diff --git a/Generating 3D Design Voxels using GANs/3D_Gen.ipynb b/Generating 3D Design Voxels using GANs/3D_Gen.ipynb new file mode 100644 index 000000000..dfb5383b7 --- /dev/null +++ b/Generating 3D Design Voxels using GANs/3D_Gen.ipynb @@ -0,0 +1,2852 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "gpuType": "T4" + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "accelerator": "GPU" + }, + "cells": [ + { + "cell_type": "code", + "source": [ + "!pip install tensorflow\n", + "!pip install matplotlib" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Yjl1_xRPVPpj", + "outputId": "59fd21d2-c6a6-4cae-84d5-42765e145642" + }, + "execution_count": 5, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Requirement already satisfied: tensorflow in /usr/local/lib/python3.10/dist-packages (2.17.0)\n", + "Requirement already satisfied: absl-py>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (1.4.0)\n", + "Requirement already satisfied: astunparse>=1.6.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (1.6.3)\n", + "Requirement already satisfied: flatbuffers>=24.3.25 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (24.3.25)\n", + "Requirement already satisfied: gast!=0.5.0,!=0.5.1,!=0.5.2,>=0.2.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (0.6.0)\n", + "Requirement already satisfied: google-pasta>=0.1.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (0.2.0)\n", + "Requirement already satisfied: h5py>=3.10.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (3.11.0)\n", + "Requirement already satisfied: libclang>=13.0.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (18.1.1)\n", + "Requirement already satisfied: ml-dtypes<0.5.0,>=0.3.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (0.4.0)\n", + "Requirement already satisfied: opt-einsum>=2.3.2 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (3.3.0)\n", + "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from tensorflow) (24.1)\n", + "Requirement already satisfied: protobuf!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev,>=3.20.3 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (3.20.3)\n", + "Requirement already satisfied: requests<3,>=2.21.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (2.32.3)\n", + "Requirement already satisfied: setuptools in /usr/local/lib/python3.10/dist-packages (from tensorflow) (71.0.4)\n", + "Requirement already satisfied: six>=1.12.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (1.16.0)\n", + "Requirement already satisfied: termcolor>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (2.4.0)\n", + "Requirement already satisfied: typing-extensions>=3.6.6 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (4.12.2)\n", + "Requirement already satisfied: wrapt>=1.11.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (1.16.0)\n", + "Requirement already satisfied: grpcio<2.0,>=1.24.3 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (1.64.1)\n", + "Requirement already satisfied: tensorboard<2.18,>=2.17 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (2.17.0)\n", + "Requirement already satisfied: keras>=3.2.0 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (3.4.1)\n", + "Requirement already satisfied: tensorflow-io-gcs-filesystem>=0.23.1 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (0.37.1)\n", + "Requirement already satisfied: numpy<2.0.0,>=1.23.5 in /usr/local/lib/python3.10/dist-packages (from tensorflow) (1.26.4)\n", + "Requirement already satisfied: wheel<1.0,>=0.23.0 in /usr/local/lib/python3.10/dist-packages (from astunparse>=1.6.0->tensorflow) (0.44.0)\n", + "Requirement already satisfied: rich in /usr/local/lib/python3.10/dist-packages (from keras>=3.2.0->tensorflow) (13.8.0)\n", + "Requirement already satisfied: namex in /usr/local/lib/python3.10/dist-packages (from keras>=3.2.0->tensorflow) (0.0.8)\n", + "Requirement already satisfied: optree in /usr/local/lib/python3.10/dist-packages (from keras>=3.2.0->tensorflow) (0.12.1)\n", + "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.21.0->tensorflow) (3.3.2)\n", + "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.21.0->tensorflow) (3.8)\n", + "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.21.0->tensorflow) (2.0.7)\n", + "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2.21.0->tensorflow) (2024.8.30)\n", + "Requirement already satisfied: markdown>=2.6.8 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.18,>=2.17->tensorflow) (3.7)\n", + "Requirement already satisfied: tensorboard-data-server<0.8.0,>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.18,>=2.17->tensorflow) (0.7.2)\n", + "Requirement already satisfied: werkzeug>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.18,>=2.17->tensorflow) (3.0.4)\n", + "Requirement already satisfied: MarkupSafe>=2.1.1 in /usr/local/lib/python3.10/dist-packages (from werkzeug>=1.0.1->tensorboard<2.18,>=2.17->tensorflow) (2.1.5)\n", + "Requirement already satisfied: markdown-it-py>=2.2.0 in /usr/local/lib/python3.10/dist-packages (from rich->keras>=3.2.0->tensorflow) (3.0.0)\n", + "Requirement already satisfied: pygments<3.0.0,>=2.13.0 in /usr/local/lib/python3.10/dist-packages (from rich->keras>=3.2.0->tensorflow) (2.16.1)\n", + "Requirement already satisfied: mdurl~=0.1 in /usr/local/lib/python3.10/dist-packages (from markdown-it-py>=2.2.0->rich->keras>=3.2.0->tensorflow) (0.1.2)\n", + "Requirement already satisfied: matplotlib in /usr/local/lib/python3.10/dist-packages (3.7.1)\n", + "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (1.3.0)\n", + "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (0.12.1)\n", + "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (4.53.1)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (1.4.5)\n", + "Requirement already satisfied: numpy>=1.20 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (1.26.4)\n", + "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (24.1)\n", + "Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (9.4.0)\n", + "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (3.1.4)\n", + "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib) (2.8.2)\n", + "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib) (1.16.0)\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from mpl_toolkits.mplot3d import Axes3D\n", + "from tensorflow.keras import layers, models\n", + "from tensorflow.keras.optimizers import Adam" + ], + "metadata": { + "id": "6HMZpIkWVQ_z" + }, + "execution_count": 6, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Function to generate random 3D voxel data (reduced to 500 samples)- can be increased as per requirements\n", + "def generate_voxel_data(shape=(32, 32, 32), num_samples=500):\n", + " \"\"\"\n", + " Generate random 3D voxel data as a simple dataset for GAN.\n", + " \"\"\"\n", + " data = []\n", + " for _ in range(num_samples):\n", + " voxels = np.random.rand(*shape)\n", + " data.append((voxels > 0.5).astype(int))\n", + " return np.array(data)\n", + "\n", + "# We now generate voxel data\n", + "voxel_data = generate_voxel_data()" + ], + "metadata": { + "id": "V1YDwe11VXCj" + }, + "execution_count": 7, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# We now visualize one voxel sample (optional)\n", + "fig = plt.figure()\n", + "ax = fig.add_subplot(111, projection='3d')\n", + "ax.voxels(voxel_data[0], edgecolor='k')\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 411 + }, + "id": "O-JU17uQVaKo", + "outputId": "88470397-556f-4c8e-e72b-3111bdb6d672" + }, + "execution_count": 8, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAZcAAAGKCAYAAADALgxIAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydd5gcZ5XufxU6d09PT84aaTQaxVHOsmzJ2RgbsA0Y29jExbDs7r0su8tedpfdJSxhAZMNmIwJDhiMc5RlWZZspRmNJmqkyTl3rO6qun981TUzthwRud7n4Vmvpru6qrr6O9855z3vK5mmaeLAgQMHDhycRch/7BNw4MCBAwd/eXCCiwMHDhw4OOtwgosDBw4cODjrcIKLAwcOHDg463CCiwMHDhw4OOtwgosDBw4cODjrcIKLAwcOHDg463CCiwMHDhw4OOtwgosDBw4cODjrcIKLAwcOHDg463CCiwMHDhw4OOtwgosDBw4cODjrcIKLAwcOHDg463CCiwMHDhw4OOtwgosDBw4cODjrcIKLAwcOHDg463CCiwMHDhw4OOtwgosDBw4cODjrcIKLAwcOHDg463CCiwMHDhw4OOtwgosDBw4cODjrcIKLAwcOHDg463CCiwMHDhw4OOtwgosDBw4cODjrcIKLAwcOHDg463CCiwMHDhw4OOtwgosDBw4cODjrcIKLAwcOHDg463CCiwMHDhw4OOtwgosDBw4cODjrcIKLAwcOHDg463CCiwMHDhw4OOtwgosDBw4cODjrcIKLAwcOHDg463CCiwMHDhw4OOtwgosDBw4cODjrUP/YJ+DgrwumaaLrOolEAkVRUFUVRVGQZRlJkv7Yp+fAgYOzBMk0TfOPfRIO/jpgGAaZTIZMJkMymbSDiSRJyLKMy+WyA44kSU6wceDgzxhOcHHwe4dpmhiGQTqdJvu4aZqGLMuYpmn/3TRNO6hkg0w2s3GCjQMHf15wgouD3ytM07SzFRBZimmapNPpMwaLlwo26XQav9+P2+22y2gOHDj404XTc3Hwe0M2W9F13S59AXb2kg0ec5ENJnNfa5omhw4doq6ujtzcXDuzyZbRnGDjwMGfHpzg4uCsI9u0z2QyGIZxxmb9mQLLmZANNtmAoiiKnQ2l02kAZFmeV0Jzgo0DB398OMHFwVlFtuSl6zrAWWOBzW3+nymzSafTaJpm/90JNg4c/HHhBBcHZw2GYaBp2ktmK78Lsr2aM/37C4NNthyXzWxeGGyybDQHDhz8/uAEFwe/M7JlsCwb7I85s5Itn809t2ywOVNmM5eN5sCBg7MHJ7g4+J3w+yqDvRAvlbm8mve9UrCRZflFBAEn2Dhw8LvBCS4OXjfS6TTJZPI1T9j/MRfuVwo2ABMTExQWFuLxeJxg48DB64TT5XTwmpHNVoaHh9m/f//rylZe+PrJyUnuvvtuex7mTK//fYxknWlg8/jx48TjcWKxGDMzM0xPTxOLxUilUmQymd/LeThw8JcGJ3Nx8JqQ3eUbhmEv+K81sCSTSbq7uwkGg0QiEfbu3cvV17yVtJZCkhWKiwrZsmULb3/727nkkkv+YEyvudeRDTYwS1RIpVJ2Ge2FbDQns3HgYD6c4OLgVWFu+SjLBsvOnLwWDA8P09jYSDAYZHBwkK985Svcd/8DKP4w4U1Xk5kaYmygnXt+/RvuueceQOJLX/oi9fX1f/CMIRswsmW0LO3ZNE1SqZRdRnOCjQMHL4YTXBy8Il6qaf9aSlWGYdDW1kZPTw/Lly+noKCAc889l6PHjoEk46vdgqe0Dt+C1RgrL2Dyye+jDbQCJk1NTX+U4PJCzNU3ywbWucFmbmYzV4TTUXx28NcIJ7g4eFnMlXB54SL5aoNLPB7n2LFjmKbJtm3b8Pv9aJrG4OAgkuIGSSJ69AGixx4E2Q26BpgoeRXo471MTk6iaRrxeNzOmv4U8HLBJplM2q/JBhvHXsDBXxOc4OLgjHg1Ei6vJrgMDAzQ1NREWVkZS5cutZWQAfx+P2qen8I3/z/SYz1MH76X1KkjgPi7PtEHwP79+1m4cCHbt2+nq6uL3NxcIpEIkUiEYDD4J7NQv9pg80ICgRNsHPwlwgkuDl6EVzu78nLBRdd1mpubGRoaYtWqVRQXF7/oNbIsg5nBxGDqwJ1oPcdxFVQR3nYtRjKKNtSBNthOX18nn//853n44Ye5//77mZiYYGJiglOnTiFJkh1oIpEIfr/fPteenh7OP/8CcnJCvOlNb+LGG2+ksrLyLN6pl8dLBRvDMOxgMzY2Rk5ODqFQyAk2Dv6i4AQXB/OQnbR/NRIuLxVcotEoR48eRVVVtm3bhsvlOuP70+k06XiUgds+BBkNJBkkmVRfM75FG1AjpaR6T9ivb29v5/vf/z7XX389VVVVGIbBzMwMExMTjIyM0NHRgaqq5Obmsn//fv75Xz6GbsLwZJTPfe5zfO5zn8PnD1C3pJarrrqKv//7v//db9hrwJmCTU9PD5WVlbjdbpLJJLIsv4gg4AQbB3+OcPxcHABn9l15pQUtHo+zd+9eLr74YvsYfX19NDc3U1VVRU1NDddddx2//vVvUF0ultQu5qKLLuI973kPTz31FB/60IdAkpFcHgJLd5Ke6EUb7MBMp+Z9jqd8KdrQKcyM6MUALFpUw9GjR+a9zjAMpqenue6669i7dy9qbim5O9+JEsxDj46jDXUQO7EHfWYMJJiemjrjfXjiiSfYvn07Ho/n9d7OV43nnnuOBQsWUFRUNC+zycJx6XTw5wonc3Ewj2IMry6wZF+XXRB1XaepqYmxsTHWrl1LLBZjcW0tgwMDeGs2IEkKrV1tnPjyl/nyl78sshRAcvvIv+hm1JwiAEzTYGr/L0lavRc1rwJ3cQ3a8GmUnAL06REA+vv7X3Q+siwzOTnJ3r17AcjMjDKx5/uChVazkVRvM/rMqAhoCDdMt9sNwC233MK//8cnCAT81CxaxPXXX88NN9yA3+//He/uK+OVFJ+zvS/HpdPBnxOczOWvGC+0H36ti1QymeTJJ59k69atHDt2DJ/Px6pVq3jkkUd461vfhmkaBOovJrTqfPs96bEexh77LqQT4h8kGUwTOZCLWryY9GAHZnwCORDBiE3gLl6Mp7yOmSMPgGmAJIFpgiRTWlrCtq1becc73sH555+PLMt0dHSwbt06AivPB8Mg2XvcCkiSeK+sInsDGLEJ7rnnHjweD5/4xCc4cOAArsIFSC4f6eFOkSVJEqFgiCuueCPf/OY3z/LdFzh48CALFy6ksLDwFV/7ai2h/1TYdA7+uuEEl79SZBlMc3srr3X3m0qleOKJJ5BlmZqaGhYtWoQkSdxwww3ccccdsy9UXKjBPORgHtpgJ5gZQCK0+mIMLUFqsJ3MWA8gIcpeEigq6GlkfwQjPmEfylNVj3/xZrThTrSBNtLjvWAttMePHyedTrNmzRryLv4QvkUbiLU9y+QTtyHJMp6KlWhDHRiJaXEsrw8tlcQ0TXxLtpGz/gokWcY0dLSxbiaf/AGmlkB1uRgfG5t37Z2dnVRVVdlT/K8XBw8eZNGiRRQUFLzm975csHFcOh38seGUxf4Kkc1Wnn/+eUpLS18Xg0rTNI4fPw7A2rVr5+28s/9dfN3n0IZPkeg5TrJtP0wNiRdIMu7SWpRwEb6iRbgKqph65udIqoucDW9Cj0+SGmgnPdwpAouVrci+MN7KlbiKF+IprcWo287og1/FiE1gmia9vb2UlpaKzzBh9P5bSHUdRQ7mk7f7vaihfAAy0XFmDv+WVE8T2R5Oom0/yVOHUXNLUQqqSbbuA0NDcnlRFYnx8XHC4TC6rnPppZfy3HPPIckKpSXFbH1B9vSHwkuV0RyXTgd/CnCCy18RzjS78noS14mJCY4dO0YwGAQgNzd33t+zu3nZE0ANF5F66jAYOsFVFyIHImiD7aQG2ph8smX2TZKMf+k5uEtqkd1eAkvPYfr53xBv24fsz0UJ5pEeOc3UvtvhGRlcHtBEaU2JlKFP9GOaJqdOnQJg+vBvyYz3AmBExxi970uooTzcpXVkZkbQek8guTyY6RSB+otQw8Wkek+Q7G4gPdolSm+KCqZJOqNz7Ngxenp6+Ni//isz0zMEVuwGYGSwnbvuvpu77roLkPAH/Lzpyiu5/vrr2bFjx6v6Ts5Wv+SVXDozmQxjY2NUVlY6wcbB7x1OcPkrwZlmV2RZnsdMejXHOHXqFCdPnqS2tpaKigoeffTRFwWoLPU4NdDK+ANfBUzcFSvw1mxADUTw12xAGznN+GPfAT1tM8ZijY8QO/6omNI3dTAyuCtWkLv1rchuH6aeRhvtZvrZO9Bjs6UyfVJkRJdccgkAkuq2AouEb8k2vFX1pPqaSfUcJ968ByQJV2E1aqSURNt+lEAu/uXnkeprBj2DmleOr3o1qcGTaEMn0fU0V175JrJZjr9uO4FVFyArKnAJ2lgv4498E/QMmhrk9ttv5/bbb0dWXVRXVVJWVsZ///d/s379+tf13b1evDDYJJNJOjs7KSkpcVw6Hfze4QSXvwK8lP3wa9EGS6VSNDQ0kEgk2LRpE+Fw2A5Mc4+haRo///nPQZIZf/ibgInkCaD1NjHa24Tk8iB7Q+gzo+K//QXosUlK3/010mO9xE7sEQHAEEFQ62tm9N7P4yqoxlO5kmjTYxjRcbwLVhNafwWZ8T5SQx1oA+1kJgcA8FavI2fDFQzf+QlkTwB/7Wb8tZsBiDY8wtS+2/FULMeICyqyCQz96P9iJKZQwsVEdr0LxRsisOxcDD3DxCPfIj3Wg+wPYySjxFv3EW/bj+wJIvvDIpC5PETOuwlPSS1GKi7KgaeP0NnZSGdnJ7t27UJ1ualZtJDzzz+fG2+8kWXLlv1B9dKyWVI2s3RcOh38PuEEl79gvJL98Ksti42NjdHQ0EAkEmHt2rX24pQ9VvYYDQ0NnHfeLuLxGJ7KVWSmBtGnRyi88p+RVA+pvmaSvU0kTx0G1U1g2U6RGcQmkSSZRPuzxE88iezLIfec68A00QZPkhpsI9XbRKpX9HhQVJBlMlNDuEqX4CqsYqxvtsSW7GvGXbiAWYLALCSXxz5nIxkVrz95CCM5A0joU0OM3PVJJLcPJbcIfXIEU4vhr9tOaO0bAEiPdpMcbCd+Yo/1PhP0NFP778BdvAjfwg0Y6RQpK5iGt74VDIPU0Ek6+lpp/cY3+MY3vkFpaRk//OEP/mCL9wtLcI5Lp4PfJ5zg8hcKwzDIZDIvK+EiSdLLlsUMw6Cjo4Ouri6WLl1KJBLh//2//8cNN9zAypUr5wWX9773vfzkJz+x51dSPY2giPJY7MRT5Gy8ksDycwksP5ehn38cIzGFpLrJBoCJPT8UGYsJargQPTaFp3I57sJqjHSS9PBpcVKyiiuvguSpo2IWRlatLMfEU7GCVG8TZmKaqf2/AFkh1dtEtPFRPOXLUCNl9rVpA22kh04CkB4+BRLkbH4L3gWrSfU2k+w9Ia7BNECSSXQdQ4+O412wBldJDclnfwlGBl/tFryVK0UQHGgjeeqICJ4W3OXLkL05uAur8C6oJ9FznKmnfwqGTjQW/aPZCLzU315NsHHsBRy8GjhU5L8wvJbZlePHj+PxeKitrX3R3xKJBA0NDaTTaVavXk1TUxOXXvYGEvEYAG6Pl2VL61i8eDEdHR0cO3ZM/HtZHaE1l5Ie6yE1KMpVphYHILz9OoL1FzD0y3/DiE3iq9lA/OTzmMmYCES6hru0Dm2oQwQMWRHBSk+j5BZDJo2pZyi96RaMVJzUQBuJ9mdJdBzAs2A1rkgp0aMP4iqsJj1yWlyINUcDJrI3iByIWLTnOZBVMDJ4Fqwm74IPILu9gMU26zlOzsY3kextQhtoB0PQqMFECRUQWnc57jIhyGloScYeuAU9KmjLcqgQY0YMfaK4kN0+jMQ0sjcIskJQNfnpT39KRUUF5eXleL3eM35Puq4TjUYJh8Ov7iF4CUxMTNDc3My2bdte83uzy0SW9px9tpxg4+Cl4GQuf0F4rRIuL5W5ZA29iouLWbZsGf/1X//F5z7/eSRPkMiu94iewlAHjW2tdlABMW3vLqlFCeThipThrVrN+KO3krGCS6L7GN6Fa5AkGSOdIta8FwwDMJEUBVOHgis+CoYhGGV9zcwcuR85kItv4XqSnYcwMxbF1uPHV70G2e0l0XEAWfWQ3SalR07PDlsioeZXIHuD6MkomfE+O7sKrb0MZAVtsANtsINU1zEGbrsZZBVP+VIycTEPE1r3BkLr3sDUs3cSPfoAsi8HxR8mPdbD5J4fgKwguf2YqThgoOaWkpkcoOAN/4DsDaH1t5Lqaybe+jSobvx120mePoqqiO9pZGSErq4ufD7fPBFOt9vNoUOHuOjiS0hrGqGcHNasrudNb3oT1157rc3Wey3Px+td+M9knAaOS6eDl4YTXP5CMNd3ZS5D6OXwwp6LYRi0trbS29vLihUrCAaDVFdXMzI6Bpj4Fq7DlVeO7A3iW7iW6SP3Ez+xBzDFYg5ED/+W6JH7QHZZviygFtWQGT6J1nOcoZ981P48yeVFySsmM9aDr2Yz8eYnwTSQVBeeiuV4KpYTbXwUSXEJ8oGhY+gahpZAdvuyRxHnrmskjj9uH9tTthSPXa5qJTPWPe/ag2svw79kG5KiEqjbjjbey/jD3wIjjaugilR/C+gZkCT6v//3mOmkyKzKlpK7/VqRhWQ00iOnmT58H/rkIGDir9uOkU5a5AIJxRfCV7MBX80GUoPtGLEJJEXFxESWJVwuF0uXLiUYDDI5OcnExARdXV00NTXx8MMP881v3Yrk9hNcsxttpIun9x9k7969fOQjH0FRFNavX8+NN97INddc85KZTxZnm/YML+/SmclkmJmZobi42Ak2f4VwgsufOV6N78pLYW7mEovF7Cxk27ZtHDx4kDdfdRXJRBJP+TLSI6eJn3iS+IknQfUCBmQ0lHCxaIybhs34mtr3c8tFUiAzImZP5FABal4lWncDSCb+FbvsvgeI8zC0JIpvroqyBCYkuxpEuck0Gfjeh5A8AdxFC3HliQHQ1Omj9jtceRXkbL4axRfCX7MR0zCY2v8LkqePkC1pRY8+SPTIAyjhImR/mPRAO5LHT2Tne3EXVWPqGdJjvSQ6nydx8qB9bG2wndH7voS7eCHeheuFEObkgN37UQK5pMeED02s7QCxI78FSUINF6EnpjENg8z0KPrMOOlQwA7uqqpSUFBAQUEBhmGwefNmWltbkTwB8i68GTVHTPCbhkG08VFiTY9jSAoHDx3h4MGDfOhvP0xBQT7r163jHe94B29+85tf8jv/feBMis+xWIyWlhZyc3Mdl86/Qjg9lz9jvHB25bVKuLS2tpLJZMjLy6OpqYny8nLq6uq44oorePTRR5H9uUR2vhNXfoUIYtPDRE/sIdn5PABKTpHom7Tuw0ynKHnnlxj59f+QGe3CU76cnC1Xo0+PiJLTQJsYTrRKUpgmrvwK9HQSY3pktj8hybiKFuKtWIGnYhmj998C6RRg4l24Dv+SbaSHT5EabEcb6rR6IHNg9U9AElTnUCFGKo4ZE30QX80mPBXL0AZPkuxvwZgZnX2vJCN7ArgKF+BduA4jFWfm4N3W+Rq4y5fjLlpIqrfJ6ulk9cpkJE8AMz6Ff+kO4i1PZw+ImleOK6+c1EAbhj2bIyHLEvv372d8fJyVK1cSDof5yle+wr//x38gSzKZTNoe8gQJye3FFSnH0NNkRrtQc0uJnHcTsi+H9Fgv2lAHiZPPo0fHX1LxeXR0lM7OTjZt2vSqn5HfBVNTUxw/fpzt27fPy2zmCqQ6Lp1/uXAylz9TvNTsymvF+Pg4g4OD1NfXo6oqa9aspa1NZB1GYorxJ27DnV+Jd+E6tNFukp2HkFQ3ZkZD8Yet7EeHdIqB739YsKtkBcntJTM9jKdoEWpeuSgzAe7SWtRwMVp/G+k5jfVs49tdtpTM5AAzh3/LzKHf2OU22R/GU1KLmluGu6AK3+KNjD34NaFyDBDIg9g4uedcj7u0llTvCWLNT4keiyV4KXkCyL4Qij9MYNX56LFxUjOjBJafh6d8GdqQYHyleppI9Ry3AqGJEsxHnxlFCeUT3nI1iVOLGH/kW0iShLd6LdrIKfSpYQDiLfvsa/JUrCB3xzuQFPEz02OTTOz9MZmxHgzDpLa2lmeffRbDMLjpppu4++67AQlDhvC2a/FWryYzOYQ2dJJkXwvaYJt9bD0+xdTBX+FbUI+nao2gdEfHARNJUs5oB302y2KvBoZhvEjxGRxL6L8WOMHlzwzZMlhHRweKolBZWfm6fnwzMzP09YnyzbZt23jsscd4x3XXo6XT5Gy+ytptd6ANtIkFt7/FNvOSA7liMTVN4icPQTIKkoTsDeBbsIbUYMcsJVdSxOKOiX/JNkIbrhTnuw4y8SnGH/wqRmIaye3D1BJofUKWRfIGMRPT4A7izitBGzol6MXP3gEuL6STgImroIr0aDd5269l/OGvA6CES0gd/BWZsV7UvHJCay8Tu/vBNmInniR2/DH7PqjhYlxFC1ELFuAuWoi/dhujD96CEZvAU74UPTZFZkLI+yfanqHv5HOQTiL7c8k7/32oOUJHzUhGibXsJdb0hH3sVO9xhu/8BEqoEHfZUlL9zegT/UguL2ZaGIONj4+zes0aJicm7HslyQqJkwcx0gl81evwlNYRbXzEPq6nqh6MDKmBdrT+Fnj2TjANlFAhstePPtbLU089Nc8OOhQKvSi49PX18YlPfIL3v//9bNy48TU/Q6+E7GzVmeBYQv/lwymL/RlhbhmsubkZRVFYunTpaz5Gb28vLS0thMNhVFXl05/+NL+9734wDVzFNQRXno+raBGyLJPqb2PiqR+BoeOr2UB6vE9kA1n1YmtI0VW4UJRprEa7kYozue9nYrctKbPlK9WNmlOIml9N8tQhyKQIrr6IwIpdGPEpUoMdpPrbSHVnWWiSEI+MlOLKqyDRewIzKrIV/9IdIsC17iPvwpsZf+Sb5Gy9hunnfg0ZDcntI2fTW/BUrrIXucln7yB58jlxaLdPlNysbAu3H1KCah3ecg2+RUKuxdASpPrbmHr2F6LJn4XiQg3l4y5bimmaJFqeQlJcmBkNd/kyAnXbxeBo93GMxBRIMp6yOlBUUt2NVFVV0dvfj2Gx+5AVXAULUPxhUn3NgkQwB0peOfp4H+GdNxJccR6mnkEb7mT6wN1ow50E6y9E629FH+uip7ub//mf/6GsrIzly5cjyzI+n490Ok19fT3Hjh3jiivfRFpLWZfiZlH1Anbt2sVNN93EypUrX9NzdSaMjY3R0dHB5s2bX/N75wab7P8cl84/LzjB5c8EL7Qfbm1txTRNli1b9qqPkclkOH78OOPj49TX19PZ2cnb3v52Bvr7cZcvw0hGyYz1AqboXSgqpJNIvhzyzns3rjwxhGhoCWLNTxE7/jhzJ+Al1Y0SKsRTXkeyvw19vBd36RJyt12LaWRE72Wwg2TXMbGgmwYoKq78KrxV9fhqNmAkZhh7+OuYySiBZeciB3LRBtrRhjosJ0r70witu4z0zDjJ9v3knvcuJp/8vsiuZAVXXjnp0W6rJKaAJyCyHV1DjZSTmejDt3QHuTuuQxtoF2W0psdnP0NxoQQieMrqcBcvYuqZX2BmUoTWvRHvgtVoQyfRhjpI9rViJkR/Q/JH8FfXEzuxB2/1WvIv/TtALJRT+35GrOkJQmsuRhvtJtXdaF+HklOIq7CaZOchgvUXEN72dkzDYPyRb5HsfB7ZF8JIxUWAtnTY3CW1BFdfhLdiBZN7fkSs9WlCqy8i2XuC9EgXa9es5sgR4dQpKyoV5WXU19dz7rnn0traym3f+x6SN4fc7e/ASEXtvpgoM0pIisKyuiVceOGF3HjjjSxevPg1P7MjIyOcPn36rGRFL+fS6QSbP004weVPHC81u9LW1kY6nWbFihWv6jhTU1O2oVd9fT1f+MIX+NSnPoWBJHbpC9cBYKSTJHuamH72TiEemYXqRg0V4q1YTjoRJdXxrNVwTqJGygmtu8xSFW60/VKQZNEcr1qNr2YDyDKTT3wfbbAdV+FCvAvq7RkTMzPf2ti3ZBuh9Zcjy6Jym4lPMnbflzC1BNmMyb9sJ/HWfbYOGYASKiRy7o2o4SLMTBpt5DTxtn1ClDL7qMuKYHbllpB30d/izi8HYOTXnyU92k3kvHeR6jtBsscyGrNICLIvhK9mI77Fm1H9YTLxScYf+KolAQPemg0o/lxijY/iXbiO/Es+PHv/n72D6LGH8a+6gETzHnEdkix6QbJim5OhuHGX1JIe78WMT+KtXkd481UgSaTHeoRVc+szYqZGUSl//7eZePIHxNuewVNWN9srMk1Cay8TqtRDJ9EG2shMDs67x96F6wks24krImwKkv0tTO75EZKi4K1cRWqoAyM2CYih2ZLiIu666y7q6upe1TM3PDxMd3c3GzZseFWvfy14KS+bTCaD1+vF4/E4Lp1/ZDjB5U8YL7Qfnlu/bm9vJ5lMsmrVqpc9hmmadHV10d7ezqJFi6iuruamm27ijjvuxM46VDeunCI8lSuQAxGmD9wFpiFKSqVLRKN7sJ1kbzNocbIsKcUfRo9NIEfKKX37J+3PG77jE+jTQ5Ycy4kXlXdcxYuJ7HoXsiUPY+g6E49+k/Roj7VLj4mAIcmiAR8qID0kJFrEZ04yN2NCdUM245BVlEAu7tJa/Iu3kOo9QbTxEWRvkPD2a0Vf5wW7dGQZNVKOkYpiaEnK3/N1DMNg4pFvkux8HldBFUpOIVp/mx1IkF1gpAEJtbCKzEgX3pqNyIqLeNszyIE8wluuwlO+DCUQYWr/L4kee0gEEEMHJJRALrnnvQs1p5D0eB/a0EkSp48KarMF2ZeDu6ga78L1uEqWML3vpyKAAEgKoY1XWEOardZmQAReV2E1ofWX486vEvdYSzL6wJcxouPiraFCzKx6gOoWAVdLIAdyyTv//aghQX3WYxPEO58n1iB6Pu985zv52te+Nu/7zGQyZzRNGxwcpK+v7w+iBp0NNs899xzV1dXk5+c7ltB/ZDgN/T9BzJVweSk22KsRncwaek1PT7Nhwwamp6dZXLuEgf4+fLVbCSw/16b1pvpbSR97yN71qrnFwuHR7cO3cB2yP5dUdyOmJOOv244eHUMb7ADAmOij/7s3E9p0FaH6C5BdHgyXl/xLPoxpGEwfvIvosYfEDt3QSQ91MPyLf0P25aAWVKINn4JkdI44pIk20oU22EGsZS9G/CRIEv6l55CZHESPT4nAld2l6xlCG65ECeSKwNHfRqJtP4m2/fb1eKvqUUL5qP5cvJUrSXQ+z9SBu5AUN56K5WiD7XbG1fedD4jeiqnjrdlMeNObxLmbJvrMKJNP/1QMSVoqAJmRbkAS98cKpEZskonHvgMIyrae7e1kvzIJjIxGtOERvAvX4Slfhj4zhp41VAMCa9+A1t9Csvs4ya4G+98lbxBkFTM+ycxzv7YIE4iAH4ggKS7SI6cZf/BroKiCHBGftpr+Begzo5S8438wkzMkek4wc/BOO+gYsUlG7/8yak4hnvJlyP4wscbH7WwvEAigaRput1s8Vxs3MjgwSDAUon7VSt74xjdy3XXXkZube0bG2u8L2aBhmqY9RzPXOM1x6fzDwwkuf2I4k+/KmXZar+TFkjX0ysnJYdu2bfzsZz/jbz5wM5gmSjAPd2E1sj8H36L1uMvq0EZOY6ZieCqWg6GTGuxg+sCdTB+8W/ReMhq4vORd9EHcBWI3bBo6ic7DTB+8EzOdJHrkPkL1F4AsgyWcOf7Al0j3nsBVUEXuOdcjewJW4GgnfvJ5tJ4mu6GeGmgH6X78i7fiyqtg+vlfC78Xq6mv+EJkpobANKzduwSmgWfBGjyVK1H9YbwVK8hMjzD20NcwtQSesjrS473EW5+25VckxY2ZiqJEysg79yaUQK4IHNFxYk1PkOh8zi6hJU8eJNXTiCuvHE9VPbHWZzCmBvBUrSK85Rr0mXG0oQ4xdzPQPucbmP1u9Onhed9NYNm5SC43qYF2ofbc00g245B9IUHVHuwgtPHNKIpCsvcEYw/cAoaOmlM4W96S5NnAAnjKlxPe9nYR3JMxtOFOok1PCLab9bqsD87Mc7/Ct2gT0efuxoiOE1i+C1/tZtLDncLHZqCVWOOjdklQcvsxk1HGx8d5+umnGR0d5e/+/h+Ix+NikzI9wv7nDvPMM8/wsY99DJ/Px1ve8hY+8IEPvNIjf1ah6/o8227HpfOPB6cs9ieEuRIur9SY7OrqYmxsjHXr1s37d9M06ezspLOzkyVLllBRUcFb3/pW7rvvPtRIGbI3ODt8KMmgeiAt6v9zGVKmoZMaOsnknh/aC7xo9CsoflF2MiWFZPszgiFlGpZciiUUqbhEkEknQZJRcgrwlC3DX7sFNZTP5LN3kux8DiVUSHDlbtKj3aT6W23Rxyyyu35J1/DVbCTevJfs9l+NlGEkZuxSleTygieAGR0D1UPknOvxlNVZgWOMZM9xokceYG76ILl9uPIr8FWvIT01Qrx5D4o/l9xzbwRMi4TQjjZ4cpbxJit4ypdZGcdyAKb2/dRu0qu5JfhqtzDz3D1zrkTcv8DK8wmtvtj+Vz0VY+y+L4msSZIIrr6Y9Hgfqe5Gym/+PpP7fk6s4WFkX4jIeTfhyquw/GI6SXY3WqoD1ieobpRgPu6yOvyLNxNr2UuifT9qbinhLdeQmRIzM6n+1tm+GCITCtTtwLd4E4o3iGEYTD5xG9pgO+7SOiSXB22w3e53eX1ekokESAqRXe/CU7rEevYMtJEuJh7/Luhp8vLy+M1vfkN9ff1LPsdnG3v37mX16tXk5OS87Ote2LMBJ9icbTjB5U8Ar0fCpaenh6GhoXnN0rmGXqtXr2ZkZISt27YzMz1FYNm5BNdcIso7egZt5DRTz/zcWmSswDGHIaXmlTNz8G5MPUNo/RX4Fq23S2jJvubZyXZJQfL4MLUkeAIoLrfdBJcUF8H6C8nMjAqK7JwJdTCRg/nkX/gBFP+s2u/Uc78i0f4sskdIo5gWNXgu7RkgWH8RgZW7AQl9ZpTUQDvRow/MEgMkCcntFwOg1WuRvEERKE2d8OarUXNL0YbaxazI0Ml5pAB3uQiC7tI6ZFkmfvI5uw+FrOAuWoQ23Gn3TrLnpeSWYMQmMZFEwM5O8JswN5NBUVH8uci5ZaT7msFII3uDGKk4obWXoo2cJtXThKdyBameJus9LtRQgQgctVvQo+NMPPE9O+B5FqxB8eeQ6jluDVOKe4AkE1h+Hv667SheIXQZ7zjI9MG7xCZAkpE9fsvbRhAKsi6g/qU7Ca27DEkSJdjM1BBTz/yCzGS/dU2mdZ99uPIqUIsWEW98TJyTrFBZXsqPfvQj1qxZM0/K//eJPXv2sH79+tcl6jk30AAvcul0gs1rgxNc/sh4vRIuvb299Pf321Ieo6OjNDQ0kJ+fz4oVK1BVlauvvprf/va34rjWrlYIQq5g8qkfYcQnBeMrkybv4g/ZbC99eniWIRXIxb94C/6aTcheP+mJAcYf/RamlsS/dAdmOvminTCA5PaRd+HNuHJL7H+Ln3ye6WfvYF4zXpKQXD7k3FLM+ARGdBx3WR25265FcvvQp4dJDXYQb96LHp+cN23vLliAd9F63AULGHvo6xixcRHU3D5Ca99Aquc4qYG22SzNNHAVLRJzPMU1yLI8r4QGoBYtIjNyenb2xTTFf3sCKJ4ARnyKsvd9CyOdItr0JDMH7pylVcMLSlWSCBB9LWBkKLzmP0Ug7Gsm3vEcZnJm9nMkBXQNT1U9qe7jZIORb8lW3IXVtl+MEZ+ce5dRcovRJwcJbnwT4Q1XApCZHmXk15/BSMxYJTIROCSXF8njw4iOI/tzMbU4kstDyY23kJkcsJSb95MePjnvu3HlV+CpXEWi6yiZoZN4KlcS3vpW9OnR2ZLgYKf1vVo0dtOgMD+PW2+9FVVVCYfD5ObmkpeXRygUmrdIf/rTn+Zb3/oWF1xwAddeey3nn3/+617En3jiCTZv3ozf739d789ibrCZy0ZzLKFfPZyeyx8RL5xdeS0ParahP9fQa9myZZSXl9vHKS0VFNPI7veRGmgl2d1A7Phj1oS6hLd6jSixDHbgW7gOT/lSUv1C+sVTJsohqf42okfvJ3r0AdF70dMgK+TufjfeUkFJNU0TbbiTiSduAz0j5GG0BGP3fwnJHcBdWIVh6KT7W0XtXtdw5VUS2fUuUr0niJ98jvRwp72TzkwMMP3cr/At2ohaXIM2/DB6bEJM21teMZqlGpDqbcLOhAIRTNNAAkJrLyW09lJMPc3M0YeYOXgXSk4R6ZFTTDz+HZBVkS3Ep0BRUPMqyIz3Unjlv4Cpk+xqZPKpH1gy+kAqhp5OgqEz9cwvMEyTeOMjyL4cIufdhOLPRRvuRBvsINHTZM2+mKQG2oT6QHIGI6PhW7iOVE8TZnIaNVyCf+k5pEdOkepvw0hopLpnG/euklpCqy5G9vrxVa8VDLZHv0V65DRqbgl6YtpSY4bo4ftJdTUQXHUB/iVbkT0BJMVF8bWfsQNHqvcEydNHkDwB/Eu2EGt6UgRjScIVKcNllU0nHjlJ7q73YCSjlgNoC9pAm63QgGGQ6m/DU7mcQH4FZkZDG+xACRXiq15NarCD9Gg3IyMjvOUtb8HtdrN161be+MY32jTmcDhMJBLhk5/8JL/4xS+RfUHuvOsu7rzzTnsuZ/PmzXz4wx9mzZo1r+o3MXfY8neF49L5u8MJLn8EvHB25fUMfsmyTCaT4eDBg2QyGbZu3UpnZydr1q7DNAzOOWeH3fD3LlyLv26bLT45fMcnkD1+IfEyeBIwibXuY/KJ74OpE1x/BYG67Tb7Jj3Rx8Tjt1klKkGlnXziB8jeAO7iRcihQuLHH0dSFMLnXI+nYiWZiT4xMNnbRKr3hDjp7K7eMDG0BK78SlJ9LaRHTotp+nVvJBMdQxtoI9ndIIYts9fryyG86S1iF11aCyt3M33ot8Rb9yL7wsgevy3TYkoyAz/9Z1y5xYS3X2cPf0bOfy+uvApS/a2kek+Q6HgWZJnAsp3oM6NkxsUAaXqsl8knv4epp8nZcg3e8uWzdOz+FqLHHiRb8pLdXlK9zfhqN+OtXAmSTPzkQSTVTXDVBWSmhkn1t2ICY7/6lM0wk4MFRHa/B8WXAzWitDnT+AixxscsK2aJ9GA7w3f9J5Lbi5JTTGZ6CLQEgeXnEVx9CUiSldmdJNb0GOnhTiae/D7+JVuFjMwLAkdw5fn03/YhZLcPSVYAU5Tw5j6bll+Ou6AKV0EVnvJljA7+D6Yu5HvS432kBlpJ9Z0Q90AW6gtqbgmRC29GcfsIrroQU08TPbGHWOOjaBmDPU89xZ49e5AVlbKyUtauWcPhw4fp6+vDt3gTORvfjKmnSQ+fRhs6Sc+pQ3TfcSf33Xcfg4Pz53NeCmei7J8tvFSwSSaT7N+/nzVr1uB2ux0vmzlwgssfGIZhMD09/Tvz7qenp5mZmaGiooJly5bxxS9+kX//j0+Ay4MrUs6DDz9iz4oM3v6veEoXk3/xh1DDxUiqx64tCyaRyeQTt9kMqeiR+4i3Po2npBZ36RKmD9yJqSVE1pFJUXDFP5HqaSLZc5zk6aNkZ0Ukl5fU8CnUcCmu/EpMXRdT/JJMsP5CzLQmvFUm+tGnBun71rsF3Vn1EDn33bgLBQuN+otIdB1jat/tZA2/jMQ0Yw9+RbC9/BHQ4pjJGTwVKwhvexuyy2uZmJ1k5vhj6JODpKaHGe7+F9tuOd66j5xNV+GrXoOveg1mOkm8/Vlktw/NKkumYzOM3vMZAJRgHoaWBFnBu6AetXCBkGUBfLVbRElwoI1ow0NEGx6aVWR2eURJ0LJVNk2TVH+rMBazSmZGdJSRX33KLjuZmTTpkVOCVbfzRmRvUDTgB4XacWa0C9HjkImffJ7M1DDehWtxVywn1fdbjMSM+B70NEO//Hcy02PIwTCJrgbGH/wqksuLp3wppp7GME3SE/2YaQ3SKYbv+ASeypV4KpbZ5UFkheiJPUw99UNQ3eRdePMsS1BPkxpoZ3LvT2wF6szkICN3/ZeYyymuwVTcpDqeRQnkEtn1HqHePHIabbCD/r4T9N57r/052lAn08//WihWly8lNdyJmYwC4PP55mmidXZ2svPcc4nk5vKGN7yBG2+80Vap+H0GlxciG2wMwyAej6OqqsjgHeM0G07P5Q+EuWn1U089xcqVK8nPz3/NxzEMg5aWFnp7e3G5XOzcuZONGzdy4sQJ3MWLCW+/FsUXEk370S6ixx4iPSIWpqJ3fA5XuJCBH30EI5MGLWYvdp7KVeRsfBOZiX577kWfGpqlorq8SC43RmyK8pu/Z59PemqY4dv/GXdZHXpscnZOw5qLQFaInHuT0NSyoI31Mf7IN0BPI/ty7H6NpHpQc0swTYPMWA+SJwB6BiVUQMEVHxXZxsnnSXYdtc87qzvmrVqNd9F6Zg7eLVwe88oJb3oz6ckh4Wo50GqXuDzVayi49O+ZeOJ7xNufxbtwLcmTz8+j9ar5FegzY9YkvSQClLWrD+94B74Fq+3vNT05wMSj3xZ2ztnrzhIKChYghfJJtu4Tf8NEcvkoeOM/kuo9YZWdmkUTXZKRPH7chQstivhSEu3PMnPo13bgz9l8FcmeJjFjNMduQPIGkWQVIz6N5BbKCaLMKGZfZG9IqFCbxov6QpLLK4gQc64/uPpi4u37MSw3TmTVUqZejKuklpkDd2JmNMJbrsFTuVKQPYaErXXGHgKVkAO5eMqX4l+8BVekFG2sm/FHbrUYiBBYdQGpnqY577He6fZjKjIFAS8//vGPyc3Npbm5mff/zQfQkZHdfvSYIC64PV5qF9ewefNmLr/8cnbv3v0Ha7wnk0meeeYZdu3aZQcOxxJawMlc/gA40+zK64npcw29VqxYwcmTJ/n617/OiROi7CRsd3+Ip2qVoO227hO+I4oL9DQjv/oU/oXrBHVXT8/Kj7j9uIsWIikuPGV1uEpqyEwMoE8N4SqoQs0pFE17Swqk77sfwF1QTeGb/sVmIAWW7cS/ZBt6bIJUbzOT+34qFnNDZ+KJ71mMonLkUD7JjoNIqovwjpvwViwnEx1Hs0poWl+zdbWSKNGYOkYqhuQNYGgJkt3HkNxewpuuEj0Ba75kZvgUM8/fI97p8hJYdg5KpBxXfiX+mg1Emx4nevQhwCTV00Ss+Wmx09V1kiefR3b7CG24gvTEAPETTxJacym+2i1zzM9ayBIRpvb9jJlD9wqzstI6Zg7dC+kkwTWXEVh2jpi2H+wgNdhmlY8A1U1g6Q7ibc8iSaLs5C6oIrTmEmLNe5l88nv4l+4Qwd2efbGguFFzCshMDBBadzmhdZeT6mtl9L4vgqmj5paQGe/HtDIbO/sA3KV15O54h8jsLOfMWPNeIShqiga8qWvzAgtAtOERMA3UcAnh7W8n2XuCVM9xEh0HSFjCn7InQHqiH1d+FZ7ypbiKFzNuDdYCuIoWYqTiswOtikv05FxulNwKMmO95O64Tjy7k8OM/vrTGPGpeRuOsVSCf/zHf0RRFBoaGlCC+eTvfi9qKB89PiXsCHpP0NTUQFNTE0VFRZx//vmv+bf1enGmsYGXs4TOunTCmanPf0nBxgkuv2ecaXbllQYgz4T+/n6ampqoqKigrq6OqakpDMMgHBY03tD6N5KZGiHZ00j6yH3Catia41BzS0kPd2ImpoidsCThJQnZn4Mrv1Iszod+w8zhe4WcvZYCDPzLdxFafdG86fSJPT9Enx5GG2jFNHS75GQahvDv8IXx120j2vQE+syovUNP9jSh9TdjDnZYFFlFNJdlFVfJYtRwMelD94IkE1pzKUgSqYE2tKFOjPgkA7e+nywTKWfDm/FWCdkb/5KtpAbamXjyezY12NQzTO37Gez/JbgDwm45nUQJFWAkpjEzGpNP3sbs7I6L8I534CmpxVNWJ9w2AVM3mNr7E7TBdlF+23K16KEMtqP1t5HsOmb3hSS3Dz02TnpyEHdBFWpuCcnu2QCh5hRaitFZNek5sBaf4KoLceVXkIlNMXL3f2FEx1GCeejRcVG+lGSGfvav4A2QGeywyARCUNRIJ9GGT5HsOUHy5AH70NrQScYf+rpNYU5P9KMNtqP4I+Sec529QKf629CzcjBA0ds/zeg9n0ZyefAuWI13wWqmn7uHmUP3ooQKcBfXoA20Em/ZS7xlL3OtFZRIOfpEH/6l5xBccR56fIpUXwuxE0+i9bfiX7rDcusU90Eb72fk7k9CJkV469vwLVqPHp9EGzyJNnSSphNHyOrcGckoU/tux1OxAt/iTbjyypk++Cv7vD0ez7wF+qqrrmLPnj2sXbuWyy+/nBtuuIG8vLzX8tN7WRiG8Yo067nB5oX2Ai8MNn9JLp1OcPk94eVmV15LcMlkMjQ3NzM8PMzq1avx+/2sXr2a0bEx1q1dy44dOwDwVq/FXbRQ1Mn3/hhJUUXgGD4lmFgvnOauXEV4y9XILq8oQ433M33oN3YJDSDe8hTJrqN4SpeIxeXg3egzo6JkocUZ+N6HcJeJenesZa+lSiyhBPMxMilMPY3LcmIM1l+IqWfo//b78JQvw0xrYgiw6xggI6i3Ejnb3obfEtEMLNtJJjrO2P1fFmUeSQJTZ2rfT5l69hcogQimKWHMDCO5fUiyCpJEyfVfEAoAnc8Tb37KnmHRYxNgGBZjLT07HKqnhVSL6kYOiIXHNAyGf/YxUXpRXCIwaUncRQtxFy1kKhUnPdYNiBKOEsgl0f4sifZnRcA1DDB1POXLSPU1C1M1LYGppzHTKaafuwdP+XLcxYswswKhkkRq+DSjv/ksZDRyNl+Ff/Fmu5ekDZ0k3n4AJq2FVksw9ewdeCqW4Vu8GdkbItk1O1TpKl2CK1JGqruRePNT4l5YC7pnQT1yIIIrvxJv5Uq0kW7GH/uWbSmgDXUKYoEs+grDv/g4+uQArpJaIjtvQHZ5xT2NTxFrfkoIiFrPjT7RB5JM9NiDmFoCX912/LWbRcAYaLP6YzHAJHr8cab2/VTcL8VFvOMAeiqGv2YDnuq1xDsO2oFF8oXxli8l2dNE+tiDFrFCQAkVos+M4PP5OHjwIKFQiPe///0cO3YMV8ECDh5u4MCBA/zbv/07OTk51NUt4UMf+hBvectbXtXv8KXweiRuXo9xWpaZ9ucUbJyey+8BrzS7cuDAASoqKigvL3/Z48zMzHD06FHcbjerV69m//79vOWqq0kkEqjhYksGxBqEC+RhYmJGx1DzK4nsuB4lGMHU02gjXcRO7Jnna4/iRg3l4ylfjnfxRmYO3o020Ga7TIZ33og+PUyyu1GwqLK9F9WN5AthTI+86HxdRYtw5VeQ6m+xnRmzC3Px2z+FJEn0ffNdhM+5geDK3RhaAm2gjYmnfowxdzLf8nyRAnmkexpBVgRtODFD6bu+Sqq/lUTPcRItT836q1jqycgKJdd/Hm2gjfFHb0WSJMJb3gqyLKT1B1rnDBmKgBtcdzlKII/0SCfxU8cgJczPQJR+JJfHdryUVA/IovSkRsrQo+Mo4SKKr/lP9Pg0qb5mEp3Pk+x8HnfZUhHwjz4gMpD49GyfJBvsFReSNwczNkZo29uJPvcrYW2suHBFyvBUrsK/eCPICmMPfhV9agjf4s24C6tJDXagDbRacyxzbl9eOZnxPvwrziOy80YAMjNjjD9wC+mxXmRf0CYASC6vMH+bHBB9NdU9f2bJlyNC/9yJfpcXV14Znsp6TCND9Mj9yL4c8na/RzToLWuF1EC7PUwqeXzIngD69ChKwQL0sawdgowSyMVftwNt5BTaQPuLfWzCxaJEW7SIoqv+TVgYPHsHsWMPIXsDmGnNGp6V8Pn9rFq5gqYTJ4hFo4TWvxF/3Q7AtF09Yyf2YCSm8Pv9r5qJ9lIYHx+nra2NLVu2/E7HmYszWUJfeeWVvO997+Od73znWfuc3zeczOUs49XYD2dZJi+FuYZe1dXV1NTU8Ld/+7d873vfRw6Eyb/43bjyK+0dbbzz+Tm9CtCnR5jc/3O8C9bgW7SeZO8JMadgNZt9S7YhKS4x99L0GLGmxwWz1uVFCReRGe3GXbQAt2VIlZnoF0rDxTWi93KGwOJffi6h1ZciyTKsuxw9McPEnh+QGetBnxwgNXwab/FCsPTADCODKcl4F6zGXbiHZGKakus+R6rvhJh96TgI44JajCSJBdfyf1FzS0g++T3QdYL1F6MEcm0SgpmKMfiDv5s9r1UX4i5fhqy68FauJDM1wthDX8VMp3CX1ZEe7SJ6+LeIBdCP4stBT82A7AY9haugkoI3fpTMzKhV3jtO8uRzKDlFeKvXEDvxJNlsQPHn4K/djJpTKHxY3D5hAQ2Wt72ETWEO5AqxSD2NGbf0vp75OUgSal45am4pqd4m0kd+S/TIb+3r8VSsILT+SmRVxbdoPaZpMvHUj9B6T6AEIxipuGXmJhFveYbM5JDoh9VuQQ5EkKZHrKHJQWv2pYlkdwPIKv6lO4T4pp4BQxcLdnJG2DJsfaugjg92oFlyONrQbEasBPNIj/fhqawX6gZFi9AG2jAlhcCyc2zpGTDRx7rsUqDszyHv4g+heEMElu7ANA2SPceZevp28Z0oikUskUiPdjF6/5fJxGfQRzpxFy8md+cNSC4PmYkBW1X64MHnyKoHRI8/gTZ4Em/1GjxVK0m37BXGbUAwGETXdbus1drayjk7z8XlUjlnxw6uueYarrzyyjMqPtu/NavcfTZxpsxmZmYGn893Vj/n9w0nczlLyJbB0um0Pcj1Uins4cOHyc/PZ8GCBS/6WzqdpqmpiYmJCerr68nPz2ffvn2iSWlNn7uLa/DXbMRVUkui/QAzh3+DpLjErEA6SWqwDW1gvkeKmluKq7CKRPsBQluuJmftG5hpfJzpZ25HUlxiMcgacllNfkxDiD9WrSa85SqrhCZ6L9OHfiOEGudMpsueAK6ihfgWrGG64SGMqSEkT2BWwkUWdXlP5SpbNl72hkCWMWJTlP7NdyCjMXLPp8mM9eBdsBpXYfULzMJm5VYCK88nsOpC+8dtpFOM3fdFMXAZKSMzPWITF2RPAMkXQp/oB5eXyM534ilZbMuapPqaRZkl+3OwFk3ZFyJ313vxVK4U5UwtwcBtH8RVWI23cgXR408g+XORTB19ekQoPUdK0fqaUcuXk5mjECC5PASW7kAb6UYbPmllXeIZ8a/Yhae0loknvo9v0TryLvgbTNNg5uiDzBy82+p7zeq3yZ4gSkEV+tQgxswo3oXrCW9+C8iKWGgHO4i370ePToAkUf6B2xi99wtow6coe8/X5z1zI3d/kvREP8GVu5lp3Q+xOfIxpomaV0lw1fm4y5ZaJd0MEw9/i/RYN56K5cI3Z/jUHL06t9CUU1xEdr8PT1G1+I0YOlp2hmgO6QBJRvYGcRVWI+cUkmh6EsnlIbLr3cL0zbIjSPW3ihJv9m3eEO6ihfgWrsNdthRtsE340ahucja9GX1mTATCkdPz5H0ktw8TicJwgNtuu41wOMyJEyf427/7OwzZhRouIT3aBYaOJCsUFRZQV1fHT37yE3Jzc+fdu6GhIXp7e3+vtgKmabJ+/XpuueUWLrvsst/b55xtOJnLWYBhKQC/kpJxFi/Vc5mamuLo0aP4/X62bduGx+MBZtkmvpqN6NFxIWvS3YC90Cpucs+9EU9xDWA1uftamXjqBzYd2LtwrVUKATOtMfyrz5AebLPVihV/rpDDH++bwwiSrMZ6K5NP/xTvgjW4S5cwc+R+tP5W1PxKcndch5GcQRvoEMN13Y2zKr+qG9ntQ0/F8NXtINH6NACp7kbUvHK8FctIDbSLHzImA99+v11f9y/bSWjtG5AkiUDddgw9w8Sjt5Ie7Ub2Cs+X2PHHiJ14EsWfi5pfISi9RprQhivxL9kGpkF6rBdtsJ1o0xOQ9WLRM0wfuEt4vtRuASQxrQ6ENlyJK6/c9nxJj3Yzfv+XAImSG7+EpLrt70sb7cbU4pjpBJjgW7yJzNQgmqVykOlvsYOv7M8l/8K/QQlExHdg6CS6Gpje/3MwTVK9TeSsuQRJUe2S3OTTtxNvehw1XCIspC06sTbYQaKrgXRvE9myqDZ8iunnfo2vdhPu/CqSXQ0isFiBePjOT5CJT4vM8gUwDcP6ntvBlpfJZiT5ZCb6xIyOrAiChCb8dkLr3oB/6U4xbKtnSI/1MP38r61h1mwv61Z79sVbtYrpA3eJwGJJ3hRc/n9FBpV9prPZnSwTb38WX80GPEWLUHMKiLftt8/ZXVYHuv7i34IkE9pwhU0VZ+Vu9GSU0Xu/gKnFxaZjcgBMk5HRJDd/8IOEgkFaWlqE1t3570MN5omBztFukv0tDJ3Yw9DQEJ/5zGf47Gc/O+/e/T4ylzMhFosRCoV+759zNuFkLr8D5s6uzNUfeiU0NDQQCASoqamxj5M19KqpqWHhwoXccMMNNDc38653vYu1a9dy/vnnk3/ZP+BdsFowg/pbGX/km2I3b32FYk6kGMnlQxtoFU1u1YORihFafRHaaK/wps8uEACqB1e4SNT2azehDXUyue9nYsJbceEuqUUbOilmOLKwZECCK3fjr92G7BU6TtGGR4gefwzZG8RbteoFDKTZjMO7aD3hTVeJhRSRcUw9+0sh0ijLs30Uq/fiLq0j3nkYEpP4areQs/4KEQgtIc34yeeEJYBpgKyihovxVizDu3gLsupm7KGvWbL3giHnr90ieknWRH/23DyVKwltuBLVEtI0Mprd5wAIb78O36L1DP74/4rZkHRSvNflITInuBsZjdRguyjtWPMcgNXnysNdthQlmMfM878W7zd1e5jUNDK4y5djxMZFeUuSUUL5eCpW4F+8GTWUT6q/lYmnfogkKYTWXiZUDfrbyEwNzrseye1H8oYwoqNIqhfT+s5dRYvwWkOT7uIahu/6b9FXM00kbwhf7RYyY71o/c3kXfRBPFX1aANtxNqeIdlxcDZbVVSUQB7u0loCtVuYaXjEChCC4p5/2T/YpcTMWI99G7yL1qMNnsRMJyl77zcBGH/8uyRa9+EurhHlt4G2Od9PlvABSqQMfaKf8M53ElyxCyOdQhsUA53ie8oyAIVpnJpfKRQi9DThbW/HV73GpmRrgx3E2p6x5pfmKH6XLMa3eBOyL8TYfV+2n/2Pf/zjfPSjH7V/4x/96Ef5zndvo7iokIsvvpgbbrjhrFg6vxCmaVJVVcXjjz/+IhX0P2U4weV14qXsh18Njh8/jsfjoba2Fk3TaGxsZGZmhtWrV5NKpdi1ezenOjvt5nq2POEqWkRw/RvxV68BYPD2f0F2+8i/5MP2HEKypxEzFUcO5uGv2Sh+2FNDqJFSMmN98xbvQP1FGIlpkt2Nc9SHBdScYnJ3vUvs4kyDZFcD08/9Cgwdd/kyIcGeslwpXV5xiloCV+kSItvfgewRAUdPTBNteITEyYOzJSckJLdXMJUWrCZx6gjpoQ5RQ9/xDjHpPNhu6XQ1Qtoq78kq7sJqvNVr8FavBVlhau9PSPUex1VYjX/x5llJ+WyWYkGJlKHHp1F9IYqv/bQ4t/gU00fuJ97wsCiVWKUau/c0OQgZTcyRTM5fuK0vfTawu7youSV4q1bhKqph4rE5Q5WyQmTXe8TQZE+jTSiQ3D78tVuItewVDLvYpN2YxrJxNtMpUgOzM0b2kKbiIu+CD+AuqLSvMTM9wtgDt2BmNGR/WOimwYuYgllhSfFvswu3oBNb5SNrNsq7eBPh7deS6mpk8qkfInsCIltNxSxjtjk2CZIshi3dPozkDOUfuM3+SCMVY+RXn0aPTRJcuYtY815MPUPJu25h8McfxYxP4qmsJ3fHtZY0DRipONHjjwsfHtvBE4vAkot/8Wb8y87FlVvM6P1fRutroeSdXxTyPlY2ZA9nyipqaNaOQA7mM/XUj0j1ncBTVY9v4dpZSrbtv5PVrMvDiI1z8803c/nllxOJRPjMZz7Dvffei6tgAUY6aW9AVJebqsoKdu/ezRe/+EXOBgzDoKCggKamJpYsWXJWjvmHgBNcXgfmzq7MNSR6tThx4gSyLFNUVMSxY8fIzc1l5cqV3Hvvvdx407tI6zrhTVfhXbhWDNUNCJn7zMhpAHJ2XEdo1QUM/fz/gSRT/Lb/to+diY4x9ON/xF26BE9pLcmuBjGZDSApeKtXo+ZVEj30a/Iv/wjeypUkB9oYv++LmJk0rsIFpEe7Rb1ZdaPmVSCpblEGyy0md+eNqKF8u1eRaD9AvO0ZZhdcYU3sLl6Mv3YzidNHSbTvRwnmEzlXMJdSA+1ihsWeMhflN29VPb7Fm/GUiAxg5thDQj7G2lV6K1cK+ZWMZrPXMA1cJUtE2cjKhEzTZObwb4m37hN0WkOfDdLIeKrXEFh2Lr4Fq0icfJ7xh79O4Zs/juwL2jM5qZ7jmHoaX+1m0DP24CBuP2RS4v54AijBPIIrd4v39DbNTvQj4avZSKq/BTOdsnfoIGi+I3f/N+6SWjxlS5g5atkf21mORHjn9fgqZy2s0zNjTDz2bYzYBLMBTrKHU9WCBcSb94BpkLvtWrwL6sVA62CHGFDtOmoHQu+C1ci5pcSPPTgbeKxzztn4JiTF9RJMNEkIYy49B9ktqMiZ2ISgimtJMak/cnqev46SU0Bo0zX4q+sZ+uW/YcQm8S3eLIgQhj7fohor+w4X46lcjmmaxBoeQQnmEdn9XiTFZVGyO0j2tWBaDLbym7/P6L2fRxvpouzd8y2YB378j0iybDuXZll/2Xuo5BQT2f1uVKtcCdgWC7LbJ5iC1mZAdbmpXVzDyMgIo6Oj+JZsI2f9FUiybJuzxdueEUQHTKan5yuFv14kk0mKioro7++3xWj/HOD0XF4DXo/vypkgyzITExP09PSwZMkSqqqqOHnyJO94x3ViTiRUgKHFMdMarrwKkBSLlSQwvf8Oi7KZQlJcjD/6HdIjp/AvPQfvwjXiRYZBZnrUCizWDymQS/LUYTh1GCSZyad+jOQJkBk5JQbydr8Pd0GVTV9OdjeIuQ0LmZkxJp/6kRhgq90imGodzyJ5fORuf4egoQ60k+pvIXnqEMlTh6wgIOEpXyrKXIEIarhYmJYNtIkDSxKuwgUku4+JRTBrOIaJFMxDUd3o0QnyL/sHy4vmFMnu40QP/QaA9GAbw3f8O4o/F1dJLfr0MOmhk7iKFxHZcT2S22dNzbeT6DxE6tQhUqcOz5OxQQI1XIwaLiawYpfwvG98BDWYRyZLqwaxENoyHxlkt5/A8vMILD8P0zRIj/YwcucnUCMlqDkFpKzKTnp6hOn9vyC46kKUnAL7ug0tKbIFw5yTYZhM7f0pM94g7qKFeKrqmT70W8z4hLBI0HWKrv4PUn3Z4dQWi4klqOKJrmOgqLjLluJdsJp4y9NzskYAk0TnofkZjWkSWLELb80GZFkw0QxDZ+yBW2zlZcntJdr4CNHjjyK5fSihQpumHtn9XjyltbYxW2qgneiR+8iM9TL11A/wV38RdB1DzxA7sUfERlkBwxAbltwStKEOq9fVTvrog/ZzIHv8pPpb8S1aj696Da6CqnkDqhNP/Qg9Pi3mnF4IQygYZDc2megYWl8LE0/+AEwDfXqI0Xs+g+TyoIZLwOUlPdCKEi4mb/d7UfzhWSWA/laam2fniJKdh8iM9Vh0/k2zxAar95NKpey+6e+CaFQE+NfqUfPHhpO5vEqYptiJ6LqOz+d73YKTyWSSAwcOkE6n2bRpk+2Yd/DgQXbu3ImraBGZyQFrByzPlgNkFXflSrSuo8jeHIzkC/xT5pXQsH6YYmJdUt2Et78db8UK9MSM2Mn2tZCaM3Anuby4CqqE9P4CUWOf3PtTME1yNr1Z7Botuu/szIPIOIKrL8Zfdw6yRdnURrqZePzbmHoGb1U92shp24dEcnlAcWMmZ5B9IWRPkMz0COV/8x2MVJxY236m9/9STNVnYZWCcra9jcCynchuP4ZhMHDrewhvvxY1XCzKgl0Ns30HSRaaYxUr8dduRvYGibbsFbRjSwwzsPw8UF3EGh4m/4p/YvLJH4Bp4luyBSMRJd66l+CqC6xZnz6b8aX4c+eUWxTkUBGuSAnhbW/HFS6i75vvQo2U4V2wmljzHlE+zIpagv3fgkmXIFuWcpfUEt5+Lfr0iK0CkB3UBPBWr0GPTZIe76P8/d+efTb1DP23fRBXXrnIMl9gfgbgKqomPXzavjfijSJjkd0BjHTCFjqVfSGU/CrSwx2QSthyLGUfuE04hvY2k+o9Pk/tWvYGcRdV4120AVfhQsYf+to8nbnAsnOJte4TWZ/qEVmaaQh5nhW78JQvt4kuE4/eSnrkFJ6KFWCa81iMKG5xDGTkUL5lWmfa9zWwfCee8mV4ypYie4MMfP/vcJfWkn/Jh+fdj75vv5/gyvMJrDiPVF8zyd4TYuNlqTxILo9tbe2rXouRSVkZWoKcjW+anecZaJtfUvaGcAUj6ON93H33Xfj9fiKRiP0/l8vFa0VXVxf19fWk0+k/mOna2YATXF4FsrMrJ06cQFEUli5d+rqOMzIyQmNjIx6Ph0AgwPPPP09jYyP/9E//xNTUFOvWrSPvkr/DW72a1GAnE49+a/5wobXISoEIZmxS/NgkUcrw1WwiMzko5Or7WuYYPgkarqdyBf7arZZ4YK/oCVjDanKwAFdeqTC1mmtpLElCjmPhbBMxEx1n7IGvYGpxXIXVZCb67TKV7A2C6sWYGUb25ZC78522km4mOk6yu5HokfsBE0n1Elh5nqAZj5ym/G++S6zlaSb3/BBJdZG743qx8x8UYojJ/hZBb0Wi5D1fR3H76Pvmu8g99yYCy8+1z2/skW+R7DiAb8k2Uj2Ns8OCqgszo6EE81ACEVG6yPrTZO+taSJ7AzarjjmS8iBslSPn3ogSiIiegzVXkaVVA3ajX/IGMCUFLPtixR8hvOMdGIkZW0hTn5nbq1AIrtgl5lEsvbZE5/NMPSvMyCTVTbD+QpLdx0lP9M8LLmAtlvUXEt5yjTAya3jYIgwwr1cx23tRAKEgEN7+DiRZRhvpEn2u00cx4hMiCMuKeJ+epvCt/407v8L+zIEf/h9kbxDfwnUke44LHbs5vR05EMFIikl8DN3ORrPZuewNCkUI0xD9Hk8AtDgYGQKrLyG4QohBmoZBZqKPmSMPCAfQFxqzZftQMC+Iq/kVZMb6kIO55F/xz7jDxfPuV2jNpeRsejOGYTB+/5dI9RzHW71WKFsMdsyhv8/Ct2Q7obVvsDdSpmkysecH9pxZYOUFaMMnMSf6GBocYHJykomJCSYmJojFYgSDQTvQ5ObmvuwMTRYnTpzgggsuYGpq6s/KCdMpi70MXji78krDjy8FwzBob2+nu7ubZcuWkUwmufnmm9m792nA5NZbb8UfEAtKsusYkifI+ANilxRcfQn+um02MyrV1zJbNzZNlGABZkbDTKdwRUqRXB5iLXsB8NduFYZffS2z0iTZAKW68dVuIdH+LEowQsEb/q8oOQ11MP7Yd0VQM02mnvk5UwfuQg3lI/sjaP0tSKqgPnsrVgjW1lgPyf5W4k1PgCmyGiMVZ2r/L/GU1eFfshU9Pk204WErbknI3oDduMXQGfn1Z0WZzDRwlyxH9gZRAhH8NRtxFywQqsbiookefQB/TZaVYzK57+foMyME116GZGmdRXa/B5AsIcgTzBwWg4i+2s32Dr78/d9m7LHvkmx7BtntI/fcm3DlV6JHx0RA62tG628RHyNJggBw6F68C9fjKV8GiotUfwuS6iFn81WYFktMG2jDTM7ZzUoy/uXnoeaVIcsq3soVIsA/+i1MQ8dbsQJtqJNow8NEGx5GcvmsSfkpZH8YDANTF1T39EQ/6BlG7/0CvsWb8dVutRc6ycpIoo2PMvPcPSjBiJC7d/tn/Wh6my0jM2u4MzFDvHUf/sWb8JQsxkhMi8/1BAiuuVTcP4v1N/LLfxO9r+p15F/8QUFVDuWTs+nN5Gx6M4nuRiHvL8kogci8LDI7AIuescQ0r0O2XFC10dMkOg+JzMFCrPFRoXJQUotv8WaS3Y1owydR8yqI7LwBfWbcUmEWdPHs50iqC1MTwSUz1iser+gEI7f/i8gy/WG8C9ZYAVs8K8O3/wv6zAjuiuXkbH0bsiyLgU7DINa8h+ixh0RlQM+QaNtHon0/sieAUlCFEZtAn+ifZQ+qLsyMWC9cLheFhYUUFhYCwoY8G2za29tJJpOEQiE72ITD4TNmJtFolEAg8Gcl/QJOcHlJnEnJWFEU0un0K7xzPhKJBMeOHbMNvQYGBjj3vF2Mj43iX7ZzHsNJSrUTb94jGrOAml+Fq6ga2eXFU74MV/4CUn2zEi6S5bs+c+hesXiqHrtkED7nBnyWuGNo7WVk4pOMP/g1q6Ql4V+2c3Zmw9DR0ymQZTxlS3HllaGlYhRf/3m0vmbiXY0kO56FySEQIjPEW57GSEbxVq9FdgeE6q0p9MGUcJEgCnQ3zBE2lEFx46/bLPSxMNGTUbSxPgC0/hbcZUtFE7q7QVBaVTeyJyCa2IpLkA1GuogeupfoIeEHMvnUj+x+QvLUYUvWHqYO3Elwxfm2tlmi8znSY732AgyQjo6TbLOk8BWVxOkjyC4vargIDJOZYw8BouwHCPdLi5U32wiXRclxQT0A/sWbxFzFb/8XMxXDlV9FeqKfmefuZub5e5B9ISRPAH2iH9kbJO+8dwnvG8vILdnfRvTIfZjpBJLqwb9kK4mOgxiZFPGGhy3W4EJSA22kepuY3PMDZF8I9AypsV4xvzTUIbIwfy7p0R48C1bhrVqFGi4ieWq2FOqp2US67wTRYw8SPfaQnaVJbj95F30QNVQwe68mBhl76KugpwVxwbJ/zm4QZo4+xPT+XyAHcsnb9R7UcJGd3SX720iePDirWzbcyfijt+KtWCEIE4YxzxguZ/M16PEJocLcvp9E+367d+curMY0DNzFi3AXLyJdtZrxh76Gaej4ajaSHjlNJjugaWWE/mU7UX05trpAvOlxkCTibaKfqEfFZk3rPcHwLz5uWQvUYKpekq1Po4TyyTv/fcieoJibsggFYs4I1MJqFLePVF8LmdEuMuO9yGcIEh6Ph+LiYoqLRQaVTCbtrKa5uRlN02w76GywkWWZeDxOIBB4iRXmTxdOWewMeCn74c7OTqanp1+17erQ0BCNjY2UlpaydOlSvvjFL/Jv//ZvgJDxCG++xp4RMTIa44/eOjsP4PKKQGGaghaqeoTmFeCpWE6q9wTu8mUUvPEfrTp4E9PP32sFF2yev7u0Dk9pLVP7f4GpJcQAYjJKaN1lmKZJ9MgD4PbZGlBCDNLEiE9T/oHvoCdmGLn7k+jTw/gWbxZCiANtgoo8d2JekvHVbCDZdQxXfhWFb/5XQJAAYscfI3r0AXxLtqEGI0LOXZJn50QkifCWa/AtElPOulU6mn7+1xY9WCKwchd6bJLkqcP4l51HvPlJu+EbXHMJ/ppNaMMnBROtv9Xu8WTVCEbu+Qzp0R681atFM1vPUPjW/2Tkl/+Op3IF+vQoGbtH4LJLK7k734m3csXss5FOMn7/LRb9dg4tWXGhhgqQc0vRuhpAMkVJsXqNGDAc7SI12EGs+anZUpyiogQiuEvrCNRuBVUVJUerhi+HCgjUbibW+owIsFZglH0h3CW1uAsXCOHIpifm9Vi8C9aIhf1MU/OSghwuxpjsp/zm7wvW30Q/qb5mpvb/YnbGKOstU7AAd3ENM0cfsAdy0dNWvygugskFHxBim6YpehUFVfiq1+CpWoOhxQU9OhkltO4NojlvDdzO61W4vHiKF5HqPUHhWz+JO78cI6MxcscnyEwO4C6tIzM1aNOrJdUjNlfRMXD7yN/9Xlz5gpZtpOKkBjuYPigGNiVPgOKr/wOAePsBpg/ebT+z2RJbzta3ime7r1nQ9y0Jnawfjqd8Of7aTajhYoxknNH7/tdmxfmXnytUEQbaybL4ciO5dHd1vez6MBemaZJIJOxgMzExQTKZ5POf/zwLFy6ksbGRI0eOvKoy2ivhm9/8Jt/85jc5ffo0IOw7/v3f/51LL70UEEHvIx/5CD//+c9JpVJcfPHFfOMb37CD4quFE1zm4JVmV06fPs34+PgrDjLpuk5rayv9/f2sXLmSgoICrrzySh577DGUnCKMVBwzFQVL0E8JFpAZ7wczI6TMh07iXbhOzEb0NTN98G57qhiwZxDknCKK3/Ypuywycs9nSI/3k3f++0j2Nokp7WxpQlbwLdqAkZgi1ddKcPWFxE8dxbA4/Z7yZai5JaT6W8hMzM4GZBfZ0PorCCzdYV+joWcYf+SbdjD0Lt6MK6eAaONjqHll5F/29xjJOK7cEpJdDYzd/yV8dduRfUFiRx/GXpStcxO7xVp8tVtRA7li8HFm1K75h1ZfRHpykGTnIfEea2FQ8yoIrbscT/EicV5GhsnHv4c2JHxFZH8uoQ1XEG99RkiHzJ338OVCYpK8S/8eX/Ua9OgEqb4TTB24y6L8Ir4jtxdXXiVq6RLijY9BJiGENFMxSm78Mqm+FlK9TWKY09ZAc+HKrxD06oXrQZYZf/gb9mCgHMwTvYruhlmRTyt4+Go2kOg8LAJPySIS7Qft+yUcPjOzhAJ7gRTPac6Wq+2SYTaoTT33a/Tpodnnx5pnCazYjX/FLruPMvjjf0QJ5hHe9jZ7+NEmB8gK/iVbSXY1YGgJ8Vy8YOnwLliNaRik+luYNzwK+C1r5mzPQPQqfohm+d34lmzDTCdJnjpM8XWfxzA0Ru78FKTj5Gx6i6WkgO39E2t6Yna+xhLgdOWV4amqx7tgNeOPfstiuVmzKv6IUHiOjgo6eTop7ql1DeEd1xNcJXxgxh78GslTh/BUrED25aDNFTuVVSuQm7ZAaGDlbpLdjUKUM1wEhk5hQKWtrY3XC9M0GR0d5Xvf+x6PPPIIR44cwev1snPnTnbv3s31119PUVHR6zr2vffei6Io1NYKdt8Pf/hDPv/5z3PkyBFWrFjBzTffzH333ccPfvADwuEwf/u3f4ssy+zbt+81fY4TXCxkZ1deziq1p6eHwcHBl53CjcViHD16FFmWWb16NS0tLVx22RuYnJwgsPJ8gqsuAEkWQn4DbUSPP27Jh5g2G8nUEriKF1Nw2d8z/KtPo08O4K1eS2DFLtF7GWgVUh2Wbpbk9uFdsJrMRB+Z6dF5XH89OsHg7f+EEszHX7MBbfiUYPnILjDEAhBc+wYCy3bagdRIxpjY8wPBVJJke1csZioq8FSuYKbhMUjNiKZtbALf0h1IniDxxkdm32MaYtYhlE9mvA9XxQrSWa0tWQE9I2RgqupJdjdYu8VZKOFikUXFJgiu2EXi1GGr3yShhAuRFLf1HjGRLflyxOyDkcFVtOiMVgPz/n/rv92VKwlvvhp3odB6G3vo6yRPH6Homv8Uds69x0n1nGCWlaSIGntyhvKbv28znJInD+IqXIiveo1tYjZX3w1ExqoNd6KGiymydtN6dEI07/fdjqukFm/ZEmaOPoikuOYpBPuXnkNo7WVIsiLmKoZOEm3eI+6B7cwpKLWeylX4ajYw/cwvSPU34ylfRs6mt9iUbFs9QZIEsy6vnMzkMK6CSoqsrBPAzGgM/uSjIMsE6rYLRWEtDoYhWIK1W0kOtjH99O3knvcuAst2it7dcCfRhkdIdj4/e/HWJkItXEh6vBdzjvZcYOVuUXIaaMNbs0nQ2LPsNYuS7Vu0HlfJEmYO/VqUYQFUD+EtV5PqaSLV3ywETq3hVk/lSkHcsFSs5xIblEAENb9CfEfa7DAwehqMDL667eSsf6NdRtXjU8Ra9hJv3guYuMtXICkyqe5Ge8gSJELrLiPW+gwV+SGOH58levwuuO2227j33nv5whe+wOOPP84TTzzBl7/8ZRYvXnxWjg+Ql5fH5z//ea6++moKCwu5/fbbufrqqwFoaWlh2bJl7N+//zWpP//V91zmSri80uzKKzX0s4ZelZWVLFmyBFmWueDCC4nHYqCopEe6SHQexlu9FsWfS+LUEUwtjqd8Gf7aLaSGTgq5ei1BeqiDge8L+qSrZAk5G9+M7Pbiyi3Bu3gzU/tuJ9XdiJJTgKS4rR+bCFADt38Md3454e3XoQYjgv9vGOi6bvHwmZ3EBqLHHiTRcQB3aZ1YkPb/kszkAJ6qesJbrsaIT9uqw0JE0mKiKa7ZaepkjFRL1tPDQM2vwF+z0WJ7iR1ctkYd2vhm/DUbGfnVp1B8OYS3vpXw1rcy9eydRI8+gOwJAOasnIeEIANYEPIxgh5taAlbRt228QWbwqvkFM1mb4CrcAG5W99OZmZElPf6W9F6jjNiSc+oeeXC68Uw7H6NoSVI9TShBCJ4q9eIJrLVLO679b1iY2AaeKrqyd0uJsz9S7aKhvCJJ0U/AxM1txR3UbVgPM15xpSgOO7UvtuFQKVhgGlaDWJryFCSSXYdRY9P4avZgLtkCenJATLjvSihQsvIbMi+33PVlCW3H29VPZI3gLdiOd6K5SS6G8XnuTx4ypeh9bdBJkl6sJ2+79yM7A0QWHqO1W8yARkjncJIp8AwkAMRwWpTVLylS5iG2TkTWcFTuoTM1DDJzucpePO/YmpJoXbd1YB26pD9umwZLjnYgT7WI66z83lkT4CcDVeSnrIYkN0NVl9mVtoG1Y1kZAiuuoDgqgswDYP06GnGHvwaZkbDXbhAlG/TQuVZDuRjxMZQ88rJ2/UeZI9/Vri0t4nosdmMOtG2n+Tpo7gLqvBWr8U0DTEvZAUuxZ9jqysbsQnhEZRJYeoZTC1BJnP2FIzj8TjBYJC1a9eydu1aPvKRj5y1Y+u6zh133EEsFmPr1q0cOnSIdDrNBRdcYL9m6dKlVFVVOcHlteBMTftXEpzMvnYuXmjoNTdd9Xo8aGoINSIk1LWhDqYP3DH798WbCW96C5IkCQbSusuZ3Hc7ydNH7dekB9sYvvMTwpQqr5TMWD9oMXy1W8XuSlFt+f2ZhkdEY3hKlJDEQ6+hJ6NiItuCu7iG8OaryUwPi+ZwX4vFhHkGspPf+VVgghouQg0XkZkeBVpRgvl4q+pJDbSKch6QOn2U7A/Tu3At4c1XIykq/totmIZB9OiDxJr3ACbJ7gZ8izeC4sK05PdHfvN5MgNtgkm0/Vrh7GjNeyQ6niMzNWBnd9pgO1MH7sK3eBOeokVoI6dJj3WjhAqsa7ICx0DbvMAiuf34l2xH8ofxBCN4SpeQiJQx9ewdSKobT8VytP42u5be990Pit2urglZmx3XCTfJ1RdjaAni7QeIHnvATmhS3Q0M9bfgChfjqVyFnpgh0fo0kttr1f59wqcjo5GZHiEzOYSaW5x9GMX/MTLE258VQdLtw1u+jOSpw4Q2XCF25y8QapRcPsKbr8JdWI3bksBJTw0x9sAttuqyqadFP+XAncieICgujOgoSk4RebvfY/fZ9JlRkr3NRI/chxFNMvP8PcwcsujMkiwGefUMuLyYqRjTB+4SLpAusZBmklFGfv05tIEW4RPjEzNcKC68VbUoOUWi5yQpBOsvRI9PCpuETAp9tNu6JgPUWUVkL/VQfxF6YobR+/4XMxVHCeULGrcWx5Rkhn7+cTzlSwmtuxx30SJBVDEy6FpCZDKA5AlgxEQZLTPRz+iDX8FTsliYrHkCYrDT+iLd5cvxVi4XqgsD7aT6mmd7UEULSXU3gp62JvElvNWryUwNk5kaIt62HzOdOqu+K1kK89lEY2MjW7duJZlMEgwG+dWvfsXy5ctt/6gXqj8XFxe/Zu+bv9qy2Jnsh18JIyMjtLa22u6P8GJDr4MHD/Kxj32MG264gZtuuomlS5cy4Sqk4HJB9R1//LskTz4nSh7ZkoniQs0pxFO2lPjpo5ixcZTcEvTJQTxV9eRsvopUTyOx1n3ok0M2t180GpfiX7INOZBnayWp+ZXkrL+CzESf0Fka7LBKaGLXJQdyyd1+nV0GAog2Pka08RGrBLFIDIdpcfEel0+I+xlpK5u5BtklJo+NVJxo46NCAmZO+UlyCVkST/UaMWzWddQiE1gzJNZ0tpxTKJrv1u5czSvDW1mPv3YTsttPrOVpZg7/Ftnjt6ych0VQG7PKYdlr8gaJnP83uHJnm46poU4mnviuYFgVVNmyNsiKWPgkCSM6jhopJXLuTfMX2a5jgngwV9bGG7DKM5vQE1NMH7wb2eUl97ybUPxhe6gu2ddqESRAChXir1pJrOkJ1MIF4ryzw5RYZay8ctwltcQsdtq8fpR4la0mIERL2xh/5BuYmfTsPbeeITW3RDDCFBVJdSEpLuHMOXSSRPdx4k2Pzcrd26SPJYK2LsvWrj9FeMvVqOESOxPSRk7ZZSVv7Vbydr+H9PBpUn0niJ08JDxaLPgWbRAZ5aBl+yBJFqEgBbIqpvmtHhkIh9DxJ26zek9zpW28uCKlqCVLhPV0JmURPzbYZcHUYDuJ00cgoyEHIpS+84sM/vgj6FpKfAf28mbiX3oOnpLFlpFZ2+yQpwUlVIA+M4p/xS4iO0VwMPU08bb9TD75faFnhyk2fnMGUUPr3kDi5PNkpoaQZJlv33orb3vb2zhb+PjHP04ymeTWW289a8fUNI3u7m6mpqa48847+e53v8uePXs4evQo73rXu0il5pdzN23axK5du16kCv1y+KvLXH4XCZe5mYtpmvT09NDa2kp1dTWLFy/mk5/8JJ/+zGcwDYNDhw7xD//n/yLLEqYrRqLrGNPP3klmvBdP5UrCW64B07B/vInuBjJNTwAm3gX1qJEyokcfxMxoqHkVRI89hD4xiBouIrDqAsE+6msh3vK0SNctqJEy8na/F9ntw124AP+SbcRan2bm0G/FdHkgj8xEH+MPfx0UF3IwX8jGJ6Zxly4hd/u1yJ6AsD6eGCTW+vS8unmq9wRj938Zd1kdgSXbiHccIN62T+g/nXuTJQHTJrIhy4dFKA0oYkAxOYN34TpckTJmDv8WY2YUSXERWHMZmckBUgNtRI/eT/To/XZPRPZHyLv4Q6h+sRMOrb4YbbSb8Ue+ZS/URjLK2H3/Kxbr3FIh49HfguwPEzn3XbjyysRMxcgpkn0ttvw/QGZ6lIk9PxQlo1prJseiqwo/kwqhE9bdSLL7OMmuBvtv7tI6ZJcXxZ+Lb9EGXCVL0IY6xcQ74KtcbtOjMyPdIEnkbLkGT0mtTY1N9beSHsr6lGRJG+o8v5fR+7+Mf8lWPAs34F1Qb/m55JN30Qct068TonR06jCS4sK/7BySXccwDUNYXhcsYGLPDzC1BIHl5wmfnMEOUv0tJNqeIdH2jH0/PFWrcZUsQfXn4MqvgBXnMbH3J1bGhBgSlRXcJTW4S2pQC6sZv0+INGatmQF7+HH68G9n1QGMDBOPf0dsYopr8C7aQOzoAyKwKC4wdIre9klB+e5tEvI2w6fFfVFcJLuPg+LCU7kC74J6tNEuW5vMSCeJNT+FnoyKeyerovxr6LhLagmuvhhZdYsKARDvOCg2CB4/KC57fizeshdtqBNP+XJytlwtqOkgyrBZZQzFhb9mE/GO/ejxKTJWw/+3997LOeec86rWk1eLWCxGOBw+q8d0u912z2b9+vU899xz3HLLLbztbW9D0zQmJyfnZS9DQ0OUlJS8ps/4qwour7UM9kJkey5zDb3WrVuHx+Nh+/btHD58GHfZUsJb34oeHReLbH+L8AR54CuAoFCqOcUYmTSqPwffgtVCwNFW/lXsuQcAXUsycNvNkNFwly8lcs4NSIpL+FWsv4LoiaeIHrmP7KKUmehn+M7/RPYEUAsXYCRmyIx2iV7DjutR/GGrhNZBvOO5edbH6bEeJp++Hd/C9Xiq622NsOzgpX/ZTmS3j2TXsdkFyRI89C5cj+wLI7u9qKEClJxiUgMdgmW0eDPpsR67T5HsOkbSkg6RQ3nknfce1FC+/R1pQyeZeOJ7s4EjPsHorz8jfEFKalGCecQaHgZZkBkkl5fCN31MMLa6GtCyIo2ShJlJEz3+KL5FG3GX1aH4I+KaLLhKagWjrbuBaOOjRBsfs3fa/toNxFueRvb4ydlwBWy4AkNLMPHk94UbZaiA5OnDJE8fFvbHbr/tKimmw3uRkMQUejYYFdWgRsqFtW/NBrwL1zH5+HdEH8sKKMFVFxJYeT6ZyQFrmr9N+OR0HUPNqxBCpdns1R/GX7tFlB9Nk8Ef/h+QZWS3D9MwMIH0xADDv/g4mAbehesJWKwtb8Vy4Apmjtw/q10nq6S6j5HqbkBye5FCRUJiRYuhBPMFQ0tWSZw6wsSjt6LmV85RNICZQ/cSb3tWBOrFm4mffJ708ClrowAFb/xHkpZicfLUYZFlWbIukurGTEVxRcpwRcqQfTkkuxuRvUH8tdY82EArqb4TMEc9QY2Uoc+MYWoJJp/8vk1Rzz4/kupBG2xn+Jf/huT2C9UI1SPuZ24xkd3vFQ6ksUkxw9LfTqrrCJnRLpRQPi4ruGRmRsS1yArFb/+UUJswET4zhhCx/c53vsPU1BSXX375q15XXgnxeJyysrKzdrwzwTAMUqkU69evx+Vy8dhjj3HVVVcBwqGzu7ubrVu3vqZj/tWUxV5qduW1YHp6mgMHDuB2uwkEAtTX13PgwAEuvuQSDF1HDkQIb3mrreoLMPXcr0m0PyN8IkqXkOpvsbj6kphdwRCy7nnlAGQmBwmtuQQ9NkG89Zl56TcAqhtXuBh35SpSI6fJ9J0Q2k+pGO6yOsKbrxIMp+4GEbRALELBfDwVy/Ev2YoaiBBr2y/kQSxJDv/Sc4RAX18L5lxdL9WDp6yOVHcDOdveRmj1JeJ+xiYY/tWnMWKTguGWipF1sJRUt2hy+nPFkGBEKLkaWoJkXzPTz94x3xnQ5RU6YAvWoPhzmXz6x2DtuGVviMiudwtqdXeDPXUtefzCl6WrAdPQKX3nF8nEpxm96z/Ro+NCudcTIDXQOkdiJDv4qAi6b8cB/Et3Etn1LtHYnRwUBmTHH8NftwPZHyJ65AHcpUsofNPHZr/TZ+8keuQ+Sm76ChgZoQDQ8LA4tywtOCsb4wlAKoaSUwiSPFuKsbJGIzYJmeTsDIsngH/ZOfgXi7IgwPTh++zBWpCEV87QSdyF1eRd/EFGf/MFXCU1hOovYuSu/7YGTqtJdR2dvW7LBVQwsBQrUNeQiU+RGWy3S5bhHdcJBeG+ZhKnDqP1Wiw5SRKZwByKsewLzfGvh8ju9wkxze7GefpzkupC9oXQZ8Yov/n7AKQn+hm567+F8vTCdWjDp2aVJ1S3+CwtjhIuIu/896NY/RtTT5MaOsnkUz8W56K6Ca66gFjjo9bclWUhIClIqovIrvfgyq8UJeJsiS9LSAEkbxBP8WIr61wMmSSj933Jnqdxly3FlVdO7Phj8xeDLLMznRKbgiw5wbo/b3/72/n2t+dL9LxeXH/99Wzbto1//ud/PivH+9jHPsall15KVVUVMzMz3H777Xz2s5/loYce4sILL+Tmm2/m/vvv5wc/+AE5OTl8+MOCWPTMM8+8wpHn4y8+c3nh7MrrDSymadLf34+u61RVVVFdXc3HPvYxvnzLV5B9IVz+XNJj3Uw8dqvwtAjmYSZjmFrMZl3NtQmONjxisV9M1IIqfFWrxG7eNEkOdJAeaAUklJwCIjvfKQzALAppsq+Z9NH7rR+8guT2QiqOkU7jLlqEu2gRofVvZOLp24k3PmI5U7YQP/GkqF1n4fbjLqtDO30Eb9UqfDUb0cZ6GL3nf4RrX7hYMGksA6jo0QcxElGCG69ECURQ/LlgZCi54X/JjPUS72ogeuR+TGtGxEzOMPnUj0RNv24bZkZj5rlfgWmSs/HN4rOtEpo20M6MvcM1kUMFmFoCwzTxVCzHU7Gc8JZrSE8OMvyzj+HKLRPNdUkS5cX+dkbv/SwYBjnb3o7f0kMLrtyNkdGYePy7QvsK8NdtQ/bNb5BKkoQrUoqnfBmx448hKbN6VXpihszUsF0emdsTkXxhEqePkhntxlVcQ2jNpWKodaBVLGLWoKASKiTvvJuEKsFgB/GOZ8Uu2CIpiH5OjSgLHrnfGm71gmFAJoWcU4wZn8Q0MsLzHkgNn2LgB/8Aepr0yCnijY/aATQVG7fKTAi7g13vRvHloI2cRhsU0jZ2uVNWMK1rNbQkrkgphhYXJABFJWfjm4Qm2kCbsAzOBlBJoeia/2T88e8KVe66bfjrtqGnEgz/4t8wYmO4ihaSGe8VDXhJYuAHf48cjIgSoctL3oU32/pzWfXh6UO/sbyCQJ8aZvTeL4jNR1U9nvJlTO3/pa2BJ3uELIqZyQY9K5hiqSn3NSP7w7jyK1Ei5YKpZ0EtrEaS5Fk17mwZzfJOSg93CjahJQHkKl1C3uUfJd3XRLz1GaEIYRoEVu4SFGXVLZiGiLLT2cLZbugPDw/zzne+k4GBAcLhMPX19XZgAfjSl76ELMtcddVV84YoXyv+ooNLtoR16NAhCgsLqaysfF2BZa6hFwjp69WrV9PW1oancpUIHG6faLZaU9jp0W4728g65fkWrsezYBWx5j0ku47aSsayT9iXStaPIj3QStbt0btgDbI3hOz2CQFJWRGLi+IiULed9Fi3qEmbBpmhkwz88P8Q3vEO/DUbkS15l5wt16D4coRvy/23YGpx8dlaHM2S3ZhpeJjUcCexhkeQFJclob4EIxUTDdD+VpKdzwsZ9ckB8i/5sLDMNQxx3oqLWMNDkE4SXH0JrvyKWRZaVsLDgnfRRks2xotauwVvzQYmHv026ZHTlryHLqjEpgmazOBP/xlfzUZxnz1CBsPExNTTIgBpSSae/K4dDKb33yEyjpIavAs3iHOe6LNnKiTVbccHPTGFkU7ZBAX72UknSVkDm/rkAEO3/zNKIA/PglWWfbBYiEd++k+Y6SRKuITcc25A8YiyS2DpDpJ9zUzu+SGYBtrwSbSxHtz5lRjphOhBSAqYGVz5FeSeexOKNyh6XZNDJHsaiTU+Ons+MyPifrjcQp4fA9JJJJeXyPnvR/aFRA/FUlM2syrHponszyE91oNctRJPaS1KuIj4yecBicCKXeI7HmjF1OLMHLxLMMSsnkXe+e/HXVQtTmLlboy0xtiDt6BPj2AkptCTUfGcWZlXeqKf4bs/Bekk4W3X4lu41u69pAY7iLc+TWa0GzBB15jc+xPcxTXCZbOgQrCtrMCC6ia89W2keptEdjh8ipnnf4MYigxjJKIYhslM42PMEi/EZsNVsAA9MU2s6XFiTY8LNW4kzHTSLln6Fq4jZ/0bBflgoI1E5yHiLXtxly5BCeSSHu7EU72a9Hg/xvQwRVb2qi5YjW/Bakbv/7IIXrIKuo6ZSaGEi9GnhsjLy3tti8zLIEtFPlu47bbbXvbvXq+Xr3/963z961//nT7nLzK4nMl+2DCM1xVYxsfHbUOvjRs3snfvXq644goxfSsr6DOjxFv24luyDcUbtHzXu1ACeeRserOgxfa3Cq+KgTZ45meAoMV6ypeK3Y+uW1LqvdZIgYoky0iqm1jDw8QaH5lXblJyioiceyNqjhDEMzIaqa5Gpg7cgRGfFJ4r1etsEUd0nXjHASYe/y6SJJO78514ypeRHu9F628j0ddMerCDtFVGk/xhtKFTKOFiVH8YV0GV9aMWSJ46wvCd/ylq7aZBoqeJ8d/+L2DOm+T3lC7BWHMZk499e3bHKLtIdj5H8tTzglodLhGeIJkUwdUXE1ixC0mSRaAe6mSmQRAZokfuJ7zlavs7NLUEseanbQva7JR7wZs+ZpcFk6eO2GKInorlSKqH5OkjmHra1rJKdR1j4Hsfsj3eTWtDkGg/YF+vu2wp7pLFJLuOilKltTsd/vnHwDQFbXpqkJE7/xPJ48OdX4WputG6G5A8frGrTqcYf/Crdu9l7hBrZnKIyT0/FFbTizcJOnLzUyArhLe+TQSOgfY51G9rITUNPBVC5FMN5qEu3oS3eo1lzZzAW7VK9NeGO5kaOgnPyCIbSiVAlonsejeesjr7OjPRcSb3/sS2F8AQKgyCll6Jd0E9M42PYcbGhXNnOsnorz4p3qyopAbaGXvgK0LZWHERb92HnpjCv3gTrvxK4iefx0hEcRUtJLhiF9pwp9i0nDo8rw8mByMYqRSSLBFcuZvgyt0kTh9j/KGvCXmZSKmY1zJ1SE4L0ocvF9+SrejpBMkTTxJYdQH+uu2Czt53gmRXI8nTh1EjZXiKa8iM9SK7hOGZbA0hy/4w8Za9osFvzbMpvhwy0gAgYaTitsMqIPyUJFmIgWZSgnJduYLY1NBZ9buPxWKOttifAl7YtJckiYaGBoLBoO1Z/2qPc/LkSU6dOkVdXR2VlZXous6jjz7KLbfcwhNP7cVft53k6WOWjpVksShNIc1+wd+guGcHqRJdjUw9czsgoYbyZ3WsLEE+TN2WW5F9OUhuL8XX/g+Z8V7BUOpuQOtvBdsffJaGnJ4cYOrpn9olFltPygQwCO+4nql9t4Np4C5dQmDFbpsKqiejjD3wVSGxDsiBPGGKOE/uQrCW3NVr0LqOIftyRNaQ1YZy+8WCkoXqRg0V4ipZIuyNtZgYZpweJu+iD6HmFpPsOU6s5Wkh0WH1QeRALp7SJfiXbEPJKWT6mZ+JIGCVypRwEZ7ypcRP7LHvneT2IckKnooVJNr3U/aB780qDaRijN1/C9poF6H6C0mP95M8fcQaTBS+6W7L90MbaJvTJ4AXUYIVl7AxXrCGRHcj+lg3kttH5DyhpJyZHLTKTa1CODJ7fqobM5NGDoQx0ynrns0eW1gZJ0l2H7cDZRaBVRcRWLnbVoswDIOJx79DOtsz8ARtvTnJ5UEK5IkMR8/Mk0wx9QzaaBfRow9aCsKzMkJKMIKnbCm+xZuZee4etMF2MQy69a1kZkbtUqw21El28Na7YDV6Ypr0aDdqpJxMVsnBCsxKuBh3YTXJnuN2Lw6Ev5CSW0r+RR+clylqY72MP/wNwBTmXNlnT5JxWc339EArSk4hebveixKM2NeU6m+zSr2zni4YGTwVK8jZ9nZb2kaPjjP444/gLqlFChWSan+GwLoryN38Zvs8UgNtjN7zGTxVq9CGOsVMTckS9KE2sh5A2VkX3+LNRBseEdeefUTCxXjLlxI7sYfPfvaz3HzzzfyuME2TdevW8bWvfY1LLrnkdz7eHxJ/UZnLS82uvFap/GQySUNDA6lUis2bN9uGXlk5bL/fD0hEzr0Jc6doBKd6Gpl65heAEAIcueu/RBO/rI5MYoZ073Hb6lcNF9vijImuBltfyV1VL5hOkvC5lyQJV34lrvxKQmsvpe+b78ZftwPJYmzNKg6LRrrf0qRCUXHlllqsGph6+icAqLmlwpt+oE0sLP5c64cspDJSPcdxF1SRd+nfoU8PM/74bXY2A6YooZkGpqFjIlhigB1Yit7+aUtE8zjxk4fItOyxdumqTRLQ9TS+/Eqixx9HnxxADRcTrL8IbeS0oMW+oIQmB3KRQ/lkBkXmE2+x9I0kRRg99RzHSMXBlusx7fOSPQG75AiIUhFAJo1v8SYSHQdQQgXk7X4PRjLO8J2fEJIosoIkK4R3XIe7oApt8CSpwTZS/a1ED99r1/SVQC7piQHU3FJckTKUQJ6ttOuv246kuEkNCK02IzpunZfoVeRf9neM3fdFvAtW41u4TrhYjvUKuZa+E2JosfFhYk2PIXtzUAoWiKCViqIE89Cj4+Sd/15ceeVi8r31GbTBdrsfMnPsIVK9zXgXrcNTuYJkdyPp0S6b3Zd38d8Kqm9XA/Hmp0SmJAmSiSuvAtPI2KwtNdursNwjXfkV6D1NYJpicbXYhJ6qelLdDbgipeRd+AHR7xzvJdV7gqln7xCVsMkBhu/4D9tcTI1UEm0QUjeRXe/GXViNHp+0HSmT1jMHYCRmmHr2DjwLVuNbKHxXpp+9EzAJrr7Yer5FCTfV2yQsApDEol+5XBwDg0yHyEpjh39D7Mh9yN4gnsqVwi0VSFnXBib6YJtgDi7ZhuL1W8KoLfM8fFwF1aRHT4sspk/0Z7LukWcD0Wj0rGZCfyj8RQSXV5pdURTFbui/EkZGRmhoaKCwsJB169bNUyHNCll6PB7QM3bJzRUpxRUpZWr/HQTXXCJUi7sbiZ86PDs/IImp99TgSeRABMUXQnJ5Z61+Ae30EcDEiE/OWxTnnACu/AohybHjHWRmxogeuZ9Y0+P467Yiqx6LfquR6m+ex47C1Ilc8DeoOYViLqKnifjJgyAhmFFun/CNNzKY6QRjD3yFzEQ/3oXryNn4JjITA1YPpdkWX0SSybvwZhJdx0i0Csquv3Yz6dHTkEmhBPPwL94kWDrWHMfUY99h6rHvACbukloi596EpLrwVq6EdZeT6DkusjAEhdSITWLEBHNHjZQSWHkR0/t+jJJXjuz2YhgGhqHbnh4Tj98mMrOS+Vlqqr/VZs/5lu5Ase+vSfz0ESYe/ubsoKmh465YKVSOPQG8C+pxly8nM/FNjPiUPSehDbYzc/BuZp67R5SbtKQgK2x9G35L4Tm09lKMVIzJ/b9E62sBSyxRznq2W70KSZJxF1ThKl5Equ8Exdd9zpYliXceIt1zjKx5l2ENQRpaAjVUQEJLog22o/hzRSl2clB8V4Nt4jmwMiU1Uobs8aMNdeJbuE708M4RytXDd/yHzSyLHr2f6LEHkFw+0aSOT4LqscQ640JVIRkTWXrhQmRZRhs+heLPEZ8lZ/1lZjdH0wfvxr/8XHyLN9uimMnu49B9nCyjLHFKULpdkVI81euEXXNWM80fxlO0kFRvM9pQBzMH77YrBb6aTfiX75pDr4ZYy15mDt+H7A1gajFixx8HIDN0SpQTq1bhLl1KekgMVCba9pFoszYupknuOdcJhYWOg2QmB4k376HkHf9DYNm5pCf6GXvwq6KnpbrxVCwlPXpaVCOs8129evWLf7+vE3+ukvt/9sHl1cyuvBoflrmGXsuXL6e8vPyMr1MUxfLFNjESM9YPyoIsyjfeihWYaY3o8SeE9eqK88hMDaMNtFqSGr+xaJ0akieAt3IdiY6DqHnl6LFJzFQUIzHDyD2fEQyZypW4CipF4NCFrAWKihrKx11aS6zpcTBEgDWSUTANweevWErKymTI6KLk5vELL/JF60FRiJ3Yg+ILzbKFMmkGfvh/IKOh5BTjr9uO7PLiLlqIu2ghIFmqySJDSE/0z9KlDYPBn/0r+uQA7ooV5G57G7LLK/zl9QzxjoOWO6IoYWiD7Qzf9Z8oOcL/xdR1sVP3hYicexNqpGyOu2YzqdNHhcyMJKNP9BNPJ0UZCMiMxZG9wdn5G6uMZWgJyGiztGyEFlT2ehMnnyPROqv26sqrxNDi1qzHMSTVgxzKQ58eBT1NaN3l+JeeYzkk6qTHe5k5+qDF/BILy/SBu4gdfxx3WR3+2i1Ejz2I1teMpHos2q7OyF2iV6HPjGIa+qxxmlWlllQ33orlmKk40WMPI7l9hOovJm2pLphagslHb2Xyse9YPYccIhfdjOoP4ymrI7D8XPTENKP3fkFolEmypYvW/qJnWg3lI6tulNwSCt74UTvbmDn28Kw6tJ7GSKTBNIm1PoNpUXVd4UIy0yOAaVHnAUPHNI153jmmKTYLntIleEqXCAaalmDge3+Lq3ABppaYNbRT3YAEmZStEq7mFJJ/6d+Lez5ymvj/Z+8/4+w6y3N//LvK7mX29CZpNNKod8vqtiV3bMAUUw2hmJLkACEhOUkOSThJCCEkIXASfnTTMeDeuyXLliVbktWlmZFG0mh6n9mz+96r/F/cz16jsen4BPh/zvPGsjSz61pPue/r+l5d+8XrBOTO7id3/iWRV9cvFNHL2f2YiSYqr/oAeiAiAXBDXeQHTlPsO0Gh5ziBpmUktr0T13VJ7vmhp8KLbXobwXmryZ07pALPXHBh7KH/wKhslGvQMEFz0QPRGbio63ik5FfL9Oi67v8V/Mt/x/i9XlzK8cO/DHAyn8//1H8D2RkcPXoUx3HYsmXLz/0idV33nKpD3/04vtr5sgDMW4WmOE6j9/0LxcFO9FgNVaoMBuA6DsWhM0zu/q5kxGvlxDu1MAaiM6cCxPMyPdQFL96FplRS2c49TO+/G9AwIgmMuDy2nR4X57jrSLO1mKVQDoZSPgT7ZQusTGiuGBfV5FtWqmmBMPb0sDShTT9auFJiAgoZjIo63EIWp5gTabEak3t+gK1Q8MWBDsYe/oLXQymOnCf10gMzccOJBuLrb1LO8qOkjz6mmt1gRmuwUuMYCTkRav4gaeXziCzfIXLtgY6L8B0SXVD7pr/BLRUolnejF47NmFPRRGGUT82EfYFyd8vOPrLiKqJrrkPTdOFeDZ4h2/n8zGKqaaRP7qI4fI7gwksJNC8nd/4QpeFzmFVNJLbdgjU9qvoUQgEokwB8da0Y4Qry3UcILd4mu2RNI7nnh0y/eDeBOcsJzl3p5dBomsbYY/9F4fwh9Gg11dd8GKN82gFKyWEmnviyh3JxctOM3fdZ6QnUzsdf30bq8MNi7vOHcFWZ1VXGwnzvCQKNi73AONd10XQDTdMwKpvJ7fkhTmaCYOslIlFXyBRrvM9bWLzXMtFP2bSKC/nuwwx+66ME5qwgOHcFgTnLARfNkOlm6vmf4G9cRHD+WnBdwou3EF11DXY2KXkqPcfJnd6LUdGAv3ERxeGznjhF0w21gJhkjj1B1XX/A80fVm7+EzPyak3HtYpkTj1DeNFmdQqNklYnGIDU0cewpgYpJYcpDZ720iRTL/6E1MF7JNYiXIHmC2CnxrGyU2qx0Ygs3UamfQ+4tiqFaugVgt+xJvpfNbVYLpfDcZzfy7LY72VD/+Xxw7/Iu9Ld3c3k5CTr1q17xb8NDQ1x4sQJmpqaWLJkyU+NGb147N69m1WrVnH27Fm+/vWv8/TOnQwMDHq71llDMawk6ncbdnZSkhMdFbHqQnT1Nbi2pci5KAky4DhUXfcRfM1LyXXuIXP6ReyxbgACc1dixutU9srArKcMtl5KbP2NOJlpCoOd5PvbsZS/Q4xfQQJNi4ltvJncmX2yKw7FPG+KlDV0YpfeRGT5lRT6T5Hr2i88pbK/wfTJn80AejiBMzkblR9bf5P4MS4cEyWYem49XEFowXoyJ3ZiJhqpf4fs3l3XJbnvDjJHHxN/wVjPDJbfHxaviG5Qefm7vZIUiP9k8plveaj+mpv+ynP6p448KiFaaoQWbRGXveNQHD0vi8/5I7iFlNcX8iUaCMyb4Zqljz0hjn21sMQ3vUXidofOzDaBBiJU7bhVTpdqWMlhxh77L4+ZFlt3A6WJfgUknWnoG9XzMAIhSmM9M8wv8KIMvGH68cXrCMxbSaB5ORNPfc2TVbuOTe2bPkmh9xT53uOzM1gWbaY41IWVmSTQuFj1CtTz6wb+hkUE565k+tDD+BsWUfu6P2PwO3+Kk0vib1pKYvt70fWZeyLf187Us9+dud5Vv8WI18rpDjBr5qH7ApTGe2e9J3wivnCVCKHcfPc3LqHi8nfhL4d95dMMfvtj+Opa8dUtJHviKYyquYKKOfSAZLckGikOd1H52j8nPG+l9xTZ0/uYfPrrBFvWUJrov8iYKaVsXBtf7XzxPPkjUFQ+pJp5mKEYhd6TVF77R6SPPkFp7ALRVdeQ7zkupzPbAly0QIToih2kDj/ilSqllLoCTRcM/7lz56ipmUny/HXH6OgoCxcu9KKOf5/G793JxXEcLMv6lRAuhmG8gmZs2zYdHR0MDg6ycuXKn8vN6e/v58orr2Tu3Lls376dxYsXs2HDBi/XJR6PUywWPW9KxaY3o0cqKQ5Ij8I77qtGs6+uFTuflvKMXSJz7rD3XP7GxeDaFIfPCf9LN9ACUdxcCtCIXXoT4cVb0TSN2NrX4OQzTO39kUx4QP78QfLdQkP2qbISSF8FXNkZdh+ZRV12M1PqgzLlPVglnEJBymVWifyFY2i+gGemKwx0SoO3kMG5OE0wUgOZMXy1LYRaL6Fi81uxs9OkDt4vfaHFm6VUomme5Bdkl26EpYxQde0fYoQrBfHfe4L08SdlIrMdpvb8EDNeJ4FQreuYeuY74l9RO86xBz4nxkHPia7PvC9crOSI1PMbF2Mlh3ELafRQnOiKq5TyqJOSxzWTPpURr8MIxSiOnCO27kZi626kNDXM6N3/iFvMKdjhqEQAm37MeJ18973HxYUfrpD+BFAc6y1/4jPX4UQfRKsILdhAYMF6CSob78HJTEqY1+It3qmhMNhJ6chjpI88Bmhyohjtxs5MXmSefR1OqcDwD/8SyS1JCErIKlLoPYEWjOLm0/jqF2KnxmZMgppOse8Eg9/7hKeaKw50SOxvUNz8RihO5tQu+bzLi4ZjE9/wJsKLt+AUc4zc+xkC9QtJXPEHAGTPH5J+FoBVwHVdYpe+ATNaLd/xYCfFwU5G7/gUaDrVr/0EPkWrcNA806890UtmohdfzTw0wycgTWDykS+QDFfgr55H5Q0fxVWfbWzDm/DXtmClxmWDdPYghZ5j+OcsxwhGZXG5qGwXbFqi6A+aih4/R2m8B80wcZXz3ohW4xQyaLohhHDXBc2g8to/ZvLxL+EWMhRVeN7LqcK/7kin09JLCgZflcf77xy/N4vLT/Ou/LK+lZcvLul0mqNHj6LrOlu3blXqr58+fvzjH/PBD30Yy3Ho6R/k+eef57P/8jla5s3luuuu49y5c7KwgDS4r/qAHNuBQP1CIsu2M/bYf+JkJvDVzMVKjqgQK/E7SIaE/G780psILdoi5Qu7RHHkPNMH7/d2hOCSPvo4+QtHCc5fR7BlLVPPfY/SyHn8jYtIbL0FOzftMc2k1OWC6ZddO8Clb6CUGmdy5zdEwaTkstFVV1OaGJB6PkUyRx8hc/xxlYORoOqaP8aMSlkmsuwK7GySsYf/Q6KTy7vszBhoOsl9d1BKjhBZcRVGOC5yUnmT4mB2XZx8inzfSQINi4Xeq8/0bTTT5+WOFPrbsTNTVGx5G3mFmxew5aOAuPfRNAq9J4lveivTB++bCZnyhwi2XkJx8MzMAm/41AJawKyZR9X296MHI5K/4roUR84xufM2OTkZPkILL52FC8n3nmD80f9E0zTPJ1JW/hWGzsiiXY7IBanHOw6pk894JzBU3ntQceUKAx1kO54l2/Gs93uB+ZeIDNn0ez0yQfbcR5lsbVbUqXye2feB7guojY6GnUvL7l3Jts2Kekr5NLE11xNauIH0iV0k9/wQPRgmtGADhcHTOJlJKra+E7N6jpSbeo575SYtECW8ZAuZY0/JtWX4KAyfxYhW4mtYjIamFnNIdexh+plvz0jVXYfIyqsJLdqCrutKnfV60sefJH3sKXAdct2HPf+WPXIecNEilbiZSYKtl3hRDq5dojh6gXzPMXJnXiCfmSR39iXcopS/NVPKaGasGnPp5ZixGgo9x2TDVI5yLqQ8iTy6gZ1Neh9lOcK7ONot/w6E2jaSObkTp1Qg17UfNJ3Q8itwUoLyFwKEPMDZs2eprKyksrISn8/3M+eXXzTKHpdfx6P32x6/F4vLL4of/kXj4sWlv7+fU6dOMW/ePBYtWvRTEydBTki33HIL9913H/iCJC57N4HGNopjFygOdNLTc/SV7CDHYuKprwsqvHouZvUcsqeeBVzim24mtHAj4GJNDFAYPE3m1DMzzUBNJ3vmRZx8mtDirWhmgPSxJ7GnR1WssUVix/vVBHuc1IF7RaWk3MrRldeiByPowYjqU4SV0cwFq8TE098g1LoeX8NCxp/8KqigIyPRQNX293r1fNd1KA6fY/KZb3lBTk5mirGH/s3LEjermpl+8S5wbMmJX7Be0B1l5HzPUVL7fkLuzD7q3/oPlIOx7FxKYopdBzefZvzBfwfdJNC8xFMYvUIyrmle+FZ5AbAm+hh7+Atgl/DXtVIcFdz79MH7PIOjWdVM5fb3ekwqOyeLWRk/A2CN9zL64L/jr5GSix6KCTDTdcAw0X0BMeAWBd2e6nie6WcEfa9HKimN9+GrasYIxQi0rCV39qBIcueulNiCAYWAwYGy69yxCbVtJr7xTaI8bFxMbN2NFIa6mNz5TdSXQOHCEUa6D2NEqwjMXSGCkIEOWcizSTTdxHUdmQQdm0zHHoJzV8z0ZVwHxyqR7XgOzTDxNy6hONylPDIak7u+xdTeH8sGQ6nAsmf3469biDXRh2vMLPAVm98qzvsf/41cW4YPcDEqGtD9wZmMmfKClp5Q6KGnKDvmy2W0zImnRUQSqcTfuBgrn6bUc1TMpoUs2RNPkz1RLme6ckrKTMoGYuA0U3t+SHDBegLNy9EDEXLKJAuQPng/mjoBa/rs8raryMmu43gKTV/LGnTbwp4eoXDhqPTW/CFShx8Vg7BjiywZwBdE03Xpj9qWiDN8QXLtz5Irl0hNv3ieRs6jaRrnz5/nxIkTxGIxb6FJJBK/sPR+8Uin00Sj0d/LxeV3vudysXdF07SfuRj8vDE6Okp7ezuJRILR0VFWr15NZWUlf/EXf8Gb3vQmtm/f/orfWbduHe3t7bP/0vTjSzRiRKvFjFcub/hDGP4QNTf9pTQVLxyTgCFlPpQY4tVEFl+GWVGLYxWZePKrqh8hF014+RWST56ZlL9TN6W/aQmaplPob/egf67jUBo9z+j9/yK5MEWVB64yPTTdpDTeM9OMnFZZ9PZPUcxpOnoohr++jfCSLbilkiwsjoVm+HFdh+rrP6Le11FZ7FQ5wYzXEl56GcH569FNU/Lrn/7mLH6Tr64VI1LpOeW9EYwTbGgj33fSExwAAtmM1RCct4rIymuY3PkN7PQkje/5PKXpUYxoNbquM/yTv8XJJoks3y5o/4sk3d53VaF6KG0bsdLjgui3i+BKImV40WbyPccpDHTOGE8Nk3DbRuWvENx+cfD0rJ6ar3Y+dnpClY80xfCywHUIr7ya2OrrZkgCtkWm/VkvjdIbhg8zVkOgeTlGrJrpA/eA46KHYsTXv57ShKjCrIv7WQqzg1VAC8XQDf9FOfLqbVfUE5i3WqFjXBXdK3HSoflrMSubKY2el6waL1dGw6yeg6ZpKs1T+gh6tIZAYxuVV34AOzXO8A//J/6mJZjxWrIdewjMXUXlFX+AUypQGDpDcs/tsxYSf9NSzFg1uQtHcfNpam76S/nZvpNku4/iKqUfmvDx3ItLrOp1gci5XdedYZs5NjN9Kw2zZh7W2IXZv2n48TcvVYKCFViTg17MhHxXLpG112ONXqDQL+ZkI1YjUuuLzKxGvBankBMLUEW9bBY0ncYPfw1dl2t++oW7yRx9jNDSy7GnBrFGu5maFCNooVBgcnKSyclJJiYmKBaLVFRUUFlZSVVVFbFY7OfOaTt37uTP//zPOXPmzO/dAvM7e3L5TXJXXj4KhQK5XI5gMMi2bdvo6upi1erVTE1O8tWvfhXTH2D50iW88Y1v5MMf/jCPPvoo7Z2n0RTbSLIvzlDo7xBo5NgFr7+CYwsdtpgTQ2BFPdGVV+PaJQa+8UcisywVyJ3eJ1HEmgmu3NS+pqW42SRWckQMmYrMm+8+wvQLd2BWzSHQ0ObtzMtD03X89QvRdJNw22bim2+e8Q50H8XJJTEq6gm1XiJlJV0n3LaRbOfz3u6yYtNbMGI1CmHecRGCQ/WFauZh5dOQmybYsoZgyxq47F0URy8wetffi2w6NealEerBqETgWgX8jYtlkgJKk0Mi05UXTtnnQX6afM/RWY3x6OrrJFJ4oIPM8adm2FqazuB3Pi6TuW6qSSCN68zk4ZRPR7FLXi+enUExPV4c9wuagmWeQQ9EiK65nuia63GtErlzB5l8+uv46xao/o+GU8io00IVlVf8AaXUGNN7fkhk5dWEl2zDmhokc2q3EHPVhJo9uYv8uZfwN7QRbttMcbSb9LHHPZVccP4lhBdvJt97kmz3YayTT3sqKz0YpWLjzfgb29TiehVTz/2A4kAHkZVXg6ZRHOikNN6Hm0th88r7wUqOYF3EJMMqoIcqsKeGRAauTJRlQQZWgdDCDXKS0g0Pu5PrPkzhwlFy08NElu3AUKBPJzdNdvAMoGGX8uQHOjAqGpl+8e5ZIWhGrIbi4BmsqSHMWA2lfFrMis3LxAfWdwoLCC3ajGuVZIFX35EMWYgrrvgDQnNVw37FlbhWiemXHiB3dj+aIdJuq3w/XrQBcHGFSdZzXB5LlepwHCKrrhUZs215MRDRS15PdNnl2Pk0Yw/8q5Jva4TbNpI+uQsnn6OYl/KoWT1HeGKArpv4a1vIALrpo5id5uJNRCAQoKGhgYaGBlzXJZfLeYtNX18fjuOQSCSoqqqisrLyFSWw/1cWe5WH67okk0mSySR1dXW/Ecm4t7eXjo4OdF1nw4YNfPGLX+STf/u3YARIbH+vlCAGOjlxpp1j//iP/OM//qP8sqYTW/c6/HNWoOs6odZL8NW3URzrwbEKBJqX4uTSlMZ7cZIjoOkM/fhviay8itjKq6R0oOkEW9YQv/QN2JlJCVy6OL64vNtWpSh//QJJ3ovVMP3CHbN8AgC5vpMEG5d4kk6UtFQPRAgt3EBo4QaPGmzEqqWPoWngOLKwqJG4/A88s5m/toXI8quYeOrLWON9mFXNONkpWUDVjT760H8QXXUNoZbVmBVSD4+tvZHQok3Ch+o9Se7sAZzcNIH5a/FXNVOa6EcPRGQRUK/VjNeS2P4+mSTLgWIDnR7hNrpK5Xavfz1WZoqJp76Gkx6n7CmKrLpGstgH2nHzojia8W3oVF79QQKq3xVasB7XdZjc9S1ZTEIxb7FA0ykMnmHy2R8QXXklvqpm/OVkRE3DsUri+lemQiczIX0WhfMpjpwjtHgrxcEzZE48jR6IULn9vWJeVQ7u/LmD0qdQmxCjogFrvAfNFyC0cAOBuYK1t3PTkqxYyFAc6mLymdvEw1TRgJNP4+RTJLa/l+CcFfL61AKcfPEuCj3KJe4Po5s+wcSXy1AKDRNoXk7Ftnei6abAIwfPkO89Lgo7dWIsDJ9l+uD9hBdt8aTfXjkIGLvvn9FUedGaHAQzgFnZiDV8lqmhM3iniIsmeDs1hr9hEU4+7dGoR+7+tGTCpMbAsWYHi7ku9vQI6ZO7lDJRHPLJ535AKhDFX98qPaHhLnJn9+OrnkvljlsBV+W8nCHf34Gryr34wpBPeveyqCB9VL3+L7FG5fSR7XhexSC75M8ewEqNkj/7Eri25PMoL5OrUEFl4KU13s/Erm8Rv/QNmLFqr+SW7z2JPT3CDTfcwE8bmqYRDocJh8M0Nzfjui7pdNo71Zw9exbDMLwSWiaT8cpir9b47Gc/yz333ENHRwehUIitW7fyuc99jiVLZhhzO3bsYPfu3bN+7w//8A/56le/+is91+9cWazsXRkaGuLcuXNs27bt13qcUqnEiRMnmJqaYvHixZw6dYrPfOYzvPDCC9KgvvZ/YEYS3s9bqTHGH/0v3FIOX9UcSlODSs5pYkSrMCvqKPS1gy67/pBCupeDt6YPPiA7a02n4davYPj99H/9w0RXX0fs0psYe+DfKA134W9cTMXWd0iY2ICSCiu5bjmm1XUdBr76AcyqZsyKeinROA7gqqz3FQTnrWJq3x2EWtdRdfWHZ97H9JgqX0gORe7sfpxcmlklGZDExsomfA2LhdXlgSN3AJrUoQc6yXQ+L5kjmkbzH92GY1kMfuNDJK68lcjSmcS93NmDTDzx/xFZfiV6MEz65C5Ft1UTj+EjvunNBFvWeWUAKznK+BNf8pRHvrpWgvPXEmhawcSTX8bJKGSKL0DV9vd6QgkAOzPF9P57KKjFQt6UhlnZSGjeGvxNS0nu/ZFQBhZcSsXGN8siPnJe9YWOqclYp/mPbsNKDjN8+19j1syXUpRd8kQB8U03Y6cnJBqgLPO96H1Vbn8fgcZFM9ewVWT8kS96E6yVHJ7hlummTFITfWA7VGx9m3ctCQ26l0z7sxd5cUSQ4a9vIzR/LYHGxUy/9CD5cwc9qrZ68+q/CoqpOGCB5qUEF2wg0LwMXdcpqfJQ+fdCy66gNNR1kaRd5aHoJr66+ZSGujBrW7GUOgug/n1fwgxFyJzex9Su28Dwy0LlOp68N7r6OiIrr5aelYokzp7dP6t86eX4zFsj+TrnD5M6cC9GpJLKK29VC65K6iyX69QItW0ivOQyL9basYqMPfwfCrMzM8Irr8bJTlEc6BSDsZLal0UfRqwaOz2hMolygCvMwN4TAqb0BcV7ZAaILt9O+tgTs3h76LqYPtU1/PGPf5xPf/rT/DrDcRymp6eZmJigo6ODd73rXdTU1BAOh/nsZz/LVVddRW1t7a/12OXxmte8hne84x1s2LABy7L45Cc/yYkTJzh16pQndd6xYweLFy+e2WgjyKsyBuuXHb8zi8vLvSuTk5OcOnWKK6644ld+rKmpKY4cOUIsFmPVqlXYts3u3bt569veTqk4k/iohxMEmpagBaNkTzyNZvio2PoOcUZbRYrD58gPdIjKSO2kMP34a+er3ecqsIqMP/llATDqprpoNVG0ODaRFVeSaX9O1EmJRhJX3ooZnnHvlqNWL4b+hZddTuqFuzxHdxkV729eip0cxc5OeeUkLSBKp+DcVfibluAWswx97xNi5kqNS1Ne09CDUVyrSN07/mmGGtxdxmu4YPgJzl1BeNFW/LWi7kq+eJeoYkDeky8oJcL+duLb3k22fRdoOpHlO9ACUaae+grhZVdQGjmvyg1lQKIpf1TeFT2cQA9GpZxh+CQ3ZqJvFilYPSnlunpZJBFqvYTAvFWkDj/qGRT9DW2YFfUUBjpnfA3l8o9hEl681QtJA8h1HyG598fqZKJhJhrx1y+QuOiLgJ96OEHVdbM3IU4xz9jDn7/olKDeo+mXDPvaBeTP7ge7KBJdlRBpp8Y8U6adHvdORdLvWkiobROBulZyF46SfP5HgIsRrcZMNFAcPOMFcnnvTfdhxmuwJgcILd4qJddyqBcQXrxV6AZlcoBuoPnDuPkUmunHrGykNHqBhg98GcMfws4mmdx1m5yGykFn5QWrfBpSI7hwI/iC5Dv3QDAK3sJpeP4aI1ZDoGmpMjBWk+87JR4v9TiJK95Dvu8khd6TM6IW9RjxTW+RSIaLgJ0Tj3/J24SVsfYAmunHiInpVqgStZ66q/zaG275nDoZjZJ84S7BE6ERWX4FxZHzQplwVK/I8BFbcx2ZU7tlMdI0WYSi1QTnLCdz6hlCy7YTXrCe4lAXue7DWKoE/NnPfpaPfOQjvFpjamqKT3/60+zatYtIJMLx48dZuXIljz32GI2Nja/Kc4yOjlJXV8fu3bu9uXbHjh2sXbuWL37xi7/RY/9OlMV+GsLFNM1XeFN+mcfp7u6mq6uLtrY25s+fj6ZpnlQ4GApizl1NZMWVIq/sPqLYX9JAN6JVUoqwLMFhVDZROHAvuA6hhRvxVTWR7xeJr9T5Z8oAgbkrcIt5iiPdRFbsINO+G1xH+gaqUWxNDTJ27z9LfGyiSQK+koPSeDd82JkJ7PQ4qRfuAjTJh4jVElp1Hem9P8SM1aChzWriuqU8mZO75Hl0A39tKyDufq8vhNTAS6MXMKPV6Esuo9DfAY4tCPI5y1TfRSHqdVNuKruEWTUHzfRRGr2AX7GdAKb33k75JJV87vve82Q79lCO0w3OXUHyhTsxotXU3fwpYV31niRzareXOY7rehTc4PId5E886b234Py1RFZcqcoep2egmwoQChBZfiXRNdd7UuZ8fwfJvT8CF4ItqykMnvZC0jRfEM0XwMkm0UMxjHAFpYkB3GJeXjdcNIlqONkpxh74V4xIAn/TUgJzV5B87ge4hYyU/Io5Gt73Rcl77xUGmDU5KAuOYVLoO4XmDyrTay25cy9hp8cw4/XE1t1IcbxHIecv+txV38LfuJjEZe/y4oqLI+eYPnAv9vQY/obFlMYuyGlD02b4dSAnqR3v98qDrlWkONrN9EsPqglZI7z0MoVsAQy/0JZ3fUuQKPNWk9jyduzMhJT4Bk+LpL28+YlWy+JZHvm0Ctly0HSD6CWvx0oOUxzoINu+WxI0VXyzFoiIFHrkHJEVVxJZcaWIU8YuMPHU17wFY3rfT5h+8S70cAVG9XxKQ6ehkBbPUDZJwy3/gp2ZEkZe3ykJ+rKKhBZtxMmnsadHZiTGrkv62BME2zaT6XhOFpZy6mcwqtRfNnowIvecXRIPmjqJVL7m40w+9n/Adch2vQhoEn2caMAt5oWCAKBpfPOb36S9vZ0///M/p7W19WfOU7/sSCQSVFdXs3nzZr7//e8zOjrKM888Q319/W/82OWRTErp8OVEgR/+8If84Ac/oKGhgde//vX83d/93c+1bPy08VtfXH5W/PCvApsECfQ6duwYmUyGDRs2zDIxlaV/ftNHybGlqdi8jIotbyPTuZepnd/AV7cAa6KP6RfvYnr/vXLULeVB173QI5AdoWtbTO7+rpc/75+zHH/tfAqDZwBXMCxlLb1qoMcueZ2ok3pPSK64SrcTTEVJLnJXwpukjh9G84elDr33h6pGvBdw1Ekmh1lZj5WamFFbObYHiAQwq5rQzICcJEbOSV/o9v+Fk0/hFjKEFm0mvv4mNMMktvo6nEKWTOcer5FuxGoItqz2+hoSkiW1dc0fovKK9+KrmSe5MCoYrKQQ5GVeWPrYEzLxmD789QtJ7v0JbjFLsHU9gYY2Idiqz3HWwtK6nvjmt6LrOr5EgwpG6xUZtQrBAo1s14tYU4MEF6zHzmdIH3oQM15L5fb3YyhfjpUapzDQSeqlB2WXbPoJL9lGcUgatHooil0uwQGxdTcSWryFkiqhFfrbBeWiJnEtGJXro5DBCMUJL9qMlRy5CNa5SQyCCgNzcayCr6aFyqs/hG76CTQvJbb6OuzcNONPfEX1l+SasKaGmD5wH6G2TRjRBNMH7sfOTJHY8T6CzctmArgGz5DpfF71oFxwbKZfuAt/0xIii7dgVtSTO3dQJm61C9f9oZkTVynH0A8k8Ezzh+WxdQ2zol6UZ42LGH/sS4KN0TTQDO/asFPjkr2SnkQLRKi+5sMe6qh8vUw++11VctO8cLuZEp4Sp9S1YsZqcHIpGt7zH1IK6ztFtvswpZ7Dnnqt7GGx0pOY0UpPnp4++jjJfXdgxmpUQ13KurIYTZM+/hRpdU2b1RIYWJrox5oaVq/NJbxkK9mu/bilvJC3HQfMILnO52QDlBqjfJJO77+H9MH7Ba3jC8rJaXqUc72DnP3e93jkkUc4d27mPvxNxsVcsdraWt761re+Ko8LciL80z/9U7Zt28bKlTOUg1tuuYWWlhaampo4duwYf/VXf0VnZyf33HPPr/T4v7XF5RfFD5dPLmXD5M8b4+PjHDt2jMrKSrZu3foK01L5eO33+0iXCmTPHsQIVxBoXIQZE0RDfOObCDQtJT/YxfSe78+EMjk2yf13kz29V4yL81Yxues2rMkB9FAFTi7pJT6WyyR2eozgvNWUJvpw8mlc18W1SpgV9eijFygNd4lxce0N2JlJCv0d3lE+c/wptECYmtf+OXowIrwllZJXUhJfo24h1mAHgbkrsTuef1k3RXaY4WVXEFt7gyiArCKl4bNku/ZT6DtJ+eYuDp4hdfQxQi1rMKuayZ47KBG/5YTMgOjr7VIeXAdratA7rQWal6GHYjI51MzDjNeRu0iskDn+JNZEL06piGb6KE4NiwvbLhJd/wYiS4QyUG68p489qci18m7y518i33NUfB7Ny9FDFYK7B/RQnIqNb8ZKjarFSUyj6kvAziaZPng/wYXSa8AwZHJxpVeiByJouoHtFMF1BDejvrtA01IC89fJ5N+0hEDTEtLBCOmjT2BEKiVhc+A0Tn4CNI2Bb/8J4IrrvXExlZe/W8E6t+PaFoXB00w9932vjFkau8DI3f+IGaslOHclgbkrST7/I6+/FF37GrAtEQV0HxHJu9d7CZA/fxjN8BNoWKgCuA7g5lPqretEVl5NQbG5Lj7R6OEEWiCCnRzGKea8JvvQd/5E7o36hRTHuiXa+IU75WQXqxPMvyH5QXZmCjs1InDGyQHQdZyshHW5+RTjj38Js6KB4LzVBBdcSnL/3ernDHBdNNOHlUkCLqkTu0gduEcoB5FKHKuIq4kBNDh3JXowquKmfUTXvEZIzwMduFaB4e9/AswA/voF1N70l2LMVVHHJdU7Ci24VLxXuRRGpEpO+5pOcN4q8eS4Drkyh8zwiQDHsaXXZvgIzFtFaeyC+LLUqL7xTzFCcZIH76OgwuZCS7ZSGjorz69OO68WtBJkcXk1Uy0vHh/5yEc4ceIEe/bsmfX3H/7wTA931apVNDY2cvXVV3P27NlfKRPrt7K4/LQy2MtH+bThOM7PNB25rktXVxfd3d1eoNdPW4g0TcO2bUZGRrDtQTXB4uE6AHEyZ6dJ7voGdmqcUNsmoiuvojgsaXmFgQ4hGh+8D5BkQyNWQ7b9WVzbojQ56MEfw0suwwjHKU0NCuZEkxr2yD2foTTchRGvp3LHe72FjUteR2l6lInHpbntFnOUJvrwNSzCCFegabo3GQBYvSKvzByTnb5R2YyTm56ZZHST0lgP2a79hBasRzf9uK4rJyvNQDN9mBV1lMZ6VZbHc3j9EdNPcP5a6bW4Nvm+U9jjvd5zB5qWYE2PemoooQbXyM5YnQoL/e3owbBSHMmuc/SufxCPCZA+/BDZzucINC4hsmQrmc7nyZ15westBVrWEFm+g0LvcbLnDysEiHyveihGxea34K9vI9C8lNCCS5na80OKg6eJrroWzeen0N+hJNanmOnbQGDuKq+hXBzrxR6deV8y+QUkq+Pez0h/qXoOTjGPNdGLv2ERicvfLWUq18GaHCDfe3LWglgaPsf4Y/8lvYbFW3BtW/onqr/iq55LdO0NFPrEC5U+9rjgbdRpMLbhJsJtm9A0nejqa8mePcj0i3dhVjYRnLNMSmjlvHfNkGayXcKsasYt5rFz0yS2vRO2vZPiWA9j938Ot5hD84ekKa2Ak5mTu7yTi2b4SWx/L4GGNrmOx3ooDJ0he3ofpWFRgkWWXkZxqAtbYYKsCSnH6aE4TmYSs2Ye0RVXqR7KCVKHHiR1+CFwJVbBtYuUxvvI97XPlL72SCk1tHAjpdFuXNUr6//6h9GDMZyMnIaqrvkwvkSDd7/b6XGm9v4Ya6yH4kCHt3ED5ARXyAIuZqJenUbldzR/yBMxOKUCuC56MAqGT+638T4xTqJR98a/QQ+GZ/PpQhVYyWFyPcdlYVGbLMMfouhY4DhSVi+8ugTjbDbL3Llzf/EP/orjox/9KA899BDPPvssc+bM+bk/u2mTKPq6urp+9xeX8gLw85z25QXFtu2furjk83mOHj1KsVhk8+bNP5caeuzYMd797j/AVu7vyIqrMBPSAC6ocJ+pp2ZkduHlVxJfJ3LCMnojdfgRMqd2A66gvetaRa4KFIbOQSkrhjUnL2UTECmx4wIlhbeQxdROjTLx5FfFC7FoK+gak099faZ5X8wyueu2WRMIgSjBxjby3UfwNy1VoEMxndmKrwWyq/c3LZGb/MC94khXnCxQzvUr3iO7xWKOQl87qWOPS3xyrAY7NeahLUoXLSroBhWb3+opm+zMpFAGTuzEVrvF8JKt6MEohf52fDUtFAc6cR2b0Px1or4Bqq77HxRHzpO/cHQmGEyZA32VTRSHxCwWmr8WX1Uz2a79gEZ4yVb1nGfEyW741G5a4I6VO271wp4iy7bjWiWm9v6IQt9JNN2Ha5co9B6XMmRmkkJmEkIVJDa8gcLgGXJn9lF51QfxVc+RSbLnOPmek+JJ0nSs6RGmX3qI8OLN+Kvnouk+5RvSiG+8GSMUUzLk9pkQNwBN6AK5cy+hmX7CizYRXrSJqX13kjn6KGa8Fj1cIZHO++8lfehhzCq52Usj57weiGb6iK66FqeUJ997kukX7gS7hBaMEmxZQ65rJpa5ONrN2P3/gus4JHa8j0DTUpWUeVqlSp71Gv8YJvkLR9B8QfzVc/DXLxDTozISar4geiDsMbsqLnsX0y89iOa6NPzB5xn67p9iBKNElm+X05o6CU49821KU0MEmhaT7zkuJ8SR82ixatz0JJrpo/LKD+CvbQHAyWcoDHeRPq6oFLi4hTQTT3wZX2UTgflrCLWul/THsR7vNDf0nT9B80svwC3mJEhNMfus1Lj03lovwZoewZocotB7Qj0+hJZeTu70Plyr6MVeg8vY4xJH7aTG0CMJUUvmpiXNVdPR47WY4YQQD8Z6PXBqqG0DmZO7CIVmEmh/0/FqAytd1+VjH/sY9957L88888wv1Rs6cuQIwK8sIvitlcV0XefnCdXKZTLLsvD7/bP+bWRkhOPHj1NXV8f69etnBXq9fPz7v/87f/u3fwtoYPqpvOI9nmw0NH8djmMz+fQ3vJITQPbULrKdz2NW1BGYs5Js9xHc6SGMinpx0KuGoFt2vHsJh9L7yHcfQvdHsFRD0TMubn67SJoHTkuut5fxLrtrX/U8HE3Hnuglvvkt3gQCQCFNXnkP7HxKFhZVy49vfBOhhRsYe/Df0AyT6uv+B64jx/7JXd9Sr0uew8lOkzr6OMHWdRiBKOkTT+IWMiSueA/BuStnOFkDnZJvUQ5rMnxyIglVEGhYiBaqEHWWRxRQkERV/hHzmoYeSUjvZsEGcp3P4W9cQmjhBsJLL2P0ns/gFnP4m5ZQGukW+Kamke89wfAdn8Ia70PzBai86gMEGhfLZ66CwZL778VW+HNwmXzuB5hxKTWF2jYz/eKdFPpPeY3xsgelONgpaYFWAfLTBOeuxEw0qEUOzEQD0UQD0ZVXkz7+FMk9P5T+zOgF8ucOkD93ADAAkbImtr+XoCI1C7H5JpL77yZ3RiZ7f/NSQbK4gLqeJx76N0qDpwnMXUli6zukDKlie/M9J2ZCq4BCfzvjT3xZKfk2Y+dSTF8Uc2AEFRpE3Uvp9udJ7haEja+mBU2T+6wcaGfn0hSHuzArm72eV65rv2wo9LLR0EJP1ENeBYMVc9gpOQWE2jaRPfMidmpMbQy1md9DNlT+2vkS1a1OKVZS3QdmADc9IWU0R2P6wL0E5ywntHirwCTHerCTo/jqWolfehOl0QueoKA4IosvgK+mBXApTQxgxGspjfWK6GbxNqyJXuzMJNnOfZ702FfZKAIXR05merhCekxamXXnCFYnl0IPRuQedx30YJTg3FVkO56j4rJbcEt5pl+8m9DcFZTGZUEpZ8Bg+GXj4ti/MDvqVxmvdpbLRz7yEW6//Xbuv/9+YrEYQ0MCtq2oqCAUCnH27Fluv/12brzxRqqrqzl27Bh/9md/xhVXXMHq1at/pef6rTf0f9bQNO0VwEnHcTh9+jS9vb2sWLGCpqamn/n7+XyeTZs20Xm6bLJzwSowufu7mBW1BFvWEGhezuTOb+Jkp8TclR4ntv4N+KqbyfccE/XP8Sfkd3VTblRNQ3NtSlND5M8dogx+jF96E3Z2mkJ/u9wkF8XtohtUXfUh/HXzAfBVzyW8YjuTT35VcsgTDZJJPl6u/YtiBjQqtr4DX808WZAUjNIuY+xdh0Dzcvz1CwSN4wviKFln9vRepnZ/F830kbjqQxKHq9RW+b5Ts3AsvtpWNMMnJchQjEDLaqlHOzb+xsWKk9Uh8uULR72mLq6Nr64VXFfw6q5LqUwTKC/AVlGyWlTE7+TT30BPNJA7uQvN56fqmg/jr18opaaLmGtleafrWKReepCimoT0YIz08adkYVG1/Mpr/lDk1ReOSqnp2OOg8s5DbZvADGD4Q4QXXiqfQ3+H7MNdGH/8y/gb2n7WVQhAdN2N+BINCvH/bQrlspRjM/XMd9D8Ifw18wi0XkLu7EFKQ6fFtJlLoZs+YYC5DsWpEUa+93Ep3Wg6VnKY1LEnCC/aghmrxghGhZKgG8Q3vlnov0NnKPS3C/5fhWOBhr+xTQktBNlSFlskd9+GEatFD4QpjfXICVg30cMJXKuIm58mMHeVWtR8xNbdiJNPk+87NUsS70wNe6eDzKndXs9o4rH/ws5Meuwu1y7i5NNYyWGMeN1F2JsSruOSOvqklEN9AbCKmIlGIsuuEAVgf8dMs71cZorXU7n9/ej+AL7KJqEtlwqMPvA5ES1ouhhQe46j6QZ1N3+Kyd3flc1gpELk7a6LU8jga1xEaaQb1yp5PqPoJa9TlINe8t1HBDmjm0SWbCV15DERDajPQI/VzPw5FBMAJ4jCLp+SaSFSBbi4xZwn5MlkXo6x+fXHq51C+ZWvCKF6x44ds/7+29/+Nu973/vw+/089dRTfPGLXySTyTB37lxuvvlmtUH/1cbv7OICs4GTFwd6bd269ed+4C+99BKvueFGUtPThBZuINd9GCOcoGLLWz0JcvpwmayriaY+FCPb/iyOXRSU+XgvlArowain/imVL9xS0Wv0GYkmBX5MABBdeRVWZorxR74opQUl6Z146iuSDlm3gEDzMlKHH8YtZIiuutZDe0jTspPsmRfUCQmvDGUuqSG0cCOTT39NuecBM0ih/xSF/lNiAnOlITr5/E/IHntM6vhrb8RXv1AoAy1rCDQvozQ5iKU4TgJgVJOQYUIoBtk0OCUiq64huuoa6QGsvAqnlCdz8hlJvgSMigaCc5aT72sH1yXffVikuJqOHgiT2P4+AfklhykOdlLo76TQdwL6xFmumX7yfafQI5WY0SqMygYKLz0w43vQDSJLryB/4YjIrU8+4xngZEHQKA6fJdy2Sb6j4fOMP/AvuI6Nv3Y+xdFukUnrBkY4gRGrojh4xvN5WJNDWMkhT5468eRXMavmiAFwydZZ15TjOEw+9TUKfScJzFlBxdZ34GSnPMqAJyrQdNmI+MOQS+HaFrnTL8gJNJ/ERSe69gac3DSF/o6Z/HqFYkEzZMGtk3JFaP5aXNdlev895M7uF8xOMScLi6ZjTQ2K0EKNQNMyKi67Bd3045QKQlDo75CTmRrFwdNMPP11gi2rCS3YgGMVPUltxdZ34Kuao3D4SoZ8EZOuONrteaf6v/5hVe46x/Dtf40eqZRm/twV2Lm06rFpGIl67KlhfI2LqLzivUJ6br1ERD3JESaenAk9s6eHGbnrf6MHo/jrWgnMXUVy/z1QzArE0hHGoGsVvVJdmfBgZybF/IxLzRs/SebYE5RwyJ7e68Ue4NjYuRRuKe8ZR/VgVHqjjoPrFPA3tFEc6kIzTHm/gGNbaJ4T/4T42oDIki1kOvbI46lN39q1a3/m3PSrjlf75PKLbI1z5859hTv/1x2/tcXll8G5lOXIv0qg19/8zd/w+f/4AnogTNW1f4S/rhVrahCnkPUQKa7rYo33Co4iVoWvqsnrn1i5FMM//husyQH8zctIbHk7eiBMdPW1OMWcuIgP3u89nz01wNij/4m/rpXwos2gGwJ+tErS8MynqHvbp2VR6zkqvCMlKNADUVxcnGIWIxjFV9lI9uwBBa90wdUY+snf4ks0zjjpnaLIYK0iocVbqVj/WpVHLlh0xyqQPV4OHtOY3n830wfvFyR63UJRH1kFfHWtlEbOE1l5NdFVV1Po7yBzYqe8tjInq+N5SmM9hFrXE2hZRbbjeTInd82oyYKRme/SdbyFBdfB37gE3R9C0zR8iQaMaBW580dmvv9gHM0X8PoT5YkDu4S/aQl2chSnkFa5IH+AlRwm33uC5J7bMaLVBJqWKOm3jNSJXUw//0N0f5iqHe/HVz0H1yp5wWDZ03tFMaQbhJdejjXZjzU5pPoV+zEr6tF8fukX7PyGOM/V7tzJTUvGvFVED1cQWb4D3RdAV3Jdf8NiJp74Eq5lEVp4qXhQ1ORT6Ds1453xBam68lb8NdJn4NI3YKcnSR15VDXp5aQw8dTXMKuaCM1bQ2DuSlJHHpUskqYlJC57l4BJxy4I8qTv5EWJnGBnJ8me2k1o8RaMYBSzspHk3p94/x5ccCmabpDvOU7qpQdJvfSg92+RlVcTaFkrPrOKOiJLtpHp3Dsrmlo8PAbhxVspjV6Y2egg8dHZzj3ibVEeKz0Uw05Kj6M01MXovf+Mv2YewdZL8De0Mbnzm7Kw6AZGrJrKqz4op9DyNV1WZbVtVNk1UxT6O7CSwyLVT09IactRiZCywyJ95DFFWrBwnIwKCyuqDaUMf9NSSbnUNHJdB+Q9BiL4qudSHOqSnqNKMk3u+jaaut7tyQGMRKNEVNslTyLtq19Iafjsq3bSKEcc/z6mUMLvwcnl/PnzJJNJVq1a9QvNQ6lUis9//vOAMIEyHXtwbVuggZkZh7OmaRI65PMrrAqeA7pw/pBkT2ga1ngvyf33EF60hUDDQgr97aQOPYRmipPfiNVQHOgQdVLfSWkYAxh+wku3yY59KIWveg6+6jnE1t2AU8oz+O0/wYhWSQzr8afIHH9auFWahlvIYCYa0QNhiiPn5GTQc3wW66tcosh17KY00E5w/loqtr0Tu5ClNNAphFmrSOP7/0sQM70nyF84Qr7rBdA0Qos2owciApS0S+i+oBgB+05gxGpF5pscEsPosDKM7v2RPLcvKPniZ/fLgpIcmeWt8TctwU6Ni5T4/EuiJiu7pq2iBy00E/XUvemT4kHpPUHu7AEKfSfFrNiwkKyXYSOjDAWd3neHN+mX6QLp0y8y/dz3QZNSWGH4LEasBt0fxFe/QAjAynekB6Po/qD3Wea6XkQz/bJoLNuOr7qZ4vBZ8heOk++W0uHY/Z9D0DIiwS3Tdc14rQSD9Z1EC4Spuu5D+FV2Tbl3lTr6+EyiZCnP5DPfwV/b4iFZ8v3KBIgm10nVHJk8x/tIjffJiULTQTcw4/U4xRxmpBJ//UL0WLUy9skItKwV4vHxJ6XUpJuKeKDha15Gqb+dQPNSAau6DtMHHyT90gPeZkFw+M9ghBP4mxbjlkrkzx+UTVLZha9Mntlzh9Av7nWWDcVlcoQvgL9hkRdiF162HbOykYKiUIt0XPpleqwap5BF000CDYsINCySYLpijtF7/gk7M4UZrxUhglX0yMRuMcvQ9/+C8sKnh+JEVl9PoecYhf5T3mkotGiL2tAFBIXk2uALEmhYSHHozEzfEPDFambyXkoFT+SihStxM3JNxja8CWuij1xqjOzpfTJ3+EIE6hdQGj77qi4G2Wz2VT25/HeO39nFJZ1Ok81msW2bbdu2/VIKjEAgIP9tWY1byr9swjfJ9xwn0LTUCxLSDL/iOfWJogVNFhaE0FscOT87q0KRZKuu/SMvLc+XaCC0eCsTT3zZO2YH5q7ACFeotDqw00mKY90E5q1C9wXRlN6+YtstWMlhCj3HyJ07RHGwE7N6LsF5q2Tid5m5YTVdFrVttxCob5Nyx2Anhb520kceFaS7pgEORkU91sg58Qy0rCbYshouu4Wxhz5PcfAMZqxa5JhIbXzoR5/EnhrEV99G5Y73oZt+/PULBCGSmmDskS8og6D0pXJnlZps9MIM8Vg3hLm2YD2A58/JnNqNXVbTLNqMEa2atZs3Y9WYy7djVjVT6DuJHpBdn2MVcC0Lp5hXi0F5yIRUGu+TScaF5NOi9PM3LMKaHCB9+GHSRx4R3IldAqsoCjtV4nDtElZymLIE2LVtioMqkVE3MSIJ7HIZRZX4Kne8H1/1XI8lJ96jQ1Bmctk26WNPElqwnsC8lWiBCPme47MiFOKb3zIzufadmn3tzlN9EMOEDVCcHCT5/O3YyRGCLaspjfZ4gWKaL4geq8aeHARNw1c9l9J4L/HNb/Wa19MvPUjeW3hcSoo6nD3zAv7aVnLnXyJ95FHMqmaqdtyKZvpnuGv97QonI32H0Pw1ZI4/TWDeanWyBYpZnIIjgXCRhJTQLsLUuKUCbqlAxdZbmHrmNsxEA7E11xNbcz35gQ7GH/oPNN3AiFZ5941lFRm+41ME5iwntv4NGIGQXPe6jmtbOAW1WCzeQvzSN1KaGmJq5zel/wHUv/vfxHN2yY0ADN3599hTQ5jRSgqOjZNPywnZBt0fEhe+2lxWXPYuknt+gKvKuwBG9Rx8anFxs2qDoGnkul7ALubBLuHkBZNjBMJKQPDTrRW/7ihTkX8fx+9cWcx1Xfr7+2lvb8fv99PS0vJLS/v8fj9oGsG5K4muukaktv3tJJ//MXZ6nPGH/0OFUy0lOH8tAE42Sf7CUfRYDU5qjGDbZvJdLxBetl3q6sUchb5TTD79DblxrALjj/2n9E/qF+BvWET60MO4VsG7ycuyX0vVf4d+8AmZTHUTs6IO17GwCxmvZORLNBCcv47hH/6lGPyUk5qy218+GKKrrsPfuARN1wk0LcFXt5DSeD92elya+oafwtAZLOXGH/j+Xyi3+vvwJeplh6p2eTmlUpPI3LJPo4vRez6NmWiUPlQwRnLv7YBG4or3Si09m/TIv95Eg1KTDZ3BiNXir50naJXxXmUOlcm1nG8PYJdKjNzzTzi5NOFll+GvVVRi1yHTuRc3nwFcBr/1P9CDMXGcL98OmiZmvjK+BPA3L6fYf4rY+tdLdsd4L3l1GiqNdhOYuwp/7TxKYxckX6Vjj9dU14MxKq98P0a0iuLQWc+R7ykAXQcjUoWVHMGolBOlf85Ksl0HvF28HqnCVy1CgeJgJzw/460xqprRHBsrOUps7Q3E1t5AcXKQsXs+jVvMY8SqsFPjFHqOMTreQ6BxCb7aVlLHn4J8apZSzkpPUBw6oxZsJf9eehlObprSeC+a4UPTNLKde8h3vYBZ2Uzl9vdgpya8nlBpSL5j+dJ0Ag2LccEzjfrqWilcBJcM1C2gvKsv9BxXcnsb7CKxTW8h0rZRXseizZ5CcXr/PaBpFIdOy+eh6aSOPCLelVgNqX0/QQ/GqLr6g5jxOgWoPEth6DS584ewxnsp9ndQ99a/l7KT68oJoZgFdPzVc3FKRZLP3y4LSxnnYs5WlWqug276sNITXtk7vHSbCBRsS7HkILhwC75q8ZJYF8nv/YlGTyCDpmHEarFT49iZ5MypqG0jubMHca0i2a79mKaPW2+9lVdjOI7zqvdc/jvH79TJxbIsTp06xdjYGOvWrfPyDn6VoWm6t3vS/SFCrZfgFLJM7bqNwPx1WBN9wiQqG/yA0NLLqLryA/R/5f0zKhjVvNP9IUIL1gsSBpeqa/9Y1YKPUOhVeRG6QWjxFjTTLwj+UmFGJYOGEa8luvJqSqPd5PtOgWOTP72P/q4DmJWNxDe8EbNch1c7rKKKTJXM8xQYppjTjjyCEU5g1s2n0HNS0YxfQ2TFDnnvStKaOfkMxaEzlNLjjPzor8UHY5hglUgdfgxcW52kQuTOHSS69jWYlU0Ueo9LPf7AvbP7J2EhohrhCoKtl4hBsZzFYpiYlY0z0mrDh6YbuKU8ZlUzui9AcaRb1GRjgodxJnpwAC0QIfXi3ZQnsPKu0deyjviyyygMdVHobxfT5tkDF33RumdOFBAhWJkpgqrk6auZh696LuMP/wd6WMoUrl2awfKoEV52OUasDt00Cc5dgb95CVZySEyHgBauxEoOiXP9xbvQgzFpJhez+BvaRO0Xr6XmtZ/AtUtkuw4w9ex3QWHa7Yl+yj6j1OFHMRINTD75FTRNRQQ0LFIpniL/zp1/idxZqf9rZkDKXq6Lr2ERZrSKbGp8Bs6pGxihGKWU4rRpBmOP/B8KF46gB2NUbLtFhAzhBP76BURWXq1ozbIw66EYmZM7pY/mD6LF63AmBsApYVY2eS78Qr8SKrjCkitj7VMH7iVz4mkCTUsIL9qClR5n+sC9EkFw9YcwIgmKw+fUe+sQtVt5IfCHyPd3Eg7G0QMRgi2ryQ90eN+PNT1K6tDDuMUsbiGDq2keoyy57w7gDgDlpO/BySYZ+OYf469bQHT96wk2L5WTRako4FmAYBzdFwTHmVmUdB/5rn3ku2YED/6mxUJRtgrKB6cRWXY5xeGz2JquFhYXfEExQqvHi8VivPDCC6+a6TGbzeK67v/rufymY3p6miNHjngZA8FgkMHBwV8ZXqlpGnZ2ehY2RvdJucyMJMAqqEx6teX2hdB1H7nzCrNRjuRNT4AyeAFopg8nn57dPynmGPr+n6P7w5jRKm93VPKCjyC4YD0VG96EZvoIzV9L7NI3CBLkme+AY0kN/7H/8voIxfFeUejocnLRg1HsfIqmW/8/UfD0HCfbuY/C+cOU43iLQ10Y4TiB+WvR1f8Xh85ghCuIb3mb4OL7O5Q73QVX+GSJy94tzczzL6EHwkSWXkaobTNjD/wLpeGz+OsWSHjUYCcTg51g+NCjNYIqUaIAKyknk7qbP4WTT8tCcOEo2c7nhS+mcuLBJd9zXHaGqoeQuOwWAs3LL1KTdUj/RtMo9R5jarLPyyMpjV4QkrEGuC5GvJbYqmulYd/fjl3Iktx1G8lnvoMRqyZ2yevQygFXtkOm/dlZC4tZNUe4bYceIn34EfRQDF/tAgpDp6GQ8U6h4QWXULH1HSKd7T0hO+vslNcbEnSMPGa+r52p3d9G000qr/kwRrxOTaxyaph+4Y6Z56+ZLxJZx8EIVxBacCnFiQGwbXzVcwjMWSHls/IGRjPk2nQs9FiN7MiTo9i5NKV+KbGN3P4/KZOenXyK8Qf/VUgDVc34m5bL5G4X0MMJAUC+5wuiUOw7SbbrRUrD57wFu7yA5S4chWIeX+08NDPoEQ4qr/6QKidLhr1M4HJiC85fi6Em8nJUcnK/TS41oTwwMQqDp0kfelCC3Hwi/HALGczquVgT/bhWYZY0OtS2ifyFY+jRauzUuCSl+oL4a+aJOdMfVgZeUU96hGYQI2SxgGH6pByq3mP9LZ8TsvT0mASQdTyHr2mxOPeBwoXj3jyhB8IiOHFs5ZMpoBkmJYWJCoXDHD9+/FVFtWSzMp/8v7LYrzg8Pbzr0tPTw+nTp1mwYAELFiyYBa/8VRcXwzDIHHuCXNeLBFvWEmxZjatOP7nzR3CyygSpGcTWv57cuYMCazwl+Phc3wlAY+Kx/5TJcf5agvNWCTjvZTHBuj+kJMDyGvMDnTM7ajXyF45iTfQRnLuS8OKt5Pvbmd5/j/hPLnsf/roF0j8ZEFyJnZ6Ytcg5xRkcub9pKdmOPTj5aczKJsJtG2dowcNdsO9OD5fuq51P5Y73C6SwfiHhhRuwc2nGHv687ASLWVJHHiW8ZCtlAURpapCRuz8DxSzRtTcISl+TREbBxe+lNH5BGUM1ubEcG4wZymxo4QaC89eS7Xzey6C3i1lQCj1UCmJwrvDMLi4NlqZE9eSrahZvT3/7DFm3PFzwz1lBYts70U2/9JMufYPKKfkyrlXAzkwy9cy3vF1yoUvtXA0f2BaxS28ivHgrZa5YYfA0ufMvUbggp6bggvUYwZhHKNAM0+OM+ZuXMf7gv3nS8/Jrmnzmu2TbnwEguu51mLWtXshcqPWS2fEF/hCliV6mdn9HZMuhONhF3HyaYMtaKra8VZhaK6+SWOCBTsHIqDKckxrDUaehbPtu0E3iG96InZ4g0/4sgeZlJLa/R0UrnCDfe1zQ++ozkOtVNl/SoxmkNNKN7g8T2/AGWXD6O0RtVcwBGqWpYSJLL8OIVZE7vY/AnBWEF2+lYsvbsLNJpp77geCAAmGlANyD5g9hVs8RUvHkgGy0Nr1FTrVKXZjvbydz7ElcXCVlXkV6vI/ggvVU7riVwe/8idCUY9XgOqKM002JEDD9uI6Da5fQzAC1r/8L7FyKwuBpUgfulcVA06m/5d8Y+vZHcYpZcmeFJ1Zx5Qcx44JfMuM1RJZdQa7jOYxgVCFkkFJu9Tys8V6R76uFJNiyWsLxSnny3YdpaGhg//79s2C5r8bIZDKYpun1kn/fxm/15FIO9Eomk6xfv/4Vq/6vSkYG6O/r5Wtf+xp33303J0+9MGticrKThJfvkBp3fzvxS28ifulNgGjXxx/+AmRTgEugZQ1WcoTMiZ0SiQpgmKRP7CQ4bxVmXEJ7NMOPXciSOv40lPL46lpx8hns6RHiG9+MnZ4kd+HILDIrmk5s/evxNSya3T+Z6MNOT0golm5QHOqSRqKmM/SjT+LkpxVafIZmHF68BdexyXUfEUe/moBKo92M3vvPwqVqvQQjVs3UM9+WnW+4QuJqFYoeIHXoEVIHHwBcMH1YU0MKsz8fPRDBzkxRGu9BD8WJb3gTVnKEwkC7mCZLFv1f+wC+ugXUvelvKJssXVzy/e3YKkoWEF5XPk2++zD57sMSGFU9Fzs9iZMeI7RwI/ENb5TG9qVvwEpPkO8+rDLoZRQHOhh78PMEmhYRXixhchNPfgXXLlGx5W0E56+jNNar+GLtM0FYdgk9VCEU6lIe3R8Sqfr0iOSzqO/Gl2iY8UW8Ysz4BIpjPYK0H+ykONgp6JFsUhh0hx7EiFQKimf4PM7UgJdDEpy7isorb6U4eJrs+SPkOmZMioWBdiae/gbB+Wu9hMrp/fcALvHNbyNQv1CiCwZPUxw4LSVg1yF1+GECTctEcqsbmPE6zBV16MEY+Z6j6IEwoYUbpVSqvo/+r38YzfDhFrPosWqqr/5DWTRb1hBbcz1OIcPkrm9TGu9BK8dHAGgaE09+hfDSywkt3IQRrsBU/K/6d/yznGB7T5LvPS4RDa5M8sWhsyT330t40Wb81XMwwhUKrimfqRmt9j5jTTfR/SJ+0U0fdj6tStWCAhJEkUaua7+IBwArO4Xuj5I5tXsmRM11GLztj2bFaQPYk31YU0Ld0DQN1M/b0+NemTW88io5zeHOMh27juVBLtva2rjzzjs94sirGUdcRr+8mgKB/87xWwsLy2azPPfcc16g18sRLwBnz54lk8n8ytgBEAT/TTfdxDPPPOP9nR6vI7r0cgoj5yl0H6Lpj26bFSU88I0/IrhwI7nO56i89o8It23CcRwK5w8xte/HOOlJ71RSPtVkOp8HZUiUJMcrKQ6eYXLXbdS84a8JNC0RX83UIOOP/Cf29PDMkd0wMaPV+OoXSlmulCe69jVElm9X/ZMSxZHzZNqf8/D+AJo/hK9qjiiTWlZTuHCM5At3ohk+Epe/GzPRMOPoH+iUCUjVzI14HZovgDXRR9UNf8LEE19WN5aGmagnOG+1JP+N9YAiE5SNoL66VjHBBWZyHexcivFHvuChNqLrXkv0ktczdNsfzuSTqP9GVlxFdPV1aLqOlRqnOHiaXPfhWVBOX30bodZLCDYvlTLH0FmJ/lVhTmb1HIIta+VEeDH7DAmxil/yulnqsvSJnWphEoCm7g+rervmlVLs5LAKMItgTQ4SW3eDAEv72y8KY1upfBFdjD/47yqUakZUEF6yjdglrwOVvVIYPE2+98SMDFk3xACZTRJYsJGa6/+Y0uQgo/f8E26pQHzjG0HTKQx0Uhw8rYykM8KA6NobiK64ctb7zZ17ieQLd6IHIxiRSsGgqPdpVjTg6ib2+AXMRAOVV34AQ4XUOcUcxWGZ6D3Yafm6qmwmOH8dgZa1JJ/9DsWhMwRbL6Fi01s8npxEVJ+R71bT0cMV6P4Q1uQAjbd+yVP8AUwffIDUgXuJrLiSwlDXzHdWphC7LoF5Kyn0HMffuFiEAAOdhJZeTtWVt9L/tQ+hB8Ki7LItwCV2yWtJHX3CM09evOCX763AvFUUek9ixGukDH5RNeHi6oIeSRCctxrdH/I2MFoojpubJrruRvLnDyvPkosWqsDNJYUKPdFPMBjk4MGDTE1NMTk5ia7rXkRxVVXVb8wY27dvH+9///vp6+t7VRet/67xW1tcyuWw+vr6n/nBdXd3Mzk5ybp1636lxz516hRXXX0NU5MTRFZejRmrIT/QIRTV0ozfxd+0lPimmwko/MfAN/+YwMIN5Duee0WMb+bkLqae/R6h5TsojV7AGu3GS+jTNDB8BJuXElq0FU3XmXjiy1S/9hNSUlNj/NH/JN97gsb3/5eICnqOk+8+PKOzN0wCjYsItW2SJrqukzr2BJnjT3vPFV5xJU5mkkLvKVy76D02hknljg8QaJihljqOw9Su2ygOncFXMw/XtmZ28S8r3wVbL6Fi482eTNtROIvyrll+R1OUgVbCbZvRw3EpRZXyKjxLyl+zbnhdkh010y9MsSXbMKNyQi1NDDCx8zbhpOm6JG8WMjO/b/hFFGGYBBduJH96L/6mpdS+4a8AsLPTTB96kOzxp2Z+VtPRAxE5QRayQqGO1eLkptF8ARre+0WsiT4pF/UcozjQgRaMEVm6jcLAaUqj3fiq53jCA3xhMa7alnci8BzxStGnBSJEV19PqHWdp1gqjvcx+dRXcR1HxBxTgzOLhqZ5BGjNDMwCOAK4jkPq0EMCxrx44jR8mNEqAnOWq0b1XsxEE5VX3ooRiqlFQxa2MtUaUH2XORIZMX8d6DpTT3+d4sg5+ax1g4pt7xTZfd+pWamXejhBYtstHroIwMmnGX34C7j5NKG2DZKNUo6oMHwY8TpCrZdQsenNJF+8m/Shh2h47//BCMelbNXfTq7rRfLnDxGYtwozVk3m5DNKvJJWT2zK91DeeFwk4Igsv0IUX65LcP468j3H8dcvFCDocz/AiFYSXrSZ1KFHwDSVuEIWDTNWLaftixcbJRQAMGtbCbZeQvrAvfhqWzypvVkzD1+icRYgFCAYCjOnuYmdO3eiaRoTExNMTEwwPT1NMBikqqrKW3BeHgXyi8ZTTz3lZan8Pi4uv9WeS0NDw8/9mV+nLPb5z3+ev/3bv8M1/VRe/SECDQpSuWA9jm0x8eRXBIjoD0l55d7PiOomUonr2N7R25roxykVPDEAhvLGoClHtAtmEKw8RrwOIxSXCevCMa8sVBrvJdC8VLIiQJz1jo3uCxCav1bQHpe/m8Fvf0x2n9GaGQ+EbkrJopTDiNfiq54rN2PjEsKLNmHnphm96x+x0+NeQt/k01/zGriBOStJnXgaCmnlwr8WTdelZDF4Rhq4F8E6i0NdJPff7cUclyb6mX7pfsqsM19dK6GFl5K/cEwlL0pvClzMymZc3YDJPPFNb2b6xbvx4F2OixGtRDN8s9z4mj8swgC1863c/j6JZk4OCxbl7Is4KXHUY1vkleKnNNlPYfgsgfqFGOE4waalZI8/Rc1NfyFS7N4T5C8cldfnOpg1LQTnrvDQ6Zryhfiq5xJbdwP9X/sQRjDiqQShrGhTzemWVVRceSul/nay7c+KTBnEf2H4PFRIav/dpA7cix6MYkSrKY12owejVF15q+eJch2H0kQf6eNPUlT9OdcqMPnMt/HXLyTYuo5AwyJSRx4jd/p58WSU8lRe/YcSJdAr11fm5C7ve9F8foqDneKs94fwNy9RSH21sIQTBOpaKfSdojjcxfSLd3rfuVk9TwXHZYmuvIroyqsopcYZvfNTuMUcZqIRa3KQiSe/LKfsWC1m7XzyZw+C5kripSJRl/0/mY7nKY12k54coGLTm2cmdkOmGiMUI9y2ET0YIX/+EHog4vVE3XyawLxVBOespDh0RsnlZQgiqJLi8DkyHc9T5nr5qprEShCMEFlxJVPP/UD8a+qUg1USFlnvScxYNdXX/jGOVWT6xbtnsnLUwqIFowSblmArxl9p5Lx36vYlGr3Smlk1B2uiTxSSk4N0dXVx11138cEPfpCKigpaW1uxLMs70Zw/f54TJ04Qj8e9U01FRcUvLHeVPS6/jwsL/JZ7Lpqm/VzWza/T0P/iF78onKBSnqnd38OsbCK04BJ89W1MPvlVnFxSShjrXiselgGpyxf628F1KJw9AJpG+ujjpI8/JZ6YeWu8Zn6241lAo2LL2wm2XsLIXf+Ar7KR6hs+jlPIUug/Rfb8S+TP7Gf6hTuZPnAfgebl0ni2JZzKdWxvMtM0Dc0wMSvqqXntJ4QHNdBBvuc4mRM70cMJQgs3eGh5p5ilMHyW8Qf/HdcqEd90M+G2TdjZKeV8LquuJGVR8wVwChns1DhmRa2UZuzirFJUeOkVlCb6ZkmJsUto/jChxZeSPb0P3R/0fBqTz3ybbPtzGLFqdRrqpyyZmn7hTjD84mGI1TB6/+fw1S2g+vqPYKXGyV04Qmr/PSocS33Pobj0c4JRzFgNmdQITmqc8NLLia29gdLkgKcmK433MnbPZ0DX8VXPwUzMwEv9tS34a1uIXfJacucPMfHYf+Grmcn4+XnXmpNPy4lEUaylWWyT73qR/NkDGJEEgTkr8Tcvp9B9GCOSoPLKWzHjdZ4RtzDYSbb9OfXZujilHMkX7iQ4ZyXhxZvRg1GsqUGKA6elWZxowIhUiqKs97hasNXJz/RjVjZTGjmLFggJF27uSg95E5x/CW4xR2HoDMmR8/DCXeCPiD/HsbxcHTNWQ/UNf4JrW2TPH2Zq1zelnOSCNd7jlUunD9yHv6GNice+hOs6VF4p/hpZNMT/k7twDCv5IuWs+UzHcziFtCxsgTCuVVT9CnkP/V/7IKAm0JdPkGpCd11XEbQlfTSx9e04jiNy7Isip8NtG0W04rqUyQy6P4hTyEijPz0pi5T6t6zajGjhCsyKBgq9J7Gy0+QuHKc03iMLiyqh1b71H8ic3EWh76Tk6yghgK+mRZhhajNZHJVTTKB5KdZEH9bkkPd2PvGJT/B3n/rfbNm8iXvuuQfTNKmpqaGmRkQDhUKBiYkJJicnOXnyJJZlkUgkqKqqoqqq6qcuIul0+vfW4wK/Q1LknzbKaZS/yqipqWGioBG/9A0qWOmY7KQVltxXPZfw4q1ohim7qIWXqknFwQgnCM5bRabjOYKt62WxGTpDofcU3k3v2IQWbiTQvMxbGDxPTCBMaMGlBOevY+D0C0Kj9QUo9B6j0HPUe43JvT8hOH8NgcbFYnzTjZnH8AUItqwh2LJGFDemT+XeKOXT0DmSz34fcAnMW42/SXDvRjhBuG2TZKN7/hMfRqxmRipq+ORzsIoQjBOoa6HQc5zQ4i1UNi8VVVjfKVJHHqM0doHI0su853dtG8cqMnrvP2ONXfDKaBgmdmpMegwXjsrEahfR/BH0YFR2rOVJwnVJH3wAt5Ajtu5GfDUt3uI+/eLdwN3ewhZcuIHYuhvRdAN/zTz8NfPw1bYy+cy30TSNwNyVFAdPKwqzxvjDX8RXM5fQoq2El1520UlEymeuVQQnx+TO2wjMW0lgzgoMJTl1ChkyHXvUpCIRv5U73o8eiomaTOFKyhsLNM2Dbobb4uh+ESWkjz+FaxUIzF1JqGWtJyhIH3+C9PEnZnpQgH/OKioVmdh1bIoj3aQO3o+VHJJyzEQfpRHBnEzt+haZ5mUyCRdzxDe+WTh24EUQZM/uF0q3KqOVFyE7M4mdS2Elh5na+U00XaPy6j/ETDR4i0ahv134YWqhMRONOPk0jmOhB8IE563CLmTh7AGMSKWKiD5DQUneeeEueW92UdhcsWpK4334alslyRIY+u6fEpiznMDcVQTnrvA2a/nuI14zPd99mOHBTnBd3ELG499h+jyXPppGZPl2Mid24loFOcWgUZoc8OCb1tSQt5iZsRrvudz0OEkVUoamSxkum5Tra/t75VpwHCYe+08KPScIzltJVkUn5C8cFflxMHZR2VAj0LxUFvHKOWQm+3j66Z0/dV4KBAI0NjbS2NjoMcMmJyeZmJjg/PnzGIbhnWqqqqoIBAKvOhH5v3v81nouIE33n/f04+PjnDx5kiuuuOKXfswtW7Zw7GwfDe/6V0BuvsLQGcbv/5xX5wapQxuJJpzsJE5mksC81VRsfgu6L8jQj/+G6OprqdgsedVWdoqJJ75KabATLRBW7m5VNy/m8dW2UPfm2Ujq/q+8Hz0Up/F9/wcrPU7+3CFSR5/ASY9d1ND3EZyznMLgGcxEA3U3/92sxxj41kfFKzB/DbmzB2f4TnDRe9HQ/EF8NS3iXE8OyeRQyoPr0vjeL2Bnpsiee4nUi3fO9Jw03VsY49tuIbb6Wu+xp/ffS+rww8TWvkZuhONPoQXjYix0HTTTR2TpdsKLt6IHpblfHO1m4ulvzBB0dVPKXJND+JqXEWpZzfTFbv85y2a913x/u6jZLqqtg4Sbheavw85nyJ7ahRGukBNDRb2i6opHJn1ipwIIumCYXpqhWdeKNark0+rfyrtmX03LRcIFQ0QDuk5s7Q3CX1P9E8eymHjyyyIpn78WdEOw/YWMTGK+kEyQjkV4+ZXE1l7vbQZc16U0co6JnbcpcYOhstcD+GpaCM1fh69mHskX7qQ01kPFlrcTal3nmWGLg6fJnT+Mk0vKe9BNfIkGAi2rpe/lD1IY6GRy93fRTD+Jy25R1GRZNMpIkvKIrruR8NIrZpVk0qeeJX3kEYxYjZAKhrsU+VhHD8XB8OGkRvHVtMiiqwQd5YVtau+PJFCrPMrX98V9vbK8/iL2mFyLGpWv+RPMSAWF3pMi8Bg5h692Pv76hRJ17Avhb2wTzH4wRmTJ1hn14EV+lotH4qoPMrXzm/hq52NNj+IWspi187FGz+NvXIyTncZKyslDM/3o8TrCbRuJr389k898h+zpvUSWXU62Y49sTAwTHEfyXop5sC3Bw8RrZynJTJ+fifGxV7yenzccx2F6etrr15w+fZrPfOYzLFq0iFKpxEMPPUQ8Hv+VHvPl47Of/Sz33HMPHR0dnpfwc5/7HEuWLPF+Jp/P8+d//uf8+Mc/plAocP311/PlL3/5FzIdf9b4/7uyWDgcntW013SDYNNSQCO+4Y2EFqxXDvtjcjRWE5k10U/62JOEl2xTLv8ZT4sZThBetInkYCe1b/wkICFB+e4jsnsePsvQD/9SGqbzVhNoWjzLF2NGq4muvhazop7xR75A/S2fozh8lmzHcxQGz+AWs5RGzjF0+18Tmr+WwLxV6lRj4hSzZNqf824gX9NSSgMdVL/moxiRSo8cW+jvEBR901L89QvIn3tJFDaAlR4n9eJduLZFfPNbMeO1nq/Gmhxk+vnbmd77E2pe/xdSQzfKWR0W+QvHxJGemUBT+eaFgQ61G38SLRDGCFVgTQ2Iqa2hjUJ/O/6mZRSHzwAOpb7jlPpPeBP81HPfk9CxJok5Lk30i+taBY5F17xGTgz9p7DGe0mVFUaaDqaffO9JwqEYuj+MEa+hcOA+3GKOwLzVhFovoTh0RkgIgDVyHtDAH0I3TMJLLyN79iDO9AglxebSI1UY4QSl0fNopp/UoYdIHX5EynS1LRSHzkIxR2z96wkvucy7bq2pQXJd+8lelFWf7XxOYfmXE16yFSc3zcQz3wZNI7Hj/QQa2jyGV6G/XZz/5es9Wo1TzOJYRcGx1C/EyaVw8s+iB6NEV15DceyCqPnKkRG6T06KgQhV138Un0LshFrWCKr/hTvInT8ki20hI1ETRx9HD1cQaFyMVchSUg3xxPb3oPuCKu5Ygroy7c96115pclBk0vNWEW7bDP4gqaOP4WSmCLVtIrbmek8pV+jvmLUZ8tXOn9XjK9+joZVXE25dCyCI/XmrGL3r74UIoRYmt5TzSmdmRZ0qUwHohBdvJdvxnIJkilkXfwQ7K89dGu2WRTJahTWqKOCrrxP/VT5NcegM2dMvUBrtJrX/XuLrX6/k3S7ZjufVPKB5z+PkUqr/6mKE41KWA4jWYPqDmLnxnzM7/fSh6zqJRIJEIsGCBQtoa2vDdV1+9KMfcfToUaqrq9m0aRPXXHMNf/VXf/VrqdB2797NRz7yETZs2IBlWXzyk5/kuuuu49SpU97p6M/+7M94+OGHufPOO6moqOCjH/0ob37zm3n++ed/waP/9PFbPbmUSqWfi3dJp9Ps27ePa6+99mf+zMvHtm3beOnIMaqv/wj+pqVeQ77/ax8kvvHNxNbd6P3sxK5vket4jsjq6yj0HPMw6egG/oY2Epe9C7NqDpqmkTn9AlNPf43amz/lZW0AjO/8FvnOPXKiKeW9Ewl2CQwfzR/+uvezhf52xh74V3EGV9TNPMbT3yR/eu8rH0NBK7VAhPjWd5DcdRvxre9keu+PqH7dXxCcu8J7jGzn80zu/CaR1dejmya5cy9h51LE1r1W+iCmn6qrP4y/ZjaaInngXg9S6GtcQmLr2yn0nWR6/70iAVUSY7Oykcrt75O0SdfFnh4h36+QHnZJsldWXImTT5M784JEyHY855WCAs3LqNjyNpVZI0mc3iShSpZmzTx5DlWucm2Lqb0/ptBzjNDCjYA7sxv3TgwllT1zHdFVV8+qWxeGzzL59De95jb+EEYwpnhnzN5ZGz50X4CG9/4fSqPnFUn66EVgTumLBeeuJLxoC3owLKetZ7+n4IcukdXXCdrnwtEZRIsakZVXE1l1NfpFqY2Zjj0Kee8KFRsELaLp6MEIWiCMPTUsn/2VH8AIye61vLBN7bl9ht2mZONGpJJA81LCi7eSPvoo+QvHxFR52btE5jvaTXHwDLm+UzjlzwEUMHWNNNv9QRzHYuLxL3sZJWbtfPzVc8hfOKYWjfLn7Eo0xRXvnXUacgpZRh/415m45EAEt5gTskU+Q2GgY+Z+M3wYkSpq3/EZ7NFuRu/9J4Lz10k0sYKe+mpbKY2el8RI1X80ahcQrJ9P5sRO9RzhGQPkRcPftIziQLvIwdWiGl60BV9lI7neEySf+8GM6rPcI3LlHtSCUTTHJtC0RPpAukHla/6EyUe+ICdz9R6i624gf+EYwdI0A/39r3gNv874X//rf+E4Dn/1V3/F008/zd69e/n617/+qvheRkdHqaurY/fu3VxxxRUkk0lqa2u5/fbbectb3gJAR0cHy5YtY9++fWzevPlXfo7f6Z5L+eTyq5iTXNcFx2b8kS/OQCpb1gDarBMNgKFu6Pilb0Df9k7Bv/ccY+rZ71McPM3IHZ9CD1UQnL/Wyy65+EQDYIaiYBhEV+wg030EZ6JfJlvlDRm5558Itawl0LKachzsy53+ZjjuPUYxOULh7EH1GKKkqn7d/1ScMmbKLS97DIyZiFonX8DOTOGWCkwfUFJiq8DEk1+RyWfOckKLtzC97yeURs6L+S89QWmwk9G7/1HdZNpMSUWBNPO9xwm1bUI3/eihCpFlKq+B5g+jK/EAIAsLgivxNy6m4or3oOsG/vqF+OsXEmrbyPhj/4lbzONvXExppBtrrIfR+/5ZHPq1C8n3n8SZHiW++W2EF17qfb9WcphM+7OS2qj2RpmTO8n3HPVic+2pISZ3f0e9dlU6KeaEZusLgl0ivPQyzHg9ua790oj2BdB03XuN8UvfwPAd/xsnMyGS1wvHJOny+BMimy7l0QIRyYk/f1jksG0b4fJ3Y02PkNx3J/lzB0E3PJy9HowTaFqEU8xT6DnmGS/9da1Uv/bPhT9XXtiU6MKaHmNy5zcJzFlBaNEW9GCU1KGHZGHRDdB0qq//qPd7ZVWeCAMC+JuWCpzS8BFoWISvpsWLzAbwNy+jNNZD+vBDiiYdAtuS/pGKSPBVNlF55Qfk858coNB7Qk6brkuxv52Rn/yNN3EHmpeTfP6HuFYJzR/CLeZwSwUqr/qgJ/uPrbsRO58mffRxcl37saeHKQ6e9ibOwuBpr4Rt1swTBePoeZzMJEZlk2Sq+P3SYwTwhwm1XkK2Yw/+piWixlOjOCAKv8jKqyn0nZzdg7RL6MGYeJymRyVeQC1e9e/4DKP3fRanVPCc/WbjIooq2tiaGpopy7kiCsmrasGrMTKZDDU1NbS0tHDrrbe+akBMgGRSTMNl4/pLL71EqVTimmuu8X5m6dKlzJs37/dzcflFC0Y5FMxxnJ8bEFYexWJR6oOuQ9UNHyfTvpvi4BmBVGoamfbdOKW8RBw3Lp7ZLVpFCIQF/77iSpL778FX10qgcQm5s6rsoSbz5L4fE2rbRHDeasxEA5rpF9z6iV24xSy++gUE564idegh/A1tuHaR6YP3w/67ZacNJJ+/ndDCjQTnrcKIVolU2cWLfgUNfGE0XcPJTjN6x9+C2s1n1aSQPvKo1ysyY9VoauGSk0GHt5vGtjAiVSSufL9K4Tw8C6nib1qCr2YemWNPEl51Lb54rZQ60hPebjEwb5XIbV96kNShh2WHWMyDaws7TCnTXMee7UtQ329x8DQjP/lbjIh4NMx4HdMH7kUzDJlwGhcpmW6vl8RZGlW9EMMkd2YfTiHr7aqLo+dFxhqMkbjiD0TRNNBJvv+USqzc5b0Gf9MSisNnMSvq0QMRaUCX8l46ZWzdDcTW3cDo/Z/zdunThx/FX9cq8EPVW6u88lZvYs33niBz4mls2yKydJvn5r/4ejbjdfgbFpE/d5C6t/0jTi7lBcaVMTBGopHQ/LWiUEJTC9sC/PULiF96E/1f/SDBBZeiB6PkLxyVBerE0zP3R6IBNB0nPT4rWsFKjTN696dxilk0TSN14F5SB++XLJvqZqyBs+AUPThlxZa34auZJ4q33hPkzr1EaeQc/qal+GpbKPSd8q4vTdNk8a9qJrnvDuKb3iIkZSWT9iZuTSe8aDOFoS7sYk4ioZ/7/izzb77nuOe0x3WZePBfpcwHwhlTZkUzWk1BXWNGooHKa/6IsTs/hT095p0QfRdVE4oDnd6idvGIrr+JxLZ3Shx530nSJ56mNNpNeMkWLwLBM70Cwz/6XzM9okAUo6oZe7SHTH+H/F24AjNeR2m4S3Aw2SSRVxEymclkaG1t/cU/+CsOx3H40z/9U7Zt28bKlSsBGBoawu/3vwJhU19fz9DQ0E95lF88fqdPLqYKI7Is6xcuLpOTkxw5csQjiAaalhBSWH0rPcnwD/8nbjEvN+ixJ9AMP5riQ9mZiVmsKE030FyX+CWvJX7JawHInnuJyce/RGmsl9JoN9N7f4wRqcLxSf3VLWZn+UnSRx7DVzOXxGXvwrUt4R0de5LihSMq7lcuZrOyEc0MgOtS6O+QNLuJAULzV1N1zR9ipSdJvni3BH0BpZ4jABRHznsQQbOiHkOV2Qp9J1VAVyV2ckSkz7gE564kOHclbHsn1vQo44/9F3ZyhEBDm3cK0nCJrr4WzTCZevZ73uKb2PoOjIo6SmM9Aio8vQ8rnyG8ZKuQb0fO4Volsp17pWSi6ejhOJU7bsWMVgtccqCDQl/7TEqh62Ik6pUqyUHXdfw1LeS6j84Y6QwfoYUbyF84RkntqsX3UsKI1VB93f/wIIPB5mVE19/E5M5vUFJhYXZmimL/KempTUr8QZlQjOPgOA5jD30eI16nehtpBr/7px4KRjP9cmo2/Tj5LHow7E2s1kQ/2TMvKA+TUmhNDDH1/Cdw8hn8DQu916bpM2yyis1v8WTS/rpWNGUyfYVUFwAXf90CYutukJyR/g4mHv0/3qnWnhrySnuTz36PyIqr8Vc3y2YjEMYMx6l7y99TGjlPvu8E2a79WP2dUgLSjYvk7QU0TfdUef76BYzd/zkpw6mToXXRpDvz8lzpwyk4ZZkzNvzjv0Ez/RjRSq/sWHHZLeR7jlPob5cFft+d4NrokUp8lY0U+k4RaNtIoUvI12b9InzxaqyJfgpDZ7xrwk6OMvH4l+TPqTHJ7ClmBUpZDpgLVRBsWkzu7IFZgWWU8hCMYITjhBdvoTTRT2n0gvjJbEG6lJVyrusqVZgNaDS87wteSTPTsYepXbcRmr8WS6F07NQY6CbV1TOxEr/p+L+lFvvIRz7CiRMn2LNnz6v+2BeP3+nFRSS42s9t6ruuS3d3N11dXSxevJiFC8Wh7lpFUJOjGa1EMwOEWtdRseNW8ucOiiFOyTVH7/40ZmWzQCpbVqPp5itKaME5ywHwVc3B19hG/vwhgUzOvFiyZ17ASo4QXrwFNG1m0jZMgnOWY8ZrGL5wBH/TIoxYHbmuF2eigYHwymuovPxdDHz7Y14aXv7cAfJnXkAPhEhsfx8uMPn4l0hc8R4CTUvJHH+S3IUj3mKlheIiFe0/hfepObONqGa8VgKxklJzL06K4zzT/pwoZwIx9WtSipPcch1/7Xz8tfMxgjGmnv3ezIKs6bilvEKWALpB/NI34lO8qUDjYnz1bVhTwyp7ZiGaYVIY6iK590fwwh2C3CgVoJjFrGwE18XOJqm6+kO4riOssN7jTB+4D5CbeeS+z2LGawnOXUVwwXomd34Te3pE/DHrbpSSzWg3xYFOcr0ncNLjM/0XXDLHHvdksN5HlU0SXfMazHiNJ5N28mkGv/0ROQk1LiK69gavV+gU8ypoDjIv3Qto+BsXURo+K9egpjN632cJzFlBdO1r8FfPmTHVAqWJfpG897czfOffE1pwKdEVO7yFCVUmKg51MfHIF5WU+EP4alpU/0Sa59mTu8ie3EVg3mpqXvtnourTDTkNNSzEziWxX3pQIrvX3qAEE+245Bh/4HPgCxBoXEzNa/9MgI+Aq6GkvlDsPU7/Vz+A5g8RaF5ObOObANczR5aHEa7wpPOubQm1AYiuuoboqmtEBTfcReqlhygMdBBetEk+A6DQtZ9yLydQ3ez9rptPe/0Ns2Y+1qicYgjFCc5dQe70PkoT/R6OJ9i81DtxFIfOeKeY4kTfrEwh1y6BJhUD6Z1oBFvXkTn1rCws6v41Eg2zemWezN11KSWHwVXo/9HuVxUy+X8jy+WjH/0oDz30EM8++yxz5szx/r6hoYFiscjU1NSs08vw8PAvNLv/rPE7XRbTNO3nKsaKxSLHjx8nlUqxYcMGEomE5+hPHX6E0MIN+OsWyO5Q1yX3XdcJt20k3LaR0niv9FWi1diZCUl0VFp51y6R7XyewLxVGKG4lL8A1y5S7G/HKS8sqmEd3/J2UW2V0y81ndJIN/nekwSalJ/FKKNV8pTO7gerIGa3sV4opMmeeJpc1wu4hSxuqTArm6Pq+o9iRitnBBCOhRmvoWLbO6nY9k7y/R2MP/A5gk1L0XUd23GZUdsURMHVsMibDDTDh4tLrvsI1uQgergCTTNIH34EucE1LOVRmIXKAC8ewHEcrPHeGegjYFaIy35q93e8KGBf0zIpfxRSRNQkc3H2TP78YUm3VMOaHhNFluOI10I3PYNk6shjBBoWEV56mZerkz72OOljjwOi/PI3LsJFQzcMAg1t6IGIZ6qbNawSicv/ACuXJv3SfYBO4vJ3yQkPCM5bjeu65M4eUAFYOsXBM0wMdHq1dnHDO57xsnL7+/DXL/BkuoXB02TPHiB3ei+5s/tF4KFOA6XRbqypQcxEI76qZvGb7L+b1P57VF67i1vMkXzpIdL77wYgsuJ6zNoWFQncJu8vUknq4H1y+u07xeTu78pCrRaoid3fJ3dqp/h3rvoARjgBCzeIMCM1ytS+O7HGLlDoOS59NnW/5c8fFor0+pu8tEnJ1jlA/pycMKb334eVTRJddwOGoe4RxwbXkYAv1WCfPnA/4RVXYobjBJqWSpTAQKfyeMkkrodiKua5XQysqgTsa2jDjFZjTQ1hTc1AUEPNS70kSXt6VEnL5SRSFotoVXPwRxIUek8w+cgXmVTXZLBljWwOHVeVovEoHNhFsEueEdVOjSsz7Aq5ttSGJNt1QE5Dmoa/Zp6UX81Xb0p9NVMoXdflYx/7GPfeey/PPPPMK8pt69evx+fz8fTTT3PzzTcD0NnZSU9PD1u2bPm1nvN3+uQCPxsBMzU15ZXBtm7d6oEva2uFVpw5/pSUv/whgi1rJDvjZaeR8oJhVtRhxmvJdu2XiwVpzk3u/CYgfohgq/DNyuWVMrjQ37CI4kA70ZVXCUlWpV9OPP4lSuO9jD/072D4CDQvF4kyYI31SJ7J5e/2JjB7elQkvqeekZ1sOZ4ZcPIpxh74HHooplIJtZmcbzV0dWO4rk1xvA9nYuYmdG2LsQf+Fc3wE5i7gmDLaux8Fqwi1kQ//sYlJC67ReCDqXEKAx3ke096BrixBz9PcP4agvNWEZizwtu55S8cw57s9/orFZvfKuFsxRzFoS4Jv+o5hnVS9QnUTV8cPkegoU0ZLCHXfRgMHxWb3yIlxHKio2Mx+LUPowXC1L/73zwBhubzE1qwntCC9V4fZOSuf5DyVS7J1K5vgWFiRKvRgnGs4TNg+qWvMNYjJsXRC4BL6tiT0hh3XcBmau+P8VXUE2hZS3jhBnIXjgrWJRSn6qoPoEcqKZXNh33t2GXSgOvgb1yM5vPjqlODv66V4tgF3JyQtrFLDH7nTzEUUduaHECPVUtpqWUt8U1vEfzNQIdKCNXE3IgmGSyFjBIUPKma54twSiUKFw6Liio3jabpHunatYoM3/G/xYkPWKlxJnbeRrB5OaElWzHDFaRP7MQau0CZkzb47T+5aJItYSQaSB1+BF9lI4F5a6i+8ROUhruY2vND0A2cYpb0gftIH3wAzTDx1c7HLRaU6k3DV7cAe3pUSNEH78OoqKfhln9ROHyRN5ehrOHFWzz1VfbMi97JwV81F6egAJulgsiaR7uFHK7kzYEFG4gs2sTE41+iOHhGALFAeM4KrAmRsieueK/I1PslGrw8jIo6IWUXc+TOHVK+Fp8X+4BjC7Hj8CNeDLaYkQtooRhuMYc1NYxbyP3a/YmfNl7Nk8tHPvIRbr/9du6//35isZj3OisqKgiFQlRUVPCBD3yAT3ziE1RVVRGPx/nYxz7Gli1bfq1mPvyeLC4Xn1xc1+XChQucOXOGtrY25s+fP+sE1NIiAMDqm/4Sa3KA7Om9sgOzChR6jnvqrWDLavSglH+s6RGlLplRZRuRBFU3/hmZY0+S7z2ucPQALsHWS9CDUbLTo16t3LVKaIbPS7/UgzF8tfOJLL1chAVDZ8SlX86qCVdgZZKep0GP1Qhi3zO9yc/5VZ2+3IzPnT0Amk762BM4uWlx6dct8LwphaEu3Nw0RjhBZNW1lMa6yfWcgGIW1y6Sv3DUS3tE08Ew8Te2zZgWY9XQtJT0sSdnPnPHJnv6BbLtz8rPqR2xLCwC1Aw0LcOn0jR1f0hc3dlpUDtc1GTrhV8ZPoFNFjNo4QTVV30As0LMWuGFG3Adm6l9d1DoPoxbyJA+9qQYPVXztzzKDWZN1wkv2kR889s8fE6283lcVfrDdbHKp814I4xekPeQHMasalYy6UEPn1M69CDpQw+q124Sv/Qm7/UFmpcRaF5GrmqO8ufI4xd6jgnCRdPx1bbgFLLYU4MYsRrK8cxaKOYt2gBOahwnNc7kzm/IxKXUYxefFgNzV5DY+k7QNM9/ku875QkD9Hgt4QXrSR97ErN6jpSZrAJuMYs13kNwwaUE566gOCgTa+bULskvUhJmPVqNFoxiT/QRbF03yxRoTw3hq1sgEQyHHyJ95GHVI9KJXfJawgs3eie0wkC71wcEqLz6DwnUL8DJZxh98F9xizns1Bj5vpPiwXIVyl7dE17vA4TnVb9AyouORb6vHdDwzVuNYZqeqk4Wbih0H1L4HLCnh/E1LKQ0dBZ0DSs1BmgE564gOHcF0TWvYeyBz4myUdMJL9xApv053FIeOznkiT3KpfFAyxqqrv9j8ucOke18noJSn4UWb6Y0dBYrnyJ3TtRk5Qb5bzrKLv5XK4XyK1/5CgA7duyY9fff/va3ed/73gfAF77wBXRd5+abb55lovx1x2/V52Lb9i8EU+7du5eFCxdSX18/K/9lzZo1VFZWvuLnd+/ezfXXX0/16/+n1ycBGPz+XwiF1hcQI5RKY/Qc+/6QZG90H8GIVOHaJRrf/5/e7zulPIPf+TiaP0J06VacQpbMyV34mpdS6u+g5g1/LTtXdaMMfe8TmIkGam76S+8xSlPDjPzor/HVzMNKTeAW0pQxFFhF3FIef/1CHKuANTmEZvrwVc2h9k2fnPnMctMMfffPZt6w6wgqvbZVmtfIgpTYJicRUC7x8R5x0F/UY9B8ATTDp3wjupgGE43SANV0Ak2LKfSdIrL6OhLb3km+v53kvjvk5HXR5KeH4p5hrkzgdUGIxNEq0E2c3DRNH/wKTjFHrvck0/t+guN5QTS0QBh/bSvhRZsw69uY3vMDESeohq38mBICVAsvzBrvlR38nOXkuvYTWXq5qMcch4mH/0OZGVfgb1gk8QNDXar/NENt9jcuofKK93g0aADHthl/5AvY0yMiDEiNU1aumbFagnNXYpcK5DqeBSAwZwXxDW+UiX+gk3zfKe+6ApRMvOxF8UEpJxiRfIrwksuIrr5WBBoDneT7272IZbkuw8QvfQOBltXo5XKkVWT80f/0/DqhhRswK+pIHX7UM6qWR3T1dURWzvb/lCYHGX/iS+IRKhMLLvb8+MPohnxnsUteR2TZFV64VzlKoIzOr33bZzAU7Td9/GnxPSniQWjhBgLNy0juuV0Fevln+nLq+9SDEYx4HaWR84QWrCd3TuTlkeXbsdMT5HuOCfDVtsB1iKy8Wv5ebZAiq67BiFSS6z5CSTXuQ6tfgz9WRXLvj+T7mx5FvFpN+BsXS4nUyouc3HWILt/uZcDEt76d6RfuRg/HRUJdzFOx471El233XrYQLB4htvZ6sqf3YacnvOv0da97Hbfffju/6XBdl7a2Nh544IFf++Tw2x6/0z0XmDm5JJNJjhw5QiQSmVUGe/koqzXclzVq9UAYTB/17/ysuN5PPkP2zItYhSz4goSX7/BuaqeM9bj4931Bhb1wlYlNjpUlFcs7dv+/oIcrVHLlGlxN9xri5eFL1AMa4WXbiazYMaO+6tqPNdFPYO5K/LUt5BXA0LVKr3gfRiguzV7dJLRok9wUxay3sIDU8id3f4dQ66UEF6zDnh5ncudtYJeIb3gjwfnrGHvo8+jhBHVv/d+y8+w5Tk4RB9ANIssul904M2j/3JkXsUYvYFY1k7j83R6TqvLKD2BWN1NQVOhC3wlcqyhS29a1UsvPlSc8TcCVqTHCSy4j1LbRQ5UU+k9R6Dsx85mHE/jqWyXSGbzJz1ZlnmDLGoFhdkrTOdP+rGSGJIfBKig39rVomk5kyVZcuyQL5J7bvdNPcbCTkXs+ja+qmdCC9fgalzDx2H/hZKeIrnkNkRVX4pbyIhNXxGqRDqNewzoqtr0dTdMx5q0m0LRUAKZ9J4muvREjFBOl3ECnTKxlYGM+JaFvKqyurLgKZ69m/OHPKxmtiELKogc9XEGgfiG53pMifFB0XnRdUlDlkWed7tIndpK/cFR5m7YCLhNPfQ1sm4qt7ySoMujL/RRrahCKORxNQw/GcF0Hp5hH9wttW/OHZqTewOh9/0ywsQ3Htij2nVSL8RgYvotkyRrhxVvkM/CHSGy7hannfoCTSxFachklFb+dO3tAJnyroHwn5VOnQ3Tda0kfehDXKVEY6JT76NKbiC3ZhpUcFrm/GrkTT5LTTRGFTI8RbNuIbgbEA6RObKFFGykOduHkU2RO75O+jxnAjNeLVyw9oeYAF3/1TBwCoPKRNApDZz1RT3j5djJHHn1VG/D/Nxr6/53jd74spus6IyMjjI6OviIG+aeNcs8ldeBerMlBgi2rMSub0FSaHSBxrutuJLr2Bga+9gHMaKUkyZUNigpMN7Xnh8oTs0QAjoYft5gl331kJhflosnfySbJduwhe0o8JG4pT/roEwRaVnvKqbKK7GL1lb+2lfGH/0M4TjCzi3Rd7PQ42c69BOauxAirf9dNHNsSz4NVxN+0RHHFhomsugY7m6TQc5zpkTuZfvEuyjvZ+Ja3E16w3vsMcKxZryO2/vWM3P2PWFPD4s5XzVinVGTo9v+FnRzC37iIyu3vFy5ZvRjiXNfBjFZjLt9OZPl2isNnGb3nn/AlGsX0qUlKX2l6jJEffxLsErGNNxNZtAkAX6KByLIrKI71MvHkV8B10EMxnOwUhfNHuPikIZ+PQcUW6e8AMzHMXftnlZxyZ/djp8clRqBuvmSl77tDPZaGHkkowKkQicWvI8/lq54r/SVNk77d3JX4auZRHL0AXunSJX/hMPn+k/gSjfjrF5LrPoyTS5HY/j7v5BxasB7Xccidf0m+DzXx5868QO7cS9JgnrcaX+18JnfdJrEMwShOIUvTB/4/ikNdHuanXBYNtW2Uy2+ij/zAadzMFHq8Bic9gaYbVGy7BXApDpyWUtjF/h8gvPRyAi2r0HTT89YE5q5g4smvomk6gTnLKAyeEVzMkUfR/GHMRIMQCzTd86D4qxpFLec6GBUNhOavIX30celvDXXJdxmMq0gL6UWFFl5K7vxL5M69hK7rioMHRkU9wUUbyRx6BGt61PN8JXZ8QGjPQO70C0oA4JI9eD+540+rPCBTvaYBzMpm72SV2PF+2Sghp4GJx79EvucEZkzUgK5VnDE9WwUmHpupVmAGoFRg9O5/wFAigMCcFXLSdx2KAx1S2jVMNKXI/GX8eL/McByHbDb7/xaX/1vDsiwymQylUumnxiD/tFFfX89NN93Enuf3MvHinUy/cAd6pFJkhyqvpdzIF6qx1Hnt7PRMfkSkCq2QkRvy+FMeYNItZsWXkc8QWXElmZO7MKLVJK7+ENnOvRQuyMRSHm4xR3Lvj2HvjzBi1RLUpGlexkV5eCUZ28JKjUl2uwtmTQvW5IDU41HCgvlr5WYsZgHN412VJvqZeOw/xc/SskZIu8NnmdpzuzRsgel9PyF18D58VXNwVFng5UPMcq5gz9WJIX9mH+UeUHHwDCN3/T1mRT1+5bZ+BTjQIxLLrtdOjYNVYuyeT3tN2tTB+8ic3KX4YpdRmuwnue8naL4glTveh696ntCWBzqllj901ju56IEQpakhfNkkZrjCSz68mF0VueR1lAY6VI/pCIL1EFVXcMFG8t2H0AyTiFoQs2deZHLnN+SEGoqJGOPhz6OZfsxEI/6GRZI6ahXQfH4S29+HGa+TXlp/B/n+U+p7k9eY3PtjstVzZ9JCexX5WTfBLuFvXkZ0xZXiqu8+SvqoNPAxTJGSD5/FKebQDJ/X46nY8jaJOzi9DzNei6X6SW5mUibUqQHwBam65o/wVTYCEJyzgjhvmoWaAcTFf3oveihOoHExZkU9qcMPowfCVF71IXyJBg8zUxg4LcZWFfkbXnoZdmoMa6Kf2jf9DYX+DsYe+By+6jne45cGT8sCWcwpQKo0zMtV+DLhON/XjjXRj2b6qbj8D7wTeK7rAOhyApt6+mteT9B1bCXMuEB8481kT+/FKmaILNlGaWoQNBQyRk5w5YUFVKXEdUGT8rKTk01CqG3zyxD/aqgSnh6pxJ4em5kP5EaRKPTJAZxiTtGTtVkO999kZDJSVn21ei6/jfE7Wxabnp7myJEjuK7L3Llzf6mFpTzuuOMOACYmJvjYxz7G3XffTXlHOnDbRwjMWUawZa1gYQyf5Ml37vHwLP54DYHGLeT6O0WO61je7gw0Kq//CKHWS8ic3IXr2ASblhBsWgK8n9Shh5l+8S6MeB04NjU3f4rM8afInz9I5uQz4LpMH7yfwtAZhdZf7UmUS2MXlIRSXuuMige0YJTSWI9MYKjMEV8AKzUugWFqoSg3RDXdINC4mOCc5aTHLlD3tn+kOHJeyla9x2XHphuCFZm3muDcFTJJ6waubQuvySoSXX0taAbp408SXX09vtpWgXZeOEpJ7YTTx57AKWQIzl0lwWDqNdvZpAAk1U6z3JepvPaPKY1dIN99hNyZfeTO7CtfEUSWXYFZ2YymaZjxWsx4LXZumqLyJKGbaL4g2VPPkD21WzwMmg6FNAQi+KvnUBzoJLb6WoxNN+MUyWNVaQABAABJREFUskzu+hb57kOUMTB5JXuW1yeS2PShhzArGiTVMVyBnUtJuW6gk3zvMaEnq8s1vOQyzFg1Rigm4g1/mEL/KYyKOlF8TfRLKayMpN/7E8BFD8YItq4j2/4sujKIhpQk2JroY+SOT4khNjxjXnzFKE/OrustLoAQfl0XijnGH/+S8v+sJLxoM9lzh0gffliUbKUC8S1vx187n3yvOg11vThznQUiFAbPYIQTUgqrbKI4cl451xW/LBTz+hgXD003sJIKx2L4CC/ZSvr4TlzXIdP5vDTITZPsmRdk928VvQ2Ba1tMPPTv6js20KOV1Lz2E+Ls3/NDJRTQiCy/QnnDNGLrXweaxvSBewXPdBFx2QjHsZIjDN3+1wTnrSay8mp8iXqpSjg22c590n8LRDBjVeAK9DXctpHC4BkKA+0e6dkp5OS9v2wTpemGqC6LIgy47bZvejLe33SUF5f/d3J5FYfruvT19dHR0UFrayuFQuHXTmKrqqri4x//uCwuhuwYcSwKvaco9Bwn+dz3vZ81KuqpvvHPGPnRXwumf+A01si5i+rX5ZvdZWrnN8m3rAak0X/x0FVOuR5OCP4+HKdi05up2PRmHMdh8Bt/iB6KiVS35xjJ5+RnASyV5W7EaykNdxHf/DZSB+/DLRVmVGRKqWPEa9B0Q/wTp/fK8Ryw0+OzWGzlhUsPxYksu0Kas7bF0B1/hzM1TO7sAYnT1TR8ta3CalLQzcorbyXQJEju9Imn0HxBwos2EV60Cdd1KPR3Mv7gv86mBVQ24audD+Al+RkVddipMfRwJU56zGNwVWx+K3ZmkomnvibIDtMnXqOjT6CHZUdtJYcpjXZjJhpEbWX6aXj3v2ElR8heOEr64AOysACU8pRGutVnOYEWiDLx1Fcp9BwnMGcFFdveiZ2eoDjQIXLnkfOMP/jvamLV8Dct8U5dRihGYP468n0nwXEINC/DVz2HfF87mRM7yZx4Gj0UA83AyU7ha1xE5eXvQfcF8NfMI7x4C65tMf7kV1SJRiO8ZOvMoqHNwAc1TcNMNHp/dqyS9Bsch6Ef/iWhJdtmfCTq9/PnD3l9v+CCSwWHE6kkse0Wb9FIH3tCNdgRaW1tq8Q6m34CzUsJNC+lYvNbKY73MnrHpxSefoT0oQdJH34YPRDxAs6MaJUo3nIpXKskROnyHaFKQtbU4Ew8tG4orJEjC5NSJmKVmHzqazPvPRQXxddFwWBoOsGFG8FxSB1+2OsD4jro/vAsvp+r2HZWeoLiyHlwXcJLtsrvKMR/5viTZI4/+f9j772j7Dqr++/PKbe36aORRlPUe7PVXSQbbGxsAjbFtAB2IARIAiSQRkIoPwglCQRCx9im4967LVu21aWRNBppZqTpvc/t99T3j+e5Z2ZsA8Z2AnkXey2v5dHMPffeU5797L2/Rcj8O7ZIEqou/JY0nySyutjZKYILhSGc/fgwRtFGwMqjxipJ7LgON5fEGGwjP3BmDqrul7/8Ba973et4tSKTyeD3+39na+Q/pPiDSi6WZdHS0sLY2BibNm2ivLyc1tbW39nqeHYUZzBll34AX80yr4qwZj0caihObMMV3gzfHOsRrYv5KyjZcR12elywoHtO4kwP4Zp5DwaKmWfoJ58g2LiJ8LLt3mKuaDOS+977qKroOS86j5IL3omVHBMM+47DFKXfI8u2YQx3gCsqAtcsEF5xIcG6tZI30oyTGsVfvZiyS98vETUnyZw7gtnfzPSzPyd15D4JLFjnPbSzeTGKpqOHE1j5DDXv+y8Kw+fIND9Boe8Ubl629Vyb5OG7CSxYSXjFBYDiMbcBMauRek6lF78H37wlZE48JrWzpM+47ieyahfGUDt2SpnZ6M5qP2iRUnxlotqY96f/iTneJyujJrmjFox3/7ylZFr2eG0VNRAle+IRXGnj7K9q9AbudrrA2J2fwZufVC8mccG7UDUNtWQevpJ5hJbtYPz+r2GnxwjULMOcGpxTDekVC7GmR3Azk4RXXkRsw5Uoqkp07WtxChny/WfE/KQoRz90jtF7vkygupHQku34quqZeESoCguGeB5F07HSQkalMNJBYaDVS97FpOFYpiRmuvhrlmKMdM7ikfhw5SbJUxQGImtfKz6rVSC0+HxCi8/Htm3G7/kS5lA7WqIaOzUmZgSKSvLw3djTw4RXX4KvpBrVFwQgtvH1BBdtEgN+qRVmDLWjBKKElmyRSC6HTNtzuPkMghfzl6ixipnnBih6BdnpSe9ah5btIN95BNc28deuwRw+i2sZzH/v1xm5/XPYqXESO95GvreZQs8JsscfInviYXBd9PJaVN2PMdKFOTEgng9czKkhCXhxBXBA1UDRUItJRNGofMMnhUvrYDvppodwTXF/R9bsJnNqjzdDBQG7Hrn3q7hmDjeXmlFgDsZxUqNMPvLfzHvHvxFcuBr/wBmm9twErsPGjRtf1cQCQhH+/7LFMfwBtcVSqRRNTU34/X527NhBMChueF3XKRQKv+4QvzVmo8dmVxHDt30Oa2qQQPUijJEOwSgvhm3iq1pEyYXvRtV9qIEwvvKFqJESkvtvk3/kElm1Cy1eJayNW/aQOfGI11ozR3twjTyTT94oPF5qVwm02SxZmCLDPrL2UoZ/+nfoklxXJLQ5mUniO64jLAfX/soGYusvZ+gXn/IkXbRoGZFVFxNeeSED37kBRYICsm37pDKuiGzLHkJLtwlwg6IIiRu5MAaqFxOoFrI5Azd9FC0YJVi3hlxX04zCrqpjjnZjjvd6NgRINrLr2PgS1ZRc+E7gnZhTg4z8/B/xVS1C1X1i3XQsD3psjnahRUpnpENm7eID85cRmL+MxLY3kz75GNPP/FQSR8F1BNHRGO1m9M4vgGOR2PkOT0MuULMMzruawmAbk0/e6C1s5vA5Rn71KbRwCf4FKwjUrmF6749xzTzxbW8RvBrJVi8MtJLrbMIcEAgmFGEMhqISXr4DPVyCY9ukjt4347FT2UBo8fnCI0gi5ooM/kDtKlzHwRhoxZgYpNDdBKqOm08xdve/CRWDknkE68V3sJMjoGgEl2whvuFKFE33uC25jiMer2M2RHv87i966sjpk48TXLqV8bu+iDU5IBURXgu2Jb1WWsn3tnhVzbw/+94MqlFV5wI8Nl1F//c+IOT/VU0kQNvCdbJEz78axbbJ9Z3CmmWZ7ateLPgiqfEZq+FEJXok4V0Pf2UdTnZyZmbkWCj+AOFl20XFJ9uE08/+nMLQWYJ16wSZEVdCkMW6MfLzf/AqTTUUx1+7hvy5Q5gT/WLuovtx8mm0cImYYcmNkxKMeVWVa9vCkTKfFklYMvt9lQ2ooRiFzCR4Apguo3d/Cb2kWoh5SipDfX09pmm+qlVGJpMhHA6/asf7fcQfROXS399PS0sL9fX1LFmyZI5fwcsxDJsdxZ7ljDWpCNUv5NUrrv5bAJKH7yV1+C5v2G+OdDDyq38W8M/5KzAzU1gDp0WpreqU7Hy7JxMSXnw+rmMz+fSPhby35hMIFiB79oBYnBVVqCQ7ljfYfH7rCscWKBkJtQSX5P7byJx8nMDC1YSW7SB99D6wjRcw9IuoLC0YIVCznOy5Q7iFmb9JHbuf1NH7UMMlwtkxN/2iDn6qpqGGoiR2XEdix3VYyTHyPSeY3vsTCn3NjPzqJGooLo3R1ooXPW8QqkhlWwXB7SkCCuQvmXjkWyi+AIHaNQTr183iPsydMxSvheM4gpEtr+Honf/PAwYkD9xOtu05go3nEWo8D2OojamnfywXd1EZle6+Xg7Oj5FrfVa0EVEEg19RPIkZPV6FnUtjNT2EovuIbXw9VnKEfF+LrGr2iPajbQAKgcbzKHQfRw1GiW18PbGNr/cUGiYf+x5KMCYqqiGBYCt0N6EEY5Rf+n7RGi3Cm/tbBGFzFtck376f/NkDKIEI/qpGtHCJXBzFoNo1cyS2vw1/zTJvNlQYOMP0Mz9h+pmfAi5avIrAPMm90n0E5i/HV7FQJD8Zk0/+AH/pfHlpXgTp5NiCU5Se8IQuyy7/CP7yWpx8WihKyNBKawguWEGu8yiumUcNJ3Cy0+h60GungahwrIl+lEAEO5cC2/ZUl0FsOn3lC8XcUp4718iJrx6MoUVKPTQYqCg+v1BBP/mYmKl1NVG08x65/XPyvNroFXXY0yMoquqZ6wlx1C1kTz3hfT8QYrDOLFSgGi7ByadRdL/Q8dN8hJduJdP8BI7jsHfvXuLxuGdTHI/HX5HvShGG/MfK5WWGbds0NzczPDzMhg0bvBbW7Ph18i8vNVRVLLpTz/yMXOdRsSjWr0PxBcAWZmWTj32H/LnD6OW1lF70btRgHHO8h0L/GXI9J2YNnPF2b9MHbiN37jDhZdvxVS1m8vHvYo51i97+jrcxvf92Cj3HmX/DtzCGzpFuflwkHtsid/YghcF2Qo3CudJXLgy8rKkhMQCWSrtlV/w1xsAZcp1HZxY3uWvLdx5j5PbPSefKdfgq6oQcRy5N5sxeT3PJV7UYc+QcFW/4O7H7PXeITOsz3uI8es+XPb8ZPVEtHsRZyVyPVxBdcwnJfb8iuHgLemm1574oZPsV0icfxzFywoagdL7QcpPfx8klUQMRQRQc7SLf2wJWHtcskO86JjxZZKSO3EuwYaMnbFnsU+a6juJMj6DHq4RYZ/s+UFRKdr2PQq9wFU0dvJ3UoTsl9DVKaPFmb5YUqF1FoKjam55g6KefRIuU4OSSgmF/4HbUUBwtUoY50oEaTlB2yZ95hm7x8/8EKzVO6uh9cgcN4FLoagLXxpwcxEqOoccrPIWGKZ/fq8jEDt0FVNxCmrEH/hMtWkagdjWRtZei+ENkW54SbZjsFIrmI77lGuzMFIWB08IyQoJJivdg4oJ3EJLVTlEKx5wcYvzhbwAuvpIazPE+Jh79lqfxplctId/+HLiOJwRZ6DxGQQIcpp/7JcbQWQIL1+KvXiTleRycQka0nWTun3zyh6KVOdIhlIQlLFmZDSrRfFS+9fMM3/SXAk3V+qyXOItMereQYeimvxIH1fykTz5OeMVOr01XrPALvc1eGzCwYIVQg/aeRxu3kGXs9s9650cvXUDp5R/CSY0z8dh3hL6Z5iO4cA2ZqceEArbUw9MTVShFMVPL8CSCXNcWMxw5KzOGRBuv+u1fYOgnfyu+o0zGixcvZufOnZ5N8cmTJ3Ech9LSUi/ZhEKh3ylRvJq6Yr+v+L0mF1VVvTbYr7Pu1HX9FVUu3ntFSoS9bG8z03uhWBkM/eivcM0sis9PZMUFKMG4UJKtbMC1TDKShQ2AL4jqCxDbdBX5riaBCJpFXvSVLySx/a0Czlp0U7QMr9UDMHzPl7AG2sC2yLQ8JVBZReZ1PoWvZhm+8nqyzY8SqFlKqGGDqCCmRxi57V89ODUIb3ZztAsO3iGkbBxrpvSPV+Mmhwkt3Yo5cg5F9xE/72ri510NzIgZGsMdGP1nBFw6WoYtd2ezIdvigAqqphPf+HriG4UNQb7/NOP3fBlrcoDk/ltJ7vsVarhEWCUDTnYKvXyhcJcMxQgv3SaY3hMDTD79Y5zsXBn39IlHSR9/WFQ1C9fgKvK8TA2L5LDj7ai+AHZ2knxPM5EVFxBZcYFoO410kD72APnuJmFV7an1zq2GtGgZoBBecRGxjVdiDJ/zLKvN0U6Q9gnTB28n1HgewYZNwtnz7EEK/S3oJfMpvehPsVJjFAbljCc1xvBPPwGazrz3/Teazy/ARY5DuuUpAcaQLHMtLJwiC/2n524YVB0nPY4STlB+6Qe8Fml09S4cM0+q6SHPMRRg+pmfkzx4F/6KOoJLtqCo0ibBF6DskhsE3Hy2xlvvCay2Z8TmSNOxpQdNzfu/Q77nBJMPfh0rNUrq2AOkjt6HogcISJ6OI+cPZZd9GGP4rJjFDLaK4fmy7Tj5lEguiqgI7OQoKCqTj8xI44sNk2zD1q6m7PUfxxrvZvzhb8l2qSOqrmd/JjT05q/ATo+DY83McmQ4hSyoKlq0HDs1Ousau+ALElq2HRyHqb0/EYlFUVD9QdEGk6KaxYQIkOs6Lu6N0gVosQpBbu5skpW9ixaKSUMwOb+0hPNqEcEYj8cJBALU1NRQU1OD67qk02kmJiYYHR2lvb2dQCDgJZrS0tLf2kJLp9P/p5Fi8Acwc1m+fDm/SYHmlbbFADTdR0iik6zUOOMP/pcUs1NxjYxYTB2H6Wd/DvtuRYsKT3VjqE1Iq1QtwhhsQ09U4WSTnny4YxYo9LV4/hLmeC8jt31G9Kj9ol8qdl8ziVMPRLE0nfDKC8n3nxGINEd4RujlC0hseRP5Hrmzm9X60hNVqIEoajhOxdWfEPpZ3cfJnDsC+aRn/av4g7hGjnDjRjLHH/JaHe7zzmGgso4cEFlzidjBdjV5bGNrckBAtheskMCAtaIV4849RnDBSiHRHy4h2LCeTPMenOyU2OUCoGCnxkkeuJ3Qsm345y0DR1R9TnZSIvgEb8GaHsGVRDnXLIiHu/h+qibskzuOEFp8PoKzMktfTFUJzFuCWbuKfHeTGCYbBq5lYKcmmD50F9FNV3qqvSKEXPyMz8pb6P/e+wnUrEDxh4W8/0gnyYN3Ctl728RX2UjZJTd4XiWBmqWw6SomnrxRDMtti5HbPkP8vKuEerWRwkWYggmNrgZKL3qPmL3JasgYbCN98lGvBePm00w+eSP++SuIrNiJHqsg275fJBZVE3OmC98NriNUuPvPCHM4iWoM1KxFkaZ0RY0317HJdRxGDcUIL9uBMdiOMSrsm4voRRBSOOgBjK6juFaBfPdx72xVv+vLqKpOYN5iYusvZ+qpW8i0PiOsG2QVYI73ehWxXjofY6CoM6YRWb1LtK1cl4qr/xbHcZh+9hdCqUFaJFiTA8ICe+D0DChERtGXxRwWrHg1Wi6FY5cQO+9qzJEO8dqhdlIHbiN1QMxGg/XrKAwIGHPu3CFpGx4WEP2JfqyJAe89fImqGRCOY6OVVGNPj4gZjqQI2IUsrmXg2qZnLPaZz36Ob3zjm2zfvo2f//znKIpCLBYjFotRX1+PbdtMTU0xMTFBZ2cnp06dIhaLUVZWRnl5ObFY7AUttGw2+8eZyysNRVH+55OLJuT2HSPP+INfxxrvlSq01zB2/3+iBmNUXfspCgNtgnTXeRRjqA01GCe8fBu2hCQKmfgZRr7qEx4xKCqxjVfKoe5xcp3HPPz+2N1fItS4iUD9OvxVst3jusLadY7Puos1McDY3V/y/iV37hChxVtmmPmaBraF6gtIjsx6Ehe+m8EbP4IaCBNeulXIobTvp7j4FlFxmZOP4hpZ/PNXoPoCXrUkHtgOtEgpwfp15HpP4aRGBWS7r0VUegCKKnZ0faeEi2dxTqSoQi3g1JPgWARqV2FMDeGmJwgt2YKTT89UeJKgiWMTWLgaJ5fCnOjHP28x5uxWBxQLSwCCjZso9J4SyrpH7qGoMWZnpuaYvMnTiJ2eFMNkiVpKH76b9JF7UTSfJH7++vvNX72E+JY3SRJqB4Xek6SOPQCAOdrJyO2fQy+tIdi4kWDDRqYe/z7meC9qMIaTT+FMDTD1+Pdm7pFIGfaU9OxxXPK9Jwk2nIeq6+ixclLHzs709lWd6LrXCqRc27Pk2p71koYSiOCrXoLRcxwtXkWobg3Rta9h6tlfkDnxCHqiGte2RKux65jUeFsAehCj/xS6tCnWQjFYvRvXMjCGO0gdf1iqTSiY0yO46XG0eCX+inoK/WdwCmlAYfiWj6OX15HY/lb8FXUe/Ni1TenHooBtCbO74XNz4Pt6daMcoEuCZXpKKDWYObR4FeElW1FUDV/5QnzlCwnWrWPsoa976hfCZjwmUIdyA+Skx9HiVZRcJODfvpJ5hJftwM5OM3rvV8AyxDkoXyi+Ry5JsW2mhUtmUQhcYpvfROrQnbLSawcUgst3Yk/0YeN6aDJwGbrxw961DS7ZSmTJVtKnnmSit5n777//Re8pTdMoLy/3wEX5fN5rofX39+M4zpyqJhwO/5+XfoE/gOTy20LX9Vc0cwEhRJjtO03m1F/KBXA18R1vRVV1VH8I1yqgaD5PNdXdcR0D370BNRIXwo5yLXLMPK5pUBg4g796ySy0k0CAFR+O2KaryHQ1MfXg17FSYzOtBn9ItJocW7DWNb/wAx/rEscpDsalhP30Mz9l+pmfesx81zI9iZpiCJUB3Sv5vRaCPwqKSqZZMIpznUfFzk3VRdtK9sfNobP4a5ZScsG7UP0h4W0uyY+pWXpNQpG3V/BCiudKKgGQnQQU4luvJbxkK1Z2irE7vyDg2Uu24JgFjIEzZM8eJNf2nIAWVzZIYqpLpuUpFFWjZPcNqMEo449+m+CCVSiBMLm25yjdfT2K5hdKuD0nSB1/BByLoVs+hl5WO1NdyQUt275feKvsep/ooY9KQcn+Fgp9p0BRSR19gEL/GcLLdxJatm2OGZS4BBqBmqUEapaSPv4woWXbCcxfKVpoPSdIHbyT1ME7AcFT0hPVGIOtJC58l6iAFRXVH8KRkvyB2lUYQ2dJHrhdVEP+sAAo2Ca+qkbs9ASuWSCx/a0ktr8VMznGxP3/Ln3addxCBkPaMGROPoYWSZA6dDf5ziME6tZSsuM6FM2HnZmUOmFnpIGchDjn06RPPEJ42Q58pTViMD3SgTXZX/zGuOlxkAKPie1v9TT0jME20qeewOg7xfiD/0XNu78qkYYu2dZ9Mjm6hJZuBcfBHD6HNdmPXl6LNd6HqutCs0zGyI8/BihosUrs5Ahj930VRQ+gl8zDV1lP9vQzoGmeyZcais8Y3vkjgrSo6tjJEUZu/TRqKIZ/3lKCtauZeu4XQr9N1VD0AI5Z8DoAgbo1FHpO4toWuXZhTBZafiGa5KYJORfRvvNFEoJA7QqfGdcRla6TS4rnVA8SX385hdEucU/heuTh3xbBYJD58+czf/58XNcllUoxMTHB8PAwDz30EF/+8pdZunQpfr+f6elpEonESzrub4qnn36ar3zlKxw5coTBwUHuvPNO3vjGN3q/f+9738vNN9885zWXX345Dz300Mt+zz/45PJKKhfLsrj66quxTAO8h0hYAY/88p/RIqU4ZgHleXpAwlxMA9sWftsdYuhctJUdu/tLci6wjlDD+jnw4mL4JCQ4WLsGJVJCrm2fQImZAmmEP4QWCHmaRIG6dSiKKhjttoFo/Ygwx7oxx7oBBUdRGPjBXxCoWUZs21vwl9eKtpFlzNgMA5lDt4MeFC03x6T0sg+jqCqZlj0Yg+0zqr2KipPPkD17gPCSbaj+IK5jC/KdHCKr0VIiy7aTH+3F7D0Btilgt11NHgFRDSdEdWgZM8gfiUYrVlpavFIgtWRic8yCfFBDlF32ISnsCapUq9WLboyOg+Kb8ZfXomVM7fkRevlC7NSY0L86et+c85/YcZ3Hwym+Tg3FSB29Dy1cgl42H2OwjamBM0zt+ZGYxTjOXNVeGS6gBmOEl+8gvHwHhdEexu/6Aq5joyeqsCYHMLJToKhM7/0JqDqJ3X9GsKqB1JF7ybY+Q8nF70WLlGKMdJDrOEzmxKMzUOnxXnAECqy4ox6/7yvY0yNE119OZNUu4cQ5KJwxCz3HGe2RLSs9IDxUXBcFgY4LLtosEWGycqioB9chd/aAaDfpAVRfACeXRC+ZB4qKlRwlWLuafHcThe7jmOuvwBcrw1daQ7r5Mc+P3kmPM3rnF4TMkWPjFDKElm0j137AUycG0KoW4ZfJxU6OYcyu0lWNkgvfTbB2ldDBG2z3UHPF+zyyfAe57uPifW2pkIECRkbAq9dcOuucnCHfcZh8x2GKA/jcucO4riOBBEJLzldaQ6HnpIR7i9I41/o0uVY5Vw1EiK7aRbrpIQoDrZ47ZWj5BWRPPzXHFA8rL5BoICylo7JC/R1DURTi8TjxeJyGhgaWLFlCLBbj5ptv5vDhw5SXl7Nt2zYuu+wy/umf/ulla5dlMhnWr1/P9ddfzzXXXPOif/O6172OH/3oR97Pr9RV8/eeXH4bgqKYXGZDd19KnDt3josu3sX42CiRta/BX7uGyQe/RuLCd+MrrZHtq6O4+RQuCmP3fEXsgBvWo8erUFQdKzOF1fosiqYT3/xmMm3PYY33ktj1XnKt+wRSqUMICeY7j5IMxQjWrcdXUefphdnZSaz+U2CKEj+2UZCt0mee89piekU90U2vxxcpFdXHeC/JI/eKgePsakZVCS3aLIaqcgct+vAO4OIqKont10lC4Rkyrc941q+KaxOq30iofj0Ak3t/Rrb5UUKLN1PoPy0FCh/ydotFccR813FwXYzJIcxZisUzTHMB6XUKGVJH7iV19H6xu4QXKDp7fBbXIdfVJDkFCpg5xh/8Glq0XPBCcEUlNsO6fNHj+BaswG597gVQaFxH8JZ0P76SGoKNmwQ5s+PwnLmH69heVZNpFcPu9IlHyJx+Gl9lPeFlO6SS8EzkOo95UOry1/w5vvJanHxG+pmckZsDk+nHv0MqGEMNyASpiE2L4hPIMBSVxI7rwHU8GLFr5Bj8wYe87xteuYvomksB8Fc14K9qILLyQsbu/XcB3FAUFFUjfeRe0kfvFzO5ynoB/c4lPVO04MI1JLa9WSzkfafI95wk134ANRQj2LhJzFYUhfwsg7rxe/4NJRgTCdfI4KtqxJoYwLUKwrpAXpqKN/6DaHkqCrmzh8QQHghW1HutMzs15nFJAM8Xx3EctHCC8OLzURQo9AqItCKVAYqbk+y5Q7JykfDqBaukGZs4J/55S4X+nmOjBCNokRJc1wF5jpCyNXZmVnJw3TnQb2Fs1iArOVd+R1WKUs6AaIKNm8h3HiW86mIUVDItTxJq2IA5OYCmvXzocTHi8Thvfetb2bt3L9u3b+dDH/oQjz76KM3Nza9IFPOKK67giiuu+I1/EwgEXral8YvF7z25/LYonlDbtl+yheidd97JO975TlwXEhe9h9DC1eIXUg7CEwLccR1Tz/6czIlHKAyfpdB/mulnfyad6QSnQotXUbrrveixCoyJfqzxXsKLt3j+DsZ4L6O3fQY7myR16G5SB+/0ynSYkUApiu0B5PtO485CSllj3Yzf9UUBHqioxzULWOO9+Crq0UrnkT97CC2coGTX+zx1ZTs9Sb7/NKmmB7yHsOzSP8dfLXbrdmbSSyzwwoG+FhQJILH9baiREqzxXvI9J8ic3ott5ImsuEDoNSkKTi5NoesYajBKyQXvxBjvI330Xkp238DU07cQWryZ+NZrxEym+wTZjiPYhTRTT91EuvlxDy5dRNAZg+1gm4SWbie28Urpg3KGQm+L56JYGDjjSYyM3PoZMeOoWycso4sQ5WYx54ms3k2gdjXTB27Dnhpi3nu/TqH3lJif9ZwQEGXZatSi5djZadRAGEXV0CsbSDc/BrZJsH49/pplFPpPy6qmVbCwgdy5wyjBOKn9QlU5vPhCNAlVVoMRMXtzbfLdJ1BDMZG0B1qxxoUj6PDP/kH43qTHwR+i/LK/8CDoocZNuK5D7txhIW4pI3t6D9n259DjVQTr1+Gft4zJx74jJOlDMZx8hprrv4E52i3M0TqPYEm7BlQNKyVacq5cQLVwgvCyHYSX7WCg8xiKLzQj5mgZ4v4rq8UYaie46iLyLWJHryWqvQG4GoqjBsIeNHjs7n+jqNlmpycILdsuwQcKxnCXeOzk+cg2PyHu96INtqqjRUtFRTfYJngxRg5F07Cz054qt6LpgjtmGdjJEaFcrPmEDluimkLnEbEpkoZ9dmbKszbAF0SPlWNNDom2cPH+j1dSdukHcM28TO6tGH2nMeW50ktrcC0TOztNtu05Ac/3h70WmharRI+WkWl5EsUfwsmlUV5Fa6zizKW+vp4/+7M/e9WO+5tiz549VFVVUVpayiWXXMLnP/95b070cuIPPrkUE8rvkly+//3v40qex/TeH5MKxQksWAmK+oLddHGxjqy5FGO4A3OwFXt6xNvV2KkxJh77LoH5KzzehWsZII24/OULUfwhAjXLKb3kz8icepLc2QOyjAc0H5HVu7GnhjCB9Om9uLmkp5UUO+8N0qtbDL2NoXYPPWamJ0VCkv7shYE2tGgZqu4X3IjWZ8TQUy4QE49/B8UfFnOiWYZTAOnjD+HkkgTr1wv+hqysXEmS81XU4auow3UdUofvEYkFuTA5JnppLWWXXI8ajKJGS0kfvRfVF5CLk/MC6f6B71wPgDXeR2qiXyjyFttltklk1S5iG68EBLM+ULMMa+l2xh78LyG9U1EvJfDBTo2SOfm4UEDQfChFgINjk9j+NkLSRsBXOh97aggtFJ9hezsO4w98jULvSXwVdTPtEz2AFq/CyUzgFjJE172WyJrXoCiK54RZGDrH1NM3g21ip0ZJ7f8lAIovKNwcTz+FGowKciwqha4j6GULKN11PVowSmzdZZ4dQPrkY565F2aByaduEhpr0g4g33OK5ME7PA28QMMGwku3i+q467iw2FUeBEUhvHQ75kQfTj7jyfAovoCw7tU0Yusvx5oeke6NkDn+ENkzz+Arr6Pi6r+RIBoHFAUrOeolirD0RgHIt89aiKNl3r2gx6sof80HPGHPTNs+Tzut9LUfxLUMcm37yHWfFMAQEJYV8lhKIMq8d39VGKP1NpPvPo4x2IYSiBBeuk2IwVoG2bZ9oqpQNMLLd5Bt24cWr6T80g9QGGrHGGwj131C+tmIv8m0PI1rFaQygFjoI8t3SjklW7a6pRxN/UYUPYAWTqAnqgkt3sLYfV8VbWVFFcK0rc9JLpwNiooWinpES0XVvbUk39uCnRrlyiuv5NWK/+2B/ute9zquueYaGhsbOXfuHP/4j//IFVdcwb59+152xfR7Ty6/rdWlKAqKorzkucvIyIh3Mire9I8UeprFMFsS7zJn9oICwfoN0udF9BVzHYdxUmNo0XLCy3eQOvag9NioF8zuWdDI9IlHCS/Zgi4dERVVw7UNVH+Q2MYriG28QjhG3vTX+CrqUHUftoQaukXUiutSsusGgpL/oi/fQWT5Dqb330ru3GG0WLnHRQjMX4453kf62H2kmx4QshNGDlybYP06jNEeFFUlsu4y8h1HPCfJInQV18Uc62Z6tFtUZvFKzzvm+bOiosyH41jkWp/zEDvWZB+j934Vf0UdAUneE4PSuZpjs6+pGoxS/a6vCnmc1mfJd80wwzMte8i278dXNp/QovNBDzL97M9QdB+lu/8cf1UjrmVKFvsZsueOiN2jbeKmxuVRXJKH7iTT+qwEF0gewmz1A1VFDYmHtOotosIs9DYLk7aOI+L8KCrZswexM9OEl+/EV1qDnU8Jky7bIr71WgILVpI8eBeFvmaq3vZ5nHxK8mOOzwgYKio4DrmOI4SXbEX1B1EDEYzRrpnEoqjEN79JVFVFOwDNB7YpVJPr15FtfRZVDxJesoXwki1isC5h7nq8Ci1aKtWxRWTPHWLy0e+g+IOUX/ohKX0PcTmQz7bvI9d+AKP/FLmuJsKNGwU5Mp+e0cjTfAJFWNx9WwUCtasEKEBVRaK3rRnZoVBMVEcTRZVuhcknvu/BoJ3UqBAsnR5BUTWpBwauosoZ3DqC9evggnfQ/933o4ViQprfdcAwxD2uqNIRM41r5HAcV1SJDRtkdSLuXTUUF8RL1/EIkyC0xVRfwFNUCC3eLKoqRSN98hHSzY+hBiL4KhsoDJ8FI48aiOCYBZxCxkPxlb3+Y0zc/x84hRkdsvxQu5iKKgr21AAf+MAH+OpXv8qrFf/bJMrrrrvO+/+1a9eybt06Fi9ezJ49e7j00ktf1jF/78nlt4WiKC9pqO+6Lu3t7XR3d1NbKx4uX+kCAvOWEt/yJuz0JEM/+zvs5IhA7Oy/DTVSihIVZZ+THCWwcC2J7W9B9QVJn3gUNZwgvvmNxDe/ETs7TfLQPWRbnhDKvcfuRw0lCDZuFCguc25FNFvSxTFy3sMlPy24LlN7bkQNxvDXLCO8dBvJg3dgTfYTbNhIYuubMSb6mHz020Q3XEFg4RohU999glzbPqx8mvDyHWiREszxPkARO9apYYyhs+iJKkoufi9qIIwx2E5h4Ay57hNgFbCTo17LbPTWfyUgkV/B+nWiunBdMs1PSufKNwn75/4zYpg8JI4FkDt7ANexyJ7ei1vISOn+NTMaaq4j4NoNGwk1bMRKTzD847+hZNf7xJyq+ziFnpPi3MhK0V+zxkt8iu4jsGCFMOgqQsBVTVRqtkXpJe8Xc46uJtLHZmCg2ZY9QnEgWizpZzYwWjjuDeYnnryR3Jm9xDZeSa77BLlzB8mdOyisiF0LXCjZ9V6CC1aK+6lsAYW+ZhRF8aq0+HlvIHNmL1NP3kigdhXmaBfpY/eTbnpQanL5sDMT6KULwHWwpoeJnXcVsfOuko6VLaSOP4Q52kVYumWK7zlXNdlXUVf8QcjhTA0BLgM3fkRuNFxwHNKnniC8ZCu+eUuFEVcuJbxR5E5+8qH/YtIngB5uIYMSCKP4wzi5JE4hK+9TqeAsz5s13ucNs83RLoZ/+c8ogQhOZkIs7MEI1rTgnBj94t7wL1yNFoiQmx6hMNjqyddTSDNw00fxVdZT9toPiqQgE7zgyVigaMx715cZ+skncY2cTIAurplj5I7PoQZjWJMDwvUyM4mi6gIOLSuMyMqLBUpSVTFGuzDH+1AjM5boiYvejb+yXjin9hyXaC8ILdmCOd6LMzVMtvU52VpTyEvrZU+ZHFCHTpPPZUFR+Zu/+Tif/vSneTUjk8n8Xr1cFi1aREVFBWfPnv3/b3KB3y4BYxgGx48fJ5/Ps23bNvbvFyQ+1ypAQBCRtGip0AvKThFatp1C7ymB7y/qCSkK5lgXyUN3EV5+gVgcZ+mRaeEEkVUXkm15Av/CVbimiTnSQfb00+A6GEPtjN337568jCZl9J1skszpvV4PWItXYidHqXzzpyXi6hj5jkMeMEANRAnULMNVlVkyGNacBU0Lx5l66mZPpBJFwTHyjNz1RczBNpRAlMQF70KX7Yxg3Vr8VYspDJ3FsQoEGzaQH+6E3DR62XwB05We5EUkF7ZFye7rCdYI1d5iZZU5vVeINuIKsqfrgC5mEkW5FX/VYrHYPa8HXSR0qsEYocaNgl1vWySP3kv68D2o4RIK3U1Cg8sXQi+vBauAOdaDlqj22hChReeROfkYwcaNYkF2XczxXqaevgVzpJOpp28Rn7m0hmD9Bq+V8etAIbHNbyK+9VqvqkkeuccTMJx66mbJGF8+09Z7fsh/j2+9Vs7WeqVt9FHMkU60eBXBhvUzmlfFlwXChBafLxbA0W6xczfFPWelxrCzyRmOk/gCuI4jVB1sy1Pt1ctrCdWv8+DHhd5m4XsTiODmplECYclbOU1kzWvInHrC+9zhlReLNqEjPFfEfeoKTxuZUJzsNIGFa4lvfiPGYBupYw8KiLWiCvvifqG553nuAIHKBqwpcQ6dzBSh5TsJNWwk33+abPMTGD0nSO67lZIL3iFut8zUjLurazP+4DcEcs+xUXyCLqDFKoSR2/A5lECE0OLNpI8/LKpIWVGoiWoUVZ5j2xTSOYBWUi3ULAC9ZN6sFu5VTO+/lfTxR9DjFeJvXFvM+WXl7wnAyg2QoqocO3qEqakpent7X3VFZPj9y7/09fUxPj5OTU3Nyz7G7z25vBQE2G+SgJmcnKSpqYnS0lI2btyIruv4/YKJnTp6P6ElW4VWlap6fg7maNfMjSwdCiNrLhVmWp3HZJtDERDTkQ58lQ0ocu4BgO0IafrZLSVVxxjp8uRl9OLgPTMBmo/AwtUUepvFQDk5iq+sVux8z38DdjbJ0E8/KRYX22R63y/hwG0okjk9m7hZfC/xC4fCUKfgzIBnQesW0ozf91UUXwh/ZT2+6iWkTzwMruOpCOe6jzP9zE8pufDd+KsXYU0Nkz75KJnTT+FVVk/+CDWUILBgOZEVF5I+9ST5jsMzUuQAmk5o8RZKd72XwvBZMicfp9B3GlBwzQLT+28lWLcOf/XiOWgx7/prOr7SBQCUX/GXqOEEBWnpm+89BbaJXlFPcOFqcmcPykRbPI7r3UP+ijqiq3czOXyO0PILMcd7sMa6SU8Ne+838fA3RYVWtxZt1k62uKsvVjXGaBeZk49SftXfit5+V9NM+whhhRBcdD7+qkVSR62YRBU5e6rHX1lPeOWFDN38UbRQXLR2DbFY2oaB5p+rFoCC0OA6dwhQMAfbGLr5r9HL6yQgYg3geqrJvooGzLFOArWrKNn5ThTdR2TlxTiWgTF8jtSReyUaUSGyfCeWvEcy7fu98+ErrRHMcMcRlteqn9Da15A9+RiubXk6anp5PaUXvRsQQAsnL+Duij8008qyLWFVEK8U2lyWQWFIJJvQyotJbHo9jmWQl6KaANmWJ2VbDVwjixopwclMoUZKBVLScUQCXL2LzPGH8ZUtoPyKv5JKzVE5axTw8SKJVdN8FAaLygB4WmHWaLcHpy6Cbbyzb5mggJWewJIIzsiKC0Wy9QUERLvzqEgs/hCaY6GqKqtXr2b16tW82uG6Ltls9lWtXNLpNGfPzliAd3Z20tTU5JE3P/OZz3Dttdcyb948zp07xyc/+UmWLFnC5Zdf/rLf8/eeXF5KvFhbzHVduru7aW9vZ+nSpdTX13uJ6l3vehff+MY3GG/ZQ6b5ceGB3rABJ5/CNXIYg+0e5Da4+Dzy5w4RWXEhJRe8EzufptBzksknb8Qc72P09s+hBqMEGzbgq6gHELpKji1lPQbRK+pwjTzz3vklrNQ4mROPkus6JhFKKpG1l+Bmk97nBjHrKJIwtXBcsIyrGim//CPCM737OGm50Ew+9j0yp/aIRaZ+vfe6XOcxnOQM+ADbxF+zjNJL3y+qou4mCn2nvYdNlQ6CTj7rte2K8xK9pJqSC9+FY+TItT0n51UnyXUeE17v7fsBBb18IcGFa0gff0jwg1SdokxLoHoJgWphfdz/nRvQomVkmh8nfewBFD2AX7aXCr2n0MsWeGCKotAljoseLUdftYvIql3k+1oYv/crgvSnKNiODZaBYxfNqYbwVTXO2qAUVaZ1nJyEnc5KZPmuJm8+opcu8GY0YhF74dDSX72I4MLVoq2anWbiiRsxek/MaKD5QwQXrp3ZdDx/o+TBtSHXewpXgiyGbvwL0HSxc978JlnlQfbMM3KO5ZK48N0CRdfbTOro/VKZQMzqtHgZ5pjYSFipcdEKW74TLRhF1f3ku4/PqD9ouvh8xfNQSIvKVVZR5sSAYL0rChVv/wKF1udAUci27fM4U9Z4N8O/+hdxXvNpAUueHkFRVKzUmFSBECZdRcfOTOtzYv4B5E4/LZKzbYBj45+/HGOgFa18IebUsIBU+0KEl20nfexBAgvXULb7evq//T4hLCm/dxH1hm2hqNqMiKjqI7R0K5mTj2FOD3lzQq10Pr6yWpHsjJxAtbk2gz/4IHppDaFF5xNdvVts3lyXXPsBcZ58QZRAWCQTdA/woM1fjmrkUFLDrwgW/FLi1a5cDh8+zO7du72fP/7xjwPwnve8h29/+9ucOHGCm2++mampKebPn89ll13G5z73uVfEdfk/mVwsy6K5uZnJyUnOP/98SktL5/z9ggUL6OvrwzAMfvKTn/DjH/+Yo8easPNi51JWVkZKjWFOStkK8OTAtWCU8LLtYuB79hD+2lVYE/0CvXLmGfEGrkvZZR+iMNhGZmoQRdU9Tww9Vk5i53Ukdl7HwA8/JNz8VB1b7raLQ8L08YcJLTpvxhtF1QQcVNM9l8DYtmsZ/O770UvmY070YQy0wnO/QJHtMic5gq+qEdcsiAVC03FtCz0mlIyjay7BtQwGfvgh0RI0cqRPPiqgt0UiY9EcTEYxcfkrG+W86hrszCSTT91Moa+FYN1auZgrHnHPW6TnHEghsvJiopuuxBztItu2T+igoZBp2UOm5Um0WAXBhg0zOmzPl+6fVekUBtshOw2uQ/bUE4DC6B2fQ42UelDnYoUnoKPCxlkvW0DZJX9Gvuck+a4mKe/BLGY6DN70VwQWrvGqmhcLLZwQ3j+9J6h6+xcp9LWQa9tHvue418qafPx7Quyybh2+qkaKO3RjvBdMA19VA9F1lwkxSQl3Hr/nS/IedHFVP4kL3sX03lvwlc0nuuYSca+0PMX007eghuOo/rBXdYcWnUdh6CyZ5sfJND/hVRJOLomvog7HyAlIr5EX5w8FrXqRxzOx0pMzig4ujP7078RmwXGEiGplI+ZoJ5F1l2FPj5DvbkKLVxJYsBJrahjHKkimu+CRCECABFUYOUp2vQ89Wkr27CGyUgDWX7saPVaOMdBKdPVuQg0bGbrlY/jK5ntK3jjODEhEUclLeLU51ottCr6J55iKmIXNABEMQku3kWvfjxaOCydR74aC2IYrsZJjFPpPkzp4h1BZkBUQul98D0URcxjHxnVyWJNi3QhWLSLXcRjFtsnnX0i2fTXj1UaL7dq16zfKbD388MOv2nsV4/9EcpktAZNOpzl27BiBQIAdO3b8xszq9/u5/vrruf56AYvds2cPHR0dfPOb3yTZP4FAbYkb2hjrwldZ7y2uih4AVcWXqMIa65nrfaKowi/FmLnBhJidNUuNVwz1XcfBzqdFJQPYMqGljtxD6vDdwl+lcaMnhjc7ipIkEZkorGySzMlHyUo/ct/85QTnLSbXdVw8jGYe93laW4oupN+DDRuJb70Wa3KAfPcJ0m3P4Uz0M/HQN9BLajweSXFBdx17prKKiHlVoa8FRVEwxiRSybZwHYtc+35G0xPeIi9agkLoUkBlF+GvWkR865sZ/MEHUUuq0QMxjLFuMT+Q1yB54DZCS7YSrF+HHqvwKoFCfytOPoleUkN4+U7SLU/hJEeIrn8d+d5mMmeeEdpmxbAMQku3SnkZPFkeVB1j+BxatAx/VSO5c0cAB19FnUCQdRwWr5fJ2xjpJDB/xUxlVbwumo/o6l1EV+8CIHv2IJOPfhtreoTU0ftIHbkHxR/CL03OMAsCpLHtLWLzUC3EH+18msnHvy+lURTKL//IrAQr3jN5SOip6WW1lO26HjUYIXVC2PbGt74ZLV4phEd7TpLrOoYxcAYtUUVg4Rop1OiQbX1GAk5ccdRi9ZxPCdXq13wQe7yH1IlHPJvo0JKt4DqYo52EFm/GV7aAQblZKsLPsQ3BlQlGcXLT2JkpjNEucCGx6z0EF6zAGO8VyV6GNss0TAjGylmqonjsfis15j0L1vSwl0SczARDP/igvPdMQst3kmt9FhS8mYsSLiW8Zje59v0Yg2fnPreuQNZVXv0JYQ6XHGFy70+8+Vpk1W6yrc/gFLI4o7M8iGTyL4x1CQVn12XN2nVUV1Vy4YUXcv3113PBBRfwaoUtk9cftcVeYbyUmUuxchkcHKS5uZm6ujqWLl36O5vx7Nq1y3O2tCQ0NN9xmKJsR3LfrQTq1hJq2CBubtcVw3hACcYJNW7CX7OE7Om9grkuIY5FkcrBH32EQN06b5FVNB92IU32zDPPG267XpveyU6RaXkaXCGUOHb/f8r2l0Q7KeqM0mw4TmLrtQTmr2D8vq+iy7mBnZ3y/saeHiV58E6C9evxVTVIEzHFM33ylS3AV7aA8LJtDN3ycdSwULVNNz0kuBQycu37CTZuRCsit2TbSHAL+tHCJajRUjFcDUYwJ/q9ykqLlgOu0MuyTE+toLhIa5pf/NvzkqkxdBZjsE3MrBLVaHIW4+SmCdSto2T721B0H3Zqgsypx4luuILEjrfhOA6FvlMkD9yGNdZDcNl29GixmpUoqSd/RPbMXvzVi4TYoT+Ei0L+3EEqrv6EcHycHCB94lGy7QdAURm/9yui9VW3lmDdehzp/Pj80KXNb3DhWmzHwuw5gWvkKMxSFS70tzDxxPcJNW4i2HAeqOKes6YGBbfFsRm//z8oJpXp536BVlJNvv2AUGaoX+9xk2aLhiqKkDXxldYQWraNoZv+GjUYm0kAjiXUrKV/EYri7eaVQJSK1/2luK7jfTKxCOa6Hiv3OC+Kps+qJBQKg+1SJkchvHqXQFPZ1gw3BZje8yOmdb8UkAzgm7dEaHc5Dnmp9GCnp3AkytIYmUEEmoOtDN3yN+L9bBO9og5rrEe00wbbKJqGxTa8jlzrs1I+R3w+NzvJ+J3/Jl7rWJRc/F78VY0kD95JvrsJOzlK9uwBgg3nkW5+fEYlQvehaMVnzUUvq8Wa6EOvqBebS8DqO41eVkt801UYIx1MDJzhtttu57bbbkNRVD7zmX/lox/96IveI79LpNOiu/HH5PK/EKqqMjQ05OnjVFVVvaJj/cd//Aef/exnOXLkKGqsAtexcTOTQma88+jMDlZRUQMRKq/9F8Yf+A/BBl++k0DNMkZu/xyubQiCV9dxKKTxVTSIYbSclRTLbUUPEFp8PtnWZ4msvoTCUPssJz28mQWuQ0F6iIOQLQfBtncdx1uci1potmWQO/EYWAUUPYBrFXCtwszuOSA4AaLN8Dy0nayKtFg5vpJqsm0HgRmpmamnboKnbsJX2UiwYQNmckx4t4/34p+3lJIL3okaCDN822cI1Cyj/HV/KSqr5sc86Gb29NNk2/YRWLCKUMN6AtK505wehvFelEAY1ygw70//XbStupsEF8YxsaaHvcUNRcUc7WL60J2El++chSx2vWsaqluLa2SZfPQ7aP6QWAwdCzs1xtgDXxPnVFFQAmHMqUECVYtmbWzEcXyl8ym9+D0EFqxk8tFv45+/HHN6hNy5wy8Y6IcWn4+vsnHOQN+cFDpaaqSEUP0Gct0ncDITRNZcip1LUug5SXLkdpKH7hL3h2Phr1mGaxmeegMKoGiYo53SX0bs8FNH7yN17AGROCTB9dfNeBRFwZwa8hSElWCM8JItZFueEhIuMkm6hTRDv/gnUUEUMgKNFQhjTvTjGHny/WfkB9K8xduaGhLzC1VDCUqp+KLXie5Hj1diTQ8TqFnhQXzDy3d6yuK5zmNyJqKSOngbqUN3iM9uG/irF2MMnyNQv16gx8a6UWLlBGqWYo31CDSa3JS5+RQjv/xn8YNje2rM/oVrMCRCTK1sRC+bT/bsAU/iBle4lyYP3AG4+CrrhXlYISP0yCwDxR8ksGAF1kSfkNKRKtz4g5Re/B60cAJ/9SKia1+DMd7HxMPfxHUdDh6cuUdeSWQygt/2x+TyPxz5fJ6xMTGc3LFjxyv2ONA0jTVr1vDss89SPa8Go2IxZa/9oBB+PL2XdNND2GmBslECYaJb3yxaS5oP1zbItj7L5J4foWg6pZf8GYGaZThmgXzHYSre8EkUVcUY7SZ98lFJ2FIJr7nEE6jMtu/HNbKe/zaA4g8z793/TqblSbLtB4RkiGuL3rqikj7+MJnTTxOsF9pnqpxRGF3HwHWJbXw94ZUXCj+M/jNke07iTA3iFjJk2wRbOdP8BOZYr9BPq1/vyVjYqTHMWRwcX9UigrUrKQx3YPSfxkqPC3Vk16EoUqmX1uDYJipiIfNAAeE4iS3XkNhyDQM3fwzXMtACEQp9pyj0zOzisQzCK3fhFNLku44JmHfR+Mu2GPzZ3+NmJuVC4hBecaGQlvHECUWSNUe7UReumdW2kvMzs0Cu47CchSheBeGrXkyh9xSFnpOCaFcENdjWTDUw+15JVGEMnZsDCgCRXNLHH0Lxh4XiQUzwaezpUfTyWsp2vQ81GCWwYBUTj35LnPOFa2Zk/HtOCAHNeCWBmqVypiA2I2o4Qdml70fRfEw8eSNOepya930Tc7TTmxsVE9H4/f8h7abX4Z+3eCYBpMZxhmaQQaHGjai+gNBsM7L4qhZhjnQQqN+AMdgq7kNN93TmcF2v9Qouo7f9C5o0L3ONHKFlO8h3NaFqAiFZ1BMLr9iJOXQOXLzEAgqqPzQDMLAMSnffgL+6kUzrPo+fpJcvRC+vxRg+R3DhWoL16xj+6SfxxSq9eSiuK8EIx/AvXIshZzFa+UJ8JdWYw+fEv8lk4Ix2MnbnFwAFLVaOFo5jjHQJfow0NAvUrva+q20K7pcajOEUhV1VH4EFywSk2cgzetcXPOtpX/Uy0kfv9gA1rwS2OzsymQzBYPAlK5L8ocbv/dP/prbY+Pg4TU1NBINB4vH4q2KeMxsc4PfpFOQgXtX9RNdeiqL7mdpzI6GlW4VE+lM/IvkUoChY433kzh2m2DrIdR4VcitFKRXbQFGD+CvrKbvkzxidGsKcHBBkNkuW7UaWQN1aFFUn33UMX2UD1sSAYPdvuILYBiEu13/TR0F6aeA6gkx27uDzLJcdwisvJrTiQhRFxVdWi6+sFjSddNOwkLYor6XQewo1HMeaGiS5v43kvl96pDInK3gQvoo6jP4zElrqekNqN5dEq2jASQ6LZBErFxXJ6b1Sz6nwQoFKQNV9uK5DoHYluXOHcI2ZykkrqyWwYLm0zn0eF0bT0UMxHFUldt4bmHryh0TXXIKvog47l5I8lPuxpwcZf+A/Rduqfj3BunWeonH27AFJzNOIrLoYKzNFoesolW/4hIDY9rWQ7zkh2jjA0E0fnSGS1q3zPkvuzLOA0F8LzF8xI07ZewpsA9fICuWGogWxoqCoOoWBVgIN63G9SrCoFiBk/P3zlki3R4kycxxwXZRglLLLPowuuS16OIGRmRDOqNWL8VcvJr75jUw++0uyJx4SAI3jD5E+dj+KL4BfIvWczKSQiUfBzSVRFBXHyIPjoJfOx19Z77mYFuG5ij8skrQrPovgeM1cm+Ji7KtZSsnu9zH0w49gZ5NzPIkU15UVo40Wk4Z7Ix3YmSkh6ImCf9kOfFUNGMMdpJse8BBweqJq5j5SmDHKs02pCaZAMOwZmxm9JyUPxcYXK8cpiO+BL0SgZgmFnpOUv+GTZM88Q65tn+ATSR6OnRz1NhbYljc79deuwug7LSRsipWqP+ipfJe+5i8wx7oEn6inWWxSFEUACNr2EY/P4iS9gkin00Qikd9JqPcPMX7vyQV4gWGY67p0dHTQ0dHBypUrKRQKXqn4SkPTNOESiECdWakxrNSY1zdXpWZYdM1r8L/mz0k3P870sz9H0fwEaleS7z6Or6IBRVVncWLkTnq4A/+CFd5QXEBAXezMpExKCko4gb+izjPHMke78Pgfs0IPx3Fcm/CKC8h2NeFMDc0dTop3IHv6KbJtz6LHKggsXCdQZf0tc1tXt36awIKVlF0qNKEyzY+TPXsIlGnQ/YRXXowtLV+F4VTTLB4Qnt+M4g8x7x1fwkqOeJL7hb5TGP2nGfrJJ7yqKDB/OSgqjpmf453uHW9ygMnHvuv9nDpynxjiSzmd4oJThAcX7w0tFCO8bDtqKMb4ff+OXrUIJzNJ7tyhWe6XgG0S2/420ofvBlz0SAkFeZwicTG0+HzR/nr8eyihqNC5KhJJfSHwJHreR1DaNocaNxJq3Igx0cfEw//9vOvh4q9ZhjnS5fGUkBWmJ6Lo/emMorQx1uNJubj5FGN3fxE1nCAwfwWOJSqv54cq1Xer3vKvKP4wufZ9ZFuf87TYlECE0PILyLU+h4tAKOa7T4Drimsj39/JThFYsBJjpFPAipOjUu0B9PI6rLFuwst3opfUUBg4gzHYhjnQyuB3P8DsxKNGy3DSE5iTg551cGjxFg+ZJ2YxwmvHaHuWkXY5m/GHCdYsJd8tEHcFKauf623xZJmEeoM4v6qqe8kQzUewbi35zqPYuZTgeAGB+nUokvzsL1+IWV5LTlFAUbFzSXBd/AtWYqfHsdMTZNv2iaSmB/BX1mP0tUg1AilhpOlYsjLzVdYTqG7EV1nP5GPfA9dFDcY8svOrxUvJZDL/510o4Q8kucwO0zQ5ceIE6XSaLVu2kEgk6OrqesVulMWYXbkYhoGV6WX4J58QbO6GTd7OyLUNJp64kVzrM+ilNaLXGillqLeZQM1SEjuu8zgxqWP3Y00OMHbvVyQnZiPBhg2AIkT4Wveh+AKAiyaTl/eQALgOo3d/iVDjRqF5lqgSSDPbFHwDyZT2VS0SvABDJNry138MXNezD8icfEQszIoqJDnS4/gDYUD1FkItFCO++Y3Ezv8TBr5zPXqsHFVVMWQboAhOUAIRVF+Q0td8gNSxB0RrSSZlPV7lWT0P3PJxQcDTfWRO7RFWtpoPcMWiqvsJLlw/o78lv+9MKCQP3Uny4O2ooTjBho3YuRSKOzNjeqF0v3jwfYkqbAUMSejUSuaJOYNl4JNwW2HG8pt3gKFF55E7e2hG7NOcuTZTT90kGPo1y4WwY3qc6b0/EddHUQVfYsk2Uvt/RcmF7xamYcNnyfecJNN2ABcYf+Dr+KoXEarfQKBurYDOAnZq3FNNVktqKLv4PVKvrEn43sjvOnrPlwkvv4DQ0i0CQSivgyK1tyIrLiSy4kKsqSGGf/4P+CrqJdhFJIBcxxEBGsBF8QXEzwi1Y3/1IozhDsFv8uZKCtZYN9ENVxJZdbEQ81yyRYp5tgulaJmgArWrUQMhcukJjIFWFF9QtBlVdQb9qOn4Kuoxh9qpvPafSZ98jFzbPiEQKs91oVeYuGmJKoyuYxhdxfvFFYg0abKXkwRn34IVXsfAHD7nbdA0fxCzqOPmD4rPoCjku455kkdaMCLEaW0Lx8mAP4jqC85REReVvYuTz3iE4dE7P4+vpAZj6Kz8ngaK5vMS8vMpES83ijDkP1Yur2JMT0/T1NRENBplx44d+Hzi5nk13CiLMTu51NfXc6ZvhHDDJnJdx0gff8hbhCef/BF2atQb6puTgyihhKiyiiQtyYnRoqWM3f0l9PKFOLkk2bbnZiQjAL2khsprP8XQzR8TD+igUHUVIRQCjIFWjIFWpp/9OVq8SkhvWAVcs0B865tJHriN2MYrCC06n2zXcSYf/BooikAy1a8jceG7GLv/PzB6m/FVLxKCil1NArvvWDiFHK5ULwZmuDWOTWHorEgqRTKmouAaOWzLlK0v8X1d94UJXtV01GgZVdd8SqC2Oo+QaXna8/iIrLkUVxIaA/UbCC8+n6mnbxFkzPr15M4d8nzMnVxSKD1LVejkEYFeG7v73/DPWyJmTvXrKO4q830tou0TjOKaBuFF52GM91HoPs7UgVtxzQKZ1mdQ5Xxp/L5/9yDXRbAEQKblKY8fEZi/gvTxh7GmBim/+hMYg21isS/qjikqij9EeOlWqb6rCH6HOKkCajx/BYH5K4isvIjhn/09SiiGNdFHcqQDDt7uWQ+4Rk5UO8lxNN1PYP5yAvOXE9vyJsZu/xzmWA++8jqBous/zdSTN6LFylC0ImlzbsXrVf+qIobyOcFhUsMJtGiZkCuatVnRpWWAKwm4ij+MGo4LUzzJRzJHOggu2UJgwSqcfFq4bBarFkV4qhStEfTqxcKOuL9FVGQSzhtZtRtrvBtQ8FctIli7mlzbPhRfUChYyGNVXP03wvpZQq3FQ+YjvHynSA7ZabGoO3l0f2jGvEvzE1iwXOjUjXSJITww8st/EQg7x/HsvgEcy/D4XWVXfpTJR7+Da+YlNF18lvDSLQI1aAsrAtfM4yudL31eFKnCvAc7l8ROj7N69WqWLFnCqVOnPNb7yyUg/r6lX16t+INILq7r0tvby5kzZ1i0aBGLFi2ak7VfiRvl82P2sUKhEIoLiZ1vJ7Hz7TiWRer4Q6QP3i4SC+CvWSYe7qF2sftzXezs9BxOS/Fh12OVuMEIBSneJ0JBL5tPruMoKAp2agw7OYKWmIc9PUTVW/8V17HJdx8ne+4g9sSAVNCV319RSZ8UVsVmcpQQoMekBPqsdouiKGjBGKCIhT6flgis4+TOHqDQe5LBH/0VoWLrqnY1oGAlx2BqCH/NMqFQkJ6kMHCafF8L1ngvo7/6l5mvYluM3vn/pH7aerFAKzNVkaqqhBZvJrR4MyO3fhorNY6qqlhyp+2vXkygZpns7+vEz7ua+HlXk+1sYvKR/0bRfeilNRJg4GJLaRCh3SauQXL/rzwSqZtLEt10FeZIJ8bwWcyJftkH13CmhsWOubTGIwoaQ2cxhs+S3Pcr1EgJSljuNC2D2KbXE15xkeDxDJ/DmhrEX9VIsHaVFC5NikH+sfsJ1q/32qfyA3rXek7Ixd5XVosWinqVgSDSCofP+OY3MvnkjV415hh5Rn71z9ipMWKbriKy8iJPsqgw0Equt1lypWDsvq8SatgoqqGKOu862FPDwvlRUYV8ytKtomXmCq27IrJKUVQxwLdNATxZdTGF7iYAYuddjTHSIeYLA2ckudIWM4bFW8SsSVWFYrNE9ZVe8E6Sh+4Ey/TmEaCg6rpwHZWnp3jfWqlRoYMGKIlqzLFesmcPkG3ZI5KImUeLlAowgpSCKdl1PZOPfgtratgDNoSXbceR/kjWWDd6Wa20MWjG8dwhFZGA+s8IeSL5GaafuslDz+FBp/0UtQWVQARfaQ3GSCeVb/wHRu/+N8zRHtGJcBzA5sorr+RnP/sZqVSK8fFx+vv7OX36NNFolLKyMsrLy0kkEi+ZOvG/Lbf/PxW/9+Tiui6nTp1ieHiYTZs2vag5zaudXAoF0ZMNBoNzWi6qrhNb+xrSB28nuPh88ucOU7r7BrRwnEL/afJdx8m0PEm+8yiDN35YcmI2ejpVBYm80WLlKIn5WIPiJs53HhPwXBnRTVejl9Yw9fj3cB3bE9GLrr+cwRs/Ao4t5gJLtgrfi75TONkpUvt+RerAHcR3CLG/9PGHpRrxWsFHka0P13FQZVUVXrad0VwKo78F18yTbdsnBSZnXPh8Ncsoufh9qJqGWhbCVzafYMNGxh/4umhbFGcggDU9QvLAbST33yo0xgpZr5rzBtQAigaIRFzUakudekK0uhTFg18njz1A6sDtaLFySnffgB4twzHzHovdM3ia1Uorciz0qkZCDRvFYNo0yHcfF4ZTuRRqIErp7hvwldYI9eHiML6rCXCFSm9RqReF9Kk9GKM9hJ/nPOndN+E4/nlL5I2iCiVsW0Cdcx2ihTP52HcJLtokGPoVdV7KsVOjGP0t4gd/mOjq3eS7jolW6j1f9t7DGO1i9O4vg5nDV7WIgHQNVVQNf/Vi9NIFHtEQwJwYENXBwTtQg1GpCiAQgL7qxViZaRTbwClkvSoitHgziu7DHD5HYbhDaOQpKlq0fEZnDEHcjYffJDTCBlrJtj1Hrn0/gYVr0WZxiHKdR2WlA6O3f9b7bGqkzDMVM0Y6xUxE85E59SRWWhCYC51H5X1i404PMf3cz0SnIFGNv7yWfMcRFE3DHO8TIIVYJcag2LiZY90C9ZUaQ9F1rGmxGQzWb6DkgndgpSekGrS4voGFq+VzekYkFk1H8QXEHEacZEJLtpI7sxcUhdy5I7iFrGjTzvJGcs2CaLNJpNqGDRv4xS9+AUAikSCRSLBo0SJM02RiYoLx8XFOnTqFbduUlpZ6Vc1vmqn8cebyKoWiKJSVlbF48WKCweCL/s1vU0X+XaKYqHK5HM3NzTi5JGMPfJ3ImksI1a0VuxdAkUN61xaLppCkX4+RGsPsb0ENxsRQe1bScAsZwisuJH7e1QCYE/2MP/zfngdGMYyhdqEqC15f2kyOMfLLfwLHJr75TYSWbpsRZFz3WjJtz5E6dDc4Fqmjd6NGy8VOXMrf+yobPS6La5so6kxJXuxNV1z9SdRASLTtzh4SvWTXwRxsY+TWf0GPVwqYcqyS6Wd/Ciho0TLszBSh5TvItT7LvD/9T1wjS/rk4+Q6xDGsqSEGfvhhArWrPAKoomq4piGky8WnglyS5P5bAbBcl/HHvkv+7AFwhWFYkXuj+oL4F6wSLbJZ4Z+3lOj6y4XHS18L5kgno3d8DiSDGl8UJzMNuIQWneclfTUQJtSwQbRGiklKneFuxLdcQ76/RUCme6VXO1AYaCW4cPULYcpmgYzka7iW6SUOKz0x40YajHroLTs5ihKIeMk3se3NwnY4PUm+5wRTT/8YOz3B6G2fEfwR3Y850sHYnV9A8QfxV9QTqFtL8si9YBbQS+ZhTQ0JJFxqhEJnE04+LQVDIVC7ioqrP8HQTz4hIPatz3qtRj1RKRd3ASCIrLlUtHAluKBYhRjjvYTCCXHv161F0Xzk2vej+oMz0GDbEiREVcdf1UCgdg2pY/eDaxNZvp1c13HRdu1rEZWI63qK1SgKqj+CXtWI0dvMvPd9k2zzoyQP3kFo4WqPF2OlJ72WlpMaE4oOgK9mOaFl20k+dZMwJpNzlsLAGcYf+bYHklDDCZxsUnxuOd8JNm4UPjW27VUweul8FLkdcAtZ7CL6TPeLytd1yfU0C3SkkcMa6+Gd73wn3/72t3mx8Pl8VFdXU11djeu6ZDIZxsfHGR0dpb29nWAw6FU1JSUlc2DHf6xcXsVYsGCBh+B6sfhNqsi/a6iqysjICNdccw3T09PopQso9J4U7QDN5w1bXUUiagpzUWq6P4ipamII3Hl0DhQT1YedGqcw0IaTTzK9/zZQNdRgFMfIUXH1J0iffIx8X4uXFMbu+jfUUAwlEPUE95JH75Ms4g2El2wjffJRsmf2esqvbjYpOAuzoki4Axj+6d8RatxEoH4dgQUrUdSit4yFr3whie1vI7H9bQzc+BEiKy7EP3+5UCHuPCrcDBUF9ACRpdswx3ulZ4Y8hmujBqPEN/8J8c1/wtAv/xknO42/qkFUG5IA6smT+4IEGzeSa9tHbMOVZFqexMmncfJJ8hLhpUXLyLY+S7b1ORR/CLVsIfZEDxg5z0grtHQ78fPfIHbxUgHZyiYZv//fcY2cIJEagtms+MNkTj1JpqXoFLkUJ5fEGGpHK6nGySbR4pX4yhaQa9tHZN1rhL+KkaPQf5qpZ3+Ok55g4sGvC1RS7WqCDeu96k1UKq5sFVnolYuwRjuofNM/okVKyLY8Tfbs/llM+AjhlReRP3twTgWmRUuJrLpYwJKDUeHps/9WYue9gdCSzZLXclz46AwIQmNo6VZcI4slYe6GbCsRKkExs7gOFPpPM3rH/8PJpQSkWPOhl9VgTQ6KSqRPJMNAwybiO99BpuUpnNw0heIgHJi4799FW7F8IVXX/ovHZXIdSxrniYQeWrJV6G3pAeKb/4R8z3GsqWEBZzeygEugbi0VrxdCiVZSOLuaw2cJrbzIIxNrgaDneImqe9wZzLxnUzEboYZtUpBVrZMcIbx6N/6KOvLdJwQ4wHUIL9+JMXwOJzuNnU2K1qCiosWrcJ2TYJsCaDDWLaqRnmbv8L7KeszRLkmIBlyHifv/3fv9DTfcwH/+53/yUkJRFKLRqGdbbFkWU1NTTExM0N7eTj6fJ5FIEA6HmZqaIp1Ov2rJ5emnn+YrX/kKR44cYXBwkDvvvJM3vvGN3u9d1+XTn/403//+95mammLnzp18+9vfZunSpb/+oC8x/iCSy29DRbxabTHXddm7dy8f/shfYpgm8W1vIbx4s5ApH2wXbZjOI+JGkyX12F1fxF+9hGDjJoL168Vi5zhkzuyV+HiF8KqL8VfUkes8RqG/RQ6zVbFgSGKaY+QIzF+Or2whI3d8BtvIElq8BXDJ957CyYo+esnF78UY7RQL/bEHSDc9BK4j9L8a1pNuepg5D5ncgYcWb6EwOYgz0YuTmyZz+ikyLU+KBbCIunq+Y6Qq3CpDDRuE5M1Ff0qhv4Vx6TipBiMzQ+PiMZ5HOFQ1DfzBWYvHKOkTj5A5tQeA8OrdXk87dfxBsG1BIDXz3g686q2flXDZ42TaD2ANt88swrKyy3UcxhzvJVi/gfCybThGVrbt8sS3Xkto0WamD95B/txBqt/2OexcinzPcQkXF4KZemUDwdpVYoDvghqIFG8M8V38IUKNmzAGWkmfeISSXe8jd/YghcFW8nIWIV9AaPkO8h1HcA0LJyuZ8IiqK7r+MqLrL8Oc6Gfkl5/CX9UouU4FXPvFJfdV3U9s/eWislMUgchbcynRNZfiWgYjt30WOzspRB/HxIbH6G0WCLmpIUq3v4Xw8h0UBtvJND9Oof+MEPJUFCKrd0tYsDtLrVih0HWUwe99AOFfYqFFywUowLHQ41VijjXSxdTTP8FXI6qwfNcJeW1cfJWNwm/GcTzhVte2ZtBZRYUAzU++t5ngwjXo8QqCdWswRzuF0nXRuqH4WkRyLCYdX80yVF9AJJdADApiEO8BUBSF2JY3Ed8kugWRVbuY2vtjMqf3ys8mkaGDbaIq9Icwh9rFfaXq+GuWYo51Cwh1EQFXt06iORUUf4jKqz6BY+UZu+8/wDaIRqMvObG8WOi6TkVFBRUVgv6QzWaZmJhg7969/PVf/zXBYJCamhp+/vOf89rXvtb7u5cTRVWT66+/nmuuueYFv//yl7/Mf/3Xf3HzzTfT2NjIP//zP3P55ZfT0tLyaztJLzX+IJLLb4ticvl1Zk+/LZLJJFu2bCGdTjM2PgGug3/eUvwVDYAgUPoXLBdeJo5NYMEqIRvRcQQ3M4kx1C4Ilft+KRZzV7SeSi/9AJN7bkQNhIms3k1k9W4cs0D6+EOkDt1FqGEDqj9IkTFcGBSGYjjWHO/3+NZrSR25l2zrswRqVxJZdTHuRe/BHOth+pmfYIx2E2zcKBFeMwN0FA1F1Uhc9KeeW2JxvjB99AHITYmWnFynp/ffKhfo4jB+pjUESJ0qiaJyhTKtLZnyxWH08E8/OcNnqV1N0dq3GHq8kpIL3il67UPtqKqKXZxr2RahpduwJgeE1Lu0cXYdR2iJxauwxntQfEFiG15Hvv80Rv9pohuvxMmlpOPkfaSP3ee9X+z8PyG8ZKt471keLUVPlfh5byDbvp/Jx75LoLJBKgo4OI7pLWaukYM5A3oRoUXnE1l5ESAEFKee+RmFnhMEl2xBlwg0YMZl8ddJ7qOQ7z+Dm88ALkM3/gWK5sNfvZjY1mvFXqH4Wtd9wXEU3S/BI4IPVvTv8S9YScmlf87ILR/1XhOoWUqgRuw6+2/8CKoeQNV9Hs/ENXOU7r4ef9Ui8gOnmX7mZ/LCBQgv2ybQZGYeY/isvNcdMqceh1OPyy9rUXrZh5l85L9BVcm2Sg6LdBZ1zQJuIYNVyEg7BFVIKnUeQfGHmH/Dt2YcHqVOHcDgzR/z/IusojRQIUugepHkiOFtdMLLL8BOT0jgjEvq0N3CkmLxZkp2XCfbdkICx5oW1ZgWq8AuZHGNrMcH0uMVMzNX1yGy4QoyTQ/iWmLmBy7+Bauw0mNM7vnRjICm4/DDH/6Qd77zna94AQYIh8OEw2He/va386Y3vYkPfvCDDAwM8OUvf5l3vetd7N69m0cfffRlrX1XXHEFV1xxxYv+znVdvva1r/GpT32KP/mTPwHglltuobq6mrvuumuO9fHLif8zyQWEWujvKolw8OBBLn/dFeRyefALn201XCKdI7+C4guilYqWAWae6PrXEVm9G0VRiK27DDs7RfLgnTPeEUVkVKwac3IARVHnggJ8AfyVYrDqOjZOIStVb2Hsri+IP9L95LqbhHLufEHQKxQ9xuWCJ5wn69HLajFGu1EUBaeQndnRFyHF/pCwoa2oRw2EUQNhCn3NIrEUJUWCUaFyrGokD94xM4w3shT6T5M9e3DGnlgSFx05Lyl6ergF0XJSI6Vkzx4UYpyK6s0IrOlhT8rd+3yukCIpEkjVsoVCEHFqUMiZF+X+XYfpA3eSPnovWryS0t3Xo0fL0EvmMdF/msD8FQTr1uK6DuZYD8kj94phMJA6fDfppofQy+aj+kUl8nxp8RmlapfCSCdYeZzJQbKylz/0478VPBTpIvpiwuR6oprIql0Uek6g6n4cszCD1vOFwMwx/vB/C2HK+nX4KhsoVpjGaCduPk2gdjWRlRdRGGj1KtzCHaJFpeh+oSgMFHqa8ZXOxz9/hQdzdmW1kOs44qn4GoNtjN0hhugv1lRW5H1kpycEF8N1KbnoPQTmL8fKJoW+ljxXeqLSu/9cyxCEVk3HHOshtGSLpwwRXHUJmtQ2m5ENcjGH2hl/oNV77+iG1xFdfQlOPsPofV/FLWRwjTwDN35EkEsdC2uij8DCtfhKa8j1nMQuVitVDaj+MIW+FrLtB2aM6QopCERAVSnd9V5c28IY6yZ9/BHM0S4yJx4lvukqKTpri3motO0OLjqP7KkncV3Xk+R3Hce7NwnHPXiyMdAmSJyhOIWOQxQ6RBcjtGQLuXOHyObyfOxjH+NjH/8baubN4+KLL+IDH/gA559//otchd8tisnqqquu4p/+6Z8YGhqipaXlf4Tz0tnZydDQEK95zWu8f0skEmzdupV9+/b9/yO5/LYTV0wov2ty+frXv87f/8M/ogQilF/+YdRwKaN3fIbE9rcSWLBSENY6jwlROwQjPN9zAlSV8LIdqLqfVNPDFPrPoJcvpGTn27Gmhyn0nSbfd4r00XsBRQ5MHaIbXocer/QG6Nb0MOZIJ4oqdJuyrc+iJarwldSQ720WKsKKJLsV+/nnDqOuuNBD5BQXRis1JnD43mZYQS+dj1vIeB4tSiACrotbyIjFzXUwx/vQYhU42Wmq3vxpXMsk39dCtnUv+c5jmBN9TD76bVBU/POWEKhdJd5vvAcURfa7xyi+ccXrP44WKSHff5pM8xPku47hFrIM/+zv0eKVYnGVEiqubZBr34/iD+MaWfRAENu2Mcf7veOhKAz//B88CQ6nkCbd9ADhZReA9nzHSRV/ZYPwMek8SvlVf4OTTZLrbqLQc9KTf0nu/xWhRedLgl8Yjxcz0Io9NYyvqpFg3VrSLU/hZqcILT6fwmCbSLwHbvMSd773pIAd++buTp1CVvT7JeqoSLp0stOkjtxL6vDdwlq4apH4+Pk04RUXENt0lbQgaCS24XVYmSkmHvkWTnYKa3pYDPQRqMNCfwuomkisDRtwjbwcNGflkHpaSNLIuc70Ez8g+fQtBOavILb1WvzlteC6wt1S8nFAkEIF5NaUsOLzyZ07hIJKvu+03EwI/lRxQ5Vr3+fNvvItT5BvkTbJuEJt2SzMmSWh+TBHe8h2HCZ56G6wTdRARMKRVVwJ84+svpTYhsuxstNkTj9dvLEJ1q6mMHQOUHAyU8Q2vQE9UUnmzDMYg21kT+8VygGRUqzkiLQvFvfI4I/+Sjx/jo0WrwJfECc1RqH7BK5loEbLiKwWkvy2NNrTS+ZhTQ+TK/o1hUqofMMncYwMY/d+VQjD+oJosQqRqBo3EV62HWOwlZHuE/ziF7/gl7/6FdNTU7waMduFct68ecybN+9VOe7zY2hIoPyqq6vn/Ht1dbX3u1cSfxDJ5beFqgpp8d9l7vK3f/u3fPOb/w0KRFdehFY6j6JMi2sZaJESIisvIrLyIkbu/H9Y432El24n13lkZtYB4DoEatdQcsE7hO5VrEIMeIc3MfnEDwDQQnEyp54gc+oJFH/Yszg2h8+hxSoo3fU+9FgF+d6T6NFyyq/8a1zLINOyh+n9t87IgygKqUN3kjp0p/BFb9gkUDOuI1zyNB9ounhQCxlCDRuJbX4j1tQg+a7j5M4dxBztEotn7Sqp54SUTJcVke4j1LCeUMN6Bn7wF4SWbBUeKScfwxg4PcsHXSG0bCdOZmIOc7k4twkuWElwwUqSR+4hdfAuAX2dGvJcGouhl86n7Iq/YuRnf49t5jFOPiqqv+KgfvEW7OwUxkArgbq1AlLc0yzkShSZWKeHcJ3Vnux/8TqqwSjBhWsIL9+B69hMPnULuTNPC/fMswe9hKlI2wB7aojgovNIbLkWRdOF/MeZvZTseh+qP4RjZEk37yHd9ACukWPy0e+AquGvWU6oYb33nTy1AVXDV76QYMMmUgdvp/Kaf0INJYT2Wvt+D70FgiVvTY8QWrxFqEM7DpNP3ihUATR9zj0Q3/YW9JIasi17BIS6r4Xi4hmoWysQWNlpL+kG6zeghuNCM627ScyHZqHh1FCciqs+jmsapE89KaVyXIKLzveG6EUHR8UXRNF00T60TXAdtJJq9HiVlGd5XpgFQEXx+ai89tNCFbznuFedgSIW4pEOwVWR0iygkG3fhznRizHSKd4nXomdGscx8x7aK7blWiJLt4gWqZwbgcLYXV/07iE1Uoqq+2ULzBWdBEUl0LiJfOcxAYCQcz8nMyVeC6ColL32g/grG5h86iYP6KDoPpLH7hdIRlwBW9Z8XgfCdV0xkwzFhF0GvKrOlOl0+o9Q5P/N+F2G+oZh0NTUBFI6InX0PlJNDwpoqqJ4oozFUPUAKColF/8piYveLRR4u5sE9Bco9DUzcsdn8Vc0EFq+QyyiTQ+hhuKU7nofvtIa7OwUhf4z5HpOioEhgOuiqBr5vtOEl24FVfNaaNm2fUzv+xWqP0zpa9+LMd5H6tCdlOz+M8yRDvLdx0kdvY+iGrEaihNavp1sy17JEREPf3FO4iudT3DhakZu/TRqUOx6nHwGXEeQPo0cuY4jBGpXzRAAFRUca06f3kpPMvzjj6OV1qBHEhSKDGoZTj4NsRkukqJooKoE5i0WqJzZ6DpVx7dglcexsMf7xNqg+cB1SOx8h7AEAIZ++ncE69YRXfsaURn0nSLddgCj+xjTz/5cetSsI1i/XhpfMWe3rKgavtJ55IDq6z6PnZmWCfMMTlENQdWwxvvJnHqS8LKdM5/TG+iHiW+6EjeXJH3iYcou/wjZtucoDLZh9J9mVtlIZOUFgsEt37v476ovQHTda4mue60364muvxxrakigBAfbJOTaFfO9urXY0yPY+bRQLGjbh6JqhOrXEapf512TkV99ylvUDNmOKvS3EFm9m+j614nqf9NVWOkJ4bJ47AFAkB7LrvpbVH+Q3NA5ifQSoYViMyAPyyC8ejdG/xmcfFoQSaWsSajxPG+xr7j201gjHRQGBBnRKaQBB9e2PV+Z6PrLcMwCo7f9K3YuJarwYTHvQdNRwyU4hQz+qkaBgnOFRbI1OYidGifb+pysZF1Sh26XyV4oiWvhhGjBltVKOXyF8NKt5LuPo/gCxM67mkK/0EHLHn9ozr0rzMmcmfvGHybXeZTksYewRjuk9XkezBz5tucAl/DyneQ6j+KYefKdQnuu0HWUkeGzok2NixouQXdfKN76cmN25fI/GcWKaHh4eI6i8/DwMBs2bHjFx/+DSC4vpZ/4UiVgkskkx44d83R+at7zNYyRTiHh0SFQQ9P7byXfd0pqea1H8fk9vklx1uGvrCd1+B6i6y5DL6kh13mUQl+LeBikL0Ro8WY0udBq4RL8C1aQPvGI91l8lfXYqQnSR+8V0uKui635GH/4W+Q7DqFGSj0VXNeR4ozhOJGL3g28G8fMM/HItyn0nCSy8sLiycKxbfERrLlJEtlCc12bbPtBDyZtTw+DojHx8DdFq6VmOcHGjd7Qfs4hIgnvPDj57KxKRsTobf+Kr7JByqis98AKmTPPChSSokIwij9ehTHeS+7UE+SaH/OgyUVGv+IPY00OYlUtEirACt5DL8QlN+Ofv4Khm46gxivBtsl1HJnjq5Jt24+i6nMFLwHBm5lJmFPP/ZLM8YcILdlKof/0jNWzImd5mUnZPpsbgQUrPdCFlZ1ieu9PyXccJrh0qyfhAsosWPjc+7g4+wkt3Ya/sgHXNikMtJHrOEy2ZQ96RZ1AGU6PCCXetufEMZ4n66JHS1GDMVwjh2NZYqePkO+xpoYpDLTir1mGqqqo4bggnhZ1vVyXsdv+VSychYwgW5YvpNB/GtdxyHeLKkyJlhM/7w2M9p3CKWTEsFxaLCiK4rUt9WAEvW4twbq1ZNoPkDoofFFwLMYf+ibh1bsILVwjZkWKJhSZC1mPtxJetgNj6CyuVaDi6r9l6ulbyJx5Bi2cwJwQ7VLXMih/w9+hBcPke06QaXkK2yoQWb6DgtwoCIkXRVxDRRVAAtsivHgz4cWbsdITAjxTfK4DEcpe8+fo8UrMsR4KkpxcFDzVKxtQdb/4bKZIbKg6WqREVIC2iRavpGT3DRj9p8m1H8DJJQkt34k50onP+vVUit81iqrI/9PR2NjIvHnzePzxx71kkkwmOXDgAH/xF3/xio//B5FcXkq8lMplYGCAU6dOsWjRIhoaGgAxoCxqNiV2vI3+H34YLEPKZktOhu4H28QY68FXXKiAoo5UZNXFRFZdjGMWGH/wGxj9p1CDUTInHyXT/DhqKI6vYiGF3hZQILBwNYXeUwQXbSa28QrM0W7yXU2kjt6PPT3sDWSdzCRj93wJPV6JTxLuZlsdq76g6KtLLoMx1ishki4uCpnmJyj0nybYeB6h+g2eiZTRdwZcW1gbn/8nGKNdAmbdfRzMPIWB07Kf7lLobWZ6368INmzAX71Y7sIV7EKGzJmnUTQfsfPfQK7rGOZwB8GGjRijXR5ZUAAAXOHzsfh88r3NKIoiYMyWsNYVX8xBjZTg5FIiIbuQaXmSTMseFDkXeX5FWbwOWjCKGoxS6JlbRWWaHydz8lHUUIJg44ZZvh9zH/QidDqx/a2oobhn9Zw8dj8ULEZ++ak5Vs+u+8KFQg+XEF62nXzHYVTdh5WeFCZfo12YE2KHP37/f3iQdX/1opnvLpOOovkILlyNr3Q+2ZY9omIGoSNnm6ihOE4uSb67CT1eKSyW9SJHycF1HAEvty0iqy4WcjfefEZovDm5FJg5AgvXUOg9ha+qESef9iSFwst3YE2J+y939qAnoOqmxxm65WPys7poiWoUTceaHsYY7fYUjscf+RbBxvNwcsJyWw1GcfJp1HCJhwoLNmyi/Iq/xHWEDXa29VlxX6t+tFAMz6KAGQCLnZ0W1ZHrUnr5RwguWA4Ii2o7PUnm9NOi8rBMYR1QtgAcGys1Tr632YM9Tx+4jcCC1Uw9+1OKOnm4LnppDa6RFzypqkb0inqMobMUV5RA9SIpE+QK/b1ABGwLY7RbdBtUjYq3fRZdDxKcvxw1FGd674/RIyUYtolpzTy3ryRc1yWbzb5qPJd0Os3ZszPePp2dnTQ1NVFWVkZdXR0f/ehH+fznP8/SpUs9KPL8+fPncGFebvz/Irk4jsOZM2cYHBxkw4YNVFZWkkiIHbhrFWDWrlQLiR1geNl2MucO46bHxSKoKIze+mnUcEIifjaIFtrzkGC+0hqM/lNUv/PLotXR1SSqmp6TQsdpxU4UzUeh9xSumfcGuP6qRlzb9OYR/upFxDZdRa6riXznUXJnRO82feJRXDNPoG4dWjAqB/ou+Z6TmGO96GULCC5cQ7ZbyPBbk4Okpx4gffQ+KAoaujbhFRcR2/R6FEUhWLtK/Ne4icnHvzcHfuyYeaGZ1fSg540CLm5makaSJVaBompMD3cQ3/xGfBV1OEaeTMuTpI8/jJOdJrLqIrGb71U8zkqxJ5646L1MP30TiR3XMbXnJgLzV1K6671Y08NS0fkYhhyoZ1qf9RBXurQ5tqaHcUc6veonvGoX2ZY9lF/5UVEdnT0glABkYp586iZCi84XkOt45UxBIaHsRatnJ5ckffwhwqt2UehrIX384blWz+cOzbF6LoY1NYwx2CaqgIo6L/k7Rn6Wv0oQTaLnnq/qXPR5cUFUfGYeNJ+HzCv0tXj3U6B2FcH69ThmHtfIgCpN6qQUjWsZFIbPiXtQmqL5F67FXyk+l52Z8tQgirODYvJ0jaxMQs2E174WHIvsqT2g+QkvPl+4Rtq2+H5yhmNNDZE6eLtAIcbKCS1cS6ZlD1qi2hOSzPecYHLPTYLwK4mwWul8nPSkcJhMjgkFh6JDquvMsUiefOjrTGp+ggvXiCQlr6sx3OFZQQTr10t7ZVPYEMtqL3f2oKxuFcIrdpJt2ycUD4bOMTH0LfFZYhU4hYzwKoqUSqdXSyLqRHWV6z4uSLVFkqpjM/z9D6EEwlRf9wVvrlMYbMdOjuIPvRDK/nLj1RSuPHz4MLt37/Z+/vjHBR/tPe95DzfddBOf/OQnyWQyfOADH2BqaooLLriAhx566FWBWP9BJJeX0hb7dRIw+XyepqYmbNtm+/bt3iCsmFxGb/88wUXnEWzYIEQTdT9OdprMmWckmQz8tasxp0dwU2Pidy1Pkzn1JCga+e7j6CXzCNatRwvHpXQ+uJbpJY34ljcxcvtnsaaG0YJRbLkDN8b7cBzHE6xTNJ+ohqQhV1FSxr3oTwU0+q4vzpJ0UfBVLwI9AK6LOdZDsHETia3Xomg+omsuwcmnyZ49KNScwfMgB8ie2Uuu4zD+6kWEl+3ESo6QOnyXgFjqfk81wF/VSNkVf0Wu9TmyZ54RfWW523PyGVKH7yG0bDuObCEV22hFczPVF2Tq6Vs8uDOuNIuKV+KrbBAM5+JMwinuJKV0f6Ka6LrLiK67jP5vX4+vapFAixWTnZRLcQtZtEQVaiCKOdpFsGGDFDcMEN94JfGNVwKQbHqY1L5fYAx3YAy0Mf3MT8UCr8sH5UUqEoDE1mtRL34PjmORa9tH6ugD2MmRWVbPDQQbNnqK0sZgK3piHqWX3IAWipM6+RiZE494A/1c+3NkW5/FGOkCBAR9ppW4zmupmSMd4NjENl1FePlOCiPdTD3+HRIXvAstHCfT8hTGsFQ9kC0qLRTDnBzEV1GHqvtRdD9apMwbRoOwIii25JzMBHr5QuG0mJ3Czk5LfohCaNl2VF+AAqL1FttwhQffFYZxoj2kRctRYxWYQ23UXP/fZFqeZHrvTwjMX+G1Is3BVrRouWDWO9aMurWqUX3dF5h4+BvY0kIC18V1LAZv/LB4JhwHxR+k/PUfRwEm9/xIVJddx0iffFwandmy2pZq3q6LI4f0vooG7OwkoAg4sWOjhqLCbdVx8NcuJbH1WoyhdvJ9pyWpVjiTqv6Q8FtqP+DN8tSgqFpwHfTyhZS+5oPkzx0kdfge3EKG5JG7USTMv6hu/nzE1SuJTCbzqs1cdu3a9QJo/uxQFIXPfvazfPazn/21f/Ny4w8iubyUeDEJmMnJSZqamigvL2f16tVzEBsf+chHGB4e5oEHHuDM6T1kTj4qE4MiHhpVJ3Hxe5l+6keEF28WbS9blPDT+2+DQhpF92FNDTP15I0AghRWXPDsubtRRQ+I4bmRI9vyFABGdxOD3/9z9NL5hJduk+xnB9fJz9nNKoritcVKLnwXvsoG0iceodB7CkfK1Yv++hCZ1mcJL9mG6g9iTPSRPvkYii9AyQXvwi5kSD73C+Lb34ai6eQ7j1HoOy12X4qKEkoQXrJZLCCOg6r5cG0LVdU95BxA/3duILBwldiZ9c1Ij4AQDPRJDoT48GLBtQs58kVrYc1HeMkWLDnzKUr1z0iIvEgFqqoC/XbeVXKR30/m9NOYQ+0owbhQOhhoBekCKg885xCB6kWkELtaO5fGHDzjtSABhn/xjwQWrp1xnHzenkZVhTeK6gsy8dh30ctqcW1LtL7Gema1WcBftch7aBVPwVqInxbPpTF8jtE7Pg+a7h0jdfDOmWTn2MTOu5rICjFP81fUicNoGqHGTYQaNwGCKzT8s79Di1UI6Lmc4c2en6Dpnn0xiuLBiBVfmGDdWjGHcWzpvilaX3q0FDsreUzyu7iOjarp5LuaRKtJUQgv20ZhsF18U1VFi5TJS6951xh/iNDi80kffxitZB6KK1B+ODbDP/97SbSVkjmuJK+aea8CiG+/Dj2cYOqZn3n23rgO08/8xLs+mqygrfQEuXOHRAtQ1QnWrRYSNvk0ii8gyNaaX1oBuLiWiSo5Zcmj93vH0xPVHofGtUyvbVsYbBNJStUJr9qNOd5D6sgMcTcr9c1QNLRYJa6Zf1V2+iD8rAzD+F8Z6P9Px/+Z5DK7Lea6Lj09PbS1tbFs2TLq6upeUP0oisLnP/95Pv/5z+M4Djt37uTYsWPewuSbtwQtEKYorQ3CmyS66mKczCSpo/cRXXspjlkQciG26bndAYzd+cUXVESuZYi2gqKQ2P421ECYfJ8QREzu/9Wcz2enxkgff5hgwwb0RLWsbgQCzF9ZT9ml7wdgYs9N5E4/Jfr93SdnYNKaH6w8aqSEsks/gB6rwMmnSQJaOEF42XaBvDJypI7eT/rY/YQXn4eq+8UAVMqnv8AlUZw8/DXLiJ/3BhyzINBHJx7BHGhl6qmbmX725wTq1hKs3yARM6JSwrFA83nEv3yfGAonn7oJFIWpPT8C1yXXvo/R5KjYyddvkNBtxWvXiEX+AsJLtjDw/T9Hj5aI6y7bI8VdevrkY0JWZ8FKOUAW94Ax2o2THkeLlhNavJlM23O4uaTUkWsm3yEZ39Ip0pzox1+z7AX3UGD+SkoueAeOkSPfc5LkkXuwJ/rRouVk254l2ya00BR5HOX52UrmvmDdekovuYF8z0myZ56ZU2WkjtxH+uTj+CvrCTQWSXhzj6PHysUiv2Qrsc1/ItCMPSfIdwonUBSVyPKdgiwJ5HuasacFT0GPV4jv5ToCSBGIEF13GanDd+EUsuQ6BInQyUyKgbrjSFUGkQgUVcN1XY9gCHhCrOZEn0ek1CsbvfPvr2ggsfUaUSUNtpE69qBHwsWx0BPziG95kzcLNEe7mX7qR0zLitlX2SD8hPIpFFX3uDfCQ+cA2KYAq6gais8vtOrk7Ci8bAeZ00/jFLIeZNwYOM3wrf8KjiSIls7HmhzAtQoUhs4CCqHlOzCHzuFkJjEG26VEUYHk3lvEmqH5CMxbTKGvhbLX/w3Tz/0ce2qI8NItpJuffNneLc+PdFqcpz/6ufwvRrEtZts2p06dYnx8nPPPP/8lub+pqsrmzZs5duwY8a3Xku85iTHYxoQUj0wdf1hYwy7dhioZ50XfluLNDEKV19UDmP2nsDMTZJqfEBWRHhALo+sKVMolN3gCmIEFK3E2v5GJh74xxzrYNfJMP/dLpp/7BVq8SqCSityC2d87IHq5ie1vo2TX9ZjjvQIccFjApJ3MFOMP/he+ijqCSzaLY8+qDFR/CH9lvfjBcbCy097wE9fByEwyetcXvUG0r2SeTDqy/eULEGrYgKIHGO8/TXTDFWJR6D01RxEaxya0bCeF3pO4lkm6+QkhKBmM4ubT+OctRYuUkOs6AVZeSOpIbxUtWg642JkJAa8uapfNqlAKg+0epDkj24D5rmMiUag6gQUrPH6RkxrDV1lP6cXvFSgw15XQ4g+hR8sxxvtIn3hEcmEUxu4W4qFFnxrn+VB1f4jwki0oqkDcVb3lX3GMrLR6PuYli9G7vkCwYZO0el42gyJTFO8Y4SVbMKeGGfn531Oy+3pcyxB20f1nvGoj33EYLRQnsGDFjI2BlIgpEkn9lQ0C3XX3lzBHu1ADYU/s0Z4ewldRJ6otqXZclIyJbX2z5JooctBugT8owRGPed/ZX7MMOz0hZHe6TwgFC0Vl4rHvep/JHO7wFmrd5/d8cxy5WdPCCYzBtpnEIs+FlZ3CGO0muno30dW7sQtZxh/4TzGzUTUCtavInTuEW8iJc6j5hLOlZXpCsv6Fq7FGewRfrPU5URmF4vJ6O7hmDi1eRellH8EcOE2u4xDG0FmBqguERdut85gHLtBCcQqShBto2EDFFYKLlus4wuTj38NfWed9b39lPYHqxWSTo2JeY+bo7+/n1Yiinfsfk8urFC915pLP59m/fz+aprF9+/bfqRSNx8VQNrziQmIbryTXfUJAc10HN59h6okfMLXnR+iJKtRQQgwZi4xdILLmUqLrXivkXhxb7LaaHsQe654DCXYLaSYe/x7+ynrCy3biK6tl7MGv42SnPGZ19Tu/QqGvmUz7AcyBVuzkiDfoTx2+B3O8V5hALVzjeYm7toUqJfj9FXVkTz+NGowSWXOJUBnoO+X1f/Mdh9GipQRqlov2lZSyNycGhN6XPyzmFq3PgObDmhoi+dwvST73C7RYpUysU3MN0aQyQqB2FYntbwXETGlq708wB1sJrbgAPRSjgOIJVSqByAw7feNVKKpKfMu1WJP95DqbyEoQg50eB0Ul2/IU2dbnCC5cIyrChavF554aFvMkzSf0yVbsFC3DoiyIY0m5/ObiDYVrW+S6mggtniXJIdd6f3ktZbuvZzoUI33sAWLnvYF8z3HhdVNkiksU3NyY+Xm21XO28xiTD/0XTiEryLQnH5VD7AW8oPcGnrR7EREWXSMq5HzPSSYf+W/yvc0CEKHqBGpXCnAJriceOidkBepaBoZMvvq8ZQSqGzDHerDT40L1V4Irkk/fTLEt5toWlW/5LP7yBTj5NOlTT5I6eAdKKE6gZqn0ly9gTfQJyK9rC48U2eb0164mseVNjN7xecyJfo9sW+g6xrAUb3WNHL7KBqzJAVSpFOEWMqRPPIKeqMJXs5TJx77rJRZF84tnUqIig40bMUa6cAtZsm2S/6L7CVQ2YI50imdP1UBR0DSfJGSKhFTxts+h634ClQvxVTUwdtcXUcOJGXMwBMnXmh6m0Nss7idFo+KKv5b3vF/K+CCeE6lTpgSkO6vriM2n67Jy5coXXpuXEUUvl1eTlPn7ij+I5AIiwfymwZNhGIyMjFBbW8uKFStesqtbMYo9TNcySB17kOSB2yQJ8r3C93y0i0JfC7lZuzQPMqnp2Klx0T4pXyiJkaewx7pn/k7R0OIVxDa8TnJiTs9wBVxX8kpc8l1NKL4AkVW7iKzahWMWGLzxw2Ldcm1ht9p+kFzbPjknkezy1LjA3BdDKhoX+/uuZVDoP834A1/zHCgV3S+MxKTIojHYhl5aQ+mu94ld5dBZUFWqr/t/WNkkmZOPiTaJ65I9/TS5swcI1K0j1LARNSwRU7OqIn95LbG1lzIx2IqqakJvS+7+UFQBmNB0nHwGc1KeO0VwE4SToU5i25txHZvkgTsk+9yRpl7HZr6rbeArr0PxBzGG2rEmB3Cy06jhEvCFcKYH58xfArWrMEY6SR2+i9SRe8TCCjOf7XkRWXsp8S1vAoR18vTeH2NNj5A5+RjGYLts363/tfdn8V4MNp6HnU9jdDeJ1o10SjSGz5E69qBEwM2fdZyZe1j1BQjWrQFAK5mPL1HpyccLV0eVzKk9uEaeYP06/NVLJDBEtLsyrc95i2Zo/lJvpufk0/irF1NyyfvBNph65mezACOL8ZeLClsNRomfdzWpQ3ehBcK4tum1mtADYBXw1yzDtUzP3sEYOMPovV8Vlyg5in/eUmJb34wx2Ebq8F2iDReKE6hdJWyXU+MzGzHHEoCJ4jVbuAZzvA/XKoh5Sj4NiiashYc7hI+KbYCmCTZ+esKDUUdWXiRaYfkUhT4p1W+bDP/gQ6jBCJXXftqDqTv5tJBdAiKrd2EMnQPH8aouRdNJHX+YYN1a9JIa7zyaY72eFt7gDz4kv4PtccteSgflpUQxufxPaIn9b8cfTHL5deG6Lh0dHQwPD5NIJFi1atXLOk5Hh+gND//yn4UWlOYjvu0tngpwoHoxWijuES2LInWqP4ReukDIt3c3gR4QD3Uhg15agxYto9B7CiUQQlGUOUmj0HeKiYe+gV4mGPRFr3HXyIJUgFV9ARQ9QLBhAyW730eu/QDpk09gjXaIHVx2ClAYvfPzArXWuIlgwwaxk5xtcywNzVBUYluvRY+Vk2l5yoNEiz9SUPxhjPFeAsGYcFSU/XM9HCex9RoSW69h4CefwM2nxcyo89iMpwWQ62pCi1UIcyVF8ZBgdj5FoadZDPR9QTALKLoPX0W9kCTpOga6Hy1Sgp0cQ/GHKH/tn+MrqwUgeegu4TWz7S0AmJMDpI8/Svb0HtRwgmD9WtEfd8Ec7sRXUUfprveiBiLYuRSFgTNk2p7DnugX17WsFnO0k3z3cdGiswqM/PKfhUBlkQD6IlVFsHYVhfoNpI8/RGLHdeQ6DguFh0N3eUZyk0/+UFyHunVe4gawJvqkzhViY+AL4RoZVF+Q5MHbSe7/FWqkFL+UrzeG2vCVzZ8hZHoaaojjOEI9GM0PtoGTmRRw6aYHUXwBAgvXYqcnxALo2IRX7RbijI4jnRIBX4iSi96NqqpMH7pfJBapdmwnRykMtBKYv3zmBLiO4Fq07fcWb6wCevlC4tvfhh6K4Rg5jKGz5PpOeQKialktZZe+X4Bizuz1NiGeerTr4NomgYWrMYaELJKVHJW6XaJ1a471iFmLkUcNl4gEV8h6rbDQ4s3ke5txLFPIIblAKIHiD4njWza+ykZKdl1Poec4yQO34+SSjD/yLcKyZWwUEWeA4gvIWZIrKzMH1yp4VbwaKcFXLkAWbj4lNPLMnLyHpT7ayovJND/+qvFSXk0Y8u87/qCTi2VZnDhxglQqRX19Pdls9re/6EXi05/+NDff8mNPQBEUsXN64vsoegBf+QLU0vnkW59D8QUofc0HCFQvxhztxnVdKt/49ziFDPmek+Q6joi2U7yKYMNGzyXPLeRwZ9n8qr6AQPtIdJFtSyilojL8i0/hq1pEYtubBYtcUQWJTtXRY5VYk32g+UhsvVYwibuOEVq6DWO4Yw4Xww3GyJ07TGDh6lmSLgqK6xBestWTop86cDuZo/fhr16MMdrF9PBZseNyxY51zpwD0HQ/jubDV1GH3X2CYhsFFLKnnyLbsgctWkawcZPnZ58/dwQ0DXQfwYVrsLNJ7OkhKt/0j4L30tssOEFSfsQ180zt/SmBhWsIr7hAvMesysBXOp/SXe8he/opoaXmOIL8pwgGe7BhA2iiZaiFYgQbN5I+8ah4seugqCr+6sX4qxeDL0hq/60EGtZjDneSPHA7yf23ee3CQv8ZOVea7bEiWqjR9Zfj2haFwXamnvkx9uSgtLxuAkCvqEOPCUVhc7RLECHNPKo/TGzjlUw/+zPKrvgr9GgZ+b7TQjC0S0CLkwduJ3ngDk+R2T9PSvAUvUWkzlfNe76GMXSOfM9x0m37ITOBaxbEwFpW1+Vv/Ees4XOgCH6OZ2Jn5hi57TOierMM9PJaVD2AMdIhXFjv/jdpkjefkLxfhKKDqNgVVbRVrfFexu76IvPe/gUxx5u3hOShu7xz5Uz0MfyrT3sLdKB2tQQbKOJzOrYQ86xswBhsx5oYAEUg/xTdj2MZOHITVHLxe0gffxg7k59x0fQHBWdJ6pOpwRiOZaDpPvFcSQBC4sJ34eaSJA/fTbGNaY2cIzlyTj4fGr7KOmEE1tk0a/4oZ4yVi6h6/UfJND9BrvOI1EcDLTEPLRTFGO7wEoviD3sghler0iiy8/9YubyK8fy2WDqd5ujRo4TDYbZv387IyAipVOo3HOGFYVkWV1xxBXv37iVQu5rEjrcx+dTNWJMDzHvXV8h3nyDXdUwopkpJDcUXwhztxle6AEXzeSgZNRAhvHQboUXnM/C9w6LiUBSsomOea+Pk02TOPEOwft0M8U7VsU2D7MnHwLEI1q/HSo1jDrUJCX5JTnPMPNOH7yZ96G6UcJyy3TeI4bqqke86RnTta/G/ZhGOZZFtfZrpg3fiFDJMPPLfM+KKjRsRiLO5CDBfXCx+JRe9Gz0xTyyO3ceFK2R2isEffkSgvxo2EKxfB6omB9bH0UtEG821LcHy7zmONdqNnZ4g0/yk91DiC1Jx1ceYeODr3uLuyblIl8Xw0m0MDrQKwcm6teQ6j4pkdfppUDXMyQGs5Ah6vGr2jYHr2GTP7JXAgCWY432kDt9N6si9qJESAjXLyfWchOLg+PmS+3KnWrLz7ejxKpx8lnTzY4KwamSZfPTbTKo6gdrVhBrWi5bM7NdrOsHalYTq1pOeHGTeu/8dOztN+vgjArUlNbjUaBmRZdtJn3xMLjpFqLKoLIuCodmOI0w+/E1KLnoPhaF2gSY8eMcMD8d1CDZswprsxylkUVSNwPxlKLpPQs+DRFZfgjHSIVs8LuN3fVFA7aXfSxGWHF5zKXq0jNSRe8EfIli3zlPjrnrzp4V7aP9p8n0tJPfNIBpDizd79sS2JEfi2Az/6l/QS2owpwbAMjzgQHTT1RjDZzH6T+OrXoyvbAGFvlOYEwMeukwLJ3BtUwJOHEKLhSaYiyNIsJYJviDmRJ8gYEpyKYEYqqpiTgxIGoFG5du/wPAtH8fOTM0kUsdi7I7PyxOueUoZvpplmHIeGV61C2usS6wPU4OCrByKk+04DGYeZ6IXLRTznFZznceYeOi/CMxf5jH4tXilpytWJGyuW7eOoaEhysrK8PvnblJ+l/j/i8Ux/AEll9kxNDTEyZMnqa+vZ+nSpSiK8rLcKBsaGhkbGxXQx63XovqCqP6QwLQHIoSXbSe8bDuubTHwvQ/gq6zDzk4JlrXUCFN8Aex8Gq3YupDyKK5jkz13BDs5LNBiltA2mnryh4AgaIUaNwnCWGYCUOYYhBVbOekTj+Jkpyj0nBT2rLi4+TRTT90s5iVFlrdMGKquE119Cdb0KJnjD+GfvwJrekQoGvefBlUlc/ppXMcmVL8BX3XjzMzBsVF0nxSAXIcx0Yc50om/ZgmFvlMeuawYekkNZa/9Cw9arK+4gNCi8xl74D9xMpPoVY1YxfaNmWPike8IpFVxyOw4LzB4UxRBBExsfyuJ7W/FSo6Q7z7B9DM/o9B9guHu42iJ6hmVBNfFloPU+NY3E16yBVf2yAv9p8l1HfO8RnzVSzCHzzJ2z5c9gmqwbu1M90vmHDUYJn7+G3Bti/TReynZfQO5c/8fe+8dJtdZ331/Tpk+2/tqu6RV71223G2wcaUaTC8mBVJ4EgIkQAiQPAmE0AIOxRhj496b3CSry6qrrl1t0/Y2uzu9nfL+cd9zZtcGjImdx8mb+7q4kKXdM2dOuX/tWw6SGTlHuu+Yc67Rw0/gbVmDu7JFBMsZS1RWHwUg3nWI6ef+HW/dEudzbMvEkqRfMz4l5FRyWa4MIq7yBgJLLgHAyiSItj1L7PDjaCW1uEprhKyM/J1EbxtTz/47qsdP6eWfEt45Sy7BNrNkRrsdOXoAb9MKtEAJ2bFutGApBauuIXF2F1Y6PkPt2EZ1eQV4on4p7u5DhPc9ANhoRdXohRWkbAsrOiHg5f4irHRSbNh9JwSwYt4GIYEz0Udg0RZ8LasZf/BrUhBTJjiWgbt2AZmhdmxLtNuwLPAE0AvLRaWTjOaDcTYlCMySgFn53q8z8eg/imQnN4ezTEZ/8efkXGz04hqM6WH8Cy9EC5YRPfQY7pp5jtNodrjDoQoouo4RmwQbAchYfhWxMzulujNgZhn8ya1owVIqbvySM3Mx49MSrWjja1lD/PRO0QVRVH74wx9w4YUX0t/fz+nTpykoKKCsrIyysjIKCwtfVxXyv22xN2lZlsW5c+fo7+9n+fLls1ivv42h/7vWVDgiyIfhEcYf/rrwO1FdAu9uWw7jWiCqVHxz1xFceTXG5ADJ3qNEjwjp9ZFf/BnuamF17GtaCYoq5LdtW1ZEN2Nnk6QHzpDoOYwx0Ud2tEsQ2uTOpvoKMNMJLCODqguNpcxwu5Bcd5YiWjk1rSKrP/2S8y+pvmPoheWORHquheNfsJnAwi2YiTDJ7kOE99wr0DhtzxA78iSKJyB0mOBVMiSq5kLRXJRf99cAEqL7LMn2vWBbGNPDjD34NWFN27gSd+0Cpl74CbaRdgKlbVlkQ/3CdKzrAFgGqb4T4mXOphi583MyUKzAM2eRGPTPYMrnUFeRlx/E27RKwJV7jjgs/VxLzlUpW1wgWl6VTdhGmvjZHLpLxTtnAYqqkhnuINl10PF6VyQYwYiOoxVWvOpl9zYsI7DwQvEzkXEmtv4AM9QvzuHYVhS3H2/TCkee5ZWzGjWnQKAoUosqDUZaqFqjMPH4v6AVlDtQZwduPuM8VLef4NLLRXBx+4VpVzqOlU4Q3nvfrGQnNdiOX8rMK5oL2zJnydG7SucIRWxwXEJtS7TPMmM9MgNXmNr5K/ytm8lODRI78hSqNyB0wjw+rFTM0XoLLLiA9FA7tmlQ9rbPEJFVo15QJioTAN0FSdP5rKSc02lFlbgrm8kMtQvujaIAipjdpGL5a6HmbAfsvLOpZTL1/I/FzEX6s5Re/VlhvbzjDhFbXH489UswpodR/SV4m1cLPx2X27lfSrACd1G5qNC6Djkow/jZXSTPH8OMjKMVlGHGJtGKqjCnhf7f+OP/jH+umNWk+46L2ZclxF5zwIRf/vIOR4erpaWFTCZDKBQiFAoxMCAq2tLSUifYvFZV87/B5U1Y6XSatrY2UqkUGzdufFVp+IdULm63C6V+PcFV10hOxGHH4nT8oa/ja1mDt2mVtPwVcE5FUXCV1eMqq0f1BIU4XWktmYk+ycu4zzm+q6KZogs+IGxkXR78rZtQPH7Ce+8Vs5zKuWSGTqMVlGGnk3lmtU94e1upqCCMmVmMqWHhJOkvymf14VFip3cRP/a0IE8efRq9tA5f8+q8XpSZbzkEl15OrG0r3qaVFG58H4mzO0i07yE7Ir7zxOP/gmfOQsHFaFoxy/MDchDdTzDUcxRP7QICiy8hdb6NZPcRITFz/DmwLVyVLbjKxCBeUVUxjA31SRtfZN9dnJeVmCZ+ZgfxU9tEBWWZohqMT89Gv6Gguv0UbXofRZveJ1j67fuY3vELFJef7FgXE4//s3DvLG8URMZze1HcfjRvECM6ISRLZtjWyj9gJ8KAQuiJb6MGSpxgN/O755ZeWIGvbgmxUD9VH/oOqd4jJNr3kOo+4mwooaf+DW+LOIZeXEOuJMqMdjm2vVpFC4qVFbMF28SMTjhCm7mV6j+BFiiZcR1yLHmDRMdep/USO/G8IBeWCxHH2NEnibU9jeoNohdVkhnpRPEG0YOlZEP92GZWmN4B6REpDW+bQu144DRqoBS1oFzCtwUSTQ2W4GtcQfzUduxMKs8d8QaFHMoMsUlx3RSsTIr0cDugEGvfj7dCDL/Tg2fyz2WwNA8MAEqv/nMmn/5unp+S62BK5JXqDYKiYsl2c1YiMhW3j+LLb0WxTML77nPunauoYsbxbdFaA8zIhMMr8zctlUFQuHIWrLsJLVgqiahHQHfjm7uOWNtWWSWLkzKnhhw+mRoowVXZTLrvuFA5sCwWLVr0KoFHt9tNTU0NNTU12LZNJBJxAs2ZM2dmVTUFBQWvQr3+b1vsTVhnzpxB13U2bdr0G90mf5P8y2stl66TNTK4iqtxrbyagpVXE2vfS3jbT8lODZM98DCRlx8SJD7bFsgbaQcMOIq07tqFmPF92IaUHlEUAV8c72Hsga+g+Yul0VWaZOd+9KIqAfcNlDB635fxNiyn6IL3O+rIya4DGNMjuKvn46ltJZUzYVJnWybrRVUUrHo78ban0ErrhPTF5OAMnxdFbKozzhlVE5wYXSe49HKCSy8nPdTBxGP/hKusgcyYIECGd/3K8RXJjHXjqmhyKrlcdumV0upFF34QY3KAsfu/guotIDvWzcST/4ri8uIqqwdVIzN0VlRVqoYZn8a/6GISJ18E6VsCOGRUY2qIkTv/Eld5owPzBWZVNEKSZgvTO+6gYO31+OeuI9V3nGSPJC1aZ1G8QQKteRn2mRbA/oVbSHTsw1Vai7d5DYmuQ5iT/VjxKeKnthM/+aLzWcnOl4V9QmA2nFS0IAXRDyB8+AliBx4mE+ojM9YlCaCl6EWCvGlMDuJpWC6EIBuWUrj+JizLIt1/gvip7aTPH88fXFGJHniE6IG8MVyOU5EdFz4lekktZiyEZ+FFpE48R2DxJfgXXzyLoZ8Z6QTdTaB1MxkJEU507BfSKECm7xjDv/isuA+2jadhGeXvEOKFViZJrO0ZooefEN4x8v4b08Mi8VBVVM2NmYxixCZFS83K2zQk2vfI6sYmvv8+4rngY2Zx1y0hM3BKqFZIyRmttC5vAxGbnM0lys0epZ+Kt3EFvubVUhr/NFZimtAj33Aun7dpJaneNmwzQ0LOPTITfU5QM6aGxPNtGdi24gBvii76kHM/AwsvZOTXfyOC04x5l7umVcD2y5vkfEZB8RWSnegH08C24oDN/Pnz+V1LURSKioooKipyqprJyUlCoRDHjx/Htm2nqiktLcXj8byhisj/r9dbJrgsXboURVF+a3/yD6lcXC6dzCs8T3TpV+JrXo1lGqR7DudJfGd3CSXcplViOC7L88TpHWDbFG16L96m1Yze/2UCyy8X0MjeoyS7D8sWlpSIL6jATMXz5mRGdpY6sqd+KROP/iOqhGlaRkbMZrIZjMgYmZEuXFXNKFLkEgSXQnAacq1BEQBiR58mfnKbGMY3rRTn/IqBfq6FVrjuRryNyzEiQnomfnYXmFnGH/q6GLLn5hwwK6vPVXMoCgVrrsM3b33eIrr/pPC6KKrG17JKOEjaFolT2wDbQegFV16Nu2ouU9t/juorFDbT548RPfS4gPkqKtmxbpK9bXk5l9yyLLRgqQPzNhMRRn7553lLaSlvYoZHHcVkb9NKUv0nUb0FFK69nsK115ONjDPxyDcFYW+Gv0x4zz2E99yDXlaPr2lVHqTxiuWWCgCBhRdgRKZI9wm0UW7g7W1ZS+lVf8LQT251Wl6qquJrXIGvcQWDP7mVwMIteOYsJHX+GInuw5BNYYQGiE4O5Tc4RaH8+s8TOfiomEnlAqGivoqhP/Krv8K2DHEdcmKVqSjumvnODEYNFGPFpwHbCSwglAdE5QUompB9Ef9CYPElwnrYSIthu2ViYzP8i8+guv0gfVdc5fVi5rLsSofh72pYiu4vIYNg8aNquKrnYkwOEd51l/NdAosuIn5qO3rpHFSXRwh9ZpOgqGQm+vAvuoTCdTdSsPYGMmPdTL34U4QzZrVUdUAEDVVDL68nO9xOJmej4Q3iLm8kM3BKsP1TMVDVPClSLsF/UUh0ijaeEih2kgxjolegKi1TJC0SzeZtXkOq+9Drbl+53W7Htti2baLRKKFQiMHBQR5//HFuu+02GhsbKSsrwzCM12Xp/vusv//7v+drX/varL9bsGABZ8+efUM/J7feMsHF5XL9zuCRCy6vHBD/rhWNRMhMnmDiqX8TrZAZcNNsqE+0LBy/EdHmUnRdSODLITEAlkHh+nfiaxFsb0VVwTTwVM/DUz2Poo3vYXrPr4kffx5XeSPpgZOk+0+IQb9lYmcSs84779FhkOw5ijk9ImYR2SRmJM34I98Qm33TKsePPhsaBNtEDZZhxUKCh9P5MuXv/DKJ9t2iIpLGR4n2cbKTA6/6zg6npbCc4i234CqrY3rHHbjnLCQ7OUTi7B6HoZ6ZOE/81Ha8jSuFk6A4c2zLRPMXEVi4hcDCLWTGexl/8GvoxZVSvcCSw1iX/E4pird80PkeqjeI6vJQcvFHxCXIpoifeonI/gfJTg4y+cz3HGa6r0mg33KD29xyrp9UbjamhsGGwo3vxdu8WgT6HGJM/r+RiDDx8DewklEKN74HX9MqMmM9pIfOkOhtg1QMI9RPdHLQ2eSnd/8aX/MqPHUzoN5ANjSQN1Fz+QShNR0n1X2I0bs/L+ZOPUcJLL0CzTc7C1WkEZpv7jqCa65j/IG/F5VmsAwrIkU2bWGBbGZTstrLCWO++rm3ZbvKTEaluCb45q9H0VwiuLi8WDm4LTD24D9QsOZ6fM0rnc8CMCKjpPsEN0arbkF1e8X1TcdRXF7K3/t1MkNnSXZItWfbwr/gQkdyJn5SIuRsG1eg1OGmgELl+76Jq1jMTzOhAcbv/zJaWZ2jMK4X11C86b1Y2RTpoQ7Ce+/Bik8xtfMOSi/9JIqmMfXSL5zvoHr8M7TOFKpu/qYAOADRY88T2ftr/M2rnSrJTsXIVdATD/0DqBpaoBTfwi1OpZS7xq6CckcsVimoRPcFRWsuNxvSPULrjf+ctbGiKBQWFlJYWEhzczNNTU2oqsrdd9/N/v37KS8v58orr+S6667jwx/+8B/8Oa9cS5Ys4YUX8jI/b3QAm7neMsHltQJG7iKYpvl7X5Cqqir6h0bJjHaJgdwO0CQs15gcRPUG0UpqyQ6fQ3F70YsqKb3yjwBID3UwteMXYuMHIgceJnLkSVylc7At+1WqyJpfbMClb/tTVLdPcGJ6jpDqPkSy6yDp4XPOjCdHmksNnAIji2/+JgpXv4PM+HmS/SdJ9RwRcvodewQhDRzIr7t6LqnOkMMMdpc34Kn6MFz0YYxoiPHH/y9WZILs9DDZg48SOfAwirQ9NiYHsRuW5TktspWmFZQJpjK2owVmxaeZ3nkncKdo2zSvmXUezn2TXBFsm/RYb16F2MprpIX3P0ji3MuSR6HM1j5zeYWqQfchsqFBfM2rSZ4/TrrvZJ6ZfnI7djYjtM8qm5z2jZWKEW/fLXXQbCL77yciZXRiUmzUTEZIj/YI2LdlzLJWzrlVehtWMvnCbSiahlpYjRkSzPpk1yHhDqmouGsXOPDyzPA5wbPIJHFXNFFxw+cxk1Eix54lIQfv2VAfI7/8M1B1XBWNFK67SVzfnLjmaDfjj/0ziqpSeuWncZc3inOVGmPpoXanssqJlEYOPCysFxpX5I3EbAvbyDrVBYBeUI4ZE1VIwZrrSfcdJzN0FjVQQna8l8mt3wNVQ/UWOHps6b6TwmwsNomme8hOjzhVcuUH/hndX4i7pJrgkkuY2vFLEu170PyFGOFRQJGGeQ2k+05gxqfzUjwoRA8+gn/J5Xhr5wuzMEDT3I4lQSbUj2WJ7xo9+pTzPexEmNBT/5p70PC1rCbZdQg7nSA5dsh5hqZ23Il/4QUEWjej+XNqwraUwxGAEHdNK4XrbhJ7weAZ0sMdxA4+7ByjcNN7iOy7HyM25cx7/I1LhaW0bYkETeoOpqQG3OTkbPO6/8wqLy/nU5/6FLt27eKd73wnV111FVu3buXgwYNvaHDRdd2xN36z11smuLzWymUJrye4FBYWosdMqm7+JtmpYWLHtpLsFX4lireQwKIL5QNoo6j6LI0wT20rwWVXEt71K8pv+lvMaEiAAqS0R7L7MIrmFhpYcxaiuAWZ0DYyqIUVDsx58PbPorq9qG4v8dM7ZK9fBlIjS2DJZRSsfLv4TLnZJUrriBx4CNUdECZSjo+9ImXnIScdIgiQ4nroBWW4SuaQSUQJLL6YeOch7PikkK1QVCIHHiZ65Ek8DcvwNa1ymPvJ9v0oLjcll30Kd2UTRnSC9MBpEr1HMScH820bIHr0GYzION7GlXjrFjsBKjN+HjsZwVXZTMGKq4kcehRjaojiSz4mZEz6TjhuhqqvkFTfiVlOi0IWBrHhGGnc1fMxEmGs6ITwlTnyFNHDj6N4goKLg1CWRtOlPtSImPNIhF2mX8yxrFSMiYfzXhXhvfcQOfw4nup5+BdeiBkLE977a1RPUEJ8KwkffIxkxx5qPvIdMhN9wvFz6CwZCVhQgqX45m0QbaBcUaG7SEt74YJV78BdM5/04FlSA6fIjnQSeuJbYjY11kv83AGmX7gNsAmuvhF3uRAW1XyF+OetF6oPQ+2oHj/exhUk+05iGymwbQGOOPkiaC68dYuxM0nplJi/DlYmJVxHUYif3oUVGcY3dx2F69+FnU2RHu5wzi0jxVv18kaKL/koEw9+DTM6QSaXJBRWOeKpzpKbvxEec1Bq/vkbZaARyCrF7cPXegHZ0U6SnS+T7HyZ4stvxVPTKn931Kk+rPAoY/f9HbnqImdg5qlfRnrgJNi2IH/mkqTpEXIW1VpxNZnB02QGTwv5e1lhJDoPSnixBFuMdBE5+Cill33CEQ8NPfNdB5yQkkZrViyUn9VIc7ScgVji3H6sdMw57/Xr1/NGr0QiQWFhIevWrWPdunVv+PHPnTtHbW0tXq+XTZs28U//9E80NDS84Z8D/42Ci6qqKIryuuYufr8fOysqD5fU1CqM3cjIrz6Hq0gQ9XLe3lY6RjY0MIvx7kipazr++Rvwz9+AbRqM3vt3mJFRBwWlaG40WfbnJOhzS9NdaIUVVFz/eSzLItVzmMiRpzElkSt+ahuJjn24K5vxL7iAVP8JkudeRi+ro+Tij6L5CmRGe4bk+eNk5Qada4GN3vMlfC1iVuKZs1AEScvMe9oDWlkDZqgP38ILsWKTr1Y0ti0KVrwdXfqJ6AXl6IsuIjN+HlPK0aN7yQycBEUh0b5XzKFUXdr5gp2M4G1ZS9H6d6JoOq6yeoypIfytm4T2mZklPdROaOsPsVIxQk99R2yQ9UvxNq8S/JhsCjObkiKhV6EoCiP3fIngqrcTXHm1ELY8t8+BuaJqBJZcRlYiAJMde0HVKNnyEVRvkJS0drYko7r0bX+KERkXs6LzxxyWPQhIt1pQ6tzv3PLOWYR3jhAljJ3eKfx/mlY5KB/bNDDjYUbv/RJ2JknR5psdHxZXSS3BpZdhTI8y8cz3ZghsSgAHCtGDjxI98hR6YQXexpUoHj/RAw+jBYopvfzTaMESgksvZ+yhf6Bo8814520g3XuU+OmXSA93SD8UhcDSS8Vw37ZnDdqtyDB6aR0Fa65HUVXRlmtaiadhKcbWEQdRZUz0CQIsgqGvuH1i0B0ZFSTb+iWOD45tmSDhxoLjlUHRdOfZV3yFVFz7V6huL1M7R5xrOf3iTxytPCsVRQ2UYMWn8LVuRtFdJE7vEIoHxVWk+0/mHTBtwzH1yt13b9NqUt0HZ71voUf/0eF0YWTQCsox45PoBeXCrnm4nfDLD+GZs4jp3Xc7bUbFG3T0xnB5cVe2kBk8LQ3E0iIZdfsE18wWJEozMu4YEr6R682EIm/YsIE77riDBQsWMDw8zNe+9jW2bNnCyZMn3xT/mLdMcPl95ii6rr8urotlWViZBGZsypkbKK78/CHZc1RAgKUPuBmbdBjvnjmL0ArKxc/ONPbSdAEJTUzhW3wpqY692KkoRqgfgInH/gl39Xw571gFmu78vqqq+Oeuw1VWz9g9X6Roy4dQVJVk9xHSg6eF1ITU6/I1rUJxiYxR8xXirmwhOsPoyGF/u73Ez+wkflIEOcXlBtvEziTxNq8m1XMYFRsToZ8WuPQTAGQm+ph8/jbM6WFQVSIHHyFy5An0wio8jStIdh/CioxJFel3oKgqI/f+LcHFlxBcd5NAQJ3cJl0NxUr3nWAqPolv7gandWVbFoqG9I9fil5cjZWOU7zpfWKDnClSqaioPtGqcWZUCoLwp7sJLr+S4PIrJen1U2hF1QIGLj4IW1Eou+pPHLsDV1k9BcuvYvKlO8gMnkYvqsbXspaClVdjpeNM7fglqa6DKLpb8IKOP4fmLxZaVb9hqe68CndmvFd4/IycY+TXnxdW2UDk4GMku4/gm7cBT/0SrGiIiWd/kG9xzUDEVbz7K5jxaaG91nOUWNvTzs/oJXOwsik0+Rw710dV8bWscci4gz/9YxSPX/j02MKQyzYyeOYsFJBg3S2Qfg98FdVbgKd2Ab75G5nefTdWLITqL8ZKTOOes4jMYM5nRqH6Yz8k9NyPyPS0ofoLHXsB8UC6AEtwd+auJX78BTLj5x0AgW3ZRA4/TjY8hhnqE5t8dAJ33VKRoAB4C/A1rSR+ajuu0jp889aTOL0D1eUVysfy+/paVpPsPIAZDzsBwF27CEWTz1cyjFZUiRkekwg18R188zZgTA9jxkKiopIyTLkqSpigbSbRvgdF0xxEtLd+qbQIkNQEbwF2NikqG1MoCHhqF5CIjDtK62/kisVib5pR2NVXX+38efny5WzYsIHGxkbuv/9+PvGJT7zhn/eWCS6/z3o9iLFsNsv4+LggQf7qc8LvpHmNYGwj8fOWJeYda69n4qnvoOgeii78APHjz5MebseWfePpHb/EN38DvqZV6KV1ov9qWaTO7sDOiEzbNi0SZ7aLds70iOPVAiK7nYUAk5uXkJTZ4Ahdjj/yTYzJARSXm+jhx4kefQrNX4yrvEFKsGsO29nbuIxUz1HK3/F/UIOlpHsOy826A2ybwOKLBGkUyMq++ExZGHd5A/5564keesxpG4pN7gjxtqfFy6i5sC0DMzGNHiwlNy+ZiYDKjPUw/tA/EFh6OWYiIvr7o/c4n5PuP4m3YXm+/aWqKIBv7lpHDj8zOcj4A19FcXmx00nCu+8GVUcrKBMx9JVqxA4SS8GITYrWpg1kkky+8B+4yurl5r6U2LGtMzbN/HFUTwBXaR2proNUvu+bmLFJwenpOSIk5oHQ1h/ga16Dt2nFLEma9PA5jFBfnickA0vRBe8X7ab+k2RGOmR7RTDN/Qs2k+w84AzgMbMoLi++ppX4mlZiX/QRYie3Edl9F1phBen+Ew4oJKfS8EqVAHEpFFRVE5JCoQGwbfyLL3I26JJLPoaqe0gPnSHVf5pk1wGSXQcAAee1s2nSiXDevkBep+HbPyOg6YpIDGZZRMvWkxIoxYxMADbp/pNoBeV4GleSHjztGLLpVXNxFVaQjE4IOXy5vNVzHYCJbVvOMW0jIytTBb2y2Rn6m+ERMWc0DVSXy/H2cVXPR/P4McNjZAZOOc+HXlAqxD9tG3fVXOG7YmSE0rNlovqKUDyiM2HFp9GCpZKKYJAZFefpa90kyJ+piMNf0gPFDjrwjYYM27ZNIpH4LyNRFhcX09raSmdn55ty/P+RwSWnS9ba2kpfXx+BJZeRlAZb0YOPiB+yLFzVrRSsfgeKqjkSLjPbIKmBU4Se+DZmfJrowceIHngELVCKJWXO7axN8ZYP4W1YRnZqmMSZ7QRXXo2vaSVGYpr4seeIHX8BKxHOI8CaV+OpFwFupjGY6vIIlnB4lJqP/oDMWJdAgHUfFhmj5iKw8ELh20E7lmU7x1CluoBv7jqmXvoFiY59QpBSEsqQVrKpvhO4yupxV88TvJicUKOizdrkRu/5ElZiGq2gnGTHPpId+2RAtGbNpcRNEUHDU79U/L5pkB7uILzvAYxQn/DM0Vx465bgbV4lmOfWbPSXu3QOqtuPu2Y+pVf+EemhDknePAy2RbTtGbKhfql9tgJVDoXNRITs5H4ZM2yKL/2EMO/qO+nMd8Q5ClXhZOcBFN2DXlQ56/NRFTy1rXhqWyna9F4iJ54nuvvXZEZ7yAx1EN7za7SiKnRZyRqhPjxzFlFyyccwE2Emtv4QOxnGv+BCgsuvclqA8dM7SHUfwteyRuhq2Tausno8dUuEesIrZHF0WV2XXv5ptKIK0n0nSPa2keppA2B6552k+k6IgX7dYoFgsy2sTFxaGGigaGjeINmcPpqq4Sqrw1VWh3fuekJPftuxonaVziEtCbbG9DB66RyMyUG88zaQ6jrk2FMb08N45iyi+MJbyE6PiIH4wGmMkQ5y6YqropmSKz4NWDPafuCpaMojuzJxR/PMtkz5vRTSQ2dwyQCaHe8lJwWjeXyOyRlyvpnqOkB6+JxEgIG7tDZvtezy4SqqIBsaID3UIfg6gGfOQuJnd8+wQbZQ9HyAUnyFuCqbMWOTpM+fAKl0oPkLnbmkq7yR7MR5rHQCQ/LSPvyRj7Js6RJuvfVWbr75Zt6I9V9JoozFYnR1dfGhD33oTTn+Wya4/L6GYa/VFhsbG+P48eM0NDQ4g6qiC26m+KIPCdLYyReFjzmQHekQxEB/kSAivtJetrQeEIKP3sblxE68SPLcfmzHUdImcuRJMuO9uOWQOdcC0/3FwlRLUYi1bcVdv4Ts+PlZcN/4qe1gW3gbV6D5i4SUh2mgqCqe6vl4qudTtPE9jPz6C9iZhHDQy0qtI4kGMsKj6MXVeZiznBdY6bhDLlO8wrQr3X/SGbZ6G1fkKwIrf00VRRHtHytI1fu+LjP6Y9Kj5jTxk9tI9Z8SyLfGlage+SLIIa8QeVyMvfY6Jrf+AHfdYszwmODFnG+TN9JF5PDj+BpXojseLwhUjubCW78Eb/0Sii74AEP/8SlUb0BUBLIt45IDcCsZQZFcjex4D4GFFxJYeCFmNsn4A18TswNPADsdBxQBCjjypKNdZiUi/KblkjyHwILNZGMhMn0nMMOjUg1XQa+eS9FFAkodO/kitoSuOj182QK0jQyp7kNC2j2TFG20iX5Hcyx24kX88zfgqhQVrcMtUoQzon/BBfgXXICZCDPyy7/AMjIkzu0TCEKJYLPNrFAJDhTjrllEqucQZiJC6vwJQCFy5CmCrZvQS+YQ2vp9cY2lkrVtmZhRMY/yNq1EcXkwJgelynA+iXOVN4gWrqY7ZnWBZZcTevI7Eu6rYCYjRA4/Tqr/NCSnnVYYquKoYrhqF6IHismOdYt2qpR7yfSfYrI/V3UIxetUzxHM8JgDEnDVLXFM1uxUzIHkm5mkBLkoBBZeICWXbGGKJxWqZ8r2+1s3Ez/9ElYi7Kgbu8rq8twwBXwt60n2HCbV2+b4ynjmLBTBJRlB9RUSWH4lyc4DHDp0mKNtf/KGBpc3q3L5q7/6K6677joaGxsZGhriq1/9Kpqm8f73v/9N+by3THD5fdbvqlxs26arq4uenh6WLVtGdXW10xO1s2kUzYXq9lG4+lqiBx+jYM11eBuXk+o5SrL7kPDUBiae+LaEDK90MmTbyKC6/RSuuY7CNdcx+tA/YIZHCS69gmT3IRJndzmQ4czgWTzV8/IaYJog+amaGzudQHH7UL0BzPAY2VCf8JUHXJXNYqhtW7N0z3LHsG0bMxl1WhpmSLC4J5/5npA0kecsLwbxs7slCdQWw9BMkuCqd6AXlJM4u4tUzxEnEE5tvx3fvPV4m1aK7FxVHbiwFiwlsORSAksuFYJ+BVVgm3npf+mUmR3vzWfT4CgGaN4CKYEyu62SqwRVfzG+5tXYRvZVZlyKooCm4Z+/iaJN75UeL0KJWMymdPyLLyE7ki/rrUyC8fu+LGQ+1lyPf8EFwmlQKjqbk0OY4VHh/CnPKbznHnwta/E2LHPEDgEh7CmPrVfPQ3X7yfSdxBjpZOz+vxMJrmWgBEqw41MY4VFc5Y2vSpSsVNwxb1M8AcxJMZ/LycEonoCcsXlyX/wVT7f4b3dZA1phuQBz2JaYQUhr7Yr3fIPovnsEgbVjL6DgrltEdqRLtGcVFRQVf+sm4eKZSYhZhuTAuErnCH8VBDjDM2eRY7ucnehj7P6vCI25hhV4561j8rkfY8VCYtAtn6NUx15AttssIXmT6DwkPYnAXVyVH8CbWUetuOSKTwvwxZmduOuXOtfBCI8Kra/wKJquO0FKr2xC9xWSioVIdR2S8z1bSPen4mAj5p22Tar/pLgepglun/R+EXMp1Vco9MeMDKnhc+I6+0tEJWSZGFPDKG4/iqY7QQ6Xh/LrP092ol+2ymx83t88o/tDVjwef9NmLgMDA7z//e8nFApRUVHBhRdeyP79+6moqHhTPu+/VXD5bRIwM31fNm7c6NycnP9L5PAT+OdtwFXZJPvICraRzjOd19/E+BPfJjNwSjpSnoKdd+IqbwAUYfk7gwSp6h4sRaVw/U0Urr8JIzJBoucI0b33Ej+9nfjp7YLt3bJGIFwsi9T5NvSiakou/Riav5iRe75I4dob8TavItq2lXTfccEcB0bv/rzY7JpW4q6eL6T/s8LbQtE9FF/6cTKjXcRPvIB/4RYyYz3ET7+U90BXNUAyoNv3yCCjoGATWLSFwKItAERP7SSy8xdkxnrIjHQS3n23kBxJxlCwXx3kVB1PzXxKLvmYlP7fTez0S5ihfmGo1fYMntoFwudF8l+S3YdFRq57ULCp+uC3SfedIN59kExvm9AeO/0S2Bbp/lOEnvm+kIRpWIGWc7+UQWemEvHgbR9HL6wQqC3bAhvi548z/ewPwcwSWPF2R4zSVVyNq7gad/V8Jp//sejvzwh2qd42gZ5TFNxV8xytr+xIJ3ppHcbUML45iylcfxO2kSU5cJrp7T9zWjN2fApQhCJwsEycf9NKpy2Z6j2K6vZRcvmtuEpqiBx+ksTZnVTe/A0B+e7YS7LrgLNJT+++G//c9cK5srjaOVczMU1mrCsPDJB/b6fjjN75547kPqpG1Qf+L3qw1LFKCD31HVylc5z2nJ1NY2blBpuKCfHLUWGo56pZgF5aS3rwDIFFl+Cuanagy7HjzxI7LrhE3qaVGJEJjMh4Xt9LEcKZGWmaZifCaMXVmNMjWEZGKDig4Kpfiu7xkwVUfxGB+RtJntmJ5vY6KthaWT2F625iauv3SQ+cctCPnsq5DspN0d34F24hfmob6f5TeTj0wClsVAEpBvAEUHU9D0DR3XgblpJo3ytQdjnPoliIbEy02YKrrnE03hxkYTbN2ENfFyZnbh+K7sHjeWO20Uwmg2EYb1pb7N57731Tjvvb1lsmuPy+bbFXBpd4PM7Ro0fxeDxs2rRplupoba1wmYyfeIH48edQvQV4JcrmlQrBOUfBmo99HzMyQfTYVvFAKQrRA4+QOL0Db8takWFqrvw8A8F4L1xxFdF99xJccY2wau09SvTQ4+Q0wEDB07DUgTcjpc9dJbWUXvpxAKZ23kXi1IugasROvEDs2LMSApkVg8yCcsou+5RAvtk2ccDfuomSSz8uYM7dhwjvvQ8rPklg+RWoui7g27GQozk2c3mrmoggbIHNdAJjtNN5aW1g5I4/l86Xq6SiseK0boTu1iX4569n+Od/SmDFVZiREOmhs0L7K7csE9/8DWRGOjETYTRfAf4FQg8sg4K7qgW1sFIICBppCRGW7a+KZrAsrGzqNygziM0gGxqQm6LN9NP/ln8ujm0lcTqHRNoAmovwrl+JStLjB9Og+iPfI356O4lzL2OEBsDOqQvnP6fiPV9j+Gd/5Py3bZlEdv0KOxWjYO2NuKtaCO9/ACPUT3DVO0j1HiV+akagl6tw0/twlQipFae6092O/htA9PQOIjvuIDtxnvBoN+G996AVVOCZsxAQvB7VX0T5O/4PtpkhevgJuVnbaIESkcjYFoGV10oAhmhTumukBpaiYWVSjh2yp3E5dipGJhUjce5lZ6jvKqnOqylj45mzCM+cRQSWX8nE4/8s3UY9otoJj4GRwVYUMRSPT2NlU5IgqQiBVNvGnB4h2XlQPlk27oJSDDlPUXS3Ezgy4+cdIq4ZGmDqhf8Q55FOOFWMmQw7fK/AkssxZTDITpx3TPBweUGqIpfd9EUmn/wOVjIqZXBEpWblZPZRcFU0kh0/L0nEYkYUO/6c0y5Tg6WUXPoJEqd3OFB4f+tmUueP4fH84f4tM1csJpKV/9UW+3+wXjlzGR8f59ixY9TX1zN//vxXKYzmZi7lN36J7Fg38fY9JNp3g2USP70DMz7lKOSquT60kUUvqqTkIsF6H/z5n6LYllBxPfkiccnARlF+gwukiurxUbDpPRRv+SBWJsX4w9/EmBpA9RcSP/488RMvClVk+9UBTpXolYobv4TiDZDs2E/izE5nOG1FQ0xs/T6e6nm4pGuh4/OiqvjnrccMjxI59BiqrjsZaW4lOvaCouBtWiX4KXI+kxnrwU7H0IuqCC6/isTAWTJ9x4RKwNnd0sxLB9vCiIZEkMjZ16rixXKV1lG8WfRujWiI8J57SPUcxt24Ar2gTLQ0LBPLsph4/J/JDnfgnbtO8GJUDXvdjRjhUVK9x4ifElpa2fEewas5/RKp88ecOY+ndgEoCmZsSki/aDoz9dSKL/0EiqIKI7i+4+KzFRXF7cU/fyOp3mNYRgTV7aVACppalsXo3X+NlU2L1tHAGcypQdGXt0wyE31kI2OM3f9VyKZnSdq4SuswQv0UrLmOoo3vFmKVPYeZ3v1rYalgW0y/dDuKy4OrtN5BCyrMfl49ZWLG561fTiYygjU5hBkdJ9EuN2FPgPLr/gZV14mfPSQCi0y4/fM3kA2Pkuo6RLrrIMmyOjzNa8Q7kQsUZkZwYGRipBeWk0lGAFsgpkpqMKeGwTJJSl+bRM9RXGV16GX1TD71byLR0XRUzYVtZCRyysY/fxPZ6WHM+DSJ9r0SrWbPqmIACta/i+j++8lGxh3Y8MTD30TJgTTCo3jqllCw8u0kOvbJFp+Yuaiqiim/Yy4BiB17xoF5u8rqhcJ4bMoJEAChh75BDinobVxJ6nybcPLsFd/R07JaeMog5jli6I/0vhFW06Vv+4wIkN2HyA38Fd2FlUmQzf7+fi2/a8ViMRRFwe/3vyHH+3+93lLB5ZVulK9cubaYbdv09PTQ1dXFkiVLnArllau0VGRv2KbDkbAsi7FffxEzNiGw+7IdosjBtBkZQ5UvOYDm9mJbJp66xSTPiXmH2GjtWZwYQZxTZlU0qtuLu6oFY2qA6g9+m+zkoCN0aSUjxI49S2asx5mX5HrNtplFU3VnQD18x5+jFZbjn7dBSMr0HXcYxcmug6j+Ily5wbg8NyMyIV6EGd4YVjJKrG0rsaNPo3gCDlvaTkVx1y6g+MJbhIFUwzLsTe8mM97L1LafgpkXzMwMnWXkl3+Bq7wRX8saPFLRmBkIML2gjODyq0j1HEbTXRiJsIP6Gf6PT8qLo4FpkJ0axl1WJ0RLdTeJjj35a19UiZlKQjoq1IxPbiN+4gUJBTdF4FRUcAchOY1SXIM9LXhLvqaV+BdsxjYNEuf2Mb39dtzV80Qi8Bv2AlVVhVimkcVOJwT0FRi75wsApM+3MZYDJCAlbToP4Ju/cfY8SR7LN3cd6ZFO4sefo+oD/1d4zve2ke477iQVkQMP421ZkxfqlM9+eqQTOxUV9scNK0j0n8QYOYedjjP24FcE+i2TQPEX4yqsIDPSSTY8Rqr7CIrbjxGdYPK5HwlBx6IqPBJ+b0wNOfMJELNIwUC38TatBmzMqWGS3Ufyba50XEDDZXvU37qRZO8xbMsi3r5XVByqjhYsITsl7JntbBqtWFYZsUnZilJQAsVkJRw5M3Aa1V+Ef9FFpAfPOuRgrWoeJRd/RKAv5XwRwF1eR1ZChNHduErnkB0/T83Hf8DEE98mO34eb+NywcyXNsi2mUH1BDGTEdEKVVTcNfNJnW+T10IKzXoDpOV5+eauJTPSiZWOO342YAtNMgDdi6uonOzkEMmuw9jpBB/+8B+/+oH6A1ZumP/KJPm/63pLBZfXWpqmkU6nOXbsGNPT02zYsOF3EpmKi4sBZjwk4sXXS6qxkmECSy8l0XUQKxqSmY4iBpelc+TMYxWK7saMhkh27BcZTdbEXdWCu3qeaCXEQqQHTgs2saKR6Ngr0EJNK9FL58wKGO6KRtwVjRSuu5Ghu/4aOz7lWNWGd98NsmWWDQ2gBcvyCDAJlQ4uv4rg8quw0nFinQeJ7hQaT4mzu1D9RcK8SzKzk50vo7j9lL7tM9ipKMnuww4YAESfPk9eVMhODhI5+Cj+hVtwl87BjE0KsIEpNnC9uJrgsiuIt+8lO9pJduI82VAfHBD6TMmeI2iF5XhqFjjmawDZyATGRB+qx4+vZa30CcnirmwRvJreoxIeXEV2clBUVo0rSJ0/hrtmAaWXfhwrkyB24kWiJ7ZBclrAn3OVim1Bcprgyqvx1C4i9PR3ZvFiBOm1Uf6sUFCwksKkKvTsD/E1rZJWtwXi3420GJh7AqL/HxknsPgSPLULCB96AnN6iKILbxHOnf2nHOIgiMDrqVuc127L2TzPQH7ZpkH44CPEjz4tkF/tux2hzpx0v52K4KlfRvEF7xfqEK2bsI0M6ZFOIgcedkyw7GSYjBRlTHUdRCusoPTyW1E9ATISkZXqP0lc6q2BIN26K5pJD5wSaEIzC6jC+VLaNduZBO7ahWSGzlJ0wc3oxTWEnvw2enGNUAy2benCKJjrWKYQzpwcBmx8rZsww2OY4VES5wREWq9swpg4TyoqWkpqQTnl134OLIvE2d3O+ZmjnYzc92Ux09Dd6BVNZMd7McPjjlhoYPGlZEc7BVDG7cdVModsaEBYHud0wVo3Ej+zS1RWDhrSJrL/gdyVEJyxwbOk+k5KcU8FvahSGKMZGQeaLayc+wEbT+My4c6JjRkd52tf+xp/+Zd/yRux4vE4fr//dTlXvpXXf6vgYlkWo6OjFBYWsnnz5td0dauvFxXI5HM/wtu0El/zajz1S1FdHmzbJNG+R/peKCgePzYKpGPCM2Vq2DEKAtBLaii9+i8Z+/XnBdGr84AjcJdPhW3MRFiw3Q8In5jcjMU2MjCD+a37CjHSCXwta0i07xEbonxhJ5/5nggWzRIBpqgOUQ8EAbBgwWaiO3+JVlyL6g2QHesifuolcqZOarCM8nf8JaruJiNnGaCCLlpIOQn6ZPsefPM2CO20nqPSPMkDZkbwX+ZvEOgsTXdQY5FDTxA99Ch4guKcc7ImfcfFgLNhGS4piGhM9KIXVlJy2SfQ/MVCt2zwLBU3fQkrFRMCn71HSZ8/Btj4F16Y96bJzXckUs9VVs/kM9/D17wK1RMQxlZGBnQ3sePPk5Bw1kTHXhSXB09NK4qmO3fHSsdJDJ11qsuZMjiuyhYxAzAzECxHyaYwI+MUrLneAQa4KxpJTg/hX7iF4LIrsI0s6aGzTO/4JWZ8itDT30XR3HgaluJtWiXgxzAL/aVoOp6qecQB7/xNmLEJsoNnhVAnJ3I/hJWMkOw5grdlNaqqo+hukl0HsaTMTmDBZtKD7aQGTjmkTzM2SaTtGUo234ynphVPTSuqv1Cg+sSVJLDggjwvxDQF6bH/JFYq7kB6PS1r0NxeMkOguLxi3gagaaLVKrlOvnkbyAyfw0yGRfvKsgAVPVDi+KcoLi8V1/0VqjfI5LafkxkWsxIrGWVq+x0CpZmOoRVWYkbG8LSsJ92dn2kYETHcT/UckZI0KRRJns0lEbYEaCTO7Rd/p7klAdgEy8DTsIx03wlc5U2i1YqENqvivlixSVwVTWQnB8mG+kXwVlS8dUuITQ4KtWnJ8NdcPrLxKbB5QwML/M9yoYS3WHD5XW2xiYkJ+vr68Hg8rF279vcqHefMmcPtt9/Oz3/+cw4dPsLkuf1S2dQjBsWpBMWXf5rInruFc2R5Qz6bf2Wrw1tASmb+OfKVWlCOFZ2g+iP/SjY0ROjpf8Pfuomije8jduJ5kl0vOy/+6D1fFD4xTavEYF8XPetE+x5Ut4/iSz5Gevgc8ePP4l8idKLiZ3YKB0fEC5To2Ie3cbmAy8p5iYIphC1zs5eCMqxoCCsWYvzhb6D4i7HCo4IwqSgoqkbJpZ8UApVhGVzmrsPXvBozFSN9/jjx0y+RGTmHf+FmNF+B5GCI6zG57Wck2/fgrmmleMsHUTQ3o/d+iYIN70YPlgqVgP6TkqEtXkjVV4gxPSakVXLoLoT8fk7gc2r77STO7UfzBp1N2YxNYWXTjrdLLqOzZL/cmVkZGVxl9aKSAuk6eigf6KQcTHa0S9x/XxBF1an58HfIhPqJHXtWVJ65DDc2IRpHikL81HaykwP4ZYCZuRTdhbdhGZ76ZSTOvETJ5beSaN9DeuCMCNJyxdq24mtenef05NpS8UmyckNXS+aI+5hJ4KlbLFxPX36QyMFH0PzFWKaBnQwTWHwJwZVXC4+d0jqCyy7HSEaZ3PoDrMQ06Z4jTKPgX3ih8Iw5/ZIDuVU8XjE8l89K+Tv/Vvju2DbxHFwXG3dxlQNLFhdcMumzacehUvEVoheUiYBkGii6B3fDUjKDp4UR31gvYKOX15OZGiJxajuZ0S7JO0rgqV0goM6Wga9lLVY2iRkZI91zyLk+qjeANZECFLTCCrwta4kff45k12EHfDB42yfkjwv+jhIsgUREvMdmVrTQiqtJ950gO97jkKU1t0e26BQCK96GlQwLEzZp6KZ4g1gS+ICq4qkR55vqP4EVn8blcvHxj3/8dVmAvNaKxWIEAoH/rVz+q5Zt2/T29tLZ2UlNTQ2pVOp19SQ/8IEP8IEPfACAm2++mUcffRQ7mxRY+JbVaB4/qDpmIozZe1S8fEYGtaAcOxmh/MYvEmt7lvTAKSLDHU7vWfH4UT1BrOgEZjyCt25R/ne9fgrX3UDhuhuIHn+ByJ670QrKhPy+FFcEhAxFsIyyKz8tNpAc0WveRkou+rAzGJ566ZdYqRhTL/5EwGWrW/G1iBmPyBAVAZmdHKD65n/CyiSEEdeRpzEjo4ANMtu0TYPo0afwzV2HLkUncxWC5g2KOYVtkRk5h+LxCT8a08SMTzFyzxcxp0dQfUUUrr3RAUEAKLaNf956/POEUmzk6DNE99+Pq7xRtP5GzoHmEhBl2xaaYzPv44zAkZTVRGboDMO3/2l+piWvW6rnqNzwxEZdsOod+BddhBEZI/Tkv1Jy+a3YlkXizI4ZgQ5QdQKLLyZ1/pizwbrL6im9TMyBBn/6R3iqWjBTcYxQHwWrrxUbSq6ikzVQNtSPu2rujE1AbIa+uWvxt24S5x4aZOqlX2CMdRE9/ATRQ4/JanS146+TlnMHKxEmuPACUCCy9z6Kt3xQ2CCMdpE6f4x4xz5J1FRIdB3AiE7gb92Mp3oelmUxvf12ARxwrs8RUj2HnXamu6ZVgDIUFSMactB8oSe/48j2g0pg1dXEjzyFmQiTlN93et8DjnKyGRmXKgAKqubCiExI+LxC2U1fIn7kSWzTEFWGJ4BeVk925BzTQ+3iua1dIK7NcAfl7/hLYseeJbzvfvTiKgcGLawvqsiO9QoQxZj4ezM+TeLcPrAMzOg4geVX4SqpIXp0q3zGoeza/8P09p9jpOPiXVIUiaKbFrdJ9+CpX0Kq5wjpwbOSXCuQhUJl3BI6g9k0im2TlCRkrbTRSeas+BS4PPh8XsdNMmdbXFpa+prdlN+1/ie5UMJbPLiYpsnJkyeZnJxk/fr1JBIJent7/+DjXX311Tz66KMEl18lBBPPH8tvPAivF0/dEsdV0jazuMobKb78U0w99++keo7grmxB9QVJD5wRTnWKyviT/4qvYansRc+GzebEDksvvxVXWT2pgTPETzzvVEhWLMTEk/+Kq6wBV/VcAGzphTJrMHxqG755m0j3nyQz3CF7/QK1UnThB8iMn8eYHMC2DDR/Eam+E5iRUbExz13H9O5foxdV4apoJNV7lMjLDzJzs/Q2rnA2vVxbyk4nSZ4/JoIxCmY6DoqKlQwz8cS3RP++skW2DGZDxHNtsaItt+AqaxAzit420QLEZvgXnxWtyqZVeOqXOIPmRPseRxfL27JG8C+GOmb4gyACi+R6uGsX4pu3QQACtLx8v791I4HWjQAkug4z9dwPcdUsQHV7sSxT6ExZ1qxERVEU9JIaXLqHWKiPwPKrKFz/TlHR9R1neu8D2KkwE498E9VXkHfudJBq+YzTXTaHgmWXMfViF75FF5MZPIMZHiF+eqdzrdTCCqre9w2Gf/bHjoWwPBEUVXNaW+6KJiaf+xGBZZdjTA0J+ZX+k2L2pChgZPDULZFyJwoV7/l7IvsfJHF2J97m1c4mamdTcsOUlVM6hp3VAIWSy28VjHoFYUusqPgXXEBmrEfeM7ECiy4ifnYXViYpZniy0zDxwFfF+dgWWlE1le/9ukAsZtNM77iDZPchPNXzSA/nod65AG8mIqQl18Tfulm0ocDx88G2xaYvrSeCK99BcMnFxE695AQWgIlHvpk/z5XXEG97WnxnmazoFY1OEmOn4xSsuR5v4womX/yJA3/2LdxC/PjzQrJG2oDrXr80FhQB0oyF8Ps1LrzwQiKRCKFQiP7+fs6cOUNBQQFlZWWUl5cTDAZfVxUSi8X+xyDF4C0WXGbeiGQyydGjR9E0jc2bN+PxeEin06/b6njmyg34fS3rKNp8s6gMeo8y9eLPsDHxz1ufx77bFsLpMMrYw98UCsGLLqJg5TUoksGeGeshevw5jIk+kvIFTJ1vY/Suv8Y3Nw8IgDzs2Fu3CG/dIkbu+itUT5Dg8itJdh8h1Z/3O0mc2YWi6oJAqapSOBCM0ABWIoKrrB61sFx4slsG4T33OBpf2dg0U898FTMyPut8VY8fLVhC6eWfEuc+0kW86yDJU9tEZn30GUf+3vHE6NgvTL80N1qgCNvIohWUUXbVn+QlYQbPgG0TO7kNK5PC17QKV1Wzk+lhWaguD77m1aL1ZpmkO/aiF1fPquRUl9dBGuXUnPXCSiGhA0xt/zmJs3vQCsqwkhGxMakamaGzjD3496i+AlyVzeJav6K16ioRgU5VFeE7k5gG22b4J59C9QTwzl1H4YZ3/tbnRvMG8bduJj3SSeLUdgrXv4tE98G89YBcibO78DatdGxyczqZRqgfMzKKXlqHVlgptLfMLFZknLF7/9b5wTxsfPaGlPt7f+tm3JXNWJkk6YHTJHsOk+zYh146B3dlE9mpIRRVRfMGpQmYsA3P5vS5TENwRaIhsA0xg5gaAttg6tkfOnwsRXNRdu3/QfcXETv+PLEpKdpY3ijg8rmB/oyleAscNeHKm7+OKkm0qssjoPcSSWlMD8v3SoAqUBQRzGTrTXV5HKSa6i9CDZRghPqdAAkKsWPPEDv1ImRTwsMlmxKVSq6VreoYUgXBSoSlbD9omu5USHrdEnzz1hPZ/4ATWBSX15khoiiUXPpxpl78CenRbulWCZ7qucTPDmNZHkzTpKCggKKiIlpaWkin04RCIUKhEH19fWiaNquqeS0fqv9KXbH/ivWWCi65FQqFaGtro6amhoULFzrZ5W9j6P++KwdNtmSLKCdfHjv+PNmJPmzbdkiEuWH9yB1/jqMQnE1jxqfQC8pQVI3MSCfGxHm0wkoK115Paugcqe5DmLGQeCmPPUvO1Cg93IFeWpf3hld1Jzv0L7gA28gS69hLZMcdJLsOSrSXT2zIyRhYBtmJ83ibVlG08T0omo696b0Yk4MkOvZJ/D1M3PclcXxFFXOJbJrAootAUZ2goagantpWXNXzSJ58Af+iizDjU6SH2/P6XwBmFt/8jWIIa1kC+WaZsyRhrGyK4ds/i5WYFrL1R59C9QbRJULLnqFbBqDJIFhx4xdQNBepwbOikus7AZYl1JylpExuzhN65vukeo/ibVzp6LWN3vd3FK69AU/jCgnvPkJasqijR57EjE3ibVrpVFAA2clB0S+vaCSw6CLSQ+1CHuTUNlGtKgpmbBLVKxCIZnQCzTvjZZfBIrjibRSsuVYkJ/0nmN5xB1YiLJw7d94p1BmaVzvXOzvahbumlZKLPiRap/Z7hbjiwGniUjYovO9+VBmUxh/+B7xNqx2BSifoyJas6vbha1mDu3oeyY59qG6fCKhmNl/9yI02M9aTJ7Vqbnwtq4kdfx4AV1kt2cn+/KZsC4KjGigVKgrREMmOPaiBYqz4NKrLI1BT8nzKrv8i2bFOUUkNnhW/r6iEd90l/YUkxFpWKImOfUKrC5vhX/yZo0oMNnppPcbUIOnhc2RD/YCCr3WzULS2LWzLcLTCtECJCAiKgm/uGpF0FFZQesnHRUdi8AzpnFYZKt6WtaQ6XxbVkZEFRcMYOMXYfV8GbFwVTUI1OZMk3rEPMSu0mdr2M/ngJIUlwfA50sPnxL023PzZn/0Zn/70p1m0aJGoeqXLY21tLZZlEQ6HCYVC9PT0cOrUKYqKipyq5jehwv43uLyJy7Ztzp8/T0dHBwsXLnTQXrn1eiT3f9PK3bjo4Sew4tNiOO4NStKUSarvhPBlkRlcYOllxM/uQkFBL652vCAUtw9UHTsVxTNnMUUXvB/V5RFCk6uvERbJ2+WDaQsob2Tf/URefghP3RLJiZltlazoLvzNq4nsuIPiSz8uiJ5ndpLsOiirHkXAexUFIzKOq6QGRVGx0gnhrimXGijDiocILL2czMi5vH8FYLo8GOExRxVYBG0FV3kDJZd8DBCzgvCeu8kMnsHTsha9oJTMiIJtmqi6+1XBQnV5pQabjad+Bcn2XVipmCN/Hnrqu/I7rxKtt1zLTfq8eOcsxDtnIdO7f0389HbprSOy1PTIOUbu+jxmdBytqJrCdTfMMPJSsLEdIcXCtTeQCfUzfv9XMMJjwvJ4331oBRW4a+YBol/uqV8qIb5CXLJw/U1kQ4NMbf85diY5w0BMyrkUVkhvnpW/mc/SuIJk/VKSZ3dT+f5/JHb8eTHvOvyEQ+4DYVZnGxmhL6aouMsbhHCp483uduR/rGSURPtuEmd2CL/3nK/QK6qFPLdIOCkKkUWV8cf+WSom2zPUEhSBKpzoz2/27XudNlHp1X8OliEr0jaihx8XM4viary1C4if3oERGZ8lze8qKMFVsA5v4ypCT0sRS9uaYSYnOGBWMiJ4VumYmDGlYvjmrSfZJXhYgaWXkckJTg53zJhJGhiRCbDBN3eNEP3MJPKVhkxCbCONjY0WLMHfugkzGck7bFY05DdxI0Phhnfha1nH5PM/kigwFU/dYhJndor3TNMpuvAWspMDjqspBZVowXJAtKO1QAmW289dd93FXXfdxXe/+10+9KEPzdqbVFWlqKiIkpIS5s2bRzKZdKqanp4e3G63U9WUlJSgadr/osXezNXZ2cn58+dZu3YtJSUlr/r3/2xwyXlHZ0a7xMOnKLir5wt1XCMrDb8Edr/k4o/hrmgkM9yBmYxS+e6vYsanSPW2Ee94mexIuzxWJ1Mv3Y5/3kY8jStI958kvOfXok1lmWiBYgo3vJvYqe1kRzodZWIQZXj06NN4m1aJYCHNwbBMAosuEhUHMPbQN8iOd+OubHaGy4rLixYowZgeRvH48VTPF1IUjUtJnt5BYOllFF/4AWlGdYzpXXdjhscY/fXfoBdVOVI2KIpECYnlLptDwcqrCQ2eQdVdWJkkViouWg/JKCgw+eJP8TWvkrBuL4qqYqYTJDt2o+huija8GyMWIt75MnZsUniTSMY3EgRgTA5KNeAcl0dswmYiIoOhItA8CqKiCI8w9tA/oHqCzmD4lT4vmr8YgJKLPyK8XI4/R7LrEMkO4dqJogo+z9FnCCzagh4owTYtwvvuk7wNdcYxbQJLryDVf8KR4smtZPdBqQjtn3UeemGVUHYArGyK8Uf/r6hsg2VC++3MDhRPAHfVPMzoOMbkIO6qFjKjPegFpegltXmH0BnKCkIBW2Hi8X9BL5kjnUdXoPqESkJm4rxAzFXPR3V7peJwnszrqpqLlYxgJaOzZ1fiogA2qq8QT1ULvpa1FF9iET/xIuE9v8abu9aI4JwDIABM7filaC0dfFT8mzeIlUkx59afkOw7QfzUNjLD5xxVau/ctZjhUexMgtLLP8W020f8zE6R3KUTonVVWIHq9glX2I59UhZmRtvQNNCLawTJ0cwKjxwjA0aGiae/i+IJkB0551RbiqY7ApxqST2usgamd90lAosq5k1WKuYgFEvf9ln0QBERyd8CIDpGsl1Aol2Vcym78tPETrzotAtt28btdgtxWUnytm3bURNRFAW3201tbS11dXWYpsn09DShUIiOjg7a29u5++67qaiooKqqijdz/fu//zvf+ta3GBkZYcWKFfzgBz94U+ya4S0WXOrq6hx/59+0ZjL0/xC4XllZGQDFWz6Iq7yBWNuzpAZOOQKEDhIMlWSvcOBTNJfzomqBEgJLLsU3bwPDt/8p/oUXYhtZUufbCO+9B/bfLxBg3gJ889aJ4bRt42/dhLdpFWMPfhUzPIaropnseA92Ni3gpvsfEBlyizDPeqUGmFZQRna8h4qb/hYzGRVAhJ4jgruiuwksuNBBmjm2AfIYWqCYwOKLyU6cJ356J67KRozJIaeFhZRJ0Yoq8dYtFpm1zBzNRJhU96G86oBtAiqp7sPOrMQzZxFmIgZmBtVfROnln3SMtYJLLsVMxZja9jOn3Ug2BYrC+MNfn6HmvEq0dWzbkfsQO40bsPE2rqBw/U1O+yvVLZRwE+17UFQNb9Mq9JLaGSKbNpqvgKIN76Jow7tI9LYx9cz38LWsITs5SLJ9N8n2PYI3YRlgZPA2Licz2pP3HgEK1t1A8ZZbsCyDZMd+IgcexUpMMfXiT0FRpePoKtnqYdaoRHV5cZXVYUycp+qD/4IxPeo4Tqb7joEtBCI9NfPIjHZjJiION0RUk/VkpRQLVr7CNSLjwjrg8BOOdD5GhuCyKwTB1jAIPf2vYq6iKLgqmvDOWUji3MvY2ZRjLeyuXYgRHnG0tqKHn0BZdwPuiiYURUV15H1UB3qP24dv/kaHlCl05ESF6m1ejRmbxJKmWr6GZfikMsDE1u+T7j2Bq6hS8FpycjSyCk4P5AUn/fPWk+w9JuYyMyyMzWgIU3JevM0rSZzZjZ1JYubmM74CoXNmGSieAN6GZSTO7BL+MKYpgs1UPyGpP+eqbMHOJDDC43LmI6H2z3wfEPNWvawOIzSAWlyDJb1hrFSUyW0/IzPc4dg5lJSUOK17TRPvjmVZzl6V+7PzbKgqJSUllJWVMX/+fObMmcPg4CCPPvoozzzzDLt37+aaa67h+uuv59JLL+WNWvfddx+f+9znuO2229iwYQPf/e53edvb3kZ7ezuVlZWvfYDXud5SwcXv9/9Ov5bcjTNN8zWHY79pud2C62EbGdwVTZRe+WkAJl/8mWBlKwqusjpsyyTZsUdsoNJ22IxP5Qe18qV2V80lsPgSaZDVTvTwE2RGOvEv2CzaN4omZiVTw4w//A3sbIqiTe/D17KG0PO3YUbGqbz5m8SOP0uy65AQylMUIgceduYr3rolDlzUti00X4EjCzN635exEtPi31Oyxz4pNvH0cLvIAmfOeFQVV3G1aI3YliB1mgaZkXNMDp11PO1zbbPMwClQFFGRSZKjFiyl+oPfIjV4Rjp2doihPzZWJkHkwCP45m90DNHCe34tAoumi5fcX4SVmJYij22zRR5VDVSNwIILiJ/a7lhSg1BEdpXUUrDqHZjJCCN3/AVmfJrIgUeIvPwQWrAUT4OUonmlcaUMloGll+GpXYgRnRAckI79ZEc7cc9ZhKus3nEgnJmdA6hSikdRVKa2/RTP3PVkh9tfgdqDyP4H8TauxF09V3ymUwUpuEpqcJXUULDyauJndzO9/ee4Kxqdz7DTcXD70XyFmLEQemGlmD3MrM7cAcjkB9vCyEr49aC7MRIRJrd+3/EcsVJRNG+ByKQl5yOwYDPRI0+JGWOuWlMU0ufbGD/fhuL2UfuJHzmVU3qow3Fh9NTMdzxV0D3UfPS7TD7zfdKjnbhKasTmDq9G4aGAppKdGnaOlWjfKyphyyQ7fh6toAIzMY2VSUqPGBs0HW/9MlI9R4Q+nPNOmQ6R01O/VFRqqu6AArSC8vx1Mw2KNt+Mr3k1ky/8hIxk9nvmLBQClDJhKrv6zzDCo4T33Qe2jauiGdUXFCCa6WE5IxWoSBFYgnjrF5PsPJCXmZqxVFV1roFlWU5VY1mW87/cz9XV1fGlL32J9vZ2brnlFlasWMHTTz/Nz372szc0uHznO9/hU5/6FB/7mGiB33bbbTz11FPcfvvtfOELX3jDPie33lLB5bXWfza4AKIPPdROcNkV+eP6go5ciad2AUWbb8aIhkj1HiV88FFIxxm583NCT2vuWrzNq50gBUiDrCVkR7vJjHSiaDpWOoFtZrGzKTE4tC1c5Q3oJbXyd1xCQ8xXQNGGd1O04d1YhsHwzz6NompCtO/MTsENydmxJqN5wcjcMWxL8BK6DwMKxkiHM1QN77lXzDtaVktujyVhptJrxVeAt34Z8RziyTQEG3/mANlGtPE8PkgnnOHyTMfOwZ/+Ee7yetRACenzx8mM3u0AFjAzuGtasU2D7Ph5QYxLTBNcfpUj8pjsPEBk331YiWkCy6/IVyCWKTfp2bMOzVcImk7ByrcTXP52SVg94CC3pnfeSer8MSndvzxf5eb2xYJygksvx1Vaz8Rj/4TmDYoXX1YgloRCp/uO421ePYvPA4LRbSWjaIESFF8RxoQISrHjzxFre0aYsTWtJDstZwOvqLIdMqhlET8+Qz3ZSIuN1TIEQEN1gS2qRv/iS4Usv6JRfNEH8VS3kh7tdGDJsaNPO0x8b8sarPg0mZRoY6b6TmAlwriq5jpIOjuTwDNnEdmpYdGSVHXMyBh2NiVmNvKZMyYH8dQtJT1wEgWFZM9R51wTZ3Zha27x3EVDIomwLYZ/eit6URW+ueuEkoFpiGdrBrF0attPcxcD/8KLhJJ492EheikRmzkFckDMPDx+rOi4qMKMDOge3BWNpAdOY8Wn0AorMCPjKAqO9h6eAmzLJLTt52RHOyWJVNxrU86Pii/9BFqghMkXf+oEJdVf4CQY7pr5mPFp7GyGqlu+xdB/fEK4VMp3IYdC/W3rt1U1uaCTCzT9/f1s3LiRG264gRtuuOF3HvP1rkwmw+HDh/niF78467yuuOIK9u3b94Z+Vm69pYLLa7W6VFVFURQMw8Dj8byuY5umyVVXXQVAqvsQg7d9Qmg+LdyCreQ2sLzwpF5QRnDZFSguL9Pbf45eVkc2PEr2wMNEXn5IoLH6TuKqbJaEOlWw4G0bMzZJouuQ47SHoqL6CshO9BF6+t9Ej1kKN876frrYkANLLiW45nrSfceIn3iRtBxOjtz5l7ir5olWUvMqgRjLpsVgVmLy1cIqrMgoBevfSWakk8xIR37eoagougf/oi3ET27HzqREYFEUCtZcjxEeIdV/0pE/dzZ1TwHIvjnSpliZxQ9R0UvnUHLxR0UVN9ROqvsw8dPb0Ypr8NTMl+KFlpO5OlwPVSXQuhFzepjo0adRVV1IewC2aWJn08Jq+OWH8DWtzLs2InrdMwmrlpFl+Ke3YmOT7D0qeBiKil4s+thO++qVz0Y2Q0YiqBS338nop178qdP68zatciCy2bEu9JJaSi/9BKo3yNSuu0n3HaPmU7eRPLuXePsuUt2HneRj/LF/dkABemGFs8EnT78ElkHB6negF1WTHjhNqv9kvjUn+U7eeZuFGZ1lUnzZJ/FKCf1cgDcWXczEU98BM4viCeAqriYlnUrTQx2OVa9eWJHfdN0+3FUtZCcHMeMRsC353ZPChExcDTwtayhYfhXpgZOkhjocSC6qLmaLciU7D6D5iylY/Q4yY92k+k8JW/HDj4vnRh5f8QSwouMiwbFN8b4kpjAjIqjatiXbTTEUzeVohfmWXkry9A7sTFLwoFweVHdA6KHZlrBBrl8qFBUmZlR82ZSjJ+aunodtZMiGBkSSJd+/6Rduc76Hu6aVzHAHxvSI4yvjqWkVP68KfxhBAjZJ951EVTUWL178G5+r37Z+U1WzdetWjh8/znXXXfe6jvX7romJCUzTfNVMp6qqirNnz74pn/mWCi6/z/pD4Mjj4+OsXbeO0ZERAksvx1VWJ3Sl+k8SO/JE/gcVFWN6GDM2JTxTECguAHdlC3Y6iSlfVLCFnlb/CVRvEG/zGvngWYIfommiXWGa2GaG4PIr8S+6OD8v6W0DbEbu/jy+uevyMvjS50VVVXxSLibZc5TJrd9HK6ggM3FeGHvl3AVtC9VfRNk1f8H4g18jl567K1soXCMe1OzUEJPP34YR6se/5FLxYCuKaJ94g5Rc9klcsqIqXP9OsqF+pnfdlW8NzZhDWKkow3f8mdwsV+GpWyxmDTNtjuuX4K6eJ9BfkueTeUWLJ3F2N775m9ALy+W1l/4sU8N5CR6JprOySTEjOvIkqieIt2W1ONYrKppc+0svqsRVOkeoWNuWo2Iw+dy/SzBDzrVTthL7T4CiUHzRh0U2HxogPXiGRPch7ERY3ufcIFwgCf3zNjhacYrMSFVVJ7D4IgKLBRBjeu99xI9tzYuT7vk1enE1ds7t0jKcNimIqrlg3Y1kxnpEZi+dRFOduTkUTL90O1qgFG/9UvyLtmClYoS2/oCcSZii6dimIRwmbYGkclfNIzPaSWrwDLa8p66CCmzLcnS5vE0rMWOTZCeHhEBp71Hs8Cjp7kMOxJtsEnf1PDIjnXibVpPqOeTcA62gjNIr/khUww3LKFhzPWZknMnttzvkR//ii0l1HQRFpebWn5Duzw39Ox0knK91E5mhs5jpGNlQv0OojDmCk1B8+a2Ed92JnYk7wVIrrMgjGW0LV2Uz2bEe9OJqh/PirmkV8i65Z0f3oPmCgsFvmWiFVU7r2wyPoQZLsRIRjOgEZnwaxe0V4qoIawDd5WLn7l34fH+4E6Wqqmzbto2Pfexj/OIXv+CWW275g4/1Vlv/7YLL60WMvfTSS1x73XUYhkXRhbfgkxLx3rolFG54F5PP3yYeYE0HM0t68Awjv8q3wJBksMS5/WCIzFBkpDaBJZehF1UJz5OOvXmEjstLYNEWUr1HHa9728jOmpdETm0nuvNOrFTckcFXvUGn8rGNrBPYcvBbV0UTVv8JbIRYY07M0rIsYm1bxZ/l0JMZkGFXSS3+eeuJTA2hqqrojcuszbYs4mf3EFx8CXpRBbZtET30OFYijG/+JgILLyD03I9R3T4sG+z4lPjOnS+LbFrKuZiv8HnJbfSWaRA99jyYOf0vgciLHHiEyIGH0Ytr8M1d6xhHCSScDzubRC9vxIyM466aS+nbP0vizE4B0e3YB7ZF7NhzGJODkim/QpL1wIyHMUKDzj11ldWTnRoBK4sRHnWutzOBty2Kt3wEb90SAAfe7K5oYuqlX7wiiNkompvIgYeJHHoMLVjmAEFeuVxydhVYernQ5EqGhcR9bikq0RMvkJ0exr9wC7q/CDMZZnrHLwEoueSj6KV1RA48THrgFCVX/BHZ8R6S3Uek4+lL4jiajn/BZsG+t22h1i2thX1z1+f9XBJhAiuvJt72DCiQ7D4kqjEpYS8871WCSy8juPQyzFSM5Ln9YhYI6JXNYjY10kmq+4BUCU/Laz7N9I478DavwTd3LaruJnr0aSewKG6/AI9nkoDtwLhz7+Pow9/AmOhHDxSTls+meC8loCZX6aCQPLdPfK5tSTHLJIqikOwWkjV6eQNasJTsWA/GZL/4GYl2NMIj4t1duIVE58uY0Unndqhev1MpqWUN+OsWETvxAsnOg+Lc0wmZwIGqamzfto0VK1b8xnv/+66dO3fy/ve/nx/84Afccsstb5quWHl5OZqmMTo6OuvvR0dHHRTtG73eUsHl93Wj/F1D/5lramqKP/3TP8XICiZw9NDjpIc6CC6+BDVQxOSz/44xPYxv3kYK117P2MPfQC+pxVVWR+r8MQFHzGXbRhbfvHUY4VGyk0OiQLBM50W0LIvIgYeJH30Kf+smVN0lNljLEJwYIz3r3HTZ0/a3biQ9fh5jtMvhKSTP7SfZfRhvw3J8LXktqlSPgKkWXfABvI0rMCNjpAZOC2XhzpedSgYgeuw5rEwSb8Ny0T+XQSAzfl5m4QpaWT2qppPqPkiq+6Do8WOCZVGw+lr8C7egKIogEqo67sIyMukole/6MgDJ8yeIn3yBdN8JEZR/+Re4Kpvzas6AKVFihetuxN+6mejJ7cSPPUPZjV8k3X2EZM9hokeecjghqr8IX+tm4jJYCuteC1V3EVx2OcFlwrVx8PbPQjZJavCMk726KpoAsFNRtIJyPM2rSJzaLlwGZ27qso3CDJ7R9M47HUi3f9EWzPAo4f0PiFZRNoVeUIGZSWInw1R/9Htkx7pJSntkMyYCeujp7zqBLmcnDJA8uwtSMYIrr0YvKCN8+EnsxDTBlW8n1XNEBM0zuwRQxEiDolJ6+a24peKAq6SG9MApPLUL8M/fQNHmm8lOj5A4s5NY2zN4ahdKywBbyvErqN4CrEwCLVAspPUBV8NKgksvI972jMjApR+O6vJiG1mRwRtZLCODqruF/48UThXnUeu02FA0/PM3iQCn6cJrqPco0UOPEj38uHRrTeOumosRHsO2LaHqLFGNw3f8Be6a+RSsvwl3SS0qogLMkRRBQKizU0OATc0n/2NWpYNtgarja91E4uS2fLsVGz1YJio3QK1oQtd0MqNdQpvMNEB1obi9kuRqOxYPZjTk2BlYoQESCZEYlhQXc/LkCdLpND/4wQ948MEH+clPfsLq1av5z6y9e/fy3ve+l29961t89KMffVMFK91uN2vWrOHFF1/kxhtvBERS+uKLL/KZz3zmTfnMt1Rw+X3W71u5DAwMcObMGRoaGujq6aVww7tIdh/Ob6Ry+eZtoEhKfyi6G0XTKbn4I4Do0U/vu5/k2V24G5ahF1YIUpdlAOosJ0lVVfFUtRAHQf4KjzroGZFlP0t64DTeuWtnDSqTvceEGoCqSW6MhauiAVX3CD0uGVDECZkUrL0Bn9y49aIqgkVCwdaYHMBV3oDi8pAZaiczdFawmxVVODdqLgFm6D8pRC6nR/DVLaZo882YiTCx0zuIHX7cyXKjx54l1Xcc39z12IroNSuKlmeAA77GZfgalzHx+L+QHulCL64kGxogO94rtctAvLwr8bYILL0qqzHNV0jRBTdTdMHNWEaGyWd/RLrvmCNvL+gXJjO94mc9Bx4ftqqKVodUJ8iO95KTRnfXL5e/myMLqrmDUrjuJnzzNxI99iyJU9sovfrPMcOj0ojtmFApUFQUbwGB+RuIn94hsvQceU/OYTxzFmFvvpnIgYeIHXmKVN+JfKArb3RQhVYqRuHG9+Cfuw6AVP9JUr3HKNr4Hoo2vgcjMk6qt01k+hJ4Mbn957hkVWflZnMzNh9XcbVQl2h7RjoiJh1FAG/zaszoONZkQrDipctitq+N0buOOc+Su16AUGwJ9BDkVZux+78iglMqKvxwpLeLnU6S7D8BKGhVLY5XkaK7KbnsExTbFtmxHkEiPfoMircAd+0CstMj2Ok4ZjqOf9HFqJ4AiY49pLoPkR44RfUHv41tGtjZlEDf6W4UVXesh7HMWZWObZkM/ccn0UuqZ8wtbVw1rWSHO8hODTjzEt+cRQ6hEttG8RVgZzMCKWYaKJ6g0wqzkhGnI3DxxVt4+cBBdL+f48ePOUP7b3zjG3zjG9941fP4etfBgwd597vfzTe/+U0+/elP/5coIX/uc5/jIx/5CGvXrmX9+vV897vfJR6PO+ixN3r9twsurzVzsSyL9vZ2hoaGWL16tcBvWxbBFW+nYOXVmIkwic6DRPbcDSAY7L1HcUsIspOZISThg0svJ3l2F4qiCJhkZExULYrwj7CyKZGpNyxzAkZmrEcSMkFsaCpaYTlWOk704GNEDzziECatWAhXZbOwjI1Ngu5CLyin9IpPy2P1MrXzlxjSKjZ66DGibc843vCJ9j0YoT5889ZTuO4mFFXDyqbJDHcQPbkNc2pQDtOFyKWrah4VN/wNw7d/xkG7ZEP9xI48iaK7Kb7ow4KpPnCKdP8pJ0goHj9GfEp4t4ycy4MYQPT6FQW9sFJkkFIGJFeNpM63keo/geYvRg3m3EHzAUPV3XjmLBCaWyBscW1b+NoD6USYsYe/4VRErpIaMTPKJEn1HEErrKTk4o+ITXrglNDdOp3PuEGVHTCbgrU3OMrFWkC08PTCCnxNKwmueJu4R21biR15Et8MMU/hz57nPOWWoihogVIBoV50MWpBGcn2PXJWYDvXJ3F2F1Yyir91s7w+M57pwgqCy68Ug+azOym54tPCbbS3TYBH5Er3nxL+LjlLbnkNrWyKdM4TyBPEVVItBB0tCysZcxSzS9/+Z8TP7iLdexStqApPRRPZkS7sVAxbehphWwSXXemIVfoXbMZMiGw+1XtUasbZ6B6fkzzZ2bwIqLtqLu6quQJKrrvFkF4mYQVrbySwYDOJzpcFcRmwM0mGf/EZcgRWT/1SjPCoUJ7o2C+rK8VRNwDyPDDLEix/FLTSWvRAMVnEvEQrrsGcHsFORZ0Bf2DRRSR7j2IbacyolIDyBshKDgueAO6KJjIDp3j66ZwHzhu/jh49yo033siXv/xlPvOZz/yXSey/733vY3x8nK985SuMjIywcuVKtm7d+qYRN99SweX3bYv9tuCSzWZpa2sjnU6zadMm/H6/lHyxRbWhudD8RRQsv4LInrsp3PhutIIKZ8BuG2kMI0147714m1fjrprnPNBWfJrE4Bn5YNug6CiqRrrvhDOk1EtqACFUqPqLBbFrchDF7cZdPZfSy28VrorHXyB+Zge2kUKvaMJbt1gMGi0LdG0WidJd2UThmuuY3PoDyt7xOWdDTZ1vI7L3HpFhuzxoBZXYErqrujwCWuq0gvKs8+xoJ8O3/6kgf/afYnrvvcSPPYcaLKX0sk+iFwiiqbd+KdZ6k8mt38eYHsbOpESAU1QmHvlHFE9ADPWbxXDdNjJSat2PnU5QfsMXmHj0nyjafDPuyhaSvUdIdR927Gynd/0K/7wNeBtXogWKnblFevCs4DTMfC7cPszoBJGXHyCy/37BiYhNgm2ilzdSeunHUd0+9MIKvHWLsW2L0NYfYkwOOBm4U5EdeozY8edxV7XkeUszluoJOO0oVFVoTuUCSo5o99yPZPtruYBFy0usBYopWHUNhauuwcokmdp1F6lz+wksvoRk92Fix7ZKLpNUI0hGRTvLuTvi+L656/HP34htWWRGOwnvu4/smLScfknDU7tQQKRlazUzcAY0DXQ3mtuLlU5IPxYb39x1wld+cgBPzQLcFY2M9B5F8xc5cHnxmWvJTvRhpRMUrr9JXKujT6N6As48DM1FyRWfZurZH2BGJvLEWMtg+Ce3ogZKKL36s3jKG7BNE0W3BbhFPs/x09tJnj+GMd6DGigWCuLZlBywmygeP77m1UQOPCJ4P7nkxbYY+vmf4qlbjK9pJe4qoR4+07ZZD5Y6HjRaWSOB1o1E9j8gxVcNUDQUt8dJHt1zFpEZPIOVjDhyMp7qVuxsAlBIpVK/lcz9n1knTpzg+uuv5/Of/zyf+9zn/su9Wz7zmc+8aW2wV663VHD5fdZvCy6xWIwjR44QCATYuHGjw4OJRkVLIHr4SXzz1ksmtyLJY6rjQWKbWSae+Fcyw+2O3IfiCeCpXQiIzFVxeQiseJvwf5BZWvl1f0V6+Byx489JsTwFNVhKoHUjqZyuk6I6EGfV7adw7fV465cw/vA30AMlWJaBERkXL7qRJjveQ/zsbqGwK7XPQAz28+drMHrPF4UJlO4hdvRJYm1Po/qL0AsryQy3C1hqSS2ZkXMEV1+Ht2E50dPbSZ/bD9iY08PEc8zj+BSTL/4Eb8My/Au3oLp9hLb+ADM86jgAlr79z4gef56s9HNPtO8VQ/0ZK7D6emL77pVVixAAdFfPxV09l6KN7yFy9Gmi+x8gM9pDZvAs8Etc5Y1Crw2bzGiXcCWMhSQyqQtXaR0VN30JMxkldvx5kt0HyQVMY3KAiWe+j7dhKf4FW1C9fiaf/RHG5ACBxZeKucbAScI7f0XxxR/FtkxSPYeF5pbM/OOntuFv3TwL5gxgRiYc1Wc0N4q/EFsSMHOINlfVXNFKkZVhbqluH56KJlJdByje8kGKLrwFY3JAVCOHnwTLYOSOP8dV1ZLXLpshuS8eGxVPTSsFK97O5HM/wtO4EiPUT3rwtMOMFy+FTuV7/p7xh74uTOXa94jnTdHQiyrJSMQVuo6dkcN9IyPahZYFngLxczkmPoiqVgEjMuE81+huYS6G2NgVlxc7m5JuliewYhNMPPR1AksvF5V4NgmKQnD5lYBN/OwejPEeZ0YTP7MTgNJr/lLMUkbOCfFPuYT+2EFZvTBLOkleKIou+ADh3XdhTA46cxYzdJ7I/gHnGVQLyrASYZKdB0VwkfyYzOAZAQaQoAA7myAzfA6v18Pu3bsJBAJUVFRQXl5OUVHRfzoQnD59mmuvvZbPfvazfOELX/gfYwr229ZbLrj8LjdKEG2xVw70x8fHOXbsGA0NDcyfP3/WTaupEdVE9MiTRA8/jlZQjm/uulkkSBCERM+chWRGOwksv4pkxz6sxHQeFgt4520UEGXbBiOTZwnXzMdTM59sqJ+x+7+Cq1TAenM8FzuTwpgeJjPald/AZAvNSidIndgGloGnbjHp/lOYsSmmt/+cnPaZq0wIeM6saBRNF+gyoOqWfyE73ivkUboOicDi9hNYeEG+dWEZuMpqMYbPidbHirfja17N+JPfxlVah7d+CcnuQ/nhsiK4CZ6GZYJrMtKJr3kVvuZVAGQm+ph49J+wbRXV7QcUoRaQu3ey5Wa/Yl6iBURbrOKGv0Fx+4m1PSNEF6WLpKu8CW/DEqJtz8qhs+G07wTh9J0UbXgngz/7Izw1rbjKGkh1HyZxegeJ0zvlWMXG17qZglVXi9+TCDYtUIK3cbkAYGSSTO35Namzu4VKwMltDqQ858GTHjglAodlovkLqf7gt5z5SPjAI5BNCndLAEUlPXIOz1gPropGcY/tfMBRFAVXWb1AW42fJ9V7FF/rJtJ9Jx0JoBy5NTPUjrt6noMSzM25FJcbMxnJF6K5ZyFQSvLcy87cAlVD9RdjpWOYySjpQeF2OXzX3+BvFuim7HivaHHpbjS3BzM+JZBSqpYf9ts2ya4DKLoXX+smsiPn8kHN5cM3b70wZBs6myfe2jbx43kdtqILPoivcRmxU9scuLHqLRAzRvk7vsbl+BqXAyKYjd7zBRRvgaiiLQvFVyRQZraYdeYg5GphpWNbbMYmnSDhrlsqhVMVoX49cBrLNCQSTBHaZbLNjOrCU7eEVPchMkPtFBYWcexYGyUlJUxMTDAxMUFbWxsgEFfl5eWUlZXhcrl4Pau9vZ1rr72WT33qU3z1q1/9Hx9Y4C0YXF5rzaxcZrpULlmyhNra2lf9fFNTEwAVN/0tqb7jJDpfFq0J2yZ2/DnM+BS+5jV45iySPWKLZPserGQE3/yNuGsXkew+SGa4k+SZHSRnZKdmIvwKTkzOu8UgNXBawm4B28CQEjCqtwBfy1r0sjpAuPIpuoviS2/FUzWXsUf/CS1YSvFFHyZ2bKtjDgYwvftu/PM3CqHL8gaBQjMNIYxX2Yy7spnC9e9k6Gd/guoJoGiuPNt8rI/hO/4SzCxFF3zAAQWougfVG6Bw/TspXP9OjMgYyZ6jRPbei15Sg7u8QRo5zd7R3OUNwlslEcY/f6N0LoTo/vsBmHxeENNix5/DSkXxNa3GVdWMKjkh2Bau4ipKLvkoAJFjzxHdew/ehiV5FnkqBoqGnUliZZJC6VcuBQW9oJyije+maOO7McJjYtPfey8AyY69pLoPiw29ulX+Vv47qG4f3qp5pM7upvydf0d2tFvCnF8BKV9yMYmT2/O/FywTsPRsksDiS9BLaokcfhI7FSE9eIbxvuOo3gK8LauxswKybqUTeZFL8eCCqjkOmFYqRuz480SPPQumzcTj/4zi8uJtXIG3aZWDsEp1HpRKEjbumgWUXPZxoY93vo3okSfJEYEDC7eQHjqLlYqI72PbYrA+1jPDf0ah8j1fY/zBf8DOpkT7yLbBMhm77+8cZWLVE6T8ur9GdXuZ3DbgfAVv44p8oZZNCRmW/pN4G5aT6jvmVIWxY8+QaBcaX1qhaGcqqkbq/HEnuZt8/j8IrrgKd2Wz4D0pKqrLLY3FbBQguP4movvuo+TKT6MXVRE78Tzp/pOOFp0aKMVVWivelwHJSZIt49z1c89ZRHa0Cysdl3NI0MvrHdRgIBDk2LE2R2erpqaGmpoabNsmHA4zPj5OT08PJ0+epKioyKlqXsuauKuri2uvvZZbbrmFb3zjG/+/CCzw3zS4ZLNZTNPk1KlThEIh1q9fT1FR0W/8eUddWVUpXHcjhetuFDIrP/9jwQlo30Pi9A4U3YPiLwIEnDMHnQXw1S3Cti2m99wr2O6qGOyakXHBialowtey1jGryox1g5FG8RVipxOovgJUXxGBhRcQP7ubePsuUdXk3BRrFqDJWYciuRnu8gZKL78VgOz0CGP3fBEzOjHDMrfY6ZfnZi25pWhCcSAzfl4EJkXFGMq3UcL7HxAkxnmygptREemFlQSXX0lk772gaFiWJVjQKIzc9df4mtcQWPV2dH+xQI+ZpkQkiQGt6ivASsYclrkVn5rF49Gln33eGEveV4kisy1LIK4sA3SPQN5NDzP8i8/imbNQDPUbV4qfnVHh6kWVBFdcRXjfvRSsuQG9qEqYmfUdF3pSIIbUmgtPTesM6X5QNd2BOdu2TeTgo8QOP45v7jrH9ArbwpRSPlZ0goLV1zqq1am+E6QHT1P7iR+RHu4gcVYw9HOKAMO/+Czu2gX4mlZJiLadFxhFAEcK199EdnqEVNdBii/7FIkzO0n2tjl2CeLGqvgXbhFS8KqKXlhJ8UUfAj4kfHV+9seohRWo3oATKBTdTdk7/hK9oIzYmV150rCqETv2HLZlYKfSEqo+w1Ezd388QeKdB0j3n5AKz6UyQKikB4TasF5ah15cLSylz7eh6C5sIyOMyeJTmNEJFJcXX8taJ6HDMnGVNYCqkuzcT7JzP67aRVTe8Hkhzx8PY4bHUNw+rHSM6L77xLsV6sM/b70TmOOdB5l+/kd4G5Y6wpaqvwjVG8SYHiHZeVDcB82Fp6pFvA+WmNUZE+fBzJDqP4Wm6Rw/fuw3CjgqikJxcTHFxcXMnz+fZDLpVDVdXV243W4n0OTk83Ort7eXa6+9lne+851861vfel0W7f/d11suuLxWW0zTNGKxGAcOCOz+pk2bfufgLQchzJG9QMisKLoLX8taii7+KOmew8RObhOmWOIsiJ54gcxEH4Ell6IVVBDeeSfpwdN45iyi6IIPYCWmSXQeJNl9iOx4r0ATOZyYNAVrbyQ7NUSq+5Bos9imUK5ddgWWZRE9/hyxffeh+gpJ9x0n3XdCDMNNQ/jMz1h6UAQeV8kctLJaUucOOCQ5QFoGr8LXvBpP/VIhtJkMY8YmpVfLR4kef4Fkxx6KtnzIIeLlkEhm2CXk+ucsRtFdcu4ggk781DbIZvDNXUtm/Dyx488SO/6ckFc3MmCksY2Uo/TsmbOQ7OQQxmQ+y81lsVYq5kiLTDzxbel8uVpmweKlS5x72SHead4gVjaF4vIKDamhdtn/vxMUDWNqiGyoH720bkY2qKC6/fhbN+Fv3YRtZomd2UVk169I9hwh2XUQxeXB27jSIanOXIqiOIKSiqKQmehzkHwjd/y5IK6qGsmeI9i24CnlPldozC2WoAKb8P77ibdtRSsoJzPSRWbwrJBMkfO+WW3S3HVSVQILNhNYIBKb9GgX07vuwhjvxb/kYlTHynn2JqW6vGK+oOkCmi6H296561FdPmIntxE7tjUvbyMtpcU8Q/CxFN2NbWSo+eSPSQ+eIdXbRqrnCPGjT4Ki4q5diOoNYMYmhUyQTCj0wvIZ/BcV3/yNQhdPUR2irxosFZWOVB3wtV5A0bobSA2cYnqneHeyQ2cYvO0TYFuCI1PTSullnyQ1eIbpHXeAbWOGx2d/b3nbrXTcsVD2z98gZmqW5bT6FN0tXCgtE9w+giuvYfqFH2OEBggGCzh+/NjvjZry+XzU19dTX1+PaZpMTk4yMTHBmTNnyGQyjI2NMTQ0xObNm/nkJz/J1Vdfzfe+973/XwUWeAsGl9damUyGiYkJqqurWbJkyaws4TetxkaxUYSe/A6exuX4WtbibVwuh+xpx6feN3cd07vuJn7yBSHv3nfc8U7J8SPccxZTfNGHhW1wURWFa67FVVYnlFQ1D4rLLSx0gdixrXnNMlV/FScm0LKW2L77hPx/RTOp3iMkuw9LXaNhxh76B3GuzasdlWIzESY7OQCKgqduOen+46CouErrZsng57JOd3UrJZd8FEXT0SQE2Fu/hODSyyi++GNkRjqZePLbmPEpQk9/F0Vz42lcJs3MEHBWRaP44o/grRP6SUY0RHrgFPEzO/IkREXDlAEh2XsCjKRzzfTyBozJQVRvkOILPkCi9xipc3vRS2qEa2DvUUBBlbBgKz6Zb19YJnY6jhYspeztnxWfHxkn2vYMiVMvkRnpFJwMKd3va1olr3A+OVE0Fx6pxVVy5Z+IQfaZl0j2tgnCIoJA6ZPINUeOBgGJNuQwXPEXYWfEz/sXbiHVc8QBUYhZyez2lyCfFoKi4m1YSqJjf94cTgZb0SYNCvXrJmkv/Yqg4amaS3DJpUy/9AsU3YMpg0ZmtEugGptW4a6e50B5rVSUZOdBMU9xB6W9wG5ASKTk3CtFdZKTSzHRS+eg+YtID5wWttRNK/E1rcS++MNE9j9I7NizeKrnChsAwE5GHIizZWRIdx4AFGGFLKHS5vQwenGN8BxSVMmgFy1B28gQO7NTOJd6AlipGHpZgyN+iaLgb91MaqhDKBZILb5U1wFG7x/C17Qab9MKx5Y81X0kbzKmqBI+beOuW4wx0SesoQfPiJltJsn0Cz8W74PPT1vb0T8YjqtpGhUVFVRUCM24WCzGY489xv3338/f//3fU1xcTFlZGQcOHGDdunWvuV/9T1r/rYLL0NAQfX19+Hw+li1b9nv1LhctWsQDDzzAj3/8Y/buf5mp7kNiM7AtjMjEbMkSOcj1L7qYgjXXYSYipM63CQSLZZIZPM3oA1/BXVonBpyTQyTOvIReXEPJJR9z4J3pobMkeg6THRawW+FuqTL5/G34WtbgaVjmzA9s00AvLCe4/CqCy69ictevSJ7chjE15Ax69SIpvJiUKq11S8lISC9AxU3C2jg1cIrY8edJ950QbbGRDsYe+gfclc1CpoQ8KEBRVTy1rUKeXNUoWn8T8ZMvCs217sMOxNNVWjtrXqAXlJFIRrCSMVwVjfjmrhfaWzmxQyOvvaaX1gtJj5IaSi79BJpPyL+nzu2laNP78NYtJhPqJ9a2VcxsFAV3wzI8ZfWC3JerzmaAAvTCCkou+jDZsV6y08O4yxvIjPcSP7lNSPcrKomuQ6iBYqFO4PbhDNVVFX/rRgKy2pg+8Ajxw4+TnRwks/vXhHffjV5S6/jRGBN9og2UiOAqrkGTHJbiiz4EF32Y7MR5QX488hRYpmx/tc5o3YkgJ9BbMoMvrsGaHhGOhxvfS6JjD4lz+/OoO0UlfvolwfLPQaVlRWxMDZOWNtR2NuVYaSsur6OIYCWjqP4iyq/7axTNxfTOO+UQXsHXstZ5hooueD/xU9tFhamoeBtX5IfcM5aiqOK9kJp3OQ96rWSO8KuZHBBQaKkNp3p9Dm9EcfnxNi4nNj2MMS28adw1rQK2LonMisuHb94G4idfdBSh5eMjqhVFBZcbX/0ygRzzBDCmRx2AjhNQdDf+BZtJnNklWmHJCCgqHqkxhmWyfv16XnzxRaanp/nhD3/IY489xmOPPeaAfv6zS1EUCgoKuPLKK/nOd77Du971Lq6//nqefvpprrnmGq699lruvPPO1z7Q/5D1lgsuvylg2LZNR0cH/f39NDU1MTk5+bqGYtdddx3XXXcdX/jCF/jud7+LeOltsmPdQrKkaq7gA8gNIPf/mr+QwKKLmN51N4ElF+GZs0iw/HvbyOy+m5wdsrdpFYpbiBGqHr8QyxsXTncFK95O9NR2yCRJnZc9dFXDLSHOM0mbALqvCFQN/6KLiJ/aCWZaGCnNkHbJ9J+UmmcC0WXbFoqi4q1bgrduCUM/+2PHfz3ZfVhsLrKaiZ/chn/hhbgqmlAURagb2xa+5tVOxZIZ6xFZta+IbGiAyed+BLobd1kdlnTs9DQsp3jzzQIePXet5M2cILz3Pue7GFODgI0RGWd65y/xzd2AKmdLue/iLqun9PJPkejYy9SLP8VVVIVtZLGlajKqhpWIzGrbyQdFtIYs02m9yIeF7HgvU8/fJls5C3BXtjj/NnO5ZJVSccMXULxB4seelSx9AXdVC8vxz9vgeM7PXKJ91oS7oonsRB+p3ja8LWtJD54mM9hOePfdjpmXbWSFj3vXQQLz1pMe6SQ71j1LzibZd4KpF3+CnY472mJ6WQO+ljUOyip9vs3R83JVzxezsGwSO5sSumIAmoviyz6BqruZ3nNPHvFmZlFU1eGshI88CfEpRzvPtm0yYz2gKAzf8Wd45iwmuPwqIaYqATRCs0zO1tyeGdW4jbdpFameI5jhcWf2oZnB/OMAAK87SURBVJXW5tGCUl2icN2N4tmIhhi966/Qiyoc4U87k3CEMYMr345eUit9b5qd+655AsIgbMZxAbxNq+Tn2pixEFpRNVZ8isxYD3YmiaqqvPjii6iqSmlpKV/5ylf4yle+8qr7+p9dExMTXHfddaxYsYK7774bXdf54Ac/iGEYTE1NvfYB/gett1xweeXKZrMcP36ceDzOxo0bSSQSjI+Pv/YvzliWZXHNNdfw0ksviU1x03sZf/JfUXQ37pr5pM+fILL3PnKZZuzE8wQWXIBeVi82YMmLybXPbNMg9NR3SQ+eQvUGiB19itixrWiBEvSSOUIp2eOn9JJPCwXmkXNkQ/3UfuJHeZOtoXZQFKZ3/opE+14hC9MsZWEsi/ipl8C2KL7wg7gqm0UPvP+kqFgsc5YwZbLzIN7G5Xk0laIITo60SrayaaLHnyd24CFht3tqG6qvCN/cNViZlPNy55a7slnwE5ZeRmDp5ULWpOeIqC4sAUQwo+PE2/fib92IqrsxE8K4S3bD0MvqMaZH8FQvRA2UkOo9QuTlB8hVEdmJfjy1CxxVg1w7yM4kSfS2iQ1N08E0sDIJQk9/V5iZNSzH1yxaSHYmQWa0C8+cxRRtfh/pobOE995H4fqbcFfPF9yjwTNkpM1tZP/9woStebWEd+cTFD1YStEF7xcZfW5IPGexkEQ3sjNsccXsyCFP5pamU3bVHwNgxCaJH3uO+NmdYNtCJXnGHE2R92jm8jUsI14pBs4V7/57Yse2ChmVQ485KDDFGxDw35PbBDQ3m8TbtEqiw84IJePIBJNPfoec0KOrvFHOG7pIj3Tm5fTjUwhYL2CZJE6/hJ1J4V94AdnQIMnOAyIR0j2CZ2VZQkZGVfOk2fPHAQV30yqnujUjYw4kWNXUWR4udiaJEQ2hF5Tln1VVk1BpUDxBXOUNwhPJ7cvPvlSdzES/c/zc8rRuEpwt2ybVdYCcIkTBhneT7juOGRkTsxegtLT0TZ95TE5Oct111zF//nzuuuuuWZ5Tuq5TUVHxpn7+W229pYNLPB7nyJEj+Hw+Nm3ahMvlIpPJvG7J/camZsbHRnHLYbyiqoLFrqiUXvoJAIzENOHd95Lqepn4iReIH38OLVgqggn2KzgxOlpxJQyeouqD3yIbGhCbb9cBKWEiPLQT3YcIeAPSoEgEg1kmWz/+OHrZHIzIGJG99wmElpZzX7QpueLTeKQYY448ObXjTtI5qCWAojL1wm2O74ivZa10HswHH9Xlwd+ymtiBh9BrF2AnophTA04Am9Wyq1/qtJJsy0T1+PHP34B//gZiJ7cT3nUn3qZVZEbO5YmbvkLRhlA1fPM3kuzYh+LyoagqemktxRfegm2ZZEY6iZ3dTapjL5H99xM9+Kgz48kBLhLnXnYY1cFlVwr59+4jJM/uxAj1k+o9OktvzTd/E0Xrb5KmYzlkle1wjwBSQ2cJPfbPmMnoLLRdzufllQASNccvsS2Sp3eI+5lJSO4EjNzxF7ir5uJtWS3nPLPRXyJQ3YzqDRI59CiqN0h6tBsUVahXqyq2mSV+dhfehhVo/hzLXwQRV3FVXt8uk2Lyhf8gfb4N/8ItTpVmTA7gm7+JwnU3oCgqrrI6gsuuxIhPM/nsv4v2l6bjqV/iuGVmhtqdgb5/yeUkzmx3khQ7k6TwgpvxN4nq1UonSA+3C7fO8V5ysxL//E0kzu0XMj/SQ0j3BfNqz+4A3pbVJM/uIjPa68zlFI9fmKkdf07orC24QHyPqRFhZIcQ6Mx52VvJuPMMZyfOyzZXXhkZbNKdB1E0FwVrbyATEgRVskmiBx6SeaIt+D6J8H9avfi1Vjgc5sYbb6S+vp577733dfNg/ieut1xwybW7JiYmOHbsGHPmzGHBggXO379eyf3csQAyg2cYu//LuIqrsbLpWYgb3V9M4bobSHW9jF7TimJmyI71ipaIbYt+r6IKRFbdory+k2ngqZ6Hp3oehRvfw9BPb8VVmrNK3iuGp4oKtjlrvgOAquKfu56CNddhJKaJH91K7OSLgA2mwdQLP0EvqhQ9/HnrmHrhJxiTAw4cVC+pw5gSmlGJ9l0STSUUj9ODZ4gefQZfy2r0oioHgWaHxzDjU6j+IvyLLyXRsR8rMkKy66DTsvPMWQTYedmT3L2RmVjh2uuFedp4L6meo8Tb94CiEFhwgeOa6WwCsn2hqBqe2gXoJbWMtO9GK6rCNrMCNNE9Q5zTzOKpXyo2RNtCC5ZSuPwKCpdfQWaij/EHvopWXIsZHnbuS3L4HKRiYt6jaq8iGWp+MbsoueSjeOqWEj+1jcS5/WSGxNxq4tF/EmCP5tV4G5Y7v5c897Jjk+uunk966CzJrkNkx3vIjHaSGe0isu9+HKvgYam55mTI4kTSo11khtrF7ExRHdmS6e23A8LP3de8WvAxXlHRqG4v3rpFpPuOOei13Er3nyCcTeJfeJFoWVoW4Z13isAijeFAmqTZoBVW4q5oJNl1kETXwbwigASBRPbcS2boHMWb34fq8aMFysiGpEaaouCtWyICoeTpFF/wfqZ33klm/LyA9QLe+sV5K2Qzg7tqrkDFVbTI4GwT2f+AcNoE7GwSb/MaUj3CXC2nFRY/s0MAShCCkt6WtRRtfDfRI0/NmE8plFx+K+7yBvxz12GvuxEzMsbkttuxElOAgq91E/G2rXlKwpuwotEoN910E2VlZTz44IOv28jwf+p6ywWXHDHy3LlzLF68mDlz5sz699cjuZ9bqqbjXXKZZKEfJtl92HEbnN71K7zNawT3IefZnophRMdlj14S+rBJdOwlcUZyYiS6yU7HQTLlc+0zd00rxRe8P2+VfOARyCSkJH0Lvrlr8TWvYSbHRPcXC4XgTJLE2Z2UXfMXpM4fJ9l9kOiRJ4geFbL0nrrFqP4ioSAgN393RZPDnM9ODTP+yD9ixacdLS69uBpPraiWzFhIuEZe8nE0XwHBBZvFJj/UTnjXXWCZTishdvRp0oNnhPNl02opyY8z43FXtoh5hqIKHSpvwEHvGOFRbMskOzlEdnoEV7HwjHA2Xk3Hik6AbUtjp17nWqdHzonWyysrCtlKKVp/E96mlWSGO4h3vkzyzC5yGyC2TbTtGYzoBL6mVXjqFuX3a1ts1gWrrqFg1TXE2/cwve1n6MVVpPuOOxpxigQ/YJkUX/JRp9L0z12Hf+460mM9TL34EwehlVPJnng0p7km0F+W1M3KDLbjrp5L8cUfRdXdhJ79d8zYJOU3fIHosa2k+44TOfAQOcHP6T334GtahbtmPoqqyeugkB48S3ZMDNT9Cy7EiIxJKZo2EUgURcix1C0WBF7LItV3QlYVCv556zCk9TKpiFCEGDiNb+56IaljGqR6DjM22o1eVkem/wSKy4saLBVOkaqGkRu6u/0iQAHGxPk8xNkWvB8ArawevXQOmdEuMgMnpcOkIDRmx3pBUdBL5uBfcAGpnsMCzi+BJBgpZ/alFVVTuOY6EudeJnF2d37+aJlM7/oVnjmLCCzcgl5YQfTYszKwIBSQU1HAJpOZMZd7A1c8Hufd7343fr+fRx555E3RI/vvut5yweX8+fP09PSwbt263+hNreu6Yw36+w71NUkq9DauwNu4guKLP8LYQ1/HmDhP/PRO4ie3obi8eOqFWZQxOQCqhquyiexYD6q/GFfpHErf8TnSPUeInXzRQWuN3vu3QlCvZS3eppWiGnqFVbIRHiN+4nl88zeSHjhDZP8DIuNVNWFFPN4reuOK4gQ4d00r3sYVFG25hex4L6FnfiDIlZXNwncDsGRmZ88yBqvBU9tKqv8kvgWbSZ7ZjTE9km9bKMIqINl9GP+Czai6GzubJXrwEafK0IKlmPFpyaieIvLyQ0T2Pwhu6as+NSTk/WeoIgsobly0tVAEux7IDLczds8X0YqqRNtNQprNqSFQNEou+RieOQtFIBrvJTVwWmbVJolTL2HGJkVFMYMLA7ZoTRZViapHEmStZIR4x37sVFTI2Jx+CUVz46qZ96rrJK6FeH6KL/m44NGMdhE79lx+TmBbhHffTbykFv+8jXiaVpId6WRqxy/ETO3yT6MVlhN67scYU0MUXfAhEmd3kTh3QGyCuY9x+wiuuNpx5UQ6gbpKaym99OPiXqYSTDz1HbJjXcRPvkj8+HMOCiynS5cd63b0vPytm/DULcZKxYSfT9chUr1H0Evn4K5sliKUcax0XIAATCGjk5EVhl67GL24RihId74sroWioAZKsE1DuHOi4F+wmczwOUxEYpJzhlTcPmeWpQRK8VbPJdl1kFT/CZAgFVdRZd5a2uXD17SSRPseVH8xntqFpAZOYUwNMrn1+/JKqf8fe+cdZkdZ9v/PzOl9e8tmk90km957gJDQIYQkgIAKShNQQEV8xQqvWF8LRaQJUhQQQgo1kADpvW6SzWb7Znezve/pZWZ+fzxzZndBBQQ1/uS+Li+TcM7MnDlznvu57/tbsI+YQuRECY4x88FiJ1y7H6WvlfZVPwZNQ3L6sHgFb8gzc6ngLlXtJly121CttmQVCTCJkiBUtRurzfapyOS/P0KhEFdccQWSJPHaa6/hdDo//E3/RXHKJZf8/HwyMjL+5g4giRNXFGXIwOzvhckkDzHrkmQTZl82ia5Gcr/yOOHq3YSObdIHlJD0sVf8ncRB4PLjSU7MLByjZhE8vo3ezU9hzS4i1lot4L9IIMvEe5tJ9HcanImk8KRvwecxOb0kQv0ED79FoGQ90eZyOlb9GNmVgqNotpE4DMiwXiGYXClC3FLTDKtVTDZQovS89wSO0XNwFM7A5E7TTcpUwhU7DZSOEg0QOvoe1txiEr2tBErWETj8tmDUR0KgKTiKZhFpOGKw5+3DJ5JyxjW6YOQGghU70OIRet57gr4dL2IvmikQZpoKmhAmTO6+JXcaFneaQUxV3u8AqWnYR0w2DL4k2SRaKF2NEI8i2nJCaTlSux8kGUumUEBQY2GibTV0vvp/SO8z1nJPPle4Iu59hXhzGZoSI3ayDJDoee8PBI9tEm3GwukMDPRFhWTLHoXtvK/St2c1gYNvkLLwS0RbKoWszK4XYddKQBXqwGd9xeAfmawOFFnGPXER7omLAOHZ0r3+EbS48HzvXv8QktmGJWM4Sjgw6NwiZLsTe8Ek4p0nsE88m0jpuwMoMH0uBoPQhXoFKNvdItEMG0friYPIVqewjtCfH0tWoUDQdTYSrt5nOC3a0rIH2p6ainPs6YQqdyNbHCSCSSixDdnqMBBf8Y5khRLGZLGRTNXOMXMHBu3xAUKtGuozFK4tOcVGMpdtLtLOFZYSSthP366VhCu2Y82fYPxWrDmjcE86G23hNSS6m/AffINw9R6co+cYemJJxQ0l2EOk/gj9e9egJWRB5O1qBCWKw+HkwIH9Bt/t04pIJMLnP/95IpEI69ev19XXP4vBccollw8bhCWTSyKR+MjJJRoJo1buRo0E9QpjqpiZaCqSpuIqXoCreAGaptH82PXIvmxkiw0lqXEVC6FI8pCZidGimX+lvig2ESh5i3DVLmLNlbQ9/z+Y0/JxjJqNGhW7tySJzuz04pt/JdHGMuL9HVgyhhNvEzvWZPXQt+MFHKPmYB8+0TAxQ1UI1x4wJMIldypaXyvx7pPEtlcJnkZ6AUo0YEA0U8+6AVtuMYlQP6Gj7+GasAjH6Dk6fPaQYGlrCZzFC4T0fYOEGuwRCXWIYORluMadQdsLd2HyZaPGQkZ1IC5GRpJNZF52Nx2rfqyLXVYhWWx4pl2Iv2wbWlAIB4KGZLaJ4Xz9YWS7B1v+eAFnrjuAyZOBGgsJ+fsk6U9TibfXCITd5qcxFmeLTehLmcxYdYHPcP1h4s0690KD1HNuJnB8M/HmSmItVcRaqujb+RewiQUh0dduVI6Dw144E9fExWIn31pFz5Znxb1X4nSte8C4bjUR5f3Jwj58EpYMQQrM+vzPidYfGYA5K3GQTfRuf0FIyCflaDQNVI3IsY2gqbinXYQkywSr9w7YV+uhBPuGVO/JBKAB4Zr9IgnpigGRhlLQVFEFFs8nXLkLLZEgXHcAkJDT88VzrakkegThVVMFkTHe02y4PJp82ch2N/H2WhI9zciuFNRgr7AHbxbimJb88ZjtbjGXaq02WmEmi5lYq5DhSYR6ibbVYMseZVh/hyu2I1vtwnsFCNcfwTl6PrLdiSU9XzwH1XsFnPp9LH2TKxXXhDMFb8ffKVBtSgIkiZUrX8Lj8Rh+M59GRKNRrr76anp7e9mwYQNer/fD3/RfGKdccvmwkGUZSZI+1lA/xeejxx8aYIRLMpJN8FKUQLexA5UkCUwWJE0l0dum944ltFgYJRYeMjNJKhInUWTW9GGknX0j7f1txFurMflySPQ04d/fbCSMwKF1OIoXYM0uEuQ0swXQRItIVbCNmkOsuRIt3CtmQ3qpby+YghLqQ4tHUPoigsnc1YAsSShAxsXfRnZ4CRx+i3DdIbTgAJ4+cHg9iUCP0fITjpJC4sSaOQLZ4aVv258xuVJQY5EhQ/xEbyuJvnbj/iR3y5LNjRbsFQP31Dxx/ZqKFo/Q8covRJWYiCI7vKSd/RXMvmw0TcO//1UyLr+HzlX/i++Mq7FmjhQJrma/+KxImHy5OIqmESrfgRYLE67ag9mXTepZNxDvaqJ367NY88YRa67E5MvA5EoVagr1h5HMNmSHB8XficmTgcmdSqyl2kC7KfEYna/8TLDuZTNEAyBJ9LzzKH3bnx+oaN6neyaZzNiGjceaPYpwXxtZV9xL+IQAIojrxtDqshdOx+xNQk7FHMhkd+McuwDn2AVoiTid6+4n1nSc4LGNBI++Y4hUxkN9gAqqhm/+lTiKZgIIOHk0SLj+MP59r4hrfvcx+na9aLRjkyTZePsJUOPCs17X+BLVioZn7ucwu1IIV+4S1se6za/Z6RUVs14hOYvnC6BHLEyk7pAuC5PAXjhdMOE1sBVMFvO5YC+hyl2GpIw1bdiAz4vNTcpZN9Dz1oNEWyrRdIKnGu6nc81PQZLJ/uKvjSor1lptyBrFGo7Q8vStYHEw7MZHdAsBiXD1gPRR11u/wzX5XOz5YiamKTHRTq3aBWgsPGMh2dnZHD16FFVVSU9PJzMzk/T0dKzWJCrz40U8Hufaa6+lubmZ9957758KFPhPj/+45AIf7kb5/nC73QRsmWQu/y6x9jr8JW8TOSH66m0v3KUnjNnCr95kQQ32Eu5rM8T8hEik+HFFG44IeXS9qglV7dYFGYW+laRDidPO+Qrm1GFEGo7Qf/ANlM4GMd85tslQRk6E/RCPoMYlvHMvEx4XVbvw711L1uX3kPB3Ejz6LtGTx4x2SHIhSXQ1oPQOzFzM3gxSzriGlDOuofWF7wkUzoiphGsP4N+7Gv/eNYAY+GtK3OCXJAUvE6E+4fwnmzA5UlACPaICe+EuzLrdrkUnIyY66kA2kbr4Bmx5Y8XOvq2GyMljhAcjv5AI1x3ENW4Qz8PoRKlY0vOxpOcbvfPutx/CmjXCmOWokQDmzBGkLRJmYJJZtEpd484Qc5/UYaRf+HXUaFCAH+oOEqk7gGR14hg1ewjjXFUTdK79KYmuRtxTzsc16SyCxzYTOPwWrolnE22rIlixjWDZgAJy5MRBIV6pb0SSkZTO9868BCXYQ/van6P6u+jb+SJ9O/8i7lfRTGEb/L5qSDJbsGYVEmupwjHpbMJlm0T7q2bfADHQZCbSVIbJnY41a6S4fiUhYMxgPHtqsHdAmSB5f9U4vjOuEaoBSnyQfTH497xsbKpQ4qSceR29m/+IFgkSakpaASOSiaaCmsDky8aUkkvsZBnRhqNG+8uaUaC3vMTmyzX5XIJHNpDo79D134BogJ71D4vDhv24Ji7GM+1Cgse34T/4Omgqbat/jE1vaaqhXh063Iu9aLZg8cfDND16A5LdZVRfIMQyDV8dk0WoBQR6xLxHf6YLCgqYOFGobPf399PR0UF9fT3Hjh37WKrGyUgkEtxwww3U1NSwadMm0tPTP/Q9/81xyiWXT+pG+dfCbrejhXQHuqxC0s/7Kv7Db9O/8yXshTOItdbQv3sl/bsG2OWyM0Uw3Ct3IpmsaErcGL4mQr3073uNcNkmQuXbCR3fanBikvLeWiIu+CWjZmNJyaF95d2kL/sfEp0nCZZvG6KMLJmtJPo6SIT9yDp8VFPihmc4QMdrvybWXIklbZgho5/0tVAGVSqALj4JqYuuI2Xhl4m1VQstrCPvEDj0JsGj7wpwQ9EMo1IJV+xCttpJPesrWNLyaHv5Hqw5o7Gk5ROu2ScWK52HIRj9sw0VaMlkxpY3lmhL5YBcvdmGZLURPLaJYNlmY/FLzpQGS7oAuieM+PdYR72hspzobKTzjd8KDo9uT2ywvvVFVra5DKHKlme+CbKMJMvEuk8CGu2r7iXR14oWC+OeegHuSWcBGFYJznELSFl4NaqqEq07SO/Ov6AGe+nd8iy9W/+ENWfMQLJ4X5hcqVhScohFg2Rd9XOd5X8A/6F1RiXQs+UZgVxLKgzoKMTI8S2QiOOdvRxNE55DksmMNauQaOMxMcczW4U+l14d2vInGp4qjlGzCZ84LLgkOljB5M1GQNljYpiuy7JgcUA8oqO1JGRPBvHOE4Du7ZLM+iYTsY4T4nWyCfeMpUKbTImR6G4SemJ9baixsGEuZkrJMVqo0RMlyM4UvHM/R/TkMcJVQhIf3UcpWLVL2APow3dJNuvweTCl52NxpxOp7xWJRUeFmdPzDMtrQEglTT4HNR4R886TZYQbjhgcIGfxAkLl24wBuyRJ+Hw+fD4fo0ePJhKJ0NnZSUdHBzU1NdhstiGqxn+tfaYoCrfccgtlZWVs3Ljxv44Q+Y/EKZdcPkp8HDiyoiiEw2GUYB+xtlpdhVZC1uVavLOXY0kfPsAzOfqO8EMfdxpK2K8fRRvinW52ppB62lWEyzZhSslDtliIt9fpnBh9+NnVKAyfdEVWAEnVDMkPVVVpffp2w/QrVL6VUMU2MaRHkNqGfGaHB8kko8YGSX2A3tZ5jP69a0X1VTgdSTYZZLSkm6Ett5jA4fU4Rs9FCfcTrj9MuGbQcdDwzr9ywOhM50n45l+Bb/4VqPEIfftfJ1SyDkwWwtV7CNfsQ3b6sBdMJtHXTqy5HHNqLoq/C8nmIucL/0e8p0V46Bx4A4CedQ8AEn27VxFrrxOijfkTjYF1rOMEim5wJjm8eKacS7hmvzifTpKMtVSiKQnUaAA1HhWE2EH3AyBYvh0t7MfkTjMGwACBI+sJVmzHljsWsw6PTkYSsBHrbCBw8HXSltxBuGInkZNlxHa8SHLw3793LfbC6R+Y05hdKfgWXIlvwZWoiRhtf/k+arBHOHaWbdFbnJNJhITtsqbFSFl4DfbhkwCI1O5HjUfIuOQ7wkSusdSw4EZVcI5dYCRUJJO4Z4MRcJKMEugSkHLxD6BpmDwZpJ1zM7LNSaytlsjJMqKNR8WML/nZ3amYnD7inQ0DlYeq0LfpSeM17qkXoMbDJHpbCVXs1Imvoq0b0lthsiuNjIu/DWqMvp0vDFybv5PO134l/uzwYc8aSaT+MFnLv0u0tZre9/6APXes0CADJGcqFl8GsZZqAYNOfreaRuDou8Q6TpB21o3Yh09CQ9LnRyA5UwxQwN8SibTb7eTn55Ofn2+oGnd0dFBaWoqiKEb7LC0tDbvdjqIo3H777ezfv59NmzaRk5PzV4/7WQyN/8jk8lHbYtFolEOHDjF+/Hga332XjjU/QXb6RKsjKRwZTw7ZBc8kcvIYaqgXTdOEphcIQT00erf+CXvRTGy5Yw0nSS0eIt7Xj2S24pp6IYFDbwIafdufp3/vGhxFM7HqZlWDEWuyLAuimjOFzEt/QKKvnXDdAQLHt6L2ttL5+q+x5hTjGDVLaJeZLGiqSqhiuwFN9c67HJAJHNso0FiH1hE4KBZxyeogerJsYFgMAnGVMYI03aEx2lJF97uPoQa6QVPp3fyULm8/UsB2B80eZIsdz+RzCJWsI3XxDZhTsonUHRKEvONbBWchsxB7/niCpRsHyJMmM8Ej74AEvvlXoSlx+vesRjKZCVXuEu81WQy3TaWvXQz0lQSyyYxnxsV4ZlyMEuwhVHuQ/u3P6zBfjVhrNS1P3YYtfyKOohnYR0xD1TQI9QHCjdI76xKU/i463/g13jmXgslCpPaADjcWC3W4ei+SxYEldaiAoTVjBA6dVJkIdNP5+q9RelsN0UTZ4cVRNFOvxt6H/jJbBUBCU8m++jdE6w8LYdCTZYMQX2ZhAWC2YcsdI65GT7KyzWmoMvTpqsQmp49YcgevKYSr9yDbXKQs/DJKoEskjebyQVehIVnspJ51owFEseWNxZY3Fr/VIewUAMx2nKPnENNdSpOgC9eExUSaK1B6ReIIHNukEy4TaJqKyZeF4u/Enj9JGIQBaqiPrnceERsENW4oJzvGLSRcLmyNnUUzBGgEdM8e8ZwJ10xx/a7iuUIkUxJzTdmVghoJYvZmkuhpJtZSSccbv8Wcmkf0xCFhARENIpsshpL56aefzofF+1WN/X4/HR0dNDQ0cPPNN9Pe3k5WVhYVFRXs2LHjA7y7z+JvxymXXD6ttpjf7+fAgQOkpqayZs0aotEoTzzxBI888ggNgxY/f8lbuMafgS1/ApLJIjgBqiLIZ0knSX0RCh7fRvDYJjGA1UUe1YBgu6eddQNmXzbREwdRIgHSzr+NUNlmIvUlBueh6+3fCw+TopnCCdJkMdpSZl8WnmkX4hw9l9Y/34lkdxPrOEGspVKIIJqtglioqmSs+CGda+5FtrlwTViEZ/qFqNEQPdtfIFK5Q3BZ4lE6X/+1fq3TDdLm4J2uLXcMzjHzCRx6k6yrfi7mJrUHiDSWgpog2lJJ/57V2ItmYskYMcDT0FRDtNE7ZwWB0o30bfszttwxuh+PKjTCag/Q887jSCYTaefcYmhF9e9dg2faRTgnn0O04YhYdHUFadmdjnPMXEKVuwZ26Yj2k2fy2fRvf04ko7Rhop2jJog2HhUmboPCNnwK3lnLRJWqzxlMngycxfPxTLsAJdxP357VhI9vFbIkh9dj8mbiKJpl2AcMDrM7DWvmSMK9beTe8DDBY5sIVe4ieHybfk8lujY8IgzBRkzVtbb0tp0sD7GIbn3he6iRfqzZo4WidNNxY7NicvoMkqoRmgqSbnfQcNRoKYGYxQTLNuEsPo3UhdegKQn6964lXLdffw4idL72K2SHF1v+BFwTzhSt3PJtSHYXWiQoquJktavf8tSzbsSWW2w8W9GWCoJlW41hvaN4PomeFpT+DiINh3WJozjWYeMMmRzHmLlCT6z7pEgsslkASmQz8W5xnFDFdkOUMlK7f+A71zRh0a2Bo3guia6TqGG/rm4ggWxGDfUT7WsTskPF8wkeeRcl0Aka3H//fSxfvvwD3+PfC0mS8Hq9eL1eRo0axYMPPsiPfvQjdu3aRV9fH4sWLeLiiy/muuuuY8aMGR/r2P+Nccoll48SH5Zc2tvbOXz4MEVFRRQWFqKqKlarFb/fT0PjSSRXGrLNhdJVL4aCdQeQzFax8434xQ+iqxFz6jASPU1IdsH0zfnyA8Iq+dhGg3sh+BgJghU7cU1cJAblSgJbdhG2bDEAj7afoHP1j0GSiJw8JmT8dTY/Tt8Qq+TkImP2ZiGBwRPQEjGQZDzTL8Lk9IiFY7B+mM2JLWM4kSpZkCAjAVIWXkPo2Gbd60XI0IRr9gv/k5HTkO1uo6qRrXZc407HNe501HiU9pV3o/S34z+0Dv/BN0T7S5d1f7+LZFK0UFMShGr3G73vnvW/F/8ugb9knSAijpgKiAQky7LhGxJrr6Vj9U+wZhSgKIqYI2kaXW/9Du+Cz2PxJXvcErLVTtbl96AlYnS987jYubozdBSRcGCMNh6h7aVyLKk52EZ80OfF5PDiGD6J8PGtpF94B9HWSsI1+4QFtv75+natxDFqNvb8CXpy1z+vxY5n2oV4pl2Iqqr0vPc4keq9IjHrLH9rbjGKv3uQFMxASBYrMh4yltyBGo8SPXlMoObKt6P4O2l5+huiEhs5XfjoaAJBFq7ei8mZQtq5t4As62Kmx4i2VIoEhYSt+HSidfuxpBeQetYNKP5OUdE0lOpyRGIGYk7Nw5KeL1qskkS0ucJIHLLTJ1QVMkcim63INieS2aa3rDSQzZhdKcQ76gENc/pwZKudWGsNcf15BTB7Mozn1+RJF5uvk2WE6w8LaLVsxr97QMwU2SRg+e11Q1BhZneajoJTsGQVoob6UONRQy1atrl1YIoGGvzmN7/hpptu+sB9/zihqipPPvkk+/btY9u2beTn57Np0yZef/11ampqPksuHyFOyeTyUdwo/9rMJSkdU11dzeTJk8nOzkZVVRKJBFdffTVvvPEG1rxxpJz+BdR4hM61Pydl8Q3IFhuBo+8Qrj9sGEhZ8ydgzRxBoKdpYP6hJnAVz8elD5abHv+K8LJXFcJVuwQsVRKOhIM5MdYM0fIxp2RjcqXqfisaaIpwOExaJY+ahS1fQIbjnQ1i4OnwokWC+OZ/jmDFDkN4EUmmb+dLhKv34Zy4CMfouUJFWBOmVYP5OyBIfV1v3k+8+yS9m/5IryTpLTO9vacMboHZsGYXEQ724py4kHDlHtRQH6GyrYBE3/bnhSyM7nyZRJyFq3bpQ/PzsQ+fRNf6h5Htbqw5Y4QMzs6/wO6XAQEB15TEkJaduMVRIkfeAQ1M7nTBhTlRAiaTTrgU1RtAz9Y/ET1xENvwyaSc9nmQTbS99ENck87Elj9RR48dJH7gVUCIYsp2D7Zh4/TPrZP67E58cy/DN/cy1ESCrrcfJNZYSrhmr1iMTRbswycZSKXBIcsylrRhRAD3tAtAknXdsgqS2ajtxR/oxm9iTsMgfopssRl2B5HWWtRQH2Zf5kDLUDYLyXxNRXalknb+rZgcHgCco+cKhGHFdvz7XwM0opXbxOKfkoOGhCUtH0taPp4p59Gz+WkjCdlHTtPbvaLtO6A2LAAbgYNvCGtqpw9L2jCijaVIdrdQwI4EiLXXGW6j5pQcvc0lBF7NvmwSfe0COaarMDtGzRbERkDtb8c16WzcU86lb89qkZAB18RFwnsFAfyQ7G40HTggEpuEbdh44Y8TDRr/XZJlXZMMrr/+er761a9+4Hv6OKFpGj/5yU948cUX2bx5M2PGCAHUiy66iIsuuugTHfu/KU7J5PJh8ddmLqqqcuzYMTo7O5kzZw5erxdFUVBVle9973u88cYbBtEv0duOOVUfyqlxHIXzjJZF5+u/IdpcgS2rcGCHrreSlGDPUOFJScaWNxbf/CtIBLqI1B2ib/cqtESU1me/iTV7tJiZFM4Uw9a+DoF60dsamZf9iEhDKYFjmwasknevEsdW4rinXSD0yWoP4J56Pu6p59O7ayXBw29jTs3F7M0ierKM3vf+IEQQrQ7QFXwNEyU97MMnYfKko8WjAgVXd4BYs1DLBeh660Gco+cI58vUPGMnGKk5oOszgZxegNpVj2RzEqndrztfmpE9oqrQYmG8867AOWqWuD02p2gZnnMTmiLabJG6gwJBdvQdQuXbsOsLq6wrA8eaykGSSDnjS9iHTyTh7xQ7+4ajxFurjVZP63P/g+LvRHanC2VgI0kJOHhywdZ0rbSuN+8TLaiGI0hmK7aCKcY5B4dsNmPNLCTWWEr2F39NvKOOYOlGok3HjVlJx9qfC721wumGsRiInbpr4mJ8cy9DCffTtf4R4u11aPHowJzG6UONRzHZPUOTKyBLErIrhazLhM9IODmn0bW61KCY+1gzR+IYuwB73jjh5njwTcPnxTZ8EtGWSsLVe4g0HiN18fVY0/Pp2fYc0abjRvsKIJ7ko2gq1txiYi2VSBY7OV9+UBih1R0iXHdAoLlMFpzF84mcOAyJuKE/l/x9JFtYzuK5wjOmv13Mk0xWfdYo6bpmkmjPTT6XYNkWo9IDDUmShT2zBtbhE9BC/cSjQQNNhsmMFg0aqD3nmHkEj23WZ14aP//5z/nGN77xge/044Smafzyl7/kqaeeYtOmTYwbN+4THe+/Of4jk8v722KxWIxDhw6hKArz58/HarUaiUWWZUOl1JozmmjTcaInj+mKsZIBeTWO7U4DWUZNxAT3wAiJjlU/xpJVqKOyZooKKzkzcQsdsVh7HeHKnTjGnk604Qh9O1+ib+eLgBjom3zZxhASScY76xK8sy5BjQZpeeo2A34JEKk7pCuHC0Ow7nceJ1KzF1v+RFJO+7xYKFSFWFstoapdAygfAFWh663fiUVwxFTRApNNqEpC/Fh1UIApfQRKVz1qqI/+fa/Qv3cNJk+mMCdXFdRgL9a8scSaK7B6Uol0N+CZdiHuyecQaSwVzpcnB87rP/g60ZNluMYvHDDzgiH+8sGKnTqKTked6a0a9M/qnXsFdp30afZkYB5/JpitxLtO6uTINGLNIgmpgS461v4M2eYWBmyDxEZBl5XRpfd9C7+MySb85KONpUay6N3xIs7iedhHTsPsHuAuSJKEY+R0wz654837iTUcIdHXanyv5tRcUVm8/xl1eLFmDEcNdJFz9a9R4xGCpZsIVe1CDTWixCMCjDBEjVkzKjjAgKK3vfQjtHgEz8ylQkW6sVQM7nW/G5MnHWtWEeGafaiqarQltWhA6Hbpz5QlqxBJNgnEWP0Ro/Kw5o7FkpojUHhIQ4zQvHNW0Pr8XWjxiNChUxLG/TWl5KL0thBtrkCLhgBJoPN0/pVs8+CccCaBknVCWcLfCZJM9OQx2l/6AagKJm8mst1DvOMEoeq9hhmZLXOksEXWNGSHB0xW1HCfPotTwOrQVQ0UQOOnP/3pp5JY7r//fh555BHee+89Jk2a9ImO998ep2Ry+ShtsaTKqd/v5+DBg/h8PiZNmoQsy0biSbL5kwKYqWd/BdnqJNJwRBf6O0T/7lWEyrfjGDUHR9FMvbeuEjq+Xfyg51ymuwsex1YwlXhn/YDwpCQT76gn3nUSc9qwISTK1IVfQjJbSAR6CJS8JZjYVjvOUbPELg8GQZ0FV0My23BOOBPPjIsJHH6bcM0+wzO9+Q83i6Qjm0TLQ1WREIunZLIQba5AsljxzlpO/7H30Po7iTYlFQkkrLljUSMBtFgITZKw5Iwm3lqNfdg4gl31pC/9NmZ3Bv4j6wlX7zHOax81E7M7jVhzhd46kwZpj03CPnwS/ftexb//FbxzLhX9/5PHBzxnNI14V6NBMgWhUq1KJrEgqQrm1LwBVjfC1Mt/8HWsmYU4xy8k1lZNsPQ9LBkjSF10HbLVQfsrv8DsSSdl8Q1ih127X+dGmAjXHcLkShtgy+sLtiSBo2gWjiJRWQWq9tD37mPEO07Q11ZN37bnsKQPR0samL3/ubM6QJLJvfZ3Arpesl4IK/YIUdBIwxHMqcN0CLosJO2N9pcdz/QL8Uy/kK6NTxOp3IFsd4tkYezexeYmaahlhKZ+wPwterIM/8HXiXc24hg12+A6xZvKjPtpGz6ZePdJXc5HqAwk23WJ7pMGYdHszdD97SWQtA9KpagKSUsBVQc7WLKKsGYUEOxtQYuGkO0e1FiIRF+b3trSMOeOMrg0Sn87ntkr8Ey/iFhrFf37XyPWWoWjaCZRvYJWg71Yc0cTaz9BrLPBgCU7xp4uWs5KAs1kRrJ7kCRJEHY1jauuuoo77rjjr35nHzU0TeP3v/899913H+vXr2fatGmf6HgfJx599FEeffRRTpw4AcDEiRO5++67ufBCgeqMRCLceeedvPjii0SjUc4//3weeeQRsrOz/2XX+I/EKZlcPiySlUtHRweHDx9mxIgRjBo1ClVVhySWZCSTi5aIIXsycI6Zh3PMPJqeuh2UBEqo7wOe3FoiguRKwTvzYsIZBXQ3Hccz/SJseUKnK1jyFoEj64m11dC+8keYdJLYYB0xyWzB7E4l5fQvCE6JZELTVOI94kfTs/FJYsXzsRfOxJozSixESlxoec37HL55nyNQsZO+jU+IxKKpmNwZQjX32CZkhwdzSg6x5ipkp5e0s2/E7M0i1tVAuL+TnC/fT6K3Bf+ht4g2lRlKxY7i05A0VbSZkqEmxOxhzgp8c1bQvfXPhMu2YPFlo0bF4DSprJzobUGNRwxPG/TWjqN4Pp6ZS4VsSMMRejY9jRLspn3l3Zjc6XqLcIaAC0d6AfDMuBjX+IVETh6nd8vTpJ33NdRoSNgzN5URbdLbL7IZx6g5AroKoG9ALCk5WPRFWwn1Ge0ygy2fmmcg+94ftvR88f/DxhPrakAL9RlzAYCO1fdiLxIOodacMUPea3YOcFo6XvmFcHpsKhfy91YnjsIZJPrb0ZQ4ajRkgB4AZJMMsow1r3iAs6RXq0rS/jctX7c6mC6qsUHPs5jTTCfadJx410kk2TRATnVnYB85jUBPM7H2WkGGTEoNaZou8yIELU2uFCJ1hwjVHtSVjDWIhWl54mbMaXk4i+fjmrAITVVQIwFioT7jGqyZBcaczpozGi0eFRI1NQdIVjax+qOGc6ln1jK8sy4x7re1sZRYW7W4pkCXjgpbIMivbbVEG44iWRyiMxALo+qt2fSL7qDn3cdR9Wu55557+M53vvNXv9+PGpqm8Yc//IFf/OIXvPXWW8yePfsTHe/jRn5+Pr/85S8ZM2YMmqbx7LPPsmzZMg4dOsTEiRO54447ePPNN3n55Zfx+XzcdtttXHrppezYseNfep0fN/5jk4vf76ekpIRJkyaRk5ODqqrGjuv9cGaPRwxAo03HMXsyDFKjyWoXD68ki8GgzYMWDZD8cWihXnp2r8KWN5SnYnZ68S24kmDFdixZhdiyRxOq2v0+pNHLOMfMFUNz2YRkMgup++r9KH5deC8RI3DkXQKH1wuxwHiEcGMpnnAAk8OtX6Pg48iuVNRAF9lf/BWJnmahPVazT3AT9EFqoHQT7iRiDUBNYM0cadjvtq36MYmeFswuHwmdmBZtE/4gid42LJmFA6ZsZgvIEkokIEyzkMR1SzKhsi2Eyrdjy5+EY9TMAYKpPmiXrQ6co+cSa60mWLoJa+4oYm21QiHg8Hrje7HmiJkUMIBas3twjJqNa8KZqLEwXeseELMAk0moKOxdg9mXhRaLgHMoy9/k9GH2pKNGg9gKphCu3kuip5mAnsz7d68i3tmge6UUG++LNleAEsNeNAvXuDPo3bsWpfMEmMwD8vdWh97+0j5I3ERCtjrJufYB0aI8vpVI/WGj5dry9O1Y88bqyWKaDuZQxX2VTYBC5ud+bECG7fkTiZw4OADeQChGRBqP6dbQ+s9WT0ix9jrDvtgxrHjg+Y0GhUJwTwtaIi5aUwEhHmrPn0A8yZnRnSCtOWNwjTudSNNxIg2lujvqSuN4Jk8GWiKGGu5HUxJE6g8DEpbMkQIo8L6WpAF711Q0JU6stQZLdiHSIKSjaIWJRBGu3EGSY2NOy0dyeIm3VopWmJ7Iul7/tXH4H/7wh59KYnnmmWe45557eOONN5g/f/4nOt4/EkuXLh3y95/97Gc8+uij7N69m/z8fP74xz/ywgsvcNZZQlni6aefZvz48ezevZt58+b9y6/3o8YpmVz+HtdFVVXa2toIBoPMnTsXn883ZL7y1947a9YsZLOFvm3P0bfzJewjpgn/eA00/cF2jJ6Dd/YKkCTiXSeJNpYKc6KStwgdehOAYOl7aKqCPX+ikFiRTUiaNjA3SSTo3vAI0fpDhCq2C2MxqwNH0Uy0eEzffQUwpw0n0d2IJadYeGJoiuF7ofZ30Prs15FMVmz5E3RpeFB1qXRUBUvaMCxpw/DOuoSmJ27GkjYMSTIRqTsgLIAl3ZbA3zVEF0u2OoToZ6DHUMRNtFUJiZL3/kDfrpf0edIMkuzuUPkOfRHTkFNyUfvbsRfNRkvEibVUDOGXhCp34hx3OmZPhv5Fih16or8D1ATm7NFCYVonp8Zaq2lfdS+y3YM5XZDTDGkX/XpN3kxoqST3uoeINgtAQLh2H1osRLyzke73ntB9YibqC74wYIvUHhTyOuKo4taF+w0tLslix5ojfF5QYjjHL8QzfQmSJGHPGUWw8wSZy7+PZHcRrthF8PhW4m21gPYB4qb+0CJJsuFKCtD93hOEK3dh8mYSa64k1nScvm3PGZwlANe0CwgeeB3Z7kK2uZBtDlLO+CKc8UXUWITAsY34972KGu6n643fIFlsQrpn5AzUWAg0lejJMky+HJS+VkA2Zm+SzYM1exTx7mZx32MhIZmfiArbgpZKkou5ddh4Us+4xhDp9M5eQbyrkZ6NT4rZlGzCOWYuweOCCBmuPSD+3WxGCXQbyskgtNfiXY04imYZjpNJuwXZ7sY+cro+uBetMM+cFThGzqD73ceM45gzRhBvqxIzJYvE1p07cDgcPPTQQ6xZs4Yrr7yS733vex/4rX+c0DSN5557ju9+97u89tprLFy48BMd79MIRVF4+eWXCQaDzJ8/nwMHDhCPxznnnHOM14wbN46CggJ27dr1WXL5tCIWi1FSUkI4HMbtdg9BhP2txAIwevRo/H29vPXWWzz88MPs2r2HntqBYb3Jk4lrwiIDUmvNKCDaXI6WiGD2ZWMZNoHw8S1EGo/q6rtW3cQpZni/g0Aa2UdMJlp/iMzL/5d4Z70g21XtMXb39sIZyHYXie5G3ZBJM3rfjjHzcI6eq3Nhjugw3ENDPosS7vvA0NmaPYqU07+IEuojcqKE/oNvovo7aX/5Hszpww3nS0k2oSVihKp26aihBHJaPmr3SRxjTyPeUU/w2GYhhAhiVy2Ba9yZQtBRHxRbfNl4514mvpOuk/TueIF4Uzn+/a/h3/+qbjUwS6CGlDhqsMdI3pJsovWlH+KeuBjnuDOI1B0kVLNf91wRBMtEbyuOwumYXKlIeqJEkrEPn4h9+ER8Z3yRlj99Cy0SIDwItWYfPsngKQk1ggLinfWkXPgtetc/CCbrwLA7HhlAISERqTuIGgnimrBoyP2WZTOu8WfgGn8GXRseFYAK3ZfeSKyyWczX+tqElXHyvTYnmMzCYlpTkT0ZqKE+Q0kbINZYpl+BcLWUBjH9Zasd7/SLhLxK5R5sIyYTbSrX5XD2GvfFmjcO56Sz6d3wMNHmClS9MjZ70oVJWFK5O28cWixMvKtxiHwLQKKrkb69a3FPWGioWPfvXWuAHkzuNNR41NC105QEst2LGg0MmKvp1xPXZyXh2v1IZhtaIop97GlEynegRgKEKncY8yjnhEW4xsynd+eLemIRyS5xYj9KLIokSTz4wAM4HA4yMzP53e9+x0MPPcQnDU3TWLlyJXfeeSerV69m8eLFn/iYnySOHj3K/PnziUQiuN1u1q5dy4QJEygpKcFqtX7AODE7O5vW1tZ/z8V+xPiPSS6BQICDBw/i8XgYO3YsNTU1Hxjcf1hceOGFxpBs586dnH/Bhah6u6fztV8hWZ3YcotRokHirVXYho3Hd/oXkc1WfNMuINHfQd+eNcTbawSuXlOJtdXQte5BMU8YMRXJItpYqAlcY0/DNfY0AFpf/AGKvwtLas5QzTKzFTXUi2fGEpzjFiJJEpa0YXimnIf/yDv6Qj/Qamj78/9gzR2No2g29iJRYSQRayanD9eEMzH7sul87f+EPEd/B/59r+Dfu9bQZpJdKaRf+A06Vv3YSHrOUbOxn3UjqqoSrtxJ/57VqKFeXFPONZj5aqBL+LwMqi6s6fmkzPscHavvxZo/ESXYI8yddKHFZL/fnDoMDU2AEBA/7mQF5pm51CCaxjvq6WuroW/bn7FkjkRNVh+DAB6SJGOyOpEcPrKu+DHhhqNCPbqlwuAkOcedjhrsJQ70vnU/JlcKqefcjMmVSqKvjejJY6IlE+zBOV6oLEd0VeXkcF0JdA2FngNIMhkXfRNAePgcfotw1R60WIS2F76L2ZeNfdRsgTDTVFASJHqaseaNJXXhNSCbxbmS8Op2QTLs3vgESrAHTU0QrtmHrWCyMdPSNFUgGEN9Bg8LqwNiYdBUFH8HYd1XR/V3YE4bpi/UKqHqPbq3ixVbzihhI6GJNqolYzjxzgYkV6qwLqjdR6R2n3iGJQEttw2fSPTkcVBVvT0l1AicxfOFN00Srm+ykLLgKhK9rUQaS41hfFKqKFK5C8lqJ+X0L5DobSVYuRs10EmobBOh8q2iIs8oQI0EyXCZqa2t5fXXX6e4uJjU1FRjvgqQkZFhSOd/VE+n98fatWu57bbbWLlyJeeff/4/dIxPM8aOHUtJSQl9fX2sWrWKL3/5y2zZsuXffVmfKE7J5PL+RNHZ2UlJSQkFBQWMHj2avr4+gsEgR48eJSsri8zMzI/9kI0bNw6vx03YW0DqouuEXWrNPiL1JfpFiAUm0d1syJ7HO+uJd55Advrwzb+Snq1/BjUu+Bv1JSDJxs5VHYQEAyFqqAa6UCNBHeKsq9Xqu8pA6SZinY24JpyJNX04/YfWCZteqwMtFsacWUSio1ZXca6ib8df6NvxAkgyie5m4j0tA9pYumCfyZ2BEugBTUL2pAvPeoRUe+cb94k/9yVl+wcStWvc6aihXvr3vYJsthJtEkZQyU11pO4QZk8G9pHThX5WEgQxqOVlqB5LMpLJgn/fWvwHXsPkThNIwPex/M2uFACsWSNRE3ESnfVDJPPbXvoBjiLRsrNkjRQDfV0V2lEwGUfBZABaXvguatiPSfd1SYbvjGswu9MABAggJYdoc6VILmNPE5uKcD+R+sP0712LGuylY/VPMKfkGEN9dH+WZFjTh5F21o30u9PwH3gTS3YR8a7GIRpvIMQcfQuuMmZhyaQa76gfaBE2l4s2UaiP7g2PgGwSStBFM1HDAVATxDtOCOJgJEDW5T/GZHPiP7KBcM0+XVNMwpSej33YOALdTWKmomkGukqNBHRQhtBdU3UQgMWXTeayu0TlW39YHK+xFHNaPtbMkUQby8SsRpLB5kQ2WVDD/cb7ATwzl2EvmAwFk3FP0d1Ad7ww8B2qCo4xczFnFGLLLTY8arrfe0KXdJGxDZ9EqHKXQR0YPIvIyspC0zT6+voMNeOjR4+SlpZmaIN9VP/6N954g5tvvpnnn3+eJUuWfKT3/LPDarUyerRop86cOZN9+/bx4IMPcuWVVxKLxejt7R1SvbS1tZ3yApqnZHJJhqZpNDQ0UFlZycSJE8nNzUVRFFwuF3PnzqW9vZ26ujrKyspIS0sjOzubzMzMD3WzbGpqory8HKfTSSgexeRKwT3pLNyTzqJ398sED60TnBhdVkMy25BsLtRgN+a0fFIXXYfJ4cHiSUeNhcm55jfEOurxH1pnGIx1vXkfluxRoiIonGm0oYIV243Bp33UHCI1e3HPuJh4ex3RxlKiDUcMkqUpJQdbzmhC5duNIa5vwZVCvM/fJSDOpRuJtVXT/uL3hU/9qNnGzCPWXI5ksZN27i0CYqvEibZUEW0sNXrhyQgeEz4m9uGTxExANoGmET5RQqK7CduwCVjShhE4+i6J/nZ6t/4Jtv4JS1YhVt3nJd5eByYLstuLFo9jSRtGoreFnC/dL3TL6gQIAVUhdHwbSrhfDLkLphiLdry7BS0WxDZsAp4ZS+jZ8ReU7pOgagQOv03g0JvIDi9qPIrZlfJBIqLZYsx5kiKIoNH99kNINie2nDE4xp1B8PDbQ9SSQXBTXOPOINHfQeDA6zgnLibaWDooWYhr/OBgXaC5TK4UYy4zONRgNx2r70V2eLDlT8A5/kz6d7xAvLNBSPUEunFMPItw6XtY88bimbmU4JF3iDZXDGndWdKHY/KkEzlRgmyyINtdBrovWLlLVxYuHpAF0lRSzv4K/r1rUaMhghU7dZsHE2ZXitDlAqMdbHL6cI1fiC1/Im3PfRvZ7tLVtcXnSb/4W/S8+wfUWEioJoDOtVHw711FoGQdmSu+j2y2EqraM5BYZBOYLISObSJ0fCsZl3wHsyuV/oNvDkDQTRa0WBg1EiAS+eu/3yStICUlhTFjxhAMBuns7KStrY2KigrcbreRaDwez1/tZrz99ttcf/31PPPMMx9be+xfGaqqEo1GmTlzJhaLhffee4/LLhOt6IqKChoaGv4t4IOPE6dsclFVlePHj9PW1sasWbNISUkZMl/xeDx4PB5GjRpFMBikvb2dhoYGI9FkZWWRlZU1xHFO0zSqq6s5efIk06dPx2q1ovYH0FRl4AemO0ymnnUDst0jTKhq9xt95URfG73b/oyzeAGayYKmCESQNXME6ed9VcBhn/0mkt1DvOskfW21gkSp+9pLFhupZ91I9/rfGx4mzlGzscy9TDe9OixY/tGgYJjr+knJyiK5cJg96aSccTWh6j1YMguxZo4gXL1HeNQP9l0ZPQeTT1Q0ksmCNW+c8FcB7KNmARKRmn2CXKozse0FU0R1oakkuptwjJkvRCBlmWD5NgFRnXI+gUPriDQcJphcRExmXBMXC1OpeEzAZzVVl/0fgy13DN75V9L8xC1gsYq5Uo3gpiSH61osiH3ULHxzLhMEyMyRhLtPknXFj0E2ETq2mWDFDtSuBhJ9bbQ8fTv2kdNwFM7EVjAJkHRbgn1Gwsq8/MfEWivF91hfoleZkpjBKDHi7XVYM0caKMJkeGctw7TwS6iJGMFjm/EfeA0tFhaDdbMN+8hpAlqtw3gjtQdE4gv3i3ZScyVmXzZp59xEWOfihCt3CVM2NGzDxiPZnCiBbuP5kiQJ+7Dx2IcJd8V4bxudr/8aNdiLfcQUYh0N4vcRD2MixbhWKYkQUxO6YZvQrou31qDGQoZqg+xKRY34iXedNGyHlWhwKAJu0LMWqthJssrufvv3xpxGsrnQNA2T3S3QY/EIWixE+8v3IFnswtrYlw2aKqDsqiKuUFXofOWXYLZAIoY5owA17EeLBglV7kJG449//OPfWxqMcLlcuFwuRowYQTweNzxa6uvrMZvNZGRkkJ6ejsvlwu12s3HjRr70pS/x+OOPc/nll3+kc/wr4nvf+x4XXnghBQUF+P1+XnjhBTZv3sz69evx+XzccMMNfOtb3yItLQ2v18vtt9/O/PnzT+lhPpyiySUej3PgwAGi0Sjz58/HZrP93cG9y+WisLCQwsJCwuEwbW1tNDc3U15eTkpKCllZWWRkZFBVVUUgEGDOnDm4XC6cTieJE2W0PP11HEUzcRTNMkiQWjyG7HUYFrlNf7gJW+54ZKePSN1B0ZICMFmGQCyTC5TZI9o/iU6xGBg/2ESM3j3CFVJL+p/rfWlherWAUNUeYs0Vgiim774Tem8+cGQ9rrFnDJxPEsZYhjZWPErPtueIVGxHMlsJlW0mVL5NkApHTCZUV4IW7MY97SJcE85EU+JEavaRcua1yA6P2DEPcr5ENqHFwyT62oy2m6aqWFKySV18HSA8WDpW/Rhz1mhks0UfqodQ/F1oiiIIn0mLZElCMplwjJxO6uLriTZXEji8nsggln+0oZTeSNCYQYmTashmK+6p5+Geeh6tL/0QNdSHJTVPIMiqdusABKH8LFkdQnW48Sgmtw/35HNwjl9E+0s/QOlvx5pVJEQVJVlwYvasxj58kkD2GWZs+i0wW/FMPQ9Jlunb/jz2kdOInCwjXLPP8JhBNmHyZpF63tfoXPW/QupEEda8hnPlrEtIBLroeedxYh0nsGYXGZwnLdijzzqGCl1aUrKxZo4gEvajxkJEm48D0P7iD0QlVDAZ99QLDb21UNVeg7Mi2d0C3aWrNrvGnS5agaEeASOWTKApJDpO0PLUbQIwUTgDs0+0W+JttUKKZ+GX0eIh+g+8QbI16By/kFDZFkG2lcVzL9vdOIoXCJ8YkwVH0QzC1fsM4zHJ6kAyWfDMugT//tfQEJVyqGIHWiKGyWzmnXc2MHfu3L+6Lvy9sFgs5ObmkpubK8REe3ro6Ojg9ddf5zvf+Q7Tp0/n2LFj/OxnP+MLX/jCR5rR/quivb2dL33pS7S0tODz+ZgyZQrr16/n3HPPBeD+++9HlmUuu+yyISTKUz1OyeTS09ODyWRi7ty5Q6RePsrg3uFwMHLkSEaOHEkkEqG9vZ3W1lYqKiowmUyMGDHCIFju2bOHF154gSeffJJDJXsIlW8j2fqINh0X0hT6bk6SZcwpOaSccbXQyWoup3fz0yjBXjrW/lR4e4yaLUhvIPrdqoLJk4Hi7yTvpj8IpE/dAQHvRSKsW+oGjm3EpSlYswWzO+ndEqzYiRrswV40k7i/C6XjBKHj2wiVbUF2CD6IpiSMuQ0Igp1r7AIiFdtJu+DryFa7zonZK3xWJAnJbEWN+FHCfmS9UkNVhjpfvnEfscajWLNH6XayJWJHqiQMAIFxTps4hiwJiKpwQJQNMcSWZ27HUThTQIaHTRBv0gf0trxiQUwNdNP25ztxjhUmbYYUvb7YxrtPYs0ZY3z/kmxCtrnIXC7gqJGm4wSObCBaf8RAISnJlosCaixE24s/RA32Gv70kcYyerc+g2fOpcRaq4g2lw9B54XKt+EYM28AWi3OTLyrCRIxrLljQZKItVSCqqD0t9O59ufilP5OQ+F6cJjd6ZjcaUid9WiqIgRK9dDiYWJtNfTu+ItB3JT09iSaSvD4NiTZhO/0L6L0dxJpLCVcsYNwxY4Bm+N4GFvBFKINR/BMPR/X1PNpeepWJItdcKlURb/3EmgK5vThgvMUDxNpOKpzV5IfVSLt3FuwZo6kd+eLRhVt8mQi6dwV0ATCseEoksWOb+5lRJuOi3aXqhoEXOfoucZcyD3pbEIVO0n0tqDFI8Zr3tnwjyWW94csy6Snp5Oenk5xcTE2m42HH36YjIwM7rzzTlauXMnSpUv59re//Q8DAj7N+LBKzW638/DDD/Pwww//i67o04l//539K5GdnU1KSgqaphmJRZKkj73bsNvtpKSkcOLECbKzsw3USV1dHW63m6ysLFasWMHVVwuL29dee40HHniAfQdEZdK3+2XsBVNwjJqFhmRAOiWTgL16Zl5C75ZnsA4bT7yzQQgyJt39VAXPrOUowV5CxzeL6ymYTLB8uyA35o1Dk83ET5YSrtpNuHKn4AAUzSIR6AZVQHg90y/COf5MI5mlX3wnie5m3e9d7EqjrdV0b3xSKO/mTxxgzqsK1uxRWLNH4Z33Odpf+iGKvwuTN4NQ+TZC5dv15CJ9IGGY9AF7xiXfEYz7EyVEaveLNmHlTto6TghOTNFMJJ19HmurFZyRcWfgmXoBHRseQe1pxuzLIVS1W3iImIQemhLqQY2FDdO2JCjANnwSzjHzUOMRUcHsfFEINr7yC2EVYPBwGIIgS7aS2lfdS6K/TfB5dA5T16YniOsWzI4x87HpG4DkzMSWOwbvTDE8jnXU07vtz8Tbaunfs4b+PasNaLXgImko/g7sI6fhm3+lgHerKvHOBsKNRwmXbzOuSZJNKH3t9O1+GcfIGUa1KbTihIR+UmnZOekcQqXvoiXigoujEzcdhTOI9TQb1VjaOTdjSRVuoa4JZ6JGAviPvissFQDHmHnIFjtRQDKZxIZMNiHLwr54QP1YwzvvCjzTLyRUvYeed/+A2ZuF7E41wAVoKn27V4mNQl8rlowRxLtEMjTg9RY7Jneq8PBJgjiUOCARqt4rEpLJKl4zqP2MmhA8qgqBQCsqKvpUEsv7Y//+/dx111389Kc/5dZbb6W1tZU333yTvXv3/k2nys/i04lTMrnEYjEURUHTpcn/mqf1R4n29nZKS0spLCxk5MiRSJLE8OHDicfjdHR0GIAAh8NBVlYWZ599NsuWCYOpd999l4ceeogdO3fRU3eApOdFsHybQEnZ3YbJkWx1CGE/SSInN4/mlhbQNPwHX0e2C3WAeLCbnvWPkuisxzn2dOGu6O+g82Qpqed+FTXiJ3R8K6GK7frQVUB41WgYLRrWhTYBNNxTzsE95RxUVaVz7c+It9cKAciKHUgmK5bk/EIZqGgkSUKy2pHsLrKv/CmJ/nbCtQIhp0aD9O14gXDtfrF4j5wxMKxWFUx2t+H10vTk15BtTqH0qzPI5SRcV4nhmnohnkmCM2BxpxLtayPrsh+JAWX9YYKl7xI9WUa08RgtT92OLX88jqJZA4x5PWHIFvsQy2H39IuInCgxGPMAks1F+ESJQWoV/whoED1ZZgyU4201BqEyXLWLcO0+zN4sLOkFH3hmrJkj8M5cSte6B7AVzSLWUkWi++QgaLUwqrKkD0dTNSRZr2oz8ontWTXkWFoiAagEDq8fIBAWzRQEQiUhfHx8WSh97bimnEukZi/W7CJSz7+VcMVOgse3EKreB0pMh5EL+2a3DjcHiHc3i5agPnMxe9KJ6zI94RNHcE85T8w9In6ijV1Drq9/31qC5dtQeluQfTmknXuL+G71iipy8phOolWQXanYhk8k3llv6M5hsmKyuYQCQDSIEo+I50n3WtFiYcHzMVuId50UUGqTBf/BN4XOXTyiE21NpKWl/a2f8T8cBw8eZMWKFdx9993ceuutSJJEbm4uN954IzfeeOOnfr7PYmicksnluuuuo6ysjGXLlrF8+XLGjh37saoWTdOor6+ntraWiRMnfkDgzWKxkJeXR15eHolEgs7OTtrb29m3bx9Wq5Xs7Gxmz57NK6+8giRJ7Nq1i9tvv52aujohbS9JWPPGGbv7SN1BUtPS2LN7t2GDunXrVn73u9+xceMmokDH898FxMKkqQmUcB8kKwxNwT1xMe6Ji4UCwZ/vFArKDi/Bsk0Ej2/R5fQxbJlBlP/WjBHEuxpxT1xMQPe5iOl6XN3vPIYtf4Jo142YJsh8SUCANwvPtAvwTLuApsdvAlkSgoHNFcKDXefrJPraDAtiELtha1Yh6effihoLCfmaQbv14NENRE4cwDFyhr7efdCNseO1XxFrrcHkTiXaVD4IESXakdac0UJwEoxZjXvyufjmfQ5VTRCu2EnvtufQYmG633pQqBno6sKakhDs/UGw3ewv/JK2P92Bd96VWNKH66i1/YSrdwMQOPIOaiwyYAqmR6LrJFq4D9uwCZgzCgTnSE0gW+wisR5ch8mdiq1gMuG6Q2ihXixZhYYnCVoCS+ZIMpb/gFC5kMwJVew0uEW2gilIsozS146cbH9Jsk7cFCKVAE1PfhWTwyuELmv3E6ndj2SxY07JFZ/T5sCSkkusrYZEfweROtHaizUdo+mxGwZg4fqQP/XMLwvEV+MxwxZZ7W+n8+2HyFp2lwBSZBUSLN+GUB0W0i+DFQ9SzrqRvm3Pi+MkSZSqImDUetgKJhFvr0ONRQT52OpAky30711jXJNj9BwidQeHAG8+jThy5AjLli3jrrvu4o477jilZiz/LXFKJpdHHnmEV155hdWrV/OrX/2KUaNGcckll7BixQomTJjwdysZVVUpLy+no6ODmTNn4vP5/uZrQXjD5OTkkJOTg6IodHV10d7ezsGDBzGZTGRlZTFu3Dj27duHJEkcPnyY++67j3fefY++JjFcLSoqYs+ePTidA+KECxcuNOQkSkpKWLZsGZ1d3VjShok2WNUeI7kMYfnLMrLTixaPkv2FXxLvaSFSdwB/xTa0aJDu9Q/rCWOWmO+YxKIUrNgBeu9aTslD7W3GrC840Yajxo5bkk0ogW5hLaCHZLGK6kuJoSai4rriYUCifeXdmFNyRYIqnCEY5ElOjNWJd9YlOIsX0Pb8/+CevgTUBOHqfQQOv20cP1y7H9vwyQPzK0lGkiVMrtQBXowk5NOTFrzm1GGC5Z/0Wk9WNPrCGyzbghLsIWXhNQSPvke0sVS4g+phyRiByZ0mZij6QibJpkEs/6vxl27Ev/15gVqrO6gj5SZjcqYAoPS1Yh85A9/8zwkfoO4mok3Hybn2AeGWqHOjQsc2CQWBwunINtdAchEfFtlsxj3pbNyTzhbV5is/J95RjzVjuCGUGe9sGEJOHRwCNTeCtPO+NsBFqT0grA5kGWfxAgPSG04qLGvgKD6dSN3+AXAGGt75n8M2THiUJJOx//DbhI5vQw100bryHuzDxpII+Um012BOyTUcKEPVu0mWhv17VqPpmmRJgUlrzii8s5fT+fpvwWzFmlFArLUG1ASmlByyrvwJsmxGjYRoee5OMJl13pP6d1XQP26UlZWxdOlSvv71r3PXXXd9llj+TXFKJpfU1FSuu+46rrvuOvr6+nj99ddZs2YNixYtYtiwYSxfvpzly5czderUIYkmHo9z5MgRYrEYc+fO/cikqmQkk0lWVhaqqtLd3W1YJkuSRGZmJvn5+Tz99NPIskx5eTmrVq3i+9///t9NeOnp6YwZM4bOnv1kfe5/hbFY7UGCVbtJdNTRu/kZQhU7BnxiTGZBnAMsqblYUi/GMe4M2p79JubUXGJt1UQbj4L0DJJVeLVrsTD2UbOI1Ow35hfuqefhGncGsa6TwlOjep8w2vrznVgyRuAYLc6nIRmEQ+c40bLzH1pH6PhWwfVoODqgGo1QR462VBoABPShqCV9OM4xc/HOv5JEVyNd6x9G8XfSvf5hIc9SMAlH0Sw0JY4WjwoejtWJFguRcv6t9L79IN65l6OG/YRr9+M/8LqRGPwH38AxZu7AOSXB9R/stxJtq6HrjfvQlBj2gklE2k6I56KrRf8mhrL8ramiysy4+FsCbnxUtOyMxViS0dQ48Z4mrOkFxvslSTZmWb55n6N323MEj2/BkppnCIKCaNu9P2RZxuTwEpdlAVxoEkPu7rd/B4gquP3le3TnSmHclrwWGOCiuMYvpOO1XxFvr0O22PR5oIBXOwqnE67aTay53PgsSTJu/84XCRxaR8Yl30E2W4k0HdeBLCIsKTkGh8WcUYAtq5BEb4tImKrQmDOnD0fRbSOQJJwTFxI8uhFJNmPLG4dsdwkYdNdJAwRgziwk0dOGNX0Yst0pVB9ks9BBUxJMmDDhb/18PlZUVFRw8cUXc9NNN3H33Xf/SxPLL37xC9asWUN5eTkOh4MFCxbwf//3f4wdO9Z4zaJFiz7AvL/55pt57LHH/mXX+a+KUzK5DA6fz8fVV1/N1Vdfjd/vZ926daxZs4YLLriAjIwMLrnkEpYvX47L5eLmm2/mxz/+MYsWLfrEKBBZlsnIyCAjI4Nx48bR29trzHA0TSMzM5OsrKy/m1g0TaOqqorm5mZyc3NBiaNpmjAWm3Iu7inn0vTodZjT8on3NBPb/jx9258XsE2zlUR/u+F0mBzSD0kYh9YJMqSq4hh3Gmanj4gkIWuq4K7rbQxrej5pZ99EIGMkfTv/IjS3epqJ71lN/+6BOYEtfyLu6RcjSTKy3hbzzFhC6sIvocYjBI6+i3/fqyT62sSAXQcgDCDABsAXlowCrHljCZe3k7bkW2Lhbq4YIN8h7HGtWYUGvwFAtrvwzFiC77SrUGMRutb/ntjJYwSPbyF4bCOSzYWjaJaugDB0p2/LHoUlPZ94VyNKsI+4DtvtfvPXIEkEDq9HDfuxF80UdsPJdUfThiDlujc9Q7h8i1D7bTwm5N/NNsNaIDkLTEaSea9EAjrHRD9sNEi8vY62lXcLfbeRMzCnDQOEQkGocqeu9qthzZ8gnEHVBPHOBuJdjcK4zZ0uOCTx6BBIN6Av9pJ4dnTOimvSIjR9Y6IEOrHmjSPWXI4lq4h4W7WQxg/3077yHmS7GzXcJ4RDU3KItVYNzK5Anysl3VgVbAWTiDaUCs6KLkMj+3KQNPHfE0lFBFVBUyIDyDOThWjVLjqqdmHJHk3m8u+J9mU0iBrs5gtf+AK/+93v+KRRXV3NxRdfzNVXX81PfvKTf3nFsmXLFm699VZmz55NIpHg+9//Pueddx5lZWW4XAMbja985Svce++9xt8Hdzz+f4pTPrkMDo/Hw5VXXsmVV15JKBRi/fr1rF69mqVLl6KqKnPmzMFsNn/qD5Usy6SlpZGWlsbYsWPp6+ujra2N8vJy4vG4kWgyMjIMBIqiKJSWluL3+5kzZw7PP/88APH2WixZRQPXKJtwFs/HM/0iEv0domIo3ya0qp6/C3PaMByj5gx4kgxOGOfcRP/+HPwHXsPs9BHXFWUTvS0gSUROlon5RdKoy2QmOfdBVZBcaciySUh7qIpwCFz5Q8y+HGS9NWS0wCx2vDMuJtF1knDtAazDJhBrrRIgBJ2UGSzfJiyE9RZYEhlkzxtnyLPEOk7Que4BtHAAR9FMw+RKSfrgqINVke3Yh08kdvIYWVf+hGhTuThf5U6DQ9K94VHsRTOxF0zWkWcSWiJOqHInktlKymlfIBHoxr//FdRoCP+hdfgPviG84bMKxTnf932b3eKzp19wO5LZKtpQdQeI6Imj7fm7DDFQS3ahfp80oaRgtpF2zm0AdK1/FMksrHn9+17Fv3etSBaqIu6rbBLmWC1VQhBSVYQ3iqIY6gGKroYdqS+h5ZmvC9fKwhnY8ycI1JkSI1J3SK8Aw0iSiZj+HMi+bKzZRcSay4X6tiSByYLJ4cVRPJ/Q8a368zfPkN+PtVSKdmWwBzSVSH0pIGFKy8fsyyFKKYmeZqNdJkuSQI5pKkpfG81P3aa7UupEy3hEvLanCVSFeFs1Lc98XbTUdKOvJ5544kN/gx8WJ06c4OKLL+ayyy7jV7/61T8MAvok8fbbbw/5+zPPPENWVhYHDhwYorjsdDpPeemWTyP+o5LL4HA6naxYsYJAIMDatWu59tprCYfDXHPNNVitVpYuXcry5cs57bTTPlQO5uPEYAmK4uJi/H4/bW1tVFdXU1paSkZGBmlpaTQ3NyPLMnPmzMFqtTJt2jRe+MuLdKz5KbIzBcdo4Xw5GAZs9maKYWuoj0jDEdyTziFcuw///lfx7xPCk5HGUixZhVgyRuiERDNoGtHWamItlZhTcjCn5Ony+weJ1O4XRmaj5xgWtfH2OiyZA66ObS/9COf4hdhHTjfmCEkLXP/+13AUz8eWq8ud6ERFNdI/IKKoM91jzZV0N5XrLbDJBn9B0xQkxHdgzRyJLWcMkYYjwt++pQqAPh0oETi0DjXUi71whviMeoKSJHkI6KF7/e+JnjhE+MRBYcQmm7DlTxALq6og212knXMzZl82NsB/4DU8s5bhmrhI2A1X7iR64ggA3et/P7BoDx9qbSvbnDiL5+Msnk/HugeJ1ZeALBM4soFAyVvIdo9wrtRUJKuL9PNuGag27S7MnnQyV3zfAD+Eq3YbcybXhIVGGy3RXott+GRhX20yG/bVkcZSwlUCZqwlYoQqdog2lskiNgyqgsmbhX3MPIKH3iR68hjxjnoAbBkFA0N4TcVZvIBI/REki00QboM9hKr3Cd5TNAhIWHNHI9s9KHU9hOtKICEImRZv+gBKzGLHPmIKgd4WsZHRs7M5bZgOrR4gWgaPbCDR1aBbcqtMnDgBu93OoZLDLF505kdm4/+9aGxsZMmSJVx00UU88MAD/5bE8teir09A4d+PhHv++ed57rnnyMnJYenSpfzoRz/6/7J6+Y9NLgCHDx/m61//Oq+88orBZo3H42zatIlVq1Zx3XXXoaoqS5YsYcWKFZx55pmfKipFkiS8Xi9er5fRo0cTDAY5efIkFRUVaJpGeno6HR0dZGZmcuutt3LDDTfw+OOP89xzz1F+THAZkE1EG48RyRk9sICbhGug77SrRHsoEsJ/ZD2BA68JvkndQWRXCo5RcwTcU1OFx31uMSlnXCN68PMuJ9JUjr/kLZT+dgIlbw9AaZFEK0seBN9Fwl4wGXvBZFLOuIbeXS8ROrJB8FMqdiBZHdhHThcLo6qQ6GzA5M1C6W/HMWo2KYuvJ1pfQs/2v6AFOkVLRJ+XCNVowU8xuVJEa0fTCFXuRg31AmAbMY1ofQlqNIj/4Jv4D7yO7ErB5BL2AkMqGlkWtggNR3AWn0bo+BZReTUeM86pJeL4S97GNf5MQ3gUtCF2w5Gmcrpe+z9kh49Q9T5CFTuENpoOrR4YhA+cF5OFnC/8EjWRIHR8C6GKbcZirsVCdL/3JLbhk3BNOBOxyOrv1cEP3lmX0PH6b4i1VCHr1QYAJgu2YePQJNmwr7ZkjxIGdMnnzWxDiwbEffd3GBWXEgkSPXEIVJV4Rz22YROE86imEqoSQ3jJlYLJlSoG50llCFUBCaItlQaZ05ZbTLxbJ5/Gw3jmXIp/7xqUQLfxGlPaoHaZpmErmEy04aho3emfx+TNFtWl3rpzFi8geHwLo0eP5oUXXvgoP6+PFC0tLSxZsoTFixfz8MMPnzKJRVVVvvnNb3LaaacxadLAhuULX/gCI0aMIC8vjyNHjnDXXXdRUVHBmjVr/o1X+8+J/+jkMnXqVKqqqsjIGGBQWywWzjvvPM477zweeeQRtm3bxssvv8zXvvY1QqEQS5YsYdmyZZx99tkfe+D/90KSJBKJBK2trRQUFDBs2DDa29s5efIkx48fJzU1laysLG655Ra+8Y1vkEgkePbZZ/nf//1fejrq6Hr9N4axmBrqFS0PvceetB8OHFqHe9qFyFYHoYodgrCpKmLYK0lCQHIQg93sTkMN9SKZrbhmLCFweANEg8h2F4GSdQSOrBdoHVVFS7oGIuC/1owCQkDGih+S6G0hdGyjsBnQORfW7NFYskYQPPqegOfKMkqoDy3YjcmXTcr8KwhU7yNad4BYSwWx5nIho59VKBYgVUEN92EfPZdI9R68s5bS0XAE7+zlOCecSaB0I+GKncTbhVNmx9qf4iiahaNwBrb8CeIzq6ogZpqtpC66HtnhpnPdA5i9WZjc6cIm+eQxwxpZi4WHzEskfUiesvAa7PkTCNcfIXj0HQOe2/biDwwHScfIoVbJstmMe/LZuCefTevKe9BCvbgmnSUkYSq2C9Y8GqrNiRLqGyLdL5KHRKyj3piVSLKJ/t0vC6dNbya2EdMJnyhB7WsRJm29LWjRAO4p5+KadA6oCrH2WiKNwvsnoaPOLDnFuGdcRLSpjEjjUUgIFr3Z4UUJ9KDFwiSiIXq2/lnovykJYi1VmLyZKIFu1HiUaGsVIGHOLTbaovHOBmRXGmqwG5PJJJ4FQHKnY0nLF3py/k7Mafl61atL9AOyJ00QbTWNrq4u9u/fb6iZOxyOf/g319bWxpIlS5g/fz5PPPHEKUWKvPXWWyktLWX79u1D/v2mm24y/jx58mRyc3M5++yzqampYdSoUf/qy/ynhqR9mhjAUzgURWHnzp2sXr2atWvX0tvbywUXXMDy5cs599xzP3FZ2tbWxrFjxxgzZgzDhw8f8t/C4TDt7e20t7fT19eHz+czFJwdDgeqqvLSSy/xxBNPcOBQCYmYaDc5Rs3BMWq27u1ho+kPN+GZdgHeOZcCoKoJOtb+nER7HbIrRUigSzImVyrm9AKiDYeRbU5Sz/oKltRc+g+8Tqh8G7nXPUSir03IwlTvRQl2I5ks2EfOwDFqJrbhk4nUH6bnnUfJvOxHhuoxQOe6B4k2HMUz/QLUWJhg6UbMGSOwZI4gfHwrlsyRRrstGYlgj4CnKjqiSQ9zSi62YeMJHnuPzBU/pOOVn+OddzmeaRcar4m2VNP5ys90B8WYYKqbrWgWB4T7wWIj/ZybsKTli+9h1Y+xDRuv83DCRBqOEK7V5yWaKlqEOqwaNUHnq/9H+tJvY8+faJwzUn+YrnUPCHOvcP+AvI7e/sq64icD9gZA28v3oMUi5Hzx/8Tn7e8U+nO7XjIqKUv2KJGkCmfQu+VZkcA0zUBx5d38JLGWSsJ1BwlW7YVIv0EwRFPFQH34JHynXz1kd64m4nS++VvUQDdJvx6DSQqkLL6B3k1/xOTJ1GXzdcFOHWoOovKwZozAX/IWstWBGgmK9+vaYwBYnaRdfCfda36iq3aLFqs1ZwyyzSkqVYtd8K1K3hLv0a/HnDYM2WIn1lbDTTfdxB133EFHRwc9PT24XC5jZvm3lIz/WnR2dnLRRRcxceJEnn/++VNCxiUZt912G6+++ipbt26lsLDw7742GAzidrt5++23TwlfmU8z/muSy+BQVZW9e/caiaa1tZXzzjuPZcuWccEFF+DxeD7ysQYTNidPnkxmZubffX00GjUSTU9PDx6Ph6ysLLKzs3E6nUai+dnPfkZTSyuxSNiYYUQajuKefA6+BVcax+vZ+idCxzaR95XHBSemdj+hmr0o/Z2AhmR14iicjnP8IsKVOwge20TOlx/E5PQa19/2wvdR/O1CxVhJCAZ62jDinfVkXHKXwYsA6N3+AsGyzbgmnEm4es+Ab40uayJZHFhzRot2VGYBaixC5xu/QQ378c67XAgV1hwk0lJOoq3G8FmXHD60iB/3lPPwzv+cUVXE2mrpWPMT7COmEe1uQtNdFgdCQra5sA4bh3vCYrreeQRb3jjSL7htyKuaHr0ea+4YlHC/mB2oiqhoElF8Cz6Pa9JZhipBMrk4Rs0m0nhMVxQeUCwADZM3yxjq92x5Fi0RJecLvxxyzu4NjxCuPYQ5LYdET6tYqHWiJJqKJbsIyZFCrOEww25+Uhw+kaB95Q9R+tpwjJpNrLMexd81xJTLrFsr2EdMo2vd/aihXqHGHA3innK+vrjrjP30AhK6ZItksZNxyXeQrA663vjtgN+NZNK/eyHbAhquSWdj9mYRqNyB0tmoH28gaXnnfY7+3S+LBKwfx5QxAnvOaEMCyV44g0jdQaFJF4+wZMkSVq5cadyfwUrGXV1dmEwmI9Gkpqb+zRZXd3c3S5YsoaioiJUrV36qM9VPEpqmcfvtt7N27Vo2b97MmDFjPvQ9O3bs4PTTT+fw4cNMmTLlX3CV/7r4r0wug0NVVUpKSli1ahVr1qyhvr6ec845h2XLlnHRRRfh8/n+5m5KVVUqKipob29n+vTpeL3ej3XuWCxmyNB0dXXhcrmMRONyuZAkiU2bNvG73/2ObTt2EA6JfrbBuh85ncDBNwgc2UDu9Q8LW109mp+4BZM3A5BEm0KSBFFRjZN11c+H7Lw7X/sVsfZaLJkjiTVXDNoBA5IsTKuS5yt5i8DRd5HMFrR4BM+8zxFrKifaeAxb/jhAInqyTOy2ZbHTR1NJOfNLQ6oDgFDlbvr3rxVD8XhUABs0FdnuESTRoplIZhuda3+mEzuFl7tksmBOzyfR2YB3zqWEa/cb7SUAS1YRaed9DbNnwA666fEb8c5ZgWf6EmNe4i99T5ilacIKwT5yOo7CmYCmG3YJsAQmEyaHD5M7VYhUJkNPEgCy3U3qubcMzM3Qk0v9YayZI4jpwIXBYc4ahRIJoPV3MOyrf0RNxGjXHUt986/QAR/Q9tIPcYyZL/grunS/Fg0a57cXzkAJ9hDvbNQfTF2FwWhRichY8j/I3nS61/9e/LtsFvcyNU9vP4rv3DFmPr45K4z3aUqC8IkS+ne/TDLJWIeNEwg0MJKHJXMkCX8nWiSIKSULx4ipohULXHDBBaxevfoD9yAZSSXj9vZ2Ojo6UBSF9PR0MjMzycjIMBJIb28vS5cuJTc3lzVr1nzqzP5PEl/72td44YUXePXVV4dwW3w+Hw6Hg5qaGl544QUuuugi0tPTOXLkCHfccQf5+fn/8a6Tfy3+65PL4NA0jdLSUiPRVFZWctZZZ7Fs2TKWLFlCWlqakWii0ShlZWWEw2GmT5/+iXrHMLCLa29vp7OzE7vdTnZ29pB2weuvv86f//xntm7bjr+/DyRJSJyE/WRd9TND0BCg+cmv4hgzl9QzryXR30G49gD+w+vRQr0iYeSNNdpDPZue0ln8YPblkHqW0F3yl20hWnfAAA2AhGRzikG3quKcuIjUhV8icvI4XW/+Fs+sS/DOvAQ1GiJSfxj/oTd1u13AbMWSOgxn8XxsBVMIlW8lUPIW5lTh5ihZbMaMQ42GxPvUhA6b1uHX+RNI9DSjxcJYc8cSa6kk78ZHAQRz/UQJvVueTX6bmNOH4xw1B3vRDNpX3o139go8MwacBxP+Ltqe+zam1FzUSBAtEhgklQJIJjJXfJ/ON34jBthKHHNKHubUHCK1BzFnjkSLhVH6WgdVbnbshdNxFM4gWL5dqDSjiYW+t0WYuaXmEarYoaPG9GrAbBOfUxcbTTn9i4ZiddtLP8Q5/kxSTv+C+GSqSqy9hu63fgdIuCYsJNJ4jHhnPZLJgiWrkFhzBc7xiwzR1IHPJK7Tlj+BRF87aiyif58J/b8JIzskE1mX/wjZ6iQR6qXr9d8a3BZzSh6JXn3oL1twjjtNwNEHvd+aPVpICrVUMXHiRPbu3fuRfwuapuH3+41E09raygMPPMBZZ53F5s2bSUlJ4dVXX/1UZ6afRvytTejTTz/NtddeS2NjI1dffTWlpaUEg0GGDx/OihUr+OEPf/ixN6b/CfFZcvkboWkaFRUVrF69mjVr1nD06FHOOOMMli9fzowZM7j++uu5+eabueGGGz71slxRFMNhr7OzE6vVaigHJCup0tJS7r//fl5/402CAdGasmSPMlj+7S/fg6NwBqln3WAcN9pcSeerv0B2paFFA4bKc3KBM6fkkXbeLQOqygip+o7Xf4sW8SPZPWIBFncI2ZWKdeRMImVCyt8z42K8s5cb7w0c2UDfjr/gO+3zxDpOEKk7NCBWqKnIrlTSL/oGJt00rfUv38czYwne2ctRVZVw9V4CJetIdDViTi/AMWIywYqdaNGQvnMuJ+8rQ5nNLc98A3NKDpb04YTrDgqxRE0VCXX4RLyzl2PJLBQADD25JBd+2erAnFVI7ORxI6ElYdYAlsyRmH1ZhKv3DoUNJ+KEmysIlW8l0XFiSEUDAgnnHDOXno1P6m3Nq1AjAVr/8j20aBj31PNJ9DSLATySvtBLyDY3tvzxhOtKcE9ajG/BVUM+a+tz/4OmxHEUzSRUsRMtHsU14UyUcJ+hLyY7fKjhPhzFpxGpO4AWjyDZ3LgnnkmochdKoFt4sTi8KKE+7PkTdPKjbmttdUMsBBJYc8YQay7HOmy8UbVY8idh8aQJzgwYyDHZ4UEN+zn77LN57bXXPvrD/1eira2NRx99lFdeeYXq6momT57MihUrWLZsGdOmTftM3uUUjVNnCnaKhSRJjBs3jh/84Ad8//vfp7a2llWrVvHEE09QWVnJ+PHjSSQSdHR0kJub+6k+4CaTiezsbLKzs1EUhe7ubtra2jh06JAhUZOXl8eTTz6JJEnU1NTw05/+lPUbNtC36yX6d74o5Dd6W4j3tBgtMElH01jShwktq0SMiRMncuyYMOpK9DbTsfZnWDJG4Bq3EJMvk651D6AlYqSc+WXs+RNR41FiLRXC+6PhKJFj7+o3zESsrYZ4ZwPm9OHifuhzCtvwybinnGf44HRveBQtFkIN9tCx+idiyF44Q89xA0KXruJ5WNOH0b7ybkwuH2okKGTvlTix5go0JU6wbLNQqR6ExpKtDlLOuJqUM64WkvSHNxA4+DrRxmN0NBxFdvhwjJqFNVugcxI9zcgOL2nn3oLZLUzelP52Io2lBMu2GDPteFcj8Y564UJZOKAcLZkt2PPHETwqWkCuCYuI97WJBVhTiTYcIdpSAZqGpqokQv20v/h9tHiU1MXXY8sVvfm2l36Ec9zpuCefo7e/9hGuFhye8IkSTO50IQmTbPdpKpqiGIkFBLcmkZTVTxrElW0h0lBiQKtlmwM1FtEtBMBZvIBYWw1KUJiICUvuuIB5Vwi0k330XCT9u4k1HUd2+lBDfcgyunClhJyah9mTQRRQw34WL178iRMLCPL03r17yc3N5d1332Xr1q28+uqr3H///VRWVn5AmPazODXis8rlY8TGjRu59NJLufbaaykoKGDt2rXs2rWLOXPmsGzZMpYtW8bw4cP/aTupZF+6ra2Njo4ONE0jKysLTdNobW1l2rRpxGIx7rvvPp566iki0ahA66Tk4Bg1B7Mvm56NT4i5habxxBN/4POf/zwTJkygOQTuqRcQrtlPpOGIodwL4Jq4GNeU84cMWPsPvin4JSAUlONhY8ducqcL0qamEjy8XqCr0vON9wp0VZjUs75CpO4Aoeq9qMEekE1YMkbgmbEE+/BJSGYr8e4m2l/6oZAv6Wocosw7eDaUrNr8B17Hml1ExpJvDbl3TY/fiHv6Rcg2pzCq6mkxHBpBwzFmHp6pFwyZW/Xte5Vw5Q5s+ROxZo/Cf2SDmPuYLOL+mCxYUnKxj5pDsGwTaqAL75xLcY4R9rOappHoaSZUvUcIlaIZGmEglIbd0y7ANkyIsQoy6xmknP5F4zVKsJfWP9+pQ68FmMCcno9j1GwChzcYsxfZlYIa6scxcpouQaPhmnwu6AkY9KriZBmy0ydg2bEIWKx49GSW6GnBnJ6PbLUTa60RpnV6K8w17UISnfVinubOwJE3RnjImCyGN4utYApaPEKspZJJkyaxZ8+ej/+Qvy8ikQhXXnklwWCQt99+e0j7KB6PnzLD/M/ig/FZcvmIEYlEmDBhAnfffTfXXnstIBaP5uZm1q5dy+rVq9m+fTvTpk0zEk1RUdE/LdFomkZPTw8VFRUEAoEhopvp6emYTCa6u7t54IEHWL16NScaGnRCG8gmE6+9+iqLFwvflcmTJ9MYgKzLfgSAGo8Sqt5D3+anMWYCJjOWlFwco+cSba0mWl+iS4C0Yk4fTtbldxNpLKV/7xph7TyoNeQoXoBr7GlY88YiySbaV/0YNRIg5+pfG58l3tVIx8v/K1BLqqIrFE/BmjmS/r36IFi3ypVNFixZRUTqD5N1xb34S9YRrT+iI9c0ZLsb15RzcRTOxJyahyRJND3+FTyzluKdeYn4jKpK//7XCB54VciUJBdpuwdb/gS0aJBIwxHsI6fjm38FkmyiZ/MzxNpqyL3ud0ROlgnp/lp9JiXJSBY7romLcBYvEMKMiLlO17oHAA3fgqtQ/F34D79teOJoiZhIUr5s4n1tuCYuJuW0zw/5rpv+cBPuKefhmriYQMnberuvd+D+jl1AvLOBRHezjkaTQFNxTbuAaOMxEl2NyJ4MXGPm4j/01gCZ1mRBMlmwZY8SGwrAPf0iYi2VhgW0JTWPeFcj9pHTDZdO54Qz0eIRPWGCd94V9O9eKbgy/UKNfOvWrZ/4GY9Go3zxi1+ks7OTDRs2kJKS8omP+Vn86+KztthHDLvdTmlp6RA+jCRJDBs2jNtuu41bb72V9vZ2wyrg3nvvZcKECYYnTXFx8aeaaDRN4+TJkyiKwoIFC0gkErS1tVFZWUksFiMjI4OsrCzuvvtu7r33XgKBAA8++CAvvPACf/rTn5g5c6ZxLLPZjKaEjb/LFhvOwln0bX6alEXXYnKlCk5M7T769whnQkvGCGzDJwrmv+4waPYK4ytMFtwzLyF0fCuqv0MYmVXuHCCJvm9wLkkS1owCMFtwTzoba944QWY8eYxInS4EKcm4JpxJpP6IziwXSc+SmkvaYjFXSgR6aHvhu6ix8ICWlycTx+jZgDZEREyWZZwjphI88Cpp59yMyZOh+7zs0+VWJGNAnehrH4Kuk8xWHCOn4Rg5jZQzrxXnjASQzBYCh9YRKHkb2ZWCNWcMkdqDSCaTcJDUuTiB0vewj5hGyhnXEG0qE5I7tfuFmGX5drRETJBFh43XW2+aMCTzpJNyxhdJOeOLqLEQLc98E8nmwOxKJd5+wgAUWLJHETt5jEjDURQdUGFJzUU1gBmITUJjqfBa0RNLEjyR6GsHDZzF81CCvQBEThxCtntQI35QVVHBALjTDEiz0t/B/Pnz2bBhQFXgH41YLMaXv/xlWlpaeO+99z5LLP+BcWpoJfyHxN8jWkqSRHZ2NjfffDPr16+npaWFr3/96+zfv5/58+czd+5cfvrTn3Ls2DHUQVIm/0jE43EOHjxIOBxmzpw5uFwufD4fxcXFnHbaacyePRun00ltbS1btmyhpKSE/v5+vvOd73Ds2LEhiQUgEAiQ6GmhZ8szRBpLhQbZINMse8FkUhddS+61vxOeLZqGbfjE5AdHjQYJNx6jfeXdIEmkn/dV3GPm4pl6AQAZl3yXlLO+gjl1GKGqPSj+TpRgD10bHtGdCwfJrGgqjhFTyLj4TvJufJSU824FwJwzWidmamiJmNjxv6/oNrtTke0ubHljyb32ITyzlgkdsMPrQdMIHn2H3m3PEW06bkifiHOKJOWZcTFZn/sxrmkXARqWjAIiDYfpWnc/bSvvJtbZwJAMhWDWS2YbJk86OV+6n8zL78EzYwmyyUqkeg9oYjgfqtpDwj/ICVKSxKxmxFRSF11H7rUPkbygUMV2ut68j5anbqP7nccGESMHQrY6xSBethDvbjb8XJwTzzQ2MUp3E/ZC8V1ribgwKkNCcqVh9qQLKRg1gWx3Y/JmGdeZ5C6ZXCkD6sfudDzzPwcgKiddedlrUgge2wTAtGnT2LBhwyeWYEkkEtx4443U1dWxYcOGf4pL5d+KX/ziF8yePdvgny1fvpyKioohr4lEItx6662kp6fjdru57LLLaGtr+5dd439KfFa5/BNCkiTS09O5/vrruf766+nt7TU8aR544AHy8/NZtmwZK1asYMqUKR/rxxiJRDh06BB2u53p06d/QPJCkiQ8Hg8ej4fRo0cTCARob2+noaGBsrIy0tLSjPZZkiPw8MMP873vfY+qql2EyrbocFo9ASXJe+iSMp50kgtspOGokHEJ9dL9xm91Lo2JcP0RTM4UA0AAGq6xC3CNXSBImy/9AKW3TZh01ewD2SQEI3XJm8FhyxRWxLIkE2s/IQiFQFTfbbe9fA/OUbOxF87EkpqrYwI0ZLsT7+zlAnmWiNHy1K2o0TDBss0ES99Dsjqw5owxrm9wJFta6Rd8HUxmIvUlhGv2D5zzpR8aWmnmtHyS3A9JkrBmjsSaORLvnEtpfup2ZKsD2e4S1Vv1HqE0oM8ohnxvsgyyqM48cy8nUruf4LGNwqJA0/AfepNYR53weRk5DZPDC5qGGg0SOXHIEIaUJJMhfW9yp+EYM4dI3QHBz9GrPZPdSayzwWgFOsadISpEJY4a6hdosNaqIVL+aqCLvu1CE0yLBjFnFJDobGDL5s04HA5WrVrFN77xjU8lsdx8882UlZWxcePGDyUlf9rxUWTz77jjDt58801efvllfD4ft912G5deeik7duz4l17rqR6fzVz+xeH3+3nzzTdZs2YNb731FhkZGUbrbNasWX/3xxkIBDh06BBpaWmMHz/+Y/+QQ6GQoQ7Q399PSkqKIUNjt9tRVZXVq1fz+OOPs//gIeKxKJJswTZiqiA1jphCuHovvZufRvZmofa3c+2113LBBRfw+S9eg8mdDpJkSP5jFo6W6Uv/R0jE69Hx6i9JdDeRe91DRJrKCRx+m1hLpY540rDmjdMTxgw0JU7bc/9joJMAsDrF/wKdyK5Uff6gYfZlkwj0YM0cQcby7w1pQ7Y88w2QzZgzCoSy8aAwbJKLxGcMHN6Af/8r5FxzHyZ3qvG69jfuI95YismdZkjSm9zpKNEgZlcqWVf91FAWAGh5+utYc0aTfuHXUQI9hE8IAmSsuUIw9DNGGFwjS2quMVvxzbt8yPU1PXGLLsMiGxI61pzRxNprDVVkU1o+sZOlmD0ZoorR1QcGR/qyu+h69f8M+2cQygiu4rkEj29Hi4XwzrsCxd9B8PhWXbdOAg0cY+YZ6sy2EVORZJlI3SHKy8s/IHf0j4aiKNx2223s2rWLzZs3k5eX9+Fv+idHR0cHWVlZbNmyhYULF9LX10dmZiYvvPACl18uvqfy8nLGjx/Prl27mDdv3r/5ik+d+Cy5/BsjFArx9ttvs3r1at588028Xi+XXHIJy5YtY968eUOqks7OTo4ePUpBQcGnAhSIRCK0t7fT1tZGX18fXq/XIG0mCaF//OMfWb16Nbv37iMaFhIoZm8Gid5WAO666y6+9rWvceTIEa78/BfQ8iaTdvZXiPe2Eqk9gL9si5Br0eXwxa57Oj3vPEass568638/5Jqa/nAzssMtBt3RIDCUZW5yp4NsQotHsA2fRLhyJ8O++rSAG5e8TbhmryELL7tScY6eg71wJtacUbQ+e4dovyUdG9FIOftmet97HHNqHkqgW+fgmJCdXtRgD1lX/hRL2rCB72Dd/cSaKsj7ymOGhH6oajdKr3C6NJQFCmdiyxtLy5++hS13DOkX3P6+z3kTJmcKmhJHDfeBpmHyZaP4O3FNOBPf6VcP+X6b//g1ZJsLkytliBKBOKkZ7+lfJFK9h5guuOkcdwbemUsJ1R2kf+dLJCsz2Z0mNMj0a1UTUUMDTg31G68TygRCtUCw9+uEF5DOi/LMWEK0uZJYaxUnT54kNTWVTxpJFeFNmzaxadMmCgoKPvExP42orq5mzJgxHD16lEmTJrFx40bOPvtsenp6hsyBRowYwTe/+U3uuOOOf9/FnmLxWVvs3xhOp5NLL72USy+9lEgkwjvvvMPq1au58sorsdlsLF26lBUrVlBXV8dvf/tbXnvttQ8VwvuoYbfbKSgooKCggGg0SkdHB21tbVRVVeF2u8nOzuaqq67ihhvEsHzr1q08+OCDbNqylYQk8+tf/R8rVqzg8OHDTJw4EbPJRDwp0piSg2XGEqy5xXS+8nMs6QXEWqt1FYBnBEoJCSXYg8k1sDBJsoy9YAqpZ36ZeG+bcNo8cUjMJ2wunMXzCNfsRzWsA5ItMDe+eZfjm3c5zX+6EwkV2eogcPRdAofXC8fFmGChSzYX5pQcYdqmD+m98z6HY+Q0oi1VBEreNgbc7S/9CGvO6AGhy0ExWEK/c+MfiVbsBEkieHwrwWObhCRKIoYaDaHGo8gW29DPOUJYGyhhP4HDbxOu2SfmQqUbCdceMNpu1txi0DSUUK8YnOtilvYRUw0xzv6tzxrHto+eh3fmUqKt1fTvWmnAtW0jp4v7DyCbcYw7nVDpe3o1KJFy1g3Yhk8mePhtAqXvQSKBc8Ii4i2VoDtnmtOGkehu0tWcqxg9evSnlli+853v8M4777B58+ZTJrH8Ndn81tZWrFbrBwAG2dnZtLa2/huu8tSNz5LLKRJ2u52lS5eydOlSYrGY4UlzxRVXEIvFuPjii6mpqWHYsGGfup6SzWYjPz+f/Px84vG4kWhqamoMvbPp06ezatUqJElC0zQaGxs5fvw406ZNIz09HUVJiEF9oMdoJSVJht7Zy7GPmEKsq5HAwXWEa/aiaSqtf/oWlqxCof6s62gZKsIp2aQuvg5v6FJan/0mlpQcNFVBjYbQIkFDqyveUWcw7kH3qHfpBl1qgtDxbQK11tkAkgnn+IXEW6vFzON9bUVb7hhsuWPo3/cq/v2vYC+cTqylir4df6FvxwtiRy9BvKd5iNSOSTaBScCkCffrrTqhDBBrLqflqduwF0zCUTQb+0hhpZzku5gcHnzzPodv3udoeuxGLLnFaNEQwWObCR59V6gm6+1CkzcLSZZJ9HcSa60y7pdz4lliWJ+IEKneQ1vjEbRoGMnqwJY7hkj9YVEhJTXH0ocjaYrhyeJbfC2usaeJP8+/AiXYQ7j2AJKmkOjvEMixsfNR/J0kkIg2ljJp0iR27dr1iZ89VVX5wQ9+wGuvvcamTZs+tc3TpxF/Szb/s/ho8VlyOQXDarVy3nnnsXXrVqxWKz/72c84fvw4t9xyC5GIUJddvnw5ixcv/tT1lSwWC3l5eeTl5ZFIJAwZmhMnTmC328nKyiIWi9He3s7MmTPx+QQzPjcnh+rqGlr//C0smYU4Rs/GnCIqA01PGNb04aSdezOdiQjRhlKcYxcQOXGY/l0r6d/1EkgmEj0t71u89QpFSRCq2i2gsMgo/e0gyXSs/gmyK1Xs9N+XoGTZbLhXtjx7B0gSmpbQORwSHSv/F4B4Ww223OIhBEqAlNOvxuROJeHvIlDylj6HSND+4g8w+bJEUiycAWigxFH62oQszOlfAEmm/eV7MKfmItvdRJsqxHBe995J9LV/oHJDkrDnT8Q76xIhf1O5k2DZZiEqabbhHD1b+KioCdRQPyZvBkp/B6kLryF14TWG1H+wbBOJWARn8Xz9fkG8rRZzah6JnmYkCWFNrIMn+rb8Cf/eV/DNvxLnmLkGiCNUtVdYDiBhGmSjXVhUxE9+8hMOHjz4iXxZNE3j3nvvZeXKlWzatOkjqQj/q+K2227jjTfeYOvWreTnDxCAc3JyiMVi9Pb2Dqle2tra/iusiz9OfJZcTtF46623eP7559mxYwfjxgnJ+9///vfs2LGD1atXc8cdd9DX18eFF17I8uXLOeeccz51q1Sz2UxOTg45OTmG3ll1dTWhUAir1UprayuqqpKSksLhw4epr6/nN7/5DW+8+Sbtu182EFGRuoOYfVlGwpD0BTZ10XUAJEK9BA6uI3j0XWJtNfrinY1z1Gysutx/XIcBp6SkEHLlYvJkEi7finfOZYSqdhMsfU84ewJoKpHGUmx544zqCQlURSF0ZCOg4SxeQOhkOYR68B98A/+hdYb6sxoLDb0PnnRSzrgakzud/t0rsWaLYXrg0DoCB98wXmfyZuGbf6VhzYxkwuzJIO28rwEQ66jDf+htIrUCedb6p29hyRxptMDEvRmowFzjTsc17nSaHv8KZlcqWiKGosOE7SOnosWjurWCfp3eDNxTzxNunofeRLbahaoBIKfmYhs2jkRPM/HOelA1vPM+h8mdSv/uVSiBLnrefZx4VwOJQLeOHOsTs5lYiHhnI/H2OlJSUzly+PAQRe/Kykrcbrchl+92uz90JqhpGr/4xS945pln2Lhxo/GM/7vj/bL576+kZs6cicVi4b333uOyyy4DoKKigoaGBubPn//vuORTNj4b6J+ioWka/f39RmXw/lBVlT179hieNG1tbZx//vmGJ43b7f5Ur0dVVUpLS/H7/UybNs1AnnV0dCBJkgFvTvpwtLW18Zvf/IYnn/wjsbiQ0jf5snCOmkO0pYpYW7XhYZKMjrU/I9bZKLTP2k/oN0KHJksSzz/3HN/97ndpSzgxp+XpPjZ/QDJb9BbYdvp2/kVIxBgKxTNwFM2ke/MzEAmAJBvOk/HeNqHmPOdS4p0Nwho4OpBYvHMuxVG8wNDy8h96i/49qwRyLdiDJX8SWqh3iKw9sgmTKxXHyOkEK7ZjL5hM2rlfHfI5m5+4WWiTmW1E6ktEdaD7vNgKJuOdcymW9AEZoabHbxSOoUk9MJMJz9TzCesOlJ5Zy3BPPg/ZLjYXfXtWEyh5G1tesUF2dI5fiCTJhhSMb/5VOIpmDJXxkU3iOvR7biuYghrsERWLpjJu3Dj27dv3AZTi+xW9bTabkWhSUlI+kGg0TeO+++7jgQceYOPGjUydOvWjPYT/gvgw2XyAr371q6xbt45nnnkGr9fL7bcLwMbOnTv/Ldd8qsZnyeX/g1BVlUOHDhlWAY2NjUM8abxe7ydClyUSCQ4fPkwikWD69OlDZj6DfTja29vRNM1YWNLT05Flmd7eXh588EFWrlw5RIbGPfUCHEWzsGQXIkkyHa/8Qtjp2t0o/k5uvvlm8vLyeOqpp/jlL3/JJZdcwujRo+mMW7BkjSJUtoncGx8bMizv2fRHQpW7sQ2fqPvKKIaPO2hYckbjm38FZmeKkVzSLvg6jsLpgJin9Gx5lrjhv6JhSR+OY9QclGAPwWMbAQHN9c5eLq77tV8h21ykLLxGsO2r9+rDdwmzLxvvnEt1N1HRwmx64mbcE88yTN8SoX4xSC95a4hidFLhuvO1Xw7IupjtSKhYMoWsvmS2CEKpJCE7U3AUzkRLxAhV7tAN0ayQiOEcdzqRwRI57jRkm0soTqfkooR6MXkzyVzxA9pfvgfF3ykSmK45Vlw8hn379n2o42NSaDW58QDIzMw0HCedTicPPfQQv/rVr9iwYQOzZs36h5/Lf0Z8mGw+CKTlnXfeyV/+8hei0Sjnn38+jzzyyGdtsffFZ8nl/7NIetK8/PLLrFmzhqqqKsOT5uKLLyY1NfVjJZpYLMahQ4cwm81MnTr17y4umqbR29trJJpEIkFGRgbZ2dmG3lkoFOLHP/4xzz33HH1+P5qiIDu8OEbPETpYvS2AxC9+8XO+/vWvf+AckydPpra2FiEuoeIce5qwgs6fgGSy0LPpKUJVuwUXpU9nTVscoMSEEGM8Agj0mSVzBLGTx4YkFxDk0K4378NWNJNY03FRzSRFMiUJzDZ8s5ZjGzkNWdaTi91N1uX3GPch0d1E+5qfGFWUgGNPwjFqJr1b/yyk9+dfMeSzNT12g64qYCJcuZNEX9sQEqu9aCbxjhMogR7QNKy5Y0g988sk/F1EG48RaTii3z8RstOHJbOQaH2Jrp8Wwj35XDQ1QbBiOyRiSFYnrolnEjy2GXNKDlmX3U3Hq/9HvOMEtryxROoP4/Z4aDp58mNbCQ9+Hp5++mmeeOIJJk+eTGlpKa+88grnnXfexzreZ/GfFad0cnn44Yf59a9/TWtrK1OnTuWhhx5izpw5/+7L+o8JTdMoLy9n1apVrF27ltLSUhYuXMjy5ctZunQpGRkZfzfRhMNhDh06hMvlYvLkyR+LtJls6yW5NNFo1Eg0GRkZmM1mYrEYf/zjH3n22Wc5drwcNSGUmB977DGuueaav3nsN954g3vvvVdYBSRNusxW7COno/g7ibXXCRmZsWcQrtiGbfgkok3luKeci2vSWURqDxKu2SsG+4AlcwTOsafjKJyJyZ1qJBfZmYIa6sU59jTMqcPo37sGNAXJbBNJSjZj9mWjhHoxezON5JKMjrU/J959EkvWaGInjw6IeUomTN5M3JPPxlE4A5NbyJs0PXYD3vlX4JkqvNSTaLe+rX9CdqfjKp5neLBYcopJW3TtwExJj653HyPeVguShGvqBSi9LQJIAPgWXIWjcAb9h9YJcy/AnDoMe8EkAqUbkR1ecr74Kzpf/aVB0CwqKjI2F58kFEXhV7/6FX/5y1+QZZm6ujoWLVrE5Zdfzs033/yJjv1ZnJpxyiaXl156iS996Us89thjzJ07lwceeICXX36ZiooKsrKy/t2X9x8XmqZRU1NjJJqDBw+yYMECli9fziWXXEJOTs6QRBMIBDh48CCZmZmMGzfuE7XVNE0zZGja2toIh8OkpaUZ6gAWi4VEIsGjjz5KcXEx559//t88VjweN3xtpk2bxo4dO/j+97/PoUMlhhowkoR95Ayc406n+60HQTKBJOlGXVcOHKunhfYXv4+h/IxuCJaSQ7hqNyDsBtxTL0CSJLo3Pkm8q5Hca39HtKWSSK0QulQjfjBZcI5dgKNwpiE42bH2Z8Q66kWby+ok5fQvEm46Trhyp24doJ9TZ+r3712Db/6VuKcO7Og1VaH58Rsxp+djSckVaDFdul92+rAXTME14UxMdjc9m58h2lQmZPA1FffkswlV7hYzHbNNoOk0lXDVbkHa7GvDnDYMLRpGCQpypWR1AhpaLExhYSElJSWfOLFomsZzzz3Ht7/9bV577TUWL17MiRMnePXVV2loaOC3v/3tJzr+Z3FqximbXObOncvs2bP5/e8Fi1tVVYYPH87tt9/Od7/73X/z1f1nh6Zp1NfXs2bNGtasWcPu3buZO3euYRVQVVXFT37yEx555JFPnFj+WgSDQSPRBAKBv6p39tciGo1y8OBBHA4HkydP/oCuWklJCXfeeSeHjxwhHBoYzMsmk+C4TBzq5qiE/bQ+83VM3kxcU84jdHyrGM4nfxKyCWvGCBxjT8OWP5HezU8R72ok74ZHjGNomkrzM9+EWFjkKCWBZLEJifqTx9HC/cgOD2nnfQ2ze0CAUYkE6Nn2ZxLtdeIf9HtscqXhHLtAaKVlFICq0PyHr+jyN/0AWHKLseeNJVyzb0Bqx2SBRAxr9ig0JU68u0mQR0P9WPMnoQY6jZaZ7E7HOWqm8LfXlZ/vu++32O12nn76aQ4cPERGRjoV5eWfmFOlaRorV67k9ttvZ82aNZ+1wv6L4pRMLrFYDKfTyapVq1i+fLnx71/+8pfp7e3l1Vdf/fdd3P9nkfSkWbNmDatXr2bbtm1YLBYuueQS7r77bgoLCz/15DI4wuGwkWiSemfJRDOYwxMOhzl48CA+n48JEyZ8aIuusrKSX/7yl7z77ru89NJLnHfBhaiJxADjvkigtVqfvh1zai7ZV/0cADUWpm/vWkJH38FWMJVYc7lQBjZZDAh17g2PDLknrc9/B9nhJWP594nW7idQ+h7xjhNoibhQ7rc69ApjkZFgAmWbCZS8hTWrCN9pXyDSWErg6LtoEf/QoX7RTIJHhdun7PShxiI4R8027KsTfW2Eaw/iP/AqSCZcExcRbThKvEsg2HwLrtRbYW8RKhPqxbbCGZjdacZx77//fm666aZP4+v8QKxZs4ZbbrmFl156iSVLlvxTzvFZnJpxSvJcOjs7URTlA/al2dnZlJeX/5uu6v/PSHrS3H777WRlZbF3716uuuoqGhsbmTFjBhMnTjQqmk/bkwbA4XAwYsQIRowYQSQSMdQBKisr8Xq9ZGVl4fF4KCsrIyMj4yNXUsXFxTz11FPG33ft2M4DDzzAhg3v0KUz7s1J3bDBPi9WB46CyYSOvkPqmV9CdniInjxOuHY/ofLtgEbrs3fgGC1Im9ac4oH3yjKO0XNwjBZzwaYnbsHsSUcyWwlX7SZctRvJ5sLk8JLobcGaW0zqmV9GMllwFc/HVTwfLRGnfd0DaP4O1GAPwdKN+sHNpCy+gZ4NjxhVDoDZl41n+oUEyzYJJr+SEKKaaFiyR2PJKsSvJxbZ7ha+MyStiWHevHn/tMTy+uuvc/PNN/P888//yxPL1q1b+fWvf82BAwdoaWlh7dq1Qzaq1157Lc8+++yQ95x//vm8/fbb/9Lr/P85Tsnk8ln862PLli3ceOONrF69mgsvvBBN0+ju7uaVV15hzZo1/OIXv2DMmDGGVcD48eM/9URjt9sZPnw4w4cPN1QAmpubqaqqwmq1YrVaCQaD/xCHZ9KkSTz5pODVPPXUU3z7298mqjPOlUA3/gOvYy+aNcQUDEAyWbCPmIJ9xBTi/i7izeXITu+APIvNiZaII1scaEpiyIBdkmWs2UWkLr4BJdAtYMo1+wzxyXhnA73bX8A1/kysWSMB6Nn6JyH2KclgtmLyZqF0NYCaoPvN+/h/7d17VFT1/v/x53C/DAx3EJWLCEiRWqhgXvMSYgh4K/VXYtnpHFPXUU+dynVKLT1aFqfjSi1b6ysny2OFKGVhJSpmoaaCgCgGqRyQu1xHLsPM/v0xsBPFRB0cxM9jrfnDzWb2B5aL9+zP/nzeLxQmaCou0ngxE8s+QShMW2N+JQmQWrsYqFFYq9CU5lGxex0AZg4emLt40ZB3jKais0itG0XHjBlzy7/LzkhOTmb+/PnEx8e3+6N+t6jVagYNGsRzzz3HtGnTOjxn0qRJbN26Vf63paVlh+cJt6dbFhcXFxdMTU2vC+ARLRa6zsiRIzl27BhBQUHA75k08+fP57nnnqOmpoavvvqKxMRE4uLi8PLykgvNra4k6wwLCwuUSiVqtRpfX19sbGwoKyvjwoULWFtb4+bmhru7e6d2g1+rLWfn9OnTDBs2DBMbFbXHk6g9loipyh1zZ30Lec3lIkxsf1+6bdIaZez+5JvodC005KahzjmApuw8msoCfQ8x34ex7heCZd+HWq/W+ixF6YTyoQkoH5pA0Ud/wrJ3EJiY0lR4mqbC02BmiYmZBbrGOiw8+qNVVyPptHg8uYrqX75CfXwXmFuCpgnN5UIqv/0XCjNLrHwGY90vpLXDch2gwGH8C9gGhNFSX0ntkQQa8o5h5fsw2jr9Q3up+Yq+ZX9JnsH71AGkpKQQGxvLli1bmDlzpsHfvzMiIiKIiIj4w3MsLS3F35Mu1C2Li4WFBSEhIaSkpMifenQ6HSkpKSxatMi4g+uhTE1N5cJyLYVCgYODA3PnzmXu3LnU1tbKmTQTJ07Ezc1NzqQJCQkxSKG5fPkyGRkZ+Pv7y3khV/c7Kysr45dffsHCwkIuNLe6WbStXY4qbCZW3gNpvHgK9emDNJ5PB4VJ63Jk1VWNNX+fPzMxMcM2aBS2QaOo+H4zTb+d0IeC5f+iX2lmYiZ3M9Y1Xbmub5mFZwD2IVHomhtoLMikIf84jb8dx9TOGUvPQNS5vzeFNDVR6BcXuPros2AsbKGxDqmlSX+9vKPyuXaPzsY2QJ8pYqZ0xtxZf7eCJNFcqr9jMnP1xdy5b5cUl0OHDjFnzhw++OADZs+ebdD3NrSDBw/KXSXGjRvH6tWrcXZ2NvaweoxuWVwAli1bRmxsLEOGDGHYsGG8//77qNVqnn32WWMP7b5nb2/P7NmzmT17Nmq1Ws6kiYqKwsHBQc6kCQ0NvW5FV2eUl5eTlZXFgAEDrguMurbfWWVlJWVlZZw8eRJTU1O50HTUduRaVxdBhZmFfke831AaLmRwOfnfmDr3QVdXqe9blvWD/kRTcxoLsq7Kt9e/j8JUv3dF25qXojA1Q9I00VSQRfHWxXLfMiufhwEJResdjYmFNTb9Q7H2G8qlD+ejMLdGe6VGH4AGFG97CTNHT9Bpab50DoteAdj4h1F9+DNMlU6owmZyJe8YjRdPgVZD3c//pe5oAjYDRuE4+ml5aXZD/nE5xdPcuTfa1uC1O43cvtpPP/3Ek08+yXvvvUdsbGyXLgS5U5MmTWLatGn4+vqSn5/P8uXLiYiIIC0t7bb+zwrX65arxdp88MEH8ibKwYMHs2HDBkJDQw16jZUrV7Jq1ap2xwIDA8XCgdvQ0NAgZ9J8/fXXcozA1KlTefTRRzu1X6K4uJicnByCg4OvW9DxR3Q6ndx2pKysDIVCgaurK+7u7nK/s2tdvHiRBx54AGu/odg+NBELDz8UChN5E6WF5wCai3OxtrLC1dWVgoKC3zdtmlu1ToEN4UruT61xxDo8PT25dOkSvZ7bSMm2v2Hh0R+FuRVNRWdaA9AUoFBg3S8E+0efwkyp/6Tctp/FxN4NXV0FCjNzrLwG0Vh4Wo4jBjD3fABNUTam9m44TfwLpla/P3/S1ldRdfgzWioLALBsTf9sKsoFSSvvbbHso2+N4+CgIi8v77Y6Gl/r2LFjREdHs2bNGhYuXNitCotCobjugf61fvvtN/z8/Ni3bx/jx4+/e4Prwbp1cbkbVq5cSUJCAvv27ZOPmZmZ4eLiYsRR3fuam5vZv38/CQkJJCUloVAoiIyMZOrUqYwaNarD6ZjCwkLOnTvHwIED7+j3r9Pp2rWh0Wq18vJmJycn+ZOpVqslKCiISyWlSNqW1iTJoZhY21F3XL/c3cXFlWPHjpKfn49SqaSwsJCVK1eSk5ODpFDIfdJQKBg/bhyBgYFs2rSJXvM3UfLJMqz9w3AcEwvo+5bVpX9LQ25bg0Pp96hj70GUffE6KExQmFngNOHPmDv1RpJ0aCoKaPxfNg15x5E0+gfxJtYqrHwfRhk0GpPWAlN36jvU2Sn6tzYxQ2FuKRcmi9ZIgbZVYi4uLmRnZ2NnZ3fbv+c2J0+eZMqUKbzxxhssWbKkWxUW6FxxAX0PtNWrV4uOAQbSbafF7qa2qRbBcCwsLJg0aRKTJk3iww8/JDU1lS+//JIXXniBpqYmIiMjiY6OZty4cVhaWvLOO+/Qr18/xo8ff8fphiYmJjg5OeHk5ERgYCA1NTWUlZVx9uxZNBpNuzY0586do7m5mfj4eOLj48k+/SPa1jY0rq6uHD9+nNzcXFQqFQ8++CADBw5k8uTJANTU1JCWlsaaNWtwcXFh165dcj80XWtr/LbpLwBzR0+cxj3Ppd9OgKU1phbWaCoK0FQWUHs0QX+SpMM2aBSmrVk4CoUJFq4+6JqucOXsj/pzTM0xsbTmSs5BrpxJxcTKDlOlE5ryC5iq3EHXgqRtoVfs+1Qd2saV0wex9PCjufwCoJ/W3LhxI6dOnZKLrkqluq2ikJmZSVRUFK+88kq3LCydVVhYSGVlJb169br5yUKniDuXlStZv349KpUKKysrhg8fztq1a7tN1GpPo9VqOXz4sBwVUFtbS3BwMNnZ2ezYsaPLlsaCfsNoXV2dvGmzsbERFxcX3NzccHFxwdzcHJ1OxyeffEJCQgLbtm3j9OnTODk5dXrp9Zo1a/jnP/UbMjExxVTpjHJQuL6HmK0DAJc+/os+YbK5Qd/RGAXYu0BtGXIrGhMzzBw8sO4fisLShtrDn2JiaauPTLZU0is2Dk1VMY3n9X3SNBUFKCyV2D4wSv8AX6fDY24cNUe+pD7ze6x9Q2jIP4a5uTkXL1xAqVS2617cUWzCzeTk5BAREcHixYt5/fXXu1Vhqa+vJy9Pv4Dh4YcfJi4ujscee0z+0LFq1SqmT5+Oh4cH+fn5/P3vf6euro6srCyxJNlA7vvikpycTH19PYGBgRQXF7Nq1SqKiooMNmUg3FhLSwtz5swhOTkZX19fzp8/L2fShIeHGzyT5mqSJKFWqyktLaWsrAy1Wo2zs7OcrNjS0sKJEydwdXUlMDDwlv5w5ufnExcXR3z8f/RRyq2djc3d+mHdfxi1R3eCVqPvD2Ztj6TV4PbkW5RuW4bj+D9hYmVHw/kTNOQfl6e1FBZW2ASO4ErOIRSWtvSa274fV9GWFzBVOmHt+4g+1lnTiMf/W0995nfUZ6WApMPJ0ZGsrMzr8t87mka8Ojahowfcubm5REREMH/+fFavXt2tCgvoV4I99thj1x2PjY1l8+bNxMTEkJ6eTnV1NZ6enjz++OO89dZbt/ScT/hj931xuVZ1dTXe3t7ExcUxf/58Yw+nx5Ikifnz55Oamsq+ffvw9vbm5MmTciZNYWEhEydOJDo6moiIiBuGphnKlStX5EJTV6ef0nJwcCA4OPi2o6QdnV0w7/8oyoETqT35DU0XT8l5KqDAesAINCV5aBvqcZu5ktJPX8Lp8Rex9hsKgKTT0Xj+BJe/34RF7yAs3ftRn/kDmFrQa+57KMx+f25V9NHzmNm5IEmSPgK6lcLcCkmrwVGlIjs767rCcq0bdbNua8fj6OhIXl4eERERzJkzh7ffftvge5yEnkH8r7iGg4MDAQEB8i210DUUCgUhISH8+OOP+Pr6YmJiwpAhQ1i3bh1nz54lLS2NgQMHEhcXh6+vLzNmzGDbtm1cvnyZrvg8ZGNjg6+vLw8++CBmZmY4OjoiSRKHDx/ml19+4eLFizQ0NNzOD4qZyh2nx56j17x/4/7Me4AChdIJMxsVkk6LpGmkqSy/7Rt+/1YTE8yc+rT9g6biX5FampGa6rn0f4uo/G4jV349iq65ASQdLbXl+sJiYoqXlxfPPfcc9jZW2CmVZGaeumlh0Q9XgUqlwt/fnxEjRhAaGoqdnR3p6en4+PgwevRooqKimDRpkigswh8Sdy7XqK+vx8vLi5UrV3YYViXcXZIkcebMGTkq4PTp04wZM4aYmBgiIyNvmklzK2prazl58iReXl7069cP0Hdibpsuqqqqws7OTt5L07YJ80ZUjk5YBozAYVT7bJqij/6EqZ0zZkonmorOtPuaia0jNv1DseoXgoV7P1qqiin7/B+Y2DqiU1cBYOU3FKmpgebSPH2ujMJUn7gJWHj401Jbhl9vNzIyMgzye2mTmprKG2+8QVFREWVlZYSFhTFt2jTmzp0rVlcK17nvi8tLL73ElClT8Pb25tKlS6xYsYKMjAxycnJwdXU19vCEq0iSRF5enlxo0tPTGTFiBNHR0R1m0tyKmpoaTp48ia+vLz4+Ph2e09zcTHl5OWVlZVRWVmJraysXGltb2+uurXJwpEXTjLmLV2sn5iGYO3hQ9NHzcipmWFgY33zzDfHx8axbt04fDdzWFdnaDotegTT+dhzQ71tpupSL/bCp2D2sbwTZVPwr9RnJNF5IR2FthzJoNOozh/Dr42HQ4lJcXEx4eDhjxoxhy5YtlJeXk5SURGJiIhs2bGiXNy8IIIoLs2bN4tChQ1RWVuLq6srIkSNZs2YNfn5+xh6a8AfaMml27txJYmIiR48eJSwsTO4O0KdPn04XmurqatLT0/Hz8+v0KkGNRiO3oamoqMDKykouNHZ2digUCi5evMiGDRtI+uoriotLQNJh5tBLzlUZMWIEe/fubTe1pNPp+PTTT3n55Zepr6//fdOmpS2OY+Zx+YfN2IfNwG7w732zJG0Ll7b8CXPnvpg79+XKr0fw9upLTk7OLfxGb6ykpISIiAhCQ0PZunWr2MEudMp9X1y62s1af0uSxIoVK/j444+prq5mxIgRbN68GX9/f+MN+h4jSRJFRUVyJs3PP//MI488IkcF+Pj43LDQdNTD7FZptVq50JSXl2Nubi4Xmrb9IxUVFWzYsIGEhAQuFvyPh4If5MiRI3/4vvn5+fz3v//l66+/5te8fJoaG0ChwNzFB+XACVh5D8aktSvzpY9fwNTOGa26GjtbG06dOmWQlU/l5eVMnjyZhx56iE8//fSOUymF+4coLl0sOTmZn376iZCQEKZNm3ZdcXn77bdZu3Yt//nPf/D19eX1118nKyuLnJyc216ldD+TJInS0lJ27drFzp07OXToEMHBwXKh8ff3lwvNmTNnKC4uJjAwkN69exvk+lqttl0bmrZ+Z25ubjg4OHT6Afj58+e5ePEiISEh8pL4AwcOsHjxYopLSmlsuAIKEyx7B2HlM5iaw58BoFTakZlpmMJSWVnJE088Qf/+/fn8888xNze/4/e8FeKD2b1NFJe76No2FJIk4enpyd/+9jdeeuklQD/37+7uTnx8PLNmzfqDdxNuRpIkKisrSUpKYufOnaSkpBAQEEB0dDQqlYoVK1awd+9ehgwZ0iXX1+l0VFVVUVpaSnl5OZIktWtDc6NC01FhudaJEyeIi4tj/4GD1NZUA2BpacXp09kG2WVeXV1NZGQkvXv3ZufOnV3Smv9mxAeze5soLnfRtcWlrVleeno6gwcPls8bM2YMgwcP5t///rdxBtoDSZJEdXU1X331FRs3buTkyZMMHTqU0aNHExMT0yWZNB1dv20vzY02KnamsFwrJyeHt99+mzfffBNvb+87HmttbS3R0dE4Ojqye/fubvGHWnwwu/eICVQjKikpAegwzrnta4JhKBQKHB0dsba25vTp02zbtg1JkuRMGnd3d6Kiopg6dSqPPPKIwQtN2/UdHR0JDAyktrZWjnNubm6Wl/JWVlYyZMiQW+oO8cADD1wX2Xu76uvrmTFjBkqlkl27dnWLwtKR8+fPU1JSwoQJE+RjKpWK0NBQ0tLSRHHpBkRxEe4barWaV199lYSEBDmlcM6cOajVapKTk9m5cyeRkZE4OjoSFRVFTEwMw4YNM/jqqLaNim2bFevr68nNzaWqqgqFQkF+fr7chuZuPue4cuUKM2fOxNTUlKSkJIO04u8q4oNZ9yeKixG1dWIuLS1tN09eWlrabppMMAxbW1vOnDlzXWNCW1tbZsyYwYwZM2hoaOD7779n586dzJw5E2tra6ZMmUJMTEynM2luRdtKsvr6esLCwlAoFJSVlVFQUEBOTg5OTk7yc5qufO7R0NDArFmz0Gg07N27t0v7ugn3B9G7wYh8fX3x8PAgJSVFPlZbW8vRo0cZPny4EUfWc92s4621tTXR0dF88sknlJSU8PHHH6PRaHjmmWfw9/dn8eLF7N+/H41GY5DxXPuMRalU0q9fP8LCwnj00UdxcnLi0qVLHDp0iOPHj1NQUEBjY6NBrt2mqamJp59+mtraWr799lvs7e0N+v5d4eoPZlcrLS0V8RndhLhz6WJXt/4G/R+TjIwMnJyc8PLyYsmSJaxevRp/f395xYunp+dNg42ErmdhYcHkyZOZPHkyGo2G1NRUEhISeP7559FoNHImzWOPPXZbbdpv9vDexsYGHx8ffHx8aGxslJc3nzt3Dnt7e3kvzZ1MXzU3NzN37lxKSkpISUnpVP+x7uDqD2Ztd/ltH8wWLFhg3MEJepLQpQ4cOCChb4Pb7hUbGytJkiTpdDrp9ddfl9zd3SVLS0tp/PjxUm5u7m1fLzU1VYqMjJR69eolAdKuXbvafT02Nva6sYSHh9/BT3j/aWlpkQ4cOCAtWrRI6t27t6RSqaTZs2dLO3bskCoqKiS1Wn3TV3Z2tvTNN99IJSUlnTr/6ldVVZWUm5sr/fjjj1JSUpKUkpIiZWdnS2VlZbf0PtXV1dK0adOk4OBgqby83Ni/1uvU1dVJ6enpUnp6ugRIcXFxUnp6unTx4kVJkiRp3bp1koODg5SUlCRlZmZK0dHRkq+vr9TQ0GDkkQuSJEliKXIPc7O9AfPmzaO0tJStW7fKxywtLe84/fF+pdVqOXLkiBx+VlFRQXh4ODExMYSHh2Nra3vd99zOcuMb0Wg0lJeXU1payuXLl7G2tsbd3R03NzeUSuUNOxO0tLTw5z//mVOnTnHgwIFumWPyR5ks8fHx8ibKLVu2UF1dzciRI9m0aRMBAQFGGK1wLVFcerCOssPnzZtHdXU1u3fvNtq4eiqdTseJEyfkxppFRUVMmDCBmJgYIiIisLe3Z/Xq1Xh7exMTE2PwMLqWlpZ2bWgsLS3lQmNvby8XGq1Wy8KFCzly5AgHDx7E09PToOMQBBDFpUe7UXHZvXs3FhYWODo6Mm7cOFavXo2zs7PxBtoD6XQ6MjMz5UKTn5/P4MGDycnJ4dNPP2X8+PFdmt6o1WqprKyUC01zczM7d+5k6tSp7Nmzh0OHDnHgwAER5y10GVFcerCOisuOHTvkYKz8/HyWL1+OUqkkLS1NdLvtIpIksWzZMj766COCg4PJyMhg7NixciaNs7NzlxYanU7HmTNneOuttzh48CCNjY3MnDmTZ599lrFjx4pmlEKXEEuR7zOzZs0iKiqKhx56iJiYGPbs2cMvv/zCwYMHjT20Huudd95h27ZtpKWlcfToUbKzsxk7dixbt27Fz8+PyMhItmzZQklJSZekbJqYmBAUFISvry8qlYqPP/4YlUrFM888g7u7O1lZWQa/piCI4nKf69evHy4uLiLWuQu5u7uTkpLCoEGDUCgUBAQEsHz5co4dO8a5c+d44okn+OKLLwgICGDSpEls3LiRwsJCgxUaSZJ48803+eKLL/jhhx+IjY1l06ZNFBUVkZSUJB6AC11CTIv1YB1Ni12rsLAQLy8vdu/eTVRU1N0bnNCOJEkUFhaSmJhIYmKinEkTExNDdHQ03t7etzV1JkkSa9euZcuWLRw4cIAHH3ywC0YvCNcTdy49TH19PRkZGXLEbdumzYKCAurr63n55Zc5cuQIFy5cICUlhejoaPr37094eLhxB36fUygU9O3bl7/+9a8cPHiQgoICYmNj2bdvH4MGDWLUqFG8++67/Prrr52+o5Ekiffee48PP/yQH374oVsUlpUrV6JQKNq9BgwYYOxhCV1A3Ln0MH+0N2Dz5s3ExMSQnp5OdXU1np6ePP7447z11lvdcp+DoC8QFRUVcibN/v37CQwMlMPPgoKCOryjkSSJDRs2sH79er7//vsuy6y5VStXriQhIYF9+/bJx8zMzOSu0EIPchc3bAo90D//+U9pyJAhklKplFxdXaXo6Gjp7Nmz7c5paGiQXnzxRcnJyUmytbWVpk2bJpWUlBhpxPcunU4nXb58Wdq6das0ZcoUycrKShowYID0yiuvSGlpaVJdXZ2kVqul+vp66d1335VUKpWUlpZm7GG3s2LFCmnQoEHGHoZwF4g7F+GOTJo0iVmzZjF06FBaWlpYvnw52dnZ5OTkyLvTFyxYwDfffEN8fDwqlYpFixZhYmLCTz/9ZOTR39tqamrYs2cPiYmJ7N27l169ehEVFYWpqSkfffQR3377LSNHjjT2MNtZuXIl69evR6VSYWVlxfDhw1m7dq3Yb9MDieIiGFR5eTlubm6kpqYyevRoampqcHV1Zfv27cyYMQOAs2fPEhQURFpaGmFhYUYecc9QX19PcnIy27dvJykpicTExG7Z/DQ5OZn6+noCAwMpLi5m1apVFBUVkZ2dbfCOBYJxieIiGFReXh7+/v5kZWURHBzM/v37GT9+PFVVVe067np7e7NkyRKWLl1qvMH2ULW1tfdE23yA6upqvL29iYuLY/78+cYejmBAYrWYYDA6nY4lS5YwYsQIgoODAX1ioIWFxXWt3EViYNe5VwoLgIODAwEBAWKfVQ8kiotgMAsXLiQ7O5sdO3YYeyjCPaK+vp78/Px2SaxCzyCKi2AQixYtYs+ePRw4cIA+ffrIxz08PGhubqa6urrd+SIx8P700ksvkZqayoULF/j555+ZOnUqpqamzJ4929hDEwxMFBfhjkiSxKJFi9i1axf79+/H19e33ddDQkIwNzdvF+Wcm5tLQUGBiHK+DxUWFjJ79mwCAwN58skncXZ25siRI7i6uhp7aIKBiQf6wh158cUX5RVKgYGB8nGVSiXH7y5YsIBvv/2W+Ph47O3tWbx4MQA///yzUcYsCELXE3cuwh3ZvHkzNTU1jB07ll69esmvzz//XD7nX//6F5GRkUyfPp3Ro0fj4eFBYmLibV9z7dq1DB06FDs7O9zc3IiJiSE3N7fdOWPHjr2uzchf/vKX276mIAi3Rty5CPeczmzcHDt2LAEBAbz55pvy99nY2NxTK6kE4V4mUoKEe87evXvb/Ts+Ph43NzdOnDjB6NGj5eM2NjZi0YAgGImYFhPueTU1NQA4OTm1O/7ZZ5/h4uJCcHAwr732GleuXDHG8AThviSmxYR7mk6nIyoqiurqag4fPiwf37JlC97e3nh6epKZmckrr7zCsGHD7uhZjyAInSeKi3BPW7BgAcnJyRw+fLjd/pprtbWhycvLw8/P7y6OUBDuT2JaTLhn3WjjZkdCQ0MBRJsRA9m4cSM+Pj5YWVkRGhrKsWPHjD0koZsRxUW459xs42ZH2pI5RZuRO/f555+zbNkyVqxYwcmTJxk0aBDh4eGUlZUZe2hCNyKmxYR7zs02bubn57N9+3YmT56Ms7MzmZmZLF26lD59+pCammrEkfcMoaGhDB06lA8++ADQP/fq27cvixcv5tVXXzXy6ITuQhQX4Z7TUawvwNatW5k3bx7/+9//ePrpp8nOzkatVtO3b1+mTp3KP/7xD7HP5Q41NzdjY2NDQkJCu7yY2NhYqqurSUpKMt7ghG5FTIsJ9xxJkjp8zZs3D4C+ffuSmppKZWUljY2N/Prrr7zzzjt3VFg2b97MwIEDsbe3x97enuHDh5OcnCx/vbGxkYULF+Ls7IxSqWT69OmUlpbe6Y/a7VRUVKDVanF3d293XEQoCNcSxUUQOqFPnz6sW7eOEydOcPz4ccaNG0d0dDSnT58GYOnSpXz99dd8+eWXpKamcunSJaZNm2bkUQuC8YhpMUG4TU5OTqxfv54ZM2bcN1HOYlpM6Cxx5yIIt0ir1bJjxw7UajXDhw/nxIkTaDQaJkyYIJ8zYMAAvLy8SEtLM+JIDc/CwoKQkJB2EQo6nY6UlBQRoSC0I3qLCUInZWVlMXz4cBobG1EqlezatYsHHniAjIyM+yrKedmyZcTGxjJkyBCGDRvG+++/j1qt5tlnnzX20IRuRBQXQeikwMBAMjIyqKmpISEhgdjY2PtyafNTTz1FeXk5b7zxBiUlJQwePJi9e/de95BfuL+JZy6CcJsmTJiAn58fTz31FOPHj6eqqqrd3Yu3tzdLlixh6dKlxhukIBiJeOYiCLdJp9PR1NQkopwFoQNiWkwQOuG1114jIiICLy8v6urq2L59OwcPHuS7775DpVIxf/58li1bhpOTkxzlPHz48B61UkwQboUoLoLQCWVlZcydO5fi4mJUKhUDBw7ku+++Y+LEiYA+ytnExITp06fT1NREeHg4mzZtMvKoBcF4xDMXQRAEweDEMxdBEATB4ERxEQRBEAxOFBdBEATB4ERxEQRBEAxOFBdBEATB4ERxEQRBEAxOFBdBEATB4ERxEQRBEAxOFBdBEATB4ERxEQRBEAxOFBdBEATB4P4/zwwSFrXLj8gAAAAASUVORK5CYII=\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Define the generator model\n", + "# Define the generator model\n", + "def build_generator():\n", + " model = Sequential()\n", + " model.add(Dense(1024, input_dim=150)) # Changed the number of neurons to 1024\n", + " model.add(Reshape((4, 4, 4, 16)))\n", + " model.add(Conv3DTranspose(64, kernel_size=4, strides=2, padding='same', activation='relu'))\n", + " model.add(Conv3DTranspose(32, kernel_size=4, strides=2, padding='same', activation='relu'))\n", + " model.add(Conv3DTranspose(1, kernel_size=4, strides=2, padding='same', activation='sigmoid'))\n", + " return model" + ], + "metadata": { + "id": "eX53ppDzZi6F" + }, + "execution_count": 55, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Define the discriminator model\n", + "def build_discriminator():\n", + " model = Sequential()\n", + " model.add(Conv3D(32, kernel_size=4, strides=2, padding='same', input_shape=(32, 32, 32, 1)))\n", + " model.add(Conv3D(64, kernel_size=4, strides=2, padding='same', activation='relu'))\n", + " model.add(Flatten())\n", + " model.add(Dense(1, activation='sigmoid'))\n", + " return model" + ], + "metadata": { + "id": "TB5hdPJFZmgT" + }, + "execution_count": 56, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Define the GAN model\n", + "def build_gan(generator, discriminator):\n", + " discriminator.trainable = False\n", + " gan_input = Input(shape=(150,))\n", + " x = generator(gan_input)\n", + " gan_output = discriminator(x)\n", + " gan = Model(gan_input, gan_output)\n", + " gan.compile(loss='binary_crossentropy', optimizer=Adam(learning_rate=0.0002, beta_1=0.5)) # Use learning_rate instead of lr\n", + " return gan" + ], + "metadata": { + "id": "UVVuOu1ZZmbV" + }, + "execution_count": 64, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Training function\n", + "def train_gan(gan, generator, discriminator, voxel_data, epochs=100, batch_size=8):\n", + " for epoch in range(epochs):\n", + " # Generate random noise for the generator\n", + " noise = np.random.normal(0, 1, (batch_size, 150))\n", + "\n", + " # Generate fake voxels\n", + " generated_voxels = generator.predict(noise)\n", + "\n", + " # Get real voxel samples from the dataset\n", + " real_voxels = voxel_data[np.random.randint(0, voxel_data.shape[0], batch_size)]\n", + "\n", + " # Add noise to the generated voxels\n", + " generated_voxels = add_noise_to_voxels(generated_voxels)\n", + "\n", + " # Labels for real and fake data\n", + " real_labels = np.ones((batch_size, 1)) * 0.9\n", + " fake_labels = np.zeros((batch_size, 1))\n", + "\n", + " # Train the discriminator on real data\n", + " d_loss_real = discriminator.train_on_batch(real_voxels, real_labels)\n", + "\n", + " # Train the discriminator on fake data\n", + " d_loss_fake = discriminator.train_on_batch(generated_voxels, fake_labels)\n", + "\n", + " # Calculate discriminator loss\n", + " d_loss = 0.5 * (d_loss_real + d_loss_fake)\n", + "\n", + " # Train the GAN with noise as input and real labels\n", + " g_loss = gan.train_on_batch(noise, real_labels)\n", + "\n", + " # Print losses every 10 epochs\n", + " if epoch % 10 == 0:\n", + " print(f\"Epoch {epoch}, Generator Loss: {g_loss}, Discriminator Loss: {d_loss}\")" + ], + "metadata": { + "id": "-5lMPigOZmXY" + }, + "execution_count": 65, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Define the noise addition function\n", + "def add_noise_to_voxels(voxels, noise_factor=0.1):\n", + " noise = np.random.normal(0, noise_factor, voxels.shape)\n", + " return np.clip(voxels + noise, 0.0, 1.0)\n", + "\n" + ], + "metadata": { + "id": "SRGcaQPqZmRe" + }, + "execution_count": 66, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "from keras.models import Sequential, Model\n", + "from keras.layers import Dense, Reshape, Conv3DTranspose, BatchNormalization, Activation, Conv3D, Flatten, Input\n", + "from keras.optimizers import Adam\n", + "import numpy as np\n", + "generator = build_generator()\n", + "discriminator = build_discriminator()\n", + "gan = build_gan(generator, discriminator)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "4uwUzrcbZmOT", + "outputId": "19bbc840-d66b-46d3-c5f3-f3a6bedae7a3" + }, + "execution_count": 67, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.10/dist-packages/keras/src/layers/core/dense.py:87: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n", + " super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n", + "/usr/local/lib/python3.10/dist-packages/keras/src/layers/convolutional/base_conv.py:107: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n", + " super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "from keras.models import Sequential, Model\n", + "from keras.layers import Dense, Reshape, Conv3DTranspose, BatchNormalization, Activation, Conv3D, Flatten, Input\n", + "from keras.optimizers import Adam\n", + "import numpy as np\n", + "\n", + "# Assuming you have defined the build_generator and build_discriminator functions elsewhere\n", + "generator = build_generator()\n", + "discriminator = build_discriminator()\n", + "\n", + "# Compile the discriminator model\n", + "discriminator.compile(loss='binary_crossentropy', optimizer=Adam(learning_rate=0.0002, beta_1=0.5)) # Compile the discriminator\n", + "\n", + "gan = build_gan(generator, discriminator)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "UgewMrfUa74O", + "outputId": "79ca5380-d296-4e6e-b46b-2ef845f142d2" + }, + "execution_count": 69, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.10/dist-packages/keras/src/layers/core/dense.py:87: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n", + " super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n", + "/usr/local/lib/python3.10/dist-packages/keras/src/layers/convolutional/base_conv.py:107: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n", + " super().__init__(activity_regularizer=activity_regularizer, **kwargs)\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "train_gan(gan, generator, discriminator, voxel_data)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "19yabnUSaqvM", + "outputId": "5099d919-8394-4827-e704-595736b46a47" + }, + "execution_count": 70, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 172ms/step\n" + ] + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/usr/local/lib/python3.10/dist-packages/keras/src/backend/tensorflow/trainer.py:75: UserWarning: The model does not have any trainable weights.\n", + " warnings.warn(\"The model does not have any trainable weights.\")\n" + ] + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Epoch 0, Generator Loss: [array(0.6997949, dtype=float32), array(0.6997949, dtype=float32)], Discriminator Loss: 0.733644962310791\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 28ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 25ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 39ms/step\n", + "Epoch 10, Generator Loss: [array(0.70051694, dtype=float32), array(0.70051694, dtype=float32)], Discriminator Loss: 0.7020827531814575\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 27ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 28ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 24ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "Epoch 20, Generator Loss: [array(0.69961804, dtype=float32), array(0.69961804, dtype=float32)], Discriminator Loss: 0.7003219127655029\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "Epoch 30, Generator Loss: [array(0.70095056, dtype=float32), array(0.70095056, dtype=float32)], Discriminator Loss: 0.7013204097747803\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 25ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 22ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 31ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 27ms/step\n", + "Epoch 40, Generator Loss: [array(0.7040241, dtype=float32), array(0.7040241, dtype=float32)], Discriminator Loss: 0.7041809558868408\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 32ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 28ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 27ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n", + "Epoch 50, Generator Loss: [array(0.70831203, dtype=float32), array(0.70831203, dtype=float32)], Discriminator Loss: 0.7083694338798523\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 25ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "Epoch 60, Generator Loss: [array(0.713091, dtype=float32), array(0.713091, dtype=float32)], Discriminator Loss: 0.713005781173706\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 20ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 27ms/step\n", + "Epoch 70, Generator Loss: [array(0.71863705, dtype=float32), array(0.71863705, dtype=float32)], Discriminator Loss: 0.7185067534446716\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 37ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 27ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 26ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 26ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 26ms/step\n", + "Epoch 80, Generator Loss: [array(0.72429144, dtype=float32), array(0.72429144, dtype=float32)], Discriminator Loss: 0.7241179943084717\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 25ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "Epoch 90, Generator Loss: [array(0.7301136, dtype=float32), array(0.7301136, dtype=float32)], Discriminator Loss: 0.7299092411994934\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 18ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 19ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 16ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 73ms/step\n", + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 17ms/step\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "def generate_samples(generator, num_samples=10, latent_dim=150):\n", + " \"\"\"\n", + " Generate new voxel samples using the trained generator.\n", + " \"\"\"\n", + " noise = np.random.normal(0, 1, (num_samples, latent_dim))\n", + " generated_voxels = generator.predict(noise)\n", + " return generated_voxels\n", + "\n", + "# Generate new samples\n", + "num_samples = 5\n", + "generated_voxels = generate_samples(generator, num_samples)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "w2rqh86cbSMA", + "outputId": "91b5458c-5396-471f-93d1-533b4c546001" + }, + "execution_count": 75, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "\u001b[1m1/1\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 327ms/step\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "print(generated_voxels.shape)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "hmIFKBk3cNCD", + "outputId": "e47cbcac-f4ab-4a85-be1a-dfd327d48533" + }, + "execution_count": 77, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "(5, 32, 32, 32, 1)\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "def plot_voxels(voxels, num_samples=5):\n", + " \"\"\"\n", + " Plot a grid of 3D voxel samples.\n", + " \"\"\"\n", + " fig = plt.figure(figsize=(15, 15))\n", + " for i in range(num_samples):\n", + " ax = fig.add_subplot(1, num_samples, i + 1, projection='3d')\n", + " voxel_data = voxels[i, ..., 0] # Remove channel dimension if present\n", + " ax.voxels(voxel_data, edgecolor='k',facecolors='yellow')\n", + " ax.set_title(f'Sample {i+1}')\n", + " plt.show()\n" + ], + "metadata": { + "id": "SdqtVF0KcOxd" + }, + "execution_count": 81, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# Generate sample data for testing\n", + "num_samples = 5\n", + "test_voxels = np.random.randint(0, 2, (num_samples, 32, 32, 32, 1))\n", + "\n", + "# Plot the test voxels\n", + "plot_voxels(test_voxels, num_samples)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 203 + }, + "id": "zon9RSdIe_h8", + "outputId": "84584a82-1b57-407e-923d-6c9ffedca980" + }, + "execution_count": 82, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "iVBORw0KGgoAAAANSUhEUgAABLgAAAEGCAYAAABmXSz0AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOx9d3iUVdr+PX3SM+kFkpAECAmh914EVIqLIGJBwK6r6xZ1XX+fdW2r67q7n+WzrO6u6+66qAuEIoIi0nsSamhSRDokAZKQdn5/PD5zzvvOO0lQIIDnvq65Mpl5+5zn3E8/NiGEgIaGhoaGhoaGhoaGhoaGhoaGxiUKe3NfgIaGhoaGhoaGhoaGhoaGhoaGxg+BdnBpaGhoaGhoaGhoaGhoaGhoaFzS0A4uDQ0NDQ0NDQ0NDQ0NDQ0NDY1LGtrBpaGhoaGhoaGhoaGhoaGhoaFxSUM7uDQ0NDQ0NDQ0NDQ0NDQ0NDQ0LmloB5eGhoaGhoaGhoaGhoaGhoaGxiUN7eDS0NDQ0NDQ0NDQ0NDQ0NDQ0LikoR1cGhoaGhoaGhoaGhoaGhoaGhqXNLSDS0NDQ0NDQ0NDQ0NDQ0NDQ0PjkoZ2cF3msNlsePLJJ5v7MjQ0NL4ntAxraFy60PKroXFpQ8uwhsalCy2/P05oB1cTsGHDBowfPx7p6enwer1ITU3FsGHD8L//+7/NfWkXHJ999hluu+02tG/fHg6HAxkZGc19SRoajULLMKGiogKvvfYahg8fjuTkZERERKBz58544403UFdX19yXp6FhCS2/Es899xx69eqF+Ph4eL1etG7dGj//+c9x5MiR5r40DY2g0DJsjdLSUiQkJMBms+Gjjz5q7svR0LCEll+JQYMGwWazBbyuvPLK5r40DQXO5r6Aix3Lli3D4MGDkZaWhjvuuANJSUnYt28fVqxYgT/96U+4//77m/sSLyj++c9/4sMPP0SXLl2QkpLS3JejodEotAxL7Nq1C/fffz+GDh2KX/7yl4iMjMS8efNw7733YsWKFfjb3/7W3JeooWGAll8j1q5di06dOmHixImIiIjAli1b8Pbbb2P27NkoLCxEWFhYc1+ihoYBWoaD4/HHH0dFRUVzX4aGRlBo+Q1EixYt8Pzzzxs+0zbxxQXt4GoEzz77LKKiorB69WpER0cbvjt8+HDzXFQz4rnnnsPbb78Nl8uFUaNGYePGjc19SRoaDULLsERSUhI2bNiAvLw8/2d33XUXbr31Vrz33nt47LHHkJ2d3YxXqKFhhJZfIz7++OOAz3r37o3x48ejoKAAEydObIar0tAIDi3D1ti4cSPeeOMNPP7443j88ceb+3I0NCyh5TcQUVFRuPnmm5v7MjQagC5RbAQ7d+5EXl5egFADQEJCguH/9957D0OGDEFCQgI8Hg9yc3PxxhtvBOyXkZGBUaNG4csvv0S3bt0QEhKC/Px8fPnllwCATz75BPn5+fB6vejatSvWr19v2H/KlCkIDw/Hrl27MGLECISFhSElJQVPP/00hBCN3tP+/ftx6623IjExER6PB3l5eXj33Xeb9DxSUlLgcrmatK2GxsUALcMScXFxBucWY+zYsQCALVu2NHoMDY0LCS2/jYNbBZSWln7vY2honC9oGbbGAw88gLFjx6J///5ntZ+GxoWEll9r1NbW4tSpU2e1j8aFg3ZwNYL09HSsXbu2SZlKb7zxBtLT0/Hoo4/i5ZdfRsuWLXHvvffitddeC9h2x44duPHGGzF69Gg8//zzOHHiBEaPHo0PPvgAv/jFL3DzzTfjqaeews6dOzFhwgTU19cb9q+rq8OVV16JxMREvPjii+jatSueeOIJPPHEEw1e46FDh9CrVy8sWLAA9913H/70pz8hOzsbt912G/74xz+e1bPR0LgUoGW4cRw8eBAAOcA0NC4maPkNhBACR48excGDB7F48WL87Gc/g8PhwKBBg5q0v4bGhYSW4UBMmzYNy5Ytw4svvtik7TU0mgtafgOxbds2hIWFISIiAklJSXjsscdQU1PTpH01LhCERoP47LPPhMPhEA6HQ/Tu3Vs8/PDDYt68eaK6ujpg24qKioDPRowYITIzMw2fpaenCwBi2bJl/s/mzZsnAIiQkBCxZ88e/+dvvvmmACAWLlzo/2zy5MkCgLj//vv9n9XX14uRI0cKt9stjhw54v8cgHjiiSf8/992220iOTlZHD161HBNEydOFFFRUZb3EAwjR44U6enpTd5eQ6M5oGW4YZw5c0bk5uaKVq1aiZqamrPaV0PjfEPLbyAOHDggAPhfLVq0EB9++GGj+2loNAe0DAfeY1pamvjNb34jhBBi4cKFAoCYNm1ag/tpaDQHtPwaceutt4onn3xSfPzxx+Lvf/+7GDNmjAAgJkyY0OB+GhcWOoOrEQwbNgzLly/HmDFjUFRUhBdffBEjRoxAamoqZs6cadg2JCTE/76srAxHjx7FwIEDsWvXLpSVlRm2zc3NRe/evf3/9+zZEwAwZMgQpKWlBXy+a9eugGu77777/O9tNhvuu+8+VFdXY8GCBZb3IoTAxx9/jNGjR/sjwPwaMWIEysrKsG7duqY+Gg2NSwJahhvGfffdh82bN+PVV1+F06nbMmpcXNDyG4iYmBjMnz8fBQUFePrppxEXF6dLJTQuWmgZNuKFF15ATU0NHn300Qa309C4GKDl14i//OUveOKJJ3Dttddi0qRJmDFjBu644w785z//wYoVKxrcV+PCQVszTUD37t3xySefoLq6GkVFRfjvf/+LV155BePHj0dhYSFyc3MBAEuXLsUTTzyB5cuXB6yKUlZWhqioKP//qvAC8H/XsmVLy89PnDhh+NxutyMzM9PwWZs2bQAAu3fvtryPI0eOoLS0FG+99Rbeeusty21+rA0DNS5vaBm2xksvvYS3334bv/3tb3H11Vc3eT8NjQsJLb9GuN1uXHHFFQCAUaNGYejQoejbty8SEhIwatSoRvfX0LjQ0DIM/3FfeuklvPbaawgPDw+6nYbGxQQtvw3jV7/6Fd5++20sWLAAvXr1Ouv9Nc49tIPrLOB2u9G9e3d0794dbdq0wdSpUzFt2jQ88cQT2LlzJ4YOHYqcnBz84Q9/QMuWLeF2uzFnzhy88sorAbXDDofD8hzBPhdNaJrXGPgabr75ZkyePNlymw4dOvzg82hoXKzQMizx17/+Fb/+9a9x991343/+539+8LVpaJxvaPm1Rp8+fZCcnIwPPvhAO7g0Lmr82GX48ccfR2pqKgYNGuQ3wrkH5pEjR7B7926kpaXBbtcFNhoXH37s8hsM7JQ7fvz49784jXMK7eD6nujWrRsA4MCBAwCAgoICnDlzBjNnzjR4pRcuXHhezl9fX49du3b5vdUANb0D5IpKZsTHxyMiIgJ1dXX+6K+Gxo8VP2YZnjFjBm6//XZce+21ls0/NTQudvyY5dcKVVVVASUgGhoXM36MMrx3717s2LEjIPMEAO69914AlKlitWKdhsbFhB+j/AYDl0/Gx8efs2Nq/DDoEEEjWLhwoaXXeM6cOQCAtm3bApAeZ3XbsrIyvPfee+ft2l599VX/eyEEXn31VbhcLgwdOtRye4fDgXHjxuHjjz+2XA3jyJEj5+1aNTSaC1qGjfjqq68wceJEDBgwAB988IGOFGtc1NDyK3H69OmAsg8A+Pjjj3HixAm/waGhcTFBy7DEM888g//+97+G129/+1sAwMMPP4z//ve/CAsL+wF3pKFxbqHlV6K8vBxnzpwxfCaEwDPPPAMAGDFixNnegsZ5gs7gagT3338/KioqMHbsWOTk5KC6uhrLli3Dhx9+iIyMDEydOhUAMHz4cLjdbowePRp33XUXTp06hbfffhsJCQl+7/a5hNfrxaefforJkyejZ8+emDt3LmbPno1HH320QQ/yCy+8gIULF6Jnz5644447kJubi+PHj2PdunVYsGBBo+mVxcXF/qaCO3bsQFlZmV+wO3bsiNGjR5+7m9TQOAfQMiyxZ88ejBkzBjabDePHj8e0adMM33fo0EGXKWtcVNDyK7F9+3ZcccUVuP7665GTkwO73Y41a9bgH//4BzIyMvDAAw+c8/vU0Pih0DIs0a9fv4DPOFure/fu+MlPfvJDb0tD45xCy6/EunXrcMMNN+CGG25AdnY2Kisr8d///hdLly7FnXfeiS5dupzz+9T4nrgAKzVe0pg7d6649dZbRU5OjggPDxdut1tkZ2eL+++/Xxw6dMiw7cyZM0WHDh2E1+sVGRkZ4ne/+5149913BQDx9ddf+7dLT08XI0eODDgXAPHTn/7U8NnXX38tAIiXXnrJ/9nkyZNFWFiY2Llzpxg+fLgIDQ0ViYmJ4oknnhB1dXUBx1SXRxVCiEOHDomf/vSnomXLlsLlcomkpCQxdOhQ8dZbbzX6PN577z3D8uTqa/LkyY3ur6FxoaFlWIKXIw/2Mp9HQ6O5oeVX4siRI+LOO+8UOTk5IiwsTLjdbtG6dWvx85//3LAsuobGxQQtww2DeXnatGlnva+GxvmGll+JXbt2ieuuu05kZGQIr9crQkNDRdeuXcX//d//ifr6+gb31biwsAlxDrq2aVxQTJkyBR999JFeFlxD4xKFlmENjUsXWn41NC5taBnW0Lh0oeVXozHo5isaGhoaGhoaGhoaGhoaGhoaGpc0tINLQ0NDQ0NDQ0NDQ0NDQ0NDQ+OShnZwaWhoaGhoaGhoaGhoaGhoaGhc0tA9uDQ0NDQ0NDQ0NDQ0NDQ0NDQ0LmnoDC4NDQ0NDQ0NDQ0NDQ0NDQ0NjUsa2sGloaGhoaGhoaGhoaGhoaGhoXFJQzu4NDQ0NDQ0NDQ0NDQ0NDQ0NDQuaWgHl4aGhoaGhoaGhoaGhoaGhobGJQ3t4NLQ0NDQ0NDQ0NDQ0NDQ0NDQuKShHVwaGhoaGhoaGhoaGhoaGhoaGpc0tINLQ0NDQ0NDQ0NDQ0NDQ0NDQ+OShnZwaWhoaGhoaGhoaGhoaGhoaGhc0tAOLg0NDQ0NDQ0NDQ0NDQ0NDQ2NSxrawaWhoaGhoaGhoaGhoaGhoaGhcUlDO7g0NDQ0NDQ0NDQ0NDQ0NDQ0NC5paAeXhoaGhoaGhoaGhoaGhoaGhsYlDe3g0tDQ0NDQ0NDQ0NDQ0NDQ0NC4pKEdXBoaGhoaGhoaGhoaGhoaGhoalzS0g0tDQ0NDQ0NDQ0NDQ0NDQ0ND45KGdnBpaGhoaGhoaGhoaGhoaGhoaFzS0A4uDQ0NDQ0NDQ0NDQ0NDQ0NDY1LGs7mvoAfA4QQqKurg81mg91uh81ma+5L0tDQOAvU1dWhrq4OTqcTdruOC2hoXEpgDgYAh8OhOVhD4xJDfX09amtrNQdraFyC0ByscaGhHVznGfX19aipqUFFRQUAwG63w+Vywel0wuFwaIeXhsZFDCEEamtrUV1djaqqKjgcDjidTr/8sgxraGhcnNAcrKFx6UJzsIbGpQ3m4MrKSggh/BzMsqw5WON8wCaEEM19EZcj2FtdU1MDIYT/L0DCDsAv0Ha7HSEhIVrZ1tC4iMCkXF9fj/r6elRXV8Nms0EIASEEbDab/3+Px+MnbK1sa2g0P5iDa2tr/bJsxcFCCDgcDs3BGhoXGThrq66uzs/Bdrsd9fX1flm22+2agzU0LkJoDtZoTugMrvMAdmhxOiYLK78cDoffSP7mm29w/Phx5OXl+b9To1Na0DU0LiyEEAbnFivLLJ/m7VasWIHc3FxERkbCZrMZ5NfpdGr51dC4wDgbDv72229x+PBh5Ofnaw7W0LgIoHIwB5MA+Nt8MCfzdqtWrUKbNm0QHR2tOVhD4yLA2XDwoUOHsH//fnTs2NEv4zrLWuOHQju4zjE4a4sNY/ZOm8FCzts4nU4/WZ85cwZVVVV+ItfKtobGhUEwUrYCkzT/dTgcfqWcs73sdnuAwazlV0Pj/OFsOZhlUuXgqqoqANAcrKFxgWHmYJZTKzSFg1WHl+ZgDY3zD862NHOwmYuD2cFCCD8H66CTxveFdnCdI3CfgNraWgANG8Yq1MiUuj0LOTe3PnPmjH8i0IKuoXHuwYpxXV3d95KrYBleVg4vLqXQyraGxrmBysHc56OpsqWWHAMwRJeZg3XQSUPj/KIhDm5IxlQDWnOwhkbzwNya52zs4IY4WAedNL4PtIPrHKC+vh7Hjh2D0+mE1+ttMOJkhcYyvHgbtZ5ZjT6bI1Na0DU0mg6OFp04cQLR0dFnTZYNZYiwsq32HTAr2+aGuVp+NTTODvX19Th+/DgcDge8Xm+DMlxXV4fDhw8jOTkZQHDDuSEONged1Ia5moM1NM4OQgicOXMGx48f/14cHAxNdXhpDtbQ+GEQQuD48eOw2WwICQk5Kw4OhsaCTjrxQ6MhaAfXD4BKliUlJUhMTERaWlrAdqdOncLOnTsRFhaGmJgYhIeHw2az4cMPP8SKFSswevToRs8VTNmura1FTU2NdnhpaHwPcDlEWVkZCgsLMWTIkAB5EUJg7969OHXqFGJiYhAdHQ232x2wTUNQSVrdnlO5gxG1VrY1NIJD5eDt27cjJiYGGRkZAdudPn0aO3fuxMaNG3HvvXfhzJlahIV5kZLSEjk5ObjlllsaPZcOOmlonHswB588eRLr1q3DFVdcYcnB+/btQ3l5OXw+H3w+H9xuN6qrq/HLX/4SWVlZyMrKavRcwYJOmoM1NL4fVA7esWMHIiIiLGWxsrIS27dvx7Zt23DnnbehsrIaoaEepKamoXXr1j+Yg1WHF3OwDjr9uKFXUfyeMPcJWL9+PeLj4wMcXPv378fmzZsRHx+PmpoalJaWQgiBV155BV9+uRD89F0uJ1JSUnH33XfjpptuQnR09FlfD080aqqnORVbry6joUFQe/WcOnUKa9aswdChQw3bnDlzBsXFxaioqEBMTAxKS0tx+vRpuN1uxMTEICEhAdu2bcO+ffvw+OOPY/DgwbjlllvQp0+fs7oWVdmur6/3k7FWtjU0rGHm4KKiIkRHR6NVq1aG7b799lts2rQJGzZswP/7f49CCKBVK+Dbb4Hqavg52ONx49prx+HNN9/83tejOVhDo+lQe/VUVlZi2bJlGD58uGGb6upqbNiwASdPnkRsbCzKyspw6tQpHDhwAA8//CucPFkBAHA4AIfDjVGjRmHq1Kno37//WcmaysHqSsmagzU0rGFuzbNhwwaEh4cHOLgOHjyIjRs3YseOHfjlL3+O+nogPR04ehSorAS+W1ARXq8LV189Gn/961+/9/UE42AddPrxQTu4vges+gSsW7cOsbGxSE9PBwDU1tZi8+bN2LFjB5577jn07dsXd9xxB7Kzs3HjjTdizpw5cDiAmBjg2DES8NBQoIK4GkOGDMH06dNx5MgRhISEIDw8/Kyu0SzogLWxrJVtjR8brHr1nDp1CitXrsQVV1zh3+7YsWMoLi6Gz+dDTk6OfynjZ555Bi+//CIAwOeLhc1mx5EjRwzy63AA6emZGDRoEG699VZ06NDhrK9RlWHV4aWWQ+lUbI0fI6w4uLCwEFFRUX4HV11dHbZs2YJDhw6hffv2+N///V/8/ve/h88HlJaSY8vMwREREfjkk09w7bXXoL6+Hl26dMeIESMwadIk+Hy+s7pG7fDS0LCGVa+eyspKLF68GCNGjPBvd/z4cRQVFaGgoACrV6/GpEmTMHHiRNjtdqSkJKCurh4uF8nx6dNASAhQVSVlu0WLdAwePBhTpkxBly5dzvoaAR100tCwgsrB7AjesGEDQkJCkJ2dDYA4uKSkBDt27MDzzz/vt5Xj4si5BZCcxsYSB9fVAaGhIdi5cxdCQ0N/sFxpDv5xQzu4zgJqOYK6OgRAGVw+nw8ZGRkoLy9HYWEhPv30U7z66h9RW1vv91A7HHb07dsPX331FUaPBubOBWprAZsNsNtJwAGgZcuWGDx4MP7xj78DAKKjfUhISMTkyZNxxx13BJRINeXazamkOTk5cLvd2uGl8aNBfX09amtrA1ZoOnXqFJYvX45hw4ahvr4eO3fuxNatW7Fnzx5MnToVXq8XH374IZ577jns2LEDbjfQti2wYYM8tsNBRrIQQEYGRaYOHSLZLisrx+rVq/H+++/jnnvuQbt27c7qus0Or0OHDsFutyMpKUkvp6zxo0FDHFxcXIywsDBkZWXh5MmTKCoqgtPpRMeOHeH1evH888/j6aefhs1GMtqyJXDmDHDkCB3b6wVqa12ora2B3Q507AgUFspz+3zRaNUqG3/+85/Rvn3773XtLL+1tbXYvn072rZtC4/HozlY40eDYKskVlZWYtGiRbjyyishhMDOnTtRUlKCp556CsXFxbDbZaaH201ymphIhnF1NX3ucJBs19cDaWn0+cGD9N2BAwewc+dOvP3227jnnnuQm5t71tetyvCRI0dQX1+PlJQUHXTS+NFAtSPNHLxx40Z4PB60bt0ap06dQlFRERYuXIjf//5FnDlT7c+WttuB3r2BpUuB0aPpb2kpEB4O2GxReP/99+F0Ov3lyD6fz9/f+plnnoHP58PUqVMRGhp61tfO119fX4+SkhK0adMGXq9Xc/BlCO3gaiIaW7q4sLAQkZGRcDgc2Lp1K/7yl79g1qyZqK+HP8L03SIQyMrKws6dO2G3k6DX1pJgnzoFuN2SrG022jc7G9i8WV6L3Q6EhIThgw8+wJAhQ876Xs6cOYOlS5eif//+AatX6AwvjcsRKimbV2sBqEfPkiVLMHDgQBQVFWHLli146KFf4uTJCtjt1DurpoZk3+WSijZAsh0VJQ1lhtNJsg0A99xzD95++w3//y6XHWFhkZg6dSqmTp1q2TeoIZSUlMButyMzMxP1312M2vBaO7w0Ljc0xsEbNmyA1+uF1+vF1q1bkZ6ejuzsbNjtdggh0KVLF2zZsgXx8SS/x47RfqrhDBg5GCB5b91acnCXLl3w4YcfYsSIEUhPT8ctt9yCa665Bk5n01ua1tbW4quvvkK/fv3816c5WONyRmMcXFVVhS+//BKDBg1CcXExtm7dil/+8uc4dariO52XMqSFAHJygO3b6b3NRq/4eODAAZJnIWTpMeOuu+7CX/7yFmpr6QuXy4527dpjyZIl3+t+tm/fjvr6emRnZ2sO1vhRoDEO3rRpE1wuF8LCwrB582b8+9//xr/+9QHq60kfdjgoqARI/fi114C9e4EXXyQZFyIEBw4cQFlZGU6cOIETJ06gvLwcNTU1ePjhh7Fr167vzg2EhITif//3f3Hddded9b3U19fjyy+/RJ8+feB0OnWl02UI7eBqAtRePcHIav369Th9+jS+/fZb3Hvv3aiqqoAQQGYmETEAeDwk3KxQJyVRWeLu3fS/zUZRZE6xzs8Htm6lSUAIUrxDQ8nTDQAjR47E3//+d7hcrrO6H3ZwDRo0yNCsTy1nBBCgbHOzPg2NSwnmPgFW9fcVFRX46quv4HK5MGPGDPzlL2+hvh6IiyP545ImgEi6ro7ktU8fYPVq2qa+Hn6ndatWJPcsz5yhGRlJpRTV1UBYGL0HAKfThg4dOmPYsGGYOHFiow1zS0pK4HA4/Kng5ugy36e594BWtjUuRai9eoKN4eLiYpSXl6O6uhodOnRAXFwcAODxxx/Hyy+/CJsNioMZqKmh91FRwMmTkoPdbqmEA/R/XZ00mt1uD+rq5Aacgf3CC7/DPffcY1gJLhhqamqwePFiDBgwwO8Y0xyscbmiKRx85swZLFy4EC6XC/PmzcNrr/0Z9fVUQgwAx49LDlad0l26AJs2kTzX1xM/2+1SvlnvZg6OiCBHWXU1/b937zeIiIjwXw+vyMrzRzBs374dQgi0adPGf49WHKwdXhqXA6zaApixceNGlJaW4siRI7jnnrtx6lQZ6uooSYPtYAZnUqv/A8B1103A+PHj8dxzz2HChAmYMGECbrjhBhQWFqKursYvwydO0PY9e/bE7Nmzz7qqiR1c/fr18+8brKRRO7wuTWgHVwOw6tVjJdQnTpzAmjVr8PHHH+Nvf/srhAC6dyfSrayU/QC4fMlmI+91TY1Mqfb5SFEuK5OCr04Abjcp4keP0mdkSDsxceJETJkyxZ/GGR0d3WgkmR1cgwcPDkq0qpCrzTbNtcuaqDUuZjSFlOvr67F582Z88803ePTRR7F582bExQGJiSTDAMlieDjJLGdi8ufs8MrKAnbtMmaDsAzHxtKLo84AKd7c5LpDB2DnTtlwMyIiFNnZbXHnnXfipptuCrjmkpISOJ3OoI4wK2Xbbrfr5ZQ1LilY9eqxGq9lZWVYvXo1vvjiC0ybNg3XXHMNbr/9dkyaNOm7xrcka9dcA/TqBfz61xQsKi8n+QWIX4UgxdmsfAMko9u3k7FsZUhfffXVqKmpwYIF8+Fw2JCYmILk5GT85je/wdChQw1KMTu4Bg4c6F/VzerezRysKttqw1wNjYsVVr16rLbZunUrduzYgZ/97Gc4ePAgYmKAFi2A4mLahrO4qqpkKw+WU6eTPsvMJA5W9Wf+GxMDJCQAJSVGR1l8fCJeffVVJCcn45tvvsGUKZNQVVWD8PAQpKdnokuXLnjqqacCHF7bv7PYW7dubXnfOuikcTmgqRxcXl6OVatWfeecfhX19QJduhBnnjpF2zidpPfy/yrPtm5NC7+cPh08CzMujoLG334rA8qAHS1btsSkSZMwatQoxMfHIzo6utHEj7q6OixatAj9+/cPuq0OOl3a0A6uIAjWq0eFEAJff/01duzYgaeeegpr165FSAgZqYCMMqm7cdZGUhKlU0dHU7bH+vXGbWprZRQ5KYl6+fDxWrYE9u0j4Y+Pj8fYsWORn5+P7OxsVFdXIyIiwu/wioqKQklJCa6//nr0798ft912G/Ly8rBs2bIGHVxmBHN46WabGhcjGurVo6KiogKFhYX+lRQnTBiL6mqaEtlxBVC/rR075P/qd506Ad98Y2yamZhIJAxIEnc46H1oKDmsjx+n//k4jLZtaW44eRJwuVw4cuQo7rnnHhQXF2PKlCm48cYb8c0338DlcjVpaXR+HqqizYqKdnhpXKxorByCt9mzZw9KSkrw2GOPobi42MDBam9LLvnPyZFGMyM9nThVzaSuqSEeTk8neayullyelkYyX1dnzOgUgqLLaWlU0sjalctlQ0SED/PmzUPbtm1RXV3tL4kO5uCyeh466KRxqaChXj0qKioqUFRUhKKiIjz66COoqKgKKBOOjqYg8Ndfy8/ULK78fGD/fgoQ19WRIR0eLqsdVA4GiIOdTpkFkpqaipSUFKxZsxpCAG3aAIcPkwNczgleDBo0GB9++CEAYNu2bbDZbEEdXFbPw/zSHKxxMaOpHLxv3z6UlJTgySefbNAOTkgguWrI68CH5wCwGjB2uaS+3KIF6di1tUYO7tixE5588skAO/jbb7/F6NGj0b17d9x6663o2bNnow4uq+cRjIN10Onig3ZwmdBYnwDGmTNnsGHDBpw+fRplZWWYMGECADJca2pIgNu3p/LDU6e4XpiEtqxM9t4CjN7q9HSaBFavpnKm8nJJzu3aUd8QXm1CNbIB+j86Ohb/+te/EBkZiRMnTuCjjz7C3/72F9hsMtLMUatx48Zh8uTJ36vhNaCXU9a4ONEUUgao6eymTZuQmpqKVq1a4csvv8SNN45HamotwsIoe8vrJUcTlx6GhBDpqiVMgJRFNow5W5POT9khZWXkzObm8/X1tL3dLldfZMWAg9z19UBkZCTKy8sNSn9aWhpmzpyJVq1aoa6u7qz6//AzUh1e/JzMqzTq5ZQ1LjSaysHV1dXYsGEDdu7ciYceehCHDh0GYORgBnMsZ04zuPclfx8WBiQnG8sp2Chmru3VC1i5UhrMHo+UXz4X/3U6yZg+fpw+e+CBB5CRkYFf//ohxMTEYcyYMZgyZcr3blqvOVjjYkRTOfjgwYPYuHEjkpOTcfXVV+PQoUMBmZEulywDZuezw0G6cXg4BYzVTK2sLOJXlmv+nPm2c2dgxQrrcseWLem4rKMDMDSyd7kc+OabbxESEoJt27bBbrf72wR8n2cUjIO1w0ujudGU1jw1NTXYuHEjdu3ahV//+mF8881+AMSJ9fUkw3l5FCBiDrTZyDbevJk4lTlYDUa1agXs2WN0bqno1QtYtUpmUqscHBMTg7i4OLRt2xajRo1Ceno6/vOf/+Dvf38XgLS7bTbgwQcfwm9+8xsAOGsdGtBBp4sd2sGloCl9AgDg2LFjKC4uhs/nQ15eHpYsWYKrrroKXbtSJpZVaiUr0JxCbbcTEW/fTgp5fj6wbp3c3izYTNJMxunpFH06edJoSAsB/OpXv8ITTzwBIQTi4qJRUyPgdtO+VVWUEWaz0aRjswEejxNZWW2RmZmJZ555xr/M+tk8N7pmrWxrNC+a0qunrq4OW7Zswddff40HH3wQ+/fvQWJiKtLS0rB8+XIA1iVK2dlEuqx4q2XHbdpQtPjIEWn48lLIdXVUHsEZW2xkZ2XRaouffy4zO1m+09JIsedyC0D28wIAj8eNP/7xT/j5z+9HTU0tYmPj0K5dLoYOHYr777//Bzm8VKeCVWRKy7DG+UJTOfjEiRMoKirC0qVL8fzzv/U7p0JDadU0K/lt147k8fhxY0YXGa60auK6dTLaLAQwYQJljrz5pnRSO50yQJWeTkEslYM58pyURDJdXq5mcDpRW1uLhAQ65/793PfLgczMNujRowdeeeWV7yW/gOZgjeZHU9oC1NXVoaSkBLt27cIjjzyC3bt3AHDAbq+D12sM7PLfsDAgN5eCvwx2frH8JSVJ+WfZZsTGyoUlAJLTzExgyxbr+2jRggJOO3bQ8b1ewGbz4N///g88Hg/sdjtCQkKQk5MDj8fzg59bYxysg04aFwJN5eDS0lIUFRUhPDwcQ4cORE1NLUJCaLGHr7+WzmU1u1nNpOTPPR7Sa51Ocj6vW2dszcMBorAwkueaGtqvc2egqIhs56KiQDtYBevVLhedh7PLJkyYgKqqKhQUzITb7UBGRja6d++OV1555axlWnPwxQft4PoOTe3Vs3PnTuzevRs5OTlo0aIFbDYbFi1ahBEjRhhSK2trpaeYUynZaaV6qs3weqnXx6pVxs8zM2n/3bvJ+N27lz6nrC1SCGpq6Lgulwc2G1BfX42aGoGkJJoEvvjCmDXGTbRTU6lkg0dCaKgbCQkp+OKLLxpttGkFVdDr6+v9z1J7tjXOF5raJ+DUqVMoLCzE0qVL8dRTT6K+XqBTJ5LPo0dlRCgqihxWNhtFdXfvlsQZGkpy8803dExVroWg6FN1NTmQ5bLmsqltjx7kCOfG9CSrtF1oKP1/+rRxyfNWrQINaX7fqRM5wk6dUq8/BuPGjcPLL7/8vZ+nlbJt1TBXQ+NcQC1nAmA5toQQ2LVrF3bt2oVXXnkFX3zxBcLCSNlVF0PjEqTycvpfVazr64mTDx+WzaeDBaTsdnJifbdwEwBp+HKWl8NB2dYnT5JMs5HN57XbZZNdNXDFHBwbS5zObQp++9vf4oEHHvghj7JBZVtzsMb5QFM5+PTp0ygsLMSaNWvw6KO/QV1dPTp0IHk8fFhyWESELDFkcDal202VDnv2GDOwbDaSp6NHjQY276OuUB4TQw4vlv+oKLmSucMh+wQxqHWICwcOHEJZWRl27tyJ6upqVFdXIzQ01NAH1+1249lnn8XSpUtxzz33YOTIkWfNlQ1xsNPp9MuwdnhpnCuYOThYSeLu3buxbds2/OEPf8CRI0dQUrIZiYkU4GUbE5ArnyYlERdXVEh5S02lJI2KCmMZoxDkiOrShZzZLNtcRaEen8HzBS8ekZhIWZyA7M/XujX1ueUS5tpaICIiHCdPnkJ0NAWc166lfX75y1/i/vvvx7XXXot+/frhzjvvRHp6+lk9S83BzY8fvYOrqb16qqqqUFRUhOrqanTq1AkRERH+7yoqKtCqVSuUlZX5jVfO8lCVZ44AAySQLhcZz88/D0yZIr3TzIOqA4wvSc3iSkykY3Lj6tBQY6lE166kmJeVSaUhJISM5c2bZRq42pcgOpp6kQCkaGdnZ+O2225DTk4OrrnmGkyaNOmsnV5qz4ElS5agU6dOCAsLCyiH0qnYGt8HTe0TsH//fmzZsgVvvfUWZs0q8JOvipwccnaxswgwlgLbbEBKChmwdXXkzLbZKAKVkECkefy4lOH4eIoWqRFpPg71CyBZVEse+Xw+Hzm2mXS5RLKmRmaIHD0qyzc4Q/TgQbovj8eNAwcOfq/Ua6tnzL0WSktLkZeX548uq0StHV4aZ4um9uo5c+YMiouLUVlZiY4dOyIrKwunvrNCVX5MSKBsrUWLZJk/c2Z2Nv39+uvASLIQJP/btsF/TJtNKtTmeYDPFRNjbFzNyjODs7YB4nyfj+TWZiNH+aFDxjLI9u3b45FHHkHnzp3h8/kQFhb2g3lR5eBly5ahffv2iIiI0NFljXOCppYk7t+/H5s3b8bf/vY3fPLJR/7sDVWvbd2a5IP1VkB+53QCffsCS5fS//X10iFVWUnyBMh+mADJaFUVzQOqbDocVB6lrqCqZo6wM0x9P378eLz++ut49NFHkZKSgtGjRyMzMxOlpaU4ceIESktLUVZWhueeew5r1641ZK54PF6MGjUKN954I4YMGfK9HV779+/H0aNHkZ+frzlY45ygqRxcXV2N4uJibNu2DQ8//CCOHj3utzt585AQ4lm1z6XZOZWbS5zJrXZCQmSpcU4O2bTMyw4HOcP27KF91ZXJhSAdOy6OjsfzhZrZ2bEjZUpz9ibPAUKQbNN9GTk4IyMD3367D9XV0gh3Oh3461//hjFjxnzvZwyQw2vFihXIyclBVFSU5uDziB+1g0sIgcrKSkO0yWpgHT58GBs2bEBCQgLatWsHp9OJ+vp6PP3001i1ahXuu+8+vP7661iwYIEhwuTzyUbTDKu+WfHx5MlOSJBZIX37kqOMV1VzueiYp0+TUys6mgTe3B+Ez82EzIpBTg5Fx0pLAw13txvo1o285bwcOqV4e3DmzBnExtLxTp6k/V5//XXcfPPN3+uZf/nll+jevTtCQkIM/Qf0csoaZwtOpa6qqmowdb+2thabNm3CsWPHkJWVhZyctv6SA0CW/UVHy4gxN4o/fJjIkA1lQJJncjKRpuqcYtJNTiYHFGdlMCmzkzsnhzKyqqqMPfh4O5ZhPl5EBEWYCgvludTINSCVBpmKHYJOnTpj/PjxGDhwIGpra3HllcNx6lQZUlMz0LdvX9x+++3o2rVrk5/53r17UV5ejry8PEN0ma4nkKi1sq3REJrKwUePHkVxcTFiY2ORl5cHp9OJ9PR0OByHcOAAKa0dOpB8UN86uSIxQPJUV2d0PLVsSc7iQ4ekYauWHfftS0r66dMyQORwkFyGh5NSvXu3kYPj4ymKbeZgl4uOMXw48NlnxjJnjij37EkczJmdoaEeREXFoHPnzrjvvvvQqlUr+Hw+hISE+J/R0qVLkZubC5/P1+Rn/tVXX6Fz584ICwsLysE66KTRVNTU1KCqqqpBna22thabN2/GkSNHkJ+fj/T0NL+BKQTJQ3Y26ZiceeFwkE7M/a9UvmODOT+fZF4NHKmlicnJFKw6eVL276quJplr04aCuWrPS148Qm1czedjjlZhtwOhoeF46623cOWVV2Lw4EEoKdn23fMwZnZmZEgjnYz2NPTu3QdTp05F7969m/y8v/nmGxw/fhz5+fmWGV6agzXOBszB9fX1DWYEqq157rzzThQXF383/mXFQadOUufl6oOoKGDMGOD998kmPnHC2DcrNxfYutU6oOx00hxw6FBg32mnkxxjaq+9kBC6niNHaFurRBOXS37udNL5N2ygY/TqBaxZI/voejw0R7HtO2nSJLz44osIDQ39Qby4ZMkStG/fHpGRkX4ZViudVIe1dnh9f/xoHVzcq2fZsmXIyspCUlKS5Tbbtm3Dvn37kJeXh5SUFADAtGnTMGnSJMO2ampldjYJRVGRsW8OQATqcMjVYDh90upXYFLNz6eosnoc1fDt1AlYvFh+x6XDZ84QqZaXG7NKkpJokmFiN5dO5ueTYq8az+oEcfvtt+Ohhx6Cz+eD1+tFfX097r77bnTv3h2TJk2Clz0HFvjiiy/Qu3dvhISE+D9To8va4aXRFLBz6+DBgygpKUG/fv0sx0ZZWRmKiooQEhKCDh06oK6uDjExMbjyShrrc+ZI0mW0bk0KqVoSGBpK8ldfTyRYWEjyxTLv85EzTIVqLHs8gY3pGfn5JJ9c0uhw0Pm48WZurlyRja+nXTuZacKKhM0GjB4NzJwpz68qA2zcd+tG88/x44DD4cDx4yfQVOzevRunT59GXl6e4fNg5RRa2dYIBo4Yr1ixAmlpaX5+NW+zfft27Nq1C08//TQ2bFiPxMRU9OvXDx9++GFAVqSZR9XSRLVxtTmbuq6OVi89fVoGmdTv8vOpFw/37lC/Cw+XJZJqBghAxnRaGinyXDbFnBsZSQ51VUdgRT0/nxa5UBviezwuDB48FA888ACioqLwyCOP4KuvvoLNBkRFRSI9vRXee++9Rptec5ApLCzM/5nmYI2zBXPw4cOHsWnTJgwYMMBybJw8eRKFhYUoLi7G//t/jwAAqqpq0KYN6cpz5gQemxcH5h6UUVFkZC5aBFx7LXGjx0PywzKTkEBy+Pnn9B1nbLlcJLc5OcZMSzXrMy+Pjs/VC5zdzdtwU2yG00kBMG4V4vG4UVdX589gEwIYNowMZy5XVnX9zp0pq+TIEcBut+HEibImP3fOos7Pzw/4PXTQSeNswBy8atUqJCcno2XLlgHbCCGwY8cO7Nq167vMxJVwONw4c6YaI0cCCxYE6rYuF9C7N7BsGemdZv03OZls123bpN0ZGUk8yBzLHM18mZdHOvnp0/S93Q5MnAg8/DDptG3aSP6uq6NrAIhDW7Sg8x85Qp+xXmAOEvN3zMElJVLPBwCn044BAwbhwQcf9Jckc9Cpvr4eP//5z9G6dWtMnToV4eHhQZ/74sWLAyrBNAefe/zoHFzmPgGrV69Geno6kpOTDdvx0sVCCHTs2BFhYWGor6/HwIEDsfq7LpdOp4zYqqu8ZGQAL70E3HWXTItUn7Ka5ZGYaMzKcLlohZfJk0nBTUkhIuToscdDAltVJRtXM0JDSTHYsMF4z3y+tDTKUuHUUVas27cnoj59mj5TiZ0N+OpqoyLetm1bvPjiizhz5gzuu+9eHD581H+ukJAQvP76G7j22msDnv3ChQvRt2/fBhv4BRN0c8NrLeg/Tqip1MeOHcOWLVswYMAAwzZCCOzZswfbt29HZmYmMjMzYbPZUF9f/130Rd2W/sbG0vjmaBQ7p4YNo6iUWvaggksW6+uNqx9GRJACr0aYAZK3jRtlzwA1MtWqlXRI87VZGfFq00xe6VEFK/3h4TRPqc11ATV704H587/wE3VERASeffZZ/Otf/8K1116LKVOmGAzmr7/+GlVVVY2uvGpWtOnajQ4vzrrT+HHBzMFr165FSkoKWrRoYdiusrISRUVF2LhxI37xi5+jpqYWnTqRHLITym6XPMiLr+zZI5Vmh4Mc1ps2Ga+B5SgxkZRftbGtKsMdO9K5uFeP200K74gRZEhzmRQg2w5kZ5N8q+ey2Wi71FQyxDnKDZAxzWVaqhLP95CSQtdAc4ENeXl52LlzO6qqziA0lM5XVETHGj58ON555x0MHjwYSUlJmDx5Mq699lq42eMGYOHChejVq5chyGT1G2kO1ggGlYO52fTgwYMN23BJe0lJCd5//31Mm/YfeL3Ug3LxYpIHDi5lZNC49/lIvzX3v+IyKO436fMB8+cDDz5IDjIuZ2IOZpkMCyPH1vr1xs+8XpozwsPJoDZnbJnB+gBAhvuGDfIaVW6OiKA5hfvzcb/c3/0OmD4d+G4NG/8xyRC349NP5yM+Pt7PwS+//DLeffdd/OQnP8GUKVPQtm1b/3579uzByZMnG115VQedNILB3Jpn/fr1SEhIQFpammE7bs1z8uRJTJw4AadOVSA/nxxP+/bR2GfHrcMhF17hTEXAKI/m8n2AbOiMDOPiEeZgVcuWdD7OhladZdyB47rrgEcfJecxZ2KpSSFmML8yDWZmylJGrubgbbiPdk0NEBUVhZ49e2LFiuWorj6DnJxc9OzZE7NmzcT+/Qf8x3Y6XcjLy8Ndd92F6667zsDBixYtQteuXRt0gmmH1w/Hj8rBZdUnYPXq1UhNTUVqaqp/uwMHDmDTpk1ISUlBTk4O7HY7SkpK0L17d9TUVH93LBKoRYukQJiNSFWw3W4qaeCSRXPmlPortG5N5Hn8OBHzO+8Ar7wi92MyZ2WbP4+IkGUZbjeRd0PXZD63+r59ezK0OaJltxv7FQCAy+X6TgBr4XSSoXGA5BuDBw/GY489hlGjroLHE4qBAwfi2muvRWhoKAYNGmQQ9sagCjq/7HZ7QHRKC/rlDas+AaxcDxo0yL9ddXU1Nm7ciN27d+PMmTO4/vrrYbfbcfjwYeTm5uLUqVMICyNleelSeXzVsM3IIEWYDWNWRtnJm55OssGZUwBlgOzcKVd5CRYhYjidtA3V/NM5du40no8Ve16Rkb/jiNbOnYGZmIDMKuFeJXy8P/2JZPSFF2Sq9r333othw4bB5XLhySefxJo1a/yrOvL52rfviBEjRqBfv35ISkpCTk7O9/rt1GabqrKtrtKocfnCioPXrl2LxMREQ/T40KFD2LhxIz744AP8+9//DFpu0L49rYLGhimPabsdGDgQWLmS5IPLoeLjiYNVxzGXGEZGUtR4715jtqR6PjaImYPtdjK2y8tpbqirk5meNhvJ76hRwLRpMtNSdZ6z4s5Qz2W3kwwXFtJxzTpDp07kSFNXkevevTs2bizEmTM1/mdGZSRhGDJkKMaNG4fw8HD079+/wUxrq99NO7w0rDi4vLwca9euxZAhQ/zb1dTUYOPGjdizZw9OnTqFhx56CCe+S5NuyJGkcjBgXPnQvJ/HI8uOWabatKHsZLW83+zwatuWHMKc5WGzyUxLr1dmRvP5evSgABZnazV2D2p5Mt9TRgbdy+rVwIwZ1Ffz6aelwU+llXakpKShoqIChw8fDuDg3Nx8DB8+HIMHD0ZcXBxyc3Mb+bWM0EEnDcCagwsLC+Hz+ZCRkeHf7siRIyguLsbOnTsRHh6OW2+91f8dy1br1mSD7t9vXS3AHAlIJ5jLRRzp8ZDdzCXJADmSYmKI18wcnJgosyHV3pl0T0aZ5PmASxy//Vb2+jp5Ul6TzWYtx3Y7zRWnTpEesWoV8T4ne/D9d+5MmZ3V1VLHSE6WnO50yvLqkJBQDBw4COPHj0dkZCT69euH0NDQs/rdNAefHX4UDi6VlFXjCgBWr16N5ORktGjRAnV1ddiyZQsOHTqE9u3bIzExEQDw/vvv44477gBAXt5jx2TqpNmbbF6pRXzXBK97d1rFkAnZ56NSwa1bSZC4RwDvp0aF3W5pxApBxnVpqSyxkOmT9Nfno3245Ikj2cOGUdTL45F1ywAJvcsVuGKNurLFgw9S6dO2bTJ9m9NOW7ak4+/bJycxwIG6ujqEhlJWypYt8v6SklLRpUsX/PrXv0aHDh2+1++pCjk9s8DlWLWgXz4I1sS2rKzMoFyfOHECRUVFWL16NX772ydQXV0Pl8uG8PBolJaegMNBSrC6NLjHQySoKrCAHP+pqUTEW7ZY9wkAaIzv3Sv76XAjaY5wqYapy0WZlsGySpKT6Zxr1sjvuIdQXR1llRw4IEsizQo1Z5WqYMM/I4PO/fnn9Hl4uIxEq4YArwRbVyf79x0/zhmaHuTk5CEvLw9PPvkk4uPjG/7xLGDl8NKry1ze4KwtcxPbdevWITY2Funp6airq0NJSQl2796N559/3p8t7fXS2KyupjFcVkaZH8xhKSn0P2c+mZ1TDgdw5ZXEwdxfw+0mud26lYzb0lKZCcnn4wgwl0uw4tyyJXGgmqHN/AwAV1xBxixzNEDzzrZt5PTKyyP5Vg3vyEgZIAoJIc7neaZFCzo2O+fM4Pt0u92orq6G0yn1Bo9HZrHV1wMtWrRAYWEhVq5ciWPHjmHMmDHfu+G1Djr9eBCMg0+ePImVK1fiiiuuAAB/0Gnt2rV48snHUF1d53ciZ2eT/HH2R20t8SM3kt61y7h6sMqJ8fGUORXMYsnOpv3ZiRwTY+Tg2lqpC9fUkB7duzc5n60Wj8jIkKuZM09ygItXfVQN7i5dgNtuA/74R3KysV2gBrL4f6/XmKUWH08yumyZ/CwkhPaprqa549gxOd/MmjULffv2xRtvvIHrrrvOb6uc7e8ZjIN10OnyRDAOLiwsRFRUFFq1auVvzbNz50784Q9/wNLvosA2m8zSSkuTSRiM1FTiz/LyQJ3UZqMekxs2SKctZTnJIIzaX08IkhGHg84TF0fydPKk5OCUFNr3yBHaPiODdHA+To8elEnJi1Wo9rrXS3r0mjVyPvF6Zd/s8HC6fpbhq64C5s617qHNcxX38GIZ5oqrykq6z3btjDp/fHwi8vM7YOTIkZgyZcoP4mB15WnNwRKXvYOL+wTUfudSNjfQW7t2LeLj4xETE4PCwkI4nU507NjRX1M7ePBgrFq10jKam5tL71VjOSJCNqXl3lnswVV7gACBjaQjIykirZKcGW3bUl0wIJcnr6ggQUxPl/XHfIutW1PqN68SoQpnSAjVLi9bZmym6XDQZLF9u+x98NxzdJw335QOODbc09Kkc6ttWyJ9bsitRspdLprk1q+nZxQfH4+dnLLyAxDM4cVErUamfqyCfimDndN1dXUBk3V5eTlWrVqFoUOHYteuXdixYweefPJJFBWtR309ZTns3m10Bqsy7HbLqI7aSLp7d8p+Uldhs9nI0eVwkHJrtZhDXh4Z2twUU/2Os0pWrSKZ5Wvp1Qu4+WbggQfo2OZ+BkOG0P5ffhn8GamyrZYSqxEuhuq4Zmc13x+t4mbMiuHjsBIRHU0RcL7+8PBQhIVF4qc//SmmTp2KyMjIJv2uKoIp23p1mUsfjXEwK9cJCQko+q7WbuzYMSgvP4WoKAoqrVtnfey2bYmHuEcdj202aNu3Jx47c4ZkpG9f4Kuv5P6qDHfuTOX73bvTX15hVZ0v0tNJCea2Atw7xGYz9vEDrLM8+FjmOahjR8rqUDPVAAqCsWHP56uvJ8N8+XKZPcaBpfp6kunkZDKyVaOB36elpWH06NF4443XvitztiE2NgE33ngTnnzyySC/YsPQQafLGw1x8OnTp7F06VIMGzYMu3fvRklJCX73u99h5crl/jLfvXuNqyKq4z8hgcY8f+92k8OX5cmcmWHmJTa6+Zjt2pF+qWaVqJw3cCDJ2qlTtK/NBtxyC606/sADtC3PF4A1D5rfA9KIPXmSdA5Gr17Ep6xjqE2uXS46vrm9QUICOdEWLLD+PZ5//nm8/PLvcfToMdhsQFhYCMLCInHnnXfitttuQ0xMTOM/qgmagy9fqBysLujCKC4uRlhYGJKTk1FUVITt27fjvvvuQU1NHSIiyI7k1byBwFUR27UjvuFFk7jxPMsHZyOqvTC5DNBsB4eGkrN46VK5P8tpbS0FlxIS5PWo8sRg/uf5onVrCh5xX1tVbtkuLSyU3zscgU5ovu/4eNLv//lP4L//JQc5l1pzkonTSde5Y4cxI5vlvGdPcnbxau3MwWPHXovf/e533/s31kEnIy5rB5eaSg3A0kO6bt062O12HDlyBGlpaWjdurV/u5SUZJSVEcuGhFCKsVpbDBgJt0MHGrRWZDxgAEWKjx2TWR6RkVIoWreWjjL1F+EUT9VLzN7rxEQyNNX6ZrUnCC95rpYoMXhSYGG22eQ1qAq4eTJgJTo3l8qj1BpndTl0Ph9PbGpWifwuDH/4wx/Qq1cv+Hw+REZG4sYbb8S6deswZswYTJkypdE+A1YI1nvgzJkzCA8Ph9vt9hP1j0XQL0WYe/VYTcynTp3CsmXL4PP5cOzYMUyefAvKysrRuTPJKmcd8XLkTETqqogAyUP37tT/Ti31s9spMrVvH8nTjh1SmfZ4SDbOnKFMkNJSo5HbsiWdX80qsdkCHcQhIeTgevtt4P77gQkTqMdPXR1Ff5KTgT59gI8/liVLPh9dh3oPycl0vVwGrcotKxEccfL5yBnPirjDQRGv9etlU02Ph56TVWNOgI4RH0/zmgqHw4HOnTtj0qRJuP76688qDZt/dwAByjYbV2FhYVrZvkRg5mCrObe4uBh1dXU4evQoWrZsiTZt2iA2NgJeb51hJURu6H76tMwwVJXY9HSSqd27rTnYXMbLqzCZ+9exYet0ygwvFSwHVv271Ihux44kn7ygjM1Gkejjx2W/PV7IwpzlEawEirOmZcYWfV5dTfzrcMj+PzYb6Szl5dKAoGdph81Wj7o64vFvvqFtPB43Dh06fE568mgOvjxg7tVjxcGVlZVYtGgR4uPjcezYMUyZMhnHj59Ahw7ERUePyrHXsiUZmtXVgRzsdBIHMQdzbx+3m4KoO3bI1VEZPXrILKv0dJJlziqx2Ug+1UxLhtlRlZwMjBwJ/OUvFKTauJEM3J49ydBmA9rrJV2B5ww1s5N5PVjrEYCC3uXlMlvc5aIg8/LlMtilcrDNZlx5ztxv0+eja1cb4AMky++88xdcc801jfzC1miIg202G8LDwzUHXyKor69HbW1tQOalio0bN6KmpgbHjh3DzJkz8c47b8HjIX5Yv97IwV4vycrHH8vWGSqXduxIdjA7vzgING4c8Ne/ks6oLrzg80lONDvObDYKYo0cSe01+HOVHyMipEzwe/7bvj3p0JxHwau2hoWRvp6ZSfysZnnGx9N3aqsRMxwOssFTU2m+YqSnE0dzmTNz8MmTMnCt6tH19eQcPHCAnX1OHDp0BPfeey8+//xzjBw5ErfccstZrXTOCBZ0OnPmDMLCwuB2uy/7xI/L0sFl1Scg2NLFS5YswZkzZ5CVleVvpjx9+nTYbDZcf/31cDpJwGprKXOKe+LceisZm/ffTwRz4IB0RsXFkXCo6ZuAHNCdOhHBlZZaR1jVPiIc0QoPl4a5z0eKMd9SVBQJEQux2iBPCErdtttJ8eVfm5vm1ddTVLukRCoBXLd88KCcRKKipDfb4ZBRb3WVGjaik5NJ0FXB93qlQdK+PT0bNsTnzJmD2tpa/PSnP8W+ffsMzjBy/rXDsGHDcMMNNwSs3tYUsKCry6NzhpdaDqWbbV48CFYOYcb+/fuxYcMGhIWFoaioCA8++CAAo6EJyCa2gOxXd+qUJFW3m2SOy5nS0uQKTizz7GiOiqI5YeVKeR1mImzbluRNdUq3aEFG8dq1cs5Q+/EwVMVfzaxSoaZ3AzQnVFXRiyK6dE9WzeUBeU6rDC9GdjaRPz8jdoKtXEn3ceSIXBXK46FrOHCAZF0I6fy+99578cILLwSeoIlgitqzZw/Ky8vRrl07HV2+yHE2HLxs2TJUVVWhU6dOSEhIAAD4fGEQog5VVSSr/foB8+YZOZIzLdLSSBZ27ZIcHBtL37ExzIo4y7DDQQGdkpJADnY4gKFDybBVs7h4HggLo+N9/bWUn8hIUox37Aj+TLjxLSvpauS5Tx/a9+hReQ3slBeC5g61VxcAjB9P302fHtiDDCBjessWa6OgQwfiYG7Wb7MBERGR+Mc//oGoqCj4fD5ERUXh2muvxYYN65GZ2QZDhw7FLbfc0ugCE1ZgDl6yZAny8/MRERFhyLJWy6G0DF8caCoHHzx4EIWFhUhISMDmzZtx++23B2zTpQvJInOqzUYyo3KweaU11RnNssdITDT27qHrM7b3aNeOxvfJk3L/hATKvm7bluSJF1QKZgWpernbTdzPZY/qd3FxdEyuvuD5wumUrT/UMklVL1A5WL2W7t3JTuBWBDabsSWK3W5cmdHtpnlv/376fty4cZg6dSrGj/8JXC4vevbshTFjxuCmm26Ci5eYayKYg7/55hscO3YMeXl5moMvcjTUmkdFXV0dli9fjlOnTqFVq1YYOHAgSr8btDxGQ0OBQYMkB5vHf2oq6X1sg7Jjp7pa6rLmBvNuN9nRs2aR3hgeTty1bh2V+q5eLRdr+vWvgcceo8xlm42+czrp2KzTqnapCnNPMHPWJctPr15kI/C8orYa4Uoldkw7ncZeWyrUc+TkyL68fI2hofQ6dIjahfAzoznQi7i4eOzbt8/Qd9fpBDIz22Dw4MGYPHnyD0r8WLZsGdq1a4eoqKjLnoMvOwdXU0m5vLwchYWFWL16NZ566nHU1NQhMjICgB1l32nFbNRddRXw5JMk4HV1FEEOCwMGDybhZGRkkFeXSY7r9jkCk59P5MNZJQA5gg4eJEXW3A/HZgvMqgCMiqrPRxPLgQOBqZqJiSSY5n489FxkarcKh4MySD77TKaPVlZK5WHAAJqATp40TnJscMfEkOCqhnl6Ogn6vHnWv1lIiBs1NbWoraXZkleKZGfgt99Kkg8NdSMrqy1at26Np59+OmDVj2DgFRz79OkDj8djGV3Wq8tcHAjWJ0BFfX29f+niZ555BmvXrvGP5w4d6PWPf1CJz8GDRpmZMoUiptu3EwkfOSLlUe2dw1Edj4cUYa+XxjGX5wH0NyuLiJGdVapMpaaSTHD/G8CoGHTrRnMDK/7mzI3cXDLCuezY4SDHE2dmsswPGAC8/jo5j6+4gq532bJApcJcYgWQ0l5dLbPFjh41ziOtW5P8qUs2cz8hh4Oi3Js3k7LBxjk3EgWAgQMH4t1330V0dLRfsV6wYAEOHjyIiRMnwsl53Y3g66+/RmVlJdq1a2eITvH40Mr2xYGmcvDJkydRWFiI2tpaJCYm+psmL1myBMOGXQEhjIsrAKQYduhgDJ6ohm3LlpQZpZYhqvLWvj3xE8u8ELTP4cPGzCh1P5XjrDg4MpKU8P37pTzm5ZFMxMfT/hyxBsjIBiSnqfchBF1jRYWMLAPWq0+pZRjR0RSoWrhQrrLMTbi9XpqjioqkA9AqO8zhAPLzO6Fv377o2bMn7r77LlRUVKJDB3pmrPjv37/fsLz52eDLL79Ejx49EBISYsnBOuh0caApHCyEwM6dO7Fr1y7U19fjiiuuwMKFCzF69Gi0akXj1+cjXdG8SuGECVR2u2VL4EILQ4cSP5WWytLbkBDrciGbTWZ4cesO1qNdLpmpoZbtA9ZOLf6MDeYuXejYK1fK7EoOnLVrR/qDlUEdHk77LlliLJfOyaFzbNlibC7PAbfKSmPfLtUZ5nBQQJ3LslRnGJc8bdtGtgXfV+fOnVFUtB5eL+kRvFhFdnZrrFXrzc4Ce/fuRXl5uT/QXF9frzn4IkRTOfjUqVMoLCzExo0b8cgjD6GqqgZOpw0Oh0Dv3hTkMZfQejw0Fs2tdFT7Mz6e9NpgjiUGO21VOVK5zpx1bcXPISFA//7UwqO2VspLVBTJ3LJlMCzYwI6qoUOpJ6eVHWy3k069eLGcs9QguDpX8GIVnJmmyjzPJV4vZYtxqwH1fqKjZeWHen9qH9y8PJJt7tG5bds2JCQk4Pe//z3GjRuHrKyswIcbBF999RW6dOmCsLCwy56DLysHV0N9AhhCCOzduxfbtm3D888/j2XLlsFmowbsq1ZJI80sWGZw6r95ZSd1P9VhBQTW9HPPD45g8fb19dQPYOtWGWGy2WQTzZoaY0QrI4OuRc0IU8/J51OFnCNMQsjjcATN4ZCrP9Aza/i58zlsNqlIcL+T1atls9zaWmDsWGpW73TS+Tn1mp9Lt27k0LPqe5CZSQqTWhISFuZBYmIq5syZg5SUlKDXWFdXh0WLFqF///4B0StzOQUgibqiogK7du1Cz549NVGfZzTWq4dRWVmJoqIi7N69G3fccTtqamrRogWNDzZs1bRlgNKmT5yQEZgbb6QaeqtSIHU8c6aVlWGrZnaxs8ntljLmckkllTIk6Htz5Jn3b92ayLq4WCoTqhwCdI979khlW712zvyaNAm4807pkOfjmEkcILI/dMioWANyWzXzzar/CRvL/F27dkTypaXGEhCn04U+ffpg1KhR2L17t7//j9NpQ3R0LK655hq8wkvFBsHOnTtRW1trWDIdMPYesFpOuaSkBElJSUhOTm7w+Bo/HE3l4H379qGkpATvvvsuFixYgN69e+OGG27Ar371Cxw/XgqAxlR4OI1pdjZzXwyWqZYtKfL64Yd8bOlojosjx86KFcEDOu3aySwu5pmOHUkuZs82rloMkIzyKm0qB6em0jGOHpXbq9mhbFxHRhIfqop/fDw5vTZsMPYq4QzU7GzK7rKS4S5dyFHGWRterwxIORx07IoKY6ZMXBzNhTwnHTsmS0PUEisVquI9b948tGzZEj6fD6GhoU3mRTXIZF7BsSEOrqqqwrZt29C7d2/NwecZjfXqYVRVVaG4uBh79uzBr371K7jdbkyZMgXr16/HnDmz/WNFXRylfXviZG7zYQ7Iqism8njr2pUcSRxQVb+z2eQCMJs2SQ5SS/vi40m+VR0zJYWCpmoglcd+VhZdV0mJ1Dm57QbfT24ucTQHdVnvP3NGBn6A4IazuYSxWze6/spKuY3XS/e2fbsxo9vplNUUZmdYsLJmdRsAyMrKwn/+8x/4fD5ER0c3OcAEyCCTeQVHMwerDi+Xy4Xt27cjNjYWLVq0aPK5NL4fmsrB+/fvx5YtW7Bq1So888xvIQQlbWzcSHLIcqHqtz17Ep+yo4c5eeRIyiQOCSHdjzk4JoYCTrxgUkgIfc5jt1072r+w0LqioFMnynDiRdjYDt63T/KcOi+4XLJs2dzkXs3u5M8AOr/HIzMtY2LImcQcnJREn3PFkdm26NSJ9lXnNbU3b//+ZLNyb27OtDx4UMozZ5dz9UVGBs0xKtT58v3338dDDz2IgwfJmAgNdSM+PhnTpk1rdIXzhQsXomfPngGtQ4K1FXA4HKipqcGmTZvQr1+/S4uDxWWA+vp6UVNTIyoqKsTp06dFZWWlqKqqCniVl5eLZcuWiQ8//FCkpCQLAKJFCwibDQKgvzYbRM+eEKGh8jNAvtxu+Z6/czggwsMh7rsPwumEiI+nz+12+g6AaN8e4tZb6X1ystwPgMjKgmjb1nguu13+368fRHo6fcb7xcTI/3k7Pp/LRedzOgOvGYCIioIYMCDwfPy+dWuIXr2M+zgcEJ070/uWLSFCQozfZ2fTfdtsgdelPi++Z5tNHsPjgejfH8Lrpe9tNnqfkhL4rO12esXG0j3y97/85S/F9u3bRWJioujUqZN4/vnnxd69e0V5ebkoLy8XR48eFdOnTxcnTpzwfxbsVVZWJkpLS8Xx48dFQUGBSE9PF/X19c09zC9r1NXViaqqKlFRUSEqKiqCyvDevXvF7NmzxfXXXy8cDpLT6OjAcWIe01Yv/p73Zznp3Vt+xmM2I0OOXYdDbmu3k7z1709/zce/9lr6m5dH412dM8LCILp2pf99vkAZTk2V8mG+vw4dIFq1ktekzidmueW/ERHy+BkZxuOFhtI1mue5yEj6m5REc4Z6XL5+ns/atZPfO50QiYk0LwL03jwf5OWRHAMQLpdDnDhxQtx1110iNjZW3HTTTWLOnDkGuVyzZo1Yu3Ztk+X3xIkT4tixY2LQoEHijTfeaO4hflmDObiysrJBDj558qRYsWKF+Pjjj0XLli0FQOOcx4bTKbnhttuIa1wuGod2O3FMXJzcTpUnrxeiSxfaLiFBcgXLQGYm/HMGcyO/MjJo/PLxWD741bs37a9ysM8n/1fnmtRUkp8rr4R44gniauY63i4iAmLgQON+Kne2aEHnVK8hMlLqJS1ayPfB5juWQf6/Z0/iVJWDQ0Ppr9NJeoY6R3k8JPfq8WhucAiv1yXy8vLEHXfcIT777DOxZcsWcfDgQVFWVhZULo8fPy6mT58ujh07dlYcPH/+fJGYmKg5+Dyjrq5OnDlzplEO3rdvn5g9e7b42c9+JpxOm/B6aYyzXNjtJKMdOwbn3nbtpKyqY1HlsIQEKeMOB+nJzIXMlzwuw8Ks9U5+Hx1N8qge3+ul/QDisBYtrGXJbjdyMOufqj5rlhEAYtAgqRPbbDSPxcfLealVK+O+ISGk06r2iPl+rr468Fr4nG3a0EvlaKeTeLZjR3kdTqfzu7khQQwdOlS88sorYv369WL37t3ixIkT4uc//7mIiYkRN9xwgygoKBClpaV+uVy/fr1YvXr1WXPwVVddJV555ZXmHuKXNZrKwadOnRKrVq0Sc+bMEfv27RNjx441jDMeT127ShuM5Vodi8zBKifydz6fUb6D2YTqd2lpELm5xuOYtx80iOTWZiPd0maDmD+f5MrtJtlguXQ4aJ5RZdLrle/Dwuh4fH6zTpCcDNG3r1HHUL9PSZHzB9utVlyuvrp3lz4HfqnX3L+/5GTe5/rrIV56ia5P6uVhwm6nea1TJ7ntxIkTxZ49e0SLFi1EXl6eePLJJ8WuXbv8cllaWiqmT58ujhw5clYcvGTJEhEZGXnJcfAl7+Cqr69vEikfOHBAfPrpp2Lp0qXipptu8g9Cs/OnZUs5YNk44xcrezwY2TETzJCOjSVC4sHKBiu/MjKItM3keN11xkGrTgLt2xMx8jHj4oyK/hVXGM/jcBDpmYWPJwCvl8hPfQ6NOQacTuNEkZkpr52db6oCojoDmIjj4qxJ3G6nSSUpyTg5ut0QPXpIw9/jMU668fHxwum0C5dLTjp2O4TX6xYDBw4UL774ovjXv/7VoAJu9frwww9Fbm5ucw/zyxb19fWitra2UVKuqKgQ69evF5988ono06ePYXyrY5EVbTZsIyNpLNlsRAasHDJZseGpkpfZ6OzaVX5v/q53bzoGK61OJ0ROTuD2LpckZZVUzUSekgIxdKjx89BQacxmZMh75O9btjQ6g83H7NqVlAf1HplU+Rrj4ozOMN7O5TI+X6vjq78FO+x+8hM6p3o+1SmenW2U/bCwEJGXl+efN1WlolWrVuLWW28Vf/3rX0VhYeFZyW95ebno3r27+Pvf/97cQ/2yRVM5+NChQ2LevHliyZIl4u677/aPBQ5sAOT0YW6w2yFGjbLmYHV89u0bqJzy8RITIcaONX5vdoqrTh3zccLCAjkqN9c4ftVjqXOIx0P8z4YzK715eUbnm9tNvG6eE1Q5TE83OrRUxx3fk9V+PKeY573sbDkvWhnSdjtdk9W853RC9OkjDQ2v1ysWLFggZsyYIebOnStWrFghSkpKxPr160VERKgIDfWK/v37i+eff1588MEHTQoyqa+ZM2eKVq1aXXLK9aUClYMbkt+KigpRVFQkCgoKxM6dO4XH4/SPBx5/CQkUHDXLEzuxIyMD+SQ9nTiT91H1bICOl51t1Ac5WMPfs5yyPhgZKce8qsfzPl4vHcMss6oMsYwyB3Owp2VLGZgB6Dg2G81dPCdZzQd9+xpl0+02yl5iovze5SK5Nc8JLpd06LHTyoqTExNJzwh2f23a0DPl/3/xi1+IuXPn+nUrlYPtdoht27aJ8vJysXjx4iYFmcyv/v37i7feequ5h/pli6Zy8OHDh8Vnn30mvvrqK1FaWiqqqqrEHXfc4dfRALJp2bnMshAVJeWFA5r8ndNpzcHqeGN7Td2/Qwc6R2oqJXiovBYbK3Xa0FCjg+zOO40y6vGQXLAtzHpEixbWzjebTfJtY05q9TtzkErdNy2NnFfqvUdF0YvnNJ732BnG1xGMg/n4Xi/E4MHGbUJDnSI5Wc5J/N2IESOE1+v22z78ncfjFH379hXPPvus+Mc//tGkIJP6+uyzz0RycvIlx8GXtIOrKYZxZWWl2Lx5sygoKBBbt24VlZWV4sEHHxQARLduRq+0zUYDkjOxIiKMCh5HiRwOEiBVMTY7iMwZR1aKq9nBZlaUOZMJoKwqjsaqyq2VR5w/Cwkh4TdHo/jv8OHGTDB2TrndNGEwAapRonbtIG64gbZlgY+IkNc+aJB0zqmRJn6pWR58D7m50ghg5YC/a9vWqPDY7fIYNhtNrKmpxt+JFQ6nk5xibMyHhYWeNTG/++67onv37s091C9LNJWUjx07Jr744gvx9ttvC4/H6Z/01QwHNrbU8d+xo9FwdDrl+GrdmpRqlUgSEmT2JSuJqszk58ssJ3YQq2Q4bBiRNxMWO1p5LHbtKh1dPGfwNVjJr88XqKSyY53/b91aKvBWirXq7OWosZoxEx0tI3EAZXlkZBijzvfdB7FyJc0H6jl4/rLKtGSlg+fZa681yvXChRDvvx94vfxc1HkvPV1+9/zzz5+1DOfm5opPPvmkuYf7ZYmmcvCWLVvEzJkzxdixY4XTCREeHiYAiGuuMWYysNKqjiV1bjdnLXEghcdqTo7RgGYu5mNaOYLtdsoWM/M4zyvq8Vhp5PlEHfeqA1flbvUezPtdcYUxSOV0kg4yaBDNR6q8OZ10DjYM1LlJDXgNHRporPN9ZWUZM2uY81Xdg8+pBqT4uVnpG/x5bGysuPrqq8XLL78sXnvtNeF02oXTSXOK6gw72yDTP//5T9G+ffvmHuqXJZrKwcePHxcLFy4Un3/+uTh69KioqqoSUVFhoksXiKlTA41bfpmDxC6XcUyrWZDMayyz0dGBem5urjHAq45TgMY+85sqTzwHdOtm5GCXi46pOr5U2Qco82vECOO1NCQH4eHGeUIN8NrtxK9qZqXPZzxmt24kpyoHq+eIiyMHgOoMS0uzzpJRM62tMrzVV0JCvIG/VQfgJ598IiZMmPAd59tFmzZtxA033GCokmjo1aVLF/Gvf/2ruYf7ZYm6uromcXBJSYkoKCgQEydO/K7SKFaMGzdOXH311ZbjGKCsXrVSgJ29PDYHDpSZVCxvataU0yn1Sx6LZh5UHUWJiSRv6hg2B0fV19ChRp1d3Y7lYcgQ0iPVY6rz1dChMuObvwsPh7jqKpJV3la1gzMypC5ilruYmIY5OD1dVkPxdz6fMSmEZT4xkTLh+Pnyc3K7ybEfEWF0RsfFxfmvKTJS6lO9ekl/hdvtMmRlNuX13//+V2RnZ2sH14VAfX29qK6ubpSUy8rKxOLFi8UHH3wgOnbsKH7zm9+IvXv3GqLHTicpb+aUZ1Up7drVOIjMpMoeWTUDgo/h9ZKCx6TKQnL11RA330yDTi2HAuhc5hJClQBbtzaWC6mkxN+z55hfmZkyYms1kfXqRZEps9edr3nYMLpOnsSY/NnZxplvVoRsdb6EBFLuzc80Pp4mVUCmW1t52WNiAjNO2rShySPY7xQZGSnWrFkjdu7c2WQP9p///GcxePDg5h7ylx24JLEhUq6qqhK7du0Ss2bNEvfdd993GXk0bjgipBqvTAwcXeXMPx4b5nHJ4yQz05g1ZVbK8/KM5QsAyQKXManKrGp4Op2BmQ/qdapZVXwv11xD98ZKAzvSiLwgpkyhe2JF4cEHIVatCiR3vgavV2ZS5efLOYLnI1VWzBEm9Vp79TJGrfkZqIqzORLVv7/R2WyeC9T9OIDQvXvDmSwPP/yw2Lhxo9i/f3+TDOWysjKRnp4u5s+f39xD/rKCysGNtQVYunSpmDt3rkhISBAAOVg4YqvKRceOxIuAlDf+7Tt3JmXPnEHp9ZKsRESQUWguyXU6acz36mU0bD0eYwaD2akTE0NOJquIKu+n6gxs2PLckZUVWLZlNmzN3MbbBcsmTUggB7pq2KrBHXUfLsVk5dhq3ouLo7nUKsrNLysO5gxxlYMBI/empqYa5JfPERYWetYc/Pbbb4tevXo195C/7NBUDt69e7eYNWuWuOeee0T//v3FtGnTREVFhXA6HQYODg8neXM4ZBYmv6KiKBhppQ9yAMPML2rWh/l75nV21qocrMpM587GY5jHuGq8O52Bej7LGc9RLVpIDlUNdJYH1bBV9Q01SGYu21JfwTjYXB7Grx49pPHOv0P79hDLlpH8x8XJ34LvU20xYn7mAMSkSRATJhh1j/z8fP+cMXSovPf+/fs3SYbbtm0rZs6c2dxD/rJCU1vznDx5Uixfvlx8+OGHIioqyj8Oc3Plb56WliYAiDfflPaXeZx27Ei2spkT1feDB5N8OJ3GDCKXi7J+3W5jZmRSEmVkWenm0dHW1Q48N1jNJaGhkmNVXVRNNMnMNM4h6qtrV6NzmeWDjzV0KMmAKuPqM1F1YE4C6dIlcK5Q9Yxhw4JXiKifhYfL58vb+HxG3bpFixYiLg7iN78hfcF8fzRvOcXKlSvFjh07mszB//jHP0THjh2be8ifNS45B1ddXZ04cuSIKC0tbdC5tX//fjF37lzxP//zP8Lttpu8t3b/+xEjZMqkmZR795aDhAduq1ZSMGw2Yz8tm40mB3PaoJWCaaVUOhwyasUGcliYMWJrHvxJSTTojQPYKLx5edLbzATKSkWrVoF1xK1by0yUxqI+fC2cbm230ySgKv8hIWRg8PHVFFeAzt+tm7wn1SnBv8vw4UZBVrM80tONvQe45EotkSJj3yvef/998dlnn4np06eLzz//XKxbt058/fXX4vjx45aC/cILL4iRI0c297C/bFBfXy8qKirEoUOHGiTl06dPizVr1oiCggJRXFwskpOTLUlu3LjAEiN2qkRHkwyzwccRJC4v8nqtI0OqshyMyNX34eHGyC+POybVrCzpcLbZyEBUje2+fY2ZX06nPIbDQZEk1bnM98fn40ireo9duwYqKHY7RbMAY50/z3tsuGZlGSNM5ldcnJRRteTJ3FOkoWwc83zWp4+8D1aIzJFDAGLs2LFi3rx5oqCgQMyePVssXbpUbN68WRw4cMDS4VVWVibi4+PF8uXLm3voXzaoq6sTx44dEydOnGiQg7/99lsxd+5c8dlnn4lly5ZZylP79saSJvPY6NHDmHVFJauSz1QDjcdKnz6kOAYLdDidRseQudSvY0fjnKH2p3M4pDKuHn/AAHLoqvfA37dpY8w2Zdn5yU8kd7NjjBX/rKxAZ5ga/e7Z06iIezyyt5jNRnLOcwYg5cmsaDfG8WZFXDVE3G7r+VN10nXvLoNxHo8MMs2fP9/PwWvXrhW7du0KysF//OMfxZAhQ5p72F82qK+vF5WVleLgwYONcvDatWvFJ598Inr27BkwbnhcjRtn7IHFzmV1PLhcUp5CQqRTxuMxjmt+mccac8Kvf03/q7Jh5uDc3EBdPjNT6qTmLFCA5FMtaTLz5pVXyjmFr4Ud7k4n3Y95TlCPxfLN1QixsWR7mAPlfA/Z2YGZG9HRxvtqyDHNjoSOHUmfUYMDKierJdj8UnsCyXnRa9iP9xk8eHCTOLhly5biiy++aO6hf9mgvr6+SRzMrXmeffZZf0mxFc/yOHK7pWzNn0/tcgBjAoPaLsOKg9lJbD6+Ol7HjDFmLno8xNuDB9M1cPYRv7xeY49Y89hlx6tZj2BnUGZmoIPdXC4dzLkc7NW9O3G7OSAVE0PnjYoyBsZdLvqftzfrNebfQi1RNjv51PnXHJD3+SBeeUUmkEyaJJ+Xqk/ffvvtYvr06WLBggWNcvCbb74p+vbt29zD/qxxyTi41D4BX375pdi5c2fQPgHFxcVixowZ4sorr/RP1D5fIOkBEM8/D/HPf8rBYh5k6sDq3t3a0wqQkq5mYvH3/Jk5wuR0khIaGWkUJqdTlj+2aiWjxarzyeGgQa1GoPmVkwNxyy30no3qF1+EWLDAemJT7zE3NzB1MjZWClBqamD/BFZ8zdkbqrGuCrA6QfKziI4OLCWxEnzOSOnZM1CxVu8pI8NYXml+Ri6XXfTs2VNs27ZNrFy5Unz66adixowZYuHChaKwsFDs2bPH3yfkscceE9dff31zD//LAlwO8c0334hPP/00KCkfOXJELFiwQPzf//2fCA31fPeb2Qz9oMxOUo4c33OPdRQkMpIUcXN5glqaYxXNHDJElgWas5DS04mU+XjmTMzOnclxayZ49cWGABuF5mw08/YNEa/DQUqz2qPL6yVnlzka1Niroe1cLqk4pKVRNFC9B4CUczbezc6wVq2MZSFWc5La29CK3ENCvGLatGmiuLhYLFq0SMycOVPMmTNHLF++XGzdulUcOnTIr1yHhoaK4uLi5h7+lzxUDl68eLHYvn170HKIjRs3ihkzZohrrrnGwAPt2kHcdZfxd+VxkZlp7PukcglzbIcOxrEQHi6379kzkINzcqQBbXZcu1ykwKtljqrceTykiHM2JY9lVuBDQ2VgRc3abt3aGKk2j+/GmsOrjabN31n18miKLI8eLRv1u1x0HJmFYXxu3J7AKkput9PnPXpYZ4zycx4+3Ng7hc8VHh7uV5qPHDkitm/fLlatWiXmzZsnZsyYIb744gtDw+vy8nLx7LPPijFjxjT38L8swBx84MABMWfOnKAcfPToUfH555+LhQsXit69e/vHGy/UYB6bqk6rZver+mJ4OHGw2v/RzMH84tKmyEjjgg885tRxP3w4yX6w8W/u3xUVZRzbah9Om42yS826gKqbcqmjOk+Z70md19i5p8qPypchIXT9Zic37xMTQ7xuzjJlp1pqqgyC8zHV5xMZGXhN6emBc6m6T6dOxuxPzoZv00Zm4gAQV199tSguLhZfffWVn4OXLVtmWHSirKxMxMTEiJUrVzb38L/koXLw0qVLxdatWxttzXPdddf5xxM7O/l35vfMX6pjOjlZLuQ1fz7EW2/Re9VpY3acdO9uzHri3l0cPA2WaWk1n7DsMHeZqx34e6sAL7fJUeVIHd+ZmYHljHzOrCziN/O1sJ6QlBTIfZmZpNeaMy09HjpeZCTpw2Y7mLft31/q7TZb4CJvahkmJ5T07BmYTKNyrdWzVG2DW265RRw9etTPwZ999llQDv7DH/4ghg8f3tzD/6xxSTi4zH0CFi9eLHbs2BEg1CdOnBCLFi0SCxYsELGxMQIgcuSyh2CCpQ4cHhwDBkhHEac08n4dOhhXXDIfc+hQI6k6HMZ0/i5djERtt5NAqgTncJCBvGoVDXa1IaUqIFYkrf7ll5ql5XDQxKM2xTO/UlMpaqV+xk6EYM8tLk4KUGxsoIHeujURZDDDtmfPwBRuVsZDQ+ke1dXmbDaaVDgqpk6eoaHG/mJ2O23Lk6HH4zJ4qA8dOiS2bt0qli9fLubMmSNmzpwpXnzxRXH11VeLMWPGiOrq6nMyll9//XWRn58vIiIiREREhOjVq5eYM2eO//vKykpx7733ipiYGBEWFiauvfZacfDgwXNy7uaE2quHlWsrUt6+fbsoKCjw9wWw2cjITEoyKolq1IKJG4C4/XYa2+3byzFvVqBDQ2lss6w3VFKrlhqrkWar/joNOaSysgIXpGDn7k9/KolTPWZ8vPHaubeIWQZV5Vt1LpsjscGMYfX61TIvc7PNkBBSboOVevp8lG2m9kMzXyuvIMPzUHS0caENdiTyfi1aGI0XtYTkF7/4hV9+S0tLxZ49e0RhYaFYuHChmDFjhvj000/FjTfeKFq0aCGWLl16Tsbxj1V+zRy8dOlSUVJSEiDDpaWl4quvvhKfffaZSEykksSWLUlJ5d+QDda8PMkx7LBmLklMlMq3qtyq8tO1q3GMmnl98GBjgMXnC4x28nc8psaPN8q5qrCGhhp5XZUxrxdi5EhjawDOBjPPGXyPERHG7DWzozw52bhIDWDMmsrOlsdX5ZznEe6nqcpvsGelvq68UvKk202vbt3oM4/H6BB0OOg6rBwPrMf06CFXk3O7XZYR4vLycnH48GFRUlIiVqxYIebOnStmzJghXnnlFXH11VeLESNGiDNnzpyTsfxjlWG1V8/hw4fFrFmzLI3jnTt3ioKCAnHLLbeIuLg4kZKSIux20nvNcnjVVTRO1XFhtwfvlafKwpVXyvGp9sfkY7RubcxWVrkkLs4Y4OXs4eHDZZalOUDSqhUFj4Pp7Z07k25u5sUePWglM56L1HmhXTvjSuxmJ3r//kZOZQcyv+dMS/VaExOlPJl1gmAyy99FRtJvohrPqhMgLk72JVVtAbZx1EAeX1NqqtHg5mw9mw1i/PjxBg7eu3evKCoqEl9++aV/0YnJkyeLjIwMsWDBgnMyjn+s8mtuzbNixQqxZcsWy9Y8S5YsEfPmzRMtWlCpeEoKLbaijhl17GdlGXsbm50kNpsci+p+vXsH6onBMrc4u4llvlMno11qt9PYZI5WdWzWcc09K+12CrKy02fkSOOcoWakAVKu2IEeHm4MQptfCQnEweZMS2NZoDHT0uez7vXJMpqRYSwPbexldoYB0uFlxeOhoV7Ro0cPYbPZ/I67Hj3kSuZ8nAcffDAoB69cudLPwX/+85/FyJEjxaBBg0RVVdU5GcsXSoYvegeXVZ+AZcuWBSjXe/fuFbNnzxZr1qwRp0+fNggaD4KUlMCaXnXQtGsnS3h4IJoHj3mVNj6u2eHEx+3alRR5s1dXVZI5M8xuty6PMkeB8/MhnnqKSMnctNPlIoE0l2jw/l4vZVzxksw8SXAk3OUylmWqhqbVamp8bX36GA0Dt9sYDeBj8nOLjZWRgLCwwEyvVq3kIgDq+VwumS5rvg41UmX+bceMMfZE8fl8DfbtOXjwoHjvvfdE586dRUhIiAgLCxPvv//+Dx7PM2fOFLNnzxbbtm0TJSUl4tFHHxUul0ts3LhRCCHE3XffLVq2bCk+//xzsWbNGtGrVy/Rp0+fH3ze5oJVr54jR44EKNenTp0SK1asEB9//LFo3bq1Xxkz/5YDBhhr4NXv1PHHn7GxbBVBZVJUx5E5MuNyGTNDVLLNzpZNbPlz/o7HfkyMMdvMZiNZUAnO3C8PIIcAKxzmEo7OnY37Oxx0j+oqN2YFJS+P5rNgc9+AARS55nswyzqXXqv3qDaiNRswbjelhJvvbcQIJmEycMwZrHxd4eFyZS2zY5/f//73vw8qwydOnBDbt28XkyZNEuHh4cJut4v27duL2traHzSef2zyK4Q1B1sp1/v27RNz5swRq1atEqdOnTIsXmCObFpFb3m8d+pkLKXjYAVAY5SjwcwlaWnECZTZZxwrPP4GDQoscedrGDpUlvuxPNntxLO9e8s+G2wQ2mwkgzwnWJX9qau6mcctG7GspJrHOJeK8LZqBHniRGunXnw8Kffme1RXfjPrITEx0jhQOdjKQWElf/x8zNfC++blWc9t/fr1Ey+++KLYv39/oxz8/vvvi27duomQkBARGhoq3nnnnR88nn9sMmzVq+fYsWNixowZARy8atUq8dFHH4l27doFcDBzaP/+xhU4IyOJBzZuhLjxRmk88n7mzBA1s0vlY37x+OGxFhMDcdNNgVxtFbDhecbrlWX/Pp9xZXGbje6LV/y1erVqRXoy/2+V3Z2XJ5+J+dqSkoytTAByuKuLLJlfffsaZVTVy5mD1UxLp5MCxubnxfs6nSSfataGOl+xk1EtZXa7ZWA4NJT0DPP8pL6eeOKJBjl4165d4tZbbxWRkZHC4XCItm3b/uBg8Y9NfoWQHMzOraqqKrFq1SqxceNGy9Y8r776qpg1a5Zwu20BdnB8PDmKrGQHILvyqquCy1pWlrH9C0C2nKrnqiWNADnHzf3w1Dli0CBjmxmbja6T7bmcnMAsRHVbMwfz+OYVi63mCw4gq7aB6hw3V4mwXJttdD5+bCzp7eaKBfXFfMu6BD9P1nOsguTmHmXsJGf72bzYjdmnYbV4HQDxzDPPNNq/9tChQ+Jf//qX6NGjhwgJCRFer1e8+uqrP3g8XygZvmgdXEzKVqtDqMp1RUWFWL9+vSgoKBC7du3yb2O3S1JLTg6s3/X5jJkD/DIPSqu0SYCUcLWmlx0sqkKnZlXxvqNHS+Jkz7LHIycMldCshJKF7OmnrZu0qxlcZmPWPNE5HKQUJycbvezsAXe5KOKleo89HppsWKhUw9ZuJ0V50KDAyYgVpZgYOqdqQHs80isfH28s++AsD15tzpzuDZDxoS6jav6tAIjXX4f497/lcZ1OZ5Oa6918883ikUceEcXFxWLfvn3nZaz7fD7xzjvviNLSUuFyucS0adP8323ZskUAuCR7CNXV1Vmu0GRWrg8dOiTmzZsnFi9eLG666aaAcci/oZr6zBFlVpzNS37zmLv9dkmUvPJQVpZcEdDrNWYwpaYax47bLaOaHg8pjOYMJ77GqCiKkqnKLpcT8/8+n3Rwm8koPNzohLUqETLPC1bKiHkJdJ4HmViTkiTRmgk+2FyoOih696b5T51PoqKMRjnPg6qBbnUP5vlW/d+8Mi1gXE7+7bffblR+S0pKBABx4MABsXjx4vMyzi9X+W2Ig1evXu1XrisqKkRRUZEoKCgwtA5wucgJMm4ccQivVMQRUJ7X2dFs7m3VsiVxhTo2WAEFKNqrLrbCcwbLW3p6oHGXmRmonKuvbt0oiyMY79tssiSX54AWLSTXp6fL7dnB1727XHZddYK53cbMVFUOOWObWxaoWRN2O+3HWahW1xoeTlknqvJrbk4bGyu3d7tlllVMjMxQV+e2pvQCtTKy1fPb7bJnYlRUVJM4+Pbbbxc///nPxcaNG8Xu3bvPy1i/nGXYioNLS0vF9OnT/f8fPnxYzJ8/X3z11VfirrvuMshTsBLghkpteZyajUzerksXCsS63cY5n53J5gCLeSwxv5nnjPBw4mA1i5jlSd2X9VZ1VTTuect6hlmHtuIvNcNKlReXy7q3mMp57ASIirI2hv/nf4x9LdXjd+8emG0WFiZ/n86dAw1xn4+yxc0Gr5r91bdvIAeb7Qb1df/99zcqv3v27BEAxO7du8WiRYvOyzi/nOU32ErFa9euFUVFRX4O3rBhg5gxY4YYPXq0IVjDMhIXRxm/PI7YOc1OVZcr0FGbmkpBSfO8rv4fFxe8SiAtLdA5nJER2K9VHYcA2bbmYI0a5FZtd5uNbFjVocxzEx+za1djn1t1PNtsdI/qok8896lcrt67y0Ucyc/WygFu9eLjRURAjBpF85XKweZAMd+Dw0H7cGBbzSLj/RMSKEHHHBA2P0cAYvjw4U3iXn7df//94q677hKbN28Wu3btOi9j/XzI8EXp4Gps6WJWro8fPy6++OIL8be//U34fFHC54sW119/vbj++usDBon6I/t8kgDVbITf/pb+Z4OQB1ZCgnW0hwdSVpbMTGDCAqTS27GjsRzQTGYpKYEC2bo1RavNk4nV4OcU5IQEiM2baclzczTb6aRJhZV/VrjV++jRI3AlRXO0eMAAo9Cr/bO4NxY/U/N1W2XYREdTHxR1Wz5nSAgpQbzMM0C/ExtKXq9MU+fvuWG91apt6n0lJCQ0SbDHjh0rnn322fMyzmtra8W//vUv4Xa7xaZNm8Tnn38uAIgTJ04YtktLSxN/+MMfzss1nA+opGwlv6xcV1RUiK1bt4qCggIxbtw44XY7RXx8vABoLJkdvWFh0jjt10/+5k6nsS5eJTCnM1ARN0dW7XYypFkmOJVa3SYmhr5XnWGZmdap3OoSyXfdJecbQP6NiKByKNV5rF6rz0fKptozLCzMWjFQZa1dO3Io8PPi+QWQpWJqNCg6WiraaWmBTv+EBDkPeb2BZR+ZmcYVX91uWa7Mc59aYsi/SXa2/Jyvk51hWVnG67DKHG3Tpk2TVlFct26dcLlcoq6u7pyP88tVfoVonINZuT5+/LhYuHCh+Nvf/iZiY30iOjpSjB8/Xtx8880NclZmpnHse71GZ5Tq9OH3XN6uGp68f6tWRmcYy6jKgezAUY+vZj2aF1vJyjL2w+IxungxrYAMkBNJVUpVGeHG1eo9tWolZSM+PtBo7N49MNNSnQdHjAjsKaRmhPfsaVy+PDSUOPT22+m4PPdx5qTLRQEp9dmocyS/N/e07NyZjBC1PJx/G1690ayAm7k/Li6uSRx8ww03iMcee+y8jPPLVYYb4+Dy8nIxffp0cfLkSbFt2zZRUFAgbrzxRuF2O0ViYqIlB6sZmYDRmWsuTerYMbC3lep04Swqdj6FhJD8q2WQbKjyHDB6tLHthHnhBC6zU8ftgAHGjG3+yyueqplkfI8sG1FRlK3GQVV2znKDfJfLGMjh6+7ePbC8ivXuzExaKVnVG7xeo47C7ydMIB0BIGfX8OHWcqTOTVY6gZW+wKXFXHqoVlDY7fRcza0D+JzqtTclyLR582YB4Jy1+VBxucqvEI1z8Pr168X69etFaWmpWLRokfjggw9ESIjXz2tjxwbq0Oq4jIw0Nmr3eIwOWzVJweEg2eN+rlYcnJZGTpuGOFgNIKu27gMP0Ht19WSbjcYh99NS70Mdg/37BwZj+X3PnnJBNT5uWpqUWysO7tJFLkTFz0m9z2HDpE7M51OzIK2STvLyjIsoqfficFAQKynJOljFVVlqew63Wy6U43IZA7+AXL1R7fen3mNERLjYtm1bkx1cU6dOFQ8++OB5GefnU4YvOgdXMG+1WbleunSpmDVrlrj33nv90QtzOm14uLFZnBoF5cE9frz88a2aXWZny895cujUiTKCzBO/OiDN2Rn8Pjvb2I+EBytPArm5xuaPdjtdJ6dL+nyByqdKRG3aGMuX+JpYGVUJV53s1JpeNjLV2mUWcqeT9nO7SdDNqeh8n4MHG4XO4aBz8PPKzzc+u8hIIluuh7ZK1fR4ApUu9R7YiadOngAZ6YErcbVqkmAPHz5c/PnPfz6nY7y4uFiEhYUJh8MhoqKixOzZs4UQQnzwwQfC7XYHbN+9e3fx8MMPn9NrOF9ojJRV5XrJkiXi3//+t4iLixWAsaSFx01enhz7agaC3S4NxSlTpJPGXPt+5ZXGdGleQU3NvjJnZKnjx+OhMaaW2F5zjbHuPipKOm4cDpILVpKdTmP2qJlsuBxpyJDA/kDm7dQVWJjY2Ajo3l3+r0avrWSJv+OIVjDFISrKuNqc1ytXdvH5pOKgOiGsXnyOlBTrfgbqtp07W/fzMb/at2/vb4DZ0Ourr74S0dHRor6+/pyN8ctZfoUw9uoJxsGFhYV+Dv75z38unE6bCAmRDiH+7UJDqXxdjXyqv21srFyS3jxeABp/3FeHP+NeWOYxpHJw3740LwDGtgIAccRPfhLILTzu2rY1KtVWqyaqjm42SAcPDl4i36kTlUKq50xKMsq8ysEOBzmkeO5Tt1OdTJ07W1+Xuq05Q0zd1tywPi/P2KLA5aK5bONGuZiM+VjqPQ8bZuynpir9NpvaAxMiJSWlSRw8ZswY8cILL5zTMX45y7C5V4+VDJ8+fVpMnz5dLF26VEybNs3v1FJLWtSgiWr4mh1J/fsHOoJVp+uIETSW1UBOsHmdx1WvXrJnjDmoYrORDp2ebsy4MLcIUY1XLudj3Vm9H96/a1eIu++2LgH2eCCuvdZoZHJWOAd/evQwBqS8XpJPc08/9dlGRAQ2kLbZAjNpVKcAOwYjIwMDXhzEUrM91fMlJhIHW+k6ABn/apZ6QxwMQHz00UeNyu/q1atFSEjIOQ0yXc7yK4R1WwDzq7i4WCxevFjMnj1bPPTQQ8LptAuPh+xHtuNU+fjlL4kLQ0Np7PAYiI42lr7zGI6IIO5mu4orIDh5gh296jhRHV8xMZRsoQaM+XrS0kieeD+1hBgwriKqzhkPPQTx8MP0Xs20BGiOUQPf5ld+fmBpppr1yPJhlgurzEU+R4cOpHsHy/ju18/Yh5OfLVdOqdzOzzY3V5aAW9nBDgcF1lTbNyTEaMeoASl1DlCv7T//+U+THVwTJkwQTz755Dkd4xdChi8aB5dVrx4roT59+rRYsGCBmDlzptizZ48ICfH4f0iVSLg0yDzRM/FwJog6CVgNYLudFPCoKGl8h4dTqq/NRqWCX34Z2GSTUwqtyiD5mhITjUqjlYC0bm30gHu9xjLIyEiILVtoKVDz9avlV6pyr56TnxkTfl4eRXTN18r/p6dLxwJPZmlpxhJC8zPMzQ0sX3C5gis6nDXHTjWr1RvbtiXFy3x93GiQJxKzI49fvXv3bpJg9+vXT/zlL385p2P9zJkzYvv27WLNmjXikUceEXFxcWLTpk2XPDk3hZSrqqrEN998I6ZPny5eeukl4fU6DWNC/S3NDc8TE6US26qV0UHKpGc1qau/+4ABRuVNNcKGDGl46V7zGLWS12CEyPMRR1tYTvr1M0Z23G6SSSY/c5mBw0EkrZYV87gPdo2cZcHlIPn5kkzZUda9u5wLVBnmXkVt21J0Tp0XOVvT66UySbWchR1y119vdODzOdnxYS7DfOEFiJIS+Zs3pGCvXbu2UfmdO3euSE1NPacOrstVfq169QTj4C+++ELMmDFD7N69W4SGhgblUl4YwWZjp4b1OGX5MDuBzK+YGHJe8fhzOOiY3FdS5SbztXi9gU2iATIwb7jBOC+o8qTybV6eXL3MZiODkvvq8DljYyUfBpsX1MbU6lwE0L7mUoPwcHlvLVtKJ5T6uvFGY0mKOv/l5AS2NFDLHLp0MTr1rBxl5myd7OxA570aMOB9VCNInc86derUJA6+4oorzknfDxWXqwxb9eqxeh04cEBMnz5d/PGPfxQhIW4DB6vjlOU3GB+qZek87u66K3D8q4HPzp2DG4SAlC8+Z2amHDdqlgMfs3dvYzaZ+ZgjRxqNcc5GUa+d+UbNQmQZs+qLGxICcccdRv4y67O84rl6Tl6Uwpyp5nQSB6vnUo/tdhPHcvUC78d9e6yCRm53YDaouk1ICD07cw+vhrL21N/cZoPYvHlzo/L75Zdfiri4OM3BTUBTObiiosLfyH/Xrl0iIiLCP5Y5wBkeToEctarG3IvOvKJnMM6y28lR7fWSw4azprh9B2eCxcWRjs3jRu1Fx9nG7FCyyjJUr8GKg9u3J0ed+TrVPrv8NzdXBpCtglQ9esisSNZ9s7KkQ4qd9Ha7zCzr00fOi+by5JQU6+bx5mxN9RrU596xo7FSzGYjXYKdg2qVCnO3w0G6S//+8lwuF8S6dRAPPhioB6nnXrRoUZMdXKNGjRIvvfTSOR3rF0KGLwoHV7BePebXkSNHxIIFC8Srr74qwsK8wuNxCIfDIZKTyeEUF0eDUiWJyEhaDVEdWE6nHCg+HymTbPzxBJGfb1TMeKCbydXrpf1VEomLI4+4WjfMk8GgQTIKw4OPlXtVwWSvrlo//ZOfGDNLrEhHnZTUzBOfz5jdZKXAmgUzOTkwzVVd7SYtjVIr1e/Dw6VSFBVl9Nzb7TQR9etnTeJ8nBEjjNE41UAGZGSOJ4eYGGNEn0nfPHny/1dccYUoLS1tkmB36tRJfPjhh+d1/A8dOlTceeedl2x6dUO9etRXZWWl2LRpkygoKBB9+/Y1EBE7K9VxaLPJMduvn3GchYQEX/3Q4SCFVzUCWeHmY3TtKjM+1fPx/0OHBi6TrZIVrwzG+8XFkbyxDJuV4shIkg3VAOTjqfOMGgFjR6+6+ppaymyzESky0bJSo5530CBZHs0Khc8nr2H4cOOiDU4nPTs+j7osPJ8zLo4ic1Z9zwByNqgN4t1uiMmTpawPHmwsATXPPVaZJlbz1O7duxuV348++ki0adPmvI7/S11+hWha5mVVVZU4evSo+Pzzz8Wbb74pwsNDhdvtEE6nU8TFGct1+LeNiKDfv2VLGZU0/6aRkeR88Xjk+Fe5mrOY+Zhc9tBQYMrnI8VP5Q23W5YSREfTHMBjOimJzjV1KsRzz5EcmWVY5SS1/I7noYQEyu5Us1fYEQfQ8+GAF3NwdHTgkuDq8XmuYr2Bv1Nlj9/zswoLo2wV89zFzzY+3tg/1CxbLVsGllGZnzWXSaoKepcuMtAWEhLo3FJ/o759+zaZg3v37i3ee++98zr+L3UZbqhXj5mDt2zZIgoKCsTQoUP9v13btsYea8y7PCZ69SIjSs08AsjgHDNGjn/z+L3qKum0VschQNzVsWOgARYeTm0rAHJOqSXs5h617PTlsdi2reRDK36y2chAZn1AzZ5i7mrf3jju4+KMss+Zz2xkut2S76x0kgEDZO8j/iwkxDiHqJmv5mBVRkag/HXtSvq3KmPqNkOHBjbYVrflsmT+zumUq1aaedY8H/E+06ZNa5L8zpo1S6SlpZ1TB5cZl7r8CtF0DubWPO+8846IjAwTbrdduFwuERdHY7uhVcHNcshjJiyMxj7zKo9Ds47MJe2LF9P4smrubuW04s9cLmm/RUaSbqrqwE4nLSjxwgvEjWYZDpZNxXqrx2OcLwBj6WVEhNGBrgbcWP5Ux7Nqw5rvSdUtEhNlewI+TmysLNnkbXmeio2VTqlgr06djME1ta9fy5ZSfwGkA07VO6wyt9Tnt2nTpiY7uAYPHixef/318zr+z4cMN6uDq7E+ASop79ixQxQUFIiRI0f6SXDYMJmlZLcHTsLmiE5ICDmJzM4h3i8ighQ0NkRtNun9ZuOyZ08ZMVGNUSvhs9loQI4fH7i6Ew/MyEj6Xm1oZzaA2WgN5mXnCY33j48nRV01dtmTzVFUXkqYJx+7XTbqU1doUF/JycZG3+ZrbdmS9lOdAdw/i/sZcATL/Jzs9sAS0YgIImpzDyU+Z1QUKVdqjy7+3vy78P+DBg1qslCXl5eL1q1bi1mzZp1XORg8eLCYPHmyv7neRx995P9u69atArh4G2Q2lZRLS0vFV199Jf7973/7o009e5JCqv5uqakyTTg2NjDy0r49kSL/zwTF//frZ2w8bW7a2KGDkQx4LA0aZMxcVI/JC0qYiT5YBqLdTue1WkGM5a1NG2MJr7nnFxu1vB/LMs8jffoYm11bzQs8z/E5Q0NlpNvsvAfIyWDOtAwJkcfp3t1YEpGQQHPCwIHyHqzSus1OLPX4PXsajW11lSl2pquGurpvUwzkv/3tb6Jz587nVQYudfltCgdXVVWJnTt3ioKCAjF27Fg/N44YYXRmuFzGVRDVlH8OHnFU2WpODw2l/lbqnO5ykTwxh/fqZQweud0kD1aKvTp2eLVj/s5sSDocpNA/+aTRWedyyUa8KndnZNAKR+ZVjADJ+yqn2e2y71hYGJUKsa7B+2ZmQvz1ryRbzHtDh0KsWEHnGTcO4t57A1cM5v3z82kO5OguIBeUCA8nDlaDfV4vyRzfg1mZDw+3Lp/mY0dEEAf7fA3LOb+ysrLEU089dVYc3KFDB0PD2fOBS12Gm8LB5eXlYsmSJeI///mPiIqK8vOMmnXABpTVmG4oEKH+1r16EY/w/+ww4qqJ9u0DF3ro3ds496vZxKxzmltiqNfTu7fMruCXz2d0uvFKq6++Sk5svk/VSa3eC5cV8/9mGejVy1h+ZLPRfMfnTE62rh544QXJ7byQzqJF9Dlg7VhXz632neVFLsyOOvX55ObStZozR/j7rl2NOpPqkODzqME/OR5sTeLgDz/8UOTm5p5XGbiU5VeIprXmqaqqEl9//bWYNWuWuP7664XNJlfC5Awqt5vGX1ZWYHWOyntjxsjvzbac10scrC5AFEzW2UnGDh0+prmk3u0mbrrlFutsQ345nWQTPP641B2Yc9u3D6xa6NdPypjZVggJIb6MiTHOYVbVDryfeRE19TuHg841aJCxXycg23WEhtI51ZXezYF588JtxIvymakN61lnGDIk+OqNZrnt0sXYQsXqXgcOHHhWHNyjRw/x97///bzKwPmQ4WZzcDWlT0BVFS1dvHLlSvHJJ5+ILl26WBJsWBhlCERGGgeVy0UTd2gobcMRYh4IDgfEPfcEOrysHDD8noXI66XSRVbsWDiuugpi9mw6n9drbN7IqxKaS4FURX3CBNl7gI/ZrZsUzNGjZWN3Pka7dtarOKjZXtwDwaysuFwkkBxZZiWVlWLelp8XGzEdOhhrh/lY7GgcMiRwRTpzvy7zxKb2N+DJm4/vdFJqu7mBv5XAq6nhaplEmzZtzkqoy8rKREpKyjld+eWRRx4RixYtEl9//bUoLi4WjzzyiLDZbOKzzz4TQtDyqGlpaeKLL74Qa9asEb179xa9e/c+Z+c/l2hKr56qqiqxb98+MWfOHPHcc88Jj8cRoDgBpJyqSjFAyp9qcKlRECuHjtXYMhtdqvLWo4dRsWNFnFcnSkuzXiZ93DjZZFrtNwOQIcwRbTPRA6QQq30BrchWXWY4GEGp58zJoYwL/pzlhlcjbdtWGuj87OLjSZ7U+1KV3vR0yu4yG6wNXU9oqDTo09KsM0Z79pRzmRopszpeQ79z+/btmyTDr732mujfv/85G/OXk/yeDQevWrVK/Pe//xU9e/a05BivlzhY5Sank5xKnOXAJan8u/LvftddgfO5OiYyM605WJVb5ifWATiQ0r59YCnQwIHGTAWzQqneF3/GTiGnM7DZtcNBvDRpEh1XjUjzfTqdEL/5jdHgVe+D9wkJoWx0qxJEVQbNcmGep6z6/pjnRuZx1YhRl2ZXs89Yhjt1MpaYWM2x5jlBNUwSExPPmoOzsrLE3Llzz9m4v5xkuKltAfbv3y/mzp37XVsAV9A5XHXI8u/KHJaTY8zscjjIacRBKnZ0NzSnNzavm4MYqamBspCWZlxB0GpsDxwotwmWaczX6XCQHs/BspgY67JEq31VGW7f3pg56fEYbQu1HMzKgFbvm79/4IHALJDcXNLnAdKZ1LnT4aDfiJvTsy2hnuuBB+T3weYFQOrjZmeXqrM0xcH17rvviu7du5+zMX85yW9TOfj06dNizZo1YsaMGWLAgAEBzkrzWFJ/V3OQRc1wCgujMfPaa9arfnJQhVe552QFdfxPmGBcgIn73KpZQ+wA+5//IYdbTo4cw1Z2sCqb/N7sLFZ7AbpcZPexjKmBWNU+VSsLzM8uNZXsd34magsUm41kjQPmfO/BfgfWpQcObHjRGLNzkRdo4mfQo0dggkdKiqwUUb+z2+UzNV+HeXz079//rHg4Ly9PfPLJJ+ds3F8oGW4WB1dTSfnQoUPis88+E4sXLxapqal+JxFHKK1Ix+OhFEfzqgZquuL11wcqqF6vUSlWlXSHgyI5VqsgmAeTw0GDzukkgt2yhQTHvAKa00lEZU6nNAuA1TlY4K69loRanUgiI+WgHzTIqLxzhJqFVHUe8DGioowlTOb7DQkhQWeF32yYdOoUqFC0b0/3zscxTxIxMUS45ugcbz9okDFbxW4n4lajVubJ2Srr47e//e1ZK9fR0dFi9erV52zs33rrrSI9PV243W4RHx8vhg4d6hdqIYSorKwU9957r/D5fCI0NFSMHTtWHDhw4Jyd/1zgbPoEFBUViRkzZogRI0b4J9tWrWTqs5pNoI6z/v1lZg8rnkxw3boZs5tYGX39dYhXXjHuw9l8aWlGx5Iqh8FkTc2CAGS0NT6eSvTMsqoahmal0CzD/N4qi4Tvs0UL2a9ELWliR5y5dLehF18nlx2rq71x5pzTSbLZrp0xahsZSRFyNsLNq1DGxFBWjtmo5u18vsBsFa/X6IhWDQW+rrZtjZkicpzYxIMPPtgkGX7ppZfElVdeec7G/uUgv0I0vVfPkSNHxPz588WiRYtEZmamP9gwaJCxdFYday4XlQdylgY7eTgri5VidXlxztZjeVQdUyyHQ4ZI5dpskLVqJWW9IaWYsx8cDuMS3SovqfNGWBhxWrBM7TFjjGUcMTGkRPfpQzKjKul9+5L8ZWVBfPCBLDtkJ3lDGTLqdyNG0DWpHMf9fQByorNRw/eRmyuDVuYV3gCaG9Us1ZAQknt+3v37W/fo6t1bNuw3O/NjYkgHUh3cAERsbIzo2bOnKC4ubhIHJyUlicWLF5+zsX85yHBTObiyslJs2LBBzJgxQ4wZM8bPwenppFOx89bsmMrNNTpBWPfmMda5M8mj+ntHRkpHa3KyzMBQM+q5JFEdDzweO3emPnJmDlY5jptjq4ZbXBzEY4/Rez6nuvhDQ/wOUNBFdWi53UYdVg3k8nXn5VGVhLqS4tixEKtX0/vx443ziWpUJySQ7s7X53JZ9+rl+YrvTX2ZOTg6moJcfN38/U9+QnOpy2VcFY//pqdTOxXu0ameQ7UrzHMu6zhN4eD//d//FYMGDTpnY/9ykF8hAjm4obYACxYsEO+++67wel1+DubkDSDQ/nE4aCyoq/3xKzlZrjTPjqgHHiB9MzMTYv582oZlno+nOms5aKOOQbtdJktYBS/V/fm43BBd1SXMVQD9+wc6iVTb0e2msa/2+oqIkOcYMMC4cIrdTjqu2XHeti31077vPmMSjBUf83HUa8rOllzeoUNg9UhODj0bK72EOff+++UxWI5VuVSdahyQUrc32xaq89Bul+dvquwyB7dq1UrMnz//nI39CyXDF9TBdTa9erZu3SoKCgrEpk2bRGVlpWjZsqWIjibvrzltkn9E86p9Tid5ZM2ZRryN00lRV7VprM1GxjGT8tVXS++1egw+plrKZ7NR7wA1tZN7BbVsSc2Te/SgwT1qlDTa2AnF5NS3r7E+nu9lyhRj/bB6L3370qSlCqG5QeSwYcbskNhYSezt2kmB5Htv21Y6+8yTG08O5qZ5ZqeAulSpVcNKcxlVRoZ0bARzEowda2xqb/bGq85NeR1dmtQQ0yzYLpdLbN269UKKyUWNppZDnDhxQnz55Zdi3rx5IjqayiF696aXShg+n3GCZkWPG1eaiVEdZ+bPsrKk40klFU7PV43fFi2oFInlXR2DQOBS3+p5gynOI0aQQsm9fnhMcs+c3r3lGDUrJD4fKcVmOVOdRFzKrEaI1RIw1RBgw6BPn+Ap2aGhJEvmxrXqcUJDjVEhXrWVj6kup8yvVq1kD0OrSJnLJXursLHC25h/62AlT3Z70wj6ySefFOPGjWtusblocDa9erZt2yYKCgrE5MmTRe/evUViYqIIC5MZG8whHg/E3LnSYaXyK0DcZ15FSeXTG28kQ4vHixpZttmIg1UF1ekkvmI5tGqEPWQIjVPz+HG75SrFzKtW2Ud9+wYqxbm5gas9mceleg3qd+qc4XDQszI3pG3bNjATOztbOtBUOebj5ufT81H3URXbzp2N5Uk2G80l7OxKSLAupW7I8Z+VZewH2lCGjN1OegdfD/c6AyCGDx/eJA6OiIgQ69evb27RuWhwNm0BFi1aJP7973+LsDBaCKJHD2PvF7uduIr1zaSkwEWE7HYaZ8FkBSDD2LyiNY/57Gy5MARzcGSkXDHbKtue+9nxuGV9m/khJYUC2So/qvcUGxvY3ycsTK7CrWamqZkp48YFzyaNjJQLTpltEPO2rAd7vXTvfEwrXcbMdXw9Zkegau9kZkqZsuJg9XrMHMxzqprNogbnoqJkDzRuAWO1srHDYWsSB7/wwgti5MiRzS02Fw3OhoO5NQ+3BeAqH169k8daq1ZyXs3NDcyuveIKWapndiCZx5zXKxdk6dmTAjHsFFd5tm1bY5mj+bgDBlBGY7DgkM1GPN1QJj/zLd9HTo4sNeaVyvm4LM/33ReYwaVek9oDuqEAMc9HmZmy2sE8F3G5ofn6OWud/8/Lk7YyB6rVvtEAHedvf6MWBADE735Hc5x6nR6P7Jl73XVSlwlWut3QvZ2NHZyQkCCWLVvW3KJz1rhgDq6z6ROwbNky8emnn4p9+/b5P8/IyDAYvLfdZlwGmCOyPFlfdZV0dLBSnJ9vTBM2E0dcnHHiMBPYhAkk1KqQqyUZ6svppMiI2sTO7aZBHBpKXvLf/c6aJFVFYuhQ2SQakA6uSZOkI0hdGcpup23UfVh5WbIE4v/9P3p/yy1GBdvtlgpKfr5xqWCAhJwj0j6fMULMTgLzEqx8TaqnPFh2WnKy7G+mKjVqw0+eMP7wB4hVq+SzMjvC1NRS+msT0dHRYsyYMeLTTz9tsmAfOXJEABD79++/UGJy0eJsevXs2bNHzJ49W6xdu1Z88cUXAQoXQH0f1LI6c++XvDypAKuv3/wG4qWX6D1P9OYxFSwTIiODMkuYDMylTly2p2ZM8VLJTLBmQrRSWNU5h6OzLLd2uzGq4nRKJ7IaFXM4IH72s+DOqZAQyqhQlQNVDuLi6Pmo86PanFot++J9+/WTmZbs6EpKIsd8RgY508aONcpXZKScN8zKi8NB9606MCMiaPvFi2kON/cPVF9mR6IxOuVokgw/+OCDYvLkyc0tPhcFmsrBJ0+eFMuXLxf//e9/RYcOHQzP3mYj3pgyhcYTG3IpKTQWeCVNp5N6g6i95RwOCngwX6ljlvex2aiMQZ0PzKUAffsalWmfT46jXr2M5XrMZ6wUq1lGNhtdr5XDWnXUDRxo7O/DcwBzbGZmoGMqK4vmOFWm+ZzZ2dZOJZfL6CxiZxDPPVFRRmezVYPfG28kuVI/U+eQTp1kVhV/p96/lcL/0EMyy8fqus3XAAQvsVTH0m233dao/JaWlgq73S62b9/e3OJzUaCpvXr27t0rZs+eLX77298Kj8dhGSjo2JEcOupv43bL+T0nhxxianDI55MlwebeUADNA9deGzif8/8tWpDRZs5EYOe4OevPSjcONq7U+YSvT5VndWVHt5sMdp6/OJuN93W5qFKB5ypzGRW39lAzS/g58fmuucbYwsDlItlnO4azTtV76N1bOqxsNmMfIoCCaPybqJyqGtnq9TgcNBdxHya1csWKV63K1Ky2dThsYv78+U3i4Mcee0xcf/31zS06FwWaysHcmmf69OmiW7duhmevOramTDGuVMwOa3UBA155lMdDx47BOXjcOOuMYvX92LHkWDFfT5s2MstXXfiIg0NWfZ153x49yJHG18I8xHzYr5+1Y57t0PR0aec6HJLzxo41tgwxv4LpmDwH5udb9yU0z0dseyckUGsPNQgNQLzxBsTKlfR+2DCybcy6gfnVowfEo48Gfs5zxssvQ2zeLD9TnYxmPn7gAYg1a+S2Z+vgCgsLE8XFxc0tPmeNC+LgamqvngMHDohPP/1U/PnPfxZer/M74UwUY8eOFSEhIZaE5nSSJzM+PnjGAA/UYJlfPXtKQeKB0qOH9ZLm6uvKK609p+amfmahM29vs8nltp94IjD1uzHCUVdiysmRQmVVMqU25ONJZPhwcngFK4kwR2+46S9AhGl2TIWGkvLPn6np3xydV39D82TBE1t2dvBImVW6aEPPSW3qZ7dD/Oc//2lUsHfv3i0AiLKysgshJhctzqZPwLp168SsWbPE7t27RVVVldiwYYMAKM3+gQcCf0Or9Hf+jazK97jpsfp5YqJ01vJv7PNRtIbHhjml3ypapG7HZbPcvJPJipVSVpjVyJfHQ7KkRobdboqWlpTQd+oCFbwNl0o5HJTZqWaOREcTGfKcYnZaAUT8avYqPxP+/qqrArM42NHE23PEi+/F7OS32UiJ+Pxz6kFks1EGHGfkmZtmdu5MDm9VeTI/c3aQWM0FfK/qPK8qcU5n06LH9957r7j33nubW4SaHU1tC3Dw4EExb948sWTJEtGqVSt/BmL37sYSAFWxS0iwXn3LPGcPGSJ7cLESzQqozWbMrOJzPfgg8Swge27wOBk8WAZd+Bwej9Fxra5exoY0O8/S0wMDNQA50MyZyOrL7OQxLzjBiy2wTEdFWS8frvLy4MFU8qSWZDHHJiaS40otqeS5cNIk4lfm1CuugPjoI3r/y19SyTav8AqQAbNpEz3fESNkbz4z76vtGPg5OJ30u5lLnXg7M8+bOTklheZk3v/2229vVH4PHjwoAIiDBw82twg1K5rKwRUVFaKwsFDMmDFDXHXVVf7fLyVF9mQ0j0GVA8zlq/wbt21LerZZl1R1XVVX43GvNmk3v3w+MtBVp6rdLjMdOJMoMtJ47Kgo2cORy+nVfXv1gvjtb+l+XC7pnF22jMZvy5Z0XHUO49JHPodaMuh0Er+anfXq8+vbl/Rg9f7N933ddUbdgDOY+XtuVB2ML9V5jD977DGZkWJ2Tufnk4yrv3F4uLHBf1hYcEcG87o6z5GjznFWgeJf/epX4rbbbmtuEWp2nG1rnrfeekt4PE4/j/TsKX9jNYCgyuQvfiFLBDnTmr+fOJECjrytGng0v3j8de4sx4s6FvgYAwaQ/ml2oIeFyawnduaYx646BoONeatXTg7di9l2ZJ2hdWu56rqqa7dqRf+HhkpZZp6KiyO91hw0ev11iJ07Sa9QewCb7yUiguYA8yJq6nv2J/CKi6p9EyybzoqDzb+T+j9zq1rpwS81GN/U7Mvy8nJx4sQJAUDs2rWruUXorHFeHVxckrhp0yaxe/fuBlMxN23aJAoKCkSfPn38wjR5snFlLo7y/uxnJJw8qFUDCJACGZjJQwpeu3bGgaGW2Y0ebVzZjRVgVg4yMgIdPqNGkUDx/2FhRodPr150XCthNWeRqMYDR3LCwwMjKy1aUKTMaoBPmiRTTc3GKp+DDWfOFuPjqKtvqGTMBHrttYGNK3mlSX6W6soyXJ6p9gdRnQ1OJ/VE49pgq5Wwhg6VWTQ8YXIDUTaY1EnA6uX1Gnt2PfPMM40K9saNGwUAUVNTcz7F5KJGXV2dOHHihFi5cmWDvXqOHTsmPv/8c7Fw4UJx/Phx/+f79+8XAP1eDz9Mz37wYMoK4PHGvwkrqzfdBPGrX9Hvyb0AADJwrfpomZ1hvJwuE6bXa1Tuzc3qQ0Op5Kahnh0ej3HeYKWY56SrrjIqwKGhRrlTjWAer1dcQWQdzClgdtZzBgVfZ9euxmhbQ+Ofj5Wfb5yL+Fls2kTp0YCxiWhDzmNzGrZ6HqttbTbr1Z42bZLZfGoJdbB7oefpbBI5T548WTz88MPNLUbNBubgzZs3i6+//rpBDt6yZYuYOXOm2LJli6isrBS5ubkiIsKYaWBWsLp1CywzHzyYFHCbzahUhYSQ4Wk1XtUxdvXVxhXVOHKrbmPVsPlnP5P9oLi0gfmkWzfiLjMnMMdxxqg6fmNiZHmgVbYKQFnd5hI9PkZSEjmmzCsu8XVHRNB8pjq9gynH6jWPHRsYtVfllbft0IGc0OaySt6GnQR2OzkwOavT6hoGDZIBA74O/t7tDozmq4aU1bmdTrtYvnx5o/K7c+dOAUCcPHmyuUWp2VBXVydKS0vFihUrGnRuHT9+XCxcuFDMnz/f3xagVy9ycqjPX5XL5OTAxsRJSXI1XTWLin+71FTKEmS54z4xvF1SEs3nrFczByclye3UBtEsp7GxlKFt1Y/R4yFnmLqCoN0uVwtTt01Lg3j+ecqUsBp7zMXcd/eXv5Q9Xrk9idrb5pprJCcy52/aJB3vLF+qPqHOG6p88hxyww2BBm5EBMTdd1vPjwDEF19QM3C+Dr4XKw62yuTIzZUrUVrxKwe5Glrww2aD2L59e5ON4/LycnHXXXeJ+++/v7nFqNnAHLx161axa9euJrXmuf/++/1yOmmSMWDJi7ewnHTtalyQi/nI6nc0OzPVcaC+v/JKY/UMB6XUIIbqEObx1b+/tc0JUHaX2teP9ViWPc4YZacTH5dLI7kvpPm46uJj5muLj6cFoSIi5DW5XDKrjcuWmcOs5EKdY3i+u+YauSK5Ooepz6shp16HDsbfzGaj37EhO3jAAONCXG3bysQW9oNYnTMpyZiBTs/S3WT5ZRvuyJEjzS1KZ43z5uBSUzGXL18uNm/ebCnUZWVlYvHixWLatGkiKyvTMFDUzIk776QfSiXo0FBJwNdcY0yLdDpJaTXX5qs/PjcvVwevWTjNfS/UlcLMk4dVumGwQR5Mkc3OpkiPugy612tUUlWlg8uOBg60FqTOna1XnOFnyArq+PHG58t1/nz/qnHP24SHQ7z4oiyV4tUqly2j5xodTZlh6qTk9Qave3Y4aDLhVNb4+OA9C4JlgfE51InOZpMGF3/+5ptvNirYK1euFGFhYaKuru58iclFC7Uk8fDhw2LmzJlBnVu7du0SBQUForCw0O8EO3XqlBg8eLDwer0iMjJSeL2egN8qmOPEytjjz9UGs7Gx5Bw1kwHv5/NB3HFH4OqqvF1ICGWVcPYRy3dYmCxzMpc78Vxj7u9jFVmxOie/1D4nNhspE6pj3Vzi062bzHRRCZVliXslmI1eVtJjY439uoI9c/WzxERSxK167HCEfdgwGQXm86any+syZ8FaKT9qJhdHDbdtC954l35bX5PIefz48eLpp59ubnFqFqgcvHLlSrFx48agbQGWLFki5s6dK77++mv/5506dTJkA99+u3H5abtdBjfsdhqf/HszH+bmWq/wy2OAm5erCmFDjhHmhgEDSPHnsQ2QE9ucJaruq467Ll1kRgp/p/JGVJSx/YDHY11iwVwcFkbKp3kuMhsQZt7n7BKnkzhYXX2Ks7QGDiRnm+okD+YAzs0lZzvPb3yehrI01Cb6aqYkf69m7gWb78z7mOXb/NmNN97YpBXYioqKhN1uF7W1tc0tThccKgcfO3ZMTJ8+Pahx/PXXX4tZs2aJpUuXisLCQsvfoUMHms/NmQ9qYMfrlQ5Xu53Gn9qM3lydEGwcqp+rzi8+p6oTcqN21bCNiKCAGPcNMo/d2NjAcjt1DjFvb77OTp3kvMHZ1+o+5kw2vm/OjOjUSVZdcNCmY0fSJ1QujIiQAXdzv1Hed/hw+b96Hf36ST2BfwtVl7fZ6PhXXikNeNbr27eXcqvaDh5PoGHOL14FU50vzAG4yMiIs3JulZeXi5tvvln85je/aW5xahaoHLxmzRpRXFzcYGueuXPnil27donMzEzLMTx1qrFfJTt++HcbM8aY+c7H+OwzufI361V83D59AoM75hf3rlPHHo+v/HwpCyy/SUnGhcEami+sAl0tWlCWlmorejzGAKnaW5sznwcPljJkXgTH66VjtmhhHNNqb6xx44wOLXVxBvNcwdfds6eUE7NcqZnQ5nPycXv3ls5Evo7kZGMfMXMAyWq+sNkgpk+XTnJ+dlb2dnh4WJPld9u2bQKAqKioaG5xOmucFweXuVfP6tWrLZXrb775RsyZM0e8/PLLwum0CbudfnRzOYT6I1tFC60ER23izhM8O6Z695bGnjoob7iBHDKA0djkQTRypNHh5XAYvehXX22ceGw2moxuvZW2YXJjpTgujpRRVblUBTI2lvZVe2xxn46ePem6kpKMS7RaTSBmBaF9e5rUGjIqRowwOrTCwwOXOOcJdexY62PFxUHMnEmRN4AiZWaBVBcIGDvWOJmEhBjTtoM5xnjyUM/fWAbIa6+91qhgf/755yIhIUHU19efDzG5aGHuE3DixAkxffr0gAyuU6dOidWrV4vZs2eLvXv3+j8vLCwUbrfbL3Pm1N7sbDLmzJM1/37Z2WS8qlmZTqexcbvPJ2WRlfQrrrCOfPDYmTxZljJbEYTTKRVt/r9FC2PGoTmdundv2UjTql/W4MGkwJrnMVW54NIGK/mNiwsso2rRgmRFzQhT548WLUiZMZcXqE5e/o4dTuZrVxWJYI5IdR6w28lh0K6dUSGLjTX+/jabzOhkJ4h51UbA2ChbvTd+RUdHN4mcr7rqKvHyyy83t0hdcJh79axdu1YUFRUFcPD+/fvF3LlzxZ/+9Cd/OUR8fKwYM2aM6NGjhyV/8G/etWvDHDx6tOQuq+bsakDK4SDnjNp41dyElQ1SK2dNTIyRH1QnnFpOz8q9yt2dO1MpZESEdIbzvBAdTRzs8xmDP3yOkBCSRfOqzHz/XbvSsTjCnJ5Oc0jr1hDPPGPt/ANIf+HG3OozYjnt2zfw+QCUjfPHP9L7n/zEqFi3bUt8bZbnkBDZzJZlVA3MZWZKpdmqoa5VMKIp5Sbvvfdeo/K7bNkyERER8aMLMpk5uLy8XEyfPl2cOnUqoC3A2rVrxfTp08WgQYO+MzztBvlSV9bmV6tWlH3IYyEy0lh1kJFBfKkGWt1uY5AkNFQacJwRNWiQ0QnLDm+fj8YZL0BiJcMOB+ngah9In494i/moQwdjY2uAeEctRVbnAICc6CNHGr/zeKSM9+wZWOocEyMz22JiAhdgCqZn8L0kJZEOo2Z9MgerfM1BeivnnNqLt08fYw8i83Ys5+PGGYP2bGeoNoSV81qdY8w9QtXzuFyus3ZwjR07Vjz77LPNLVIXHGYOLiwsFOvXrw/amue1114TXq/rO45xCJcL4vHHAytmVJ7t1athDubX8OEUDDZ/rtrBvC87gNTyVT5/fj7p7madgPfNy6MAMM//PC5DQ8m29niMwdtOnWhc/eQnwfvd8WetWwd39MTGGh1XLhfplTxXqNfIMjBokFxl0soOvuoqCi6p54mLk07nXr2MC9Q5HKTbqtnn5nkhO9u4eAZ/x3KWlUXPV60qczjomd1xh9Q5gnGq6lBnmd2xgxzjfA0hIV6xZcuWJsvv+vXrhcvluiQ5+Jw7uOrr6wP6BKxbt04UFhYa+gQUFxeLgoICcd111/kdKLfeaixJ5B/9qqvkSjxqnw67nQxI1RjjxtSffgrxpz9ZC70aURo+3NiQXV0tASDF3NwAOzMzcOUidRBnZhobKJuvITGR7kctIfR66dzBssBUATVH4PjvrbcalyxPSZECbi7hYiO7fXtZmqCuSsGvLl2MmSNqNkebNsaJweWiCJY5a4O38XjoOmNjZQp8MEHNyKCJICQk8PdTa6g9nsCJKyNDfq/+BuozaEqDzIKCApGRkfGjc3BVV1cb+gScOnVKTJ8+XZw8edIvw0eOHBHz588XixYtEqWlpQayVuUhIkIqh2lp0ihjJ29SEskCE4TZyZuURKuKmCOsbjdldYaHk+OYSx7sdjImXS5a2S06mt6rDmCHg+YUNdvEbIBPmEBziUrwNhsRPCvLatNah4PGHUfPrOaFdu1k/yor+cjJoZIm1dDweORYTkyUK0OpWZydOkm5VCPj6jGmTpVZIOo8wothqOVJnALPRNq5szFj0uEg2X/pJWOUSX316kVGOv9vXoreSvbtduOcEuzl9brFunXrmkTOAwYMEG+++WZzi9QFhRUHFxUViXXr1hnKITZs2CAKCgrETTfd5Hfe3nabXDXY5XKIVq1aifBwUk6vuorGhmrs2WykBKrywxz88ccQ//d/Rv5T5/JFi6jnJI9hVaFTf+/kZGO2BQeORo0yRlrV7JK0NMo4My9Nzj31YmMpiMPZmyEhxv52Krfy2AymCKuO5htusG7Aa34lJFD2c48edA1sNKilFPy3Y0cyAMxOgWC6gjlaDBgzRh0O+g2HDjUu165uHxkpF8mxChiZj2+V3a3OMebtaHx83Kj8zp8/XyQlJf3oObiiokJMnz5dlJWV+WX46NGjYsGCBeKzzz4T4eFhAqDMRs7g41d4eGAWvToW1PGsOm/4s/h4iHvuMQYqzKVCCQnWK5wHzt1S573qKmmMqbIfLOjKchqsEbrVOc1BIIA4lFcJtHolJRlX4mbHns1GcsQ9Z1knDw0l55NVqSAfIzGRDNT4eNrX45FzkcNBzgfVgG+o+bRqM9x9t1EPMe+rll+qHBzs9zFnUgfK+dn13yovLxcjRowQf/rTn5pbpC4o6uvrA/pOb9iwQaxZs8ayNc/tt98ubDb6jW67TY43m434LyREyl+PHoGB1v79ZeaR2QGi2o7mbCn+fQcNMq4u6HCQvqjacuox7HY6n6rjmV+pqTTmzc4aqzHH9+Hx0LhjWVKzppnzxowxLu5gPu6ECUY7PiKC9tu8Wd6jOu84HOTo4qQWtdel+aXOSSq35eaSbh8sMcfnk21S1GOMGUNOTCuHeXg43QsvkGM+t7llwvDhpHuocznP3+YqjC5dujRZfhcvXiyio6MvSQ4+Lxlc5jTq4uJisXbtWlFVVSVOnDghvvzyS7FgwQJx5MgR4fP5DAMBIAH96U9JsM0eZHXb7OxAQlCVUHWi5xTKxx+37uMT7KVGevjaeDDyYB46lJq5mld7stlokpgyJZCU+RhhYfS9qhxw5GbiRDq2WjPPk1KfPrLXlVVqpHoNbjc5stRJYOBA44TG0TK1V5GV0KnP2Zydoxr3ZiHjSSg9XUa7WREPD5fCqnqfHY7ACIX5OoK9gkXG+bVmzZpGBftf//qXyMvLOx8iclGjpqbGIMOVlZVi+vTporS0VFRWVopt27aJgoICsWHDBkNWV2lpqXC5nAIgJXDixMDfTC15HTpUjl12hnG5jNcryZW/j4ykzCS19MblojFSUiKzmtSyIY+HxvTmzfSXnTd8XPPEHxsbONcMHEiOW/OY5jE7YIDR4c3jOi6ODF4mGR7TLIfx8TIj1dwEPy6OHNZqbwHOLLHZSKm+/npjRJhXbORj5eUZlZKGIj/q69ZbjUGDkJDgZYp8/M6d6f/oaOteRebVTnnu4/eq8s3jQ3V6qHPR2SjYXbt2FR988EFzi9QFB8sty+bGjRvFqlWr/HK6aNEiMX/+fHH48GERHx8fMK/Sb2vzjx11bPJYvOYa43zNc66a9aFy4jXXyJ4RgJRN9fft3dvYp4PHHzvVsrLIQGX+MGcKqedTHUVeb6Dz2aqcUOXIAQNotd6rrjKucMjzUa9eMsPYqgHv4MFUPmTmQCsHLt9LdLS8zvh46bTjcyYlkYOdj2ku4Y+PJ2ekmlGmZqSFhtL+nJGmPid+paU17mRWx4W6mrX6CqaT8KspQabp06eLrKysS1K5/iEwc3BVVZWYMWOGOHbsmKisrBQ7duwQBQUFoqioSMyfPz9gruX3CQnGzHtVP27TRvZkUudk7oOjjmXV2aPqmzyemS+4nUh6ulFnVfu0cqYDf8ern8+cKR1PVosycPBHHX987X36GHtLMgerGaRqVQa/nzJFOrnNK6ynpEDcf7+xTJKdEMxZ119vbO3B7UQmT6b5we2meSMhgRZ/GD/euPiTlcE/ZIhRn+AgHf/fowcFnvmaeG784gsZMGCuHz8e4q9/Nf5W6r2Yf98rrjA6NVRHtXEes4mxY8c2iYP79esn3nnnneYWqQsOMwdv2bJFrFixwtCa57PPPhOHDh0SqampAfKrPnOVg9X+suzsUcd9mzbWGdN8rG7dpO5tNc936xaou3P2MJc4p6ZKvuRr48Ay85i6f0QE8ZKqz2ZkGG3QhASjnep0kmypKySbF4Pr2VP2qrbiJvW+IyLk+TdtkrLSu7cxCzIy0lg5ZM4CS0ggDlXnNzPfWS2QpbY84HvKz4d49VWaN26+WepT7NRqiD/5pc6t5vlPPb/6WUJCQpN16E8//VSkpKRckhx8XhxcZ86cMRDzpk2bxKpVq8SePXvE7NmzxZo1a8Tp06dFVVWVyMzMFHl5EP/8Z2DnfzZgJ00yNlVVv7fZSHA4s8ss0GYFsEULmYFx9dWSfNUJhAfZqFGBiqvNJj3o3HDS4aDoi8sFcdddELNm0YDlCA17nj0eImEWfnOkzOGgQa6mGKvlO3wvqnfa4aDnxqmSycnG8iOPxzgpmIWA33fqJI1UPs/EiRCLF9PxmDDZex8WJicLVlC2bJG13G43RZ1VJ6Q6eQOkzJgz5mJjjc4p9RpV46CxVHHzvup7r9fTpP4f77zzjujZs+f5EJGLGrW1tQFp1DNnzhSHDh0SK1asEHPnzhX79+8P2Gb58uWGiV4lv3btjIq2ul1WFmUYmcshuKQuLIxIKFgzZsCYycdRL7X+PS9Prl5SUiLJjcsh+HoTE43krMpSUwinbVvKHDFnLTDhpaTQvMNzDivFXMpktwdmRdntJBMsn+ZomM1GsmruoxAZKZ/5gAHGlRKZ0NlJHhVldF6zvN96q2wAH6zMRU1l93iM5GwuSW5IRvnF80mw7Xbu3Nlkcs7JyRHTp09vbpG64DBz8JYtW8Ty5cvFvn37xOzZs8WqVav85U7t2rUT2dkQH34o2wOYV7C84QZj7w+WUfV3UWXQqhmsFQc1Nm8nJ8uSB/5O5RO19IaPHxdHhmebNlKmVDkcNUoahXa7LJmIjiaDn8e5y0WRbXXRFL4OtRcOG+zsrEtKCgxotWkT2EOPXyxrQ4bI7Dk+v1peOXCgUZk160Pqs2XdadQo42qv/Lupz8Q8V8XEGB3cPp/ketUQ4POYS8ZCQqzLtdWX2+0SR48ebVR+P/jgA9GhQ4fmFqcLDisOnj17tjhw4IBYuXKlmDNnjti3b58/MwSAeOopKnvl8abKRevWpFuqsqPqejwuOKjA5fqpqdRTlbMq1EWJODMi2G/MQVp1pU6WxzZtZPN7zuq+8UbZzoPHK+u1PDb5M7VvlXneyMqizBFzibvaj9d8TK+X7j3YNk4nyRIbvmoQXXUUs15qJZ/ma3U4iEOtnHkN8Z8aWFKvMSlJPheWf6vfhK8r2BxtdnqZv5PZNS2axMGdO3cWH374YXOL1AWHmYO3bdsmli5d6m/Ns2LFCj8Hd+rUSbRsCTFtGum6brd0XPF8e/31DdtTADkoeQybK2mAwJLEzEyZcW0eJwB9f8cdgdzC/6ekkIyrtrvHQ2NadeTyuLOaL6xKEidMIDvbaLfJ/Tlbib9jDv3oI4hHHqH3auXVDTeQ88wsq4C099PTZTKKWcfmXlwpKXLhCPYv9OhhtI/NcpSaSo5yXqzHbAfx78jOZM74Uks51XlJnXNsNroe1cnJ/M7b5OVRSwP13rOzs5usQ3/88ceiTZs2zS1O3wsXxMG1efNmMW/ePDFr1ixDE9uqqiqRmpoqvF4aWMnJRE7Ll9NAUpfMdjiMmQFmcrZ6ORx0PI6C8uqGZkGNjQ3eEM9up+uaODGwfIonHjWNn5uzezxkLPAqJ1dfLSNBvG2XLtKYNnvrzeTicknFm69j0CBSmtX7CQuTAsvkqR4rLo6893xvajZM27Z0jWqTPrVnB5PbjTeSQPG9qILD16d6vW02mkTNzizza+pUaUyoaa1WJGvVSFG9BnViNe5rE7t3726SYP/pT38SQ4YMOR8iclHDSrkuKCgQc+fOFUuWLDGUSZiNaICyGf/5T3reTMjs7EpNtTb0+P+EBGoUrTpTOBvLZpNpu2wIcnaGeqy2bQNTstXle/l46nlHjAi8LnZMAzQu1ZJFfnFU2esNXH0wNpYiuWbHEB8zLIwUevOS5Pn5xj4mXC7BMtu9uzQKrDKrAFqNSp3TVGdj9+6UlaKScXi4lGmfz9iI1EpRNisloaFkQHE0TVWCbDajAmTl5FAJuVs3iOJiaVjYbMZn+9Of/lQcOnSoUfktKysTaWlp4vPPP29ukbrgMHNwSUmJmDdvnigoKBA7d+40fJeZmSk8HgoUDRhg/F25BMfMwe+8I1cpU8fZiBHGTAkuMXj1VRlVVo1WdTyojiY1c4llVy3FNWeYREVR1reaTWQeZ6GhxmwLq3FoHus87syKK5+3X7/A1Yzj441O6qgoeT6rIJO5r1VkJP0WycnG+SjYKk28kuXw4RBLl8pl4q0CWz/7mQzwsT4SGyv59Kc/lc47dV41XzfPT1ZtDdQ5w+o5u1yuJjup33rrLdGnT5/mFqcLjrq6ugB+nTNnjvj000/FV199ZWgLcPDgQb8cPvqoUT7UMcy/m9NJ/PnkkyTPUVGyh11xMRlsHo/8/QcNMpbzh4QEZg/z2Ob5gbOlrcaO2QlkxSlW2X95eZSxYa7aGDJErr6oco7qcL3nHuI1c9NogAzbDh2MOkNCgnxu/fsb+3+y7N1/v9S/zYvC9OpF/bD4Gnw+Cm7ztXfqRHLIGad8z9wjNCpKcjzrT1FRxNuqA16dI9VSRbud7ICGnGdmuVWNZA4mWvE0/+3YsWOTZLhNmzZi1qxZzS1SFxzV1dUG+d2xY4f49NNPRUFBgdi+fbshu6tdu3bC5SIdauhQ4+/DCQU8Nm022oZX3APknP3HP5KTR5UPTq4AiLenTaP3ublSv1I5+Ne/NjpieGzGxlKvRnMZntn5yokhTqecV7gt0NVXSycbn7dDB8n3iYnWGVEPPBC4wIJ5TuEAlqpPW809qn2qPif1uOHh9FuoiTVOJ/E9n2viRONqweZztW9v9FmotnRDyRlTp8oqs8YCxAkJ0v9gdaxgn2dlZTXZwfX3v/9ddO7cubnF6XvhvDu4jh075hfq48ePB5D2+++/L1q2bOlvjGm3k5KdkkICtX071SSzkaQO1E6djDW67InmtGdW2qy8quzYGTBAKuRqRIObHCckyEg1C8bw4XJwqsqDzUYCYeWhVYmM+3SYBaNHDzKIAWMD2ZgYymJTs5bMJNWmjexJxM+A+13xcTwe2eieHYTt2gWPwqnN682ThCqoLPAsjElJRObs0DKvsAHI+w8LM042bCzxPTaUoWU1qaiRNTVaxZ8PHz68yYL93HPPidGjR58PEbmooSrXlZWVYsuWLWL69Oli7dq1QVdxWrp0qX9MJCbKcawSZFqaVM7cbjn+3n03MAOLtwkPh3joocAltRsaDzExcvv+/Y0rFw0bZu2oUs/bsSNdv0oOqqFvNf68XiI7lgN1ZTKWtZEjZWaElYMvIsKYDWW+16uuCswcSUoyEjrLkqrUXH114Jykyk1cnLGnASsm7AC/8krpZGOZ7NxZzi3mlbUa+43U+SiYHJv7iphf3bp1a5KDKzY2VqxcufL/s/fe4VVVafvw2qem90pJIITQewu9944gIl1FQQQUxY46OqOOvY2ODX1VdGxjIPRepCggVelFVFQEBUTAUVjfH8/vznrW2msnmRkg8r3vvq595eSc3fdzP72UNaQu+sKV6x9//LHIuXXkyBEXdt9//32ZlZXlckrExxP+9uwhA9HnU3SQmqqaHvN3ZwvOmE4O/nvjxqRI8t8xrc3nI9pE9iZ3pqInp402QiHCrxnt5p+vuEIPuLRurYxUU2GHUZuXp4wPcwAGtjfL+7hTKyWFyqj5IAtEu3mJsqkXBAKkp3CnlpeCHxmpJj2jL2HDhrq+ge9teH3lFSE//li/x+xs1aMPpcReirMQ6r3ASOb3lJmZIb/55ptSy+AnnnhCdu7cuazhdNEXUwbv3LlTFhQUyE8//dQlg0+dOlWEG+hYcGL5/ULefTeV2kZHK6eU4xBdeOl4NicTf+eg12BQ9YHidMuHi7Rq5S6ZqllTTQ7DCvnavTth3oZFjjVk+nInW0KCCjQ3aKAHuFq0cGNTCD1YO3CgGsDE5RS27dJFz3jhJdeOQ8/TbEjvJXe5UwFtAThPAZ8Ih+mZICOFy2CeicplfJMm6pmb75e3KoC+YAsom8/e79ezglJSUkolg8uXLy+XLVtW1pC66AuXwT/99JNcuHChnDlzpvzhhx9cMnjWrFkyOzvbVZ6IYUp795KjWQhlrzqO6q3IA7g8s7prVz3bkcti2Lt161JAhctuyP9Bg+h4ycl6776ICNVHWgi96iEujuQvb61jwxLwBF4CvoFjVa2qdEs4r4Sg5wD7luvY5cq5eQqXbULQ8xwwgP5yvpGaStVXCQl6j24bb7St3bq5+5F5tfYAj0Y/P2CX+x+g/0IG82oUnoFtWznfCYUoABAZqXhnamqK/PLLL0stg1944QXZunXrsobTf7RcEAcXgL1v3z5ZWFgoP/74Y7l06VKrYcyFdPXq1YuEFF5WhQq6sYPfOndWjNoUnihH4t9Vr67qjs3oRGamavwIZTY+nohjzBgqaYqOpmvhCkEoRA4ZXAefIMYjy+jDYfN49+ihZ2GZgBSCBNtHHyklNimJlAbzeFyRrFnTbZD7/fR9Sgop4k2b2oFsZqqlptIzioujMaQYN8tBFx1tdwDwLJicHIpq8RKkiAhi2F4Nc/n3tuN7CWTb/8Twu5Ya2HfddZccMmTIhYDIH3qBcn3ixAm5atUqOW/ePDl//vyikghznTRpkoZbCAm8A4y3v+EGMpbT0mibcJi2Gz9eZQsuX04OJggZ0A8yElAi4NVPqk8fnZZtwgB0gWknXbuq6CmMXC4k0tKEvOkmOiemrHH6rlVLTVDlgppHsJFViWhcKKScVZmZbudey5Z6E23si3M3akRRdJzDnIaUnk6KODfEY2JIOYBSwg1RHOPyy0lJ4PfIjz1woD6UA9Fu7uTiPUu8nOcwsmwKRLlytELhwjbcsO7WrVuplOuIiAi5bdu2sobURV8ggw8cOCBnzZolP/74Y7l48WIrfvft2yfLlcuQQigFtEUL9T7Kl1dBCiFI5vGIshBk6PG+MOYABp9PlRbZlFNsGx+vlyRC0ea0zfGCv1wGc8eQ49A5zSlrPNhikxfcMBaCnFu4D/A6KI5mVNZxVL9AXnLI8RAMUtZ6zZruiDXw2aqV7pwXgrbn+EPJouOQfLT1v/OKFvN7NLPDzGdivgN+HDMabhrG5nn/9Kc/lVoGP/DAA7Jfv35lDaeLvkAG//zzz3LNmjVy7ty5csGCBfLAgQNWDPv9Qt56q5AbNtB7rVFD4SQYJFqC3hsTo/BpwwHoBRUI4MFo8IwgpBf/HjtWlwcREbrzJTvbO8sSx+WO5YwMCgrzjCVOW3FxNIgGmQy4LgxVMWkaMs2W3cG3bdbMntVtlt/yZxgRoTekb9pUYQLZc+PGUUarKbN5gIlPMcf1cj7Be4Jy3QH3e9ddQu7fr/cMxnFwndxe8MrG4e/DxHKbNm1KJYMTEhLkunXryhpSF32BDD548KCcPXu2/Pjjj+WCBQus+P36669lVlZFF//HM8/IULrvli1CPvMMfY6JUe/fHIZmrs2aKduN65J8rVCBsny5fg15XacOnS8tTfXggiyrVUtPruCyrFIl2ub556mEUgilD3/wAZVWC0GOJ46JcFg5fWrUIJ2YYyIujgJTNtvV5yN7YehQ9xRKrpePGqW3BEpKInsUPoUWLfSevTxrFDLX1N2rVaMsLJtuLgQd7/LLlTMe21SpUnJvaY5Nft9mSwQ40Gy4PXToUKnl74kTJ+Rjjz0mu3btWtZw+o+WC+LgOnXqlFy3bp2cPXu2PHjwoDx48KCnco31l19+kfn5+TIcpmjTlCnul8oVtYULhXztNfpseknRHwv/8xHf3HMKAuWMITKSvNlcAKKXBzLCIiNJiFeu7PYC2wxvAL5ePbuHmWeOjB5tVzBxjvr1VXYXDP9q1VR/hEaNdAcVhCUy3fAMuALSu7c+eadqVV0h4cbq1VfTZBZ+b/HxbkU8JYWMYVPhNhlNnz60DW9Ajt94zyVzf4y1xve2hsG25+w4QtaqVatUwJ40aZIcM2bMhYDIH3o5e/asPHTokJw7d65cs2aN/Pnnn+XSpUuLVa4hzPx+6kG1e7fCIY/kVKigl8Xynh6IZPCSnchIMng5s/b7yXmD6FWFCm4h07EjOcG9IjCcPwBvkZGqhCkjg3gElNPkZLcjnTviMZ63UiVyhqHJLjI69+2jMgrH0Y8DvmFGwHAvuLZ+/YS8+Wa7oMa18/uHIcP/51la5nPJy9MjaRDu7drZM1qEoHcwdKhutNtwbhPAXPA6jp7NlZNDWQdexyKe1btE/P74449SCCEPHDhQ1pC66Mvp06flhg0b5KxZs+SBAwfk119/7alcd+3atei9g+d+8olSPM3sybg49b46dHCPyuaYEoIM5fx8RTtwACNLQwiVrRAMklyPiSEFf/JkUqiDQV1Oh8Mkg1EiwGU7z86GXOJypF8/2lcIVUqI32rVIv7F8cEV24oVqSwZ/Texb5UqxAPAm8xsuM6dVaaIreygZ0/3hFWznCo3V+HIdEjFxrr5U1ISBZTgnDIdaeEwRdqh4Js48+KdplFc0mpzsFWtWrVUMvj222+Xw4YNK2s4XfTl3Llz8ttvv5Xz5s2Tq1atkidOnJArVqxwlRdjDQZpIASMpGHDKJgUDJJ8TEzUjankZHovyckqWGxmF8EAC4dJBqMnJt5puXJKJ+YGLzJPhKDSIpTEwkDHdk2bkvzg533sMQqEgcbT01Xpod9PukGXLm55Z9LnjTfSs/D53FPILruMjGVOn0KQg37AAPrMp47i9/x8IW+5RXe6gycFAvQc+SREUwbjO2RFR0eTwT9pknJo8WE0OGenTuoYaNWA8zdoQNUdNgc2SqO5DOaOLMeh7B0M9eABZDNLE057/szz8/NL5eAKBoNyx44dZQ2pi76cOXNGbty4sag1D/Bsw+9ll11W9Nwhb1evVkOKUB0AWuPlpG3a6AElOGTat1f2mc2e8/vJ7kM1hVlmGx9PCR48uMHxEgxS1RDvE80TS0z5YHMOc1rH9tWru/t+cRkMHoYANbIccW8+H8lgHmT3+cgmgL7gVfpnyjwugxs3pmcKmwW6EA+e6UN67LKQnycYJBnM++tGRqr3hQCW6Qw37R3+2avXMdZ9+/bJn376qdQOrvvuu09edtllZQ2n/2i5IA6u1atXy+XLl8uffvpJnjlzRn7zzTdy/vz5ns6t7du3y6SkBO0lcMGAlPqbb9annPH+D40a0d+xY5WXGAIVxNy4MaVcwmgFMdmmMEAh5ozdtvp85BCDAi+EXjYpBAkzrsyDOGvWpHviwgUCNTOTlBSACxGXlBT6DVlnJoPg5Q8+n16OYAIOI4tNEODeo6PpvOvXu3ufcC99KETPmoObR/hxLLwjsyfEFVfYa/5LUrg50Hn/BdvKlQK/35Hbtm2Thw4dksePH/cE9pgxY+SNN954ISDyh15++uknWVhYKHft2lVUDrFy5Uq5Z88eK35DIUe2a0flN3gHqMHHs4cDlr9HTDR0HDVtlGf/cGEGATd6tBKoOFa5crojFZ+B31q1VJYWpzP+t2tXypjiRqvZ48/Maqpb193kOjqajPIbblDHcBy6Jttkm0GD3KV6KSlCPvgg/Y8yQOAIfOOuu+h4ZqQtHKboULVqiseZ2TaDB1PDar5ffLy6lzp19LJH3NuTT1LfFi9M2niJV2aI+Q6wmlO/bHzAcYS888475d69e+XRo0c98Xvw4EEphJBHjx4ta0hd9OWTTz6RS5cuLWoL8N1338m5c+da8Tt8+HApBDlmuaPV1nD5xhv1CUOc7/bsSQqguQ+CFUJQgAb8Hr9x5ZTzjIQEyu7s0EE/Hu8Nwmli4kRdSeflEJ0760atTVZABkO2paWRDMb5TJqNjqZsjNxctwzmkWTebsDvJwUe36WkuHua1KqlWhKYzxGNws0egqEQOdi5Y43jHv1D4JCw6TQ86o7+Ltx4EEJvcg8j2CvbE8+d9+Xj59q2bZv85ptvipXBEyZMkNddd11Zw+miL8ePH5eFhYVyx44dRTJ41apVcteuXVYM79y5U+bn5xfRCeg5GCSH0Cef0P/5+TptIagEvMXEkNN3wgT9vaO6AVkPPFCLLCvQVK1aOg5Hj1b0a2ZvmmvHjsqxjn620N0GD7b32INuWr26Tv8TJyod33YuIYgnjBjhNnKhQ1SqREEelH2hssOUR36/cqQFg+Q0QnN96O3Y1jZEycRHrVp6r0KbfVIcL+P7mcElzk+8+Ly5wqYBb3QcIevXry/37NlTrAz+4YcfpBBCfv3112UNqYu+rFu3Ti5ZskQePXpUnjlzRh4+fFjOnj3bit+xY8dKIQh33MaFTJo2TciXXlJY5O8G7XRs797nI1zzoSEI+nCdMiJCz37m9i/kd79+6ji2NjycTnEcbut16EDOOGyTnq70UGALOjLoLCWFZB6XzfhbrRrp7WYgCAEfjhk4w0D3VavqOi4PhOFYV1zh7vuN38qVIz6Id4W1eXN6P2grwOV0IEBBY8h+m2MN5zAdkmaiCH9PXAabzjDTrvb5hJw7d66cOXOmXL58udy6dWuJMnjKlCly5MiRZQ2n/2i5IA6uEydOyFOnThWB9/vvv5dz5syxAnvWrFlFL2DoUHuGE9aHHqI6WSEoimpLybz+eiFnzHALDxOAOTkkAHkzdN7wPTpan7bEQQkCLVfObqiZ3lvuDGrenK7dnFyE3iZJSaSE8J4jXo1v+fEHD3ancPIoTI8eqn8Iv1+APDNTRQU44+PnNxtLh0LktBo6lJ5TIKDKJPbtUw46s1ltVpaa8oPvuFdcCGJ8tukappLspSDk5LifBbaLiAjJlStXypkzZ8o5c+bINWvWyJ07d8offvhBA/aVV14p77rrrgsBkT/0cvbsWVe/vNWrV8udO3d6Orhat6Yx3xkZunGHd9uxo5A7dhBtVK2q0yIX1Pz/zEyK6HKc83c+YoSqx7cJoaZN1WRBXAvvHcRXDLTw+0m55BEyjuHISMJNjx4qmsoj22Y2Kadp24p7rlJFlWqa/EQIOidvPO3z6Y4GISgCzZV50/jkK663aVPq/2HinStR4JFduwr59NP0+eGHqVlp5cpuhcssJTYdF7ysy8R0KKQ7WaBk8eMNGTJErl+/Xi5YsEDOmDFDLlmyRG7atEl++eWX2nRUDD349ddfyxpSF30xZfAPP/wgZ82aZcXv1VdfLYUQ8pFH1BQ227sRghycN96oPnMs8SwprGPHkrPXy+kJzMGo5I5X0xAEHTVtqveCqV9fYRjymjvRTCw0aUJGPu9Vgqzme+4hek5J0XuOhMPkrOHNpk2cDxqkZzzCyIe87tJFz8bAb8j6SE3VlW48gwEDvAfqBIN0/8OHq55LMTH0PXDLy8pwrRUr6roWeu7x58WzV0w6MO/d6zev7UIhv1y5cqUsLCyUs2fPlmvWrJE7duyQhw8f1mTwVVddJW+++eayhtNFX86dO+eSwWvXrpXbt2+3Yrhx48ZSCKJhDDgy9UFUALz/PtFxs2ZE76Z+mZ5OBnWdOkR/TzyhO6xMnty1q7uVhC2LALpAcjIZf36/yibzoiV+Ht40e8wYd9kx+hXZ6A7HxTQxPpENv1WqRDKYO4TMbA+ODZOX4dq8ppYjQ9a8t4YN6X647A+FdKcEAmV49gheT5hAjj2vqaWtWyt56+WUwLVwR5d57dxBh+c1aNAguXDhQllQUCAXL14sN27c6JLBBw4ckEIIeezYsbKG1EVffv75Z00GHz16VM6YMcOK35tuukkKIeRf/kJyGO+cvwubI/Ouu0juCKEPd8FwgXbtdJ2QHyMrSwVqu3ZVASGU9kLu9e6t9471+4lmIYPNFhs9eqg+dWb1jU2O4Dv0iHYcwlCrVjrdh0Ikg8Ev4MjimImOJlnI+REyKaEndOig25b8mpKT9YAU+Er//oovmAEpfp/8WNHRevAOFSHgGz6fkOvWUWWHEEoGe/FAnIP3DzN5o5llaXvWubm58uqrry4qm4UMXr16tdyxY4drgNP48ePl9ddfX9Zw+o+WC+Lg+u233zTwHjlyRBYWFlqBPWrUKOuLAJFNm6Y3i8R69dWU2isECeAxY9wODyFICPp8JLgefVQXMJxx8Cbw+J03XjQdWYjYwPiuUUMX1EIQGEeNUsLdVBazs8lY4KnEfr+emQbDG/sGAsS8zHINfm0tWlBKOX8e/Lx16lAZBo/GBoPq+jEunXuNQyFyvHEFPxgkh93ChWTI8Gh+1ap6RA3CdsAAXVHh1+YFbLwX3vMLEUV+f5wJmwyZKzM+nyNPnDghjx07Jr/88ku5ceNGuWTJEllQUCAXLFgg169fL1euXCn79OkjH3roofOCiQcffFA2btxYxsTEyNTUVNm3b19X2vbp06fl9ddfL5OSkmR0dLQcMGCA/O67787L+f+d5dy5cy6cfvLJJ/KLL77wLFH0SsdFJhFn6vXqUa8tNLxt0kTIl18mx1IopARnVBRFc5s1o/f9wQfuaac4dpcuZNSaQgfX1bAhRVUhnHhWCaIe4BWc5i+7TEWVQIfBIGEHBiLwFwiQssD5QIsWZLQD/2ZmGI5VHAZMHmQ+Y2wXG6srsZwvgP779FEOCptQrllTnwBn8jx8l5NDjgtkiMJo8LqPktaICFKyvJrwm+/7gQcekCdOnJCHDx+WO3fulGvWrJGzZ8+WhYWFcuXKlXLbtm3y7bfflqFQSJ49e/a84OJSwrApg3/88UdZUFBgHRLx0UcfyXDY73rW3buTI9pUsLAOH65Gcj/8MJXvCKE7aTp1EvL114n+rrmGZHVCAsk8yJIKFShIYlPOOO2NHKk7ZbgBKAQFTXiJj+MQ/+HTzEw6Kl+e8MAbQ6MhdZs2dI2YKmo+h7FjlSJvGiM2Gjajq/XqEW/jpWM8aBYOq4xsL8UXke977iFjF31++HYwDvB/u3bKgW8a6OGwytYwy6v49Zuymesn2J7zQbM3VygUKJLBBw8elJs2bZJLliyRM2bM0GTw5ZdfLu+9997zgolLCb9SShdO169fL7du3WqVwZGRQe19V6tGwQg4jUeOdAcuK1akAFJGBuFq2jSSyfwdhsNC3nuvyrz46CNV0oYeknivHTpQUNOGXzhf69ZVPbgQ7MDERThreYZ3MEjGJWQSl4UcD3zKuSkrmzalzFJ+7/HxFJxFhiIyG7HGxBBP4lPUzOOOHEk6Lb/f2FiFn/x8eq7893Ll6Fq8+JEQpOOYTd9x3lCIMuJ43yBkp9iccS++SHzZJpPxDkxsFid3+efrr7++KEsLMnjOnDly5syZcsWKFXLbtm3yvffek0II+dtvv50XTFxKGDZl8PHjx2VBQYHm9MI6f/58lwx2HJpUaZMlnO6ffZY+c90P7xr8vVo1kg+mwxtZRatXUwY2d6AqXq2fs3VrXS5nZuoBJ358ZDAPGqQHmvk9ZWSQLc/7Vfp8qg0AesPyAS4257HpeGrUiM5ro3shyEa99lrd3oYdzK8DLY64zcunyprDaQIBarGBidRIXtm+nZIAwCd8PnIGjhunv3PukOS2P45fubJuixSnb5v7RkWpgHww6C+SwV999ZXcvHmzXLp0qZwxY4acP3++XLdunVy1apUcMWKEnDJlynnBxMXG70VxcP3000+eyvVdd90lhaAXj7HjXOnq148EnBBkBKP8kBN4hw6qdMYGTGRl3H8/MYGRI8lYrlKFCIinJ4bD5JTiRARvOIhk2DAyxjghRUe7FW6cG2VHZvSWE3VMDGWnZWcrguV9rRzHXQqJe23Thhx8QrjTTytWJA+8l8BKSiLnH+9T4Dh0PzwNEuWFNuZiY2rcecZX/m69SsDatiXvvS0qZRO05sr7o9h/j7WmYh49elTu3btXrlu3Tvbq1Uv6/X6Zk5Mj77vvvv86xbpr167ytddek9u2bZObNm2SPXr0kFlZWfLkyZNF24wdO1ZWrFhRLl68WK5fv17m5+eX2Yh0m3K9ZcsWq3IdFxcl+/YlfKGpKZy2d9yhGjeC/s33Fh9P2ZTIxuL0zQ2pq65SE2EWLlT9CUzBVqcOYdxk+pyeoEBywywlRXdko0+dTYAkJ+s01r69PuHQxIQQpMiPHKk3qkf2JgzTli2VgAOGO3ZUZZlmdFkI+t1WZoHPtWuTYysqSj1Tn0+VNIE/cuUhFKIMVt5fAVFcvDOvwRBwjMPpZcsC8fmUkV2jhnd0mfdj4+/g0Ucftfb7OHTokNy2bZt8//33ZSgUkuFwWA4fPlx+8MEH/zUmLiUM//777xpGT5w4IQsKCuQvv/xixfCzzz5rzdo1HbIvvKAUN759mzZCPvCA+p4re/hbrRrJ6YoVvbEJJXL4cH0Et43fm9mKMTEq8FOrFjnOOc4ch3jMiy/qTZttxqvpKOeyn2etwSmHjNRq1XQHHzDz5z9TdB4ZoEKQDvHFF/Rd69aqRBtlmwkJSoHF5GUc12aU8v+BwSeeIOOB846JE6kBdThs70ViHhflHjaZbgaZzH28ZPCTTz7p2TcPMnjAgAHS5/PJ7Oxsec8998gvv/zyv8LEpYRfKd0yeOPGjXLTpk1W/CYlxckePUivNdsDpKVRKwwzOMTxGxNDAQuUAzdurDIK+HscOVL1yDJ74vBj1qxJ8ppjzHEoO6xGDdq+Zk29vDcQIB0aPTu7ddONR2RM//3vJO+EUI4pnKdxY3Kke2V1C0HH4T3DUN7LA95my5D27d3OKvMZmNhBcBr/Jycrwxj71aql5DIf7gLHU48e9N54kKokHRjBLhOnfHvwNPzfoIHu3DSDzybes7IqurItuQz+/PPP5cyZM2VERIQMh8NyyJAh8p133vmvMXEpYdiUwSdPnpQFBQXy559/tmL4lVdesepUeHdNm+oTEU0M4z1dcw3ZktAfzaAEsgxvvdXOv0FrQ4eqISg2GTloECVScPrmx6lWTe9j6ziq+sGrpFIIkklTpug0zOXdkCFqoqS5Qp7x6YvIzu7XT9G92eYgNpYcTbyHninfBg/WJy+bpc/Z2XpLEdMugQ7k9f6CQeKZoZC7RLE4e9bUjb2yvU0sR0aGPWXwvn375Pr16+WQIUOkz+eTFSpUkHfddZfct2/ff4WJi43fC+Lg8lKuT5486QL1hAkTpBBkHIJoFy6k1Eu8dLyQ+vVJwHoRNX+BjkNK5YIFylMNQklJoQwwOK74cXj/HghUm/HFCY43vQQhQ/HNy1OTAwEuv5+OOWYMAQs1uzguH69terxxf926kRGA/9Hc78MPqUm/49C5UQKC4yUlqSkZtv44gYCQU6fqE974/fbo4Y6Ic3BlZ5OSYaax3303GUdZWXYAolcE96Tz99mmjZs58HdtXo9Z6sF/S0xMLFVzvebNm8tRo0bJwYMHy127dp1XjBw+fFgKIeTy5cullFIeO3ZMBoNB+f777xdtgxKrNWvWnNdzl2axKdcbN260CuZg0CdjYymaxCOhvJQ2LY1KjNPTVUNmU6BygZSSQtt8+qma6MaFf+vWKpL84Yfk/BZCd8Kg7LVxYyH/+lcSPjExev+ZmBjqPYSGtJy2uGAzHbzly+s9Mmzr1Vd7N3iOjSXDkzcP5VErIcjBxEt5hSBFGxNckpPdvQlyc4mvmBgDnhISKPMEvU2gSKelKR7WoYPu9LdFh8JhimRlZtozRkyliY+VN38zRySb/NymxD/zzDMl4vejjz6SmZmZ8s4775R33nnnecfIHxnDpgz+5ZdfZEFBgTxx4oQLv3Pnzi2SNTDAZs0i54gQOi+tU0eVRLzxBmUOcfqCvILBePfdQr7yilL4+LsMBknx/NvfFJaCQb3EB06Zfv1U4ITTAX6/8koKkHElntMlHO7x8eR0j4qiiPWUKaolAHfq+Xz0e36+LoO9Vq6c26b9tm8v5FNPufvdcAX7tttUFqrN6AAOu3RxR6Zxr2avDj7gw8SoyR9smAV/8DKqOV8rzqHFt3/xxRdL3eC2bdu2ctiwYfLKK6+UW7duPa8Y+SPjV0opf/31Vw2nW7ZskRs2bPCQwQEZHU10YZNL3NEbClHAw3SCcJoYP55aCvj9RLuYemYOnMDnt98W8t136TPPxLBld5sN4qOiSBZWq6Yf08xi4pnFNkcA1919PsqkGj1aXTP0bPwfHU3nrV5dl8HcYOzRQ2/gDdk0Z47ifVxWCkGBm2uvVfeJ8zVqJOSBA+TU4qVLuJ+0NL3kCs8cNkPNmiq4IITKDLHhGw7p999XWfTcjjEdDMVh182LfFoZYnHrvHnzZEpKirz77rvlLbfcct4x8kfGsCmDT58+LQsKCuSxY8dc+F2zZk0Rj69enZxZ/LnDvuOBim7d7I6eyEjVDzcQIBm3ZAnRV2Ii4SQcpqmGyEDm75rbr8BDu3YUMCoNnXBbktNZXJwKavp8dB/BoN77ldsBKCMeMMDOR2wrel336KF4QLduxGNwfRERJNeBT9OB5/MRf+zQQT+nqQtzuxrPvUIFFRw3Ww3hGUHPD4VoH+6HQGAL+2AAG/5v3tzd/9CWPe31njhfDodDpcJw165d5ZAhQ+SwYcPk+vXrzytGLjR+L4qD69SpU7KgoEAeP37cBewXXnihiPjxEtLSVKaWEKrxNBc83Ah68UUhCwsV0wfhxcXptbN4saZzB4ResaKQe/dShMpxVMSLE3VBgXK+wZgHCKpVI+eR10S/xERKE8WENfyGzI2BA+lcUFBAvPXrU1YTmIKttIgTPARZzZpKqR892j2eOTJSCdT69dU7wG/8mDbw5OXRszJ75thqhBs0oAwfDmavvgFeq+ntNhmHFwM0n1PTpk1LBex69erJ995770JARO7evVsKIYqU9sWLF0shhPzpp5+07bKysuQTTzxxQa6huMVUrrdu3SrXr19vVa4TEhK0UeCOQ/jkk0zMd+M4isFXqiTkzp0kHEIh3ZFZp46eMQG65Mp5+fJk4ApBjdA3bKDfEQ1OS6MSKtNZxIdBwIi98kpyqJmp3KDnnj0Jp6Aps4ErL6WAshAdTQKT9/gzMXvllXo5GASWbVIojh0bS/fkOIRdnm3l95NwvOwypRyZSjXubfx4vcdKRIR6zq1bk1IN/KemkgKG8/D7x5SmPn3Ud+GwjlXz3sePp/Rzfn9eK6evl156qUT8vvfee7J69eoXDCN/ZAx7KddmX58zZ87If/zjH1IIyhDCO0hN1bOU4Zjhcjo5WWVX87VqVSWnYmMpyhsOk8P300/JiYbyu4gIKnMExtPSqH8jyh151pLfT/TeqBHRQGKi7uAFT+jSxR1NBt3xzC0ug02MwbiEDK5ThxRen0/PkOFr9+56qQZ3ztqyw7zaJeA5oGfI9OkqY8W8H5QKI3PN59PLhiMjyUHPjeUrrnDzGfN6+bXw77gDDY5s3oPQK0Mbv997772ldm6dOHFCNmvWTP7P//zPBcHIHxm/Urpl8Oeffy4/+eQTqwxOTU0tkqd43rylA/7GxSn68Pn0gBBogRuZgQDJPFRIfPYZBUCF0OVpZqai0Ycfpu2SkvShR9ArO3fWe99yXPh8agiKaVzic7dutI25L+RrSooyLkvjnOa46N5dp3czmwKGdjisG5qOQ+fjPXttPAKlmvy7+HiyC6D3wxnfvbsK7jVrprBn6uJZWZT5IYRuyIOP8GnvJh5tz7ckvTwlJaXU+C0sLJSVKlWS586duyAY+SNj2JTBZ86ckYWFhfLIkSPWIJMQqjxVCF2G/c//CDlvHn0uV04Ff3h1DgXv9Qmg0D979VLH43Y05w2hENFefDxl+OLYsCOFUPK/eXOFOd5IHf24LrvMXdHk85Gc79lTTW7kci89XR2rVSv3YIMaNVSGaUSEOwnClrABHZXLf96KBOcfNEg5xyBLId/q1KEAG8crPl92Gf3t25dW7kAyA10ILnCdGc/Q1tfLhk3YVsX9zvlDcZPNg8FgqYNMf//73y8IRi40fi+Kg+vMmTNyxowZVuX6/fffl0JQ2jGaw/MMAAhlpByaLwovFMTpOOR4wva89xJS/7t2JSW6WTO995QQKgOJEwIUTSEomjVlik6wcKaZ11SpkgKpOWEsEKCG+C1bugmUn7thQ3UOZLY0a6YUbV7G6PerqXQ4Fgc//r/+eneT77g4pRA1aKCYAAR6aioJXK9oEZgHpmwhCsC95ua9cUMd39mi32iGyN+n1zWUtLZv375UoD5+/LjMzc2Vc+bMOe/4OHv2rOzZs6ds2bJl0XfTp0+XoVDItW2TJk3krbfeet6voaTFVK6/+OILuXbtWqtynZmZKWvVonKb5GTCHoYEID2YYzAqipg6jz6lpZFgiYmhWnVgzBzGAFqZNUvxC54CHQ7Tcb1K27BizDBwW7++vo8Q5NhBXwIvujMnmWKFkzcjQzm9cP3hME1JNHt4cb43frx9Wo4QpAiPG6dPnEQ2DJxi3brpRq/fT1FBPk2mQgX6/p//VP0M77tP9UvAvjZM4pi2UilbRlerVsphwo3k1FSlnOPZlybjZPHixSVi+LXXXpONGjW6IPj4o2PYS7n+4YcfXN/Pnz9fCkEZRsuW6e8Y7wSG8xNPUFa0ECR7eCN27DN5MgWKUPYbFaUrizwabZ4LdNm0qZsGWrVSfaEQSKlVi/ZNSlJ9O0GbCQkU2OGO5SZN9Kzk667TG8ODv+zbpxru16+vSm39fuJxUPAjItzTUWNi6Ly8zYF5j6NGEUa5rPaSrWlpZKDg+T//vO6oK0n+hULeQTFEynlPS68Sh5JkbGmzQFavXl1qA7l27dryww8/PO/4+KPjV0q3DN65c6dcvXq1VQZXqlRJ5uYK+fnn5EAKBnUDE7I4K4vkK0phuEM2ECBaCIVIvtat63YQxcYqpwtf09IUTQaDJDvxf3y8ynquW1fROpw9Gzao0h+zQXvLlrrhaK41ahC/4TIlECDMIyA8aJBqXo1jh8NKLnP9kmNq8GDltOOOwNhYvX0BrjUYpLIuZJ5066a/g8aN7RMN0Z9w2jR1HBM7EREUWIuJcZdme2EuO1u1PDGd16bTjt93fLy7Jxk/XyhUusyPEydOyHfeeUfWqlXrguDjj47hs2fPunA6Z84c+f3337u+/+STT6QQ5Bxeu5aeNfQ30BhvgZGbq/RHnkkUFUXy03FIzmKogxmIRMYyhoDFxem4Ll9eydN160hHFEJ3kkHGIuCEfbndGBdHsg748fn0YzgOVRx06qTTYGSkwmSrVuQY4zIsMZFkOafNuDi9H27r1tTDFz3+EhP1TLDhw0m/53QvBGV/CUGOvUaN1D42+Yxrhi4UCFDGO+wGvp3jkL7C9fwpU1QQD1ldQqj74HpQtWpkNyQm6lOpbcPYSrNmZmaWCsONGzeW06dPvyD4uND4vSAOLhuwZ82aZVWuP/rooyIi4Y4mZE9ddhk5dIRwM90mTZRg5Kl65mQWDkgQQWIiMQD+HcYSwxlkTmmMiNAVeb+fnFh+P2V1ffopEXdMjIqkwAnWvbu6fhsh9upFwtGMSkVHU3N8Ieg58D5BGO0K5aVpUz1LIxikyBAyKkxBhrVnT7eCAMM/O5tSRHnaJJppQzmqUUOPAmOCFb/PRx+l55Oc7J3hxt+VOSnSjDpwIW+OQjWNBXzu2LFjqQXz8ePHZWZmplyxYsV5x8fYsWNldna2/Oqrr4q++yMJZintyvWqVausynX16tWL6AJK9LJllJUUDLqbvyJyvHKlyvKqUUN3/vLsKqxDh+rCkZcOYM3JURFQYAA8AcIjIYGUZu6cSk3VeQYfV+z3kzLcuzf9HwrpTh+/n87L7xOlwa1bUzQMDT5tdNm1K/Xn4TwQ21aoQH1/iouqRkdTdgxXWiMj1fX0768LyuIi2j17qlKT8eOJr6Wnu8vL4MDj/IhHDHEtnGebUx9hXJs4N6/JcYRctEh3JGzbtq1EDD/33HOybdu2FwQff3QM22Tw3Llz5Xfffef6fuXKlS4ZXLu2kG+9RZ/79iWcYhs4qCZOpMxLx1FOJNBWejrha8AAKnVC35uMDD2jGRgLh0mxBD3AccqdLW+8Qcq2EBRoqlNHHSsiQpVFxsRQpJdHls3edbYJzHyNj6cgjxBUWr97N+3XuDEZ8zhvOEwOZy7/zP49XbsS/nh2Naf1li0Ja6YzH++DG/3BIL2bcJiMb8hgPtDFcYifxcdTeSiiz6ZD3LwOE3tcBkNB544CzhOKc7iZx127dm2pZXBOTo6cP3/+ecfHHx2/Ukr5r3/9S8Ppnj175MqVK60yuH79+kU0gv6IeO7JyWRkckcMspv5++MyBA5kIaiv1803K1za5Md995FTGPKeO8ZAJ40bE78YN46+w5CZDh1UZv/evcRXhCDdmgdIhSB9H1nBNmdRMEgZjVxecuftqFG6Ie/z0XWgdConR5+gzEuq+PFA1+Bb3InMt/MyOrkuYAv8QrYOH674rbnyXp78nLZMFl5Khf9tVRnR0eS89woMCiFkdnZ2qfXoV199VTZt2vSC4OOPjmGbDJ4/f748dOiQ6/sdO3ZY7WAkV9SurVfK8GxNOKLbttWHKQSDqpfqF1+oDG0ug5CxmZ4u5MaNQt55p5smg0E9kxq6ZNu2apIpnDvQC6OiKImCYzQmpuSMyk6dyNlryg9OixkZuh7BccR1+rw8CgaNGFG6LE5T9kKXhbNw0CDim7i2SZP04CyfZopjtGmjV3xwvRwrAr/cF+HFF2rW1LNEk5LcCUE2vmiu9M4iSoXhGjVqyIKCgvOOj4uB34vm4Jo3b5789ttvXd9v2rSp6CWbBpAQJHTnz1eg5r/B2OSE2bMnCQX08rAZhtnZBEw4RpD1FBUl5Ny5FMkGkECUfH8Y3w0aKK9wZKReGgGCi4lRDZyRjug4ahx6hQpugqxdm7KszKaScDolJ1PUKidHB3lqqp7RxZ8TvOkovzIjQUKQgTBxolv5N58xFBj8n57uHfHhgOJTFjkQbQLZBDh3YPbq5W4kXxrvdbly5f4tB1dcXJzcsGHDecXG+PHjZYUKFVzN+v5IqdVSupXrvXv3yhUrVliV6zNnzsgbbrjB9S64ggsH0t1362n0cHK8/bbqaQGFGDSL4z79NK1CUFQnNVU5gUEjw4cLuWWLMnZ5ZAvZS3CuoTQOo7aJRujv3/6m+E7t2sRLoJRihDHomfco4unU+C4uzo3LPn3IYYfngBIi8Ayfj77jRnowSFE1nI8rvoEAKR4xMRQF5A2FOXby86lJp5mVBacyx1HFipSRySOHxfXuAD/lBoCtCS9X1Ljj3MYzbPygtI7qv/71r7JHjx7nHRuXAoZtMnjBggXym2++cX2PUe6dO6vy4ECAgjJCkIMVWGjbVu8bx2UD3nfDhnpfGxi9TZrQ9FT0xzCVTl5+L4Se3Yx3D3zCuRYO03b9+uk8Bc3a8T+XsYEA4ZNjhGd/CeEOsIBn8UnDkye7e+gJQcYADBPwAdxv1apq2EZ0tBuH5cvTvfGSYZyzWjWVAcOx4ffT9mZJSEQETcB75hn1DB1HL13DM8O7Ls1aGlnLcW/qMTt27Ci1DE5PT5erVq06r9i4FPArpVsG79+/Xy5dutRTBk+ZMkWjDdB8bCyVOI0ZoxtC3Onh95ND+8EHdVybuqdNBoAOkTVlyiQu54JB1cwc3/HrCIeV3v3Pfwq5fj19NptGx8QQ7qErAL84R/XqJHOffFLv3cVpvmdPt/EbEeEu2+ROoogIwi/PSjczKPx+Mn69yoMaN6ZnAhwGg6pqBHK+ZUu9JN+rv44ZBMDzQcN+vDvTWdW6tQpOcT0JvA7VFzYj+9/Ro59++mnZvn37846NSwHDNhm8aNEiefDgQdf3x44dk0KQs9cWuB08WGVXX365PkQJzsrevUmvDYfJuXTVVbqzxmysnp1NgRVe1gwd0OdTAZ6WLXX5Cd4wdizJ4MqVdZsQdJiYqFdQZWW55T76OWdm6v3ncI2wsW14jIsjGcxbc/AJpSbtcqdu587KEWdzCLVr5x4qwQM6uA+O+ZQUJbdr1FCl4PxaMLjD1C9sK64Lz4sHkzmP5ba06ci2PTeslSpVKpUMzsrKkosXLz6v2LhY+L1oDq6FCxfKr7/+2vX9N998I4UgBxeM18mTSUDYXhbSMseMod4dUO5AvK1bC/neeypN02T8wSBFZaZPJyHDa+xBAGaKPmf0nJhuvJGiVhjlaSqdPh8prLt3U5NrMBVOcMnJ+necqG1eZ/Na/X5iNAAstouMVFlZ7doRw+OCOD6ejHRb/w0I8iFDSFHHb9wwxXr99UqJ58o6n47jOPoYeK+VXx8vF+PPVwhySHAHgpmZZioDnJmUVjAfO3ZM+v3+89Zc/ty5c3L8+PGyXLly1mOiuR6f9rZjxw4pRNk0uDWV6wMHDngq19ddd13Re0hLI5oeP96tCEdGkvNl9Ghd2BQXXbFFaUB3KJUyHWqcFrKzldPWFHzA+euvU289vi9XXG+/nXAeDlMEhU9cCoXIaIWSwHtlAMO8pr+4CSf82oDB2rVJyJs9CwIBpcSbx2jdmkqvhCADt7hmwjin30/OA0xpTUhwZ8FiX8dxZ2x4CVFk8th+A02YqdzmtSESqXhLbqkwfM8998hBgwadN0xcShi2yeDFixdblesTJ05IIUg5fPVV9Z5RlsflaOfOQr7zjruJO3dm5ecL+Y9/EA9v3lwNDzHxFxNDhmJyMvEFyBo4nj79VMiXXvLmCaEQna9jR1LsMzJUyRL6XObkKAcvMgB79FAywVSeMzOVgQEexZ1NQrgNBZ+Pos49e7ozsEH7rVqp0jFcT1wcOQA43+LHNLHAy86wXe/eZKSbxoUtOwRGSEm4hdLMeUv58lT+hvIWc384MW3KNT8n8Y6gdQqqTbmOiYmRmzdvPi+YuJTwK6VbBn/11Vdy0aJFVhk8efLkonc/erRqLG7j96DXunXd8tVcUeLG5QTHPQK13buTnELFArDTuLGQs2cTnUJ2wDhENiCOP2qU3nsX+rEpC6pXJ6Oa85yqVd09x2Jjia8MGED/v/026aG2+8zLo75/iYk6BrnMS0lRGSuOowJR/FnxPrZCkL5w7bWla+rO+UBCgu544M+B3zd4BuRju3bqe6/JxFjNQDZvLF7StZY2i+vBBx+UvXv3Pm+YuJQwfO7cORdOly1bJvfv32/FsONQxs+rr9Izv/ZaCvqacqFdO7JfMenwrrv0bYC76dMJA02aULksHDRI0EhLI90XuqLNvhOCqgtee40+jx9PAS9Og9iucmU6X5UqhCXI3txc72xATu/Vq6uMSmR04p7i4yl4bco/LltMG9zka82bk58B/MnnIwy3aKEyMLlzEfxm0CClFwuhnh/3BYwapevZoZAegIY927KlOwsWDnWbvs3tc1tG6ODBqsKND8qx9ag2P1evXr1UMjglJUWuXbv2vGHiYuL3ojm4lixZIr/88kvX96dPn5Y5OTkyFPIVvYAGDdTI8cmTSRibAqBhQyEff9zd28kU1Glp7hp9vo1Xbx0h3Ipst26UUca3MTPEkpNpGhKPGkVEqAgTj5iOHu02EjCKOzGRFGJcN4RY587q2DxdEmvnzmT8eym8QpAhC2MCRndiIqWoVqig/se+xUVsk5OV4cAVqsxMvczMS/G1/W/bFt95lWrhd95Q0DyWz1d6B9d3330nhRDy22+/PS+YGDdunIyPj5fLli2T3377bdF66tSpom3Gjh0rs7Ky5JIlS+T69etl8+bNZfPmzc/L+f/d5d9RrvPz87UoYyBAOKlWjQTTvHlkfJrGH///2WdV9ggiRzzSyjMMuDDnkZ5Jk3QhbxMSkZGK9k1egO/69CFsmrwgGFSNdWNiqGwDGRU4Fi8pat3aPak1K4syEJF9CqUSx0hIIMc5hL0XfjBZxnweZkYIhGlCAkX+eC8Evn+5cu4SR1567FV+4cUbsB933ofD9C6TkpQg5goFaKI45R/PojQYvvnmm+Xo0aPPGyYuJQzblOvly5fLffv2WTFsYiYuTsjNm+m7CROUEmzKSzhxTCMY76xKFSpPT0ggReyGG9y0FBlJ/a7QB47LdDii8H+nThTc4nTB6SU7W8g33yQMod8fN6qFEPKxx4RcvVrJUJOuYXjHxZFCzA1nONSqVKH/kUXKr7FdOzIETH4H53Z2Nt0DL7OAw7BHD9IzzB5KNWqQwYMIsE32Va1Kuo7pkCtOx4Ej09zOJovNjG/OL0x+Dhwjy9zEdMOGDUsVZHIcR+7du/e8YOJSwq+UUv72228aRg8dOiTnz59vxW/79u2lEHqJDt5Xfr4bs/wv9Mlnn6VqAyGUk5nrvv37e/P7jh0Jd6bTxNRDeWaYjS5x/B49SIcw94fTC7J88mSyBbCfLeCD9aqrqCePECS7MVXRHP4SG0tBsTp13DQdG0uBAJN3ICsD8i4jg/Y3HfsZGUrm2TJHrrySjFbOh73krCmDTV0Xn7nO7PXModeY7T5suhbW0kxSvOuuu+SQIUPOGyYuJQzbZPDKlSvlnj17rBiuXbu2DId9RbResybRayBASQzjx+u4CQRom4cfJloYNIi248FjxyGafPhh1cfKS/f9059oOyEIy+3bu+nlyivJYW3Tr7FmZpLj7LbbVCYpl5Wm/O/enTCM78NhHVvcwYtsbL+fslIx0Zn3xBOC7nXiRHfwFDK4QgWSp+hDC9rPztYH1+A6bDLM1tuyUiWays6d9152Lb43+QjfBjy8b1/SOczAohB66w5b8NrrPV1xxRWlcnBFRkbKbdu2nRdMXGz8XhAHl5dyvXfvXs/06lOnTsmMjHTNU+nzEQFefz29uDvvpGmJHORw3qSlEfi4gWs6v6CQ1apFtbnI8kKjWhwP0Sab8Yvt6tYlIWkTGKaR1rq1Wznkx8zLoywRPl4ZwpT/j35juL+8PL0hPm+Uif06d3aDH8I4L0+PyHXrRs+xQgVVMtWypYpagTGgoT+ug3uew2F6D5xZCUGZKMiWQ+om3g+PrKEULCbGHlXkGR82oY9G2+ZvYDYvv/xyqYzjffv2SSHIkD4fi3mdWF977bWibU6fPi2vv/56mZiYKKOiomT//v3Pm4Pt311M5frbb7+V8+bNs2K3V69eMhymOn9k1vFsvC5dyHkVDAq5YoWiH15WgB50JpPno3yFIGWdlyPxc2GbrCzar08fimKhZw3PCkRjV7NRpYnNunVJUCObhW9jCj1ErTi/4Qp/YqISzhD8KEVwHLtTa+BAUvb5ubjQbNWKnA+87JPzpOho5VTCviZf5D2FhKAoIp+UaI51twlPLwGN1Sbwbc/ccZRTH9tBsPNzlAbDY8eOlTfccMN5w8SlhGGbDP7444/l7t27rRgOBKjhKaLHeB8IVlx3nb1/FN4HUvTDYcr8feopvWelEGRITphAztTcXCEXLiS+4OXUBMbMc3IshEIkr8eOdWeX8IyRK67Qj2XKlipVhLzjDoq6cjlpTjzi5bp+P90H5HJGhjsjTAi6x9tvtzuQwmFy7LVqVXKAJxDQs5FfeUXIl1+mZ8ANGo6vcJgci4gm+3xuXQSOO47Btm1Jccb3mEpnXh8+w5jn18D5kWkk9+nTp0T8Hjp0SAoh5Pfff39eMHEp4VdKtwz+/vvv5Zw5c6z4HTx4sHQcaiCPHjbmFDI4PrdsIbkjhJ5V362baqruJYO5s+TRR4n+uMzBey9fnpzMJQ0swN/iJoXWqkW6v23YiSmDeaa2iXPTWeY4dExegmUGfhyH9I2+fb2Dvc2aEf8xMzhM45nrrYEA7QfdGj3RzGObvS/NleOMD+8oLivecfT32KePkB9+qOO/uH3xtzQy+KabbpLXXHPNecPEpYRhmwxevXq13LFjhxXD77//voyMDGpyC7SSnk5BkVCI7OHnn9dtVL+fthk/Xu8hZ8NAIEDHKV+e5H16ujoXHMSjRlFmmPnOTRmVl0f8oXdvkkdxce4KGsgNlD/27atj8ZZbqNQxIoJ0z9q13U74atXoHIGAPnDOlk3MHVS4zrQ0VfFl8gP0qjbLG2EnC0F2gtlwPiVFTYQ0MWJev6kvQcc12/9gW+jo2K9hQ5WdaR7Phk/ed9DmBG/ZsqU8fvx4ifj98ccfpRBCHjhw4Lxg4mLj96I5uFatWiV37drl6eA6c+aMXLNmjQwEKCrz8cdKoICgMO4UqfbIqsjM1AUUxnj36UMTWpo1o20BjFCIolEdOuiKIaKyV1yhO7KEoAknb7xBn7nB5/PRcWNjSQmcO5eivoGAcpxNm0bZZniZDz9M0TIzjVAIOs6UKST4TDCWL68yS3r2VI4lCNY//5myZaKjVVQKDC06mhxPubkKQPy80dHuUiaA3xZpwrsJh8nJxie2mQq2EPSMvCJBKSl6arr5O7La4AA0FXJ8hiKN82dk2BngVVddVSKwt2zZIh3Hkb///vuFgMgffjGV68OHD8vZs2dbcdu3b18pBCl05cvTO9i5kwQCp08hyHEC5VoIFX3gQpErsvPnqxHlEL5QQnNyVORp7lyVEQUaSU6mhrZI4QW9gG5Bx5xGXnmFJrryKJgppLKyaMrUwIH0P8qmp08X8rnn6POkSRRd8vkUNtLS6BgZGRQ9ysrS6blyZfeEQY61+vVVzxCu3OD60tOFvPVWyuTg1xwTo/M50wlQrhwZ2F4OK2xftarahju1bRjzUrCLS1U3t/OKHpfWwTV8+HB5++23lzWUymSxyeA1a9Z4KteBAL1HPq1owAB69yb98EAKZHBGhirZiY4mo5Bn8JrTRgMBUnS7dFHb2Hpschn8wguEsWBQ8ZlAgHrFwTlVt66QL76oslLMJtE9e5LyDnriMpgrpVFRyrFs0qQQhH1kYuK3uDjd0QMsBwLUayQ2lgJOmNpocxj270/ORJuRXr687pBo1ox4XzhMTo1ly1QZJBxtmGYHOWrDH49sV6xYspGL6y3O8V3S/nXr1i0Rvxgh/ssvv5Q1nMpkMWXwkSNH5MyZM634bdmypRSCeDkPhMJAQ1a0EGSUIoto82YK4Jh8nNP9jBmULQEZgO9zckjOcdwGg3rPJ/CPUaPcU+H4Ofv3J9klBPW/fOkld7YCZHq5coT12bPJmc5xDrpr0YL0aK/+rikp5JRCI3vHUdMewTsaNHD346pTh+6lODmWmkrbJCfrGWKolhBCGavgYRkZxHtx/WaPHlv5mG2wA3fCcd2b86niHOn8eGZbBy6PSyuDx4wZI2+88cayhlKZLSZOP/30U/n5559bMRwK+YucruhhiabkKA1Hxm23bvZgCsetV7NxnhzSqxdlgfn9Qt5/v3KS8qCx4yj+8dhj5PhCdjSOU64c8ZGOHYt3rpp0hm3RboD3vb7xRgqGezmpueNZCGVnjBypnhnPDEOAqG1b1TbBJoN79iS7waz0gv1ZuTLp9tweDYXo2CtW0P68Bx7uD8/VdLSb8tSUo5znmr/bdG88JzM4aOK9R48eJeL3q6++kkIIefTo0bKG0n+0XDQH19q1a+X27duLdXBFRoaKwIceTo5DoIMhzA07jBIdNEjIPXsIqLxpnM9HzpcqVdxExcHJFTUuUHk2RpUqVF7h85HBvWKFKuUDkUVFUX1yr17FZxk1bkzNPMNhSsMuLHRPvgFBXnGFPoUB6yuvULQOzwEgwxhSDoBu3ZRBCgHXvDkJVC6UuROqVi1iWKagxbEjIogJ8Ig270lgTurgHn98RjYLF948jd2LeXsJ5oceIucifsdzwYprmzBhQonAXrNmjYyNjZVnz569EBD5wy+mcn306FFP5frEiRPy2muvlT6fT3v/YPBr1pACK4R7XDd68HgJwqQkMtKEoLTnxYvpc7VqhDcYlgMHKjxt3qwENXcCodl9ZCQ54O64Q50D56tXjwQ4MkbnzSOBxh3AMCjHjlX0aCqN48dTX6CYGDs983p6v18vOQS91qmjprQgiwkOp+RkNTZcCLci7veTM5yXlcDBFgop3HbtqvicKSyhGJuC3utdmQ5yx9GVLNPALi7SjGfAHfXqGnylUq4HDBggH3jggbKGUpktNuV627ZtVgyHwz6Znq43/b/lFvp/0CDCS2oqvU+emh8RQf/36UMyGAYjp5NwWE0/s8lg0FWDBu5BM1wGV6pEuOJlTj6frjRGRFAgp29ftR/omjex5Qb2sGFkLOfn07Gzs3WZNXAgGdIm7eIeGzWiqDr693CncDCoy1DeB6tZMxU1jotzZ6JWr04ymPMnziv5xCZkdHP5LwQFCl98UclnU3ZGR7uDUibezMlQ/Blw55htLV9eTd3ifHLEiBEl4nfTpk0yEAj8X5Dp/63Hjh2TBQUF8vTp0y783njjjVIIklXcmYF3s3SpkE884ebhcXF6FYBNDiQm2ocQ8Cx78HLgacsWOnZioj4tlTu/OC1yGqpdm2RzMEhVEgsWkOyIitJxe9VVpJPj2DieOfiifHlyniGDjTuAuMPGzHSIi9Plalqa2/CvXFkNvjBLjcqXdweh8BlDKoSg4C6y2c3G9F4OOuAR14tWCDYZbH72alhf0v//SZDpyiuvlHfddVdZQ6nMFhOnGzZskFu2bLHK4OjokKxZUw0CAy0HgyRfd+xQbWk4L+a99DjfTUmhdx0ZSe0peJY/bCOun9WurYLSa9aQfQeegm0qViS9NxikUrzVq1UGMXdaBQKEL/QCtDnbevSgvyNHUrIJ51umrdevH/XgKoleOU6CQdVyx4ZB+Ac6dnQfA8fNzSUZDHwCc1ym4334/cQzzL6FJm91HLLJMeSKN/Y336PPR++RV5+UhM+qVel5mvdkPp/LL7+8RPyi/9Wvv/5a1lD6j5YL4uCS0g3sdevWya1btxbr4IqLiypS1LKydE8zZ9zBICnDXboogkhJcffrSEhQkwd8PiVoU1OJWaCvSOXKikjbt1dCbdYsmuQCIgSIY2KI4YTD5IDauVNNjOBgwmf0QICiivRDv5+uZcwY+lurFhnnyHDB/XCFma9cKejWjRxrZqQcghr79+mjT2wxARUZqQQ21thYYmoNG+qKhJmyDaDyaL/tr2komH1QzHXkSMqqwfUVFz2zCXFzve2220oE9qJFi2RGRoY8d+7chYLIH3r5/fffrcr1qVOnXLjdtm2bDAYD/49pKqOU0wbw+/bbZKQKQYowIq98iqAQhEOesQVaRUnh1KlkUPt8ZPShdBVCC84cRIFjYvSpaTVqULYD/odhDl7h99Nx+TVyGrMpns8+q9KrvTIYmjQhWm7ZkrZBlgtw2L+/O3rk9xN/wTjynBy9710oRMYyr8W3CXUY7Y6jfr/9diH376fnb9tHCN1gQD8FW8m1bV8zcmQ+F9v25mczehwOB0ulXHfr1k0+9dRTZQ2lMltMnH722Wdy8+bNVtkbFRWUrVrRlMPISKI37siKinJPx6xThwxfvMPERD1LQwjCcKdOqt8NZEt8PJU0o59N166Kpnhz1g8+EHLtWre8chxyfPv9pPxu2aImJ/LrRKanEGQoz5lDn4E7OIuvvpqOZxr3kME8ixIDNPj12KLMXgGZHj0Ir1yhT08nfoTWCjz7zXYMRPLxjPv3VxkXplw3HVD8+eLYPHOUB6rwTmwK9oAB6n1zmW9Op7bJ63HjxpWI31WrVsn4+Pj/k8H/b/35559lQUGBPHnypAu/t912mxSCSoNhmF53nV5yawZBhCCdE/oosgPvu4/KD7FNdraiNZ45f+utpPvGxCjnE/h0gwZEO02bknwZNkz1g+RyCPxg8WKV/QynK+TelVfS8bt0EXLbNuUEN51N0GuffZYyusNh3aGGIJffT6WVaJAPAx7PqWdPclibGW0xMZQVhoAXl23BIMl2GMJcnmJt2pScAmaZ0eOPC3ngADkDOO8Swt74HZjEpFYhvMvH+Zqfrxp/8214xi6ffmvjZViDQX+pZHC/fv3kQw89VNZQKrPl119/1XC6adMmuXHjRo8Ej6Bs2pSc0bGxhKHBg9U7AMYch3Ddo4f+nZmxA/ll2nOQkVFRNDhkyhQdR0KQ7YxWItOnC7lpk9oGOI6MJPkfEUF/t20jDPr9un7q9xPtN2pkp80OHQiPkHnlywu5dSvZs7gWnBv32K6dsilMJ3JcHDnIGzdW5+PJG0KQvZyfr+v7QtA+TzyhD5/jx65eXSXMmM7xtm0Vj+X8VGFGfS5fnrK6+fuyDYVo21b1JoZTEsey7WNzqHvxhOHDh5eI3w0bNshwOHzJJnpcMAeXCeyNGzfKTZs2FevgCoeDMhgkRwqmMLVtS83iIERRq960KWVXxMWRUKlVS710KHBVq5LCjv4bnMDg3eUvHqUQnFiQmvnQQzQNEVknEMKOQ0ZtTAwR4v79qpcAr58PBBSAn3qKIqsgWN40sFMnlWK+YwcxFyHIc87BedNNunJtErvPRwoOvMRYQyGlrDZrRtF53usrMpLumRu75uTGrl0pom1TnBBRN8GUkqIytnD+cFiliprRfROcZgTA5hk3+6XYhLzjCDlv3rwSgT1jxgyZk5Pzf8r1/1tPnjwpCwoK5M8//+zC7e233259N4MH6/3aTGXpoYfUdBa3AqVw0aWLUl65MMrMpG2GDCFFOyqKhDmnR0wWycigjEeUY5hleunpJLhMejG3i42lbffvVxlc6DUUH68ccM89p0qNuPEYDJICPWxY8XQqBPGTu+5Szjo820CAlPzy5RWPNLHTtKmKXsMggDAvX14/r1kqjWPExytcemVV8pU34zb7fOH8psPLpkzjHnkpHD9OVlbFUinXrVq1ki+//HJZQ6nMFlMGb968WX722WdW2VulSo4WuKhbl8qSIiPpc7NmyjBFZl+DBpT5lJhIRl/duor3I2iRnS3kkiWqyLhLSwABAABJREFUf4iZzQTldelSamwrhLtpKqLKQpBjGvQMg1oIymCIiyNn9L59KkjUpo3aJj1d4Q50BkcRDwxxWbRpE2WOCkHyGxiCYwylSNiXO359PnKc8d6gwBJ/Djk5eolVRATJYMhdnrUOHmT2I+LKL+4BDfG5sQz82RzJZmaHz6eetReW4aC08TEzU4f///7775eI3/nz58ty5cr9nwz+f+upU6dkQUGBPHbsmAu/U6ZMccnQ225TWVumMYZt7ruPgk7m++HHmjKFAq9C6MOHgCl8zslReOPnSEkhuQzZ3a2bO6gZE6OyDp58khzWgQCdj7cTaNGC+ENCAslgZGqiOb4QdK6rryb8DBumjGX0HXIcuu8bb/SmXVx/bq6Qd9+tnLWmzBKCzsOnlPv9pJsgc1EIXZ+2nS8pSecdXJf1cljZ8MYdzTYZDJ2JY75dO/3ZcRns5aDOzMwolQzu3LmzfPbZZ8saSmW2mDJ469atct26dR4ligENpzVrCvnWW3rJMX+feNdJSWQjI5kDvzkO2cA7dyq5FxOjZDGnVRyzVy8lzyAnfD5dBuflKTrhWKheneSzaf+1bq3OB7k3daqa2GwmI/h8pNO2akX/f/IJJZtw+oSjPDGR7G3wE9OphPvgOrgQur1Yty75CJCBjVLQESNU1mfDhu6gbrt2erky10dMzPDAG8/I4rjjCSNc38b7t/EBMyutRg13oo8Xj5s2bVqJ+F2+fLlMSkq6ZGXwRXNwbdmyRW7YsMEK7B9//FE2aNCg6MFzZa5qVRJ4XpEFIWibadPU1AczcsrLKSZN0ptvcuURRIXSvaZNSZDiXOXK0fGHDiWmAc8qJ6SEBJUR5jhK8Hbvrmp2g0FSBGx19fwec3JIOeZA5YwJzKdjR9245NOZ+HrddZQNxZ+P2fi2eXO3IwI1y0Lo2SxmSRWm25gOKy+ANWtGxgPvJQBjm99rnz76cYrLkOHMjNeJY/3HP/5RKsE8ffp0WadOnQsFjz/8YirXp0+f9lSun332WSkE9cjhvdQ4Nnr0IMcoZ/jmNnBi3XILZWXwd25u37w5CVp8jzTp5s2FXLWKhHZODpUxcKFvZkYIQY44YBnOsYEDlVBNStL5hBCkKHPnXbNmutLeqJGQ997rLqeqVUvnS36/UjDvv1/1XDDLNqOjSSFv2dLNB3F//fqRoObKcUoKYTcYpGO3aaOXZE+Z4l1OzJ83vjNLK/k2Np5j49k8ylUSjzDX+Ph4uX379lJhuGHDhvIf//hHWUOpzBZTBm/btk1++umnVhl87Ngxqwx2HOL5jz9u7wuJz5UqURS2Wzdd0eMKG8/cCARoW26EeY0pN48DWYfBFRkZepQ6Lk718ti4UciPPnLLOy5vBgwgYxn9QzgesrPVpKbnnyfDOyKC8G9OdjLpGc+K864ePYgn8dLFvn0pgyM+nnQZ3nDexFSDBvpwjuxsyvzCuXnDYNwnd47jL56XrWSMvyfbu/Ay0vkKuQtjgfOk119/vVT4/ec//ymrVq16ySrX/+1iyuAzZ87IGTNmyKNHj7q+f/3116UQFBDBsBLzvXfurMtVmwzu0oX0W5PH24zQZs30Sbs+n3ffH34e9PRzHBUQqlFDbylRu7Yqd9y/n+jedLZkZKj+l0uWUL9dXDOqLUIhsgsaNXKX/3FaRpnS88+TLcGzV22ryQfhZACegVHwkvr16fzhMOnTPCOyc2fFW20VFULoegv6JfLrqFRJD4TZjmHj26YNUNK7I2xHyS1btpQKwy1atJDTpk0rayiV2WLK4O3bt8u1a9daZXBmZqZs1IjoCBnP/PnHxRHdNGlC8pg7QfBOY2Ios5IHibjMjIwkmwvlgagK4Nua523USJ8WjD57QlBQOBhUw8lgf3P9dc0a6qUrhNIfMfzEi9Y4jVasqA+ggK6Zmal0btBxu3Z62xwzW1kI0nmvvtq7Ly2+4zI4I0M/ltlqhe+LUmZkwZv4cRz3pOO4OFV+CjwXJ2N9PsrURQmrEPrz5DLdJgu6dOlSKvzOmTNHVqxY8ZKVwRfNwfX55597KtcZGRlFzojBg4sfJQzhxb8znTTYJjtblROYROb302/FgWziRMq0Aqg5MXMBWL48eXJtwh33wntm5eWpXicAa3KykOvW6Q6ZrCz3edFULzWVPM+mIhoIkJLMszrgoUdaquNQtAwTXMwIqxCUnWJmfyGq8MwzdA1mfxyeiYZnzXu68NXs32C+H5tgNf/nDJdfoxdjePXVV0sF6hMnTsiXXnqpzMaD/xGWs2fPunA6c+ZMeeTIEU/lumlTlVb8zjsqasSdsiVNVRKCHJqPPEKfb79dTXNBGSOcQu++qxTGDh10WnYcEozvvkuOs+hoMqiReckN4sceE3L9evrMS5I6daK/SGVOSyNj2KYwJiTokTAedea8oGpVFQVv2lSV+MApACOhXTuFL9O5LwRNlLn2WrezlwtUpGXzgEFamr3cCJ8zM+mY/Po5f4Vhwp1kuHbehN5r5Ua0aVh7rX4/GQEwFhITE0uF4by8PDlz5syyhlKZLTbles2aNVYZXLFixaJ+HZhm9PTTet8bU540bUp96qKj3cZyZCTJT44z07B66CE1QILjlm/XooX6PHgwyVnTSVWvHvXErF2bFHlMO8LxeF+vHj30UmUevEKGVjhMvMIsFwqHic+EwyQbDxxQ14MS6eho5Sxft44MZhwf+ETvUH6faWl0HN4U95pr9ExpIeh9IIDG8WEq26GQ4pfgN5w3mGPY+TvGZ74N1234+Wx8xyaDVflIXKll8Jtvvinr169f1jAqs8Umg2fPni0PHz5sdXwJQfSDfpfPP68y7Dg/x7uqUcMuA/CukDkwerQKcMIhGghQsOXtt4kmu3alTKf0dDo+DNz0dMVDIiNpKAI3vnGuv/yFMq1Mvg+ZjOCpV+lNMKhagdjkB6fxevUIm3l5CnvYLiZGYX/YMIWh6tX1lilCUND6+uvVNeEZT51KTjmelcVlMHoZ4vp696bSaWS5mXgyeScqIXAML/2Y/4/9mzRxZ3bwDFazB6L5LrBvbGxsqTBcr149+d5775U1lMps+de//qXhdNeuXXLVqlVWGZyUlFTUxxnVBAh28Cz7xEQKdiYnEy3/4x96FQ70YDPQwd8j1j//mZIehCCdGw5w3tj86qup15bPR2V1V13lbkNTvToNORk/ns7BM6kQJMP/3buTzm5iGSX60dF630luB3Os9elDMrhRI9WmA/fHM7ZMfR08EE76Fi287eDRo+l9mPI2K4uGxcXGurPGTH5j8i3Os2z4zskhTJbkeObVUqYfoDjnGLZ78cUXS8Tv+++/L6tXr17WMPqPlwvm4DKBvWPHDqtyfeDAAZmYmCgTEvQmkDDu2renevqMDDVtxO8nZTQz0z5JAmtEBGUt5eXRdnPnKuCaWRTY529/I6XVFr0xlUJOUDbD/aGH9IlmuNYxY6heGdcCRmQ2w124kNIzhdAnseB8lSurqBCEddeuSrngzjIIMnOqRCBAWR/dunkbmphIw5uF2oRpcSONzfeUkKDXSGN/GxBNxuw4ylFhApp/Z2ZvjRo1qtTK9ZNPPik7dux4oeDxh19syvWcOXPk999/r333888/y+XLl8t69erJqKhw0bPOzlbK9QcfEK6EUBkGQpCBjOylV18V8oEHFF3iOI0bE45Mgc1puHp1imjxVG6TZsJh2uaee/Tf8NdMq87NJcFl0h16wEVEqOgzd5SDR2DCY24u4Tk5mTJB+ACM5GSVaVKvHl1DlSo6LoJB4hOYeiWEuy9Q1aqk8ODYuBfgKRymrLjevdVxk5LoGtD82yZMwXMcRzmX8B68eABWKBgVKqjS78hI/f5N48orO4jfqxBCli9fvkT8Hj9+XFaoUEEuXbq0rKFUZospg3fv3i0//vhjF64PHjwoU1NTZWysokeUt+XleStLkZEkO2rUoP/bt1elxdwJFRGh3rct6onvBgwgpdVmdDsOGdkffEDH69mTDElOF45DmH3rLbouIUhh5wooMhk5XVWurA8/8fn0pu9osF21qp7xVKmSauqNYS5cMW/Vihz0nKZDId0BV1yWiMmXatdWpVZQ0JHBwiPCJTmMUVLtOEpme+1TmuyOks4HOUyZqcmllsF///vfZcuWLcsaRmW22GTwvHnz5Lfffqt9d/LkSbl69WrZoEEDGRUVUfTcK1RQjqnp0ynIiu9Bjz6f6kH1/PPUPgPYxnHq1ycHlOmU5Q6f3Fzq29WsmZ0ewBMeeURVJTz5pD51jdN6mzbk4OVynmeIgXaRRd28uV5iBHw6Dt1fly6qtxz2xbHQi7NOHZKHCJLjOMEg3R/09bw85eTn2aqmvDJxfNNNyvkohLpe2/OCQ6NzZyELCghDkKmtW+sBIo5DbIOBErhXk5dynmQ68vlvXphOS0srlQzOzc2Vs2fPLmsoldliyuC9e/fK5cuXu3D91Vdfydtvv11WqFBB47k330xytW5dIT/7jHQ/0KcQKtiSlkY0unIlBWZDIaUzYvuKFYluXn5ZBTL5Ox81Ssi//pU+8/YQXGa3by/ke+8Rdrp0oQAVd74hA8zM2jV5AbfN0LMR9BYZqexZIYR8/30hd+2iz2ZPuqwsqgiIjaWqKmRrQ48RguxXyHA45xs1crcfuewywifHPj9Xw4ZU9s37GvK/sLvNdjl85VlgeIdmX+lgkAJxphPRbCVi4jM21i6vbbgXQsjXXnutRAy//vrrslGjRmUNo/94uWgOrj179siVK1cW/X/q1Cm5adMmOWvWLJmRkSGrVqWmsz16EGh5imOtWkTIXoIkHCbg5+ZSg0ne6JYr2r16KWNr40bV7JpPaurWjaJMNoIwM6UCAVJiX3hBGai5uWq7hx+mMiUhaAJEnTp2xbZKFRJ+fJwvjmE2CAyFKFI1aJB+LCgkM2eSV5unkfJ9YbgLQV50Djg8qzvvVKVSXo2nzefhZazaIsN5eSod04zcBwLq+mye8OJKH0tStEtjGGP985//LPv27Xuh4PGHX2zK9fz58+WhQ4eK/j98+LBcsGCBXLVqlWzUqFHRu+XlskKQssUzCvnkIawZGVQWKARhGEMFeOTJ76fobyhEkdMnnlAlMCZN1Kmj8xCbQT1kiF7+ytf69akpNXBevz5NPuVlVDjOo48K+emn9BmCDeeD4M7IIOUDPGfcOL3nH6KoHTpQrz84C664QpX0wbE1YoRKm27SRMdJdDRluiBLxctJjExOKBI27JgNLG2RJ+D4ssvcwQJsX9yUTC/ewtfOndV7ouhZVqmU68TERPnpp5+WNZTKbDFl8L59+zTl+vTp03LLli2ysLBQVq5cWWZnU9PZNm10vov3U7EiBVzS0txZu0IQbQ8eTBj94gv6HAjow1J8PgrCmHTHMx2gXF97rVvO4ZzVq5OBjD4dNhoXgsp+kQ16552qLx7kHrKm5s8nGZ6cTBmjvCQI9D55sur1l5OjZ1KhTIkPw4EcM4M4OTmKj7RpYzeWb76Z+A0vZUxNpbLpBg3Uc+dZoyTj3FgOBt1lyKNGqesx8cb1BvCWnBzVh8UMZMH5CEdJIKAHK813Eh8fLw8fPlwihh9//HHZpUuXsoZRmS02Gbxw4UL51VdfFf3/ww8/yIULF8qVK1fKFi1aFMlgU/eLitJ7LYFu8vLU+0lLI5koBAWDFi5U77M43YpnEoBmYmKoCsBm0GG99lrlUPNy8nBZxKe5mbLjz39WfcJsMhgB0ZgY4gG8ZxfOHQ67+/I6DpVs8ink8fFUyYCsbt6fEH2BuB7PeQI/NmTwE08Qz0EwgN9fOExObNPYNZ+nLauyNLK1uJUfLz6eAhA4V0ZGyT24jh8/LjMzM+WKFSvKGkpltpgy+MCBA3LJkiWaDN62bZssLCyUb775pgyHg0V2jsmbgevKlUlOoz80t3FbtCCd0Myo5n1pu3RRjuE5c1Tmo61kWQhq2H7NNTrN+f3k8H38cXKo2QKSwC2CMEJQogSGKPGEkebN6Z7r1tVbIXjZwT4fObCrVNHxi2eCtX59d0A2GCR5xoNCZl/PWrUoEYU31PfiU16Y8cKh+awQOOBDI2zH5QFnTh+wo4srubStpemD+dxzz8m2bduWNYz+4+WiObj2798vly1bVtTvY/ny5XLRokXy6NGjMi4urghgCQm6QI2NVQ3YfD69Fhjp/jzFuHNnVYObkECeX9Qbc4FZty5FgfE/PL6cWfh8pEhffrm6HrM5ZkoKgbZ3b93DagrzoUOF/PBDPV3R5vyJjlbNKUeOJOD5fMrjjZ4Cq1cT40hNpewMpHALoYMea6VKZHAAqD4fCWKekowpiDBUk5JoHzBHM/UUwpj35TFXs5H+vxMl4tt4Hf/fEer16tUrtYPrjjvukEOHDr1Q8PjDLzbletGiRUXK9Z49e2RhYaH8/PPP5f79+zVmbWbOmWt0tDLaEGXCSGMwb0RVY2PJMA0GiYYRpYiJoWiLKfj4CmM5I4PocOFCVT5kDk5o21Y1jDSj1IEAGQSPPUbKQ3Q0RcS9HNbgNZ07k3LA+RmezYsvqrLIK64gQx7njYggnIXD1L9g+XKdf/EypEqVVB1+r1565Aq4XLuWsl04nytOkGIam+msuvFGFXW2lVBwg94WHDCb/5vKOldqbE5LfB44cGCplOtQKCS/+OKLsoZSmS2mDP7yyy/l4sWL5ZkzZ+Tx48flihUr5MKFC+WRI0dk06ZNi+gdPDscJpoym9f6/YRD0F1kpDsDslIlMgLxjpHBy5Vdv1+foganNsozmjYlJw+9c4VNW4Q1JoacO4mJlInCy32wDhpE0WAzY5FvFxsr5EsvqQESDz9Mhh2PmKM86+OPyekTH0+RXdwbjHo4sPPzCffly1P2CrIsfD7SUfAM6talbfGMvWSmTccwsWrrKeI1aa0kpR3HtjXw5byGOzNsx+RlIxs2bCgRw3/605/kgAEDyhpGZbacO3fOJYOXLl0qDxw4UOSwLiwslFu3bpU//vhj0bMNhVQgEAZf5cr6+8fn++6jagLOg4F9XvafmKg7asDDO3YkOu7ZkzCMLF2eqcsdTkuWkP5qc6CjVOi224gXJCcTtiIjCT/z5hEvQnblO+8QjzCPw6+vbVtyHvGMinDYLV8GDiRdNyqK9oOc9vupp+fMmfR///76BFSUAuOYvXqpEkzwq0aNaD8vG6JqVdLhzZJDZKranNA2I9lx9GFUaAPCh+dMnaqCAggO8ol3xfEBTj89e/YslQyOi4uTGzZsKGsoldny22+/afj9+uuv5cKFC+WZM2fkiRMn5McffywXLFggf/jhB1m7du2i94AM/w8/JN0zMlJ3vsbFqWoIv59wjqw+YAt0EwxS0BQ6NefDNWqo4POsWVRmLIQ+1bxKFQq4mMkOpvwJBMgxhCxOmx3Wvz+1DTGzjbA/7NFwWFWADBumKqH4gLKmTak1QYsW9Hzat1dZmsDSu+8qPTsignwFw4YpnwF0Ujhva9Wi43H9NC6OArjAls9nn0gbFaW3HOHJGNCpeEkhxzXvG10cBr3WkhJQzNXvd+RXX31VIoYfeeQR2b1797KG0X+8XDQH18GDB+XixYvloUOH5Jw5c+Snn34qf/nlF3nmzBnZpEkTGR9PnuVwmF4WlKW0NAL5kCGqPheEEgySsNi+XZU2mAZqTIxefoCVC5lAgIiXN28Vgv4HkfJmuCg14M4iEHV6uvp+zhzVk8hWihAIkGPsf/7H3mD39tuF/Oc/9XNwZw+cVO+8QwJSCAJidrbO4MDI1q6lmmIhKGMMJVZ8ohOiUgMHqnfgOCraZAMLHGPILLGBD8BG6ZYQetkimDJnvqAFMwLO9/HK4LIp+SkpKaV2cE2cOFFed911Fwoef/jFS7neu3evXL9+vZw9e7b8+uuv5ZkzZ4qU66FDaTUFZM2a6vOAAZS1wDEgBPXr2bFD0QsU7WCQhG50NNHunj1qChkvo4BwQS8c9BLiUd9mzVQp4Zo1SpiDF8CJXrUq9R3gUVFTmE+YQFmZQlAUq1s3naYDATJYp00jp1q5chQ5Tk7WHVRC0HFWr1YlEObEF244XnEF4aJFCzKWeW+ChAQdU6jjj43VM12QwQLFyIZZG9br1SMj3iZMi3NUx8XZJ7vwd1faSHNeXp48dOhQifg9cuSIFELIr776qqyhVGaLqVx/8803csGCBfLbb7+Vc+fOlWvXrpUnT54s+n3SpElWGQVlbMIEUnZNZwqcmx99RDIzENCzm7iyt349ZW4IQYo16DcxUR9CYfJ2KMApKaosY84c1VeSy+LLL1cT2WbOVMctqRyQ8yOskyerYROc1rkMjokhhzcmHptOb54FtXq1yuKcMEH194O8Q+kISpqRaeM4Qt5wgx48iItTPcwwIZE7/sy+WFzhBo/hegd34nlh1bb27au3fmjVSp/cimAZ3+fgwYMlYvi2226TI0aMKGsYldlik8ErVqyQu3fvlp999pmcPXu2PHjwYFFFhOMQ7fOGzFhHjKBJpUKQrgzHlBDuhseOQ++Pl+hHROgyHVjhQYkGDYiuatYkOT1sGNEjD6I2aaKyfRs0UHIJBqPPRzzk1lt1Zw1fEbgZP56yLISgLM3evekzHHGBAF3LK69QMCo1lZzX4Ae8F9jgwZRh3aaNLvfxFzJ46lQKmsfEkIE9bJiOl/h4df4uXfShMLbsZlN++nykL5iZrRzPXmWRXlOHTUeC+R75vUZE0H0V1ys1Nze3VMbxsWPHZCAQkLt27SprKJXZYsrgb7/9Vs6bN09+//33ct68eXLNmjVFk8k7d+4sIyLUsCFTxrz7rprm17ChniWIPneBAJXlm4HfqCgV3Fy1inRRYB/nSUhQpXwmjYKPBwLEy3v3tjtj0Jva76fraNJE2cs2+SoEBZZvvtlbB5wwgaophPDupx0RQVOYP/hAxxp3pMfFkZNw5Uo1sZkndeD6K1TQ+R4qvOBg488dzi4u3/i7M+/X7AfmOGTn79njxjg+84xpG1+wYZRvb7OR//KXv5TKDr733nvloEGDyhpG//FywRxcNs/1rFmzZGFhody9e7c8ffp00W/169eXoRBlO/TrpzupuFDgyjafgsDT+OHYyM6mz2DWPp+ezv/hh0o57NNHCVNuTP7lL1SSEBOjGAiuLSqKlFMc21aG07y5UuZtRIgyo8mTySCoWJGUECgfnMEJQQZBRARd7zXX6AoG1rvuojIS08GFFVGYN9+ke7OBBcYyT4G03Z+ZTm0KV8ehZ2fL1jABaxO4fK1du/geXyWtjiNk69atS+3guvrqq+XkyZMvFDz+8ItNuV62bJmcN2+eXLp0qfzpp5+03xyHnC5oquylzPXrRz0lhCBn2PDhbsNKCOpD5feT8ODZPYmJRE+dOlHkuXFjwgGnRTi/k5OJxm3jwMuVUxMfp08nw9NxVDQW92AKKDOLSghybj3+uFu48H1jYojfgOfYHNZYV6ygEsyICOJz3BmP7JWOHclhnZ+vstyQucqjSx06FN/o2yxbNN8Z/pYrpzcy5dvFxqpnzhUD/N6+Pb2HrCxvJwN3gpqOanOfxo0bl4jfAwcOSCGE/Omnn8oaSmW22JTrwsJCWVhYKHfu3KnJ4JtvvrlIGcrMpHeKLArzvQSDpATGxFA5v6nQBYPU+BYZ0jfeqMtnHHP6dCELC9XxTaxx+RUMkuGHRvBoDxAXR8br7t1KOedKcJMmatjF669TFiYMBq4gJyWRwcx1BK6HYFtEi7t1IyPBnLaG7a66ir4fNoyMdZ7FCXn7yit03Y5DAaVhw3S+EB/vdjaZgRtTdptlkY6jJkFzLFWs6C1L+ffly6u+anAImNl6MH6wr5nNlZFBTb35+Pljx46ViOEbbrhBjhs3rqxhVGaLl4Nr3rx5csmSJfLHH3/UfvP7Sd99/nl6xldfTbRnGo49eyrctWlDwU+Ux3HjdO1aou82bciJiexOs4ddWppbN0tL06ccY+XN4uvWVX3Bpk2j84FGTef2kCFkCHpN8e3UiUqW8T1+M7Fyzz0qK5RnftmOienJY8YQ7XM9JRikXlirVpF8i4gg5xcvkQqFdOehGbjiWOvYUQ80g1+gaT/fh08a59+3a0fHsDm5IY95n1K+HbJ/eO8j00iOiVH8qHbt2iXi9/vvv5dCCHno0KGyhlKZLaYM/v777+XMmTNlYWGh3L59uyaDO3ToIH0+cvY0bEjvbvx4fSAX3umTT5J9GRFB5bncwWL2ymvQwC2joCNOm0aZkTbZwnGAJIXcXOUg5ZlSJk3DKQTaadxYTSo1ZUerVtSDFzpgfDw5oZBBWprgp00GDx9O5ZCmPimEuye03088bvhwkpfBIOlAaWk0MAK9ezG4ycQyx6jZL9t0FNqun2MfeDXvqbge1Tgu/BilsZOPHj1aIoZvvvlmOXr06LKG0X+8XBQHFxpRFxQUuJpUnzlzRk6bNk3GxcVqyp3fT9kKZrQBxPS3vxHxFkc4jkOToO6/XycibAuD7uGHVXTLTHfm0acaNYjBV6umT18MhSiyDSECgxINAflx27RRmVdgGlwYDxqk+mPw64BSEQgQ83jgATpnhQo01ZD3UjDX667TS5Ownakch0JkLNxxhyq3KFdOF6Y8qgbFID6ejlmzphKAcXEUKYMDkDsgkA3m5eTiioQXUEvK+rAdv127dqV2cA0ZMkTec889Fwoef/jFVK4PHjwoZ8yYIZcvXy5PnTrlwjDPHuAZC9yBZTL91q1JsDkOCZd27fRtUWLw7ru6AOfKKC8lgAAaOVIJ6lBIp+Hu3d2NKsNh5VS+4w5yxlSuTMKbpxSHw4Rfs8TAVvozcKBOv8WV2WI/XE9KCmVEBIPEmx59lL7/y1+oHNpU/qOjyaEARYXjOj7ezkNjYrwHdJhRLfAdjqeUlNIJUWxjjp82FSnT8WbDPv7v0aNHifj9/PPPpRBC/utf/yprKJXZwmXwyZMn5cqVK2VBQYGrSfWZM2dk9+7di7CA9zFiBMm8qCghZ8xwZ1QEAuRYbdqUaHXcOPvUxccfJzrm7xDvGxnZQlD5ApzO2IYHsS6/nBxC0dFEuzz7KCvLno3I6So9XWUZI4gDWcz5CHfYzZmjyhV5n7DsbHJW16hB/OBvf9MnRWG7du0owxqZ3CYfRGb44MGUVVqhAmH/7ruVsYyR5GgebAaWcC/F9UpClN/cD0YNFGjz/VSrpvNA87h9+pATBe+IG8nF8YfSyOBRo0bJW265paxhVKaLGSSeMWOGXLp0aVH1Q3EyuFo16gFrZj1wHbd5c8pqQmmeKauCQXLqfvSR0jFNZxCcxYmJqpSxRg2l23J5uWSJCvJwOg6FCCtcLoAXwWlev767ysKUJ3Bu5eQQXgcMoKETyIzkNgZ4DvoLmXhB8+cHH1SZIVwG8ucQDpPD/p136LsbbiDdB5nk/L64LsNtEV4CjOnjfOKrKTe95CN/fiUFi8z9bfdnW0ujS+/bt68I6/9bFy6Df/nlF7l69WpZUFCg9bLFOmPGDBkfH6fpyMOGqfI5U3aAfm6/nZxEjkMOY/Tag8Po5pvJRsQ+PXvqw1LMiZ5du+pyID6eZFswSHr6rl0q+xqOUWRRI+tz1y5K3BBCOev4uQYPFvKNN3Sa5ufs25dWIUj3uPlmhQtOrxkZVNLMe2baMNGgAfEdc3+eXTlgALUduOIK3ckeCild2YYLXu5o+x19uU3HGPjfNdcQzjn/5sfgPBdrnTq6bsN5tqmre7UWKE2QaezYsfKGG24oaxj9x8sFd3ChEfXy5cvlzJkzXaBGo8y8vDzt5YBoIJS6dlVEbFNifT5SwH0+AkT9+vY+FPh81VV6RgEnlm7d1BQmU3ii/8aGDaTkZmaSU4orFlCElyxR5Q24LwAnLo6A07s3lVhmZur78iiXEBSVW7hQRYxxL+EwRZjATGwrFNu0NNUo9q9/VY0G+ZSj3FyakvHsswqEcGIB7KYSjOsxo82tWpEX3tZLhG9v+848h8kUzNXczjyXctBVLJVy3bt3b/nXv/71QsHjkljMRtTLli2Tn3/+uRXDoZAjJ04kR0sgQEotlE2/X9H3LbdQlqGpjNesSQ6cYJBKEZ96yq6QlS9Pxp9ZHow1JYUUzUmT9MwCTj9mBgKuAdtWrapnnMCh07y5wi9XUhcsIJ6D83NekZBAa1YWZTEgq4UPUhg7lgxFn4+Mif793REcIUgpeO89+q1/f+JhfDuT3918Mx1PCFU2YYsC2aLXQihlpGpVe+TLpizbnM5Nm5Izs7hoHMe7LaWa47k0mZiffvqpjIyMlGfPni1rGJXZ8vvvv8szZ87II0eOyIULF8ply5bJgoICLWqMdfjw4VIIal7Lm4njmXfuTAZuKESZFlDaeIbTVVcpmfLYY6oM1nzXgwfrpRD8XeN4HTuSXDMNUpQgN2lCeBowQKdfOMXi4oTcu1f1F+FlS9gOfUA6d6Zt4Yzn8rVePSqfFoKi5ugzZDoBrr5aTYcrKLBnsgpBfANNfR98kHDBj+U4xCveeYccD1wGc93AlJ24L55xh+1tgzhq1VLHNJtg28aqC6EMZn7u6GjFY0x+gneWkaFK1/F9aWTwoEGD5J/+9KeyhlGZLmYj6uXLl8utW7daZXBEhE9eey31mQONc77ZvDnRycSJ5PiCc5O/a2QnDRyoelKatJORQTIYgRATx/HxVCEAx6ep/8HIfPxxIV97zc33sX2HDipDrFs3vU1GZCTJUt5eAOfIyVEB0JgY0s9N5xmXZcB7rVqkR3Md1FZt0KMHOfZtmV+4h3HjKCu8bl17JocQpMv4fHROXFtxpUd+v1v/tU17KynjxSu73uSj/HtTH2rfvn2J+N2yZYt0HEf+/vvvZQ2jMlsgg48ePSoXLVokly5dKgsKCqxB4hMnTsj69etr75WXnfp8KjN21iySTaa+NHIkySITU/w9X3edamkzYoQ+ZI3v06YN6aa8LzV4BGRBejqdzxx2Eg6r9iD//CfZy0KoHlmYJuzzUXYmjglblAdj6tRR1wvb2e/X+3iZFUvvvksZ6LzKiT+nhARK4rBlcWK71FTKUM/P1/Vf7vgSQm9QD98Ff948ezoy0i274+LUtFsugyMi3BNQOV+yyVxztenS+FwaGTxixAh52223lTWM/uPlgjm4fv/996JG1Nu2bZM//vijp3I9dOjQIgJB9HTbNqWcwrvp87n7BWDlil2PHiTUbAwd68CBlNppEzxcyIKQe/YkQcSFnd9P2SGzZqmpZ5MnKyPXcfQGj1270j75+QRuHCs3lxTf1FRStDFNDg1nAbZhw1STZzwnZIGZRPzQQ/r0JDOac/31qmeImRHCv4Ow86rvt4FHCHdDUv48+dh4G0iDQSG3bCHQFxexql3b/u5atCAjjO8Hh0Ig4Mhly5bJLVu2yG+++UYeP37cCuyOHTvK55577kLB45JYTpw4IVeuXFnUiHr9+vVyy5YtVuUaDty6dZXBt22bag7PhVL//vReJ0+mKA43KtHQffx4opOhQynygmbv/J0mJqoBCzasmzT2yCOq0SbPzMTKyxA4DiIi6B42bVLZoPw8ERHquJzes7NVVofjEJ55JkdOji7A4Di79lp6RibWcP+BAEXIH32UjGqvrJXJk+kdcKM0I0NPoTZxiufqNTDD5nCyHUMIeiZcMfbKBCkuUgz+xp9Ffn6+XLt2rdy9e7dnmvXSpUtlSkqKPHfuXFnDqMyW33//vagR9ZYtW+Tx48dlQUGBNftj/PjxRe8SGciffaacNlzG1K6tei5t2EC0aG7TpQs5b4QgOYOpZaayDGfaAw8oJdaki3r1KEprK58A34mOplJIXmKTmKjwt2qVHmxq0kT1oAQWudOudWt35DQ5mZ4HJoeGw3pmNbZr3ZqcV34/PRO0XTDLuMaMIUUcWL3mGhUV5/cPvoD/ofzj/7p1KbOTO9dtz4m/n/h4d8aXadju2KGc+uCPfPtGjVRDYfOd8WMFArqDKykpSS5dulRu3rxZfv31154yuFevXvLRRx8taxiV6fLzzz8XNaI+fPiw3Lhxo9y0aZNVBofDASkEYQ2ZFfHx+kRL9LHt29deXgQHcVoaOWkiI5WubJPB8fGEs6pVqdzJLKcCLTRuTJ+vvFK1HeC0bF6DmSmWnKzTE/iJ36+ynebNo7933009bdDwnmdecgfRypVCLlpEnxGAw/ETE8lhb2at2qaKh0Kk3/ztb4QJfu18O+DPDLCZmdJC0HPk8p4/c1uAzmwf4Djuyanm72aPPhuO+T2ANzqOkJMmTZJr166Vu3btkkeOHLHid+3atTImJuZ/fZDpwIEDctasWXLTpk3yxIkTsqCgoKjvFl9vu+22InoAza5Zo/pJ8qnb1auTAwql+k2a6A5rvKf27dVv5vsUgvRRZFROnaqGEZl0ULMm0VPjxvpEdCH0/tTmiu+5HdyuHemG4FEcR8gE271b9apMTNSDVyiJ7tuXkkOGDNFtVCFI137gAdp+yhQh586l54DBOPwZXXkl/Z0wQQ+qYRtO/3gvXlMVW7fWg+jgUyjz5HYHdGwvn4b5PjnGi3Nq2TBs7hMfHyeXLFkiN2/eLL/66itPGXzZZZfJBx54oKxh9B8vF8zBtXv3bq0R9c8//ywLCgq0prZmc9sRI/RSARhHK1cqZxRvGs0N2y++UNMSudD0+ylFkk9v4kIGRI5ygAceoOylYFARXjBI+z/3HF1TkyYEKq7EweH197+r6K2pkENBuOIKMjzj40lpzMpShBcTo5TyxYuV5xv743qjo2nbihWpRhjMAAoG1kqVCHAdOgi5caOqwTcNjWbNKLPG1rfLBFMgoI80Rfo3P15ionsqjClMzb5eNq83f7ZeArik/2GAE4MKye3bt8tVq1bJwsJCOXv2bLlmzRqXoM7Pz5evv/76hYLHH375/fff5fz587VG1Js2bZIbN260KtdRUQFZsaKetZGeTtgZNIiMpUCA3jmyMODsBV3HxekTl1B+N3Ag7dOnD/ECKK3cEITDNz2d8AsM8XHgN9ygyv1sRmCzZpSi7EVnUOgheJAKXq+eniGCvz16CLlvHxm4ZtQFjbjRNws0jwg6rpErs++/T1Fv83sorz4fKTQ8G81LCPIUdZvC7feTwv7qqxCI9NfGH7zOwwU9VxpMw8rkLdw4sDnUx44dKz/77DO5aNEiWVBQIJcsWSI3bdokv/rqq6K061mzZsns7Oz/1Q6uffv2yVmzZhU1ov7ll19kQUGBPHHihAu/p0+flvfff7/0+/1acMPW6BnTm4QgZw+wtmGDKvfhNFWrllKK58xR2cY8db5xY+U8njqVZKiZai8EZXFPnWo3zk15y/Hm9ytHXCBAmV9btujDF/i2qanu1P6MDD04ExVFPAP6BjJCULIFI3LuXFJ88/OF3LzZPpa9cWPiTTwbqjhsmd+Zjn0u+7wyLb0cYfiMwR226DauwZaFbR4zHA7LcNgnhRCyfPny8tChQ3LHjh1y1apVctasWUUyeOfOnfKHH34oksHt2rWTL7zwQlnDqMyWs2fPygULFsjVq1cXGcRbtmyR69evt8rgzZs3ywYNGmiyJhjUezL6/fROuZM0IoLoHZmPKLnj5Uf9+pGM7dqVnMVxcTp/R7/IvDySFc8/r7KcOU1cdx2VVOFz06ZKrmKbHj1UyVXDhpSNXa6c6v0XEUH6/h13KIcP/uK+8/JUr8q9e6m8GQYyzoOJakJQQHjbNuIrqalKN/X7dXti+nRylKel6aX8wSAFjdGL02vl9xkKqRYKnJ/Bgc4NajxDW0aHDfdeeCzJKObbeQW4XnrpJfnll1/KjRs3FsngxYsXy02bNsmDBw8WyeBFixbJ9PT0/9UyGM6tL7/8skjOFhQUuHrYnjlzRj700ENSCHK4ADu8WmDWLMoi5rwYwZrp0wkXbdsqmYZhBY6jl+a9+y7RqsnvGzQgO9txKPvy7393Bzpzc+ka0tPJJn7mGRXUxqTDmBg1UEkIytbmGV68Z27duoSv7GzK7AatRUaqINqHH1JmOeRkpUoKd/n5ui1av77uiPX7SW6PGUO8Btvh/Nw2rF+fKpvS04nvzJ2r+AM/p5fszMkh3ojG+tAFvDCGa+TDLrBWrarsC565iuPy4TM27L79NukmNmd4Wlqa/Prrr+WOHTvk6tWr5axZs+SsWbPk6tWr5Y4dOzQZ3K1bN/nkk0+WNYz+4+WCObh++eUXDcSnTp2SBQUF8vjx4y5gT5gwQQpBjdwQMW7XTo94mspm06Y6Q8cEIiGoNBB9rFq0UEoYF/QffKAax3ECq1SJBCqEO66BM4L0dBKu2dnknJo6lY5dXEnkpEkEep4h4vORcbx4MUV+oqJUPxPsD6U8O5vKoOLiiLFwRbhCBX0yHX6rUUMJ1HCYstDADHbupDRrCFTs6/fTvUyYQFECgMrsOwQmxP8H0+BlTDExysPPU79RmsEVZDDHoUPtoAfjKk4om9/16kX9I9Q1RxSB99ixY/LgwYNy48aNcvHixUWC+oknnpD5+fnyH//4x3nBwvLly2WvXr1kZmamFELIjz76SPv93LlzcurUqTIjI0NGRETIjh07/iEmzxw+fFjLuNy6daunch0REZD16lEJXeXKbocnHDddutAkNaTxcmERDuujkCGceRpy8+bKsPziCypd4Nj3+eid9+rlbQTyMiiUYXgpfuXLUzmHjf5xnPvvp2uBMOK/xcbSPZmDFgYMUNcMIev3kxNv7166fp9P752Xk0OO7FCIFJTFi0mJ4fjk94YyTX5dWLmjzsQO9qlY0d3/ASuabZr4A7+89VaV1YaSLn58/n9x/bhs+L7//vuLMPzDDz/InTt3ytWrV8vZs2cXGcxjx46VderUOW9YuBQxfPr0aa0RNZRrszn1mTNn5I4dO6Tf70ghKACDjAsodZzX/8//UG9Ls/whFCJ6NN8bGktD1sDZxScPQkY4DsnUCRMIMxMnUskfShg4jcTFER2mp5PzF9PRbD3nWrSwZ2fic0YG0XtEBDngkAnGBzTcdhsFk6KiSLai7FYIulYYIgsXKkc5P1cwSPwKmWNbtpBCbWIATojx41UPHp+PriUqiuQrn0r1+OPEF5FJwu87NpZ4JXd4CEF8mDekR/CLO8f5s0pLI0MFzywigrLUeDaOiWHOV9PT0+SaNWtcfT+OHTsmv/rqK7lp0ya5ZMkSWVBQIBctWiSfeuop2bp1a/naa6+dFyxciviV0i2Dv/jiC/nJJ59YZXCHDh2kEPROIiMJw1ddpcpdIiPp/bdrJ+Snn5Kc5o4sYDgYJCxt364c3Dwg2rQp0VXdurQNsjC5LOneXQVvPv1UGYqcVrp29R5Kg/+rVBHy5ZepfJhnN6L8HzJn9Gh3EJsHjeGUj4yk4DQMfjjRg0FyDITDdF0HDhDv8fnc9sG4cUrechlow42XDIMM5g4M05lvykkeeDCP++9OPjWvyTyml+H8/PPPu7I8jhw5Infu3CnXrFkjZ8+eLQsLC+X8+fPluHHjZLVq1c6bg+tSxDDKEzlOCwsL5ZEjR1z4feaZZ6QQJH8wMMF8HyjLu+wykpFC6EHhvDzlvPrnP6lliBB6oCo52d0TEvQFnbx8eZI/4TBVFMycScfnciohgbKjBg5UOLI5Ra+7TrXwGDOGAs2mzpeTQxmYnTrRvi1b6plhsINvvJGCxtw2xTGCQeJpSEypX1/pCTzQGhmpB+WQ2c2Dt3Fx9Bx56x9TRzaTREyc8v3Qi9p85sjCM7Mpb7zRO5uOr2ZzemzXtasawMWztmwy+Pjx4/Krr76SmzdvlkuWLJEzZsyQCxculM8++6xs3769fP75588LFsoCvxfMwXX27FlrEz2bcn3rrbe6GOz48QRiIUggpaTQi0eq4+23E1AAWLxYvEw4WV57TU1t497McFh5dJ9+msqPOLPHmpSk0imR5s8dLaEQGcm8Z5dt7dWLlHk06oMBzo2EqCgyHsC4evZUNdfhMEXHk5OJeLdto7TRyEjyqnNFGgLzvvtIIa9e3e2kq1FDjZN+/nlyOiBiC68zIlNmCSOyYszSJNvqFeFNSNAbDIMB8HRyDng4SGxOruKi2XwNBPxy2bJlnvXGR44ckbt27ZLDhg2T0dHRMioqSvbt21ceOXLkv8LCnDlz5F133SX/+c9/WoH98MMPy/j4eFlQUCA3b94s+/TpIytXrixPnz79X533v11+/fVXDadffPGFXLt2rUd5RNCqJDmOmp5iyyrKzlapz4MHq7pzCHJkZaF/CH/3WVnED7xS/s3I8NKlCqdm/42aNQlfHEfcSWfS2JtvKmFMtKX/HgwSTho3VlNtOF7eeUdNMTWb3mdnk7JulhXAiY6ocq9eFMEy758b+PxZOI4+jt1UWOyY+fe+5/z7T39yY7RmTXckHWtkpB5ls0WfOnTo4Inf48ePy6+//lp+8MEHslq1atJxHFmzZk350ksv/ddYuBQxbJPBs2bNkj/88IOncm2+r759KaPCNK5AO0OGqBKHZs2Ip3MZJARFgjG1jcvoUEj17PrrX5VTCLSJElpkcF52GU0Ijo/Xe1kEg2QAw4i2ZRbhulu1ouCUV7ZDKEQ6w+uv03cwHrA9Jiy1bUsOqkaNSF4OG6a2RcNsn4/KLt98U8lxziPz8lQDe8dRijkadeO8pgy2YYdPRcS2KSnEH/AsTYekyTNyctw8Z9Agu7yNiSEHenFTmzjPw3t9++23i+35ceTIEbl792551VVXyZiYGBkRESF79+4tv/322/8KC5cifqWU8l//+peGUzjzbTI4Pj5ee0eVK5NuC+PQfE+mQ6Z+fQow86AIjMyUFMJUfLyeeY+hCGabDJ65UKcOldzjfzPbmV/XbbeplgTmNoGAwnU4rF+/iZFWrejaq1d3B8N59jd04Lw8PTBbsSI58EzaT0mxyyXb84UOMWwYZbfhN7NklO8DxzrPkrWtxRnV6FXMSxRLytb0ugfz/6pVqxaLX8jgGTNmyBo1akjHcWT16tXPS7uPSxHDNhk8Z84c67C1zz//XEZFhV2OTthbl19OjlXw1fbt6fv77qPeW0K4Ha88QAPZZHv3jz1Gchq0hBJZlDQjg7NnT8rCjo7WgyH47Dgk78wpijhPhw4kWyMjSbd4+GHd+QP7+9VX1cAGHuAWQjmsHIfOk5ZGtD5ihJ75hsErN95IdnBSEuGXTxLNzVUOwYceEnLZMhVU5piJjnb3GTOxN2YM2RC8lBvnAh9FMIAfF0Ow8H7MDDEbv4GDnutTeHbcYQ0dCtd55513yn379hWL4aNHj8rdu3fLsWPHyri4OBkOh2WPHj3kwYMH/ysslAV+L6qDa/bs2fLw4cOu76dNmyaFEPKFF1R0l4Pi8suVM4tnQpgK29ChKq2P/849wXzCBJRx/I/9atak89SoobJR4IBq1sztbeX/m44Znp0BsNaqRf2A4uMpsjxpkl5zj/XOO1WPADibOOEGg6RsLFyopkxce61q3gcAA7Am48QaG0vMJjKSjOa9e5XnOiuLjsVTqM3rRISLH5cDkG/Lo1X8NzDCXbvoeQihsk7atrV7wG0C2ufTaUAIIZOTk2X58uWLdW6ZQjotLU1OmzZNPvroo+e1SaYJ7HPnzsmMjAyt18ixY8dkOByW77zzznk773+ymMr1rl275KpVq6zKdXp6umzdmspsQMtQ0h5/XAmlNm3UlBKOmZo1ybnbuLGdNswMJN5HClmHplFrrmlpijamT6cMKCFIIeQKNQRMt260Tdu2elq1EBSVwrhxm3EXCJCTavp0Um5NhxnRpb4P+pXB0PT7daX7rbeoN4E5ORLPADxs/nyKTCUluTM6eOo2rt3WV8RxCPNjx6qycMchQwWZrzYHN+7TS3mOitKV+uxse1kWvw58zsvLKxV+T5w4IZ955hnZqlUr+cEHH8gFCxacV1xcKhi2yeC5c+fK7777zvX9Bx98IIWgPjpwFJkRShhfN95I7w2yD1nBN96opjWZ+/IMMMj4GjVU01khKPvLyxADzebn0z5165KDGAEvsxlvhw4UBebH4XTOdYgmTYj3JCWVXNrL7wn3HxdHgybuvZe+b9pUTRYWgvCDHkKpqUpRLldOxyMc2J06UZT6jjtoOwzPwXbF4Qs8ynHoHW3aRINs+PbjxtGzsU029fm8p6uaz4W/K5MXVKmieLQpt2vVqlUqGZydnS1ffPFF+eijj57XaaiXCn6ldMvgPXv2yJUrV1plcMWKFWXTppSRgFJDTrNwDDdvTo4s6NIo70cfLWQNmjIXNLVwIfGCmBjSLyGreFnfZ5+pXrI8+zkQIJ2Stw7gWR+BgCp5GjOGsre89DzHIQf7ZZe5bQJ8rlaNDO4mTeiZPPqo7vCD8YieodwA5QE1bPfqq6QfJyW5jVFMWUYJcq1aOpb4NcIJyDNAhXDrBJxvciMY/wPvpj7FdSg4G/lzNnUsG3/j5wWWeQVESevLL78sGzduLP/5z3/KOXPmnFdcXCoYtsng+fPny2+++caK4TNnzsj169cXvRtO+717K9ncurW9393115Ojxut9AtM9euh9YxHcwTlHjyb5Gg7Tu+eVCU2aEC+pWlXvlY2+jrVq6fh+/XVlT3I9OzeXdGjTXvOSwc2b2zMVfT66vrlzVQuSUaNUcEcI4luRkaQj796tSom5Uygqip4LEkJMXNnkLngAsNqxowpmeTmKzcEQ5r144RJVL45DmXm27G++tm6t+I+ZDZqbm1sqDOfl5clnn31WPvbYY/LUqVPnDRcXC78X1cE1b94864jywsJCKQQpft26qZcApwp/gXhJEyboDWVN503v3uR1tr14IUh4rlihH58LMzSH/eILUt6qViWlEMIcmSHJyQSY0aMVyDlQa9XSAez36w6xpCRy6Fx2mTtTihN6+fLkhU5PJyHaq5celQXwn36a+h0JQc647GzduRYbS8ozZ26VKqk6X8chBQMNgm1ABah5jy2vzCoeycdximtKiD4Q5nlr1tSza0zPtRdDJ6YeVWqhDOU6JiZGbtq06bzjwgT23r17pRBCbty4UduuTZs2cuLEief9/P/OYirXe/fulStWrPDI4ApLv58ip7xPHn9HjkMMd+xYop3OnUn5NMdoC6GyGOrVI4GNMcWcnqKjKUWaj+GFcOHnvOIK9T3PvOQRsM8/JwGCyBQw1bOnrvSaTaVxvHbtKHrDFV7znqKiyGndooVdIY+IION46VJSCHhGI7bPy1OfGzVSkWp+rLg44l0cn16jgjkv4qnuXMEyr9U0fHi0Hs980ybisZw3VaqkT6BDM18vDHMHRWRkpJwxY0apMfzQQw/JXr16XRBcXCoYtsngBQsWWJXrmTNnSiEoGIJy93feUcEGLtdatVIjvC+7TDlvTH6MEqWhQ/Ums1hHjqSeFaA5/pfjuGpVUm5NJS0ri84dG0uBEWSKYrqUELrj5fHHyfmbnKw71uLjSZ+oX5+w9Oqr6trNQE3r1kTDLVvSM+BGMOj8kUeUDEbPEFwDl/+rV1MTYfAPGN6Oo/ct47I0Jka/dh54sslUGMHmb9Wru3ucXX656t+Ca6xSxa5/4S8yBEx5PHgwOeRtPCcxMbFUMjg1NVWuWbPmvOPiUsGvlG4ZfODAAbl06VKrDI6KipI+H8mX7Gz9naM8EfQ+Zoy7nNiUV++/T/RQvTplWvAsKceh47z1FpXy8aAJfgdv/+AD2l8IKl1EhhFkOfrbVK5MuieO5fcTH4DsgiyEvAFPQpYj8HXjjYRh9PrENYXDdB3oV/vYYxQQNgNFoPubb9YnreN5wqkHXtOvn34tOFZ6uj6EwXQcp6XRdRc3OdEmt4vLIOPPv6RMM79fBSOB35de0nsCO45yulFmblKpZfCTTz4pO3bseEFwcalg+Ny5cy6cLl68uKgvpte6cOFCKQQFXm67TefJQpA8RPYv581m0kenTiq7y3z/XHcdO9YtgxGU7thRyK1blR5s2qU1augJJLzfF/A9bpz6Hzq22d8rJoZw5/ORU6xZM13G3HEH8RIhSKa1bk14Rqkvl8F//jPZ7o5DspxPioyIoPPgGXD7gGPd76dnt20b6TnBoDtDLiND7VOvnnf1EBziUVH6hEzTVjX9AxzvpuwtKRjXpIle6oqgtRBCxsbGlkoGV6hQQS5duvS84+Ji4feCObhswF64cGFR03m+nj59Wk6ePFnGxERrLzo1VS+34cSQn68MKAhj06DC9pg+cf/9Qt50k91LCoOrXz8SetgXDq1GjaiEYtAgd5+K6GjVEI+fr3lzJYyhaAeDJGCXLHGPOPb7ixd2aWn0e14eEW5eHjkFb7pJb+4NQAweTNcMZxWPAPHo0Z/+RM6zmBg6HkCLVFX+LKCI8P+54wnP3vR8C6EYljnqGOvQoWRc2TzdXgwa9MFpg0+cousM/FsOrmPHjknHceSePXvOOy5MYK9atUoKIeShQ4e07QYNGiQvv/zy837+f2f5d5TrypUry4gI1RcDCm4wqPp6IEKL9xoZSRlB3FEN+sT7S0ggRbNtW3vKPo9Gmqm9/HheUWCePQKBm51NwspU2kMhVeK3dSv1N+ECGHyhShUS6KZhaDoAhg1TPMsUVuiNYhNenF/w/kb82dp6awmhemcV5yDGpNZ33yUegu/M54+G2yb+8C5szxzReeB03TriObgGroiY67+jXN99991y8ODBFwQXlwqGbTJ4yZIlRQ1v+bpp06YiGYP3FhWlsrPeeouyO0zeXq2aGu7yyiuqtwfPpuzQQfV7nDqV2gt4RSp79qTgFKcfRFc5fZn7RUWpTOKVK6lnCOgd+2CCa1QUHT8uTs8ExXb9+6uMcUSHOaaA8SeeoCzNpCQqRUxN1WWw41APu5Ur6bnWqkW8jDsLQe933kmBJ94wF7zNpgib23A+AAU5LY2yaMzpjZwnwdmAlWdrciMI+hEi+Pg9KkrxCK9rNL/PzMwslXIdFRUlt27det5xcangV0opf/vtNw2nX331lVy0aJFVBlerVk2GQrojBbK3Th0y+OBo5jIkIkIFV6ZN0/s5RkURbm66iXStChUo+BId7ebvgQD9hgww/u6h1z7wAPXk4nSKa4mIULKgQgXqE2fqw9zI/OwzVUqMXnB+P8nvyZMVLXfo4C5pFIKyPD78kD6PHEm8h9Mq5G9EhJrK3rUrHZ/zAgxi4MceOFA5rLm+6zjq+nv39jZSIYNNHsflNp6hrfG8DYv8dy/ZHx2tB8ZGjqTKGrWfI3v06OE5dY2vf/7zn2Xfvn0vCC4uFQzbZPCyZcvk/v37i3Vwbd++vYh20A/zlVeUHEXWpSmP+crtYI7V229X2cac1vnnpk3JMcSdKZBpGMIAu5cHQJOSFGZx3cnJemVEcjLR7NChZJ9GRdGxeDCqb19yVHvRcyBAOHz0UVUhwWUitvH7SSdZtoz09Kwssof5/UZG6o5k7qz2+Yi3VKqkPwubbs/Lir0mhpvvx5YYwlfws4kT1T4+H/kWbEFy3Lst8xN2Ct1TSqlkcFJSkvzkk0/OOy4uFn594iIufr9fnD171vW94zjirbfeFCdP/iIaNqTvunQRIjFRiIMHhShXjr676iohnnqKPm/aJMTLL6tj3HCDELt30+fXXxfiwQeFOHdOiKQkIbZsoe8//FCIiAj6ns6r9peS/n79tRCNGglRoQL9//vvQpw9K8RnnwnRqhUd4+xZIWJihMjKEiIYFKJOHSH271fH2rGD/o4aJcS6dfQ5EKC/584J8cILQtx5pxA+H62BAJ3v7FkhTp+m64qMFGLkSCGqVqX9rr1WiCZNhPjXv4TYt0+Im24SYtcuIY4dE8LvF2LMGNpfCCF++42O+957dM0rV9L32dlC3H+/EDk5QvzyC92zzyfEvfcKUb++EL/+SuebP1+IO+6ga/X5aLvISHoWQqh7PXeOfsOzO3eOjuE4dC2OQ+u5c/R340ba7swZ/u7V5+nThVi9mo7nOHQffMG2Pp867tdf02dcA78utf2/R+anT58WUkoRExPzb+33/7fF4S9HEH5/BxFYlthYeod9+xJN/utf9A7/9S/1fmrUIOzGxdH/8+YRHTsOYUoIIWrXFmLDBiHi44U4cYIwv3w5bRMOC5GaKkRamhCzZwvRqRPRQ8WKil5vvlmIjAw61hNPCNGzJ9FuxYr0Xa1adEzQSf36hAf8/803Qnz5JZ0vOZmuNSpKiPbthfjxRzpG+/Z03TjHp5/SvhUq0P4vvEC/xcfTMVJTiYf06EHbRUQI8dZbQkybRtcMvOA5/forXTP+T0hQz9nnE6JfP+J5wSDxj6QkIaKj6bk7DvHKli3V/oDAd9/Rd2lp9Nfvd7/HY8fo75/+pHjlTz8pPoDlzBk6l8+nMB4RQf/37Kn4UTCo9tmyRR3zxx+Jp+GahCDehiUpSecPKSkp7ov1WE6dOvW/Hr+2xUsGJyUlCSGE6N9fiPffp+/KlRNi5056B8OHC/HII/R9Xh7JIyGE+P57IebOpc933KF4+4svCvHcc/T5449JHgshxEcfEb3aZDC2LV+eeIkQQnToIMR99xH9h0KEa9BKTIwQVarQ8erXF+LwYfq+TRshbryRPn/3Hf2VUoiffxaisJCwJSXhKyeH6BOPREra5rnn1LXVrEl/H3hAiJkz6fOXXwoxebIQ27YJcfIk3Q9o/sEHhWjXjvb/6CMhWremazt9WoiGDYW47TZ1v/v2EV4efFCIevWE2L6dvq9eXYgRI4RITyceyuUbX86epd+OH6f/g0Hit0LQOT//nHgS9gcWmzWj6/v6a50HcD0mOlq9Jzyvc+dIp8HxTp0iPQPb8AXPD8fAcuLECfvNsOXcuXPi1KlTIjo6usRt/zctXvgVQoiIiAgRGSnEG28IkZtL+nPPnkQ/W7eSPPjxR6I3v59wExdHeuyZM0KsX0+4jYqi4zVoQPv+8osQzzxDuvj33xOmWrVyv9ezZ0kWfvGFkjfQ1U6fpnNOnUrXIQTRabdu9HvXriQbDx8mOvruO5KXXFcMhYTo3FnJ4E6dhHj3Xfp85IgQ1arRNR0+LMTTTyta7tVLiLFjiaesWCFE48b0/VtvCXHZZfR55066hpgYOu60aSSzpaRrAE/MzRXi7bfpXnr1EmLiRJKJfr/SaYQgvjV7NuEXC+T7Dz/Q/4WFdL2BgMIO5CvkLeePp07R30CA5Hu5ckrHCgbV9hER+nvB9eF34J2L02CQrj8UUucRQoj/+R8hxo1T55VSijlz5ogtMKqKWf4Pv/alOAxjqVy5snj77bdFs2ZtxYYN9N7GjFG89oEHSLYIQXQqhOLteXn095lniG7PnaN3C1oqKCCacRwhpkwhXTUYJD0Vy6lTQlx9NeGhSRMhundX+ugPPwhx9CjRwwMP0G+OQ3p3RARhXQjiOUKQvINca9iQ6O733wlHEycSPVasKMTmzULk59N2CxcqWx/6JV9+/51k15QpQrz6qk73Z8+SndupE13v7Nkkjw8dov+vu06IK66gbR95hHwNJ06o+8/Lo+NVrkx6TmwsyXvo7WfPKn1BCLq2Dh0Ii34/2SiwXW2mJ3wBv/6q9g+FiF8LofCZk0PX9OWXQvztb2qfc+eEWLNG4Rl2D+5dCLoG0AF4C7fTT5486b4wy/LLL7+IWChjl+LyH7vGSlhsnuvly5fLvXv3ur7//vvvXZ7LkSNVOqLZHF4It5e4XDnlVY2IUNlCL7xAPQOEUNFOeJKzstS0MkRHzMaXmZnk8baNJReCPNHPPadqo6dOpcgNvKpoKIk1KUnPfMAxqlRR9+Tz6SUaQlAkevRo2nfoUCFnz1aNZfmxbFlP3Itslj4KQRFY7q13HNXUHxEjs4mo7VmY74hHv5s2pWM6jh7BxjnmzKGUcSFUhJ1fj1l77fer3iY4Dr8G/n9ycvK/lcG1Z88eKYSQJ0+ePO+4EOLSSK2W0h09/vbbb+W8efOsEafy5ctr2Tw8+ygjg8r3eIZBMEjZC+vWURo1ymfxznJy6P+cHMqWSksjGkBGhs9H+/FSWxMzoG00wTZL7/Bd167UtyQqijLFrr9ej6z6fHQty5YR1k0cBIMUFfL7qWRy1y7KfCxXTm/C3KqVyqZcuVJNuDGve/hwd0SN/x4IUKbjBx9QDxJzQiO24VkvPAvFhl/epFoIOr7ZD4T/XrcuZe54ZWMWx4OEIB7QrVvxY8/N3iGxsbHyxx9/LBWGr732Wjlp0qQLgotLBcM2Gfzxxx/L3bt3u74/deqUjIwMac//yivV9CNOg7GxFDUVgrD1/vv0OTNTbRcOq95qTz6pGsaCtyPbonx5lckQEaGXu/r9lMlx3336FERz9fmo9xeyIXv2VPILPAV0hunM9epRiTIyS3FeU440aKAyoFJTqZEtGt7Pn6+yRPi19elDDXvN67UNosA1DxpEugw/P54Vl5NCUHZKz56QbQojJoYqVPDOVrddV0mlT7Z+XcVt7/fb+yLWq1evRPx+/fXXUgghf/jhh/OOi0sFv1K6ZfD3338vZ8+ebZXBo0ePdvVFmzaNMqQx9ZBH/ZEp9cknRE9mxvLgwcSjMzOpTAe94HiWPn+/69dT9YMQqgcPaATDQyZNUmWwnJY6dKBBFDExlJ0wfrxq6A6ZHxFBlQ8YwoSsa9B0XBwda8IEylbj5UC43xYtVCnzggWqjybPFk1PpynADRqQ3r9wIen3HEvBIF3nu+9SJhjXLXDPuB4bLrzwCPnMZZ9ZsmTiz5a5jswz8AUbf/DiBzZeZa5btmwpEcMTJ06U11577QXBxaWEYROnq1evljt27PDM3jp27Jhs3Lix7Nq1q1yxYoUUQp+m7WVbmq0iwmHVHsdxSFahcgf2VXo66ebIDEKmI8dDZibZtenpZNu+/LK9/9eTT6qWBrfeSmX8uFa0MRgxgiav5uS4aTI9XWUU79ypdG3cJ59meuutqsrBpoP26EHD00y70aTr++8nvd6L5k0ZbJ4Lxw2HVcsC2+/mtEPn/2WUm9jzmoaKd8YHbZh6P55nVJRbdzfX0vSzPXLkiBRC/NfN5W3LxcLvRXVwrVq1Su7atcuqXAtBaXiYcGS+4FatSHia34P4Jk8W8qOP6HPVqiqF03FUyaAQqoFcjRqqESzSjDES9Z13iHhiY3UQg7izsuhcvP4W6y23KIP68svpfNzRk59PPbtwrEqVyGGVmKgazQpBTID3EEtOVsp4OEzGfYMG6nlwZod0Uhj/0dEE+Fmz1KhvXic9aBBNmoyJIQN/wADVgJ+XNPHSB/RvgDPMBFBsrPs98uae5hoK6b2bvNbcXH3kbfnydsbEHX+lUaj5umnTJun3+89rc3ksJrDRXO+xxx4r+u748eNl3hxTSrdyffjwYU/lumPHjjI6Wsi77lIloqDJuDhyXlaqREZi+/a6cYSpRqCV6Gi9NDk+ntakJOqVhZ4CHHuBAJX3QEBif7NXVosWZLjz/XlKc61alAqekUHYvf9+vYcNJn86DhmyRF+EJxwnJ4fw1749NaQdONBtPGRlqRJHU6Dx6wqHyeEFRcWcKIPvuBL89NNUIun3u/sh8NHqNnzh3uLi9H5ncXFu3msziHnps9c5gFvzPswAA39v6n+nVBgeOnSovPPOOy8ILi4lDJs4XbNmjdy+fbuncr1y5Uo5cOBAzxJCIYhP84EnkGU33KB6SnEe7DhUyicE9RNZt472xeQyyOCEBDJ0bWVCoAXQR0YGlSHWrOmmmUmTVOmSWQLk86kpiGvWqCmBnAdwunv/fTXtFMfDMdq3V+V6XAabQTIT3zbM9+9PY93j4+m4jzyi5DsGvfB9eV8vGOW4buUQ9nYK2rCFHks8iMAxztsVmJi//HK3wcJbF/DtMzIySsTvzp07pRDivDa2xXIp4ff333/X8HnkyBE5c+bMYo3jGjVquOgwKoqaElerRrrkXXepEhn8bjZV5/w7NpZoMyaGAk4I6HL6ql6dgkUmfXDjrlkz6o8jBJVbPf20Lht9PrrGF18kxzc34vAX/Ob559WE9Msu053g2dnKCVVQoHrq8eutWFE56jmWeEmwz0f6+dSpOk+yleDHxyvH8/jxdE6znAnbOQ5hBr+ZstKm06am0vfvvad0mLg497UAh7ZgtolpbMPLWvmxwJu7d9fLoL/++usSMXz11VfLyZMnXxBcXEoYNjH66aefys8//9yK302bNsnExDhX4gKeO0rY27VT/ap48gUcySgd5PIgMlJ3EvH3jfccH0/BTbS7gEzAtURFUVAmL4/k9VNPkc5typlx42jAEuf/vHwf31WtSnowb2IPPPBph/xZcGxGR5MsB4+B7OJOeJ9PDcXIzye+kZHhHaBxHHLOPf44yXchlAw29SJbH3CsKFnEPsXJYtjGwCZvVI/ptV772taSgk85OTkl4vfAgQNSCCF/+umn846Ji4XfC+bgktIN7LVr13oq1z4fZTygGd2UKWTYmQQthKrxnzhRRU84gY0YoSakmcQH4TVmDCmuwSAp37m5CuT5+URUvXqRMG/VSlfoAwFSSGvXpu8LCojxmMTfv7+Qb7/tFqw8gys7m/a/4w4dBAAm9rnjDurRERFBDiWe7RIK0bUA3I0a6TXFcGhdfbUytsGs+LUFAqSkPPccCWh+DWYfEjBMk3lxpskzr0zhi/+hwPTurW8DwWse12To5rl9PjLMBw9WGXGlaWrL11WrVsm4uDh57ty584KDn3/+WW7cuFFu3LhRCiHkE088ITdu3Ci//PJLKSWNR01ISJAzZsyQW7ZskX379i3z8cZSupXro0ePyhkzZljxSyOhqW8GmlRD0PD3ExlJGZEYkmBjyPHxQr7xBjmOIiNJ0PHpKxAcY8YohbprV73/VKVKhC1OJxUquJXkQIAM87vvdiujycmkjCOSe8MN9smBEydSP5CICDe9xsSQcOSGujlZ1edTPfyAVTQFxsQ1n694hxFfx44lZzbHp1mTHxVF5+/WTV0XMiwnTNAzcfh+Ph8pw3BwwzmQlkYKuC1SbIuwpaaSI910kvF9wV9NRa80GO7Xr5/8y1/+ct6wcKli+Ndff3Up19u2bSu2/8epU6ekz0eOIshjbgC1aaM3LzVpGe+wXTuSgeY26elEXyNGqElNNWsqZTEYVMZ3p07Us6dqVZXlhWP17Us0ZNIPz/wVggI9Ph/Jv7vu0q+RR5inTiUHt6lPVK+unsEHHxA+k5N1GRsK0b6c52B/zhOuu462cxwaxICeKlzu5+aS4T95sm6k2BpOF5cNgv+5vDSHVjiO3qCby29Tn8nNdT9nx6Fjjh7tnibtNY2xcePGJeL3s88+k6FQSJ49e/a84OBSxa8pg48dOyYLCgrk6dOnPfF77bXXFvHuadP0iZ74/tZbdWyatBMTQ5ka6KnH+ToCsdDPBg1StGkGjYQg/fbFF3VZgIySm25S38G5bTpYuO4+aRLJGtN5OnYsZZCZ9yoEyTr0zeL3WKGCu1eOz0f3vG2ban5vTl/Nz6drGT+e+CBsCn7sq6+m7NeEBLcOzVezUoH3MLW9FwxhgiPDtvKm8fz7uDgKwIP/evEM/uw7d7Znvxw7dqxEDA8ZMkTec8895w0LlyqGTRm8YcMGuWXLFit2w2G/DASIxvv0oXcA+uJ6UPPm5KjhGOAraBZZVN26UZIDnJmBgJIF1avTOapVUwkg4Ot16qgetgiW8iBQr16qP51NBpt02a8f2Qj8d6/p58B+RIQu+5o3VwkRHAc823P+fJLVyAIHzqOjSe/AAKNFi8iBjd9w/ZUqEbZvv11/xjYMmzqy2Z/L71f7cX7i1acL/8M29sKnjZcIoRJOvLIwHUfIV155pUT8fvHFF1IIcd4mGJcFfi+og8sE9rp16+TWrVs9HVw8ihQfTxEOIagxJbzBXFlr2FBlS3EBZUZ88vPp88CBFHmCAEQKc+/epGxGRhJAeOZC5cqq3CEiQmU2cYMxP1+NROYEbyOwatXIYebl1Q2FyJmFNGpOuGja3akTZbJUq0bA79tXV/wzM8lgMEHI07WDQeWdfu01esamgQ+DggNs1SrVbBiRKJ7Oyo1Z3KNpoJqNQ7mSzRmbjYlMnaqXo+blFV+6IkTpvNV8XbBggczMzDxvDq6lS5dar2/kyJFSSvJeT506Vaanp8twOCw7duwod+7ceV7O/d8sXsr1qVOnXPjt37+/FEJPkw4EqOwGeEJWJXeKgr44jZjO4Mcfp7JBfgy/nzKlMHX1/fdVU8rLLlOOIZ7Z+Pe/C7lhA33mAx4SE4kvoPTojTdU41iu1I8fr7IqX39dDZywCSlEops2JUz7/aRYRkYSdjGFjjeVxjOIiKDtkpOFPHCArhsY4BFqIejZTJ6sR51teDANf25IFBc9BhaRks6DDV5ZPib/9VJ4gkFvRdtxhLznHorumdG70mC4S5cu8plnnjlvWLhUMWzK4M8++0xu3rzZ0zh+/fXXiyK6cXFKefX56H8uI0AbNWqQg6M4WkD5XX4+4YJnfwWD5KD+7DPCg+nUzMoiPMPJi9R+rmxy+VFQoDIceNl/vXrUlNZrkAHoORhUjfO7dVNR70CA7jMtjZx827bRMaOjiS/AcY1o6+DBdLy8PD17GXjr2FE1s3/xRSqXMmUwrsl0lmVmqvNBIccz4wq3F0Y5n8YxvBwLJa0257vNQMffrl27lojflStXyoSEhP+TwYYM/vnnn2VBQYE8efKkZwZXQkJC0f3VrUv4CYcp6MsDKfgbCFAwmZcNmTQYCNCK1h98NQM7CExwekcrkaeeUiVBkCmgi+nTSW/t2ZM+ly9P54YsdxxyuMPotDmQi3PW+P16gGraNAoaC6Ebt0IQXjMz6Rr371c4rV5dYTQtjcq7MjPpuW7YQMazeU0mFuGEa97c3l7AcfQSI84L27ZVzwN8j2fGeGEP/Ovee91TnLle4OVIN++pNDK4T58+8uGHHz5vWLhUMWzK4E2bNsnPPvvMit/ISL+sWFEN9UFms99PzklkLJoyOC9PTfE2nWF+P2UFIzgDXs0dVchIhpO4alU1ZRwYzs5Wuixa+nB7nPOM999XpcTI/vf7iTf89a+Ew06dyElXuzYdF20yMjIoEIWAipngAh9Bfr6QW7aQPR0Okw0O+zMmRrUfuvNOCqRhwAa/znbt6Fw4PoIypu0eHa3sGBOz0EfM4JEQytYvKaMK+0ZH6+0S4PTGdly2cx5rOgy9HGOOQ60+/vnPf5aI33Xr1snIyMjzFmQqC/xeVAfXxo0b5aZNm6zADoUc2b8/OZr8fmLwyHQKBim64zjk0Fq61A1yGLyI6NoUw/x8VT/MwYIXDwG+aJHqH2IyeHiyt25VY1rN3hQooXvjDeoNIoSq5Q0GyZi2lfxwIjQB0a0bKSvciA0G6TmtWKGM+2HDFGOAMIcHf/9+FaHmhnWVKsSMbD2MbALTnGjlVZdsMgneE8DM3omOtmeomMpxxYrKuMdxTMW8ZUsymPB93bp1/y0H10cffSRzc3PPm3J9qS6mcn3y5ElZUFAgf/75Zxd+r776aikEZQ7BOduxo46zKlUU8+Ypwlyh9vtpm7//3V0CDCGPcgH0FDGx/MgjajqSqfShN4hJ14h6gtfUru2mX34tvXvTtQhBSiOc8TxCnZtLSvR11+nOHKSCC6Ew16cP7VunDpUD4NqSklS0SQhSOriBXr06ZbuWK0f7hEJuPGZmkgMbkyEdh7LOUHoFPIfD5ADIyHAfA8/nH/+g6XEQxo6jjxU3+0CYvKw4Q9jkeTaHXWkdXC1btpSvvvpqWUOozBdTBm/evNlTuR48eHBRZoXfr/pFQomOjSVFGlmGPh8ZeVDE/X7izT4fTQt84QXdgIXD++9/18tduJMY7zwri+gyLU0vXYfci4oi5RYY5NMAK1RQ2SkvvyzkvHl2B056Ol1H1apUHsgzlLCOHUt9f4Sg7biB7Per8oGlS1WfMdPpHR1NfMekb25IVqpEDvTISHKMFRYqXlW+vFsOcge1aQBgO7wjUz+xZUfD8Ob4hGPbVJbNAFW5cmQY8f1wb+Z1CyHkxIkTS8Tv3LlzZfny5f/Xy+CzZ8+6sisLCgrksWPHXPjdv3+/jIqKlEJQAMUsaylXjmSASSd8aqLfT4YhSvxtGYI+nwqgPvkkyUshVFbvn/9Mui/2qVtXL11H2w70yuKTACGz27ZVzm6bDMY9IFv8rruoHyU3NLOySF76/SRXeUsP7I975/IlI0PJUyHI6G3UiD5/+CEFqHw+uieeNd6tG1WUmDzElHXAHwxXx7FnsdiMYvDEks5h6uzFTXXzckabn3GMUKh0U8k7duwon3vuubKGUJkvpgzeunWrXLdunVUGR0UFZadOJNsiIghTVaooO6d1a+UwQcDJnN4Lnj9hgpAvvWTHMbbt1o3aBnCZ5Tik/86bR/ZWhQoUMOL6K/robt5M1Q+QU5zXIDPKcVRSAj9PSgplcPLqCy6nOD1ecQXtO3gwyUmO43CYcLF4sZAPPUTf16ypqhQch3hJdrY9EM15X26ungRjwwqOYerIZnWHDWt4NyYfM1uJmLj1cpBhGzOQZW5vXkvr1q1LxO/SpUtlSkrKJS2DL6qDa8uWLXLDhg1WYPMSpGCQjLxPP1UOI4BZCAKf+TIrVybBBkaQnk6f77iDvMmmgstB3qULOcZsnta0NAJiZiZFcfhoY1s9c+fOysiLiVF9ehyHGAWUaJ4NkZZGxw8GaWzq+PH0PY/UdOlCCjSv+eWECyP1xRepfxf/DmtGBt1LRAQZt8gMQR8Uvm3//kL+7W9KSQ6HCcCDBqlzos+WDXzI7jK9zDDC8R0yT3gKJ88a406sqCi9b0TbtsrIFkJvOornS/v7ZZ8+feRHH31UKsH81ltvyXr16l1IaFwSi6lcnz592lO5fuaZZ1yOprfeUqWnQ4bodfHIZgIdmLSan68asmMf0Ciim6NHE58QggzqcuXsgunyy/V+drhOHn2qWVOVGXMDEL08gkFVqmQKt7p1yekGZ4AZIcNn4KFbN7dCC8HXogX1Brr+eiVMORbi4/X+O3iGeD7JyaSMmOVB3HmAv6ahit/A12yKL56PbT+bAC4pcsVX3kvMceh5m46BUMhfKgzXq1dPvvfee2UNoTJfTBm8bds2+emnn1plcEREoOjZI1N4zRp6Jw0bUsYv3j1k7fjxpIwDK1Aqk5JIUQwEKMPwgw/czhacKxwmQ5TLFqwVKlA2R/XqJLsmTlQ04vPpji2snA9ERZHBbpbP8XHm4TAp48gyWb2a5B/HjOPQNb71ljLkTWwgkus4KuOjWzd6jnBwcx64Ywc51kweFxVFDoquXXWDwFYekZxM2zRoULIyzM/B+Rci0rxhvZm5jedkHs9mOJtZnvwZjho1qlT4/eCDD2S1atXKGj5lvpgy+MyZM3LmzJny6NGjru9vv/127T3juQ8ZogIp+J6/oy1bSJcSQs80DAQouGKW+nMsDRtG+MaxbQ6Wa6+lIUJCUAC5fHlF10lJREM9exKPwCh7LoMRkP34Y10Gc+zXqkVOLjj1TNoNBknHz8lRzterrlLyhbcsaNyYzoX74jSNQHkwSNlk+/bR9qbDmOsWtgFVXvYI9Flu4AN3TZuqzFKzUgKfR4xwY5d/btnSbreA15nOTzfeA3LTpk2lwnB+fr58/fXXyxpCZb7861//0nC6fft2uXbtWqsMzshIK6KzQIBwuWoVObHwfnj2cyBA5bBbthDtcxs4Pl4NIbr+eiEffpiwGxmpGrRXqkRJIxxXJk2lp5PDun59OuZNN+nZSqYMRpkgT2ZIStL7VYKP4F5wzX4/8QH0nOV06PdTRtQbb1D2o00GQ0Y+9hgNe3Ic0u3R1gS8IDJSJbogmaVBA8U/wCfbt6chE82a0TMzh+BwHd3kAeazzMuj92kLBvPn5SW7TdvZvHf8rVzZjWNzm6FDh5aI31mzZsns7Oz/c3B5LSawP//8c0/lOi4uUubnq/pcHvVt107IuXPpc7VqiliRquj3E8i3b6fvQNBQ5Lp3J6KeMEHIN9+k71Ce6PcTIG+6iQiufXtSok0lMT6e0qvRk4QLBb7dc88JuXatG7SOQ8ILEfDUVAIWb+wpBGW9oPElvNx4Dvw8lSuToEpLI+aVkqIbH9jOa5pCOKwixNOmkcMLEXshSAkYNUptw98HBy6PmHHBW6eObtTjGKU1jnE+nh1inj8qShnyxUWm0BtICCEffvjhEoH94osvypYtW15IaFwSi5dyfeTIESuGn3vuOU0Y8Xfx9NNKORs/XqUjc2cNj0zyMmFe///II0qAcudp166qnOqBB1RTWZMWOnSgjCfTGYeILKctroiHQiryLARldaBUlysegQDtFw6Ts/u115SBgOtt3Fg1yheCsi/vvFPne7xcG/i67jqVzYVrbdlSRfEGDlTPELgMBokfoSkwJmHxqJ2JaS8BO3w4OQpxjeCpeD78vdv4hZfS7RXpAj/hvVNKk8F1/PhxWbVqVTlr1qyyhlCZL6YM3rFjh1yzZo0Vv4mJsbJ1a1J4ubEaDBKdzZ5NdN2yJWEZ7xo9XYYNIxmMIATKmsJhwiePcELpgnxMTSW5GxtLju3XX9cVYND8k09S1obfT8EjBFk4v3j8cSE3blT/mzTp99P1796tskS586ZdO9Vy4M036bpsMri4FeccOpSym3DNnNZ5mwDwMAS1eLScZ4XaMlocx50xBazg+eJ49ev/e/dRHEZxj9nZKovHdIDDWUbbl25AxIkTJ+Qbb7whGzZsWNbwKfPFJoNnz54tDx8+bA0yQf7xDH1u4FxzDTlozBIm0M/KlSoY1Lq12/kpBA2J8Kpe4M3ceZAR2/TsSQOa0OqD83o4gR2HcDBkiD7AqFo1vfXG3Lkqu9J0zjRooFdx2AYhDRumJrXbHDuYnhodTQEs9P7lNF6+vN7fi/Ms/N+qFT1zHB/l1nfc4V1W6NWXCNm1uC+UimEdNkyVYtlksE3OehnVJo0MGTJErl+/vtQYrlu3rvzggw/KGkJlvpgyeNeuXXLVqlVWGXzmzBm5bNkyGQgErI4J4KRZMzV9WAjdxsnNVQ4utLUIhSjQwu0lyAfTvgqFdF2c009kJDmPunSh/wcMUIMOgDHQLrKo27ZVQ2Y4vXboQPpCs2Z0jejrN2yYSgyBDMbQGJOWkU0eHU16NA9uYTLkoEGULNOpk11GQpd+4gmqcqpZU+kwoRBdT+PGepYc9udl3VwG8zZFHEfccW3iDvId+nmjRsVXPNhkdEl6N9bSZHC9++67smbNmmUNn/9quagOrh07dsjVq1d71B6HZXIyRT7NUjkuAJs1o4guT7/m0dpAgProbNmiPLRQ8BxHb8DOHVQ4RkwMEXRiIgnJWbPsmSHBIAEKKaPmdfBt/X4Cebt2alvUHAcCBE4+cY7vV6eOmoYYE6M3BwTDueUWEpY2IHDirlGDhF8oRI489DMSgsov+HWbJYM+nyqNAiMLBtX1ctBzY9QGMq/+AiWlVSIShjKstDQ9eu51Tv7do48+WiKwn3jiCdmlS5cLCY1LYrEp13PmzJHff/+96/uFCxcWPWc4dDBa2MTOPfdQxhXHjPmeZs5UArJPH8WwExNVFiTPduQMvX591QvjuedIIPPjm8Z7166En7Q0Fd3BNvHxJGzQGJrjnze4bNSIvqtSRRnbGFTBx6Lb+v+0bEnXaWZnYsXx7ruP+BoEt8ljUNaNewUmevbUM9hMbEEwoscfpjXh97i40je455gzr9GMWPEVDk/bvvxzZGS4VA6ucuXKyeXLl5c1hMp8MWXw7t275ccff2yVwcFgQCYmUsAkKooU0FGjdIMORuwbbxBN1K+v+tJA9uE91qhB26Sn62PvbUYd7yUTFUXGbWoqGbXPPqsylTid3XGHKo/gkWAcA9v27k28hGcSCUFyPSaGItA7d1JGqMlLUL7vOIS/v/3N3Y+uZk1yKgB7L71EMpnTLb9n9Pfr2FG/TgyQEYKyQtu00WU0j5qbzkJcz5o1FASAvET2tU2eAmdoIsxHonP9AbqTieeaNdWUZa+SDvRx8fmEDAZLl3154sQJ+fzzz8vWrVuXNXzKfLHJ4Hnz5slvv/3W9f3jjz8uhSB5g2DS8897ZzvAWdSli571Azp7/32SS6acjo/XHbM5OW5d0edTWSF/+Qs51szjYG3Txj6R15ZFyPcPBHTHUYMGSo/mJUBRUfQ8UI5o9tkBXTdrRtu2a0fXa+q0uJZx41SPPxwH99y4MTnO0Zy7VSt1HlvvWc4fILNLk0nlZehy3tW+vZKrxRnG/NmayQX8fDNmzCg1fo8fPy6rVKki582bV9YQKvPFlMF79+6Vy5cv93RwnTlzRmZnZ8tAgOjnmmtUsAgZj3XrktOHZ09xGcj7WsJO4o5XOL26d6cAaMWK9B0fgBQVRSWBNlsb6623CvmnP9l/Ax2NHk2thzIz3Q6q9HSSsbyvlckLKlcmPb+47KVAgOxxTGi1Bdq5fQJn9dSpetl2pUp66XBCgj5kwiyd5Me2YYxnZCI7Fe2J+LOATs9xz53ZOD4fEmd73rwXr/mMeKBrwoQJJWJ42rRpskmTJmUNn/9quagOrj179siVK1daAf2Xv/xFlitXTgNpXJwqHTQZOF5a5cr0Ulu3JmHHBZu5X8WKuqc7KkopzlA6IyJ072vnzqr+noOElwM4DkVqzUmA/Nw9egi5fDndU4MGtD2/V0SLNm5Uk5WaN1dKKjLNQiEquVq3jgwIrnjiWi6/nNKvvSI44TD1Jnn6afq/a1fF4HCs/v31nl2Oo/cr8BKYjqMa/3HQw0g3wZeS4m7aZ/PSO47b8Wk68cxIvWkICCHkU089VSKw77//ftm/f/8LCY1LYjl37pwLp/Pnz5eHDh1yfT99+nQphOo/JwQZv1Cu//53EiqcJvB3+HCV4cBpBHTw4os0MVEIonl8HwzqJRVwHvF3XqGC2vehh4R8911SNBEtCgRovwcftDfQtQlcIYjX8PMgW2rkSCH37lXXxYVQKESGARx0+Gs7fuPG5JgzDXeOn06diJ9Uq0YOQzQQ5vX8iEDbBKCtd54teuw4eh8wrqiDZ5iRQCH0xtc2nlHcBEV+DP5/REREqZTr+Ph4uX79+rKGUJkvpgzet2+fp3KdmJhYpEgLQXQzeLDOd7mSFwiQEfvkk0RLzZurrGS8z2CQsL1ihaJPm4LWqhX1tomLI/rjpXwdO+pGOqKrZgbI4MEU3LLJJJyraVO61uxscihzox7XZ8onGLBouo++Y1FRdod1//5CvvKKnZdAr/H7ia+9+ip9P24cXTvP3MJwGy+MOI66Fv4dFGnzGfN3GAzqZcymsV2cQezVhBo8jst8NATHGhUVKTds2FAihh999FHZrVu3soZPmS82Gbxo0SL51Vdfub7/6KOPXPy5Th1VfvjOO/YshmuvVeV4ZlCQ83U4tbgMhhEIWVivnnubcuWUDIbc4ecBlsuVI2O6Th3qXVu3Lh0DPfiA45tvVuXEumxQDmJkYaSlKWMWtI3+YvPmKWcwL23MyCDneZ069P2MGeq52WRXxYq6Yx9Zk8EgZZnNnaufg+vZkMEIbkEGx8Qo7MCw59gqDpt4B3j2Xg5q23f4Pz7eLrsDAUe2b9++VDI4PT1dfvzxx2UNoTJffvvtNw2nX375pVyyZImnc+uLL77QqnEGDdL1INM5IgQ5jyIiyKnJKxT4tubwEb5verruCI2L03sdh0LEz6OiaEIhMGnKYPTEu+ce4immTSYE2QWRkaSbV6+ugluQR3AKoUVJcrLdsQR73awewLX07Uufx45VFQzm+vzz1LuL78fxOWkS2cHNm+sOIr6ioswrCAxfREnY5cE/E3de/9t4YJUqbj0hJ0fX92+66aYSMfzMM8/I9u3blzV8/qvlojq49u/fL5ctW2YF9cmTJ+Xq1avlbbfdJn0+IhrUikOZDAYpswN9unjdfOXKFGGNiCCnFNI3oZwGgyQUCwqU4DSdKo5DqZRbt6q6XK4gQin0+Si1EiOUefYQiPzeeylrgntgsU3t2kK+9x4p1JmZxAh4dBZlCq++SsayEKRcoIEvPPs1ayqmBCMWESwedUc5BybTmCAdP56yYcym3unp9hJAnsLKSyg4oG2KNQyXcFgvZTSZoJm9YXOKQMkOhbzTuc3rdhwhX3311RKBfdttt8nhw4dfSGhcEouXcn3w4EHX93PnzpVCkLGLKAo3hLKzVSYi8AaGzN/5gAG6MWvS0X33UfNq22/A3pNPUpNmIVTEC87O/v11rPEMBRwzIYGwkJEh5NtvK+WWO9NuvZVKLYQg4QmsC0HKIYR0hQp0DaEQ3T93DkBpefxx6sUTG6uUY7+f8B0bq5yGzz2nhDa/76wsyqh59FH9uYDv1K+vegJhDDlXGHiPEGDXVG5tUeDYWPeIZP4/7oP/7lUuwZ8tL8Ewt4uMjCyVch0IBP4QE5TKejGV64MHD8rFixdbZXBmZqasWpWivjExqlcHl8HhMGHo+ef1rCu/n+h06lTar3t3cijbFLvsbNouMVH/DVnDVatS81oMljFlcMOGuhPHlMFCKOV4yhRyXpvZGNWrk8GPTE/cA64XdPr885TdBTkEXuE49DxatnRnJtrKA55+mq7DzPbGOmYMOQEjI4lPTJqkZHVqqppi5SXnTJnHM7f4+eDg/ncVZ1OO8t+QfdK+vRoMZLtHrC+88EKJGL7vvvvkwIEDyxo+Zb7YZPDSpUvlgQMHXN+vWrVKCkG9dmwyuGJF5aSaNUu127AZhjBUbeudd6rMydGj9f49oLmHH6ZAp4ktBJNRWh8fr6oYcP64OMqa7NfPW16ABtHI+oorSHfg8tXnowDt1q2q2Tzva5eWpgzfBx+kTBY4djgNjxqlWgr8z//QvQWDbp6TkUG/NW2q076JA/A93m8Sv4VC6p2Zch6OQT50w9bfyzS0zePg95Yt9efLh2yYMt9xlPMwKiqqVDI4JiZGbtq0qawhVOaLKYO//vpruXDhQqsMfvPNN2Ug4JORkSphg78jDGvo3p2SFAIBXYcuV47waRuYwtdy5Ug2IoMYcg1O2KwsksF16pBM4g7lGjVU9ueaNSpLlwd8W7VSw4iCQaJZE8s5OWSTXnedW85zOn3iCeqnFQ7rwRfHoWuLj6dzb9+uMle5HVyzJtkNcXGUnfn+++RQ9srG6tlTt4WTklQWHMetl3yzOZhMx9y4ce4p4tCXcXwz8/a66wjv2CcpSe/pLQTpZuiDyvcdNEhlqjmOkHfeeWeJGH744Ydlr169yho+/9VyQR1cNuV60aJFLlAfPXpULly4UH788cfyr3/9qwwGg7JWLSE/+YQcTdxQAoGHQhTxXLNGCUeAJC1NlTpyRu1FkLVr0/ZcqEGYxMURYw+FSDiCUDMzFcg//lg1bEfKaH6+MiqvuUY3GjlRJyRQCQaAedllevQEzq7rryeQm55zMAKU/X36qWroiabXPh/dw/jxBABbHy0vRsi3jYhQhgUUfO4kACgRIbMJXpvhWtz5sX1WlprOFwi4M7PM41SqpKLj/PvFixeXCOwJEybIsWPHXkhoXBKLl3K9f/9+7bvTp0/L6dOnF9EkDL4HH1Tpy7zJI7IYhKCJpVdcoRg2aNLWUNkLv8BH06bqHDjW5Mkk+BCZNUf5BgKEiRUriL5jYnShf+WVejmC7ToGDCCDIRQi3DdooNMk0r1XrlTZmX36qCwy9OvCQIeUFDLieXRbCFIkHnsMAopS1FGWza8nGKQINEqu8B2/b1PpFUJlq/AUbT7EwSsF3fyfR/x5JBH3U5IxbZZJ8bVChQol4veHH36QQgj5zTfflDWEynwxZfA333wjFyxY4ML1jz/+KKOjo4ves99PytOaNYTVcuXIUYr3h4ascKSgvA0r5A13ytgyAtLSiJdXqED45bSGpu0xMUrh7N5dle3xjOLFi2n8OHgNvq9WjbASCpGh+uqrbscreNb99+tZnLheXgqPa8vNVeVHcIpD4YZs4vcSDNIzg/IaGUkTSVu2dJcFNWlCzjdMX8V18Iwr8KjkZHfUt2JFaridkaHvz2UwH2DDyyD5d6YM5r/bHA+Oo/dIwgAfc7vSjCifMmVK0fjw/82LTQavWLFC7t271yWD58yZU/SuQYP33kvBVNAh3mN8POnWPh8ZPpBZZqY9shpffpnkpImba65Rk8vGjCHHGPaFTpqWRoYsMJCXp64lOloNldqyRWVEcsc5H+owa5aalM7X3r0p0woOYnPSGs6zfDmVEwtBOiLvtdOhg5LB8fHq+jmtt25NfAa9tszgLucRU6bQM7HJMZ4Ja8OTTU7z98eHKZnHxb2a54TthOc+apQKnpUkk/malpZWIn6PHTsmfT6f3L17d1lDqMwXUwZ/++23ct68eS5c//TTT7J8+fJF74NPHuU0gN/r1lW9tdatI3o1K5f8fpJT5tAh81jhMB3PHAoWChEvWb5cZRRyeZWaqiqc5swhnHN6hp24Zg3pEEOGUF9aninOZRoSS/70J3Kq4V64rG/Thq63cmWVnQq5h7YhCxeSTm/iJiGB5OrQod40X7Om6q/bqRM5+dQEUbeM5Me3YdLmezBtnMhInSfYrs0MEDdtSs/TPG6jRm6nuVke/frrr5eI4alTp8rBgweXNXz+q+WiOrgOHTok58+f73J6zZo1S27evFmOGjXKZSRxIE2erNL2QfiVKikHV3y8EtAgOkSJwmGaaHT//bQ9T4nMyCCh1a2bN2GFw5Q9BmHOQc6ByYkK14G1XDkyOnkU2AT53XdT1JjfO8DBo6O1a9O9xseTdxbni40lDzSOV6+eEtRcafD5lLPstdeUIOYA7tePFCR8Fw7ThClEB6FEmT0+TMAX1+SSR79zc/X/zQgXGiaatOG12oz4nTt3lgjs0aNHy1tuueVCQuOSWGzK9cqVK+WePXu0zMs1a9bIN998UwpBTmDUjnOau/NOpVj27q1n4CGTadYscvaaNOXzkdEH49OWCjxwoCo36NNHKdEQHn4/lTBt3KjGKnPnUW4u4bhOHXIkIwpjy4J44w17GRD6E736KvGpevVUViloFZj5+98psiwEKfXovQGc16qlIlZQ+vmk0cqViR/yZsKcX3nhzlbqWNIKhdj8jvfSMzNDvPiojUeOG6cL4HbtlGFsXmdposf79++XQgh5/PjxsoZQmS+mDP7uu+/k3LlzXRHl2bNny1q1asmEBNVAnr/LnBxSYJOSaOUKZyhEDiq/X/WnwpQm0CGy/Tp1EvLDD5VCh2MkJ5NsrVyZDOJevdwOMb+fsibBI7jSGBGhslNeeYWCY6AfKI4pKWSQY5jMU0+5J/aa9Hb55RSxxj3hfpo1o2DSxImEUWATzj7wOSFIVmNYC7+fvn2pv5+JB9PwjYxUrRp4YIcHjEyDtmFDMlhM3HNMcT5aWgPXdLoLYc8isQWgsBYWFpaI4euvv15ef/31ZQ2fP8Riy9TauXNn0f+//PKL/OSTT+SHH34ohSAHT26unrXHn3+lSnqpena2KlH84ANFkzxTqE4dvczHlJ9CkNxFz66ePRXN+/3kHEP252efEU3XratPSq5c2Z7pwWm3dWvCpBAkh596St8mEKDjvvwyOXGrVCFewjM/oHs8/bSQe/YouuY8LyKCcGsahlyv8fvp+HFxxHsWLVKZLsXJ4ORk9ezwe0KCrqeHQvRdq1Z2jJtZzvgdTnYbprljn5d2Fbfa+EI4XHIfzG+//VYKIeR3331X1vAp8+X333/X8PvDDz/IWbNmuQJPs2fPlg0bNpRxcWRjoTcVAjaOQ/be6NFuuqxQQTlno6LofzM7KDqa9mvRguRovXqEycxMooVHHyXe4RW49Oqhyu0z3m8Wv3GnbFISDVGLj6dg8DPP2IPZkyer3rkDB6pWOVwGNWhAch6ZiFWqqG2ioogH8XsxMWlmGsOHwHlaTg7pJZ06eQd60VMrFFJVZ7xvmemU5uf2krvY36xmMm1rfLbJYPyen09lpdxWKE0l0+TJk+XVV19d1vD5r5aL6uD6/vvv5Zw5c4oiTp9//rksLCyU+/fvl927dy9i7GPG2Kee4GWnpKhsokqVdMLl0VZkbYDoQiEynMz0TVP5i46mYyclUVNZTvS2yEi9egqkiOggk6txY9qHN69DdLp/fz0dmSsMuIdBg9QUJ/NaHYecdHPn6j0/wFQch86Tm6vSV3Ny3GV/9euTYw0ZX2CENgByo98E2qJFpASBUZj72aZo2bazZbrx9xMKkXHgdX1CqKkdfB0/fnyJoD5x4oS8/PLL5X333XchoXHJLKZyvXr1arljx46irI9FixbJFStWyCNHjkghSOjcdZf+LkyBMGEC1eiD9pBB4Dh69h/eYb16umKZl6f6TGCiIj9H27bKSWzihtNLnTpE8+XL673DEhMJq3FxQn7xhZoYBaMgGFTKKHqL8KwvHCcjg7LYGjeme7zuOn3aKRSGMWPI2RUdTc+jVy89YxV8Y8kSikyZ/BBZV3CEffaZcvaZffOQuWEr60UfQtyrKWD5s4OwtQ2X4Pdmbm/jG40auSOMJl9QNFG7RPxu3bpVOo4jf/vtt7KGT5kvNuW6sLCwSAZv375dFhYWyr1798qsrCwZDBI9oqTHpDUhCKPTpxMtV6lCjmMug30+cgBt2UK4SEtT+AoGSVmMjSWjcNkyd2l8ZCT12alVi7Z74QV9oimXlRMn6j1nwEeQbcbxzzMbIiLIAVWhAhkQn3xCGQ1C6PpB//5Upmwb7CCEKiv2+eg+u3Z1y/CYGNVOgO8LngF53Lgx9c408VS1KvXrMpvAmwEr7Mcxb8rGmBi6d2R2mVg0HRfccLbhvLjglde6ZcuWEjE8cuRIeeutt5Y1fP4Qy6+//qpheO3atfKLL74oyvpYsmSJXL58uTx+/HhRZsd993k//xEjqBcl/ocsA3YgU19+WRmZvNSRN0x+8UWSayYtYHCK4xA+eQY3ArvNm5M84/0dQcvQITEAoXt3dwPl3Fwq5eV8w7yOlBRyFsAIvv56fWCFKaf8fuI7vXurUh/IJugm6MdTubKu9w8erAz8tWuV8820ZYrTb3lVhLkPb3htw6K5mr3yTH6Yk6NPyyvtcXNzc0vE7549e6QQQp48ebKs4VPmiymDf/zxRzljxowiGbxz505ZWFgod+/eLfPy8qTPR06gLl3sFTamDZqaqiZngq5SU90BJASSAwGS79xpZKO3iAjV43rcONIPHUfRM7K3cZ66dRWeeIbhdddR2xCUIvNsqF69lG28bh1hy3Sc9+5N+gYqKu68U79etCsqLNSzVc0gO5r1JyfrAXDci99P9suYMfQ5MlLvX2tiw2zPYasw4dOdsR2GxZkZXKZ+bcpg0/aHnsOrLPj9FreuWLGiRAxfe+21ctKkSWUNn/9quaAOLhPYR44ckYWFhUVZH/Pnzy8ad9y8efOiVH+8pFCIiCEvj2rfTa91xYpkyCYmElivvZaEIvd6N2xIBh8fX2wSZK1aVOIQG0v78kjtVVepcqH77lOOK569cMcdlB7NhRYHQTBIwm/3brq+cuWUEg2HEa537VrVqwj3C0Jv2pRA0aUL9e3hGV28VwoM8r59KRuCR/KysxVD6NtXKQ0AeCBAxsRVV+lRaSGIiXIPP38GuF6zWWFpVpuSjc+VKqn/s7K8U7mLO196erq8+uqrS+XcOnHihOzVq5d89NFHLyQ0LpnFVK4/+eQT+fnnnxdlfWzcuFGeOnVKnjlzpojGgDOfT5Uo3XijKiHk72rkSJWRYRqQeO9PPqn6brVooYQosiJ5E1mOQRhrtWoRzQ8apPfpAN1Ur06CsVIllXnFoy5QbH0+Kqc0DWpgpnt3t/HHnXyTJrkND260B4MUbVm2jARXQgIJW/DEYFBFvGNjiffFxBDmuIOuTRu9uTOMFlwL8G4q98VhiWdTwtDmZU5mKZRN0JoCGhFsUxkrjkfUrFmzRPx+8sknMjo6Wp49e7as4VPmiymDf/rpJ1lQUCBPnjwpP/nkEzlv3ryiqagtWrQoepdcBpvvguMnM5MM2dRUcsSMG6djBwbj+vVE2yZ/r1ePlGiOE+4M9fmIR3g1ieW0gamrTZuq5uu4VgRFdu5UPYO4rG7aVM98tt0r1quu0qfIIbAGJxwcb0KQct6xI20DWQtFf9cuNf0Y5SbmdaH/lolLBO0gb7lCnJDg1pW8VrMPmg23Xs/b9r2ppNu2+/LLL0vE8MCBA+X9999f1vD5QyymDF6/fr3cunVrUdbHZ599ViSDe/bsKePjY9g7cOS0adM835EQZDQ++KD+HaclIai3FFo+8AErZsWAKS98PsLbfffpQQtOrzY6MQMr8fHucsCkJJ1fZGZSFQZKB+F45nJtwgTVe2zSJFUWzcuNGjUie+DGG3VDmV+Lz0d9OPfsURUi/PpatlTtCLAfgu+hEDm8zWMLoa6Dy1ZMg+ftQWw4xf3asIy/rVqRDlUavdk8BratUqVKifjdvHmz9Pv98vfffy9r+JT5Ysrg48ePy4KCAvnzzz/LdevWyblz5xZNRe3UqZMUQh9iFggQn87MpGALSt0R0ExNpUyocuVI3x4/XjVmh71apQplHKMZPZyfSLbg7xf6Ha8YGD5cBYCQZGDS4A03UJIDxy9+R7l8t24kg5FdzOVro0ZKri5ZQk4+vg2yM594gvhS48Z0Xdzx7SX3OJ2jasTkJ3XqKIddIECydcQIfQCFrb0PHH9eTqaSdNv/j73vDo+qXP5/tye76T0hIQQIJKH33pEiVQQV6VUERAVBUVHEiyBXLKigKGIXVCAdQu+9hl6k95YAoUvm98d8Z985757dcH9XiHhznuc82eyePXt2z3zeaZ+ZqVpV9iIUQjKt9Mg0tHvqO62yuYxG9E34+bZt21Yghrt37w6jR48ubPj8V9tDDXDl5uZCcnKyk/Vx9epV52tNmjQBmw2DUYmJeDPIaTOZZI+acuUwUktlRnTDwsNRSVPPLlW4ydkNDcW6Vc6kEAKdWGouvW+fbJzHBbpdOwQUnZPq8FUB69gRX3/ySfwsEnAq36hWDRkb5cqhMHJaZ1yc7DU1dy6WRXKmk8mExu0bb+CiRRNf+OQ02vv0wUXN4UBF3q2b1nkJDpZgaN0av2vZstoIvZ5xTf/z59q3R6DS83qZJs4K03Oc9LLKtAjpKWJPgTQeOa9du/Z9ZY1pb9KkCUydOvVBQuOR2fSM65UrVzpZH/w1sxmzNQsX4u/Og5PFisneGePHuy9Bo/3FF7VYJnkZPVpmaZo2lQE0CrY2b45NJOnc4eHawO1LL8mSnxkztKVUJDc0Wp36G3DF4O3tqhirV9cyo2i9qVMH+wDQa2p5ILEQn3sO1xbVGPf3x0z7zJlSuXKG1auv4nrRoIGAw4flmkX9gPRwQwqcZ4p5ppdnjWhtKIhOzfHI/6fv27y5ZI7qHevlJfFKz+v1jBBCwJQpUwrE75IlSyAsLAzy8/MLGz6Fvqk6+OrVq5CcnAxLlixxsj7otY4dO4LJhDqjZUup/0ie/fzwPnFdw7ETHIxlyGFhqE+bNtXKDpUKkyyrdHtKLgUGIvuLyv71mrYLgcZ+586uMtKlC7KaKbnEZdhulxnPqCi0K3h5LQ8Ct26NjyMitAY79dqzWhH7fECCunfvjuwwd1PfqGfVL7+g4R8YKHFuMmEi7Jln5OfT2sN1rXpewjg3dLk+9mQc6+GYl0LywAQ57P8piys3N7dADD/++OMwefLkwobP32JTdfDWrVthxYoVTtaHyrK+desW7Ny5E2rXru2UZW6njhghm7PzdZruO/XUadMGcczL2uj9NBkwJkY77InO8/bbWIpMTBA93dCqldTHBoM2YerrK4NAb70lk1ic4T15MjKsCQ/R0VI+fX0x0UNVCdx+pve3bStg+nQp2xz7/Fg/P9kj97nntHZJXBziqXp1HAg1eLB8L51PxUfDhrh2UXCZ61q+u8PVwIG4drmzs/UcbbvddUqs+r318K+3vkycOLFA/K5duxZ8fX2LdDAA3Lt3T4PNvLw8pw5etmwZ5ObmOl/r1q0bCIFEh4QE/P2JnWUwIGGBqoLUeywE6uaxY9G+Vhuyk2xHRKCN/vTT0jam91sskrm0b5+cSszL+gwGxEP9+tKWVG1XIfAaXnrJFVd2u7Q/w8JwHSC7ma4jOlqWItPO/VEh0Jd/9VVMkjkcuOaULCnPq8qtxYLrSK9estURX3NmzkQdbLNJ35p+X09+KNeT6vXez/uMRknAUZ9XdbB6z4mtTfdHr9yTdr7GnD59ukAMP/HEEzB+/PjChs9/tT3UANfRo0chOTlZk3GivXLlyhqhoKbM7dtrjSiDAQFOiq5ZM5kp5kDylIWk1wICUEAcDm0W2c9P28OA3sOvwWiUCmPqVKkA+TU0aiQnF+opeKsVldyqVbLRdkyMFGw/P3TEDQZsurd+vZy8wB3dAQPkRMfZs1HJcnCYzfibpaXJaPGIETILTMJvMmH0/8gR/N2tVgnaChXkd6Dm2J4Aq1f+cD+LAj9OpV6qoFcXVb3HtFetWhVycnLuK8BVs2ZN+P777x8kNB6ZjRvX169fh0WLFkFaWpqT9cF3Ly8zCCFL3fr1E7B9u+u9CgiQAa5PPpFGISkUIdA5fuklfNytmzR2+T0dOBCxwxd4vsibTJixzc6WSoqypn5+6HzyBrac8UHvf+cdNASEwP59FHzm2BkyBBVjTIxrOU/58qisvb2x2T2xM3nZQuXKGJynvgFDh8pgAF/PunSRvYWiorRGjp+fbDK6c6ccNEEsrYKcUO5g+PvL5ALvDUY7vza1bIw/p5eB0jOq7yebbDQK+Pzzz+HKlSsF4jc1NRXi4uKKjGtwNa5PnDgBycnJsGnTJhcd/NJLLznvAzV4N5sxi8lLIGjd9vJCg3LOHGkw0j309cU+Gu6msZE8+voi7n19kUlCsuPrq20/QKXM/BzVqkkDfMYMNHBVHcGxXK2atok8OZaedIzJhEHyihXxuOLFpd6nMobGjbX9rn74AQ1vvfKSpCRcR8gw5VgoX14+JkaZXsmSOz1Hvx1NitOzgQwG7RQsvkYIgd9VbQDszgHmpeWe1hZ1vx8d3LBhQ/jyyy8LGz5/i03VwYsXL4bU1FQn60NvJzamEOgAEnOZgtWcIfTvf8syQ568adBA9ltVZYww0ru31EnqMUlJ+JkDB8phFdxW9/FBzFeu7D75QcGy8ePlusM/n9gT/fujDrbbUb65w0gNtCmRQ76Dux6VLVrI3nrq62PGYB9PIZBtQmVftGZxXKk6UNWZetjkDjcvZeS/j80mdT35Iupvp7cGcpzTPdD7jnydtVi0bFV/f39YtGhRgfhduHAhREZGFulgcNXBp0+fhuTkZFi/fr2LDh4zZozzPtLav2yZZE9xGSI7dsMGLSmBB1aJXcwDPipz0uFATHh7o01MuHA4tPYx7aT/SPZq1EB7nV+fagvq6Q8ubxQo699f20eb/gYE4HUNH47BdatVWzVgMiGhg/e0NBi0lQ0mE+Jz7lxMlPM4AV1TUhKet3t39IOJIaYXOKJEHw8+0fVQ83u9NYb0plp5IgSuy3o6lX9Xqkjh59LTwZ708v0kmVq0aAFTpkwpbPj8V9sDDXARsHmvj+TkZE3WmPZ+/fqBEK4NIWlKGActv3FduyIduHRpLO0pWRKFlgBtMuE5AgPRSP/6a9cGqH5+2G+AxpWSYc+VBJUDkkLjk9Li4mRGbMoUbH6pJ9x6FGL6LmRYzJolJzKWLi3BbzLh97TZkPmxZYssteCLSOvW0tB/4w3ZE4sf4+ODvwP1Snr5ZdfxybzcgoNMD+B8DwzUV66PP+4+0+0uEKZHt9Y7Vr0uCiLwYxo3bgypqamwatUq2LNnD5w7d84tsMuVKwdz5859kNB4ZLY7d+44S5uWLFkCCxYsgA0bNuga1VevXoWPPvpII5Mq24karNJus+k7wTzwWbWqLLnzZMA1b44KkBQvXQMFgzp3FrBrF16Tw6E1lu12xA4ZwcSC4PI2YIBrU1v6y3sRVK+O5yNGKJ2DHGUhkMpN/bRIrsmZfvFFzGrx70YljPRbdeqEQSw9TJlMWoebY4H/rrysmX/Pvn3lRDqOOatVllKrWPSE44Iwz1kheu/z8/ODrKwsSE1NhaysLNi8eTMcOXLEbcD6559/hvLlyxc2dP4WG9fB+/btc+rgy5cv62J47NixLvdAza56eclArxCoE2NitAFs7nhRIKh/f20Qm+92O+q9F17QlxU/Pym7HTvKsh06JjZWOgETJ+J6YTBIA5DYUB9+iDKckIBOc0KCLAGhzzKZZOCsdWs06LlTXqEC/h8UhGwONajdogUGDfj5uP71FDziweGoKPkd1Smo9FhtE8DtJL3zcj3PjXv6HP6Z9LdjR/01Ru/67yeQvnLlSti9ezecPXvWrQ6uVq0a/Pzzz4UNn7/FRjo4NzcXli1bBgsWLIC1a9fq4jc3NxcqVaqkuRc8cVOrFjIY+P2zWmUVweTJAn78Ua73qlxVq6ZfWkivN2yIj8uXR2eNlyiR7V6qlOyRpzZ89vNDfK5di7jzFEBVnWjq19WoEfbziY3Fc7Vpoy1zKlFC6rHERC0LymjEYMHQodgaJThYQEYGYpr/ZgYDsq4XLsTjS5ZER5/sgMBAPH7XLmkzUDNqT8Nf+PnV/61WXEMpGc8DVGRLqe/j95CS2J7wWRB2hRBQoUIF2LRpExw+fNitDp43bx6ULl26KMAF2gDXgQMHIC0tDVJSUuDChQu6GH7//fddkn4URDGZMOEaG6slORDzav16/f7DJhPKR1gYyuuIEa7kAqsVyRojR2rXc9XWzsjAJI0Qsj8uXRuVTY4fjyxFHx8p9waDDCA5HHjsxInaahu1KopXN5E/WrMm2iCNG2PymgKwHFf8u3EGlir/druckt68Oeo/OiYoSLbF4bh1F0zSC+7xY/WazLvDo/qbczvf21trc6hsbXfnlGWlBlixYgXs2rULzp496zZpXK9ePZgxY0Zhw+e/2h54gIsmvFCvj5SUFF3jmgJcXbvKUZ/9+yM4jEZtCYuXFwLVYtEKTXAwGto8CObtLd9rsaBjGBWF+9y5+FdlbVBQjOr5uZDQsT/+iFPfVCEKDEQ2lqf6Wb4HBMjeYSrz4Y03kIJNDiB3REuVkoucxSIj+Dz7kpSE5/D2RrrnmDGyKS6/hpEjMcPGQUO/Ie+bwJt40oLlrsRMDWyo9FLVKVCfo9pxT+UU6uJPz+vRvZOSkmDXrl2QnZ0Ny5cvh5SUFFi4cCFs2bIFjh496oxoX7lyBeLi4mDhwoUPEhqPzHbnzh1Nr489e/bA+vXr3WaOb926BX5+3lCliqvxyh/Xro1/4+JcG1MKgQEWNVBMQStik7z8smRXqfh0pzCowWO9esh0CgxE7PBsitWKjoBKc1aNUHrcpQsa1epnx8Xh9JJXXpHvoffRRDn1/MQyo/9p2pQQmKEiVou7gJDZjEkCCjRzHBqN7vHEyzHc4UwIdFQ6d3Zd3yjzRMerpWHqfVANcbUPhPp7mUxGmDt3Lhw8eBA2btwI8+fPdxuw/vrrr6FWrVqFDZ2/xUY6mH6zM2fOQHp6uq5x/csvvzjvDyVyPvlENn4ljNhsiM1+/fTlLzJSMjUsFsSTWvYeEoL6OjnZteErrQUk92+8oWVMenu7yjFnkPn7o74j4zw4WIsrIVDvjh4tx4W7C9a+8go6qSYTMlq4wW2zoRNOpZA0dY738zEa0eHw8sIeYb/+imuPxSJZNDExknFiNiN7ul8/tFvMZi3zgvCsZo3pcefOkmHNs87cSeb3SnWS9TDoaT3Q0/+qXcCPN5sNsHPnTlixYoVbHXz16lVITEyE5OTkwobP32K7c+cOnDlzBjIzM2Hz5s2wd+9etwGusLBQMBpRd9lsGNx59VXX6gMhENdcB5McUY/Jd97BqYpCaCf8UbCYyoPVRKjZjDj55RftwAOu19yVoNNeuTKuC0IgQ4UqFMgupM977DG0A9RgFx1TrBgyPmiiWt++8rvQ2sBL9wgjvI9nly4Y8PIk46VKIXPznXe0+KTfStW1erjSK/NSBzqpjq07DOrtvJKEO+SqrlUfqzju1KkTbNq0CRYsWOBWB//0009QsWLFwobO32K7d+8e3LhxAzZv3gyZmZlw+vRpyMzM1K2CSE9Pd97Pdu20jGNVfsxmDFSpQ5i4fFDAiZhc9Hzbtiizvr5Y2aMOeqFzjRiBek8N3pA+/+wz2X+6Rg2Z3PL1xSQRD/hSOxGSYV9fXJtq1EC8zJghWyPQ+UlfdeuG1xAXp03qFC+Odok7u5/Wq8RE1MutWyMrVa9X1+DBWBFitWIMokIFyZzi9qnaf0zP3yQ7Wm+wmloZRjENes7TRPLixbXJ9JIltWWQ7rDL95SUFNi1axesXLnSY9K4SpUqMHv27MKGz3+1PdAA17Vr11x6fWRkZDgby/P90KFDEBsbCxaLwXkj2rRBY09ddGn39sbsCPWeISDzhT8sTMCOHQgMo1HbuL1RI1TE7sBBwkjG5zvvIFB4tomOpZHgkZGuSqlqVVR+1GOEDAIyjJ97DsucVGDS9+HPlyghm03y70wgW7sWWWD0HSkoEByMRnPz5lonU6+MQgiMjnfvLqPt/DWquSbD22CQv6vetKlnntEaSKrC1Nv1MtZ8p+uOjMSdfqcSJbTODze+vLxscPHiRbh48SKcPXsWDhw4ABs2bIDMzExIS0uDNWvWwMyZMyEuLg7Wrl37wHDx2WefQWxsLNhsNqhZsyZs2LDhgX3Wf7tRxunQoUPODNSaNWvcBrfWrFnj/M1NJlScvXvLnjuqbLRtixkhvD/y3gqhHVNOe3y8NB7DwlCmjUZ0Vr/5Bu8970FVtSr28NDr+WYy4XWVLIm4qVwZZbtZM6lkuIG+bJksmySHmRyCiRMRAx064OQpjgPKSnHlWKWKtlk+yXynTljKGBaG5+MU63r15PTJsWPxWlSmmcmEWXg+9MJgkI3c9YLS5BBTFphGkwuh/S3VtZE/9jQNlb4bN7j4+8nRUoP4fF2hc73++utw8eJFuHDhAhw/flwTsF60aBEsXLgQXn75ZWjatOkDxcWjguHr16/D0qVLNb0+5s+fD2fPnnXB7sSJE0EIbUa1ZUvZvF3PiaR7S2W4AwZomZHkzG7fjgaj1aotcahfH1kfRqPEnyofw4dLhvSYMVLfczbYm2/KfjzEWKH1xs9PTj7Tk08KupGe//prtDvUcpD27QWsWYOYSEpCx5czQwjPS5fKPoGlSsm1JCAAHWzqd6mn10wm1L1z5mjPr2KQylfUNVMIZJCq5ycnQ+/+qfdVz2HWC1ip2X1aQ/jEPK6r8T1Gpw4+d+4cHDx4EDZs2ADz58+HtLQ0WL16NXz33XeQkJAAS5YseWC4eFTwCwBw6NAhSEtLgwMHDsDNmzfh0KFDsHLlSjfJJR/nsCRyal94Adf1p57Ckfdqo+SWLWWyVg2a6OngUqXkhEGzWbIehg8X8O23WrYD19t2OzIeX34Z7UFindDr1HOHV2AIgYEZzsqnnSoISL4qVMDzNWuGrAxe1kPHfP896moh0L6lSgxyRE0mrDaglgOc/cF/l40bMRlPz+sNP+KJaXpf5864lnGndN8+tMt5oodeM5mk/dC7t8QRtQ5ITJQ6XmWteLKv1Wt1l1jSO0eDBg2cOvjEiRMuSePFixfDyJEjoW7dug8UF48Khm/cuAHLly+HpUuXQk5ODty6dQuysrLg1KlTLvidOnWqRger7Jxvv9W2C+Br8ahRKM88GEU6yW7H/tY0QIknP+rWlUmmX3+VelUNeJKd1qGDdjAQ2X6jRiFuSPZ5n01fX1cdrDL3+/WTyWD+Gr1uNuNatWoVrh9RUbg+0edQWwV/f2Sakh9YsqRkN/r5IYM1MRGPX7UKWzBodRTa2r/9JvtW6+GAegtSrzQhtC191AS/waANrrvTr/w35zYw7by9gR6WPWG9bt26cOnSJRcdrCaNv//+e6hYsSKkp6c/MFw8DPw+0ABXXl4e7NixQ1NnvGDBAo+9A6ZMmaIRaL7Qh4SgsKWnI8hVpWKzYWkCD0KR8NhsKPhr18pm1ypNkPeeIdBypdGrl5yC5i7jO2AA0iYdDm2gpVYtrdFALDX++erj0aNlRJsUoq8vTpWzWvFxYCBOTSTFaDZro/4UwOPjWYnZUa4c/v/rr8gOoYVQCDSSU1NlM0t+DXpKke96gQw9pVkQGFUnWY96GRHher/VhYNeczi84erVq5CTkwOXL192Av3ChQtw7Ngx2L59O9SpUwcMBgOULVsWXn/99b98CsysWbPAarXCN998A7t374YBAwZAQEAAnDt37i/9nL9q27dvn8YZ/uOPP9wa1++//77TkSI6NAVDTSZcmKknB01OdEenrVlT9qPjOBo8WMDu3VolSsHWJ56Q/wcGSiyT8qIADjWbpKmHXLH5+uL6QkYwL8P19dWyrsg45tPPoqJQSfMgkd7+1ltYRsHXIfpLPYmionDyKg224MZvbCz2CaFyBXKiPVGeVQOajqVG/CqGC1Ka5EBQ+Yne5+lhmu9lyrhO8KJd7fUghIAxY8ZAbm4u5OTkaBT12bNnYf/+/fDpp59CQEAAWCwWePLJJ2H58uV/OSYeJQzfuHEDtm/frtHBCxcuhJMnT7rg96uvvgIhkJ1M5X5qPxZ6/Pnnrmw/iwWbzFetirpi1ChtgJL31qTpZXxqcrt2shR561aZ3OJr+7PPyr5Aaqmd2ifDYsFrqV5d2hNeXrhWeHlJdpnRqA3qtWmDTrgQ+B1at9Y6jAYDBriSkzH77OODCSr+XUi/v/ceGv1k2HJmiNGI2XEaSsOb2nIcumODGwzyNd7Tz50OVr8DHzhBx5DRzo9z19BYXRv4Y3dlmEOHDoWrV69Cbm6uiw4+fvw47NixAxo1agQGgwFKly4Nr776Kty+ffsvxcSjhF8ATDKdPn3aidOjR4/CsmXLdHVwYGAA1KiBAWXey8ZsRvns1QtlvlcvLEfypIPVe05BlX79UAebTIgDGvhkt8verc89h+XAfCq50Yg6+V//ks4ylw+SGS8vtD2JnV2ypJRBboNOn45tSSiBS35CeDgG26gPjvo9CBevvYbrDGdV0LWEh8u+lgcOYGBdCOkoBwZqg2MtWmCJNQUEqcUH7+1L51eTbaGhslSaX8v97Eaj7P/rTke7e+1+8Kp+lhACXnjhBbhy5YquDj5w4AB8+eWXEBQUBGazGTp27AiLFi36yzHxKGH45s2bsG3bNrh+/boTp0uWLIHjx4+74Pe3334DIZDNRPjkDN6aNSWzOSVFtqnhOzG7aBAJv6+k91auxCCOEFo2ZUKCLIdbt062yuAy26WLtI/V5IhauWO1YlCN/F9aJwwGJCPoDZMh25Hw+847aFeoNmV8PFZhUVsSbg9QAF0ItLX378dr8/LSDk5r1cqVnamuieQXlC4tk2H0Gi+/VHFDiTH1d1L9X34cYZb6p5H9pIfjF16QbHA97PJrpeefeuopuHbtmkcdnJ2dDS1atACj0QglSpSAV155Ba5fv/6XYuJh4feBBrjy8/NdALxo0SJd45qXSQghYNIk2XxaCG3PqwoVXJvF8gWYlAg1zmvXThuFJSXl5YURWs6SIIGmANemTbIBpxqRJSX9+uvobOrRRPUUis0mqdYEDGrIyY+vXh2NAXLaafQxXQNlp2fMwN5f/Npop3rdzp1xpHFkJAa7+MJYubJsusevSe/6DQY5nlldXFevxmaDesa1ujDoKVZ1cSwoEMYXAFps+PHx8bJ/CDr3PnD9+nXnfu3aNRdn+fTp0yCEgMmTJ8PIkSP/ckzUrFkThgwZ4vz/3r17EBUVBRMmTPjLP+uv2O7evavB59GjR2Hp0qVussd+mgW7YUNsyEpMJJpc6nDIYNTQoehEUnaFghm1aqHByAOUhC/qq6MnDyR7vr6Suh0YKMurSN6CgzEQRaOVe/d2ZV3pyRyXSRoX/vrryNrgDE2SeRXTVLqlnrdjR3xv2bIY9KHP4SyuZctk83gaK0yKPSgIHWQfHyyLpAlw3HjR+80SEuTkNu7oklPCkwzqb0K/10cfybWAB9v4b0VsWn4f1WtSHXs+6Yv2999/X4NfHrAmQ7tXr15QvXp1ePfddx9IqfGjhGE9Hbx06VI4duyYy/PTp0933g/Sf998I5M6nDmclCRLb9asQV2lMglHjJDBWfV+EyshPV0Gmvn9j4yUBrgQUnZUHdyiBTrrevi0WDAgvWoV6mq1fycxSGw2dGJp0AvXQ5Uro4FtNmPLhP79XQ1Sux17eH75pavOEwKTcTxQrvYDoe9eo4ZksZATwM+XlOTqlFIQTwiZ6adMOZ2/Tx/JBlN17P3s95OI8pTwwnthhBdeeEGjf93p4PPnz4PZbIYJEybAyy+//Jf38XmU8AvgqoNPnDgBixcv1tXBXl5ezrWZ1uu33kLZ8PGR5Xd2OzIx9Jonc51bvjzqNx6YJRk2m7EMaccO7TATCqjVry+ZY6tWSX3J14iAANT/vOm9Grj+8kvs56OHGZpoOHw4Xoe/vzYhYjLhtRFz+IsvtCVdXG4ffxzbdeglzikZLAR+H/JH6L12O2KsQwf9ZGtSEgYFqPcXD+ZRXyJy/tX3kl3E9bJeiZWnwBgF+HmvQU9Y5z4VDeKg59588023OpgwPGjQIKhQoQKMHz8eMjIy/nJMPEoY1tPBy5cvhyNHjrg8P2fOHKf88FK8du0QK1y2ypaVTeCXL5elxdz+dDfoRwi5PqSkyMoAfv7wcGk3L12K6wCXXfqcpk0x6K2nL6xW9ANWrND3DcPC5AAXfo3cJ69YEftKqwk1Vd4dDuz9RWxI/n1KlMBreewx9IPLlpVrA1/3hEB7htiZdB7q2amuGXrfedEitOdpHaT7R2WWniYd8vNT+bU7vCYmoq/A7Ro9RjV/vl27dvelgy9cuABeXl7w7rvvwrBhwx5ZHfzQA1xLly6Fo0ePug1w/frrry4KTgg0tN991/VmU3TVbEZnmqaYkCIwmTBApY4cpV2PftiliwS/r692xDcZ2rx0qVo1pH57ElpakMaO1TaepmukkiQhZPCOjFwyVkuVEvD889oeAZ6auvbooVW4gYG4CERGYhnUwIHyeR7cEgJ/67Fj8XP1+va4AzkHFFfK9L/q3LrLWKkLod57+X1WMxXq60IIqFGjhgu4OchzcnKgc+fO4OfnB3/88cdfjofbt2+DyWSCefPmaZ7v2bMntG/f/i//vL9i0zOuFy1apIvd2NhYKFUKHVtuxJKxu2GDlslA7ISmTbWZBjLG6P0GAy7mJhNmXOrWdWV2NWiA76GMUY0aUn68vSUFm7M06XUvL1TQqnGqx06gdaRTJ8QpyWRCAn52x47Y26tcOS2jiowNMhg+/1yWNfO1rEoVnITao4crJg0G2UD0nXdkViomRk6GMhjQoODJASG0zaP5/tRTspxDT5HqYV+vjOy/2Zs3dzXY9XqBGY3CmQl1h+Hly5eD3W6HLl26PBA8PGoY1tPBK1asgMOHD+sa3XQ/qKcVv998DwuT979YMW0CSnUyCQf9+2unjKnMxa++wmCMKvcmE+osWjvISeRUfb2ANNcDqo4JC0OMkdzb7dIJXrIEy4zpedI9UVEYkFcHO6jnNhoxeM77A3J9RiWK/v7StqAG1aTrY2Ik26Yg/NDgCdKxDodrMI+G5Ki2E127p5JJvd9Tb6fX1JYGJpPBLWb1DO0ePXqAj48P7Ny58y/Hw6OGXwBXHXz69GlYsGCBrg6Oj4+HiAjUh3Q/6tbFBEitWljB4OWFNh9fx3lZMfV+49OIDQbpTLVogfpcZUQJgcFWmw3xyh3ypCTX1hp2u5bh6e2N11Gtmnv5E0I2ha5QQTZzFwKvz8cHj6Peug6HXC+EQPuB2oFER0vM064GBHx9EV/8eYdDJgAee0x+Dv8udE0Wi6sTrephsxnXCr3EuMqovN/dE+tT7/kWLeT1ewp+GY0CVq9e7RHDa9euBR8fH2jbtu0DwcOjiGEVp6tWrYKDBw+6PL9161YQAstseYBLLzHKdXBkpJTljRtR1wohA2Akd5SUGjBA9rcWQl/P0MA2wipnXRLbWE8HExmDV06oWBYCcZGY6NrnSghsW0JDmNRkKa0P9etj0InbjtzuoL1uXe1EZl9f/O6+vthf8/PPtXLv46P1+UuW1GJYxYTaT5B/Z65Xw8L0WZo0CZafQ235wW0itWe4O59FZcQJIeDtt98uUAdfuXIFBgwYAA6HAzZu3PiXY+Fh4veBBrgAXIG9cuVK+OOPP9wGuDZu3AhCYLSTmkyqitRgkMCl8cdCoKBFROBx2dnosPL3k/EYG4vn+OknOQ2K1/x//LFkRHGhoWyGENhT65dfpBLSEzCTSbIZVKHjCuzFF2WJgcEgDYsvvkBWlMmEIKNMitmMoKA65JkzZYaJO6RPPYUNNosXd83MWCxykcrMlKOP+W9Fhg69T+0PQI9DQ5HCzVkc/DuS4lZpn56i4J6eo+fJqdIzztVFrmrVqnDt2jW3wL569Sr07NkT4uPj4dSpUw8EC6dOnQIhhEt/r5EjR0LNmjUfyGf+t5tqXJ85c8atcR0ZGQkOB1JnKZvk7j7Gx2PGVC2rM5mwT82GDTJLHBgo5b5ECWQbUlNcniWhAFfduij3vr5oBFOZrxD4eokSrsqWKwOV8quXLe3ZE7NS3Emnx6GhMkAQFCTLfHkWuHJlzFwLgSzNGTNcmSFEU65SBRlmtPbQ59B0yJYtMStFjCduKPP1QP0uanBYD0d83XBnNA8YgNdG16UeR0xTvfeq18sz4upxmZmZHpXzunXrICgoCN57770HNr3pUcSwitPVq1fDgQMH3BrXtWtjkFq9//xeTJ4syxRU/RYVJQ1CkjfeL8doRIeOT/rkjAoa0/3mm/jcs89KhgcFcITAgNjSpVKP0rkpAPX224gtvXLZ4GBMmtFYcTUgR4G4jz/GUg3S/epaZTYj1n/4QQaZ1TVFlXWOLcLg3LkYsDYaMYhNjoPKAiXDt0sXLaZUw1YvcaSnS1Wnmq8X1NNELzCu3ndPu93ufd8Brv79+0NcXBwcPXr0gWDhUcTvn3/+qcHpuXPnICMjw22SycsLgzhBQWjX0sAI7mhWq4YOJA0q4vJCgaa+fWXTZerFaDbje159VeuAcxm1WDBgm54uEzqqHJlMaN/v24d2Ktd9JPNPPol60p1cde2KrGazGT8nOlqrg0wmxOT+/bIKg2OiUiWJ7TFjcD2IjNTa8w4HDtqghNHo0dp+YMREbdQIWaDEWCVcGY14XdOm4fusVrk2VqjgikmyddTv6o6hQc/166dleumt3TQVTm9t0tPBevieM2eORwxv3rwZQkNDYcyYMUU6mG23b9/W4HTdunWwb98+F/wePXoUhMAAy6BB+JsPH47rvRDa/lvvvYeyqd4jPz9X+5vrYCEwEdu9u2f98K9/SdZWuXJae5F08KefIuOJdCq9l3SwlxeWLT//vAzWkg7z80MdTuwxVTfy71CvnvRXeeL6qadwHfH1xbLLAQPwNaqQEgL7/Kal4THlymknwZpM2iETPXpokwMmE66ffKo5T+CoSbqyZWVpqBqMIn9FtY8NBtmAn/aKFd370/x91B9V7x7qvW/SpEkF6uChQ4dCdHQ0HDp06IFg4WHi96EHuNasWaNrXNM+ZMgQp4LjmZdhw7T/0z5hgixDI9YEAatECTzP44/LYBkX/JYt5ThwnvlUBaRpU/zbq5d2RC8F2caPR4ooXTcZC2YzgtLbGwEyaxYqbKtVGrBmMzoLRPEcPlxbikAjygcPxn48Pj6YMaepUkYjKk4qrxBC+xr/rWrWdDXC6XPouwiBC1KHDvqOPS1k9B31msqrEXse0S4IgHpBL73j6tbF30rv+rTXGgyffvqpx+DWtWvXoF+/flCyZEk4duzYA8PCo6iYVeP6/Pnzbo3rr776CiIiIjTsK4cDgzN6zZC5jL/4onZEcFiYDDb16iVgyxbJtiRHllgVffq4Op70WeXKYXlDUBAqjGeflZMUQ0MxkGKx4PVVraotDSIZJ2z88IMs5VWdwr178VoSE7UsFVJoJhMGkb/+2vV3iIpCY4aXadDnU2lv164YwFKbTnOWDR9pLISWFUeN+XmgKjZWOj96xiwFtQ0GXAO9vfE4Cj7xRrmeyiP01g/6vFq1XL9L8eLaDJbBIOCrr77yqJg3bdoEISEh8Pbbbz/Q0eSPIob1jOu9e/e64JfKs3km1mhEg7BVK/eZWL736CEDL5xluXGj7BXDJ6EZjVIG33sPZZIwQwbuiBFyLHn37hgAomvhWKtXDxu003ktFln+Q3Kkx3wmnKm6keSxZEk8vl8/xHmpUlqHnPBBdsKCBZIBxpnevXrJIRUhIWjYR0dr10GDAdfCw4fxfJTddmfk6pX4c2Ypx7XRqHVyGjTw3KOHZ+D/UwYJ3wMCAu4ruDV48GCIiYl5IOxp2h5F/Ko6+NKlS5Camqqrg3/44QeIjIzQlBL26KHFid56HxeHx1aujPYkvb9ECZSRp5/GflXUHoC/n/q7duyIbAg1aaWnV+ixj48cSkBsZCGkzjUYtOyJGTMwcM2vwWxGWf79d1x7qlaVw2eEkC1BaE2gxChPmEdEoHMcGalloKjfY/hwbAFAa12PHvL7eHtLu8XXF3U6d9LDwlwDyvz87gLGHLN0veRk86CDuwQ07f7+rgHDEiWQJMB1sNmMTB/1HFOmTPGI4W3btkFERASMGjUK7t2798Dw8ChiWNXBGzduhN27d7vgNy8vD4TQMqoqVJABWj0dTM+RXFMwymDQ9pZcuRL9aCFc130qcyfZUuV+2DD0U4VAW7RyZSmvKqM5MFDqLaqa6NlTNrjX0110TW+8gVhWZdfLS36XatVkOxBugzZujJ+jvpeTNhITMZBNv6fe5xCOHnsMsUFYU38TCvqrjHP+ffg1Vq+utRlU3HObmF8z/Y73m1DiO39PyZJxcPXqVY86ePjw4RAZGQn79u17YFj4RwW4VGCvX79e17i+desW1KpVy3mDmzbVCkFSkmw69/XXWiVM++jRskktCZHZjI4tBbJWrZLZaS5sJhMayFQCpCdM/fpJkNerpy3jUKedWa1orFMwyMsLDQB1wpGeAv34Y3zcvLmc5CIEAtxiwd9h/345+lhlfdSoISdNcaUnhKSZentLh7pLF61zbbFoDXO9BYl+W6NRm4nXo2vS46goWZ7J+yhxp5vo7XoLBr8nnmrL+V69evUCDevnn38eYmNj4fDhww8cC48atVrPuE5JSXEboL516xZcvnwZ/Pz8wOGQckTBLi8vxPaMGa4j6+keUjCKO5E06U8IDGp7eaHRSs40sSVLl9Y6hVxmo6OxcWf79q6lycQyoqAtsa146VWZMlrFyINhERH4f2Iirk+xsegwjxwpFaSaqaHsC/XAUmWXvgfP2nE5f+IJGZirU0cGCKlsY+tWyVCh0g21h5EQ+D4qe3bXsHL0aK3T4A6X6ntpii0NG+BrkjunefhwaTQZDAJ++OEHjxjeunUrhIeHw+jRox9ocAvg0cSwqoM3bdoEu3btcsHtjRs3nL//9On4+xPDQwgtY2jsWGkU8+dfeUWW8Q4eLAOVxGYUApkjlD3mxnGVKtK4ffZZWTrP5aRnT2Rec/nhAV26lpo1JT5UWe3QARmeVLagJl0MBrx2KoXiejogwLWPjcpQTEpCFis/pxpw8vHBPqMffaS9PjouMFDL6uYDYvh3cVfCqJZ1cIYlv3a+7uqdTw+jZjMm6/RYmXrBsPLlyxeog1988UWIioqC/fv3P3AsPGr4VXVwbm4uJCcnw82bN93q4Pr162v0It0bSlrWro3BVpV9mZSEFQHe3qh3SpSQxwQFaZm1nAVhMqFMP/OMTOiOHi3XfZ6wCAnBpDBnfKhyvmGDgM8+w8ccw6VKaSeO0/fhtnx8PPbtItaLutPv8emn0p6n709YDQiQ7OvUVFzr1LWodWsMqumxZYTQli3y78gxRrYBsc+Dg/X75BUUYNZLMqk2hRrcooE7eudWAyiff/65Rwzv3LkTihUrBi+99NIDDW4BPJoYVnXwli1bYMeOHbrYNRpRxmfNwt+f25mEue7dtX2o+T5smBzEolYXqf2mVYa/yYS6s0YNiRVV7rt2FfDdd3IdofYXvNxfCMQMlTqryVY92XaXQOvRQ7I8OU4rV8bJyYRzHjzmsj9+PDI0ebUH7b6+cpjNG29gQIsHzvnwFr02HuTbC6FlgpFNz21/PcxSIJ0/x++JXnLL3f/qX27L+/n5wpUrV9ziNy8vD0aPHg1hYWGwa9euB46Ff0yJogrszZs3w86dO3WBzW+MWkrDhaB4cS1lkKKb/AYbDDJYxfvTkPDRMeQ88p49ZrNkQf3+u8zS8Gto314a2qpSIGXVpg0C0MdHq+x46aLNhsY2TZXin9GpE34+XxDoO9hsmPlSFRT1C6DFKi4ODX1PIHn5ZQHz5uHjfv2wftvHR/YEIcVIFFOK8PNz8Eg6/w7cSBfCNZOodz1qRFzNIhsM+N1pGqY75V+iRAlYuXIl7Nu3Dy5duqRrWA8bNgyKFSsGBw8efNBQAABsrjd06FDn//fu3YNixYr9LZtjArga11euXIHk5GTNVDZ1//XXX0EIDG6tWSP7cVCPAGr+7O2NRuJvvyHeaCCCxYL48vLCOntSmCQXnTsjhlu2xFLksmXxWF4W4OuL8vvYYzjNicr9SDY408nPD8uheHCWjp03DzGoyiOVOptMGDwnhgv/jMBAAe+/L1kb6k4KaMQILG+IiHANMHl5YbCapjPRb8iZKElJWM7cr592PTAYZGCQWC30Gg98U/CLr7lkVKnZJaNR65gQq8udgqbP0lt/UlNx/dWuI14aA2fcuHGwdetWOH78uC4Lc8eOHRAVFQXDhw9/4IY1bY8ahlUdvHXrVrfGtdVqdGKCdAP1wuDGcnQ06jf1HnNZeO45aXw2by71B5e/2bOlw8qZCnFxkhE1fTr2iOFyqO5PPSWbuBIuuFPNe3IaDNoAEu08GM/x3r49Ouvq2kC7nx8OoyEWNk980V/qc+fvj99dNeKNRpldb9kSk0a0FuitW7xhtxq0VpNM7nbK8nt6j15QjP+Oeq/xPTq6GKxYsQL27dsHFy9e1DWsR40aBeHh4bBnz56HgodHDb/37t3TYPTatWuQnJwMeXl5bnVwpUqVnJhauRLtQupXS3LUtKlMOP3+u9YBNJkwWfTJJ9oEix4zixjKfHK41YpyzAem6OHXxwc/x9tbNpLmyRGy+2gtoH41JPcxMdp1SA+f/v4yGD9xItoLdB28oqNVK9nCgE/wrVtXGyyjdUX9LRIS8Hs4HKj369eX6wH//npOK7Vc4MkflS3HdSvHK/lHauCdJ+fUwILqBPMkAfVvoufGjBkDW7ZsgWPHjukyQPbs2QPFixeHwYMHF+lgN5uqg7dv3w5bt27Vxa7NZnLqFSFQP86fr5U5k0mW7AmBrKTevV11sF51jeorCyEDWtWqadeAxEQ5EVjvnC1aoB9MyViOP1pPGjbEvrQ1a2pZkSST9D02bMAEGccY4XLWLJTz1q0x+cTll/x5Hx+0AXi7ISHQXu3RA/HUuTMG8Cnhw3E4cCD+zkYj6uvnn5dsNG770PUTc5WfQ69nrfrb6a2hdI527eQQN0/nUd/nKQAeFhYGy5Ytg71798KFCxd0dfDbb78NwcHBsGPHjoeCh4eF34ce4Nq2bRts375dF9jkLPbpgzeGmDwOh2umkyszWth//VWyifhi3qOHrM3VEzghkHVB9ca8qWRYGFIfhUDWibuJivXq4XOdOiEASUAJ+FWqCNi8Wb/vUGIi1gmr16ZmfWvXRsezUiW8JgqSccc0ORkb9NHxpFzp9yDqMTkA6oLYsiWWdKkjZtXfjLJt5HBTCZQ6lpSUsrtzqc/TvVTf4y4C7u7/6OhoOHPmDOzevRuWL18OKSkpsHjxYti+fTscOnQIcnNzYeTIkRAREQF79+590DBwbrNmzQKbzQbffvst7NmzBwYOHAgBAQFw9uzZh3YN/8mmGtd5eXmQnJwM165dc2tcP/bYYy4yEBmJjjKVBZIhZzRiJooMV29vSWVW+1hQCUNQkFaZcpq+0YjHUCDVaEQc+PigTM+ejcE0o1EqQosF+2ERQ/TDD7X9PLgxSayrGjW049FJMfGMjpoF5fL55pt4LjrGz8812+vvj9fOs1JUujFtmoA5c+RIYb4eqlk5YmZw9gh9ZkGYonWwWDG8h+5w7E4h9+yJv5X6/dXPo+8QHh4O586dg1GjRsHcuXPhyJEjsGnTJpg/fz6kpaXB2rVr4cCBA3Ds2DHYvXs3xMTEwNChQx+aYQ3w6GH4zp07Gnzu2LHDrXG9d+9e8PV1aO4pl6c2bWS5P7/3hJEff5TJJy4TXbtKFnWnToh/kkeS+88+k5lhLhshIbLvzbRpWMInBOKO1ojatfE1qxWxOHQoyrm3tzb5EhODgaSYGK08WiwyqZWZKYfGqMypatWw/FBtpM7XidmzsSSTfzdiuQQEoK5X388D202b4u9Yr557vNHxKgvWYHA18Ok4rrfpd1XXabUXmqqDyZHWaxfB9/DwcHjuuefg7NmzsHv3blixYgWkpKTAokWLYPv27XDw4EG4fPkyvPnmmxASEgLZ2dkPDQ+PGn5VHXzjxg1ITk6G3NxcXQy/+eabLklCLy8ZiCIdxadOV6+OOG/WDPviqAkh0uFjx2pll3SJ0YjnWL9e6l4uS7ycafVqyfrgLLARI2Qg+5lntKWJdK7x49GOJiySHKoOKOFCDcSOGIGsaiHQ2eWleFQa3agRNp8uW1Y60BxjFSpIpim3RQhfViv+TsSCpeepF6eenuW7GpRw5zS7O4fKjOPXwNdkHvTXO6/BIGDs2LFw9OhR2Lx5s1MHr1mzBvbv3w9Hjx6FAwcOQFxcHAwYMKBIB3vYVB28a9cu2LRpky5+8/Ly4PPPP3erg1u1klP+aA8IkEFgd/LUpo30Zd3d8w8/lP2n69WTdjq3FflgBrVlRrVqiMVWrVDPcvuOAraRkYgFSmDTuUqX1vaUosA6T+ZWrIhl0DRYRd2p5YiqJ6nayGbDaytWDNeO7dtlWSNfrxo2FPD997geerJ5qZyZBmiQH1ytGrZVoZJffg2e7ODoaK1e5qWJqq/ubkeCTjFYuXIlDBw4EE6fPg179uyBlStXOnXwtm3b4ODBg3Dp0iUYP348BAYGwubNmx8aHh4Wfh94gEsFdnZ2NmzZskUX2GYzZm4p0ETCoXdTiZ7ZooUEocMhje+MDNmbSw1GUfnRxIlyOhs/buJEbPrKFQOdnzPHaOc046QkLD2w2zHz07SpVkAJAEFByOygjJU7BzEiAl/jE05iYvAan3pKPztGCm7MGGw+HRnp6vRyUK5ahdFq/hvQnpjo6hi3aOEeaPx6aNoFX3Do/uiVVug14ONAV40DMugpek/Hh4SEuLA9cnNz4Y8//oANGzZA3759wcfHB+x2O0yaNAlycnIeNAw026effgrFixcHq9UKNWvWhPXr1z/Uz/9PNtW4vnnzJiQnJ0NOTo7bAFefPn1ACC0lnstLVBTiSx21LQTKaXy8zDZbLLLMwWhEWX7tNXyuZk0MyJIckIxXqIDNp0NCEF/cQE1I0Pbl0bu+gQPR+BUCs2LcYaTjhgxBdiYxnbgsOhz4fJkyOJGNssecNfX006hAhUCGCNG5eeAuMhKzWr1743MtW0pDPigIs1V6pcT8OsuUwWwUBYwtFlkqRmtbQACuL5wKT/eFY436i3BjgCttdU2gDB43iAirnTtrGTv0XnflTHl5eXDmzBnYuXMnLF68GHx9fSE0NBSqVasGGzZseOClier2KGFY1cG7d++GjRs36mLXbreBySQHk7Rtq51qppeBbN5cZly9vbUZXzKMuV5p00biq1cvlHOemSaZ69VLGrkkH3Y7ZnHpXMS04IZs2bKSqaFnTPLyeNrbttUmtWhAzdSpmDTirHKuh2idevZZbdCOrxnETKW1h76n3S5th9WrMQuvp4PLlZPNuknP6elDjjFPZcPu9v+f1/m6x5+vXLmyC4Zzc3Ph8OHDsGHDBnj++efB4XCAt7c3vPvuu3Dp0qWHiolHCb+qDr516xakpqbCpUuXXJ5/9913netx585aJhK/R6GhyNqiVhb8tTJl0D5r1Ahln8qMuEzxAJIqH/RcsWKYXOaMRjp/cDA+v2OHvEZ+rj595NCUf/0Lr5NeJwwMGCBg9260kdVgnN2Oe0wMOrFURsg/48knMZlrMODnvfCCVr/ZbHiNa9dKdmbLlnLYk8mE37FVKxnkL6hnnhDSTqFhV+6wZrO5DmOicxN7XF0LOP55oo0HE+na3fXfMxqNYDYbXPpe5uXlwdmzZ2HXrl2wdOlSCAoKgtDQUKhYsSKsWbOmSAd72FQdvHfvXli/fr1bG/rWrVvg7W2CmjX1g1F0LylAFBMj5Yr7ehQA5mwvei9hYuxYLb4IS6NHC1i8WPsesm/pXO++iy11eDme2Yx6e/x41IlVqmh7eNL5HA7sZ0fBumLFtPYmJZwmT8bAm1piaDDg9ypTBrH+8ccy8Ey+LeGY/37896xaVRtUo99Jr2UIfT/626KF/nH8XPw7k+/v6XhPZBA9HezjI5N//Hu99957unb0lStX4PDhw7Bx40Z46aWXwG63g91uh7feegsuXLjwUDHxMPD70ANcnoxrs9ngpNtSxpOaILoLqDz3nJzCkJAgFa/FIpvXJidjVpcUO723SRMZBBs2DI16rjTUzypVSr/mf8wYbDLPewaR8hs92pXiSTtlSG02zCwlJWm/p8kkR4uOGoUTY3x8XI0KHx/MYAuBzjlXfj4+UpGRgx0Soo2Ax8XhxBwONHcBt4KYGAVFmN1NalONAtV41yvp0GuCX6FCBY8N5fPy8mDs2LEQHx8P/fr1g4oVK8Jvv/32oGHwyG56xnVaWhpcvHhRF8OXL18GHx+H8x6ZTBhQCQjAgC6VEvJ7Nm0aYis2Fh1NuufUF6pRI+wnRf+TrAQGIlsyMVErL1wGY2MR/+3bS9nlxp7ZLEcG68lo+/ayhOqtt9DQVdmZXCbj4zGwTc+VLavFP61J/DPq1kVHWi2lpr9Uojl3rmSG6GHpjTfwe5jNqLg5A5Qc5P9kp4BYaCj2+KLfz1NwkF9X5cr43dTXKUPF+6vRecqUKVNgQ+pDhw5BuXLloGnTptC5c+e/bWPZv8um6uB9+/bBunXr3BrVISGyn1tkpJT/IUNkqR7v5dG3L5bkkLzr9fyZNQuDukJoDc769bU9dVS54mtF2bIyOEU79c0bORKnGus5bpw98uGHqGfNZm1SZNYs2fOE6yJvb2RdWyxoI6xcia0PqG8d4WH4cMSf3ufSMVRS3aMHvpdfZ/HisjRICHRMOL4pSM7XBXXnJaC002fwTLmejtYrW+Gfp+p9cpL19HmpUqUK7Pfx3nvvQenSpaFPnz5QpUoV+P777wsbJn/bLT8/3wWnGRkZcP78eZfnhw8fDkJoBw2ZTBhU5kMUVB3s748BHpVZGBmJMlSrFg5JqV4dZZd0ElVQOBzoMHfrppUTvsaPHOnaEzY8HJ1RkwkDUTTxmMtV69ZyoFCvXtpmzfy4evUQryVLahtVx8cjO0QI/A5ULcHL82rWRAapw4G2dOvW+iX9P/+Mkxfp82JipD3h64u/Y2goMtmotw8lnFVcuStVCghA55l8Ic5Oo2tSnXbCJ2e96K0T9H5PNnxsbGyBOvjIkSNQsWJFaNSoETz99NNQqVKlhx7gepQ2VQcfOHAA1qxZ4za4NWvWLKc/aTJJxuPAga56RgjsyfXzz/hYr09e//5YAkzP8wRMnTqSFa3KJpeVZ57RVkKR3Nepg/L2wgtIliAdTO8LDcXSw8hIxObHH8uSXI7D774T8O9/4+NWrXBtIDJG69ZS9xOeuC9hMqF/8c47rtetYq9mTUxgqQEnXiExfjy2/aBWAGazNiGr4od0r+qTqsFnTzqYWgKpz/PPMxhkuxJ+3erxO3bs8IjfvLw8+Oijj6BUqVLQp08fqFatGkyfPr2wYfKXbw89wLV//35Yu3atW+O6dWs0Is1mdE4JrFzxjh2LASE1KNKzp6RXciE3GGS54y+/yNGqaiSXSihefVU6pdwI7t0bg0xc4OgcFStqhVstC6IMT0QEAnfGDK3BwRUPUSZbtkTA0SJXt67MhhHwaFIDnadHD9mc013QKTYWeyNRE11S0mS0RkXhZ9P76Lfn7A81kKDXGJN2fu8oKKDXfNNgkIaZnpGt9z9dQ2xsLLRo0aLA4NaECRMgMDAQNm3a5JTRIsXsftMzrjMzM+HcuXMuzx8/fhzsdm+njAmhbSJdv77WOKWdDMOICKQfh4SgIqQMrhCoXMxmND43bEB5o4AXLfJ+fmgAc9nyVHLDj+FlDZs2yYAvVx516qDio7WA6Mt86lyVKsjaosA5l1WzWSrn9HRkeqrXaDCgMT5xoj7DiT/Xpw/+puo6aLNhWSAxp9wZtPQaL7PgTjfHt4o3+p/KD/XObTK5lkEaDNgAeOhQqfx5v6/p06d7VMyHDx+GsmXLQrdu3eDPP/90ymjR5n5TdfDBgwdh9erVbhhcZmjWDMuAOEvDaERcqlOKVD3Qtas0pJ95RtvIndb2mTNxYqKqg/l5Jk7E/l9CyD45TZtKzAiBzLHateU5KPDUrZtkcPLBCQ4HJsRoOAthkt6vxyouWVL2nCRjntY2vaA6Gf29e6MzoNoJJhOudeSABgdr1yvSwRERaOTrBY/JOSFnWL1mPd2qh3u942i908sk8+/rbk0JCPAvMLj14Ycfgp+fH6xZs8Ypo0UYdr/p6eAFCxbA6dOnXZ5/6623QAjsi0PMBNLBRqO2fE11jOh++vtjFYUajPLzkz0d+bGcvdmtG35GuXLISOT2M8myn5+czpiQoLUz+cAirs/occ2auDaQrlLZW0LgZy9ahLaweq6QEDloae5cOdCJr3UxMehjlCqFWOvTB69Z1cHDh+OwJ4cDf2MehC5XTrJUaeeBLkp00bmGDHFlp1SsqLUN6DUawKMyYvhnqbqbGDPqmqu3f/zxxx518LFjx6B8+fLw5JNPwp07d5wyWrS53+7evavB6eHDh2HFihW6Onjw4MFgMKB/SBNAqW9jUJDUwSNGILtR1cG0d+rkfmjQtGnoC6vyQMd07+45CNq2rWRe8URUYiJi6cknBaxYIWWers/bG4Nt5crh41dekUkqviaNGYPsTvpcstENBpRjqxVxnJ0t8cy/h8Xi2lCfY4kCUuHh8v1t28o2Iz4+GASjgLE7G5f8fBW79HfYMFmaTMxPfhzFNyIiJMHG3eAYvfug91xYWGiBwa2pU6eCj48PLFu2zCmj/0QMP/AAlwrsQ4cOwapVq3SBHRoa7BROiwUFbuNGBDnvs+PvL7MjBBoOcrrRTzwhmVv8ed4/okkT1wlD8fHSwaXP0zPoWrZ0jWjTY2qyuWULCrGfn7Zco2tX2dhvzhzMBqkCO2iQrOMtUUJbauXlhXtkJCpZKmNSyzFbtECHgxvyPDstBFLVafRx48ZS+eo5u2q5pNq40l0Umj6Tgml6C4UnIHfrJkve+LnocatWrQoE9eTJk8Hf3x/WrVv3oMX+H7PpGddZWVlw6tQpl+fHjBnjct9mz0aWFckOOXB8YX/6addeUiEhyAoJDkbHmI8YpsxNxYqIDx8fGTwmWbLb8fn4eAHjxkns0DVIZYCZZW5EWyxyQIWeghQCadGvvy4NXx7k4t//449lILl3b7kGUIN9IXB9ee45PAcFrukc/DcZMUJik39Pfo08+yuENlOmVzqhXi89psbz3EhwN4lND7tBQXi9oaGuLDftemJwGi/ff/99gYZ1uXLl4KmnnoK7d+8WNjQemU3PuF6+fLmuDrZYjE49Qvf3s89kg3S9aX7uMNKxo2w3UL++nIqop4N5CYUQmKXkjCa9jGyrVhgo1nOiixXT9rIgeeaBJpsNnWBPk5P79sWAN58G6Q5DtNNaozLQ+EQl2qtVQ91btarUq40auTIx6DvQeelYd0F79Zr02F2edjVgx1mveusFrmMFB7c+++wz8PX1hRUrVhQ2LB6ZTU8HL168GE6cOOHy/KuvvqrLjBg7Fh/zvktkN4eHY0CIJn5zOfD3l7q1ShUpb4SHMmWQFRUcLIcrkdy2aYPnjo1FG1ctp7dYsLeuOsBBvYZff0WHnK8v5ByuXYvX1qULnouzquk8gYGyHUJiovxdqFeQwYDMj7lz5dAUbmsMGyYnr6vrHE0ibNIEWeY8qMZZ4nQ9hCM1MO0pAcWZZn5+WBZG7yeb+36w3ayZtu+nHo7VskR1P3nyJFSuXBnat28Pt2/fLmxoPDKbqoOPHTsGS5cu1dXBDodDc+8bNcKkLm+HYTSiPuDldWrpPclfy5bSBufPc53buLH2f9KVxHwcO1abXOJyTbhSbeDISGnPBgfLHoBcnrt0kWXS48bJ4C0/f3g4kl78/DBBTr1yhcAEVJUq+oky1Q8lNvaECVrSBR33zTcCDh7U/35EkBFC6mFigKkYUhMDer6E3s6rLgrSy3w94a8HBwdDTk6ORx381VdfgcPhgMWLFxc2LB749tADXEeOHHFrXJ89exbCw8NclALdPOq7FRYmFS1lljlThJQnFwgKJrVsqQ0Ucce6XTtthosWE8rYvv22tpRPBUF0tOskk4AA/IzERAF798oeXvx9rVrJQNyMGZjN4YrcbMbrXroUQZ6UhMfTZ4SGavukEIWRlwIZDHgNQUFolPTtq3V+CZQjR2LArEwZbYCrYUOkgJrN+mwtXjZG101GtRpYc0fb5IsHN0LUiDYHtdksICEhoUDD+tNPPwU/Pz9YtWrVgxb5f9Tmzrg+fvy4y/NTp04FIbCUr1w5V0VF97xyZe1CXrq0ls3IZUYIlKkxY7Slf1w5mUzoEG7ciBj095dUY6MRFSKfKESvkdJ77TUMOKuBGB5gMpm0pYa8LxhlfQcPdqU9h4TI8uGvvpJlUPz38PbGrHREBAbDsrORnWK1ahVx9+6SHTNmDBrd3t5aJkZ4OJZLz5wpr5MMY76eCIHn3r1b9v9S11v+G+sp1Wee0TfUeYlaQoL2fUajbJxvMAg4fPgwXLt2DXJzcz0a1idOnIBKlSpBx44dnVnjou3+NlUHHz9+HJYsWeImyRQCFSpoGby1a+M63LIlGpruercIgXI8dKir3LRsKZkXqoxxHdyliwyqemoXoPd8tWqIC45Z+vvYYzjJifr9mM1yzSEMP/44ssTUwC2/3oYNsZxDNWJJVwmBTjdNXuW2BrUFeP11dMbVoBHtL74oYN8+DOBzO6F+fWxVwAPb/NpId/IMMmGRs854H1AVu02baktJ3d1r1agvWTKuQB385Zdfgo+PDyxdurSwIfFIbXo6eNmyZXD06FGX53/88Ufn2syncfGA5fDh0pamvWRJXMsjIpDdTwNU6D77+aHc8p6yXFfSRMN16zC4zHWX0YiyW6wYXtOiRdret7SbzaiLH3vMFXukRwgH3LG0WFDPDhok+wq52z//HINtfA0hHNaoIXviUpsOHqSmx716yYl1amKdgk3h4YhVmhKsBqi5Lcx/RxVbeusDx7en7+ouCaGei84zdepUjzr49OnTUL16dWjdujXcunWrsGHxSG2qDj558iQsWrRIVwdHRUVB+fIYVOKVPXr3k4JdFDRVgym0fqvl5M2bawNa6qRAIbCtBT0XGiplfvRoHKBgs+FncnmuVAnt0dKltcNoaGhFsWKoh8lf55/ZuLGcJKxio0YNPG+DBgIWLkR8hYRI1hMxo4WQ9kOLFtpyPlqjxozB9a5YMfwelSrJz+IVBz16YBJar7cZ17fqfaHkmYozPuzGHUtLxbQeM0wP3waDKNCGvn79Onz33XfgcDggMzOzsCHxULaHHuA6ceIELF68WBfY4eHhzlIjLy+M7D7xhPYmkyFKjKP69aXDyoNTn30m+4LwDG/jxtIAf/llbdN43kOLprlUry4ZXP7+aPwZDDgF7ccfJTuLgzExEY15VYhtNlleMGCADLpxJ7ZKFdlvQAjZC4UbKElJqKRp2qQKLnI6Z8xAY4UMALpGX180oqmxvLqg2Gzy2rkD6+fnvrafL6Z6Dgw9jo+XBpEeWFVH299f/k50jfRaeHg4lC9fvkDDetq0aS50zKLt/jcVp8uXL4cjR464PD9r1iwQAgNYfKy23iJusSD++AhtkhWLBR2yrCxUwtwRNBpRDl99VTtKmDulkZFYSkx9tzg2rVYMVHF2B8/4cKXRvLl+ttNgwGunMq6YGO349cBAOWmsTRtUzHqKitYhypzTZ5UujbuKNdXZ/fhjWV6oMjd5hldlkuhhXr0/SUnoZFOjW3pezVhxNidhk4IInu4/3gtTgQr5+vXrcOrUKahatSq0adOmyLD+/9hUHXzq1ClYuHChrg622WzOUiNvb9StZcq43nchEEejRmnlgweCg4MRQ6oO4OcZOlSbheYlherxXP47dZK6U+2FR3rmgw+0jEiu3+12ZJ7QOpWUJL8jDxiPHInBAv7Zet+Ffz7ZLvx6yKCna6BAvLom8nJJMpK50U2lKnoMKne7OydZz2D28pKlpJ6wqw2sOQrMGs+cORMcDgcsWLCgsOHwSG4qTleuXAmHDh1yeX727NkgBDqnhL0XXtAGMz0lGIVAveXnh7p382bEsaqDfXxQh0ZEYLKVO7lmM762eDEGpiwWrR1ZoYIMUunJKcnmoEH608WpN1W/ftiAmprgqxg1GvG7pKSgE+tJByclye9Jn2GzoW7fs0faoMRCI5w2bqztbaR3nfR59PmdOskgGyXqeQKK3kPJXX4eITCIodpN/L1q0I3uN7FQVHamwSDgxRdf9KiDz549C7Vr14bmzZvDjRs3ChsOj9z2559/anB65swZmD9/vq4ODgkJAZsNk652Owajn35aBqm4v0isn5o1ZXCL65Xx4wX89pvENT1fuzb6sEIgzqjskTOVBg/GZCuXX8J+p06yBU9IiFZ3EfPr888RL2XKIGmDM0v9/PDvli2ynQdP0JhMsuS3dWvtVHS6vhIlMGE8fLjUn3wtCQ52rXjgtoKXF17X8OH4eeHh2sCUWiGh2sr8WnjcgLPUaB1wlyhSA2F6VRnqcXrB8ZCQ4ALt6J9//hnsdjukpKQUNhwe2vbQA1ynT5+GrKwst5HrgAAUNLrRTz6JN7dLF+ydxRdvoxEzw/PmaYWAFCQFvj76SDbg40quRg1U/kJgLTCVEvF94EBsfslBThHa1q1lNjQiAoVYLdmjsZ9RUZjBJaGsWFEa6StW4DVyoSWnlAyEgQNRGfOFhPbAQNlU8/nnMWpNv1Pt2vieQYMwck7BOHcOL2daqK/R4uDnh9+f12lHRWF2ny+iehROLy99x50fRwtcUJB2tLIK8OHDhxdYljhjxgxwOByQlZX1oEX9H7upOF21apWucX3jxg1o06YN+Pk5XJzS6tXl/eeLOcez3Y4yxYM00dGuyoIUADlkNGlRVTzUyJmuxWbD7DBXzAYDBoGpDp8336T3de+O+CF8EnaCgvD8nTphMMjPTzbNpWNbt0YHAJmGrj2phMA1bu5cvL7SpfE7U7BNDfhSDzO+ThiNeO5//UvLLNFzgum3KVcOKefU30hvp2w2GR8FOdJ6GCXmCMc/XYfFUnCA68yZM1CrVi1o0aIF3Lx5s7Ch8EhuqnF99uxZt8Z1VFQUmM1Sl3p5oQHKA6Zch6qJivh4KeN2uyw/mjBBwKef4mOeiKpSBXWvENqkCze09WSL8BEQgHju3x8nJ3Njkge2bDbXMkiDQTKssrKkI8B1X3Q0GsFWKzrU33yDrAy1pNrfHxvk8kAW/6yOHfHzEhMx+KUa0mYzZowpS16QDr7fEieTCRv/8mw6P56zYMxm7fAZo1Guh9wp4P+HhYV6DG5dv34dfvzxR7Db7ZCWllbYUHhkt9u3b2twumbNGti/f78LftevXw9CaJ3gMmVkgObbb6XdyVlRVKlAjZY5c8vHBx3VdevkpEA6v82G1QDFi+Mx3btre88ajXjsvHlSh/JADNf/a9bIPricecJx0KsXTg8nfNH1tGkjYNcuyQzja0CLFq79sFQstG+PzDIfH3SsO3WSv0FQkGSCbNki4Ouv8bHeZDpaM775RjbMJ3+G27gqtvXwqwYifX31g/Ce9K+6k19hNpucn/H55597xO/58+ehQYMG0KhRI8jLyytsKDySm6qDL1y4AOnp6bo6ODk5GWJjYzX9ENu10/YnVnVwgwYYNOX2Lrf1VDngfmrFijJIqwZP9Aa2hIej/BE2yR/s0UPA/Pmug9BCQrDnZtmyqLeaNdPatWQPpKTIMsgKFeQxUVFoF1DgTmVokz3Af5N+/eRgJbKJLRYMGm7ahOsGf4/Fgr8x9f0aORIDgIGB7sv7uR+r6lF+fFgY9jvj7FK+BvLzqUF+dyxMHx8ftj4FwqVLlzxi+NdffwW73Q6///57YUPhoW4PPMClAvvcuXOQmZnppjwiFGJisEmzjw8ayNRvx2ZDtpU65UU1JNUJAyQg/Hky9riznZSkDXa99JJWSavnjI6WQDYY8LHVisp3xQpcAHhtvJ8fAqZSJTyON4BWlSVfeKjBbWAgLiBk+NeurS/848djXxJVoQmBzoe3NzJs9uxBJhz/Del8zZsjjVOlbdaq5Zky6U7R8sWUAoSeao09nZcWhZiYmAIpmT/88APY7XZIT09/0GL+j95U43rt2rWwb98+F/xevXoVVqxYAUuXLoU33ngDwsLCXBQCOZTz5yNzgweiLRbsL/HMM1pGH3dUIyIw4Nyxo2R70Wve3qgsQ0MxGEwGIVGWbTZkXZIy54pSXVdo56O29WSWro16d1Srhlmvli21rCzqSfLtt/j/Tz8hy5MrMbMZA1hz5kiDnGPBaMTvplLLadIqXWdQEK5hVLbMs9JCaNlr/LvoZZn0yib01l16TqVNe1obPvjgA4/4PXfuHNSrVw+aNGkC169fL2wYPLKbqoMvXrwIaWlpbgNc4eFYBkC4JB1H2VtKbnzzDepoKoUyGjFA8uOP+D5iO+jpYBVfQuDnvfqqVn70mqiTrFatKssLjEbUTzYbOqurVsnSW25M+/lhvx3Sv1xOeY+gPn1kcJYM4YAAZLYRo42vP/xcJhNOuqImvHwd8PJCPazih/Q6Z4aMHSuvnYz0+vX1pyYJIYP8ntYpwr87ppxqsPO/1BcM11obzJgxo8Dg1uzZs8Fut8PcuXMLGwaP9Kbq4A0bNsCePXtc8Lt7924QAvXf99+7rsPFi2t72Oit4WPHantJ8QQR4X3bNtk3lg966dJFW2KoyqPBIKeGJyZqjwsKkn1WMzJk0pfru0aNsNTfaMTHFStq9VtAgFanmkzaCg6OnW++wamq6vGVKmGwu2xZdKorVNBWN1B557Rp2BYhLEybYPPywmAeBe75bxgSgn4Gvyd6LHG9/7kTTdeidw/5d9TzEXx9feD69euwdu1aWLRokUf8Xrx4EZo0aQL16tWDq1evFjYMHtlN1cGXL1+GlJQUuHnzpguG3333XTAYUKYaNnRNphiN6FN16YL99biPRzJC7Kfy5WWAla/3r76KSVWSV731vls39AXpWki2Hn8c9avNhnglFpnBgIF0ClgRy4sHfLy88LMHDtSXc3rvBx9gSx+OEfqeoaGoWz01Yx89Gv1wjgH6W6IE6tMSJbAdT6NGrgmc6tWxAoyqEQwGra1Cfq1K4CCfnweg9dp/kF+jfgc6n9og3/X7jYYrV67AN998AxcvXvSI4eTkZLDb7fDzzz8XNgwe+vbQA1x6xvXNmzdh+/bt4Ofnp1mQS5fGYA1NYuKKQG1YqQKhfHnXflmqwI0eLSAtzVX4YmPl2NSBA2V/LFoIzGbMCi1ejAJdtSoqex4xt9nQGN2yRdYpcyX6wguyjKF7d9mMmSvjUaMQgPxz6bX33kMjPCoKA4Lly+sryv79tQ0GaQ8OxgwenZcyt8Q+cadcVUBTYKBSJYyaq/dJXTjV3l4quAn4nIlC3zs+Ph58fR1QrFgxj2WJ169fh1mzZoHdbod58+Y9aBH/x2+qcb1x40bYvXu3S0YqKysL1q1bB2vXrgV/f3+oWrUqvPzyy8772LixtnEksbq44uYZJJMJ5WDSJK0BaTbLsmFfXzQaadoMnYf66ajlzfzzrFYMdjVurA3khITIz5s1SzrsFGynY2vUQGdZPS8FmdRsGsdNqVLafgPurjEiQhrUw4dLqjbPSj33HAasQ0MRj/Qa/YZEv6ZzJiTIaVWUYecY5Jnjzz+XwTa17xA3fPTWDLUnEF6TCSwWM0yaNMkjfi9cuACNGjWCBg0awLVr1wobAo/0purgnJwcSE5O1hjXN2/ehJ07d0JQUJBLUHPCBNQXxYvLyV4mE+o83guK6yhiD9OUsho1MANtNGodsxEjUI/Se/QCqjzLS/9bLIjbhQtlZpvbDgkJUqc6HLKUkTM7rFYsNSb2Jt85G7tDBxngomsnHRUcjFhfvtx1UIxaGt2wITJUqJzKbpfH7NqF/UBIB6t6kz8mfHIWjbt1xGhEVhhft4oVcy1p5ru7NgQ8KFisWFSB7Ms5c+aA3W6HWbNmFTYEHvlN1cGbN2+GnTt3ap67dOkSJCcn69pf5PDyqYN87V66VPbX4rJnsaAdqk4OJUdTTXjyhBDJJeksVU/QekG4KVNGW0LM2YQcl3T+8uWxRJGzhFX96eeHzLA33sD/eU+8uDjXYBMPFgiBmP/yS9cG23T91aq503Pysd2u37OPsMbP+c478vfiDGpyeFUmNQUM6X9ysCk5QHpfBiktsGfPnvtqDXDp0iVo0aIF1KpVC3JzcwsbAo/0du/ePQ1Wr1y5AsnJyXDjxg2NDt69ezfExcVp9AaXFxr0Q0HZOnW0VQFqqWD16gK++MI1USwEyobBgAzlZcskUYNwEBWFr6mVUTzQWq8eJqv1dPDAgWi7JiXJiYo8mExBt2HDtEF3ep10fkAABvLsdrSb+WcRm3T2bG1lh4qzZ55BW0N9LSBAljH++KNkkOr1mabfIDAQ/1JJKMdghQpa/zY4GH1wtTd3XJz7RJW6duutKVOmTLkvDKenp4PD4YDvvvvuHzklsaDtoQe4cnNzNcZ1Xl4erFmzBhYtWgRVq1aF4GA5Qt4dy6djRwS+t7dWSRsMqOyqVZOOGgk0OdPdumHkm85NGeLQUGQ/CaHtcxEWhoEbMr7VDJHZjCCeN09fkdOI19hYzPYQOPl369YNG3MTOLmSdThcgaBGkuvVk99vzhzXDB1/f9Om2hptuhZaJL//Hq8zKEjrvJCipLIwvfuillTR7686LXqBBk9AFwInNN0PoK9fvw6///472O12+PXXXx+0eP9PbKpxvWXLFsjOznb+f+LECUhPT4fs7GyYOXMmmM0G8PV1DX4MHy4zNzQmXI+lER6uddCeeELKtN2ubYBNcuXnJ2D1all+wRlNpHDMZgFTpuiX9xiN2OC2Qwftuc1mbXP7WrXwnLxkixvr5csjU4v6ZvBA/C+/oMGgp7CEwGlR777rHgOTJslybG7ECIHOp92On3/okGTChIRIZo36namURFWkpUppm5W6GypRkGLmgTL6jYOCgu7LsG7evDnUrl0brly5Utji/8hvqnF99epVSE5OhuvXrzt18Lp16yArKwvq1q3r7NFIuImIQHkvVQoNSYcD5Vrt80bB1o8/ls4xyUqVKjLYpeo4VR/pTe/l/xMzU32tfHkMWKkJFOpjExGBQxWI2UhOJ11P48b4/+uvaxkstIa0b49l/r6+yLjig21q15brRFYWToQi/NF3ql0bm8936uSq0202qcOnT8feRxERrqVI1MOShkfo4U79nwei3QXO9JJOFgsm6dT7ExYWVmBJRFpaGjgcDvjhhx/+Jw3rv3q7c+eOBsPbtm2Dbdu2Of8/efIkpKenw/bt28FgwHYbekNZXngBW32o+sfXFxOzZjP28yHnkgd0LRZcF4iJqQaDvL2xTQX1qaW+XyRfxMSaP18ytfj+5ptYOSAEXgvJPg/gTJiALGh37AdVt9Jz6kAFwqZ6nNmMCZ3338f1TcUprXFCoC1AbQ7Uzw4IwGQA70vLvwfhsUIFVzuJY14GptzrW77TVGf9wLgBtmzZcl82dE5ODrRp0waqVq0Kly9fLmzxf+Q3VQfn5eVBcnIyXL16FW7dugXXr1+HDRs2wIIFC6BZs2bg7Y1BnSpVUM55EJcqFFT7jXDWu7eAzEzXhJPBgPI2YoSrL8aDqVzvcnzwJKmKM9ozMtAW9fHR6hSyIQIDkfRB0xnJ71RLDJ95RpZWGo0YePL1Rds/Oxtbf3Df0tcXfw9at37+GW15fm3uAkp0DqtVDoSaMgWJI9QrTE+/utvpN2nVSmsjqWuNyYQ2FU1T5wOq6H3uYiDTpk0rEMMLFiwAHx8f+Oqrr/5ndfADD3CpwL527RokJydDXl4eXL58GRYvXgyrVq2CnJwcqFSpklNxBAQgUEaPllFrEt6xY1Ew9GjQ3t5SkSYk4DFkoBHAaZqTKpRduuAxffuigUmLgsqEsFpxERk2zFXJC4HgfestV+M0IAC/g5cX1vpSnb9aIti+PUZ9SXGqzny1akihDg93beCZmCgZF199hcayt7dcSCjrGxeHi6fRiFTqmBj5WTVquAYOaRHh2QMV9HoLgJ7z7Mk55u+hzzIYBFSsWPG+FHNqaio4HA746aef/mdB/VdvqnG9fft22LZtG9y8eRP27dsHaWlp8Mcff8C1a9ecOImMlNPyuNzQPX7xRRnU5TghjKmMLf56v34o53Y7GqLc2SO2o92OeI6M1H5u5cqyNn/hQnTg9GRvyBA5aII/TyXDL78sA9b88wMDMZDXvr2+o84zsM895xpIImXn74+vLV2KeNTLyj//PD5fsaJ2CmVQkHZqpLqO0Hd2OPQDjEJoz0c7n47I8amH4bJlXUsWhRAwbtw4j/i9fPkytG7dGqpXr15kWP9Fm6qDb9y44TSuc3NzYenSpbBixQq4fPky1KlTB4RAmQsJwZ3KFLiBFh+Pkzp52SG9TizdAQPQGeWGNgU9y5fHv489hpjkzC6SqebNEeuctUHMEZsNnfjhw/XL5mNjEQfFiml7Rfr5YdLKZELW41NP4fOcIda4sSyPev55xDo3+IkhvnEjBsJUHV2mDF63uq5wDKs2Q8OGch3RY4bQb0OsL0/GNtfXfO3hO9et7s7RoIFkc2FGPwpatWoF58+f94jh+fPng4+PD8yYMaNIB/9Fm6qDd+7cCZs3b4Zbt27BgQMHIC0tDQ4ePOjUwf7+Mtnz+usY2FKdYSHQ1qVgE+G0YkVMugqB/WpoaARnBnt7u56L/tJ0bi5b5DgKgfqXPjM9HRvJqzI6aJDsiaf21KPpos8/j8EyckLVxFT79tgXj/Sb+hkTJiBzkuOL1qG2bSXLuV49aTfz79S9O7JPiQnDz202Y3KbT5JUA3Lk0HK2mx6OC7Kx1e/ljvmRnZ19XzZ0bm4udOjQASpWrAgXL14sbNH/R2yqDr558yYkJydDTk4OXLlyBZYtWwbLly+HS5cuQVJSEgiBOoBPuNa7xxERyLDk2BRC9ons2ROZSdTYnesiWtebNZO+oB7ZICZGq4vo/SNGyDYbdD3Bwbj2FC+OJbx67GhfX+mj79yJ1UiEGTqmQQMZiK9UCXU+DwyRXoqLw2Ru6dJaHJQqJYewffgh2iqBgXL6OR0XGYnBLD4Yib5P5cra5A4leoklFxur7wfT/6GhkrnFyR9CaFnUek3lPelnPz/fAlsDLFmyBPz8/OCzzz77n9bBDz3ARcb1sWPHIDMzE7Zs2QJXr16Fq1evwsGDB6FNmzYQHBzgvJmVKqGwuqtTp+ctFgRTmzbaenmTCRXhmjVSqegpkIoVEZz8fPxzzGZkaEVHC2cT3scflw3wx43TGp6qAasCwcsLnUCzGQ1qKlck4NO5atdGAKs9M8gYCQzESPO//uX620REoKFdUPZ28mRcBITArB9RSek4crqJ/qz+hhTE4OclI0f93uoUKL3ssd5iUaVKlQIVMxnW33777f80qP/qTc+43rhxI2zevBkyMzPh1KlTcO3aNbh27ZoTJ6SQTCa5yL/3Hsq66hDyx889J7NVvOE7xyHPSj3zDH4eNYHmssQzInQ+/n+pUpLNkZYmnV0VJzRprUMHNAa4EcGNBtUQp+ukUcZ634VjKSpKe5zRiMEowp8eRqi8eO5cfH9kJDoQlN2j4KLemsSVtrq+6ilXOk/JkhiA12uYr64t/LcsqOdWTk4OtGvXDipVqlRkWP+Fm55xnZKSAseOHYP58+fDpk2bnDr46NGj0K5dO7BYTM77WL48ylHZsugw0qAQft9jY1E/0PhtkqfoaCkDJUvKCWuUGCpZEh1wMhppajDJDHf8LBZMWhGebDbM6FIj/DlzXBvCBgejAVuhAjrlZMiTPqPSnyVLJHuSf2aFCsjsVlsicH1G5R+Ef85ApeOI+TF+vMyW83Vv0iRssquHHT2M8aSA0aj9nya7cj3M309rAwUMVeObPsPXV8tkS0xMLFAHL1q0CHx9fWHatGlFOvgv3FQdvGfPHli/fj1s3boVMjIy4OTJk04d/Omnn0JAQICmlJUanuvJsJqI4MFe3jdz40Y5dZDaAZCzSc7egAFycil3Dn/9FZldQmixVKKE7AUrhAyc6QVlGzWSCSuS1xIlXMt/CBMOB+p03mSb3kv45C1BhEDc8NJhIfA70dqwdi22/HB3jXY7nuO552S7D3UKJV3fkiV4nN4UWPX70K7q8IKSyrSOVK1a9b6CW1euXIEuXbpAUlISnDt3rrDF/h+z5efnu/TaSktLg6NHj8KCBQtgw4YNcOXKFbh69Sp069bNKTdkQxOWSpRAW5WSk/y+FyuGulQtP4+MRBl79lkBGzbguchfo0DN6NGyj6xayk92Xr162JuakrwGA/rnFBirVQvb+XB80hpC12qzoc1Nr1utWiZ0hw6yFQjJb1IS4s9d71jyS/38JAubB52Dg1GPEbuRmJvqeaxWWWFRq5b0F/SOUxNWKn5HjJC9vimoxs+j+vL8N1MTyXy3WCxw5swZjxhesWIF+Pv7w8cff/w/r4MfeoCLpkSkpqbCvn37nEo5Ly9Pc5PWrFkDNWrUcCoSEqCICAQ4OYNk2JnNKFAffYQC37ixdtoKZW379UPmBo8Cm0xoNPNssJ5AtmyJCs5qRZAQs8xkwoizlxeyPhYskJF3PRaDqmxLlZI9v378EWmetDDR9zeZMMpst2NG7ZlntNNqyDCwWqUhQZMdVbA0bIiZJ7VvlxBYQrZihewbpnfNeo6yXvCM/ncXzLif3WQSEB1drMCSiIULF4Kvry9Mnz79fx7Uf/WmGte7du2CzMxMWLJkCVy8eBGuXr3qxK/VisHarCy8fzVqyAbKXl76GR2+9+8vjWg9OSNHmLKynPXRti06pEYj0ruprJHo0BSEeuEFaWSTvIaHy14gv/yCWTFVXlu2REOdGxdcUcbE4PHh4RgMIHxyh5oM6okTpTKl8gkyJBo2RAPE21uWRKvO/o8/ymlO/HcqVkzAjBnYy4NfHwW5IyLcO87cWODP6fXk0XOIPZWMTJ48uUDD+sknn4Ry5crB+fPnC1vk/1GbnnGdmpoKqampsHfvXrh69aqLDu7du7fTOFODwrwBKjfMzGYMWE2ejHJUrpw2OUWGc/fuyJCmwBAPtlDpcrdu2B+PMECGd5MmssFtUJDEosmEyRm7HYPCixZJQ5yu1csLA0yPPYb/N2qkZW7QOvH111hKSO9xx4hQdRphe+ZMLNVS32O3owGfmIjn9PJyDWrTZz3/PJZM8/IJ9fNUZjc9btZMjoB3p7PpeJq+rH4f1QAPDw+Dc+fOecTw8uXLwd/fH6ZMmVKkg//iTS/AlZGRAYsXL3bRwWXLlgUhUBdS4lRPl37xhRy4wjHdqxe2siBdxB0uvWFI/L2PP44tBbieUCsUvvhCTlTk/ebMZlkGNX06XocQEsf+/rLsyGLB71eihHZ9EQKvvVEjaXtyvFDSSAi8hpo1tborKAh7bhGTS2VWJSTIPj1ffCGrOHiQKjwcqyfef9/VRlB3mvSsrlPqcXolxKpeprVYL8BVo0aNAoNbFFwpU6YMnDlzprBF/h+16eng9PR0SE1NhV27dml0cNeuXf/PZpI44YHYEiVQlyQloZ7z9nZlMcfEoA5Qg11BQfoBFK6DixdHO5xkkp/bE9PQaET73m7HINY330h7k4LmFguSQWi6srr7+mrLiQnD3A+OjZUVDp98og3I8zVm0SJ8HBEhE2cmE57fxwffv2KFlsFK5+nWDX3k4sW1SSq9a9bbExK0PXa5nUSBM/pe6sRod4mHoKBAOHnypEcMr1mzBgICAmDSpElFOhgeQoCLA/vmzZuQnZ0NycnJHoNb169fh3feeccJqJdeQioiZwNxhUDKhRvapUohBdlqxd4WND5YCC3zgJrD09hTCnzFxOCkBjJMecCL+vIsWiSpjfzaKleWzq6XFypU1WCkJvTcQKDz0/jmsWNxWo3VKkEqBGashgxBY8JTsOnNN3EShaowiTXGe3VxR5ofm5Qkn6NpWaNHa532+wU9nUdlfgQFyTHWXEGHhoZCiRIlCgxuLVu2DPz8/ODTTz8tAvUD2O7evasZEpGRkQGZmZmQm5vrgt9SpUpqDNrmzTEopOJWlQViVvD3GgxIM9ZrNkvHLV8up5VxRdykCZYouJNDUjDDh8smk1zJNmuGj6dNE/DDD67n97SbTDJL5OeH5czqZ9Svr21cq2a9hEDlumKFNAY41iMjMVivh231Wtw5wvQ76zEoPTWPnzIFmaWqYa7udA/79u1bYHDrmWeegcTExCLD+gFsqg7etWsXJCcnw+7du93q4D59+mj069ChkimhylSdOhjQ4exKMkT/9S+U0SZNUF45c4LLqsWCrBBqwB4SgswJ3sOC61maOJqVhRgLCdGW2laogP+XLo3sxuho16TVa6/JvpuqnFM/zddew+9GTjZfo2hdoiAYX994YHDQILze0FCZkCOMNW3q2tuE2xkqnoKCPOOZs+fcHfOf7CEhIVC8ePECg1urV6+GgIAA+OCDD4p08APYuA6+dOkSzJ8/HzIyMiA3N1cT3Lp+/Tp4eZlc7n3NmtqhS6Rv9Hphqb1w+JAiPebSwoUyQav2YKVS9zFjtGU5tL/3Htq5Qmh71vj4YDUGHZeUJMuhTSZcLypVwkAYtRzQ06XE5CKWCC+9r10bdTB9J87cogBXRAQyQ8k+5S0PwsPxNyX802uebHJP+FaPV9ll7vSyp/PQmjd27NgCg1u9evWCUqVKwfHjxwtb3P9xm6qD9+zZA8nJyZCdne2ig/v06ePWrlLbSURGymmGq1ahfuFJGaMRdd8bb2h1s3peYv1HRcmyWgpOW60YtP7gA9Q/xPSi9yYkoD+qMhGTkjCI5G7YEskuJZyGDpVJZmKskc1RqxaeJzRU2rwOB9oI1Mfuu+9kawzSwULg2rRnD/5OSUlyOrTRiH48rR8bNyIDTm+N43hTyR9q8jkmxrNdzH0gVTdTqanaX81qNcOpU6c8YnjDhg0QHBwM7777bpEO/r/toQW48vLyYO3atbBw4ULIzMyErVu3woULF9zerAYNGrgIht2OBnNsrCtjiJzp5GQEAAkH0affeksbWFGbUD/5JNI3LRZUpESzNplk361OndBZ1Su9MxiwzJFfmxAyk60qJu5UDhzoamjT+WNiZNZ7zx7XJvVkdBMd+rvvcDHiZZp0zg4dZIN9DkCrFQ0gAjpRQe93J3qo+hyfzsafL1lSTmRyx/wSQkD79u1h/vz5sHnzZjh27Bhcu3bNRU5WrVoFAQEB8OGHHxaB+gFtZFxTI9s1a9bAggUL4PDhw3D16lWXe3LmzBl49dVXwcvLq8DGjtyYI4yojCaTSRvImTABDU86BzmTZjNSpClYrfe5v/ziyiIj2aOAWMmSMphMZVCeFJUQyB4NDMSA97Bh8nqNRnxeZWDosTYsFiy1mjRJNqmnayA8URkl0c75+5s3x+dsNtf+fyVLyvPxiU56SlaPsaIG0uLipOGiGgNk5BsMAvr37w8rVqyAPXv26K73V69ehZ49e0J8fDycPHmysEX9H7mRDr5+/TqsX78esrKyYMGCBbB582a3/ZR27twJVqvVRea9vDDgSpON6fmQEMRfgwbIsOZJIWThopHNs7PcmbRaEbtbt+J5aOohlykq6dcz1BMSkHVFzWx50KhECXSG1Sw3l1sKyOnhm7OsqlVDHcpL8AMDta0R9NY66gm0fTv+BlFRaLTTObh98OOPyADx9taf0KYa1HwvX16yb4SQzG6yG+gequ+jsgu1X9Fjjz3mLGM9evSo7nq/fv16CAoKgvfee69IBz+gjXTwqVOnICMjA1avXg2ZmZlw+PBhl4nSfn7e0K4d2oIcQ3pMIo4Bwsd332HvHv4cYfnpp/UnnumVq1eqJB9XqaJldqn4FQKTTTRJNC5OyiQFdsuUwf/prx6LOCFBMjH586R/ly8X8NNP2msnG7pCBWRu6/XOpPf/9hsyU2hdoCQPJbW8vTHw/v330pEOC3MtUaTreuYZ/TYBqi52VwWh6m8V2yaTgO7du8Py5cth9+7duuv9tWvXYMCAAVCiRAk4cuRIYYv6P3IjHXzjxg3YuHEjLFiwALKysmDTpk0uyYNJkyaBEMhOIp+sVCl5Tynwardre0cFBcnEz4YN+DpnMRsMKK92u9ZmJpmyWLACaetW1IUUKDOZUA8984xsL8DtUyFck6R+ftJG55VWNhsG4gij/H3du7tWJXD80aCXvXvRP+dtewwGtI3Jhn/1VTnxmT6HqrC2bkXs2u2u/aupb9f97Hq9s4TAIBolyPlO6wvXy0JIW8Vq1e+B5u1tg19//dWjDt68eTOEhobCmDFjinQw2x5KgCsnJweWLFkCK1euhJycHDh8+DCsXLkSUlJSYMmSJbBr1y7nwpuXlwc7duyAJk2agBAIBmI/8GCIry/W5aqUaZp8YjCgEFOfG05xLF4cn2vfHhuscyqmxYI9bzZvRjCWKiV7atjtqKTJSOejV41GXGwmT8bjKNr8xBMyM8RHFO/cKSnYerW8r76qzVYLge9Xp8GoznLr1hiF1jMkDAZXx9diwQg6nzSXkKDt+0PRdB8feS69ciS9IJUawGrb1rXhsN61BgcHwenTp+H48eOwZcsWWLBgAaSlpcHatWvh4MGDcPToUVi3bh0EBgbCxIkTi0D9ALc7d+7A/v37IS0tDQ4dOgQ5OTmwZcsWmD9/PqSnp8P69evhyJEjzoX3/PnzsHDhQlizZg2cO3cOKleuDAaDwUXGqf9V166StciV3u+/y8AvN2bbtpVNcNWdl+3qGYQJCXK61E8/6bO8Bg6UrLP4eG2jWDqGjHWzWWtUBgfjulShAir5N9+U340CS6QY27bVBpOpRGPYMMxk6eGJruFf/0JFr8fy8PFBQ4V6mHHKMz/W3x9fS0zEngFCyOQAOTR8moseO0wP67QPGjQILl68CPv27YNVq1ZBSkoKLFq0CLZv3w779++HnJwc6NevH8TFxcGxY8cKW8z/0Vtubq6zke3ly5fhyJEjznuyZMkS2Llzp9PQzsvLg127dsHjjz8OQmCvGOonwRM7DgcyM9Qpe35+0oCLiJBGMS9HLFYM5VwtoaCEU7NmAtavl84h19/+/hhQ4uVPXBajotBJp2AwvU6fwQNWvFEsv47OnbG5vIods1myqEqUQAYHlWFwR5r2sWO1pYb0PcqUQduG2Cvq9ffvr9/Ymj5HjylSsaIMiOk13nfXrFjV3XK6rT+cOHFCo4NTU1NhzZo1cODAATh69Chs2rQJQkJC4O233y7SwQ9wu3v3Lhw8eBDS0tLgwIEDkJubC1u3bnXaRevWrXMmnHx8HCAEBpisVnQcZ8+WZb08uNuoEbIvVDtNb8gIlfWTg0vP9+olMc4DqTNnohwLgbYrT+QIgcEiYpCpOrtPH2wgLwQmbipVkvYiTUzr2xcDSX5+2qStwYDXU6YMrkNvv63tp0PJ1fLl0c42GPD7qj00hUCMDx2qDRSQDf3WWwL27UNcVaoknXaTCdmdnIGmtzbwNYdfOyW01HuiJqY5w6NFC23iSggBPXv2hJkzZ8KlS5c0OnjhwoWwbds2pw4eMmQIxMTEwKFDhwpbzP/R25UrV2D58uWwbNkyuHTpEhw9ehRWr14NKSkpsHjxYsjOzoZz587B999/77QX+bAgVUfZbJg0atHCFT/U67h2bRwUUa4cHs/7R9GU3mbNtFU5eqx+0h+0dvj54fmaNMGETEKCTK7SWjFzJhJCVEwFB0usrF+PgW2uA+lYmmjeqRP20OLBdIsF7dbduzGQbDBo7fAmTWSbDtVepe9QogRWSJC/rJes3bZNTnblhA3Cp6pTmzeXONfz6/US2/x/fo12uxeMGTMGjh49CidOnICtW7dCVlYWpKamwurVq2H//v1w9OhR2LZtG0RERMCoUaPg3r17hS3mf6vtgQe4bt68CZmZmbB582ZnI1uiYubm5sLBgwedIF+0aBEsWrQIMjMzYcCAASAEGmxBQQicdetQgaqlTP7+6EiqzdTJKWveHDM3VqukOFLJwJAhUnDV5rAWCxoAa9fKKCsHua8vLi58yhNdE2V2v/gCP0PN4Pj5YQZXT+FxQDRrJhlWfOwwB21QEDr8vEGvEFqg9euHwQLel4sWycxMOVmyWTPp1LoLYqm12XqBM70ss7oI6S0qFosBAgL8XbIaeXl5cPbsWdi5cyekpKSA2WyG4OBgaNGiBezdu/dBi/H/9LZnzx7IzMzUNLKle3L69GnYvn27c+Fdvnw5pKWlwZYtW1zKnrKzs6F9+/YghFYOmjbFnjNCoEFctqyUCWq0KYQsG+Lv5fL++eeSbUXlDCRfFNTiAaXixWVTypkzESNqGVOXLliKrCojkn2bDZknGzagY8rfb7EIGDlSKnBVeXp56U8w5OsIX1tmz8a1TDW0hUBn3tsbv1PVqvJ7Oxy4hgYGavsNqZ+p50RbrQJSUyX9nB9TrZp7GrcQAoYNG6Zbinj48GHYsGEDdOrUCfz8/MDHxwemTZsGeXl5hS3m/9jt9u3bMH/+fNi4caNbHbxmzRpITU2FhQsXwuLFiyEjIwOGDx8OQqBeDQ3F+71+vWwXwNd/kq2oKK1RbjJpZZzKD0l2ScYTEuQwBz0Kf+XKiJcSJbRtAXx8UE7r1MGgLzV957IYEIClUImJrqytyEjXBvJkR9CxDRviZzdrhuWG3BHgJYPq2iEEOr7vvKPPcKY1gBjQzzyDz+mxM2kKHZ/Cytch0tcjR2qfp4y9u+vT08H4PteSiLy8PDh37pyzB6PVaoXg4GBo3Lgx7Nq1q7DF/B+97d+/HzIyMuDEiRMuOvjMmTOwY8cOWLhwIaSmpsIvv/wCLVq0gJCQIOd9TUiQ9pzFYtLYYhzLJO8k19ypmzkTy9NVHdKgAQbR9HQY/f3kEwFTp+JjCsTYbNoG0x98ICe2cjnt0AH72lLgqH59ed5y5eS1hofjd+J2sMmE+ve111zlPiAAXzMaMZi9Z4+WmUzX2KOHZH2//ba2r6DNhr/dk08KyM6WOOUBbUoMc4eY3t+ypatuVfXxd9/JdUc9zl3QTAgBv/32m0cd3LVrV/D19QW73Q6ffvopXLt2rbDF/B+73blzB7KysmD9+vXOZvJcBx86dAjWrl3r1MGjRo2CxMREsNkQq506dXI2n1+zBllaHCdITCgLoaGhEBYmXycdQ5ijtT44WEu8GDgQ/69XDxOvJK8kp5UqyRLE6GjJTjSbMZgUHy/lm0gmXBZ9feXE8HLl5OsOh7aiggLrXGdVq4a2vdrmg+SfEmo7dshEracKiSef1JIrSAc7HBjs4sl2u92VjUU6WK+Rvh5DXa+Pp14A0WTSEksCAwNc8Mt1cFZWFnh5eUFISAjUrVsXtm/fXpRkUraH0mT+xIkTuo1s+X7+/HnIyspyNt5buHAhTJgwAWrWrAlms9EpKD4+GNDasEH2peKLPBnOlStj7y6V4tikCbKziL3ABf3nn9FAb9ECo8ZcoXCFZTYj2Ig+SiUGsbEYLFJHttLucGDjSXK+3ZVvkdPNs7GJicgOo14AqjL093ffBI/KL0aOlOPZqdSDl3kJgU36DxzAc0mDSJ5LpUfz5+hv1ar619G2raSW6n0HIQTs3bvXY53x9evXYevWrVCyZElo27YttGnTBho3bvygxfh/esvNzXVpZKu38O7cuROSk5Nh/vz5zizDwYMHITc3V3OswYCySCwp1bimgJC6k3x99500WDn2a9eWTrK7/f33ZYkBVzqhoTI49u9/S4aY6vg1b47OsuqAxsVJtomvr7aRJJ3HbMY+I0Lgd+zYkRSZ++vla0jHjtKBVX8THghYvx4VtdEolateqYqa8RXClXpOn8H7K+gZ4zyA/+6773rE77Vr12DYsGGQkJAAffv2hfj4eEhLSytsMf/Hbvn5+XDy5MkCdfDFixdh4cKFTh2clZUF//73v6F27dpOHWyzoUFpt6MObtdODl0hnfXii2jkJiainAcFofz4+6Ps1a2LWeWEBK281a8vHcYmTWQ5PZfbKlUw4BwYiOX7nAFSu7Ys5ahVS1/PeHvLYHf//rIskTeq/eorHPRCzinpwNKlsXw4OBiN9FGj8BooWaaHX96Ly5MTy7E8cSIyQ/i0Sj1Glh7+C9r5WqMyqOlxQIBfgf0+srOzoXTp0tC6dWto164d1KlTp7DF/B+9XblyBS5cuFCgDt61axekpKTA/PnzISUlBWbPng29e/eG6Ohi/6ebfODw4cNgMuGwFRpoxBM/desis4lkhLMf+bRssvN4EIzjdcQIDNbqsSyFQPxzXRMUhDaiEKhjqWcYT6g2aoTMbpsNdS6v4CBfoHRpDDbVrevKdOSP4+O1wbCQEGlPVKsmAwDcxmjb1rVBNk9Icbz7+Eh2mcqK4b4Ft6NJZ+vpYHdrgBCSrU3X+vrrr3vEb15eHowaNQri4+Ohb9++kJCQAL/99lthi/k/diMdfO3aNY8YvnTpEixevBjS09MhLS0NFixYACtWrIBTp07Biy++6LzHxYtLGSlRogS0bdsWrl27BsWKFQNvb2Qd1q6tJXtwmaleHXWwl5fUuWQT9uiBeo38RNKN9P5y5bDvXnCwlHGuX+vVcyU88H3iRNzpmrj807k++wyD2qruo93XF3+DJk20LHBqCm8yYZWFOhE2KgqD2e6GXen1leVljnr45buf3/336vVkC/j6OuDYsWMeMbxnzx4oU6YMtGjRAjp06ABVqlQpbDH/220PPMA1Y8YMqFOnDkyYMAH27NmjC+xz587BggULYP369c4M8+HDh2H9+tzoWp4AAHkkSURBVPVOkH/yySfQoEEDMJtNTmHz8sKFfcMGSQ0kp83PD5tj8hplDnautKgsgh77+GDZFPW1UhWNyYQgT09Hh1XbGF2COzoa6Zt6/QksFixPaNnS1cik7zBunIBly1xBR1H02Fg0Ct55R0bH6b1jx8oR38Sw4iWP4eEIdN6rhD5DbW5JCxFfLMigp9Gr6m/MlTy/bj7q1RXUPm4Xftp37NgBUVFR8MorrzjpmEVR6we35efnQ/Xq1aFnz54wd+5cyMnJ0TWWtm/fDunp6XD8+HFnwHrXrl2wZMkSSElJgVWrVjkp8WYzlityfDkcWFbBWUYGg8zwjh6tZWBQCZTBgMqaZJ9jnM49fToqe84MUfEYHS1f9/XFALeKAdWZrF4dWSOqQrNYMACuMhg5Ftq3F/Dtt1osqDX9RiNivEsXbe8h/v2MRmS/vfOO1oihYAIpfbW8QQ+r/41SpsddunS5L8M6PDxcw7wswvCD237++WeoWbMm/Otf/4Jdu3bprrGUYFq7dq1TBx85cgQ2bNgA6enpMH/+fJgyZQo0atQILBaTRo9QouTxxx+H8PBwp5w5HAKeew6zv3rBHM4gCQmRwS5ijhArsXlzNHhVFnSZMsgwbNzYlYXUsyeORQ8JwVJAKrHk1zF6NGaGOZ7oPOQcvP46NpnnNoIQeN4xY/Az9AxaygJ/+KGA1atdS6cpKBYXh7/DTz/h96Dr4I4yn3xKw2DoGkgHu8Ow3lRU2qlcRfucxbmGu9t3794NxYsXhyFDhhTp4Ie01atXD7p16wa//fYbXL58WXddzc7OhvT0dKdjRDp46dKlkJKSAkuXLoV9+/bB5cuXwWo1uujgkJAQqFy5Mvj4eGl0cIMGcnqhimEhkNX1wQdSPun1cuUk++H112VCmEqaSfaGDJHtCuicPj5aHUwljjzgW6kSJrsomE7Tw4VAW5VYJSaT7N/Hr791a9nzq1kzZIjzYJzRiPjctUueWw/rZjOyL9u1k2wssxlxm5yMpYp6GKTpaaT/eQ9AYlDz34Q+q1UrWeLFy7bomDZt2hSog9966y0ICQmB7Oxsp4wVYfjBbXPnzoVq1arBuHHjYMeOHbo6+MKFC7Bo0SJYvXq1k+V19OhR2Lhxo1MHT506FZo0aQJ2uxVMJgEff/yx5hxfffWVRgebTPq9kEl2jEZMGq1ZI3tz8coff38s16cgGNeVQqCdO28eVlYFB+NaQbYmJVN8fVEHli7tKstdu+LUUiGQBVqunMQDJ3PEx0v7nj4/IABLNHv31scXNdwXAj+HD6ngup4msc6aJdsakK9LvgX/vfjaRXqdbH1+PO388/Sqnyh+YDAIiIiIgNKlS8Mff/zhEcMHDhyAuLg46N+/f5EO9rA98ADXmTNnnIax2WyG6tWrw7vvvgvZ2dnOxvPp6enO//Wy/QRymt72xRdfQPPmzZ2GNpVBYE8OI0RHR4PBYNAIU2AgGtt6SsNkwozv1KkyQKRmS1q3xolNajmiHr2f76VLI/i9vHBKA5Ul6tXkCoGKsk4d+XqFCq4LFJ/2YrNhlpxYL9wI4M7+888jhdNmQ8PaU28d9ffR+37R0a6Lid73L1tWGvt6QS3afXx84MyZMwUa1jExMTBs2LCiWuOHtOXn58PSpUth8ODBEBUVBf7+/vDss8/C7Nmz4dKlS3D27FnIyMiArKwstw2rL168CLt374Zly5ZBSkoKZGZmwgsvvAClSpUCk0lAxYoVYc+ePU5DeNw4lAnez6N6ddkvq2dPbbCVZOqjjwR8/LGrzMbHS1bkuHFScfJzDBmCCk4IDAhx55twQqwztQSC465YMewfEhyMr/Gg1caNshTYXTaWsyrp8wMD3WeFDAZcY15/XZZwEs54eYraz8do1I6LpsdWq+tnffYZslrUbLh67WPGjCnQsH7zzTchJCQEdu7cWdii/T+znTt3Dj7//HNo2rQpmM1mqFKlCowdOxa2b98OeXl5sH79ekhPT3f+r6eDjx07Bps2bXLq4K+//hpatGgBDocXWCxGmDdvniZh1b17d4iIiHAGsw0GATabDerW1ZYn0mvkoJUtizJot0uj0WZD5oTdjiyvYcO0SR8ul5S84nIaFyeDvJs3Y7m/qosMBjmNtWpVOTFYCDS6rVbUzVlZiG2eweXBY3Js+feLjpbHtmiB5woOluUMBgMGsTk7Uy+gznezWTtenEos3NkhfKe1TS+4deLECY8Y3r9/P5QoUQIGDhxYpIMf0pafnw/Lly+HoUOHQnR0NPj7+8PTTz8Nv/zyC1y4cAHOnz8PGRkZsGDBAjh79qxbHbxnzx5Yvny5k+H10ksvQZkyZf6vvClB06z+m2++cepgvQTMm2+iLcvtUD3dRI9LltSyq1XGIx3bu7dkV5AupFJgYmsGBrrarbGxaL+XLIlOOTnKhKWwMHn97dvj+sHt5OrVBXz6KR7TuDFWf3DmRni4ZGh17KgN5JlM6CS/9poM1Knf35OP4O5Y/hxdO7UfoDVPZcC88sorBerg8ePHQ2BgIGzZsqWwRft/Zrt48SJ88cUX8Nhjj4HFYoGKFSvCW2+95WzlsWHDBsjIyICtW7e61cHHjx+HTZs2QWZmJmRkZMDGjRvdDt9au3YtxMXFgZeXxSkbH3zwAUREREC1alomL8mQwYD+Jk0NjoiQZYHUDoCGKAwf7qpnQ0MxUTNwoGzqTq8VLy7Z1VlZ2G6H5Jx64vXqhexMuiYikwgh228YjXge+mxun3M74O23tcNWqJRRCAzCUck2x+WTT2r7V3P8hYUhaaRcOfma2eyZqfaf7gaDgCpVqnjE7/Xr1+GPP/6A+Ph46NmzJ/z555+FLdp/6+2BB7hoy8/PhzNnzsC0adP+LzhlgYSEBPD29oZ58+YVyNzhIN+8ebMT5N9++y20adMGHA4v8PKywPr1653H//7772AymcDfXxqTFAzr0UPby4eEWQ0O8ce8ZKBOHcwAOxxaA52a2pMDyY3byEiZeVm7Vhq03Djo0kVASgo+rlIFFauqxBo0wCb1lBlXe/a88AJmlonWTK/TlI2GDQXs348LChnn9BnUF8hg0O8PpO600OgZ4e3by4VUzRaTwrZYTDBz5swCg1v79u2D2NhYGDRo0EM1rKdOnQoVKlQAX19f8PX1hdq1a0NmZqbz9Zs3b8LgwYMhKCgIHA4HdOrUCc6ePfvQru9hbn/++SesXLkSXnzxRShevDg4HA4oXrw4tGrVqsCSFtovXboEe/fuhRUrVkBKSgosW7YMdu/eDadOnXI6wyQbo0ej0cmfEwKV4+OP4+MJE7TMB44VUnC8j1dMDCoyLqcq3bhbN2R98GMIJw0aoCz37InlHfHxWowFBmIp8XPPuTrRVqvWAK5WTasg6TrKlcPzlCmDGSrKfJEDW7Kktk+Ays6MisLyKT0G6v3seuUTev2L+Hv69u1boGE9btw4CAoKgm3btj1UuS3CMG75+flw/vx5+Oqrr6Bly5ZgtVqhTJky4OXlBbNmzbpvHXzixAnYsmWLxtA+evSorqGdk5MDo0ePhkmTJkFAQIBTdvz8MGPrzkAsX17A4sWYcPL1lfg3mxHXvHePKrv+/sjMatHC9fXwcImdjAw5lpzLc4cOmJXWY0wWLy4bagcH4//8OD8/DJQRS6VtW23PHsrW1qqFZYjEvOYBdaMRE2rDhknMkR7VY13y51TnuFw517VR1dUGgwAfHwfs27fP470/dOgQlC5dGvr06fNQDesi/Mrt3r17sGbNGnj55ZchLi4OHA4HxMbGQrNmzQoMTtJ++fJl2Ldvn3PQ09KlS2HXrl2aKbeHDh0CIdCRzczUyqAQmEyhEvsBA2SjZ7UPLiWWQkK0NjYlSD/+GINJXB45noxGLDWsUEFbWm+1Iqtq6lRXdrOfH5YS16uHz7/4okxmUbCMbNtq1bTBLgpWvfee/vohBOphvXVLrWR46SV0iqlnj6ozhZDXYbNhAI8HBfTs7+Rk2cuMn+/ZZ5/V7bml6mBahzds2PBQ5bYIw7jl5+fDxYsXYcaMGfD444+DzWaD0qVLg5eXF3z//fe6OlTvPp48eVIz6GnDhg2aQU98X7duHaxZswauX78OISEhTtnx8UE/kdvWKkN60SIMXIWFSZ1rMmGpMLW70bMJeVUTsaTo3KGhUu+NGiXZ1Xp9s8xmHILWpo223RBVUW3ciAkrVzxgOxIhsH9d9+5a9if17StdGpmi6hpiNmuZpuSjq/6yOxvaUyI4JkbbxsdgQNw7HHbYvXu3x3t/5MgRSExMhK5du8Ldu3cfmtw+qvh9aAEuvuXn58OgQYPA19cXmjVrBlarFZKSkmD06NGwcePG/wjkNEnGHcijoqKc0xIoa8qpwXY7GpczZ7oKIu3x8ViKRH11CLT16klaMzcy6bG3NyojanzHF5DAQHSW6fn69bURayGwvvjnn10nRdIiUaqUa98tAiV9zlNP6TfY9PbWGuqDB+MCxqmXNWtqSzs440UFs1peZTCgkZCcLK+HgMyPCwoKLPBeHzp0CEqVKgX9+vV76BHr1NRUyMjIgAMHDsD+/fvh9ddfB4vF4myqO2jQIIiJiYElS5bA5s2boXbt2lC3bt2Heo2Fse3evRvCw8OhfPnyULp0abDb7dCxY0eYOXOm2yyynvO7f/9+53SfrKwseOutt6BChQpOHJDjN3q0ZD/x3lFlykjmhaqgaX/9dSwVdqd8hEB8d+6sz8hs1047DYZkuWpVxDEZzcWKue+7R+UZHB9+flqWGmWZCIOBgRjgoklUpHjVa3/lFQFbtkh2Ju8BSL2PuJK22bBPFw3s4OfiPQ3UXT3WZDKB2WyA5557rsC1esKECRAYGAgbN2586LJahGHXLT8/H15++WVwOBzQtGlTsNlsULZsWRg1ahSsW7fuvnXwqVOnNNPc1q9f75zmph6/Z88ecDgc4O8v5Z4yw8Si+Owz18xqfDwGo0JCZMCL3qs61Hr4djgwGUTrBb3u7y8Dzr//LtmfeuuD1YpOPJU5CIHY4tPXDAaZjaa9RQsBM2Ygpjp1wsA3veblJfuZZWfLqcr8HOq18O/eurVr82C+vuixuvR0sMlkhCNHjni814cPH4ayZctCt27dinTw32Q7cOAAREVFQVJSEpQtWxa8vb2hXbt28PXXX8Pp06fvK2Cdk5MDBw4ccJnmdvLkSbBYZO9bkpXy5ctDQECABm+lSskm80ajfmBm5EjEthAYsCK5DA6W5Y8TJ2JyiJ4n+W/ZEoNsNhuyr2vXljq4UiW8vvr1cQhLRIQrA/rtt2W7jqFDZYNswhO16ahQAbHIEzxGI+pUSiZ/8IEMitM1UuCvRQtcHyjh5XDgd6PAAMcefQb/nMBA10mOamsS0t/q7/vBBx8UuFZ//PHH4OfnB2vWrHnoslqEYdctPz8fXn/9dbDb7dC0aVPw9vaG0qVLwyuvvAKrV6++bx18+vRp2LZtG2RlZTknqv7xxx8aRibtBw8eBD8/P2cPK5IrhwMTv2rClR7HxgpIS0Pf2W6XhA5eAhkdjTqU8MRl+JNPMNirtgnx9dUyrbR6CbFUuzaWIjsciH9u7wcGyuCZzSYDYdyGbdIEKxCsViRdDB4sr41sd84A51Oh6XlKWgsh1ze+BvJWAJ07Y1COM0hfeUVbvshbJNlsFnA4vODQoUMe7/Xx48ehQoUK8OSTT8KdO3ceqqw+qvgtlAAXAMCPP/4Ihw8fhvz8fMjJyYHvvvsOOnToAN7e3hAfH///BXKa5sZBXr9+fU1Ws0QJjEo/9pg2ahsXh0LXqBECWJ1sIhv6ISh9fCTTibMrKMIbFeVahkSlQGoPApMJFbNqHKuOZrVq+DnFi6PSJEXKDdatW5E+zoHIa4ebNnU1cMnZprKP557TBt+40ue/Sa1ayBbji53e4sg/h//v5+dbYNbxjz/+gDJlykCPHj3+NnTMwMBA+PrrryE3NxcsFoumOefevXtBCAHr1q0rxCt88Nvly5fhs88+g/z8fLh37x5s2bIFRo8eDWXLlgUvLy9o06YNTJ8+HU6dOnVfhrY6zS0rKwsmTJgAVatWdWm0PHKkDFipjm1MDD7+6CNUdnrO6oABWvlGWZTMLl9fzKbyc3MsRkW5MhK9vNBA5opLLZ3ix/ftKw1l6s1ltSJ7bOtWWRrCFbHdjoG+du2kEqfXw8MRv82bIzuze3f839tbS+VWFbcnfKqlTC+9JIPt2Fg85L7W5smTJ4O/vz+sXbu2sMXWuRVhGGDWrFmwf/9+AMBBEj/++CN06tQJ7HY7lCxZEl5++WVYsWLFfetgdZrb2rVr4dChQxpDu3jx4hAVhWUK1LOG9BH1lyE9yEtxSCZjYjAY1aqVtjSQ2MsOBzqkM2boD1HgTjTXU9TrS09/kaGdmIhTkcPCMPPbrx8G3UwmWZK8cSMa0PRe3tKgYkVcl/z8MDHGp8GZTJLVMncunkePEaPaJKpDrGJZzYqrxzkc9gKDW8eOHYNy5cpBly5dHmrW2NNWhF9sPP/JJ5/AvXv34N69e7B9+3Z48803ISkpCaxWK7Ru3RqmTZsGJ06cuG8dzKe5LViwAN5//32oWbMmWCwm6N69u+b4yZMnQ2BgoIsOJsf5/fdllQCXucGDZQNpLqu+vugcupNhiwWd3d9/l711+WeXLi0rJFq0QDtbZWcPGYKsbyGQhd2okXYNUG1wmsrI3z9pkj6mqJSRv99dsogYLt7eiPHu3bW/g8rQpMbzI0bI5ABd19ChQwtcmz///HPw9fWF5cuXF7bYOrciDAP8/vvvsHv3bgAAuHr1Kvzyyy/QpUsX8PHxgRIlSsCwYcNg6dKl962Dz549Czt27IBFixZBamoqrFmzxmXQU+nSpSEsDIPGsbGoj4jIYDRSX2UjJCQg+1EtRYyIEPDbbxi8VUuFy5eXySRkBmvfa7Gg3hw7Fv9PTJQBW9UvrVZNlgLSOlCmDJJGWrVytVdNJtT9pDOpZQfhxGzG5z78EPV1hQpI/oiLw/fSdVB/33790F+mz6FqLO4Hu2Nx6T3P38OnPU+bNq3Ae3vy5EmoUqUKtG/fHm7fvl3IUovbo4DfQgtwudsI5J07dwaHwwElSpSAF198EZYtW/YfgTw7O9sJ8pSUFOjTpw84HA5NVBmzTX4wcOBAKFkyTiOADgcqlZo1BXz/vSslOSoK2VXt22sNbQJU5crahvcc4AMGyFpeIZBlRYqZjjUYBLz1FoKRTzQkoH30kZz0xnerVZ77558xmEd9SXi2KD4eg3VBQbjY8J5aDoeWjk7v1Qta6QXLqGRq9GhJUVcDAlarGQ4fPuzxXh49ehSSkpLg6aef/lsY1n/++Sf88ssvYLVaYffu3bBkyRIQQkBOTo7muOLFi8OHH35YOBdZyFt+fj5kZ2c7mVhWqxVatGgBU6dOhePHj9+XoX3lyhX4448/YN26dZCWlgZZWVnw0Ucf/d80N1fHrVq1aiAEZkgIJzQNVQjEkdr8kWSxXz80cgkXQqBS/uorlO3XXsNm8HxaDL23UiXESunS6KxTCTMFsGl0MTm8nOXYtauW3ci/Ey+DCg3VjjGm441G7PUlBDbIpRIRMpBjY2UAjMqo6XP69JGBQE975craxrdCaB2AAQMGFLgWf/rpp+Dr6wsrVqwobNEEgCIM38927do1+PXXX+Hpp58GX19fKF68OAwdOhQWL16sy8zSu+/nzp2D7OxsWLx4MaSkpMDq1avhwIED0LJlS01Qx2wW4OfnAx06dAAvLy9Nhtdux6ATZyyoZRDuZDc+HmXcZsMGt3XquC8boAEU/PWAANnEvXx5rUEqBDqykyfj+sHLMYTQXu833+DODXUhMBP+7rvoZOtdE5Vw8HWDHAZ6nhgk6qAXX1+VVW7Q/H4yYGCCAwcOeLyXJ06cgEqVKkHHjh3/FoZ1EX4L3vLz82H37t3wzjvvQOXKlcFisUDz5s3h008/haNHj96XDqZBT6SDFyxYAFu3bnWbsBo3btz/6WJpK4eHa/tueXnplyHRMdHRrr0vzWYs1R01yrXCQQi0df38UE9ynda+PSaRzGZsB9Kwofa8QmAwbd48vI727bGcmFqM0PUlJAjYswfZknrrz+TJeNwzz6BeVZPjXbsic1OtcFB/g/tJONHOWaSNGjUqcC2ePn06+Pj4wJIlSwpbNAGgCMP3s12/fh3mzJkDzz77LPj7+0N0dDQMHjwYsrKy7ksHX7+OvTB37tzpMuipY8eOLr2zkpOx5JcnnIxGTMJUqOC+PQXZmCEh6EtqfTxZPTB3LjI9yXYlFuVLL2HfLn5eCiD5+8sS46lTXYNp/DqoFzX19qMgkhD43u+/l34wvYf6avXrp48zqnKi/+naSQfzeAFvE8LXO4MB/X06lphesnWPucCKl9OnT0P16tWhVatWcOvWrcIWzUcKv3+7ABff8vLy4Pfff4euXbuCn58fxMTEwJAhQ2DhwoX3DXJ1mltmZiY8//zzEBoaCsWKFYNz5845j83Ozga73Q5hYdj/ioS6Th0ES6VK2GRaVdS8b5fDoWWOWCwYNeblfaoye+452VyPZ6SNRmRJWa1YIrV0KRre6vsDA+Xo8wYNJLDo/XRcgwZ4PT4+2qzV6NFYsywEToaiTLbe9EdeYvndd5iV5j0M1J3T1WnhslgsBY5AJTpmp06dHjodU92ys7PB4XD8Xz83f8jIyAAAgJ9++gmsVqvL8TVq1IBRo0Y97Mv82235+fmwd+9e+Ne//vV/TCwzNGnSBD755BM4fPjwfRva6jS3adOmQZMmTcDLywZvvfUWLFu2DITA7CoFjXiWJTgYyxyEwIAxDWRwZ2irJX7NmmmbtKsObfHiGBB75hlX5mdQkHYaTMWKrspcCAyQWa24VqhlUDYbYnrfPlkqydkp9erhNCjKwtGaRE4uTbJSGZhCSMObK353mOf/Dx8+vEDD+osvvgAfHx9YunRpYYtiEYb/P7fr16/DvHnzoHv37hAQEABRUVEwaNAgmD9/vm4JhCcdTNPcMjMzYejQoRAeHg4REeGa/ouHDh2CwMBACArCoDQxuChoXKYMlhMTe5rLOZd93vsyOlrqR3U3mdDwpp5+HJv018cHDXKjUfbEdGdoE2uE461GDXktNDRG7XPn54cDMOrXd8Wd2leL/lLTXtq5Y86fr1KlCowaNQqCg4NZmZO1wJKIU6dOQdWqVeHxxx8vdMO6CL//f1t+fj4cOHAA3nvvPahRowaYzWZo1KgRfPjhh3Do0KH71sHqNLctW7bAiRMnnEnnbdu2gRBYTk8Oa1iYlHOTCZMl1C9Hb3/ySZwarseebNJE9r6kycVczqOikF1JzaN5QjogAIPYqs7nOrhhQ2SFlyrlip/AQG3TelUXGgxoZ3/xBep3Vc/q2cbEEvH1lY2teZ9BPRyr119Qa4Dr16/Dt99+Cw6HA+bPn1/YoliE4f/P7ebNm5Camgq9evWCwMBAiIiIgAEDBkBGRoaGmeVpv3DhgmbQ0/z58+HFF1+EwMBAjc9pNuM0+4iICLDZpN6lUkQ/Px8YM2aMizz6+2MQmg+IeOIJibGoKNn78sUXZXsMVadR0rZlS9SbpNurVEE7uGNHLEWmoQ884f3229I+fuEFtKUJi9Wq4bFDhiBzLSDA9fN9fNB3FwK/Cz2mgBbZEJ5YW7ycW31Nfc5iMcOePXs83rezZ89CnTp1oFmzZnDjxo1ClcNHEb9/6wAX327cuAEpKSkuIM/MzLxvQ1ud5rZixQrYu3cvXLp0Cfbv3w9paWkQFhYGkZECfvkFQWm3a2tuq1ZFMJcuLamOBoOW3jh1KrJCTCZkZxHlODRUv5RANWCpX0DZsq7TnMhoIIDy8kMhsHzr7bclIKmZHilQqkPesUP2FOPv798fmV8qMN1NfeM9yPSyc9xQQTaJd4GN9E6dOgVVqlSBtm3b/i2yxrdv34aDBw/C5s2b4bXXXoOQkBDYvXv33xrYf7ctPz8fDh06BO+//z7UqlULTCYTNGjQAD744AM4cODAfTe4Vqe5bdq0CXbu3Ane3lYXBdK/f38oU6YMGI1Gpzz6+cls7MSJ2CdOxWPbtgK+/trV0aXdZsPsb3q6K7ODJrbS+8qV0zK0aC358Udp2HIKdYUKGCwLC0Nju18/mVGz22Xma+FCVPSoKOW1GwzI/pg6Vdu7T8Wj0SjLI/jzepPYOEuzd+/e8OuvvxYY3Prmm2/A4XDAggULClv0AKAIw3/FdvPmTUhPT4e+fftCcHAwhIWFQd++fSEtLe2+DW11mtvy5cthz549cPHiRTh48CCkpqZCdHS0cyITBY05BitVkv0iTSZ0XjkGrVbs98N7X6pBMNobNpRlRdwxffppPGejRtoyJi8vvJ7q1dFQplIpHlwymyW7unZtOXWR7IO4OPw/OloG6HgTW7qG335DJ0EIrR7Xw7Ne8Fqywcpr1tCZM2cWWJZ45swZqFWrFjz22GNw8+bNwha9Ivz+BVt+fj4cOXIEPvjgA6hbty6YTCaoW7cuvP/++7Bv377/aNATn+a2adMm2L9/P9jtNo0M9uwpJxPXrStxxhOn776L1Qh6dnDr1tLh5c2da9WSk1Xnz5cT1LkO++ADtL25XqbzWiw4RIb38lGDUJUrI25DQ1EnWyxSZ5L+FALZWaqOJObX55/Lck1364+efcF3Slrx8z/99NPw888/F3ivfvrpJ7Db7ZCamlrYogcARRj+K7bbt2/DggULoH///hAaGgohISHQq1cvSE5OhpycnPvSweqgp6ysLHj11VehePHiEB4eBrNmzYK4uDgICEDmU6dOnG3tC9evX4dixYpBQoKA5ctlGaIamP7kEyRMqDIdFIQBa/pfHaAiBCacUlK0eKPzly2LbE0qpySGGX//kCEy0E7nJpzFx8syX17VxINT3boh6USvFJEnsXh7BXd+cEyMUIKIRvjuu+8KTDCdP38eGjRoAI0aNYK8vLzCFr1HEr+PTICLb7dv34b58+dD//79ISQkBEJDQ6F3796QkpLy/wXy5ORkSE5Ohs2bN0OHDh3AYpGU/tBQLFGiml81uJOQICPJKrPLZMIgGNUbU5meypb49ls0qLniNBqx/vf337XjxOk9NhuCPywMg1WtWmnfLwTW9aenS6f98cfl6zExwtnsd8sWydpSwfnyy3gsj06r09nUoB0ZE7wnEp674Ga2Z86cgZo1a0LLli3/Foa13tasWTMYOHDg35qa+Xfe8vPz4ejRo/Dhhx9C/fr1wWQyQe3ateG9996DPXv2/MfT3DIyMiA5ORm+/PJLaN++Pfj4+MCkSZM0x8+fP98p98SystsRF0IIeOcdAdOmaTFAeGvaVDs2nNaBypXRWeVKUjVcJ06UAeu+fRGvtBYQs2rCBMSpSsGOiEDj//nnXZ1Wi0X2Efv3v5FNabFoy5nU9YrWHd4oXzU++HOqwyGEgI8//rjAe/PDDz+A3W6H9PT0whY1t1sRhv+77c6dO7Bw4UJ47rnnIDw8HIKCgqBnz54wd+5cuHz58n3pYD7NjXTwpk2b4JlnntHoYLNZQEhIsDOrTBgiPVilipbRqBeQHjcOHWMuy9T3ipxQmmzEA9INGiBr2+HAz+FMr+LFJbPLZpMj1bkz+tRTAlJT8VytWuF6Q+e3WvF9ISEC9u6Vw2CoFMvLS/YRoZ3wXaeObEpPbBC9JvPYOyzxvu4HN6zr168PTZo0+VsY1npbEX7/uy0/Px9OnDgBn3zyCTRs2BDMZjPUqFEDxo8fD7t27bovHcynuWVmZkJycjJMnz4dOnbsCBaLUYO1p5/GpAzhkWTU2xvZywYDJmeff77gMmQu5xUqaKeU6uHfy0tOW+b6jJI5H3yADGjCLrfPg4OxDJEmPfLvRMxLITBQ99NPUgdzx5g/5sksPdZ0y5aS5e1OL7/zzjsF3pvZs2eD3W6HOXPmFLaoud2KMPzfbXfv3oUlS5bA888/D5GRkRAQEADdunWD3377DS5dunRfaz0f9EQ6eMOGDdCnTx8XHRwYGOAMypQpU8aJZasVdd+aNbJEUMUg9bcWAoO2nHlFZYDTp2M5v977d+xAv7N4cdfBTGXKuLYQ0muno/c6fY6vL1ZIUBWHu4okTzaz2uZAr281rke2Au/LxYsXoUmTJlCvXj24evVqYYua7vYo4PeRDHDxjUA+aNAgiIiIgMDAQOjevTv8/vvvBYL82rVrsHHjRpg/fz5kZ2c7p7ktWrQIxo0bB1FRURpjlQxtf39/8PbWMiSsVoxk+/ggs4Kaz7oDGAeQ3S4j2lOmCPjhB32QrV6N0efSpZHOTcAJC9OnfnOHvEkTzKbZ7WgQcMc8KEg7trRCBe1nly3rWnpFyvnpp10XFz1QOxz2AntunTt3DurVqwdNmzYtdDqmp61JkybQq1cvZ3O933//3fnavn37QIjCb673qGz5+flw8uRJ+PTTT6FJkyZgNpuhWrVqMG7cONixY0eBhvbp06chPT0d1q1b53Ga2+HDh0EIVGBUxhgbK8t5rVY0Ljkm9FiLNWsi84qCuLwEo04dxILNJpmNHAOjRskGtxUrylIloxEz3BQAL1ZMP1huMCAjrEkTiTH6/Bo18P3PPosNqps2dS3V4OsNOb9vv601qPWwTI8HDx5834b13LlzC1u0PG5FGP7rtrt378KyZctgyJAhUKxYMfD394euXbvC7Nmz4eLFiwU6yZs3b4aMjAzIzs52TnNbuHAhvPfee1CmTBkoWbIkXLhwARISEsDXFwPR5cvLADVhhYxrmw3ZTzwQpgaAaC2gicrUR0QIDBj/9JM2G0sNar/9FvV+aKhrKTE5u+vWYcCc62CjEYNlP/+Mx1WujFjlJf+8lLlTJ9mXU8WjWrpYkOEdHR1938GtCxcuQOPGjaF+/fpw7dq1whYtt1sRfv+6LT8/H86cOQNTp06FZs2agdlshsqVK8Pbb78N27ZtK1AHnz17FjIyMmDNmjWaaW5z586Frl27gtVqdsHeqFGjQAhMONEQIxqSYjZjYvWHH9DxJHwbjWinUrCJO5I8aBwaihPfCP+qM6vax/yxxYK4XLEC9bP6Hpo2JwRWO1StKnVw1aq49nTqJGDzZgxo0+ALd86y3kRET855nz59CsTw3LlzweFwwKxZswpbtDxuRRj+67Y///wTVqxYAcOGDYOYmBjw8/ODp556Cn7++We4cOFCgTp469atkJGRATt27IDVq1c7Bz1NnDgREhMTITY2VtPO5/p17BHWrFkzMJmMTh1ps8k+U3PnupIhyA6mQWidOkkdbLPJ6goh8HnCX2Ag4qhsWQyCxcTgubt2RX1Kg17ovQsXyunjfNKwEJhY/ugjV1vX319OPM3KwqA1t4mJxamuHVOmyIb7qi7mPTNxfTJDdna2x/tx6dIlaNGiBdSsWRNyc3MLW7Tcbo8Cfh/5ABffCOQvvPACREdHg5+fHzz99NPwyy+/uID86tWrsHr1ali8eLEmEKY3ze2DDz5wjmLOycmBhIQE8PER8Omn6Bx6e2MpAQl2sWIYaTYYUNFSPy/q3+HlhY3nCNgJCXJRICWvp3xpRHpMDNb7ly+Pn80DUOS8pqdr+w7wiHlSEk6Z4hRu/lkREa7NpakfEVfCek6Des1RUVEQHR1dYDPbCxcuQMOGDaFhw4Z/K8P6tddegxUrVsCRI0cgOzsbXnvtNTAYDLBw4UIAwPGoxYsXh6VLl8LmzZuhTp06UKdOnUK+6kdzy8/Ph3PnzsEXX3wBLVq0AIvFAhUrVoQxY8bAli1bXAztY8eOQVpamqaO3d00t/3790NQUKBGXtu1wzIjITADRQatwYDKzmLBBvGzZ2uHJNDfxETsB0JlylKJISbJsCVM8mN69cIBEBxPhBm7HbFNDev5+amnX2wsnr9LF1w7+PvLlsU1hTMp3TnE3DlwV0JRpkwZlwlaevucOXPAbrfD7NmzC1uUNFsRhh/e9ueff8KqVavgpZdegtjYWPDx8YHOnTvDjz/+COfPn3fRwWvXroVFixZpAmHqNLeFCxfCjh074IUXXgCbzeSUSy8vHEs+dKg++5EGIqxejfqW9CDJ+ZAhaOgKgWX7pUtLHdykicRFu3b65586FXt72O3IziSGs6+vZGcKIc9L76chL9OnuzaZJ90ZHq4NoBE+9QLWxOAipreq85s1a3Zfwa1Lly5B8+bNoXbt2n8rw7oIvw9vy8/PhwsXLsDXX38NrVu3BqvVCuXLl4fXX38dNm3a5KKDT5w4Aenp6RrWl940t7S0NOjXrx+EhITA2LFj4fr162AwYFIpPV0mTIkFQexJ0rsxMXKqGreNS5dGlrQ6vZDYHkLgVOIXXtBigtaAgQMFvPGGa9C4fHnUr5Uro41AwW/+2YMGaXU4t4fj41FPk13Osc91vie9y/eEhAR46qmnCsRweno6OBwO+P777yE/P7+wxcm5FWH44W337t2DtWvXwogRI6BkyZLgcDjgiSeegO+++86lofm1a9dg3bp1kJWVpfGRadAT6eCsrCzYvn07nD59WjfgvXjxYmjTpg1YLGanzNK0YSGwt17Tpq6VAwMGYEsOsltpIJLBIEuPn3gCe2/xnltCICY/+wx7eqklkg6HdioyYV8dipaYiHqcgmN0bV5esipK1bN6AWv1e+lh2mQywLp16zziNycnB9q0aQNVq1aFS5cuFbYoObdHFb//qAAX3wjkw4cPh7i4OHA4HNCpUyf47rvvYMeOHfDWW2/BihUrPPYO0Zvmtn37dhg+fDh4eUkgW61IY65XDwW7dGkJtpAQ1waXalS7Vy/s+UUgp4gzz0q1bo1sKa4syRn+6COcFKcqUK6Mx43D8caqoS4EBtqIvv3883JRougzb5qvBrRKlNCeb+JEPB8ddz/G9cWLF6FZs2ZQp04duHLlSmGLjmbr27cvxMbGgtVqhdDQUGjWrJkT1ADYl2bw4MEQGBgIdrsdnnjiCThz5kwhXvE/Y8vPz4eLFy/CjBkzoE2bNmCz2SAxMRFee+012LBhA3zyySfw/fffe6xj15vmlpmZCYMGDdJMbDMaURkmJ6Ms16mDPXZIaVLPj65dsS8ABZQ4xsjw9vfHvkG8FIH6bqWloaLWw5EQeN5atQQ89pj2ucREVK4WC2KRzmcyIUZpQqTZjNiNipLXrpZBkII2GjFLReWPPj5SKdP5ybm4H+c4NTUVHA4H/Pjjj38rwxqgCMOFtd27dw82bNgAI0eOhNKlS4PdbocOHTrAN998A9nZ2TBmzBhYtmyZRx2sN83tiy++gKSkJLBajRoDMzDQH3777TdISEgAg8HgxFhQkHbYSq1arr0rn31WBrsJW/T6hAnoYHfujIklHx+tzrPZsMyJ2JncwCVmmNGIWeuPPsLjVWZIWJic+jpwoOy9wzPAJpNkiBbkEFO/T4NBQO3atQvE7+XLl6F169ZQrVo1uHz5cmGLjmYrwm/hbPn5+XD58mX49ttvoX379uDl5QVly5aFkSNHwtq1a+Hzzz+HmTNnwsGDBz3KlrtpbsWKRbngYNiwYZCcnOyc9EavOxxYWUAJWI5PwlpkJAa81ZYeQUFom9NnVKum1cF0XPv2OHBJdU7j4lCn2mwCsrOxLxgPZtHxzz6L7G6OfbK3eT9AKm3kSSlKfKsljRSQvx8dvGDBAvDx8YEZM2YU6eCiDQBQB1PPpDJlyoCXlxe0bdsWvv76a9i1axe88cYbsHTpUo+tfWjQ0/r16yE9Pd05UfXkyZO6wa5Vq1ZBuXLlNDgKDJSTgX/5Bf1ZlSDRpYuABQvw+aZN0a4l+a9RA/HXrh32x6WJ5aqvazBIfKvBbLMZy6AzM7Xv12vXQYkr1VZXyw7j47EnKH0OHUvVXbJPthG2bdvmEb+5ubnQsWNHqFixIly4cKGwRUezPar4/ccGuPh279492LRpE7z66qtQokQJsNvtUKVKFfjqq6/cRqTdgZxPc/v666+hUqVKYLWaNMrrvfcQSPQcgTQyMhIsFgErV2p7eXAAdeiAGS3e8I5PkvDyQmX900/SkVWd5Pffl+wsAh01zLXZUBHPmKF11HkgLDXVFfhquRZlkqnJLl8gIiKoaZ8VtmzZUqBh3apVK6hRo4ZLDW/RVrTRlpOTA99//z106NABrFYreHl5wYABA2DVqlXOSU4F7eo0twULFsCLL74IPj4Op3ybzVguSKyt4sVRORNOKlVC3LRsiTToKlXwOFKGDgc6sU2bIib69NEyO3hWKTZWi19qXv3LL+jwxsVpJ9FYLBjAIgO+ZUsZLCeGZbVqeO1PPFFwHwKzWVvGRZ/Bs1xt27YtcH2cP38++Pj4wDfffPO3M6yLtr/Hdu/ePdi6dSu8/vrrzmBXxYoVYdq0aW4NZT0drE5z+/bbb6F+/foQFxenmcZIumXcuHEQGBio6ZNRrBj23uL6TMVKuXJyKAR/vWJF2eDW4ZDNZd1hrHNnNOzJmW3QQAatOnbUlj3QPmYMGvpcBwcGyumQdM080EWTkSmgHRaGn2e1mmH16tUFGtbt27eHSpUqwcWLFwtbVIq2v+l25coV+Omnn+DJJ58Em80GNpsN+vTpAytWrLhvHaxOc8vKyoIRI0ZAsWLF4JVXXtEce+XKFfDyMkKVKjgMgg9qMJnwucWLtfrZXd8bjn9ia8yYgb0rOb65nVu8uLZ1hxDIFOMNsqnHrBrsqlMH+++qzLL72dVJbM2bNy9wfVy8eDH4+vrC1KlTi3Rw0aa75efnOxNLZcuWBbvdDomJiTB16lQ4fvz4ffe+JR1Mg542b94Mx48f110D+vXrB0Jgkpaw5XDIflx850Gqxx7DhLPFgiQKXsVQrhza0klJ2IqApglTMLlcOe00YsInBcXr1EHd+fjjWIrcrJkr8ePVVwUsWSKvR63eUB+rx5EtjaXXJkhLS/P4u165cgW6dOkCSUlJcO7cucIWlX/MZgAAEP8j27Vr10TZsmVFs2bNRIkSJcS8efPEwYMHRdOmTUWHDh1E27ZtRWBgoDAYDB7Pk5+fLy5fvizOnz8vzp8/LwwGg8jJyRGfffaZ2Lp1k7hz509Bv6qPj12sX79RAICYMmWK+PrrrwSAEF5eQty6hcd88YUQmzYJMWOGECaTEPfuyc9q2VKI5cuFCA8X4uZNIS5cwOfLlsW/+/cL0aiRENu2CXH1qhAGgxAArucRQgijEf8CCFG1qhAHDwoRGSnEt98K0a+fEPv24WuqRPj5CXHtGp7zzz8L/p2NRiFMJpP49tvvhY+PjwgICBBhYWEiNDRUeHt7O4+7c+eO6NGjhzh16pRYvHixCAoKKvjkRdv/9DZlyhQxYcIE8fLLL4vNmzeL+fPni5CQENG+fXvRsWNHUaNGDWEkQfew3bx504nfK1euCG9vb7Fs2TIxdepUcePGVXH3LgizWYgKFYR4+WUhBg0SIihIiDt3hDh/Hs9Rtizi4ehRwoxRGAz5TtwZDEK8954Qhw4htsuVE+LAASHu3kWMhIQIERoqxO7d8niOseLFhRg7VogvvxQiO1uIJ58UYt48Ia5fF8JsFiIqSgibDXFcq5YQGzdq36+3BtDWo4cQp04JsWyZFu9Go0F4ednEzZu3RJMmTcXw4cOF0Wh04jcoKEjz+65Zs0Y8+eST4t///rcYOHBggWtn0fa/vd28eVMkJCSI2rVri4SEBJGcnCz27t0rGjduLDp27Cjatm0rgoOD70sH5+TkiHPnzokLFy4IABBhYWEiLCzMRUaFEGLMmDHiww8/FF27CrFmjRDHjyOeL18WIilJiD17hIiOFuLMGYkZs1mIGjVQNw4dini9e1eIc+fwdZsNj7FYhPjlFyHefFOILVvw+Tt3EFd9+wrRs6cQjRvje4xGqWNfeQX1d3a2EL/+imvMjh36OtjTZrcLceOG/N/Ly0vcu3dLCGEUX389UwQEBIiAgAARGhoqwsLCNDr4zz//FH379hX79u0Ty5YtE6Ghoff/wUXb/+T21Vdfiddff12MGDFC7NixQ2RkZIjAwEDRvn170aFDB1GrVi1hMpkKPM+tW7ecOjg3N1f4+fmJ8PBwjYwGBfmJ+Ph7YsQIIYYNEyImBvesLDxH6dKIx/BwIWbOFGL8eCEWLxbC31+IS5fwGJtNiGbNhMjMFKJrV9R5Z8/K5+fPF2LMGNT1zz8vRF6e1NFNm6L97esrRE4Oft6hQ7hGmEyov8+eFeLDD1Ef9+yJ+jc/X6t//fzQPrfZhLh9G58jW502gwF3IRDDN2/eEnXq1BVvvPGGMBgMTvyq69vmzZtF+/btxbhx48QLL7xQpIOLNo/bnTt3RLly5UT58uVFpUqVRGpqqti1a5do0KCB6Nixo2jXrp0IDQ29Lx2cm5srzp07J86fPy8AwCmjwcHBwmg0itGjR4spU6aIl19Ge/bll/G9ZjPihGPkgw9Q/06eLJ83m4WoUkWI4cMR27t2aa+hZEnUf7t3I14fe0yIdeuEuHIFseTtLUSpUkLs3In/lyyJ60JuLr6/QgW8jn37EJshIWgXC6Gvg41GIaxW6bvT5nCgXe7tjX66EPgd8vOFmDHjGxEcHCz8/f2dv4/dbne+9969e+L5558XmzZtEsuXLxeRkZH3cReLtvvZ/qcCXEIIsW3bNlG5cmVhMBgEAIh9+/aJ33//XcydO1fs3r1bNGzY0Glo/ycgP3/+vDh37pwAAHHjxg3x7bffil27domVK1eKkJAQ5/Hnzp0TH3/8sfjpp5/Epf/TwFarEHXroiJ97z0MJk2ahADLz0eQJyUJMWoUOrurVmmvoX17BPFHH6GTO2eOEO+/j2C7cweBVq0aAr93b/yc48fx3EIIkZCAjw8cQOPgo4+EyMiQoC1bFpV6fj4CnBakVq2EOHFCOui0aJ08eVIEBAQIg8Egbt68KS5cuCAuXLggcnJyhI+Pj8jPzxcGg0F8/vnn4tChQ2Lp0qWa36hoK9rcbZcvXxZXr14VJUqUEEIIcePGDbFgwQIxZ84ckZGRIXx9fZ2Gdp06de7L0L59+7bT0M7JyRHe3t5i/fr1YsqUKeLq1Uvizh0QJhMat6+8IsT06RiQFkIGjefNSxHjx48XR45sFDNmCDFwIAbCCGNC4HvDwhDHHTsKsXcvOrg+PmhUWyxoICclobN8964MVnl5oQGwcyeuAc8+i4b6mTN4DaGhaID37i1EfDwaA1euICbv3nX9zjYbrjvXrsnnDAYhVq5cJapWrSru3bsnTCaTM5Bw4cIFcf78eXHv3j0REhIijh49Knx8fMSzzz4rxo8fL4YMGVJkWBdt97WpOvjgwYNOHbxjxw5Rv359p6EdHh5eoFwBgMbQvnfvnsbQNplMYtKkSeKdd94RgwdLR5Yb10ajEIGBiKN9+/A5HnA2mVAPvvqqEK+9hsfXqCFESgrq6ehoIWJjMXgmBCadSE/n50tntksXIdLTEet5eXJ9KFMGsbpnjxALFiDG583TBq/q18dgNgXY6JyYUEKc+/r6irNnz4p79+4Jo9EoDAaDuHXrlhO/pIMBQOTn54tvvvlGbN++XSxbtkxERET8hXe5aPunblevXhUXLlwQpUqVEkJg0HrhwoVizpw5Ij09XXh5eTkTTnXr1hVms7nAc96+fdspo5cvXxY+Pj4iPDxcPPfcc2Lz5nXi9u18p4M6apQQP/7oagfHxAgREIB6lXBN+CCcvfiiEPXqCfHUU/i/ySSPqV9fiM2b0eaNjcWg2aZNiDNytidPFuLwYSE++USIp58WYvVqIU6fRn3atKkQS5ZgEK1zZ0xOZWfjufUc4hs3tPY0rjcGMX/+QlG3bl2NDs7NzXX+Pnfv3hUhISHi+PHjws/PT3Tt2lW88cYbYsSIEUU6uGi7r2379u2iUqVKTh38xx9/iDlz5oi5c+eKrVu3ijp16oiOHTuK9u3bi8jIyPvSwVeuXHHq4D///FOEhISIs2fPih49uonr1687MWg2m8Tvv6O9Pn/+fHHy5Emnrm3QQIgVK1DP2mxCjBuHGFGJFTExSPbguLJYhIiLw+DV+fP4vshIGbAymYRo0kSIl15CHa4Gy6xWDERfvChEWhquMbNna4NWlKAyGLRBbIMBP//OHTzPnTtCWCwmsXr1WlG+fHmX9c3hcAiDwSDu3r0rfvnlF7F69WqxbNkyERMT8/99T4s2na0waGN/xy0/Px8OHjwIEyZMgBo1aoDZbIaGDRvChx9+CIcOHbrvscmnTp3yOM2N76mpqSAEUi2pgZ3JhPRNs1nA8OECfv8dH6slglTHb7FoSxVCQ7F0if5v1EiWNdDocd6PwN8fy5yIWhkTI0el8l1t4EfXoZZXWK1mt3R1auD/1ltvOSnugwYNgp07dxb27S/a/gHbzZs3ITU1FXr37g2BgYEQEREB/fv3h4yMDI99fviek5MDBw4c0ExzmzRpEkRGRoLNZtTIerNmzeD48eNw6tQpuH79OiQlJYEQWKIbHY34WLwY8a3Sl3v3FrB0qcQlYd9oxJ59hFkqPVLLoMaOFfDrr7JUkUYvWyxYHklTHKlpthDy77hxcuIbL0e0Wk0Frm9nzpyBbdu2QenSpcFkMkFiYiJ8+eWXcPv27cK+/UXbI77l5+fDH3/8AZMmTYLatWuDyWSC+vXrw7///W84cODAfevg06dPa6a5rVu3DhYuXAh+fr5Kj0ojfPzxxyAE9vagXhrUA5OGTLz/vqsOjogQ8OWX2BvEYsEyCV7mVLKkdgoix7/Fgp/13Xfa/pz0elQU9tvU072EW/4evjb07du3wHLEQ4cOwbvvvgs2mw2sViv0798ftm3bVti3v2j7B2y3b9+GjIwM6Nu3L4SEhEBoaCj07dsXUlNT71sHk53Ip7lNnjwZoqOjNUMmcPpwXZg9ezbEx8c7sWAyCfD19XWWAm/YIKBbN317lYZPlColp7GRjVu9OmI1IEB/ouLo0QKWL9eWWFGpU6NGWM7Mh1qou1r29NlnnxW4xvEhOklJSWA0GiE+Ph6mTp0KN2/eLOzbX7Q94lt+fj4cPXoUJk+eDPXq1QOTyQR16tSBiRMnwt69e/8jHbx9+3bnoKe0tDTo0aMHREVFuTRaP3ToEAiBg5GoN52RTRbv2xd7XNOwJo7DqCg5zKF7dyxXFgIxazLhRHHqe0sY5RisVg1bFvj5aduBRERgz11+LPWpVRvV6+HbaBSwatUqt+WIf/zxB7z//vvg7e0NVqsVevfuDZs2bSrs2/+P2/7nGFz3swGAOHbsmJgzZ46YN2+eWL9+vahVq5bo0KGD6NChg4iOjr6viPa1a9ecEe1bt26JkJAQZ6mP2WwWmzZtEo0bNxZdugjRrRuyOoTAKDFFiGvWxKzt5cva81Pk2G5H1tevvwqxdq1kWxGFOioK6dq7dglRuTJmpw4elO+PiMCs1M8/I2srLg5ZWZw++uKLWGKVl6e9BqNRZqAAhDCbzWLr1q3OzJ7edu/ePTF06FCxfv16MXr0aLFy5UrRokUL8cwzz/znN6poK9rcbHfu3BHLli0Tc+bMEcnJyQIARJs2bcQTTzwhGjVqJKxWa4HnuHv3rrh48aI4f/68uHjxovDy8hIHDhwQ06dPFzExMeLXX38VQiDWDx8+LP744w+xfv16kZqaKvbv3yvy87EMKjwcs8pz5woxbZoQixZps8q0EV7z8pCNJQRmj8xmzAp98YUQb7+NrC9eeti3rxADBgjRsCEyxK5dk+XKaoYYr1f7uQYDMsTu3jWKK1euiYK27Oxs0aZNG9GnTx8RFhYmVq1aJVJSUu6rNLRoK9ruZwMAceLECTF37lwxd+5csXbtWlG9enWnDo6Njb0vHZyXl+fUwTdv3hQWi0XMmTNHZGZmih9//FEEBASIqlWrig4dEEdPPEHvlRitVg0Zz1SaLIRkKwuBmeb33xfi/7V352FRle0fwL/DMqyyyiKyiPuSpmEqrpmaocjmXila2aaZS265VG9vpqbla1qaqGmllqwCguIIuAGCSyqKihvKjgLKCIIz9++P85uBERQ0nGHg/lwXVzAcZ87M9OU+55nnPHdSknCp4ttvCzOhc3MrL00SiYTstmkD+PtXzgqpel96esLMjuJi1U+GFXlV7I++fuWszJkzgcBAYd8ePQImTpyIgICAp74ucrkcs2fPxqFDh7BkyRIcP34c/fv3h7+//7O+TYw9UUVFBeLj4xEYGIjQ0FBUVFTA09MT3t7eGDx4MAwMDGq9j0ePHqGgoAC5ubkoKCiAgYEBrl69il9//RU2NjYIDQ1Vbnv9+nVcunQJrVu3xvvvv4+TJ08CEGZ1de4sHB8DwuyPzMzK+isSAW+8AXz6qTDDskMHIbeHDwu/NzQU6q9cLszq+PJLYSZ11frdqhWwfTvg6Vm5pMe9e5XHyDUt7aG4hEkxI2TDhp/rnMGLFy/Cw8MDEyZMgIuLCyQSCfbu3Vun2XKM1QURISsrC8HBwQgKCsKxY8fQvXt3+Pj4wNvbG66urnWuwYorJB48eAArKyvY2dnBxsYG+vr6yMvLg6urK0aMAN5/X5gZqbhEWHEe3L27MHPy/n3hGLewUNimclYY8P33wvezZ6tmS3El0sqVwv3Nn199+Q4zM2DdOuF+n3YZZdV9qnoc7eIi/E159EhY5uPo0WN4+eWXn/i6yOVyLFq0CHv37sWXX36JpKQkuLm54YMPPnjGd4k9DQ9w1YKIkJmZqTzQPnbsGHr06KE80K5ryKVSqfJAWyqVwtraGmZmZnj99ddRVFSgLICKQjdz5ido1UoY2CosrAyTm5sbzp49hWbNCGZmwmBU1aCuWCFM2/zqK8DbW1gTJDNTuN/mzYXLrBIThUsqiouF4Fctvps3A9bWgJ9f5R+Jqpc5OTkJj2lqKkyxtrERDuT19HSwf38M+vTp88TXQS6XY9asWYiNjUVsbCycnZ2f/Q1h7Bk9evQIR44cwZ49exAaGorS0lKMHDkSPj4+eP3112FoaFjrfchkMpUDbbFYrByszs3NRW5uLtzc3GBqagpAOLjfsGEDVqxYAan0PuRyYR2Pl14SLhVWrKu1YYOQM0Aonq+8IhTgadOEgem2bYUBMUC49NDFRTh5BoQ8370L5Zo9enrCpVGLFwPffCNciqw4eFb8/WjRovKyxsfX+hk2bJjKCUNNLly4AA8PD8yYMQPLli3jSyLYC0dEyM7ORkhICIKDg3H48GF069ZNWYPbtm1bp/8Pqx5ol5SUwMrKClZWVhg8eDDu3s1TqYOrV6/GwoWfw8lJOFFV5ExxOWCXLsDcucLaXCUlqjX4P/8RTpLHj6+soSKRcJI8ZIiQX29v4OWXhaUIFGvzKNbtMjIS8hsYKPytAISB8qrHAYpMe3oK63bduqV6ScSTyOVyLFiwAOHh4YiLi0Pr1q2f5y1h7JnIZDIcPXpUOdh1//59eHh4wMfHB0OHDlVZF+5p93Hnzh1lDdbT01Ouu5efn4+srCy4ubmhWbNmAID09HR88MEHSElJhlwuV65Na2cnZOzq1cr7rrrmT7duwBdfCANeiuVBDhwQ8ta6tVCTDxwQ/p21deVaX127CvfZs6ewptcPPwhrhSmW9nj8A63HhYSE4I033qj1dbh8+TI8PDwwZcoULF++nGswe+GICLm5uQgNDUVQUBDi4+PRuXNneHt7w8fHB+3bt6/T/4dSqVS5nE9JSQksLS3RvHlzDB06FHl5WSo1ePny5Rg4cCB+/fVXREfvQ15eAQBhwJlIGFQOCAAmTBDWwXvSerNVB6gU3+vqCkv7+PsLx9qFhYrBqcp6bW4uPMbFi8L5r2KgzMJCOB5Q1PTycmG769eFS4x37twNT0/PJ74GcrkcX375JXbt2oW4uDi0b9++Tu8Bew7qnzSmveRyOWVnZ9Mvv/xCQ4cOJX19ferevTt9+eWXdOrUqTpN35RKK7u5xcTEUGhoKIWHh9O8efPIycmJNmzYQFKplPT1hcsX/vxT9VIHAwMDAoRLDbt3V+248vj0688+q+wE8dproA4dKi+DMjcXOlVUvexC8X3VbhZz5gjTt/X0VLs0Vf3S1a29Ber9+/fp448/JhcXF7p27Zpa37fly5dTz549ydTUlGxsbMjb25vS0tJUtlG0ObWysiITExPy8/OjnJwcte4ne/EePXpEhw8fppkzZ5KzszOZmZnRuHHjaOfOnZSfn1+n/Cq6uSUlJVFYWBiFhoZSUlIS3bp1q8a/ARcuXKD+/fuTjo6OSicoT8/KDL3yipCtqlOoW7cW8q/o1Ki47BH/f5lTp05C63QA1Ly56iUYissTH+/uVLX1etWp1aNGjar1eZ86dYrs7Ozoiy++UGunJs4vU5DL5ZSXl0ebNm2i4cOHk76+PnXt2pWWLFlCKSkpda7Bim5uihq8d+9eWrhwITk7O9P3339PUqmUxGIR9ewJ+v33yhbnVb/athW6FZqbCx2fnJ2f3Ll0wIDK7CkuYxo8WLhUsabLmBSXaVSvtZXfu7q6komJgbIGJyUl1VqDP/vsM3JwcKDLly+r9X3jDDMFmUxGx44do9mzZ5OrqyuZmprS6NGj6ffff6fc3Nw65bdqN7e9e/dSaGgoJSQkPLGb2+rVqwkQLv1t1Ur1ct/o6Gjy8vKqdhwMCEt2/P670HlNT0/4uWpnccV9vf22kOWqua1aaxX1VtF9fMYMUFCQcJvi8eLi4mp93ufOnaOWLVvS7NmzSSaTqe094/wyBblcTgUFBRQQEEAjRowgsVhMXbp0oUWLFtGJEyfq3FG1oKCALly4QBKJhEJDQyksLIwWL15MLi4u9O2331bb3sLCjDp2FLofVtZA4TJFIyNQeLhwWXHV419FVufMAX3xherxsKITa5culXlWXNasOMbu3bv6pYqPf1Veaix64mWJVS/fXLRoEdna2lJqaqpa37emmGEe4HpOVUPu4eGhDPkXX3xBycnJtR5o37p1i8LDw+ns2bN04cIFiouLo7CwMIqLi6OLFy9Sly5dSCwWqQRp0qRJ1LJlS3JxEU6ODQ2FkFZdlyMyUhj4UrRLVtw+bhzoyBHh33TrJmyj+EOgry+s4XP2rDAIVvUxPT2F3z1+QqyjA9LTE9HevXspPT291oORmTNnkqOjI125ckXt79Xw4cNp27ZtdP78eTpz5gyNGDGCnJ2dqaSkRLnNRx99RE5OTiSRSCglJYX69OlDffv2Vfu+MvWRyWSUkJBAc+fOpTZt2pCJiQn5+vrSb7/9Rjk5ObX+P61Y2yc9PZ2Sk5Np3759FBkZScnJyXTz5s0aC/3169eVJ+aKE1sdHZCVVWUmra2rty02MQFt3QqaNEn42censhjr6gqFvuraezV99e8vPJaxsfDzwYMHKSsri/76669aD0b++ecfcnBwoLlz56r1wJqI88tqJpfL6c6dO7Rt2zby9PQkAwMD6tixIy1YsIASExNrPdDOzMykiIgIOnPmDF28eJHi4+MpLCyMYmNj6cKFC9SjRw8Si1XX3Rs+fDgtXryYnJycVOqho6OwhgggDHYNHap6Eu3nV5ldsVhY40PxO6GVeOV9xcWBPv5Y+N7cXPHBVmUNVvxd+Oabb0gqlVJkZCSlpaXVemA9f/58srOzo4sXL6r9veIMs5rIZDI6ceIEzZ8/n9q1a0dGRkbk5eVFW7Zsoezs7FprcFJSEkVHR1N6ejqlpKQoa/CJEyfoxo0byr8B3333HQFCrnbvrsydSAS6ceMGBQcHEwBavRoUEVHzgLKBAWjzZtBHHwk/e3lVZtjKSlgDSF8fNHWq8OFy1XV1a6rHLi6Vx9SDBg2qtQZfuHCBnJ2dafr06VyDWYMgl8upsLCQtm/fTt7e3mRkZETt2rWjzz//nI4dO1ZrDc7KyqLIyEg6ffp0tRqcmpqq8qGziYkRubqCfv1VGFhu1kz4UEmRJwcH4YMkxc89etQ8EDVxorC25uMfIhkZCcfI9vbCz336qE4gqemrU6dOdP/+fYqOjqbz58/XWoO//PJLsra2pn/++Uft71VTzDAPcNWDqiH38vIiQ0NDat++Pc2bN6/GkN+4cYPCw8PpypUrKrffvXuX0tLS6PDhwxQWFkYHDx6kFStWULt27WjSpEkklUrJ0tKSHBxAGzeC3ntPKKjCSbJwIG5vX7lw7ZYtoDFjVGdy6OsLIT5wQCjQVU+iLS1VR7CbN688Ga7pk2QDA/1ai3JJSQnNmzeP7O3tq40Wa0peXh4BoPj4eCIiKioqIn19fdqzZ49ym4sXLxIASkhI0NRuMjWSyWSUkpJCixYtovbt25OhoSF5enrS5s2bKTMzU2XA+t69e3T06FGSSCRUWFio8v/67du36eTJkxQVFUURERGUlJRE169fr7HJRG5uLgHCovAvv1z5qVOzZsInRzo6lQtbPn6Q/MMPoG3bhO8HDxZmkijyrRiY3rVL9eRZsYiunp4O7d69u06fskmlUkpNTSUnJyeaMWOG2g+sa8L5ZTUpKiqiP/74g3x9fcnY2JjatGlDc+bMocOHD1erwRkZGRQeHl5tYOju3bt06dIlOnLkCIWFhVFMTAytWrWK2rdvT+PGjauWjX79+pFYLMy2VNRYW1vQyJGqeVUcKCs+UOrdGxQVJXwa/Xi2u3YFTZ789E+LAdCff/5Zp/yWlJTQkiVLqHnz5nT27FlNv01ExBlm1clkMjp9+jQtWbKEOnfuTAYGBjRixAjauHEj3b59W6UG379/n44dO0YHDx6ku3fvVqvBikZPERERlJiYSBKJpFqTCR0dUFBQEEmlUkpJSVHm0Nq6cps+fUA//STcVvVYGQB9911loxhA+L2urnDM7Ocn5Fgxi6TqAPb06dNp4cKF1KZNG9LVBb366qu1Zvjy5cvk6upKH3zwAddg1mDdu3ePdu3aRWPGjCETExNq1aoVffbZZxQbG1utBt+6dYsiIiLowoULKrcrGj0parBEIqFz587RyJEjydCwssmEpaWQzb59hdy1bava6EUxUBUQIGxXNfuKOtq/v5BtS0uhMUTV8+RXXxVmbir+TdUPlN3c3Oi3336r82y1kpIS+vbbb8nS0pJSUlI0/TYRUdPIMA9wvQDFxcW0c+dOGj16NJmYmJCrqyvNmjWL4uLiaMOGDRQQEEDXrl17aiAe7+Z28OBBOnfuHI0dO1Yl5MI0aRfKy8ujxYsXU6dOnZQhtbISZm4ptrWxqX4Zk46OcHvVoq/4r56ecKKs6C6leDzhD4AuJScn1xrqxYsXk42NDZ0/f17Tb4vSlStXCICye6NEIiEAVFhYqLKds7Mz/fDDDxrYQ6ZJcrmczp49S8uWLaOXXnqJxGIxDR8+nH755Rc6d+4czZs3j+Li4p7aFepJ3dyuXr1KxcXFyu0A4SQ3IkI4CXZzE05+FXkzNhZmb9nbCwPWrq7VT4hnzQKdOVP5iXHVf1t1O8Wsy/3799d5cCstLY1cXFzoww8/bBAH1kScX1a7+/fv019//UXjxo2jZs2akYuLC3366ackkUjo119/pY0bN9Y68/jxbm4HDx6ks2fPUk5OjvJku0ePHmRgAPrxR9A331Sf+WFpaUlAZR1WnPQqfl/TZUw1dXvr3Vv4G6Co2QBo165ddTqw/uabb8jKyqpBdUrkDLOnkcvllJqaSl9//TW9/PLLpK+vT8OGDaP169fTuXPn6PPPPyeJRFKnGly1m9u+ffto2rRpZGdnV23mcmFhIa1Zs4a6detGenoiEolEJBIJM0Hc3Cpz26xZ9cwCoLlzheNjW9vKSxEfH5Tu2LFjnWuv4uvq1avUtm1bmjJlCj169EjTbw0RcX5Z7UpKSigwMJAmTpxIZmZm5OTkRNOnT6cDBw7Qtm3b6Oeff6bLly/XWoPT09Pp2LFjtHfvXoqJiaENGzZQ27ZtVTqq6uoKsy/9/aGst4rZz2Zmws8ikXCZYkBA9aV2bG2FS4ZHjxZ+fvPNylnTiixXzbGTk1Od81tSUkKrVq0iCwsLSkxM1PTbotQUMsyLzL9gUqkUUVFRCA4ORmhoKGQyGcaPH4/Jkyejd+/e0FWsMP0Uj3dzMzIywtWrV7F582aUlpYiISFBpXvKli1bMHPmTLRuLXR/ksmExfPs7IBOnQCJRNiu6uLTCtbWwNdfA3v3Vi5uDahup6MDxMUdhpub2xP3mYiwZs0arFu3DhKJ5KkdJdRJLpfDy8sLRUVFOHr0KABg586dmDp1Kh4+fKiyba9evTB48GCsXLlSE7vKGgAiwqVLlxAUFIS//voL165dg6OjIz7++GN4e3vDxsbmubq5WVtbw9bWFgMGDEB+fg5kMqE7mpsbMG+esPClpaXQDCI+XrifLl2Ali0rF7gFKhfNrLqI7aRJQre2NWuErjOKnP/2228YO3ZsnZ97dnY2hg8fjoEDB2Lz5s11+lv1onF+2bN68OAB9u/fr2wUU1FRgTFjxsDf3x/u7u516jz2eDc3Q0ND2NraIjAwEKtXr0RZWYVyWxMTIyQlJSMjIwMHDx7EDz/8oOxoamMjLGjr5ydk+eefgdLSykYu3bsDU6YACxcKzWKMjIxQWlqKwYOFDm8zZyo6O4lw9ep12NjYPHGfiQjr16/HihUrcODAAbz66qv18Gr+e5xh9iyICOnp6QgMDMTff/+NK1euoEWLFvjwww/h5+cHOzu7eunm9jhXV1dUVORBVxcoENa3hoGBUIezs4UvU1PV7uJ6esDw4cCyZUIDiuRk4XZFDV65ciVmzJhR5+eel5cHDw8PvPLKK9ixYwfXYKaVSktLERMTg+DgYAQGBqK8vBy+vr6YMmUK+vXrV+caXLXJhFgsRlZWFtatW4fU1LMoL69cZX7pUqEJ02efAa6uQFaWUF8NDYGhQ4Vj6FGjAB8f4L33hN9VPY7+4w9hMXlPT2Eh+YrK8g4i4I033kBISEit+0xECAgIwLJly7Bv3z7069fvOV69+tdUMsw9ZV8wExMTjBkzBrq6uoiMjMSSJUtw6dIljBs3DoaGhhg1ahR8fX3Rt2/fJ4ZcX18fLVq0QIsWLZTd3ExNTfHVV19BLBbj2rVrsLW1hbm5OUQiER79fysKHx/g9deFkPbvD9y4IQxuKTo/vP22UIQHDBBCLZMJHWFmzRK+r9oqXVGg69IClYiwbt06rF27FgcOHGgwg1sAMH36dJw/f14ZasaeRiQSoWPHjli0aBHCwsLQr18/DBw4EDt37sTnn38Od3d3+Pj4wMvLCy1atKjxQFskEqFZs2Zo1qwZ2rZtqzzQzsjIwKZNm2BsbIzo6Gj8+uuvSEm5j9GjhX9nZQV8+KHQufTPP4HUVKGji+IhHByEzk3R0ULHl+JiIau//y4ciCvqlCLH7u7udX7eubm5GDlyJNzd3RvM4BbA+WXPztjYGL6+vjA0NERoaCiWLl2K69ev46233oK+vj48PT3h6+uL/v3713iiCwB6enqwt7eHvb29Sje3Pn36IDQ0HHl5edi2bRsuXryII0eOwMHBAa6urhg0aBDeffddvPTSS3B3Fw608/OB4GChNrduDVy4UNnB6cwZoU25IuMdOnTAo0ePkJR0GbGx5QCEGiyRxNY6uPXrr7/iu+++Q1RUVIMZ3AI4w+zZiEQitGvXDgsXLkRUVBR69eqFYcOGITg4GIsWLULv3r2VHVVbtmxZaw1u06aNsptbRkYGLly4AEtLS+Vgl4GBAQCgvLwc5ubAt98Cq1cDly4BgwcLnREVH0jZ2QkDXD/+KNTbL74A9u0DIiOFGqyg6Gb8LB0PCwoKMGrUKHTt2hXbt2/nGsy0lpGREby8vGBqaorAwEAsXrwYt2/fxuTJkyESiTBy5Ej4+vpi4MCBEIvFNd6Hnp4e7OzsYGdnp6zBFhYW+Oabb6Crq4u7d+9i06ZNSEw8hv/+V6aclDFsmNAtsV8/4Zg6JkYYsAoNFY6ZjYyELojvvAOsXSt8APXOO8J5MiCcKw8fLnQlLy8XclxSdVT7CYgIO3bswJIlSxAeHt5gBreAJpRhzUwca3qkUqnK+hcPHz6kffv20XvvvUfNmzcnGxsbmjp1Ku3du1dlXZ+nfVXt5hYREUFRUVF08uRJOnjwIBkbG6hMqXz7bdCxY8JUzKqXPzg6CtOqHRyEqZyhoZXTNC0sHu8KI6I9e/bUOh1zzZo1ZG5u3uCu250+fTo5OjpW6+LYGKdmsvqXkpJCFRUVRCRcQnHjxg1as2YN9e/fn3R1dcnd3Z1WrFhBFy9efOZubrGxsco1f5YsWULW1tYq63bo6YHs7Ozo/fffp5deeol0dXVUfte5s5DTWbNAa9YIOVdMwxaJQPv27avzlOqbN29Sly5daNy4ccrn2xBwftm/UVZWRmfOnFH+XF5eTgcOHKAPPviAbG1tydramiZPnkwhISF1rsFVu7lFRkbSvn37KCUlRaWbW35+PgGgsWOFRi8GBsKyACYmlfnU1RXWAXFwEH52c6tcDsDY2JCkUint27eP+vfvTxEREbXW4PXr11OzZs2U62s0FJxh9m+cOnWKHj58SERCDc7IyKC1a9fSwIEDSU9Pj3r16kXLly+n1NTUOtdgRTc3RQ1WNHp68803SV+/stGTsbHQ6GXKFCiXFlCsrWdvD5o2Tcjsu+8Kx9s1dRzfsWNHnfbp9u3b1L17d/L29lY+34aA88v+jfLycjp16pTy54qKCpJIJPTRRx+Rvb09WVpa0jvvvEOBgYF0586dOtfgmzdvUnJysrIGBwYGkre3N+nr66qcB3t7g+Ljhdza2lbWYB0doaPim2/WvOblqFGVDdh0dUUUEhJSaw3evHkzmZiY0MGDBzX4ilfXlDLMA1wNQEVFBR08eJA+/PBDZcgnTZpEgYGBKgto1hbyjIwMlW5uwcHBNG7cOBKLdaut6eHv709Lliyhdu3aqawn0K+fUJyrbqu4FrkuLVB/+uknMjMzoyNHjmj6ZVWSy+U0ffr0J7ZHVyyuFxgYqLwtLS2NAO1dXI+pj1wup9u3b9O6devotddeIz09PerZsyd98803dPbs2TofaN+5c0elk4xEIqFvv/2W2rdvT61atapW8L/66isChMUxzcyEIm1tLXRxcnWtLNzr16+v8+DWrVu3qFu3buTj40Pl5eWafmmJiPPLXryKigqKjY2lTz75hBwcHMjc3Jzeeust+uuvv57pQDsjI6NaN7erV6+ShYWZygK2AwaADh4U/lv1AFxRb4cMqewCpaODOue3pKSENm3aRKampnTo0CFNv6xKnGH2IsnlcsrKyqINGzbQkCFDSE9Pj3r06EFfffUVnTlz5plqcFpamkoNXrlyJbm4uKgMdgHCuntbtlQOcCkWmbe0FJpEVO0+rviwqrYTY6lU6CzXs2dPGjFiBJWVlWn6pSUizi978R49ekTx8fH06aefkqOjI5mZmdH48eNp165dKt0Ua6t/t27dUmn0FBYWRpMmTSIDA32VRej79BGarQ0aVH39aUNDIbcGBmJyc3MjExOxMsu1fcAklUpp+/btZGJiQvv27dP0y6rUFDNc7wNc69evJxcXFzIwMKBevXpRUlJSfT9Eo/bo0SOKi4tThtzc3JwmTJhAu3fvpoKCgucOeUREBPn7+5OFhYVKN6iSkhI6duwYTZgwgUxMTJStkwHhEyhF1zVFt5mnPeYvv/xCpqamFBsbq+mXUcXHH39M5ubmFBcXR9nZ2cqvBw8eKLf56KOPyNnZmQ4dOkQpKSnk7u5O7u7uGtxrzeD8/jtyuZxycnJo48aNNGzYMNLX16eXX36Zli1bRqdOnarzgfbj3dwkEgmdP3+e8vLylNv89ttvBIAWLQKdPVu9EYRIBNq7d2+dT44zMzPplVdeoZEjRzaoT405v8+GM/zvPHr0iI4cOUKfffYZubi4ULNmzWjs2LH0559/quSvtnr4eDe3yMhIevfdd8nIyEBlkXmRCNSmTRtydHQkfX2hK5SiDhsaCp8Y1/Uxt23bRiYmJhQdHa3pl1EFZ/jZcIafn1wup/z8fAoICKA333yTxGIxde3alRYvXkzJycl1rsGFhYXVavBPP/1EXbt2Vamx+P8F5k+dqvyQqabZW926dav1MXNycqhPnz40bNgwKi0t1fRLqcT5fTac339HJpPR8ePHac6cOeTq6komJibk5+dHO3bsoNzc3DrXw8zMTDp9+jRFR0dTeHg4RUVF0bRp08jIyLBaoxcXF2caM2YMtWzZkvT1RWRgoK+yCH5gYCAdP3681sfduXMnGRsbU1hYmKZfRhVNMcP1OsC1e/duEovFtHXrVkpNTaVp06aRhYUF5ebm1ufDNBkymYyOHTumDLmpqSmNHj36mUNeUze3a9euUVFREZ08eZKio6OVg2fFxcW0ePFisre3///BLRHFxcXV+hhbtmwhExMTiomJ0fTLVs3jBxqKr23btim3KS0tpU8++YQsLS3J2NiYfH19KTs7W3M7rQGc3/oll8upoKCAtmzZQiNGjCADAwPq3LkzLVq0iE6cOFHnFsNP6uZ2+PBhZSeZqi3M586dS999990zdUvMzs6m3r170xtvvNGgDqyJOL/PgjNcv2QyGSUmJtLnn39Obdq0IWNjY/Lx8aFt27ZRTk7OM9Xgqt3c9u/fT9OnTycbGxtq1aoVRUZG0quvvkqGhqCQEOFSKMWHTHp6OnV6nD/++INMTEwoPDxc0y9bNZzhuuMM1x+5XE53796l3377jUaNGkWGhobUsWNHmj9/PiUkJDxzDa7azW3Tpk3Uv39/Ze1VdDgdNw508iSodevKATBHR8daHysvL48GDBhAr732GpWUlGj6pVPB+a07zm/9kslklJycTAsWLKB27dqRkZERjRo1igICAigrK6tOA9YlJSWUnZ1N//zzj7IGHzhwgGbOnEl2dnbk6OhIe/fuVTmvrutAeNWvv//+m4yNjVVmQTUUTTHD9dpFsXfv3nj11Vexfv16AMJK/U5OTvj000+xcOHC+nqYJkkul+PUqVMIDAxEcHAwbt++jWHDhsHb2xseHh4wNzev9T7osW5uDx48gEgkQtu2beHg4FBtgV25XA6RSFTrwpjBwcH46KOP8Pfff2PEiBH/6nkyzeH8vjhEhOLiYoSHhyM4OBj79++Ho6MjvL294evri27dukFHR6fW+3m8m5tcLkdGRgb27duHuLhYvPXW2/jpp5+ead9KSkrg5+cHsViMyMhIGBkZPe/TZBrGGX5x5HI5zpw5g6CgIAQHB+PGjRsYOnQovLy8MHLkSGWTl6ehKt3ccnNzIZVKoaOjgzZt2mDdunXYsmUTHj0SFr4tLRW6JYaHR2LQoEFPvd+IiAhMnToVf/zxB3x9fevzaTM14wy/OPfu3UNERASCgoIQHR2NFi1awMvLC76+vujRo8cz1eC8vDzk5+dDLpfj9u3biIqKwoEDUaiokENHR1iE/uFDwM3NDXFxcU+979LSUowdOxYVFRWIioqCqalpfT5tpkac3xdHLpfj/PnzyvPgK1euYMiQIfDy8oKnpycsLS3r1Mihag0uKSmBSCRC69at4ejo+MRF7msTExODt99+GwEBAZgwYcJz3QerX/U2wFVeXg5jY2MEBgbCx8dHebu/vz+KiooQFhZWHw/DIIT83LlzCAwMREhICNLT0/H666/D29sbI0eOrDXkRIRLly4hNzcX9vb2KCwsRElJiUrb5LqGPDw8HO+99x7+/PNPeHt719dTZGrG+VWv+/fvIzIyEsHBwYiKikLz5s3h7e0NHx8f9OzZs9YDbalUiuTkZFhaWkJHRwcFBQXQ09ODra0t7Ozs6nSyDQAPHjzAmDFjQESIjIzkA2stxhlWHyJCamqq8kD70qVLeO211+Dj4wNPT09YWVnVWoOvXLmCrKwsODg44O7duygpKYGpqSliY2Px999/48aNa9i9+28MHz78qfsSHR2NyZMnY+vWrRg3blx9P1WmRpxh9SkpKUFUVBSCg4MRGRkJKysrjBo1Cj4+PujVq1etXQsfPHiA5ORkmJubQ09PD/n5+dDV1cW9e/ewe/duxMTsR8uWTkhJSXlqPS8rK8PEiRNRXFyM/fv31+nDatYwcX7Vh4iQlpamrMGpqakYOHAgfHx8MGrUKDRv3rzWGnz16lXcvn0bLVq0QFFREe7fvw9LS0vY2trC1tZW2VG1NrGxsRg/fjx+/vlnTJo06Zm6pbIXp94GuLKystCyZUscP35cpR39/PnzER8fj6SkpPp4GPYYIsLFixeVg12pqakYNGiQ8kD78ZArBrfy8/PRs2dP5WyNBw8eIC8vD3l5ebh37x4sLCyUg12GhoY1PnZUVBQmT56M7du3Y8yYMWp5vuzF4PxqzoMHDxAdHY2goCBERkbCzMwMXl5e8Pb2Rp8+faodaEulUqSkpKBly5Zo06YNRCIR5HI57ty5o/xUWSQSKQe7LCwsajzALisrw/jx4yGVShEdHQ0zMzN1PWX2AnCGNYOIcPnyZeXMrn/++QcDBgxQHmjb2tpWq8FXrlxBTk4OevbsCWNjYwDCLA7Fp8qKGqw40H5SDT506BAmTJiATZs24a233uIDay3HGdaM0tJS7N+/H8HBwQgPD4exsbGyBvft2xd6enoq2z948AApKSmwt7dHu3btlDX47t27yuNokUgEGxsb2NnZKT+Ielx5eTneeecd5OTkICYmBpaWlup6yuwF4PxqhmKwSjHYdfr0afTt2xc+Pj7w8vKCvb19tRp89epVZGZmws3NTfnBbllZmbIGFxcXw9zcXFmDn3Rlw5EjRzBmzBisXbsW7777LtfgBkSv9k1YQyYSidC5c2csW7YMS5cuRXp6OgIDA7F9+3bMmjUL/fr1g7e3N7y8vGBra4uYmBiYmJioDG4BgLGxMVq1aoVWrVopQ56Tk4NLly7BzMwMdnZ2KiGXSCTw9/dHQEAAD24x9i8YGxvDz88Pfn5+KC0tRUxMDIKDgzF+/HgYGBhg1KhR8PX1Rb9+/XD58mVkZWWhVatWysEtANDR0YGNjQ1sbGwgl8tRWFiIvLw8nDt3DkQEGxsb2NrawtraGjo6Onj48CHeeecdFBUVISYmhge3GHtOIpEIHTp0wBdffIFFixbh2rVrCAoKwq5duzBnzhz07dtXWYPt7e0hkUhgaGioMrgFAEZGRnBxcYGLiwvKysqQn5+P3NxcXL58GWZmZsoDbcW/OXz4MCZOnIiffvqJB7cY+xeMjIzg4+MDHx8flJWVQSKRIDg4GO+88w50dXXh6ekJX19fDBgwANeuXUNGRgZcXFyUg1uAUIObN2+O5s2bo2PHjigqKkJeXh5SU1Mhk8mU+bWysoKuri4qKiowZcoU3L59GxKJhAe3GHtOiqV2Fi5ciAULFuDmzZsICgpCYGAg5s2bh969e8Pb2xve3t5wcHDAoUOHIBaLVQa3AMDQ0BDOzs5wdnbGw4cPlYPVV65cQbNmzZQZNjExAQAkJCRg7NixWLlyJQ9uNUB8iWIjRUTKkAcHByMxMREdO3bEvXv3EB4erlKYn+bhw4fKA+3CwkJIJBIUFhYiKCgIP//8MyZPnsyhbgQ4vw1PeXk5YmNjERgYiLCwMMhkMshkMkydOhXLli2r0/RpIlIeaCtmZ27duhUPHz7EnTt3cOjQIVhbW6vh2bAXjTPcsBARbt26haCgIISEhODYsWPo1KkT7ty5g/DwcHTq1KlOtbO8vFyZ37t37yI+Ph75+fkIDg7G6tWr8eGHH3INbiQ4ww1LRUUF4uPjERgYiNDQUJSVlUFXVxfjx4/Hf//73yfOrKxKsf5m1TV/AgIC8OjRI2RmZiIuLg62trZqeDbsReP8NixEhMzMTAQHByM4OBhHjx5Fx44dkZubi/DwcHTt2rXONTg/Px95eXm4c+cOjh07hqysLOzduxdff/01PvvsM67BDVDtKyrWkWI0VCKRKG+Ty+WQSCQqUzWZeohEIrRq1Qpz587FkSNHMGnSJOTk5KB169Z49dVX8frrr2Pt2rW4fv06njbGaWBgAEdHR7i5uWHQoEEwNzdHfHw8ysvL8f333yMhIUGNz4q9KJzfhkcsFmP48OHYvHkzDh06BCJChw4dsHv3brRp0wYffvghoqKiUFZW9sT7EIlEsLS0RIcOHdC/f3906NABUqkUSUlJSE9Px/z589X4jNiLxBluWEQiEZydnTF79mzExcVh2rRpyMzMRMeOHeHu7o5BgwZhzZo1SE9Pf2oNFovFcHR0xCuvvIJBgwbB0tISR44cQXl5Of73v/8hPj5ejc+KvUic4YZFX18fQ4cOxcaNGxEXFwexWAxXV1eEhYWhdevWeP/99xEREYHS0tIn3odIJIKFhQXat2+P/v37o3PnzigrK0NCQgKuX7+OOXPmPDX/THtwfhsWkUgER0dHzJw5E7GxsZg5cyZu3bqFrl27YsCAAejfvz9WrVqFy5cv11qDW7ZsiR49euC1116DtbU1jh8/jtLSUvzyyy84ePCgGp8Vq6t6G+ACgDlz5mDz5s3Yvn07Ll68iI8//hhSqRRTp06tz4dhz0gkEqF9+/Y4efIk4uLicOvWLUyZMgWHDh1Cjx49MGDAAHz//fe1hvz06dP43//+h/nz56OgoABLliyBi4uLGp8Je5E4vw2XgYEBFi1ahMTERNy+fRuhoaGwsrLC7Nmz4erqinfffRd79+7FgwcPnngfMpkM3333HQoKCpCeno7ExETuetrIcIYbJpFIhDZt2iA5ORmHDh1CZmYmPvjgAxw9ehQ9e/ZE3759sWLFCqSlpT21Bp8/fx5r1qzBjBkzcOfOHXz99ddo1aqV+p4Ie+E4ww2ToaEhZs+ejeTkZGRkZCAyMhL29vZYsGABXF1d4e/vj5CQEEil0ifeh1wux6pVq3D79m2kpaUhJSUFXl5ePPujEeH8NkwikQhOTk5ITEyERCJBdnY2ZsyYgRMnTqB3797o06cPvv32W1y4cOGpNTgtLQ2rVq3Cu+++i7t372L58uVwdXVV4zNhdUb17KeffiJnZ2cSi8XUq1cvSkxMrO+HYPVELpdTfn4+BQQEkIeHB4nFYnrppZdo8eLFlJycTCUlJSSVSkkqldKRI0fIwsKCfvzxR5LL5Wrdz/j4ePL09KQWLVoQAAoJCan2PJYuXUr29vZkaGhIQ4YMocuXL6t1HxsLzq92kclkdPz4cZo7dy61bt2aTExMyM/Pj7Zv3065ubnK/N67d48mT55M7dq1o8zMTLXvJ2dYfTjD2kMul9OdO3do69atNHLkSDIwMKBOnTrRwoULKSkpie7fv6/McGJiIllZWdHy5cu5BjdynGHtIZPJKCkpiebPn0/t2rUjY2Nj8vb2pq1bt1J2drYyv/fv36dp06aRq6sr3bhxQ+37yRlWH86v9pDL5VRYWEjbt28nLy8vMjQ0pPbt29O8efPo+PHjKjU4JSWFbGxsaOnSpVyDtUC9D3Ax7SSXy+nu3bsqIe/QoQPNnz+ftm/fTpaWlrRy5Uq1h5qIaN++fbR48WIKDg6uMdgrVqwgc3NzCg0NpX/++Ye8vLzI1dWVSktL1b6vjGmKTCajlJQUWrhwIbVv356MjIxo1KhRtHnzZpo0aRK1bt2abt68qZF94wwzVruioiL6/fffydfXl4yMjKht27b0+eef044dO6h58+b01VdfcQ1mrIGSyWR0+vRpWrx4MXXq1IkMDAxo5MiRtHHjRnrvvffIycmJrl69qpF94wwzVrvi4mLauXMnjR49mkxMTMjV1ZVmzZpFv//+O9nb29OCBQtIJpOpfb84v89O6wa4eBRTPRQh9/PzIx0dHZo8ebJGDqwf9/h7LpfLyd7enr7//nvlbUVFRWRgYEC7du3SwB6y2nCGXzy5XE5nz56lpUuXKj9JvHbtmqZ3i4g4w9qO86se9+7do927d9PYsWNJR0eHRo8ezTWY1QvO8Isnl8vp/Pnz9NVXX1Hr1q1JT0+vwbyGnGHtxvlVj5KSEtqzZw9NnDiRdHV1ycPDQyODW4/j/NZNva7BpQ5SqRQvv/wyNmzYUOPvV61ahXXr1mHjxo1ISkqCiYkJhg8f/tSFmFl1ZmZmmDhxIoKCgnDjxg1s3ry5Qa4TcP36deTk5GDo0KHK28zNzdG7d29eAL+B4gy/eCKRCF27dsV//vMfXL9+HWlpaQ12nQDOsHbh/KpHs2bNMH78ePz999+4efMm/vjjD67BrF5whl88kUiELl264Msvv0R6ejouX76Mdu3aaXq3asQZ1i6cX/UwMTHBmDFjsHPnTty8eRNBQUHQ0Wl4wyac35rpaXoHnpWHhwc8PDxq/B0RYe3atViyZAm8vb0BADt27ICdnR1CQ0MxYcIEde5qo+Hk5KTpXXiinJwcAICdnZ3K7XZ2dsrfsYaFM6xeOjo6DXZwC+AMaxvOr/o5OjpqeheeiPOrfTjD6iUSibgGs3rD+VW/li1banoXnojzW7OGNxT5L/AoJmPajTPMmPbi/DKm3TjDjGkvzi9jgkY1wMWjmE2Pvb09ACA3N1fl9tzcXOXvmPbgDDc9nOHGg/Pb9HB+GxfOcNPDGW48OL9ND+e3Zo1qgIs1Pa6urrC3t4dEIlHedu/ePSQlJcHd3V2De8YYqwvOMGPai/PLmHbjDDOmvTi/NdO6NbiepuooZosWLZS35+bmonv37hraK/ZvlZSUID09Xfnz9evXcebMGVhZWcHZ2RmzZs3Cf//7X7Rr1w6urq5YunQpHBwc4OPjo7mdZs+FM9w4cYabBs5v48T5bTo4w40TZ7hp4Pw2Tpzf56DRHo7/Ep7QKnP16tXK24qLi5t8q0xtFxsbSwCqffn7+xNRZUtcOzs7MjAwoCFDhtClS5c0u9OsTjjDTQNnuHHi/DYNnN/GizPcNHCGGyfOb9PA+X12IiIidQyk1Zeqo5g9evTADz/8gMGDBytHMVeuXIkVK1Zg+/btylHMs2fP4sKFCzA0NNTw3jPGOMOMaS/OL2PajTPMmPbi/DJWB5oeYXtWPIrJmHbjDDOmvTi/jGk3zjBj2ovzy1jttG6AS1OWL19OPXv2JFNTU7KxsSFvb29KS0tT2aa0tJQ++eQTsrKyIhMTE/Lz86OcnBwN7TFjrCrOMGPai/PLmHbjDDOmvTi/TJtwF8U6io+Px/Tp05GYmIiYmBhUVFTgjTfegFQqVW4ze/ZshIeHY8+ePYiPj0dWVhb8/Pw0uNeMMQXOMGPai/PLmHbjDDOmvTi/TJto3RpcDUV+fj5sbW0RHx+PgQMHori4GDY2Nti5cyfGjBkDAEhLS0OnTp2QkJCAPn36aHiPGWNVcYYZ016cX8a0G2eYMe3F+WUNGc/gek7FxcUAACsrKwDAyZMnUVFRgaFDhyq36dixI5ydnZGQkKCRfWSMPRlnmDHtxfllTLtxhhnTXpxf1pDxANdzkMvlmDVrFvr164eXXnoJAJCTkwOxWAwLCwuVbe3s7JCTk6OBvWSMPQlnmDHtxfllTLtxhhnTXpxf1tDpaXoHtNH06dNx/vx5HD16VNO7whh7DpxhxrQX55cx7cYZZkx7cX5ZQ8czuJ7RjBkzEBERgdjYWDg6Oipvt7e3R3l5OYqKilS2z83Nhb29vZr3kjH2JJxhxrQX55cx7cYZZkx7cX6ZNuABrjoiIsyYMQMhISE4dOgQXF1dVX7v5uYGfX19SCQS5W2XLl1CRkYG3N3d1b27Dd6GDRvQqlUrGBoaonfv3jhx4oSmd4k1cpzh+sUZZurE+a1fnF+mbpzh+sUZZurE+a1fnN8XjFidfPzxx2Rubk5xcXGUnZ2t/Hrw4IFym48++oicnZ3p0KFDlJKSQu7u7uTu7q7BvW6Ydu/eTWKxmLZu3Uqpqak0bdo0srCwoNzcXE3vGmvEOMP1hzPM1I3zW384v0wTOMP1hzPM1I3zW384vy8eD3DVEYAav7Zt26bcprS0lD755BOytLQkY2Nj8vX1pezsbM3tdAPVq1cvmj59uvJnmUxGDg4O9N1332lwr1hjxxmuP5xhpm6c3/rD+WWawBmuP5xhpm6c3/rD+X3xRERE6pgpxhgAlJeXw9jYGIGBgfDx8VHe7u/vj6KiIoSFhWlu5xhjteIMM6a9OL+MaTfOMGPai/OrHrwGl5b45Zdf0K1bN5iZmcHMzAzu7u6IiopS/r6srAzTp0+HtbU1TE1NMXr0aOTm5mpwj2tWUFAAmUwGOzs7ldu5jSxrzBpLfgHOMGuaGkuGOb+sKWos+QU4w6xpaiwZ5vyqBw9waQlHR0esWLECJ0+eREpKCl5//XV4e3sjNTUVADB79myEh4djz549iI+PR1ZWFvz8/DS814wxgPPLmLbjDDOmvTi/jGk3zjB7Jpq+RpI9P0tLSwoICKCioiLS19enPXv2KH938eJFAkAJCQka3MPqHj58SLq6uhQSEqJy++TJk8nLy0szO8WYBmhjfok4w4wpaGOGOb+MCbQxv0ScYcYUtDHDnF/14BlcWkgmk2H37t2QSqVwd3fHyZMnUVFRgaFDhyq36dixI5ydnZGQkKDBPa1OLBbDzc1NpY2sXC6HRCLhNrKsSdDm/AKcYca0OcOcX9bUaXN+Ac4wY9qcYc6veuhpegdY3Z07dw7u7u4oKyuDqakpQkJC0LlzZ5w5cwZisRgWFhYq2zfU63nnzJkDf39/9OzZE7169cLatWshlUoxdepUTe8aYy9MY8kvwBlmTVNjyTDnlzVFjSW/AGeYNU2NJcOc3xePB7i0SIcOHXDmzBkUFxcjMDAQ/v7+iI+P1/RuPbPx48cjPz8fy5YtQ05ODrp3747o6OhqC+4x1pg0lvwCnGHWNDWWDHN+WVPUWPILcIZZ09RYMsz5ffFERESa3gn2fIYOHYo2bdpg/PjxGDJkCAoLC1VGr11cXDBr1izMnj1bczvJGKsR55cx7cYZZkx7cX4Z026cYfYkvAaXFpPL5Xj48CHc3Nygr6+vcj3vpUuXkJGRwdfzMtZAcX4Z026cYca0F+eXMe3GGWZPwpcoaolFixbBw8MDzs7OuH//Pnbu3Im4uDjs378f5ubmeO+99zBnzhxYWVnBzMwMn376Kdzd3dGnTx9N7zpjTR7nlzHtxhlmTHtxfhnTbpxh9ix4gEtL5OXlYfLkycjOzoa5uTm6deuG/fv3Y9iwYQCAH3/8ETo6Ohg9ejQePnyI4cOH4+eff9bwXjPGAM4vY9qOM8yY9uL8MqbdOMPsWfAaXIwxxhhjjDHGGGNMq/EaXIwxxhhjjDHGGGNMq/EAF2OMMcYYY4wxxhjTajzAxRhjjDHGGGOMMca0Gg9wMcYYY4wxxhhjjDGtxgNcjDHGGGOMMcYYY0yr8QAXY4wxxhhjjDHGGNNqPMDFGGOMMcYYY4wxxrQaD3AxxhhjjDHGGGOMMa3GA1yMMcYYY4wxxhhjTKvxABdjjDHGGGOMMcYY02o8wMUYY4wxxhhjjDHGtNr/AQfiOz0o2hiQAAAAAElFTkSuQmCC\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Print the summary of the generator model\n", + "generator.summary()\n", + "\n", + "# Access and print the weights and biases of each layer\n", + "for layer in generator.layers:\n", + " print(f\"Layer Name: {layer.name}\")\n", + " if layer.get_weights():\n", + " weights, biases = layer.get_weights()\n", + " print(f\" Weights shape: {weights.shape}\")\n", + " print(f\" Biases shape: {biases.shape}\")\n", + " # You can print a few sample values for inspection\n", + " print(f\" Sample weights: {weights[:5]}\")\n", + " print(f\" Sample biases: {biases[:5]}\")\n", + " else:\n", + " print(\" No weights or biases for this layer.\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "FM3DX73Jf6lu", + "outputId": "001c7721-081c-445c-8ba4-93df80feb524" + }, + "execution_count": 83, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "\u001b[1mModel: \"sequential_14\"\u001b[0m\n" + ], + "text/html": [ + "
Model: \"sequential_14\"\n",
+              "
\n" + ] + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓\n", + "┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n", + "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩\n", + "│ dense_11 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1024\u001b[0m) │ \u001b[38;5;34m154,624\u001b[0m │\n", + "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", + "│ reshape_7 (\u001b[38;5;33mReshape\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m4\u001b[0m, \u001b[38;5;34m16\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", + "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", + "│ conv3d_transpose_18 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m8\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m65,600\u001b[0m │\n", + "│ (\u001b[38;5;33mConv3DTranspose\u001b[0m) │ │ │\n", + "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", + "│ conv3d_transpose_19 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m16\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m131,104\u001b[0m │\n", + "│ (\u001b[38;5;33mConv3DTranspose\u001b[0m) │ │ │\n", + "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n", + "│ conv3d_transpose_20 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m32\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m2,049\u001b[0m │\n", + "│ (\u001b[38;5;33mConv3DTranspose\u001b[0m) │ │ │\n", + "└──────────────────────────────────────┴─────────────────────────────┴─────────────────┘\n" + ], + "text/html": [ + "
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━┓\n",
+              "┃ Layer (type)                          Output Shape                         Param # ┃\n",
+              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━┩\n",
+              "│ dense_11 (Dense)                     │ (None, 1024)                │         154,624 │\n",
+              "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n",
+              "│ reshape_7 (Reshape)                  │ (None, 4, 4, 4, 16)         │               0 │\n",
+              "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n",
+              "│ conv3d_transpose_18                  │ (None, 8, 8, 8, 64)         │          65,600 │\n",
+              "│ (Conv3DTranspose)                    │                             │                 │\n",
+              "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n",
+              "│ conv3d_transpose_19                  │ (None, 16, 16, 16, 32)      │         131,104 │\n",
+              "│ (Conv3DTranspose)                    │                             │                 │\n",
+              "├──────────────────────────────────────┼─────────────────────────────┼─────────────────┤\n",
+              "│ conv3d_transpose_20                  │ (None, 32, 32, 32, 1)       │           2,049 │\n",
+              "│ (Conv3DTranspose)                    │                             │                 │\n",
+              "└──────────────────────────────────────┴─────────────────────────────┴─────────────────┘\n",
+              "
\n" + ] + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m353,377\u001b[0m (1.35 MB)\n" + ], + "text/html": [ + "
 Total params: 353,377 (1.35 MB)\n",
+              "
\n" + ] + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m353,377\u001b[0m (1.35 MB)\n" + ], + "text/html": [ + "
 Trainable params: 353,377 (1.35 MB)\n",
+              "
\n" + ] + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n" + ], + "text/html": [ + "
 Non-trainable params: 0 (0.00 B)\n",
+              "
\n" + ] + }, + "metadata": {} + }, + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Layer Name: dense_11\n", + " Weights shape: (150, 1024)\n", + " Biases shape: (1024,)\n", + " Sample weights: [[ 0.07185303 0.06524426 0.07375583 ... 0.05891489 0.01358127\n", + " 0.03697716]\n", + " [ 0.0455436 0.01003439 0.01180207 ... 0.00324969 -0.01710569\n", + " -0.00150309]\n", + " [-0.00313397 0.06752088 0.04336544 ... -0.01548398 -0.0062384\n", + " 0.06136793]\n", + " [-0.06524641 -0.01102959 0.07446443 ... 0.01920437 0.02943945\n", + " -0.06383642]\n", + " [ 0.0431999 -0.05327532 0.01837887 ... -0.02689143 0.00682941\n", + " 0.01708768]]\n", + " Sample biases: [-0.01792555 -0.01649897 -0.0087643 -0.02979534 0.02105622]\n", + "Layer Name: reshape_7\n", + " No weights or biases for this layer.\n", + "Layer Name: conv3d_transpose_18\n", + " Weights shape: (4, 4, 4, 64, 16)\n", + " Biases shape: (64,)\n", + " Sample weights: [[[[[-3.31277698e-02 -2.93473024e-02 -3.04422043e-02 ...\n", + " 3.83028761e-02 8.03147792e-04 -2.72965282e-02]\n", + " [-8.13662447e-03 -3.07197426e-03 3.40580917e-03 ...\n", + " -3.49422544e-02 1.34296743e-02 -4.09453921e-02]\n", + " [ 3.57290171e-02 3.70383188e-02 -3.17241475e-02 ...\n", + " 4.22735177e-02 2.46065464e-02 3.87574956e-02]\n", + " ...\n", + " [-3.19198295e-02 3.06820590e-02 -3.82445939e-02 ...\n", + " 3.44985835e-02 4.35630828e-02 3.20619084e-02]\n", + " [ 1.35368258e-02 3.52828652e-02 -1.62600465e-02 ...\n", + " -3.32560465e-02 3.32521759e-02 4.60358970e-02]\n", + " [ 4.42128628e-02 4.11138311e-02 -2.33331672e-03 ...\n", + " 2.87765171e-02 3.76349799e-02 -3.13365534e-02]]\n", + "\n", + " [[-3.60088088e-02 2.85688918e-02 -9.89956199e-04 ...\n", + " 3.61852013e-02 2.79947035e-02 7.05546746e-03]\n", + " [ 2.33244020e-02 3.96295078e-03 -3.12698483e-02 ...\n", + " 1.04768970e-03 2.80219205e-02 6.75323827e-04]\n", + " [-2.70162686e-03 3.38381305e-02 1.68862951e-03 ...\n", + " 1.35206059e-02 2.10068785e-02 2.31987587e-03]\n", + " ...\n", + " [ 7.69028149e-04 4.40184772e-02 1.99008379e-02 ...\n", + " 1.15502095e-02 3.12906015e-03 1.72534131e-03]\n", + " [-2.24578492e-02 2.35306025e-02 3.44460011e-02 ...\n", + " -3.48046049e-02 3.73479910e-02 3.55383232e-02]\n", + " [-1.36078186e-02 -5.70806907e-03 1.48766413e-02 ...\n", + " -1.45465322e-02 4.11536098e-02 3.04154977e-02]]\n", + "\n", + " [[ 3.50090340e-02 -2.27987543e-02 -2.44716126e-02 ...\n", + " -4.52185124e-02 1.77806560e-02 -3.57165448e-02]\n", + " [ 4.20063287e-02 2.29383092e-02 -3.07789110e-02 ...\n", + " -2.17164438e-02 1.33845871e-02 1.80738717e-02]\n", + " [-2.46212725e-02 -1.06623573e-02 -4.30662781e-02 ...\n", + " 2.69666743e-02 -1.08988173e-02 4.72899526e-03]\n", + " ...\n", + " [-2.37066951e-02 -7.93334004e-03 -3.83892655e-02 ...\n", + " -3.72443837e-03 4.73156869e-02 -1.17837247e-02]\n", + " [ 1.15266098e-02 -3.65390070e-02 2.30458602e-02 ...\n", + " -5.56712598e-03 -1.12584177e-02 2.24044900e-02]\n", + " [ 2.09107623e-02 1.15202670e-03 -2.31899116e-02 ...\n", + " 4.87895124e-02 1.73307434e-02 3.51920910e-02]]\n", + "\n", + " [[-3.28710750e-02 -2.93466914e-02 -1.08304732e-02 ...\n", + " 4.36945893e-02 -4.12706612e-03 -3.83682176e-03]\n", + " [ 8.50724336e-03 -3.17312442e-02 3.46070528e-02 ...\n", + " 4.05113883e-02 1.72990058e-02 3.13774624e-04]\n", + " [ 7.20264949e-03 2.52184272e-02 1.51966661e-02 ...\n", + " 4.55388799e-02 2.23843809e-02 -7.38504343e-04]\n", + " ...\n", + " [-2.18178462e-02 2.01103631e-02 -4.40253019e-02 ...\n", + " 7.43922591e-03 -1.67548228e-02 -3.25518809e-02]\n", + " [ 3.87842208e-02 -1.45909097e-02 -1.65598688e-03 ...\n", + " 4.61676195e-02 -3.81378159e-02 1.56696178e-02]\n", + " [-3.55735421e-02 4.43905443e-02 -1.72900986e-02 ...\n", + " -1.46892834e-02 -3.85199487e-02 -2.07038932e-02]]]\n", + "\n", + "\n", + " [[[-4.31225039e-02 2.10956410e-02 2.63899323e-02 ...\n", + " 1.50073040e-02 1.51567217e-02 5.00816200e-03]\n", + " [-2.58513652e-02 3.33610363e-02 -9.27450694e-03 ...\n", + " -8.73606559e-03 -5.40175522e-03 2.92248279e-02]\n", + " [ 1.39262639e-02 -4.82963473e-02 1.40302358e-02 ...\n", + " -4.22708280e-02 4.75489274e-02 1.17180115e-02]\n", + " ...\n", + " [-5.23652555e-03 3.21878977e-02 1.40142059e-02 ...\n", + " 3.99720594e-02 -4.19283845e-02 3.37908007e-02]\n", + " [ 2.59106960e-02 -1.84092410e-02 8.44031107e-03 ...\n", + " 7.96522014e-03 5.07189287e-03 1.77470734e-03]\n", + " [ 3.87703702e-02 3.37608606e-02 3.17340530e-02 ...\n", + " -2.37999074e-02 3.97209339e-02 -7.53221288e-03]]\n", + "\n", + " [[-1.56194763e-02 -3.21169198e-02 2.48641837e-02 ...\n", + " 2.77061909e-02 -2.39121821e-02 -2.69053914e-02]\n", + " [-3.87315564e-02 1.19836126e-02 1.74177065e-02 ...\n", + " -7.18152802e-03 -2.13367958e-02 2.59716883e-02]\n", + " [-3.22852209e-02 -3.26610245e-02 -3.77726592e-02 ...\n", + " 1.48490593e-02 1.03164027e-02 6.29979232e-03]\n", + " ...\n", + " [ 1.79283433e-02 1.29277119e-02 5.02269976e-02 ...\n", + " -5.01802526e-02 9.60067753e-03 2.70223692e-02]\n", + " [-3.82117853e-02 3.41958273e-03 4.67730267e-03 ...\n", + " 7.07860105e-03 -2.57075094e-02 -1.76242627e-02]\n", + " [-4.06315699e-02 -1.53905693e-02 -1.06043108e-02 ...\n", + " -1.10151134e-02 -4.30195257e-02 2.99218632e-02]]\n", + "\n", + " [[-4.77712229e-02 2.61179334e-03 4.19614650e-02 ...\n", + " 1.66244199e-03 4.70125908e-03 2.72786301e-02]\n", + " [ 4.21301201e-02 4.92979251e-02 2.72118840e-02 ...\n", + " 3.69288772e-02 2.39532366e-02 2.85989314e-04]\n", + " [ 6.59799995e-03 2.58077532e-02 4.96967360e-02 ...\n", + " -2.86499271e-03 5.08849733e-02 -1.98026150e-02]\n", + " ...\n", + " [-1.83639750e-02 1.26484716e-02 1.32774152e-02 ...\n", + " 3.34068798e-02 1.64508596e-02 3.59123386e-03]\n", + " [-4.60719913e-02 3.99738662e-02 5.07480353e-02 ...\n", + " 4.15720511e-03 -3.94332223e-02 -3.31930555e-02]\n", + " [-3.68544683e-02 4.48636673e-02 5.05920872e-03 ...\n", + " -1.40804732e-02 2.53938958e-02 -8.43008514e-03]]\n", + "\n", + " [[ 9.82998498e-03 -2.37719789e-02 -2.86946166e-02 ...\n", + " -3.95883434e-02 4.41933535e-02 1.33112690e-03]\n", + " [ 2.86357626e-02 -5.05203614e-03 4.91576716e-02 ...\n", + " -3.15307714e-02 -3.26768612e-03 4.16932395e-04]\n", + " [ 4.18448374e-02 -1.84462946e-02 2.55537257e-02 ...\n", + " -2.33972929e-02 1.64573938e-02 3.89311872e-02]\n", + " ...\n", + " [-2.71080285e-02 1.13839051e-02 3.08397971e-02 ...\n", + " -3.01973801e-02 3.34115177e-02 9.32542374e-04]\n", + " [ 6.86855335e-03 -3.86023568e-03 -1.08871507e-02 ...\n", + " 2.25506704e-02 -3.11542526e-02 2.84067970e-02]\n", + " [-6.05729176e-03 2.05427762e-02 1.42412931e-02 ...\n", + " 2.16846075e-02 2.19298229e-02 -1.50333848e-02]]]\n", + "\n", + "\n", + " [[[-1.47795649e-02 -8.05854972e-04 1.15116648e-02 ...\n", + " -1.36194667e-02 5.41720353e-03 1.41804935e-02]\n", + " [ 3.23049203e-02 -1.32692093e-02 8.72323522e-04 ...\n", + " -7.54927844e-03 -4.85267770e-03 -2.18801778e-02]\n", + " [-3.15669514e-02 3.89939025e-02 -1.39463870e-02 ...\n", + " 1.75002553e-02 3.49917300e-02 -2.62561198e-02]\n", + " ...\n", + " [ 1.28434310e-02 2.20596045e-02 -1.83881205e-02 ...\n", + " 1.94366556e-03 8.26480146e-03 -1.60947777e-02]\n", + " [ 8.48540943e-03 -3.87085862e-02 3.92056555e-02 ...\n", + " 4.08570319e-02 -3.62110808e-02 1.51786515e-02]\n", + " [-4.27497625e-02 -4.63889986e-02 3.12161818e-02 ...\n", + " 4.34402972e-02 1.50201153e-02 3.87284122e-02]]\n", + "\n", + " [[ 2.65058111e-02 -4.15904187e-02 3.21161821e-02 ...\n", + " -7.44874636e-03 -4.50348891e-02 -4.69380282e-02]\n", + " [-5.21880910e-02 -2.56222617e-02 -2.42151041e-02 ...\n", + " -1.30755277e-02 1.24709336e-02 3.05588078e-02]\n", + " [-1.25405937e-02 -4.05159965e-03 2.43328996e-02 ...\n", + " 3.05411331e-02 5.84652647e-03 5.10505885e-02]\n", + " ...\n", + " [ 2.31566336e-02 9.53340146e-04 -1.47799384e-02 ...\n", + " 2.38538883e-03 4.44821641e-02 -3.05058286e-02]\n", + " [ 1.04715573e-02 1.73022345e-04 -2.44390359e-03 ...\n", + " 1.53458873e-02 9.12036933e-03 3.38051207e-02]\n", + " [ 4.25237454e-02 -4.20076512e-02 1.63995549e-02 ...\n", + " 4.15495709e-02 -4.51902263e-02 -2.20378432e-02]]\n", + "\n", + " [[-4.17428352e-02 4.26775068e-02 5.08510470e-02 ...\n", + " 4.12084460e-02 2.39948723e-02 -3.37301642e-02]\n", + " [ 1.43690817e-02 -3.50276195e-02 -3.19620594e-02 ...\n", + " 8.13243352e-03 2.26978268e-02 -1.81445666e-02]\n", + " [-2.48640217e-02 -2.03785077e-02 -3.78566072e-03 ...\n", + " 4.35896441e-02 -4.06950116e-02 -1.73254199e-02]\n", + " ...\n", + " [ 2.77429223e-02 -4.00117831e-03 -1.07098520e-02 ...\n", + " -3.63552943e-02 -3.23152430e-02 2.74742097e-02]\n", + " [ 2.30236296e-02 3.13017219e-02 -2.87316404e-02 ...\n", + " -4.23749872e-02 -4.58619669e-02 -2.14013718e-02]\n", + " [ 1.64286867e-02 9.50389821e-03 -9.96415596e-03 ...\n", + " 3.11064371e-03 3.90347391e-02 4.74898964e-02]]\n", + "\n", + " [[-4.64248769e-02 3.00428867e-02 -5.09839766e-02 ...\n", + " 4.66397740e-02 3.40532660e-02 1.62687413e-02]\n", + " [-9.94625152e-05 2.18261946e-02 -9.44897416e-04 ...\n", + " 2.09342618e-03 -6.10693311e-03 1.95084568e-02]\n", + " [-3.13449986e-02 -2.85512153e-02 4.75601293e-02 ...\n", + " 4.13812399e-02 2.11349614e-02 -6.68537337e-03]\n", + " ...\n", + " [ 1.49806375e-02 1.09973568e-02 -2.27700807e-02 ...\n", + " -4.50489447e-02 2.49052625e-02 -1.36196474e-03]\n", + " [ 1.19047156e-02 -4.29352112e-02 -1.29332067e-03 ...\n", + " -3.41298454e-03 -1.73492618e-02 2.07893010e-02]\n", + " [ 2.20371038e-02 -1.32026738e-02 3.73407416e-02 ...\n", + " 2.42372546e-02 4.23153080e-02 -2.94710440e-03]]]\n", + "\n", + "\n", + " [[[-1.20824454e-02 -8.25614482e-03 -4.22815308e-02 ...\n", + " -4.24818974e-03 2.25898228e-03 3.87246720e-03]\n", + " [-4.38002273e-02 -2.49920543e-02 -1.25136664e-02 ...\n", + " 2.13949233e-02 4.42033783e-02 2.05219556e-02]\n", + " [-1.21102920e-02 3.90960723e-02 2.16219109e-02 ...\n", + " -1.98696963e-02 -1.45904450e-02 -2.35955734e-02]\n", + " ...\n", + " [-2.32101791e-02 3.18658128e-02 1.92832779e-02 ...\n", + " 1.23595446e-02 -4.59686853e-02 -4.06521149e-02]\n", + " [-1.76734459e-02 -5.14431261e-02 -3.46987545e-02 ...\n", + " 2.50845659e-03 1.36929536e-02 1.32880835e-02]\n", + " [ 6.79146685e-03 3.68114226e-02 2.64591984e-02 ...\n", + " -9.42049921e-03 -2.18089428e-02 2.66636200e-02]]\n", + "\n", + " [[ 1.52687635e-02 3.19309160e-02 -2.38473099e-02 ...\n", + " -4.69025783e-02 -3.62851992e-02 -2.60303747e-02]\n", + " [-3.25039588e-02 3.93514372e-02 5.30373491e-03 ...\n", + " 4.61653508e-02 8.18964001e-03 -2.77417805e-02]\n", + " [-2.37578992e-02 -2.05552448e-02 5.25768250e-02 ...\n", + " 7.82590546e-03 1.36349909e-02 -3.02129798e-02]\n", + " ...\n", + " [-2.64435746e-02 -4.44121705e-03 -2.87257340e-02 ...\n", + " -4.20690440e-02 3.46414149e-02 7.76269194e-03]\n", + " [-1.27802538e-02 2.98470147e-02 1.67463534e-02 ...\n", + " 1.30568212e-02 3.80195230e-02 -3.56676355e-02]\n", + " [-3.39272246e-02 4.27950965e-03 4.31991890e-02 ...\n", + " -2.96256617e-02 -2.36784108e-02 8.87213740e-03]]\n", + "\n", + " [[ 3.44088227e-02 8.96721892e-03 -4.49760864e-03 ...\n", + " -4.01282087e-02 2.02736463e-02 6.12393767e-03]\n", + " [-1.45271495e-02 1.09639186e-02 -4.75889770e-03 ...\n", + " 8.23721942e-03 -4.33539413e-02 -3.59302238e-02]\n", + " [ 1.26356222e-02 -1.93862356e-02 3.65345404e-02 ...\n", + " 4.01963890e-02 2.50941627e-02 -3.20985466e-02]\n", + " ...\n", + " [ 3.98056880e-02 4.48240601e-02 6.36097451e-04 ...\n", + " -4.86293845e-02 -4.65585776e-02 2.60898639e-02]\n", + " [-4.98422363e-04 -2.60469150e-02 -3.43848467e-02 ...\n", + " 4.50642128e-03 3.51717994e-02 2.82276571e-02]\n", + " [ 9.74985189e-04 -3.65996361e-02 -2.64013913e-02 ...\n", + " -2.53606141e-02 -2.02601627e-02 3.83734927e-02]]\n", + "\n", + " [[-1.40887443e-02 4.46024798e-02 1.49682059e-03 ...\n", + " -4.14173380e-02 2.96371114e-02 7.88040087e-03]\n", + " [-3.74130495e-02 -1.16474126e-02 -9.82068852e-03 ...\n", + " -3.88361290e-02 -4.30183206e-03 2.66893860e-02]\n", + " [ 4.66568135e-02 4.39548641e-02 -8.88338313e-03 ...\n", + " -3.68080996e-02 1.85433105e-02 3.22761759e-02]\n", + " ...\n", + " [ 4.21486795e-02 -7.99775589e-03 -4.21558321e-02 ...\n", + " -2.72425450e-02 -3.49106751e-02 1.81246325e-02]\n", + " [ 1.36102242e-02 3.44306305e-02 -2.89540360e-04 ...\n", + " -2.10312232e-02 -1.89410597e-02 -3.54393050e-02]\n", + " [ 1.61671974e-02 -4.52769212e-02 -3.48360464e-02 ...\n", + " -1.82177052e-02 2.01944374e-02 -1.13259926e-02]]]]\n", + "\n", + "\n", + "\n", + " [[[[-1.62835587e-02 -3.62021551e-02 -3.30401696e-02 ...\n", + " 8.44988320e-03 -3.60483341e-02 -3.17137465e-02]\n", + " [ 3.22636403e-02 3.95544432e-02 -3.67691480e-02 ...\n", + " -4.55333404e-02 -1.28119066e-02 -2.20174529e-02]\n", + " [-4.07476053e-02 -1.56604312e-02 1.49410730e-02 ...\n", + " -2.55499016e-02 -3.29789631e-02 4.60199602e-02]\n", + " ...\n", + " [ 3.13828140e-02 -3.61016579e-02 4.90727983e-02 ...\n", + " -3.50512415e-02 4.50987741e-02 4.01859395e-02]\n", + " [ 3.03167272e-02 1.11558847e-02 -1.47201102e-02 ...\n", + " 1.15079600e-02 -3.24292332e-02 4.78783734e-02]\n", + " [ 1.97206996e-03 3.79995704e-02 1.58831733e-03 ...\n", + " 4.50228341e-02 1.29271504e-02 1.39453383e-02]]\n", + "\n", + " [[ 5.03232256e-02 5.00107743e-02 2.19185427e-02 ...\n", + " -4.31190021e-02 -3.53707634e-02 2.12235209e-02]\n", + " [ 1.38733322e-02 -3.36906873e-02 3.22819464e-02 ...\n", + " 1.87452845e-02 3.77940610e-02 1.82965025e-02]\n", + " [-2.38347538e-02 -3.80629152e-02 2.67614219e-02 ...\n", + " 6.74074236e-03 3.76634784e-02 5.20549752e-02]\n", + " ...\n", + " [-4.44570817e-02 2.16556918e-02 -3.64718772e-02 ...\n", + " 1.59824593e-03 1.50954677e-02 4.16449644e-02]\n", + " [-3.29781510e-02 4.63447161e-03 -4.19963859e-02 ...\n", + " -2.97963107e-03 4.70407233e-02 -3.07980087e-02]\n", + " [-1.44845527e-02 -2.06854384e-04 -2.33862884e-02 ...\n", + " 7.27493037e-03 4.39376794e-02 1.63726993e-02]]\n", + "\n", + " [[-3.39024328e-02 4.26513776e-02 2.61185262e-02 ...\n", + " -1.89695898e-02 5.89045370e-03 6.84663327e-03]\n", + " [ 4.78541516e-02 -4.40791510e-02 4.12784442e-02 ...\n", + " -1.53689757e-02 1.08475201e-02 -4.01881002e-02]\n", + " [-4.07891385e-02 4.54254337e-02 -3.01463734e-02 ...\n", + " 1.63730122e-02 1.29980324e-02 4.99723256e-02]\n", + " ...\n", + " [ 2.26425715e-02 -2.69470196e-02 -4.11985517e-02 ...\n", + " -1.18328538e-02 -1.27601000e-02 -2.67982427e-02]\n", + " [-2.93699112e-02 2.54617613e-02 3.66236083e-02 ...\n", + " -1.94886364e-02 1.09480461e-02 1.21327890e-02]\n", + " [-2.62791943e-03 5.31702228e-02 -2.57361736e-02 ...\n", + " -9.65199713e-03 2.00791284e-02 -1.47845913e-02]]\n", + "\n", + " [[-1.24829188e-02 -3.37140597e-02 -6.44608494e-03 ...\n", + " 4.22481634e-02 2.48741806e-02 -2.42980532e-02]\n", + " [ 2.65970230e-02 4.33162190e-02 3.72330770e-02 ...\n", + " -3.24653946e-02 -2.51467545e-02 -3.07353958e-03]\n", + " [ 1.38931209e-02 2.22028363e-02 9.76112578e-03 ...\n", + " 3.55151668e-02 3.73605266e-02 5.10052666e-02]\n", + " ...\n", + " [-3.60450745e-02 2.09072549e-02 -4.38504331e-02 ...\n", + " -4.10062820e-02 1.78115908e-02 -4.55504693e-02]\n", + " [ 5.97336283e-03 -3.73421446e-03 -2.02979166e-02 ...\n", + " -5.91587508e-03 -4.17219996e-02 -3.25910933e-02]\n", + " [-4.54229861e-03 -8.47785082e-03 -3.24933901e-02 ...\n", + " -5.35287568e-03 -5.63767785e-03 2.91673373e-02]]]\n", + "\n", + "\n", + " [[[-2.73318850e-02 3.87296565e-02 9.62807983e-03 ...\n", + " -3.02724075e-02 3.08701377e-02 -3.61696109e-02]\n", + " [-4.26721945e-02 4.98770103e-02 -3.73533985e-04 ...\n", + " 4.93830210e-03 3.71275134e-02 3.18006985e-02]\n", + " [-1.11905187e-02 -2.49100663e-02 5.28931431e-03 ...\n", + " 3.04619614e-02 5.26731368e-03 2.74473447e-02]\n", + " ...\n", + " [ 7.00681051e-03 3.84086855e-02 3.48911807e-02 ...\n", + " -1.61078703e-02 4.03680019e-02 4.41051461e-02]\n", + " [-1.57546606e-02 -7.74006592e-03 4.59290668e-02 ...\n", + " -3.87041159e-02 -2.22366452e-02 -6.62319316e-03]\n", + " [-2.14226581e-02 2.94783730e-02 1.49036786e-02 ...\n", + " -1.28464699e-02 4.21959627e-03 -1.33112939e-02]]\n", + "\n", + " [[-4.02866341e-02 1.34580527e-02 4.72866260e-02 ...\n", + " -7.59052532e-03 -4.49603237e-02 -9.39223729e-03]\n", + " [ 3.22579965e-02 3.24081350e-03 -1.68855004e-02 ...\n", + " 3.82427387e-02 2.38397364e-02 -3.33071202e-02]\n", + " [-3.79385278e-02 -4.84512039e-02 -3.85679631e-03 ...\n", + " 1.47487614e-02 -1.29329385e-02 -3.77747007e-02]\n", + " ...\n", + " [-3.38302813e-02 -1.28219686e-02 3.02223507e-02 ...\n", + " 1.45826740e-02 -4.74817827e-02 -8.38469621e-03]\n", + " [ 3.82687338e-02 3.88788581e-02 -2.66429018e-02 ...\n", + " 2.79093161e-02 -3.60838436e-02 1.43477889e-02]\n", + " [-3.10057998e-02 -5.41270860e-02 9.76188853e-03 ...\n", + " 3.43488678e-02 1.48913646e-02 3.74052413e-02]]\n", + "\n", + " [[-4.84865941e-02 -1.73902151e-03 7.60067836e-04 ...\n", + " 3.11966594e-02 -2.30134856e-02 -4.02505277e-04]\n", + " [ 2.58519631e-02 2.84743328e-02 5.34369498e-02 ...\n", + " 3.90132554e-02 -4.07472253e-02 -3.87996808e-02]\n", + " [-1.47368191e-02 -6.88179338e-04 4.49511334e-02 ...\n", + " -1.08501054e-02 3.24601568e-02 5.37857935e-02]\n", + " ...\n", + " [-4.53792475e-02 -7.32417568e-04 9.66125913e-03 ...\n", + " -2.06352845e-02 -4.90211416e-03 -1.45875348e-03]\n", + " [-1.05574392e-02 3.07648107e-02 -4.79396358e-02 ...\n", + " -1.36679048e-02 2.21180059e-02 2.57657617e-02]\n", + " [ 7.88830686e-03 3.31331864e-02 1.23587335e-02 ...\n", + " 3.31789777e-02 4.49515283e-02 -5.22096306e-02]]\n", + "\n", + " [[-2.22550612e-02 4.81114201e-02 -2.15690602e-02 ...\n", + " 2.77037378e-02 4.30423096e-02 -7.75353098e-03]\n", + " [-3.93353403e-02 -5.17072603e-02 3.95016707e-02 ...\n", + " -8.50848760e-03 4.63879630e-02 1.79948676e-02]\n", + " [ 2.82140449e-02 1.64737925e-02 2.15424635e-02 ...\n", + " 2.25778241e-02 2.46252934e-03 4.62544449e-02]\n", + " ...\n", + " [ 4.87532802e-02 -1.85555276e-02 -5.86817227e-03 ...\n", + " 2.86374736e-04 4.64591347e-02 4.85763997e-02]\n", + " [ 4.54590879e-02 2.98181865e-02 -2.75067911e-02 ...\n", + " -5.60640218e-03 4.42602709e-02 1.17458953e-02]\n", + " [ 4.33959588e-02 -5.31326456e-04 9.51860659e-03 ...\n", + " 2.85702627e-02 2.92773377e-02 8.63462593e-03]]]\n", + "\n", + "\n", + " [[[ 4.05811667e-02 -3.88048068e-02 -1.51145849e-02 ...\n", + " -2.63093207e-02 3.60443294e-02 1.92211736e-02]\n", + " [-1.78910829e-02 3.12615819e-02 -1.68267954e-02 ...\n", + " -7.90202804e-03 3.81617174e-02 3.91939618e-02]\n", + " [ 1.21281501e-02 -4.60815243e-02 -9.59619414e-03 ...\n", + " -1.02309575e-02 -5.06488048e-03 5.50075807e-03]\n", + " ...\n", + " [-2.86963116e-02 -4.40364331e-02 1.62958857e-02 ...\n", + " 4.03761752e-02 3.24566066e-02 1.12577947e-02]\n", + " [ 4.66997996e-02 1.10917864e-02 4.65008132e-02 ...\n", + " -1.34489043e-02 2.99485251e-02 1.60379391e-02]\n", + " [ 2.74750702e-02 3.45960371e-02 -3.35363820e-02 ...\n", + " -4.07640189e-02 5.08614369e-02 1.01463292e-02]]\n", + "\n", + " [[ 2.44821031e-02 -2.82345084e-03 -9.79787856e-03 ...\n", + " 4.02722508e-02 5.90755697e-03 1.32699925e-02]\n", + " [ 4.56983149e-02 -7.55990762e-03 5.26124202e-02 ...\n", + " 1.24167965e-03 -3.07615716e-02 4.12712172e-02]\n", + " [-2.22000014e-02 9.83269606e-03 8.59520305e-03 ...\n", + " -3.52533832e-02 2.18020827e-02 4.37571593e-02]\n", + " ...\n", + " [-1.43235771e-03 -4.53747697e-02 3.63916717e-02 ...\n", + " 8.89050867e-03 4.69042882e-02 1.31403366e-02]\n", + " [-2.13888790e-02 3.33365649e-02 -8.95728299e-05 ...\n", + " 4.59377058e-02 3.32616083e-02 -3.17025408e-02]\n", + " [ 4.07107407e-03 -4.79860529e-02 -4.81331125e-02 ...\n", + " 1.76244210e-02 3.22962627e-02 -7.67770875e-03]]\n", + "\n", + " [[ 6.99867727e-03 -3.00458521e-02 -3.39017361e-02 ...\n", + " -6.99881231e-03 -2.62090564e-03 5.10073230e-02]\n", + " [ 1.04937516e-02 -2.24379897e-02 1.72042493e-02 ...\n", + " 2.93071494e-02 1.20376870e-02 -3.96197923e-02]\n", + " [ 2.92950552e-02 6.48689829e-03 2.01043673e-02 ...\n", + " -3.29669239e-03 5.33617921e-02 -5.49136735e-02]\n", + " ...\n", + " [ 3.76627930e-02 2.66430993e-02 -4.28376719e-02 ...\n", + " -3.93815935e-02 3.93122844e-02 4.14967388e-02]\n", + " [ 7.71534257e-03 5.69497682e-02 -3.17787677e-02 ...\n", + " -4.30145599e-02 -1.28373904e-02 -1.76776052e-02]\n", + " [-4.82789166e-02 1.85578968e-02 -4.20010760e-02 ...\n", + " -1.15059747e-03 4.17822525e-02 -3.24596539e-02]]\n", + "\n", + " [[-1.90364942e-02 -4.40460853e-02 -3.59341092e-02 ...\n", + " 2.98808906e-02 -3.75413299e-02 2.29351576e-02]\n", + " [ 4.78020720e-02 -3.52259143e-03 -3.92917618e-02 ...\n", + " -4.30158488e-02 -3.32415476e-02 -1.20976623e-02]\n", + " [-2.21157037e-02 4.40552346e-02 -3.53595801e-02 ...\n", + " 1.84097160e-02 -4.74414937e-02 -6.53674547e-03]\n", + " ...\n", + " [-3.60280685e-02 4.26957086e-02 4.08239663e-02 ...\n", + " 7.98898004e-03 5.43281995e-02 1.55015755e-02]\n", + " [-2.79882341e-03 1.75629556e-02 -4.86124568e-02 ...\n", + " 2.85117812e-02 3.04880328e-02 -1.50879640e-02]\n", + " [-7.25344941e-03 3.71651538e-02 -3.35660726e-02 ...\n", + " 3.94348241e-03 -4.11560424e-02 -9.84219741e-03]]]\n", + "\n", + "\n", + " [[[ 1.35736782e-02 -4.15686890e-02 1.29749132e-02 ...\n", + " 2.25605909e-02 2.28778198e-02 1.42703094e-02]\n", + " [ 2.23302599e-02 -5.10568172e-02 2.47157309e-02 ...\n", + " 2.30349526e-02 -2.24670172e-02 5.14750630e-02]\n", + " [ 3.22265066e-02 -3.37863415e-02 -1.62949115e-02 ...\n", + " 1.24712680e-02 1.10419914e-02 -2.56047007e-02]\n", + " ...\n", + " [ 3.38323787e-02 2.30047572e-02 2.42500622e-02 ...\n", + " 2.15944694e-03 2.41285153e-02 -1.48279965e-02]\n", + " [-1.95595361e-02 -4.20957617e-02 -2.18168553e-02 ...\n", + " -9.91476048e-03 3.61350589e-02 1.95096377e-02]\n", + " [-3.44712138e-02 8.98396038e-03 1.35401376e-02 ...\n", + " -1.69125050e-02 2.87376102e-02 -4.78654541e-02]]\n", + "\n", + " [[ 3.60223241e-02 -3.51811424e-02 -7.96829071e-03 ...\n", + " 2.15262314e-03 4.36831359e-03 -2.39554308e-02]\n", + " [-3.86955850e-02 2.28528976e-02 -4.34084535e-02 ...\n", + " 2.11501680e-02 -7.32087670e-03 1.66197661e-02]\n", + " [-2.97249220e-02 -2.10418906e-02 -3.04120705e-02 ...\n", + " 4.03266624e-02 8.79268534e-03 -4.40302379e-02]\n", + " ...\n", + " [ 2.54257629e-03 -4.89312373e-02 4.27373946e-02 ...\n", + " 2.54399739e-02 -2.94051357e-02 3.47498097e-02]\n", + " [-1.33813452e-02 -1.50583265e-03 2.92927790e-02 ...\n", + " 1.11830402e-02 2.29378492e-02 -1.07650273e-02]\n", + " [ 2.81221084e-02 -1.51296249e-02 3.80856991e-02 ...\n", + " -4.00233641e-02 -2.37408150e-02 1.72563791e-02]]\n", + "\n", + " [[ 4.17148136e-02 -4.24535461e-02 3.43602709e-02 ...\n", + " 4.11150083e-02 -1.84879871e-03 -4.43346910e-02]\n", + " [-4.38586362e-02 3.70995626e-02 3.57552804e-02 ...\n", + " -3.03433090e-03 -2.28100289e-02 1.53372018e-02]\n", + " [-1.27528026e-03 3.08204647e-02 -2.63183657e-02 ...\n", + " -7.75253633e-04 -4.66620587e-02 -3.29493731e-02]\n", + " ...\n", + " [-2.41770484e-02 -7.49012595e-03 2.18494367e-02 ...\n", + " 2.39055268e-02 2.74123698e-02 4.82018366e-02]\n", + " [-3.80288884e-02 -6.99833222e-03 3.54433879e-02 ...\n", + " 9.04652383e-03 4.33685631e-02 -4.89066057e-02]\n", + " [-6.55571464e-03 -5.40843606e-02 -2.88724937e-02 ...\n", + " -2.13115029e-02 2.38612425e-02 4.44614701e-02]]\n", + "\n", + " [[-7.38573493e-03 3.63402185e-03 -1.48703652e-02 ...\n", + " -2.71881912e-02 -2.87205633e-02 -3.23545411e-02]\n", + " [-4.70012147e-03 -5.34375384e-03 -2.81336345e-02 ...\n", + " -2.30818335e-02 3.05971727e-02 3.77820134e-02]\n", + " [-2.47877482e-02 2.47837491e-02 -2.91809402e-02 ...\n", + " -3.43504082e-03 -4.34124330e-03 2.59283162e-03]\n", + " ...\n", + " [-3.35002020e-02 -9.71813966e-03 2.57714074e-02 ...\n", + " -2.48585902e-02 -3.05304751e-02 3.65885496e-02]\n", + " [ 2.16489173e-02 4.27329242e-02 2.30186954e-02 ...\n", + " -2.25272775e-02 4.59252447e-02 -1.69085674e-02]\n", + " [ 4.91737686e-02 3.64845321e-02 3.41567397e-02 ...\n", + " -3.11784763e-02 -8.43863003e-03 -4.07003760e-02]]]]\n", + "\n", + "\n", + "\n", + " [[[[-1.29120215e-03 2.21800222e-03 -4.46154326e-02 ...\n", + " 1.37195922e-02 3.45040783e-02 -1.96885951e-02]\n", + " [ 2.85349460e-03 -4.95066540e-03 3.75990546e-03 ...\n", + " 7.81380106e-03 4.93442193e-02 -9.55219101e-03]\n", + " [ 3.82255204e-02 -1.48001341e-02 3.35835069e-02 ...\n", + " -1.77118406e-02 4.80496138e-02 -2.49446388e-02]\n", + " ...\n", + " [ 3.46618704e-02 2.87918914e-02 1.67881493e-02 ...\n", + " -2.95940153e-02 -3.56862992e-02 3.74195166e-02]\n", + " [-4.17473987e-02 -3.05589475e-02 -2.87896711e-02 ...\n", + " -2.90079955e-02 -1.64883770e-02 4.36731353e-02]\n", + " [-2.34259330e-02 4.55203019e-02 4.84002419e-02 ...\n", + " -3.21170315e-02 -6.16468582e-03 3.45288180e-02]]\n", + "\n", + " [[-4.71189618e-02 -4.20777239e-02 2.10206527e-02 ...\n", + " 2.82694045e-02 -1.51694259e-02 2.64266096e-02]\n", + " [-2.22732145e-02 3.90543491e-02 4.44606924e-03 ...\n", + " -7.76635716e-03 -2.09427066e-02 1.63662359e-02]\n", + " [-7.52456021e-03 -3.47180152e-03 -1.56742111e-02 ...\n", + " -2.75647752e-02 -1.37719736e-02 -1.31423762e-02]\n", + " ...\n", + " [ 1.85539182e-02 4.59420420e-02 -9.79672465e-03 ...\n", + " -3.99823971e-02 -3.40627804e-02 4.85285074e-02]\n", + " [ 4.58631106e-02 -1.64754596e-02 4.34896015e-02 ...\n", + " -3.79535109e-02 -4.00532298e-02 2.77104676e-02]\n", + " [-3.16097774e-02 -2.09859349e-02 3.48626412e-02 ...\n", + " -4.01182063e-02 4.67988513e-02 -1.45748742e-02]]\n", + "\n", + " [[ 5.13700582e-02 -1.81831457e-02 4.37419005e-02 ...\n", + " -4.82397750e-02 -6.28850097e-03 -2.90129203e-02]\n", + " [ 4.47028056e-02 -2.92427279e-02 -1.30737515e-03 ...\n", + " 2.27404162e-02 4.70306575e-02 3.77593413e-02]\n", + " [-2.38881242e-02 8.68318696e-03 -3.48339938e-02 ...\n", + " 3.09057496e-02 -4.15272266e-02 -1.21154692e-02]\n", + " ...\n", + " [ 3.96930948e-02 -6.89869747e-04 -2.53361855e-02 ...\n", + " -5.21468371e-02 -3.55801657e-02 -3.23126768e-03]\n", + " [-1.49949109e-02 -4.53570560e-02 -5.05836727e-03 ...\n", + " -3.05005014e-02 -2.05979613e-03 2.88961045e-02]\n", + " [-3.54467556e-02 -1.92799680e-02 -2.81407349e-02 ...\n", + " 3.40593234e-02 5.34147397e-02 -5.57690673e-03]]\n", + "\n", + " [[ 1.95115376e-02 -3.29035260e-02 -7.80658470e-03 ...\n", + " 2.00012196e-02 -3.45901996e-02 1.83938425e-02]\n", + " [ 4.73920110e-04 -1.14976363e-02 6.60944218e-03 ...\n", + " -3.19908932e-02 8.26103613e-03 -2.60760318e-02]\n", + " [-1.54417921e-02 -2.37682107e-04 3.44392993e-02 ...\n", + " 4.86329496e-02 3.86157702e-03 1.02402521e-02]\n", + " ...\n", + " [ 2.56784000e-02 -4.01059799e-02 -4.11314378e-03 ...\n", + " 2.92062908e-02 -3.00325789e-02 -2.91130096e-02]\n", + " [-2.15974264e-02 1.96290966e-02 4.71676961e-02 ...\n", + " -4.17487398e-02 -1.16727808e-02 1.39188608e-02]\n", + " [-3.18100452e-02 -9.52401571e-03 3.25810187e-03 ...\n", + " 4.43579927e-02 -6.93240063e-03 -1.88360456e-02]]]\n", + "\n", + "\n", + " [[[-3.51668261e-02 4.44988497e-02 2.62667462e-02 ...\n", + " 4.12671641e-02 -3.53620239e-02 6.66930154e-03]\n", + " [-7.83680938e-03 1.36553049e-02 3.28366621e-03 ...\n", + " 4.79472056e-02 1.88757782e-03 4.88272831e-02]\n", + " [ 3.27772386e-02 -9.18815657e-03 1.24851801e-03 ...\n", + " 7.78175099e-03 7.12426938e-03 4.00204845e-02]\n", + " ...\n", + " [ 2.40498986e-02 -7.70766102e-03 -3.55648585e-02 ...\n", + " -4.21892777e-02 4.03360315e-02 5.13309501e-02]\n", + " [-9.29789990e-03 2.97577903e-02 5.09238383e-03 ...\n", + " -1.36184851e-02 4.67297174e-02 3.26437466e-02]\n", + " [-2.24196129e-02 4.67237867e-02 -3.62427421e-02 ...\n", + " 2.03614961e-02 7.31606642e-03 -2.48021241e-02]]\n", + "\n", + " [[ 3.98367569e-02 4.00296934e-02 -2.66571175e-02 ...\n", + " -4.22113687e-02 1.30846433e-03 5.34556806e-02]\n", + " [ 1.47857331e-02 -4.15671393e-02 -4.05609757e-02 ...\n", + " 2.02001687e-02 5.35099581e-02 4.77429032e-02]\n", + " [-4.03903536e-02 -1.90486442e-02 4.67692725e-02 ...\n", + " 2.15507746e-02 1.75822549e-03 1.45894084e-02]\n", + " ...\n", + " [ 3.63885053e-02 -5.31348847e-02 2.50109453e-02 ...\n", + " 4.86610197e-02 1.49858287e-02 1.85877271e-02]\n", + " [-2.90980358e-02 1.75657042e-03 2.88304631e-02 ...\n", + " -3.78058515e-02 -2.98408251e-02 3.58423707e-03]\n", + " [-9.60851088e-04 -2.39979085e-02 -1.53132966e-02 ...\n", + " -1.40764741e-02 -3.31205651e-02 -2.24239100e-02]]\n", + "\n", + " [[ 4.95046657e-03 5.53074256e-02 4.33060676e-02 ...\n", + " 2.16541551e-02 -4.22286475e-03 -7.83563405e-03]\n", + " [ 6.10130187e-03 -4.39758152e-02 -1.18706413e-02 ...\n", + " -1.79434307e-02 3.46283503e-02 4.14955020e-02]\n", + " [ 4.87363487e-02 -2.71126013e-02 2.94367112e-02 ...\n", + " -2.67376564e-02 -4.78873551e-02 -3.14215571e-02]\n", + " ...\n", + " [-5.06489128e-02 1.37135787e-02 -3.04083377e-02 ...\n", + " 4.32872698e-02 5.76798990e-02 -2.51417588e-02]\n", + " [-4.14489061e-02 -2.34939624e-02 1.82325430e-02 ...\n", + " -1.29285613e-02 5.57065615e-03 -1.07237417e-02]\n", + " [ 3.19354869e-02 -3.52744088e-02 4.51407162e-03 ...\n", + " -4.44684662e-02 4.74496670e-02 4.18238267e-02]]\n", + "\n", + " [[-7.63115054e-03 -2.42893435e-02 3.16934683e-03 ...\n", + " 3.04238368e-02 4.87840027e-02 -1.47604831e-02]\n", + " [-1.96395908e-03 -2.89701801e-02 3.25069055e-02 ...\n", + " 3.80025432e-02 5.36096934e-03 -3.79809961e-02]\n", + " [ 4.62660976e-02 6.26386236e-03 -4.06714231e-02 ...\n", + " -8.73160362e-03 2.66248174e-02 -2.73710862e-02]\n", + " ...\n", + " [ 1.07713323e-02 5.21059930e-02 -1.26877241e-03 ...\n", + " 1.80317145e-02 -1.34685310e-03 -1.15849311e-02]\n", + " [ 9.13808215e-03 1.94199514e-02 1.27109308e-02 ...\n", + " 2.00212747e-02 2.79236864e-03 3.43519114e-02]\n", + " [-3.95696471e-03 -4.28024754e-02 -4.37251069e-02 ...\n", + " 2.14197543e-02 -4.37510125e-02 -4.58583012e-02]]]\n", + "\n", + "\n", + " [[[-3.72178294e-03 -2.19973940e-02 4.82716188e-02 ...\n", + " -1.05031198e-02 -3.38076818e-04 4.28234264e-02]\n", + " [-3.35539840e-02 3.90552133e-02 2.04084348e-02 ...\n", + " 6.09217957e-03 -2.70047802e-02 -1.27939004e-02]\n", + " [ 5.98530192e-03 -2.68383753e-02 6.61887322e-03 ...\n", + " -3.67671400e-02 -3.66060622e-02 -1.35554876e-02]\n", + " ...\n", + " [ 5.51973283e-03 -4.28842679e-02 9.51756909e-03 ...\n", + " 8.44729785e-03 -2.05019508e-02 -4.73575704e-02]\n", + " [ 2.08078939e-02 3.75298895e-02 -2.51390901e-03 ...\n", + " -6.13729144e-03 4.29728627e-02 4.35062870e-02]\n", + " [ 8.72004591e-03 5.39312102e-02 1.72880981e-02 ...\n", + " 3.54158245e-02 -3.91764939e-02 3.97246145e-02]]\n", + "\n", + " [[ 4.04821523e-02 4.12026979e-02 -4.65602241e-02 ...\n", + " -2.97664385e-02 2.11019050e-02 -4.69235107e-02]\n", + " [ 4.62746480e-03 -1.17562627e-02 9.07129608e-03 ...\n", + " -4.28381413e-02 3.99045497e-02 -2.88136508e-02]\n", + " [ 4.38359426e-03 -2.51988228e-02 -3.86721664e-03 ...\n", + " 3.50306369e-02 3.57010067e-02 5.14678247e-02]\n", + " ...\n", + " [-3.32033485e-02 2.64155641e-02 2.41011418e-02 ...\n", + " 1.14206001e-02 3.28400396e-02 -4.47418541e-02]\n", + " [ 4.73221205e-02 5.21136858e-02 5.35551012e-02 ...\n", + " -3.84735242e-02 -2.63487529e-02 -9.32636089e-04]\n", + " [-4.31208946e-02 3.09739280e-02 3.06234974e-02 ...\n", + " 4.07117568e-02 -2.44792476e-02 -1.11266682e-02]]\n", + "\n", + " [[-3.81971039e-02 3.87523882e-02 5.25954627e-02 ...\n", + " -2.99182478e-02 4.24767807e-02 -5.17796949e-02]\n", + " [ 4.07391861e-02 5.37716635e-02 5.16390242e-02 ...\n", + " 6.56801742e-03 2.05122847e-02 4.62526828e-02]\n", + " [-4.43947315e-02 4.77211736e-02 -3.06679998e-02 ...\n", + " 5.05007431e-02 5.20145055e-03 -2.12390851e-02]\n", + " ...\n", + " [-2.72813197e-02 -2.70510688e-02 3.66275422e-02 ...\n", + " -1.37570091e-02 4.51657251e-02 2.28074007e-02]\n", + " [ 4.57293577e-02 -2.74106227e-02 1.16175751e-03 ...\n", + " -3.50054614e-02 2.31350437e-02 -3.75175774e-02]\n", + " [-4.28378396e-02 -4.14522998e-02 3.78301814e-02 ...\n", + " -4.03081961e-02 4.91744950e-02 4.22914401e-02]]\n", + "\n", + " [[ 3.35105993e-02 3.17365378e-02 3.37316133e-02 ...\n", + " 1.37574058e-02 -4.32735421e-02 -3.74696329e-02]\n", + " [ 4.36671562e-02 5.21578826e-02 4.77404110e-02 ...\n", + " -1.31440740e-02 4.01375853e-02 2.87489165e-02]\n", + " [-4.12252918e-02 4.42889668e-02 -1.37688871e-02 ...\n", + " -1.92033295e-02 1.39907822e-02 -2.66207848e-02]\n", + " ...\n", + " [-2.79236864e-02 2.44202036e-02 4.67114076e-02 ...\n", + " -9.58132744e-03 -1.20266285e-02 -4.25044075e-02]\n", + " [ 4.67658229e-02 -2.35867724e-02 -3.58894467e-02 ...\n", + " 1.50343906e-02 6.87978812e-04 -4.42803912e-02]\n", + " [ 4.64537293e-02 2.18697600e-02 6.74252585e-03 ...\n", + " 4.13506366e-02 2.70104855e-02 -1.66637206e-03]]]\n", + "\n", + "\n", + " [[[-3.63726653e-02 -3.89920399e-02 -3.48908864e-02 ...\n", + " -4.19945456e-02 3.13611788e-04 1.23964474e-02]\n", + " [-2.48427726e-02 -1.94793418e-02 4.15679365e-02 ...\n", + " -4.32767235e-02 -2.31092647e-02 -2.79621184e-02]\n", + " [-3.95366400e-02 3.28615569e-02 3.34833674e-02 ...\n", + " 2.26314049e-02 -3.36423405e-02 2.99463551e-02]\n", + " ...\n", + " [-1.40243908e-02 -4.08930257e-02 1.18134562e-02 ...\n", + " 6.13455428e-03 -2.76721828e-02 8.39839224e-03]\n", + " [-2.97267698e-02 -9.18754283e-03 -8.53713229e-03 ...\n", + " -4.23945487e-02 4.58225571e-02 3.04622985e-02]\n", + " [-4.32765111e-03 3.54203470e-02 -2.32991613e-02 ...\n", + " -4.42110412e-02 9.86693194e-04 -3.93257514e-02]]\n", + "\n", + " [[-1.07853413e-02 -5.06251343e-02 -1.43825840e-02 ...\n", + " -4.91337851e-02 -8.34266283e-03 -7.52806058e-03]\n", + " [-1.51039436e-02 2.11321958e-03 3.24817910e-03 ...\n", + " -3.77210267e-02 -3.08017116e-02 1.82107128e-02]\n", + " [ 2.15995051e-02 1.62404601e-03 -3.79366055e-02 ...\n", + " -3.38193700e-02 -4.32301871e-02 2.96897776e-02]\n", + " ...\n", + " [ 9.36356466e-03 -4.85010818e-02 3.34890001e-02 ...\n", + " 3.74669284e-02 -4.92597930e-02 2.99240686e-02]\n", + " [-2.44426336e-02 3.96711826e-02 -4.08197679e-02 ...\n", + " 9.86986980e-03 -5.30459583e-02 -3.25767919e-02]\n", + " [-3.20780985e-02 3.88696380e-02 2.13384070e-02 ...\n", + " -2.27579586e-02 3.93241569e-02 1.73465442e-02]]\n", + "\n", + " [[-1.86432973e-02 1.23556005e-02 -3.03679146e-04 ...\n", + " -7.45350635e-03 -5.24315424e-02 5.80251729e-03]\n", + " [ 2.69838534e-02 -3.26566435e-02 -4.90972623e-02 ...\n", + " 2.30549388e-02 -2.99684498e-02 -2.65617892e-02]\n", + " [ 5.12434449e-03 2.60835402e-02 1.56812817e-02 ...\n", + " -2.48726979e-02 3.08067594e-02 5.17853424e-02]\n", + " ...\n", + " [-2.79832706e-02 -5.02084717e-02 -4.10045236e-02 ...\n", + " -1.06463823e-02 4.67929095e-02 6.38856366e-03]\n", + " [-2.60241311e-02 -1.40963532e-02 -4.24337275e-02 ...\n", + " 9.70063638e-03 1.07495049e-02 -4.35652211e-02]\n", + " [ 3.39386091e-02 2.22245809e-02 -1.38890864e-02 ...\n", + " -4.29147631e-02 -5.35668172e-02 -3.42978537e-02]]\n", + "\n", + " [[-4.79478575e-03 -5.01745418e-02 6.39704755e-03 ...\n", + " 1.97235961e-02 1.29763400e-02 2.64755022e-02]\n", + " [-4.72728871e-02 1.32521084e-02 -4.02121879e-02 ...\n", + " -4.05577198e-02 -4.99795042e-02 -4.45793644e-02]\n", + " [ 2.63539292e-02 2.91509787e-03 3.67207192e-02 ...\n", + " 1.64327230e-02 1.41629539e-02 3.04172412e-02]\n", + " ...\n", + " [ 3.65753472e-03 -4.71951514e-02 7.40275998e-03 ...\n", + " -1.10754287e-02 1.88305415e-02 2.16674265e-02]\n", + " [-1.97781250e-03 -3.80974747e-02 -3.15074399e-02 ...\n", + " 2.26600445e-03 3.58851552e-02 3.30730304e-02]\n", + " [ 2.76518911e-02 -2.50532515e-02 1.82446856e-02 ...\n", + " 4.36072759e-02 -4.80258763e-02 -4.82724756e-02]]]]\n", + "\n", + "\n", + "\n", + " [[[[-2.77894475e-02 1.09519372e-02 2.26687361e-02 ...\n", + " -3.09583005e-02 -2.66850856e-03 2.11158413e-02]\n", + " [-4.49624099e-02 1.24602010e-02 -4.08843085e-02 ...\n", + " 2.72908751e-02 -3.72019671e-02 3.42493355e-02]\n", + " [-2.38444805e-02 -1.98981110e-02 -2.84822732e-02 ...\n", + " 4.16409411e-02 3.52136269e-02 3.54742142e-03]\n", + " ...\n", + " [ 1.84912942e-02 -4.36909050e-02 1.21951457e-02 ...\n", + " -3.56824361e-02 -2.96483822e-02 2.39502992e-02]\n", + " [-4.31375839e-02 -3.23172286e-02 -1.93718094e-02 ...\n", + " -2.24969368e-02 -2.52712965e-02 3.56920101e-02]\n", + " [-3.22401710e-02 1.60205811e-02 1.91148673e-03 ...\n", + " -2.53558718e-02 5.81941148e-03 1.15653994e-02]]\n", + "\n", + " [[-3.37472036e-02 2.67775580e-02 2.70154979e-02 ...\n", + " 2.35271710e-03 -9.56231356e-03 -1.99317019e-02]\n", + " [ 1.51527477e-02 2.76337676e-02 -4.16389443e-02 ...\n", + " 4.90556061e-02 -2.39758678e-02 -2.46586390e-02]\n", + " [ 2.62666568e-02 -3.44987698e-02 1.80722643e-02 ...\n", + " 3.22426669e-02 -6.67180773e-03 -9.24221892e-03]\n", + " ...\n", + " [-2.09731851e-02 -1.43929757e-02 2.70193983e-02 ...\n", + " 2.20511630e-02 -2.31103301e-02 -8.30086414e-03]\n", + " [-1.31122284e-02 1.89802200e-02 1.59600638e-02 ...\n", + " -4.44604792e-02 1.68163013e-02 6.04483951e-03]\n", + " [ 2.80923713e-02 4.92714997e-03 3.38887982e-02 ...\n", + " 3.85094521e-04 -1.55136837e-02 2.55302992e-02]]\n", + "\n", + " [[ 2.85970885e-02 1.44686196e-02 4.11337130e-02 ...\n", + " 1.00951679e-02 -2.40963865e-02 -4.10120077e-02]\n", + " [ 1.01260142e-02 3.42902653e-02 3.53111699e-02 ...\n", + " -1.42973233e-02 3.13987546e-02 -3.84514630e-02]\n", + " [ 2.89310329e-02 8.83426866e-04 -4.56041917e-02 ...\n", + " -9.36694723e-03 5.32200783e-02 -3.15966494e-02]\n", + " ...\n", + " [ 4.16861437e-02 -2.41847634e-02 -1.96394548e-02 ...\n", + " 3.25467512e-02 4.48050275e-02 1.53250182e-02]\n", + " [-4.55914065e-02 -1.95773598e-02 -3.77119109e-02 ...\n", + " -2.36605704e-02 5.02837747e-02 3.94732133e-02]\n", + " [ 3.17179970e-03 -4.22326364e-02 1.13937976e-02 ...\n", + " -4.28446429e-03 1.52193541e-02 -1.99918263e-02]]\n", + "\n", + " [[-2.67303176e-02 3.85529026e-02 -3.51488478e-02 ...\n", + " 4.82722223e-02 -2.20168587e-02 -3.54009084e-02]\n", + " [ 9.61186644e-03 -3.78744490e-02 -1.23874098e-02 ...\n", + " -1.21465912e-02 -3.51721644e-02 3.35000120e-02]\n", + " [-2.69202944e-02 1.92849021e-02 -4.93436819e-03 ...\n", + " -3.16678248e-02 1.15096951e-02 -6.25281781e-03]\n", + " ...\n", + " [ 1.10141700e-02 -1.29182655e-02 6.86604716e-03 ...\n", + " 4.42427732e-02 -2.05153842e-02 -2.17112359e-02]\n", + " [-2.43159197e-02 2.17015352e-02 1.48235094e-02 ...\n", + " -2.13714708e-02 3.62362377e-02 8.67560972e-03]\n", + " [-3.69238853e-02 4.91972826e-02 -3.03238537e-02 ...\n", + " -3.22209694e-03 -4.05589640e-02 -2.57141087e-02]]]\n", + "\n", + "\n", + " [[[ 3.41406427e-02 1.43122775e-02 3.04244682e-02 ...\n", + " 4.75630313e-02 1.29853981e-02 5.53655997e-03]\n", + " [-3.47260125e-02 2.88214684e-02 4.16640341e-02 ...\n", + " 4.18493003e-02 -2.06513051e-03 2.79264450e-02]\n", + " [ 6.12427830e-04 -3.52781415e-02 4.38862070e-02 ...\n", + " 4.40963991e-02 2.44313702e-02 1.20804505e-02]\n", + " ...\n", + " [-3.81741151e-02 -4.41833362e-02 -3.23616154e-02 ...\n", + " -3.52998637e-02 -1.54588846e-02 -4.48869057e-02]\n", + " [ 2.82949172e-02 1.95824932e-02 4.26881537e-02 ...\n", + " 2.15080213e-02 7.07319239e-03 -3.48799042e-02]\n", + " [ 1.56742893e-02 -3.73565853e-02 -1.44006517e-02 ...\n", + " -1.42432963e-02 3.54453996e-02 3.90648544e-02]]\n", + "\n", + " [[ 3.72415408e-02 -2.80158389e-02 2.21603177e-02 ...\n", + " -2.71545816e-02 -2.37948447e-02 -3.53528149e-02]\n", + " [-1.41731715e-02 1.64113624e-03 4.42270935e-02 ...\n", + " -2.87078135e-02 3.65869366e-02 3.83429080e-02]\n", + " [ 1.44696711e-02 -4.58082370e-02 -6.95168506e-04 ...\n", + " 4.75279316e-02 3.82500179e-02 -2.76198592e-02]\n", + " ...\n", + " [ 2.61348076e-02 1.46758584e-02 -3.55035737e-02 ...\n", + " 3.48916613e-02 -2.56174095e-02 -7.42335059e-03]\n", + " [ 1.96418595e-02 -4.32157591e-02 2.98948027e-02 ...\n", + " 1.78404618e-02 2.41097007e-02 4.39486839e-02]\n", + " [-1.06331091e-02 -4.42858115e-02 2.98072975e-02 ...\n", + " 4.44693007e-02 -3.99879925e-02 -2.16079727e-02]]\n", + "\n", + " [[ 2.07185522e-02 1.18947439e-02 4.68442440e-02 ...\n", + " 2.94221542e-03 -1.88744422e-02 5.70609327e-03]\n", + " [-3.25603597e-02 -1.36066768e-02 3.02305277e-02 ...\n", + " -1.67043433e-02 2.61278474e-04 7.04171415e-03]\n", + " [ 3.05219032e-02 -1.14547880e-02 -4.39462587e-02 ...\n", + " 4.70204242e-02 -6.93914713e-03 -3.64067368e-02]\n", + " ...\n", + " [-3.55970524e-02 -3.46039534e-02 4.40992527e-02 ...\n", + " -3.05901524e-02 3.79744507e-02 -2.03393288e-02]\n", + " [-3.43148294e-03 2.82410905e-02 2.90980539e-03 ...\n", + " -3.11396606e-02 -4.70715649e-02 3.84403840e-02]\n", + " [-4.96875718e-02 -1.02195619e-02 -2.17981115e-02 ...\n", + " 7.25917658e-03 2.90605873e-02 4.26619202e-02]]\n", + "\n", + " [[ 9.03157983e-03 -1.46070989e-02 -2.76224744e-02 ...\n", + " 5.06832153e-02 3.44749615e-02 1.07160555e-02]\n", + " [-8.20852723e-03 -3.79236192e-02 -3.63791101e-02 ...\n", + " 1.59080271e-02 -1.73575487e-02 3.56035344e-02]\n", + " [ 4.02009450e-02 1.35926511e-02 -3.83385979e-02 ...\n", + " 3.19246575e-02 4.53939335e-03 2.60906965e-02]\n", + " ...\n", + " [-4.43834923e-02 1.94389094e-03 3.53510380e-02 ...\n", + " -9.18749161e-03 -3.06377932e-02 4.40149978e-02]\n", + " [ 3.40365171e-02 -3.38445534e-03 -8.76955502e-03 ...\n", + " 1.38767064e-02 5.74842189e-03 1.77975912e-02]\n", + " [-4.41633090e-02 -1.97587647e-02 1.66429281e-02 ...\n", + " 9.38200756e-05 1.05172768e-02 -6.65866584e-03]]]\n", + "\n", + "\n", + " [[[-2.19709426e-02 -3.32875899e-03 -4.81306650e-02 ...\n", + " 3.62967737e-02 4.78948047e-03 -4.26374823e-02]\n", + " [-6.77515520e-04 1.25702126e-02 2.52952334e-02 ...\n", + " 3.29086855e-02 -1.00336410e-03 2.21736189e-02]\n", + " [-4.85112704e-02 -1.65422726e-02 -2.92896908e-02 ...\n", + " 4.84937429e-02 -4.42494899e-02 -3.42792436e-03]\n", + " ...\n", + " [-4.52588126e-02 2.14478932e-02 -4.13872190e-02 ...\n", + " 4.19800319e-02 -3.85663472e-02 -1.91828348e-02]\n", + " [ 2.78433152e-02 -3.68067399e-02 5.05848862e-02 ...\n", + " 6.72882982e-03 4.46691215e-02 1.82794239e-02]\n", + " [-1.01433527e-02 -3.44547927e-02 1.88512187e-02 ...\n", + " 3.60700525e-02 -5.74594317e-03 -9.88300797e-03]]\n", + "\n", + " [[-6.22821972e-03 -2.63484363e-02 -2.18156017e-02 ...\n", + " 2.48626084e-03 -5.74630639e-03 1.79478619e-02]\n", + " [-2.74725556e-02 -4.12442870e-02 -1.65510420e-02 ...\n", + " 1.79032423e-02 1.19375875e-02 -3.63054387e-02]\n", + " [ 4.56942134e-02 1.46968057e-02 -2.38482486e-02 ...\n", + " 1.41614480e-02 5.22641614e-02 -5.08186296e-02]\n", + " ...\n", + " [ 4.38328162e-02 -1.81973279e-02 5.63947950e-03 ...\n", + " 3.48358825e-02 1.97223872e-02 -1.86911020e-02]\n", + " [-6.53239898e-03 1.59766451e-02 -2.19809860e-02 ...\n", + " -3.34539898e-02 3.95041183e-02 -2.06072330e-02]\n", + " [-2.11968943e-02 -3.59981358e-02 -1.16386190e-02 ...\n", + " 8.18372611e-03 2.25049071e-02 3.71910706e-02]]\n", + "\n", + " [[-4.72196117e-02 1.55292600e-02 -3.76424789e-02 ...\n", + " 4.88369651e-02 3.11317686e-02 -2.95274556e-02]\n", + " [-4.32063565e-02 1.59764104e-02 -1.05397878e-02 ...\n", + " 2.58637834e-02 -4.14238423e-02 -7.75551423e-03]\n", + " [-3.76093686e-02 -5.31987622e-02 -4.75878641e-02 ...\n", + " 3.96144874e-02 -4.35538217e-03 -1.01653505e-02]\n", + " ...\n", + " [ 1.77065413e-02 2.69297305e-02 -3.82047482e-02 ...\n", + " -6.93523791e-03 -9.09263082e-03 -4.64905724e-02]\n", + " [ 1.88653767e-02 -4.95708436e-02 -1.76661853e-02 ...\n", + " -2.47553401e-02 3.65227573e-02 1.44474199e-02]\n", + " [-5.11614606e-02 -1.74305611e-03 2.70684063e-03 ...\n", + " -3.87235954e-02 -1.30801145e-02 4.39954996e-02]]\n", + "\n", + " [[-2.35064514e-02 1.46856494e-02 -1.54965939e-02 ...\n", + " 2.31411457e-02 -6.19045831e-03 6.09736703e-03]\n", + " [-4.41920161e-02 -4.10427712e-02 2.89117321e-02 ...\n", + " -4.45783250e-02 -2.28432212e-02 3.89983319e-02]\n", + " [-3.70348282e-02 2.86720358e-02 -8.69072694e-03 ...\n", + " -1.48541220e-02 4.18004021e-02 -1.94241386e-02]\n", + " ...\n", + " [-2.31784806e-02 1.17809540e-02 -3.20917480e-02 ...\n", + " -3.42937931e-02 3.29872519e-02 4.47581522e-02]\n", + " [-5.40699810e-02 3.76372375e-02 -4.29445552e-03 ...\n", + " 3.78854126e-02 -3.14056240e-02 1.93418600e-02]\n", + " [ 7.70905381e-03 2.25971807e-02 -3.95375723e-03 ...\n", + " 5.05007245e-02 -9.00184084e-03 -9.20098834e-03]]]\n", + "\n", + "\n", + " [[[ 3.63589264e-02 -4.13544066e-02 1.30532561e-02 ...\n", + " 3.49305049e-02 -4.72666919e-02 -3.16471374e-03]\n", + " [ 3.89962159e-02 3.46673988e-02 -3.11191287e-02 ...\n", + " -3.37964520e-02 8.19335459e-04 1.32363918e-03]\n", + " [-5.53873042e-03 -8.96874629e-03 2.86805304e-03 ...\n", + " -4.25665453e-02 9.23596695e-03 -2.12123170e-02]\n", + " ...\n", + " [-7.96152093e-03 -2.99918354e-02 -5.01215979e-02 ...\n", + " 1.05161006e-02 4.32719178e-02 -7.68782664e-03]\n", + " [-3.29103135e-02 9.65135731e-03 2.00385880e-02 ...\n", + " 4.60936204e-02 8.27034563e-03 -1.98426247e-02]\n", + " [ 1.89007893e-02 -7.51676876e-03 -1.31198587e-02 ...\n", + " -3.35765556e-02 4.74453857e-03 -1.74079444e-02]]\n", + "\n", + " [[ 2.17143390e-02 2.82121077e-02 -4.68463749e-02 ...\n", + " 6.76002400e-03 3.37589011e-02 -4.33283672e-02]\n", + " [ 4.48848791e-02 -4.95492369e-02 1.84323248e-02 ...\n", + " -1.60810482e-02 3.45761999e-02 1.15020005e-02]\n", + " [-2.27869663e-04 4.08671983e-02 -3.61818522e-02 ...\n", + " -2.36904193e-02 1.00174127e-02 1.79634243e-02]\n", + " ...\n", + " [ 7.53473025e-03 -4.50252518e-02 -3.23477015e-02 ...\n", + " -5.18956082e-03 -1.49388192e-02 8.76350212e-04]\n", + " [ 3.11847292e-02 1.31352246e-02 1.12256454e-02 ...\n", + " 3.48872282e-02 -2.09370963e-02 3.49198505e-02]\n", + " [ 8.12895689e-03 2.51670908e-02 -1.40547324e-02 ...\n", + " 4.50746380e-02 -4.96470518e-02 1.64641328e-02]]\n", + "\n", + " [[-3.61503214e-02 -3.69896032e-02 -2.79830489e-02 ...\n", + " -3.30603085e-02 3.30196023e-02 -3.19152400e-02]\n", + " [ 1.97360665e-02 -3.17135677e-02 9.29276831e-03 ...\n", + " 2.27261279e-02 3.70442383e-02 -5.40339248e-03]\n", + " [ 4.87980396e-02 -4.12558950e-02 9.46251489e-03 ...\n", + " 2.02826224e-02 -3.29079572e-03 3.17596234e-02]\n", + " ...\n", + " [-5.14778569e-02 -2.16910522e-02 2.47361511e-02 ...\n", + " 2.44704671e-02 -1.16751241e-02 -2.88870409e-02]\n", + " [ 3.85232680e-02 1.09091157e-03 4.00877371e-02 ...\n", + " 4.07833122e-02 2.71130186e-02 3.06274686e-02]\n", + " [-3.92826693e-03 8.34399741e-03 -1.66274849e-02 ...\n", + " 1.85400061e-02 -4.05501798e-02 -3.88236642e-02]]\n", + "\n", + " [[-1.53032029e-02 -1.52898829e-05 -2.69822520e-03 ...\n", + " 3.61535996e-02 -3.24725127e-03 -2.48067807e-02]\n", + " [ 3.41159329e-02 -4.27498519e-02 -1.23092206e-02 ...\n", + " 5.10358177e-02 -3.26773785e-02 3.78727093e-02]\n", + " [ 5.94534038e-04 1.20720556e-02 3.72773893e-02 ...\n", + " 1.77037623e-02 4.34010476e-02 1.24135325e-02]\n", + " ...\n", + " [ 1.86304469e-02 -3.50444578e-02 1.70320421e-02 ...\n", + " -4.80746804e-03 3.75719294e-02 -4.06805389e-02]\n", + " [-1.45696020e-02 -1.62551105e-02 3.45399167e-04 ...\n", + " 2.16188692e-02 -1.09827379e-02 -4.26125899e-02]\n", + " [-2.47387588e-02 9.92890168e-03 -2.21772213e-02 ...\n", + " -2.22526360e-02 -5.00673577e-02 -2.03763582e-02]]]]]\n", + " Sample biases: [0.03117584 0.03072683 0.03049001 0.0310482 0.02994245]\n", + "Layer Name: conv3d_transpose_19\n", + " Weights shape: (4, 4, 4, 32, 64)\n", + " Biases shape: (32,)\n", + " Sample weights: [[[[[ 5.73659828e-03 1.74190626e-02 4.67372127e-02 ...\n", + " 4.68661375e-02 3.25161926e-02 -1.66955916e-03]\n", + " [ 1.29076112e-02 3.10689968e-04 2.63257995e-02 ...\n", + " 1.25601478e-02 -6.22864533e-03 -1.62498280e-03]\n", + " [ 9.14350897e-03 3.81070585e-03 4.62590046e-02 ...\n", + " 4.93691443e-03 8.90723616e-03 -5.14871068e-03]\n", + " ...\n", + " [-2.97787506e-03 1.14100454e-02 4.06469628e-02 ...\n", + " 1.14137458e-03 -3.17893340e-03 2.63161138e-02]\n", + " [-2.86896341e-02 -3.70868519e-02 -4.24147844e-02 ...\n", + " -1.52265672e-02 -3.53855938e-02 -3.74488384e-02]\n", + " [-3.18851992e-02 -1.21703641e-02 1.67770945e-02 ...\n", + " -2.43211165e-02 1.83711052e-02 -1.81682333e-02]]\n", + "\n", + " [[-2.91394722e-02 -1.83046598e-03 1.19995037e-02 ...\n", + " 1.25441728e-02 3.01617421e-02 1.19907530e-02]\n", + " [-1.66814961e-02 -1.42846778e-02 -1.46800103e-02 ...\n", + " -1.29642691e-02 -1.17634535e-02 -4.12445143e-02]\n", + " [-3.50674391e-02 1.89375109e-03 1.29481591e-02 ...\n", + " -5.18032396e-03 -2.31417567e-02 -1.17273806e-02]\n", + " ...\n", + " [ 1.21584237e-02 1.04920911e-02 1.74206588e-02 ...\n", + " 2.22502537e-02 2.89575849e-02 4.99105640e-03]\n", + " [ 1.71469878e-02 2.63172016e-02 4.32401411e-02 ...\n", + " -8.81176535e-03 4.07413021e-02 -7.12708849e-03]\n", + " [ 2.94596106e-02 5.36520034e-03 5.11297397e-03 ...\n", + " 2.08923407e-02 5.39197698e-02 5.21465056e-02]]\n", + "\n", + " [[ 2.30318103e-02 6.82699168e-03 4.03728224e-02 ...\n", + " 2.66123433e-02 3.57509367e-02 -7.68068200e-03]\n", + " [ 5.25085963e-02 2.39724815e-02 2.51644682e-02 ...\n", + " 4.07703072e-02 5.71173523e-03 2.01576967e-02]\n", + " [ 8.68654065e-03 3.63810174e-02 1.05268704e-02 ...\n", + " 1.05537372e-02 4.29923907e-02 -1.98005117e-03]\n", + " ...\n", + " [-1.12047018e-02 5.27111907e-03 -1.23496680e-03 ...\n", + " 2.87052654e-02 2.75168829e-02 -5.09773148e-03]\n", + " [ 1.52367828e-02 -3.55700180e-02 2.48056911e-02 ...\n", + " 1.25036724e-02 -1.52900172e-02 -3.45029533e-02]\n", + " [-2.88345367e-02 -8.04367848e-03 2.08046753e-02 ...\n", + " -2.67618205e-02 -8.57557356e-03 -2.13436075e-02]]\n", + "\n", + " [[-2.15524174e-02 -6.66454248e-03 2.14321595e-02 ...\n", + " 2.57423371e-02 2.17854101e-02 1.33822318e-02]\n", + " [ 1.54304048e-02 -3.57964039e-02 -1.93544751e-04 ...\n", + " -2.22722776e-02 -6.34199521e-03 -2.90848955e-04]\n", + " [-2.63820272e-02 1.32220527e-02 -1.41134989e-02 ...\n", + " 1.66558605e-02 3.02968584e-02 -1.69271156e-02]\n", + " ...\n", + " [ 3.75771932e-02 -8.69719218e-03 2.71354876e-02 ...\n", + " 3.96780781e-02 3.63462344e-02 4.38115411e-02]\n", + " [ 2.67533772e-02 -3.17952922e-03 3.88421863e-02 ...\n", + " 1.81750096e-02 2.70943921e-02 -1.17765032e-02]\n", + " [ 1.71028413e-02 6.60176948e-03 3.82334627e-02 ...\n", + " 2.87340209e-02 4.51804921e-02 3.89080197e-02]]]\n", + "\n", + "\n", + " [[[-2.97921058e-03 -2.81333681e-02 1.44677050e-02 ...\n", + " 1.32641429e-02 -2.48071514e-02 -1.11627607e-02]\n", + " [ 7.08203064e-03 -3.73781053e-03 -3.82445864e-02 ...\n", + " 5.73145878e-03 2.66024354e-03 -3.59200686e-02]\n", + " [ 2.25535315e-03 -2.25764303e-03 1.29117304e-02 ...\n", + " -3.81984599e-02 -1.63099300e-02 -8.24819412e-03]\n", + " ...\n", + " [ 3.42725636e-03 4.35981005e-02 2.38849726e-02 ...\n", + " 4.45163772e-02 -5.35633008e-04 -8.28876346e-03]\n", + " [ 3.35769206e-02 2.19637695e-06 6.54466357e-03 ...\n", + " -4.72076144e-03 6.96057873e-03 1.97776277e-02]\n", + " [ 1.04989540e-02 4.93122712e-02 4.08243341e-03 ...\n", + " 8.72191414e-03 3.96438092e-02 4.88940999e-02]]\n", + "\n", + " [[-6.76329480e-03 2.35826224e-02 1.40122103e-03 ...\n", + " 2.88850050e-02 4.18951772e-02 2.08664294e-02]\n", + " [-2.75345496e-03 4.08598781e-03 4.27743755e-02 ...\n", + " 2.40396094e-02 4.86242846e-02 4.07461748e-02]\n", + " [ 4.53286022e-02 4.40138914e-02 4.19894643e-02 ...\n", + " 1.88604984e-02 -1.31153530e-02 -1.10018188e-02]\n", + " ...\n", + " [-2.56151017e-02 -2.97240783e-02 5.41132176e-03 ...\n", + " 1.31057622e-02 -1.99329220e-02 1.68205295e-02]\n", + " [-3.22334692e-02 6.73886109e-03 1.12384679e-02 ...\n", + " -9.48610902e-03 7.73976883e-03 -5.34416409e-03]\n", + " [ 2.08295211e-02 1.80566462e-03 3.47503275e-02 ...\n", + " 2.63095926e-02 1.89138018e-02 -1.77664347e-02]]\n", + "\n", + " [[-2.80456133e-02 8.32700077e-03 2.20265314e-02 ...\n", + " 1.28628016e-02 -2.31772922e-02 -1.96244055e-03]\n", + " [-2.79059242e-02 -1.46753406e-02 3.10982466e-02 ...\n", + " -1.61348172e-02 -2.01479755e-02 1.10648852e-02]\n", + " [ 1.30869383e-02 -1.46655869e-02 2.68578846e-02 ...\n", + " 1.48751494e-02 1.67784654e-02 7.79451383e-03]\n", + " ...\n", + " [ 3.15496847e-02 4.27292846e-03 3.50616116e-04 ...\n", + " 7.42635224e-03 -5.75907389e-03 -6.77574845e-03]\n", + " [ 1.49381692e-02 2.35366561e-02 2.17141060e-05 ...\n", + " 4.81122211e-02 2.91479770e-02 2.92765591e-02]\n", + " [ 6.66294852e-03 7.67213013e-03 3.10772955e-02 ...\n", + " -4.12632857e-04 2.60297097e-02 1.57138780e-02]]\n", + "\n", + " [[ 4.27747816e-02 1.57567691e-02 4.19401145e-03 ...\n", + " 1.27619905e-02 2.06183232e-02 3.13387364e-02]\n", + " [ 8.56852997e-03 4.73020710e-02 4.48965319e-02 ...\n", + " 1.76607482e-02 2.88637634e-02 2.77891569e-02]\n", + " [ 4.28079478e-02 2.73859240e-02 4.70590405e-02 ...\n", + " 1.21026188e-02 -9.14994068e-03 1.40907113e-02]\n", + " ...\n", + " [ 2.75362413e-02 2.12199669e-02 -1.88869908e-02 ...\n", + " 1.94704328e-02 -9.79325175e-03 -2.20892746e-02]\n", + " [-2.35904902e-02 -2.23414823e-02 6.08130172e-03 ...\n", + " 3.16923112e-03 5.14195347e-03 6.07027393e-03]\n", + " [-2.26450283e-02 -1.74655893e-03 -1.04246438e-02 ...\n", + " -7.48924306e-03 -1.14040533e-02 -3.26915784e-03]]]\n", + "\n", + "\n", + " [[[ 1.03008747e-03 -4.65054251e-03 4.55419309e-02 ...\n", + " 2.62297932e-02 7.48293661e-03 9.36506130e-03]\n", + " [ 2.31487677e-02 2.39552800e-02 4.27093320e-02 ...\n", + " 4.72851805e-02 6.01623673e-03 -7.42602535e-03]\n", + " [ 3.21089402e-02 3.21789272e-02 2.70964019e-02 ...\n", + " 4.80968803e-02 -4.97090584e-03 1.66311283e-02]\n", + " ...\n", + " [ 4.53009754e-02 -9.13623720e-03 3.73744890e-02 ...\n", + " 3.32559273e-02 3.39122936e-02 2.37516463e-02]\n", + " [ 1.44896060e-02 -2.49935202e-02 1.55031811e-02 ...\n", + " 2.92698178e-03 1.10785654e-02 2.34627761e-02]\n", + " [-5.72553091e-03 -1.96897350e-02 -5.95074031e-04 ...\n", + " 1.25003895e-02 -2.64304448e-02 1.98699664e-02]]\n", + "\n", + " [[-2.45268345e-02 -6.75643608e-03 1.49793644e-02 ...\n", + " -3.06553468e-02 -2.18385924e-02 1.25114042e-02]\n", + " [ 3.97921831e-04 -5.12228068e-03 -1.60927214e-02 ...\n", + " 7.41105247e-03 1.47971492e-02 -8.83230474e-03]\n", + " [ 2.74403766e-02 -1.12998169e-02 -8.28677695e-03 ...\n", + " -5.63038560e-03 -1.12954108e-02 -4.03394137e-04]\n", + " ...\n", + " [ 3.81128979e-03 6.74190139e-03 3.60860229e-02 ...\n", + " 2.84375553e-03 -1.09811556e-02 5.32900100e-04]\n", + " [ 1.65215135e-02 2.80519761e-03 -3.63000948e-03 ...\n", + " -1.13373725e-02 3.89850736e-02 4.00696546e-02]\n", + " [ 5.28159887e-02 1.08927756e-03 1.73664447e-02 ...\n", + " 4.29076608e-03 2.11883001e-02 2.24089678e-02]]\n", + "\n", + " [[ 2.56147943e-02 3.89595255e-02 4.76237498e-02 ...\n", + " 3.56057510e-02 2.69052442e-02 1.31900208e-02]\n", + " [ 3.72199877e-03 5.54351620e-02 1.97799914e-02 ...\n", + " 4.64148410e-02 1.99583210e-02 4.66977805e-03]\n", + " [ 3.19684087e-03 1.91888437e-02 -1.07710538e-02 ...\n", + " -2.02347548e-03 5.79801109e-03 2.87228823e-02]\n", + " ...\n", + " [ 1.45558938e-02 2.37984173e-02 1.70542039e-02 ...\n", + " -7.50315655e-03 4.17350754e-02 8.04127380e-03]\n", + " [ 1.80101655e-02 3.18606640e-03 1.61192771e-02 ...\n", + " 3.23920622e-02 1.63064674e-02 -2.98261666e-03]\n", + " [-3.21409702e-02 -1.37688657e-02 -2.40363553e-02 ...\n", + " 1.73985455e-02 9.18911211e-03 -6.08038902e-03]]\n", + "\n", + " [[-1.26076406e-02 -2.35919636e-02 1.40256463e-02 ...\n", + " 1.41484095e-02 -3.17410789e-02 1.14269946e-02]\n", + " [ 2.61093192e-02 -1.41122462e-02 -2.58114934e-03 ...\n", + " 2.00041477e-02 1.16399387e-02 1.46826711e-02]\n", + " [-3.33553110e-03 -7.61520537e-03 3.62405293e-02 ...\n", + " 2.59601865e-02 1.20025231e-02 2.16384511e-02]\n", + " ...\n", + " [ 1.05861714e-02 -8.92008713e-04 1.33849932e-02 ...\n", + " 5.01180515e-02 7.79779861e-03 -3.10323061e-03]\n", + " [ 2.86216587e-02 -1.22415423e-02 1.84763595e-02 ...\n", + " 3.37351486e-02 4.16088216e-02 2.11873371e-02]\n", + " [ 5.29902019e-02 1.31828804e-02 3.61130349e-02 ...\n", + " 3.90815586e-02 4.01441045e-02 8.52486677e-03]]]\n", + "\n", + "\n", + " [[[-1.15413666e-02 1.28306798e-04 2.32770424e-02 ...\n", + " -7.85982329e-03 2.28972938e-02 1.40266726e-02]\n", + " [ 7.50341685e-03 9.05339792e-03 -3.38815479e-03 ...\n", + " -2.09303433e-03 -1.95507985e-02 -2.45835092e-02]\n", + " [-1.83387995e-02 -1.79814175e-02 -1.95137653e-02 ...\n", + " -3.25395539e-02 3.50056565e-03 1.91330817e-02]\n", + " ...\n", + " [ 4.97618057e-02 1.85763910e-02 9.61615518e-03 ...\n", + " 9.17542260e-03 5.06901853e-02 3.48036550e-02]\n", + " [ 1.11983884e-02 2.09672134e-02 3.66797298e-02 ...\n", + " -3.58700845e-03 4.93108295e-02 3.10254563e-02]\n", + " [ 3.71346138e-02 2.50872336e-02 1.57400570e-03 ...\n", + " 1.78514607e-02 3.05989981e-02 4.72927988e-02]]\n", + "\n", + " [[ 4.85210195e-02 3.03269941e-02 -1.98460766e-04 ...\n", + " 9.84084327e-03 2.44169752e-03 1.41658178e-02]\n", + " [ 9.26837232e-03 -2.55273888e-03 1.07661169e-02 ...\n", + " 1.23562235e-02 2.15834249e-02 3.61052752e-02]\n", + " [ 4.28235717e-02 1.91614833e-02 3.74755487e-02 ...\n", + " 1.84206944e-02 4.85139191e-02 -5.29593788e-04]\n", + " ...\n", + " [ 1.11832246e-02 3.44814099e-02 1.70483347e-02 ...\n", + " 2.79330481e-02 -5.44723915e-03 -1.46774044e-02]\n", + " [ 2.50580180e-02 1.49281519e-02 -1.75339039e-02 ...\n", + " -8.54722597e-03 7.48677133e-03 -1.46448601e-03]\n", + " [ 3.83120626e-02 3.61993425e-02 3.46094603e-03 ...\n", + " -1.18008628e-02 -1.08115701e-02 1.89508479e-02]]\n", + "\n", + " [[ 3.20138335e-02 -2.29453295e-03 2.45684497e-02 ...\n", + " 1.38749359e-02 2.05779355e-02 3.91328335e-03]\n", + " [ 1.77547988e-02 3.12809199e-02 7.57354021e-04 ...\n", + " -1.11023299e-02 2.28451882e-02 1.44069791e-02]\n", + " [ 6.56957645e-03 -2.14337576e-02 -1.05015179e-02 ...\n", + " 5.83823537e-03 2.21616738e-02 1.40032880e-02]\n", + " ...\n", + " [ 3.31085511e-02 2.76597645e-02 4.54398133e-02 ...\n", + " 1.27747869e-02 5.95015008e-04 1.79714244e-02]\n", + " [ 4.22845706e-02 5.54328179e-03 1.80684496e-02 ...\n", + " 2.01646928e-02 2.31430288e-02 1.60782076e-02]\n", + " [ 7.05698458e-03 2.73617264e-03 -2.94994330e-03 ...\n", + " 2.03325804e-02 1.16338804e-02 5.20864949e-02]]\n", + "\n", + " [[ 1.97320874e-03 3.11738485e-03 4.38477052e-03 ...\n", + " 2.77827610e-03 -4.82649216e-03 -4.31066239e-03]\n", + " [ 2.42452286e-02 4.38372009e-02 2.32155342e-02 ...\n", + " 3.75647135e-02 -7.19909929e-03 6.80868793e-03]\n", + " [ 3.45990323e-02 3.62688466e-03 1.86240468e-02 ...\n", + " -1.66440173e-03 2.49865726e-02 2.67725829e-02]\n", + " ...\n", + " [ 1.83523893e-02 4.25016508e-02 2.28375066e-02 ...\n", + " -1.91980805e-02 3.47645837e-03 4.68099788e-02]\n", + " [ 5.62548917e-03 1.88122652e-02 -1.55154001e-02 ...\n", + " 3.49896029e-02 1.34126458e-03 3.67362611e-02]\n", + " [-9.10930056e-03 2.81527825e-02 3.24821565e-03 ...\n", + " -1.90756191e-03 -6.90123346e-03 3.79757322e-02]]]]\n", + "\n", + "\n", + "\n", + " [[[[ 1.66265685e-02 -1.00688441e-02 2.80130990e-02 ...\n", + " 2.93316562e-02 2.74647344e-02 3.63759100e-02]\n", + " [ 5.22098411e-03 5.02791815e-02 -6.07339386e-03 ...\n", + " 5.28797507e-02 1.56809352e-02 4.72690500e-02]\n", + " [-8.86552315e-03 -8.14976264e-03 -4.31209384e-03 ...\n", + " 3.76597755e-02 -4.95470082e-03 4.04043980e-02]\n", + " ...\n", + " [ 3.50933820e-02 4.22917008e-02 2.46110801e-02 ...\n", + " -1.54475328e-02 -4.01430810e-03 3.23565006e-02]\n", + " [ 4.93769757e-02 2.08772495e-02 -7.35316798e-03 ...\n", + " 2.09083240e-02 1.86932161e-02 4.08473611e-02]\n", + " [ 4.78945032e-04 2.57324148e-02 1.05221169e-02 ...\n", + " -1.09774095e-03 3.50575000e-02 4.20800745e-02]]\n", + "\n", + " [[ 4.75008152e-02 4.61760396e-03 1.39541961e-02 ...\n", + " 3.09560224e-02 3.83970179e-02 1.26383230e-02]\n", + " [ 1.95921976e-02 -2.63369996e-02 2.33542770e-02 ...\n", + " 1.08798873e-02 2.27343920e-03 -3.78195825e-03]\n", + " [ 2.86779515e-02 3.55608203e-02 4.30238321e-02 ...\n", + " 4.70901504e-02 3.04398350e-02 -9.12030041e-03]\n", + " ...\n", + " [ 2.84145363e-02 2.49188077e-02 1.49571123e-02 ...\n", + " 2.52826512e-02 -7.04900548e-03 4.32395078e-02]\n", + " [ 4.39547151e-02 3.33360210e-02 3.93224359e-02 ...\n", + " -9.60484054e-03 3.18402983e-02 3.66910361e-02]\n", + " [-2.72432882e-02 -2.33770497e-02 -2.87824310e-02 ...\n", + " 1.55611327e-02 -1.71028692e-02 2.40560696e-02]]\n", + "\n", + " [[ 2.20433064e-02 7.60865351e-03 -3.87397013e-03 ...\n", + " 2.29910687e-02 2.58883890e-02 2.26960070e-02]\n", + " [ 1.47270495e-02 5.07156365e-02 -5.72664011e-03 ...\n", + " 3.90593782e-02 1.03875599e-03 5.84654650e-03]\n", + " [ 2.31179297e-02 -1.28724417e-02 1.72465127e-02 ...\n", + " 2.32150708e-03 1.34601770e-02 1.03825796e-02]\n", + " ...\n", + " [ 1.06936833e-02 4.65751998e-03 -6.62925607e-03 ...\n", + " 3.91905047e-02 -2.01819860e-03 3.51006798e-02]\n", + " [ 9.17201955e-03 -6.65758969e-04 3.55801322e-02 ...\n", + " 1.93685219e-02 4.19887677e-02 -6.68824185e-03]\n", + " [ 2.83421464e-02 6.35638135e-03 -8.75929400e-05 ...\n", + " 1.73300486e-02 4.59776148e-02 4.18532193e-02]]\n", + "\n", + " [[ 2.49959854e-03 5.00961021e-02 3.98906432e-02 ...\n", + " -7.40696397e-03 4.45288196e-02 2.95967385e-02]\n", + " [-2.94494350e-02 -3.70880682e-03 2.19725240e-02 ...\n", + " -2.44700350e-02 -2.22653374e-02 -1.28232120e-02]\n", + " [ 1.86954159e-02 1.73559878e-02 1.56111047e-02 ...\n", + " 4.20369357e-02 4.50148769e-02 2.98810396e-02]\n", + " ...\n", + " [-2.06893217e-03 3.51253226e-02 2.00116783e-02 ...\n", + " 3.77726625e-03 2.15073954e-02 1.79961864e-02]\n", + " [ 2.50100531e-02 3.29549089e-02 2.39634793e-02 ...\n", + " 4.02905084e-02 2.97867320e-02 1.39918560e-02]\n", + " [ 2.66486709e-03 -5.80359064e-03 2.24179178e-02 ...\n", + " -5.07770292e-03 -1.33725023e-02 -1.97575018e-02]]]\n", + "\n", + "\n", + " [[[ 3.25435437e-02 2.55803037e-02 2.98169488e-03 ...\n", + " 2.38426123e-02 5.16925007e-03 -6.46153186e-03]\n", + " [-1.96802989e-02 -1.44819161e-02 2.69016455e-04 ...\n", + " 7.75771914e-03 -1.68622062e-02 2.49290233e-03]\n", + " [ 2.37539690e-03 1.37070036e-02 4.12794109e-03 ...\n", + " 3.87287475e-02 -5.84126636e-03 1.37470113e-02]\n", + " ...\n", + " [-1.40445093e-02 9.87539534e-03 2.77065057e-02 ...\n", + " 2.56201141e-02 2.43746936e-02 3.78602594e-02]\n", + " [ 3.78784649e-02 -2.03054547e-02 2.61180140e-02 ...\n", + " 3.43931653e-02 3.30557749e-02 4.01574858e-02]\n", + " [ 7.38000311e-03 3.27469483e-02 2.20068637e-02 ...\n", + " -1.16739785e-02 -1.33246463e-02 2.58691739e-02]]\n", + "\n", + " [[ 1.61820855e-02 3.27587798e-02 -1.79506708e-02 ...\n", + " 5.17333997e-03 6.81948848e-03 3.35009210e-02]\n", + " [-6.81403279e-03 2.33272389e-02 1.90772954e-02 ...\n", + " 1.19941887e-02 3.06940055e-03 1.10258004e-02]\n", + " [ 1.28456242e-02 3.68303843e-02 -3.14278877e-03 ...\n", + " 3.45949060e-03 4.52112816e-02 2.62329970e-02]\n", + " ...\n", + " [-1.71603002e-02 -5.39793912e-03 1.66499875e-02 ...\n", + " -1.06415553e-02 2.42756233e-02 3.82060595e-02]\n", + " [ 4.39377986e-02 2.15413445e-03 2.70321425e-02 ...\n", + " 3.86623219e-02 -4.67709266e-03 1.98172927e-02]\n", + " [-2.35566087e-02 -1.98385082e-02 9.42701753e-03 ...\n", + " -1.33868232e-02 5.39831724e-03 -1.11017125e-02]]\n", + "\n", + " [[ 1.44360904e-02 1.97188668e-02 2.00734232e-02 ...\n", + " 3.89366820e-02 -1.58822760e-02 1.14799282e-02]\n", + " [ 1.13367634e-02 1.05142072e-02 3.06485146e-02 ...\n", + " 3.30058001e-02 1.30850244e-02 2.50383001e-03]\n", + " [ 2.18622480e-02 2.64996160e-02 1.97809096e-03 ...\n", + " 2.47094873e-02 7.24865403e-03 2.44739605e-03]\n", + " ...\n", + " [ 1.23814829e-02 -1.40033066e-02 2.13836152e-02 ...\n", + " 1.02359280e-02 2.17287876e-02 3.23867910e-02]\n", + " [ 2.06255559e-02 3.22505906e-02 2.83011980e-02 ...\n", + " 4.16279919e-02 1.66266393e-02 -1.79433278e-04]\n", + " [ 3.56057920e-02 -9.70206130e-03 4.95165549e-02 ...\n", + " -1.88910891e-03 -8.47034529e-03 1.96723100e-02]]\n", + "\n", + " [[-2.09565423e-02 2.95693614e-02 4.40848060e-03 ...\n", + " 8.53779074e-03 -1.91446003e-02 -1.57316159e-02]\n", + " [ 2.46457085e-02 -9.75576229e-03 -6.04239339e-03 ...\n", + " 1.27602620e-02 -1.56551410e-04 6.09382614e-03]\n", + " [ 4.76042777e-02 7.75138149e-03 1.91092528e-02 ...\n", + " 1.87490974e-02 7.75037473e-03 2.53382884e-02]\n", + " ...\n", + " [ 2.86369883e-02 2.99982373e-02 1.83928367e-02 ...\n", + " 2.65908614e-02 2.01661661e-02 -2.73595136e-02]\n", + " [ 8.97020753e-03 -6.53512357e-03 3.41770463e-02 ...\n", + " 2.69126520e-02 1.76171586e-02 2.25375853e-02]\n", + " [-2.23810552e-03 1.58186182e-02 2.26858957e-03 ...\n", + " -4.28507943e-03 7.82028958e-03 1.24605652e-02]]]\n", + "\n", + "\n", + " [[[ 7.22683128e-03 4.58614230e-02 3.10174208e-02 ...\n", + " 2.91152559e-02 -9.58531536e-03 6.97830971e-03]\n", + " [ 3.96141820e-02 -4.82130563e-03 5.26121035e-02 ...\n", + " -1.38356327e-03 5.12623824e-02 2.96221823e-02]\n", + " [-2.46923114e-03 -6.34402363e-03 1.18774204e-02 ...\n", + " 3.44552100e-02 -1.47679327e-02 -1.16710020e-02]\n", + " ...\n", + " [-1.59391332e-02 1.35424165e-02 1.68817509e-02 ...\n", + " 1.74070913e-02 -6.36234926e-03 -6.75049657e-03]\n", + " [ 4.18984629e-02 -4.24622092e-03 3.76002304e-02 ...\n", + " 8.88200756e-03 4.87649888e-02 1.22362319e-02]\n", + " [ 5.21701425e-02 1.14960326e-02 2.48283800e-03 ...\n", + " 3.80538143e-02 3.15706097e-02 3.48348729e-02]]\n", + "\n", + " [[ 1.90837793e-02 3.72619368e-02 3.85894962e-02 ...\n", + " 4.89700772e-02 2.96788719e-02 -2.14467105e-03]\n", + " [-5.91453165e-03 2.05436274e-02 -1.46548469e-02 ...\n", + " -2.05115248e-02 1.96324978e-02 -3.44371833e-02]\n", + " [-5.96520212e-03 4.92472537e-02 4.34893146e-02 ...\n", + " 3.32865268e-02 3.69704738e-02 1.54782571e-02]\n", + " ...\n", + " [ 4.88603078e-02 3.07179019e-02 6.00244338e-03 ...\n", + " 3.24961506e-02 9.06112883e-03 -3.07537569e-03]\n", + " [ 9.49585531e-03 3.32879983e-02 3.36177312e-02 ...\n", + " 4.76110093e-02 -6.08341396e-03 4.74338941e-02]\n", + " [ 1.76009219e-02 2.39009820e-02 -1.96672641e-02 ...\n", + " -1.24400966e-02 -1.49181085e-02 -5.24621783e-03]]\n", + "\n", + " [[ 3.63261029e-02 1.47653623e-02 3.67902331e-02 ...\n", + " 3.90159488e-02 -3.87869496e-03 -7.32094934e-03]\n", + " [ 1.35354195e-02 3.70575935e-02 1.85965952e-02 ...\n", + " -3.68087995e-03 -5.22368541e-03 5.36930487e-02]\n", + " [-7.41507439e-03 1.14733046e-02 9.22450516e-03 ...\n", + " 2.81937364e-02 -1.44174341e-02 3.87102589e-02]\n", + " ...\n", + " [ 6.52429136e-03 -2.60338839e-03 7.66335474e-03 ...\n", + " 4.28851433e-02 2.43358277e-02 2.43614689e-02]\n", + " [ 1.97387878e-02 4.69992571e-02 4.80395444e-02 ...\n", + " 3.63973342e-02 3.77671532e-02 -5.92615979e-04]\n", + " [ 5.64632341e-02 3.69668826e-02 3.63043584e-02 ...\n", + " -9.74874478e-04 2.18324848e-02 4.00108062e-02]]\n", + "\n", + " [[ 6.07197289e-04 -2.41090870e-03 2.24021804e-02 ...\n", + " 3.24147269e-02 -2.42200634e-03 2.30654497e-02]\n", + " [ 2.28051152e-02 -1.24313384e-02 1.78453811e-02 ...\n", + " 2.34581213e-02 -2.61013974e-02 2.48959120e-02]\n", + " [ 3.10773440e-02 3.52067500e-02 -1.85225159e-03 ...\n", + " -9.34000686e-03 2.82478109e-02 3.61563116e-02]\n", + " ...\n", + " [ 4.49588336e-02 9.85928904e-03 4.10201289e-02 ...\n", + " 1.88210029e-02 -5.48141589e-03 1.52051020e-02]\n", + " [ 3.06914728e-02 3.97383794e-02 4.30385768e-02 ...\n", + " 4.83094789e-02 1.32266385e-02 3.96445617e-02]\n", + " [ 1.92177221e-02 7.88364001e-03 -1.10752340e-02 ...\n", + " -9.59827378e-03 -2.15942711e-02 1.53853996e-02]]]\n", + "\n", + "\n", + " [[[ 1.03712846e-02 3.38803641e-02 1.74730048e-02 ...\n", + " 3.09924968e-02 3.04273590e-02 -1.70595408e-03]\n", + " [ 3.01504787e-03 6.57744333e-03 -9.00026225e-03 ...\n", + " 3.59444530e-04 2.67128944e-02 -9.08359792e-03]\n", + " [ 1.61285512e-02 4.09751125e-02 -2.14651390e-03 ...\n", + " 4.65535745e-02 2.83470619e-02 5.14228903e-02]\n", + " ...\n", + " [-1.45326601e-02 3.13891433e-02 3.06324624e-02 ...\n", + " -7.89441448e-03 -2.06867568e-02 1.69569645e-02]\n", + " [ 1.25418678e-02 5.89422323e-03 9.16960463e-03 ...\n", + " 3.65449786e-02 1.16773797e-02 2.57964805e-02]\n", + " [ 1.55348731e-02 7.64215970e-03 1.31349629e-02 ...\n", + " -2.02225856e-02 -1.67501275e-03 -1.93734374e-02]]\n", + "\n", + " [[-3.57440161e-03 3.40164490e-02 1.65651590e-02 ...\n", + " -1.27172228e-02 -1.47643983e-02 -2.23924499e-02]\n", + " [ 8.34842492e-03 -1.21517887e-03 -2.35840883e-02 ...\n", + " 1.78286135e-02 -6.42098067e-03 -1.15328934e-02]\n", + " [ 3.60382311e-02 2.22713668e-02 4.32965197e-02 ...\n", + " 3.29368003e-02 3.61942425e-02 3.54080871e-02]\n", + " ...\n", + " [ 1.58410836e-02 1.03890225e-02 8.94232304e-04 ...\n", + " 3.59341130e-02 -9.93929803e-03 -9.58432537e-03]\n", + " [ 8.61638132e-03 2.71958560e-02 2.52609532e-02 ...\n", + " 4.10785340e-02 4.57386039e-02 2.20636092e-02]\n", + " [ 9.48383473e-03 -9.25054401e-03 -2.20229793e-02 ...\n", + " -1.79182529e-03 9.25461994e-04 -9.69530607e-04]]\n", + "\n", + " [[-1.41457962e-02 3.78197692e-02 3.40201370e-02 ...\n", + " 3.01143639e-02 1.51769770e-03 4.44490500e-02]\n", + " [ 1.89198703e-02 4.07907628e-02 1.67110207e-04 ...\n", + " 1.48565127e-02 1.91338919e-03 5.14956862e-02]\n", + " [ 8.85789748e-03 -8.30473751e-03 -2.24819477e-03 ...\n", + " -3.47638689e-03 4.93441038e-02 4.56140824e-02]\n", + " ...\n", + " [ 1.25740441e-02 1.71760824e-02 8.69815995e-06 ...\n", + " 1.07559161e-02 3.03591564e-02 2.60369144e-02]\n", + " [-1.05641922e-02 2.62396764e-02 3.65123898e-02 ...\n", + " 4.58915345e-02 2.46809367e-02 1.49745047e-02]\n", + " [ 9.67919361e-03 -5.27385063e-03 1.56436563e-02 ...\n", + " 4.58404422e-02 1.72994193e-02 1.90938208e-02]]\n", + "\n", + " [[ 2.39772676e-03 -1.29810600e-02 1.91465504e-02 ...\n", + " -7.98084890e-04 3.44995484e-02 -1.30887758e-02]\n", + " [-1.56835150e-02 1.96446795e-02 2.69665178e-02 ...\n", + " 1.62596051e-02 1.84792783e-02 -1.92219391e-02]\n", + " [ 2.03137156e-02 -2.04248098e-03 1.67177934e-02 ...\n", + " 3.55122834e-02 3.83622944e-02 8.42675276e-04]\n", + " ...\n", + " [ 1.25975609e-02 -1.99459065e-02 4.61772420e-02 ...\n", + " 1.47028174e-03 -1.43401101e-02 1.46939773e-02]\n", + " [-1.52659963e-03 4.71075624e-02 -4.77949623e-03 ...\n", + " 2.93093007e-02 2.66285390e-02 4.95393202e-02]\n", + " [ 3.69925052e-03 1.91910136e-02 -1.58812441e-02 ...\n", + " 1.08000375e-02 1.58202276e-02 -1.84563361e-02]]]]\n", + "\n", + "\n", + "\n", + " [[[[ 1.29058417e-02 3.94324772e-02 1.60867423e-02 ...\n", + " 3.63877490e-02 2.74599679e-02 4.31797840e-03]\n", + " [ 3.37097421e-02 1.61089338e-02 1.83385499e-02 ...\n", + " 1.89331919e-03 3.77708301e-02 2.37466861e-02]\n", + " [ 3.51766939e-03 4.85463813e-02 1.02785062e-02 ...\n", + " 4.84720133e-02 2.77102552e-02 3.77991833e-02]\n", + " ...\n", + " [ 1.00424485e-02 1.61133315e-02 -2.08342914e-02 ...\n", + " 1.00807343e-02 5.54410182e-03 3.54165141e-03]\n", + " [-3.03078089e-02 -1.56325866e-02 -1.58139542e-02 ...\n", + " 1.33697381e-02 -3.82675342e-02 -9.49416496e-03]\n", + " [-1.52154071e-02 -5.61761716e-03 3.02807186e-02 ...\n", + " 2.16598008e-02 2.06499398e-02 9.67080146e-03]]\n", + "\n", + " [[ 9.40006785e-03 2.12291032e-02 2.78754868e-02 ...\n", + " 2.18821205e-02 -2.71709431e-02 1.99956773e-03]\n", + " [-3.44064049e-02 1.57858692e-02 -2.24785022e-02 ...\n", + " 1.19286990e-02 -2.06775069e-02 9.48444381e-03]\n", + " [-8.68621655e-03 1.10564325e-02 -4.32212604e-03 ...\n", + " -1.89655684e-02 1.92162972e-02 1.14227470e-03]\n", + " ...\n", + " [ 1.87501013e-02 4.31950018e-03 2.18382608e-02 ...\n", + " 4.12609912e-02 2.50016861e-02 -5.61464345e-03]\n", + " [ 4.63077240e-02 1.17894623e-03 2.02603620e-02 ...\n", + " 2.65152343e-02 2.04192810e-02 2.90367706e-03]\n", + " [-3.91063560e-03 1.80055890e-02 1.26276603e-02 ...\n", + " 4.55915704e-02 2.13642735e-02 3.26390043e-02]]\n", + "\n", + " [[-3.90178524e-03 2.06959359e-02 4.55379661e-04 ...\n", + " 3.96151356e-02 -2.14352668e-03 2.33320110e-02]\n", + " [-4.94043296e-03 1.67309400e-02 4.83180843e-02 ...\n", + " 2.00863350e-02 4.20887209e-02 2.78926513e-04]\n", + " [ 1.08943954e-02 4.95421700e-02 4.76898663e-02 ...\n", + " 2.97574438e-02 6.08393690e-03 2.09496282e-02]\n", + " ...\n", + " [-1.05324909e-02 4.38361317e-02 -7.90287554e-03 ...\n", + " 1.08488472e-02 3.14593911e-02 1.57168764e-03]\n", + " [-2.55404916e-02 1.55919679e-02 -1.90548543e-02 ...\n", + " 1.45928224e-03 1.57857183e-02 8.93716700e-03]\n", + " [ 1.49967819e-02 5.89812687e-03 1.23556433e-02 ...\n", + " -1.62543636e-02 -5.65854646e-03 2.26190612e-02]]\n", + "\n", + " [[ 1.06936470e-02 9.32077691e-03 -5.36234258e-03 ...\n", + " -2.34781336e-02 -7.39816343e-03 -6.92782877e-03]\n", + " [ 3.11646312e-02 -1.67482458e-02 3.10668331e-02 ...\n", + " -6.95268949e-03 2.51030680e-02 -4.15223092e-03]\n", + " [ 1.88445244e-02 2.20967475e-02 1.46335419e-02 ...\n", + " -4.54996340e-03 -5.25274780e-03 3.94704826e-02]\n", + " ...\n", + " [ 3.22983339e-02 1.18816097e-03 1.15058869e-02 ...\n", + " 2.42917854e-02 1.37349246e-02 4.95112054e-02]\n", + " [ 1.68522112e-02 1.28311841e-02 2.85980739e-02 ...\n", + " 2.91406848e-02 3.52075957e-02 4.35498208e-02]\n", + " [ 4.46592225e-03 3.80041786e-02 5.39729446e-02 ...\n", + " 2.41237064e-03 1.80245582e-02 4.69041951e-02]]]\n", + "\n", + "\n", + " [[[ 1.16683310e-02 5.21727977e-03 -2.20888555e-02 ...\n", + " -4.13491949e-02 1.82107128e-02 -1.38683962e-02]\n", + " [-1.68765858e-02 -1.32142343e-02 -1.59588065e-02 ...\n", + " 8.89019668e-03 -4.14766325e-03 -6.00164058e-04]\n", + " [-1.29950438e-02 -3.85156572e-02 1.70563497e-02 ...\n", + " -2.74580587e-02 -3.17111276e-02 -9.92082153e-03]\n", + " ...\n", + " [-3.89106735e-03 4.30011749e-02 1.12062152e-02 ...\n", + " 8.43591709e-03 -9.29524843e-03 8.78066849e-03]\n", + " [ 2.41518524e-02 2.96626296e-02 -1.47185987e-03 ...\n", + " 2.43659262e-02 3.90724465e-02 3.54056396e-02]\n", + " [ 2.28442419e-02 3.44071537e-03 2.72995457e-02 ...\n", + " 2.90773138e-02 2.24680118e-02 3.47402468e-02]]\n", + "\n", + " [[ 2.73378030e-03 2.46152561e-02 1.87577941e-02 ...\n", + " 4.59181964e-02 1.53291719e-02 3.51939499e-02]\n", + " [ 1.35124223e-02 1.14772981e-02 4.72158119e-02 ...\n", + " 3.41700315e-02 2.63450798e-02 2.21822616e-02]\n", + " [ 9.21326596e-03 1.50956614e-02 1.88049991e-02 ...\n", + " -6.22684835e-03 1.21034021e-02 -1.51567673e-03]\n", + " ...\n", + " [-1.72448047e-02 -2.83291843e-02 3.00167669e-02 ...\n", + " 2.24605855e-02 -7.43949832e-03 2.88083702e-02]\n", + " [ 1.09960753e-02 -6.61996333e-03 2.50485577e-02 ...\n", + " 2.34512687e-02 -1.53770996e-02 2.58274097e-02]\n", + " [-3.60208214e-03 -2.80002113e-02 -5.45882806e-03 ...\n", + " -1.03749400e-02 2.31775865e-02 5.73422108e-03]]\n", + "\n", + " [[-1.33889979e-02 -2.87468452e-02 1.68079622e-02 ...\n", + " -1.06318798e-02 1.24794757e-03 2.71400157e-02]\n", + " [ 3.87604237e-02 7.76874693e-03 2.29718257e-02 ...\n", + " 2.72107068e-02 1.05957482e-02 1.92985497e-02]\n", + " [ 1.68165229e-02 -8.94073490e-03 1.24355331e-02 ...\n", + " 3.36060561e-02 -8.12096242e-03 -1.12237753e-02]\n", + " ...\n", + " [-5.38186927e-04 8.13480094e-03 5.18682762e-04 ...\n", + " 4.88912463e-02 -9.42014623e-03 2.06408706e-02]\n", + " [ 1.55228246e-02 3.71356588e-03 -6.95011392e-03 ...\n", + " -7.61962682e-03 2.14936398e-02 4.39856015e-02]\n", + " [ 4.42653894e-02 4.36026640e-02 1.23676741e-02 ...\n", + " 2.92799100e-02 -1.35172522e-02 2.10193321e-02]]\n", + "\n", + " [[ 3.48652266e-02 1.71655156e-02 4.14780229e-02 ...\n", + " 1.50617398e-02 -3.40659404e-03 4.99106385e-02]\n", + " [ 1.82661489e-02 8.86128191e-03 5.01890443e-02 ...\n", + " -9.09967721e-03 1.31576499e-02 4.23769802e-02]\n", + " [ 2.69468259e-02 4.56420146e-02 4.56306748e-02 ...\n", + " 1.76928304e-02 4.69416454e-02 6.26256038e-03]\n", + " ...\n", + " [ 1.37531627e-02 1.65549293e-02 1.63440723e-02 ...\n", + " -2.00474802e-02 2.49541942e-02 2.23362818e-02]\n", + " [ 2.55079512e-02 1.15162712e-02 -1.43671930e-02 ...\n", + " 3.96916568e-02 -1.32262195e-02 -5.50942589e-03]\n", + " [ 3.10686156e-02 2.46138461e-02 2.54769786e-03 ...\n", + " -1.37489541e-02 -1.52219282e-02 -9.45571065e-03]]]\n", + "\n", + "\n", + " [[[ 3.85029912e-02 2.71447171e-02 2.64697224e-02 ...\n", + " -4.72761597e-03 4.26667295e-02 -8.50227661e-03]\n", + " [ 3.89057398e-02 1.28605999e-02 5.28906286e-02 ...\n", + " 1.94721669e-02 4.16322388e-02 -5.45142312e-03]\n", + " [-7.53285829e-03 -1.24769211e-02 -7.79690128e-03 ...\n", + " 6.36440329e-03 -1.07012857e-02 4.01000492e-02]\n", + " ...\n", + " [ 3.24890278e-02 2.50801183e-02 1.92939471e-02 ...\n", + " 3.27237584e-02 2.11454667e-02 3.82194780e-02]\n", + " [-1.72654372e-02 4.89831204e-03 1.48842661e-02 ...\n", + " 1.45676276e-02 -1.37413684e-02 2.28359587e-02]\n", + " [ 2.37050722e-03 -6.90479949e-03 1.68448426e-02 ...\n", + " -1.49569754e-02 -1.10693583e-02 -1.64743401e-02]]\n", + "\n", + " [[ 1.44370617e-02 -3.03891804e-02 -2.86073890e-02 ...\n", + " 7.28724664e-03 -1.51898973e-02 -2.64147352e-02]\n", + " [-1.05682081e-02 2.70756930e-02 -4.96182218e-03 ...\n", + " -3.67027870e-03 3.09586283e-02 5.24813961e-03]\n", + " [ 9.82739683e-03 4.56133373e-02 2.32733469e-02 ...\n", + " 1.57933887e-02 1.27444894e-03 2.93184556e-02]\n", + " ...\n", + " [ 3.57494913e-02 1.10793766e-02 3.24210674e-02 ...\n", + " 2.06928495e-02 4.02554460e-02 1.96103510e-02]\n", + " [ 3.40644009e-02 -2.84683681e-03 2.39327885e-02 ...\n", + " 3.27755176e-02 4.31362391e-02 1.02480119e-02]\n", + " [ 2.70868856e-02 1.51188709e-02 4.74517569e-02 ...\n", + " 5.40093100e-03 2.85616647e-02 2.28737444e-02]]\n", + "\n", + " [[ 4.74606343e-02 2.52802502e-02 1.83765739e-02 ...\n", + " 2.61481795e-02 1.45172914e-02 2.12577954e-02]\n", + " [ 3.74414101e-02 4.75984961e-02 -3.98466131e-04 ...\n", + " 2.90738381e-02 -1.63625472e-03 2.54588518e-02]\n", + " [ 5.67384472e-04 -5.56564517e-03 3.52159590e-02 ...\n", + " 2.52717435e-02 3.41717452e-02 3.27410325e-02]\n", + " ...\n", + " [ 2.71853469e-02 3.27695012e-02 5.10535650e-02 ...\n", + " 4.72214483e-02 4.69051898e-02 1.31693725e-02]\n", + " [ 2.54928824e-02 1.58088263e-02 3.94492708e-02 ...\n", + " 1.56312040e-03 3.72541137e-02 1.20219691e-02]\n", + " [ 3.10032293e-02 -1.13793812e-03 6.73609413e-03 ...\n", + " -6.46761432e-03 -2.27422155e-02 2.31987480e-02]]\n", + "\n", + " [[-2.10482925e-02 5.35946339e-03 1.18477433e-03 ...\n", + " 9.43118054e-03 -1.73206590e-02 1.86074972e-02]\n", + " [-2.88881885e-04 9.45936143e-03 2.89415773e-02 ...\n", + " 4.38975878e-02 1.58729460e-02 1.94486603e-02]\n", + " [ 4.91431840e-02 7.57889543e-03 4.19681333e-02 ...\n", + " 1.99608598e-02 3.92013751e-02 1.74017362e-02]\n", + " ...\n", + " [ 2.54608635e-02 4.51631797e-03 3.27085741e-02 ...\n", + " 3.30644287e-02 1.07390080e-02 1.32168299e-02]\n", + " [ 5.72572695e-03 -1.99521729e-03 2.22158991e-03 ...\n", + " 3.59321479e-03 1.76856592e-02 -3.73810017e-03]\n", + " [ 3.73482183e-02 3.27438787e-02 7.75146484e-03 ...\n", + " 3.46927680e-02 3.33619229e-02 5.91987092e-03]]]\n", + "\n", + "\n", + " [[[-1.07018985e-02 -2.25757994e-03 1.71233863e-02 ...\n", + " 2.38618162e-02 -3.63768898e-02 7.48841790e-03]\n", + " [-9.75573063e-03 1.88498311e-02 3.35990004e-02 ...\n", + " 2.63274033e-02 2.43512988e-02 -4.85049793e-03]\n", + " [-6.38171658e-03 -2.30747685e-02 2.20058728e-02 ...\n", + " -2.70653628e-02 1.02192173e-02 -8.90825968e-03]\n", + " ...\n", + " [ 8.14458169e-03 3.03044375e-02 2.29498204e-02 ...\n", + " 3.13429832e-02 -7.18400069e-03 6.00229762e-03]\n", + " [ 4.28229906e-02 2.90639270e-02 1.13513153e-02 ...\n", + " 4.21094783e-02 8.22425075e-03 -4.64201468e-04]\n", + " [ 1.53603833e-02 3.17837223e-02 9.44677158e-04 ...\n", + " 4.73057441e-02 4.73660324e-03 -5.81658538e-03]]\n", + "\n", + " [[-3.67183145e-03 -6.71847863e-03 7.80932512e-03 ...\n", + " -2.18265201e-03 9.29969130e-04 1.09676290e-02]\n", + " [ 4.12039133e-03 3.55502106e-02 3.04396357e-02 ...\n", + " 4.04489674e-02 5.07216342e-02 5.85990446e-03]\n", + " [ 1.74079780e-02 1.33534735e-02 -1.12701412e-02 ...\n", + " 2.54039112e-02 3.96040082e-02 3.57514210e-02]\n", + " ...\n", + " [ 3.99774760e-02 3.38533171e-03 1.99280381e-02 ...\n", + " -5.56150079e-03 -9.41656251e-03 1.08479438e-02]\n", + " [ 3.75974663e-02 8.70730553e-04 6.23102905e-03 ...\n", + " 1.13594104e-02 -4.59691882e-03 1.83334686e-02]\n", + " [-1.67317092e-02 -3.60207749e-03 2.25675665e-02 ...\n", + " 3.60245816e-02 1.57070849e-02 -2.44235583e-02]]\n", + "\n", + " [[ 2.72582602e-02 1.67982578e-02 9.39815305e-03 ...\n", + " 2.53243260e-02 6.26378926e-03 1.31125338e-02]\n", + " [ 3.62576768e-02 3.04029882e-02 4.58120368e-02 ...\n", + " 2.80862488e-02 3.61547768e-02 3.38607281e-02]\n", + " [ 3.03543527e-02 2.27992497e-02 -2.22812034e-03 ...\n", + " 9.21449391e-04 2.38814857e-02 2.37495564e-02]\n", + " ...\n", + " [ 9.40641854e-03 2.41654199e-02 2.76808366e-02 ...\n", + " 4.73845042e-02 3.19971256e-02 1.33086117e-02]\n", + " [ 1.88141298e-02 6.77159848e-03 2.21942943e-02 ...\n", + " 2.08967756e-02 2.45615859e-02 4.50068079e-02]\n", + " [ 1.35180345e-02 2.46550664e-02 2.87331287e-02 ...\n", + " -3.81715619e-03 -6.98687159e-04 3.20890583e-02]]\n", + "\n", + " [[ 2.43657287e-02 3.42617072e-02 -6.28824998e-03 ...\n", + " 1.67943053e-02 8.95087048e-03 2.03174888e-03]\n", + " [ 6.20553596e-03 1.01609353e-03 2.99384780e-02 ...\n", + " 1.60526875e-02 2.77833510e-02 -3.17017850e-03]\n", + " [ 2.38591991e-02 1.35234268e-02 -9.54066962e-03 ...\n", + " -4.65437863e-03 7.38441665e-03 -1.67412811e-03]\n", + " ...\n", + " [ 2.91725211e-02 1.61477495e-02 4.22172993e-03 ...\n", + " 4.67748679e-02 -3.15464963e-03 1.45596321e-04]\n", + " [ 2.09895466e-02 2.26082634e-02 4.38601039e-02 ...\n", + " 6.33036252e-03 3.04773934e-02 1.26206614e-02]\n", + " [ 2.55482588e-02 2.59035472e-02 6.96542673e-03 ...\n", + " 4.64367028e-03 1.97783988e-02 -1.50437495e-02]]]]\n", + "\n", + "\n", + "\n", + " [[[[ 7.74736423e-03 3.62719223e-02 -3.82472150e-04 ...\n", + " 7.35737151e-03 3.52507792e-02 -5.62883960e-03]\n", + " [ 1.53270001e-02 5.07053249e-02 8.06836504e-03 ...\n", + " 1.60350911e-02 1.36010973e-02 2.77570467e-02]\n", + " [ 2.65258029e-02 2.60714591e-02 2.68176142e-02 ...\n", + " 5.12985326e-03 5.38176438e-03 -6.00776635e-03]\n", + " ...\n", + " [-7.42250727e-03 1.91062724e-03 3.49531472e-02 ...\n", + " 5.24042826e-03 1.87841393e-02 3.00038792e-02]\n", + " [ 5.50419511e-03 -1.54236355e-03 5.26790842e-02 ...\n", + " 1.48015225e-03 3.79743688e-02 2.70290319e-02]\n", + " [ 2.49171313e-02 9.85999964e-03 1.53449802e-02 ...\n", + " 1.28023298e-02 2.69618854e-02 -5.27156191e-03]]\n", + "\n", + " [[ 1.86949805e-03 3.78852636e-02 1.29271699e-02 ...\n", + " 2.32903864e-02 2.33750381e-02 1.73896775e-02]\n", + " [ 2.05654874e-02 -1.49187446e-02 -8.03128537e-03 ...\n", + " 3.04440651e-02 1.32445404e-02 2.84500122e-02]\n", + " [ 8.71920027e-03 4.69324328e-02 2.14310344e-02 ...\n", + " -5.35840169e-03 5.44988550e-03 1.56004578e-02]\n", + " ...\n", + " [ 2.28942633e-02 4.19382788e-02 1.89485289e-02 ...\n", + " 1.81996934e-02 2.36527883e-02 1.86428544e-04]\n", + " [ 2.49075051e-02 -1.47987604e-02 2.50605401e-02 ...\n", + " 3.01580373e-02 2.22538263e-02 1.75968073e-02]\n", + " [-3.03239096e-02 9.22908727e-03 -8.43274611e-05 ...\n", + " -2.96414159e-02 2.47966386e-02 2.76566744e-02]]\n", + "\n", + " [[ 3.16816159e-02 4.03589709e-03 5.02404161e-02 ...\n", + " 3.13362218e-02 8.43350310e-03 1.62860882e-02]\n", + " [ 4.92111892e-02 6.19952480e-05 4.11827005e-02 ...\n", + " 2.17359420e-02 -6.11916464e-03 1.17809130e-02]\n", + " [-8.12610798e-03 -1.24942895e-03 -4.16193018e-03 ...\n", + " 1.65596679e-02 1.22394525e-02 1.88873324e-03]\n", + " ...\n", + " [-2.08814237e-02 7.71991489e-03 -5.08504687e-03 ...\n", + " -3.28659336e-03 -1.06763318e-02 4.24860939e-02]\n", + " [ 1.26283467e-02 4.45148274e-02 -7.53304409e-03 ...\n", + " 9.24978312e-03 2.33531501e-02 8.84853676e-03]\n", + " [ 5.53137660e-02 3.36266495e-02 9.82323475e-03 ...\n", + " 8.62629339e-03 5.10937441e-03 1.07085127e-02]]\n", + "\n", + " [[ 2.08800733e-02 4.68945280e-02 1.12611847e-02 ...\n", + " 2.63383538e-02 2.79838853e-02 4.83112410e-02]\n", + " [-1.80954614e-03 -1.17985252e-03 -5.88272349e-04 ...\n", + " -1.14652719e-02 2.26107463e-02 -7.00211385e-03]\n", + " [ 1.75251234e-02 -1.31745962e-02 2.86208466e-02 ...\n", + " 1.01016695e-03 1.91165432e-02 3.02537177e-02]\n", + " ...\n", + " [ 4.21216935e-02 1.90869253e-02 4.18880768e-02 ...\n", + " 3.97451632e-02 -2.97201658e-03 1.62472948e-02]\n", + " [-7.34965876e-03 -1.02610299e-02 1.00124246e-02 ...\n", + " -1.24538951e-02 4.72918563e-02 4.57269475e-02]\n", + " [ 2.86076274e-02 -7.37073645e-03 -1.41473366e-02 ...\n", + " -1.01937177e-02 -2.73669269e-02 -8.60455539e-03]]]\n", + "\n", + "\n", + " [[[-1.27605665e-02 1.81809328e-02 -1.16990088e-02 ...\n", + " -6.48098346e-03 3.02557964e-02 2.31599081e-02]\n", + " [-1.82767492e-02 2.44508516e-02 9.91279166e-03 ...\n", + " -2.47046165e-02 -5.06371912e-03 -7.97162298e-03]\n", + " [ 8.67967028e-03 -9.74724256e-03 -8.11878499e-03 ...\n", + " 3.28624770e-02 4.84289788e-02 4.62919623e-02]\n", + " ...\n", + " [-7.87838548e-03 -1.62380338e-02 -7.92175531e-03 ...\n", + " 1.24749336e-02 2.27259882e-02 -1.10498769e-02]\n", + " [-1.50815584e-02 5.20253228e-03 2.04607546e-02 ...\n", + " 5.44016855e-03 -5.06485952e-03 2.58739442e-02]\n", + " [-6.16369862e-03 -3.14029381e-02 -2.62718294e-02 ...\n", + " -2.77991034e-02 3.14823389e-02 2.48870719e-02]]\n", + "\n", + " [[ 2.85389908e-02 -4.66399919e-03 1.41295176e-02 ...\n", + " 1.56180719e-02 2.66732555e-02 3.03553212e-02]\n", + " [ 1.97451767e-02 -1.48133328e-02 1.28675280e-02 ...\n", + " -1.45796696e-02 1.87740680e-02 2.62398068e-02]\n", + " [-1.55017227e-02 -1.25554726e-02 3.30491439e-02 ...\n", + " -6.39952999e-03 1.55378478e-02 1.83277391e-02]\n", + " ...\n", + " [-9.36374161e-03 2.60332972e-02 1.75075382e-02 ...\n", + " -1.22879809e-02 -4.24462807e-04 2.76610777e-02]\n", + " [-7.34962802e-03 3.02247852e-02 -7.46606011e-03 ...\n", + " 2.27315075e-04 4.12403680e-02 -8.21051467e-03]\n", + " [ 2.11610342e-03 1.79822501e-02 -1.42179346e-02 ...\n", + " 6.03706716e-03 -6.46672491e-03 -1.68631840e-02]]\n", + "\n", + " [[-6.33127289e-03 2.96507142e-02 -1.00550167e-02 ...\n", + " 4.13837805e-02 2.71264110e-02 -7.57647632e-03]\n", + " [ 1.53482557e-04 4.19745669e-02 1.68859046e-02 ...\n", + " -1.20058078e-02 1.75303570e-03 3.55363414e-02]\n", + " [ 3.75195891e-02 5.79497544e-04 4.51075239e-03 ...\n", + " 3.70362448e-03 9.22260620e-03 4.34878618e-02]\n", + " ...\n", + " [ 5.78141946e-04 1.37274414e-02 2.94990521e-02 ...\n", + " -6.33727852e-03 6.10148488e-03 3.44713368e-02]\n", + " [ 7.07692234e-03 -1.88493654e-02 -1.01973675e-02 ...\n", + " 7.24560721e-03 1.54923378e-02 -4.92260186e-03]\n", + " [ 2.20672973e-02 1.61395315e-02 -4.91869356e-03 ...\n", + " -5.21037867e-03 -5.39823028e-04 5.98207628e-03]]\n", + "\n", + " [[ 2.01455820e-02 2.81945243e-02 5.08179050e-03 ...\n", + " -5.86493919e-03 6.17109286e-03 1.34839658e-02]\n", + " [ 1.47935599e-02 -3.70297991e-02 -2.19212603e-02 ...\n", + " -2.91786380e-02 -1.66896190e-02 -1.67608839e-02]\n", + " [ 1.67427324e-02 2.61657014e-02 1.18059991e-02 ...\n", + " -5.56259695e-03 1.50141371e-02 2.60770158e-03]\n", + " ...\n", + " [-1.63558014e-02 -2.37572007e-04 -1.92458779e-02 ...\n", + " 3.31066363e-02 -2.44985372e-02 -1.08404262e-02]\n", + " [-1.31390188e-02 9.49859805e-03 -1.35393897e-02 ...\n", + " 2.79653892e-02 1.86794717e-02 1.71692893e-02]\n", + " [ 6.94240816e-03 7.14467978e-03 3.75425746e-03 ...\n", + " -2.99768802e-02 -3.60288583e-02 -1.28095467e-02]]]\n", + "\n", + "\n", + " [[[ 2.11868677e-02 -9.96612664e-03 8.59558117e-03 ...\n", + " 4.73009199e-02 3.72510292e-02 -6.55436609e-03]\n", + " [ 3.88666876e-02 1.20319920e-02 4.20661680e-02 ...\n", + " 5.34508266e-02 1.58497151e-02 4.35104370e-02]\n", + " [-1.63308252e-02 2.44827326e-02 2.22222358e-02 ...\n", + " 5.35551179e-03 -1.84983257e-02 3.34911793e-02]\n", + " ...\n", + " [-1.80839431e-02 2.14238726e-02 -1.06909461e-02 ...\n", + " 2.77499761e-02 8.86730966e-04 -1.26311965e-02]\n", + " [ 1.59114618e-02 3.48283872e-02 2.71619000e-02 ...\n", + " 6.75827544e-03 3.27624492e-02 2.95639243e-02]\n", + " [ 1.90737628e-04 4.51525226e-02 -2.70541850e-03 ...\n", + " 1.12850079e-02 4.76570874e-02 4.91213836e-02]]\n", + "\n", + " [[ 1.33486642e-02 2.72036307e-02 2.14295611e-02 ...\n", + " -5.13012055e-03 1.85544360e-02 4.87336814e-02]\n", + " [ 1.56584673e-03 7.83743709e-03 -3.60556468e-02 ...\n", + " -1.10897673e-02 1.81907304e-02 -2.00203601e-02]\n", + " [-3.43657099e-04 2.64395308e-02 8.50007124e-03 ...\n", + " -9.00120661e-03 3.23343836e-02 1.87527034e-02]\n", + " ...\n", + " [-3.78671126e-03 -5.22767007e-03 2.35135481e-02 ...\n", + " 1.53358327e-02 7.96789024e-03 6.60708686e-03]\n", + " [-1.16860382e-02 4.17103320e-02 -6.20359974e-03 ...\n", + " 4.51582260e-02 1.64941303e-04 1.63584109e-02]\n", + " [ 1.38044963e-02 -1.27564883e-02 8.85858026e-04 ...\n", + " -1.41527513e-02 -1.17428470e-02 -1.98067427e-02]]\n", + "\n", + " [[ 3.23182419e-02 1.52574722e-02 2.54316255e-02 ...\n", + " 2.28178501e-03 2.48478465e-02 1.87216159e-02]\n", + " [ 2.58126240e-02 2.88058501e-02 2.96997055e-02 ...\n", + " 3.93360108e-02 2.05071736e-02 2.80919345e-03]\n", + " [-5.91242407e-03 -1.29661094e-02 3.88389453e-02 ...\n", + " 2.80609913e-02 3.70080471e-02 3.84962708e-02]\n", + " ...\n", + " [ 1.65274832e-02 1.43088587e-02 -1.56551115e-02 ...\n", + " 1.64910816e-02 -1.01878913e-02 2.75342539e-02]\n", + " [-1.16130721e-03 3.54112573e-02 3.58722284e-02 ...\n", + " 3.77943031e-02 1.73574605e-03 3.66838016e-02]\n", + " [ 8.81439447e-03 2.84521356e-02 9.95833520e-03 ...\n", + " 1.07971970e-02 3.46505381e-02 4.43892889e-02]]\n", + "\n", + " [[ 4.44656648e-02 4.74977456e-02 1.66483689e-02 ...\n", + " 2.96796430e-02 2.56258585e-02 3.08444798e-02]\n", + " [ 1.30603090e-02 -7.75353285e-04 -1.59779284e-02 ...\n", + " 9.34959564e-04 2.27548666e-02 -1.37052117e-02]\n", + " [ 1.46654351e-02 4.17855307e-02 2.83121243e-02 ...\n", + " -4.75075189e-03 3.42233144e-02 3.95189114e-02]\n", + " ...\n", + " [ 3.92316058e-02 4.84945439e-02 -9.21849161e-03 ...\n", + " 1.77839380e-02 1.92411300e-02 4.04041372e-02]\n", + " [ 3.77853364e-02 2.22725626e-02 3.27572003e-02 ...\n", + " 1.02220122e-02 4.31632362e-02 1.71819946e-03]\n", + " [ 5.95429540e-03 7.73551827e-03 2.74229404e-02 ...\n", + " 2.99275778e-02 3.29281464e-02 -1.68196652e-02]]]\n", + "\n", + "\n", + " [[[ 5.04886732e-03 -1.22769475e-02 -3.85597255e-03 ...\n", + " 1.68547388e-02 4.46681976e-02 4.35630307e-02]\n", + " [ 1.04072015e-03 8.05755029e-04 -1.09925577e-02 ...\n", + " -8.79272819e-03 4.06337678e-02 3.24827433e-02]\n", + " [ 4.20902222e-02 2.55622845e-02 -4.14347788e-03 ...\n", + " 4.76988442e-02 1.33361332e-02 4.73681139e-03]\n", + " ...\n", + " [-8.69993959e-03 -1.99873559e-02 -1.84046198e-03 ...\n", + " -1.41794449e-02 -1.24287726e-02 1.89005006e-02]\n", + " [ 3.69961075e-02 3.06013152e-02 2.82095280e-03 ...\n", + " -1.34000648e-03 3.89002711e-02 8.87391809e-03]\n", + " [ 1.89900659e-02 8.25803075e-03 -1.78044122e-02 ...\n", + " 7.08921580e-04 1.93069130e-02 2.35683676e-02]]\n", + "\n", + " [[ 1.39946537e-02 -7.36065209e-03 -2.10975688e-02 ...\n", + " -1.30540309e-02 -2.38849083e-03 2.70500444e-02]\n", + " [ 4.23558615e-03 -1.93793233e-02 -3.20707038e-02 ...\n", + " 1.38475476e-02 -1.76585168e-02 1.29776467e-02]\n", + " [ 2.72791628e-02 2.99177673e-02 -1.27827041e-02 ...\n", + " 2.90844552e-02 9.05729271e-03 2.10835598e-02]\n", + " ...\n", + " [ 2.37750653e-02 -9.05474182e-03 3.56195541e-03 ...\n", + " 3.30747776e-02 3.94661203e-02 3.42459977e-02]\n", + " [ 1.46231875e-02 4.51142639e-02 -3.34705506e-03 ...\n", + " 7.72597035e-03 2.07399274e-03 1.38881076e-02]\n", + " [ 1.53656462e-02 8.81429529e-04 -1.74708776e-02 ...\n", + " -7.25741452e-03 -1.32340053e-02 2.14913785e-02]]\n", + "\n", + " [[-1.32796373e-02 2.87230741e-02 -3.32816830e-03 ...\n", + " 2.25570258e-02 2.71259844e-02 3.75422500e-02]\n", + " [ 1.40698357e-02 1.44374901e-02 5.29485121e-02 ...\n", + " 3.98283731e-03 -4.37272014e-03 1.32763404e-02]\n", + " [ 4.81907129e-02 -2.74787028e-03 4.13801782e-02 ...\n", + " 3.31853703e-03 2.42435448e-02 1.11477999e-02]\n", + " ...\n", + " [ 2.28140876e-02 3.23914625e-02 -5.68805402e-03 ...\n", + " 6.25824695e-03 3.18335406e-02 1.96601637e-02]\n", + " [ 2.15047151e-02 8.90108990e-04 9.10350401e-03 ...\n", + " -1.00954240e-02 2.81502046e-02 3.69451493e-02]\n", + " [ 1.64361279e-02 1.99842360e-02 2.51919124e-02 ...\n", + " -2.06641760e-02 -1.87638290e-02 3.73946950e-02]]\n", + "\n", + " [[ 6.86687534e-04 1.98637098e-02 1.98636036e-02 ...\n", + " 1.45724742e-02 3.89899090e-02 -9.88873560e-03]\n", + " [-1.83499791e-02 -1.58029255e-02 5.40414499e-03 ...\n", + " 6.55953409e-05 -9.78297647e-03 2.70584747e-02]\n", + " [ 3.50098610e-02 2.77579743e-02 1.62632447e-02 ...\n", + " 3.73616777e-02 1.76925566e-02 1.21856434e-02]\n", + " ...\n", + " [-1.17085390e-02 3.44368704e-02 -1.51272751e-02 ...\n", + " -2.64959666e-03 -5.43862348e-03 1.30209746e-02]\n", + " [ 7.52796605e-03 4.32977863e-02 -9.99577995e-03 ...\n", + " -2.34411587e-03 -4.90097608e-03 6.09752163e-03]\n", + " [-2.28704959e-02 1.81254204e-02 -7.54006300e-03 ...\n", + " -7.58347893e-03 1.47004065e-03 2.20653564e-02]]]]]\n", + " Sample biases: [0.0201417 0.02286583 0.01764884 0.02382767 0.01972403]\n", + "Layer Name: conv3d_transpose_20\n", + " Weights shape: (4, 4, 4, 1, 32)\n", + " Biases shape: (1,)\n", + " Sample weights: [[[[[ 0.03322268 0.02148495 0.00443227 ... 0.00846103 0.00342869\n", + " 0.03016722]]\n", + "\n", + " [[ 0.01164694 0.07382271 0.0492212 ... 0.07700145 0.03853027\n", + " 0.05510088]]\n", + "\n", + " [[-0.06556823 -0.04444744 0.0136703 ... 0.00817733 0.03580591\n", + " -0.05480626]]\n", + "\n", + " [[-0.01905567 -0.0154892 0.00543709 ... 0.02451676 -0.00420792\n", + " 0.00314848]]]\n", + "\n", + "\n", + " [[[ 0.0157461 0.0040182 -0.02787539 ... -0.05058367 -0.06470729\n", + " -0.04494428]]\n", + "\n", + " [[-0.03791343 -0.02354623 0.03917951 ... -0.07449632 -0.05313948\n", + " 0.00258378]]\n", + "\n", + " [[-0.04970888 -0.07822931 -0.0421383 ... 0.00609522 -0.03826433\n", + " -0.00095088]]\n", + "\n", + " [[-0.07184409 -0.02157342 -0.02883681 ... 0.01286417 -0.06651744\n", + " 0.04169058]]]\n", + "\n", + "\n", + " [[[-0.01656726 -0.0186484 -0.06124027 ... 0.02618925 -0.00793263\n", + " 0.04124586]]\n", + "\n", + " [[ 0.05143474 0.02901682 0.00297868 ... 0.02645311 0.03413723\n", + " 0.06590527]]\n", + "\n", + " [[ 0.03678661 0.01089961 -0.00171291 ... -0.0286123 -0.01664042\n", + " -0.06247981]]\n", + "\n", + " [[-0.01668641 -0.00539023 -0.00497268 ... -0.00712299 0.05915971\n", + " 0.03325587]]]\n", + "\n", + "\n", + " [[[-0.05520916 -0.03369888 -0.06038788 ... 0.00372221 -0.05926311\n", + " -0.01501405]]\n", + "\n", + " [[-0.05533413 -0.02004522 -0.05552652 ... 0.01867089 -0.07272159\n", + " -0.04012833]]\n", + "\n", + " [[-0.06984392 -0.03993189 -0.05948815 ... -0.0026794 0.00618477\n", + " -0.07140461]]\n", + "\n", + " [[-0.01184791 0.03366064 -0.07674949 ... -0.0611743 -0.0554519\n", + " -0.0339448 ]]]]\n", + "\n", + "\n", + "\n", + " [[[[-0.0423898 -0.06168499 -0.03964281 ... -0.01734159 0.03375759\n", + " -0.066052 ]]\n", + "\n", + " [[-0.01094182 0.06203631 -0.07758132 ... -0.03623531 -0.04076056\n", + " 0.08029947]]\n", + "\n", + " [[-0.0273744 -0.00373168 -0.00951208 ... -0.07614271 -0.03276475\n", + " -0.07736496]]\n", + "\n", + " [[ 0.06065248 0.01032601 -0.05670938 ... -0.02432542 -0.03545102\n", + " -0.02854657]]]\n", + "\n", + "\n", + " [[[-0.02589031 0.0712179 0.03408042 ... -0.02447636 -0.04195845\n", + " -0.07065021]]\n", + "\n", + " [[-0.03650673 -0.05412163 -0.06704783 ... 0.0123047 0.01714511\n", + " 0.00972774]]\n", + "\n", + " [[-0.04715575 -0.06890753 -0.07786846 ... -0.04951215 0.01260893\n", + " 0.04985377]]\n", + "\n", + " [[ 0.01618005 0.04796264 -0.0117198 ... -0.06971076 -0.06676947\n", + " -0.02594124]]]\n", + "\n", + "\n", + " [[[ 0.03800807 0.02233545 0.0448571 ... 0.010973 0.02097641\n", + " -0.00417487]]\n", + "\n", + " [[-0.05316389 0.05284053 -0.00360241 ... -0.03019337 -0.08148634\n", + " -0.04598936]]\n", + "\n", + " [[-0.00274868 -0.00532377 -0.03666094 ... -0.01808506 -0.01690079\n", + " -0.00248977]]\n", + "\n", + " [[-0.03500535 -0.05045896 -0.04066365 ... 0.01033969 -0.046883\n", + " -0.06177084]]]\n", + "\n", + "\n", + " [[[-0.06469393 0.00532553 -0.07707953 ... -0.02215818 0.05489018\n", + " 0.01464406]]\n", + "\n", + " [[-0.0671237 -0.0071997 -0.0062058 ... -0.03398261 -0.00866836\n", + " 0.00349851]]\n", + "\n", + " [[ 0.01482421 0.05677447 0.03873227 ... -0.01056425 -0.04069102\n", + " -0.0525727 ]]\n", + "\n", + " [[-0.02195579 0.00605306 -0.00586039 ... -0.04500931 -0.04761837\n", + " 0.00207707]]]]\n", + "\n", + "\n", + "\n", + " [[[[ 0.05570808 -0.00307659 -0.04161871 ... 0.02907955 -0.01817711\n", + " 0.01468508]]\n", + "\n", + " [[ 0.06025536 0.00689445 0.0589368 ... 0.0403687 0.03752849\n", + " 0.05397376]]\n", + "\n", + " [[ 0.02299524 -0.06618392 -0.04834909 ... 0.05577629 0.00152781\n", + " 0.01330142]]\n", + "\n", + " [[ 0.01717539 0.03862988 0.01816814 ... 0.00729249 0.04468438\n", + " 0.04793258]]]\n", + "\n", + "\n", + " [[[-0.04355128 -0.0013656 -0.0394544 ... -0.02048222 -0.03060813\n", + " 0.01219514]]\n", + "\n", + " [[-0.05578747 -0.01830807 -0.03020561 ... -0.04948459 -0.02940407\n", + " -0.02807331]]\n", + "\n", + " [[-0.02019078 -0.04659542 -0.00655392 ... -0.04694907 -0.06338172\n", + " 0.02501955]]\n", + "\n", + " [[-0.06677875 -0.00698638 -0.03344017 ... -0.0136498 -0.02027566\n", + " 0.00541202]]]\n", + "\n", + "\n", + " [[[-0.0471339 -0.02649513 0.00705939 ... 0.04322309 -0.04644843\n", + " -0.00707922]]\n", + "\n", + " [[-0.02611537 0.07951417 0.05685081 ... 0.04021147 0.01759528\n", + " 0.03179554]]\n", + "\n", + " [[ 0.01756389 -0.01891166 0.02656263 ... -0.07522928 -0.0533907\n", + " -0.01039343]]\n", + "\n", + " [[ 0.04040943 0.00904126 0.01251749 ... 0.06685697 -0.01650647\n", + " 0.04317237]]]\n", + "\n", + "\n", + " [[[-0.00187504 -0.01570381 -0.03681427 ... -0.04457866 -0.02040219\n", + " -0.04929119]]\n", + "\n", + " [[-0.03154445 -0.00800571 -0.04824503 ... 0.01585444 -0.0193848\n", + " 0.00383787]]\n", + "\n", + " [[ 0.02970121 -0.06678195 -0.04383646 ... -0.02636938 -0.05545691\n", + " -0.04653342]]\n", + "\n", + " [[ 0.02510956 -0.03300308 -0.03018402 ... -0.07471649 -0.02521158\n", + " -0.03391918]]]]\n", + "\n", + "\n", + "\n", + " [[[[-0.06972768 -0.05426298 -0.06691462 ... 0.03313851 0.01030764\n", + " 0.02340572]]\n", + "\n", + " [[ 0.01135105 0.00439935 -0.0031953 ... 0.07127897 0.00228057\n", + " -0.05896037]]\n", + "\n", + " [[-0.002904 0.08203769 -0.07203946 ... -0.07002474 -0.02540712\n", + " 0.01732898]]\n", + "\n", + " [[ 0.00061524 -0.00155688 -0.00076711 ... 0.00477946 0.05427476\n", + " 0.04493922]]]\n", + "\n", + "\n", + " [[[-0.02918601 0.03149725 -0.06979391 ... -0.004253 0.0282551\n", + " 0.04529433]]\n", + "\n", + " [[-0.06895333 -0.05025016 0.02182098 ... -0.02168277 -0.06132507\n", + " -0.02529455]]\n", + "\n", + " [[ 0.01317194 0.00616625 -0.03635303 ... -0.0616596 -0.00495877\n", + " -0.01771147]]\n", + "\n", + " [[-0.07406589 0.00750784 -0.01741583 ... -0.07190986 0.00495442\n", + " -0.01565352]]]\n", + "\n", + "\n", + " [[[ 0.0269959 0.07942299 0.04206882 ... 0.03098566 -0.06192256\n", + " -0.00214281]]\n", + "\n", + " [[-0.05684658 -0.00177894 -0.02543759 ... 0.01719948 0.02693464\n", + " -0.07534733]]\n", + "\n", + " [[-0.07464007 -0.0054378 -0.04528193 ... -0.00197098 -0.00095006\n", + " 0.04681717]]\n", + "\n", + " [[ 0.03843021 0.05256262 0.01909341 ... -0.01003842 -0.06274951\n", + " 0.03234009]]]\n", + "\n", + "\n", + " [[[ 0.05565752 0.00528832 -0.01190968 ... -0.07489092 0.00946712\n", + " -0.00750647]]\n", + "\n", + " [[-0.03034024 0.03016656 0.03619817 ... -0.04232559 0.00462164\n", + " 0.00064687]]\n", + "\n", + " [[-0.03974046 -0.04717969 -0.04952607 ... -0.06288509 0.00712818\n", + " 0.01992396]]\n", + "\n", + " [[-0.05347678 -0.026379 -0.00155933 ... -0.06817518 -0.02705034\n", + " -0.0279184 ]]]]]\n", + " Sample biases: [-0.01053126]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Generate sample data for testing\n", + "num_samples = 5\n", + "test_voxels = np.random.randint(0, 2, (num_samples, 32, 32, 32, 1))\n", + "\n", + "# Plot the test voxels\n", + "plot_voxels(test_voxels, num_samples)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 203 + }, + "id": "1GTMNKDmcUeg", + "outputId": "c7554d09-e015-42e2-9719-65a3f2a4d090" + }, + "execution_count": 80, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": "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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "generator.save('generator_model.h5')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "yIOgFhGghhGX", + "outputId": "d9cfcb57-9a0e-469a-cd8e-e6fc4a2b956b" + }, + "execution_count": 87, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "WARNING:absl:You are saving your model as an HDF5 file via `model.save()` or `keras.saving.save_model(model)`. This file format is considered legacy. We recommend using instead the native Keras format, e.g. `model.save('my_model.keras')` or `keras.saving.save_model(model, 'my_model.keras')`. \n" + ] + } + ] + } + ] +} diff --git a/Generating 3D Design Voxels using GANs/README.md b/Generating 3D Design Voxels using GANs/README.md new file mode 100644 index 000000000..c823002fa --- /dev/null +++ b/Generating 3D Design Voxels using GANs/README.md @@ -0,0 +1,80 @@ +# 3D Voxel Data Generation using GANs: +-------------------------------------- + + +This project implements a Generative Adversarial Networks framework (GAN) to generate 3D voxel data. The goal is to train a GAN to produce synthetic 3D voxel-based structures that resemble real-world data, allowing for data augmentation and analysis of generated samples. + +## Project Overview + +This repository contains code for: + +- **Generator**: A neural network model that takes a latent vector (noise) as input and generates 3D voxel data. +- **Discriminator**: A neural network model that distinguishes between real voxel data and generated voxel data. +- **GAN Model**: A combination of the generator and discriminator models, trained together in an adversarial setup. + +The model is trained on 3D voxel datasets and can generate new voxel structures by learning the underlying data distribution. + + +## Requirements + +To run this project, you need the following dependencies installed: + +- Python 3.x +- TensorFlow 2.x +- NumPy +- Matplotlib (for visualization) + +## Install the dependencies using the following command: + +pip install -r requirements.txt + +## How to Run the Project +1. Clone the repository + +git clone https://github.com/Panchadip-128/Generating-3D-Designs-with-AI.git + + +2. Prepare Your Dataset +Place your 3D voxel data in a data/ directory or use the random voxel data generator as shown in the sample code. + +3. Train the GAN +To start training the GAN on your 3D voxel dataset, run: + +python train.py +You can adjust the number of epochs, batch size, and other hyperparameters in the train.py file to improvise parameters like accuracy,precision of the model with advanced GPUs. + +4. Visualize Generated Voxels +After training, you can visualize the generated 3D voxel data using: + +python visualize.py +This will generate and display synthetic voxel samples from the generator model. + +## Model Architecture +Generator: Takes a 150-dimensional latent space vector and transforms it through a series of Conv3DTranspose layers to generate a 32x32x32 voxel volume. +Discriminator: A 3D convolutional neural network that classifies input voxel volumes as real or fake. +Results +The GAN is trained over several epochs, and during training, both the generator loss and discriminator loss are monitored to ensure balanced training. At regular intervals, generated voxel samples are visualized to assess the quality of the outputs. + +Sample generated voxel at epoch 100: + +![smp1](https://github.com/user-attachments/assets/915a48cd-9065-47b0-b411-b2ddaecfb761) +![smp2](https://github.com/user-attachments/assets/70a5e97b-6386-4442-939b-8dd292bca64d) + +![smp3](https://github.com/user-attachments/assets/19e8c32f-0964-4aba-9137-04a659e087fb) +![smp4](https://github.com/user-attachments/assets/ae853ddd-06a0-487c-83bc-2c331d33e123) + +![smp5](https://github.com/user-attachments/assets/bc5d88e3-72f0-48ae-9031-eacedfa9b183) + + + +## Future Improvements +Implement Conditional GANs to generate voxel data conditioned on labels or classes. +Use Progressive Growing to generate higher resolution voxel structures. +Add more advanced loss functions like Wasserstein loss to stabilize training. +Experiment with Transfer Learning to apply the GAN model to different 3D voxel datasets. + +## Contributing: +If you'd like to contribute to this project, feel free to fork the repository and submit a pull request. Contributions are welcome! + + + diff --git a/Generating 3D Design Voxels using GANs/requirements.py b/Generating 3D Design Voxels using GANs/requirements.py new file mode 100644 index 000000000..0fbb4bb8f --- /dev/null +++ b/Generating 3D Design Voxels using GANs/requirements.py @@ -0,0 +1,4 @@ +tensorflow>=2.0 +numpy +matplotlib +pillow diff --git a/Generating 3D Design Voxels using GANs/src/Output/img b/Generating 3D Design Voxels using GANs/src/Output/img new file mode 100644 index 000000000..8b1378917 --- /dev/null +++ b/Generating 3D Design Voxels using GANs/src/Output/img @@ -0,0 +1 @@ + diff --git a/Generating 3D Design Voxels using GANs/src/Output/vox1.png b/Generating 3D Design Voxels using GANs/src/Output/vox1.png new file mode 100644 index 000000000..63ad056c2 Binary files /dev/null and b/Generating 3D Design Voxels using GANs/src/Output/vox1.png differ diff --git a/Generating 3D Design Voxels using GANs/src/Output/vox2.png b/Generating 3D Design Voxels using GANs/src/Output/vox2.png new file mode 100644 index 000000000..3db4858fd Binary files /dev/null and b/Generating 3D Design Voxels using GANs/src/Output/vox2.png differ diff --git a/Generating 3D Design Voxels using GANs/src/Output/vox3.png b/Generating 3D Design Voxels using GANs/src/Output/vox3.png new file mode 100644 index 000000000..20c4528a8 Binary files /dev/null and b/Generating 3D Design Voxels using GANs/src/Output/vox3.png differ diff --git a/Generating 3D Design Voxels using GANs/src/Output/vox4.png b/Generating 3D Design Voxels using GANs/src/Output/vox4.png new file mode 100644 index 000000000..d3c7e2907 Binary files /dev/null and b/Generating 3D Design Voxels using GANs/src/Output/vox4.png differ diff --git a/Generating 3D Design Voxels using GANs/src/Output/vox5.png b/Generating 3D Design Voxels using GANs/src/Output/vox5.png new file mode 100644 index 000000000..e08304fac Binary files /dev/null and b/Generating 3D Design Voxels using GANs/src/Output/vox5.png differ