# NLP Foundations

![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAeAB4AAD/2wBDAAoHBwkHBgoJCAkLCwoMDxkQDw4ODx4WFxIZJCAmJSMgIyIoLTkwKCo2KyIjMkQyNjs9QEBAJjBGS0U+Sjk/QD3/2wBDAQsLCw8NDx0QEB09KSMpPT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT3/wAARCAGkAvEDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwDc+IniO5/tA6RaStFFGgM5Q4LkjIXPpjH51weOa3/HH/I56h9U/wDQBVTw5psesa9bWczMsUhJcr1wBnApoRb8GqH8RwgqGHlvwRntXoZt4/8Ankn/AHyKS08HaLYzrNBasHUEAtKx6/jV7+ybL/n3H/fR/wAaYFH7PH/zyT/vkUfZ4/8Anin/AHyKvf2TZf8APuP++j/jR/ZNl/z7j/vo/wCNAFH7On/PGP8A75FH2dP+eSf98ir/APZNl/z7j/vo/wCNH9k2X/Puv5n/ABouBQ+zx/8APJP++RR9nj/55J/3yKvf2TY/8+6/mf8AGj+ybL/n3X8z/jQBR+zx/wDPKP8A75FHkR/88k/75FXv7Isf+fdfzP8AjR/ZNj/z7r+Z/wAaAKPkJ/zyT/vkUogj/wCeSf8AfIq7/ZNl/wA+6/mf8aP7Jsv+fdfzP+NAFL7PH/zxT/vkUnkR/wDPKP8A75FXv7Jsf+fcf99H/Gl/smy/591/M/40AUfIj/54x/8AfIo8iP8A54p/3yKu/wBk2X/PuP8Avo/40v8AZNl/z7j/AL6P+NAFHyI/+eSf98ijyI/+eSf98ir39kWP/Puv/fR/xpP7Isf+fdf++j/jQBS+zx/88k/75FH2eP8A55J/3yKu/wBk2P8Az7j/AL6P+NH9k2P/AD7r/wB9H/GgCl9mj/55J/3yKPs8f/PJP++RV3+yLH/n3X/vo/40f2RY/wDPsv8A30f8aAKX2eP/AJ5p/wB8ik+zx/8APFP++RV7+yLH/n3X8z/jS/2RY/8APuv/AH0f8aAM/wCzx/8APJP++RR5EX/PFP8AvkVof2RY/wDPuv8A30f8aT+yLH/n3H/fR/xoAofZ4/8Ankn/AHyKX7PH/wA8k/75FXv7Jsf+fdf++j/jR/ZFj/z7r/30f8aAKH2eP/nkv/fIpRbx/wDPJP8AvkVf/smy/wCfdfzP+NH9k2X/AD7j/vo/40AUPs8f/PJP++RR9nj/AOeSf98ir/8AZNl/z7j/AL6P+NH9k2P/AD7j/vo/40AUPs8f/PJP++RR9nj/AOeKf98ir/8AZNl/z7j/AL6P+NH9kWX/AD7j/vo/40AUPs8f/PJP++RR9mj/AOeSf98ir39k2P8Az7r+Z/xpf7Isv+fdf++j/jQBQ+zx/wDPJP8AvkUG3j/55J/3yKv/ANk2X/Puv/fR/wAaT+yLH/n3X/vo/wCNAFH7PF/zyT/vkUfZov8Anin/AHyKvf2RY/8APuP++j/jS/2RY/8APuv/AH0f8aAKH2aP/nin/fIo+yx/88U/75FX/wCyLL/n3X/vo/40f2RZf8+6/wDfR/xoAofZo/8Anin/AHyKX7NH/wA8U/75FXv7Jsv+fdf++j/jR/ZNl/z7r/30f8aAKP2aP/nkn/fIo+zR/wDPFP8AvkVe/smy/wCfdf8Avo/40f2RZf8APuP++j/jQIo/ZY/+eKf98ij7NH/zyT/vkVe/six/59x/30f8aP7Isf8An3H/AH0f8aBlL7LH/wA8k/75FJ9lj/55L/3yKvf2RY/8+4/76P8AjR/ZFj/z7r+Z/wAaAKP2WP8A55L/AN8ij7LH/wA8k/75FXv7Isf+fdf++j/jR/ZFj/z7r/30f8aAKP2WP/nmv/fIpPssX/PJP++RV/8Asix/59x/30f8aP7Isf8An3X/AL6P+NAFD7LF/wA8U/75FH2WL/nkv/fIq/8A2RZf8+6/mf8AGj+ybL/n3X/vo/40AUfssf8AzyT/AL5FH2WP/nkv/fIq9/ZNl/z7r/30f8aP7Jsv+fdfzP8AjQBR+yx/88k/75FH2WP/AJ5J/wB8ir39k2X/AD7r/wB9H/Gj+ybL/n3X8z/jQBR+yx/88k/75FL9mj/55J/3yKu/2TZf8+4/76P+NH9k2X/Puv8A30f8aAKP2aP/AJ4p/wB8ij7LH/zxT/vkVe/smy/591/76P8AjR/ZNl/z7j/vo/40AURbR/8APFP++RR9lj/54p/3yKvf2TZf8+6/99H/ABo/six/59x/30f8aBFH7LH/AM8U/wC+RS/Zo/8Aniv/AHyKu/2TZf8APuP++j/jR/ZNj/z7j/vo/wCNAFL7NH/zxX/vkUfZY/8Ankv/AHyKu/2TY/8APuv/AH0f8aP7Jsv+fcf99H/GgZT+yx/88l/75FH2aP8A55L/AN8irn9k2P8Az7r/AN9H/Gk/smx/59x/30f8aBFX7NF/zyT/AL5FH2aL/nkn/fIq3/ZFj/z7j/vo/wCNH9k2P/Puv/fR/wAaAKn2eP8A55J/3yKPs8f/ADyT/vkVa/smy/591/M/40f2TZf8+6/mf8aAKv2aP/nkn/fIo+zR/wDPJP8AvkVb/smx/wCfdfzP+NH9k2P/AD7r+Z/xoAp/Zo/+eSf98ij7NH/zyT/vkVb/ALJsf+fdfzP+NH9k2P8Az7r+Z/xoAp/Zo/8Ankn/AHyKPs0f/PJP++RV3+ybH/n3X/vo/wCNH9k2P/Puv/fR/wAaAKP2WP8A55J+Qo+zR/8APJP++RV7+ybH/n3X8z/jSf2TZf8APuv5n/GgCl9nj/55J/3yKT7PH/zyT/vkVf8A7Jsv+fdfzP8AjR/ZNl/z7r+Z/wAaBlD7PH/zyT/vkUv2eP8A55J/3yKvf2TZf8+6/mf8aP7Jsv8An3X8z/jQBQ+zx/8APJP++RXEePUCalaBUCgwHoMfxV6N/ZNl/wA+6/mf8apX3hPR9RkR7m1Ysg2jbIw4/OkB47iup8D+I7jTNYt7KSRms7lxGYychGPQj0561U8X6Nb6HrQgtN/kvGJFDHJXkgjP4VnaP/yG7D/r5j/9CFAHu+KKWikM4HWvCltq/iG/uZbiaNiyjCgY+4PWl0LwpbaV4gtp4rmaRlRzhgMdMdvrW5L/AMhW+/31/wDQRS2//IVt/wDck/pTJNWilNJQMKKKKYBRRRQAUUUUgCiiigArNtPEWl32tXWk292Gv7QZmh2kFR7EjB6jpWlXiWo2+oW/xF8T+INJYm40aeOaSH/nrEww4/IUAeqyeLNHiOqB7vH9lY+2fu2/dZ49OfwrRsr2DUrKG7tH8yCdBJG2CMqeh5rxy21CDWNM+I2oWrFoLmNJEJGDgnOP6V6f4F/5EXQz/wBOUf8AKgDPHxQ8JfafIbVlRw207oZAAfc4xXUwSx3UEc1vIksUihkdGyrA9CDXivhLUblfDGs6bbeFp9We5uplSYKvlqSAMEnnjrXpngLR7zQPCGnafqDE3MYLOuc7Nxztz7ZoAqXHxQ8J2tzLbzartlico4+zyHBBwR92uls7uHULKC8tX8y3uIxJG+CNykZBxXkHg691q1udfTSvC0OsxHUpC0skyJsbP3cN+ddHNca34p8bX2iWOqyaHbaZbRsUt0BLyMAefYZx+HvSA9CoryS28aa3eaP4d829Zbga19huZIwB9oQY+9+da/iLXtTtPGPie1gvpkgtdENxBGDxHJhfmHvTA9ExUF9eR6dYXF5Pu8q3jaV9oycKMnA9a8qi1XxJplj4S1ufxDcXS6rcRwy2rxgIFJx26nHf1qfUrjXfFcni+4h1uWxsdKEkEdmkYKyqFbdu+oB59/ai4HpOkarBrelW+o2e/wAi4Tem9cNj3FT3V3b2Ns1xeTxwQpjdJI21RngZNeWW+pS2/grwlZQ6zdWIuIGLQWFuZbqfBP3ewFZGqarqWt/DDXo7+/u5BpmoJGpmQLJKhYALIPUHn60XCx67e+IdPsNT02wmkcz6ln7PsQsrYGck9utaZBrzYXepaPrfgTT/AO1Li5hukd5TIFyw2qQvToOgrOTVPE2v+G9Z8WQa/NYpZyubexjQGPYmMhs9SRSCx6zRXl66xrnivxVo9nZ6xNpcN/o63UohQMA3OdoPTJHX0qCx17xZP4H1qGyuJr3UNP1L7N9oRAZvJH3iB3P6807hY9Y6VjeJPFeneFoIH1AzPJcsUhhgTfJIR1wPSud8Aau99qd9CniG51GBI1YWmoQFLmBvUnoR16e1Znj/AEu4uviL4YKancwfanZI/Lx/o5AGWXPc980Aek29wt1awzorqsqLIFcYYAjOCOxqTNebB/EHivxLrdjY+IJ9Og0RRDHsUFp5AOXf6kGslvFviDXdL8Ii01J7C71CeW1nlRQVcqQocr685+tFwsewYrMm8R6Vb6/Dokt4i6lMm+OEqeRyeuMA8HirGlWs2m6Tb299eteTQpiS5cYL9Tkj/PSvCtU1yw1G91LxWt9GmrwalG9lbljuaBOP14P4GgD3DUNc0/TNQsbG8uPLub5ilum0neRjPIGB1HWr+cnArzbxffxal4u8AX1u2YrmXzU+jFD/AFrtfE2rroHhvUNTkODbxEp7ueFH5kUAO03xHper6je2Fhdia5sm2zoFI2nJHU8Hkdq08GvB/BmraZ4f1/w5eQahHNcagskGqKC3yM7ZQnI9x09DXZT3eu+KPGniC1sNcm0q20VAI44UDeY+Dy2eoyD+lFwsejc0ma8ei8a60/gPw+jahcreapeSxzXiR+ZKkaN0VR1PP6VOPEevWXh7xNH9s1Oe3toY5bG/urcwygllDLyOetFwsetjmoLa+tbx5ktbmKZoG2SrG2Sjeh9DXmtpfeINL1/wnJd6/cXkWux/voXQKseVGNuPTcOfUVV8F2OrWl34zn0q+uLm7tZpEjgkC4uJTuw7f7Qx06UXCx61RXl3gzWr6XxHYW194h1BbyRCLvTtTtyvmPg58psYGP6V32iaVe6VHdLf6pNqDTTtLG0i7fKU9EFAGRd/E7wpY3c1rc6oUmhcxyL5EhwwOCMgU7/hZHh2S1guLa6muIprpbQGOEjEjDIzuxx71ifFmCFLbw+6wRKzatHuIQAtwevrSfFu2CafoEdmI7WR9VQK6RjCtg4bHfFAHop4OKK80TW9Z8I+J9d0691SXV4rfSjfRtcKAVkGBjjtyePpWLo/ijxEG0jU49Q1fUZLmYfbLV7Ii3EbHGUYDHHtRcLHrGr6xZaDpr3+pz+TaxkKz7S2CTgcAZ61maP478Oa9di103VIpbhvuxsrIW+m4DNZHxhP/Fub3/rtF/6GK5nUn1A+IvB0viHSLbTLRblBFPaOHaRsLtDdMDOP1oA9aeRY42djhVBYn2FUdB12y8Saat/pru1uzsmXQocg88GuF8LTeIdd8Ta7PLrsqWOl38qi12A7x8wC57AYFZGm+K9cufB2iWMOovFe6tqUlu16QC0aKV4HbPzUBY9Pj8QWUniebQF837dDALhsp8m047568jtWmQRXkkD33hH4g+ILi8vpNUns9FMqSzIFZsbdobHp61Xur7xRYeG9A12XxNdS/wBr3kayW+wBUVskAH6A5HvRcLHsdHWvJNc8TatqvirW7a21TU9Ph05zDbRWFoZRI4zy5HTJH6+3Pf8AhW+v9a8I2s+pRy2eoSo0cuU2MrAldwB6etFwG2PjHTNS8ST6JZC4mng3CWZYv3KsOq7vWt4jFeL+GU1DSfDPjPUrXV7pXtJ5owmAA75H70/7VaF1q3ifR/Bun3smuNcXmvSwRRO0YAtFIOSOxJ45+tFwPV6K83a81zwn4juNEvdal1SG60uW5hmlUK8EiK3I9uP5Vz0mreKrXwbofiRfEtw8l1ceQYHjUoASwBP948d/6UXCx7VWDrnjfQPDd6tnq18YLhkEgXynb5TnByAR2rnvDlxrOk/Ei88P6jrE2qW5shcq8yBSrZHTHTvW/wCOY4n8E61I0SGQWb4YqCRx60AJovjvw/4hv/sWlX5nuNhfYYnX5R15IAroK84XWW8MfBOw1Sxhi+2/Zo4o5CgypZsbvfFVPDWqa6niSwtvt2s6nYX0ZS7e6s2iFs5HDI3pmgLHqWahhvba4uZreG4ikngwJY1YFo89MjtXleka94hvPGUHhC41Y5sbqSS4vUkHmXES8iPp17f/AKqueCtOuY/ip4kLardOLV0MoIX/AEnIIAf6Z4x6UBY9JuLy2tHhS5uIoWnbZEHYAu3oPU1LivN/ilp0914g8MPFqNxAJrxYUVAMRNkfvF/2uf0pS2v+K/Fus6ZZa/PplvosaRqY1BaeTH3n+pBoA9HB5rmpviP4WttRksbjVkiuIpDG4eJwqsDgjdjFHw71278SeFYrq/2m6imeCSRRgSFcfN9Tmue8DafZ6hqXjeK/ghlhOoOr+YgOF+bPPagD0SKaO4iSWGRJI3G5XQ5DD1Bp1eI6V4ov9E+G1taadcyxG61aS1guFXe0UPBO0dzk/qa2LLxXrmhRa2xl1LUrGGy863udQtWiMc24Lt56j5s/hRcLHq1Z+ia9Y+IYJ5tOkd0gmaCTehXDjr161yXhvTPFcT6Nqr+IDf296gkvba5AVVVhkeX7j8Kw7PXfE1x4H1efTJbi4uI9YeJ3iQNLFBgElB3P+NFwseo6lfwaVptxfXZZYLdDJIVUscD0Hel0+9h1TTre9tSxguIxJGWUqcH1HavNLHxFO3hvxM9n4lur4W9mZIob2DZdW7epOMEf/WqWPWdb1+68L6BaarLYG50xby7u0UGSTg8D8v19qVwsem0V5FqXijX9K8PeJdNl1SSa+0e7hWK+UAO6O3Q1q2Nzr+h/ELSNPvNcm1OHU7RppI5UCKrYOAoHQZAp3Cx6RRXkVnr2uRatGuua/f6RqrXe0213bZspI88KpA/DP/669ePU0AJRRRQIKKKKBhRRS0AJS0UUAFJRRQByvifw1BrWsQyTTyxMICPkA7N7/WsyDwVa2V3bXCXdwzRzxkBlXB+YV1d9/wAhOL/rg3/oQqvN0i/67p/6EKAOkopaKQznZf8AkK33++v/AKCKdbf8hW3/ANx/6U2b/kK3v++v/oIp1t/yFLf/AHH/AKVRJrUlLSUhhRRRQAUUUUAFFFFABRRRQAVjaX4YttL8QavqyzPK+q7fNicDauOw9evetmigDj7L4aaZp+n63ZWtzcJb6uMMuF/cjJIC/n3p2j+AptGmtDD4m1d7e1I22zMvllR/Dgdq66iiwGL4W8MQeFbC4tba5lnWedpyZAAQTjgY+lbanac4pKKAMbw34Zt/DKX6208s3225a5fzABtY9hjtVLW/A8Oq6ydWs9SvdLv3i8mWW1YfvV9we/vXTUUWA5K4+G2kyeGrXR7eW6t/ss/2mK6R8y+b3Y9uf6Co4fhxbpc6lc3Or6hd3Go2bWk0k20kA4+Yce3TpXY0UWA5i58C2dzo2h6a13OsejSpLE4C5kK9A3/1qq6l8NrS/wBV1C7t9Uv7GLUh/pdvAw2Sn8f89a7GigDkJfh1a/ZtHFnql9aXelRGGG6i27mQ5yCCMdzRbfDfTrfQ9Y0qS9u54dUkEsjyY3o4Ocg45555rr6KAOVtvAcUN1odxPql5cy6MX8lpAvzq2MKfYAcVUu/hfYTS3cdrqmo2enXsgkuLGFx5bnOTjPIFdrRRYDCtvCVlZ+JbTWLZ5IzaWYso7cY2BB0565rPX4dWI07ULT7beKbu9+3LMjBHhk7bcdRz3rraKLAc9oXg+LR9XuNWudQu9R1GeMQme4wNqDHAA+gqzq3hq31fXNI1SWeVJdLdnjRANr5x1z9K2KKAOV1fwDb6jrN1qVjql9pc95H5V2LUjbMMY5B6GnjwBpkR0EW0s0MeiyGSFBg+YxIJLH6jtXUUUAVdUsjqel3VmJ5Lf7RGYzLHjcoPBxn2rHsfA+jWPhoaN9lhlj8pomnkiUyNuzls46810NFAHI2vw7tLddBU6jdy/2JK0kBZV+cFgdp9hj9a1fFnhmHxbpkdhc3U1vAsyyuIwDvx0Bz2rZrNk8RaVHqP2B72IXW8R+XzkMegz0zzRYV7FDxB4J0jX9JNibeOzwysk1tEquhHocVxvi7TorDxDdTRQeJ1up7RY5J9PjBjvjtA+Yj7p4Gfxr1SgEjoaLDPPfDvw++1/DvTNN1sT2d9byvcwyQttkt2ZiR+OMZFax8CCfSdSstQ1zUr19QRUeaZwdgUgjavQdOtdZRigDnpvB1rPdeH52uZwdDULCMD97gAfN+Xaq0fgCyj1XVrlb68Ftqob7TaKwCFj/ED1BByRXVUmKAOU03wFFZ6vYX97q+oal/ZylbSK4K4iyMdQMnj1rY0LRP7Cguo/t93e/aJ2n3XL7imf4R7VqUlAGL4l8MW/ieOxS5nlhFncrcoYwDuYdjntTvEvhq38TrYC4nlh+xXS3SeWAdzDsc9q2aKAMG58JWV54nutZuJJJDdWRspLc42FD1565rN0v4fLpctskOvaudPtZfOhszKAqnsCRyRz0rsKKAMjxR4dg8VaFNpd1NJDFKysXjALDac96xbL4cW0WpWl5qesapqn2Jg9vFcyDYjDocD6CuwpaAMTQfC9voE2ryQXE0p1S4aeQOB8hbPAx25rIX4Z6avheLRvtd1mC5N1b3QwskTn0xxiuxxRQByOn+AbbT9RvtSur6+1We7s2tp0uCp80HsPToABXnkfh261G50nStLtfEapb3omeHUUCwWig/Nhv4j7/417jS5OMZOKLActqngSG71u51TTNWv9JuLtdtyLUjbN7kHvXQaZYppWnW1lFJNKlugRXmfc7Y9TVa58RaTZ3v2S5v4o7gFQUbOQT0H41pUWFc5i38CWdvomt6Yt3cGPWJnmlcqMxluy//AF6m1DwZp+p+E7XQbqSYxWioIZ1IEiMowGHbNdDRQM5Sw8A29vc3V5f6ne6jfXFs1otxcEZijYYO0DjPvTZvh7ZS+FNO0E3twILCfzklCruY5Jwe2Oa63FJQBkL4cgXxlJ4jE8v2iS2+zGEgbAPXPXNW9Y02PWNHu9PmkaOO6iMTOmMqD3FXKKAMVPClg3hCPw5db7iySERZbhjg5DcdCDVHSPBUmlXEUzeIdVuvs0TRWqTONkO4Yzj+LA6Z9K6jFFAHF2/wv060jsngvrpL61u2u/tuFMkrHqG9uB+vrWnF4OhtvGU3iG1v7mF7kD7RbLjy5iBgZ7+/1FdDRRYDC8U+FLfxTbWiSXVxaT2k3nQzwEblb8az9R+H0N5fyX1prGoWF1cQCG7ktyP9JAAG5h2Jx2rraWgChoOi2XhvSYdO05CsEWTljlmY9ST6muVn+F9vNeahKuu6rBBqEzTXFvCyqr5JOD7c4ruaKAObv/Amj33hiDQ0jktre2YPbyRN+8icfxZ7k5OaLDwakUV4mrarqGri7g+zut1J8oT2A7+/WukooA5DSvh5b6df2M9xq2oX0GnEmztpmASI/h1xRF8ObCLRriwW+vVaW9N9HOjBHhkIxxjgj6119JRYDkofh9beTqxvdTvb291SD7PLdShdypxwABjsKdd/D+zuLTSRb313aX2lRCG3vYSA5UdmHQ//AFzXV0UAcefhrpreHL3S2vLt5L6dbi5vHIaWRlOR7Y/xrVu/ClreeJNN1iSeUSWFubdYgBtdSCCSeuee1bdLRYDij8MbORI7SbV9Sl0iKbzk093BQH03fexzXa0UUAFJS0UAJRRRQAUtJRQAtFJS0AJS0UUAZl//AMhOL/ri38xVeb/ll/13j/8AQhVi/wD+QnF/1xb/ANCFV5ukP/XeP/0IUxHS0UUVJRzs3/IUvv8AfX/0EU62/wCQpb/9c3/pTZv+Qpff76/+ginWv/IUt/8ArnJ/SqJNakpTSUhhRRRQAUUUUAFFKOaCCBzQIKSilFAwoowaKACiggjsaDQIKKKKBhSUtFACUtFFAhKKWo55oraB5p5EiiQZZ3OAo9zTAfRWIPFdrMN9nZajdxdpYbY7D9CcZq1puvWGqTPBBI6XKDLW8yGOQD12nqPcUWYuZGlRRRSKCiiigAooooAKKKKAEpaKzNU1yHTpUtYka71GYfubSP7ze7H+Ffc0xXsTapqlvpFp59ySSWCRxIMvK56Ko7k15pdPftdXVxJDFHfnU0fyi2UV8qApP5Amu58N2j32Nb1RhNqDNJEij/V2yhipWMfhy3U1xmpyn7VqEg7anu/KUf4VpDS5lPWzPQtI1iHVopBsaC7gOy4tn+/E39Qex6GtCsTxTYKLZ9VtH+z6lagCKde4LAFXH8S89Pyp1jr+btdP1eEWOon7ik5juB6xt3/3TyKzt2NL23NmiiikMKKKKBhRRXn1945vNJ+LY0e7lB0eVI48FAPKdxw27GeTxz60Aeg0V5TqfjbXrbw/4muY70Cex1dbWBvKT5I8n5cY56dTzXbeMdTu9J8CXupWUgjuooEdH2g4JK54PHc0XA6CivM7fxJ4n0CTw7c61qNtqdlrTonlrAI5Ii4GCCMZxmvTCMHB7UAFFFFABRRRQAVT1PU7bSLM3N25C5CqijLyMeiqO5NV9T16GwnFnbxteak4zHaRH5serHoq+5qloFjLe31zqWsFJtQgneCIL/q7dQBwg9eeW6mnbuS30Rw+qz3lxc6xNdQpb3JuImEW7IjwFKgn1xjP416Po+spqiyxSxm3v7c7bm2Y8xn1Hqp6g1594gJN94gf0uv5Ba7rX9OSezOpwSNbahZwmSG4QZOAMlGH8Sn0NaT2RnC92bNFYuk+IPtM6WOpxLZ6kyBljJ+Scf3o27j26itqs9jVO4UUUUhhRRRQAUUUUAJRRRQIKWq1/qFppdsbi/uYreEfxyNj8vU1hXfjRI7fzrHSr25iJCrK4EKMScAAtyc+wppN7CcktzpqK5mTXNdRGd7HTIVUZIe6ZsD3IGKgj8Yan9jF3NoGbbbvMkd2uSo/iCsAcfWq5JE+0idbRWLpfizStVkSFJzBdMARb3A8tzn0zwfwraqWrblpp7BRRRSGFFFFABRRRQAUUuKSgAooooAKKKCMUCEopaKBhRRRQAUUUUAZl9/yE4f+uDf+hCq83SL/AK7p/wChCrF//wAhOH/rg3/oQqvN0i/67x/+hCmI6SiiipGc9L/yFL7/AK6L/wCginW3/IUt/wDcf+lNm/5Cl9/vr/6CKdbf8hS3/wByT+lUI1aKWkpDCilpKACiiigDnviA7R+AdaeNmRltzgqcEciuI0HU7jSLfWp9PZ9NSP7LbLaXjNcP5z4JkVcn7wPAzg16jf2NvqdjNZ3sQlt5l2yIejD0rDudL8M3uqT211ao88xitXJ3AO6LvRQQfvKozntQBx9z8RNft9NtJRBE89x9otkTyMM08cgAyM8fKTkeorrfDd6PHHhy7mv1D2F1O0cKJmMmJcdSDnO7PPFXdN0PQGiiXTrOJksLqQpgsfKm6P171p6dp1ro+npa2EC29rFkqi9Fycn9aAPKdGux4Z0B77Ton/tC71iTTVmcPP5cW7IxHn5iNuB3rV1Dxr4jsbbQvOS1t7jVHa1ZJoSpicShRLtJztKn7p6GuyTw7ol5optYbSKXT7iX7SNrEhnJzvDZyD7ion8GaFLGkb6ajhYvJXczEhd27gk9d3OetAGX4Hnv5Nd8VR3t81xHDqBSNWX7nGeOeBjAx7VyekeIta0/w3bw6ZcW6hba/vHa4iMhbypjhRzxkcV6VZ6Zp1jq91NaxpHfXSh5wGO5wOAxH4YzUKeFNFjh8tNPQIIpIcAn7khy469zQByP/Caa3JqMlwj2i2EE9jG9uYSXcXCKTh88YJ9Khn8Yaxf6UIRcQwtPZ6g7SJFhlMLYXHPHFdJp/gTT7fxJd6pcQxTKzQNZR/N+48tNozzg9AR6UlrpHhaHWpkt7BVuZJZbWRyG272QO6cnHzK2eOvPpQM0PCMlxL4Q0iS8n8+eS0jdpMYLZUEZ9Tjv3rYqtp2m22k2EVlZR+VbxDCJuJ2j6mrNAhKKKxNR1C8vr+bS9IMUZiUfarqQbhFuHCKvd8c+gppXJbsRJq+qavJI2jLawWaOUW5ulZzMQcEooI+XPGSeaaNOv9V1BG14Wz2tqA0UcGdk0h/iZT6DoD3NaGmaemlaXa2MTFlt4xGGIwWx3q1V6dCNeouaoatpMerW4UsYrmI7re4Xh4n7EH09R3FXqUHFANFfQtQk1PSIp7hAlyCY50HQSKcNj24z+NaFc5/Z+raW9zPpV3DOkszTtZzx7QxbqFccg/WtfS9Th1bT47uAMobKsjjDRsDhlI9QalouL6Fykpdp9DQQQMnj61IxKKp3Ws6bZHF1qFpC3915lB/LOazW8YWUs/2fTLa91GfGdsEJCgepZsDHvTswukb9QXt9a6bbme9uI7eIfxSNjP09awLi98Qz3dpA6Wmlw3UjRhlPnzDCls9lHT3o1Lw9Y2VgLqVpry9E8P8ApN0+9x+8Xp2X8AKdu4r32HXmq6rqljcS6TC1haRxs/2y5T55AAT+7jPT6t+VaOgaVbadZRSQKTNcKsk08jbpJWIByzHk/ToKtawf+JTf/wDXvJ/6Cadpv/IOs/8ArjH/AOgilfQLalHwv/yBk/67zf8Ao1q881E7rDUpO/2qVvyl/wDrV6H4X/5Ayf8AXef/ANGtXndziTRrxv7zyt/4+TWkN2Zz2R6P4kbOgXZ/2VP/AI8Kn1WxttS0+W3vYEmiKk7WHQ44IPY+4qprzbvDM7esSH9VrUmH7mX/AHG/lWZoctpS67pml2txA51ezeFXMErBbiPj+F+jD2PPvWxpniLTtVkMMNwI7peHtphslUjqCp9PaptDONC0/wD64J/Ksyw0qw1W2v1vrSKfGoXG1mHzL83Y9R+FPcWq2OhIx1pK5W3sNUtdUvbTSdWfyrdInSG+Xz1+fdxu4YD5fU1Z/t3VbKZINS0VpZWUsGsJRICBjJ2tg9xxRyj5joa871HwrLr/AMQvEMV1bypZ3WmIkVyVIUSgqVIb1BH866qPxhoxO24uJLOToUu4XiI/MYq9b63pl1xb6lZy+yTqf0zSsxpo8Zj0DXz8PNegvdPvH1CbU4pCvlEtJj7zD1HvXX69r134l8EarpcHh7WbecWi7TcQYDkMowuCcnv+FehrIHGVdT6EMKCcdXH4tSsO5xnhL4f6Rp9vpeqTwXUmoxwIwFzMzCFyozhT0x+ldnVa41KytBm5vbaIf9NJlX+ZrOm8Y6HDwt8tw3ZLZGmJ/BQaaTFdG1RXPnxLeXUyQafod15kilo2vWECkDGT3Pcdqr6ha69ItqL7VUt0uLlIWi09NpVTnP7xsnPHoKOXuLm7G3qes6fo0e7ULqOEn7qZy7fRRyazTJrWur+4RtGsjz5kgDXMg9l6J+OTUeqaJp+k+HNQe0tlEphO6ZyXkbkdWPNdJnK/8B/pT0QtXuYnhSxgtNAtpYYgJbhBJNKTl5GPdmPJqfRCc6j/ANf8v8lp3h058Oaf/wBcRSaIPm1D/r/k/wDZaQ0tjzzVz5n/AAkDet1P+h/+tXouoNu8NXLetmx/8crzq6+eDVz/AHp7g/8Ajxrv5X8zwcz/AN6wz/5DrSfQzh1JZdKtNX0mC2voRJGY0KnOGQ4HKkcg+4rG0m+1qw0yKe4jbVrIlhuj/wCPmIBiOR0kHHbn610tl/x62/8A1zT+Qqj4bP8AxIbc/wC1J/6Mas7mlifTtWstWjL2NwkpXh06Oh9GU8irlc4NEsdW1LVpJ42S4S5CpcQuY5U/dr0YfyPFRpJ4g0/UnsraeDVYo4Vlxd/upcEkY3qME8dxTsF31OnorAbxZFZyJFrGn32nu5wrPH5kbHvhkz+orQtde0q9YLbajaSMf4RKA35HmlZjui/RQPmGRyPbmjB9DSAKxdd12Wyni0/To0m1GdS4EhwkCDrI/tnoO9ad7dx2FlPdzH91BG0j/QDNcHbx3d3PPI+X1HU7cSXLO22O1ibOxAOpbHb61cI3epE5WVkSW8VzeXD3yQvql042Q393tSGL/aji64z374p7W1nYLJqBE981rv3TzTsxEw42hDwCSew4plxNut7DT7a7R9UiZY1a3ztTHBLDpjb2PemXtjbwRusU13LNDdQmcvISJCzA5K9Onp6VulY52xZbW7ljfS3dXvLwG4vJT92FCQNoHf8Auj8TTr64/tKOR7h2i0qOXyhGi5kumBxt9lzxjvVu4ul0/Vr69uFIt2gjAk68hmyP1BqjHfW1tpMdvbzW95diQmBFIb94WJBwD2z1pi0GarcWuoApeSz2q4ANrJAN59CnBIPuKv8Ah3xOtpqKaZe3ksltKMW8t0hSRH/uMT1B7Gor/P8AbGkbgDOGcEgdtnzY9s4rPv5BfXnkSFZrS4LQFWXDRSKPX8KHFSVhqTi7npeaKwfB+pvqGipBcs326zAhnDDk4+63uCO9bwFcrVnY64u6uFFZNx4n0u0ZhcTsgErQq3lswdlALbcA5AzgmtOCaO6gSe3dZYZFDI6HIYHoRSGOqtqeoR6Vpl1fTHEdtE0rZ9hmrEzrbwPNLuEaKWYhSTj6Dk1BqNja6jpk1vqEPm2kiZkQ5+YDntz26UAeNadrU58C+KbKW9kmmltYtQVm3KyM7KJFGecA46cc133jm/Sx8CwQvcNA2oGC08wZyisAXYY54UGt288P6PrCJPdWKTBrfyATlcxHB2kccZANWbjTLK6mspZ7VXexbdbFs/uzjGR+FIDz/RfFmoT+H9B0vSLqAXbzXFrJc3EZcBYFLD5cg5ZdtQQ/ETxBexaf9jto5ZvsUd1NHFal/OLSlSuQf3YCjrzzXUeJ/B8GoWE32CKwtZpJzczy3KORnaQWBVgVOO/T1qt4c8OeGdT0OwijCaidOjEPnkNGx/j5HGVOcjPGKBme/irXn1TyhcWi2t1d3dlEv2c74THGWVyc8ntit/wBPd3XgfTLi/ujcTSx7vMYYOMkAH1PHWrUWl6EdVNtFDCb23dr3y8kshkypfHvgirVjp2neHLAW9rGlpa+Z8qljjcxwAM+p7UxF+io4J47nzfJJbypDG/ykYYdRz1+tS7TjODQAlFV768i061Nzc7lhVlDMBnaCcZPsM81YoAKKKKAMy//AOQnF/1wb/0IVXm6Rf8AXeP/ANCFWL//AJCUX/XBv5iq83SL/rvH/wChCgR0tFFFIo52X/kKX3++v/oIp1t/yFLf/rnJ/SmTf8hS+/31/wDQRT7X/kKW/wDuSf0pkmtSUtJQMKKKWgBKKWigQL1GelcLEzWn2a7uQ5W01+5a7dULGMMHCsQOcYZOfcV3NRxW0MFzNcRJtln2+YQfvEDAOPXHGfYUDPPWsJr2S4lKXi28sOo3dvsLplt6eWxAxz1IBq7Essvia3Fz9ruZLqJFdGMkbQqYOSMfI0ZOc5wQxruy59aQsSMZOKAueaabpj3GiRxWaXiGHQpfLQPIoW53Mp6/xc8fpVo3rX8jzSNenSjLZrckLIvyiJt3vjft3Y/GvQDnuTS7iDnJzSC551qllGslxNp8eoGaXRSLWSXzPMba7ZH12YwDzjHer0Tf23r8Uim7axk1MsvDxqyrbAj0+XcPoTXcbj60EknkmgLnmVkL59LvZJrm6F6I2F/BEk3mkecMtk/KCFzjb1B4q7Zw26RSLYRzLDJ4hga0MivkjYhYjdyV2h+fTNegbjgcmoZbeKe4hnkTdLDu8sk/dzwTj1xTC5Mepx0ptKKKAErnfDf7uTWIZOLhNRlaQHqQ2Ch+m3H5V0dZGp6G1zeLf6fdNZagqbDJt3pKvXa69/Y9RVRZEkX6KzPs/iP/AJ76SffZIP60n2fxH/z20n/viSq0FqadFZn2fxH/AM9tJ/74ko+z+I/+e2k/98SUXQamoBk4rM8MBZX1eaHBgkv3MZHRiAAxH/Agajk0rXL4eVeanbW1u3DizibzGHoGY/L9QM1tWVtDYWsVtbRiOCFQqIOwqWxpanMzv4ba6lM2uTBi53r9ucBTnkYB4+lZ+mjwnNZBtSu4pZd75E90543Hbxn0xUy+DtViMix3GnshkdlLq+cFiefzpT4S1g/8ttM/75er07ke92JNHvPC1lfagYpNNiTzV8lto+7sGcH65q4fEWjjxGJhqVt5X2PZu38Z35xWd/wiOsdp9NH/AAF6P+ER1n/n403/AL5ei0e47y7F3U/EWkSalpLx6lbMkU7s7B+FBjYZP4mjXfEWkXGl7ItStnbzojhX5wHUn9Kpf8IjrP8Az8aZ/wB8vS/8IjrP/PfTP++XpWj3C8uxral4m0aTTLxE1S1Z3hcKA/JJU4FPsfFOiR2Nqr6paqyxIGBfoQBWKfCOs/8APfTP++Xpv/CH6x/z8ab/AN8vRyx7heXYv+HvEWkQaQI5dRtkcTTNtZ8HBkYj9CK4yJC/h1z1LRO35kmukk8KavFBI7z6aQqEnCv0ArCtdv8Awj8f/Xt/7LVxS6ESv1Op1HxHpE/hYxLqNuZmhjGwNzkbc1pzeKtDMUgXVbQ5UgDf7VzVj4Y1e60y1lin04RvErLuV84I71OPB+sD/lvpn/fL1PLHuXeXY09G8TaPHo1lHJqdskiQoGUvgg4qLRPEWkQR3wm1K2QtfTuu5+qluDVL/hENY/576Z/3y9B8I6z/AM99N/75elaPcLy7GhbeJNGj1/UZW1K2VJIoArF+Gxuz/MUs3ifRv7etJRqVsY1glUtv4BJXA/Ss3/hD9Y/576b/AN8vS/8ACI6wP+W+mf8AfL0Wj3FeXYua5r+kXbaYF1C2lSO+R5BuyAoV8k+3Iqn4jn8KXOi3jRHS5Lop8jLGu/OexxS/8IlrP/Pxpv8A3y9J/wAIjrP/AD8ab/3y9Ncq6j97sSyQ+Awj7P7NXg42OV/karabD4KfTLVrtrBpzGDJ5krE7u+eaf8A8IfrH/PfTP8Avl6P+EP1j/nvpn/fL0e73Fr2E0V/CFut15v9lBhdy+WXRSQmflwSOmKvWGu6Lba7qMkd/aRQyRQBCpCqSN+cY+oqn/wiGs/899M/75el/wCER1n/AJ+NN/75ej3e4e92L9x4l0c69ZyjU7YxpDKrNv4BJXA/Sl1TxNo0rWPl6nbNsu43bD9AM5NZ3/CJax/z30z/AL5ej/hENY/576Z/3y9K0e47y7F/xF4j0e40C9hh1K2eR48KqvyTkVoN4o0MA/8AE1tOn9+uf/4RDWe0+mf98vS/8IhrP/PfTP8Avl6LR7heXYvaB4m0e30Cxim1O2SRIgGVn5Bp+jeJdHRr3zNStl33kjrl+qnGDWafB+sH/lvpn/fL0q+EtZTnz9M4/wBl6LR7heXYwkUT2Ny6HIlaZgR3yWxXSR+ItKHglIG1G3E/9n+X5e7ndsxj65rm9Mb/AIlUQOMlWzj6mr+ieHNU1DQLK4gmsFikiBUOrbgPfFXJLqRFu+h1Np4q0NbaANqtqCsaggv0OBVLQPEekQaLDFNqVtHIGkyrPgjLsR+lUP8AhD9Y/wCe+mf98vS/8IjrP/Pxpn/fL1Fo9y7y7F/TfEWjxXmqNJqdsokuQyEv94bFGR+VLH4l0YeIppjqVt5bWiIG38Eh2OP1rP8A+EQ1n/nvpn/fL0f8IhrP/PfTP++XotHuF5di/feJtHbWNKkTUrYxxvLvYPwuUwM/jVPxLqfhq/sFHm6dPL58WTtBbbvG7nGcYzmmf8IjrP8Az30z/vl6P+EQ1j/nvpn/AHy9O0e4ry7EV7F4MisbhrG5t4phGxjENy6/NjjAB9amgXwx9mjLa9OjFBuxfuMHHPegeEdXHSfTP++Xpk3g7WJYJI/tGmjepXO1+M0e73D3ux0Pia3e88I6jHa5dntiUxzuGM/jkCuY/tmBPs14qKILtUWWXJ+X5cL9Bniu5tYzb2cEJIYxxqhI6HAxXH6l4Nu7e4ll0VoZbWUlnsZjtCk9djeh9DRTklowqRb1RVW4k0fTkWxaB44CzSBl2llzkYb1Hv1plmdVvruS/tI0t7e5RcvdDl8dCqjnoe9Zd1oU9tLaC+0eWytnuER3M6sjei4B71u3onu9QjtfNlihEZkkePgtzgKD2/CttOhhr1ILmytLdzc69eR3O3/VQldqKfUJnLGlivXJEsGg3CtyIm8tE+X6np9Kghu9Ls5mFhYSyyqSGmWMs2f95u9MW/vGj8q1M1um7fJPdYd29gOwp2YronaU6fMdR1Z0Nyy+XBbQ/NtB6qv95jxk9KziJbYWc1zGSTPJPOVGQhKn9B0ps+rM7Yk1WzBHBeOIlh645IFKZYZ5Hex1REWRdsiNhh9QDjBp7CbNfwlK0XitR53mi6s3LMOhCsCp/AMRXejORiuH8E2X2jVZL6FT9itbf7NDJ2kYkFiPUDAGa7jOK5qvxHVS+E4LSrxdKtfDV1f+YFh+2pOyRM5EhboQoJyTms42WpW8GnW87vYQm2L2wKSkxStMzcCP+MKU4bjr716TBBFbPM0CbDO/mSYPBbABP6VJuPr1rM1OBuywt9Xy+qf22Eu94TfsMf8Ayz9sY27dvOc+9PuWmj8RX2xrqaaSCXGPMRoR5PA/uPGSODwwY13WTjr0oBOMZOKAuefxfa2vLYSG+Gq77L7GTv2eRsTzc/w/89N27nOPao7eyuYbKN0l1KFruxumuZU3yOCJV2HaT2BPAwcZxXooJweTS7j60Bc5LR5Zm8E6t9nsjM0fnpDEzyPHcDaPuB/m2nJG0984NVfh/JJb3dxpql5rZYVlS9khdGuPuqF5GBsA24+nvXbliTkmkLE9TxQBwMX9rDW/7fhtkWO8uZ7cP83mmMjZFuXHCho1P/AqqT2ljeeHsiLU5Hja1e+EvmFRIJRvJB5343Z28Yx7V6RnnNLuPqaAOFnwLmQaqb3+yRe3XCeZndtTyvu84xux2zVeKDVNy3d59t+3wSaaASzcbuJMgcHg/NXoQJ7E0uT70Bc89tn8uDxHHO11PEbSdpZ5/MQglmwjo3y7h0Ur1UDiu40xZU0myW4z5wt4xJnru2jOfxqS6tor2ERXKeZGGVtpPBIORn1GQKmJzQAlFFFAGZf/APITh/64t/MVXn6Rf9do/wD0IVYv/wDkKQ/9cW/mKrz/APLL/rtH/wChCmI6WiiipKOdl/5Cl9/vr/6CKdbf8hS3/wByT+lMl/5Ct9/10X/0EU+2/wCQpb/9c5P6UyTWpKWkoGKOSBWF4b8V2/iabUI4LS6tzYzeSxnXG/ryPy6Vu0bAM4AGeTgdaAOb1DWL6BtdEUqr9kltVh+UHaHK7vr1NOPi8qHLaY/zZ+zgTA+aRL5WDx8vJB+lF/HoL+IvLurx0vpTEZLVZG2SlTmMuoGPpyOlWZ/D+mGKOGUyJuDRR5l2tln8z5T/AHgwyPpQBip42fTVnTUovMuPtVwfLEoykaOFCrx8x54HFXJfGEkdsLn+y2EL3MlvG7zqqnYSMk4wpYjAB6nuKvR+FbSFkeGa+jlV3dplnIeTeQWDHuCQDS3XhzTjpxt5pZ4LcySO5E5QN5h+dWPQgk9PyoAzm8UXlnDqc15aQBLa88mEGcJldgbB45b6evtUg8ZILhS1jILMmNWm8wZUvEZR8vsBitC48LWM7SHfdRF5fN/dSldrbPLOPTK8GhfC+nxoiiKVlWSOTDOSCUj8tc+o29fWgCno2s32oapftNbmOMWMFxb2/mBs7t5644JwAfpVG78bxXenXqWEMiXC27Mkm4fLiEuzD12sNv1rUsLHT/DuoxxRzXT3V4iwoJWaU7I84HT5VG7qfWo30DQrSaC2aIxy3UE9pEATlkcmSQA9u5oAqy+L3srCVrqzCXFuUWQPcqFYNHvBBxyTjGAOvtVzSNbutQu9WM0EaWtsIntyG+dlaIOQw9eafqHhzSnjmu7h7iADDPLHKQQFj8vH0K8GrljoVrp7zPbecRPHHG6u+5WCLtBx67QAT3xQBjv4yVbQTiybDQW85LSYVBNu5ZscBdvJ96JPGtvFfx2rWp3FUMgEoZlZ0LDAGQVGBls9xVuHwjZW0TxwzXyFgiq4uDujVM7VU/3RuIwc9aSy0TS3lmjspblBbBbWeGOVlRiE43DudrDn8+lAEj6/JF4Yh1iXT2QzBGEPmbvLVyMM7AcAA5PHFQSeKFju9Pia3jxeBOVuVcqXJAIA6rx1468VqPpdu+mQ2CPNFFAFETxSFXTbwDn/AB61Qj8JaZBNBJALiPydnyrMQrlGLKWHcgs350AY/wDwlN5d2NmtpFJgS2n2i5d1VgJZB8u0Dn5evTrXZnqawh4R0xHt2jN0gg8r5FnIWQxnKFx3xW53oAKKKKBBRRRQMKKSlAyQKBBRXP2Wpa9qNt9pt4NLWFndUEkkm7CsRzgY7VP5niP/AJ5aP/38l/wqrCubNFYvm+I/+eWj/wDfyX/CjzvEf/PHR/8Av5L/AIUcocxtUVief4k/546P/wB/Jf8ACmtc+IkUs0ejKoGSTLKAB+VHKw5jepKwFvfELoHSPRnRhkMsshBH1xQbrxJ/zw0f/v5L/hRysOZGrqrbNHvn6bbeQ/8AjprzWziI0iCP/p3A/wDHa7C7PiG9sZ7Z00lFmjaMsry5AIx6VkxeG9XjiSMPpxCqFzufsMelaQ03Mp+89DpvC77/AAtpbetsn8q1a5XTo/EOlaXb2MS6TIkCBFZ2kBI9+KmbUPEa43RaKMnAzJKMn8qhxbZopaWOjornhfeIu8Okf99y/wCFL9u8Q/8APHSP++5f8KXIw5kdBRXPfb/EP/PHSP8AvuX/AApDqHiIf8sNI/7+S/4UcrDnR0VFc5/aXiL/AJ4aR/38l/wpP7T8Rf8APDSf++5f8KfIw50dLSZrnBqmvksPK0cleoEkmR9eKP7T8Qf88NJ/77l/wpcjDmR0eaM1zR1bXx/yw0n/AL7l/wAKjGt68XZFi0Yuv3lEsmR9RjinyMOdHU0tcv8A2x4g/wCffSf+/kn+FA1jxB/z76V/33J/hRyMOdHUUVzH9sa+OtvpX/fcn+FJ/bWv/wDPvpX/AH3J/hRyMOdHUUyY7YJG9EJ/SuY/tzXwf+PbSv8Av5J/hTH1vXJ0mg8rSQxTawEkhKgjrjFHs2LnRzWlqBp1sT3QH8+a7bwUw/4Q/Th/dRl/JiK46DStRht1gSfTG+zoFbMjZXA6t6VqaRc67o+mRWcUOmSxxliGaSQE5JPYe9aTV1oZxfK7s7miuTGv68PvWulj/tpJ/hQ3iLWlZFaHSVLHCgySAsfQcc1n7ORpzo6ykrlTr2u/8+2l/wDfyT/Ck/4SDXf+fXS/+/kn+FP2cg9pE6uqOt3smm6Je3kAUywQs6Bx8pI9awv+Eg1z/n10z/v5J/hVXUtS1rU9NuLN4dORJ0MbMryEgH04oVOVwdRdDotE1yHWrdmCmG5iwJ4GPzRk/wAwex71p1wkkMqTRXdlIIb6AYRyPlcd0cd1P6dRXVaLrUOsW7EKYbmI7Z7dj80Z/qp7HvROHKEJ30Zo0UUVmaFbULC31Swls7xC8MowcHBB7EHsQa5KXw1r1oxS1ntryEfcaRzHJj/a7H612tFVGTjsRKClueb6zo/iCwtPtU5hFsp/ei0y8ka/3uR09cVhiJJLoxXU8syOA8JeT5XHce5r2X8vxrzPxLo8OmaxJZBALS7Rp7bPSN/4lH0JBH1ranUvozCpTUdUVVRYhtjRVHoBinafp8et65bWUcKSbHWW5faP3cYOcE+p6YrY8NeEtP1jQbS8mur7cylZYknwu4Eg+46dM12OnaXZaTbeRYW6QRk5IUcsfUnqT9aJVOiHCk73ZbVUjQJGioijCqowAKXqcUlIa5zpMHQ/Flvr2r6rp8Fpcwvpsgjd5VwsnJHHp079jVbWtU1K01DUpbW7CQafaw3H2do1Ky7mfcCeo4UYxXThQCSAAW5JA61g6vbaEmtRSapfNDPcKiG3MxWOYKx2bl9Nx78GgCv/AMJxam4uY47RnETMiYkG5nDhMMMfLljwfapLrxLNY3yx3VjPHN5JxbiRdjv5qRqQ2M4O8c+meKswaNpl9FePBNcvbXMkivEJmEaSB/mZV/hbcM59elLJ4VsJ0IlN1JJsKGVpiZOXV92exDKpGOmKQGQfGj6XE6ajbl7gzzkp5o+REcKFXj5jzwOOla2s+Im0m5WNbJrhBCJ5HEgXapcJwO5+bNOXwtaAIY576OQM5aVLgh5N53MGPcEjPt2qfU9HsrpZpr0simDynbftAQMH69uQOaYGMnjq3mmvFhtGkjtllfcJOSsTAOSMfLxkj1wataXr93qusWyJaLFYXFibqMs2ZMb8KxGOhGDj3qx/wjNkyToJLtbecktAs5EQ3MGbC9skc/U+tPh0zTdGvbGVXlhkJe1gTcSpDkvsx6DBx6UAULjxjFbX15ayWhd4FYoI5lYuQyqAR0XJYd+nWkvte1S2mZZ9PFtElpPLJiYM+5CMMhxgg57/ANKuT+G9Ha7eGd5i92suyEzHChiGcoO3zAHPY1LJ4ZtHgEckl5J8siu7TEtKsn3gx79BjGMYoApSeLREJZPsEj2sZkiWbzAC8sabiu3sDggH1FaGkaq+pNdRzWptp7Z0Vk3hwQyB1II9jVd/C2nvNM5E+2YNmISnYGZdrOB2Yjv9a0LSwhtJ7iWJXElwUMmTnO1Qox+AFAFmil2tjpRtPpQAlFFFAGZff8hSH/rg38xUFx0i/wCu0f8A6EKsX3/IUh/64t/MVXuOkX/XaP8A9CFMR0lFFFSUc5N/yFb7/fX/ANBFPtv+Qrb/AO5J/Smzf8hW9/66L/6CKdbf8hW3/wByT+lMk1qKKKBgDgisLw1o2q6RNqLaprD6iLmfzIQwI8pfT+XA44rdooA5rMlr4x1CWb7etvcLCFEMG+OXCEHJxkYz6isbT9Ln8u0l1Ky1BpbfUI5IjIWcpAVIjHB6r0bvnrXf0UAedzWOpWmmaTFFbX32pYlmaUtLIxlMi714OFO0Zy2RjgCpL3TWvdM1CO4sNSlvhIZLgsWMT4nDLtGfmOzpt6DrXoGTSZoA5rxQ93Hdq9pBeSxzWEsKeQpbEpZCucdOAefrWVqFvq32vV0sob5pJEyZiHBVd6ZUfNtcFd23bhhyD1ruqM0AcA2jXk9u01ulzLOLO9W1kKPEYy23YoDMTj72M1dsFu77xHZ3gt7tbZJ8gzxldo+zbScHoN3H1rs+tHNAHEapDqCatq/2WG+kaa3l2yDevlHYNoUg7WUkcAYYEmqOoi8/tGaDN9/aMpvdpV22SJ5X7sLzjIyOnIOa9F/GqsWm2UN/LexWsKXUow8wX5m/H8BQFzitX06+t7K9s7e2vWgM7m3YNLIUPkLtwAcnL7uScAimX9lqC2k8rQXzyNcrII1R8Tt9njHJQhlO4HDcgEHNehAkUmT60AMiLGFN6lW2jKk5IOOhNPoooAKKKKACiiigAooooASnL94fWkpRwwPvQIxPC3/IvQ/9dJf/AEY1a1YOmJrOl2AtBpUUwR3IkF2q7gWJHGOOtWvtutf9AWL/AMDV/wDiaoSehpmkNZv2zWv+gLF/4Gr/APE0n2vWj/zBov8AwNX/AOJpoRo1heJljml0a3ugDaTX6rMjfdfCMVDe24DjvVv7VrX/AEBYv/A1f/iahul1K9t2gu9At5oX+8j3akH/AMdoC5lBreDVo9I0G+Flbzy3Ms8iqGEUqBcxoGGAPm3HHoapxa7qt5H9uF2sCQW9nM1usSlZTKxV8k8gcZGK2n06aSxjspPCti1rEdyRG5Tap9R8vWpZIr+Qvnw5aHzFRX/0pfmC/dB+XoO1IdzDvPEupWQ1OEMjzaVHKZiyDDlnAhPt8pJ/CpIr/W21GzsJbqSFJbpl86SKIytGIt+CqkqDu6H0Na7x6m7Ts2gWxNwAJs3anzBjGG+XnioLbTruyEYtfDVpCI2LptulG1iME/d644p2Fcxre41W30ZzBqE0jHULvzGVIzMEQn7itwwBwSOuOlaetyC60XQ7jzUlEt9aP5irtDZOc4PTPpU0umXNxHIk/heykWWTzXDXS/M+Mbvu9cVPdQX99ai2uvDlrLbjBETXSlRjpxt7UBczPFOrXGnystldFZIbZrloljUggMBl2Y/d6jA5JqlFrOpNqlxMboNbxam9mtqIxtKCLePm65zWs+iSPBHCfClgY4gwRTcqQobrj5e9SpYahG5ZPD9spMvnEi6XmTGN33euOM0fMLnMtr+qQWSXBv1m+0WEd5jylAiZpVUgY7YJHNad7q9017dWkF0ySC8eOJYolZyixBiMt8oAJySe1R6d4T1Gyu7qebSrS4FxEYTGrxxJsLbjuAB3Envx9KvjQ5lt1gHhexMKv5gQ3K4DYxnp1xxR8wuY0mualdaS9+l7HbNb2dtMYljUrK8h+YnPbsMd6vaZqOqXetbyrGya5ngdGCBI1TIUrzuLZHOfWo9V8L6lqclsBpVrBbQIqCFJIydqtuwr4yo4x39sVqCwvhfvfJ4ctFu3zumF0u45687aaBmNd3l3/wAJFcWdrMtqZ9QggeVIlL7TCWOc9TxwT0rLTV9QDRao9yZJY9MuWMWwBHZJAu4gevU/SusOnambjzzoNr528Sb/ALWudwGA2cdQOKjXR79GiZfD1oDCGEeLpflDfeA4796PmK/kV9Jubn+07iznu/tgSGKdZdqgjfnK8cY4yPaucW1ighGCjtcxXTWupWzYeU7WLLMp5yB0PTIHSuvstMv9OjZLPQLWBWO5hHdKMn8qI9Ju4LmW4i8OWSTzAiSRbhQWB65+XvTEjnJL3UrSxuvJ1DCWOkRXADRKxd23ck+gwPyq5davdHVTYx3CxJLcxQiVVUmMGEucZ4ySO/rWrDpd/bRNHbeHrSNGjERUXS4KDOFPHTk8e9Vv+EeultHtV8N2Igchmj+0rgkdD06ij5h8jn73UL+3u7y6XUkleLS94MaDYSJSufr6++e1XrvUr2XV2sre6EKteQQB1RWKK0RZuvGcitX+xNQ3Rn/hH7P93GYk/wBJX5UPVfu9Pai10C7s1UW/h2yiCuJF2XKjDAYB6dcEij5h8jnP7c1ZbW6vwu6FPtClXCBIyhwpGDuJ4yc1o6KssGu6qJrk3T+Xbt5pUAn5Se3Faw0W9W5luR4fshPKCHf7SuWB65470200S/08MLLQbSAPjd5d0ozjpniheovkcYDBp9s7CK2neW0uWtr2I588YLMJkPU/XIyO1bB1W8a8WRLtI4o7+Gz+zBFwyMoJJPXPPGO1af8Awjd4ss8ieHbEPOCspFwoLg9QeO9U7nwjrFzrEN81hbKInRxGsiBiVHA34zj8KPmNehnQaxfR6cl3dX6stxZyTD9wMQsr7RgD73Xv3qL7TcvfWyXb5ktNQdVabbkD7OW+bbxxn8q6caHqIiEX9gWflqhjC/aVwEPJXGOhog8P3tuFEOgWcYVt423K8Njbnp1xxTv5i+Rk+Hr67uDNFfzl7hUSQqUUAbs8oy8Mhxx39a26it9B1CxDiz0K1g3nLeXcqMn8qlOn67/0C4f/AALX/CrUl3Ikm3ogpDQNP13vpkP/AIFj/Co7yHVrGymup9NjEUKF323QJwPbFHMu4uVjqo3sktrd21xp+7+1C2y3RBkzeqMP7vqe3WrNzOYFiVI2muJzthgT70h/oB3Paug0LQf7M3XV2yzajMuJJAPlRf7iegH60Skkhxi2zWjLmJDIoVyo3KDkA9wD3p1FFcx0BRRRQMKguLK2u9hubeKYocrvUHb64qeimIjgt4bWERW8SRRg5CouAM9eKkoopAFA60UUDMLQtG1PTNX1a5v9Xkvre7kD28LAjyBzx7cYHHpVe/8AMs9f1FptNmv4tRt4I4USPcjFSwZGPRR8wOTx1rpaKAODOj31qk8lpDeLJcG8MwR2+ZTMCuBnAJXOMY60klpdGOQ/ZdUOll7g2UKlw6OVTyywzuA3CTGeBmu9ooC5wV5ba6tzei3iu5b+azYNNllET+UvCnOxlLA4GAQSTV2LTZ7rwNrdrtuJhMrm3haJ4iPkHyqGYtjIPU9c9q7GigLnCz2eove/8S2K9jvPMBtpXLiJLXyMBTk4zv7HnODTtLsroX1g0VrfJaxz27SC53EiURyCRuTnqVyehPSu4zSUBczLQtceJry6dCEtoktYmI6k/O5H/jo/A1yF5pOomwiJF8omvLxpyBJIQSxEJCqwIAHTHA4zXoVLzQB53q8OoWUeqO4vpWNm3mXL7ozHhUxghtrAkHAGGU5qSSxuw87C21Q6KZZfssKl/MVzGgViM7tu/fjPQ813s0MdzA8M6LLE4wyOMgj6U+gDi7XT9VjuhcXH203ZuBHI6SHBjNsASozt+/nn1rONvqR0mGHybxLaOVw8hjmLSMYwFcxhtwIbPQld3Nei0ZoC5XsVkTTrVZ3Z5RCgdnGGZsDJI7Gp6KKAMy+/5CkP/XFv5ioLjpF/13j/APQhU99/yFIf+uLfzFQXH3Yv+u0f/oQpiOkoooqSjnJf+Qre/wC+v/oIp9r/AMhS3/3JP6Uyb/kKX3/XRf8A0EU+1/5Clt/uSf0qiTWZlRSzEKqjJJOABWV/wlOiH7up27D1Ukj8wKg8Uj7Qum2L58i7vEjmUHG9ACxU+xIGa1VREUKiKqjgAKAAKaQr6lH/AISnRf8AoIw/r/hR/wAJTov/AEEof1/wq/tHoPyo2j0H5UWQalD/AISnRf8AoIw/r/hR/wAJTov/AEEof1/wq9tHoPyowPQflRZC1KH/AAlOi/8AQRh/X/Cj/hKdF/6CMP6/4U661S3tJ/KZSzgAkAAYz9aW21O3uZ1iCFWb7uQDn8qfKHMM/wCEp0X/AKCMP6/4Uv8AwlGi/wDQRh/X/Coz4k0Nbs2rapZC4D+WYvMG7dnGMeua02XB+7+lKyHqUP8AhKdF/wCglD+v+FH/AAlWif8AQSh/X/CrfmRCYRFo/NI3BON2PXHpVWfV9Ntb+Oxub20iu5cbIXcBmz0496LINRv/AAlOi/8AQSh/X/Cj/hKdF/6CMP6/4VYs7q2v45JLSRJljkaJyo+66nDD8Kn2j+6Pyosg1KH/AAlOi/8AQRh/X/Cl/wCEp0X/AKCMP6/4VPe3lrp1sbi8kSGEMF3sOMk4A/EmrBTHVR+VFkGpQ/4SnRf+gjD+R/wo/wCEp0X/AKCMP5H/AAq/tA6qPyo2j0H5UWQXZn/8JVov/QRh/X/Cj/hKtF/6CUP6/wCFX9o9B+VG0f3V/KiyDUof8JTov/QRh/X/AApR4o0UkD+07cZ4yxKj8zV/aP7o/KmvFHIhSSNHRhhlZQQR6GiyC7LHBAIIIPII71Svda03TZVivL2GGVhuEbN82PXHXFUfCreVaXtoCTDZ3ksUIJztTghfoM4HtUfhWGOXSzfuitdXsskk0hGWOGIAz6AAACiwX7Fn/hKtF/6CMP6/4Uv/AAlWi/8AQSh/X/CmvrNoJGVUZ9pxkAAfrUlvqNtcpKy4QRDc+7HA9c0+UV2N/wCEp0X/AKCUP6/4Un/CUaL/ANBGH9f8KWw1nTNVZ10++tbopgsInDFR2zV4KM42j8qVkPUof8JRov8A0EYf1/wo/wCEp0X/AKCMP/j3+FaITJGF/Sq1ne2uowNNZSJNGkjRMyr0ZThh+Bosg1IP+Ep0X/oIw/r/AIUf8JTov/QRh/X/AAq7geg/KqFpr2kX179jtdQtJbrJHlI4LZHXj2xRZBqL/wAJTov/AEEof1/wo/4SnRP+glD+v+FaHlf7P6UbMDO0Y+lFkGpn/wDCU6L/ANBKH9f8KX/hKNF/6CMP6/4VewOm0flTXZI42d8BVBLHHQDrRZCuyn/wlOi/9BGH9f8ACk/4SnRf+glD+v8AhVqzuLfUbKK7tHWW3mXckijhh61OUxyUGPpRZD1M7/hKdF/6CUP6/wCFL/wlOi/9BKH9f8KvEDONoH4VlS+JtEgCmfUrSIMzIpkYLuKnDYz1APGaLINSf/hKtF/6CUP6/wCFJ/wlOin/AJiMP6/4VeUq6hlCspGQQAQRTggI+6PyosguzP8A+Ep0X/oIw/r/AIUo8T6Mf+YjD+v+FaAjGcbR+VVory3nurm2idTNbMFmTbgrkZH4Ed6LILsnstQtNRiMllcxTopwxjbO0+h9Kfc3MFlbtPdTRwwp955GCqPxrAvVWz8XaRPAAj3nmwT7RjzFCblz6kEcH3NS3yLeeLrO2nUPBb2r3KxsMqZNwUMR6gZx9aOUObQsf8JTov8A0EoP1/wo/wCEp0X/AKCUP6/4VoEL/dH5UbR/dX8qLILsof8ACU6L/wBBGH9f8KP+Eo0X/oIw/r/hV/aP7o/KjA9B+VFkGpQ/4SnRf+gjD+v+FH/CU6L/ANBGH9f8Kv4HoPyqpeajb2Tqkg3OwzhQOB+NPlQrsi/4SnRf+gjD+v8AhR/wlOif9BGH9f8ACnQarbTyqmwqWOASF6/hUdz4h0SyumtrrVLKG4Q4aN5AGB9CKVkhpsd/wlOi/wDQRh/X/Cj/AISjRf8AoIw/r/hVi/vLXS7X7TfSpBDuVN7DjLHAH4mrBUD+EflRZBqUP+Ep0X/oIw/r/hR/wlWi/wDQSh/X/CrrBVQsQAoGScdBUdnPBf2kV1aOk1vKu5JFHDCiyDUrf8JTon/QSh/X/Cj/AISnRf8AoIw/r/hVyV44I2kmMccajLO+AAPcmo4by1uLqe2hljee32+bGOqbhlc/UUWQalf/AISnRf8AoIw/r/hWdr3iDS7zQb+2tr+BppYWRFJIySOOcV0H/AR+VGAf4V/KmkhavQ5fQL7RtNBur3VLefUZVAkkAbbGP7iccD+dbP8AwlOi/wDQSh/X/Cr20f3R+VG0eg/Kh6u7BXRR/wCEq0X/AKCMP6/4Uf8ACU6L/wBBKH9f8Kv4H91fyowP7q/lSsh6lS28Q6Td3CQQahA8z8Im7BY+2etaNZesWNvf6Tcw3EasvlsynHKsBkMD2IPeqN5qdwvw7a/WQi5ayU7+4YgDd9ec0WC5oTeI9Ht53hl1G3EqHDqG3FT6HHQ0z/hKdE/6CUP6/wCFTWGn2+m2UVraxIkcagdOSe5PqT1zVjaP7q/lRZCuyj/wlOif9BGH9f8ACj/hKdF/6CMP6/4VewPRfyowPQflRZBdlD/hKtF/6CMP6/4Uf8JTov8A0EYf1/wq/geg/KjA9B+VFkF2UP8AhKdF/wCgjD+v+FL/AMJTov8A0EYf1/wqa7vILLYJfvPnaqgc471XTWbV5FUqy5OMkKR+hp8ocw7/AISnRf8AoIw/r/hR/wAJTov/AEEYf1/wpbvV9NsLmK3vL22gnm/1ccjgM3OOB9ato0cjOsbRu0bbXC4JU9cH0NKyHqU/+Ep0X/oIw/r/AIUf8JTov/QRh/X/AAq+E/2R+VGz/ZH5UWQalD/hKdF/6CMP6/4Uf8JTov8A0EYf1/wq9gD+EflUN5dW+n2c11dusUEKl5HI4VR3osguyv8A8JTov/QRh/8AHv8ACj/hKdF/6CMP6/4VdjKyRLIgBRwGU46g07aPQflRZBdlD/hKdF/6CUP6/wCFJ/wlWi/9BGH9f8K0MD+6v5UYH91fyosg1M//AISnRf8AoIw/r/hS/wDCU6L/ANBGH9f8Kv7R6D8qNo9B+VFkGpnnxVog66lAPrn/AArSguIbqBJreVJYnGVdGBVh7EU3aP7o/KsbSI1sfFGqWcA2W0kUVyIxwqu24MQO2cA/WhpBd3Lt9/yFIf8Ari38xVe4+7F/12j/APQhVi+/5CcP/XBv5iq9x0i/67R/+hCkM6SiiipKOcm/5Cl9/wBdF/8AQRT7b/kK23+5J/SmTf8AIUvv99f/AEEU+2/5Ctt/1zk/pTJIfEX/ACEND/6/x/6A1a1ZPiL/AJCGh/8AX8P/AEBqv3l5FYWj3E24omOFGSxJwAB6kkD8avoT1ZPRWITearqcbQTSWRtGUT28j4K5O7OFyrhlyOTx1p51yecmTT7FZYCT5byzeWZcd1GCcehPWs51IwV5Oxai5bGxRVCy1eK6m+zzRSWt1jIilx8+OpVhww+nPtWhmqjJSV0JprRnGeIrg2niUurBSEjYZ57UtrepceMAYHDxtKxUjoRtrqriztrpgbi3ilYDguoJApsGn2dtJ5kFtDG+MblQA1pzGfLqcrqMZT4gTvbW8bXA0OR4h5YOZA5wfrmuR0/WdXfwzdzxarLLqANr5EAnkkf7UXwysGUAbhnKZI4r2DAzml/AevSs7GlzzjwyYJPF3h29mvrqaW60mQb5pG+ecP8AOmPbnjpwKluLnSbHxJ4hstfspLu5vr63ks4FQl5l2gKUPopznmvQ8j0H5Ubunr2osFzx/VtQ1GwgSO2vGsrOW+1AvMZXiUTBvkyygnjqBjBq5ca9fr4wtovt1wJQ6Qzo0rbZAbcksseAAm7uec16kQD2BH0oxz2osFzyK01LUodN51G9l8+wsrkmWUviRrja2M9MgYxVy11HWEuJ7iC/vpbiW51OBImcsgEa5jCr6g9K9RwPQflSSIskTxMDtdSp2nBwRg4I6H3osO5w/wAPNQ+26rqUcWp3d9bx2lqwNw7MUlZT5nXpzXdVlaL4c0/QWuHshO0tyV82WeZpXYLwoyewrVpoTCilpKYgoopaAMbw19/Wv+whJ/JaTwgceGbP6yf+jGp3hr7+tf8AYQk/ktJ4SH/FMWf1k/8ARjU+4uxz+l6gLbULkyXccCrISUc48wgnC5wcD1qbRnM+n682Qf8ARX5Xp0bpW1q50TTyJtRhg82XJVBHukk9cKOTWdaeMtJtnMUGm3UEZPLRxoc+5VWLfpTcrolRdzgNOOo2Oly3MYWLUI/D0Jsmtoyu+AuPMZj1MijP86ux6veLYW7XWtTf2O9zcbbm2nkcowiBjiMhUFhuJ7e1eqWWoW+o263FlNHNETgMnY9x7H2qtrGjW2u2iW129wkSknFvM0RORgg46jnpWdjS55nbeJr+KG0iuNSuRPd22mvAC7ZkJk/ekH6darahq81h4bZLe6urSc3V/NE6SsiMyyjAwASzY6A4GM16/a2cFlaQ2ttGscECCONB/Co6CpRx2H5UWC5yvg4T3+t6zfT3t1KI50iihaQmJVaNGJC+uTXI+H9UsrbRtZt7rW4Ld1a7dbeKArcxNvJDiQfy969Z3Ucf3R+VFgueQnXbsadpTa5rF/aTSXN2uobJWQxOsQMajHQfdP4mrS6jrtxaaxd/bb8Xlno9rJHErEDe6YdyvdsZP1r0i70m1vr+yvJ1Yz2LM0JDYALLtOR34q3twfeiwXPIpdXvE8NfaTrbSWou2MaRXMuXHlAmPzyg+YHkA8E8Vp/2rdL4tija/wBQk8+Bdtu7NHJAPIJO+Pbtdc8lwQQ3Felg4GABj0xxQWJOTyemaLBc8hGu6qmn6cf7QvY702Fo+nRITtupWkIl3DGG4656CrUOp6mmpySLq1+nnzanCclpVjEagoVT1UntXqeM4Pp09qNoHpRYLnEeA9RuL/w/qey4uLqWElUmeUyxu3l5zGxAPJ6qehrmLyC6k0rQ/wCyI7eZv+EbnZxOhfcNwL4/2sk4r19fk+7gY9KgsbS306AwWibIy7OFzkKWOSB6DPaiwXPL7W/vIfEmm2djqTR2aQ2X9niWV1E8ZX5wEVSHJOQckbcVWtte1XbP9j1LUJtW/s68kurd2Y+RMJAF2rjAIXpivYAxBGAOOnHSsmw8Nafp+rS6nF9oe7kDLvmnaTYpOSFB6DNFguebTa3qq+GvO03Vpri5N5i2SCZ5iI/JJlBZlGcfeHoa7TSJIpfGNq9lPJPbyaFGzSucs/z/ACMxPfBauqx6YH4VWttPt7W+uruNW8+6K+YzHPCjCqPQD09SaEgbM/V1/wCKk8O/9d5v/RRqWX/keF/7B7f+jBTNWP8AxUnh3/rvN/6KNPmP/FcL/wBg9v8A0YKslmr1NGeazPEbzR+H7xrcsHCDJXqEyN5H/Ad1V9EujayrplzKZFKlrOZjkyx/3Se7KPzHPY1IzcowTVS0UJe6i5ieMNIhMjN8r4jXkegHT8Ca5W+1m51PW7CazklS3W6RLWNCR53PzyMO67c4B6DnuKLgdriuU8Ty/Z9ctW80Rfux85XIX5jzjvXWHqaguLS2uwv2mCOXb03rnFUnYUlc5KbUUutb08RzRytuRXaNsgkN1zgZOOtWNfgX/hPNGaKCJ5jZXbKCgO5wq7c+vNdFFptlBIJIbSCOQdGCDIqcik9Qimjxe71LUL7w9NFFe3V8xgtZLxbkkiC9+0AbOR8vHUD0qxqms6slhpyy6pPBIVuUupZZ3jEd4H+7lVJIAxtXoRXsA/D3pT05APfpU2KueYNfanD4hhmbULss2rLaSRbz5RQ24ZsKenzc1FZ63bz3XhW3vNbvLOZ7dZ7tzOypIMkJGFHBZj1PoK9TI9hQFHoPyosFzx681OfVrfxBbG6vHiaxmme3knZ3SSObGGGAF4/hXjGM1dm1WSO/vlj1O7j0TzdOE1zHIS0cDRtkhsZGSBk16sDjpj8qM8YwMfSiwXPGm1TW59J82fUtQjeDR5rqErIVMm242xu3rlfz4r2C1cyWkEjHLPErH6kAmpDz1A/KimkFwoo70UxBRRRQBDdj/Qrj/rk//oJrnL7/AJJOP+vNP5iuju/+PG4/65P/AOgmubvz/wAWn/7c0/mKaEdTngfQVm69fXlhphn0+1NzMHUbB0C/xE+2P51bu4XubKaGOUxPJGUEgGdhIxnFcek+teFUVLwzX9qqBQGUBSST/H1z0GOmM+1Sxo6DRfElprWY0YR3K/eiJ68Z+X+8BkZx06GtSaQQRNIVdgP4Y13MfoO9cjc2Gna3sn0i4Ftejk27fKwIAOYx0BHqODz61afxNBbWFudYiS51OKQMsEW0vHkkBic7QwwQcHt74pXHY6gDOBjk0VxbP4g8SDyyrWVs6j7vCKRyGyfmbnAwOMA+orr7ZJktYVuZBLMqASOowGbHJA7ZNMRzni+UR32n+YzLGVfcV64yM1Q1G+trubTzayg4O0oF27Ru4B98V2dxbQXSBLmGOUA5Adc4qGPTLCGQPHZwK6nIYIMirUrEON2cD45ltLDxRLNtD3U1vFG9ldQF4tQTdwsTDlXU1nvOula1rUT3t5ZWr6zH9uZJWDRW5jJU57Atxn2Ar1g8kHuOhPakx14HPXjrWdjS543e+IdUj0u1e61bUIL46eXskDspuJPtBVCy4+YmP161a13VPE1tr+oWUFzcLbRXK2+8OcqbkAqR/uYIH1r07+zLY6v/AGnhvtXk+Rnd8uzOenrnvVwY9qLBc8sudV1WHXL+AX97/aEVxdI9qWOxLNYMpIBjGd3IbqTWdq89wvhmwTUdV1ERXuiSXC7pGPn3JI+Q46gL2NezZx6UZ9qLBc860zVLhPiBbWj3t1OkmEWCN2UQqIQcPGRgp3Dg9a9Eo4znAzjGcUU0AUUUUxBRRRQAVkWn/I7X3/XlD/6E1a9ZNp/yO19/15Rf+hNR0EWr/wD5CcP/AFwb/wBCFV7npF/12j/9CFT3/wDyFIf+uDf+hCoLn7sX/XaP/wBCFSUdJRRRUlHOTf8AIVvv99f/AEEU+3/5Ctt/uSf0pk3/ACFb3/fX/wBBFPtv+Qrbf7kn9KZJD4i/5COh/wDX8P8A0B6m1i5tIrXyLuJ7g3AIW3jXc8mOuB2xxzkY9ah8Rf8AIR0P/r+H/oD1S1q8Nn4ijaVGa2azKyMoJaP5+uPT1/Cpr1HTpuSHTjzTsxkcM0kb27xCyt7g5lXzTLPPxjDP0UY4wM8ccVoKu1Y8ohZPlXaMbR7U2GSN4o2gkSSEjCsp3Z981zGo6x9u1WWyt7qC2tIWAldy4M7EdmUH5eo6jJHtXgfvsZOz6HfaFKNy94g1FLayuVQxy3MWJoEiOXjYHO5v7o/n0rskAbGP4q4C6ht4tPkhTUdLiicYcJG+SO/IP64NdV4e19dcjnMcGz7OyqZEyY3JGcKSAePpXr4KjKjFxkctecZu6MjTvGfmLJJexxGMABfIyCrmQqI2LEDJC5zkDg1dPjCyOWitL6WMLuMiRqV+4HI+92U5/CpZPDemCFUDSx+WAoZZeQQ5cHnjILHr2OKk/sOwCyqxkJYN5haXn5o/LJPp8o/Pmusx0GN4nsVmCFLgRs2xJigCPyoYg5zhdwySPXriktPFFhe6jFZR+Yssv3S20AnBYDGc8qM5xj3zSt4a01/MVzK8csToIjLlVDgB2UdicDmrFtotpBfreW5lVtqrtV8o2F2gkeuPegNCoPFNq0kkYtrsuHMcQ2L+/YSeWQnP971xxzUZ8V26OzNFO6M0aRxpHhwzKSQ2TjI2kY9eBmrL+HbB9rB5UcM3lyJNhlZpPMJHvu/Tio5vDem+QbdpLlFmKxvslJL4U8N9QSST39KYE9l4gsL3UrmyjZ/MtwxYnGGCHDYAORg8cgZ7ZqrD4kZrIMbeWSd4PtJaOPMcCuGMQc5zyB1x+VXrPS7KwuJpYGYJcE7o2kGzJOWx35+tY1ta6bBo4vLi6uUgiU2rhCV3qrFEV0HVlzikBbTxbarYQz3VvcxMzrHKrIo8tiqnJ+bkHcCAMn24NPh8UWtxcW8KW92GuJHSMsigEK20t97kZ9OcDOMUXHhjTbobpHmT7pbEuP4UABz04Rf19afN4dsmgt4/MlSO2YyIpl43Ft+4/Rj1GOOKNQ0H6tr9po0kCXW8tNkgJjhQQCxyRxyOBk+1VofFlrLMENreRxl9vnOi7MbygbIbONwI6Z9qka3sby6t7Wa7uXv7EeW06/KWyoY7jjGCMGhdL0g3DWSM5dIlmK7zgr5rSDB7/Nu49KLhYgufFkCwbo4pYX2NIFuIuWTYXVhg9Dg+/bitKx1eHULq6hhjmH2ZyjO6gKSCQcc5HTuBxg9Kx18N2l/9jlgmkltHibf5shMhjZCiKvooyetX7XR4BqH2+3vLlZHf94JH5ZFLHYAeduTnvwBjimBr0UeYh+6ykeoNRwXMN0rNbypIqOUYqc4YHBH1BpiMzw39/Wf+whJ/Jag8OXaWfgyK6lz5cKTSNj0Dsf6VN4ayZNa/7CEn8lqrotqb3wCbVCA88M8a56ZLOB+tHcS6HNaen9rzXGraz5jxs6o0ceSZZG5WMeiqCBgYyTzW3eR+HI7K0kGmQSxXSl4zb243KmMl8jBGMj3rE8ORJdr5QYxahFJ59uJHOwHgSfL3ZSCPxFblj4fmt5b5HmAhKmGz2n5liZ97g+mSdv0FNEt9zNto5/CniuOLzWktblkVmJzvRjtUn1ZGwM91Nd8RtOO4rzd7aK58Q2dhpwJWOVY2YSF1zvDy4P8AdUIB9a9IbliaRS2MHxB4hm0i8hhhW3YvA0ixyBt8zBwoRMdzmn3HiOBhD9mDqWn2OZF4CrIY36HrkHFW77SrW/kJuN25ojECH2kDcGyPcEA5qrD4Z01J3uGlnkUybtjz5RSX3kAdssSce9Ioqt4utbrRr+5091+0QRF4o5CpL/LuUgKTnI7ZB9cVN/wldrDFEbq3uYXMohlVguYm+Xr83IO8EYycVaTRbCz0m408tO9vKojKl8vGp+UBcDIHv+tZtpomi6xC00c184R/nuJXK+f8w/iI+YAxgcY6Y70rhYsTeMNPt4JZXiuAqTGBchBvYbicZYYwFPDYPTjkVJa+I11DW7a0s4n+yuJQ07qAHZQpwvOeN3ORVO90LSYtSiinnvDe3speJg5Z12A5wccKA5GT6j0rStNEsbXUlvopZd2WZUabKbmADMB6naKAK/8AwlNqUnb7LdqI1LLuVB5qh9hZSWxgN644Iqoni8TXKiGxma2eWBFnJUArIhfdjOeMVLb+EbPyD9oup5ZQxdZFm/1QLl8KOwyec56U+LQtHjdbWOaQPCkMmzzudqAqjH2IJB9aNQ0G2/jPTblVMEdzKWJwECn5Qhfefm4G0Hjr7Vah8R202k3GofZ7pEtwrNEyASMGAKkDOOQw71AdE0vTkto2kuWDu0FvGX3Y3oVKgAdAufpiriaLZrZS2qFvJmWNGxJz8gCrg/8AARQBUXxXauJQbO9R41c7HRQWKMFdR82OCwySQPeo7bxXFdndDZ3LxPHE0JUKWkZ2ZduM8Y2nnOOKtT+G7Ccgt5gYvI6ssuCGdw7EfioqrY6Xo80ZtrOe8ja3SMZLlXQ7mZGyR97Jb8DRqGg3/hKTHPfxzWs0QiAMDvFwD5SuUcZzu5PHTjrUo8XWhleP7Lebw22IbF/ftvEfyc/3iOuKlu9G0uKI/ann/fyBdzSFizmPy+T/ALo/OqEdjpOsWbyaVM4uYVDRmcvEU3OJA3IzgkcNgj60DLt3rsjWGmXFlBIovbsQMZEBMKjduyN3X5T3NPj8TWs0kUcdne+ZO6iJCigsjAlZPvfdwp9/am6TZQtp1vYTStNPpk+6Tr/rSCec9QQ5571LZ+HbOzmilRrh3hI8syS7tigEBR/sgMeKeoiDV/8AkZfDuP8AnvN/6KNSyc+N1z/0D2/9GCmasR/wknh3A/5bzf8Aoo1JKP8Ait1IP/MPb/0YKolmr07Z9jXK3enfZZhp/mNFA7ebYSr1hYc7AfbqPVcjtW5qes2WkRq99OI9/CKAWZ/oo5Nc9r3inS7/AEnyLN2knZgwbymDWu3nzSDjkdh3+mahtIuMJPZFW8v7i4+1Ws6C3MpWS/OMKwCBQqHurbck9h8vrWx4Y08sv9q3Me15U22qEf6uI9/Yt19hgVyNxdM9vDeXkF09zLMHhiZNsdzHgFo8nlVIAYBgCPcE12K+ONDdI2+1uN4BI8lz5fs2BhSKLofJJq6RvVzj+JZ7W+vEu4U2QvtW3RSJyC6qjDdhXVi3UfdroYZo54UmhdZInAZHU5DD1Brmr/SNP1Ke4tba9nS787bGJJSViIdJJBF74Az1xmmSkPk8Vn7Q4ihIjVFHlOn7zzN0oZCc4H+r681abxD5Vno9zPaSImoIXkO4fuAIy5J554H5UxNF0iO/igDSyTOhnDGTd5gVmyxboTulP5+1XH0WylsbK1lkdorLKR5lGSCpQox7jacYpAVIPFljcxwskVyTNL5KKFViXIBA4OMlWz17HOMUW3iJpdEtNRmt2txNcGEoRu4DMMjB/wBmi40fTdOt7Z7i4vHS0lTyj5uTCxIVWOO3QZPYn1pz2WmRmDRC05Ku15Gm4nYAxzk9lyxwDTAhTxlbOYW+xXccRLGZpAoMS+V5obAJzlT9aunX7ZdLu72SC5j+yFRLCyjzPmAK4wcHIYd6j/4RrTyMfvCGCgjzPvqIvLx7gr1/Om2emafcaRJGss8sF2Vd5JZPnbaQF57Y2gCkGhGfFtokcjTW13Ay/dSVUBc7/LIB3Y4bA5IHemN4y05FhcrP5c0TSowC84DErjOc/I3PTI61cn0DT7r75kDkttZZMFSZBISPcMP6VBceEtNuJ1llluWbaFIM/DnYUBPHJ2saYaEA8ZW+4FrW6Xgq0BjHm790arj5sc+Yvf8AlVlfFFo8kKJa3jGRlRvlX907FgqN83UlT0yKivtF0izWS9uWkUI4diJCedyEcfWNOPrVbUNGhtNU06Zbj7Pb/aY96lmZppNzFRtxg8seeMe9INB9j4lkfQ457yNlvJFDbFQBVL7tn8RyPl5NXzrcdtYW012rl5bUXDeWOMfKD1PqwqKbQ9K8+zja4lQgCKKIT4EpQMRkdyAWqe80Kx1GC1ieWVUgTyU8uXG9cqdrevKD8qAKZ8W28pCwwXCP5gVfNjGJV3shK4bj5lIyfripdL8Sxag1lC1rPFPc2yXDD5SqbgTjOckcdcY5GeaZbaTo9xJDJbu0ixLvVw52YErNyen3yeKlt/Dlla3NnIstwxs02wxvNkAYIBx14Bx+VAGjdnNjcf8AXF//AEE1zl//AMko/wC3NP5iujuhixuP+uT/APoJrnb/AP5JR/25p/MVZJ1PYfSsDxJrV9pt3Db20I8maInebR597c5XCkYwOefWt/sPoKxPEvyrp0pONt1s/wC+lYVLGjjoJbiy1BLy1tHjdE2Io0qbavuAX69vYAYpBfzw6jLf/YgZ5CSxfSpSoJxkhd+ATgZpUuLhPD+pK80hIeIht53fM+H57dO1RalK8jaIolk3YTPzHklsc+vAPWlYdztPCmsXesxXLXSJ5cTBUkWBofm7qVYnpxz71vqAWA9a57wXCU8PCTOfOuJpAR6FyB+grfUHcMdaYjlLPxmWad7xYWiQHiDho280xqjFjjLYznIHBqwfGlmSPIs7+dSBho0XG4oX28t1wD7cdali0nQ73Za287uwiYoUk7CYtnPQsHz+Gauf8I9ZF95MzvuBLNJyWCGPnH+yTSGVv+ErsA33Ljyj92bYNhYKGZeuchWyeMcGnp4nsH1KGy/eCSZ9isduMksF4znB2kggYxjOKgm0PSdPdXmMxjkP2fyy+5EeRfL3EdiwwM+/vU1ro+m2d/ALaZ4pbOCNfJEgwY1BCFgeT35zRqGgj+IUtbi6juYpHEU7jdEoIiiXaN75PTLdvy4pIvFumS3Qtw8iSfLu3rtCAhjk88Y2HP1HrU934fsbuVpJWnXzHZpAsu0ShsEqw7rlRxTG0rR9Ilm1dkEZjM0sj7sjL4L8dz8vA7c0wGy+JrSMyhY5pGi3FlULwAwUHJIAB3AgntUVt4ogkeeVlc23lCaHanzbRHvYHnrxxVm68P6feNcztvje5MUjyRybSDH90jsPeq7+E9OazW0Sa6jATAaOfDldpUjPcEHmjUNCxYeI7LUtRlsrcSebGpYZ24fGMgDOQRkdQM9qrx+MdMlTdGLh/lDYWPnlA3r7hfrxVzT9ItNNu5Z7aSQFuWjMgKKe5x1GcetVYfC+ixPOkULozxOHbeR8skm8kN0zuHHpxRqGg4+KbRSytaXokjVzKmxcxlWC7T82CSWXGM9aj07xL9ouIrW5tJ0uZppVChABGquVG7nk8c7c469KtJ4csUjmjLTu8qkSSNLmQksG3E+uVGD7U2Pw3ZRPbMZruQwTGcb5s75Cxbc3vknpj0o1DQjl1p4tTuVbaLWCZYMBCzs3lmRiPwKgfjV7TNRTVLFLqKOSNHJwHxk++QSCPxqu+ipLqFzNI58mZ1nAVirJLsKE5HYrj8RRpuiLpVyzQXM7QupLRyNndISMuffAA4oDQ06ybT/kdr3/AK8ov/QmrWrItP8Akd73/ryh/wDQmp9CS1ff8hSH/rg3/oQqC5+7F/12j/8AQhVi+/5CkP8A1wb/ANCFV7n7sX/XaP8A9CFSUdJRRRUlHOTf8hW9/wCui/8AoIp1t/yFbb/ck/pSS/8AIVvv99f/AEEUtt/yFrb/AHJP6VRJF4i/5COh/wDX8P8A0B6k1jS5L1orq0dEvIAVXfnZIpxlGx06Ag9jUfiL/kI6H/1/j/0B616JRUo8r2FFuMro4ee1gj3i90a4jndjkCAurfimQR9a07LSb8/8TCJfsk8SbLe1bADpnJV8cDd2/u9fWukpRwQfSuelhIU5cybNp1pSVmcnc3L6rewRafmOS6UsGdcGFRjexHqCcY9SK6axtYdPtYra3BEcfcnJY9yT3JPJrK0jQHsL57u5ufNlHmJEqLtVEdtxz3J4HtxW1XUYHDv4cvYJViNhBMkk0nlo0uRzG43M2OmWGMjPXk8VOfC+rfai7vBMqIqnLhRchTGdrDGedrAkk9emK7GilYq5yjeGrp77zDBEkTRYVEuSBD8rgpnBYg7s8EDrxwK0NGsr620mXTZo1tyYnKTIwOwtkKOAAWHUkY7Vt0UWC5yNx4cv5LG2igs7S3KEb/Ll53KFAfJGBnaeBg9MnrT5PDV/Kb1FWCOGV3Zcy7mYsrjOcA4+ccHJHPOMV1dFFgucPrOhzWIaNbSO4W5LRwQruxFkRDcMDAOVb09fWtibTJNT0W9QRAfaL4zxrKMfKJFOfxCk/jXQ5I6E4o69aLBc5JfDN1JcxieK3MUdyJJJN2TdL53mAsuOCBxg/wAqta3oNzf3t3dQCPc62wQFgCyxuzOmSCADkdeOOa6KiiwrnHr4Vv4vMaARf6tlRJZd3WJVAJAHdT7dKLXwrfxPHuSEHK4mMoLQhZmkwMAZyDt4x+VdhRmiw7nO6NoN1p+tw3NwA0ccYxIko4/dhdhXGSBgkc4/Gqdz4dvBFJNsi81DuDq2W2DzSQPrvXiuuoosK5wlv4a1OTShLb2sEBuLbyRbmbHlboVUvnHUlckda6XQ9Pm0vz4GgiEUlzLN5iOOQxyvy49yPw961qKLBcyPDZ+fWv8AsISfyWmeERnwvZ59ZP8A0Y1P8Nff1r/sISfyWm+EP+RXs/rJ/wCjGqu5JT1zwgt/cteafKtvcu2+RGzskb+9kco3uOvcVnnw74luF8m4vcxHht90SpH/AAFQx/MV2tFIZ5d4j0K/8L3VpeW94wjOFW6hXyzA+P8AVgcjY3XnrjB7V1nhTxYutp9lvdseoxrnjhZ1H8S+h9R2+ldBcW0N5bSW9zEksMqlXRxkMPSuPsPAMth4hguUvkawt5fNiUg+d7KT0xz16kdqQza1rSZ77U7K5gjjIhBDM7/dGcn5cdeOCCDnrxXP23hi9udOtZUtI4ItkYe1EoBmwjqXORgNlxwRnj1xXd4FHeiwXOXi8OXaGSJoYGIlVxdtMTI6b0OwjHOApGT1wMdTVeHwpdW0UH+j208cRUvbGTasuDLwTjHHmKfwrsKWiw7nO6z4en1BbMW/kxPBZzQb9xOwsqhQCeccEZ681Rm8K3F3b3ebS1t/NgmSG3Em5YGfYODjuFbOPWuvoosK5yk3hm5iN29jb2oaaSb5cgBo2KFV6Y/hbGeAagHhS9WGTfbxSvJbqmRMAylZmcDJXB4YdRjjFdlS0WHc5u4027istGRwiSQo9vI0IJWJpIiisPYHj8azovCFxJpqwT28W9YJE2yTBh5hWNQwwBjOw+9drSUWC5yN54a1AzRLZxW6wJdGZCsgUxDzVfuDwVB4GOe+KrS+EdSNiyCOGSbMe0NNxkCQEkEcj5x79wciu3oosFzJniu9UsIAYRC8V0CVZjyqkjcO/PXFYr+HtTubFDcW8Kyw20NtHEs4O7ZklySNp5I+UjpnviuxpKLBcxtK+0x3ly3kIR+5t5GU7FyifOyg8kAkD/8AVWzijFLQIxdX48SeHf8ArvN/6KNPlyfG6Af9A9v/AEYKj1f/AJGTw7/13m/9FGpZOPG6/wDYPb/0YKoTOZ14WkfjgNrqyNZFFOFDEeWFOOF5Kh+oHfGaq2ljZ6z4jkstMST+yWcSsr54iA+YYPIDNwAe2e1d5fadaanEsd9bxzqpyu8cqfUHqKLHTrTTYjFZW8cCMctsHLH1J6msXTu9TpWIcY6b2sZWp6U2p22rQxwiGZ5I5YJSchnWNdpx2HG3FcjplzoktnqH9s287X5JW3CK5ZCFxsUjhWDZznH5V6PFbRwz3Eqbt9wwaTJyMhQox6cAVSvPD+l6hcGe7sYZZWGGYjBYe+Ov405Qu7ip1nGLi9jI+HyXP9hzeaQYftH7rH3Sdo349t+7261DeaDd38kkUKKs0M10jSudp2zLlGB7jscV1sUaQxJFEqpGg2qqjAA9AKfVJWVjKUuaTZyKeGr9tTt75YoLaKKRn+wiTcgBKADIHUbS4xxnFVo/B12YFjmjjJUSK5eYMsh8p0VwABjlgeefyrtqKdhXONudGvLRr9jBHi8jECuH8x3lYqARxkAYJIOQMcYrV1vQ5tQv3uYUhY/ZRF8zYMhEocoT2BUEZ963aKLBcwfD+gy2GpyXt1FCpaNhDGrbvIDSMxQH0AI5FZL+EtSSw8klLn96ZDmUKxDKyhckEAJwQcd/Uc9pRRYLnEN4eur3+1Vs5cGCVYrN5c4QnBnwe/UgH1qQ+Er6O1SNfKuH2yQo0khBhXKCKTPdlROe+TxXZ5PrRRYVzkLrwpdNEix29tKXecybpMbGecOsvTk7Rj1/Cret6Bd32uJcwLEyboWWZnw0GzduAHfO4Hj0rpM0UWC5xNp4QvoreFWSNJkLIZDMGxmFo/MXCjHJBx1NT2fhu6gMDSafDIuSGilueITlP3i7QOydBz+Zrr6KLDuchD4ZvoEjxBbOkPBt/MwtwBOz88YGQw69xirFt4cvLOa1uVjgkuIHVs+ZglBE48vOOm5lH0Ga6eiiwXILncdNmLqFcwNuUHIB2nIz3rnb/wD5JR/25J/MV0d5/wAeNx/1yf8A9BNc5f8A/JKP+3NP5imSdT2H0rI8Tgf2N5mzc0U8MgHp84GfwBNaw6D6Corq1ivbWW3nXdFKpRgDjg+/ahgjzaaN/sOrRqjERspb5T0Exb8fl5qpd749S0zcj4+yhxkHjBY8+nUfnXocfh6KMYW/1Dj1lU/+y1DL4Qsrgt515qLh/vAzgAj0+7SGW/DMSw+GNNRRgGBXx/vfN/WtQHBBNMjjSGJIolCRxqEVR0AAwBS0wOQg8K3MKRhYbdJIJAYnVuQPtPmEj0+Q4x7Yq54Y0+70O4S3urdm+0DZJMsoZcoCd5AAxuzjk5P4V0dFKw7nIPo9/b3N680MWL2RIo/KYHcfO3hiMcYTOSTnIPtV3XdDuLzXGvLe1gmiKQmRHcKZdjsTGeOhDA5PHy10WfQ0UWFc5z/hH7iTTtGtpjGWszKzncSIyUYJj12lh+VZTeEr86WITawyO0MkLxyzgqHZFUTDC4z8p9+a7iiiwXOUk8Pai0zDyoJIIpWlCmb/AI+QZVk2EY44BHPf2qew8P3EGuw3csCRxLtdRFPkQ4Ugx8jLDJz1A59hXSUUWHc5O58L3TXMk8UcDF5HeVC+PPHnI6ox9Cqkc9M1DL4Y1E2UqiKF2KoYoRNhYzvlO3kYZQJFGD1wcYwK7KiiwXOZ0vQ7/TtYnvZI0mdslWWYKpDBBsxjdhdpxk46V0560lFAgooopgFZFoP+K2vv+vKL/wBCatesi0/5Ha+/68ov/QmoEWr7/kKQ/wDXBv8A0IVBc9Iv+u8f/oQqxff8hSH/AK4N/MVXufuxf9d4/wD0IVJZ0lFFFSM5yX/kK33/AF0X/wBBFOtv+Qtbf7kn9KbL/wAhW+/31/8AQRT7b/kK23+5J/SmSQ+Iv+Qjof8A1/j/ANAetesfxF/yEdD/AOv4f+gPWvV9CeoUUUUDAkBSSQABkk9hWVY+Ira9dd0M9tFLCZ4Zp1CpLGDgsDnjqDg44NacsYlgkjJwJEKZ9MjFc0LLXX8PjTDZ2irbWqwhmkV/tDqVwVB4UbQT83cj0pXGbp1XT1ijla+tRHL/AKtzKuH5xwc888Uh1bTxa/aTfW3kb9nmeaNu7+7n19q5I+F9Qn0++jntULzxXYRZpUZsyMpXJHGTg5xUuo+GL6TUJbiGImEzs3kwSxozK0CRk/MCo5Ug98Hii4HUvqdjE0glvLdDEMyBpQNmfX0qKTWbdL82uHdgYBvXBU+aWCkH0+U5rB/4Ru9tbKRLW2Rma+jlJEiGUxLCE4dhjcCMZI6Zx1qxpGgXFpbWYuIWEsUdmr7ZlKgxF8/lu/HtRdhZGvBq8FzpNvqESSeVcOqIGIDDLbecn1qeC+trt5VtriKVom2SBHB2H0OOlY76PcL4c0+xij2tb3MUhV3UkKsu4nI4PFR+G9JvNPuroXNtFb2xjEcSh1kYfMxO1gM7OcgNyCTQIkHi618iS4NpeLbiCSeKYoNs6J97bzwfTOMipB4nj3iI6feC7aVIxbnZu+dSytnOMEKe/asM+HdbfSl05FMcVvZT2pP2oeVdZBEZCfwnnJJ6VNc+F7uFysdq17At5Fcbmu8SyKIypQuTn5W6c9DSuOx0M+tQ2tzpttdwzQT6gzJGjAHyyB/EQcDPAHuaZZ6y95qM9p/Zt1C0BAkeQptGRkdDnkVh3+g6tqDy3ML/AGFobeKO1tmZZdzI285fnblgBkV0NhbzR6pqNzMiqtyYmQBs8hMN+tPUNBH1W1F39na5VH3bMDkk/wBKLPVbW8m8uCdZcg4OMH8awNZsJLDVPtsVibk7yyurYxnsfcZNS+F9LdJ2u2szaqSSAzZLHsPoM15EK1d1+W3U9CVKgqXMnrb8TqaKKK9g84KKKKBGR4a+/rP/AGEJP5LTfCP/ACK9n9ZP/RjU7w39/Wf+whJ/Jab4Q/5Fez+sn/oxqfcRs0UClABBB7jFIpGZY69Z6jOY4POVdjSJLLGUjlVTgsrdwPw9avC4gCoxuIdsnCHzBh/p6/hXNf2drD+Go9IexhCWkaqWMy/6VscHauPuqyg53euKoT+GLy7hu3+wQRCWG5+zwMyn7OzvGVAxwD8rHI6ZpXY9DsI9RspUlZLuErFKYXJcAK4/h570XV/a2UM0tzcRxrChkk3MMqvrjrXJ6poOoTQXcFtpkLLLdTSh1aIM29PlYbuBg5ByM+lTTeHrqa2v7eTSreSaeKQpePKuQWhVQmOpwwxzx3ouFjq1mjkRJFdSjjcpBGGHXIoE8TPsWWMvt3bQwzt9cenvWPqlnePYadJZ2AeWGJ43tvNRNm6Ir16cHHSsX/hGdRVRFHaRRM9gIJJ2kRhvEIT5D95TkYI5XHPWi4WOwF3bsiuLiEq2QpDghiOw9TWePEli9iLmJLqUNO1usSQN5jOvJwpwcYBOTisjSPDskGq2N3LZmOOIzOyytGxjcqiqVCDA+6enPfvU9zbaxbaVfQ2Fv5k13fyPuSVVaOFyMspPG7HAHbNGoGhH4ksJp7aOIzMtyE8uURHy8uMqpPZiB0qRNcsnnWNWl2tIYlm8s+UXzjaH6Zzx6Z4rNm0y/nutLjttOFrDaFDE/wBoBWJdpDK6ZwzehGeucjmuf0+yurl47WGGMSYMLyNcKHhVQg2lDz8rKx6c5BzzSuFjvzcQLv3TxL5Zw+XA2H39KVZ4WDMs8RCDcxEg+Uep9BXHaf4ZukkVb22MuLlGlaRo2SZBKXLYAyTg/wAXPaltvC93aaYscNjbGUwOkqDYd5+0Bx14YhM4zwOlFwsdPeapb2Xll98iyGMK0eGU722jnPrVp5I45FR5EV3OFUsAWPsO9cba+G9Ujjg3wKmwoNrSJlQLkyfw8fd54+laV9ZXV1q63UmkRXHmRoitLMv+iFZCS2RzyMH5e4ANO4WN43MChyZ4gIzhzvHyn0PpVe51S3tog4cTZeNNsJDNlyApx6c9a5W38K3ri2SaxgRIPJjny6sLsrMHaQjv8oJ+bnLEVp6D4ek0nUoZvs8USeTcJIUI5LTboxx1+X8ulFwsdJ3pKDRTEYur/wDIyeHf+u83/oo1JL/yPC/9g9v/AEYKZq//ACMnh3/rvN/6KNPk/wCR4T/sHN/6MFMTNaiiikMKoazqw0eyFwbWe5JbaI4Fy3QnP04x+NX8ZpyghgeRQBTi1G1mkaJbmAzIu6SMSKWQDrkdsd6T+1bD7LHc/brXyJG2JL5q7Wb0Bz1rm9Q8KXlzBKkKQxySNekyBgCRKQUyffHPpVefwtfTbbgW9zmTzlngN5DvbeqDdu2bAMJggDPOfapuOx1E2sWsOr2umiRJLqdmBjRxujAUtlh1wcU621e1utRu7HesdxbSeX5buNzjaG3AdcfN+lYVjod7aa3bH7LGLaC6knFz5oLMrRBApHUkEcn2FM1LwzfX93dMnlxefeySCYMNyxtbGMH1+8en40w0OiOq2Atmuft1qYFbY0vmrtDehOetUn8TWEOqSWNy4hYSxRRuzDbK0i7hj2/xFYEXhvU4bBVW1cTF0WUvcxM5CxMgKHbtUAnHTcVzVux0HULUWryW0TtDJZsVEq8iOIo+D7E/jSuFjb0XW7XXLNJ7d1Dn78JcF4+SPmA6dKfDrNlIIhJcwwSzMVSKSVdzfMVGMHnJBrM8O6BcaXdW0s0UUYSxMLlGBJfzi/brwetY48J6h9nuVaCAzPbpHG28ZBF08p57fKwP1p3Cx2K6hZtJLGt3AXiYJIvmDKMTgA+hJ4pWvrRJFja7t1dyQqmQAnHX8sHNcm+gaotzdNDZwCISrLEnmqS5E4kIRsZVSBkhujdOKnh0PUWivJXtLUXE1tcpEkrq6q0km5QfbHXtQB0Datp62y3Bv7XyXJCyeau1sdcHNSfbrYXQtvtEP2gpv8rzBu2+uPSuXtfDN+wlNzbod7XDATSo7DfCqLnaAOoI4HFIvhm/Njc2D2lsWuI8i9eUboW+ziPaAOSQQeemCaLhY3bvX4YoreSyibUEml8stasGCHjkkfWtVhgkelYPhjTbjTIrlrmKWKWYxhvMnSTdtXbkbAAB29Tjmt3NAgopQpPQE0hBBx3pgQ3n/Hjcf9cn/wDQTXOX/wDySg/9eafzFdFef8eNz/1yf/0E1zt//wAko/7c0/mKBHU9h9BRR2H0FFAIxrrxA1rf3lv9hlmS3aJAYjlmZ1LdMcAY65p9t4gjvdQjtre0uGjYyqZyAERo2KkH6kcU3Tn8vxRrSkMN4t3BKnBAQg4PTrUVilzoXh67eW3aaZJp51hjO4uGkJUDHcgj6UkMu32rCwvbSCSCRkuCwaYfchAGcse1W/tMGSDPECpIOXHBAyR+XP0pLi2S9sZradfkniMbr9Rgj9a4+w8KazBHcSXH2aW4ntXdwzbka6bCHg8Y8tVx2zmhsaOrbVtPW2S4N/aCCQ4SQzLtY5xwc81Tm8R2yzywWqPdzQTpBMkWCYy2ME+3P6GsOLwvqTrMZ4EPmC8KiWVGYGWNFTO0AZypzjgVt6FZXOnT3q3EKJHIsLJIrg7isSqwIHPBX8c0XCyL2p3x02ye4FvLcFWA8uIZY1Fba9pd3byTJewIkcxt3MjhcSA428/p7VNpl5Leadb3Utu9tJKu4wseU9jXLzaFqMcs7DT4blDLeBY2lUBlnIKvz0xjaQeeeKAOkstS+2XV7D9mmiFrJs8xxxJ15X24qjeeJ4bHVHtLi2mjiWSOM3L4WLLgnOT6Y5q1EZ9NtdLsvKkuXIWCSQZwgVOXPtx+tReIbK5u7eyNtbLdNb3kc7Qs4UMq5zyeM0AXhf2rLuFzBt2q2RIMYbhT9D29aq6jrUdjDC8EL3rSsMR25DNtP8f+7kda5keHNWtrPyUtIZftIgMhE6qINk7SEc/e4bAx6Vq+DbXa+p3SMDbG5a3tGGceQjMc/wDfTt+QouFjZ1W+OmWbTi3luSHVBHCMscnGfoKdFqNlNJJHHeW7PEu6RRKpKDuW9MUumXUt5aR3Etu9s7Mw8tzyAGIB/EAH8a4q00a91WyfyrSKKOGa9w7uB9pLTZCEDkD5ep9qLhY6m6161t/IaHF1HOkrrJFIu35ACRknHerLalZpK0Ul1AkqKGdGkAZQemRn3Fcxf+HdSv47uVLWGBrr7QRb+auI90aouSOMkqScdKmu9Ha3tNSTUbK2+yf6RN9vZwWAdeAB1znA54wBii4WL+q+I3sbmS3tLJrp44XlaTftjRlBJRmwcHA/UVr2dwLuxt7kLt86JJNuem4A4/Wufs4Z7X4fytfB/tdxayTzhVLEyyAkjA56kCtrSFaPRrBHUqy20QIIwQQg4oEW6yLT/kdr7/ryi/8AQmrXrItP+R2vv+vKL/0JqfQXUtX3/IWh/wCuDfzFQ3P3Yv8ArtH/AOhCp77/AJC0P/XBv5ioLn7sX/XeP/0IVJZ0dFFFSM5yb/kKX3/XRf8A0EU+2/5Ctt/uSf0pkv8AyFb7/rov/oIp1t/yFbb/AHJP6UySLxF/yEdD/wCv4f8AoD1r1keIv+QhoX/X8P8A0B61qvoT1CiiigYUtJRQBRvNVWynERsNRuMjdut7fzF+mc9apaH4kGqWOpT3NpNb/wBnyOsjFMLIFG7K5744I7GtvNNSKOOHykjRYsEbAoC89eKVgOfm8R31tpcd5c2EEInEbQ5uCwYMpbGApYsMAYAxzntUMHi+7vXi+x6bEY5Psy5luCpDTJuHAXoO/rWkvhfTVhEarcDa4ZH+0PujABAVTnIXBIwPWpbbw/p1mFFvAUCGJl+cnmMYTv2H50aj0MiHxqJ5rWJbE+Y4BmRSzEZlaM7MKQcbS3zY4ouvF89ppkd9NYwKshkZUE7MzIjYzgLwT78Duea1Y/D2nQSwyQpNE0RP+rndQ4Ll8Ng/MNxJwfWm3XhvTbu2jglikEcaPGAkzLlGOWU4PIzg4PpS1DQTWdWk027i8i3muD9kmmEKN98rswMY6/N/PrUS+I8+Gn1UQwyMG2IkUpKOxcKOSMjk8gjIrQvNMtL9la5jLlYniGGIwrYz07/KOfaq8ugwf2Hc6fD83n5YtcOzlnJB3M2c5yByDxgUAZ7eJ7mGd4p7CIGA3BuGSYkKkSqSV45J3cA1BH4xkk003H2SNX3oo3PIFYMhbA+TczDGCACO+cVf0Xw3HYQs18Vubl3mZm3My7ZMBlO45bhRyam/4RrT/sqQFrwrG++NjdPuT5Su1WzkLtJGKNQ0K2ga1d6rqdzvSJLT7LbzwqCd48wMSG/Kt881QstHs9PnEtojoRAlvjeSpRM7eD3GTz1q9TSEFFFFMAooooEZHhv7+s/9hCT+S03wgP8Ail7P6yf+jGp3hv7+s/8AYQk/ktN8In/il7P6yf8AoxqYiTUdd+xC4VNO1B3iU4kFsTESB13Z6e9R6fqFx4j8O2t7bLNpzzFHZZU+YKGBYD2YAgH0Na0iJMjJIodGGGVhkEehFOAwABwB0qSjm/8AhLZJLGO4i09mMlqlztDkhA0mw5wCcLjJIH4Ug8YqbuGD7HvJiR5TFIXCllJG0hdpUY5JI69OKvw+FtMgEgjjmUuAAwncNGA24BDn5QCSQB61PHoOnRNG0UcsexPLKpMwWQc43jPzHk8n1o1HoZ9vqOoXq6DfuVs7e9kG+1UiQsrIWBL446DgfnTYm1OTULy1XVJZGWLMzpCpWBy2VSMY+9s7HOMg1tLYW0cFnCkeI7LHkDJ+TA2j68HvVCLwxp8YnVftWydi7qbqQjcW3bgM8HI6iizC5h/8JJeNaQWxluRMZJQxCoJ8CTZGjZG0N/eOO3vTo/GMltZorxNdzN88ZZtrNH5ayc7VPz/OFwAAevFaV94WhligWwKxtGWLeczkybm3Fi4O4OGGc57mrEHhiwi063t2jdHiyfMhmdWyV2kBs7tuABgnoBS1DQz28VXhuWjt9KVx5kqIZLjYSY0DtuG044OB15qS98ViKZ4Bb7UktXljkSYGRSIvM5G0hfQZOe+MVrLotgkvmLAd2+R87z1kUK569wBVaTwzpkkpkaKX7pXZ5zbeU8snbnGSvGaNQ0K1jrjw6XrF/dPJLHaylkU4yF8tGC/mf1ps+uX1tIqS6REL0xPMw+0Db5SKpJD7ck5YDGOvtWkui2SxunlExyZ8xC5KvlQpyO/AFQf8IzpphWNknbBJ8wzuZCCACpbOSpAAx04pgUD4ruZ5P9C0xJIndo4nkuNhYiESnI2nA2nHfmp57y5tvDNzqazMXulWaBWGfIEgRQvvgkmtIaPYB9ywbSJGkG1iAGZPLOB/u8Us+mQzaO2mrujg8nyUwclAB8pye4wD+FIDJTxQyatNpFtZvcyW26ISO7As6x7ssduAp6Zz17YqBvFlxNHbahb2af2bJaXVyFaTEjrHt2npxnJ4rTPh61lLyXXmNPMmLgRyukcjbdrNszjJAxn0pZfDmmyrtMDKn70bEkZVxIAHGAehwOPXmizAzbnxebG7hhvbRI96bn8qYyFD5Zk/u46DHJB56Yp769qaT6WZrGGCG5m+Y+fu3R+UX444Iwcj2960m8PadJefaZIWZ+CVMjbCQuwErnBO3jPpSReH9OgSJUilJilWVGeZmYELtAyT93aSMdMUagZmn+MH1WKMWemlpp2XyQ8jKm0qzcsV+8AvIGeo5o8M391K9klzM8v2zTlujuOdjq21uffcv4g1fHhuwFuIFFwqI4ePFw+YsAgBDn5RgkYHY1Np2kRadc74sCKO3S2t4+T5cakk5J6kk/oKYFXV+PEnh3P/AD3m/wDRRqST/kd0/wCwe3/owUzVxnxJ4dz/AM95v/RRp8nHjdP+we3/AKMWqRLNcDNUr7VFsJhG1jqNxkZ3W1uZF+mc9auZo3H1NIZjeH/EB12K/Q2s1tJbStD5jIQrccEZ7juOxrN0/TrltUvohqlzvsbi13yEkmdFiBZCM8bjya6hI0jQJEiooJO1Rgc8mqlppn2bVNQu/OLrelGMWzGwqu3r3yKVh3OfHjiYWkctxYRxPcJA8IWVnXEpYfNhc8bCeAafF4zeW5t4Rp8gd1RpVIfcu52TKjb0wpbLY4rZ/wCEd0wQrGLdl2RRxIyyMGRUJKEHOQQSeevNA0KyE0Mq/aBJEoXd9ofMgDFhv5+fBJPPrS1DQxI7rUPEt0qLO+m29zY+dA8Em5seYBkjAwcenrXU3sT3NnLBDMbeR1wsoGSnuKpaboFhpd0Z7WORW2GMBpWZVQtu2qCcAZ7CrGn2X2C2MRmkmYyPIXfqSzFsfQZwKLAczB4ju9IF99uj+0wLc3gjkEh3/uhu24xgDAIHpUkvjSWCwM72UYdXZcFpAsgVA+UBTceuCcYBHJrck0PTZdwltg4Z5ZGDMSC0ow/5g1Xk8NafNAkUv2p9u753uZC5DAKyls5KkADHTijUNDJbWtQOs+VbyL9muLmUMJCdyKLdXAX05JP1p2jTahrlrp0FxcSWktnDbXbvFIX+1Iyn5XyBgkrk/Wtk6BYF438lw0cnmqyyMOdgQ9+hUAEVYs9NtbA5tYyjeQkAO4nCJnaOfTJoC43U7Ce+giit7ySzZZ0kd4xyyg8p7Zrn9O8UTi1tSbXzIdsLTSyz5kHmysgx8uDjGe3FdLp1qdP0+C2M8lw0SbTLIcs59TVNPD2nRRiOOAhQIwBvP/LNy6fkxJpiM+08VzT3BilsVhYXMcHltIfMTc5XLLj0AIIyDnrxTofFM0zzbbKFY4IHmkeSfbjEjIB077c/41ZHhfTQJV8ub95tw3nvmMK24BDnKgNzxUkXhzTIraSBYX8uSHyWzIxJXcW65zncSc9aNRmZ/wAJbcSW++3sIpHRbh5N0rIMRbc7crnnd3AxU8/iOeC1vb/7CG060DhnEv7wsqg/dx0JO3171fh0DToUYCKRy6yqzPKzM3mY35JPU7RzSP4f02SeSSSBmEilWiaVjGcrtJ2ZxuK8ZpahoZNvPN4kQ3UzzW0Vn5kbwxFxFdho++4KflJx06itfw3J5nhfSixLN9kiyxOSflHU06HS0tLCa3tJZQ0gP7yeRpmBIwD8x5AHapNMsv7N0y1sg5kFvEsW8jBbAxmmIlu/+PK5/wCuT/8AoJrnL/8A5JR/25p/MV0V2f8AQbj/AK5P/wCgmucvufhR/wBuafzFNCOq7D6Ckpew+gooAKr3t8LBI2NreXG8kYtofMK/X0qxSgkdKQzE0zxEdQ8RXGmNYXUISETo8kRTaOm1x2JPI9R9Kz5tKuzr8tomqXIleyllimLHEZabptzg4U4FdSFVWZlVQznLEDlj7+tU3sWOuR6gs2AtubdoimdwLbgc9sGiw7mDN43EF/JY/Y91xEWiYB+BLvCxoeOrA7vwNOk8XyLfXdtHaQzNEMxlZjhj5qx4J24/izxnGMHmthtB0+S+e7e2U3DzpcM/PMiKVVvwBNRR+GNLimeVYZSz54MzFVBcSEKM4A3AHj3o1DQzjqeqatfDT4fJsw4ureaRWLMkiYAdOOnzA9u9dDZ272mmw28lw88qR7DO4+Z2/vGqy6NaJdrcxo6SrNJNlZCMs4AbI7g4HHTipLax+z395dGZ3NyUwhPyxhRjA+vU0Ac5aX2peH9Rura6nfUbeCO0SWeV9rguzLuVeR1Izz2qyvi9fIt55rZY4XgS4mcycRIZTGT05xwa1LnQbC71Nb+aORpxsJHmsEbYSU3JnBwSSM1QvfCdq9heQWShGvI/s7+e7ukcRYswRe3JJA6ZpAW9Ijubyf8AteaeQRXUCiK0DZSMZ4b6kc/jTdbubjSFl1WNzPGsccCWROxN7SAbifxHbtVy809bq0traOWS3jgliceUcEqhBC8dAcYPtUev6Yda0iaxEnlGRkbfzxtcN278UAZb+K7kNcQpp8bXNmk0l0vnEKFjIB2HHJOcjOKpReJJLeS9uXM1xGJ7hoo94A2hY9i/m34c1tTeGdMlhWNoZcKXLN5zBpQ5ywds5YEgZB9KkfQNNkEwktgyzGQuNxwd4Abjt90fTHFAFC88Q32lyLFf6dEk8uVgCTblmk3KAoOM87u/900waXPput6c9xfz3bz3khAdjtjXy2OwDPT/AAq03h2IXenMhDW9pO10zTO0kryldoO49sH9BV67sWutQsLgT7EtXaQx7M7yVKjntjJoAuk8570lFFUIKyLT/kdr3/ryi/8AQmrXrJtP+R2vf+vKL/0JqOgi1e/8haH/AK4N/wChCoLn7kX/AF2j/wDQhU97/wAhWH/rg3/oQqC5+5F/12j/APQhUlHR0UUVJRzs3/IVvv8AfX/0EUtt/wAhW3/3JP6U2b/kK33++v8A6CKfbf8AIVtv9yT+lUSQ+Iv+Qhof/X8P/QHrQmukhfZtd3xnagzge9Z/iL/kI6H/ANfw/wDQHqy3yzXr9xyM+y8U+gluP+3f9O0//jv+NL9u/wCnaf8A8d/xrhdJ8fvc6O2q3qR+Srx2qwRgK7zkbmYljhUx0z1rZ0nxhp+s6hFZ2sU4lkj87DgDbHtBDH2JOPrSuOx0H27/AKdp/wAl/wAaPt3/AE7T/kv+NceniXUrG91k6i9tc2+nTRwLHBEIncugYHczYGBx71HZ+Prd9T1QTrI1rBbx3kRVADHCYlY7ueSWYAD+lFx2O0+3f9O035L/AI0v27/p2m/8d/xrlk8cWTQW8ptpgJZTC3zodhyAOh+YfMOlNtviBpl3dSW0MU7SxKzOp2jaFUluSccEY+pouFjq/tv/AE7T/wDjv+NJ9u/6d5vyX/GuXt/HdlcvbRpaXAkuXMcSEqdzh9jKCOOOufSrmuaxNp+m2Nw5GnmefZKZ4vNMShWP3VPP3R+BouKxufbv+nab/wAd/wAaPtv/AE7T/wDjv+NcrceLzHpjhoPKvxbbzyCqyGPeBjOcY7++KtnxNFAY1mR2824eEONo2kSbB8ucnnuKLhY3/tv/AE7z/wDjv+NJ9u/6d5//AB3/ABrlLXxXK2nWM97E0TbPNuDtBEkexzuXB45XpWlDra3mkveQq0RjnSFg2H5JXoQcHhuo6fhRcLGz9u/6d5/yX/Gl+2/9O8/5L/jWAPEzO1sItPkHnTRqfMdeI2LDeMd/lPFNi8ZWdxAZbe1uJQAXAUrygRn3Zzjop469KLhY6H7d/wBO0/8A47/jR9u/6dpv/Hf8aztK1GTU2vS0HlRwT+XEd2S67QwJ9DzV+ncLDvt3/TtP/wCO/wCNH27/AKdp/wDx3/Gm4oouA/7b/wBO83/jv+NPhuUmYoAyOOdrDBx61DikXi9t/wDgX8qLiKnhvO/Wf+whJ/Jai8KSLF4UtXkOFBk5/wC2jVP4b+/rP/YQk/ktV/Dqj/hFdO/67N/6G9NiXQ1Ref8ATvP+Q/xoN5/07z/+O/41y3iDxHe6f4ntNGs/IEt9EnkySrlUcvhi3I42g4Hc4qH/AIWNpG6Y7Z/JhcK02BjGSu4gHIG4YweeRU3Ksdcb3/p3n/8AHf8AGk+3f9O8/wD47/jXL63rOpJpek32mNDbLfzwwtHcwl2XzTweCOnpVLUvHQsYnV1aJ7O6hS5kIVlkjLMrlQCdpypwDzRcLHai+/6dp/8Ax3/GnfbT/wA+03/jv+Nc3/wmtgNTFg9tcrOIw7r8vyMY/MCHn+736ZOM1Xf4i6VBbxy3UU8G92jwSrAEEZ5BwQAwOaLhY6z7Z/07z/8Ajv8AjSG9x/y7z/8Ajv8AjXLyePLJDGDZ3OZLY3CAMhJAXfjGcg7RnmtLSdaGsssltay/Y2LgXJI2kqQOB155x9KLhY1vtv8A07z/APjv+NH23/p3n/8AHf8AGuW0/wART/2ZNf3jGZQ7KIhB5IXDN0kY4fhe3epr/wAWC3gvGtLN5ZLeFJR5jqu4Nt7ZzjDdemQaLjsdJ9s/6dpv/Hf8aPtn/TvP/wCO/wCNZmo60mnXiwPbTSKIhNK6lcRKWC5OTzye1UT4xtFlhSS2nTzcMMlSQhfYGwDk5IPHUAZouKx0H23/AKd5/wDx3/Gk+3f9O8//AI7/AI1zV3r8p1dxbyZsVhURMiAiSRhJ97PIA8vtTLfxa0NksmoW3ztsWPY4HmZhEjHnp1OB9KLhY6n7bn/l3n/Jf8aX7Z/07z/kv+NZemax/arSNb2sywJIY/NcgZIAP3c574quviWJ7ya1jtZXnSRY0RWX94SSOucL909aLhY2/tv/AE7z/wDjv+NAvc/8sJv/AB3/ABrn/wDhMtPwT5Nx8sW9xxlTsL7SM+g69MkCp7bWpbvU7e2SxkjVxJ5rO65jKhSOh5yGHSi4WNr7X/07zf8Ajv8AjR9tVeZIpUX+8wGB+RpnIpH5jcHptP8AKi4WKWrt/wAVH4d/67zf+ijUkgJ8bp76e3/oxarXv/IX8LH1kk/9EmrLk/8ACcxgf9A9v/Ri1RJekvUR2RI5JCpwxQDAPpk0wX+f+Xaf/wAd/wAaxdcv5dG8K3WoxbWkgG8BhkHLgHj6E1kRePre2sbO41FMnUC8sMcQAMMIfYN2T8zZ6gc9eOKm5Vjsjff9O83/AI7/AI0fbiP+Xab/AMd/xrD0rXk8Ri8h0zdDPbqFZ5k3LHIWI2kA8kbc/iKydP8AGFxZaVa3mueXOt3O0a/ZownlBX2EkFstk46UXCx2Qvc/8u0//jv+NL9t/wCnef8A8d/xrirHx9Eul3E15HJLLb3ZtWZAqK0hZtqjJAGFGSTxVtvHdipQi2uGSS3+0IQVyQF3EFc5BAz9cUXCx1P23/p3n/8AHf8AGj7b/wBO8/8A47/jXKR/ELTLi1uJ7WGeZYMbsMq5yxA6nvgke1WLbxjb314LSysrqe5aETpECoLRlAwbk++PrRcLHR/bcf8ALvP/AOO/40fbf+nab/x3/GsLWNebStSNu0Ujq2nvcKEhaQhw2Pmx0Wql74tXyXhtlIul2DzCAV3bkDjHUff4J64ouFjqPtv/AE7z/wDjv+NH23/p2n/8d/xrnT4ugETSNZ3CDAaMOVAdC5TcTnCjI746irupa4mmRW7m1nmM0TTbUKgoqhSc5OM/MOlFwsav23/p3n/8d/xo+2f9O8//AI7/AI1jP4khiCedbTRnzzBIC6ZjYMF9fm+8Dx2pbLxDDdwzSyW81ukcH2gF8HdHlhkYP+yePcUXCxsfbP8Ap3n/APHf8aPtv/TvP/47/jWE3iYRQo8unXSs0TTlMqSIQAS+c4P3hx1pV8TxNOUWxuTEGYCUMmCqyCNmxnOMsOOtFwsbn23/AKdpvyX/ABpftv8A07zfkv8AjWHF4ljlmRTY3KRu6qJCykYZygbAOfvDp6VB/wAJbAxkSOznkmR9hjV0PGxnznOOinjrmi4WOj+2/wDTvN+S/wCNBvP+neb/AMd/xrmZvFBF5E8MErWSpMzsAC0jIqHCjqMbua27C8W/so7lF2LIMgblb9QSCKLhYtTyrPp1yyZGI3BBGCDtPWufvv8AklP/AG5p/MVuE/Jf+9vn9GrF1D/klP8A25p/MVSZPU6SWZIVUtkluFVRkmoje4/5dp//AB3/ABqO5J+2Jz/yyP8AMVxp8Zzr4p1LTpWhjttNMk8z7MsYFRThRnlizfgKTepSR2v27/p2n/Jf8aPt3/TtP+S/41x8fxD06RISLa4Dzt5caZU7nyo2gg4zhwfzq3rF/qtl4it7eC5tRZywyTsrQEuBGBuG7cBk5OD2pXCx0n27/p3n/wDHf8aX7b/07Tf+O/41xUXj6G51LT1hglWO4lltmtztLNMNmzDA4xhs5q+njrTpBeiGCeRrU4A3IvmDcUJ5Py8joeTRcLHTfbP+nef/AMd/xo+2f9O8/wD47/jXJyfEfR4njRo7gSSxrJEhAy4ZQy/TJOPqDUs3jqwt7q7hngmjFq6rI+5WABJXdweOVxjryKLhY6f7b/07Tf8Ajv8AjR9t/wCnab8l/wAaxZdXuW8OXmppZvbeXbCeHziDvym7oPToagm8WRwyODYXJjjMm6UMmMRsFdsZz1YYHei4WOh+2/8ATtN/47/jR9tP/PvP/wCO/wCNYX/CTpu2rYXJZ5DHAMr+9Ik8skc8YPr2pyeJ7c7Hkt544JD8kzY2soYoW65ADevqKLhY2/tv/TtP/wCO/wCNH23/AKd5/wDx3/GsEeLbNnkVbe4OyLeQAC2dqvjb1HDDnp19Ktz63DBosepGF2jkIAVXUgZzyWzt28dc9xRcLGn9u/6dp/8Ax3/Gj7b/ANO03/jv+NYU/iJYHn/0eacx7pCiBQY4wFySc/Nyw6UieJ4n83/RJ12hihd0USBZPLJzngZ9e1Fwsb/2z/p3n/8AHf8AGk+3f9O0/wCS/wCNYVn4gSe3vr5g32OGGKVFA+b5lJI9zmny61NBcn7RavCFg3GGRlB37woIfONuDRcLGz9u/wCnef8AJf8AGl+3/wDTtP8Akv8AjWBF4kS/jR7OCUKTCdzhcEyZwmM8H5Tz0FS6brwu/skM9q8N1cIj7AQVwysxYH0G3H1IouFjdju1dwjJJGW+7vAwfbIqha/8jre/9eUX/oTVPPxGuP76/wDoQqG2/wCR2vf+vOL/ANCancTLN7/yFof+uDf+hCoLn7kX/XeP/wBCFT3v/IVh/wCuDf8AoQqC5+7F/wBd4/8A0IUijo6KKKkZzk3/ACFL7/rov/oIp1t/yFrb/ck/pTZv+Qpff9dF/wDQRTrb/kLW/wDuSf0pkkXiL/kIaH/1/D/0B6sOc3N0p5DHB/FRUHiL/kIaH/1/j/0B6lmQyS3iKxUtwGHbK9ap7CW5z6eHvD05mtI0dTbRwRuyTldu3JjIbP3hkjPXnFS6ZpllBr97qMdzE5WKOwVc/NHs5IZieWOR+VZn/CJXxjBaO3jUeWphilAEm2Joy+SpAOTnpn8asT+FpiJESOJ4mnd9ol2lg0arknaeQVPPU54qSi7qOi6JK1w16wja7uonkYTlT5wGxMY+6SOKZbeENA2Bls3VpIymyWUhigTyyCM9NoH5A0waDON4+yWbMlys6zM/zzgS78Nxxgcc559qrxeGb6MxqzQtyjedvO6LaXJVeOjbxn8aALx8I6NN5G7z5WiJCObtmZsMGwTnkAgHHanN4U0EvcObdMyCVZT5x481tz9+DkcelLoemSaPdxRfZYmjkRCZE6QskSq34sR+nNZOm+H7m4aCea2ghiS4JkRj804FyZNzDHoMDOetAGhD4WsrfVtPmtpF+z2LTS7HkLytNIACSxPTHOPWtJbKxjgtIdxZLE+ZH5kxYgkEZYk5IIY9a58eFb1ba5EciLd+ZmKZnyrKWbcSAAQdjsOSecdqc/g+Q3VyFCtC0ytGXkGDHvjJQrjPATuSKANBdG0cyTWqzSDNsBLD9pO0xkFQx564GAfappvDemNJHPIJExJvBE5VXbf5gz6/NyB71lL4YuIUmAggkDxhVKybGXbO8igHBH3WHXj5cHireq6Nf33h2ysVFr50cbLKBhVBKEAqSDgAnnH4YoAtxeHNKtlaIIXUDlJZi21dpG3BPC4Y8e9Tx2dnFp4tWlkkhyJMyz7mO0gg5PYYFcvLot3e6nc2sMW2RfOd7ogqJNzxMEJI6YUgdRV+Pwm8bo4SJSJImAd97IoZ2dQQAMfP0HHagDUi0/Sbqzt7iFgYAI2ilWUgYViy8/Vj9c05NB06CJoBvKKrDY05IjVlKkAfwrgnFZx0W4XRNKtvs1tI1lxJbs2I5RsZc5x7g9P1qnP4Xu5Y5YlS1UMXbzd5LOG2fuzkZ2rtI5Pp70AbcE1hp2oizti5lu184gPuRVUBd3XjOAOOprQMqr1YZOcDPJx1wK5y58MSym5MK26FopUiA427plkUdOBgEfjTv+EfvXvIrl47ZZDJI7/vd4QMzNjBHXkfMCO+cigDoo5EkjRw2NyB9rHDAH1HanKysu5WDKe4ORXJT+GL6aB4ALYExsPP3nccwiPyzx90EZzW/pdi+nvcxhIltpbh5k2HGwELhdv1DGgLF+mr/wAfkH1b+VKcZ4pE/wCPy3+rfypiK/hviTWf+whJ/Jap6CxHhTTf+uz/APob1c8O8Saz/wBf8n8lqhoDbvCum/8AXZv/AEN6p9SV0G6npWl6vqE0d6jtcG3RSQ5XCb9ykEdGDDOetUtQ8H6fdaXeW1pKsMV9KvnGSUugG/cwQZwrE/zq1qWhXN5rcd/FKnlpD5XkucBiQw3fVdwI/GqcvhW4jQi3jtHj8sIIGbam4wCMv06hhn3z61BZv3mmWd7FbxXKgpbypNEA+Nrofl/I9qyJvC/hy1iuLqdAsAk86UtOSilWLYxngZY8e9Vh4Vu49XhmF0rWyOu9GY/MoAZvxMqqfpmn2Xh+5j8P6np80duv2ldsK7t38OPmbAzz0JGQOuaALK+FdCjUsFfY8HkMDdNtdANo3c8kA4BPQYpn/CGaE0C25gaRf3jLvnLMfMQI5yTk5AH061mTabNLfXky2omhS5thFbuMKGJDTAHH3cqvOMVf03wvcWmqWtzOYyke1wI5MeSQX+QZGSvz9iBxzQMnfwnpone6tY1ivFhMcbPIzRqfL8sFkzg/LwaNFTSNFt9NtYrh/PtIEtgrMVA35bcydASVJyenTvUNz4YuJPED3qTx/Z3nDGNs58ogNIuPUyIhH41FB4YuVnia4S2kTEJcnnJQSA8Y5++p/CgRtT6Pp0lhBYsXWKAtLHtmKuud2Tnrg7mH41TuNE0eW6+zStIZZ4GiSIzk7UAXcV/unheayR4SvXtxBI1uG8rH2jcS3+o8ry+n3d3zf0zWrp+k3MerQX91bWwdXk3bZNzIrIgBBxzypyPegCK8gsb2/TUri4mNvD/oTRgsN8nmrjdj7w3Y/nUzxaPb3rrvlim0yASybZGX90WLDd/eGQTio5dK1E2NzaxwW7A332uOQz43DzQ+0jHHA61Bqnhy81W8muSYYDcxiCdA+7MWDuXOP7wX9aANdrOw1cR3rIzidY5A24jIAbbx9HP50xvDunsoCi4iK7NrRzspTauwYPbK8H1qbSree0022trlU3QQpHuVs7iFAJ9uauUwKkOmx2tyktszxqGeR03Eh3bHJz6YrOu/C8It5TppMNwzh1Z5X2x4YthcHK8k9PU1u0UAY1p4Ys7eySCRpnJtxBNtlZVl+UruK+uCRmryaZapdJcxrIsqMzAhzg7lCkEdxhRx7VapaACmv/q2/wB0/wAqWkf/AFbZ/un+VAjOvP8AkL+Fv+ukn/ok1bf/AJHqL/sHv/6MWqd7/wAhbwt/10k/9EmrMhx46iP/AFD3/wDRi1RLI7iyh1PSHtb0E28n3wG28Bs9e3SqR8MaPJdJOFZZTK0y+VcFSSxBYAA/dJUHA4zVu7ilvNClgthGZnGAJR8p+bkH8M1jw+FrgRRF/ISWNkKuGyY1ErMQCAOzDpioLRoeHbaDTrrVY1mikupbn7XOY12ou/O0Dk9AvPvUc3hLQrqK3hdDi3DtHtuSDtZ97ZweRuANVbDQLq203VIGitYZLqzjtk8pshmVGUuTjjOR71Hc+GrmWR44Ftoo/vpKDhgPJ8vysAfdzz6e2aBlqTw14eSb7Lt2Tz5kCpcFXJRi28YPUFzz6HFLL4e0G0lXUZvkD4j3tcMVcsvlDvyxBxmqcnhq+uVuHcW8M0/n8q+4xb0QDBxzyhB+tXzokjaAbQRRiQ3aXPlSSBlGHViAQoAyAeg70CG/8IhoEVtNEIRHGTHvKzFShjG1Oc8cH8c1Dp3h/Txq+oSLIVjitI9NjRWZHjjUbid+ck8jkdAKik8N30kt7LIlu7TbSoSQKNyu7bgNuOjDhs55zQfDN4JbuR2gl+0wrEYw5QJhV5Q4+XJUg/Re2RQB0M1ja3MpmddzPbm23BzzGTkj/wCvVX/hH7Fmkyswjk2l4xKwQkEHdj1+UZNO0e1ubOwit7lIRsU8xkdSScYAA6Y5HGc8VoUwMSx8LW0GneTcyzyTsCGmSZlKjczbV9F+Y8VoyaTYywQQvCfLghNvGoYjahABH/jo5q1S0AZtx4e0+5uTPIkwcyGRtkzKHJIbkdxlQce1M0nQINNs2ikZriSWPy5WdiQVyTtUHovzHitWigDI/wCEX04wJE32llXIybhizKQAUJ7pgAY9qsjRbBekLc7/AOM/xuJG/wDHgKvUUAURoliFVPKbaoUAFz/C5cf+PE1XtvC+mWhzFHMew3zM2BsZABnoArEVrUUgMr/hGdOEjOFnBKFAFnYBcgAkDscKvPtV2xsYNNtFt7ZWEakt8xySSckk9yTVikpiIyflv/8Ar3/o1Y1+f+LUf9uafzFa5+5qH/Xv/Rqx74/8Wo/7c0/mKpEvc3Lr/j8T/rkf5isebwzo9xczzTQhpZJTPITKQcsmw5/2SvGOlbNx815Hj/nkf5iuYvPDV9d6teTuLbyZtyj5sblOzAYY5I2nOT6VL3KQt34fsdPfR5hP/odnc+Yiu5lkkkYBEwxP3RkZ+grX1bT9PdZLrUl3CC2lRgGP+qYfP8o68CsmXw1dC6BSO0eIz71LPgwKJzINox3U4wMdKt6xo019d6g8cNs/2qLbHPI5Dwny2TaBjoSc+nJpDI4/B3h2G3CJC2EHmbnuGLISF+bJOQfkXB9qLnwzohhn3RzFXcXOyO4bKsCTujUHjJJ6etUp/DV9Nd3ckiwOkkbIoSTZv+ZGX+HgjaeTkE9sU4eHb/CZW0WQ2hhkdemdrABRj5Tz1BweeOlAD7HRNBu7p4YrOTGn+XEJnf5cxHcFznPyk856/hRqPg7SHsLqK3dLcXajzmkkLjyhJ5jbATgc557ZNMm8M3JeeSMW4MkryFegkBkjYK3HQhCD9adP4fvbm+tpPIs4LdDlkjbIUHzNy9Mn74PUDrxQBsCLTry3u1Vna2u40VyZCI2QrhQnOBx6d6a2hadKzxsm4sJA6CQ5xIwZuPcqKxD4YvCqsYbRwIli8hn+QEQmPd0xween61f0jw/Pp2pwXMrxSMjSeZL/AByKY0Vc/ipOKAJrHw/aWYkluLgzSrO0u4ykLFmQuABn5eTz609/DukPDd28se+K6TEkTTHCoW3EKM/KC3PHeso+HdQ+3y3TR2si+asnk7wqzgSM2CMccMOueRT7jw3cyw3cS29krTbZI5Q7Ziwqjyhx93K9enPSgDYl0qxeeeUySxmdf3ipcFFJAA3YB4YBRz7UjaXYnTEsfMdYMl1ZZyHJOSW3d85OfrWOfD19JJeXLxWn2iZH8tWO8IWm3kZI/u8Zx19qLTw9LbIv26C2nhKYcu5JgUO7HbgDOQ3bAyOhoAual4Wt7y1S3sZFtVHyuwLE7SFGBg9MKODx3q3L4d02VVXy5F2Z2sspBUmTzMg+u7mq/ha3urfSYTdDc8waV3bh85wgK9vkAraphcoW+iWNtaS2scJMMyCORXctuUDA5P1qP/hHbAxbGFwz5Dea0zGTcDuDbvXIrTopCKFrolhZoEhiYKGjYAuTymdv8z9aitNFjtNWjuVIMVvam3twxLOAzbmyT24AA9K1KSmMjuP9Wv8Avr/6EKit/wDkdrz/AK84v/QmqWf7i/76f+hCo7f/AJHS9/684v8A0JqfQlli9/5CsP8A1wb/ANCFQXP3Yv8ArtH/AOhCp73/AJCkX/XBv/QhUFz92L/rtH/6EKQzo6KKKko5yb/kK33/AF0X/wBBFOtv+Qtbf7kn9KbN/wAhW+/31/8AQRS23/IWtv8Ack/pVEjfE8M/kWl5axGaSyuFnMQ6yKAQQPfBOKov4t0CdhIb6a3lxhlaB1YezAr1FdLcTRQQvLO6pEgLO7HAUeprn/8AhKtBkAZDcyKejpZSlT9Dt5prUT8isfE+h5/5DMn/AH6P/wATR/wk2h/9Bl/+/R/+Jqz/AMJNof8Acu//AABm/wDiaX/hJtD/ALl3/wCAM3/xNO3kLXuVf+En0L/oMv8A9+j/APE0h8T6F/0GX/79H/4mrX/CS6H/AHLv/wAAZv8A4ml/4STQ/wC5d/8AgDN/8TR8g17lT/hJ9D/6DL/9+j/8TS/8JNof/QZf/v0f/iatf8JLof8Acu//AABm/wDiaP8AhJdD/uXf/gDN/wDE0fINe5V/4SbQ/wDoMv8A9+j/APE0f8JPof8A0GX/AO/R/wDiatf8JLof9y7/APAGb/4mj/hJdD/uXf8A4Azf/E0fINe5V/4SfQ/+gy//AH6P/wATSf8ACTaF/wBBl/8Av0f/AImrf/CS6H/cu/8AwBm/+Jo/4SXQ/wC5d/8AgDN/8TR8g17lUeJ9EA/5DT/9+j/8TS/8JRoffWX/AO/R/wDias/8JLof9y7/APAGb/4mj/hJdD/uXf8A4Azf/E0fINe5V/4SfQz/AMxl/wDv0f8A4mj/AISbQv8AoMv/AN+j/wDE1a/4SXQ/7l3/AOAM3/xNH/CTaH/cu/8AwBm/+Jo+Qa9yp/wk2h/9Bl/+/R/+Jpf+En0P/oMv/wB+j/8AE1a/4SXQv7l3/wCAM3/xNH/CS6H/AHLv/wAAZv8A4mj5Br3Kv/CT6H/0GX/79H/4mk/4SfQv+g0//fo//E1a/wCEl0P+5d/+AM3/AMTS/wDCS6H/AHLv/wAAZv8A4mj5Br3Ko8UaF/0GX/79H/4mnp4t0CDMi3stxLjAVIXZz7KAKm/4SXQz/Bd/+AM3/wATSjxNoKfNJ9ojUdXks5VUfUleBR8g17k/hiG4FhcXN3F5Mt5cPP5R5KA/dB98AZ96x9O1G10GzfSNcEsHkyP5M3lsySoWLAgqOCM9PauxiljlhSSF1eNlDKynII9RWXqev6TY3P2a6mLTgbjFFE8rKOxIUHH40kx2Mn/hKdCHA1iT8Ym/+JpP+Eo0M/8AMZf/AL9H/wCJq3/wk2h/3Lv/AMAZv/iaP+El0P8AuXf/AIAzf/E07eQte5U/4SbQv+gy/wD36P8A8TS/8JLof/QZf/v0f/iatf8ACS6H/cu//AGb/wCJo/4SXQ/7l3/4Azf/ABNHyDXuVf8AhJtE/wCgy/8A36P/AMTR/wAJNof/AEGX/wC/R/8Aiatf8JLof9y7/wDAGb/4mk/4SXQ/7l3/AOAM3/xNHyDXuVv+En0L/oMv/wB+j/8AE0f8JPoX/QZf/v0f/ias/wDCS6H/AHLv/wAAZv8A4ml/4STRP7l3/wCAM3/xNHyDXuVf+En0P/oMv/35P/xNH/CTaH/0GZP+/R/+Jq1/wkmh/wDPO7/8AZv/AImj/hJdD/553f8A4Azf/E0adg17lX/hJ9D/AOgy/wD36P8A8TR/wk+h/wDQZf8A79H/AOJq1/wkmh/3Lv8A8AZv/iaT/hJND/uXf/gDN/8AE0fINe5W/wCEn0P/AKDL/wDfo/8AxNH/AAk2hf8AQZf/AL9H/wCJqz/wkmh/3Lv/AMAZv/iaP+El0P8AuXf/AIAzf/E0fINe5W/4SfQ/+gzJ/wB+j/8AE0f8JNof/QZf/v0f/ias/wDCS6F/cu//AABm/wDiaX/hJdD/ALl3/wCAM3/xNHyDXuVf+En0L/oMv/36P/xNJ/wk+hf9BmT/AL9H/wCJq1/wkuh/3Lv/AMAZv/iaP+El0L+5d/8AgDN/8TR8g17lb/hKNC/6DUn/AH6P/wATS/8ACS+H24l1Z5F7qY2AP5LVj/hJdD/uXf8A4Azf/E0DxLomeEu//AGb/wCJo+Qa9yCG9TxF4j0+bT0kNlp/mO07xlBI7LtCqDyQBnJ+lWdbd9L1y21ZoZZrUQNbz+Uu5owSGDY6kZHOPWtLStX07Ulk+wTBmj4kQoUdPqrAEVNqOoWWm2hnv50hhBxubuewAHJPsKV9R20OcbxN4fLlo9UePcclRE+M+uCvFA8UaGf+Yy//AH5P/wATVo+JtDP8F2f+3Gb/AOJpP+El0P8AuXf/AIAzf/E0/kLXuVv+Em0L/oMv/wB+j/8AE0f8JNoX/QZf/v0f/ias/wDCS6H/AHLv/wAAZv8A4mj/AISXQ/7l3/4Azf8AxNHyDXuVf+Em0P8A6DL/APfo/wDxNH/CT6H/ANBl/wDv0f8A4mrX/CS6H/cu/wDwBm/+Jpf+Ek0P+5d/+AM3/wATRp2DXuVf+En0P/oMv/36P/xNH/CT6H/0GX/79H/4mrP/AAkmh/3Lz/wBm/8AiaX/AISXQ/7l3/4Azf8AxNGnYNe5V/4SfQ/+gy//AH6P/wATR/wk2hf9Bl/+/R/+Jq1/wkmh/wDPO7/8AZv/AImj/hJND/uXf/gDN/8AE0adg17lX/hJtC/6DL/9+j/8TR/wk+h/9BmT/v0f/iatf8JLof8Azzu//AGb/wCJo/4STQ/+ed3/AOAM3/xNHyDXuVf+Em0L/oMv/wB+j/8AE0f8JNoX/QZk/wC/R/8Aiatf8JJof/PO7/8AAGb/AOJo/wCEk0P/AJ53f/gDN/8AE0fINe5V/wCEm0P/AKDMn/fo/wDxNH/CT6H/ANBmT/v0f/iatf8ACSaH/cu//AGb/wCJo/4SXQ/7l3/4Azf/ABNHyDXuVf8AhJ9D/wCgzJ/36P8A8TR/wk+h/wDQaf8A79H/AOJqz/wkuh/3Lv8A8AZv/iaP+El0P+5d/wDgDN/8TR8g17lb/hJ9D/6DUn/fo/8AxNH/AAk+hZ/5DL/9+j/8TVn/AISXQ/7l3/4Azf8AxNH/AAkmh/3Lv/wBm/8AiaPkGvcq3HiXTDp81vo7S317OpREWNuWIxlmIAAFaF3ock/ghtJRwJfsojDdtwHX6ZFFt4l0NriOISSQvIdqGe3kiUn0ywAzW9mk3YfqclF4o0yS3jXVGmsL6IASRtE2VbHOCAQVNKfFOh/9Bl/+/J/+Jq7P4n0Pz5E82SdkbaxgtpJVB7jcoIzUX/CTaH/cu/8AwBm/+Jp/IWvcq/8ACT6H/wBBl/8Av0f/AImj/hJtD/6DL/8Afo//ABNWv+El0P8AuXf/AIAzf/E0v/CS6H/cu/8AwBm/+Jo+Qa9yp/wk2h/9Bl/+/R/+Jpf+Em0P/oMv/wB+j/8AE1a/4SXQ/wC5d/8AgDN/8TR/wkmh/wBy7/8AAGb/AOJo+Qa9yr/wk2h/9Bl/+/R/+Jo/4SbQ/wDoMyf9+j/8TVr/AISXQ/7l5/4Azf8AxNH/AAkmh/3Lv/wBm/8AiaPkGvcq/wDCTaH/ANBl/wDv0f8A4mj/AISfQ/8AoMv/AN+j/wDE1a/4STQ/+ed3/wCAM3/xNJ/wkmh/3Lv/AMAZv/iaPkGvcrf8JNof/QZf/v0f/iaP+Em0P/oMv/36P/xNWv8AhJND/uXf/gDN/wDE0f8ACSaH/wA87v8A8AZv/iaPkGvcq/8ACT6H/wBBh/8Av0f/AImj/hJ9D/6DL/8Afo//ABNWv+El0P8AuXf/AIAzf/E0f8JJof8Acu//AABm/wDiaPkGvcq/8JPoffWX/wC/R/8AiaP+En0P/oNSf9+j/wDE1Z/4STQ/7l3/AOAM3/xNH/CS6H/cu/8AwBm/+Jo+Qa9yt/wk+h/9BqT/AL9H/wCJo/4SfQ/+g1J/36P/AMTVr/hJdD/uXf8A4Azf/E0n/CS6H/cu/wDwBm/+Jo07Br3K3/CTaH/0GX/79H/4mj/hJtD/AOgzJ/36P/xNWf8AhJdD/uXf/gDN/wDE0v8Awkuh/wBy7/8AAGb/AOJo+Qa9yunifw+jq8mptKVOVDRPwfoF61Z0CaTVNZvtWEMkVrLGkMAlXazquSWI7ZJ4HtSf8JPoY523Y/7cZv8A4mtnT7201C0S4sJklgboyevcH0PsaHtsC8yte/8AIVh/64N/6EKguPuRf9d4/wD0IVPe/wDIVh/64N/6EKgufuRf9do//QhUFHR0UUUijm5v+Qtff9dF/wDQRT7X/kL2/wDuSf0pk3/IVvv+ui/+ginWv/IXt/8ArnJ/SqJIfFKC4fSLWQBoJ79BKh6OArMAfbIH5Vslj61keIv+P/Q/+v8AH/oD1rVXQnqLuPqfzo3H1P50lGKADc394/nRuOep/OigdaQzOk1wC6kghiaRoyVPz4yR14wafZ6wt3cm3KskgUtjdkcda5SbUFs/EOoxyypAXZlzIhKkEg8455HerPhyWO68VTtaBvs4jcrnsDjFXZEXdzqNP1KDVbVbmxm86FmKhhkZIOD19xVvEn+1Xl1tfX3/AAr++0XTrTU49VRpXP8AozorR+blgr45JQnpz6Vny6Ze3SWUKSajJp+y+eNI0nhEf7tSiEsdxG4HGevIrO5pY9gIkH96kJcdS1eTf2dqPm/YyNUa1nuNMkkJkkJJZW847uo7Z9OKhsbbVdPsXkjt9WmaXS7lZYjLICds22MAn7pCenJH1ouFj1qa7it5YY5phG87FIlZsF2xnA9Tjmo9O1KHVbNbqykeSBiyhipU5BIPB56g15XpOnSytpkmoW9/Ja2mtssR2TDZE0eVIDfNt3Y5P9aSO3eW08O2+qW2rpKLiaS4uY45mKRiZtqYHGW45PRaLhY9bnmFtbvPPJ5cMalnkY4VQOpJqC31O3u7tra3mMkixJP8oJUo33SG6HNeWXEGoX2q65G1pqCLcWt4jwMZm3MuDGSx+U5xwF7cc1L5OoroskdjFqC2o07T1lRRIH2Bj5wXvnrnHOKLhY9ZxJ/tUm5vU/nXk0+l319bxxhNVFgltfyWYLyq4RWUwhu5PHAPJr03SmlfR7Jrjd5zW6F9w53bRnPvTTBoubm/vH86Nzep/OkopiDc394/nRuPc5HvRRQBjeFEFvDqVsnENvfyrEnZFOG2j2yTSeEFH9gLcn/XXU0ssz93bewyfwAFSeGx+81n/sISfyWmeEf+RYtPrJ/6MajuT2Nrc3qfzo3H1P50lFAxdx9T+dG5vU/nSUUANlm8mF5XY7EUscegrMXxDvQskJKqMkmTp9eKt6nk6TdhAS3ktgD6VxtnrdkNHFvOwDAuWUA7pCR8uCOmD1zTSE2dafEFnFpE+pXUpgtrc4lZssF6enXqKrxeMNDn0ufUU1SL7LbsFlY7gUY9AVIzk9uOa5m8We7+GWrrbxvJI8qhAqliSCnQDrTNc8OX2nJDrdzK+qXP9o21zeJb2+0eVGpUbUGckZyamWjKjqtTqZPGGiR6SmpnU0NpJJ5SsFYsXHVduN2R6YqS48T6XbaKmrveqdPkxtnQMwOeOgGa4OW1aaO81iS21WzhuNYa5s7u3gJlth5YXzGiIyVYjHSuu8LfbLjwRE+oWSWdy8MmYUj8vPXDbP4S3XHvSuNo0NG8Raf4hikk0q6NwkZAYhGXGenUDNaY3kZG7HrXkWuQ30fgvw/bxWd8s8Wnu8bxrKdkoIwu1MYbHILcAZ4qxLJeDxZFJcfbl1WbUEFs5LiIw/Z+F/u53duuaLhY9O1C9i0uye7vHdII8bmCljycDgc9TU53gZJbFeHRteNYXFva/wBqfbTpIe7jkMm5p/tK7mUH27jtW2bLWY9auLuyW/F5Lf38KEs+zy/KzHwflA3dD60XCx6tlx1JFJub1P51518Nig1y7ijN6NumWxlS7L7hMWbeQG9T6cV6JTQmhdzep/Ojc3940lFMQu5v7xo3N/eP50lFAGJqaiHxZoU8fEkxmgkb++mzcAfXBGafdIJ/G1okoDJb2ck0YPRXLqu764yPxpNX/wCRj8O/9fE3/oo0+X/keE/7Bzf+jBTFY19zep/Ojc3qfzpKKQxdzf3j+dG5vU/nSUUAODMe5/Osw64HmkjgheXYSCd3PHHTBrRXqK8/j1FLDXLl53ZfLkdtnI3sD8oPtnmmlcTdjtrLVFvJZIyrRvGu4gtnjvUNp4k0y/js3tb5ZFvXeO3IB+dk+8OnGMd6wfCl613qV5IxLEwMWb3JrktC0vVNIutAaGxuZLSZLi6ZFUh4pwjKVyfu7gFIz3pS0Y46o9dO8HBLUhLjrurxnT4NSntHgSHU44Zruxd0/fhhlmEvzNznH3iMCp7Sw120tJ/7NGpi5ksLyMb3kb7kwEYGeh2Zx3NTcqx67JI0aMzbsKpY/QVmTeJtMttCi1i5uzFYS7dkrK3O7pwOa86NnOum2Ik/tSXQ2vJDNDDDcI0TeSNg+Ylyu/n0zmtXWbO5/wCFQ6LHHDcieJ7ZmWOEtJHhuTtxnIouFju9J1W11yxF5pk7T25Yrv2svI68EA0241qxti4kugWjmS3dUBcpI/3VIHTOa828Qpe6usctvNrN0ItMuGWWSF4HaZXBTKqAM+gxzinLZXcGs6lILe+W4uNR0+UuBJh4iBvOenXOfSi4WPTre7iu0drWdJlRzGzI24K44Kn3FS7mHc147c2F/o3hu6m0xbi2vINYuLYo5cbo5gUQjP3sHBBr1rT7IabplpZhi/2eFYyzHJYgYJzTTE1Ysbm/vH86Tc394/nRRTELub+8fzpNx9T+dFFAFXVYI7zSbu3uFDxPC4Ktz2OKxr28nPwwN15jCdrFQXB5yQAT9ea3bz/jxuP+uT/+gmubvhj4T4/6ck/pQB01rBHZWkVvbKI4YkCoq8AACpdzf3j+dJ2H0FFAC7j6n86Nzep/OkooAXe3qfzpsk3lRPI7EKilm+g5pagvlZtOugoJYwvgDvwaAKMfiESoXjgYoBknf0HvgcU9vEVnDpkt/dzfZ7eFwjscsASQB09ciuY0jVbS100xzysJCXJHPdMDbjjPrmrGl2A1vwbrFg/S5Vo1b/a28EfQ4qmiU9TqI9VtpdUm02ObdeQRrLJGAflVuhJ6c1bBc5A3cV5ELXW73wq2q3FtcRy3eoQxXsYSQP8AZokCchcOV3ZJxzVmG1uop9KXVH126iS1X+z5LSOSNhL5x+8G6EJjl/4RWdzSx6fbXMV4shtplmEbmN9jZ2uOqn3FJfXkenWM15dO6QQqWdgpYgfQcmvJ205rGW4t7i11RdNXVrlr1YPNywKf6OwI5K5zyO+M1NLp+szabqdxfLqLX8OhweVtZ+ZW3BuBwX24z3FFwseqpKZIkkQsUdQyn1B5FR3N3HZqjXUywrI6xoXbG5j0Ue5rzjYH8aTTiy1YTW2nkIEEwW7uPK5+Y/KoAGBjqxzWFBYXd1pFy1zb6i9tHe2Nx5eyf92DkS7dx3MR0JHfkYouFj2K0vo77zfs7O3kytC+VIww6jn+dWMtjOWx615XrEN4Qwu4tUfSvt16dtv5m/ftHkE4+bbnOO2aaljrQ1SK7vRqP223m0wZDPt+ZCJsgfKeg3HtRcLHo2p+INO0WSBNRvUga4OIw2TnkDJx0GSOTxzWjlh3P515v8Thdrr1jJbWE1xDDbkhY4ncXRMgzC23oMANz1rudFup73Q7G5u8faZYFaXahQByORtPI5poTRe3N6n86TJ9T+dFFMBdzep/OsbTUW38ZapHENqT28MzqOAX+YFvqQBn6VsVk2n/ACOt7/15Rf8AoTUCLV7/AMhWH/rg3/oQqC4+7F/13j/9CFT3v/IWh/64N/6EKr3P3Iv+u8f/AKEKgo6SiiikUc3P/wAhW+/66L/6CKda/wDIXt/9yT+lNn/5Ct9/vr/6CKW1/wCQvbf7kn9KZIzxF/x/6H/1/j/0B61qyfEX/H/of/X+P/QHqr4x1TUdIsrWfT2iRHm8uaR495XI+XAzgZPGapu0bkt2uzcuJ1tbeSeXOyJC7Y64AzXIy3k9iyavJcE3uwTXMOTtMBP3AP8AZGcHrke9ZsXjW8JktdUaG5tZFKTeXH5csaEYLL2bHXFS3UFw97LaXKlQlin2i6z+6+zgtmRT3JHbrn6VzVJynZwJUlJXiegHBGVOQeQfUU3Fcu2tajIyGOSO3VlylusYd0XjmRjwDg9MVreH726v7Oea7aNlE7JC6Ljei8ZPb72eR6VrGrGT5UXcvyW0MrbpIYnbplkBNLHFHDnyo0TPXYoGfyrnbrxJdWmvXllKkS26XMEdvJjJcFVaVSPUBsg/4VPF4qE8kUa2EwkmVZUG9f8AVMrMrk/RTx1zWlwsdAXJ7n86aWPXJrBtvFInceZp80UZUEO0qHrH5ij8VH4GqX/CVtdXcDQbooSDHImAx3+dGnBOOMPRcdjq8n/Jo3H1rn5/FqwRlpNPmH72SMBXDbgmN5XHXBOMdyDU+r+JrTRrwW1yjligkBUjGzDEsfQArj6kUXEbW5s5yfzo3t/eP51zkvi5Yo2c6fcFclI8OuZJFZVZfbBccnrg02TxRKlzNJ9jf7NDFJwGBLukgRjwOADnnnjmi4HSlieCSfxpMn1rJvNca0g065+zg2twkkkzeYC0arGX4xw3T1qK58RTR6JfXcVjturN40e3lkGPn2kHcP8AZcfjRcLG5uPqfzpM5rmW8UvYtcR31s5YSusDBxhwJRGAfTBI5+tSWPif7dqEVvDbTN57KArYTyh5e5ie5ouFjoqKwB4ie1vr2G5gZ0WeVIHDqASiKxQ56cE8miLxhay+Qfs0ypJHI7OSAF2FgwGcbiNp6c4IOKLgb9FZ+i6uus2skywPCY2ClXOc5AIIPfg/gc1oGmIyfDR+fWf+whJ/Jab4S/5Fi0+sn/oxqXw3nfrP/X/J/Jab4RP/ABTFp9ZP/RjU+4jYNQ3d7b2MBmu544Ygcb3bAz6VU1bXbfSwsQU3F44zHbIcEj+8x/hX3P4ZritQ1EPfLPqUwuL0fcgjHywA/wB0Hp/vHk8fSsalVR23NoU3L0O0/wCEk0cWr3A1K2eNOuyQMxPoFHJPtQL3V2QzJpEYi6iJrkCcj6Y2g+2fxrg57G78QRwTabFbCzD7jLcqMS4I6DBJXgjtWl4d8Vy2sNvZREX5LFI40heMqWy0eGYkbOCOeQBShV5txyp8ux3NpcxXtpFc25JilXcuRg/QjsaabO2JybaHJ6/uxVa2jbR9BPmFZZYInlkI4DPyzY9BkmnS6zaW1tZTXZeMXSowKoWCbsdSOgywHNa3MrFxAI1CoAgHQKMAUueeDzWDY+K7W4tC90skNwGI8lY2PmfvCg2f3uRVi21+3nhvrkuos7YIyyjPzKy56eueMUXA19zZzk5+tBJJ9/WsaPxTp0j7FF15gDlk+ztuTYcNuGOOSB+NI3ivTAI8NcOXwNqQMxUligBx0JYYx60AbO4+p/Os3/hHtL/tb+0zZRm93bvNJP3sY3YzjOOM4zUZ8T6apjANy7SBSoS3YnLA4X/eO08e1E/ibT4bcyp582bczxhIj+8G3dgH1xzQGpLpnh/TNImlm0+zjgklG1mUknGc4GTwM9hWiQGRkYZVhgg9xWV/wkdkrFZRIr79oRY2ZlG1GLMMcAb1BPvUUniS3a7htrYM0jXMcLiRGTCsWG9c9RlSKA1LmmaJpujeb/ZtokBlILkEktjoMkk4HpV6smfxJYWs08T/AGgvA/luEhZskLuOMdcLyfSmp4msVeQXEm1fOKRNGCwZML859BlwM0AbFFUoNZsrmG7mhdzFaBmkcxlVIXOSpPB5Uj8Ky4PFZa6mtLiz2TpHBIuH+V/M2llB9VDD69aLhY6Gis1fEOmyziKOZ9zOETMZG/O7DD1U7G59qZZ+JdOv7qK3tpJWaVcoxiYIfl343dM7TnFAWI9X/wCRj8O/9fE3/oo06Y/8Vwn/AGD2/wDRi0zV2/4qPw7/ANfE3/oo1K658cJ/2D2/9GLVCZq0VQuYozdkPHGc4yxuSp/75phiiiDptRd3DA3ByP14rCpWUHZpjNIDNV72/s9NiWS+uYrdHbapkbGTWXPJHZFC1s0k8pxawx3BYzH+ijqSeBWdq2gw6lZytqU3mX5+YXK/dhOPuIv9z19eprOvi6dG3N1Cx1wGcEEEEZBHOa4i78WPF4iuLe40a1ks4tQTTzcCQGUu4BB2Ecjn1q/8Pkv4NBdb51NuJSLMA5xGOpB/uk5IHpVVvAr/APCUS69G9sLz+01uUZgTmDZtaM+/cGui7auh2RpQeLfDqG8WG8hjS0UvKwjKqQDtJU4w2Dxxnmlbx3oEVgl41+wikkaPb5T+YGUZbcmMjaDkk9BXNx/DCddOvbF7i1wUYWtzukZ+ZRIAyE7VHGDjr1q7qHhfXr5kvWudLXUCLiJ0WEiIRyqF6jlmGOp60XYWRv3XjHRLe+hs5dQDTTCPZsRnU+Z9wFgMDPbNUbrx1pRsr46deRvdWsLS7bhJEjO1tp5xzg9cZ7Vx154fu9E1ay0XT/Mu4557GaVjA42iEYLB/u4wM4PNa9z4Avp9MFqLu3z9lu4N3OMzTCQH8AMGjUZpt48Etzd21vEqXFrcQQs028RyCTHKkDrzwD161oHxroguL2L7d81krvMfLbGEOH2nGGweuOlZM3g2/kv7yRbm28i5ubO5Gd25TCAGX0wccGq03gLUZLa4tGvbQ20cN2loQjByZ2z+8+nt1o1DQ6nRvEWm6/HPJp9yzrbsFl3IyFeMg4POCOQa56Hx6UvtDS7tVjttaebyZN5BiQNtjJHfdxn6itTRtBmsL7VZZ5YzHexwxqFzldkew5rn9P8ACc+r6dpkOoBYRptpcadMhBDFiRskQ9xwrZo1FoV5vF03iGbRs6RpjTGOS8i+23jRxxskpjGPU8A81oL48vY9Za3u9Otls11FdNaRLgmUSsBhthHK5NVNP8A6npx0twdIvns7SS3dLyNmQlpS+8cdeQPzq4ngOaHxAddEln9u/tL7UWKkgwFcMn1ByQaNR6HR6Dqr6tYyPMiJc288ltcIhyodDg49iMH8a0qwfCNpLBY313MjxnUb+a8SNxhlRjhcjscDP41vUyQooopiIbz/AI8bj/rk/wD6Ca5y+/5JN/25J/MV0d5/x43H/XF//QTXN3v/ACSb/tzT+YoA6rsKzdZ1210OKF7sOfOcqm3A5AyckkCrGo6jDpdg91cZ2KAAq9XY8BR7k1xl1HrfjCzklKLHpynfHGDhZGU5GCBuc5HXgZ6A0AdZo2t2uuW8s1oHCxv5bbsdcA9iR3rRrhoY9c8HWcBCxTafjJiLZC55IJI3KcnryPXFdC3ivS0s7S5d5gLoMUQR5ZSmAwb0IJxQM2KVTgiqmnanbara/aLNmaPeUO5dpDDqCKs4zQI4qz8Wy6jLfyxaJZiyi88CbeC8Tx5/164yobHBGa0IvHGg2kUEF5cpBclI2eOCF2RWddwAIHQ9vWs1/BGrXWqSXV1e2W8QXEP2iKMpLdCRSFEwHy4XI568U6PwHeRXazfa7fAudPmwAelupDD8c8VN2VZFvVPG6RWb3ukva3MP9nyXke8usjMjbcbccAd+c5rSXxfpYu/sU10VuxFvkURtsDbN5UNjBYDnGc4rnG8AX7WUsP2y3y9ndW4OG+9LLvB+gHBp914G1W518Xj31tJAjExh2fcimIpsC/dwDznqaNR6Fu7+IVokQvLBlubFbSWfGHWVymOFBGNvPJ7VpWfjPSLqGNvtEkcrGFTE8TBg0oygxjnPPPtWQ3gm6bTbC1+1Qg2+jS6czAE5dwAGHtxVSPw+9x4+0Np1ZpNNsFa8aNGELSICsWCep+YnFF2LQ9A3EcZPHvRvb+8fzptFUIMnOc0ZPrRRQIUEjpx9KSiigYUUUUAFZNr/AMjre/8AXlF/6E1a1ZNr/wAjpe/9eUX/AKE1Aupavf8AkLQ/9cG/9CFQXP3If+u8f/oQqa9/5C0P/XBv/QhUNz92L/rvH/6EKks6OiiipGc1cf8AIWvv99f/AEEU60/5C1t/1zk/pTbj/kLX3/XRf/QRTrT/AJC1v/uSf0pkjPEX/IQ0P/r/AB/6A9aN5aQahZy2t3EJYJV2uh7j/H3rO8Rf8hDQv+v8f+gPVzUNStNLg869l8tM4GFLFj6AAEk1fQnqcxcfDazuEaJ9QuTAc4BRTIv0f+uKrbbm98Q3PhyXcv8AoC2slyveAFm3D/bKsq/XJrUuPHVrbEGXStZiiJAWaa18qM+nJOf0rFj1C5i199dMMr3D+Ys1osbfJAoUemcglTnGDn8axbjCyXUqNPsdBa+FDbW32RdRkFrwGEcSpI/rufuT3OAfet6GGO3hjhhRY4o1CoijAUDoK5uDx5YzosqafqjwNkmeG3Msa/Urz+QNb1nf22oWy3FpKJYW6MM/lg9KuMYr4RWsZk82hT6pewXawrJaSw3U80siqqy7cJ1Oc7cDpjtUkdpoOnOdstrE6H+O4GUypAXk8DaTgeh4qvfaHPPfzXkBtXc3CTLHKDtIEJjIbHfnI+lU4vCDxWLW7S28hLEh2Tn/AI9vJH68/SmO5pT22ix6XNc7IpraFcOY5Nw+VPL28HrtO3HvUFlZaEwwYzFN57RBbib948ilWOMnk5VfypJPD0sWharbRGNnuBE8aoMcoiAj6kofzqC48Ky3uppesyNE8rymNnaNkDOrjOOpGOR64oAtw2Hh54oba1uogImZo1ivTuUY+YDDZ246jpVi4i0TWpCZpbK6YQlTiZTiMMGPQ9AVBz7Vkr4OkS3VFe1WQJCpdUx9yORD+e8flUr+FZhCBbvaJIFIyY+DmAR88eozQBcTT9GvNVbbGsj3MZuEkWTdG+HXcVwcA7lQnHXikgtvD147T280LPdu6KVuCpZg2X2DPB3DPFR6JpNxpt/axygOsAuZXkBJGZXBCAnkkAEn8KqN4VuzOcSWwjd8FhndGgnMoK8feOdp+lAGvcwaSsVvZTtbotsC0cRl2lVIKnIzkggkHPXNMSy0iG0k03zIyLliGjefMkjKBkZJySAAPbAqlqnhu41PXxdSSQi0IIKZIbBjZOmME5bOSfaobfwncwLArT28rMsRuJWB3iRJGcsn+8Wx7Y70wLcq6HcTWNvJHuuLwHy0Ev7xM/vd5wcj5kByO9TJ/Ytt4gjt0ZTfrHvLmXcVwFjAYk53EMAM9ao6V4YutOvrN2ktWihZJHYA+ZkQeVtHGNvQ0ybwxePftOj2mI5DLETu3SEzJLh+OMbCM89qQF26s9BNxdSTSxSXEkbyvEtxliMfMyrng4Ucj0qK2tdBlitZWXyl34ijuLjiV3G7JUt8zfvD155NZcHhq/kvbq3kS2jUCJzcbT8zbZMqh7jLAH8auWfha7s7lJlexmyCjrMpIVSIvmA7tmM/mKANS1vNJ0tI7WC8TEk/kKrT+YRJjhOSccDp7Vft7u3ulLW88UyqxVjG4YAjqDjvXN2vhS8imZ5prZyZUbIz0G8EgYwpw4wBxxV/wzoLaFZyRSsrSMEUuJGfcEXaDz936CmDJvDhHmaz/wBhCT+S1l2U93afDpbjT1zOm85C7iq+a25gO5Ayce1afhv7+s/9f8n8lpnhBj/wjFpj1k/9GNTfUldDgdS1WPSkK25d57n52uHJcvngPn+I+3bjtTbfRWu75ElMi3Nz+7BZ97KgA3uW7jrgH1A7V0Gu6bFol15zRf8AEucmSNghYWz914HAPUH6j0o0oCx0241u8RlaWPcqcbkhH3Rz3P3j9R6VwSvB2O2LUlcn1LU4dI+z6fp/kgxJgxlWby1C/KCBzz6849OaW6t1t9JhltLVLe5lnhljhVQC0xYHBx36gn0zWToNvJquqjUbiQXAjbJfCriQdBgc9OzZ6DBNdXpCjUdTfUHH7i1LQ22ejv0eT/2Uf8C9aUIXmkum4pytG7NbUFh+wXIuZBFAY2Ejk4CqRgmsKXw7Ffi2tJ9Vlne0RSq+XHkJlSpwBwfk+91xmuimiS5gkglGY5UKMPYjBrhZND1n+zYWkSRJmmMU3k/O3lxpshbhlz0Lderciu9nLY2G8KWPmRWtxfyvO25rRHRDtCvvbAxhhluc9sVaj0Wyl0S+gtpfNScCNvuxhXjG3HAwvI9K5670DUMeabe9uLp3ugJVmIZWIAhb72FGecDj2rTlsJNR0TxDEEM4nn+RVbHmOiIHx06sp+tIB9l4Tme2u5dTuJEu7zzVcxEfKHdW64AJ+XntgmrNp4TtrQALNKSJUk4RVGVlMgAAGAMnH0qHSra9i8QmZ4rlIz5vnPLISjodvlKoycFRnPAxz1zWTHpWq3k1tBd296sERjjmJnKiTBlJIIbJHKfXj0oA6BNEs7Oe23XMiuZ1kiVsfO6B+Pyc/lVZPBttFJGwurllihMKhlUkAx7OuM4xzjpmsQaPrbiF5Ibs6ikGI7hpsog8jbjGfvb88475zUlroeoeQzSNqJCWswiAby2jdiuAqlznjdgk9z04oA3k8PBL0TQ6hcRXRyZGQLudSEUjGOM+WOR6mo7Xwbb2l8Lr7RO7rIkg3Ko+6zMNxAy3Lnk9gKxY9Kvo4TMbC4M7WZgyJXyFE+eRvyPlOQuc44zTtP0jWwsE8v2pbqLyUjZ5jhV/eB8ruI6FOuT09KANufQ4bi5ulgvZYrnz2lkKAEp5kYQrgjuoBHvUf/CHWIljkRnQxcAPGkgCfL8vzA4+4OevWqelaZew6DqyJbXUFzPDGB5suZJJAmHIbccZOccjr2qGbTrzzIvsNpqUaLg2gln4gbzQWLjd90r0BzxxQBv2+hwW41AS3MjjUVMbK4VRzkdABlvmxnqcCqg8KpcW8b3zOLoSQTMYjwGiULx/ssByPesWDQLyNrdpre6kCywTnfOzYkDybm5bsCvHpUFtpWvLpwV/tzXXmo0oD+WCoB83Db23FwcA8DIBGKBm6vhaA7Xhvpg8BVYHCofJVS+ExjB++w556UsXhcWNnGmnXUizw8wvIAQG8sR5IHtz9am0G0GmveW4s7iNZruaYSE5TaSCvJJPIOPqDW1TRJiasn/FQ+Hf+vib/wBFGpZHA8cIP+oe3/oxaZq5/wCKi8O/9fE3/oo0sy58cJ/2D2/9GLVCZNeSqLpstGCMdbUufzqlqmsW+kaZNf3YinG5Y1U2+zLt3JPbqSewFXLsP9obaLnGP+Wdwqj8jXHePdTuL6TT9LsLae5CSkO0fzlpgv8Aq+PQEkk8VlzxeiZSOqtIFhjN1JMk91Mg8y4UYXb1CoOyDt69TVFbaTxBdvH8w02AkTEf8t2/55j2/vfl61jeHNA8TWsQ0+88m101zuD+eHlgHdVA9e393rXYIoihjgt7SeCGFdiLHcKox/jXnUsC3WdSq79g3LFqsqxkSkHHCgR7AB6YqnceIbK1ind5MPFMYPLJAZ2BUHaD1HzCr1pkI+5ZQc/8tJA/5YrCu/DM893cSQXNqDcSM0gkQkorMjDbjv8AJj8c9q9QVjXfV9Pj8zffWwEb+W+ZB8ren14P5VBN4j06KC7m84uloXE2zHBVQxA9cgjGKybfwY8BwZYDtDqrkMzMpVwN2TgEF+3vTk8K3C20sH2mHa6sAQpzloUjOfbKZ/GjUeh0EF7b3FujxzRjchcr5gO0D72ceh4NRpqdi4Hl3luwKGQESAgqOp+nB/Ksyw0qQaprdw6tHHcjyYN4HAK/OQB2LHPvzTH8KOZ2eGaAAwKisQ2YpFjMeVAO0jB7+po1DQ1IdWtri8+zwuJB5BuPNUgptDbT+OakOpWQTe15bhcZ3GQYxgH+RB/EVkaX4T+y3TTXcqyKwc7IndcM0m/rnJHUc9aoW/gd7VmdbxHcKrRq8fy+YsgYE98bFRCPRaA0OhudZsrcQgTxyvM8aokbAsQ7bQ2PTJ60ttq1rdz3aQyoyWu3fKHBTkZ6+2KyY/C8jQzCW4iEk8kUjtGhG3bIzsF9vmwPpU1v4bnOj39lcz24NzAkCNBGQAEXAJB6k9xQGhej1ywlvYrdbmI+dH5kUgcbX+bbtHvmpItXspUVvtEUbGPzSjyLlV9Tg4xWK3hm6WWSVprX/SJPNuFSMnad6viP/vgDn1zVGw8I3EllE83lRSvbr8sm4tDIF24wDtIx179RRqGh0o1vTnmeMXsJKxCZm3fLsJwDn6jpV1HWSNXjZXRhlWU5DD1BrnZ/D17dNJIz6fvljAdERkVXEhcFSDkHn73XIzit2zgaz0+CCWQO8UYVnChQSO+O1AiaigEEZByD0I70maYiK8/48bn/AK4v/wCgmubvf+ST/wDbmn8xXRXDLLp9w0bK6mJ+VOR0Nc/ejHwn/wC3NP5igCHx4u9NOidisRZ2JzjsFz+AYmtDxJrz+H9CgW2hht7yRCsUTnckSqOTx17Ae5FT+J9G/tvSxHGFNxCfMi3HAY4wVJ7AgkZ7cVytnr9nbXjPrtlNJqttCIYpJV3bQvTKdQcnllBz14oGi1psktl4fvdf15Li9uLtfs8FvNhZGjY42gHgbjz06CsO10PVdQ0bJBe0hk+0I+APmCgfISpZs45wACfWtDXNag8S6rp9tD55iRAZE2bSXdgpwDj+EEAnH3q6TxJ4hbQNNt/sdsouplJSKbAEEajksAcccADPJqUrFN8zMWxu9X8HR29pfWiPpxO2Mptz+DADLezAE+ua7a2nivLaK4tnEkMqhkcdCDXI6Vp1xeeGL/VNaFzd3WoR7Y1xhoox91gpIC8/N64A61Y+H928+hzIwwsc+VHpuRXI/NjTTuKSs7Gvb6/ZXDyZaSKFVZluJV2xSKrbSQ3145xntU51WwDqn2623Mm9R5o5XGc/TAJ/CsYaDqYs0s/tdq1tayCS3Qof3jCTePM9MDK8euaLLwmYSn2iS3ceakkihDj/AJablHt+8wPYUBobhv7RZEja6hDudqrvGWPHA/MfmKittZ0+8vjaW15DLMI/OIRsjbnBORx1BrFh8HSQGyZriK5aNds5k3Jv+cMGG3qQABg+grQ0bQpNJurSQyQusViLWQBSCWDFtw9jk5zRcLFq21jTbu3hmhvYCkwYx5cKWAODwfpTxqtkb6KxW6je5lVmRFbOQACf0YVhxeFriC6tpjJayiFdu1y4HyuzI2B1PzYIPHFSaP4dudIlsAJ4JYrUTKx2kOwk2tx24YEf7uPSjUNDUg1zTboZhvYDmZoBlwMyKcFRnqf8RU0moWkNx5Et1BHNt3eW8gDYxnOPTAP5Vz0nhS7kuJystoI55JNxKEsqNKJAR/tZyPToau6n4bk1HULq486JFnEYHy5ZQqSKef8AtoPyNFwsac2p2MDATXttGT0DyqM8A/yIP4ioU1uxe+jtkuIi0sfmRuHBWT5tuF9TkVhnwneTxXBu57PzZojF8iMVXiNR156R/rU58MXBvpmWa1+zTzmVsod8a+aJAE7Z4x+tAaGyNWsDjF9bHL+UMSry/wDd+vtRNq9hBYPeveQm2RgjSKwIDEgY478isXS/CUlibfzZLaTyAyAkM29fLKKSDwDz0H51NbeH7qHw5cadJNbGR5A8W1SUQKVIUk/MR8vfkA47UXFobUd3bzTSRRTxSSRf6xEcEp9R2qXNY2laJNY6i88skBjUSiLy1IZvMkMh359CcCtmmDCsm1/5HW8/68ov/QmrWrJtf+R1vP8Aryi/9CajoItX3/IWh/64N/6EKguPuxf9d4//AEIVPe/8heH/AK4N/wChCoLn7kP/AF3j/wDQhUlnR0UUVIzmbj/kLX3++v8A6CKfaf8AIXt/9yT+lMuP+Qtff76/+ginWf8AyF7b/ck/pTEN8R/8hDQv+v8AH/oD1qsoZSNzLkEblOCM+h9ayvEX/IQ0P/r/AB/6A9a1X0I6nOXGkR6ct1fiGWa5E6LaRy3EkiBuFWRxnBOSWPpiskWt9o/jC3srW7aS4lEk6TzjcJQ65dWxyBvj4x03Cu5qmdLgbWhqbbmuFt/s6An5UUtuJA9Tx+VS43KuZkWgs99FdDz7VJQzXFvHdOFik6hkwcdc57HOa3wMDnk+p6miimK5x+pXt5p2q6qbeWSBZJiyMId/myLBHsj5B4Jz+XWq/wDbOoz6pHbzyGSbzQ0tmYOIMXCquDjJG05zk9c13QYjoTVWGwtre9mu4ogtxMMSSbiSR6cngfSiw7mX4b1Q3Nugur15riXbmN4CnlSbcugOBkD9PU1ud6UsT1JpKBBRRRTAKKKKACiiigAooooAKKKKACjvRRQBk+G/v6z/ANf8n8lqPwgP+KXtPrJ/6MapPDn39Z/6/wCT+QpnhH/kV7T6yf8AoxqYjZ6qVIyGGCD0I9K52+8MYtTBapHd2ecixumPy/8AXOTqPYHP1FdFRiolFS3KjJrY42Lyltk0bSoLi1u3PllJUbdbofvOWOQQBnHJycAV1ttaxWdrFb26bYokCIvoBU2TjGeKACegJqYU1C9hym5biUUUVoSFIFCjCgAegpwGen0oxigBKKDwMngetGeOtABR3opcUAJRR0pCQBkkAepoAWilwfSjGBk9KAEooooAKKKKAMXVz/xUfh3/AK7zf+ijUsn/ACPC/wDYPb/0YtRax/yMfh3/AK7zf+ijUkv/ACPCf9g9v/Ri0xEt7JGLpw0lmDxxJu3fjiq1tFBHdyT2UWkpcuCXkRCHYdTk1tdTyBR+ArJU4xd0hmPM9lLKz77JsnOWGTTFWykOxRYtI3CjaeT+FbfHoPyowPQflWKw1pc3M/vArWEBtUYNHAmTnEIIH45rl74XKakdQsoJ7i7s7+eSSOPq48tVVPptOR7iuxxSKiJIzqoDvjcwHLY6ZrpsCOO02PV9Kggs0a6yrMyApuWaRpm8zeccAKcjp+NOlm16KKNRcXHO1jNLEfvGPO0hVPy7u34Zrsdx9TS7iO5pWHc53QNQuZNQvLW+nZ3jkeGAEZ3iM/PJkcc71H4GsKyF3YacW02G8tv3KRTkRsgMpkYluVJPy9WAPUCu5ht4YF2wxJGMk4Vcck5P5mpc07Bc4QXevp5kqS3MUlw6PK0iMVjP2dcAAKcAvuBAHbHFbuo3kdyui3sfmSQRXp81o42OMJIhOAM43cVu5OepoUBAAoAA7DiiwXOVnu9WN1cGOa9EZkImAg4hi8xQrR8ckoWJ6+vaqGrT63O0ttbS6g8LWbjf5ZRmOzcrAAcEnjrnqMCu6yfU0ZPqaLBc5AXGqrfSLCbpYjPutwIeJyXUMZDjps5zxzn0rR8N3l2tx9n1Sad5Jkjki82PHO0lwCB0HHX1reyfWkIBOSBkd6LBc4zT9Hv7SCC5gdrR57kQyi3QiRozMxZ3J4zjjOOAaja81mW2dLiW/wDJcEXLrB88UmJPkQAcoSE5569ea7jNGT6miwXONjvdUhtYrRftkSxRgOVhJMce2IAqcckAv6nr6UXDajb/AGma3u9TkZ/JZcxEM6AP935SFYkL1698bq7LJ9aASOhxRYLmFYTBI9Yi2sEeWQxjaeG8pTIDjgfMTx9ap33/ACSf/tzX+YrobhEh064WNFRfLkOFGOSCSfzrnb7/AJJP/wBuafzFCEdRjp9KhurG1vk2XdtBcL6Sxhv51P6fSimI5vxJ4Zjn06OTSrZIp7bOI4FCF14PH+0CAw9xjvWVp+taZcXU+p6vFLcap8ojR1JhTaAMKMfIc5JDDOScV3XSqN5pOn6hL5l3ZwSyDjeU+b8xzSGc34g8VjU4TpejRTzS3WY2fYVJU9QoPPPQseAK3/D+k/2PpMVtIVaYkyTMvQueoHsOAPpViz06008MtlbQwbvveWgBP1NWaAONs77XPNEj3U0wKxuIWgUKS7SqVzjOAEXv396rS+ItWh0qKdbppJWfK4jzyFXKN8nqTgAdO/Fd7uPqaXe394/nSHc4s+IdQt725M11I9vDdhZG+z4SOM+ZgdMg5CA9exBw1V/7b13+z1uHunjEk4iLPEEWIeSrA/dJ+Zzg8dscV3eW9Tx70mWz1OfrRYLnO6zPqn2u3W2u5IAIYWkEUQZWZpQjdRxgEmsuDWda8+NZpmXZDuCmH5rgDzNxC45b5VxyB+ddsCR3NO3t6mnYLnC2uvaxcRF4rqYxwO5DCEN5oBhwCdo/vuOAOntUtvqWsRgm3LhY8BLYQAI5YzdeM9VTp/Wu13sTyT+dNYbgQ3IIwQe4pWC5yNjrN9caHq0sV9JdSW7RBJjCA0eUQv8AKAM7ct2pJNWvluoUtr6edWKfZ91vt+0oWYSMeP4VAweOxxzXT2Vha6bEY7OERIW3EAkkn6nmrW446nmmBwh1TWrazmnkvp32RA/PAoALQeYT07N0/KnyeJL+JYfKup5omutsMzQYE6ZjBBwv+04xgdM54rtJ4Y7qCSGdQ8UilXU9GB6inDIGASOMdaLBc4s6lqcen/a5rmQTyWwZpWhAKfvmGwYUheAOSD1560T61q7GUQzzCby8rE1sAVj8pWE3T7xckYzj2rtASDwTTt56ZNFguZOiXksiz215M8lxFPKqs6bWeNWwGOBjvTLX/kdbz/ryi/8AQmrYJJGM1kWv/I63n/XlF/6E1HQXUtXv/IXh/wCuDf8AoQqC5+5D/wBd4/8A0IVPff8AIWh/64N/6EKr3P3Iv+u8f/oQpFHSUUUVIzmbn/kLX3++v/oIp1n/AMhe3/3JP6U25/5C19/vr/6CKdZ/8he3/wCucn9KYhviL/j/ANC/6/x/6A9a1ZPiP/j/AND/AOv8f+gPWtV9COoUUUUDCo454ppZo45FZ4WCyKOqEjIB/Ag1JXE3Hnx+LNRFlJeC9lvItsalxG0PkAO2Pun69QQKTCx21MSaOSWSNHVniIDqOqkjIz+FcKusX0eltqUUt3M2n21m0sT7l8x8Okq89Wyy59wKuG0v2u4rC4u74qsqLLJHIyl8WxJ+Ydt/P1ouOx2INRyXEULxJJIqtM+yMH+JsE4H4A/lXCQ3l8ZdOk1C7vorkyWYjXLLHJGV/ebgOCd2c556Vt+I5bO9tdEuzNMLB7oStNBvVghjfDZXkDp+dFwsdLRiuDtb3VS9n9rmvlv8Wv2WP5gkqFv3pcdCdvXd04qJNQ1Oa2jj8++CwwRR3rAPuT/SCJCD/e2Y5HOKLhY7w3EX2oW3mL55TzPL77c4z9M08MDnBBwcHB6GvOiLq4N3eW11qDG0tLkW0qu25ilydiserYHY9RXW+G4I7d9WjUzF/t8jMJHZsZAIIz2PtRcLGz1PFMmmjt4HmmcJEgyzHoBWDr2naxc6ZPHBeRSysQYFSDYyPn5W3buNp5J9ulWNZjuh4Nu4rmTzroWmJJIkxvfAyVX+lFxGzRXCDULi1keaG61B9MEkyRSSb2Jc24wORnHmbseh4FX9HfUZPEcNpcTXBt47ZL8lnPzF4wmw+wYM2KLjsdZRRRTEFFFFAjJ8N/f1n/sISfyWmeEf+RXtPrJ/6Man+G/vaz/1/wAn8lpnhH/kV7T6yf8AoxqO4djZooooGFc74pikub/RreOPzhJLNuiM7QhsREjLLzwea6Kqt9pllqaIl/aQ3KxncglXdtPTIpAczo+v3Z0qBBOshWO0AklXLN5jsrk88/d4P41o6Drd5qR1Bp0jX7CnkuqrjNwu4v8Ahjbx71pyaPp0txBM9hbGW3AWF/LGYwOgHpjtVXR3tLG2ZZrxDPPcyO7TMiNK5bHCg9OAB9PWkM5szzaRpVlcxTSBtY08wcsSftTncrD/AGvnf/vkelWTr2qWbX0dvDvtLBZbdWlQEBok+Vy+7cxJHIx0Oa3bW1062iWze5t5/sUvmRrIylrcknb9CNxAPvSy2mitfvNNHYm7mBiZn273HRlPr6GiwHPR3uo2PiC9kkuYJ1a5soJ4vKx5nmIBleflxnp3wc1JIZU8D30ETc2l21tEzE42rMAufoDj8K3X/sHz11Vv7O88Hal2WTIIGPveoFOtYdOtrSLSWlhmJXzDHKylpSTuLkd8nmgDnp/EetRzNZ26JcXUElxudIFxKI2UAEFgEB3ckZ6VBrviK7nTUrUEGzmguUQrHtEbRgEgPnLHOQeMehrpzYaNq0RkMNldRxytIzgKwV/4iSO/HP0rIivfDs98zTaYiXd1YyXuXhGZYeQefUgZx6daGCKE8uqTal+61BfNh1K5WEyRBhGq2+7GM89e9a9xcyanaeHBKFRL+ZJJ1HQ7YzJt+m4D8q0IH0eWWO5VLVLm6jFzhtokYFMbiP8Ad4J9KZqEenT2EEf2qC2jt2jmgdWUCPH3cZ4wRke4zQgObtPE08eo6xfL57R3MMslsJ42WJTCdq7T0IYEscehp1qk8viC5sNQmjuzcXflSyBSgKmzzwoOB/k10cRsLi8j0/7NA0ccHnWxADRtG2Vbb9M4I9GqGTwxZpLAbDFgkXmNtgjA3O6FNxPqFJx+HpRYCbwzdS33hjTrm4JMskI3Mf4scZ/HGfxrTqO3gjtLaK3hXbFEgRF9ABgVJVCCiiigDF1j/kY/Dv8A13m/9FGpZf8Akd0/7B7f+jFqLV/+Rj8O/wDXeb/0Uakl/wCR3T/sHt/6MWmJmtSUtM8yPGfNjxjd98dOx+lIY/8ALNFccst3Z65eJFeRxSahqTQm5khU+SqRbgvoc9Bn0PetHw5qt5q920lxLEIEtom8tE+87A5bPpxkD3pXCx0OD6Ud8V59p2mh7vXr7VbyWxtIP3UkAcB1w+4kgHo4wAepBp97ZyR6VZTO1mscX2m8+wXU7cR4BEYKnqo9TwWouOx3wBPQUYOM4OK43xHdRXPls8rRQrpU9xEok27JhsK9D95QenvWdc3l2jXN2s8i6kZrmNtrncI1tdyjb2AbBHHWi4WPQiCOoxRXMaFZ202rz/Z5ne1svIng2yll3vEQx75yMH681t3019C0f2KxW6B+9unEe38xzQKxcpcH0rn/AA3qGp3d1qMV9Bi3gl2wzFwxJ/iTgDIU8bvw7Vh3+p3dj4n16GOZwuo+XZWwySIpzGuCPTIZj/wGi4WO8wfQ0n4V55YmC40Bnv7t/Ns9GhktHaYqQ/z5cc8sWCj8h3p81zd2t5dtPLK0F9q1vFjPEMymIlR6BgW/Ffei47HoNJ2ridD0xtS0q+wkEdwzzmG6W5LTblmYruTsBgDr0rV8MSXN1p1vqdxcKk2ou1xLD97IxhUUnoFAzx15ouFjocd6Xac4xXLSwwt4pme1uGE0CySXk0kvC7oyEhA9B9/pxj1NZOmpHE9lpF6bV4fOhNzcW0r+Xcq0LldxY8HcuevORRcLHfc4oxXAWcrTItxcTs15BHZCyLSnJDSMDgZ+bcBg+uK0vDbj+2bcxTO7XFpPJdZctlxNgE+hHIHsPai4rHT3n/Hjcf8AXJ//AEE1zl7/AMkn/wC3JP5iujvP+PG4/wCuT/8AoJrm73/kk/8A25J/MUxHVen0oBwc4zR2H0pKAOVuTrelX1gPto1CWd5iYnPlphY2bGQCf/1CpF8XNPNZrb20Xl3kaeWWmy6O8ZddygYCjGDk57gYrb1DRrbVvJFwZlaIsY3hlMbDcNp5HqDiqNloujXYt7+xSXyUZXjRZGWPdGDGCV9QBjn0qSjKg8U6la28dzqMVtJCNLjunWIkM0jSbB24HI47Vai8U3dzL5FvpqvMkM0sn7whSIyB8mVy24sMcDvVt/D+l29qqT+aIRD9lHmTH7hfKrn1DY29xV2DSI7R/tMHmzXiRPHHJczM2dxBwx9MgUahoZU2vnUvC2r31gTGsEZEEytksdgJP4E4/CqMutXf9pWv72QWcFzcm5HmYZxFErADA+7z0/WtbQ9HtB4UGmAiWH95FOUBQFyx3gdwMkgewq0ugWSyeZ5BOXkc5JIJkUK/HuABQBU0zxCdV02/maDyWgh81TGxIYFCwwSB8w78EZpNO8QS3Oo2ti9sFWW3jkWSWXEkmUDFlGMMB0ODnPbFJcHTPDlstrdT3Pl3f7hFkd5DjhQo9B8wFJPbaTo+oW0s7zo0MRdFMjNHGqKE8wr0BwQue+aAH3HiOSC+lU2YNlFcG2ebzPn3iPeSFx07detVx4mug8Ns9giXt0Into/OyhSTdgs2OCNpzgH2qO7sIm8WK8ksaQrIk8sCtITI7qY1LJ93nnLe3TvVyXw9pFjZ5lFyoaSJUmMzmSMqcRqjZyoGT+ZoGZV94qur3TpX0+38nyRE1zIZfmjLTbCqjHzfdbk44IretobvSbW+nv71rzbmRQcIEUZOMngdep9KrX/h3RbSzMtz5ltbwRqshWZlDhX3Lv8A7x3HPqSfer9vqdpqKp5EhlEu4YMZ4K/eDAj5TyODzQIq6H4gXXFkWKDypEj3E+cki5yQMbTkj3wPSsm4uNZ0C9QSXJ1NY7Se4kDt5eUUp7csBux25rpjHBaCa5WBIyRuldI/mbA74GTWfdafp/iGdvMNwXt1MEgjkaPKuAxVsdQRigDLv/F0qS3MFpFD5n2aSSBzJu2ssYf5wBgcHpnPHIo/4Sa+s/Pe/htmTy7VYgjt/rZQfvHb93gn8K0ZPDelQ3QnkSUec7RrGJG8vdIu1sL0GQOvtT00HTbuzBjeaWN4o1WRJySfLOUYEfxD1oAor4ruZIpXi0wEQWxuJg0hBIDsnyDHIO0kE44xWxpeorqltJcRKBD5zpE4OfMVTjd9Cc1ShtYLjTJbvSWM1xPbGBZLuRjkbmJD9TkEt/Kr2k6emk6RaWEWCltEsYIGM4HJx9aaBlusm1/5HW8/68ov/QmrWrJtf+R1vP8Aryi/9Can0EWr3/kLw/8AXu3/AKEKgufuRf8AXeP/ANCFTX3/ACF4f+uDf+hCoLj7kX/XeP8A9CFSM6SiiipKOZuf+Qrff9dF/wDQRT7P/kL2/wD1zk/pTLn/AJC19/vr/wCgin2n/IXt/wDrnJ/SqJGeIv8Aj/0P/r/H/oD1rVk+I/8AkIaH/wBf4/8AQHrUkkSMAu6qPVjiq6E9R1FQ/a7f/nvF/wB9Cj7Xb/8APeL/AL7FIZNS5OMZOKg+12//AD3i/wC+hS/a7f8A57xf99igBLy0h1BI0ulMiRyCRVLEAsOmR3HseKnyfU1D9rt/+e8X/fYo+12//PeL/vsUAQ3Gl2d1epdXEPmTJ0LO23oRkrnBOCecd6tRgRIqRgIigKqrwAPSovtdv/z3i/77FH2u3/57xf8AfYoAm555PNRXVvHe2rW1wC0T9QGKn8CORSfa7f8A57xf99ij7Xb/APPeL/voUAFnaw6fapb2ieXEpJABJ5JySSeSSe5qbJPU1D9rt/8AnvF/32KPtdv/AM94v++xQBNQDg1D9rt/+e8X/fYo+12//PeL/vsUAT7jnOTn61Wgsbe3vLi6jjxPc7fNckktjoOegHPA9ad9rt/+e8X/AH0KPtdv/wA94v8AvsUATUVD9rt/+e8X/fQo+12//PeL/voUATUVF9qt/wDnvF/30KejrINyMrL6g5pgZfhv7+s/9hCT+QpnhH/kWLT6yf8Aoxqk8Nj59Z/7CEn8hUfhL/kWLT6yf+jGo7i7GzRURurcHmeP/voUfa7f/nvF/wB9CkBLRUP2u3/57xf99ij7Xb/894v++xTGTg4IriZvCt/JFd/ubcvJFKsRZxwWufMH0+X9a6/7Xb/894v++xR9qt/+e8X/AH2KQHJ3Ph3U5LjUfIt4UilJlQNKreY/mq/ynG5AdpyG4zjFTQeH799Rub2a1tVlkhvBGsjCQI8rqVB9eAc1032q3/57xf8AfQo+12//AD3i/wC+hRYdzlLDwxffao5by3j2CZ5CssiORm2EY+6Av3uwHAqW38N3sccttLZ2jieNCLtn+a3ZYPLwB1JB6EcYJrpvtlv/AM94v++xR9st/wDnvF/32KVhXMLQ9EubPSL6CeN4rie3EGXmRwSEKgjaowOe/OOtZh0i81rS/tFoFguE0yO3gLnBS4jLq6MP7pBIJ967A3dv/wA94v8AvsUfa7f/AJ7xf99CnYdzlYfDV6rR27wQBTLDO13vBZNsIjMeOp5HXpgmlsvD+pNLZNd2kMaWxtIyvmq+5Yt+5v8Ax4YHWup+12//AD3i/wC+xS/a7f8A57xf99ilYLnPaHYTWmo6dbSqqvp9pMJtpyAZZAUXP0UmunPNQfbLf/nvF/30KX7Xb/8APeL/AL7FMVyWioftdv8A894v++xR9rt/+e8X/fYoAmoqH7Xb/wDPeL/voU5J4pG2pKjMewYUwMnV/wDkZPDv/Xeb/wBFGpZf+R3T/sHt/wCjFqLVz/xUfh3/AK7zf+ijUsv/ACO6f9g9v/Ri0xGoRkEdjxioPsNrs2fZYNuwR48sY2g5C/QHnFTPLHGcPIqn0Y4pn2q3/wCe8X/fYqRiT2VtcxPHPbQypI291dAQzep96dHBFES0caISADtUDgcAfQU37Xb/APPeL/vsUfa7f/nvF/32KAEls7a48zz7aGTzVCyb0B3gcgH1xUf9lWBiWI2Nt5aNvVPKGA3rj1qX7Xb/APPeL/voUfa7f/nvH/30KAIE0awAcPaxy752uSZVD/vD1YZ6dB+VTi0txdtdC3i+0Muxpdg3lfQnril+12//AD3j/wC+hR9rt/8AnvH/AN9CgAtrS3sovLtIIoI8ltsSBRk98Cpah+12/wDz3i/77FH2u3/57xf99CmBNURtoTIXMMZcsH3bRncBgHPrjik+12//AD3i/wC+xR9rt/8AnvF/32KQDH02yk8kvZ27+R/qt0YPl/7vpUpt4WBDRRkM4kIKjlh/F9eBzTftdv8A894v++xR9rt/+e8X/fQoAbDp1nbXDTwWkEUz53SJGAxz1yfepFtoEEWyGMeTkR4UDZnrj0pv2u3/AOe8X/fYo+12/wDz3i/77FADBpliLs3Qs4Bck5MojG4n1zTRpOnravbCxthbyNueIRDax9SKl+12/wDz3i/77FH2u3/57xf99CgBGsbV5oZmtoDLANsTlBmMeintSw2dtbSyywW8Uckx3SuiAFz6k96Ptdv/AM94v++hS/a7c/8ALeL/AL6FACXf/Hjcf9cX/wDQTXOXv/JJ/wDtyT+Yro7r5rCcgggwvgj/AHTXOX3/ACSf/tzX+YpiOp9PpRTXdY0DOwUerHFR/a7f/nvF/wB9igZOhAcE9M1wMNjqcL6XEbC4RoCrJKAzYJnYuDg4QbMEkg5BxXb/AGu3/wCe8X/fQo+1wf8APeP/AL7FJgjiH0ma4t75JtOu5kWeObfKrCRyJskbQxDkL0ZccYFa+jW11B4svW+zXXkSeYzTTZXadw2r1KuuM4IAKjg10H2u3H/LeL/vsUfbLf8A57x/99ilYdzjr3T75VkVrO9kcrcGzMJOIpzLlXODxxg5PGAaS50vV4/tVxAtwt1M14ryCTAKYXZjJwATu2/Wuy+125/5bxf99imtc2zoyPLCysMEFgQR6UWC5i+GI7OSXVPs9rIkMdwnlR3Ay0f7tScZJxzzVXxLbTXF9q0ESM0t1pKpbgdWKyHcB7jcp/GuhtDp9lCIbT7NDHnOyPCjPrUjz2byJI0kBePOxiwyuRg4/CmFzmptI1KDXnlinvblWa1/fyleiu+4fKBwMgnjvWRaWjXd6LLyLvzTbwNeK7k+Y4uPncHPTAPI7V332yDr58f/AH2Kr28emWjyParaQtKcyGMKpc++KVguZCWUi+EbqzurK6mRLmQRxRviURCXKMhPcDBA9sVk3tnrF5ZSbIrtyYrhEm8sQyygmLazgY+fhgD3AzxXafbLf/n4i/77FH2yDOfPj/77FFgucjdaFdWrXLWEN0D59zHGBIxxC0DbQMnoZMfjUOo6fqP2CSP7BcSGRt25VZiGFuoX5QRk7uAScAiu0+12/wDz3i/77FH2yAf8t4/++xRYLnMQaXfSMktxDcmZ7218ws55iES7+/TdnPvVCx0u5s10CxhjltRdFobqFiVKiJzJuA9CBtz3BFdv9st/+fiL/voVG0li1z9oZrcz7PL8zI3bc5xn0zRYLlDw2Q1ndyIMQyX07R/TfgkexINbFV457SKNY4pYUjUYVVYAAe1O+12//PeL/vsUxE1ZNr/yOt5/15Rf+hNWklxC7BVljYnsGFZtr/yOt5/15Rf+hNT6CLN9/wAhaH/rg3/oQqC5+5F/13j/APQhVi9/5C0P/XBv/QhVe5+5F/13j/8AQhUlnSUUUVIzmbn/AJC19/vr/wCginWf/IWtv9yT+lJcf8ha+/31/wDQRS2n/IXtv+ucn9KoQ3xF/wAhDQv+v8f+gPU1w6rNdSyDcsS8DHQBcnFQ+Iv+QhoX/X+P/QHqadPOe8jzjflc+mVxTexK3MTT/GGl6javdrmC0RIy0820IHcZEfXlgOoHStOHUbC4kWOC5gkkYkBUYEkgAn9CD+NcnF8OpbfS4rK31BBHE8c6oyts84KVc8HOGBzx0IrQ0Dw22neK7u7MRS3is4raH+674G9lBycYVRk1JZYtfFtpLc3sd7aTadHZOI5prooEDkAqvBJyQc1bg8QadNc3kLyww/ZXK7ncYkUIHLj/AGcMOaztT8JXF5/apgv44v7QuknKshI2rHsKnBz78VnN8O3KXw/tFc3tqLaTEecKqoFI9PmTn1BoA6Zdd0h/I26haH7RnysOPnwcHH48Uv8AbWl7N/26127d2d4xjG7P5EGucj8FXLS2MovbURwyCaSONGKs3mb8gkknI45z7VHa/Dp7O5uriHVCJJYJIkyhIRmfIPXsgC0BY6dNa0qRVKX9qwcArhhzkkD8yCPwpt5q0MENlJawNei9JEPlMiggLuzliBjFc7Z+DprPXtFJHmJZLcSSzqMRszMTGuCckgkmt3UtJutQtdO8w2E1xaMXkWWI+TISpXhRyOuaBFkarp4eSN7mBJYV3Sxlhuj6Zz9Mj8xTl1PT3QOlzAVOMEEc5zj88H8qy5fDksvnkyW7NLJLJsZDt+cJgHBzxs6/T0qI+GL1xEJLyJhhGlLIxYsm/GD6fPyTzxQFjXi1fTZzGIry2cyKXTDDDKM8/ofyqRL+xezN2LmD7Kpw0uflBzjH1z2rGj8Lsk8b+ZbOv2eKNjIrHayRlAVUHBBz3q5BpFzHoqWzTwm4juFuI8hmjXaQQnPzEcd+fyoAh/4Smya0gnWMfv5UijUsOSzMoJ9B8hNWNP1+w1C3jl8yOHzndYkkYbmCsVzjtkg1VsvDMtrJBI91GzRzQzNtQgHY8jED6+Zj8KhXwkyz27mWGUKgSTeG42uzqVAOM5fv6UAa66tpjhCl7bESKWQhhyBnJ/Q/kaji1vTJ7q2t4LmOV7kuI9gyCVAJBPbg1mHwk37oGaFgLOO3YsHyrIjKGUA453Hr0q3baDLa6jb3STxkRMdylSMgxLGce+VzQBIniDT/AD7xJpIoEtpvILyMBufGSAPb1qxLrGlwM6y31qhRijZYfKQMkH8OaoXnh6eaSeSGeAPNLMSJUJASSMIen8QxkdqT/hFwLZYFnXav2gAlOT5kYQZ9xigDRXVdNdI2W8tsSsUQ7h8zDAx+o/MetXIlEd7HtAXeCGA74GRWFceHJ3u/Ot7mGMm480sUO5VxGCo5wQfL6EY5B6it0HN7Af8Ae/lTQmV/Dv39Y/6/5P5CqegZPhKxTJw8rq2O48xuP0q54cHz6x/1/wAn8lqn4eO3wrp3/XZ//Q3qn1J7EGqeIrXSdQWwe2mluXRGijiVcyFm2hVyeo6nsAKt/wBs6WZTEL61Miv5bKHBIbnj68H8qztc8OHUtfttUhvY7e9giVbXcCSrq+5jjPIK5Uj3rC1LwBNFo9/b2z/aJrmVVtnTIaFTLvJYk4AGW5Az+dQWdHqviKLTYLOeGymvoLyRI4pLcptLOcKOSOvrT5vEumxRxlJYZHNwlvMiyLm3Zs8t9MGpNT0aG5sNOt4riKCLTru3nJbpti/h9siudv8A4etd/bBqGrptu5kO7ZtbAZyF5OM/NjA9KBnUjWNKLhBqFpuMXnY3gfu8Z3fTHP0pI9a0qZEeO/tWV+VIcc84/nxXOt4Iunvri7e/txNPDgssJykvlCPcozjbgZwRnkiqlz8OZbuxihl1FUlR55C0atgl8Fepz8rDP40XFY6v+3tHLYGo2hIQSYDj7p6H9R+dTQahZXU7QQXEMkq5JRTkjBwfyPFcpdeDXWaWdbpbmKKzaCO1jX95zEEwOcdQDz61ueGtJudI0jT7a4ki/d2+J8rl2mY5J3enJGKB2C08QQXQTfazW7SBXiEpQeYjPs3Ag9j2681NLr+lxvEi3MUjTMyJswQWVdxBPQcd+lU4fDFwy2/2q6hLWojSLy4zjYsokO7J5JwB6Co4PDVxHEYVvLYiORtsKq22JGjKEDnI65A6DtxTA1U1fTX3A3lssiR+ZIhcZQYBOe3AI/OnxarpswzHdwMOOQfVto/8e4+tYs3hN1sSqTiR0MkgCx5LEoigYzz9z9aZBoV/cI15dNb2rTSmSdGQjCrN5qleeOnOaQrGrPr+nwafJcNJGZEgafyA6lyoBP06A1Mur6bJHE6XluVmO2P5h8zcZH6j8x61ht4UuZLdYYry3WNrRoHdUbMmQwGecEDdkHqOnQ1Zm8LGTUTc+ZC6vIS8bhgAp2HjaRkgp3459qANm1u7S9aQW08Mvlna+w52n3/I/lVS117TrnTvtryi2h81oQZwFJKn+RHOfTmoLHRLqytNShF1Ev2lSsIjQhYs5+bBPBOc4HAPTrVdPC8ljJu0+7VgpUql4DKAfLMTfht24H+zjvQBoR65p8skqpLHtheRJHYhQpQAk89RyORTxq+msYQLy3zN/qxu+9zj+fH1rMvPDE128ubmJULSPHiM5BcJ1HTAKduxoXw1Mbi4uJriHzbjLSBEO1WMqyHbnthcUAdDhf7o/KmSorxMCo6ZBA5BqQ8kmmv/AKtvoaYihqTF9c8Mu3VpZSf+/RqeQ48cxg/9A9v/AEYtV77/AJDHhb/rpJ/6JNWJP+R6i/7B7f8AoxatEsg1DVIdK0mfUrpGZFbL7cZ5baOvYZFV7TxJpt1BHPJKltHNK0duZmVftAU43J/sk9DT9W0n+3PDc+nFxGJxgsRkAB8n+VYT+AJGuLMC7ie2tC0UUUqv8sBcOFyCOVII9MY9KzZodKmpWtzbySWDLeusQlWKAgs4JIGM8c4PX0qjpXinT9St4pZ0bT/PcpAt0yBpiDg7cE9+Oe9M8G6K2jrqc8sLwm7vHkjjkILJED8o46dSce9UJvBNzLY6farqMQjtSxdTGcMTL5gIweo6c8d6ANaz8TaVc6b9smuIbQAkOkzjcnzFRn67TirDa5pSStE2oWgkVQ5XzBwDjB/UfmK5lfh5JFZzxJfwsJLoXmJEbb5nzAgkEHaVYfQj3p58AStduWvofs/2V4Io1iKmLdGE456AqCO/vQB0cmuaTHGXfULVUXqxcYHJH81I/A0razpaZLX1qACQfm7jGf8A0IfmK5WL4dPZ6fcQW+pRoJpELmRTtKBCCuc5GXYtx64q5pHhm5svEN7dRhYxHZQ2sMkq7kkkAUSOFz0IVRQKxu3+qJY3QgWzuLlhGJZPJUHykzjJBOTzngZPFRXfiDTbNGkkmR4UO15I8NtbcF2465yfwqe7srw6mt5YXUULPEsMvmRliAG3bl9+SMHiqE/huSSzEUdxGrKjgEqcZMwlGfbjBoGXk1axMiRyTQxSu7IiM65bBx296SLVrS4ubeK1dLgTs670IwpVd3P1Bqgnh+5gvZZobi323LEzeZFuK/vGddnbPzY59M03R9Am0u+inu7yKSQMWbBOX/dhM8n2z6DOKBGp/a2mkzAXlvmH/WDdyvOP58fWkbVtMXOb224RZDg5+Vuh/GsSLQNQlEkhmht2R5FhUBssrTeYd5B7gADHPNSxeGLm20020V5CJGEQztZQwTdkZB3DO7se3vQFjUm1rSrdts1/ao2AcFh0IyP05+lJea1p1jFNJNcxYhUO6p8zAEjBwPqPzrOt/CskUECNcRExggnYecwGL+uaZD4Ukt450SeBi6fI7B8q5VARjONvyfXmgDXl1bTYDL5t5bJ5RAfLD5STgfrxUkd/ZTeeIZ4pDACZQpyU+v5GsceFD9taZpIT/pYulbDlxmTzGTk4xnoQPrVzT9IuLK9v5Hni8m4BCRxqQASSSxz0PPQcHrQA7TtcsL+1tpWlhhkuY/NSJnBbbzg/kDx7H0q9bzW93brPbPHLC/3XXkH6VhL4YnEcUBuYfJWOHe2w7y8SkLg/3Tnnv+dben2xsdMtbQsGMEKRFgMA7VAz+lMCRTsgvo1wFEJYD0JVs/yrHvj/AMWo/wC3NP6Vrn7t/wD9e/8ARqx77j4Uf9uSf0qkT1Ni8IWaWWQblgh3gfgSfx4rE0zxdpep2r3S5gtI0jLTzbQodxkR+7AdcVuXS+c9zFnHmQhM+mQRXGW/w8ls9KjsbW/i8qN4pwro20zqpVzwchWB7c5FS9xrY6yHUdPnmSKG6t5JHLKiqwJYgBjj8CD+NZlt4rtXubyO/s5tOjs2Ecs10yBA5AIXgkkkHNU9C8LrpXima5RBHDFZRwQgHCu+AHdVySBgKM0/U/Ct1qA1Fra/jj+23aTkFCQVWPYUJBz75HpikM0IvEOny3d1A8sUX2dsBmcYkXYHLD2AI5qVdd0llgK39oftBIi+cfOQcHH48VzUfw7kQ3JOoJm5tRaS/IfuBFAI9DuTP0OKkfwFcypZ/wCm2sflSCWVUjfaWEgfIJOcnGDn6igDo11vSGQsuoWhULuz5g4GN2fyBNLHrGlSqGjv7VgwBBDDnJ2j8yCPrXM23w7+w3F5Pa6gI5riKaNDs4Qu+V49lyv40mn+D5rLW9I3EyR2j3FxNMvEbM7bo0wTk4Yk0AdJe6xDbQ2T20JvftrFYfJZFBwpYnLEDGBT11axLOklxDFNEm+WJmG6PGM57cZHT1qnquk3F7BpayPYPcWsjOySxkRSkoRgKDkYzmoZfDlxMZJI7uKOcySyfIhwpdEXHrgbfrg0AXE1/T31FLQTxkyRCSN8jbISxXaPfKmpbbV7C4gid54YXki84xOwDKuM8/gCax7bwhcxEK11b+U5BlwrFgBMZRtJPqcc9qkj8J7SzedazxSRcNIrNh/L2cAHaVI/HrQBtfb7H7F9r+0wfZs7fNzxnOMfXPamPqmmxswe9tl2x+acuMBMZzn0wQfxqm+i3D+HhYyXEMlwJvNV3DbV5yAGB3ZHZutUj4SkbzhJcxTGZFJldWDLIEVCQoO3BC+meaYGtHrOlyrIY722YRrufDfdGcfz4pTq+mhkU3dvudd6jPLDnp+R/I1QufD8rNNJb3kMUm+ViSMffdH2kjkcLjPXnIqOw8Ky2aoHuY2KvExwp/geRuMn/ppj8KQF2DX9Nms1uzPHHbuqMjyEDduBIGOoPBq5Jd2kEkSTTQo03EYYj5/TH5j86wrfwxeWsds6XNq1xbxrEvmRkxsAhQkj1wc/WtK/0iW7uLKSGeGM24Cu+whiuQSABxg46EYHBHIpgTnVdNEbSfbbfYjbGIYcH0/Q/lSvq2mxMwkvbZCjbGyw4OM4P4c/SsH/AIRGaOxNtDcWqMR5W795mWMKwG75sgjdnC8cc8Vdi8PXMCRfZ5bYzI75E0RZCroiHj1+TPpzikBdtdSs9VjuI4XQTRFw0eRuXaSN35in6eS/i6dj1bT4SfzalXRhZzrcI4IjhljKhcZ3NuzTdO/5GuX/ALB8P82prYll69/5C0P/AFwb/wBCFQXP3Iv+u8f/AKEKmvf+QvD/ANe7f+hCobr7kX/XeP8A9CFBR0dFFFSM5q5/5C19/vr/AOginWn/ACF7f/ck/pTLhh/a1+CyjEi9T/sinWbA6vb4ZT8knQ/SmITxD/yEND/6/wAf+gPU8xIa8KfeAJX67eKq+J5Ft59HuJTtiiv03uei5VlBP4kCr81vOszSQqGD43Kxxg+oNU9iVucfBPrVs6TSXN/cKDGDGyKdweBmbt1DgY9OneqC6zqrRKhvLtZSszWo2Emdh5WwNlQSMsw6AflXebLz/ngv/fz/AOtTGtZnuEna2QzIpRX8zkA4yOnfA/KpsVc53XDdW2tNPDLdRxvZxq5jBZYwJf3hUYPzBTn1pW+13Wi6bLNLdfLqCneAVd4dzBWcAdxjPFdH5d0OkC/9/P8A61AjuwciBf8Av5/9aiwXOIhk1nTtMt7aKa4jtxHCWkZOYMpJkDCk43BB0PX3ra1W7voBpB82fe+3z0gjK+ax256gj1O04475Fb227/54rn/rp/8AWoCXY6QL/wB/P/rUWYXRxaX2s3N7LEk96kLTDJC/MnEuVyVAAyqdM9RzzTZ7vXoIET7XchWKMZ5IzlWaEHb8qn5d/bHtkV2xjuj1hX/v5/8AWo8u66+Suf8Arp/9aiwXRz+s3moW95pq2rTBm2GQKp2SEuoYEYPYk4JGB71SE11cR2c095qLSRz/AL6MxFVjkMbjZ05XO0Y6DPXmutCXY6QLz/00/wDrUbbv/niv/fz/AOtRYLnFNe6zDYhYjdJcJbfLCsP7tU8gEOOMbvMyMfhiui0mWaLzbW6luJnWZ/LklXlkGOpAx34/+tWnsuz/AMsV/wC/n/1qPLuv+eC/9/P/AK1OwXCik8q6/wCeC/8Afz/61HlXX/PBf+/n/wBagQtFJ5V1/wA8E/7+f/Wo8u6/54L/AN/P/rUALRSeVdf88F/7+f8A1qPLuv8Angn/AH8/+tQAtIn/AB+Qf8C/lR5d1/zwT/v5/wDWqSC3l84SzBV2ghVU569STTSAqeHP9ZrH/X/J/JapaCCPC2nY/wCez/8Aob1a8LzJcR6pPCd0Ul9KUYdGxgEj1GQah8Lqt14ZihRsTW00iOOuxw7HBH0P6031JXQo6w06alPPb5a5trESwIOrgSAyKPqAB+NZ732vQyMr3MiSfZ/Mjj8stuzGzHAC4yrEDJPbGOa6t7KYzRytbRmWMEI2/kZ64474p2y86eQv/fz/AOtU2Lucrtki1O8imuLqSOdM3Kyp8jxfZxlycYyG46+1SXkV5d6f4ecmUyRQtK+1dwEghJQnI65/nXSS2s88LQzWyPE4wytJwR+VPEVyBxAv/fz/AOtSsFzkzcavFMqC4u5JvKQqrRja6GIl3Jx94PgY7cDFWtL/ALVi1WFZ7m6mgaYxsJlGNvkK+7IH9/I/Suj2Xf8AzwX/AL+f/Wo8u7/54L/38/8ArUWC5yVnbvBcX5gKxXkl+43pa4lEbSjJ8w8EFe3b8KSJb+S6R5pbt5ZTAmGXjaszhmxjAYLtOffNdb5d2R/qF/7+f/WpRHd/88F/7+f/AFqLBdHK6BLqEVzpOnNcXDxNa+fKZuWUoWRkOeeWZT/wGorqS/U3bWk1xHP9qu3fylyWKBPKU8dMdB3rqls5VunuRaR+e6hGk3/MVHQdOnNKtpOk0kqWyK8hBciTG4gYGePSiwXOYbUdVjmlfzrrcspNxH5fyQxiZduzjnMeScZzz6U+G81Se8t5XmuTA1xHGYmjwjxu8oO4Y/uhfpxXTeVd/wDPFeP+mn/1qGhupEZHgUqwKkeZ1B69qdguZXhqdTo1vB837tWMeQceVvYJz67QOK16bHbXEUSRx2yKiAKqiTAAHQdKXyrr/ngn/fz/AOtQK4tFJ5d1/wA8E/7+f/Wo8q6/54L/AN/P/rUALRSeVdf88E/7+f8A1qPKuv8Angn/AH8/+tQAtNf/AFbfQ0vlXX/PBf8Av5/9ag291ICvlpGG4Lbs4H0xQFzNvv8AkMeF/wDrrJ/6JNWZOfHcX/YPf/0YtQalt/4Sfw9ap/rImllZe6oI9oJ/EgVPcSJB44tDIQpmspI4yf4mDq2PrjmqJZDqE0tv4fmkg83zQODEMsMvgkdegyelYdtqWqtDawSyXXmzPEoYRnlRI4ckkcfLt5OPWusNvcQsVhRXTJK5baRntSbLz/niv/fz/wCtU2LucZp9zqVtp9hDFNfNIkUSiJ0JVl2t5pYkdVIGPoOualhn1i2xLJcX9wBtBjKDkNb7yRx1D8D06V13l3Z/5YL/AN/P/rUCK6/54L/38/8ArUrMLnCCXU7qzaeaW7kcRXEUQ2sVkGYyuQVG443YJA6Vpm71eS8eJZ7tS022cCPiAecoTYcd48knn1rqdl3n/Ur/AN/P/rUbLv8A54r/AN/P/rUWC5yevJdXvhC0iukeSR5issrxlioXcFLKByW4GcYBIPalv9VuhoujSh7nT2uEkEkcal5FZYzsQ5BJO4DPHNdXsux0gX/v5/8AWqN7WeSWOV7VDJFkoxflcjBxx6UWC5x66j4geSdZppIZwVUwpGTtUtGAy/LtHBbue/pVmXUNRi1K9ga5vDbpOgeZY/8AUxF8HA2/e29xkEc8Guq8q7xjyF/7+f8A1qPLu+P3C8dP3n/1qdguctb3eseak8zXbBPLAiWMYkUiTJIx975UPsT71lPLq17GJZRPO0RlWJ2QsdrCE4OVGed3bscdK74R3X/PFf8Av5/9al2Xf/PEH/tp/wDWosFzjb69v47fUJba7vyWuDHArAgxBQ2CTtJ+ZhwB2xk8mkD6pE0k0H2iS8ZnmKvHuEZNuMbRjj5t3A7jFdntvP8Aniv/AH8/+tSeXd/88V/7+f8A1qVgucl9q1VpCbW8vpLWIO8Mjx4acB4gA+RyMM/p09q6yOZJlLx525I5Ujocd6XZdnrCv/fz/wCtR5d13gX/AL+f/Wp2FcXNFJ5Vz/zwX/v5/wDWo8u6/wCeCf8Afz/61AC0Unl3X/PBf+/n/wBajy7r/ngn/fz/AOtQFxh+7f8A/XD+jVj3w/4tR/25J/Stm422OmX11eOqDyWLnsoCnA/Wsq8hkPwuaIRsZBYqSmOeADiqRJp3G5JZ2AJZYVICjJJweBXGW19rdxbygXN8qpvkSQJ87HydwUkqOj8YAx2ruQBeww3lkySRyxqRzww6gg+tNMV3niFf+/n/ANape5Sehz+kS3Fx4ujlu2nMscdwjoyERxKWTy9pxjkDPWqFqdYeJB5l1EuUi8mOMKuHMu9sY6jC89vxrrvKu8Y8hf8Av5/9al2XfeFf+/n/ANaiw7nDQ3OsQ2VukF1cAx6epRJI2ZpCIm3Z+XG4OAMk9sY5rR05dQHiK1+13F7JDE80al/uvmONhuwMHkuAfbFdTtu/+eK/9/P/AK1Gy7/54L/38/8ArUWC5yN3PrC3FzLHd3gVRK6R7AVysyqq9OhUt9fwqMXN/ealMssl6lvFdwuo5BTErKQflAxjbwMjBBz1rsvLuv8Aniv/AH8/+tRsux/yxH/fz/61KwXOMK6jfJZyNdX/ANriaSSYeTgW8vlP8qEjoTtGOfrzTxda0UmmRrmJlRpykcQAlcLDgNxznL/5FdhsvP8Aniv/AH8/+tRsvAf9Sv8A38/+tTsFzA0m+uptYvLa4uZ5JBbyNJbumFjbzGVdvHI247msSK61a30u3gtLi7W1RYkeWWMqYX8tsoMKTt3BB0PXGea7G30s2s8s0FjDHLMcyMH5bnPp681aCXY58lf+/n/1qVgucebzVxPNFdXM8dtbSRLPPDH82yT5iyjBI2j5emQDmiO71/yFn3XBnChVgMY2vmOQgkY65VPoTjvXVwWclsZWgtI0M0hlkIk5Zj3PHtUhju/+eC/9/P8A61Fgucesc9z4b8QNEbi5lneIxvOhDSMEjz2BwGBHTtUqXmt3N7Bbtdy27yKFYvEeXy4kxgEYX5duSOADzmuqMd3nJhX/AL+f/WpGhuXRkaBSrDBBk6j8qLBc4z+1vEU2m21/CkredukaFVBwsRGVHvJhufcVM9zrMQkVp7o3YjyI1j+TyzFu39Mbg/HXtjFdZBazW0CQwWkccUahURXwFA6AcVJsu8Y8lf8Av5/9anYLnJSrfPrCRveXay2xk8pniLqqG34k4GC28sPwxiup0V/9BjDyzTSHJEknJZc8c4Gfx5p+y7xjyFx/10/+tTohdo3MK7c8jzP/AK1FguW25Rs+hrOtbeNPEksqyAMbONdnoATzV+SOd02qApbjdnOBWRYOsvjTUPKO4W9rFE5HOGyxx9cY/OhCZcvf+QvF/wBe7f8AoQqC6/1cX/XeP/0IVNfMF1aHJA/0dup/2hUF06mOLDKf38fcf3hSA6SiiikUeN+OSf8AhMr/AJP8H/oAqz8PCB4pXc2C0DhQT1PFRePYHi8YXbOpAkVHU+o2gfzBrn1dkYMjFWByCDgimI9xvbGK/tZLe5jDxONrKwyCK54+CI+kd9qCIOirdyAD9a5LwhPNea75VzPNLH5Lna0rEZGOetdx9ht/7h/7+N/jTTaE0mVP+EIH/QS1L/wMk/xo/wCEJH/QR1L/AMDJP8at/Ybf+43/AH8b/Gk+w2/9w/8Afxv8ad33Fyoq/wDCED/oJal/4GSf40n/AAhA/wCgjqX/AIGSf41b+w2/9w/9/G/xo+w2/wDcP/fxv8aOZhyoqf8ACEj/AKCWpf8AgZJ/jS/8ISP+glqX/gZJ/jVr7Bb/ANxv+/jf40v2C3/uN/38b/GjmYcqKn/CED/oI6l/4GSf40f8IQP+glqX/gZJ/jVr7Bb/ANxv+/jf40n2C3/uN/38b/GjmYcqK3/CEj/oI6l/4GSf40f8ISP+gjqf/gXJ/jVn7Db9kb/vtv8AGl+xQf3G/wC+2/xo5mHKip/whI/6CWpf+Bkn+NH/AAhA/wCglqX/AIGSf41a+w2/9xv++2/xo+xW/wDcb/vtv8aLsOVFb/hCR/0EtS/8DJP8aP8AhCR/0EdS/wDAuT/GrP2G3/uN/wB9t/jR9it/7jf99t/jRdhyorf8ISP+gjqX/gZJ/jSf8ISP+gjqX/gZJ/jVr7FB/cP/AH23+NH2G3/uN/323+NF2HKir/whI/6CWpf+Bkn+NL/whIx/yEdS/wDAyT/GrH2G3/uH/vtv8aPsVv8A882/7+N/jRdhyor/APCEj/oI6l/4GSf401vA0Ug2zX2oOh6q13Jgj0PNWvsNv/zzb/v43+NH2K3/AOebf9/G/wAaLsOVGvZWMVhaR21vGEijXaqqMACsi/8ACFre3j3UclxbTSffa3laPf8AXaRmj7FB/cb/AL+N/jR9jgH8Df8Afxv8aWo7Ff8A4Qof9BHU/wDwMk/xo/4Qof8AQQ1L/wAC5P8AGp/slv8A3G/7+N/jR9kg/uN/38b/ABp3YuVEH/CEj/oI6l/4GSf40n/CEj/oJal/4GSf41P9kg/uN/38b/Gj7JB/cb/v43+NF2HKiD/hCR/0EtS/8DJP8aP+EJH/AEEtS/8AAyT/ABqf7JB/cb/vtv8AGj7Jb/3G/wC+2/xouw5UQf8ACEj/AKCOpf8AgXJ/jS/8ISP+gjqX/gXJ/jU32SD+43/fbf40fZIP7jf9/G/xouw5UQf8ISP+gjqX/gXJ/jS/8ISP+gjqX/gXJ/jUv2SD+43/AH8b/Gj7JB/cb/v43+NF2HKiL/hCR/0EtS/8C5P8aT/hCR/0EtS/8C5P8al+ywf3G/7+N/jSfZYf7h/7+N/jRdhyoj/4Qgf9BHUv/AyT/Gj/AIQkf9BHUv8AwMk/xqT7NB/cb/v43+NH2aD+43/fxv8AGi7DlRH/AMIQP+gjqX/gZJ/jS/8ACED/AKCWpf8AgZJ/jT/s0H9xv+/jf40n2aH+4/8A38b/ABouw5UN/wCEJH/QS1L/AMDJP8aP+EJH/QR1L/wMk/xp32WL+43/AH8b/Gj7LF/cb/v43+NF2HKhv/CFD/oI6l/4GSf40v8AwhQ/6COpf+Bcn+NH2aL+63/fxv8AGj7NF/db/v43+NF2HKjQ0fw5a6PI8sQd5pOHlkYu5HpuPNTatottrFuIrlMhTuVgSCp9QRyDWT9li/ut/wB/G/xpfs0Q/gb/AL+N/jSux2Gf8IQv/QR1L/wMk/xo/wCEJH/QR1L/AMDJP8ad9ni/uN/38b/Gj7PF/cb/AL+N/jT5mLlQ3/hCB/0EdS/8DJP8aP8AhCB/0EdS/wDAyT/GnfZ4v7jf9/G/xpPs8X9xv+/jf40czDlQf8ISP+gjqX/gZJ/jSf8ACE/9RHUv/AyT/Gl+zxf3G/7+N/jSfZ4v7rf9/G/xouw5UL/whP8A1EdS/wDAyT/Gj/hCf+ojqX/gXJ/jSfZ4v7jf9/G/xo8iL+63/fxv8aLsOVC/8IT/ANRHUv8AwMk/xpP+EI/6iOpf+Bkn+NHkRf3G/wC/jf40eRF/db/v43+NF2HKhf8AhCR/0EtS/wDAyT/Gj/hCf+ojqX/gZJ/jQLeI/wALf9/G/wAaPs8I/hb/AL+N/jRdhyoT/hCf+ojqX/gZJ/jR/wAIQP8AoI6l/wCBkn+NL5EP9xv+/jf40hgiH8Lf9/G/xouw5UH/AAhH/UR1P/wMk/xo/wCEI/6iOp/+Bkn+NJ5EXo3/AH8b/GjyYv7rf99t/jRdhyoX/hCR/wBBHUv/AAMk/wAaP+EI/wCojqX/AIGSf40nkRf3G/7+N/jS+RF/cb/v43+NF2HKhf8AhCR/0EdS/wDAyT/Gk/4Qkf8AQR1L/wADJP8AGk8iL+43/fxv8aX7PF/db/v43+NF2HKgTwLbGVHubi8uVRgwSa4d1yPYnFdJ5Q8vYR8uMYrnPs8P91v+/jf40v2aH+43/fxv8aLtjskI/ge1Erta3F5bIxz5cFw6KPooOBR/whQ/6COpf+Bcn+NOFtD/AHG/7+N/jS/Zof7jf9/G/wAaLsVkM/4Qof8AQR1L/wADJP8AGj/hCR/0EdS/8DJP8af9mh/uN/38b/Gj7LD/AHG/7+N/jRdhyoj/AOEJH/QR1L/wLk/xpf8AhCR/0EdS/wDAuT/GpBaw/wBxv+/jf40v2WD/AJ5t/wB/G/xouw5URf8ACEj/AKCOpf8AgZJ/jSf8ISP+gjqX/gZJ/jU/2SD+43/fxv8AGj7HAf4G/wC/jf40XYWRD/whI/6CWpf+Bkn+NH/CEj/oJal/4GSf41N9jg/uN/38b/Gl+xQ/3D/38b/Gi7DlRB/whX/UR1L/AMC5P8aP+EK/6iWpf+Bcn+NT/Y4P7jf9/G/xo+xwf3G/7+N/jRzMOVEH/CFf9RLUv/AuT/Gj/hCf+olqX/gXJ/jU/wBjg/uN/wB/G/xpfsUH9xv+/jf40czCyK//AAhP/US1L/wLk/xo/wCEK/6iWpf+Bcn+NWPsMH91v+/jf40fYoP7rf8Afxv8aOZhZFf/AIQr/qI6l/4Fyf40HwT/ANRHUv8AwLk/xqx9ig/ut/38b/Gl+wwf3G/7+N/jRzMOVFX/AIQn/qJal/4GSf40v/CE/wDUR1L/AMC5P8as/YYP7p/7+N/jR9hg/uN/38b/ABo5mPlRC/g8yqivqOobUXaALqQZHvzzWvpOkW+kWnkWse1ScsepY+pPc1nfYYP7h/7+N/jXI+N2ksbmyFpLNCHRywSRhnke9K7CyLHxOYfb9PUN8wickZ6ciuV0fP8Aben5J/4+Y+/+0KqvK8rl5XZ3PVmYk1e0KF59f09I1JY3CcD2OTSGe50UUUhmD4r0Gy1jTWkukYSwKWjkQ4Ye3uK8lNqgYjLcUUUCNLQZm07UTPDguEK/MMjBxXR/8JDeekX/AHz/APXooqhB/wAJDeekX/fP/wBel/4SC7x0i/75oopAH/CQ3npF/wB8/wD16Br92e0X/fNFFAC/2/d+kX/fNJ/b936Rf980UUAH9v3fpF/3zR/b93npF/3z/wDXoooAP7fu/SL/AL5oGvXfpH/3zRRQMP7eu/SP/vml/t269I/++aKKBCf27dekf/fNH9u3XpH/AN80UUwE/t27HaP/AL5o/t679Iv++aKKAD+3rv0i/wC+aP7duvSL/vmiigA/t269Iv8Avmj+3bv0j/75oooAT+3rv0i/75o/t679Iv8AvmiigA/t279I/wDvmk/t269Iv++aKKAF/ty69I/++aP7cuvSP/vmiigA/ty69I/++aT+27r0j/75oooAP7cuvSP/AL5o/ty69I/++aKKAD+2ro9o/wDvmj+2bn0j/wC+aKKAD+2bn0j/AO+aP7Yuf+mf/fNFFACf2xc/9M/++aX+2LnH8H5UUUAH9sXOOkf/AHzR/bFz6R/980UUAL/bFz6R/wDfNB1i59I/++aKKAE/ti49I/8Avmj+2Lj+7H/3zRRQAf2zcf3Y/wDvml/ti4/uxf8AfNFFAB/bFx/dj/75o/ti4/uxf980UUAIdYuP7sf/AHzSHWbn0j/75oooAP7XuPSP/vml/ta49I/++aKKAD+1rj0j/wC+aX+1rj0j/wC+aKKAEOrXAHSP/vmgavcekf8A3zRRQMT+2Ln0j/75o/te4PaP/vmiigQf2tcekf8A3zR/as/pH/3zRRQAn9qz+kf/AHzQdVuPSP8A75oooABq1x6J/wB80v8Aa1x/sf8AfNFFAB/a1x/sf980n9sXP+x/3zRRQAf2xc4/g/75o/tm5A/5Z/8AfNFFACDW7r0j/wC+aX+27r0j/wC+aKKAF/tu69I/++aP7buvSP8A75oooAX+27r0j/75pf7bus9Iv++aKKAF/tu5/uxf980f23c+kX/fNFFIA/ty69Iv++aBrl0e0X/fNFFMA/ty69Iv++aX+3Lr+7F/3zRRQAf27df3Yv8Avml/ty5/uxf980UUgF/tu5/uxf8AfNH9uXOPuxf980UUAH9t3OPuxf8AfNIdcuh/DF/3zRRQAn9vXX92L/vmga7df3Yv++aKKBinXbr0i/75rn/E1zJqMls02AYwwG0Y64oooAxPIXjk16Z4F8P2VrYx6kqu91ICu9znYPYdqKKGCOvooopDP//Z align="left")

**Why This Module Exists (Big Picture)**

Before an **AI Agent can act**, it must:

1. Understand **what the user said**
    
2. Extract **useful signals**
    
3. Decide **what to do next**
    

**NLP is the bridge between raw text and agent decisions**

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**1️⃣ NLP Foundations – What & Why**

Natural Language Processing converts **human language into structured signals** that machines can reason over.

**Why it matters**

* Users never speak in structured JSON
    
* Agents rely on **interpretable signals** (intent, entities, sentiment)
    

**Connection to Module 3**

➡️ NLP prepares the **input layer** for agents  
➡️ Agents use NLP outputs to **choose tools, actions, or responses**

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**2️⃣ Text Cleaning – Why Noise Removal is Critical**

Removing:

* Special characters
    
* Emojis
    
* Extra spaces
    
* Inconsistent casing
    

**Why it matters**

* Noise reduces accuracy
    
* Inconsistent text leads to wrong interpretations
    

**Example**

"Camera!!! is GREAT 😍" → "camera is great"

**Connection to Agents**

➡️ Clean text = **reliable intent detection**  
➡️ Dirty text = agent confusion or wrong tool usage

**Create folder nlp-demo  
**Create virtual environment  
python -m venv labenv  
  
./labenv/Scripts/[Activate.ps](http://Activate.ps)1 \[Windows\]  
  
pip install nltk spacy scikit-learn textblob regex  
  
python -m nltk.downloader punkt punkt\_tab stopwords wordnet averaged\_perceptron\_tagger\_eng  
  
python -m spacy download en\_core\_web\_sm

**Create python file** [**nlp.py**](http://nlp.py)

text = """

Hello!!! I bought this phone for ₹25,000.

Battery-life is great :) but camera quality is poor!!!

Contact me at [user123@email.com](mailto:user123@email.com)

"""

---

**Demo 1: Basic Text Cleaning**

import re

clean\_text = re.sub(r"\[^a-zA-Z0-9\\s\]", "", text)

clean\_text = clean\_text.lower()

print(clean\_text)

Terminal&gt;&gt; python [nlp.py](http://nlp.py)

**What This Shows**

* Removes special characters
    
* Converts to lowercase
    

---

**3️⃣ Regular Expressions (Regex) – Pattern Detection**

Rule-based pattern matching for:

* Emails
    
* Phone numbers
    
* IDs
    
* Keywords
    

**Real-world relevance**

* Extract order numbers
    
* Detect support tickets
    
* Identify PII
    

**Connection to Agents**

➡️ Regex acts as a **pre-filter**  
➡️ Agent decides:

“I already know this is an email / ID — no need to ask LLM”

**Extract Email using Regex**

email = re.findall(r"\\S+@\\S+", text)

print(email)

---

**4️⃣ Tokenization – Breaking Text into Meaningful Units**

Splitting text into words or tokens.

"I need health insurance" →

\["I", "need", "health", "insurance"\]

**Why it matters**

* Machines don’t understand sentences
    
* They understand tokens
    

➡️ Tokens help agents:

* Detect **keywords**
    
* Map commands
    
* Route tasks
    

Example:

* “book flight” → travel agent
    
* “file claim” → insurance agent
    

---

**5️⃣ Stopwords – Removing Low-Value Words**

Common words with little meaning:

* is, the, a, and, but
    

**Why remove them?**

* Reduce noise
    
* Improve signal clarity
    

**Example**

"I want to buy a policy" →

\["want", "buy", "policy"\]

**Connection to Agents**

➡️ Helps agents focus on **action words**  
➡️ Improves intent classification accuracy

---

**6️⃣ Lemmatization – Normalizing Meaning**

Converting words to their base form.

* buying → buy
    
* policies → policy
    

**Why it matters**

* Same meaning, different forms
    
* Avoids duplication of logic
    

**Connection to Agents**

➡️ Agents match **intent patterns**  
➡️ Lemmatization ensures:

“buy”, “buying”, “bought” → same action

**Demo: Tokenization, Stopwords, Lemmatization**

import nltk

from nltk.tokenize import word\_tokenize

from nltk.corpus import stopwords

from nltk.stem import WordNetLemmatizer

\# **Tokenization**

tokens = word\_tokenize(clean\_text)

print(tokens)

**#Remove Stopwords**

stop\_words = set(stopwords.words("english"))

filtered\_tokens = \[w for w in tokens if w not in stop\_words\]

print(filtered\_tokens)

**#Lemmatization**

lemmatizer = WordNetLemmatizer()

lemmatized = \[lemmatizer.lemmatize(word) for word in filtered\_tokens\]

print(lemmatized)

* Token → word
    
* Stopwords → noise
    
* Lemma → base meaning
    

---

**7️⃣ POS Tagging**

Labeling words as:

* Noun
    
* Verb
    
* Adjective
    

**Why it matters**

Understanding **what the user wants vs what they describe**

Example:

"Buy health insurance"

Buy → Verb (action)

insurance → Noun (object)

**Connection to Agents**

➡️ Helps agents identify:

* Action (what to do)
    
* Entity (what to act on)
    

from nltk import pos\_tag

pos\_tags = pos\_tag(tokens)

print(pos\_tags)

| **Tag** | **Meaning** | **Example from output** | **Why it matters** |
| --- | --- | --- | --- |
| **NN** | Noun (thing/object) | phone, batterylife, quality | Tells agent *what* is being talked about |
| **VBD** | Verb (past tense) | bought | Indicates an **action already done** |
| **VBZ** | Verb (present, singular) | is | Describes current state |
| **JJ** | Adjective | great, poor | Indicates **opinion or sentiment** |
| **DT** | Determiner | this | Points to a specific object |
| **IN** | Preposition | for, at | Shows relationships |
| **CD** | Cardinal number | 25000 | Used for amounts, pricing |
| **CC** | Conjunction | but | Shows contrast |
| **PRP** | Pronoun | me | Refers to a person |

---

**8️⃣ Named Entity Recognition (NER)**

Identifying real-world entities:

* Names
    
* Dates
    
* Money
    
* Locations
    
* Products
    

**Example**

"I bought this phone for ₹25,000"

→ MONEY = 25000

**Why it matters**

* Critical for automation
    
* Enables personalization
    

**Connection to Agents**

➡️ Agents use entities as **parameters**  
➡️ Example:

“Create insurance for ₹5L coverage”

**Easiest NER: spaCy (Visual & Simple)**

import spacy

nlp = spacy.load("en\_core\_web\_sm")

doc = nlp(text)

for ent in doc.ents:

    print(ent.text, ent.label\_)

---

**9️⃣ Vectorization – Converting Text to Numbers**

Transforming text into numerical form so machines can compare meaning.

**Why it matters**

* Computers cannot compare words
    
* Numbers allow similarity measurement
    

**Example**

* “battery life is good”
    
* “battery lasts long”
    

➡️ High similarity score

**Connection to Agents**

➡️ Used in:

* Semantic search
    
* Memory retrieval
    
* RAG pipelines
    

---

**🔟 Text Similarity – Understanding Meaning, Not Keywords**

Measuring how close two sentences are in meaning.

**Why it matters**

Users phrase the same intent differently.

**Connection to Agents**

➡️ Enables:

* Intent matching
    
* Past conversation recall
    
* Tool selection
    

---

**1️⃣1️⃣ Sentiment Analysis – Emotional Context**

Detects:

* Positive
    
* Negative
    
* Neutral tone
    

**Why it matters**

Same intent, different response needed.

Example:

* “This plan is terrible” → support
    
* “This plan is okay” → explanation
    

**Connection to Agents**

➡️ Agents adjust:

* Tone
    
* Escalation
    
* Decision paths
    

**TextBlob Demo**

from textblob import TextBlob

review = "The battery life is amazing but the camera is bad"

blob = TextBlob(review)

print(blob.sentiment)

**What blob.sentiment Means**

Sentiment(polarity=-0.05, subjectivity=0.78)

TextBlob returns **two values**:

**1️⃣ Polarity (Emotional Direction)**

**Range:**

\-1.0  →  0.0  →  +1.0

Negative   Neutral   Positive

**Your value**

polarity = -0.05

**Meaning**

* Slightly **negative / near neutral**
    
* Mixed emotions cancel each other out
    

**Why?**

Sentence contains **both**:

* Positive: *“battery life is amazing”*
    
* Negative: *“camera is bad”*
    

➡️ Result is almost neutral but slightly negative.

📌 **Key point**

“When a sentence has mixed opinions, polarity moves closer to zero.”

**2️⃣ Subjectivity (Opinion vs Fact)**

**Range:**

0.0  →  1.0

Fact   Opinion

**Your value**

subjectivity = 0.78

**Meaning**

* Highly **opinion-based**
    
* Contains personal judgement
    

**Why?**

Words like:

* *amazing*
    
* *bad*
    

➡️ These are **subjective adjectives**, not facts.

---

**🧠 Simple Interpretation**

“The user has a **mixed opinion**,  
mostly expressing **personal feelings**,  
with a **slight negative tilt** overall.”

---

**Why This Matters for AI Agents (Module 3 Link)**

Agents don’t just respond — they **decide actions**.

**Example logic**

* Polarity &lt; 0 → route to support
    
* Subjectivity high → empathetic response
    
* Mixed sentiment → clarification question
    

**Example Agent Behavior**

“I see you like the battery but are unhappy with the camera.  
Would you like help comparing alternatives?”

---

**How Module 2 Feeds into Module 3**

| **NLP Concept** | **Used in AI Agents For** |
| --- | --- |
| Cleaning | Reliable input |
| Regex | Fast rule detection |
| Tokenization | Command extraction |
| Lemmatization | Intent normalization |
| POS | Action-object mapping |
| NER | Parameter extraction |
| Similarity | Intent matching |
| Sentiment | Decision routing |

---

**Assignment**

review = "The laptop performance is excellent but the price is too high"

Your task is to:

1. Clean the text
    
2. Tokenize
    
3. Remove stopwords
    
4. Find sentiment
    

---

**Starter Code (Easiest Execution)**

import re

from nltk.tokenize import word\_tokenize

from nltk.corpus import stopwords

from textblob import TextBlob

clean = re.sub(r"\[^a-zA-Z\\s\]", "", review.lower())

tokens = word\_tokenize(clean)

filtered = \[w for w in tokens if w not in stopwords.words("english")\]

print("Tokens:", filtered)

print("Sentiment:", TextBlob(review).sentiment)
