbrYsyfTvRA37qpRLJYNVe1ofHU0A3JOfBeWqyXDIHHoXbcnhpHnz77ATNbwVS0E2WfffMF6LUqpNOV2xBwBQUdvb7bsdnturvbM2nP8cs7JQjMMYQph2lBCT8ShkiVgSVFMw8w0MaUcSDGDspOLoiRPGq1QaLyzpAIhBdbrW8pmTT9+JU6p48j5yYmgeodVfoGmrqnbOY+efkrTtjRNw0cffUQ7k9jp7b5nGANNO6NuGuqZEevyLMTjPCm1DipgSiJnJXbnZUrVKq+L4Zxfo82/Aunz5kR/KCRk7phw6ves+nnrsSj1BtrwG6Pj79n3r0zscJQ5fpftfvHwdqHwPwkH4XAw3waV/N33/+b3d23HVkQRZqpRk2xlOpEORhqveQtyfsUk8bVp10k7Ao1yHqcN1juc1lijMM5DlTHzBXnqiV2cn9PvdnzzpWF9d8tuO1K3LYv5gqcffsjZ+Rmz+Yyu79Fa7JIjki2RkXAZfQjYQMmFP2VOCBFALo6SJ/38xHATlUIS//GpZx5TJkT5ikFIiqlMzPMi/gMpp4m0mIhJyHOZadLSE1lLy8kvyIL04NU0qTIlpimtsZXDeIf1jsorKu9xWqJgVCnEoaeUjE6O3A0wBnI/kFJke3OHWc1praVtGvFAUApfVbSzOXU7w1krBF40sSiMr0jFMMSBkHpStqJi0GCTnrTYMomXIm0lDuQoZBB0ZprIYmTopoJq6Glnc7QxU2RtTwo9MzfD1UV4DRw6OyJ/yyljVJbkBetQGEE5VSAr6XfqSW6iFaCzIAH6wE6cTkMNRhUqHQWuLgVlpPWlE1POtiAIeYLEVc5oramMJhvIutDHCelRhqgNWjuUMRSViUpijJXKlJlCqYQZKvy2pcozUr8jWdiNPbo3JF1YNRXeeU7mS/b7vVhz7wa6zZbN1Q3WOJz3tM5BUUfLcJTEIBsKXleUoKTgzT0qKZy2LBYVuVRUrqVyFm8Vt3eeXZfoxpGUAuSILtW9y9VMELwYeY2xAAatIDFNHhpKDhykijqP6DRMxbXEk5OjLBb6hAqZNBaKSFhk9VwUWRWSTmQtqM8EHLHIiDGWkmJxTIUSC1Yejo4IObgEcknsdwVj5bzxTsYiZ/3hYsMYISdWU8Ksj1kKoBwI9IBI1WztJACp70lISy/FfBznrBMOQymRvg/ECKoYrPE0tQJG+iEBhlxkEi1oYi4kxK0zKSgUYs7kIudpyocx8xBqJdyLg49HiIGcC/tO4se1MTStuNWGe7kGdVXTzOacnp0xa2c0bctsPsc5TwiRfhjo+hHrK1yexp7y2oviuPqfCoScs7QK8tTuE2xPJmyljsX0wTZZ2njTHHHv643JRL31t/sTzz304eB/oO4935t3V+/8/qtz1ftbDPf39cbv9x/PAVl4DZ+/s1h513F8xzrmd44g3D+Id8Erv02xoNTrr7dvf71jKEVPkwkc5GPp2Jsw4CzaHe/OMO1EGcDVlAzry8jedqxd5PxkyaypaU5rMpByQTczSVayitNFxVk55/LZV5hO8fH8I8b+nDAMpDBitKLyDu8CpWxoGwVEVBkwlQLv2KceFeWj1RS84ag+MCFjsqIwwZ5ZkZOi7wMhTCzoNCELpZCzZhws+y6w7xK77YDSmeVS+AwhJfZhoJvIe7u+0I2Fsch4ZbzGGI+yFkdgjIkXNxtmc4mO7XMSe2aFQLtGYVpHs2o5fXjCJ49aTitDv75mf3PD/uUrbl++JA4DLpcJOtU8HmEIiuvLO9yDTPtI8Q//1/8bXNPwtz//Oacf1NQXn1LVjQw++46b3TNux1tOTk4Yw47b28/x4ytKqKj0E/GuTyNnF56T0xXXNx05dXzxy5+BkiyGk5Mzls2Ki9UDrq4u6bs9X/70lxQi2sA/+kd/TttWfPn1M8adYXdrcXdfM1su+eEP/wCrPMY4hpAYQ2LfDSglvdyz8wcADH0HagZVpsQBSkKVEaMCikgJe3IcSGGP1hmtoK4cPge+HyPFTQPURHBMqUymXIVuCt8ZI4zRkpXDuzlprEjRM1cNEUuPQeUao1p2o8jDehZEBdkm7INfQtqzewDp8Ry/VoRLzz4k/vbuc2a7htp4zi9XNNYzdw2XX33D9m7NsN9NhWpGVYZiFF988TllMoE+OTtlvpjz5MMPWY+em8s5tRKi1DgGlE4o3TMfXqK147TSPDwb6eaJf/DkE65u1/zFX/2E231gN0Q2d1egLDMnErtirPhbaEWpRMKZVeEyXqGKIDvegNWFWkV8KTQlY4O0xrZ9piJTUZHCGeRAnEyaik6kWoq7pPNRBpwVYibFoaEk3/VEWs1iPSHkQ5PZbDvMFJfSOlELOAxhF4ldodsUtLNo79G+QlvDPolCQLkLmvPHzLSewpCS5J3spyjm3Y7tNhBvdqRxyhPJr2V/Z2fnoGA5X9LULd5V+KbB7HZcb68IpiPanpOzBQXoxzVxBomKGyXFb4hQ10KYHLIsNoYUcbUYQIUUhPqBpK06b2mXpxjnMc5TVS3GeWzVSMy0ETmmRmGVYdZKi8SaihgL680tu65njJHl8oRSIEzXV9933N7eYoylbVtxgFWwG4ephZypKoc1QkqfJhnwlSQw8nrCfxNUf3My0YjCKKZ4nPhfzzMy+WilYFrIvX+uUr/257e3dxUH70ISjNGvHzP9d382/ZW2QWGyB5d5UWU1Oclr9Ojeezz3t79zgfDrIJV3aT9/4+c4/vfu7bDre+2lN25/Yz+vD+z1/e7dQbK0EykGbsn0e0eJPW3laCsnjnnOYUslMq+YCSEwjiMxiZ0x6iCDUsei962nlOeYZIUUWZ2QBDUYB1EkpHHyN5h0ccLDKYyjkI7CGI558TGlCf4fCSGSc8FYC8jfDg52Y5BEwpRltTmh3NPBTUzfKUfcTWiGNQajNfuuRxtN01ScXQgqcnZ2Rl3VVLVjv9/BPjJ2PfvNhm6/p+R8JNwdVh0lC+HGKAjjwG67QxWFs462nWF8RZszwxjEaGYMIrPTFqMN6JGThaepPN56yVPIsuIWoyiRVYaQiYGpQLDkWLDGcbI64e72hs36jqb2aFPhvSGMA3slbZA+9HT7zNIbhs7y/JuvhZilLO1scTRsKZPpyHot6Z0pRJpGeAyuqSYSXCCOW3LoCEGhjMWbGqMLWounvUoSMXxcASiF0oIkZAUqF5LKKIsUlNmSikEEnhGKQmczycDAZIMtGldEZ4BRJC19+hSEkKa1oalbTLFUxZHHDGPCZYNFE0uhj5GSOrLW6Mqjwogqgpo0swprDehCTCMxDJKPsd9zdfmK3i0Z3RLvBRlyVuB0VCFH8ZpIRZAmb8BXNdYafvyjH/Lies31eseXL2/pY2FIkazGCSF0ggxaKRAA9tHIgKlk/0oVdJEcTfFHyaAyRWUm9iclSG4GKk6+F+neamy62/SJTODE1LqR1eihLZeRgbioCfCbzvfjcF7kDiUJHyXHI9SC5H5A0hplpBWnbSYpRbZqIthKeqN1wnfITpODJXs7nX9p6sEXwiTRTSUQ0sAQOnKCbtjS9VuJb4+FohLaiLOkipCynlzckzhGWouxBo04Jx7yGfSUAaKVtBCsNVjrcJW02NRUEBhjcBOqoY09OlYK0ilBceMYjk1h59yUjWPRWk/jsLQn2nYmKIq1gKBHMU5k7Smv5NASKEUMrLS5dy3x3bZy7/uvW2D/XYqEb2tdfBtX4f4xyg5f3+f+/b/L9l1bIb9TkuKvO9BvY1J+6/3fnvn5VVjm2/b/PjnJ/X3JHaBkmVCHHBn2O6zWjPuak8WMspxzOm9wxqFUJg2ZMIqGuO864jAKQz9KdLCcu2o6f++jKJMiIeZjW0FljkqEbr8nhUjow7FAUAdadeF48YQgSEIIwilIU3ZCynKhyAUlroghJLnfKGqGCcXDmKnCvgfdUcBW1RQfWvDOoI2m70eaxjObNXzv04958OABDx5cMAwjm82a9c0lm35L6HpC1zPu9+gibGajkcHxGFOasVbCq9abQooRoxTz+ZxWCeT54uUruq5n6Hpmsxknq1M26zU2OSrfUDct3lbkqYeqiiZHkXXudzu6LkwoisUYy9gHrDWcnp1wefWK3W7LfN5S1566qeiHnm7Yk1Og6/YMQ097smToOr745edHEtzHH39G3bRY35CLkMPubm6QFZWhbUS2tlw0aF2gRHZ3kaEEopL71H4moTUqk8Igki3z/yfvP5ssya40XezZytURIVJVoQqyu0dwOEPjHY7RaPzCn0+a0YyXNnY5lz3dDV1VKSPiCBdb8sPafiIqkQUU0GhOA9eBrIw8EXGk+95rvesVj+eh0uI1AZJ1pXIBXTAJbFLYbIhZMXl5X0uJqLygSsSUTM6GXAwNFqMU1pmKREFcZNOxWGyzZWMyudlRQib7TF4iJSTSHIkpMcWAcha32RByQlMwGobdVkZKjcIvM9N0Zp4nwnliWWbYRdSVw1mDqRvOSsRL0VNQxFgo2mGUpetbdrs9Lz//gl/+9g1fvXnPaQ48nGbmkxBRS8oiNVVCUDRG3Can0VJvkKIMMQJSRcYNlypViB0oncnak4unqIC4fqwdWJWZqicBQGUNAhJUgfq1Umt0mqCVChFWaAVrCFspggatEelFp0tHq5Sm5ERSoHWkGEMxmqIV0UghoSrCZx1Y06CKk2I7yueYq0tsTonD8SDNQsksYWTyLSEnTuOZcT4y+4SPkIlY6+iaBu0hREF5TPXYcFVOuNo+G6MkIVfLQlGUvB5nLK5paJr2EvylK+wuRYYUCDHKOpZqquyyLLhlRunKsbAWpTXOVQVXjNJcKMVut7us2SGIAV1MqX7G+rK+5lxkPBgjrllj1/86jz+kSvgWx+IT++z/EA7Cv9ixzn/+bHf3aTKJ0or9fnsJPomLmIecDgfidOZ8/57D0Ao5LXriPOLnkfv7e6JfUDFUSDljjVTbq5OjPO5joWKNRen6QeVSYUIqSSjjfWCeJk7HI37xLNNMYx1d218+9DVXPaVcs8xllhdCIkZRLRQyupFqPYTAOC0Xj3W0QIRaiawrVEloKpElRtq25dntFafziWkOvLjpuX12y09/8mP+7d/+jP1+x5s331BKYdsYQin4JfD2zTvivBDnheu+o28a9ptNVaAUztMJHwPZe6aQOJ8yv/jlb7g5T2RnWIIkRv7y579kHMVVzppG/BJCZp4D59OIsZW4pg9obXG2ZZoC8xK5fzey+MSyZG5uevq+ZegbWqcxRAwRqxON1ZS8MI0Lv/rVa2IKUjT0LfvdwHwe8bNHW4mO1sZxfHgg+sj1TcPzFy/YX10To1hchxCYxhNvvj5wvLM0ztD3kh+x2WwYWk1OnhwnUlyqdXZBoUXaVRdXXeUkCqhNOlpnbBYL3CZrUhIoPVT/Chs8ISts8oSsiVnRYClKk7EoJYvppHtKcZe2uGTINpNjJjSJ6AIxRIL20sGGiNsabC1SYgz44LEUfI64UPB+YV4WzqdTjQwPmEVhkiGnQONEBXRJIi35MkqhFLQpWJXIaWYcz2wbxQ8/u2WzGTiOnjd3J755/8D98cy7+3cSaq5b+s0G51qMvQEURhU0AYjEksUiO2eMCmQVsMoj6YyJqEZQAVNExVRrZFSRol1X9EUrw6VdU3XEoFYKkyhaFIVE/bsUVF69V7JYKwNUgmpJnmw02ihKCAKFL+NlXIUW1cTcyvOSxqXO2Yuq2TEaWzv6pq3mQ2iU68kFjLM8e75nf7Ul5ES70QR1jflw4nSemf2JOQgh+cLxo5CyEDktgHMymk0SkS6+oFUJpkC4BaIU6jY9qShSUWCkIHfOYawoHUCLAUONbM85M42TWCg3grjZpkVVFDfmBRAkw8dQH07mNsZahs0gRmFVUmq05LeEIL//13h81771fTb7Vfnx8dd/6PizIAi/Dwn4Q0jC9/p5+Qbwh9GAj3/mDzlTffy1MRVzzxpSlMnqkvA5kEOBMGNUQYWFuIyERWaDJUZ0dRxUSl0gOVWh+49fs/yz3v7kPdRKYY0h1fhTKmwegr8Qrb79QUt3ElIUZ8SKIvgQheVd2b2xmiSFWIlH8oKlI1BaiHF5fbelQJICRJ6fUYVnN3tur3bsNj2bvmFoLY2Wx0fVvAYl1X9M4j1hrBDZ+q6vrzMzLzNKSaZEiuBj4d3b92QF29tb5nlhnCfO55FlXsgFKZj0zDSO+HkheUWO8rgxBoy2NE1hmiPLUnMoUoEsH6fRoFWm5ED0M1ZD4wyNFYVLyolpPOL9gjXQdw1D3xGqb36IC8ZkjC2cjydyzDRNz3a3Jw0BinRYtm3x0wi5utNFjcKgO4u21bgkq4sf+losym2qyqzqZ/LkAhDiovgfrECjQtE6MFlhkhSatjL65FEVpgTZBFg9GxQoKzkQrB0xpHXurqOMMdDQIu2wsVKl5AJTS/YQS2JBSK8hS2E0e1/Jc/HiaKeTjOti7ahhvSakLV4viwzCzciKMHm0cfTO8ux6y9AnjHXknDAqi29FzMS8oKP09apI9gmiiq/kPUEXMlSGRCYUj8oJGctU5EA9jsHqO3R5rxRrymMtH3TlmfI4185lNcIS2D0jviGqchhURvJElBQhuZJMS1ay8StFSeKQqbS+FAhBpctaUSr0YoqcQ0ZrijXVX8BiMCijsE6KQNs6XGuwjRK0xXbcpD2pFIzj4qgaQha0ZGXwifFErRqTnI8lX4oDvZ41SjgPRmus0VhrpLDKiqLNo2viWvAqXePq67qGoKiqPLrGCodAro2Yk/htKCksilovBPlUpJj69hq7GgOZP8AT+Es+/ljE/lN/6je/1+P9WRGEP7Y4+FMf42PS46fmNn/o+x8XESAXYfJeZJBa0VhDURbfWJKfmaeZ6ThDDJRlJIWFEj2dURhVYUBjsFrmraZ26Ko+ztNwkGkJhJTr3Fn+54zBtS1915O2kWW7MLQd8zjx0LQcHg68efOmuvbJHE5psah1TkJYila1UIjMfiHmiJ9E5liyZA1kVFUiyCJ4GTFwEXbQtpZ5CfzjP7zhy883vHpxw//pf/pPUDLn8Yg/fiCZxM++eMnh8MCbN9/Qdw2u7Bn6DartsSheXd+w6Vquup4YAt7PvH//gfnsORw9UxCnxv/6//5fePbZM/7jf/6fOBzFwS/5hNGO3bDh/v0dvz78indv3tK3ji9fCSkw58zX714TgpjyyMKs2O1bMYnyHpUX/BwxOnF8KLx1sN10XO2vgExMEZ8CnTPkUJjOR169uOXl82f46BjHmZ//4lcoLdKrO/sB61re7t/yy3/8OW3bcXVzzfX1NT/96U95drWHqz1392+IYeF4fyK0YpajdRSJ3jLSOI11jt3NFYvPHA9B5udAzSMUaVOp3A31CIHrktFK0feOVN0aZ5OIMTOriI+CEvmYpIkuK4Kl6ewPSFhCrpyUlPAhVyQCIpZkLWrXCkirFDlVC++0JS+WOCkOy0LxgXg+EZeZOE/YUjDGstls6fZXdFd7gX9j5OF0ulyDm82ujh0cMc/kDDHMUoMsCeVatG3ouz394LjZ3vLZzcB59vz6qyvuD0e+efOe4/GO6QzZvqxIiRQImiIkQi0dbVaaSGFMninP6DQxGFkAbT3vTanz51ooaCT+WZfVIERfXPZy7ew1lWmv5JFTLbZ0NU1a1RX6otAr4i9AnZzqKKjCpTKRCzAbWGpxkJP4ta2dvq6y5K4Ba7SQ9KyEi6k6wgJDzAtLtFzdXLFzPa++eM794cDxfOa3X3/F6TTy4cMZlxU6i+1xqmF3jZLRFpWzkRSS01LTSbXS8vkpSXZ1WokTqbIkJR4J62hUaRkFKKVorZFCqBZDxlj6vqcfBpq25TzOhBiZFi+Oio0YcskhUvVcpCmIobAw42ogn3MOozVd1xGV/t7cg7+U4+N96+ntn/rZ9e913/n47+9z/FkRhO9TIHzX7b//BX90v0+IQ3LJlSf/Xr8qlyrp2z/P73AaHr+vRD5YEomMqtJHkaoJjBcrKUgkhiI7dK3Dao3Tj+mRAv/V671+IGuioWh6a6V+eUrq8RnWE8E5x2bY0FiHcw5rLDEkxnGsZMRADIG0+ItMEq0qaVE2x5ASUx1fKIVQr5VUM6W+tdL1lAuCogv4WbwWrjbw5efP+PyzZ2xaB2Sc7ukcNCpxvW1Ji4Y483B3Yj5PjPPCpm3Zbrbs9nsGJ452EihVBGEIkRRhGFquBoEWp/PEb379G97fHbh/OLEskyQxXmUODweOD0dxdQyZ+RS4vr6m6zpMaRinmYfjifNpJsYokLxRmNZhncy/O2dk0SueFMWvP6dEriiL1RpnTN0kVHUxFBlbrM5+Rlsht6mIzoX5fGY6jcSaPtk6h3MWYxQxLyiydHs5E0OmFE/Jcu4kDajIdJ6IxYHr0d9KI8vrwF48FbIs1kKqrsz1klDVlVEZOW9tzgSViDrjiRe+i1g8awn+qjC4zhlTBF8oSmyctVr7cCrtRYyKMgY1dBhnaBoL80zxcl/aCqzcKIXTmm0/oNruQkgLIXA8HR/P+VJoGnFVrCAVSSm0sWz7llRqhPNyEiMB2zBYTTNYeHnN9eAYnOL+3nEcM37SksyYMiUFMp6YI9omskWSNrFEjCRnJoXVj69vLQ6MAPXy37JGbasLWVHXokAIkE82/XWZKqtrJpf3b1VAXK7w/Hip53rjygEqtUvOBsLyuPytqP6ajrg6y5csVsYp5hpeJOtUyCJvnqaZQqEberZXe7quQxvDOE2SPKkMPS22WEqpCach0DatBJjlwuIjhgXtxD0x1XMlo1FF3BdzSpKCasWroihdz7dEiQpjZaSVUpLrUsuowLrHtU1rK2hXPR/WKyFVI7uy3l/OddxQx0JPUNrVTXlFx/7aju+7137MQXg6li6lfO/35l+sQPiuIuD3dfu/7/e+VSSUOhqo/1wv3t8pK9bRwUfff2rZ/PT+5Mqs1sUponIUQlaRC7IYTZIgeHLKFXoTlzBnDI0Rn35j9KU3LzlXyDFfyIVSIHA5uRUVKlvfz/q0jDEMw0DpOnbb7aVAMMYwTdNFmz4v/rKgK6UEJcxSkIRcOEchIxojVb7AfhrI1aWuvk+rQx9wWgLOwfNrw4+/eMGXX/4AZ0Arzbbt6a2i0ZmrTcN4AJVm7u7ec7wfWaaJoevYbLfsdns668jjRCm1eFmVFAmuNy03L/ccFhkn/OoXv+L12wfe351oGui7FlUUx7sDp9MZqw2ZwnhYePVs4Hb/jKvNNcfTEc03hEnUHzoXgfQbgS6t1TSNpbGgSiSFQoqKEMJl1GKUvD+5BsKQFCUWIez5gNUWU8RjgZQxKOZpYpoX/DIzjyOUQttaXGPZ7noaZxk6R0li/hPDhHjGRdYwmfE0opotuhtkZo3A02K0JFaLRUWBxrMQG8VnuUK0ddZtjWxOLZmoxSdjKYGUZESWsqgGxnm5GDhpZHxklaaoglViXbumdUrkcSGgyEqjhg6bG1zqKGMj9sooyrKQXUNvLI2x7PqBpRSmFGo64czd3QeoSg1nDX3fYzR1BCLXqFEdu2HP4gXdmJaZogzatnT9BtM2bNsrxl3LvrfcDZb7Y+Dt14bRJ3xMxOTJeSHqgCaRTCEriVXOWBkZZE1YK+TymD2yEjPWK7jSNC7NhaGgq6vfijqomp4maGBt89eNHiUdeHm6Dq2NC9+yOF9vK6o+xYWLCsrUut5qLo2HquiCOMGK54C2dU3xQeKTrUUZzSZG2mGgaVq6tmdZPG3bYaxhr7e0upH1IgbGeZYQNKXxPjDNkgGBkY0/FikQijIoknT1KWJdK4RU7cgo5iSKAlUSxjZQIKaIVRptaoRzzZ/QxopCgrVhe1yz1zVzJTeDuCWKm6mqHJDaLVPkujV/Wnnwr3c0sY6lvx8y/3QM/RS5fooifJ/jzxrW9F1P9ult30W0+FMe71Njgu96Pt9nLKGUojFaTFKQWSA5oWLC+wU/j0ynEyUJsalrGzpn6PtWxgp1JmeUki4xZ0IWGWKK0kmtH5R1khevkTlkTpllmgjeM57HVZUljo7Wsd1seP78ObvtnvP5zDRNvPvwntPxzOF45P7wICSxcRSjpCQa+lhh46LUxWteqbUYeZyZaiUmQqbmq//d317z4x99wf/1//JfePfma46He3751S+xRrPb9LgvXmFCz//81T9hjObLZ3u+/uU7fEjc3S2odKRVBu2TZC5MC8HLRrosgiQ4I2l6Vjtur58xh8BXb96QfWBoFNY5yPD+zXv87CkBTlPimDLvUkTlb5gOMz/9yY+4ernnpz/8Ma9ff839wx2//uoXLFMgpEL3wtC3jt1+w7AZ2O63/PJXv+ZwPHE+ezHeSYrjIaCU4tXnOwwtpjSE6UScFlrtUDETRons7foe9+w5z/Z79I0V90IK8/GB6SAdz32jMVbTNIaUAjkFzud7IKE1vHz1nOvrPT/58Y8pbsNsNpetUuR5tUAwXopSpcEESvSoJKQsP40V+gWr6mJpC8VkiitECzkpolOkpIhRMfqMT4msZAGI63j9kg0h104iE5XM1q2RpSJHXfNJFBoJxrLGoaJcJy2SVWG1JYQFwky72eC6DtfIpqO15vbmhsY1WGcFCYvynsUw8/7t19imxdiGXS95DD7O+ONEygXqOfys1zz74hafDeblZxzGmYeHe969WxjPM6fjSEiBvASCLVhTcLpFYzCmx+eICB0jlsecDHmlIuczFJSKl3LBkXAlXTp6s9puw4WsCDIzXwO6tLhkXTasXN/jonhET9Z1SLE6c+OmVNGiWkAo4T8YGedTzGPksZJACFQqwhtQRq7/UHh4P7JMGb8o9vs9bddBtLSq53qwXLcdvbFSSPrA0FiMcaA0iw90bsEqQDe1QNDVuMzI2pITJXm0GmisRTUtGUWaIymraoMtzZMQfW2NYRZy6/39PbYZ0dYRK3LQNA1aCyq63++JMTKOIyF4WT+to2ksbduIaoJC8CKzvUDo/2o3+z/9+GOKg/XrtSD4VzVi+D5P4PsWFZ/6/h/yrn76O3/Qnepbcx2JDNZrZgOlVsiBGDy5wr3Ois963zUYU5nFusZL1+p3Te0TWU6uoUuFiiVK80KpI4vEsiz4xTNNk8wai8JqI5V1KdWa1dG2rczZgxeZlFIiP7NWImJ9giiyrayAkivEKgmMlLVrWR3Bql+DenwdQ2e52g18/uolx/s3PMQFVRIlBpYxkf0VycKHt1/TtS3mak/fdWy3Oz68ORBC4HQa6ZShNYYye4lTjoFYfeO1FvSl73rspscs4hznrAQl5Qoblpix2qKdIUwi0SyxMB5HDlYzvjjjrGZzveP5sxu6VvPh7htKnlmWhbAkFpvoa4BVjpF5mhnPE+ejJyaIEaYJrDVIIJwiR4VBi+Y+g18CPmR8FIOa8/Eo2n3X1LAm5DxJkZQjfhFzqNAaUAWJxJ2lWMiRYehxzkmAj5Wxz6VVLU+gbS1yLV0t+YoRiRelWtmufdcqy1s3KiPnUFEKiyabQjSKvlGYJMK+lXgmDgCFWAq2bl6xdsH1IqGgSEXOxawUZU00dE7UJKZIp4k4X+YUQWm0rcE7Xa7eIFrcL42+2In7xYuvfh3ldfW6dFX7rrLkjuSUJaLbGKxtRG+vNK+eNQx9oTMtBMdRObLXpKQu8/tUqFC3QauGWGJ95ZFKMUSTQBWJeFCCCORaDWgEfbJrgaCoo4YL/XO98i8jBhCyZHraEV/KiBqnvv59GTtU07SULwPUC8KguERPWytFv1FiRKTQlJIoWs7bUjNWwpKhRGDEqRaVLUqJ14W2lkZbrBY/imI0saKgSmmy1SSraayprpwSWpaKxmAoUd65deSitRY5KxprqR4lrEAN2tR01ydExbTM6JTQJqBdU/kJ6uL3stls0braStdIdmtEellKhXdZCZGaNY32r+n4eHv7viOG9etPjRy+z/EXIXP85xIbP3V/n0Ixck5M07lyCAwqC3zm5zN+GgnLKNpfa7jeDWyHnqFvWcZzvQq4bPoxCWrgvb+c6Hl1PFOaeV5QZSZX1cEye+ZREISwLGgkG95biwIma1kWz3ieLh9w4xq2O03T97RDz+IXtsc987ywLJ5pluCT6bTIWEUrYlaXxe1SFBgjjGRT55tACp5lOnO8f89yPkBc+Hd/8xPOxwfefPNrCDcUn3j/za8oOfGN1vzo3/7f+NGPtzx8uCfNM+/evmd+OArRzQcsglKMo/RL7QA311f88Isf4rY9x3Hk7nC6pEu+f39HyYWmb+iaHmssd+4DJSQaX5jHM18fDyzTA69ePeff8ne8+vw5X37+nJTPfP3NO/7p57/l3euRXEYebu/Y7nqubrYcPhyZRs8yQggQfKVn5MLhw8zpyjPeJnbbPaYY0uz5+rcPfPP6yHYPbWc43t9D9dR//vIl292WF69eEf1S0zMnrDNsysD+akfbOrTKnM9HPtydePf2A8vsud7f0l4pmtv9BT42FUswKFAWtELZdQNVKO1l0zJOkIY6ZJJM0HxBIqzVYJUo1rBQNC91h08WnyJzTPicMSGyZGGuawVBgVWapDRRqRqfq/A5E1TGl0KOYuyl0NWnX4krZyksMROKSDeN0Sgjo7pc55+nWc790/HE4XDgdDrhp5mu6/jss8+IMdFHsUVGiRTPkKuxlGypJXn8kinK8pMvXuKj4nzT8Wp7zfHo+O03mdN55nAcWWaxBM7RCppmhMwrAtBIUvInE7Bk0B6rIkZlio5oVQRNSAkX6xio7k1rUbR69gCPaZCs35cMjazqp1MLrqClIChPbivIa90lGVGmnEhRVIKlVJKigaaRsChTGkkqNZplHlFa0XTiewEQtSJOgdO9R/mGcmXZ7rcXkyOVjoS4yGOF6uOiNFoXHEJQbLWWsClliGiyknGN0pAQBMNqhdWKpmko2oKFJSQWn4hFXlnTNDJS0ML1iSkxLos0Lkqx3V9dCpHj4SQFQkUQzuPI+XggBE/bOrquZbsZaNsGWzlYupIlA787cv7LPz79in7f/vgx/+Dpbd/n+LPLHNfbPvU1fHe3/12/Dzypt+Vf9YcqgqTk68u3Hr8P5fJ9eezHe3z8ncfvawrWmNopZGJYSNETlomSAlZB00nWgNWaFDxTDkIiA9YJpAJSlI0/1rjmFJ8QBWuXTlFSEITAsixVPy4RxapWxPMsqMJ4PovR0exJOZGz2IKKtGol8iga56pXfcGGIAo1y8XPXE4See+Mle5YEBDQWl5ByYnxPHI6Hnm4/8A0npnGM//w5g6jgngHpAWS4svPX2KqamN/c80chXCYi1jbxqpJLqsplIauE1nT85c3DP1A8IE4Qk6JF7fPSIit9XSeocDV9orgA8FHplPAUrjqGonQLRmy53B/x9///T8Q0sj19Yar3QZKQqnI16/vmWaRLwYfuP9wJkbpAtc9iAK77R6U5s2HM5vtxH57JHlLIfHq5StKdrTOsdk3oAqLn0XxYgzJe+bzmbu3b7CNRZtqdJQLKQT8NIuevCjapuPm+pbtdsMw9JQilrp+XmqHrbCqwsjVZ54iaMAqYJSiAWzXC1cB4c6okijrCyrCL1CAMmJ1C5p2kDm6SQWTCi5B8QWXMiomXC74UtAZkR0iLn8FjVWQjMbbhuC0yCNLgiyjilzlrSlmUdg0LStBdwo1PbUUuoqiKSuWvG0uWNvgnANjUVY/0vWLFO+57pACqUthlitnYrr7OUUZOiyvrhS3mw3bznA8LXy4H/lwd2aaA6cxkjMEXzDaVUJhRPwRI1oZcRlUhaxXJn81tFKrfPHJWqUeOYfl6d9PfkZIhfpSAKT6d1aqFgeQ1+9XDhBFoZODktHFitGYhlLkGlJa+CK6aLKHojPogsYJyTIZUjVMymkhl4L3kd5tcKqhtR00Ct0UbOXf5MozWRERXbgQWdUqpdAFihinGatpCiTE3MlU5MNohbLiqoiSXIroRaYdYxJZplVSKORMLFRzN0BpQoicxonf/vYrDocDv/3ma0ophBBoG0fbOD7//DOU0jRNi7VWAvlyIq1FqH6Cxv2VHP8cleBfDYLwqeJCyT/WW+W2y2DuCRpQHr9/+b2nVVd5/OLxdx6/1hQ6a6p9aa7FwULwMyqLeUjfSnCT0Ur03UukqRdHRqMrVJtSfHQ2TEnIOrXCBVkwlKqmICHiF3EIIwvrXdUFdFkWCRValkuh4WOo95nEIMVYsVVWlRmcMtYmsTzNYJyYnay/I+OKuuFcctprV4YUEcssRcnh4Z55OrNME//0j19ztXP87CdbSvKUrPny85c0ztG1DaHbk08VRq2Qbq6yypIgG/kA2tYyDB2vXr3Ctg3eL8LZ0Irb6xsyIsd8//Y9CsXN9TX3H+5ZzjPTOdBbTbvXdNXpcfYnTscH3t890LSRFG95+dlz2kbT94oQJ+4fFtAQYmQcYyWFaqLPF2L9dtiRi+b9w4Hdh4mb7YmSFV1neH77DFWgbzX9doMPnm9ev744BKYQmHMi+Jmr6z390AsaUCQgaNEzOUa00zjX0jQNm81A27bkVAg+EudZPnutKUaLfa8WbsBagIrEzAhPwChs28sMuCSK9+QsI4AV183UDcqsMKymsRlTwOaCiQWXCtiCiwXlMzZkXMoQE6GIBE4S7gxOWZJWNNYyJUUksySRF6aSCXWx9ynTOlGOpCBF8ly5OCUn0FauBeuwbSd5DZ3YemtXNxej14k+qSo/KAXlRF5njfgFpJy4u/sF1rUMmyv2u2u07bjd73g4eq6GCafueTjOLP6M92Ikppyrm3OCEhAqpiITQEWcLlV+mC4FdIrqwgdYC4HH0cLjuqOe/IxG1WJPUIJci4PypFAotUBY26GCRiUhVgLYum6oywPWBicXkkcIS1rhWisEywQ5iC9KWaRQnybPtp9obcum26KSxuSM6oR7pJSMPwxK1BoKdF7Jskkq6WIoiJTVaIUzcj5moyV/ohThMhmN1Q1ryNrkQx0RJKyTKss1DaYUUlHV/l3wrxATx8OR3371FV9/8zWn00ncR7uOzz57xc3NDa9evUQpcV6UjIIi6bZ18/tTeG6fygz6Q0FLn/r9T422v09j/PH9/iFr5o/v87tG/R8XB3/M8c8uENY40k89yfWD+tSL/vjnPz5+h2T4ie//PpLi93mMj32yjdbsOkvwC/O0kJeJtMykZa7OaBlfEtlqlNMYJR1ayUnmhqWQKqNZQlYSKUhEc6rSnFJXl7SEmmeeLjkCfSPcgmWahLi1RJHxNQ3H45F1gQ9BYlVP55No4Au4VlLhjBPf84LEpFoM2mSZ2RYwwRBC4Hw+MQyycYSQMZJlxTKLZOknP3zOzc0VAM4Y2sbw/JlitzXstgMpePyUuf3yFZthYLsZ+H/+97f8/DdHfvXbiYbIroUYRK7ROUVjDI01DEPPsBno2pailZgaASEnHsY72q6TlMC2I4bIw4c7SJlN1/Hy2RZdPDmfMKtfRZPFhjbB1199w/3dPe2gaduG3W7Hqxe39H3DskSWkJmWRNNu8QF++5s35CyISvAWYxu+uH6ODoavf3vH4eGEMUnIYFoe7+HhQYhSgKsmMdN0RmtFP3SQIppM17aM08hvv/oNbdfimobdfk8uIkEdNgOubXjz+h12s6e9eqDvOhrXsN/v6ky10NgaQT30KC2STCqBUbmelAIleRJe0j1VtRcuEqG0yldXnXzMR3JF4JqicBlsEAe9YUmMU2QJiSZEfCosAZL3ZAyhOFLRqKIpSRNRKGeJGWIFNnIBV6DUxE3ddtimY+dapnFknibe3B+kWCiJoevpu4Gb66ua+2FY5pHxeOJ0OFT/BSEFN86x322xzkrGQwFypAt3WCxuntHMKNPTsOe6aehf7Nhtd5ynxNVXB+4ezry/O12keD4tLDGRQqH4BUWgUZ7GZpwrbHon0LnVnMIJRbow51fJoTQxsNI2Vj6IqYRgFaOwC1dOhhJV0WrfnEoUUmPJF9LyNMbH+9L6cSyohSukTOUOrf5XBVJQFJ0k/LMUrDLkHNFKY7uGNM8c336gLAtN5TN98cM93XVDKYj9ciuNy/q+axRd0148lIBqrJawFY2NMTCPI0vIRONoukR/1dK0TkKpKgmylDp+HUe6fhAuglYSKKRVLSBlFGGMFLvH84m2bdlst3z22Wf84Ac/4PrZLa1zzMsiiIWCFAPDMLDf7zmcToQYv3NP+GOOj/exj/eb79qH/lBx8IeKmI9/56kB1Mf74zrCjnWsvbq6WiuE0Kc/v5pJfZ/jzxLW9F3OhevXH78R3ye04qNbfpel8WQ0cMH1vus5Ao+0FfWtYmOdw1fkX6xES0ZaXvlzkZuVUm8vgiuuzKQVvpeSXrrw2q3nlKtHuBC0viU/iZEUV13vGobyGDqyjgQuz7fOb3MtLELNXchCEcYUIRGsc8xSFxNrzON91jjj9bMpOVOUIqVCSUWc1Uq5mI7EIBbNKUWG3tE4kT5pS+1WpXDKOXE8Hrm7f2DyAkVmB8Wq+hwkbMXVE/aCjlSIVreOWB0fnWsgSyeSkIyKlfrZNRaVE8bkR3Y3skg6jdhJUyQ4SmU609P3XXV+W7CuYF0B3QGZvu+FJFgUxjQY3Ui+Q4LTacaHM8ZErC00jWi2ffRAwVh5f8TjwGOtRqm2sswlaCcGzzJN8nmFUOOKE/O8YIzoyj2BUEamdEfabum6lsZW8xurCUXkYgBWy0zfGhkxaA0qGlDV8c9kMCKJLEXm12rtXrWpM+MDEvJb9f5aVbOggs4FanwxVmyFmww+ZmIu6KLrPHmF1DVJrbukAqOlQy6QiBI7XMmX2jlJ/IsJtKHoTE6FrDRZiQWP0QbtGgiSkRBLjR9OCZMSKCW5IzW6XRdQJHoD1hQanSAHQJPKKBwDpRjaFq0Nz2+3WGcwznKePT5E0hKEbc+jHFErCSpSFJaUxUY8Q5N0Ja6uP1f1CYWLhFPXz0kUBraO25LIUZWca7qugStmII6nss6pkmsOx+PQojw1Tyjin6BqkbcqKgqgSpQI5CeI61osagU5BgKZZYTsHCVH5rmhmVX1GKi8h1WSneT6XlHccvGxqDwXRR2lZUqKJOWJPqCtp2SJJF+TFlPSxFjdIdcle4Vj6nqe6/dkU6vjglxQStN2LcNmw2azoWnaWkDIwq0U1Y2xoes6TuP43RvCn3D8vib0DzWrfyqi8V2P9fG/1z9Pi4TVe+Tp/vz0+L7P51/diOFTh/podCC3lcug7yk56Dvv48mPXCpx9fhGqQoHh3kh+oXsF8gRVZIQzFGYOpO0SpzsBCyQWbuqrcMqIfGLSLckPCn/Tv1SilyE03lEKSH2aLhcgKsjmvdyoTnniEFkSI+Ex1rUrCMJ9ZRrUIg5kVEM3YCvG72zDqUQwxSVSSFijSP4zOFuom2h6/TF3vl0OnB3/4FpPPLq9oYYZr7++hs+f3lD21ru7+8ZxzMPjeM3X73nq9dnyQVAYon3nZE8AtfQWEtjZNwxjxNf/ea3AqMbxbDfY5yVDbAAKaNSRsUMqwIkFVpjsU2mbzXznAmhEIvwLLp2XWMTr998w3a34fr6lt1uz+7K8OHuBNphTMebt0dyDvzN33zB4gvLUthub8XuWI2M08I4zaQ0Ym3k9hb0NAlK0DcoDT4k4lGeW9NCP7Q4q+kaR9843n14y/k8kkNiiRPLNDOPi8C988z11Q1Du8Fay2maeff6F4SXLxg2W0iFzWbDfr9nngIhBo7HI5vtlqurK/Z7SUk0nYOUKDEKoYICSjaknBKLl+KEVLktGpIaoYSq9teilkG6k7YoOiBbxbV2pKQIUXM4BuYls5SMLzBnVaOPRfFg1g3VmDpb1+S8SARSSpfrzLQNnTXcOnfpdkoRzsOb+wNd1/HqeY9t+zpmMOLAuczVcCxzmmaB7auKojHwwxc7nLNo6/BJEVJgOr/HF8tSWlR7Td/0/OTHeyLPCBj+/h9/zf3DEXW/cNJCwCQacfhre6m5NBzmMzEuzP7M3MOztsPq1U4JGZmkLMiRgsZoNqahdZZuGIjBM50esAV0zrTVEVMQCNloLeKNkuXjwyiF65pLO1P0E2a+Wp01y+OooW65OanL2rY2VmKXXouIGk9hdaJEgyoL794XTnN7yZdYxTSyvgn6mbLExeeMFEpoXNPVdqigSyQlRSmKuMwS0BQ8pjFYpWkbR8oGrSNaV8OlLLbToNbIDCHe1IIz5kwICefEdO3Zs2fsr67YbLe0TVfNorIU7tbS9x1D37Hdbrh7ePj9G8Jf3FF+J2Pi4+LgkfP2uD986vhjipW/iAIBPr3/f+u274B34Nsox1N/8N+prkrBzxPRe5JfIAV0TmInWrtCIfTUSWGulXAKlzHI+oHJh1Xn/uvspyiZaRbJIdBKEWPEaIHwyWLZapQsfNlqxnEkxVh1wxLKlGK6IAtrgImqHVwppZIUpZJMNfSnVPfHlZjYNQ0xLqQUyUkcImdg21n2u4bPP/+M3baj6xu6fqCUzP7qivNJc393J92osWQ0c0hMi0dpTT84bq8UhEKOq1FHNRdCut+CLPTTNNL2Ha3rLjChorDME9M0cT4eCSHKmMaLxK11DblEgsk0raHtFUsIlAwhVtM9p7m9vaXfbBg2O2YfmeaF33z1GmNbum7H4sWQ1zYOjEI7xVfvXhN8pm17rrueW21A9Wjt6bvCssz4sND1PUoVpulM0xq0dmw2LcYoxtORNylw98ERUgClubnaMy6LxHCnhEazHbbstlcM3YavvvkGjOZmf4XTluQDX/36N+z2e6IPdMMGrS1N09O2A007MC6ROWQ2VMe6ogAra6tRiMlvJqoknXwOVb0icjKlvHTC1UJYjH+kKLVVcpmVpmRDSRabNbPNzNmxZMWURCq51ImHL5UtoGSmnig4qyitWxtjSsnYtaBVCpszxjUXKDumSAGWEIRQaRvaQeNSwDqLX2ZSCITg5dxPCiPDfaZTZGYhxMTDOTD6yP3oSdqRbE9//RLXbWmuIpgGY1q++MHA7TPH1Z3l/tBy/+A4HI7iThoTpVR/AjVg3MDGXhH0yIc8SyaCqt4hCrRVOCdKh3XesERYzgsqR8BAEV1BrgZXZAk+WpVDcqGuaxYk8wRGVo9y1tqXVESx/lJtopx6NHdab18TNFUtQHIGbzy5iAFXus+Y0eKqB4q1BlezYHS9Vkuuo4GcCbmgjaWpMlZZQvUFSUyxOrzGiLGCnDpt0bmQiyCJxhiW8Jg8m4sUIWuQ0+JDjbNPbLdbrm9uePXyM/b7K/qhjiYqiqSq7fNmM+Cs/R2w+a/hWK+fjxGE1d/g4+LgKYq/SkqfHp+67VPHX0yB8Oc41jfr44LhcuQinvLBE4MXdULJl6JgNSjRdZSwwoqpGiAB36ronjon5lqN56owcJVyFqOE4xilyVUtrbWS1qXIfYcQhMy2FghrhahWnfyjvdo6log1EjWVAlog2hwD1rRCVHOOFH11dZQxSASazrHbD7x4+ZKhcxgibSdEuGGzFW5EBpSp3aKW+eM8oW3DMLRc7w3LqeDDatBRLVJLvmxgMYH3C23f0DhbfQSkG1nmhXnxTGdRG5SU8VMgh4Tb7wWazop+Y3CtQY0R7wt+BttA02l2uz1tP9C0PQ+new6nkdev3+Gans2uAB0oh7JOJK1G8/bun5jnwM9++DM2w47NsEHbglYepeB4eCCfM13XUUpiWUaa1tI0lqurHSlFHg73zPNIIdN2Hd0wcHV1JV1YTISUxfa57enbgcZ13N89MGw3XN8+QylD9Il3b94SloA1jlvb0LStjEBsg3UtD6ezQMq2ZSXDGWMEutYGsb8SPkJSCl/kcy6l0JqEIQoRrvIJqtPCJSxMK4XSVjTzxaEizCYzJceSwArpH5shBkHQcsl1tFCBcwO0TsYIuSATAiVjEWswuaBNumwmxUth4mO8xA03zpGzQxspkEU3/0i2snUQMI2RHALnUfgNp2nmfpzBNahu4EZlunyFGSxadWjT8+L5nkxPvzEM91JsKiX2xMfDVM9bJaZm2tK4Bh/vmLK66P6dlgwVqzWDrWLTkonJo1Pk7GecKvRaXAdByLsqCyoA5SKXXEcF6xGfFAi5ujPKJiEjhnUK8Tg8lStI83h/TwsEnhQINiYkfzIwpUAxYp/trKlKgUbGgqb+8loglExMGeukqCsm15WsILHj4kKrU5Dv19GGNuaiinHOiRvsEmSEsa5bdbSSc2ZZ/GWt2+12XF9d8/z5C3a7HV3XsTrGppLFBbWSGJVSn0Rs/xqOjw2O1rV+LRCektCBTzfB9VCfbLl/9/irLxAuaWJPCoNPVU+lzgnD8YESY+2sI9Sux1ycEutFXD3Bc8pE7+vmJ92M3B+sg411w57CLAtlgau2oVlJOTFxSA91gddVEpWfJCqKidK8zMzzfLlQCwjB5zL/yqRS8DESgsC3McEcahx0jGIVq1fdumwa0+TRGj6/UvzsRz/gh198zstXn6FVYZkPDNs9Sive3D8wj2d0Y5hT5LQErrRhTgsPp5GbZ5+xvemwBd589YGvx3e1hirVHEgIU20NsoptgzNGdPPjKJY1pXA6nTmfJ2KQOXmjxVExZ0Fwbq53/OTvvsAH8Zg4nxdBKBRoa0BpvvrmPdo8UJTh4SAjgzkWfIn4cuaXX70nRMVPfvyCGBPLEmlbjbUt5+WOyMycT+T0lr6z/OynP6HbDGznPTkuwjloGvb7Lfv9hpcvn9F3LcOm5/7+nuPxyDevX5NT5PBwT04iofU+cR5HXn9zjzUd+/2esCTu5gc+fHjgRz/5Mdvdnh9/+ROU0QSf+e9//0/4EPEp8erzz/nyhz+k3+5QWvP+wwHbOFzb0HcdKC1zfK0wtmBcQ06RZZ7wPhDjgrGdLBBZmAgUUHlFuWQTk5iiVLFqzW7fsS2aJRmWpJgS9D4xxYydA+eQMSGgfCTkzJIyDou1lmLEXz8mfeHM5AxZi+titpqcG/q+JYbI4XSkbVoa5yhtI5tP5Sa4WoCviIezlkbBMk34pXCeNUtQxCLokO0czaah6xKNm6F8IEVLyYaQB5Rx7PuBoev5/OWG+8+eM46e1988cDyMHI8j4ymwpMx4nil9C50jRVkbVE5C+wD6pLCq0FIq+1/jQqI1UBpNzOKxkHPAqoxThUYLqmArirBu7lnBZB7XqaIMVE1EqemRdfZ6GbEqxGlRq+q7VWRcUFQFLVeqhBKqSqroz5ISSWVcFAM4HyHEjDOaxulHnkSpTIgixOJ5mlCNomiLMm2VR0r6o6ppnuvsQNfOSiaMAodLDgrS2FRuVYyR0+nMb7/6inGaMcbx+Rdf8uWXX/Dlj3/EbjPgnGWZJ5F7p3jZOJXWLMvM8XAUC/X/DRzr/vAUOVj3t3VM/SlC5V8VB0GOjzgI32Im/m4aw1pNr+S2dS73lBx0Icuss5wUSdUtsWTZoIWIU098xbcuFum8U62UJV1vpRSvjyVkQMi5iN4/ySyvyYlsNMF7SpauuW0aIfIZezFQWqtBCWaqMFKF1sqFjri+BqmoL51Wlrjm6P1FQ15ynRoqsXguRWRpvXM8u9ny/Nkznj9/Ttt2QKKUjrYfyCVxOoxkFG3fo20D2pCKyJhCXnkhBddYjNHSuayfh6qfSHn0YbCrtKp2Hbm+ohQjKcrYQN6/9bkjf9fiqNT3WymDMtQwI03OisNxoqBJRXH3sDDNkWkuoBJq8cy1eDqczlC7X2WyZAPoyJImwuTZ9FoSNjcbVrb5aRmJOWMbkTgqBeez5DBsdwN936G1ICRLCPiQakckIVWr10WMwimRzk6QpRgSKWa6TuxqY8rEkAgxkQssS+B4GsUKXGkWv9D1HV0pMh4ospGYqm13xgh5tmkoOUPRGNPL9Fw9ie8tSOQ0InVTrAFDQqwTrwyDy6bOsRW9VqgovISipDhNUbwYJFx5jVyW68zUoKmshdCbi1y5Sa3XlibpddGLRKWIRl+6UxRoo7FOzMOMFoc/A8zHiZAUEYNuWpxWoBpMY3GtQ+lCKYEUJkrWZG3QZFRuMI2h0S3KWvS+Z9O26GToXUtrGz7kI8scmCZPyIWUFWtUkxT0cp5Xxw8hGWZbIX0LGUyS98GURFYimXbKELXYOdvq3riqIoqCxZonxKm1K1xxtox64vBI/axQNY9APXoZXMjN5VENllR976mfeVHkoklZEXMhJjkvtMr1OamKWMrXJRdiCGgdK6xaVurAZd1T1cNDEklXVjcXbla+8MjWgKZCiJF5mTkcDuScadqG/dWVhL4Nw0XOvY4mpOGrSjqlSCkL+fl7Zg38pR2/jyi57hVrMyyqK/3pouCvqUB4jHL59m3r1fP068ejXL6n14ulLkR8a4N/krToF+IyV125LJ5y0uta3VfzmyLIgVgHR2IMchFqLWlqSnwRlCmYLFnyKWamaWHxnmmZCVbTKMU0TSzzwvl05mq3Z+h7drudRBXPXl5D/bl5XliCf3x1WkiNRRfx6gdifiSrhBSJMRPngDLCJiYHSlGkokRXnmBJcHW95d//+/8df/t3P+WzVy8wRoxg284BBds4Hh4+YJqe292WobM4ZwlZE7Ih4JjPJ0Ka8dETYhK3Z2Rk4pwQ5HJJ5CJQtnOOQsGHRUYhqro6rt2UaMCq1bU81xwD0znz228CTSPMdNP0OB0pKlAwLB7e3t8RQmHx8PUHGBfoW0glEnNks4W2gd9+/Y7tvuX6poO4UCjYjeN4PHE6zfzn//TvefH8GdfPn1M0TH7mcDpBSdzebEHDuEz84z/+imFo+Tf/5ofc3t5ye3vLy5cvOZ7O/OY3X3F//w0fPhzIBbp+4PNXz9j0G4x2qGJwRrwkvM+cTxNKNVUzD123odMa07agNO/e35PevL8gSLvdlt1uS4oR5wzWKJrG0DjL1XaDcganG1QO6Kxw7S2KUN/TaoATiiRl5iSqCVm3UWRUCXS2vcjyHLXFbS1dKuAK7ZxpjHTIS4iMxbOkxJzTypWrRbumaF3TACFqCLEQSxLDpZIxWhj1IRZKDiKOUKBKxhiNs111zBO5VkmZuyVSUgHX0vctvQYsFFXISvgYwc/47MEImdK1C9o2xBhxbsA2G17sbtFXDV88e8nhMHE4TPz857/l4f7IN1+/4T5FpinhjBXH1RrUJqZFBXIiRC/vTzboajrlC1gUphhcAYPBqSgjEpWxKl1k01qBMkpYt9TPQdVFv/YglXpUScpruVII0cu4Z+VHAKgoiCfx0lAkY0BrFOI3odcRpRJkYYnSOFDESMmZR5mvNgLjz+OEKQbtCsq0KFPTbI2pclUpEqAmPlar92meGaeZfthIhkSpUdMpM3rP/eHI69evsU3D7uqKzz//nBcvXrDZbL7VLSsU1jiapqVpOqhhcPM889c4ZHiKfH/K62C9bbUecM79zs/Cd/MSPnX8RRQI8D1IihUtePzmihz8bvW0FgXi6/04v8F7IRTl9GRFU3Ujlmte1y44pyia8zpqePwQ1oAV/fih1e/lijjEGDlNMqMsBeZp4nA4QM4s83zplkOIMmvLjyOCVKVepT63Qqb+n1VjfBlB1I7BGYWxBmOtOMeVx8jpkqE1sN/0/OhHP+LZ8xcMux2H+3doLcmEsUBIGWUdpUSWWMhz4LwsfP3mHcsiML8voxCflsA4zUKG8ohdq0ukKJK1pGQG7Zy9mMdog5g2WcdkZXHxsyhEUhTXuLZXbIeethcJ4HZ3Tdf3bHcRHxLTvFCUoaC4CfnSFdlfv+HhOKI1HMbA4RBghn6w/Lv//Q8YNg3DVnwkYoq8u3uPbi3NYMk6cTif+P/8f/9XutbRbwe+/NEP8cvE6XjH6RRlY25gu2u5vr7i2bNb9vt9dc9UXO32/ORHjs8/izTtgFKGoiwgGQW3Ny94OB357du3nMYZbQzb3Umic61D10Q+7RpBhUrBOCvEVArJzyQ/kcOIsxZnFW1raVuHS4uY4FDI8wRhwXQbtC4UU4fhOoOS8xldo6hzxaDrJpGReGvJ/hCvX20VVhc2udSobEtjHCEq5gXG5Dgnx7QIeXCavYwWioKaFih9vMQaxRLl/jbtBd0qSa7FXAl+sllW/LCITJJSaK/3guaVLJQcrXCtgeo6GHMQIlyRIKWiFLt+hzYWHwt5mZgnT1kS1ra07RW7RtFdO8yPbhmf93z2rOVX9/e8Pp0qiTFDXLDFYrQgDto6dNuLb0SMhGIldjknieau6ILEHWU0khgrnXp5JPFrMCf9pBBYu0JxUlzNr54WCIaCKsKXckpjK4HSlFRnDFFQCoBsJEtBGZRJKFVzW6AmhNaPv657uTyiCFobYpYmhBglbTNUIqbOlcwtbrNGCT8hJ8GRUjKXuXmFQ4TXECMhRg4PB86nEyllrrc7bm7lWuq6njWhdmXzG2No25amFY+RdZ3Xxopp0l9hkQCPe9lTDsJThcNaAEjOS/rfRoHwpxyfImk89RdYT7aVDEMINFmuClXJQ0qJD/yaspZXMk5KgjRU8p2MEeQH10nDumk/qfUu44Y4zxTvcc4RQmCeZ4zSpBBpXCMQbyoyw63FzIWcWL0OyKU6sNWUrlJqUJAs8ALBPZr5GKtJPBYH1LFEazW7TcfLly+5urqi7zru6ihCmfZiJ2uaViKSoxcTqOR5/fVrvM8sC8QyAppWG4KXQiklURfIGCHLHNrKjLw1pm4NoIyI+rXRlyjXnES5Fz20g6LvLdvNgOsd1ln6fsdmuyX3Ch8SzbxQqDK7rMRh0jWcfaTtDCEnFmbCQyAUzca2/ORvPqfrG1xr6TcNPnjmfzhg20i3KWinmfzCm9ev+eIHrxg2L3j2/DnTeOL+/i3ncWaZPK9etgwbcUfcbgY2Q49fhGDa9z1N2wOaze6GEAvjuDBOnlwUtze3zCFyPs/MXlCM0+hxTSspiG2DNgZlXWWSJ7qhQxsNdZNROaCyxzlLaxWpc+TWMelE4yxWa5HupojO20usd9G5wtcedCKrSDZ1xBZD3SESsV4XRkuIj1ZFfBiUIDFGSXaDU5YYFcHBKTlcatBEZhI+x8u5pxWgJW9kTZHQCOGsaZpLuFmsaF6dN7GO71YUMNU5lt32UtTEUE2tFK53YhClNSEu5CzcnFxEmtk3nTy+n1j8QvAZYiY3HZ2xdLZhaBoaPeC943ZvyS5TSIzTKA6ovm7wJePaDmscxjqisiQdZUOsKGOpMk2VHNQzX9e4Jk2F8mvXrXKhnZN8rVfnVVWLAlXzGFRFV9YCQUzNjFI0SgtnSikJl8oZSsAUcUpUSgKVijLYsqDVuqEKR8rkuoYVRS4iX0TefVYX29WPBZUoKQqp1TyOJEz1dVmLuVIkUTQXLhC3FA35oro6nU+M0wQoNpsNNzc31fegkZ+rKBdIR22dwzonAVFZ1mFjrHCS/hrlDB8dT/cz+DbnzlT/m1x9dp4ef4UchD/t+FSRsBYH3vuLFjuEgI6evkKr+dI5yWWsiowPsuzw5PRod1zqXDzGAkVQAWWkk811tqa1pm07lBZoL5ZMsZa+7+m7Dmcc0ziyLJ77+3uMNhhjLx9wCEFsU9dZfKU+55xqdoHwEkKOlwjZ1YGtXaFKwOi6gcYoL1QrfvKTL/nZz37Ml19+iXEGbeD5y1coVbBWMYcZ4xpubq8ZxxMfPrzDLyNp1py8bOTKQg4ZjWK/2zI4z9UwszxEVCqy2ZdCKQmtZ3KWDtfHiE8BtQbea8MyzaQoCI6xYoD0xQ9e8urFM148e44bWsx1z4e7e755/cDh4YTSlqYbWPzM4gNfffOW65tbfvzTn/Hv/t3/AbTi4fzAL379K3z4b/yb//AzPv/BS/7L//k/UXQiFs/Pf/kPTOnMj//uBcPQMQwD/vCM118d+L//P/6ew3Hm/fu3/Nt/8zOM0VzdXKF1pmkiP/7JD9kOPafzkfP5iFaKq/0NSwiM04lf/epr7u+PdMMVWjuMaZiXREiJ//W//T3nELlfgrig5czb9we6vmfY7tjud7i2oela2rZj2A50XVONtwKGQphHxrLgjIbOooNFLZZDOOCqUY2tbO/xsBMEoMLF2oAxDZi6MxRf2egLpWY7JL9QUpQuGFBlkU0kgy6K1ig6pbhyFrCU0nJWAye14eHhyDTPvGsM0+KZfCCkXP3GYk2EVGgl+njXdsQgdsiLlljrlEJFM4STIRHDUjQXgN0GnyOzF1mwUoqrvKNrWoauAzoEZQyYIhvw9MED4jpncqYtBR1mVA4sZSEaU218wZXCvov8hx9t+JvPb3j75j3H05mv37xjmmb8lMT4zLWYfk/nenTr2Owd8xJ4OI4X19MYC6kUYsoVPXmyVuk65y+RYX4tI55KopIGvqZ2alCqqoJkcIMu0Bgh8rbG0GqFUwqHoAImJUxFYhprMKqOAvyINhNOI+Mpa8BpHDKK1EX0FyrnqjSQv9cNKKYo6FQClZXIUkvC1E3KGCP5HEk4Bm3b0lWDspDEVXRZFuZ55vXrN4QQefXqFT/84Y/47AefM2xkFHE6nWoB9YioAJWQWDj55UJOFGztr+tYI9FXk7t1XwhB1g2Qc6ht2yf8DH35+unxPeuDv+4C4Q8hCJco5jqz1zGtTYqgX5UtLSQ5KNU5kArfy2b9SPJaJX1FWD9coATkhLbWsmbtNSmCswzDQAwRZxzvUmLKkuiYjUUpja8Ew1y7j0pJFAShlAsRMNeLN1dUYC2eV7LkWu1b7WSB1yuRUnNzc8PNzQ3DMFzg3q7rSTmS0oLWFtc0NLahKOjGMzlHdAi0XUcpGas1ekpoDPv9HoZI3ng+pHvyErAWVCqUWIhRwoWWxZOoCEzmQpwEIaA5J++jzjB0LdtB8uZTzhwfjtw/HDmdR6bRY2yh6MTxNDFOM+/vzphmQ87QdmJpXCzsH3Zsdz1dZ3GNRhlIObKEiYRHmcx2P9D3LV3vKLPDOIu2hdPkye8L128+sOktbdtyNqaqNETHn7NlPJ1r8VmNZZaF83nieBzxQaGUBdUQokjGxnNgyoVjVigipWSmJRKTRhmHa6s6wTm01nRte7H3lcU3EGIUUpxVNLrBF4NKGoIs+l3T0LUO5xqWFCujXGOchO6UtsLZWpNVpb+qJJ+LLpRixB0zCUxOEgWMzrIpaMRfw5kaNKYNRTmyaijbnsZJhzfOnnb2jHMkJHEpLEBO5TIasFqJpphCToakCgoZH8i1K8TgtKqNKPig8TEwh4mShHfUhgjKoHVCFy2IYDYSUKa1oICliF2wllm5mARlVFoqgRfEmEhoiI0SF8u8ael1weQbOefmwOTF4yAtMxSLcRrVCtLjWn2RECSJtSSnLMU8Ep+tLqRbMDlQ0hHWAqKiJrI+lcpZFD8FXYmAGjFHs0rUDNkootJEhRQGSYoDA5RiRVqdDSoXlI5kI94rWgnnID91ZS3CdxJ5pdBXjTEk1AXhVCrK/aRH9HJdf1ajzVwyXXU8PJ5HSsmVlCxr8DSOoDVX1zfsdzt2260QECuB0Vld4fFSib2pWgtHlmm8jHu/y6X3L/lYfRCeFggfjxhWv5zv8gF6etv3Of5qC4Tfx/b82FxircJMCpUYJ7+bKl+Ymm1QKqJwKRCqh8DFUTFLdxNTtUXVGl3tdLVWuK7F5IKNDU3XYEtmGAaZw4V44RmM5xFnJRBlHEdirbovNqfySi7M31Rnc7nKn2p+H6v6QgMxxeqkaKohzjq/VHz55Rd88YMfsN1uWfxMSJ7ebZjnkcPxDlA0bcfQNyij8css95cSz1/cCNRnLceHBVU0X/7wS5mBAj8v/43p4UhXIM2RmALLAsEnUj7iWoNpbFVXKDLCmO86SydrNjkWNkPHZtiQU+LDw5H/+utfiLtiUXT9Fus0qSy8eXPH/eHEV+/O2P6KmEGbhrbtMa3h9nzkxcsXpJI5jSfu7t9zXo48nN6RWGh7zfXtACqT8khMO5RK3D63vH4f+NUvA+Ppv/PZ8w3/+f/4N/DBMS2Ft+/f4cOGrn3J+/fvubu74/37O5xr6NqB8RQ5nwrBnwgRxlnmzDnD3QOcE9wXuN6KW+fDASGkmjNN16O0pulbnHPsdjuOxwOlJDaDZZkTy3jGE3FG4XJHtopgCiVOGA190wiy0284ckvRLa51NK3FNtAqg7IK0yAjLFWtkIsUbco0UAx4T4mhdu+CDpFBK0G8Wq3EBtpqirIU5ejaPSlnbq72nKaF8+R59+HIuCzcn0YIiZyKBFNpGT/YqppQxZKTIlAI2Qt7PYkZTwiLbCwl866cCCkRfcBgsdrhgpeMiAAmG6wyDE5yIfqmE1SkxlsrnSXnAg8kEp6YPDF6JO1RRgvKB3TyvNpv0NcDf/PF59wdRw6nmX/69WsO54UPxwPYiLI93b4D09Jvd5hiCEVJdHNCXEIrQS9DTSCspIOyYNWIWs1xLkXKquIRvcnqHyBk0oxfzuiS8aoIgmAULVW2mrUQJVFEIwVCYwyCQXr6BrpGVzdIha2EiCLLjTgy1sc11mFdQ86qqg8CFAmXWo2vVnKp0ZVnlAs5S77Mfr/nPE7klAmVf+B94HA8stlsefHiBc+eP+P29hal9QVlUDRYK08opIhahMSsKBwPD9XWuRFkTH/PNvkv5Fj3rZWXtu5h677xqcIBvn8x8Knjz5bF8LSy+ZQv9cdGQt/n/tbD6IQpMwKmrWn31fO93laobNjaWWulsUZDFC2uVbnKiTLKz5iwkMcD1i9YP19MkVJZqiwoX6r2WETaVP9ZWdk1pVBrMYIBkfsVSSIsgMoFU2TRU0qhijCdrYbsVymRWB9ra9jfvADbou7umZeF9+eJyYvUUdm2xjpLjO7abceUicTKOpZRg3QholqIaO6jQeke3feEVpFzZE4LySTQmmQf8PodY/xG8hucot/s6XZXDFcbFh/xIXI8n/He4l2Cq45mE7i9/VIIVVajf/NL4nTm3eE1275jv+l59dNnpHlgOT6gYoBkiPNCDoVlFoJSSoGLYaxGNioHIRlCKBynyC8PBw7GkFJhOc3Ed5F2aNHO8P7tHaYzbJ73tM8yNzcN6Xrm9rNC83xBb84UF5nuTyyHB+LDyDffHHhjLekhgYNsMotZwCpe30m0byHzatgRtafYwu5K0w2aF8+uaDvHr755IOuBqxc/pLu6Zs6Z//rf75lHQ1j2jLFBa4PViTl1mNaQyBRdMHZ12ZTkTWUVyWjeRiEGaifz/XNQNGMkZg95Io1vOb87sukaFJkPxweMzlgLz59d4bQhngPFFikQKmkv5MDCSLNE6N9hXAeuQ2VHSQbtHbZYnGlorEEbQ46FmDyLzzjr0EBQi5hHmYLqZdyWloUMLEqRK4LgY0TlCZsk8Q8UvVJsGoPXDfvSMy2GO5s4TwvjEjj5SKrRwKFeyxHIRpP6ltR2pAIhFUJMzD7ia/e58zNFJTJVe09Bh0KJHq+8yB61JhrHkiwkJ8ZkRtH3fYVclZiAYdBmJ6OIkvEXaFdSNkMUxzStM4qAbRVb3fCTH79iWSKnMXA8eaY58HD/a1IxZOWw7YBzLUMzEJVi0XBeAj4lziFU2a5BWbGtiuXqUbpYC4SsVs5IoehcRw4yekAhhVvJTAWWLMoGk2SkohOVpKhwyohddTb4cqJg2KmGjTbc2IYro+g1hBJwKdBEjysLmoQpCaUX9Dyh2gaUoWRFypqcLL4WibPtiG7ANFuwErym5w9M3hMfHsgKXNtw3TgKsg783c9+TNt2XO969n3DtjFM84xJgYYIPpOTZjMMtG1TEdhAjAFnLM462qYlpvA7Usd/jh/Ax8dTM6I/5fhjf2+14386WliRg6fyRrM6YFYS4ndxEL4vwvJnQxA+LhKe3vbx19/1+9/1b50zRglLVixlVaX2yL9LLRQyj2QajZKOJyXZqIWeh1IJE2dUWHDLCR0WjJ8wq1MZT+AZVfW5FTWgQvffehlKE5FOKxVEC15hfhGpPX09YjqiKdUwRsx/dIXy+s0OjGWKhSU/cL4/skQhZ/XGCZRXMtqIFniNwY0r9yBpUpLiSGthymc0Y5IUxabRJBNJKhKUQIoAUZ0J5ciS7jHGYU1D01uMadnplnGOTEvkuLyhWCityMIMBdvqCg1DHg/M94nz8R7XFrJp2L/YQGw4tBMmayyWNGXCkjh8qCTEIBvN2iOp2nrErFlK4RgLdp5ZTkdCLHCOmBFc5zDKcjqMqKhgHxluBpq2IfaW4RnQLyQz4nNgPN2xnI+k88zDm4mQAJ9ptx3NrmN2gWQLnDxRJbIubL44E1NA6cLQK8xGs7vaoFC8vTuz34rjonLXTOeRX3/zDbpotOowvprMqEzODmWtjCFURplEyYFCqmmbGpzhfBK+xr5TJGMIRTP7CEWsjf1x4gR8/uIWTeH912/oe8tm0+Jub2kwLMsskL3J8lgKQiksuWB8xKkHmrKgrNgOF2XRoQEcjQHtOpwxFKzEVSdNY5qLFE5rIcMpDeTMyEmQLETqW0pm8ok2RPq4YK2VfAPrKFaTjaKjZWkUbVk4qMRJRUzJzDFz9p5YhcVFWeHMaEvRjqwMqZjq75HwIVJCZJ8mlEqgEyku5BzIaaIQSSSMlSI+FYvKGpIE/Rgt83YxIlLkpACDcR26PLoMFUBrR1aerAOxjiR0iWin6Kyj7XpSLCxz4t3bOx4OifP9kRILKWkMO0zpcQ5SJRFmtaCILHmRhqesdENLKvuLLisrUV8kJYZgVBVKrSmQp786GpaaXSIupKWOJuTXBFG0rFkSmjlvyCQWehZt0cahtRQjtpxw1T2xLRFbIk2pzwFwplCspRQrROSSSUqTjCWYhmxatGkx7ZasA9oehHdUfRCMNfRNwzxPhOD54vPPcM6x7Vv6xtIYxZwCOkcshZIjCk1rDUPbsu17zlkk50ZJEqgzjpSD8Mie7CUfz+L/uUXCdx1/KJzpT3vcbxPW18dZ/3xsCPjx9z8uaL7vBOYvZMQgRYFs4est6sKofcqwXX+aXIjZ02iNs5pGGQgLaZmJk0Q4xygMO6PE46DKFoD1zZWvRZ3AhfW/QvuPbN5YrYSfzn14vLhrBbdWeyklGiUEqNPpIM9baQkdaRxogzWW8TziDw+X8UBZEYTKbyiZJw5a3367VB0AKioJrTLOy6pgYLWMLpwezhwfRpY50rUOjKZxVkxJjKPTBuMcz19cs73ecP38SjYHrdBW1409MbaJ+eE9b19/jdWijtB5AQqbzY7OGQZnaFbddhLzqLAE3r29Zxw97z/MPBwLx3NhXLxwLBRYbRm6Fut69AZsk2i3LVnD/S++YpwCvzme+Y//5ZYXVzuSs8Sk+Kd//BWtfgMR7r76wPlh4nQ+o0vBZHj79T2qVehOYa4stJrSaZKSNIP/9s6jMzTKYK3Fasvp7h6/JB7uJg7tPV1juNtdi+Pl6cTplPC+cHPT0TQNQ99L4ZgTvppfFQPoBl3AWktrNDtr2HbCv7i9ukKlTAmBOI6cxhNBKXTJ6JxZTh+wGkr0xKDxi+H6qqMfWozN2CKcAO/FZTJPCdeIPfbr35xwTcezZ7dcXV0xDANt02CsxllDP7Q0jWNTDZ+cbWm6Gr9LhZlVTfGs/gWXebOVk7/BYq1BBSNyTaNx1eSmoFCdpY0turP088Ju8eyXxGla+OrtB0xW+CzchFgSKoXKy5Wu2SGbU4eiGMt12da8kYD3iNrGhzo7F6PiCITqHliioIAxgZoWjHFo7VDasMayx5RqIRKr4jPQNEZihsep8o00TdPhbIOrkLtzBesanr18wZc//hux+X57x3EKzCHx/sMbMBblWjbbPftmx0vXMvvIuCwcjkfi4jmPh9oNGpQTjghGS0gTMp5CU90LBaVZlkm4Iavwo6xFwaOrnowdzWUNtdpCUTgjQXSqmjAVVpt4WV9irp9dWWWW4CvRMmstNuD9QNsNNE0nlt31j0I4Jl3XXSBxSbjV9H3PZ599xosXL34HHj+fzxeSd9d1ImtsGq6vry/d8sWZsXbU0l3/6+Ug/KEC4tO/s8rz5X1ZZYxt216yLZ6SEtf3Ab5diPyxj/1nKRD+xQkhSlFqqIzQU+ViePx+vbkUHssE2cmNUuIqR5Y41xglBCR4SiVc6Seb+bfpnb9b6ZXy5EeejE3ytyq134VzSq3q17nRWpTEJIQfrY1YwxrL0A9Mw8wwDJynUeSLQWD4nCtB6UmBkD7qvtVandQnavT65ePzlMhZgSrH88x4nvFLwFnhOqQYoS4l8poLzmnQVsYJVovJycUjP9LcPGNxEjCVoycnXx/H0PYDrTVyH2GpRicJV33fx3ERvobpaXroz4XDSUYb4zKTkmeaRpoMNlmMs0RVERsFMUPwhSUUQoSU5EKJOeE6WQS7rqd4SENGp0DwifOShGSXNa1uUNowx8gahTzNo5D7i0YlKCkTZ0/ywnwnSurBfD6LJj8lUkz4UGqMd0FbjeRwIFK/wsX/AaUICopWNNbKgm0MQ9dCna9nxOPeWlOlhBpnxd+iGwZi9ES/cD49kHPLZtNirUMpRfCemAIpR7TuccZidYNWjpwUfkkoPGGJNahHFtymlZGC3KZoGivF+GUYVK87LR4bUOV4Vop5bUT5Q9Hi+ys6yMo+11gjo6ReFZSVc991GeMsx3HExcKSAJ8IWbHkQlSSVqJLrLP0glEyzluL3aLERbJUxUYpYiSmtDy/okW2l6rNg1IFFRK2GJwtNaVRDH0Uq1xPSHIlZ5ELZlVVFHXeGyNJabROrM2MayzGKhmDNY4A6OOEmzxzPhFyJoSZMhtMCthSMCh6Z9DbgdAImiIExTryFPMTWVOE/QeIlLhUnlRIQBaUQBV16XnWMew6ol3dMhXVCFErnC4YLWZNq6dmruqotK47RQotU5uzmGsGR6Ox1tG0HdY1WOsuULe411Y31Cdw+MpdapqGpvoYaK2JMTLP86Wpevrzfd/Tti3DMFy66adQ+6Pk73f3pD+mc/9DP/PHb/CfjoH+4+7jkYC5rvPGCAz8lG/wuN+kb/kdfIwsfJ/jLwJBkBN7farSbZcihi1PX6ec8BVKqfa8VoPTGlOE/ez9wrJMpGWSC7M6l0H51qYqJD+pAbTW1bilXG6rT4ynrOqLJ/j6M3VBLXkNIAmXateaglaWJXhZMK1jQNE4h2taUkqczifOk3QqyzzLK9RGujcqKTpXbXCpJUK1IVQSSQAonEaKgfKotBDWudzP3Ycju92B02HC2Y6mKczziDEB4/xlfGNtwTrDYFqMk800IZ1WDIHusx8Qpx2H05nz4YHxwWOKbM673Q2NoLkcziNhmUjLws3VNTf7KzZTpN/Cl8MVSygsPvPm3ZH7hzO//PU3LMuRaTnTNht616PaG+aU8UlGAVmDL3CeIw/nhWmuwVdK8+J6x67bcNNdMz2ceHD3HJsD4zQT35+xztB1LVfbG3CGN+eDFJMUlvsHdClsNkNNHPT4c6DkwsbWxTUX5sPpcg6uHkNai0y0aZ1s9DkxRiHOZXTtBkX+qZUVox0l8P2mceTKHUhGOofd0DO0jk3nMBRaZ3j57JrX37zm9TcPfHjzNcOmw5nnNM0Gg2Y+n1n8QsxBUIFhy+31C9ANVlv8LAmmOSeUBuc0m7mn61pKlKLENQatDW0r+nJdkQKlZYTiWnHbVHXUJMqAOgfVMlJQNels9btwaGyx2N7SxUyMmRBhM06EGJiWyBIS7bjgY2YK4HMi5oKvTqABSKUGkuWK1BXxJbBaoZytiYVGCgQl50mhkDKEIIPKkD1tKwutNQalJRFQKyteA40jpQzTjKq26iWKoVTJiD/hJWnPUNBo0+EaR9MPtNuebr9lc3/meJ5YVOZ4Hjk9HAnjkaI0w3ZPP2zZ7ve8fPaCnBW/iXeEmAgpkpIU9xRQyggCoUV2ffmZXMnRgodiaviWRl1cOdc1q1ABUwq9FrO0VkOjC1ZVpUrOxCKcDvFREKpmURIPjjJMIZGVQjeGxrX0my1d19dwseqmqIVUR4oXeFxrTdM0dF1H3/eXAKemaQgh8PDwILkzNcl2dQbcbreXGHTvPcfj8VsFwmrTXa0lf6co+K6/nx7f97Z/zvHHdvIXc7sno4L1PXlKTlx/di2s1vf1Tz3+rAXCUyLip/7+0w8l7m2VY5DrCS/VNVDWxIX1p2tnA9K5xYQPE2GeSH4mB09Jse7iQgLSyMWXyuNrWccJj66DEl381CGx5CJytvToqLiiCKVe0OsYIMZQ/fc9RmWSsheTD+uMeDMsC8qKjfGz22eM44Qxhtdv3wm8p+UCBVFS5nLhNl86UuoinLV0SBqZg6NULWQKYNFaKu3D3cjd9sTdhyNt2+NcAxwwzohJj7WgdR25CBGpqIxShpgFBQk+EqMnx8zu5jnDZkt+/pwwHslhIc0nHsYTy/nA8f07Sors+54PD0ceDic+vHvAGMerVy2lSHWz3W0xtqEUzXkOLCGKLXHTYLYd98cDx+mM6aHrRNP9zdsHXt8dOY+J1sF+UNx0twx2y2fPX7J0G3rt6KzheDhz927EoWm15dnupppBWWLJxFwYtSeFhXCYRb8eC62FpnVc77aIjWxmHCdyKeItUBJLB9e7nrbv6LqGqArJKmwcqqUx4AxKa5y2BB843N2hixQIvaJmBUTCFIk+cEwn1MbRKIexin674z/+h7/lb3/2OafTCe9HlmXm7fu3YnyTBz5/+ZJcCtMio5WvDl9x/fkrlIUlLMTo6/kZxZmuc6gCKaRqbSyKF7/MNK3FWGgaS9c2tL3DGEfXO9YCW3wTanoplqy1OD5qiKa6HKr1IkMIxaZg65x8O1i+eHnDtAQWH9keZ7yPjHNgDhmfCrMX/fySY90YIbUbctHEDCkpIQZmW90TZQyScyIkT64Sw3VQSTbC74hA9kKNLNA2Ha1ram5GZloWYlrI2Qt0jkC6OXl8EhMmpQ3GNnXhCIzRUzAUbRm2DtdbdGc5nSduH468vzswzR7vR3yJjGmBMGFsy7Nne3xM+OA5TQshRpYYSCHKGqZlk1bGoo199Gmhjh3WdZl6exGlU52fsKogtl1isJnWJBolQVNizVxdC9csFBRmNSLDkLNhjOLA2GuDdi2uG9DOia9JXR9VThJJntO3cgLWdXGFwkspdF138U4AWXufbnBPSexPTe5KKReYfd1u/lgU4Lt+/vv83Meywk+RGD/+mX/O8Sm5/tMCYi1A1jHOxxzA/78hCB8/0O8rDv7UQqGoVZ0gHVeNAKkb1sfBlaV2jkgXUTu3tCzEsJBigBxRJVW0QU5+BXWBe3yuazGwRiKvZh8fFwiP/gff1uDK2OPxPp56LvgCqEzTNGIooo3MisMa2qLYDAPb7bbyDx4LjwudslxeAStBSWkxHCrr3EQ9WZArmlEKKNaUr8w0es7HmeNx4vraMwyRQsQmAzphlUMjvgyFaiGd1wQ2Q46ZHNf3RsiWehhQJOaHBj+fOUWPT3CePKfZo0tmv7UsXljrx/OEs4nZh/q5CKrSdS03N1eY08Q4LwSfME6je4c/Jabk0a3kWrjGcXeYOU+R8wRDC2kH4+iJ+8wwbHAoVAiUIMY7Vok/kC7QmRZnOzrdEXMmqkIoBpIiLIEUIUVwO01vDLuuq4mbkuORc0EZRWkyLhcaK3p70QECWgtDXWkp0qwVt8emocREmCZUgWIsyXusFQWARIErUgiUVFnoxjC0ms8+uyWnPd4vPDzccX9/x9ff/Aa/iM/Bs2fPLovq3d0D9/cPbJ4FdDaEuBCCr11dxlaHS794oFzmzFpDygHnDF3viKkR1KuRTckYUeKgSvUlSGidK8JXi3kl2nx0AZW5nJJIGJTS4qnQWM31fqCbpUAwBRYfaTXMPuFD5lwynoyLEU8QK/BGVQdATdSlRgHrWiAYySVJurL8K2SuBOUoSEhRSoUlCNeBDFYZlHFYLc+TGIl+JsaFtutktl43upQjRVUCsdFyfZQsJmDaYpoe2zRYbTCNJFc2jaWUxOmkeTicUNkT54RXCdv0tLtrlAVlLD5H0AWfQ7XClvVJKSFPKiWzfrm21WOAU21SuFgy5bom5csfrTKNLjgtIVIS8JQuabIrQVur2qjVkW8uGp9kbNMp4SsZ16CMrShvJUKsG1fdxNcNa93YV5MfWca+nbj7sRLuKXz+yDd4nMt/n+7/j/EE+BSp8Q8d30XM/+eOGD71OE85G2uBsL4f+aP96E957D8bgvD0ify5OQmlspm5ZM9RUQMQdIELGlB7XJzSdNbizyNhmZkPHyjRo+KC1QVtFSqJKxh1LEARuHd9DTmvOfbpgiCsBYJU1vK4uVbIPIGBVvKkQM75sYio71MMAVUSDOUC9S3zQsoZbQVZaNuOq90eVeDNu3csPhBihdKeogcX3kHdgLRcxFkJgmB1qkhINSIqCnDVBrVwPEce7gLf/OY9235LYxvaodD2lnYoOKewjSz0qchcf53xGW2xWmENMtNQEVO7FUrE2IZ2HgVOHDYM2y39ZoMpmVfPbonLgp8nin5DionTNPFwf+J8mhiGPW3bs9nesCmgjebt+R04g903NGGgM5neGtAO2274cPya2Z8IBU4zBA9v3hxpteOzqyt6a3h+e8VV73jY9/zyn37BvHgO7yPvvnqDa1pOD1PV8BviKRKXyDKDs9BauGp6Wm0o44QqBUtm5+zFMMknyEvhzdd3ZA3JKaIxRK04FwgFFhTGbDBW03cDxhd6O2JUpm0cL5/fcnu148XNjveffc08nljOH7jeDTy/2XFzteF6v6MxkSmMBH8mxZFSPG2jxTTHe958/Q0pFw7nkfv7I+Po+eUv/xHjWqw1NG2Da8TR01qDtRCCdMrzfK62xXD3IAXHZitpldtt5MpD17fsdpJjYaym0IAq2AYSgUSUYCalyBX1K5SL0VIuopkvKVFCwmjL1WbDptHE4Ng5RQiReW7wi2RunI5Tzf+IzJUod68TIcESIksJxCzhZRqBuDEOXSzFGmzMpCiW1cL/kbUlhsxyOlNSwmZoi8KYhq4xhJIxwcM8k/woiJ0V+2vqJlx0JexhJPNEaUmq1AmtFLFEyAbnGq5cw9X+GZ+/uML7yPv3dxweDtx9uOPuw9cssRCHA67taNuO7WaH0huuyo5piYxL4jQFYkIsorWMb5qmQ62JsjU5tZRYV0ZBSzGKQoJqHtXpzKADLQmL5GOQElmJ06cWBgRFWYxClCoASTGpgtYOmi2q2aBdD0oKlRAjxXisFi5KYxy3r15dfGemacJ7iWzvuu7ij/BUDfe0QAghcDqdCCGwLAvLsgjfqXbJazgRQFapPuvH46lh0J97ZPCp408hI/6ee7sQEJ82m8uyXP5ej9+HcPyxz+dfjKT450AOLocSGeNFYSA3spIBVYGixGp0ZSyIcUgiRU/0M2GZUDlic5L5XD1ZFMIMrwKhb1WpT8cJK4qwbvQ5i159HUVcZnvlyW3I5v/0w1mrY60LKouBERIGWc2O5Gez0mSbJL2ucWyGAaVmUp7QuS6yFVFY3yNV532qEphKfXOUyitKeHnvlEwo5YZsCEvm4e7E6Xhmvx8kd8VYUlSUqoeU+bLGYOR+USjlsEXY79loMonoZ3KoMcVJFpZ+d4V1jr7vxKo6LCQMScmMeA2EKkWsopUxKC0oRYxBSJLWsN30BK14e/eGrBT9biBqRy6Golu6bqDvEiwBlTOm5EqCaln8gkqAzuiSsLZwddNjTh7GyHg6ULTjeA442+PcIHVOUZUboOmcEAV1gbxIl2+0wllDypkpeForXveHkPBFsiRyC1QzoaxEXiZBTA7TtJgmopuWkgNaKZKXGbfRmv12YNNq0kZzezXw/GbP1b6nax2H4x2lJFQN1mpmK51VzJQlyGZVxOQmxkIIhXA+oK2laRyFDlRL11k5X1WFo1MhpUczraJXf/dAKZpSDEo5vC9AKymSzl5IiMYYsi4knUTtUrvP31mfKtJ1KRwqhc4I/Z7WKqzSGMSEKTqDy4nFQasiky0sMROyZo5J5ubBk3IUf5L6uElVIfN6zcJlI9Va3ATJ6zhO0TvLtm3ZDz3brieGBpaZoyuM03p9FYklZ0X2CkRBnjCWosX/QDCkUDt2DSWjtShiTKNpjKXsexqVcSXRkDkvga+XiRQSUSdMMGjboHQr5NTWkrMWN8pY01nLRdtFTaR6ctHX0YOu3ze2ui9mnMlY4qU4UFlDTcC8QKqomgchUdlCXMxgO3TTYNoB7VqKsVw8ai7Ia0YrMV5q2+ZCOHy6oa+W98uyXDYxa+23NPyllG+NI1Y0dl1bv5V2yEoY5fL9391W/vkjhk916J8aK3xK5v/HcRC+zZt4Wuz8vtH+/3AE4Q890J8DTXhaHFxO2PXNkhtrF84jV7dkckykZSJMZ8J0xpCxGqzRtapVqEp4Verbb2p+wjdYUxhTTBcEYT355bp7cmI+gXgeUQ45ngZo2JIxGZZlIgSD0ZLYp1T1PVeRsHiMUrRNw831NVofmb0XsDAXkor1jtcuqXq0V726dFC1QGBNvjPSOVQeOEWhiiMshTfffODlyxt221buUzm6OdEOEviiyRhlQDXCldQKa1qUcijlCLYn5sC9D0w+MZ4m8pJwWnP97CWWjCkiPTsfHjgfHshBCrHzEgiLx5mCspZ+6+iaHlC1k3W0zvDi+TPeno78L7/4e374459y8+wF3cbgA4xz5np/hcZyfDhQkofsub7ac3V1xTyf8dlzzgub1oFO/ODLG+7uTuh3R+7uPzD7wjHAfvOM/WagZGG1O5voq/TPKiAngp+wXYPrHF1rpdONiX3vwFniYUbFgo/C+tZG0/WdzHFR6K5HNy3tsEFFoBtZlhGVM+fDmU3rCGHDfr+lsVt695xn1xtePNuzGSzRz/zi5//Adrtlv9vjtpuLL/s4R5ZQeK4atHVQHDFq5qXgywe0VTSNJpcduQxsNpKfIAVCLYTTeoVVdEprtAp4X5jnwrJA23q8F7lV29bUUGPo+57sMkkvAkkrLXN7vS5y8h+VExIXKEW+kHpjLRIyrS0Uo+itJTeGnAtbB8Fbpk4xz5bFJ+JkOPuMSpG5zBA9cYkkFEkbsnYySkBJwnUuaG3QqkLeRRoKpxVOO26HDS+v9ry6veFqGCBnXvQN7+47Hk4H7k9HluDxy1yLEEXSYuzkZyjOoqyl7beIM2MhJ9nEkzJY5TCmpbWNnBfXG657x4ttx3S74/488va//4qcPGFZKCVgbIvrrrCmxdoOZy0hKcY5s/iMjwVdx65CSC7VX2S1lhNXQ611dVQFowttzjRlwWFFEpnF0bRSrOV/WqOVAyMJozElfA40XY/re5rNHt0O4qtRVSDrGqlywliDM5JHY23C1hwarfW3kmrP5/NljWyaBmvtt+br8zzjvWeapstafVFLPBkx5By/d9f8pxAVv4tbsP77+2z+f8zeKHenL/vU+lqfFgp/6HGeFin/Q0YM/3KHcA/Utx5jbdvFj1yVR49FUxIlBMZlJswTJfpL0UDKl5mo1VV2peV7CZmzZXj0+76gVOsH8bSQAEqpi96jhPDRwUtVayQukp71RDYloWJimiZBMYyh7TqsddgqYi41tcxoTd91zIuncY5CRKlMWl0kawqiqvO9yxpRxB4WJd1LzuXCPdDZUsX4NFaIcx/eHXi4O3C47tFNTXrrFpRdCKHFdT1aN2g9oGjROLGorXPK+9OBOXm5z25D03bMpwdKkoLBkDGlkHRDsR3ZLQybLa21HM8L03kk+SCdlTLkmJjGhdff3MuYw2qcafgwBu7u4eZ2pO/uKWVDDIXpGCg+ojOEecEZxbbbYICcPFM4EpYjy/iBbd/QGMtw1ZL0QNKKw3SgxIiu8k6lVTX+MVUiJyFbJou8zliLayyNszitUVYzdAbTWpQ1DBV9XhKElEg+47NiQTNnRZwSGMt49uyK5lm7obENOUemaeTt23cs05GbfcN2cPzg1RUhNWQkOjnFQL/ZkHLm7vCAtS0+Za6fv8QcJ9R54bevj3gP8wIhCSQ9zqBMoW0zmTMpL/S9JoaWFAeRruUihaS2WNsIzwBFipqclViKLwvWFXIccS5iXcSYBWMsfZ9Qw4jenHGuwRpD3zYUa2mMqXPz1V9EutNc9fri91+vJSSVTyH8DqtBdeKpYE1H1xpCKujSMy2Rw7llPxjO88LDGPClsGSYE/hUiFMghYQPiaHfSCRxTqiUUDnRtw0b5/ji+S0vb/Y83/Xsu1ag9cHx7HrgOE+8fvuW0zjy5v4DYwgsKRFzFGfJnIQkGTWxyIgloS5+CZtui62+JCl4WUcSNCi63nDb73l+uyVdbThPM+fzwvu7E4tfOJxPKNOjTI/trjGmZT8M5N6Qi8FHuc5jSmQKuYghF2S0Shglyi7hx8g11SwJGz0qp8ro0pcVViygxXrbGIcyluI6soqkoun2z9hst2xuntMOG7DtKnGRdUbAFtpGtPpPofCmaVjZ+Gtw3jzPl3Vy5SusKMGKKKxIwseowTpqMMag8ndv8N9nU/3XdpSyTo4fi6A1d8FaeyEkPiUlyu/98/blP+uI4fc9mX8Og/NCUqxMaUAqfp7c55NCQZdMTBE/j+TgJeK2IgvkJASiCsVLkIjIGFWt/NZnp9T6R33r749fplKPz+TpiEEhKN/T0cLlwzUyh43VOEcniS4Vxu46PnhM5LLGSvKaNhhd3dHy5Qlexgui2VTSjZXVHeExEEkrUJcKQrwlrG7IxTOez0zTzDIvBG8IXuOXxDJnlAoUlTE2ieGNiaBF/iTMdc28LEzJ07ed6NqNIkVP8oqYlwtDRNkG3XRot+D6jr5r6LdXFAxzkQ7CKoPPS2XgL4SEaOdL4LQ8hiBN55PkQ8wFP3pIGYMUk85YdsOAVgIFoyOpeHyeWFJEaTExcsniFot2CmUEcgYh3MUiYKXVEswbS8bWDctV1rRSglwZLRkSymrxNdAQqg1ArDr1mAMxK0LWeFXI2rAsCWtbshuwtqEUw3k+cTpNzNOZ5FuWbcv1vmFZOnwIhOIpOaKNkZmu97RKYO3Nbk8qllgsr98/MI6R4ynLOVfloMqAMYU1eIciTpzeT/ggJDiFwZimjlhsLTqVjF1yIcckQWM2YKzcn6pudn4p2DRhladtwVmL0xajCllLFLBCow1garFtajTQSmpUEu4jCKEEMKEUYiRa/QAt2FxQqpXxj85QAl1rsC6wZFhy4eQLc81JWTlEVosxkM5SHKicxMyrdVwPHbvWMlhFr8UfwbmGprNs04aSIq2zzH6mTCPZF0yJaFXQSjxXStb4OAthMitU9RcouUEcWwXVK1nIlUZbGuPonKPXmh9tWx6OIw8PJ/wsI9JpmqVpSQVtOiwKZ3uUEZ6WVvIaNaLCSSpLkUVCFRmvaoVYzxuNNQqjEpoo619eC4RVGln/rTRFixqjGCcx0Blcv6HZ7Gn7LaZpUdpdOFCPHS5CgDXqkhmwrpuXRMh6+1PJ4tP18mkx8HQjfHp8y1JY8S36+qe4B38uFcPvUyw83ag//v4fuw9+jBgopS5F1kra/Hgk8/Hz/B/CQfj4+BcjKypV2c9PCgPWsQIVuM2Ykgh+Zjrc0VAwZJyt6W05UaKkkpmuE3tOpYmFGmGqUJe5jdTQWusLYCHn5JMAlfzoqIh6JNbkertW5vKh2uqxbq0lhkgsElKyfqjW+XoxOTEucQ5VZUYlC17QWE3Kgm6sm1ZWTxi8Rl3qi5W1vMq26trLxSKlCN+5bQZ8KBzOE+M4MZ8nyL2YAi2BZQyiVigB1wRUZ3HWo7In55mUDNEvFMBYRzcMNI2lbSwxeYI1lGBpnaFzQnDy08h52KCLdFz7F69ohg0feEuJiZgz26tr+s2OdtgQvWeZPf/z/+stqov8u7+F+7sH/undAZVfS9JmtAz9DX3bonZX3Fxv+fGPPgNOnMd7fvY3N1jbY8w1SokcbxoFJj7nE3qTabVGty3TfOb9uwcWIkoVOgdzhi4pUmforKZ1liV6QpwYqpfCqxcveDgeOU8zlkKjJWj4/8fef/5Ism1ZntjvSBMuQmXmlU9WV800MY1pDEmABL+R/Iv5XwxA1AzAJqu61FNXpQrhwtRR/LDNPDzjRt53n6hX1UCfhGdEuDQ3cc7ea6+9VhAgR0R1sgg7TWmUYEFBj+K+KH7+2Res6hqtnZBH90e+/rajqRTd8T0Pu1cMU49BzhXnhL1ujKXZXFJjSHrF5YvMMCTqzS33uwNff/eW46FnGEa8KzQtvHwJn332kqvLS1brNdMYuX/YcX93y/HYU7BUvmG9vuDyytI0HoOw1wuQYqbkyNhP5BLIGcIUKUBd1TRXkWZItG0jtedkoTHorDCVmx3+rFijlwDWyPlpNUVP5BAIUZHTbC9c5hBTVIAkvs0aXQr12GNdoVrBql4TiyLqiqwtyXiOE/Qh8eZ+T9eNHLqBh7sHwjARwySa3yHS1Jq1SWxswk4HwkPHIRe80WxWNTcvPsNffMK2qbnb76gqx7d377k77DCjOCdGZ+hSZkyJh+6IM5b1qhUyczhyf3tEF43F0FiP05a1q1HaQnbE2IE1XF2u2FYNn101fP7ykq4PvH534H4/8bAL7I4PjN2enj3KiqTx1YuXKGUYp8SoM1NITHmQsk2ZMCnLXGk1NmtcsZg8oHNAq1lHoZhHj5tZ6hplSMahrCfZGtEZdVSba1YXlzTbK+FyKE0xQpQ+oaXGUHmH0pYuplM54XA4nEoJzjlRFJ2tihcSIjyir1VVnV67BAhPg4a/NDLwr4ucPx2PiaYVxyqMMSK8NycKy/75GP/gDw0S/uQA4Wnv5cfIiX8Ii/L7EZosdlq8WB8X8AJ2RgCsgpISpMTUd8Sxly6BpY1xQRyUmssRzF7yYoSSUxKHZqNPcecjavD8TZ40v8/CSTj7Dqc+CyWlDLmA5D5TS/Rv9kcxxYlRerVLObVPMefcRmvWqxW5FNGeVx3DNEGMzKVc2U8wf49yukERbYeyPG8pzfD4onnf1q7muDvw+vVrbj79DGMVugukorDjrEqXNc5GwtiTg0YVj1IVWjU0vsJZdXKMLEXgL7InzQzqkApFG5T1uKZl6R20VY1NGV+3xGkihSDZeyliQSwsCto1+JXj0xc1hAFiYH8vpNOmMhAnUkiYHDEktEpUtaNZaa5fXGDMRNEWa5EJ+3YHu44hB6Ip4LXA/DaRjAElGvNTmHBWoypDNpA0RDXrHiiD8Y6iYLfrmKYwnw+gssRsTnh/1DPPpCiFVQLd1psNJSRiN6GVWIIPYyCmKHViI8fs/W1guw287EeMltbE0iWsc1jrQO8oxfBwGIlJE6NiTIVUDNY1VK2021XNRF3DZq1p6zWVb1HFkmKgOwxMQyCGhHWekkUOexwGKIowJZyrqeuWWMQoaRyEoyAaGdIxM+RJ5Ks7RZoyo5vQ2VIC0AoJ0xhD4y1Ke4x35NSRSyYWTtwBXdXCqA8BpaV9L8RpDsghAeRCY5W0rErqSMgwqUxSCUWksgatNDfblk1Tc7ld83K7IU6Bfn8gDyN5mrisKlrncCWgQpC2YyP6/o1tyGFkOB5oKo9SW7Iq4BTGafp3b0TqeZhmPxZRJaQkYhjm5kOBIEsSKYIpRjCWWJCWV52IAFmTJzGJyxksisYrXl2taavMpk28vx/px8y+S8Q8kOPEeBBr9lVV0biKnDUPD0fCFBn7A/NliMoGoqhKliS8oBDyjESCngPPhBaDrBAhJoopeONo6pa189TtGu0qMlrQIytdGs466qrBV6KUauZ+WWvtyYHw1NE1owdP9Q/cbG++KAI+N/8+JYCfsusfQA/+kAXyx/AXfizy8HT8vuDi+8jF4+s+IM/PaMuCxjzlGizlmKclmR8z/iwBwrmC09PxHHPzDyGAAKe+X2WfHPwiimlWK7zWhGEi5EC3vyeFEVsEVhNMTmJioxUqS89CCOGkuDh/MMpa4SFkMblZotTFv2AJGkQgReDPEGRBWLoa1DNsba3VBxwEbSzZe+53D8Q+MQ3xVDe03s71JYF/rTHcXF3jnQfU7CEPh74DJYz4pcwRoyiq5ZxF3IgskHIBY5BV6mQPKy5vBTDKsG023N/e03Xv+PlfbVBKM4Ue3WWsm9XisqbyW/J0ABIUReU3rFaNZEl+FkgpIoBirUMrTdRSb52mkVQ0xTp8uyGHiRwnbN3iiqJaj9B15NIzjBM5CJogBi+B65eazUXFzz5/hQpvsDmwew3Gay7biof7gaGPgjRFT4k9282ay5uWz754QVEDUzLUK0cuiZGAut3R5UDQULxmXdfYCdxYGFRkDIG7dxNt5bArT44TURXpxXcG4wxVUxHGwJvXt1SVwThFCVCS6Cx4OXEx1hKKpiqGqCzGeb782S84HkfefnePczWlFA7HQaByB3UloO93rwvbbeCzfsQayd4P+x3Oe3xVc7ebyEVz7DPK1KA8D0dxY9SuZVWJJ8LN5R5vRWWtrS/xtiXGxNAn7u8ODH0gxUJTOzSaaRjpzYEwjIRUuLi4ZL2qCeMobqKxF+6MdTMtKDNOEd05tPciDGYMJSjSJpGnhNYK7x326lJsrL1nmjI5BWIKlGIoSlGvGnKO5L7HOAk8j7u5LKchSJsJ106BgWAUTBmTpIsmFUXBYE0tok6XK5R2KONovKBkd2/fEbqO0PW4GDEpYUbpkU0x4DZraq3Z1obb/sD+0PPJF5+zWbfcfHKNrx1V7Xlz945jP3E87ElakbXGOUvMgf7YU1cNVs+S1UWsqVUxZGXwAr/NLZdQAkTXE9Ls+mpaalNx+eIFIVtCtnzz+sBu3/PVt3fsjwPdGNjf9mKXfPGlWJzbFh3ec8iBYXqQoNUqdJR21DgFUhbPk2EUSWrjM3VVYawV/Y2Y6adAcp7KODbOs7265vrFK4yzGCO+J8YazGxv7r1jtVrhvRNfl1lVs3IVwzCcFq1SRAfBe3/KjJdgYbPZ4L3neDye2vrOF7plgVwWvcWTYJmotfq+zPAPrTd/LDfhD110fygw+DFBxSNxPn8vQFj26XKbJhFCW/gcxpgT+vBjxn8TUstaG8yC+Bepm+qyiCGJuKnKiRwG8thT4oiKsvibGTkwczYuGbc6Zc4CSSx/84GnwvmBWEwynoNuxI1Rs7zJyTypIAjFSbDi8eSurcW3DV/+7KcMw8But6c7dOznPt+madluL7BWakxddyDEgHeOyllidFTOS51WSc07IxnUoqROKWhVqD0s3QslGkqaL6JS5lpoopQITJSciCpz+/aWFD2XL91choHu0JGCJgfPqlU4p/B+hSoTOXQMx0Aa9Yz0PDrIKUQNTeHQWgRzSk7kGMjWkYMDP5CnxFgUx5Do+pH97S1hGBm6DjPvt83lNVfXDa+ur9DZcrU+Mj18y9AF9u931MbRtpYQE63LWAI31yuuX24Yxj22zlRrDx60tnz+H77EbbZsX9zwD3//Lbv7kdANIv2rMu+PIyFn7EYTTGQfEj/79BW6JHZv3lJUJqtE924UTYRKU7UN3jp2hwfxux9E9VIDrbNkY6hxJCXqc1euIqskcr4FjDVcXlxSyoQqE5pxRoYyx37k3bsHrAVKZhqDtNDR4X2LNh7jVuSYSSXw9nbHsRs4HEcx07EWkw2bVc3qxQviaNlPhW++fc1ut+fNm154CaoQp/1p0swpYq3lYX/keLgnTA9U3gvapQp9F4khsF6vqeqKT15diVz1MQr3ALGhHhhRUbM/7rHW0B8n2lVL3TTSGaPE+REt549pPLokkpEun1wKcRiEwFsyYTYCkmwdnFKstMFnjXFaNCcyjCWTCMSYRTq8aN6/f41B8eryGnfRYkvh3Vdf0T8cuX/7DZWCWmt069BJEY4PGLOhso67t2/QzuJXDS8vL7i+vuT65TWv7275+1/9C1+9ecPdfsd+35HK3DKtFFiP0eLqGcPINARpdz4escbitZXr1moaLUTfVd2gnXRhjNOOFA0pGS5aS+sb2sZx7CNdH3h/+0AuR+7e/DOCniaGYQdxZOMD1hSMKVQErFZi0DUVSFA1ojVinKBhQwwchyAoAoabzQUX1zf84j/8De1qzWq9keNvDM66WUfDzgJaeuZXJULQaC1OlV06Mo7jSRxpUVJcFq5lbg0hcDwemabpB1HqZfy5SHn/LYyPfcflWj1HEZ4LOP6QffQnBwjPRWLPERL/lAN3UvCas4Vl4TOomXSXKSlSYiDHILD13JY3V9JOPxcFN6WQBfwESTG3DZeP3Dj9fPw+C6qgF9zug4ME8vzH2ljiRMTRGm0Uq80aV1Voa+c2yjQblUhL0NJXnpIoPzpr5gtRpIXTvEHpLIChLCUE0Z/XS2SURaxGbHoLZZZfLjN3Q9ILefl+d8S6xPrS4Lz4BkzDBHnAqANWb1B4nI3kFEhxIE2JmEUVUmmFNo/ETG2MsNP1zIzOiaS16D0ojXEV2gchOlnJ8GKGMSW6caRyHq8Nvmmo6nouKXhSm7m68ByIPIxFLGKdJaTEuvG0tWXVetrGkUovgYY3ZBNBK+q24SKKNO/rt3syikMuGGvxjeZoLVPKVFbUOKcQwBnIECmEkhkTxDFggNYZlDZo66TkkyFHOd+0UnhtKMZiMaSZ0Ncaw0F/eB3VVU0pWoyBZrKkUpkQIodjLx04FHH6jJkQC75SOJ9ZbVpSSYSUOXY9++PA7jBgbcRZx7FusEpaBcMopLDbtweO3cDYF4wR8mCcZmlkIyqOlEQYO0ab6Y+gVYstFkiM08TQDzRNQqsVbbOh6wtDn7DeobJi6iaMsqhi2D8c0EbKOSFkxjFStZXIjls9CzQpinEUjFzjCiH2GUtezuc5QCCG01xhjQKtyEqjBTwUSfRFxCzPhk3DEbSmttfUxuBQ3JMgjUzDcc5ojWh2GMXUG1LlKTjGIcyiZIV1fYlfr9C1o1k19OPAGAIpJ/ppkrJLjKTRit6CTuIQGSZSmCAV+piw2pBmBMFYjR0EHVXez3b1ihITZIPKhtrNHTTe0zaJfozE0DGOI8OwF+XYFCh5BBLeRIzOaFWwJKzSVMZiRNYEbSVA0NYSkTbJVBDvDOdpV2s2mwsuLq+o6gbvK5Q1835yGDN3HiwaJmW2tS8FlcSfpB8nMZc7W7yelqKXAAEEEV30En7sGvLfQpDwsZL7c/vl8e8PywzPjadBwnOfcXqzHzH+VRCE8xrIn2PoueMghlkXfC4VeI1cOCkwdQem7sjUd5RpRJeMVcxBQj7XYFzelaUxAiQ4yEBKj/2zT9UPHxf9JZqV1xojE0VJ6uwAPZqHPL42nj69748Yrfn0009YXWx49eknXF1fcdgf+Po3Xwmq8LvfsV6vqeuay8trPHKRdcNIKYWd2ZNmVbIw1+unPE8kMOsjQFBIcEVGZYcqCq1FvASz1G21KKIpyR6/+t07jscK5wJXNyvq1pNKYtIwHiEHT9NEuPBEN5LCSCwNxTmUcxhrxd3NLpav7rQf0uwFn2MkhSB8g1yo2xV13TC+7Bi7nvVmy3634+2336AR5nuz2RBL4Fe/+i1hSJSk+Ou/+ilhyBzuR5ypMVpss9cXK24+v2Z9U+FqTakd2othTx+DBFVjIGdNvWn45IsXrDdbwieOzz/5ks8//SkPxXDoB37361/zj3//D/zqn/6FX33zFbUxXG0bYgzsg3BBSoD9IYEtbKxijErc9RDra+sMq6ahKE3IIv5lrOZFZZkqS1vp2X9B0dReum2S7C+DpqkiaZq4e7PIUUNRhf0RDkfwzUjTVnzxEyGdDlPi9nbHvp94GMCZiNcK2yfuq8jdO5jGgRAnhuFI5S0vLl5hnfgj5CL+C+tNRYoDuQReXjvqWrFuI1rdk2OmHw5MYxG1yVeF2o1oVeh3hjffKEEHrAGtuLi4YLPZstvvZ7MnS353DxSqVUPd1ty8uMJVTki6FSgtCo2FWRHUekqesTLrMCnCw+2M8omJm0JhtLCKVVGYIvoiIS0eJtDqBgrE7o6HcSINI/vbbxkOB1QW741hgvcqcXCOY10x+SPRbWhWLcY5Ri3kZtsfufrkFZc/+Qm//MXP+Zvf/JavX7/mf/3f/pbv3rzlt7/7iofdgZTL3E2kMcbhlHAjQgqCipiM9zVFKx7ubjns91h3R7O6wPqaqr6kMjW1dyQyRWVa7bja1hRteHklkPx3333H3V3HYX8g5R5IaBUwpUibbtHYYvB4tC0i7IQmzYRtZQQRuFnXVO2a1faKz774CduLKzabDbnANAmvRPQtxL5+KZ+qOcB7ZGIVColxGvHeU1WiuXHuo7C07YUQ2O/389yvefHixSmxOkcTlvGXJib+243yg+v6c6jBUop52kHxY9fnPwuC8GPqJn/SQSwF5po5CDHRaoXRQBTjkmnoxSFwGiQgUAI56jnqEuRg+UUvuf+cQXMqB3wMQfgwuFi+u2zaYw3qcV9oPQt9pnz2Pul0gNOsfvfu/o6mEsnRUgpVXXFxdUl3PLJ/2BNjoO8L1h5Qc0dECoGcTg1Ic9e+fB1rzBwKKYpGSFIsvA3NYvYqwYqwlnOZhaUIgGjKx7Ew9JHjvqduvIjKWE0uEEn0XU9OGqMbfDUb/qgE0Urt3zlU8aRSUYyhWCsZdXm0vU5JSjFZKZT1mArqAr5qaFdiqlOv1iLK0g+kEOiDdH5UOtMdJ1IorGtFXVe4K08KkBPkHAih43jQlKrCRAMxoCeFTop6XWGsJiZBgLQytE1DHDK3r99z7zy1sbyLMMaM94aXL69Q5acwBZxSXDQ1t2/es+8eaKzFGo3xhlAKu65nCJmYJTPzlROugLOyQGVZqXSO2JLwWtwZVQ4zIS9ScoQcMcw12cbhTCbHxTpXjnmcRFI6lwI5sn/YM0yZYZLMPMU5Fs5ij32cAilrtB7n99E4U82+EWo+LhljNd5a2romRuHD1I2oLrZrB2Ui5XDisqQJcuqZhsT7N4mx31LZi9lCWbL4HCJhkqy5lEzfDTM5NxOKOBNqa/GVE6VHjXQWzW6MkMlZoZh9ICzYnFDuOLfczmTdMiNVhbnVGGl/VY+YItZALuQxkEuEEqVTozTkviX2A3EcGaYRKDR1tVxZc5CbCSURUsBMXrp32oZqs+Fme4FGsf8Pf8PV5gKL4e3tLYeuY7fr5XuR0c5htCGnPDt+BoqWTo84TZQyUehxxwnna7ZXGl9nfCMaHQKPgOgcGC4uKtpGYe0N65Viv3ccdrfEOJKjCMUZDd5J4mVUmgMwi5otYI2x+GaF8xWbiyvqds16DgycdwxDN88bYrkNmRyNyEqfcwT03C81T7Axl+/VwZdWvaWT4XH+1KfHFwT2qbfAD/HW/pLjT0mGnwt2nmuR/H2f81xw8Byx/rQWPbOePTf+LAjC74NJ/vSDt8Dm5SR5KwGCZKFxGhmOe2J/JIcBhyyMRi2qigBLQVyx+LgtrIQySw4LCe+xTfH8eCzIvQQBjzwGiZSNRMlzKQBmFTOYhXYW/ezHk3vKE7Ek9n1H5Tzb1ZoXVzc0Vc2LT16wf6hIMXE8dIzjREoFYyzWuJl4Ilmr+NXrmeP/KDST56+slchIK6VRZemMSFACJS9eEQu6EBBhJemcHrrEftfRtA1GO5qVg6KIOdEdjozDnH3XLSkEVB5RzlG8J3sPqZYFzti5hipZXJpJpymflUOsQ2tD4+oZ+YGqatg/PJAL3L17x3634zCMWDWhPDwcJqY+8OkLqLxj27Yc90eGYaDretJBM5U9x9JgWwtdRjcaOzq+vPiSpm3oxyAtCUY6RcbjyLvXXxOOR7qHO74+RpSr+NlPf8rnn7/k809f0O8O6AKN8xwPE6+/e6C9cHjnaF1Nfziy2w90QZgp3iuqpqKqaqrKEcLs2pnFOc+WiNeFxmvCNAiKdWpPjVROY6yh3VSkuYyW0iIXDDkIwh4D5JC4e39HP2b6KTMMgjqZ+TJKBQ5ZdCVMGqlqJ/39TqDmlMTKWJFYrUWQaFXXYvOsIy9erKhqS9MaUjwSQo+auzXiCCVKm+y7Nw/UzrKqXomJkJIyWEmJaZDvnkuhO3bEnEglE3JhHCemmKgaj68sIUWsM0IGnS3MtZK+emcc1llxguw7KS3mTImLo2Q5GZvp+dq3Wkp2Wot6aYmZwzhQlLBJt5sVyTt0COxyYhw6hjDJInpuNBQncoQ4ZFQv57erKtog/iE36w3b1ZpV0/Ltq7e0vuXv//Efef3mLQ/vRzGuMuJlYowhpUlIyrmQlOizxDgyjIFhDGDu8VVNyIbtZUZZi3EKtKEQKdmilOXm5gata25uah4eag77Nd9+nRiGI/0xnc2dYqKUUkB8byuKES0G5zzri0va1ZpPP/9itqG+ZHGFPOwf0EYEtITDZERhdZ5zQBb4qOa29AWRBYyW4GApGyyL/6KaeE64W97nYwECPJ+gfiyh+9caf2yA8LFS/MdK9c+VYs4fPy8pLI8tCMLTz3gU8/vh8WdDED72ZZ5CG3/MyAsMxdwyppVoHqTE1B8Zuz3DcUcJIzpHfOWEnzCHALIhsEgM6jk4KB88Q8MMYT63nQKXyQJ7IoGopS97uTgehY1gtto8611V6hEiU9qgULi5Ph/I7PsjUwjUztOsWj774nOOuyPTONEfxZQkhQlTwClDW9UYE9E6Ms4udSEvRjRRpFcVuEo4G0plDKIKaA1SM9Qaq53UJXUNKqN1wdeGujZsN57Gr7C6QmUrtdyUSXpA64BCEcaOaThQhy3We0pVk3xFqWtKWmGcx+RWnCa1kYBsLhsZLfCk0k6IeEGMKUouuHZNi+blp1Ha81YP7B/uMSqw9oFYGvrjwN3xyBQLZuup1xVVYzj099y+H/nuHwa++A8rLl7WvPrpKxSWkgz7h4lxkG1wxlJpz5cvP+WmuUQfE92+YzgO/PSTV5iqZV0Z7m7veLh7oK1a0NJ3nMkUA2/vRrSaqF0vC1TMjGHOftEEFJbFU0+Ea3KaSGVi7O8Zu57Y3ZKmgZIzxhnMjJS1s9dDXTWEaWQcerKRC9xYi9MTrQuEKAhB95AYYmFI0HqpZ1etl+OWMt0uonNgCDtiFig4zWU4q+GTVysuLhpevdpiTCaMR+padDnSNBKZiErTtpZNvWHTaB7uD7wzDzgkUNi9gwP3WPNrfF3hq4rL6+s5YE3UtSOmzMNReADKiB9CCpHjbk8YHNY5pn7AWUtdO6nLG8161WC8Q2thyHtjUBevICVUivgYyTmhgtS74+K4ebqupSV5CiMUqBuHqizEQhoDOUScsbTrNf31Df2+I8bI797d0q4UVa3xlUcZjTNauoamif27W6ZuIE0R2zQo52iV46cvP+Xl1QuuL6756utv8Obv6MeRPkw4XwmqoS1qcXtFQVZo3Uiprlj6KTB1I9M333A5TFyGyKvPvsB7h3GWMQSm2LPvoKo861WLrzZcX1fUVWDsO4ZujbdirkbJxBAY+k7QQa2pm4aqqli1K1brLVVds95u5w4VT0yJlDMumblUKK6fZENc0Iw5JNPLda3UqZJbCsScTmjpEgxYa09BQ4wR7z3b7fbU2dB13Vni9WEr+dPf/zwJ6b/++GPWwoWD8DHUYQkGzkmK5/ct47zz8PeNf5USw3MH6U86cKWIpree4fS5pp5TlNr3NJLChEoCm5sFTmTOTk+fKzD7Yz+DXp41/34e5DxyDE7brRbDohn20vKk5SJAMcN+syxoktZHmLUSinqMiEkoRBTJGiNtj4hTYi7SulPVNSUWrDbEcSLGRIzyOqOkjUcvl1+ZC6tL2+ZMzBIUQSYArTTOSMuRtx5nDc4avDVYraTPXwsxrWkszou9b+0rnLEyF+Qk8KoqaJ1FICknUgpoqyDXc2up6OlrI+Y0SlshH6JQRrZFoTDGYoyjFOmhT0qjkmQ3xlf4DKvtBSGlk5W1KoHaTjQBlOlJw0gomViWdh6D8+Ko1/UDh6PCNpkYMy4rVLFMg4hP1VWFUqLJ763B1opPb17wZnpNd3dPPZey0tgz9R1jd2TlG4xaujVE9W+YpOSTUsKgUEUR55phAmLOhJTxOc9BgnSP5JyYpo44DqRxoMRJzmHrsNpQGTv7Aygqa1EpiqLd3NpqncMgQfMYC1MshGNEz/e1taGqHZuLNSElYszYLGZaJUapDGdxRFTztirV4J1i1VZQAuPYY7TDakVOoyAWWlG8ZOONb0h1JKwGAKapYPJETBPTsGeKE1UMrDar2a694ExLyYlpHDDOY5UipyRlRAUBKClTciBaQwke5zTJGhoj7XfFRbDSu5N0JdeUsqAiOmes0iIDnoRIm2d749NqNV8r1jpBQTSoIgZP9XqFMhbna7GC7nq6Yw/DQC6dkH+txeCkUwmR91ZoRt+B0tgswmHOV2wvrvj81T0lwevX73g4HLg7HECZubtBoVNC2bmbJSOiVMpilUVnRcqZEJO0/M7BKerRmRaViHnE5CKmTpUYIq3XNd5B5TLeWpzRkAsxTgyVoSgH2tI2LVUtAULbrkTPwIu1tyRGiz30UsZZiN/LvsyPKOwZG7woYSKUUiiz4t/5gn5OQlwWrqXsoLXmeDx+sKD9OASBE5rx7208FxycJ9QfS66XNem5ZPxjXQvn++c8UPiLcRCebujT3597/A9+7yLyyeImJmYu4hg4MBwPhBleNCrjFu7BHBzoExFxlg4tsIi6PAYJIiVKmTUP5oNgjJqjNjkyRZU5QJgj2RN8ppfqxWks5Mbs3En5K8ZHv+6UFYXIdnuFd47GeXHwi4lhnBD6lhB/6qZClQu6rme/PzALyZFDYOx7uu7IEGWS0l7g08p7rCs4q7lYr7DGYLWmaQQKX7c1TV1RVZ5VW+Odpak81hrRilBzKUWXuXyR2R93hNAx9BPWaYzRTGNHGcXMSuWBVNeEqsb6Gj+05BxwVUMNmKrBGo23Fco4sNK9oY2lbpTYacckHIsQMdbhqyh2t5eXhGli7HvCNHA83FFfHglDz+6771Ap0qVAiBNWwRc/+4LV5T2uHbnvR96+DdRXD1yWa262LxgPmWQT159fiGBVhGF3hBD58vKa3W+/Zff1d3RRkYzheOgoRaMwNC8sddPgqxbrKkKCKS91bpGSNlqToxjKdDGTh54hThQj/BhcOWk8POzfs9sFhruOugbnFGtbqL2hbSpUklJFlTMGLdC6lVYyW1WnICUpRT+OfPX6W2GXO8vFzTXrzYZPvvhCsr6Subu957A/8Ob1d3T9xDhG6FmSP7QJaDvSNAoQKL6yUtILY2QYE+GY6O+POGd4cXPB2l1y9fkN3hqmMFLlX/Hd+8Q3747c7XZoa4ipx3iPdRWXL15SiuKwe6BpV2gaxkPEWkezWkHIpJAI+4nRKGJlccbinKHJgPeoboR6JHqH9bV0zRiFMTXaKUzVipsniRwnco7EIAhNSTNJN+fZcTUL2gBgLf6ixa+F2xtMRX7Yk7qR24cdabhlc7GlqiraZi3aKdbM6JxBh4QaImRNMQWVNb5S/PTVZ1yutmjl+O7dO3799dfsuo6QMqZpZolizTCNpJRR0RGDiApVYSJTUM5IW+h6RdaFSELrhG0MttGgIllljmOa54mCdplaGxq/oXIWZwzemdP81SVHLGYWKtIYa4lak1Nh2B2gLNLGs9HTQkI2TpBQrdFW/GC0kg4UpWdzLiNKmcZYUsrELNfE0qWwcBEWk7FFM6NtW0Dm4XimNrusJU/Xlu8FCX/USvPve4g67+9/3vl+WhLSZZwT53/M+Fdpc3xunEc5f/hnyE28FAohBtLsyx6D9O5bo3FKtNWXTodTAUHBY0Awvxnn6giLU8MSgS1lE/V4QGZix8JFOGkplNnQqSzbOUPnZv6uxp6YuucBQtQaq4Q9llJiKFI60FphK49KhRIzMQbSJH7fKUbxjtBSj3XO4WMUpTIvMG29bnC+wlUVam7T2jQNRitxhqwEFm1qi59bAuvai9Pa7AWxZPe5ZOE6KHG7c6Yi6YjGkGIkpQAqzuzyyHGvCEOP9R7jKlzVMIQJWzXUIeLqFbaZcE0S61onQYC2TiSpEVTEWIcxItKT7GzvOt/vXUXKkWa7oT/sGLujqBD2R+LhgX1/hBgwNqOs4urmmuOb9/TTxMPdHmU9VdthvEdVGoIIs+hccEWEeNbO8MnVFcfPP+dNLnTjSDh2+KrGV05IsRjiJCqDJYNxUkrISpNmURjlnBSytCLPyouRjKGg9VxoyIXjOBBTwlspCXgHTmWczngNKSZZvKPGFIFvF8EdnYuof2qNrSu8texXLa72uLrCVI7aG1aVQVuZzJs2M02e65eWaQxMU2T/0DH0I/uHA0UFjke4u3tD5Q2VlZ72FPIsuGWpbEXfHZm6EZs7Vm3DeuWpVy1eV1ytPkFZQ31h+O1X3zGOgcPhCHoAbYk5o7RmmCLOWYr3cpy1Fr+Umcg69EdxIAxeJHytIVYVyk7koyH6HuMsqd2g5xbJyrv5p8HMpDylNMztp+QMWhAf8szRsQr83CGdZ4HPkokp49sNG1NhfMP+9TuO7+/pjke6Y8feHNjMUtVGKUrKdLs9KRZc3bC+vhFU4dCLpHK75rNPP0M7z5QK+vY9x2EkanWyptbOoww4vyaEiAojOmfQ4NsKVzl87clKEUpC5Yjzi46ASINn0pzEJFJJMIvGxQSKjLWzfbeyKOXIWQs6mTI6RLy1Eiwg82nJSZBIwFlDU9c0TTuXatXsuDvPuFmSiqQWJ8lZZG2GvM/Xi0U9MYQgNuVnCovDMJzmyyVAeBokfLTP/98perCMP7zNccn8P/6ez+2L5ygA5+/9+8ZfhKS4POePRRC0UrMEchEhn3Fg6jvCcCSFCV0S3hqcUliVT7LKYu5ytl2nbT0vMZyjCeWEIMi2y80YI7DZKUAoj29Y5u6E+b0lghbodWnxWYSTUnoMEKgqgs4MhyMhBaZxYuUrrHFUzgn5MktEPQ0jYz+Sk0giWyufVXkvwk6AMhbrPdsX17SrFU27wnmHMZba+dlEpmCNLE7OyiRhjZQWtFK4pW6IeMLHFJnSol5m8LYmpYjRjiGMswJbQbzjI8SAVaKmZpxHO4/vBwkQxoBrN/h2xK8SxlWYKsjzrJ8hdUtd1aeyS9ZW3O6ymADlFNHNnJ1UjsP9Lf1hRw6B7v6Wh/7Aoe8I/ZG6Al9VXL+44c3DnuMwcne3o2iPrw5sLq9wWlOCkZixFHyxWFVYOcun19fYn/2Uw29/R99NxK6nsZ7GGtIo3RMxjYyDuPFZL0WtlM1cetAo52epZEXJgaQKiXw6/SJi4tQNAzFC42BdS4CgSsKrjFeZMUdKKhRmWWdtsXN9V84J4ZOs65bGRw6rFe1mRb1uOEwj3kDlEEJi5bhpoagVpVwJYhMj79++5e72ga9+d6DbB/bHwPt3HdtNS3N9xTSO5JyprccaT+Mb9rdHhiEQj3viVuPKmpWvsdZwtTasrj0vfcWh33N7u+P+4Uic++GHsRMVPlvR1DU0rUTYKUlnUozEEBkOEiCYECVAMIap8iQt2X8/33e8kGDTOcOqrai8Zd1WeKfxTuMW51ZjxYF0hsqlLAdGWYyylGxIMdMdRfNiyhm/2lBvDK++qHlrf8Vthvf/9C8MgwhqfaENTVWj0eQQ2R8fiCFTh8SLTz4nlsJxf8Bvtri64otPP8NVDbFoRhTqsOeh74HZV8U6FJbaXqHjBNNIZUTUqN22KKtQBkKeiCWjs3AmbO1mS/dEnoP2nCKpiC4MOc5ogCQOTim0FbfSlA19mCBLINHWFc5aKjeXXst8nmmonWPdNlxcXpCSkE3HmImz6mMqBVImkchFiIpKS7J1UjqEUzfDkuWO43hCFpYAYQkclvueGjg9GyD8hfGDP0cXw+9Lrs/++t7zPxYYLD+/18HwlyQp/iHjjw0StNEYpUUIKSemsWfoO0LfY2ISTQTvcUqMmuJwFMayWb7ewjNQp//P/wZOvATZmQvzU51IIUojUG45i+KKTC4x5jmOVicGrigH6tmTYDkoj3Ug3SqSg8vthYQqWaFSeWy7UvL3eruhtCvYSnCglWidozQhJ8YQGKZJ4nRjqNYtZoY8Fw8GXTRq9iXQWrgBSovew1Lv1EBEAoFSFFMfGYeJ/b6jXUlt8vJmgzGKlCaO7x7ohiPM5YaqNuRUSEqTUyCECaxnzKB9T58Lbphww0Q1ZYyrsPWEr1tc1VDUiDWWUsCt1jhfga+IkyeGeNrn1ljQmmwt1WorcrBTz9V2w5evbpiOP2M87Pj7//K/k3Y7tNFcbDest1ve7kVG+Ouv3vDX7SW6texvD9TW0FpNFRJdd+S//uPfo3NCl0y/eyANI9vGo3JkOBzwfs2xG/kvf/cN2moury54OAykLEhHP8m+XbciObtpa3IcIQXU7KCYsggZTVFOo9orrl5q6sqiUDzcD0QCUfekcTq1pRir8NrKOVwKOQRSjIRJs1q3gOh/LGW219+8pehC1+1YbVY0qxpzsaNZeW5ubrAGrCtsLzXrzQU/+fKCMBZiSHS7e0oqTGHk/v7INATWlcPdvGD76oZybeiPHW/fvOP4cM9Xv7rj8mJL2za8uHnBjjvu0pHXrw/sDxNTAF8tsUAUXS5dkVMkTCPGJEqKdCmLBHAIHB8exJJ51ZKNoVjD6AWZiZPogRRj6VWL8hFrFcdxxFnD6mjwTlN7TeM1zii8mTucNNgi80KYAjkFSgKtPVpZXNNiK02bFX0v/J/9OLG+uGAzmxLt93vevXvP0Hd8+8039MeBqm5oVxvCMEJR/O5Xv6IoTURRx4JtGtxqxeX2gp9oQ58z9u6Oh69/R4qRKWVcU2NNhVY1tW+o20IsgVQSh36Q+r7JNKsK5w1VW6GMIuTA8fCAUoV12+Brh9UVYRDiZOhnHZIsNvODmgnb7Sc4X6O0ntGBipurC1ZNTesdZCnRVN5SOcvV5SXDMHA4HIhROpJCLCcTMmY1TGOMtHE6j7WelBPdYfdBq+Ni0gSPfISqqmiaRlDTM4fC86TzKRLxbzX+lODgj/i0H/Wsp8HDeScD/GHb/CcHCEVJbb7MNf9HSH/+W511EhQea/jzSitwvZ4hfLU8Tcho82Kt84jJotmfpxGmARVGVJxkIgc05nH5V1qIP8o8blCZFf3mcoIuIpSUkW3RcwlhKR0ImUp9sF3yfRfg4HEnm1mq0CiNMeqkAqfmC3AJSfK8YJdSwBqy1ZK1M29XjJSYCRnpMc4Kqy3MbWRLgOCdR2lNohBiZAzxZGpkKz97Oivi7IJHSiiVJDCYuxmkp1y+c0pJyGlFIdedZgoTY5gYp5GqrU/8jSKSRUIGK5YUpQSRoyXmOXpXmaIjxYBOR7QL5KJJIYrtcs5YX5FDD3EFsRUbWeuZTGFyGuc0xlbiVqkt2WThAFTVfEwz2jpsqVltLtBNjQ0ted0yrtf8yz/9I9M0okBq9kqz8jUxQ5oCtigcmjBNOBzZVIw504fAm/2BNCXSlLk9TvQxoZQRgYU0ofuefRe52x24uFqxqms4INa9RWrnuRRqX9E2NetVy9AhJkRpFJ2OkmeOh9xvvGF7UxPGTJwyZZYDTlmRYoGcySaBiWj0yfI7EchJkZMijSNoTWNbdLKELjN2kkG+1w+EIAuxTUfyVLOtLzBGkC6LdAnUrahTppC5y+IXEKaI1pJ5x1yYYmIMUdRNtSUWRT8EjoeRfoSmnsg07EvHXdqx2wf6oaDnslsuQJq7amaFRDTEklBJHi9FqJwhRzKaUPKsKqk4jBOqiBYBuVBMIQ4dKhqSBlVXZGdQWROsJkyaXDuc1QQrpFNjRNVSoSjGkrJA8SqJq2FlLEqXWfgnonIENeJqg9crtjcblIcxdXTHgW7oQRXasMI7YeWroohph3YeU9XkcSJrg2tqvIHNynN50TLlkfbOwwhximijhcgLsyKpkC1VLoRp0RbQ2JnAaLJBRSipQJAFQWeDQYiuWDAlztInc8lgnodSLpi5ZGq02Mo7V7HdXrBZrU7BptVgjRIOUdMyhMQY85z0yFxZ1KzSuvSinibNRxJjLuUkm65n74BT+yKPrrQLMnpCfZfbaX15/CklBZljH8Hd5dXfT0yfEvp+n77AD42/ZHDyuJ1nKe4T7t9jifx8+x6T3z90m//kAGGwEWsCLI2D5eympGa5kOpQUPsGhWLoIzEJs1spxywbQspz37YTeLyqW6r7f8Lvfiua3SnCOOLObD8VEONjn7JxW5RS0oerzwKNeQdaFrKGTOg5L8SNJD3xS71nPs3y+d8LGnA6KFA17snOV2gtE+DjwZpJfzMHolYVJVvMrEUgF5YFB8U2j2Ycs1NkyvHklZ5KgRIBISBV1VIOSeTSzSI0BVsyuUQS/an0IfQMWZlk31iGKZ50H1atGOfEYSR5oFWsblasVitu73ZCFJzAuRvWqwu6rqNEGA6KPPWoFMg5Ugjk0qPMPcoUqsbJrfWwbbHe4ZqG3LakpsWtrym+YXe8pN9f4OotzcWnFO0JOEq1gsbjbl6gY4e9+x3RGBSez3/6S1QMxO6Amibi0PMf/1MkDD15GvjtP/8z3fHAL168lDarMPLSGlaqcBg7SrVFr1u+fnvgPmVe37zkb//3r/nb/+0brl8oEZVRE86CtQp//C0pFeIK7KbQbAr5u0AcMnkSlz6tDT+7ecV2vWa9WvPNV19xP050xx5jMk2rqRqwHo4dVDcbPvvPX/K3/+uvuX3ouaxrtKmJZkUX3pLDSMkdGmg8rGZO26hg6GEYFMfvElV9wc8//R/56vU7vn13iw1rQhz57esdVy8D20tPkx1Dq3CvM+2qwlcOpSuwilQZlC04Vbhaecq6gCqsVnuGoef+7p678cj7f/p7kdpFMzae45S4K/Db7zpi7NC/upPZxRUe9qCM4pNPLX1IPPSZqhEDsGQjF5XFXrQ8POzmbNHQrlc4VzOMO5Qy6KaSkl2B1w+dlM68GAoZrbh49y25JEJO1DcvUE1NbxRHICloL7ZY5wTCN7LotjNR99XLF+RpJA493cMtJQSafDfPSFmCQlXYroB2Qyk1K9viRlh9nvjVP/wjD998x/vvYLvaUvsBHV+B2TBNntXmkuvPX5D7DPGIshN1rahWmvSl5/JmS3Ivud31vL3vGYKmFI1W3WnOqLSmNoqt38ztyQZjHCRID2meCws37StZ6AeDjUaCPqdRNZR6mUcSUxR/j5gSCgPTRJwmVCpEbdmur7i+vua7777j8vKSL7/8UsjQw8hX795yOEzsDkibpTHCeZnn12VeTimQUiAs86LSaOtwdSW6BzOB+3jYi2+DAmUEGb17uCfnjHH2ewuaQrRepEKU50T0w+doPaO+fFjy/hjb/w8d569/atb0Q10Kz73+x4wF7X0aDCw3rR8DgfkT5udJe/2yjcYggbn5cUv/n6nEUD7YtMcxR3Wnv+b2QPTMcgVTFk0CYWqjzywpcyKMAzZM2BQpWRbLE85f5s/93s6aX/8kenoKvSi1RJwzO3Q2U+JJVEbOPD3k56fE99/7w31zCg7OHyjSylcWnkR+jGZLKbNd8NK//ejclXOe3SnlvT9kpUqmKa9fIui5teUcvWDxiFgu6OW9CzEldEpiJhOXm7THTdNEmN0iYxZltIJYMVMKWXJbIUgVNZM3s7SaGVloihLyoA2BkBMmRsw0UWeN8RMuanLWlKwwfgW6IhZPURNKe+JQY/IkpR8tRNOsDUVlAsL9iMpg2jW2bqi0ImYYuiMXm5ZxHDgcD7OZTGAcDmhbMK4Qxj2kntpE1lXmclVY1Y6qsqxXDf2xo+97aqvxzrJ5WdFUQuBsa6ROXByHg6gXNrVju2l4cXNNDj2Vh6+/vieEwm4nZDLU40UbpumE7uz3gWgVVBqljTDHTUAJ1YEpSD3YOjARdJSgdYqJh92e/eHI8dgxKbGNzgXGMXI8FPohctxHwpDEWMcatBHti/XWsdo0VJXDOtBWRJrK3N7KEuSWIoqOFErKGKNoV24m50p5z9YeU3ua2yMpJ2qP1KxjZugLJmRymdjd79Aa7nYPKKVo1xuMVqRgkbY6NdPgZN5oVg3MrcZaSbI6TaMAZ1aTUmCaFCEnMAblnDhPxkA/jWhjsN4Qw8jQW3LscUZ4CklkOBlzwqmCVWUuF2Ss0Wg1oYrIRmsjzP3VpuX6egvTnsLI+/dviStHW4Gz16QkyqNUSvQNxiCo6dwx1FSeF9dXYCqmbEn3PSHI9SKCTnKT/S7JzglhRaGMcJ8kuNIz8+kRBX1cHKXDCVUwZXb+Q8jOSosp3MIJSEn0Cpbugq7rOB47hmHgeOyIMc3npH0sqX4kIz/VwOfbaQr8gcz9vJ//NA//6PHng/0/1jr43N8/pP3z50Aafnh/wVNU4Tkewvntx4w/vYvhrJqvyvm9ikXK9/xrpTzzXrVCF4O1hTjr1SvF3MqoZSLJmTEEXJg+0OF+rg/2ZKOs9Q/ugOdO4scd+qF29bmYx1Nyx4/lUzw9IMvPnOY++Ge29RQQpHgWGEh/dIxR9ujZfjj/uQRQp/sAyiN3YrlfJldNURKZPrZiSttUmNurZJIQwtg0idrbwu6OKS+dcTMkKCzsorR0QJR5H5VMnvKMxmQwCuMsNmfUFFHDRMwG6wN1MpRZxcL6FqUrIhXMvdqx8xSV0UBeVO2UFkb3TDxNyqDrlspaLtcrbFUTxoHKwPG4R9050IoQA0N/oBAoTKSxR6eJ1kau28ynV2AbS1XXvHxxzXehcLjrsWvNyjuuLjaEaSKME6tGoWpN4xpU7hm6QttYNpuGVy+vIA9UvvDu/W+YQmB/yFhXMAbaFhSirmh0wRrFwz4SXUGnwsoanPUiTCWin0yjBBarNdgIJkBIihQl+9rv93RdR/aRNJNopylRSMQ9GHoODzvSfPy0hXZlefGq4eblFev1ivW2whXJEOMikQwnem8W0gUlZ5zVrFae9UpQvMqJhr9framq14zjIPbaY0blyDQAOpPyyP5hB2XibnePdbMHQxEHUFKckQMpyRiluVi1hJCk5ddZzFwqss5QWS/B7ZjpxwlbebxWhHGkUHjY77DO4mtHDA5rNN1OcbFpuViv5u+UmeI0d4cohnHulLIGqya0kqxWXCcV680KXSLjoWc8Bt69e0sOLbG1XF9eEmOk646oImUPPUjHizIGXTvqyvPi+pqiK/qg2e8nYggwz0fWWelamRMsqcnM9eUZGXxk+nO67gunp8o+1NJNoIo+ibtZa/FVhTHS9WRm4aIYpXMqxnjiGxyP4sR4PB4f2x2NOd2Wkcuc7Cl1Qm211uJ1c8aNe24uf+7+f2/jz4FA/LnGx/bfc6WHcz7Cj7Wo/lcgKao5Z4aMcABMeYzpYpybYoyZ6/RIZFEWVT0JEPrYM4WJYX/AhwNuZrOe93Cef/HzE9UYc1rMfyhyWnbYo3CH6JAv0diyoC4tOrJjl/sX90R57vLdl3LC92988FMyeBF/4rGEJplZXrwK0uk7S4AgWdzyLh8GCPM+eebi0hjJvhZOxRLsqAQFpimcPstaYav3w0DfD+wORzbHjqI094eD7ANjJFiIi5lVFlvjmZQZ557yIMmY8ExiwoaMHRV9iBgrvgVKi11stx9wVUOz7WkPB+rVltwNKOtJqkIbh7GeEA/QNpiLLdbJpGnqGh0rsraUEGGaUPsjWSmmyjM1gaAs49QTrEevV/RpIEwd3333W6wpeK+5ebHlovZ8+XnLpV7z5fbAf/mXyLE/8P53R6ZjxGdoikINke9u3xKmQk7wi5++YLtZc3P1guOxJ0yJn3xxyWrlMPbIap1Q2vEf/w8/I8SJmCJdt6cfBl6/PtK0LV9+8QXb5ob9/cD/92//hRwKKkl7XiqZ3RGmKIZDlQed4HC7HHpN3a5JpeLhMDCkkYkJlTJKZ9YVWCtBxeWFO7kehhiIOWMM1A4sin5/ZOw6fvPbnhgLIWg2F+A9cqIudd4iaGBTNVjn8c5T+RarpQY/pcgUI59cbSissd5x7HuOfc/uuCfljLaadt1QtRXOXEiQetxzvJ0IUc7PytfYuc3OaMMuFY7HI99+/R03Nzes1y03W4/3Dl9V7A8H+nHgfr+jWa24vLnCh0oErfYP1G1N5VZcry/x3tF3B7wx1N7TTyMxFbFh9g5lLVNWgMWaWtCtlFBGQxLEYXt5wcVmzdQl3n134Ktf3zP279k3I9Ze4MbA7tjTXq9wKy8lSaT/0lWW2ls+XV9TVRuMXRGGzH7XEwOngGkhXIewmMAJhK60EgfMWeo4hHDiSQnKwJJ5oYzCFIuelUxLEY6SryqsFZLiMi8ejkfiLMikuo73t7enroJhHKmqimpGGxYkYplXlrZulm2Yg46MIsR0WrzOFf3+kKz2vw8Z54HAwuU471gATmvj8vvyur9YgKDKyTuQ8yLDKXJdgoMZwl8W1sVcSKEwM/xuNSyGLCoHSpxIU0+K0wfBwdMA4WQpfPbzHKJ6eju//+lOVmiZA0s5/ZRz+BGyn6sO8zZ8KP/5XDnj/P4PR+EUTZ2VAE7f8ex3KTnMtyfv8RiknEViZ4+r5d+JYcmp7LBc0MstxgRKi19ACIzjxDhOWDcxjCOgsE5MdVKS1T/Pt4hCF4hFkYqSn3kWm5qfk4qi6IiJCpMzajaLQRlSECU8XaSDw2DQ1lOMsKCL80QLsCbXbl4wNFOysh3GorUIL9nVVnq4naVU0k9dllZPEmGMlCTCWymNTEOAaHEUtk0D1xWV2vD2buIdgTdv9sQRCJAGERzqDxGK6Mt7I5K/zijWrSM3Fq0nclZMAYoa0DbifEEZMKnMAlE1SlW8eHHJqm2xucarnqo2jCkJYdEyyxFbisokirDGNMSQUUW6T5R1qGSIcTzZfwsqpvCVwbiCNmDTWdgqSLa0sCnxXrDGCGwtFD7JqIdMio8TSykz7K8MppHXVt7TzG2qxhgYB2KccPPFbrRiVTucg7oRkrB1DuMt2hm0EgQr5kyaIM7Oqjkopv6Isx5lHaRADhNx6pmGjsko8sqduEQxBOmCiJGSxPAqBRGTEjt4i84JlRMqCwGwJPF0GYeBOE2EKWKUQatCWsJr68WMbOYRoSRbNk7Y+HVTY90obZzDiMqaru9wsaCmhFlZdKUgi114SVIS1CA+HnXhYp253GxQRXM4Bsyc1S9zh8xtj8d2uWktaEdMcSYKLxOwmhfpsw6tec7NZFRJc7KmT4kViFMjyNwW53JDnHlfT+e3Ah/MzedJ3Hm5dykHy/lTnk32/q3Hc+WRHyod/CXHc6j10/XrY+WdcwT7vFX0940/OUBYCIlPGQjz6QHM5fUii1RmnpBSmY2GhB1rlMKq8lh3Hw/kYSB1D8TSE4kfLp5nX/a8tXD5+2lk+hzM/xR6kYq2RFvn2fl5ueFpbezpNp2Pp59zfv+JU3K+506/nAUjRXq2lxrB4+c8ogbnO/37R2IOeuZ/M84vznozqzhOswZ8SmgTsVnR9QPHbmB/7Hg4HAgF7h/2KCOa7dMkjpLnwVias5hcEPZ91qSkKVn6THQqmCh6EMaAHfOJMJanzGQHUjeRDkem9oHx4U6UFu1MVq1qxumefr/i0D3grMcYx3q1xfmKumpZrTY449gU6TrQzG2eQ0etAyX0pOFAODp873g1vmA43jIeO1TYYWLgyq/45Mst5udX1I3lX3594P/193/LOBVShHfHIPNugetry8WFJY8jhxToD/dsL1Y0TcW797dYp1n3DVqLINbt3W/o+0DXRX7y00/49NOX/D/+n/8DKCMyyU5jdYUxmphGdodAXVXYynGxtSgmFCOrqxajoTt0xGhIyZFdRULTTwfxsjAG4w3Ww/rCoKy0w3SvB1IUblCY2yz1Gqy2bFdrLq+2ErjoPF+shf/Pf/kVb797IJ1RgJwF5zRXVxlTFPgWXUs3j1VWRJ3iROyPpBSJFFbrFS82K159/kvadcvl1QW7w4H98cCvfv1rUk406xX39w8c9kd2+wMxTOzev+Xi4oKqXdM4oDZctB6mnj5NPFQKPzqqaSRGIRVerFvqtqIymhhGcoqYNGKTwaXA8fYtgzEYazmEkX73wP39PSkmvKsIbaHJilxm5cpqLYJYCXKIUlOHOTuX66JZDbQrGA4DfR9o37zBVy2ubqk2Dt8YrG4ksSgFQiAbgyuZbV3hdE0JmodDz+++fUuYeUB51gIwRjFbb/GIWCKLvDWoOBPG504ItJ67IhSYpUtJUMUyS35rpb83py1oQVVV5Cz8oyVDrev6lJWeKxw+linF1v683JuzaFmbU4D5/bn8vEzx77nEcD7+PWzn01LzMs45JcCHgZv6CyEIEiDMG7pssFJQFp8DtdAEF68kRP89U1RClVmoB1AlksNInCZyf4BxwKYBRZTaNd+vuTzHPXiKLDyHICyvP9XHZulktWgzn9COudZ4WqDz7FC2PI9H60R19nNei5U+w1fmx8uc1Wm1RAmPaMVcsodTD8Vzt8fxwUmxnCiPv6IWGuHS1pkWaK/MC3khxkSIovNuYqIoLZrvITJMga4fQBm6cZrbK/XpZNNnF7qcdIqcxQo2F00qM7xVpLyhSiHPhEzN7O6mjCjnlURkZCpQQiD1HdoYjLOwalF1w6gm4thyiAHnRFgq9Hu8b2jaDaVkKt+CVRhdUTlPUdIzr9LA1O2IOUCssSrx4ovP6HeWw30ml45u7Ljf3bK93LBZbfnyJ59h/cD/6T+/5v37Hff3Bw57OVeaxrCqHd44Dg8dWkPVQE4jfWWpV4VcFMfuwDAUQkikHNhe1Pz859e8eHFN0za8f/eGcUp0fcDbDWEsrNqGqU8cTODY98QYUMoK4qIKzfZGWigvEw/3HQ/3Pbtjxzhk7rsdOQnPRxQ3Nd450FGyzfWKHEUlcxilm0gVyFFstfvKQcl4r2cnRctPP3/JzeWGYRiZQmQcp1n1LjN2E3Hcs7+fsO5esl5jsCbiTMQ5Q+Ud2huqpqJ2VjRMU4IUabzD2g3mlz8nJkEQVnVDv+353e++5v5+4Ls3PTn0xE3mol2jc+Zqu6E7doRp5N27d1hr8JWjaURC/OX1Nb7y1I3ncNwzpYzJgdgf2aeJHRnnPZ999hlTL9D53f09pSgutpegRulIMQZbNKobaY2jNkasjI20FaeS6aeJkCPGGa5fbnkXe7pD4tAdaVDYuiaVREoiXqSSggQ5TKAUaRxQuqKyNS8uttSuYtcNdF1H1yfGIIJcznkhR2pDSsv1LuRf6RIwQDkRKNUiJalFhholc9IjLbxIi3j5/sJ9Dlkvv5/Ptcscej4fP73vg8e0tHPDI+r6sez8udr6v8U4375/D9v0MRTjY4HKedD1QaL6l0IQlh6EJW8VtPvRKVEtQcKccSmNGIWkhKWQ9ZzjqoJKkRwG0tCRxgNlHLF5QBFOAcJz2f/HUIKP8Q7gERn43mMf7LcF+z9V/RfQ9clOOHveXPMry91PA4b5Pq3V6aJU8+tznnuB1VKiKR/AiE8DhOdIik8fUyDWukoucOlYKCc4NmXxiFiCBBsSBcWUkvS7T4l+nEAbhnFEaUNGnbQW9BLUFIGbQZOSosydCLkYKDIxLOWoXBQqS/uomg1vYhrIKRPzhMqJPI0EIy1pzltsXGFCy6QnwtTSh0j0NcY6hk58EUIYsdZRVoWiHNpbfNuinRFlvuEgRkn9HuVrtIHtVnOsQOuR7rZjnEZ2+x1+5VkbxSef3tC0hfv/9AW/+63i669HfjcFSoGLtaGqRIHv/tChdUJrRYo9Qw+29igN45jZ7TLDWGgauLxs+Ou/+YK2XUNR/MM//Av7w8DDw8DVxSu0rmibhr4OWNfRjyNTmHC+FTMtU6jXV2wvLlBKM6a33D284XDs6fqJh/6AN47KeIxRGKOlbKCFUlo3NTllplloSAWBuUvKotrZmVl1r0LhqL3ls0+uyKVwPBzph4HDoWN/6BhH0T/oxsA4HpjXLLSGy63l+sJxeXVJ5Sx1U2G8EANVluCgxEjlxSb75vKSECMPhz3b1ZpxHNnd3XN4yDzc9RhGiIHhsqPyTsiKfc8YA7vugNIK6wwvX77AOcfldov3FusUYTiSKZgcicPEdEwMYaSua7749FOmYeDh4YGHuweUNtTNmszEFMHXNSYnEhO20VRmNg0zBld54tgTw0RISYSzbjY83EbKIdL1Hdo4Nmo2OsuiBaKtliAhBIoSDQvtDZVX2PWKyte82R8oJTFNA0NJsxa/n0WGHBBP5b3ln7GSCGgt27cQKZVWUqbSSxL0KFWgixEC5RlSeo7ALvPJ0+DgfJ5d5tMfKu+iHrstzoOA83r407nsL7kQ/xAK/DQ4+LdGDj4WHDxXggA+OLZ/yPgzBgiFJV99dElc3BAe5YKMUqAWpr04f2WViCVRhiPj8cDYHUjHPSolmqUX+fwz1fd5B/Bh9PsxnsL5fUtUfCJtlEXw6TwwUHD6/HMlxUJZiBYfOEEun6FPwYCakYLvXVg8BnIfO27nZJ6nF89zdb/vdXrkgkpFtkcrsSieA4NcpI+46wZCTIQk4jc2epFMnTUpjsPElOE4RSChY6aqK/Gxz+n0fVBzVpCSSFMXBcWgMJgZD8mz7kNWwqtwzlOKJwWRhi06iWxS3yEAAQAASURBVOObSaQ8onTBWyAMpOkI8Uipa8ymw7drXFWTQwWhJsSOfZ4YdiuybanrFXF7iXMVAPthIAF2vQZXUHkkpR16HalLRnsLcaDLA989jNz13/HJzac4u+V/+T//z3z62Rd8+c07Pvn0Pbe3e379q99xexvJ2fA3/8NnXN+s+OKnV0xhR0gHMg84D+ttxX+6uKRpWpTSxFAY+iNvvtsRJnEdHI+R3/7qjvCZYdWuuLm5xLkG71f87ndvGIaJ3RhQKqN0YjeCGgsxTLy5P/Lt7QPdMRKmzARYBcrMNt+lUJIoCGoN49AJwkDBG3Da4NzMUwCGQ8dwPLK7yzjvaNqK1arFOYfWhnW9YtNseHktKqL3uwPHw8Bh39H1AzGKLXCOie6QsObA6Af63oIRYx8721nnlPBKkJ523aKU4uLighCikGenyKp5TX94YOhh7DL/8F+/Zb2u+PTlmuurS169fMm3+x37w5G723u6w2u8v4U0cbFdcXWxQaWJSheSMey7A/f39/jaYyvHqnJ0h0IahYOAsnT9hE3zdtYVBUsIYJkoMVJXCm0t9aqlyxNpLIwpoqzh5tVL7t4HxjERhkAkoqxinAbUIaHvAq4xuLXFlRabM8n3qGzRRLytMMbx8vpSjmOK5BCIMWFnLQ7rpNUyZUFj0VBUxlaiyaJOhklqLjUwowfSInlak1XBa49R7oM55FzeeOEdnAcJ5zLJ5/PpU5LiUvq11s4lGf3B856iEuef+9/H7x/nc/1zP8+P6QeozY/cv38ekuKMtH8/+15S35modiLULQukgpLJIZJzJA0dYeiIQ0eJI6qIbCwLRvF7UIPznbJ8xve290lE+EHZYYkLeKyznv/+FM3/OOSkTj+fBgen55XTf4+/L0HTfDsPDD74yYcHv2SRTy358eJcBERKLqg4R/NaE0MgLQECUgedpkhIUTKgEMlKS4lgDvJCzGQlao25FEoIYnakYTq7yBdCW8lLkCb8B9lZSx806DkGK0oRohGFuyT98wUtcYYS+Val5Hu5aTq59ekUySpRVII8kZUHO5IKBGMpMVDshEoBaxS5bqVbJU6gJCPUDlTylCFiS6JWBe8NOfakYSf+GFNgGybQgbrZ0mxWbC4jVy8gZk1R35IVFG3YXF5yeb3h6uaafoQQIBElQFhbNltPU1tigD4FwjgwdIEwZciOHDMxSL+8QqGaBjP32NezkmXV1KAyhcQYCocu0PU9D4eBfR+IQWRv9bwwSLfoEkwmhAck55qaz0WtJPzVar4+cxFxLpLA1iXjjGbUAzkmnJfFyzqpeVtdWDUFVTQlIYI3uTBNmWkOTOomze16ImucxsRut5dzriTW2w2rsBZNBmNOiFZMGe8rVuuGm5s1798NHELkeAzkBN4a2tUWX1Wsy5qUC4f9keM+MAyJt28eRDWThHcaIT/PAWgIJK0JY2A4dkzDQJgmUkwUBeMYxAbZID2g2pJyYUqJsYgGAFp4VEobtBV5YeUs3tZUdYVvKsYhEk9EvxGlE66HrCw4h3ZWULkYKDqIqAURrQxN5RmbiqGtGYaKaYoUPbslqoIxoiWjkjqRws1s3MUpSJDrXhL48mQumv/Wiz7C7BiIqCeWAmkpM8yT3kKSVlo/zvlnCdhJAbFI0qhmpHHBM58mcx/jaZ0/9m85/r1sx3PjaXDwXIDw9Pcf4sw9N/50DgIfrKvSH81pCjp7BifugSoZbyymBHQqhK4jTz3D7h2pP5LGHkvEqII3hqQtWYln+NOI8/zEekosfI6DsIwPuAfz35RFmev5nXoegX1sRz/9nI+OsqAoj++XTu2NcWYMi0jRQvw5tT/O5MKU0olT8PR5pwAiFRjTCWo8vc98IecCu24gxkjIiagMLivxHNSWbCxjlN71mBUxJcYYcXWLsppujCit5uwySUDAHBNkhKFaRKxIz4/GueRkhQdPKppx1CglkH0xGodoy5eCmBX1gSkX+hDRJmN3I/riitKsCNpjXItfHQhTT65WFNOSqpbU73HNGmMdKEPb1my21zgDJQd27x11uUIT8CZS0sRh9473799y9/4dbQgMHKmLYdSg1y0vvtiQ7Br3T9/h1hrnLJ98+VOub9ZsrhvsmAlRsd6ssTZizESaJna7I8f9xNhHjrvI0EEKCqVqyUo9HPY7jocDD35ktb5ge/WCV2MgxMTm8lpKQimy6yO3+zvevn3L7fsD9/cTrRdL77Y2OKvQtoAtFC022hhZgCtfnYLJlIOIICVQoRAnTS4RyGgDGHHw6/cdXSk0qxbnKlJdsK5CKcOqWeGMp7KNBJuh47ALpCTnQdMWnFf4ekW/u+dht6MbJ2k7jCOvPnnFzYsbfvk3f40xhuOxI0QJYkuBptnw81/+NSn9hnG85f4eDvvAmzcPrNbXtGvNixevqOsGReIfH+54uB/pDu94dW0ZvnDcXG+pKgclUkJAZxgOI2l64Df//C/0Y6DrR8IUyarwsDuwVh5dGZSrUcaRJ/E9KXnAVyusKZAj2jnq1QrX1qjs8LZlfXnBMMD93TuGaRTfgmwZJkN2A1V0JFWBkfJc5VfkZEjZUSxk61ivajQb/Ezi7oaBw3EQxUESdVWDUsTCKaBy3qOMYK6LfwzLD/EQ43F6mh/TizTyHESh0NpRSmEcRxYCYUpzsJDnQN9K+dAImUgCC5hbKOf5ck4K0qxjobUsOecZ7fnceT6P//fx4fhYaeOHFv8FDToX2pP5/y9l1lRmbsEcJZwCA/Xhk05gfU6oUnBOo7O0xY1xJIwdw3EPYYA4oo1odgs0bU4KXB9bgJ9GT0td62nm/hzJ47kSxenv8/t5Pjh4esjOWQsfuy+XIs5182MlLxNiOZMqFUXDNCMEIp6UT5l8mqHcFB8DgymKlOpCRCQV8pCEsKQ0IYazuqVE/MMURVwmJbSLZB0xzlKUAW2IRbYvK00kM8ZEQgSKQhZ3BpXFalurfLafzgSakgQIqigmZnIrWt4DRQhzZlTN1s9GE0wgZxExohhC0pgRKlPY5kwaRkKGYzigXUc1RogZ1wxghcuSh56palDGoaxnOlRMx5bNdoNzlqbdYL2R7DVPlBRQzTVm8zmrl3vC+6/EaKqpMKWisjCUQj0qPv/lXwsyVuC3b97zMB7Q7UvevPmW/eE1P/1ZS11DXWX6/WGu7ydyUKTJMg2FMBTGYWS3CwzDrIxoQRuoas/F5ZbXb2+Zhon98UhV1zSrDShFVgG0Q83ZX8wSmltd5utFY6yas8FECOLkp3M1C3kuaM8syGMN3jlyVpSSQCXRzS8Kbax8ZioMcaDrRpS2aONYrS8w2rLZ1Gy7gVwM72zPxWXNxeWaz77YUjce5y1p13HoC7YEQirc7TPHccftLtBH4ZvEJDopSls2my1KO9abK168GjCu5Sc/XfPwcOC3v/mKYRq53x0pU4/WipubG/afjDQ+M3QBRWIcCrv7Pc6K7GwIQYjVGdIUef/uHcbVVFXN2tRENLEIopVnn4lcIrvDkQsb0S5LK2aOhLFn3XiqpqFZrSlRo7EiJ9w0xJlPc79/YKNqauVoosZGiJMiThNGa+I4ovEkNUIykAtu09BUHsOKaRoxRjP0Iwm5to2R42KUpqiJRMFYMzvfPs5Motb64VylTpwogfVLPvNEKAV71g32dC5d5qZza+anpd7zMsVjUieB6/n8+xTJ/bcez3Efnlsn/j1s68fGD6EGz4kN/tD48wglnX+YOjXUzcj5OQzPySxEn2yTMjGOhKknDB06T+gcxMERdWrGSXx4Ev3QCfUcfHX+8/x5H4z5olnuPS10PN6fy2OZ5Px5pzdY7vhehCBR1PxDFA/PEIlcvi+QJBmeZAYfRIFFoMDlfpFCjrM4UTx7vSAIJWR0lAs+xJnYxBwg5MIUhDkec0bHRAkRZy1pLjGkGeVISpEKYusqySmxSMlAFTBFOByzgy6lMG/rzD2Yd6IoDAthiWQo2ZKosRqKq1GVRVdy5HOaiLGjFFEKJEm2u1GFNExMKdF3E9oOlFhwyqBiBB9RpicNPdgKjEP5mslXhL7BKgVtS7tu8asGv24po+jTmzZSXQbWYeSr7pYw9pRqdvlzFj1GfLS8+snPRIUyRH79m7/jGA1XnzR88/Y9d3dvWF9esYqGlGG/3zN2A6ErkC06tUy96Asc94G+K6QoMLxWUiLwlaNdNSijxEOiO2K8x1U1KQu0jJLaLpq5aa0IoVcZlJYuEaWl1BSTyHeb7GRxXJCkIpwZrUTjX6tHZGuBlq0V9cApZqYQRF0QjbEe51qaxlPXDW2zYpoyxsL2oubzLy+5urnGWkvIgYxjiBo9JqYAt3cwhE46MFLEeQk6fFXhqwptaypfU1cr1tsrtK15+eIVb16/5e37b4gpsj8OhHFis17x8uaaFzct3gTevY5oVZjGxDF3c0v12ZU674Pd/QOrrWFdb6hrRyyK4yidP6VohmEiJOFa+JWi0YaQMpRI1/c0jdibV01DDgoVDbaucI0s2iFMHLojpioom0mpIkUltzARjSGFiaQmkg6oNKHQWAXaWZzR9ENDyZk7I8qVsnALAVVrg0kalaUEJ4JHhZPJ3GkuKo+0qmUuXMoCZdFYkYt3IWx/4KR4Rpha0MpTaeGs3fF8ETrnSxmrcN+brf+48cMLtKw+Twl6H5v/n0MunkOGn77f0+14SgT8Y4KIH7Nw/yEowh8SDDw3/uQAIYbEqIM4nxmLq92MY2mmILK8Kpe59UkJbBkT3W5PGjvScCTsbylhwCqRmXXWUFmNNYrKqEfJ3vkLL5HtEpnChwHDOYnmOcLGx27yWgs8TpAs3QWn55y358jzJFJePkfg8yVz/jDkYN5WCF1PCtPZez1eWFOUBT7EKAv63GmQiyziZSYmSa+ykLkWoRRtDFPMDMPE3d0dZMXl6hI1h1kLepCK1KtzLkSlSUpMbQ5DgDGSj50EDxnJgkqRzKUoTNWw6wYOozCwNdId4bRGK9E5yEl092MoxFjo+yCZaVas2i11XXN1ec2nn37CJ5+85Or6gvW64dPPXuC9mF19/e2vub19y7/86u95eLjl2O0EatdgJ7D9NLtnWoyFwoQuO0IXaNcJbR3KVRRlUcbSXlyjS8DkyHAL8VgThwvcocHtB1xVS0bmW1F6bODz//E/kcKRFAxlMOTBUCuN2mRK+4r97sBxf2AT9kzDA//vv/sHPnm14pef/0eU2zOmQDwMOCtcgu9+e8/+LnL39kBtCq13/M1f/QeihkMJGGspwO7QkYi8uf2O9UUNFv7uv/6WkJMIIilL1w98/e23hEmMbnytsRrImWbluVhX9MeDEAGNom4bKufYvRvISVxIy8xBGKbINCWOx4mry0YWyhApqRDGQNcNpJQ59tJuV1QRy+6s2B+O3O8OhJDRzpFKoVl5irEcRhjePpza7ly74ae/bAg5MIVAfdHRjT3DNPJPv9kTkprNwBTOKdrmdzRNxdXVhfBpUOx7kXn+yc//hqoSLsz+8DVD33H77i0//+mXfP7pJ/yT+jtSCJQUMUbaqSvv6bvI4RgkPtcyCfZv73n97sD6+gWuaVltr6nqFmsd79/fEZIog/a6cCgBVCSlkePhjpgi21VL3a4oAcZDodlsuUgV9XpD3w0chwE3aJQtjLHBJEVdLHGeAwZzoESFzg5fO7RNhNCDksbAxhpK7bm8WNEPI/00EadB2l+tRykxTkopQs6ohROh1RzcnZcWkPLmzBnSyqCUQeod85w1tzisNuuZq7JEFhJ6OOfw3j9yuOb7ZRKVFNGemJALxKxmvxGF9154HPOQRCd+DwGGD1v1fuw4C49OwcHTAOD3JZjnt6eJ6Xmpu67rU1K2oCrLc5fnPJ3j/6Dv8uS157dztPn8tqx3elaxXLZnWROd8z/qs/8MCIJUlhcRnpLzyUVLz6fN0ouvMnNrUyCHkTQNxGkgpwBJov1TD4Q6URM/+LSPHdSPoQTL+BjM8rQ0IRIE5YR+LNn9Bwdmef4pY85nMUD5PnrwzIhJOAbzx8hnl3Ja/GPOkp3m798WtEEMk8QRsyyGFloRpsAU4qm/pB8nTmWfuSYooc5MbtKPhcklgFhIS0YZco4nxEN8NCAxE5i0lufnwhSCdCcULQuttTSNRylLwWGMRxvPdnNFXTdcXlxzdX3J5dUlm+1a+te3G6wFbQrbGKBqOaSEfv8a/XDLfr8jhwO7ccAXgy2GynlM0sQhk9KAHxKlKJH/rSLaOIHI65oSg+jcl0T0ArX7EMSqOYNxnozIGyutMHWDcooyKaxx4Cwr5XEtaJcwdYOpG/q4pz869g89tnboShPSUUx3UqRSGpWgH6AfYRgy1guabExFUokUBshy1cQc5fooBaUNxkIuS/konjTyxzGIEp+X/veUCynBOGX6MVFmi2/mLC/mTCwSXBvniDlCThLoUkipMIaE1oJSpZSYggIVWZxPF1LagkoMo6gHhphZVTWuMjRtS8zw/q5jta6oas+mXVN7h3GGYRoYwwjuHg6G3GmGmEgx040Rl0XxcYqBYbaWVshkm8pB8McMhIJShXEIlBIwqmC0oapr1ps1YRiI40jTerwTjkaME2bMxDGRE5QAkUwqgRAS2he0ElXBOPuQpFxQypJzJsTMOEFKkXGKdP0gplGthWzISoMBZaU0moGQE+F0XQsymGb5dKWjWKHrSLaBnBIqJUqM0pqoBE1wRlM7R05zaVHNFstC8+FEAhTGqZTsPuBhnYEAWbgGBeEgKJ5HZJfF5enc+tR/4XycnveE63Ca0Z/M1U+z3Ocy+n8rSP/p+nC+LU+Tz6fdZstzP/Y9f+xnP/39/L0+lug+N873+19Matlaj3PVKU+OYUQpg9ZyMc6+OxIYpEgeDqQwUkYhJpYwoFJA7IsTi7myTEaKhLTwPMcpeI58uIzn6i1PA4Tz+56+5vyx33c7J9v82BMgzpGfvAZAPSobzsZMQkjLHwYMKQuMXApFWxKJBOwP3Uknfbl469WWFDOv39ydUBXnHdoajHMoMx+c2asd/die1G42FKWJKTOlSMwi1pJypsSzbShy2BSZOO6xJbFabanrlu3FFa9efclmc8nnX/yC7eUNF1c3bLc3OFfhq5Z+GhmmUYxhUuD90KMNaKvYfPIL1p/9nE//5n/izZtveH/7ln/+539k/+Zrvv6HBzabFa2paLWjxEg89pRwjy6Z682Btq252K6pqwrnHKHIQpPQFFehrKe62FGvtrTbS+qLa4yvUb6eTaegurboeiWQMQ2q1Ki0oUTL1CsO+wPHw5HtyzVDd8/h4SVj/4Z+uiOPkKbE1PV4FCrCviuECM6B9RrjhFvx0B/47btvcZUI4YQ0SfZoLKv1JUoVvANrJNje7w8cDj1hymxWns3Gc3/XEYN0DozDyN3dyJefgXES+B3HgdIP5Kzx1lOv6jnoCPPJKwHy7jDQdVBXME1wPE5cXEBVQV1Xwnkwln6QNsSQjyjj0NbTrFYY5whF8btv3vObr7/mF3/1GS9etfzy859zcXnBZrvm0B859ke++u5r/P0d1X6PWx04HAaO4w7tQVkYAoQ+EXM3Xy+Kdh9RSgKEtm4xWnE8HHGusGqtoJZa8fLVp0xDx3g88PLFNd5bxqFHuyPKat686QhTIhTAKJQ1hJjRIVOKYuwnUh+JM+PPe03JkXFMoDM5BaaQ2B2ODONAmAreNFRqI6UFYMqZKSdCyYScZn2RgAsQgkJbWTSDGTDKE00g6kBRhjIMggQYg9eANawqL9RvrYmSdpGUIRYpw2rnQGvyPGdqNWs2LPPmfKAX34VS1OPznoyn8+pTOP0PHr8nuXsu0/+juAlq+e+Ph9Z/7FhUJhcZ6hDC6bFF2ffp84EfvUCfj+dKJE/RiuVzl8f+mM85H396F4OxWOcfSXQxz31sGavdLOMZSWkijgOx35OmCWJPCdKKNueyGDW3ygF56dspM6/2Gf7B7wsQzvtxf98ivzwnhjRDb3OZgSK1uTM0YUEWFpQhpXQGIJRls0//Pf7+OFII5FmSVB7WJ3apnGzSmTDFx0AhRjkBY5JOhhCXbAS0dRilMWXJ/Aqh6yWTblvmHUdUM6YcIpmIELFkwU8lC99AKTFK0nMmbSSguNhsMdbhfEVVVVgnTodLQLIqA5WGi+0VdbOiWa2pqg3WVvh6i60alHMcppEyBeL+INttLappsNTUuSblSCmJY5r5DdrhNjdcuoZf+BXxp39F+Plf8+7Na3YPd/zmzTeolKiUZe03VFYxFmDMsDuS24SzhuN+h7EWX9VU6w3GN+j+QMyJ4zQwdEe086euB+MdsSqoymC0xZqC1QrvLFhP7RzKGXxboW1gGrYMx5owXpHCjnF/xdA9sLv9DjVF0hhZbR+IvpAqhcfijWdKULSjXW0xldjxljETYqQfOpRRhKDo+0JTR0Ea0sSqsvwf//N/ZL2uWLWevj9gjebFi8tZkXRkHG6ZhpGH+4MQExM8HEdCCui+o5DR3hEmmdiUFpKktdC0Nb4u+DpRVVosmGeUC5XRVtoAQxY9hjgGtiHQOM/lixf0STNkTdWsycXw9v09h2GkenggFVkop6jQpqZqYGUckQNF79DWYp0mJZE0DplZgAtSGuUcD5mwUdS1Y7OpqWvDZt3QNA1VVWOvDN3ekUKiWV3gvSNEsF7ha0NiZEqCnui5syYdB2LWbC4jRWWyUhjtgCyopykkrZjCbMOuNGMQHpC3AVU3rDcr7BiwA5iqgkm8IUIuhCQOtSaAm8TRsaAIJmJ0YDITVg9oVcg9GOewTqB8UzKVUWRnKDimAgkFRZ/KoM7PbZNLSWD+qebrfxFHepwyC1pblPowATsfz933h+j5P3mz7911DuGfBwl/fEDyrx8YLONEJp8DhHg+p5fygQ32ct9z44fQgmUsa91C/nz6/Oe6+/6Y8sz5+NN1EGZznBl5pGSxZ0WBGPcWcknkNJEnIY2lMKLSiEoRlSOKuQVGzX3z84UpX16KFOeR0A8FBufjHA14rkXxufuWA3weOHyMu7A87wP3snk8h1CcjxQSJS9dDCJ8ukBUi9BMTEnsleeJJaTEFOMs2ZuZ4rxdFIoWNECbTCrSkZBSAKWxVTN7L8wISX6UWi4FkWIF0EYCOq3JMwpknMNVHuscq82Gqq5p1xs26zVVVbHaSDeAc44LHWis4vLiBl83uLohJU3OiiFALoaEZogS5ByHQNuuaOxKJkGtsMpRwkSMgTEHKIgXZbWm8Q2v2i0qRswXf0X8//0Xjvm37L55j4qKlYXaOLxVjLmnhAx5wmlNtpqhP+K9p7QB5+TUL4Mjholp6FF9j3aeajXgqxpf18StBxzOOIpLYDNuVng0zkoN2xtQ18RQM/WGElfkeKC7dxz3d5QC8dgTzUi9CiRbKF5BsOhiGVOhKEPdrlAWMokp9uSYCWkiBEMIihyFoKZKxKqCqz2//MUXrFc1q1VFTHuaxvHLX3zG2B/pj0d+9xvDw8OBKYjZUgqFVMS2Ww8D3hmMNaQxPJaetXw/66x8jp+5OUWcPxcJcm0dSmnGuQ1zmCJjjHhgvV6z7gPbbkIbR4iF93cP2GOH9RbjpJQSciZjhOyIwrowt+NplHYUpFwUsyLPHiLiPpoJY8T6GmMNzZVn1Xo2mzXee6x1VF4EuLStcFWL9x50j7JgnCIVQxDDSExWmKIIw0TBSMCkxbrcelnEc0ySsaMoIc2UUEWImVjk+3tfsN5jHGgbUU4sNKUkt5QEIyEppmiwMYo+ydzaHKPYrGulyCPCEQAwFlUKVoPTimhmpdoCOWsymZzBWoM2how+zZ3nWabiw6xcqbkDQX8oyft0PL3vjwsQZF0o5XnU4L+VLoHzUUohhPBB/X8ZTwmc5+jIc2jJcv9znwE/XJp5GhQsiMK5Adfv+5znxp8cIBTMTCIU6WBvDSL/rTBpQuVM6g/EviN2e3J/oMSALvHUxWDmCUHjWfQXzzNvaeN6nmNwvoPOv/R5m83y9/L857gI8hh/lgDhx9SGQphIOZ0Rac5KDDMyMEUhKkp3QiFM4q5YlHRDxCR1/zFMTCFKfRgtxi3eYZVAkGOGkANhrluXIitB07Y0bcsXX/yEi8sLPvv8c7YXl7Jor1cihnJiPM+KbOpRWEUp0XpfGM62u8fkiG1atK1Aewl0KEwlkUqRkoi2oBWV9RSrGEok9aNMaEoWJ6VkQk0xMXXDab9VlScrx1gqfvI//d/42X/6v/Kf/y//dx5u3/Dtr/+Bu+9+w5v9PXXRrLxFV45hPj/bzRWUxDhFxjdv5btYh6tqXLNitbnAVw26RJg8eazYu4bkLUYfsfaAtQ2VP2JMhbPtTPDSKJtwxuL9Bk0F5ZLVqmG1f0CZFcNux3g40neeOERinzg+9HRDYPf+Le12xfWrT9jt3zMMA+/vDziXWW8VVxctCoMic7HZ8OLqBSU6OSaxo/UVLy4bqqbCeYXWI02rqeqWKb3i6uULfvKzX/L+/Z6H+wNj+IrDfuD9Xcd2C7Uv3B6YW1Gh8eBs4dAdqWvNZmXEzwMYpiACW0rR2gplDNlkks4E4KHrCUozonh7e8+bt7cc+54pZYaisFpspi+vG3zlqVYtKUdijnTDIOf3zGfIJdKNGaM0ba3Q2oh2Qj8QYmaKoG1N3ayofMLPxLmcYYoJbx0JQ1KWPioicJgU46gYRsXtHo694uLSgnUo65iGntSP3L57h6sq0RUoWUiWwBigz4Wce5ROWJ9IYaLkQFFHUDUX28iun3joBg7jxBATxTii1gRgnLuFbJiwVuY2ZxNaCYqgmTAZynGCEFAxoJwTzkFMkCXxsmq+9rQWhrGGygkht5S5++hs7gNJwjQzN0HOoDmI+RCKXhCH099Pyw1PHv9xQ8gST1/2NEh4buH89zqe8g/O1SGX8ZTY+MeOc7LjcwHUUtJwzp1I+kv7+x87/uQAIRdFyswHXmGNQYzDMsRAjkG8FaZu5htM6ByRXFIyFrNYkfKol8DZoo3SM4v2w/FcFPaH8AmeBg3yfRbyIWckxPPXiXhLOT1PSIrnQQZnpYj8wWseD1Q4s06dX3J6nxilpDDFdEITQsqzHPIikSzPCykTM7Py4Yy4LJxJK22JQ0qgNabyXKxWWGtpVis22w2r9ZrPPvuczWbLi5cvaddr6rrGVdVp26S7HiE4nr7BHMWqR0DP1ytsSRRliRliiIQsks1ZKbKa2x5Jsr0KlBLuQ5rbL0sBq2ajGSUZzlLSUQi5imJQtkY5jdHQXooQVI4B7wz97j1x/xZdAiMBFSJjkg4MccZM8j6AtknqtwWsMZSc8M5QYkWJE/GoSJOjGCgWis0QNMaMZBdZ7KX1/F00QirUWlG1W8BwMUUav2Zqe3JwIr/bJ3y9Y+xGpn6ibmtsVTPdJ47DxO6Quby0bLc1L19cYa3DG0/lNjTeUaKjZIhxQuVAjgNhDKSYCFE8IWQHZqw3+Kql7hPDlLm4vgS9Z3foSaWIiZGTmr/TGuZSU6bMSJWixNmls5RHBc4UpYOFAtbiaiHljTHS396y2+8ZhpFxmAg5M+XZ6Vgrhl5JWVIr8SfIiXESIygKpCgZ8RSKiFqVmXSHaDGkPLc+z1mS956qcjI5WhGEkv5/gzKeMcj2HvtA1090x4FuzIwBMpaCpWDQ2sEchIjuSMIopJxWVdKyOwfnuhQMelYI1XP5INKPE9040I0j/TgxJSHzFq3ISso0qTySjE1euoryTFzMoCM6KUgRkn0kEueMKmKQZ2Y2d1FaHHPzI0qAkrJJmfdRma9YPZdrtXqUv0eL6+PT8UMchD9unD5R5o4fiRT8UUjFX3A8FwA8ve85BOFjZYXfV4Z4iiQ8JR+euxp/LNj6iyEIMStizKJIqjSVN+iSMDkzTj1x7Bj2t6RpIE89JgZUyTPbWJ2+zONJsPg3zIsmnBzAnhvnO/x8nLd7PD0oH+tiKHPE/dxrPlaSKKWcBI6ee+yc2Xq+jeM0zQjHo5vFsr0hSYAQYhI0YSYoisNiYggCscY013WMRlmNKrIox7mMYIFYCrtxZL1es9ls+MUvfsHV1RU/+cnPuLq+liBhtZrlWfUpIJJ2HVhgweXiVmWhkfK9fbjaXuOU4nA4iONfGMEYQYCsk2CjFNFqKJmUoVJi953//+z92ZMkWZbmh/3upouZ+R4eEblXVlfVVG8z001ySBAggRfwfyaFLxQKXgYjFApkCGCm0V1VXVWZGZtvtuhyNz6cq2rmHh6RkUvXAsFN8TQLNTU1Xe5yzne+850wEosBlbLBZFuyWRTJKFIsM7P3KGuoFyvGXgoZVRhW5094/tFzxu3PGLa3/PN/+h+4u3rJ9YvfcjuIYbp0YHXG6YzT4k25lCU2HETuu+oqcuipqpqqbvBKkaqGZEayG8i2IrkBbR3eNWhboa0rSpIi9kRtcNrSHl3QtCcsFqcQE9kHnly+Joye2Adurq7otjt2my3RB/wwctf3vL5e8/WLzNHxgk8/e8rPfvITFs2C7W3P9s6zufX4ThZRnxJ53LC7HejDNTEPZD2grcU4S9OcY+0SW9VUiwVtUHz8k5rF1RXr3S1DF/Bd5OgEKqdpK8f61jMOkmWRVWbbB7pe9CwWKxkjEQhDD9oTlcM1LYvTJWjLbhz5zT//jrGL+E6MbQ0sNBirsE7kt2MI7LbbgpzFouEhfcCP0ue7AZKDozK/KBQxSIpuQBY/ayxHqxVtW7FYLFgsWqqqZvQZbIWpl9x1kqHw4nrHer3h7m7NzVY4OCE7dLYYLHVjyDmy3ewYhwHnDGnshfC6aEjZSLgjdzIzaY2yNbmEK3aj53p9x/Vdx83dlpvNlhwzy7Yla0PSGp8SJiqqJM9Pl7kqaIlhe+WFIBtBJY1KAWKpPRMTOgs3xypV0sctGkWYFsacySqhlJEqqgchhclAmMMNGQmlPDAQPsQ4+O5efjFa8/6Y73Ly/lxCDNOi/PBeTFD/9PeQh/CQR/BDfn9qh5WNHyNIfp/2gw2EmCQ+qPXe8xet84Fxt8F3G8btHSqJAIgji2aCmga8lHwGQJm5oEectPsLy149gEneZRhMbRLyeNdC/5iBALIGPTz+Y9kQh8bCoSEy7XOYi/rYMcZR4rZMtExVSjHnjC8iR754g7Gkk6WcSVpL6KGkXhnnsMqQEDnTMSasdbiq4uL8nPZoxd998jFN21DXNefn57TtgtOTM+q2wdQVQZXnlkS3IqcsRosqkleqpFKV4A/zdeRZsjOTGaMgBWPW+GxISs5PGwPGkHKU6k8poUzGWoi5o+t7nHPU2mC0IQbhrITRFzgVGmOxlcUayxACVzdf0zY1y9birIUY6IedKHU6x8d/8QvOnj3n7Pkzrl5+Rbe5ZX3zGp0DNiVczhgNVQSXMzYFPAPOB3xMOGclf9xbdNXgqppc1+SqQrUj2VqSq1DGgTGMrkIVQqftBOJbLpYC6apaqj42ilU25BhF8fFoydB3DF1Hv96xfn3Hydk5Y/Dc3b3m4knL848uOTqqcUYzbjN+2HD75pqxE6TIKM2wG3nDyG23wzh49okVvsJgqNpTxui5evWSvkuMHo6OVmSVuXj2hG++uqEbev72519KYaOjI37/26/Yrjd89Pycoe+5enNFfNPR9YFQjPaYoKotyjqykjh7Voree7phZN0lbFQ0lZ6rDcaU5zoNPoxgFNoptAVloHIivt2lSJaEJloDq7bi6ZMn2MKDCGNg24+EbsR3Hf3OULkl1gipcbuTqpbXt1u63rPdjWy7kX7wXN9IpsR63aMqizWazieGMKC6nrOTFc5W6Aq0TuicGHZrdBwZFzXYY6xdoPQSYxNto4nJkqKIR41j5G7b0Y2eMWT6UErVWUtUYrCPKaMTjEGqpiotSKBSEasDCk8mU0cjJbFTRJd5QyOJYRlRMU8ykRZkDrwPJKXI2hRgwBQSopoNLF3G8AQr5JnMWKbhD+AgvGvb+5uCrKfg8VuGwLsMhu9jLPyhAhRKicz8xDWY2uFi/TDVcT7Hb/HsH+MnPOQdPGYETOvNjxGq+RFCDMweP8gEkGOAcSD0Hb7viGMvE3MOGCtMWgG4kmDUSoLPWQlULrnDuixSpUxwetvieh9MM8WDvmuIQUg95VomVCE/5CDst02/9RaqcGAgvG0kUBb/wKQW8W4DIcwkRYGMdYEmMzFPhbLU7JEnNNbVtMslF5dPOX1ywRd/85dY57DW0jSNvNatwPhaIzJPeVZozClJ9kIxErRS82/PRuB0z3KeQyS+hDZ8VkSE6Gi0xDeV0SXfPomBSBaFwOAJIVDXK5wVcZUxeiG1+gGVFc5W1EY8XKMLWaxf4xpFaw3WaXxODGGEnFHGcvLkKe3REfVqQdQadbNgO4yEMBLTiE8enRI+J5zOVDmDFvQl5YwZxDur80qIc81Y/mp0DigrxXYwlmwMytaClpgKbSuMcWhdYY3FWUddN2hrqY8ypCQTvtM0Y08YBzb1hthnjo5PGcae49MbTs8aTk+PqWtbRkMk+I7d+oaxh5wUzlSMYcMQttzsAlWjuXi2LGlvGmPF2N52O7w3pGRwTU2dAoujFZgNEc2TZ095cnHK5ekp3g/cNZqPP3nOZr1hGDvuNp4xSoZSLiiSshbj3DxmQ84CsY+ewSe00lgjBDpZi3KR7c6CFBTOg1W6cBOMaBvk/V9toK0tx0er2UBY395J2mY3Ev3I2PfkvCClyDhmQtwSk+LlqxspVz5Gbtcd/eDZbAd2W8966zk7XWAqy5iSGG0pcHqsUMrIpJ8l/TqMPWOOjN2O3C5AK5yrMDZjraLEWImxJ6dA1w/4gBQPS1MFW0VSWdIfU8ZGShGnhNHTq5CSFUEM8gDZRpFkt0l0IMiluo0qIQOZB8pERghZQisGMQXmdMfyV76X46SamA94Rg/A+cNtjxkI714WHm9ZPXqct3Z7BEH4LkbCH5K/8BBBmBbsx2oFva99lxDDoYHwMLMP9pyTPwkDAW1ksOQAOdDvdoR+zbi+xq+vSeMO7TuMkoFgMZhCZc2lYmCKmYQmKEdSptT3EYJc0ooq5nsIwj3OwCOL/LT9uxoIAvPvf0OMhA8nKcpfyRCYiSvx3r+n/YYSCoC9URLLZyEUAyFKSEFik3lGV6qmxdZS6nX0gfVOyF3GGE4vnvCTL77gJ19+yd/+639DvWy5yeMMM5oivBIKOiCyx8zkw0nXX2RXZbJE67lq3f17kgjs5UXvdqMUh6Lsa7UUZkqZnD2ZCCpjKyUiRAZS1MSgIO3wQ2YYg6jfhUhrayrrWNZC0CONDLue1mj+8tMVfd8x7tZ0RRTKaU12Umhq7T1oS3X6lL+4fA4kdusbbq/e8Oqbr/jqN/8L27sb/OaWhTMcNQ7VNCSji36+J/mR5c3XVNpRLxuqtsa2NW5ZoZ2BykFVgauw7RJlK3S9oFmcYmxF14+gIhDw2VLXioyRmgdWY21Ex4qlUdTtChcbbJXYbp7xyScNn3x0wtn5irBb03U969trus01Y39HGBRDl3n5TaBZJBarzNECqjYy9muBm63jiy8/x9gVdbPh6rpnsxlZ73ZsNxs2/Y6kIqaSSpHOOUJOmMrh2kYWHqNpFgs++tThfaQfegYf2Y2Bk/NTtK14dX1H1+3Y3dzQe1ns6iXYMZFHEU7TGqraSCjMGIyzEo5xovaHkddeeazqMBqyhqbRHC8sx8sGqytUVoQnF7TVmtwP6DCyW3v+8/90BToTkmIIMHrF6zdStyQq8FH6rbIKH0SjgGqBrhw5jOJ1A93gQWXOjmopShQyqc/EvufqxVfERSQ3kdOzBS5D1wV87Bl9z5urG4yuWC0tlTmmaVuMEUjdZ1BB9EaGQZBDbYKoWeZMZQdSMqToqIzBe4NWkaZtiN5TJVDWlnBkqbI6jkQUPQNDFC6JLyJfxtWoWlAD40RC2xk7Iwfx3ry297gPlxN1sO2xJe676xOomSdxaAQcogaPedp/ym0KJTx0Fqc2rQ+Hi/fDtepD2sP16vD3H+5zaEA83Oe7th+e5qhKDCwlVFIM44jvB/puRx4HCB4zd+miqDgZCJSCKIiKW0AXeEyRdPE5Suj54UJ/+P6xUMHhDX2472NcAvk3cwz0oRHyoQbCtO+07WElrRlhKIt+ObuZeCifHf6l+X0uiVW5aOUPXgyJlDJnZ+csj1Z8+dOf8cknH/Pxxx+zaFu0q2isKajHHgGJ5cYqplLNRce9xCZ98YoUCVWekX5w3SlNaIogD1rbgiblQkQU8iE6i/iRASNawOQsVSsVCWMQ1ClntApSwlYZalOkg2PhQ6QsBFetsClj80jKUpY4K002wlQni9iUMLUElNXGUq1OWWKIyhCzGAzbq5eoMJLTyHYMDD5jlVQc1RliPxAEDxEEJHpSFv0D1VToVKNSkPLXxkhIwWgpwBMzKQdC8BjniGS0iiQrsHo2YkjZytCsFuhzg3MjfVfj3B0XZzV1XRE7EGJlIKcAOTL2MPalNHPRNzg7qmhWmuVSM6ZMUIbdbktMgZevrri+GVhvRprasNlseXO1ZQweYzP90LPeKoZ+Rz/0xBRZbzekEKnqGusqUs60Y0s3Bkw/UtU1ERnz/eDpei/IRcozH01BKUuscbUT1MpoqScMQlTMgoZkBTFErBJSfsqCqgUvjoc1UgbZaI2zlkVTy6JCYrv1oGTh60bJNth1lIwL4UxQwpoylmD0EaU0jauonMUoqWQRo1S/VGlSeC19ygfGfiTlnnTSkpIqmiOp6JYEKBLHTbtANY7FckEoGUZRC3oUUsJEChk5zn9aRYwKqCzKpX3Xyz00BlXV6JxJypRCaYXkmGGImT4khpjItkKZDNqW+aaAf0qMcpXUDPErCimbxxedw4Xm4YKmD9RXP7hNlkbmUePg4e//ubTHkIJ3rRePLeAf2h5DEB7b5/BevouH8KEGyg8XStIa5yp0SKTk6Xcdw2ZDd3eL8R02e7TLGJWxCgxJiG7zwqIIORHRBMrEoCGbktqowKZ3GwWPGQxw/0G86ztvP7y3dRC+7Tvi8Yd7v/uwxOb0/vC7PokA1PxbCAlsMh4m+HEyEkIqAkgpFRZ1YrPrMMbiqpq/+PnP+ezzL/gv/6v/iuVySdu2vHjxgmEcWJ6dzZPYUAoShbg/Z2sqqWmgFMZaQNH1IzlntM4isqh1SaO8b6nGuH/fNEcYbfF+ZAxSOneMPahM21rqylHVjhgHQkx02y21s9TOFNnpjLbIftqiE+SYCf1OYNyccaZCx0ja3OGUwmhFbZx4ichknXKWSTcj8LqX6oBHRyuWT1acPH3Ox198zthtePXPv+L61de8+fp3XF29IPqeRkNbOxZ1ReykeNgYRtLQE2sLg0FVBr2osHGBzS31aonRNZWzVM5hnaPfJcYxsOsGIlCPI65CQgaV6OdrozGNo9ELGleTwoow3vHkCVRmpHUj41ozKsS4zgKF79Yw9FBXZaKP8Pz5EUenFe7Ish0D3Zj47W9/y+068D/8x99zt/b0febp5RmbzcA//uqa4yUcLw3XN9es1zf4vpciQQp26zvapuXs9BRjC5dEG7rBc7PeMaTErhu426zphkTvmZVTJ9NcK3mezlnqRYM2MqaHKKmN49CLZkfOTBVNKotkPEQYuswm97x++YLKNRjjaKqGylqOjpb40RNjYLMZmOCwbS8Ggo97A2GqOp+SiAtlpdhsdoS65vijZ6xax7Kx3L35Bj+O9F1ApRGVR5wGlCb6RJ9GRr/lSTwlZyVjNET5i1KQyFY1p2dnVHbFxZMnEqbpe5FPJuKDR2sYg1RXNdrgg0dljyGQ1IhHEYa7ubga1mJcRTYVUQkhcQDGmNkOka0P9CFSLY+xTgwEV1C+CQbXSkIOKk9mPPN4/oM0pUpI9F0fP14Q6U+5vW+Rf+iQHq5J34dA+Nj9eJ9RMrUfIpb0gw2Ep/4b3Jtv2K5vGLsd/vYGFUcWeaCuFVZVVHaa3BI++gJfwwRcGSXEGaMSWYmyYs6hxKyMpHGVgkg55xmKzwUmm2oYTFUEJ09875VTFmkh1cXi+XJwDhnhFYx9z9SFZ/hNCjTsvXA4+L4w4HM6+LwUQSqFK8XTyHr/4HImG0dWit1uVxb+LJ4VAoGKxkEWyVVjUc7ivacbBo6OTzlervibTz/n4skTLi+fcfnsKU27oFOGvh9gGMlVAxqGrp89fskgocgsT4Mxo7Lo4KcodRu0iuXWJHKOSB8/MGjy/rtayzbv13i0CEDlhDVprv+ukyINmTFM6o0Wl48gKEJU5FQxIylR0SspIZ1zJikLRu6vVpL+qHWzD1VnKQKVgFAEoayeRLpKvDYrdC/ZEyFGYsikWHN09hPaxXOePP0lN1ev2W03vHrxDa+3W7o3G36u1iy0rDTaa1TS2Gwx3lJlEQWqUmKwV8RuS+w2DHcv0bYiJBGsMWjSrsX7ClU3MDjUKAI/Wht8n7HG45qRlDpS4xlcQ5cSN2lgG1uGVrFWjrS6YPn0S/StZuwi6+tbhu6OXb/mzqzQpuXpcsXRaY3Vjt//8w3DNx03/3nLsm05q2uub7Z0fqRZwhDh1W3i//3//T1nxw0//eRI+geZYUy82d3xqxdXfPbZJ5ycHrNqW46Ojjn96DmbXcfgA+fPn3J7t+HN1Q3/9Otv8D7wk88uqONIFQZ+/1VZcK0v2XoKZywWUMky+Iz3kaO6JefMMIwcaYNyGuukRHDjA3m8AzIhG0iJJgYaEhgIxwsmrvPuTY/Kic+eLej7wN1mkJRaDc4lYhTjIQZP9gnfvWZAynknlUFpNkPGmhZrluiqkhBbA3Ho6P0tN3cNi9hycrIihMAwZDQnLJszPn72BcerE1TWLBZaCpaNIypHckjErFG6ptErbHToYNGhQmNQJnN05Kicw9l6JhznrEkR0OJxW61olMIZhbWONsMQE//TP/4TPmaao1OOTs9ZHJ9wqWuahWPZLmU8Ks1oPSFG/BggDagh4pzFlKyQwxS5vUOwR2QNQiie6Ek5Z1KUtNBDh8kYjTGSm5+yYpjQpWkOVYfBjbxPcshSYyMzLYJ5noPvz89vw+45Syn56XcmJoWa3yHGyr1Py+/sT0B+y+TZoJmPo8q/1DTv+Xnxnxb+Q2RkyliY7uXhfT0858P2tjFwyMt4uO/+/k3t0G45fG77jR+mjfCDDYRFWJPDQLx9zbjbEXc7jMpSOc047AQTF7GaUBaIwzZxZJSafeoCjSnIei5sMnfWAwNhgiiF4Ce3KE4eeRaxnUkzIKW0j+cjC8t805Ui54Qv1dWgPKTMfL6zdQYHxEwhHKaUIasZ1juE8wUZOPgrXGLJnZYMhVDSl5SSkrohFmazFYq31oZsMtkkFkennF1c8Be//Euef/QxH3/yKVUtEPDt3VrKP6dI0yyk6I7v9tdT7rfRggHLNvlL8QCaumeZptkgethxZTcZ2DEM956t0TKRzMcpFR7LGchnae9tTseOB4Mn5wzKCCx60G0KF/stlIjyaorRYpBnqDKomEkhSfGdmAFDVZ/QNGfoE3DtBev1mtvesQ5v2G413nUEFYk5ikhNBKciJkWSUSWNUzFuN8RxIPheFAatRZkKjEW7htgPECp0XpJDRY4B62qMtoQxYRqNqTzZjGQTSbYiBI8PhjG2hMpBXlAtNEenhsXOMu48+etv4MYRbzODrfG6xtYrjlbHLOuW17/doj2EdcBpaJ3hxbDD50DdKvodDAO8eb0hK/gLd1EmvoSnZ9uPXF3dsjw5Q1ctzUrEqlZHRyhnaUPk7OKc5dUVWiVevLhmtIbnl2e43GH8hq++GUvtkTj3LeusjBelCUkRA6I/kSh6FhprDU3lhI0fAyEOpBSJUUZfpUQWGq3palMKGym0HdEpc3JcYW1mGJGMHC2Ii/dlXCNhtjBuGVVEZ9EdySkzpiRoEBVWL7DGCInSD4TU0/U7jNXkfCzcgWSxdkFTH3F6fE7takIIwmM1CUVgEihJKFRyWLVAZ41KBp0tGiER1s7QNIK6iKaGLvMnsnAiERqnS2aCNRilsSkThp5u9ASlScbiUVTLM7yy6DZjtcFoR3CWoBIheYyXirsqmxLCcfvU8zLfqlyUIycPGINRdi+foDIxlWuM+7EoqaAKwySodjDW7y0Ds9oK0/qbczpYuMs8lQ+du4Oxf/C+zEj30uP35sCBufAWEfL+OX5IS2Vtmn77Ycrjw7DAfL7vQEfeZzTsT/chunJ4vLw3YMq/v9MFPWg/2EAYhp4cRmKQBVwrJYImam+xTV71IfP/ftsTZSYZV5QiF+ty0jSYYe2DxTeUSnT3DYRiuU0ljfNE/MsFto/FyDhIP5nO86DYRj5QAZpDCHNH3N/0oR85LAl93zg4rOMgxL+ckEVAqSJyJMftdjtCiAzeiwCMdaioyDHRb7ecnJ7zyWdf8Mu/+msunz3jL372C1Gyy4nb9R05I2VUy2n3/UgmCuTI/et4+P7htofpR9NnDyGth/v+qTalpMRsUJ5YRKqm8E9V9O4vLi44Pz/n8vKSYRgY+h7/D/8vxvUr1ndrun5HN3TQDVhnWMZEGzN1SKyHgNKKrDPNckVdN5iqlpoC1YCxNdo47K4TYSVb41xdQkQVyjnUXU1VR6xLLI+OWDVL6vocfaFRWRN7SxoNcXDEzjB2Iy9//3u6zRX95orrV/+IqjJHT5YcrxYctUv+zb/7K548f8WrN2+4ftXz8m6DfbpiZRyalnQ8SW9HPv34kn/7b/81JFEH/Kd//AfCmNiub/n3//43OPcV/+7fPef07JSLiye0iwUqw4tvvubN1TUvX7/mr//Vp6xWRzx9/pQ8rom7G776/X/m7i5Qt+CsxRpHXS+KEzMwjFIQ6Wa9nb03SfYXGWalFMpaKqeY2EooCX8Zo4hK8fJ2TdW0nJ4es1rsqGzEKFF2XS0U7XKFMYYYI7d3I0M/UDlQOrO+G1lnD3kjVT0L8leVktNPn56zWi65vLigHmpccAU1GNjtdiilaNuWs+MzLs4vOD09LSEH8abHwdN1I5URz18dTLui42BYLBaiBFmEnqbaCLN1O71nUk3JJaIinCRFxhnDf/t/+2/pxsCvv3rBi9fX/O43v+VXv/k9Tbvi4vmnPLl8zvHJGavjU7QxNHVF0ygse89/GPyMDFhr75UMBvGI9xC5LvUdFMqKiquyRlDimc8F4yg1NSS94kPni7dVFz+0qR+wKP5LtB8jZCJO88Nt353w+F3aj2AgDKhU5BzTJJU5kVhknwkKeij5eG+xYiLMKLGWD+CUWEg8hwjCtCCnEpOfIX0oameTWpmQ+HyIQniKsm2C3DkwEIrFwb5g1OG5yl77bZNFL2WP8wMDYUY50v79vtCTkAADEt+PSWosxJTICmzl5Jx9wCqDdZbnH33MxeVTPvnkU54+f8bp6ZnIyipRZlOT5Trd8+m/cm/u3ejZ3pYLe7x7vT3ADuOWTM/qj9Q+1NA5PMuJbeycm43OyZA9NH6qqhJujbXw7GP8skW31+j1HXmzph87gsp0PpOGwMhIjZATtVVYH9EmEvKADpEQM65KWBsl5Y2MUloMRqWJQ4eyLaaxMEayy3gSqs7YqNDOoJSh0jXZSW2IrB3RBVTwjGctfjgipdcYNWBqRbaJaDz1ccXRk5Znn5/R+TfcdD0KGTeDL3VQgLrSOCvn5seBoe/w4wAEFguF8xmtA1ev72TxtJYUPBnF+u6G4AeaytLUlrrSkILooZTU3YxA/GiFMoqYvJSl9l4IsyKVIc8sMWsjoEEZ+Y48SV2Mc1G/nMaVQtIk68JPSCEyDiMpRpy1nB4dUzc1KWWs2ZLTBm0yOSW6biCEkiJYxrTMJfIb4zASqqpkAMm4995jjITztLUY4wRy13o2PGOMsmAqjfeIOFyBSydSm9FaCohVFc5KTRNTBLemK6YYAgedu6wWRXl2Ounyb2ct56enoC3tYsXtbiSh2W3XvFGG3a7jfPTUTctiuWLZWupiCEz6MROxcdb1V2qe5ybjWmuNTgW1mapAoTDGCpFaJQ6zuiT9Upach47GQydDth1u2c8+jy22D7Mg/hjtXdkZh++/D3LwrvausMTh9h96P36wgbDrOiyJFIR5e09eEgSiQgZiinHfuUubFt4Juk9k9pC+7BPipBkwGRsHZMCJ2DcZDuXwqYgLTRKmY2H8hyI8dCifPJktCtBTPIDJXs/3fvfwvCbYL4bIBHI9hiSkmO8R/AC6cSyiRpYQI8MgE402hrZZ0PU9225DYxzNsuav//Zf8/yjj/jss89plqW4UdGHz0mJUVEmzFhCKdPKKAjYuxfRh++VUkxl3+53wsNtbyMJf4z2cFDkh5+V/qWUeEFaKSjPaJroJgNhihVOHpPRmrOf/Cuy37G4es3V1Wvs9Rtev3nFOPas/Y4ue+yYWGYp6lPjcDGjg6RKSvpoT9O21HVN6ywmgcuKMEgoaehHrDuVqodVJLiEGgKhzqRFpmkUzmoqZ7E4jGkxpoIGjpctyoxk3dMPv8UPt5hWEd3IoCKro4qj1PKTv/6Eq13PN3d3QCL4xPpuJ1LnRrFsVmgyQ7/j9uqK7WbNZnOHoufyiWRlpKj45qsrhm6gMpF+tySjuL56hXMVZ8dLGqfRRPrtHWHsGLuefkwUBeVi/2f6sWMcE5vOEzNoB20lvJgQIsZqtNUohxAfTUnvy4oYFSlJSDBHGXfGWOqqZrlYUrs7/ODZbTu01tSu4unFJUfHx2itOTm6YdG+IvjIOHpejgPRS4rztAxFIEQYI/TdQFtXs9BQTuIYpZSENNkuqGoN6PLZKMqYo6dyTopVeXBGCNhTRsHUzyrnRN7ciujX5LXL4l9CsEwTmyAGk9GgAJ1LH06J3XqNrmqeXT7h6bPnJDS/fXnNze2a3371grvbNSlrnn+05eT0lGfPP+LJ6oLlsmUYhnsli8VAOECBi6M2DOOB8bA3JIyWMIyR2CI5C4E75UCInqw0xj7ieJTw7uG4fXthK3OOegx6f1xg6fDz97UftIiqtxHWh4bBw3M83Pdwn4fvD7dNp/htU+37nKVv2/ZY+8EGQrfrqK2a0/ok51liY6iywMZ9/P+QTzmd45zCVzz/lLP4NRMiMIcX9pDKVNgoZmYvfeIWzLUKym/uU5EkNj+lBsaS6394QvpAkGnywPfnehgKgXKB98IpysgOE7wm7LZCuMkZivejrUVrIe0BVG1L3TZoYxlDEDnhtuGzL7/g+fOP+Xf/x38ndRIWS7a7jn4c2I6jlF5uWkyp9tbtuoKaRJyrAC26Ah/QSQ4X20Mp0Hft9/b3ClX8j9neus49SfXq6urw4QHME3HOk7z0Ydpq4jaDShUsLliaBe7kKcunnzKOPbvdHX7cEXzP4Dv6PrLe9dyut1hjWC4a6lrkfwmepDK7uyReo5bFQBvDqnYS0x0qTPToMZKiJ7hIvwvEOmKMx1VglJeCPspitWGxdFBpVN3wyU8/JQwrjN6iSQQSN/6WYDNPvjjn6dVL7uIt6/WSbucZ+p3cA5XJJLq+4+U3X/P65Qs26zv6bsAaaOqK46MVKWn+l1+9JKYeZ15xdHSHsYpx12GXS6xuiOMOlT2LRhQcN7sdXZ/oR1hEqBpN3TrqxlCNwujvB4gD3O0kXKgU2BSxKZF0xFqNw81eatZWQhBZijQopThbnLBYLKlNDSET+sCuy1Q1mGVCJ4XFUFU1J8tjVFJstzv6vmdY9dTOM1RhjiGPQ2QIQmYcupGt3nH15g2b3YZhkJDiOAqfqusHrKvotz3b7ZYQIrWrAcXx8QnddqCqXkhROgoDp9SPaJqGuqkf0c2fwiklXphVUZwVt0VRVEyzGPMamVtTjiQ/sl3fgqlAOy5Ojjg9PuGTTz5l1wf6MXC33rC+veLli695/fSC0+MVp8cntG3L0dHRrA7o/ShhknEkFR5Y0zRz1cmpGSPkxlTCJFqXonEUUbRkHo37w+Oe9sPP51tyMLwnNOdD22OiQj9me2iofEi66IejBQ+Jh38Yp+wHGwjej1hMCR8UDoIStcQJvJ+g9reukmIUMzH/OVj4J6YnTNyFKSMhT5kL0/fyFGKYEAE1ZyykKaOgZArsNQn2+x/EQkoRnzyf2/3XvcFwiNoba/fL4qQMqXS59j3pZfJxMwptDSZlxuDR2uDqGlug7d04ooxhsVry7PlzPvnsU549f452VgynriOmxBAjylhsTlI0BopBJPdH6Q8fBA873EMNiXftd7htJvl8h/a9O3reh0beQhHm5zr7HaSUGMdRPC6l75VEZeo3byleZrqkUNlICMBUtO0Ku1gRwki9XdF1d/TdmrgGP/b4YWQcB8kMUdJ3K2vwJAiGPI7iOWqDakScyFqNThkVEF0lU0JypQ6HiplkhB+jNRidUSX0VLdCxtJacXR6TBwyw+jJJfMnBE/Smva05fjJkrO7JcYeU7mR4PuSJpjwPtHtBq6ub7i7u6Xb7bBaIO+jVctq0eKDeO59H7m7leqDVa2keBCpEEIDJIUilt+PxcPU1HXFctlydLSArBlGTz90JEQMbBhkLJuSikfKUmsiSfaIVqaoepaxhS41BzRt1VLZGnIp5uQTYZTaG8RM8pE0BpJxqKyojGM0hmgMtXOisZETxhpyEkdh0pcIPjH0ns16S+8HQgjEQrjVusfHhBkDcZTrNcaxWq6oXEVdiwHgnEbrPHvcU9U95xzOihRyPhxLADmVa02QNXvjYI+OCX9vkk+STLGcAr6PZBNBB5qjhqaqce2Kfgh0Y8CPA+MwsF3f8Vonut2GHCXDp67rWcs/5wkVlbPSWmGtlbnTB/H8M0BCqYyenC41VX2d/oyMxUdDCd8+Zxzigx+ioVBk4N7e/gi36oc09chxHjMSHraH3IEPCTG8z0h4n7P3RxVKCn4gqFJYRwsJxxTrIBcIIJfYlYz+fVWrOVwQEylL8aFpMQ8FMUgpSdxSHRgMac90j4UxKyEGZpRBChxNRoHwESbEIU6VD+HA4S0DND14cOR7A3eSgs1Mhr1MkMwDnH2oBAmvxD06ODdT1Wij8WSscywXKyl32+14dXXN8+cf8Vd//Tf8F//l/5lnz58zBE/f7ej6HuMqTF2x1IaUoev7mTxJITdaVa7xAe/jQ9uhdzDfi2/pxM59/3zb79veaxw8OMcQgiwwE8yrin56zjMPbIJ9J4/u9Z0UlyInjHZYo2hPTmkNXNhM8Dv82HH16mv63Yb1zSvWt2/otmtubtfc3WauXr6kdhZrDUeLhqaqWLYLctsQnCN1FToq9HCErRPGZfQqYWowKNEetYqcI4FEEIYCxhqM9ZghYqtA3VRU1QkuwTBsGYYOTEJFjYqOZ19+Sn1yiht+yrALvH71gt/8+le8+OYl//QPtyjV89XXN1yeV5ycHPGzL7/gaLXg7PiIb77+iqvrGz59Bus7+OorqKpAXVuePX2CNhqyZ7U4wVpDv7kh+IA1ji++aKmqY37xi19wdnbGyckxu75nvV7zj//4j1zf3HB3u+HqyhPCtAggY9NC0lnEqjJSXrvwEGQukIWoKsjB+nrNsPHEAZwCi8IkxesXL7m9vpEYegl3ZiUl1pVPVErjXI22RozrKAZa8gnvYRNH4u+/IdaZ5Eo4QiW871F6lLlPGapqzWa94+L8nNVyxWq1YrlYcH5+gu87UuG9OOtYLBa0bUPtrKCaUSqLtk0j158lLVlxQFicFuQMOst2Q4CsycqgciTFgB8CQ9wQItyt77BVQ7M8xTULKlvx+ScfET/KhJ/+hH/81T/x6tUrbm9vaaqa1XLJ2dkZy+WSi4sL6rrm+PgYoHAUvBiotrqn92LMpMQ6CUJrlLaiDZH38+X7xvI70YPS7i+8qiyaj4VD/1Dt/vm+K9zwPhThh7bH5sAfq/1gAyHnPFtRWomRoNRBzGyesA9PWrCizIFmwSQEFNMsFDRtV0mOmcrqO4chJoXBtwwECVvEOPENDkiM+eBMpllIyTmplOdc6r31cIBrZebPc85zZ48H55Xlw/m8JhJlznseAhmCCqSkMVVFzoj87XZHiJGLJ5d89MknfP7FF6yOj7FVJWI7SVTtrSkesLESvon7zI9J6EgBY/CQEqZoB3AQMjm4yP2t4LBz7a/78DuP9b09wnJIVvqw9n0687u+8eixDrZZa1EIwnWfJLU3pB4OcFO1JJtIUbylQClbrEBlDbrGVorVyQVNu6BtKpqmZre5Y+zWJD8Shl0hyUZ6rZECVIqcItYYOmOockWT70SRMkhIKgbR0LDJoK1Gu0rkKJWREr850nXAMKKMp/Ze5HsdrDee7XZHVbWorEkB2tUp1p1gdk/wQ6ZuG6xznJ1f0NSvSNHjbOTkyLFaOI5PT1g0NVVTs1gtCSnxyScDd0cj7WJkdZSpa8Ni0QoZT0uxJB9Guq5n9Bk/ZhFJquW+SElmy0I3QOT8/ATrNO2ipm46xjHQ9+M9jhDsp+FDom8uSoY6i6JkKkJgsSgk1VZTWY3TljB4kg+EcFDTpRQ5IpZ0OsTYVzljlMIZqbQ8lUFJUUjFh8hijMgingUViCGW7IYOhaZyFTlnFosFuxSJ4zhzEEwZx9qYEs7MMBn0xUCYX8t8Os2rqtwbQQ4UolRbFmkFGk8cS4ZIN6BdzTBG2pWnalrqZimojmt4enlJ27YMwygKjn3Pzc0NXSfp0YvFgqOjo5m8q41Fm4zNQvZNWeagiawopdqneIogPpNM+0Pu0v3c/nd72xMu8JBS/SGL70P04O30xh+GJLyLcPmucMNjOgiH33/svfzO2/PvhxgHj2575yx6v/1wqWUyRunCOxBumyrogZpW62lfpdin7wh0lrgfBggF5gppKnYkkPB0oWIMTHwE5uI6k/hRLnn1k5rexEfY/8YhUMcMhcn7TA7TdsQayNNyuzce8oTtMU0SqaAGB+eY9u/3/ImyDeiHSNCK4+Nj+n7g6uqa7W6HNoZf/u3f8rOf/Zx/9Vd/yer4GJSWUrhJ6sobYyWsYSxZxTI5yHW4ys3GiB8jpIRV+qCj7p/duzrTPuxyz1qabsrBex58/odtH2Jc5Pl/kp1APriq6VofLEazdrpSuMUpRmlR/PODFHvyARMyIUkanbMtJ2cORUSnJ2xuz9ht7rh98w3dZs3tVSIMHTF6jBqLnkIUdT0FOSYWVnHenOF9RltBxsygsB6q0WGcwTUtyri5gqRKirgeiLkn0mM3AVfB8sjw+mrH9fUdzy4XRd0Sjo+esHh6Qrg+JgfN0+cf8dHHH9PtNnz55e8Zhw4/9rPq6aptsEYqtR6dnFI3DW1bs9lsuL29JcYoVSuPVthCrnv16hW73Y7NriNFQ05SJKx2NbaQ2jKJtnFYs+T5swtOTpb048DdxR1d13N1fYcvcP0wiGaF98zjW5jxQhaMMaNUIoweP3ru7u4Io0dlaGuDcxZnLGEYZwLehBJN4xXKcNaaQmoqKZIyWYSwRwynNq3bKTGnG1LURodhYLvdkUKichUpZVarlRSWSoVYqEUEyliRjs5JxmouB1QT9WDqr4XENxkjMr+mvVGjhMvZVg6bMptdJg493WbHdoxgHG6z5WgYWKyOqKzFVg1VbfnJF5+TEnzzzTes12tev349Gwd933N8fMw4jpyeSh+oCmdiyno4DMs9HHtZlaqwxuy9t+kevsW5eLxJ+GXvXL2vfWiI4TEewvcyFBTz77zPIDhs39Uw2G+/78i9zzj4kwkxiIDIPi1Hl5xciu6BdOxULuzBjSpPWxABKU4UivBEDNPCXxbXKTuAghYcyBJPSoozlM/eKJi2HSINE4qglNkTDAXTQysrhoKc4IxyyCAV4Ew+UweaCIewhIxolcWgmHUdCl9iStHyITL6LNkMIRBRfPTJp5xfXPB/+a//a84vnnB0espmtyMmyYufMzOSVCHM3qOMxjVVUSwsstUlzcoUr+4+MfTBIH5HZ7XWvnff91nqf+j2mDX+2LaJg3BIlhKPSAhVs3F3UIlzs90R0cVT0xhXFO9ywqdAHAI9EZNHdI4C96qaxeqUo9WKHANp7Niubxm6HbdXrwnjwLofqKywv5u6RTlNsmuSljHjx4iKoEPGjQ5tLdW4wLgK62p0VYNSYmBnT8ojWY9ok9ltHNfXgbu14qh1OFtBMqjFEU4do5qjEl+PLK2hWa2ompZut+H2+g1311dsdltubm9QZJwWcSOF1AI4Pjvn8vlzfv+737Hd7Xh1dUXTSsrc9XrLOI4cn56yux3Y3PTcDSNvXt3y1e9vqWpDXVu+/PIpi0WNq8WwqixSi0AnmqpI8uZMTkGyjzyQDRJ0qaSuoTbz8+w3HeMw0G86VEpUuoRnskLHTKUMWEPr9ovb4Mcyv+zHe0IqzWatcVY4D8HkGQUctYx6bdSMeuaMlKe2so/3gc1mw9APQkYs8tuVq8gxokIUCmIUVClpTWVE6ImcMdqglSYo7hn0+7im/KAqzCOtJAsgZRg2GwIiab9qasksGDwhQcyBfnPLOOwYuh3GOpyrOb18Trs84unTJ5yfn/L8+VNubm7puh23t3f0fcfV1RVPnjxhtVpx+fRpQYzUzFWwxs36N4eOkcx9EzdJVFkP237OeGwRPdRBkHnzsXDCHzfEsG/fRlKc9nm47U+5/fBaDKqQUBRCzIKChs0u8/zsDy26mZ8wL8JFVCjtwwepdLK93r98T4h4jxgIFAOhDPiYJq9e7Y8ntjegShEWSZ0SQ4E57LAPgkwPXq5vfwGz3ThbxUosgmLdT2GWyesWjEHl8vvaAIlh9KScqZuWZx99xMeffMLHn3xKu1ygrZVwS4xoY1E6k5TIBFPyipVSwhYuaoPJl6JQZFn4MvcqYX4IsxZ4SxHs8Dvv+vf3MRB+aEzuMa/lwQ73fmt2RPKk2aHQJexwH/GR55pSJJFnZEz6SQnZJLXPtolCEIs54Uq6V1tLeV6Tj6jrhr7bEUOk73YkRLkwKUVUlkDC513xIBM5iLqdzkj8PVqi1tiUsFnKRSutyUoKQqUkxbG0llTdMFp0asmxBl2jsyUHSxxlYaWgec4aXBJSmqsrUkpSJTAl+n5HipEhBnECFEBCGUNtLCHDGBJD6EhKo2zNECIhZSkWxEj0kegjISZub6Quh9LQ1Jnj4wXHZ8cYw1wC3GhKbY5IjApV1A5TLMZ2VuhJVU9lctaQYRwGxmEUw0qVTKriXecomSMiPlaKRSgwBQZPOc5own652msVKC2FylKRG885FyNDQkH71Goh6KVSQyQGCXlooHHVnAqY1V6bfwql6GLsUI79ToJxLvhnVvN8tE+FTKTgSVmhUsJqRWU1VTTolBlDJoURXwiY2hiMcbhmSVaGpq6xRYshpYRzhr7vCSEyjiObzYYYgxg9dU1VV7hKSprr2pbwhp6Cx2X6VweIq0apxzlRMgffH5schETfFWI4bH+MNMfpvFBvIwgPvfcfwyj4tmP82IbHj4Ag6FLoZw+F5ZnJd7B43rMGi5fPBBmqeXfhIeRZqyAlGL2Xegf5YBKfSIdROmKcDINcUAOmvOnJaJAFPwHCtpcQh5oFSbSMNGOZVpF5wJZFfTJQpqbK4mCMkcn+rfMDHYU3kPLE8JWHeLyq8Sh++9vfcn5+wd/+9S/5v/43/w1f/OQnNE3DOI6sN1vqdkGjJZUqJtGDcFWFcRVNVclQTIl+HCQ0E8LsEdfOCfmuH+4tlA/bY0bDXjmNe589fH+47eBx//Hao2iCeMAnJydigD7Qi9fFSDicYMQwTSzrioQieE+KgeSDSMcaLemlZWHzoyOFkTB0Uj1QwW4QUqTVDrd6QnOUOXvyMX4c2W23XF29ZrvdcH39hk1es9G3wjXQClMbjLVYLE4ldDLoJMI72hiyshhjOT4+nu+9UTUqKkIynC8+Y3He0jStZGokRXczsn71huaixrpaxHmMxmpFvVyyOj3j/PIZn335JWPf87vf/Irb6ze8+OYrNtsNfhgY+47Ndsv19TUhSNz5+Khl6+G2jyjXoG3mm6tb0sYTfeT89BSlYbu74+oqcP0m8j/9/76hqhWrIzg7X3B60rA6OsI2FbWxGN1h6NlpTciROEo2QYqJhEc0B4RlTwJHnEMRbdGNUGUBHkMQZn4x6rwPDONAXTc4pRlzLPNWJutJXQBCLEhfOAhpyiFw1swLYYyFp5A9OUlIwhpwVtMvl1htkAiEqEjGKLop3nt5byUUIihsxlpBEO6PufvdXJbbxJ7COHER5JrxnjgGYojoKJyXylqpeqoUo+8IQ8bHxJubNUkJaXKxXHByeiqqomen/MVP/4JhGFhvNvzzb37DV199xb//9/89z58/58svv2R5dETd1Jwci3BbVeakiaCdD7x+BcTHAunvbGo2yvPkaE4GwwFJ8U+1vUuf4Y+FtH6f9oMNhPurwqExMKkhivc+oQoTfBvyHhnwPs6eckhx1kzYIwn7xX+y1OXzJEV38hR2KKqKGVASmS9+PFPqjZygBiW1EBRl/yk2OF3BQyJbMTgmw2QiTOac6cexwI52vgt+Kg4V00RlKOiIwP+7fsQrxSeffsZHH33Ez//VLzk6PkEpTT8IIXFaDFCKFKbf2EuVTvDorFSnhNk+fZ6yeKD6IIQyPbL75KBpGwfv9zrm304m2m97H8fhx7Zup2d0b/Dp+3wVoKSBTRkL++8+PLeH56e1QqdAVkgZXh3Fy1XCr0mSEiMGYEqkrEQCUKTzSagCIAm5LSpEMlkrqBX1Mah6hapX5HFDHq6lbwNjiKiY0SHhgvQt67L0CW1AeSnk46oZdjaqIElW41VkzBEVhBRHyozjSAgJ33S4BpbGSClhJaV7tRHZX1s5qnbBRd9h65oI+HHAjyPXb14RteF22xFjT4yRzeCxEVyQmHjKmX4YsH3ChkRdVdS1pEs2Vcei6ej9jhgSV2/A+4Fum3j6TESbQpAiX8u2pV9EVPZ0ux6rNClqNttQNACKFLBR+EHKMretwlpEhlnvFyZxYDLj0AuxsRh9xddlItglNYlmlbLPE7FYSeXNjDgw4yiaDUIkLU5InPrNfgHr+x6NoipzQ1VVaGdZLBZzOqHsN+CsoaosPniSLn1HlRBnlnRX6c/CRcplH0n3LPNTktLoVsGirqgqhRo8EUXQlsGLaJFRBm0UWhtiyOJ8jAO9kjotRimGtmV5tCrGp+L09JSqqqirGhS8efOabuhpmhZQLBdL4UJYN3vUU4aDSDPf9yCmMZcnK+9gXEsW0eFYLSZHntYMqeLp/TgfY8o8muZB/WAOm14PwyDflo74WPsQROIhQvvwO49Vc3wXh+Bgj+9sEO1DPffbY9seaz+CgZAKUwcmwsbEN8hK4HsQfYMcJRc9xkgkl0wDKUoUUynRezAwJ+gu5jwP1FwyF6aaCpORMWU+zNetNCg74cKS2oYCZfYIgprOcWIES5hAIQuk1qZkZai9gZCmlMw4kxN3XU/OUDfNzNIcvJ8FmSbC22QgjePI682WgOLv/u5/z0++/Al/+6//Nc45xhDoR4lduqqS/OHMnqBYshRShuRDGTZF3tpIuZepD00hG610GZj3jQJ4aMzvP3/Yyff7H6p65fl7020+3O+x9w+3fR+jYQoFvctC5/DYeY8EzeJP6QH0l/KcxfDWNacBnROl3pgI9CArQhzFML03uWnpc4J8W9mPhIqH+hqO7BzNSUuT4egy069fcPdmYBw8IQT63pNzIBNxLmNMoKrSHPNVSmGNR2uLylIt02iH0RblDEP0MEA0Xq4/xZIFA91mSxXzXCsCK7C4NQbrNM5KL1Io2tUKW1cYLYXWfvNP/0i2Fet+pAuvCSmx7j1ai5jTJHY2eM9yhOOgRGjp+Ijj4yVnp2vW61t+85uR2/XI1RvYbjw3jcfoAeeEeHx+fsnRcokfFCp3bO96jLbkZLi9Edl0pdJM9Ot2I3UFy+WeOGdsGcsZrJE+0nc7jBFPvh8GEhnjnOiSGFP8nf34jkk6kNaiXUKpBBp8nMfO9GRjpOhUyCKrlGK37UghonPmeLkUNc3acbRc0LYtzkhoYbfb0jQ1zhn8OBAPwgyRjCrE2WkeUIeMcDRZi5EQk2RXWWOpmwZlK/JmJxwEIxVhox9xTYPSBqUtAcgRUhwZ+kAMI2PfU9U1x90Jdd3QNgueXJyjn17y5Zeaf/7nf+Y//ef/zGKzEQNBQUoR6wxtkZyeFqdZRK+gzA9DefInd/FQn+TQSNijNSJhPQwD3vsSAhE00DmHMUaMRqfnMsf3woa8PTd9m5HwocbDY8TEw/eH2yaE9l3n9Ni2lO7zNz6kvWt+/dB590dIcxRS1cTwnzoAOZJzlM/jYUd47MSmXlBgIzSTAHKeoTMtnppijmkpZUCVHCQ1WZ57BGE+ZPmNCaVKZVLXSUIDWYFSgjdQDAdBIEp65IxmpDlUkTNkrVDWcHHxpBgbMPpQargX1MIolJHiK957Qg50o+fnv/glF8+e8/Nf/iVPLp/QtEum0ETRHmNGPxSYaeF54L3ng//Ly8GD2D+k7/5g/9faHtwK6Y/vvj8uj+xLypY98wGJNe+/LUakQRLOplhseUIlbp5Is1RuLnF0gPrsI764XDH0I+MYuLvdsuuEDd91PWkM5G7EOY1zhqYyVBns0GNLSelCjKAfMlEPDFrROIuzhrYytE6jraE3mpBh03UMfpDFLCeMlkqCi6aS7Iy65shdsDg6Qikxok4vLum6HZvNhq7r8N6z23WsN2tubm759a9/zfX1HW/e3LBcLbm8OOLo+JTl0ZLT81OOz05J6SPOnzxhvdny9Tcv2XWdwNhryToaR7i+usa5DednS9q65vNPP2Gz6ek7z+U5GFOxXKx48fqGzaajz5kUwOwiPshtX7UjZEhRsSqL/DTRRpUR1pLMYTFCyIlQuEwYqSZppnkA4TuprCRFtYypSVctA3sdUcXhAJzqF/R9LxyBYDEqs2grbFPjjBgn05+adGTKnHJQlWEOKBx0HSYtNg2S9pwz4+gxOaNdQJNnqe6xdtIPVSZnCUFUthGv/2BM+JLRMnQ7rHNUtchYu6qiXrRcPrng6eV/yXqzpe973rx6yctvviGlzOXTpxwdH/PZZ5+xLEiJ96EI3IV5wRZ1xqn2g5pDm9NCKgv/ZHwLd2VaQ8QQcFSVPMMpQ8V7L8fRlspVcs/K8R7z2v+39v72wxGEifZ3uEaVZOFU+Ag5y+QyW0aUNWs/s+4n24nUUggpmZkqOL/LBaGgbC8uP/t0GHXv0PMbpebfOvhZmI9c4DxhOaGSmiG+ufbD7DTLoBUSky5hhVCyMFKBgfOMlIgfCdo4FqsVH338CR9//gVPnlxydHSMsW62hNXkFUwYI7mQf6brODzj6WYevN1HE+ZtDzYd/EM9YkAceOT5we482P3hgvuexVa++8czVg5JaN+239QklSwwG2tzihmzEXdvMShGwmGWi6BpxWsqWw+Ng4xUDqwWBmUjxkdCXoHtSWpLynf4ccSHLSFniGBCIueAUT1OG5yypUCaKQQ2WWBsDqikScaRjYZsZUFMkWEciXHiDyWMUsSgIUeCMyxqYcFXbYstELGxDh8CZ+NYOC+R7XbL9c0N7evX3G53BBztbaJZtjQLIdsKe1JCGFpVHJ0cYZyiH+8w64jeRoahiJtFiNEzDoFFW1FXmso52qYYyknIdXXj0ApyjtStoXGGRW2LgZBpaskG8SEIzqYU2hSEc1a6nAz+JKqJuSACRsi/GLOvJZOEs2QKP2AissocMU1DU2hy3y8kLJHwwUOKqBQZnBU0tbK4oocwFYNSc58pCgfFSMg87s2q0ony/D4TYwAfxL0q2VrWaJyzVCnhc56dH60paEUxoGKa08zD6DFWUA1SoqprMpnlcsXRalmgfbi91YyD6F/c3t4QU+T09BiyZGUoRNnVmmpGFaZXOWWxtB7OD0oJcoWAwPPnWuu9jkRBK0II8zwd2iDZIOWzyTh47P79Meek79oe01N41+c/RvtRhJImxuoBtg1ZlMFSlkJO9/Jl08QlkL+YE6Xa+ExMnLIOIoWACHDolSklE6wuIyObIq2wH/iJg5hN+Uo+WCkTaYIPoHgIfuhnmMq6qgh8lDQdrfZyiLroJyjFizdv6AuRp2pqqrrhyeVTMrDZbbm6umK73XJ+8YQnTy75xS9+wS//9t/y7ONPadt2htNCTGQk/jo/6FKMJk9e62Tk7J/A/E4yJPL9zwvz+sGuD77+0KJ4ZN9v+/efSZuNpUM0a3o52DYhC0YFyIFDfrugOoqYTTnYZJCWgj1ZF0OheIEckmTL85xRBOmnyYO/G6nsEdY6Ti+XHBfC7nZ9K0WUbr5mGO7o+1s2/S0kz13y1KaicTUn7TG1rTCmLeqjZaHIiR2yACuj6cwZyQTGQeGspCnbUvjLD5FuK+v5ommoKkfb1BwfiXRwpTSujCttBNWKMXK53fF8vebkyXNub2/5+TcvyFdXqDdX7MLIuIt4lXBWivkMw4CPmWpxzJGpqBcLdrudwNEx4sdECIlvXtxijGG1rPn80y84PTnj9asbttsd19e3WO05Xmo+/8U5p6cnPHt6KWHHmOh3O16+eMNvfvU1VWuxRhaJiUMUxdIma1FuDTHTR8kOMlqqK9qqFtZ/qUegtaU6hM9VJGaK3PTk7Ze+UJ6vkCcDYZRwldOQk6epDMvKUVlLW9dYZ2WxLpyhSKlfgBSPUsVQ2PtH92uf6CyZGZEMIRKVF6J0Jema1moWTY2xljFGfIz0/UCY0ZS9E6ZLunnwET/K8cduh7EWVzVUdUVVN5ycndE2DX/zV38lBeZ2O7766iteffM1v/vn33B2esbZ2TlffPEFR8fHXD57yjAMjOM4hxOkKmbHOA7c3t4C4Jzj+PiYuq548+ZNSQfdG2D7UIQsklPoehxHhmFg0SxQqBmV2Us+63uL6BSL/3MwEr7NIHjf59+3/XAE4SB+K21CC+JcZCnGvYEwZR0c1k/YQ/j79MZJGnkWOmJCGPZe3IQsyEvxtKdwOwLt3XeUy8qXKN7bZBwUmz3n4h1ILC95DwSZxNO+MmSa1uAy+fsQQCmWR0eFRKa5vrkhxEQ/9BjrOH/yhJ/97OdcPn3KT3/2M07PhPWb86T6GAqZU4mc7GTk5L1hhSr54QfXtIcVptv/SEfPigfdpuz6AHl4q33bfg8+V4f75UdfH37+h2yHBsFDQ4C3jINiTMynKf3lUGlTCnAdeouTpl1BgJg81MJzOUDF7o2YDClpfLbkpPFKFmzJrTC4CrRugMQ4tgxjTegdMXQM2zuUkvBbPw7EkMgGai1KgNlGjI6kPKJVAA27zS3ZjliryZUjW4upXLELxXskZ5LvsdbQ7RwpepriPeqijFfVaubKLJRCO4tPmeOzU5bHx9jNBrfZMA59GfeRGAMxBPou42PGZ0VSFkwG42XsRTB1hXaKtFljtKJqai6eXvLs6TNCShin8clz+ewpdVNxfGlZHS05Ozun23aM44i1mXFcsdsd8/TJJc5arl5fcXvbcX2zQ5ss67hmlm8XEcaMtmKo5BTxRXdkTInaWClKlKQGRJ76Up5Sm/dBhsPxEWMkF2XTZGAcvZBGo4RhhTA48bcmN2iPHuzFltUcUjhEKaYwhNEai5R8zgXZDMGL84MYRRo1F1TKOWOyJWVDTLEQniMa4ZUpawpiWfp7ivixJ6VAKHLsVV2LgWQMx8cryB/R9T3X19eQMzfXV3g/slwuWW83c7ZD0zQopcq9lL50dHQ03zPvR7wfZ07C4ajZExlFoGsiQk4L4oROzN/NB2nNjxCZ/xwMBNgbCe/jOzzkUzyKOn2g4fCjcBBSTJgJvc/FOEhiIOQUZwPhUFEwlQEZphj/QXrjQ6nlnPaiG3sjYRpGhzdCBhCqfOdw8pa1VzrZVE4ahKxYjqEBq4TYEmIihwKzlVoRcl6xCDgxe4MYjXVSoCWWkqgvXr1m9J4QIx99/DFPnz3lL//qr3j67BmfffE52ragilRpCUtMD25i/E7bp3sn8KPhfjyH2S3OTB8dGgwFEudt61K++u5t7yMavv29ySN+v5HwRx+IeY8qHRoCPHKuEyz2VnhmbhMkVZ7LhBoUFAH2YIxkwExGwtxz5uPGpMnR4YOUFDaFaGaNCB05F6kaS/ALQmgY+wo/bLjNAUIkxySiWzkQVcRbTW0V1AmjIyHugJGsElt1DXagqiwq1VBV1LoutQkyMUqhpz4KwVFpRU6Btmkkd95aqVtghCznKkdbOZrFAlc3jD5w8fQZyxhY+pE3b96w2+24vb1ht92y224Z7xRDyvisydqSrSIZT0qKQKZ2DdZYMFuUNTSLBZfPL/nks09Zb9dop/B4fvHzX3Dx5Byv1lR1xXK54vrNFbvdDqUiKS1J6YwvPvtMMj5UZttn1rsNqxXYknGSlTwVHwWxxAeyDWRrCIBPiTFlHIW8rIQMaQyQUikuda+jHXQ5gb/DGMhRDLhx8HOaY0p7Bn4u43fKfJqcmOn9vkfCjCdM85mSlGu0oprQVzLBj5LFMI7YukZXFbWzQsoEbHKkpBi81PpIOWIUGAXKGMlG00rmwRQJYyD6Ea8N4zAKmVrByekZJ6cnnBwdM4wjzlnevLni+vqa3//+d1R1zd12y+XlJWdnZ9R1vQ8hIOe+WCxmRGC9vmMYhmJI6HtjcEIPQOGcqMceEngnA+FQz+WQ/AjMc+qfS3uXcfAug+HHaD/YQEgpkpIIjihyYYSLaEsMQSxO7/cIwlwboWQnZPBB2MJjEVmJsRgOExRY1APneTyzr70wSSuTZ8/+MNyRp20H5ZZnz05BAe+gWNa1M3MVutGXinhSmUXWAy3pkft1WjwntGYYR0bvGX0Qg+H4mGcfPefnv/hXfPLpp3zxk59QVRUxwdgPxDTuY3AwE3T0AYSZyokKSbHc9Hur1SPGwr2P7xtR9z9692L9fT/7U265dIbDEMPs/QFvGzKiHCiCPDAVoZlDCFkhkFURTCrIgSriPYcFwVROhXpb8mHyno0AYLXG2QXBK1JUjEPEIwJOtVMYK0W9rFvgqkTbAnnJk8sTht3AsOm5eXnH2I1s1h0mRzSR1SJTucSijTiX0BZ2d6/JqsI7h68F4o6LRuL8dS1s8EqjEDXNFBPD5ppxJwWNXFVTty16CmEUHo7SBq0VzhlWy4ZGQa0zJwvHUYg8y58zGfm3N9d0u47rN9dcvX7D9dUV61/9mpAHtGl5c7tmt70BlVgua86eX9Ilz4ubV3gdWZ6tuHh+zunpMbbR7Ppeym6vd9xsrhm6QVALE3ELTTIBnzLduGPjR24j2ARVhKgiY8yMEYYkPIQ8QjQBrwFriUqhaynmtF/IZ11VDp52aVN/KOgUea7jYKxwIfZ9TQxGIeyV9EytS9+bggoSOpVflP5mZmb4Ad8hizNQVRVjYfyv12u2/cDNZsPy5JRmueT0yWXhHSQWjUPrir4XjYhe7ZFeibAqCbU6d6D3IucRM6ToefXyG+5ub3j14gXnF0+om4aPP37O6ckx2+0l33z9gs1uxz/8wz/w8uVLjo+P+fTTT1mtVpydnRU+gabrunlxl0qnthgAiZjCnBFx2KaMgMViMe//UMflfx3tvpYQvBs1mD77oe1H00GYPaK0L96RD7zfmTxywD+YDIR4kOY4oQhhKnaU96jC3vNjDj9MSEIunqEs/mr/HrlRxT+HQ0NivoRpEVWFIBXnv7l0MhwMxGlgHt6GPBsStqpYHZ9wfHLM5z/5go8/+YTLZ89o2hallGQ5JBlocz5qsXrv65vn+TNJd5TJZO/Rzlewv7oHnUJNIlSPePb3H+N33/bW5+rx/b7t339YK/5+LnEu0PBjKEfOkArxT+7fA46BUoIUTNa7WJAHneveD5VpvXyYU8nLOXiGCVQWA0NPhJksKa0qQjJTZtuknilxcq0cOlu6NpHTwNhBDCMhZnajJ2Qp/etyxCQETVAeHx0qWbAGR0DVFZVOVBYMDqOLXLkShb48AdkKrNX4URjxk16HMragciKgpg1C9msqSAmrTfG+DVhL3fVgarJx4GrWu4Htdsv27o4x3bEbPY1TJAVjSlzd3dD5nn7YsVwsOLk4oW5q+R0vKF9OkawimIStFDZq3GgJyUPyhOhBRWwljzOpEuJLe4KiSLULakCMxYvWQrac68Ic9qj7TgkwFwRTB2FA4T4LvO+cLQ5BmcNSEhn4JLD+lFp9H0HggLC4z2iaoqVQUpvVVPOmhEB9oO86bm5uCCh8StSLpVSuBJyNWC1ZLNkoKmuIkxGkixGsJ/KlFvXPJBwRPf1GiPSpw48Bay2NX3BauC3LRcvZ2SmuqtgVrsB6vebly5cF6VEsFi11Xd0bf4cpjzKf7x2nwzbt45zbhxFE+uydi+Z757E/wba/jA8LLXwbkvAHCzHMBkKeJI8lnSVHKQuaUrzHLh1jLIvjNDAzY0zEBD6I5RqSaCPMEqbFGJgu/LDIyiSlPHlsMxksH5L7ptDEvqjS/njMEF3MibAdDu8iKFWEPw4Hai6/J78RRl9kczXn5+ecnZ/zb/7u77l48oSPP/1k5lncbdYlxRLqaoU1NWrq9DmJPGuK82QgE4pAYs5aCV+EhwIXDxehhwBDnkMMH/5Iv+eAyfktsOJPKc73GIIAlPvz9rlmMl5ZUBMZUSbjrEwxBooY2D0ewv44+0BWRuVQjIKJqljU+8rTijGw9SPOLrG6YbE4QuFQVMTkydkzjgOoDqV2aNNjTEZbh60XGLPAmAt8n9ge7ei2G/rdhqF7xTD03I1rjB7ROtLWtxglqFe2hmg1NixRY02jVqAjOldoq6XCaZSFl7JgZJUIOtHnxNhbhqErBcQqXF2jjcU4SyAzpkivIpFIGr2syFkRQwDjWF4+Z/XkGZ+nzF//3f+B3//ud/w//+//D6K7YSyZBDd9z3/6za/I/zSiVOb5s0u++OIzfvnJL1AKUvKYQOHwZFanLTm3mKTZbTu0U2zXdwy7kTENrJaJLz9W9IOEFPwgyMEQBU9MCpIGn4U7YHIprlRX4BMhxLdJ1wlm+fXyP3XwKl69ZCqcnZ2wWi5YLpcYI1oZUiekTHhtjUGRKlnkJ9QAVZRg2Wc3zD9XuppkbIC2jlTOK/rAbrvj66+/ZrHZUi+W9MHPiqzhKNA2C5yVjIra1bOTNQapiDtVrEVJ7YfgPf2uo2mXUoyrrhlHT9/v+PWvr1Eolssjzs7PODs/52c//RJbVfwbZfnVr37Fb3/7W/7H//F/xBjD06dP+fTTT7i8fMLJyclMLLRWQgaCGpRrVffrPYjhVWqaNA05Z9q2ZexHCX0/CDvcmwvgnj7Cn1N7X7jh8PMf2n6EEEMqAg6ToVCIhgd1wg9rhscQi+qhWO2CHMi/QxA28WQkpEmhLDMvrJnpvdyYCdgTYbXJst4jB3uC2IGxMX8+/aXpYvDjiJkqJhYLNiFCRVOYAy3eRGUtxhpOzs9p2paj01POL55wenbK0+cf0bSNGEfFYFHaiGxzzhwyalNKRXsnz2vsVAhlEmo6FBWZ26zFfoAnzAvTvBOHi9fDtj/eY5a2enS/PHvHD495//w+FJX4w7aCND1wAR81ZDIkZYuGgbSZhKjKKsIev5lCTqrk10+oAQdFyzIRlRNlKWJPR/OgBwxW7mrqyDkW7sskmuRRJqHMpOoXuL1dY3WNVTXWrbDGUOlzmnbL0O3Y3FWMfk0/gE87chio9YBClDmxBmU10YDPI70KpGEnGgBGEJPJSDbGoqzFoHFa5ISlim8spZAFBlalJHAwGW8zRlu0cbjGCsKSFGqMpJAJYyQH8f6VtixPz/mbv/t7fv6Xv2QYera3V2zWt7x88TvWaxGSGuItUTvOnv4D5+enNE2FtpT6B7EgCZmUNK62XDw5Z1h4xt5jXU3Xjey2A1e3W3adJ9xu8WSIUnMjK8Ag2Q0ZYgiySEeNjgkV8j0DYQpvTt1EUWIBk3GgJDXSaUXlDMfHJywXDYtFiy2lnn0pV5lTpHIWZSQYpdR+PpsN0IP3MPk3+4UiZUghgNYYrVkuFmy7DmMM4zjiU8a8foOrK2xVEwdPW8SQXFVRN1IGXCmNNaXmQyrOS4KcRA580Tb44Bn9WASlpN5FW5dCYjmy3WxE+KvrsXVDfXTCYrHgyy+/5PT0lGEY2Gw2fPPNN7x585pnz56xWq04Pz9HKeEojONYnLv7ztHh3D1xEKbXFBJZ53ucg9mgewQt/NNv98ML34YaPDQYvm/7UdIcc5E9nbxVKcf6iHEwQfep5Dtn0TCfQgyxGAhTypE80MkoYB4octGHJLBc9AkmwuF+UO2n4AOjoAxoZuNjbyCEcSQ7hzauwKFqvp4QJN1NW6ico24amrbls88+5/TsjE+/+Jyz8wtWx8dCDprEUcpvK12knQsDeoLO7lnEOcsEq7SQtFQ533IP5/teUIyHi/LbD4j9PXlgDDw0At617fGDvm0c/Dm0yYiSl/zubZNRqUwR55quWBU0QeLE85w1ezhln5wK1yDDhBbkVIyH/WsuoLbCo/SIUmIg5CgGwsT8zwTQHkVhZhtFjJnbuzW1y7RVxVG7wOoW1yxp2p5h6MAouu6GMQ+Mg5L4uu/IiGdI1BAMwSp0tPRxoGcP2woa4GgXS6qqpqksKpu5JLRSSLGjFInZE70qITFN7xRDpTheHVE5i60XhZ+hUL0YB33YERDekcXQHp3yN3/3v6NtKqxR/Pof/xO/++2veXP7En/XsxlGrtcbgsocn8NP1Zecn59gjBhhMQdh40fRtm7rBcenx/hVIoyRtj2i60a63YD55g236x3rcaCPAUYxEFCgHPgSBhUlRMhao0NGhT1/JU3cqD3uV8jE+xCDqCuKUFFbVCUXbc2irTFldvDeS0g2BhZtjU7VI0bBg1FW0hnujcbpvKLMI0YbVqsVm77DWkvvPX4YiCpjq4qqaQndQFPVHK2OaRYtkNFaYa3DFEMno4rTJ+FeYwxV29Bf39KPI/3gy3y4oGkaUIphHNnutqzXG66vrnB1y8mzj3n69CkfffQRn376KdfX1/zH//gfef1a6pL0fc/FxQVt2xYDldlAkEyPvZ7BwwV+7rNKk5yEuR+qwP75GATvbw9VZB/qH3xbCOEPF2KYuuzUMYv1LpsOrOxiuYUYikEgPIQwyyYLkhDiYwbCASpw8Luy2O/VBkv+4j57Qe0H14QWyHmV705e+8E1qKJnf6jrnQvLuKoqTi+ecHJ6ys9+8XOePn/OxeWlTLRaYeuKqlTE09ZgEQLNGIKQuZLeQ2ERxjHMD3hCSyjfsdZSVVW5X5Gh7+fY81v3/n9rH9SmEMNb23jbOJhaVJqkleDO8+IvL6oYd1PmiGw+RCamiDaFfxBnw4AcmCSbUUlSEM1ISlrGTXIolTBKYysFypJ1RWIkxJFxuyUmL1K5Eba9J4w7jILKVGhlUeaIo7NPaY/OWJws8X6N93eM//wfGPuNVBosgjP4vkyuaiYVN61M+EfHJ3TbDShFu1xJHny7wNataCHYCmMcxla0iyXWVbjFAlTGk9iMA9oH8rpDK4NRlmV7gmkajmxDHCPRJyptMFqVAlKQo1Q9sk3NxfNnfPzZJxgD69srjElkDa+vX7HeXRP9rZAsF0ssmhQTb15csWiWDMcDlWkwynF0sqJpE4tFAFuzXG9ZD56QN3R+JxkbWhGNww8B76MYDypiRw8YdN4z4yXmL13CqLdj3oIgiDNQ1RVt23J8fELbVLS1JfYdKUpGQ4qRVOZHm3OpZVP63GGfLb3qMV1AY4x4+zFijcFUFe3JCVlrLi4ueHV1Tb+VMs7aWup2IDUjg6vodx1VXbG+W3J0dEzTtCxWK4yxOOtQaFKSOjOD92y7HVXtqNuaE2Vmrthutz2Ym2WuHUdP7z3X3cjV1RVHR0c8e/YM5xx///d/z83NFXd3d7x8+ZKXL1/y6tUrlkWO+qOPPqKqHK6ys5zydG+nZzBfO4K+WmtJao8uPMZdkGOoR9//b03aj5PmmOMM086ExDgVY8rz4pyyIidFSupA4+BAuOQgcyFlgbNEGkAyB+apN8O+xgMHr3n/vniAM7e4eOspQYiSqmhLnC7GVAhDGuoGU1WYugJtSFmQAFMJu/vy+XPOL57wyWefc3ZxwfHpKV3fC+dBAWhJWyqQh1YTXab8P8uCkgryomfPPhfnVM0XmfMkKnUIcU/r00RSmqzI/fU/bJOZJISow33yo+/2KM39473vX/NvPRIH+7bY2PcmDO0tvvm789079BbyHhGQcyhfUftDSCqf7Hx4BjoX6PjeT+UDOLmkkJJRSip/JpUFmU971EHEbzQq78sNCyOtnKAGdITsmFNZVSSrgNQOkROR2LAmJUtOCqMN5AqyFWKvCig1FkKgZNhYU1ObY0y0OF/B0RMwNQNbQvT4mFCdFDsSKD1AzjhtSHokDUOpQAhDioSqI4wdpmrR1qLrVrIb6gbrFKhI8JqcDTrbMhaTGORKkXUEG8AUMplWaFtqQKgifoPMI6Z2NEdLTp9esmgdziiqpcH7geB7bvoR1ffk3S21cyyXkVXboFEM/Q6VM84Ygh2w2lG5FrLGOcWihZwNlxcLrIW6VnQhMYTM7TbjsjgeIUqvMCoXrAf2pd/LuFWiSKkVGCPFouZyCYVfVBlDXbm5GJJGoayITSUFOSZSCoCWkI0vGSKq9B1VDjj98hw9zDMfIRu1D4lpUEZR1Y520XB+dsrt3ZoUPMpoVIrEccAriyrp5FOWgFZaJJBLCneVk2RvqXJtutTCsMVp0RYVI9lnAcwEGi0nMQ9CCB1jB9vs2TRStOr4+JhVW2HVirHb0PcDXdcxdDuiH7muHE3bsFwu0aslRhuMsaK/o/dGuS4hDqmzE8g6z+vApD4yjd98//EBkw7Fodk1YTOHM8L9+UtNk8P39NUemyMP2/1t+zDDu+bJh4jJD20/AgdhJEZDDGnmHsSYiCERJ/3tpElFfCgmQ0pqJijGFAlRiUhJCUOEFOdFPGbANgjtuLTSAafqiDlnKOqL08OPU0nfMjHXi7Ys9onNdkfKiSfPnhJHT98PnCyWVHVN1E4qljWNaM2PI+uQuDi74PLZU/7t/+m/4PLyksvLS3a7Hdebbj4trcXwUTGi/KRboKiUwxk7n3PcjcLcNmY2cCgTjFKKmALJR5FmLa2q5PrvLYJFrU2+/44OMQ3O8o15cUQ6934RvW84PIz3vXXMx/reRJr6DuzabzMO3pXCc/Cl/WsxLh8iAZOxME+iyOSaxe2bx3cuBX0O70UTEyrOo/LASL1vSOxTIcGYvD82ppzHIfLDg/sNmUhOQQSDyu6JDHnHlCJHyoi+wgrLCnQpBDVNcUqhlCdxjdeTDLhCWYWpjjAcAZn6+IK+25LfvOLm5Qs2t9d8c/USkwOtTpw2FcvK0OBwPsPtGquj9JfuBq8UXmt000hO/ckptAs0Swa9w3tHNzisuaQ1z3DOioBPJXLQSisYN2QFUWuMNVRWY7Ul5sR61+GTyJY3T4+4PK1ZfHxBCJKFYNbPuVvf8eKbr/nm5Qt2d3csXl1js+gS/OzLjzla1YShYzd2jN0NpiSiGq04Xq04PTll1WZWjebjZ0/xPjOOia9f3PHixZb/7r/7irMaXA1XvTgdVYRtiqxzxBgpylRZKetsjKLSClMWUKnIIXJZKUTCEFg9PeN81ZCHQUTXcsXRYkHtHJVzTLDmdrsh9AkV7gRSNxpVV6JBURV00yjQYowKA0xqfEg4THQ5ko14PVLbyMnpgr/9q1/w+uULfr/b8OTpBQDjOBCyJfrMaALWjrJA9z1V5dh0d1JgarEQnYvK4eoKXUG1qMp4C8RcwhJOo7QVEnqcUiKlRo5RkUW1I6RbYnfNq998g3WO2+URZ+cXnB2d8Onf/AWj99ze3PHy1RW3d2v+4//nv2exXPHJZ1/w6WefU5/WtPUCVClONUW41RRKhZ3aERim6KqMsUPeyMRTmXyznEXAyVXziJydgnnLI/NTFn7Jd2kPiZYPjYTH5q/p9X0gx3Tcw/YwNP1d2w9HEHhkks9vb5vn8TShCg8JbeWNmi5UM1EOJ7na+QcVD0RJDr3u++dnSjnb3W43oxTOOdCKuztRoauqil3X0Y8j9eqYYTNyc3s7hxX+4i/+go8//phPP/2Uy8tL2ral7/tSPjfM6TWHxMP5YRerfComMr2vV0e4g3DB90G3Js/129shyjDdxLc7YLmDH/rjP1r7Nkv3+5BtHrs2OdhbazM8PL46sCQ47F3vep/vf21ynnhPfvLDBz6rXaqDAx+Evw6eiyr75Mw94+DwGh/+3v5zhdaWpm65uLhkWdeMT87ZvFkR+y1hc0eKPbvegx9wWlFbMXqUKoZjWbRcyJgq4fUOOybsGHG9xzgniJvROCP6/dZamliXbIcpX5OC7BlSMqRsUVpRW4PJImVt9RGxTRytjvFhxPtQSJmOsfNED51bstQOnSJaZdrlKdZZRn+NVpmMoW4LS99qXN2AqtntxPg6LuWLUQltPMYGXCVGQdeX/lIWPNRcVmL+U1oV5EMXzsG+iqQYJRrtDNYZqUVxMEe89YfE/iGSCwo0oQYC10+crwPUcI6oFvRF7RU9pRBVmMWYjk+OeHJxxtB10pO0ES2WvM80i4UQGKIn68zoPT4EhuBFZ6CusFWFqxsmgenJ+9ZGCIwpibc7OYI5UozoXLgWwq0JYY8U73Ydq90xk0Ll8fExTbtAaYMPkZubG4bR09Qtz559LPUgTk7QStKOpbaIkOaz2QsnpTRV0fUzJ24K4zZW5m6R6FePD3AOtr3V8qNjfB6Kj2z/fp79NJ+9+9jf5Rw+NKvtRzEQ3t72jq1538Hn+P+BoTBbQMVA0ORiFT+QCp48vgOc6F333BgDStNvN4JwAKuTY7Q1vLm6om5alquG9WZNymDbFV3XsdlsWK1WNE3Dl19+yeeff87nn39OXdfknNlut/eKKx1qfT9kzU5oxlSa1HuPaVpstb/udy4kfDts9D7I/iF55eE+jxoJ71pcv6X9UHjr267t+xgJf06kpMee1UPj6LF/v689huKIUVyzbBvyakEOI+u2or+75Q5FdxcY/EDseozKVBpEAmAyEKSKaZMNNmS8dpgxoseAG8RAqNoWazJOe5q2ESM6L0XsKTnUVLVQK8iWHC05W4y11M2iGAia2lYyHxgtImTBk31GJ82w86hoGOoVC+dQKUBKLBYrlMr4YEpoxmCsIISVM2hjicmy7SI5KRYrR4i5pFY70A5XKboh04/7STllyPqhgSDGgSr8Da2mtEaxAeXn5TNrrOhFFBhcDIKyX/muhCgkDJWU1JdR+v64ShlUmrxJNRsHApbq4lApYplzY0kt11pzfHTExcU5v/71r8kZ6nYhHmY+IJNnqYxjYyArIVD6EBiDx1iLrRztcsVqWlyVFGJSWgMl82vWJC8F+5Twbe7PiREQjpUPUSqX9gN13bBcrlgsF6yMw1jHze0dv//6BVdXN4AihMzFxRPqthWHT6nZYQsh4Bal4qOxRCI5ZULYi/ZpbTDa0tQNpszXkwO3v9nTIPv2sfsvPc88dO4ehm0fnsOPxaf44QbCBPHk+wt+znt+dmSfWhJTyWQoAjAPwQ+lNGaSP80SXwpKH+xXzPl7J/H2ecUY2XUdS2Mw1uGcE/nmgl7EEOm6QVKrgJPTU7SxNKslZ6VOwmeffcb5+Tk///nPZ93wq6urOU7Xti3L5ZJhGGaRo/117B/gNEincqRTYZG37mW+//DfZTB8l/YYpP8vYRw89ls/tH3oOTx2TX9u7bGozbsYyu/6fNr2sN2PcWZIQsRTGKrKYuoFC+PwxxecHZ2xuX7FsL1jc/2GOPYMw46uH8kpMvooq54JNIPBVYGqpwTeDbaVFLl2scTZNziTWZSSv/H4hLpuqesGW9VoLYs1xpGNJfsa5WpZEBOoBMbVGGOobUPUDcFm7KnlrD3n8uiZZE/4QP/ia/pux3a7gRwYho4xHRHCyLaThc5ZT/TbwpHK7LY9KcHvXkTu1h23dzt8MIxjJtsF0Ytsta1aQBMjWNuhzIjVEvO21uCMwWrRONATwlAce52ELFhbR11XOOdmIwJknpvmNqUV2mi5VykTsxE+wYFXm1La01aURunMlL2lFCLmhCqp5AKlj6NHvHzNx598TLtY8o//+Du8H9HWS7hT8lWFpJVgjAGtFZ0fMdZg3QZbV0WfoOLoeCCljLWie+HqjLEVxhqclQJ3zojwXEoy3056NWIsmRkpABj6jt1ux3q9oapqjo5POD49p21XnJyccHR0zLNnz7m+WbPddbx584qr6yt+89t/5uOPP+b4+JTLp5dYI9oS6+EKH8fC06lwTU3lGiF8jz0pRvzo6bKQwic5Z6YU5XfGUR+MrW/d48dsj//ajz3vHrYfgaT40DhgDjHc2w4z5J6mz6bvl2PNFvWkz/XwGR3u/Bb0eh9NmH4vxgQ6zUgCeiq/LDDTJGt8enpKs1iwODqlrhvatuXjjz/m6OiIpmmk2mIIM0T1sCrYZBlP13HYJoTBGCPEq6KvsL+stxfxH4IavOs7h9sfxuc/5Lvftb3L+387/PTt+x1u+zYOw7/kNf1LtnfxNR7b9vD9d4Eyc6l8FohCzlRgtcNVLeooo1KmrhpICj90DLuKsd+Jpv84pTUm1ChwdDIBdCKriE0KayMqG6IdiWbA0JNjTWUTKvXo3EKSDAhja7AVKrl5vghGeEoZjc4aHKgQ0VljM9TGYStDpSvxWnNmh2W33eLqG2IYqYeei8tbvB9IcWS1aDBG4fueGCIhJqrUEEOiD4pNl7hZDwyDkroYulRy1RFlGkBSlJX2RXBKY/RD5LAs0hOCwH7sy1wjVRWnwNE9ZyoLwRXE0xcWrCn7lv6s9vOqqH8mgTTYoxCqxOEPe0OKUeY+NMvFErKiaepZxE7rCU+XiVOy0IpQXZi0Y1IpV28IIeGco9vtsC5ijCNljdAoNM6qIr5oUEaMUaMVOSW831diVHr+SVIOqJQJhXfVdR3WbWfkwxhLXUmKaFVVDKOEm/w4cHd3J1k3TU3TtLRNi9FWVNCnK0tiEEt0zEoCUVkrprLXOWfuVWM7uCfvbJkPD8v+wCbd421C4/v+/S4U9UPP+UcJMQh/auroBYrLJZSQ8xxOmGSLpcpiZlI4nEzk/RwnUNs0MJQIgO8tCu4bJDNPNR9AMeXNMA6YGGnaJVmL6NF6tyPEyOn5ucSoyPz0Zz/jo48/5snTj6iqmrpo0iulZu9/WtyttbMoR9d1c7GRnPMslXyIJkw1FnLO1HU98xa+9z3/jsbBfQ/y2xfSH3sx/dCF+0OMg+n1QyzmPwejYN/2C/1jSNJjSMIh1+Xb2uG9S0GKjvXRo8kYYFk7KlOzOFmyWp6Sg+f45Bljv2W3uWV9c0232zLmV4SCKqReYSOEnFE6goroIWGsJY1Q2Ttqd4vyS0JVo8Oa0CwJTUvVLLC2oqpXONeiXI2pIlH1bHZblHIo7aAOYCv8mECJZ1pnhbY1rq2wjRga4fxTdpstN1dXSDw98NHHPyX4Ae8HtBKoe+i2pDghCB273cDvfveC6+1LhuR5dbMmZ8Pp6RHaZWwGlCOXCpZWBxG0KvFtKZVtMNrMWSCavA8zFMfAOYc2Ijo1V7AtonBRR4IKKGUxWUtIAoXSFTAVbYtFIG6K42dZ9BQlM0r6hlaFg5BK/yhZWyip8XByfMzx0THPnp3x+nXi+voO5zgIi0reV0ySqZN0mmvdxAxaR7SW7IqYEs7VGOto2l7QoWZB2yzl2VaCLmgjxlGMht3OPVAvlARgayXk0PUjMYkUc9f1WOtYHZ/StkspBnVywpPLS54+fcbt3R0vXr7k+uoNL1684M2bK05OTri8vOT5p8+om4rtdvsAtRXExShX0BYxmIfBl7P5AKPgj9Yen/++7d8/pP0IBsI+k+A+kvDwDw7YNNOX32p7FKFYcApUPGTuT4tM3h/g3sIjexpjaNsWH0SYafCjxD2NLNbGGJq2xVUVVV1zcfGEJ0+e8uTyqajXhShlnKHAZtX9MqGzkUOJvbGHC4u62kQmQ2uMUjRG7++Htu9dCB5ahNPvPsZI/baF9duMg3d54d+1vet3vu1477RyPxAFeNe1fNvv/kk1tff7Hj7/h33j23gI73uuUDzKnIXnU44Xs2GMijwmdNKo7NDNMZVrse0xpj6m3m0ZkoXtmjHdCJktFIKaFic1p0wOgT72ZDeiK0+ftkQ7gI+MdUdX1dRlEWnbnrpZUtctsfEoZYsC4gLnGkzl0CmTR5BZQKOUQWlLzp6URpK27GLD4BNZWypXozW4usaPA0O/E5JlzlKqOJY4eMiMo6danHFy8RFPnl3zH/7Df2S97uh8IGMxlSVEMQ6ca0jZkbOI8eyJiRPpcH6U000vjkrZjwNHSak5BDCJsCkFxsh+KIW1kmaNKo5tcbBQee/fzvNrKtlhogUTi7CKUgpiKnOTZFZZa/nis8+xxnJ7uy4e/N65ynlCJCRUkgrfQZVsAbSoSw79gPcRY4wUtxtGhn4gtB7nKhbtEltVWFdhnYMcsdpIOIqJYZ/JUTJxjNK0dVNmdlUIkDAMPSFEhmFgu9tRNw2LxYq6rvjo+XPadkHX93S7nuurN9xcX3G3vWW5WrFarXDO0rbL2UgYx156kpIMGqVK353nkXfJ2T8edvi+c+V3bROC8N2+82Fz67vaj6SkeH/BnqCbw8/2zv9kJMj3JZ6W9xPkfBPU/D1g33u5/1v33zN/Z8pAiGkoJBiRSzVaSEIGsK6iaResjo44OTmVWNfxEf0wsNvt8L4YCM5infAYphBDCGH+WWX0vV8XI6FM5uwnEaPsPMEPpYLldA/f5S1On9+/128/g8few9uLzcPjfNti8l3a+877fb/xPiPisf0+JMTw59amRQHe7g+H29763nuMicNt9/6dyvRb4sBKKRJaiFwxlxx9g60WWFXK/toW22xZbwd8NqjOk/wgevdRoUtyA6VschpHVO2xKUq+vdFknxhdj3EVdT3gnMj8xoUnNZ4cEkobcjZSPFuBjrVUvoxxFkAzJUWY7EjRkDF0WRNiAm1wdYNzBq0WjEOHdRZrhdefoidFEfTRyhB8QrslR6c7Ti+2/Of/5Xd0Y6LrQ6kKKJUE0RpTVahoSHEiJO4NrLeMg+lel9dDRDGlRNL7lDapWBvRRhNTxKgpG8KIe6v22Syi+jrNjfnA6BCnShUDYVJ4nJ4/WYIECon/P3/+nH4YsOZXJNSM+sr+zARLmcgVKmeKrAA5Z2JIjNmjdERpTQwJP3q8G0khUVUVGqhSJJfCZKj7EvMxSo0OKfpU0JaiC5GRKr8pURCAwG63YxhH6rrBPLPUTcvp6QnWWnZdz++7r9huttzd3THGwOr4iM8++4zVakXbViW05iVsUSwgWQ9ETjrGSRL9kBQ/rUWHT/P+E/6u08339+4fn/+/T5bXh7YfroNQTiyWzjPXDAByVgdpjUXnUGsRY8kclL8V42BvaOwt2nt1GA478WFYoZzL9H7aLyFyojpnhljCGyFQVQ0YzXbXcX75hF/+5S9ZHR0RU+Lrb74px8pzKGGqNz4Mw73Mhenzaf/ZOziom3C4qB2Wc54FNn5g+7aF/bFF+1/COPgu7YcYB9P7D2Hv/zkaCvDtoYVpn8feP9zvreeds8SHEehboHFRyJM04CgLAorKCPHOKo1Z1jT1McsuEcyCPii2dzcSbhhjyVigfF8ky1M9omoYDWid2OkOpYt6o9tgraNplywWd7RtS7MUOefV0TEqBbLvSGNHBkIUeXKlNcvlSgoNNa1INytLosZWjsVyyWJZY60mjD1jCvRxy6pphWynKsZ+YNiNot2SYXm2ZHl6xOXHcPrvj7nZ3nK9uaVaViyOHGxHidfnLSoHDmWUFbKQThUVZe7L+wmsyLjrkl0QyVhKGnfJaEBLPr9OkRillLwuNTCUUugsJG2tFSaJWTAJw+VcEKEirSi1sFSpjSCZBXN/yFNRKMXnn3+OUpqvv/6GF+vAetzXD8mAKs6LUTDVO1BKFvucDVjRnIgxQgiE0aN1jzaabrfFuYpuu6Wua6q6pq4bnLPybCqpQopzhJjIDAQfCEUemnJ/s1YklTHWzdc89B277Zbr62va5ZKz8wueXFxy+eSco6OlyDpfX/Pbr17y5s0Nm7sdp2dnXFxccH5+Rl1VXJxeEqMnxEBKEVIxlpndS5iD5z9++5D56/HvPX6Mx473mKPwfdqPUjQ754M/Dl+nZXz/bxlYwvZNuWjVl8Ekk9nEZziY3A6MgPkHOdx2YMXNY0EmO21EmtMqYdEmVUrlWkvlLEdHx1w8eYKrJJ1q0u8+JCFOHIPJ+5+2T4bAIcdg2u+xxU1qMNwnNh7u/75Y88Nj3b8dbyME735WjxsHP4aR8CEd8n3n/23X8W3390N+71+K7ftjtHeRE9+FzBx+5+H2hwbq3rDe5+lDEWNCUomTUmRtoIjbeDQxK2ICp63IiTdLqsVAvTxm6CV7J4eeqfofWYmHHiJRZSkbXFL1YqmMrUgoK2JDMXSkAH6UDImmaTBGKpcOQ4e1W8iZkJNkCVgDDNSxRqsl1lnQFSHvMKouq7XEO7QRXkRmRJkKYyVPP8SMsqUmRmZG9oxTLFeOxcrhrsG6hHUJYyM5JmL06BzQh3NNhknhcqIfTh77PCmSH2gfCKHRlDLZWuu5HszbboN4ulopktJoirGQM6kw7uU5p+nhigBVyjOBU85RnnmadFiamqOjFc8un3Ibrtn4DsgSyphOQB3M35PTlcTbnpyhPNWiyBRRvEIxjwmDIqdACp4UPKFyWLefQ42TuiNWa7IxZEnMnO/trBWbRQExplw0HRJgCOPIbrtl7WrGcURbQ+Usp6fHrLcju13POHhur28Z+xE/jCwWC05PT9BG0k6TYn8tj84j98MKb+0xXfx3aD8GgvBtc+2PhSr8CCEGdWAEZFIuVe9n46CQEcvFTQxdCS1MOtpZZDNhVk8MJZVQdjsMSxxYIxxsKntOLebEOAbqthISjatErTFGbGWp6oYnz5/z2eef89nnX8zxMGe1KJaVjIOUEsMwzOTE5XKJUooQBPLq+57j4+MZSZjaY0zSyUCQmO/Ecz68l2/LEj/8/Ps9o3eTFB/b9/u2d3m73/ad77L9Xb/z8F7/2TX1dnzzQ7gpH3K/79+TjDWqhMImlTUFysqCYhygyVkxJpn0c0hURksVx+UxLZrjLDUbUIpxE6bAmqAPSRF9JCTwyYisrxKugpxBmRV0pNt2bOuAqzrqekO7aErmUYZCLMyIi17VDucsu7MT2kWLPz2hbRcY17DzFlu1aLXA2oacLdYotOlRZsC4GlspnDOS+hciyhbHIvfiFQfFxZOG7W7B3drQNAlrB6zryQhjXmcvcHjK9+LWubD+FcLJIqXihac55Dn9WW2wVhRbq8phtcHncV7cJ43mNPNSilMDJKOIOYhPFSfuQSpl4gWqnzjdE4KglLD3NVJwyXvPYrHg7OSMv/rLv+L18D9z072UBTpPPKdD71nOQTIKJByiitFy2LfS1CdjJmlPDh4/OIYiSuTqCqUT3rdUVc1isUBrjTN27h+jj+Wa9r8cRiEwDt7PpMfFogUUu82a6zevUUpx9uSSs7Mznj97yunpc3a7kf/0n/5nXr14xZs3bzg+Pub4+Ji//Mt/xcXFOWfnp4AlxMBmtynncDhy9MF9mK2mt8bpd23ffx5//zH/JZyfH4mDMK3Z6mDAlIlgsjyzLPTSsWR/RUkXzLJw5hL7OfR+YmavOZ6FWXsfOcizcVAcGCaIShsjxY6GTNUu5tRJpQ1Nu+Dv//7vefrsGcujY7bbLSmGonQ2lbqVidRWrsCKBUKFgk5IARYfBK5CqXm/meWTy5nlaTIqeuDaIKzsH37/H3v/h/r+dzn2+0IG7/rev9S5/Sm3b1v03xVeeJ8xcXg8beV7RdyOnKdC1LkY+XskbxpXIURMzjRVTUViRWS3uZESz+MWkxNKZRQSylNKgapIucbkApdrVTzdRM5BkAaRscHHyBgSY0woa4nJE7NHKUnFtLWhHi3WGYawpa4r1pvXtIsFtlowNpIyOXQOPy5pmpqzsxMUPVr1BK8gW2LUjMNADD0KTU6w60aiz3ifWCwUpycVq6Umhi3ddgdZSQ2IlSH0gThmiWEDMxKtmMOGWeI195AEqYwp5Ze1MSI4VLhNpnAPtN5716oYjHl+L//WaMgGprkxCS8hZRE4MknmLTEQgJQwVla9mWSdpKx95RyfffYZx//0FdWbG3KaDIQplHCQjaFgqlOgUYIQhTh/rktBKjWjUxlyFPXJLDUmco5st1v6fsAYS9d1OOdo2xaljZTEtgWJUrpwZBTbXS9lzOtKpJuBvu9mhUTKb3fbNTGMbNe3LBZPMbbhpz/5Kedn55ydnvG73/2Wr37/e7abOz77/DO++OILLp9eSHZJnsJFap/peM/tfB8P4Q/f3hdWmN4fvj72/Q9pP6rUcr63/VDad7+NWbc6A5opRjcvqAde9Qy3TR/lvdGx/7T8Kdg/2ZL+YwwxZxH/mI6tMtZVLJZLfvLll6yOj2nalt3QQ04z5KcOyDRTSqOELfZIh9JSyORhCGKqiqem0ZOn+7TnJqhc2LPvsfreF0f6Nlj+Q9GH6fjfJzTwrmM99t0fM5TxrnP7kON92324dw0HzsK3nf+/pHH18Dzf9fm3IQ6yDygtE78GyGofLkf6t/B+1N53UpBDQpOpbYWmpk6RZrEk+IFuXRXoPUEqxZe0BioSrSxqSNhCzJBIypqc48wx0ikRUhZNf7vFx75Uq4wYq6mjw0eDtYph3AmSMFQsugWuXuJOL1GmYug0KvdE37JcGGLYQR7xYyJGxThqwugJfsRoKdY29DvGwdP3AaMjda1oKtiFgTB6jKnQ2uKcIfsipaMm3x4x/pH7p6bxfW823Msoz/ODkQVQ/qa5Zj+HynwhRkcBA+Q4U6bL/teZcIrpPk4e/+Q8GXMwJ2QxEGIIuNZxfHLGYrWgbmrhjaSI1ogOxeT5qQL3KzXPWSkKUVubSUmy3JO9t8ikmBtzQmqIZPq+L/dDdGXqukYpRVXVWCsiUugpa8ShtWYYRrIBpW2p+hvph3GWrZcMCRiHnrHvWN/C5eWC5dJyfnEuSI11fP3VV3Rdx93tNVpr6qqiXTQ0TY3K+2c02VZTrohiwoGmsfnWYH10rB6O1w9p75uHp3v/odPMjzUf/WADIUZhKKe0DxPMHry1kvakU2HAKgbvRZgi76UNVBls1lrJAc5WUpugLMqlxnueJry0r+ewr3ZUwhcKlCHHBDGwXB1hnWM3DISU8Cnzt//6b/n8yy/JWjS8tTVYV0k5lwLZfUiBi8kgmAopPfxsapPlfhiGSFmzT958ewF6bOHXWs+ZFIfaDFP8bDJmphzt6fcmA+Z91/GwfajB8BDyftf33/fvQ4b3u6zgh4vd4fP50MHw8JlOvzO96vv4ovRhv5eInTJY4kH46/C7h7yVh7/x2PW969y/izH2rn46XcvDa4JMyJ308wzCL1fEbKWgGpGIQaR6TTHOFboqE3z0qCQpeauzU+rGEoYNeexh7Om9qBNWiyUqVIRY4X0JI+ZQDIQi16wMxklG0cT282Pg9ptrdCHB2f9/e3/yLEtypXliv6OqZubDHd78IgIRgUwkqxJVnVUU4YYtLdwUuWOzpf5OUrhocstuaZFukeaKkqwiWd1AooAEEEAMb7yTu9ugqlwcVTVzv+53eO9FILvkaoS/626zqanp+c53pkYwQ2Tdh+QxH6lrS1U5ZosZs3lLXa856r9HUPPBxdsZ1hr+w7+/Yr6YcXpyQtttGPqO84sLFvMFR0dHWFsTI2w2Pa9fveWH71/z29/+gcuLFQwdtQnYxrBedXS+YxPWONto1r10yTFM5ovUL9YITVXhrKNpKmrn2Gw2rDdrjEC1dAQf6LqOyllCMNor/cDQdxo9UVUsbJMY7hGAaDSC12RVifOxCWSEiVkgFNOvzsthGOhjp0I4+Xhs1ht8/4YvXr7E24r/8X/8f+pzPTpitdJU8nXlNOS775k1MyrncM0Yop3sKkSJykAQiSVCQwjRq9CPEd8Hzt+fFZDUrje4ynF1dUXTzKmrmvlygatq6tkcrRSszBNp3jci1M5yerwseSQGrxFhfdeWZ/H29Ssuzq549/YNx8fHvHjxnP/q//Rfsl6v+Hf/7t/xhz/+gf/63/+/+frrL/niiy/4N/+H/72ae5xl066JRIxz6Z33dO26zPV93zIMPU3TFDA0fS/v0m6bk6fHyn+zolre5B9RQcntEzII11kEoNDuhaaJI7Idtf7RIzizAGVQiBR0h4SEpCNblQjLuVJnZprOjIJGjGE+m/N4seTJ02ecnj4iRqEfBjabNtGpcv36b2r7IF0WbmyTUrKzfrez9mmGd9WID2no+7Y91O7jGHkbe3HTea9rtPsp8ru2+1zLLpjZp21vveB3BEm3gYLdbfeDqptZnNvMDvvubfdaRqYv65yClsDN8UQmGxlSeXUtClSK7BDV8z65y7u6gtBQNY1mVAyDro8h0dGOnM5O7crp+FkrTWbDGBPJ5/Vv10dsBBsgGEF8Yj1MxEjEB+iTeWLwA1XV0/VviFEn3uXRkso5PAO+62GIrDcr+r5jvV6zWbWsLlfKaEQheOHduzMuzs7p1i2h91RGgbaPkV46hMgQAsbG4uNe2ECRZDqotJaCEYxRr3g/DAwROoS+6+mcw4fA4Af6wbBpN9iUXC0mfyxJDGYoGvzUbJsqETLOoWqejYVd0Gkz019S/LTYeQ9jArtNU3N0tFQTSVQQIhIxJiltKGOQzSqqkGzzGfm8+okpv4NXvweSYyOCDzo3B5NSSiXFJ0exucoRo7K/RBDrU/bJPDcXN0Y1aSXTjhGtbGnU3qFVKgfwvqdylsViznJxirNHfP7ZZ7TtmnVKmnV+fs5vfvMPPHnyhEePTglRfSycZCAkWl46Rrq2U/BgLF0/IOhY3feuHvr9Ict33+ddRerQsf7iJoYy8OLkJ2NEQixIYPw+nRR1DJuCEPfbejKSUqQqBiQm/bvQcjFZEUaNzjqH9wM+RGwz49nzF/zNP//nfPGzLzk5OaWPsNq0bPoBY69rf3e9/WmTPetk5/vHtEMC9r4D5J96u4/ZYHe/Q+Bgmgp7F4zs9mPZZmdinbapvfjHcBD6MdoIDlTwkKjfSCRKUKEpIdmwE2iOpAI+4JoZ4iHSI9QIgWq2UM3W95im0TrIMSC2QoIjRk+MRhP9hNydKUkQjCGBQ04cZBmGqLkVQroOA9nZrhpUeLcdOBcx0tFe/U7j5fuOR48esVwuefHiGRergbPXF6xWlwx+wFaOruvYbDasrtbECLPZEUPn6dqe2EUqHLOqJpiINxHvIkPU8tNRO5FQWKSoWrW1zJo6ZVOMpfDP+nKltQlmc9brNcYI7XyOplILdO2mKEdV5WiamnqmdHv2d8oOoHHrv5Cez/42NUSMJg4KG0bIQDAwnzecBE9d5XTyPdYI1jgWM3UatRN2rG17iJQyx7J1Vkn1IgQvkYhBojpc5rGkuTcCAxPHaZJflxiqSsMPrdMS181sTgStpZOATQhefRACOtaAygo4BSSryxXBb+hrHaOg9zebzfjlP/9nvHjxlF/84q/4h3/4B96/f8f//f/2X/Of/d3f8ctf/pLjkyOqqqKJ85IEbD5b0LYtb9+/ZXmktUXenZ0hMTJL0RilF/bMBbvLnPskAYR3ah/KUsKnYhAYUy0XYIBMtIMcyYAK9OwrEMs/IIrmkcw2ZivQqG0UxEhCrxKzgqO1wPNLIOoRW1tH73UyPFouefHyJX/7y7/l+PQRrm7oWy0P2vYDs/lMQQIfJ8RvQnN5vf69Tj3f9PumdpPT2l2P9WMAiftq9fn3TeaWm45xiEnJy/fVytgHDKbAQa3nbK2bbnNX88ztfRGvDby7sEkf8myjaCjj+LJJeZFFYpLHHtX/RDPn+UFluO8wSXDVqSZyFyPrXtPkOnFIZSF4rIhWE0jyPwS1bYeoiXViJJXnzRpn0qDFqTYdkx0bdRzLpZWd0zLImkLAUznDzz/7gsV8zmKpk3fTVDx68oh+6Flv1pzZc/q+06yqV2dcnV8RQqUFj3yNiQEnFZUIA57YC34I+N5Db5DBYoKhjxEvfZknMtMZQqBr2xyAADFiEGZNg7OaPtlHZQ6891gjeCP0fkCihkq7yhbHPIBuGMZxkVgXBQXJZGNyakNVnOJkLs1DancMxAQMgviUJlFwRqit4IzOuCZ6rFNn7do5BvFEbws74BObICV0cxy6ISt9yUQs3o+Mbpm5UxREiAQ7EH3KJul6Yoga4dF1GKfVPYFUFjwmuaLny8I7RlN0Tb1/kHlNCOrn1Xcb3r7paDcrZrMZT589pXKWLz5/CQTen73HNY43r1/zP/z3/z3/xf/uv+D00SPEWppZQ2Uruq4jxsjJyQkhBjZtj7UVEj1+j7ng0Jycf+9Gvd237VNu9jGTh8zldzGhwyfMpDglEsbvCSTk7ZiOWSl/CgUmk7CSmNdNUy9zTYALFE9fnesSyBCDsY4+aCWz2WzGyYlWBAvGqIZkNHRHJyk9/afQA+/y4MoN7qy/q3A5pL3e5MX6MUjyvu0+5933fZ/Qv+14t+2zr092hf11oX/dL+Em1uauJp5r200m2Q95Znd/tultklQydbJc1HiQ9VPUMU0Bg08Ott73xKiFhcRp2tx2GFh3PatNz3Je44wB8WA81iS7dNRFEjQMMgigOZXwBHWO9OpM7KzFe0kZS0OZN8Tk/AE5HTEQI3UVmX11xOPTJ3z22Wdlm+Xxkk23wXDJ0AutadlsNkR/RbeOKnyMRYJLoChgRW37vffEPhJ6QYLVegdAn8ohu+Sxn2n3mJwsRTS5kFZ2NFSlJHK+n7GscoyxMBEmlXg2KStrSIJ4nBzTGCkJ1rYZhMwrFEfErec9GQ9ZA0/ptlNcJUZzaeo8GwPOuJRIyxBDGGn+GMs8O/W5kXwtccytEX0sSptuJ1ixSVEUIgMh6DjUseU118YwKAhxFmsdVd2UOhbKPkxSW6fjxq17BqksMVh8CPRDR7fpads1zayhmVecnJxwvDzm+fOnzOYN63bN7373W/70pz/z/t07rNPS3HVdI2KKQK2bhvVmTd8PWKtFn0IqMLX1lt3AItxmLvzQts88O1WMpu0nAwghahbFTF1lbUEvLBZHxHzZebAoeyk6QAtr4CHZQdWrUY+b3q9kz8rCN5kUklAvFjiJxQvWVRV9hGgsp48fcXJ6ymy+4GK1ph0GXFVjHFRNSPaxoOj/nyhbvCv48kt60/b/1NtPBQ5gv5PiFMztE/xTR9JdZ6H79O+tbEDWEO/RPvT5RqoJBMhMiSS9VBjdZ0OhqE1UG/l6dYkVza5ogE3b8bs/fMv66pJuteYXf/VXVLMZ7WaDuBVUXVF8JYIJor4Ig0MGj49ePf+D5lARMWBmBD8weE/bpXkkSKqGaJRhiFHDJL3HSsvv7J+p/nbJv/oXXxGix4eBs/fnyYduyfFyTl21vH79j7QbByyw0mDEEkKjqdGjUuMSB0LfqaNzDMyqGaY2OFMR12f07WV592yylSuL4BOrgBZwslpOW5M+tVouu2uZz+cwn9HUlWZ6NcJiNqduapxzbLpW56Po9Ils4VXtSJGI+JhAQ/Lr2gIM2tQVIaQ5OTCEAZCSywB6LmPP+XpFHFoIqsUbUXAQfJdCGgecrRBrMfM5OvSEPLtnc0tE53wFKSPbAWDFYrPESeBIHc491jtMb1PKaYurNhhRFqPvOw0LrSuaZo6raprFrDhkZwV0GDTENviAH1q8z5Ih4mwkxo6u7fnu22+4uFhydq4p9l88f8LPvvycr7/+kj/84Q/8N//t/4Oj42P+j//lf5Xy8gTm8zk+BNYbLfDV9z3Pn78g+I5Vt7n/O3iAfbyp3dc/K5/nL2tiyBdQgMGUVciTtn50EpTr82AkzSDqziiJedimfUkfmfzNWvj4EVE6UjKDmib+WdPgnEtsQYpNFlOQ6abvNCLCbCPRW5vs62xJr048uCyzK9N+3O3Xa920ByBM/+5+37fPTcfebfcZwB9Gq19ffhdzwaH9bzMxTJcfouh2l0+dv6bb7h7jpvu76T7HY93cX3c1Mdzp2YqFmCnOlM00Fm6BPPFrGCSahz9ZIdQMoTns267n8mrNqzdnBD9QiaVZnDBfLNl0b4nSju+o6Cse0DwoJhiizWAred3HgGASEMiC0VLUw2CU+UgaY/DgB4gE3p9dcH5+xXrd0syalN10hRCxBurGYWyNMTXW1VTVnE3bQ/T0lTIBBgUf6nAYiX4o7H6MUgqwTcu1x1xzRTQzn+aCUMAzRLWlB+8ZhlQ5M+UJMNZS1XUqP2xSPgR9Jj5McqUwnY/yc8pz62Tcb/kjaAQBZXwqMxvxZL+SESwb2kHDAwUFRMEPhGFQ50IrmvSJNJcawWImGnt2OtVJXk3CY3bFrXGI5ksgMUpFdYwjeJdhTA1tTEBMQNZrrHNUQc0VIUZcZdMcDogZTQ4xcWEmIBN63Zg0A4vgh471GnyKOmlmc06s4ehoyc9+9gVff/01/TDwq1/9Siv8Pn9WWCAfAs5ViFjatkuRK4fZgn3LPoZBOOSYuDuXfar2CQHCvoqO7PxNJGZSKcqYTkA002MkqkwHm7IMOjhVszHR6GSSOysdIqOIPBBCWmaMYblc4qqKTbtJWccoCUtMVbEZen0x7f0cznaprbR0azLNy7ZUgahXfR/6vWgKMW4NkH3hebv73nbsT9nuc967mgPuAhJu22f394cg+Px3F5TcV5hf3ybuBQm373e/7SIQQ02mKyQ5y5miBaqjIBENP4w6mp2gfj5RcGKpbMXbd5e8ev2ef/zme44WC14+e8bx0y84Ojri7UVHZE1+O7PpzwjEoMBAEKhrRDwiHiM6iRtjCVb9FYxkT0WQaDExAYRAKtSiAvWHV294/Pg1r354wxc/+xmzZo6rZkl4CYvjI5q+p6rnNI1ntoDXb//EZtMyq2Y09YxZM1MtWaDqheg7/KDlh2MIdNGDQF2lksVB07k7p74DTZXrsnj6rscPA5u1apfKgDY4l5mFWpM8GRnTLhuFZ8OgmRJd06QpY9+zjCXKIUICCElIMFKrsWj56W9OiU2auwKs+0s2m0usREwMhL5jEHUqFQdE0QJeBowVhEo19ZweOiofpf4innRicrWd0kQ0rXICEnnu1NtQXxQGQYJS+sYaMIa+bxUgdA3eB+qmxxhSQagG41IBPqN3H41lsIEYPIPvETFYo6GxIPSD5+rynPfvBy4vz5nNFmy6Fzx6/IjnL/6G08eP+O3v/pH/8//l/8q/+tf/mn/+t3+r/hh1DcZo9k7reP36NYJnUd8e3rxPcbtvmx5iFxz8WGaLT+eDEEk2qhxfvQsUNOOXGJu055H+KTaq5N2aKUlIQztNLiKqfQQJav8jhUflo2TaIL1oOS+DdY758oi6afSm6xqbKFUfAtH7UlDqU7fdh7cP9e1uf9P63XYXh8j7HO9j28fe048FDuAw07LPUXFfO+TrEeNo5/swcJBx8c19d1O787ONIDQTBkvT6kpUm7SJAYNm0iOGAnQjFixUVYOgduDXr9/z7XdvWIfI89MnfPWLf8HnX/0z5rM5b8463Dpg2ytGgZH6C7ASEBPBaMpjJwFvMhUu4ANihVhbLWNcbOa5/oAmAFKl27JwC9phw6//46+Znyx4NnOcPn7EptPKrF0Y6KPHzWr8VeRqs0Ks4GpHkECw+rFVQwxgeg2PDJ2nDy1+8HRdD7UgjvLMQ/D4QZ0W24TTJY65/WOE+XzGkyenPD495uhoyc9//lcslwuOj5YMQ4f3Wuwop3sHBf3KgugDGMd4ctqMkzoaWYPPIC8J5zJGJdv5Q5nncqhiDGBrYTlvePHsMZdXKy4urohhYOgjlauwxmGdJdOrIY0L2TIRKxBTU1VAknNpyCZjQKNQzM47M0EJKLgixAJ4JESwVlNE0xHXkbbb0A8dVVXTzJoEBh1V05SU+CcnNSFGVqsVw+C1MFfokwlEoxoQ9U+IbeTduzcMfmDTdhwdH/OLX/yCf/tv/y1/+vOf+fu//3uGYeDZ8+d8/fO/xlplUIx1GKQkosrtNnDwU7ZdH7Xp8ru0T+ukSNGdE2CYsAdMJ7HR81XGA00YAMhot6xPpoU4iWTIgzTpKPnQZBJOUagOmGY206qMpMpqxuB9uvZM6X1kP4yXehehfX2b+wjCfJ5DmvB9wcF1yvvjB/Vd6e99930fkHCXfeDmF/eg8+HOJU+dGvddz6Fz33YP+7r7LuPh0LpDx9Fx51RgoBJCqWUYHYRzad9EGcf8shoqV2t42RC4uFhxdn5JNI7Z8oSnL77g+NFzmmbG8vgpxDNMp6A8Jto9TxSCxyShIiZnYUgpg4egMfhWCE5SAaCkocYRRxmjVZ8Foa4rhjDw6u0rLlcXnAwnHC1P6ONANKTEQoGqqRBn8HHAOK0vEUIkGv2IVc94caKZ0C0a9ile94kGDQ1Nd5WFeowgic5GStrkqqpYLOY8efKYp48fcXx8xOMnj5nPGuazGeuN0PfC0PVJaPqRyreWMqvGCUhIj2R7WYpOSJkU83DKJlcFAzJGjSQGJARwswpTNzx6dIIxQt+1tF3QfABoWLk1Fp8qfsaQEl2hFSqlnDGkux8HtBTJADlVM5NrI+pzzXN2Aa3pejFqdopRI2lCF1KFysBQ9/igEQR1aDCpaJ61kapWp0/vHUagi1p7hKj+G8aAjQpIvBfWm5UWAhNheXTM0fKIX/7yl5ydn/PNn/7E27dvqetmUk8HTTqFJAaM6/fG/mX7WNO7tOkctU/e7JMFf3mAMAUEMZbyzrrseoGgrYssQysJ/XyDMabBNKXS1ecg33BxUoQ02ZFKhaZsilHjak9OHnHy6AnPnz3j6Ph4pLQSOPAh4IcU33yDw9+NffAJNPMPPcZt1NVPwRp8qnPdJuD3LbvrPnkc3fQC7QUIfnvf6WcfM3GX6z60/qdQNCIQYs0YneFVK48GwSMMSSYpBDdR9UCxaneVIKwv17x9+45v/vQ9r16957MnX/LXX/+SX/5n/xuOH7/EGMfXf/N3rL+JrDfvCkXvwzAWFvKDCnwGzeUokcrlMMANlpSUqElOijbtV2oESBJc6rMwa2Ygnrfn3/PHb39Lx5qf2a+U1p6DOI8DXn75lN5seL95C3Wk6wY2V2twAS89wWo5ZNMEajQbbDNfKIPQVmz6gX4IxcPfiWHw6mcQAecMs7rh5OSY+XzO6ckRJyfHvHz5kkenxyzmc46Pj1WgB1/GzpASC0XvaZoG6yqauk6z65it0XtNR53TGGdNPJH8qRw9ieXJAyoJ2DCGlfY5o62P/Oxnn3P85Ignpye8efuO3//xj/zww1vW6xY7Udj84JWxtZWW2c61HbJulmrLmOSDIKgvSZYRNjNJCdBMKyiG/E5oRSgkRKLxxGA0KiZt4ztlAfoUBlnVG/q+p65rfOixrqKqK2Z1ndLmC7N5xWxeayROgGFQ1iWEyBBSzwXPenVF27b88OoVR0cn/LO//Rf8m3/zb/jf/uf/Of/tf/Pf8bvf/Z6A4Wc/+5KnT59yenpK9C3D5uzTvqSfsB1yZL/JuX3aPlEmxfxtsnzKLBTaS5tIhgWTo8S0Yo/Wtzufqslhm40oGvlU+YuR+XzOyckJi+WCqq7xweNTXgZxapOKUcOrzDTM8iParuDYq+V/oCw9JJSm57kNJNzXjPGXaHc1L9y07+73DwIIXB+Ph+x/97mWT9Xu/WwVCROjaqflLYxqO5Zk/pOYjX8gUcPTRAx917O6WvH2zXsuL6/ouoEnT17y6PFTjk8epxoLwqPHzzDvTuntHGFItHRHxGuOE60yhISRR8whzapFp5BBo8yCt0oLhwlAsE5ZBmuhnrkyL6zbFe/P3jJ7N2O2mLNYLhGrFvFmUdPMa2bzSnM7SKRtUT8HCUQTRic3ExEbNUzLBqJ4LeKWi6zFCNbSpDFRN466rjla6Jwzn884Wi6ZzWrqui5OiOv1OtVD6BmGjiGXMC7MiNGicYlB0OlTHSQlVcucOs5mpidXdlSAsGunTnkovKYn9smsGnykrmqOj45YLo6wznJ5ecXV5UZzVUBiSTT0MEaoXF3MuZlc2qKDxaDOqVq5t5gYohD9WI9m67PF2uWaFlCcHwViSvCVlVFSJsi+1zDDzWaDdQOD14qbrtJQTQzq+BrRCplCYlwyQ6Y3EFKf2Ep9P66urkqo4xdffM5603Fxccm7d+8A4bPPP0eM+6D3+sPmgm3G8y7H+IszCJlBKg8tL56Ag0SSMU4BMg6qfIz9h721KVkgO4CD8vCPj495+vQpx8cniLVshoF2CASExfExmaUoxZUYX7DbT37L+hHD7LmZyH0f+G3C6G4Xs3XA/d/zOfYKmHj9dqbLyooDxz4otG5oaYLc3ncvJ7/zc9xHJ8ztRBdTQHANJNxySdP97ssY7GXT5H6MyX2W7ZoYIg7QlMi6JP+rDoCmvKOaETFiNAGSGC7XF5y/P+fbb3/g/ftzum7g8y9+xouXn3N6+oSzizUS4LPPP4PXT1i5JUMctERxCpuTAOKH9HwMOZGuCkDV5iQpqCKa7U9T9aqGLaLrqkqoKoNzkWahlRHruma9uaR73TKYgWcvnrM8XSJWAcesqpkvGxbLmdLTJnC1Rs0sZgCrodbGRsQmB0kzaNglPbaaU5um+JxYoGka6rrmydNHLOZzHj86Ybk8omkaZrNanRU3a2LS3C8vLzUFc9+mDK7jM8q+B865YmIIIXkeCBBNYnyuP+/CJmwBBAE8qQK1hiymQksZIMxmNY9OT1gcHTNfzNmsO96fXdB1PeuNxwdNad33gBgaY0EMQcZ5XM2/CtCKAifo7zzyQiREn0y6GdTE8r28dSHosTXNJmHP/RJHQNT3/dh/CVhZIzSxhqrC2O35Z1rDobwBYgje42Pg9PETXNXw5vVrZosFdTPjX/7Lf8nbd+/5//6H/4kQIhfnV7z87PPkj5CVmenUeV2R+xh2d59ism+bfWbVvyiDoJmy0niIqdphEhhCBKMDPF+2j0pp+iTQM9Wjtq1spwwl9CqTDyFackUwiOS6TCGfKaL540UzMmrVr0i1aJgfL9R+CFgn6pGNOkqFoWdoN+oRKyZBTNgrIqbCZTKtZnrvYIt7jifXtYCbGIdCxR1IcHFo8AmRaudiFLiNfhe67dRJM04mFwr02j+ex4X66GV7TYzX/k7Xme1DZPZxi3nK4GDcfxriOt1+PE8MYet8IFg7VXP0vDI9f/qxzR+McGhKiY7XO07sMWpeeaV549b63e2vLQv6rhza7tB++8bDTfsKERfPVNDk0DdCKvyjvweT3zkFEzEarnpLiMJgTzkbzvjz+5bLweDqOV//zV9x9GjG+eo7hrDBWkPb9TTPLC//17/kt7/5DednZ5xdvMcJqDN5j0SPjQPOgJWI7zrE9BxVaNlgEUQsMTq8r3HM8EYLTIkxOGdxKR2vmAZjKqxVRzUjhs15z1m8wAzf8/j0VL3QRTj2c748+oyVrNjUGxZry2a9ob3aIF2LiKERwQ6C88KqHYj9QN17lktYzA2z2YK6rlkutBKighMNVXQ2YvwKv9nQ9lYF0tBz1cvWOIpEbCpVbCsNr7TWYCpHsNAO5/qMk1+GD4Fh6PFDEthDX4RdZlZsrp0Qoe97Bp8Aj2jOhjb09Glfay2z5RyzbAiLitZF3MmCz//may7jwOzxCb/5ze/x7cAQAvVyjjFVmSKFFLY4tY2T55b8vobCIAAMxpbwzTQ6R5WxTL1j1IsgxJDNJZqdUuW5ZvmUlOvA+4GuH9PtN+IIs4BvEpCsLZWrcFaorKEfNBlW13YpmVKLsQ5rLGevXmFdxdHxCa3vCJuK00dPeHI852//+ku+/fY7Xv35Db//hyMePzrlxYunrFZXdH2PtY6h71mt18yaBmtNSgutbEfdVGWuoPTY1tt67X3Wdxg0KeVh1eUQQ/oxzOXHMwipLKOyNknvz7O1xC1FOU2zSV9IFR1DSKnY836hpFnNE7h+TUMyTmy1MjmwKIzVtKypCIuArRxV7dSzNgm+HE5kiBA90fcaQlXOMbIRW45su0I+TpffT7PfPdauTXsfEjzk3HKzQEipXycDL+P1jODLs5sKtX2D7Yb7KVrL5PcEgWz/nXzfEsbpGDl8a/e6mLxUghSLVBkjcXLe6fnTPga5/gy3bmL3nkZ4cJOPQ263RUHc9Oy2wczhffYxA/dlMGzsUMNxKDUBNHY9pP80n30QjTgKWAavRY1CNKx6uFj3eCyzZs7p41OqxrLpLjFo5lLvHXYuLJ4/Rb79Br++YB0HKiAYcCammpFgcrEdBqx4KicpIZKyGjEm17cEnAMWsRZnK6ypSol2Y5yCBOP0HfdCtxm4fH9JIzWh0ZoCpheO3ALXGJro2FSXyCbgfYsErRhpnYOgLEotFmvB1rBsHMuZ4+hoRtOor0GVEhzllgsvhQC9T+9t8h8oY0nUETHPhcYI1qlDNVap+SF0BUxk34Fh6FO9BJ8AQiy5XUKMzGwFIvgY6L2nH4aUcAiwRivaeq0rYZzFNQ6pDNEZvERsU3H85BGPnz+lj5HqT9/Re43mkJyYKI7ZD2VCJ4okBkjGolwaqFA2IJrDTN1hJ+JsZp74AOV3WZGshpxOckH0bYeIQXAIFmsCWpzUpMJLOlt5M6i8CQFjtdDW1brFDgND00DwxKFHTk9pKsvTRye8ff2Ks6Hj/ZtXVAZevnxOck3FiCXGgaH3xFqvJz+fYfBUdbUzl+8DCIdAwn6tf9dx8VNGTXzyihHqNfvhiGVypD3fts9TNMAdPwWB4gWcM5qNHb9D02zJkO31P2bbZQl+Kl+AKciY/r2LAPxLtr/Udf1U9sWfZtSNz3rK8+TJfATyo843AmWd9N++e8e7d2959+4dT5485vnzp1o62TnatmW50JK5IQYqY3HNjBcvP6OuatrVim59SduuqBqrsekSiX1L37UM/YAQNIGQmJTGODvYCWIjNkSCOIyx2EqLGllrqecOa1VLns0aKqfmhhgC68srfvv2HcTIfLFgMZtztFymNLrC8uiopB/uui6xmhqHb13DyckJzjlms1lK4BSpawUFrlZ+LgvtzOpIUlisVc94sSZFYozCEhnLhG+VChf1hMrUeYyRoc9CRjNM+uAn5cdjAQiZmWj7jn4YSsnmfGwffCk1bK1lPl9qNknvccZRVxXzWc2XX37JcnnMu7cXfP/da/60+o623eBd4NHpUzabjqvLlZrt0sCpqko/jQrBruuK9nxXSntfGyMHrkcPmVQJczciqW27EnHh/ZBMKprkyNXJoCEaZWKtw1VRs0QaS0SB1Pn5OdZaqqpifqROp0+ePOFvfgFPnz7jm2++oes7qqbm6OiIuq7LtWSfExEN0c0fkyh/7z2HgMB92z5Zsi/a4UPax5sYZNTkdpcntSgt0D+7MjmT9Lv7JpA9om1k58azc2I+iqTtVL80CM6ZlIAkl5zNp9v2j5jSY5NLTee5rtV/KoR2X83vtmPsPV4xDxz+u+/7h1FTH9Yvh+7hoNnkI/r/pwYa+8xGWwxPuZcPGwt3ZRHG31MwPQECk5LOGT7E/K7EnMQp8P7dO87OztlsNpyenvD8+XPm8zkiGoFgEk2uYwkQw8npI4wIZ+/ecPEucjV0E3+QULRgRDBicc7sAIRkjxaNqlCA4LBVpXH6zlI5nYxNevetMcyaRjVLOyjdPgysrq4Ig0YdzGYzYtBqjM1sRvCBqiRBGk03rlbB18xmxDhA8Oo7MNGGp8/WpHLNIqKOhon23noeaVnJyjj5ZPLLew1FjHGsVeGD19wL2ckw5HwMYZzTQiyAJaSiSYFYnPpCSFEY1lFVValkG2LQqBURFvMFMcDLFy/xfeTs/QWbTV+o8hgDZpKXfrwOj0hdmNrcL/kc0xF5H+e5Q+N/FxzkbYehL6NbkzopGPMhaGhmekbWWmUOkllaQYRDgjJK+R5WqxUxalGt5XKBqxzff/8dfd/zww8/FCCxG+U0LRA3ZQ5uNjHc/K7f1j7WrDBtn4hB2BbywpiiVgWwLtdSslMwMZ0cU26EzAzIOKlmhjwPsHGvcV0BB+mvEaMaTKoIpt0eCzjQr3ohBd1OJtt9g24flfOhmvdt7MGtgv+O6wtlz/b2uwN113zxQeDgA8bkfe5zuuxDQMJ99/uxwMRtL/B9++SuACstBLK/SfqeTYFMAOUOkAYVWD/88ANv375ltVrx9OmzpGku6fsN/bApWrz3AZsE3uOnT1ksFlxenBP9QLteqQMg6nvkg4KLSgzGClXltgECgg2C8UFD/MRhrMNVdXq/bUm9G31QgCCGxWyertuzWa8Z+p6rqyu6tmWzXvPkyRNcEpKLxYKqqug7rT3Qtm0RvLaq1MegqfEDeB81pHoiDDILkB7w+Nua7fetDALKfiKiyd3UullMa5rcZ/KJQdmD8gml/7IgyizGMAxp/5EhGhkHT1XVWKtRF9ZoVsvgAyEBxeVyyaye8dWXXxGD8P7dGd9//5a26+n7Vr39XTY1ZBrdE8K0P0YlzjntL++vK4P7vu8b37tzcH6Pcr9P5+Wu65EEkobBM6TzumEgIoXtsNYlMGdZtx1911E1c0xyfrQp2+7l5QV93+Oc48mTJzx5+oTf/va3XFxe8s0333B8fFxYhHxtIeScCyN7EtJzGK933zxwfdk+E/NdWIPdfXb79Lb26UwMiTLDp0mmsGXbgkPSP9mZTQGAST4Jo/aSd8pibmqzCrkz8mlEyjbqxpjyuVcaXlRVlU4eyREspvPkB1TQHpEPIcI+lIb+EA/4e58nC4EbmIN9WQDvL4Cn0O3TtkOD/J9q+5Q2wJvaTaDupnEVQg5vTIFjMWqioPLOKWBQ97IAWLquY7Va8cc/fsPZ2Tmz2YyXL1/yxRdfKFVvIiH22OSAFoKni+ro+Oj4GGsrPv/yS4xobYTV+zf4rmXTb3ToWBX01ghipQAEI8nEkDRuEwGjlfZsZahS6mIt5WKQKikFRr3SXVUxaxrqzz5n6HvOzs5oW63qeHZ2poyHsVhraOZzlsulXv/E8a9KZoymqRm6Db7vknDRELjsA5GfRwiBIfhiqph6khcfXlFlxiQQlYFC3j/EkCpoqpeIT75ZhZnZfdfS+bth1PJD1KeXwQRoLgSMxVZ1UZyIUf3IxOD7gU2/SqF+hpcvn6faGBZrf8Pbt+85e39BVdXUzYyqqiHCZtON9953GJuddgVXqXYNQgg3Vz7c9+5MtfBd5Wwfs6t9FJAgJS+Epg+PuKpKz1cTeFXGYiGV2U6MRNSifVVVMZ/PqeuGs7NzVsMlbdsWcPHzr7/i+x9e8T/96le8efMGay0/+9nPEjjQZydCAQ054qLv4yRL5rW3dN/CdI9h67nfReH52Hnz0wAESQzCdOBesxwkmjIDBplsVDIm7mjmuyYExl1j3BlYeYtMaaVwIevUM7W8CBNq5xplHRPBukdwHxqIH9Puiu4+RtvUx3IYHHw6BuHD2z7EeyMr8hObGD5kn0OOQ4fuYZpUbN95D13DvfdJzEFMiZDKf3H8ToEPI4PQ9wObTcv5xTl93zOfzzk+PmK5PCpx+01Tq+NdJGUXhCFqpJG1jsXREUfHJ6yvLmkvL/B9zxCUaTBWhb4pAlQgOyoKCfgnpcCkSopGsKmWAWiosnMOZxRcBO/BWgSYz2aEuiYEnzzLQ4qfjyrkxCkNbnVf62xhWbKZUgorYAtDYFNYXQYARZglgZSfgbV2zBmQ7i/K9jgocxTjexCm7+rWg5RMsxaWNYImbQqZOWByTTJJ45xAlTGq0Q4e33tlYVA/BWTAGMd8PufR6Qntyxf88P0b+q7n7P15En5R80IgOGdHViNoUaiYHqMxI0C6zazwqcG1CmaPH2CwA4gw9L32wTBgq7B1bfo991MGjwk8DJ4+sUt933N8fMzl1RUAq9WKs7MzPvvss2sK1zRqIfTaP865CYu3dcV7lu2uv38f3GXZvvZJfBCmYEB/SqHTAhk/ZPvTzsS4c6xsWijl43ZQkpRj6kSUJ45sY8pxrdZZ5vN5ilGu9JgxkL1vI+PLXND9hL+4a/tQQfpjMwc3HXdXCB8CDD81i7BP2H3qfrjvPX1qoHTYvPDh57nXWMoYOY4QIIqyazEltdF4huRhn1Iyn5+f8/r1W968f8Px8oSvvvyKp0+fcXJyTIwDVV2zWNZ07RU+qOANUaMezq/WOGuYzZacPn2ONZar8zN88HTtCusqagvG98QY8KRkRTtWKyPjfGMFKgFnNAoihEDtHIvZTLUzY+hWK3zb0m82HB0fU9UVL148L8l1fve737FarWjbNW2bukSYODgraMgJjoggfkB8KKCh2mxKzgItPayZDr33o+mkqqhsnUwmiUXYoYcjbPk9hOD3Kilk3w1Jgk00akui+mesN5tEbYsyKgLdEIoG65yjTsyHiLBerzl7f0awnhcvP0/gQej7AR8Di+aIp4+f8OjkMX3vOX10wnrdst5sWK2uii+DqxTweKLmvPBadAvRNM0x59woiiHX723P933rCps8+bu7j7Nuy0ckxqhRH1Ep/yyGxdgiB5wRjhZz2n4oFTX7YUCMoWkajLWsNy3n5xp++sUXX9D1Ay9fvuT9+/e8ffuW58+fl77NZpZdtjZHptx3es0pqbeX3S08/vqxfiKAMIa9qw4fxq7P/2sYYwER0/C0MalGHDcYUUDhDSj9Moqg7X/z3mp6kFS9q6JyDmvdiObzZ8JSZEooX/A+qv2QjWff7zv120cyB3ff7zozcBeAcJ/zT9uPQa7/pUwMn+K8+3xN7mJaOrRs37O8y77XvhftJe75L7MLFHbh4uKS92fvCSEwm82Sc+IseZFr6XTnLN0mEkNQOWYsIo62H+j7CMEqkK8qqnpGVc/oqwYt2hcJfkANjuMEHrMpcUJMKoOg0YC6b95rnIwlBE1+hgreYegREY1qMgab7qFtW40IGDyD1/wCkCq9TkwHIQS6vsf4gCQfABFJ+QQcxhjqulJ7ttXrN0YTTOVIhmKG1UGw9VxGtiAkBsZP2AM1K+SSD9oJee7V40o+RsopA8l7Y2K7ztdkE4DyIbLetLw/O2eQgZOTx8xmM5pmTvQ586LHJF+Fp48fE0Pk3ddn/PDDK7797nu6rsNan8BKxNgpdTwCHu8HSsaDe7II+4DA7rJdkGCtKWYO7V+SDAhbUQXD0JfjGGORZG4yxmAjCIG+77Q/RVnpvu9TEaiBqnI8e/aM8/NzLi4uePPmDcfHxxwfH+OS42zOixJjTH4ZdrymezMI92t/cYAA2/R/rjeezQbqj6ADvICJmLUDKZSaBtAacjpNyjrJLgb5zigLZHRSNCJlQlHvYVP8D5yzDFlrymi9vHzbHsjZxEA53fVJ/VPRYPcVCPvOexdKWcfhdUBwCCR8mBfsTnbMO7Z9QviQYP4U/f9TAY19YPJGpL/HyfOuYO22/pr+zuxeMTXsmBkCAcRsgYQQAufnZ7x98xZCZLFY8NlnnzGbzbHWan5+UTNCRIWUNZKy2tVcrddEPxC8BR8RW+GaGdVsQb1Z4SRgCPTtBhM1Vr4AhPT+T2YYNQGImhdyueTIaFaIqRhbcQCMkaHrkQghhSZWdc3nn39OCIG272jbVn0TuraE5eVP13X0fc+m74hxBAgR9dPI283DHOscdVMXcGFJKZNNdtgeTaHZ1yPPR6VORRz9EMb3NE1f6N+Q+iZOB42M5p0okWgym5u2EzT3QZUAgg90XYd/17PuVzx//gJnHUfLmjCAR4WpsZaqsjx7+oRZ09D1PSEGvvvuew1PNUY9+FPyqnG8hVF773VcWVvfyBDs/o5xdPLbBw4OrXPOjOAu64REiLmmhYZ7Dn1fZEJVqcOmsw7SsTdtT993uKrCGKF2lqHvuEohsdY6PvvsM37/+9+zXq/54YcfCCFwcnKSgKMUh1dQgCZ2Or/ue6/3LUvv44H5JP/eNw98zHz58SYGcoGkZLFM2Q7j1tCdgAV2MVKB1GjCFtFCICmXQiDTZbsTa9IsoLwYoy1OGYQRIDj6rt86G+Tjgcg0LOtje+TTtb0T/H0p8sQp7wMC0+Purt9H2912pk/RDmnIh7b5T6Z94C3dV0PIQEAmv4kU8wKkin3EVCZYl719+5ZXr16xXBzx+NFjXrx4QdM0CRgoTbvZbIghJopeE9KIrRBX4WPkcrPBty2h3Wg2ROcQVxO8xssbVyXbfSg118Ro/oBcXRIoGQdd+lhrECoVoINmacUa5vO5TtLOFrDQtS2D98oG5HSsgKsqxBqqpgbAJLOBEWG1WdO2HQORk8ePWVaNClY/0KU6AFGgctVokpCcKTZsmxPIU/34OxDVqTGZJXK0QTf4orRouONYZEhDHxN4CDm5VUSsPrO+74pGXFWVOn0ag3UVYi2D9/T9wNV6xcoH3JXlN+43PHr8hM8/azk+PtGiUUaIIdB1G+qm4tSd8rfV3+CsJQTPt99+z2q9Zhg6KttQ1S7VbNAieJoRM5d83jEX38H34CYQsI89yH/z/YYQ1PFcvVj1eEQdZ6nPBxEtOy4DiGE2m6WiTzUhrvAh0LVd0klNyvgbeP/2DXUzY75Y8vLlS0IIfP/994QQePbsGSLgnN0W6hOzw93BgS4/kES33PenBgfwSRiETMvvfC9ZFJNmJJlCyOqAFM22vDLFTjD5O3mdRMYwx5iPTdr1ALo0ZqQJJxdKNjHIAcrrru1TCquPpfdvO+4+IHATTX3fa/hYYuXHFvz3BVif4nru7tD6Yee6yzPbWhbzMv0Ry79MwHEsjEbWbtfrNavViqbWMsUqfG15z2Ic6PuhvFMqfFUAW+cIwdNuPEPf07cdPiYNWEQp8RBUmMcAfkg0ukxN7kl5iCnZjH7UUVEz2OW8ADlNezoEdhKSWIR2mAiZDDJM8kcSsEnYG2OovNqknbM0TcN8Nsc4gx9Uu85TX3b8s8bgo6ZIxk+egeR57roJJ8RQoh5y2KKf1izIAGELKITyvZiGEt3ig2as1XLESrdb41LFW8HHmOor9IBnCPD61WuGIdDUM2bNLNndVeELw4ARh6kMJyfHPHv2lC+++JyLiwsGr1q2hvQJORFuiB4TLWIi5dJuYAtuAgnlWd3RxMDWdmnulxxKP30dkgIVRh8JESkJjUxyeI1R6wWILcH7rK6uiECzPOL4+JjNZsMPP/zAarWi6zrq2pUXbh8rfZ+2ZSphGxDcxPjex5y5r32Sao5TtTtTWcpvpfrtAnEa37Nne0G0yltaFrb22T7ToVvTCWAcGNlxyNhs89kuNJS1p3KGn1Az/VhhfK9z6QkOAoFD1/OpPYof2qdtn2bMbHN9u2vyjHS5uuTi8pyvvvwFRymrnHPZm7+ibTtW6yvqSissqsOwxujP5gucc6wuL1hvWi4vLgj9gPeRdvCEbiAOA4uTJZaIbzcJWySbLSAmkORMyZDqnMFVajO2xqU+SX9Bk+UkRsLVFcY6zfKX/AR8qiNjrSSN3zAENR0Ym3wbDBirSddyhsiu71PCHaXsMzBwlSvSJ/Y90auzYk7KM9F6SvMxVcCIGsroo4ZIZkfK/HQykA9+BPVDqacyCgFjLRICfe8186SNLCtXMk5mbbzve9q+Z9N12OCh8/zmu1ccHx9z8f6c5WzOYrZgfjxT80q3ARMwxrJYLPn5z7/k2fOnrNdXmG8iq9UVGtUAw6AFlnrfUxmwYqgqTXl837aPIbgLgyBxHLu5ZSfXrU+MyljFQOUMs0ZNICGo+UWI1JWlS3U0BH3mILx584bFpqVeHGk570eP+Pu///vijwBBAeV8PjJYfYv3vkRG3KfFHVl1k8ly33Yf0j4BQMj2y/GCMqLOpgUp6BmmtlZFmYnSnD5PyaWX042JL+fL6TNj1m7yLoyxxIPXONOjoyMgMvS9ZkiLCuglw8io2cPCkOyItyDcQ78/FBF+DJI8tGx3vUCJtT7EIJTiMZN9i+f2va4tXBvE+/5O10/Pf2i/ci87k8C+7XY1ko8FYh/yjK75F8T9obN3OfaHskoH98vMQUzZ5iQQJWKqMdlMZufmizlXVy2vXr1i026IBk5PTjg9PeHo6AiTPMBzMpiqqpjPtG6Blmy0IFbLGntPFINYh6sc/aBFe4yr8H1HiMLF5YrKCovKocW41CdC0jhJxkyd2DN1na5X48q3NcjMbmQlYXTYC0hI/ZLGHyJgRs9/SJEEYXx+da3mh96PxbhMAgdipozoeA02pTk21qSSxSMrE0MqxLQz/rMQd64q7EBOpUzyUfAxFIfEzCrofKrsQ473B2HwQedQtdkgIlxcXqnPRdti+gHBI1GrPV5eXvLm9RstbpR8CwBcus+ua1MGSssXX3wGEnl3dkbbdbx994ZZs9BMlrOGEDR6oGlsIVB2QdI+VmB3/b0BgpEUCKdjJY8HmbACxFASS4UIbdshxuKqEYRWydTk45gtUmWPyhhE2Gw2CTA7vvjiC2KM/PnPf+brr7+iaZqtZFdiKCa5/arubdEN15mIH8M/LrePBgg6QPX71qREykyQy38mSnGyAZAHdZxMTKRCLXYiCHI2QMpksQ0QJDFIOgDwvgCECHR9TzOfM4RI6IfyogCaXjP6lHLUluiJ3XYTFXaIPrppQo9xzKi176HeRr3ddp5xwGjccxYKuwJ5FyDsm6juei7VOMPBbfftmx2Gbmt3Ebo39dm0v3+Ktu/807YvOdWhbafLdp/RTQB1L9BKQDzn9Y8SVIuuNCRNqWyIEpnPF1xcrvn+++9Zb9Zg4PT0lJOTU46PjyelbhUgNE3DbF5hTaTrN0lwWrpuQ+89IOokV9cM7UZz37saTItHeH9+wax2LJ8+IvGIJcENIWKL2cEgqR60ynidrPN4Lc6JE6FQhHgIxO10rqOWn+cPxvci0/0iWtY5dL2Gvk0o6JxVMUz7O53buQqMUtbpiRdh74Mvxy9zmUgBHZFRIRpEyyRjRmBQMilO0i4PQaMrqroqBZ58COC9JmayDhDOLy7pOvXHkNgieJqmIYbA1eUlr1+9AmCxXNLM5jSzuZphRFi3G0Q0R8DPfvY5VVPx+z/8nu9/WPH27RtevqhwbkZVNbRtx2bTMpvlsTqO2+kYvulv/n7IjLy7TE0EpPwYjM8/gaMRBEZC8vfAh9Ln85Qur67VFwUxRDEMg0++Jwocq+S4uNlsSm2Or776ijdv3vDHP/6R58+f8ejRaZnj+r5nvtDIn5yDY7fl69q9/5F5v77uNqDwFzUxgEwEtf4uF3HNtDC2VENOF+c5IG2XrTxlL8kZ1Xac53buMWsEU81Bkt9BjDvbx8i2CQMKQvmR2odqgx93UrZuad95724nv8O5HtpWO8SaXNtuT+ftY2A+xRjS2iQ5xNiUMtP5eNknwPuBoR/oug4COLHMZrMS552FczrcCMIy2AwB8EhILMCkLLpq0YlB1K3wQDcMvL+4Yl47GudoqhoxScDFgE/bmjzvSM7XEEr8f4hJeIgt86qGXao2GUUVirH/lFWIHiQJay1CmJIdpeDtTGqWveJI/0/foZKdEo0EIIpWOEz94lOth+xHEDIjkPbN/ZeXRcaEST5mMCHl3CFf7+Sa8gWLTYmPjKaf1v6KmuwnhX6GQXu/OVan03bd8rv/+Fu+/fO3nL0/4/nLF3z19de8ePmSuqnphw6xmmvm6bMnNLOGf/Wv/46jf/w9Yg1d3zKEgZPqhNmsYT6f0fadRrfsiJzb2IO87JDvwcF9p9vpg1G9UKZRMWk7GZluiYEYPTHaxCxoTxt2TRSxDIQYYyms9eTJEw2dTVESebm1luVyyeD7Elp5v7YlEe++V/wLmxiYCPNYvk8mgckHyW/XxCTBeOv53hMAL8fUGxxTax4SaBkgTEOUsl9i1nTUT2F8mfSysvlj65/tdTuTwE3t0CR+0/ebHuLH0OIlcuSAYJq2m7Teu7EIcdp1d973p2w/xflvMoEcbHHbF+AmcLCvP+88zsiOWqZMltl3mPyeZOHmNdHPMAwQldnLmtI1DTD9ztRpjNn0mMKWryH06/NDiDD4yLpt04RsqCurbKIlS23dVvJ8Mzoe5vwJpozDNJFMBUOeP4xMNPd8fZPaKhPGjZhmOckdNb3+7NC5vV9gFOzCxDSankOYfGIGB+nvCBDyNYysQabD85wWp9/zCIp5DpUEmKJiQBnNIH0y+1SuKo8meGUS+2HADwoM3797R9PUXD5+zKNHp4lFSNkRrTBrNI3wixfPubi85P3ZGa/evClhmpXVbLbd0Jdr2ho3k3Yf5mCfaWFrP8Znnn8Xi3UGjVvnng7MCCnEVM3jBUeow2L65BGQGQJjNHJmNpthrWVIfZiz+moOhbZsO46i8V635NS1eWO8n7vKjEMM40/GIKTLGBfIKPxvRjvbCTwCEyENZdbKbEB+uUPQimOaNnTb6TBT5XVTlXzZJiHm/DIduoMYx/z0n4pFmNL2d6Hbf6w2nXT2Xcs+EHToGm8U9vF6390NWPw07ac61yEBfpcxcNu+d+3Pm5gKEYMxMaX/jeSQ4tyyIOo7pYevrq7U5mwrTk5OWCwWaYJTe6xGMQieqCWbRW2tmED0PtH6ASmZfvK1kBz00A9CPwys12v8UsP46qpK4YzJVBBjYQ1CwRzCEAJGIhiDSXkZMEbz7CdAkKv3JVVQ73UqtCdZ7qYts5i7QiX/CIzG08wCZF+AMlFP3r1suvAxV2ccizGFyXaDHxPsZHNB8JRaDz6DjHQsNVuk64qxJPwZhgASaBJY8N5zebUiAu6ogihEHzl/f5ZCQDuWyyVh5rk4P1OqPoGC00ePODo51hwUVqC22Nrwi1/8nKp2NPOaf///+f9xcXFJ33da5dBWaaxJQYP30Wr3AYYb/RLQR2yn5LVoQP40n29hAoTyBDN4UwZsKGhCRKNlnBVAw1izP0JmC4wxHB0dcXp6yuPHj1mvV7x+/Zovv/yyOMz7ZNrTyo/b96nz7/T7x8uhfxIMQul2icWGH7fWUyg9nRS4vp7sV7CNBPPjnA4KjW/1hRraPp8692SAICmWe5ctyOebXkKcah4cRl/lyvcI090Jempr3t3mkB1p+nt3u93tb1tWtEK2AcIuwsz9epvWezNAoJzntmv7SzMJP0U7JOD3ATWdmK77bxz6e2jZTdeRW9agNOVsKFlOR41Z39PBD/Rdx3q9JsaIcxWLxVLD31IGxazt5IOqvT5gjaD+KB6iGgYQteUXuj8zg6h9PjuCDcPAqtXsdU1dMasrbFMrK0gGFULvIy5d+xC8OjbHqKAg1RmQGJJBgq1qieVZgDoLltBCXwBDFiLFt2HCNI4M586x4sTxMDsWogBhy+EwBIaQKyBmJ7a4lRxpyHkQEkCIccyXkPePIZkdMpOQ6IMQBYvTVMJxKAXufAj0w8Cm6/R3DCW2YL3aqK3ce46PU2ZIhM1mzQ8/fM9iOaftNphKaOIcMdB3LSGBkUePT/k6fsXZ+Tlv3rzjh1dv6IcevwoJlBqtulU0+etswm0swvT3zezCZD7N7FEa/GYcrpP1k3k3BGJ6Lsbo+DEJZGg6bfWnkai34ycJCrxXX47PP/+cs7P3dN07fv7znwPQdV0JpxwV1n0CfL+c2AcopusPyYz98/G1RXvbJ2AQxgceE5rfJkunTcaOyVpL2ke/bkvsmP+V7QGgjELKJVZoPykUXgYHmt1rtJUW8DGdsJkOjnS+PRd/G1jY6pN4XRjvCompMM7Hz+tuWrbvXDctU2XisEPc9N5uG1S7y69vM/bdbYDgrsLtU7e/xPnuItwj+/voLgDhpu+7x8vvi0iuXXL9bdVrUY/2rleAABopsFjMiw9CbiN9P6mGF7MoB3Uy0mgHkdFMmH0gokhK9ANDjPTes+46QozMUuTArGm0LLEIMQyaXiBEUrBDYRBEktd6VLODRMFk4Q07M4zeaMzC3PuSyTBGzbeQgYwAkovKyWSKiHHrd2YO9rERgVHjL06KyYveB1+ACiSWwI9goewzKdlcnBVTYawYR2duQjJ9iKZUtjFq9sRhoB8G2q7HGAUMFjBR6DYtgw/4CEZsqYK7WW+4XF2yOJox+I6Tx8cgEecM664jEqmbBScnx8wXC87Oz6nrhrfvzug6zVK5WCyLUJ7yMIdAwocAhF0WIbPOMEZy5bMX80NePplrY6qcmftcigIlWGwB0bm+0DB5T0MI1ClL55s3r7i4uCgAs23b8g6O42Lfu7pvWTIHfgKZcZf1uX26cs/7LmLr1zb8iTEWR8VpxbK8biQetoXW1iQHyfN0dExChMViznwxT5neUrrNXNmtMApMgEpOmrR90btadv6+u373vmA0d0wjBPZV+fqx2z5Ndd9174KE24DHfrbi8Po7Mx4/YvunAA52I0gmG19btg8c3PXFPwTA8jicTLcIQmCXWldbdNsmE0OMVJVjuVwym80mE/SoGGS/hpxTXaneiEXzmjgRvLEEY+kmtQ60tLN6iiMWbM2m72m7DomRtl/QNDPMfIa1TknKRNNr8TWhC31JbhNCxKAMgk2aeeUjJqojg163wfthImy1EmHMIYwRohEkJCAvAkbzIGQWX7mP0gHl2Y4VFUNxKlTsPHE+DNufIQGE4o8QAl3Xl2eSgcSQhFZM0QkapaCTWUzXUIRdfpRmFIJtKtvddQFjhL7vkWHABs9sNsd77feLs/ds1le8e/8W5yyucZycLICA/UfLyaNTHj95gqtqzc44C8znM07qhl/+8m959vw5bd/z3bff88MPr1ivV1hTMatm48jbwwDs+z6NVDgICHZBRM7EOV1nxjE6AlQpTLSg2RU1P4ZgvcfYUMxxiOTgt8n7JNhUW8Gn9MtN0/DkyRP+5//5P5TS4tknQfN2jAWidoW+zsHj8ad+CTGaPWzDj9s+CUCY6qt7tZGdbYqmGdnaXgU2W1uOrEOcdOr4AmRkKNnuKBqvXFfqTBXi6IMgcTr4FCRcM2d8gBDZFar7mIPdXAO3CdBDoGTf9jcyDOwBXweu/6brucs17/bdbee9i8D7X2I7JKRvYgSmY2X3WLcJ/btex+7y7YXj1/G9G8OzYtRw2ZxwZxsgjOPUiKZJn7IKJn9KeWZTMiGWkMWsXqbQSD/0hMGz6Xoqp0l96rrG2ojWFtCrzMyDCuIURhfTRBtSBsXgMUHnAU0HIIiM9H4Mo58ESWOMESU+TFBLieRjZ8YgT1ax9F2ME0fCHKUwnQd0o4m/QfZBiAS/XXthrMug++RcCb4oHtM5hXL8AkYmgGQ0AcEwDLRtl0LT1ZxjhgFCwFghiEEidG1PP3i6oVffglCxXq9xdYV7/5ZIxDrLyemjSUZN/RwdL/Eh8OLFi+TDsuJqpSmLZcIg3GZWmLbbTQq7LMMegJCVyjI2R/Y7fx0ZhNy/E6ZaUmGBAkS1IFiOsJvW8GiahqrSd2Wz2SgbA2gpgqyMXRc3u4Bhu20LyLvIjEPH+okZBMkjcie0cc+FFYFV+KYdAMG0D4gxoeLoSxy7lfxixpLSVUSTIEUxLJdHLJdL6rqm7Yf08mk51K1riXrBU7px9yHk7aYdfhOK2wcOMi04nex/CvZAL4jiSX1bO8SO3EXQ65cAmP3rDuz7n2q7Dzi4bf0+Fii3e2sUEXwY0lSp5oUo28cXI5go9CEw9AObzQaRBpvKBDun04bNaXiDh5QsSYyD5ClgJGKIWAPRCpUxBGsIlcU5i68s1lnEGcRq3QAxEesCQ9+laoMbRISzyzXGaFpjRwIeWAKCL06KYNM9ZbNCSFEUIarJYLA+MRZSQjLJ/RuCZoSPaQaIMWVDDEXABEU6W106BQFT5qDkOMjrmIKHfSaDbYDQDWNCppASNk2ZyVySOMZsvtBXUPuGkhdhmm5+vdlweXWp/ZL6NwwDVYzMZjMt0jTApvWE6MH21DNhMVjevn1L27VcXJxzfn7O1fqKv2lqmlmDqwwhDmzayHw+p6pq/u7v/mUxSf3q1/9A343liu8KDkaT8n7mANhaDyNzZXY08YKTtkBFvqQxwiP4gEgy/4RsHpPJnK1sgvc6lrSctT5LzY2gzrBHR1rV8e3btywWC46Pj0sIsZ7qJiCwLfD/Uu3jAYJMv8TrK0aFvaBbGBGvbjB1ztKNZCTwlE5jLLFqJ/uXBBiI5mlP6K1udCLr+tHpqCDByXWM542T5dcn4F2QsLt+X9tlDqbfnXP3Ok7e5i4DZnubpBEd2PbQeW/SVg8K/Z2+u3Hbv0D7qc5/m4Dftyyyv69uAxb7xuS+fabfvffkcMcoaUxOijWpDXc8rnpdN6UGwjjZZoDQ66RsDFYcEPChS1UXUYdFI1hncN7gvaYt9oMd06Gn9McS1GQgia2AyOADV6sVLlUgPFrMUqplDbdUZT8pKMmmHiFFO6R7N+oop+YVSfn10/1uvfupTwtwQP8CQ4RYWWIWFPm9mvR1yWkwEeTTMs6RZBqYVBWcAouS76Cs01OVGgxb80kc15GVL9BKV8kHI5jSx6COcuv1GmP0GF3X40LAxkjfdgw+0PfJ0mNAHIhE/OAVKBoYwqAVNwWOjk9oux6cw9gKYysaH0EMx8fHvHz5Eh8iF5dXXF6s6Vewq4DtjuXp9/swB9s+CCkqTa7vM5oUJj5siSHKYFISMIipv7fOFzVs1CTztuKLcX1+TpoDYq7MSx6rQX08pkz29J6ncur6nHF9+0PtzkrdLe3jAcId59ysm2eP6bww7nxGn4DRISikXNmZwhmF+eiUJKncK8bQTEwMIl3RECJT88SeCy8P4LomfRvlv3WYiUax77MvlGofNbR7nnsJ68k9TSex3eu/ybxw07GvnSv13d5LuOUaf2q72k/RbuvDa+tvARH7hH4ek3dhfsZlmt9AEFWETWT6n5TJczyG9x7n8iRpyqSqvyPeK106TU4W+uQIKVr6OeYKj8YUM0MWXHaSt8SL+g4YY5GqhkE98NfrDc5YYojqsGhFs9xleBDVz0EnktFhOU8sIfk6BFFwUOKfJIe/yejIFpOCkkHCVDjbkT3YBQfl/c6fidDPESoxjiGQWyCiOC5uLxvnxu25Y5qePgODAhBkBJwhhKLVRlINhrbFGAUYfT+UqDI/DAxDxHtwNtWjSFGhwUetTWDUnKORJIHl0Sv6YaBZLqmbOVU9U5bH1SwWxzx58gQRw6vXb6mq9/ywOiv9nts+c8Lu35sYhn3bFnYgj+U9YCJ9Yzxclj3pWU7AmMjIZpgQCSVDsILQPIbLMw6Bum6YzWas12vm8zkiUjKD7uZB2JYv199dyaz5AdmUf99FZtyn/ahOiofaDRaI/dtn550wZRpGK6C+2DnG2ZQyzzl/Qt5+H2sgH9mB+x5KOd/0Wiefn7zd85y3MRV/aSbgf8nt0BjYXXIIHOxu8yHganRSTJOOJMCcf5YQxOs1OqYtp7INISanMFFQTmDwBiOh+B9YUdOgTeWQK+sIZkjMgcVYTa9O7OmGgbpy1KYmDj1+6LlarYgh0PcdJydHVHWFqZzmWZiA4DwJRyRlaJ3YhiVXN9S/xmj4Iwk8MFmv/SFbIZBq6tz/HHbf7wIUMvQqSsp1VrGELE4BQAh4n3iBKUDYOkfSeNmv8GSAMS1YNwIES4yBrgsETRZBVdWI8QyhJwQIPTgDVWWYLxyL+YyqqfFxYLNZs+k2XFxdslwe0Q4Dz1685PmLz/A+YF0P4pjP58znCwYf+fbPP/DqT/+vrfF0k6nhpt83sQrX2u6iawBjR+jG7eeVD5KPn8e0AoQxtLGqKvq+L3LKWlOY4rxMzeSjj8719k9rbv1ogDBkb2Iy1ccEwSZ8H0cHmkBQW1l6ddShCcoQL52WNQBJr4A21WjCmE0M0dryYhi8LrRVg1hH77VOes6RmrWhmF70csWT3OyZthvbrqc2FB+LDD5CSGzIRCuIySuZXMwmCd7kr6EAcrvA94gSx3NPW9yhmMqvG7XGbdQp081FprtOrUEg5tqxxnNJAWhb15+Fze41TJdlYZR/5sn4Xk3KNZCuaZ+AzevGezogTKf9t+dMN+9yfd9dTT9Oxn8e4znFVx4P+p5Mn0C2iY7XPvahPjc9gpSxGSfPJms220A17WFH7SnbxX3RQnW7IJpgNiBamlkAA8YJxoHYqHUc0PoAiS6glHiuakzwSAw4I4izVA6CB28jRmz52PRXzR6pvkEpzZTqshhHxOCD0PYDrvf0Q8SZCmMiJq4Z0y2TPtrjGrU+IIA1NrEYdmRMyoOj0M8xjdMgkZAKWsXkoCBbc4ROdjncUqKGDFpMuQ51PgxlAEhISk+IRJ9o7GE0O6hAyc9ywiAU7XYaSm70PtPYntrjjYyFiUwECRHfBbq1L/4KJqDjwRS3f8SQCxziPfgJLsoKmQ9aMXLoBwiRs7dvaaqaRTNjPj/CNGBDwFmHs47Hx0cMTzp+/tXnXF5dsVmvWa03xBCxkzoJ3g+FBalclep9hLGvs9lZzNbLOmrR+juIyY8TSfIhIJMjSHl222byXAso19jQ6JqQkmhoQjCjM7dx6FsyjjmtPqp+OdakCqBh9C+RPLjyeMunnczJ01bYD9IzkbEgQb7vfSz3tml/P6i9S/togHDVd0QT0wPORVIA2abB1DYXi9cuoC8cSmPlCa948o73Ry5zkgVs13stsoTQR4OJBoPhqh3wUXCLE3Bzzq9aBQiuIqJgZthsypFLStZhSDm4od+hNw4h1WnLdsQpUiwPDU1JqhRq9vbNedm3AcJtLV4LRdsVAHseehSMOHLq8Im4THWVtie78Ri2oAndL++pv7ZDU9NzNJ4dQD7Zh1HYTQDCfaGBNjMRjOk4e7TtazTdpOz3tba7LM1SZnKR034odzLp17wuZ+ebnqtoeVtMoaS5Qgg+EnYdPCf/6g1MQJokeBnzOUaBQhb2W/2Qj2No5uqpHnxkGDTevi/vKUSTJkWEPjj6AMFEqKE+MlRLwcwCIQwaAeAGorVEa/DGYK2mnI2bjrjuqGrt98p2GK7AX7GWDkOkMg1OGirpMDiseOb1nNB7hsEn02HNPPkdiDGcnXd0vSXKnMePj2maCmk3BN/RD0OCBBCsTfkNAl23IcZIVVXMmobFfI5PYCLEJEgxJTzOIAoMTCTgiUYftCEiw3SMxPSOaL5+iYLBUGW62UI/9GyGMCo2HqKP4AOh19wLPmmexS8BQWydTpMVokiMJilcksL2pHjVZwaHGOm7nto5mrrGIbgQcUOgO/dcvNb+qR0cz8AZB9bqc0YQZwhdYPDQr3Xeqeqevu2wIsznDZthw2a9wTmHD5Effvd7+vNL2vdn/PVf/a9YPHrM0SmYEDAMfLZc8mw25xdffMGvf/1rfvvb3/Lr3/xH+n6gamZUtsIYy/nqooRqLk4f0cxqVpuW4HV8l/k4asi6Cv+8fCyh3Nu6lNjOjFF+/WxIyZKMIGESVphYaOcqrHPYaobYhiAVXVCAgBVCdGrOqmpM9NR+g6AFnJraYS107Yq6VtalazcMfYsQcMZOX+7xe9E5k6mL63In+H0K5SijMuCdrj8IBO4oej4aIOR0nsa4IvxA+9JERclBckITZRqMiUW7sRSnTgIRE83WJK9RBqHsm5N/mKiD2VkHxhAwzOcLrNMJoKoqrV6WkOTYRsGNjL0kKcDVYa7JCrgueHbtP1N78NZDkesPcvx+v7420WyZWabn3f0+vS8T1WlJyMIiX8MNSLLY6CZCLoRyjuzktHU8k7W2nUNl4FGuoezygU0gmq3r3+3/fc/iEHA4/DtCmILxcdzuZwdSP+05Xin1u6e/s2NUdkS7tv4OoPDQst31AniT6gMERhu5D6nUgTJ2UVQLgxRxM7FzqhAblBWzhoqKGFPBmqDx9cPQY/qgAqLY7aVU1rNOyz5XdU3TNPi+ZzbTSneaoa5XbdIPGUsV+3zbd4gxrNYr6rom+JqFjakIk/ojZU1R8+ajgxNVZBBVOZKBYYvdSe7OWsNKUlKcxOzFlJhJ/Rsm1H8CCSWageyLM/oiICbVxVLbvUSDido3kdEmXV6NdOytMMmYfBTSc8hzFlDMKPkY02cVQyi1KwStiimo+cA6VXBCDFSVSwmaIkOvzEHdgHOq3HStVjJcr1dY55jNFlR1pWYlY2jbjnfvzlguX9F2PU2zYDZfMJvN0pxhmFUVz58/1+O0HRcXl5ydndG2LcCYhEs0SmCzXmsFSoPKgjyHmv0AIVEGCg5yiv40FjLJZc3I7oz+NCkabuIPM/0ooyDEFAGj70/UyBcZHROHQdFjNi3EGNlsNnRdt6U8HvKj0GPtV0r3zf27fki7xz1kdrmrafKjAcJ2J8pYIIk8MebJelv4TwfxSOFPX4a8weSFyRqW6Ktt0oQTEwhoZjOa2ZyqrrHO4mNkmls1H3LsGjNZqgPGYtO1b19PvtZ9E/L+kMVJ+OTOWfVce1TtW1vYmhS0TaXtdcmrk52QqaatgbGz67X1+RhRygt+HYCMJoKc837r+GmtpIdcvn9MS7HEN7V9YGnXh2Xf991lYVI/IIOAvSaEKQDYc3+7Jpmt88s4me+7hpuu8TaAcG0dow9CDp3LKYFjGgMxGKLJ1u1EW0/6O2u5xjiNfReH9wN9HxgA8UpNuwAuCbks5EWk1ESwqYBNVVWau6Ru9BqHVJZb1CEua+hqQlA1wZiOdbuhXq8Bz2wRS1/KtIJsMQeOy4pgl/RepAiOmCBCETKJ7SmVZInEMCnyFJPzYRyfXyjXOrVj50uYmNNEr2lrEjdFlOnx/PZxshPj5EHnKy7PJcbEaOR9EishBoJ6caZw0AQQbAJeXrAusbxeHRVDUHbXWkmJfjz9MDD4geVyyXy+oKqbUmeh7Tq8v+DN27d4Hzh99JSIYK0bn7tznJycAPD+7ALn3nBxcUHX9RqhctRoWKa1tG3PMHQ0i5wyXwW/IEn4K0DQ+TcL+YwIUg4MyT1KMfNm5WwbIIzg1UwTKk3ydmQAkZk7IylvxAQ850JM0+fWdR1DcrbdjYrI4wKRkrFRySFzMwOQxub2siJIS9PQ4z1z+p5l+9rH+yAMgcEEjBlrpBeAEJSy9MFPEoiMtk5QjaWkF51OviGv13zqENQOJEoPxZhif4eeEKEdAs9evOTx06dKs0muz64gIWaUQZaLkd0ejlEHQRFsyfY2hhiNyTOyAxBQCm/k7XYZBjXB6ESiNtZxgN6n7daxL8vKfe1bv63dbq2bLNtdPx1/cdJv+RKKGW3yLEPSULbPsXN9e67jY9tUM98VhtO/VVVtacJlu0MAIUa6YTMK7ixAp8CgiNFxv2qSK2DUTvcI8LxAoI8dng8pA7vnug/c02SjCQhOADf4cX0W5GKo6pqjoyOMU2p0qrUYY6gqR11Zuk7TyFZVlaIUBL9p6bs2TeYJIIqyDsY5XPA0swYfBgKBeWIGNusNUdRLaQhjLHpIxvCWQDt0DCmWv21rGgRNfqRMo5Am8KAJh/q+1/MHSnnkbLrPYZbWGiqrmrg1mvDpel+qxpLfgRhHs6j3XvMfeF8KpJV5j9EBsU82aT94hqEv9RFC0HTPGvUAg5etYkwxaibF8jb5UYhlDTeX8h6GQdWfoJOwCjPNJFlVUFmoK6GqHM5oDor5fE7fd/jLc703A7O5Y75sWB4tWG/W9EPPehMItAQ5x66SJi96DGMsl5uO46N3dAM8f/6SZ8+e8/jxY8QE1ldrqsrx5Nkzfmkc7969o2ka3rx5w/n5BYhNoeuiobA+5avIHgTJ/GCiVT5ZYmE2MTYBUdXC8coE7QKEuBcgGKwT9U0RSThxAuAS/Rnz6BKUGbcGZ6uR4fFeVUwjiDVEgav1iuOuBdGaITFGrNFg3NEHZvwuE9k1BRGVc6OCmIFPBprpmgqQT99jDHtn3LvOwp88iiFOzp4H8mHRM9680nTppnYvP+0iSQ0RGZ1N9AXVh9PMGpbLJSZl9lKvY915dC3YFlnTroqg9sa0aDdd8m5oUp44Mnsy9U7eAghx+qBjmVzvq0lPjztddtNvvb3rvgu37TtFxbsMyj7NVTXnOLXaXDvmjULrPi3GEUHuXMNN9zTVvm7tN7KGGK/dwyjgU3KaHeGfNWxAJ5I954jXR/kWEzUdM7uU5HTZwWub/N0yQ8HWWLRWHYBMAe6SYts0o2FdVSwWCzZdyzBo6WfvffkYgWCFYdCKds5aZfTi6HdkSynmbI5Js3POfVAiGfQjziDeIsYnO7I+cokke6RqjCEJTB8CPijwjpgyTygQkOT8qQI/+65kPyiNqk5jt4DpLI7SdDsxm4lYwCb6ZdT+yhwzAQ56HL3rnPugjI8k9H3cNiNs1cZITKkYUxwjyziYCq/dVMRZUTOytTwScU5oGkPtDJVTgBeNQ6yjns1Ue7WOKCrIVFhbEH2uqlqpk2LXDzBoTg1jHc5VuMrQdT3rzYb3Z+fUzZy6mXN0fIx1jsEPWGcxwGIxx3vPixcvlAkxlovLK3LBrohgrD0szCZE0fhdxlWFQRiF+tbyCUBAkst6TEm2EsCbPhfJ7xjjOBEBZ91WpIuIjLk9JnIhp1vWft1+NtPvh/zeFHT6a8t3jzNdfmjO3WUrD7VPAxByb5vyBFDfge1BrQlQgJg7e7I/ERPSZBs1bKpQMflJMNI8IjY5KY4HOj465unTZ1R1jQ8RPyT0dE0OT174CUgIEfrsRcu2QJyCg0Na2i5wyPeemZU8eKZmmfu0m8578HfUqXJKEd9XaN8HJGSA+6MAg3LAMILQfUBlz3nzszm07top0gTBxMSwdR7G8LJdRqDv+2KLjFBMCHn9PjbHIIV1uNc1Hthu3zODNKGlZ6R+V4IjVVJMAEFcVYLgF8slT5484Zs//4mrqytWqxVN06QUsoHeGobB0bYbVqtV0nSSM2jv1c8hjjxLQM8pJpm+EhAxxiLOYipH1TQl9XEIrmjBWDUzwOj7hBGCTAS6kcl7VWhIjKv0YVgpDpjb84BGHoSJLbrQzGPvIuIQRgpZQiCmIk+KYtKcIiExioL3Y2bFGHMNhVDyCYQELrKZKs+nlXGpVk3ApJoQEnL010Qw2NEOn1P6ighOlAlxlVN/ixCZLxwnJzVNVScve4c3NVjH4miJWIfbbGC1wUdPxBIweHLqIWVaArDpPH2fHB5nDQtbM6saQjS03cB3P7wioP5hj548oZnpNfd9r1kH64bHjx8znyuAePX6Db/+1a9ZrdZsNhua+QJXOX39Ypr/zbYQLaaBqalAJGXmNBM2LMHKPB9ncVUAXioalhggLXIVEB/wxoMNBSwGlKEIQOUMs1ldgDOo/0H+5ARVJvV1nhdyemom15S/T2tPTP/mYk9lzB7Yf7r+kA+C98O1ZfvaRwMEdWxSL1sTRtRKHOOAc/jwdJIsUluSv0Ge8MtnnHS3AOLO5BoSkjfGUDeamCJ4pf+NMQdyLuwHCMRIGAJbc3ECPCZpOkyua4sIiWM61yw0Mlo12axgk4PLxGfjfi2pJlPEExk5l/TPlOjXanZ23HxHGz0keKZJP+4KDozN/iQ3J+zYB6Du1aJAtLcKyJv+3kU717Yd+z6O4VhshnmZTPYVkaJ15PNloLAPrMWgRX52l+9e1+7v2+5973qTtOWoAjqiOfqTxwFSzGxqKlgsFoBO7F2nZZiXy2WSYzHVWcjhifld9xhrqJoaV1dqU02hy1FgGGqiEZz3uGHAeU9V15rYp67wfsBHj3gH4sGEBBQMMWgUU+c9pu+IEhjiQoWidSpEEELwOh9FgQQJsqOZj4YclmuihrH5qO8LKRIhJKG49aJnJSGVZg4+11MI9MOYNrlkS4yZURqViyHmjIsjMEvR8SmkLuazjXNjzP1KGVXKCsiU4FBmJM1ZsVx/im6JEWcrmmZGXWkpZ6I6l/reM1/M1fTinCauCJF28ND2RCNs2lYLXMWAFYuzhpBGTUxMTR8gdgPtEFi3HmNrIoaj41MeP37El19/Sd/3mqDJe0QMi+WCp8+eUtU152cXnJ2d8erNG0IMdF2HtdUoAGOSDcL4XCbgd+v9NqaIo8I6S2Z8074m0/MjKLTOYZ2dfFTQi7GJ1dH5NeX0K/VKvFcWzRhD3/es12vW6/UW4zYFEvvYg+n3fazAPpbg0F84nNL/rnPuJyvWlF8jmUjkNCb3tMwG5A0nR5DJfjLZfnKcPNnqwNcNrbVUVU1V1SWTWUaO1y9hfOl12ISydNcDvawo6LQsSANSAZKi+0iiQdL2afdSlEYSvSUj63KPVvp4Z2Ec54TS31PBJOG+QOQ6Et0VToeW7Yti2HN0Sv9/CEAQA0HufF3T5bvg6EZwEJMj2866kJ6CHDhGsQmXMTbCykPnz7HS03W7bd+yffvcBhDUi14Bgo4bZbdC6ictjarSyBqrVVGBwfuixTRNQy5kQwwYYydFnLKgMpjKYl1V4sNd8gmwVUUgYqsK6yps1eMqBQauqnBDjw8O6TXcNluUBHVUVP8ErVcgJrMfyXN9C3yLmr2K34++dyqMSZO9frJJQgrnlo0Mo/YSkykmbLEB6p+UzQVDKsQUQ1KQ4jTCIflApHkpMyr5evJ403d6fOOnStT1JuUTEgDV+2QyAvWY1trRRybEUv65j8IwqKInxmKcpr32IdINnth2tG2PDx5jSL4kyXwj6gA5+Eg/eNTHVBAGXH2FdRWv37zFWMdfV5WCqRTWaaz6uSyXRxhjefzkMRE4v7pks1GzlrXV9m3epZW5Nv+cmBvKl7xdil0RNXXlrIi7EQ2S83yksWLi6AORhX8BiKmyYwbUwJYZIr+3h8wJ+wDClHWYbr+7776/10fMTwQQnNOc6EbUWSWn9IyCJgQhFvSsQttuaVOg8dj6skw1VL2NtIE6KqaHmUNcjAg2gnEV8+VJCnN0+KQNqbexDpSMc7OtUfLv0lKq02yWYPeBZUBwXaCNDMn1TwYReR4fZc8k/vbOLffLZMkerXLacmW6u2qku98PsQW7TMK+411fdv36PwAnoVr9zRr1PnbhJiAy1TzKPqLlcENC/DpHZwe/ccLf7YOqqXFu9Pwfn/UOODAj02Odxcm2D8K+77vL7vrMpt9NHFL/Ca7WePHO+4lwqBDrwFUcHR/x4sUL7K8d56sL/vEf/5Gmafjyyy+p60pTHgvqrFinSo9EvLdqSw4xlXyWlFtANI+/URf6bFYwg1Pzgsw4sRbXNFSbFWJSWeahxw+e4L0K4CTcSp0DYxFXY+sal73mh4HgB4bkQC2kuKUkbTX3gZREQeoH4ZIgkAk4zAxcHFnAzBIGW0IJxVu0xPR24aXBe9qum7BFRtmnRGGrCWGaQjmZNVuKPTynkZZJ2G0GQvuESXa0tMbiKgUDg/fUTc3czzFiGHr1Fbhab9gMgWZEpFE3AAALH0lEQVS+QIzgqhlHxxHvG8Ro0p+rVUfbKjhzDdAPsPZYp4KzGzouVh1wjqtrXFVxcnJC1XbYqzW/++M3vL84p6o1R8ZsNmO+OELQMECI1HXNF19+yfL4GIzw7bffcX5+gUtZcUclTUAyGB0ri2Jsecds5bT4V8ICWnUxMQil4uhEw45JbqVIFMmO6VGd5PUjlPw+CCFoIbKcNjxGddLNVRyHYaDve05PTzk6OqJK4CjXFILbmYPp3/uaF4AtMDJtw09lYhjZgAlizZOhREaOf3ITImWTkSlI1Pg4N5d9dHs9T+kiGX/nAk0iyd7HoBpNimaIpIQ3aYofr2hbeIUYqZvtPAh3QWQ5rGXXR2G6/loo6Ee224RxEXhoZb7rm+8K6+3fJplTpuAiT6yxsCa7Anj3JNNjXgcHqlF/qKllvL7p8fdda9liB6xs2Z+m9zHZzzo39gWM4CAfL058C9J3m+yfMl0u48QeScBtsoysjV+7zuvtroDh4P47v6/3/zjWrVUGoWkaKldxeXnJer1OBZzUq1qz3Y0qrhCx1iTHxVActowILtndK68mCOLoV+CHgb7vAMH1HX6o0jtcrkjfn0Gd6IrtnpTTIUKMprzhqnSMceXKEkyBbRyTqEYgqNA2UTXj7NhGTE8/RKxT/4c4GQ9kzd9IUj7GHB3q/5g1kmQMnM4lRpCYxkrMEVuS2MjEaMZQWMASajwVJpOwvOkzLUqUsUSS97+xKZmSbue9ZwiBPgQ2XZeelShQRJ22h+Bp+0A/qFOuTE3GOcdNTnkdI41RoKXVN7XS5tVqjTHCq9evefL4McZajlLBLb1eAxJYLpfEGHn8+DHrTZsAYn727GgUMv6WkV4oZr8QCkAgKaUilL/jfCVAwBhXwm/t1I/AVdgqhVoam8YUia0J+DAkk5JmhQRd1yWTXN00uKoqGYVVJuWXcTRP7r6jkv8mLVMmciMD3ulY2vqdvme/i92WfSNuax8NEHReEx04QiLrdlOETqaO8sDI8vrWEtHXzxmIyakkRtUEFosFkUjbtQQMzWzO8dHx5NyTJqN1TlemyRWw9ZasuJeGPAUJ05bBwUjBymSS+rB2H4AwIrfbt4dtVHoX9mCbDTncX4eo/w8HCIc16Om15tZNtLh0lPH6d86Qlzk7LwNi91wFLOT1U6GRt5uMrfw37umjGHZi3A/c2771+8bSIRahCOT87mUNNSQ/ItRRy0QV3tZYZrMZp8cndG3H+/fvS2KbpqkAm8IdNS2uT05YTVPRdQNt16dY+fQOOIcdVMv3vmeYKfjo5i1V7dis1/gYcH2F95X6LwxCSCWLQ8ihhAMM6V2yhn4IuCHiKzQ7nhFNte5DCjgY4ZkuC1irJh4TDdao86aPaRnXx3+MkaapqGQ7I2fJfZAmfjEpZj8LhKSdZrNCBhLJGIDKe+3vzBBEUjr2qL4KplwDWwCBDDKyz1COdkhhmxkQBK/+GNZZ1WRTrolhGOi9p/eR86sVVVXRNCkXgTH0nacbIquNJ7vIWJ/8JiIEUSHs48ikukZAHFU9R6xjCJHN1RVd3zL7Rh0H61lDVVc0KffFEAKD95xWdXGCrZsZ79+f8fs//BE/+AT0JgI1CfsJyib7B/jBg4w+PcZkYalzjmafHBVWEGbzhtligasUmNbNHNfMcFWDqZrig6D+Fmoe6vuWzXpNl0wmrqoIQNdr/ZDL1YrZfI6rKoYSwnr9fb2NPRAR6lQRcrpu33bTZif7TNtwR9nz0QDh2++/Z1a5VGxFEaq2HN4xZkALMSGXgsqz7XACJvIHRnQVQjExRMAjmptdDKtNx/LomKpZ4BHm788JYjTspq73AwQoIEFbQsEIXty2RpiQ6JT6Y+c6lVZNACFtX7BpGow5OUz+HlJ65g9pt4KD1Hf5Ocge8HWb8NkNuYPR3r0PJEAGr/uPe+iaP9xZ8/r13Uax+4kT4E3XNG0WiiAt2+w5RzZhlXV7gMEUGlybIEJE/N1A3+7vffd6EDzECGFIN2WoZzOMc7w7P1dBZRymqlUDrGo2bcf5xSWr1Yqu6/jNb36DMYYnT55wfLxUStUlH4bg6bsOETg+PmLT9aw2LfPZbPSYz2GSfad+F8NAt9nQdS2rywuGoadrW9aXV7TrNVeX5+rMlkvvhkDXt+ocOKjpwBrhG98ya7S8rqscRkSVhWQPtjlGnmwjHnA2J3pSZ0yb7MwCYzno6VgPkaq2uGpMlzuCwphqr8SiXean7ZPNPaZJL8ZQohP2lXHOk6P0Nh0v158JJUnTaD+XMveCELzHiGiKZas5DrqF9tfV5SXtZsPQ9vR9x2rd8+ptSycBDwyXG6zpqKoNrrKIgc2mZdMHrlogTEpAp5xEbafAYPA5qRKEKAw+cLFaIWtNbd+2LZUT2tUZ79+/549//CPf/PHPKbldo34cMdJ36vC3Wq9YrTasNxu+++47hkEramTzT3amFTMqXcKYq6NLx8u/jSi4EAEr25kURydFdUR0dY11jipVp3RVjalnKTujTUxVzlExMPQrfb4xas6QNHf+6le/4ocffuDo6IjValV8E6YZF28zLxxirnfBwE3b7pvn2olvxE3tgwFCPunbszOaypWJXrBFQ8503hjqlOKuk0arDjz5ePrPdrWy9IBDKMI8JznBVJAAQucji7NzOg9utkrpVdMLc1D4pBcxBT8XYsbUE3Ay0a5KmOO21gWkstJ61JxMadpyJq4pg7CPabhPv9+0bOtnurepU8q2INl/nvzy5O2vAbhrKDiW/a6fY881F07pA0wuqoYBo12uCOTpdR24hrv0YW4ZIEy3i5PtMxiYPvGcUQ8o2s1uMqXdZiLYW4DcofvYy0gcAEkqvXqylKlnc6x1vLs4VwZhByC0fcflxYp129IPPe/fv+f4+Jg//OEPLJfzVDUVSOFhXdchIjx6dMKm7bhqO+ZNjbVK3wavfgTRDyrwfaDtNvRdy3p1SfQaLri+WtFtNlxdXhJjCrJLwnQYusQCKOCzIth+TVPXzOeb9D4KXdeW2i9WssNaLJ7klc3zFomKH32NIE0NOflZmgucM1g35mbQI26PP9h2dtZqjdmPZVyfkx+xBRAoB7XB6jwZAr7YxMdIEL3ISaY/YBg0k9+s6nCpzwcfCYNndXVFu9ng+4GubVltPGdrjzjAkjzwwQ1QeZeSVvVsBlgN+sZZD3ZQIGAs9Cklcz+Ac1AL9D4iQ+By3ZZ5s920mjOjX3O1bnnz7oyz8zWz+YzZYkF+l7uuZxg8Xd9pEr7B8/bdewY/OvVlgMAOQMiJsgFaP76DJj3fbJEoFT1zzqG0rw8qj1zlMAUgNMoguLrkB8kmBv0MxNAzDAoQjo+Pi/z79rvvePXqFU/6XiOUJvN+32eAML2GBGYOhDnuS7W8+3ffPvvmm67vt8broSbxA9XYb775hq+++upDdn1oD+2hPbSH9tAe2l+4/fGPf+TLL788uP6DAUIIgT//+c8FMT20h/bQHtpDe2gP7Z9+izFycXHBF198cSOD+8EA4aE9tIf20B7aQ3to/+m2j4+3e2gP7aE9tIf20B7af3LtASA8tIf20B7aQ3toD+1aewAID+2hPbSH9tAe2kO71h4AwkN7aA/toT20h/bQrrUHgPDQHtpDe2gP7aE9tGvtASA8tIf20B7aQ3toD+1aewAID+2hPbSH9tAe2kO71h4AwkN7aA/toT20h/bQrrUHgPDQHtpDe2gP7aE9tGvtASA8tIf20B7aQ3toD+1aewAID+2hPbSH9tAe2kO71h4AwkN7aA/toT20h/bQrrX/PwGIjnLHw360AAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import torchvision.models as models\n",
+    "import json\n",
+    "from PIL import Image\n",
+    "\n",
+    "alexnet = models.alexnet()\n",
+    "print('Size of the model :')\n",
+    "print_size_of_model(alexnet, \"int8\")\n",
+    "\n",
+    "test_image = \"hot_dog.jpeg\"\n",
+    "\n",
+    "# Configure matplotlib for pretty inline plots\n",
+    "#%matplotlib inline\n",
+    "#%config InlineBackend.figure_format = 'retina'\n",
+    "\n",
+    "# Prepare the labels\n",
+    "with open(\"imagenet-simple-labels.json\") as f:\n",
+    "    labels = json.load(f)\n",
+    "\n",
+    "# First prepare the transformations: resize the image to what the model was trained on and convert it to a tensor\n",
+    "data_transform = transforms.Compose(\n",
+    "    [\n",
+    "        transforms.Resize((224, 224)),\n",
+    "        transforms.ToTensor(),\n",
+    "        transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]),\n",
+    "    ]\n",
+    ")\n",
+    "# Load the image\n",
+    "\n",
+    "image = Image.open(test_image)\n",
+    "plt.imshow(image), plt.xticks([]), plt.yticks([])\n",
+    "\n",
+    "# Now apply the transformation, expand the batch dimension, and send the image to the GPU\n",
+    "# image = data_transform(image).unsqueeze(0).cuda()\n",
+    "image = data_transform(image).unsqueeze(0)\n",
+    "\n",
+    "#use quantized_model\n",
+    "alexnet.eval()\n",
+    "\n",
+    "# Get the 1000-dimensional model output\n",
+    "out = quantized_model(image)\n",
+    "# Find the predicted class\n",
+    "print(\"Predicted class is: {}\".format(labels[out.argmax()]))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "184cfceb",
+   "metadata": {},
+   "source": [
+    "Experiments:\n",
+    "\n",
+    "Study the code and the results obtained. Possibly add other images downloaded from the internet.\n",
+    "\n",
     "What is the size of the model? Quantize it and then check if the model is still able to correctly classify the other images.\n",
     "\n",
     "Experiment with other pre-trained CNN models.\n",
@@ -2329,10 +1699,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 67,
    "id": "be2d31f5",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "import os\n",
     "\n",
@@ -2421,10 +1802,69 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 82,
    "id": "572d824c",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 1/10\n",
+      "----------\n",
+      "train Loss: 0.7025 Acc: 0.6434\n",
+      "val Loss: 0.2432 Acc: 0.9150\n",
+      "\n",
+      "Epoch 2/10\n",
+      "----------\n",
+      "train Loss: 0.4838 Acc: 0.7746\n",
+      "val Loss: 0.2777 Acc: 0.9085\n",
+      "\n",
+      "Epoch 3/10\n",
+      "----------\n",
+      "train Loss: 0.5943 Acc: 0.7459\n",
+      "val Loss: 0.4126 Acc: 0.8366\n",
+      "\n",
+      "Epoch 4/10\n",
+      "----------\n",
+      "train Loss: 0.7651 Acc: 0.7295\n",
+      "val Loss: 0.2159 Acc: 0.9346\n",
+      "\n",
+      "Epoch 5/10\n",
+      "----------\n",
+      "train Loss: 0.3846 Acc: 0.8361\n",
+      "val Loss: 0.2693 Acc: 0.9150\n",
+      "\n",
+      "Epoch 6/10\n",
+      "----------\n",
+      "train Loss: 0.4463 Acc: 0.7869\n",
+      "val Loss: 0.2272 Acc: 0.9346\n",
+      "\n",
+      "Epoch 7/10\n",
+      "----------\n",
+      "train Loss: 0.3917 Acc: 0.8033\n",
+      "val Loss: 0.1765 Acc: 0.9477\n",
+      "\n",
+      "Epoch 8/10\n",
+      "----------\n",
+      "train Loss: 0.3060 Acc: 0.8770\n",
+      "val Loss: 0.1995 Acc: 0.9412\n",
+      "\n",
+      "Epoch 9/10\n",
+      "----------\n",
+      "train Loss: 0.4022 Acc: 0.8402\n",
+      "val Loss: 0.2381 Acc: 0.9412\n",
+      "\n",
+      "Epoch 10/10\n",
+      "----------\n",
+      "train Loss: 0.3859 Acc: 0.8197\n",
+      "val Loss: 0.1876 Acc: 0.9477\n",
+      "\n",
+      "Training complete in 10m 47s\n",
+      "Best val Acc: 0.947712\n"
+     ]
+    }
+   ],
    "source": [
     "import copy\n",
     "import os\n",
@@ -2582,8 +2022,625 @@
     "    # Load best model weights\n",
     "    model.load_state_dict(best_model_wts)\n",
     "    return model, epoch_time\n",
+    "    \n",
+    "# Download a pre-trained ResNet18 model and freeze its weights\n",
+    "model = torchvision.models.resnet18(pretrained=True)\n",
+    "for param in model.parameters():\n",
+    "    param.requires_grad = False\n",
+    "\n",
+    "# Replace the final fully connected layer\n",
+    "# Parameters of newly constructed modules have requires_grad=True by default\n",
+    "num_ftrs = model.fc.in_features\n",
+    "model.fc = nn.Linear(num_ftrs, 2)\n",
+    "# Send the model to the GPU\n",
+    "model = model.to(device)\n",
+    "# Set the loss function\n",
+    "criterion = nn.CrossEntropyLoss()\n",
+    "\n",
+    "# Observe that only the parameters of the final layer are being optimized\n",
+    "optimizer_conv = optim.SGD(model.fc.parameters(), lr=0.001, momentum=0.9)\n",
+    "exp_lr_scheduler = lr_scheduler.StepLR(optimizer_conv, step_size=7, gamma=0.1)\n",
+    "model, epoch_time = train_model(\n",
+    "    model, criterion, optimizer_conv, exp_lr_scheduler, num_epochs=10\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 199,
+   "id": "f8842925",
+   "metadata": {
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "False\n"
+     ]
+    }
+   ],
+   "source": [
+    "import json\n",
+    "from PIL import Image\n",
+    "import os\n",
+    "\n",
+    "def eval_model(model,files,label):\n",
+    "    labels=[\"ants\", \"bees\"]\n",
+    "    # First prepare the transformations: resize the image to what the model was trained on and convert it to a tensor\n",
+    "    data_transform = transforms.Compose(\n",
+    "        [\n",
+    "            transforms.Resize((224, 224)),\n",
+    "            transforms.ToTensor(),\n",
+    "            transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]),\n",
+    "        ]\n",
+    "    )\n",
+    "    # Load the image\n",
+    "    image = Image.open(files)\n",
+    "    #plt.imshow(image), plt.xticks([]), plt.yticks([])\n",
+    "    image = data_transform(image).unsqueeze(0)   \n",
+    "    model.eval()\n",
+    "    out = model(image)\n",
+    "    prediction = bool(label == labels[out.argmax()])\n",
+    "    return prediction\n",
+    "\n",
+    "\n",
+    "test_image_ant = \"./hymenoptera_data/test/ants/_128437383_1.jpg\"\n",
+    "test_image_bee = \"./hymenoptera_data/test/bees/What-Do-Bees-Look-Like-Main.jpg\"\n",
+    "prediction = eval_model(model,test_image_ant,0)\n",
+    "print(prediction)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 205,
+   "id": "5f10d9e0",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The test accuracy is of 90.3954802259887%\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Folder path containing subfolders\n",
+    "folder_path = \"./hymenoptera_data/test\"\n",
+    "subfolders = [\"ants\", \"bees\"]\n",
+    "accuracy = []\n",
+    "\n",
+    "for folder in subfolders:\n",
+    "    all_pictures = os.listdir(\"./hymenoptera_data/test/{}\".format(folder))\n",
+    "    for picture in all_pictures:\n",
+    "        path = \"./hymenoptera_data/test/{}/{}\".format(folder,picture)\n",
+    "        accuracy_picture = eval_model(model,path,folder)\n",
+    "        accuracy.append(accuracy_picture)\n",
+    "accuracy = np.sum(accuracy)/len(accuracy)*100\n",
+    "print(\"The test accuracy is of {}%\".format(accuracy))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "fb1598cd",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/lib/python3.9/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.\n",
+      "  warnings.warn(\n",
+      "/opt/anaconda3/lib/python3.9/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet18_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet18_Weights.DEFAULT` to get the most up-to-date weights.\n",
+      "  warnings.warn(msg)\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 1/10\n",
+      "----------\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/anaconda3/lib/python3.9/site-packages/torch/optim/lr_scheduler.py:136: UserWarning: Detected call of `lr_scheduler.step()` before `optimizer.step()`. In PyTorch 1.1.0 and later, you should call them in the opposite order: `optimizer.step()` before `lr_scheduler.step()`.  Failure to do this will result in PyTorch skipping the first value of the learning rate schedule. See more details at https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate\n",
+      "  warnings.warn(\"Detected call of `lr_scheduler.step()` before `optimizer.step()`. \"\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "train Loss: 0.6170 Acc: 0.6680\n",
+      "val Loss: 0.2419 Acc: 0.9412\n",
+      "\n",
+      "Epoch 2/10\n",
+      "----------\n",
+      "train Loss: 0.5977 Acc: 0.7254\n",
+      "val Loss: 0.1833 Acc: 0.9477\n",
+      "\n",
+      "Epoch 3/10\n",
+      "----------\n",
+      "train Loss: 0.5308 Acc: 0.7664\n",
+      "val Loss: 0.2110 Acc: 0.9281\n",
+      "\n",
+      "Epoch 4/10\n",
+      "----------\n",
+      "train Loss: 0.4188 Acc: 0.8238\n",
+      "val Loss: 0.1998 Acc: 0.9346\n",
+      "\n",
+      "Epoch 5/10\n",
+      "----------\n",
+      "train Loss: 0.4426 Acc: 0.8074\n",
+      "val Loss: 0.1903 Acc: 0.9346\n",
+      "\n",
+      "Epoch 6/10\n",
+      "----------\n",
+      "train Loss: 0.3849 Acc: 0.8361\n",
+      "val Loss: 0.1759 Acc: 0.9346\n",
+      "\n",
+      "Epoch 7/10\n",
+      "----------\n",
+      "train Loss: 0.3170 Acc: 0.8811\n",
+      "val Loss: 0.1549 Acc: 0.9477\n",
+      "\n",
+      "Epoch 8/10\n",
+      "----------\n",
+      "train Loss: 0.3371 Acc: 0.8484\n",
+      "val Loss: 0.1808 Acc: 0.9216\n",
+      "\n",
+      "Epoch 9/10\n",
+      "----------\n",
+      "train Loss: 0.3234 Acc: 0.8402\n",
+      "val Loss: 0.1576 Acc: 0.9542\n",
+      "\n",
+      "Epoch 10/10\n",
+      "----------\n",
+      "train Loss: 0.3791 Acc: 0.8607\n",
+      "val Loss: 0.1590 Acc: 0.9412\n",
+      "\n",
+      "Training complete in 10m 4s\n",
+      "Best val Acc: 0.954248\n"
+     ]
+    }
+   ],
+   "source": [
+    "import copy\n",
+    "import os\n",
+    "import time\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import torch\n",
+    "import torch.nn as nn\n",
+    "import torch.optim as optim\n",
+    "import torchvision\n",
+    "from torch.optim import lr_scheduler\n",
+    "from torchvision import datasets, transforms\n",
+    "\n",
+    "# Data augmentation and normalization for training\n",
+    "# Just normalization for validation\n",
+    "data_transforms = {\n",
+    "    \"train\": transforms.Compose(\n",
+    "        [\n",
+    "            transforms.RandomResizedCrop(\n",
+    "                224\n",
+    "            ),  # ImageNet models were trained on 224x224 images\n",
+    "            transforms.RandomHorizontalFlip(),  # flip horizontally 50% of the time - increases train set variability\n",
+    "            transforms.ToTensor(),  # convert it to a PyTorch tensor\n",
+    "            transforms.Normalize(\n",
+    "                [0.485, 0.456, 0.406], [0.229, 0.224, 0.225]\n",
+    "            ),  # ImageNet models expect this norm\n",
+    "        ]\n",
+    "    ),\n",
+    "    \"val\": transforms.Compose(\n",
+    "        [\n",
+    "            transforms.Resize(256),\n",
+    "            transforms.CenterCrop(224),\n",
+    "            transforms.ToTensor(),\n",
+    "            transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]),\n",
+    "        ]\n",
+    "    ),\n",
+    "}\n",
+    "\n",
+    "data_dir = \"hymenoptera_data\"\n",
+    "# Create train and validation datasets and loaders\n",
+    "image_datasets = {\n",
+    "    x: datasets.ImageFolder(os.path.join(data_dir, x), data_transforms[x])\n",
+    "    for x in [\"train\", \"val\"]\n",
+    "}\n",
+    "dataloaders = {\n",
+    "    x: torch.utils.data.DataLoader(\n",
+    "        image_datasets[x], batch_size=4, shuffle=True, num_workers=4\n",
+    "    )\n",
+    "    for x in [\"train\", \"val\"]\n",
+    "}\n",
+    "dataset_sizes = {x: len(image_datasets[x]) for x in [\"train\", \"val\"]}\n",
+    "class_names = image_datasets[\"train\"].classes\n",
+    "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n",
+    "\n",
+    "# Helper function for displaying images\n",
+    "def imshow(inp, title=None):\n",
+    "    \"\"\"Imshow for Tensor.\"\"\"\n",
+    "    inp = inp.numpy().transpose((1, 2, 0))\n",
+    "    mean = np.array([0.485, 0.456, 0.406])\n",
+    "    std = np.array([0.229, 0.224, 0.225])\n",
+    "\n",
+    "    # Un-normalize the images\n",
+    "    inp = std * inp + mean\n",
+    "    # Clip just in case\n",
+    "    inp = np.clip(inp, 0, 1)\n",
+    "    plt.imshow(inp)\n",
+    "    if title is not None:\n",
+    "        plt.title(title)\n",
+    "    plt.pause(0.001)  # pause a bit so that plots are updated\n",
+    "    plt.show()\n",
+    "\n",
+    "\n",
+    "# Get a batch of training data\n",
+    "# inputs, classes = next(iter(dataloaders['train']))\n",
+    "\n",
+    "# Make a grid from batch\n",
+    "# out = torchvision.utils.make_grid(inputs)\n",
+    "\n",
+    "# imshow(out, title=[class_names[x] for x in classes])\n",
+    "# training\n",
+    "\n",
+    "\n",
+    "def train_model(model, criterion, optimizer, scheduler, num_epochs=25):\n",
+    "    since = time.time()\n",
+    "\n",
+    "    best_model_wts = copy.deepcopy(model.state_dict())\n",
+    "    best_acc = 0.0\n",
+    "\n",
+    "    epoch_time = []  # we'll keep track of the time needed for each epoch\n",
+    "\n",
+    "    for epoch in range(num_epochs):\n",
+    "        epoch_start = time.time()\n",
+    "        print(\"Epoch {}/{}\".format(epoch + 1, num_epochs))\n",
+    "        print(\"-\" * 10)\n",
+    "\n",
+    "        # Each epoch has a training and validation phase\n",
+    "        for phase in [\"train\", \"val\"]:\n",
+    "            if phase == \"train\":\n",
+    "                scheduler.step()\n",
+    "                model.train()  # Set model to training mode\n",
+    "            else:\n",
+    "                model.eval()  # Set model to evaluate mode\n",
+    "\n",
+    "            running_loss = 0.0\n",
+    "            running_corrects = 0\n",
+    "\n",
+    "            # Iterate over data.\n",
+    "            for inputs, labels in dataloaders[phase]:\n",
+    "                inputs = inputs.to(device)\n",
+    "                labels = labels.to(device)\n",
+    "\n",
+    "                # zero the parameter gradients\n",
+    "                optimizer.zero_grad()\n",
+    "\n",
+    "                # Forward\n",
+    "                # Track history if only in training phase\n",
+    "                with torch.set_grad_enabled(phase == \"train\"):\n",
+    "                    outputs = model(inputs)\n",
+    "                    _, preds = torch.max(outputs, 1)\n",
+    "                    loss = criterion(outputs, labels)\n",
+    "\n",
+    "                    # backward + optimize only if in training phase\n",
+    "                    if phase == \"train\":\n",
+    "                        loss.backward()\n",
+    "                        optimizer.step()\n",
+    "\n",
+    "                # Statistics\n",
+    "                running_loss += loss.item() * inputs.size(0)\n",
+    "                running_corrects += torch.sum(preds == labels.data)\n",
+    "\n",
+    "            epoch_loss = running_loss / dataset_sizes[phase]\n",
+    "            epoch_acc = running_corrects.double() / dataset_sizes[phase]\n",
+    "\n",
+    "            print(\"{} Loss: {:.4f} Acc: {:.4f}\".format(phase, epoch_loss, epoch_acc))\n",
+    "\n",
+    "            # Deep copy the model\n",
+    "            if phase == \"val\" and epoch_acc > best_acc:\n",
+    "                best_acc = epoch_acc\n",
+    "                best_model_wts = copy.deepcopy(model.state_dict())\n",
+    "\n",
+    "        # Add the epoch time\n",
+    "        t_epoch = time.time() - epoch_start\n",
+    "        epoch_time.append(t_epoch)\n",
+    "        print()\n",
+    "\n",
+    "    time_elapsed = time.time() - since\n",
+    "    print(\n",
+    "        \"Training complete in {:.0f}m {:.0f}s\".format(\n",
+    "            time_elapsed // 60, time_elapsed % 60\n",
+    "        )\n",
+    "    )\n",
+    "    print(\"Best val Acc: {:4f}\".format(best_acc))\n",
+    "\n",
+    "    # Load best model weights\n",
+    "    model.load_state_dict(best_model_wts)\n",
+    "    return model, epoch_time\n",
+    "    \n",
+    "# Download a pre-trained ResNet18 model and freeze its weights\n",
+    "model = torchvision.models.resnet18(pretrained=True)\n",
+    "for param in model.parameters():\n",
+    "    param.requires_grad = False\n",
+    "\n",
+    "# Replace the final fully connected layer\n",
+    "# Parameters of newly constructed modules have requires_grad=True by default\n",
+    "num_ftrs = model.fc.in_features\n",
+    "model.fc = nn.Linear(num_ftrs, 2)\n",
+    "# Send the model to the GPU\n",
+    "model = model.to(device)\n",
+    "# Set the loss function\n",
+    "criterion = nn.CrossEntropyLoss()\n",
+    "\n",
+    "# Observe that only the parameters of the final layer are being optimized\n",
+    "optimizer_conv = optim.SGD(model.fc.parameters(), lr=0.001, momentum=0.9)\n",
+    "exp_lr_scheduler = lr_scheduler.StepLR(optimizer_conv, step_size=7, gamma=0.1)\n",
+    "model, epoch_time = train_model(\n",
+    "    model, criterion, optimizer_conv, exp_lr_scheduler, num_epochs=10\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cbf42fae",
+   "metadata": {},
+   "source": [
+    "Experiments:\n",
+    "Study the code and the results obtained.\n",
+    "\n",
+    "Modify the code and add an \"eval\n",
+    "_model\" function to allow\n",
+    "the evaluation of the model on a test set (different from the learning and validation sets used during the learning phase). Study the results obtained.\n",
+    "\n",
+    "Now modify the code to replace the current classification layer with a set of two layers using a \"relu\" activation function for the middle layer, and the \"dropout\" mechanism for both layers. Renew the experiments and study the results obtained.\n",
+    "\n",
+    "Apply ther quantization (post and quantization aware) and evaluate impact on model size and accuracy."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fda7f893",
+   "metadata": {},
+   "source": [
+    "# Last layer modification"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "71aec74d",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 1/10\n",
+      "----------\n",
+      "train Loss: 0.6862 Acc: 0.5369\n",
+      "val Loss: 0.6404 Acc: 0.6601\n",
+      "\n",
+      "Epoch 2/10\n",
+      "----------\n",
+      "train Loss: 0.5990 Acc: 0.7459\n",
+      "val Loss: 0.4766 Acc: 0.9281\n",
+      "\n",
+      "Epoch 3/10\n",
+      "----------\n",
+      "train Loss: 0.5346 Acc: 0.7541\n",
+      "val Loss: 0.3290 Acc: 0.9150\n",
+      "\n",
+      "Epoch 4/10\n",
+      "----------\n",
+      "train Loss: 0.4660 Acc: 0.7869\n",
+      "val Loss: 0.2494 Acc: 0.9477\n",
+      "\n",
+      "Epoch 5/10\n",
+      "----------\n",
+      "train Loss: 0.4783 Acc: 0.7664\n",
+      "val Loss: 0.2436 Acc: 0.9281\n",
+      "\n",
+      "Epoch 6/10\n",
+      "----------\n",
+      "train Loss: 0.4324 Acc: 0.7951\n",
+      "val Loss: 0.2272 Acc: 0.9412\n",
+      "\n",
+      "Epoch 7/10\n",
+      "----------\n",
+      "train Loss: 0.3689 Acc: 0.8320\n",
+      "val Loss: 0.2235 Acc: 0.9412\n",
+      "\n",
+      "Epoch 8/10\n",
+      "----------\n",
+      "train Loss: 0.3937 Acc: 0.8279\n",
+      "val Loss: 0.2099 Acc: 0.9412\n",
+      "\n",
+      "Epoch 9/10\n",
+      "----------\n",
+      "train Loss: 0.3678 Acc: 0.8484\n",
+      "val Loss: 0.1967 Acc: 0.9412\n",
+      "\n",
+      "Epoch 10/10\n",
+      "----------\n",
+      "train Loss: 0.3858 Acc: 0.8238\n",
+      "val Loss: 0.1850 Acc: 0.9477\n",
+      "\n",
+      "Training complete in 9m 56s\n",
+      "Best val Acc: 0.947712\n"
+     ]
+    }
+   ],
+   "source": [
+    "import copy\n",
+    "import os\n",
+    "import time\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import torch\n",
+    "import torch.nn as nn\n",
+    "import torch.optim as optim\n",
+    "import torchvision\n",
+    "from torch.optim import lr_scheduler\n",
+    "from torchvision import datasets, transforms\n",
+    "\n",
+    "# Data augmentation and normalization for training\n",
+    "# Just normalization for validation\n",
+    "data_transforms = {\n",
+    "    \"train\": transforms.Compose(\n",
+    "        [\n",
+    "            transforms.RandomResizedCrop(\n",
+    "                224\n",
+    "            ),  # ImageNet models were trained on 224x224 images\n",
+    "            transforms.RandomHorizontalFlip(),  # flip horizontally 50% of the time - increases train set variability\n",
+    "            transforms.ToTensor(),  # convert it to a PyTorch tensor\n",
+    "            transforms.Normalize(\n",
+    "                [0.485, 0.456, 0.406], [0.229, 0.224, 0.225]\n",
+    "            ),  # ImageNet models expect this norm\n",
+    "        ]\n",
+    "    ),\n",
+    "    \"val\": transforms.Compose(\n",
+    "        [\n",
+    "            transforms.Resize(256),\n",
+    "            transforms.CenterCrop(224),\n",
+    "            transforms.ToTensor(),\n",
+    "            transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]),\n",
+    "        ]\n",
+    "    ),\n",
+    "}\n",
+    "\n",
+    "data_dir = \"hymenoptera_data\"\n",
+    "# Create train and validation datasets and loaders\n",
+    "image_datasets = {\n",
+    "    x: datasets.ImageFolder(os.path.join(data_dir, x), data_transforms[x])\n",
+    "    for x in [\"train\", \"val\"]\n",
+    "}\n",
+    "dataloaders = {\n",
+    "    x: torch.utils.data.DataLoader(\n",
+    "        image_datasets[x], batch_size=4, shuffle=True, num_workers=4\n",
+    "    )\n",
+    "    for x in [\"train\", \"val\"]\n",
+    "}\n",
+    "dataset_sizes = {x: len(image_datasets[x]) for x in [\"train\", \"val\"]}\n",
+    "class_names = image_datasets[\"train\"].classes\n",
+    "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n",
+    "\n",
+    "# Helper function for displaying images\n",
+    "def imshow(inp, title=None):\n",
+    "    \"\"\"Imshow for Tensor.\"\"\"\n",
+    "    inp = inp.numpy().transpose((1, 2, 0))\n",
+    "    mean = np.array([0.485, 0.456, 0.406])\n",
+    "    std = np.array([0.229, 0.224, 0.225])\n",
+    "\n",
+    "    # Un-normalize the images\n",
+    "    inp = std * inp + mean\n",
+    "    # Clip just in case\n",
+    "    inp = np.clip(inp, 0, 1)\n",
+    "    plt.imshow(inp)\n",
+    "    if title is not None:\n",
+    "        plt.title(title)\n",
+    "    plt.pause(0.001)  # pause a bit so that plots are updated\n",
+    "    plt.show()\n",
+    "\n",
+    "\n",
+    "# Get a batch of training data\n",
+    "# inputs, classes = next(iter(dataloaders['train']))\n",
+    "\n",
+    "# Make a grid from batch\n",
+    "# out = torchvision.utils.make_grid(inputs)\n",
+    "\n",
+    "# imshow(out, title=[class_names[x] for x in classes])\n",
+    "# training\n",
+    "\n",
+    "\n",
+    "def train_model(model, criterion, optimizer, scheduler, num_epochs=25):\n",
+    "    since = time.time()\n",
+    "\n",
+    "    best_model_wts = copy.deepcopy(model.state_dict())\n",
+    "    best_acc = 0.0\n",
+    "\n",
+    "    epoch_time = []  # we'll keep track of the time needed for each epoch\n",
+    "\n",
+    "    for epoch in range(num_epochs):\n",
+    "        epoch_start = time.time()\n",
+    "        print(\"Epoch {}/{}\".format(epoch + 1, num_epochs))\n",
+    "        print(\"-\" * 10)\n",
+    "\n",
+    "        # Each epoch has a training and validation phase\n",
+    "        for phase in [\"train\", \"val\"]:\n",
+    "            if phase == \"train\":\n",
+    "                scheduler.step()\n",
+    "                model.train()  # Set model to training mode\n",
+    "            else:\n",
+    "                model.eval()  # Set model to evaluate mode\n",
+    "\n",
+    "            running_loss = 0.0\n",
+    "            running_corrects = 0\n",
+    "\n",
+    "            # Iterate over data.\n",
+    "            for inputs, labels in dataloaders[phase]:\n",
+    "                inputs = inputs.to(device)\n",
+    "                labels = labels.to(device)\n",
+    "\n",
+    "                # zero the parameter gradients\n",
+    "                optimizer.zero_grad()\n",
+    "\n",
+    "                # Forward\n",
+    "                # Track history if only in training phase\n",
+    "                with torch.set_grad_enabled(phase == \"train\"):\n",
+    "                    outputs = model(inputs)\n",
+    "                    _, preds = torch.max(outputs, 1)\n",
+    "                    loss = criterion(outputs, labels)\n",
+    "\n",
+    "                    # backward + optimize only if in training phase\n",
+    "                    if phase == \"train\":\n",
+    "                        loss.backward()\n",
+    "                        optimizer.step()\n",
+    "\n",
+    "                # Statistics\n",
+    "                running_loss += loss.item() * inputs.size(0)\n",
+    "                running_corrects += torch.sum(preds == labels.data)\n",
+    "\n",
+    "            epoch_loss = running_loss / dataset_sizes[phase]\n",
+    "            epoch_acc = running_corrects.double() / dataset_sizes[phase]\n",
+    "\n",
+    "            print(\"{} Loss: {:.4f} Acc: {:.4f}\".format(phase, epoch_loss, epoch_acc))\n",
+    "\n",
+    "            # Deep copy the model\n",
+    "            if phase == \"val\" and epoch_acc > best_acc:\n",
+    "                best_acc = epoch_acc\n",
+    "                best_model_wts = copy.deepcopy(model.state_dict())\n",
+    "\n",
+    "        # Add the epoch time\n",
+    "        t_epoch = time.time() - epoch_start\n",
+    "        epoch_time.append(t_epoch)\n",
+    "        print()\n",
+    "\n",
+    "    time_elapsed = time.time() - since\n",
+    "    print(\n",
+    "        \"Training complete in {:.0f}m {:.0f}s\".format(\n",
+    "            time_elapsed // 60, time_elapsed % 60\n",
+    "        )\n",
+    "    )\n",
+    "    print(\"Best val Acc: {:4f}\".format(best_acc))\n",
     "\n",
-    "\n",
+    "    # Load best model weights\n",
+    "    model.load_state_dict(best_model_wts)\n",
+    "    return model, epoch_time\n",
+    "    \n",
     "# Download a pre-trained ResNet18 model and freeze its weights\n",
     "model = torchvision.models.resnet18(pretrained=True)\n",
     "for param in model.parameters():\n",
@@ -2592,7 +2649,15 @@
     "# Replace the final fully connected layer\n",
     "# Parameters of newly constructed modules have requires_grad=True by default\n",
     "num_ftrs = model.fc.in_features\n",
-    "model.fc = nn.Linear(num_ftrs, 2)\n",
+    "model.fc = nn.Sequential(\n",
+    "    nn.Linear(num_ftrs, 512),\n",
+    "    nn.ReLU(),\n",
+    "    nn.Dropout(0.4),\n",
+    "    nn.Linear(512, 256),\n",
+    "    nn.ReLU(),  \n",
+    "    nn.Dropout(0.4),\n",
+    "    nn.Linear(256, 2)\n",
+    ")\n",
     "# Send the model to the GPU\n",
     "model = model.to(device)\n",
     "# Set the loss function\n",
@@ -2608,18 +2673,69 @@
   },
   {
    "cell_type": "markdown",
-   "id": "cbf42fae",
+   "id": "0b216cdf",
    "metadata": {},
    "source": [
-    "Experiments:\n",
-    "Study the code and the results obtained.\n",
+    "The output data is really similar to the previous result. This can be because the test data set is small"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "79411410",
+   "metadata": {},
+   "source": [
+    "# Quantization  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "9e3b6a11",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Size of the model :\n",
+      "model:  int8  \t Size (KB): 46355.376\n",
+      "When quantized\n",
+      "model:  int8  \t Size (KB): 45176.402\n",
+      "Pourcentage of quantization: 0.9745666176885287\n"
+     ]
+    }
+   ],
+   "source": [
+    "import torch\n",
+    "import torch.quantization\n",
+    "import torch.nn as nn\n",
+    "import copy\n",
+    "import os\n",
+    "import time\n",
     "\n",
-    "Modify the code and add an \"eval_model\" function to allow\n",
-    "the evaluation of the model on a test set (different from the learning and validation sets used during the learning phase). Study the results obtained.\n",
     "\n",
-    "Now modify the code to replace the current classification layer with a set of two layers using a \"relu\" activation function for the middle layer, and the \"dropout\" mechanism for both layers. Renew the experiments and study the results obtained.\n",
+    "def print_size_of_model(model, label=\"\"):\n",
+    "    torch.save(model.state_dict(), \"temp.p\")\n",
+    "    size = os.path.getsize(\"temp.p\")\n",
+    "    print(\"model: \", label, \" \\t\", \"Size (KB):\", size / 1e3)\n",
+    "    os.remove(\"temp.p\")\n",
+    "    return size\n",
     "\n",
-    "Apply ther quantization (post and quantization aware) and evaluate impact on model size and accuracy."
+    "\n",
+    "print('Size of the model :')\n",
+    "model_size = print_size_of_model(model, \"int8\")\n",
+    "print('When quantized')\n",
+    "quantized_model = torch.quantization.quantize_dynamic(model, dtype=torch.qint8)\n",
+    "model_size_quant = print_size_of_model(quantized_model, \"int8\")\n",
+    "print('Pourcentage of quantization:',model_size_quant/model_size)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e2f2d2d7",
+   "metadata": {},
+   "source": [
+    "Hence the modification of the last layer doesn't affect that much the size of the model"
    ]
   },
   {