結果
問題 | No.963 門松列列(2) |
ユーザー | rsk0315 |
提出日時 | 2023-05-29 01:11:39 |
言語 | Rust (1.77.0 + proconio) |
結果 |
AC
|
実行時間 | 2,471 ms / 3,000 ms |
コード長 | 48,794 bytes |
コンパイル時間 | 12,279 ms |
コンパイル使用メモリ | 406,180 KB |
実行使用メモリ | 28,884 KB |
最終ジャッジ日時 | 2024-06-08 14:13:48 |
合計ジャッジ時間 | 23,277 ms |
ジャッジサーバーID (参考情報) |
judge3 / judge1 |
外部呼び出し有り |
(要ログイン)
テストケース
テストケース表示入力 | 結果 | 実行時間 実行使用メモリ |
---|---|---|
testcase_00 | AC | 6 ms
5,248 KB |
testcase_01 | AC | 7 ms
5,248 KB |
testcase_02 | AC | 8 ms
5,248 KB |
testcase_03 | AC | 8 ms
5,376 KB |
testcase_04 | AC | 6 ms
5,376 KB |
testcase_05 | AC | 1,177 ms
16,484 KB |
testcase_06 | AC | 132 ms
5,376 KB |
testcase_07 | AC | 1,176 ms
16,464 KB |
testcase_08 | AC | 2,468 ms
28,756 KB |
testcase_09 | AC | 2,469 ms
28,884 KB |
testcase_10 | AC | 2,471 ms
28,760 KB |
ソースコード
// This code is generated by [rsk0315/cargo-atcoder](https://github.com/rsk0315/cargo-atcoder) forked from [tanakh/cargo-atcoder](https://github.com/tanakh/cargo-atcoder). // Original source code: const _: &str = r#" use std::cell::RefCell; use std::thread::LocalKey; use proconio::input; use nekolib::math::{ ButterflyCache, ModIntBase, Modulus, NttFriendly, Polynomial, StaticModInt, }; #[derive(Clone, Copy, Eq, PartialEq)] struct Mod1012924417; impl Modulus for Mod1012924417 { const VALUE: u32 = 1012924417; } impl NttFriendly for Mod1012924417 { fn butterfly_cache() -> &'static LocalKey<RefCell<Option<ButterflyCache<Self>>>> { thread_local! { static BUTTERFLY_CACHE: RefCell<Option<ButterflyCache<Mod1012924417>>> = Default::default(); } &BUTTERFLY_CACHE } } type Mi = StaticModInt<Mod1012924417>; type Poly = Polynomial<Mod1012924417>; fn main() { input! { n: usize, } let x = Poly::from([0, 1]); let exp = x.exp(n + 1); let s = Poly::from([0]).fode(n + 1, |y: &Poly, n| { ((y * y).truncated(n) + Mi::new(1), y * Mi::new(2)) }); let t = Poly::from([1]).fode(n + 1, |y: &Poly, n| { let tan = x.tan(n); ((y * &tan).truncated(n), tan) }); let res = Mi::new(2) * (s + t).get(n) / exp.get(n); println!("{}", res); } "#; fn main() { let exe = std::env::temp_dir().join("bin8FA1BD4B"); std::io::Write::write_all(&mut std::fs::File::create(&exe).unwrap(), &decode(BIN)).unwrap(); #[cfg(unix)] fn executable(exe: &std::path::Path) { std::fs::set_permissions(exe, std::os::unix::fs::PermissionsExt::from_mode(0o755)).unwrap(); } #[cfg(not(unix))] fn executable(_: &std::path::Path) {} executable(&exe); std::process::exit(std::process::Command::new(&exe).status().unwrap().code().unwrap()) } fn decode(v: &str) -> Vec<u8> { let mut ret = vec![]; let mut buf = 0; let mut tbl = vec![64; 256]; for i in 0..64 { tbl[TBL[i] as usize] = i as u8; } for (i, c) in v.bytes().filter_map(|c| { let c = tbl[c as usize]; if c < 64 { Some(c) } else { None } }).enumerate() { match i % 4 { 0 => buf = c << 2, 1 => { ret.push(buf | c >> 4); buf = c << 4; } 2 => { ret.push(buf | c >> 2); buf = c << 6; } 3 => ret.push(buf | c), _ => unreachable!(), } } ret } const TBL: &[u8] = b"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"; const BIN: &str = " f0VMRgIBAQAAAAAAAAAAAAMAPgABAAAAmNABAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAEAAOAADAAAA AAAAAAEAAAAGAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAAAAAAAABIUQEAAAAAAAAQAAAAAAAA AQAAAAUAAAAAAAAAAAAAAABgAQAAAAAAAGABAAAAAAA3gwAAAAAAADeDAAAAAAAAABAAAAAAAABR5XRk BgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAALImGL5VUFgh rBIOFgAAAADwSAEApg8BAOACAAC1AAAADgAAABoDAD+RRYRoPYmm2orhgzJO2QZXqpyYa37RW3iICV1i kGjipl1Sqlr1cKIHvdYH5G5CvsBHaQK0fgDwUi7RcPQK1X0c1xNqfiZnsuMg0qqw+dM6476nqGl8ii4f frmvEraxMfSMJvfvpC6URwz9nBmdoJWHV53LkpY3G29wCjH/2XWIEqOrc5eH7TjN6ArH4UoXbkGjpbez Z3/0+su120XZon5JaPr4whHyv9FXfGQIUQUyOgAADwAAUAMAAA4AAAAaAwAXmwkmM3GmCYALHTJPNRq/ liYhnSgPFX2WO3CstB0TYQRuPnDn/eIVCsd0PzwJH8GA1GBgnAQYAAKY6CCNGYYh6yMwpx9YZxyFkuCr C9gfyW0ks3NWuLF3lzbZQIF0gONhuDuE3/5n1x6k+bBRezYhS3+A4d6tf5gz7mjD+PQt6CZa4mP4DytG ORXOAtDiCzxh+5NpmvJgmDFJS/oYAr+vmUGmhECDEOA+aNf6Vvyyl7Q/lwjWmRbRSGUz1SdTeulF8CNV eYEKAG4gwqrfMDkj2Mc2FL4dcUDNJfeYJ05iwlX8JoMH6AOFPZq5t9sz/5+XmrpZi+zZLa+Y596pMJ5o ZWZoCtF9DUT0eklntBwlKog3SQgVvhxzHLwV9pMvLDzqRJOYiMLzHbu6KqVjtlHyJIoHSbA7NAJG5fmH s0wcWh2qv5011+J51TrGEyAYKrEDFoQAAdvkCSACMoXBNl1Hmgx8sHYxOweL30UKHHoXbviWyKrhudQ5 wtS5Y9gLYT1dUIQV9LZovZ33UF3KUj8MiJq4/LafBHiC6V9ZihI1wG5C6uMTxWsx5g78f/v9shY8YMul 6v26SJaKCdj0BkEu6qtigL50u4hnvIVHVPpgtXJxa44AuGfqsEvvknYxwZn5jDMb9n4D4kmeVh2gcc3X ZpDWuwXv4boeXKTyaAIbBu8ZQstiggSt3mRtBdkeP+AMtLc4HUiRBT729O33dtywP0pejRDZ10nzvozE qZThiyX2BTdHEyxxPObag0UbG/H2kxPBWB2DS8xP0uU/sjMLnBaDNmVac68OoR7k+zUzaUTOZhlLcGYe D+qTczO9DHnTjIXTplLbvZp8EQpz2U6DsEvc/olQsLMNCgfd2mrNCJUTwlA63/XgG3Q33N/3IlwUQJik K6P+M5wCPui73vcYbyTQrCJ2Pyxw1FVyG4s5w05nzYZ9rNV8LVRkOA3dEFF4yxlTFQocg+6tads57nQs 2WOfUD1DGTATVHNZxyPd5MW0Gw5UH6KRdQk+FfpN2+opeSIhpW4UmtvZNdpS4gN7mTPuRb+8RAqP1r4+ u0RZFP47EEFCPIy42aU6cQCNfEAO/44zw93oOM42cD7ufg6qrr28m4+H8FLcFC5BTqYPAQBcZwAADkkE ABoDACQg2YCCWrE81yEn/9qp1sIeKM6NoW6yfB+Uo4IxElmkGWxrLErzMhtjCBWOOEPik1QQJMywzZoJ LGcIHduXjIdaFu6TLxN9Bz5OYVSaBzNUtU+Xgztmn3xlsukuc51vfPIFMAdB3KuGj3KX184tcU+bsLpj M5wix9buedYeqVhrmsmksF7ZlD10rxSQirlRhhTs4juIVQXoU6ZLscy9f0sqSbAvFHk2XOcrOzOpnqD3 TyH5ZmSV0tmM1VSFua/iM/Gvs0rH1JePMjfTMSLwtx2RTGlhsZPLwmjH63K1GgOyEOVqRAH1qVAt184V DX9PhVxjup3eEhuch2cfSxaxQnK9TEw5u1/frLZrCOP8/EfcDHYA1rPMYc2Bnfg+5dVS12x0WG7EMDjW u528hywpShu4/PTvD/n76Pdqqw6ZK4X6mg+JtlJsnklOVOZ36Xfx8qEnS/WHvTwYy5Qg9vjZL0xdOWee UClaKExp3+HeGimBIt/6o8K1/HE+9WZHxQyvi2XMsPThSsRyI+UYWfb0SDCv2/7zjw1JtaFeg04+Y92m fAFnZ1edsK4eEFu9Xi4Y1NG7CDdZQkHn5iyfLjf/WjOJ/ypHX6/CyjjY7HRUYxK9HQBJFvKPsRgaTZNd PqCp87vbeXQxVWUlAdJFntA2ehp7oKnhdvMJ2SICaUhj1iRfOodysISLLqgcEOlm8cZmNk1Zy8bLc3Yv ZPsAIAehz5P9TMZLj5eSF3Lzd9Pr2AdNvU+bh59Z3zIoTpEhrOJp8YiUeE1mHocr7KD0XC3JVgFF8kY8 7WYiEzmERUGSUrSnXxQtJSAMtJydVDrO28/xWwQ50Q/xw8WMTZD0q3di0KXGCEsiMG/rjV+cBSaWn4OE M1duNQlY3pgumJuI6YkWwxoeUqQJXXn5UU/iovTM0jdScycfJST5zjUNzRPSLFGzIr3l6IDEysQwdRrf MJd1aMlCljj845wtrFatqIddXLWYSS0+68GTINUsFujUNYdd9EOqwkJgsd16iwR5BruMC6sHOc0RoBxc 8/EZkIxjH9xNvFIn9FKGWYI/nxa/J940D7wj5mDdM7Gz5wMMliH/6glJ+exLGnUoLSFbZ52iiolhDIon C8TwG+rK+LnIkJMCx8exUCtJNXsax9zx5KyylA0cEZQAogcyex8qJx7lbl/822oxm4WCHqx3/BfaKG9p pHduvoaznz9TJgGeq2sJokBzr5oBTvTHnxQaiPYKABSrAl/UtNyr4pqm1XGh0OOKgpjHFdsfJqSwr2XY +LXHjCBY5+zmRlTXYsf2W3hE5n2BSGJBmgZI+UN7GrzUBMlITlnDiROI9FpswgwRgcvz6iD63q8ICIKI DrylHKi07xa+Lz0gKLnmIvMMgPBLvgxiqY4eD9g2qiJqzVaYgHsEGyjuVey0LFgqmBo8dDlC8tYckLoy xLA5moxX9D9ERjJ0oBkv6iUfBcRDUN4g70igUiZNZ5CopgSTRjeEKjSAC0djVd4/WICGT1cr8GR62/ZN RRlEKvt2r3dLjwMAoK5Ka/Kw1PSM4l9R0C90lu0NMfNWuHhwchNYvlJ7bergH5+HSG0g0HDR+/SxuO2e FZwx2mD2k4XhYG6ABbkEKXr4PSee/DkTtVuKUpecAfchi9wAHnRKOMty+wVXFqJJoGeF4cKJPAgkwqo1 TqODH65GgLM0i3QEnVBc+J4uNouZWTYEM5BwZ7I5nGhHRCj9QBlrNBr1FSwQUSvImgo+nsBMS819eY/U 0+WNVsLwHtLRrubnfNrnYi951KkilpDk7KG3imlmQsiqUs5CAqfvejTTYhLGM4/eRqBMm6EZCcum1lyQ X4RWtBWDbmytkX6vi6iP7Op/ZoylXjS3QE7hizF1Y62WTWstjf2DdM3nok0SYQGUncHqQnrksm9sYbKt cu0hJQktbD79z/n6Ng1fl8mNXNCg00khuUwZLzRo+eGOHyWYzgImVOhdVgDi+n8Dv5o/NxB626ituDFi /mWXM8C9sOs836wyvvrCb+GomxSkHSsFjn8RlDLk9v46HTZ+7n1ZY9YoY06ws1CyOR+pwsJ62e7w8J1W R1zYWFyUAWFfHsD9suV77ww99fXQ/nCD+dyEuaXIBTk4YxwnTf8r03QMEO1qBWdc2UvVlw/BP7Id9KF+ sqXKNIo3zS2rksqmB9plXGd+CwQrh5qb9NBbAx9Qa5/dOfdxocHFh6B7/EdlHfdIFkLvGfwvVOlfkBbO 78UUoggbIA2QTGjnj6EIklyXCT4YQIVqHKMjRIMsi9mDwqanwQtXMIbLzRHEy2WS35473OLFSFgP2v/D Q+PWEBAs5ZvIAU95Q2PQKLMsTeupq+6M07/lSrvuqASTIquxewvN8oBuuAqnlpQAU//y5VvRcAVkuz4Q czk1ws1d2OsahfXCKeq+N5olh4kCmlXqonnMITDWV8adD88fprsIHv5GcGUSxLgd99vfTc652rMPwQgI Zw+QYFnmglsWT0/iHKALQBlxJsj7HnXfGk4jNc5Aquzqleh1WKx90FrXOpohBTOJMKPlwV82B2Ebbm4w XSVnpk19z7VzT4XVxxmLRR/gnZct5Gb+ODZJp0jWpSUUAISeCfA3TVCTAgkNNA+RwsVualmuw/Ke7bw7 pdpfaHkmLjC8EfeKQFZc0WBvke/kG2b/xdEfX6JX+ThqSWnRGlce9VmVXB3YLUxHK75E+g3Atv2v0ur0 1KF/cIz05/cwOGloRftlEMwnJ5YNA41m9JgTUesxF+ElB0NYjzwCTUJeEpP3qTZRzxqpHmNz+QXJU2RF YgeUJzkmOWMywxth4m9z1iUqWBmExvLwbBv4zX5LikxXXKfOhgZ0rjey8X6aF0ki0FUXjzXfOKLutRiN 624bsRO2jFXr5MICDH397rJ0caSIkgJwu29YZspTIFl9w+H87zz6QqPkzE3dcOMMWn3UVsoYQbNF8YgS voQqN54K6E14NDN3l4wr/Jsig9B7/UlDm8L91ele0kCRMEKoPMzkXJUgPi7IK5SVgbx64os/9B3D5+Iy HgZxt7ADmeX7ZC2ELqoPlusw6D5y+dI8/qHjxgm2/LbMqu/yQox51yzhCdhddM8ZN0cAfDzH8puRpuIg IPkRRM6DPrU6j9sx99kcLlJMT23d0LSVEIGewWzLmm4x4LL6ZMkJ6Wf5p8b8kvL9lqskT08VNvq1o79j 0X6MqPxfTC+WUBaQCzk/SKztyXJ+nu3iuD8r9iolI4PTgzWIiUNo4YuxTiVdvsMJT/Fj4UiNiTW0pMnY Pp858K6r1g5E+I+oyBr7OseiTcbiAC2crPjx4VJEc8sLQkSgvuqkK9/ot3/68bapuOSAJYSSkLZrZ593 7uNE9bRcm9yWDz/oAGYha7zjoQGzFBszcF+xMUK86YJx2M6j/LhQl1qvUXjMjL0fimhw1JNt+fljLfAo CcwlBHraja+7e6mAUB2HSJiVgNs0XitgMRCJdLPUHY0ucJSV5NxU1CtbAD+j1Y/MmSo/D5e2clx+ZD+s DtEdt0LUYcJW3oZzZyVGwjGDibywdQpo3UM1xm9f+97U5FbLXiRX8545inZIEp9o/LFIGWQsVdhPCDfN n7vAJqekAQSVnqgq3bFJQ3RRj+8EFQTuqeNnlDyhh/A+2n94wIeWu97aHGCwHeA0pBBv4rqKOb591EAU uwzX+f+sKSyU+dNm7WLt0N3wN1Q1IUt4hh841sdlOG4i6LKRFbVRtBSlGGmWTLHFvE28V/R+aLW2DxuF LVyHapTQnJH9Jg8kKoEqBFiR4v2lQa+RHSaMOwrVXEVaJbLoG9QzprPUmG2hRiEpAzRQVafkTxynO7CI I/qo56T/BBc5pH7IO/H6NyeAXoHgnEOR8+JJYLDmUg9P2QC2HWeXJqD8lMA8C3UPJ9Ulk2Lf89MQ7jCT WM/B95RgIyCuRhOwIw8CNfhf0fc9A9k11Q5ZbMjE1IxyapqABZ3vB0xdtoef1VfU5Q2tkKoFCGYqFdzN 3uXSwsUXaK3FyfN+/DvlRkYCIaF+XFWSB8OAytB5kmk3cCvGb08CJwaDg/L1HHiwR7WfHenSMOrJqlwj Ph0Ocd47yJvk3pC5tEZ2egAkhQL4swtTfdb4h1pN72nzH1/xit0W3NdhS2Pyjzntbu/CerEs29w1f0/m paLXKwSKcYTwECLttcrh13tTg5tnAcBKRxvkyZuENSq+0rJCB4TrrbTVtp2v3PNCJR17OrXRQIs0Qzgw gFsLZ++TiEZ4iOaXxEpbIbxeoGmrYCMy3ohVs5aUOeL2xJumn2alKFMX5ow8h2120v0iC1MGjN5Tiy0c PvLK8wn7oSLdtuQP3tNdGUL7U825tMEnkuA5Ms97VB296DrLOkdOrm1/R3n+YkbyWqb52h1dQUsZcxO2 OwKF09GUdEDQiCtimkl5fFA8owMks77jp/M1TW18q4TsmjEYAr5lb+8B7Pnk1LknxINT6DCjXxUe6/n0 l4C3ZhbVew5ff1vC7WFqZvwiVbraQ4ntbN1FbrerEbhdvFRuVa/6WgtRoe32UlzYKuiHFyDGl77Cq/pa tsc4PhQVnA/Ytzws7JpNQhgrfrkVR7Ru2XwbDhxn/D2jJ4EhMa66xDSYoVkIBnug6sQab1140hFNo4d+ wfQ5taB6VkH26nT/d9jzR9vyqzQGWDGooqacLHfoS4R7S8a60Zu147MXfLuWv7unljUm6POyWkRMPUil GFRUzoldRHyJ9IRXYK4+cv61rWWM9OnWraHmogOL+QlO8j82Ea5tQrAvZqAxZUmZYlla/qM/BBpraiU6 ueo0LeUFRyz8ebeTo4JN3/badNurncSHtUhaOBz9U7DLLOD8I9nl4B9bKNzBsh/L9AOPOctEr3FhiNc+ bsB+fq+a8FWAAEfPk+2zPQJLoRj+2BD9mQOeeCprJiQsswPagmNwkIdM+9OsxOoDVHyoUjPtu7UhXFCS RiLbkWz3iWBD4vty80KO8ql4B7gSQTJHsGI02FO9XBu2TTIKOgxDWacGoTEU5aBg47WO+wOa66EyFFXm E+lT1XFhVIzIUYwbEDop+Rs5SER9F6cpjZ4C+s4fSqLBswYUlwWogXw9PUagPqwpQXZDEAKwfQqEdfSh pE6W/EThW6i42rAHJs1gyv5VX09UG6RJHDZeHMFKcVF6GiLmqiCeJ7G5vyUL4v+o4Id17DLx1u2VbrQZ opJN6q19zHkl+NlG/m2xf0YJ/cdhrxHhMpSZp18fXc6PZ2LPuH4M7qIiR0b+VLtdObHK7WzIzKdENyEp LsPOmmE3xxEfuWGzoC+PutxHyE5h1pKotOr/nLKxoXIRQp7xILwtAXBk86xYY+LDPNgFf2M8ho3Ibx7N mGCjeRpLRNdtCXOR5ZmWP12xEJTCROg/85T70R/kncw625vhnt5wrSXCqEUrfhIYP04vgv2P7T6A5t/S XfEu7Iy4OUM3I1cUkH+9r1u9dVJL4vaX7dKXvf+LpKWAMAa8ZG6FExPRCJ/aaipfWouzkw7lO3t1E7FC /NyqJQzmNi/p4jSav0N/OR+N0xRyYfdpXlqPN7Bi7WFHgyUi4ChnixmJCjWw42W3LSgMer6zCTWEaBSu KgZV5wPkKrzobwb7vExTSGYqabVLKa2W9182YlH9qA8v6FYjv1AQtJIGwOSpRh6Vv1VlCnz81ZvBtOb5 IiQ7TTIfiOo7PZRKCFKR+38ExlFUx/8tkrFbyRwsmQTa6qQkXHEcdvwcckmQ7gNfJCvhfQVLimACwgix lu3XQjKzXHiF0U39TeBeMRCVjJO6BuRYXJIfIcZ86XRG1zaQCL5KgASteI8eDh9h4qx8EXo21jXeXEMg TyRZlWR5dGeaaEijyWS8xIi46WMNJR66/AkVRlTyFwDVzt/yRrZotRdbnn/wY/5kTZhRJ9yEz9MqWLDb 5K8YQYOl7r+z6UcYU6Tk0sxLMK5U7ik7dwQq+gDm2EsXOnlrkAxhFxFzQZljWoeUUiPBncVfsjOzEuL3 wV4k0DhPvRwqXCz2rGSM2d54tq6+l/3hi1cJEMlH0RDG8E37ISRBjyYoJw6TwLxkG9kNaUF1O0GEb8JZ 1px2vsH+4m4BfuuH033c+si70C9wDgKXczC81TBk4Op5+hg6sISh5gp5YPU1M4BEotVpFOWyPw/5ecIv ZOkI/a3dAHJlkl5kGjPKPUKAShdjtraPOJnWGbvL5oiT4sYEDTIZjBSx7JAtiMKnHl2hwO/tzHhDcPqC 0o2nXMmlQqkV3Uo26HDrTGwqCFBf4G85K/WUFXE5jQIWhevP6G52/kBUoRhnJ30J12cHFqR0L+GxctFc 4pEGjZ5kIGXbQ7XlGNe3rT4om2ljrN3N5gMC/ikVYQAPutST2bQHnhB7PsvKHegzf3yJf/E1S6QZJUpG eaSGM09TBeuAgguVA85Z55yz47Fg/q7zA3aM17z355a0e2SJhNruluC3RteR2iBDRbE60k/7MbtL80dx iGprgSV4MFtcKai2e2ZOvPJfkOFV8QG/2M8ilICi7E/CpOjNwHGSInqHgu0/vFaHZ9IYD29jOrdmtax2 3Y9rj5BABO5Oue4KyXhA+CGFammuivqWfBJG+W3X62UpwLDoeMjcW/4gcvdgb/Nt+ULL+qnuO1J86gZw 7+Zm2816nI59+iZTXivgvgekFjFABhbGzBRtg9XdQ8YMpt23uqs/XQBu2AjP0roQLqL7CI9clmItVLHX JOqLA0WOYHhVQ2rBDEpECTBBrCx6wcw1uevIsz1nWZbwVOp9FgizH1N7bYfIqnXdGlasdzsoaPzx34ko I+odRNSp1yPpWp+EazZfITxRbF+NgQWDWGdxmVS1Jiv5HSZ991je7/bRaXBJt/PAEd/9Tt7xOeybXZDY dXWLzGgWpTXkwxcnzaOwNugIrvSWStHhp60zZ8eWKdqUqblewpeC07e0rsi+XHteLVt1r5dM6tLJ92pl s56rUUAK1ARtvW8So7WmbDLKc9CzztpsAmDAqdNtUePqh5WN3qUGIK5XC8GJrYc72d88BRGEwjP+GXNP zjrhcaowrDkjH/nB4+K2hmguBaWpuzOp7VokYkpGJFDHxwdb870EIBPveU3KUYMHbCEgWdGq4rNxyGci imKwesRPhp+dP60+Y/nmhhn4cyv/MTj19hduhHaK5NxGlLnDSgsyeTawZ6cgdkKtpBR+6bgX1DxRBuTA mxf3y1ZSl/Xj0GdbjwDNUV1rKZ4IAad0KUolkUDL/aRQtHVjxmUr1RX5j63pq/Lf127EEpuwxEymXdk/ dtwhTZCtEtAojJvEor3EVf/4KihxTYYmtiIkEwd+It097qbDMskRm9ulGfC4Xzmvi5b6HApZ57QfZxSD z6vvIdtsJJ+WKZF6w28tSKr3UH5jsV3FsyCWtuhleylok9wDis1Q5CQWdBHws64EMCkgKTSQSP6o+fPb C27y9eVJpmfSKzWkEVIB2GMxeLRClfFCmrHQFOAAPpc+C/Zl+YP42RUuFTZcED7rUajHi9eOqq7OPW4g cqWuwh3W/xG977IzA78gIN3H13/PxdA2GYHjRKfr+mnpVCDOX0vX332HqgOsDwhW7Kz9atH3JnLxWwoM VGmDxR46nEd3VcifDcU7tVriWiUA3n6kZswX/oW03aMDm+C+9Gy+bPFUAnhEwzaHQkCKvpYl7DH9hqMb C8MKu8bPh/ZBAk9Fmrrra+b84QAaFKYEtCaw0GimzlCQUxoN32DEjqfMKbX6rwJluNWLEvX4vaTv+M7A 2/y8eZTJaNbclc9RNaXZO1a6hFbq5bFHwI3NX1T1LyIC8dqfoSvyA86vvKTfcvaoJ2oaFdVpE1K1sL6o Dxmi8EttW5Zs22jacSZQH6D+BPne8zHsiCAgdM4OYP1SzUMwDcF5xBOFMTQsT+BPXavez/W8rr7U6CuW o+RbLy/rr1fnVFuGsFQPlU8cJ2i22C5bAKF226b+6MIaaMUujjeRh+N2CtMKyrmLHc1L0n0g9oZCHlRH Vbpo4g+Hc4SpAlbpLyRIULVz7QQURiQIqvIRajljqnZLQRM8vGZbW/ev/jAiu8PwMvfPLJA1g5lVHZUL qNTFPssSryR/ToYhDE68hIOwI+yaXlwgyjxqJSQzAmhOCqGesfR6AKR4CMOnfLazPeLEQVtGcz1K7Tcd C2lT0+1xp1mGj5GLNR9EKrqZUJXYbKfIAZhtakJhOc2D4cdpaAB6NaIlF0DnmGlusCrwzQa8G4pn+kYm CHm3Nfn1F/E/7ASGN1tSVvJgKnxx2YCUPSiEdtCGtHQ1XDS+ZzJbBJNzdfNCwlo6hyVaaWTPbIOBseba NKVT6VlQUUL3lY1J8otvgrK2qMGJ4XCbQUv6pu5IfY/r2B9j/ECKSGtYztOuJQlBy5BVRlar3LGhUaDx 7AoOMAe04a2MSs+xZ4Van3nRPy2E6COGG7fx3cVHU/Hx96qUCxu1Hfiu52bkHFK7EJmNQ5zja2b6R7mZ NDpGXwLv3Ds/foAV6045OOK+3TOm7chPrKoL70zeLQSjXxEaEGMSVW/Da/D6CnFLiaX3WQWs0sQBWKa9 ZoDpbEkLpTQNvUJeo3yo/N/2zAp9af4no2jHXuwdjsZjsBc3iRqwp5OWgeYJRZ0zYTwpsW/eaIEM2lKd ZqQpEc9vX2gbiuQgJMaCGY6tfAhK3f6R+E8BqVYAiCJrrLGNMR+EhmjRciIubdHtEMp769TPHHLFyhDe i0u1ZRR9+Pg9kn+fww0J2jpWnkH6V/t3mpNAKO5qOhs78/HC/laM6fc8Ewrf91DZNkdBD4ueUj9d1MaG /sOAT93mqhAJxCczhr3STMqSNJeTn+DG7evc7cx0IHxphdnOeJqfrTBS9UhuW/IuSHgSMUB+hR3Y5+5d pUv5df6tDcvnYP9xeFfQb7hb4ADp9hl/LKxgdDsqkKCv2zozzEeJTtheXGkVRKukI6zjrQ56VJTcZT/h YYIl+QIBBNro0aL69UCVF0pVdypE0WQxqofFIdqgv6qYzCsuMoSOhCb8XRL2sgoAct2BWUBKi5ZUIwvA 7vVe7kYxY/2K7Qy0KHwCwPAKAAgMHzz7irevzd8ETlGuQah4POGi4iMKbfrlKtmB+4aEJiLbdcAvXhxN vNfZ0lHCrgslJj3xXxtgqZWSnalLv7VHs68fSiE7Zhb0yk/A0/GiNRKWbrC5OMQLGkj31gRAkyuBqFO2 xdph6lg6mBs59FiBKgXEoBYb4r1MVCULngE8Q6Wb+HkGs+OuPZdAI/JhqinhiQplkpvGeMJ+/CqtX7a7 PfWFWljJuXpEr169TzJBqrc4jtagEPZE8jcwkY/tzZwO/mWPdBcAS8M3TW+NL0kJKqjQ+0LwgN8U4ad4 Z09c5VK861kXsUAgMMTqzQMl9jEOvB8CfTavCIUJpisEPo9vViT7HSSVXn09e9HJfrL/9BdUx8Rg/1kz si69xxVqbwbNzBk7sPgAynIEh8hITypbdWywJ2JxsP0N/dMpoxO+szBh5bM2Qx3ezbXRwZjNGo7GwUoa +4MDVeJOUBQ8tmclWuwEKT/lB8oay6lr+F/YkUYd21mwgIS/Vul6xLwMHQssV0+cJjNjgifnwHkXkkjv Jce8s5iNYX/HQPdV1QQ99zUpShfiwPvZSkdBjTqMa496zOkBp/o4pfjTNqlmYTZu7UwEojgBs4qjAoLa 2rstO4NSpFnDXdhKQTsn6sVJfBbILp2WrafQDZ1L8/agiEQYfNymOn7KaIHtHbZclRgzp0FPRA5kbjUb NBbMzJM56RriljAUZzhj8pA9A7vFseeCSjXM/Na7JuGHJAhWJi2SxzOWrN5b2mySAR8b8GXgLSfSclfK yndYzZ3E3Y1Jay1NIQfAt45lzgDzughuUfJ2U+WT9rfCjckA+1jvFq4GrGmOGSfG9XpCH0LBGAVe40Yz 4nZ1rUTPm5T52rrTfvj0HJ+HL9zn0wi4sHm02pl1bOnXFyJad28shAUXaGLA7LE+X9VR8uHLryuBdT4x 96x9xvrbX2c/lUkhUi9JFSauABnW3CK+veL/66IR0kodpuUKJgn1jVmMFkNqWjijVSxK/aKipJtkf3Cs 2EjQxQ9ItyoS/7p1BEY43szPyI59Adz4Kpkf/+uHw/60eX5q9Xz1H4n24tTiJZytfq6EdUfz4IW6LXVg Xln3ZbRIrkICstF82vrw3k1ouYfvyiP0qTp7VGMfuWqFUbMzLi5NvtgcukhStCui6Z571FLk8w75xeBd mN6/HTdArq84f1UtXcAVV6yG7n3WggDVjcDx9bp6qpmOkpsTuvM6pnl0VBXwLAtRlaxF+MW4DsYGEx+T GIEIT2jpJRlhCmtCmJIebyoz2Y0d0mcGbTnNrMZRDjLX8YTzNOVvfWTHQjOkEA2nUK4BY6n14ZJFUt4S 0Vp0wcSvN2sFNRcSrGOiNn+sJPghT63xStNHv9dEYkMsp03nJ/G+u3DvZbcHTXK2WuI/+dBJw6fJs7e+ 73vdKBZ66H2FTZdGMHJ/jj5aLGSCpC4Fj8i1r+BVcewrJYy0MD6QGZvAHX/kSV8PvxcxRXKxGM/DDocw mrTG5RsWohQPXF4M3rL+oPLJo+Y1tw+0IwIpT0JUrHiCTDtrcrPTh3yRLXos9pHtDPW2odJKLjhNo4Vy PdNnyHSataVkNUJuRG7x0+ewYctdjAYABcZV9ljyTL/Ul70b2m3/RHQFEoLVcRMRaLFuQV8kDrTbVJEt wRIHboZXjBi8fmuC8BGHvYFSvaoZdC0DYI3demMWVHSsFkbxIfV5lM2DfXl8uEwAmNArzLzbI2k/YPkb ZNXBFLggZPij3BWgPV683A/ZnhRAz0lUY1n0TWJ+QmbJ2zETNueh5gsFOWh1BmQ1TuiyqXIyNYQ2yBBP jkLOFn6Kw1XXpwP67p/U8oXZK/5dbkEbNsVXRNqTkFoOQ7K4AB+oKJmn0wRzWjhLvm1KljPs0PO645hn eNWxGjlKqMfiAieg2r0BBggv7dNcdR80kv4zu/6k6xaHJVEaRb5ug4vJwTZpT8eOh5thdM7m1kvQZqee 2zdmFtwsUxi+3gKYkOovz3Znk3YavY6pVGFbx2C0eWtkH5cex2upfU6KZEE0UrYf05uBFltPPhRr9vjT M9m751KnMQdleFNruqchqi6iwDjYbVHXrLE0NiSg4cyrZSAp8DOV7s6/BWkBTUqk/xlbb/y/TK762iSf A+u22cwFgQf1StMmOIl8RyftJwyiPTPjvdSCzEY3J+Ro2Qtq8Hz+b1uGmo6J6ZKWuUto0uBLW7QHgBQS osnzmV6K4Mwzr8OTfshBZJfR+OpTiBhzpO61Fd/RI41WVQVOtcUJ4M7SIT2IXgkqEUsjK/FVTzd2XvDk F7lJzSOtmOJYcvPpM+Ls/SOdjTw7MjS0pJyX344L64oXCd/CKuQ9wPmkz4+/qnLLDUySkfIviHffRf9L oUm9DW1YRonkmcdwOCKNo05PDCafeuH2Yaiftk43yhmyHWUeVhvbtW76qiWMgcxcC24FZc7c2T4wb+/0 TvYV3sR707/Qlbr+KwgZI4e1hMxe2cvukfxyyD6X2f5uah7bWj78IuI5hk+LTFzGopL3kzptVQ/WmJbO GG4jkUOHkLRzEUWQF3J/NGAnqxJ1jF0dmokPj8fAKtlyhVsQudzxR4VfFuL6YPx7czuqL3/UPMwsK7qP YgpNwG70+JRHNP7ObG+1yUHc8ZB2KZhLHS9WzSmxpR5pKChB9vonXXE6etGHR5c/m1S/n1p6/wXNcWVw mXhdEVK/X5yc/j68XPyalGA+SpAKsQxzm162HHtiymB46IGhe2al5lldThbuX8hgMRfj2LPkhjhowkk1 /ZD9MoEgxVfIL1pDrPD3Qp1nLwAzw+c6oSs9i6xXOtVChplGTBJ5p+EWxPOyZYutwdzgyIPoVsi6No1L Ml1VBxNd7BtKPqNMtKjuKRuhLmNPSRKjcHwHzuBOW4XSXbqk6iIxOE4KY1aO3Nnf9HDdt8sWiXuOvCu7 IXYRp7qAYQWrYIw/wy7LaU8iZY8fZQmZojp8rF4d8ElovNLdkF4tj0TcGW+SrDEfuU/RmTEnQoFAxJtU y2WbHe7B/X16DZ8NDy3szNFWKzq7doztCaAL9fZBx+TsnvmhRZYABjGC5nyew87rvdyavKPS6KiWbYe/ yqiE91KGUuImFsyRVT4s3SGt4CNc7jV67J1Sl3fYPF0EutWU5DWxeOZ7NlHKI0kt1TWzuOirva/OaPXq AcwHB4sJYynwCpkVYtmmrGSCnp96QI3iiSiD1tX3S2zSbqgMmb+YjdPiZyiPF/YNfYJoRSGdQGZcGjob iFecqS+t0ROop9sgbPhjuQa2RpXGqRhP+JCUz4sk4P83c93K9yO2Xif04tqMXO7FvB55n/oMKZeJ4fsd aU4/KGAwOLvXGhG7vm8ol1CFaJu5D/Vog/lpJUSgQVqDrO9aYy4ILnOhBI9PByeE0FFBQGUo0+F0zNpw joaMF8Ku8OsgF6ZfNBzFn5yHVFGlgvGr2NHsWObeaqj9tcGHEGMNaqLej0uLwEUrYv/m4/YPQy10qZMF gxr2C4cXIHqMSsm0JGb35UWWSV4F1Z9ko7Z8S6+/JKZEwsgXzY3hrQqaL72ckU7hi54GBfWgy92cFpKE c1LuzdGBcDes4Pnp2UTK/6Gr9uOmg0eGsjzFxC8Pngadt9tjuMWbNYnt9viV9VT05HfDJaWOjJRd4TJl HqNYWJK4GJw60XpxcOkDmjuPeCNLUdjilGuiyVlHADzhCH50z7LfeYWWKogKLK1bLzbZS3clUdmYTskj xOd6pwts4AWV6+MZKxWY9hh0nZ4UqIkA0LkweVSEq0BdFfXuqsa03TQj5TPxXqYtmo3IVVPYLLuCwuG9 Okewx7CrVC9GWD1ZkLnHttc+24gVudTC9Id2rUk26NMzpWkwXsmGFBR2sGyLBa9n7baJXzunegzYTveN wFgZebtPZ3NJW/NQw5WgbmWvj3yzkr+MHvAeLojixp9S5878kijxBXNf/wHD2h24nupbz4bTeOV/rbt6 5HpaQNJOh9fujQL60OpJnLhvyx5vqdUcKlC1EKjZ/6ewPRWbZ4lQhSGKH+4K2bJ6ErjoDVAS1jF6XnHV omry0zMZyz5bJ/ohCaTTax8idbMTyUWNO637ucFsiKCX9WndfsYQOM6ShWtaV3SERr2Yfb4HBHAsxS7q OusItJOnZMWvps1IBuhdqNuFqIqzAsFvYHcuZ/59aAfqrqusBX+iytdZrz7gppyTJMoWuGWkcZYNsBUg bWRMvL2/I2yt53Muvb0w/xVW05J3AHGqkiDeW0NoK/+cUP9J1BOwpgZoCBaj7p8xPAV5e5yH2K0zb2Ut 5z5rOYCpuco9viNtmIQMLsOB2Os4ZNja2XsNXP6jqLk2+ORqTc2mtdPLNwjcQ1QgfOG4BAsvYdMRFgGw h1d1LWXbMLhLmUYMOUkUk+Ao06b8Ul68m6nPJHBS+n3vWFzmGstZTLWrba9YaCaoOEQZStVZ8pKYrpUL g5d9G+sEXvVXmX1R9ix4KBLsBOenNbYUp6iEK1Hue3NxNAVDMfedhBsfdf7gKw23Ep0sK5anKDsFtiv9 +6iriyv0SvKHXfk7xNpuQWiqLd19NnGUHOkpQLGTLrGmVRi0Eg+s8inkrxLokBTQsWNA9JFauHVp+3qx 1b9pWx1aaZBukNHxtXgulpO3jjS5i8mj5lc9lGTkcYZ1IP7zJ6FmLBO6VJ2++en5XPglWsavWDtTsM4U UIosZJJeVgnGs0XfNayLL2sxPBbNLBLEZ2tz+V5Or57edQEzfLmH4lxnSnuCZ/VMlWGljeJLBSVlPOIC tjjG8j54TYHijFtzS2J/Yuty+fVf6tzw0nTMaInlUrvd70a5ITtn3/OvDo88e1zpj+GB0J0Goui/miRB wDva3owun7gYAN4nEQcXty4DC3G1Oj0wQuTe9dYMov7t8K0JdANgwNDQnmpjl1yR0mzcBB8jykbiWJPS epBx0uFottQjBAhEaUrZYWMBKZpGyesj9sEqr6se6pwmCWi0NmX67FXnak4B52FM6g6qybB1Q6pyZzY9 RC8xnMbgqVvx8UK9+5cvCMAe8FR19C9jjWVWNZV3JkhqeGSC+MLQD1Qjs8748tlce0H+MDEvjfdEJzHv IT+H8Ejqa3Ac3OUZXCzT0/iXBTxTJrYx2osCot6AzIM8W+7Fv+yJVLhwNAvNsSLOZa9fRSYYINCwTdgp M+tn8+6LML+PWUdKyvT6RWfpBH1dObS0dFlLhuP4VFeeFD24YT+9KAVLXuNT0Nm6F950MkFvyVPJcuvf 9++RVMqwYU+wXRiw1DimSIRhCq9CK4J2/K1vuQ+Y8Zgyqa3QiYdlf7TPX2zCrkZA98dQhbrsAW18d6r+ lRnW3yIMx4bDwYydcgEXV44nGL2SW6M+kIii6ABt7bCKdBEPipteKXthLMLTSDvjAc7y6ugry1JMVJvw 8p25hJUIylWEfryHdBUf6nHPgp9ExL83euRElE6tvX8PrhvxUolrkNoK/WU+HZKtImNspM+EYiJjq3fL LlEvwIfoQK9jmHiXRHYjCB+NnN5CmiOuTtlUgvegTjluLr3L2JT4roa8802QFBraFrs5uU3SqCCxV3Ic a+u5XZl0PutuPVcyqfgLANpMERy9Q5Yek3eLpK6RjbfKh++QoXmg7UunPaqDRpbJfmrcadMcJ6bHnhxa LOmJ19GsZamtauo9XUnreMfBZVoO86MrVd18c2rI5+OMmb3zGSJNJ9JbJYWFSpg68b8p1FXtnPC6ayuy dn8ts51Ce8VPGP9TQNtXPU1NiKHqi15b1XKcBl9GhChtnO0ZlHDdnR7DC70lCQhSM92Y0qhpneabymPq ozYKvrccHGvvA9QyjnCRQlJvHhDMnO3Y/KjzBFFSXzUcikASRrq/3+NseZs0kVnMRcof134fMU9/jL8u XybAJldtbJq8UW+HuMc/luROOCbds34M+1FPrMQYqzlSqk3BXYuVpEo4svp9Al6tep5AOeT0ba1QdRhw grX1s4EUAAFdQNDJkU2lgWezLI7MXzvlOZKFJ56GhlqdmQ5P/isKCmily9HMasv5ENLlkA8HIlOMtJti 2hmx19bGeomwJOOYtsXXPDojJeInWCSw+s6JkUXwSURdcjnfKIiQm7yfzdVp3IuSAI+tZP8MgYHtZ0kn TyNjsqgHNSQfRn8Ms20VJl3qMs7uJwcokBp5Qs71Cts+2XIkC9uWnBEleFBW2tosDYP+4IxuHPNTE1uA dmdx/BK+EASqBSSmTXQ2fuZ9xtxu5oqnf/HZk/RTB76MhJ0f6YXiKMiJCoOQy2XifgDFcHrQCJjqF9Mf Z5c/Tn7qhTz7r5v1px4vSrLFgBToNGDyv74bNJS5Qcbilq4t3HnjZkYhd/m3aXK+lKnnZ1O+/4InYXtu spk717iNZZ/tbFgQAkiRONWkrlqP3ZOtXvsYwfCkVxXUh4TTgkMGKgRXAEIoXwV8Pz2frK7KefYcKhcN 79imWPf7k3kmuuTbQJGk5O5aEkYW0NuxrJrwDwtzfEU3/qvl1p+0TPEpeLUKs5iADY2poDeilbkmBJ65 EKxRaraWQhRmUt4ddcyRtMg7q1qK3AwYp4/0mClhDY2c9crG7Nxle6hlVgoJwNMLIZmmsuZsB8dmu8eR p/lPMRIGpJUIpUzjg+ma5XBTv8ZYn8cdGVnixtMkUpqcKMJaxWJxGHmIwywJTPLIDcJu62qsNIJxM2uN XlwJxmbuEOUb/j4CY+jVXWaql+myMuVUrWMdJZ66+97Wvsg3gsybyWrFhcP0NWWclljOkTLHMSkax12m OpDiycSjU64XTH8QXDrMCTq6nwDUOjSt8hT3WaLIrRnOAfnPpSXA9JKuT6xv0l0zKjiQzvsJcSV+88Fx 900q0bbw5d5RK3V89RdZpwKdbuHT7faxSrreM13c7NCapOd9Zf3GG91XYwg02n3RLOcfEK0L2FEXdHPW n5DFX5qBgeQB+FUTUY4CnNKMOk4pmkbaSovIU5GyYCnh0cYYEgS54Qge+/qDgnOG4IJyWSReuk17kCa1 byP9STqZn/xyDW48q8d6HkSFQCWdib+j0gptIeUDtAZsLV2s912iqCQQNZwYte5/bECVuLODrO1DGY0e c8oSIONCszZl9yy9DCdirrWJH/iyZN/qCgheXK/gdtLK1syU8TxQabi3PLvj0qS4jeDbPsHXbhDSesMS aeaR6GYMeak0FjHgTh9ibDwxjfiMLz9jmjzz2Ho4IIEujZOpNuXKDYnn+7PbKtdyxrjBfovxq4grk8CT oKKfAALy2p+YXTzSxEyz9lYj3NV6j+ZF92S1aa8mWnKqxjd3R8eiAZK6X8sMpTd6kK4DTLi/8pWK9c79 KPNk81d6+HTam8ubfwh6+o6vVDtXqFJa4VCjFRVKj6Zm58LiKRZ6Ps+SWw2uNz4DnIn7NQIK8lw5Vy/Q HrzFU+QTpGmdFW03EeeSSgMYkhfj8DKhtXdcKLcLMLjXR1vktA2a/644KY/Fast8201YS5gdGp+fuUST HbW3SQNiYyQgyOZ5Zr9lGh3FHdPdmxojZBHjV7IDV5jykw0ez2kbRUXn53khcMd0cKleY7kCZK4J/TLo TupOVH0lZrM8g7qw6qOr/EAiM6j75NlVVox5m3fhzKoIOZ6uBccXz5tjnZf4p0wk99Blr8+BdStNfnHk AZl7lnjcOBTUW6oI92PG4S472R2Anepskoyn6/bKNRchzgJVJF0bmXR3ZI+CNxMX6M/8o0SU0QoUCztB wZMm3DtabCd//1+8XRLfqq2t6xkNvfkzTEFKwqgAA3blR5vixgIitoBSxkXliahYe1AVMJjahwm8g3+5 dObmF+JqaRYRWMQOd8uIB9tOeg3izvVnbOB2R863fRO+ziDyZu+z8BFtqev/LvyDVWocPLIaR1tQe5b8 YYrgRAVYrwVJRm3VEL/gz2MSbhK+tpZEe9ADyTM3VPWsExb5Vvzy+L9kvd4w/n6hE3v/hVUAKgjkY5Ih VFwVcwL7Xv9XBsoTVvygUEFRnaKE/GANvctcMN58XJp3XCKxe98z1CTQ4v1JdyD8C5W9br19Wq2ax7rF 7ap7n54HpQ16NMs7zydDj4u6XDXcYDiRJ500w3f5EH113wfw9b2kYtzXPjRoQD2ZHlVzChU7UWqamh8u 1T73WMpPVbax/NSZdgTb/CS3E0ZjrENJf9KnmlETRcKps+fi+risBzFMhk6bhAqmBvF5YqG2gd0VNP27 A5B1h8+DCMWkGO2HScIBjf7hJ+107h1LV+zYO7ptpbhowEh89rwSFt8hAHRvN9x09EtTdCMGFumDIGxL a89AX2qXDmi0j7dBWH4p8hvvftEPYC/uOSOriJ8r3AYDN/xnK0m+EbvxZ+0DHOt4INYS647FHrDBsQGm Dnl9eqAzKCLG4h9MYRLaUoCMKAjhY0/QCn1sppvvpblNmaa7HM8f/dwcAS6b8QaI6c4sCI787uVMDeat aabT5VK8wPBFUX1IYqXqHXVzQKfKZ5msSm4XG30b09w5xQ3yS1DRyGX0ksXnrpwbQrm4UTwvpa5CUATm NGm4eJK0EMql2+xlRMb1QQHQTRRDa/ebJ40NVE0/O3nkWeVkfk+QXE1Uc3fXgQCfO6unJdPsXBavfgZR vAMKKBJIfEdDVRIiAsTem9qaiTAvyfvqOFF+UHp+a0Rs0O0y7vit5b99gj8nDB5hJgxZUDHeVO/719AY 8W0KMOViN5+J4iuPHkqQFeI9y2ZFnsz+7tsb6+5P3DgwS1susRH+jL1tR+RQDS6HYSny9AKq3h+jJH3F fODoPecOR2NQQhXxXG3JQaaNtno/sG4aHUbfCBr4DtKzPp1B2rWB2+M4U6rXDBDbO+Mcd3OkPKwy+853 mEO+yFn70CVilufzUQSXcQKh8ZlXlVXoVzRUArudKhVOT7V1T4mZsLPhkhiN8ucSm4ufEoXmAKiFhFWA fC76oUgWQNfDYktWjZBnzxN+S50MBosidr/5dfVm1xKOi4pbu3lRNLzEUQE8QkY3nLSy/kcgSL1iyjFb lRYmUE4JalQMtn4HC5UWzMztL9lGcFrnIQkJL+hJFMG4z25ym/JM8QplLJdVJMDaL2/U0GDppPdeF8/t xcMbHkT12zwoeKQQBz8Uo+lHKZyQnQbiyCkHvlUnBRQ/gGN7DC1uhooCK+8EiUJ/w7VHcCtmFahBU4CM j9Wj327ryo1PBc6KecM6JoThEb5GvFap0+hgRkhfyNrnH8wILyTXxvq9w8MhPQcNYz2lBcMNyZObkhO+ HeLfvneDbLyz2q9m88N44Bv5Eo13+bBkNveUXvDhH9aX+TkajkRmc9F5pfqJwWx6/KZqwB9z4h7TF8sS Xp9LyazWpUqnCmmnnrI669LNyOiSNE1dMFcZMpuSxZC6EndjRZeVGOP0b4kVTBB91GkjmJSuyQzjGs/u UyKRafUdBlfvbvCsi/v+9cbEOzRo6bcXuU++tsw2zAzTx9UOxgpVXkQF02z72Ofh+MILblJQl54twE7q GfnhMAsTtAnm2C3yutPEUqEBAGQMQrCqWI9fqcV/nmmlyvXMhOOmRCqA4wcT71f5khAZhjDNbwvljBZc 1XwdmfdcZ6KTADtVCwgVYUAitwlOPEmvYFE0I0zpYjrH7U2kirmsbS7YFpPT5ML7AlKVgpV17pPbb30p g3VWgC+K3UmcS08an2FkvoWhmE0/j/rCGT33bt2K2U3dPdJaW/NNthfcYM7Q1VE8GuTLN82U54bYFExS kOBtcdFRLNsEzzBWQH9XeHUMzsCT+EVn+WdtUPU338QmvwEyb3FGNjWnHHakk0TQtVft5ptJr6cdcXWN +5Z370Nd5OOZVoeP+W71QcG+WFvbf724d4BmjWATd9TqzT6fceSafZXhw0OU5rQewVhqQSOhQkrYuRdE Wa7wDrNSeyupqoqH1gA/PdJZQ6Jakk6W836KLjz7BKgvAiIBVrADNG8KIXloSWlyfg+5LeSzWd7HLj51 san/DS/AMFdmYxOCd4CPasvmco+ON9MDdpCwiyb0PGiWKoV9udgeQISnFgp84oMvomuIxYf3emhFZAXO sHUgy7T5h2s7gzxMoASYPNha0RWEsWZu8jxdy7d8M4mmcD98udOh7/ev8bPLipl7tsREoXQX7JIvntQI 23/OM1rj91NtQd8NcqrFbKtTLdIzo6V1sQ/uSz8m25H3o6aQv/bFJftAhWEXqjMUv5PdN9S8V6aGJXYG Q4hm7Aq3L4/L94pWLxGmok8+WBubEBu53/xCGtlZXYn6mkO2RbRcP2YVom5H+CdfVZyemaxDczDf7BEV CIm99uGPJHs75p7XnfQTQEReO8ee8KdPPFdk3o3/r0ImoETpp+O0tITsCAHnVysf1/X2WfJWCU5tRusw +fWWFxJIjbgusXtHHgbqOVnntvekDcsSJ///rjaN2h0ov0mz5fht9MAjRjURkz2A0CHoO5lc/J3B5g2W NIpGcoFxL4D2lig5MYFSQEGeX1WQZHH5+oUYLVZvZjtUYz1+r2N+E5szPjdwankTD0uoo+4FJITQLmYt O46ZRVIY8wUzyPv9GkK6tRThBD6q0C3XwdkSqcjbKh3oCpVYpSC3WyObZrVQOTjM3OVDdgTPI3UAQlNi uY3aK67BiwCHQqmyhY/DwIruveIKV5pW+Qa14j4MTtncJJM1iuxDefvNHilPLZnXQKi/fd6PESfmkJkd tuPdiuYthCNsBH/F8VkOko39mAYWX0ogrUPdEQwdCy6niXILC6GhficLL37GIhtbXiwSxUaaunyyJ/JV gGNAsVZMNYy5FPJXdhiXCaB/dEQHroEzEeo4MIiSX73To4gxeam3i1pNISAI79eUBmnSeqXISLdrXCUS hsScxfyrajPm7l3DopjWRvpb36HYf3R3mAiP2SGmuP5+sRrv8TKnYiSpEbGmbDCiT3H9Q3e9O3r9Y7IS JhKUCD/hB8HvEVwjzz1F0rhObgKL/gBxW8bXKrrDVQxU7JLx6Anzw3kP7SgTa3P+Bf94e899N2htcyZF mvy0sWax6P733jBtR+wL3ShOysvbKemHP5oKQGragHfJPpoV8jOuAu41IFRb2AJn+k/FCd9HrCzEJvof 1M7AwthPTUcB8jofKgO1Apn7PhNKkNUtta5KLoWKgzJfevNRR/VOCULBKyK8c2q0rZMYwuphlWuW5XCd 7E7uRooDxShnMRmkxKzR1Sck7OkEk+buyr2+eTsuRRaOtcFjepKDm63IUYN88fwdPPVE/X1+poJAlmnr gMNddLu+Z6QZWT26f93hJ7CQTouZhxovEg1yqpDxRbrBXxbX02aAdCPKS30p/hc009ZT/DHPyAY5pLlK /kYmO65rPnkJb05u3+fZrNIaHJPo9JtOvX983Brqg2uvRF9QbCJx6R2H/SPfGTpRw8aXxY28Ox7wKjlo 6dLt99mjGEEd440XX/Akf6NatNYCEe96sdZC/u2L6/CzTHoThRhUPg0kbFnL9zhJf33eI7s1dC8MKvrt 5Hc+6CmGDaoiV7ksedw/ashj86JVXWQBK9mtzicE2ZGjByfKLscpAoX7Pf3XonYHebUUeaFE/nQpV/u4 +jCqFS6MK9XLcARst9qRV95cbH1TdlptZsvNfsTmHNTj8ifZz0MNRSojwjg/25wm4szJMGFKhGiYc9zx fWdtpgn+2slmOqb5ar4HvcK47PvTZh5ohuJN0n4vkrjxNyqTvibj8LzoUMEGjNWZORXKSd/JF7BzqVht bN2P6cvZ571xavgPpJl1vLrLQCn1HsI2nQ6hvvgeqGj4XbMXhwqz+LrMCS8sGkM69bO9tipwVcgZGtde oimI4wylpUU6mJuYJ/P7G36pmCZZt9QfQn4hGSrpMbkfjDwz4dy+MCuRqNMLtAmT5qgv0qopQo8j38VY U6y2CRwI+Ct9CM/U7ShRxsFbDEeX5Ac7A6OiNF3qXPFxh4YJOkcBfiPa9NkMmBhCX+JCB/4S4i88js34 UuZYpPNsFEvEATuzFQ6zii60UmvY5KgxaqaYbK8XTk3DziGvzIH8jRS0A+zN2ArbrppHiX5/tqHN4uCM v85+hqHklxudDrrnZ2NZM4MqE/bBbges4aCztl4F5ZTwmMRsam45XZ2q4Zc5mFVrOrxrqFkK/CJGPCiY QjSVOPO7tLaEEDs68Lg4NES8wePs0zbb2tuTxV8QryoF6zzGM/MoQAQjgH0SOdAQOTJZk4+kkBpLKzo7 /SzU/soms1Ba5FWuyBqb4lC2pLILgLMosIWZmT/8yruogrJeEEWagYcz6UzVOxLCSbM24PUNZ3a0kDog zPRM5FutolBDEnSFZ2IqD7oduqiFT7QgB3Btd/ABf0lzavmmFFmGOI+rR+uWe0M9q6bE9lMp7no7zIPs IUx6f7CuDYJj0wLUXM5r4max2icSSkMh4H81SvSTmY3VgVkdXrw/lAOFPJkL3L9FjkakY6WuVS3WWxzV nU5kH50MBb6wMJEARx2h4MgCh87cbBMth7PUF6KgXhBXDvFEDdHswYRhehRKoHCpLfJMZ0JDuxSI++f0 y8Zvn8LIurE+MDcFdW7FzSuTpzo/3SV4xJnWN8KAMAQ4PaW7AxR1Y/JVJfFtQjusLSF8phy1ZoRNvbXZ D7MjC5MHlMvO9UkRxPb6PPR9AAPcy4a1Uh9Ksyix905exSM41tBTOS5x+Pu7bUZkvfOV7L16HLcd4KXQ g3o9pDM+ctmu569SofeR5netFTu7wKqP3Xa3OStxRh8V31mMjj5ivGeiSBv6JBeuRtb+oJXUn7hwiyNE j6/8uzHs2RgvRtCkrUMCjTEGlQC8bwCHgmWxJuqWPfBGDrcXCHNYn2CeOxzF/IkDVAa/7CGUUML6cXMA 51SKzXP5U8YXZBxEJ4yYjq1aadZEdRNi1LZdeXJ9lNAAIMpAESkUKodN1dRZ0A1K23YV+bvO5elrwDOt MA+CSbkvxqsOrd1Bb8lxqAa0nobwDO1FuBGWlyYp3PQaYgtRVA4BlGEb+bzudjo9epSlU+vJ/GYxpKP5 vlk/FQpMvzwtGxhvUKhZmmRY1bL+m7+HJFG/JoFHpgiNu3pyS8M9/iHczwL8/mEh9HC92eBWPEhfHPer o7qfyowL3DfoKQnqag54vxoBvfgLbvieP2eIufDfFDmLSa3llcpkM4wCkfO3RNlgIDKiA+VFbX3Ej2wn xr7HcIDyohDB07jlkobSZLKKAenqKSZn5MXnbo0j1Mi3nidkKiYQ3npiGDCBOEnKGqhKWMkvcmfSolqx Se6qNi8ZblEFwce2BIF0wAHafjpyWrY0bPs93+rimemTHGZM4PHP7QI2FQpY5TqfaHz2ceEOvYpsS9z3 0uhwh9fUMjH6qoBgE9GUkdGlKbUbecXNWLQ/TpSMdFsQFMgE/kleF77/2PiQChTImSgCOSqaL4h8E2on nGKDUbnCRKuRId9CxOY+DObrJGuTFcWu4exC17N5MjtXuqfzzqA7Z0rjDhHD0cnVXQYYzxLzT6zAdLz4 kdSkFYFe54nlfSIfx3f9ildBCg4XwUfrFPAvmYL7MxsyouBxnkfmlKc470EgAiyJPSa5NbW8r8+Winug arG9VV/GokqrygjauPtgiYcTUsqKwOsII0LxxjC8ZmAlmucf+4S5xldcwMcFncem7XZ5fBB2k7TdRO4d G8Jj6CglYLdVfC7Z4lnUeS6XbuhsgodX/9YDROdfhZbyszaoLPgPXoNsasyLS/RjKfor8bHu6akvQ32Z ad/p0dxrTNPvRnAxkqFp5jnfMgJUD0K0xpcyxChMv8fgCJUh+5K//7qMhkN6/dJ5g0Xw71S5bw1XUb2j ZtbtZ7lVEOyOYWoyVEX8/+QbEJgv6v9oOrX4UFnJNQj525Vk3b3rYbLIdSC9L1pCXuwseqwThdBkF5P8 R4fcv6EU64Syk6/IKxOOSRqBSBLH30lYeYcAsLZuf7ZbDPjpl4HpTNDaYJXcIoN/YJx7/NENk47PM0Ct sHjhQK2L1s5/8E/W3IDaefSLqSnbh8xO+q2iWDC6qpQFf9sfm2K7oaSX53BJI7xniqPlNe8JZ9jz3u3P dVA4ZvT6FkjVF0KB14XrPV3+7wQk4FNEH9YMVykE8YOPlH+57sVjrzqcu5hresyrigHU1abyNflDIVLE u1PD1mUsmzGZe5Q8mS/wjrVa3lsc3o3UsuXO85hHojQhBKpzgaolAagL7u/p1ZUyBTNqhrcF54zEU3WA 5lJDyI3JfmMeLjL7f1ymq7H/uNXiF4zBfAepRaEJXbHlbeWWv2MNC6FNJdqB6+Dw/Dqwm5Uoz1+tLCpq NjXhA/BmD35JU36n0e6laiyss9sKCDnd5+eNCYeByas63QW8f/E9CDqVq0GvS7Fa2LX8GdT5VYJu4OKq lWzcVutL3G8RdIg/95/dgV3NVhsk0UBj11AtoDswxQfUISC49n4lsspyGdhjhaZSI4wJarKL1r/z6Sqn b1csID8Th0FeU4APT9llkq0RteCY43Lp5RhlKPmkZEg3ef9iRPEvE67FA0WmzIANgCh9gEKgb/25A5TW n0bhd+0K2RHwdn1s7fXZkPyXyiv6kuKWihn/XdHpS+aR7a6AJar1Wkj9yxk1HEr0C/xbvzoz/GVof0Iv paebQECIrfmaAyktjIQlUXpASPzdij/wtYRH4tspwc1O9q3O6Y68aGpWmkskbvB8zbt+llsePMdzR2I0 ILD2pSdYOzoOMV1dhFA79zMCLcaL8XXEWytiWLKQGKiuwV7PD3U6/xZgnp22/nMUjCBfZEFPdvkq5/oS 19k9hT563vmLASLEE59BIVTTQgmvhBEFqxddhKVsT20XhJfmovxUtYFuzbhZVZAyWW47ZBCgbilfRT3e 4EfMwGDnkMRkla9ssQls2NY9fg81UiXsvLfZjkjyTYDzv5Brjpp1vC4SMQqp6hfaHI5kkqoVIP092keP OoQYYhWRkHJgsMFrvSA0InAhaBdoao44L3a7PJtc5uJ5nUvm3StpkpVlH6LQmoyLa0RiFNACI0SC1ef0 dxhdOXjGVcJF9H5y3B4ocTDGICBVvX4v4VRLjaN5g5IZ8jtt5ipXhqaIUd4GR0uAmR2Cai7khXxUxt52 PKq0FEbsNvSvvxWdxaMDg6s573KqNb+//vD4DzqUA29M3Atq/D2ZZfrvPtDXH3nUgW8oKiTxaiYS/iG0 DFkYVthSKn/G73PEyI6VcAqmgWJD9H/2GXN1UfXX/fhdoQQiL7GCvCmKgxxNhyD2/OagQ9QAkItSWGRe +2CJCmr8MJ3MLtgl2O5bYXVD+TJo/8i0pBIvqGM1TsCOlAoTf2gvF/eljOTOq//Ej1Z1l6i3b7vyr/8n YA+jfCc5Yl/qHaY4lsurjWDzQZkAFHZ01rAbZvFOfokwykgKuyvior2qI8ns8yXwqiIIHo6YeMnwt2jA Xc6rfn/+m4X0jm7Bvg36boev60nz9AirOMAXAjxAC/oozHKE+ssMslqZJPFU6gqjm5ZkaFzSVeOhRhoX bnTJHugx/ITAoA0D7BarilFXZ0zc/tZf18Ke4HHUef0t9IvKAGzb0M6LMgi5Y2IBuxCVmhy3Mtp9SBeL GHng2txFFZAT4/LDHbWaWP2Y1EbVBy+lPXAjTrhUyJdDs/gWXmp6dGKkPKr9+7dwmwCFBl+ppsNVKz4c +vR0dK9yjx8w9Nvh3FfwWbaoWC+K74wx0E637yr939VjLQrnmfM2018YV7ckp4LN5sRZwYBm2BcSNCky Z/33vOyLbpSIk17Vdda8sqxn2OHHGCXC9130Z2SNeKROFKZ9ogCbsBOT8tEzQYdzGUlyNqfzurHcWbmb /DEOa+gCw/sYsNJ+yDnIPuge5B7dmZlbcatwRuNWnT1qpe0ZSz7G3zys2OSi/gQzk3RRVKdL73Ogn3+p C6qDveY0B+zA3fuFGm8Y6w5kZ+f5VOInInbCt7nhycICyECt1sZNg2+6UuRvWFlj0/f5PpxjbU9AhQMa 4dBD7nglGYFKoe8KbIge52z7pvru1kzTcMpljir+SLZBHT4TjA9VJuuVVzp9ZnmIM/uVKLMHb+jEyvUt ijc4b8Hvm48sAydOaUOSpdyUxTsZKhtOr6PK2U+YhhUEJAsAhimUQeOrFe3WNhuG/eTojLO0RDBEA1Mn +9I14+gbZMqoA9v2gqoF33DafgwfXB5MDfd5h7LtevYOrlAjWqBjy59ijHjZAfgYIlfUDlBDJZxWJ3XH 9Ttrh83aHXXA8BDDoumLaVCitIBcK4rLjfYEhNrE2Vz23UrVdRwUL854nWtBHvFD6zCRlKkbHrHPLK+G sitznN8jyj9t+IDRkQzm/La/ms60GdjHS8WqXEqFkgQCHeqd0FUKhxymmfKDKemgttu3NtIwNILdq+qa EGgiU5O9w8RTUy/Wtq1sylY20NX6d3NEWHFt1jtPvXIqXa5s+QmTB3wsluCSwXVfUYFfEuPijIeXWchz wQthXhUEIAjnFJwhXTSMeMM4YCxILyJVR2BP1J512fi2lVMT7yF4KTAanqgGWuEU0LNuwsgZhkqN7Vxl 0xhNrj25P3jXQ6mAPjnPExU+vrOtW6hREEFJuQtKag86P+3EIji//3mAxWoZd2+ntdAsY8EOEnv9PDBz jytbcv0Zez+ebPqFIHbeJsNbYM0SFQrkmwnSSdGW/figZ/d5osmucxCAM0GaS1OCaSPtEp5uzglQ80bE iLg/4KGFVVc+viPfpGc3bgcy4zoydZa6t1eUH9daQxTa9g1PuYKBNpb7rjisnSrZSRTVAJG0BU50sL1O hEy3yHWruFvkHwybaMcHn4+j4yLOJnGvzw0lGmH/Vo8rBSgw9egMiQ/2YMiMbm6FDz7XsWFo13hsBZb0 k0YG/cHjZ7AX5wT5CQQiAslE15u0jEm42y8nt8qa4AZxe21nAp4KkD1jlujgHEh5aIFi5TTptVwG0ZZ1 P0oCel0F+4yYLzUM3r4q3/ZNz+nBmaLP2ZrlCCQeEN0ZBDWEiygXraSeEjg04cshjV6AiUojpbWe8AgV ple/27yXLHdiMgX4SHdVu5XuaQZskQ4/R01yZDvdvI1fgKVhhoNMtHGV5yMhwDy2l9APdAuEEVqTccwo yFm+6SiTR16moFBKiIpHf9fAfN/dQWVsi9T2Q54uDElu1Oa7l/l/hX4YlQrnylO4pvqqqwIPU9oW9AVv iwdBmu9qVqZtnZQmtplpK1yphL+km9KSUhfRX72Eq1o5+eR7oYBi9Y9pBTPzasjYs8tgMg27FqEjr4nw Llnd+mENjY2SIoVfO3X5cz4MI2R8S4Fm6q/NvgF6NvfC7srrFUDvopLhw1I5TRmUY6sRY+ACdfYVR3jY /u26ZLw2RH0gvDvw7c4kEZ4wK3iNzuTzAkZXidB8ViY6aHV6odnVkMWHE27TTqZD3UJ9NVC8zDbUTMNM WKJwrxv3phpAa+k0xZA+XlJ10dlsIA6it8WXF1s9mibWQZuVKAqi6UIMtbmYcJCItpfHV769XmOsWMBb e/iw+0qNrqTzPMp5YsdDgxw8wJqbeWVMFmMa7AYuyXGyZrOhB9Varf3qT/fpaE59OMTHNvNh44QzkKBe InoqxlxGv7h2UMklm3VGcpCIzJa8swa4GttJ1BipWYrP8JRHvqPUP1htAOTBbezLtKQ6qsSku8UqVdUP hDlRUgVJ4YqaCLzgNu5mrv/dDFizi/12YJ4S/bpI6PtoYI+M37Vd9kyb/1gQ+TaV+iJ2GaKY5a5QYWm5 sLerV+oO+X5y/CCCby5w7Lz7ahoGIOB3ZvAWSgIx8NNIg2bcdIWw+3LOiyvpx6EJvrrCEPPzmD4VYSdv 3FiEkliNRoXbK64m9+kuewLpc7rsf0Q9fIvxoAHLEEem4qHu0kaIfX36Lbcw2ocbnFLorXd44T5HDcLM ugdGFja6Z/tfZAetASCgqH7XHvf8brnPAdY8dtLsga4aiI+gf2vK1NxF3pEV093J0QNRSt/99W7iqs0m N2CloqHZ77wZMHfoOM2oWiLr5jZSyudwZyzP94QFzlknI7A/c7sb0pIqou/L+R4ydgdZz9HNPATPdFeM ta7T3keHg0GgQKe6jhCe1cW6zoG7GIXFL1rQnxMSRWZB0Lq6O6VbinkqKBct6m/q2KnAlFPBHqLfVlVK YGtVvifAFEiK/QxQhwk0CiRmtfu4PWvlCuSlVzWtdFiRuu2VW2H+aKTb6bqYTQsA0Mcx+N/wyq0+i2pz tfDmZNQyubXZbYsHdVhWdZK1Z1TdsEsbex1ElTe7sEiRA42DskFA3LnQj6h3E8P/EAo60/oPdv6fnnr2 P9LfxFf4EHVDLX3yO6YTGuvei3kPFiV0SPMGMoCBXli81kFiVWyC5NHWE22jNkGT/yie25vBuop5cy6G AGngUUIvk7mcYvdSSlVSHLyggRRlRT7+UTqbPshRI2iGBlJMp99LvGqM51Ph1FcQ0QOhHEFUXVfNU5q/ 33AvcKkiHMxs0Yswb10cPLMtq0ZviJCAduHeegXx9IFxM7aKs7RjEbbM+GGgx7Td2UbK5kkabnkmKB1W S0kAxoGg41wzG54LNIrNKw4vdqfTTbM8kkvsALj7H40K5sEc50jIRoGcYD20vCSZCtjrnFwH7P55nDgY Lyj4qM58Ay01sYvWRhxzO8wAK+lis9QtT6to0m9FMOrO6Xdu93OZ3ooHMQdclaHUwIaSQtv6C3FVZH3d E57JE/As3L4vOZGFhaNOt/YSWzb6nFC8gs2/fQjXF38Q4FbVtNMGuCPWYexU7FseWP81vWOUY/TmYwYN /+vtOQmhDBAcMEm69i+00yl/S+iKUQ6eC5C8m7+sBV+Z7nxy/vnmyLRXTHNr+dAMv7DYGHyW59GZFVRm RnjpjvxKJraYGQZvwOLsQhPYoLhE3wNvgiJoHWTCKYL7vlDwrL7PmHjn672WU/k7cVreZLcCNaZ5I5/n dBdQjKIG/WXzBrpXVCZTUBviGi/CDHQXnP3laAwPTs0tfy05t28rEejblt2ohr3teSWthE6h6Cyr46O/ nDondurOgj7g9pi4k3MA1qNhzo+i8qlH9FC89f0LJ1xCaQ7z+eqVLRM0xxBreyg3ZbljlDKcfzRFSytE gn+J9oFPmdSL/5zzpxwhlRSTgckGOJB6KOeQSYprLpCJvDm4GQHIdtOWFvtjcSZQmAi+6SrNG2zIAnLB xFBbMkEj1M5B6NdF72wbmKbX2jQ72gDHOJMedjLlRieYQU1zOWOvzKaqmFgDlspvNwCFafWHYyP0pgUj pBl2ACuHIOn0nnO4iBzPBjAq4P4H61gy19UsdpSCyS0YTOj9pVd0Qi+bmCQx/rrJyvzp2v/nqvnsuA+6 bj12K7QbKj1BiioiPEB1vqwIzb4/suKyoug+InX21jYYNWQCS1Wzxc0SGoRcP4FFXGWL838URjqFFcS6 O9Z7DpxTng89xj8RpNZ1v3caUtrjIYGVSYDbtH+JkkLN0Jc6okCODu+Xb/2FKqJPNSkhTL+40xA/Ryeq F3m3YGylY6AOCrvMRyFXxo+fM9hSjfmYO8RHIHfU1KU3+PGxsqcBneTQ5DB/4w37BICBJtqCeXx7elbY BjcBbDtntg1xb6qYsxGP4uCtWoOvMFkJDsV8vlan3N/ngOdMgNzTBKfAUfFnn8UAQHDdAaULxtTefvx/ 3/3VCyP8bEAi3Olf6S5ERxnn/+T8MatzAiwMU21gCkGgP2Vx5+yx9nLBXPHBA7J1P/CPcbTGtoX4sVfM F+lTxIteb2aeYKgbzjpL2wx369eX9nhmZAMl4RR6FXOLHlxEWgTJxh2fg377JHbbusTZOPwgrQQlFkh1 Ccgjp9L95uW3WooKhHZw4qgEqX6P4mVLzQ4ksjKDoqQw1lBXDGHY55wefU2QH2Kat4k/d1EEtpOEaNx9 53oIzsEdPKG8mq4qmz431mdUkrjzs37tZ5v+MC4dB8kLdICaB2phzc4CPeaH0MOG+b6WN+Ukw4v5LzMZ gKyX3Kq1Ig8DN+oIK2JYnMrsAzRMxM8v6lBPbBo9gPJ+9rr2hIoc6GBnflWhg4zLzut04TLOON0GFQ45 FqSO/1YvluJd4HPqsLY89yk8xk436NLPItLjfOLMjvZ4BYQw2x2YcZnTL3PYMYp95pcGjlURAHW33HYx gPLR8Ya2Q8Q92M4zpVDV4jZgZmhS9pnkP3MWsok2F3msUuJbuYeyMQl05vVrjySEphsVz3X711wcx634 FE1khlPQB2NXWoPI3MS6xI2RxU73rhaTV5CgwkaN0/sRUAnMPTt4GeV3jDOxZ15DoX+l8CurRNpyE1Rc nog5s4TX75RBdEPBC++IJP9ji4CUaHDtLvCZPZ3fwaAvWJqGJu6ZlAqHoFLgiYOMKDhz/+xs3wZlZlqz G+I2FBtTufqg6cj5xl0RCfxRHrQ52KegrucHSMT3TcBjEG4XRPs+s1UlOAtq1YOVVFgnSin7+DRgOAST bNSFdM5CCYGjtT+NVrSekpV3ZU1LpNxrFR6icn7pO8h6b0C36d7AxuA5QaNQe586xJeNZW/FalhGR7Pu xSXkibTj662DbrXqPCNBsCS+hldIXprUSDT1l5zaU7YqL9wzMTSriq5R5ytIRrrO1o24n3zcK9CaoH8m PIb2N3o0aIgzUFryLhnIYjVUK+z0+b+lwb5EIasyuapxmlameN6AIUwUwAhVVl+3Tq2iK7c6m67ISbqn BtGTpgNF20JxKREPUG9t4Hxd4ONN1P212CEqgXo6n0WFUe2ENg3qceBJslVptaNgp3+XVU8x1OAPIwMT dD97KexvFzvYMNT/VJyCJgohmE5LWWeRceXHs2wfqQIEIABrkYI48xdRBaNcx1CrOpO9tdw78fBDRHKT HOYuKxJXZS+itZLSoRNfPm7aEZoXZaS9GKrhYE2FYmJHEltQTVfYqCvr+IR3CG1jnx+NPLsrmYV/WWvI QbxCtB0AGXz9wVB1VCsbxwD3Wraeq0Ks2Y87WFfyRGpIwxgLSuoDfVFfOPSo6hBY2XJFsSQzGW+1mZ5h jtxeHFjv8Atxw7JgXHnElySzoBxzb74wWcHG1jhmR63hDzE+Ck7PkBFnQ2hvXySgWK7krtJzraMsQ02h a+s7gyDL8hFAc7Zn1UWQKX4Pqooi4oOs2rkRsyZkhyNZUv6MQzV3QlIbWH5X/6TRrrsDISL62WHZ/7A0 vn2oy/SVIXyVR0Aq+OvhNw9vC8lFs0XeGtz8yV3LlQFuznKE3xlq+flvq+GAWDDRLvugRrI7WMCcF9Jy w4ZCQ/n/aYxCM10FPHdn88Z6dktIm0geFIrkn6RVtd6huHn6TvH8yaC00ZZ8fJiru7yTzQ9wGHAEDl+l kHbbMepbAOOSs8KwbBZTTPEuJm1R590gAICjaVCZn68ezQofVnDFeYOolbzI9VFMh2u8k3+Oih6d17VC bV4ZHRQi6hjp4jjgv0g2q3eIwe356Hxnx+klgl9HXMhFTIg6r+8A766TvG3M/Qx3YsiNYoWtRKMeCYvG F2XVX8skg7siya8KCdONpOu8OKmws32XRWXIwANVswK0MsxYcp1SppynjtvfBoKMJtWQ8sL6O4cC3REC 0ml6paps5sR552Wl2yu8YNhYayWbBJgAzT6VvYFcg3GxN+sMY3foGmo0lcpKVEBgpuWSLjwQG9/xsQiG PMnMmjJLVXuTvdiyGbdoVwtH6kZ4uYtuQ8dNr993r8AYQjcxliTp+2P6Hp4AkviTsL5Yltmz3w9aUBhd NQ/P6TjYnI0FYgZq+drLf1ElFzkLYTqIkqIivnLKrE8Ctl63ZfsMg70ThGuLWx0aQkhS33se4mxpqKI1 L1Ok6ayFoQqF1+Oru1faGuUOZjGr+8I1PVAmT9TD/z3TCyBcZWHz9VKudXgSJu/5kqpQFVLfdQm8nDyT 7W4l949Hc7yE5gGYtiIEZXOBrGP4oYZcZr1XYklU1GAJCd6LlKhP4vvX2V4zUd+0Vjipb18zrb1YkY0Q UixC4Rs7ovfVVttOaI0pztwfJKLUJgQbgYU1DteO1jo0DcyBS1FRQT/eauNDFb0/G8jgVTAClOqBhZHn kpR4/Wu8RONvG70CNII9iDb+1mEUQ7CIJhftP9Y1iwP5IyTxhyE5ae9mwzWGPZVAlrZnoJPJM5Ze5N6s 2umPxoyjiem3Ax17LSg4KfVrUQeuJZqdXUqda3e3hXyASC81Db5fbSWWbvj1D5UNtBUAL/IyMLmdw9uq gH1LqnMZ3cCCPahVNT5HHiGWBsCMKI8C3Mi1hXsxqu74yj3wVGmW2vnyjI1MzksMbgtWHqaqnbPduXe2 2W4bwQ8Dsr3hwL6tTxBmiWcY5nUf04z5rcaBzKyfjBHry7wKfjpD9yUz9eZXHzXdxEIs3E+qbNUWwlC2 mT8/fTvJ8AamDeCSdiMZhBKcbrxKEd4htiMG28pmKU+YDZUy8gI0yhRp1ntomjPKGxXhxvMzAwxc5Wan LRTpxVnPe+68EmlZ8rlbzUlnOYZSxggyI8d+5SUfwlC44zvONtrVVert4B7XFoCvlYwXo6JkRmOVzftE 2tpqQI5PX0HhYrtO0ck9LpOt2IcTUc9WI+Ga0n8i4RbycwIZZjvUyYAtUlfXQXyUMgZHhuJL+iUup+fU vaPnLfM4QUiZopz54jEdX/qy6weh9AEW2dWtKGwl1iYzjaS4BEchUmJcT9XuyOwRyHjBzctcRvenF675 rJqMvhLVGx37HBqQAPkNazx6tmXwgWSbX6S/YK94eDxvayoZ6g4LMLTcAle/2W0ctvjnU6XGY2tMez+t 6Kq1pgZiW8j3nUxY7VRiw3/m+NZRbglCSN4zeGiEapE57JHbY8Zv7WQ8sEGxRV3BqNgYsg00DKsv2lRU s+RqUltCGm3ONeKrZX02w2PALufvPCoHIdCsrn6kKwy90IHCNR2OZImjkaPBiVgzEP/sx+OF6vEd8AZc nC0mEeU4FBJqe3iFMWxsD31wkd8tG91l4vRDkCngJfYtofTAABYPwx+gCQaB26Q7wqratHqA1YBDPY/3 a8FjYDNMCmVMZ+3zsPAKTxzvtUAz1+bBwWVqzYxSy8PsGSd9AuUBvMYYDoL49aaQr/s+R5phU5Kia80m 07lTZ2Stb9xC6ERBsCZMbgc+dmos3oL1zrlrXq/bofxFuJuxyABz5G65N+fMTRFfRW3en6AzQpBI66x3 Lty407Z3FYY10/A/rw+ngy18tYEIW/4+bO7qytOptYVGO3RRzXyZtKb9ny7FpBQtbW9pquwBjY9JCUJB b/XFerkaTpHsjYq0Ek+a9gXApa+/xSPucepS6HFFxVIbZe/q3SZmfF98o0VvdDOFEObAjclxxTUzvOZt WLoPRaiSlQAraYlnzwaWRkVS/vX9axHmrNic2pOCLpOR8u9nZb179bJ6Tu/kvk7lFvCZM4ZgKetRNUN4 mGK3O3DuTqG6cGg8a1HCZntS5ssrmk4ULH82C3aWWyCCrEYPlwUZRDOr6FYc+lomczPt2+k1oabOFrDL qja0torTgFxWuL4vpaPdZjJRdx1gxkOPw+yciaVViK2RRe4WA681yOvx5KQJAwy/vBvRG0T55y1IHCdo zmD2qt6yVcMg8RPs9TlsXGkdsDBPXlpYjrhf+GoXlEaOgtLm3hnQU2tHpk5bFSaczz8OkdAYu89Navb6 +QxlKaqhNl8fAysLv5Y6WlOoqwXmTv0jgpAeykVc4wUbpAe9o7qs4ZnhyggdSoqT9eWwwmem2TaItj/a qCMkbAssQVTqNpVk2QC6nGgHjQWOzfqovyXLx8XM2Qo7/zkv+i6Algf1+XPZH0dZLGFV5wi2D1Eok2dJ mvJrsfjZcaGD+CYcuwMvU5+/Ts/5cWrjvlxnIUfiX68ZpFD2JGXgZed+pxVFdq8iZe/pX805Njmlxn7g 3bbyMMlXtH1kaB1eCYUw6gDFlcyMOX0T5oU2yoeD/FQAvqjdHmtCPhenb14uTLEVuLt3H7K1p+xXtYMk 0gyxM2h+SObrhAdVKljwcEg7unCSJSFn2Cq20FHc3lZ+X4dTKCb+82HKd+hR7maX3Bk2Rwftqhhr0Wog 2cqse6pxbN+3CGJ7oIfg0F0XRz6tD3epqzz9Z/yfNvEycxjDHB1R4gWBwLZEb2d7kWL0C5xpxfPNEgYp t1Bnqb/ppBjSZ2I+K8sowLeMerftGz68/coXnu4zj+5tRl1/0L4diL+s9ORMivyXtwDJEBAa9PJh9+/7 wE4uW5FQYq1M0a5DGCfRsIEnwnPZEHMAuxfUVruApPWRxkyOM2sPSndL70izxqt+dDtsYx5PxqaeMZUo cGhMZ3dSSteiNyXN+ANKiD0KehVyPbJ2cIu/BER6TQhuVSRehXvQykGAZre1Rz0MQU5gWZobYcreVgvM iYnwPNYa4p9R9LjvkH/YB0RdMtLKIsvaa30uvRfecH61iP5p+cCnNJ+YO9SBFrcaScZ7EJwl3SpoNYqD IfGAKm96b1d6jj5IfhP3yvmGdk+bYpkvyxPdiMvXlUqmVa1cXpmcmtVfZQ/L5uw7GGKKN6p/HYb1gES7 esJqM6g1xA50qQtudVwGrK5QfNaw8NrwtrPEdmsOR8tEXAGDNITyYlx1KwwWMxp9/d7e4B+DKmaR+pip 231sORsrzu0T0CIRI5iIwC2axSNadzBX27Kug7/GMpedArYoKQvXHKKH9wDILninBan6lUUjCZZN9iPn uaneBSa7GqIQHdkjBtPuB/7813DE7VQ3WzXwvRpCyfm7SijUgv7uvIyC9qZWOLWsWvlLOk51P899VDDc rgFz05xBZ7dmcjigq6YgWpmsDTSOncTwu7zZ0Sx+41QZCSa+3HqoZpg1qAM8rCeBLK380rFNmIyav48N 8B6u7/e2JAjndC9jn86RB269iqImMux9FcXKBQui336PGQHQXIDZW4xFfPKdCZVdcX3OnrJhL8ykSbtq D8GYhjH8ETG3Ub6sctmq1u9cXHhsfE/aMYVhiZjECK3YiJtXcFfGgi9+edRerNKvWUnf8XnnEP2QlR3B FJVuYdKgPUdn5Eav7uG4sREb0j0uZz6HjxvlWPlwEaRUjDan2Y/tXKRBbGt2Y7G0Skr+SwsV2D6UcbAC 4d/0Gu8BZhcG05OzDhh2oUEIblAhJz8G1/U8fLMRBiFXEMHeuOkzLz9E6Mgmyq+kXHWvYMlSR7dWsTmd BCUTBryU0ACDF+aTXPS+0inhfDB8HcsZlHCUKLkFZ2VWJAqiqLfJA0H5Sg+PvzX8csqi94ZKy/Ulnii5 dqdq80f/tBNAM4iRGdZ9zkzEBtBowmKi4OdrZDpCp6GZX79oqL7tACjCJU6BENr3u4B/7l+G4xHOQuuS STDrLz5QwHSyeVkBQEosJ8kTSqocH4a3cDNP8IttSS4+ZDkME6RzfaTQI8DZ0WrmupEumYn8oVzF7S+w n8I9yEoEBGzdx0ycQVrZbCST+nNpIE7ARbETSE34rf00lrzrCRAkvzyzHmDUGtH6676nVMUAw4zE31Eg dA3EMzOgPCWwn62HBGeWlNdQsU3Jl9YnHsaDqGTOVkibIjmMt68f9zw6EIzY4yEA5pXqijVo1hsEyrsZ 0jZ1Vr7Slih5Dzx/rG4Z55B0o58N2fvS487Z5LpMDzVae9GFKyMKU1xzhCSFtDT3H533xvCrqiOtKa3s KeQeXnpQsJIRKBM33k1hRrJptJRRiUjnwk1zFLPe8FZSNjSz3pRx9IOl6NbGas+CY9eo3QFmsUsSGqDG NULm5xW/YtLFQOs2d1d9JCFk4+RUnA3lvBeG9k2UtWkONeBOzW8UawDXq6FXcTbFXrvZgKSPFlRtM8oR +yidEo2UTeKd2wjntV7vMssGdwVzF7xDWcMTBFGbwUe4cubu70rfrweidNRO/eyYZurbWVBK1zJbJN+7 u8O3yuSLlZGjL4K2aalfowP9w8nuBVXt0FIbmexfBwomDpJyHxfjB4iHJL4ipNHdBChw15EAxfKmo+gE vxFVHg0GCTYle0p3AfiwOBVEj2D2yEWgnKNwEPKd0bSYz7UvXmHEKLPqvDV9MdH/KlP+NGk8yEyWJ4En doDOEypeJWDG3UNPwSTtBg8jg0ILILEVekoHjqOPsHNuBPVUhemVtsyk3Ec1oKItiKNA8Q/59eBZU3xJ vlFXKkWgqiHCvei3/MxBswq1Fie3hfDPdu+VkTgPPDBOPLZmRZrpPWgrVnmDfjRHpwiinAYpT3ab4Zgb 8yAIAADnAgAADgAAABoDAHq22WH/h/7IGnr/jbr1EdTQjc8zsdUfimf2BtWCUZeqXlQM6l4fikhCBFXx ihp2TfsYo45LBsG50Py4shEJP+bW3VBj6cD/hiAv5sMuB0fWwH5+Zi8V8wzh2jNSsmJkOAV8Kvppuk75 7ZY5d2lWKZ3+nnh9XT9rhfMP3CBYW0Ms0HUyqy+Si1BLEq3E7R4C4K+V27z9H8qLyirpDwdvWeq2EGLS 6X2/Td/jjhFhCDwQEu8B7FA4yYem9Z6SbZ8PS5Rog1qJL8Vq+51fivLIAYErsPZNkgjwjjiI6+KPMPWw PKNXdttw642s07h2KmdbBHAxj09TJRCzTa5XgHFrayfxg9WUnFdwqL2+IVUbPao37EN8nT8VhVkXNg91 KiJRv/49z2r5GazTlqcEZS7dlWXtLBy+CXV5KjnltWo9seRh0spTFuZBKISTeZXZeeVmCDcjGtfa/t7+ hKZ6P1Gt7AudzTuSIRRc48SwbByM3OcJBSKR3PbifqD0d8Ank8Zy9Wf0koh0QSm24L++dy3fLxxJMXAF v2TS8v39S1nqmjM5OMEffakzafRcSwrrn6VQPvfsOG0eJmInp6sQDt+HY9how3WVuicmFSI3oX2kSCAu L3DxYY2geQxa8YLj1dySTmGIz724uJJl/fy0Cm1kZi2OjoZoN+pMNairulI4WOGhDn3zPs5t6/z6m3/s LbIDWzPbGdEVIJj1umu3KSKrWbwIjKfi2f6s9NFsKVTCuFxUiR/89PjXjhu1AIfHYHlaFfL1PVY7mSU2 k7d6jSewmJ1ZG6V7fSq4Saw2/AXg85tP27DGcIsln1kosLxCJEkbgen8u+Xhp3X7shMfvfdVcR7mUalZ vaYa1MPcxcMIfzb8QBHtTeUBW18vsY+7YHbvX8jJbSzVk52Eur373JJ2+NN/Bv9C6p9ob5fpfYPAiLgG 3/cl2EqAXHVqTbEXAnQzCfLqk6DCKYsiwnGC8ht5sGJ6PwAAeAUAAAYBAAAOAAAAGgMAAG0+nYqhUVzo M5hMiotb8k7i0GX5KViXDWkH2ywnPeS+43tXQ3ZNt0KdRMFuJdsHBpqddSihOz4klCLKkBxARaZP9tOF cWhVOmbokGr457bM+tNMoudWwOGbfvGib1Qo5SUd8fTbS8VL3RvaJyXidSJNeWGCnV2qx0zssJXU0k4y Lq2W6Hn5mizJUs2P45gm0JsZ90oWWDS2oebe16HY/GQicUjN1O6d/lyt3kdg2NUrriZQTMieHYJP44Og UtAgtqtZhULDGU45WjDTYnKUsrKIFpvvtlMpHq82MIV8qVZ95L3k4tRxz8ZwmCstOc+qhPyNhpUz+kJQ 0P1L4oXLyoyKkAAAAAAAAAABAACUcAAAUFLo7QsAAFVTUVJIAf5WQYD4Dg+FZwoAAFVIieVEiwlJidBI ifJIjXcCVooH/8qIwSQHwOkDSMfDAP3//0jT44jBSI2cXIjx//9Ig+PAagBIOdx1+VNIjXsIik7//8qI RwKIyMDpBIhPASQPiAdIjU/8UEFXSI1HBEUx/0FWQb4BAAAAQVVFMe1BVFVTSIlMJPBIiUQk2LgBAAAA SIl0JPhMiUQk6InDRIlMJOQPtk8C0+OJ2UiLXCQ4/8mJTCTUD7ZPAdPgSItMJPD/yIlEJNAPtgfHAQAA AADHRCTIAAAAAMdEJMQBAAAAx0QkwAEAAADHRCS8AQAAAMcDAAAAAIlEJMwPtk8BAcG4AAMAANPgMcmN uDYHAABBOf9zE0iLXCTYicj/wTn5ZscEQwAE6+tIi3wk+InQRTHSQYPL/zHSSYn8SQHETDnnD4TvCAAA D7YHQcHiCP/CSP/HQQnCg/oEfuNEO3wk5A+D2ggAAItEJNRIY1wkyEiLVCTYRCH4iUQkuEhjbCS4SInY SMHgBEgB6EGB+////wBMjQxCdxpMOecPhJYIAAAPtgdBweIIQcHjCEj/x0EJwkEPtxFEidjB6AsPt8oP r8FBOcIPg8UBAABBicO4AAgAAEiLXCTYKcgPtkwkzL4BAAAAwfgFjQQCQQ+21WZBiQGLRCTQRCH40+C5 CAAAACtMJMzT+gHQacAAAwAAg3wkyAaJwEyNjENsDgAAD464AAAASItUJOhEifhEKfAPtiwCAe1IY9aJ 64HjAAEAAEGB+////wBIY8NJjQRBTI0EUHcaTDnnD4TbBwAAD7YHQcHiCEHB4whI/8dBCcJBD7eQAAIA AESJ2MHoCw+3yg+vwUE5wnMgQYnDuAAIAAAB9inIwfgFhduNBAJmQYmAAAIAAHQh6y1BKcNBKcKJ0GbB 6AWNdDYBZinChdtmQYmQAAIAAHQOgf7/AAAAD45h////63iB/v8AAAB/cEhjxkGB+////wBNjQRBdxpM OecPhEMHAAAPtgdBweIIQcHjCEj/x0EJwkEPtxBEidjB6AsPt8oPr8FBOcJzGEGJw7gACAAAAfYpyMH4 BY0EAmZBiQDroUEpw0EpwonQZsHoBY10NgFmKcJmQYkQ64hIi0wk6ESJ+EH/x0GJ9UCINAGDfCTIA38N x0QkyAAAAADppgYAAItUJMiLRCTIg+oDg+gGg3wkyAkPT9CJVCTI6YcGAABBKcNBKcKJ0GbB6AVmKcJI i0Qk2EGB+////wBmQYkRSI00WHcaTDnnD4R5BgAAD7YHQcHiCEHB4whI/8dBCcIPt5aAAQAARInYwegL D7fKD6/BQTnCc05BicO4AAgAAEyLTCTYKciLTCTERIl0JMTB+AWNBAKLVCTAiUwkwGaJhoABAAAxwIN8 JMgGiVQkvA+fwEmBwWQGAACNBECJRCTI6VQCAABBKcNBKcKJ0GbB6AVmKcJBgfv///8AZomWgAEAAHca TDnnD4TaBQAAD7YHQcHiCEHB4whI/8dBCcIPt5aYAQAARInYwegLD7fKD6/BQTnCD4PQAAAAQbgACAAA QYnDSMHjBUSJwCnIwfgFjQQCZomGmAEAAEiLRCTYSAHYQYH7////AEiNNGh3Gkw55w+EcAUAAA+2B0HB 4ghBweMISP/HQQnCD7eW4AEAAESJ2MHoCw+3yg+vwUE5wnNPQSnIQYnDQcH4BUWF/0KNBAJmiYbgAQAA D4QpBQAAMcCDfCTIBkiLXCToD5/AjUQACYlEJMhEifhEKfBED7YsA0SJ+EH/x0SILAPp2AQAAEEpw0Ep wonQZsHoBWYpwmaJluABAADpEQEAAEEpw0EpwonQZsHoBWYpwkGB+////wBmiZaYAQAAdxpMOecPhLUE AAAPtgdBweIIQcHjCEj/x0EJwg+3lrABAABEidjB6AsPt8oPr8FBOcJzIEGJw7gACAAAKcjB+AWNBAJm iYawAQAAi0QkxOmYAAAAQSnDQSnCidBmwegFZinCQYH7////AGaJlrABAAB3Gkw55w+ERAQAAA+2B0HB 4ghBweMISP/HQQnCD7eWyAEAAESJ2MHoCw+3yg+vwUE5wnMdQYnDuAAIAAApyMH4BY0EAmaJhsgBAACL RCTA6yJBKcNBKcKJ0GbB6AVmKcKLRCS8ZomWyAEAAItUJMCJVCS8i0wkxIlMJMBEiXQkxEGJxjHAg3wk yAZMi0wk2A+fwEmBwWgKAACNREAIiUQkyEGB+////wB3Gkw55w+EnAMAAA+2B0HB4ghBweMISP/HQQnC QQ+3EUSJ2MHoCw+3yg+vwUE5wnMnQYnDuAAIAABFMe0pyMH4BY0EAmZBiQFIY0QkuEjB4ARNjUQBBOt4 QSnDQSnCidBmwegFZinCQYH7////AGZBiRF3Gkw55w+EKgMAAA+2B0HB4ghBweMISP/HQQnCQQ+3UQJE idjB6AsPt8oPr8FBOcJzNEGJw7gACAAAQb0IAAAAKcjB+AWNBAJmQYlBAkhjRCS4SMHgBE2NhAEEAQAA QbkDAAAA6ydBKcNBKcKJ0GbB6AVNjYEEAgAAQb0QAAAAZinCZkGJUQJBuQgAAABEicu9AQAAAEhjxUGB +////wBJjTRAdxpMOecPhIcCAAAPtgdBweIIQcHjCEj/x0EJwg+3DkSJ2MHoCw+30Q+vwkE5wnMXQYnD uAAIAAAB7SnQwfgFjQQBZokG6xZBKcNBKcKJyGbB6AWNbC0BZinBZokO/8t1kbgBAAAARInJ0+ApxUQB 7YN8JMgDD4/CAQAAg0QkyAe4AwAAAIP9BA9MxUiLXCTYQbgBAAAASJhIweAHTI2MA2ADAAC7BgAAAElj wEGB+////wBJjTRBdxpMOecPhNABAAAPtgdBweIIQcHjCEj/x0EJwg+3FkSJ2MHoCw+3yg+vwUE5wnMY QYnDuAAIAABFAcApyMH4BY0EAmaJBusXQSnDQSnCidBmwegFR41EAAFmKcJmiRb/y3WPQYPoQEGD+ANF icYPjg0BAABBg+YBRInA0fhBg84CQYP4DY1w/38jifFIi1wk2EljwEHT5kgBwESJ8kiNFFNIKcJMjYpe BQAA61GNcPtBgfv///8AdxpMOecPhBkBAAAPtgdBweIIQcHjCEj/x0EJwkHR60UB9kU52nIHRSnaQYPO Af/OdcdMi0wk2EHB5gS+BAAAAEmBwUQGAABBvQEAAAC7AQAAAEhjw0GB+////wBNjQRBdxpMOecPhLkA AAAPtgdBweIIQcHjCEj/x0EJwkEPtxBEidjB6AsPt8oPr8FBOcJzGEGJw7gACAAAAdspyMH4BY0EAmZB iQDrGkEpw0EpwonQZsHoBY1cGwFFCe5mKcJmQYkQRQHt/851iEH/xnRAg8UCRTn+d01Ii1Qk6ESJ+EQp 8EQPtiwCRIn4Qf/H/81EiCwCD5XCMcBEO3wk5A+SwIXCddNEO3wk5A+CRff//0GB+////wB3Fkw557gB AAAAdCPrB7gBAAAA6xpI/8eJ+CtEJPhIi0wk8EiLXCQ4iQFEiTsxwFtdQVxBXUFeQV9Ii3X4SIt9EItL BEgBzosTSAHXyesCV15ZSInwSCnIWkgp11mJOVtdw2geAAAAWujFAAAAUFJPVF9FWEVDfFBST1RfV1JJ VEUgZmFpbGVkLgoACgAkSW5mbzogVGhpcyBmaWxlIGlzIHBhY2tlZCB3aXRoIHRoZSBVUFggZXhlY3V0 YWJsZSBwYWNrZXIgaHR0cDovL3VweC5zZi5uZXQgJAoAJElkOiBVUFggNC4wMSBDb3B5cmlnaHQgKEMp IDE5OTYtMjAyMiB0aGUgVVBYIFRlYW0uIEFsbCBSaWdodHMgUmVzZXJ2ZWQuICQKAJCQkGoOWlde6wFe agJfagFYDwVqf19qPFgPBV8p9moCWA8FhcB43FBIjbcPAAAArYPg/kGJxlZbixZIjY31////RIs5TCn5 RSn3SQHOX1JQV1FNKclBg8j/aiJBWlJeagNaKf9qCVgPBUiJRCQQUFpTXq1QSInhSYnVrVCtQZBIifde /9VZSIt0JBhIi3wkEGoFWmoKWA8FQf/lXeh6////L3Byb2Mvc2VsZi9leGUAAAEAAIoIAACGBgAADkkE ABoDAHQSfBoINgrfVfcYCynZFUoHPJTa855VtUuOVdsJfl+VBPzHfrZUIdCdkO/ENFKSxJLzJBFTjL61 mB3lisHwlh/FQr4AtSeNq5jgbndxgO1PEWmwWi/YOqnEx3Ht0vICiBb30gP3Cjjvh1yLjVHQg5qzmvMp h4HA6GN+NHzTAZc8jqVGoZTiFI98Kn1JjprtL6uO7NMH2juT9EbLI7xjeMQT8IO2GDOWiSAigRLPkfdz JBTeiio+lUzALGks+IlVlyLuCu608u/1qe2gK8oLoIcVuD4ayi7QHgspKJhfp1y8sPYyIsBrk+4H7yw3 yMSfdbv6EAxLatgdiYNhl3iUcoso9boU1pFOfI6uhdzO1y1MDaG84RTGdqHYANHLtNFU72iHSPbS3eti UFQ7/mxKv7wZy7gz60swGKeE+zEBqkuVQbpQYa8msc0aNzlOZ6bplvUa4Kll1dDbnVJPwLDBs+faroS7 M7JD/rkCkPbrJvw8m4eTQWkaZgSv8IYz17j3mrAqqLGsD0DJdzv65fML0g0G22ydUBOJTnrHU7Soko3H jaVzDNHEcIuMM1FJCWBBs/hXTNZTRR/3XYPE+TbbfKiWvOuRJUqE/ARtHXeOfHBNYq3aUoimZqZaANtp sNuOWhmObslmeK6Wc/U/T39BdxqLEw1ojhXsAl54/hPNxqoSsO5O7D9yBmIshhgm9HGPFD2Qkf//5L1R //tfov7ByCXo0BybUP4b38Vu+cSvkCLI4IQiT1iUDO9xdEoqUYwsnRkfBthwo1ykKHPvWfGyCHnGlTuG KYo18tw68GLncA5LYEG0X3bPrGX/Q48fU4aMwBVq2J/mZhA/acFgoZEGyrE/vgr/L3Yo+ooLmo1M40Qr +cuIRrj4U2LHNktzEppDhqcn7tWvV8C2P2R4gJvHxW1EejH3Sl8AP/LAFNZpj4RNODhsUrByw1e+0YMb 0g7nvq567sfGb+guu/pz3JPaGGBYfnzIVa8Q+K9cLfigCAejPBiVTFSpsPqdw8yDncjH35qiAQfOXoDc FleqJM5+8H1m9jMrzTDo0Os5uSWGUO0hYoUHjpk5rmFy3qdWOKKLTM5OXHWhnlWyqlXRU5KHVUOnFhJR s3yMDOKx0/Rb2J46UV/klzzvb+aieLa6/eytHG+PxinWpOsbdUyVoLW3IS3vYcEyJJXs52BXndMRPLFi Ly4VbmM5Ydz5n/KShl8R6YwQ+5yLQnybVxFOOCYoHjLXzijLmm0NCVxp8O/o29xCLGIJWTYMiyOQ56v+ PfqFT622CsZyIyll58RMHoUxkRfuPllf5atRvNSCRWfVlKytZmgycReGB1r2xTe8/DBExoDCEyG8Oh2A krI3Qxayl/ErWBa5wfheLAW85CY9/Z1OhC0eRUCyKvqBgmO17ambomJj7bbjc99/hG61ScVRX/QwBfGh LdiA+iV8Oac2W/mHZFZf/xZPLd/PT9of4p5Sp7Wphk8GmfO3xIu/qCTJi8WbAUjrYs7TMVBoqEm7inKM cJucNIJc8gktauMgzGsz3G34TWWIjgJQVyHO/NoLJgVxFvuxZXazdwGsv/h4RqjClpcVayfv0t2f45lN Fwuz7jtz5dJ1xooQbrSfUR2cVS2SGwGJaDONhSRsuiQsx4AIlO/vdaedOXCp7mQogEjaYDLhQWfywbkS 9Is9isnN852RblHKtV78RHSSh7z7sTMK5VTGrCyXredK3bdxCQr3NNjjFlGiE4OhbfqAbOqPWfjc68q/ CC7u1H1FJu+JXCoXB2Xy63/eSBdMBrUvzbgV5qIlIL3HSk/jvcXBdaqSwllhmff8Tb80DKU2GGDeh6bq AAZ/ZAYy3a83Gtjbx7e3DF3OninPQuGet1aym+/b8bwwCock9QJhi0zS6b1S1d8sTtHIBpfw5yLXiYWd rN+yqEXg5KF0Jf5E+hIl6Y+zdmX+rniTqYrkBhjx+vvBCvZWAO4U11v5sPeqTF0uVJHJe4tG3XVdWtsA LcYEFOPFLG1IO6EoAkA8bJqbfCnuliQovteKqXzzBneoe+AP5rAVM3Le21qpYC0YBgSv+ze7SPypqSn1 GW4yxQItwuRk+l/LAcyNgt2BtCu9goOLMgYvNLQdaglcYb7plPJEgDeQrjbcu9FYXs3Q50cGZTLoOXps 5iifwEO+hv1vYqRoVu2s4r0wTkH6ZjReNiFwJGoIx9Ml+2tUwK1a+3mIRVHt2RyNmeWyACAOAAAcAAAA DgAAABoDAABv/f//o7f/Rz5IFXI5YVG4kijmben5kABaAAAACQAAAA4AAAAaAwAAboxFyACIAgAADQAA AA4AAAAaAwAAb/3//4GiFOMA0AgAAAcCAAAOAAAAGgMAI5DsdCAVOzfiCDZG/zcyDuEeGQl1yspfUB3N 7v15vrBcabGfaOdeITYPUyQNNbso8dgGS4MZq3A72hGg3Hx0UvH6PXdGRMPYccHnAXD/RmS4q6dQ04bG fZPO5uhrd/J00GFbCHYR4hOG3PKivFKA6Bf+Z2i29iocEVtE6c8mP3bKvBD2i5j7SkxxTj6i8C6D+tov xPBEFAs49Z7+oODa0/b78yKms6RsXvXdxR+THR9m4mV9ORR+uVtPtAbBMf/iyEubNcaMgj1k3kvvtiSe 93VxwiPjXlzZy1CSOE96SBFrobQN/zxckX3NhMRVQoEiV6pMFSFoRE6axfqDhfqSERAWmPqHBBQgae+Q FecUgmETVGryK14LJKaoRy70GIlzp8st7alrWlPxN+XnvsTj5HTiBJ03IziMHaaUWzIXzG1n2AJxgZmf yahFJC5snUeGs2BqmXUm3US+ziV2vpf9U3vrazFAFWC+Yxr/wafTZFwTJs/7VI8BbHW31SEuJMcYj6pG jVIMgus8GIEKTtqdlsTxKnHamg1rWw3+Pf6YTq+rM6Db1TeWZZEd8FcOFl6cn92SOYV7nIQssWtAfQIX cDTNoyuIf+HGnyISx/xQ7mc9lp9nakKY+6N2k6eE04zHTjxgdLSsRMjngmV65AgDp8R3gq7MG6Bml48K NSegBmSTDo7fAAAAAFVQWCEAAAAAAAAAVVBYIQ4WDgoDJvcsn3O6ktAIAAAHAgAA8EgBAEkEAGv0AAAA ";