{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"nvidiaTeslaT4","dataSources":[{"sourceId":34426,"databundleVersionId":3218632,"sourceType":"competition"}],"dockerImageVersionId":30733,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n\n# Input data files are available in the read-only \"../input/\" directory\n# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n\n\"\"\"\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))\n\"\"\"\n\n# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2024-06-10T12:07:30.852484Z","iopub.execute_input":"2024-06-10T12:07:30.852859Z","iopub.status.idle":"2024-06-10T12:07:31.234998Z","shell.execute_reply.started":"2024-06-10T12:07:30.852827Z","shell.execute_reply":"2024-06-10T12:07:31.234110Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# Cat and Dog Classification using ResNet-KAN Method\n\n### Description of Kolmogorov-Arnold Network (KAN)\n\nThe paper: https://arxiv.org/abs/2404.19756\n\nThe Kolmogorov-Arnold Network (KAN) is a type of artificial neural network based on the Kolmogorov-Arnold Representation Theorem. This network has distinct characteristics in its structure and operation, differing from Multi-Layer Perceptrons (MLPs). KAN features the following:\n\n1. **Kolmogorov-Arnold Representation Theorem**:\n   \n   ![image.png](attachment:cd64b317-6c43-47aa-87f5-05014c85d2be.png)\n   \n   \n2. **Learnable Activations on Edges**:\n   - Unlike MLPs, which have fixed activations on nodes, KAN has learnable activations on edges.\n\n3. **Sum Operation on Nodes**:\n   - KAN combines the results of several sum operations performed on nodes.\n\n### Comparison Between KAN and MLP\n\n#### Similarities\n- **Both models** can be used for universal approximation of continuous functions.\n- **Both models** consist of layers that can be combined to form deep networks.\n\n#### Differences\n1. **Activation Structure**:\n   - **MLP**: Uses fixed activation functions on nodes.\n   - **KAN**: Uses learnable activation functions on edges.\n\n2. **Learning and Operation Locations**:\n   - **MLP**: Learnable weights are on the edges between layers, with fixed activation functions.\n   - **KAN**: The activation functions themselves are on the edges and learnable, with sum operations on nodes.\n\n3. **Mathematical Formulas**:\n\n   ![image.png](attachment:d928ca85-a804-431d-b09a-ad0a095465f4.png)\n\n4. **Model Visualization**:\n   - **MLP Shallow**: Depicted as a network with a single layer of fixed activations on nodes and weights on edges.\n   - **KAN Shallow**: Depicted as a network with learnable functions on edges and sum operations on nodes.\n   - **MLP Deep**: A network with multiple layers, each layer having weights and fixed activation functions.\n   - **KAN Deep**: A network with multiple layers, but the learnable functions are on the edges.\n\n### Conclusion\nKAN and MLP are two different approaches to building neural networks with universal approximation capabilities. KAN offers higher flexibility in terms of having learnable activation functions on edges compared to MLPs, which use fixed activation functions on nodes. This makes KAN more adaptive in some cases, although with additional complexity in 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wnn83eS4kWJPnvXC8Uah5EgMhdDCr396B4Nek4KijGrZ50ZmXQJCK94xe14cJ8jkJsrJGBopXmuF5V8pci0Si6HxU+rzqzlJmg7Cgrpq0GnWj3s7sph1ET5yJ2EwDjyJ8kaU4CNBupH/yOEb0+GXqFiRgVlPZo9W0JnfQcqnSYSn1jNRg71iBVALeZ5vgyHiJsoLNfFeEPMLmPaSYpb1jWbhIHNsrRvADP6INNqrnIMJnyDs73AnnSNYr1cMHHjjsNjS/7BGNFdNe94QmBmYC1cceAaB6v7e+5FG6LCYbLjPAsnEK07fXbcFD7HkC0ciQipiyE5+TG+PZC9A/qsW1s1njhtstMNDNiZ325PRN/Z1y66d+UDK/bYZ1J33L1oegW0h1/afjclszQSdQH0jGRWUmUQt1RRwXMuN0LBRXfQ2RfEWch6F+OTQqFTT318pRDAW+cKHJ1iFvkFK9jz3SMojLrC4GAnCR8uzIehYxFwusz0ih+tylFpULq2EcU26DfVOhKxGw5n5qKTcTiGUZffZq+REb9ggAY4UBjX9DdZNvPGRTQh+aT5Ss2E6eHBu7UiqbKnzHo2QvsiSSFjhY0sjNyaeQS1mRfYicDMK3zwrTL0Yt1GIkevxoe5YU3KE+UgukIB+3ly6Y6lkY0YbGlYuR+lMY4U+8cImJK1NPqIcpMeoOy6yShcuE1cEYEtQBtDV2qYPejOObiWTIrVsKpoaHvi/NvyuGsEZSsP1fl/hdhaaVyobNFPKbn6OWhF3kC/L4/6MSxu3+AgkketTpWPhzIpDX8P0QUv1BuFsKJ8kUYqLhMv1TDni8XQidaYf9nwoFxScAeQtM4CXJkx3tXZK3z9rP6B0ywOnz4JlNLvg/dlMNSojjZaxOPspt06t/MlYgl4r176up59NnT8hXVGWAli6SGZAjmaP1VDbcL3npDU74fvMMnvqlH8G24ko/sJ88398F4NnhUMhCVcKKGmZYfi+fa1xI8dnkRLOc5UsM3riAwJhyWnYWMjSNUpQkEc/yxGQlz+rnNPWlp9rh32mB3ROAr9jQRil9aB5RsmLbv38/jh07hhs3bogLW2dl08aJI4hSQ1KtbIJ5GZDuy38+p1wyWZEsJNgG74lxJqbZ1Qnf9tzso0Timqg48KMK5D+WXJA1tWIYMdXrh7WFjT/4ULmkHJFKngwb66Mrqd2aPa5jQC2zqlm46CupBB/2of8GG2czwUCdURJWAVxg9SiQFc46xMhs8OVh0gkkbFJgmf4F+eE6qatKCJvk7REEWF8loXzcIyaqWEipjFjAjKoW+I8rP7uoriDLnxTzeBNaWZ7S4/phixyqdZF31gSjxYXgv+ulBJLX7LCw0M8mOzxH98N4I1LmGJsEC2W5Vg/B9+LEZlUpJVymxOC35JF/6MKXYluYeq4ls8S8OA8ltXeW3brVh6CX1PDWLVie6MBx1gGo/eeQnwgiJ3qlvgph1O8ZJZlKA0sExfEghjgGR9858iA7mzOT/mUbVfr1tcCfAqIytm1ejsE3j+Ma8w7H8xAHQvC+4kGgmHfT4IDv0xD1f1KS6+pwr3g5o5EK84Eg/NOUO6dE6gcyTuV1rDdhOSm7dB/9jvN62H+qQtgWR5o83EK/vdQ+NJ8oKxTJFNnDDz8sLtOq1ESi8J4jKbpAJY2FnR9fDKnvt4w8sCou7zoLhxvGY0Elaja7Efw8KH0XSzrYZSDrNo14TzDLuh0H1okJda0FnSw77N0gbLV5gmEcOo52I8nGHNd5EBKzzshKC3nQeBc18G8/g+eEfCC8iF5iIVwddOoULvcwYZXAqYvULTQ1qKEOEe8bHRsoNSuSobubPsws8JFZ4xUYYIpfjcVj3FkbNjyqhUZD3gEpMf3fUhGzIEVhSErvV2uh/mNAIcwsQFhCyvhKbFxlrKtIInowzxMWQ8km2N4IY6jagtbdbri3W6D79yA8ezLjfWXAkiyeqcSXr0xw/r0Sw2VKsPevhc6OY4xNhK8S4jN6WCDfNPb8pjj+LGW32uqrkfqO+l7kfXQcFGBaqUGiV1IojPAl+i0LF0MYyZIkz+6AGbqrUfh+reyRx6+SdlTTZ+TtfMQukzUmZBDHmYCKO2VvrMoO+4NJhOQITuS9DnjvYgI/gd7fldwzC2LZZELNXRoI5C4ZGpeLHu2IUqU2sGVlEpEJeKLlE0PyKv3uipGagPNpPTRUt16x/Q7i+JsdCO3QQzdc6FnF0vvQfGJujrHJJF4Pi1loJSeNkBWovU+btQhi+GxCdEcQ6U8hrZa/s5qadypODdpd3tx2b3jh/zqJNAkOPXkMhrvj8J1mr0wugxMO2F4Pkec2DI34nJCBFNcw4uf8cDydOyWRty8urdzoR5/c+aJn45LwoiP7C44NFIOUASlRNuNI/qxPOZzswWWSWZVV+eZEN1n0aaSSKhjeXQt80S1ON2UNkMHwsQ+WH5FyVkxJN2MpU8ZFZq3P0PasNBmwErGP2tBsMcLwD+S1/oMRZjsJg3IVExP4O/Xo7yRvK5NUMC5Z42lK4bICz3zlLNM98/0JD/xnk1j6iFc04EI+C9InQ4in1Vi+MYgmdRjeN+g48hijDWtQK84qcw16OeEh8boXge8EmN+VjMng5248dDUIV5HJd8WQORmO2gK5Zx3vBBH/UQ2sIcmgdGtjCPWlIPyjWzrHOyZcO+qEV/7+WE8UxnW10HwXgfca3eP8RxHKJNLXj9SNJK6RAnXpLtD1JqF9RDJwQ7tq0X9o9NzTCymwTyIYus8iZfSSMbu2gspeyNRtAtGelDgpQvLrIEJ1pODEz2VTeh+aT/DZ/TnjU0We68cmVJx1wfRi8ZEJ27sR2O+OoHmDI8+rJSG/Tks9LJMhl7+twFYfIts0CP/CDNdsTr3ElNq75NcesaH5g9INA2GbD/5//AbGLR2wef3Q/tYPNXnt2q+aYX6Zame9He4iGXEi6ThCr1A9yJvMyzYOdcBoL3F8skTGzB7PvMsaFRJZs8mL93ZhEObuaniq34c1azo16fNkg/Z1i0MIxbHBd8YOzTm5HhRhiSqkrMgk65Ufci98Dun7VCfMCN/noXq2Trq9iOdacj333Fnb5eNEV1jA8ZKzkLOR+orqSi+68739euqbb+kR3+dCyvIM4k8354bY50ofmmG4YuMUgD1Q7YN9ZQJdHwFNWwVE95nQOhL2LECDB8EDtdTRSji2KALsvgCsJAYstgmEDacMAykTN2r7XOW9WmWFDZ1v/hyLTxpgJY9HR9Z06p4t8O3WIjoJITNdiq0UrG+FyWi5gFg6jfAvWyf1OhTDq0G0PxhHm6l1EpnOGcjw+NyOyosxpNNhOFpKSwqbWaxwH9Dg+IsdpQ9jlIL4eqWHcP2rIeCKF7acNjpX+tDMwxUbpwAOdP3BAu3NPkT+pINe/Rlan2wrqVOKAvDHQVjIU5lwZ2IK8jfViP6yqYzQ31RDyt3rEwWDjRRJab9FgGm7E/aNeggLYvD/g3UkgYK9xaFlcQjmtm4svR5F9IG547GVhpzuf3rUi5s4kjJafNJCin8KRK48ftk9HeOQcx053X+MNzcn+tDswBUbpwAk1A+QBVijRvpqD/wvOsqw0Cfo5YxggOdjD6q/dszqCyjZ9E6eR9gYZUzKhi1IBTTaalQuqcTSu9RQZbLTvvNDT8pdQiFcds0AkzaTGFCA9GgojjG7im2KYTOW7K1F757bT/BOP3OjD80WXLFxpocqCzyvmTH8DgnwL+SyErF2dME40AHbRGYHmSoecMLfsbaEeUILMYzY/22E7U15c5LhMvbaG1uNBpXVAtQ3k4gPXEP/6SY4pmAmntlE2OhB++PD8G7JeuM3Z9LMiT40i3DFxuHMFLdzuIzDmUG4YuNwOBzOvGJOP8fG4XA4HE65cMXG4XA4nHkFV2wcDofDmVdwxcbhcDiceQVXbBwOh8OZV3DFxuFwOJx5BVdsHA6Hw5lXcMXG4XA4nHkFV2wcDofDmVdwxcbhcGYRAaa9fnS9apa3ObceZngCXfBsnNZX4pYFV2wcDmfWMOxuh2PlBXS8PPm3snFmiyAcb/aiurkdzga5aJbhio3DmVEE6H9mh3OXHebx3sU2aQRYNs5dT0h4qhPuNWkEX2wbed8c5xblbBtaP7oO4+5OWKvkslmEKzYOZ8YwwHnUh52NAioWGWB/K4jQW1ZSPxNBgG5FgU+ut8Pd4UPwc7KkN9XIhXOMqhZ4nluFxDEHOibxJm7O3CFx0InglVWw/6Zlgm166uCKjcOZKbb+HMa7riF23gXXy1a4uhPQ1FvhWCfvLwsbWl4wyut5XOxF5IQXgYvFX486ewiw722CLhmBdyrens2ZIyTQ8U4EQ8ua0LZtdlUbV2wczozxF0C9FNpKaSvaN4gUNBAelLZ1DSYYVkjrQl0jTI/qJ2b5fhtB6HRU3piDrHfAXKNC7PftMxKCZHXZmAn7rjDAtM4AnbTFmWrO0j39ToWax+key0WzAVdsHM5McagZRr0BVvmt2vqapVCTlRs7Teu7fHA/bYX7UBc6vV3wPGWE8Zn9CBx1Qi8dPm+wbdBDc6MP4ddnwFvb3I72F55Ca4cPvrf86HrBDAMpVt/nnbDKh3CmkgQ83X1Ia/Qwb5WLZgH+olHONKKD4dHFiJP3UK4I0zU0YnF/N6KzOf7CrHutWt6YAOkkegv99io7fH4rNGc9MDuH0X5kA3qOpGHdW4vLb1rR/AF9arsf0fXX0GFshl/+2ChOUoD9aLaP3ZPB6g2jpTIMvaVNLpkDVDngD1ggfNUBo9K1T3Gdtxz2Q70riuUBK9SnWmHeQz7iunaE9gr4Ut+EOVQzU8N0vaW9rO+1ojPcAv33AZi3eMru+1MBV2ycibHCDPsTdVD/9+Pwf6AkvA1wHHGhLuZG077yA04sY863BfA/S0J9lpSbflcX2n+mhYrWU9/HMXRDKi/Iwkos1aihYh8QSSKyz4TWE/LmCCyJxA193Av7ywGqO5YIQud40otgfRwuUytCdFRGMZlJMSVe6ERo3b3Sx0VUUN9Jn/lzWt4mblyA/4nWESU4FxWbsLsLwfVL0XfIANtBuTCLqa5z3QodYnUtCD+/GMF/sKKDysRreGSogMFwC1NlRfvbFqgCdskwmlKkNlv7J1dJ/dnui8C2Mo6AxQrPLPRfrtg45dPgRNdvjEh/RSK5TovERxZY85IArG+FYf9xEJYtHRO22AyvBuG5PwoHCebZSQfXU2duh/k+FdL9wZKvQ6izwr7DBtN9aqR68j0TA1rebcGqvg7Y3qRv2+qGO+WC6yPyLo5E0TTsg8HmpePMaA85oe1phv13gLonilxbeYo9tk3tCDbrISwc0RAS6TQS56kOXgzIBZOD/UbrfTH4ZSUzlqmvc9OBENz396J5gwNRMiIcR4Iw3/DCcKAP+uvR2Y0KTBlSvT2U8MD04jQ9E8iiDP9iwV/elyMKxSADJUoGSuxDPckGuWwG4WNsk4Wsv2g0irB3MhF75rpTB4t2kbiSS0gose/t2i0XzCFsT6+FdvgC4gsEqBeQ56BZKu+RWd8Oa10K4TcnrtQYkZd9iKrNaNk9W6NMUbTt9CKaIv+o2gzXgdKGwxM9frietMJ1Mo6KlUbY5HISv3RfHdD3B9B1UQ3TPzvQvkYHtZi8aIXuHiDex5QasXkNajVxRA+SIH5hC5ZLpdPHR60wP2yAXm9GSBT0KUTf0ENvMEyZUsv8RlxJ4JxUoMDU17mhWoPkRepPbLPKhrplKXzTHYJjpx2N4jG3PsL2Fqy9J4au6VJqjAEvnCcT0D/jHH98kozeJP0Tls3OSObcUWybOxEmQR4NZEQ7gwkCScBHqNwgl2awvRsR90X/4IdD4aFAZ4ApC1rCSg8NjlUmiqywwH04hHBE/i62RMLwvSDvv+2w46FlZNWTcHJ96Efgt21wOLMz8EgQP2mA5lIE3vNy0YQJ4khPAtp/smcJqhlmwI+296Mk5gFNQws6nyo1TzGB0J5WdP1bNR7aJhe94IG9ToDuZw6495Kn9ryFhC4wdJL2ravDveoE4hmJn0ojfYNq85UtUH3uoZoog60edB3tgrVWTYLciCCt+3aZ5J1lsED+P1XU12IpXVJ6iBS2XKTIVNY5LNAK5HX+iQV3GSlyQtO4Y3U7avvfm5Uw2dRjhoMMpNTXQfjkkuki8XoYfQv0sLSNY2ySgTF0kyUB185K8tOc9tjYdDv2OuoJV6PwjpmdwCYJWMYCHQzbilSfWg/brybwIGwVKb83HTCt0EB9g4TOpbi0XCVrchLj27c063QQFpJ4GIoBZ33wvB3MDZGJFjEQ65maQePoiRgSC3VZgmrmSXzQjI6zzP5US9ZqyTMrJNDR5sIH/yq3vDetMOjJC8pZ5ASGk164X3TAlTEGTrTC9FwHjrzaVP54ySEHmp5sgslA3/8PRphp3fZKRrAroYNlVye6Po8g8rkXeg0rU2P5ljAiZ8Lo8jphkR9DmBQPVII96ZC6Gpe2izBldY4AOna2wnlI3hzogPVJF977bSusExj7nZOI3n0SF07NxLRkPkQvpSHUWsZRWAlcY5bJ/1KJOqlgRpmzik2cbme9Fqp0HMF9YxMIhB1G1JCATZyLiAJUWLmhQEVLlq+6zgZnyZafzEYT9Evo/3cBmH9qFoWFuDxmhPUV6ZDbBvH5HxNMq7Vgcm8omRK3R54PyrBxObR0R+LH5O0x6GB+3gk3m1JKFJYC9E+RB0PbJiXhdT6KwasqVD8wu8nZwRfdCPanRSPJ/loZKfjfRtBNXuf4xBDJzzijz0a+ldfH4EPHm2F5fTJIs6E4frYcQx/ZYKB2/uUVVp7ChcNGGJ7zY+h+8ggOdU1+HsC7F4lJIdeuFlOyo0xNnScQPZuX3DQQRaSkezIZqF0/qvC8XJUe1h3kre+wQl+ysi6Oqe5eqFOX0cM8f0XK7HPj4L00CNyjw4ainw0gQQ4AFi4S5cVMU5Zie+mll3DmzBlxYevTRoMT7c/pyVZLIfpOK9rOyuUjCLDVsyaTRPzUEcS+p1VqMFvWizvzGMY3JyJ0ZLmWH3GDlCL7r64kYT0eGrR4g4j8QQpXRo6355zLvEOyiEfCmeEgOl/ID64WR1jTgvYAWdHyOaJ/CCN02A2LeB5BDr2G0fmUeDihh+c4K4vAN+Lx2OE7Q2WhdpjgRBd9TynjgzU/tcD2tA32eqbI0liss4nb5nppfwbrMtqfGkRMKcTDPOBPvdiyrII6hkkUlp0+L5z/WAl1jQXudzx0TflIHUR9N3mKcsnsEEHbm58hTg1Cdd9a7Nxd3r2behKIfTt54axvc4iJGhig33dIIZX7Wx/1P/KwVFqYt7tLVy4KWO+RnkxPi2OKpTDX6rx0hG1tcG9rFD3UDMJGD4JHO9GyiQzETS3ofLd9Sh5irqsi1ZFMKGd4TqjPjUN8iCSzGppH5O1C3GR/KiFsFrdmlJIVG1NkGzduxMKFC8WFrU+LclsgoHO3GVpVGvETLuUwTL0d+mr6n7yA0MkoAn9kx2iw/NECzSTRCi8La5QbkjxIiopZr/c0oj3chfYd5rEWmIy6ljw5LSnibrIO2cD3PQbYd4+ODNXUrcLi5DfoPhlC6FwcKbVsNeUphoIwZb/bCkN1BVLfReh3RxC7WgHNChNaD7DxxwROXWT1oMa9D8pNtd4iDdaTnSzo5LJNNahmocR4j5hSXip9b7aK3mqUWWE3YgjK3mvr27n3p7pSDVy/npfBxxDQ8hsr7jhuRVOLC65fkCdGwlK/pBdtn6iw/D763J2LcgRBhv4hqtAlGhSYQEqGFDYLpZ0pfQm/a5c/WyJsotfDfaTWVdCuo3s3R2YynwxrdFJvSP0Qy/VqskhcZIKMqNJhjVgyGVK49oO8Wgq3ZJ2Th/vYInz5etbwSZUdbc11SJ1sg1Wvh9kZQlxdizWb5P0ThuQZ6bV0ioVt85l4nyvKhwkMkZypHMfa7//3ki2YKadkxbZu3dgJ7ZTKJs3dq7CKhf9S3+D4+8oxcPNmaaqh5J9ISdD/KFmU7LZqHjAXTDIIvuhFhOm2skKSQTiec8Hfk0BarYVhkxP+SBDtWxXUWyoKj8mK1pebYT4kDXyrqutgkfbCt9MC05PNcOyhBtbShEAf8wUFaFdL+8dDzEQkwzpx2gHT061w7WmF1eQRf5Oq2ogtZBVFfycJJ021QawfYU01/U8iScdo7jeK1rb+ATbbRRr9/8rsuzY0USdTfFBWEakT4X8MoUcqUGb4mkJygBmrFvSi66AsPjcJYodKxI4jejKAz85FETrYUfi5ogV30HUXwwvbTw0wPFz6YnxWzkAsAzbRq7eH7i4ZYCY2k7lcfqtyKibdj2IesXA/Wfds5Up/8fs+Tdxydb55DZanyNvMSp4y7zBBc9YF6yvSmHTilAu9rOqnKEFneFhJiUyyz41DxZ2T8d+nl7k3xpaI4LNLclxd9ETyMaNRx6RrEhe6ZZ+DvKALTLMVTTIIknchhySfLiMkORBCh90Mi70Dwa9JwakEGLZ5x2RqMQ9oZOhWtGgIarQVYgH9nNU2dB7uQihM3kIkCluNlPhSWhKKBXXV7PgEejuzlX0QPXHWoMl6up/+nQ8jzupB0IoK1aIjk2ogiiA75i4BTIeu0dJ1k8cVzQymlwNZ7CyrLTXYWzyrTRFSPE86RrxEScGmMNjHvimCjpZmuD5SCIVlmKVY/VgS8P/aJ3muS+5F3aQt7tkl6vQgyPpblQFOJYNtBRmCDdSO2Fj3b0bv38xya9U5G/Mavpj9iEQLLNo4fGzWkxH0WFyRwvVL8ua0MMk+Nw5qNQubzU1KVmwnT44dmVQqmzzXpOdYqBGz51jc3rzQ4VaznLWlgWG3PNYUdcMglqlQ84+OgpYnyzQTQ5JLWEiyUFBRGfacTNuzpOAOsbAIKcfH7YXPk8/mTnh30HX/bQUuk/L57EMP/H1KFtZkCUmKjixb3VN2rPpbum6yzrzfkcW2QItV2+y4l4Um/+0bavITYN1S0eIb+n6iNl4GAWvuZwq2H30fykXjkRpCv7yqDBusN0kJLqUuDeW1gREG4khcTSF+wo3Wj+Sy2aDBAkupoeyCkGfxpA2e311A5SYfwp924aG7WLkay58MIXzIiqX9QXi2NimMdRMsqUiuR13dBCdtLoW5Uuf0C8d7x13lnSoM35S9JELYoYf6YijnkQ3hqWdQ99deBGSvLnui5pxJm0dg7btRSjip0kNfdpbq+H1u/GvIZejKVD3fOPWUrNj279+PY8eO4caNG+LC1lnZtDDgR/O+oDhorK6zoz1r0Ni+WidmVqWTcur9yJIkhUMsq4OtiDc2GpI0YtVCubAQuzrh227K6ayJxDVpvOFHFch7LLkg1oblJCaA+BdmNL/sQht5jmp1Sa6aTAAxMVNNQO3WbB/WgNqfsO9JIvGVVOL/ul9UvPeaDKhemET8LFlnxy4gzsbZmOCh3xyPTaxBmnQCfUsKLNO/EMkU3YUl1Pnl7RGqrPAEqHO/xgJJFixn9+jK5ZHOLmz3I9ihLDDUFeT33mRpQMXQoqbeAEM5S+1EHntmz1a68NCQD62zki6uh/UlDzqPhhB5zY7G++TiSRFD4JVmNP3UAONjLkSZ10/3uf+4DUaDEeZn2xAYk52pg60jiODLZhg2uhE8HoJvx5qC43STY7brnCjjHXexZAra+vaRpC7rg5UY/GrU12VJJN7nluPCMaprVrDeA88LFtj/qx9dR6QJsNdu9yHUIQVdhTUO+D9txzMNa2Fnde5z45lacRcRY0PaUP9YwXsqp8+Ncw051C+WIlFicsjcpKxQJFNkDz/8sLhMm1LLwAaN32FjVSpo17ul0F+VA4aVTK0lEX1bTr0fWVwIi5l4WuiLPdNGt1UKSaqgGi++vaASNZup01JjZg+8dlEjiewykK+YRrwnWHI4bkiez0+72g/PXjfaj/qxtrgxNIaOo91IUkMS1nkQOtwO9952+EMeNJJ1nf72M3gy8xEejCJ2g/zZZWxGCzkFeOAU+r9nY5A1dO1x9L6fET+lZ0UydHeTW0yWaKyIxRwnqxrqxTnGgMjTG9BYrUElfYfwgh5aqvvUUL8kCKkDOteoETum9ByOAGEJ3fMrJHzlEmUi8L3igouNYZa6vK10vuKwZyttlV/CbfdPkxAfj0HE/jWMI3u/xOBUP0AtMhpJ+MuNwr/QfKADdm0MnqcdcLUcx+AiDYbip+S9ykj9QA6bl8Hs1zlRxjvuogcDiKoMcJDx4e9wwnDfMK4nTdJMM4dDCOyoQ+oTF5plz8m+oRIXdsWQJgMufb4V1hYXHLFr1F+NsLMXsu42I328Fc17HLB9PQxBlUDfSB+MYpBd0pLKsdmNZfS5otcgHpHFskV0F0eN6UKIiWQkK9MshDzDzL0xtiwSH7TBxwaNqRr1z7Wj3WmAjnXmgSiOjJlYNgrvOcmVEOq2FE+jzYQkx6M7gkh/Cmm1AO19WmipkSAVR+RDd1mWY+iN99BN3wONDo3rTKhNh9DVO34HyeEENerXQ+S5DUOTeaeUehjxc344ns6eusqLb/5NWkv398kDw6S8Lsq/9/t+nJrQbAsW6FiIquh0SPRbey4jRQaBNj+v6PcxJNLk7VGH99G+8BdxVNRaRYMh+K4Fd5z0wKEU6qI7uZSqfaJe5lTCnq10PNCvMFlAEeheKYV0Rt+9poN+nJBPLglET5OBVfD5tgnC5opk2aJ/CMrPNlGf2x4Vs0eDB/L97xZYVmuQ+GNAqoeqalSqM2M3hQldvSb+r1hQ+u+dijovN8SmSDnvuGMRpxfIAB1QQbdaD4F+b6M804x+yWV07bHC+vrorwkf9MLXoKPjBnHhE6kn6+8kn6hChWXb10L31xgpS6lcfGQiy+tiBGJxUbGNCayX0eeKXYOUDTCKfuXScZ6bY7AxRPb/mjSzzgzDJ0HmlEYVea4fm1Bx1gXTi8VSCGzwnbFDc64Z5pfzBAFTyFpSUuxRBaVtJbb6ENmmQfgX5tFZOWaBib1tQIDd54ehzzg6EewKG9r3m1H5x14MaWuhVVdi+JwBrt+baF0+pgDDV3qzHjxm3rYRQ28YRyz/GYNNf7f9XvTuMaGVCS32ep2fpeF72FZ87Fb8nB4YMzG0MlNS5+s98FsWQfW/Lgf+bQjpIRL2lXrUDvlhej2GxhrNSIKXMqmc9lnuGxPESZ/vDMF1KIxkX+HXMOlfDaLz72IjEzU7A0GYF4Rw7qYJq9N+6LewKaNNaA+5of0qr2/VU998y4ik0hsTyuhzha6h+Qk5ZCqih/vjThiTXhieLTaBF5uysAX6m1F4fto8TrRl6pnTHhtnthFgfYu8g7APLWLiSFYmakF8eO9cAsKDCl4zs3qzO1T+9hhISK0mO7QvNAXzTk4C9gzhM5X48pXyXqGj2+qERUce1sjs5ma0v2GH9o8eWF92ofX4INR3DaH/NLC8VmEMMH95gCTSXEAcW8lY4nSPaui68rwIReRsYXVlCdl0U1TnRUNsAnnLSvWcs9ShtsiYfXGkBK5kP2vnxd4tKCV2pH+4ICmQhlboq1KIHnPh/6W6Tl2Toy0NRmg1Cp7xeS9CfVBOnCu5zxW+hpyzNVhQKyQQOTzerJTMi6d/ycSMKzUG99g4RXCg6w8WaG/2IfInEgLqz9D6ZFtuQ1eErLXP7Vh8cuzrbMqiwYPgb6oR/WWBjLyZgM3c8K4VOGIrfc7GKhNafmVHU50A1XcZa5tgns1mNbrJ+3SQop7ce8Fm0WMTp+FyQ//vEcT/hryfZRqkuhU89DGwmXA60bgoWvw3T2Gds0zN1LJn4N9eifAT1I5IuYieSWMKhV+dU5iyPLZtPkS21iA+7qtb2GxANlT/OY4L5/txx4NkzJ32iK81krzWxej96hqq61ZBq4ope8b11B4OPITEb5Te/1cKha9hFMkbtgz7YB1vvJOuO/wC1f3pUtrF1MMVG6cI5LEd8MJWo0b6ag/8LzpKt57ZO9v21qJ3z0SVkgGejz2o/toxoReVTg0kwAMeGG9GEYmNMyaq0kCrrRRf4SMmu8hkv49KFIra3pEXiWa/f838vBt1Ypp9YYYHQmg7lKmL2VRsEuJbzocM2Hm49Oswd4TgXA1EMmHMMUxtnTMKhtj2x9C4TofiEeAh9B7qQEBu9+UoNum3DiM0XhhdDNEyxduKUzotrp3O86jkt1cv3ewVzy2+eFbelc3EQrcy410DIZCi9j/+F/hK+H7xHXgNxe7z9MIVG2faYGnN7Y8Pw7vFhW65rFSsHV0wDnTAljXIPtPU7PLjnf80ifDfzRi6jLYRr8DyVhiOu2WhyF7a6Ldh0X8zk+JOiMkkt8wYWzbMC91EwrRU72d9O0K7DRguYMlPdZ0z44wpsrVX5TEhFgV4rQ6Db1K9nSWFMa1jbDroVsQQGyfRR1QCKy+MGDzKSONry/9UfIzb8IIPLSvIYLKX96TquNfwgAO+XQLCL7aWoDRlz1wVQRt9X/m5x5OHKzYOZ6YQvVg9hs7GsbiuFrq7UiNhydIxwfmuDbV3V0J7D3nSyTgGr/Yj9CQJHvmImcL+VhCNldLThYsX9KPdUsrMJNKbwQ038pMSpotSQmwlwN5x92g1FldpoVmQQqJ/CMk+3zivAxof82td4nO3w+pKVP4QhNGmYB484ob/RR1UN2h94WJcP22i65d2TQUlXUM5iMksJlSca4OpZTbUGldsHM4Mo4Ph0cUYWr0T/gmPr93a6Hd3oXN9xfghuqmghBAbZ2qRxjCHEWxpypkvcybhWZEczowSQ+R0FCY2j+f3sdtOqTGi+44jmhJg3Dr970UX31WWTKBngD3/x5Xa9GODfbWA1FfHZ02pMbhi43BmFDs6P+6CYUEccdVadL1a9tuw5gF+tH3E8tPN0/oaGhZiswvXEL9ZC4evRS7lTCeGV82o+VEMwV/PrsnGQ5EcDmcWYKnjAVgrumDZkj1zDueWRXzkYC2uH7bAlnlVzizBPTYOhzMLJODd48U3dzXlTHLOuVUxwLljLSp7vXDOslJjcMXG4XBmB3FOxfcwtNo15v2GnFuJzNsX3oN9NieqzoIrNg6HM3t860Pzs++hr2KOTBfGmQBaqL5+Dza7b84k5/AxNg6Hw+HMK7jHxuFwOJx5BVdsHA6Hw5lXcMXG4XA4nHkFV2wcDofDmVdwxcbhcDiceQVXbBwOh8OZV3DFxuFwOJx5BVdsHA6Hw5lXcMXG4XA4nHkFV2wcDofDmVdwxcbhcDiceQVXbJzbDB0Mj+rB55Ln3JZU6dHYoJM3SqDc4zNM9HNTBFdsnNsIAxxHOtCyWsVfbMm5PRlQwfC8F12lvAOvyor2t52wVKfkgjIo5zzTAJ/dn3PbYH0rDPuPg1lvbHbAd8aCmoXihsTNJKLvmND8r050vWOGViWXM9IJdL9ihuMk0NgWhGdNlt+XjMBjakVA3rydcPgisNRkVxRVx3kvTL+Iwnn0HZjvy9p3M41Etxvml0PAI24Ef2OCsCCzL4nIGya0fiRv3078zIPgzkYIOe0tjuBzTWj7+06EntVDk70v1Qe/0YYOWrVT/duy6/+7APRbPPKGAlV2+P7Fgr+8b0XzB4VMPD3du3Y8lPDA9GJQLiuTks4zPXDFxrk9WN+O0C4toi1muM7LZTJWbxgtdWokz7XB1JLbiTP7EifNMO/J65wb2xH+PyoR+rUDnlO3uQ+4uRPh7XqoScG3kYLPqcWnaN8LtG8gBPMTrjxv2YL2z1tRedoNx/7Qbe9JOwNRmKuB2Ed6WF+XC0UEuD8OwlSVQvRNIykKuVhGeKkLgcYhvLe9Gb5v5cIiCDv8CK67hg5jM/xyWTbCdj8CP0vjvYdt8MllE2G880wXcycUyTpGNIooW0LtMMvFuZjRHpKPiXbBKZdid5dYFvZa5YJcWGORPjO6hD/1w72pWAzYis7w2M9FzoTR5SX3fIV82Bwk83u7dssFSmTqOzBSi3JZGJ2b5e08lOox5/MZ5O8uev5M/Sp9fsoR4HjSAM2lCLx5So0RuyqFWlQqtfhfEdVSeSWDAPu65Uj8jis1kUvXIdaiSoWCtfijCoypxW1rsfxKF1dqMslUWvyvyo4i5FCBO8bsM6C1fjGib5em1BiJ18PoW6CHpU0vl2RjhmONDqmvg5NSaozi55k+5uYYm0YP81Z5PZutZug18voESA3EEb9Ey/cpqO/SwbSjA+3r5Z0FSSPJPsOW/iSGf6SGto5u/PuhOf06+1QqBW1NYaVhbVheWAAVoz8IvV4vL0HEq815yokU1lZqxD0daNonFyniR7NR+nxxBTgFVNlQt4wUWI9HUXhG/zwsr+XR4IblQamW1EvyjKD1DpjUUXjf4OJY5Pw1KNeiAe7HyVtjq4sWIbcWqR89tgjRdzKhYU5qWKrFigW5skV4yglDFVtTYdHdYtEIwnY7an/ww3NCLigJH6KX0hBqLRijcjavQa0miQunJhiCzKHIeaaRuafYSCCn6ObpVtvlglFaGmtoD+2fwFgmfTEuHGtC05O0bDCi9TTrShroHx97nlwG8SX7DFssJhgNVni+SCC9gD67tQ12sbHNPZggSVUbC3hfTmyoAynqCVVkFm1oOhEHqmtHvefNq7FcHUfYXkrgoQ3He0gBP9JJ6nAa2bgcWhKd8WPydj6ylayurBb/SwhoeU6P5J+URK4ezi1axA+7EJFLJopQZ4VjrxvuvU7Y15ebRSZA/6gJpnX5iyFPgZTHxK4phfRN+qeuRE4tktDVX+1TVFz63VugvXgErrNywYTRwfy8k66XrnmHFfoy+6SuQakOG8v+nlwmdk1Df5bb4l1G8b8EGQBPLkX/t0r91Qrno8Bnv/aXbRx4Lw0C9+iwIe/aTHX3Qp26jJ6TckE+VXpYd2T/Lvm37rAotrtC55lOylJsL730Es6cOSMubH1aSPaiN0l2yUoDHNkVUeWA/j76/10vLkglkyLSNyiGTlTqcl3AGAI77Qh+R6sLa2DYKJUydJvc6Po8MhKmCx/vREuDvJNRZUKLN4jwH+QwXiSMrr0WEk8SbDyHlXftNcFxWFpnSyTne5zoYt9dIOw6QjKMcL8ayxsUjttdC23qAnqH5O3JcHGI6rESgqxARU+wv5dUFkO61lyPLvf6/WcvIKVejtUFwp9TgXUZ1XBqELEBuSCfH66JbSGHzU6sXfAlvP2SBZ2t9IRtdjx0I1SmhZyPAOuBIPyvbpDvf6WYRRby2kpQSgIse7uoHQXR+SpTQGOXlk3yoWUxmWtK4toNeXUEJnRV+PLgZcmby1Z6VXbY668j9MYkvYIGB/yfe2F7YLG4WXHfBuz/ly64sxN7CmB4oRPBM1H4DyjVoQc7n5YPLJdJXFPo6jV5bRRmACyPBxD+D2m78p7RPm141YKlvV50FGrbxYizvquG5hF5W6auimRiMqE8JtZA/dfnhJEOqai1odPnQ+fRDmxZVoGljQ74DrfIB2ZR4DzTScmKjSmyjRs3YuHCheLC1qdHuQ3hSA/ZHgt0MGwbdV7128gKXZBGX3ePXDJJ1Heggv1PT8RroZt+UbKPhGVSIxOe6oR3hwnaBYOInAwhdI48mXvIstmd8UYMcB5wwVpXiVRfN0Inu9F3tQLada1o35XrpC99xAHTogvoPhlBLJmGin3PrkLjjoVp+yRKrXTDqDclYkXnI+RtfNGMfrlkUtxfSU12CIkP2YYVq3VqxPsktSZ6dG9EczxHZ8AMbX8QxoxH92GCPq1G5f3SpiLZ469jlsJjghmqK8l/vX6dTJJxWEIKQ1wxwLNxKXrfbkNUVNzZkLDesIiEtXeshbzCANsOB2ylPCdH3r7t/hg8tia07nHBtacVVpMdn/1NE9x57SEXUj5ePxzrKjF01gcPfdbLIgi0J3mug76Hvuvll9AmZxYKdWbYd5Hn9bPpvKZsyMiRlaokdDvQdr4fQ3ndzPqSGYvOe+HNF8hiHbrh+OdSvE493NtNwAk7zM86xN/usDfBur8ftdudcr9TxrC7C56nVqHiuyC89DnPR33ifU7TtliH9Ntdr0jHZhA2WkrogxO/pmzUP5ZNANkACO73w/99niVa70RL7SACLxeIGzRYYKmX15XI9D2tvC1ihUBKK50i72IMZrT/Uo/+fWbYXqbfFSKjdEkNVqW60NSvRc1d5CjcqR7bzhTPM72UrNjWrVsnr42iVDYVRA+SQL/JOuUWuSGZsaWOqisZRfCQWDApdOvJstjIwpppxHomlqCduJk9oqCHnY0j3CRv7r/IQqGlCYE+EjdLVsG4jQ7Z+nOsrVaR8PHIDZ4E4L4ICUcVtPW58WfVv4VgfaIZDlGweBBhbUyzHI1idZOy0OtHFUMxPjyHCyktarPHsFioEFEcLzr+VSJM4azXItVzXPbQqlGpTmHoorgh8WGz6DnqHyf1SsLEXB1H0JJRfAxJ6GVboWOg7zCOjOvlL0Y0i0p1HIav0a8ugNjxiAVsaJ7anThmEYAjO0QmKz0mrO+NHSFhLRVnEJ73IbjHjIqBIQjP7EcwRAZNkdCLfbWA/k8dCOUI9hg6jl7A4r/PeExjEbZ7YK+rQOxDK5p2ehEgI8q3M4BvqA41d1eTwURG1emoqHSZ8PbtYCnki2F4jryTabomCT8SGVnI0verWmAfI3RlpdfggUV7AUf25d4RZhwG9/8cy8kOqd7ggT/SBWd2xCMf6je1P+pBx5u5JkvilAPh5L1Y/ZRckM/6drhYuz3rgenZNviozgKv26idUt+7S4Ca1SEzKsWDyTDY2w7f8TCCL1lQI5YVYaLXlCFjSMmPQJhJSeYbAJLSE2Df9hDSp9vyPCsygl/ykBcVQuQ1OxpZlGscKu4ca7QMD+dZIoxH6iD8EB7tF1pm1DIZ6gOOBRHqicB/yFcwJKp0nulibiaPDHgQZkohk0QiJ40keo7kphGXBQnX7ZKV799NDXQJ6UlqMI4JDv7r7xT9PaT/zETiGuiYwCAv0/LxqDchPVsiDfZaHqimNfpJq50j+6NvkdChsvxB9XgsO8khiJ44a2QaCA9KJaXjR/MX8ZwxLCcpYMTOKYcZSoEli2Suf7seQyfGV7JtFjnJhIRJ/ESTrAQzZAnE2WbBHVCThdy2RhqzELmaFr0hUenJwtqv8FyP7ZEaCPdUYvgjH9o+JUuW2u6GIqEszUIV/qIgO3ByCNcWqlErb+ZiErPVVGTgBXLarRp3MEEoC0MJG37+SCWuXewRjSjrnm4k6JqszJsowMSuKZ8K3KEmobt3LTAidIeQloaO6BrZ2GUtBo/kPRIgGofkQQ1+gwAZhs1P+NH3Vy3MzymEtjJUL4K6gMGSvAYsrpQ38mhhGbJkhIZzwqB6LGZdmt1nqUDmAnrPk1cXoHsqlxRlgtc0horF0JMBYNPFRw0AeSxYvM8seWnhl+gYI78GEfvXMI7s/RKDOe2hMGp19qhoEb5wocnGnpyTsN/HclwHcZmNxQ0E4LK3oqNIhnDJ55kCSlZsJ0+OHUlUKpsqfMejSJIq0K1ugYMljVBDjBwsaHOXhJQV2YfIySB8+6ww/aL8AVcJAyx/x1RSEhe6Q1IRgz00KYYxcpcOcgor5EaWOD12v+vX7yMs7VZEs5ilgqRxfSJjYvuOUyfLjGE5UUseU2mJHQXIyYrUj5P5mGFsKKosJhmKHJ8krrPxoYVkYMgW8siYBRPq8qruV9nCOpfuU92IfPEZxNYghrnpfv0g7lLk1MUU7q0fG9gSdixH5UCv9D1jIIuZDLxUvCdXKazTQVhIv2IgN0z/F1J4S39CH2Cc78Ug3QONUCdtKzCxaxpFSlUnQ25lfsZoaPT+65xYi8/Qpuhlq6D5yVIy4RheXL5C/+4iY1HcVuCjHvQvWZ47Fi9iRp12GPFz8mYOVujuoX+JOPw5nulqCHfRv+9jefeX5M7JbkRZYkwpTOiassg8NkHG7hZmABz1jN7rzFjwgsVws+SlI20KCjSB6Gny1kpM+2cMXZlI1MqKmmoy1b/vx6mceizMxM4zMUpWbPv378exY8dw48YNcWHrrGzaOHEEUaow1commJeRWO8Lw1NiBSqTyYq0oXVPG7wnxh1xUYYlgPjcaKTOkb70JY6ICQQ9ktdBFolOQwJADGWMLqyR+b+TOrmgMyCVtz8TOsqwtNo+GvYhD2LV37KVIQx+LZaUCfPahsRQoNVrROVI2HDmsHpt0CdJIZ4g73F91vOHIlJMvyiTDEWKAndk/EyJFP4iCi4t9PeThbxHYcxCrYfp7t6C6f2RQw60Hk2gdp0dnRtrkCLl6CwSNo8eDOCyzg4fKdLMvdZt8sC7ToXw4eJPDw19nyt6zWuWkwcSx5cfZaseH5qNehieli3s+losJfsocfGUtK3AZK6JkUlV19YVyhhVQ79mKXoV0/ujcD1B9/Mxh6xA7biXFE26v6fIbC4+vHdWBVOHZ/S5UrF/2sVkC6VnFjOkfojlXIOwQw/dghSin456JBNj4tckknlsYqGePGQyAJRm7KhqhGHSyUtE/WLJO81R2jE2HD06xpdNgwO+T0PUPvRkTNXhXmpPqcHeEeVqZolHSmkXiueZXsoKRTJF9vDDD4vLtCo1EbL4zpHyWaAiOy6N2PnxO5b6fgu6jnaNLu86UTjwUipL8VDm+wIhhANuWGvUSF+JwLszYzGFcORsnK6SOu7zfnR5PWJmVfu7QYSPyGL8jRCiV+k/NXJPyI92lnn1aie6Pg2iPc/jUNVY4TvcLu3/F5s45VO6LyR3ihKzIrPZ14t4tRE23dDkvLVxYZ5ZXiLI7i60kJMQ/YTUKfMeU1qYc7Ik2bjcWGE9lcTZA9jqxaPGwhhIlIidjtrZp1kWskjG2yShd8xRPL3//loY6rV0aBLX/lzkQWXGABkc29/DYL0DgTMRRGjxblmE8P5WtBVMf+8TDajFmlGvio1LtdSrET/JkjTkwjGw8RgDeV0klJxFoh4TuqZRhmXBlY6NFbr9ssuW+ipv7LIAhldNqEn3iWM2xYjsa4Xn7CJY35auN+J3wDDwHlqonSubIGH0f8+agzDaHhqcaH9chyTJGGVPsjzKvyYFFiTQk28AZMaCyYgJKyUvlcuyRdRGk0h8JW+LREXPHksqx8hOyya6J3dpIJAlamgkY4rKRvot1eGWlUlElOpP8TzTy9wcY5MRn1pnIaJSk0bIKtfep81aBJQa0i6MCprM91WRqErGEf2dB7bHWnNCGdFXWuE+1ofkDfYAd6P4LIxhpRpD8UzuIQmNF7zoZs+OLdHBwJ6VaVxF15dE/JJ8iEz8iy5cXkIewqN6aBemkejxw71nMg2ZPS9GnTmZScMvxuhY5MhS8uwg0njZyIPhI8kl5D2IDZ7q4BDLkjSPKubN7B7lJZxMMaGey0gtqIS2YK5TAAlmdPR/Bu9B5VpO9wXGF3onvGDjWc37e1HxiB0dB8bJofs2ANeTRhgeNoiLcUNz0TEKNt7qORLB8AMtCMqGlv/pSvQcsqFpX2GVa9jdDsuSCNpbXHlKW4Gyr2mUwBUSuyR0PyskdG/0IZAZuywCU9auB5Pw77ON7+HQmUJvNMNslK7X8LARTXsCcuKHEgl43qH995jhCzCDlYzPvQ/h+nEXbBMemsin3GvKRjKkUj2FDYBEdzEjpnT0K5cqPq8WiMVFxZaflRrp60fqBhltVXa4dBeoXyWhfSQoGv2hXbXoP+Qcm+VKFDrPdMLnipxDZOYljJ8odexqDsKmN1tPIlifnySijPibqZNM71xyNvjO2KE5R8LmZWWPhT1gqultg09BmJifd0Dd44G/oDCxwn10A5b2dMD2OlMwzKuWHmvQ52SAThXMMNKSsIgjdLa4uDS84ENLzTfoeLaDvE0b3HtTpHynaaxjvR3Ou8l4OqSgZGmfY0kPPB8U8RgJYaMH7RtJuO4kr3HABOdeHYJ7OshXnWrYw+215HUk0Zs3FKAIM9K2VyJcYrueOCyrcTWGP+yg3y8XjcD21SG13zu+gSK2QSOG3igUqtfD/XEnjEkvDM/mecX1bgTfMiJ5yADbQblMRiCjvXbJ9ZE6y98eS5HzTCNz2mPj3ILI4UZjSaFSNgMKKfIvpnuCVB/eO5eA8GDm8ZGxBN9WVmqM4NvFlBqjGjry6HW1cmJGVYU4ppC+OjX2/1hYQkNoXKXGPB9H3WUEPolBvc4GxwETdGopJDgtkMeqqNQYtG88pcbCWZ5NKoSOhpGqscC+qwl6LQvATgdSkkX++PbsE4V/v5JSY7B9pSi1EmiwoFZIIKI0dnreixBVes0/OsaE7xM93Tl1lr89hmLnmUa4YuNMMVK4EXUtJUyCLHk1M+GdRl4OIMomY91eeKRt4vhw/HwCKWjh3OGA5zUDhGQU3n0z25lzaYHnOT2EFWZ5eiw7LA2kJZLj5TbOFiZ4fmmGrtpACo1drwO2n9VAfW221Y4NHhb2fXoV1HR/jcdpfUrG7qcL8nLfpWs8bqSrVWPV0yzc6qFfkY0A+zN1UH8VQLuiMZeA9+Bn4ri8Y9y5dIsx3nmmDx6KnEPMi1DkXIZNB7S3Fr17mkpKhigXNuegob4W+HocK5bDmUWEbT74H/8LfM825z3ykAvz+H1byFQd57hClHqe6YArNs5thTiG8/gwvFtc6JbLOJzbhgcc8O0SEH4xN/mtEOIY7YoomuxeuaREyjzPVMMVG4fD4XDmFXyMjcPhcDjzCq7YOBwOhzOv4IqNw+FwOPMKrtg4HA6HM6/gio3D4XA48wqu2DgcDoczr+CKjcPhcDjzCq7YOBwOhzOv4IqNw+FwOPMKrtg4HA6HM6/gio3D4XA48wqu2DgcDoczr+CKjcPhcDjzCq7YOBwOhzOv4IqNw+FwOPMKrtg4tyVCXSMMK+QNzpxE19AIfZW8UQLlHp9hop/jzF24YuPcdghPtcO72wLtdbmAMydJVVvgfrcT1hKUjmGHHx3PG6CawNuayzkP59aAv0Gbc3tR70TXgYeQ+I0JrSfkshEc8J8xQ1uhgmqBXMRIp5G+FIThaY9cMFvcftdneDUIz/1ROCxtiMhlY9jcifDzixF80oqOCSg2Rknn4dwycMXGuY0Q0HIkgKYb78HwrE8uU8bqDaOlTo34CT2a9smFc4jb5/rMaA85IZxrpu+JymXZSPu1Pc0wO5X2l8p45+HcSsydUCSzuqJRRANOuYAhiB0kSuURKjfIpRls70bEfdE/+OFQCCM4A7SP7Q8rhRms6Ayz/V3IPmMumWNyl8iZMLq8Tljm8BiN+Ntz6pLY3SX9hvxyQqqrAnWRuTesHuWibMR7pLBP/M4CnxlB/u6u3fL2dLLegbXLUogeL67UsqlYIMhrc5P5f31BHOlJQPtPdtjkkmyEHRYYlsQQOThZZVT8PJxbizk9xmbY3Q47WX24GoX3xfwQgQ0PLVNJqwt0MGzTS+tKqPWw/cpKanKipJG8FEecLf1JDP9IDW2dGY73Q+h8am4LlhGYAlmvRaqnA3pLm1woQ/uM1SmkUlrUFlMwrB69RdXUKKREzdVxBI3N8MtFinzYDOOJOLTrixkYU4N1XS00yQsIjQlBMgSYtnng/zSMSDgEy/3U7ojKeh/CZMiEDntgXzOb9/r2vb7oiRgSC3V4aJtcMIIAW70OuBSFZ4IhyGwKn4dzqzFnFZvwVCfcJIhVaRKO+0g45jVcYYcRNQuBxLkIEmx75QYoq7Y00jdIJtfZ4JywEhrEl082oYktFhOMBis8XySQXqCBfmsb7HN+0NmJru1UO6TUjPaxasbasBzq/jB8sRS0jxTysMjT6YmL9di5WS4qgrOGKdHjyFOhyuw7jigpVWOpSnNCmFCnVSMV70FILhlFgPUtH9xbDVD1eGAxmhC4mBL3DJ6j+231IHqnAba9vqkxZFaYYd/lhnuvG46n9HT28bjNr+98FINXVah+IL99WLCc+l7iYkDeHotuvR3OvU7Y15MCJIQ6KxxsW0nJFjwP51ajLMX20ksv4cyZM+LC1qeNBifan9ODxBCi77Si7axcPoJsqSGJ+KkjiH1Pq1V6bFkv7sxjGN+ciNCRauifcU5R5lMMgZ12BL+j1YU1MGyUShm6TW50fS6HSGkJH+9ES4O8k1FlQos3iPAfpP3RSBhdey0jwiMTeu3aa4LjsLTOlkj295QVvmPhVDO0/UFFpcb2r9apEe9rg98eRly9HKsLKa6zTQj2Uz1uHSe8SIq0ljzAC2el80m/KZyjEKWyjJfmxzlSqmrd6nG+dzLUQdAAQ98r1AEzTuppZ+obHN8TEg2lHAZCcH3yDVKyITOZUBXL3gu/bYN+EduqQPWG/fAfdcNUrF3e9tcXQOIqGad363KV7GbaXpDCYGzMGQmmbEPwbtHRryBv8pc+dHl98O42olJdC0ubD5518qEjFDgP55ajZMXGFNnGjRuxcOFCcWHr06LcFgjo3E2CWJVG/IQLzR8oNNp6O/TV9J+FlU5GEfgjO0aD5Y+axd1jSLTCezY5BSHJbBLwX5SuTVgmiWPmZXp3mKBdMIjIyRBC5+LAPXpYd2cUgQHOAy5Y6yqR6uuma+9G39UKaNe1on1Xrr+59BEHTIsuoPtkBLFkGir2PbvaUeAXFoDqMtwCfTI4NvyYYTd5uuo4esUB/jb0MsX1eOGgYJslSMpvnJDk7lpoUxdw7kNp0283Sgox872kmG11QPSNphGPzv/9EN2fSrDbWoiRMVOlRWHcMIfNAirJe7/+g7ydhfXvqyEGta8mERZLFPgwAbpCMmSqUZet+MmgMj/vgH2TAZJPUIR68oBImAafN8P2sguuPQ40W8j7H6hF60uF63NS17eCPKUddN5/nqPXJyLAsrF4y+4fIg9wiQZGeVvk/krR+L1+Sd7OQtjugXVhENYnW+l3NCOaUEFbp0HvK11QrdTS51RYtEQ+OAvF83BuOUpWbOvWjTFvFMsmzd2rsIo1OGb9va+ceGveLIVHkn8i5UH/o2fj5JGRanuAOiQ7QIHgi15EmG6bVEgyl8TNYXmNoYf9cfIyb5I391+a0LqHBENLEwJ9aeooq2BkcfutP8faahWS5zwwP+sQBYdtHwulUqert+SEUlX/FoL1iWY49rTCavKI1w7NcjSyKmfjUvoSss2q9aS0yOv9pHBAkIUM0d87omDa+kgZV9cWGe9qQ9OJ4iFJ6z2VdHNI8cvbjLZPokhVG+kz5EFuZWFRH5plxSdycYhEVCWEAt/JaLPQ76HfrbgUUtw5DOMvUoQsB/+/9pPKI4oJNFExEukEYpnrXk/eeYcdNf9BdbbaAV+EPNBs7zwP/c9qgfMd6PhWLhBJILQzjKH7C3urE70+ZmgF9/8cy9V0Szd44J9j14f1drg7fAh+HoRjU41cWIQFd5BCymcY187Lq1mYV6rQe8wre48WCEymfB/D8fMhBMhYjJ70oiO7/WWjeB7OrcTcG2NLRPDZJeom5BXYD4zNhGRpuY06Df1P4kK3PFpC3tEFJviLDvwG0fq2HJJ8empCkvo7K8T/6T8zW3QNdOw7F+hg+XjUk7DVMFuWrMO7qXs9IFm2mtXOUU/jrUbJg1y0KMeijsc8cqdkBNETZxJZA+FBqaQk+oOSp7S9UGKGFDLMUXz7ehHHOEkk+0oNSWZBytjXQ3W2nTxIROHLD4tmLPrZ4JAT3vPM6lmFDXtNYz36KhPcj68SvYPoOw50yMXWdQZoqzSo+DYAb0sUgyotjJss8t6xVKvVGP6zUvZeEtewmO5uASZ0fczQWoWKwW8QICOr+Qk/+v6qhfm5FnGvEjN7fcTFXkROeEfG48Zl4aLC15CH99kmOE7KG/V6LCXFlhrspZYHRN5sRfOeAGLS3rGUcR7O3KRkxXbyZKaVjKJUNnmuoW2nF9GrpA6qzXB780KHW83Qi61OA8NuWTlE3TCIZSrU/KNjbMfKcEIOSS5hIclxAzPjYIDl79iZshQsI9UHP/PW8paOAEt9lg5JnB673/Xr9wuHcQjNYmZDpnG9TOnPvJxgPwk0hVR+q9dIKowpvkw9ssVMZSiSRCJRUkgyDzHcOAkmFYosCnmXv7DBdSiCdJ0DAfIgMll9S+uDCB91wXAzAp/TmhMaD/+3ECJfhBFiHkP9YjAzJ3W1X9ynRODrflTqFNrn+jrceyOOc/LmWCZ2faw/aH6yVBbSXly+Qv/uIsNL3B7LjF/ftxGETpeRpp8aQuHaLYywppp+Uxr9XyuNMSswwfNw5g4lK7b9+/fj2LFjuHHjhriwdVY2LQz40byPBCdz3OrsaN896rfZV+tEryedlNPvR5akFA5ZVgdbEW9sNCRpxKqFcmG5sAQQnxuN99B1XPoSR8T08R4k6HuhroZO04sQG2PLWiLfkmD/TurUgs6AVN5+1sGzRdLSavuogKmyY9XfspUhDH4tlpRFm6VDzDo05zxTJiWNiOn/+WG9E3H6HUWSSERGQ5KrS/K1nOhaX4noG3Qt5E2MUYiZUFURJhWKvHSd/AU1KpnWViSB0EEHrI8ZYfipnYwByYsY6nHAaDDA+KQD3lPZd4g+ccyD1jfPQbXOAvcOAyovBeEp9pDwofcQVpngfc0y4p0La1rge345Ln9Cxpxcpky51xeF6wmql8ccchaoHffeRe21vwcFcwhn9PrKQ11BZsNNFnjM4ofr1OcrIWySt0cQYH21C6HjHrG9W3Tspg/icsYOr2qB/7jyeLXieTi3HGWFIpkie/jhh8Vl2pRahrNtaH0nSsJIBe16t5QmXOWAYSVTa0lE35bT70cWF8LiIwFa6Is90zYSksyb9qcoS/HQ0S50sSUQQjjghrVGjfSVCLw72+QOH8KRs3HqaOQBPe9Hl9cjpku3v0sW6xHZm3gjJHqiTDF6Qn600373q53o+jSI9jwloqqxwne4Xdr/Lzbx0YZ0Xwhe5h2UlRXJIEPBKHlYLRnltnk1lqtHMxdzENPv1VjeMI43lglJ1uVqC9Ez05BwkbeZEpUyM8No/pCu5QuFMToxEWAIiULjHpPl/CBSJLAWa0xyQTESSP9VWhu+WTBgJSHooK+vhTrNngOku180xB1B24sehBdZ4T0TQYSWACnEwfdblJOkClLG9ckYXjWhJt0H/6FiD6fP3vUVR4CwhPr9lViuUh64Jhori8e4mDZseFQLDbVBDSkxPTMKmRcmygdql79aC/UfAyQJ8ilwHs4tx9wbY8si8UEbfD3M8iPh+Vw72p0G6JgyGojKXlI2UXjPSZ1IqNtSPHswE5IsGRU092mhZUuVmvRqHNHfeWB7rDXn+broK61wH+tD8gZ7gLsRpnUmUsQkruOZwAYJ9Re86GbW7BIdDLTf1LiKbM4keZzyITLxL7pweYkepkf10C5MI9Hjh3tPZjB8IpCH9QYZCky5RbtwjCW6ZGUu5iKn39dtKJJEIiGGJOX1EVgiSJbH5wyQcFHHEcx4VRmFmDX2JyacTGsIKIALdK80dxcLQbO5DkmgR6LidFAM7Xo20wyVHXaI22M474dnjwutW4JILLPA9ZuWUU9biYEQOuxmGB82wMCWnzbB9VGpwn8C10ewJBLXg0n499kkw6gYs3B942PGUg0bd85TNyd7cJm6UiUZirl0IzaQRiqpguHdtcAX3YhXrII1QIbpxz5YfvQZPC8rJaYVOA/nloPPFTnHYM93zeU5AEuDeWgtWB5TfiB8LOUePzH0bUF0NiThe5gEvFw2cchAeHcnDEPH0fqynwwO6TewxJiO8WZbmUGEjR60byS1vtOBwIAJzr06BPd0oE/ePxcQ23xluHA4easPkW0ahH9hhitPMbNp9ex3R9C8wZEXKmWGo5a0lDQMMHZbgSLn4dxazGmPjXOrkgk3ju/xicjP0oWnUakxogdDJNBrYNhR1KcqER10zIOvrUWtXCJyNVk4226maXDCs0mF0NEwUjUW2Hc1QU+yfS4ptfERxHF1ZMLwefgOR5C4p1ZhcoaY+CzpqBLL386n+Hk4txZcsXGmBzHcmJ+wogAbL1yvJQ919GHtaWPAC+//E4f2UUfxUHVJ+HGElHfyxiIYdzjgfNeKVRVxBN9wjZNkMVOY4PmlGbpqgzw9lgO2n9VAfW3iwewpZ6tHHLe21qqBKiOCtO7blRdWbGiFSTeIz94vEIY/S57oeRX0T44TAh6P8c7DuaXgocg5xvwIRc5lBKpjHylbP2zkIU5WiIlv4q7Xo3IogvBHkbnjrc0LDPB87EH11w7qC8XekmaAM+BGbZ9rnOMKUep5OLcKXLFxbkMMaHm3BbqeJjQflIs4cw5rRxeMAx2wvV6CsqmywPOaGcPvWOH6Qi4rkbLOw7kl4IqNw+FwOPMKPsbG4XA4nHkFV2wcDofDmVdwxcbhcDiceQVXbBwOh8OZV3DFxuFwOJx5BVdsHA6Hw5lXcMXG4XA4nHkFV2wcDofDmVdwxcbhcDiceQTw/wMOSFARKDWT/QAAAABJRU5ErkJggg=="},"cd64b317-6c43-47aa-87f5-05014c85d2be.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"\n\n<p align=\"center\">\n  <a href=\"url\"><img src=\"https://www.americanhumane.org/app/uploads/2016/08/shutterstock_162633491.jpg\" align=\"middle\" height=\"383\" width=\"640\" ></a>\n</p>","metadata":{}},{"cell_type":"code","source":"!nvidia-smi","metadata":{"execution":{"iopub.status.busy":"2024-06-10T12:07:31.237308Z","iopub.execute_input":"2024-06-10T12:07:31.237916Z","iopub.status.idle":"2024-06-10T12:07:32.292259Z","shell.execute_reply.started":"2024-06-10T12:07:31.237880Z","shell.execute_reply":"2024-06-10T12:07:32.291135Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Checking the Directory Cat and Dog","metadata":{}},{"cell_type":"code","source":"# 000-dataset-catdog-25000\n!ls '/kaggle/input/dog-vs-cat-classification'","metadata":{"execution":{"iopub.status.busy":"2024-06-10T12:07:32.294696Z","iopub.execute_input":"2024-06-10T12:07:32.295116Z","iopub.status.idle":"2024-06-10T12:07:33.284449Z","shell.execute_reply.started":"2024-06-10T12:07:32.295071Z","shell.execute_reply":"2024-06-10T12:07:33.283543Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Spliting data training and validation","metadata":{}},{"cell_type":"code","source":"import os\nimport shutil\nfrom sklearn.model_selection import train_test_split\n\n# Directory with our training cat pictures\ntrain_cat_dir = os.path.join('/kaggle/input/dog-vs-cat-classification/train/train/cats')\n# Directory with our training dog pictures\ntrain_dog_dir = os.path.join('/kaggle/input/dog-vs-cat-classification/train/train/dogs')\n\n# Create output directories for training and validation data\noutput_base_dir = './split_data'\ntrain_cat_output_dir = os.path.join(output_base_dir, 'train/cats')\ntrain_dog_output_dir = os.path.join(output_base_dir, 'train/dogs')\nvalidation_cat_output_dir = os.path.join(output_base_dir, 'validation/cats')\nvalidation_dog_output_dir = os.path.join(output_base_dir, 'validation/dogs')\n\nos.makedirs(train_cat_output_dir, exist_ok=True)\nos.makedirs(train_dog_output_dir, exist_ok=True)\nos.makedirs(validation_cat_output_dir, exist_ok=True)\nos.makedirs(validation_dog_output_dir, exist_ok=True)\n\n# List all cat and dog images\ncat_images = os.listdir(train_cat_dir)\ndog_images = os.listdir(train_dog_dir)\n\n# Split 2500 images for validation, remaining 10000 for training\ncat_train, cat_val = train_test_split(cat_images, test_size=2500, random_state=42)\ndog_train, dog_val = train_test_split(dog_images, test_size=2500, random_state=42)\n\n# Move cat images to the appropriate folders\nfor img in cat_train:\n    src = os.path.join(train_cat_dir, img)\n    dst = os.path.join(train_cat_output_dir, img)\n    shutil.copy(src, dst)\n\nfor img in cat_val:\n    src = os.path.join(train_cat_dir, img)\n    dst = os.path.join(validation_cat_output_dir, img)\n    shutil.copy(src, dst)\n\n# Move dog images to the appropriate folders\nfor img in dog_train:\n    src = os.path.join(train_dog_dir, img)\n    dst = os.path.join(train_dog_output_dir, img)\n    shutil.copy(src, dst)\n\nfor img in dog_val:\n    src = os.path.join(train_dog_dir, img)\n    dst = os.path.join(validation_dog_output_dir, img)\n    shutil.copy(src, dst)\n\n# Verify the split\nprint(f\"Total training cat images: {len(os.listdir(train_cat_output_dir))}\")\nprint(f\"Total training dog images: {len(os.listdir(train_dog_output_dir))}\")\nprint(f\"Total validation cat images: {len(os.listdir(validation_cat_output_dir))}\")\nprint(f\"Total validation dog images: {len(os.listdir(validation_dog_output_dir))}\")\n","metadata":{"execution":{"iopub.status.busy":"2024-06-10T12:07:33.286027Z","iopub.execute_input":"2024-06-10T12:07:33.286319Z","iopub.status.idle":"2024-06-10T12:07:59.546592Z","shell.execute_reply.started":"2024-06-10T12:07:33.286292Z","shell.execute_reply":"2024-06-10T12:07:59.545611Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"!ls './split_data'","metadata":{"execution":{"iopub.status.busy":"2024-06-10T12:07:59.549833Z","iopub.execute_input":"2024-06-10T12:07:59.550194Z","iopub.status.idle":"2024-06-10T12:08:00.501220Z","shell.execute_reply.started":"2024-06-10T12:07:59.550170Z","shell.execute_reply":"2024-06-10T12:08:00.500245Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_cat_names = os.listdir(train_cat_output_dir)\nprint(train_cat_names[:10])\n\ntrain_dog_names = os.listdir(train_dog_output_dir)\nprint(train_dog_names[:10])\n\nvalidation_cat_names = os.listdir(validation_cat_output_dir)\nprint(validation_cat_names[:10])\n\nvalidation_dog_names = os.listdir(validation_dog_output_dir)\nprint(validation_dog_names[:10])","metadata":{"execution":{"iopub.status.busy":"2024-06-10T12:08:00.503266Z","iopub.execute_input":"2024-06-10T12:08:00.503678Z","iopub.status.idle":"2024-06-10T12:08:00.525789Z","shell.execute_reply.started":"2024-06-10T12:08:00.503638Z","shell.execute_reply":"2024-06-10T12:08:00.524867Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Dataset exploration","metadata":{}},{"cell_type":"code","source":"%matplotlib inline\n\nimport matplotlib.pyplot as plt\nimport matplotlib.image as mpimg\n\n# Parameters for our graph; we'll output images in a 4x4 configuration\nnrows = 4\nncols = 4\n\n# Index for iterating over images\npic_index = 0","metadata":{"execution":{"iopub.status.busy":"2024-06-10T12:08:00.526780Z","iopub.execute_input":"2024-06-10T12:08:00.527030Z","iopub.status.idle":"2024-06-10T12:08:00.533497Z","shell.execute_reply.started":"2024-06-10T12:08:00.527008Z","shell.execute_reply":"2024-06-10T12:08:00.532611Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Set up matplotlib fig, and size it to fit 4x4 pics\nfig = plt.gcf()\nfig.set_size_inches(ncols * 4, nrows * 4)\n\npic_index += 8\nnext_cat_pic = [os.path.join(train_cat_output_dir, fname)\n                for fname in train_cat_names[pic_index-8:pic_index]]\nnext_dog_pic = [os.path.join(train_dog_output_dir, fname)\n                for fname in train_dog_names[pic_index-8:pic_index]]\n\nfor i, img_path in enumerate(next_cat_pic + next_dog_pic):\n  # Set up subplot; subplot indices start at 1\n  sp = plt.subplot(nrows, ncols, i + 1)\n  sp.axis('Off') # Don't show axes (or gridlines)\n\n  img = mpimg.imread(img_path)\n  plt.imshow(img)\n\nplt.show()\n","metadata":{"execution":{"iopub.status.busy":"2024-06-10T12:08:00.534841Z","iopub.execute_input":"2024-06-10T12:08:00.535724Z","iopub.status.idle":"2024-06-10T12:08:02.035942Z","shell.execute_reply.started":"2024-06-10T12:08:00.535671Z","shell.execute_reply":"2024-06-10T12:08:02.034546Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Install library","metadata":{}},{"cell_type":"code","source":"!pip install -q torchsummary","metadata":{"execution":{"iopub.status.busy":"2024-06-10T14:37:45.296092Z","iopub.execute_input":"2024-06-10T14:37:45.296922Z","iopub.status.idle":"2024-06-10T14:37:59.775972Z","shell.execute_reply.started":"2024-06-10T14:37:45.296887Z","shell.execute_reply":"2024-06-10T14:37:59.774792Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Import Library","metadata":{}},{"cell_type":"code","source":"import torch\nimport torch.nn as nn\nimport torch.nn.functional as F\nimport torch.optim as optim\nfrom torchvision import transforms, datasets, models\nfrom torch.utils.data import DataLoader, Dataset\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport math\nfrom torchsummary import summary\nfrom sklearn.metrics import classification_report\nfrom torch.optim.lr_scheduler import OneCycleLR","metadata":{"execution":{"iopub.status.busy":"2024-06-10T14:38:00.538368Z","iopub.execute_input":"2024-06-10T14:38:00.538642Z","iopub.status.idle":"2024-06-10T14:38:00.544327Z","shell.execute_reply.started":"2024-06-10T14:38:00.538617Z","shell.execute_reply":"2024-06-10T14:38:00.543428Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"### 1. Definition of KANLinear\n  - This definition follows the provided source and is used in the CNN-KAN model.\n\n  <p align=\"center\">\n  <a href=\"url\"><img src=\"https://www.marktechpost.com/wp-content/uploads/2024/05/Screenshot-2024-05-04-at-12.59.57-PM.png\" align=\"middle\" height=\"383\" width=\"640\" ></a>\n</p>\n\nKAN vs MLP Complexity (please correct if there are any errors):\n\nBig O notation measures the time or space complexity of an algorithm in terms of its input. To compare the memory and performance requirements between the Kolmogorov-Arnold Network (KAN) and Multi-Layer Perceptron (MLP), we can look at the components that affect memory usage and computational time for both algorithms.\n\n### Multi-Layer Perceptron (MLP)\n\nMLP usually consists of several layers of neurons, where each neuron in one layer is connected to every neuron in the next layer.\n\n- **Time Complexity (Training):** O(N * M * L * E)\n  - N: Number of samples in the dataset\n  - M: Number of neurons per layer\n  - L: Number of layers\n  - E: Number of epochs\n\n- **Space Complexity:** O(M * L + N * F)\n  - M: Number of neurons per layer\n  - L: Number of layers\n  - N: Number of samples in the dataset\n  - F: Dimension of input features\n\n### Kolmogorov-Arnold Network (KAN)\n\nKAN uses learnable activation functions at each edge and summation operations at nodes, adding complexity to the model.\n\n- **Time Complexity (Training):** O(N * (M^2) * L * E)\n  - N: Number of samples in the dataset\n  - M: Number of neurons per layer (since the activation functions are learnable at each edge, there is additional complexity here)\n  - L: Number of layers\n  - E: Number of epochs\n\n- **Space Complexity:** O(M^2 * L + N * F)\n  - M: Number of neurons per layer (with learnable activation functions at each edge, memory requirements increase)\n  - L: Number of layers\n  - N: Number of samples in the dataset\n  - F: Dimension of input features\n\n### Conclusion\n\nFrom the analysis above, it can be concluded that KAN has higher complexity compared to MLP in terms of both time and space.\n\n1. **Time Complexity:**\n   - MLP: O(N * M * L * E)\n   - KAN: O(N * M^2 * L * E)\n\n2. **Space Complexity:**\n   - MLP: O(M * L + N * F)\n   - KAN: O(M^2 * L + N * F)\n\nIt can be seen that KAN requires more memory (RAM) during training because it has learnable activation functions at each edge, which significantly increases the number of parameters that need to be stored and processed.","metadata":{}},{"cell_type":"markdown","source":"### Class KANLinier\n\n[1] Reference: KAN: https://github.com/Blealtan/efficient-kan/blob/master/src/efficient_kan/kan.py","metadata":{}},{"cell_type":"code","source":"class KANLinear(nn.Module):\n    def __init__(self, in_features, out_features, grid_size=5, spline_order=3, scale_noise=0.1, scale_base=1.0, scale_spline=1.0, enable_standalone_scale_spline=True, base_activation=nn.SiLU, grid_eps=0.02, grid_range=[-1, 1]):\n        super(KANLinear, self).__init__()\n        self.in_features = in_features\n        self.out_features = out_features\n        self.grid_size = grid_size\n        self.spline_order = spline_order\n\n        h = (grid_range[1] - grid_range[0]) / grid_size\n        grid = ((torch.arange(-spline_order, grid_size + spline_order + 1) * h + grid_range[0]).expand(in_features, -1).contiguous())\n        self.register_buffer(\"grid\", grid)\n\n        self.base_weight = nn.Parameter(torch.Tensor(out_features, in_features))\n        self.spline_weight = nn.Parameter(torch.Tensor(out_features, in_features, grid_size + spline_order))\n        if enable_standalone_scale_spline:\n            self.spline_scaler = nn.Parameter(torch.Tensor(out_features, in_features))\n\n        self.scale_noise = scale_noise\n        self.scale_base = scale_base\n        self.scale_spline = scale_spline\n        self.enable_standalone_scale_spline = enable_standalone_scale_spline\n        self.base_activation = base_activation()\n        self.grid_eps = grid_eps\n\n        self.reset_parameters()\n\n    def reset_parameters(self):\n        nn.init.kaiming_uniform_(self.base_weight, a=math.sqrt(5) * self.scale_base)\n        with torch.no_grad():\n            noise = ((torch.rand(self.grid_size + 1, self.in_features, self.out_features) - 1 / 2) * self.scale_noise / self.grid_size)\n            self.spline_weight.data.copy_((self.scale_spline if not self.enable_standalone_scale_spline else 1.0) * self.curve2coeff(self.grid.T[self.spline_order : -self.spline_order], noise))\n            if self.enable_standalone_scale_spline:\n                nn.init.kaiming_uniform_(self.spline_scaler, a=math.sqrt(5) * self.scale_spline)\n\n    def b_splines(self, x: torch.Tensor):\n        assert x.dim() == 2 and x.size(1) == self.in_features\n        grid = self.grid\n        x = x.unsqueeze(-1)\n        bases = ((x >= grid[:, :-1]) & (x < grid[:, 1:])).to(x.dtype)\n        for k in range(1, self.spline_order + 1):\n            bases = ((x - grid[:, : -(k + 1)]) / (grid[:, k:-1] - grid[:, : -(k + 1)]) * bases[:, :, :-1]) + ((grid[:, k + 1 :] - x) / (grid[:, k + 1 :] - grid[:, 1:(-k)]) * bases[:, :, 1:])\n        assert bases.size() == (x.size(0), self.in_features, self.grid_size + self.spline_order)\n        return bases.contiguous()\n\n    def curve2coeff(self, x: torch.Tensor, y: torch.Tensor):\n        assert x.dim() == 2 and x.size(1) == self.in_features\n        assert y.size() == (x.size(0), self.in_features, self.out_features)\n        A = self.b_splines(x).transpose(0, 1)\n        B = y.transpose(0, 1)\n        solution = torch.linalg.lstsq(A, B).solution\n        result = solution.permute(2, 0, 1)\n        assert result.size() == (self.out_features, self.in_features, self.grid_size + self.spline_order)\n        return result.contiguous()\n\n    @property\n    def scaled_spline_weight(self):\n        return self.spline_weight * (self.spline_scaler.unsqueeze(-1) if self.enable_standalone_scale_spline else 1.0)\n\n    def forward(self, x: torch.Tensor):\n        assert x.dim() == 2 and x.size(1) == self.in_features\n        base_output = F.linear(self.base_activation(x), self.base_weight)\n        spline_output = F.linear(self.b_splines(x).view(x.size(0), -1), self.scaled_spline_weight.view(self.out_features, -1))\n        return base_output + spline_output\n\n    @torch.no_grad()\n    def update_grid(self, x: torch.Tensor, margin=0.01):\n        assert x.dim() == 2 and x.size(1) == self.in_features\n        batch = x.size(0)\n        splines = self.b_splines(x).permute(1, 0, 2)\n        orig_coeff = self.scaled_spline_weight.permute(1, 2, 0)\n        unreduced_spline_output = torch.bmm(splines, orig_coeff).permute(1, 0, 2)\n        x_sorted = torch.sort(x, dim=0)[0]\n        grid_adaptive = x_sorted[torch.linspace(0, batch - 1, self.grid_size + 1, dtype=torch.int64, device=x.device)]\n        uniform_step = (x_sorted[-1] - x_sorted[0] + 2 * margin) / self.grid_size\n        grid_uniform = (torch.arange(self.grid_size + 1, dtype=torch.float32, device=x.device).unsqueeze(1) * uniform_step + x_sorted[0] - margin)\n        grid = self.grid_eps * grid_uniform + (1 - self.grid_eps) * grid_adaptive\n        grid = torch.cat([grid[:1] - uniform_step * torch.arange(self.spline_order, 0, -1, device=x.device).unsqueeze(1), grid, grid[-1:] + uniform_step * torch.arange(1, self.spline_order + 1, device=x.device).unsqueeze(1)], dim=0)\n        self.grid.copy_(grid.T)\n        self.spline_weight.data.copy_(self.curve2coeff(x, unreduced_spline_output))\n\n    def regularization_loss(self, regularize_activation=1.0, regularize_entropy=1.0):\n        l1_fake = self.spline_weight.abs().mean(-1)\n        regularization_loss_activation = l1_fake.sum()\n        p = l1_fake / regularization_loss_activation\n        regularization_loss_entropy = -torch.sum(p * p.log())\n        return regularize_activation * regularization_loss_activation + regularize_entropy * regularization_loss_entropy\n","metadata":{"execution":{"iopub.status.busy":"2024-06-10T14:38:31.660056Z","iopub.execute_input":"2024-06-10T14:38:31.660677Z","iopub.status.idle":"2024-06-10T14:38:31.689863Z","shell.execute_reply.started":"2024-06-10T14:38:31.660645Z","shell.execute_reply":"2024-06-10T14:38:31.689010Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 2. Model CNNKAN\n\nReference: CNN-KAN: https://github.com/jakariaemon/CNN-KAN \n\n  # Basics CNN model for Cat and Dog Classifications with KANLinear\n  \n    class CNNKAN(nn.Module):\n        def __init__(self):\n            super(CNNKAN, self).__init__()\n            self.conv1 = nn.Conv2d(3, 32, kernel_size=3, padding=1)  \n            self.pool1 = nn.MaxPool2d(2)\n            self.conv2 = nn.Conv2d(32, 64, kernel_size=3, padding=1)\n            self.pool2 = nn.MaxPool2d(2)\n            self.kan1 = KANLinear(64 * 8 * 8, 256)  \n            self.kan2 = KANLinear(256, 100)\n\n        def forward(self, x):\n            x = F.selu(self.conv1(x))\n            x = self.pool1(x)\n            x = F.selu(self.conv2(x))\n            x = self.pool2(x)\n            x = x.view(x.size(0), -1)\n            x = self.kan1(x)\n            x = self.kan2(x)\n            return x","metadata":{}},{"cell_type":"markdown","source":"### Model ResNet-KAN ","metadata":{}},{"cell_type":"code","source":"# Define the model architecture with CustomResNet using KANLinear\nclass CustomResNetKAN(nn.Module):\n    def __init__(self, num_classes=1):  # Set num_classes to 1 for binary classification\n        super(CustomResNetKAN, self).__init__()\n        self.model = models.resnet50(pretrained=True)\n        self.model.fc = KANLinear(self.model.fc.in_features, num_classes)\n\n    def forward(self, x):\n        return self.model(x)","metadata":{"execution":{"iopub.status.busy":"2024-06-10T12:08:17.036102Z","iopub.execute_input":"2024-06-10T12:08:17.036967Z","iopub.status.idle":"2024-06-10T12:08:17.047008Z","shell.execute_reply.started":"2024-06-10T12:08:17.036931Z","shell.execute_reply":"2024-06-10T12:08:17.046131Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 3. Creating PyTorch Dataset and DataLoader\n  - Use transformations and PyTorch DataLoader:","metadata":{}},{"cell_type":"code","source":"# Directory paths\ntrain_dir = './split_data/train'\nval_dir = './split_data/validation'\n\n# Define data augmentation with correct input size for ResNet50\ntransform_train = transforms.Compose([\n    transforms.RandomResizedCrop(224),\n    transforms.RandomHorizontalFlip(),\n    transforms.ToTensor(),\n    transforms.Normalize((0.485, 0.456, 0.406), (0.229, 0.224, 0.225)),\n])\n\ntransform_test = transforms.Compose([\n    transforms.Resize(256),\n    transforms.CenterCrop(224),\n    transforms.ToTensor(),\n    transforms.Normalize((0.485, 0.456, 0.406), (0.229, 0.224, 0.225)),\n])\n\n# Define batch size\nbatch_size = 64\n\n# Create the datasets\ntrain_dataset = datasets.ImageFolder(root=train_dir, transform=transform_train)\ntest_dataset = datasets.ImageFolder(root=val_dir, transform=transform_test)\n\n# Create the data loaders with smaller batch size\ntrain_loader = DataLoader(train_dataset, batch_size=batch_size, shuffle=True)\ntest_loader = DataLoader(test_dataset, batch_size=batch_size, shuffle=False)","metadata":{"execution":{"iopub.status.busy":"2024-06-10T12:08:17.048446Z","iopub.execute_input":"2024-06-10T12:08:17.049316Z","iopub.status.idle":"2024-06-10T12:08:17.168153Z","shell.execute_reply.started":"2024-06-10T12:08:17.049280Z","shell.execute_reply":"2024-06-10T12:08:17.167502Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 4. Training dan Evaluasi Model\n  - Bagian ini mendefinisikan loop training dan evaluasi model. Clear Gradients dan Kosongkan Cache","metadata":{}},{"cell_type":"code","source":"%%time\n\n# Initialize model, loss function, optimizer, and scheduler\ndevice = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\nmodel = CustomResNetKAN().to(device)\n\n# Print model summary before DataParallel\nsummary(model, input_size=(3, 224, 224))\n\n# Use DataParallel if using more than one GPU\nif torch.cuda.device_count() > 1:\n    model = nn.DataParallel(model)\n\nprint(model)\n\n# Print model parameter details\ndef print_parameter_details(model):\n    for name, param in model.named_parameters():\n        print(f\"{name}: {param.size()} {'requires_grad' if param.requires_grad else 'frozen'}\")\n\nprint_parameter_details(model)\n\n# Use BCEWithLogitsLoss for binary classification\ncriterion = nn.BCEWithLogitsLoss()\noptimizer = optim.SGD(model.parameters(), lr=0.1, momentum=0.9, weight_decay=5e-4)\nscheduler = OneCycleLR(optimizer, max_lr=0.1, steps_per_epoch=len(train_loader), epochs=200)\n\n# Training and validation functions\ndef train(model, train_loader, criterion, optimizer, device):\n    model.train()\n    running_loss = 0.0\n    for inputs, labels in train_loader:\n        inputs, labels = inputs.to(device), labels.to(device).float().unsqueeze(1)  # Convert labels to float and add extra dimension\n        optimizer.zero_grad()\n        outputs = model(inputs)\n        loss = criterion(outputs, labels)\n        loss.backward()\n        optimizer.step()\n        running_loss += loss.item() * inputs.size(0)\n    return running_loss / len(train_loader.dataset)\n\ndef validate(model, test_loader, criterion, device):\n    model.eval()\n    val_loss = 0.0\n    correct = 0\n    with torch.no_grad():\n        for inputs, labels in test_loader:\n            inputs, labels = inputs.to(device), labels.to(device).float().unsqueeze(1)  # Convert labels to float and add extra dimension\n            outputs = model(inputs)\n            loss = criterion(outputs, labels)\n            val_loss += loss.item() * inputs.size(0)\n            predicted = (outputs > 0.5).int()  # Convert outputs to binary predictions\n            correct += predicted.eq(labels.int()).sum().item()\n    return val_loss / len(test_loader.dataset), 100. * correct / len(test_loader.dataset)\n\n# Training loop\nbest_val_loss = float('inf')\npatience = 10\npatience_counter = 0\n\n# Lists to store loss and accuracy values\ntrain_losses = []\nval_losses = []\nval_accuracies = []\n\nfor epoch in range(200):\n    train_loss = train(model, train_loader, criterion, optimizer, device)\n    val_loss, val_accuracy = validate(model, test_loader, criterion, device)\n    scheduler.step()\n\n    # Save losses and accuracy\n    train_losses.append(train_loss)\n    val_losses.append(val_loss)\n    val_accuracies.append(val_accuracy)\n\n    print(f\"Epoch {epoch+1}/200, Train Loss: {train_loss:.6f}, Validation Loss: {val_loss:.6f}, Validation Accuracy: {val_accuracy:.2f}%\")\n\n    if val_loss < best_val_loss:\n        best_val_loss = val_loss\n        patience_counter = 0\n        torch.save(model.state_dict(), 'best_model_resnet50_KAN.pth')\n    else:\n        patience_counter += 1\n        if patience_counter >= patience:\n            print(\"Early stopping triggered\")\n            break\n\n# Load the best model weights\nmodel.load_state_dict(torch.load('best_model_resnet50.pth'))\n\n# Evaluate model on test set\naccuracy = validate(model, test_loader, criterion, device)[1]\nprint(f'Test Accuracy: {accuracy:.2f}%')\n\n# Plot training and validation loss\ndef plot_loss(train_losses, val_losses):\n    plt.figure()\n    plt.plot(train_losses, label='Training Loss')\n    plt.plot(val_losses, label='Validation Loss')\n    plt.xlabel('Epochs')\n    plt.ylabel('Loss')\n    plt.title('Training and Validation Loss')\n    plt.legend()\n    plt.show()\n\n# Plot validation accuracy\ndef plot_accuracy(val_accuracies):\n    plt.figure()\n    plt.plot(val_accuracies, label='Validation Accuracy')\n    plt.xlabel('Epochs')\n    plt.ylabel('Accuracy')\n    plt.title('Validation Accuracy')\n    plt.legend()\n    plt.show()\n\n# Plot the losses and accuracy\nplot_loss(train_losses, val_losses)\nplot_accuracy(val_accuracies)","metadata":{"execution":{"iopub.status.busy":"2024-06-10T12:08:17.171134Z","iopub.execute_input":"2024-06-10T12:08:17.171408Z","iopub.status.idle":"2024-06-10T13:17:06.392953Z","shell.execute_reply.started":"2024-06-10T12:08:17.171384Z","shell.execute_reply":"2024-06-10T13:17:06.391948Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 5. Evaluasi Model pada Data Test","metadata":{}},{"cell_type":"code","source":"\"\"\"\n# Create the test dataset and loader\ntest_dir = '/tmp/test'\ntest_dataset = datasets.ImageFolder(root=test_dir, transform=transform)\ntest_loader = DataLoader(test_dataset, batch_size=16, shuffle=False)\n\ndef test(model, test_loader, device):\n    model.eval()\n    correct = 0\n    total = 0\n    with torch.no_grad():\n        for inputs, labels in test_loader:\n            inputs, labels = inputs.to(device), labels.to(device)\n            outputs = model(inputs)\n            predicted = (outputs > 0.5).float()\n            total += labels.size(0)\n            correct += (predicted.squeeze() == labels).sum().item()\n\n            # Kosongkan cache CUDA\n            torch.cuda.empty_cache()\n\n    accuracy = 100 * correct / total\n    return accuracy\n\naccuracy = test(model, test_loader, device)\nprint(f'Test Accuracy: {accuracy}%')\n\"\"\"","metadata":{"execution":{"iopub.status.busy":"2024-06-10T13:17:06.394523Z","iopub.execute_input":"2024-06-10T13:17:06.394962Z","iopub.status.idle":"2024-06-10T13:17:06.404679Z","shell.execute_reply.started":"2024-06-10T13:17:06.394922Z","shell.execute_reply":"2024-06-10T13:17:06.403546Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 6. Plot ROC Curve","metadata":{}},{"cell_type":"code","source":"import numpy as np\nimport matplotlib.pyplot as plt\nfrom sklearn.metrics import roc_curve, auc, classification_report, accuracy_score, precision_score, recall_score, f1_score\nimport torch\n\n# Function to calculate predictions and true labels\ndef get_predictions_and_labels(model, test_loader, device):\n    model.eval()\n    preds = []\n    true_labels = []\n    with torch.no_grad():\n        for inputs, labels in test_loader:\n            inputs, labels = inputs.to(device), labels.to(device)\n            outputs = model(inputs)\n            preds.extend(outputs.cpu().numpy())\n            true_labels.extend(labels.cpu().numpy())\n\n    return np.array(preds), np.array(true_labels)\n\n# Function to plot ROC Curve\ndef plot_roc_curve(true_labels, preds):\n    fpr, tpr, _ = roc_curve(true_labels, preds)\n    roc_auc = auc(fpr, tpr)\n\n    plt.figure()\n    lw = 2\n    plt.plot(fpr, tpr, color='darkorange', lw=lw, label='ROC curve (area = %0.2f)' % roc_auc)\n    plt.plot([0, 1], [0, 1], color='navy', lw=lw, linestyle='--')\n    plt.xlim([0.0, 1.0])\n    plt.ylim([0.0, 1.05])\n    plt.xlabel('False Positive Rate')\n    plt.ylabel('True Positive Rate')\n    plt.title('Receiver Operating Characteristic with KAN-CNN')\n    plt.legend(loc=\"lower right\")\n    plt.show()\n\n# Function to calculate and print classification metrics\ndef print_classification_metrics(true_labels, preds):\n    preds_binary = (preds >= 0.5).astype(int) # Threshold for binary classification\n    accuracy = accuracy_score(true_labels, preds_binary)\n    precision = precision_score(true_labels, preds_binary)\n    recall = recall_score(true_labels, preds_binary)\n    f1 = f1_score(true_labels, preds_binary)\n    report = classification_report(true_labels, preds_binary, target_names=['Class 0', 'Class 1'])\n\n    print(\" \")\n    print(f'Accuracy: {accuracy:.4f}')\n    print(f'Precision: {precision:.4f}')\n    print(f'Recall: {recall:.4f}')\n    print(f'F1 Score: {f1:.4f}')\n    print('Classification Report:')\n    print(report)\n\n# Assuming you have your model, val_loader, and device already defined\n# Example usage\npreds, true_labels = get_predictions_and_labels(model, test_loader, device)\nplot_roc_curve(true_labels, preds)\nprint_classification_metrics(true_labels, preds)\n","metadata":{"execution":{"iopub.status.busy":"2024-06-10T13:18:59.296647Z","iopub.execute_input":"2024-06-10T13:18:59.297242Z","iopub.status.idle":"2024-06-10T13:19:28.205968Z","shell.execute_reply.started":"2024-06-10T13:18:59.297208Z","shell.execute_reply":"2024-06-10T13:19:28.205059Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Making Prediction\n\nCode Colab: https://colab.research.google.com/drive/1SvgJFlm2TR0gryI0Fr5EUtXStFsr1WVk?usp=sharing","metadata":{}},{"cell_type":"code","source":"# Tentukan device\ndevice = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n\n# Definisikan transformasi gambar\ntransform = transforms.Compose([\n    transforms.Resize((224, 224)),\n    transforms.ToTensor(),\n    transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225])\n])\n\n# Fungsi untuk memuat dan memproses gambar\ndef load_and_preprocess_image(img_bytes):\n    img = Image.open(BytesIO(img_bytes)).convert('RGB')\n    img_tensor = transform(img).unsqueeze(0).to(device)\n    return img, img_tensor\n\n# Definisikan model ResNet Anda\nclass CustomResNetKAN(nn.Module):\n    def __init__(self, num_classes=1):  # Set num_classes to 1 for binary classification\n        super(CustomResNetKAN, self).__init__()\n        self.model = models.resnet50(pretrained=False)\n        self.model.fc = KANLinear(self.model.fc.in_features, num_classes)\n\n    def forward(self, x):\n        return self.model(x)\n\n# Membuat instance model\nmodel = CustomResNetKAN().to(device)\n\n# Memuat state_dict dari file dengan penyesuaian nama parameter\ndef load_state_dict_adjusted(model, state_dict_path):\n    state_dict = torch.load(state_dict_path, map_location=device)\n    new_state_dict = {}\n    for k, v in state_dict.items():\n        if k.startswith('module.'):\n            new_state_dict[k[len('module.'):]] = v\n        else:\n            new_state_dict[k] = v\n    model.load_state_dict(new_state_dict)\n\nmodel_path = '/kaggle/working/best_model_resnet50_KAN.pth'  # Ganti dengan path model Anda\nload_state_dict_adjusted(model, model_path)\n\n# Fungsi untuk melakukan prediksi dan menampilkan gambar\ndef predict_and_display(img, img_tensor):\n    model.eval()\n    with torch.no_grad():\n        output = model(img_tensor)\n        prob = torch.sigmoid(output).cpu().numpy().flatten()\n    plt.imshow(np.array(img))\n    plt.axis('off')\n    prediction_text = f\"Probabilitas: {prob[0]:.4f}\\n\"\n    prediction_text += \"This is a cat\" if prob[0] < 0.5 else \"This is a dog\"\n    plt.title(prediction_text)\n    plt.show()\n\n# Fungsi untuk menangani pengunggahan file\ndef handle_upload():\n    uploaded = files.upload()\n    for name, data in uploaded.items():\n        img, img_tensor = load_and_preprocess_image(data)\n        predict_and_display(img, img_tensor)\n\n# Memanggil fungsi untuk menangani pengunggahan file\nhandle_upload()","metadata":{"execution":{"iopub.status.busy":"2024-06-10T14:38:37.775010Z","iopub.execute_input":"2024-06-10T14:38:37.775494Z","iopub.status.idle":"2024-06-10T14:38:38.962677Z","shell.execute_reply.started":"2024-06-10T14:38:37.775455Z","shell.execute_reply":"2024-06-10T14:38:38.960662Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## Result prediction in colab\n\n![image.png](attachment:00f0feed-6f81-4ccb-a133-2a9aead0d994.png)","metadata":{},"attachments":{"00f0feed-6f81-4ccb-a133-2a9aead0d994.png":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAA0gAAAGeCAYAAACuHyHAAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAP+lSURBVHhe7P0NoF9VdeaPr7zc3HAJhGDAuaAXNGiJHWL/oE1wTDvGltA2dETHYIWOUDC1UsQi/GwpLYNSW0dKQYp1oow4JY7GUZyKraE1jo0VMmqmhGqYShTSQhQi4Uq4ebl5+T+fZ+3zvd/7fvMCguznZuecs1/XXnudvdfae5/9nbRgwYJ9UVFRUVFRUVFRUVFRURGTy7WioqKioqKioqKiouI5j2ogVVRUVFRUVFRUVFRUFFQDqaKioqKioqKioqKiomDMb5CmTJkSxx9/fMycObP4VDyV6O3tjYceeij27NlTfCoqKioqKioqKioqnk6MaSD19PTEySefHJMmTSo+FU8l9u3bF/fdd19s2rSp+FRUVFRUVFRUVFRUPJ0Yc4sdK0fVOHr6AK/ral1FRUVFRUVFRUXFjw/1G6SKioqKioqKioqKioqCaiBVVFRUVFRUVFRUVFQUjPkN0imnnBLHHXdceRoLO+Px7z0cW8tTxKw47kVHRWd5ip2Ph4IH+z2TsHtb/OBfHo2+8jiArjjmhc+PGXva6H+K6/Lwww/HvffeW54KTr80brropLj/o5fEjXcVPzCa/4SwNK6+ZXHEnRfGNZ8qXs9wzH/HTbFszv2x/NIbY23x2z9knXvK0yBsWz8sX5f38oj1I/J3aF59g+O5beZJgkbAplVx4TUrx4gzJK92HFSbV1RUVFRUVFRUjIeDX0HCuJDFsPOYnnjRi15k13PMznj4e4/LbHo2AWMo6R9wMo6mluCKiQEF/pab4tLTy/MzEJtkFF544RA3zOiaHwvmKO6miJNeOb/4NUjjaPY9ywfSf/T+OOmiofXG0Gkro3EYRy0Mj7NqU1fMe9OloqCioqKioqKiouLpxkEbSDu3PRp9s46L58+YUnwipsyYHcccvjUe3/YTclx151Eylp6hq18VTw3OOTPmxf3xxfu2RNfLz5RJ1IbTu2O2DJv7v95mUt11Y6yRYTPcmNp/rLxzffTNOCkWjGRkqpxLLqyrRxUVFRUVFRUVTxUO0kDaGdu3Rsw6bKjpMCVmHPuiQUYT6N/2g/je975n94NBxhNb9NIf9/iQpac9bem+98i2GEi5J7Y9MpDue0MSjp5uP8G2utFWxLyC1tDwg9i2u/gDpxsl7CnA0qtviVuuvjquvkVXuyErGudcXfyJN7d4DsDpW+FtJgHpblS+NxKWeQ6Ke2Oz2rE0rvaWsa6Y17aaMihuO01ltenqq28aCG8vV7le6jIz3ZmzivfTgKUn90Tfxrtj7ac2xKboibnnlABw1+aQ2TTMGFp5zYVxyQcPbPPfhNG+Qtfcv2OgXW96RztNg/lnPrfaqqKioqKioqKiYiQcnIG0u19GQ1dMHWwHjYKt8WTMzq1rx82Kvke3FIMBI6dti57Ctj7cZkzIyNj0aGcc5y1vPXFMPBqbiiG0Z9uWeHTacZmOsF0PDxhXg9K9KI6bNpBuZPTFo//SGDPpxoxuyLD7l0ej87gs40XHdSqPxpBS2MM7B7btEfbYQRhpE0XP7Hi8bNkavFVLxssZPa3tZcu3zh70LQ7f2yw+en0s9zav5bH+6MWDle0Ziv01wi6JG3uubourch6bF+c57sq45qPrxcm2b2hkXA2KC01ntBtBXaJjjcMuJG3P4ri6GCPz33FezIsm7RrVbcQvevYbPWc0RsOAa8pMLI25Pc0K0cr44j190XNyO82q552bouvly0ZJ3wBDcWhZbQbiKFh6hozMbffH3RNaJVIZcx5PHol/IZqeav5VVFRUVFRUVPwk42k8xW5WHNWsKE2ZKrWuYPf2ePLJrjh8egnrPCKOObwvntyRpsTOXKIq29umxIyZs2RrbR9Yzdn6eDGmctXqqLKYRbquY45obYvrnHFMdLWnG4bh3yA1eY2Kndtj6+HHxBGtQqB9a2xvFSKja1t5YJvesTNE5VOMTWta268e3Np27MQ5c2WIbIoN5UCGtR9co6cGfG/TFZu+1nyHszZu/JoMgDkL2lYbBtIaM+bFmUURH3Pl5FPXtH3fMz+6j/ZNG2RM3Vm+yfHKTIOkqY9VHD+noXIoMNI3SIMOqoBXbXxc+/X7ZbjNHbzNjnqVtKvEyDS6hho/I32DNHR73HAjanHPpli1HwdRtNrN2/xEi425p45/FRUVFRUVFRU/yTg4A2lqhwyQvth9MMsie3Yrh87oGPEwhD3Rv0sq5NSRT0qYMuP50XNMtK38NCtPma7v0U0DK0I+pW5n9B/CbW57+mX8PPlobGrK+N6mePRJ2U39MKQzjnrRcTFr68MDNIy/JDUyypauo0Y8fm1imP/82RHbHo8Hy7PMp3h8W7mNE2S8DllZOUOFzThKISMA4+DOTYPij7yCIngbWBPvvDipeI+PpGnLDwbMhLU/GDCfnjrMj0tfpbr3LG7V7RZvG+yJhYO2rw0AAzENpfYVu4mi3YhaZaO1754vypyZKPri8QFLt80oHs6/ioqKioqKioqK8XGQK0idcZgXdIYr/jsfn6BB4NWk0QyXKdExTSrg7tGtGoykZsXnuFl9ZRtbputqO1kv3aE9lW5KR2fE4cdEz6Ay2r+9wkgq/i9kBattC+ChQM9R4t2W2DyBrVg2LgYZPKlAJ9JYGr6ycs3oinrbCspytqCdcfXgFZYCbxfjWGvHvSTWPFYCxkXSNPv5A+aGjbynGqcviJNmbIpVLR4M1LFZUWM74uBvpRKDVuwOCLlFsX2b3PgYbDifMKtZmx3Ov4qKioqKioqKivFx0Fvscuvaw4MPXdj5eDy8tSuOmTHeHjVh6mFxeNuWutj5RDzatuWuMy2wsjVuT2zrHdhyN9QImzpVyuG0Dm9jI13fo0+0ttTlgQ2H+OjxzsNi1pOPxhNNpuXABpPk+7ZvqbzaNtHvtYZiZWzwNq52I6SsdGzaMLHVhnLYQGsVxFvuGqyNuzfKyHnVwOqHD1YY5YN+GwhtYTa+Bq1ODcHR3Rn39EtjYZsyPzaSpoET5HLL2FON+a88SQbdcJ56m105WS633A35RktUnvny9i1tB4i7bozbxjA4R0Lr+6jC3033QX3hX2ubZNJXUVFRUVFRUVExNg7+G6SpM+L5LzouOtu3s/mHVCe6WsO3Q23pH94as45rS9t5VPldJfLeFI/GMdFTPg7qPCoPZmjK9aEMzYdDg9IRFnHMCw/1Ud2dcdQLj4mdD2cZbOOLY3ry2yX44kMbSph/K2r2Aa9gsY1r1aaeWNzarrYs5j1WfnB0QhhYnXD6V0mRbm2xkzr9wUt82MKykv9Y38EMjXvLGbNj/Seb72Dujvu35Xc1rILkkdUl7psi1vAdTGMwjQOX06rzsjjqsba9ZAJGXLuRYqOubWVntJWekQ5puOUWDJI0ItLAGIKmXhww4aO2V8WWtkMabik/ujv4W6zh3xfZjXOSXH4fpnqXeKPVI9GnuAsz34vmRdyzvPU91doP3hbro2mnufF4/QapoqKioqKiomJcTFqwYMG+cj8Mp5xyShx33HHlqeLpwMMPPxz33ntveaqoGAK+6bropLifUwKj7X4C2ywxtJbNWrMfRnVFRUVFRUVFxXMPT+MpdhUVFYcGE/vubPAKW9kCuHXUjZAVFRUVFRUVFRVCNZAqKp4l8FY7TtSb4HdnbG9sbam8ZXH0bFr11P+QbUVFRUVFRUXFsxx1i90zDHWLXUVFRUVFRUVFRcWPD2OuIPX29sa+faPaTxWHGPAanldUVFRUVFRUVFRU/Hgw5grSlClT4vjjj4+ZM2cWn4qnEhhHDz30UOzZczC/vFtRUVFRUVFRUVFRcaAY00CqqKioqKioqKioqKh4LqEe0lBRUVFRUVFRUVFRUVHwLDeQ5selN3JC101x6enF61mFIfT/8pXx4VtuiQ//wdLozggV42Doj8P+ePBsl8OKQ4euWPL7H5YsfDiuPKur+B0KdMXCZe+Pqy+Yo/s5seiNS2PRizPk2YA5r1kaS18D7U8l5sT5V18b5596KPn+bMXSuPqZ3B/xe24/Mf3lYF4Pk/UXL45Lr71JfQJjxC1x09XnxtwStL8Y+0fDK34y8Ax/d59DePq22PkHLudF17b1sfzSG6M5bBgFd3FPRN89yw/gCGIU02Uxb0ZfrJ/gj2XuHxDUxdETm2LVhddM6Gjl/cMQ+mddHh9+g7rOB1bFNe9dGZtLrING1+K4/P1LY25Xf2y685q45lMl5+NVvz9Q/Tr6YsOn3h3X3dmX/k8hZs4/N955zsLomdmRHn2bY/3frIiP/PWGGL/04e1t+YlVE//x00YOy6Oxtz96N98bq269OVZ9t/jtFw5UDpt0oXa5UO1SvH/Scc7VccsZeulHwya1531zR40zlFcYJGe/WPLEMeaSg0FyJOXk4vMXxyndM6OD6aC9fbFl493xqQ+uiHVEHIMWytlwcvZPg9C3JTbe9am44RPrRpBZGUi/e32c/ZKIDZ95W1z318X7IDFHdF4x//FYcdWNsabv7Lj6I0uia+118e6Pbigxnnnofsv749oTv6k2uTfOe//lMX/bHXHhe28voU8Nul59aVz75qPi7uvUXx/Iu9x1apz7rvNiYU+RF/VP6z77gbj5y+XwnK7uOPXVC+MVp8yLk+d0R+9Xhry3I/UvbeNH16nnxhXnDfR/fZvXxe1/enOs3urHmHPmpXHBr8yLbjKgX9q4Kj7ywdtjQxG08cIHwNi1MB4/kHGx/ceoD/mYWnAIy9jvMeCQYzCvz/6DW2LJjLVx3buXxwZJwtm/f30sed79cfsnvhAb+w6LnufvjlVfXl/S7h/278e+u2LuL781zl08N7pndIw6xrTe0zu74/3DZLdAOsmF0kkGIJ3iQ0ui/y+zzuPJZcr9Isn9QPjNf3J7bHTonFj8jgtiySnd0cU7198bG//2I3HDZ0bQCRqdZfOBtXdX96mx8NWviFNefnKc9PzeWP3WIXodxuxvLIl5rgjv59pY+b7l6nP9OHY9uhbGsiuXxnzSbtsYd9z4vrj9gPSJg3h3Kw4p6ha7ZxL++rp424UXxtsOpXEE+lbF7d/YopuO6Hnl62Ne+sa8X10g40g3m++OFU+DcRSnXxxXL6NzUaFSMrf09tNjxbw3XBpXnHMQs8t7y3W/IEX5gU2x6YHN0Su+zDz+1Fj6mzJWSmjFU4hHNovv8F5uS5E7yUPL7yFktUCD5ebGv7jNj5Qw0HV2zHthKpvRMy/OPj5vE4vi8t9ZGqceL2V3xxblQ1t3xeyXLIpl7xqySjtOOf29SfNm6O2aHXNeuyyueONI67x9ccefvC0uvPDQGUcoBee9ZnZs+DTGER63xzVvvfAZbRypd4nXnzIzNt5zhziyIZa/+8Kn3DgCfV/9SKz63uxY9GsyIIvfxNEdS9+1LBbNejju+OBlceEl18Xtm7ri1HMujrNLZvMvujIuPuu06O5XQ3Sm3yAc0REd/Zti9Z9eF9e13MekvgtqxyvU/83cfEfcePmFcckHbo8HZZAtffvZSav6x4vfODdi3a1x1SUXxmUfvTv6TlwSb31L6ZXGC694RuD290rWbRyBU6Ln2I7oe2BN3PGNDbHh2+sO2DjaX8z/rWvj8iXHxeNfXRHXvfeyUSbg2t7Tu26MS6R/XNjuLrkjNkrWN3x1sDHS9brT4qS+++LLKPDjyuWiePsFi2L25tvjOsI/uCZ6Fb7solxHm3/xxbH0ZRHf/PhVKv+yWL62L3pk2F3wcge3oSuWnC/9oXT3+4/58dbfvTiWvKI7+rdLGxqm/XbHub+xNOZOuTeW835etSLu75of575jSQkfux5dZy2KU/ferbDLYsWm7li0JH+kveusK+P6310Ss/1U8WzC1HJ9hgDLmRWbLbHhnv44ocwo9H7njpaVPufMy+PiN8yNmfLv27xRCs8QDJsBWB93/LcbvTKQq1V62e/ZEie9vCf6WbW646hB8ft7N8Wa2z4QKzrf2jYT2BOLb7kpurHofzA4f2YY13/hY3HjF0VdMxv9yIZYv+eEjLO3NzZ+4eZ43+fKXMlY9DfpmUG/5sHWqsSme7fEzJ/uKWnaZjTaZyz29kl564/uY2eOuBq38eOrYsMrzo25s06OM87oivVfXRRLXs40iPjxpRU2yLpOVqd23uIReTeYNjrLIasmPRned9/62PKiedHTP3il0J3Pr5waLvHeW+PdN6zx7FCX+HG9OteeVy2J+Z9S/CHtN8Df04psgK6Yd9EtcXXPhR6E+nofHNburXb0MsFI2BLffG+ZPTr+/Hj/exbG7NndcbIeGb7G5IUwajtOOzuu/PCSmNOxJdb+6btj+bfLDN3PqXvcvDquUqc7ceNXytmbr4jzfk5tz6DAjNWmNXHbn7L6McD/A5OPEwo/B2a3PTv58q4Sfu8YZes55sTZDDYvyRMuezdviY7u2dHVko9C+2uSLgyQTX9/W3yAVZcvL49rvuxkA3K15ZteNW3hnIV53flgfP697XI0GF1nzROvlX1/f3R0yNj+lbmxYnkxHE4/JU6g+XZuiJVSdq2kvlht/ftq6xNPi8XHr4xb8QOjlLP05/La/8Dn45ryTs37revj0lfMjJ5TFkXXp1dYjtvRrIrnjG3TTqr/A+pJThS/aIuvr4z3LS/vwKuXxZXnzM/ZV8n7lv7umD1zYDXSExlbvxnLW7OJ2U9GmRGmvIV962Jz96kxxzOb9DkfiTXHnhtLX5l96OCZ0CEztipz7afeF8u/2tSkrW2h9d4Ho+Plc6OvmYGWXJ3/u2fHQhmegP552CrG6a+Jk7vujzs+l57ts/yWs9n3x9rJJ7Vkc9NXPxYf+PjAityc110ey147N2YXnrSv4gzil97z9T+cHfOOvb/0N32x6s77VL+Fcd7L7vD7N3EsjLkndsSmL14Xd/in6Hrjjk+sj4XvOS16UNbE/3s/+u64sA8qaYMRJnVmHR4dOx+P+78tZbh4tfAq9XMdet8+cIf7mNh6R6y4Z2Fce2qP1GjJ2KlzYmbvvXHbx9ZkH7H21ljzcwti6bHZK506TvhI6PgZKWe/oXS0c+/GuOPPmdVOmTxp04q45E9XZ8QzLo8Pn3NcPPS9jjjxRTBWcqc+9qZXlrFkzDZPeVks4UPp7Fc5q5bfELff1y4Q42DIyp3zMK0ZPOd1MkzPVD3oi1orDKfEFa0xYXHccsvcEXZ65Gz8k9/YHMfBv4YPeveOOa+tb2x7H0Oj1KILroglr+ou8TfHms++L24d6/2Q7+MZ2CbrMTBm+Qe7zxR9X4xueL9xYIzeL1kvK43GKy6O63/rlNjymbfF+4ZOxhx/bpx1an+s/XONQfcUv5Ew5D0dinnnLYg52+6LG5v+2pCh8vI50XvvVZa6ceXyjFPjpK4tcfcn7kh5uXdFrL5vQZw/R/WKw+IVkpvee28Tf3NkXKt8Fr5yacwmeRvtXWe8PRa/cHNseqSntPn+4t74yO9dGH59GXeGblE+nvG+P+7/1PJYaz6vjo98Y1Hc9OqT1Z53xKox67Ehep4/O/q3fFFhvbHhX7fEuSefIKKPiXf+0sxYf90d0jhGw9jyNJ48uv/ftjrum7UgTrU8D9Y5J9RfV4wI2P0MxOyYe3KX5KA3+vU08yWL45yzdKOX/gIp0whJ3+ZN0XvEnOie4QQF8+Pi315qpZbwzVv7o6t7Xix96/kSwQZdMVfGEQIYcZRnDOZ1d8SW+9bE6nV6QWf2xKJl74wlj6yL1V/aUBRfCfyXVse6TXNj2W+W/B9YG2vu2Rx9rIC87rxY2j5zfezcmDu91+XH5JlSps8Jz0GMS/9I6Iqen54dfZtU1l49dc+PJecxY8Fs57nZwe9UWZv7Y7aU39GxOlaspQNS/X/u7Jj3enV8KJZSelfQ+XUtjrdfLH/q9kgb7377YnF14ug6WcbRSDOrUj5O8oT7lrj3zmYgEh++uC7WMWO/ZXscHmPx9764+0tSAneSqj82f2N13C3lZ+U1F2qg2TR6OzKwjImu6D5Zij23fU9mJzYeL8Zqx10yRP8FqZ0dc6Sckv/CE3PuaPN9q/fDOBJ++Z0aOGVgMGHw1bWxUcI488RFccFF7S1yqORjCMYpm1m/Vof+wObo0ODQzuruN16R6b0yI9qmyKB47QXxdhnnhw7dcfYpDJV9cf+X7/W7OvuliwZWAXu3p5x1nhALzluYSsZ3ZZx7dvTdcetDBO4/1j+WvUJ0Hh4aAicI1V/isPkh9WmTJXNsNeUbJVYVzksFqH/rZsn3bBlHJYkxNxbIqNryvbVjyk7XnO54+HPXxGWXy4h/oCPm/MrlsbTn/lj5h5fFVTevji2zG7lQjhcti6Uv64+7WSW58LJYsbEr5p/z9ljkUClFy5bFkhP7Y92nromr/vBjcXfncW2zn3Pi3N89Nxbs+aZXQS674fZ4uHtJvH2QTEYsetVJERvXpVE6Eo4/IY5c+7G46vKr4tav9Ub3z0k2XpNBbJN751nHqT5XxSWXKPyejjjlnHdmH9u1JN4pfs38/qq4+aqr4prPPRjHvHCITN3zjXhwW/P+7Q9WxjWSjWs+XR6BFHb1AuimRp+1q9ExX+9ByPA75yP5vckt118d5zbfRH36GvF7sALfM1NhUqjIft3Nao/Lbo51GSR0xcyujuhXOBgvfDjU179kV6xWO1/23pVSVefEkt84V2/N2rh7Y1909ZzS6tvnS5nr2Lox/te1l8SFH12vGmOg07eixI/d5sjTkhN7Yw3yJPlb09sTSy66YL9W45e8g5W7ByWvKv+S6zIP0yq8bFksO6sner96Y1wmeb3xq71lhSHbaxXMY2JmmHHUoCtOOv7huP2PxIcbVsXGDvHhXUujZ+NKy9/NX9kSs+cvkUGdsee85co4d35HbPxkyt+KTerDL7g6zi8Kdb4ffbHmY1fFZcPej3ZA3/JYv01NfM/yEembiKx3bbpdfL8sZf34Nln/9l2x5qtr4u77ynMbun5+bnQ/0RdHvrF8+/SRm+LaZQvFicEY+z1dFGecMjs2/+NnB5vfx2tsfMHmWP932SONK5dMGmx7ODa29bfffERhXeoTlermyyRTNw+kxv/wzv54st0YlKS+9VfmRt9dt8WGHcVrvyGpHuv19bu+JTZ/tTwLfZsejT718+6Sx6yH7KUfbImO2SfFXD0veoHG5G29sfjixTHzH1fErWNstRtPnsaTR9D1stPisLUfUf8vGbtP/X+jc06wv64YGWMaSP/u3/27uOGGG+y4f/qwJdaoM7tKg/uKe5Hojpjdc2p0/8I8d5j9370j3n2VBu9LV8YGK8wFZ702TpEkt8Iv/1Cs4yWTwfLa0vmBLXdd56XkSz74eMw+Ah8ZQJ+5NVbcfHOs+OvVsfrvZRjtWBO3f0LKr1NoAPvE7bHmobJVhLTvXR63fvBmvSAK7pgd3S9yxMQja+IadbxXXb7CnSPhJ7xC6tx49I+I/tjw6UviqvdeFe/+cnZIs59/it4IKYInYuaJV9clrz52z9iD9+bbPp/0dC+It86Hkr7YcGdu5+s6a4FebCKtjvf9Hrz7QKyhbjNPiddinE4Uj6z18vOFg1aP2tEXjw+a1V0dy997TVwjfq5utuKMyN/1seoT34hHsT3Ek0fV6azyLC/oGb0dZznCCGBVMA9WuPbNc6Orf3Osue1DomF8Xozdjn2x6v7STi9ZpHiLimG4OTaU9psw/vp93nJ54dveHdd9bHm87877PWHQpU54YKA7dPIxCGOWvTAWvJQhQ/Lz6Xe77Ev+rmiQxtw46xVMQvTGuv+qsqHtCxuVXorKKxs1fIKYMS+WlY+b7do/UPaMn67b7o81n1od92Hdzjo5XtN83Prt2+KOtVtcbs9rzo9rb7olrn/PpbF0/iALJDFWOe2YNS/OPdkNKuP5/uGrBKNioE/70DfoVTqiZ94iKTLzcsuI+owPuM/4WL6jLZwS3bP7o3fz2CX13bcqbv179Vdb18fKr9wffZNlNH7x1lizWQbquhWxQaIxu5t1ioiH/+7WuO5PblDfCh29sXrtg9HXdVzMVR+FIvIaDO5vfzZuvnOTDOt1cccH7rYCb5y+JBYc3xt3f1R9m/rW3nvviBXrtkTXia+IU0sUqbux4CUR93+trE6MhIe+GR/6/LrYLKNwzcdWxr1bJRuvWKyArljy2nnRofrc+CUZ1n0K/+jquH9vT8x9Fe/maTGnY1Os+bOVsW7z5tj097fG5789VK5lTD6m1/UFp5XnA8WcOP9XRct318TKCRrT/Y/JyN16f6z+r9fFdX9xO/PKseiCAeNzEF58frz+5VJ8vjbylmpmzBf2bIl1d46svo4Xzvu5/rOshvVG7wPi5xc3RH/3vDhLY+Har9wXvTNOigV+V+bFK3q6onfjmpHXocZp8yO71BttfTDuRp4kfys+e3usXnd/pp0QuuKbn7kx3veBj8TqzWrLvg2x4j5xpPsk9TTCzMMUozce/Np6/d8b62+7PW7/0jclE048Aaif4l14QKnvXRlrZBxG3/2xihUPyd+62zaI/xpj/HrMjyWnzo7ee1bEzUX+Vt9wq/SI2XGat0zl+9F7z0qvePTyftz8zTEnL0bHBGQ9Nsaam+8Q31mBvzVWta/K9a2L2z+2IlaPoHyfwizLzO44CiPwEhmVf/Vgfv876OCYsd/T7vMWqSffEKtvG1y7uXxr9K/r4/ZR3onR5HJXuYK+PR7IR0CXjIqF0bNlXdx5Z/ES5i17fczbsTZWfLysijxl6JdhV27BCD9JOVo9+j7/+bh7z4K4/Kbr49weyc0Dp8SS2ffGiuUjr+4mxpOn8eQx0S8Zuu7zej+2bopVX1P/X3TOifXXFaNhTAPpjW98YxxxxBF23D99kKVfXr5dpRPsmCKFgtk2offR+xQDPB79be/Z/Bd1e2Wo48VL4iYrOpfGqVaQu+KwNp2o74nm4797Yx1T4+ocF/7+LXHT+y+O+Ueqw/wcxpAjDAdbuVon0lwbC4/FsyuOal9B2tFXBLx5lTpiqggbj/6RoRf2ibxrvYy02stn56zGtodjwxizE4OxNlZ+bZMVRsa0/u+ujo+UbTunMPMpoPQl7RulVEFlGqcTxo7HD27pdiL8HYYDaEcNtKwKrv6SlIKHRHBHdyw8562xUHwZjxfjtWPf5zekQskAf+bJ5TsvDTQTVLIGwDa1q+P6Dxel/Zy5lu+YOdtbchKHUj7aMVbZGni9YrYlNo347RpKPdeZceo7Mv1NZ81x+o6pybsJY+i3QW3fJ82T8koxvfd9WZK9IT5/L60lRftVjTraF2uWvzvefYOUou9s8QrbzOPnxeJl74/3D51BG6Mc0OUtMqrLdZfGIhpUiuAdnxzDABiGgT5t/caH1WrixYzZ8XNluahP8jHi0P+yo1Sj/nhy9P0Zib1tw3YzqI/ye9O9Mvbn/OoVcVOzyuGtxNlHRZzgtt3yg5GnN6IHevSevaeklfP20SlTUz6ErtfJ6NtWvk8YDZLVAclZH+v/tS86uuCFZOdo8ebkpa38b7llacxlVVpy7Xdz2+Px4Ehi14bNvcpvmKyxtWyA7rFPA5sTZ//+O2NhpxT+P+M7qolh3W3vkxF8Y35v8o074rqPr4verpPi1DNKhAYvPjuu/J2F0SHF54bPD8+drVVXv/6k2HLn8hG3SI0X3kK7DEgBk2qUY+E9a2KjjNITfmaeZGxB9MzqlaE2iiI3Tpuv/fq9sWXmwrjypvfHte9aFktmSnn+xKqRja0RofFyy5Gx4KJr48ONTLLttsFdd8e9j8yMhb93U7z/PZfHsrNmxvrPtU+QTQBtfGh0inZFdwDIf388vLGd+vXxILsIZrFenOFbZCC00Kc+uNzuHyYg671bot0mamgfDycwRj1yd9yMEdgno/LzK+Kbj+SkTIOx39N58fqf6Y7eb9/pScMBzItFL22+LRyOCcvliOCkzqvj7DlbYtV/XT4gPy8+P86d36U63DaOTLGdsuGjxpx3PM2rJDJYb73mEk/wXvh7a6Ln3x0X933pwXjNdUnPh/94mfWLwRhPnsaTx0T/zoENeYnSn0+gv64YHWMaSM9W9D/E9jiU3wG3rn2CuwUpUB+8Jm783Dp/LN5xdHfMffW5cfm1o20rm1e2gHXE5q/e6g9w1wyY+s8KbP7U3XG/Vzv6YsNXbp/wwH/oIGOnbTUPni5+87lx7psX6+5A+bu/7QhYFVwRKz5xa9z4hytz1n7m3Jj/6gw9KPTdERvSQoqFv3SSO6L93l4ndJ1Vtrn1bYjb/+K6uO4zEznp79Dg0JQtpevLg9/D1XeNsB9kLPjbIFYYi/toM1zPi4X+4EbN9opLs+N/Ta7sdM05NbwW0T0n5r5sbszesiZu/ZN3xyVvvSxu/DITBDJ0Tz8zlrYPVqOWk8hDGjYH54r43bnzI7Fqvw3egs5p5WYC6B1ZjTsYzL/o7XE2W+z+4qr8KNtbqvYD/RvjdtK1u9aKcXec/Qq+TxiyLWccdHUMHq63rL1ucP5yI39kvj9YGzde2pbnqKdgSVF7x8Wx5IVS1P68ORjjAHHPo3oLOuLw9pXsroVx6W8viZ4tq+LmDw5sN27hxbntsuPbK+IDnxrBbB4vfEJYH2s29sbMExfE/FfOidlbN8aasRTasdr8ruXxbrZK3rkhHu2aE4vfcm28/3eXeJV9YuiOpe+4wFvs2AbnvO9sH7DXxvLfuyyu4jvaLYfHnDPOj2vff2UsGXPS7NCia/JTp04+FbLeu0MdVWuiFmz2JN/ApMHY72nXWUvilFmb45t/NST0NWf4m6VvjvTN0jhy2d7rdU0Zzs8551zhrWQbbvtA2wmUko1fXxAzv7sqPtL6Bmw05JbLhof7fyoy6IiO9nFhSrm2Ybx6yDcWXnR2nPDA7bH+5CVx0g9WxmVsG+3XuPT6ib8VY2G/5HHM/rpiLIxpIH3605+OJ554wo77g8Km3hwIZhwXc1t7J+fFMd4apU5i8/jNtak3X5CZx5wsEQRHRfu4yh5Q0DFzamz6HMrvirj9nzviqD0aDEZSZl5ydlz6B++Ms3sejOXvviTedumK2GBF+eSy9WAoTi4z45tj/cfWxIZvy2of4QUaDePRv1+4h9lAYRA/J4K21Y62WbWGd13HnlQGNimX/mijP7ZsWhetk+Kmd5Xw/VDyjDWRO89mx5xXD+xO73rdkjj7tYti0emnKOQA+bvf7TgEXV0jytFovBi/HfvijvsY4DuiawYBB7C9TjilrIi2TkDaTY4TxITloyu6iqIxra03GLvsB+NxbwObHT0jflPUhCvvvXf7PVzxiTuib+bhsemr+6M2jwEGapTO9tPv5HwoXudJcdrruuKEs5bF5e+6PK58x1K1IOiN9Z+9P/ki2o460TcTgg9peK+UwHWk7oq5rz1PvdcAZs5KY210DPB53gtmm5f927bE3zey1j230DgED/E1iBRsvxeHBifM6oq+b38xVqzbnH3yoHdM/OlVfY4e5QuSR56Mvo7uOLl8L2To/WlJwfGLYu7zB75PmBi6o/vo5psFteETkiy2VGeg0cWSt7B2s/jVeXgcN5LYtaF7Zlf07873dP+gtn2zFLWX9cbqG9oVtYlgcVx6/YfjyjeUR3A8vGn7nqJrbpx7xbkxt3d13PiBlcNXDWctkvG0OGbetyKuGcl4Gi98KNrb9tXdemP7YjtsFtZ/5b7YMvvkeP3LZo++vQ6M2ebdsfAN58bZp6qH//ytceN73+3ttB0vOS23x00IPW7/TWv5fi6Ja1c8u199dpz7htMivnpH3PrBa+Ld777D3xGddigms4aBvqsjjpvTLv/SU/R69219UPcZPvsFbeFdUqrL7f5hbFn3ODRTo2KbrLf30WNhU6/4+PweTxQluuKk2W3vxJjvqYyn+XOi/9urY8UQvWnRqSeM/M3SWHK59cno1zg0p82gPY3vYfW+N2bwzNdcGhf/wkwZR9fEje2G0CteHwt6xN8Xn112BeUBONHDoRxXxyH9RSjrqLMlb+VZ6Oo5Jrp2PqmRQ5hAPYzTL4izT5Sx/9E10a2+dsumVdHbtyHu39KvfnXo8RLjydN48jgOxuuvK8bEmK/bP/zDP8Q73/lOO+4PCg+tim8+gGY+Oxb+3vVx7R9cG++/qWyB610fq7/gWGNi89+t94wIW+jef+3Vce11Z+dydEHf51fHeiR5xrw4/4+vjasp4zcXxqmvXjJyZ/2dh2P3rJ7oOXVJvPNd58e55y2ME9g61L85Nnk2rTee9GpLTyxUectesyWe9Lur5z++Oq6+9sqyBWxiGI/+/ULfHfHN7xZ+Xi5+vuf6uODlBy72fZ+/O7fGdS+KK1W3a6+7IuvWe2986fO6fqso3McuiCveo/Drz/fv90wcm+P2L7KHXBTPvzQ+fP21ce37bypbr/qlON8eq1XC2PzdpI6Gq5SYN1wbl3K0KBi3HUfC7DjtD1QGMsJvRNEO/Zvivq+Oz4uJtGNrmx145P5xt9fNPhVa2txFi2JTOQyg62Xn+H25/nVlm9tEMK583BvomoQv+B29K9deH+efMhA+dtlr48vfIrHa4Y3vd/hNv9De8a+NO7yVsyO6X3tFXI+8XPf+WPKK+bH4dfup6XeeEGe180VumTp7Bmqo7fvOZwdWfeRuaI6z/+nF8eAXvhmbYMGxC+NKyVu2Nd+FCb2b4p72b+FGKWco1t+2OmVj9qlx9jmp1ix6501x/XXXx/uXjWJUGGqH3892ePsrMKb64v6vr5acfDM2FhqvuE7vxHUXDHmvaKeOmCkD6lChb2d/dM1ZGEtOzXfm8te1//bJulhz35aY+fKlcf7PSXHtPjWWXLFAb2TBl++Me7eo3c+6PJaguc2aF0suFl9/P4+x5fuE2Q98c9TvE1roWRCXnzUvZupv3nnLYsGxfbHhq6hd6ifWboz+7oVx8QXzFdolheX8uFK8WcZOX7XpRpmSCy9eEqd2d0fPz50fZ72sXa7BqVYgev/1m+V54mAW+9LXoqh9IFbszylsxprY+EPl8e8ujUVMqPC92kULYnbf/bHO31PMiaVXKGzmhljxgRXDtyKzsvQHGE+r4uYbVqdS1o7xwoehK+a9Xu10irh8ooy3M/UOb14fn2/k/tuid8vMmD27Lx78xzbz6J4tyrsjjjpOhmu3GDlmm/fGzJMlS68/N8O6umPBnO7o6M8tlIsu0rukvmxs/Ci271B3+zPLYuGJkkm16ZUy5hr0zpobC39ZRtIvz1WNJA+nz4nujoGtxWynjCOOsTx4HuugoL5rXZF/0dCl+iy6+Nw4ZdaW+OYdTOJm39eEz9T7sfR3FgwycCaOsWXdfUOR9XmzZkbPGRcnjxt0qQ+64NwRfzB6A33f5Lmx+IolPjRg3llvjwXHq8/52h0OH/M9PX1pLOjujfv+bugWYr5Z6h/uP55c3rku7u/TePtmaJExNP/8WKx6bP7WKo+jHFRx9Xlzo/fvbo4bm98ba/CNm+OyIasf4x/KcYCQjrp+c0ec9JplMV96KSfZvv0V3dHXGITj1CMxO5aeMSce/uJHvPL84FaZXDLmZqodT5rdEb2PDTKlhPHkaTx5HAfj9NcVY+Np3GK3OVb+6Y1xOyeTSVy6T+yO2dP7o/ehdbFyotsYHloRH/v0+tgio6Wruydm7rg/NjYzc6BvTdz45ytj3UN6yWZo8FQZHU9sitUfk7CWKIOxNm5W/PWc8PWyhbFofk90cITip26O203Pqrj9K5vK6WDMcq2OD31qbfA5Stex6si7NseGh9Bu9Dx9Al3kePTvF/rijj9bEWshplP8VPG9W5KWA0Lfqrjuz+BFn+vWPasjONp65Z/fLC4J/uBdbbeX3wxi69XG2OxVgomj76s3xjXLV8emXqnOMzWYca5p3+ZY/5kby5L8ePyVDH1hXfSqPTpmdccJsw9z2PjtOBK6YjaDMXIIGVs2xurlN8QdxB+PFxNpx9Y2u4gt97V3oCOjaza0tLnjZ8fm2z4Wd3xHstyh9u2ZqY66HCfeIeXFqcbCePKxIW77fPIaXvbM7IuNfItVMF7Z65cvz3BOZFN472ODGb3xUx+I5V/aGFv6Ul66Z/bH5ntWxsc+Yats4qD8dr7IdR93tgZqNZpMsAfvGzxIbP66ytS148WnxdkaPj9ww+3uD/qPyP5goM8pbdlgpHJGmvyQbKz4ahp/Pa8+NxaLjCdlcBhjfh+wJTZKHrr5TSZO/lu7Mj7E91uSkxtuG2iH7sm9lqsBbIi7H+iN2S/iKNlDgzs+KLl44oQ4+2Ipr7+1KA7/lmRZ9ekoq/lu2we6YuFbZNi+54JYsPPhnBwx1sfyP+God6W/4iZ/k7V45oNxx//gGNv8PmGTFIbB0jACHnk4+ue/Na6/5fq49Ocl61/6WOt7yL7P3xA3/vWm6Jq/TOE3xbVvmRf9X70tbuOgq8Kvvp6z4+JrZfS+7oR4tE1ujZe9QvIsfn99vLduKObHkldxuIgUygua7yCLG/N7pQa8c8tj9dYT4ly+oxRvFs7cFHfcnIe/8MH0Qr5fmzkvzr+pLW+5q89R+FmLYp7skQ4pVFe2hXGQjH9Vf7zwYZDR+Z1psegd18f1f7A05u3dECv/W/vPDKRsccjJ3e3fofStjrvv64+eX5bBfhFrEGO1eVPn42LJuxR207Vx7vG9seY29aVKOVvvfk9uCxgDG2L5f70jNnXOj/OZnHjjSfHoveVb2eNTHpZ/qTeO+9XL4ybk4U3HRe9XV8QN5WjrNWvvjS0yFi6+9op4/aDt2weGjR9/X6y4J+K0t1wbN1GfOf1x923va51E1no/Lrg2rtf7Me+JB9vej/3DRGX90uuuj6vPnB0Pt8v6y06Pha9eGAs4DnsoHlLfp7G2t/tsHxpw6a8eF1v0jn3Ix3WP9Z52xdmLZIhu/mZ8dsjkYn6zNMJWzHHlUuP6x1bHFtNyS1x/0WnSJzQWlMMfOKhCvaIMwCvb0srdeOkYW+SfCmyOFf9tZWzYc0osu+6WuOmKs+O4ravjY3/RGIRj1yOxJVZec1nrR/fXfuaOuP/5S9W2V8bCDhlanx3eJ40nT+PJ49gY692tGA+TFixYsK/cVzzb0CVj4NRvxmovSXfF4iuuj6Und0TvupsHH5tZ8WPAnDj/j1kB2xJr/vDAj5Q+KDyl8qFB9jVPxuov5yahORe8P658tRShYb+4/tzDyL+DNPB7U0PR9epFcdq61TlJ1LU4Lr+OFc3eWPcXl8XN35Cffz1+YTz+8afrl9WlmHb1DRyJ698JOy0eHu+X3V8jBfb1Ebdfcl0aBG0Y9jtIs9aM8Q3Q2GALUvtx24uv+HAs7Vrdym+RFPWl01fFZX808cMVnpvoUrvcFAu3Dv/dvEODeXGxFLKef74u3t38NlnFjx9jvKejo1tG/7Ux976r4qohp9pVVPyk4mlcQao41FjyjnPj3Auu9xamq699v5VfZjDu+2o1jn6seM2ygW15m9cf+Mf8B4mnUj7mXqS8z7sybrpWeb/n+rgC4yj6Y+M/5haO5yRetjQuFS8WeT9ab2yZ0HkU/NbJuXH+dWw7vjqu/eOy3VOJ12AcgYdWxm1f3hJz33jpCKcgHXqc+lvXxvVXnh8L27eJDV1lGAlfvi4uGap0sd991nx/a9rXewgUq2PP9lbE3J7XFd2vvTQWnyxj9L41Dma7zpI5W2L1/6jG0ViYeeLcmHvGW2NBT2/c95WnwjgSTmVr5vq447ZqHD2jMNJ7Oi42x4qrLqzGUcVzCtVAehZj9efu8LYytjD1SJnp790Uq5e/7wCO16w4pJjd7W15sW1j3DFoS8vTi6dSPjZ85rOx+oHe6Hi+8mbbWNkqOdKRxc8ZzOyOk1pb6G6Pj02Iz6vj9r9aH5v35Ba/7q7+6H1gdSz/k+WDPppny+KK+46LReeMeJTDIcW6j98Wa3bKMHpP2zaxv/jI4C2JE8XLLohrr1sWp3ZuijV/lUbMQeGR2+O2v3owjjrj0tyS9KaTou8bK+OGT/GWzYmlrz0m1n90fw9XeO5h8a9fHpefMzf6JyynB4B1nG53kKcAVlRUVPyYULfYVVRUVFRUVFRUVFRUFNQVpIqKioqKioqKioqKioJqIFVUVFRUVFRUVFRUVBRUA6mioqKioqKioqKioqLgGWAgLY2rfyxn3h9CnHP1s5v+0TBSvU6/NH/RekK/C1JxKMCxyIf8V8MPKTjKuvyWS0XFKEg5Hu03e57DcJ/6TH6/DxAj1usnYLx/toFx/Bn+3vEzADe9o0pExRiwHD+9esYEDKTSobW5Z70iZEYP6bhH8nuG4rnVmaT8DatvMdSeGbI4+B3Zr7b5MSlHyFD7O/1Mkn0r0s8pAzwNzMHtka6RpeHtNYKclQFkJN6lcdKWvl1BbdKNGD68/3829T1PTV+ZPBnc94zk9wwF7f2cMVDKuzXsnRhlXPmxYMj7v199349ncmpYf/JMMsCeU/KdGN4exTV8GLOPL2gmv0fiXRPWcm3tPSwM1+gTI4xtz6KxfRwDicotjtn3LI8LL7yw5a75VAk+JFgZ15DvpTce2DGyFU8v7roxLqG9DvBHHvcfko87N0XXy88sL1xi6RnzomvTqkMsiwcAdw6D35Hb4sxDP1hsezweLLeHDOJfQ/OqTT2x+DlllDyTsDZuvDTb4ULJuhomVpV2af8Bz74h/fDQH/dcenJPbLpzVWzqmTvoXWFwXPbyLa087Yb2t9vWx/JRw/ti/UeL/0fXR7x82QEpZGs/eInyeLp+7LbimYmne7zXu/XJ9dHXs3BQnzz/HQujRzJ/21PyA7n7Awy1ZTHvsYG++ML75j4FBs+W2Hyo37u2PoOfjpj3pueWUfJMQvattIX6fz3zI+V+bn/Pxuzj9U688qSIe1bF+jgpFgzSXySjF82LLU2edkP78YExK93gH0Vv0QN9PYsPbGLiU9c4j6dT55tariPj9AVx0oy+uP/rY3UivOCLw7+NCFC6rDxjXC2Lkza2/0r3YD+s3mUvL7982ErXgHznxoaPPh4L1TiORQO3Neqg9A2G5XMAwNo+eUMs37qwlT/KSbtCMqxsKbADyHrOm1EeB9GUYUd97cLYcHL+4n4qIAMCNzTv/EX+If49y2SNL8v7QfmP1h7CQdaL2dikd3i6ieTdnr7BsHxGwqe+GOtftSwW6qVaSVwZJQt74NlAOw/Ou52fA/xuXizXsfVL/uO3x1hoDLUL2+qw9oPXtHU8o7XHYP/Ft6hs3w0vm85vZA4NkTN3UoM7poli5X2bYvGrupUjKgUYQveQd29YuEDH3NA01nt/0EDWzhgouXk/AG17nkzUNbOWteShPXwkuls871G+r3q8rZ7EXRiPj/puDm2rMfJ2nMHhE5L9CWNpzNU78fidK2PzpltiLgpWqTOGE3J3IHIxDHdtji3qjyeKYf3JIH4gF+dFfHJNHHVRw5chMswERNP/tzC+nA8qd7S+cmje7WEHBdp57LFrqAxTp3YM5tvg+tLXLdy6XFJ+XivOmDLelD2ovj2xTH1OcqU9/yF9yiC6D65eg+o0jNfj5z1cloSJtNldN8aaM9S/nrFU98RdGmcqn013jp730D5lYLwQzMejYk3h2fjtMToaQ215ex2kCF5TbhVj1PYYNOapfreckbfD+hUUy1FoGave+4O1X78/znv5UXEC9+k1xpgMhtRL6NuaV9M05/7hbT/E78Ax5P1ol6GD0mNOUL6Dx4tGNlrpxxi7wOh5k34Izw5ZfwXmx4I5XbHlayvj7lgY571SmsBdDc1zxSv1EQcgF8PxYDy+LYKflZ8QhvUng3mGXBzweN+SxdEx9grSXXfH/du6Yt5Foy+fLr1anVrLakzrMGc/1sbdG/uia84Csb7BCXFUm8HVWL3L7xntl+R6YrE7opL3jHlxZjOzok7qvJeHKpplr6IfHtrRHAxUD3eKlD10BUONNmhG1rO+A1h6tYS4NSO0PNYfPdxi7lGHxouTtIvHdN7A9Ro829s0dsMv6spL04S3vySjt0fBQdRr5TXpb16PhHHyXtzDQEwe4oleEl7wiSmIa+PGrw3kl0bJmpaA85IsPlptX+j2bNZF+7dlbNT2GBMoparGfaPL3OjtUWZSP7per2vDF9zEXlww/x3nDZ55HEdpHAso0X0b7y6DDx1x+6oYP1o6L5a1VphGCKc9jRHe+wlNtEwU6vA0gLXqLDnrOWNwW3e9XMZ0aUv6lp5XDcxsLr1anSUDC2nNezrUCfJc7+aZ6oybsofOmo6d91CerYotB7gSMyIYxLbdH3errAe3qs4nD3AE45d385BsbfBgKUNstD5gCAZmNgd4MhiMLygVGWfwSqZ49iYZYw3P3B8xuI0v5+P3lZIjKeIDs6IHMbM5IsYeu246Y3Zr7BrGlyH98PJ7ZsfiIdtekPGmrx1Jxgft+miUymb1Hz4yVjbhbf3G/HecKYO18c/3/rxBPDnwev04x/uVd4qWsorUGCVfbJSoEca9njP2b8vYWO0xOlIpHeh3h2Os9sjxOPtelMKMM3xleVSMoWvsL1h96Nq0oU2Oxh6TB+tIg3UKjK2+Ge2rGOPzaX9wsDrSgesx44xd4+Q9Eb3ygOExelNsUPuv/cGWweP3pzZIQ9G7eSi24buciC0/mGBLllWjdGqr4t2O9vF+KE8ParwXxtlil1s/Urhz/+DQBll5TftgtTI2qAazn59x1n5wjTq5NkFncG1TbMdH+2A4OG+/kEUhAFYCZuQMxiFBe+drAZkd3a6HBu1XsZVltEEapVlC3uq4i3I/yFAU2gTftB+ds/eJnpwBPgCM1R7GAddrAhg1b3HFs9hNB5pK9OA6jwO9KChPC6++OleP7myoLLOBXxuYWVr7wdvUuewnD8dsjwPHuO1xsBi6nWp/gNJc9gUzmLW2m5xzZsxTZ7mm1ek321RKWYRrqB5te8rQ9z4Hz/1578eCDMt2pWiInBltbZmDbdMvDDFoPQG0H+0hBfOatjrvV94MDIN4tjK+iCLVZsiMBwaC1j5uufZBvd3ANV3tcuFBJhWBTDvCQCdllBWFVv6DjCmMmOJ/RmgAn/gAMxG0D1iD3r2hhrXbuiuOGjwdeEAYpiQjVyhDQ/vpA8boYxcTPHHPbaPyMLdKDvQbw8ZR0NbXDpbDxIHWg9XvAbrKZMes9pwPvF7j4ykc7/Xu3oYeI+Vp8HiR417fPV9s8TvHmq44iVn0iWKc9jhQjN8eB4sD1zXa+wwbmK1+eZwxWYbZwkE60hCw4tfO/6K8D4xHB4cD15Hy3TxwPWbssWvsvCeoV46FMfr4QQYudA3qb3Iy15NXJe3wib2BMLshEzpMQNv/opPi/o8euCE+ItrG+8E8PcjxXpjQKXatWUBZYOw/HzR4yuptMUVu8PIgwjcg6O74x5ht3x9g5UZbIw4Wrh8jTu9W8wwRliFLhGAQH1Bg2mf5bAWXtCN9MDcWxmyPHx+Y1R5Q5g9sRohZwOhRhYYNwhOf0R4No7bHweIpbA/ey/ZOa79nk5qZFbnlG09S59mmOB/UN0/t7z1tHW0G7cGDbQgDPB26fD4Wcnm/ZZQMVcDHBatAbWW3tiuBcfLuOSq6hgxQw7YLjYNBKyFy7dsI2F7XKssDwVDFp6xYyqXMDJkhRyloy3vw1g0UV/yZwTsIhWqiaJRLtvOJwy1FqWz1YJbzkOCxzYfmHT+kmB/dR0tcmv7fbriMD+o7vTI0oPStvGZ5rviW9Pu1SskqUKvc/ZfRpwqHYry3oanxgxnloQrahGe0R8FY7XFQeCrb42B1jfY+4062ibf3KQc3JmMAN8o/ynu0G7AHi4MYkw9Wjxlr7Boz7wnqlWNi1D4+yxrQgQbr7Q2aHUS5SjNU32hWvooboj/lCqf6pW3D8z30aCbRDna8n6CB1IJeqNtYHm/N8LGkzmzXAGOGbr8aEPS0gA/Z4Lbpcb2CAzObXpocNKiPAacdAYfsQ/ghwoLbH4XbM76Fn49poJtoxzWB9vhxwQNc6wVfNuYKxKiwwjTSYDZ0VpmtnOX2KcWQF3Aonob2aHVaUl7ZsnWgS+5WHtpms4bNzqLgl9uJoPXe0ynFwMzvwcJbN3jXCz9HW3YfGWtj82O6NCspMnD2Z8Z7KVscJLetQWbQFqIJ5D10gMJNtM8aCzYc2lZ5eL8k/6PJ5cpr4NmBrMSUVa8JbR86CLT64Xy/WitnfpcOkeIJhsz8zn/+RHfGJ13DcfATNQ3a+4x0+7Nqlzs/nE4yOlvKzMSMpNx22NrSKDf6drinGQcz3reQ7da3dfgoP3hWOY3Upx7ZZ4y+CvA0tMeB6hpDwXfCUn4H+pSDHJNbqxg5wbY/Su2YOMgx+WD0mPHGrvHzPki9cjTYcFDJbZMyGI2jyqVXWBW+3yuZZdWrfcviU4KmHz648R7sn4EkdmFpDp55axsUvIey3DewoEvZ0iA++xDOAuRyfvuM6n4MnFa022dCyzL7hGYCkukDVmm+cC2U2dtDdSKYZxWGAL/RO9Vx2mNUjFOvg0Kzfe8Qv9hGLpG3K23Dt8+0DYDiyaGbhcsXnhewXQGZ/46rR55JG6k9hsnigWI0pW1iSJ4VQ8bL1D0+FCMxZBsKykr7bC6Gw9DBjwFTXfx5bzoptrRttTgkaJvI8B7jcj8uJNPe2tHqM0bYr98yDFktGiHvVt+n8De1rSCNl7f7waHfcxwaWLFvWw20uxO5bNtm1479/I6oHbndq+3bkIJmZnS/ViuGQQqh+pxWP1y2crYblfu7NWO0vjK3QbXXY/i2oNExpK8UBr0/42AwTakED/RIubVm6Hd1B4wyqTQIQ97foWhNQEmmz9uPvnLseh0cDmq8HxNl29qg70yGbjEW2rY6Hcp6+duoof2Cxon292js9hguiweKkXSNCaPwLCfAxxmTh4x5aTjk/QCYjOEbz/PipMcO1fbsBgeqI01EjxkwDEes16hj1zh5H2K9chCY/Bw6ecfk36h9RG5dG2miYVzYkG7XLQrUDjZiDrJ+5mnTD09kvB8HY59iB9FDlWQG4mbm5q5yOgyzOhfpWUxev6knTsrQAgT9plh2Bh9YthOHAtKuWGHlLR6c/xigY1l4UdvpRAbMmEjHuTKu+Wh33ATd5eQXlztB5jEDO1e0ml7KlDAtfFOG0WHdeGm4bhmeGDiJZGzwUg1W4KnT4JeQ/bwLlD9bKFz7hmcTao/RMXa9NDDIvyUN5WSoidULQ+JM8bqN34CX8hAYSqyiiLgBfgzimcr+5AK1dZEVlbmKj55nOfDgwQxc8J4M1M08cYc+sffjmjvntqVnO9NEZouHvj/Cfsiw4ZmVRkbbecZ2LFja9n61581K8islp6Ve1HeVOD83QwtQPM6LeS/fcmCrxoNoE4qMo6CfKf+mrfvuWR+beiYo4c37obRtOQ/IMDNjnGRYwn1k9hkLM5KQfc4AXZtUdt/Lj/L9uHmPxFOBAXGiSn+upAykzbwjt0d8bUivh0F2xmIpIQy8Qw3YEWSsbP9r5T7qu0l/vlD9uRR48Wv8vnZ8eOay/d1p5KycXjmILmF/eDZWX3lJXDpoDHDZE8yXbWzdg/r44f30aBhME22xKuKigbeHrbPBONAuSxPuK4f008Kweg15f5N22rJp24Ynm2L9PX0xb4J95dj1+nGO92NjOL/z/WjyHVYv0TL7jPLeHyxacjikr/UxdhNrj8Hj9pB3aAxMRNcYE4P6jME8G3tMHjLmqb7LVc/zHDYAJjHOe/k8n6y23xitP2v66QPSkcbTY4bXa9WmxdGMIGOPXePlfXB6pTEKT044mUmpL6qENmCQvWmet8PNf+XA6YwNhpebK18DlI32bjb1PC8uPV33h8LwbdcVWvwSxh2Tx8ekBQsW7Cv3zyoMOz5R8BGJUtUm0uFWPJ3IwbH9qO3G75Ad/VzxjIMHYE4Deqa8j6ejiAwcz2vYjw9HD/Lggacy758UDOPRSP1CG5igG3TsuuBJOw6KOHjFuOLZgzrePwcxUp/6Y8VTqcdUHWl8MPkzws9ujKZjHIIxeT+32D1TMNIe4YNY9qt4ijHC/uOy7/VgP46teIZCHZGP5T2EhzMcNEb4jsqn98Qh+BHFpzLvnxD4eP79+M5zpG+C/HH+IftWtOLZgTreP/cg48BH/B/CwxkOGk+lHlN1pPHgbZr7M54egjH5WbuClJbg4L3A+7XcWPH0YoTtmvuzVabiWYK29/KZ2L6edR4khodmmw54KvN+diJnQAe2VQ3lx0izpu0Yml5o30JR8dxBHe+fI2h75ye4/fJpxVOpx1QdaRgGj6m5jbN95We8XSoHOyY/ew2kioqKioqKioqKioqKQ4xn6Ra7ioqKioqKioqKioqKQ48xV5Duuqtunq+oqKioqHgu4/TTRzkTvKKiouInFHUFqaKioqKioqKioqKioqAaSBUVFRUVFRUVFRUVFQXVQKqoqKioqKioqKioqCioBlJFRUVFRUVFRUVFRUVBNZAqKioqKioqKioqKioKqoFUUVFRUVFRUVFRUVFRUA2kioqKioqKioqKioqKgmogVVRUVFRUVFRUVFRUFFQDqaKioqKioqKioqKioqAaSBUVhwCTJk2K3/7t3y5PB49bb73VeX7jG98oPqPj3//7f2/X4IEHHnBa8mjwn//zf7ZfRUVFRUVFRUXF2KgGUsVPLBojo3HTp0+Pl770pTZkfvCDH5RYz128733vi8997nPl6ZmBxx9/PJYtWxbHHHNMHH744fGa17wm1q1bV0LHx4YNG+LMM8+MGTNmxNFHHx2//uu/Ho8++mgJHcDevXvjv/yX/xIvetGLLBfz5s2L//E//kcJHYyJ5tmOFStWWOZIU1FRUVFRUfHsQjWQKn7i8Z73vCf+8i//Mv78z/88XvWqV8Vf/MVfxOmnnx59fX0lxrMbd955p91YuOqqq2L79u3lKfFMM5AwWn7lV34lPvGJT9iIxYB55JFHvDr2ne98p8QaHf/6r/8aP/dzPxf333+/63b55ZfHF77whfjFX/zF2LVrV4mV+P3f//1497vf7bCbbropenp64s1vfnN88pOfLDES+5Nng23btsX/9//9fzbwKioqKioqKp59qAZSxU88fumXfinOO++8uOiii7yq9M53vjO+973vxf/6X/+rxBiOJ598stw98zFt2jS7sTB16lSvlDyT8T//5/+Mr33ta26jq6++Oi6++OL43//7f8eUKVP8PB4wYGi31atXxzve8Y648sorY+XKlXHPPfcM2m740EMPxZ/+6Z86/+XLl8db3/rW+PznPx8LFy6MK664Ivbs2VNiTjzPdlx77bVxxBFHxOte97riU1FRUVFRUfFsQjWQKp5zWLRoka8YSeD888/3VqiNGzfGL//yL1u5Pffccx2Gcvyud70rXvjCF0ZnZ2f81E/9VFx33XWxb98+hw8FW6uIgzFy2mmnxd///d+XkMSDDz4Yb3/72x3nsMMOi+c973nxxje+0d8NjQRWuX7zN3/T8Y488sj4T//pP8XWrVtLaGLoN0gjYeg3SNxTt49//OO+x8EHMFEa+/v745prromXvOQlri/xXv3qV8ff/u3flhgZ57777ovNmzcXn9GBgfT85z8/Xv/61xef8Fa7pUuX2pjduXNn8R0Zn/nMZ2LJkiVeDWrwC7/wC95WiVHTgLygizo2oP6/9Vu/5RWju+66q/hOPM8GrHT92Z/9WVx//fU2SisqKioqKiqefagGUsVzDhhCAIW+we7du2Px4sVx7LHH2gB6wxveYCPoV3/1V63w8g0KSi9GA6sMl112WUk5gK985StenWK1im19P/zhD53un/7pn0qMiK9//eteJXnTm94UH/zgB+Ntb3tbfOlLX7KBM9KWP7aa8Q0MBg7GEQYYKxOjGWgTBVsOMfhYNeEehyEGJkojNGEg8Z0Q2xfZtoYh0f7NEKs1c+fOjd/7vd8rPqPj//7f/xunnnpqTJ48uFv62Z/9WZf7z//8z8VnOCiH7XiveMUris8ASE/eDbhn+xt0tYN4oIm7P3k2oP3hB4Z2RUVFRUVFxbMT1UCq+IlHb29vbNmyxasDn/rUp2y8sDLCykADVidYJWHbFIYCH+L/1V/9lbdWvfe9742PfOQj3pKF33/8j/8xbrzxxpah1QBD6Itf/GL8wR/8gb9BYfUIQ+YP//APS4zwNzb/+I//aMOCrV1/9Ed/FH/913/tVRtWK4aCrXMYJ5dccomNkD/5kz9xvmwJOxhgxLHC8eIXv9j3OL7LAhOlkW9xMATYpsb2RYxGvh/i254DAatM3d3d5WkAjd/DDz/s60hoVqhGS//YY4+1VqCIy0pV+4oaGFrO/uQJ4AffgmFIV1RUVFRUVDx7UQ2kip94sCWKrVpsk2NVhO10t99+exx//PElRoItVu3AKOD7F749aQdb7jB8/uZv/qb4JDAw2FbXgNWU//Af/kOsWrWq9V0LhlkDtnmxynTSSSfFUUcdNeJpbZzo1tHRUZ6SRgwbaHuqMFEaef7Wt7415gEKJ554onk12vc67eAQCVa1hqL5dmroIRPtaMImkn6i5exPnhzY8Du/8ztebXvZy15mv4qKioqKiopnJ6qBVPETj5tvvtnfxXz5y1+Ob3/72/Hd737X2+nagdHxghe8oDwlWDE57rjj/E1SO5qtWYS3g29xhoJvVdge1hwLjULNilLzTdPs2bNtvHG8NStdQzE0T4w7Vi9G+2bpUGCiNLIShx91POWUU7z1cP369SV0/4FhNtJ3Rjt27PC13XAbiiZsIuknWs7+5Mk2TFYpWXWrqKioqKioeHajGkgVP/HgexFWkfiGBuNm6DcuAENgJP9DDbbKsWWNgwf4yJ8tWRhvfA/FMdfPBEyURo6/Zpvhf/tv/y3+7b/9t/HRj37U3xBxPRBg+I10mEPjh7E6GpptcKOl5/eLmpUg4n7/+98f9h3X0HImmidGIyfXsR3xRz/6kY1XHMd9Uwb3fMtUUVFRUVFR8exANZAqKkbBCSec4O9RnnjiieKT4FQ2QHg7RtpqxsECXV1dXoEBnNT2lre8xcdM8y0Tv6fDyW+sxIyEoXmidKOcs3XtYDH0G5wG+0MjRsIFF1zgH1n9l3/5F//gKoc3HAh+5md+xlv4hhqKa9euNQ9ZqRoNbJeEx9/4xjeKzwD+z//5P867Afes6nH4RTsoBzRxJ5onpwrSLs0PzzaO77Uoh3u2SlZUVFRUVFQ8O1ANpIqKUcABBHw7xOEI7WA7FcYFv6/UDo6Hbv9GB4OBI6XPOOMMf8sEuA5dueCHStt/e6cdHIDAd0AN+JFbTtwbWvaBgJPcRjJ6Jkoj3ya1g+1/fKvUviVtf475xhj7wQ9+EJ/97GeLT3jb2qc//ek466yzWitAgJWroYdkcPLgHXfcYb434IALjFQO4GjAd2F81/WhD32o+ITr++EPf9hGET8m3GAieXLyId+0DXWcZse3StxP5BS/ioqKioqKimcGqoFUUTEKUMpRcjm+mpPtUKg5YpuT8C699NKYM2dOiZlgmxnfNnHqHasJHKEN2r9L4eQ8jtTmOGiMH1ZfOEq7/cjxdvDx/2tf+1obaWx9+93f/V2v5nD8+MGCAyX+7u/+zqeuffKTn2ytoEyURg4jOOecc1xXttVxQAGrT7/2a79WYuzfMd8YSAsWLHB5fN8Ev9kWiWE29NseeIJrBz/iykoTbYZB98d//Mc2Yvg+ijwb8K0ZdePbNNoV2mnrNWvWuC6NMQsmkifhyMVQxyEd5MX9/PnzHbeioqKioqLimY9qIFVUjAK+SeJYb5RpVhG4csjDBz7wgRGPcv75n//5uOGGG2xccMgB28846Y5tZw04Hrz5PSNOw2NlBSOF1ZeRgGGEgUF+nASH8cGq1Gjb4/YH1AEj6aqrrnK+rE6BidLI6X58X4PRwD2/A8W3OGzNOxBgTHA6H0YXBhmHPnBABEet8/tT44FDJaABwxVDEmOHVUC+n2pffQIcl/6+973PJwxyfDv1uO222+LNb35ziZHYnzwrKioqKioqfjIwacGCBaP+4mT7L8pXVFRUVFRUPPfQ/EZaRUVFxXMFdQWpoqKioqKioqKioqKioBpIFRUVFRUVFRUVFRUVBdVAqqioqKioqKioqKioKKgGUkVFRUVFRUVFRUVFRUE1kCoqKioqKioqKioqKgqqgVRRUVFRUVFRUVFRUVFQDaSKimcA/vf//t/+bSN+aHU8nH/++XHiiSeWp4MDZf7n//yfy1NFRUVFRUVFRUU1kCoqniJgfEzEYRxVHDp86EMf8o/qVlRUVFRUVFQcCOoPxVZUPEW47bbbyl3iv//3/x5/+7d/G3/5l39ZfBK/+Iu/GBs2bIjXvOY18elPfzr+43/8jyVkZPT398fevXujs7Oz+Bw4duzYEVOnTrX7ScG//bf/NmbPnl0Nz4qKQ4T6Q7EVFRXPNVQDqaLiacJv//Zvx8033xz79g1/5VDmJ2ogVYyNaiBVVBxaVAOpoqLiuYa6xa6i4hkEVob+6I/+KF7wghfE9OnT47WvfW3cf//9JTQx0jdIn/zkJ+O0006LI444Io488sg45ZRT4sYbbyyho4Mtfu3fID3xxBPxzne+0/mzQnXsscd6hWvdunUlxsh48MEH4+1vf3v81E/9VBx22GHxvOc9L974xjfGAw88UGKMDeoNvdBNvY855pg488wz4xvf+EaJEfGxj30sFi1aZJqg7WUve1n8xV/8RQlNQPe3vvWt+MpXvtLawvjv//2/L6EVFRUVFRUVFeOjGkgVFc8g/Mmf/Encfvvtcfnll8fv/d7vxd133x3nnntuCR0ZbNv7tV/7tZg1a1a8//3vdx4YBf/wD/9QYkwcb3vb22x0vOENb/C3PNCBwcMWwLHw9a9/Pb72ta/Fm970pvjgBz/ofL70pS+Zjr6+vhJrdFx44YU2zF74whe6Dr/7u79rQ4n6N4CuE044Ia688sr40z/9U8fFKGNVrsENN9xg4/Lkk0/2Vkbc7//+75fQioqKioqKiorxUbfYVVQ8TZjIFru5c+fGP/7jP8a0adPsj7Fx6aWXxr333uutY4AVJOI3qzMYFqyuPPbYYzFlyhT7TRSssFx99dWtVaSjjjoqzjvvvPjzP/9zP08U27dvtyHVDowbtubw7dWv//qvF9/h+PKXv+yVoXe84x3DVr3gFTSCkcpglek73/lObNy4sfjULXYVFYcadYtdRUXFcw11Bami4hmECy64oGUcgYULF/r63e9+19eRgFHz5JNPeiXpYEFea9eujYcffrj4TAzthguHSPzwhz+Mk046yfmNtz3vM5/5TMtQG4rGOALtZfT29saWLVvi53/+580bnisqKioqKioqDgWqgVRR8QxCT09PuUuwbQ5s3brV15HANrOXvvSl8Uu/9EveXvYbv/Eb8cUvfrGE7h/+y3/5L/FP//RP3r72sz/7s15ZGss4a8Dqzh/+4R86Hd8HsYLDd0SPP/74uMYLqz/HHXdcHH300cVnZLBl8Bd+4Rfi8MMPt+FF/my3A9VAqqioqKioqDhUqAZSRcUzCKNtkRtpW14DDi1gW95f/dVfxa/+6q96yxrG0lve8pYSY+JYunSpDaKbbrrJRssHPvCB+Omf/un4m7/5mxJjZFxyySU+XIL0K1eujDvvvNMrWhzWwAEMBwuMKA6sYNXo+uuvjy984QvO/3d+53ccfijKqKioqKioqKgA1UCqqPgJANvyzjrrLB+sgDHxm7/5m/72Z+gJeBNBd3e3V6U+97nPxfe+9z0bORg/Y+F//s//aYOMwxM4ppyT71796ld7BWk8zJkzx1v6+IZqNHz+85+PnTt32gikbr/8y7/s1aSh3ySB9m15FRUVFRUVFRX7i2ogVVQ8y8H3Pu2YPHlyzJs3z/cYFRPFnj17hm1VY3WKlaTx8mHla+gqF6tQ5DkeODGPtNdcc03xGUCTZ7Oy1l4GtHI4xVCwBW8ihllFRUVFRUVFxUioBlJFxbMcF110kQ8rwMC45ZZb/C0QR1v/zM/8jE/Fmyj4DaTjjz/ep+T92Z/9WXzkIx+Jc845x0d4c4z4WFiyZImP1OZEveXLl/uwCU7gY/VpPHB6H6fcEZ+VIa4c143h1BzhfcYZZ7RWyfDjKHB+9wkDbijwX79+fVx77bX+fajVq1eXkIqKioqKioqK8VENpIqKZzk4lpvfDGJ7HVvjPv7xj9uw4bshVpMmiq6uLqfneyZOlOP7nv/3//6f873ssstKrJHB8dz/6T/9p1ixYkW8613vis2bN8ff/d3fxYwZM0qMscFKEN87saXviiuuiPe9730++OFVr3qVw/kBWrbxsX2O32b68Ic/HMuWLfMR6EOBgYihxYETGHbvec97SkhFRUVFRUVFxfiov4NUUVFRUVFRMSrq7yBVVFQ811BXkCoqKioqKioqKioqKgqqgVRRUVFRUVFRUVFRUVFQDaSKioqKioqKioqKioqCaiBVVFRUVFRUVFRUVFQUVAOpoqKioqKioqKioqKioBpIFRUVFRUVFRUVFRUVBdVAqqioqKioqKioqKioKDgkv4N04k9P8nXy5LxG7IspkydHPil73UzS3549+2Lfvn268jw59u6N2Cs/7DTCYh9x9vrHIEm2d+8kx580SXnZb59/+JK8pkyd4vKmdnS4rL3KzHHIzT+OqWddp0xV/Ckqj7hTFK5rh9JO6Zga06d0xlTymTpVflN1n1dlHx3KN/NS3Cnp8nmqytMzeUxROSpz6iTSqBz5AWjetWtX7N7VH/27d8fu3XtUrz2xu1/3u/bErt39sUf0Eg+6s45ZV0Bc+OC/vckzMGkSvNsd+5yG+uInbkCD6ObqNlC8fXunKI7K3NPvPPbs3iV/GL5PcSeLvSpbfzAafk1WEVPEH/6mTukoeYl/qmMH9acw00Azkf8e2AQ7FQb9avPCI/k6/aR9aX/vFR2Ei0uhmqvuu1WPXb5CY/+e7a7vHt3vVb7QST0mQZQwRfeqse9NsfKGB5IC2F5oSj6GymxkCfnZu2eKrkq3h2fFVxr4QT2VswJ0VQaTldE+peFKGzc/sEo9AFJHu+9VGbuVoaTG/m5DtS/todjyhRcOsct2Er2qN3HNd1dF/yke/KWoqeLdZGQSuYJRU3iHxAcqmP+cT+adcgEm0xaEUmWV1cgTDtkl371KNG3qND9PmTxNTu8M9dUf74XpmOqMM3/lCcxPwTzwLVzQswiGbZYP0cz7SfsQhf9dPknsQXvs1TuA3O6L/n5kP3lBHaAXfvpquZcMyE2iAKXf4zgq022od2cXMpPp4OlkychUvarZbqqzaG3aDllq8cM+hEM/d5KzfcrLvEx6IDjlAPmADcgZMtPIhuRCbpL4SARXj/LUhpPoC5BZeCXXyA11hn54R5MhmypN8qP3Ux7waaryox24n6z2gv2TFGZeKDHvPAzgXclss068b66rPElLmdR8oB/OviT5rLJMh8J0nSwZmKyOES6mXIk++hx4pbjUPXlHEupIf0f9oXxydIrp9Dld02aof5A80Y/CG1PgJM6Xuk1RGvrGvRAgv7xSMhV1C+hPdJY/4lC/3dDCn/KifPp6yKEK9Ankn9ykfrudL+mgG1khsmJleeSF240s7o1d6ov71SfCZ/oy+hPaHj4hr/1ytJkZoHLgaPM+AfNNhOG/W+l3q40Yy0i/m/6NPkFZcC9PRMNlhNpQb4GypZ67VYLo5JZw5Bcx0rVDffTUqbSNChCP6JsnT5PzM22j+GqJvbtFz76pqmPx2zfF9dvXGjuz/tQH+qgONAL6HsLvvftHfh4L9XeQKioqnmvI0eygQTbZQTMuxR4NNBoX9uzWYNGvK45xgIHXf0BX3+STBzw5K4wKSIUnnx1PnTxX/CYzWMhZQZBno4TirFhrQEGJIw55WqFROSLPg0aWnelcvOKARmlMpYSKZPyB5xx0SMdgh0KBoZMDZFHu8Jdzjrri9smfQbgxipo8cZCTtDA4ZnOgDEzGsCv1wT/rlfFAczXk73pyhX9KT/0bB4+mYABakZkqhSPby8oOynIxCFACaUuuKExJK2WZ8co30zUDumJZmYM2YCVMz6lkDCh4YqmuUhYkD8gEYTwTTxfRU+gudXU9NPiTLuuMfKCU4qSUK85UKWvNAE9Ep5FDGTA99m9AGHxo81adXDc9Zz2laMN35Y1cNfkRH3kiseXFRGU+2QbpTEeRw2yvdGk0Ztsih5NUhzS64fnA/VQMGBRM6mjO0jYlD2gnLlf5Y3i67YrCjq9KtVLElfqjvE7rmCZFK91UKbQoshhK06zoEjP5QiqXSR38hPJOdZIvrqLDdKEeuiedWkWNKCelDBlp2JN8ySst7KschtFeFGLd40qxliuyoz2tCPq9dRalLKWXQk0anpv8qEGJVf5ln9DEsXy5Hgos9FFsI6c4MHCvODzLKYqSpHFp52DV04TxDOH0F+rbVEg/sq5MuG/kvnnfk6/Kj0wF6HQfUQSStuCP9nXBpjv7BsdzctJmevybPA15pPKdRlMjNzjkAHmgf/UEiPjY4q9c8pd3nYyKXNFPyCGTyM1UyREGVcob4cjipOhQv0Eb0H/I1+Rlu8iRoZk4UH/qxwRUB3nKUJ+qPKfpvlP5d3Z0xmGd032FZvqpThlEdtMks4pHObz3UylPdCDPPENL+qvtKYj30M1Ee2BQZ18L50UMMdxHUgbPVF0cVLvJeJfr798Ze2XI7921M/Y0TgbQbg1mu2RU9e/ZZYOI5902+NNo54/JoAbJC8YV2pb6pwFEG0yaJOOetlAaDCJVRfRAVzGGirHExEXHNLVjB3WUv1xHR/Nui5fTaB8Zu9Rd7bNvL++z5NQUZN3cp6jP2KswnNtZPESeSVdRUVFRMRz0locMDJYobyjCuH3ulItxxIwc46Uj5iCVijj3DC32UR7pZ2WZAUWuQ4MCqx44/BkgMh15Mtgw4Gca+zMaaWBR8XIMEpk7FOKkeoiuJMZKYLm3UsJ9gZUdlDpdod+DoQdGOe7lmJF0uOPkTKRrpHxSQSN/lCaFM1Br0NyjK/oDDpiWQlv7gNUoOa6T46ey4cFYz1ZsiCfF0lmZByhEKNxcGSxJr4FW9xgZk1EofM3BMWfDcYzciIMiQwrZlfKdAQpmocHONENE0o8fcbKt9SzntnRmSuvmnyx+wld4ID+VB4/JyrwnJsWbDuJnmTxTBjx0jnq2IW36nCDjKzLk2mqzgx/Uv/BHz+Z1qYtpc4DunQ83PKWn825DY4Si6GWMwguenJY8Mg5GjeOqfBSxAYMVvkN3Kppp6DEzTlrxAUbpJnmguORDQKE3i1F6nPOSZqX6EG4n0M7Tp6WyiRI7DYVXylMHSikKLuVDo66kcT2dhxxtKUdJafRMkryrbdSehi7MVpsG5c3Vck37wosmmmU8HbPo/VIcd+ue+XPbKyqT4sQQYptX+meQp3mtIIwjyMx3O8NZfcj7UphgXoufTptcKryTa7uS0O0lpNzpxoQIZOqMKYt3AhqJL4gIaKd+eUUeMYpUJ90jV16BkSOs6UuyrLyy8gqdmb9kUfF4Ik/+28fL4duU9TS0FEfhNqLsCont4NltmLe+kXNc3dHOGP+N8ysvBXzS5IaPJEcukEWMEBnTVsAlP9M6LZ+Ekxt/psk8LQYT6eTgt19080IdAXXCQY8rKbguokdE2FCScs+1U+VMU3nTkVkb9dmH2RgT/Vn3rCN5WX7lyCdXqaCMZlJc8QJ5ERflUgZpj93qt9MwL5UmjW6JTxs2xi19/K49O2UM7fQqEwbRzv7tsat/h9zO2LFT9wrbvU/jQFsZOAj0vf/8CNt0ZRWJ8N1y4jv8L3KMfE/BSLJxpGdds40U1f7FuKUd4Qmrf9Qbo5F+UJk0/RzOrFa7TFKb7NUgmGIFfzAgcxLG44Di2lCqqKioqBgGuuCDhgdB9ft2GhcZ0Lnu6Wew8DChK6OEBi0GT901yoEHKDp4BgruNaJYGVCYZz3V8XfgZBx1dDBQ5IDi2bRMkIOD/MjLNeKqfDJf8rJHKi+M3yjwImuPBh+CGMqs6GiA5OrVIZQbnCI2xs9etgnp6tUgDaJsn8OP7RRk7K1WKoMrBewRIygHtR6jiPJ3KZ2VJwIoWVfTrbgMq1Ye9dgoBQnFUV3hDX6kITyvGadVV/iA0i1+pVGkQVDPqRwyIGJcoHQURmbh+jdVuTPzmAxsBlyIMQfdqFm+4zPYanDFIGZFiPa18aEKWLHmVryG39ng+kd63erG8oHy7TjEl3e2k+7l53K8MoECTl2hPZU02s/KjDJRTvIa4KOd/Ewvzvf8n4aZQ6FV8f2kQBQP7qk6M7RFQhWvuWY+iDA+vs8UJYw8Sxz7ijsy0BsjrikDOibLf2qHlEMZ+V6Rk6cVebUjVDgfMjFjShiE4a0wy2irHvZ0HMKt8Ej5YXa+U26a2oetotPEN1wHSpOpy3pn2eKFDCDyQT5hAuWxJZHqI6u0i4viWe3OvLe39MgDGvwnZc/8ISL5+38mSvTOMMmAImmlkHIzAukg3fwprvGn7QjzO0EZjVM+EDNJZauplAa+4qAaPpB5uRZ/59tA91BIVXG7We1W3EK2QVsRDzY7belnaCPocRtAl+JCm538yMNtJPns72dLrd73nbrfJT+vnOZqc06WOLJ4k/XCz32j0tEOjsvki9+tjJvvevKQu6afBKzY8Jzh0A3xKOKFfLuGF+IV8qZ6esVJDsUbo2jatMPU16axwsrRVK4ykFhNyskU+mSMKIXJdcigwahqVuk9CQP/dA/dlNcYDFl2GmzEsYGEQaZ3AUNpOobRFPLL/snxSvuqNghjOuVrniFX4hP1Zqyw8af7qUpXXn2RQbzSt8sj+w0FmJcK1hX66J/pm7fvkgHk7dFlEoz+fVe/3hG2S8tY6t+V7ac+fu/efuXIFmaukm+/Dzjlbxopd4/SKC/lvWfvLvntgjN25hFynmx1W4kdqgftRLigdwa63Y6wVXC/q7qy6o5zTGWQ7yO38pdXvjcp53sl59wD2sgrcGpbttxWVFRUVAxH6XIPEnzfIb3F4xdXPe/ZjVPnrit+VoJRiKXophJDR58Ddv7RsadSiRrCylFuC2FgYPDP52lSLvnUJ7cgMMiTUxl8/SznlaZ0Ayijg8Bg7f81YljF1tVGkAjF2GEQ3aXBkcEXh+JSEjqc7yh2Yxwx+O1l8Ot3fGYf8edq40n59mtgtFElRcdKUVO6BrNWmaTTPY77DM8yk1PQKOaqjvijQFBf109XBkaqDz8Z/KaJQSjgKB5TxK/cwlTSWOGA76l8gCyjKZO2kNKo4hyiOGks6rbEB0Q1b3SfrQfymvnLiR7axN9pqHwMFCt9yov0qRSSD/VL+TEJLl/1wmlgtyxxRa4sZ+SDgoISSZtleuB85LimgoLSwEMGNm2NQmRlVc/Q2vBUMay0oJjkLDss0LP8+AZEuTvfVGAyrdNQBiCu0uBHGtI3xqoVQX9jlG2D8cLsN0qd20UJiUdW5Es9qRtLoWyfUU6+zwLkJwNy0l7FF9/UmlJ6ikP2VR/LwuSO6JTiicEkaXA4JbVfUXgpG+OKK++qKEincsg/jUpo4h4eqw300K/AftqCd4VAAV403w6RB/42BBSHxrFs4Ir8Ns/AyrZTIevJa/KjTP1Lpwen0V8aCcm/dhAO3a4DMagvmqjqAC+TtpTzfvE4bcTCe/0N8ED+JS6GD0o0q2FecVBArh45gq+pjPOu8/2J8lWdrSBjMNF3WF7TIfcYp4TRR1rxxs/3XKk09EIR1GQfyBUjYKr8eU75kXMYgD9c4FbSBvBLXrvl5VihQSZxMo46D4up02SkTJfi3JkGUn53hSGDk5GkeyZTcKTl2yNFgLhWf2RAC88FlNv0yTivhMhNw4CnbLnc0idavJ0PmVdeqoJXo8TXZlszLg1I8VFh2UcPlOH6cS/HOzTQLnJt8gTR3Ht7tPprvg2l394p44j+HEdf7/6e/h3jqH+n4rLlbqfKZIIMg4m+f5faXI7tdvjTtyg/8vVWPMYF6kCFNOpI0lRHjWFiH98b2kiCZ7BSfQi7JRj7kq+0eJF581qtJ+PSieX8fRf5Ek+Od9PyKfnZQ/+gfkJFi0/UmSwxQGk/DF/lU1FRUVExDIO1igMEHa8VKBtGKK96tuKmjhn/0jmj8DLgN4MTfbr+z0FeA5sHfw8IDKI54HswRdmzApsDn2cYpfR7L73HCw0eHkAywxwoyZmBMBUEBkIraroS0ihqHrB079lbrgpHccbfA6nSMNh5wCuOAbVf112qaL9nGhXu2V5mjfFjMNUgubM/V5RggMsnv6QF58Gd/NMz/ZNY+1O2jTM96z9fc9DPOgEa0IcoqL5sM8nZWdVfvEF5yZW25DH11X8ux3wqfsnX5G0qFKYiUW5RSHDA6Y2Sl8FAnPcYg9yi4NkI0n2jMJO1V5wUz1dXnRZJZRWX8aGloUdXG+E44pA6r809+ZAfoJrmpfwoKBXN9CM+VxTqVK4dZD8SNis9BECWFQ8/6w6H8e63htl5wvKgAKIY3CCX8BYZpV2QYdoC48iy3Mg3si2DQAVCQ2MkIcYofVCHYcmWGOWi+kCblNPyzQ9xrUCXemIAeOZfeVI3vtXweyV/lai0/j/rrftmJtnblFxGtiEfnzue00Nf0dRUhg0d2qnIOwogEwD5jqSspyKaM+ooh9kWRd7l18Qzz5UpNALzQf6+Kh73unFar+CqDPuJFuJkP0G94EWmB5lvPluuMSwdQ7DBJ3+lSxqIn7K2u8hjI1eWXYoTzBvyEC9Ib9ktxqPDTTN+pENBJi31pc+AD+JJv8J2ya8/79MwyrIsl8rL8co7Q6mZHx3sXrWR6qJ4GEcSI7UjSjbiJj+3Z+FFmysZtfik/3Rf+gYbRjLUZZh4JUjKMqs6U2QYYbw0W+5syPNcVpJYVZpCGhlTzVZd8uV94SrCLOde4VC5pHV/Xfx9wI0nC3CZd+P8bY3yo9XgB23P+0DH4e6dQmgjGUeEZ7+UPKauLl7ltHhA5U2b+IsA44gk0EY7MYQ4TIc+W/313p0yZGzQqh/HMMKwYfVHcuyDIGQM7dunexlDu3Zvj34ZSv27d8io6lP8vN/Tj9su+mQwKXy3/HfLkGKCRdTKZd/BtrmpU0WjxB8W5jY72kZtVLbZ4ehz3HaC3xUlcO+ALIpT1Ac5b4H6WqbEHxvgvKvIEvxADuBuxocHFRUVFRXD0darHjhygNfVhlJ23s3y/j51zGXkdFyGKI9RfhKUjm7bM+m6svqB8/dGHlSlhHhQyIE9xwkUXAYLBhDdaPBDh2OM8AybS8nB0vGtQSasZGlkRUmczIBBkJ49eDEA6j4Vp8HOA7GviodyKOUGQ8CzwcwOM9OoQZarT6trZonlHCbHN0vesiGXA6/C5fY5TiqaKEAqMJUC8zDpbfzQyW0IqV4d4k/zbVauGKGsZJ2ptusofiSv4JnyMI/0n6utzAZY44QoEgzh/eIBM+Cs/hBNpIlWeAFfaQdKUB4qKfe5S2kUP3O8TeXGCnkZuFPZlJxYsSzPumGmk4EbpdOKKkons9sM/oqHPNnwURjKbUJpCp/Io1EwLX8q12UoP9U66XM45SVfDOXHX8vIFpOUyn8DMmSWuK6tOktgUHLSAFCBZqDS8P2AFBue3V7K26s04jXpbJDJD+UPY4R7X1UWBk1H4RVtk6s/xBD91Ft3vE/kxZ8NH5R+Fw1N4hez7jZoVC7vkvz8vI+4+FNW+icl1Itr/lFGQ2dCfirTISrXypXCrfS7LcWFIt8+8QxFX/67Ld/I/m6f5Ohv9iznIlYspd1pi2wPpZFjQgL4/dvbr3jMwiuO4juu0pNnehTHP3giCnPlC0qpU9JJ3VKekGckmqvSuFrIB9dSL3Ihvu4QtZRlhRdDCDAxYnmlLkqckoLiWvIb5LJ+TArw3rDyKf1avFLfuFtXqtI400E58DPlhmfLsf5zm8gXR77Iplf9KBgn5KQId7zjTf1LGAaM+gmAH8a5+wv5M/HkbW4ydmwQySEjzlvVJh0r0Bkm+SqO7XCkbcqBEyQgGeLjb8FME4YccpdXtoVNLpMEuUKS/k0c6uY+q+Rroxt+ur2TL9nM3MMP/oOHyJ54jazI2b+A1uXP8om8Km6/GmPHLhkzuySrMop27dyVfTeGEvJr40h9suLnqpIctKgxm8MZOBUUw4fvkth21/ixwrSrX8bSHhlJfKckf59wp7bzCpJoc/+ifqRZoVb13X6e5IJ/BNPZ019TFaWBD5ZlJh6pv7yRHWpoOGJeYRcyh3yp6JQ5ylVhbM+jUK98Kh6uoqKiomI4cuQ8SKivLQN6dtqeoVXW+Oe2FophwNNgh8KhOFZK+J8RQl45eGug1DUHbmYwmWHTIMp3G7qizFrh90BCevJXLmVAwV+l5FWerYES4hyH/3KwyEFVSo+vDKxcNQChiAkMZmyfyzplfM/GKRznrTHMOvJso4iZyF2ejbRj0C2zkOSF84yx/HCk9fcGygeeTBINk8vV+32KIonykYoAAxx1SiUJ5WWS+MGsa7MiYYUDPrma+mOwhU/JII+8+t/5MVg2eRoOSCdf6965JU7qJfSLv7kFkJCM7vguBGOG9ta9nvFuynO94VdJ2/CarUepLDOYM3MOn4sSBO1Kb8W83MMCVUbP5Q8/e6lMU0O8bCs/c9F9syJBGEjakBVd5Ed632NAorBM2q17nIiahCzQ9qnY4GxAI08mCJCGquq/Rgbhq65NGgANXklCAaVM8cnKoOIh574vxlpODKTiSDormCUtii1GFocvEMfZi2dKoXTFELIRlO8d9/kxdyqheRRzhluuM4PiQPIbx72DaXKVQVvxjPMKSnlfMO5pS45O9vuh+9271L67Fa44frZymXKwu0wO4HyPfEiRnGRNLicKPJHAe1XeMRsQSpvGCfKJDEAvbG9ozbZKZLsgngoitv4Qiawn7312C6SlL1FEBXkliTDqqxD4QBLXvTwDxMztqz/auryp/mvJJAmIY+db/Qcfm+fkKXUjDrTkRBEUcc6MqBKR+Dk/qJRfkkD+6ed/SoDzNy3ybRkepd0bOaJfZculD0bQldPhfFCI5ATDK5Fxs5+RTFl+WGXCdfjkNK7k3dTbfYQZqidoID39ka6ZF32TypBzP26n6Em+699AxZbn0jqklbzzvWPDf+epa/I2+edVRvOS9kIWkrc4csqJqTRYMIj6ZSTxzLdFO3fuiB07d+rK8x733a1+S5bGHhnte/nIVjVmSzVGE9vq9ume1SFWljCIcssd/VzKMP2P2CR6oTrrSBVMP/XEz5UscVxvZFeecnnNsTS/+6NPpa70z+o3WZXUO+ZJIfMgedHwgOyR+eQnWQ7ki5fHgYqKioqKYTgkvSPfiVi5RYkonXHpjt2ZM3hqzFRhGhTVITMYo9TYkNJzbuEhNDtuK4vysTIoN7VdidSV8YTePZUF/DyyyD+3KOBvlAu0MFDlICHnaw4OzYBhQ6nEaQYZP8thGHmgLVcPsB5o8Uslz06DarNnfcDt8Z72frbWWCnUQKt7b8GzYlgGdSucXGGiHPURDdBBNeAfahjk+gAAGUJTO1A6WD1KhcVKCwMvPBJLspqK41Oo2CqVxov5Rb7U22UJZot4SmniRfIl/azUim7vay/tmWOv/7NzfKFpQ/3nAZp4lCBT1Kc+oeCylcnfDVEj4ujZ7W/lPeUCNjDbyUl3UIU2RSzyVRSXgSxQeFN2GldcHdPx+M/P+pcnXVEqfIUiaRm+FoMopKRPzrYfUBwgJNvD9eV/1Z82YobbRRQeQgd5Y6jiB30NLc7TySkfGS2yl14lrdoVpVL3pE0lijxyxRNls2U0lfi0KytGTCpAHsaP3hqVpXjmaXm3FC9PrKJe6e9n8he/UbhysoBJA+pHrFzx4ERKTx5Y3jmAIN8ForElDMNo585dsQvl0rLOu4AhxPdJTTrlq6vlCEVWieEJ9zv2SDHdu8srSTaM7FA4+Q6wPCse71jKXrYEII/W9j7aQW3l1eCyujfAfz0RB1qsTML7xrBH8Uw5s9O9lVD5i2xfabU0bGCyOF9ki392iuE/aBvkGhkYeCZBe5zMl2wJk/yonfnW0hNEkgfC5J3xucEAUVTLP4/8IS+l70NuaGVvxdNzIzc4H5Gt/oAtcnxv5KP/i2GdBkjKHB2IT1z06tG0mKK4Xj3CmOK9VJ4qjOJtGInTdtBILQimb+I1gi5vHZOnZZZ8B8k3PECeyI2iqXtu7cxvJ6kNeUIjuTe8aq7QkeUjG2nYJF8dJvp2S3ayHMkRK5uSrV27dsT2ndtjp4waju/epXRsm6ZfN68LXea68rIc0383sqj4KcsYQuSfcuc+NVkoHsj5dDraTPTwT8500u6uRbYtadp5gpymrBKGoal2gielbShGKRyHxF4lw49xVfwln+Qd+cGnlG1x3rwE0F9RUVFRMRw58hwk3FGrA6Yfb3r8VLLygYEuHxWHQUH3KGR54pmj6JoDAQOoBwTAICPnwV0DRzPgp16QcdjyQyaEp+LAwEtaZg0Vpyi3jkv+DBiKkzPROQA2ChtolChWd6TRexBMvzRuiIsfhk+zQsSAzA9Y+oQj/DzrTVzl7fxLnnIMrPxmCv4c4GCFrzhmKhlgfa+4DLTecgfPoFf0++AF8WPatLw237XY6Cn0m5e6AtccJhp5bfhc2OI6OR3l0jgEkYfCzCfdN1ulUCB2SRnYtYc9+Ri+WVaj3Ch2k23mIdePokxduacs+6NwZpyM3MTHEErFNQf+smWz0NsoRM21qVPj1zienV+hhvq6LDnLhfjMMbvwGwUulRriIiPUmW8NZB1YfnCkSV6QRwu6Td6nH/IFX3C0ddYpXdIFLelAQ68VW3miODZ+LstxikJT/Jsw1GD+GiWI47w7JskY1l9ut0uFim+WJk+a5qtSZ576I/uWgcBr1OZY2bQRq6qzhdSGkQz7nZ555yN2jCLdS053INN6Ro7ye458L+x4D5QXbPTqsfIurExDSu8OW0w5DbJ/J8/7lHe+U7xDGEjM8jfvT74PSqwr72TymXdzwNlQwlHPwq8ss7xnTd1oE/7Ev5THlMmBq+RecVykrm4PsrLsKC2rjpIdl9Gm8LsNS9nJY5z+M/LKMw56MmxS0i6HtIsitSGx+WtSuXjLSfqgePOG6Kqy2OHJtltWGL29U7E9GQV9pou+QvIhQ2dyh4zo1N6tbKfBjHw4lfyUnnheQcJQkpPRJgspCaCuyL3yNafl5zqZqgGKWUUirOFPHlJSyjJ/sp0SSiO/vIOHokH18GtJXJWEAy2+qd0so5ItDHJvb7a8Isj6pzDGHB6Qn107WNnnu6AdklUZ5nL+UW/Jmg10xc2VzmyfbKNirCA7vlI+MpHtSzmGrp7IEIv4keeODg5bSDdlimTXVaN/EL2MfaphA3hJOU294A3BhR2uA2XRD6as6kGBhBM/xwt4hh9tyBWX6cks+V1ax8kVbyBCRUVFRUUb0KwOGs1A4vv0cOftHwBlcHSPzIyXhnI7enU65uycCZeuYSOn6dR9JZvGKV4OWnllCEDhYdBlvPYgqH/855zJBI9CF5kwnjeGEYYAW+gwSgzqoPxyMEzFKz+wRvHLU408Wy4lcdcuZtFlIDELKaOImfPmuG9m0hmgPZvOYC0lkFUif/hLHJXjgx70bAVPjvI8+FMeWzWYjfTqhuhiNM1hUfxhCw7fsdBw+3RFEVb9C9/cBqRxnbkvg6Hz4JEBuGio5AmLBPJWwWIR/oVHuvdsqdLu3s2JTSgH0KZ678LgYRZV/NDA3C+eoUDSBMyK8v2Sw3XFn/IgwYM4pcnPfwqyMr6H7S9sF5HSrOfmgAZloStpccqAdjaF1N6tnHnov0ZmHIlwiNHV35npjgippOnWjrQcsJAKqX+ThFyhzStdzATnrDBE+krphTeFkKy3aEvDhiikhxdyioSYpxIIP1O+eHabi5fOC4NsiuhAiVJMKy7kh/ItWjkcojGciI4i5zaCJ06P3ipjmdUkTiaTMZSnjxUjScqoy+GtsfIk/sAXlDT5e0WP72TUBtDoZ2XtrUZq49zWk+3to6tlBO3YuSd2tBlDvB8YT54ssGGELCsT0quuqXiW/OW3Q+8NxlUzI8/BBaRtDCuUV4ww8mq++RPzFD/bImUTmvLjdxtTLivlhdrmj9Jme7UMHOpdZtHZgggf0iV/1As5Dqy1CInnvLPOjz+Vle3KE8c7i7595QN8tzNN0sijHujYir9u/L+VYMuBHxOi3QXy7iP4SuM297ZPpD2NIOwNPyvvyVLC1bThHxFlG7ICMw30U+/MUj7yS2ODBBhJHa1v1nQtq5DIl0+rk9+0KRz20SklX1dvsWuMJuVBOYpLNw7Lmm+c6GP5rSuIY+UXWXPc8g1Tbh2Vgx7FSXlGttQ3654wiPZ3j/CKfx4rVElYSBh1Ut28oukJLPpnta9cs9KJPNF9evuyEkImRjH9MT8A69V7rpxGp7zoo+l/7OCb4julbmgWZelyLc6US97OP/stymJlS2SbBz5sQVXJgxgwouVvkGe+841rQfe0mxrD9adcQHvasFWbYLgim+5P4IHq7u9WzU/4nXGho+Fn9iHJawKyxEIr+VnmKyoqKiqG4pD0jvTzOPXZutLzongUf/uly+LUgfvqHrrEz3si5V0O8KAZRBgEGCzyPv09wDKglXuPAQ6Tn/ydhjglnEDyIEv8mhlbOz+n8oc/rpmNzBnqHGD3MOttJ2WOGW/8UOxkEO3YgWKHkYRyxz3fJGFA5QyllUMGZ5eZg7lpYNC0spx18QBop5FXQ1pDP7TbINJ9rh6lYpNpGkceGjxLfg2vnKeG/UYJ0TjORchBkzh+UgJuG3pZ+fER5PBEefBsP1YUlOVOXXeifEibSGNJcXW/W5nYUJJDASJ3FCzaRKWrDDkMIcmDfzAWv0lpRKN8oPRAMlfLk/43jSj1ela2ziMNALaO0f7kr/opjme38aVCDZTcYmA5kBMTWCnas1cGoCgQ5bpiFMHvkkQFmX/WiFyo/a2kOSzDh0EZ4N8Y4M0sdrqkIVHatnj4ItesCuYKBcoZfCxtKg/zzzxDB2VlVfE5jnlyp/nhlQLzpXnXkh5fxR+US0jLzyoIg8ZUAtkW55UiybW3kYr25qN1G0A2jIrjHfDKUq4oeTupBGOn4ttJNnY1TnlxRXZQWG1wkafiZf565r1D1lymDK5+XZU/8pj8ps0gljbIq9tIf+4zXEfiNO1D20nu5eujoxUF2U9+wFuUTuSmUxlO0yvXoXT0UciigiR/yJSV7qbsLE1pm7JolzSmG3lwiK6Wd5cHvcgC6TIMuljV8Aqd8veJl+4Tknb8gMui39KfZcWGBrQjN6oJV8Xzt5vITZEJK8jy5/8OycMUyQffEuV3aPQjKNNKSRo5nyyHQcSPwzYHN0zJ30fyceByPtpbcUWQZc+VyUJUnpzkFaOwkVto840imc5SD/pb2pkwbxfj3W8csm2nupcm5ZnmbU5jo+1JzwqlvwGVHO3lZEDLVr538BAjCQtnn/usnODB8M5VJPpuvQDkq/zcti5L5IIk23DZOCotR9OTBhEEbmsFsf0ZllJ/O/Ml6242FPgbRIfTOuSZ5eIyLvnQ7ymMDAtfXGahhTJt0JGGVlYalyU3sKug2V6Z4emPwYWM53hSUVFRUTEch6R39CA7CIwEDGRl0FExAwNcdu6plCidO3cGCN1LUct0DCAM3jmAoDz6Xn9FJ3EaFIwGjULUzBTz7Ii6H3SIAQNFGaRtCClN8/tDrUFVAypGEErbrp0ahFHQUOBs9GD8lG0ZVuxylpvjYnfu4GQkPvjlmgYSHwCTdyp7OXvpGUyX1abw8ldob7SCgWfxQzRzRVHzTDBh1F9xJ/ueuG0KZOFJ63jaZuZS8eAh95RKvs6bJnRzKFARUMrgR37UDI9Q4hqlFt5IIZbLVSJmWsXPcrWxZGVXfBSJZY3GykWznUeqhB3GjlQ70cOR8AziaVyjhLCKREtbYZTLeik9M8qsSCIzjRxRGwUjZ5an4prZU1Mgr2aLZiq3yhPtiNUAPrjey2oAvEo+kaFnhjMqrE6bVddMSUDmD9r5b+WcqFzx46+EgZRteADdKFeZD6F5nDh+GQ+n1rCfZdU8x+X2wNxSVZRdpclZ5OQlTtHlRJPaIxVBRRPfXBd+QJJ3UkbNXowm6Yv+Hg7eyzUKu2WgbZUnDyKRzMv438nEgCcIkH3C8t3J90b8RBa4Oj2KqmTf+aWCypUVx3xHkDnJGnGgGZ6LYN4V/GxEOBxCCSs8VjweyJf2MSN0n6dC+omW8rvD1X66z/agrpmXH8Ubvqv0yoXaH0UcmfBqFMLA+6HnVnyS+Jk40DrQ5kRgW5m4aJfvIYaBnmjH4ugjmvoObOdqwmko2hV69UwdlRt1Qp5ZSfbJn7qyiuTDHRTGaihGIatCHTKcp02drv5PRpIMnklT+R2dqZKfnGTBmOY0O1aMOvgNpM5pMQ1jCUNbsuVvlTCaML7pk91viJfuTyGO7HLShndOQYpPPGRQ4eWN2S0Ba75Da3gmFiuOI/lqOXZnhF++19z7h8ctn/QNGPJ7bcTbMWmFzCDDik8/lO0AP8U/3XDQAmXTH7JKnzLFDEHyEhIomnfKHo2faXIMl+sVKzeB/HT1febg9yXT5BXSPdnjSjhK5kWeqiPejXM5ha+suvEep8vvR92qRKRM1R35QO4beSuZu41Ajnk57lkg3BYlH66KS6qKioqKiuGg2zwEyG42+30Gk/RLBYQ+nf/sJbinLs85SNCxkwYvOn18GdxTMdXgwgikZysHZTDg3uDefuVR98QBkJED28AAWKK18mEGEsXMxoAVoVRWUJBRWGxAKY4/GmdwZXSSa+Kj3Hm1SFcUH05GylPqMKBIQ7y8WhmU8wpSY7S0KGow8Jz1xMCDeniQSn5jGBKW9dAzVzSDDJDL+pKOMtIgK4pY4R2GQoazvUsJJssf5Vx05QESuZpi4ws+mO5UNpI/qlPxI28rKKaHEpWzydAgLEKSNK4Ka+4xdjCSJAc2iFFMHTGNBhscmbC0YypLKO/NVk0/EwVjSXFNq+WKP+KmosJ2lzyVjlU00iQPWrLo/0qZctTDdUEZdXnikpQSG2pNmArmmrSRp55Jb54Sjiw7IPPTNeuVZeFSgcx6eIUNBakY8abbtHOvOOSqPFOxVpuJdBt6Sky4DyiRTj+QZynXLu8HlCo905S6h4/8+RshyII1+CsuWxSbZ9oXOW9m7lFMd7JCWuQa+WaCgHdgjwwotjH5FDq5fQrjpLp9MoCQLd4NDFK/G6LL6Xm/kCfR4Q/loQEeomyKB/AoeZfIehVFm/ZROgwzlGSMOUPRzSKHZxsAPSot+UkZRfYkBz4AgGRceZYbmLVvb2f+48oz7SK5JZ74Sf7ekie6Lcu6emVJ75jfLQwlnuUI2134huNI6WZbIVt3s48RT6ij/lKioanIkB4x+DCKchVRHiUsqcp2ZVICpdmGEoaO/vQko0nGTjF+pvEDsR0d+Y2jt8SxmtS2eoRxNGVKTOtUHoR3iGdFzlKpn+T4yG6ecIc/8pk8cxu7beVUdxtJ+Jk/yV9AtTwukK9o8/tJbYo/V95DVur9LZyNcWQn5cp9Oe1c2tpbpCmn9Le7mQTBzz/sqncom9CgzDT8eId4Tn/KbHjeyBJ+QFQ6Oc9N35Uu6SZPv5flHdalla8PNnLePNFiGYdTC8k1J1Ca+vO+qj9WPVkNyz43iWgM/TR+yEOp1A4DK42RhqvLLnkpvVeoLMMVFRUVFUNB73vQ8Cx73vn/7PCzY8fx2BpgGOqJYM/srHlsFBce1G27IyeOcyZeGZTwd1gbeGKwawZZItq4MphFFTUe8DLdJMVloNldlBL/zoXud8vfv28jLclO+Thf/NF+nJz/RCMDDbGIo8GYvPo9U0jx6WeHMkjeZSUJGnPVRQqX4nrbj/JqBlDnr/TmkWB/tDY9UyJc9Sy4B9eBcqDJRqXvQIaRpZUzNwd8JdSU+/9J0GG/duWNAZgfbhG9VmSkdCgeCl1LgXW9GgNJ/h6wU1FJP0pJg4hwFw9xGvTx92COh5Sg/BZCSoH9GrkBhJOOZ+pb/OTEMT3n6gik5TaxnPnf6216iscKgICyCjUc473Pp0npWQ79I7fZYQg2xgN8yzrBNlYtbPjRtq6nuKTwNJyKHJQ6kpZyuG/44BUP+WddC5ehh3L1hDc82gdttIOqT5uj8OYBHPDEuZpGX4ssptygCCneVCnIxJfDP+WnjbZknjJSQi7lOesLjXrIoNaVKMhpyhhtzgEKyDppVA94ozoySZDHeueMvpV8G06sysE7wuCH4llORE8bb7y9VHGdD/GUD8YaNCENDVC6IX+gLkqLUx5uIyWAdDe3XOs32OSaP1cO/rLVCP4hb3g3YXKZPd/GkI38SnluJzn6EkcV2AoInTizVlf6Q/hjGqifCFKuFJttWfJDfijEq8qFjzlZw/uHnKEQ094ZF7mEFopxu4sOr9JgjFACbQUv3Ycpb8sHq0cYPJIjn4yHTOl9k5zkqlEaR9OmTfeK0YBhJGPJhlIjWzJ8OPVO8Tn9zr+JJAKQNfK0cUTaafmtkeVQV3+DZdlusQwGyQ/2JD9t0CATjqT3WuHuC4qSb0uLZCrL8mZZUpsrjeVTdd5N/yuHMWRZc5/OaXXIqIxxpdvDj7jqnh9vdXmx27RAF0X4x1kpDj/6XRdLP0M7ir9lCPC7bCjAfC5PitjIo9tc+dDnNHFIZxl0fsSnf1EweZMBfBEwsLNPJk0aS4boIV8nFCCjKRN++d5/lE2BGaf5vtLHuDs9TsWKN86voqKiomIYPAQcNMrIz6Di/t+DDAF05HLZn5dOW/FwjggBdNp6YnAUvDdaHTmKC0oAnT7gQjr8/Oz/Ey5LHsRN5ZzBD8eIlnf8EQmDIBXZzNPKldLsQnljEEWBU0A6DR5JptMz+Dbb/Rj0MVwcpnj4Ua4HcOWBEtzMmlpZ5t7KS5bt+hsQkTQDsvbgLP/GpSJHQJbte+AKiBTxBH6h9Jm3OOUxueyHz+imVM9yDJgYCaIfJy5nuPJrZralHiqOnMLhmSphRZcim5lL0N4+rpXbLekoPqYtT8yaqiuKk5c5pJCgfLElJ5WQVFpR3GjjbP/czpOKGGR4taPMLOezDK69U0Wb8vc3JNzjh1wlXS2e4ExTSGnU/2SgSKnQcJvyY6W0rBY1SjHtyRVHW+Esa86DpFlYGhPJJwwqpy0yYLkkQGWSL23jdocU+yeNjeLJc4nuvJwH9BECX1BExbP8Law0BjMd+ZW8XVuaj/KhnVl2FPCsA86GoXM115WC8rN98MlT3ZKfYoRoSIdx4BUlK6HUMetHnnnFj/cqFVeXhzHgCYMy8w8tGAUoa6ZlQM7MO9rGlCXvy8NAPU0bDEx+4e32hD7TSST4SNs3cplpqSP3Ktbl2Vgr15aMc0F+xW/eRtJQ96RPjvwpXy7vs2zLJv/ZGM/3zpkpEST4QBQRR3tS52YVBF4ObBcTH5QXrcCkjt9J5Zk12OctdfzxGqdhRH1pZ95hyiJd05ZpDHWU1SA7GTNTOQ2zZRClAcQqU4dXjDpiEu8nJ95hECke2/Om6NmGE2m4x1/xqFgjl35neccgD5pR+PUozlj2aX8f+oJslCuGjA0e+AbxAjIDkK38/lH8wfhhhc15wLOUF+dLPPmzqpkyJfnaw+QURhErljt1n4dqgDSG1MeKyaz0IBLNqotBxqLFPC+y4/5X3g4SHEMPrXe2+GV9SceD7lwW91kvy5m3C6Yckp9/1kDxzbuShgk6+MYffm5n8cjvQ0GWTy4g/wceB2gL8lUcp+Xd6Ne7xmrrruRDRUVFRcVglO76IKH+eJ86YusodOzq1PnzrUcEAoiki1xTaDOg8IcS7R9JlF/xKZ2+7h1vYDAYUJwJS78cPDJPDxxFkaAwx9NVQ4PCcsB1Qv1rBo2WAse94immdB4GoqyLBy0yZJaR2Vc7FNQhCoH+MbPJL6+jGFo5tNKiHK2AJZ1cXQ/FTz5xLfXSAzR3dKD8psHQKM1sVwOE49+UnSsNUgGlp3CiFVefciUjJ8ugPBQVORSC4hrFrVl9arY2QqsH4aJsebYfxdWKY9YBNAM91aKtB1zTbnIw30ZTKtwoa/mr+lK88Nczs9k0TbOtxEYU6VDweLZyK6crKwO5OiBjaDfPcvumSFFKZRla0iUt5Aegx6sQ+kPdlIfjEW5lVArVJF0lDGhbVk69kuG6lzYsPDAflNhh8EAKGUpfrmRIUUPxN18oIK9O72do57koJ7pPXmU8x8hH0aGL8mnJkLwaA9n1Uds77xZdxciApsapDiSkaOdPfMUlDMUTeggzf/mAnxkOO4k7/JMC5++PpFBZ4VaSVESV3tvZcismCbLMzJ+XxsZV4VHGkbdXGnPlFp55Cx5Km/KDJYqqOJmWEw19JLLpo83KVaBtqb89cSiaduKLwnzyl+rj9ucFJg/LQspmyoauyFfhZeaZ71yGlzTIrp7hUa5UqhjksMUrtYPKHZA1/ZfVVT1Q1HmQQ8ipIPygnyl8yTZGmfdHNk7jFaQsSHF0X1Y8yIf3NBV10qWyy3ePtBHKL/KsmogHnEw3TXIvY8ZuWkzT++Yj4WUETevIlSNWh6bx3VHZaofftM7p0SmDyD8oizGkdPkj3kor/+Z0u3S8wxjTKpv6lDZyH+L+VHSpXpwcuou6yeUpoBgsyEFZydezJwHcT+d70eRJv+pv8BTm/pp4ZqWe4YHlTLwTrxrDfNfunSpzu9JtVxrxV2Hk27ybiE9uTVVZrT4x28+uuYcW1yjTlerxetIE8nWT+kpEDMWS0Jemf26XXdOuxCJb9Ka8+/AbvQtepeVPPINv/jaSAgR4CURJ/pnHyTO/Yw1BxFGaRr64Um9454kNtifuhB8VFRUVFUORo/lBAt0DZOePwqGrBua9eqYDx5sBAWU4jZocLJxGDuUfRawxDKycMHDp6nv9WXEmH4U7e+eTzgOW/hgEUMYYHezvUYL/c3DIgaQMIrpzesrT4JVbQshPIcTVlcE9B6fM01O5iovFYcOEWVQ5frC16E9lUGvKaFBohfYCBlDio7DTCGkA5YDd1BMlw/TBL+K6zlzz3h9lUzZGjrRWbArCbFuIBqkrzpNjZ/kJk/yxQtVFz3t1ZaD1DCp1xhWaPRDr2YO3+OkP9KWMcE8cwpu4qUhm/biHTU4s5603jRGkcPO1SScikydK06QlGWGuM8ZQEsbqopsABZTk+GEooZjqzt9/KJw4aURBBy7pAJQF3JYkU+0zSBnCK11S9xQ/yE91JW4qYVJIMDJcbzmuFCh5I723iJGO/Jo6lvK4h48uV15W9qwAEojyr3sVnApxUYxlZPkAECm8rCzYOSz5jizYeOZ9UqYUBSnk6TYqZbgOpc0I44pyxKoMs+5cIcpsMjOUsfjHtiy7SR2iBaUt2x7lyifRoYTrulvGTSptA23rXPivlAnyneU5FT0UYhsM0EldTSuylldYxQEfsJ088OM+f7soy8r2LO3uuqWc+ACP0v6uOxH4p6tS5xXaTBlQPqSDqXBTV9435DEdK5ysjpDvFNPgvDHGUWrTnlEB5EM5mXPSBN3UJ+U3V5ZyFShlhmPmqQt8S95x762qGJ02mFj92CV+YDjw3J/fd7HaIn4hl3v8PQ4HykhOMDotKyJAPPIhCnrXOLkO+jFkMIxs5BRDp2Nap/oyGTiK1+FVpVxdwiiygUQcyZpXeOGH+JP8cpUF2gSX9c9j4tW25rPqo6vlTvW1wzimXjaUMWREv64YR803RLQZGfK+Mdkkbtkr+yT4qvx09Y8W64o8WxYxJDGElMYTVC6D/ot00CQH1WI2Q4plSW2Q3wnJT7LqHyV3u9Avh96z9M/+WVfXWdAzUBYJP0Oz/ocW3Vv0lZ5+11sh3ciZxi0uD64cUNMvmdKrJVqhE6EinoVLcZDbhgv4pxxnfeRHnpQv5/7E8aGHAkWA7rkT0z2h4f5F7y+uoqKiomI41HMePCZ5NUWKqQcCBpNUmvHwNioPrKlw2DDwoJ2rHrnFSgOS7jOO4io+aZvtGgxe3gdPWuXrsVmDAAMWIJ17fx49KORAAQnppQGjKEaGwpoBjxUajAxnoQTkpbFecYnPQJVX18t1QZGA/qSDQTaNGZSDHBQbukCjcHnvvsrqmMYWFzkpuB2dykvXSapb0kN86kPCvNc/l2c+KD28SANNPOHq+JTJypAGYTzwgzjRwWDZWinyIN2eP35QSXrKJ7+2a8OvcoV/KLFcFTwCoImZZNGpOvJr+7mymEqAcyn5N26gTeEpzCRjysYfQpmVJmUqHlaOxOZU7gXFz1DuaRDqjaOiclIKMdBayIg2yLEVc6tTVjGVPBktUiJSsRa/oI36OlW6BilXqchANmE28nH46a+Re/5av6ejK2W4HPtx5RAEvt3BKJIr26wa48QCRp7kTX6lHBKmrKbiicLZKKfwLcvJPMgf5csrNfAQOqBI+ZjXXGmHwsM8iVBpUVClaLIN1VtRKUsZQPOAy/JyplqZu6bkTQnwSOEoeMUpgzy4oTG2LFfUR/8wNpxE7eGtfRgjurBio/xpeuinXBXgK7w23Vzhi/htXtHOjoBfupQr0jVyn7P5Jpf48ICr80B+kh+Uy8rjHk7+4xRF0WTjDX4T6LyTrsxXD3rHVFKRh/Q3iC7wuqKAT+Vd1hXHSo3jKg719TZDjAArtuIZfFOZGM7bt/eVkwNxHJCRcmOZd12Sfvpg+iD/QKyMHE6k86l1UzvVF2EkYRR15soRz/RRooP3mf7KW/Cm5IqReaN62LhXZak6deYeouUjORE9GGui06tFxSjaLYdxl/KKIZdt721xknv/rlw5oMJhGDvihUWD9krOFPbhSVvQBqxiKq7k099Nquw0IilLfaP+4HWuqDGeZPtM9S4AhdFdKKxpA55z3Gn86EezZDchLv/zs+kp/jynLKZ/k+cA1Y1scE1ZY5udf+KAyhbkuJNyCi+8clZc04fA8ozLe0db5JjlTs3+mR66yC8nTZiIYBJG/YVkpaKioqJiOLIXP0jkYKzOXqMA285SwWBgQTnMWcehRpJXEDA0GHg8QJUBgwzVn9sIKXnkKs0UDdy6Yix4IEMZJ89MQDobGXI8kNbpPQA5az87zGVRLnTovqRlsCQ98ZpBicGe/D3ICE0+jqNnK48MNgzGGoCaeB5c5chzGkaRykLJsNPz9M5p0SlHvXIbHXVC8WsGLAbi5E1TH8LZCjIFg87b6HKwT2VGeUCcaNZQ6/R+hn40LYwj0suRL84zjh5M4R/GAKtNyhceFD4A+GBeqG6tuuvebaNyzXzxWQG+x+BTJm5fFJvGgEzDmLwzKumdj9tIRhUz9Ygkkblju1fZIqXiFVf5+Jp0mNV2ii9n2Sp5NStJyGYqCeSbefuAC9jishQHjtlPz3tVnwawR4WgjPixVW4jD6KdCpdwwswTuanIPEYauYsmfxxv2jKObpyGPNpXeVB6PLPrmfQ0kHDZTKJdcTi62oqOEjTKpU+Dk4KY379hwCgdTvGkW/vKljhmjlHmU5FSmUmEAW0AXx+moDitQ0xQzvUsSpR38qSJPxgDvHBOlIFM4zCOkCPLUnlXuKpuNjBIKsdtGltOkitHtI/q78M3bDRRht4DlePVZ/M5eUvZ5jNXsjQNmZ98lZ7rQFzgNslc5Me7lG3Hn2UP8nVlpShXtJSfZMcGqOrm+hBR8YGobTneq3znMjR5IH/VgX5hGn2Eiuvgfda70sE7LWcxoaqKT3kuS7Jg3uwOH61O++/YtdPGr5Vd5Zm0w5t8f5pVsLxyiIKcjCV/TzRFfRBb7xpjia13isOPxXqiwwYShlH2Mcg27yk8gjizpCVHyCNGEDKTxpC3zIl5rJq5r9S1+RYTwxmJ6t+7K3bu3hk7FXdH/w6lVX1YYWK1ERlRTOI3bcXFfb2uliGXDk8xkoiLQVT87K97+UN7h/jt4coGj5y31tEuPDf50mbJfz3aj742jaqMByWFGtPh/p54Tm/C+Ke8lQ9tSbncK3FjFOlJ6ekDVToyRv+U2xR8r5L0ykMAvbPFtvUuM0FBf5DvDVfVk0wKPCkFC5QL9MCHXMXLd9cy5OtAmoqKioqKAdAjHzQ6p2mAL4q+jRYPQuUeA8n3xdDB6blxLSOHcYBBRvEwKjwoKczGlBwDj5UhyiCc/KxENANPxidOOzxb7aGFgU2Dhe4oh1PDfNACiolox3BhIPEgp7zJpjUgy8+rPiobDZVB0ppqGXwGDCNWcTI9rkOGjB38kVHEb5VMUz5sXYFf0xSW2+RQXkpZukBfbp2DiPTLgTn9qTf5WhEvdTZvNOiSxAqpB8KsO2nNK7kBuqmD/qlKDtO9SFMcXKZpla3AAT5TvtpA9Cd9Ugjkl7Q39/Jvf+Za7pGFpr2gMRUaaMrB3neKa6PJf9SJ7V6dupdihgIh5cEDO5GJQ3zljdKBn8uSI8wx5M82PPb579sjpZZtUSi6clZI9mFMSSlBCUcDgR7TNWAYNm6wQqFyoEGO8l2ey4ZXyLbaFSVVf4RPlb8/rCe80Gg65ZIHulW4lR6lQSGmPNNgRUjeRSliJYEVA//+FgaSaN2FQUUYRhP3zKRLFjCwbODoygqcV5jkkjsFoiEVJylRikMZ/i0jpbNhpWqzjSkNnVQgG74n70tdqK2ujRFgWRThuXoED1HwKUNXuWyvdBYJilA62r28tsljbuWfKwa6yHkmvNCSsj9Ah2lqq2H6p6zzvuU7ToH5DqOkNmmpA442dFvqnnetlaOTJa+a1UmeCcMPmtNY4j2ibJIQDq3QAM/KqpEqpyI8cUDfQxczdepe9Rf7RCfvfNJsuqi/QH2RA7YUshUPpmUfBE/gsWPZsVVSuTg+hLiO9Mny5xAGH9Sg/siH45CMeORNbR2P9zxlmTiN7FKGSnJ9bUxzlSHtlSFOvbTcSf4shxmODPANEgY8fv7mSs+c8Nm/R0aRDKX+3TKQMLJYOaJOkJQVMu1+z0xoA2SJ77PyzxMHKkt3CmO9Dx4qHX2Wxg36ramdrN7TL4vn7J6ENeRbwHPeZJtln64+VP7kRd/oKOJTynSh0XSmo01z1UnPbmPySHnCESvvyYk8B8ptJmvye0rqnN/SsX3UkzteSaUdUyIbvmT+mYm54TwJyzgJrumS5Ma/oqKioqIdA6PCQcCDOIOPBv5cKcGY0IAql4YMg606anfY+YzC0XTeXk2yPzOcPOPINNMpQFeFYRzJL7d+KJz8iEM5GryZgCO+Bw6PAQwTvjGN+LP6Qrne4sfMrfL0Kg7PDFwoIUWpc72U3HXAKCMupz6VujarIfwwIzO/js9AOpVVnTRmbNAoHXXCEPOqjwZlVpFQPPgOwAMYejq/06M8oJtBnvxycNVAb17BD1zeUzUGWqsRus8fOWUWVcrBpN3md7M1hHCu5n2ZDfUstfJndUlkODzjMniqXDI3UASVj2iE1jR04QPtRjOVgVlpcmUC5aQBSmKbouhRmagoMlLu5OcZaPwFK7mNIgEzlIjrZCkMPumQvPVvspVo0US4lYikIa8ilPQU6DRko3hyKQ+5quQwKRqp6FBxV15+uvoZiDaKLEogDj/KtaJIdkSnLMuD8qYseCteeSKgzMAzsz9Vig7fDtmwFbPJw7PyojcNfJQnKb7iR2PIeIWJK6sHrC7twvCRQoryybOuuxTmH+u1v5wUZ3/LhPGke3nL0T4yoOC9q4acwXcqkY5nfGxUSeFlmx3fHVGGtwjSTkTVf1QZ5/dVdWrawLIDT8hJ/2zIoAhjbO1SPqxiuU4Kg/el7FzBk+tX/XeTj8ogBH7ieE/8TNuY6cHvNPEML12u41Ku3iXLNrTQDvA324Rv8kpOTku6ZvY95bDU01A8x+Euy3S2VBxAv402VniUDgWduuk+ZR3Zz3fH36HI+ZtA9QF6feToKwptepYIiEZWOyiW+uxx39IqTnmqSMMGJvWFRtOEQ6Ykgxj+UqzhU7OiqtDynHFS1vAuGSrc72Jm16qnnZ6VSn/kA//1v/Kgp8Tt7E9j3dvqWM3kxDjaXMaLt4zqnpVOtlXuIa4MoR0yhLb379Q9hhFb8DIe/vix1Y73bmCiArmFPtGpK3Ks3HwvbjjObq867Ra9Sie/rFl+n9nJSj79Fu+k+2XkQfVQn+3KKgXSmLVXm+nJ7aJ7N6X+WvxQxm5XxUneJK9yPNOzPOhr3WcX/kN39uG6Fr/sZ1LWuTa58f2u3429HD4jL/tzzDkUIm+kGfDP9095UQ+ylJ9jWnbaaKAOJGy99xUVFRUVI8Fd6cHChocGA5R+3LRpHRqMyioJBkUxEqwAeoBIRcqzkXrGcVQs+VhrUDzuHVfxcuDJ9DnAMdDlzKeNK+JpIKM2iup4zqukzfSZV5Y3ySs5Xs2SIypGQjqUE+qTNHrlCgWmDKyuA458FJ71x+hhRSi30HFvo6gMWuTvgUo0Tp02OToP47dHoB8aFM5AigKniJklAzGDMqqHaOLbIuk60q2zrork1QUNdM0s7N69+TF3/qZPv9LpKn9lZRo8A04Zdqp34afD5NfwyaVbWUyFBOBNPNeRU66s8Cu982WQJ06mJ4W/2bFGoScGYl0HtlmRr+rmAZqyUErIIp9bNKj+KD742k//rDCICVZ7kKGirPGBeaMENEp65oMSAR8pj7JwaQQ05GA4iJWtMN/z53TlWffw23GgrdCEv6ErRlrKTaOMJ7+Q15RdtTVObZ4ym7TagBLtpHXGgqi3ks3s+4BjixwGT1l9EeG0vwixY9sbxlEaMgqXt7fYyfGRO9+EDDJyBH/HpbRcuGelaNfu/K2jfq4qb6cVV+XjdlMinHnrG8sFvPAWwpY8SVCBEkCjjTJpec2R4Knsyl9lUlfTwz89ewVEPHf2cj54QfkTh2iKPghEJX+3ecmLeLmikhkhS8pZPEdhTFmmCjj8Her4pE1HQa17OfROlyB6AP4tGSC6wHOTztDFXUtzX3iVJ0qm84mT2eVJFvJZXYXSpFLPRAtGlQ073lPyV3bQm+UraxpwEPK9sCFEhZMCXxqFmauNc/Jo+K5sWnnqr6lfroZlWLZvvmPIG+G0ba4ISW5oYxlEdmyzY1VIjt/E4kdad6mPsizqHiMIA2mXwpVK1zT2yY9jvDm4gVPuWifdyeVvtCFDJtJ8YNuef2TXdMhAUh7ImCsi5HvIxF2e0tfZ2alrp555R/OdVXVUNzl473rqHjbCCeUDB4nTPJM18dIYxz/RavviqZyUpzKT3OhO8clUjhUh/GlkFeQJwMZgssGNMTNZPKZ99CzDqHVqonLNskmX7axMShhtg8v3kPZqb7NGBqkL14qKioqKkUGPetCYpEHcTgONtzBo4Ono1FXGAMaRV2hYPbFBQEfN6MK4oA5bHbeVbRxGj5xPVNKAgXLZOA/odO5NZ6+r/lOZWYYNJDp+5a+IDm/y9iBBPIWRDwqst7YRj0GDAYd6QJPCUZrQiFgp8mlhip+z5CVf0nD1s+49yGZZprWhgXQK82oCilCHyoYPbfGbfKxgKi+qwew3ypzVv6IcQVvDN6IwAKdyIMVECkZup9ujwZTpxlQOMbBsGEEjeaOQ4yjXdSo0EsY9uSod6XMQbcpto5f2o27woPjZUecSPxUIjKF0PlHP+UADtOS9+ZdVKuG6KaD2OfCjvENTlqeYukMBT4UiT9VCpvKecDulzTyKwseDlQ/aWsoHioeeRZm8oF35kCd5kB/+iositluJMThwCnD7o5Q7S4hGDuX4Q+F0W+JHLoVXwPf86dkrZcWRKSoYsuR4/l/1Lsoiyl6j9PmQBCuIzJi3GRty/pFWxdshRXIns/BsdRL/aQvH0R/KJHC+qgDGJrPV/jZBVDD7jkKb26Twm5Qz9aV8GxKlTNDIjt+JUjcFOq4iqpw06nAkSZdpG76YJ/qjbcxg+Tc8Mm9oM/NT0L2TS6F3AwhkA128o86yESpH4B3ifdIF/isOxSCDNlQUx5KiTC23/JV7r6bpalmgVQp9yE9+hzPQvvhlexY+lJgZln6WDfoCHOV75YKVjt26x4DD7VEfsi+33yoefZS33tlln4VsQbJ5AZuTfPFAJU1m0ogtqbl6VJrByHrRysiOnAyavXzf5W+8Mow6Nwd9YKBYvghrpW9zCkMu4YFlVfnl9zE0D7KEoS1jiFWi/h2xo397bN+9PXbs3lFWjTCCMHzowyRfio+sYST52zeMKY7p1v1OvrMq/l6lsjGUhzCk8QTN6m/a2p73yfyGb+qX+Q0oTuSbpjGGH8/FYEJ2c1JDpgVtZ5nQvdLyVpIP99xmK/Kn+6YMXS1b5Rm4zclL/QB9EqtFKTu5bQ4jJlf5JFd6RnbIJOWHPm6q4k1R3eRYUVU4zzaa3ObZN7ld3G7KU30Z+ZBn9ofUhb4981UBeW/qQdKIq6ioqKgYDnrOg4Zn4TTCWPGXAWBDaZoUcbY06IofxhGKAd/9qJ8uBpMGCivXbNeSs5GQA4q3WRHGypIGMXmWAUd++GuwI00aT6nkO/+m45efFTddiZOrHTzn4GFjRM+kaB/0yScHDgY60UkajAfiNgOlw8uAw6Cmq40HXZVLhptechfplAVPuBKXOsAv+Tkf4kO5y9fV6chJg7PioN80R7ei8KHwetUIA0RxACs0zOCSEXna0MniXS/iUVvKbwwkxtVW3ZxQ0VAwXE7mnfVJZSPbhCsJU31Qhn4mH9qUVTQbrI6f8gBfrIjgR93Ij7KgSc/wjmfobhR+h+ra8Bna7E/dEFsMGowZBaAIIA9pJGV5IBWObHMbTy4kZSLlgHzgFbVv4rHlUYqTXCoYJZ6ZMwDoggeom74WWvXgvGxslXT8QXv+hos4Wurh797gvWSB94D0uOS6S2m5dp6YR/gqrg2R4u8P4KUoolDaiFIsK6m6Z+uSjTqnd+pW9vijEHN8N6tIXklCaZV/E8l0lbSmhOSFXpwNbO4V5HCRZSVcZaM0owgS0MTPPLmUe7eB7uCH/DACmt9Fwxm6OG1DlwvKckBGw7hnJUZtZznVP8uYnmkPaCAueaBQ+4oBT/2Ujx69nVGOIGSjWSnhj5LkrTKQuZwQyRyBZIA/5dXIlmVTdeKdc/+DX6Enlffyzpd3QkH5LH9FseOZepE/susy9Ee52ZZEQFaRXehBUSYMIxuDBUOm1E31oN+gfg4rju16viI3yhODJw//KHG5V5h54LS0K9/4iA7lS1q2eOqlt9zQ5uRDGlaMvJrEljnJp0+q25Vb6HKVKfNqrYYrQ8syRlJ/f+zYuSt27OqPvh0yrHTdqbQ7du5UHjuc5275UX62HzWHnyk3Lb7Dc135EVx+18m/7TRlmp7Z5lwMJOwUtwFp4XvDZ0FywLbJZoUT/8aIsgHleCWu/MjHK0GSe7FO9aE96CcyjicaYJzbTn7EpQzdqyr+TjJ/RDb8Pu6WqLqtMYRsRGE0KQeyIC3pXG7mzxiTJOWYBGh7/DIOadO/oqKiomI4PPQeLBolwEqIBn0MIyvIcqw4MGZP6dgXHdPzMIdOGT0o0ayucMy1RyYU3KkojHkMrX88FIVXijBKqhVgK7CpQDVgQGfEcnkMBh4AUmHQEKZ0UjydRmVoPCC9twA5jscL5+cB1QNdGiWK5itHVfOXCnjGYVjBjmgGYCvklOv6U6auzj4NgFb+JczPUoBctssEqoNJJPfGcCAuNBOu+BrQPGtrw4jyoT0d6XLVqShAOFQN8YbvknLQh374orrxP/kxSMoxYBOPj6W591A9RQqQHKtftCttnKtBZbZeBGQbij+62niCbzaU4QXlJc/TyEo6MaYYv6lj8kdhJkfagDBwahlspYIKw6EgOEoqrE072xFXmXj7puQH2WnavlEc+YFa5HEf/jasU5lETkQJWZg25ax2hy75y1EWdUiFghqgIWUbwVPIxo9gTq7z6XWmR2ldD+hD2UnF0oaK6kNaeIUMWeE2nbwvyD/8ZLWPD+iRPcWBjyoT+nKGXyqRsk5lHsZQKMZOKrsc/YxC6W9BvNWJWXkpqHIooGanaPG2KCl+pLFrVn2gtfDarxkVpDncbrQpdaQdxAs9uL1FN3RAj6O73dj2iZ88CNP/8Jv/Fewr/8gTXxROvo9jcqJD7SUWyeUEistqpaLlsgX5y/wTlK/kXhUYKEVXlFBVvOk3cK6H6sl6Igr6AK3JW3nDKEhvtXn2BZSesuF3VWmITm6ZPJVT50difNTOykLtzjtEv0X6hofp3MKuJ2Eqy/KRZabMQ5cvLhuQCp42faD9bAhRPrIn2jB+ZQTL7rDx4+1u3vaGjND2Mk4wVMQDH5OtOD6KXX4+ElrhzQl1yb9J0XX4EbHtye2mrVMGf/I2Hd8kccIeq0CWQ/8wKUYS8pkOGfaJdyoTepDTvaIJufOqpsphe56/cZJh9KSMpL6dO8rWO1aYWOnMd8qr7WoSRJC+m99uQlY8Nsm5L+BZDsMofzA3jaRprPBPSX7TBjQgdXBbyrFgieGSfiDb1W0iP7cVciSe8BMFKlGRU9aaFR4kFZdZ0Jb0UbzbtJvC9vFj2Rg++e7Qd7CKtKdfue/NMGSKvKiFD9qQA8hDjpX0d4RTZsphijn/pZSIZNNdUVFRUTE6cnQ9SKAcDBgidMAoD3TUqeh45QSFR/27t911qnOfxklC5Zfbyw8TTtEAy/GzkzVoccISR9D6mGcGBAYQde5WLrmjg9dNzvpTDXf9ukfp9Z0uKBZSrDQINatU3qbFSObRTANIoRU0g0sq8MrXV9EL4SWcchlsVYBLIY+mzh6NDN3zf8mba34vlXmx0mJ/0ZCrL6RXvciOrOVPeK6sFJqKc574Ka+8F/8dB/rIADI0uHtUFD1JCsO5/X0PD4mDYoGyjAItRWOXlBkrhIrr9FI4zC5vBVJG0AVfoEX0+iQ92rQYRCj7NqSoJ7yDrSh6ahK2XVp5Ia4CMAoGVv8GXIMWjaIDqt3uYpBninlGiXBMQbSl8eAC8x/5YRCpcGj2M86GhgiRXOyDb0WpaJRQMvXVjKNdqIuUmHJvnrt9Mh5t1NDOKVNS6dNI4tl5QCW0kx3poDOvBCfdyITSiR98p9TItPP2ZIL8WUl1+1JX1Pmm9ihwKG/wijZVWWo6K6DiEYqnf4TTRk8quMRj7p/vG3b3SxWVQcrBCRyiQByUZxtgpCEfXZEVtwklNmymCqLFdVAb0858+N78KKblUWmoC2lBXlDcsn3taMsSThJvLdN7gnHEtij/Lo+u3h4qB19S6VUZ8EMO2IAG+eh3mwy95RUUf0BxpUiBG5RdRSl5uZ3KfaPA0iexAuHy5XwkdvkdIfoa1E/no7+mfUHek7n+QQ/vOzxUXIyjlmKPkz98S9IKn6xkQ2/yC39oG7iHvlJGCeOed8QrP7RnkYc8LjxlgXeJgz8UYGMIRZ9DJiYVawA7gX4hv+vBgJzs1RqO4WaV8oTjT4iujsPi8GnT4/DpXV5hIb0ELMvTvQ9o4HukZhuc/L0yJZfGJzSljFEdvJyF8vD2PDkMbNI32/JYfUrDK1eOINSrOapz0/fgzAflqRD3kfDRHIJf+NE3qN040tz9EXJH10DbKK1aSukxUnQp9jS+aQT5Tn+IWLYXNLsdYJ/iU5csET8mWrKNmMCh7ykFyQEIbe51Vf5iV+zZpXea1SRc2W6XYyH3uYWSMj2uGeQhepwVDBUFECckP/Sgf343G7+KioqKimGglz1oDFISGQDs1PkyBqh3HthLT0eugclKHwcaFENoKluaWDlSPlKE8GMPvYY9O35lnMFB6rocVwYkCsjOnXvlqscyKDqMtBBAWj1zRKr35aOAlmNTGSDRTIjOAIvywnR1eU4jKRVnlNfBg0nGb5wC0xU0tzmTrfQ2GMyQVj74Z1opFnLwirIbXjbOBpDSoBQz1rUUJc8+Ez/TeOsbcRjJFU7e/hZIKe2kiLFK1FxNhuKi/HrGWIMpSMUr8yFOoxBaEUbxwMizwVmu+NEyhZ4sLxVjr7DJEZD1GeAZ95x42MgJfIA3rouuTT1Rqrg2xnHSl0oJ+UIktFkpIC20QpPu+a7NdJhe7lFwaX9oSdpYsWnSWpYgiPx1dbzybMOUNJab3N7p7ZLKwycrih/Kwm3lPHz1RQ6FjLjJBzxZpeJKnuShIvRIeUmXDXrxB0edmu+/nKEAzbntCfLUAvCINtQ/K8N6xsBpjvnOLVOsDElZdXuzaqBwaV9ecRT/+dC9X3HyVLxUcq1Iy1EOLcCff48LY4imncpzMZR1zWPz4TmGjuqj+EyQEOYqK5+mjUH2DfJHJsiDtMqj2Z6Z70/ymGcbR/CRNlYelhnyyuwMv3ci2DIjR9spZis+fyWmHcm5QiMHqDBxY5knb8mLKHb7TVNfNX36dNUPOZoa0w87XM9d2f70W4qT8mlJcnqKaujdp3fPq8eleOdf6kgdLBuAxlU28nF+1If2slNbgJThrJflRWWjPFN8s02QCQaOAvf3RpINUiIbtDsrSvvk/MOztHMxXLxyqEyIR1uz8pjfOu7xyg0GT9f0GTHryFmxY9uOeEH3C80LVnQOO/zwlBtkToZMY3hnutxW51UjnMpKo03lUKauGOxpROW3Rj7ZTmm8FY/vkJRXsxqS9aPNsp/h4B2PMfDEDOYdho+KK+MNH/cjGIAaU3zSILwTz+Bzjk9OZmMIl0WREpmVHNJGesRnit4Xd7m60myU6bbyyhEB8sQo0tiDYUObZl9CXP1HXLl8tofz4o5bHMGNQcT4pRJVZ8qhDHiQcfKeRISJn+Stp1zpI4IeBEuLCxAthVcVFRUVFcNxSHpHlLZcHUnFhf43O3yQV5QfK6iece2MTjkrLVI0GQBsGOme0Ud9vsYVGTZK6m82yqCwd4/85DSuahDPAYF+34OIrp4RRElASXH5cgxuDEooO5TVchp0ysDDiGElvqSB9pZylCOfBu2BrTeUS33wdz0pRil5ZhDlCeWlSZ95qCRduCdv4jmpk6NgQkMzuJMZYXnTKHk4lBRfpUTsRrFRWnOhpOGeFaFmdcjfKZHWSgGcVQoPmlxRmlCMMk8rmWZoDrBuH9NA/hxPDP2FP4RRYCawn/2RA9ev1IP/5MgPEKfhSbMqQpqGP57ulMv4pDM5fhbnHc9lKXLqAyiQebWyYHoyDuVarqTMesum5K9ZtbKRzr3LzrjIQho2bU4F2s9hKRccJDKtQ0qyZLlj2vTolPNKguUbGSat8hMpTRroZVUEOeMef+i2DMtZpiiHeKLNdJq+NJSa0+8sX5Cq9I38Iwd5R17Zlk3bWgltlGO5/Ig+HStLuyUfbLnbLiW0b9eO2MF2pqKcko6T5xpFmSrxn5V9s0dvpoyjjg4MXQwjjIvJercx+KCHQ0I4XpkZeuqfji2bvHqp2GJYKU+9j/AHI5MfPnY/gqzpyiEa5pdy9GowPIEPpkltqbS5Tc0sd/1576k/qyISXcsryCqIBuVBX4MHkxPZHaRcYrR3HTYjDpObprb1qZycfNZxmK5dcoerPVjVmiZD4Yg4vOuomNY5vdVurofoZLWLOMiFVyGVt9/x4jwhJMfkUIeUX46AN21yKXPZxlybbXI2bIpf41wX+rlUf5MJBvdF1mhz+gw52hsDxXKAUYKR5DAMY9qbMpRUfPT3RHruOqwrdu7YYeOIQzJnHX50PPLID2PW0UdH74964/uPPhIv6OnxVrrtMoxsHLW21alMrqWMPLgjDXavLrXuMc7kyqpTY1Bx+h0TONQBQ0o3pY1VQ/oK1zVXuCaziou8YJBQ/zbnP3jr909ypWcmOjBm3CfJz7IkfpmT4il9j1Pzn1LQB7kPVPPwVuDHu5CHs+REoOW2tF/mlOWRibs355jXzBfonnwQS6W3fJQ8aO400vSMYedn+g6u+V5DCiXRRdpAY3wUrwubPIYgI8hCiwLSDBBQUVFRUdEGeuCDRg74DDLZydPnegY3+2J3yu7QGXAo0tuapAww42pFkFFBRo0HFw1Yym+vMtoXUjbZuyPlwT+ap+wY1DSMUGo+a3DwoGdjh7JyUMl4OSCkQq7y8GOgIS+srxKPwZT0NtRUnlezSjrodjzoZ4DWDfXLgaZc5azo4+AFA5zLxC8NBhSk1rYjp8u00E+exE/P9B/IP+tjxnI1HShKEMbpUWxFSeONuHkQgBQchm/8zCVAOWVI1yid3xmVsspVOSuQGJTPbRNHdZCHqmb68QPk75ltDcQNXCfn0YTLiaamTi2+FD7l9155b3pFG2UrdeZRSHKdUdwoTx42FBXOvY1dUdUYH0k/MiaNnTZl1UgKLSsBXglUfCtJxFUmKBb+zoc8rLAqPxNBPtyjxOepV2z3mibjnvtcAVW+yp/tVijCU6fq2Qp+KsupvDdKPzKW+YIWn0pdXTYaEnHkrLBb2S5uSDhc90wy74KycHaky+xhGjXK2friPOsuXuKsLEspxX+Hrtul0PIxPN97+MN5OSvkUIhmhxGC/KoA/45Wh4yhTow3GRUyjDqmTZExIT7xQ5wYSYpjw2Xy3pguI2PmEUf7+0PdymjaJzfFLn9kWu2lrNlWl0fJp6HBREduR4I/GMVFJpEZ8SflimeVxZV6N8qkkDJHGyh/tZduVJu9yltt2Nklfk4Tn9Uuuk6T4dMxDUPo8Dj8sOfFzBnHxpEzZquOM+R/WHQdPitmzvw3cfiMY+Iw3R8mw+iII54fR8p1Tj9SLo2q6V1HZF5y06bpvuNI8WOGyjxMBtN0teNhonW6SOkU3WwjVj8oeT1MxhYnlbF67m/P5KA/5YR6pmwjL7xy7ktVN2SUPmuK8uaAEcu9pRq5yPdFrYA4yNBQa2IQ8T7ZUMk2tmPVB3mQDGAwIWE50bJX7TEttv/oyZjSPynEieh9ZGvseHJ7/Ojx3tjyyCPx/GOPjccf641d23dGl3i1uxg/5Kks5CbpGYM9DTXyt1GmeJY1yveVrXhso9uhMIx0hSuO06gC8KLZ7gkHLP1q7uxLxDveGcsEspEuV3Hkx7jhKzKQ700akKy64a8YSuutmwSp/s2kkVNZ5hRXJQffK5U+DH/LmeIoI1/JnVeG8ijL772e/VtZ4n3TjpThpU7qIPJspPGOE6OtHkwu5rPSKU8MW7NAaL3TJW/aOQ1R+esK74B5Bh1CodY0VVRUVFQMx6QFCxaM2kXedddd5W5snPbaE9xxN7DC3BooNJZ4tKGjRzFF8WFLnQwfYpROPwcxdfCl17dSxiCwl73xDAL8to+gUYdBZe++XboOdPzYO3yHweyhbQc9o4R3oEQp69z+pIFRcTS+GJ7p4+pxI8u1UeC0CmPkNd0MuiguHsGcBylzwHYqX/lIm/ygh3yAB22l8TdIGginShET8a4D8djW4ll/KZEMZKTDvxl0PSCaHgZx5Q9xSg+gmUE1jQrlqLR86MwRzR4lHQeSoZaBXX7wQP600d7+VEpyEEUR4XdGSJr1oV42Gqd0FgMA5R+FLg2mZjCHJpQFCkNxTTqVutBAZg3tpl/3pAXw0DPHKEqsXEg5Iy7ssxJXBvc0jNLQ8kqKHMq0v89BuVb5TbjjK19m8KGV/AiD65P43kbPKIZomcgYygYNh5zBoqYN7A+tKEOuq3jg1RFm+psrfJCCT1lKTlu7nuIfLGxOJrQh57ZSLMVRbZSeuKSBd0QmPHnl47n1Z/nRcyqqKLHwSffOF5lQOt4dQVLKg3mpKgTfFnm7nBz3FMBvWPHxOnVhZTaP8N4nAwnFVLzwWVi58uTtmckaSBavde2YJIV/ckyfngYSq0epnHJNXnOyWP/uHbFrx04ryPhN2tcRxx93UvzrQw8o/53KdLdo6YqdO3e5n2DCwuIiAwHjhdl7Xmp+jwkDzp/BWXZpC3hGdeCBytWtRMC8g1hqyv+Oq34GQ5bDX4iEnPfv2qk2FR86p1v2t0sZZ0WQj+RR0Ds7j4yZRx5neee3xfidnl3b+2KmjKIZM2aKJk5R64tO0XnEEbP8Gz6PPb45nnxiq/ggauCB+YfM9pvXZiQHoOze6f6QFREJn/M3j0UX9Zs2vTP6d+5Q1VUL5bMXI0FtDyxDKPmKR55p+OW7gLE1daoMJBt8Zo4Ndfdd+CGjMuwHtjKnAdZsW8y+MVRXVkjY9jgljph5RDz2xI9i8m5ltyNiW29vPPSvD0l+urLtD58uHnbEMcfMir6dT8a/6T42Hnvs+3H/d74V29X+tI8knIYZkH39wx9YLtw/p9zohipLDjCuss70DT60RXLB8db+7S4xzH2w+sxOdafTZJD7N/fUF4hsyUPmT1GsoHNEuvt1PSMvDTzJIvnMb6O2u03yOzx+C4yyeefUr8i4c3MoKTnD3ZiyR3ygHSCb/kI8Ey+5mpeuq/jvtufgheQF9BPHOdEH0rcwLrgPY5Ue+hSmd5r+x0e3K57HTuXZGENNv2ieiiL6p+zrVIaS26BUlEkMjLxbZKn2tSHlvk/PIoT0933r+85rLJx++unlrqKiouK5gUNiIL3iF04sHXV2ur6qg0bhtMKoP2ZFraQoHrO2U6R0o1hiHDDI03F74GEWzAMBahoKYb/yUQirIorLth6UXX48FeWDQkqJHgQYLBRqeFsPA7BGNwwkD0hWAFihUoQygPtW6alCViMHDitchItODYU5sFEfXRvFO60tEmoAFgH4kT+KWLMf3t9doYiIhCnwQdHTGBHNiuetIx5k9cygrSvlN0YRRZhma5ACfGBAZHaeOig8T6wSTyahPPNFb9Li+nBlhQQyURagvWyrYZYXeED11jwMhoG0uRIz3fTbIPCAT3uKPuXjE9hKPbmaPwojPYqK6S/OcRTGH+lzsE8DifLhiWedpRg0gzn+pEHRYUsQRDHjj0IxnRUcKUXpl0oQZdB+wEoDfwonjHgoBj4dy4oXSgT8ziTExmCCppzlTX8UoFwNUnmSI3iYhi8z/5QQMsTFJ10Js/GicOjFbEJfRd4sKs4wSYEY6MW4sPJL26iexLFBqKtlKH3Mw2aW3waeQ5CplM2GzxhFNojkPJOMP0qm4sIL/6Cx2lHcsvGxU4pgv9ocvrPlTmyz8sg7B+CLDSApc9M6lZ7fOOvgnZKfcmVLGhR6W5zuaMfd/dul6KdsUQYrJC/ofkn8aNuOeOLxx1T2DrWdDDTJvxLYGOnfxWmLvB8yxIuMKqvop12pH7Klqy76L98Fr9Dq3qfB4W++UlP+F30YSDJk2F4JH1LuxBe5aYfNiM6Ow2OnaJje0WUatu/YLuPomDhm9gtjeucM5TLJq7L9MgAOm3ZYTO+a4T6Lk9UOnz4jDj/8SBlYfbH1R49G348wkFQnGYg7tm+LHfLv3ydjTOVzGty+/h3mF+8RBhZ71fbs3h67/a0OKybbvfLE7/Q8ofSSBvtTHvJCG/P+0R/hgV++k5JFGUdTvYJEWyhMbcH2UvddujYH3kxBaVdHNGUahhTy27zD8MVMs3E+Q/WacXhX3HvPPfHYD3pj66O98cijW2LHDtHtvoRtz3viebOOjlf+zM/EWa//1fjOA/fGN9Z9NbZteyyelDGYbwb1xWrh3cQo592nHSzRfk8smfyTc7+vG08CiKDsAzBupuldzbZz/6a4rFxOnyYj6TAmLpgMo6/ifVO+5oKj+R5a3TUUUKb7BPc7fIO1w2NNrnpJOndBA+XnYQmmj4tog++8C1N143eA5lAY77LjuET6RL5t5N3MfohxTVXJOKqb+0LGBDl+YJ1tqdk/ijbKVV2dlhcSXyWEJ6bXjYUv5SgDIcdR2o/6UobCbeCRH7TjMpBvw0yI8P++/YO8GQPVQKqoqHiu4ZAZSB4c1PnyB3wakm49cKiDnyylh0GVWUsf5c22Eg1o9NKeLdbgZ5BGDgWV2WwUZAYTBjiUR4aavZM0QIQMJ0/5Z4mpQCptM0jpAZqYPXQxAgMNf8zOsuKQgx0Dj55VPMpWc6iBvI3cepEDnAciFDcKEkirB19tCHoQgnindB4oAKlMK1zjnAdA5WlDCONI8f1X6uL6Qo9oaQB7GjAwEpQDrDxUFwbUNCBl3PjwBQigXuSJckFEFPFUhAiFv46v8rha8ZCBhGFHnf0hs8qR2qE6SGElrfNIAwmaWYlgRSxXj5J/wMd9m7iE61j4xB9KauMPH1hFoHxm9pnRR6FO+kiHso4qxb3qo6R8T4QSifzkdz/JXxQ72hHqoJYHf3uCFkLZcq36UoaMBsqzgaqyKIzy/O0B9OovFSsMhPI9Cd8zqZ7NChr54qbRxiU+4ZZD0ZsyTtkqy3XOdraTMesDOEy0ytYFf7LMo46JJx/eJSYGlBQ6bfTISKI+tBUyO6AAsb2GbZfykCh71Ym2dJjyVlkobqzgkj92FnGpPnx2mbZG4LjyUBnwkvkFvjeSDSGDaEAxZIWWZkdeqcY+yR+rXHukaLLSAo/4jqevb0d0TjsiTv6p0+Oe9d+Q0dEvwyXi2Of/m3j4XzZG5/Rppt1FRqevPpZahOV2UpPicoholjUOhRiDickS1cGTB7SN6mgDoOMw0TxdciVNlzzU97BliY7hqCOOkyF0eHTJIDjs8KNj144dceSMI2UgHSeldYbyUZtSuMvEmMA4ENNU+emqF8bGHhkDT25/wqer0VY7d+2IXXp+YtuP/KOoNM4+Kd9MhrCaRX47MZ5kdO1jhUrG0o6+H8V2pcG4PHLGzOA3qXbs2CpDa6vaCBnMToz3j3ahdfJZ/YsYOaWjS3FkCCoeNKXBrTDV07/ppXuMVPeBrFYQj3eZZzHTkxsCXQffEc150UnxwHe+F//wlTWx+eEfyKDrd5m8W8SUlFuBJ7/Zs54XZ/ziz0ff3sdkhO6MR3+4OZ7sk4FnWeNdyIwpAx7SZvvUZk0fQbtTG56a76Is6/jT/n6g3VlBIq7eb9WHrZqHdbLNk5VMPSAHyj+/BVJ+usfQb8pxDaFDj9nPiY/uB/gOir5nt2Q2J2h28M1UP/0DfTXvY3k/ZbjkxBT9He8FskdZ2b8Q0Hwzpxh6pt0oWbSoPp7co2LmpMVIfdgkb0+lHdwMDuc9JhZ55QQIEzscuJFjhGiXn9uT9lP+7rcVv2SveLrslp+u+PH+U2hz2iCpaJNvr3/I5Y2FaiBVVFQ813BIDKSfPePF5a4ZAHSjzhhFk2HAs5gM3oFiJgXTSqM6fg3uwMcj+wjT7Lw9DmlU8p9691xVYeBMpVDqoQahfg2GKgvFEoXBo4IelTfxE8wqMmjt1UCm/BWFgWQvAxyDivJiALfiqLAcaMgnlWjGOE7QIxXhDEaEetBXoB3FCNyTj0JySzl5U7ZgpU7/yM8gE+hVGR7o+BONzcAHGtoAtBCH0rg3MWRC3c3vdNwrl6TLZWW4lRIRkN/fJJ2AvHZ7NhIllPTJa57RBih1ig1bFCnlQDt6sKZstmuhgMqpGb3Nhzjic1N+Kca0N2jqxdVtLC0AGvjugY+z/U0E9SCMeqtqKHveIqerqqJ6cDBCKn25MgcBlENdKVhXlcWqDb+Yb+XPNJUyVT8MIzQWl0HddYUuP1N35ZGtK6NA/ijG+V0IsoyBpDqUaqXiB38U30VlHZWTaEulNLlQyhOfydrHYVOK78mHcslUMaWE822G77k2dIl2VjRcDxSdtvuSafKQFSPqJyOD+PCOZhWRusfQZTsQfvltCOnIy4SIndCqQvWIEogBiGItedCrq2Z3O0yVodQcvkCylEWV7VXAXX5foffIGUdLgT08tm7dEj0vfJmU512xadMjMUXlsy1r0uTt8ciWTXHc809UnMdcJo1HHfTPBiFtYf+spcvL36tR3VCMeenULxBH3Hf8KTKK4D2r1XxDxBYzDiGYPq0rZsx4noyyw3Q9Jo45+viYceTzYvrhs9RV0FfI+JnepQKyL0keJL/gETLAagClND2Nfz9JPslv1ZtVpJ073Ibcs7UOujGwUfj7OdVt5zavtGEY7ZBBse3JreYbJ7Z1dk6PH255OJ58QsbJjifFI1btxHjaS3lxEAvChgFEXBElHsh6hSrRBi2smvngGsst7yr9rejmXvn5lEalg5eAeoFdT+yKo7pmxef/6gvx8Pe/b/nqlBJ/1GFT4vDOzKdPBtOTO3fHdmxOGX1HP+958R/O/qV4ou+HMgwfU10ej+8/+rB4pgzdeUrWS99gqCzydV/gSClzyD+Gl4KElHfiwW0bSKo//SoroNMkf12H8dt6tLHqwUqi6oRM8ttGTX68vxhatB9p3U/CP13pc9jGuFdGLtsr6YN3S0byR5PVRchIoquARJMuGmwg637g9EVWyXjHqYNkgfdLLwltwMq9/rNf06+YFjl4wYElsJ0VJPJ3ESrMjpdMaWhTeM7EEf0l/CAcJD9Vjp/oc7inPMYTeWEg6TkP6clyKcXjrG7ps/7pnn916rFQDaSKiornGg6ZgdQMfAwwBh24/tFZM0hMwUBi5haFG4UShUNhDAB6klHBPcmy8yc5s9+psOOnQU2OSBqyvIqUBpL8WU1yoer4Cx1W1vQ8VYOMZ+Y8MKpEPaNQmTLRkQmZkYQKPWrUSMUOY4UKkC6HIJQKK9uOp2eH5UCH86ytBiDF8rhmpZn4lKsBFMqbtNDHj65SvGonp/JKPZv8Mh68SNcMjNDIX64UEVb4gzKX5Dkt9WZW1LOqGoVNC/WUP0hlAP6ynWSgzvpnhRsDYwq/6yPFCz+Xbe1ZtCkrlEZv8fExz1mwy3HZKASZhkpaESr1SUUsy0GZ9q/qy+Hh7XauJ0rngDLAszOCJhReKSD+DoPyiuGXFgtxmzZIBZ76QrkenYdnpBEd1WPAwMi2UCwbaAB/ntm6g8u6ZXs2K0hOY55SP+6z7jhmfAkzjxRGfsxoZ52UN4o96U1YURZpM9pyn9qjadvyTtFerKZ4lh2e6GpjCNpVdcjmmyIly9UxDAyFWbFCKSON/rw1cArKdCqjuQoFHU6KDqh75qJ1Lz9Wj3yEt3Q9ms73isMzvGU1KVOqbMkb3w36xz+lePpgicnT46de8rPxz//vO2rvKfHSl/50bNjwQDy+5YdS0CfHT82dEz964uHoPGxfzDry+fH97z8AI5WetkIulbU5laW4NVUkbxSVhsaclch3yAdj0HKSk2kyhjAcWEE68uhjFZHV60nRfeyL4phjXxjTDzsiZkyfGR2HHWYjijqjQyJ7uzDY5SiMlUpKR05y65To0f0eN6CUcJhhPopY2l/3NnaVlpVibxWGZ1J0rbzKQMr261d4f2yXgbSHbYn9nBS3PZ548kdqy77Y/NB3Y9uPHvO2SA6u4Ru93bv7Ymf/E5aF6dMPt5HklkUeXSTvuuTV3wvqTRBtyBYE4G8ZloNvyBj3nuxQVfbIWP7Bg9+Pf/q/345Hf/iYeDk5ZnVNiaNkg3V20pYR0+S6bJRNjyfFnn/Z8qP4oW5+6awl8e9+/hXxvQe/FXd97cuxa+f2bBuVQjlJQ74f9C1ZtORHjkfeFd4PsdW8bFYObVRgdBS+e8VF9HZIDjunT7Hx5pW9KSTMd57vg2hn0rrP510kVP/Bqxxb2E7Higztw2/A9XuVkW12nOK4W8aRghWXXNWs/Idkick4tp0SgL8nRxxL+atsH8lPOyAXKh8Z9kmsqhJb+LLvkGwoSfMe+f2HKfwTvd5Zrnp75wIhFkz6AepJvyXfws/sW0nKiiZEIJ78N0VGuqOTGUQUWujDlLe87123Sf+PjWogVVRUPNdwyAwkD3rqed2xl6t/UVz+Grk0uHF6U2fwo3yevVRHjsHEsMWgTkdN/+0Ro+RhBVkDVt4r0EHq/aUMsZ0KJY453L2TpFwzAmiQ8KBIXOXsFQYGNNFAtgxfOIbrZlDRv4yrK84KbFlJcTjBAkOJn6kPzyW9QV2hRHR2aNABKADcEQOFjagMzNxYiaLmuuKP8kCZBsxQfh5A5Wz4EN/eWS8rzTniFT/4w3P6NTO1bgPlpyfTm0pe8gigGPj0qDIryVYr0yZmOVelnao2m7SXgy8UpkolH/S/s5DSwtYQGUjkSRk4n3iWoc7HJ9YpPONwdbDD+nfy+yg7pYionUWHFX61H7TDTxsu5kUqTFynTOXQCORnqmfVMUBMUMnX98oD5asxkFBWQCpb3GHqpdKRhqk85XhOAy1lEAXRPwiq8rLeylth/sFS7ouD57S3ryoPY8pbkMwT0vItSyPL2U44SCaL1rMe3N4o+/ojLm3STDyg2KTRg1KncPnThl5qUW7+3kjhzBB7Kx4GlZxn4hVmw4fvUXxCZLaVv3MQ3ZRnQI/kEf1P3uK3WlLsy2+xSv3sj+FA20BvphFRokmKp+radfiM2PbENsXfG7NnzY0p+46Kh/51i1eLjzhqVtz/z9/xahJpX/rSHtG6PU477f8X3/3u/9W95MJ14Fs9RYBG2lX0pnjBu4Ze8cwrp3qvkTrkRX97xPsjjjwmDuucKUPiiDj6mBfG0c87Xkn3xhEzjoqjjjo+Dus63IeVsLWKfJAJ5SSZ3BU7duyI3btYyesv7apKq0grrCqD99oTMqKLwy9IS78hgXG/o1ZQltkfYdjwG0/IEfKzVwakLkoBkHP4xgSFUol323c8GU9uf/z/z95/R9mWXOed4E53/b3p38vny1sARYDwdCBAEGjRSqKnRBJGGEojUuyWptf0WrOarVnq6aGWSFFs0Y1oRLBpIXoQNAJFwpMEqlBVKJR3r+r5l95ck3a+37fPySwCWvVP1X+4cTPynBMnYseOHWbv70ScOLHd3xRAWlEW+/5QKttl97aWY31rybNTXiqpNrLLOzSMifp5KR2zRrrnOhZ/8GxgpzyRHO3S42LBI+11TPdWnluMz973uVhbWVOZ2M57PI516jE7PRn97oZ5cz8X192B5HYwHpfXtuPSajduvPmW+KEf+cH47d/5hegNVqLXE0BS2akw3osjHXl5DFX7LkGBYqgtwbPOkY3SeLalaLeMPQZ6SFjlYMfEKu/RSc7V2kQBkLiXedEvc+lnjrXkScHpdpwTlrqFhwu8z8fMEWMQG9wkYPJ3m9Sn1PycDufmhzxVXxTBxdA/RjnkzjhHWZB3vqt4JHPAkQEL7QI24UPjqY+mh0Rhn7IX7YYgHZk9Il83PvHiZcEQVZ548+Q0OcPm95csO93dH3eY0ynA8uYe8TN1fO7Tz+rsxd0QIA3d0A3dl5p7WQDSG995iwdoG5uM4VLUNmb1Y3DnSb+3thU4GmdzBswHKQ+UhpW5QkiHtyLQMZ8kynhCGYiul7BgPFidaLTnhdZgmYmOozIuCuPAT+CVN4VCpfi9GCshH5zeCtPXqaDRHqUitQEtE2lPypLZIJxnDgoFhuM8DQwUT0FPLME/yjnpk1YKSeXJtKmUcBjkykHcKk9du8i6R7rkFJ90rMyLuOyoBG/ml1imp3B4RwnibACnIQId4mDUYyzZCFEwPJWGtbcFFyhBaaZSVUHkbKRQRtWfDVTqSGH55BMDSfwqH160h38KwpITTvYwVJWOmC6RghNoIEfRFr/M+mAU8vFH3j3iqS304Yli2aC3IQA35I/HYZgmyPbGCQAknfu9i1Ju4itPecqr+OJFyQqZyJmo+C84BBAiD8KRF094LQeXN40v2gDpyTdnGyVTXUMSaqWx5w05dHTdQV3x3V50TbkNZpCt8qFeXe/JlLzOuDhgCal4kAcMkCaNZ1ovmx4AZhNs8TR5FwNfHq4w/BTN4RhkHNPQTJn6/bAD5JUGKf3N8jK/mT11S8bsqiWb3vIDBPM+HzZ3tmkdJdZMmm1QFag/dmWTgbndj1mBkU57Pp6/8IRA0ayYmo6rV9ZjY2Mjut1udHsy6sUTS8bYPGCy3Y5jx6bj7Km5aDb3ore/5W/2wBf3zZmMYMtLBfJDDKpWvBuAK7jKxh0ab3Z0HwDRah+L+bmzMTd7ImZmTsfU9Mlgx7p8N5BaHBcfXRnzfW/QwNgE6N52u+TduH2db6vckoHLjcFL3mxTnps/0JbZqALQLMbcb2j91AMzHhjgXYEFseg2OyGm9/dEW/Wcxi/9XOXSsWxnjBHIRSav+Oi5rNwb9LdiY21RwHIttliiJz77Oq5vLgocM06oQpAEMyqysOkTdF/abbncS5k6P3ihHN4cYHc0rjx7MR7+3BMGtacmx2KqyecVRFP9rS0gMtWQvJRmd/sgmpUJ9fORuLayFc8t9WKxp3iVenzjN70taq1R8bYWn3vwXm9AATvIEXkghHxHUSyqPH6YA0tFHwHkUAqPRSxxI51+6AnrEQC6xpy66tkf9AUk6RqgTh/ycjfR8RI7yzT7GvXiMU2n9FXPGrlfJUACHBnYA5b0297tx0DgeG87gY37N0yLgM/VH/h58xLRpB95JkxsAGys68YrjpPjPsCIK9qFInhMLeodASlK8pntAOe2LbkI7xDDtOhm7EznKCQTrXyAwDkRyUc8s7ROfPsD6/uqe4VBH3ocnZf+yPuBTz3l/F7MDQHS0A3d0H2puZcFIL3hHTcfKp80agEb5cCN4uDL8w0di/dGpKgxDDzCKx4GG1u44lAONlAxH/d3dA+lgOG8q9gKYxOCQhGNjPDOAccEU6lgpAiSsmmlsiEki1kqHysLKVd4tXFlpQnvABAAEsbJISUbE5w6P/2suKS87UTLhomiO3aRh6JgZ6ZS0i9npxRgPgFHBZghnhVX8mKjRCT8BFQ/zy7J+1tQxFEaDFLyT8MUpYp5XMjFeaciNB0FGkwURgPGlxLagGT5Fbs1waeNastAZhkg08UwtcIDgtKAgzPXg25jtHjjCy5wOqbBmnLShePmRxTFLoa/7vNitN9X2eHpOeUBtKVRbxHJuXwqd/kklvaTy4SyPOU239xj2RmzSZhU0Md4KQ1OylHWSx4wVZAY5VIAhpi8l7F5Jk00nB8AK9NxDg0DJviAR/8r4pGXjT/KqvatI/VqQEo0EXQ/cV7UK6Bf1/IuJ3zg1K7hT1BHSahj3QcoqEIARga1kpXBj86985aMVhVccQQMoCkKiqJ4WaecE5jGFrt+scxORrSKnzySN7yrLHgMv3HVkw1OvmtEmfI+zjOTOmfHMDKGW4zOA/VZ3rkBqMPj6VN3RbN+PB5+4Ll46qkrsby85u8c8V7Txuam5cEOZPjtfvJar9aVbj7O3DgVlZrau/JwWxS/8EU5PEsE3+rD1IVnEBQO+KnW27pXBVnqvCGAdC7m589FZ2o+atW26NHXafcCLt3t2NpalzE88CwP9UR97e7QNgVg1LYAKvSvigCR3yFSHQy6vWB3vGpD41qNGc1xGerKU+y5/aku4A+jnnbNbBTyUE2K31HPUDG2eWmeHG3AG47oXjnW+IGE5NqoV8Ura70kZfG8zQYPe7y71Iu+gNK15Qt+j4n3nNiynNkwWhPDhqtdtNz2GXM5gmrl4MNtUbGWnrwaDz4ocNTbimOtiTg5U1P591zvTb5xpSSTnaaux6Kt+qmOVRRXwGh9K65u7sb17l5cXduO//Vf/+uoNvfj9z/4a/HcswLGkhtt0Nn7H2zQj5S/6qwESO7L8kiPyVCJQ2Wlb8A//b/oc6p/6qAiuQGQWGpXr0putEfR8UyfSpTtAzr05ewnyLh01AntdV9y9awRD4kchuwEzne6XmJJv6LfkRb68M2stMdhwJrbvwKVJ58AoG1Rztw1NDd0ybGaMSnHAc9mA5KUjnu51DfHBugQbjqIwyEpNzxxxtwZMibthWKpeCoH4SRSPjxMI1xHwskDGbockjP9TKG+/uzHHoPci7ohQBq6oRu6LzX3sgCk1739Rg20+cSKAdcGuA1PBvCKBmc+rNmUYmD3MdbFY5DJoHGc8lgM+uJGOsNAyApDtGwgEigliGJCNWB/jrJRA8YOa8n3Bw43nUKBKCP9QzFx0D0UF+rT59BAQQFGSEdWog3/ByzrYXtxmzpJp1B85G+DmSTQMX3C0yiGBkorAYJT+34qSeghH+WpvLH1DJDQl2VcHa00xZPXuCsEhU2aBJGUX2W2HJAT4SoLMlU48ihnkA697vh9HZ17IwYAiDwG2w6GAUpcx6y/NExkP+p+yiVf5CYt+cgIgKKVt66Vn+tFrBHHhrbzpO4xUpRO9zEqMIq5nUYLeRTLW2SIlMtGyvdlqEPHNS3qrCgH4EiZq5QqEwYzT/xlhMI4FpHuUP2eIdCljS6Fkxr6BjHch2+SuDQ6Vf6K4DpiRsZtRHxwr5wRwmd66i7rWOw4jctOvcOPPOe4lEEaK4risrmsSuM2wbnkgxzgBqbYQpjjtuoK+8tlo74Ab0q3o3rjgYFpcc17Kdvcz0yyrdGOKBK0KVvyw9P58mm8DVXJMnf9Uv0gV9oPoENiUxRdHwQvxI8WS6IsF/cvllpRPrgmP9XlHru4AZL2PLO4IyMzDiZiun1XfPpvnopLF646XkW06zK8azJu2SpZNW6SO7sCSUq7xZN7GXaddj3Onj4exxc60ZyeiDFvL14XnxPRqOXHW8cFiBhTmDnCOIY93jviI64Y0bVqI2r1joBSR/Fr4lsgc3s7l38p8mCwF+sbyzHY3LJ8B8wWSQ7MKNCvas2G4lFX7N4ng5xd6HQx2NpyfrVWW4CgJfmwWYDkBH2VYUR14R3kFEaboX6pF+qd95r4GK9nuyRA8iUOM7w5W6H+qPpnWJqQzJtNZt8lH4E4di9k/KHf+10ZluD112JzYyk2N1cE+Naj1wdAbTsfgw3JlvYPEdonp2V73e5vx+K1pXj03sdia7MbM81qTNeUh+q8MnEQ9dpoNGv1aAtozk1LrpWRmFOZ2XlyfbMXG/3deOiZK7HYO4hr3f343ne/R01tI/78w38QBwKZtHnaN0ec+4PaF9ceqzjXMcctZAB4Rd60NRqXjnBf8MuYTX+qeIYmZ+7qAkpVgRW6v9uvPLIjDzxjK4DID2AEiKh3xkH9adxjrFffIUxtk7a7q7F/e6+vOgIk07bhPMc66HFu2srPM0gKhyYfNjbg8036lTuQopd9UUm5VivJQZ+y0TfNpNuBqSsiNKhjv7/oMPGqQjkf5EE9Qq+IDwhKmRGe3mk8g6T4ypM2iu6Fedqi8xdjn/mrh5PQi7ghQBq6oRu6LzX3sgCk177tRg3CqKEcrD3m68BgfHDAEii+z1HzE1cvsZMBkoO1lCNPvEioaxSYnQd6lAEDvEwFk8RkSMJWpijaUYxKGR4AJCm1jAsxnFSCl+WYtBUBYc7MWk5KSHRMXMafIjgsjVaMIwwa0dd9k7RyLMCV8lHuip0KKxWnFJDCrMh9JlcskbJsoE+gZ09ErlCs5RNUFDbsZMIESOVTfUAchlWZv71uwQogh1gGDYrvWRoFIFsMCtL76bp4wiEjEfRTcNIiFowDCLIDF0qaNezbAkwY3DZoRNsFgQrldHmRl4PkRE/lI/+sF+6znAhlrHS6ZjdBykQ4/PN03obJHstbMPYTGDGrhQFR8mvhIFHaigVFHjxpBygJMMkItVzKuPIYUM6TJ7w2mpU3P2Xu8phPouQTVQMc5V3WVX4fqWhromcg5Mohj5RngiYusz781J/bCicPgyR5+MLwgxYZePknpJUP+fojlSrzDi87kJ4fMyZu8ckDAIkPWvpBAWkUnzQYkhjJfG+I98eYZCAlPyj5yTf5kDcGUzKcsqS9YHzpyPsa3vRC59SZv8mieMweGMirPMwUwRPOQIy+IWhDfJYmAXx4UJFAXl6/dqsj4LEdS1cn4r77no4RlaHTmJARPhqtGt9AwhjNdj4Q/xhz2zJIt7Z3BZQiesyKiddmoxJf9mV3x6133BwzC8fFaz0aVQBSfveH93/4aCt1nQ88xqLON46qdRn5dVU074NJVspvR4b91uZmbAkgSTSWDxskbK6tRL+f78Jlv1FpJd/25JSN+H6PD5+OiK7oyQGy2B2u1mh6NzzafM5o5NN52rf7YzU3FKG+oOlM1Z5ZtletJc/MWGLoSxIpE/qGftCqVwX+FI/762urakK0NXbCU1kKAEKf5b2kNQE9PlY76G55BqQ32PJmA+To/ul+mf2T5YGMKReffi4euv9xyaQXTTXhubbyVP1Dn63r+SBwu1aJTnU0zp06FjedORstgaU9teUnn3o6lla6cf76Znz+wnIsq76+5uu/Tu1zNZ559sns/6Oqz611tUZmXmh3mb8qPfuQjojbY6Hilw93xJqOzMJkX3a/IZnOabPjqmMvt9N1UzKuCYiSX6ZH1OrPOuS4leMe7TMfxKgvMf5xTl3RByUlRnTFVJvcFcgdCCz3/eCId/ncJOwYE3WAF8ZwnQKSyDPHyuRPV4pSjlmkYxyCupx4p936HmOC2gTDKTx6OazzYNxXAhdCZYcGmZAPguCPa4XTzxnD99XHmR3mARf0aXKerRIf6AcekjhPOY8ppFGef/vhzzvsxdwQIA3d0A3dl5obO3369P9WnH+Re+9731ucvbj7j7/w7zzYMoin8adAjDMPyDx9xuBi1ywZATJurfysWlAeGLfERUFgFhTnKETOiYWBqXP+eHLvJ42FIpU5m/GdKY54KCa8NH6hFDA+4Mn56shTtbxm1if5QHthGMAHRh+GHoZVKi7dxkjVOVlhRKchnYrGylb3MB59T0YOythPQ2XAYKAAAuDVChw1eHhBKaHBfR2J53KhKpXOZaNcqTwh4qfROmLglUovDQuW8KTyNUiykYHizDLLjnUa6KEkDSYsD4WJV8fbk1wpL1mZsrM0fStl00p5u86Ix1Ee4JUOvrIGWVKHLP0El1mj4v0LfzOHcxvXlJkyuRpUS1n3ZZ78EgRmfdoQKYx3XRzGU26ksoHBk+sEREqnI+2oBDBpnGFQE58UeGSsvLnnEF1CV3H4cY6xxjHBK3JJOZT5Ewpd2mgZ322VuMiDfqFz2gYypNxs3gDosRy5p3/UL9Q4WjaixbkNG34cC8/7R7Q7t1vSyytz3VOuh/Ki3MnT4bk8s2/MjIwzm4GBz3sdGOUY9gIguawsDSzSUSSKzJGScARw5bbTYlwBXONo+3ff9po4/8xqXLx0LVoysmebYwJHIc/MhGjLqGW75lp1PBostRtjtjGiLR7qFfVb0e32d+Pypetx/dpK3Hn7q+LsmdtjcvK4PO8qdeQno97oeEe3eq0R1Xozak0BJIGkckvrvoAR7xix1G11ZTlWlpcEJjaiL7C0TXivG5tbG46DvCnXYDA4lNnW1qbkLFCkn5fYeRkhY0c+oEAaTqcfbSPHggT+3PfHY/vdYgaD+CmriWLZHkDJxj+UkKFkDaAAyDAjwnIv3o3iXkV1MxCftB+W6NWqNY9DfIS63Z4RTQCb0lNvCmOoMyhRWuq8WqtFQ0Bv+epyPPzgo7G2vC4QNCovsKz6AKDSBmuSf7s6FjONaky36zHVrAsc8UFf8SI6LG2jXw8ELLc1zmxs78VXv+Wtcc8990SrNZmyXl2TXABnaieM2zqh71Hew93r9I/ypgzSA9ZzRinHejyRER1p8h/tT+BS4wC71nk2SsTct8lQzg865KgPj1n0GY2zunA7Zsx1/+Bn+ageyYebRf9izIXH/PYXM4P0aeIXvHNO+SiPApRKORJH+scAiLENogQTN8voMYww5ZGzXrrQX/ZxTov+ZbqcF/HkuZv553gCDXGnH3WeeRB+1OclR3nyNW3yKPz7vv//DoUXdb/4i79YnA3d0A3d0H1puJcFIP30L/64BloMMvQOg64CPWpjVEmpe8csnvRXNPgzuMvpiOHKbIXja2jPJ96FsU64I6IESoXCke/RyOjBCEPneJDPuF6SITr+bs+B8uWJmuLhiYwCwZk+V4fhOi/4Qol6DT9LhaQ8MTx2d6QiOXqGhSUyBYiy0lX+0NOfX4onTHGxMFIeqFfFzUKKFx90RGmh4QjnfgKI0mFMu1D8Qwm6nFazdgYkxZVJZCmsBHEAo5xlUfmRre0EjtDNuOwymJs7FHTkxa7iFErUP7LP++Tv8pgXDPaUZdoSjqm/5CrtE4XJgBEE0BkAQJ5ZBoAR5XWZuYe4+J/0KK9UeZKTL5V8OZOD3DCY/A4ZkSxHJ1c86l9xoCFjz0fJAWPLhhfARUfdyAQF3xwIKQ0r4trQkLcUivgGXRhshBNMdJ0bMHGknerIfeeltKWB4zojjTzldFtRgNsNhprCnSf56H8JekjjWUSd8LOMfJRsiyfcjgeDOBEgTTozKB6yPTDTRX9gJzvAA8u6WDZWnaj721IAo4qumZVhpiJlnQQpF/mqhDqX0atLl9s585Qd3rkr2ZFGcdZXt+P8s6uxtroep+em4nirGs3KQcy0a9ERGJtusgU3IGnc31qqMXuFMazyYqC3BJRUjQIIe7EkGs889UzccfvdcfbczVETAKpUc3tugBzvNuWRTRhkvIstZMsGDOvrawY5zB6tra7E0tKiwlaj2xVIYqaFj7sKRFES3vNKY33c9cOsEZtKIGu3L5UTmfFQhVkGb3KhUmOMA2rKfmp5yXPNjFO/1/OyN8YQABlthW8z8R4d7QOGmW3y93UkP9oPS1MhAyhDRoAbeOBdpJrqqi5wxHjI2MRW5mxbTv2OSwY1AUWWILKEFkADz+OAYB37G9144NMPxtWL12JSwGhSAIk8ewJHlH1hqhKnpsYFYlkWfRANgVkA4vZOX+cCYOrDK+vrolV129uXrNZ7u3H6xpv8/aM/+bM/jpXFa1SA+mn2C5dH5WNWFkPfM0oqHPLEZ5xspwbtug8vDFEckYU7iWVLH5WGEc98NNoz5wqHRunc3+hj4sE7O1K7JFe/yvEq45sH0+OfotBXC4AE6IWwavcwP46UibikYXaVrceznyuuIpg+5w5QRniFk5/zUYDHBnuTUltjkKa9MC7wgCSBJWUmT84tJ8ug7I848mXMUQTGdp0zRJADYyfUkx3uJW9cl2P5+77/nyeZF3FDgDR0Qzd0X2ruZQFI/+d/+olisE3DD2dD3KM7BgNPr6o+ogM0bOvHi/U5cBM1DcEjxZW6LJUAPo1kno6VSnTMSsRPyUWN/J1MNBVDPpdeGaRxhA7KQ3dIgQnDr+S5zD/fi2FmQ4aMDCJviQowYi26lKxniHTEcMo0WW4e26OMie+ymyZPDnFlGZSfwlH2uoRZ3UIgJZ2MrZQ+piLHxvDaKfOdPAAsUKCUD/6dg38mqfK+0BOWxjkn3Cee+EAulocoSzaEAVAJ82yWfqlsk4/DOHh+OiIDGxHQgC68o8Aho3ODoIN8ad8bDgggcV7S8ayIaJCPLSGc+IIr6JlFnSM7GzO6Lp8oY1g6Dsa44sCi6ejcYFrhGFoAJBtmNk4ASJQD+fErjAf+cVT6QyPG1z44JkcJTX+64oIyZKj/k44wpzcfOse65wz6PtEfbUP5M6uI4csTecJJYQfdoo0lqGRZXTkzR30nWCrbgYE7jYD2Tb7wZ59tnzIbDOElC+8GJoDELltVeWaPciYp3+nwltUYo/CPHEyS8mevEUO6PvASNvJwXSZrKRvlyewTS+H2+hPx6MPPCRSNx2x9NOYFiM6dnIlbzp6KualOTLYFPvo70evz3SS1C9FX0WN7l0xVNyprRTLkXRz63srGZjzx5ONx6y23x6lTZ8RDfs8J45mZA4xqHhLwbt1Wd9OzNr3eVqytrMTidYGildXY3FiLddHZFFjiPmAl+zxGcAJp2khVZaAOOu2W7uUsZ00ABUO/3mgZHLAFOPnSzkhLu/I3veTghbqENuDCdS2+mFFmdooHMKR1XeoezZjqgw8ESndwMyzuI/p2p+N7tOdGg3etGh4tqP96nXesMn5dIKam+mGL+irvaqneGXfY4AP+zz9+Ph576PGoKtPJRm6b7R0WVe2d+ngcn2pEp0FZx6M+MebzqckpyWMkVte7nvkqDXqWd24NDmJ1ayfqU9PxzDOPCrghk9Fgx0XXjbz7B+3RwCfH8nwPDjBI3TGTyTLF7KuU0bNNeAkm32EsOoqOErfvO47uu6lyLK6Z8fcYqjIjU88Ew7OOyBn+FdXxTVfnfvdVntbOuKv/qgfau0Xr+GI78zffyq/w7nMKK8fmss8YcOkH4x6XkIGO6p05jvgeY6J4Ix/nQTnhM33SJ/9khLp03EPHhTyR0KvFzdQBSgs/RZh3xVRb9tit8x981w85/MXcECAN3dAN3Zeae1kA0k/93I97iEej2/iTgpAOkiJgiRuzOXxolKekrLPXUC2jisEcRZ4gB6NPR8BHaWwT6PEexaATKQZ0Qy6TAmihnNPItcGIkQ0wKpaU6Z/uoxwwQDhHWZVP06CVO5/lPR0J9+YEPJFn2RdGKMZnLrOzkQK/Dk/28DjPGL0ggKxRSCkUzuV8v1C0Okdp7vPuk1wJzjKmSuSoKPLiGt4cJ40nk7LnPtoahatY9hjFPNUsAaKcSKGMydwGrNOk/J2n6Ii8DoqFclV83g1xffpIXllHdr6m7rKuzarO+bl8KHsf+I8RQgT4Jr3CFMn0JLdMz/28pkzUFHwW1oPj+0eYyoiBp38Kz3ou2wiGBCnKTSXynQQZ/wYH1L2S28JBDilTsvCdIivKYVo6Nw+FI32m1YXvcwK/1GnmT1lt0HCH8nJNmQuayMOxFEade6t1DGZoKDzpEZ7vYuWsEXXDzEXGoH84LfEkN4wdz0TJw1NpHNrok1GVZQfwMPOa727x3pYBjIAR4Z69kWdjBQwvTCmMWht+ypalW5QtXfYiHLvbARh412hqciamWsdjrNoU6GrG9OSxOHXiZoG/enzugUeirjYwW+V9kYM4szAvumyIsBurmz2XlWVilo3ad2tyNlZWN2Ojx8YrGMDMEoxErTIW2yr78tp6PPDgAzE7Ox033niTAZ3HEXhVuZFPrz/wOzubisvszdr6eqyuLgsoXY+NzfVglzrCeScJmQJw6Bc5C1WT3Nk2ndIKKNUbDt8d7ERN52M6bzSbfj/I8lKebNCAXBkf+ECqjf+iTWQbV51S3zK6WX7rbaV1zj3qnO2ws9eM6r7qXT9oe3bRdc1SvREDH/iFdk2ACPlzTd9n9i93OzxweSY0BgCOPHOkelaRVKC9OP/YM3HfZx6M/Z1eHG9X3Wb5phHjRZXljt61jq3Iya8a8/MLMTc9q8Ts6Mf7iQKr4rZZb1pO+0p7bXU9VnoCh2pfU7NttSvAmMon2gZndB3apvwLwax37gMI+Rxwzk6nan/i/3CGSTkjR47wCFiljXsZnscD+M1+bUAgMRLXYxLyBRzpHrzqH3fsGRJYlkdSj/XKA1ly7g8169wbI7hPq/2LBnEBZgw97mOEqZ/ABzRpvxz9O3xvj/zKOMkj/KtqRUT3CdefRwzaMWV1IZQvW7CLzuH47jLCr2gX3jyYNo66IUd4s9D1l/f4b74kh/LhCvz+03f/C99/MTcESEM3dEP3peY0gr50h/LXuOsBl6fh+W6OBl8BDh58s9WobukIAGF7Z+LypFj35b1zmQb68im4DUDR9X3oamjPpXekQ6uQHQqPIR8lCigCEAiQWTGg9FDK8pyjzQTQWI8v1atzlD8KQ+mKmSyMAXQb4c4LXuEfHuSTV4yZwrjXOWAlAUveh7NUykeKC2WGs4LWObFQwn5PiSf/POV03IxDjEzEDFnKKPMmT6KKjrguq8552aOAKWMawnmOKetM9Z9jen4AKL60f7jMEGBlmoqj/JFdpsrwLDPlKuqBchd85T3CSlmheDHcZWxwXvCYslS9qtykp+zMGtBGyi19+ScbwWl31VDwzstGCxEoOzzCaxoOHO11ilGJ+Gx8uUxH9cWT6awT0mTpOM16hYbCyns6Ojcd04hK4w5fgq1MAcuUK41aHMYHy7TwfvIP/yqrJKey5dJNCunlhTJWsmyShzxggV3QMIr5GOyuwpSp21k++SVd4RUn+S7amuLhynPPmmG8iX+Mfp76ewkdXka+jWgvaZOsAFJqCznLmuXAyOceVwBvljHxfRl268IoZROT7X4/eltbsbW5ofJGzM/eEHff+RXxqld8Tdx68xvi7Om7o9OZlaE+HjOdatx8Yj6qEl+70TCA3d7bioEABWBmWwSQGfl32gJa4rGr6y5LWlXOmkDSfHM85hsTsXz1Uvz0z/xU/Nmf/7HlWBXAgl/aWL7nJi/QsSUwtCFw5J3+drZjc2MjVpZXYnlp0cvjcgOFrH/kRj22BH5GVC8GOuKFNtxqtd1eqFvPSlpmYwIQbH3NbnS8v0PfK47qP6YneTJDx+54fAuJzR6uXb0SG6tr3ihifUPH1RX7rmQIv72uZMlytm1A5I5nm7xzocq2tr6h6h7xLnL0HeQltgSW6l4K2Gg0fc4YQJ2zgcTEhO7VOqq7Zly9sBif+dvPRG9zM2br7FTHsjq1OV68UVkN7FTP26LLuDwY7Ma168txZWldYaMGnshoR2nYUKNaVT2yaYpSq1kor7GYnOxEd3sgoDQXs3MzNvJpM4BIZMc5bRMQxBLPMckHwF4+1DGAsLSzLXu2STyp2DryvlpVfOq+vN9p0pH+5JkaA4vs0/xwOSZARzdMg3ateoFuQeeFICLPAKiEM8aIZjE0wgNH503fkoe+79GGnBoeGA3EE3BF58pS5/Qk6mtHdATyxunbhCV9hmI8cf1wouRJZUya0GPzj+SJeGyPD2DzDL28QZX5I4zUSme+dJRMGGwP2FRF7WufzUDQP0M3dEM3dEP3Re5lmUH69z/NEjuNw4Uh7Kd20iQypxQIKOEJNKM1IzmKLg0ZwrDv0vD1OJ5eo7tVDcqS+PoPSECJodCsLBWRVAY31oMZHwWviPpTvtZmKEdAVKZFw5mmjtLzyhv7lUxFR4aYt+OVYWCQh8Fq41z3TRd+yRUHj6l4UoGJNnzoNsYj+RGfI/HKH8Hw7yeFkM1oTu6A4oCCz0D5QiuXssCAsZydHnnksqLxsTTUPEsgoGTlrzROq/IlDf0MivIpbmZJuZSNaJY72tnQ8D0MfgCA+FE5Ofd9HXyutBjvpaMsaRikbKywfV6UpbjC7jfwIZH+IRPf07mzQqa6SH4LeeIUz2vtZdyUT6STLmkyFwwfP1n2fepeyZSGuJa9MnB5RJ+2SlFxZd3a0FEitxc5p1N6AyOC5C0epQXcHPKmg2mr/VBlBj40MvIhvv75wYHieKZSRigv35cAyQ8JJAzPGOjoJ9e2flL+yNQ05Elb0in7UhpUGG0qMzKQ8ckyMHvvIJmgKJfbYeSrjahsxLOxKFFCgif8eMplmajtjMr4yncfqA9kg8Fbk0HOJglT0W7NxtTMiejofHysrmiVaLfn4uKFS7G2vBivvvP2ODu3EO1mPTqTSlcbjbmpyZiSQc83zLzdu8izBA0+FuaPRVdgxh9aBRyqurYtOwGlifzW1YaA2cOff0j0OnH27A3m1UCku+VlcwOBtw2BDkDR9qDv949YVscW32zGQNxWsx11ASLqst2ecv102h0DFOTYbLQMOiYnJ80jxnATENIQ8JAM6RPZBtlenA0X6IOEsfwzy0M9DZT/pnjZ2FyLpcWrupUzVNQuoKknQMHHRVme5yV6qnd4gQ92XKMaAHJ+WKK24k8bcF9xmUlqt1pRE6CkbQCAcxfC3O2ObyTx7t+F88/GJz76VwaH7cpoTNYmYl2Ap7vDEsVx1cm46q8eLZWNHflqVWYYWWo4Lnn1Y3F5Lfrip99nm3SlE10MdUDzhetLsS6Q1Zo9Hq97w+ujM9WM6yrnyspS0Z5oayMGSV46J/q0Py+xk6dPA8DprCylY/t3j/X0KQqvI71bsf3gA9CPUNziabfcA3gV7TZjK4pkhnPfKQdoeadRXPdXy5MZpHxw4TQGI7pHj1RYphNNWMQreyUXHzCW44VzgdfSccvBhGe/Kcdtym6S5oVImZ9q2fSQq2eOFQINAzUBTaIezi7Bh478GPdx1mvKgH7i965UFngiiTfKYbygTdKXuK9O98/e9z857Yu54QzS0A3d0H2pOQ2xL93x1e693ZABwQCN0pGSsoWoAVz3U2mgGHKwdrhGd+w6jGwHKT7HfWkDh0tXoJc0nouWjDeZEmkccK84iipPVb00TAqCvFNV5vn+4TVcyCkNShejS6pGF+MyvshHtMU7eaZlSwoUTopHyaxwcglYehulJS/wkIVQTJ5CZ5gNWSklx7eSJQr3SqMaj7woJ2BMxnEhD+4lMEgwZ55UzpzxIRyDVvyZTBFXvzTm89o0+CkuCpRz0pbKGh6TvoJ1z2XL0yIu5U5PGjarwN73rmmyWCkSMkmZZdkObQkTIR8uCxntk4fykyHldNwkpg2EdPBS5lHmayPGcqT9cJT37As+M0wblfKQc3GUNzDSCWCKXDKn/J91AbPwRVgpC1zKCHmWR1zKlzBoJ53SmR5GR3HcVYfwDIBAENste4ZE4dtq1IRzP8smM0zngB3Skp+5gX7BEGGUlTjEteGTArJBDijHoOdpO8LwRgvyfAeIDRi49nda1A5y2R1t6ai9UAUYl5VimR3lt2FqTsSTfximollvR7szHzPTZ+TPyd8Qs9O3CGyciunO2Th18vZYOH5jVGvT8cCDD8cDDzwQD/ztJ2Ll4sPRkJG3cOxs3Hjnm+PYuXuiMTkX7UY75gWW5jsdg5NNAQbelZmfmfMOZdTntmdLeN+FvrIdM43xONasRHd9NX7uZ/5j/NZv/F9x5eplGe3d2Fhb9w51q2sbuu7H2vqajPvl2Op21ccETFR2jHRm0QA/s3PzMTU9LT8T0zoio6mpWe/ExiYQgG3AxszMjMBgy+BhwjJkho5lhrmMDTl5CbC8asdHXIKegcEO3xqizTHWdAVOlleWY21tJdaLJYArq0sCiuySp3Ksi2fxvq0yDLa6sTMYeKOJ60vXXDcARNoR9Ze7DlI3dflqNFqqdwEcltwxW7AqUPQ3n/x4XJOMapIpu9Zt0gY1Vk9KjlPNsWhVVSb1LRGPSZV97thCTM+fiEaTHQJbaiAaL2M8rl5n9msQ6xtd8bwe164vepZreXU1zpy9KW6/9a5YvHY5VpevRkVtjmVz7VY7pqemc+ZI3v1K7cx9Sx5w5BlK2qOlJqf2XvYDtuEfpW/w0zVLAHOGuIhXJgI4KBDvJar8PG4U/ZJxyPEYu9X3FN/vAsr7wYbbvHxBI/t65sl1Ot0nnq+VXwledMz8M2LScmw58ocfyRfwpfPyPSNxpWv6MssciS1eqAdrOB4Y8O29fTSFr5kpIi/10Dwv0kCHvpI5Kq7uEZ/3PnlXbnePo8YOp2OY4GHKobSHbuiGbuiG7gXuZRkdZfvJaMO4x5iFJMuzmD2SwaksMIBLg91Dt5SUt5xWXIZ9Nm/gQ3f4BFgcRbMAJGk4ipzG+3LZGQbCqOLypJSnjVKzRR5p5LKMCTXlZV9KkwpSR9HGoaChRxorTd1DnVil8I/7TscRrlPtUB7TQz2RD+lIYKAgOhitumfg4R9p9EOJWdrKX3+E45xeFwAkVByai+xKJYsjrvPinLScmD7AUHKWocZafi8Fk8LDwKMk0BhnyR1ykQcoWTb6h1EOuPSMkcrKDZMlj9IXfGYZRVFFK73Ea56Pln2lcVE+ISX/siyHda00u9vEJ3+Fi67rzEV1Il8T5Bk9xYeeaRXGgvl0XW7rHETOPSSHwaFzLH3+LD/KTFAaXYTBY27IgM/ktKeynRHo+pZ33vorTTbaMWCkFJJrzPkU+ZFG3vJQe6D9WkZC4WwLzZI5dkj08in5wU7f18TPtivnrCUjlwnae5Lxrg0b4lnG8jboinMc2UOC9zlYbsZ3gaoTTfHLe0fQTmowb0CkaxdFgQZYeGi4HNQXdEWfMN3wu0r1VjRbszE9eSbmBIqOzZ6TPxOzM6cFLE7E7OQxGdJtlY9NAtoysqeCjQ5ERQat/MggdvsrsbX0bFx+9v64fuGxqE/Ox9k7vyJmTr0i+rsaB3Z6MVMfj4uXLsX0sdPRqE/TUFQwONap+BlorKGa28IkxzpV0dyKD3zg1+JDf/A7sby4FMtLy9Hd6gmU7HhZWxdjfnNTYKIvIDMmkMN24E0v1Wp02tFsT0anw/bYE1EXYELehzN6aoSAmw0BFeRWr9UsaOTOBhzlB2BHBZByRlVSE5MGAPoRL2foJjxbRf/0t5QyqpdQsk02W2KvCOwxU0ObWF5cjKvXrgqErMemyrIpcMfW3n1mx7q9GACaBLxoE1u6XmN2SoAJup6xET9kcf3yhbjw9DPxoT/8g3jqqSdUhj3P3m2rYlnMWKmIT/dDXYsXwN9kq+7xk5m3nW3FqrSjNXcymtML0ZAfEaDdVFfZGZnwznVr/R2VrRVzM1MxOTMdTzz3cKysXfWmEbOzc3Hu7LnoTE5ZPt61j41BAJiSEZtDNBTmj+YadALiGV/5pZgOZ1J0QRsFKFEXfL8LDIr3bCux1Va8w6LGAgAIgCPHAtWn+1kSom53RBcgnvnov2TDhgxFJHnG0uwvZT+TiOQkL/Udp3GfU5DyOxBIgkENXfbke9iP3J81Xo3QtnjvDc83qhgPFc598UM8AyeF+wHQyI7Ylde1RkTxUvRbnbvsOgfAQ8PjGvEMjOS5Jkg8GCyKLv3GKzGU1vKB56EbuqEbuqH7IveyLLH7dz/1Expsx6zgMMI9uyGDYHRUFoyXejEacz+XpJRxPJ6jnK10bLLZuDC40KBuY7RwqBjySOMfjagQKx+RlMdIQYn5SZwc54fAyhkR6GROkHF1RHlISdrYlDHEy9MorkOFJZ8MppI8pGVnAuIXDuQ46ByFWobZqEbpS3HmbEZ6UfJ9pynOlcqXVsgEIJuMYFeG2SCTbOxNT0CIl5117WVnClNuiqxznSXLSSeNBBRqljnBSiE73eepKmVALgaiMmoOz+URr9MU8iYcbikuFDAMrISxZpw3Cp+b5J88wBA8wBchZV1wxXsVLjcECcEY0DmXNnZQ7ornsKJ92DjSfT+910kFA0xGaQKaNLiQTVl/biNFOaBhYFTc08lhvMxXhOFTNDgtZSUB6CgiDoc5kiIjHcW05cuF84EEs6wyhmR855FlVzKMfI+kRzItl8VwgxfSoet2qDwNSIt4ZJk80haYJRQ4EiChLZQv5tMW4MfxLIviXJ403B9XGTCqaUc8UXfrUZgCRasig7oZ7cZUtFozMp7no9WYk58yCGo2pgU0JmX4NpQ3W4Uz4zIhgMLucf24eOG5eOzzn41zs9W4+VgnZqea0WrX1KVk3Pc2oxLbce36c7F4/XrcfteXx+TsiVjf6sfeoBvLy4tx252vjusborUhwMPOkio7IrboVRZ2t6MOe4NBPP/ceR23BRBZqoYhyvbafZeLbcKRWKVWVf6tmJyaMhjgg7IVAUrGGuhRL4CVDQET2gWzTCzV6w3EE+9sKI5qw7LDUcf0b5bXMUmg8LcAAP/0SURBVAMBTfJlySKzKtS3ly+qLhgDe8xiMQOoAvijsqLJ9uKqUdctRi7XbCtOv1NU1z3bepPznkA1AIG2yw52ewJJLLPLd8B4Z4/d+9ZjY2kxHrn/vvjc/Z+Jhx76bDz6xGOisR1TDR6YjMRGD3kkmJoYF/CrjEenzhbvIwK5ajvIVvf4aO315fV49uJi7Ki2GgKS7akZgVRmIlQktTeWKAJEr6mO5k6fU9h+VGsTAkfzbou8A4ZMkRNgUY0vZSZ9kBuHZHtzm9Q4SbumPko9kIZ/9pFs6x4BdE6fSXDhd+OsV6gbxoU8kl4JFUMS1j2P5dymfdtBkzZU3ONgutQIckYH5FipO7pHFNFW9ed7QrRDF0k3ckzzQ6ek7Gvfc1quyY8rWrG8LgjnXLWr/PIzCDl+QiHrKGmorQmUA7LzmnGBo85EKh8o6Sg+/NBHqb0c2fG4Ih0P1Shv5svxfe/6H5PIi7jhEruhG7qh+1JzLwtA+g8//ZMaiGUEMKPhQRjDjN2IWHaC0sJYZQe7YoC2wcbAjaKw6tCPTQlQUAzkqVjKcy/50WBuJaU/jDrOMXwSRBUKBqXmhCQtNQee+ygJqKVDfdiAVUjOMqUy9IdLS2AEP1JUSTdT+b8uTF9/lBfeigudKsSKR2WU8jE4QqnJGCKaPUbAC+I6nZWW0kDPpFIGpbcS1UlpHBDH59CQbJGDX3gmP342hnOpjwhDoKCfrHJN6X27OPfL6vrZpnAegAodrGwdaMOMsnMsZ49clwrTbZVH9Pih4PWXhk8qbxzn3MtjGYYhYxKOZ+NciTFCiKMiZRHk4dAvZeto/hVmg0FlI3MAkdui5C1Cpm0ZZ8l1rSOsUfcYEiqD89U/x9I/ykQZef/CqUzfyRyX9oAkSyOKO2U9mjZBdqpD/byUR4a3gZEKuGtDVgamy5z52ghTPM9e6Og0ipuea4WLBnyXtEaYTnGbVhuQITo+LgMXoEyZJQe3paLslNttFs517rajy7IPEd8be+gcYMUMBN8XatTb0WnORlu+05iNRmNGgKItA7jlZVeVSkNyEuBRemi4jyl/bwZRq8UTjz8aTzzyQNx2shOnBY7Y/lk58bDeAGJ1dSVazOq0GrG8eDXOP/tsHD99c5w4c1esbg68pfcb3vCGWF1nOVnPZcD4kwgs+YrqnLpAzsy+PPXM055pqVfrkpvAqAASW5mzFTXgEVDBMrRGQ2XwphVsYMC3hWjTzOYw47TlWRzel6nXG1kHyosykRvtLbf7Rl6AeuLmEkbLX2HMHAKsWPLHB17ZaW9ToJH64L0mqsU1o8YNqJngfR/lR915EwjVBe8W8T5OS4ClWhUNGdDbAkJ9Plqr9nNsfi4GAnIHKuPWBps8rMel80/FhaefiIfuvzc+/TefjGfPPxsXr1yUrLvRYGmgeOvvqM0pXwBaXWPGzFQrpjrNOD4761m1wc5A0lTZdG9H8m50pmO82owtyQUZ0Ya6ArFbKp8aYhyIF2/YMLMQr3rDm9RuIp5//um4cvWSwB7fe2KmirGJMUrtREfaWQImXbu9pkcmzIjwc7uk47mmJasyjoRn+ekWYwMdietsxy9o324VjDU5vql5Kr9iTFYe0IUG4Tlrk/0+y8gx9YB6XLKQbDgvAzmOSsd3kNy/dE0Xow+oqojpyP4RuUgLIX4c4VGknI+X2CmvZI2xXrwW6XCmUVyTj6+VF1QYD3KcVh+EiiIwPsBLlhVe1e8kF8pvAoqHe98P/IiPL+aGAGnohm7ovtTcyBvf+MZi2P9i96lPfao4e3F30123aVCXQtUPmw3D0TNKbJQgDcTKE8BSzirJ+JLX0J9KCwI2xBnUURKp7HAM7Jxa2UmL7OuaF81LRcqT74wjg+lgWzRQZKngUslxibogFxSPFKOuUHnExYjBEN3ZYdcrntIOZHh0RW2ghDtKwkySYuvchtkhICgYlMszFKD4RAGLH55mYgygRI+e+PGkOZW+VaP5wqHUxI8vdI7ikkcxkg8eHjFkuVcqdmQALYMwGTIYaF6igtwBoZRUaawoVQelHFjL72/siAZLaqCtUxtpNsJ1rWIqDnKUCBR3VwaQl4bJyEQRIy/oeuaFcsNDYXxYBi43dQOfYhcjRLxgSGAZ5xNaHZVONojrwZlRxjzoHvIoDB/R8rXOKQXvf7jeOfIUeqKma7UtyXlCxvqE2tqIDFLlbmPcLzBDAMFDVXlRXjcXycMzYjBiGeU5+XpDA7LFsBON0liz4SRZ+AhPSncI2phxExW3QWXg2aDSO39mBXjfiMyz3RiE6+AwYiRy4czX5keyKNu0l3JRjzpgSI/Qxiqq/wIgISiHq0/yvh3XxEUeyIF24Sf3Omd2g2VnlqPkiWxrGOhVybHaiIZAUKPWkYHe9E5jVQGi/E4SgF/8u6wAFvEIu8rIB/3Y9vrev/1UfOD9PxNvONuIV8w148wp3vGRDLZlhKudNtqdaExNxxZbfm/txFPnL8Wla8vRj3rccsc9Ma5yPfLo03Hullvj05/+m1hZuRI7GmR4l4u8hLf83hT12JdcVvt7XsZ12y13xN2veKVKfBCTk7NeHujJSfHLt552BAIAUC2BFd7ZoS0zc0OZ4J827qrRryJABShrSCZsgMBSPN73qdebvs/yR2Y+vVU54lYYy/uY1bl6/XrMzUyLfsTlK1ck03x/ye+7aHwBdA367GqmKhdYALSxKQP1z8dZJ1S3YlSVvhsr19n9bsXvsk0o7ztfeU9sLS26X11fuR69bi9Wrl2NpcXrkuGV2GTXPJVpbXPV26zXxXOa++WMUSVakovY8fg61Worm23VSUu8jUmOjNeM36Ox1e1bBnxgtyeABng8uTAbk41aTEu+7dnjsaX6nLv5ZDz40F/Fxsay09LONFKnJCXbBLeqBZUXOXvsoOyITY4xIT8mTftOz1hBXdHO0sDPcQ9QMTpCX9r12OdZdMZdEadtk9YPLkxDxBl/lCvh6RgF4SWXsVJ2lhR6fKA90EY09ntDDPOctNzfxtW+c3WzZCG+3YcBKrQdRWP8pFLNi/Ir8oQEskgdpqOuGMdx9HPrzqKP4hg3PH7rnKP7neOX95HDqPJERuTPQwrqjLGVPKhcsidPPp6sMJ0bTNGs9kbi0x95yrRezL3pTW8qzoZu6IZu6L403MsCkG591WuskGwseTAuBnn9UEZ7Upx8S8VGLIYmPw/6iqw/zNg0snaUDttA/7grJcgZSwzQNdIkUhAyflGSvsQwT0W4tz8gNyu3UpniSmWIUiifxmFmEo7n5fkSJGE07e3LENjrKwJf1efjjRi3Up6mmUZZ6VBiAAUcvKDsAUU8mR1j+1WVMbdEVjmknA2WirK5PEpqng0WclkWutTX0C1oo8ahZcWPclQkyPBuEca7DbZxGcgyiP101LJPpUs+uYMd/IoGAaof1t6zFISfDQIb7Ql+4CoNfTkAksLYvWpnh3Nelk8D34BUseAlwSDl17myo8wJlhRF1/A+NqY0Bkjwkulc72m5OqysrxIIIjdouyGQgHs6spxOpZGca8qX9xoAShNRnWi4rSklCRQDMC55qOykT0CUBhDCKa8pO/WJ3P00l9QigTz91NngmsIkSMbDa4IgQw/lA1gQ7SKM+itf/OaY256Lf+VrgKm4NkCJ4wxJQpl1rnJznsAK+XAsIim2n1Lr2staBRDYKnmUNqBrtxXx6qWtAs9pRCmNQklWthNmczHWK4qDcTmiY4sZlUozqo2OZ4Bq1ZaMdmaL6gaiXr6HVSg6ZZuhbJaHPNy5VYhfHob87Sc/ER/83V+Ou+fH4w03TMepk3PKN0HitgzSmWOn1YYnvKyOb+kMZFyurK1LPiMCTLsxWu/EXa96dXQ3BwIqnfjox/9bLK9cM0ig2bD0jL5XVT9DIDv7o7HW26Hnxk033BDnTp/1e0VsHnDi9A1+f2m7txnXr19WG9j2e1JTs9OiIRlIJmyNzcMdXqVkV0tAB4vJ+Egq9dZoCjQ2W+o7e97gYVcGNf2I2SL6MFuTswU3hnqvu+VNGCb5wKp4XdE5M0EYxGz2gMzmZuck47rKvesP2jI+7g566mPb0d9i9mU0NtfXPEN0+eJzsbG2atlRnzfd/soY15jZVXkuXb4o8LQeq8pjgw/kbvfEx74AUlf1LSCmsYd6oYbY+II+Cu2a2s10W2VSWVoCO4Sz6+Eo/YL46gTd7iAaAlK0INW06i3i5ltujuNz8xomB/HQZz8bl1eWoi/w9/qvfU1sdi/E6vq62+v4aEX5CYC6beQSWvqedYTaI/lRfzj4cTvl4RSJlZ/7mmRNfNoaDS9nb6hvlqIx6682QD/loYCCfU5uoldu5ABdoKGXv5EH+ekGG2KwtI73At1+tredz26xsUruFsh7ZvBFWiWaYCxXPowLE/ICn5SDMQuApOpRGvq8szq8l6VUdoxf6qOUibZwOFONhBWm2I5j3ZLsylFnpEuABBvmRwDnQI0VmbJV+96eGNNNvye7z0MSZpQIYjzgngQETfHndyR1fe9fPUkGL+qGAGnohm7ovtTcy7LE7uf+0696iY+3tpVywsLLpXQM5jzR8vDuARpFwLmVgAZ6G6X8dAOFpWHdJxiJVi4Ks7GtE76bggEBYEqw4ax0X3SUzooIhGHjuzCRD5VMGm9cy5Q7VLwoIYx0gIEVoTxLHQBZmBOeJSCF0/OTE7108FWUwTfEi3lPz71cTgI4QB4K47pQjiTimvDSwa4zUBDywfloejz5R4YJmExP92wQyMhkliPl6VRJlz8dnX9eKE+MC6JA6bAwyhu5ZWrKnEsBUdoyQsSvjQzkBniyIqe8Urwuk1iEx6KuoFDSynNlp/Bc66+4+kfe0OfacnO9QUcGCHTEpo0hFd/hnCiNKZpXrpW/2h0AKWfQkM+RTPNpKQaW0gHqxL8q3dcJjo7KXxr7JdskcTntYRMDRO2EJ72ik8taeDk66bK7XLn8rdxiF5qHHstJRLlPvpZl4TEgAVvO1/xmvtBA3iKnc3iGBPwjE9qWyuo+p1Kb8fTIwEvedAZ9y4t7RTqOvJ/AeyC0BwA2y8ZazcloN2eiXp/UdTvqLKVj9ohtwj2jNuay7MiAZJMAzzzKA6IBK+ZNHFAnvJfD93Y+d//fxlxjJKZrozE11YktGaOj441YXF0VYBFA1LiwJ3q8N3Ygg7q/Q90z07wfs3NzcZXvBq2txPz8ibj1rnvi2WefVl58RFY5qYw83Rdu9zXv1/D+DN8NAkxsbGx42+8D8Uf5po/Nx/72Tly58GysLl2NfSEyZo54qDHZnhSYmTYAak9Oitfp6HQmo9lu6p5kUa95p7uawAQzP9CjTfOR3TTuE/DSX/C5a2A+wKC1z8/OxKxozqlM01NTot3RvfGo1vhYK9zvWwY7g77B0sb6qgDPUiwuXYvFxave7Y5d7PosqdvivZ6e2v14XHz+vJcmrug+7wJtALREkK3FRwUApuoTfmcIGRHOUrs5gaIa9cm4oH5H/fFuE9+1Gle9acSwbFlyV603oy4geecrvyxuvftVMX/qVDz9zFPxqU98NM4/9aj47cWi6vnkTTfGzXecjd72ut8XYwY2Z7aVhwFsOtpuvlfDuKG6dt/nWLTn4hp50JqyzdNuFcaJwrKN0w+QeZ67/dP8FYeHYf7umX5l3ZDM6ekPh32CYDceX3srbHn6OHTok9nXSSxqB6JVjEf5j3x9kCMfcVL2U8jq2rxyXniVUnQ4Jgn4hl/aCwwZBHGD/HQsZZT3pGOdUqT87TjlSV6M02Y5eXBkHT1mKn2Olcg89QDlZ5MeHeIH3zX8UOzQDd3QDd0XupcFIP3sL/6aB3fvTKRjLoFieQWDuQZyjdVWAFK4XnYnhemZJHkrQ/2s5DCe5Qr7TYM7oIendUo7IaU6AUAAEGQ4xjP5WvmhcTTa67b0AhpDBj56QsEoGXsUIEoPraB7qfxQhqks/c7CHjNHGKu8IyJDJ/CKDylrIp8mvTwVvyie4iiexJwMwFRMpcJP4JDxrFD9j8RSVuK9pCYOzQvOhkWZXkcvIVE0xzcoIZ+Uu99b0DFJE79QspzbCCKHozyhS3nIyfHkMl8ERhEUxzZNytlgEtBoGSqYuqFM2FHmj7jIPNPjCIcml5SBevFR+doowB5wXSkO6SkX9arzQ7qOo3BHSFr8x3uJocrs7z/JGEqgnN5MmBXxSz3aaEljh/z2mX6AivhwqV0o5WlZZB2kXLI8mV4y0G+3eIIPagEIARK8FFGGd84SiXYBiEhH+yKNn9jKQ7IESGW+5sl5cBQN0TOrvs5wPMxwDWc4g2dd2ehCthma5ZCBxBNzJ5MjK9oAdGhP9EWWSo1WJzxD0GkJELRmo9mYjEqtLsO9aZADeMp80vG0HYBk/uUNLMUz5eScbzvxBJ76BDQ9+Nm/ifbYroxytqGuxrbktdXvRmfqVGzI4N/c3IpasxODA7XTcYGPySkb2GvrmzE5M2/wu3Ttcjx//rE4Nj8b7/iGfxgPP/KYjPl1ywFjniV3GIaMD2rZDgU4kQ/LzHYEJgAVHYGg3mY3nn/mydjaWE0jU3F5v8lGsIAdwI+6Z4MGvi/UFkhi5zmW19FqqOtBj00oepYD3zdipzvADR+XHfS3RHvd35vZY7dCATRADwAE1ljix5KuTZWd96bWBRT55tPiIttlC+AAHBUfgMdytvX15VgRSAKM804T8tsUzXUBqNn5Y/HAA/fGivLj3SnqZCCZ91TuEdVJrcr7mvsGR5UqW7+PeTxmTJienhQgrttjOPN+1qxAnHonTTvWe4M4UN+658tfHwunzsTaxmZ84pOfiL/+5MdiU3lLYJLciMqisVnyuf3Vr4zTNx6P9Y1l1UfPdVF+s4j2hvMDK0ucNkobFDPwU953n0PKqhfEpTrM9p41bQGSXmlTX4AKiO8U+s/YQr7ZH5IufUf9yX1SfauoB49+IlnOGGd75n62Z+I5f44k0T/4Y1wkJ2Smf8pD18lCxtO5vdpjpuNICVzqooxZZo+hppF0TF8/0pm275GGSx2NzshQ44DGEntllvnAAPfKPOgP0glOTJg8ekE/P5ApeBwCpKEbuqEbui92LwtA+oX3/6aNVe/WpMHYgzy+VH74Iq6XAGmQxnPTwzhGNSoHRTWKppFCGtkTzYOoCGhUKgAhDGopi0Kh+B0fnoahZA7zQIFJ0cnoRlmiCqQSTI+n/DYfFQEjV2rFhg5K0QoGA89LKQABu8VRYT66GKYDaEvFm+UrlbCvMerFL7yRTxr4yEQpIUDeyssKF6KOhuIqeDB9Z2TDgbKk4kz6nm2CtgkqLeEYIcrDhgjy0C3Cy2+MsDmGwYW8FS10JUPnb5cZ8p9oyA4ZYwxwhJ64k2xYYogna2ZZSiBDHqTPdCV96spZOOuMi8FMHG5wq6RDHjDAwctNOFf88l0cr9HXKVtqe9mYE0Baspbx7vfamAnRPe+CqPjULclLYyiNHY4YQi8wKg4NIPFmqsTRPWVBODklMOGaJ8ksxRQQkhFqA1jtZlcGtWniZYTl+1zZtrwUUWAMY/3wo8NySMD5l9fEVzryM98OhVelga6fFicvpKGXUH7kQ1zq2tec8zMNUVNBzH8hM+gxq8aOX/RFPnjKuzTtTm7EwKYMvGdU87tGVceBfs4SsUU5S44KA1J0810qZJhly3ucy1MHYumRzz8QjdFedGSsMyPDux0b3a5nkcYqAmGtqTh17uY4tnA61hW+tr4eW7Lot3dHvZvbqVMnRXM3qhMjce3Ss7F8fTG+5dv+cZx/9mJsri1hIh/WOYCQ8jFGuF7FC9+d2pEH1KhyVF/9eO7CM9Hd2hKQ6Ck1tbHvHebWVpW3gBTtucd7N4Bc0VpfW/FHZleWlryRA6COc2Ztrlx6TnxdNKBZW74eO9sCZXyAVfS6WxvKcie6ir+qe3wklvN1AZ8Vxae9bKq8S4vXYlHl2hbw2RJAYvmfl9MJYK0onSIKfEGz72V0fN+JWeOF48fjsUcfcbmpY/oq28mL8agVD5R2JAO+iVTRea0iMMy3nVSvfqdQJa1MVL0Mui/5be8ceBni6XM3xju++VtjavZ4fOpjn4zHH3s0rl67FNNTbX+ol4/HzjDL1m76XSkeK73+q94cI5XNWFy96PrnAQ99k3GHdkrLNNihc8nbcKeO4J37RRncUvWP1sw9aNnpNteMhb4k2G2NFpBtDnf4kAaSkptuuG3gWYrmMV/tmU7i8UfRIcZ4ZBClNEiSJdaQzBnfgge75CF5Ixv3NMXloRPEnKWcQpXs8FxHjcDuE6yGoPg8OHTfPRwXabuKoETc80Mg3XKRFM74plTikzEheaKd61+REWnlFdeyt05IPSlqupd8Mx55tkkphgBp6IZu6Ibui93LApB+8f2/IWVYGOCM5oVjnLcC0jCMwTLOy+AetInnm9aLTqJ4zFKwFgEQMq6xnC1nmTXyLkGADykRgwUlIB+W2Vm5WHtIIUML/SCtZAPeSgklkkq4OLOSTsc5Rmw+DefIU9rclAEDsJwxIX6WIQ365EMHZZhgBoXpWZ1SDjoaLDgNSsmkFF/nKCefJoFy2RnOYEB5eDZEnpjcgiZLRrhQCsf1kifFKTcQMF8ySgzanD4hovlBGvBS8GQ+zAUqVXnK8Z0MblFepyWa4tugwHAwSNI9Ax7okCp5cXUW4AbxYmCYBwVYZuaJuOSa15STmUDng4em7hlo6dr17XoXHU6s7LMs1K6XFY6xexgzHLmU0yAJ40s/DAxFTLnLwTsGBgaFTB6Xk1tZvz7xAZ4xj4hHmymXF2KA5TI6QJCAktqLv1HkMMUrjK98/0BH5QeoIAwD3XnBw2F2nNA2dESuuqJ0/MEZNLjFffOuo+MWAqM9Hn6HyXRIJ+eGDhGkWdpOedNtmPg6skysWWv5PZw2s0fNqfCHZSt1y1TCLYzDzJdylv5omSFtIo1QPHTNp348veb+I488GPvdtbjh+LE4cfxEtKbnozZ5PBpTCxH1jhpyRcB8NGZmj8X03FycmGcb8UaMarzoqx9ui3xLPLLpwPWVjVhbWY0nHn0o3v6Wd8RAdbAlkGKgqvrh3Tp/R819ItsBctxxOfYEfgRUFJ/d1QB3BnxKx+ws7ZulZmwNDsDdYaMFZnkEdK5euiDwkt8hAih1FU7dsgyO2Z3Fq1dic2M9l97Va7on4COAM+h3PQvHux/kC+gZsAxOIIk+yzeNDkSH7dB5x2h9Q7wpzaZAGhs90KY2NjfMNyLmyMwTywbh/9SZM3H+/LOWu+sEGSjduMbDqoAMZRvVOMEDBGauWPLG+000hoZk3Gm1gk1lWILHe1CVWjO+9m1fH532TPzxn/x5PHj/vXH82HycvvFMnL7hnLfu5jtbgJ+axpUrVy7G2tp61FrtuOdNr44Ly0+I8o6GY/o2Yw9LIHk4RaPDwFfO4jvbYo477m8qHPVVBPDn9kQbw1F2AwQRIIz7tDNaOPVGuK91w+f8GMOLcACRN5dxHxUt2oUAEMOQ+5yuylkj+PUDCz8Qgk7ZDwv+5HL8K67pZ2YT/nSAN64BIDpSNqJ65GK89rgYXtbpcI97hQMAIRuH6ZwxUpF833nk+EabxsHv0dGDsI7ogHww5mXtHhOJBH9J35Kjn+h6CJCGbuiGbui+2KWGeonO31xh+ZeUJt8JQev46aEGaAx+AwjGeg3LCtbgrcF9JMEQQ7XUl45S5I6HYXUg5aFhnlkjHUcFkkZ1zuzSyCi7VPEEjjjyE4pPXAxpGdsceTrHTASzTjawKaXyslnMjBD5Kh/rH+VrRcqzVOuOgic0W8Ef4cRFt/AkjoCcpaGcnCsPjHmUGvccnkowgV8q+jQoOSpcjmsUG8oLYyLTIIPMo3QlqLEShG2de/kd9/SzArWA5YlbAAp8ubzFIIl4jlvkQ55FHDxhClR6ZhfSl+mUrZxkIdY8kyfZexkhrBbswl8JhDyDpPiWiWigkOG2BC8ut+TgJ5ncgn/okA6jgDxUd84LHkw3K9O716kRHAC2ZfglOEKOGEtp5GR2WV6O1LBtA7UR1YDjGChhFFEhh3WBhwW4BPTIaJbHwOble29QwY5RqkcAEi9y7yoMozN3+kvwkDNIOqqQPMHnyXUCKHjMPDLbBFRc5z+kVt6TN9g6aj+lM/+6ziPlgA70AWYJ4HKpm9q7jTxRLTz1NV5hG+lG1Njuuj6pftSUrHmhnuWKkq1kBs/QAETk7BHLBLMc0MdnngpDBorDNXlQnTxwwJg+vnAyNgY7sb4pUKIfG0rs7qvOxmpx8uxNcerGW73t9sVnn4rrF89Hb2sj5idb8co7bo1X3HW7l6ktLa+oP9djYf5Y8G7SQGDjj//wN+JNb3lrvOZNXxvNiZr8WDSrfP8JsCDjVv2avlGhHase+mwrLkDDB1h5N4mldHw/aXllJVZWV+La9auxuHg9Ll+S0a9rttNeW1qKJQGgq9cue9vqjY3V2O51JaMcX1hex2yRl8v1tiwj7xy3shzrK0uxyWyQ8mCrb9oKYOe6aO0IBPG9JmY4trqb4mFRoG0rVlauKz2bNYx4yRzL+NTgFbYr8LSRy/lEh/vIfXRCfcvn1IVAjvKqqPwsMePbT+xmhgf8YDSzdJKPtrYEaNiQgra1rbbcnp6N/+HvfVN8//e/J5bE95NPfj4WjrXja7/6qwSaJ+LK5UuxvKwyCQSeOHEy5gWU+Ngx7WMgX2+3BFY31bP67ns8DGMcluDdl/nxoItd+RjnPP66pTMWuEH7/LCt4nSZS4VZqk08tX/d4z7t7PCoNu9ZW4EGgJA9Dy/KPik+d3VNe3B7dZulPyW4d/9XlqkWpIeUF30fFsVpKknlRdghWPG1vC4SOEnO7qd4IlAn2a9J4VlcjqJPGh7ecC+dzkm7q/Lg6UJ7ENYdZoOgVwAn5AP4ZFzz2GbqjO+VlJN5UagZg1/kxxiusdMlKfIlHnEy+tAN3dAN3dB9gfPY/1Idu9ONjLDXqQZhDca5rAKAhBGPumGALsbiAhjlTAzKU5ecF+BmQgqfnYEgNSqgBICxASZl5pkLwnUEFHE/dxDKGRcDqsKwxiBhSmlUhiB6A5piy3EBSbveulVKE2AktlBchMMLmoVlbyjgVCmFUyEwRg5EF18uYzsEE+RX8GA6L5BuKjTygX4qKeekf9wrFX7e54hWhA9Ht1GbADI9BhDgEzBlikRUHB8duVSMyWOG60ga0hY8k4anzgZhZXkk3BKUvdAoL5+EGozJlUvnyM48FvSJg3XBUdJ2XO67zPIlSXjjRvLGqdK4jlVGy1BH04MuYEjn5I0ckLeRMTRSNhadHDJMA0htLaXs+2aouE9kP8mWx0Aq5Z/pFOZ7GYfdzNhEgDi8azKQwcXswv620gkYuN5sACXto1/mXsqGE65VGhlp2b58VZQ/KfjUdYINo/+WO47/6ZFtQc9GmOLAp84xEgE2BmQqf4K7nMUiHumY2WHzhWZzMiabU9EWQKpXm55lAGx69gTDl7LK92Wks1yM92IoP2XmA6d4jFGOuwVgOlyCp7yoOzxL9QC07GD2xBNPxGcfvDcWl657NoPNBa5duSIgMIhGsyOe2lFr1gXgJqKqjntuZjZee8eNcXyqHgfK62BMtCrNmKhXBTx349fe/8txwy03x9f8vb9vwKWW7DLg1cDdZryhi5oJRnK33zMwGkgufV1DA4OZHSwBHrzLNNhWOVTWPrM2CuMdIj4pwIzQ2upybLFDm2S9sbnp3d+qNb6t1PTmDX4PSTKi7TX43pIAyaDXj5Xla8qn/KDrtoBKRXIV2OkJWAl07HR7sSb6zCytb2xajjuMT6ov6pzNHLpKy0dEaQF0Id7nUSlpBa5j5O/26wc+ArjMGEiGNZbXTeQHbAFw8IqcAcON1mTc8Yp74rv/0ffHhNrAH/7h70R3az3OnDkdZ06dcZ0zZrLDHbvrTbYaAn7L7sQY3TffcGPcdfcr4o4vuye6g3XF6brsiTb0x/igvuz+4PaX7YIHMmV7T9BBn6C/0hEUV/I1wChi0dwZE0vwTxvLI323iKt0CX50D/mpnreLNpvvzW1bZmq0kkXOounE9Al2n/J9ecZf5KhyEs1YT7wz3NCW8ETXweclGGL2kuI7ma5NW/coH4Q8huvcJVME9xXateIYIO1wlD7YYcmoPM832KnOy+GggUaEFGFcM86/UPcyRsIV48p4xik9aeGz4A1QBg9DN3RDN3RD98XuZVli9yu//rvWEjJHPEijUDwcS6Gg1DTsGzRwgx+KyIY7saSEUBfY6mN8W4JZH4xdgMtozupgOOfSBJ5C8uQWpaB4ujchQ8jqxzqBjLlKVcK/QwCkM29dK83FFr1oCJSSbqRSRRnas6xuR2nIHw6VTgRQjjayXcRUQigjQBjvABHJS8wUBEAk00OFS/7FqcO4Fl3TlydGggWFo1kdchQXYgYHyExB5EsMlFsqXPgpAJGPoqtzf72/yJ/0FoQcRpwNZi70z2wWeRJe8u1asAGST2MxRBzZjnoUH9bWcs4T3jBRkVmWTX9JT2Fl/tiuBsWFTEe86QZ8k16eoy7wJEpwhIGnK2RPJRAfYE6rgyD3nAEy0tGsJkHeZcI4RF5pHCT4gCUiUr40ijJOhtJW1C7UNvx0V0cbM7Qfwm0FKZ6NlzIFtZptD16IWzroul6oLY7whi+cy0vBCwdJG00mnkIpeSuT5fK6vIAyt5kRyJ2sdOSps9wectY9NvSYqFT9rtFsZ97LqGqNjpfVNSqN4PtBEGe2jPddmI3gyCyUQZeMzgPkIfnx7R/kgUAtFwCazikX7RPgTv2zwxszKw8/9GCM7/WiwcyLQAMzSFeuXY9r1y7EpUvPx9Wr12N1aTGUobrwftSbTQGLzdhYFbDY7kWrXomTC/PR7LRD8CLW+/1othsxPz0VF59+PG6765Vxw113x+OPPhw1gQkVIdgKHBmp+LSK2FH/pj1TRrdN9duq37MaM3hibHFbkOObRrUKO7CNxvracrFj3KiXr2Fos7sbT1x4fwcDnNmgznQnTp46beBHfW4V7xp1+5sG230BjJXlJdEZj6mpKdcRS+YAoEuLi9HfZjlezdv3M6SQFzO8LNPb2ZGhrzLTngfbfbc/xqu7X3FXPPn0064bgB9ATlm73Yyx/b/4p10BSFjSxRJAXbrPVWu1+Kq3vTXuvOuu+NRHPhFXL1+ImWOz0W61Y0uAeLO7GRUB0eMnTkruHeUXsbGxFZvybAABqFxXHdU6MzF1Zi4qLQEP1U6o/ZXv29ECVZ3GS5a926UPrgf3SxgmXhGftpwgD1ALIFRawJ/uQ8ObpYgIDy+8vI5+psj0vqTJNQ8MFK8AH7Rb5+IxXvcVl77o9xxFlzS0Y9NS284l1nCQ9/nBJsOoxyWGU+pJwuQe22onoKMfypMF4yXnOhCPH3VBHj6HLlHIkuVugCv6vNJxn7TMHDHGOQRatGSAj495LupSQ2owxGNMHFWbZkZJ1xmHkic98ipn8QmjjMMldkM3dEM3dF/sNMy/dFfOFjFIo9wneDeE789oICYDK2QdbTxJIRl82O8qLeDoQMYZy+Wgxfa4vOCLqQlIkffTSNaL7/pJng1rMInS5c5o1kZKS3qUUAIIMiVfqQQrIpQiis+FlqaAh4P9bdGQEpZPOhgl4kF8jZPPYX4YGtA/8jayAGuyZkrvTSjkSwCVhhiRkzecwYlkYxvbSjiVnQ0EyYhj8pzX6LdUpITn/QxPpZnGqLwML+oCCVsGiofx4VkvUhKHa4WbN8K4dm4q+W5u04yhwIwdL3sz08YRwwQeSaeTQzo66Bp6OpfH+KDMLjdHym1f8EuupZI236nED8tUpCVh5idZmlOe3irvIp0/TKw4pU+Xx5RvggvOqVVxlueqf9004CEORlbKleBMxzHfa+C8kIeNsfQ2YpTXrgwZTELvFGcK5K96lQdEvdDBM/cUVZwQD1AH79l31HhUT/hRv4+TZc/6YjYNV15nPkrucoqfQ76SNz52me8OcWRWQWWx/MajOlH3+zydqZmYmZzV+aRAU10yBzQDKvZsaPs7QzK6PUMEDfnMFUO3NB4LWTvflCsOFqkTf1BWZTp5+oaYAHBMjPoJ+e42bWMsnnj60bh89WJcX7ymMrIV9UE88PDn44rCVpevGRRQXpb8AWZ4MNLQOHHjyU7cdeuN6qOV6A22YnFlOf74dz8QNZXx27/zH0XXn9FhZjnblduB7uXYQL3tqowAHR6G7BtUTEj+asYqmwCa+v/a+nJcX7kaF648H888/1SsApIEZGgX7HS5srosue9Kfs04sXDCW3ZfuXQprl2+FL2tru6vqV0IDApkrW1seFnf+vp6zM7Ouv7d7jUuMGvF8j42cvA3mOBbMdZX+PbRRizx4VfSrq66/W+rbnYla+qT3eqoC77B1Bv0JR9m6+j/qgOVCaMcgFoXKJoSsJycaquux6LSrMW5W2+L73vv+1znH/rjD6kOFsXDXly6cCEefOB+gcI1P3xaVzk+/9BD8dD9DwjALkW1XouqyrzW67rO+AgvHyM+dfKY2u1AQHLTszaHfV3M+NtrcoCQXbfHo7Za9jGazmF/0z01Z4fR1hmL3CdJq/ICvrxUmTbu2V0GUsUv+gDlYEmhlxj6OsG8H4TpmsjmxQ9+JMNdZkX7agrSBcrL4JN4YsC7r6p8zNgDNnPjBJVMvFEqgxnFo3dzzzulUi6F5xhPwfRncgnw3FcPj2qbxNd9lhubPaXzh6jdhylTxpEk/eMBCOAnDhg7eA+TbeKrMT5Wiwp+PD+czQY26CP6tv65nlRpogMQgx+dmvOhG7qhG7qh+0L3soyOVvgafGV+2KOsDnfQ8U9DspQHMTGkATOepWGnOoGh0QIQAXhGDYx4istyN5QDTxDTaBiTVjKwMihCAek+IAd6OrMZpDArWp2XRhthZkqhyYbSM1Mk4z/5YOmFfGxLyYh3xfEL/nIc0sMbxmoaauV7O2MyQHiZnKfLfulWxc/4WW7PbvgaxQY78MAdswZLDktjIcGKE8iXRjLnecy4pTcdjEDuFYoP5v2ujmngsuw8KS23B3d6a2LF0Z+ytcEAvUPjRXFyAwJJmLhELUnKEdcGJzIxiwXnCica8qJwmUb1R/riPkre3ysSyCnXxpcvE5dPRx0bYXLmDAAHRVzalsqL8Q29siw2IvRH1ilTjJA0jHDmxbLLtpCR8ywNJ1zeK+XtjRZkqOBt1OjITJq9aEHA8tOxyCXlS2aUVXQOwY7LkHXMu0llm6As7j+Uj2N5rSOzfSnrgoYL4WKInmgVBlZpeOGRR3lOuVQLaqOVaDQ6MTU1H5PsWNea9reOGv7WEUvDJlzP5cyRlyQJRGCQs9yrlOVuaeDq3LNJtFt59xn9Y5bXH1xVv2ATEd43mpmeixMnTsdAht3G9l5UlOczz533xhWjI5W49aY7nRcfF22Kt43NQawvr0Zvo6u2XYnV7nZs9nej298WcFqJjaVrsbW8GCfnBfAaTYEvdmHbjd//nd8yWPi27/juGJFxaNnph6wZJTjPfn3gcvHNIN4Zo61vayzwO1f9gbfWXhZAu8D3hc4/7Xdy1rc2oivDn1322CyCLbFPnFiIXnfT7+d0N7sx1epYJmzgwDtOK+urlunm+mYsXr1m2fIuVa1eF+Bai7XFpdgRmCIN7/PBL7tmLi1fj/OSz3PK/3m+1yQASLlV+5aTvfjuCwSMqN76gCbRoGGV27qzjLJW49tWMpwZ1JSWvlOpNuJV97w6vuEbviU++YlPxeMCpI36RJy96WzMn16IW2+7PV75qnti4eQJv0tFW50WqLvr7rsFBjtefsi3oG675baYmZ2zVGdPzMfS0mXxfU1gohGTrXm1q0b2M3UOA9TSKwUy0anrwf91YS9agD/ikRTwABBK4JC+BEe5mQayYFkngFe8Et9tlTyYfdLRMmH8U0aMgWoJykF5qEXIA3Z39/g4uNJpvMN7ea3Slf2OGUb322TakuSZhd8FUhDPXFgeR2YjzAKhWhRGlXhmiKphWKFMkEYmnO+VcdVGdyiziEKP/lWWWTTzYQT5I8s8ApDGRvlws8CQ+tDoeF1tAV9TNQOM2LhG46SOOV4yjtCCciyFHcaaogqGbuiGbuiG7gvcy7LE7j//5h9qAB6zAkG5MZh7MPa5FI6AkMditIZNScXAUEG7COywEszvnBg8MXRjeKUSy5kHFH4+xfNGBozxEOGgMJzBEopVPy+t4GdtxJF8RbugyRNJh6O1xNuBwNEos1SYuOxgp/vwYiMfNuX9vg95kb8UJnyk0SqDEKAkG4Tbni2SI43Bg8vJtf6JP4frn8GKjqQv73PvhQqLe8ixNIw9gyKXcVN5p+Irz6XI5cv4rgslQTaQdkamj4JO+WSdseEAT1lVV5YRT12Ld0lkLGCUwHtpICTASGfaBVlxpXPqB4CR5bGnjHLwBQuu06JsOdNWnpdpJFMrdQRKWbJcZJ9PTpXGIJDqyCMcYHiJgn9ZTsm48BgbpLfRQVm467AiHbSVP3fclvXb25ExxlNoQFEpL342WOTEJ9euD9IW+UMz64CyFvXHjwAnyzLnOUfSZ92SN+3VNJ2GvDhCj5B0nJe7UJGfrzGgqCu3ZSJlm2ApVac1FbNTCzJqj8fM5LFoN6ZiYoLtnicUUUBNvGPA+4V2zxwBhHg4Qd7IinZhqVkOOK6Vq4xFDO+Kl++xhIsPo/LNIN4R4/tc7enpWNpYj6cee1Q8zPj9Iza4aLWnBJ6Ox9MXL8nYF+ho1qM9ORXNRt3bXW9ubArI7IhWzYADUHDh8pXY6g5ki47EmkBLRzR2mTGTkYwh+/DDD8dtd9wVN912Rzwq4x9TkJ3tihpDcG4DAFgDPpWVby4hc0AF+fG+1ZZo93t9b6CA4c0MU6vejIrAzY033xrXFq/H9atXJfO9aE91kJLjkx6AycYPO9uD6G9uehMHZgQmquOitxWtDlup877UQaxtrLnfsSsdM0Db2z1vhHBt8Vr0eC9KIIX3gABnK+tr4nXXs04AotHxatx+9yvi/vvuU+7Z9vgD7DIm7SseMhsA+gQc19Z78ZrXvzFuu/Ou+E+/8Atx+eLzmbfuXVQdrK2sxWXeBxPYoD3OCQA1Wk2Pd5vdXky1J70j35XLl+Pi+WfjysWLUWnUojk3G+duvCHOnrtZ7V1xN9dVzjU1FclZgqdJehdBnXgZGUa/bmSfoj2pLak81FGOSbStBOSA/DItoCjD6JPMcAoc0U7JQ/VAX1RKy8BtVUfGGsZN9x33bwXT9/QHWPJY75rIfD2jXKQ9cqQiXfZRx9M/+hu3AEEkoDegarjv6yIecTzmOUzpFB+gkjQgmPEp4+EMFEFy9F887RbZamTROeMh4yOzRwCg3KCBGb2xkXyP8IUz09BGLAaryBqW7HNc/MF3/7DzejE3XGI3dEM3dF9q7uV5B+k3/kj/NQhbqWjw12CeZwz0LI9IwGFNUICONJalvAAR4wpjRkhxZUlIcQqkFIoOUqnPdG17WWlQNmNpnJEXT/8MkFC4PK6TgejBX4rUCpdwGQIsX4F2voNEHJTrjuIrHsDIdDAKi7xNX0f9Y5kFBh8zMBhiPO3N2RMAUmEM22hXGCAKHimz+NAtX6MkEwykZBwmORCOg+cECr7KsgLECCN/K/oiL9JZeWa478nnrIqUrynoB4BJ4j4nHOPBT2qlkEsZpbHCOe+bIBeepuaMgWkoDRTx5A+veZ30UPnOB94Au+Yxjy6rY8rpxHEppG5yX1IQ35ynx6ChHAku8sknsSyfgwSEKHuXlUZROOgS7iO5wh6nLlemN7hR9XIP75qArvInOnLMNgNA4mX9om0pDkaby0L+kC74dR4ZwD/Xg8vuI/VRxNO9FwKmjK9rE+Bah4I+PGU81aVvpUFFW3E5iFo4sWUntnUPsuQ3JmAx4d3KpidnZOyeFDg5LiNXRm+THcxKcKS2IJDAbAq7puXL7DLABQw556EGbDlHgzXoJy/YhZSTD6qOsxEAAEkeQENfoez0COTZmZyOB+6/L3rd1RgTw1PiqdmajEtXLsfYxFicOn0marWmNz4AEEx2pmJyetazNb1BL8bFL/mMTVRjv5DrjgxtjGd4xYhnORtt72EBo1d+2Wtifm4hnn36KefvEsCzi6DRBEERWh59Izc76G0L6Kjc7NKGMc4dQMnCsYU4ffZsPPLwQ/6mEa5SGzdA3BSAO//cs17CxreLdgQ6mDVaOD4XWwJOEpMAYEVgNd/zYvzgoc+1qxdjT6CK3fHoYzsCV32Vf3NLdaHxCCB0BFRHXTfsHMfsNZtD3HrX3fH5z97rWTv4pH1UBVCbDdWDgBKgdUJyabTb8b3/+Ae8ocKffOiDak2Mh5R71+C2qjgsw+tMtg0+lpeW4sq1q3Hp0sV48sknY+na9Xjqicfjoc9/Pq6pzq5fvezyn77xxrj7ntfEzPFjcfnq03Hp6iMCuxtugzCE7AFECXIIQPbZn3KGU+1Z1eN3hcwP4flAgmWq3kRDR+IYuOuc+mZGF3Dkd53ISH80VPQGdZp9wCx6PKWdEo8fcmbU4JxwMiZvxy2OHin1l/2WQNpOEU8+20/2Rb9/ZNDHNeVRWPFMDgeJpHPE0yFtaBVp3aGQByMCy+gYQwx0eJeUQvCQSHE8257jokGRgRLXJXBizBFAZswoPI74dAX4hRf4pBhDgDR0Qzd0Q/fF7mUBSO//zQ9q8NVgjnLQYIytwWAMEPFyOIUeflPo8Ik4cTzmy7jRqD2CIcqSDp7ooSwVV0O8KaIbiK+45Vpw32Oc15lnnEpfaCaWraBMbeCID2/vDQ8GT8SDH8CY8pT2dRheNABr5s86SYpKRlfOXOVsEcYNRhHGiL/FpHArWnFro1bhcO8QnROvNJQJ5ACY8jVxyIdC4pCdj5Q7jWkUZAl8iGCausaXjjA8Cg8Klh8ejVie26cB4SVYhfFhkCRQhMHh+xgnPJnVUVHTFenztAz8uw4ReJarKGPypBv6BzDICzkl98vzSmAZlHELOVJmPnxrhY+cpfQxkBL85BJH5WZSTk+7K3hNgyfzKcvq/FwuyqBzjo6AgaZw0fDTWx2zbMTdD38AVnFyUwbicS/lD9OZi86UJ+kId30BalW/nt1SWNYd5VOd6R6ZK0aGUY5CNr4uPNeOqCMtiSIR2/y7vBxLn3WT/Y62Om6wUm+0ZPDOxOzMiZgVQOq0ZosPwOYSHBwzZIP+dnT73ehvs2tdziDRb2gbEKVMLp/rJsvijxOz01xhgPONLs8eTbDN9oTv0WfoJ/SRyU4nLl++EhuLz8ftp4/LsD2I1fWt6MhwrzUa0e8N/JHWnOnoRndbBrDqf1fyORC/9fZ0rAtoTNTqBl/M1GzLSMZAZIlZS3QANLVGLdix7d7P3hdvffs7g92SL18UCGEscon5n3KkHJQLY5xZJrYBd12ovOxU6NjUp8p85oZbYm7+eHzmM3+tfjKIUcmHDRrYLn1zYy1WVpbj2rUrBiXI7OLlS5LhrsveF+DqS76TU5NuU3xotl6rxebaSmyur0lGY7lFuOTPezH0w61e1zzR7pC/GpHrJ2dMNEqqvTLbdsO5G+KRhx5we3XdUz+qJ0AEH5NlI5O2gOi3f8/3ip+D+IMPfEBxt9UmplUnkxoCVRbJUQliV7JnI4ia6nBWtCuSMzRPHV+IdrPpzRsWTp6Mer3u+m8r/S233hFPPfN0jNZ2xOOGwbHBA2Op8mOY3WV3NvGnbmV58wCG9mvwRKOV98Ma3fPsHtfluFTIgHPGJJbX8dCiXPZKT3b71895iN+jcZL6K8YUql3xCPPDLvVlL4NV9siX2/DBNQefOBTKJIUHjQE6Tx4JpB/K+7484I8yu2wKVHoouEmRl1wJssiRMdG8Q4cObs/IAH8UhWNuwoBe9btHaivebdJjo+oHcCTPkb7g9195LKF2wLjBOXQSgEGZGWr4T1nBx/ve9c/N24u5IUAauqEbui819/IApN/4U4Z7D8cM3GgMKz6dGHBIWbLUheVCqBjrCp3njnUoKMUdkdJ0XIxT0qIsiJvGWLnErTQ2bbRpkNd/RUMVkLaY7SC9ARAKtjjCg+Jh8JIHcUmTy+24ryPcFbNPyaP+0FTyGDoYt/nSK8qNssI7kfKIJ8yGCjwXBiLXKKk8oruOgI2NHxvekNFNOWXv+FaYCstZJNJmev+TJx7/LBfTzHCONujlfSlHmVDONvZVfitJpd8tQJE/ZKojNQa4VATHoy5gL8FF8lkecfAEIYCwRYF3XaU8skgpL25SdhsGDk6ZJIDUOTNyaj94nblFIQOfEa66t7GActc98rHMRMx8cKWjWxlxHKaiYHyp3GW7gn0AgMulkHyXiDaU3st1MMjkS4CEK8g5D6ony57hDpMv31fgaHCtX7Zd8U4ceC7PKafPiZd1nHF0lFfWvjZ3/CP/QvZ5yLIc1os8YBLQ0m51otOZE0CajymW1DVnPEPDhgxsekD9MxPRkxHN0jC+8TRgp0IbocASWMCwom6LchXlSADGMrqKQFEtxmVQ8x4Qxhk7tJXtmxkfdoJDvjXiC1A89chDUR8XENnjwQSZyKjTOEAdMXtx7Ph83Hr7bTE7d8LLPvkA6UCG8Po6H28VH8qvUm96dmlqdl7AqOP3gbZVV/W6jtu7sbqy6v7/mXvvi+9717vi8vMX/I2jo3ar/KjrQrbuKzrZlUwwst1Xix/3T5w4JZ5uj7/6y7+QkHMLdMYNvt3EzCffJup2ewI760orA1RGcrfPtuG81xhepjeiMGZzAGG8/0Rb5KOz49UJ5TsaGywpFIgif+JQH8iWbdZpttQVbcHtFr4VdsMtN/kdrCcff5RCOS8/yBEP9GM+dUDL/Xvf9M1e9ve7v/UBb5Qx2WlFvdoQwJmK226/I+bmjiVP+gHAeN9paWnJZYfq1QuXdWD5325cuXYtllcE6lTHp0+ejg2Bw+eeejZe+dpXR0sgCoCnmhefyEntybM9LI8rAJNBhuRsgJPjUI5JulbZAX6UF/BDu+H9Ii+LFl+k3R7w7hHvRuZ98in5pN9kv1Sz8ljNuEI7ZlzJ++6Xjkc/JBVjjZO7AyFbLgzyCNLRD9hoI2KMYPjTpa4VV+MTrcTnTmcyflhISOYlr4sknWmIiwP0eOZIR9N0YviGT3ai45tkbNdNn8q6xTMOMltUgiR/akPXKrj6E2koV5FGYXCD7iwfrjCmjhUP3t7zff9U8V7cDQHS0A3d0H2puZdnid1vfshKIA1flIiMDw30eSXFyCwSikbnfiqtM0WXMYUuwJBNYzy1A55wlEoqNuiWSo50JRCRZlFsjBuMX+Whc0b/A2++QJh8Eccv4DqMp5fcBxjIS6F7eR3nxC2NYcrjfKRgpGyZuWLmAt1WGovEgd+MhwLCgITXVL46Nc/m1SBIcinSiFkbM3i7DDIdziwFyYO8ijumk+nLa47Ko1D6DoZBK3PJQlQ4ehaNK8tGZ64LDP+UuY0AnSvE9xMQkR6SGV//7H3KmU7K/PO8LGvyUd7jP/pcMRSGcpdsCCOuj9zjPTSVobiX9Z0gyukQJEdalPLy2nqdO0yRDJZ1hRGT2UJUVBXIB11FPsGO7rv88vygDj2/e0XbkHy8RFPOhhvGWtEeiI0zoC2uoOH6gCfC4VtHjA7PpImPsq3oRt4Xgwn04DnjpCTkRNYgRD8baMgIOeiUvFwluqY8uKKKXC7qne2lAQsdwMPUsei057whQ6s5KfDQUvuVEaVOR9l4x4ylXGxqwBEDvHz3CD4oYRqEWTbXscrq2VMv3eKdo3zXiDL6IYbq0OV1GbOsbNTQarVcxmazFR/71MdjbeVqzLSq5v0Ku7X1BAxUP9cXl/3uztbmuuiNx/zcvIEe6edmZmUk837PdqyurolnZhF24vnnn42Lz180ryy9vXzpsuLsxhazQarLBz77YPzffvCfxYMPPRQboksb8lN85Z1tNeWfMqZ9YECqzhWAgc2s2Ne9/Z3x4Q//uYz9HYN4ln0xY+Y6kkzY+prZq431Dc8CdYotvFn6y4MVZEz52GyAMMAI7Zb+BiBYXl2NLu889Xu+x+xYAoOjBxdH42Pyz7D56te8JtbXVuPS888rnPrJ9kReANVx8f4t3/otMaP28Bu/8qvRqvGuihKqvXgJpfJiWeKI6mjhxOloCaAur63JXh/zDOTG+lpsdrvRECDtbvRiXUBwa1PgSNnUa1V/H+r8+WcMhM/ecmucOnND1KotA6ONDdVjV7SUnYFQ0f9YMuhNF7wpgbwBkeSie3jODX4AoeLRGzIAiOQBaJ45NEAiLtXnEcL1WHQxL9n0+6qAdY5un3wrSNKjfaoAbKzjMahoA9z0Cgi8rsS2gnSG3B3CgXYjLeObOOStuI7GP1+aXKkf4Ae+6AuloxpphziJQ7KhzaX3LDNgh3eJmD2CQBGXcvrHmKB4/syB4vmBBODICpUw3VMaABI7ERYjrvlkMKb/Q9fAScy9+x+9z/RfzA0B0tAN3dB9qbmXBSD96gf+VIMyQzeDv0dh/ThiAkoZskmDFI1nZ6R6bEDxdM+2/66udeQOszpWKJneMye6w1PaEoRYC+mA0vG56ZFvGrKEYVCg2DDyyS8NYzSRjD+BI4AUuxeVBnG+iwR/Io1S5EjelIl8xSsK10unCj7yCV/yiscoLg37fHqpo3nho7YUFEPzqBzct6zkXa7ySOZ2xIWfI+MUGnm/5AF+MMjzyB2UX2nY4jjaSwZKdRhOespMcVNzyksAiLVU5siHeE7hdD5LBft3XPJOslJmlgmKG6dwlLGfluKUj2fi9PMsi9Nmno6rc3FMIp1TNp6I61Lp+GGkFFEtb8IygDv6qfptBItP0hwCI7mcTcq24WU8tBuV84WO+96YQfccl7KbHfgvy5ry9xHefcx6yCPtI+9T1vI642GkkFPBt5ybne4V1aNs1P4tsywTfHDEiIJO1iu87XvJGcvppqbnPfMyMzknYDEVrUbHO9TVqvnOEQBJErMBzYwChjsfRMWg9e5dyZRd5nvkki36pAxvGcTMTrABA96gCSO0OJaywXBL2e1Fo1GLqclpb1jw8Ofui9oohjC8835Mx9/aOXn6bMzLUC9l0+324/KVS3Hp8mV/THZjczPW1tedB4DkqaeeievXF8X3aDRF43OPPxY9Gc9dNkoQEQAA8S9fvR7vfs974+Mf/4Ro8yCEsSbrkb6TsszyYlzybhAXtJkvf+3r49r16wJh510+vv/k9kJ9yXuTB+XDdv+rLJcTPYxxliqusn235KpsbPwj34EAR3eLD8+OqQ76CfYEjFiCBzCgnQACSVcXMDl+/ITqth09xQE00g7SwD2It771rfHE44/H6vJS1hUZIW8d2Ob6TW/+yvjyL39t/MS///fRK0Ao71J1VfeAlBXJ5vMPP+zvKD319DMCWxsiMuYPCE+rriYFTAd860ggbKu7HrV6RW1pLHqbfEB318sKl+R3tvfiy17/ppieOx6ra9fi+vJzsSaABIBldoQldgBBZnwGO4AkASKBH8rijRdUbm8rT98kHp5wQFwBknaYORIoZvbIs1A0K4rq5dD0MdocGEFHtQ/aiNuk2yl9LwG8x2CFl/VvYTHw60gLIIzm53Mdy7EQXj3SqG8r2+Ku3CEfmdbjkRjhPkf4ojmV4346xXMM2p5JKIM8J80Xjh9OoSPxDKBYIsv3uwSKAFN4NU7FUV9k+R0/0eC+xxBdi30SF20naXpckix+4Lvf4+sXc0OANHRDN3Rfau7lAUi/zRI7DfQafFEk6TDwdNA1AIThHaCEcYFRPM4TPH93iKf3ubxN47edjT4SayxPA7hQMPZ5zk3Aj5c/mL5oYBk7DCULYEpVl+8bkTczRyyPkUGoMG9E4PTJM3rDBrvyyM0Y8pwbNo5foKwMgAiCJ/0wjAjHo3RQbhmHNJkOXlJR5nkZX6dw6aP/mQbKFoNYQcRHe2asQmnrvuXBMZUqSp9wjD3qoZwhwpGPjdUXnJui6sw8m6+CT1iSAcZ9GxLc4+f7R3V8RM+Hgpe8SJplXRFgQcokSLmUjrLgoeGjZZbvIFEmHMqe/JNh/SvydVviHokdJi+DjHzS4EV+GV4CJnw5M8TMUfl+0eESPNPRtdoGoBpjjDCy8IeAIS968Og8iryzvpPnQ57kec+BJ9luP+aB9CaiPMlLTnFSphlekNQxy+260rWjcIQnxcHAadTbMTU1FzMAo5kTMd0WOGqwfTfASL7Wkm+ofcqQkvFPmb3TmoAKmwngPbsKL86eMtK+eQpNHVIfCfDgK43PBEIJjtJnW89yl8apqemaWsewhfZkpxmPPfaQjN9tgYJtz0SxlIgZgu5WP64uLpqXa1evxYVLF+Pa4lIsCkSsrW1GX3wz27W8IoN9qxdjyr8x2Y5XvebV8dCjj8qIl+GP8S35sLSVNke9P3/hgreqfsMb3hT33X9f0U9KGReyV9lcZwbvkrl+lWo93iyQ8dGP/KWGj+QfYMKspDc/UBlpocxGMFO2uLLiJYvMqCDnrkAJ41PWvWxYxdka9AxQkCPLxgCq0EzwAkigXe7FPfe8Ou559WsFKkZiamY+XnXPa+L8+fN+fwlXq9XiHe94R3zsox+JPvk4FIDANvkjcftdd8d3fff3xL/9sX8r2a26DTFLyDbdbBqxqTTrG5venAHm2GacDSrWVldVV30BoB2/q3Pm3E1x5sy5uO2OO+PcTTdFo9lS+RqS1ag3z+iKn8n2dHzl294e7emW6nTTwHRivK72UcklcYBIeYCRupQ8M2f5zqO9QBB14eV4yEFAyLNHqkdvyCCw5O28BcQAW0V1SYY6CiAxxtjTPlUOeMtdMLO/lg+vcoym3rPfui9CS/fIHxniAb5uC/Iek5ybLjnqGuBBO6Fdk9YP8HQEXPvzBc4PD1/FeMCPtITpR95H7x7lddLyU0OnMw9FOh8VxuwtH4I1MHI/BCzld4/op2y8wnmWGToCSBoTc2kdpaOMPOigP4sTHb/vO9/l8BdzQ4A0dEM3dF9qLi3Ql+hKg9nKQIaSxl3Gcw/E5MAgXCoNBvjc2IC19DuKgXGGocoyNxQl4SiLVGI+R/PJSTX66DMAjpQs6aRapa/kC7DFkrn9GMiz1r/Igy+8A8ikUGWO2AOocpYE3sko80ojMMthHlye4r6PaFClK59aEpef7uVT9FR0KCy/zC7PkhyUUqm0KUOWMcsFHQO8AuSlx1mKeSYtjnFXfhcEpY7oefK8i3FVehkZKhkprBRJZ6e80uD9ux6+bYTDF/qZHQItBxRyGvcud5JQmjw3/YK270PD54Tkuf8rAGVt5V8kJZ3lgZLGmFHGPCFnxkehNnDxGDoc/VNakqdP6sipIJkGgS6ojaJGkq8iAoeSX5cXESs/gihTpTIqUIHnPR6+5TMSNR2ZUSjb4wvdoUx05Iw6MUkzUchPZeS+81M+pTdgI1FxzyCUdAUdXKbhnHIc1QHtixflZ2eOxcLxc3Fm4aZYmD8T8zPHY7I5JXAkI3ZCBqoM2fFxlrIhLdoOYBCDU+Bol80CiqV1AEYZr2VbOcy3yI/C0U4mKnx3RYCoqJuST6L5CT1tnfZSlIlxAWN/R3n1Bnw8dSmWBHj4dk93byR6+6PRleHbF1hiwwVmHERVAGQQrWYj5udm4+yZU7FwbF7n0wKDvJMxEnUBl+7mVqwur8aNZ26IB+69P9ZXWT4nOcpjCPNRV7brZutyddP4vd/5LzEnem9801eLt5TlkX8B2FU9l7PRp86ciavXrsXOQGOHyxMCNIwn6ucay2o18SEwwcMMZoHo49Rpt8f25D2DOb+vJBlwzhFQwkYUvX431rbWo9qoegaPWSPaBADmda9/g+p2Jv70T/4wPnvvp+Izf/PRePKJpwTWvkZthLFkLBqNhpf/8f0l8y+ewM18HLXVnowffN8/jZ/96Z+LlaWlqHjpo8opuVBnzMj0uj1/86mv9H2BzZWl5Vi6vuQxdWV5Ma5cvBCXLz4Xn/rIh+MhgconH30srl9fFsirxabiX7h4MRaXV1S3e+o3AofXFmPp2pKG2EpMNU9Fq74gANmWr7ldIVveAWWYY1kdSwgBPdsCPcx2MbO4KwC8K/nmVuksNcwdFZldyhmmg9gBNAGC3VZFC3qSOd59Sic0S4Cyvxmk+2VfI5w6dDo8ae2pd/FXjNmemeHdHtUxHHM+XoISBkgRK0EXY1ZlvBITulcZqypeRT7DqSuXu6A7znI4KCgd1/nBVw/8uqZNcp7H7IMUjDjwRNpiSR28QUlHb8qgI3lXBJbsxU9VR9po5qd+Kc8H3BlP+YAz/bScAR66oRu6oRu6L3aMyC/ZjQBseNqOYQF4EFWMPcb3VBIEaMDXsL6PosYIH2WpS777Y4Aja9VLngy2MEZQqvKKKxJKr1ArjWLWSIrchozi27CzVlTafETpeHv67ewPdC/fR/AsQQGOvBafo3lJfg3ulA87HGGr+umhwlJ5wb3y4F5hyCK8VIZSXRM6spGD7utS4QfyxdNLaPscmrp3SFMX0FW4l/j5pyCCFZ55KQAwKM89FSyNcHkMHZ5C7/IUVt4GqcEm8km5HDrKQp6WZYajell2AlMup+qGO8x68PFZlg0BkPKpZMEzRyv4Iz45JsXyRHlLvpSp3ACBW4fGKAkK48HAgEsYO5AihzAUKKfTZroElpm3zhRX9+Q9C8SL4W4XKUEvHVQaJIVszZNJUcdZF34vTscx1VOzPhaznXpMN2vRrk1ES8CoLWDUqVWi1ZiIWj3rl2WilBdj0/WmQ4Ja+E/Dh0DaPC9JZ+bl7JBvFa5Iq2PyjMRUn5wXcSgefYCjyy86yAajuNOejrmZE3H82BmBh9MxI6A01Z6JZrUdVYGjiQl2qpPHqDrMVIREzGBaMvOskfpEfvg2l7bCKzJ2f81LtwtvUCJPU5ngOEG7QCa0jcLgg0e3DQxUgNG2DF5mqXIpHzNG1Ad0zh6fi5ljx2N+4VTMHVuIyamZmJzsRK0h0Dc1HVUZ4QiC7/hs97ZiRCCkotQTtE+NF4TRn++483aBrvV4/uIVz4rwPR98T2AEmfK0HkMQGdNGfukX/lN8x3d8e8zNzzuMdpBP+lUGg/VsZwwjyP2mm26OZ595xnzL3pZP4ET99wXi2Eyhx2wH/U4yBJjVBHjYtY4lgDuSAbLYBhypT15bWvRugTnDzXi3H6urqwZMJTg+fmIhWp3p+KuP/pX7fb3KjoMj8cQTn4vJ6cloC/xQP3yk9sqVS+7vbHFOf3VdVSrx3ve9L/7iLz8cly5f8MYHfWZfmInReLGrvG136x9LM8dEnzD62vrWZly8ci02trqeqVrd4EO3g1hevBy9rbW4dun5eOaJx83H3PETkovqSDzTLmhXzTqbP7R0PSHZbInOhuQ57rY6O308mo2pqAGYkCVL7QA9O2qT4g2gBTgEgHo8kzyh6SV3kp0/9quykDZ7C21B5aB21E9Snix51DgJ2CdW0X9yHCzi2/OeFvQIBpLT7xgvqH8BDoEGy0bl8HeGBDj0T3JP4FSO3V5uythI21F85J+OEUrjhP6rteh/pmV7bjYlYWwgH9odcZ1CaRlb4QdgVn7b6EDXh+Ml/U3p/F6Rzv3QUWNmpeCJ3SnHRZ/3fSkydEyf9PLwTH8AvFG2cvZ36IZu6IZu6L7YlSP6S3QoIkCJlJMUdjnsY3RwD6dhXwqBMylEb63N5gjbUlIyHry9N4YGoAcliOaSL8Z2nHUEJwCdvQJQFUaegZKUQr5XAo2cjcIoQ2tawQIaSKNrG/Wpi0zXeSgMGpyibDB2SoPPyyLkHU2ccgTk2Ms6wFAsQRA0mTEiDg6llCkLg8yGfgnAiIvhSwzopice8ctvDyUwTP445nIwylPIweVO73hyNriUN8aQgZGuyVtXBFip2/DWPRuHBWCx0pQC5Wk4ZeMeIM8zSUV8F0eec8LKJ7TMnOxzrduWks5dfuVncOO8XLijcJ1jYOd5Gf/Il+VJ4xUekw5xlYnT41I+nPgijSIxkl/FR6bQE1ewRRHkxyYOYn6qHiemO9GuTkRdhn/F9XEQFRnyFV2raqNSBZjkzKeLT1tx+yxKCk2Vy8t7LGPicCy5gwXSqL6xJuW4TzkcagIZtzT0MNqSevoRpavWm37PaOH42Thx7MY4NnsmJttzMkonBSpaqtO6BDWhOhiV0StjUXnyxL00FMtd2mx4kglO2SY4yLpGvrmEDuNwRG17QmWvy9c8g8TSsnEfZYzZiFQaZItXJn4ZX95bhQvg+D0n9UP3QYXtbG7E9vWLMSWbs7u5Fo88/kQ88uij8cgjnxcYeSqef+7ZWFy8GpvrK7EnoEEfX1/fjPOXr8bzV5fi+spG9GRUdwQK91XWj3/6M7G2ueVZsF5/O41sPLMO4odleZRfjTSuXrscH/rQh+Jd73q3ZD8unrIv0fcZO9w+qWDEIjksCARcvXLFMqONA4Iw3tlW3LMaLI+j/6mcVB8PKXg6T32x9Iw6BljV6g0DG8aJutoRnymghpEfs2bIcLd4N+fmG2+KT3z8Y7qb9dMfMIuya9nxbaKFhROSyX684hWviKefesbAAn7gn/y+7uu+zkv8PvjBP45er+d2T5E8i00bFZ8qrWlT3tJg9iwHda+0LKNrTU7F7LyA99S8+G/G8vJKPP/ss8xhxHPPnTewOjZ/3OXm/SbE2GzNREtAvVZv+2PEt974irjl5lcLBN8cndbJqFWnlKvKLEBE6yb/bCsq+3bRLlW2/DBzttX02X49ltnzL8/dxTgpbyqAvn8IpvAKL+swS+7mYJe3ab8SEl5tfpSHIer7LJ1k3PNgUUYW/RJQ05c9FhX5+qd7zIEz86NRx/0q+SjiCMx49znGMtoB6elDOi/HWP0zHUUv8kPqLJvjO2AsqZNX2/e4DNCS57xMA0/WVxzLc3mfO7+s96zzHI+GbuiGbuiG7u+6YuR/aQ5AIvNLgzAzM4AVZoUwzArjo1BMKH2DmZHcOY4Qlr15aZwAEuEjozsy9HgqKhps/a343kJ6VOm8hC7z8rbcNlAzH2/5Cn1C/E9AzfliDKbRZiNCt0RQ9FAgKA5dS2ngS9CAQ6mVSoUjwUSbUBq81R9hGMviEV3HbARblqP8D2nrXHrIxiZySOM6aeUsFvLh5ey8R5ivKQnnyIhYlK8sA8qen+IZ+OmaeyVAKo1xAyJ8odBdBh15+ugnpFj/5pOnoWkgYxCjcMelhEujCRlAs1SwGAY5C5ZpLSfiFecof2VqzxKQVOAo/wy2EVGci3DyLc95BhKnoKv8MlqWC/9CIFgcnJ7ZNI5JC1lxTbspaeMwJPe93fHxmXZMdZoqD8AFGRzIwAUk6tzHDGfWpFoZjXoFgwhSWW+UIcvLFfVBO9WtMrzgH8c5HGQclQnZUTeHdIhETOKImjw/GzMyipqNjsDRgozSMzE9fSwmJ6ejXmt4ydOEAAxb+/Lx31y+dfS9nMwfAzFnj3jnxcubMLrVZlzHY5XCfksGkC/8+iVupS/bBe+UAJTY4SzfO0IeRf9QuhfWD4buDkumlA9gibIw86SLGGdW4vL5qKgfN2sTXtZYqabBxqxMv7cVewMZ3YNerLKrnQxwQMDGxmZs9rZjvSvgJN7+7MP/LVYFnnrKh/d66PeAQoAgy6tYtsfTd+QMn/i/+Iv/GvPzc/Hlr32d+ASQwjO1kOXmiBgwIGss5ev2HO6+R0Q5QGyWmxm13DgBuWKYU7/IHoOcOISvra/Z8/FXlsDlsijaFFuky/hVf2L8OnF8IZ47fz42N9YNnNjenOWypUwvXb4UCydOmMFbb78zHnvsCeUJ3wkIjin9N3/Lt8TP//zPe3la8myWk3dkIc8pwdDkA8EssyQ+ee0O+rG2uhz9rY3YWFuTfNcVZ9t88pHb5bWVuOHs2TgQcGPbdbGYIFQnTbXHjtrp/NRCnD55c0xPnYrqWCcm9qtue2xjvtHfyLYgGcCf/rykjvefyJ+ZowSu1KVAp5jNmVXGEtWhgQtgAlChClA4Y6HfmdQlPZMeb1Dlguu+6zll6QcQooccSIssOJbjHw9w3FYASjr6IZFABMO223nhWS1AfI/n3CON2i/33KfwDAzqGczklF4DrjwzzIwB9D08IIyxmHyLtAoDEI2zVE5jMX2PMdvpAUW67/zgAaBGfPF+lL/4M0/pzauOKCovc1f8fBA2nEEauqEbuqH77zlG65fsRmVwlsvs0BZeNle8E7THkpi9bXkpwH3W4/MxRHZRyrX55WzQITgowI9MOtESyBGA4n0lluQFH5TVdfm+Uj6tTmPZPykdFKQNTGlFv2iPBWFdiMKQgtK5LkSHpRF1gQSMzHqM8wFNGZv5jhQKSKKxsknFl09aOaI05VGk4pkXdCGJrYu+Tp2d/KAfeYk4Z7X2pZRQyObQ9zGmsuwFWwr3E18udL/0iimZIZeMn6CvuKacBUjCIwvo4ShzWQ68l36Zom/6aLmobKn0AUcYCWkY+ymjlW4agqloda1fPr0s5KBrAJ1n2iAq4wTjAJoYIPBUGqJYdLn5gcJkSJZLA8nDgMs8cfSZfKaHWRugiku4OHCYw2kDuqfmY0PNMlHbKM0l2orbJhF0XpFNcGyuGdNtGfoTyntcRNSuaGsqusJksAsQ+Vzl8zJK8QRQYlYJPqn3kgHXmSv+SPaE5zlx0hkQyRcPk3WHNoIBl3Vng1a38JYB+cow5Xs7gKJj8ydjZpKtr6c8mzMypvaqtruzNxJb3e3o9VjOBgBi1iTbgsRiD23vjiZ5UxE8OXZ9y2ffyDZQestccTDYeOcFQ9EzpZYHs2ykKeuYepEBKiN3m4+ZytgueSjpUSi2Z6Y/YATvazzY3+nFdHNCBnUzJltNPx1n/nkgw3ug6tqT0bjWFcCQ3xrsRrfPQ5TRuP2uO+Kxxx/XOADAU12oXsgCWdooFI+SqESsTMUb/KUsK8p3VwDi5+Jd73pPNJttVwQAo2zfzIK57eocsEUfo64sR/2Dlk5t0PONIoAJ4I3la3yklvzKsiPzvkAeO8dBAyDCjA9xqYv1zc3oK8zbozNbofbz3IXnNGaq8LTlQn6uC+VKnpMzM9FoqT3MTMfFS3yMdl+8V6Ld7sS7/8k/if/yX34nrl2/JpojfkdqsjPlzSbY3j3f30nghjeP8pQN8IDjvKK2tTXYEagTIBWPbPW9vLwuFkZi8fpiPPi5h2JLQJxlb2X7W2F78IPRaHdmlOdc1MYaUR1VG1Ud9nfYWGMpVgWuWHhGu2KWaNDf9SwXZTB4YVxQDMu48ORpflWnllFF9WQvOqp3+h3jKt/Som1l7aSDLjN4LC/Md9x4KEBfI5biq63lhgYsZ4OOWLO81U3JTwGMc+TvBiaX7Y3GlkG0OQNwbsvnmFnwLH84s8NN0fW5EnL0LJLi4KFLOHnmh5wBMQAjPr6c7wr5I8zyPNgybfqvwnWhpDDgU9+j34rwIf0ce4gnX4zY3tVP5Ry6oRu6oRu6L3Yvy+iI8YlxjyFq4BMYAl0pvZ6UJy8n83QwN0yQupKRkk83AUyeZbJSw5jFICh2oCIIg5ZZKW/owH2M3TQ8DSwUCZCCasAoThUhpzDc3/2Pgaz4AKDqpBTLnEDRCRkPC1I8x6I6MS+jk7AZKY6WlVPOhBw5AJKI2FvRyMNPBmPcZhmQQwI+8saA5j+GCOVTVJSqjigyyoCOwrPcDqCB6k4DQcnloIMRYBkpzPdssfnS8UpDqgRgsLlP7Soc4wGjBOOEp5g8Ec00WQYxZAPKClvn8JWUccgVmkRTPPnyKadCinCIKWbBsGL4v9S9yahqXM98Y6cEM1hiHAEc9VotmvWalx/xFX921poQPwnClJf4JYMkL9rsyuQiSlqiYTBQ0EtPHSTPyMRMGCTtysAYibmpdkw26sqHzRgmVPe8TyMApGuMH2aR8BWFCzf4HKBE+2GWSXaFyq/SySMq1zXSVR2RW9YxeR/xgaOOkJiNoVK+xHW4frQLvOnDUyUa9VbMTC3EVGc+Wo1J8SsgMcK3h2R8yrhjRoItoDe3NmxsAlCyTQJ4kL9qT32N2RzPHjGzQD0oDvIDDBhU6IjMK+ofLNHCY+xhrOFrXmIHoDwy0FwK0YY+s0QspfPMhQx56gFB2HATbQxgZgp4GX9T6IdZHqqG9ymq1LHkUZGxx+YRfPtnQ2Bova9zqk73DSzUdm659bZ45tnzsSMDHdBWUVtkE4KKeAXEuv/oaENT9GivVJKXG+4Ifune448/Fg899GB80zd/MyVwHWE4m1c716LySznBJ9cUyR5gpqh8CJa2RnunP8zPzcXmxoaXw7mvmI/8cO8OmxCInoWmscjjpB8kZW6tZiuuL18XPWY5VF/yzpvooo8sU0ajcettt8XF8+dd14DXdqsVr3nNa/xR3o9+5CPuL+y0ty0QBsBh8wPeVzzqM3sey9joAznBAX2fWRca996u8mnOxMmb7oxXveEr4iu//p3xtm/9+/Gmt/0P8fq3vDPued1Xxtlb7orb73xlvOa1r4tXvfaNccNNt6h9NiQHPiJci0Zt0m2Urc+vX7ui8veiVW1EZaQSB+Kl12O5ImAMAJDtyTIGG4oP+rSdx9Civ6kP5sxN9hP6aum57zbJPV0z88p4NFBdbEvu+YCpGCuoULVJH5Cryg4gyQ+v5sMAdtFkl0IDHGiKnkGT7pV9n+aCd1tTPZMGh4z9rhDv+UBXeRHGHYMzFY28ldL50feos4yvvj1e1bijPliVbCwfZmzZfEHnJXhSex9x/wTg0f6K8rs85EUY1yqDeC75Jx/nRxrxzTboQzd0Qzd0Q/fFjpH0JTveJfISOSn8fbbQtuGQQAgf+wPpudwsYZ8NEwR2WGLHmn6UM+AFI7sEFQlmeNKJ4kZRppJEGTH2l0eUJ+dpuKahR1S/pCsNZEUoh1HkGSAp7mp1JqrjszImZmRstKWQ2lI807o/LUNmRgb6rMKmpFTa8iwzQyGj4ERX9LyMjKuCfvojI9h5yucMD+BPCvkF/GdSjLH0GEvMdDF7keXJJ7upyF9oYGdeno1CyRZ58yS2nEGygWf5HdEnLD35p+IsWFSapIFLo710mYZ7VrhW8ClHfuVSOqfhhpMqLqfccz2kMcJMEbN8ZZkwRM27ytGRgTbFh0AFkGoyMGoyKmqSeVWGALsxYXQol+TVbJaZOUM5DBLAXhqvLMVB2vbkQUKcRAhLgOmZyXp0OjyZpU3wxFfGYIWZIUBRAYYARopPvWN8A1yxI7F/DHqL7FXUQ1lQfhskOpZ1VXqucSkbxYWGwpysDC8v5KDD8i62T56bOR5TkzOSUVNgAgPOEUQ3DUBmK7a6XQEIjEAZvgIFbAHNUjiWcPHxWBt5SmbWdSKunI+uzK9n1ySkrB8Z5qojSgL44L0VDEAMaIyyXIJJ/izZY6leLs8C/DBD5Kf29D/KhxGJIJVptuU0iqv1TvQG+9HfkaGsdBu9nZifEQCsKE8xCVjGcNuRIc22zux0Rje45aab/S4MMyc2VJGbOIcX8sSxKQFloCyAqvLdE3hlBmeg/Cj3r/3ar8Vb3/q1sbCwoPIADoqlcYpLfOgyq4Qr65d8OK1KpgYy5KUjwHR2diZnL523eNG9A10zJgF0U9b8L2Y2fNwzqAHAtJrtTCdHvyJPrgB12ZbVHpG7xtbXv/a1ce9n7jU/1DUG/Ld/x7fHr73//d69j5yajabaAN/KKfqP+MmxDANfoFT5kgH9EyP89Nlz8c5v+IZ43z/5wfjB73lffN1XvC3m54/H0vXVeOC+B+OvP/aJ+KPf+5348J99KD7yF38m/6fx15/6ePzNp/82PvXpT8eDD30+VpaXPR7xftZGrxvXl65J7tv+UO2x+dMCUDPeqKFRn4zJzkxMq84bzabBuN9DtHRS3qU3z/TBCTzn6pv2ulecY/wzu+RdRemo0HLbo91R9qy7kja1S3vi3Z4cQ8gZudC2WaoG6AAcAdygl0DCD4YAGN50oehTpGSTBNHivSB2jaywxbnA4cSYjqN5ze5zBwfjkrfo6ZjfhBOffidJ+SpP/Ih98sBmDv4YrGeKKg730jrxwX1vtqDy0CfdRwuZ4VJ2xMv6Tt6Lvqx7HPMefAzd0A3d0A3dF7qXZXQ8YKOF3Z6Mg16MCixFAYYOdD4q4DQyIqAUAxkvvCeAAZFLUHIsR3HZXNA1RiaGFeaV7jMzgXX7RT6NLxPQAJ/LBJSiMO6Uia5TSfgoBTFeaUl5Tcb4aNtKS+rhaOtTKaAJ1nqj1CZkiI53dN60zxdipVDEC7rETxE5kr/cIUiQO1RQvi+OAEi+B7ASzzKmRqWZZbJwU7eQgY6KY4PScbN8DrFRmSAH52MRl/S4cmlXAQuKYIwA0qcvXZJRLMnHoAp56X4JXAxkCMO4K9J5JkDnKFNA5pFSVbgIYgCn0lWQ+CDvXPZIapImfS97K+giv4W56ZhtNwSMVAeikbMX41FVfQAEPIOEMSKljoJHWi6X6SLnI2Ak6SoMf+TcPuCRPAXEWbbUbI7F1DTGt2LL9qV98TQ6l87le0bsVqesVdacNSqX2GXdquYQt+ssC5jguahDA40j53qSo414dknMZ10q3DQ4T5f3KCvL+yrR6kx6G++ODMkq4Ehgh6fHNtDEvGInQJEBChnqpi5gYWPTxhPtOg3zsi79PgUGoORZ8lEaTVmH1KfCC+/3GiSs8Up6gyPFc4akFl3q9IUenjjSjOEVwAZIgx8bkJVx1UPDYK4r4LPa3ZbcWwLFqpTdLQHmhme5mOEAPMAfIKTFR0t7/Xjm2adVlwIzzi/zZ2aJndgAVBSVMAMj+JDjSDiyRRKc85HTD37wj+K7vvu7XaYUR8qJSJStJuBAuOtGP3iCH3hlVog2zRN8wMjp06dieXXVPCFngyzFJ+9cipd9DR54V8zZKB8/MFAa73Sndsp96sG8mp2UtdtFoxHL65tx2203x8OPPByVaiX6ov2Wt3xtPPbIY/HoY4+bL9oAMyd8rJaZE9ofYIn6gx+kwrs9C2fOxT/4ru+Kf/Ev/1W8853fGBvr/fiD3/uj+Onf+KX4z7/7/vjrT34knnzyEcm1K/BzLbq9DTESsa26U2lSNqK3s9OPra01v8/E7CHLCldXl6Lf3fTOdseOnYszp2+Pc+fujBMnborp6QUBwknxWXMboROrxC6r26W822IhBy+jAxBTT4Ag9U0vq1SScoMDcA4zR55ZYUykDRcOMRqo2xFOfVfUjpRolHd7qjrSNwAajHE60nd0vk+d0w4V9kLAwdiUfYk2KhCDRqF9s5ECHhrWKTzsqfncu+HxrhH5C2R5RzyldXqAkjxjmUERtNE97nOlLwCS7qGzKp5Z4ppxSGWhdMivOHJK3SNDgDJjFdeZJseaMt3QDd3QDd3Q/V1Xao2X5Jg12t3ry3hkW1sBJXzoGpBkcCRAxEyJjEIMBZ6csswHZerNFhQ7jbg0KXkPiaVMJYBgpGdbZuu2YtC3AiiOtpIxknja6hkVDDTSo/ekaLyOuy6Fwha0PNmrRY3vxIzKWB6pySjPGQuZ5QZP4+NSaKMCR2PsDCYjSQrRyxOsdKXC0KtWStBHAaUyste59XMBqBL0kSzLCDChXNBJCygNjfIcn7NGRbgcJk0qvpJGGoCegTOA0kFHaJtOmV4+bYWCR3kMN88SKL1zk5x8XoAjgxuuoaG4aaCooKIBD6WiTdmnjOGQc4crAOPFy2CKNMjIy0x0zkzN8dl2tGXMAzzL3eI8UyPFDX2WSjmvwhih0gt2TMd8U0yF+0kuRpbpZx44y8kzeMhRBqLAT2eG7a8BPRg6gLJRtQMZu8qXpXZ+z0b3zMsEBkpR1oIu1agznZMddGmvYgw5qCyAJ/Ij7xLc+h0WuXJ2gPuUB4OKc+qGsuCYsajXGzE9NR+zMiKbfNOozgwnxlFVnnfkaqI5IqN1J9hKGhoYxN5lTkDEs0cyPBPw0A5THjjKkGVJ44h72e9yNsMJ5H1PcVSrNkAxrFnKZYdc1XcBOCUYIi3neGYQWG5X7mIH2OF7RKsr67G0eN2GtEi7PpAMG0SMV8bi+vXnZUwLdKhsWz2MbKWXzKbbLbWVuuX73OULiI5U8pyIP7UPb4MsX25X7XLYqb3Tvgv58u5PeY4M/uzP/1zA5rSM9hO6prdQPOo0x6mse9petnOWdzUaNb9TBPjAMS41Wk1vUb693Y92W/Wl+kAm1D3Hbd7XkZyYobKRL/nyMVR4YwaO8NW1VcVNsEeeHsOysK4n2ur8sRMxOzcXi5Ij24MPBKqYgeGDsR/4wAfMP7S2ulueebITLeQISOPDtRjcb37zV8T//D//L/Ft3/bd8dhjz8RP/MRPxs/+7P8Z937mk7GyynefNqOiPOGB9rm1zvLNrvmjPulX8LghwOrdApXn1atX48LF54PvO9GOT584G/fc9bq49dwdUa82/R7T1auXFee85DoekwL/gAfLQTJiQx2+r+XZDtFGRrRDXmoEAB0tcyvHshybkFG2a0XVP93SGA6AKepT97O/F2OE+1Fd9Sbww7ghMMKW2hN8bFVxvPmI+5vGA+mNBDqE5fJS8iQv+qBahM7ZihtQJoAPPbVNypAAB0CT7ZOHGzwkAFAf9b9sX3ld8PeCI1u3uxWYHmXniC5KkGRZFfT0T/fS02wUXZ7xGpko3D/yS1Dk8YGIRX8YuqEbuqEbur/r0DAv2fHNE97B2T8Y6EqgCHB0wLc9AEBcs4vVjoZjlHZhfHtkxsjU/0OrJQ1L3yvOUcbc5amxdyrCgNGxdDbSMNC2j8ARxp0ViYijjCsVgSEUoJ/a8SSvppKzZAGf0wkoGhSQn84pDCCVSybq8vmysddzo6ys1FIB5REFpxM51DKzRSzL8vJAv0OF0cO5jlLsNjAwPxUPz4vjlNlGNeGKY8PbJS/koHLZGPWRciJvldnyOpIhupLULjsKGDrITPEAVEcgKj2yk3AP6R/WRWbtOJRXxFRQyoSSlapV+QBBpQwcpigSt8O9Rt9KmhkYFHtEQ4bwienpmGkKIFWq0ahWo1WrRrNaiTozFChuGaGIEt4Py4BShzgsu7hkmHmat8LZUJBzG3FEHXWgTibb1ag3qE/REo+jvEskI91HgTaxaFrMXHlTAjGBhwfyMmhERgBI8eFsaYc6WgbKw7wQrnPLsuDFgLT4JVBy4oIOS2QEyiSHerMRMzOzMS/jsd0CHLVkqFYF4BL8lEa2t83GqBTTfBSSNs6T+HyfA6NOxplk6fKTiVxp2OHzHrwB3HLWh1iAgkxjoblc9AlcObvI+zUJhI7AEZ4w01Fa8mIbcMAasyutViNm5ye9DK3RmIoJGcy5S6KM/tm5uLh4Ndb5XtLIhLfuhi+AklkXwx2BDjafoEaRn0GY8gQM4amj7OvMNGaZstwp59Ij62wb6fsCLr/9278V/+Dv/wPLkiQZR7JQWQAgzWZLaYs2L37pP4w/A4PTEW/DvbqyGs8+9UycO30mbr/jLoHVumRRjEVKw2wOG1PwjhXO9HWPk9zQ4cAzPeUGCqSDNue4rAeBiqmpeO1rXxsf/djHXX7cN3/zN8dff+pTcfnKFaejDssZAq5dbxpvMNbf9nVvj//j//Nj8frXfUX86vt/Nf73f/O/xic/8Zexsb4ifgGlAy9DzFFaXmLjuKVwlh6yqxy5wjvL6NicwnmKl6mpyThz9ly0VFd8xJZjpdrQfYF5yYg88PQt3kNbXFo0n3Oz82r3bb9PQ13Thz3GyFOfXj6mNBnGmJJyyXEn64q6pAf6u1fF2KM/ndOPGTu4K/Ia44UQ/cDscCkd9Nn0QXl4h7wC1BjkiB48+OOqzADxsExtlFkgZnmCc+kUgJEBE+NPUQbScYQWs6j58AcwRt1wL4GQIrhuAVScE6Yiwa29wZFO83tI0Jcc4A966Czdp7+7fTJGE9njkkZ+yQVa1CFHZIVDXm5j3Pd4NHRDN3RDN3Rf6FIDv0S3t4/BVuxOJ0DEO0nesht/uHQOZSZjqtiYIcEBqT10F4M64EBGgoxWmUG61i0P9BrMURI6ioLT+4OoGEkYF7soaYyDMh7JUBhSTlKCoyEgdICC4gVY1oPXFYGX3Fm/j6/qmk0Z8kicCfyowBFx+fqHFBg04ZVj6XFW1vIsy/JsifUUxo6OUk+jKnfOKFFWmxjyCZAOjVBumTY+75WAyj+VHcVGnDTwyut00Dm6VyhAwkuwonM+dMqTWlCD1KxYUF4mqaPP0/u6CBNJG0pEs8Ekb0MFRQ1R38Gng19f617KRVc6jldGYnamE7OTk9FptWR4VgUCZEi16tGQr9RkRFQxWgAwGApqL1AiP87FD8ZA6SiRs5d7oRzyPOVjg15tpd6ciGa7ZsCDqAGtY+yIqKN3RpTnRW/ecxgRgFJG4tsSsocOswa87C2pKASeHM3edWVukXl5rivVgTjxkTbMj4Ql58jQ7xHI0GkISEx3ZmJqcjYak1OSTyea9XbUayw/q6u+ZCC5refGATiMMIxFv1QugwkQhee8bAP0Ec7LNMTnHJlybkNORz95hlvx6dk1GXW5WUYuEzMQUt6e8ShAkstX5GOwUhzLMN5N6na3PNuy3dcYoXT9fi/W2XFvR73gYMy7uW3vHMTq1l48f3U1NnXjIMYk7/3oDnZjdWMr1rZ6NqB5up/tTqOK+rvBous488XZoFXcsm/iyvKX5S7DcPfde18cP3487rjjDpfbRq3kQXnX1lZjbm4u27DqmHzI1456VLyKQOD8iYV4+PHH4oQA0h133aWyKy/FzY09lJ88/AFSkEnJx9HsYpYhz+n71I3oZ1I5Now4iJMLCzHbmY6HHnzIcefm5uPNb35z/N7v/Z7iZflwR/Wj9i06d955Z/ybf/O/xxve8Kb4qZ/6D/HvfvzH4oknHnO7hj5xKS/pmBECqDHr4W3jtwF3+7HZ7cWWgM1WTyBKdbNNGdUmabuA4CnxVZmoeee8msA+4zMf7OXhU6c9E8dmT8RNZ24V+F8w2Oj1tuLK1cuxtr4hGTZj/vgJHdXOaY8IXLLF5/s4CkOWlknWX+lSRpIXI5qOKYOUL/eoU2j6IYIfiHHkARgzSWpPusfDMUWIA/JwndEf8NRDPhRjOZ0YEGUAkfSEdMKBPA/aCKeOiOudIQV+Mn94Vf5+uEY5BMbkJ8ZzZoqHBMxSISM8uwAyMqsFiHbhRIJvy1EYP/SDvulQjuQRXhM0pgzKdNQQ7Ym2Rb/22Ey4ZOS+WoQP3dAN3dAN3Rc7RvaX7JiZwPMStjcRKAZmz/74u0XbGpzxnCc4ysEZRZZKrBzXzZAHcx0xPIuB3sHF4C5Y5Px293KjB2ihIj3LIJd55xKTXB/OunCUUkWUUHRSNAq3kgQQsdRuTMqZo4xRngx6qR1ryYt4KCGWCJYKqDyWwAQQAr+wYJDD0eGptFRiBWD85P0sG0YNQErco8gLWjjiUW6uSqWPS4WWPo2iIwV3xFMqS9JZXsiI+lHdsL0yL5LnjIgMqHI2y/TSwMiZEuUngdsgLZoJ90pDNHnTfWaRmPVxfuKB2JSn9LrPMpnpRj0WZmX812vREBCqCRDVK+OeOWrIdxo1e5aKjbPmn+/i8ES3kB8/DLl08CkJwGvJjwy2si0ceZb9HUSrLYNC9AA/1AM4y/UgvjAwoMCSOr9/NEGZlKd9vrzPt4UwxjEY05DNPE1DdUodZD0Qjlyybfuq4A9eMK51cJgNG9HHSKrLQGy2pwQUp3TeiXq1JRkJGE2oTcqwwmDdk+HK5iO4UiaUkWV2GLc8Ac8lPfKijSuNXnsAnoxzzglHlvaSmcRpegAL3gvBA5C4xpXtqpSrCmBfXruMRZsnbz/xp22qp9JHB71e7G4PYkdG8c7OIDb7AjYyLllKR9kGMrjX+/ux1t3zd44ogypEgLkeu8p7U2l56Z9ZZOqFpXQcMRyRSEpF/BXtGvfC9l+68jzbEwEJJn7/D34/3vve96i8zAhkn+W4srwYc7MzxbXFpGD9l2eWeley73U3FW9JRu+4wRTvV9YblWg1G5JHvq8EsFwQCOOdKvI+efKkeWEmLHlkDDwCosQp2xSAl5lBPjZ75923xYMP3h/r62tm5h3vfEd84pOfjPWNDdMoXVlfrU4n3vXud8e73/2e+M3f/O34t//2x+LZ80+Lf+WhIpGENklaeMXBD6CTb2kNBrmpBRtwUCfsBEgT1G3xSv8j/qg3XFg4flKgvilZsQsedcADB9UhM5ryjcakAFAjdlSmpdVFzyo1G3xigXbQ9dbkPEDz7I/6PTM7E1WNwRobSt5wrruifLg8z/qij+FeWM8JjgQqWCIHMBlFH2i8Ioxz8esdPKUb0AsJkGn3tB/VA81dnrYHgEGXoCdYlpf54uAJUE2dSp6WbIaV9EpQQ38HVDLL6LpVu/HMuXhNXUEeypdiyWdRdKJwApFvvodIuXS0V5pDGRUyoF4L737B2KlzXZgoMqK90T+HbuiGbuiG7ovdkeZ5CS6fgPLkV0YcBqNBkMZ0QICf0GsQHuWr7nsCHRjjjPcCEzJeNdrLJ7DAe/kciaUMUvnJ8DIQyAGdMJQGSsiGKP+5p1/5FNa6RHG87OFAikkKbU8G2b7AjkxS0WC2iBdmpay8bALDBQCFQSqlNdaQ0kpAlS/SKpWvxZONa6lYFLkUky5EC69TKSvKY6MbZQ3/+gNYudBmDgOdsgGMdEn5uY+xrlMbtzpn1sXLKpxGxbAxr/JxX6G5vE2XkmEu4SMm5ec8E6X85J0/Cl7K0flmXEghP04sKgkt0xROp15ihoWgeGW5UcYoc3iEVxygo9xu18pax3L2qiXwcXJG4EjGQY3d4hTOOxUAEpa88R4SsxXNmsCTdzADlLKkJY0j+LLRo780yLMsGFT2krUNSv24TzwVU+wfRLU+5tkjbG7YNb86GtjQZpS+nN3xblGKyLbDI+JzZ3s3rq4sy0DnO16lMZttG7kgD/8I0J+BpfpCadymQQJP9I9M7w9hKmfS8Q2TMYHCersTrda0+JyRYT0TtdGGiPGh093oASy8Tb7qjjrTf4za/qDv2ZldxSF/vzshebkiKGfhyJvlU/ltIpVjd1tAT33VZUl+vWRNdKBLH3I/04+aLcEY7hCsUr9yNrCcDhoqM81ELsu5F1tb3VhbXfU2z5cvPOcX/fcEkPwB14mm2/e1zU0bjBJ19PUPObN8COC3srmu+iHv7Av+jk9hBANYsy3ktY/izeV6QXjJO45zwukOGNPcIdb9998fY2p/X/M1b1UcjV66hyF75crVmDt2TAll5BZ0aCvMjiABjzsqC1tp33jjTWq79Xj+/PMxPzsfp86c8fKxhWPHneddt9+hFCNRk9F/7uwZt0WWg9E+MHTnZmd9v+SRc48xyoh6mpqZitMnT8THPvYR18Pk5FS8+Y1vjj/70z/VfdoG5cMnn7ffeUf86//t/y0AN4gf/dEfjQce+IzKXNS72x9x6dPUKzNyCf6RqfuQYrAjoGfolGago9ssgEKJnIvS7+7SDtdjaflqrG8JAKteLGMGRNqT2h1bjueMzZi3pEe2x46diKnJaQG/XIY5NTUdjdZktDi2J/0uHptQANKz3cGR5GLZpHMeah8saQ42XCBG0V7gkTEqZ6ShwzuoAiWM46KZM+G6JxqUxhIXYNqXhqD1s4OcasbtD7y3u69xaJ+ZWTa6UOID9IhkIX0CSxZZsTMdM2vuCwAq6Q948k95AdCOZpBy9QLLvMulfYyXAKZ8Hyv5d50pA9eVvKIqLnlBU9k4Mx4bihEi6MB4Q58csPRc5zxMcL+Glscw+iugKdvO0A3d0A3d0P1dxyj7kh1GA0b6vr8FxE8D79i29APL7Bi88753F0KZaTD3bnXWaQz8GZbv62SYPUM+yn8EpSuadsTFtJXniV1h1KHMMVgweMufMrFhhU2FIhsdYVkdIKgmGjof4bsd7FbH5g18X6Yhz7El3nj3iFklXq5leRazSizTK2Y15P3kjjKJZ/ixEtd5emsuhSa/lgFLunxkGRPKDWCY4NDvV5EO5Sc7d2QceSkd960QkZdUts7HBCywgwEgtgdEM2VGPs62OIqmmMIjTZzBgGQEiOW8NJKTx5JPjDYUdPKYBhHGR0Gfn85dXv0OwRoe+1ygmDLCGh+/nO3UY1q+xk5xAlHeKEGR/SV3z9ykZ0lSozIuL5Aq4oiQPJIzygDYSAOO/I/O5QvD2QaiTrmkeXVYWlfFSIKXpGdzSEec0+rIOyM8LXc70m9DRu+FK4ux0VW47vkdOPmUCaUWiczSzrw4jgJ1ZCaVOnEd4HWf2ZpypzvaDzMKzXozWu2paDcFkqotGUc8oZZxpgrDsMxZoAKEyPMtI4ARMzGWisuE/JMvnkQX3ClfypfeT6blObfBJH4w9BNA5dI5ZpgMxBw/eaTdZF2nwGy0mQ79L+nkzA19VNfwySwVPOsIv9AHSPTE9+rqYnRlJK9ubMS4APFWX+OEBoLDd4qU+WCn776FkVcCIRgnT2TAsXTmg/vFOXeggyt5xr3w3IVTzIyv/MTjB377t+IH3vW9Ua+1dRuae3H50qU4c+pUUc6jfKBV1jXHqalOLByfi4lKzkB87VveGp1Wx++T3XjDDf4+EDNMjAs8ROh0OqaXbXpE6QWK1Q6ow9J5CRUGu+LxLtSrXvnK2Fxbj6efeVr5Rrz9HW+P+z57XywtLjo+vMAXnneNfuiHfjh++Zd+OX791/8vL2fDwT+SMdh7gTheKD/H0dE7BRZgh/E1AZRGdmSB1CzCJLK+thZPPfFYbG1uqd5yuai3GJehDzj35jkap8diIk4eOxN33XZP3HjuVsn2xjh7Vscbbo9jJ26M6dmFaKgf8D4eG10kCCjrOvOi7JadjyXf5XkBAtzWE2gwZnsZq4FdzkzxHhEPYPy+IQ9hHJ8ZPOWnQRgaykLkGEF4N43ZIdHeE2DaY6tutX/lpV6nuIrIwC2AljNOCiPuPuBJtBVOPPVMHw3axEt+8whAlP0Sl4Ao9QuO8eWF41rGo+z0AcZw6oqxhrGBo+qJhw86HkjurBbg+4PMdDKLibPsKB9jGn1Ux6EbuqEbuqH7Ypcj8Ut1ABsZ7xj73m0OfSF9dqDw0bEdKaUdGfm5zE6mqI4AIZ5i8fKw0pEWg//QIEfJaeAWMLIH7GBsKq1UgM5RGvLkgZqQkkBtS6XrnF2WeKoOX/JiZlRKamykImUig0Pes0kHzCIBmASWSsAEeJJnuYWXYKBY5VOxsZRBUVU2gIlngXSe/Kbh4yVbXJNCgdJ1yhcTSHJweZCH7pNOcSlHLvPK8uW9nB1yWsnGM2145KNwf6NHxr4BGLzII4XkI2XCEcWJQ2li5NijZEmgP9eT4hDPskKeVrgoX90zLcLIK2n6Q7aEiRbGCzQz74wD6bJs9iovu9ZNTzZ0DIEg0ajoWBE4qsh8EHBhgwLvFsfsk2gC/gBnlMMGM/zDwzgvbPOU1cweOgwIb5zAeWGwwZcoRK05Hq1JdqhSXpKXt1rXkdjZPl1i/zAIt2XkD/YGsbSxFBcvX431Hu/VKQbVA0MmjuefXArOzgYMR2Qng0WMZzzlWcqf6LRViDDjUwccNaaiKaO8VhFQL5bt+Km18vVyOBk2GKWc870djPlyKaFKZDrecU/CZzOMI4OrAEj6wRtGFPUKQMNAggbGq8ORsfJwk1J6jDS3E6i4co/AMYaVgZT4wfDatyGGASygZUM4AVd6yUH5u1+7cYzbkGMjgJ5o9HUUd9FXGh5kHM5YIDvlWRqLbG7QagIg4A3goM5QlC+P2U58Bb9yyS+ANsNK/svzo7Em6+W+ez+rutmLt77t7a4jwvj4rvui34kraRZVSz3piMG5vr4hYMV7iwIHrVYcP3kypmZnNY6MxV13vyJOnzojcNj3O0PU+WRn2mUr+WbmIN9NSv4oJ566gQ/KzLePPv7Rj0Z3qxtN5fEVX/GV8cEP/rHp4IgHnW//9m+Pt731rfGvf/RH4+FHHnI/TFrEwVBXRCJ/gSvlVjoA0WH/0/EwrRzXKQuOkoHi9rc24/nnnomlpWW3g9zBsO82RipA4tkzN8W5M7fE8WMno92eisp4zemZVWKXvMGgF32O7I6nds7Svmyj1MdR3mX7zrok0LfctjKAu8gQUMoYznjOuz70D2ZueOglADfK0ulcPRAsneMo/QCwSVCk8qsvHgB+BHjwgKScRWKmiX7CskxAFnpC4MkzTXjiwQNtuJgdkk4p2zRjHUf6rDeSKMI5lm3AJaa8xZH2gKfA5bnHE7VhLynnmhlqASMefrCRiOui8O6Tvp/jCTPKg34f6kM3dEM3dEP3BS6toJfo8skxa5kx2gROxgAogKaBbKJtDfYD+W0ZEAmO/u6yMAZ8AJMOhEmhGwwxayTAA6jQ8G/vl+ox7A/jy/sOP/EAgFIcDB0vJ9M9JVA+KBsiM40gI5RZo4m2FGRdKo4ldhhApWfpBE/xdc/L7qT8UGg2sHUbw78AMgY1IouXGhU9GVNFXOtzlJbjZHkdT+EcvfTDSlLXBj4oRe6n4gdgld/hIV6+iK9zGftsJuD3fkplWsSBtsERstL/8uliqUhtLJs3ecoD4FGmpbFDGVJJi3bBp71o5iyR4lAeiSmNJOoEEfuffOmKMih+vc4X+2V4SPQxvm+AB3BmBzmJ1uVJOaRBXH7Bnmq2MS5F7uVpBe/5wUiMwsw/y8wlvJG1hShZjcTkTCsmatAUL4rv9xt0jzrCmX+Fs+RsIEPMIAmAtLIuQxTZiQ/oYpzIsFDULLdS2TDROYE2zot7OBv4Dk/Zp8t4XkIjQ5odvqq1lt83qrFRiFqiJCu6IwUYwkhkWdyujWeDJdODNkVUGzBYoL2m7NwG8qbjkCdlZPkrT5J3dpnNkdEkQwnj1zUulkvZ80SdLc8nhGbToFMe7mjpAEO77DYnQ5ZZDeikwYpcVZ+HbSnbN8unJjuTBgaz88fkF2Lh1LmYEXgAdPTZuEHFYWkdYIL3ilhGt7OTIAqDF/BG+QeKmzNrRfndn8mPvASCK3XxzIMP8i/aeCEHn/ssz194pL1T/q2Nzfi93/+j+Pv/8Fu89It+xPbka+trcewYW1KnPCgf9UDZScusCnXFx3zZLZM4k+1OnFg4YVDAS/Wvfs3roqsy8L4LGxk0Gy1v7mCZC/yxxfzS0qLyzDbEMjzaKTxS3+ykxyYS/+0vPqz7+96m+5HPf97bptMO/Y2qSiV+4Ad+IO648874//7Y/xErK4tKmw+KkGOWF5/1Yyk5LGXAeelxWY9qHxI3G91w7jbjcNJK/jpHspxfvXIlHnzg0+aJ+kKmLJHj+1WTk5MCkA31Iep2N9Y312Lx+rVYXlmKq9cuxbWrz8Xi4kXxfF1tYtOzHyPqB8kP9ZN5lc6AXtfIhmC4gDc4px1yD74YC1i+xjul5UdgAeIaHXSewOhAwGj/wIOTCDGuMEOUD8UAwfRLzwwJ7ACC1NoS/NhnmDdlcLyMzwyV+yf9QSksU9PIsYPldLpUOOmVQu0Cvl0P/Ip6IBnOR7VH6x6LIscjHnIARDkyg7ur/s2OsvT1beljlvMib5YK80CjTMP7iPacW28P3dAN3dAN3Re6I+vnJbhc244RCwCS4TAykOLflhFUgCQBJixeg6Xxgc7znmdINPBjcOeMktSHlIAN90I7cJA60BFlCECSkQhQEuA4BExefifPTAyAizDuARSsWFBUUlBSZgeAI16ylSJjacSBlRnGVXrvaieAtLfPU0SUnZSWDBkYQcGWy8lETopNRjf8Q133lYP4RgVKEZoHmNe5lJfffUHBmR+iJHCCFmmSJkc4TTBFOOvNx5l5MZjAGCzSiI9DWvIcMUpGDTyP5JVbgSMf6BPOUZ6lGxgS0LAv0lMOHS03DqZLforv/JBjls/1JCDCMkPCiJv5klaGm+I2ajK6BZLMo0Bd+T5WxiEt5ZNxgIwVf6LCN4nGYiAlzzdVMJQNRmwYZ32qGiQLwBJEy3xzloS4nLfbtZjq1KI+zpPhNERKg8Q1RL3oBCOLGRobvXv92Fhfj82VvowJlQ0gbsaVFoNN6ZTSdeczHUlvL+PPHqOtCON+5iMelZ5lVlUZxDWM5Fo7WgLp9QmWX8mwHq0qTW4bvbUlANLv29DE84ReVMw3bRFZ8W4GIATvD7GKLhVFHIxFzwCYL4wpZoyyjPBPuWkbBotqVLyTwUYA1bpAm4xz3gfLJVIYioorGswGAV68DbTAAQZWmYeBlPJOGePJJWepeJeIWSE1hqg0G1HrTEVnWmBC/PKdF2TPzmn9Yrc0PgBLa82wTMumDL2dnmnVBS7ufsU98Q+/7TviR/7HfxX/07/6X+KHf/hfxQ/9s38Z/+Jf/D/jX/7L/1f80D//f8Q7vv5b49Zb79A4VNZ/thHqhHYLiDWvysv1qmr+2Mc+prKMGIAwe0ApFq9fjxMnjhPD9eq6VDhp2bQD32634vjC8djqbsatt9/qpWmnTpyKG87dFPVmM0YEFGaOLURNIGGiMRGz0x2/h3RCceYFHq8LLLC7H7LELQhcIVM/6FHQjbfcFItL1+KZZ551Pb3lLV8Vf/KhPzHf9FmA1w+8690xNzsXP/HvftxtJ+tYbcFtkjrP/pMyyDZJCf974MjLxuTcftW/djV+ZdtJGeK4l9KjvbEMtRf9zXW15RGBIWZtE2hXVXbKwozQ8tL1WFlcjF2BXQzz5Y0lg6Tu1qbbAZKlDefGCZlX+c5Tgg3GGeXtbPknUKJ7GhHED7NklI100GBsp8Q5hlP8UWaHAEN+CCbAJO/ZIXs1AOiJVr43pHR+qgMj3FdcASfH4/0j6QdoHWiccJwCHMEX4jOY1C14R9aK4HPGE/PImXhMnTKu7iHAJv4PN2tQCtJwQk0piOFRaalP6oOHFTykGPjBBTPNBks6etYNMMRRDSg9S+pIsx0HjCn0S9XJzmAIkIZu6IZu6P57Dq3wkh2zI0zrH+zz5FCGl0DSwcG2xnaesuYSOwDR+Pi+lCazCFIWisNW4Al0uEabSBFwQJlYoaDIAU5Sxp6BQdGkot/37ngofAweFAh5MbOkozeFyJknnJ8AFooOYJQKlOtCMbHUDpA02pCyaskAb8Se4vq9E9alW10pndIkgED5iQdRtRKGT8UwEAEYoIPhDX4pG2CGp/s6AnIMjGRIHJYbI4eyKyuxZgNONkWWawx6RTqDlCxzGT9BESc6UiSHwTLcYWqmUad/LgXpUMAYLeSdeelaBqwVODyZdh4pg+kW4aZH2co4pp/glo0kKBNbaMMvZajXJ2JCfDPpg1wIQw5QUaKUG/+VlnKygcMGO4NtrAVba8M7Cj4NOv24ltGnpPLwT2HldJ1PcEdliI7GzFwzKtWcHSiBEWVGFJzj0nCh3qDL+zI9GXEbIdtBzoX2fTjkNI3MTHdkeJBWMWSAcO13AUzvyCuF8xxXe2NZUVWgiI9nVnjHzUaaoNjuQQx6g9ja7EafpXSAIxk0GNu8JI+kWU7nbbwnqjJA0/OiN7tz2ZAkJ7HoZYfiJZfR7PhjnHs8RdZxm1mp7YENKcTOBglsr1xvtrx0i+/X1Oq80M47EsiNaJQzZ01cZvpFis4giTIyIzSBMTxB41cip+OnqpWviu92e9JbYd980x0y5o+ZX+qe9AAwto7mWzsD5bPDuTyzS5J+nDt3c3znd/5AvPu9Pxh33/3KeOLJJ+O3fvPX4pd/6efi53/+P8TP/fxPxP/v538y/vMv/3z87u/9dqyuLcVXvPmr/UHU7/yu74nTZ866ndMe4Iy2AHPUCzxi0C9eux6f+dtPe+vsTmdS98bi/HPPx7kbb1I9MK6NCfAzS0Sd0f7zqT8bJgAoMUxZCths1uP4iYU4cep0PP/8+VgWyDp3+rTHDmaHmA2++aYb4+Ybb3RfLIEwYiOPYwsnNa4gtex/b3j96+LDH/4LvyP35V/+5fHcc88ZVHmZq2J913d+R8xMT8dP//RPK07/sE6gh2M8yH6Q11ROufkBHll4PCgiEDfbbTovXZOzrEw3xxzGNGLRPpFfBUCte2MCRnw8l9kjZpFoMwDAgbzreYf3/QbRHaiv7UlnMC7L866Q+6rrKftsyRP5JL85futKpZAv3vmhf6hGRKcYD4jHcjrRZCMeHkLkrqQC/vIj++PiW3EBOwY2Ajs6ui8qhHCu/RCtiLcnz+xSLrPTcbc8L9MjD/ohPzm1XwVYZodeP8pEX6Yc2R7TleeWLzKQzzaLLLJcyDL7IeAcoMSyOfVvzj1DBEhKIORrf4JD12o7fYXtqp15eSzLF1UPuQx26IZu6IZu6L7QFdrkpTlmkBiIOXpLb75/JGAEOAKseAbE7xrtGSDl7FEeue/3jaQ8UAbWA+gJG+ZSNBjhgBEpAJZmeeMCAILjAYg4zyV9zB4lmCJcRgJ6zUpWUdFhgAaenEvh+CN/UpwHLKeTwcNSmDG2XS2eeKKQUcC5hEnXytAf84M3eYMcyAAIpNiYSfJHCpUPM0tsRMDubHwYMRUccZVW/BtswLfi5kYMyEEHrnXPtKEjehhTABkbHocKM/O3bKxU4bb8n+CjXGboJUm6kYrZEZQWWvCVeZAXlnVpjJj+C/jBjE3+izwlR3YndPkBuMWsncNLvhS/IkOpLnliMwNWWEaYyxOpHwwr8Qi3yttKXgBzo9+Nq6sr3hgBYyBnY9LgR5k7TG0FXlNWyCgNDYnGdTAzk99Zwsi3IeyyZ9k4+sXnbBwycLgNmNiLzY1B9LrkIdquaMXHYyQhRvjwxiCSCDMzCit503/FzLLQluHRS8R0BDDRBvwl/UpDQKIhnnn/Ad4SHPW7PeXdi20Zkd66mye+lP2wrBix+f5EtaKyydBmeZY/pEnBcZIH7XtvF4N7YKO029uKza312Nra9HsegC/AEe8iUTYvq6tUBGT5fk0t6fKCPPJyGfYSaMmw8lNqXVPebD8s/eSpuuKpbjC62L7Z8QfqkyrblMDDwomTcYL3cqYm/S4Yy9U6jWbUlLasT1dJik6uMArl+fjo93//P4mv+eqvi/vuvTd+9mf+Q/z6r/9KPHD/p+P61cvRXQfQbtvgHqh862ursbh4Ne6996/jV37lF+Inf/LH49FHH4lv/MZvive8571x8uQZBCVPO8w6hh+AKFfMIlEvLIt71ateHTfddFt82T1fFm//uq/3Rgm33nprzM7OutwsHWR2bWZqKqYFqE6fPBWnVM5pgRXe9eDJPu1XzTNuuOF0nFiYj2Ozc6pXpZlfiJpA6domOxGq76jMtFeA1tRkW+2LhxsHqpN63HbrbfG3Am7UDeDtT/7kT803be/rv/7r46zA388IHG0LHNH+yDPbjKhKhvhsJ4CQXLabJaf/JzDC48r4hFMvWR/cyzhlPNeb8ueKtoLRjkzgPzdfmTDvjbrauwYAL0XsD5yGjUhqlZrAZjs6LXasEyBv1DT+AmhYCueBR+MPY5/amY6EwZfDzWNZAh1LHjWosEqAB18qmUIShOSOcywThJ7ALe8IAYb2mHWSLA50b195qt/T9ihz+RAgN15gNg8ANmGQVG7EQDjL8hhDVCzXBy7HhmJcoFHLIUscAM4zRDoCCuHb9cTReRGP8T/Libg5Jh3upS5MMJR9kdlclgnj/aDSbS/Hfs8cFSCKrfYB4j2NL34I4eW7tLOhG7qhG7qh+0JXWFYvzR0coJgxBmR4RV+Dugbog4GUEevuAUN7Mo5lVE1IiXKU/krAhKElJetzqQr0jThKYCTC6DydY/j52gpCDqDj5Xy6Nkg6SvNCAMVyJFJ4W2MZ8SzeAWSJWd2TwcCTd4EiG5o2HKTU/MHbbcXBckZ5Ec73K8S0lLJ1GvkWQCHBwK4AEt/wEEhSvgCjRo3v21Si5e/7NLwzG8tPmKk5oEzwrGvPLqHsKSPBpp90ec/I8cgXMFCUkWOCAiUDXEl+LrPKUNj9mOpW8sgM8rYnyKZI4yWIouNZMgxr5XdAOMsedU46wIvTK3E5Q2LZmSb8wReKPPmBfwAKu3kB7Co6AqR2+f6V6O6J7j4yxisvfpRb6jt21H62JfdlGfMbvXKJEPxhePAeTfrS0AA4UEb4gwcAKbNPnXZFhngzxsgbhuTgBSOLtMQt0/Lk20u4lAmGwvoqsyukUAmRSxZX+St+cY5B7O+L6Jrwo2vF4Uk7YYpoYKo8nCcU9c/L2QrAjcHI0rmdft/fCfKSukFfRgsPGiRr0ikRMzwYiWO8d0Ybpa2qzfojrngZn36qTm6FwYRxvr0N0BJIGvRkQG1HX8ZzXwaSDXfF8XsPatO8z4VRy8c9WQ5lUIkBqrwBUTyNhi9epGcGIJf8ZXnTUFWDksMAK1+039zciPWNtVgV0F1cvB6XL1+KCxcu+vs9m/IXn39WYHBTdcaMWhrotCHniZDlmjKcv/Fb/2G8/evfGR/+8Ifj/b/6S/HEk5+Tkdd3W2YnPdJ4+3vao9IgY2QuQahZMWM9It578fDnHxRY+uX45Cc/Fd/z3d8T3/AN3yywAUilLjJPyox75JFHYmVlOY4fm435E6fjv/7X/xpPP/WUQVaj0YmvecvXxt13vSrm545ZbtTJ5NR0dASKOPLOFd/vqVUmBKSm4sabbvKSuXHl0xIQeMOb3qx6q8bJYwsGdBKmgT/Fnp2eM6DYBcC67Yz5m0nIr1ZrxT9+93ti8fpiXLxwwcW8W4Dtq77qq+M//tRPuW7UG/1jB7gSEJWgy+BI5aXNICjLWX+eHdI5IBGATJwSHJX1glw5dwL+kzbP6CqGIuNqk7Pzx6PV7FgmxKZtkB/vorUEiDvtSckd0NSK+enjcfr4Oc8kdgSi4ZkHKsxAlu2qBBymB0+u8wRvHD1uUv+0A6ICMBig5RVL4YxJ+PJBiGjQLV1+rnUPUMQ5eSEKefW6Ik6OOWzz7f7vJXysLBBvACMBJHCsZ43V9xKQFOdKm7Ou9GVGG1zKNL2zyFCl8ZLOItD3kSD3i3jUAw4+KFOOSQAftRXyggfyUQRfy5Ofx7EDgSn1471t+jJjQi7fpZ3tKGzohm7ohm7ovtilVfASHeCIXdpGDYx68lL80dNI3pOBx0zSQEoOILMvowyAJEUhHST9pTApBntmJDSY4zHeMdptoAMWUllIjeiH8SAFxF2UAPHkmX3YV/7Qyh/KnUy4j1HIsqKuFAofnEzAFDoy47W/DyAaSNPx7klP5WF5oO55RkR/GKCFPwCMyOinLPAKIAMokBWzMQCtaoXtY3O5WFUGYFMGylSrGdPyNTYZ4CGn7pXl4ogcSE+eAMhyVzxmiiwbX5NPGoa+pzy9/I5i6phlzdKjHIm/L3rIzeWlPJItIQZI8jmjg9elz5XSMhWJQoOXxhI0UcwGR9CQJ76fdha85E534l+Vy0YMoxNZN8g8y5L5UFfUy7bueetg5dGXkb0mw5nv/0AeY6C0xcpSeVYlrR2HwyPtBENgXKCIpXX1pmQ8kYZRegqV8TFeSGqAojCDJBkxW10BAGY9iKtKyehl+eEly845M0p5zT3C5BGH7tl4JC2H4j75YCiV4MTGDN8oGeQuUvYGHhj2JHaxJE9mjTAyJ6Ih8NKo1mR4y/iWkcluaHUZtACkEtAk7/Aj+vIcS9CBsWjDUvSoIBuaoo9hmwZ1zpzStuDP30zCmAK4AdrEGwYV/JMPcUv5EpZy2PPTbJ5u05YbbNIw2RZAOB5nz8kYnj8WzQabowi4CLwlLWb+VFdwTtlF+7bb74x/9L3fFxeeuxD/WcDm/Hm2tmYJLYZ4Gv4kQFLwQtmYXaEKiirTvaxDPOn0F88++1T83M/+jOX6Iz/8I3Hi+AkBLcx7i8QgAYPxs5/9bOzI+Dxz7gYvR1q8ftVA8uHHHo11vy+zHTffcnO88U1v9IYTvDu1JZBbFwiYnJrUsS6A11TbH412oxrH52bdn06cPOXNCpgpabda3gyCa7MsRm+7/Y44ffq0eR70NR7p5I47bot7778/brvtDoHJ8firv/pLlZmPwLbie7/7u+IXf+EX3HYNGPQDgCNX6p3lfp4VfAFg4h7O7UH0kE0JoMgPOjiOeZ51jIOv0hHEpWrd7Zsd0x57/NF44oknPKOXbUKemlAejWYtOpLNlIDkzMxcLMyfjLMnz8XJhVMGSZMCT7SNVmsqmgJZE2rjzOjnbJL4oM0B3uS9BM/j5/+fvT/7tiy78vOwdfvm3P7GjT4yIvsGCST6AlAggOrYyBRZpExqiJYom+osDXn4X5DlB4/hMfxmPVgSRUoUJZo2TQ6aEsski8UqolBVqCr0fSLbyIw+4vb33P76+37z7EgUwAE9VL7hrBsr9j57r72aueZac/7WXI35MG/64oPKZLX94kkBDO2Kp1ZCLMDO49QCNLivabGClEHf4G/bt+0Anu/iSdTGcTpKW3CnSfuOAjfHxuM97by+t/z0G8Sbtj9oO+WrL7Evs7101mj7pK5/t/4q05bDNKy3qovwPNeurgwXa1LSHYAz5KQbNiibA6RIxz5G6+6p0+voe/SuSxq6oRu6oRu6n3SDHvaP6VC0z0bojE8d3XWqCgou19ExFSUtPYIjLSwkCMAYm1SxpqNX9qFsZxqXCjvdulacmn7mc4WCIlZlGsETQaUA0CNwADJnrmUijdFJwkfxJi2NPVpqki++JT5Bghs5CH6OAUsCpbNTF0bvDjzAySvA7gyAN9rcTOIgcbhW1w0GzszvALhUHstnYwTTRGirGKacXDPljrACwjHC9FByBUlzMwp6y+d0vypnpqoBIrWoIe7yTJ0l219bS9IpugK/fYYfm+A3zwJQUpPEM6ClJY6ADShCWEuLAe2My/fSK+8G36VOELwKdZWejIB2Sj1ewct/CTvKd3rz65qj3FOWWg9W5fW5ZTTtY+guULI+rVXz5uBtBnDND3H3tXIotBH0pJJwpttNJYkC7TOuKhdGUko1Hv6aWxlvvUU32yjQ0CkRCYN/fLp8FBTLBGcRt4cp7u5YzlI+yFBddWq2XuILGFEi8mDeSnEqJ5/yf5Lyfb2LcmVgXJQ20nCajYBDxUgweJjdp0pR0Vo5OT5RQAjFdgblVaAxPTPbplG8XfQ/7bk6jwFN5dO4O9fRqZQmaWderDd40pF6wNXkNPFMuSnDNGlWXL73G6f3ZfcrwQ75c+pc1iz9iDOccXaKn3TVQuZ21yr/C/MLmWp2/vyFdvHyxbbG1XOBZsl7rGt+a1qDeMyx6zJ+4Rd+uX30o59of+fv/O32tT/8MvEe8T4cE6fyaF610mSzCry/jSe0IC55o6ZlAdJRqM1fWRNGsublH//j/6n9w3/4D9q/8+/+1faRj3+cduCghVaT01i1fv/LX26rKO3rAKMLl660H776QwDeNeJR0T0CtDybdqFi7EYM8qzrg64AbiyfoNC43LxhBvpeOA8guHipPfvc820SQCuIUhlePX+xffyTP9cWFgCNALCnnnoKcNBrm5ublLR4d4b4dneP2vb2Vtt5tN7euXmT52PtL/+bf6n9k1/7tXbrnZsGDS27NSlSU5roYyUzNsouHXQ+9974rbPaIKHC6PMt72o9j21swMfeJFwuiXfwIc1kpO3sbrb1R+5Ed5B4YrECmDmFbnllGR5YaxcuwA8A0/Nr8MS5C2154Vyb7y225aVz8Mxqdvibgi8nXGcnQHKTFa395NN2bV2lLr2SP8uQ/MlS0LQDD8kXXgAUyw+AqEAM7RZwY3ODVISpsLZFvwv/w8tOe9THig2tamCmfrv+yHORDg8JmziJ+8i20ACH/qb9080mnqzzsY2k1yBB+zMAim0rzwg/4Fl5JnUCL5oX7+V3y1fltFD2O1WPlRfTqzzb1u1PDog/U9KbaQiKlM32eW7Rf9QO950yS79zoB8CpKEbuqEbun+VG2iBfzx3BpBoAArXEwmQ3DAh1gmVbrppQUOEFs57FWiFr51/ZHDAi6N8XM9ck6TkUniUT2efEWQ68zPPbXAelNP3eC4gQxFX8LhxQpR84ixQ5m/FEgLEKX+AOPNnXs/wpwA6fQMYnQCQTrUmuXGEa6gI29zsYZzwADDP7/HsnmwVPQABBQT0KrZOf3KE3vLpq6yVF+gAkBEIGHZmdrwtzE2gLCmUAZEBS4M4ua9d3fxOwWjcpbAIuNA5CM+zCfLiNDvTG4TtaCstzKPAxO87Tw78L9dslNApntRNvuJ31i0pdKMASl+fCUb1vCNON8gQ+Oitpy4fWpAqLdKlTtBvSEfaR1S3/km/9Y/22hE0RwUnlzzl2f5xv+0d1cYERygdxMKH5GGQl8qi+eWZyj4KjzpClAr/yPfUNOBzRUVTBU/FT/4qZSneaPjeZzqVjIz84nd3UXD7NgaBVSleSXeggIQ4PlMlpG75QRjzlKh+wiXL+Wzwrd/hosSQ/2PK6PkkLqQuRZvCDPKpgu5GALMolTlEFoVRIFNT6+AZQEQtPH9vKpLfmU/LFEUZJSkjxcSbvEhRyuX6JbeZnpqchQfn2ywgZmpSKxQKKO+r3qkZvnUKjhYu4zKSrh66KVjWueDaqXUHhy6+ty5tp4IM10pV/rQm7GzvQOPt1ofIU7PT2ahhKpYT8i9dqRyBwJ/9c3+OtE7b//v/9T8CEh5RHhU/ecBymAeSpE7i+NGBoy5vjrqbps+99520MS/d9KdyZ7Em/Rf/xf+9feITn2p/6lf+DOGdEgqN+f7kYL+9/eqr7cHtm+0Dr3y43bn3IBsxyG937tzLVDGnwn3jD7/WTlEyr1+/0eYAQ5cAgoIdyy8wWl5cbEvnVtvy6kqeCxRu3Ljerly5CDCYaxvr6+3Lv/c77YlrV/J9DpClzt54443kcnl5qb35+s02Na7VcKJ9+5vfbM8992L7zGc+206PTtvvAeSsW6dWFn3gb/meMlvWWmNCm1JpPhxY7PiTpl39SCstTL7r4uC/vJP+9iXpxwdk96q3j/M725mAJZYeyOshxvK2702j15sNULZ8gkd3XJSntLgdEk4gNAlfUpM2SpT33dbvu66sQJa0rDCubaI+rdusU6r1eEnb52mXOFkh7MBvi0JfcQRgEbjEA2QCjHhuixc4WGR/cZfCSQOykufSyn6Rf0Ub6X3mukHeAaCcmnsAyDgAdBzsO2VNmju4UGCkrEfFwwHYJ9ZDARjXmRmn7d9rckR5kkpH8IF7j3crH9ajruqJL4yHq4Mabm4jjW2TneVXH/BnvtxG/1DrFX3REB8N3dAN3dD9K11pi39MNzrm7nUACneQUzkGmLhzmVYQO3tdWYN0PCfVrHmxj0cQaH3QuqPCrPXJaQECh27zhQCMKONIJZ8LcgJkCGt4BE+mfREX4qt8NGK+RXDkbKRRLUL1TSOdcfOaw2sBSOR/PGc0AfCIb4xwlqGmDfKNVheFksJTipkWgKA2ZzD/0oD3eMGLgC2gx3yrRyL7DR+LjZYVPphAke/1JlB8+IBUa9qIygbxeS/oMC7icVqiG10Yt3qIV6fTCQYSxvSTL+hI3nK2EL87K0/WKQ3qxTwhSikOtCGusiAhOANCoRXPM9rp1ekZjkaqDTgN0ToSoEITrUECUMudtVeWLTTnorqDcuSW3ebzBACt1W4fYLTP9/0T/Cmg6Hi37XsPSDrwvQqFShwFElTJHqgVibNTlFUUyC1PiTcAilCUY24Zxd/pRCpb0g7Cq/Rn29wuX9Yf4VV2Rq1Ip8ocnLbdLUdYrSTCWKf5jh+G5VO/CWf5I02GX9Y7RO8Umdwnx+85k80nKC7kCJ7TqoEyx6PBY7LuRh7j8MFkm+5NA1p6gIiZlGXCHdNUDvFj7sDlgZdUmnz+HmgoYCR9VIiOjg4yfS1XAImbNaTApKoyq6LpuTuTKPABXABL+UWnMpWtgF2r5KizNLc+KJs8KXCPQmyZVcasL6ffwTtlabTAiWiQF6eywh98oxVseWmpzQEC3A4727dbi0Tl1Kp/7U//6+2HP/hh+63f+g2+JW3K5QG4HX07BV5lNZajgYLvc6+Wxas7qY1Td1EG/SZfWw/khN/cpJyCBg/e/Rv/zX+ZKbH/xl/8X2eqmeuw/P3tb38d2u23D37g5fahj/5c2z8QuJ+1t994vd27c7c9/cS1tgL4ufHsjXbh/AogYDF1mDVhVLxWJEHu8spi6wEO5gFEaxe0JF0M8J2anWz9/a12/tJadny78dRTUAN64zc31ykLfQTgdXt7t92/f7ehz7YPvfKR9ou/+KfaSy9+oP3d/+ffDQ1dQ2i5Ex6aOA0v/Qf9jTsW2paXFgUngG7q3DVJc4JjgTf8JZ8FBFB3Vp/0DMjG24a7bbp1ASEDvnfAxnq3Hnwu0NjbBRwBLn2e9sd3BVJlwTPAz37b3tmMNSzr7VTaqWt33su6ta1HbYurZ2xZX7Hi8jEpDtIVwJqfCfout7U37drUwWe+5wE5NW+yoQXC230FnNjH2ZfYd/CYQOGu8JVBuzbuvemTJrTMoEl4VeBpm+M9T8BH8HiBDXfmExAJlmKlkb+1LFFGKMo3fC8oIh/2sRmAss+1r02cxEhatgc+SNr6yo9X8jsAW+ahLE7V9i1E5bqcINt0DStYs/lbx0cU2p6o4sWfkF4E2tAN3dAN3dD9uHtfesfxsSMElEBGXx028jMdsV23HXln6aiRRTz3KtYFfgxr511KcD5TSijZApQq7qQRhb6UZ+NWWcxdBEkJmvrtlfhQzkfMn8o8aXXT/txYQqtRLFERYIQxLa1gKQ/CP0Bn4JG9KmxOkZmcUCBbHoQY79wgKVMHkwZAxKllXAUfARApK97y842KsiBJhXNqmvgmPaRTQSxwUvFTODpaX4qPMv+xdYo4/F2KKuWxBi3XwCeNfFPvvIYO+BoJlr7S0DILeBS43PPbszWyTWx8Pc/2sYQ7DmAiHODIaY1Vz4Iu66KUYGkSEEe6WU8muE3llmKrUuC5MU4tUQHLNXmg3ghzjGAnKpy/zWPVpc4yWddedalvhLx56y1Mt/nFWepLkEJY/k9+CCvQKauDNNXa4McJkXR3tw6ae3IYwrCuSeksEypeATQDHqtpd8aj9958Gaaed++qDIavPBuX08cmx2epZw8I1VLlOrWprEFxWpEL11VaVYqnplBcubpBg+tVagpYWW66qWODLEURkq6d1UeLjTvJZSvfgJSaYmNdmjEth1nbRJbdIEFnVO+BLEfBnebogEQVRVqrJL6Xri0QPuIuZeSdm0b0ZqdRuidjLVhZWW7nz53LOT+rK6uZVuYW4ivLPFt1gwNH/xvgYLF9/hd+pf3ul7/UvvPdbyYfpqevuG0D7wEgMzAoet5LE5351RtGWjnNT8BgzXhNSQYfJh5clfm4/c+/9j+3O/fvtF/9C79K/Y+06YnJnBHT96BYwIrpnD93qb34/Ette2ujzQD2rj1xo/3CL3ym/fxnf7699NIHKOe5QV5KaZ2bm20LlLezBs5Sp047lB5aVARns9DrwoXzbWd3D/B0oS2trbbVtbU215sjrtG2vrGOcnvaNh4+bM88eaN9+3vfa7O92fb3//7fb/t9gQj9Utqd9ULh8LFGUtRR6LdGHTxz/Xr4TGDcm51NXQgEEx4nz7zXd9qvDA6vDVgcbB9vu+B5pn/+CGjNlY+kp/2toPzdW+9As61BnO/VUdaO4eUvAfIjyraxtZlDY7e2HwGQNnPumQAi4TPNrL7vrESDCJOP4kfDVP4EZB2gSr1SHvuYAjSCPvm/6jxAx/IO/uybTKfjO51xZ40e3s11HEyCwxI2fZmeuAVJNR1P6xQ0OASIDICMAND+zj7L9mLa9qNOhXTQ7vgUcAjN7APPlDXIA8NlyrE5MyuUqXIkqbkjnx04epxf//FMJBR6WT76vAA+HrujXfIDiOumHDo4JEhyquDQDd3QDd3Q/aQrTeGP6TwQ9LHiqqBBaabvtYtPh14jjyg8pqbCPlDUlXk1Da0EvL5zsXBEwR5M2yM8D7niBTDZIpznAh5Biop64jV+wYnTSFoOKdVK41oOr7NTgJIpgUhZPWpKoBYjrUkH5OeA+33yyXWCNAw3RYYEPeTXchY44hHpum13ecEQ77XoJKx5Ih+AuhxgixcwaO3Ipgt8E4vTZE25U7l/b3ocQfCSQx99LuX2uQ+Mg7BcYy3h6vPQ0jKZH+iVq0BlAFbiEfK+iyVJ6RmhfxR/cur0D5TjeBRsgRLPjwfvY9kDSAVkUZ5YkLr8RYwX/QMKnT5omY2fNwp8EiYOnpCuaefPe75RmcmC5QRTIX+vPg0bbxwDFinloLYPX17qtSmBpZ9CML5KGP83nHFCHX7AZ6kAlYfWdndQgnepf+04UbAENJanFEIVz8TzWEnhJWE6XjXcj/Jsd++lC6NXYR/3LBbAkdsYT004kj8dYFRbITudDj/Va7MTM21y1ClvAuUBKBnErWLkVCmVWhVNfZRBFK4CSI5gv7e5ghaerHOQUJZc64rK5yRgg3tyR3m7PJdiWfF5pZ6iYNoG3yuTdSBQ7nbbM3+uFXG3soBAryjCTqUS7Ku4mTetC061297ezvOUebbXPv2JT7Uv/fa/bLfevUku4CvSME59B9J81j0PUAzgKXCo85nvnMKWvPPMMs/3nKI4G8Bj+zf3HdCqjSEGZYS3vvjFL7a333qn/a/+tT8buji16/69u+3hvXvZfe63fvNftM9//nPtqaeeDsiZnJlqK0sr7cb1G9n6293mpJHpyjVujiCQ0nKT3dngJfMi6HA64eVLl9ozxHXp4qVMpbt4YS2WLcHcs889Sx6pe+rq/sMH7Yknrrabb77RzgGevvibv9HWH9ylzdB/wqxOwbx25Yn2ykc+0T73J36xfe5zv9g++/Ofb5/6xGfaB158pR0eneEPaScFsN3QoQ9vSLtY+MIb9CPhd/1g6hqdnUq14aS9dNPJH/62sPVl1Y/OeDfWH7WNzY3wT9reILx1bhzKAq2aAfKEPzui/87X9CW0ecuks1/rgFpN5evaQv05kBFLr3TiPgMoEN53Fsm8C2AOrV95Fu9zQYF5KwvRaHhF+aNLzOS1BjW4Ao5GJwBgxJ11QQQzJtexZeAo7aQAksDDAR7P7upoGgu3ckvPd7Ec5Ttof3xAuBqY8qBzQVj6ageq+B0MI10tMz70NBYTxHW0dTpj104sm7QYi1WttjO3zyOS5DNTkwmq1egx4OSboRu6oRu6oftJV5Lhj+mUL+hbdLol5MrSUQKLHhgBobJsQO8RQj8y6vlY6VEAPhbSvHfUbgAkaj3LWJvtTWX3prn5pba4vNKWllfjFxeX28LiPM9RMHue5zKFYuIUFw9wXEDAzuNrQfrs9DiKmae9n/LMQ1hR8gBhY5keCFBCQNUGA+Q5YIf0uWbamiBkgnyTPy06lim70ekV7JSTyKLwu3tczjwirgC2xMc76YPwN4z0iCJA2aZnNUP5rqNdxdld401CGkrL0FQlRfog7PKSV9AzyoKPzJ/pCGi8Co4eewWtXyvkVaJVhgVFWg8Q0AhdlVuflxdISBvjqTJUvkxTIUt+BulXPok/AAnlgbj0EfEoo3HJF7kwXZ6pyFfoKj//ArwTF15XQKkUA78VsC4ua30RfJQCVYvLBx8MPq48+ay8v3PukVPrTvjNM616Ts2KxYlQUZJ8Jm3z27hVxlQuUMh5njNapHVXZv6LH6Tn84xAo+BpFQpoQPGW32dyPsxgpB4F2qtbHHvYqhsQeNim7ztAkDRNL3UtLaAmdKiziaRxASYVpm7diVOIrC2/m5x0p7JBPBDOuG1r1qGZLyBlfRi3iph0BhwRg7yTbdyJy3p0fYhKbgfUrA+nRO4DzLY3t9rDBw/bu+/eam+9/XZ7++232jtv32y3b93i+X0A6RZ5oDnQqD7+ysfa1/7gy2136xGgcSr5su13daz3vqtXaWr6j+sXp5LfKYjSqudanx5tHYDiFMGeU8tmp9vSwkLWBc3QN1in1lttge1ZOZCAdH7vd34XUPSgffozP9/2KZubDXz329/KZgtO9+0f7LZPfeqz7Ymr17KmaL633FZXV7KxgnFYB+Vo10mDgsKzSYt6XVxcCD8ImtzQ4eMf/0TWL73w3HNtDZBEF9GuP3EtdfPKKx8ESE1n0GCJvu61t95sE5TpK1/7Q/hjIuczff5zv9K+8Plfac8+81KbBlw/fLjRNja2csjuRG+unbt0tf3Cn/7z7c//hb/SPvLRT7f5haX0XZnOCY9JL+lrHUrDKkO11YAn/iB76l9rZKaDEd56cFqYtWDdpK547rNMr8s31DE0KB6Gl0nL9XNzPXeqm89mIQb0bLnZmXnyM5243B5demsBFGD6fdeWYimCpoI3eWXEDjqgwHdah8mX3i7G6WSwhXmrqXW2hGo3xudzWmrizNW+Rs+f+XZHzExzpk3CfLzTU6gBiLFPtA8L0DJeei7jrkGnoqPWo7FJO0hoKujhO9uUfZ5IJecGnrkIyNkKlkOS8B//Eg9X488aJUJVP93lX1rXu9Cf8o5Cj9ERwKQH4Xqv4AJ+ShP/dLJk11+XH7qhG7qhG7p/lRu7evXqfza4/wn37//7//7g7qe7v/4//J8ADESGco8c5GpHXALHPhoZRMfNb5V/no2lI3eqBkoaHwQsIYBq7rxC1fNZXB8x1XozCwjM1dabXwb8LKM0LAImFlAWetkKdgrFQOVzenoWr1Dttd7cKoL4AkrvKn6eNGeRcYR1itNEbY2cc3NQVlT4a5RPBQFBg7BSGXJdVabmAc7GJgBTAKmzsT6lPUzZFIiIwQixTqFPuXkaxehxvCr6iCJ1JQSj5ff5aYAT/9QkjEOhh/DT84NwRMRzY0S+GbCeSytuo9z6WseDUhIIErr7vn4HSOkTH3HjFb5acfIXga5w5x5BG+2CYLHsmBffSRPyXlaxUvgC5kgr+ZEWCm7TpcIt09S0Soa/qyCWIcqI9WzG+CcNM8qqoOf7/X0VfQW94rwUj9CE98kKz6OYhYZnKFqTbe08PIHC5/KDjPISTFpUOSxIikBsRsDtQKnY3txpu9tOrzS/KODSM3mUllLd38STunBazwS3A8WMMgQ8+dvyBrzgE0eVz99aViYnZ1CglwDmc9Ckl9/z0yjx8itKobvVuW7K7bYduR9Hcc25R8TZAS2VP/OREkgDy0Zd+buU2cN2eLSf9Q/HgBR/O7ptXasEx2rhLnikqfWix1VwUFtmF59IKq14rv/w+25tkekbhwpq6gllWkuVAMxK7BTMADS+0XLlmUkq9kXX0QAUd+GzTJ759Nqr34/C/M1vf7PdX7+fe9ticcSgDkgvIG5wjWWKcL7Tea06+5Fzf2xoOPm4U9xDn2N5rAFEp3h21OboV9y9SwqmvQ14TAq/8+7bqQsPcd3Y2Ghb21vtxlNPtps3324ffuVD2YTglQ9/KNtST1Ou1dXl0Nfpt8kPcXVAKeuy4DX5QOuW8dpeMgBhODI1Dbjf3Noh5bO2urycd/KnW7j/4PvfBzBdh1e3swPel37zN9oSIOv8xSupX/OytbvRDk/3s67noL/b1tcftAf377T1h3fbLfL8vW9/o731xuutf3TSnnv6+fbCCy8CIGfafUCsa6wss+1c2hYvSPv3BqqsY0nU1YfUzxRUrRTQ23A6wfok4d06/ROf+HS7dOUy4eudtD2GX7bJ39bmJjwi2KI+bDe0s0P5DHTo4EDO5hrwQgEyvP1E+NnUB9aUtOPBezIoD6b9eZVXEwP3yhktxOmXlDvG7XPKynfyjINedhLWQaY+88xNcIzB5ybtZi4nh9wfmbb5EeB0Xj6rMtllJP8OSkGPqRni5Zl1nVkOvEr7BTAZxvvwuEBduUKy0r/yj6PM6bNIJyUiAfPJh6GJljJzWvWmlW8cnnPAo9qBzTTfDqxHZVGq+4BJaPN/+E//E579dPfX//pfH9wN3dAN3dD9bLj3BSD9zb/7n0VZjnCZpMtFuCjL0nHzLNPAEAy1kQLCx3llA8EVEEXAiTz30MpJAM5Sm19YbksL5wFISyiSC3T+KhcIZiSM3ngyxYJnBQrwpKGSOTWxBBhaRgmcJ05HJlGu8BMjKKOuAUGATZLHyUnyO1FTGs7cGc8NHEZrw4lsEIEfc+c6p/CNoDC6W1/WRCGgFGSCJ/OPgFOXUKHQkqGQjDDzT0Lw23nmKtoqvVEDFZaGUvrmKuBA+CMwIwB5aZlCSNzgUnSNNy4f1Le+LiuRo9dRe/itxFZZrG8qTwpl3uoBeFl/FK8SWYJXby7K8oQkhQ4CSKfNWY+mW1MaTdy4BXG8o57NgTSZmIIWkwb2vf8NPsSZO51llx61+5LKuXlLgPBE3VdZzG9GXnnOh9TfWDt/br7NApLkm+Ij6tO6IB1pH0VZ4hNPdASuKhW7O3ttc2Mvi6gDaAb0sR7L1/PwFoqVfDYBXwn+fDYu+BlXeSfdgCP5WwWsvnWakjtvzUwCRmYWBwBpAT6eaz14uTcBqJ/0UE7zrqI5GYpYtFKALLulVsnx/xShnunRfryqIGakGi3IjQ1qBy0AEvdR/HGCEgcQZlzj1JvPoZ1uxe20rwI+0Jc0HIEO0PJ7p+kdliVRl/rDdelpXZC2KnbSvvJSU7Z8rpM2U6TTm6PMbjwBiPCsor2drbb58FH76te+lkNkBWoS33gtqsqlqUXJNY1B/D/qu3rqAFPqmd/ygFY682Xpqy7gQ8PxWwX/+o2n20c+/un28U/+fPvgBz/SXnjupfbSSx9szz/zdKxCHjT6w9feaB6wKx9JB4vvmUKT5OWDL3+gnbuw1q5ffyJrrbTMhZaCh9CS8pNH68RakyenBUfkQSBXZS1aydkTKOcngJfV5VX4ZCbl2drabbdv3wFMbEE/LePz7St/+AeZOinPPPnkM+3DH/lYzg9yRzdb9arrjQBAH3rlY+2VVz4CkFoCJD3MpgjilP3+XnvjzdfbW2+91Q6p66eff6FdAWi5cYK076ZfprChnUCkwIde59W35tG6dBphtZFq11MAz4997JPtk5/6TCz9Or8R8DnNb6+/ny3jpY1AW37TOVikhfpEiyR9kdN7pX8BdPmp+oW0N+l37G/rXb51YMv2Ss741w0U2Y7yzB5AMKe8sfMiUAaw7K+4r2nJ5sKyytPwCX2+3Yafm/+s3REgHZEuQKMAkkBWoAvf2i74HeBGTInTeKbO2uQM4S0D4XxW6ThjQbr6nXwpwJ96nKb0NKZqw5aheNyfVRPmy75B8JYU4QvkXJMXXFvJN8Q7Yj7p97IWi77OjWiUuYavETvSIex/OgRIQzd0Qzd0P+HeF4D0t/7ef15CiT7XrbBVnpWZJaC453lADF24Qm583CkAKIcIBRUnR9Hn55cQ6ucARquZcjE5PoOgGcw9Hyj8UXuJU68Q8Z0KUO3ahrKBgj6RhfArCPs5hKLTikhnZLpNAYwERxMuKOL7cbfTDsBBURlDuLnF98lg3VEsR5RlsEucoGlkpNYl1Q54KGd6wqTcEVsD4crDGnl1BJELglhQ4ghpwQ48eeVh7otEPBOMRID6VKVAZzlLyUo8CnWUMMtfSov3iSouAJT3+tB9IHDjBoqG3m9LkVVIc43nn1cFLu+zxoj4okigwIxPqayqwFaeLKNZyGin3xB/pU39Ul8TAKTJSQFFTeOpdygryRq/B/nOSDrJqoCgM+adVKqCVTmT31x5j/PV0mKvLa+6qQHgJcClA0coAYNvwiumwnf+PqZ8LqLeWu+3g77lV0EqxavyrS+rZo2o11z+gHPDOAItQ4Sw8iXvwoM+7+JwOpFgYBYgIiDRWgQompxrMxNlwcxhofB8gB3xyMdms9pL8Xoe4KJ0DQounTMVEeXS+ouiifJT6y0820TLjtYjeJi/DBaglJuellV3rlOhd4qVwCRKsMod3zs1T+uPp+y7wUN4gXyYt8pX0fAAJd00/bYAVllqnIIlmAiwIv1S6Mg3Vy0JbvEsOx33++0H3/1ODhU1LdO2blPnxGUZu/J26b7X1u07ip/0lr8Lm3UqtD37klkU9wnrxO9J3ym5n/z059tHP/O5Nosy+uYPvt+++o0/bN/65tfad7/9zeTl7Zs32x7lv3T5ajt3/nzb2dnJOhmV2PsPHmTTBXOzds6NFM63c2urSS/TIclTnOWAmQU/0k5LtfwX8OE0M2iusupghHS3/lWsBRrW+s7ORnu08ahtApBcO3P54qX2xuuvt9dffy1AxmmDH/vox6mnfvve97/ZNjYeti//3pfazbfeaG8S5ubbb7VXf/g9QNCb9J/j7ZUPfax9+MMfB5jstTu3b2f7Z3eN293abO+89Xbr9w+ye57A+cH9h8S7l3q0DuQB6V/9hEp/AVWdVwGIPBTrRwYLbKun7erV6+3Z51+MxbLaRbV7+dht/Lc2ttq9e/eg6b2kp8lkxHZ5ut82d7UueSad9KM/oU3zafjHsREPdk374D4gCRo5oDTgzuQpViQ/kvLkX592bL/g+8E18VAPzmt0x1FBi30YVUafwi1NMpvYaNGTvwFJxwAkD3gWIGU9Ed5dPgVKxfPVR9vX66d69JnIk1oTK4fb3wuU5FvBoe3ZgSToNxhUlFbmzXtiIVz1kZ23zDr7zONDQTjlQ76NIOsaMrV5RpPWIt5DvVwPaWPZmrwWNuWbrE9qtpHJ9p/8J/+hUf5UNwRIQzd0Q/ez5t4XgPTf/wMAEgLFvh0dMZ17gQTuuWTnLISlAnPS6XAzTjfSz7aFOdcPeYDkUp5NoOCMDRQ7LU+d0HN3Kad3+TujzAhe0zDNCB4EgLs1jY8uIBaWUZoXAURz/O7x3IXvM9yXMuN0GMGNIMktvt3owUNntQ4JigQBKjeximk1ccqdZzBlwwg+IdES/hbQUU6FmEJTS5RAyTh4J5AQtCn8Qhv/K+FnrhX3jtKqDOS3wjXlwfOf4RwRNaTKh8JTWiLf8ObLdwIr4yyfPPE04IZIjKPzScN8KjW5Ip65UDbeqQwgNg2UOPy+pt9RXqdOQoeMjCYuad+N3hMO/xgAJS9n1LN0hsi4Cl91ZRqd1SHlJAk+RzHzkEUfmL75NP++4z/ikzYqlypUk1Mj7cKF5TY5A5+QD4GRgZM+KVjUFJdy+itKN38qMbtb/baNd4qQSl8BH5U861OAU3zqDnI11U0gJFOrWDkKTTn5LfgY4RvLFaAgPUhfQD414ZRPABEAaVY/CUia6sWiNO3UUEBS8kq68pLxpW6lbf5wpFMKqVdKl3tc6O0IdllropxBl4Am71GGjMc4BUOO6ju9KwfCAoy00Np+LK/OeOVBlfoDlHBBQVkOVOSsM0ELvEK4ADLeSSfbUfGcympZrgRYNapOXZBvy+Z6QD1c1/iq7W1vt29+4yvt7v07+ZactgOUcl3ObRrUo+kZvy71IV9ZDzxXYbV8WU+UspT1JmtN4CfXk6no03jbpz/7hfZzgKPvf/e77bd//dfaa69+rz1Yf9B2+/tteWW1fUgQ8ZFPthdeeqFdvnS1zc8vhl46d5HLds3E6wL8D7/ySnvuhefahfNr7dzKSmimNU5Lh4DHMjvVKtviU13S2PJY0LIwjZIvp3Vatmq7Tkd0PRBfttu33mk7uwKz0zYztxCw9K1vfpOcUCjKdP3Jp9q1a9cS3vVMX/nDr0KXsbawvNReevml1puebId9wNXRXrYGf/UHP2ivvvpqO3fxYvvwRz/ZjqHdo0f3bUKw11nb29tpb7/7Lmm39vIHPhS6bu9s80uGs8+W76W//E7+ubdOuvoRgMZixxcODE3YRlHaV1bX2oVLF8NrVYWUFHDjYboHewXCs5EIdSB465Pn3f5m2zvcgc5a6ek/JgWV8hjf2q+mL5K+1D88bjuoZzbzoqftyf4njiKYP/Mqj/kejkx56hkO0AJrpY8PKEv/f5qpwdlQRxCUtqG1i3v86XH1IzkXzjYIn9WBsmVtzUDR5EkbmwYgzdCGxmhLTlGmHA40WTY3urGPk99dgxVZM9hoKFadiol0TItHPua/AESLjM/OeWRxDIAzimwbOZsgEP0q5bSQTlkOjfjGdusUQfMuuEz81C81nH7rP/6P/5fl/BAgDd3QDd3Pmnt/LEh/fzDFDkVahUD50wkqgYgLXSenUQqnanerycleQJJKo9OOVCqzhoDOOjthOcINQFJAqmTkAEeEdE2RUGktQejPEsAKaITq+EKbHFkDDC2jOC8AkgBFIy7+RgoieBSR/hOnZMvwMZWoA4Qiyg1BlC3OP+82ZCBpABvlIZ2sixp3rYHrSBa57xF+Gs9HA6FXa5gQpCpLlpt4fJZ1OjxQqVPZKOXb78x8ASszJskU3iohZ5nuZ7ylyBrW7yPeLEa88UfdinKQhcpKzwhjLn7PfX4T3ncRtPmCXygY5oCg/CK9lMPv+a0Sahz8qUTUBhzmQ9qpIBHGuPDvATTzIP0aypFCvyqoA7OVZ72p6swJigBxuEXuMYohKkHybUKVVzUCfw/S4tPVc/Ntfqm2Qp6QrjyTbt326ZbNrLrpgvGYGp8CAA7azkafe/IzCBuSEqCUwIGyQgFcC5E6I94z0ul2lUMjSVjLVvVoXPVNrARaaOCR3vRCm4W3Z7mfm3IRuoe9OrVNyyjhLZO0EngJes0nhRvofFmzYJ4ts1OUAoJU1FHWVP5VyrvF5ycqaXleiqTPAvRsd7QdrbTZJEJrLV5QIXgpgOXIdwGtgAqd9AzPchPaFA8W/X1Z1iktCF1dGjbWYNq51iKnn80vLLTePGWfnWkLC4uAj4W28ehBu/nW6+3+w/sBKZ7TomVPi08qyiQpd6x6xB0gR9wFgkvhfQzOeCKHQMFsdGGfYB6N88aNZ9qv/ht/ud16+532L/7Jr7XdnYdpj54p9dzzL7ZPf+4Lbe38hfbD13/Y/vAPvty+/c2vte9861vt1e9/r73+2mvZKMDNFx6tP0q81sfzzz3TPgAQuXr1SnhAUCQPufZKnjNPAYhqtTj5yd/yhbySeKCxNPfZyWCKmZYMi3f3zm3otmBM7dvf/U7ifv21N0hrsp2/cInij7Rbt2617e3NWMU+9JGP+ajdu3e7Pbh3L3FLlaPwhUq0gz4n7e7dW+37gKXLl68B8j7aNtY3ss24fZz09KDf27dut7W18wCba21za4Nc2Q/QPxB/WViL3pZJb9vTgjamdRDwrRXEGnJr82eef6k9Da2kYdYtEUnyQ7m1TO3t7bXtra1c9wBHAY18nJ0902e+56uHqHbvDqlEgSdv8GwGZ1D8jbv6Tfp4ytQN7DyOg/cCkQJQxdc+l9FiuRmlDQS0aPGh7fBMC1EGk0hQ4CgoCyAj7cOzo3aEr2MRHGCyzYk8yCdxOAthbOYIgGQepGGVIeVzkE/aGhd5yMYsgMECSOTVV4IX+gWSFePwm3JaXpLwt+8Em073c1BwTDkk2LF/4tvEITjiO7tS+4WTHJBbNJO/YrmGJmfw8X/8H/17oddPc0OANHRDN3Q/a+59AUj/wz/8zyOYFLgKCYW9fXX0yYlRFDNAj1PdUKqmJ1Geeh6q2CO8oKisOnTZ3NNpq6hG2cSr5OHd/ch52rWQXSHYCR47+sqDUycmx1YASKsApB7CehL5hwJwRtynKHS8jwBBPGSXuvECR14dNXTXOpXxyE3iFiQl//gplNqJMRRc4nXq3njjOoqCPjpLYKdKUQ4FY9Yn+W2tqzg6OSBOBCjKhAp3AFIU7dF2EkFNnlRESTPra5BmoR2CUuGtWDXPXqPr6wZlLgGfnxH85Da/A3L0ClvLg/B3tFjQ4W/LX76+HUjTijNpKD7xBPEai5rgCO/77GZG2IoBWvJDWlXiFUem2CH4E//gWULwwLxWHv2aHBGRVzcYcI6/u0Ql/74nX049jIKQodRTFO7JtrK6FJ7y7CjjTT1R3gmJR1xdOtLZlFW0VQy2t/bayYH1qtVByx68Rj4LvFkO7lN38pj8YvzS29++Q1nnec4lcuRcHoWnA4z4PT0BOBgHFAGOpqZQDp3WOQ7vTMwSlvC8L3AkTeEFvvN3gWXLa9I1gixN/K33pTRQ6QmYcUR4oGjnvCOvKkFcDSftVEzNk9OyBAV1MOxAsQ3dBnHinTanN4484890wmOm/iP07Nqo+Tac6Ws9OkNRdHqdCiUfR5PzXhAl0Jibm8vGCHvbW+31V7+fTQIOnLZkHeNjAQsfQgvKLICz/dtu3FxhZtLBCBRkFcVBvuUJLTvW7wLKuPXmNK7PfOqz7dOf/Pn2a//oH7Tbb7/eZmYAbr0ZgNHz7ec+9WkU8/32pd/9YvvGV3+/bQLYDvYBzbEKqEAWEHV77c2NrbRFFVbB3yLA71d+6ZdynpB5tpm662NH885ZN9IoAxq8SN9lWcy/9LGypTH3WpwEKLu727HoLCwttR98/7t8e9befvNmnYVEWhvrD9ve7k7bB1TcvXOnvfnGD9v9+w/axz/yidbf3gHUVLjQRW/9Wcek5Jo5lfI7d261W+/ebh/80Efb0uJipuS55iebeqBwPwC0uhPhiy++CD1GkictOVoABbBRronbMjwGGvzlcFrAkrzmeU4vf/CVdvXatdabs49X0dcScpK4d3d22vbubuvv6fdisRRouZvg9Kw7ODrIIG8V4Kjd36AT99LMeASrcrB134GhtHXIKvvYTxi2q6PkVR7mR3bf5D4HfAsQrSL6nKRH/w2rBTRlTZHWQK1IgCPTNU43qzk5O+C5oNgtyqu/Svsji/azgqyJGa1gyQU0sF8nHH2oaYCykgcepqyeh6dFiQekwzfwG7kwtdRlSs5/p9SJ7KMVzXOXyH36GKfJZetuCkPJ8r39Nx9zlRcM7yCINDEu+RU6UKfKo//9f/jXCPzT3RAgDd3QDd3PmlOc/LGdmy7UqKICSEVTBc0rwkGLDA+mp9zNaxFFaZV3MyVcFRwRHgMhxrNSjAZKmCOU6cRrq1invjgK7aGaLmpV4eu858yQOOJK6wYKAUKiBI1ipJQ7453OeTQoL+SxW0+jsjw1iaCfdN3ACQILUDPuyG8LoJuenG/T40ttduJcm59aa7OTq9wvE9dink1NXCDMBa69gLnEKy0sGJJKgWQhKzveq2c7Cm/eZ9rkzEIbn54jzako3wryrL8adUczgitYEardlucZhYxH0MVTat7FWmWNJh2fIQy5d3paRjgV5o+/01JzUnXEt1VXpRx4JlOAkdPqAI+eBZV59cat2I70rfw4TZEsD4S8tI+Ej7fcWdCMwpnDEb3HmyfHbCP8ict3NaXLeOUH6VdlNe48x0/MjLWltTmUXefcE0mUFsrDbUid78n3SIFrn8tP3vQH1gr5SmCkhVKLyoybFsx6Zo38BO0JqxIl+JIO8vQE3kNVc57ONEBZZV2ApOILH7pA2kNgJyecNqq1SH7hfhJ+cNdEmG3CdRDyIlnMiLxtxjqGdztr4ntXvFe8TjqplAoinNblgncVS8FJgYRS4MJnqkjhoVoj0g02BKQTr/fGa1jrQ5o4fagUKAFC1V+lL12NDy9tiFNvrrSaqLDvAHi2Njeyi9p+f5dn221rayOWAa1c3Y54htlaf9QOnVIGvc1Px0uC7gDqlL9AWJeW+e+Ai+l2dAlvUVwtFyrVKoFOh/vVv/CX2tWrT7S///f+TpuDT6boM64//WL7wuf/JPU31X79//dr7etf/XLb390COFAf4RHjM27SJ00VcPNgvlzXZT5Xzy215154uvX3d9vOznq861YODvqEOSCIa48AitAvU0itD0hpv2U5ymJneW33dWDq0bE7D+7hd4ljP+chtbbflhbgTdrp1MxIe+nlF0IbI3P9UOjKvbR6eP9W+4f/6P/TPvjyK+3i2uXWPzhsu/vwuaCZ+N1mWmtSHwB2wDPr8uh4p/32b/8zwNhu+6Vf/jMZrDJv1rX9Xb+/0b7+tT9MX/v88y/SJ7ggZ7QtLS2382vn2+LCUvzS4nKbn6P/m9WSXh2NaUzw3craOfp5wBHxStiiMX25v6FBaM1vy5W1Y7QN+/Oc3UM88vfJCSCkuRYOfodOntHmmWz2WQEZGSCT34tXvRqx9O+cbTmOcOkbMtjC97HY2+fgoVFnLaq+RBDmdDvTsV3V/UjOyrPPcxreCaDxiH7jEN5zAEzrk+/gG61H49Bh0sEyLXrGD3+Mai2s6dyuec0h2rQr+1nXJUlCp9QF3FIWbi0R+fK+gK/gyZkQTsH0Ko92YLhAcLXN9N9ZLynNawqq7YQELSHxVr9b7D6g0dAN3dAN3dD9EUcX+cd3jh4q9FX27Ohzlg/eefeeATMz3Wu9ueXWm16k86ajppP2zylQggkVFBXQSZShOs+mlDM791gsjBNhouKogpfT6RHMEbAIg2nSmQGAqZikw1c4jE0jNOYRkjM8Q3ggeEmNMAjkTLlTcBOfyh8/R8YBRugC41PmnbTxHt43mWlRKr3LpLdEnhfa1OhCrFRTYy68n2+98UXC6QV/Lk42z5ZLxcFF5SoKCkQlEgLKLHIrAAyNUA7cutx0xsdnlHC8QwDiO4U0CqW1JW1UEgQo/O6A5mOPIiDok37xPKuDahGqKAhRFriSvUbuyKNxV15GATlRhAU7pB3rCgAooIzwKQ7f+lfp+KxoOMk3gmJIRhZVuBz9VElTySkhntH5ACWuKG611oVMDN67xqtbwFy75/E+ioeWrLO2uDRLvWuxq3xXAflnPrxH8Bcg6KZ+qQy4MYPK/J76Twod2pPXCTeSQLl2HUnt7CZgEZTzrXyJn5iCx6BDrACT7lgmP2sJ5R7emNBClO263bZ7FlAEUIL3AsT5G6WyXQfgovJy8FcIJx9Uuc1rWTctVHTIUpaiJelPUGzdvnu/HaNQH6qUo4x3PiPdKMSWXwWv4rMOEh0OHiEen+cdnl+pi2PiPUSB3jde4ycuFahY+rjqzWOm3w3ilSNdLO5akt2BVWMXhfuQPKiMLczNozzPAxYF//A2SrMWLM8hytQgaOL6KBW5Ga1DgEhylrLGCmI+Scd0T1C6XWdW1jrbUlmtzIffZ8oadJomvX/z3/orbW9rq/3Tf/yPSGef6p5on/n5X853/+Sf/s/tS1/6UlsHqO3zTtCmsiyJSS7/Has8kw/LLsh48skb7cmnbrT5pV575cMfBCQs8rwf3j0ErJjGAYDp4AAa7O+R37Ls2f7D39CyrHrWp/UP1X/kXb+/R16g/b7rjrZ5u9/2dh7APyjgM+Pt/IWltnJutS0sLrX5xfnEIZ3ky5qC6dTUfvvH/+wftQ986ANtaR6wA5BAhaZ9+F7wXEDJ9mLdC4blp9de+377+te/2j776T/RejPzNIjiCavcdvnGGz9ob7z5BsBwra2urPF4NOuz1s5fzACVdejGBdLKQaHp8ak2RRtxZkDisbTWpxQNL9pH0NZ6bl5S0zNtKzOuO6V+rFMB4MmJ4N/BjIO2f7TX9iif65KytguA5G6j4+4uCo26fi7JpROwkIN+iWe+03ufc4bsCwOM6IuISyvQMeCF3oh76ok+x74t1iRoWP1R9UMZTJoizelj6uYMcHQCD5/ST/Iug2r2gwJrQeIB/N6BIfgMQAfXJr6sW4JP7D+VfYLABpDKNOPwirQq66x9l+05/ae0tD5pY/KB4MhpckSefq36iipvXOSC8lCgpBVTeWL/aP+mDC7aOWA2dEM3dEM3dD/p1IL+2E7lMesxACB1QJ0ds9MmZtqUu3jNqvi7FkjJZd99hhIAOKDjNgOKZoVY5Jvvuak4CiDYwXuNEoVz6kotQHfuuyPxjpQLiLRkqWiqjBt6kvi1NszyjdM9nOqE0jqOgFGwIaRioYoChoIPOEIXjrBTSZ6cnEaIA44EP2MLxD+HHjGDskE8xOmBfGNn7o4HaBpbBmQto2D3+J58uAkASoDKumK5AAACL4K6Rv8CgHJv+k4xUcF2By63NCc/giTKXuFUGot2GdFHuKoghGZIuvi897d0VFqqUJkuQt77KM9+M7D6CNCsB9KuQ0y1rkGf5Af6T/Iu8+MrbpUP0674rQc872J1QviC8xpZp4wqIAQ6s27KYhEAw78CRwNFAQClQhTwmIpFCUBZOB1xtFWF3/yrCJ20xcXptrQsH8EtKrIqM4bnQ/nK0ensVjXgl24OPsm1nR2n8jjKK+1PU79Zb8D3AXcAJaf3TM1AA8qrEiuPmfeOz+pwTcDRJEqeSr3PodckQGhylPdakLKDIvXnlru2A3JPFpLHUhqhHXEHAAzo0dWd1eT23VlLNFhPpLLdbb3tVC6BTMBQFPGaUqeybSIq5Y/bCXl3+oyeyHmnUuSIvVP6wjChj1O8DgE5ZQWp84+ySxZ5rqlLKvMF7vxpHZpXy1N591nd+41bOAssBCyGcy3S4uJK2oPt1B32trbW28NHD9MeHOhwUMSIzLcKtpuzONotEJ0FWC0DDryaV61n1qlhLbMKY224MtF+8Zd+ub395uvtd3/vi623uNA+8smfa+fPn2//8ou/3r73/a+1PiBEXj0lre09d0zrt629ftsjz/0j1FSVU8oobWsQYaR9/wc/bPMLs+2JJ26gwEKrk9324MHtWFmOD3fa1ub9tt/fxmtJ20z5JYTtXaJ04NdnNThgv1SA3Wl9p4KBg10A5ha/t9sJ9evAx8buVta4rJ1bBPj2oUdrly9faHMLM4A1eA3+XZw7aWsXW3v+2fH28nOjbXfr6+0v/fnPts994lz77EdW2ud+bq197JXz7fLKPM1K69oJ/DoOeHWjEM+DOmkPH95t//JLv9l+7hOfbktzK+Ef8yugtA7ksVs3b7YH9++FR3b3dsJvWluLj1o2W3BaowM1HoCrLNAbz3vTVOETgqe/yWADfR1tyvOY3O3OKZTVZp2mCWjUoqYFCV536mY2CeGdXloKdKLsZyCL+I08dSbPcstP+6Yo/3g3jHHQK3VDPWoVChjK9D3bkdYqeH/gtfic0QedCcScfj3u9YT+DSA0Dc9xHZsAhI4DgnIlf4adPKa/PKa/0IpUlqUcG+H3DsBpkZfd7X8HV/u5yoPgCBqYS/+DaOlzCSMNfWYYN4wYBUQ5uOjnBnHtpWxm2/DD6gfwhDmTrrykm4PWyJVqbomzrnwydEM3dEM3dD/h3pc1SH//n/7fEJhKIAQsPa5K5zTKT683D0iaj+Kdxei8y9QzOm4VcyWA36Wj9l5QhOANiInC954vgGHHXwKxRiX9phTAUQBLO5shB9NoOeTlmDjaLOnM8Q0aBt5pHWdnKCZtF6lyQBolZLWynLpDHSVQyBAt8U6gsC206ckVlF6A0Snxnwp8UIhHpimPliiBmeurxnNG0olKvVMx3ABCYU3eYuHRU55MqRDsKNAi1CrvCsNuJDvPFGrJh4LRh7xHdPq+RkL9nh846WEA4xH8OH0kaeMDJAQYKg98H1oRfJyIsvuX1iIeOJprPZSCZJ2oyAgWCWd6ScL8mAfzVuman9SfAaw7vo2CRbzSxXLGGsO3XT3qalRU5V6lFEUFYHCkEu7I7WD6jOUvgX+KsjbWlleWUXREX8QHTaIAkLYWxwl4y/RyeKVpDBRTFXV3Ztve3iUun5HfTAXUOsg3VH7VB2BUxZw4/C6OZ8bppguhD5qFQNIw8inUwUMzeGAyuyQWODIPI+4mNQBoFiHfAXyz45dx4btBBMvi6G/WOaAMqkQ7ZS5nGfE7U+pQQvcFSSiirvPxkNZSqLr6qKvOq9uPm6b16E5i2eQkiqvlsw4EYlqAtBy5o5g710GfQb3KX+Q8oMRy6NI2JRxO8NRN9TPPpuxULkGqZZSnzJNl8lBZrTUeHOtZPOsP7rc7d29TJ9tRwKtdVLypbfJh3+CmCwJSN2cwHfk9gHBQt4Yu0D3a/tyf+9V265132re//Z329FPPtitXr7Xvfe977Z13fhjLzs72TtvbEQQ67a/f5udO2+ryabu0Bl/Nn7bFBcAazdtd2Iz55IR6gfdVrB88eNRefOkDbXP7QbvxxHnoOhJr4xl5hzjJl9mQPhnciLJfgy7mUwuxdCtepnzQSbCxDVDsC4yyScF+lH8tWIJjUqfsEwH1t9592O7efdD2+gft2tVzbeL0Ybtx+bRdWCZNePfdO0ft4tXF9syN56i/3XbjqRutNzvSLlxaah9+5RPt+pXrocX61gHxouzTNl3vd0CdWyd98vLurdvtIx/6SHvw6FFAufmOhY/2oUVF64Z/WgAtrKClwJ51AM9QB4Ic+ezSlatZg3Th4oXwX1l2cYmDbpl2Lk9Yl+WcUgfIcrohYHAHoBgrHSBGdstUV2huLFmPSH7sy2y/WlUSKc6whqupufZ11s0pYAUeoswGNGj9T2yDuBxoocmSPYAO3QtNJ9/5vBuIMSxFIX4S4d4dTUcackQLFHRwAwTL5REXUzNOvQMguZNdpib7bQEi82jbs++y7pJ54uM/6l+rju3Tfrz6ZQ1E6ZMdqHAHOoIeHzqw4wChPGYfTbvGpw8mZNq/DTmODyjDmbTgY4NUP0u45EF6jbb/4K8NN2kYuqEbuqH7cZcu+4/rsg5ApThK92TWGs3OLKAsqTSioEVhs0On0yfJKFr42inMq6BIgWDHrYAwW5U1w9rpK2zjjQef0Uk9CkjmrxsXeTAOp0UJxFSQXcx6cqwS6rQFhCoCzbgDPJQfp77jkX4gYLhECI2PThOSuPCCIYHR+BlgrxVIUime1no0utBmxhbxTr1bQsFbQDhqVSO/5Mmph1kHpGhCMJlvadGN+gtc+MdbhTq5EyDyfQ4htVyED/1CCwKEPuSV74031iUEbc7YQCBni1oFP0JZIah3jZCeqKCXXpoLPqw/aDbpFDmeaQ2a4tk0300Rr1YklIwxrgFl/AvIjfCW3paN/PBbgS6ocspM1iSJmXGpb+ga2uKqDgb3CPAjR4oBl5kOGEf+ndqiMkJ8C8uLbXLa9VgVj98aklfUkfQjLfJQSkIFUbHTGuC2yYIj60K+yCi2tLRewnf8Jq9OD5yeBlLPqOyhgBjeBdTw9pjKiPwdLy87RYj6n5xBkUUphv9cM0ZOosio+Du1SSUyo7ek5/ollchYPPGCJPW7zqrgFKMDgIDTv9wuu7YWLiDk+0yhgRNNo6NllKHwRNHS+463Yu2R40LrctJBn/zFOqV3qiPxn8B9ZMh7AZmHxQpwUlc879JLWgNv/QsiVbhiQeaZU/3yveVxCtphbYCgdWhhYQmguwZtHVyofAv8LK+WJ0vh1t3nlpfb5QtO5QJ48p38VNYjlU3SwrtpgiDkT3z2c+0hiv3bb73RPvThV9rG9mb7+le+3LYf3W4PATcPHm7EQrO2MtI+9ckn2r/9b/259lf+0l9sH3nhifbE6mi7cXGkPXHprL1047R97MWz9tGXT9tzTwKaZlDC6SPmtVLDx9ubWyjCx603M9l2dzejxGvR07tNtdPY7FIKCBUwst5t1QG+gjto43qlsh45pewodHeDGS6hs3RdXFlsSyvz7Wj/AHpSRwClg90HbWHqbnv+yZF26cJqu/H0i216/kqbXnqhXXnhT7XVtTX6ooM2S5/1xIWn2srsaluw/zh4ty3MVL3LQ3tazfAC5GwYQ553+1vtS3/4O+3FF1+GfyYATwdZo+ROdx1w1zq2/uhhdtBzaqZNXh4KOCcSQbsDCefOrbWFRdqrfG47Cz/aWVS7D+imsFrRdna32yPi3HwEPXcPMyV1qbfU5ueXMoU64N42B5+ljZNOBoEEFfRvApB410FC6vQ5aR72G2dteoY+W1kwsNjY3zl4VdttVxz2Ndmie8QyHVOHWpcO6T0A5YTVggTuzTlwoxPHsSK5s6kWpbOzg3wzMtIn7gP6gQPKDbDTumW/6owE+lbTtmtKvrgKpARzWt0zmGU7pVhhAftzwme6tOxTXRrhwkmkRyjKqLe8k1PIwPTvRWfblHViGxHQZeqzssb+jDBakUy7wBHRk4ehG7qhG7qh+0k36H7/mA5BozLqeo65hQUEgwt30cIVjumIEWwIt8eH9EXQKZxL0Wqu0fE5Pt01jxQk1eEPFEC8yl8AFddSzo1rjM9LAhmflp2cV4PC69QFFU4XD2ch+hHPznh/Rnjuz5xaw/OjfZQVfiPvUdYV4mTpBIBleKeiHxD3KQrPyCz5m0IAAWCaVqQZ5FSPDDulSitCDz/TpsZmUQin8eMDsFAWg5oKYRnMvwom+be45DuWDIuZ/xB+KJwZxUWoWV53kcqodMCJAk7ApJfGFV/RGiXSjRWcSkb0CkXXhRTAIg9efWa8fqPyoKBM2h64qefbCHlBgkLWq/mWzDzXuhRFH6U4dTAKXVXCyvoTZYZvxhDeAqviMuFhKSdl6SJBXggGrVtHcFUGHbXNyDChBXuzczNtttcjnPVNfi2/BSPDUSbIVCwWPM8IM8+ougAk13g4Ii/PPKYRYQPmVRwEhlyzdo3vVBzkYacgTU2jrnEf+luHKFpasCYok/cCnOyuCJ8LnlNI8x3+KdAhHWanZtrMFPwwPcN3WqkEUpYX7qTNHMFs+wCjg+PD1nftheCIq9YilUnBzGPrA1dBdDcqH0AigMEZhtLnGmXYcJZbnoFGtqVsmEFb0B+5OQDKutMdBTBSrKYrDfhS+hox19AH+nkfBQxFO1PwzAe0me7NZZ3M0tr5tnbxcrt45Vp74vqNduP6k+3pG0+1G/go8D3oMOv6wWl4xwEL8iMAJM/ypWuVZrJD3Fkp5+RX8OV0LNuRoEjgavtw4OOJ6wCB1Us5WHVpda39zpe+2N5884e0v9G2Oj+f+jg+O2wvPnOuff5TT7cnLs611dX59tTzH24f+sivtN7C5XY60WvfuznWDkbn2+LqlXZu7UK7cfWsPf/0Wbuw5jqjg7a+tQ1ocY2gvDEDj8m3LpY/bHv7ewEM1knoxbsCoU4h1VpSOwRK37297ba7s1kA6XG9aTEbhU+ddoeSTfncIGFhbgFakBaF1Rry8tPj7dzCWfhpbm6+Tc5faEdtHsB5se1sbrb1jddIGiB1eAuaLLclyv/o7nfb4d6ttjzvNOPK276gK3S1vWpZEHTT7x3029e/9fX2wksfMGBNneOZUzudjlcDWfAB5JdvLY9tTVAPVMj23KeAKYGS/pR2J7/JLwHufsjVtE5OBUdbbePRetvb3SVuelUPM56ab3MequxZVLOuTaJf5Tv5V5b0W9PlJ+0dnpkGxE6PwhdavOwHtTYJhOoctuke/S6gKOuDIiLsF+3XLE+t/aHkRHbIO/sm8txoE6f7pHnAN4Ad+lItMC3riQBMxO2z9KGkGcAFYHJjnzG8eRoDUNF1U688p9imPU4ZaT6EcRBJmUbS0p+/4gTr2bLSfgOabJPe+xHf6nkn2CogSHj7e9trmgRAzunB4UN+0b/6aWYtkM9JwKLfTdGfz0zTh9H3SfdKa+iGbuiGbuh+3CFq/vhOJSzrddwowZFTFKrOOhKrEJ4+O6nZgau40Nfb/5fH+Vr/HiiqrGXUcSBo8y0u9wpbfe4HfhAmyofCxFG+EUe0URzcxQzF5BiFReF/fHiGUtDa/h4K6j5Aqn/SDvZ4tjvSjnZQEPYa3/Buj2/3uT9wtNupYACpYxSaExVr1+xMFeA6BfABlyacgjc2hyI3Dy16CEMX7TsS7vk3tVNTyohUU/iX8oCQI9+lmNa7zkrmoaIuZh7n6pqYAoeDb6Cr4CCj6gISpLFhFLROPXPq3xT5cYejbF7AM9N2alrSJ/wIIM5NGcYRmtOCAISs05u0CgraVFxzxg95z/c8U8AX2NALsFTGqUgUCQWuCkMUAeJN/RM2FY63Ws03FZW64ib/SrEnjP+oPu+1JniejmlmFJhvywJkGfgIxeDUOC0HEUcxQHn3WzccUBnUUljfqoAIiCrPTh0sixBlIp96lTwV9ymUCafmSFPpnc1HTAPvrl5ZZ+R6t3gtivwR9whpl3qiQlTTzbQwqVQ79cqpMMani7UGL0BQoXTzAkfptegcDyw3Wk28dtYHgZdrhARNiYN3ljVxDMKWd4ondJaX0o7kWUEbgIH4D6HLYf8gCr6WBKIY5IsyJPc4q0sSW355hfJU2+zqDWdaxKv1K1uNmz9eWd+u6clgA62CqDJdbmFhoZ0/fzEHiU5l10BoTKUKEARAbgfuOU05Twlw4PqUleVl3hfAt6yWx+m6szO99oXPfaHdvnWnvfX66+0rv//ltrG53nZ3PXi0z/vpnMmzCMB+9vpqu7Q6187N99q73//d9q0v/z0U9LfbUy9/os1e+VjbPbrQDsefaU998E+1l1/6fLu4eq2dX5lpVy+etcvnT9tib7JdvrRE3i+hLAN6Z3vkpXalM29uTOA04m69XVdnXv0tEOnqKFtqAzCso/A79FaZdfMYghCPW8HThwisodHD+/fakxfG25Vzs21uCiDam6c+9trm+nfaw7tvtO9987fbV7/yz9v67kN4GcUdRf7R+u22CxhzgxPXflp/tQEOfUOUcwHDeHhCsOsgAxUJeNtob77xWnvyxpMJE8+fQD98JpC2gnnmNMLEQaa1APYFgcS9ugRQps1m6iTf67zKiw7UuMaszsuqw4utc/0sdT0/t9IWFy60c4sX2tLCapsBeE/yXAturL+waNfXRLYQb9oyfY0DO+NaxOmKtfD05qkPwIDtOoMa3AuUJmMpN1NaLN0MximFAtgDrlqDnNonYPKIBsNoaTuC5wQzZcHRUu6Ynms0HWTRCuMsbqqN/lQAYyPg3wDYVL8lzetdZ/HJJgrwT41PDGQWgQO68JIvxyhAO9ue/d40/VLOTaL8NXjDZ/gaIxyklbYs+OFCPzdKmhNTgCP7eADl9CztSVCphYvnQzd0Qzd0Q/eT7n3pHQVGgiSlAt1xlK0o4nTiUeaRKJkChc+OckqPKJJ0/goS9QS/Jnzd+t6LL31ONr3HGZ+KR3cf5RuXOPmnII+SiOBWgCoQ3Tr3+GinHR5uA4528YcAIkDR3mlA0f7OWdvePIrf2z6J393y917b2txpOx5quLMHUBJUOXKsdYl0nJaEEuji+ugOp5SvISlPUYTPZiiza1KkjSPggEfAkptJ1HqQaQQkCstjD82QoCmydJN+UWhU1ntRmGKJIkABpPIqKVlvEs89cbsWwrNvVEgU6B2QqdFUBTweoa6ypECONcr0BAsCI5T5orlkJz0Es0CsdrWD5oY1rzxLfrXcOOLJfcCE8SRN82c+K3wcZct31p3WNP5SZ1R8gYZSgDwXZX5hKXRKPRN3AGF4SkWJeJM331nHBFApIB9un+wUIUe/C8CRinRQifA3V5+pcBBNKV5RYKg9yu9otJakWi+kgum0FOr1zGlx1O0IgGe0dqubGLWOoQXaCLnhnVZD6tcNHKYBtU4Fox6ihOLkyyjLhwUscqZRrJsdwCmAJy10j/kZr2L9eEoe3wU44Q1jPflcJz2SG+kDvWp6khsuVHjDSanw7uP4K728S3zSinqT9hLc1zwPn+Y56QGIiLCmgfUBJjs7bePhg6wzun/XM3febu+8/Ua79c7Ndu/u3ba9tU3wU5Q0FF/oa5ruRKmFyENFVZ4FGVpQPERUF8BIGsvLqzlL6cgpXxTzV3/1L7Svf/1r7bd+65+2d955M2tpDCfwd6vrzR3a+uFBFMwpeH1udrTN9Sba+bWltoCyvb3+Trv/4AcAJXiaOjtpPeqiT/7fBJjPtuW55bY4uwRYmmqHW+u0agEcoIV3Tq/0TCfb5fgUv/G2O3kQEj120lGvs77kUOlvOMtunVlX9gluDz83twhtVYBd6yOdocv0eLtxqfoP25BgwcGoHiB+5dwUAJS/pEPa0GUcDX2/v5k04Op2eHTa1recLuagDoD4GBABX1ffSJ4zaKGyPdVm4NU96Gae186dT/8R3iGPXuUpt8vvA64F8Q4C+I3x2TdMLfTa/MoS/A49z6wnebb4VScvdX2NVlyB0cLiAjSttU0ZGIA8BheMpVyWJE1HUFT5oIq5zyfpz6amzf8AjNB2Z+cdkBC8jNVgx0w36AFvzUI/wtcB4JZdCzMAaAIwNNYn0n3K6yYxpi9wAiw5nS/WJ73fmK7W8+orxwEZTkseJ06n1T2e8hcgRF7t+uh/Ath4ZhyCZh7GemQ5Mp2Y+KtvGvRRPINUpO9v64tyuKbKfhv6IW6I2zbOe/tV8uyUOvszn8NloZPf2c4yZTEWcjdAcSCCZ8Q1dEM3dEM3dD/p3pfe0elWGWGnN34MZnItRcuRLKel+I5+nGdKhFIccu97BEZN04omxjOnbZWQVUxG6eP7UuZOYiFw+9ds19ocua6R8FIsS1Gp+fM1OujibBdp15SXI8AOYGj3EKXuqO1snKIwHbetjeO2ife6teGc++326OGjHNK4s7kBUNpuB32UwX2AFQqui9z7/Z14F4M7leYI4HRy4gg6eT1Byp0hrfCoaVydXlU+I7BjKt9TCEbPPxJ8lOKpky5aOVQ+BFSTKmNR1lV2IW8UfAGRHqWeq2s7EhYFKtuZRxmxKpyWUsI9SgTZyojjBIAJHamm5flMgT4GLSGeacgdCGnrwfTGqOcxFAKnxWlNsd4UzqVkcSHvApbyvvS7Eu7mI6Ovxp36VPirIKoM+Yz33Ef5QOFwJzLLrJLeKZIqSAI18yKV4vlPvjGP8SgJHkKp9cgFyoLCbFtO+RxptVyZqpc8qbA4oqzlTXo6Sgs9VdRDR60ClJk6GnGDDqdSnlJ+gNL4CLRGgdWaMWodU+f5I59aFbLFdXdmEhqd/N9ZWZzW6WYLrmlxWpJbcAtmVJ6dalVrVgQGTlcanHsEv2dHO8HIiRYb3guu8LEeEUesh/HyDHkclCftUkLZJmg7bhF9GlqTX+ts8N6R6oDgVBbvbGsBcU7LKwuUPlP1yKtpZipZwBqqHvEf896F4KcuKndBvlO6yKvTS82fC/5n5t1R0sEAWgU0Nj0HLSyL8XblIROZwtY/2G+3AVi3798n/6390i//yfbqD3/Y/uUXf4tvVGZVWGtQQAC6z/f7pK0FS/BJz4ASPtMWAWEX11bbhbXltrq8Ah+cEc/v5jyhN177anv7zS+248MN+o4T8tXLpgRLc7Nt7KzfXn/t7YDgyXHAHWnNzC602d5itsj2twBa66K0tM+SNwWg6RMOncZYNLNMPnfwQwAjn8njDjJpZRYsndB3jMBfr7/xdjs62AKEH7TeLCAC5p0YIwyNd+JstJ1bFsA0wN9kW56dbU78Ve8+hlecXjoCsN/ZO2p31w/gwwl7Seh1Sr9VhwKbT9M2T/KovGv/++6777T5BXeMVLF2wMDGQ33IQzh5QCd9ejOeE0dbIE9TlN+1ZN2mH1ljNQA6dsgOf9knef6YFr7FpcXsNHj+4sW2srIaQKaV363a+9sAXNvx7nYGDxxMEThqdVLBd+2N1pua7uuatFHaG2Cgp6XEvhSw4nMtR7Rxw03NOPDhvTILfnd7bqfpzfKdB7tOCTCO4UcHe0gTuo+OOt3OZ2V1tk+036qpb9WROh13ugdvEAdFS/x5ZX/L1X6H7POc/iZx2E9U/6M7o63U1GMtWAK2olUsZaZrGZP/Ajg1eEN9GZd9NuUzLvtOedq+PNP7fGd+qbtYiwCGk/DK9CxgGFBqmxBwDd3QDd3QDd1Puuqh/5jOEfJaeF6m/1iLELhaDgQ3/tHzK4ZzFSVlF7MAIn8O3vGjG3VV4SqvMuhuQZ7XsouytInQf9R2+g/b9q7+Xtvmfnd/a6A8ojDyTRa8e7aLawR4RpJRRI8BMPv7vNsFIO3sA3z2AUN7bXf9sO0+OmwbD/fa5qN+23iw2zYebbWHDzfa3fsP2v0Hd9vWw9s8u9MeAZg2NzZz0v7mxnrb2iRP2wClPRQT4u3vohj1x9rxPkrJ/ng7PkDwH7jQfBxhOIHSOR7wdHoqcFJ6IvAyhU3FHDUHpUVBrMBzZLCAkOs2UIJQqARJtSbD6Xd+o9UCpZx3jsa7NiY7rzm9ZFIlTHABna1tBLFCOuAAKZ4pegjbTM8jLFVGGmUBUqhHMQJ2CGzKSiWgU4Gu0Unr0zhMz2l9Fa95LyBW5w0Zbwn6AmoFyMZQUiyko98qBH5jWeYXVhDcNU0nYIhrjdjKV8Zh+AEv4VSBgRYoYoIF6nZ/Xy0u+QygUlkZlN/yJV8oUNI3I61RplS4UKwECCmnViDBrBt7yNMCXD6k3s6OieSUfKtHkXc3HLDutB45vSUACW1NoCLoUPGUlx0hz7ba5C9T5vit4tzt5JeRduisYunWye7u5X3O7EFJdOc0AcljxZPwKlqWUZqkQP6moDxJXnLPs7SprB2BVrSH7jDUACecYWx/NlXDmh+B2YH5PSQfpG+eYxFw4MH8e594HWGXDgXAbIeHgj0im0Sxn5tfIIWRtrGxkQNlTT9TTuG5PgBK4CAY9boHbTZ2tnm+327efre98+BOu7/xkOe7bW1lpT37zDNpv7/5m78RWiXvpD0pn/BzboZ4KfPOXj8j527O0t/dpVBOIaXtQCuV9Nm5Kfhypi0veOj0McrnaJtFWbTOBLPjKKG9mak2Nz0FSNlpb739brt3/1F4Q3AzHasu7VHrIt9ko5iuOw0tvZAnaS+d7Mugm0BKvrR/dJOPtEEYVD9BfJkSB5+9/upb7Rvf+C5s5vbociFKL9+cAoxc62gdLUPWhd5Yu36+11btB4jXqZpuSnN8tNeOtvvttbfom/ryWg3qSLFBNYfeAkofFA+W1d2m5VbsWuwShvx3A1gCLRV0gbvTKC1LdoC074du7vJo+Y1LHs1GH4M4jNs6t99amF9pS4sroeEkirpTJjMTgU7HXSCzhhP69GbnMu3S/s40Mt02/RdtmD5lYkKrDX76mDoVLJIf2rRAaAag5AyCCqslxX6Efin9D4BDYAPomJnRquLAgAM3gljLRX7dKAYurgEmwYr1Kb/R9m1q8tKg/NNzyMBpO5Tqx9LHDvodQQrV/t5zOyH5QjQ72KQjViCAGUWM7/rO6mdPaS/ypLzL+6yDpK+1vzZJosvBs/Rj9nVWwaQ0GACyTGG1T3cKtZYjyjsLUJrsUW+Ue+iGbuiGbuh+0r0v23z/09/7r+n0FTB0wipK9NhalBRKCmMFY7ceojwfDUYhkRp5xg3XUuh8psD2cMx9lJNDhH2f6573KowqeBHojrK72xZK2pFzuT0vZToKrNuhtmOEqYosSSU8SoIjp0fH/XaEAua6pN09d2zab/s7B+1gx62IUU73uAJ0vGoxUllzR6ljwrtw+cDRfBRHD3fs72+2/cOdivNEC5KLfEsZOiEPp0dOx3N3Myc8OBWLMvJ3ytUpeZbZ8iLmBrQxv9JGLy1LIXM76UzTQmCqCEUh07oRmgtOSjkngtBQQBOhLpjA15UoEf7coYgRH+HKklXxWE+1jkJFwaj8nnwqyP1tHer98zfPVc79JiCXLDvarBJVeah0a9tZ4uA7YiQt3pkecUkHR53L2jPW5gBHvd5yFMnKt+Uzb/riJ7QB7ikMP8IvcTVV7ADFWIvGiIoUrwKQkkeVC8vNvVe0kGw+gRKhoiPA06J3Cp21gpyGb8jfCV5QKzDCA/fgL8pxouJbU6WsL3JK/AAjR8fR1LTijWbk3XACjrNYRrR4yIdROAOaymqSqXbyNdco1CqXeV4gSnDjVM6qiCqxN6GzZQtPCIyd8oQCjxLq4ckCD8M4SJGzp5KGCiu/yUPWoPA+libr0PxSHtM+gJddsyRdi5byggDOPKt0uymHo9UqvVOkhbI5O4ti3Yty7ToidzRbwgtwtaDtbG+3O7dutocPH2Sxv2u+lpdW2sryapvtzQUA1g5+R1GKBQXmb0WLD1c37PjWt78Zi63KnxkQmE+hFTow0FndzL/fHdE3LE239sSVeeplhvzb9aAwuk3/+Gnb2jlpb7610Z68vtieuTDXhDkjTnmbmmunB4eEm2r3Huy1jYOzWKCeee75gF/XR5WlzvVChncKrTSE1rIkCVm/sXqn3kzXOlDpJteE6/hb3o7VifIcC6SOTtu/+Of/sv3w9bfbTG/exZDtifNzaVcn8Nw04DIA+Wi7rS6etstLgD/ioJb4g08Jo6K/s3HcvvTN2217H34iTWmS5kM+qo+hTgd1bn6rfxmE4/ci9Safei+/+E7w2U0JngI8Wman/mUDk4nJdm51rZ1fWwuti68sn2WtdmrcTp8UKD98eL89fPCg7e7s0I8eZtqp/GiX6MYIDnjYX9GqSZt39CM+sz8RrJTlBCBAGjnLzOln8gvPMjDkgMegLmzzDoqcZdcdwEgGgeRpB2UA8gAFrdrx6SsFLJSX//TWU6aHc01HZ4uiH7JrDOgRlExSn4KvwfeS1WL7iXTQSQf7lZEzPuB7ZxtId1gX7yYKDs7A94YnAgdfbHfd7AHLFZAv+DHuLow0CT+ZSOVB0GVZAioBW7FgESCHpnutCNpf/nP/m+Ttp7nhNt9DN3RD97Pm3heA9Ot/8DeQnQoPO3OEQwQK93bWEc10xgpvBXBENA5B6J0j2RE2dPQq7W53W6fU77TtPuDDkdBTp9IpKFUcFWLV0ScuhRUayejpJO8QyqfTKA4ocoKjk0rTLXgDWPBOzTs41LLkNJQ+oAuAtAsQAwjFsoTvuz5pX3DkBg8IbrzT8jwzZs/pdPi9/i6/t5PPQ4Cc00Cy+YNKJYJeYR/l+oj0XbPkqC7A7Yx78+bI9in5c2qWi7RVsYtOKizc8kRFpKZ4lXD2mYJzYnJGSRt6qyRIa0duXRPAR0WbjDwSB/c14sozfmf7b2uL3xnNBlw5Ah6aqswkLfOgwkSSKlv5jqgHFpUIbuP1GVfrTiVKYZzd7VQUeW6aKgfJDlGpTE6g3JlmN4peirppTbTZuWXA0RJxoHg5WizwIkxNHSO8FLC6c8dVpQ0XJY+n2XSAekr+IZd0ifKiwgSdnIYY5cm4Vaqkmc9U8AbTHd3l8DjWvQJFx4fcHxPZ0SR1NU49QpLgOUfJeYQCbhlUMpPf1I/5R+Mhz7pYj1xLA19rDcr0M/g4gAiFUZCkF/wHIEUh7d7hSciwsTZRZIGFV4qcMhYfOMJeIEWw4uG2U/xOe+R9WTBMGwAiQEoagi+BhPVd3lZ5fCIv78dqZHtLXeNDdyvdtku7tRYSL/ksEGVFy13mrSxLNk/jFQBYLq1fWoN2nTrFvXmdn18I7bZ3eKZyTlnlcwGceRUwbW5tZ8rc9PRsu/XuTXjCctWgQHGD2SLvKvTyLr/lL5oW8QIwLs621eV54qAUpEVmG3pxc4bR2+8+bM8/Od+We4CPSXfku0T5yZtFpY7fuvWoHY0B/GZ77YXnX2jTM1o1nBInP0Nv8iRAspz2N7aHgCP+QjPSsX6sMnnAuouyTTjuci/t0mfQHdqP/NZv/WZbX99JOtub2+RttC0ADv3Y/M9M9jQGt9npozZnPY87vRCgdXSW3RDXH/Tbb33ldnvnkX1nAd5BcxmkS9lILPfGad6hZeoQZ5sSBAt0fdaBPw8N7qz78r28rtXa750uefnS5XbtiSttYQlQnG+IX4+z/gW+W1ub7cHDu1w36GM7K+VhgNO+O/xl2vQ+dbVDeHjidI/fNZVSYtqWnTqXdgw/uhOn08YmpgEX9jd4gYb9YfWBBaZqvZH9WJXzVDAEQCqwJO/y27ZABB097CdtHw5+pG8EvdkeXB8U5uISkAYfOc0PClWbyWCMQMR+z+uAF/ieFPnOPsYnAjz4GPDiGiXL4ICYtDaPBZYE4sqB6s/Ml2UwDXnJvGbjHMmcBldltg+PvKB8Wu+TT37bOCJ1B9/+G3/23wplf5obAqShG7qh+1lz748F6ff/Bp25Ci9CiA7XEUAVs1geFAHKBYSCypdKTydcVfROT1Ua91Ec3HFMpdHDC1Gg9rXKqEw4Llpx6BSyGbYjLgWI8cbylI0RAEkor1ptapRfheSEeEjziDRVRD27hPhNw/VI7r7keiQBkEpRzhxxmorbf6PAZYtwnqm0HLoNs1swA4KOiEfB7jbiridxSp9hjg5PEtfBvrvi4d3YAdl+eIjoBBwdH6isoAyRz1KcS6mTHvxXVgKEL5TKvH4VRxVBCaDwViEUNHV0DYBAiAqiMtLJQ265CjqIU0GJQFS9jQ6QR4Yti5RTemJFQnAqiBWdsTxJb/9LGn5IDJ3QDbgiLygoGRFXEeZPwd2dVxSrDULf/GQTCQW815TpPQuTW4OrJszMLLbJqTnCArCc7gbAmAYIuq5qkjwKADNa6neUwZF2z5JRS3RaTgBqfz/vyAYKY9Eh5SIvtU26yo2KhfeWoUZr64DYSfQd+EeAdAg4OgasH2gtEhQR/wFp7lNnh/CSFkt81spQdoGAlSHPazlSmYlCTJ0GCA0AkIdfqjxl9D8qSqidZ2acKCij/Cx3WwH6UmTSZuCTAoUClKoXaWKwnBdEfWgJMw9ajjJyTJ0FbGk9lUf3q53Fomq9EYdxSZdYuU4cyR9YugxjmvyZKUFfwDq0E1iVtcewBeYEd57zo6K7u73V+ns7ZjWgzfq0yDvbm+3uvduZmmq9LczNp+5sox4euyNIIt6sI6I9be/uZcDE9vjUjRvtzTffLODlH3HHMghvBvDxZ/9gnVf53JBgqrmxAJ1Nu7AyQ1z0OXx7OsJ780sezy+ftaX50+z0Njt3Cd6Zbkf9HWh70vo7++21W+vtFIC09XADIPVMWz23CijSYoTiOgDDli98bzuhjuyZCoAUOLIdCzjsI6w376t+q310IFuAuLGx2W6+fbO99dbN7JjnRguP1gFJC06fle58Rhxzs3NtZnyeZ4AzwT594fGBgzvH7WvffdC+d3OLvmXAX6QDueoeGnmf1Ac8VG3Ddu7T4i3DuF5IvtJiNr+43JbOrcUy6fljtRMdAAka9Hi2vLTaXvzAi+3pZ55us73ZxFuWF6hhX0K6sZRSn+7caL8jr+24ucfWettcfwQY3CD/u8CMA/K+x3WX+nKzFekkcJCeo/CUfRjx2sa5d31OLCT81grkNMD0VYAD+wG9DJgi8l/aH+8jX9IX2O64Dy1IhHehCfWWDWYsBxQTuJgJLVla6pxWaxuj+dV3gpasI6o0fZaBpwFdE8ZDYc8cJLNOBJmVx9ppj/j4OG075XXgozaCCQ3Ik34Sn4Er65KimEWSSZ1acf52QMyBBFgD35WLknMJj3LV4vWrf+av+NVPdUOANHRDN3Q/a+59AUj/7Pf/ZnpmO/WM9CMcVFAUYCqIJRxUxBRIKnsnEZCOJrvOwbUWrhfSsiMoUtkZdPV1jdBCiBBxJ2ii3CEd3S3M52gwETynTmVDgVD/yJQ6R+5V4gAxnvVxQjqmJbDxWYGi8oaNFYKPVWBqKhGKlEBGBZBnWeNEHgVyKm0CqOMBKCogdQoocqrXadvdO0ZJPG57u56B4jviALwFPA0U7SZg4vujALhSvF3IrhKnMBYcqVyoaDjlyGunpEoTnXR3tDQClHfZWhtBOKGQFezwPcGVipKy4kDwu0A8I5PeJ25pLe1VDoyYow/3AAD/9ElEQVRDACP5SW8gfaV+hLRKIYqdwY3aF4ISFZNYfwifqXf4Gg0dXPkdHsm9SkKtR5kFIKnMyjMq+bPZLawU65SXvHR+gvyYr6NYUlRUzqDtPrnmPd+TFEqHeYAm5oOyZfSVq3k3/c4qlamLo+7PO01eBNgTAUhHB6RxIlgCzFJHTtm0vrUoZsQ7a2cE+AOlnLjMq9a47GpHPqWV76Oswz9Resif4WpTE0NIO+lcYWwvgpJu1D9tJm1IEvOfBeefCp63phNgSpy1hXKBI39HHyL6rB+CP08AL4IP4+bT5Cfx8l9ZmAQ5hCPdtBt4XPCjQikdc9AtdWIdqFj6TeUhpajn1IV0kYPdpWx19XxbXlmOlcHwnvHUB0C5HnBmugd9ztrDjYdRkncBK5ZVa5ODDk5tNS7pNNubp2yTWcfUARKVWstBwslzwpKX5N+2Sxqj5NMwd9Z32sL0WFuem2xHcKwKvmqyoHpy3POFptvK8tXWm1nN9NtJeYt4vv69d9rW8UzrzS219fsP2rWLF9v5Sxfb3NxC2qZnNwkiAohJL20mYKfapxZV3+tqumRyTB1amyrP4ymr5bHfsZ+5ffPd9uYP32xvv/NuwJ0DIo/2jtrW9m5bneu1adqX/LcFyHR91db6JvVLvwTv3r2/337/O3fbD27tAC7sF6EL+ZKnkiz35iB8Q72Gd20f5DX1DH9Kw7JMj8RqnoNjd3bb9tZWphZLF6c1Vh8/Hr5wi/vV1XPt+Reeb5euXIYHbVcyhunYl6SXSHvQW0773v29fkCzh8b2XXsGDzid1OmP4NRsJFN5ta3SduljzKOgIlZufgvSumMJYjGlhJlaKn/Y/9knmJfkIzlKOzpxCp90oS7c9MFpifaXti5afMJWm64BKglnHviUMliX9qv2L36r1Yg2FzraE0GbQT8U0EwaAuHOWu/6U8/TszyulXPKXPpO4rKvqrIKjpw26zl7VTfVr/qe7JCO9UflVp/PdxQATxF8h9eydJa1SZbfAhjcAYbUBr+P2p//U/92fv00NwRIQzd0Q/ez5t4XgPQbX/nv6PSry42AsvPWRyjTKfPPnlnhUcKFR/h8gndhvWt73M0s54sgPF0vYYBSOril41dR6tIpwe6aj9kIvGx6cEL87h7n6L5AB69ieEzcHoypcD846rd9vAvPHW09BNSoDD4GQwjnTqE1sxlxjTJaiq55jNLL+1iAVJJJL6fDZ0Sd+FCmtSQdqbQAlg5dz9Q/brvbBwFOTrs7dBpfX4AGmNJaFfDklCLiJD7BHeo8Mk2BhwAd0TrgFLcS9lG2B0pH5ptDF0fSpY+KQzx5Vgk02IBsRKUyhPKC9FYIe3UzAmlpOTOKjLOepLfKvmGMwLgFaQrq/BFxvNIap3BXIXTKSgQ9ccoHKgUBJMaFQhHeyBdlxREgOe3OuKfJS9bOCDTU8HHmXYXar6IUmTfSDYiQ5oBb+UGlLQu0M6XE0VgVDtO1nPAf6QcgUcZcR1T2Ue5GXLs2SVwouUco0Cia2c7d86+svz71sw+YRylVmbWOyxLqVfoDUFyXkhH1GZQapy4OBgQGBXjcPjr6qkIJMOAlAbf8GsVe3iPS8GDHZ/Bm7RQnz5EXQQzvujYgrTOtDu9aEDfrSD2RVm2oUG1BcJQpaOaK/CRvuCh7lAUiED8AinzFehTet17dEIT4idd1PuE70natlpakLiLLIjDygQrrzMx0683OhyeklbSzbJbVtXqH0PHR5npb39ygPdbOa6ZpuXRws9kMH166dCXrVXz/uG0KuKyDwTfSVvro7Gui/5GXAqwT7fb9zXZudqLNw848bWN8M0f/sbq00qbG5+Graep6t005xYt437q53n54q9/mV69APwDKxmY7v7bannv+uVhTenOANhRx66AGGVR+zXPlIwMF8KADCR2P2n5rXZiDG/KECvIUdWO+BZen7e0332o//MGrASfSVMvfBPy73W/t5t0deNLBGcvd2l7/CBoetzduH7avvfqgfevtzXZ/g7SMjfTchnphoUcagH3S6GhV+Rx46CbI9pvQVur4O7xS/D1NOWzXKtcOOB3Aj4IcNxxxUMZNFVTmp3szAKWVx2uQpEtAgzxjzKSt1VHwuw3o0qImEJiZ6bWZSQ/ihiK0+/Gx0zbhjnDuvEbeA4K0rkA2gYSKv32Bbd0d2TwWQIBktWvdzvQ74hHwaEUKQExfJe/K+9XG3KkxoIP+4vTEaXzSJjnNNWlKHxLO4A7XgFz+QbmUy/4vFhrSqb6GTJx50GxZp87cvIXCyMdyACQgbeuf+AKQHDQhD64/CvipfrH6L6f+kge+U7amHyMfxhUQZPsDjP1RIEi6xKuHtDXdmORiceJdDW4c8UyaHLd//Vf+HQv8U90QIA3d0A3dz5p7XwDSP//Dv8n/JWxV1KOc01ErE/Pbzh1lvIRkCSjDqywdA1xKqfEbhAvCwOcqP5FCajkEL6Hl1dhUup1mgGJPeONDPCEseO9nRKeCky2GtQ5xddTaKTt7gKX9fZQMFLJYBHh/EIuQI4J8jPQq5ZN4+C9TjLjq40wE50LXKOgoDBn1Rvlw2lfWjOgFPYdaHrgOAJBrk7QeHe/huR4Bko77KAwo4lqQDH8IuHJKjWslnCboWiU3c1DwCoCKGFBxILQVdpZeJVZFpWimcO/8QLgTXtoJjgidq89VXkrgOvKZkuEJqyLBfaWDN5yKxEDxtl59H8VwoESoCLv2RYXHAxBrIwbCKOCR0jWP37gV9LyL8qSy6Px670fbLArr9Pg0MVMOy2YyOHnCrEXRgc5+H5CCoijNTKsAWo3EakGJ0kG59JYzgBAglg0f3Gp9xN3AUMpOpqmbAkaH+2MAV8HRSA4RFtgeaX0hnZx3JS+EBcyYyrfpOq2tFOWUiz/poZOv9B3YkKesoYBreCLbW6cMWlPhDy2SgGOtqgFLhE+ZuapYRrnhe9Pp1ntFMR1YjlTY9daRipxAx81ObA9abRMfeRlUX+gqiOIF6QrEnAZYirprafwT8Lmls4pogY1an2KeiRj6HBRoG3iVtrPT44DimSkU31nPCZIHytKjUr2p1WBvp23vbrcDaLCLsixlnMolXc1LeXe488DdKcJsUW75BBrLrJQl/Qzxdm3U5/KkZXCjDq0oKv0Wd+9wpL19bzsDExPOvwV4HO2T9vZO29rcogdpbYa4tzb67be+/lr7+g8etv7ZWKb+HdB/LC6uQrMRANKz7cKlywCkhdDddhFr6uDPMloX1ov8Ib0FhfZp8kXaG/F479W8WpfWlf3J+vp6++Y3vgVvnITm8t2HXvlg+8zPfbytLK22/vFUe+1Ov/3g7Y32+u3d9ubdw/YOed5xMwbigtDwyAn9RVl5nP4rzcODvh6kq6urgEiAJ9B3+q4cWjymt+6mKIsME6sGYVXizW8sp/TDsfpSz1efeKJdvXYlh/R2U00rvUGa1JH9a6ba0R8KlGqq5nHb29lpm7tb8NU+8bU226NvHz9G0a+zm9wUYhovaMkAB4BhchogDhgL/WEJAYf9nn1JBkl45lRj07ZU6efO4Av7DurJ/GhpFjzIs2ax8mm+pZUAS56jv5D36Mc6K6l1Xe0ckNVtgkCeag0TAETLTfqeAsT8w8mn3Jw5BdZ+2361aF3bxBuevpTy1OHc9o32W4ap+OW3tG9TTls2TfLA+wCnWMIMP6BF1kARjrJkEwo+dCBEumi5/rO/8lfN2E91Q4A0dEM3dD9r7n3apOG/Uc5EEVUI2HlP2cEjoKO0lCjJ/xm14xuFjGt5FLJlhVDQEEpBaogohe5Y5H115D5TGLgVs9PDFOqlsJHOieH4NhsjOOpaIMXNFvZRcJ2Ssn+oBQBl7sB1Qyh2COg6eLLyobAhJSFc0qxLXXWlgJG7QZmSL64G8ctu2+YagS/h5f0JYEdhHGVUXVRgpmULQOT0rcPBNDt0Bq4o1d5TBmeAuMuRUzmgKt9TTp4p5PhPOcjF/KqoK8w7+tV7s6iSWkqkwhOhr3IzeKYsLcGtcoHgp+5CAYtm/NRJgBnhM5ef38Ze3/mOe595r+KEsuhZJZ6VpGDPdDOBGO+Mw+9MwbyNA4I884XaJH2VD0dNVcRmSNswBA3aHdCdNPKtjnvpqRXCd1GGUQZyVghxuMuXi9tDiyg/pCFAG52idLMADwo64o5mBY4OD8bghVEAyzj36M37ZeFzumPqiYpxWhEfJwdRYFDYVCbdwczDQ+t8FrdtLjpFITO8gEY+8QdOS41rfTKF7Hi/ecbPfqaY6l2srnXTdW5aCAokmLDgphQh4rY+zIOKKZqk676cxiUwmp5AgYQG1qXKtiPFmTpHfI78W4ZjnguAoqjyzDxmLRFhk0fbAXwlL1hWQYAApQOZAg5pf0z+ndp4apsyz5TJ3xQSWsy2ucWVHDi64BS7mZnUg9X68MGd9nDjEbx+mO3xNzYfkfZxLHDm1bOPnBYmQFQhPLe62tYfPuQZ/QfvpUPyyZ/0SDszzwMaZ1fEuGobKtOpAz6DDO3dh64r2mgPHu20uw89x4z+ArDn2p0/+M6t9utfea29eWenTc7OtyevXm9PX7/elgBDqwurObz4yvWr7doT19vCwiK0LmBcdTNoK/w2J9azLCxvmz/5XxpKb9uj1mi+isIrYQSDWsRuvvFm++a3vpPd3RY8u+nihXblyuX28U9+sn3g5ZfbBz/0wfb0U9fbyy99oC2trrRtaC/I1BJvWzNWC2tbtW0YZ7bSTx5JyqbEb8nV5cn8SD/XhXYDGB7e60Gu2dyEsmVatP0k4eQfq6EAkG1hvK2eP9eefPrpdvny5ew2mHYnvw5AdbXVAia54o1zd88jFdbb3XvwxYP7ANh92tdoW1yYaQtL0BagoXIvUFG7zwDNGHUbUCJ49qwx8gEda6oZ77wn/a4PkcD2NW6Io8uMAYCZpCK6xKuMEbCEvfgvFpu8RA7Z3uRfd7m0TUI7wxUgckqfZfXe8NJF+WTc5CX0lA6JmPZVcqs2j6BspJ2z6/hGOtmXGk/AUfpQ+cpPqz26a6m8rzyUvwN6iJqmybekA12rjr1qRez6avkBehBPBAnfulHFn/2lf5f7n+6GAGnohm7oftbc+7MG6Q/+ZjpxFTOngU2pJCjE9BGKKDoDwZERagQ2D5VNdOw1EqbwUGBHiPBP9awEVQLlneqp0cxMz6FIe2YIIEyLAIKP7l9VG+GAJ3AWfg/AhtsVZ/MFlFCVslr3hEKIV+A7GqjwFrRl1J37Spb/B/nulC+dt74PmIjKDDBCGHVhoqzpUQQCmPJOhcBwBOA/9BB8KRpaj7KJxBECLHl2JyviPkaJOvbQWfJH2FF3ThP8kUdJeJYBfBUW7qGjFFD4KTADfKAl8rQyq6M8eY4krVFJBa9XFY8fVSYMyrcRxjVCrOIQwEFcgi7X7pTwnki8HiI7M1OHaDqdRMueXqtRRqETzu9LiXAnPtSD1H3ltcUiaBpJnz9KyZ15skz+X8qGioybZPhxxWv5SxlxGpjTcVQ6o5QAjNyAoZ2505YWI6fTTUFklJETFPID1xy5WBxwRJQHeK19h06/3HdaGrQnB9lKV3oJzimTAGAWBXp2Rt/Lov2y6JRC8xgkSXsznzqDB6k4NwbZ7+9mq+O9/l7W3uj38K5vqnVCxU+hl98bjzkxTuIyDdMKSMN3U+wceS6FCjrKZ/CHZYhSh4tSGn5SOdVaJO/xm2fyZ1m7oLTfkl7WgdGuYzkc1GN4HTCVAQ7bEfFo5egUX78VKLi727TWI0Cc7TzAgDy4vfDefj9raHb2tpPe/NxcwpgH0zIur+eWV+Tqtre7R7lp+zPUI2QwndCG+2pj1pKRy/MFYOUh40w92Eg6MvL/4clou7e5324+2m/ff3ezvXp7t331tYft9sZJu3b9qfbZn//59qd/8U+2T/7cp9r160/kHKrdvX3yu9deePGF9vSzz8Jf0AX62GdVfRQQ0Fn/2QY7ZSc9eEm62BYERrar1CfOvKd/JK/bW9vt63/w1fbqD34IAJtv5xcX27WrV9uzLz7f1i5dADQst978Urtw6VK7iH/ppZfaJz7+sXb18sXWm+0BRHvJh2eBBQAP6iO0Ip9aeeYAPk8+9VRbWV5KO5GmtisCBoRYFvtT1zetb2y0HafCASCtt/S5vI/ST5zynlaVublZQOMT7SkA0rVrV9vMrAp/AStLGWBvPZCGoEhLqes2HQhI/virgSWnvBFfb7Ytz/WgwSwgsddORumr6fAIRTy1scHEFLwfixJ5cj4ezwUssZx0/Z79YUhL+nCSKQnGlQGudXIQod7LKw6yFN/Y79QAj/kG9I8e0w/ah8CbZ7V50ATpuJZNUKK1ugNUGewZgMqO/8pb5/CIh4VzX+Er7fCR/TLfdm2720CnZl8Y1nIZn3HQGGxPfF9xCNbwhHFgZZS+PIfbUr8ObmUXv9DDVl2WP3+eUZZ/7Rf/t9z9dDcESEM3dEP3s+beHwvSV/8WHS6CgR446x8iQOu362BUYhQ2CkB3q8s8d3vrSCYiIICddlmTfKArJe09wKSAcU44yuCkp7dPZ9cppUOU0AhZxQ+3jsSCMgQd2UhBSxHC2PVGjrKqLGZLZQESwvIxoCGOjDRHoptuCTafWx6d90mIHGXr8U4B4Umn1HbxKWQNU+CphL9lN4p6XspoKbGCOhTYIygBEHKke+QQpZLf2cBB8CSg4rm/DeuUPKfvSU7Xbvmdyebw0lDCHKjokhYZVAmLJWcguL1amNCP4lnsFF2a+4jwgiEV5BqN5V/icfRzIMhVIhDmUzOz1EuPsChM/PbbgBSBEnFE6QoII85YmFQctTCWout0D3eTM15/S5cu9+W8r2vW1KCca20yHpV6kqEIxqFCX4qMo70jpy4gn6VggKNT/Amg7GgKWk4Sh+DIM7NGAUbQ3ymOgKPQVK8OQqIBmvICV89WcTOJrDVCgdFyJE9m2osaymNX1lJBSLbplucOD9rOrlvE9wfbxfdJdx9gtBu+lPrGkbOkolxWHQU0QvfwT3itlEDr0qlNNb2upjlNkA/eUtZK8/HaOuhcI/ZHUVBrIIBnvMt7rUxcjwmTaaPWi+lT7vCAcVtO7vmQeAFX+KwbhE623WwywPeHxGV+PcNneXm5LeF78IcK/CxA0p21+pT5zq1328bmespjXq3HUI4yWibTNs5taGbda+3Nmj/Syig7f8m/GSCsXt7RdeXunD2Mldnxl2DagzMXZhdyGGn/8LBdOH+h/dW/8lfan/7lX2of/9gn242nn2nL588FDL76jW+0W3fvUB7PbFpu5y9cbIvcSxNpo7PurC+VW8Gy64/Mp/VnG/dcKMth+9Hi486COuvZupXeTvd7+/U3896NEQ7gkQ+88kHy8nRbWFpKetJ4CgBSm0PIKxPtyuXL7cqVK+FR0xJoawX0cNxrT1xDSZ5Ivud6ACjyJu9JSytP2rid98LCQvrU6lO0Ak4BThZjIbUMklnuykwB0hEIpE3S97gWaO38GuDyaurcdiGdpUm1C9u4bcIBodqhMDTg3rVnAuBMQ7Td5ztBB33IpH3+aJt3V7z0QSj3A3CkxTZr7iiPAwP2p5AQGgzkhqkqfLjNmUX8dmOXWD1PbQe2OehOtB346PKaASTX8YzKW24cdMQzweG0PRBl0TJpHh0EooyCJPs7nkGgpF8DSvaDxg3lAnacwmjbduDI9l1860Hghs3UQb4vutW1+gE+M87k07LZxswbZQUIlQxVztjWHZDU+lrWo27qn23a8rqDo9t+54uRo/ZnPj8ESEM3dEM3dD/u3h8L0lf+hn03yqlrSBDcURYRDvzV4u8KFxU3I1jKhFImFOLxdOpu/xqnVmrnnQ5d4aXQQBlEIZicmOXbErwKDjt5u3rUAj5BaKj4qaihfDiq7WYJru1w++GMXA4Es3Pena5TYIb0zBppmWZAEs99HNDDc9/pSnmvZ49HrXGVVYAUAbt3AVDG5Z+/+c6IiCLh4xHcPlY5VHlwc4YAHc9I0kIESXLIrGcp8fsQJd5zEwOkDnxGXgBOzpg4PhA4SXMTGCculUrKicKDaIVeCGbuYvXhar7MsII5meJ3p2BG0QuIIbwjmBHShIuA9rcgSIuJ06/mUaIWCF8LiqMc6OWBKAlFt6rHSQR6KQfSpKbyJdpYnBwtHRAm+fFffc9PfICvfMJ7twUvkFUA1g0XxkYBQ6cz+CmINA1RvBcgoXBzFRwdH0xCXwC7mzFAVy1HWful5ehQy+MANCdez3ep9RXz80uttzDfevMeOjoHAJgFmJSSGsVb+pjr8BOAizq1/lX+o/CimHmmVs7TOui3vmvj4MtulN8SSyO9rhSjKl/xB/xtOHw3lcu1IVHIVcYJr4IloQwr+A9QyD28RTqm9bhOrEuJT3ypW77r+FUl22cCtViFY50q0G36NdBwEmtUwA1gCVaOJW0OpXrlHEBi9VzWFNlWtWhsbWy3zc2NtvHoYbt18+22zlUayBumY7zmKfekY/paf83zvpZf0ssZRzwnKHm1POQzfAY/89AyWgZ/h2cSztiKvgJdwcvq2jmUb6cqUW76qyeuXGp/+S/+hfbZn/9su3T1apuZX2iz83MokijAfKMif+3Gk+2X/+SfzNbkrqs6d+ECSnTRXWW480k7/ZN1R8pR+kk8ba6uCct3ls1AVoMW7X3Awsb6envuxedzTpA7AK6cO9euXbsW0DE9M00c8Cr0SKSJp9qng08e7uomCRcuXWi9HrxP3B6ye+HixTa/ON8OY/k7Sj9gnzgL0NKiJLGspxEHAAD/0quAxGlbpD4Fj8axOL9c7RSa9fjuaUDkE9efaJcuXmhXyaNgzN3s5EfzVYDU1MgrDGJ57YMFRe6K9+jhw3bn9t1Msdvb9egE+2bboDtF9lHgaZzjR8iUKUD2XICR5RfkeQSAu8TlcFVpLWgQ+MIPJJsyCBxyixMuZ4CAcmegjg4y0/EAD/Lde2CEL2QeO9XMaT5NOZQJrkWyvVmT9g22DQdNrD/bpGXNvjqED8iSpr5MHypN7HvNkW2V9mT+CJMIiLU2mhh44vddQFd4RO55j7flMbgb/qZdWFZ/WaZ2zLfGC+msB+J244oKJxWMC5nAe9fN/unPDafYDd3QDd3Q/bh7XwDSb37tv6UTbm1eAe5onh27ggIFptYZOVe6On/D8ZavuKfjd/TXP5ViO3eVHAJECNTVNRAzbdR4nbrlwlWUFl/7XplRSolCrASio58qJa7jcapURvERulmLwbvsNKeP0lnKqQIvSrF/Kuh1FyUsAoX/vU++ShZVCO79vu4NZ3z4gVKUdwnfva9naKDeRKn0nZfuXZLUE0QgdArgOQP4HPcBke6AN1i35NlKyHrC4D1jid+uZToTPAUwnWQ+v1OoRgBMqA6kgcDMpCVTsx50KgUKXesHgTxSFh8FfCl/JeT9HRAQwa+i4DlFsyjBC7GmJCaiVp4bLoqB36fSVUCcDuNOVSlpwleaFtZ7wZiWgcqd38groTvhj44BGId7fHpKelpwlrifoKwoRwKisx50m4VeKFHHbtktSBIgzQAwp9qIVqMDaJSpjAAjaOgaMHcbdLOEHAoMQHLdjlYKq1pec2RYRb+HoriwuNSWllZynZ2bCyBwJFlHzYWH9HW4a3ktHx6EKTDqtk3e79eaOPmyAyWSqbPwRQmTr4k3VhIqNHwuW0nb1MFoRvwdPFDZ0vJkHRmRNBMc11TSsqaE7/REGqXLPJs2YWPdTTrVdsxLt3ZMwBJecITcF3wjQFJJ92ynmq5EOW0/8ixJWF7f+73AylFxdyaU349O3KIaoLSxnvVWuyjGWhSiFBLW+EsZdWdKz/XZjyIXxdc+hPJLjyiKP1Kejv7WhO8smwrsBYDM8tJyLBtuCgDxoiaiF7fnnn2mfeyjH21/8S/+xfaBl15qi4QZcyCG/sYya7GZnVto5y5ebhcvXWlXAANzC4sApF7qPzxLfsyr8aZ/wEUx9oY8mN/k1XQpR6ZxGY5/+Q6aCjLtpx7cvd/cEv2JG9fbOUDmE9eutudffKktkC/rQSDqt+YvyjPfujGKU87m52YBUG6Fvt5u33k3QGAFsHQSem+2TWi+tLTQenPTbQZgv0Q5jMepZgITN8rQwrm1udn2d/fCQ9bhzs4Wz3fbI4CbfOcW5/MLblBBW6ZCbaNatz7wwZfaU08+1eZ6c5Sr+gwHZcLHlJWaSv1Yn7vEt0l89+/faw8ePAhw3t3ebtuk1XcNGjwlSD867gPqdlDmj2LRWnKQwo08iNNpbVqXrHuno4X0yoHQRbrDB9DeOpArjuBRDwg/GYAj27jhUz/ynvHI73wf4AqX+LksH3Aiq5GIdRYARDin3Fb69o8DC6vl5l0GmLiGRe1XB+BIeqQvtTETadYe8ds4uSS+8Lrp6AOu5GfyRF4yXc7mS97dmlyrWsrOe489GBlBjjanRMqb1fbcMMJByLSVkKTak9awP/nzQ4A0dEM3dEP34+59AUhf+tbfyqYM867DsPeNKLS/VvE6pINHhNLzZzcxOmxEF77+CpIgOB3dSgdfynKEFt6pTHV4qIv6FUDEEQElCFOhRrBwVUDQ3yMzBAdahogbkOAUNUfRVYJzKCsKigqg23KrQCmwVbK8ujA8IkuJFldXlfPkjb8oYOaR9HwWueR3+bbeKVw74KXr3v+o87vsvcBX5l3hZRgFsFeVAwV44hEgHRKHFiG3nT7Qo4Tq3YLa3/tn9Zt7N3rY5/feHu/c2epMADFG2aHZKbRzswdkpcpNNIcIbfIUmpZlwpFSldVudFxhWwqZzwiDsFcBcIvuCbzTR2q0WKWEsHxrnRuxJVd5SDjXARBG3ggYU6GQNpS16tB4CsCVUln0sw4FfM0d/RppthXqeiqg8HBfaxlKxvEM4BBwdASPAZLqGcrU8XSenRrWBfmCS+nVd8Qe4ILSlEN+BSso3l1dmX+n0KiAqhTOovj1eoOpYvgcEko5o7wQvqx1NYWtLCuAE67uSFdnJxU4Mh1BhQCpAy4UM+l10xGhZPjaa0apUaqzUxcJFfhUUfP8o65NkFfzQkTyjAp3DQqgCJKGTr6Xp6p0kFI+HaSf31xtdzrjU7lLvKThNCbL6vtaK+LoOlfLTDkDkByAsG0F8J5W+FRgATzTc3v9Bw/voxxvZNvuLc++QSG2PPJd0fEoSqrrJ1xvp5Wuh/Lv4aMqyU4ltLVJs6jnhLUM5vXKxUvtmaefbpcuXWxLy0vtJcDFubXVyit5zrSxhfn2/HPPtk9+/GPtZUDRKx/6ULtx4waApxeeL4W3+FCrtTxqfa+urbVJeMG6cIvqJUCy76vNVv2lAqBRpmTmeQ3YeK+zbgKIpRN5Cu15l6lzlFsecYODGXjNNUaXr15r80seTOtGHLURiHQ0LcGNYEpaC1T93rz3ZmeyBsjNFYx7ZXW+La0sEec09KSuAD3uzLeJv3fvQXtIXbghhHUonQQg8+RBVpD33bLbbdt52RYDsOYLGMD38phlm19cbM8+93RAqPVlPsyjvit70aIsSHsApP4ewLgPACI/AU1b2wFmmf5H+/ArrTuHI4Q9egBPnIQP52YX8OSBNGpL8AEYoZ8iBYtMuqYPv1fSlNt22I9lSsGgXOoGXjJNzjojPq/Wkf1YpmHyG7Ykftuc7cJBiGqjsdom7fotaEkfKR9Tbnf786HgS7OSfWbMS/IskXV9ZeRZAJT31a7Tz1omegDDhxjkVVfrjChnfpfMsc2dUCbXFAmQtBB1G07U1TIRXE944yoZO9J+6VPDbb6HbuiGbuh+3L0vAOl3vvm3crDnNB263bnztVXkHJ8aQTlSgKhkCGbs9BVaCiFdpzDYYSvc6OHpyBVuWo7cHhjFbMytdGv7aIWJArHCIBwJ1wmJEb5X8VZuZC2FCiEKXFkHUNKcnpYd5UhTxTAKYylaWrKSi4Hw6IS6+ekUyCg8CfWeC0giL/k6YVV6eJHvfebj9+J47Hhfafi8Yk38ecY94S1ZveY/83zk/H1A3iFKqcDHdTMCpj0UchV+7o/cNhxg1N9DEeH+4ABhKlmPyKM67RFK3NFI8+wl9FloQZrHKNauYSKZ2u3NEU3q0vpUWENzR0AV1gFOvI/yA3CdnEKRUpCTb+vD7HsfZYV8q4TwhO9ccKxiW+WL8k/dZc78AJQIxDJaCnDjzlDJ3/Eh+d2FRocAH0GPU+VOplCsxigjdc3zE98dAIIASKdH023kRGA0xb071FFk/AHgSB5wE4aD/eKLTL0MUCllVX6ouqr8dYqQCrKKq9OKvHfHOGmQ6uFbd0FT0evW+AgatFSqDPpcrwJ7eFxTiErBUdnxAFbP8yrlV+W/lC0ogGKlAu5vCVsDDtBLKg7oLf9r5bJNZN1L2kPxj4p0ABF1kAGDtDXvLetp2pPxVvsrV+/q9xnx2966dTaluFlHVYeG5eMBGCAqyyKYQpnvoeDPo0hnKiIKtnRzPYsgT5C0/vBRW3/0CHDUp4y12YR53ENRNn3BXtKCBpbPtDxUdHvbs3Ncg3ac/iTgw3D4HgBHYPOQeN98661YJtY3SGdjvZ07v9pefPGF9iEA0Uc++uE2O+/OgxPtiSeu4Z8IAOssZubReGJF4ipIsG58FsseabmWairAwQ1Aqj78tuoNOklX8iZQNY/mP1ttw+sF9uELyl51Qx/Cd3rLtbi01MahIYV6TH/HMgI6iLs2IdGCImips3rcAdCd0HyvWX1mRmvLXIDN+tZG29zYCrB79Ohh21jfCr9bT1cp/5NPXW/IgfYcoPHpp28A/JbbudVzWbPk4byCfvvw1ZWVrFWa7QHAAFFOR90B4LrebRkAdg0wt0KYqWn7B/mk+mm9TrbSomlbsMyQIqDawYnjAwcnCrwfnQjsC3hNTMHXvfF2POa6vU3eA5ImnG63kMEzd2EjqSo34e1JTQ6OpD/bVyKkvTilzl0alQfKisgMnguKsm24dWsd8FRgmU2GYoFxfRU8SLjIHPrHGkSiXqCt9TLmYdNavj1/CDrFO4jEc9BR6EAork4PNA0/MtM8DnDxm0F75lvbWfpZ+lU+CB2StnmysHzvwAvBB84yOgjhdFXjq8EC+yd+JG4uSS+PpAg0MB/Km1/6ueFBsUM3dEM3dD/u3heA9MVv/LdtGiFOt16dL511rAB27vxFYCAkalczp7eolKE0KDEjrBBrdOzpxR25i5BwfrnrHlBMPEmc+GqkUEFUCohCzp2EXDCLNkwYvjVKNP0CPuQEgey0Kc99cGqVyqu7y7megYtaXsCRuXZ7VEdRVdAK6Jg34jP6XBW/CJmBIPVFpvjkeSmfljc585lx+EWuhve/cubv8QPKkq8GioT/B0BEmPpLEFFKVkbi+SwHygJyVPadJnbgmT27giUVSRTzPcI4WAogODkk/UOUL3z/qLV9p5XxXIvKse8BIVnzdEydnQpQVLxMFzpHsFuX5sR7wRLvuCrAx8e0HgF6KaMCPuKfvKvM1yGiKo4qBkbpCC+ed9L9mHpyrZiLwt3KPFMJPez3mJKfuU4IAAToO96j3vZRTA9nyTPpHXtu0TjlBDj13Z57Ehq44QIKC6Bo5GSautZKBnBy/RY6kWuMVD4PPfD1EAB52C+liZfZcGBQ79ZLZ0ms3Z9QPlGE5+YX2iLK39LKaptF8e+29LZuVbxU8FT2DyC66WQap4qw9UVZOy+7CARDDq5OWwv4UEEjPu+jnKO854wdeT4jwNI8H+Xe6XQq8pl2mm9dK1RAVb4Pb8o9aSfia3moePRxPsw/zrZVm0yg9KF89xYWMoVwcXElC/fnAITTtMUzp+rI+6ERfAfdosjCm/tu882zAHvi1bJVlqfpWB1cw2X5VEjNyzag5d79u9nFbztWpP3Q+1wOGZ1Om9Xq5oYWrlXZ2Nxse3se9nyYNAQvgkrrzx3RVLyNS0uESq1bVK+uLrf5wTocQUfO5iEPTiV0SOP5Z58OMBDMSXeV/1jroGviFwThLY8DNbZPqyH1xu9JaO/GIo7C+00UWMKm16CMTl3LZhn7B217cyO0ylTJ9I1nrb+7XQAY2hqvPGhddspwQCL1Fx5AaZcBytohP/ArVetmAbTLKPpaN+ANAIp9nMBsHz5/8GgDXjxpM6QlgD2k/uehxfm1tcSfw4GpO6e1uV7T32j9NPHxgNyV1dWst9vZ2Wm7u26L3k948+56o7Xz59tLH/hAe/aZp7ItuPm1DOXhQXmmMps8Of1yr7/b1tc326P7D2nDta23bcB6393bxm9Bu+M2MTPWFpfn2twy7Y3y7R/uhI4TyBLBqccKaKERqEgL5Ufuz2jrpwfCBupBPtWCVOeI2WaVUxQxfB8wkwEh2xVxkn/j8VLbY8vTtjto7yYLhB+V1l1d4bXQ083xHWXP2kzbYlfuarPSOtYk70MTZU+t9cvgkPUdeeZ7QdegzRvD4BtdzhlT3lA2BZ7T6qyzrmz5PnxZafktD+ET4wBcGY54YQO+OQMgDS1IQzd0Qzd0P+7eF4D029/8mwiO0YyYOZps5ytYskNXwGRKVoS9glMBMpYpSFHY+IvlwY/4h+pFeNeqOJrueTZzCKLJxwIinT1ycJx0XHiKzsZnKIN8q3DwncpHFF7iP8nUupMorEfuFGeaKAvuGqeACOiIwuiPgXCNI1Z+FJAxylKaHzt+J8/K5CReV3JINkoA+Tvvujj/aAT53/SNy/jNf0BV4s5P/+dPgWiYUmzNkoquzyyPSkcp5AAkAE82HNh38wHn3Gsp0WqCYnoIBjrg233UQ367oYOWJ8GEB9KGJlrYABQx8+E9V6oBnk7wATCZIsIz8pb6BMj4TFA66rtTwrpeSksXeXJKiQcjnh4j8AFe7lTlwb2ZFki+tIC52UQ7muRKHg7HSF+g42/u94iv7/Q4ABM+a4sOptrezggKMwBpH17ScgRgaqcAOxSVU0ARegfeqwvsBWGmqcVoYM1BGfRZAc8Cn521RX4VbKgAO1K+uLTYzp1bzVqWxaXlrD9RGbX+VXiNb3/vsO0eOF3IM7ZcPyFfES8VVoCku5oWNA5wUsHh3wDcOF2q265bQDI5UNSLh4qJjCNgCi+gKctRfTtpG6ONyCOGV5GqcpGuvM0Lp5/63ntp4BQpR/C1briTmFuPqwhnCpSL5PnWM5AWFhdDBzcBWAQ8ubBf4FhbWb/Xrr2qJMqbUfyibDpFya2gAZZ8U1OXztry2kq7dv2J9pEPf6R95uc/k6tlEAwJdNx+2ilbTvHyHCXjUykOr0M/Aaj0FaCYD8NnJzboIf0vXLyQ/kfLleuL3NFtdmaqzS/MtYsX1tqli5cBZGvJl9bB9FGUQfrXQa/QnvxL71JaLU/1QaXM2sfZxru+qeop5Jfu5C0bDlCWrKkZ5NcApqXl0npIe/d7XsQiRhzSsRbYmwZ54H2mlHFNBPhsaU1Y+chpnKnr8JdbVGtVclOHmSj/njW0S/06tdMuVDoszPUIL5/WdtBaO99+42bbBJBqXZuBXuZ3c2sHui5Cp15AqVZBBzos2wJ0e+GFF9oLL78ILZfDh0ULy2M55Nv36JIpdpR7Z2u33b93n/TebDffejNnIO3t9QNWL168BPBaC7h2t7W5pdG2uCovLAJCztrG7nrb3t2iPxlrPQDsdKzY8L3rbkiK3hAaQO92yDN5xemH9kX2b67RKSuLNLTHtuyuM8x6wwlnKkhn2iVemkP+hJT2ginr3c0hBBzWy+HRPmXahtaL8IvtEsBLH+k3Hr+glSbfSwnbB2nKl9T2oL6JN/VMgg4QEt7p5D4Pb/C7QLF1r1BwZI+y8M5Iywpv3+K7onnxZYqcbzP9NvHr8zUXLbDH7Zc/NVyDNHRDN3RD9+Nu5FOf+pSS4l/pfud3fmdw99Pd//Vvf6HNTMy22fEeXS69L8qP4iACgY5YBVoB4NNTFOiDs+O2ubfR+k59y7xplIRTFM1jFLbTA4SDo81uG+02rrMIghIUTkewa1eATCHEkEV28RHyA40YTxpH6NsHKA27p21v+6Ttbh+0rc2jtrtz2rY3T3jmHPiTWF1cLF+jpuRTpVbRgYIRKYJPut4pbeom6dfbeub/fmE+Un6fITyjvA2+s/wVspzCsIu7U6663wpd08h0Dj/DGSbh6he5tKiDtJIfwyP8+OcaH0Qsniu/3WZWAYnu0iZmRlCcUP6mULqmVLJOCwzwbnTS3aHqjJHJGYTqzORgEwCFs+lAe/KjMqLQVUEfG1FxpW7JkEKZ1KOQON8/W+MS1kyMEk4Bf3i0HcXQQWp0g5TD7cu1WmlF8i/ryrg/OUSZUa/JeVBjAA+/57dT7gRzKSFxy1+h/ID6VEZt/CBNSylTEcgUNZRJR9NdqO2Ut2z/C9/8aF04Aq6CrJVoCUB0AYXNHbpW185Dp5kozGZcULG1vZlF7ZsPt9qj7fVsX+128lFWiS9KPPdZd0S5sy4pVjOUZtIVHLlWwfUlsVQQt3nJdB8iUKnRSiIvZW0dCQvoBTbm0+lfvVnantYOFXrSNIzTFE3b9FTC6v49UFF1Wsp15U3A6NSnAT9Rb9khbIp4YQ6BmhYe61xqu5ugIECwo8IpsJY5ss6CuKenASMozwsLS21+HkCZ6UJnKJLQbGu73X73Zjui/FcuXyL+8fb973+/feub38yuZtKr2zBCoOROd4JNN77wnc+1rgkOLbCH7Vp7Aa38PnfuXPwqoHZhbq5dWrvAt5QRfwNAdvXqtXbx/FpbnF8in7MBwvK0fYegSLomLspqvBkIUKENyCylWX6yjboWB4KGJtaf4YkmzC0QcM3LYd9DdJ1yiQJPfQqwjSsb2BDO+j41TvqPgCgBC+UzzWP6SPMjX8pRcr3p2tflzKzUmVaSyk/aIn8CSN+76cKjB4/a1q5Wmb1sjuD21Xs7tEMA0QR84zQ326Z8uLm523b6e/Ca6zYP2vZOHz4/CniRB/apC6c+L6+ca5cvnm8XofONp59ql65fbSuAZwFSwLtAgrx0PlYeeMvvNzY22/rD9XbznXfau2++1e7fvR0AFzBJurH0UE4B3Pmri2354lSbWjiCbtB49AjA9qA92rzTxs7Gqdsb7cKFG603vwA/9dvu4UbbO96EzwGDeAfiAmDgI3dJ7QYvqi84pO6oa8DI9KSAf4n44QNA1eFJnyrcHwz4Fd8FLDmdjvK4QYR9oOE3tx6Szl5bW3sOZvGfU4lhAerVeogFy3rGF5ChdPSNJ8d9viMPMLGHqttGBDmupxqf0PJp32Qb01Jl31a/T5Gf1UbkB4LZNqCZfKO3EdgX+87p0O4A6I5/Gawgv5ZdWmitFxT/X/6Pv0HIn+4+/elPD+6GbuiGbuh+Ntz7swbpW3+7TY9PtwmUo25xMl203Tm/7aRrKkKejU3VWRQIhhPlPE8VKirRNULniJ5TQZzz7zqPGvkyToPyL8pjdKPRUpEFBKIipxo4gopqTefvdtAqDgoj3iNsIjw8eDXnCKlwqseoeBGPQkuhyVUBVqNxihidqQ4c78yLUZp2ZYs7r5bb5z6sJOvZwBsy/3w9iEdvmf3duVigSN88PPb+Da7m0ZFQE6kpU5Q33/jc8D6HJCqU/NaCJghxowo3dXCjgn7WLKEc7zd+Qwt3deOZ9+htCFCoeEDFAEpOBlan7P6Gdz2TW4r7bSw+0NIpe24Q0d8/RplCodpBAMdCJVjlW+J3KuDu1lHrA1z3d3i+hwKxPxZ/esDV6XKD+z0A7d42AJdwB30E+Z4WI5Rh4nPa3LFWLcCSVi6Kyb1l9GYAJAAh2RBhoPg7dad2M6y1QFEQoF3ojTJmpVgPglP5zVHladdxLC+285cutLULF7J9tds7qwBa51penCYlQPKAT6d4ad2wKov3rJtS6I9R/FTyczglv33XbWyh1SRTtGBqlWF9WZqsbxQk8qJSppU2ufVb7syv6yXceECLQbdup+M1laROuc70KxuNQMB/xOkUPUG1+Y1yxdWwsaQQXy1IVyms+EiauOHb8BhtDQCwv7NTu5E9etDu3L3Tbr37brtz+3Z7tP6A55tRzu/e4TfvNzfW2/r6o0xlczrW3Pxs+/3f+3L7//5P/7B97atfzU5rgkJBubthatlxypYj+9aVyq158Owbz/MR/Fy+cqU9/+IL7cknn4IGo9lBbWmpFF0XrTudyzK4w9uVK5eyTubyxSuZYlbAr9aSSavUgf0QXvqURQwaUk/l7K2kq1bKWiPjnwQU2GTqL2kZyp0QreeATniB6Al2lk0eCFixURaBiu7YOGzf8gteS5kWJPOevsEI+Bf+5Hf1F1p+tGRab9Xeu+/tI9K34HM2Fu89zHVhwcNkJwHV0zmAdXziDP4Zh5f3aGe7gM3d5HtrYyv15xlyprG8vNRmZ6Yz5U4LXKYvAmAuXr7YzgM2zwOUtCjq5LMf5cFYPswzf7YPLZRaqba2aTO7e/Qh7oKo0k+7gG4eAu1udvvk6Xi03+aWRtriykzVGWlIQ9vMweFu297dIP5T6nI2lqQzwMz+8S7lVxYYJ/Vw6tovtyyHxvCuMxSmphagwyr8stJmtEBJQMD+8ck2Wd0f5NvpkNK26GgbC/3xAmq/0e+QB6fEzc+vEE55VQNGqSHrwTvpYQPLvc+rDUkT23XVFYnhMu0P0Gbv1Fks672Rlszz6p8yRqFDyfJcIFr8XLzogEb4WW/ek7y8wXfc2yf90s8Nz0EauqEbuqH7cfe+AKQvf/d/RGBNtIlYSex37drpfbnaMUfB4CpYQYVt/eODdqgwp5O208/Ip56uu9sAYGzMuf+ThKmO3k5eoeL46BgCcVThpaDxL2DhGODlYntHVF2satwlWFzIq69d2xQuKqyAARVllAFH9sBMEaAluCr/kUfc5Z54FHrGGwkXV2GiAChEed69eXyTD/BGpPaXuCA8fvCGeEk3ZSIO4+NZIiasQjAHd/I0Qjd5LO8DrwXqDFeKUd75rYoSXlfhRlHWBBOOIBIewITukGlu+wCbfQDOsb9jgUNZcH3SQYEcN3w4cs2Sv7nfy1onwhDOdU/93aN2sKvVDgC0edAOdqAxwOiAMAcAr6N+a7sbh/H9bcNB7/3xdgIoOgEUOb1OEHYMODr0m13XFwmqRuPdlQ99HKBlPqCHgMiRZpV16xRgpNLqiLxrFLQ2ZCc5fjvVLyO5KF+hB3QK7aG39VA8CjAYgAmtAlOZirUEMDrfLlxyys/51nONytRU1kJYiSqSOeRyayeL1XdQMLUSnZo3eZ1668BQNm8gv4co0uZZRUZwE+sRSrpWKX3qifCx0gliUJRVcKcmyFvaAPUrNyS/fOt3yfNEm3LkmXs5SEW5+Ei+8QtIJE/gTafYq9JKHvHyTsL7Ha7A94Av85xvoVEsNyqzAZsDwOmaoX5tdmHCGa1ORCrxVdbFxfn2yoc+CC1X2quv/bB945vfbPfu32uPNjdqXQt5sMzGb51t93dySKxqpOtnnOJ446kn27m1tfbBl19uzz3/fKaC3br5TnvjjdejcHuGVQ4cJW8C5OWlxXbtysV25Ykn2qXLl9rauQuAruU2M+MUXremlwZQhrJbNtcgmfesm6QfEihrKUihKI/gUfBj3PJPaCHZCCGg0WpAhNWnECaWtTyqqZHSF1U19Zd0KafWjXHK4aemrWXOmgqYsi55IUjRqXy7q2cp6KWIa2lKBkwqdSkYLyvB/gE0OTuCh0bb9OPDZeEdvjkbhbL2o/DpLGnJi6PwmdZBLRK7W7vw9V52m9N6Yh7cnGQJcLQwN0N9LuSsqytXrmYKpmGkSRRyyldKuWCprF8ZrMk0YAdRiHfXTTe2wzv5jm+mPORZelMep7otL/Xa/KoWbnfoQ1ZkOukMYG856+X6h1ttZ/sRNNOqMwOw9lBbB72cHgot6PM94HVifJk2faHNzp5rvWmADH/HJ7uU8xHtch3Suc08vE7zIbvkB0nF1ZrIuU+8iBUnFiRekTcSStlcSzUxPU//sGhovJUBfW3n9vlUku1HwObABy2NZ4SxM+Y9r0Inb7wv6xvgOEBpQEtiNV16P+K2RUBLwF9APPexdhGF39aGOK6V4p355uq3dc6c7XiQL+7llV/85BAgDd3QDd3Q/bh7XwDS733vb2d7bztxRYqqWEQLwkBNzCkqCg2Vh5xFAYjxaujMBUcoKOSzjgnhr2onOKqpBSUgSogorAQX1cG7oFUwpKA7PEbYoag5WohkQnFRWSzhrMQr6OJVIaPyilAxvOuTEGTZnjjggxBmqbKV0ujyHGc8CvPOKW58ZjhSivN1wvGXEWCeOQrpi3wLHSoGrvxWmdXypSJU4ssvDO4v/8qpDMV6pJAl/4KiKLUD5/fGmVx5zz8FYvdOJc3Ykmd+ZxOFQbk9MyobNxxRTwFCWnMAJwCbACQAiuBJMCSAyfomd8rbBRxtAXq2AFg7x1xVrAADgJtD1wjtngGITtvO+gG+A0fExfvTPmAo66O4P9SSJJDyXeUDPY0r6sAh9SNYo56yroZrN9qecvlbBT9K4cBCIziifvOc+yhLvJccUiQKWShVLsAIDUNLy8xML2fdLK2utfPnz7dz586jAC41D+nszj0h4Sji/Z06N0aF70BrAXkxHkduTazyJ0gzL+QT2o/L58QT68/UTKai1U5pKKmk71Qmp8w5Wr+4sAA40Jrq5g1aFByhthDQTBrAqAEtvlfJ4pnlpsCUzfahIkQdk49MUZMW0MhwHb1ci+XVfDrVVf7Ie3/bGvkpH7u2pwACtLQ8VJBTsVTwtdQ4Gm2+SimjDYem420JRfqjH/1Ie/75F9vmppa2/eZhuwf7B239keBoNxYjD0W9irI9h7I9B7BZXV0NnXYBoQ8ePMzudPYh8wvz7ebNm+0rX/1K+8a3vtkebazH4vPc00+3Z555JnXr1DIK0WZm59orH/xQe+nlD8bSkY0YKMdZzI+13kfLk5swCFSlo9s022/YhxQIsU1ZNMvk+joHYQbbmFNG21D6KHxX39LQNW/S2mfZsEFqAhAEs7kHHDmF0E0vcl6O/RRXgZvTZ7MGynwEWEFL6j472pGdKOvmm/ABdBmckidsJ9TFCWA1fUrxvP2AgwUq5k4tOzzsZwqgW5+7HkYgOC74gMfPLa20c9B+quf0ypp+qJVyfqHXlgG3DhpcuXIFwHpxsF5oNXxbA0tV79W++AuoACDB+7YB63yPutnY2GgPHz5qG+uPMi3VgQb5Vr4JULNMlNupwHOLc623IDCCHuPED0NKEzf+mCS/pwCunZ1HpD8O+FkEvF0i7DK857RV6AVfHhzstL2DB2137w40f0h9bECKfeI6TLuJxTR1KKklcLUbp6rWNOFqc7U5jfUu+Kiy7e5skxctcwtVD9KhWAYn/aWDfYGtn3qnjkblkzOPwDBay9RJDwcwtAgL6gQ01LvvQ1PeUqfKTDdEoVckL6RAOxzJ+iv4dWyWynZDEfNmutzyZ9rdLn3myWmDOril/cLH/3e5/2luCJCGbuiG7mfNvT+72H39v80ot91tCUmcWhW/S+KMRSgcoe0en2npKWXB3luVMUpcvrFDn0B4cR0InxqBrG7dLcOzqxCdOyo6D1DWj3YQfpsI/32+EyRtt4kRtwYHYBlfYAvxEJe7E0UgIQDHxhFSY+SBfJ3xu0b6TiK4TM3/zdXjtJM3COZbi+aPvIr4SbzGlccDr5C3nFGoK3BcykUAFadO+aKgj+MdPOmij0ucpmSWk7MK1X3+R+KqiHI15fqm3pnPoguO/1SyB7f8QPhCe6M/QZFzWl7OkYLUTqPT0qT3bCUtSgFKAKTd7SPAEUoIAGl/F5DEVWtSfxvFZfOw7W0cBDjVLnsngCBEu4BL0CMoM36AUg64df3OCe8ArrH8ANwyXY38wCgBPxYooFLQ42g5ipXWGRVXy1kj6AKl96YhShuVjMdlH9DDe99V/dYBnK6xUJFeWa61LCt4d7FzRD9KC1+pdJ2gAO+h3O1s79T0L1zWrmjnNHr+y7qKgQ8I4ZkWCTcVmJgiLTcf4Bsrxvz5fY9n3VlLbhJRW33XehhH97W2qFC6lsv2kfOY5G0CWGZpkD8zQTssS5C0ko5ONxyshQIY7buxRICdeSv6dt6pp5ZBBdHtnt1BTf6J0m1hid62m/DEb9lU7C2HirZT4V7+wIfaFz7/hdB1b8+NF2Ypw0nbAOy4I5rxLwOgFpagL8q/wN8pWG7R7ZS9R4/WQ7cVAKoAynLduXMnu6CpMK+tLeXMo+efe6ZdvLBKOuPJi8S4ceOJ9syzz7TLly4014+5+YL0jcWNggg4AohQejuA5O502Z0xymnXpxV/CI4CKqlLy2gY33XvQxLuDXN4sB+A5HPBQQAK/OxaM9PINtJQ0TVtZ8QXfiYKeUEQFIXYuh2HJtDLbrSAkPkohT4863PC8oPU7TusD3kNgEQdS4uDgz2eC9TIu9MO97cBJdtpI/LAiXNq+c5oXH8Y2pCW3mizpTh0XZifa9efvNGee+b5bG6xeq4Ap3Q1nPnwm67PrpZWfZY0iQUV3usDkOVhBxa2NjcAs9t5Lg0yPRCvM47xydE20xtpM/NjbXqWOoKnYtWjf5+a7LWl+bW2sHC1jU/Ntf7hDn2LnYl0czv5zfZw63XSutMOjzfgT3dAdLoj9cv3WtVsM5lOF/oKQuwHqh+X11P/DsgNBuuyJbf08d564LlbqLv5yNTkPOHNuzxhPI8pYEQ+zVUANRmZWPyR+gu1Km3LJkDy4wAneay+JE3jLhod870yUEDsd6NjPd73eFYW7nJ86fcjACi+y+YQXJV3glEH277w0SFAGrqhG7qh+3H3vgCkL33rv0/nns5Yp3DgokChi6/OHMXsEKHtdI/Dk4OIEcOpwCkkdLWGwqkkCp/xvFfY6gzhtJBxd24aRUCcoYCcuFXzHm9Q7gBfp6c7CIsdwrn7kUqjUg+RVdIvI65OjfDnCOAouCX3KCAAJneFOuO32VI5cvpVBA3FskTvKdc+KsHjnc/8XcK1vN+VqKxgHRDR+VqrTVfuKFW5M/HcEIgbXpPb+oB/iOMSmL7DmR/jTjZwPxpf5cF0BRR56xtoV3dRAiSAglVNgH/8UnYPQvof/wOSzBy6lDvnokxZl643OkEBFCy5rok63VfxcpoV9wf+9nqc6xG/A3gEOk4/i8XHFEai/HVEOuNe3Ugw5Gi34ZyaVtYfvkeJdwOIUvRJ1xHwgTJvGBV0eU0FoGhCSaxM3OPpP3lR4QzkqL9Tn7J7HABIJXkSZWd+abGtrKy2ZddacO8hsYbJdssqFoO8aUXyYEutKAKPbPiRuKEZ+Qo44qr1xpxE8SRN68gwAcvmKPfwOIqvI+ixwpjf5BZgRAWYnoDM9ExXxarbVECrVAeQ4jsaSnNpdeBhteZPRdS0AbcCygE9tKr4TLqYDx+HZ8mcNNGSoEKVMshEvE/euLqJRKaq8sAQltuzcD7/uS9kp7ibb9+MRccpVY/WH6UMc24sgd/Z22kPH94HMK1nu263IDYvs4BEd01zi+ler5epY+6s5wi677P+5cJau3L9arv2xNW2DMCamXW3vdl2+fKFNr8wS+bIP+7K5ctVdyrvoX+ByimAcDaC4b62jHaqowCKvoKyFtipkXabXRTTQZxOf0ppCRN6+EwQC20FRlRCeLbbdnwXEC2xTCO0pU5cwyYvbd1/QN3sZ3rb43pX+eYqbwpMw9/4AmnkKf0D+SOdbNZAnadvk/7UYQEk65p2eASgPtilLWqpERxt8gxa8k6gb31rSRI8Ca4Eqfa7c+7g6Bo8gJCW1AsXLmV643xvIcDIKadalgKM8Mkj7dr8Fw0FSj4HnkkPytxtmJJt2Xf3ABeP2vb2ZnhTwlAqymW5xwIml5bm29r5c20ZIDw3twhfzQXUxpIML/SPKdPpJnFut52td9qD9ZuUc4+2IEh3jdUkaQEGz5xpIFCV5AUuRxvAgqpLvy69B7RPBUnf1LVWOPsJ5ZJhtOpVO+7q6v69B21qdhrwP08YyuDnxk/k8owgxrz6ne+1GB4f9knYeH32ngt/ApAE79lsx2/MCpfkzdkZXI6P9xNn5B5/bus9Nkb6I9O8rnzBHcm75XDKoJbDTAk1j3bqg/J9/qN/jetPd0OANHRDN3Q/a+792aTh238rHXLW8HBVabB7TkfMMwV2du1SoaRTPs4WrLwdSIeMzHFVqMbq4loZ4vC3roBJARp3J1OwH2Va3RaSXYVZv8U3fdJ2usgMYAulB4UlEfO9O7kpAI2/jTk9xtE0hPYoghmA5M5OIxOEmfR7FE9HDAl6qpAyiiiHnaQySn5zNW+6UyXvwFmeUIAyKJ90UcgH1yheA9okcu+Nx8BcTKcTvqGQYYhTKhGyfpqVipInfmpaReu692oqRVvDS+6MNCYN8h56Shd+8U3C8Fv/R1ziLYASywIgQAUvi6tROrrtolWAjlWCAnRQhKIQCV4FRCga5g2f+Mib/KILbQyfcN03FYdpduWJlSLPBCfe4813YhnknWv3rPiK8gl8/e07vk16FNb0oxTBWJMoejMofsur5zONaGm5DstcViFcRPl2zYoKNDwVeuFUJLUc9V1PgVLmKLjPqjy8N3+UuyxITkGTNm4mUqO3Af/Sf8D/pWCqWPMxzqcqYo5gC472USLdMlpFNu1D5VmF3qttR77jeRztIMqp+eFZTcl8j1b8yO+Et91ydXRey4+UCujkGwFYzgayLcEvtilUw/yW3n5e7Y/6IbwA9tmnn2q//Mu/0u7evd++++3vtM3N9Vi8XJNhWvvQSguWh4ourSznkNHFhcXQcF/LC3zjlD2V6r19LcR7oVdvjjqYnURhXs0W1lpFXOzv5g/t7AjANdNWl+cBShNt9dw54pxv15+4kV3rnKqoJU5Llg0nU6do454jpUXH83RiTYIfoEboIR8SOGW1zru2YV6stzAV5ZHPM/WRZ06zdG3WgYfAUt6+a6jgi+O+Cq3Aw6mr1KGgeq+2USeCdgD4G4H+Rqt3upv1mmTkU29wNRgg37npgEp318/Y1v2T9WwrTmfbJ303O4CG7ioZ6yF8Ck3dlEFQZBvwSzmu+gwAKIBMRdrYBBiC0aVl2gJg1W3UZ3uCW7f8HtDTb8mX4auvlk5wb/jRPHeDCbYDwFE2TDnJ1VK5ecTq8ko7JxBbOdc8w0qA5Jodp8YdnmwAZR5yfdSOGmDqeBvegK4OkLV9YnDtmpt3TOTZxtYdQKpTRUfbzCQgbrLX+oeApBHXjTnwpYWOuiC/ktW6jWzQ89s+MpVLmOpoubgmyKlrcj+0sR8wfiN4+PABfYdb3vd4b5+aXntAT9ufdVbWbQli/Fvbd0LrWK0M6zuc8cpLWqYsVzZmoHaSJ+gxgswi0ba1cztlkEaxamVqnYMANWCi/BCAJQ/pQ7me7vPcVARUFrTi/txH/j0f/lQ3BEhDN3RD97Pm3h8L0jf+u4xelyJWnbr9sILcZ1oOogiofNBDO386QIr7KKjcK1QUDhFAfD2iKQen+Midc6adFhAh485kHry4TfwoH6cITO5jFSG+qfFZFLna2rQUUQSIglGhpgVK3CRAGkcxGD3CowhMjbcpt7eeQlnm3lFqBWE3ChqF0z8lqtnprvzxw9cRcpY3Z1/45z1e192HDrhaDzNQbvIk0ZBPaREKxPtPtdYwvi/rRMVRUQFMB/H+eFqV3kBxiTms4q90/FKFhiufCWo7we6bJFj/xRlH6jO+FPko8yiHnVJf6ako+9t0rf8B8Imi4PsKE/rx26Qej4rzhd/FI9QDtrh2PtPCuPp9vsXxecU1cN19x1elqEEr8pj4zLv5sUSmzXunXblt9OLCcls5d76tXbyEv4givobyvtLmXAeEQiiAUGlN3PyprGqR6Q40PTyAL82r+Rsoztm2GO90NUe9ddJJkHngxgZ+uw/Y53q4DwBCuRZ0ebUkWqxG8aarRXSKvJ5BL/lchd5BhJomRp4giWTJQIXp0V6MREqlzKYLgMl0rgFQlA5+5L0WOddSea6Su8e5NsoBhYSlDWslcD1ENobw+eC72oEMJYx3n/70Z9r169fbP/9nv9Fe++FrbX39IWXZzw5nbuSiFciwl68/kZ0BPe9Jq9vuzm7AzgRK7vz8Qrtw/nzK7mCFZdPCcO+BW4CftGme7+6o9BMvQMkpeufWUN7ne9mU4fzFC6kzN3W4cvV6W0b5dt2PSrdl0FIt6PFMH6e4TQKO5EFp1/GwXv5xGp19QCm7UhInQ3GfAQFASNoPj/vb2+1wA2XeLavhhz3vAUq7XI+hq/fb9++37Xv3296j9XYEQBJcarXaB0iNQSPbWVdpNTW36s5E0pZJ1+R1Au+q3bIaZRdH2xtXw2WKIP2m/aI8QkXyjVYl24C9im1DnqAc5CNtle/cSEFLiQr/3Ly71S1lLdfc3ELrcfV+Zlrr23RopIvFiHqyrxVQP24nPAu/k4YAyW2+nWK3RX33d/cA/PA7vL4DX9y/d689vP+wPXzwoG1tPArwFUSBbwDSHtY8Sz8toJ1ok2PU3cQsfEg/z/0E3jPzer0V6DbZdgM+Ab6AhrnplbYwdzn86p8AZMy1RNCH7OGKptKiG/zIM3mCO6+18YFrx2h3fO8AnBQ0AtfHObAgTap/lV/4kn5wBAATSx20tc+oerQf2wW4wu9uFEJQ6yLgCG8albJ54jviKSvUeztv7vbvUk77QfIDgUZGaKsjbn3vYEYNlhxRp0Zu31kzCWrdnWcnpKyEkW8+/9H/ZTk/BEhDN3RD97Pm3heA9Ntf/2/43w68phLZadvFq4yqGEYYIzhOSwpFMY0wHUPg0FH77r1RMwESAQikEqYrYaGAUSQpzPfwKB0nfZ4r7LkqjDIy6DoDANIESo8bPiAIm8KNeDMVRoEIIBrLmS7mCWUAJUxlbAolwvntWQjMO899Mb9m2/JUbsxJOZ8P5FhdFIo4y/OjvxWWEZg433XvVVS9TziuNfqaQHmuAOM/nlXJnUMexd4/PnGeezaXGMStU+B16UWYRkmWxgpEQ3gPSfA8Kp8vuXKD+PauHgxclC/i8l3AkfcEi3WHZ1GQoX9GpLl2U95KEfdKIvrk0/xUOVWguvi99+q3Kn5esykD33RlUlEpwFNKsy4jpV4HNOtcyiIN+NZ8VnzledrOrN+Bojw5O5vDT9fWzrXzF9YCjlYBR6vLywOgMBcFKNsuBzSbpook5Y1lp85ZOdjbb/1D7x2przJUWVwT4mi4h8gexAv2fOe5QCrOKo1Oxzo46Ld9FH8HGZxaJSjT8uHOXY7sZ7dIgRr58OwUlTUBi+vrwifSij8JEADDvVeVeV3qJDSFFijS0jj1m+/gC+IxX56XYxncWlmQ6HQq172EPWzAxus3eNdFTU1Ots/9iV+IYvrr//zXc65N1+5re+i5tri0QlyrWdO1uHwu6amwu8jd+lpYWsoW3fuAid3trba961k9+1mT5VlKSyuL1NEqgLH4d3xyhLh85nlGgMcZWihKoHGqFHrGkecwuabIfsL1V1o+/T0hOJqagcbuZCcPFm90PJT2Rz3ntxnlmltpN6AfEcaKKl9rETpa32hb795su7fvtI2bN9s+4LD/8GHbQfHvb2xa2LZ3917bu3O7ne5stV3Ct0PPwqHeYKn+oVtsH1OOmaTXgXnbcdcGvM90NDL1uM3Ih3xXm21UGfv724Tbjbdd2k+4GYJb0WsJGR+cMTczswR/r8L/5+H3K9D/Yls7d7WtrFwGWF7I1tXuGKfPRgTwoXQVcJXFjbzbH6iAh1B4Oxryb/2fnGgx3M8uj48ePcr6sbffvtlu3nyn3b9/L9Znv0elz4YlrvXTgvTE9SV4arUtn1tqC8vzrbcEAJqdbmOxrDkwoLzQulp14ZbZWlbtWNxk4/Bkuz3ceId0N+njJtrMxAw8fI7sQSvkhdgz4APv1uCu7SE68Q5xSVuKkvjt9a17rXn2F4O0aQv2g5b3/oNHgEmnhQJUEtYBsmNKZPs4zFqhbPIDTaSTAMkyb2+vtxmnj/JNBvFg7PCcQorg7w0IVjqW8YS47Pt299xanPY/Jq/Mku+Z1GvyFl4dJaz93mmmticu0i4ZUPxUAPysff4j/4EPf6obAqShG7qh+1lz7wtA+pdf/68RTigYA4FOT04XP8a9t3TwdNiOZuq1Ltj5O8oXIYCz/8/J4XTuBC0B4UYNCL9SUBQQdO4IHUQuHX5NsfCZYTKyxq8R519HUHgaumaiCX6jAEW4GZ9KOeAImedapsiHUS1JKMsoeO6g5yizAMlNJxwtF0gpODOypxWLb1RAjU/F33R9kv8ta+Uk+VcIds6Q5BSalILV0aUL3rnK5+CBQbzkZ/3wPrH6XS7157/BV4+dSZiW7yIYEZKlu5CGP/mrPCqGzR3/U2kpmx/5f+rLa/lOUSurkIqXCkcBogAn4zNykzVty8L3PnhsxTIT6gD1M04AYdyhTdJI6nn3mCbRWnB5OYjb8PjkeXAVCPulCq/x6gMQum9SXq0zbpaA8r04H6vDpcvX2oXLF6LAr6wsx5LhdCJBilamWDNKw0hUBTBqyqEHDu/u9rOmRsuQa7V85+i428kfoLxmmp3txG+8ml+YUSXdNT6CMBd7a63qed5Mz62D57Kxwbwj+K6DcmpZylp0EeAJalxIL91JdVAfKlfks6Mp9x2NMuVpAEJzKCdhdCpVAbQJU1fXO+1RJkHewsJiDs11F7MFwKN5UbFcgn6f+ezn2muvv9G+/Z1vpw0JPuUnp+gtAT4vXbqSjRjmudcCYR7dgGFyehKleA6QcwGWcOrRVr5zutXFCxfbk08/2a5ff6KdA7zO9qYBR6NtcmaiLa8S51V3GFzO9uHusOaapXE3XqGNyV8zAICpCacMik32AQ5OczxpvVnPwJmLJcl8ZKoo/CHvBgRCuPAR9AjNaDdaX7pwPG5u5b7vWT14LVD9De7vP2iHD9fbwebDdvIIcPTgAc/X2/HOXjuBNw4Ie7y71cYAOCd73PfpwwA2Un8XcPTo4f02uzDfZucWHgM3wbSWIa/yj7vAUatksAYKdF5OjgXYe7x36+o+D8+ah/z25lagzXnAKXy9Qt2tXW+rAKC5uVVoP0+/52DSFCQrJd2pxZIv9U+Z4/lT6dbJRyrm/vRZFH7K8F5fZ19P3mgnBZBca3VEu9jNlt53b99rb7z5Rnvz9dcBSW+1O7febffu3W137t5t77z7TnvnnZvtzu1328EoQOq1R237YKMdngEcx7fpUikb/f5R+n/uT/cCPlxfdJLdTPUewLwHTfdzcOyjzXdzsOzpyXibBNwsehgs9XlwzDP6L886stXUQJL5p01aCusf2THWkEuWKWUuUKZVVRlVsq61B4Dg8YmRttBbCN0z6Ac93FnuxKl1uSeg7ZB2ZE8rrR8CoHvwrOcHxjqV9AsgWbPpq/lGWpsf85nDbYlh1/OfnAo+Ps87D+t2+q8AacLAlY+Er/JQo3yuVdq0KYNAjHBeP/eRoQVp6IZu6Ibux93Ipz71KWXev9L9zu/8zuDup7v/89/4uShhygCibJN0wJOAFMGJwtvOXqXVDtlRLdRVHrqdd029qF2kZnhfu0IJLlxkXjsBGa1CzBE5p4GcoWw+Qul1VyItSAqhfsI2hNkowmKSuDw4cHzMdQW9CI0oz4Qwj66VUGCp7Ozs9dshwvPk2LN4TtrB3knbQdnN9tS7JyiHKEK7Rzm3Z3d7F3+YXdjcqCDbT3M1boueEUXTIdMWo/6j9JbBe4HCYOqgznARUt11QCO/y5bNOGPwe8udd/Wz/qfMPs87H5mGl/w/cEhZFb0JwIlRquAbd7aO5aOaglh5so7Mi0BWK4ngU6ciNkiaJARQj5Oqcg1c6OBvIyZH9V19yF0UeX+nrAJRg4Y7zNugvHzv++6qqyvP6qfEGLwvQR/ffR9wVe9V8lRivHYuu5MRVsDjzmwL8/Pt4pXL7elnn21XrnrGzkq29J7PtDrAEeEEdl3eu3hzlsvObtva2mrrKEh3bt9B2buLsnSvbW1utf6OliTAxcFe2/MK0Njvu+7jPXqNk74gYwaQppLqTmFO9ZvFzwAcPNw0FiyBmgvOyfsxPOu21xuku4/SfbSvdaqmR2kpyFowAJv51MkbWX/Evd/K84I2N5SwHFGECRMa88/pdHKz4Sl1cxG+a3uSTwDHNGBgiryOk1dSbNeuXWnXrlxq33/1h22bPDkw4Toc4zcLfjcLIHJN0ALlcLra7tZGlP0pAKFrWK7duBaeu41yvAO9XGulMm3ahtOaNjOrdVj6HxPnJP3LOO12P3l3MCP9CGDMsFO0eYGvAGhyspc0VBAFQ+ZpVoA0PZs24F9G4scnYqmboN+Q7w2Xc2xIU4rUZiK17svmIo0FPG98/zttCUA7DiA+vf8QcHSv7W/ttP31rVhv9ukSjmFcB19IkHj22wj5HqXvcMOaEcDe6fxi2xqbaldfeLHNra2Rd0AxYLg2DrA9aosgeevzMZgtXpQvBSkerirN9/d3qV+BhNYDyhy+OGq7gNxH63dbf28dwLITUO/GKSOTtWOfAEzryOy04HwRfgQ4jWu5nIcm1P+UGzJQ/wDLGcJIL3fAM+20c1sy5csaHzsanjmA5BQ5Bw4ebW0Cju60d99+t926dattABxtH0d7tBOAa/qbQRkpZTv/7Em7/+p4m1mcbmuXZ9vS5dHWW4SfZujlZ5AxU9aXA1qCCwGL1VMDNgFJgKVDQPEmYPX+nbtt/HS2XT33cju/6jlY823v+E57tPd6O/JYCOWLA0HEIr0sT84ROnO7d2c1VDs6bfYF8L4HmDvYN+hXvv/qq7Tlkfbk1et2aMnPKLwW2TTY+MJ1tZZOwOiaR/uyt26+lgN456Hp6RkyiPwLckbbOHhN3kuTJA+2T7/WSgioJi8PN97Nzn1zszdIUDk7Dt1rqqFEJCWAJKD6UL633QPSAZZjxNWtH9Tbd/5n/8EfWIyf6j796U8P7oZu6IZu6H423PtiQfqtr/9X/F+iTQU6HTISYGRkKuCkBE4pyyobdvaZXkdY576nc1cwKOh4WcpdRF6EhFafHNzH75qioGB21BDhxvOEVyCbJsKltnF1zrjCegKhUJYphRr/c0+kCjzjQpA4l30GpcQdraacz44C6FkkdR4KcTgBxGmDCBeFWPKhIp6ymCclEvlO6Xxr9D5LyPzVUy+W6z3XCSr9j//uvlQ4P3bek3YHjLo3fv1HfvOg+65Aj2HM73v3lSdBnYDRn/zmPlce1Khw1Zf3sSYNnqmoFVgyr86fL4Di78SecDrfJ7pcdckWPwIM876UI5/V9+W6++IdbvyO/4o/fP4e4PKZ632i9HM9xvs71yiKNQqugqvVxrUMvd581qqcv3ixXbh4oa1duJhF6IKjnE2kwpypmOU716Wv0qwl5tBpcfv72ZVLn+lyKPmO6DulKbvHoYA60i4ljMvtvXs9+A4QtjC30OYAam5UsIxfFBDhtSQZzilXU1PkO8oyUag4cZV2ZiW7L0Jv66SmNFa96MIT3MZKNOAb8+9rr1WP9Uz6ZNohoHB6ZjYWK3eac1qVFq5s2ABN5Bmnc7nGZ3X1XPvSb38RcPNOe3DvXrv51tvt9R/+sL326g/am2+83m6+/VZ79OhBNitwTcmbr7/W3nrzjfbWW2+2d955m3JN5BwdadStT1p/eL89enCvPbh/p+1sb3K9l98qmn2U/62dB8R1N0rixhbXh7favQc328NH77ZH3G9uPuK79bZ/uBfr2xwAxLOtpqdqilhtLmAfIVAu66CEhQTQ0ul40ra8XOwAg3yTKZbwYtrCgM/crnv9/t22eeuttvXWd9q7P/h2u3v3DvQG6AGgjijTfn+X63Y76G+3433AM7zy+298v33/3R+2PRT5A+Jde+q5Nndurc0uLJE3z0GiPuBvnU1JACFYsq10deZaNXkpOy+CHKYAMHrXQFrP9m/ZonpQt/v9LYDno3bgVvo8czqxZbEc6e9Ib3rCQaXpHLg6TZ/o9GOtar53Z1C3Hc8ACvGdAfCsr64NSrCOJ91l0WmnrmnbBiBtABjv3r3b3n33nXb/3t22sS2ArMNcU0bAaJ0VBrin7HPnUO43Z+iXAdjzEwClMUDjeJuapd4mbceelyQQ4x75kXU/xkV5zVP6YvrqbFs+fkZ73IYn7pOOg0UAi+nF1ptZaofHO3x3xDPAT8CQdBdsgMTCAQIbypTOh3IjT3yvrLEeLPeDh+vQ8ygbTdhGaY58ZaUN2iT5iJwwTz4njM+1fB0AYDzv7Mw93qWhaULAzgoeq7xMaB4AnFqQ/PbgaA86Oa3vUurHdMedOply+J1yEn/iNzXAmO3AiTWbIaVPta7O2i98/D8ygZ/qhhakoRu6oftZc+8PQPraf5kON8IWAee2v5muMT4TAf54owM7/wgKFZHJEhIRGqUsR0BFSCRkhErnVVUKlDg6jmA9c5RQC5JfIxy9Q2jVSedOlytwVnPGEZLJw0DhUIITn6krTSYnHSV1wS+CEYVJRUjLgYqUJ7eb81jAyN6YU/QUgkjBbEahsqpEehzvj7oqayeIyqlCDMr4R8rK04HQ0kWcDr7x2+65Tir4LG/fe1wxm1lC5DfvfOYIdPLp784nlLTDDdJRePouYfO7/syNYZJmF5bH79UtoXwwcJbD3FWd8hy+8H1XDr38Ur6EdcVqvO+913n192NHQJ+ZttYY4xSkyEuCIX2BpPem18WylzhUptyUYRLlf74tLy23S1eutMtXr7SLly+2xaWlTCNz2ovWC8FRRvAHeenyUXQAIMHrWjgEPyqDnoeU7ayzYQPK/D7AiXfmwTB+rjIrf7lmR8uGmxTMosTre4CRTKmbq7OPVOK1jpi69OnyEkWQMqVcvDQ/3Voiyy1I6oBQFCXDWSO+H1iwQiN+ywMqh1FEzQPpC8i0ajml0Dxo1RJMBHha3qP9HMh6HoD0ne98p51QtlgLjgSlAMND2ybgAVAhwJsHbPameyiOY4SBLgAG6TW34Lqm0YBDp9StrqxA5LPQv6f1bL7XrlI/7iIoaF1bW2vLgJ3FpdW2vLjWVlYvtYsXbrRLF2+0y5efJOzT7dq1Z9uVK+Tt/JW2srSWHczczlsLTp2fozI9mvKjYcKfAAxAgWdcaRWR37XEZKdG6CMvW19FY2gJfa3HTD3jWc5NgkbW/d17t9rvfv1r7e9+8SuAgp12/lwvUxQ952d3bxtlvN+O6L9+53uvtldv3W4rF1bapaefa5efeaGtnL/Y5in/OLQm2qyNtB734SHTNx55KOCX+rMcArvwJP+y61tqmZ+0KePIlM7jI/Ky0e4/AExuPMiargAeaJKBoVmncS4BhJcySOQRCbaP6os8F2lg3aQ/FWz6rvp5rSIDGlCHj9sGmZH33IVQ66qH+96597DdvnUr273fvv1u1pzJR+ZNi6UDFvLJIvU8B1iYnKGuFjbaydZcwMbY1Gmbnh9pUz3qb4I2LJ6F72PxJsA4HXO10JImAUjJG94BMEDSzAx1eLLbHm28k+mv4yPw+ORcW5g5xzcA/lPX/SlH7JMcBLBfM057Mv9s/wKR2smu2ldR3HVOhwCWC2sXq40qs3gumHTGQNYcDWoHlqt7rk7Lu3vvQVtZXkzc1hkvw3e2b5PPo8ELZZ+DgrVZjeutxgF5a3wr/d08Apmn/CPj6QuoowyYGDb0EChBO+XBwPvdFz72H+b5T3NDgDR0Qzd0P2vufQFIv/nV/4qOdiQd8sGh04hOEA4IYABSzelX6VV04byPECrQlEX9KFduu6tEcPqB91FOFDQAEpUmXzoS5xx0LUjO7XbULkpORvQUIH6HABhToDvdQLBUi2pdzK7A65TqwAN+u7B1cnyOsLPJW+0QRpwIba1cUygG2ayBfGQ0coq4plAoZwijsB4nVSWZLppsF38n2Opl96wc9z7OK2mTpOOkTfJGeGmq9/5Hvx/ouAM3+EG4gJFQARr6v/ESnc/rYMxSZDxPSudFIek7Pw2gSZgUJOVRCTBcB9aiCHGvghbgwGPDS/3OJa/+9BKvckB0KjREljT4s7TSOiPdg8+zWNo08r6c8fGlCeW3vOEanuyOyLvy0EylgKRU/Lvttn3uWp+Kw/pCWVIBRznXAnL12hPtwqWLbXl1DcXbdUcezqqyXOVLGXEp94+4pDUAYQcHh1FkVYL72yj/fa1Hrgkpy1LW+fCNiqS1I720SAh+VHJjxQAsuflCNlvgPVQhUafDCAZLSRdQeS+oyDof46OtuZOeyqYARcW+NkehXYXupEw8NZ2MOsi3xqmSLCgCkAnM5t2IwsXeBSIq7Ym0p/7BQXbEsj26Zujllz8Ua5dbeJ9QNpunluAcAEqZnd4FpQM4ZiZNY6bNLc43p9tJK9ejHBz2M7r9xI3r7Zlnn0NJXMlZMm77ff7i5axZuvbEdX6vAnYutos8m9cS1HOKl9Nnx8jTAenV2T4PHt1tDx+8027deb3duvt6u3P3jfburVfb2+9+n/zvpUwqzAI3lUaVfs/JmQUoOx2vO/9Il4EY6GffZT8QXkOh52GxoACEq3yawQDpSx0unLuEgj/TRvpb7a137gboTkyOxKq477k3RE9O2lu377frT19rT3/g5Xb9Ax9qvZW1NjHbQ9+lz9FShc+UPhseaXquklzoJh/yCawcXkmTIW1522mTlk2r5e7uOnTZUsWHPz0MeKftbm/QcAQMthUAhPcCfGgYmvDbQYeaajhdU5Sn7L/HqD/bxEJAknwrAHG7cDOSvnKk1ulkKie0s10GCMP76xsb7fa7t9rbb7/R7t+7k803cv4T4ZcARMtOeaPuXYcmQNPS5wYarXevTR9dblPZqMSpnq1N9kgLzDHqsQy2CfMbfi1gmymUeNuOfWRAJjLCZqAFdBbwL1DY3nwA/+3StpETAMDFufNpcwfHe+n/neKWOo7lBzBNnJSMe9f4TA3u7YecmndGObfbJuW8euUqNK88ubNez00mpi+1GeTLKeDYgUP7JvMn39j+Nx5tUuaKl8h4R/seyD/5NK2WNARZTht0+/bITOuQ/PQAtrY1iEB58IA8+0rXKR77zYEbfxS9tWgJGGOZjC/L2xc+NlyDNHRDN3RD9+PufQFI//wr/4902p61oSKgQjw14SJotz0tJTOjVQifUjRLCR8bnyxlVkGgHPCVSoeS3//o0Mv5QtGukPj/s/efwbYl2X0nto739nrzfHnXVW3QBq4bjiBEzkgxMzQxMyGORH3Rh1HETEih0Cd9V4RihhpJERpB0hcppAlSliAIAgQBNLvRvqu7y76q583195x7vD/6/1ae/e6tV4UCh13f+uR9++199s6dO3OlWeufa+VK1h2w8JVZwiC0kT4MheBisEBRNoUQBeNBkMRkgjzwEf6JUShtgBPuWzGn8A0AFcfzpTOuapkBRHh1kxwxahaAiyfpN5sQ4iY4JsYtwJEWw+PQ9wFgzBoiKIR8R4FCnQeywhHRh+fRmqso7ieBI8LF38QJNFVc//b5u35f/ygPIAhwglDNOaxBUhx9i+8T139z5renotc9OQShECcCWZ42z5WWP+d6EZcTeQxxFs8W7wRtYHSEuicuAk/IRxAeyHj0DQQ3ihU5AeHwr/Bv8R32RgIIuVc//fbU/bfikr5uuPlYWqA3m7FqrWyXJYDvXrlqq6urVhU4cu1RgVnysC4j1EvI+8VAerRxBJixb4DLHi8jCX4jNxVDAPT9fEZsZhzNHpMflc3b10KY8TpZ1L8+4TRQbKdTYibhTQB/IbQmBc5xgY1m0zc2ZVZfbZI6Iz/uKAInAjiH8LYX6jUAqehQe0cI1zVl9Gc6spI+A4BwgjoYQAvmmjmVEe1SoZCzrITyF154yXISnN/+2duqBwS4oElj81fWmyDYe3+mM6sfINC7FqlacUD6zDPP2kuvvmqfe+NzOt6wrOi9d3BgnU43aM8U1+mleoR+PTY2lZDnm5hO0F4BRM8Uv2lnnSM9byqvZwIFp9ZqHwl8NSX8dgQU2tbtnEp47SiHCdVtXWXOil7025zl8yUHWoBO1YLXZ9SW3AQT+uhMWVhv5OaRylNUV5QZOrmWxoVXtWPqlLajxtY8aQjQ1SyXMusIFPRHQ0tlVXcCZC3Raev6Zdu+8YxlK3XLqd0lBAowZ9MHvA4Ac9Ae4T8j0IBrazaSHYkG9BvaGv0AjRBrnaZjgDgma6zpDH0Ur3WN5oEdH96zw8MHotlpoKP3iZm3BwfnSjt4p9PhWiKNd5jS0e50xtTOTZBFLwpP3+IboR9yLYCibHt/Axwpb/1eXwfe6zrWarU9bvBkWHGPkQBytKRJteXQH+gXAHLRWuN8LH9kmdG6xmABJPXXUjVruVJa17RpxwMOMMgrk1xh4iuMJSq8n117ymawymNKvCArMJRnTZW+1+meWLffUF2JT8wzVizUlWbG6etmiUoDZIXzCi4Z3QGC4VtBQxXaP9qyoZ2enNrVK9csrefwvmrhilWyO1bNrNpO6bJt5DaUztQ6o6YgChMIVLPSUVnPzroOFt2CwvsNzyiHvku59HWATZgEouxpjStox+fK94qeqb4BO0DiWRg3eQuPhmxIK8hKDL0X2jkTl/Be/4DCN76w3AdpGZZhGZbh6fCZAKR/KYDEwAtzgSkx8KKRQYsTmDV8fyHw8o+zAoIaggaCL4JzYASIM2JGvq6CGToEZpgfs549nTGnYkYMJsYRGAn/IXzO55jVZdy0BubvjFf3yYcHMSAYIF+D+cdw7CCmFtZKwXzCDDrMMphUICzpuXgXHu9SiamlJbySP67RIPEMr3islcJkBCcTXhDKA8NT8KIvyv2Rc7hUPP5f0MhfDg9glBHTJ0SaHL/39Nkvw+8QEOhg7KKB8ufaByXDAdlCnYR3o9lwB1K65pB4sIgDzTx3niq/o+MjgThKGGHIv71IG3YdBGZ91F8JeYzSgN4BLPCQ8oZnXiT9h/CJsBjKev7uRMKDA2y1H84IE+Ec6pd0aQOYiAEqcAzBwm5Myda31u3GdUyxNl1rgTvoQiEs6A+mWGhyPl7G6DdZ4TtBUA4uu3GLzcw55kXsa8RvtCmTSdTGQ13QJgFIfAfhNJ2mnQE+I0GR+yEf6awExDRmgWgyuU4JdGAKqsPTUz1hXjeRWCkasfCeg/IHWlIX1HkQmhdVqKDvUU4dBGjs66mUdwRA4qI5zTntJEzpvSsSAJks+PGPfxxAg8qEORqBeqeMOKPgXKqW7PmXnrdf+tpX7Je+/GV75rlnXVN1IkHy/Q/et+/+5b+2b3/rL+3mzfeVfs62t1hLwX5HA/8eWidoQrMBFALwWPfDJAxjgGuuFB+nETPXXA8knCNwqlwqK66uoYFPdIh2aJnxXlcsCIwIdLjpLWnSvhSX9hUBh3As+rLO0MK1eBLWmfhwkEJclXM0EIjrnFlfAI9yjwRAWFtzfLCv72atpLpr4+1O9MIVdEIgY6BCrV/ZtfL6mqUFFAAiiPK0J/ogbcDzA7jWeIr5JHQnfdbq4OyD9UQAyDBGYi44dw0doyebsY7RWODeWWVBk46m0B1FKKDJoG24JkP0pR1Rl5g+4rZeGVBd0NYEKPQeDhpYg0Q/ph1QbsaJFOBGeff1P3QIfYt804a6vZ61BI7aZ207a5y6Fg3HO75Oj7221LbwEIkpZxhrFFRvvhZp3rNR6rFNmgVPC++huZLaYllgPk+fZqxgrEaLpDHczdNIIao7pcdZwAC370mly4QZe+OxHpX+D8h3JyqD1qIPKX28R+bqNp6hjVMd0/5ogJ43+mdG8bgX+jMTUoBMwDPrqq5fuaF8BY1WMbshzpK1hN7PskfTKGOVeNbKAua4/u6xybn4RUZ9+dGjY1tdFYAXWFOSogH9lvGT8QBuGMZCzwa8SrwVU1bGlny2qrvqw/TvKK8qOX0YLd9kjEc/6hv+txh3lL/IDJNx4euf/x/4W58WlgBpGZZhGX7RwmcCkP7kR/9bFwwxRQlCLCYNmK0JIIVx2YUMQhDcQuBq7jOGUx+o/Z7iMdsFo3MG7ndhSMyOBvM9GCECmZvfwRT1PgxMX/UDz1WZFO6+xWDEZABOiuBxSD+AuFkQGND24NiBuMRCUBUDwUyPA/Ex5e5UdRHHfn8qwUBCR1bMJqXyJgNYQrhPpBBw+BKCtb7g36IMnPUpHaE8IRAn0IWH4cR/0V/EFcP/Sk+/I/pGwWMq8SAgnAfS9UP5CdojgGIQKlxI94wAoGCaOrgfqsAFTP++bvj3nmT6wrd1D5pFgWJEguXFwKv+uuqBAAhGIHEQGr2/eNdnZFWv/knFccDzpE0pkj8L6WPO43ts6aeb0SmeJBUX0DxvEn45ELZdWyJhjrUuaIq2JIzvXrliu7uXbG11zcrViq99CKZ1AaRwPB2etGHyoIMzQu0EAKTvIsgGDYrO9AcBpPEIr3ES6NXOAVMEBBQEqwh8so+Qz0rTFzBlU3tW1n2GHAGS/WHQerEuClMhgBJmcgFUUkfkQYIpgrG+x3d0K/QV5dFL4lkOIIbKou6gle/hNFysuaEOENW9j5FPATUJwKS9vrklQTlr3//e9/UbQBhm5rNZNKxoo+JWrdXt5VdesV/5lV+x1z//eatV6xKO23bvzl27d+uWPbr/0A4e7VnrrOmmVjhlWFtdtVp91X78ox/Yj374I19/hNMM1rvQJhHjKYybEAoQ4Mp5MOyqjSb03ZzojGDfUYXP9U5RbUodVWVnDElnSqJXGAc4cC+ez5W8TNCB9kVZAYbRBrqAEv+W6MIMvDcwZYF4PQGIbrft2jKEYhxPUK8AJs5sXItQilt0vModHRzoe2lrts+sMxxZtpKzLskJGKzubluuUhK1AXGY1cXVntlENTh16PVwYkDd9ETDE2u10HaoT3jdKs8SkCk/Zfa1U4v+xVrKbLagj8yt0TyyR3u3bH//tjVbJ94PyiW8NK5ZtbziB44X1Bu9TbLxawDtWaUjUKR0WJ/FeIjmGBfVuEuna7jLcwny0IbxjfVRmJS2zzp20mzaw0eP7b333rW33vqZ3bt9x46PD719l4s51Xndtba0D1/rxjigNompI54l4xpHp7lDy8y2VCJ9IDGyZG5m6QJbMjApxTimJ6KHT3Kp7ADJYEIWXvHfAIPZONQ9Fg0CU3QEypdT20CDiMdFtI6MSThKSGvMrxS2vC8Mpm01JW+BDChqU2nv3/x2CwF9DPANwN7ff2zXrl3VM9os/Y5sCAgNDlX/92wyaFpadacWqvQrFk+XbACA1Xd7/bCGr1RcobvqCP2TzdLDOtq0t0+Ajj/XO8Mxpua0eRxDiCB6hz/+BVO+kdpvX/0DvqlSKLuAb8wkicN31UQ8fOMLS4C0DMuwDMvwdPhMANIffe+/dKEMz3VI3ghsqPEzqYIL6EEg534QfjlH64YYzH0RqcJcQg5gBqGRpGBy/h6mde6OlfcBAhrwY5iShG8xw4jmaG6Y9LGmCA2SBMkkZgdiNgj8MCzFJ8D8EC6TbtIRF5AJDBqmhHYJUwfy77OmiucOGcSDYmLUsbgYdCqm9Fnczcw/i3H1zJ8r7yovaxLc3Isc61vkweUspeVZ0LMoL15Wnuk/LwtnuCs3OS6GC7+J52f9OWOMgi6jX6StLPk3oUEiHspNcOGcZ/xxz//pj8ghCokv8kfeQp45nHkv7hOd+L7YWj9g2uEbIa7HIyHySdL6D6Gea/+AAgw8XIfvEBC+XBu0oEn0vSeHvoPQ6qZ1EvRJAwBJWUjfTeQASBK4ELoyElTdS5yEM9x6X7l81dbW161WC/sdod3AZA0AGeU7Op4O/v3ozHd1BJAU1gBxYHI3ngRnBQgwOAEol4OnOrznYbYG4AHAoeUI+Y2rz7BuDucIQfOVzQRTOjQ9bBKL5ghNGEI+60HoJ+QQWiC84dY3uPFm13zqhf6Ftkf5k+BPnlUoz6/TVnHQfqJxwTwWszGfVNAfdO0N+xLyc7a6sWY/+MH3fBNX0ma2fX1j065evW7PPfe8XX/2moBO1U6Oj+2DD27au++8ZQ/vPbaTo2PXeNBXOcgnG+MirANO0Yz87J2f2MMHD4yNelfX12xTABZTO0JEfyhOe0DSQyguFiu6C3CS8JxKSLgsi27qj6Jh8LqXVvkAO9CiZ632qYTVrlVLKz6BAj2D6SzaJcYHUUJpI+x2BXzIM9oLZumHAix9gZ6+QEvr7FR0GQftQ6ctWrPJb0dlC3st9XQNkGMZy/HRkXX1LvXR7AsglYvWnczs8vPPWmmlZtlSQXVOe8XDnGika7TVAFDyQrsiXcATjjGgAVobbyfKO+XFVIo1O7wHpZxOGjdHqktMHvFuV64gRMcFXk6s01Z99ILTCEzDUgJFrO1Cs5bXkRIochffAlqsPSJtb1/KE269vTeLVkE7r19qI4AlNEa47mYz2IODIzvY23Ovho3TE2VqanVMWncu2fXr12xja9sK6gs41BkNAbg97ydBY6K6SA9slHhsBbsSJjjUf3PFhOWL4iMZgFCYQEADGMwmNYZTf2oPmMQRMNObY2mgbwMy8pmypVnno7jEp31DS9oZ7bzVOrWJ2ovNVXFTgZjiutN0wP4OKjO0VhdSfyL1YL7GJAfghTU+j/ce2eVLu+qXAHL6jtrCsGGN/mM7HRzYQfuOdRu3LTlvq+4Yl0TjbNl5JpML9+/t2ermurLL+BMm9fgL5nwa67CgANGoePM5WsK2+oM4XmFN5VGeBbxYb6uR3ScRMLlECwZo1wte7si81z2x6t2Ev5Owr3/+P6FQnxqWAGkZlmEZftHCZwKQ/vA7/0j/I20HwRnBC6aeQosjJhJknMC4+AEz4wBEAJDCzuLMpcJ9OEswkLDArKybkIjZsQM6zN+1PwgP/tu5lZJEUGRHcTFt5SGAG4Rdvi02IybgmRAzcuYjZgfDY7NaZk+DmAjj1HMHFHo3HmYmfZ8NlcW1VfGx0hT4EzhiFp91CsSXrLV4z3Oo8sCQAHdiQrqPIMGsZ+SAIGi0FuDCA2IHQIpAGn7SgTASAMKT+wT/zVshhOd83395edy1r98N92Ha5IXnPPMzeebP86TfHpcz343S5Fl0hpYBQBAoC3mhvE/uIdF5CO8vkvEzcaL3o/hR0B3/JuVFA0N8UdJTWSQRrvXAtUcSagAEfNufO81D+m46peSZWUcIwlU1+wnVV1Zse3PHdrZ2BI7WrF6vu+c699wmIYzZ84t5ezqPnxj02ZBv0WGRb95zJwxqH4Af9o9hx3zM/GhP3EfABYxFJnO0JTQ2PMcRAgI+oIkjmHchDBJX8RTHAVVUFyo7NBuNMUELpn4I+tz3xfgu1WFSikCntuttP4CCkYSpIRuMSkh1DbDewUQLrRLmTuxV9MwzN+x73/+eBOyGrQjUfP4Ln7c33njddne3vY3jtvtnb75p77z1tp0en1i/iwakZ21MrHB1LUDBXkqsYQLAkjbaBjQThwIRAJeSAE+rfSbhecO2NsIMPuUL2pGYgw93C620fGJD+T5gXQ37+khAxxlGZ7EOqd9v+Rolf0cAZoTmQwItLaVSWrOt9Uuq84ryAygOtKTNAKhVHH0XMynRSmcAI3sLMUaxtsa1UYoP6MGEDUFZ2RS9g3c+BNp4Qn1P9UWdPny0Z/vNtu01epYWDaobG3bpxlVLF3MhzqJuSZd6o/34uKWDOnIPe8pnmKgJYxpaROIxmeP7/ujbaBfQZHUF4noCPycnj+zsTACtcyz69vR+3Mu+unpZoKCg9kBbVTsRHTGTDABDaWvMLhVrAqA1/y5glHYwU3lZa8UgwdjJhY8UwqyDvgDNEC+OLfdWd/Pd93V+aGPVV051vq06vX7jul25dsNW1tbcMQb0ngjMd9uhnTQErlrsjzURMLWGzdIHNm/XVIc4JRibsmL5skBNVrkUDsioXzlA0dmz7rWrevCJEo0Lc7SyYyCG+EHB8umK1ysTGnG94BogtSvaF2vkKP9pe8/6OG9IZFyzVEyvWilftQGuwJV40ALTR9Sepn1/F7AFEHn48KH3B5ySePqeKQHVSV/0G1k/3rHetGnN3i0bTh5aVqA+kShZJlm0ikDO/sG+JTJz96yHqRztwcdClYNNpuNJxqWojALUACR9I5+tWUq8CucS/kkd9PcY46N4pG+jwXikOuMgDmkz3hKZ4ePrSw3SMizDMizDx8JnBJD+C/2vIVcDL4yXUdeFNwlA+oR+IomLkWjAZ4gPzFjDs84TABAMzQd0GLCAAoK8nvmsOIO9ngtW8Qne9vRJhz8cMiTEAJkP01f1v5h8Mqt7QVBG4CHACMhHMoFnJmbpyStxmAnFzASmr8iKF5gJAuxCcOIewIFd19FcIdToQHBFm5QS8wLQJRCMFNmFGSUnGViMXYJyRrnK6J20hFRnjAANGJ5nzQMk8Z+LezBwmFgkfDtQWjy88NrHgk+gkpbOzEC6RoVZan67dkzPuMdZkTyeX/MeX4CZ8nzxTNecvazcd6GcTwD+wosOqrzSQppBOAjX52foA83PQ/h+SJ9XeCsS+sN3OWg/IU0XTpwW4UAYcqcMi2cI1QSEXt5nAXi+ULRqrWbrK6u2vr7urqnRVKA5KgscFUtsGhrA0RPAsQgXrz8p8F39p3aKsHmhXdNuASwSXINJju4rP8QhzUAHwDKCNetFJMhISJ1IAEeQp5/wDm0FAMWBcwlAOYvWvU1epKXSJW2fzRe4cc2H0py7JoK1WKGtUj7atGtyWLMk4RNNyNAX1OsQyBgOJIypb+BcgT70zPPPW+vszK5du2Zf/cpXbPfyFTeXunX7pt29d9se3r9jzQZaAvIrwV7nsQBQX+mwHgnBjT2lAKmAQmjFd2nPJydHdnh4qPROXYNSq9dspb4q4XpPcUYOXjGL1EteHvKPQEz/a0r4p8y+7k/VjtZmNGKdCzPnAoSiLX2TXoNGZH11W8D4qlUrm1arbDhI8PFB7dYFT1URYJs69HagbwA8AF4MSGhaaCOMR5iTsQ8U9QyNuv223om5JglTP9+kVeVDy4IZ6Nu3HtjxWV8AYdcuPXvFqqtVxVO9KS6aHtZPKQeeZ/fupzExxniifNAuGPMwK6R80A1wyX44rdax6qujsXMkcHimdwUuhgKl7WPRO2stgY7D/Ts2GrS9XjJqQ5jsTZRepVJXf7hihXxN31JbUhnDhsXQV6AU82NlEs1iACMplddzuaBbzDVHaKHIH0422u2unRydWLvVVn77Dog311ft+tVrtnPpspXKVdd8skZuQD7UVunD0BqzXpzgWEKAPda0eO7UYt01lQ2gbJYrqB2VBBjxZocGRu04RVvGbI5+KrqQD/gPIBoNDiZ2qh7LCoQAkgCJVHSMuFS4gpdIdYdr+5jaS7PzWCD7WGmiGeKRQG35ssfsDduqG0Axa7+myi+8g7HG7L4A0s7OrhVybPpKe+JgfMI0VADUxjZRnY4SWQGuqYDYvtIcWC4BeCupTGm7/eCh2umqm4/SFrw8MVy90wY1rqm8mG0zSg9HLXIuGpdCWfQOm9FqxHRaiDA+1cgzAJdrhT2O+oPSIR7jJQDqN7/0P4IUnxqWAGkZlmEZftHCZwKQ/vl3/zcaeDVGa/BGJAkaiiAIImxpeNYAjblAEGJhLjCrsA4AABQxA531HIGFAT1okBB2SJw0iQd70LWYmmt6fJ0TtuHBMxB7QeCByQVC8uN5kpCIkJNkryNmX2GkeD5D4BYR4rj4DqAJUAFACvsoAZqYsZvqLmkomvLBLDwCkX7ojDc8PddD1gi4Qwm0R6mZZbICa2gDcjoElLL6nctiMgVteB1PUkrDhVfS0sfEzAA5SlqB//zCA8DGM0z5oYMiQY9AE4+xeM77pEf5uRvAjD6jcpDHkGpES09FgooLhhfeDTQUfRa/CeEMTQl6z+tLz7nhdbvIy+I/p78+6Pf9WnGVLo+DS2tdLe57Eryla2f6/NOZvPmMbyi2h8iNtcdDcCMZ5Z925poSCRzUJ+ZzaI7UziXAXPa1DwCjSqVibArL3kMOBrxOqYAQPF9PBf/WhRDikMnwDFognPkh4Rqhnnbpgrey7+6vF68gRLn5lsAEAhTCOGs0aEeY1OWUJ9YdASxYzI4mB3M7TI7QPACQAlhSG13UDf2ONN3EzjVAzHajPUKjS5sOkwA8I28Aon5XQvVA8SWsKptWLFesXhe9drbty1/7mm1ubijvMwctP/zxj+z9994VmOp6uuQ9KzDqzi1Eb/oo3wSgcTAzXxBApQ+4OaEEbWhB/tAsOdBAmBUgwNQJ4bLZbAlwnVqlVvF1T3g+Q5AmoM2APoABBHcCYwT5Q8tA26SvslFqMp3zY3v7Gd8nKZMu2OrKFbty6VnRDPO7oGEkQIux6M/YhDaFa8zTWAPEGJIvlhQr5houXKoHr3lnLlx2BI7wFHd6vK98jK0rwDJAayWgA2BiH6yY6qzVbtmzL1y3VDbhYAfNOGZurXbDOm0Eb31T7w30/qNHd63babhmr9k8Ej0OrdcTABp0BUoQ/iduykd1iuIOMNB2kXfi7u/ftf29Dx0Q7u7e8G8gUI9V34BYTBDpG9AfBxHl6pr6worapsbAFOuPsj6GqpLVftnMVEBXNA7aNsVRmxP5fJ0dwjubIbP/14OHj9xZRSlfsO2tTbu0u2OXr1yxtfUNK1dqbipHP5npPeiJJo5+yho22kgqo7FX4CeWHQhOnFq8t6b4cW/31WpO/YCJJlNd0u413mosV2ZCu6ODif6s4wI80j5dW6ojnRDw04vOl5iMo42oAYQurjajexyJVFz5EIgcs47qodoS1MWR0Nwqok9K6YxGHT2n/jCtVrpMtikdANL65rrKXvH0GcwwdUNDezY4FrAZ6XsaBwXWZ/Gy2mhR/U99r90Xrbu2Wt22Ow/v2fpGXeMtziBoj8oueVbZ0A7Sh8g094ajM13jgbKseBo7xaticzRkyrPzSo1lus+YJKqqvoNJO3lwPgfYIq6e/9YSIC3DMizDMnwsfEZrkP4r8YMgnMJ0ADWo8bGNdi0MNtI+2AdwpP81kCuiM7YFo9I194nIb9JzZopQ6XIrQibCT5hdR5zGvSz8g3iYuPAWgIk1SL5uQ3lwTQ9nN/fLOoNAuIaJ8EVm74OWgrxiVhfQg8+062+CRyPlO53EZFAMXUwZQRNhGsYYX9jDe7kFlqYxCTCxiSXExFM5FtRLkM3EJASwbkBHOiEmLKadm0mAnOtQ3tIqi4TeUG7lSt/zIAZ3MXz013mgHPzvb0MQBUCI3yOPyijgjTMYANoh3Pu1zn7wTDQJDDSKS0zeDzQhvUXyT95DgPRv6iCKfhLLhRHaA/d5/hEthiK5kwLeXbzPe1H6URlc8EXwIb0ocX3FZz5Vh2Gmnu/qvp7xFCCM4MWeJ/VqTcJ+1YX8dQlpGxubVq2tuKvhsgASjhnc1O2C9ig6/rpAHM+nCxkfza8fEqoQ7PFoh0DrAIS4Kg7evPB8h3kWzxDqAdaAH7zG4XY7lxdgKJeszPooASTukVdve2pwviYJGoqmAEOvC+XBHQ4MRxKmgzaIugCY8Jx8AVzC5rYjCba4hh5ZXG11S4DotS+8YZ97/Q2fCeebhwcH9q/+9E/d09ypQIsqTO03rbzjWWyu/BWsoHwhjPpEh/4oF9ouTArRRqAxoFzkLmhm1Vl0DYnpL+P50LVChWLZsg7+kgKDGddY4UyjKwAX1QdlxwECJlSMLYwlHL7OS/WOu+ugKSn4BrKbGzcM99SV8pbq/rLXx70HH9jJ6V5o76IbdYIGB+CDcwTXsIwl9AuQ4GgBM7rjw0d28PiugGXHet2mnRzv6XzqIOX49LEdHd4XUGhLXp3b0cmBQB8avLE1To6t02tJONbINu1bbbWkekwp/5g/zhx4YDLJGHjaOBZZ0MIFky+6nHvgY6JGdQ2AzGVYF1QSPbNWVPtlfVEmU3ZBHhMs2hPtBDfoZ61jOzy6q/OZXbv6oo9t/UFT7VJtE90C2gaNe/QBd9M9T/laJDaMZXsDB8AS4KGvk9+rYDEm8z36mdohbQ9X3m2BPFzDxwWQV1bYy2rdNgWSKrWa6pZyC7B6eQDL5L9sFYEmNmtm02Y0ZoAb+sEsIfBpLVvJvyhwVBTIzlupovZf1LiR0liisjK8eT5pR4pNx8K76Wii9qISon2j7ZFP914Xp4zqfJSHoijQN3hOGmj6lHnHWzm1v7neP2neU7voqpwp1e/M8tkVq5U23ORuoPuk4FsoKDN7+49tRaC+WqwGmolO7DF10jgS7TBhBMArP4aZKdrgor5bsv1HRwKlDUGYthXyRXt8eGjPXXpR72KeN3Tew9jtk0HeizR+6G8g0BUTkMLDIIAHfspTRiIfZ7hy/sFb8JYw9vo4Bz8kD94XzX7ji0sTu2VYhmVYhqfDZ2Ni95f/yJktDDOYqCBLaRD22UbW6eiG7vOHyQFACa4LE2ZYh6Hpie5H64pgXNxFOIY3IyDr7SeCmJ4bwAumh7AtBqA/vbQAMDhqCGYhLGJGa5RM5hRDAhH5WIAjmP1EwqoLqM5AxBgRZsTMHCgpFrOAxE67IAqzoXz6mtKAVaFB8oW0pClwxFoAnuM9iwX37JaeYq+klECWL84FIIlNChgF983KO3yK9FQW5YLPeqkDO6TskCuw9UgYJ3Ar+hUehzgIf+QPsMB9tEcwWQdyMEjdg76hHLzLWRdK2585I9W9ReKuuVrE4TkCQfRl6pJ74Zp7ANgQ12cvyYM+HAEQgtOWb+meL7y/GJzuIS3iw/w5R2Y9YY2BgMAEgESboS3oe4AcHZiP4O64VC67ucrly5dde4R5HfuvlAAdOoqLPXfCfjd8J3w3yuO/SfDyLmhEAIA4GOIYTSRw963baVm707aehEg2NcU0izULAHpMR31tkYRktEE4FsEMCo0RAA7vegAkfnsc8qp4QRsUygp9oI0uXCjDvIyNRQFIbmomQRh6YeoHKELQmonGAJKt7W178ZXX7MWXX7H6yqrvV3P3gw/twb27DsLeeedt127QEJzuLhibm28x609fCV7VeKZvKQ9on3IF9jIK9cz6FfJCn2RjVsASwiymWSOBhomER+9V5JM8Kj0A2u7Wjv3sZz8VSAjruGhLADv6YjChTDpARmvCmAIoQQjeWLtsO1vPCBStqR3gIS1tx8eP7K13v2l37v3UDo5vuXc3NB+UCQ0XdcI6o9Gw7xoT1w55PY2t2z6T4I8zhoGbPwKkGJk6nTPRVaKqhHLWOdFH3JMnQrryxCQAmrqB3jltnEi4TvlYUijiFECADnNc9SM3zQVEZpM2EiChvO4BUe0DQRuaUWeYHjvYpExqJ4yUYUKHMSUlsNb1dVcHB/etWl1V+67qd0N5aNvj/bu+xuvyzks+4QMgDKab7ENHPwz9zCc0dLDGCecVrFXDyQXBtemqe+8fyg5tbED51MYZp3BNnVe/W60JRNSrli/m1b8E7NXHAEdsPuv7LOnAwQemr3m8Cgo8sQYwrzaDuSLtqDfdF63ObC3/iuKUBCyrVqglNY6SV8ZmPNNhLcAkizInvoH2bizahzE5jDWu6dcd2oC4BRG9rYqwFEW/CIzo+lNCM1P/UBrwhqTqg43BWVd11tp3kDud6L15UmBtQ/GC50lAGVq5k5MT0S0pkLTi6QGCGZ8ePrpnpWpe15iPMw4GOsdx5pAp2Wnnscp/xXrDpmVTR3bn8ZFdWVu3jdJlr5eB2huAmLbKeiY0VuS7P2qojBnlEdfg8ExKxP+UmHrUSfwkjKMaI/Rd+i8vkwaTiNCPNvb1L/wDf/fTwhIgLcMyLMMvWvhMANI/E0ACDDHThmYgmKYh0Oqk/3zoRjDTYMyAzAGTgpkxYgcohIlPOFwy10uM54HZEZ14vIOQFoBQJCAwk8iMmKeFwCCByhkAmiQ3wQOkBfDGtxGsXBulN2bKZ7jvKeuM5yr2cwI4IbyTN2bxKApCoMpD9rxQADsOMUOYq57DHLGLj7NmISNwJhCEqR173fhGnxlm/ZTfNIIRYEMCn+JI5nUWnuI7OiijgzD4nX+L+7onegBewvNAGw/k32cMoVmgm2tqFDctQQGQRHphPVI4KEj4FpfQTs95WSFK1gUij6D0qZDFPcBABGIICH1RCPf4HvkN+SREaXtapAEdw50nwYVwxeNd6uT8WkK66g6TNWZ7qRsHKEoggDDMqpIuvLPmpVAu2qXdK3b5ylX3tlatVv0olYJAxiw2QmJkWudZVojKEwX/xlPhI3H0OIrDOjoX2hG4ez13Ze174AwHDiQcvEko9V39ERxzygOmZwi+3jbSVpTgWKtVrV6rO0AqSJikzSDMRiZD5BdBi2vP/+Ie2RhIsO4LCE0AaIOw+D6lb5SrzOpv2cbWlq3qnFW6mGvt7+85INp/9NAG3a7iT62+WrP9x3sCFkeuLULLBCjGY1hSDRSgQN91c1L1E/JXrpZtdX3TywdgmelZr9tXmj0XIBkf8BRIU0CY9/1upgPrjzsCN+phs6TAYMm2d3aspnLjCQ834Ds72y6EA4qgI0I317STsYAJYJM+Xy6t2OYma4zWvZ2yQezh8QO7ees79vjwfRsOWw5+MC0qlWvKZ942N3YEZuizU2udnWjcyKqfSEhXftCmoOnDyUc0ZgBiaWOtzqmAHIBpKMFWoBewSx/RWED5AEgOoroBHDcap97/0OZgNokDG8YSgDkmhvSlgQAYtGSyBs0DbajfO3MtFZu3YnrHNfXDeMR7jKl889GjDy2bSQjgobF4bPcfvOP5uHb5JbXDvmtB2FAXjdXOzvO2Ut+xvuICtnEhzzgKSAOkAjRZz8UeS7TZXA4Nk8qmduRtTJ9U7l1TiNMMzCGbJ6cMAFbFPFPCvQOhRZvlOuNme2q/+oafdQCYoC1xojGR/gCgavQfWG/QsFL8hrexTCFmuRKaQUySMUNlbRFjW+gHQtYaGxgXApjjnkYdnyAScXUGHime99MwKQdQCuMHNcUojsaGDYn7PqZQ50y4kDdM6k6b992l/GwS93ZB/y3nMYdj1J6obhuqm4mtrKx6n+N6/+DIYknlU+O78wm0PDF4VUY0VTsQD2uc7VmxcsVmqRIktHa3Ya1R026sX7JyuiYaZW0sok+UJiafTAhikNHvn6of5C0hIEsZozHWM+8lVBl0AOJ4Rrv2P9EG6wg3DaQ+FefX3viP9f+nhyVAWoZlWIZftPDZaJC++4980MVUI2glgrDgTMYZa1KMDrt1hmMGbhhTEExgWBI/FBe2j8kRAo9H88Gd2K4p0j1fv6RzIp4Ts82LE0qgWTyLFszCCNK6Bqix0aGv0RCDIE9u+iThDWbKGaHHeaYEA86sAeEns8V4D/Js6jdHSuWCF3NNZL4ZwBHXzNJL0MGJA/GUr5gEyVRGjFnCKwIxwkBCwlEGIUsALp4cqwwzk1zjQmdwO8xiYR0AKvG9hECUoooRqkwL7RMaKSUZ6Kw/8uv58ZwBfIIAw+aIbv4hvomZITH5BufwJvGgbfgFbUiT4PUHeFIaPqvMvfAl3VOJJcR5XTjxqKdwzXuh7nlf7+maPPBq0FwtnhF0L4C8xe9FePJrcd/bhdLGlM4BiIRfXHu7Zy2l4YwfsLAwgQT8MIPOeqPdS1dsY2PLagtvddGif/Y7ArAi9HNEeXg6L39doMyQIJyVP9GFmeJo49iJwFy0p0lSbSElYQs33a4NEiBiTQFHTqCOtVCY1FXJa0XAqMQMOzPvmCWFdsRBHqknB0eL+y4kKuu0RWbyvc7oC0kmEFQvij8cjOz06Mi9i+09fGiN01MHb67NUr6JAwCd6MAs8JHi+QJ8lQshl46HBgetCiZweN7jMwA8NHLra5u6J0GbNqc8dXsdG/XRwgQzVgIgnIX7aG3oL1OBk2miLwEyYeu1XdtYX7ei6NA8a3pZrl696q6ji4WcPbh/3wHSmkAYWj+AArWVzRWtXt9WvVatI0Cxf/BA3+vbw/0P7NH+u55fQBHAmjVv9L1KacOeu/Gamw0WlP8fvvnn6slT2916RuWNW1ngFACBSSP7EbU6TYEG5VOAZl+g60iHrxcSQEAbBZCgv/T6bQm4Z65dws073t1wXoCpHuOQrzETnRlfmM9hIqbVbbsHODahHk0G7mqdemPDWeoEJxRMBqCB84kc5RPApIoWAG+Kzid6lrR33v9LW13dUlsquZng6ekDHYe2tXVN7X7NtUvEg4aYeF26/IKE/KrXDW3JtQ0aE/WfktY9jRV8DxNDJpeymYK3BbSSCNf7e/d9UoJ7ajQ+ttAH+UaxWHZNF+0hbHAMKBR/8Ek0jX96H1AW1jTRjhgg1Kb1PKP6POrc9XxuV1/yZ6nCXOlRf4BD8jMUyKCt6V3GI92dMLGlcf3JuKg2zdjHGBN4BGONindh3Apv8od5HxqorvqAgKForEjqz5CFMRkPqXHV1bGDwtFgqITRFM/Ubm9YMVe3ZnvPzgToacMhxZjdunPXVjdrSkftQ+1dPVO8Sf08VraZ8obG8/j0kVXKG5YWP4slSqKB2a0HD21jZWLlTN0KmZrlBITQUnYGbX2TupkLMJ8oflHjCW7YVRK1Wy8jQFCgLRrLGDPDxFfC6e2TKQ6UlAFFYez+tTf+I4/7aWEJkJZhGZbhFy18JgDpD771vxYjQoCTNL8IYXwOwllgZBqQFRCMYD6BkcGoJi6kYdbGrJsLxHAmhcDMSAvvO2GtUDpVUnowRzE9ZsH0BwNHiwRzULLOgGHMaTEWt69XWuQjAKQwG0za2Hj77K9zTv4tmK2EqsjpA9ACoSHjs76Cc8oHwgkAC0aIACzW7oBKJVG+cC4hwkoQQBhG+HANl5gTAnwaQSIlMJKcKA5mUnqWAQCxGFnn7FwMWYJkfiphP2G5QtzyJZU7JwCQVmnhf2TM6YKAEmgUfocHnBCSg2MGCVm65/yQgyjRb17S+/6yv+cPvW44QiD9EOeJYBGd/d6F30/OPCOdiGkrLd0Ia6tC2hzEf/qI7qMhQCvl7YF3VXe+AasOyk1bwBUyQBg32u4QgEPC98bGhm1u7ujYtpWVugBTxUqVspvV4fQgaI6CkOCCArlalP1iIB8XQxTnI/cX155n8kobk1CCSZu7X2ZamAAdFDUtCSjMrGcdQDNzDmAjXyUBI7RHOCbIAo6YXQd0qJ1EdRvqO9SH0xbS6tuY8wDI8AZ31mza4f6+7T1iH6JDd72N221MvngHQdSzpDTciYTSAyS1e11vp6dHJwIEAAv6E6Y5avcInPrNmjoWkKNpAOQVCwWrraxI2MYrXACp7HM0Y4NcpYEjCLzZ0c9WV3Ezve7AwydP1F/ZAJQ1JqlYXnmZK+8NAYqxg8Ruq+WACnB0dHxsuzu7Vq7gIjplOQns1cqK13u7fSJAd080QAszt4cP3rfu4Nj7APWLwOvusJXu7vZL9sKzX3QBf3Pjkv3Fv/7/2KODm/a5V35V3ypaubriQEeFVLoNOzoBmLWtNzyz4+M9CcKi5aDpwIEK7Xabeh7MJwFHaLvQsPk4M9SYoCOfZ3E9QDPlbQ+TOQejoiMunKEF4JO2Ap2gO0DEwbvyz75ZTDLheY66op6TyawA7pG1Wgc+5jHe3br7A1tf3RV4yFlZgBFnEAfHd/Vu2q4/86qvEcIj3Sw2de1WMb9ia6s7Psax/grvbIwVaGbQugDKfM0Y453yyvgOwCSv8eTM7jx4y7Y2rltWYJn27BMPeu4TDxrn0BJhHuYgyO8B6INZqE++0L6Uee/bohf3mEy6d/C2ypS2Z3a+oDEwa6VawXCeoCRtLmDCtg/BY2jgC4BGzOvgH0qVDqG06CP0PcoDn6D/hH7jw5HGbeqAEV49SteYfKLN7Ht9eJ9QVMYh8pXKYB5YdFPM/rChuGoj+lS3O7J6ZdfjPDq4qza15f2q1Ubr1LRKraj0+KbG4mRONGZt11hjPnvsJe3o6KEDdmjD+JDKldR3ceqguoq31SZNIKmicaPobaXROtR3ceffEe8oWCm9oe+pHIyHzuvgg/ApQBrNGP4mGqjPwxdpR2i9HGCqLqDIr77+9/X/p4clQFqGZViGX7TwGQGk/1KDMTOIuMsmnAueMKTo0gdsAIaCC6gu9BEDwIHtNwO9hEC/i/CHII2HJmbCxaQSeTFsZk/DWzAdBHyAEgICAz/COJojN+dI5BRFTABGCNNEklCI9vMIZjpisC4ACrDoWy6AiKlgpuOgT0yY9xO8qgOABAMNgrvyivSoB8xt+iEhD9MbZq3Ju88CK3+YsCAosBA7jqtwpYswCvBKZxEs8V6m7yQRPAWSsjPL5dn9X0wti7kHC7gRKAI9laq+Dz3F3rmAWzthguDMtz2eBAU0SG5aRxTR15+rLMzoE6K6CgJ3oJE/4Xm4cFohyPCcM4Hy8+wcMERn0vL//Zp40W/oQXwOhEDOUXqE8Jv2cJ52AEuhnErJhUbuI4znsxLQq3VfQ4OgXqut+DqYjc1NnQM4wlsda48AIaz5+rcBR0//fhJ0P3pGWyCfvhBeZXMPa+Rbz2mXrl2hHQCc1RaCR7Gsg7pSseBaIzRJgCZm3wFH3mYUEHLCmf9Ij2uAot+GUk431hl1uxLiupj4dazbaas9q97U3rzcEkrJs+dP7RxhGyAHiHEhTQki5Ct1Lw9VEwRYAI+ESIEs1t3FFu0RD3YV0dcdSKg8rFmhnJR3pLS73b7embiLZzaAXV2p6TsJw8mGMmXz1FDA7NR67aGdHDYluLe9LNQN38ckkvUda2trTqtiqeJe0TDXY3+fRuPYy1yt1OykcWKN5kO1bfUNpQ/FmHzBecFQQOX5Z75ou1vP2s0Pf2ovPPOG/cW3/592eHjfvvxLv2cr9W21nXXlF4cDJ3Z4dF95YV+evg1GPQnFAkECTrQfUc8BIvn0vXtcYzj0MYd1NCzyR1uFljMAeLzv4XyB/AcgSY250EpbUH4ZD+gnPON+WJ8Uxois2jhgJZcrGmug2t1T6/QbDjrQAjbODm1jTYL5PGFHBw/ddLB5dmIrtQ2lm7Jur+ng7eqlV9W+ahrDNEZqvJwqLTbRRTtUKa2Ijj1vG54vB0dqD6EleBv2cU9lx3EE5oi37v9E79Usm1T+BJJ8nVGOvZNo25QhACHaFfXJWkTXeHp5GWuUuALgiLRpe1gCvCegl8+t2vXtl5H7NfZpvBIgwzkDvwk4XGAMc56hPLEejsyyJ5BrldBQMs4rMJkGbwiTC4qm71AO9RY91ZXG9PFMwFYH6VGv7J3l4xtx9R59LiVQyhox1s4NJz2BFPbdOlD7ZmxK2r7Azisv/LLSnAqsfmjFmsChADHtnBEOUItzDzZEz6aLnt/Do0duFpoVz2LSRympvlN2//GxrWk86w/3LK+CVjI19bG8NfS9dr+l/qt6y5asnN0R6C3YQOAOHgzo8XSUZ43UKh6aVtFKbUWUd36G0wrWH9G3KeKvvP53IdOnhiVAWoZlWIZftBAkxJ8zoEERG9JYDGOKBNigRSEgXGFiAAiCGUWMMTAjnnEfszb2rmCRbXgeBFeYGdfMAmYVF9GLuwih2MkvZmsljFAcZjkBNgCIwBBJPwitgUUE4Y0UEB54h/fd5n/QlqDYcoEqAALlcKYvqTDY/PumtkonCPYIjkF4DGVS/mLBjbGXNwIiCAIqT0yCk8+YIiyI0aMpyuamlsnHJLhLcCqmrVLJW201byurOVtZ45yR4J+yciVuxYrpPPejVIlZtoiWSQKBr2VafGdBL4J/mzL6vQBQYPwEBAtoEoVIwKcsXPuZ8qusRHNaOC0pWxAgQlwE6MXZgWO4DvcXs7AL4QdhHFMkNBaR+ZnTbvFN3oGuQWAPQjuzrQBYrnlGPXgeuNZ7NBOcGiBE4757Z/eKXb12wy5fuizQVJZAGVwIo41xjY2Em2gG+9PA0cUQ8hboQ7h4TeD984P2F0xZAAw5VRDroYqAn0Jw1Y1pGmsbqAR3XJDNOXADJHEOM/Ehv5g5EaK65eyHC5jhCCAp1LOXiOzp2g8uiYegqvNUt8aqD8yXADp4uXPHDaIzW9BkU2kBqo7uifaLuhgIhLQ7mI2xAWlXv/u+Noh6RbinbAA52jjtnnu4c5YE5uaBLNwvlyWAV4supPX6pD1Ru89ZpVYXrTI2mvXsrH0kgR2BFe+OGW8jVy5fsb29Pbq8dQXaWEuGN8Jms2mnzRNvY7Xqqq2t7irPU1+/tbZyxV1WY3qnVuoH7eXlF7/qIOi9mz+y117+JfvL7/+BhFMJtC99xa5eecnJhrtutDI/fPOPBSpOJZyeuRYhyzocgYYg/GfcDJH1T7iTxtwph/v+vABMnrU0Ke/PnHG8UFuTEFsT8C2qXgs5r/tyBc96Rb2XsqLi0k4rTqOK2nJRNM27FhFgn88XPP+0J1xp0/e6fQGe1pGPZrSxgtK4dftntrVxxZ0xPNp713Z2rqosDaVRs53tG1ZIF+z05IHqaG4b62iZ1Lboj8OeAOg9Ozi6a+XSmuHyOyaQQTP3ySCNIZi38tvX0Oh91qXRZq7uPCNB/kdq1wLIarNp+pjymc0Xg+ZI7SloeVSrPiYw5gTwS3uk3YZxJZhL8pv+g4lnqbgiOgTgDRtRq9UYjFc3xp/QticCCa7J533lKx1T3+IZYw/jjT9TGXVmfAl9VN9UPnCygLZorLY3wbRO4Igx23mWAwzGfMY0uqpSFfgEeMUE1HIaq9H4TydtAaCOHTV/Yg/23lPfGOjQ+Fy4JF4ytFK5IoDN9xkvw5gJfxG8Fg2DMw/6WDBdVZvC8YPG3FJlVdcxe6y+cjYp26PGbdXle1YQsHrm0vOWS1ZtNIhZIVd1r6k9fZNJRKiE6boyKprR50UL5dnHZtGEMZj+5SZ3ojNxFqRchmVYhmVYhqfCZ+Sk4X9vyYSYo5jLHMarwEwoTAnBzfdl0ADNYOye6zgrDhuvYnI3F+OL1iQh8AE03ITKj8BIcdEN+OG3cy2AFeM/3xJj1JDvjBcGG3lcghkEphAC7yLguhMGF8zF/JGAFPiNII7gQxxAFowSkwQYcNDChFlt3nCGTz74DmmqXPwcC7RhGoYghRbJy8NMLFKeGJbPyrO7urHWSgwXjZCErHgK0zoELMw5ZhIwWLSPZkzlVXHiyQAcYdaBgSu9WfACR170ROnp/4RoJdyXBIQxyw9NeJ+HCq6JoHwUQrf8NgeZ51I3OM6BAGfEMp0VL1wFhh/e479Ak/MA/YJgRd5cU7U4oKWnwOuL70RnB6oSEAIQisBVqBs0ILHFzLQLYQIeaIUQmFckOG/vbLn9//ramgThFRcu3RNcqeKCM0I3M9sBIJHn8P1/2xDRx09PrlUGhJTwI9CEOqaO1CaGAt60DQ6qkXVQri2iTAuNka/L0BHAj+ptkVfqnvxGwIhyeFsH/NBOlSB1gtCFBz3MqfoCMoAg3zNKdA0OJFiEj4CGlpTcKpfkX2m3+x3r99AimL8HKHJPXYu64PvQsFASkBPAqQuUrq+uqW/g0Y42F/IU6lTi2lDlVZ4SEpTZHwkvbGxGytoqBHvFUvpDaw+ObTKaWTm/4vWZz2StIuGY2fc79+4J9F62X/+1b3gZDw73nD7ptACoAAv3KBemrGhCMINK6zxUHx9LgGby5rlnviChtWo3P3zLvvj6r9vb737XHu7ftGp5w37rN/6ePXx839PDi917N39gj/bfE3CREDrq+PjAHj6YVgH+oE2v31AZMZFNe32jScNzohCLyjtxYAgN0KpkBV5U+0+EUVz8A5JZh4a2KWr39PccJqBq1wQ2ss2oHMz4oy1hbRLe2lgDw+awaHtGo66trmw5mARcHx3v2bVrL1unh7arb5d3nzP2bkoJHGFKh2nyTOMboLgGEFKl9fvBrDKm9sGmwfSz2sq6xo6sfg80VmGipQyp3PTDYD6KCfJUAnrZ3r/zQ9H3c4ZrdUARay1xwkCdMw77OKpxk35AIsB4nyhy4ESbVBtZjAmMGclU1n7w9r+ync1nbHvlmuipMXmuepgP1caGyk/XAc1s0lF6aPHobwAZtTPGfd3xdaZMUtGsdYf/fFIEAKX+RDmmhkldX2np+6of1iB5VOWTiTDq3WnP4EsijP+6CKQAcCgv4ltMYuBwg/Vv3U5PvAh36jgVydrz177qtALYxeLwwqR12g0Bv7rqHhflMdXZI7VD0Vu0Y2xkoo480OcOG/sav9ZNOElg/aFy0rF6YUdlm9m9g0cCxiU31esPBOLztCXlDnp7dmEWIoDajKmMziPhY6pr3woBXkbrnY/sV15bmtgtwzIswzI8HT4TgPTPv/v7YhQZMVVctYoxxvCIJJYnxgFzRbBCCIiEARijC9Ux1h7ByCQw6p5rnjTAR9oYifoeD28/mTTelALDRWbEZS5MJGKKYq8CA5jVsWiVwZ8ZRJgnTBm2JuFFgpSbicQAR0oZnk1QPBgTwgACoYMqTDbIE6mJoaQRAvXSWO/7y7AXyqGkgQcIoTBeTG/IYzKR8ziUiUjkCQEWoXQ8burREJ4rRgp9MK0TMALU+DojBKogzLOfkiXID0K10sChhNJxYRmWTSJKnQXkaJNyBczy4pZnVjsrmmQAl3wjSAvUB/l3wEQ5Amk8hzykjBFwcPIs3uO+/yQO5eApj/i9uI6C170O6APYcbO6BbERhaCDv3cxnu4R18FRSPFJkpQbb03QhDUOGQnQCMfFigCSBPSdnSu2u3PJ1je2rFKtuTkXHuDYJBYQhZYGoRRhBgGJb0dlfDpE5fy08JE40SX59rzTbkIcHtEmaEcINQS+C5BAIPc1aREo0pnZ8uDoIAg5UeLnYGkxAeAH5QmABOGP4LSUAAvQZza7L4CCaZmDJDRFblLFLDV9Tu1YecIjFwITglxPwjcaOzRFw25PoDx8z/OsPLI3UnA4krKVNdw51xz00EB8pl9xyQOU1clRnQN5tVmEOTRjrC0CsAJo6J/9Ydd64yMHTZv1axK6C3pnapV61c3tvvq1r9rm5pY1Gk0XlvMlgV3VP3vnMNtOu3Ea6HCvaGofmKJBd1ztX7/2mpsg3X3wtr3y0pdsb/+RPT54V9+I29/6m//Q9iRottrHbjKGOd23vvv/smtXXrbDk/tqP6vW6pyoPxXs6GRPguya4oxsMO6EcYeBSKSPM4mhS9ZOoc2lsqhT6pY6m0zQlore6ktMXLA/FHTUo0W9JjSeCUCS92zYP4r1kQixAFmu+4MzAa+sm/SxppF1T4yjbDa7vXVDwLavNNOqw45tbb1og/6Z5OK5beoZHukAQ6VCxetiKADFPk/sq4TJYq8vQV/tCbNAKq7fG7gZVlF9SYOltwnyyREAvsZ1/WEyNlOZTlp7dmX3VZWddok5Ie0SEzvAxaKQlJM/FZq64h4gBnAbgW/AGfXwl2/+kV2//Iqtljfd+cJo3te4MRa5qW+15akQgYR+RpNAw2gs0XP9kR4QiG9i1ke6vhZVedEtz4OvORLYopmqRnRGO44jBcYg8Rd1EcoOzyGvtElGWr7heVW8CWBN/aaYryjNmLXbaKPO7ECgp5TftGpx22rFDbXXku/3hbOO1tmpA240XLSHxvGRVasbqlv4xYK36Lu4hb9//6FVVwtKO2+jWcpG4wNLK/210lW7d3Tf+SJjxXSisSCtvqdcBVCnJJiAc+sMfQfrDYHBmdouXvkY+6M1Wpigf+3VpYndMizDMizD0+EzAUh/9N3/g89QAVBcmJXwgB27uJkDAhgBnpHcexwCt4ILjtiAa/Bmg1KN6CHAQE0MFrtxHTAo1hL5+iYAErOSYgIAGWb9MBVhZpSZM+JhJ+7mYXwLIdC5RQA5gCOAFWZebvaFgKh8MVOMyUME3GZiynicimbPMYXCZh8O6VojBZ+hg5mKGcPk/drTV5nIC/mAmfIEOpC2fkxnElwH+4qN2+AF01ZSMFgX4gE8cUAFyegFZIkk31RZlACkYg2Ia4oARSz0zyUsX0xZvpyQwMOmkjExZQEukQU5Di2Vm1uIDqThDBKCO6MkPcpCPD0jnuc6/I4CQkEUguh/HhwoKkSCypO4F97hFeIF8vFd4kJtBBtSDGn61SJ5ztAnw4aYAkQ4AsDMCbOjcrFstZW6a4zwbOYuvCtlw1U063nYABOnDG7a5loa2k0Q0C6W5a8LH4tL3hb5W+Q2ZPTJr0ALbof7iC1KQ+m4EC9QEwnP0YE5HYJLQvd9kkBvUT98+pymoZ44AkDiOoAXaEQgHm+iUUBLMByOrd3p+boaABJtFQAV4oX4pBu0ShL8deBUgZB30znaJ+0ygDcis3ahLmDEeiloClhiXQZgCq93CPQqqYMYjhyL23VQZtYqoenArTl9azgM+9YM5y2nwXrlirdrQP8rr75ma2ur9vDBQ+Vz5oCX9Tt4IQT4UsYokMdAG9GIa8YifWN97ZL6U9o67aZdvfSygEDf9o8/tNg0ZZ9//TdVprz96Cd/as/f+JzGgZn95O2/ELBs2nPX37DD48delwCW5tmx+nVHoKxuJ6ePRaueC8VhrKBfh3EOWqJl5h5AzYGPhFLu47mOMhOX9Sbkj3oEKOPlDQEZTRzrH6E1LYn1U+5tUwAJrQZjGI2jVBYAxHPcYozEqcTO1nXRXnmYqb409tTK6wJJbb07sfrKpo1w0qH6YX0m9Tka6rfnydSP1lzR4GOUxghlV6C651qrjPocNAgTUWjc0dZR75isJl2D9e2f/Im98sIvqUyYhQaAFLREoV0ChIIzhbnTxDVW+gh5c02P9xkmeTBNzdk3f/j/s2evvm7lXMWGaIsELnzfIcywMatWm0kypvl7wXzOeYzG3zDm8yWS1BjJhJvaYxhruRniwh8waWNiDa9+DI3+rgbciU5uVkgS8BrSDykq/6G/UU4ACO7kadOV0podHzVNJBCdu9btn6jdzUSjvBWyNasVNmw87LspaUHtVxRWilNrHjesVt9S/sL63ahvQsOe+m1PwLgmoD4hX/Os6uTQssmRHbfbKklKbamgOlSeVD2AQ9qsO0ICIEFz8TJoNxSPC5ua0z+Cts0nIEWUr73y9/ybnxaWAGkZlmEZftFC4GA/Z4iLuwQHB2IqrEOSsAGjSSYKGujzYjaYgrGWRIxeTJFZNwCTLiRYMIADRGCWGtiZTRTjgBExGwbThCE5E1yEwKAkVGIyAuNS+sVk3qrpmhUTeA1CEIcJImQobaUX3ieu0td9ZP/5RAwXUw0xFGZ2wSYwWeJM9Wwo5tQXoxuMztzNKrPVPgdJ2pIsfLZe6fuMpcris8T+HYRchM9gzsE1fzD68aSt+Jh2SEARWELLRpIIVgAZFvAibMbQLKUl8KTEBvFwl2OdAyAoZcVKUoAgbdXVnJXXMlbdzNrqTs5WtzJWWUtacXVx1JISdAFQAggCX+k09ETI5Vs6KApcWXnjcJM/HQhxfoa6KqvHWJyDRkTXlFPnxVMvA2dAVWDTocykAX18s0tFCnTA5CsIR8xGIyiQfhDQRAvV7xMNlw7W7gCKchKQC+WKVaorvtEkAjj7yqQScy8bGzWiiXBgJKGFa9fKSCBzLcNCYHs6hG+H4+nwkXtc6whF5ZozP0Lgvudd3/HZdH3XF64rLwhFLtwLJKBFifZjKgiIsH4D860g3JOGDmU1gB+Efw7qy7/swTVutC3PX2hrlJF0AF1oKNiLxjci1mtePsX39Og/EsC4DpufBoBEv8TtOBvTUhi0GkGTKSFR15QV7R0UAFCQJ7zj0adPT4+s2Tz29KirmuqoWqlJcKyo3aqdVgWOinkJggigAaxRRjQN+SzmkGXVbc52r1yxX/31X7fW2ZndfO99vZtVfbOeLCeaVd0722SMNI8mFm0CQm7IC2ABz2BkHg93aEF0165ffUWAhj1rzLbWr9uzN96w69desu98/4/t85/7hvJ+LEG3KfDzyLY3n7OGABFOC3DnXVU5TnW/220oTk8Ca1v5xSVzXOPCwGkbtQE0euSDNueTDYrj7Vj5A2y6YM4Y4X0Lczv27ALIV0UzNJ151dNU32l7GwiabNoCoAdQOVU5itbqs4D/kmVTBZUx7U4eOu2ulfIrfm/QPVOpU6JZRfUxsLOzUyuW6/piQvXc1jcEOFU+UxwAbeP4wOsoky2qLumbCNIaw8ZT6zVPNQ5qjFQ50HKiccoXyxqPBKB1FAs121m7Ye/f++liggxtHnSgfekTCwK5+3vVVQBEgWTUmxfQ+7saAw1C8dmviQmxoQBcb8BaMNzRa/xdmGLjqIb3Q58IY20YhwEHi8ogLL7PKbiz13ivg818GZ/YQNxd4SvPjIfBOkGgwcdvjVV61/NJ3/H+rv6jO3yffpHNVd2EEo0i69KS2YTojbkjY/TAjprfsR+99c/swzvv26ATs2xiXXW0Zfl00cdg+A51oZ7r6fJHnwSQocVa29yy08aZr9Hze8pve163/e6p6DOwSwK2rL0Tu/DyuzWGB8ZV8ZqxwKX4K2miqaXdTZXWaHrm/AfLhbnosQzLsAzLsAwfDxpaf/4QzDOYzQTIwEzEkPAOp+QxlYMxw+wwaWDAhjG69kZcQOO+M4lgEocpCN7k5kpTwp6YFwKf75NBRAnSLn4jXAHKfNYtZSvpql3JX7adzIbVYhI6BcpcoPP0ZxIC+u4WFRMa3xkeEASjlvAwF+PFPtzBgajhmzjyJQCda5skAI46YjBiggJ4CC0cETByczMYs8qlBxafxSwjoSV4TYL5hxlHgmukMA2EBiKSAwXu+Uyf0tWh3DpogTHD0BJJvCeFtQxFXFVXS1apF61cy1ptJWP1etrW1wWOBJZWV0u6l7dyHfOzvAuXkrl0nukM0Fgc2an/Tut+MjOToKCaQnpUcEFAX+ePAHMNQSxcz/jph4Q2hIrwJAjvQeMU3vSDMsLp/Z7+SNvTp76pT76td3QPMBwJ+C7kS3jMCFhkVAbWZTBLyx45VYGLtbV1W9vYsq3NbavWVx0sAUaC6Vpwm41A7bPzC6H1vBz/7QP5DnQJ4eL1R1KFBjr593SEPY/SKgtrbnKulUHzEgEl35NJZWLNCuZ/aA/pQzoFei6OiwCJI3z/PA8EnlNWp4FoAQ0yWYAxGtZQL2SO96ER5whgOehFCNd79EUADwCIQDzqhUC9IIBiSkbfwn04/akhYHRycijAPw7lkuCMM5IEQE15QIuHhojgeyvpj3SDVqlm1fKWwM+6vfDS5+zy1cu+9xHpXrly2T3f4f6c9WQI55h7UQ7GANY1BcCuPLo2RYRT/vAah5aYvlUur4m+BfX9ia0KVKzWr9qrr/6yffDhu/b8M6+7FouNY/eO7nofu3L1eTs63VM94U5ctIslJUyiuYgAXTBH7AgwjTSeIMxHYP5iPVH3OGZxE1nKKnqw6S8aElqJTwBpnGDtCd8BIKAVA4BO2JB0qvRiAkVT3kUznlYv0ziQLmhsnVt3eqoxN2/TAeOYgG63o7zGVHci8jxh+wd33QyR8XcuWuKtDq0q9QqwxNkGQBZzPiaMTo+PbCqQjGMBbxM6ENoZs3rdtq9n0w/+OajAeyGbyCaSWfvi537d3nzrW5bMqc5VDsrPQeCM1og00aYBIADRvpWC6pCxkbJz9nf1xzpQTI4ZD4eTlnVGe9YdPhKtTzSOt/RuWylj9qf4pE0+1W5JT4X3MdnzqrIy/lA+NPbBsx2aKA7WBIX65dDXPZ/+vuLzO/QNpaUzPCMAECYKaL+0B9yYl71MpEffo/9UajggKdjKBn3gwD64/af2g5/8hT0+2Be4XrdC+rpVitfVXsNaNTf59jGRDqp/3oznPq5lMiU7bh7qmb6sep2n69acFq3ZH9pKoWelRNbaZw3llrxDz0AX2mQsDhhnfVXfOh0m5lhTx4RGT+1e7Ve0pB8twzIswzIsw8dDkHB/zpCKw2QQxDQw63fEWBycTKY6NPSLGWDKgJYI+2viTCQEsPGnaxhmmNsAEIJteWCypK6z4oZ1SrznEgAPlF5SDKJku5lNW01tWm6es+RMQqJlPEowKeI7Ysy+OJmd98NMG6DJZ/BgePpqZJMNg+ObgD6EIfLhgEjxfdNE167w9VA+vSAeBNMUsBOg8R3e+VN5MWNwm3DFdxBIfvybYQ8VX4Ashs0iZTaZZcGs00dxAW2JhJgwu8ZnEu71i4XxhaIE7bLO1YyVaglbXU/aymrSaqtZq67AmPF+hcZCAlklYfmSAEMlbrmyWaYU07txy+t3XteZPC7GWbvBrK9EAvHYcCDUIHQrm8on54hGADbiuHACM4cWTo/zEOjDOQhK4afK60IG9A1CSHRGQETTks8VrcSMugS3SqlqG+ubtrm942uL1nW9urJq9ZUVgaKa1Wo6BI6Y4S9XVwU08Jy1WM+jA9MvBJZgirbIR5Sxf4NAvkIez8NTPz8xTvQdBywqF/nxjWHRzAgMOdgTUOIaEIe2AU0P60cwWQIoucCs9zk7cPJynN8//0ZULuoqABm+SZpBc8a1hPAMTh8A/+RFQpnyidznAFcvQzfei8qDyR2aDNY5Uc8I1Xgkm03Un0fqP3r5WAI18djd/+SEvXjUplR3StBBkK/JI1/KO2aPeLNTot4nAWDQBQ1asVyyG9dess997pfVwtAuz91l+6XLV2z70q7V19asWlMdV2r+Hu2QvqMPhnpmzQuCract8K92RH7RiGUEPvjd73W9jLSx3Z1nJFC2HLBe2rlhSQGIDOlISN6sX7FKbs1WSqs+nu3uPCsQNFE+qwI3Nacvmhw2dMVkjjECTR1lDnnQWXSAPp5F3UPrgkOKbIb9t9CEFr0e0LBgWkeeKRcaaD+PVAYBIpuo/jWWpWdps77SHQucqlzTkQTw9Jrdf/SOJbICtBpfxwJJrC/DSQOTKL63koDN0dF9q6tvqIUo7aBJQPPD+AIdoQvNF7ogUHc7AiMSpFnH53UtMAoADeQWcBFNAU30qZHGUfbjoXxb68+ojFV7+9abKpvaEmMeY4bqn2+FdgWAAXjjCGegdtNVHQE8MclUVNES803yFRwV6EsxxkqNG9Oh9YdHNhgf2GB0pLK0lS5jJRNUeld1RzslLoHvuTUDIIn2prE58mjHx4KJNflSn1E9pxPqK/AngYxoYoCk3PpA77npHtcCyeQrmKdxpqxF5TfkGcCJSWdSgNziqu98xurrGVvbHlln/DO7eevb1hKYMcuLpttWyT+j8ZS+rbKrbcF/fJKM70Ev5WVjbd2Oj06CtQH8Rm0ik1lV3ypYfzC2zWrDYgLU2ZjaVrKgOORXmYefiacEntbx9jWP4fK/7cBoiFXEsKU66FHaZViGZViGZXgqfCZrkP7sB/8nDfAs/lxokBb3nfHpCIKxmLwJIAEydI+dv8UCNGjDeJj1wpwEsMKMqYSZVFn3JBwoMWbAYVIu0Ol3mHEUg1KaO+lVq8VrEpSySitmg/nA2mIIvUnHwcZccZkFhSl6fvSfCzAwEDGhiZgOOSZtZ6z+LOQc72CJGGufWDMiIUL5CGYzxA3MF4GBvAG0glkaWh/MkBA++aU0KSmzjAJD40lLzBQmSVS+G4Qln/Hzz4I+eBQWJfs3EahgpBIEYKTspQOoYePYfC5jafZdcSE75QfCp28SK6AzlxDDbGw6iUA5lzAUHEE4Q9a3AsMXTRNhAXlwGU6+PBuKx+9wX5/1OE4feDB50+FlJhFuKmDjTpQws654Onx+1AsY4hAcBOhggTHCLI4XypWqgI8E4jrnumuJLl++4euMytWqwBF7G+mMl7pqcMJQLrLuKKw9QiODtsKBksp9EVAQovNfFVy4uBCe/ObMv8Xvi/HOr6ntcH3xO/595SPM6oZr3Qz3FS3KI7QMwJO6i4DRRUC0iBf99gPgFMAUAjnvI8i5cwYdeDNjLcNMgrR7hdQ3yC9p+XofpYEQ7J7u/AgCrWtm1IZJlzi0d0zwAAV4RqOv1tfqEtJYpxLWUSmm2rnaLGZ9+k5abdtdNQvYu3YA0uhAs5lQO80LIO1cuupap5t3fuJ1Vq2uu+kZ9ZhzLUVYT4bAiOBInsk74MjXuzgtlaieoQ0hIHgryw5KOp2GC+b0WdLi3FH+N9d23SQQd9qcyXettklDlaArkKG+ur1+wwa9jr6BZjLvXtvcVb3GFeoQT2Wsz/H0RXuaQaCVvq32PJPgmlEeGdagm+9HpT/ioglD60l+cLBAEZhMGfdGLrBjqswms8aWVD20dhMb6bvUSXLO3kYn1p91rZRcUbzgeZDxh7pnbyImoXDUwdiRRo2sTIlEqqecBG/oBfAJJpYcrMeiTICgQW/g2jo0/AAYtF64Y3dtPqOC4vli/4QGBJEf07pqZc3+4E/+7/a1L/+O8hH6HUMDQIXxF0CJmRvtlbphnGX8pF35eiXVHbRSluyff+v/Yb/0ud9WexLwmPY0sqJ1530dbAXB2Kg/H2910K71v38LQvC/gwz4C9YH+qD3GfEc2jPPuecTUfQfdwqkd6hbvYe20N3czwGajNs6VHfUjztRSQJmxANUTrxusk6Iek/Gs9Zpdd3ByFzvxhNDxRfN1W7Y5Hc66trJyb73yUy6on50aL3+sb1w49dVp3hixY256liZcZooT4znR0cNyxRmlkvXRRON8WpLzeaJ+so1geiG9Ucdawr072zvqj+K71lPaalN6X3qC0DZaw/Uz6h2QN8CgIpemNr9xhf/UyjyqWG5BmkZlmEZftECUu3PHZIS3PHylknlNIgX3MQMBga/gnHB9QA7MV+TVHbGG8zLTIM3ozjMDq1PYJ5B2MC9rJin2ByzcoAmmDqLTvFglNe9S8VdW89uOuNDw4Od+tnwxFo6gumamCWzhnBdBc+PvjVHqOJbMDwJofq6/jBpIbcB7LCOSuxU+cUEJnjGk5Sp7/TELFlLhbldAHswWMCLXlRwEUI0EdBjZpN7yrdeFmMi/wNPf4ZnJh0wKzLmDiz0Jl783D02SSmfaMmgB4IUQAI7d4ARmgHfb6UgwSLPWiP9LuasWMYMDROujBXKaTHRrK71rCJhtZ6wUhWtUsKyBaWRQ2jUOR+zXEmCYWmuNGaWLcaUbsJyxbji4RlPQm1Rh87JtCghkITPCoAWG9yKhMonLmR1LxueJdOipwCKAyzJE+L3VLMO0ccPrhXHzfskcKUE9vLKs0DOytq6XbnyrD33wqv2zPMv29Ubz+p4xm4885xdunLVdnZ2bGtn21bX1nxT2EoNBw0lF6gR1AOwCHVOQBj4uYLX65PTk4CAcQ6OQuBb0RH9Rlh07SpnEYIZ9pS3vQCCXJh8cgRwFAAPv0M7DWs6lNZT6dNSzkHZ4j+9i8YE7UZBwm25UHKTKAAj5neAUZyOKBVPx836vILojwhQaC9D3yBgTor7b2bJTwQmACkbmztq/3iKy7rg3RboONIz3B23ey0bD4cCOgIVaAQLmIRWLV8tWrFaUVsr2cbWtl1TnWKKhtc86DCLq+1lMZHUewJFvMv+UBSJogEyfIY+ifcuNTYF+g3AjXUvxALgsa6pIJDT7ZwpzxKqBQBESdEib4Nu25194BnOBWvFZ68nZvFX6lsClR0fx9AsFfM1JG0r5ipWyJbdSyeOYPCoyTqScm5VIwRjH/HV5pBolQfXqLNwXrKuO07Qs/lEfSWWtVFf4r7ADqHTPNNvTHPRzmi8oe8LqHVa7TBWCMiMBEBdozLW2DSU2NuVMK46r+W27P7+TYvl1C7UPmgDTNSMAHRqDnwTzdBZ69Dr3L1fajDqqvyY3vnEj3LP2IMmsHlybOPByE2loedp41j1l9F4ACgkt0yQqE2h9fS2A+ug7QQPcNcuv6BvzuzD+z9V2ozjKj/tWM+Z0KGPa8QXyBtad9gWAFWZvN1Rj4y05Fl0EIgygYWc7gceEeouIdrHk0xS0R+SjKAqj0ZJkXzGYKJ6cG2n6Maf00PABlCG6Sf3QRyM8KmkACOp+ntQQWk67wn0ABQycUdfAzS5OSf1wTjOxB7Xeg/+xSTTfBa31llbwKcnwBO0VPRIeJggnqKo7RXqGkPzGrfwGnjbbt3+M3v44G3V+1R1IrCcLCvOtt5hkmEkVsM6veDgY2tj25rHZ8q36iNZ0BhbDH02W7NpatfXq44nTesIfG1WVlWy4KAhjBOYhM7UFuCx4qHkjUlJ0ZYD89FlWIZlWIZl+HiAQ/zcASbHbHHGUpaNSxhPSXCXICPu4MyEWU1m5ZiFYzSfK54zXX6L4SgFMaOUxm4xH5gQA7uukT1d8BEjRGDDM1Q+k7Gd8ra9uvUFu77yihVSdR/0+5OW7bfv2H7nrp32Dq0/xt6ab8KqFAHmJwYBM/PZS4RbPQngA66BgCG2R1QxleAgIjBdcgNDIjCbOBp3JTQKKIn5UUhnVkrfzwAamLX+1y9//2LawcyDbzMjjpmIBCBmSUWQAKCiuAgCCBYIgwvhmCKg6UmzO39GjFJAVMyX2XSE4WjtDZtWlkpZCZkpK1cxu8vqLKBUSgvwCPiUJIAUkxJaOWJWXeUsgbAKkEoIWMWsUJ1avj6zXH1qmfrEsuWZpfKqOdYwFSeWFpDiSOX1TMCqUIobHvQKSj+b1yEglxNTFo4Tc9YBeFJVpgWoXBsFOFCdsocM5UGjEJMgxUJ1BNhKpewe6ja3tyWMb9q2zru7l+3ypSt+3t7e1bFjGxsbVl+pB/fRxaIDJBbER4ADuhGCsBCuCRGdOS7+jsJHf+vsl+dxnw6Kvbg6Dxe/6dcAQ51dK7jI39PHOTAK137QRhfvEqK8cfgtnWnTZIs4gA1murNqD4Vy0b39oaUBbKB1oZ0yqx/eJ1+hbTMpQJ3QhhywSIBCOO+2W+4Fj/2TWAt0aeeSAyxABdqHbr+rPsHz4EZ8ongOUn0dTkgvqwPAs8KGvqpDTCaDx7u52mXFSvmqC6x8H/CPaRxmgtCBPoR2KZgNLtYakV8vN57CQn2PXTsN0C5af9iT8IdGAC3EzNcUsT8Qoi1gkQ1xMW1kE1wEX9qdBgevRWbZ2TSXvDEehXFAdNIzwAQTIoVsXaAoY9Px1AVsn8SJi26WtvRc746VEyZmhgJI6vKsK4K+rOXpnHUEfKYa1mLWBQwJME0HQ9c4+TdER2gZNGQCVypjXGVNuFYJ99Qqp0DEWmnD7jffEf1WlA/GWQDjzE0e8RhI/aQ0hgB+CqI/oFUEs3brTH0UkKCvkeZ4YqPhwJqNE2ueNfRdNLoZCe5oIeLedtyRgdcP2mvqIdQ/BPMxTmn9zq/9e/bP/vyfOFehbpyYCoyNcfGFscbjzvDE+iO86w28fTH++pjJ4KY0WNPFuivoHXk89Q26VS71CsVg8oya0X3dA6N4O9A1+aAu0fBNfI+jvq4ZY8O6V3URHcocvIbJK+ULU2jnPWp3mIT6fnaMzxqbcSAE5gXkAV5Ts6rqjG/R7pyUOuinuF0f2Wmz4VpCNGMJtYWYFVWunL/PJMNYY391dd12r29bIndqw7EO0f2DWz8UcJ9ZMXPJtlZe1bhZ0/fVJny96sRWV6s27ifdMx78ELKQHyZa4omK6nLTssmZnTXu2Vx1uVrcElUoJ+MIoBvTU+oK74i0Y6w9aFuB5suwDMuwDMvw8RAkjZ83aIx1hkhg8BYTwqYbkwmxVTEaASQJQ+5q2N3TinnMBZTY2n8mxjQhjgQKCRyAiiC8ISxgFsT9uQSWnK0VN+zVnV+xL1z7m3ap/KIVEhKqJIhNk1NrTk7t3uCxncyYfZ1IQBrYQN9kDQHHeALwEpNA4CCfSpfiI1DBKHwfJn0nMGzACUcQsBG+YHrOS8SYuGaWz23TdXDWf272jbkJtumuVZIwQVq8SDqEMAvJLf2nF2aYjxiaJGY5Q7mJACOTaKZrlU9CDMJjYMwwXwRnpa28IFxgu48Qh8CXzuI5jRn0jABDxvIlXZcFlMoCQPoNSCpWUlYSIKrUM1Zby1l1LWsVHa5hqiWsvGJWWRxFASgAU76EBonr5OKQ4FuIh+uqjlrc1zqlCqqrIiAsprMJWAks4Ya8kBJwk+CVRfuFVz4x7RxrGDhEY8zhdGAOyMw1XrXYd4cNXzGpW1lZkaCwamu49V5d89/1hbkd4CgsGlf5BbYQ8IJgfU73i+FJW/2EwLPoeXTNT78XnS+GRT2qIXutfVKI8oEAF52j/HF++ohAUvRedO0ZWaQXBc9fuArxFZcNmwGKCLbVWs1NE1l8j+kabTy4nF6Y3AlgR2XLArJ1BADFuoqxAwnAe0pgfF1gFO0d67/cRBNhVP1AUrYfbGrMWhfaOHkiXdeQOejBici6ra6t+712G29qaA/RVLFOpyQhEkGWvcFwrkH/QRMYtGGRw42LZSf4+indJ68qvYOocA092ER2pntZF1C7fYGibM7NAkVF0dVce0TfwhTwrHWstIL3NPKAJsUdtehdvuqz7uqjEz0nX2zUimODqQAhzlkksupPwvYoZpPOxMfBucadyKnFaCh6tvt2uH/o7+DIxg8cV+g8GwkwUCcq40xlEIF88oB1Ph7UzNISxvuDro9PG8Vda7T3bJoeiA451zhBUyZeAEEZJqp0jPC+122rvGEtkpvf9XGEwFgImqG+aVec52FB/4SNYAuKC+CYeV/0OoVoizEtaqu662D31Re/bK1m0x4e3naaRoHyYJqLBunw9IGAUlhbpBT88HQdbQSARLvE1GwwaunbaNzxsAhYoF0pPpWhwyffHLBEfS888HVOk74O2m5PdKHMjJ2K52ljwl0TbTgo10R1zqSX6sHHco2x6ifo5XzSS3UK+CX1ZLzi7QEQhXMG2jqTWBQXy4BYgj6BVoZJPdXJjIk/0Ui0x1EI+czmK7a2uW05jZ2s42q2P7B33/uuHR8eqB3VbKP2utUr1/SKcuaOhGa2trJujw7u2VT3grMJWrjKrLE/lSqJvqJlvGOPHt6ycnbDagJJuLuHT4wE0rPZgt6jr5MVAXg9g+S+RcYyLMMyLMMyfCycc7GfI8QR2jXaxiQ8ADRgUhHzg8HgZIE1QMxUMtjPsbdGm+NgSNHxzqMDMMCADYPBNno2ExNXDgFaK8Vte2nnl+2Zlc9bIcnGfAh3KZulEtae9+zReN8EiZxZTsREMFMbi3kO9YGhGJl7TxIT1y1lT98Sg4gLzGCuAQMPjBGQFITMMGMfwBJcBecKCB4IgmiOfHYSUzuEOoRNxWFtE9ojQBIzyg5gdEANFwTE2T3f4qb8hqW6GcZMzH+OAMB5AbhghIoBecgzs+AwN4CXu9OF0UFfz6OEYgmUgKR0ioXjOqfRxgA0BIgKmMpgviaAVMHDXUZCs4562koCSQU0R9WYwFHKqu7sQcBpRQCqktSRsgqaKM71pN6NWVGMvVhMKi2BKb1bqYX0CgUW5GcUX/cExCoVpe8ASgAJrZRAVqE813vss4OmCeaOoDQSXcaWSIlO+q3iWSojoVmgB+DDgXYIV9AAJtYd4SbbnR4s1hyFvY4QqoOAGYGNKDiQWBxPh+jexfNH7ulAOIoCNeNxvIYW1x7//Dr8/mhQthYX4Zp8cuFtjjaxuI7CX/X7Y/f1Kf+tgzIDGKCJ0050w0kAZm44gkB4pI8osqJLIFa7IiXMsIIJm/rkNDhSGAz7ruFjf6lKvSZQWre6wBHridII14oDKMo67dkHCU+VmDRNXNOClzkCplnkAy0SWl00UuSDPkoe0ICi3fI2v9AW00/og5SFg3KdkzSUn/eI64BIv1knCPBjsoH4kIS8lktlOzo6cMBDGQF9gEX2fFLPloDL5EJOoK2pcqTdyQHa256Aha8/0RgSF+hmDKOOGRMQ5B0MipTcBwSxzgugNB+oXFjO6TeCNFoChGomidIay85Oz0SDoXpv2mmt0ngnRxsFMPRNhFVmBPVURvWSS6tPMDaGsYX4vgZokrbN6mV79/EP1Sc1JtL2vU3OrNM9c7qz1gnnH81Gw8Fk8CI3FpBp0Fo1mqm/KU03Z1THBEwCTKEVWizaBdoV1uTwjDqIqoHxLGq3dDX24/nNr/ye/dGf/WPRGdCgZ7pPHIRyzDFPzh4pd4FuaMdcC0U+4B2Kj5kadc/CLUAL7tcnAqKsQdLIriOM7REoArxhRseYSb6eeIRTO8AxDybRrLVKxjVWZLdFgxUHNNAA87IRXkqnPf1WXACS8zDVoyjpY4nS9EM8axIb2vHpqYBvTvEVF6ciDuDIL+080IFm4rQRsGIykDZPum6pIP4wHLUtJUALD0rnBM4rcRtM79sPfvRHdvfOewKzEytkLtnmyheVZwDZQP0nrTobWru/pzIxMUemMEkEjAlIZzZEPwHMwaHde3DTVktblhf4AyDNpkxSlVVulUp8lk1y3bxb5YGmy7AMy7AMy/DxcC5B/jwBIQKbZx0pTL40UDP75dwU4QJAok9h/oFTBDxVMZNnYlT6T8xD12KuektxcTUs4UlMi5n5TCJmlyrP2vP1N6yWqOjW2AUvRFaJcG5S92HzPWu7yRusgpk65UffxwQD5uQ26Lrv5jYSUlg7gcHGVIwbRsN7rs1R/gEoCCYqjJidQJwYHbHh6DDkAGB0TdozvOPh/huzEN6Da8EsxVhdQENIR4iT0KG0XGBXHIQG0oRfIlxQkjngSMwWAQdBx4OSI6++WFoM1k2glA50cjMQBBMdaJBYFJ6WsMFu+JJpXCuTzogxSihCsMHkDdO3nBhtoSDhWUAmz1GMO8CpolFawdQuod85K1Uxz8JML2l5gaJ8ZWa50syyOjKsVaoK6KBdqsetIGCVExjKC1CV6rquoVHK+X00VXjOQ/4t6XmxzF5Oel4KezTlCphOYXYnASI1smR27hon9nwKZoPB2xtgzwEfYEhnPySYIzxHTgqCYB2AkQMGhej8SeEikHkCaC78fvLM6z38RvhatBiqJ4ru4eI7nxTUlEJ9kyf1EeqP6/M8h+4Y3YvyHn7rWJRPN/xedOim/gUw7yBH4BiASb3j3Q/PeQAmp5PohaCMpg6h0mfIEb4FAEjLwRGaXvUT1i9Vy1V3213SgXdBcsSeL5gx4Z68UCpYIh33eyzih0IADMyiQh8K+ea7gAyEOEBAJFgHUC8AXmDfIsAJkxAE+hi0DDQgUFQCaXp9K+94qyMAlgjuRlzv0W94nf2QWq2mxoSut6fm2anXIQBkKAAI3dAWMS4QeHcsoZlxCNf+Gq6cTq7VEKgjE/RtdzbDGEeJF3VO2RLTUHcz5H7KrjLT1yeSmldqm/arX/3b6q9lGw1Za7Xua340lGjIYCyiLOrjC+2Z006He2RUe3fX9yoD6z1jaJUFSteyOzYQCDgZPLKy6gqzPWVXpJ+q3KcBNIasuFYppTYxHPQFDPq2t/fQTTGZ2AmbMeOOPq/6oK0wecX4pjypfJj4oa1hg1g0E9QffYIQ6pL2NLMvvv5rdvvOLTtsPeCr4ZmXQ3TWeD+bDGzApqX6jZYJWoU1PsqgaNvpNZQXgUSBu2KmprGAtXOA97ziZsM5AbjAXAza8hnlKZnTd6BbWXVbt3x+R2PONbX9ywK/a7oPKOoJYOxbd7Dn7sNH076bvU197EfztOABArMEmht0c2968ZHaydy1Wp0uE1ZoF9GE0TbU7gU8cG4DrfpDAfRUSb9Vh1hKKJ2h3iNuEmAELfVt2hVrMEulom3uVC2Va9rb7/+xvfnmN61x2lJdFmy1/Dn1u113F18q5uzx/j1xC76tvKp+XKuplMdqr/nqir7Qs72Dt61xfMfWStuWS1V9YiSsZQ08KOw9qO+L5+B9dRmWYRmWYRk+Hj4TgCRRBVlIjFlCPMxUrIWFypyj2WqENxiOz/wpDmuBJMJraIe5sMgUIIDQCCMGCCSsll2zy7U3bCN7w1ISPGbDoY37Ymqjrp2KAb/9+Jv21vFf2umkaSOYuQZ7hB8YzwyzCkCHzmLPYnQBuDgwmkugU7amDn4IwJKwx0twliCmR37FTGICaA5GPF09k+DnJoD6DXMCuATTOACPmKT+VLjwWykHoZW1RGjNVH4ER73LnjeUm/8C4ALCQZeQlpdB35tIQIFxs3A5KaAF4Ap54B50DTPLCBsuoDEDH5tKGEEIRNhic8+4BCWBnLzASk6Ccy7pjh2yzF6W0q71KQsMlasFCbwCNhUBkgJaH0zlzLU/uaKAC8CozG+BJF+DZD6zWSwCuFLuehyzETRSXOcrGaUl4FXnftwBFL9LOgBKHOWKviuA5sApJ+EzgcAioSw28RlZTEciV9fh4DocARgFIZIjAgwXj08K3v6c+CE8ufb7F34rRHGjQ/+Fa28PxDuPG4Vw/xPeXYQoV5zDrHIIT+f7/Lf/PH9PF+fPInAlGuhwr3cOSCRUZgQqJfRGrsXRwJXyJQcH9EPS4V2EYfLn7V9tDa0ke/bgChsNTACqOdcidLs99REJtGpjhZKE1aQSkZCXEaDFYyKaEt7H5THAiMmKyOSR7+BtkbQCwM24gE48NDcIzb3emcAEJlWhjUd08/IpjUibhLbQnTPQ5tW36GdovOhbABnSIC59ks1sXSBXW+p0m37f17qoH5EuoACNC/kZ4H4aMzT1o+GQzTRVd/RZ5YVtAgB0mKgFIZrJjgXtlQ82bOWP1mHqbzPRhbqg/ytbNhpM7OH9RzYZxOzRnUN752cfCrSMPP+kQX+mvGiDWePlNKHNCyCxWTK0A8zlUnnPD2uBMOm7uvq8PWy9zy31y5LyBt1Ej35LdEnZsI+2am4dASR9SeOV6pm1U/oeHvSKuDfzfAbaAkh8jVES8yu0jCCu0Fa4AOzGRP8nEzkK0AGQnc2W7Ne+9HX7wz//Jz4eqal4mUQapZQSrUvWaO4pfda5qTxoOJRxX0Onc6t9JOA9FRAZW2+ocV1nLAF4GzpmkmhCV/SdVQeYucKWjh2Bxw0B/ZIDZeEVG8461hvtWat305rdm9ZlL6XxgcoetFHQm2TDmA/vCWO5j6sKPsbOAcSqZ7xtxLui4ESAOyvwsifmkVtoqELe5vO06knXSpe9tRiP0ym0omjSgqYQsz14RipVo+m4i/a4vpfHJLqQtJ1LZVvbGNvJ6ffsuz/4I3u0JyA3SFk2fclWqi/a5tauHR6fWKt/29sg1gsBmOoz9KHCpuUqVdCbvffB2+oDA18TTNtHmzVlrZvyQX3QX7jvGVmGZViGZViGj4XPBCDhrY1NCiWbacAGGEi41TW/GX8lQrjQ5CDKTWBgiEELxG7uwY5cjEq8iQW6xfSWXaq8YVerX7ByfEXv9G0w7lpneGaN7j177+Gf2w/v/qHdar5tHUzx9Md+QpMp9tphViwADWaTxehgTgAJgIoYBjOP4+lcgpBYnoAakE5fXwg7YhyUB9ChAiATuDDM/2ASz3v0G2YKg6EcihtjAXxKqVPiILy6gMfhdxZRSUf3kIk4wu0gHKE9s4V7WTZ39FlC0Yr88ClfQ4DGzmcBwyw2M8owX6z8AVm4B4exx+OCg3GVVnwQIdU3JE2JcbOvUjZpuFtmE89CPmfFgoCRwFOukJVQrXNewrUAVTqHcCYwBaBiDVFOsl9WR17ijo4c65wKEtrwpOdaoZSVXDMlAFRiHUxBR8ZKVTRHmJMkBIYw2wIc5a1aK1l9o24rW3WrrpasVJMgiKARH6s+lH/lPQAh6uIiGIJ2nMPhNLxwfTF80r2PBa+ni+dwHerkyY3w5/e8MXi7PY9zHj7yjgNeHS7onYeP5+o8LQ5vZxd+c3gsrvUXyhsJ6NCHA+AIgMRUC0Ccc5NEnBSUqxWr6nBTRL2H2ESfHA9HwURM/YRn7uhC70PnaD+pvoTsZqttra4Ez37P2wRtDKERr4r0ebQM6ytrtitBDs0DbqbdrbTKTR5JBxDCgTDOPWiC0KYS+O9Orxm0FovyhfoO4MqBkM6UCyAGAemvgIleH21P8GiHNog1R3hrY10RaZVKdWu3WyEtHf1+W3clvStg0gZgQosCKIK+aGInAlyYb6Edw2xwMGzrXfUyn7QIGifySD2SL85K2jVqaOjCeKI60bPBeGLvfviOfe8nf64IZv1B2+7cfc9aZ0PRHO0I8cMYQDmZDEnEWXdFn+VQ2TnrN5M9lIHs06/XMptOs6ZAANrAtMrB3j+sgWq3T62YL6tc1PHIjg4O1efLSgOhvKw8S7AWPQFb1EHYQgANbUHnrH+bOnIAQ5tfjN+hrKHOOKgMxh6cGPzK137P3n33x3bSeqy4WBcIfKhc9JV69ZI92H/XNWveTpU+3w0TBTM7bTV8PGKvqQmWBBoLh+Mza/fv2WnnptJ8X8d7dnT2vp22b1uzfcdanVvW7t3WcU/XD6zbvy9637XR+J6y21D69CNWFOkb9MNBQfRTJahusGhgjSptgUkpZZGS6TfvAJJGutZ4LJA0VlnQ+qayI2s1O0QUQBLPcXUhIFLvqUOhXfQ98wRHk8m8vpVTXeixvo35eDC/y5qalNougBRGOVZfidv6ZsFWt5m8u21v/vSP7Pbddw0v7rFp3a5tf1ljdN2OGvfdGyBrrBj/fZzg8wJpxeKu5TTutjsD+/Duj9XOD1SnyoO+B2+CZU3FYzkwA6f/LMMyLMMyLMPHAyPzzx3Y7RuBC6FCsoESdT2NC+0BDQCWwkAcMVfuw3Bds6Jn4qs+o7lefNZe3Pltu1L/suUSRQ38IzGIgTUaAkb3/ty+/cE/tTcPvmd7wwMTVFDamOiJ08C89U0HSWLiBBg3WhiYL4wABq0LvcUsql7Ru5hWMMuNe1lm1Z3pI8HAJF0oYMG3BDi9j5mC6YyAkk4iyGPyknMBDXMKPEalkxJqdObaZ+j0ScrpTJpCkpqy5971lAdo4cKOrlzEcPNCzO0AQcxqsqGtIupdwNFY3NLzqufYpkMf6Ow0jwE6dQgguXtz7nkGAH8ImpSBRfAsmhfgyWLehvlaznI6Iwz7+oe0ygKYUmVi7oImJ+yDNPcjlWU/JTH3nOpcYIkjjamcgFK6IFAlsJRGSyWQlC1jhiXw5WugAFBoptAkZaxcw0FE1VY31gSS1qyyXhGQykmQx6xOdJTwEARHqo06DC2H8PTvTwsRsPik8InPuOcH17Qr0VMHgp6DkycHdF4IKBfuhyQQCHmHZzqr0oPL4BBX/z2Jx4eitPxg8kDxSDesqdEzzv598oOoF95DQIJGXrcI6boGfCB8AnbcVXOp6OuISpWKVeo4tMCMSsKSvsVsN2tnvP9KOCYEmisdtQf26qF/nLXOrNft2kiCNuAD81Lf1Dk+Vfy5gHXRNrZ3LK42s7f/iKxZRWCM+PQX+rkL/voGabpJnKovlA9AgnkoDhJY26F2pniR5imqaxeodR8ahXsS+9RuAzgKdQONEK7RYHV7bdc2uxmh6INzCl+crj9M8eiO0BH6jlWmOOCDPqu76i4q51DlVB/UHdfmqq8BzDCtGrFehYkIpUVk78M+Xqiv+TChe6KpjynKN7T73Od/3b729d+151551V7/8sv2e//u37LtnUu2UlkVvcOkjNcdYwl00jWabJ/YEW0ALphaqRDKs3I+0bii8Qvz5NXyZbt18q5NHeDRXlRH46n1u2yqOrd2t+d1cdZsejvMlwoOpFjDh2YQLWMAYtTN4ix6OChVXqCRr6PysVaE0wG9w5YEXNPGQ5vEPfrnX/6S/cX3/1DvJgVCGJcBITMrFTfc2YC3C9GM0RYwBw2pl7POmYMAH7MFMDSyiB55XQO0BSM0Hs7mA51Z/8kkGK1FD0R3Apo/2gDvhmwydhUcbM0FQgDPrVaox/5o4O1tpGPgXk8VR6ASZwpP2pNoQ1+kvWHWxubmmWzaumxc2wc0n6ke1C7TiqevKqryGbeeADBtRoUUDVlXS5tVexD9AF2kBbnwSuqaKgXG+niiZ2ubedu5mtc42LYPb/2FvfP+X6reTmzUS9oLz3zBDvfFXeMTa+vbfaU1htuOVE7RKpUsW3Vlx6q1rB0dntit2x9YvbJi+VxN5dCYIL6F84hi/IroWrBMrurfXoZlWIZlWIaPBiTznzskkxUJKjUJ0zUNwDAzjfwwFYQDXaNdCs4bED34TwLIBW0OzK+SXbOXL/+2fe7K37btyosCGGGX+a4EnEfNm/bmvT+xdw5/ZCfTrg3FaBDPnEGK0WBKNxmdigm19R02EmTjRAlDel+fEkNAsMK4BACi74tpoiUCXLFHBIuowwzpAlg5kAhgghlDmHzC915BYECIcold/4KAGuy4AyCBzbP+itl0fntZkbYcvCg+IEuvu0mc/gguVGHKoXPQDMH4YdIIccE7lwsgzHSKrpx9QTivOxhSvheHM1+9B1CKZt/5zOLk7zC7jRxIVhB+MI1BMHTNGXQSvXy2WsCPNQyYw7DTPXFYjI+5XkpHRkArgClmrRGs9FvXSUz6XOuEOZ9AUiErgSyvM27Gw+8CG7zWalZZrVptpWbVelUCQdmK5YLlilnFyetbCNRhdjkSkj/p+KTggpPXwV8fQtxwjkK4R5sN96L0PgaGOC48j66j8xOg4wKk6seFuotp8BxhDPM06j8crPEJIFiHAIrH8W8jDIb0qV/adqRZQRD3Q/UUtXnMshB+ASvVGjRGi8S6BICG2ozIB3gmf5HASeBdfcHX+OBxjjyQF7RHbopEG1cahVJZ9VW0mQS2xtmRa4CqlaptrG+5+RZaWMCDAzjyhfCP8K13XUAWkAju3lNWKtS8/Ul09HIgUBKieva2/OQ3ziGy3nehCc9oCgGQ8I20a4/QKKGx6nbPRLeZvpN0oZgxiQkLJjrQ5jgduAd9lTZU8M1NVQf08YneQeAdCxixXog+zLeUaCjH4tCQ4rTx9WV0tkUd7166bv/JP/if2+/9zf++2nPKNreetb/79/5n9qUv/7ZrdnDeQJkxI/PyKS3X7DiQpJ7TDmgAS4BEMkxduXtvtY2t7K5Ax8DOGAdFQd2ygQAATg9OG0eWFlCmLunTaAOrtRXdyylNtEV55Zc1igWNCZjWhcmd0LZCO4rGT77FRA0AI7TH0CdCv9CZ8oqu3/jav2M/eevbrvmHTGjmAK6FbEVAOG7N1oH3b/aPw9ECzQ7w0umeCrQVVUddH8c8PSUAn5jOcCsPaIHsVBjggh8E2gZjBcCStpCBRDrgL2mPR/vu9gSCkng3ZXKJMuDlVEDJHUGQf4CK8qIxFu+hanVeRh4wYoe1bRrvsinRFccXYVPegsY1b5/6Jsvi0MiOxph8hvwBiAJPCXWLq3bKnc5gugk4GyoWfKirsg2tVM3b1uW6rW7n7fD0fXvv5r+2x3t3LZvctGLuipXLNYH0sfLd0DsJKxRxDT63VrupeswLZK2KhmbHpx1Lx2dWzVfU54tusoi772J6V22tZI8f63vLsAzLsAzL8LEQJI6fM2CqNhbzmscLEqwZiGtiAjB2MRYdkeABc4XJOsPRb2ZY8xJQXrryhv3qq/+hvbT761bLryuGGKHi9iWgPGy+Z+88/o4djY5sks3aFM0MzFR4gk0dMa1otW9KyHkgpnQkrCJGN5EwNOsp3lBMQBkkHx5g8IHpMfMpjCGGgdAD0+cxM7aAhGBygtDm5kgk4syY2T8xPYEdN21SspLvLCkGlE4ipCHowoAoJ8JwMC+B6SJx8U5CTCmTLiDzLIIEAAQa5TVsHBs2+cNJRcwkjEE3MfIgWAdhBCcV0BH6IYNhShfs58cSKlgjEma3MfeghhFYRHVdYHZHPnRENa8f0IINdCk3wpGbBomZ4/whncpLgJJQkxZggSaYxiCYpwBJ0CkIcgierEfhfjIjkQR33hIi2IsnI4adzhV06JxFw5QWYGKtU1lAqeJrIErFslWKVSsWRZ98zlIS6Fh/EQTfJ8T61AB9oiMKT19Hv5+Opx+LU3RPz1UvUbx/mwOSB+ER8EMdcg7mWUGgjAARs/OcqUPqnraD8AYoCuDp6eACOaaVfmAOGkCSax1EL54HTYRAqfoNXuSgLWCpxFnCMI49ABIIoQhr5CNKm/xithUmD8jrzNfy4NlsOOq54NvonNre8SNrto9cyKTN42xhd+uKnZ2dKR/kcSEU0ub0n+eRNrQQvL1uPb9JK7rJV8wG2BQpTwGAhPdc+FwE0kXTyXNROtAC4ZO0lNdSoer7+aDpUWzRIOlp0op8zYs6PusPR+pjB4d3rds6UTtPuyYB4R9tE3GhPf2G81hggzqh/gCm9BHvV+QNgXyRB4DRzDsl7SgAz0S2aBuXX1A/we1z3EqZqv3we+/b/nHLWqO+3bx333oD0Q9thwv30CSAVOqTH0wSAIzSmbzOAjHQVff4LtMyOAPYqV2zD0/esxFCvwZItjpods7s8OixT2Ak1E/L1bo77qDtZASQYos+7zQkffod5aD9QgPOfMfbF4AGwBDGJLRrPI+APWcOnq/VLtmzV16w7/7sXyrvjFvskxU8yq1Wt+3Oow80vuQczAG0mDBicqfbPxWdTPnet2Z3X7/3rTNoqs0x8aU8xmivtE++icaHiSVaDZ72Zjb2/GaVcx2JispXtYmeo8UaapA/awuICCAppyrDQMC5qXLgyh0X9d58FJQWbUTfYD0aZcSNOWeAE6DLLQjE4vp9NGBt5Sv0U1gFW1m4N8Qh03i00TAGQEPGVfJLmf1Lqm8mwkajtvIBWCEdrBkGGidzAkkV29iNW3fwyD64/U27ffdNW6luKd9zq1VetPhU3xlo3KB7kH6qpfKp/6RKlshkxdti9uHtmxabdaxevuSgiLVJrdEDw8viu2+eej6WYRmWYRmW4aPhXOr4OcKQdTFiojCo0WRmE8tosC6KORUlMONFKQiDc2bC8RYlBpITc7y6esN+9ZW/bV+8/t+x7fINy+gewhgmF63hsd05/pHdOvyx9QQc5umiviHGJQDSGbet3zu0TvexGAsbPU7FG5D8BQBcAEv7bB+egmZjPFLBoGBsMCUYP0xLrEiMnIOd2GOYHggMpDLB9h4tCgBDMooEJgARmhwBDzGzeCI4P2DmG2EqKeHC16qzZsa/gUBLmcW4KDdf1e3AzGcupGUcfImxI4nBQhUpAjjjaVfMS0DJs6s86hpnDe42WfTxmVuuPVGBOzQNYqojMdiwOSKzk4Az8oAIqcRJx++RN/1W4sq2C3uYGQKQgsAN/RDU4LcCSBLqsqJJJlcWCAr0SUo4TQswYV5IvLB/UZjZdiFOAhyesNA+uQZKvzMSEnE1i6lHsVDXuSJhXdelNQnv+i3huJAvWzFftVyu6DPb0Bdh+GJw4VHBy7U4nv79Vx1RiK4/8vyp+/rfrwkfibc4Amg4/x3F4/6TZ4s0XBjyZwhdEl4FMhwwLeKdp6Wz4tBWL973NPx5uI4EYwRZgFFkWheBBBd21Vf4TX1iTsceWcViQfRmnZeAqMBppsDaBMDA4k/vIpRPJATiHpoZ91AenDN0rdftOWDCa2Ovd2qD/pn6mACf2vV42Le82sa1K8/Z8emRSj5T3QcTrafzDhjCfAvw5mZcCI2q56zaFHlmk1e9oBxFwOO8DUR5JD0EWEXUPT1X8kx+uAmeyI1GgDIBugB23p/IAu9pHKIMaAjGsZ7ttW4rD0mvF/otYweaJ8ruQ6TKT70Q+D7JoBUjbxweQvFc4A8aJD41tXQsad/45b9jv/s3/iO7e/e2vXPzm/bu+2/aw/u37P/9j/8vdvO99+yLb3zDytkVm44wdcQMSkBE6VJGL7+EaDLPn5df9ekTEgtgxtoSvlvLbLh2rCFg0et3BQZa1hBQbLV1dNpWW1lVPytZVoI39YvmyPOvvKOJp8xeJsqob4e616Fr3dQzvkmdMvmFYE9bDW00AkcBuGisUX6+8dX/wL7z4z+01uBEgG2kcS2MU1vrz9u9xz/Ve/qm0kC7BN2hF84ycBAxnPSsJ9DQ6h6r7R0IQB6ofjClpC2F/DloUb5FLdWS6KU0mOyazhnLC2p/V1V9qwJN4ksCQ5zPOgKiKeVXvOK4+Vj8pK/vdwUwNaCrrkifspE+Gi0/iy76jPdjxnDKmIylLJdJuMMMB4ACIuRAzV3Xoe2ziSw08nKqT+FB0CcjlB7aPuqYeDg8SafK+kDepmP6AnlAeybgJTC3ulm2zcvipcmOPXr0Mzs6+sCO949t0Ovbau3zqnMaHw5Lxr7O8+S0bb3h2CqraY0Nc9GwZ7fv/dTy4jcr5WeVfF68om/9TtfqFSYRlmEZlmEZluHpsODuP19ojzvWlkDSFxNsD/oCMENr+1oFNBArEnyqYuhZMVdMSBK2ubZlX3rxd+wrz/+eXa6/aAUJ2vBpPL0Opj3bb31gtw+/a/cbb1t/2ra5gAcCB8L9eNgUw39g/cGxGA8CDbNxmE+IiYnxwOxTCQkBmZIYLYwcIUfvA1rEnNz8zRlTcBuNoBHW3eCxCeFbz8VUfAF6jBlATNl4j7VMEozEAd1kSPdYL5BCCPX1Rsy8LrQveibY4Wm5kCWmK7atEyYXCGY9PQnanCRrFXTh+5tI8IDNMrMXzJ0UR0wWkSwSsoOACSBDKGBmdGD9SduGShsvfoAl6OQlkQDI+oLwrnKkZ9CD9SOkBfNHqCC3CAduAiLhgPUTxOMptCNg8ojwCfhkATm27ACfZJK6E33QCqSCQIw5kHup0uEaDgQ6AFW2bsXyttXrN6xSuWK1yiUx6F2rVy9bVedyeUNC/KqA0ooAZMG/pcpY0JQSke2Q73/bEL3L2VPkzK0L90N7WdDnY4eeib7nh35DXhfczg8XjBCo9IdQxOHXHk+CnPpIZKYU9tBS+1gIlx9NZyGkLu5HWploDxmOCAj5swWtwpozhOfwjPaNJq9QLBubfmJyV2TdCeDW44U1SNE3oQ1rAifqx6yf6fYE2hE+JegBYBCmRyOBpenQN1tl3crly8/b/Ye3VNaZ+h97sCQ9fpR/D+RL+fS+o3fcWQPDkN5B8GdDaDRUgHby7+BAIaJH1A6gnW7oKvz2iQi+K3Dd6bX8LuCRdUVdATkmFBgPxkzm6A9PfAi0mCMdd+4hE9towgw+mgyVU32FPo7GxL8zZ6VHItSDYtH2oSsao9BylAdFZSNPtEfcQzNbzOXtysYVW1vZsU7z0P7iO//Ycvr+pXUJ7mf37fjxT+zy9pp96ZXP22vXnrfV8qrSDoJtpEETGZQekzTQUeOYbnifYEDSh8gin01M47ae39a4+a41Wme+Z0+vP7C4yo1WGUcVThde0BUTWgBUAu0waDgF0hSfNgX48LLrWeSY4smkC3kTTVjzGfaIY3IHAEQagIixba5etrXamr1769vKvUC0xio03bvb123v4L51Ri13Kd8bC7wIaA8nQ+v0Ty2jtsO4wl5DXbUFHOpMZwkHf0M8xwHclTe0nlwz9hOXpqE7+rZAZLxs6WRFJQvlYxwcqg33ex0RaiYA0Q2AUO8w3nqgjaq4tFkmjBh7GDdxQY4nPdcmQRO9ByhLxwtqr1mBP7UvfRmPmmInypvaTWLi4yhaWOg1ZBNg1RltazTVt9Wv2JbBXW97BSY0Hn7V1jZ/W31xQ2XQGDFp6JtHXi9svbCxW3Mvov3RofIxtA9vv6lva3yNa2zNqM6SAnqJnD0+aKtvdsXXZlYoMYkSt4cHx3bauG9rxXUrFza9/vYPmlaoLsq+DMuwDMuwDB8JcMqfOwzEJAfTvoObwWwo5tOzoQZwTBrGIwTRkuWzm3Z18wX76iu/a7/x6t+x5zZfs1K2IuYOQ4X5DO2ofcs+ePxNHd+2w7NHYrZiRgtmjsDCXhLtzp4YmEATQICZdhi7oimyGI1DCZUKQQomJUAmIYyF2RTVzZAk2CDco/UB9CQSmNQE8zgOw8xtKiYqgQKX2WJpehcpBOCE0IaIQY7Cn68l0ne56zPZOhBeieGvERkhY3FCwGEWFUHEBWiVkcXmLJxNxNhjJKtIpMnsI2VabM74RDAJabmZj/IUFo/j5a8lGnYQ/VyIwfzFBSzFR5hC4EGrQHF8bYvegykjCPBcD515TwSeENYRrF1Q4ztKwzUSvC+BgbwhOIY1JQEYOmhTfMx/3JSEa4GidKbi7ngLxW0rV69affUFW199zXY2vmBba69KgLohkHTJVgWSAEr18q5VixtWyErASbHu669vohFNng4RvS4e0f1w5r8L8fzvnM7/JkcALjr4e1JH4Z4/Ux1ShgCCwn0HGpgcSTCE5kG4DwI+gfcQ3ogXAQLODhj8CKAoHAHcRM+8LVI3oeWF32rFaF2YCGCBeT5f8j1zypWSZQoCuhKu8HCo1zwAJDjwQocTh9GYvhZm0gcDAXEJimyiShkwSUuqjV67+orduXdHZZFI6mnhAIIF9ZSVsgV6EWhv9M2Q34WmRNml/RSUN0zdEKTJO4Ki95XFu7wTzexz6KfOga5oHpy2ErYpPdpLwJvXg27ERAM0GfRBzzfAQRnuDhoSwocu2KKNQwPE2MPIhWZUX1K84Fbbc7GgcQg8Delzn7eivNK/0JDcee/b1jk7Nsv3bF0A7pdef17YomW3P3jP9h7fte/98E/s+Oi+FQXWrm5espeuvWibtUs+aQIdvDCip/dt/ry8GvIWIAGwQKSR6iczLXrck/GBtdgQN8MmzjXPO+Atqfp3YusfYINxBPBA/U5YN9PvO5j0MQHzLy+dMIHKgZlbBOzDOqRAxzEAZwJY5iwAo7EFGgOavvLG37Ifv/svXFNDO5yIJ9TUx+OJoR2cPPTxBnAEwOmPJNjrnBdASilfOeWZfd98U1YBpFg8q29iFi2gpe+yYSreBfsCA61u0+tQI5JyG8bNVKyotllQGVljlbKeAFJM/Gky7Fjj9MCKpYJoIFBMfVJexlPlkjFxPmdyTWNvTO/Os6INa6QAXxMbqQ/ERId8vCL+1rZ0dmq9LgBceUwqDeqHfp+gLUILtSllPB4DxJEGpqvB6oKGA/AdTu7b3vG/tLPmnl3b+bt2ffvfFwhbcYuLiYA7QDBfzNvWzrqx8TemfI3mkb39wfdV3TOrVdnrbsO6bfY/S9mpwPFcQGw2xqxyzUHm3v0HyntDfX9Hn03arZs9K5Wh1zIswzIswzI8HSIu/3MFhHQEDxg0DMH3MpJghCA1GPXEZ2N2dftF+/wLf9tevPxrVs2viWlJ4BJzGyhOc7hn7wsU/eT2H9udg7et3ZdQA/MQo3NOLraFx7ZB/0SMZyBGA1PRgZSgf0oe3ibmpwu4uZgTNunpVEHArG45CekubAvgSEbSt5k1w6a9I0G/r2PsjDPG2h0xcnZWn89Z/I2GCq0L4AhhjvzAfAFGXAZhxdeNCHToBWeMZAsBKhBXtECIWdx3hqiT80b99nsKDlrEOKFbPMb+IBXRrczX/HmYp0aQJF2EYmjgj5z+Y+WZNRVuxsJ8rfIV1hYpnoMjtDtstAhzxaUv2oeMC4UBZElwUB5UK/6dyGEDlOTLAEEEc4Qc3yhSfx6PWVA0Xzx3LZSAkejOkUhgKle3SvGybVSfs+3ayzq/aOvVZ22t/oyt1q7aSmXHaqUNAaMtWxHjXq3i1WvbqqU1CYysZwMk/bdn4k+E1EWIBOqLh/4Lh8qBaBQJ2kEAPY8X6i8c/tzPizQ+8i73zq/13+KAfqLj4l0HDQvhEmHPhUm1j+gbQcgPs/C8E4UAkgClAGrqL4CMoFFaAA61e+qIxkH88B5tN6z5yUkIz+PavViwaq2mOqiL1mX1ESYOcPEczCwHQwmhyoebBEkAJ38s8OaemwgqXyO1VwTXZ68/b3fuvm/d/lHIk9oB5Wd9BYWPNGNPQtQBPKiFKRqCekLtKC9g7OucWETPH7RcxCRtBOyI9q5BUaCcYX1ORmMEpnXKr+7T53HAwLcpO3RmUT4aB+rAvYup/eOdrjPW2KJvqVZspnGMd9zkVKANGgRQJ6FZgXzwPul4/ejACx75ZBKFr5Nr3umqjn/41vftn/43/5X9i2/+11acYsLYsePeod07fGynZx17sHfL3rnztv3gnTftnQ/estGwZ89cuWrPXH7WMsoj5aMfA1IAFP1R3+lPXSBoY/YIkAXoTHpmhfmqzTNNy5eztrFd97rOZgt6ZyqAhJkXY4beVznRcNCXAe+CXAIdor3S82EH+uq7YQ0ZYHUBjBgnlJbXDW1ZecKs10GSwEwAT5hpjm134zlLJwt2f/9nAhBolBOWTRdsa2Xb7t+/pbYxUT3hbnvuWp3hWBBF0j81kRNQKrmzloRrFTGp84mkuEDgPCmaow0EzMJrhmp/YZ0Z5XBX8XP6ChvIoo3Oia4xw4nMWUuAGBM35SVmbNgaAB1l5P2oH/F+XGMmG5rTFlVIjZoCmmMAM84/isrDmeIzCYKWaC6wFAAa7QqPn2inlE3RlzFb39P4zx5//YF4Tlrgj3aj9gXB4Uut7lv24/d/3xqNpr3+7H9qm/XfUlo4qMADI3vZZQXs2EdMeRX9G62fWbZ4aEPlbTTatXzyRdvQeNtpaSRXfvIlQH7RTWv3h227uf8jyyXRdmVEL5xERP1wGZZhGZZhGS6GIH3/nGE8OfMDE5XgLACBaOzmM7vrV+0Lz/2qvbz1edsor2hwRuDGNMPsrHdg7z34lv3g/T+wd+5+347bLQn2CANBMApCTELxJYBgfz7pi2fD1IKgAvN2VqZ7DPjpdNEXnjPzmNXBWp+0GBzXabyhiXGaL4DtKn28FuFhCVDErDKz1mz8hwYJsIOQhHkEtt0wsEiQ02c5kB1gmsob5mgwZfLrggeCihgWT/nPhV+ERHDZXC9zKHga8CfKKno5UJEQAJeez9LKf03lzSpOUmkijCCMKUFoBNByMys0OAhRGAyFmV4XnhBcdJAYgMhNOWD2AkpZgZdcumwZ1l0B/Cgbb0eCJzTWwV1KoU+RSd1DQBcI0rOQSZVL33DBYvEsqTTTiYLyLpCkI5utSiBft0pp11Zq1wR+LgkwbehYtXKxqmNlcb0iYWjFyoWaHyy0L+SURwlTaBYQWv66EAnOQeDght8Mh//+6HUUz+lKOXWO3o/ACsdFc7rw+/w74YiS5fqjz0WgcI/HTjL9VhoOPnRmRj7SiBAioMTkAq6o8TwWPXMwBDiSsI/Af25iBwCCPtSD/qc++Bh3/Ld/WvUBiEDAKlixUrKVlTVb39y0SrVm2YLqLKd2ov42xCyIlyUY0574vpsj6c/zovIADnB5/OxzL9n7t963RvNQfSyvI5hnkS++OkZAVFmj40k5oaUOgmtDOXTNujbi9QesSwE0AbjCOaJ9aGu0W94I7Q6tMN7g0D4RDxM4hORoPR7rsCZD0VnlCVoQtMPKhwTyVDxveyd31NYBAAj4QyeY9yl9L8z+qz8svu1jkq5dS+v0CWXxfqLjSRkBXxKOcSf9sPW2tVtHrqXZWluz65cuuWv9XEJtXEJ8fzyx4+6pvfvoXfvWm39md++/bRv1mj137QXRNON1yPd8IkpjFNo86gCAzXqjbrfjG8L6lgVNAEbcchtmw0TP2MsMJxSUF62wWmCYUFKGZ/ouGkjGn1I1a/EUTltEo4HGRcYc0dLnhSiPyoj5WTC1C+UmLejLwv/RtG1HjXvKA+aYwZsmw+MbL/2m/fTmn6JQs6zAEpry3Z3X7J3b37G2xvXeQCBFtO/reqKxuDNu+BpUzO3GkxPRW7wkpWeTYxsMxGfUX6YzNOuAFTQ7aLySi7VmYYJnqLSGY/a6AgxQdoHhORtgl32PoAx7fSUqPiZPpqfiXaqbaU99hHVFONIp6jovMJPTWKZzTKBMtAhWBzMb0keTAkYpvpdQv4JAqiPVubKivPJd2g9gMWw4TDy0XrS90XBuuXxFfbmuMtLn9ZiJBSWSjPfs6Oxf2Pfe+S+Ul+v2ldf+MyvojMdV2hZ1zD5zqysJq5aH6rctu3/3vh0ddEWnNSuVL9vmRt26vZnG3pznK5llnBA47KiOTn7m/HB1S8BvhhniMizDMizDMjwd/nqp898gzCf7YtSPxeAObDxtiIkMbbWyYa89+8v2uWd+xVZrW5bPSLBmjwkN1r1x1+6dvGdv3vuu3Xz8vu2dHtlQjAUnCThiCGxXEoEGdJg0LlCnk57PjYtDSIgLaxjSYlz5tATw7IqONQGkFX+GYQjrB2BKrCfCy5vkSQkCiFRM5zFrKmEJJw6uIRKz57cAytzE6GdtN70YTwdiqhNKqDQRbBXHNSwSEJgWdIEKDQDvKp8Ch7heRXtDSiqSl1kild6NYAgHM+xIUyL/nGsEriDu+QJk7iu+z3QrTTfRUt55BcqwdiMlBp4SyImLgTNLyv4X2NyzPmiKJk3fZMabNRjJWE5pI1wLNIrGyVTZctm6v4ezhXQqJ3oBfODSyHiSZCQculYILYBoCGhFO8SsOqyeGW1iuicvZYy6UTYlbPJN1pqxt1JRQKxi+ZzqKF/3/U0KeV3nSpbLAZ70XGecMmSz7H3Enkx5P9ifKSNhHlMvwEAAAXzzk0MklH406B7/eKR8+jVnQAuHHiAMQlOuzw+Ev4tHdD/Qh+soXIzvQnKUliQeBHX+IjBEDfMs/EZQYjKBmV9m3gHpIV3KiQtiwHrYuwcNyUJTpz5BvWLGqBveR4KGSKk/TR7VGQIXB5oNHJlkMmwGXJQQJSBaq1qtXrfVTQHYWsWyLBhXfwPkYEIJ0J5IIFa2vb+5lod2qGwirL/0/Kv2wQdv2cnpQwl7BX1DefKF6ewzFAR3zoNhKAcgi2fQwIGF8hUmF/Qa4En3AHGuaVBbiqtV0XsicMx7ASRS1nA/HGjP8H7HxIfSU8dj8ftg0PFqd+Du2iJcL6u/ajzBDT/aVszTKoVVCY6P1WeZ2KAPA6pYc6iyLPJF/yFtlZ6cQBI//D8IomeeL/6gl/rK1a0XrZit2FmvaY3ZoU3bczvSNV7uvvLqG/ZLr70iGj6ryGnD0U2fQyDv8fGhffvH37RbH/7Q1solu7x5VUOURq6BwJGAy6Dft26rZYPu2HqtvnUaPWs3utY7U9l6yuswYflh1YZ2ZuN51+Jj5X2okU7PpqwNxVRM9TqTwE3bw+Mdpm3toYBClvVf+j1isihopwAklBMZH/M71g0B9Jx+/KlO0WCzzum4d9fag1OVQ99W2sNxzzbXrqoddO3k7L6AR97HxKu7z9jdB3fstHPsQKo3CiZyeASdCmB1uvetpbR6g31RG8cNaGTUdmY9pXWs/Gr8jRXEN+Kim+oD4KdrwC91RJpn/SMBkbZXERu2oonB7FKtzTqdpurlju5fVp/Kqt47So9+Am/JaHys6psCSho7s3ONTa2CxkHMyPeVGKBH7UffoF/Ry+gfxYL6o7qLupmPBT6+ptDGttSe2E6C9jYRkBWAHKuNpgTsBZDjsZLyrbbtY3BoUr7hunjph/f+j/bOzX9un3vuP7SdtS/bqN8RfRKiY9Y2t8pWrk9Eo7E9uHtgb7/1XXv06LHa4YrV61WBtuD4hG5ZyKq/V1dFO7PDxqGdNB/Y8zd2FGdVX1uGZViGZViGp0Nid3f3f7m4/lj4h//wHy6uPj1884f/O8v4YJ+2soThq1sv27Wt122lsmkZBBgxRIQLmODjxvv2zsMf2YcPb9tZS8w7KeE+VRTzY92CxOw4YGMkARxmCENBcBz5LGAuBrSUPwAA//RJREFUU3WNBGdmqxn83VGAGBrmc/E4Qg2MKSZBnXUXOAoo6VnGhRgHGc7Qw4wnbl6nACP9RuhhFhMTPvLqmx6Sdz3BfTH3WZfkGqdZH/ih+2hSJMJhiuF5x74fbQ6bcDL7DqNGcOYcZrNNAA1hOjhEUFyBJQ6AkkQDPdc1LmrnSguBRHmBYzJrTXnSGYGbdM2yohmet9xsw3PJQT6CEA3oyopG+WRRtAI0AazYDFYASeAFJxYJ3TfllXpDcwD4C6aCMOgAkM5n/SNBFajoLNy/g9CuiC5MU0dJCRvkIZUuWVaAKJdZcWCUZy1StuAaAjzcsTbCF+nj3EHfvnjwnegcHQEA8F0+F86fFjzPZNvzHkIoRzj7NQBC+X76PgIfL0e/Lx5RvIvnKFyMFxwz0I5oO7S5AJJ4BrgIgCgI5IBgwAPCWZQmM/DMFFN26MT6IbQywVNgOAOUgiYpopHqBxStEEh0nucocJ94eEpDWFMEtQfqWcJ2lz1YzgEcGhnik4LTXPRCm5PJJu31z79hjw5uSwDuWK2yqlYhoU3tKaM2J7lbyQAYQu9xTa4AC2A3aB9J8QKtnN50NyYKeDJWO0q5BlG58WfEOa/3AEKiM8KpAxuApsrBt+nr/UHY4wVNDWAHYR+aUj42tQ77yPTVZeN20PzQKqVtY/PV0aSvd0oOEDA5gzZ8g/fQUFFPXCtTnr73ZyggId3rWQDjy2/8Tbt++XV77+Z37Gy0Z+NUx+ItNhgVmJGQW6+WbWN1RcCsZZ1ex2LK11wghY2fY/ruoN22xtFjS+hev9m2O+9/aI/v3LezgxMbNgWOBJD6jbaeCQT2Nbb0BGTaKu9o4nkpSziflDTeTPs2PxItmg1rNY+tLUAy6DXscF9pNY+sjZe7xpnnvd0XaLATmw0lvI/CflGxJG127O2FdgYtaL9K2N2l0yaYiJr4xFJP556AacOK4gOsDcKrHAB1MG7bvcdv2avP/o5GOLy8Ze1ffef/KxrsSHjXmKQ6OBWAev+DH9oXXv9l7x9TX1OJNopxk0AbZwQHnGHWzHgOcGdChsk003f6GmMEZlQHvfGZ8heASkZ84KzRUn+ZWW2lYq32meVyou3wWPW4Iz6RddqnkiWLi5ehZaelAnjy6p8lfekwdii+ovIwXsbrnqNUeuZAPONja05ZFAAazHwiqFpesYTG+G63LQA0toSew+daZ6LrJG2rqwInyid8a8a2FBqLfUyaxX1iCbNnRuXh8JE9PLhp1cLz9tKN37V79z5QH+zZymrK6XByPLeC6NlpHNjR0Z7qvygwVLQHD+6JrmnVA5YXJQdww0FSTWRqx8dD273EhNWKff3z/8DL8mnh93//9xdXy7AMy7AMvxjhMwFI3/3p/9VqpS27uvm6Xdl6w+rFdcuIYQEv0Mr0Ji07bN2xDx7/0D58/J7tnx6LYSAMY9IjgCBgkZHwHEwMABCsP4AJw+ynErpyYqLsBs6alDArxyxdWsI17rJdmAZQxQbOKNnQNZOqKG3WwWD3jicjGLlOzMyRaUCYAIvbses8m/fEeFlULuYlQQDQwuwzAqgiuuDjQqjylEQTI4Yj9igGKMF1YQbnNiQJHC1klBaasNkCIE3FzPkOAE7RiKs0AhBibQQ27OxWrxJPJUSaGK0EXf7YM0Y808uIu+2sGGc2WxcN8kqH7yF0BicJiA6AJApKepi6wegdQCluKonZW160KTrASiqf2NEz2837ADT3tuYaKALrDqgHkgzCLgKsKszfwVSQn9Qh70GXjAQMzFLSadx1CyDpXBA4yqYDUHOPga4Vot4Qbs7BD9cXj+j+08dfFZ4GA7qzOJ8/i4Ry/phJfvL7I8dfdT8cUfjY/cXZwZEqM9CStCKAxAF6AABhqsT6Az17ck0bpc+EmWxAEwHwikYtAkjhfA6SHCTTsKjnRQht4TyvUYB+DuZpFaExOoiLtFm+8F/XCKhuXuX1HsqqV0jBvvjlN6zRP1RPEJDIl3RHbUH1hcA6ZG2F8puTwOb7aGHeKiHN61ppRcDXU9K3VVRPl/sAfgDYSXPf84IJJtUdnBCE+BcPXhSF/T0cQkTri3DA0tdvd3CgbKOJxFyRMvEWAAbtJZotgGgmV7CDxi0BshWLj0UPZQpNB/Uy1nuMReTfnUcoff+2aMZ3iBPMTJV/1cdE39zafNZ+/av/gT18+DN76/0/tdSqhP2+6nUQPLGdSWA+aTXt6PDYDvaPLTmdW1EkSQlkTAYtAY9j9ZGufnfsZP89O370vjWP7lr37MD6AjjjXtPG/YZNR00VpqWsNAT8GiqfjnFDdOioPrqWzI2tn2pbrA9oeWzd/iPrCaxNBWIO9t8WSLhtjcZdOzn8QLTq26kAmdXGAkqndnznnrVaB6LW2LoCE7jiZm3WRAAMM2DGsuDinYkRjXWiKQCJoe20ddsKBQAS2g409qa6rNn33/pje/76FzT2CISozt659eeqp65d2X5OwCFpjdZDu3Xvx3b92jOuWR4Mz5Qv6m3gbZY2weQZJqbBQUhbrZwaxVsqa43iom1HY434iuoILRJaLcZEzOQ6rTPfCqFeW1E51KbiaitJ1j21bDLccO1qIoFmR2Om8kwatL3E7Mi6cdyODzSGwWdwCLKttt6xdFbgXG3EvXaKTwnO2KDP+quMVSorqgv2Q2rr3lgARe1L4+bpcdueufQlDd1wCCbq1C7jTKDhMCjtfW2lekP1JeAMF50x4da148bP9M2EQM26e5+Lp0Y27Jftwb2mrW8kLSca9ntte3zw2HJFxqGuQF/adnaeVV0qj+qnuBpvtPvWPBmJDnMrl6r2q6//D0WjTw9LgLQMy7AMv2jhMwFIHz76ll3e+pytVq9aHpU+ZmO6P5x2rNF7bHcOfmgfPPy+PTw5sDMEqHhRjAIbcoAD2hQEYgQkAZ+UhCgJbgAe5KhEbCKBPqYDrUPc9FjMDoaY1Vn3xJjcJbQY7lTAyt1Pp8oSWNCOZMVMBTYAag64EFgXQimgCNM4vwtA6gQtjxgiMiw7ocOc3RtSUmVyIAQww7OShNUYAIW3yStMmksJnqzzURwA0kSPXeDlT+XA29zMF9tKEAZIkZYAHLOgfBNPSzbTtbLqQiRM2ukC404I8LC2CtO6ksqgdImjA01O0F4h+HopSUz5TFtadCZtzDdg/JgaZUUTgKZe8utcKq+3lF/9BeFVgp9LrggkgW7KtNJAeJdQqu+EHevT+mQQjqEN5cHkESDmGiS0RgAj1VE4qBu0RsxGK69KMzqeBkWEi8+je1GA8v5/uPhYcBooOD0Q7p+cw0EbCOeLxzkwAty45zkd+u/JwduEKN6C4OEgPRfiiMtZhwRpgBEmfWF9XvguAWHegYloTFzWT9BevM7VxrmvFELdCXBAPwDRE3CkA0HT6wwaeWZIffFt/xHyGWhI2oGWbrYJTRUJEOxgaPHHTe8veu4z9e4YQfGU5muvv27DSddG87bypDyoHQASWLfT7fQEhtnLqiywgeY2qXbA+regGXIQpAOtYVSn3Cf/UZug3XW6pzYaIsCtL0gV8k+IzoH+aAcSPjuP5hPwgoYIU8KehEueI2AyvvQlzPIxp6vqIqv89XQP0MSYcXx21+aJmGXVzzEfpb0Sn82oCeQPwBpMKTVmiV7eH9BG67vQij4BUP2tb/x9K+VW7Y//7L+23vTYehKuY13yMLYB7p71Xq87tPZp1wr6TimbtU5bIGfQ1dg5Vr5ObRIXsEl3BI4BGS2NpW0bC8SM533Rv2Nd5X2g8zjWBcKo53ZFyJ7GhIHKIaE/JuE63bNxCccWfRv1TvVe203fcG1+dHxfwODEeuNT6w2PrdVtqIyqdYGqZDlh+3feFIh6S4Djlqg/tHv3v2enpx/a8Qmg6pE1T/et0TywdudIY2VPY2dfJFA70jjXGT1WXtFEq/IEmqEXEzWHjQcqf8N21l9RW5rY/tFte3R0x569/pq3upPWHQn3N+3KFYGDwYnlc3VvDzh/oH5pleOJaOlrQtEczgWi2KSVyThMyfIOjBm3cL+tBw6SGJvoqIDkZDomUFD3e73eSO1AoHbaU92cWXx+VeCDvaFCf+V92ll8JGA5zwgg9SxfYKKMFrlmY4HGVFptW3Hpn7QtJvgGg6GAytj7x2yKiZ3or7ilfFX5zNjx0YltrD+vejtTWxzpM/rWYs0rQBNz5k6nbaVCXemcqZwp50czAbr+8K7g7W3b3X7dKoUv2d7ekbUFiqbiLfU6wBM+I+A0PRWYS9vJ8dguX3pZpU/qes/7XvNM4HKg/lWpWDzZs9/80v/E6flpYQmQlmEZluEXLXwmAOm48aFvEok5AcL9ZD60Vu/A7h++bbcf/9AeHd6ydretgR9BHmCB9iQIYnha000XRmF4aIDcbEtMKuFuUSWIJeIBHEiYgLGx9ghTHmbtXBsiYTwlBpwCSEhgRCuDwBKTwI7ntiAsLjRHaJrEhKYCb+NRF5YrIVAMmI0jhWiwGoGpk4abPJgEeoEAmBQ6lmAnDkNDwERA4h2Ym4S4OKAhmK3BX/mqTh6fmc+wxkc50fdY1wCwSgjAuAZKeYV54hWMtzDRw4xFRbdEKmP1wq5tFK4qMYRItETEEiPXH/wfsMI134PJ8m2JnQJJYeNMzmnRikXa0JEyIThmRFdAX1pAid+YDSJ0IyhTJgQTB3R8hGKLNuEaUAToEe2TRaWj+tc5l10RkC1LcCiobnAEEcwgU0ofr2JojxDyEYYDGIM+QViOhN+/Klx87lcUViG668DkYyHcC8+csv6/X+seR5iZ5npRPzo7QNJP4vq7/jzUKSGkp7NoFD3XS7wdrnW4eR1tj2vSBCjpOsQJv11bo/bjpnYI38oLwrh7B5TwjwAfAERK7VxCINq3xYFAhvMA1/IsiOCfJpd8hx9PAjW6AEX8Q/jza8XTNykv4MnrZPEazhqGTBSwCF5/L7zysrU6LQltJ5bISgBOYCI4dDDCeiP6ZSVXc20w/cU3b1ZwTZi+FeX3IkAmMxEgJA5tsNdv+4L71dqG4ocJhihEbSAqG2cHeGrzoR+GOmSvJugJgOL7o7EAg64x/8SNM5tB93pNPZsoP5iXHVt7dGqF5Gpom+rDaPH6vqeS8qh7pONaQNWdb/aJS+tYyz1uJtxxzMxWVrbttZe/bnfv/MB+/JM/sFhpJhAiofkMUCThd5qyYT9m/e5MQGNkHQnSjw4P7cHenjW7HTcL7AkcDlSO/kjQZDy3rsYliduWK6zaVP3JMkVLFPKWZKPfnPptOmdTlWuqPp0tVqwguhXr6xYv5y2XWrdRfObu8/P5DfXBupWr2ypzUYdAoMAh43KvP3J34D2BqMKG6K5+f7j/vnWHRxKiBVoHRxrnb9pZ665A0gd2dPiOHR7/zE4aP7G9wzd1fkeg5qHGi6aAm4BT75633cGQyadgnogW6afv/Yldv/qG6BATzfft1r237Lln3xAf6AowvWfHrfu2vb2tuhQthidhfFebwjkDHRIHFazncaczSWomAvaYWQowoRlS3WWy7M9GHaofM96jTdLYRXsoikZo8VvttscDUMTjqotuy7LxGxq/WP8p3qOk4Eml+WPba6uvxnpWLOhmIidwxLqlnqUziz6t8ZpxE2PDfn+ofGcF3Bkj43Z2dqy+oHhquky4jQSYSpVdtZu2xgg0XGgg6fsD5Z001OYFNJWilxMTwzHtVMBQVW75qmh3cmal5Etqx5fEW4+sK0BVKGYFwuoCZjFLFfrWOBKd1Negye7WC77pbk/H3qO+ZTMpxYc/TuxvfO0/pyt9algCpGVYhmX4RQufCUC69/gHGujjPnvbHR7bYzHQx4diomd37UyDt4ssYiIwHYQThKG0mDqCkf558NleMSO0OJhypCR0wLRww4qnJ2aq0YiwXiYloR7nAsz8ItinJYxns3g8KyklHEHA8CSE6Tnmbnw7gBS+g9kN5hldCTns68G6BRgos/t65AIvgiQz3wJzEnwAMmkJfAhnLp6pDH6eiZn5jHIw5XHbdACZmDVCnQMVpYswyqwkAQCH5srf13eciSOMAbwkSLAuKa7y4Jb7cu2G3ai9aFvFa/Z8/XVbS1+2pOjWw9uTmOlUYhOMFM6L4BmEcQmKOiuT+sN9bhCWE0o/LcaeEuNG4+agT/R04KfyeBqUVflBeODAJM4BJ6VBuNA77lxCh2uMVA+YMmbTdZ2rEh62LJdbdacZWdaLJUtuHhm0etSVwJibhQVw5PTUQYjOhIvXhKd/fySI7v6Uyn0SqOhw8l96xuHXF8DDJx0AFz97GtzjKnoWUrgYP+SM6yjdC+kjTIv+LlDrt5sleZvQb+4vABJnF+6VDkUlTdovtJoIsfMeaxfYvwgvdGiOeObaI9qiv7T4Jt/R985Bn2dacUMbIXVACG2YEJ4HgMSHAxiWgDhhUTkOFgaIaXb52lXb39+309NDCeRDi2eHAggtPW+5+RVrOFK4dVefSWfV71QWn8lmHYuDLvIUHIxgcucgUJ0/aLXOD76Ntod+VSzgdATgQb789KQ8BOIieKOFDmaBYc0Wa5F8XyPdZxH9cNDT5+mHUdsTSNMZ8MN7AH40Eyedh1bN76ocmM7N1Y4L1m41Ft9mMoSJFfobdanyqFijWMPmya5QoMCGvl2vXlLMjH3vh/9E/fREt8cmmd76rYx1e0MrZIt21hgLnLFcaGy5YtomcQFICeXznGimMTBTVJ8pCfQoj6NZWr08Y7s71+yVF78igFSxifpVLF3Rd0saAwoqq8aEscqg62x23crlTautX7VObGQ7K6/YcK7xJpexrfrnbWX1ipUrl2x99YZVqpdtbfVZW6lfta2tZ6xWvWJ59dt4KWbF6qqNOziiYX+loe+d0zg7FFBhu4WRANXARnONQQINQ7WD3uBYY/99G4xvCSA9VNmP9N6pnbZZa3oo4fxQdBvZ0cltjU8I6OvKd8vefv9HduPGa2qbUzvQs9ZgXyCzrDpt69sD13rR/kuFnaCJmQSzO8ZHxhXqzj3z+ZjN2DrxsSafr/p4xW+L9QWG9i0+Z6xLWKFQU3tXOxnSJsK6MUwpU8mJNU+PLZ+7bpbqizf0LSkaFqaHdqc5EG1naue0u5zyMnHexXpUJerpYDJOe3ZnIWocGxtX7GD/sXe1WIKxGrf+AskmAKV6mkzPNL4K4AsAB2cP4ltWFYjdUFzWR3V8LG13WgKUJpqpmZTjpp+WnhX0jWO7+/hgMS5jidFXGfLeNju9ibXOcOqh+2qfxeJ1m43VkBXn7nundulqTW1efSy3Yr/7y/9jGvinhiVAWoZlWIZftPCZAKT373/LzT2OGrft/v5P7bjxWAM+QhDcRIN/GqE7CD+YcTBZnErj1IGZY+QKCR8ADQEHNhtk5hHbd4vjUUsASAwQgIRw4+t/EgUxEdYXAZZY6yCwpKOc3dLvnJtVuBmMz+oGoRChxgVGfQMNDsKJpAzdZz+NsFge4Vk3PK9zByswYGYBlY9I66HMJ+IFpZyz1crLykfFQVaYyVT6ypMxm4tQLKBGeiEw0425h3LkYCsIhz7TrsNNK3AMofSTytfnLv2yffnS37C6BImCypaUAJTSO/1p37p4cpqx3wtaHr2nb5EWAinCMRxZsiil9jIjODqgkQCBcJ1JKT39sU5JtUKuPR5phXoKwje0RQjBCQbAEQGE2XbXIKnO8L6VSrLWaFWC35qEmG2rCCThlAGwyn4nrj1yzRH1hhBxDpAItAmOp8Mn3bsoHDtZ+b0op4cLzz8SdxEop/+vZxcPf3bx9+Ksphvu8d7it9NXv/kmv6O4AAye+fsKDoIceARggJaGfaZcsHZhnnrjHdp90DQh6M8RtvQ+dGIdDMIf7yQEKvL5isCH6u4CuODwHPId0iN9Ty/kixBoLACiQxdk3w83B9Qf2tsoDr+pGfIdOSRYWVmxew8fWLPZVIlG6jJq78m+sSA/eIlUm5+pbSTy7rUN5wd4RqM8aFdcg6Rv+Ua1fjCpwfhwDpQ5hzYBTSZ20jj2NUh463KN7YVw3jaC9iiApABe0BD0+x19TgIpnUACKJ70aOUBIE69Dc9E/0EfYTvQADB71L2vb65Zes5eQVN3KtLHcYXegZReR/qGaxeVJ7RGOHkYJw6Vdl50TKsfrFun27Db978naVaC6hzzOvUj9enJeG45jXt5SbrZfMoqtazlCjGdcwJKWSuWi1aqFCwj4T6WLNtghCe+gvWGSdvZWrMbV5/X9cxOWi21pbAvFR7pAihnDEhI8Fbaxbx7KjwWYFnJbVtWY+KDxge2UmCdTU1tK6u+WlOBVGeiL9r3dEb9NVuyanXd5qmhzdMJq+c3rZBYt1J+xR2uVCobGpvwllmzlIBUKqdxLKV2k4xrvIvZYKo84HCANq3xezpviq49AYZTG886AoYfqI1M7M7+z5T3PRv29+z+w1tWrdQtqzZ9fHrXrQ+2Ni7pvTBpRZsYjdtqQwJVoi2odDRq6T5tJuPjbNC4Yu4b2tV4zCbGMQe4SQ24aHqODh97mpip5lQeb0GqU9zo0y4AS9RrItmzx/uHVildFwA8scKsKfDbsYedqQCKnqfVXpUnNo2NzZl8Y/2Q6OBAi1Y2cy91s3Hc18wmrWujvvKYy9OABLgpi/qQMsCkGXsf0f58skz8JpFYce3mcKg2pb7mbXsCPxqbqkd1HLfjx3PRP6a6zNvhCWuX4srvpgD4odqFaK3yMjFRLIk+I+VR/I5QyG6rTQ2slBjYzqUttaM9p+G/+/Wlid0yLMMyLMPT4TMBSH/+4/+zPT58305OH/m+Ggg12E8jDDFrlsCpgoTinIS7tASEZFyCl/XF1AApEjgXghGCCAuAARwzvcc6pBSASAwQbz/uMlvCO17smK1mnx3W8OQzRbu+8bqt5nfEBDFp6Vp7iH03jAeQBIOBDSEMoclBKMUZBIIgHtj0W4xuqsNN8GB0eohGBRCGmRsgDUaK5iUtRpaOl2197fM+EzgasK5I7zGlKEGI9UeI0A7SXPAkPUCYhCU9RSPlpoQu6KGNYdExs5lJy6k8X77xDfvCpa9LUEvZSILeXvuWHbTuWHOwZ43RqfUQtMm80kJKZ9GwayQQ4Cih0ooEZpxEhP1gmPEMzhVYtxXs9lUwT0dpKD5xKSNaI4yG0PQhTAFG3dRJn0vrfTRejuX0LJteddOdUh5Bal1CSU1H2UGYrztCeySQxD40CKZBuA/CMEck7J4LvZ8cLj53wZ+fYJVFcCFjES6CgyhQ95Q1ihfFCUcQMMMR7uk/XgrvUPAoOe6TyuL+R97xx1FEMMGiTkRXNESsR3IBe6L7nBHOARGqGwdHvEqVqmxgGSYHcM7As0QqKQGt4H0o0C3QTl/WX8gDwIg258CHPItITjcdDo7oZ9CN/HocPhc+iP7QNZ3E9yis78HszezkBKcqCGsTG7sTE/Xf5FBCNZ+gHln/Rl/J+r40CZf+aPMSQHtdY08nwFBafSe4dAcwBxBO4JMB8HEdk9A6sIPDB1aT4JzLSSr0TAfSe9KL36wXnAjoBK3cAsSoPIOFeV3QGiuOxhOnB31U7wHQBoO2a76gG44a6AvN0YGPXdlYUX1B95i4UF2x0J/3Xfz1M2UmF+rNk6kNMY1Kty0+Les99dlBx06bD3w9T3coQCagQz/IZVRGAcoUCylF/1Ipa50+41BMwq0JWEkWH8Xt6Nj0/kjgLG2nZ2gOslavZ2xtpWKT4dwOTo8dhFInIzaIVdkJeCPM5DX2VisCNDFr9h9YKbmmISJhk9jAOpO2bVeuq1xJ1V3OnQxAN7Y5gDBo3dx7aFLwJjFSnjMWH6sdCFQwaVOp7gjgrdta7brtbr5g6+vXbHXtmm1uvGzrK88JlNWVNp7ashoLAQ60IbYiCCbVKbWBaaxrPdH+uHlbQOKRNRq4At+XIK/r1mONOkkHZulEVeMizhZwdiO6KG+d7omb8CY0rozYgFxjCTXKGdM0tjhI6tmg37Oz5oGABuNNzp1NsMYLBzzZ3KraX9X7FHTodft6d2E+SR/VCIrDhOODrtUxRZw8tFavZ60JgMQcmDDWA7BtyrjNiCtOkaCM9CsmB0RH8RD6blm0tLHyyXiv0rXaeG7VO4D5hPKQhFOQJma0qrd8xXr9feVFwIze6fH0Zmrq/U04ydQd8egh3lNRWxnZxvqmyqT22z20ak0AvdPydpbNF61cWvE2moi17exM3xMoHnXbtlO7Zs3JmXUHZ/Z3f+d/oQQ/PSwB0jIswzL8ooXPBCD90z/7XxlreLISigu5irvnxZMQew75hqw642whlRIw4EjAOAUUNIj74lsJKeFA+oEpSKARs0Lr4cIIM8gSeGDirL1wl9EZ9vHRN+Jz211/xdZLV8Q8JtYR8+2OutYd49oUEBJMzwITCoxIHENJhRl8niGgzjCVwGQNKUtxo+AaFAlyrKVBYEjhMtavy1apPCfmVfBFyr6fjgOkjMoE2+YbCLFkm2towZoqMXRmP/UAT3SsB4oByHSsFjftGy//HXtx7SuWYe5x0LAfP/6mvXf6ljVnTWtNO9ZZADnKIgoqXZUpARhT7n1mUl+aqiwqE4DSN6xVftBeYJrCWi4OBDTAHiFaR4OwDH3cWYaEQ2ZKMbnzdVLM0IqerM9igT+mkpjYFTNrqu8NK+bqVpTggRCP/X1YdxQOgBGaEM6R9ujTwNHTv6NAzSijfhHqKdRUuDq/p9Lof+oA0QoKRXdDOaN4UXDhWc/Ctc4OrMNvBGKuw7tKc/F+dABC/R2FcCZOOBywIEAJGLmnOAlVOBLgGsHHhSsdfNv3mlnkj+I77ZkMEKBwD3W6iRYO4R4aRoH4zDLzHQAM16E8oa17myciZxJe5DfkdXFQ5xLCvG9wfxFvQrpKK6Hf0BKQPVLfjAkcZYsaPFK0ZfVRBPCx8jGit1L3KQn6EvB7HQGmgfqsBEjVfSHPBpz0nQCUKQdloy34+iRdQ0/W92DOVcDZQwGHK5QggEHyi2cxwCVCrZedvudl5im07DsgJW3ojQMJr0c9gxqsXez1WronIVe/cfIA/QA6vXHT8skVvceGrEMrFbOeHt/k3WhdWZQnr0MBoPFcAAkzuUnB3Wh3R6c2k1DbO0gIjElYFcCFhqMJ65oEnDp6XWNgrxeTMA+ow4ubhOGYgIvuFYsF9SXMigUYBKRqlbTVK3hXS/g+SUFDB/gLdc64mc0K3OVzlqtkbDTvW1vCb0V9k3Eyl1+1h8fv2Pbac5ZUGmgoBwPWYC7aAG3CxynVt4TtcXyoOlJfFSCjSSDeT1VPuNBGW88kSL4osFGsC+ht20r1qgDFDauULymvzwuk7dhZv6nfz1mpcEnAZt3yuW3VCc50xtYSATj3+zheYFw8dAcL0/mZTQf7Am9NtSHVy0jAR2NqwnKqL7PBqKl2ktVYs673cAOOpQB9RWML7UrlYjKq2TxUu2OiZ+rAirEXerEfG2vkaGe81+9NvW0CtGlh1DvvT2Md67YLtlVK2INGS6BRwFbtWuxH456wEf1tgqYx9GPGOQA7gc181aC8/47EiwDbmH0nEkU7aWCOypjMOKhxfK7+oTEWj6aV2o7e7Vm7e1f3GQ+853qby+YYy0Oe2x3dT6itCPy1OykrFvICzg2BoaJ11K5rtar1Ox3vT1n2nSuWBLqaFlOSm6uX7EjgEbfyqbwA67xn//5vLQHSMizDMizD0+EzAUjfe+e/MfayYL8RNhVFYJ+KQU9jZ2JgkYejoMFACMuImTA7zroKZtzmaHMkfLGGCWbgwo3SRYvhM5zOBE2AAm2OjhhmXxIcLW3V8pZtrr3sQs7e6U3bP3tofWZ8xZyCtzncD4d9TPRxHQileJNjjQKCrIQCgSxmFwEQgAUYHfIUwAnzMoSBbKriACmTQADENXbeysVLFte90QCTF6UnAJFI5J1hjgVSfO0FOh3WCekc9rwIgmtSXNbt5iUoggu3ijv2G8/992wre00kHInxHdo7e39pNxvvC1qJwbrwYvofIXKxtog0vUywdmZZmb3siY5hw0ycZrD/kQvD+s3i4KkEVzdZFKPVA90OAjqp+Uy0koNmaPzC3SBUYr6DUOWaL8rlYDAlepQlAG0EzVEGAZg1RwCjAIqC1zoONEjh3U8CR9H5U0MUBeFmcR1OQYgLgYuQ74shAILzEIGEcCi+zqE9BFqdg8bz54QQJ/wOR/T74r1wnGuIgkAPwGB9XRDwdUbz4QI35ZGgLoBLH/G4Si8B7QRMmYnGfTQ09D6gOtAXPI8eFxAgcBR9h0B6HBGtOfQZvbXIq/74FX2bP8zR/B2A0iINQExG35wxSUFbluCWzChvOcV18zq1x4neVZsUIpDQaBJ6+zbAzEkSWUKCZTId1okgYAYqkp+4m0N5eRwsYdIa5VMCbutYtEhJwK77PQ8LmgZAKHBAmVUW6otxgrwinLJ2hN98gw1PoTtlpaOpFSs/KesPmEDhNmuUgqtlopz0H1oxXXfXzeNx2wqlpJvsTVkL5vUmGugvgFZMWfUd6lWgYxQ/Vtp5X/M0SfQ0YM1seFKyTj/Qs9Ec2enJSGCh5ACJ/p/KAnpnls5kBHbQbsWsWk1YoTK1fGFma6tZAQv1SdG6XNCF+u3+yYnaCuMkY1moSxxioJnLC9DNMhLaNWaw/009vyW6C1AIbE5ifTs6e2SrpUuqK/o/AFLjigNFgT7V1Ux1hufBMfvRCcAJEogWjINqA6IP7tExXcZcMpjXqb2o7sLEBxoy1XW66BrkruiQzWzaSum6hPddCfKXrVa+IQB1WePbsQ0l1JOP6WTm2hk2EfcJMo1Tw9GJ9br7AjePrdc+1tjVEUgTAIyXVWblQKCiXNhUGWhzrAOi/ukfeOSc692G8oqJ4qnnFTfwmLO5tznRim5CWxzj1GHBZxhPMfEGEDMJNBEAK1jX2qIPJuHwsEymIHrR9unbVb0rwCfQm9SYR3/0OqGpia5oVAsCZLOhnqvPHJ8KOLcDuMLTJxqhVCJMXCUSNdFqTW1lT2UXuFOfYMylr4b+Tltmcoq2q3IIxJpA43CER9KYFdQf2Uvp+OhA9Ta1Kztv2LCrtilezBpd2vO6gOrO6jO2L7p2B0eWLgKy0vbf/fr/VGl9elgCpGVYhmX4RQufCUD6wc3/mwZuhHRnOZIbxOSmEpB8d3IJb+7aGnki5QyUTV5ZrwBz8fsI/wAVCRpiPT4b6KYscBoxrbBZ7EzyG0w4r3gIJjMJGhW7cflrSitrj0/etnv7P7WxBDnBEKXC7CEapCBwuYiid9jvYzxq6sxMIenD1GBSA88nQkBYM6J86V2AXC5TEUMu+ExfWudssqZnzCbiMajo5jqjCS52EUYBJbimDTvSB1kTIYb9PNjXAr2P7sBEVba4LnYrV+xXbvw7VkqK4U7adnr8jr3z+Ft2u/XQoRFkRRDDzIR8iyJeJn6zjxM7uuMKdybhdTzGpAnTIb02T+t6LLqJyPrOVCASW/6J4qTi0EZ0FCNH+CaHHM68VUeY/SE64FzA09L7uPTOCHRSdsQJZmHjYtKlwroActXcBbmvWUo6g0egD2Z6gCsdEqACSA6CMH9eOBpBFGgP5Ff39eRJcMGZO0TX7/As/L4YiOPVynV0sQj8/qTD6+fiPU+De0hRlDM8pw1C9+iZC1WLd8KzcI6uz+MFoR5BHTDj16orF04XcT3nai8jCTJoc/BaRZ1DG0xMgxkoWtcAJnjG+7RdgAKmqa5JWATAQQSOIiqc55OaDfnmWaC+rqF9+KEAuBKYSKJNlICXAlqgMVKdS9hD+FcT0nNMSpmEUM8fSizvA1BUBo0BjAOsAclmA2hWik4DUUSCbMaKRQB1RmmHdWnhq8qAMoXbabQjteraog+HenCwo+dPaKw/7tOOKS/mdXxfjcif0y+oM96hbHEgkujHBAMTGJLHRXPWPeKMYm6ngz0X7me+mL5nKbyUKVKvT59S71Wd014AhuSWSRTojznuWKB3km7pcVJgqWt9gcTZWMJ5P2Ud0WY6pT/O3dQOYJhiHxzVeTIJKBmrrGkBwpTl8uprKUyTAXkCKirLcDSSsJ0SUJjZaYs+jtZLZXCq6euZlIBU3vIlfS8uAV9tZjxr20rhqgRv9j5DWF+1D/a+Z/XitqU1ZtJGKDfp0y/Z5JQJLsBeIpt0jVpOtJhKIEcwZx0oWum8wBbjPV4BRQj/VlztQiW0scozlaDe6u4JFGRtMOpZvXpZ5WU9ot6P5VyTRH4fHb5rK/VNa7X6tnNpVaAarRVUDWEq4E252R5hNGwKeB7qfKz00ehp/BOimgg0VEsqD2Ont3k0SCaan6lv4QyjKT5RFMg6U15HogM8BGBIy1e8IR5F8Z4avIBCV++3cRwBiZcJVKZy2cAPVNZsekXfb/MptYKKzqJ5ZssnzKCnayMBSeqXSY2HyWnG6uIfI/X3VkfAeYSDIrUBVLDxgWUwO0/UbX3lGdXFyFrtByo/dFB+mJRQHbNpeELpawD29odVgLql+gWmoDg9CQC61b6n+mHiYKg62rRfeu3vC5A/DPxXz09Pju3/z95/BcmWZWl62ArXOnRcfW/KyszSosW0Ro8AyRkMBCFpAAzkC2lGI834QuMjH/nAB/IRRiNA44ADkiAHg8HM2Ojpnp6uri7dWSorKzNv3rw6dHi4dg+P4Petc6Mqq6qJl6o3xLl50j3cj5+z99pr7/X/e6299g/ffYBNGRX9qDzIyY9/4/f+dymL/67jiiBdHVfH1fHftyPh+y96zBbHMT47junyFKJwGuPZfsx5LwjUWJl+OzNu8d6wg5VyAYgEXc7uufh8vbcB0K4zYDubep6gUFAzn05iMuacueFsOQaTSoxmpi5dxObWy1HH+JxMDuPhwY8w6GnFMFCSCowcBtsjU11jNMqc4J2c8QW5AAQgXhIQAFBmhcPw6HER7Gml9R4ZnmKZPXx1MbZrLgQKGQrocxJoCMI0ugLaJi/OZpsMAkJiiAWk5ex8yGcDDJiLZvWaTeMO5Oh3Xv/3otfaiRVI5d7ut+Ldp38UjyePYsr3NcBcrQ4xQU4JjPlsPj0ELCDjeR9AeBKTyQnycI8TwzkEbILxBcZ/kEBhOjXTmCGEgB+M7ulsGCej3Tgd78VoehJjzolrMiyjBj7XXUhVDXEsQKEeDX8vEDSu3zo2Sg3IlKCH60SfnL4WXqICyF+So+IzTu/otR7KS5Fdnh750cc+f3EIdi//Ll4EwB+7xD8sAmUu/nwBoD92Fp9fvvf0mp9cx/8KQJKgpPhMwlgQHMmNp0C3+OxCj8KLM705+fnl9XzOa14nqVIXU4ZIQHAJ2E4xCOT9Vp3lO8sjqHPdy3hyHCPDtabpbuDzYUxG9DH6hOFHtpX7BS1ch5KAuXi+1fCw/JdlKMpUlF9PYeF5UKdftAdn4TlU3+rRaLeit7oaa+vrsbG1Ede2t+LGzVtx6/bt2Nm5EWu9TQhOD/DtwnjbVtJATdC75ZmEfZ79zDFgQd0Gg+M4OT6Mwekp+jrl+xdlefFquV8Ug65TQd9b6KRZ5pRdURffXOpP6pX6xPvUKt7nddTLUFDXTylTf+c9lWuG4gnkuUZSlmug+M591QTI/t2otGMSbkC65N7nMXI2v2aWu2JtSUGIijb2vaQpwyEZDxoX6zlWRcukBLOoXdSjudHne8p64RqyUtzY6TFmlaLdncfq6kp0O0vIgsQXmZ07fhoGy/g2WonjIxMxMM5QlnPrQPsMGE/UNcOOM3lFElDGBz1RjUaUayuMCSPIl5NPyJQx1iQKJv9oVbqxs3EvHu59L+UiSfTueoFWaMMXTiVEwhhM2dV9nYMmG3DiI9fZ8LcZ16oAez0xVD3bY0lZpoxv0+Uonu2/D3luRbO2RfkPspxoIheaLvxZDOfPIIQQtmY3mm3k0qxA3q7z2oid7etx5/a9DBNrYQ8aTdtFb6MhyejK2Un0Dx/Gwf534+neV+Phk6/E8+dvxwVEqrKECJ5XY615Pbq968hvL9q1XraPfUUCo9bztphIYrzUkzs3UyNt7/YEreYNXrezbc0815/rATXhwytUvEefhzBqQ5RDenjUO9oZkrS1/joE9yV008yCkPrzMjaLMZU23aptRIXrp/Rd22WWE1W0LGerei22Nl6JqpNS9NEFJDjHUe69mNtXaR8aplLt0p8Mw1TufEY7tJBdBzmd9HejC4daW7MPRhwdfzt+8P4fxG/92v+Usm9iAyHZlGVZ20Om42i07DtcuwJxvDqujqvj6rg6fu74pXiQ/vm3/o9JNgoAZrz/BEPEK/9yljbBjbOdIhzBjAv9i1lwjadhWA76F0vucTblPddCIkorzoqf587kywunzEwNbuagiNvX3ojXX/otyNlZ3H/6tczIU8GIG2Kjl0RDnofACIISlMt1ORKjpWEUFxgLvUiW+cJU3yM+B4hgiMANhUEqm2ignR4vCYEEqVVdpXxu8lp4s8oQNMHgwg0lqYPESGrh3krTxZD7FR41sx1RGO5RlKkE6LmLQf2tt/4DjPg6gHcQz3a/Ee9x7iKDEUB/7sw3REoZORMvEclwKupgeSVaAm9noQXh7lov8BFQ5HoXw4QgRgmGPblWoCRg5RLuaVkBSpTRtSV6wfSemSmw2HxWQuaMcgEuJYWjUT/c88pMfSsQJEMdm4319B6ZlMFZ4oIYFeQoDT0P88ywJGTjZ54/bqR8b0leHD9+85O3xRXFkb/iD3+BaH585B38WwXJN7792AUfOy6Jkdf5Wpz5Rcrq0mvkWZAc3xevl4TD9yhQfi7ZuiRH+fGL6/NvvvPI633eCxKTgN17oeP2HcGRQZS5NoTPvVbiXYQ3lsNsbAK9S3kWv0Gf1WuOS69Rypr3yjjL4Z18jmf+/UJuP26HomwFuZLolH5CPgRi3EuvlpMWkoVSjd9nOJbJGqyn96DfLDgz3M4Z8pVotix3CXI+o19SbutBv/d1c2MjdcSkCC6mL5I2UOaiNEno94+exfaGIWIVb/niKN6kLItH5UfK2LJmhjDqYD9xbUtBYn7Sbk56MOxRBic1JJX0Jb113Etv7jljz/TiALLTRl8Zx6r066jGdOxkgSTXUcw6c0/ul15Bn0FzuV7INM6zEr+vV6JX7sZZ9TDOh9sQI4B7rwyg1QvHMxlzZnp+GfNmgOTFGWB6shInJxIjgPnAca8cTQhCrUa5abB6sxnckr4dMRsZRmyhSwD6WrR6Zr9rxbw0zvTQ/k6yst19mTaqZEiapLrT6MWPnn0rdtbvRDM61BeCVrOvMv5KqF4QHj1+M9c6UqdOZYPx2JZxPOfVcTDXhjF+UK4Vfus4N+F5R8NHMRgfxY1rn6FobsD7LqThGvdzvQ6kf3ZAffuMNXPI/7Mcq82+uYIuzZfj6LTWYr17kzp3IHw9dGg96m1IOgSi27lJGSLTwM/OXLeFrCfoLPc7OXmELBbRHp5Hf3RAfarx5PGjuLlzD2K4GrtHu1FuIDj7RUByzgovrWO+kwyurXLrCT1ldCr0A52D8C3Q6V4v4nCvF2vr1/kbwlsxCQLasGiip+iQAdCuwUNG7gvXbG3EeDpH7np85pDdQVxfvR57/eMcZ7UxC/RET5J62+5cQ0Y346j/kOsHMZkM6A9OHhSkLtcooZdUEP2jD6dX1PaqRbe9DfkuJl9sR7MEzimLIYCT+cMYno7i1z7770f/+DE28+V4cvgo1nccOwwjPEfGF/HXf+d/n3L97zquPEhXx9Vxdfz37filEKR/9s3/AwO2ZEOwp2dmlgNwAkGMqEZWICNA0bgaaiewXEhKcn2SRutFONyLADlJluF5Rn44Y6sxu3AfC667ff3l+MIn/zL3acSTve/G/SffyJAELBfXGtonGfFeBTAC4gEIC4JmHLnhIZIlwZMz9YvlkG8kHTwLG5qgi7KUTciA4RTUOaNdbKgKKVqBQGS9AC/NYj8J1yHpncnQJ+ot2bB+OUPL7axbhfJq50oQmleufTF+441/N7rltTS6D57+i/ju/X8cRwDJKc8sZX0EuAVoFpw4u58hWpTPGfIie52eB26qfJGT1wtAnX3MTEvWhe+dxbwAkKVMLBNl7Ta7AAmIGEb7jHLPFu4fM8E4Y9g1zNU69XkBBvlniNzx6Anfy656UXLfmzogJsPr2nxuQgaNdEGOLsG6h6Ar29d2yNeiXS6PxNj5pnjxzwTB/v0z5+Xb4k2+y8N7Z7vzajtcHt4n7/XiKN6/qNeL74pTORZ1vfysIDy+L+5/+Xne55I80t5eVxDs4ruCeBTXXlbtst78r3iG937xu/QyLgrA7HeDkWGgkiF/jaR4TSIO0TekKz2s/p73PtF7F6ToUt75GI7LOljOF+XnU/tY8ZuidH7u9/6ZbeZ3L9rO8CsnBNJj4HPTCyN4c+2I4O2F98m1gfxTyZtrgGwA4GxarC3kbtmPJRDr6+vFMyhIpw2gbKo7BUG6FJYprHcFc6vbkI0Gn7z4gmdZg4Js5weclr2YfBBsW1e9t0kgKaf9URIjAdVrkaSfv2fT0Yvxyjs4NhTy6J89jupKh3ozBlVHCYIrK2sxpE30NNiitpl1KtqPfqbsLMtFOddA1przXJPXXO1HZbHtlVwiEfJ5Zuqjju5dxLlcQKxmptWXvNkyhswZhud6HtoM8uAEiVkAT/uQNucnHAuS8DSju7oKQaI/Asgn5yPuA+msrwCQp7Gzdo/fmj1uGafL3WhWN2LKNUfD/bi5ei/7qeFX7U4rvWu5DhFdMDHLBc+cM663zGIJ8aWmL+Ru2Qpia+inE0CL83EM50fx4dNvxN2dz0a3dZ3n1mMIWSpVXHe1zr1HjDVHMZrtIrcKROoxMpXM6OEZI/sl7dMsyByMdYm+LbEX3cZWbK2+FJu9e+jLtZjrRWdspZl5LsRYsdMEg+O+qRxicG6Y4yKGs5NombjioouMupge+45E3XG9yILqurncpBy9Npqhaeijg/TFIZ8Po2T4J//6J0eMcZCRyhi5cH/Gz8W88EZpJ5q11dRhx/3JZIQpMnnCJm3EbwdHcb25Gc9ODyn7DLmpN7Q3/UP5r0P+UKKYjJ7T8hAq9LLZlMRcYG+UtREJJoEwFLPGcxknINXlivteVWNw8gTZoSt1ykc/HM76tEuJ313EcPoYPV/Gpz7xb8bDxw/i4dN3o7vmJFoRdg63jn/tt68I0tVxdVwdV8fPHgUC+gUPF27n+iGMkmTCNUJngD2JSs6SY8GED2cYovnZNGZzd0k/4TzKrEQupMbOYajrAC4HfQxOyxAOwUEfozDivXHno7hz7eX4EuTIULcnhz+I77z/B2ksFmeCIsPYNILGrTt7DJQReXO6YFYvEO8waPXo1tajh1EzzMCEDYIqwZHl8BR4CQotv6TLxAfFOiVnbrmlkMe6Aa4kLJ65jio/mxcAEvG61qJhyB3AQxBgCuTPvfrX4zc++R9hjNeo/7P43vv/ZfzL7/xn8RTAMKNF9MZJrBoYa5MeZCgN9xXMST6ayCe9NdRJgygoF6R5WRGbXxBEfsh3ANSFO7YbrmTyBr6jbIYUGv4x473rBhbcf8mzR7THcHqU2QAnSZgkG0A/4+BXaiFvm58NuHtB+OoVSJLhSYLzfGrx/48flyDc8pwOIJLIoiDFHgVgz/8pzEKyxQdUiNb5yUkbeYqM8r3X5JWX1/F/5cR3AtgCINseXv/i2j/v9WOnf0t88vXHpwpR3EMMb6hMkpsX311eVxD5BfqsPhVAM4+sf1HbgjTqjfATgVJxD9eCuF7GFPcSIWf2p3MApWGa6M2Y9zM9i5M+gOsgRsN+AqWClBV193EfJ2vOQFse+4OvGS54WV6en+eLMhavnBTM9hIwCvjqdUBjswWA7kavtxpra5ux2tviXOe9r1uxsbYRm5vbnFsQmtXY2FgFhDUSeNtXXMPkZMmQMpu8QWL/6MmH2e+zjT8mQ4vhq0kdnARwTVFKijIVeiTRlnwXXqBLD1fKNAlWcY2vCf790/vz/OJj+gt6MZu7P4+TKUU72Ra2suHAimEpOcrNPQ1npM94DfUYn7kXlHICwKsDya7QO97nWiTHDJ41HQC8667PcbNqiMbiIk5OAcFTSAyd/OKiES369uZqK65v92J7o4ksy9HtLqLVnkS9CUhuCYTdN8cwYDeCpZ9zn+nhOJpb7WhfW4/OWg9578R21/TVzdg/7dMu13OM8/DZjmdz115CHBzw7+68GYfDhzE6h7wBoik0303j3DVIyIgez3CzNBUDejeN07NhXFT1WBSyVZY5Zisxx0/GDwn+w+dvoy8lCG0XDl2JeqkdW91X47j/UYzH6CvPcAJmuVQPdmkv2hDydF5Cr6eOmdyf9hwwBvUn+5RbzwzjuO2mZ7raimZnJ3qbL0dXj9L6NfQS/Wx3Ynvrbqx3NyCKG3F8SJkn01iDHJ2jb25YfjJ8Fr12I1Y7JthxLIVYMaatda9nOm8T8LQgSDX0vtWkzSBTrhfb3FkLhizag7qWkcPFJmc3dSqcxFO36F9Lw5upg2u7Ou0eulfLvmuYXQeSP+d59usKfcJ1fTvbdyB1HeRFn6LM49FhmGzC8cG+l7pLe3eQ+3LBc5B5tqXNhV0w3LLVbkIwH0OW3Y9sGYPZ/ZicHUOU+A3lkmSWVs7iaPC1+P6Hfz86m25C24rxBDvivEZZcsebq+PquDqujqvj5w7t5S98mFQhwXK1l4tDO+3bvN6LWu06n7dFGxkWsoBFnGM4M7xh4caJzqAKLDS0Gt7zBEXOkiUoazUBGIa4ABYY9D/7iV+JL37q9wCotXh48J346nf/XhycPue+AB4MqWtwBMUZvoIhdpa4OAHJPEKDWKOcZmbSE9UqN2MdkuQmsPl8gE4CLqSCHUqwk2SPck1ngyRzs3kfQ+4svzN8POsymxS/dYbPX15u2JpAYcWUsoALzJ2g4Uuf+KvxxVf+Ooa4xr2exduQo6+9+/+Ng8lJXNQ3kiTqicsQOU5BYKPWRS6Gs5lFrthU1hTphihl6B/3PoPsnLnrvKGESYKsMxBGoggx8ntT3Z6ZOOPCBBKTmABYBspMLUDuykDv3pz6TDHKgkhBn3VVHhIxV/jM5vv8f0nb0k4mZpCoUS6N+6UHw+MS9H78vbPFe/vPxWE/PvK91+Wlws/iLD74yXn5eRIWzxdEJn/D3wVR8Cw+T4IAWbSd8nuRond6UZbL08+TVHGevbhPfsaZz3pxPwG6a9SODh597Pd5yzyKe7lGxVDRAmwmqJdg2krK1785Bfl+f46+9Yf7lLMg9oZJzpB93hdZGlaXYVwL6nB2HjOI6wCCdHSyC9geQ1YlQJAf9YV6JjFKveTzF/U37DQ9KFm3gjDalsXfxfv8l4TUf+o+PQSQJkkyq1k9Jy266fHpdlejBxhdXd2ITmc1EylsAtI3AGDXdlyrtJN7/KibmcSB+4+nAPTZPO7evg1g3of4G25mSCbfo6uX8s4D+Riq6bqgyVRSnx/lWXytxhe6pmT93JDA/Fv942/BpMelXvihGbvs08p4MYMQICfb48fhqRIRQKWZKk3BHYDOcwiSfXc4HiCDVQjSaV6vTuhJ0+vi89QddWOFbmRb1i/WYzqa05/bSULazXZsb3Zifd21XVVIjBn6KC+g++ziiOccM35xTofpJRzPRrmu0DUnPt9+44QPFUvdGe2dQo46sbZ1HeC/Fp2m7bAZE8rphq8rNcZdf+n1hoO5rxy91/5RX2nFtdWbjKHfi/OKpBkgX6K/L/TKSB6UxyLKjFuGd4343Lp6v+LfOWPELMcHJ4WcDNrv34/jk49is/cK15m0AZK9Uoe03IvT4SymEMuLDNOTRC6p37ME9SaW0FMyNQJa+dF+mb7ckN/U2xlkDJKcEw5LKBskkrqt1dG55u24e/2Lsbp2O+qt9bj10q/GRufVeOPlz9BHD+L1678eF9NaPDt8FoN+PyaDfcp0jF3BntScNHgWp4MP6VtTxjDaqAHp1BsOsao3zIhXiabj9JS+Y8PSxscnR9iLG7w3CZDjgxMA2Kky+nIxiP6xYXLKepkTVrbfdI7c+e0Xbr4R6z0Tk0Aeq92oMN5X0/NUi+H0OIaTA2RjtlYnd0x0chHr9WasQaRdw6rOaxtojPR25dYU9OuS468ZBfk7U9LnelgkrTzD7Hpj2tz1fw/jc7/yBf523WjErfV78Wuf+qvc7+q4Oq6Oq+Pq+NnjJ2j2Fzg0mc5Op/GUDJzrMVmP8somBmkrGpVruYt3rbKFwV3DwPhdIw2ipCmJBsawADqSrTpGR/Bfzn2Crm/cid/47L8Rn/vEX+H+lXjvyZ/Gl7/1t+Lp7hMMaTXcP2MyO8XIDhPYa7ynGJQRZMYZS0GrgEnvkeSqCtnQ01XFgK9VN2OntR0Vyq1REeRi2wt7nOBKQObGqMsEMC4yNgmFe3AYP2+KcuxkHhIXY/EFDY0ahMZwPG7rWipqFb/x1r8Zb936S14Yo9HT+OY7/3l8891/GKfzRZQwzIIpn1V4GQpgY7lr1U50jMWvuzGuHinJjF6YIrxEEiVhSfKj0QQwrwAyDCsErmW58n5cdk65l+euARCQnRaZtrhKMOri9pJrBQBg6XXwO2SnTKz/DBApGpzM96j7abTq7mlTeLP8vVnrirJbHgT34vD3/C/PTqsTJ/1jwJiegcuPvdbzhSBfHMXnxevle4/ib3/x4jeXX11e9+Ja3wu6zSwlWSi8ScU1l9/laTtfvue8/N4jCQ11TuAtRKF9DofP4/DkMZ/lR3m4DsdZ38vfSVwu318eP76vH/MqqO7Pjl4QIkkxwMhZc9fO8Lehbc7Mu4eJs+kSXhd5n44O4+DkSQzGJwncJ27GKpECmAvOXb8znU55BWRmAgeJU1GvgqQV5bEcSY5+5iwKSNVsS/qhCQ1MyV+tN6LWaAFqIUmdNYD5enQB56uQpfXuZmyuA1qvXYvVzVX03w2ce9GoG45a9Kl7d+8m0B6Pj7hHnXt0KSckL8lhIS9PQ56SoAECR+6lhP76eQJoy5V1sD8XFbn828bIV4vPqzLljvm5pMIQNuXg2iTP7OfZ5sj8QpmjI+gKtJ+BCMJUPgXOGyqLnLjO4dI9bM6i6AeKKsvLs+ynvjd8zbVIDUNQzxu0QTXAz+jGAtIY0e4uo1xzDckwRsMTxoFR9PuDGI/GtF8RXrWcMx5OzvnOyY4lY2CZJ+uVpyA8R9LZMQwXwnHeYnzodaJGm0wYj9xY2z2SoNnFxAc65NCmHunVUDiOC7e23oij8cMYXkB+KobUURn6uuOIXjHHyjgrR7PcQi7ca8WMnBJQq47MaBMjAfTUj2aH8cP3vxbXtl+BXK5y/1LK2jG2VVvn9p047H/EPQH1TpJRFzME6kkyY6D749lO/pPId9GlVtPNXB27IIvTAa9zfqvcXY9VieuM2bexKa9vfS4+dfv3Yq25HTe2PhVrndeitKjEp29/Jjaqd2OrtcX45NrN8zgZnsfhMeMk99253ozbN6/xHP1ye7SvntkHMZrep157iH0R1zcZjyGLndUW5PNGLGjbRvswhsMB+gkBRRjuSeeeeBLJKf3UzIQLiO2Ya8a0n/1GT88Urbm9thE3dz6ZkQGG7fXoQzaOBPF0eEjNisk8506mtL+RfhQurkN+7YeLM9cnGd63iGa7XhDx+irP6NDmQ3QQ/eAuOVlAm5eQ96u3vhivXvv12GjdjsHBU7rfWdy79RY6Vovf/vS/A0l6nd9cHVfH1XF1XB0/e2hCf+Fjht2aYtTHALOFM9h8ZhY0xnqMOu/PDFvpYjw2GcSbfMcFGBdDtzSwRVic4UL+UpLhwt0p19fj85/4d+Kv/IX/bbyGEZT8vPf4D+Nr3/lbcXD0BNtRxmBMAFwjXvuUA3Lk7DCG1M1SZxi06XLMHQFYGHZnYTOsg7MOaqlDlCQXvVIrNp0thJAkAMhDY+0GhmYNKsJ5JERuADmYFZmYpmeH1GUWZYictTYxg6FruScJhj+TU4DC3HjyN9/49+O1nd/F8F7E0fF78adv/2fxZx9+OSaQxWbvXlSb6xSwinEEjBofn3sKATTrJkDoQRYlWzUARSOaVQwyRC8rBdhxTZXAqCrButDrBfEEFLueIEOP+Jc1AnwU3oU5gFCP0zFAzTUbgk8AkGa73KDmgqoV5O3aJGTJ9QL+KfXTU2hYxgxgn+AZsCbwukzpnQQJIRZnIsi8fz4jZz9Xcg3Kk2d6YS4JkQrxAiJ97PrLM6/4mb+L3xQA2H8eBTj+yTUf/40kofAm/TRJylPw+7GzAMPFwdc/Pi27clrfuB33P/o2pDCvyM/9Z/3TY8JngnpnwL3/zx5+lrPkpVkcn+zGWnuT59oGxcx9EiR0z7IqTwHd2IxuPHvBOQIw6nU6OdkHiB1n4oyxRGkyAFgNYg7INiuhIXr2hY/X5/JwQsOy/zickL8kIFnej5U5wb9kBVJepz+6j0zNzHUN+o9kqdHJNURmIutImnpbLxIGdKPdMSsYdKNRi431Xty5fQOA+iTDlcwMNqLMR8f7MRwNwr2IirYRfEv8S9GEZBkGN5/rSXhRNst0eRZqncfPlfvFq8cleZLApmeNsUYy5Oin10wZndFeylkPSuWCvlsd0QeO4gJScn7GhXw+HZ9SX9fw2O+RnwSF/lR445QhsP/sBGLoZtkQyvRE8fv6EALDsyBdptI2fLLoJwWRaFa7kMz13OhzHTkJ6FsQy24HkonsGowJl0DaGpZrVUhENzZ7t6LGOHAw24uVVjWOIO07GzfjpZuvxbDfp3/yO5T0jDFscTFNgVFSyg4JZHza2LgReyfvMOYYSqxXnHHSwZmquaWCeLtFf3d9yxz55BpLdEnCm5NBkC499T+8/7X0Km6vvcnjGtSpy/jkeAQpZcxaa70WT59+FKfTQ8YQxnqAvdk4z8+dZBpHsRZHERdJNvqQhVKN51csyjnj0Ajb0mdMN0tnsY7S8WhGG8whaeP+YdzbfCvWaltx59qnoj6pxc3KyxilYdxc32HspHfWzpKsd0xkgc04OnyP4fZ53Lxdi61tCC1N5Zqj+ewRY9tHETyzAYm3r5XLEJGc/KnH6hpjNfcxCiLHOKioIa8np0eMuXO0zPA47AbyGQ53c8xuQGAuIM2bzWU0qX+7vR2NFuN+tc3ZgCgzll4orw5tM8rEE4sZOsv9p9SzU3d6jX5B2xhiGVD4syWEaVmEi7ttheRJ/rzEJjQgzb22nrhpfLT79Xjw/G1s4zR2NumzywG/P432ygb33Qgalr+vjqvj6rg6ro6fPX4pBOnsrMlZCTBOzBilNSSCbfGKs+RzAQjgw/VAAgk3crzAALsjO4iEgRxDeQ7Rcf3LBFCysojb1z8dv/KZ/yQ+ce+vYth2Ym/0JL730d+Lb//wb8eA9xoSQ8fMejfGEDqTrgEVFPpMZzsFqQsM/wyj5JlAUcMPMHHC1ExFWX5ATgMD2K2vYAizSPyPsmMkfUZCH8pdzHMazncY48kTDDckab6vuc61PNYxPTt5V7AJoHKrfSc9R3e23gLgzGP/8IeQo78Z33/03RiddaLcWMV4Q44AFD7jXKML4TCkrgSJq0mGIEdmR0pQhbGvVDq5YLjqZ1yzcoFRhgiVAVslM/2FBtywqymAR08EpGdFYGRbubDZBf8X1GOYhlViKfnx2SATymKKYNtKr1SRknbKOZdElVtRqW4A/ov1DKYTFnjmCQjIvY4sJ6f3yPVTSChPy8A9NtY3Y3f/MQb9J0kjfiw0DuVwCYZ/6kB/0ivAV5fXfPz0uHyuN/TVzwXekm+Btl6VS2+ShECd8JrCu1QAdF8vvU2Xx4+fwbnW3UEmC8o/pr6Gqyi3ogKGGnqZIF+CmUCawzrmP8uCDALs+qP730U/NnQS5G8E53qTksAaNmef4b7e09lis4PpCfSawfg4Dk8fZxpwkwf0AWj902P6xil9wfTvEGBXkHNf9TZfOfNBtNzg9AQdBiy9qJNtaZmLJCC2idfxG+qmTHNygbMC+XcPH5OXVGoQ4ir1p89M0KNmqx2dLqRI71FjDdDcAwy2ObvxxifeiBF92z1/LmIa1WYpPnj0vXi+/yCOIUlu3CqJzZBOymNvc03NeAFBos1WbBv1hPPj7UIBs4zKyTUy2RacXrNiJ8+mKdNWQy9GdmP0X8Kl0K3zMu7ceSPrKHFI8kKFXBtzUT6iPCB3wGiSea6djy5ivrKX7WP4qlM6ltZJFPcQOkWmHQBx7u3k3kNt+lzpNCo9wHNd4uw6TTPSlaKz3oxmrqFxLY7asch2M63/ztZ2XNveiF6zw5hEPwcUUyFAtCmxXQ+2E6uttbi+dotutRJ748dxcLwbt2+8Gh3GlJs7dwHOhtIWMlgwvuohXkrYkJUTOdvr9+Jk9Ih+jWwgURK2HLf9Ae8lSrWLBgStARkB9CMj+3BmrpMkIcP9gw9iMHwaL9/+HGC/w7MB/wB/IwCyXRiT7l7/DPrmPkCHkHnXnurFRjepsZ47w8XqDSevnAxwneIh93RNDu2ObjlhMHLLgkUfsuq6H55dXsbR5JBxdxirzQ3quojWpBpPP3wnts7WYvaM8Ww0i83zmzmZZPe8KDMWQsxNe27Y28HhMJ49e0ZbDqLeoS9DoiS00xntxVhWWtnMtm3UTfH+JM7n/ZjR39xDbuXC7Q5a0W3f5ArHScYyyu45mfbRXcfAYQwGH9J2ZzFBbo8n02j2qjl2lKlDq9mLehXbOadu4wXjdDFpMJmYgKGQ8QSbUTdigLHLpDud3ir9r1l4kuyryyPEaJpybS2V5Kihhy1Tx/P7WWkeo9JJHMw/iPd2fxi74x/EwcED6nQWHzz5o/in3/7P8zdXx9VxdVwdV8dPH+KiX/gwlMKYbPcHKgH09UIYKqZxKdZkOGvr7H0RJuHMYyZU0KhAYgx/MGPaxvrteP3l34svvvk/iddu/RUMw/XYGzyNtz/6B/GNd/7v8ejxH2JEhhg5iYiL/fv8nvvp5cCA6E1ygbybCwoM9J6IDgR+buJoCHymr44GBqiF8XZNAmSk0uZZ69EF0KxCkhpUhwpAuNyHxIXypwkwzlcsu94uZ+aPIXTPIWd7CboMYSmkKZAUHCzjRvdmfOGVvxibrRsY+1k83vtKfPk7/0V8sPcugKMaNcPqIEK5KShg3T2MBKe5Jsv7AFYKUmB5itlCcRowlvtLSiRRdYBqN6qVDQz2embVczGz11sH4bk/L4y4RpiPbZkzSBJAe352wkn9IEgCH8thGXjhqryY+s8S1GR8O4WRmGV7IlPB548JEmeJM0Hqxw9+I2BNMmLZA+K4fi0ePX3fkry45KdfLw//vvxMMDt1sQJHfvbTl/7UtQWwt/2Lzy9JkkRDHdGbVBAh6vqCJBXnJQD/yb08EuxZL/4TTL9y77Px9jtfTe9hhqLxLEm/s8ruDWVYn54JU6pb57xvekH0+FXjw8MPowXQceNdN0RVZ11HZ/3ODLHisyRKlJMf0W+4ZjriBCByP8OOjk93OffjxHOwlzPZpwPXsRhyZ/38aVGfokWK/wts2512PHnyUZJfW0Vg5w+SIHHaZzwu653reyRr1LdI4ABpEnjSn04nz/m7Fc06xL1RA8BVAfFr0dGLxHnj1p0o14GJK0OeW4rNzc047j+PZ/s/4vUpdQcgzvR6uYawIK/KX2+pZHYyAVC71g+ZfNwD6DW5xkb5X7aPdbS+vr+gzJRb3LhSoz7ot6F1GQ5M2xs2VuG7G4DOXJvFvZxDsV6uDTJ73AXkaOXcMaO4tx4BPR3nlSFyo8P7O/VI2ZW5N33ZLJd8AlKlbK4RrJYhVbNwb+xzeE5JWUCGRpAhkxOcjIYQTMhMaRHd1XqsbzWj26sA0pFBvUl/dlPqwoPXa6/G1sa16G1sZiIbM8y9deMzMaLd99GBuzvup1ODPG3xu1IcDQD2phVnfHL9omJJ4s34VDP7WrsXu6cfQjgMg6zzGeM3/RPRUi/qwBjYLLmZqRv7rsbq6iZtWoROmlzhg4ffjju33oymoXRc02p0owOp8/oMyUNqErHSeRc56vVu0dbqdbHGxv2zHMtqTXTcRDDla/QdN6YtQ6ZoAwiU5NE9i9Ij6sQYhECidzzZj6eDh/Ht3T+Jbz78w/jq1/5ePHv6g2gsG3H9pTvUfRSD41G0G61sswrPykkj6mVSFPuWm2nP5+eMxfTf6jg9gAvHzspqTN0YKjq0ZRn5jdNrfnz4LE6O7lOeY4iUqbwhg3r3a2sQsBZ9cY/fOEYEbaf4juLw4AcxRIeH1Hckge520a1+6maGzs2XcW2H5zAOT8fqeTFhwbfoK3qqHp+V6Fv0r3qba0YoUoXyzCCSejqRIdfr0S5JAk29j65nv+W3VJ7x4cNoQ9KrNIHrlU6Wh/HV+38Q+9OTLO/VcXVcHVfH1fHTh+PwL3wIuF2w7zqUMoDAHdfd0VzwcLlfj8AmiQsGV0+D6Uk3N6/FG6/+Vnz+U389PvvmvxZvvvKXYnvjdaBDxNP++/H9+383vvLd/zTe+eD/FfPp+wzwy+i2L2K1DYmpucD6FGAHUAE8eswAG25C6RoM4/k1GhmPTfkEggMz0QnyABsrel4qHQyGaYRvRK2+wz1Xowt42WiXABgCFKEooCeKuG/3CSkMEABCosW9JBe5IS5GVZCV3isAyN3NT8en7/5W9DCes/lRfPD0n8eXv/s34wNA4RzA0+xscIsmJRR4AuISnOo5sC7O4uqJgWTmrK7/Ssi3zWcuajesx5l2Z/w1qBh7gKUGUQ+SMeluelitmk0JIgjoKfFbWgkiZXpbN7uleTCcrjMSLHCzBPXO1ppJTRCZM7pnAmVJm4umAaqUr1wy8YSeN1PzXnqMJMgFQfDvAlTbAj99iLks980bd+PBw/epC7Lj2R8HvR5ZL91dP3VcZGild02S57+P/fbjZyGLoiyXn3nPJC4Qj0xeAMC4dN9cXvPnHZd1yTMZ5krcuf5mHJzsA5ImlMW2V2sL70fOnucvzwtw/wLUZ91WKjFYHMfT3R/FGy99BsC7gX5IwgeQHkAgJNTync1p09kU8DSLc0iC60NsZ0ntdFIQ8sG0H0f9vVyY73OcfZ5NDDcVRPrMn5A9JeZrQQgl2Ctx7fqtePeD79DWNAq6LYFLz1WekpSP1V1ZqouCumxnCBKfQVkp9370utfRNfq9QJv+0YWo51ql3lps71yPwew4Kq1S1Nu16K2uxd7BRzyjCLEajo7TA2aYoGusbBvLaAIHV6voJZvxmaC60NGC3Fqu9FheluuyrPl30QL8RdmpN/Wz/ikTyQtld8LDdTCPH/1LrgLsUv9WnTGMazLFN08vn68yDuiZpU3z3uWoXmzGcPncSKcCgNpfy24KagiqSVRoriTD6kGLvujaJ3TvYsrvBf9FW6yYpKBdjtW1OsSR36wYQtYP9wrSm66cy5AiQ+qqEM8OF22u7cR6bzu6jY0Mb6y6OSxE8sbGnTjTK99qIqsB35swB5IKoTo6PaSN6bcVyqbPywQUHryste7luOb6JdfXWX7X+BgenGG3EAsTIuys3o6t9VuxyXPW165Hu9uJo+HT2NjuQogNu+XZtFfKh9f0oNEPch1prRerndsQYOSTY08129Cy6JnUo6hnXI/sbLpQ6hnWKFmbjcbISFbpJJdE1PWU5dTZWoe6QlwmywHj8PPY12Z8+J3Ymx7FI0hMZ60UeyeQP/smhMG+oKfPzJ+2ganTsRro1DKODiAwQxPw8FFpM5aVzZgua8jUNT47lLOD/Nw6gT4ywypQzovSLIZjN8L1N9wT9uEmvXqCbN8aBEl7YQbBAcTp4Ogxl+nJ5FpMiOuX4D+U3f43i4lJPfiOBsmx12vorTFnzN2CnNYba3xQoR+cMXZx/1qX11KMhtSlXqTVrzlxQd1cE9nAvLh5c43vXIu6dFIMuTUh6ig2thBZOhl4dVwdV8fVcXX83PHL2Sj26/9n/u+gDGYQlFcMsQMAYADdsM4Zx7XV67G9dTN2dm7Hreuvcb4R25uvYcDdRLCNoZjF6fBZ7B5+Nx4+/pP46KM/jGcHb2O8jhjQIRSM6g1DzhLg6wEqwkQEfHFRxMn7/nIdk2myJWLOmmIjMEbFOiQLWQcICOYyjh6gZdic/49SI2eRzeRWoR6lKqSiBPHQ2GWYWz1JhyRDT5RG9zxMZ+wiWUGd2ZGa8dad34yXd94IbFWMJ3vxgwd/P77+w78d+6ODaFBfNz8sQkww2AKEBLICN71d7sdhKlrXR0EyLRfPUb6CsQVAJkOBqIdkJr1yfgZIkGwU7VB4RvTqCe6M59KYen/vXZAmZ4y9r0a0Qb26EE3BnkBCuQj0ATyALgHzbH6abWTacQHRFMDb69yNtY7ZCt3/yNlfSJJepBdA9ePHJfko/u8+PjXA/RFyG8dabys/9eDp+X8B8mBwCrhEvvkJ5QS4PXzyzdjavOtfLz61vi/u/bHX4n3x9yXZEiRal8vrkmi+IAJCET9PufG74prLJ3/8KD4zwccwN6h8FluAxlzs73N5tf627wSw5P0uQw/10pyVF/HNd/44PnXnczEdTugHt3Kdw/PdhxAB0x8b1inZLWRgqE8BmgBK83lMDYeEUJmGPUvGPZE6X0tw9M5RQoCwmyar44VnryCvWb+sJ9dQRtvRPvH4+Y+ow+30rtjG1s9wLMtctCOndfP3IEiv0Zvo/lnPT/6M+7Si17gbNZ5j9i1JlvvCKPder5NyOAMYlqoViNR6pnweASxNly4gR1sou94E6gK5stzp+UF2uwcf2lDRaW2kTO3frsWR+Fo3y+dv9XjZgyT3tqsp012vYnvbti6wr5fXkhRnn0k5OLEAwD57EjPAsG1lCOZ0uRfReZfvuffk1VhZmKjghR4gCj1Mw/Nn1LcLzqR/uZoeAH8w2osWsmhCCJzNL9fcz0g/E+3oDj2UUe+hQ1R6iimDINlEBJbRjJh6IZVdblANWavW9Nhxcq+W6axNbQ3prEGYqvXCC26mwfefvG2N4nSyH01DG5udeHJ4P+5eeytGeujQ1V5rmyu4Ct1Cerw/o5yMabVFDEZH0arcoBorMR1P0gtqG2zwvG2Ika9r3S3K1kbutUyAM4IYb67fTBm2G+uMmU6S1RkjTLxQ7KF26V09Gj6Jg9MPKHMVHT+A+EMAHUIz+oD2oZkuzgoS2mxR//pWuP5SsunkTAdS2GygU05sLIZxOj6kzKa0hoA6Lgf9cbAXF0eteHZ8gK7QjtWTOFx6HlCm85RjC7mYNc6shU6e1erFPnfqhIkVJLZTvjMt98oKY7AetVK7mLSgnpIN/TU0I/WlZSXu8wa/PaFRT+l7I67BVjV7kCs9Pd6v8CqPaYdS2bDBDXRng34xLdYzQfIcR3rI9/Cor1AKskOby51ay1Zc27gWx7SZk4zzTGxyEavda9hBCGUFksdz3PuqWYUYVS/ipL8CiaWe1EPCtEDFGB6oB2VXNym/w7996V//rat9kK6Oq+PquDp+9hBl/sJHrV7KdQYba9dyfYmLs9c3d+LlVz4fb73x+/HaK78Wd2+9FZtrNxnEmzmjdjJ8Gk/2vhXvPfzD+O6P/m587Tv/j/j6d/5GvMP7g8N3GMGN0+9ihEwT3gJgdBn8AQf17WhX12OtsRnb3c3o1J3p3cfGCipLDPquMxCcmlbYkBfJhLO2VvUsRsth9OfuxD7OvX9c9O6r4EIPS62yGU2Nc6OVoRmtOs9s3sJQAtRd38MzMpuSgAnDvrJSGE6BU6e5EV967S/G3a3XEOx57J++H1/94d+Ir/3gb8cBBr3aggy2AGkYW1OTOwtaECsQE+DSWy4pl2uZclbfR1Af04TrWcq9bDByAs/MUOfvAICFpwQimMBnyucQGUjkr770r2IsNwA0GvkG9Vql7M66Q3LKlKV6G0AjOQG0CSQhRoYIZepyAGbuwQNonlG/rCPPtDxm1ZOQuobJTHq+L2C0FKw4LgnS5euPD+8hZKT4n3jlzfRgpCg/fhl/CH5HQxMTGIaZ4kVbL2K8hFSdATw8PvYjwftPTsv5giRy/BhM+7myBdybpUrP43w+DZMbFOuSgM2cyrd4D4QFVXh+/N650SfA9pXbn44Hz95LOUgc8nrJNq96kaykZHY84fts44v47oOvxb3tu9FyQTbP+d4PvhEv3309tq+9GqfDPgDedXWFlyuTY0A4XMs0nqGvJiGZQDYMv0MHDe2czAb8zvVEep9mMeFcur7MUFP6gDP1GVpIfX3NRBmAKdemudfNzsatBEofPf5+odvW3++RX7EWSdkWZx6IXG+SbT4HAJ6MHkKSX04dNOX1nPqaeCDDrVrdaEDIDTFsAUSbDT4DoI4mh7QH90Rag/kx/eRR7B09yLA7w+wus9pRIMBfPQ5Pd3/sJRsOjyITVgDsbA8P3uWrulUQQdvf72kLnuE/Qb1EzHHAWXW9Jhm2iH4N6XPpQaNNV8qAzCZkn7FAkHxW3Y2V3nGsVM9ybFFmrvkpX/QYRz7MOqiHymQMuW3RNxJMg2yd3jg3dJF7SmIMvbXijWaDcaYaNSdqeI6TGILwTmMrNro3otveQFZunus2B/TrCn0O2XUZV+st137xe75ze4IKpBNhx8Hxw/jVt/5i3N5x36FnUW3wW9rSdlrjd3qi7ce2aeHh5UySxLjVWIvB7AB96xc6jL47BrXa7tHDeM7rKmWyXD3G3G5vPTrt9bi+/QmAtuMO8q34LMae0oAx9RjZ9bmHKdrtDzOI1A66uh9T2t7tCGwjxJ/tVC67Tq0V29vb0aLeSk4v6Gzs+hq9JecxHjHWGCJXcrxWn52sqUSVurguy7DiIe3V2a7Gzc+txqTNOA9Bmq26aesyyYOVdZw0LbfhiXo602t/PucrnkO/GQ71bvdiZ3uHz2YuSULOEJ7aNjLfSntkggzDF217bcF0DHWpdnlFjyjjbFmEAVZKPsM1ZD2uhChhl3aPsUsnz2N8cpr3cnx1zF2cQYCrPfTCccrJKcN0TZqB1aIdy/UOMjF5Ef3YD9UlOq4Th7VaMN5j9xwWqeNsshKdbpO2upuTj5Op40FEo12PddpT4ipZkuT9ZAS9Oq6Oq+PquDo+fvxSPEj74w/jxs7rsb5+g3G7CSgBGzJQny8nALb9OBw8iN2jd+Px3tvx6Nm34v5HX40PP/oW5/di77mLfPcwsmOMzALwgDFquNM+oP18zOdAiBUAQRIAgO6KgMIwkBZGoZ3GebHUKJuZSs+VWdicdZxzLYaG6wUJAmTBUy5E50yjiPF1nYEhGEWCBQ0oQIrrBLbug2LChFptLQGfWF/vgDPGFQBKtdbiOsN9OmnUX7/xibiz8RL3nceT/W/GV77/N+Pdh1/DYJ7lBofVWg9ihqVKCWkynfUHJfDOPWMEJta3Wt/kWQ0+53mUW1nmWhbu6+yps/eCa4GHRGa5NHTHmUJBjzSFf2crsbX1UrS7GzEYIV+dEAlWBPwCXEMxXDPmDLUepA7PMg0v8kF2eqMyrIh/rhEp9goxC9ROrHbvcM/nlLkV1zffSiDnvjV6SiREl+flIQj6KaLk39Rfb5QbhrZazVyw7BWW3Wd66GkwAYcppW0cMCh69MPoNiHJdT1iP38UwLg4LwmSrwIy2873Jp6wDF4jaTgToABe8hoExcc/Lu/lvX5SfP6GQOh5cp+go8FezChjecxvG5W8/6VXas59J5BxCYlenOfDJ3F6uhdv3PyVJEJ6Vvqj4/jg/bfjN/7CXwPYHsT+/sPM4CXZVWdRRu7nGqVJuIB/Nh3nDPfEBfjqjnW84LmAdNczqC/AxayD+4k5W25b23dShiZboDKFjJX1MjY2bsc7H3wt6oBwQ2WVgx7SQtftxx8nifQ3SfPZMB7ufw1ZzmKr97odh0vdBPU4GhXTErvBbCeGgMez0hjyNOfv1UwgMZmYPdFwRKW0pO/Os21db9NuraKPrm0qSPfxYDd2Dz5KYCd5muo544eNuhtJ6wVG3srcNkanJKf2j0xTT78oEoHwjItZVBkzcgNr3mf6f/r4hemr4wjd1btUhEguqxCw+iM+34rl8d0YTA9ipb0ftRZjgiFOcwlSDUD+LJqxjhhpL0D4Pn1io7mZ+kW3ogHQkfoF3zGU8Du1wnUrVrx07rhWpU+ZmbIF0Ick0VZ6mBzfHOeyPW2HahlAb3gdeo988jqIkes2zRJnmNn33vuT+NIn/9WcMNnvP6WYF3F8+iyubdyhvSDSi34sIBrpoUNfGBGzbVFm5HMa/fEzyPc5RJax51yivBIbm9dibXWTdulEMwluK3+vLqmfZggdTA/R8xPqSfkNQcu06KfoqBtO76KDbca/Bfd/CAn+M+pmem/bv+ib9guBvm02gQSZPKRaM/SuwcfDkIYot/KKz3e9j32xydixztjQT3nphT85GdINVqJ1i2vXYAz8N4sXxAfiWuE71bmhjkNCfK6eNMNblUPRv85j92kpuqs7yLuRMj9DJxwbSoxxhW2RCDqO0o7I6HzhGMJzVtaTs9TqbtqqXOGtK5BlfrtcGKp8BsGqM6bN49df/2JsdrZi73gUtWaFMeF5dOqrECXJkpM1EDrXl1K+Wg3b0OjE/mQAwSrGZSdQ7MMSI9fE2k97yMYxfniKtJDH5uarsbX2+RgNnuYkkO3cQnd67duUk3GJccTJLon9X/+NKw/S1XF1XB1Xx88evxQP0uloPw6OHsSz59+L57vfj73992Pv4EG89+GX45t/9rfiz97++/G97//zeO/9r8Xjx+8BBDGq58NYgRDVewzcPQBPG2LAgB+uC8Awnl+494skxqxFvpYwrsa61zEIECbIiaE97cZ2dBqGtDDgnx8ABgwFczF2BbCGIZidJsA39EYvASYl5hfTGCwxxnxnlqyckQRgLZfua1H4QXJTVgx+1fh/w8cAIs48VmvG3HczU1OZa2sApZsbt6Jb3YhVgPsUQPy9B/8g/sW3/7N48PT7gMNmNFfvAXpX02tVGLgiOYWz9MWpoXPmtvA+uGGlxtywiREEaIKBn/NqJr752aVXQIKEcU7gKkgWxAr2uJd/AwgeHH0Q+yfPY7V3E6MNwUR+lUqRLU8Aqiz8reA3Q6O8dwJHw34AmJR3Dggyq5OgWKQnWdTDVq2uJrDFGhdgFtD0UyToxeGzLo8E5nkWf0s0PvmJL8Y3v/PlNO5CtZ+oJEZ/dSN+dP+bvBeYey936V8DNH/IZ5b/548CxP/06fOcleW/BJcCz8tMdoUc9djMqKeb41L/JJGFXAtPFO2SROpy/ZJtQFsAdl+++Va8++Dt2Bu8HdPJAQDc9qV9uFYCNc+QuFkMFqdx/8H34/Ov/DZknHsC+8xKJUDbPXoWX/6jvxm/+St/Gf1DR/lthstRbsGXZZrxvMFkFKeTcYxGepLQi9GIsqgTECYX/LsOyXMGoaVtrJekyr11XNNU7PkjibDOL/ROkaOLn33rd+I7P/wTdIzrbAnL6HWSR2etuZdyQIopC9eL7B5/J7Z7b9pwKSvXUfk7Z9zbTQgssrNdJQuuyxDIziBQ5RcKIGdT/pIZZ8YHEKejwbM4He5TH9MWzwCczRhDBo/6z6N/8iz6ENLx6Ij7jJCLa7KQFf/MsJeeTME7+lgQLJ9Df84XKTngkVf1rvjOzwXqZzkDb4Ci4D/LRb+O6KFl7eidvRVx+FIc789iUvkoatefRaML/2E8OFo+4XcX8bT/kHGC/kUfUaTuRZTrppCZ+4rpXXMyQjm5R9t5GRnzbOViinxTbRcEt8LzKQCn4L+YwKhlCvUWZ65J8hoK6T0N3eoz/pp+3fBFQy8//9bvJdF2zLD+jl0SsU6nC2k6QA7pukEO9Ad+L9nt0KdPp0/jePokFqUJfRv9lai6Lonf5gRTylYizD35Lsk3f0M/Ae/HjFNHjOszeQPvj2Mwvx8Hg+/E4fjdmF4cRKtbhCzT4jy+eL56Ksi3rzSb1YCD5fi/4t5FPM/npNcPOY1nU34L2VhZxObOq9Fp381yqaMnx/3Y3rrBmKy3B3LTbEAsDEEsxnE9joZlT2YniGSO/GwPyBWEz3EuveYLdADyG8taDPafxGT4fmxtM+5TBtfFWXe9s3qEHW9zfIBgVOpV/h5Gq72BPAxpdgP0ywkXKBp9xYQKVSd1INPvfvjd6A/3otNE3y4m2R/MjDmaLjJxT5XyLrBdJffSqq5jn+qxiqwr2EL3Olrt9SCtyo5xCPt1Y/NGDI7PYzBYZFhnq32dPjSJ08FBvHTzNylbnTqqZzb7KeMWfRv5L2moRaYNvzqujqvj6rg6fva4RKO/0PHuD/9rzr8T99/7Z/Hk4TdiMj7kxhgH/pnWt944j3rrPI1fs3selQZQpFqA+FykOpecQAqc0YW8nF8YmqERE5iZntZZ1VWAB1bBdTVlZ7rrUQeQGNLSa25Eqy5gNiX3MUZsmAZqMHJd0wyDBnh0AXiGHHFPARmg0NTcI0OsIAaYyyRHGd6W5Shm0SsJ/s/TaAl+3GTWkIkyRmeteTN+9c1/O26uAaAuALCz/fjWu38nvvHOP4i9U0BLZyfW11/WKlFHN1c9wqDtA5if8fc+RvMAIHUMEDyO8fQA493nMwDu9DQ9BGazyz1txv0E2jnLCaBeSmIop+hWICjIyRl/Xi8AikCBuNG7E6sY25PhI4zjEjBxg2sEO27QKyjUMNr8noJGYBPAf7EY8hy9VAJQX03JO0tQ43qBJgSxXnHh+WoCW9Fnkh7+XR6XxOT//5GIlRKc57o0s1qZbKC4R/E779kEhfZHT6mzySAEuOgQIOPw1Ox3xfM+/pyPv9frAfxQ9N4sAUGWS6AEqPJ+fleQAfWPGqIbJgkwNK0grC8IVH4nYYSMJCjnBHzqjWhU2gCyVjw6/VOIyX7eI0kLp2Qh1z0BCr//4Kvx5p03AUToKbpi+JbyNeHC6fg0/vib/yxODx/G1uq1mPOPX1Juykb51Ef3CTK73Ww6i37/BLBo6N0sTiRE6MhwPIrBcIAOqSPFqc6r+xKaoi5FgoMkf0XNOQu5uanrqy99Pr75zj8twBP1KLLGoRfWO0+9lRKvszgcfZB/S7izjwIYZ+gyeBB5NFO+S2Ql2ZCwu2jfPZpMNMHdAa7oExfnZseWBMDqZMZR/0mcjuwPXAtBqgt2W604gByNpn368yH1clNovUnUjbKoN5ekyHVqRcgn/wTYtDVvsk58RB8R5PNdiTK8SFZwBnisl03EgowoD/QPoazyvfsYKR/XgkH64m7U+i9H/1kppit7ceNmO9qrp+kdmwG6DQ9TqXymXpr5xD2rxlk3SUPKgX5qWZwsARnzW4mO5MgJjAqA3YQqvPK5a8AkQ5WqgN+U0K7/cW2QdVP/GaPKF7F/+ChubN/JeulJb9dW45P3fg1Z+FzqQj29V6u+hjzbcTQ8ogWURymGs2ex13+fe28g53XqdRqnc8ZQfiN59vmIDNHZd5A1ZOQcXTi3HRlDC89kQKyPIX4HlCd4Ro++uxluoDpePInh5EP6w3PGDu7F9f5GwM6tkJdtYfuVIAeMrU0noiCS52Pkuc4zCpJhGKx9fgG4V2/6g8O4dp3+hDyGo2GYet6953J9J+VsNPVqS1YhDRX1j2dYEQ/7Ffe1Dxh+7Hg4m3FvyM/ahpozj4PdUdx/5yQOD9+FyGib1CFJkX3D8YKicyvXG7W6G9wfOXPfSo0yS/wYZ2zvi3Ptkn34nDIjd344Xg5iD9I4j/cYp0bcu5ybZ2fyIEOhm5tZR8O9a9VVSGc/2tjKjinKzbyI3fOePsf+/PzpfhIiisRneiRfZpy8Bhl+iv7ZX9W9izg9PYrj/gNkOYbcIg/04+q4Oq6Oq+Pq+POPFxbjFztadQ3SeTTb1WhwukBXo1cDRBtCUK1iiBjwzXClVdEErQTGixF9AcZeuundApgkiOFwRnFxNkpAaqyECQRMdTrXibGsRRmjI1yWClQwermPBkDKHedXIFjLxQmGwpn+SgwAKYPxGCN9EqOJKZD7PM8sd2aMcnGrM/3rAFZIEQBpxfU4EAxLYsiQhqgEmMssTRpT//Hlzvpb8bnX/73Y7n0yBtNncTD6KL730Zfj3cffxAAClno3IYRmKIPsjB5zHsVsAkGauymgGela4jaeo+dGz5KEUPDmygVkkkC28HII4AXl8xmgcT7I1zlk6mwx4Loi8FzgVOWeri8yU9rL934ls2HNF33A8lHKvdUE9PFMUwabuSkBGQBIAFgsai+8DiaCELwvkNFicZoAOTfL5V8NgmUond67Gd8bIihUywf4f9rw4+fPHpfgrgB4kpSL+PQbX4pvf++rhTa++ImfGy42nB7nBpi2g1+2m+tx0H+W7y/v/rPP8daD4WlmR/sxGUS2xS8SLVBvwScndbEc/vM+Xp/rkl6A7yRKAMGiHYozwxRBd0kWON+481nk0wcMSnyRHUQzw+EgK5L43cFHYCf0iHaZIWf3BZtB+gZcO4QMj9FL16J1umtJthSoe/r4HMuurAR0ki9Jss+YjyEskDmzZHnP3EcIHZ5AoA3dm/F8/3am3DULuT4JIpXre7iP9cm6AdhcmK5X8+61NwGVnfju+38IUXASAWLshAGA034zycX+kGYI0cPDr0evcxP9mPA5hGUxjhE6YxIQQaOhgFQYeIqMAOnWYTg+KWRqRkjbIdf9eLp4vFh3NBgdIpND5GeGuwV9upGZ2PqjvRifSQYPeJYpwSkHMuQR3LsgR4VeIbIXR67Ny79tQ2XJZ5ASiYlf6FkSmC9483j4VfoPREg9AYRenBlSVQtTTDtJUuH63AuK/tlauRalk9tx8rhN/Xn2tY+i2Q0AbIcnNOjf6pRwvkw56ce0d+oe+q1ONyH5ma2w5JodvQ9cy/jYoq65noa+nCQ+SVIVoOxaSDeQNcTNkEnvzm9oN8et4+GD2Ll2G8IKUbWcEION7nZ0IQvHw2fpiSuITCnWuqspbyeovMcIMrQAQTO6Ra91Lft0pVaO/nQ/powHBek0RKwYI+aMVU6iTKZHuZbM5BfK1GQrSU55hl4h712BIOlxPZdAowcMO0mCMvEBv8m2Yiw0IsDQ5ioEsNWkD0CusrTIwH5b1jPHJ45Vc20GXGQyf047Ovm2Ffsng/ROea1Erov+2We1OY7VEqPFwtC4Jc9AJ3MtlpNgRf9yiJjNGG/Qg+56lbqMYjye0i/P46OPJnF4cpREtNFqQ+A6Ua0bSkv/NKMd9Z4xRpWqeoim3MPwyB7PrqPPEEjkZz/Ti1eGdEoKO129VsMsg57SixdRE/PZCWP1SfTWbsXG9uvR6fToe8uiX9O23QZ6SH9Xd9WXouwXcXQKyWowbnOtYZRHR88y+18JvXv7nX+Mfo+RoWSKek7Lcf36K5QRIo60bIKr4+q4Oq6Oq+Pnj18KQSrVMTTOyFYEtbryDc1w8WwbQN1Ng+1iYoF5rvFwds1pLUCSxlrwVwA1hmsAXc4sYwRcgNrpbHKdeyph4DBgem6cnTUlrxs1SjA0Xoa9mU4XbJGGT2DvzLbek+l8kaFHgrwpIM8MbDOAwWS6hzF0/cEqZbzGd0PuB5ijjBI41xYIml3YT8EwthAFDODrN38nPvPyv4Yh3oKEHMb9p9/h9SSO+vsZctFb3cTIt7NewnIJnIBAI2WCg27zLsBvC2PnWgs/x3hyuvjaGfnLzE65DojnOuvqrvRUOAlJGkaM5rmhIRhUSdec+swgTKbtbjd7MS8dAiIgZBrhs35+1+tsRb1qhqxWylNykGuuuP9FAoYFxnjGc/UM6b3TU2KsuiGO57lOolYROLouvEadXYhtkoziSFnZoC/eX77+7Hl5FCTpIl66+4l49vxxttFPH1xbnsT9J19/UcaIZmMNUHFE6S3jzz/Pw7fu7P9070GSPlGSi++9Is/8XXFdreaMtTO3ArYXJAn9kUhYnrME8BAI5C4Zcm+jzOK2lOhAIDgFTqudN/juAPmbUEEAj8zVt9Ii3n/w7ei1e3FseBhgygQK7ocygLSbjWsGGPsP/+3/TTRba3Fw+ohyQDoB6/oyXEORbY4+SM4EXfYd906Z8Ds3Ym22mrTTWZ6TMcQfYmE/sn85w6ynxTC7H5MrwTmfC74y7O7Fq+tXvvTJ343nB4/jwePv8swi/MhQNtf+jEeGq3KfxUGcAsq3ei/nJMP8fBynk6cJ0DvNrXxWEh/+zdEhAV0mnIDQ5Nof6ufePLZh6p21BHwbNieJGo6fR3/oHmOn6JrjSQWZHiWgHOk5OgPAonuOE+nhoG+kVyjbz57q/2hzdMZJl+zT+bdnakj+xi6VnovaRoyoQ7lu0hF+zTXnZw1kQl8EUDt+FaRFT62gXdJQjsYKQH5yIx4+24eMn0aldRjlHoQA8qE400GVIUySVPoWbeiw4iSI3tHT2V7h4ckyl/P7suvPKobVMWZU9PhWo1PvZHa8uuNEPl8awgtlnwK0Z2eD2Fi9mQTWrHdQCR5iOGwznhz8KI5GT0NtSsLImHZtcztDGd3cd5gJMxxz6pBz91NrcOWY9/U4GDyPOUTDNNNOGkj6JcRmzZzTNsPRLjpcePbKK/x2xfT/ru9CTxaQfu4vQZktGBcdQ6jrOSVpQ8RarRvRaG9Txw1q0ub5Zl00o54EuwfZgGCg9xXqbguuoPPXSl3EV0NXIDzo6t7RDyFIDco0T+9Lrsujv6w1mlGxz6pfjKUVfqcnp1iL6oRQ4QHKsDr6ikk3bIN6w+QGa+i5ZL2Y0Dtb1NHHOkTwlEsOKR9jNLYmlYTf0ATUkXGSfjFHRx2HnXzQe9aounbVbS8gbIsl9zXxiioh8a7GdDRNnXLNGsMTz2eMQQ9n2CsnGYxysPx6yUbYs1oVGptx6BJRnlsy7BfCN6WuS4ime3bZq8ZP4nT/RzHY242YNyBLWhG+hyjubL3KOI4cXS+mkqqeV8fVcXVcHVfHzx2/FILEmFygAYxGqwEAd38fBt6c+azuRENjYXY4SEh5BYPHdYKYzNDGzwrwm1AoB37BR6d5I1a7d9M4LDAaho4IDPKX3LuYXDdBg6l6AcEYEuPzTY3rRnnOfJ+dHUPGXsSXY+Rz4TYEwtlqwa4gypn7JwdvR7v3EiCmm4Zu6cnzTC8rgHPW1FC4RrUXX3jtr8drN383Z5SPh4/imz/8b2L35N00XCYtWF+9BvgpvEMZIlNtRK2xzqlRMv3tTsaiF2t9BN9FvYu6YciSHNksEELAfYUyajxTXlaa3yhcgZr1FSRJdlLg3Gu5OAcsXY/+7LuAdFPPmvZ4Aqk4jv7gONY3XwI4rXKtM8iG0AhMOhh6Z10NeSxC+LxfEVZmuJmetTK/M8V6M8sMZcOQu//IKB/tURAPSkOjXr7+ee8/fvpbQcurL30qvv/ONxOw/vg7jnLtIt796F9QLtqfz3y+STkENh+/z0+femtKAI5O3H/0A357pmTzRJx8X5Q119Twqs5Ikny2YNxeIZAzhCwzxOmRQWf0kqT3glfP0WwYA2R8PN6LEvrahzhImCVGIz6fVefxvQ//NO5eeylOAKnH4/vozEcArsNcg9A/3eXcjzde+VT8xhd/J/7hP/m/RH/kGhHqAKh3nx69OGi50kU3OHlnf7ESiBPQVEc3i1A2gZaplvN7vpSsTafDgtxMTiFlgto+elFkypM85ObEgE1DgHxu9aIZv/qZ/1F883v/OA4HhkZJCk0r7nq9Y/RoGPun36Fvm4q+g26qqxGD8bPC+4XuSiZtUxMj2D8F+q7bkHAbhpRhcfxMz9a54U6WgbJOKJ9hW2azM7HIQA8Fuihwdh8zN8T01TWPenvrdRftG5pmv1EySonGtb8Ugkocm6Qf2eTeYQBoPVcqgoTBgqTXdbkao/golhWJDOUBhF+coxOoAwVgHKqE633MHFcFaMpT1JJ6eT0aF5Df/UXMBl3k8DxqayfRWFW3UKWlafL1zAp2JUr8ii/qVeXXitPpY3koKscNecYYYm7o8YrZzADEJq7otlZ55XoIj9n4rK/kdu/gaXz4HCKLDqif/Sm6R18fA6bPqZvewGazm/J0nYvJPqQNEgeqF/tHj6jnIJrVVfpLsd7JdN2nyL3b6mXGwMPhU8ropth69F+QbYiI66hm85NMTe9avAvqCcRPr0qOnYzZ08UhsnTSZcLfriuFGL+YbNJL1Ghe52Q8rBbtmPJCvg6BhsyB4WlCyag/OYs6jdmU5CGr5bySuj2EDNy6uZNlVwZOhPjPNjJb5Tljhd6cy+QMrsNczOkjkBTHI7N7um6o0axFu7kWNdpkOZvyjCI6YXnh2G+I61nMkEucF4khXDPGCJ36RXOkvjt0GJLqOiMz9rmOttWq5zh0zmel0gYlX4l2exO9rsVg4Pqjc8rWQVaG7qK/EB2TZlycG3rn+M6JXKauCeVsrPSwqWupTzkG0pB+b6a/az3IJoTo6Ihx4vxmbHY+F9c2Xo5WZRWChn1cqUWvsxbTyW56nyVV/PTquDqujqvj6vhzjgLd/KIHxteYeTOhCTb0dphZp5qhb5sYugY2v8YAbTak9TQwDszuC3Nn67Ox2noJoyJIaVKgFuToZUjGdUyJCRkA/WFYDwAVAzgyZGzmDLhGWLDFzyQOGKqys5C81jBU2EJwECASI+mMfO61xHWGtrgQ3TS8FxcaOveCGcST59+Kneu/i9FwNg5SAQBYLjHwGKrF2VGsda7FFz/x78bW6htp8B9Dqv7ku38j3n/4FUBTEfbiOotqo8eD3ZBREiOOLUKr3IOlUQMQ1K8lyHODWQ83dvXHBXngJoY+8EPBvGDRGUF31DcjYAA6/K6YARVsWG1lKX0xo5VApwFJu0EdH+QaEj1Bi9kpBnE/wdDp6WE02zs5MytxUAVc45WpwDm9o4BOL5KvBUmSTEKQADJ8nYeA0dlaw8n8SKLhYdkK4ieZE/zqGbSs1k+S5HcfN8vUkM8/89aX4ns//HaCEWqbnxWyq8Wzk+/GCUTC+wnk5jPX+dBG3KcgRPzCe794bpIxAOSNrZvx4PG7AG1j/w13UaYvyGQ+owAZh6Mn6f2s6eFUgZQ3Wid5kCSdQGZMIGCyAEPY3M/E9WKGwxi2aRKLKW06W5nG/ugRALWfi/Af7f8o1puN6ACAzqIfw+XTOJo8oS7P42QACejvxXw0ir/2e38tPnz/m/Gdd7/Kc/XIFOE3lo9SxFKPS86+u+ZDkidZKqHn7Qw5PKfM9XYTAmt67VoSJcP4XMs2GB9neOnp+AAy9iwGw4P01Oghm88Af67Lo03OzniOcoPUdAGvn37z9+MPvv43qO8JMpjEFKBpvSbng3iw/9VY676aZTQMSj0NPZGQI/cR0hsnEF9wb9vMjW5nU/oRZfJzEd0LNeL36F8iYJff05a0k3vLDMb7kMpdyn6cY4sJCZwcGAO65xfDTDPtfjtFaF1xL9v20sOaxAmdVd+cGElZOmlCmXN9F/cSalt2Pdft+u04nT+N84bp7LnWOrkvWI2rDN1Nd1PhzTLLnCA9vU+u6Zu3c1KmQt9tx8sxOjqL8fJxVDbHUWmhSei0ZND+7aSJemUK53ZtJ/vP7OKY+9PnYUot2nCKDCVNrqFptdrR664Bsk35rQeXfgprq9Sqce3aXfr5MFq01wg92j14GAf9h/H2gy/H+0+/me1fpay99irPgcggWzPPScIbyKdWd/ykDVfajIG22TkEgTGY5x6Pn2bI3/sffT+eHX8IGRqHGSX7k0EcQfDHEGWTx5ggQQ+jSQgMlS6IB/SeMXS6PGKsOyh0IdeWGkrMWDTfo/7H6Q2SYEv8i6Po80YKpJ4j8gv0kf+h/xEn6GKuTX3hWT9blFO3290Gtgb94196ZH7cx2dch46fHUerWXjtJJZu9irRVEfSe1/uZF9yssj+bxnqLeoCebGdHRem43kMB/Y7iFodXaV9ikiHLDifFRsE2wdWlj3s3M04h7RETHguNWVs7XVa8crL95BBKYb9OfKkb4RymdGe6ChXd1Y3Kb9RARInEzaga/Zpbj5Dj637eLRHGSuQRCdBnORAcqh0f4Bsqd/2zsuxc+21+Oyn/4dxa+fTUV3ZoV9Uo9+fxbv3vxqnA4gx1y8hZLbV1XF1XB1Xx9Xx88cvhSA5KJsRpwwJKJW7GF+zOUkaNC6QJshPrdzEILmQFqJQN/RAsF2OveNH0QKwr/Vexdg0o914LerVW5g31+IIfjV7GF0MzXD+PPYGD6I/P4YoGWrjgt0W9+ryXImC6VElaCXuAWisr0Sr047t7dvR7axTHjPbTTk1mhIg11hQjJUmoORJTAAUrfXPp7XJWUH+YYXi3vZvx6+98T+PXuMmQGMU7330B/HVt//LODh6H+NXj9UOz8dwOpNPkbI8ZnqrV7ao7zoyWOXvzdjsvQ6gXcWwCxzFWyabcEE7T0qgZ2iiAAjwZe0FcRhpZ3+LPXwAn4DkTBwh4KL81jm9SUm0eK0g55qgVMMnoFrj93ym/Kn/bGyWP2f4e0l+JEESBwGkz9QjkesfBC7cNz0LWVYTZSBjiQ6noT+8SS/SJZkpyIrXcybY5uSfoMTEBSbOELAW5O4FkfHk+yZgd3P9Wrxz/9v8zQM1+nwnADkDWD09eC/bKqkjMspwyLxHca98z33y9BnUR1L+2r3PxDe+/y+zbaSR/BiwZTmVL+AClCDIf/fgqzlzHwDd/Jf1ENhKxPUk7cdo5nqNYr1YpoZHdoLtgmjW+NVKHE4exaQ0i9OLo3AjS9PTuz7D2WVD0foAz9Pxc8DWIYTlIF5/6bW4ce16/Nf/5G/G5MIwHgvmf5TFdkcRM9QO/fIzyypIFxA26qZHF9hRswo633TGOXISoD88ytCnU8DwMWTMtSgSDpNu6BUcQZwmgEs9QoVH1baRhPE89Or29dcyK9e33vv76JKeIInUJI5HH6R3p1Vfp956fGbIgn6H3A6OnzMWQDBog/HUfZlO+LyWyRkktMoUxc36qRPp+RGQlqhbiTbk1dBF207ge5SLzIt1gxIpw/lyPyD3P2ttpK6m54j/bMsEv7yquxk+iqwkuhPkIZh3kuUMgK1Hbn42zFfLjubSV3cgdHKiXeSpR6OCtuhB4l7oRYbkAVZ5k2SmXPFvTso/mSwgMi/WmnC35srNqCzuxKhvCNWS01A/6p465y3MbjjPBB3d1g0I+DOIFC0P4HaCqNteS11bqZUyVLTT3aCtWxDCJuNIm7HNMc/+Xo2j4+PYWb8X9258Ku7aZrUe5LFHvxxC+peZ9GI4PUmP5dHgvdxIdjJ3/aIDFX1f8oeO2i7q1zmyc4w6nu7H7vgR4/P78eTJD+Okf5iTK5brOfq7N9zNcbTYpNcQPL01NoUhYHWrin5I9E8hR3qZ1ZMJfdgEIhAtdGjq+kZ+JHFW99QlJ6dygop209OX4X/oicSHHhe5b92ZulS083xhP12JjY2N6HQ6GcrtpIKJSxwnHUhKRjdQv3qlm+MtwwrPOOP3lJ3nV2odbMUq7VpBL86ju7oV3bVN2p72rUIk+d5xYjqD+I4NH12gexIrvc6QVV7V80tzWqNcK4tqzEbo9tw96ebYNWQ7ncYafepiWaONW9HrNZAHZeDejt+SKPsRnDO6PTeaHaQ9WMGWOnmhTZwvab/Fbsr5/My1YdRf/XUMQK9ee+kL8enXPhfr3FuidXz8jGdeT8+eExCIJ8dvf1M2hHCeRb46ro6r4+q4On7mKEb0X/CQFCSmBcwLWJzlFEALUnLfohUzfUEUMokA50oPY3UjmtXbcc6g/mTvRwCqk9hY/VxUq1vcy7UJggoBOUXkvuPZfvQnz2IM8BwtR0KbuOAZKyutqK5AykoYR+BJxldjUAQT62u34t69z0ejuYlBnAEaACXzBc+aFZ6AxTGfG/qhwavE870/ivbqJ6JSv41BAjjz/M+9/B/Hl17/nyXxclb7W+/8V/GNd/6fAI0n0WjVY21NjxjGD9BsWInerFq1F63GNcrgDGAXEFsQwI21t1IOa61rEIINytnme2cvC8/bJVFyQl3/jJBbqmSChCpG15xMJQCdgYgZksJ3EoJqrMZm+y0+dw2THrEjrqjyLDNfbXJuUAY3hm1B6JpxdLQbbUCYzS8sctPJ3McIPCHoM8mGAEdEJz31uPy/618uvRfO3ud6IEBLQY6cJec1QZOvtFG+h95ORnldeioAJwVJ4vQ9MvPzL33uL8SXv/7PqDnXmUENo+4MfbuxGR89+z56hjXnXoYDDqcHCW4KkiXpekG8OPkgny3of+nGG3HcP45HB+8XJAkwVXwHSuKQILZMXQ4Qenrybq7REPgkYAT4me5cGbnGIcNaeJYg1zPlA3EBpsQKYKUhmENXo7qIfYh/tw1IQe+mrsXwOgCJe8YcT56G60YE6b/62V+NP/zKP4xvv/+VOAewItqsg8+UmHLD/MwGcINRgWLVxfwAshZt6Qakga5KQCSzhgMOJ31A92Ecneymh2vgflKmzaYuhr05+683QE+m+zSZGVHSlISZe2WZp5P49Ou/H48PfxBPD9+xGBC7vXhy/FX0yYX+hrudpLfrojRNMqi/sz8/ypAs9w6K2jQBrdnpBLVOOhSk3yZCdhIkPUNl2tr0zyvKmvcCbvr46eh5HI2eUZ8ipO50cpCeo43V2+k9yhvaCjTGJdn2KELu0G2eo8co14tBcs8A6LPFIIneNCBe5xBeyLfr1JxEaJVvAz4fR9kwXb3CtKyyl9xKcjKMis9tgySq6L+kbozsM002hCE3bKYDu09Su3wjzuddiFDRezJJDdqt8tRqVWRMuaaG+tXj+fEHSbzsUyZqWFu9mYS23Khl2KTtnWPq5Ul/Ne3zcjqOrd7N1GlTzNco7GqTMaVWgTCsRrPVi2ZzDV3cQY57MZ7vQfafx/7hffTgADkWiQCKtZfUk6I6mWXmt9Px4xwbHu59GO8/+lb0IWODwX4Mac/T2QlyQzcZmzyKtXlOElG9FQE9hBWdWhoOu+zz/RFXQXyo/mLuODJHN3cpt3tgKRcnGSDX4T5XjAewVfumn/utJeyjsxPGieyDyPE8PeRGDbj1QiPWIEmudTsaHNN3lox5Hb7XS6inpUicol64J9IMcpb35vmOmbXmOrLapqyUjW8kPfUa4yx6Z1Y9s3+2Gmthxk3XJVXLXfqB20s4QdHkPgjOsUUPEnJ0PNMLaHtLrtSd9fUN2tFECW4cPaGNLyC8PYgOBpR+UqL/u3a2Vb8JuVW2MPZADvTbSsUxeg0dVtauqTO9uZ7SYiJw+xr2dK0ch8NHcXDyiPb6XnzrB1+J3SPGgz5kETvchKTV644rK7SBdTRZUNF+V8fVcXVcHVfHTx8FwvgFD0mRoEdAYTiZxlpIIGA1PCs3NIQcCR6K2d0axqSGMV+NbuNGko8KoMa1EZWVDQz0Jt87I1yE5JgxaTZxTw9MV2INLQ8EATBrIgVn3urRjHZlHeKFwVqBMKy+Ea+/+vu5qan3GQDuXDwukdOIjwAm7qsxy93jB9wHQgKge/z4G7F+7fd5fyu++In/BQD7d9LA7gJg/ujP/q/x9nv/MBfXu19Fvbkto8AumqUIsgK4zDJTf36SRrNWg7zVtjDW1zHsmt4ShmorNtbfjNXeS9GoX4cAvIShvIaxEphhjA15o5x1jGAdmRkmU+e7RhJPPXN8iZyrEjAIUADuTPNdxmA3WzuA8SGcsol8N6JdXy0IAMRMIyvw06i6R4Ybd9oWDbMNQp5sQ+XuovQqAMsF+oKInGlNiAIo4XtnTRsmxeA3Y2RReHGoM995ZuUlICJ82/HM2VdTsAtinSEFhOcpCYLqoicCos21a3GxOI+PnrwHqACIzKfUvZVeuOOTh5CsowxXchH3KWRVklMQo4IcGe4jYfTvxdwMhYBxzt/43F+ML3/7nwPsTAEPCaEcztZTGq4xo9w0rnVej5PpkziePafOAmJnhwE8vDc8ylAow+1czzODbJiO3WxXAuz5hWvWeP75LFq9OgANclRv0Y48qUQ9Vi5TIkMKyucxNJU6v1vfXI0NAP8/+JO/EyVIlcGkhhBRuqJOyCpJoBMPZfSqNARE0R6UqwZAlhxJ3CR+YwiomfcMP3Wt2dHJYWbyc83ICiBeAm9WrynAdjQ7TNKWa+sAsabU1sPnM82oKKCbuyidOn3m1X8l3v7gH3L/g7z+YPAuffYu8hgC1CQdc4D8M9qpEev0h1NI2aEb4k6f0U0vMhmF4Vl6GZzoSE+KUkU2uQZIgpRrgiC+KL14TYJkun0TqpwMD2K6hMRBbMaLk+h2tqLX2ck2KrxehccwvVPc13saWscNqYf1FgTbL22/gpRC2dKrcQYhU0eSENMv1+qfQG8oh84A7uGGqYYzGt6ohy6JDwQmSaqEhdOZfTOCbTeRSexRdkAtYxw4OXXMTa4F105mOE7qjSpCClfSK5RjXqlHm0FeqJ9ld2KpSV+9ufNSPNh9NxfjKzdlkt4W9NHrOpTtpfWbsdG6zd+UhbvaPyl5yvuC9lQmemS7gP8uY5B9s9tA71Y3edsvxhP+pWdR7yjSmUMqXQNl3zeRxka7G99552vx8PS7sTf8PjqkF4P+zBikNzfXjsKsZosxZ5HcRJ1Uj02+cY6eqEuXEygZxmxoGMR8hj6aut6xfcnzl4zFizOTnRygGob7mqVTnbiIGfdY8MoDi/ZONXI91kUMx6cpex05c3Wd/jFnoHe8sQ8b0qj+Kpci/FLiZJleeNCtBe2hNy1Djl0DBYmlKXIsksi7jsqxcgVStrJiMok1dMEJLrODFjqnp90U6CtcW66eMN5M0BXXM9FvK8e08QPGiFKsr7UZ18wmOuZ7SdUcW+GEh+tVqS9y19vm3mJOCJmIYjajX5w1ObU1k+hmaCHlrjpynMc49z56GvuDJ/SlBsR8Fg8fvBcN6ipBMqpgOrOtocOQVLfXuEr1fXVcHVfH1fHnH78UgpSGAZBRhEMYY49BwYgZCy64NAwOEwGQMBRBYN0BtHcgRoABrqtXAfPVHd6Xoj98BGkp53qdM4Hk9Cmvkywpt85nOWvrfOMEwKCHQpspYGjynDZkYbt3O+7c+ZVotrewjADl4W4sptMEYCZXEJP5m9nsHIMx5+xjyI4gJRiO2fdjNJrGZ9/6X8atrS/kzPf7T78a//Tr/2m88+Gfxnh+Sj31ohgWAvjlNxeU23IVIWUCZUAJIEOjb5a4GuSkBOA5w8hVsbjW15nb1fYdiMsmxrwZjeZW1BuGATqDzP2Qi+9NCS6cAlcVHiE9N3xi6Fat3MPYGxrSjjEgRBDXbgF8AlBxDjGrI+tGl8+2o93UY6UHohJrnbUkHxmulj6qFcrRRf4CP64xvBHy4X5U7tNh6IvesXND/KhjPp8yN2urcTo7yBCsS4IkapEgWvcEMchiNjvld8pLUKt8CmI0nwAAKIcpszMrH+TnC5/79fgnX/67Kb8ZQCP1CvrrZsH7R/f5bAH56Mbp8GESIsG8a1zmEDDf6wVx7yjJnamrBck3Nm7HNYDk1374lcjMc5RTwpcn+plAG5C10301nvV/BGguMq9VAZ2SWsOHzgzNHA9zUbqhUcuZm2OOYrTYh/D0EwgKlucXA67Zp8xWXXLDm4SuPhP5OGtbAy5Xz+JLn/7V+OaPvhIHi2f5mSQ70G2vL7w5yAUAk8BYn2ltEqU6uocCL6izIFA47HvTBY8hI4LTwegEAKR3wv29eJadLEmuQUrzOB09jcl8Lz0BpmxW/80MZx0Mt5vS1ou5ad5P0NGbsbl6O9756F9wzcOYjwVyPco2pryt6I8hBRmidwbJF8hNMpzPtUImdjBjpB7CXNvB0y9JdBKZFyRUAl5FYHrfaEnkj17MIHtJ+o6KkDDIjeOL4UJNyHnR1kWijkL3OCWg3M/nZdsqP957LCBZpiPXSyURMGwzwTIkU5DtpEu1skWfukFTmdaePmDvQAcWEFz7ovd2AoM/eC9hqsYp92yCyu03UIQYx7PsY7mej/umx4J7mAGSxufZlHtlGBc1xkhkstreyckBkykcnD7I9nG9iSNJBzD+8s1PxNs/+nJM6Iczk23QXuq0CSOO+89ia+02Y+lqAOcpt2GIhd7MaTszlV1wPz103DLJpRNOpXKTPqBurGRShnazo/MjvXbq8+zsmPGpye/Oow/RdV3SvTvbsT/+4ziZfMR16AyEM9eUUb8L6ksvgoBM6RMm0ThAB58he91J/MepHCQPtjPFyrEgMzHavvQfMzC6jYNtajIPx5vF+TG/dRyVYBQTUHnPF+OWcnbsUVccF4wK0NNYadTTU+rG2uq/zdturXNvxyXbEQZC+0gUTMTh3lze3/Iow5IsS+8gV2sjfL5903HMNnAfPtcrOQnl2HQhOXKdbWZSNekDpKt8ZAWpB/fk+ZUGcqLdy+Uu44lr+Sb0J4n7IurNQrcMpet0u9Fpo3vUW2KvR+mcci8hZUenxaSQk1o5JtMG2lknyyR8tkESQcaAen2bMWsRq6u0NzruOrT5/CImA+tJkaicHJjHXx1Xx9VxdVwdf84hMviFjzoGowMJaFZbGEDTqAp4i3Ao4ww0NJkpqL4DsF7DcAPa28U6AjdAbDTbXMMAj2EXTExGDwHDj6PT+CT3wRj5jCqAldIa0uS+HjOMi3uACILcD8SJMGdeG9zv9s0vRAuiMBkO0vMwmx9EtYrhrAgWC4Op0TayYT5fwbC6nwjA6ewkbgCkVxvlmEzKMQak/uDBH8QfffO/iIdP38XYUT5xT3mMUd7j1GA5Qw04wVIVabLN+iZwk2BgzJBNowqpASnrUXAG2hC2Yk+TYuH1OUa5wjX1qhs5mlGuSC+OQKjXkvoX9Ytz030bamOsehuQIOks1nv5PDMu1TDQLtJfiU6SHkNBlLMeHzfXxZRSjlImDuifHqdh9sj24lee+Whkk+uXSsXml67/yOQWEBULk7v8A9DdHNfwpQSoXJfl5sj3+e88NyiUFGqUXQCvl0fPorPm7rEkWXKGVLL0idtvxePHH2T7LyYzygyAoaFMpf1077sQuyG6thWH/Y/4jeuainMEKTgZPKEtaRs9O8bm2wZUydnh3/jsX4kfvPutzDhnCFnhhbN0wArazWvrpbUk7vujj6IkQURW1QtnhKk/RHo5B4SNRtTnJEZD08ZDRuZPKCdkYqaHBFAOeBRDjwB+CeDRUfVT7rPifmAAMcOXVlfX4vbOS/Gdp9+ItbVq1NutBDJ6HS5Sx5G1AAvAkxgfAif4u6gASsuSCEP2AFXIU8+VM81mIHS9k23TXa1HvdXimWaTA4hJTrIMFQjQII6mT6I/20XHB0mOxoA2F/C7Tsd03BIu5Sj5uXP9czGGGD7Z/QrPMxTUTJH0EYijngC9coawGq63Qvkms+c8T7ImOSomS1wfYfOnhvE/N/90s9bzFUBsCWQsiM9Z8ylg13TikquTmE4PefYzfivorGeYk/qe5DPJbXEWXiQFRVuhywLPy3b1eQVRWuF5Z9S3z7Nce1YQHnUkyQ9ya9duU/8h1wruy5ADPd31nKhwMsYxSk9QhvGB9AeD01htOVFR5bsqwPeAdnJmXnLlja2vY2Ix6JgcgFGBMpxEuXEcjc55dLtbjCXl9HD0J0+yXk5EKLO13k7c2L4b3/vgj2k3PQqjrFMTpvF494dRa2xnvShR/ktPIDqhZ1Q98h5nZ4aX0b7I1Qmr0+lBphh3csVJFjSSsZmxyHBN2sVsb5ZVoj51O4TyQdR6JwhxEf1D7kE/cByW8Os5rELPHEZmy1P06CjLmCnlIR6OI6bYLq0oo26Sj2rDzJGM5xXGGvq259LBmNEpswfy6GLscKyhHpCBJPfomLKxM3mNExJ2DgnHeOykAOWd8Vzq2+w0uZaf08YZ6s3Yl6SVuppww7Hz4sJ1sG301THkRYipYy7jY6YFRx8yEQN1Xe2u57ir7XHCgpGBOtW4L4QIPTFaQBm2O+2ouR6tRL9cFkTOEL5erxYMzdFt32XsfZkxZI7uGDpXgcy00ituVlLHJNUmKTJ10wNmKOb5GUSd8QAtoh4FIcoJNJqqWjsPtw/I9UiK5GIUh7v3Y3utFI0GJWjSL8tOqDi2FyGuZsubTQz11LpeHVfH1XF1XB0/ezje/sJHu7YRrfJOdBuQpJrhBw7SkhdBqnOWGPtqB1Kwhm0rZowzA5Rx493bAJB2zuCtr94pBn/Mw9nZBwCAP4utzb8UrfargKIVrtfcYDqSzMwhSRhDCAmjfRoLZ/A2Nz8RrY6AwzCjD+J0dB8ANsKIYMyTZPlaECXXFggDnFiczM9iZ+ML8Ruf/l/Fp+79Vjx+/p344OmH8ZU/+9txcPwkIYgTi2BertdT5v4czmIPqCcAD1DiDPl8PuJ7gYEzoZAbwJFx3kuAi6Ap1+TwPMNHfLix7qYONqNTLiIuu4hYI8n3gnjrxg80Y/5eoCw5MimAgs7F6EmQeM99BOmSlUpsQEogXXqEkhGeJ9DTyBsG6aax/t59Z3JvGsrq9wIad5Q/h/TV65vIqIW8ASsAPMGHa1T4w1bgufXIvZASBXGKSOTEWceCMLnnzu7xo2xXSp/ATw/TaOJzC2KVoXYQTQmF9/nUa1+If/n1f5zt7Jqg83MXs2/Fk8Pv006n0axvxPHQTFgTQJEgfYocVuLo+Fkc9Z8if4GCIWvKmPfctwMI+dwbvwLQ/AYihHgA/DP8CnkJyq2XWbbW6rdj/+RxmCpZ4A2dhFAiV5TkAmCYJGmsl8iQpAH3Oo5zgFkdEjqCcDTQ61Z9K/czMkNclm8u8JpSFohZCXDFMz/96hfi/b0fgm7mgGQA1GoTvQVoQuSXAVjTe+eidvQ8CTMALMOmIBO1Bvqgp6kEpaDs1rHXa0ZvDVIMKVrbtCzTKDUAmJVCL90rDEWieaBKK9MYLQ6jP4ZQLvr0o2F6RicAXNfn6B0ye90MwK43x3Z56c4X4uR0Fo3KLe4xQG8gxmfHtIGexQp9ai3B/ejsCTpxkvUQqBpaJQhUnyXGao7qKPA0Yx/wj7LRFqUxpXQ9kJ4sCO7Svbvc6BiS5B5I6gJlz81IJTNF66b+5OSAbfnivbrs35kt7txU0GZAdIKkkeGUpvHOpCOQFcch5VjIyD5gEhX1Qs+pkxMml9ErBdmlxE7+pJL7bORp6OVa2/TQtWhBsE2esUAnMoxLMuyEEWOT/dP+YN/3nm0zi82bMZx9GM3uOLY37jKEVOPZ0fdjRpn13uhh81nXt17OVNBmpjP8y7rYRgenu4yNW+gIZbJ5kfEMEJ1jIf1c/TaZgHLSs2SYYoYIAvgNXWvQtx2fFIFBWtmH6W96mht1M46aWnwWx/PvxuHxSQz6rXj05GHM6PNumi3ZcmsDt3OwribomMxNZrJLOSDe6P3ZuWtJjVnUg6Snze0OKtFsMoLxsRMGjsNJSBnvUl4OI4WIea8NYYxA7uquf0tg/FqS4Fhpcp3R+IB+ic7O9azotabttCsSMp6hvAwNNoOc5MjTjJ+GCPpAQ0vdXFkL47jWRq4mbrAdkV6WwXHX57rWT32RSCpr6+baRlo4n2XykBL2oVHbRP9te3X8gGvn2CQzAg4Zs+oxMXcFdTWTnpkDzVRYbBTs+iJ0Fz2srLQyckB74hq0SkWvk6nvizBP17I55mdWT8fdM4j2jJLUjuhTU4iXY1g/VhbIEBFnOGGSP+zyciU6hl1eHVfH1XF1XB0/d/xSCFKxP4/gfY6NBQxiOC8XsxtuVoTCrCRgcaYZO4VBXYl2s5uEaq1zPffucdHuBOA2nj/mVv1ol5/Gw6f/CKNwLzbWfgMD04pmZQMw4l5KhiEtEoRJRAxPWF27A/C/xTPGcXr6YRyPPsRInPI8jKozbQCdRt11QZEza8V7wWYtXr/3F+OLb/0nGBsM1/RZPD/4Suz1f0QZX4lmA9DbwTxDHDJFQnmL6q5ibHoYRmeOAXoYQWrLe+soSBGcp3TSgEuaDAuSHNRLkI6UzyLJi+uLqhhmNyzU0GaCA34unC1CZiAS/JN0OCueRjxnpTHX3MfwD2deXTAsMDFlr5vfCqzdcNJ2SIKHQRVcVCuCvkZsrG/H6cAd8QdekMb+AqO5WAgmXRfWSKNrwoc65NNwIxNGeK+ckQfQTKZPcgY3H/LjUyApqTqPE+7vYnM9Dj7Dethex/0D5N+iDQEfgk9BH3IzXfavffo341s/+FpmYdNbsAS4t2tbcTK8H9PJMfJz4TsEaTaMM0CYejcanqSnbO/oIQBdkL2M4eAE8SDF9PKdx6+89TvpKTkeP8/Z6IIUCajPIYWSEcoGcXLN14f77wJiTOphuFUJkAK55FU4dJnEwDZ1HUej04lnkCp31L84P4SU9mJEudwYdmYY4axIc72ETEh+GrRDt9aK9x5/J1bQzUa1GrXmCiSLtqkDEqvoEGBqkutCfE6xLkmRK9cVdLbSpo2Nu0Snmo1G7Gxvx1pvNVZ767G+uhrd5hpfjdAJieCcV+Gb+mNolXoj0TuAfJxmghQ3Yl2k5w2gKNCFNLmRqIQ0U+OfncRp/ywODve5/iFtUpC/XJwP6Gy2rlHn/TgZP6ZOAGCImjqS+9KgJ7kuD9mpfzkr78bSkjzqGaWCEFo2Ux6b+vgCsmT6fZAdz5JUlsJ9khw/BPnZv9REX1IfqZv9i4ekBwkSvDgzWcWTnKGXYGaZqaP9QoKUC+uzVCmRPNV195/J9NQQSYGqe1rZHhnOqfyd4KE8kis5TLcLQaqjH/SXXvNl5MZvIcKS0vyXEww0FQRRHV+68J7+26jfiNrKm3FwcAKRfRbbO5v033GSJDckdZwsSreMl26+SVtM4/HB9/Oz53sPYzAeJcFwAqAgiMUz7MeSFicq1GXThVPc7Gd6s2qQrSpnhtrxz7Bg9V+CdCkRda7C+Nju9FAVScZOAvlGq0mffso1hgjSGxxjKGuRhn5M/9qHAPTRK72PErdLQmLPkZRQnqpjlc+hZk4CqR8pV5mS5W1mGzn2OHBnKGaefEYZLZ8N76bcenncTkJ9nk3RzfExMjHJjHsfYS+aJhSxrfQiOVZni/B7P6tDGri/YXJ87no9n+n+Ws0MT+5El/7k2r3c54/fOB55r2I7CKT1IkIibZsMhLHGCT4TRLQZF5KQOFHA52XqWa2ex+HRoxgPx7l2yFDNwi4WEyfqlRkGjRRIrzr98+DwQ8YhxkK5mi3EmKV++z4nnrjHOWWx/UsQaz1pEqljxuYZ/ap/PIqq+s74YYIGvXWOddquTibruTqujqvj6rg6fvb4pRCkxfIAMPcgRrOPGIAFYIzEeWAQas2YL9wvx7h1gKuhMnxjfLwGr4EBWzDgPz/+QRyN3geMPcfIuWu+s4YR7aoD/B/H4eEYkvS7mNn1WNEwAW5K51XuiXHBULS7dwCqd7WbgOeD6EOOFotnlAfS9qKazgTrZNFAt+qlWG9XoguQ+9ybfzU+/4l/N+/56PDb8ff/5P8U9x9/PZ7u/nG89dbvRbsNOBAMcJ9yZYdnbPEOY7vUONYwqlIGgWixQHvFV2rqT5THiPIIBp1lxbTx7CbXADAAnlUAQBOD7py4Fk47XGzaaf0BxiuzGMyLnfCTNPEsF35LVBKkcSaJ4dU1IbOJC4MBkIA8DWnOpgvMBFCAyLO5s6TIACPfafSi1+3ECWRlBcH4TGf8E0y4sFzLf25GwGtJTFtVs+KZKa8KoJomWFksduOo/yjv77Oy5PzQZ+l52jt5xCeAL8tuamHuabiWs9aGvWRYogCPMiZp5Deuibi+dSe+/e7XKGc9971xk17XJJkQwPUhZiTLFNAmAECvMs03z+12NmL38JHT9PF0/wc8ThlA0tGTOkDuzXufjY8O7gPmBdt6A5S364kMKZvFfLqIjdadeLD77cy+JrBJT5MthMx7rW7qiRmx9E5cAOSWANDHD96JduzwtGmUzqqQz2uQwCN0cU6bAEAhSUvK6t5AN3s34+GjdwH8xzZoyiZnjn1FN/V0liEQS+41pd/k2goU49U7X4r13jWAs/secW3dmQZ0v9eLirPPnK12A4BXjbV107uvAliPAaEn6Ad1QAddZ+K6DT2aht1MFvs845Bn7GVIXNFPIWbnI0DZIfXs5ySEyS4Mfz08fBYHR3rvkJVJDyBJOUGihMroA9c2KYOeOdcUFd5iGp22kdT82HNUQn8CAgQ5uihJHPW88ipROofYrkC6y35mCKbgskb5hpTPzTXN78i97dYCbP5S3wyPci1bTkbQv0yWIbltN2/S91aSCObMO0RG3XasyLUfvHGvKccmdaFeYkwylC143mweY3TDMEUek/Xxh/5G4NxttTPpQa/egRy1Yqf1MgSEEVDShwxttzx4SXBfoFRkxQe1s3DvKr1y41EjRouD2LpGHz43ycUTADGgFhlaLicSXrrxKXT7I8bJjxiffkA/MgxzQVtBBgHT1lUqYhFzXKBPOcaWGENKyNwF+TXvybhg4giHUVPPu67J97muiutdo6euKDO3aBiPTLxwEu3GWty68Spy5nmQTdt3ekE/4tokqOiBk0WOeZmdUtc8g5Zjm/2nkIR/MW7yB4/kcAJNDx2v6hFtKnFxTz1DOfWdO7ni2iVlmd55nmH6dRPTGLJXYUzyCYvlMc89yBT2+RmEy7VHyriIaKBeyKbwVDsRVZwSP+m7Ia0SO+UobZKUOZGkTBynLpzcqHVyfHY80btrva1HbipLGylbdUivTpl+bMi3SW+86Az9dDxwrMPsRK/Xwr61i76oDlIuJ2zMJOoYrK45EWOYrslDRq6XfeFRzmycPrfSpnz0/ZrtzFhGHWuNCmNDLdwja4YpGoxMdlNF900Lvgy6P2OARaK/Lov9+K6Oq+PquDqujp8+CubwCx4avwWG1sXtDv5OVWFuGHynxlCk8ZkB8tzPxMXbhkyZPKBUXYunBx8Beo4wDIaqHcdg6A7kznBxGyxAzQxRgJC1+n6cHr4X6xu9/L6EMarwvWuUqq1r0ejeAFQBaSZP43j4AeDtKQYUY3RmeIVAzZIaFnYRrUYpXtm+G69ufy5+97P/cXz65d/HYJ/F+0//KP7Rl//TePDkXeznRRwN3+N+T+Lm9b9E3aoA7CLrXr2MdaNcZxeGbOj7qaeBNiOSoFsQJoFpVJsYtjHg4mmcnD6gTGa5Gsf+6Al1RgaVJuAIA5feIAmCM8EaSWRH5d1V30Xd8wsAKcBWo14ttWOjdwNL6BNBDYIIDT/nOYRNgHq+gHgk9ndGEkNK3ZYuwKcsBeCcZxsJMLbX7sYI0jEFHOSeU8iwCBGRAAL0zvVCdQFHNyAHOwkucw8krHESm1hEfwK4dpadshdhRPwOkDCdT2P36AOAJJdf1OLo+CnfBYRsN7oQY8GAbbOYA7gMfQLsmaVOsPdrb/1m/OFX/2kCC2dLhSyGH+6e/AigwceAhGPa5vj0GXo1ALxj+CFQq+7Qj9z7w4M4AfDnrD//Ev7y/c7avVhBdw6zzmPKK+gaAfRNCgAZGQ2jsqhGq9mMj46+xbWCkxlkaRT1FrpWQ96C8DNAJUDeFPLf+8HXonlWj9nQNQuTmAyHcX37XpQALQsJFsCIi7OOQfus1lfj8YGhaO7OL2EpJg3yoL4SoFpdYiHphjTQj+bIdvv6rXBvG8lwpwMRapcBQ80wlbME3raTIJXNbFUrEOh4NOe3gFgAsuTH9j+z3urBBfddmJ77NAbT3dg9fSf6s2cJQmeQo8XskO+H6Psy9p5/FG7yvLm1Gk+ePqG9zU5n+m43clXvXPt1FJ3WNuUWek0T0OoREvglOaIdDKe7oF+65ijK1LsqKaGOkglI0nLZpx9T3hXla38wy6AAvJwA9nh0SHkZUej73tHDNnRMGAyPkDftSFme7H0L0ncUq133VJNQGXI3D9PZ+2PLY7+zT+Vt1FvkoayrK+s5uz6/eJ4kULJmfbgo/2WYsOSBdnIftG6jhT53Yq21Fhu1tUz2MXuxFkkAXZTUvkTJ7eecysa1QheQVMOrLuYb0YpPRmm5DQgv06fegzA9py6QVYhGeqbR0VfvfDLuP/qzeHL0g7i581qcI5v0nPHP8LuCjDjRgcz5jWsY08NtJj50xLHpMiGA46HrkmRUfu44LRngh0XZz/h7WYt2vQc4f06dTmnjeYbeZSQAl5rQoT969KINaBRDYuUHkKBgXHR8PGeclCvZDbgjn/sMG7BoB8dmf+om0ZlYA7mYuc099cJJFBvIayFiK9SDK/M6PWOGmeVzDV2lBmXKPR7vx3DspI8TCBBiiJ0pyZ2kMAQuQ5Vpe/fuc2LIEEh1WI+Okwc8EBuBfaIOkgrbKfs9dbQ/2/9y3EDuysH3hkpLrDI8k3ou5o6FtoueHsdmiRRSKW2krLvdFfTlZrE21N9WnNBq09amf59wOonEmFe3L/M8y0+XMYFHQWSVr4rrXoMtylflOvf9Q/7p+ZxwX6pPW1uHBoSphqwso5NTfieJMyz56rg6ro6r4+r4+eOXQpBKtXWM0CZmwIXGZpyaJPhwRnGuwcFwufmkmcxcX9DsbPJdC/D8Xcb3IYYBw5hhS34v0WBQZ/BvRDu6lW1IUjWaGL7V+ije/xDyAskRcLg2p+OeQr27CSDHsz3I0X3AxUO+pQwCAd4JgrSh2kUXTm+3tuK1a78Zb9771+PG6md49ln88ME/jn/x9f93HJ4cYWwuot3RuJzFBw/+Yayt3YhO+1O5wBZzG3UsjHsOlSlffaUNUcO4AgZc05BpfzHq3eaNjEFf4TtD+MwINji9H8PhEwydhroI2XJmnqphUZGB5MZ1OQC5BFKU15lKF85Pz/vUuwwgmcd+/zGfm1lLoCPI4/cAiAXk1EXE02lBULg9n3tzQfokTKkruDdZg8Y9gQK1aALw9vbe51pna+u8OOPqgmfajrpKmFrNtdhcvxurnesYZz0/thPGn+dKPyRfEowMZ0sQeB6D0T4k6RRi2c17u3fR8fApQGia5NBpTPcAkVTOXFzN5wXoWMSd63czicTjwydUwXCbaaw1X4q9/jtcN6RYlLn/flEG6t0AwtbLtImkb+NW7vU0MtQHoGF2NrP2SdIpbGx0tynbYYyngO3zCXpjdqpZjIaFR2Q2Gce93mfi6el3c63O1M1UaYNmrxmn4yLxgGTWRe2D0WlUzpx1r3A/CC16NwSoO3PcXd/I2f3E4TYSoKSFThgKeDSEEJw14nwKEZ0BoxJQFTPa7odjmuVqnRMQbjpgN4BcW7se86X3Bgy5ng7w1Gi2IEUd2tTQSSApYEqdL0FqKjXAMzIejUx8YKZG6gGRDUD54mJC2xfkabzYjcnZISRpP/YgtHvH78Vw9hTwfEzXGUZ/8N14dvQg2s312NlpZdatfeQ7Q6fPITb8jzo/hkTux1rnLm2gXgkKnSwx+QZgDTCrR0QPWYnn2z/LEKQAzEnkXYNiiJ1k9XK2X1ApaXZT1cuwuv5wlybke1Goh93bZ9GPZrTl4eBRPNz9NuXfj1UAqKFmpkvWO6FHxK7i2kFHhmL9SL7LT9Vpr6WjRa28leFik7OPuMQQ0mKWPz1IkJsS8tdz1jGMC/BsmONqrxcN2u1657Xo1Sv5eQvgWhN8uyaJx2SxOS8g6fm3G8k2eDakcTIaR2Pllbi5/vkYQEgeHf9pPD7+VvSnT9KbvEDn5otl7GxfhwAcxbXrdxhfh8iGe3Mzx10KmIDecddkMAvGW2rFQ4t+aZ1zryZelYX9vFItQtcoTfZlyaR90LWI6o8hinq8ZoxBEkWvl5joaTKczd/OMqROGenZkaRJInwGfYP6Oq5nWn7em5SGgcYhIcst0VKukkm9SXqes0nSPOkTK4ifBXYSQH2Rx1kf15LmJsO0qeHBDnquXTTc1aQLqFG41YKp1JVJpcpvuF6ZZVkthOXkrNHXOp129NrrEIou8qN/0mD+sz56arQ8+Vk2pM9DJ3hGesw5HVOhW1GW0DMmOu67Ti/385MoQribLUq7KEOSrkfNjX9rbvxbTR3Xrlyc1WI+kyRC3l48r+NkCHI37bzjhOt2VyTZerGRh3KsQZBq2K5m07IiPcpSq59Ho7FgvC2hi27Q3krPVtk1uVw/m1qPq+PquDqujqvjZw8t0C98uBanUrkGmGpinKY5S6VxLjJYYUAwmIbPVABHG703YtCfxunpBwzcGjONiPsQYeCSXEQ0AXrrdegRYJ1xPtwLR6N4vmTgx6DtHwHcsADlei/Wt16iANUEzWdnxSLzy7UCri9KA+pMIWXSprl561rtU5ATF9H2AIqz+PZ7/2185dt/L076YwwHZagD1yjLHIPrPQ8Ovh2fffWv5eyfs5Rg0FxH1Ci1KS/3XZynV6lZXUsj6LNbjQ0AwzK6rc1Ya93iu04aUve6aNVXo0qZzgGO5wILXrGmeeasIwUVbPD/mEk4kML84hii4M7xyE7PiNdRT11FGmZ/Y9kE7qeD4/R4OLuZu9I7iw/A11DzgzScpgvPZBcQJ1ODz+dmQTOrkpsrOtt7xt9nPLmC/C2zi7a7APJV2q1HGwN8lm6y64ypgIqyLiaQJNexzCjWeRycPsn0xVVI5PJsHLVWO95+/5/wvC7l5RmAREG0M/uWzQxsCWqol2DhU69+Kr753a9EhzabTwfRa96Kk+GDzFYn4JgB4CW8k+kkunVDDKv81vaO2Fq/E7vH78fx6aOsh5uhuneRC6SbNbNXrcQRYNv9lNyLxkxWg1E/Eyu41qWxdP+oZjwf/Cg/qzf0hJ5xvwPKO4WcNKO7RrnGY3TBbITl9MItAXiSxRKkpwdgLteBm6VxEh4eGW/e/FJMISwXU0DNEmA2BwRNOGe8R98EgoZHOdtvOJRrW65fey3u3P40oNgNMOe0gSE1fkeLl9AOwHhmg+O7nBQAbOtFci/VquUGkI5mR+jzAIKNXqA7yxgiA8q7YvjYEW3mAn6IP31uMjsovL1maTzbi/3T70G2VnmeqYwloNu0h/uySG6gK/SRyVTvIKCO/qYXwv7mWGC4kyFOtWY9Vte6lE39HvC964304L1wFXMIksWrOTFg2BWg+gwdEYe631O9UUsZmPgjwT519Uv1T91V195/+hXI0bOczKhXVtFL10XOIDzou4rBkfvfrOiGdEa/8PY6EHpPvZUShGppnXrNY3r+iG/0ttk3rVtBAByn9MoZDqpMBK8mAqlBag23u7l6F52sorsNns33PsMxCHBrghYnRy5kC1S9zLjY7DUgq4WObvRei2u9L8RgcBh7/T+LD3b/ZRyPHjMW0L+WI/SnH+udtXjw9PvIx7UpkBTqYyimMjH8VYnWKMcZ4ytPSmIQK/Rn+pWJFVy74zWG7M71BKdMBN+c1F/CmaQs1xYx5tGGkuyLijI8Rz6Mv1xvghZDexEJp4RD/WMAtyGzvk5uFPeV8KanmwdLVSU5euEK7yc34NaGBut1uqDtndiiN+TzMqwsPe0SBspK2Qzp1CPKH1kf7zuf8yzKpE1xzZ8ZJCUbTdOZd9AHCbBP5z56oLhrtouzF3qTGo1iawQKxjWuzZJMO+mgsTTxRiPHRipT9DU+91C1lK2hcXk36rRcIG/HZXWNIwn/cj+m01m2uQlSsDA5eSB5dyxX3d0jUOLicyVO5mFgsOCedgR0h88y0oBxVlK8Qp2cIEkvGERI3axU1cUO5JZ+yNhggohms52TXcrccHNbutNZz7JdHVfH1XF1XB0/fTiW/8KHxpEhF0NQTYeF+8e4tsZ9bcqAM4FrGbTWaF+Pg8PD6Haq0cs0rBogSA2Ax8X2NcDVavUiNhjkGxiVlYshvzW2ngGfe5hqt+fsG4ZhBphZW3sz3BhVQ7aMfoymhqLpgcG4XHA9ZSsy1mnUfd+Mzd4n4+bNz8YCwzS5mMZX3/3/xNs/+GNA1yLaPQx/DUPG5WBqjKxZws7i8e73+PUsdjbfLOoSNcpah/R4Mfct83epER2McEEcLpIsuN5DorTWus13t6LTvhGrnVth2m93x8dGY+R8EAafB2qGNci5aNdZdOpoWVxzMUMWzvafzl1fc4TQB9RTYlHM9rr+SS+cJGk2GcRg/AiwcIQh1YPiPiOmNtYwl5HTs/SKtJqmrq3G7Z1P5Symi4cNp5NshaF1GFzrYwiI65XqGFcBor/pNHeo/zYNL3wyFAxQ+wKozqcSkUEcnT6NjfZGghGJSQOis7v/ANK4nqA210YBQnM9C/KaUG4JoHtWGXr2hU99MZ4evB+HY70ZJxniNZ4dx+HgvSRtJ9RjOBNsQ/hWIH/IIxfBc7pX0hqyfrj7g3zOhPqOp6eZgEBkuNpYS7JzOH6YnsvJeBLD0VHOhOe6m8kw1iqvxsHsvfSkrG6uR//okOcLYidx/eV7cdx/GuVz9J4OUBOYICdBkxujnp4Mcyba8JgFAKWMbpu1cauzHU923822lgkY3lNZcSLAjWU79KEG93AhOH2o0Yze+vW4c++TsXd0P4bTQ/RQAD8AsNIG3S51kwADBDN0zTU8AGLD1wDDhtxIWKoAeEGdWcYMgy0ysaEzZjMTBGf2ukF6+Ca0W+7rRZ1cdD+kT82XkJvOBsRMwBuZsn2124EIGnK0gHw94Zp9+ngVHR3SFwFztIm6oIzdN6mzusbzTgDj+9zfGCzoPzqfniInCwo8nKCNt3nKH2aLEfeREAlyXbwPMYYI6Cl1YkAyMGPsMDHM4eBBHEGeXb8iIC/WUQ3Ti2SGyLMLQ824KdXze+Gt/blquJnPdxxBV+x3bgaq90Lvo+PHOUSy2FRTusErxFR/S7NuX6btOSVLVdq7ASjt1XeiVWnw3ArXAFbLTUiSRKlKv3Jdn6G/EEz7GvWutUpR70hC+Izrrq3fjfXWa7Hefjlm4734cPcP4mT+JDMNDqb0oe5qbO7cjMHwkGcXYbYmoRDs2/ck15J2CZPEVvKrfjJaZf/VOxGUpVoz9XY931MS5MNYRPvpodabp6dxDgA3pNUZnrnjK69OblBsnrvgXk4K+VtDzSTZ3t+QNL1Z/EwDkVdLjiQLPCmrXXizqtVVytBEhyFdkNpqZYPvJEovwgMVO/cy457kyzZKnVhx7zdD7sxiSWu9IAfpaeEBGf5G+XyWtqnVVn8k1JZEkoUOMLY6KeAhyXI9kp4x1zYWWe0oN7qcxFEB8ad3d8xJImlfQuaFJ8p6lnnROwYRpd9ZdsmfcvE+bjVReHmUETLktB845qrTuXnzwr3GLKt11dNYyK7QOz1fEkH6Mt+d0Q5n81nqFk/JZ+XBqyF56qhJBMfc28kS5VU1aZH1oE27hkpcHVfH1XF1XB0/d7wYTX+xw5krDYFg7cIZS8CYM6RgiDzdab7TvBOPHz+N7e1OtNvuAeR+Pq5zWSZANj66zQDerQt2C+OTKau5V1o4zQOERkC6Adhq9TaivXoTIymhOIr+6eM4GRj2M+N3hrW5SLecQAScQLkqcXP7S3Hvxq9jKFcpWDm+/6P/Ot5555tpiLurPJfn623yLHiLYJfXlUm8++FX4vq1u4C0LYBGEcpl+I8gt5jnrEQjN241KcUsTvqPMsQm6w9A6LSux9bqq9EurwoLAOv9cDPFyeR5HB4+otxDyqHBc58NQB/ArKi3kAYyqWcFcJyJASBIZ4sjAOox155i7JyZ1SCOErC41ulsOYjT0WOM54TbSLQ0ws6SpngAi5CD/rPord6Jc0EDp2BzMj0G0G1iXzXwzZyJbHc2o8OZ+zZp/GmfWk1CeCPfu2+NC6lzlliQCVo6ANS5iagEMVOyY/RH4xMe7joYSYooRVAHSQYUuneKXiw9Rbl+aXYaa81e3Lt1F5DtzvwnRuTxs2Ucjd8HZALQARPHo73Ym57EYMWwN+4BYM+1UYDmt+78hTg8fZDXScBGZmzjGe7RIrBtNRoxgMTxJYRIT+YoxpPT3BB2MjmK0rSGnABajWlUm404OnyGXGexee1O7A8e5oy9HqMKsqpRf1Mq6/WbLAaxt/cgQxcFqKYDLpXOIWXb9I0yz+8DnqvR4MxwzPZ2bPRuA6YhVCU9e5Aa+sYqxPr2jTfj6OgB7TbOVMYCIEPbck8k/uVMubPI9GQ3wV2EC+5nXI/icY2p8Rs11zgIgNEBPU0AyyJZAspNeQ1PEhDP5u47dJAezRJyXuH3p5M+165Gr7ue+ziZuMLrLiDoerEMncp056UhzyhSPRuC5my3pHk0sizoF4BsNDnk1f6MSqIjZlukkDz/J0cCTz4QcHs6pmTiBvq+zxP0ngzNdkk56DOuV/M7wy2//+E/iF5vO9N62wfdr0aPpNkSq4Bgvcs56cA/dVUy4T/T4WfaYwi26zWcyc8Jn2hnnSqQ8YvMtqfK6onhDvl6kWs7nN1XltU67Ynckwyjny3Xl/AMN3Wu085O8FQckyDKbozqxIZy567c6wwy3ADEUiKIzGr7GmVuRqe+Hbc3P02RxrG7/y3GOAg7faRUp21bEfuH78WPHv/TeHT4vTidPYPMzNDzA8YH+vLkINs2U11DGjuNHQjXjegyFrlBdb7Wt6JR3eB7iBJl/LE3WsuAHPTMSzQNYxPwm/ZdAixxlC8WJLOGniFD2rvE/xzvqvSFglRJHgrgrmc9E7Hw6liU4XMrEtE6ZVzjN5vIGZ1y4gedzn2PJKxZJm6V43qxpUHuWcRYWSrPMoSsVDGlNWXRI8XZhGDUkaMhvz5zca6HXOLYRa6t9DKZRKKGbjggmrzAcdznOJkyGh8xBultcvgsiEjFZA+wduviWdTDMZpfSlw4raPRDSVk5fuqXmAn0lD1rDt90ImLZrOV9XTSxro4rrlWL4kp9VINC/KpN7V4ppEE6mV66HkuRc0zPU16t1DJYj8p5eN4Lyl2L7SVGDDmqKN1xryaipNXnTPe7+f7q+PquDqujqvjpw/N4C98VKKLEegx4AMcAPee4MI8HMY77Zvx9MnD2FoPjLGL/A1Na/EbQwC2ote5jbF+OZrVLX7hzPUFxraMMdIrYarlE8AzJ6BojoFa773Mb16Debh4/jAODj+AZDzM9S56kJxxw0xyJ0C+e51cVOK1e78bNzZ/HXJ1LT569JV48PSfxDvvu5D7LOpNQaxGD6Mh2eCfZs/9NDRA5xkXP4lHj78dd+78KpyonuEuAlINahpKjZSztgAjN0A9Pzstwuq8F9/3mtvRBPyaWKLY7dzNRp9BdgaxUp/F84MHKTf39MksUQIADGSRCryYERccRnkJGCi8TUp3BkCenh0BLPo8W5JgaJ5rTCAVgBj3pEkPj+TS2PNsmEV6g9zU1H2GDCGzoi5gP+rvIgtn3JuUeRVQtRFrgKqO3iZAZrGI23sYomI7VjHyu9y/8BooOKV36j5FM/ef0TuwhPBNYu/gYayvXo/nJ+9STiQjYEgvAMB+bnjdKNcMjZcjgLlJAiaxtroB2SzF8+EHMTp7nskihhh1AYmEqNfsxvOjR/HodBfogXwEPtxXb8E2INNwz+PBkwQhkiQTJQyHJzEe9mOtt0k5T+JsNo52rRzL2Yx2KUjayOQJgPt2aSPqm92YTScQzn562mqrzdh7YuiVgNHwJb2nysNZ+QuA1SJ2955SDpoLaVQBKgKcJoTzdPKM9luJNcB0F8C/uboZb7726dheuxHb6wBWrpEMu9Fxu3sNeVP+0w8BNbWCWDXWqTuNBaB2T5/cI8g1WUl6DZ1bJAm2Z6vTlskF5i7krtfdvwv56EmhjS7BuRMYgqz0/kESJahmYltBzypV7oluDQzRo61Wyg3IicR8zjWGHabqiIyprAvleUkAWZAMejzPp41znZW6wPWc3Mqmoh6CafprAsIC9HmNeiP2lDAVk+9+dx7js34cnD7OpCDD0SkyPov+8Dnk6O8yLtyIje5LyGTIdaavN+06ZbpwgXqTe0LOuHmxB5k6TN0RnDqsZ0GyaBie4Wa2Y9WNkmkr28ukEiu86iUpwvv0PrgPkGMNMl9BZjmGWLmCKDQlHfxzJFIuplqXOOrtWpwZeiao5nnZz3lE+TzWtiAadjFk51o1CambR++svU45F3EyuR/nFcn+UTxn3Ftda8fB0WPaY8yzDatzE+l6rHfu0G8hQfWN7MMbndfj+vpn4tYWJ4Tr2vrryOpurHdv8f02ZKIXJmBRcdQLJ6MMwzI8LEMh6Vv+vQLIdpw6m48gYZdrjgqin14prvS6akUiqHcOEvSxMDtD5ZzyEbxfJpVwL6KKk0vYBb14AvcUYt6Ns1CEbDOfZ/iaX8BbIDp6jZycqPC147ARAyu0Be3K7xaTMYRfT5KJCyD2fGY5LYfhgeqPkzTKzNpJWg0vHY4O01NsuTPrHc83lNGJlfRk8bdFujyKclIbyRFlNKGInrjLS7w3FzAm8ykXm0Ais/Ih3xnj+hmExmgC92NSRJJMCZL39Z6ZKRV5qad+XjzQvlGBcJmVEQ3jOj+ezwtSqQdJ8ql30HvkdhGUraQNZryzz2Wa/avj6rg6ro6r4+cOh8hf+CivuOGeXpV6hoCMAVC5gSuGTDPx6PGH0Vw9A2wImKQMgh8H+WV0ar1o1TDizdux2vlsNBsQnxX3ruAavtcbIeCVLRlSUKqtRrt3N9pN9ww5iv7RgxgNdgH5Rcx58FxnjgVTJopwA9Y3XvlXAQe/Euvttdh9+u14tv/leHr4UfTHy8wS5Ox+7g1hGupzDLYGjOcn4EFEzmIKao6PH2J4xtFbfSVJTru5xoWWkzKeYeyc0cSAGW6xBjh3jQlmj3I74wrQBIhfzAwZwlBOR1FDXi66bbQuctH1cALBAyDoNUs8kOshXMdlCFA1Zs7aA1yrpW4CVZFUAhSuMqva+RmAUGPPd+4joxFfAHSWFYgIhtisaGeQIhfIZ8hSHdk3e8ipHM1a94XMLgCcT/luLUwn3qOOqy1D8dw1XuMPOKAVJQS55gCwM5nvAiwoqyiPQ5Dp2h9nTnM9APU4PH0ao/FhvHb7t+Ppwfedg6ZOzu4KDCbhRqXTuSnRIS8QYTewHZtqGaB9elTh95T6fBit8k1IzknU09NSANmN7mYcj2dJBgUcZXWHQs4nU0DmWtzf/XrWzbVN/sbNVSeAO8n04elpvPf0g2jRbg3AhgkbnKFXnwwnai5W4+a1l7I8zuSu37gWDz56J+UibtNb4nku8eApaI0NlwkfRienAabKNl7huavIWw+N+291O7XY7DTi1k3I9spJNLvIeq2L/tf5fi3W116OTns1BshR2YKmeP40Gg0IB8DTNMeuLXPSQBJtYdzvS0+HYFYCJaUop/eoAkkRqKJXAPszdQL55ww9gjLLmGtYnGG2FnpdyxCCxVyv4Hl6j5pt2nlyFJOxsnUDTeupdwbgRTOo93rS9BalDtBfBW9vvPEW/XElxrTF2WKF9/QJ+pjpmV0zVGwi6++Le9jV3RQ674E0BXECWEOtpnpVISLTM2RLPxrOjzlP4u37/230Otdju/cazznmmkkcnPwoTkbPeS9IpU5VgK2sjL+LB2Yz8cwXYxJ/qNNm0lucn6YO248sihn/lE2uE2FsUY6ZTATiwE+RJO2DvP29+uw6lwLESj4dT3yV8qAH6IqTAXqF83rGgmwXniDwl2M7ucETIMVuxjqhNU2M0Ite+3Y0K41YrIwZtxrR7mxFrbsd966/Cah3YoUxyb17GE8F84byuaamy1i0Bhla7d1C727GZvcO4+Er6dVe73pei7peFcEzv3HcUN72S8vmWiNajuoU5XTyRq+SCQfqlFHgbvieJNyJKSqPTK1zOYE+t8vW9DMb1Lud+2on5cxRtlznHpzcy8s8cjzJH3OFpKYMoeIjU1a751S23dKNcCG/3M/JH/WoIKpI0LGFdsgNp5GtxHeWmz1zE3TeCR89kLZZ8VDrLXllbIAcSWv1LDk5JiFMso7elhgLUzG5PsdfPrctC09xQd7UJL+TnCTjzcv5VBXkn6Gp9hEnbgyRyzGfvqmKuWbOvm57Wns9UnrWyox57pGUtpH7Sc7rdRMDLWPCfUwUlMkikNtoPIUooTtuSrusxCz361PmTgg4scV4XkZmVWR3dVwdV8fVcXX83OGw/QsfhlKcOfvF4Dyez6M/3YspRqne3IqTk2NsxAiDJkAD1K04gAMeMLiCcY2Fv3VQL1dXo9N5M15/5T+MeuctSreGkYa8YDCGAtqVVnS6r2D0O4AHNwf9MPqn72f4iUa2MHRLDCjGSoMZ7bhz7S/HjWu/HaPFSZyOHsX7D/4Rxsa1GtweOydApMiUwedo24BlfsermYzM+qMnwDVKpuN9/6M/je2dO1Gur2uhotLuxXkaWowa4PoMYE0l+Q0g4mKEgcK4SgCQSX/kflGDODl9FnPqLLmYTyGR8/N46aV1AIbZvng2AMAZc+WkMWyWu1HnHJ/tYdT4u7IWrUYvCYhrAYQcOWNKO7gpqKmOMyxpxbUa85gYJygwBvgtlkcAZF8NkTI71RnE7DkA31Ccbqx3NmI83KN1+LvayQQOprwtgI5GX1CA2RYUUH4N+GxxkOl+JbSCGkHJ4HQ/WsjIGV0J67tPvxY1wP9q4wYk6Cj32jkdSqyWyHaapMSwukz0gFGfzKZxsuT7OI3VNYjt3hgi3QLsXc/7JXiivoZXNWptAF4PmDqOD/d+GCuQAdt1ugLBWduIJ4ffj+GMevOsoozOsJ7RDk8B1Xfief84nhw8jR7tKSipNVEMAQ7PaK60o009VgAimzf1ft2PGnWvCVrUFV5zIXdZj4z61wLh2xcWcfj8GfID2AnQL8oA11WA5SxakI1G+yJu3mrSfujDiHqWXOtSyfTid298FsB/A72RTA95BvcGjEsw3Zw18VYVyRpG52xzlT4kCERn7FfqTq6/sC+gFyXu3VDX6Z/2t/wnWOPaDBWjbJLd7KP8plKDbE69h2FS/t79pTqxtkb56WvjsSmEBcP8puKMPfe2k4D+bBdKxbGg7r3MAOkeZj6nDSBvN65TRxMb2OcMqxQMWjbnUwToBcjlB8ifMnJP2811R/YH62b2waPhs1w/9vaHf4uy7cSt7V+jz52jV31+ExDa59yHts46l5IAZAY3ddhxiGoXGx/b1tQagFlGzhdxRL+lP+QY5Sx7CZ27A8HaiPMyY45rJilDZos0LJRXw2FnkG4nhWZmCqQtKHW2U+5vpZ5QH8Pr/CcJdr2gm2TXGITUpTKAvp3hT9UYQfz682c5fjixIWCn8Clz9bwCkRjPdxkT92JOOfWcr69tUQbIMXUYLYYxmJqNs0HZd6Lhup6VerQgMI1yOxr0a5PHdNHrBmNur7ET3cYm5dOLQjMi8+zitLthdXpX9LK5Xm1O/Q27M0HFlD4vISg2/ZWEI08a1n4haTfcNhMqIIskueiIbePoqsdDlSk8yQVxELTbn7Jvoy+SMVWhnGumGBgtHAWzPR3r+Jq/oZ3nep4cp7Un3h46C7F076oS5cn955aMhzZ6IJPWDdpzLTrtrSTj6rxkJb2HtJ1p8O2/tn0SHm7qZthneleTyBRmM8vJYb/yKMY+TitDOZWZXubcADflCemmr1qpy3tMpozVjh/2XSc1GM/OKGsx0aGNkGSapdINXRs8hL/VKX6e3sgFmrYopWcKDcuIgMwCyOE4vDALJOPrYIot4jpD7oowRfpuuZG27uq4Oq6Oq+Pq+PmjGKV/wWMqeQEkSDKmZ+WYnhtLfzP2jg7SiDmRVk4gNmNAdsYOsKOHyc80AxIkrKVeGgfwUgmy0LobnbVfiUrrVoyWJc5aNLp3+Hw9KvWLmIwB5Zx7R89ihlFx1twwijLGobnSTNBx6/rn4tWX/1p88OD7ST6++fbf4rp+YcQoV6Ze5dVdyHNKDmNRgEcX3dcAMGb4KfbZgK5gmzDsXPrB46/G7dtfjP5kCLg9jCHg7QKQ7r5Ignxn7iaGti3m2DwM9fQ4To6fACz13rTj3vVfiZvXfic21j6PMazEDJJkRrzR4j7g/hBAA4ABuFQwdgIoF5jXIEgzgFKjWo1WBWDj/kkYd/ALBs/Zb8onQKB8emZM81yC9EwWRxmG59oBWocTI+86Ed65meIZ7ZWLrAEGNUjA1tZr0WmuxmH/UZRrpSRHjXq7MKQCjDwLoO0Mq4+bnpnx7JiPBZjnMQEkSkibrW2+Ra6Ube/kYXoyxA7txnp8tPc1YQmAo8i053oSN/I0q557RI1nh3E8e8TPJ3HrVi0ePn03Zjy6CahrAfgkZOWKaXhnALsq+lWLnd5OznqfDB9xn1ECq1Z5E9BZjqcHPyy8JAA1CZKLzyeU+8bmHWRYiqeA7lKzHG+9did2trcArNSMc3PnWkwm/Xh+/CPIVjcGB0fpvVLnnZE2/KoMWTH5gYsABDXNpt63iOHhfvTqEFnaqHO+Fs1SkxoDvAWeTehlQ0gjiBKi0TaSvUY7ur0btIVr2VzvUxAkM9CtKLwEjxIZCRoEyEyNVduSzzNDnPcpZvslNgJsZ5rtc0k+qJPtLUAqQQ4KQMctzwuS1GpRliQk6Ab9zhXeEmPvpye10ViJelNSe4qOnVP3gAR1AJySD0mXYVRoB3rb7qC36Okm4L1SOY5u9xDSPEhi5IaZZwueTd8zqYmvhga5Zsvfq24ertVRryT8xT44F4VujN6P9x/981jtbMbrt38DaVRiAogtPK7oJTdw02TvJzGqMCa4cF691zNkmn1fBYtcgAwMaS2Ijfcokl8YfnQRw9F+rK1u5+ROqUbZqPeyNMvkBTP0b4ju9un3fUjJKUR8yn1cC6e31T5SrKM0BBVQyrmYn2U6ab2rdQC8C/gb3Nd+rKdPgj2YPmUMYYxjHHFPKsvkPdQVJzJMbGBI5SlEarDYpx3UO9oMUDyYFHus9Tr3Yr37Wk70BLIzgcbs3EQdkuly1FMGho1BfiELJpkxmUGSXO7tmGqSD5MuCMolTjlOc7peyVZSD1Zc15YTKsiZPl4QI9oSeRnyax/P0EOu8sj70+bFxqoq35J7QhKUVpIJT3UI8sUY6OfWO9eMSaBSh3lWEgVJFW270uJexYSNcvJ+6qLJcFy75h1K5y16WyU+++rvx2YHkuQaUfSDQmYooIl3nCQwrbxjren2JTnlsoTCe04hHJB92tO+cnnoOXW8KPoW9+NafpBl5KmUjTJniJzf+wu9v05q0I/mykdypm6jJ5nAxM8YT7If61l0/zXbXO+V/R5d4TPHP2WVa8foz3M6stkaczxX1BTFyTZJ3zg3tlZ/ytRBO2tEQIe6O/5cHVfH1XF1XB0/e/xklP8FjkyrzWDvTuHnpW7cuvGvxPv3f5SARkySs4qGCzBoL6bDcH8IZ+mc5RaMaQRGkAeNb7e1A7gFRmKEZly/rNyJZu+LsXXt1wCUt9PouY5kOR5Fy7UFgLzRCDCMUTADWKeyHZ3STty59uvx6U/8R/Hd9/4IQnUQf/btv4exOAIsY2SdfgOMXN+5FVtrN7SPGBMNmDObvOd/ro+6OK9jjKkAnwELACTC/7M4Aewbl7/eex0b5n4X57F/cgqh2KGyAFuI4snARbHLaLZ34satL8XdO78b129+iV/Xoj86jSfH9+PZyQ8SsGjwx4tqPN+lXAD8zbYpoDHQCaCaFOcMAFrMrgpE684CA6AvDbIx/5IQZxQFEecQv/Mz9zuCIDTcWBf5TkcQEDfj1ThWMvTmAnBnRjuJZbd+G+A6jwnkaWf7E5kd63j4DFkhKo2wcuAQHHidQsv9ajD08+VpnE4eA5Ykvu5/dMI959GprXIdwkNujUoL01zNELqN7ssQlj+jLt3UARdkm3lLkmRYmzOe/dEzpAf5oV23N1p8Dxk+hjwCara697gWUFhysfuoAAKCfYDC5sa1OBw9j/v734mps/SQqXq9F0NTV5uhTXjB9XryLLuA9JOvvxW9W504XO5BgE5i78njnNXVo7O2vR3Hx5BwQNNHj9+LT772RfQT/UV2ztS6fkRvjuubKAR3r8YXPvtXYnN1Iy6Qt3t5NQG/L+18OhfcIzWumUe97fw4xKlJW2a4ml6nCXinAQAvEl/oHXPyQBBp1irBbKPm5sOLmE7HCbglxXpxisXp3BuAJXFyHZEz6ReALrNyGfYlSK3QP03C4aa7/CrlplYbJuVal063HZMxbea9VSu+5232ZUN/LLReEMF8kpkV154YrmMIkKFP3AfdrFWvA9rr6PQD7v8e9z2B9G3FcLyDLGmrF8TIZ+fMu30dQib4NgQ110jY9Xyeek1dJIDnKyPkNIjxeJf+txP3rv0GZaDPocOujXLdkXXttjdTN8xMWJQfMC14l+RAjJSJJNP1JHpo5kvIAzphHzNUuNgPyYmALrKWPDHmXAwy1XiGVEqiAMLuv4YGxwDdOpkcxfF0D9JyxNg14fuzJBeOj+mRKDqQkJl/JeSk/kIuLIv9tgypoK7qgqG8g9Eu35/w+iTMrJib6XKfYr2PZASiDnGeLtXtfdq18Ja4efRa53Zsdj8Rm71Xo9u4yW8gkNODGE+e0Vf3cw2X/cDnSjKqFdq+tZ1kqvDWFATpkvS75syxoxhzqAGnZMq1oY4jhu0myM8+oL5BgAHmmY6a9w7+toPEJeVKOziuScTMvme9HKcM5V3t3YPs3UBGEB7qmSGq6EeRjl0iXxAxk/zk+iPfo3clCRIPYdhMvbEkpgLPtuQG1eoa9+swVj+n/RbYjaO8p0TZSRa9jPYx7ZW/to2cQEAI3NfJHWpGOR3blJ0hkUWij4L88MKzqRP9Tzn4zCT7diSIGdXISQHl5ia1JhKRIClXZWP/XwY6WEYe4bovyVJxn7Q89I0l9qZactJlnc+xAYwXK9RfMif9MQFFvdqLNn3NST/LbLlc7+naPNdV6enWsySPywmCq+PquDqujqvj5w6G5V/8MLSlCFEox5uv/lvxQZKjQ8Z1gbXjswCAQRzj6KzuZHIISDrBWAwBERABDPJsNuOzcWy0bsXUjGPzCaB2DIE4jxrGstl+LcFdFeOil8gd0SsYnhvrPQZ+jashMiYn4B47b8Zn3vj34/DgSSxmD+PD+98G5JxEr2dGIfcbKcUZFmlxcRy7h7uUDZMGYHNWPQ0iz3CdRQI4DJmhLYpKQKThc0O+9x/8S4jEyxjWNcq+jHazSflP0xAJUtvdO9FbfYu6N+P+R38c7374d+LPfvh/i4fP/lGU61OMGuQQsLekzCsVjCxGWY9V/6QaTwbfi2n5STRaRbiKYKQG+aOCGHTXe7UTkApkTCHs+0rVDHOAWX4hQBAALDn1/gg6KtU2wB6gA7h2358ZpEagcbbo00ZLwGspVrubtI8z/eux1r4eu/sfxX7/KfJ4MbsOOXJm2FdnJWdngPbSKk80s9j9XBviMw8HTzL8r1Etymb4nFnZBKSDMYAVEDIDRJpEQnLkfjkLvSWmmy5DQAGGqAtEYR4NgHy3uhNrW4t4+OgHsaCsnfYbuc5NYGQImmuJYCmUJ5Ch4ZfNOJk9ie8/+GosAZxmrmq1unF4+iimAlXkOJkX+/Ps9h8gq2l8+KP78fDpUSznpejVWkDCWbQ7kJc2RALyuphD8hrLWL9xM5qr7ucjvRHU0D5VdMkV0YA+00Pf2Hk5rm/cARLNY3E6AayU45V7b9LGeoX6XDvhO4juRT12Vnei22pAuJaA1inX9NBD16S5PxOEDtIgVBOY5UwzElaHTXNs6OaFa9v4ziNnp0WSEiMQ4uUsfmZLOwPcumYGkO3MdZyjK5TVZCku5BYgm1lrTj18iuzogkawP2TbowMSY70e6ri6J8G1b/icTG2sbgJqBWll9P7g8GG0OifRXR9AutTDTwE+t3imSUd4BCfiQ4a88ocShZMmeZpT3nqTPl7ljnU/F6AyFuipKrt2ChLUuBNLgF4Sa87hFOALsRCUKif/9cf30U0nNObRAjgKXpEOT1JO9HfkI8E3m1hufKosAKBep6frPNO4b2YInkTBMNsE+ukxBLQC8Geco/koTtH/ISD3CDI+cG8o5DZHVkguhouTJOy2TwVg7fovwXh63ehLQmDXMOplF+pepAdrnGFso/kT6sjvIWGSYoG8+5jpR7QNJD+FZ8OELoY91tDtVcakrVhr3YEsvZTrPHMiavIUknTA6yF9wPDGwkvmWOA6rVqGYEHS7SfqEeU1e2GUKGOSbglSOfUgw3kZo2mxJFAm0zGULUM9jRRwrPA9ZxIryEgReidhsbXVTccAyOeCaymfZXQCbCU9VJJaxzuBvve0f0mWXKsDSZIU8V1OjvHeeqS35oVuma1RgueeYOqXZNTNnQ/MHop9KULh+Bm/L1N3JwjcANf2KSbc9LLQB1yHxJhneX126sIZusCPrVeGHfNsKs81Rd+wHN7cdtXja39jsOeZPKvcpd4rOQlofV27lAVe4W9Pyux7+x2DFb/hd+gIQmc8X4XouR2AYY96zpzAcHLEZ/q+E2vN63Fz+zNRrbXpK8pV0mi53YzbccN7Ywfm6Clj7dVxdVwdV8fV8fPHL4UgYTcwCxGv3v0fxMOPngCCv5uzkRIOsz4VawswApANZwBNpjAZPYzx+INcoFqqrkWl5mwkhhIDfnryUQznggvJQS0N63w6wTA0AHGrCbwNVYnzIcThDAAaMZhg/CjI+s4bce3652PvEFAxfBwVjNLg9Di2tzVMFkFwfA4Yv4hnz9xLA4NN4QWQztAZalQGIEVuWEills5aaiw18hNMniFC7kFxEI+ffS1eeekLGBusLGeZ39zY+kT0OjuAsscxHN0HJP5pLCYfUreHmMpDDBlgdaFnxFDCUoZ/ZAgIxm1rpxtHfdcQ9eLUXfwvTtLAm73M3eCrGGIz45lJDciIQQx+28jMZm0AkOTAuHLxL9+kp6OEEU2DrXHHqFZNiNG+mTBxCiEdTfrIRQ9GJWqUqddchyQdxOv3Phcrk3l8+OTtOBkfpscvF/VjWAUWki3JTd1MX5T9lLY045abTh5BRNruAcTnXrt/+hijL4FQT/j76AniArwCXJ1xdRPXBcB26ax1dQmBdn2UC+Rn6YUql9fixo3tOB4cRH/xPNdVuHBcMJkpiAFdrgnJByAUAXamoF4ZxodP34HkbHCvi3zOPIYxW+lTzgHEbUqdaef5EpDShTxdxIQ6bXd7yBvQWaatKG8VEvrw8dsxnj2Lvd37cefeJ9BZiHqCMUAQqnhRWUEPICRoi6BpbXULMH8Ro9M++mmoWRGi5MadAionFeph2zWoI0AZkjxBFivotmDTjVv1PAh+UEt0wLAvQ9tMjNCNBmRrNtlPkCawzvTd3L/IfuV6JgCcaunsP2BV6J9gF9Dr55LmIqFEmfuZwl2vCbo2A8xJABLomWHCRkOh9JDRPpbbNTANgHkVMC2oNpthCdIuaMtuSbvMl09idVWSOYpBvxGnfeo3MyVzh/u42Sb1ogmz79hyPIdhgvLwe/sdr67NQw2i1VZ/qUGm0OZa6wDxHdMvTsa7cTo5iv7kUYzGj5ABpGLpprjT6HXvMGasxtOD78R0cQihMkumv6eNIOz6gST0rgtzk2JT11cBr4bjSVL0GAnA280dfn9E+Yo2T5GgSU5smE7ddWHFvmcT2o22Qx8lSydnQ/R1GCN0e+oz9BJKWqmomeIy8QN6kwv2k8xCEnMSQg+SIVcXyLaJjCYxpH5zJwWqjEXonEkNVpx0yMkPxpLURYSGnJwcMUTM9mk3tgHMt2K1cSvXGfncievxJNaQGfun/UIwnt4Z+iwS4jtJt/rMa3rT+B65p+cw9chHUVfksqSePnuRRPWIEhhSZxuhSl5HibhRHpmxz3tyb/VVnZPcuU+bHj911T3P5i+8ecX6nuKZHkk4fOUlw9n8hPtIoopQNp6GYjlh5zq4IjTR65LC0LcYZzhnEA7lrmdv6Y/4rWFrxZq7og+rJ+q7R3o57d98Jh3KSUH6hdXDyhXX876gSrxTSfgvy08fc7z2yhqkRQ+g44RfVeqQMNo0yTEyMdNh7rfFWaTyn/ObHtfo9eR5hjtWbfvifpkcw0mhOv0Keem/si5ud9FqXks5Gc6Yleee1kEZWjzll2ntr46r4+q4Oq6Onzt+KaOjhmVr85NxcNCPw5NvYtQN+zK0S6PvjKYhdjwsN2/FAJ8LnHm5AJCv8jvIjIt/h5O9eHr87Xg+epBA+8yLICfOfmk0CqCvEQRm872eCN9vt1sxHEZ0ep+Mz735H8Te8Yfx/uMvZ/iJyRVuXDdbG7/FIJhRzsn+IoxIAFAAHg1cESfe5uykkeRjPtdgauhG/A1huTilvqY/voi9/R8ALnbj1Xu/BSB+Ka5tvxrj6XHMzp/EaP4odiF6x4MHGON96rOLcdMQO2t4BtCR5AgieD73r2LvtnobGM+zWG3ehPDcjcPB8xgvduN5/3705wdpPN1w0nBFY83dcNZUwu36mrY1jbigVzxbQ/65xgPjL2ky3bOpvV0nprFu1Dapr7OqoxiO95D9E+oFgK20MpHCObK7dv06ZOZ+/PDDbwIGC9CUsf1Ydj1Ihthp7Msr3Qxvcm3IeH4MQT6gTNwfIDean/B81wtA2ABCpvs2nfZG47V41v8GfxsfP4QwFTPOgp1ziHJushhjiLOzoK1Ya9+KrdV7kK37WZ92bQ3AcBgzSKS6MTtzrUZxDxf3uyap2wXsQmTqgGRDBze312Lv6H1I6D7tNEIGnehUr1OfiGbnnHL0Y8K/1sZF7onV7bUBHIt49OxHcWPtpQRzz/d+BKAexrXbdxNM8UDKji4BNC4XiZt2e211LdbWADYlgWqX5x2iK8/RLUBQFWgMIXczZcFVt+I6M9oIUkdlADejDPlxAX0SGRREoOOMuuSvDmlc7d7kHkNIpQCMZwJ8i3AmwGcu8IYkGR4FWclQPa45O3eWGWVLPREE1qlnB50wfKwIdzVbYqXcSx3xGkGVYFCvl2tpMjyzDimiDQxF0ivW6V6nvdqIQh05i+Ojfe7ZR+cmMZ00on9aSRDuXmU+Pr2g1pwyJX70sXwi5nPdVJ4CToSpV0cdzs1aAfGWQT3nU0j50zgaPYrD0QexP3iXvn2ankGJfLu5Tbvbx5axvnoDkvR15wzQ9wVyNkQtfUQZajmYPOXBi/RO6T1JsM3zMo03oNNMbZK+ZtN0yoW3xHU1hrMJYk0qom7rcTK0UQhKlWLI5309o4B+ibabW08Awtw561tsDFqEWBlWmgkCuK+EzbJJjBzzqujGZSIUrzvjepMFOH4YYmYfvIC8LZE/ksq+qnc2+z6f6xVquVlvvZhIkUxbX8mPhOl0dJgepTnlR0tojBceSNrynH6zRB/dhNnnpTeIcUj5OzFR4h4LZB4Xhjk73tv/aFg+hwbSjrYXYwZ1t2+mp9BxHb3K9kXnzhgPp4wf7ullmK5JCpzcUS7KWe3gBnnaNv6+0AEP71c8U5JYjCF+jiyUEd+5PkgPi5vnLqmj0QvF2MX1jIcr54UXynsimHyG42XhSZI0uicceoEhSFKX/YT/uLeyKsLolAj//F7SZV98IUfLkt59+rT3Se2lbOq4HsmUtZ2Az/3MV1/oKumpOj9jHOT3lbRJTjTZdw2x1mtG+ZxELLXQ6w56skxydIHuuMVFbvgNkXc/L+9rWXy1rL4tSObVcXVcHVfH1fGzh6PmL3w029cwPGWM3GMG4jIGeQMDAbFhcM8EAhm6pqGQ7Oju531pPe7c+Lfi6GgGiHqMkXUNwHE8G0Eqpo8B9xjcJC+QK3+LMXKPGFM4L8awIT6qltejVb8RnfJ23Ny4HieTUjwAwD45/mqUGq5NKcd6dz221g0FAnDxW2dOSzWtW2EY/L+Gz7CUVn0j2o1rGA2eyfcaTY2MM+Ya+0Ry/gCCVMzKzyn/s+iuCW5bcXj8OLYMrXKmGzJ05HoIwOZotgfocQNUQYsz8y4ebiXA8hlpE/lfte6modRvPotu7RogucU9Hsfa5kYcDp8AGgAbyDVDpC6NnV66/Ju3fFSruHYKAwpRMivVDNCfa0QyVIVyQcCcOdawm4XL22ytvxaNxnpMJqM4Hj6nVvNotjaj2nLvndP44aM/jmcnj9PL4FMFOXoGBSaG0JUrm3y+EgPa7dSMeIDJNsRNoHp49DCur71Cy9djggzc0DPTGZe6sTf+QRwDThcQIVNPV+roBoRpJb0LzoVCFAB3bkLpjPjnXv1tyPSDDL3rdV+HiPY5T2nmlRguDhM00uSI5TzqAN3zlWlsbGzlfj1TwPPx4CT3qGrXJQDFon7XALx+8/NRPp/mOpbhyij2Zrsxo0z1ejUOTikfcuq11gFN7Xz2k2fvRauzmjJVjYrF6a7jAFQBXmaUpbPai9XeWtTq5ejw2/3hw9g9/hH1EXgLDHlFD0xN7LqySgLPKr91D6aTcDPHtc5WNBs9JFuO5VxiKoCq08aAoWoPEF0GLLtfjaR4ynWG4QhGi/AcZ8t97/M8z9EJ16c5yy3wa7ZW6Q9qEYRfsIjcbd86OiQgK4Ct9zI9sqSgAOTFvejCkCRDN90sVkEY2rgwUct0HMMBv5muxsmJSQmoJ3IZDQ74bkh5i42WM3007ZXrNXiyBEk98t56i+AjjCW8L6lrps4e5rNz3Qefj+cHuRnyyeA+933GrwyzXYFM34y2MuKGekSUYa2+Fvv9B9RhlH1ZgGpo3nDq5EAxbi3RRNvTfuZEhnql18hkJ7ECAUzPiPqPLDhdB6MHYo6sJcmuS5PcWIf0PnDNDKA/gawYame93HjYNWZuJKoHypTtroNTZ+fovh7CJEFORkiUJEmMgVS5aAtrSaO5z84C0ml4nvKw72fb+Ibv/U6PruuAfK7kXmDfqhseWsl9rSRzpkUfQt4PTh9Gf/SU+w4B5RJRwb1AXqCvHgja0T8JLqfAWk+e7Vck3TnmOgmW4xulpO4ZFiZJQd6GJ9q6FlQ90/RkaFrK0yJLwk8zusBx9oL6+511tvJJ7PP3kjD7j14oiRK1456X5Mb/84OUV14vmVIAee2Ur1zXZ+ik6cuL8dewOsNtTaxBrblGYsQ9+OFKPk8CJClR93m4xae9Uj7IVNuWn3NIPJSXfcZxWtNlX5d4l9HJYhbAshRjtr9TlgVRSc3hvdEFTZ5dJIfIzcAlnFziGk8sLONIkWAk10ZZTdpXT3Cney31aKlHc6rHsUk/KEKdfZb15un5uyxfIZyr4+q4Oq6Oq+NnjjQjv+jRqt6I05Ni3YkZvOrVdQZtILEGG4OZHp8XoC13vl9W4+a1vwQxasZJ//sAPggKZMAMZbsnuzEa7zOQD8Pd0M8w9uP5CUCiDmDtAtQMYwG8uFYA8lGu9KLRuhV/+bf+17mA+rsf/FcAkneiQVnq9XbUmpAzgMtKeca1GMUqQM3tS7AqrpHSi1Ry1riyFl/8zP84bl//XBpMd7vXKGtgnFk205SkwJA3ydpa41585o1/B3Tcjg+efD2anU7cu/Ol3LTRDQkrmtrJQwjHIGqtL2KSukkUNYTuTeRGge6p4Roiy9qquVh/O9Z6HWRyEu3/X3t/tqvLlp5nYmM2fzv71e1+596ZyS4pUSpSDVWuKki2bAMGDBjwoS/A1+Ar8YF9ATIMW3AZgg0Z0oGqSjKKVEcWlSSzz92ufvbz7+acfp73i1grmUnXgTbPFGOuWBF/xGi+8Y1vxHjf0cX4qL2z/922WN6206sX2fVKrHF9e9leQiLPrp8G9LgOxXUEzmMXaLp5g42fu6I5Le8CAOjUKnsc3fXJkTEbbL+b4jSkkCbuu2j/+PjDgOYXZ5+H2JwcP4FgfATQvWj/8o/+n4C9K8qqvg0DNqI9t2ztQd3PiNQNQOv56x/hB0ImOdtctzMIxoP9d4l/1E4XzwGjrzM9bLuhX5r688XP2uXyFHnJHGR05VRJAdH2ivKFSEqtAAMLgNOvffLXKK4xZOcZcX4HjOK0stNM07xZvgacLogRQKI+nB62ewvw+3NkIN3L0/b69EXAw8XNM/LdIITnyOi3Xlr7h7/zv22j7ct2RR5frAB72xCPvXF7/uLH2OYOAHedqXY7E0gjwOPs9Mt2ePwYRexkROLxu++34yOnFQK0N04R3GmTfeyThL795Hfbq6vn7Xa3eq2z0BsQ5ciC+XaUar25TL4XS3vPbyBzzzL9cQFYTrlpi07Pgay7NbAjDygsQLjWPIgTnT50wf0CpW7J7ViGYY273yFMEBYwTUEKZicCdJjB3S31UASMfGN0XhspCL6c7oaX9EbbSw+Jmh63vfkj0nT045x4rWcQmvEWIM0NATbo6A5d7LSHR+9mym3WqSxeRFY7Idx8IR0oFJqdCk7hChDPPUehKX9Eg0O0abZeB0RT5o5SZLtubHy59oPET9to6yYbeOxNIa4BgE5Pu2snlMkKHR0ffhAQ7lRZyyfTMyGjTpdV8J2dfQCj7xYXyJMR1OC3d4C+3Hf7+esQrNX9ZUBw9ei7Ng1Shk4FoILmgGPKwQX3jg7Xjm6+dwDdZEZy4ui48d+TT8tAkGrHSXYCJR13fgsRwPZ1TjXzHeV6sTtH4R2RR0/aeUgS5eVoRzYI8CC9S/T8knp8zrvD0aGrxRl1xKmll9HBDe/UZTamOGvX+D27+qK9gmj6IeMVBD9rkOx8QRX8Q4giM5pH1iaZJ8ptxPvUcnFkz7WEWZu4KmLuZgbmvVoZXxj4wx6tcJmixq2eHPu/I4ROfwvxQAfZtECyisvICgEyamNAS4mz7+UIaRyyteZ0ZY+e0GgNPjYFCYIdBxIkDbrIT0SIPBIbbcT6ZOeFfMZ3tmReMmLd1Trs3CAI4d3wQHLiEZm4h6eUaUZe8e+0Sn/X9D3jlsipzy3ecf6utH0PmY6dR9vNb43NsRHtY42dXkZv2pm2oIzWN+NKmRC/6/B8JzgFT7JuHXerfadk+94vEoksTkdWZtoBNxga3OAGN7jB/apL0/VN3Wc//7cB6k4rmE4fQJKeNL/PcDS3ZxugRmNHcwHYc5eyTds/+g0a9w/aD3/8LyAijmJUz7U7rrUGUD95tz169HG7hdTcAH7c0trGyR141ku/6QIJmzxuu5xn84/a974HUdk+pIF4ATj5MWBsFz8TiBPPJ8cQkwltoT26NFg0+vKcMQ3f3VpA4YgXxOTo221v76OMIO3P3OULAgaoGc/u23hyB/BDTBqY+7tR+/D9f5DpfP/9H//fIUT/vs0B/GOAo2B2efuSxmgTkLG1c95m9wD015+30dF/2bZG79N8IQdg3mmHs6kLg10gv50PONpInpwct4uLG+4dtv3RO+3J4Uft9fXX7XwF0QFQ/fyV3z+5QB+jgCn14oiOa6hstW0onY727oPfbQ+Ov4VMAg3BtA00z8EQ9njqfY28EjZhiw3nzZKygoDszd9rxwfvQ1auOT9GhxDZq8/bf/fv/2/x5+5ufnR14vSQrQ2kYJzNGlTs67MfQO78+OB2e331dYDuCDApwb24+ToA3E0GtgB609132vnyRwFzEt98UV+/kAt1LzFyOo3xYzBtn7L89J3fbc9e/ynl9C4pHLf7nbN8LFQLuoGACUSv7s/bl+c/aM9fPQOUQsYPfwOQ/jGA4bZdABifEj7gC/B2cfOq/eirP27ry6v2+3/9H0AoXwcEHZzM2tnyWeO/NhZEAKgy5QbZJQmXZ0+bH7ZV/5Ku8cQPvELIkwfLwi2xD9pkNm+PH/9225sdoXuBvfgJ4MjhFCzLciGRAWC6WcZyeR6QuLm7LDJAgDG6c22RunfNy9XStR4QpwDz6gCQbOgCXLE/p4FKAgRDmfaEfuwtdwMS168IIN0SfTyCpFCe9/cSO0dYkR0ALLjfif4FhgDzW3ucub87yfbtM4jIwq2D147yOQqyT/zjyOrubA8fOcImwNyCTEEKIJ5yiDv8++HVbOSAHBPikwR5ZDQNgjWSF1hJAYQUH/WccOTLTgXXV6mfxtkycaTZfFqvRrETR0qcDnhjoDZHltE2ZAhy8GDfbwLNM1LhFt2LjWvfOGNbdijc8P7wHeVHOcWSQGf+28aPxM5RI/2eUmcKqGaUSGAL0PXdYNnW4nriQN5M0+WmNcxn2VoZtrdFhnYBrZkCxv1tbFbicBeCRH5IL0DcdxUkqdZA+p44iL1Z36232qMjHA1iYu+J3/QJEObvinfMs9MfpcPi7OLzdnn9NETo+uYZde0UfS0ov+e1UJ9nZ9dfQMp/BlH6OWXFu8u3ggicd3NPjCxP8y65dz0asL7eHTzMN7Zvfeah/atAOwLsRIFSEMZRJImHmdbOyq/l3sfrSJLlq91LMFz7hO3yIFvc897ye1IkxD/Cx967NI0V3djpEh3hl5jxgJ1L3vytJ2TI2itJ0v2CsDViZ8dERl0hr8aXouz+tOusxyN8CJ5nDzzZ+ZTRvhAl5FNZ2IwPFTWdWMqr/NpTZLJzYpR4jd/piNZRI7UeOFpaRMrpnfOMZLtWFg/cc9QRO9L+TEuJtF/ScA1YRsawMdtbbc9OAeVy7Vz+CO9ulJJr84HHwQ1ucIMb3F/ifGN/Y3e79RJwLbDwnTtqBwdPAEIX3HsBuLDxcN6+X8C/Akid0NB+q/3pT/6bNp6e0/DbAAsQaGppYB8cfNIO9r5NOzJuHx9+p306+1Z7ODmk4f66vXr9M0DzrDYGcOrV+EH7tW//Q84n7d/86T9qi7sfAUqJ5+ZJCI47u40BFfvTj2h4TgAGrb0+XQaEHe4Dr/ffpXmatcODk3Ywfdzms8M2n0PwJkfp9XZJSLa6tSWhATs6+E77+IP/Zfvp599vP/7sH7cHh7vt1z/6u+2jJ99rV5en6Y3NBgrufEVjZA+m4GdnB+Dx/P/L7d9sO5OP2iY7qO0Dnqe03wAbwvgh3FV7ihxHhHW6GuCABvSD47/Vpu0dwH9t03xzs+KZH96kQVZngjP8u1ORgOrg8MP2X/zd/z0A1ylBLeTEdUb2cGa+/9qPfLqb396bRl3dO/1PwO/Ws07XctreBw9+q/3Od/6nkE2nUZ22nz3/D+1PfvrP28vXX1Kem+baGr89soOEroOonaLOubdpy81Fe3X2GST5YXZac43N1u0K8nlInrcDwKc7jwCcLwGrkAIa8h2A4JPHn7TJ/AAgXm13phXypEbL1u3bH/yd9uLsp+mV3Z/8GrIu2/XyFeDxpJ1BIp9dfw4B+kk7gkC/e/zrxFEEcH/+LgRmt73/+Nvt8gqyKSAlj+5edglg/nc/+7eQ5Hfbu4/eSXl/AEEfrc407pDye4Ebac5m2NPeY0Lft7OzLxOPIyNuLLGFnfshT4F1RpWefLc9evjrGam4cQrpypEW7EnCsgugAeS7DkWcI4i6Ir2bVa0FCaijvEeQaHuMBeKOADi9yxEXpxZlGhypufGDRMm1egFgkguAYHr3sS9BoNuAC7R2ITC7LvwHoFa3hBDNtWnYD0q/xYaAaqQNmKWc7u7ccU1bnhHHIXE8IHHXFNW6G0nXzA+/kv50PIWAHLbx9gNsY5+6OM6xzChYaxNAoUTZ3bR2IEZtexZi5fRX1y1KkJxaN3L0iGv1MqKuCgP9f0tgzrFNTbmHrLi19L2bptydoUdIJXbriJDrYopkLACElJk98Xev2hQ9+rFUNzuZUgemsC+3c3crf9cSqbeQD56pwRop2YI0ERdCqAO3GMdqou84wgmsiwQpc62bEcBaZtYtOwl01lX1lbWDkP1sU41iMsUKL5bGW7DNr1vBrPlW/74VHMmWFGHVPK5piijWOgLglSzZ8eNU5C3q4OnlF+3pqx+1V6c/y0eZ/TbbAhsTSDuV7vLmabu4+qqdX/iNtmfUhaeUFTYaC9AOJDZKpS4khcpqviUC5Ivy9N2t3SlvykgdEBYDio3qHOnpR1mKTJY+AvATv8SO/8mKv31fZRo29/HkP86SIOOR+BeBcQQkcfHPTYCUR+Jdo0jYF/pSfqe7eSijo6Alj+9QOyLsJDJKR7wkcMarrKSrfmXnxFOiSlAkq8Th+5aELdMS0BNlxDPznxFSjmxOZB7JuyNb3kNz3C8CJMHKCL+/abPum9Pq/PC3uz5KivcJ77s9ucc+VujHTi8aM9O0OBJevSuX37vjfW4+zBj2IFlyLZi2KimUrBrGd4Jr+wY3uMENbnC/6ny9fmNno+kie6eaHEwPsoPZ69cvA1hmUxuUaljGoweQol9rXz79E178T2lwbfxoGIgja06IZ2fmSMS03d2s25M2b7s0aJ+9+kE7O61GXHAg+bB3+5P3fw9w9m77wz/7v7QXl/8KcDtq67Pj9uWLy9acCkYD4FofWEkajvUGGENjvloCZPdm7cGjPcjcXptDSo5Gx20OYDuY77UnAOXZRPJi76BgB7L2wf8M4Hbc/uQH/1canB+0k/lh+41vQc4gU88v3Aq7tYvLH5NXpx89zlQsv2lj22mv4HT3VVtd/GE7pV1bASDz7Q4av/Qw7xy285sv0lgp8+OHj9pXz78CTLqd76P2G+/97WzzLWb6+PH77cHsQfvy9M/hkIIBv0NE4wd4OTj5tD149/eQ8Z+3z77+p+R1hf7d3tdeRjcyoHHkT6DbaIjTkJO3BQBekOhUPRfjC8juBZwArgeHT9Drr7XlEiK3u2n//of/vJ0tv257c4nuDMB5HCNyAw5bawHemPuLm7N8a2XmZgrIkQ8p4nEEQAgQBeS6dsU1Xn5HaDIGWPN3cvIutrGHjq6A+MsQJBt0ydPy7iqLzP1y/2cvvt8eHf1N8D9ltH1KWU3aT5/9Gfh52R5MHgHSZ212fxCCuGmLfBfHaXqzKQTBKXtOMYL4OD1vA4C/3161n/z8++39R5+23/zw77e//a3/TfudJ38P6ueGIpAZp1+tFvmI7m9/8nfadz/9fUCKvdx3xLkfspBe24Ay16FgY/P99u57f7198ew/oJcCYNn2GNAibrrauAbGaXDcE/jYk+0mA3YkOFpA2gF3hBlPp9Qrt553hAjABPgGAvFPAOh3WQBe4jDAuWAvu+VhvwI065bAWOIrgQfCx7YF+dpAwC12KsiyDAvAChC1zRHybUPisVeOFfE6ihOQTlk67c/XiN/ickqPm4g4SuPHdOeT/Xa4R72aaqfUA9cQZnqYABQ7pF5mZIgyIrnIGznQzWiMbUCOzCNec272+AtsTT9vLkcDrmNfjr660YtTFUmAf5AyytQc3gIOBbOOPAkjzfMYe5qTtzHlNRsdYseOepKwwJ+za1wE49lIAZty5zlywEFpKTP1LSSGf1xaAVKHiBzZ8IuA6vv23nVT7pJY4NjROh9LdPIBZv3jN+9Q5NYGlis3KjAd34vWFaN1FEMAfJvyDwnmeUgs5emHuLeov573SOvAtUaA8uXiebu4/qr5Iedr4l0Tnx0lfkrhevEK0gRxWj8nPUeu+Ed+EYO8kCipqnt/m5iEpqZqdjJjc8rls5A8SK/v5T5PhudFQhxY3Abbd2qhMltPfGQahjM7XKtiy9564jTPbYkOZVHrjJTBrg7jK9uPnvGRJxIyyQky+OFYdy90RDqkJc+tE9paTVHTmWZ7Q7SLvJmPUJFkGltJPnRe7/LMMnbEVYvyz9+mXR1NFYw6lHsSW3WktN52zaAkhfrnDZ6kBhK2klEB3HG0ihAhoNzrZclmDrw3nUrnCLT1xY2F7OzwPSFp7UfpHLEylHW3iLr3Tds1aeQ1Stef0g1ucIMb3OB+2fVv/2/k/P6CC9S3efk/fvBuOz93i2LXQ/gdnkrEXdXme7/VLpeXvPi/brtbfoeibyiqVw70BAi9bavLZbvk+A/Pf9quJ7zAaTCmNHaHEJR7v5dB4/DkwXfaHCLzRz/9J+2LF/+snRyT1t2T9t7D385X+mtBuT3mfgTQRmjeFgvA7ASisNxqi+WyjeYA3odLGvab9jd/6x8Cfh/RJNeWq8/PPkuv9NHht9uH7/xP2o9/+q/bs1f/bdvfXwO699vHH/7P2zUN09NX328Hs+Osa1mtXvFsq50cfg9Q+Alp2htII8V/ziWfj2+Q8c/by5d/2u5212k4d3f22uevftLGM6fw2Mt52z548u32+vQZjbxzzf3I6m563je321zvtXcOvtsm97vt9eUX7d7eboDHiHh+89f+Yfv66Q/a6dX3AYsLjiVA6Ts8mwVouXX5ZPIOYO0EUrCizIAfTie6tVd6AnCSSK1oTAVh7k43So/89z75++3XP/29dn1z016cvmp/+P1/3H7y9b9Bdnd6IhyN73T0EEBm7/V+RlHc8rgWs7sFt99Iec1xRdwuxvZjsADHgAPIIgRpRB6vV8/Jzy3lIogU3NKoC7AAdE67sgecSLGlefvhT/6g7U3ebbuTj9vnr/+0ffHFv2/3qxdtOgW4AdrcyeluddeOZhC56RaE7hg7FWzcAdrfA+xvtZdnz9r12p3H7vktOL1sV6/P2ofv/u02PcFWb4+yqP4O4ur0SUfV3KHvh1/9QfvpV/8OAO+mB4KTdaaR2fNuXl0c75QYYfkO5Onp+U/ajr366Gp9f4W92fsMTEGeC8jpKf6FMneSLAkqtnt1hb4WF8Rd0yN1e7N5O9o/aHt2OtwCklyHNAKgdtsIO/VmzX3BrtOI/EaUxEUSI5C1x/2WMJkShzxCPKdvmYd8bJg7NVIh+N3BBvwAJ3UbubO+Z+KIhes+8GGdBIRLcnQCRTeLqBEE4rrHtkKgamRRW3Y93xY1rLaVp1oLJE0zQNc4CUlQR5vGEi6zhbOn2w1R7prvFDceuORMeWBfEiI/Gry+e4mtXiC5H0g2bgBmOmCIIJXQ3ver/A5REeS6lhHVHs+etJODD6m78+gjABr53eTCXdX8qGbIokCWemd4M1CgVOCq/mqnM+8XsXWqGAf69rnTxOwkcD2Va6vMu3XMt2PWhuWMBeHf3eMcjdJG+s4N5VGv3tPOjMu8CPwDnD1je1ucJSWOkB1kq3xHJ1cZGXJb/+XK6b+36A2gvbnpRiuVEX1R37f9xEHzOzuGFaxX2YTYSUDUEHYhUTKvrqvyWUaD0J3lmym4yJ1RD2xZQub7uHbfc1yqyJbhPeqvfnrXc+0URxpc+x0iL2InXbzGox4yZY/fFVJyr8zKJKE0P+o2scZZB9ypcbuhe8mB7xenomJLqWfooeLTWbYlq/ad3eLQkekUcTI9QhFPRoMUJeEkRuqC+PXH4Y6sfaw1sma8lfMiQpIuy1g92ymBI5xxO0rv1NiUMfl2rVfKjOvEEXnrqLixwExL98r3pXpQ1v65rvQpCR/c4AY3uMH9qvMt/42dL/TxtltHb7WbmzWN8E16gAV3+5N9ANZ+O9z/hOdH7cPDeZvOAPtb7tB0CjiFMNGg2rO9BtCulxIQgPbksN3wgr8E6D+af9TeP/jtdjx52MaAnqOj99rJyUftJ0//uP3wi/+6PTjetAeTJ220eo+Gcau9++gwRMtpMzYq7sp1f7vbTqYP2giAY+N9feUi8gueHbXvffp32h/9+P/TXi2+bq+vn7ezhd8GGrVP3v27NEY77U9//E/aZAb4hqxt3++1D975uxCi8/by8se0YeN2eXUBADkFbC/b+fVTGiRAWnpWbUjJhA2luIVrRypODlZtTMP28nqnna1dX3IDIP66Le7PUiInB+8HUAkqnIJ3uvwKQAEzcRQAAK6qSURBVHMNqbkDfAMMbrfag+mHNMNL5Pg5gHvUvvXRf4YMm3YFaZo6B5128LadAmYAOneHgEMIJHpwRMoF6cROAykY9dsv7lpWPb8CKtPaBvDtTqZtCelZrAClAKur67N8DHYMyfrXf/ZP2s+e/Wt++4X/DaAd3UIcJWoCJtdyTCF1EqXrzWlGb9y86hpAtj2yYbaxF3Du8XvddiaXxPWs+RHbnZngXSBfozGOatmzvFxgLwBIt5S21/vlzdN2djYNqfgQIvtg+lH74uUftJvbZ+SXcKuLtl6YzztsbgS5PeIepHfP6ZOuJdpuVxDbi+XrdnMPmIUIHUxJ++aquf34u+9/L+vYVpIaMMp8dkA8e229A7yaY8f20lNg7jB35JbiCCnZWCzOISrEIeG6OUvPvd94Ss8wgC0fYMVObymABf6vkXV37DRCp764zfc1Okd2dOdIRoFwgZibIIzayWSekQKJaQP43t2edmTIbxIdEgbiBDGVJHkNdKd+QWYgMK4dywJ1wKC7EpqeAD6/Q3yglyE6AGHK0cPvA7lFsiMXBebd3dHdsdCVIFMgam89KQWE+YesjrIE2io3gFVS4iYftaZDvwU8nbKXnvaQsiIQfiBWcKc9apf2gLsmJXYDCTJva+pcjlt1ULvTKWN9QNR8FSB0Nzs7SVynEyXyz3yYb78ptD86yfol17gVwXcHvDn+BPeOdGqrgH38u5mJ7wY3VOjBqP+STkaMZXXWXcIhkyNZbv7gb0f2wsiyRs1phfN0xoRkQ4LE+kSVZxp8D85z18qah9QZ4h9bNihHwiQpzygBMtw77cxpg8Q7oQ5bbtZ15XUDisXSqZ5Oj/S372BlMnqnkUn+qBc7bhLgqJ9l5XbSEgMJUxE5/alDnSqwDEMQNsjj7qVWdF9kPMlmBcjk+6jsWJ3pzFvdS3aTN3+/zapTLjNtkTBZc4Q+fLdkQxqUVeuaKMNuJDQHstVhp507hVrntF3lt8OKyCUi+HF0ypFXbpKa+oNwoE/TrOmSJVSVgwTD3+pcM6rCsr4YV+KNf8MRL+nWWj/rkkQYnXG/iKPKIE/Ygx1XG/UGYdvyHUy7IRGreCRGki2Jt50JxOuLyJFWfUiObCOQWaKnATnSqYbTGYRNbHV1Qle65loPYUbW1MENbnCDG9xf5urN+Q2dL3zB1c2NX1UHjDgdZ2QPWn1HZG/6QaZ3rddftWPIzd7WQTvefde+Ml7Q19l9zh3n/CaFvch+pHM+BogIdGgsDvcfAdYFUXeA1Eft8ePvthcXn7f/8NN/1OajFxCokzZefbdNtgEckJQDp3/R2AhMlmu316YhAjM+mn4cEGRbsl6S8sWinZ7etQdH32ufPniP+08hHJ+1+fSgHe0/bP/hx/+inV78YTvYL6C0s73XHh79tXZ5/bJd3jzPhyxttCQAmde/vAa4zNvL06c0t641ATSkjUXN6Od+xykmgBZIo9taO0f8i69/3g4OPoy+ziBnfmRSMDibTtvp5XNiOW+nbmFNHiys15fo0d5zQNXjyccA5RsIwev2zju/2V6fP8PPddvbfR/9PQFUVA+77EwxPnz0u+1o+p0Qxky/orEUVAhcBSjG6TSpBQRR8jDamreLi9dtBmH59P2/gR7cTe5Z+/LFn7b53hMIhQ2+4MtpRHeZJucalruGfJT9w5MnbTwD8N9B/AQNEAS30l5wSOokxqbht6nayGllftT3eUZY7rYu2ogydxMARyMd9bAsBXp+g+fJOw/aj3/6B+3h4eO2fyCZuIJ0PqRsIHGr1/lo6M3mVTt99Ty7KbpT4oNjN8JokO89sIQfGJ61w71ZWy1fBTTuzUfteA4YcarhatHm88dt7+gdym5DmW1nipujV9mqmbIb77qOBLKC/sbINxk5bdFpSQLURVstnvFcsD9GpjPyYU/9CM0AjsTR2IQ7F6izNbYzxwYm/HaLYwGhveir7ttO9tS7biuLsXcA3363x5GYbArgNDNIAs/8/pi7jwWoCywdgbJ+upZCUEnqdlzcQxrtnc7icYBToBLiZFSHW9qB9ibps8MivfeQu1pcLqmXhAeKAbbiMwBSjCigJPb8rnvddDTSEIhntDgVQyBaAFAgHuAtiNMYBXukaRK1xgXvcUqqXZ+2FeXrSOTthufWafSrrhQ8SeA7ozHKrhzopfKHH1xGgEhrzzVv6NG1SvPRAWXnVufzNoNU5qOsqSMls9NePed7YKRV4FndIQOKCzB1RAIbcKONbAZCLc5nARxVRA8ryup69VmeO2UqQJ8MWrbZ+j91A51FRv4vVeHfEWaEU7/cD0bnvmvjXOvp2yi65doP3+q/bABCydk6Kcl0WqIL9U1TYtpvFy3RqW8fqXtBOYD93t0v67tXjsw4TSzCqFMVnXKkbvs2lyhgC053s7wV3bj03xOhIh0eZkPdVR56MqJzdEyibOtgJJa4th17i11oV9X5FX3oj+A84T8L35C+2yRKRfqcdre9ZUeQnRoT5JSAWq4Sd0hHnHah1tVtl2anZKXwyX3K1zwhlWdkiexJ03oUabgn2bfOSfwhPZAlP+prXIqZ7GozKUfiJOl0FjT8o2dKhmdVf0zTUW6/OeboplWpT8cytczUkTrRhozTUUPt2+eOwPqnvKVzbNo61sUxuMENbnCD+1VnK/fNHS9m53e39CpDdGiQx9MJRAMAOYZ4kMpq+ZoGA+hPw/Tw8EOA+kl7DMh+fPQuwFoAZUPnB1QBxQBU5+e7Nmix3gAhgBi7gIzdTTt+9HF7efOsff9n/2+A74/aRyeHbXb3XcDMRzQkkDEaQBeJu83zenETYHp5/bodjz5M7/ps8k4AuHO3QQoA8vP2//hn/8f2+Vf/QxYtz+aLdrX+w/ZnP/6vAcBfAXrd8WfZZqP32vH+d9vV4mcAM8DZArADGRNw2Esn4N7eWqAL1+rskF/XSRy2nfG3kR6yN5mSLs2U05TG+5DJV82Ph+7NXrdnL5+3LQjjPUDRHZVeQcD8GOjz11+3m6W7bV0i9w5gfty+fvGinblhAw2cYPMBhMePgl7dAsBXN8iwDcg+aKO7OUDM6UeLNpmN2sHecfvW+3+z/foHf7d9+uR77cMH32sP9j+ETB0AI0YAcYjkpqZFOj1lRPpnV88on4dtSpm+8+ATZDhp090Jsr9oLy6/hNC9znQw1zF9/vz77cXpzwGCl+1i/QLSdtHOVs+zJfnB/iEk9yDbmQucF5vzduu3ZQBZTvOBQ6AbSBOSuC7CD522dsPZ0b6dTAeUMF7fnUK2TtE1wGK9bq9Pn7cpRNCpTDf3X7Xt2x0I3dOMUC1WL9rrxY/a4gpZLiDKl+eQHHuLIdlzwMvtHmABUDw5xM7G5B8iCUh2s4Hx3gEyQsyQzU24XUg/hyQeHZkWgCagRv1D5PPtLMn9OnIJILNj1C1EdvWs3Tjt0lEobPpW0i6IJB3B9IJ7DVK5OzoGAC3b9pq8A/oFd4J6IbIferXnX9DTf6zyBvC7M76HpGJT2R4bU7bsNu4+5rSnA+oaQNCeZ0Gq6Is6amV3Kp0dFwIpd6FbQaKd4oPoVuSAJ6Ga3wyzPBCW8AAr0vfc97ynF5zf25SP085M4vbW1NVLgcJMpcNVL7tkzHTtBKEObE2a3+kSSBZp4t2x6/rDSeJyi/F+m3GT0nk/Z9Jd3zqaeo9+vd6CIPhu2fC+OOdaO9aGkMmRHPTl7n/mL6MsXCmp8pgX1+fYm7/D+2uf99IhNiHRcZrSdHQIEZ06cYz3ShEF14EZT0Z/JDcBnhJVR4wchQCW3rl5xCVXbq6CLWNHjuZJZh3FXGDn18vP2oj3gp0LAedbt7z/BO1ISvw1farAb8gsv91Rb0OaN9jbCl1uohtLlGvlCHlIBKQHMcLGaiShRp78V4qk7NC9sF9y5YiJYUKsA561AcrW8ibfGUXid0bmfMp/WpI6THrahOQhT3GUqb+1ZXVp+Rc45zqtDqG51yWLPyPM/2knatQDWzIhXHQcu1XftBU8tszINXUHHaE7IzMuI4nNEz7TPCG12rLySMZDRDRfvIQM6pMflZb6rhHWImWkG/nJO6RV4Wv6XNVRdVARJEpD8SfxsUT4jUx36jT13rzX9L90BiRrncykrW4kbBRrCO0dv4tgmSbvLu6n3qlvbCbkiLxnswV0VoRR2c279c64uTYMvi2nfm1bSF5UHCEGN7jBDW5wv+TSVH1TN505QjEGeB62y6ur5sdJ56Oj9tGHv8cL+1G+w1HTJFyPQgMHoJnvHbXZ/gMIyRMasGNe39ttBID0hT4GiO9OjgArAOvDd9sXr59nmtn04ceA79P24y/+u3a9/nftnT0Xg/8OIPc/g4CctNnsqE2mgJzJAWB5uy0hIMvlaVsj0z5Adry1X8BstNVGNAw2iPsA76+fftY+v7puRye/237y05+1q+uftEePnMLiSNOavDxsDyEKy9s/JqzTzSBAa7+lYj+fQELAdMUz11oIGL0n6aOxH70PQfkujR0NHRHak+kHAwU6fgvo0fEH7cGB62F+COC7aJfL83YFcN3b32+vXj9rVyu/nn/djifH7WDqDmKr9uOnTyk5G1nipCH+1pO/wzPBu73Ufn8KkgQrvbp6BYCSwElg/qT9wZ/+4/aTZ3/Unp79FBJ4BvGZtccHj9vxbIpuAB9rd7jbbdP5PuTnBaDSOe4QXdJud6P2+NAPyu5lxOjs4iWN7DpT5mxrZ3t7+a7K6u51O198CRk4A4Cj+yXE0a2iaZjTO0/5b20B3JDLtV/TqXpwq2xHfpbtcnFW63Qsn1vyhy6ze9z0UeL32y4Cq4dH7wcUnF68Tu/s+v4zyhsisRo1d4ubj9+B9Ny0K+6fnn3Wzm++JI2rtjV2jdUKuLQHQHfdDPkl/5PpnHys2yk2c3r1sq0gsE5DuuK32467w51bsouFBCmpOCANR1gE5wKa+ljrXTucHpC+oyw7+b7MdPYY2CWwBKBAJm4Ayqsd6sF0q12un7cX2Q1vC90LDgE8lKtA1E0z6mOtHgJy128A75xiBPhxVGs2m1B/nK6lXK6xWXP/IbboTnIPyB/kTUCJXIJRe+bzgdM18mabe4AWhqqsRM6z6k0HkmU6k4Qsm6lw1tbdZKNGgAoo5hUixqKcEBGbF1Cqpeq9D7gL2MULz2sUZ05e7c0HuN47EiVocxG9+TTfwk43VnGBucSL5+I80vGwL8b1/vDm+HVUZrmhVO/8XtUtBBJCLIFwPRf18NZvr0EgAyDDuAST5Ju03E3ODTw2GQWtvB/MTtr++AFWKWlzoxSnT+5hgweENb/qAdK0CwFFHu1RAqrU4s1s437rFtVrytISIxOOGN9BqCS72PG9uzZSh7VFcsC1ZE2CXjZpWOuXEarNEAt1zZnsIoKjCo18QnTJk74so6w1xDZqAw505SgC98x7yFsiM7ygusol8XrwWyIggZCOWCYkQT2F6GZ6qB0cBMZWBP5GZodAwiRiHfckA3ZAoSvfH3741NEcg+YwUiU2fA5//4Ljt6L19/GRsySpAtsp8yai7tzHZ7WUHFofiYe8bGMX1inz1evRjiTXUSVmgls7pXd57+SucRCBBcp1kjYcf9aV6ExbyNk00Tuu/FkPJI51r2InTp5JNJ3WnI+Po89MN7W+W68cObJwidORuMSNK1vVZpWjSwAXmcmwR3UwamcQRmwsW7F7h98rbJ/Q+a0cJmE5qmPfHYMb3OAGN7hfdfUG/obO9TlHR3dtBpFwqtB6edk+/eTvtKPDT9tnX30/jVVeymnsISWHD9r84B0I0ntteT8FjLu99G2bT+2nrZ7HM8D9JYRhs3Qb59N8Mf92a9m+dEe7i3/dnhxtt/nO99rV+WH72i/0rzbt9asFYWhcaGwcOVpy+N0bF1+7BsMPtdYXyCFogsv94/bg+Nvt3XeOIR0/DnHZ3M3bl1/SMLb9NpmP8zHQvb39drvzRwApGr3Vg7ZCph7I2Ows1/ZAX9PgAAO454YV4117yHchhK/aPURka+cJPgmT9T+7AO9LQOw+oP+gLQD2J/MH7XDyXjs9PW+XNy+Q17UOW+01YN0ea3dkm+0cE+89+X/WTle3xEJTvuN3ix7RWo7as9M/hVw9hVRdZs3L8spF8n6s1F7IrXa2/LydbxzV+Ul7dvbn7dX1c+I/b9cLgDWyTSEw9vlfnj4H7wHiBejbd6QJkKXB/vDRryOzxMxd5WiAN/VB2iXk5vTiKboQ4QNMNq8gbjeQLsA7pFQAfn11CjgUcC0JA1htF4CrTVveoFN0fg8YvaexXq6Ij/LOh0MhEzbpO+TZrZHXiwtAvzbi93lW7fHRg3zQ1t0Rl7fPIWvPwTMTyv41we7aFGArEHh1/lm7XD3NFLjjo5OM9hxBoh8AjHcyajQB/AKO3a0M2/vB0z9ufkT36dlP2sXqGXkGSE+P2s3NGeC2tlPOxzmpPW6l7YdvHe1YoROB08neCThlSe0aYY9nkCKvnUJF/imLW8pCUuW9O4hkGzuVTkrhFiHmTxAmyBX0QRwAOG5wccPh1tMFaSCO6Fg+48ikyMxdzEYAopnT/Vzrg62PsbHRSPCl7TvtxxpGHZMYkY9MxxF8aZU8F8z3myWECHrBXf8EhmN0VVNfjQtbEPgSn88FlHaAOAJcYQTIgj3TUuYCfX7fakw9kChlx0plgDT4QVYBqZtK+JX/NeXEIyR76wK8iVnnNNFseJBoBe+uefK7RbeU90W7Xl+j64wxtOuVU84ci0aflJ3lS4mQ5xl2sZ90/WhwabdGMHxbSQKti24wYb0uIqQuJXnT6CHrkwSoZDJlRxSSHtcIuf7Je37bxsX15nO1esnLELtYYjG8K53ylnjJR40y8Bj/GcnI6FLl2JFat2iH5fOsCJLyOoq04d22Jn1HPG9de0ne3CBlYz0lDsvV8nT0pScDlU/fSWUrWaPDfUeFagTGdNWBCiafITwSDUdQJFHJcmcrkjSv0ZvEQcLMgQa45/RJCBa/DdCHydTEX3BvSZZOT8iNDite4/O+AL/yop9ccxWCYny9vZIvfdxSNjUqJlnnTM5VcJG67h7PyKSxJS6vecBFFz83M+LS5wuj7EdFa2SriEsR0apTvrPd3MMI1YLplP6wBkeRsFd3+5SAZ11bRracige5jBAVLrpU5tQxCVTpYcO7tB/JrDT5jV07qul3wGI/0QmvtYx0+u5VxupwcAfR1GF7TAY3uMENbnC/4v5K3o63t6ft4OgMEHkM0Tltn374e+1w7zvtq2d/QmPidqQkQ6OwO97Pupur29ft2fnP28uLryAEz9oaQO83Tia7Ak8I0fXTdvr6h+3SD40CKvYAZK5Renr+o/bzF/+6HR68bPs779O4fLcdH/9m2518BOB63I5H77YffvHT9vL883azhJgAFFwzMSLsaDKHTNgI3kOs5u3k8Fvtw/d/v+0dPwLiX7TzC4gdGMcpSPP5dnv5/BVEiIYMALbe/jMatkm7Pvuw3a2dOkQjBxHaBlRI3vzYYj6sCSkKGXQtFS2TvZGbxXW7unZXs0N08BDw96Bd3bjGxMbSBeBb7SEkze2o99xu/Bggvjpv44P9dnB82C7PnZoICQWY+sHUyYx4t9fta0jMgvykd5EGXWL66bt/o4FP22Zr0fZPPmoH898izodpCF1LIOBbrL+CnEHoAJ+T3T2AIkBre9aOTr7TZpA0vxPz6+/9NXS+13ZpnPutdv2g5wFxnczfbQeHJ6R3ntGE8c6DNMZXi2fEdQGQnKdnfbxNWW+c/37XbtavSPcM4HpFWQF81xeA0WuI58P24bvfAyCcoDeRPnnBXtq9O2uN0Q2AYYJOt28hyBAsAIBThgI+ICr7e+hqARkjreX9aVttPw1YPL98jp0BlwFA8/HDxGue92bHIeduQe324lNHAHaW6Mi1Tq/bFPs82H+3ffXiT9uff/6v27/4t/+onS+etpXTeviTIAVkCiK555Q8YfSTIz+mO8V+IPkA6f1uc4oNYMhvN13dfAmApawFMQD/DSDLhew+E4ALvla5L2AftalbzAcwC9LuCmhjh+p5DYlzWqIjPTVlbREbpYjReWtzQNscEGvZmH+MHoIkqZHgaJOeXS9C1OTFURvXRjlFVjCYfAVavkFpHciTtAHe+Jn1UMRdHxKt5+XegsR748M2ay2V9QFLstOA/BlbEV2nbNVGEU75E/TdAdxEceZfEDoeO7UpQRL/28QkR8QzBmhOH7Xp7D3eER9TDt+C0Dwmnf2QoNObr9sF7wIkkTJgh3bGSI4EvpLvHd4VlCt2HrvSvvSL7G7jLpgWeJond2FzA5psAR5wit4FvByph6JP5FRu1166lT9vR0R1JNDyd4OE16Qh+XH9k1viY98Eu9vSxhzyMH++pyQ16kGAL8CWeFGWvHPcXMPfNdogcJZ072A/TpczlxBuyRFpWpbarjJZ9saZQ9nxr2pD4nhm+qZX5KhIQLamN6+WZfKoP8mF5LjsM2kQLvXC8kcs/ak7JfSy/rO5KZLgrzrMn+eKLQ2SgfxFXF5ndNPbpm+Z4AwXWTl0Jbf+63eVn2WmjVe+epcpndofNizpDNEhxmjKeNw1j3NIEP5j0xwlbxHGPj7PRZANWz6UQ3t+myb3CWO6qcuWhXFTTzOKZAeanQ3WWetI1jLiuuAhcikptGMavJerLGx7fQdon5aRdQ474h2a6cGbRWzVkjEqRChdm1+jqVQGN7jBDW5wf4lLe/RN3XRij/lRGqUHD74FyPyt9mc/+Ke8fpftAeDRBtFvIrl18c3yeXvx8kdtsXqZXdH8aOOMBno6KvC2zcv9bglYJeze5KidHDxpn7z7W20+229fP/tDGvNn7fH+r7Xp9nfbeP5J2977qE0A7U8XizZxUfSzRfuzn/4ZQGgFuDqClB2114Dzzy9+3K62r9vzyy8B+Aft5J1fg6T9tP3g5/+yffjk19o7R6P2L/7b/1ObAHpnu4/au48+zNqYp1+8bNcXrb1+RUYBXWpMguRCf6flXF1/2VarU8jhPg2588drzcpodxww5YLtnQbo8mOjdxMaJkGVvd0A5+uXgDg3Zli1q+ULSMAP2xIgv17etGcvvmjHR9+CCCzwv2gHNJpuuewyGknCePemPT09BxghF/p1Dc2XX/95dHh99Vl7dPTd9r/+X/wf2u//zf9de3z0PXT5GOL3CLDvuizjdIMEABx52T94L8D1fPG8Pbv4rF2tz9s7j36jPT7+OGuY7HkXrAukP333d9GrC47v26uzn6MHiFcWPEMWdmisIXx+9NW2d2/2JET1ZgXRhfz6PL2w+HeDAddMnTx42N5579cDEBzFUXf5mOHtHHuatSVE42bpluQCSUcV1KMgxl5Rwc5Wu4TcChrvRq8Ditdr0gdoSswFDG44cXPtVEN3T7yDeL4LmIawUtajCWBl94o4zyLbjfFDmP/gT/5x+/LVv29nF1+3HWzI6Y8ryrtAJn+UY9aHAGwty2b+ZB3Ev9DWydtCwA9QdWdDrkKA1rcAnS3A+8oP+DbOd5TJfbtGNcbkN4T2sCXJ/Ba6CBk3LwA0R0vs8G7b5r02wiigDpilPCYU50w//M7oDnYRgET8gYASap8RR02bEyUZB/ILiqm/ITfkS/gkSfFsYQrGHL0heOJ1NAXvBCMMIK0+2onXhEAy4jEudeUHRt0kYgxRkxCoQ30JP10bsrPlGhdJocDW0R13LeSZAJ2/eI8MucBJjkbpkJnPPsbOvtMOeBcc7L8P6X6Xe9r6Oxk9W2789s+S98GyXa6uKV/KhfjdVdHd8NZucsL7QdvYn72LrV5TbheUBHknYdf7uBuhH+j0e0gZfXJr+Fun7K2jwwKenWx2ykicJeiWG3YisXWK32Zz3jbULdciLSWl95fkaYkcvB94d21Tdk433h0dxW6MOJ0bFHp6+0OQnJol8VI3Jkzd41mNJnGPOu1Ho512qL1tupED5QtBVl6uIy/PtYt8o6x7no/PhhhUfhKWP8va4rUM+p3ZanQjpY0cPiv7SdT8F/tAR075UjrtBsvDq2k4ajLDY5GzTG3DAOwM6mWMXXuddA0vkS6y0tumW++HNGmYhC9SUmfJ00b79JlpVwaSn4wcpTL5vlHOsi+fmpb1ppcj4dWu6k69L7JkQGVPmonbmH0X+lC/ZcPWu/zmbxdS5Dbp/tJlk5IdfnN21Ku2/FZPykKU5E29ZZMQgiiLI9H9B2PtJFG20r0dMP1oke8e3xF2eEik+A95eKVQH5W7EzlPBze4wQ1ucL/sfBN/Y3d7+06bTL8LML1qe/Or9u/+zf8LoHvZxrMHvPdnbbUAmNy4U9h5u3OHNFsaG1oax/nuFPDvNsQNoAII4QW/AqT4wcnxeJ7G361LFzc3EKl5O7j/BPL0UZtOP2qvbzbtR1/9Wfv8S4Ds2Z+3n1z/rP3ut/fa+0f4gcC4nfXe/AHgc9F+8NWfth9+/W/a+dIRgU37H37wL9tieda+9e6vA7aO2scffqtdXPxxWwLojw8OAe537YMPIF2jnfbVZ2MaqpP0LtN+0ZBtZ5ez1fKUhsZ1NAc0NNWjng/40WBNplttOh+jG9eU2LI5/eEWkN3a9eK8XbsRA3m/gThdXAsyHgE6nwBwP24Hs0+J67JdXD4HLDnVbreNicPG19GOgz13Q7rMlEUX7Pv9k7Pz5+3i5ut2hX4P5u+1n372L9p/89//nyFhTyFLH7aP3/trFPYE3S7QJ40uenV609HhR2lcX55+DjmtDyZ+8fI/tO//9J+105un7Xq1as+vnrXN9goC9ay9d/Lbbb7zsO3vHWRDhdPzp8jttEHyd+fW1gvhUshMgzz4kdDVAiBo470EdHSAaOIak826FshvLSmvDwLmxvMVfgUGu+3Fi5eU+zLkc3f7GPAAaTJeWnWnuDlKMUM/56+dUjdrt9t+nBhwC0IJyOWcDysCFNy0ww/DXpOH6/tXGX2SFDyGHI5279rD43F7cLDfzm6+aK+vP8NOfhIQAr4iHmwTvUpG3M0wYE4g7BQoZHZtk+CF4mlnq4v2+eWzdmoPLs/u8CdIFzBm4TX5Wq8dNcG276ZcQ5IglPbzrknH6WdO47PcR7v2LAvg0rdNGHvDAeuQOMHPLWen8Ti9TzDmls5j7HUCeXBtT8B51/sv2JP4aJ+C1skEwB0AT9yWDbYtsBJwOZqUHdB8JqDUfn1VAIgFfPaWRy7OPRhUvByeuG94w3o4AlDfVHLkqa4DJrXB7j2AohIcDREv+aSurGGQkm3T6Hey8xDcjkYnkPOPITWfcLwfmz+cf9D2Oc+m77X55Embjh+ij0PqLXGR5xV5v1xeQZQuec9sICmbbgokNkcBbu/sIc6mvbj4aUiagDlljkwpO3QTPTqNzd0BBaESAMpLyX3i6IL11GmI9vxzW40Q1pFPtyLvCYSPKDuIkFMFtaFbR3xQsyDZj0i79X50SDqBzAQqAM8RwFzAOgc+co+wjmy7Y6QSSZJMi0uemUdkE5An3iq0IgAF9kv+CpA3jnESQe6bbmRQSIhA0tevUnVAnbPlxUXK0RGO2lreMylafuhnq+1TNo+o949JY8oBCeA9n1QJG3FtJ4yKCLVB31O6zcaRPuuiRN50HEWxjCwpfuPftCXtmapp2toseUmZWqFNhzQTN/nZycgmNgoBralwEiNtmDRIt+qAOTcew/sOrevIzfO39cSzzvzij3yn/EjP9ZKWU+pA/Js/zuqVOqDsSpQjisQbz6w76sZ0e5uLbolfb5IjbSl1nHNGlFLfLZfSZ+lAvdZv61iV/eAGN7jBDe6XXbVA39Cdnh3ywv2kLVZfAtD/aXvy/lft4GjSrq+uALinNIQ2PNWDPHfR884Bjdc2v/fblPfz0aRrzGn0XKhvb95k8oiYpwCH2/bi/AtA5k5759Gn7f13PqHxeNB+8vSz9v0f/cv24vm/bVeX34ew/KzdbM7bav4S0iMgtCFZAKCPaSRvAsTPwLG3zZ3gXgI+N+1w3wZr1cYTt/r+pH3y4e+3JWEePAHI7H7Rzs+3A84lOk+/viENGxwbFAiSRM4eYRqj6fQoDZZjAJOJU/q2IRYv2gbCeHd/AxF7Wc+mgvwRwG2SESinGO1NH3FvCgRCJ/cn5O2kjWZH7WTvQxr9G4DgpI22H7VL/Dq1pd2P28H+EfFfEM+y3dzb433eLgH+ki13A9tCv7vjw3Z98/P248/+eTu7/Bl5nBMXz+4pi91x20H3s8PHtJoQsVMAIYTC6R+zkUBI4vUKvT5tszHklbJzU4ar1VWbAr7fP/lN8uzC6y3S9AOdCxrjArYCFxt5LcuG+snJdwP0bleOXNirbi/pOFP51M3F1c8gLp+TL4HFvO3tHfJ8B6J1gw3NiAaKs0APhDEep2YZORCIBFbIaz4hnBApNzW423LN1jLruLLFMjIIbgXjWdt05/q2z7MD3GTqWh13ybsijyfk74t8V+p2e0EZOB3xJcANIIGujTugTBAL6dne3rRdwLTrsZyiBcrnd6M8xxDya8hOgTcduCjrXLYh7Hfo352kdsm/pFpw5giMfrZ2H2M7J8l/1iKYywAeR/AknMgQAiiZEVwv8UsCgiv0ZxlPJvvY9gQ5ANeQ4cnurlaDH2uYcju6Yzh+A+4KiqFLngs4C2jVOT3lHegT1AqrApD1ThHXhg7eMwGvvF+AW5LVTzNSNqcyCQ53XRtFWXrIKEOOMvxBmXKIedcbZBTXJV8Cu0pPZ2eJu/SNx+9SNyFGs/fa8fz9dgRJOuY4mn+Ye/uSJOrWfPpudO20RPOnTCvK8XrJOwEbu96ctavlBeUFkOa59VP8vFied2Ree/VbQhBCuTmCOIKjOJU/SYEg2nx2QqpP7gbuoxTPBshIh4CaemZd86YdC9YDp0m6I+SS+uQaJb+f5KYrkvEAbg9ikrBbBpaH7486A7ZNhbrhEYKlvpFTQqTt29EkkcpW3cmTZ8J4KB/Oeqs9xFZIN+UosexGzvJB1KYusCQF6cKbFYm2IxvmPaDdmFJ+kt3qHIqu0JkAX9u9R7+72xBB13OlfrvlODWCoySylhMTSgzhUX84086U0BSI5KhsVb8K0xeDJ/MkeULClGUf1ybEuysz/+kv09HKrm+xEeOMsSc08SZfhnsbtj+KIFUHQqWlXqzdEcnQlU5i867vcs7oQF+G1SVJPGXkSf1yTvFbfMSXtCXmqf++B5we6/o67NtNQKi7mcaLztVP8kCIkKLI0cnzC3oa3OAGN7jB/aqrt/I3dIfzbxHRYwDG63zMc//o5+3m5qt2+uw5jT4NjW9l/lutV23By3wJmXDh/3hnr7376KOMhPj29lXuzmL2fm9PHwDSF+1i+by9OvsJAHPR9tylbrbfzrn/1dnPITPPABau7zkHMEFmxuP23sP/ss0A4pM1oHZNg0d8+6OPAqxut67b9fUF5GTajo5+o22P3OHroi2uv6AJWbSHj36jvT591V5f3rSz1/vt9ubAtgUitY9/QNON3xlyE4ZZAS4a58nUkRS/Uu83T5yqBMhv7wNQf63tjR8B1I4BrQfNXesWCz/2CmmicV8sHZ0AsAqYeeZoSL6RQxSL6wW6gmiNHwJw9khn3k43220jeNsC/M6PARKTxOlHJ6+uX2W0re240NoRBxrrbeTYf8K92+wqd37+tK1vriEae+lVf/zgO4DEs/bZ0+/z/AVySyoB0wCrbB5A3iSWQsEDQPfJ4RMa16321cXP25NH34U4TNrR4cNqmBF6On5AmR5Bwty22Gk+K8rrcRph8yrov18CBkhnFwQ6Iq201g2w3lbt5uoM4vXbxHFI3l9RRgAMPBwQ3x2Ex4+nZioYDfsO+ndKlruCHU5PILfvQ7Q2hIPMUOaCO6c3GuYWYNavIZFQHQKcFzdn7fDhcXZIdAt1R11CyjBAdbqLfpwC5NbijhDdLC8hS67VgWxhz+pBMCemyYdA786xOX8gABkuYAQ4FYDgybJy7YgjeM1tMChnd/MTyGSKkTlFZ8eH1gWIG0R2NpJAWiwCVSAR/p1eGAAk8NFmjJ+wglGE4N8iuEvy48ieANv65FoYdal/j/S4o1NHM6TdTm2q9UzapD3TniuvBVEJRz7yoeNOps3aby45HQin7XAKCOSZYfKHrOoq07b4Cwh2vQW6wLAJI0hXj+pll3QNbi/6FnkRyBo5TgH8j0TcTGB39LDNZo+oY+9xPIYEPeT8oO17b/Kw7U/eyf0DyNHe5BH+jwnrGrEl4e2scXt0p6VBbteXOZaUr2vkBO1TN3RBZuUXqAbCZlqZBI4yVidkvKZ5FQn0Xu4H/Ndh/FEQelM3UiZd3nExnp6koj9tBp3Ux3vRIOXALeJG7/grMsA/lCRxiYVJiJKAdVcbVs/EazgTwqaUnhBKVr/x4/pJ34f9NDNBuGnpfIe5qYgEOfkhLadHxya49vtfEh/jMSFz5UYuiQqSZNrqKSSOSGO/2mt0VEQuZIf3w70j1q6hI1w2vTH/1G9OqVvqISnYEeFoDfesC7YXEgA3YOBf9GhZWE52NpQFGl7t9MrgP2XISTJHePXCY9/j2UGRP2cGFCmxw8D3hrZtyVlGhjVNy50UeCbhMz7TsQzNcxLxf0dgt5TH0ebc4eAqNk/5Od1UW7RM3mRaDREPGTOMU6HVp3I4IlQjRL3dWU5u8EE7wD31HN1aB61Hjiznz3rjWjPlM5d4Jx92hJWiBje4wQ1ucL/s6o38Dd0UYHJ5fdquLngJT0aZenZy+BRiMuW9TeMhmuC1vAKg1ILw2zamtXl//2G7lgSt72jceIPvbrf53rvtk4//K97oe+3y5mX7/Ks/4vqrdrB3ltGLq5tVe3V5yT3gJiDaXdHc2SvAlcbkYPSgvbv3rXYEWHfXuhWE7HB/jzaEho125fh4r73z5D1AsVOYHrabxTqL+icQrPl8DfC6bz/5AcDpZgJ23bSd8VZGm06Opu3Rw0c0WALUBWRwFXK0u33U7tbEvYIAAdLvAIELG1YacHtuszAdsJ0GyakyW4DcdoHsgoXWLi783o5ER/AJvAH07M3dVQ0iBgh3I4XFaqtdAeDOrsg3cW3vTtM77g5qx3uHGZkTMM53T9AiQI4GO2s+JhK5q3Zx/RoQc9suLk9JY7cd7b1Pfg+bH+91TfwH7/8t0nXKl0BB0Fa90IvVBeTglHy4XmlMA7vTzm9eEd9Fe//4r2eN0hTyV1NNbGnNo4B4nPK4Wb9oL15/BhFzLnw1yHpzyqF24Hdz3J7ZXQd3Rrvt1emXkJcL4lpl5EZCMUKWQwkRgGbttDmIKZABkOmOWxtI5Kh98uHvAVzdztnpa8RHGo5ULDbXYhFA320T1kp27tze+s61Rhft5OQD8vgSXbueDEuCyI3HJyF5WfxP3KPJDuTLHRFvAIE1rSxALusGuBZ4oNvRzopn7tBXIwuC1wAZ9GuZjNJL7uYV2AN3XEMlKHT3xm3KbzI9JC0/ICzQhQTw5zofR9wENJn2Zq82AMiRIHuLnf50f4cebimv5sdOj8nnJUD/DL83hHV8wapiNSccsococZacOTrhB57zWDAnuBJgIregXeDndUGqwDVOBXodjQkwDAgtwMV/XhVwtBDwH9BOvdQetSM7LPxIMP8RF/nbmUQ/btag/Qf05ijk1kdrOk6D2hn5AdcHkJ/HEKIHEGmO8TGk0o/47nHeC8GZTg4pVzfPeMh744R6dERsNQ028XBkO22kdyrl9epVO736uvkh47sAcuUDuGpAnfxhAchoz7/k4i1wVQ/qTIAqcXV0w558AbYkMTnhXOu/shMhNmOdcX2S7wWndhWh8D1mfAJxCSpxBvyajnEQE3nAA3Eog/pHHq5DuvhtiZE6uuZ3Zz/lBMhFarJNt5XM8Amnnk0LotARZUd6AvIB4BttG9kKfCemxJcREEdCcJGPuHzmn/56/xWiwH6XWGxYcK99ummKG1v4bvAvxDT5sz4jB7rQhmOL/sM8jNc01U/ZaunI6Zi2BSEJeiK5fnT0jT5TVmVjEUf9IqsdLJJgp83Fpg0RW69w/tZVmsZXciVX8V51AqlSD/Sf39zPyBky5J7lFTssndRBWRFHRp/Iv0XkWeKlrBLu1EfeL31+Tc866/vLDybHNkydc8gkZ0fkdJ6t68qDlxy5HtzgBje4wf2Kq5btG7qrmxcZodis9gEovwOecGeep+2dD17T4Ni4+H0gp+PQnLhFNADkBJDzDgTjbPEFUox4sdvIj9rJw0+zKN6pdjcCewD+3t55e3QIAOL5xdUVgFtwKECeZBSIlrT50Uvf/vcA2QlgcQ/gZK+9Db7bWB+dnLSHj/YgYI9pFfwg67Itrm1c9tvjh7/eHjz4IADg+EEDKF9kM4Ot6aZN5tO2f/SgjacnAGanf+2284uXtiwAMUAXjcyYRm4KSBshy/X1OaTvrF07xQvgZd4ns+12cvwkZAmoyz3JwYI4bLRv2+XlK347RY8GjLz44b8J5Gc+BSgDll0QfXvnwv19wu6TH/IueNuGcN1CCjZAD0D98aFz+p2qh543TtdZdBtF+PsWPT5qx0cfkibE7OoVJO0QoIQ/wPonH/8d5H+CX6Sg8RZMbtGAv7qAtPhhXOR1gf3DfXcLPG6P9j5oR/OTfFjTKWf2zuv8ar3rh3Tn1z9vF4tnQAUbZgFBAXRBj1OanHblFt8SaL/ndAOBm04B0gBmdyE7OHwPYLZNnpyGI9CGGKwgifm+jbHetiW6ltBMJhPyiAkA+kbjFcB4zLOrdouOXFBv2k4FlJiNAeiXN253/sOMvO1sz9GDW4+jU9ehoJ8JpEUA7UiDZVK7lyF/wDLEiWeSIz/sOZ+NIGbnxAFQCUBxEwMXoUtwAOLY2+69W577vSk/Ogp4Q9gdysX43F59Trm5ecYSvWwRf6ZBYuOOuOy6zXo0J2grQBMyQ1KObOxszbG/R+RvBzkEVtvtcO8hpACbwUAFmJJDAbojjMblSITAXGDvt3qcHlg6VSa8d+ArBt7hqQJ6gERsRhDpuiVUg3/Kj7zwMGeBoocEzhFJe8olQpJu649ejcvduiSyTr3LNt3krYsmzwPwlNosyywkl7sP6uO8o0cQoyPy7TuniNHEbeqxG8noaHtGObvNuSOmTjt0W/ER8UZ7iT/gkwwo34h4SDZ2frV8HTBKKeLHNInPOC07zlvN8nB75poeJqANYJWGd3U6wJ2zwNZDcCqnNhvNjyRv3XBPsCtgdkSydqbbDiHpwLwAPAoRa0vsjU9ilQLisC5RL6wbUuF4RYfEc8d9SR4plAxm24IsBUQeRzEMm2vvkzY5yXP9OlJVI0eOKjolrvJVRCw1mfCOrPFuR5b6flMXVuPsiKR1X7t1alyRF5sdJZVM+M5Aesq/CB/lwXXSwI/paQVvSWLZfeoBv2Ov/MVeOr1nNCbSKafeHDF150tJ3gJRJcClh8RHPBqs6aiDTNUlEeP0uTKWv44kadykYxmFPFlWaFp5dSlD7juq4xG9JW7Jlh9+rnahtss3n8rSy+O56nlfj6ID0vdw5Ct1kBita4penQr66w6vu7icrm69KmeElVKXfZ7jeXCDG9zgBvcrzrfzN3ZuznB29uN2sH/Yrs4+BZj95wCNJ21y+LIdPIAQ7fpBSwDMGLBBo38C4PA7RU9v/qitVvdtDrlwO1YbyQdH300DeHH1FQ3zpu0dz0nhPYDQt4kT4MCfPeO+5p0KddeOaJgfcRySzl7IzWJFA2eDa68k4PnB4w/a4fGHNArHNJIt06X8COhqcdVODt9p737wfhYzLwCX8/0H7ejRrL0+c7rNu+3R0d8HfP8tSM630vDu7R+3KYDYbxx9/M7fbQ8Pfot4D0nroB0dfkDeZwDHDaB3n9ZnJ4DAnmd3r9uFJDrlYnvXxhYCuDgnvj0AAeAdgufi/AIhNoQ2XAWcxoDCewC207NGu48hbw0i8ST5EZD7TSU/Vuuo0GR+HEBZvYcAMQhGxbHXHj36JITjZbZY/0H74tkfAyr328Xly3Z28aJ9/K3/nHy+SzhALCB+N98RWrZnL3/Ybvyu1O1lO4dYrLbc9euq3a0v0uub6WZkU0A/k0RyVnZ36bpZuLaJuATDY88CMgCcjTY69HtNbmbg1tE7Ezd6cORDMD1uV5eLtr9/QLzTNoMoCO2doudUudvbC/Qo2KGcAKYH+ycZjXF9z3h8S36NXz06/eQacg1A8hr9++js4nOAyqI9Ovm4zedPslnFLTpzGpEkIj275OvOj0xydiQ0oMkqIwDBb0CvBIqztppyBhSGRBHGfAT4Irk9u9vkeYfngbOCL4DVGEK5NznkntuaA7gIe889Ow2yUQPkbcLhmhKray3uJj5iFdLVWoKt1JeLG8gjuhKwZr0WaQvQHM3UtiQ0KIS0iYdDwOdUHTPkdECJTt87TfScC3Dm4K9GEASqtbGAIyQ8JLzSeBK0RTn89o6yETtp1QYC6qoIXFyCAortBNjeI2+OtFYYnfLED/FkGlLz+0lHsdmx65AgKBk1gvxIhEaQ2/rOmaRRQi3QlmSqP4mwnSrKJ8mofKlP43bjmF3IknXc6Vbq2I0SHHmaWq+If296mPScFrXDeyXrqpKWpF5R1Q/x88tT8sEh0Da9kCOc+L12GMPud0YhdtQen0SmEE7KVTAeUiEARq+WR4iC1/iueIuEEIBwyt/dIz7DCeB9l1QZppRSVy2fhI9/4+KpOnHjkXTiCMR9fxB+vcyIZ4hA4iJbxG0s9V2qSp9CNvo895nOuhSwTyKxogTWQ5FG/1LmeJfq2PGT/GRUyhDklz9DZKOTLi/Wsbqp7NgVv0PK4oys7Myk1Jcje7d2THEuGzBu7muvXBlS264phh0xjfOs3OVPuUO41Es3Qqj/bEpCsuYTpfiW4JmyenQEif99Tzhl0SmCFSc6wvZyWG6GVyv9tXL25Uf+3sSVsFVXUtsMhqv6U/fVh4edZdEJPlP/8su4829wgxvc4Ab3l7gOqXwz5/a16/Xzdrg3bycHD9rF8wdte/lftc3qr0NM5pnilm+x2N282W4f7L4DmHvRvjxftE8++Qdtd4Z/2zsB4u11e336s7Z2Qf3OAuB63R4dP2pn55v26mIR8oNXwMpB++DhJyEq55frNtl/D6w1bs9vnrUzCNs55MO55YIfoAYAEKB6fwgY/bAdzN0K+LA9efw+xx7gsbXlYh2AtTf99fbBO5+msVpcn7fLy8/b7eoLMDnEYP2snV78iHTu2t7eO+2Lp38mjmqPHv6N9q33/4v26Qf/oP3at/9XyPtpm+6OISx7Wax/BwgUeAoiRiN7SRcAs1vI3Kt2dXMWkLTrup8lDThAxEY7IyzIPhn5XaFap7EN+bK3+8HhcZtNJISSoWk72n83H5u9gbA49c/tqEmKuASzNqo7GVlaLNft9euvHEwgf4LZ23Zx/rLN947aNXK8unraHr/zO8h4QjyABVpZe5klRVeLl9y7aM8lVqffb+fXX2I8rvtx9y2yRn53HY0BQNqzfg9otGEmeNsAsNYLN5Bwm2LBPXmFvNhQO11NeZT3buR6H4gP/rSVm5uLgIIHh4/bg/2HbbYrkMYv/21DrCQ4qztJ2Gmb7R2gn5qSw0NIxV3zI/HqQqDiN2ccLXFK0wSiuly9akcHJ5DdfdK8aXuzdyKX4FQwLLkSaARM88RvOxUYFowpn98Wgshwnek2pCmJkQz6LaiAZ+WlbAUvBXDJMP6Qnngs81GbT/YzrUfU6sYMfgflzW5klLnfSHF0VbIVhZEvkZhgMqDQkZx7yTy30f16c4inCekBwLhSfxL2zapGfGq3utsQA2UVBDuSVDvzmQS6IjJ7wRVDnQjkJEXWp74HO3nmMJGIhf8c2oxxeI//C+jpzfu5w29JiZ0FAmIKFBsImQwhLxcAF9RHOPWNnWc0hzKohf2QxxySnwlkyWe7/OaMzi2rxIXtOx3T6aqOBNl7oIkkBeI3iSIG5NO7yJPpgMST76eFeEFgJFsQuJ2xU3PdcMMOi0jJScJvuSirwDQ8NOnHhIjfbOq3JwU6de9aHKdUpnzNK88l2cal3WbhPefYT2Lk7O/Ua/UvweWae4JoO0YKRLumiveJZccv6yhBOIjfSokIBcxLD0nb8sO+6p5p9YTYPHG2A4f3wu1akC85sJwtU9fVSQqVy7CWOWnwDHHix/TVb7aK58K0cweiLVHMKKchsA3vSIYkXsoWcsAvO9GUyhizHo40TD0bv3gdgltH0jeOFICjQlfUletKh7wkeh+Zet7RyMCf+vMd6q6H3i/dJEU8a/NI4KFfOxcoPzu7PCSQ2bHPMiGYYY3PxPQrOXLKYsoQP5IsPFT+zGDnzJc6C8HpZPK5+jU/jrZbHr6jDVbktgubiPhdyUZfdgp6+O01n8d/9K58CTa4wQ1ucIP7JWcr9Y3dFiB1Ot1ur85/1h4+fKd99/3faHMIyd3lYRvfv98O548CWm7Xq/bB4YfteDKBoPjR0++28fgxwB1QzMv68vqL9tnX/6pd+d0c0O1470U7nN63HUDg2flTyMkrGma3571uF5fP2jmA3mlO+/ODdnkFsYIcPb963l5fngF6r9PQBcyBVqbTWhB7fzfKwu2Tg4/a/v4R6R818HG7WF6GBJyd/VlbLZ+3g/177r9qz1/8W0jMn7Xr9Z9DWp63xeZlGq/55BiCc9p+8rN/A9n7Etmfty9ffL+9evonNMTnEIaDtnfwreZufNlu1mEfwJotnR+/dCG+hw23AMHNFFBRQMji5poGzoZfoOc6JgAlINHv+9hbfbR3EnAviLttB23kx2evLtrp+fNaK4Pf6p0URJDfvYdptBfIu3Z6GgDI3vTpeApZPCQfr9vx0WPK54Z4XrXjk28hy1Ea4exAReO/dt0V59XdWTu7+gJ9XLRbZLltjpQoX02RWeHfufVu5O0oxvHBMWennPncqZbVoBcgEYBJ5Cx9iMGdeTS8BAIyCKk+efAtyluyPG0n04dtTIEHHJEH43Db8vOLF+htizI5CikVhLjD4B4k2Pn5Atv7jcDtkrgXGcUajfymlNM+AdCE2dk9zAhnNjTYLdTgGiHzljV06DSg656w+LfqZB1B6HqRGcsoC/sBedAlwkKgOKfnW6CKLGQ2AIeY2y62iNJjo5azo1GOXIlx3C2sdu0rkO5om6A/vetJ3TTJl7oggGvIttoeZTUi75QDdmRvuEA9wDIg0R3J/ICk06UAt+THtDIyhAwFij2ETpIkLD3AS8An+BWQ8VyAlT/l1CaLUIV0+5y4MyKljkRp+u0Bq/f4PxrGLgJy0bHEMCNJ6Feb6Allpl1hG1utvptT6+PwHxLkBhSu73K0CMLHM2pLnSWg2iTpRVrS7sGueTX+kLyIIbg2zhq9CPmVEBPezUiKvGGP6Hg8OmizKbYiMaM8tJ8eBNuZYF5DMEIyUt1z9E4bkXir24zEpQyAz45aeR97Kdksl6iy4lDz6h+Z06PAURtp6LcS6EcMak2Kuy76TSmBeeVV23SanvFGF8oXDXAjZYym0olQIyPKk7UtPAo2x19t5FGjHwXszaf1yDV3BeTrHnZqXsmRZ6dSatOObCXhHNqU7wHLoeRTTpQX+UpGyWcUkDB1aTp1SBo8+8y6mvpq3NhjpsqZZ0lMViHqzwgIk3pnHbAsTK+awi4ZniFH0lE3ddR1F4e/e5mpa1l/6DRE8+RTZerec+50qt51/ShR9JeyQ8+ESlb9r3OGr7wpSy+HNkN93li+llPJ/4vh/lJHHClDDqNxJNPZkPm+mpkd3OAGN7jB/YqrVuEbOntmBdy37bp99fpP2mbkmptP25P9kzZeAwBcGM/hQuxzgPzl3VU7evAb+Q7J16/+B4D2GY1YgQV3ZHPK3vb2VTuYjtr+5CFx04DSkN4sn7ablV9svQOkAogmd4AUM7GVUQanquw2gKLbmS2u247rb2gkXXtydfOaRoJGZb1pU4jKweiY623I0ATyAqC8cTvuUxqy64CA3TEgi3yMJodtZ7zfXLidOey3uyF65xc/RAanD96287On+cDt0c5WO9q+blfnn7enL/4kW4u7mcJs9ATZ3ODBdQ5OfdlAkmbtYO+dNISuVRIUeT8YS9AACHGhvb2OgiUBnIRmb3bA9YgGE9CxvdemkILF4jIkx95ft3p2tMlea4HJfPogcSxWfqvHDSfGgAMaXFDSfLLXHh4hG/euIHh+qPX29gaSdd4ePvgE8HlC2R4gixsVvEpjbjnUBgU77Rpy4qYI24BXAWR2KVxdcG/RRlvItnUE79tpe5LBrSmHoyk29GQxQE3QQoYBxVsNMpB1ImPCQ+au79viCvKoTiBM2or91Y+PPmpT4nMEQnsRUl7dnGY63u72ATpCz9jACqAHQg5QdqTBnmtBglP98uFSwvp9LstyNj3h2X3bg2hPZ2bNbbC7kaKAbMkYYALgZ97VnwQlmwsAyDIaQrYEMQFMnAu0FbgRxDoFx/VPAqlt/GwLiDugWYBJ/4LHIkI1TQzCBjnaHe0js3WsRk1ClJBPACt52Nk+RI0Izq8V8a6d2plDPQswAVVk3u2t+w9MejgKUMDQtAVhrkdCCo0QeTxJely072ij67sEgNzRlCoc9ZYUeM5BmeovPe3k1ziiGG1R3/yu0ZTq5Rf8Bq1x7XoZ3w/mTVKWoIQRVGtfrvtx9z/zXEeijPy8CdCcejMObammXEWX6jTlglyBrpy1De1QcBky05FfIrXMBfNZc+Q6MuqG5etUSTtYJK2OMDpK6MiVo4aqQrtVfkmWru/VfztC4z0BrjKoU0lxETnrnETB8pX0pm445GIYcqBsRbJrWlfWKAn6yVNguvkj3iI/kCLLmSP33N0wYFow76G9SRo7FXJdOhAsS1Yoz24DiTxWdDxWHix5bdu4K/4cGR7ieexR2+FafSZuysDRVOs+ZWmZOP2tytdykTxIYqo8Yl0RrotD7XKONNzr61WNQOEiF6lSho7I5i75lKzUhhnoSzsnnD5jj8mDdqqNUg48yLTGlFmVmzlVPm03v0k2JluRRI+58gEVTHsPceRs3O7sVxsSOa2P+5WDN86aZKRFfNRjlY35D8nNs7f5Td3JYZ3WT703LMs6l2y9ren065Fb/eGJG1X9DPfW/+AGN7jBDe6t61qZb+ZsAJ1eZXSn51+2569/1DY0sH5bZg7I2KKxdget1WarQX/aq9trgMX7gFnIya1ToGzsa5G/72vXj4x3AfDjI8I5wuHi6TNAZn1XyEbMXnCnWPlV8Lu2aC/Of04je9tmk+P2ZPakHQFYpk7tAjw7orC3dwQQdv3CIaTrSXty+FE7mJ9ADF60V2c/apcXP6PR2LSD/e+2yfQhsh+3w/l7yOlowQ0tzQIgYA/zCP6CQE6pAGyOBe/r1/mW0EgSQou0uD0nzKJdX3/WLhZfQayuAFuTdrj3cTs6+B7Xj5BVILKNDvw2jjoEeAPi3WxglHU6TpUjz2sad0Ek8frR1TkIXkDnehl7ui+vLtvp5fN2CsEBFlVjTKMpQJ76oV5AQz5yaqMtQ0B3s6lE4ggQeICcABSI2HJ5lo/XzqauWykg9+DkY/T2BJ08wV811AJBF8fvQkbtqZ5CoCYjiDAkWdDkIug7N0OAEDuisXU/bscHD9rx3gP0fpBd6YRRTv2yobfRr1ERRwPmbQJxNN7Fjdtvr9qrU8oFUOUmBvtH7yPfO+3JEXKN3YTD9SCATDdmAHv5gWFB6u72w3YHoF1iV9kWmuuM+mzNsRkMjDQliAJ/ydx0dtiu/YAxdrdYnSKXORWcCBixXYf2IrPAynBEcYuNugYGwiLB874gq0CzI0dOkRGwFjh1YbajOm8WilP+gkP1mjj5A+rUIcgX+KBysacL4d1wxJEMyWpGCPEpsMx0NdLs4B/16Y40LGf0jH/X4fULtck2cvRgWYBVZer9csQCaBI8hfQYvzJGVuuo+rDcBOgCdWwqysCv5cizREb6W9ihBBDPPMafxESQqO71RyIhoZ6pQ/2GAdp0wLGxGZ1+kzdjF1A7IkapaOfqrQorpC47oAX0eaeTp/+NrJKjkpl8GTOPtcGKP6IRXnJVo0+O4BZh1cY8lK8jxRIwyr1GeT0kN9i7o1zIom6Nr3eKKemxXqkv66P1QALl99qUNuSIOB2FtTMnW3xbN4jP/GRUoQvXSZzf6qGD1sTl6MKCOGpDEt8HlpefEsjOdNFDadVwJYNo2cx3NgFB0hUI53ZnJxVI2yEe4ky6HFh5CI7X1mfj0349R1/oMvWc4H2HgmVfUlhE1n/ri+n1ZdGlWaHwqYyWZZEr/erH+mF9MI7Eqa1J4KhrNZ3OOkLaiTalHt3yIPI6WhaypP6IL3/q2HzzO+XFPX9HX9wLIVGuyFF2lc05aJtso2oLfvVuvVFfJUOygnubx7dlFlk6/eUP/1aD/I4c6oMb5r87ZzTOaKMDD/VT17pcJxR/xEFE/DJ25PY/0k4Egxvc4AY3uF9xfyUEyW1rbeh3R76wd9rq7rp9cfbD9mLxgvtTQLEfiB0DgMft4uISkLbdnj39CY04xIO3e9p/Ggl75W1vZuPttr8/o/ED5N7cQgL8mOMrntmo8lKnAXealGBoByK1vnvN/dN2evFzAO7L9nAya+/vPWpA9rZZXAD+14BGvwNxT7zjtr8noD/MVsA3i9eQpJcBXGu/sL9atMPpB+2j499tD+efZtqVWyFv3QuQHgKIj8mjU09oDPErIN4DfD+cH0HoJu30xrVPEp+9tkPr7aYCrtE6Pf9Z++rFv2svT39EXLsAfTczqLVB87nfE0KHpGMjub/vrluqRCC3lQ+l1vQlwVEHDGjhrjPqJRG7zNod1yvYBrrmaQsw57bVF5cvApKAQTSYUI0RZAHS6lQ0AdP6VvJn77VTN5bt5uYVOuUWIEjSMEZHglb9CVKmkKF81JN0/I7V0fyD9uTRdwKEBArK54YXq7ZsL67P28WaNAQJyO/oi8AyGzvQemedC+naRGsD2sc4C+6PAnbcClnyu1lftx0Ax2x63G6UdTQl3YdtPjtu24TRhiQd2mG+BWRPNTquHbPcqru2fR5B6kIwKD91sQY8SVpM3G/DkAjpuajfNS615siRvpAeQJ7lnil7CFyUDn0CiNWHz2r3LQFgFBhwlelrgjbtC307wiNxW0DMarTJUYFubRD3HYmxfHXatzuDaQMSAKuJI1HGaXqSbK/17zoM7xk068dME3B/J8gmpDgPC4tO7JmutVQSO2IHsAZUcWSan/WKQ3srIKz8ptnJ28ks6QkRICjRcE36/hbwRU7JlTmJDy+Shkk5ipCfSTf/JY81XavsS4tXPo1EQKfNSx7yuQCO2nyi8h+w6UEuDYwYufZeOW5YD5K49ayAvHbm73LkGW+BnugH7ceua70ZZaq/Tm7LOKNF+HOdmBs6bO8cIuo+aUhijZPI3hz+rnTUWJXTNXo858Yy5WdHU8gfeTJe03AEJjDWPFEm+Q6RcVtxIo9x13OvQ14hRuZb/VtOEibPNc1MIG4ZUkb9kRS6uAhnHe5ERQYOTSvRq1vtucB/RkvwE5KG3CWK/1nvKoydBtqU98qujbiTPY6zeeHQTl1v56cIrF16t9zrWtvi6MMbP1dKAP/nOWWtzXNWB1u8v/y+Wr4RFDs1nrJfQ6ZO6jf+aRyILF7UBnnzG3CGe9MJoGHwLISce+mIsvMkgRTAA2lCjpxpAOmNnpRBneKMJ+f+Py1B7ZccuhAy0qoRJP2oK24RQR2Wvx0ojrZOiaLqfWwW++Bf0op54PydqbK5Vm8+JW6zYZ47f4Mb3OAGN7i/6P5KXo/VC7wBZG7aZFrgYEUj8Xp52lbru3YwfwxAhZjMxm0BYfnZs5dtCWlw5zIbQJs9AcgoaxDcgGEM6XBB9XZbbO7b1eoc4FCLmW2M7emfz6dvASIN0VbIAWTh9mVbb79oeyMnbdGgLZ1+ZkNVa3kEOPuzJ5n6tl5v2nK1hiwckuYDgC8NCUB1a33VpuRJApDF3SF5TyBu77fJ6AFAe47EEgKB5zpTyI5mh+351bN2LVDfnQKEb5vfOlKuuwaRWb+CfJ2FVF1dfw75eJZRpXeefNw+ePLbgPAD8rLVlhAK14k4lUa9bG79sOwV1wIfR3uqwV2tlmnrJuhVIrGBlK5WfkOIm4LitH53gBOnlt1m2pr3Z5N9yNsMrCiZEXBLkmzUbTtzB7+mCaDfXLfLy+eUlR/39ZslO202ehh92Cu8tT1r+wfHgMkpJEZQVADVkb1bDuM6h4Ce3rxsZ5DlSwkooNYydhc18+FIhSBMIBIwFuDuN30cmaEh36I8ttcQwVfo7DXkYkN8FwEJlsOE/IhZXSe1v7/X9vYkMrb+EgsBrDbm94ZW2I1bSWNWkgRSvkEHS264VmM224dcu9mIJBGSe+vHK10n5rRN1ysBgiUS6oljas845bWFXRnpNmls32G/kg5ybr969dpro9pm9eC78Du7MaJqSXG+b+QB4Xb6XXqjiSGAmIj8+LFrpeyA6KfcbDaSgg644VJssDZ1L2mxBz1x8Nt07HqgdiKmZKj04mhUpghyDbQiTKJCddVLXqMA3KBMzY2H4K82fxDSKWONkGVUgbOjCEbj1uiRBBvSv9PuJFslGz7ImH/JoI50tPUstHfkJqNIPvA/RwVInfg9JMt2ZKw5Zzcw7NJpg70es2ub1wGnptelmdgkAxzJl/95s5MB3VifBeBi1BAg7KU2hXDqVr0qo2OD4N1R32wR7kYO7qq36058tdbml90vJmf82mE+YoyOjNP0LF+nBGvQ2lFGRiROEi6eS5oy2loFk0N5kwMi1h6Mrz58WrYX0q3euc4oGkcIrs+qlAjH/U6+lAG2JqfJQbK+Q2oUqSs3/yd8yIC2TRmECOAyVc8eBGSx08WOnZxJQKIk7da2dP20thAbFaLeeJf4wWyJvd9Jc0qyI07mP6NpyFcSWAAVT01f9d2ILFi6ebS+3fvu3FwStyO2Uil14/vYa/KsTrAVZY19c8/dQJ2Cqf8iQRLNKqfSmSRrjezaNOVGHpIvxKlRIsMiR+q8Z/VkmHrfcjPnsgdtyXKzvuUG9+t9rb8aNfK5NuNv5OTaaZm0Tsha7VkdarZ06tG7Xi7jSD3IuX/m+6SuBze4wQ1ucH/RVQvzDZ0Ns6DA9RH2qqb3i4bHqf5H+4/S0M2n7wMgJm0GgL2b0YzRaKzcjpuXvi9u11yk1zTTPACnAASnA12trtvi9pp20cUhgDpHP+ZzgMl9u766omGk0eBFL8CcTU7a1e20/Xzxqr3c+mHb7NJA7Yyyk5ztoLtcueOSow4byNTF9Ys2Hu+1A2T0WzIHBx/mmzSTraM23zlJoyOY8HtLbiU+mz8EgEOQxq41oIESzNFgP4QknAKuXyzOIQE2wG5fXURhnMYJEra7025XfjleEOP20QCK7Zt2cfGsvTj9PmAcCNsBIEeSNoBgSY1trrPeXKcQwEnj6VHTCyGT+7NsaOHmC8ZpT7GNYjW8Aq8d4h6RT7cIB+xBEtfq3fLpiz8yUgYBqIJl1yydWbKQp8t2BvGbTI4D6gQltTvbblsS/xVg9er6knghkSNHXvxILHKQxkh9I8vd9nW72Zy1y+V5uwFMrYjfuAoqbGM3Akobf0dQJLzQz505ZVHfmHGkZwEYdke6yaimr10DkAUoTj1zRKxMeavNnIY4cw2JIyHmh9u4JbZ0vXRNl4QB2bHJDXldk9bV9Wl7ffEZ52W7vr4IuCxg6k58AI/dEXE5MqRiO936J2ihTDKCdGde3a2rRtAySkSZ+V2d7IqlP2xCgqSfNaBrrV+kEei7AYaEKkSR+M3NLjZj/stmHOVTjknSF6xFgzw37wXgIKbGIzjEj/oQaLsjnpt1SCopvNhudkoLUbLMPAD3Tg0MUcBunPbGZeA3ctahnVB2AE1Hw5ZJUyIomKx6rPPcf6fKdUkoieACR0Eo8RhnZPf/t+EEdhIS61VGdpDFR+o6IyPk2bUlS8r+Bru7gch7vs7W/le1AcUaXVI3tBc/hKycIQSks+nSDyEwPzinw1XyVbbWiQKOJqwutCF1RTYsB/Oj65+h2xHEyHdfCLQlh10FtBqn/3Py0BXJNS7skLMkWd3Vlty35OHqjb+Ko+LJaJLvB+S1zOsjqk5hI60unejXfPEzI0OUj3UkRLyT3aO2fF+mjEqvkgSCGTd10bLf3XHEt+SO7LwjQpqtU6lUkvRrDsmH5MjNOriPrre2ah3TzjZvQtcBQpgIlng8FwHTtruRIaR0TaXE6L5BkEKK/a0fNz/x4N3FUQSxi6w7LCtyhj61D2UxRulf3cv0bd8r/CWjOXiK39rWu2xYfdUIkTKqX0mHNl9xGabi0La1H/TGfQlIjf6rk0rHEBkVos7X6H+lqw7zvJdZMtS5vi30nW/Kpt9PQ6464r1qI7xWVpMoO3nrkpL34ywr/s9JfdV1osNVvIMb3OAGN7hfdn/xzfof6abTw7Y72uPl74cpJ7yAAa42pJvt9uriVbu8cV622x+ftAkAdjzBz4SXP6DPhlqwUVNWtnkmMXIUhUaLtu4GMORW1gI5QcQOZGADUN65cw3IGED8IKM/gnKBzGT6qH0NMP3J8ov2/P6s3dJAj2jpV6tNuwBECaxfXX3dvnr9MwjSK8I5XUfwfNVul8s22T4iLQjM1ooG33zQSG9P8dfa5cXLtsbfdFJrXybT/fbw6B3E386ohk2dvcppNMlP9ajTmEJ2JId7+Lf7WjlX63PAnFPnBDE26m6DXY2Z04ec3uXI1ntPvtv2509CPJxPb1Ob6TI05neEWyxeR4fZ6MF7AaLVK1rTt2zE+clhm+lIigv2HTVZQBjWjkaQz8hKg7tDWbjrnADADwCvNgXY7KlfW1426Mi2BICat8UCwAoptEF2NGIycacvt/tGDwDy2s7bBh5Qhrw2+H7cd02jnoXb6leCtGXeACjEm55d4nZNkiN4pingWEKCBRjzvRPCuX7N8nGExQ/41hoWsZuYcTLehZRLYIUa5meHtCkZjvW9NubaMUj6ctXOL59Dti/a9t2kHcweZze8ko04R5ASCdIutmnPrUAOZLsm3AZdukOhhLVAjACmyn2FPbreaAW5F6Srh9gC/gLGLB9zGdAqSCWPOZt3dCH5oFz9oLGoRlBUPcjmBb3mmkeWWwA/cQEGXdPnVvnpsTbvAqoQJO1Skgf5gAj526mgyuvObPuzD9rh9ENI7hHxmQapYHMhaJScpMgP4drrETlD7fwrsBfAJ2AjFYGvLtPftNn+EKxS3zKqQXkLWpU/eVZ/EnWJUQcAnW63hSzalnmLrtCLa83c0t4Pul5D5B1hvlpweM5xgU1eYaOOWF4QdgMIVvvKbx0rUF3gkBoVwOi1uf7Fa2XgfUO62n6B1ZRanTE2dVtrxpS5iChvRCJBh0ajq2qdeCuOiteRFeuSu/dxi1jVhSPDPrdsIkGVAWF7G8+0S+uNfrq/AO/EL8j3neo7xbIqebWH2sBDHWY8Me+LGhlSLaZXejc/WdOFfJlqGYLDGT8ZoYA8lV1Ynxwp9q0UzeFP3UiSSMNwQfsSJkeUsCnqEVEkDUeJrJekQv4td21UPVE++U35Q4p8bn20M2S861ovbNo/IyLNvPPIdz5oewdJxv6TiE69qvP4KzszjCdtN6O8NDTWtbIPZUMuxfYv+TYibljm2GGNStZ7NWXkqBn1WzKklRVR0j4SijtVN2okhzR+wcXciV95sr4p9qXMVZcqki4vCue7LDamDSur7yl/a0ydPx70v4zD4Im/K+u69qkkqwszuMENbnCD+wvO9+g3dq7vmIwPeLnv0jit25jG8NF0tx0fHrbPn3+fVADwEJMRL+WD2UkAdKb62Kj7x31B8ihTiXYAM9uAHxpvwIA9/OOxYdyyWaAliF5nA4fD/XfaycmvZx3IDPLl7mvr+5ftkgbv5WavXfgR0h1AgsCRcAvA5sXiRfvi+Z+052c/Sk/0YrVuN8tNviO0gvwI8m1A7HX2w5F+X8V2M4DVnuvr82zD7RbQk+yI5roBZTaMAEFi4LqEKYBym2fV4Elu/J6R09Ns/HIg1xKAd33zVXZToy0OALLhQiMBKY7OuJnC9ta8gIHTV9DZZETcgMA7wQDpHsweprFTxtv1ZaVn64uTcGbKjT2mrttQzvQU11QWw0lOJQIFykwCuOA6q7XrrARfNNhkRbkFS/6eZFTKtTpOK8M/YEM4IKnYhpgKhpzWFgCE2JKy5fK6XaJDSQQBuY8/yIyGKNARgAtu7wFYftNmkg9zCjzdlAAyc/UcsLrIJhOOetjL7AL6fP8maenMD0DSUSQObWwDEXTanGXjtM+10zeXEOPFql1d3eD3MNMu/V7WGEJeW0TXaMtoNKMsJuiTw7w4NUo9WobEad48TFeyI1CTUPZAyfSrNznCRX9ve6jteRa8CcA5tNWQz7peWwZdJ0JAk2UnqAYYmaZkI9OnJCy3El5JwU3CeqRMCFvfbLK+1WH61jvBv1MOHQGZQo5m40fk94CwElsdZc3/WbOiDWFLlrXlLNjL/dypPEZG/5SXZ6vNdY6Mojmi40goAN4pmNpXrdkgHOBSPRRQl3BoY6Ff+EEXknPKUHu0c2FxAzniuFo8513xAlLEsXhFXT7NR43dkfJmeU4dv4oOLRfzE8IYHZgr/kdeXf32bI7VFzLEn6PI5qf8l0O26LJzAk8rL/ckoZlih/y8uuqxjzgSBc6z8Wm7t7wzd3aP8DCLfoym95xNGjwSqMIpk6RCEF9rtrQlJOYcUJ5y6UA8NlG70VXCVq/U/5BU7ctnJpiI+ee1/iq/jmD269F2eNSPyhKYeqFP/ElOSKtsWgKFH/xKrsxLvquEfqyFbseeD/L6jsyIkdPmfF/y3vG9S96cZmw19SiibB4ts6rnlovhM9pttrQ3yRF29HYEp0iINq7sb8tO3ZReyobLxf64H6KFX/UQkmQ5lA+O0qPhvXZkKvcypU6dSgL5SZCKo1y9KwnPUaOshOE6EnFOmsSDr4T1HeX9OkyzT1f/SqZs6o7f2qBH7vM+yPotBajU63/Cdob4Nl5i5V52Hxzc4AY3uMH9pc4W/Ru7FSTDqSYCYadFjcY77Wrny3ax/gzgIzi6oHHzRQ2oBqg5MpBF8GkAfXHznw1rgJ87ckk6aj2ODZ+7wC1XFwHqI8Jut+NMhTvefx/CckGjsoRAAWp379vrs68BZDZG+4TbC2YZjWjsRxvSABS0ZXv6+kft2dkPIEznAZ/20rvD2xbxu07DRmsJELPFGu3sF5AD2E13TNvW5RYA7XqeCX7v2iYASdBZJCOjSDb8nkUJOHc4WizPCG1jKMixkVrR2M/TUEm6/IaRa2Ay151G1+kppuvGCebRaTVOPRR85Hs9XOdbOPh3fc5s4rVEqKbf2dNcDbREzM0xnBIjiKiG0oY02xQLWJSIW/nCO+CpB90B6eoC/4mPfLs43rIMYCLQSL3RsEuyjFeABIzJ6Nre9Jj40Y3kS1kE8ncCePNpr6ojI64PQmDBB3kTzDrFp9ZL7WNP89iHIwyb+8t2uXjalpuL3HOalyNi6hTtpwwkov1onL97Z5YDQPCdba8B3UIlcsB9yflemyKvi+7dVtupeyP0E3hGfIKgfsG7o0frjMZZVpJDQZPTuNxEoKZDqoseAEV2RyHwU6NmVX7mQXijPwFeTcczDUAfMrqpQjYnkCAkJvOB/QguLULuqM/aKlqdekhcXIdTtoQn0gRAkZM79WipWTECroxfIM1P/nNDih1s0g+jOuqCaCk37dyIuOKafPA7tk9agZuaj7ZeEZG/0rv1NzrjcNdHRy1KhyWbRw+yzVAgIHLVaIa3zLX2aI+9IJa8Uva1Ju1lpsle+iFjSNL16mW7XnN//RLC9CrTRBf4dWpm7RxodiSmkhhy0uk2ZdeVH154zrNcuJbKXBuwA6sAYilhpqqpA8Nw5j90WuDVVNSBUXhdearDeJUjI0y862qExDWNTrvlPRoSImGw3hIP8urX+Cqe0o22Hh0lLvWWC/x5cMlZgJ0Pk3rPisVzR2lDqh2txUaKFFiWjjhW3Om88kyadjBIMkZ+dZlyyLdzEhXXPLdzpPJsvYfi6A0NOUK17SgSYXKfMHZY+L6R6KQcJEVOpbsbc3QA3+mq5hl95Dk6iFzaIHJW/TaOItHQKcKYF/NhPi0D49BZ/yptCVDpJ3f57eiZ8nd+eRR9qcvkQf0bn2EqX/VO0WPXeWBchknNrPj78HVGZmyjl4uL6Nn49FPp6CwX46n0ermqE8Wju4ZUaruJgjZSQmnU+CZe49euJZq97fnMP9PqE+NZmWtcyTa4wQ1ucIP7Zde3JN/IXV2dcvgdHndlO2mT8XGA1u32C4CxoO8CUPsi4M+GJI0qDWCtN7An1EbY3lRf7EW0jCu9xQD7i/MX7fz8jHtOlztsB3vfokHwVf+6bZZf03gKOAUbNf0igMtGgzbBdsDd02ZTG/tqTGx/JSsb4t5yfjpgYQcy4lx0PdnoORVtuZJs2MBDjO7dNciGksaaP7fc7qfmnV+9TAOUb9b4vRqOTLdJfmiuIBb2nG/uLon3AoIBuILEuVOS5MENAOwZXa8WyHVOnl0Hc02ct+RX0EAuzC/HhPw5fdFvAT155LeKDpGG/OLfLcurJ1Vg7RomgbyA0mlrAlSIHoTQ9WF94y9hMPrSuSMmNZVLopQRH9c2AXIyFRFwK/gxT/beZs4+hNN1CE57XK+uuLlpe+Npe+fkSbuX7G3cYRD/xC1pFJg7upSRlhBg5XQLdadbaRsjbGjWZjPJiSAJiGVPZ+yDvFFWWVegVAK8bFAhmXTdCmnoFf0kd5SjerhdC8IleMRn+Qk07Lnfxma0wxEklfvExh8ABBn8UOg4GzPYW61/RxKcOucaGMiuZJbyykgScoQcYXcZkYn9FRgSlxSZwLZEWU4xwh4QEgnJnfoIqsR/ykJARTzaC4ejCo7+9SMdcXqPHQqIBEeOCCwD4JySFiAnGINg3W2IE9k8oNWkIugnL9hgwBV+He1ytOV6VSMu1oMtbH5LotQcTcOu+V065T90qW4jM0ef9zz3t/nlhzamfWXUYkPZbdAwMpmXHowmQq/VFeETCf/1wND48oeO3QxAW1Yfi+XrdnXzrF1IjjjX9YvueNUufb44rfVJjiJpY5EZvakfU+NfyUM+ujwkHz5GLvNQRIj6hI0JqiVrknt3TIyc/I/SS0ZumSe1YjifCtCzvXfuJ1qeeRaAW9csA+2WB8QjKUvZJu/6KRCsjH14n/F/7mk/u77/yFPZUTmJFr4juzblNZJwbR74o4xDPNFr5LcMEhK9Y1f9KIWqUl+edxxRguDUDo+O2NrJVUQ/64+IP+txjIb4sz08dimZcidQ62VkT0b4RwIC+5CijIhWvhwdtbNMsSM/shl9ZE1A0/KoOJS98khY3wHqRsvswpX8XWYSxrwaTkFyJ39vrhOu5FWnVT3recVg9SXf6L2LEmdZabf1y3AlkzHqeo8lV5ULOkp6laaHEURe3w+xA8vRo2Sp+LUR81n2UzZd77w44/NUv37BVfiyf739qo/BDW5wgxtcubRl39TZcK2zqxqNSb5NcwSI/4gn47a3v5eGwl7cJUQp2yrzoq6pZLzibWggN5tbRXEHI4AuL37bd8GK6w0EEsdH7+c+TXE7PfusXa6eEYZGPo0Z5MIeWadazWdtPHedBeHX1UNq2xQAIdigQbF99dtCLowvMAcJQp4NQMotymu9QqWf793c70FiatpRWhjcCsB3dXMREiHx80O0TuUxZL4aH6Jl4y7wt3Gz8URHko21C/HJr0iJPDidS2IQkkhcxuc0qyw6l6ABqPuRnh3yOgGc2NDaQM79qv+uHxFVLvvyafSUHyCUxf8c9hj7W6BSANN1V94r8BSSRJgaASEG0nB6o05gmS2VOzC2vHU9mTp1epY9+8YraXGk8CpAaRdZFpvrdrZ8jl7d8txF1gIpp/RJYAEW+LmFALrVsSMS2ZiCtCd+vPbg/fbo4K+jHsgysjk335EP9ShQddMOmCO5de2TU6fsvR61cfSDHaACYZ73a7rRAnGFm/a8C0YhRTv7XEOos75tzKH+HWXBBaRWLzdSUz6cKQO0lJGcFUQttqOu1BsA2HCxF/TJLY4CWVaxAtX6EMiMOaHfgKu++unPHnLDK29RNddY1e5s6J+jiL9xmzd0c2cPuz3G6BT/2rJpBmx1U9YEWZLSrG8gOadIOZqlLcd2O4JnOWgrrpvSFeh1i/PaxGE6OU7Hx3j3ILo239qOBMN0XdtSBAM5yIcky00ovHYNVjahMB/mrdOT9lhT7CTwXps5Rx4E/NV5wkNuUl8CcM2DusIm784gQE/b9TUHJOl68QrS9LItFi/bjUfWJ73GDq9CkATqiV89R4vakyC2gGrJ1NUHSU0nd0a4uE7ZoFNlUneJI68CbaAT0wQkMmaN345QwUOR1duWi4fBYrEp23vee6l/6NFvxcUlvYq35PRdQhifx1TQi6bTpR+HZ0l8YtfuElj/dk6QviNHpKfOa7dJyUYP0Dnl7AVhtREujU5bEpjXiI227HtMW1WZjrDXtDn/1Kzx11ocSb3ThkkjnVASYPXHY/7ThtzcpAgATyKbslr2b+uGEpmS+jPTeedrC3WXo97vZfeVl4qTM3LZ4RN9mBf+s94ZlSVY4fXHleWfTBt3uV6PeXdod8Zl5waXkcweK5/1v3GGyc/OZf0Tukp9oVx9x2JhPNF/71N74LcdcKRjHOnsQDDTrd/mCUJkG0awbPWed1l1LN7lHVDXKfDu99s0TA9ZFdsrRC977J8PbnCDG9zgftFVK/QNnS//ajxpwGgQ0hBsnLY0y05S9zs0CtuCpR5sFwj0HX+7ARivePHfAojua8qJL/bFwilGTiV71Gaz99toUgvxN5CstdNmAFvLjY28oHfcri6v283VGdc0EpszGmAIAORGImPj6pqgmeuWpg/x4RQsGjuBgBlA9kzlA0xdLC7bpQvjM23MfABS1+RpY8zTpOVUhtUS8rZ2M4lL/NVISK23gCTRcPa96LZI07E7rU07EOA0GkGtgAIHONpte7SkgvO75kdiHelQj/c82YUwTEdONZvj3/zfhRDdb+7bi+c/J84F4NVvBzltsZujzzlJk3b1LlPMKpuz30HKXH4IVxV/gaFqyKscPfTjFsZeC1ocRVF2d8tzZEsSpOYFko7oOH1G0CsZa7v3gGN04ogPunA0xl7njNigO7FxDzhtoGszA0fYANarRVuuXuFn2Q5mTwDlEOyAC+QDVAktVhCxi8VzRH8LJiRiWTAv8cBP8iKggXgJSZIW9yUnLgAXaBQJwu7Qs6NFbi8tOQzhQC7TtCc+YIWggqtaK4PsBM81arlFzwV81KGlVFNd+urlnYCtDuSouTxDt5EJp7wCdKfWbbJeqgNs+OgBPDfAzgBW40CPgqMCSdiLo5LK5W/SEQBl9CvAViDUpZF0jLPkNUQvR5dLPCKxZS5pRCe13fk+dgdZChmX8DrSq47Uh0DRkSjkV1ZiExRaJ7J5SHfWvmvti0Te/Bmu0lXHuuBQAXfKUvm9nxijg0z/xObb7XnbLJ9SD7/CXl5AiGqKXabaQZSusaHl+jwfQHZdllP6SibiulNuoTVxUnbukqjs0Ql+Sk/aQCdvR5IiovaMkG9783OT55LMRWw+IzNJw3gqf1kfKJHW9nPwnLI0Le3D+ucRu0D/3q2ytX5W+fnY8OUq3ZRtp58iDtqaNlbP1Ke6fktc7MywI8fflU4IKbrWNj0CrK1HlIP1B/PA+W7wZBqWkTaOI02f+yxtAHpSZ/q33HLmWXXSSJrwj+06ShQbsiLhDFsJKHfd03nH96bnjLZ6FSWYYwmX9RM70V7MN3HUoR6Ms2zJdkW/NUqlP/NrrMSkqInW8vCOfigfCwpnGSVdXDo2OJJv0ulHxbzWxS9KVzpdbnOZ6aTW6aShTnzuYdnWvdxPOsZXecmd1Ie37617y4pr7cR81I5/7kxpByPHnSPjPveovJROy+5jZ+a3vx7c4AY3uMH9ivOt+Y2dvdOrlWtl/NCqa2lW2fzAdQyj8WEbTWeA3zUveptjGgqIhOtkJEvV5Dki4qgP5wBUD6dy7LeD/XcAZxAI0phMJhASR31W7fL6ui2WNjr4BkTv7wGmJwdpKHe2T2gkAHPjMfI4hQuAAyBxdMKPjDqlLRsm7NJQo4GAMMCDmxnY7riu5cYRMcBxEQzEE9SQJehHdk6zjXbdUzVugiZVKTCCGJAve4ElOvYW2jjttDn3bKDssVdrBWKBTW20NWvzHfS0DYmQIAKcJCSOGglOV36vab2AdKzbCiHu7ogPv/YE+z0kAYJT+9yNzJ2e6sOWAgZgOsRhAinag0TNJVI8m08Fu4YXGFVD3PegigmyxoU4s04GHaxJ0w/zjkKuZgBQys97ricgHfPjLn2Oijni9Pr0ebu88TtXKFOtGCk6kCS5JbKbDAhUbbwnu24OQPmi19yC1Lom4+LmS8IjE3rVdkQKToNr2XJ91tbY2Yq0bOj7POhJsAkcyG9H5FyrldE1CXnukyfBBv4Egm5Z7q5uAn+PTNVUd/gRcFm26rkIHUBT8MNx1x0UaXSUqYPEbfm562G+VQJAebPLlIaF04+AJgRNeZDRfOUjmMbHXXVTa5hQSFzlR0CDKLGb6vk1r5ah25w7qiPgkXygc8LrIwv5Ofeu/Jgffak75KRMXQ9jHCGyHLW1sr9rKlX0Rh6Mz7LWzpI3y6STKyl18WenxXtHjCQm1gsJHHkSzPO7SIcZMRx58I88Wt96Ahl7MG7u+yzTySR8Ck5Yd2vbrF/yHviCd85XGT1arZyiegYxkhz5XasLDt83AnRkCClBx7w3HLmpdV4Qc0C4BN1OkeosKKBfo3/YX+qxKWtjRGD6+MlUUUkthyQsJEAyQtmXvVW5WV7apvkKaLX8PGNSa96VTlctV3Wv6t+YzPckQu32RIryI1x1GhAFZ+5EtyE12q7vrmyyYFoFvjEvnP9JZCQxa8pa8G05WofQe8C3hyOddhhgF5x3/MaTazDj1zpUdSRhzJs2HJ0gA2l5RGrP3kM2dWbqPaGoEY7KW5GDcqXnitMAjgpLLLxfMw/0z4lDrdTnCfrDfJT+HF2NXbvWy84Zzz4zD4bEv7bmte1D/SZB4lWEfqpu5OEouRTJdKwPHtR3wun6POScyyr7dCJ0RNv3SBF9y8M4y1/v13OlY7mUnqJjZbMsI2Md6j2Es7vO/XSaVJjoj2tleRO3v3XK5Ys7tjW4wQ1ucIP7ZfdX83b0xU8Dv1pctuvrl4CVcwjSOe9gG+oj2tw5728bNRsBgYjk6Joms28wnMZRja0AyClP0/FBOzx4XI2PYQDD+XAjDbWNXKYfbWxkdwEpNDY09Pv784CZ5XqnrUjLsRkB+P1GgE1DYoNHdDaykog0IsQgSUljBYKw6XHzAbe/FjTZnsym06yJEWw4omSjlAabNPL9prQ+Njb8474kIVPlAD6uCRHIR26nReFX3xlhsK1CdwGGNN6zkdO+1JM6QeYtwBe6khgtNhBQSGimLm3QBbJI8iRiNqQjwIs7CU7Gyimw7b57RF5nk3ninqILyZIjC34vyOkxjjIFXqlj8mveIiByWi7ZeCHgVnDjToN7PHZkzmkzQFuBFP4tP4FzgYm+l92RpyJDtZsfMbiux3VagHrlFFCtILDq0vSc8uXvm+V9e335qt2QbyKp8iEGp+XsQJICmjrQGvAseBAgJhX+t0yQW1Doh1YnECXzK/GUOPnRYPXjx3oF+/YwS5T8LpYk2imGErwqLfMvuAeV4sy/hMccmS/tOjvcQYwEjmQJJ3GRrEs0nB7JfWXmQDvEl9xENwFU5CGbMQieTDPlYnrmrwM7hNH2NWLtRyKzteWW0up9Tnin2AjU3bkuQiSu/Gl3OQTXRYaJGRmxETdOoVzNu4e25Md/M8Vu24+gCo4lUeRHPRHGDSzyEVXkiU5juchHvPVSIa0OFNqh4ZSrrEfxjIzW+9KAWTdflKugPnZLvvI+MKY3saV+uvbHDo0qA/WH3W4gRRClzeY1de80HTCOMmVEFyKddVzKUrFEz/3ojkcBVkGsZWGcEB5kznRA5LR+WB7al3Wz8lajZW6G4Qjom10L8SPw3EI32W3Qsna0iEObEIhnFAPwHnCNXfjulKSVHClxdFrvwxzYa0/qtZvYTJcb5TOQ0lVdICx+rXseUVNUZc4lE9yPPzt/tE/9drZVPjgoScsUu7CTamd3n99VZ7UBn+V9Tfz61UVHSqECuatzJMV7kcs4c9f/1Yc2iNwEiy129l1R8F955rnlVPl1PaGxm6+E4YhfXGQ3owZMcGV01EgypMzWTcmS70z9VB3SX66j7yJfupST5ZhfBuni996b0R9tocqhd4pD8eSs89oy0qZiX/1D8pR1aiqA8BH9jeNHl5566Y90mlmuPiaKN/k1StPJQRhIUl2bVCedZ+0++jTFcpX+4AY3uMEN7pddtQbf0AmCAkQWV229vACgAOrXfsiT6Hmp24M3m54AIG2Qax2JYRyxEazY+PUNlQ12gJqAzRGaW0ABZKim8UCcZo9pmB2REpxKgpzDf0tDTkNxO257u++1zWIKYDIc9+5tGAGRAGunarhBQcA+6QiUbWL6Dxy6zsGpY26CULvE2TAVoJJ4hFQAtm0SzcN6ea3UxGNjbUMjDNHhg0ZRkJXvbGxfQgVX+VbUlt9IIayNo07guLq95Mw9R7C4cjqTjbk6vb45RZeu+zFOfEMghHrqyR3WTMtEsyjbRtDWr3NeOpJRgAc4sDNq89EcoiSodpe4aab/SU7sDVX/QoJaYK4X06y4vKc+sgsZAFySa2+5IESwZM/zDjoiIYXp4rH47Yl2yt9WSKcESHn8ngnNfRptoGHSE7RZpq7DuVq8bqc3X2UNSU1p4R9l4yiOeZTgBkj7R7kF+CGD+dSivE8OSKkHFkWQ3PrcMnbdhEQ437kiX0SusJUfiEeAVOITjGF/IUlK6RqZDrSYBs9DHMhnQKzgy3S5/2ZtE89HkiTzm6dFBuMVeQNkc8/yEzg54smtSiH/C95C6onPa6eAhdRJkIzbDRW4H9AOEamREeMitSSqnQioC8B7mGdHjNxK3W9J1TQ6yPS4rh3Zs5xG1LfxDtchtoBm8jXGPh2NtAxHysafuk6vt7k0TYS3bvd2FDDGRUaU0Gc6GdQG/kKOQlodsZLwOULRrV3r9Ciwt0PAMshlEuEXp0zhur3i2neKa/eoM/dOeevICwSp8x5ZjCMjSqLI7oG2qG3boeHodjYzId7IS7ohrOSBml33iNOyqu/vOLJd0/jeAPF8D2mCP+rA3Yj67fvG0WfLUPBeozPRDX+Gk4RkZE7wjg1ZeI5ku9W9HUQZcSRmSjd1wZBZH9M57T+E2r+Ex66RldpI/A3dqkuOdBBJCLTG8tsD8egZR82hjhxgI4ek76Yd2p+kwnApgM6pS/XRlfPbB8Rn3PVeT93M80pVgfqUIqcH1xlNDQMwfB3mOGsn8+5xPZnT9WrqXfwQzuvIvuX7vct/6om22dVt7cp6w7UVMDbL8xDSECn15RGtVNz8179/ez0VqVQuT8lN/OuKGGqTlYd0eHU2pL2lg8J3bOpi1QPbuMRnWoZJvfE9ok6Mw/9Lj9lZs3tn+P4xqElZ171366YXjiTx0zeg1S6ydC5lwGHeOpEHN7jBDW5wv+Tq7fsNnUCTNzyAwm2r/XjoGS9ge/e7hv5+NxsRZAoZQKdAnA1DvbTToNMQvGlI9Y9fB37GADV7/3yh39wACO4AEE5XA2jcLJbteummBjY+gMbbPcD/g3a09xCZaMwzYiPo2iPeCQDFTQoAn7QoPZEIKOK+vwsICfp9ftuBNkdhXONBK0MjOoZQOHXF6YKSGtfjZAMGAUsaPBu7Ssdd2O5ub0jlCoIlIRNsTLk/a+5kl/VYTkHaAlwButyMwdGRo/3HNNjoazyCEJ2jq6s0uk53sl32Y7cLp+TQwqWhppETEHshSHcqnKM59hAXKADQ4Nf1Qur3cHYI+AV42nwSVuJXGz1oDuQdaWw8MzJg2XDHb/8ETHR6yiggQNS086FLwYXAkPTURsgCDbUjfdnFC+Jjo57d38i3oGOCLrSLXewk3zFCX4IMt4l3cfcGcuTGD5lip31IZrQ1wgrwHInqQaBAoLchnaWbKXQCS44iIXektU26BbgjPPkJ+VZqnim3cjo9MmBXLEiUZR+WudpASvzUts6Sfu1MEFIgxzzglXiVQpu2DCqfQbfxIxBUviobvVYahjNLyqt8pcs3oDlrppQfXZM/4xJMaeeO9jjqk+l23qWOKYt/5t84A/A4h3R0Oi8ip73MITv7kB+J0iE2xLHDNfHOIUtT6tGYspbs7dy5ko888bdt2fpn3MijTCGR+euvO4cNWlqeBb161oZr9KhIQL7RJUlCJssw74OUGfElIkmqpLh+W051SFAk7o5O26ngd4UcoUUXb0Zo1BV+veZs2TsyUWXntWsR3TYd+6bu+jvrniRCIVpLkndEWnAukXWDid6PhK/Ku6YNO0XN8tiDdPnec2e2Kj9HKFJ+Gph2QPlimejCd6S7cRZRij3Gxsy/pEobJ2z37rTsPbhNftSl8Vr6Pve605mkQX9cO2olgJbM91PlYh/xqHXjvS8/ZYu9OVqp/XlQgoRVZ+qQ/+pISFyJxi3rlL61X0dNO1m5lzrEk8RP+tVBVuGTpy5OzyGy2IvvHfXvt97u0LuxmF07p5wGq51pS0XSPcyT7wPT6epPdMpBXuqMn/izDDx3suCSP/QcWcwU/6KTxMc570sfKQnPtE+O8l8u9SFn7U+7sRyMy6OzRetCfptXn+Pf+EnHFD3ynn/jOr0ir3p0/aOdIcoakuR9ojbflZRlVSYTs/EY3OAGN7jB/Y+6X3zr/ke7sRsL8AL3e0g3Nzf5GOjNwh7dXYiCL2+nhQEg+KsGmZd/eghtaAsg+cKvxsBe7Wq4aBd5oUOHZn4odZq4Nut1AQUaeIH2zZIGE/C+dT+FhBymIZ9M9gH9hyE3AurNLU0SDV8WkUsk0kggDa1FAEUaJqfqCPqJzylAHeHpG20DpfcO4CZJkkwY1ql9Ns5bO/iVKNn4pzVat9XyAlkkCjfkbNlmk8NKOvGRwsbeUNPa1Dx95JAULZYLQJGNm81f5wikTgRN+l+68FywiT5tSjP9xPDopsiGvdEe4+i5wDpkEAJ4A8AIGXONFEp2CtSW36lybIprZbOhDlFAf6pI/WSHujS+9VyCZO+5YEMyWmUr8bBc61hTNgUGyQ8ndZatvcm7083GgO7tTOVypEKiJcBw7RCAfLJHWKffWWbmz955iVuBEIERPtEdh2lSnpm+RJ7zAcrIUWA6AIOyzGgOaWV6WOT1Pl5xlp15VodjDvWdZ9zvgY9qLPBoiuiH6yor/PkMD/W0joxGEueYuPyL2SOn5DnpE3YbudSrvdg1FYt73ud3gdf+qHv1vRPL3fBON6yOhx2ud7ePOEsciSv2q00KQiUfTpmqw1EygfguYSXsuyFINYLhdDo7FUa7B8i/z307JRxFcprmQUaT1PuunQ+CX/XKnxopXaYUK23+tJ9M6+JaYuTIjDYmYO8CRPeCdA+nwGYkSRt2BDKE3Z0mKXvrnPUtZZqi4dy9T4jPEdm2hT2T9o6gmXv1XHGKEKUcVU02TTBcla0g3BEKvxd2sznLZiAr6sMdZD2bkXDNmwz/NSJTNml9qZEMe/a1qxAf9HJ/73RLyoH3oKNGlpsdCRnB8Kw/oqmt2dW9o3Nz8ol+dyVJEkM7D7BHy40y1E54zUSfJMA/86QcpdMarXB9l/J1OuGkfOUkcBWv7wblUNYiEgZRh+rUPFh66lHb0u4qyrJw60YB+oSJLIZMsIT0zzD67UdWPSpM/co6R9OqisFvbYZL8tfHmdFG88g538+y0wm99zZW0wzrXW49DSGPzffEh7qSuqTue6LUH9ibeuDIGiVIqs+VL++GTnGp89a/xFn3y2a9Z3qlv8pHBYo+jIdDu897LHZjmXWjSdFFjCBhjFMb9X6vg975Wxe5EKBPUxOueNBFOgKsV+rcqXa+F6kFvFesdrapvxDl4AY3uMEN7v+P697q39TdQZJofADdi5tl27gxwmrZFotrSIfkaFmHZICGLu0LaMeGunr3bbhoeGjcBLE2pmvX+tgg8DKHWzXXvtjwVS+uoz6SJUA2QFs/hhM83tGAjQHWtTbChhGwTIvgRg210xeNj41UXDX0WfiLn7cLrhe5dn2Ja34ix5vGyR3PAJUjGtTIew8RE3A4HUUwIwAdJ19Z7HwHads9Iu+uH3IqnY2+H9YlZfyEDCLTKMAA8sfzLaehcW8XgGVvPQITxkbPRrDAoQ2saysyxQdZbXSzLgL91nQKZOPs92eygDwAI2oiFdfTmCV0htySpKVTI40r5FBSIXkRxKtHzYRyiwzIRxyZvoUMjvJ4t8pNkCLompCu+up6Ljk2FKJri/oRKUfPspEA5eU6sQD0jAgJToBtIz96myg4nFRob331wJJTU6xHll/AjVNm+F3GFdCgPDWypiqQm5uCeUt9RL72xm4Q4YeLRwBQjzGyTNoMIjGDJBxBuOdcV/5Ni/Bk3ql6Y/Q2pdzdWtxP4lB8bt4nXWsT0p9yf8p5l/QkR1PzySHYnUPcXQNlrI7BzCS02KrgeioB5zC1vnzMk+UhCTK/WbzvWZBNGGIIqVN35t0ckl3KhzJC+QLVTDGUABE2I1epc4QNucJmAYdOm3ON2pg8T5DJET6BueuNnIY3Gx0h3xH33Vr+7fQ7coluhZV2lHDNn/ZQWLHswsM8xXnC5qyHwXopUZSYAiWcdYPDfGdNotNnsT+BZLYox3fqA9dkpXP4Sd5N1GisKz1RIFzqPM8iC7/RS8gR0WSEs+s8EYjXjpZueX6Ta+uHHRnunFkf8NUelb9GkkwwZUX5mqF+nVGBU699LlAXpFNG+MvGHYTLG8j3xZa63MNG5pzReUdYQ2axF3WiPjKyGF3i+pN1Avns4AiZMFP+L3lDR1k/YzjTI54C9ZPYkW8dy8pnJMBvwb56tB4SB3nPO8ffsasqT98xju6py/LjPesZzzkrmj5CAvBza8dFRtWKAPjc/GQ6nX5TLt2hLJ0z38ZRHUCWpe97Cal+fJ9LlHz/VTlLiCsX1BDtB31niq26427f3pgff9sGxJTsmECQ5MP8Ilec7wx9oTM7T4qI8puyVDalJYiqM2tce+E7kti96UOfc1hG2awhdml5WVad/qKnRM0z3zPq2nirvHRVblWORm0Z5EBej8zK8JqzbULsNu9p73Xlk7Kp8KahbIMb3OAGN7hfdfXm/aaORmM62W1H+64b4gXOy1gwu1yd0bC5i9RlFkwvlk6vKgDvi9sXfjXc9uTZ5NkY1HoVGwfngrvNs6DQdTKOCBGURhXwPnbbbN/2vPgBNmmWfKY8uu7d75QdgZPpuuV3FmvTYPQNW9LRu7KQjoFsPNJ22LADkATyfbwZiUGW9CSmweLYseGlEQZoS5AmuwccgMnxMY3QHvK5VfVOu1ldteVaEOOUFXuMAaiAlFpLJBBQb66DAkinlxkAHnAqCFU+nxMeQJdvnuhfwEa++h70ZAhw6Hz9dabBKf8qwK6Iao2SmSf1oKLMg/I7VbBt2WAXgRME2HMsMDBu41JBkguVZFkEAHWNu/IHuBOmgILm5YhRNd413U5QUPoWmRi2CEgBRYmOEEe/fnPIncWUXSCUXdGQzfLRZQSQsP3IWi0il+ziwazg0Xx0nlOeWEvCu/ZIQhRSBNktcjTK9DvX1qSnnmD+v4MdChklRRPy7ojQDml4PyrzQJVeC7skS0KwkcDM38ZBfndJdwpAMw7p0QRbn0iWvAdRm+3Oi5gQf4Bdp0uJfj8imO3IsZsQHPzUlskFaCWmTiEKiEU3BYoQhqeRUVnwq37UkyONOSBkkiCn3NVUOwm+RN/nRZK0wykEdjY+4DhG3hpJcodJn6mzkSNY5Lw6J6pMlUMJuMRZBgpi+lUuln89sz721+Vq166qawWei+R43/fGG+IIgUp0XdgCidZzwax1ogC0dSd2IJAsqSp9z8SfMPw2fB3G4RrB2r4707uoS+WvI2zmB1fbqat7bL/TsYe99ynDlBn2TSmlM4h72SnwHp1DcGe7+9hkbY5RBEl72INMH0Tvlomk2o4YNw/J+7LXlXpTN5HHs/m340RArk6796ki8Vu99WvmYjvoM2Rau0C+RGkxSU7sMEndE9QL2j0qzzpD4Jvn+ZFf3a068sNyNC2JXhHDkkk5S2bjNE+xV//FbvhLxHVE77wLQjxwEi/XImWasiOHEkTiyzuBPGWUn2tlrHyZppGXTfGUO5xjSxUnNxQtv5NN4vCkU848y5CQeuTM0b9jKu7etxL7LFEmXxUemZFT2yw7KpuudqWLI3fK9eVc8pX8ptvf8886rQhv7DLnerfqP2mHqJudLl847/evx8ENbnCDG9xfdNUafkPny9rdzhyIGYECfQnvEvPu9oo2+6K59e5iddkRBAA6ZKV6a23YfUPblBhRvcDTs8iN9PYBOiRJeI9fX+qGlSw5ilMNDGF4ZnRmidd+XROP+MB7NvY2ZiFHRF5AoRqcNMKE77eQrXncSmUDDHDYCDbsBRXg13VPANI7GyArJDbvgBgBowveAZHTyQlE6THxzMm3gGMX0A8BsHeZ8G7hnd5I/txVzVh1jlIpnw38ZOyOc4AvCINbiPeNaiTkXq2ZKPLS583GWIC0kVQEQHANwFtAVhfLC86Ui9sfc89wNuRF9MxD5V/gUGDX3mO1QXnSsKdHFqCjntxiOASSs7p2ZCl6QT/pmSeq6It8gFgyIicYCEBxdITbxs0tLvhBWkaRLZe5RVMP0YPgCdRs+AmvZ7GJuhbUezb96hn2j+eUCSdclXGAg+UXsAw5TxyQUfLih3dDdoha2ORmIlUOxImAaAXg7zQ54L95557+go/w6ACH5hW4hSIluOSsOwivrF5blsqMnym2NsN+9aMcjlod7z1qR7PHgOLjNgMUO5okiZJ8ZHRHosJ5NppnlMcRpYDtip34IYmhZiV7Hf6qI/fVk0rPb0GkhEbCLsGs3nXJkaNKxuXIksDdDRocLSryD0kaHXF24wY7RQ6zAcku16MdgT5nR6U4XL9i3SibKJlSHl1ZOH2tAHLZbIAj16V7ZOzEt7rdb1GG9rhbL/mtvZYfz+igMph6E0D55reXod2k0Y1Cdu8fbUVQrb/IEH+5ix1a33xf+fmCS85u/rBAPuuBU+06+6AMpMZuzOCoSnYoDHn2fRKqnEM9ZB2hv++0DHW7jy2g0y10HGJURNOynrsxzMjyttNF0q69+K4wr8kcTtnVXR2lv9KTv3V5z/nX5U9tqLNYKOd6hsg8N9b4tp6ZDR7UqJnx8Zt3lx/AzSgalbvya9oJmPqsUwe+5259Tr3JUB8PCcrZVKyThjMeO2WqDFJ2eiFCr97kkzS28ev0ypBByykVsK/bVb97mdNpYj3URsICKu544FqBez9Js0vHsGWniln3uEDjuLQZPqvnIZ+57vXnXd/xFU+XE2+STqLJyHlG+6IzZe7S0z8eKg7cm4u/6IwjbSD60n86tryZZ56tW6WP6FQZVVkXf0+aoqou3OAGN7jBDe5XXdecfTO34T2c6Wg0VNsjoMDIqSSAYT/6eQMQX141t77OKNL6Ko1rD9JsYtNABmTb4Pjiptl900tKAyc83Xa7aF/sbqO9BLAsARsCEDKBP+Nz22tBnmTKIw0P8btGybSUqd+gIVOuunvZmcmGUl/Epf+ay13TKZRxs3EzCHsrvS8QMW7yIKgPYBEE1hz2HafJuFbDAyA5m7wDWDzh8GOvu8hPeBs6QkiQnHomXLEZdk6+U9dMVVDn6I8NYvRhcpHd7yL5sUdJm6NDrp+SjHK9uYIAnWWb9ZWbHAjqeKYfwYRh7G1d310Th9sjX6JXCVT1OPZ587c9yxnJ4BCgqR+nFakjR5XS/qIGN6VIo++fZYhOzGcAlIeqQviAMg9jEtgDXsIy/EcwkqY8aq1YD7q8F7JULXqVF38BxuoLAKZ9iJjfbE8NkHdExF5613cUuia8uSKudQDfOuWpvAIlSUvsTb/IrGX6z7J1lK++v0Nqyo8f/fbRSgaVxHvqLsDJsOrRax3XsVMzRTithsLijJ4pb0mUG2U8OPiwPTr+tO2PjyBkYwCzU+Nq6lqm9kGipzmcfuWIQt3LKFQ3VdA1RFlfJPGT8Khr5LYsAqxIugiF+pckWc6VNw/TynoX6lw/zUuyMxpB2jjm470cs4kfMPY4rJ0npwdtPnvQ3BFvvIP8ftsL8C8JcDqfGe/rZOyNfEvsHe3M+p6MeHhQLjzXNsq3rvxLmQPewzopBwGiZROyTc7MXHf09lYqr/q0Rd3pF/ULIo23ALfpWFaVmlFI4KwbfmjWzxJ4XaMW2LrGT8RaofYhsUwobYOjRlpqJEkTyEgN7wgJo2uRso7MKbTodUx52Uky4vnYw9Ei9e6IXHTPWX+SJ9KyPqYeKCTyKnemUfk+SF2s99YbZ/4VDT95fyB7dJhn2CVyW+6xCeNJXS49J/+3lxzdt6S4Z13s3xXavu8A8+d1b1OdtpGojq5GRY4K19kA19ZFyyH3olP9la2kbUhanm0jLBPlU44iqam38W92+t/qPwriOiqI/b+JO0/KlS/O2hPP0k7kRj3zMP2Kp+pz0uJJ5dt7+jKc9tQ9f2tOcfqzbTM/5aHy65HIOz/121slj3l5W94+qnRtQxJ9/JK6chuWu3nv5N1bvy0WfvCf8XS6suAGN7jBDW5wf6kLTvumbsOLdi0jwe3y8h3teNjs3kOIbiAzBdJdmC9Bugec1HQqGhcPffqy53Cuf20+YKNAI8BvG/60All0SuPA883qKvFnLRBp0qxkRELgLkCxx1MMo/NZrcUgluSYFG0bkFtgIsi2dzY9u8RtfI6KeOTr+AJqR70gMjZgNpYKq/zVKNb21AX6uY8M2epX4E475TSo2fhJm04fENad3ZAHoqbO1N1y4+jOG2FTKHeARtfMCN7sxbYxE+gKkARffnvFEaCaKndbC8ohRCv8ruzxhvwE1N3WlsfZgMJ1P5lm54gTYE8QJNAIoEIX6FwXYAQYMm3VFIAOCMUj90xvmeIIWDQceQ7gCgAgDlvrRGSZSR3QEWEdbYqO1I9n9Ca1EDiGzODd0RjzmQ96eiScUTmyJ7CzsVdOPBJA//wLETDOfPB129GMKb/tua/1OlVO5lO7UCfXxOWom4BE2YkHeTOyIBCkvAMmQs4dEVIHAuEOrPCnFMZqvhUi5CogRKe9CT5xPagTvHJ9j+43KbublLPrbezpFvwLJy3jGWQjOyaStlPz4of8uumDRGuEPibYrITI6YITyQw6dKRrwtl1T96bopeJRIrwpmBZat/KHD7htU6xubb8aoQQwO43syBftZOjYN31SXMIkCNK++kEGLkdOARp6jbhkiV+z6cP23jiFNMHbb57ArCXrNl54QhpjfYJdF1zZ3nUlCPBtzvQQdbR1Zb1tbOpjEZyLflMJwlyUgvzp8qtc/mlPW5Rfy2flJOjFskd8fI8dq4/e/H7TgHru/Jou/HJAXGtgqNe8f7KtFQ7Koq89QA/tk2+fH+ZkLr0CBmE/Gh39T2kItfmPR9gdWqd9uqoEn+aT1cA5NnypbxCliBKXFtmrnUb7XbvtzferUFcKnt3qyeQlR8zYZ1VjzzFf0y0I57phEgYZTZe67Hh1Yvvv+oUskNKO3U9Y6YnJv+Gp+S8blPAeunc0V/ji0B1hf+iFR4SuCJfVRa+f5Q89TphjNv069zvIFjl5bvK8vKZduNo/oLfBkR6CY5R4BKWo+Ku1LUSIovcpmcMvpPUQewFHVTHXTnvq6/+u1ObO3dGLPIeu4vfX9CpcZmU4WgPfKUTNEf84VH5lbt/X4YsKTWJ9TrwiPzexPX58IEfk0ZY5Cxbq/Vl3EP++MP+TTB57XRbdmk8iayi4tLNa9IODm5wgxvc4H7FvW0NvoHrRwp0eannY45e2RjwEiYVG9YNRECQEhABQLBlSZOW3zb1xuVaFRtmR0gE44YBSDm1Is+r4c/BX7bcJny/wUK9/W14SJnGQP8C6zS4PtNHGiqPvvGyfSkQk/aD//JlfQjRCnCQNTyApFvInt93CoAzDPDENRs1ciQoosGyjUqMlZY/bJAlS2PA4uHBBwDffWQid4DwrLHh8YZDFQZIJX8ERG/RByBAopZ4upbO/KyQx6mLRZaQE7l6EJGGGGEE5rbUTgly6+JsXxyyJBhFWEVTMwFGNqjqgjT4t0SfK+4LaRIncahDiZWAxV3CAl4kFOi/T1MRq1G2XCs/Rhhdcx2Am7xU8skrP7wVe+GnsqkPdZPvJ60BVBDkmo4oMCXeQibIIQEowp2eeEdXKBd3dXN6mCMYbpuujSpvQKS2GeBBOuSzABv3yEdvp0rTkzHPTmcpWSN6hI/M/GdUyZLXxIm2oid74GvnrTpW69q63K2oJUnKktErwmljq5VTUmub/BAVyA1P81xw7HU/jc9Rn9r9zlEiRx4kQ+NM45MoRU/oW78TiZSjLfzVt5+UVx04SqDRmqPSp3k07dpEhUP9JnytU5J8jtzgIuuR9tts4oiSGzfsY+NOLT3k/kmbTk/aZPaw7fLbrfqhdaReBEn9Rv8cvf0oS8pCO46taUvKhU5TVoqInah4ne+VbesPtofGfxHt9e8H8xS7IC86CZRkzK1KJMiV5q1SSV/aDrJlW3BsWdvQRQb+pb68cepQAk6oTmd6EmSHGKGvezsVFNLf+C3/EZr/x9GrHQGK7ettC2NXassnH3H2j2eWYdle5cm0er145FJdec2V58je64w8JQOGTQqh9Twmn+Q/I7R5F+i/ewfyl04C64F1EXKUEZzerz7wn1EjdJswSccnBc/tDEmOfLcie54gRupLwlYdrFEp4y1An3dJ3kf65fr2Gj1Izrp1Rqm71S4YrXFGH/i3XamOK/OrM12vSzeJlOte1tIdrv/d+X3rz7WyaDTtjxaJjMiaKYC+f+K302siq6Om4vGIZ0YVlXEvZWO+yatxWA+9FTlz9kaVUWIiTsve+5Ii637k4c9UrZ/ZFt93iFk1EtIpHdehWKUF0zaRJDS4wQ1ucIP7H3F5pX5TJ9gXzPY9/gIe5/tLkmwofEHb0PiCri28bTA5Alp8zfvypxEgDomNDWU/2iH4cepeTQ0yLnuTXevkGh3XGNnQSmjchAAiI9C1ZcH5TGCdxoh7NryZapZ4yo9yZbSJOJUpW/H2vX95JrFwipq9lV4jD9f96El673AC/ujARsk/G/60isbbN9I7bTo5bHuCxp09fLmOByKyvmtLGBLBOyfA8HcBRNOUmC276XDVS6wcRXicnqRfe7rdhEHgUcQEr8gTwhN5OiKD/JK+bDFuueDR4w1oJX1Bhrp0gbprl6qXUpkEUOiQIzBIPXBdgKb0bEZM0zh1f+HsP84SDrSHWJZ36Sm6oyy4iFzRgSAEWVz3oI0EkAFKPQTrbuddxAjojW05SiEZ6qcmOdWutrF2REnSYPp9+QO11AGHQDDAvP+NH58XwJBomEaXJx5F5sipn9zSd/e7dJIF5MYXAlCk35ErR7BMZ4c0JDnOFksMCaedOcKhndZtnfkLbFIG7nmd6XA5HOFSPg7OjiTVrnwdIEfHjjjpt7fEMlvsHqKwSflZP4234g4YM17qqOSi1ih1ZwhodrYbuUnDQc5OsXOnSQ8/MuuW9m67P3MkaXKM/wN0NyFxy05ZrftmrupRXzetZ7FTZPJ5bKXXe+8sAn/mIPQWtsjro6ZsYlMWiM6b5oZ890dsVDtW11TysnnT99rpo9piHd7vy7x/z+jq7P2UAmffXZWWo0eu4fJ7Rl7nPZd1WI78Khu6VXhfFiSjXXu+t4eEf9E9f5nyZiomhd90QPX58jqBlKnO5bFz+KvRN3RIviJvJ7MpZPofQXSSY6e0SpIyLQs/yihprPDW9SIF+f6Th3bT6c28Vx7VgTqmXCGC2axC3fCOszPK5NOBYiZNg7/S6dv3pPeMM3UnNqkd+D7jLKG1Qyb51GcXl/+6o5ddDb4tb8upyGXlHz9Jzus+nK7KOWZmGrmoiPNuR3bv6Sfpeibe1BqubbdMJ7KkrMgv/9k2vnHqld/GVbZOaAIosc+UMX8h0MhrNBFQH2Vn2kelT7gy97xLc+gz+fTsrzpHJoPkXt3XJerBDW5wgxvcX+rqbfpX5gqA+OZ1LrsgzKk9WfhPu5ldmABXfS9fNQh4wr+NpA1R/xIPcRFc2pikQamGPr2p29Uo688MEJr/aUIhSI78eKdvGEJybIQ5jFP5bNyrsea36XrYWJkuMdpeV8MkULGRr0apvoUiYVtDRgS9yiWJkqDZGBbcy0YECVENZE3RME7T8WOtTrtx3QEAimsXNK+475Q7cyIZCXmJjNAhzm5UsIQk3SxdN3RBXAUYBA49QZLQhCTiXydJCTnSqdtckIK64SRR6oFoAUEfvdV/dNXF/6YMIhF+LAvLlvLI7mB5EsXlLEhQb5ZxgQLj41kyyH3KMOkkZIKljCyH+OdG7IG/gv8A9TT+2AxlLwly9E6i7O9aK1MbBexsebhZQK1/yYYD+NdfySCR00ZIM7bgaIL2VXkuGyl5Syek+QaAKFHltjaoKL8lN2F4Fmde+F32UuUieQ35UgmEdUcy7a/0RKySxi69pNDFoRz5KCr3og/lyeJzdQFV5LCY9edIbOmn9GWYPg5jlZRlu3Z+q99MHQOAWteSNzPX5UI5vJd4PJse8dtrbT12Rz03UHFq3e4IQrorOZhwSFLdkMC1Ua6XmuPnAD9zOIvkwfVhAmfqizZFciYbPaKrdGJQBurJZ1UuETkyx38E9Zofnct1V64kghUCSPswnV+9JPt40d70TylRltQF7TZ+Kh6fRLDOeT9TMH3c3+fizRRRp+hK3M07v/NNMtcOQSbrnVfEQQIRgmg5Cqp9cShQF19kUHB/+p8JmrZHbDc3/S9+kyHvJ8c4/tOOSm919K5sq9KwniWtzo++jC7/+ZxysG6XDZFvrov4eyZMZDAu46U+9/lDD438SpBoBZCl0tNFljfyV/r+9E2eehdSZJ3kuF2kYyidUfgzihxdOF2967hOnLq6H5JXl4lb8ua7w8M6VPaDq8TzzvUWOc1t65WJ+dv3ha6SVBumZyD9e0mdS5vUxcvNSrr86GLrOaqdKPnNc6QhXC9fF6/PjQtX5KuLiId5D/LbOq80dfg/MSQfxvPWqXKPN075IqAR9PEObnCDG9zgftH9xTfpf6TzHSu4yeu6a3Rt1IQobvs9Cjm6z3Xex2kUBAc0Vr6oeXtnVMaWw5d994IvAlKNk+/yNMn4lbQUWDPtvmlwHc4y63lM/01j1TUma+LKdDbSsYc+88AJk+l4xBlQxp2MMtjYm2AaEaeJGI8/9EcjLkginzZcAuS1adpLSp4kQxnxyQhNgeOky33jNtIAAGQUYPvBW/OinwUg2jysXCcEYFUnjl6tiWPFtfeWtzcZichceOJMg24PuiIio6MBWcdFfOqhGuJkxFzg1E2B3AAS4q1NHNSzPgzjNeE5UgYcllGBpHXCCtC7EkmwACbkqWkj6D5lrOvj7A50ZA92NfLV45oeZrJh6QvTAlwJlzIM4HcKSa0l6qc1SZuyqD2jQ/U9Hhe257s9HH7IdJRd1SRLkqk61IR6N42Mojn1TXuQcEY+/pLPynOukSl54XfMwEv8WmYB9dzzt3Zb8jl9VGJrWThy5DTNImHGESEqpa7cCvSotwCz8vDGxY5xPdnFZ8mT8ImAKlVh/O0HgLMDJH8kinyWoRujWDaSLQXuylO57hyJrG/+SEyKINa5RhXwn/JSBmJ1JMl1SSN0PHZDDDcl8Zhkuo/ybDlFzLqEX7+343N3dszoCmXWKKsaUdKOkP+WvJBOpiTe+wHibj2S+kL/kg71G/WRJ2WKzVlmsgFjQTbVkZGGyFz2Y/xqrUasBe6cCVP5rPgpTQ7JR5VDxWjcXTrag3dUXe77y/Qqft9n2mTZtiNtrt2CwEMitcdsnU76+lde85E6lxGkZIrwHImYMuNe8lCpJP0Qltipslj2RT50SmD47gdOvb51paM6KgmvTcdOEt8XHAiVdH2HI5vy+S6LLfBX68C6zhDiSJ6JJnGrB+so5SpR2mqO8NcoWsggrj4lgD8CGz42byzqG5uM/KQhgbfO3UOQXJPX+688eJFbHPxn+h75K1fT9SxP/fQkRBmsD1VSicA72Eyi9SCEclQHHLd6O7C+dCnUmiX/tJvSuufEwzPDGF9XpHG+H4rccuSam8bjtbrGr0mYps44fda3pUV66nlf3/Pu1CeXeW/wa3sbnRkQ++/vd6Jzr4J1g6w8S1JV/QY3uMENbnC/4v5KXo/p+adFSCNA61CjKR7OEZcY+CFUG5F6K9uwBzwBKHxz+1J3JMazjXEdHYBL3L7hddVY1Fvf3nmBgj2n1XtqSxMgYSNb3uts88HjfCxWQkCj36+7qPbDBrnAQB8wJ/6z4fMijRtBfvEs6CxyVSSib5gDvCFNPi+AV3ElF6SpntKwogfDu6uaTa7hlpvrAGp1twYgLp2Sde/6FUFsrZkImOFQB1FHWjnzUM42Upd0bCR9js78KwKI5gEBAtqaEuMoj7JXOOPKqBRpCBwdmaq8msdfLJc6F2CrwAHQxO85jXl3r4Ck0MQ/f9ukG8ry15/P1Af3EMQ7+hFcGRYOFb+SJKczIT2+DeM6nQLpTqOrwyl2fltI0gQwDaFygwBBNnFob44Aomenv2UqUWyIS/KUvEtikz+OyNOXGZ701+m4bBlJth0VcGG+4Fuw5KHdED45JQb8BdhYBo4oIFk2lwA4u8V71hglz8ZvOHQa5JSUkmYPkBIjHhM3tzK9Tlm6v9gtv8s+JcGQDcrQiuBOejsCz5Qx97RTruMnZelR5e3vnJHFhfiWk2lllztk7r+hFKIa8oMOJEcSowBm9MHhM7cKd/vqfA8I8Nwoq4wyUOjqarNR58gjKKd8LAPrdQFo3xfq2us6+K/sB6nq4I97IYuR2XwYxpFagDvpSc62kq76V04Jizaszo3BesT/1Ol6H/mMc3eYiu+Psg1+R+fatvWqiJF24ChaNn7Jb3TBX6ZDhiRpG8Rk3MRjDrKJBnJE7u6e//RYMqB/7ZTnlk9fTgL6yBGvCcA/LeCtU1VxecwPveTwP2VwVJO4kk551W5iWCkfUsr72Tpv3us9VB0+kp5d/GMb1MuMpHlYPyHAjpr1zvT6w0jfyMsRO0vcpVtHj2qNGCWMbqq4S7iIRj7qXEeNuClv6Uv5i2BwK/fVSdVVnTalX+PX5Wfi54hO652gi61xv+p5vT+1R+tYtvTv3nXlr3deqxP+RQbPxEtyaUO4kJCmo80zf97XKX+1lf6uOPs4Kh3lN81eNlzKvGZXlIzIu10HP9+Eq7Bvz0lmcIMb3OAG9yuuWotv6EI4ABbpUedF7lfT17dOGwNMbO7y0q5RnwKFNqiCWMFUgQUbB8lEEY30Wtpo2IgAVGwwbSycqudOTjYe9nwWaXjbMy9c8rrvbc0UMuK1R9KPd1ZmaYokcC5AptEX3hg2PanKIBoob7k2fpqs3KiRHxtw/XeNsGGRv3pblbWTwcbVtQ5E3/v3ufG8IQ88lKhJkBzJ2AAInEqXUSTIUXbQcgc6rl3wX/PyPYzHnbZstKuxs1FXL33Dqmw2mYH16D7TntR/AqgJn1IaTpd6Uw7KblNN+OSndJId7zpCFkCRxtp4TN/G3IYYqET51J/XlFMEwxvp7+4CHk0LGaQ3AitJhKNH7uSXKTD+TtzGiY4sM8BW/BJrJdul4ZlDkNavkwkIJX4XuGd7bM7GU73sBUoLjHtB/iAE5qtAkuTRBCSDRUALrPU2ldQTNvaqfsn0NiTBEZJMKUKWAHTS9hCYF0BGpqyFcuv3w2xkkG8G7e6hE7fiVh+VF8+RL7KYpulpVwK2SrcH58oWh19HT9R3yect9S+pIJRl6CihpMN47tfodgUg5og9O4pgnJaxz9/Sjj49I816CdOynNPhUYCxRhSxL+yozlW3s1OlhAk/1n3XLm3vdlPxICy1Lfsk8mYghYuARIG2FYebsb/k0zqj3fpc2XQKw0+Okrj+4kfy4J86iH2QPmkJ2p1yKaneRvcZ8bMc83Lw/aU+Ol1Hzx2QJc0+dnVQI7Qmr1zquezXuFLfPLRDyRHXIdDKgCySpNiztoXk0b3xkf7G0RxksAxMwL/onEOZ/FNPFc6R46r3ytf70Y4LQFcdkXyWXZgn86I/o+fCa+sE6YeYIIudIdFdOhasf0SY8FVPkkYpDFdpFLGXDJGu4ciz18mnySTtClv6VQ7eaZy1Oe2w840Mdly4c6f+zJR1jROuROY/Xw5eecNwyWf97vNlcuaiZPKoX71ePHR1si1QdxyJr/OXbFb8xpa0uyOjfRx9PL2zPPo4S75fdLZdtpmlZwUqXRrPW79Vt43kL+axT6vkeOt4Un8813vZIbnO5h6cSeKNXBye+7gGN7jBDW5wv+r6Vu4buQBJXvi+tG1mBIX2KG5omFcQpDRUgKSAYxvSgAV7uwRW3QvclzVv9jtHXtxFDILjWh6ndYS0GIdIiAtHjASwfYNtA1INQo2EOErkeg/XfThVxJ1PK12BjGCbe5mqIhgS6NiQGc4tsO21rAbJ8y9OMRE8hBTZqCsrpyzCRXZ7rQMw1MUvnI3bMP3oVN9LaK9oyAxh+52J1EnWOQFeHdUQsEbOO6cbAXAdSeJa+YmVWISFRlsgKQmYQ4CZ5yKsSE7e1Zog3jVPqk2A5+5wymd5VGPZyZZ4Kj/9RhlLp2EBZCRqRlA6ewsU3YbaP3Vj6AJBxGX6SaMjMs7x4FpiFGSrbISv3OjMHbEoZOSxUe8Ajj3ThFGusgVT9L7pmCb3vY5//riXMQZl5VmBw4q7bEstSuxrjVCAWcq4DvPtM0tcmWotmzDaX5JAR0+cVuZ0oknzg5hOLM1GBIDwHT/mCgnwueAxoyz4223j7ps2Tgl05MWdEM2PTvmIPzaP7kjQPOZ+dG3a3iv/pSef+ofjtvosG/andcNnlJ49/+Qndo+tS5K0K21NgJrF8NQdbTq64rqf0hXC6F8iN2JtHj1Tf8kkxIe6JdHWlv0dsiQ5cFSlrkPSJYTooh/tkyilTpo3jur9Voem0efBH+rfH2XLPdG1RmsLljg3VEhd838/tTLx6U9yQnmpb8laCJyPeGbnRQW3bqErdUHe1bkP/FMnVX/LZrWN1Gt/pIxIlwitxwVK66xTwpB9ZNW3eooO8+caQ4lR6dcyVYZM+6Nc+pHqjKQZJ0HxxbOy50ogsSa93FEnpFePsRHuZ2qp6SGSuvTYJC3ucR374qjRM+UmLu6bTk1fLAIf+WIvPXHx/VPlltEzdG6Zl57MZ72P1J8jUZnWbKeP9oiOSZTnpkmcSBObVKou7jdZ5Hff6WJ8Oh/5DsoeF6Rvu2NsHhWc9DP92TeBN9+WTw5upeTMS3xIrCtf9awjTMSf13UXe22CYd3iJ3fTQcOPvIa5X8VLIO5lJPm2O2s/RBFbsmPM8k1nXm9/lkf9xTa4qd/KaTmljt2bbgSIT86Vr2pPsH/qXK0L7O1QP2qiy4sXHoMb3OAGN7hfcbYN39hVw1qNX97lvHV9FftS9oW/WAvuucPLOEB51wXckqQCTza83rcX0kY34DQNdTUQukxN4c+pa2viS4PQveRtDHReZxcyQV5PbAhfjaGZtRE3HokUDRANZ3pa027YIAmMq+FP766y2Pg62pQcdQ2Yz/izsXODhh6s6cdGPbL5f5eX2kxBgMf/tEz5ZgZ30vtL4+XoinnojywYVw6YnWH7UZoACOOzcU4cnDnMPskmzWwHLFkxw/w2X9XjXCDB5r7XVz03Xi/xb5z5UT8TinjMh+uaQhaQoUuMqA3vVTXWtcZA/8rlA+/yP/+pB3+YdsBhfKjjSqNfpxX8aeKGTVkJBdAPZ/98pjyJS7ux/Pjry8A434Bc5F1L8CQF6ls9JT9EE7m1CUIjs8TUqY3qVJ277ksStfbYFJl0pEvSv7b8sceW6WJ+lBWCJDno5QUkZu0F4N8pXTXtSpBSnQLZbc+8+L/kQf8dqdVu39hNl0//K5k7odVtV1YB/1VY9YR7BUQJzxkPdV+98Ff245nDOgZQdUphRgijf55LhAXsHYgtsi9Q70lSF96otbWUaemxdpKLosk/+euIEVaeI5tlqBfybP6jM0hjrQ+yHBFDPShLlynL16w7fbfsw3xy4NdznuM/YNzH1nv+av2ReidtyRlg0el+26NaG+QmEr3Nqqa+PhUBqDzWOyTRJrHYmGnnJ3pWh/FbduxfPJT38ug9ZUR+/aQO1C0cqWr76L1IGpnKPe3NOidJW+O1MkssnM1fyZZ3UZ82eg9RScTqwqN0qizqQ/3VoYYkF/2UQbVNrCHFFadhTMcjntFvRv+7jVEiDXlK3F162n+IgP47l3hyVDxZa8p1Tz56V0Te0sdxW3sqKX2Wu29+9/Ll2j+uK90u79pg7KvqXZznvHsqLh4k3vrTGQ/vuky7RQ4ijb6RKaPk0UNfRh5vyz7GiN+8000+4Sqlt7KWrjzUT4hv9J6Qnb/St4fP+vL1r94NFd54SarkN4+pa75n7IT0nVIdAOmU4vlbu+B/9KoW8h0k4h3c4AY3uMH9qutajm/qfFP7crfhFugKSAV7NAS0BNWI1stZUOsOT/1caQHiSLKU3sn+hV+NRVoC399Gzz3DO7q0ceQj8fqw/NdznWFsVCQWpkfjYKPFExuLEel5DjFLfBHyjTxG2TdaRlmNlSTJ3nd7FxWG+z5Mw0uzKUkyQOfe9AJ34CY99sbhQRy1uN+G1ga1ZJQkGZ8AJI0hJCmLogmjDKap3z6MglYPs9OiTFzAQR4BpJnyQ1wFXO1FVmrCcPSAQT/Ja3RV5EV9vNVjPave6wIF6amVKACiel/696/irrz0AKI/l7iGl/hVvkvmCq++A4g7MGBjn3UjrUC0YMyRFz+iaVzKn2lX5KtPPXFyFGhURjdGcAv0jmxK7EzTCHCRO3GZfoHRJWFW95B5CJJlteT+GlCyIq01Qdekl2QFisrjuiYIUL8wPbt4CRAhArnnbm2Qp3v83XHPSURaUPBhpLDHW3kCV7gXgbgnQKYeEUrrc5QmIzRBXvpBFiuXwXiu7RXg0iYs66ob/uk5qsk1CZsc10bT9+Tf3tYHhZ1KqR4yapTdCz2sz55rtEnN3HdTR5MGR8od2TIKGttKLSH+sjPLz8PrAm8FsAXT6lHC5Jog9XZ/Z9kKPHvZyyb8XXFrX9xPOfTlYWZUhtoynHV8L/EKEp3e6BooN4jwEODnPN7LSJIbSsCgIu8vbnrQ589EUFWpDpd73bPYLgWaezjzzn/IKiDFFoiTBHySgyfJQ67xp8QpZ95ROdQw9etuy/LniQmXd9Io3x666Dl1THmMu9IIGO7zoSwdKVDWSrvKKM/9jziKCFtX6n1ScXUuWVNey4zyQ69eJ7TPknaR0S7GLkyl5XWkM7+klfcP/t++pypMVBgbTuDotCevupKZo/v95tyVf9lBxRPb4h2f+/6vfXbp+bTPv9c+977pZtTHc37ZjjkqrY61yRpNtT3JyJ4j/ZSXUwT1m3DEa9TpLOhi8Z+uTKRPV8dT2o7bO/WimVH+kuR0NHrUu7I/ImNX3Po1qorT0SKJ0bhlN0+PHTshxniw7tnWmXfroO/SIk21Q+vgBje4wQ3uL3O2Ft/Y1cvbF7Zgyl3Y1oBJRx2KJNnzmG8L+TK3veSZPb42AllXNHJESbAkyKKhxZ9xprFIoGoQvFcjQ05rkRDY+Fdj52LZavwq/kxHsfXwoFExHqfZZUGtf2nglSsC8s8G1MbfJsMeQ2OyMTddAZCHDVa1UCWVTpBSydThkzqEO9k1D5mzG92mNlqw4Ss/yiFYQQ7CpTcbsBaAgwAZaZK8GBfp2vAWEO3zahrVOKfBI3y+xK8OzWfu2VAKbHrnVYGm+A9IdkSuRoZMQ7krv+q6SJ5EqdZYVa+noIQYjInDv3KZEkYk0VDkJzaBmeUefUhWyFPSUnfl34SNg1/458LGG3KnR8vW/AUIqWP+aipif6gD5PWP+GIj6h1Sa4+vttLnL/916eVuyJEjRZu2oGyWHO4iuCSsOx+uJEgcS64XkMMbbVsZQ4h2Oe8Qj/mwPHaRxSk+XAtKnDqnnQHUbp3ayPWGvFminvte/Bz8F1KAXNFzZK7fjjq6QUI2ScjZ39YvIbQQruIM+SJIdE549e41yuOp99XFWxtOogI97HKzucnhDolOc60RI/1a5tqwfiSd2K9xRHt1+BeVqltcbIIbfX0ueyyd38d2BWr68VoQWzpy+qfX+VCvooUslY5C1GKPndgc9U7gLKDMSC7x3KtnAaGHJJt7pkX8AmanHKWX3VFsp9mFLEnSnG5XgDrTP984S9c8lTNfsVdc30lT9VlHuUS3dW3+jE+b9qx+eps3Tx5qEA1DyrVQiTi/IKCSJc1Ik/eeo5maWMijMvHYrd+d2uq7zrpcaWqH5dTNL55LbqUwYu9rH/WOkhS7YYnSIGEXxriJt4LxbydEM8BbX8Sndqq86/jFtPxLJtUBGcl7I4700bX1wbqSOp+AnaYM2x3lfvG6XPku15Np09cmTLf04FFhe7k8V4m+1ZMRvX1OeHRa74uuZqn7EEflR2eUwRbPtvSDTWaKqrFSKCW3qXJ4HdJW6cdetF/bwtiOcfm+ogxi150QuN62+kPd9fVZb9Y7/9cV+atOtowY5X1JuWEwsX/qQT51sD1r4909nmH3GdWGLMXmBze4wQ1ucL/stn7/93//7Vv5l9y/+lf/qrsa3OAGN7jBDW5w/ym6v/f3/l53NbjBDW5w/2m4X+hGG9zgBje4wQ1ucIMb3OAGN7j/tN1AkAY3uMENbnCDG9zgBje4wQ2ucwNBGtzgBje4wQ1ucIMb3OAGN7jODQRpcIMb3OAGN7jBDW5wgxvc4Do3EKTBDW5wgxvc4AY3uMENbnCD69xAkAY3uMENbnCDG9zgBje4wQ2ucwNBGtzgBje4wQ1ucIMb3OAGN7jODQRpcIMb3OAGN7jBDW5wgxvc4Do3EKTBDW5wgxvc4AY3uMENbnCD69zW7//+799314Mb3OAGN7jBDW5wgxvc4Ab3n7QbRpAGN7jBDW5wgxvc4AY3uMENrnMDQRrc4AY3uMENbnCDG9zgBje4zg0EaXCDG9zgBje4wQ1ucIMb3OA6NxCkwQ1ucIMb3OAGN7jBDW5wg+vcQJAGN7jBDW5wgxvc4AY3uMENrnMDQRrc4AY3uMENbnCDG9zgBje4zg0EaXCDG9zgBje4wQ1ucIMb3OA6NxCkwQ1ucIMb3OAGN7jBDW5wg+vcQJAGN7jBDW5wgxvc4AY3uMENrnNbv/u7v3vfXQ9ucIMb3OAGN7jBDW5wgxvcf9Ju62//7b89EKTBDW5wgxvc4AY3uMENbnCDa639/wCYT7kA0KK+awAAAABJRU5ErkJggg=="}}},{"cell_type":"markdown","source":"## Download the Model","metadata":{}},{"cell_type":"code","source":"!cd /kaggle/working/","metadata":{"execution":{"iopub.status.busy":"2024-06-10T14:38:47.456585Z","iopub.execute_input":"2024-06-10T14:38:47.456941Z","iopub.status.idle":"2024-06-10T14:38:48.406867Z","shell.execute_reply.started":"2024-06-10T14:38:47.456912Z","shell.execute_reply":"2024-06-10T14:38:48.405691Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"!ls","metadata":{"execution":{"iopub.status.busy":"2024-06-10T14:38:51.100330Z","iopub.execute_input":"2024-06-10T14:38:51.100740Z","iopub.status.idle":"2024-06-10T14:38:52.052521Z","shell.execute_reply.started":"2024-06-10T14:38:51.100705Z","shell.execute_reply":"2024-06-10T14:38:52.051486Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from IPython.display import FileLink \nFileLink(r'best_model_resnet50.pth')","metadata":{"execution":{"iopub.status.busy":"2024-06-10T13:34:57.932274Z","iopub.execute_input":"2024-06-10T13:34:57.932673Z","iopub.status.idle":"2024-06-10T13:34:57.939943Z","shell.execute_reply.started":"2024-06-10T13:34:57.932637Z","shell.execute_reply":"2024-06-10T13:34:57.938824Z"},"trusted":true},"execution_count":null,"outputs":[]}]}