結果

問題 No.2214 Products on Tree
ユーザー to-omer
提出日時 2023-02-11 00:18:54
言語 Rust
(1.83.0 + proconio)
結果
AC  
実行時間 58 ms / 3,000 ms
コード長 26,732 bytes
コンパイル時間 11,878 ms
コンパイル使用メモリ 377,480 KB
実行使用メモリ 47,912 KB
最終ジャッジ日時 2024-07-07 17:50:49
合計ジャッジ時間 14,709 ms
ジャッジサーバーID
(参考情報)
judge5 / judge2
外部呼び出し有り
このコードへのチャレンジ
(要ログイン)
ファイルパターン 結果
sample AC * 3
other AC * 35
権限があれば一括ダウンロードができます

ソースコード

diff #
プレゼンテーションモードにする

code!{
pub fn main() {
crate::prepare!();
sc!(n, (g, _): @TreeGraphScanner::<Usize1>::new(n));
let ans = crecurse!(
unsafe fn dfs(u: usize, p: usize) -> [M; 2] {
let mut c = vec![];
let mut d = vec![];
for a in g.adjacencies(u) {
if a.to != p {
let y = dfs!(a.to, u);
let z = y[0] + y[1];
c.push(y[1]);
d.push(z);
}
}
if c.len() == 0 {
return [M::one(); 2];
}
let seg = SegmentTree::<MultiplicativeOperation<_>>::from_vec(d);
let f = seg.fold_all();
let mut x = [f; 2];
for i in 0..c.len() {
x[1] += seg.fold(0..i) * c[i] * seg.fold(i + 1..c.len());
}
x
}
)(0, !0);
pp!(ans[1]);
}
pub type M = mint_basic::MInt998244353;
}
fn main()->std::io::Result<()>{use std::{env::temp_dir,fs::File,io::Write,process::{exit,Command}};let e=temp_dir().join("binFB72FA8D");let mut b=Vec
    ::with_capacity(B.len()*8/6);let mut x=0;let mut t=vec![64;256];for i in 0..64{t[b"ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789
    +/"[i]as usize]=i as u8;}for(i,c)in B.iter().map(|&c|t[c as usize]).filter(|&c|c<64).enumerate(){x=match i%4{0=>c<<2,1=>{b.push(x|c>>4);c<<4}2=>{b
    .push(x|c>>2);c<<6}_=>{b.push(x|c);0}}}Write::write_all(&mut File::create(&e)?,&b)?;#[cfg(unix)]std::fs::set_permissions(&e,std::os::unix::fs
    ::PermissionsExt::from_mode(0o755))?;exit(Command::new(&e).status()?.code().unwrap())}#[macro_export]macro_rules!code{($($t:tt)*)=>{}}const B
    :&[u8]=b"f0VMRgIBAQAAAAAAAAAAAAMAPgABAAAAYDRAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAEAAOAADAAAAAAAAAAEAAAAGAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAABAAAAAAA
    ADAgCAAAAAAAAAAIAAAAAAAAQAAAAUAAAAAAAAAAAAAAAAAQAAAAAAAAABAAAAAAAD
    /RgAAAAAAAP9GAAAAAAAAAAAgAAAAAABR5XRkBgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQAAAAAAAAALEmkLdVUFghrBIOFgAAAADgiAAAVHQAAHACAACdA
    AAADgAAABoDAD+RRYRoPYmm2orhgzJO2QaNxNDeIJnYera5rHsj+plcFIZ+3iSxyUa5IJVoBrKi7pLs3RQ3Qy6WqGPHRzskmV9lrVfCIi47vyDJl1sUXDZITbVMNJxzwEO52ZqWHM/q/o
    /rDCJMNibyTI5zY4AxD1cVEKCezcFiHEzVx8Ct0U53RqlEA3QS5WbQ8rixUrgS9Y1pU60jhM+swlLkcQAAkzEAAA5JAwAaAwAXmwkmM3GmCYALHTJPNRq/liYhnSgPFX2WO3CstB0TYQRuPnDn
    /eIVCsd0PzwSWjBIZhd+xt7lGdvt1VrFt+IyJjDPOEUSDBp4hZR3g0sgSrpwgtmqrUf200MtOhjFASsDM4w4bLoHWj9QVm3UsVY7Cs3hfBr6/YwGERvotk9gksNaF/u/j
    /fM05VA7XMoy4SoDyb56SLZqyJNqp4h6QX1whuwJgyVgJ1S9+oCtpr8K83+B+fpJcYKAh7N4vSUcA9Lk6V
    +yNQJ10Oe3HlGxRw3tz2iW6obz6uLBKtR81xEInCXVo1bIAa0n0rSVUYTlXI0ohTKplpmXBlyjE8kCWCK6xMLpY9KzrsAUW0ywZgz06oUSZmdBPAFZyFH3ceS62apyUZ7jPxn7cE5kznAXbNLo
    dgj68rBA+TbRD4m5UwEZoeWRib0sKT4jWYHCNJk1CMyh2Fnna5QtHFqTVEvs6uzf9MCaB/UxCfswlPx1yBHte
    +14DhTDMCqnyo5F5ookJenJsQzIuMkaAfkWdaAez1D4ssgorwjcDYXPhhPdOevzJOWOHLbWso5MF3XH4eviARrlyuLXoLYOBiT2fnT2KNm1UtduexpQD1wzpNvLM7BftiuAS6EYJwQfVmyV
    /aP8NtlOJ6mqkzDhCMoyoOwV9dlyil+eGDvcBWyDhM9D027wFllX2v1CaSJ5s9zUS6GcT98/2xsZZFXd2cumClhb5hK8GdcB67QspudNZCGHu8hZpEn9JQzpb2gAAdCCy
    +q0x1BkFWpCQUNRl4hbzlPBvPGMh34wZXkq+kmIftxc79nhOCpcG/YeCBBRoBccVyHz98h1dIWxWh4ClqJPwapj9NErrrDgr/1dk+QpwV4fGv3fzUMzGPXT82dUOgkY2aAFE
    +WoipqK5NejMFeWIuwGx/Ku3tyFTl2aHTxQdeaXtkkNOj0F4KJfHR8IxtYGRe3hloMtfKeDr9BcgdwTqauP1rqUfEnMhaRTNw29ej2CAM
    +paRJBRR3bmpJUkKPSQO3oNYlrU5lu2uIQWCon7BQDJ2VB3JduIOOJeKBpMktZgvjiXBJNoEtFE33BBpsMT/6T4KmErDi785V4jpXEBieKZQh7qMq
    /ouIpSit9VmhjNbeftLZUIswdOOmtr2vLgNbAKHHzcGn860NFVoodGf4A4x7iPr/0auyRV3RWJE4m1FD7B0sUoYj5bhFD3vWH84lnPrYWk/jqHj3kgQ62LhMATiY//sNJsiUtFyHjI+UGU5jlz
    /XW245SZ0IZBgS6lmoVINb/nvr3/EGgY1Tpny2ldv7yUe9r5IRSFKDel5BbRELNN9b2/5zewKfiDikwNPU/BrohTADQhxPRtCOMcfwOa7PluyjTlsPWhQurvre5lRn4W
    /vIV1QB5yWHFYYK029ZApUg4ylJ/S4mxP0YEk5PK8VdmDDFdSk807pbejLUZQwOfX991mAoP/tXqLm2uaQlykbwSYgPId5NC3vjmsh4Gk0H
    +BtoNcsoq7Spi9f1TU3wyNHB0yGv1j27wQP6CDgGgcdz0GHvDMc0I9b5q92ud/UezJQF+s1cLWft81bT+9RS5gEl9XtnoedXBhnyLp8mMY5KYjDKoXG2vYpZ8IpspclLnLNV0pEN92A
    /KmYs4NbcNVbhomZpGzSrD6ATiVhR4W6bQD3UP0AyRWrcvI2SpYoomiHV1RiC4NGxyO6kmoYJiXrhj9HRVV9lAZ43TCN0wLklzYPULJ9878XPwA6Zxxy5dpRaKLkXGorqbXMVxLgCgB380hq0L
    GMyg/JDEyTpFmD01yl/fuyiEumnmF1C1kak5kcilWCSHDS2xLoEuKUB+4+vFjfBMhsEmBmwb5a0Q5zdVQHCMQxORHJJCWmnTvG92nPccMs6GvaQGTGkdMSRip3MrGgZK3ONuOPSW6etp
    /LRkDzVxKqY01yovq8lgy0DSKPagAsIcPffmkSCXLB00aosOHxxBabIW6TlebC0iO72mTdbt0psmUlmXL+mfBxoFKO+U3cCnnSfupWCuA9fHsX5+ke94/iI+P+C6qgxgT7XdMa7vFDy
    /iJVDZROXdr5n1yg6E9kRmDkhQ/BNs+HXM9Q7VPaqw5qSGLJ5ZwJvrC38pi0XTaY6pjzWVR/UqojfkJxr9gH60EOhq6kKbbEfLEqpiY3qBlb8QGCCIcFi1WdsEdf0+Nr
    +idYaeFaAaa1PBK3hHzdM95abhzj60rMRP4s+u8sf9/UKgbmi6NkOUFU/D59Bq4P/2njMR8D1Li2poJac0WPXBNLNLGO79hlL+RkLjJoMXV9jF39FGCjgigLC1SR4uOv/CBZwx4NR2Yg397WuG
    /mD9hFQN+oGgSjjKyodUv3fB+gqKGhWq+ky6ROvVXHq1M/QZiOfcwEADQygSAcJtZz61CG6SYwxJFocweueh5FryTdWv4xDJm6pPDQbPDrlXfVhgVW2/60SdojPH20kGJU
    /YigmUwVBysQwSCmGUbGFAtHPkZ3PT1cbipea2EISr+P9PVElNdBfR/6YgQOmiaeydGxWB5zoQl6CWl9aWnlhqFc5XjsZH8Tse/mvsD1kZjSJNMzM7GAiCiuFedap9f
    /IG7j7Kbhq7pC6nfEc387xiEPtY1AEy+738stGllWy7CokahEjTj8jxTMCC2PMR6eWqZ/KQ0se
    /kIagNcQWALjCvV8jPTpbFh8TdAOiZx4my1omrL8N3CKn16BAi4Cme8UhVnPBd5oa9HGugPhbUXOUfXdo208AHsHhTLNsPN4b9KnmHll2638Q95VBkHmsgW3GFu
    /mm6sYeNl3zHdvpLxXPgF7aYZ9Nn8mgMLi1cnNGGTxdyjKf5LTuzqD/Des6yL8UqE+fJjht
    +jqFgIX0dproRLVDkkfp67f6DjuuoW3JQQ6tHErPodU94lw2o085QnBcfO2i8fsVzE8XYyoOT6tb1R3vrpUoaUdo0FsGFqUrVfIgpwD4OEmcN7iC/jkLKQIWUXyRJxL5gjh7N8cYaF
    /e4U9ePjiry6b2abbB+Alqq97LFxf8PlsGUb0rpLlBLynp+DU37PKaL28Y6MOr8iPTFjVzDgzM1Py9Nts/qsenljHKm/6HqNnZkXymmJKOa1K6HmGt
    /XsTD6AbKnbpEiTOVMWCM8kuhKsQjKt7AwzlyjBFJoDJ+GyokZoLn6z7YyY7W0WFzMJFx0tmwswJAagWQRzT+2NxNWYcgQFUCH1HoUhAPc6FmbgeNR7pRmS5sBiihOUykzAY4xEnP
    +HpoU07aA1tGaSd/oGfC3YclAnw6q5ZZRVSrlnsYe2HyOuaSiuCJHv01QGr+SWzNlzVoTPNHDPGdThjikpIzwzYtB6yFjIvvjyLjBpC3EYuom5HJVq1fJDV6l3IP89Se3e19Bpl
    +CHfOMnMfaQbf4BHrxNXi4HowePmIF8Lc8/CIyZ47gsvQckp2wTCjrQsB5sRum4pHXlKke65WKPKeEfFDLg4zhRu+ZB
    +o3RX5AD35Wb9U9mgYuDeTW6QCorenPsnQm99kAVx9nTCaXCNgw8PjoErXIKUDFfecnz8LRwoZNn0BmyWn6WHujBjyPzTKqBqbss2fVBJgJAoxof8oyL+K6x7QqWHaNc8lr2noxY5zbzk
    +9PAByZngqHLqcx2m10bMoe7sHkpgkF4EwWoQV/rV+Y9QsVOaAtnhTc9tNa2eauMktTO5lv4e/VY0v1b7R0PKuzJLFYaQn4F+TuV1
    /KywEvGP4MZhgIBdGBlFFMBQQscRoMvDltQebsJVEQevwUIteQArlygXAknrIaP/M5KpCpvBHw1miumSU6V9QpThYOFGKReaDo8rjuLx8Fxj9MEN0
    /xWGvnVeHjtV58iovQ7pD7Q7J7QUMLMe1dqWjMonOCNDuFl56C1PFOxZAgQJ7fIGPkenxk4SgYrNUCmooELReDY5znh33Is0LvAbVjXxenQwP/vQaH9DX
    /n65P48yGP6Mu0Q27AemjU5PhkZL7Jiq4NgqgajUlh5oWWRWXY4h/7I87Kjw+9GqqxtAFbEWapniCY8RleXKWly4Comud4uR19wAkKz/1JdqlWBHGjYcEVbA0vHH52Hdq0tTQJvPZrRn
    /iUpNbaHplPBPJEeBd5uDdNWB0eRghmKoImBeKSG3bWW
    +XqHWNY4Oh7I6ghm8Yq84CimTAUCNLzyIf9uIkia6NM8BCNSjtk7zC0JT4jZFMNExk9lsxy3g77z6teV4atUAAtSBQKObFJh4cKP1eSkScjxrtL6dGvgo2
    /Rxip4P9TcDAMYgT57MYpSLUEmrbkOE9hGs3fYBdu5PQVsDFmGUsyUPzNEVC64uR5euPJb7mTk0jLhVvCmUdc+VCxn6N7l95I8kxJqrRr43Zk37EJ/1HxuGYydFXX63wCrXfz8XVFD6IM
    /27FcQD0Xujjig3JydBz9V3F35XYoA2L/VhLn6MTauRWtEJ1W7DXLW/+sBsZ+D8K0ig9lIOu5sVYpYreQXGLxUMQF0d3pbF5WvknMeNsP8LXOp627W17G3NxqbEvcQTyD
    +3TccVcw8iI3uvE5zjym3E4gK3T/VSYaLYDCTOJH5OvqcPfjyDA4w3Hc0jVVvar0mY+Zlxm1TQPtjZgcZor1a0JZknjMzRqfGnRWXvZgkKd7i1vPqwaL5WgOn4+9bWSqstcEJHuMWb
    /0AZ0RH0k4WDW6FRFLqDYhbLAQiGL67vQhmqn+oYt+iO7QUHrqj4HK3BREJE1wzd43lJ5r7f7YngUpTqlhK1/Vw1d6W0ZZ/yDHRtuH9XVhYde28zufZkAFFGE
    +ZBvm73VjdQ51S8xoGSL3hJbRq1zJTsp7Ey+QmbXmASUGOzA9/l8X5FE+A5r6vbnF+O9qkeglsoKeCrCmBfvn2TDGZAdkghz8oHWXfLdNFsbywfj6qjcK
    /LWwusG1CgFqA3ermCxwRvwckhR3UfUt+VCD5LJiZrwairJ7uLV1vfCGvTo/z/HPeQ2yS7OfpjlU4Er+7c62VKtJ9vrU+YLkQTzQxr2dynWR+dtg1i7ZHtLd0vDa3G6vB7Esb4
    /ckXmYOzFGAMa7EJMeObPEFnnRCXeIcbpw00l9Vw+5WNu6os7XdAxPekcQOSDRp8xbWslQOCLeF+rlhRP6iRpSR/ETyPozrghi6BwxjM7Wa4+n+HpnxdiG
    +nOnUFCuTpo9HqBGviNEpiGqlkmo70ViFgEBHgKKJlbuXlxwnPx0vXe
    /HdayLYS2mqaRQ4jM2VYWW5DMF1AShmMCNsr4XzBpUqsironZgEiIj7vXEBxsUV3ezUG4lBuIGIvhOlDOiMmDPl511NJUOSpy2xeQdAnMO7fqc7yOfg5Bg2olcJXZyqHbWVXNAlm5cyDPlhZm2
    Ov2XH5ic+8kpuklCtqsCjCWitmqAI+n4j4I8tHFaRN4Hh4pgbEtrIM14WsCOlgmBM0vWYivq6/KlJG2qmjHcgpaeMFoEYQFmVz93q+4fc0gptDMc94yZ5S1npXP3xSgowD3RcMhfTF4YiI
    +1hWac2mITuIj1u+1qrL1sEPF9QwSLthIhz70j65HtkChBQcZotDcD9qsFQpIJf7iPuYrQuu7eYzPwaycuABtdYfHOaWMyrXGF70fG0AXhUJdpTFOmeg/RIlp
    /wKiv7yC7DEedsdsHdHzWeUqykaluIGpZy2pQJEMvzbMQN/pHQGRU0Hn4ld3xhhFwI/2HrR3Dtgy979vT2Ni4PAoz0+0yXbtX6GIJJB9vGR1uWw83HioP08cZcy7AUwXwgG/KBHXQ
    /sbyVVAckXuQHvcyKSvXrHXF+w7jLI3Jv9MojQZB0QZsXQZ8oxdluLZwypf6h1tuCOh3lJQ98RyyeKi+fduiei
    +bWCG9fGxckvRLUcrWr0RWBDbyveVUUrP93OPRrh95sFd8x61Ey77F8U1koiJt3h8oarptTgzjEYpj65c2nDF9BcVsDYWk1NDByyJuhg23EHjGor9Y60wM1K9wJp7
    +heJSja49sIjM6wHFRvxKfJiu4vYvwyH8I8SpgCGEmqhm6gYPHo+HYhNuf/x/6/eooJKRkec5Yd65krHJmkzhoKrDYP4XJNlhePfCUBiQQPaRYxyidvD8m9caqVRGx41lJIv6BZxA
    +ooaFlu5JSmpl9n7AHNPGgD7788PrDfDgi4d2PJNoilHYsXCghoTiNHPSLu5IcXul95/AQBvitl+dUgn+GODkazwyL54BGJ1V7
    /XP8frtm59tOOdgYynY1aOaOs0mXI37xBuD0PLjWW76NW55uYROB2Ya5HbFyJCbXROqTSfS9lcXrBA8HQ+S4pc
    /BDNyrYdDe2aqsqZjVKGg0bHiQm4euoQBJGv5jleV71q26NfcggODwKefCqi4a8dhnXz1FYmKGdR7k/nrfKsPoUlkZnB9KQYl3n6TxfAXZR9ddgFZIp2JJsBmjR61UifZ0/lqmYDtI
    +6eMnAdRveoCgp9x94YhgEo5d9lkrMke3qosmQgwfsX3KdiH/dcyWarEwxmtLkYw+QkjNli6tzW8lZu1xOCrzVfUxZt7gF
    +JktGnXgGuS0hok8ckU41FHQcrjYisAx3niQPrLUTvunC0A5d2BVjz8+bZAzDIRjyGLAkRgYDMmuiJOggkC2MBD2AbMb80sC2hvBwuCqdVGS+DVeq0p3UQRlHRvUQ+Si22X
    +uXhiiMoEve4O8RU85p5/9Flx4X9lkAgC5wPPNP5pIGgLxS7UfG9om7WfvWX0+73QInEpaHEOl92U9iS37DZmRlg5FqZf71kUAnQpzKcG1CFnYQWNlW1pJiSxoFtN7CIjI1eDrIPKHEgnekq
    /4THincBCNrRMWubnQx+/z4FjW/ohIWRf7vzM2AyolIFWnacP8vsFjJwRm9YNHIGBVlEWPMHcdrQfCsExwEFhq3Ble
    /euzmDjc1B1ByWjl2AVKPpZDGQ68zKf0FuXD4hGph63lHlYAsFybxw3zxfVb1CSemK9dXEUJDS0WLer0SQJo0crRqLfWUCA168T7goxTT9s3tgMQpZ+g+7GFieTFvmYgXK8X+kUm/BxgQRPBRk
    +BZt4PJx9WcsdwuGKwFW6pYmp9seZpM4G7t6cWRA5G1VbS9LrWJOcP2stPbtSL+Kv2p9vYXlzKcvkF
    +0Vwygwm3cED18kqMTDi6Gz1mFDezJ3tnK80AtsVzFyolRbsv6Eo19hmkTjsUQFUM4aCajwtmnVX+WXF297DwRtSEj5LL8E64x+IcZSy7MBoHtof1PKBXnQXpm7ucqoAdJIr5/wjN9C1
    /fJMy4wsriRbdVKqwAlx79ar++8UrB/+qn/7VgHsU9Oxsk8Nzm9eceiuFj/U4tH3VVO1tOyUCTNsRWLWlUAxIYiYiDgfpeU+J7eHyXPRs1mK/FNBBzIsZ3o88CZaB4ktQRXHqnHk3mW4Dw
    +calajqmzhFrFzs1wVqp902r43eDiOBW8W9zQoItDO6XV56VTdyElfenRhSzsiYjIJ3IaPR4C9LUzBMMrEmTX9BHol7Cq71e
    /3MIqprHJuTTs9Bp38SmzXwI0BQYRgAqart8G0bN2mFYqn4zZcrFmb9L/j/uosWvGdItIQwRX/Y+EcKfjsCjafTRiS4HtBRu+ad7dln2ICM1fTlJqVeMy8FZj
    +WWW24veMm2IdTajdWViHLUEa4bH85KWIRNvOC90+1U3vlHb0S/wWFVn1/fk+B1nS/Roood27JYAebr3yU0bmnJCqtW0hO08k/c5H89HnaHxqGJoj2X2jmzh4XNfcTHHYs2BlLp9QDC23Suh
    +++elayQGpyL6vwjXKHOIZKYFq+7mXZ3UIk7sb/fbiiHVVyaTXjZjeaw/st2RHb5CjqolO4kgNR2G0sOlzYcFDbzY+OoG4RyBF6TxJObOUXtUzwPJF+xAc5CvqMT1s6qVev8pDBD0wK2IK
    +Bzy3DywM9MCqThQOkcSz6LiIa6cwg4pVlqbXjJxjXEHQm2fvWIT6VXLhbwULNxl2M+JhJz/eP2IdXbHFcLntfiwIQ06BTtNgrig3Uk/fv+AEH0y6eFTJ6JiWXMDmYKfDh
    +db9x59PMkwoJLeMBHXDtvlzmPQVdvo1cTOygkkCqZ15i6AFvFoXIWamM+ka/MWznw6yLofEDJLmKbpLGNRgj1a1qTTnki7+7EBn1vGkFNBRh9s2MVTst
    /YAjY9T2YwxiyWxCJdKX3oiSx9kvpaF5M41iEeXinSN2d3WFiFmiRKmJDaPLvV5ycS8
    +C6ToKmQUfAUcyWW4wM2ng2YwZhsfGhs2904F7dXw4M407x1iZUlab0PTJ0c3YagPPAmKRC1YaREzX5yvH76AImmnbh0WBDlEqZxDT3MWohOyXWrmah9
    /S3dktRc0AGty8tSuS1noPUtkgfwMaz4dS3cULx3k9vpXfabbpJcCOBubr+Hcywl/8Srnk8FB46lKVYPwyeuTylaVuk1n0WdcQlBpKWS0Dl64Ut+yne1tb9BSAIm2qcI9CeUfnHVGclWYXAV
    +LT9GDp5FDcBrCLwmPFBbuGD5Ui5fZy86usesjK9np+DF7R0IOextVIX5km6cqIcb8/DPuzd/Uhu6ntAzUgrutiCicx4Mce60jAjOGSn89MD58Nr2sYVhufHhD2OjEboC+/aGT4OEBiLVG
    +VzNVTYEP5E3RpH8N/cB8oJHxKmVOHiMIzGUFyzHmSBIkxUYN1CPtHRPiMdR3ywSzvzA08/X0GWzBLg43maD7Bb82JC5se9X/cXpzCD1HTpi4PrKJXKQNmk3M1ErTARyEJJPB0S
    /jJ3elEJN3OX+dyPGeLRyPAzwrwhXz2SUMGjq+VcEqb7D+ET0RvYMb5yxfS3fwzdeRu6/3271XWDGYL93BfJyR0CKDM0j0Gc0+ep4l85DjfAMjllkUZUKcGfAev56uv
    +EhVxxYFJAi51WYfbeA3RRMNgt4Y3uyXNpHxuq8q9S9pynRC2SGjF9MNttwYdF5sJ/FcKsC1L63c95X330W9ZCMrRtOArpss9952pvDXHM64sygJakHLiqkywQl4UmKXJGJpEnHyGyDFtcY
    /5O66pu6TT7sAjL6/mzkE8H6qmczSYOw8YQS8bUYWlHkWDLpIbxRG1n4NPmJC6nd/GFBtg0+Ko+qqOdMg5DJxvY4km/hT1kY56iKjJoBVs39d37vAYknwz7xHe3D2Jeyfv
    /RPoJCkXqS6T0gHgp3JKeaY56Tx1Wv4W4xRoNsiJZsevGJ5mYeOKYeh3o68LAonAM6iSBGgWLtohdcfHqhISdxyi5I80K3OdAI6GNWlEhIglBfiDsEgpDzFPBtOfH8XCOe5NEv
    /ox8zZHmUSBctVPzAo4fMaJ2ClltS5d2WHu6+xqEbApikDMVYoLxLEJQx5nbH2jWN9gy+EvtQhAOEfPCR8eHHkqHJGqEKtxBeybe5UmjKze53GUPB1s8iZ/6vTZrAXxrZBfbZDENnN2W3d
    /1JNhhi9qa1GMORBZGovSlLax1Ew1VtVTWbLOTNSKzrj2PkVLRc5r3/mldrKMlvXcAPw/GdwOSXoC7/e7sccYAE3mKh6yJBAQ0EIi8+IoKtXAzZOKCrUJBRPC/67tcojvR8WyMw6wSj9aRc8f
    /HzGj4u50BSdh+mC3Rx4T6aDWGXwmuo/LRz5IPfc5nC0MYwbYLFpBw1zZPsd7uYRQpv9THPiYGjRFZLBG6G+KwOnnohIMjREsyyRIVsSLmDIilpw6XumXNVPmk
    /CDqbVVOREnBey0e6U04KMFJKu5noJnslq4oTuDN7ttl+lNBatKwZhzvh8Xq5HEWs9oMc1tgZwdxcHkaPQykpjoTFjNkNiddijZXEYmgvtwTPnIQhlmF6EzLDD1TZOes4irvt8sOh6F7zRsf
    /KSVcbv87sW8mcdip6xabuVNvyOFh3SNAXyv1j3+1WOzZVWpOpvFqW+9//AsU8zYapwHSfoHOviRS56h7QVQ811xwbq8jAFc1o7ulYGYJTbRc4N45c/fEp7kndaCp9qkhNT45eIE3
    +9akari5jqjBWarn/mGwXg2Cd6UIPnzIyFkFuZFySkvHCcbsHloCarWMvlrZdbE6ezmmKyAntMOfFY/GgT/1DxDKysovTqGHyPx/vgxXK/kxfBcxU7OR6VIxIrQ0DrTQb2miNQqW
    /MvjDnyGFi1p2U04B/0HNG8zPsZGZuls5NZb3x9j1hPGkN1AxU/aKVzd4E2kzWh8UfaASMV41b0FJqckNE5gS7ip6nJu4b10gFZ4HPLbXhLnsYv9XTHuJBTa41
    /dWycANw71SklK7846nybPeONqmj+RnPMV/iEtNkD+XZErfP4Vrmxmbm+034K7AgeOICjQQKQ/1nr
    +YPImso5et1YtesiNJeF7X5E9O4BirgUp7kJ6PaklwRzkSz8a0xsOpIhQiQaBUEjKBlhE1lboZmCrpK6K+YJuUfGjfAVPI8eSFy01OMcm1FqSkh2z5N+NmNNp4I4aHHuQ5amshOuVeXs
    +pSlOblF0yrdDMwNH3MuB0dfjju6B7n5NN9nyIwDq5f0eNy2tSfWlmLwGBdvSxoGcCJcM696UdkNP/Ir9h0Y
    /HhE1R8ugRYfIStyca777viowCBOnEONA5563EjQBiVlUZMt5VcZ6jpuyA4ud266jQCRtSrWix+nV/SERXWIymxlAcTs3ID273J4uuAmm2ytqNA1HunTrKIcx1HrHk0k66Y/GCjSc9556Nk9H
    /Q4rWMMKOaywslzRYfYDw53T43rAjuDBkrZ9cGbAhWTuv1fUdq+uk2tettKSM7udDrtv/3fwv0DG4eUs6KixGpSWAF/n+YP2h6m2zQ/FhyD3
    /GbNgW3x3eIoeHMms4Flpn5p7jz0fVkII2Jhpfg+mm6SPbbgQt1AL3levm7lY78axsV/plUDDW9oSvFrben9zC68TJcg6Gm9yxcGOKQfqDoF6B2LPzOFtFgYLAOWpiGFyszHg5JIcTbsR7T
    +e5rkRmaox1Nz3XCAYAyKJYMr6NA30bqGu7W6pFlNr1TN/A/wmqY8dlCzpAy4Zf2gc7J8/IZ1nNTkFeW7Nap8zi+SNO55TFAwC6YNmRY1mgO/ZBiZF+Db4q6nXGb2
    +gTagRHWh3NFoAl66PNuqmJA0FpyeTeHgkzUVyq4uxehyegORv6IMhECkrRbxhIuzix3fMANHpCeFjUjUFGtk+N/8LAv0lODe/+qJ5Kl///pzLTe5TB3RT
    +67dpEmfBO38BkViyeMl2eIxoW5AedNLkEkrry9rL3wwPn+qaivbjJ5ed1vlJFQI9W3glWFtl/T7Pfp/mLViA9Ehw+b0DAWi+5/KRST8mZ0xSQ2FPyrdtr9Y7+lHP
    //whrQ1TJdMxmcyf74PpSANDIYko8CSNksCIlNOQa1ONJyJPf+JYgotrD8GPwmdbDIEPBvCQ0toRdXTmH2PwowYRpBOWEMEukQftEkoS5bgZlvBalO7PV4
    /oywI1c4UZWqslewuvjHdwlv6V1jNj+698n7GgW1BgrNc++WIVclNaHC3AeUAk/YTne6eDxCU2PWJIdv9xLbTyZdYAe1/gxS0Tw5F1PHbQkwF7FJTsgpv9A
    /N4T3EHL65QQGyF3tdVwlNDhU2IFn/zgvjXdyznQzBS22C0eSXB+5NE7howdrJiOiZWlYMS4djDkDnKJRbzLXGChCoqlNmUhUfNOOONcV/HO9EZs20/jNHhB8nE8t6uJfvc6uz
    +239ALwVgpzP4sW9s1Lu/3esMNMn35EMoUffZcQ4zfJppkBV2pOKV1RP4az6wEdLLD99ze2e0q8
    +HjEFrLPspV0D8CVSE3VaW7mpxauRYYT6rrBZ9gZSiQgYUBevK3729OVtUMDnmRQNs5myUozLtZqmdRaQKr81D4g7zqbAHOtTfWTLpsY3l4Mnu83
    +b8uOoFkWsZ5EFoSFmo3un4jBWbMi1xnSjRmdwi1xnHW16iE9vPZ0xI18zu9bdcH661N+vBLCBVPhweT7nuvXQnQy13ryPuoxb0QuiuHZRYWvp7UVL0SqgZ9S/ENBEO
    /LkutpkveQeEFaokKWtE5uu8tXSK/kJ0JS9ZlOAjCbZE3Soe4FTqDYtDUyFdgkPKvZ/bZEOTz0enn0lcb6j2dM9GSKV1IF2d6QzDQLcZ41D0irLrfoICgLwrhVSaITNULl3uaBN
    +F5kVd7lAFm9MPYujvw/ZODDjCcKXTlpEpgjwwNOLDuRobPBiznQ+ba+5g8gAdA+yq+zBrC3Igs0QnoNlGQ4lo8Z+gBhZSTG+N
    +1qx1EB5fHnZmgxXdvkAhqcafHNdpJpmxOtZxN9LWXoCKMrve94i6kUH460YRhxFNhYTNUjnu6/YojBxhPJnvoccTdkHcYs41QnxEHhWGjeMQ/pgCXlg3
    /GIlkxMmPyIINIhIL5w5sUVjC31x55q76nfCsyp5z2uWJ0zCe1qTkovh/bArC2u6zTWGyKfoTcriuQQua3Nc4ItC8YZUCIzR9eXC/gv9id/ZfPjTWG1p1DhuDG8aGm4XBNLFQQlGMXrJyMZHrG
    /tEsKiHuuMvlNzLozbz0sWPGGaQpPa9nF8UIxPGGltnOMethywm/RKxEgMjD/Xx8nUHvlIo0hhTtJABNQNYAk6SLHw3oe06dnIvuR3rFgMmmNHk5AxnFl7sBvRPcH/sH0V6BZ
    /nTKngPUZQvcXsPnfcWy6Mp+lcPw9+48xR5NvPS4BM0djdr+gO3x7/EoiIBshacbS+e5JUZfWnvkgj3mINDVfwQpJakp4EcITjPRG7zYADa6wX1
    /JgnvMaYCJJ2r29ou3JhgX4AHCT1osXfMmWhb5BLuz0CmNLw5d3pm4cgLtCY
    +ICYpUy5VHX6lDcHLrjKLoquURTkZweNl6xssS7CAs1Q7VHFYP5KX4sg4Z630s6OADg5BnmaSowTRCHFRLdXUlm+Ecd8Ovsc8h4sHYs0uxtO12qBJV9hSnrc8Sf+qQq3dNxbGT6szaXbBJQQfj
    /iZDu4tycySMlz6zvC/7GAQoKIvA24yas8Wzv4aqfeEGuFXfD5IWHhsbBTBETd28WprQaWzhMQQBGxeO5V1itU0dzgZoizPTGUiEitvh6OO+++hWH0eg1pzvUJCthdcxYF7yCzgqf
    +BUnWJuJSfGqn45xVnESxV954ao/+QfNVPu3Qj59PyDt2QSgtMGk/kQ4jTyO2GQOf2uL+OAfOjWCp5JytCuvjRmeO/SP2bkdOgNYdLYrA5vUY+C+eZzUok0O6rN5U
    /LhLJeEQiAGENEP0hilCI5HTzr0FcO3j2DTc0PZ
    /7eroqr2BmMOafrABHElBOCJC8b7S4UoDayCBPcZwDhO8npBHeDuV8zk9OLdpNfsXOt1UyFMWu6Q1Ad7FC4m8diUIO2kizW7VroMGGIbndOn+8lAq0mlyDu
    /qrKVnGhEqQD4oCExKzXG4gEvYPOZiBalu0NHLkpkipifAEEQj76ZLMdk8vKuuwa6A6jlCwwvHEy0MXxz0t5btBqtstqXXfUOFkIIkBhZP84oKmKJ4QUuFWbSxGF43uH3uuKKFtYIVIuvl9fZs
    ZQ4Lnp+EME0+s9RReACS8MuZfGbsChX/e9AQfzVERJYRWCbTSyFETwuQVTDCUSYo8wV3LO2HNV6xV1mG7K1Orkp1EmAlg/r3/H8Fh3IO0Izm/X/qcm/U2Meoi5WBvP0j5AzCf/EXI5qWg
    /47E7cEwH7wPuD7VFDa3RQfKOQFx3tdEycatkF+bQJbXLQ8D6wBwfYgpRF/TdRdsCAsxtJhbD2glYSGEso0xDgHoKfzcAX2Tu9KZo4/aUIhyrZG4voCKmCBlXogz
    +za4YUKDPJfsO0vNYXwiypvNH23zYp2bPxMDuRLh1bXHeLuQCOA0EZjB2IB8QYtV+YhkPPSvHGNJzvx5SVGRnH0769yr8KGzZpnV5XphhBx4G63MWJpJL1xhbb
    +WiLP1zYSg3i3WDG7mTOpy80qiHJ6Mu98tsFHheWrE84
    +cWF3Yvy5YMJwJljJjSYZYEhO3KmAtylyDlj9Xcc9T8prRMl5jBvfVOh8BMmLPmdeshvzm2lTtav47w99PZTGN1yFyaFNBM5aBzzE9VULFkTcqSWhrT
    +4LQOByd1A7aXYCEpRTsYgpNKuSn1ysVOIwKkZ6wUiceAY2Ga70G8rGJJeRqSVh068re89Kx3RIn2+Arv2QgYfP/44UG641/jsl77LNLAsqMElVALQvhwFBQOM2J/IEDDqTyD
    +9YQXENmCxuvjeF6UsVm0dqXpKRsYsSLGU6ClwRU0L3cSqXu1gztJJHBnpYwB2N9QSmau5roWbI5RyWB33nvWPLTHPmXi7NT1jQwLeobwxU/9CWGsSjGTQCDv1occ6k/4dwuRHk
    /ICaqqDcUAueqVse9xwp7WuoMXUaXPukCvGDovc+gToW47CzRlwIok1MB5AbQVPDgzgWUTDrF
    /pwWFJblSoQWNko0Pke9K2Girrd1hmVdeIfGSIxSrj2M6EifkAKp2KqMm999vxVOehxYGYXbiZikc820J6QQfCwXc7dULBHhfX+IdOxoRWty+Z4naRn65+LUKMeI
    +7sdIuasMxlYeibiMzEZc6FIVWiBqAEn29oaawQlueWd0eHFpAWVTEhDDH0Ycr30KW14Vk70QQhdgh59WB3J74kWnqZY4zwH7Wn+CCvzKUQFbzCqMAhPhnguSTKKG+BL0LN
    /xPleRJ3MsIxtdNiUgVZOyWiOYaB/mi8V/5C6bLbQji80XVQLNpRrYOd22IvUT1YWwPrwNXva3UQMTI7maQnj1KRYF64UzEjhpDH
    +ybNpzRFoPlifabExrXQN7vYD8yAgndFzyvQjKUaNLrkIBiNDJA5Dmh3PxA2Y9xFuvAOLBjKDXFRAem8dKhf4aI6rphOrRBJ9xeZFfQhfuBeEcgZIM7avdLawSbI8lDH9RqrUlS051EILsMFb9
    ks/JmnDS0RCclYOBy4JmDdlGL4nUUMjJzJ5XLIeHV3dGG8g1qPeFtWmpL+aLkFiJXMtzEbpr5spCSO63tpbiJzxnUpGtBC25
    /D7vwrLPOcL3b3H5x8y30W9v5J7crazNC787SKjMgvx5AjnhX9dvXrv9q3C6wj6lVBlfIuuPNTngCkELB5e2Hxg3kySvDqO2VX9YCBjjBt4NmUoyYU3kBOk7lB8zDdEt3nJUFb
    /+j6iBE1xlcB24Trlw69mo6IYH/rPJ0iTUhOVWgbJdLzIA+IPozLaHcC9+vyyY6gFgJ8cUnWVqLpQar0e/3m870SmxXACUhe4PVZWFH
    /9gvKfpvILUn6lzkJ3by8XMHQapacCkLJMwPNVm4s5juw48UlK5fXo6wst/Syibag15MaxUV7SZvTGPj9/bFxj
    /c6GA8qJKX7p5XhJrfuvjcpn6d3aWWbqhjHYt9wGVgJ0LfUL1PaQBXbHmB4d4
    /Lk3kHJxRplKcYUqedxUrJdSQ6PlrQq8H8cVSJnqYQ24eH3HIhn9M3RexwR4Yn0WhwYF6v3enADXS9MsVDZTHFzJAgl/nx2NfDeOmnBWI6
    +RP4ZjyutiEKFjXnISdHDMUk8ZfnCl8RQ15Ihk7w2k2ecQ2Px7ghJgVSE28kmtMsoCef3M6+keMQamfIfzBBlRpaIGrGuM4Vf
    /EGYLVFbclVCOXFUevvJXPAf29heofz3hg4jAK4ktGfuZHu669iHCyHZUVMnye6IUR+eROtlSbnoLFSxwbuHW/0wCy5pBMLFYnHEHYsLeG9JOi1gfjYNgItyuOEDLEndRw
    /OlCH99PC6JQTAgBtyV/fIkEAO3emNU9sIADKKI4/+8fls7512nOKpHGDOlu3dLuP1TKDqAhviP9NSiDf6nbno6xX+GHDPr/2wZSu9Jol0ENz6Jyk+VBkEyjrW
    +2L6COUD9DMZtA2pMNr2GZWSqsau6RovQq2xdYElLDzZOzH7ks+01TZ78GkzqG2d0kPx8yq8oXipc+77WGW5A5m690dpohEFz0ApdfBZJnwjG8keQ20rMCp9+zgWFEv98LkhjmY3DFFT
    +un2P4G2OaUE8ispNZLL/ZwwqGOeuMLd7m9P+f8rb55aLfqmgB18GtCybmckA3W56C0Ih/BEwhOFwM
    /NVLi9qSQp8vP3RAK4CfKfLoCU8lgTLt7fIS3ChbYcRKgKaFfaDMT9LTqMnN5rYx6IM2QIuP0MKPKF993LRIb1/zLgWJi70no6
    +yMumKXZruvHTAEJZpMmthfWFVH5XZ5JRdCiJDSThRoYkE3JjXKJfSBG2ji1tcxngplHk5Psok3WoVCbWu5AiHAXA9LonsbppX5kmJOCeFddL5uB16O
    /aeb9uwAy6VhqXkOA173vh4GVWeklpoyj/UkBfxkyaAuTLz5PunGVQuMI+7kmM1Tvlovxa1k5/2cGRmYhn71q7h8geEa3x4iOP71WxKrktFPrtIDlANTIovBjNCtRar
    /2gnREY6Wk5CUtMbdG4H1am7DAyWCoA/bLv8OF9bxgKXK//uYiNBToEO0W3WvTth71Acl7z4+C3E9MgFct1ChG7AjlY8zT3L0q3RSWVBR4oHIRNtUvvlE5tstaEsCggtSdgVyLx
    /g3IpLMDUkoUWgQXQujGX1j71O0zGSCyeoixcYblE4nBPg7te3E8mO0Og+csdAJR4C8dz+96ggCnMBf5Mx3vuiM6JllQFUuLTZJz4G3jLXpCPb94p6c/8kQsjShrnMVLci2nM7Bj1BKXwG
    +snURN7BBB3g57b/royNADcOSYauHrxXxZMEQSrTtr7vHiHDTujRaUmbBF2y5UfEUvP4CeMdY+Mez6kKQiVqBJ4xPmnKPLiDTmtT5+gM//kelo0/xuPiqTGLgcjYfPQvRHAPnTr
    /uvoWocNZNJFPFfkDIGyq1P7CLH/CH/kDF5kqnKOg8FnPXBc3A9l8KOOruAq7swSF+q2PSsy3EQTCgHaXR5AISxFfLiOe7kixxF6/1TpRkBkF6
    /3TAExBEdJr8xEcgjiRtMYufcTQm9DUMc8QAYAUAAAABAAAOAAAAGgMAAG0+nQmjeIvvGmarN8cn2jckRAwtD1BYC4EKRSkh1YveHLZ7tDjYH94HDMEFNMU6rWtjkoH
    /WZJnCvCa86qgJDzQUzTqY5lfU4xq6qcaEjQ7ZjZFcAyTWq7XoEWCmVEJCoMJOVMxo7LAGc5cNqQ/vNpYUGdcPht62cHNUfn10XZBNwZ4WK
    +UScitl4fOm2p0bCi4W6MBH3atSPYBdIrK9eiPSXUdb7WPudQOXTYF2o5eK20zf7Tjcxti4J5coRe5co5TZwHxWLxfZ3l0oyGUA8Y5zgJuAzZRqevYS0nApOHsnY5nCQVPO2ke9t
    /CwetuqkQVIwTmWHWxoJmzgAAAAAAAAQAAXDQAAFBS6O0LAABVU1FSSAH+VkGA+A4PhWcKAABVSInlRIsJSYnQSInySI13AlaKB//KiMEkB8DpA0jHwwD9//9I0+OIwUiNnFyI8f
    //SIPjwGoASDncdflTSI17CIpO///KiEcCiMjA6QSITwEkD4gHSI1P/FBBV0iNRwRFMf9BVkG
    +AQAAAEFVRTHtQVRVU0iJTCTwSIlEJNi4AQAAAEiJdCT4TIlEJOiJw0SJTCTkD7ZPAtPjidlIi1wkOP/JiUwk1A+2TwHT4EiLTCTw
    /8iJRCTQD7YHxwEAAAAAx0QkyAAAAADHRCTEAQAAAMdEJMABAAAAx0QkvAEAAADHAwAAAACJRCTMD7ZPAQHBuAADAADT4DHJjbg2BwAAQTn/cxNIi1wk2InI/8E5
    +WbHBEMABOvrSIt8JPiJ0EUx0kGDy/8x0kmJ/EkBxEw55w+E7wgAAA+2B0HB4gj/wkj/x0EJwoP6BH7jRDt8JOQPg9oIAACLRCTUSGNcJMhIi1Qk2EQh
    +IlEJLhIY2wkuEiJ2EjB4ARIAehBgfv///8ATI0MQncaTDnnD4SWCAAAD7YHQcHiCEHB4whI/8dBCcJBD7cRRInYwegLD7fKD6/BQTnCD4PFAQAAQYnDuAAIAABIi1wk2CnID7ZMJMy
    +AQAAAMH4BY0EAkEPttVmQYkBi0Qk0EQh+NPguQgAAAArTCTM0/oB0GnAAAMAAIN8JMgGicBMjYxDbA4AAA+OuAAAAEiLVCToRIn4RCnwD7YsAgHtSGPWieuB4wABAABBgfv
    ///8ASGPDSY0EQUyNBFB3Gkw55w+E2wcAAA+2B0HB4ghBweMISP/HQQnCQQ
    +3kAACAABEidjB6AsPt8oPr8FBOcJzIEGJw7gACAAAAfYpyMH4BYXbjQQCZkGJgAACAAB0IestQSnDQSnCidBmwegFjXQ2AWYpwoXbZkGJkAACAAB0DoH+/wAAAA+OYf///+t4gf7
    /AAAAf3BIY8ZBgfv///8ATY0EQXcaTDnnD4RDBwAAD7YHQcHiCEHB4whI/8dBCcJBD7cQRInYwegLD7fKD6/BQTnCcxhBicO4AAgAAAH2KcjB
    +AWNBAJmQYkA66FBKcNBKcKJ0GbB6AWNdDYBZinCZkGJEOuISItMJOhEifhB/8dBifVAiDQBg3wkyAN/DcdEJMgAAAAA6aYGAACLVCTIi0QkyIPqA4PoBoN8JMgJD0
    /QiVQkyOmHBgAAQSnDQSnCidBmwegFZinCSItEJNhBgfv///8AZkGJEUiNNFh3Gkw55w+EeQYAAA+2B0HB4ghBweMISP/HQQnCD7eWgAEAAESJ2MHoCw+3yg
    +vwUE5wnNOQYnDuAAIAABMi0wk2CnIi0wkxESJdCTEwfgFjQQCi1QkwIlMJMBmiYaAAQAAMcCDfCTIBolUJLwPn8BJgcFkBgAAjQRAiUQkyOlUAgAAQSnDQSnCidBmwegFZinCQYH7
    ////AGaJloABAAB3Gkw55w+E2gUAAA+2B0HB4ghBweMISP/HQQnCD7eWmAEAAESJ2MHoCw+3yg+vwUE5wg+D0AAAAEG4AAgAAEGJw0jB4wVEicApyMH4BY0EAmaJhpgBAABIi0Qk2EgB2EGB
    +////wBIjTRodxpMOecPhHAFAAAPtgdBweIIQcHjCEj/x0EJwg+3luABAABEidjB6AsPt8oPr8FBOcJzT0EpyEGJw0HB+AVFhf9CjQQCZomG4AEAAA+EKQUAADHAg3wkyAZIi1wk6A
    +fwI1EAAmJRCTIRIn4RCnwRA+2LANEifhB/8dEiCwD6dgEAABBKcNBKcKJ0GbB6AVmKcJmiZbgAQAA6REBAABBKcNBKcKJ0GbB6AVmKcJBgfv
    ///8AZomWmAEAAHcaTDnnD4S1BAAAD7YHQcHiCEHB4whI/8dBCcIPt5awAQAARInYwegLD7fKD6
    /BQTnCcyBBicO4AAgAACnIwfgFjQQCZomGsAEAAItEJMTpmAAAAEEpw0EpwonQZsHoBWYpwkGB+////wBmiZawAQAAdxpMOecPhEQEAAAPtgdBweIIQcHjCEj/x0EJwg
    +3lsgBAABEidjB6AsPt8oPr8FBOcJzHUGJw7gACAAAKcjB
    +AWNBAJmiYbIAQAAi0QkwOsiQSnDQSnCidBmwegFZinCi0QkvGaJlsgBAACLVCTAiVQkvItMJMSJTCTARIl0JMRBicYxwIN8JMgGTItMJNgPn8BJgcFoCgAAjURACIlEJMhBgfv
    ///8AdxpMOecPhJwDAAAPtgdBweIIQcHjCEj/x0EJwkEPtxFEidjB6AsPt8oPr8FBOcJzJ0GJw7gACAAARTHtKcjB+AWNBAJmQYkBSGNEJLhIweAETY1EAQTreEEpw0EpwonQZsHoBWYpwkGB
    +////wBmQYkRdxpMOecPhCoDAAAPtgdBweIIQcHjCEj/x0EJwkEPt1ECRInYwegLD7fKD6
    /BQTnCczRBicO4AAgAAEG9CAAAACnIwfgFjQQCZkGJQQJIY0QkuEjB4ARNjYQBBAEAAEG5AwAAAOsnQSnDQSnCidBmwegFTY2BBAIAAEG9EAAAAGYpwmZBiVECQbkIAAAARInLvQEAAABIY8VB
    gfv///8ASY00QHcaTDnnD4SHAgAAD7YHQcHiCEHB4whI/8dBCcIPtw5EidjB6AsPt9EPr8JBOcJzF0GJw7gACAAAAe0p0MH4BY0EAWaJBusWQSnDQSnCichmwegFjWwtAWYpwWaJDv
    /LdZG4AQAAAESJydPgKcVEAe2DfCTIAw+PwgEAAINEJMgHuAMAAACD/QQPTMVIi1wk2EG4AQAAAEiYSMHgB0yNjANgAwAAuwYAAABJY8BBgfv
    ///8ASY00QXcaTDnnD4TQAQAAD7YHQcHiCEHB4whI/8dBCcIPtxZEidjB6AsPt8oPr8FBOcJzGEGJw7gACAAARQHAKcjB+AWNBAJmiQbrF0Epw0EpwonQZsHoBUeNRAABZinCZokW
    /8t1j0GD6EBBg/gDRYnGD44NAQAAQYPmAUSJwNH4QYPOAkGD+A2NcP9/I4nxSItcJNhJY8BB0+ZIAcBEifJIjRRTSCnCTI2KXgUAAOtRjXD7QYH7
    ////AHcaTDnnD4QZAQAAD7YHQcHiCEHB4whI/8dBCcJB0etFAfZFOdpyB0Up2kGDzgH/znXHTItMJNhBweYEvgQAAABJgcFEBgAAQb0BAAAAuwEAAABIY8NBgfv
    ///8ATY0EQXcaTDnnD4S5AAAAD7YHQcHiCEHB4whI/8dBCcJBD7cQRInYwegLD7fKD6/BQTnCcxhBicO4AAgAAAHbKcjB
    +AWNBAJmQYkA6xpBKcNBKcKJ0GbB6AWNXBsBRQnuZinCZkGJEEUB7f/OdYhB/8Z0QIPFAkU5/ndNSItUJOhEifhEKfBED7YsAkSJ+EH/x//NRIgsAg
    +VwjHARDt8JOQPksCFwnXTRDt8JOQPgkX3//9Bgfv///8AdxZMOee4AQAAAHQj6we4AQAAAOsaSP/HifgrRCT4SItMJPBIi1wkOIkBRIk7McBbXUFcQV1BXkFfSIt1
    +EiLfRCLSwRIAc6LE0gB18nrAldeWUiJ8EgpyFpIKddZiTlbXcNoHgAAAFroxQAAAFBST1RfRVhFQ3xQUk9UX1dSSVRFIGZhaWxlZC4KAAoAJEluZm86IFRoaXMgZmlsZSBpcyBwYWNrZWQgd2
    l0aCB0aGUgVVBYIGV4ZWN1dGFibGUgcGFja2VyIGh0dHA6Ly91cHguc2YubmV0ICQKACRJZDogVVBYIDQuMDEgQ29weXJpZ2h0IChDKSAxOTk2LTIwMjIgdGhlIFVQWCBUZWFtLiBBbGwgUmln
    aHRzIFJlc2VydmVkLiAkCgCQkJBqDlpXXusBXmoCX2oBWA8Fan9fajxYDwVfKfZqAlgPBYXAeNxQSI23DwAAAK2D4P5BicZWW4sWSI2N9f///0SLOUwp+UUp90kBzl9SUFdRTSnJQYPI
    /2oiQVpSXmoDWin/aglYDwVIiUQkEFBaU16tUEiJ4UmJ1a1QrUGQSIn3Xv/VWUiLdCQYSIt8JBBqBVpqClgPBUH/5V3oev
    ///y9wcm9jL3NlbGYvZXhlAAABAACKCAAAhgYAAA5JAwAaAwB0EnwaCDYK31X3GAsp2RVKBzyU2vOeVbVLjlXbCX5flQT8x362VCHQnZDvxDRSksSS8yQRU4y+tZgd5YrB8JYfxUK
    +ALUnjauY4G53cYDtTxFpsFov2DqpxMdx7dLyAogW99ID9wo474dci41R0IOas5rzKYeBwOhjfjR80wGXPI6lRqGU4hSPfCp9SY6a7S+rjuzTB9o7k/RGyyO8Y3jEE
    /CDthgzlokgIoESz5H3cyQU3ooqPpVMwCxpLPiJVZci7grutPLv9antoCvKC6CHFbg+Gsou0B4LKSiYX6dcvLD2MiLAa5PuB+8sN8jEn3W7
    +hAMS2rYHYmDYZd4lHKLKPW6FNaRTnyOroXcztctTA2hvOEUxnah2ADRy7TRVO9oh0j20t3rYlBUO/5sSr+8Gcu4M
    +tLMBinhPsxAapLlUG6UGGvJrHNGjc5Tmem6Zb1GuCpZdXQ251ST8CwwbPn2q6EuzOyQ/65ApD26yb8PJuHk0FpGmYEr/CGM9e495qwKqixrA9AyXc7
    +uXzC9INBttsnVATiU56x1O0qJKNx42lcwzRxHCLjDNRSQlgQbP4V0zWU0Uf912DxPk223yolrzrkSVKhPwEbR13jnxwTWKt2lKIpmamWgDbabDbjloZjm7JZniulnP1P09
    /QXcaixMNaI4V7AJeeP4TzcaqErDuTuw/cgZiLIYYJvRxjxQ9kJH//+S9Uf/7X6L+wcgl6NAcm1D+G9
    /FbvnEr5AiyOCEIk9YlAzvcXRKKlGMLJ0ZHwbYcKNcpChz71nxsgh5xpU7himKNfLcOvBi53AOS2BBtF92z6xl/0OPH1OGjMAVatif5mYQP2nBYKGRBsqxP74K/y92KPqKC5qNTONEK/nLiEa4
    +FNixzZLcxKaQ4anJ+7Vr1fAtj9keICbx8VtRHox90pfAD/ywBTWaY+ETTg4bFKwcsNXvtGDG9IO576ueu7Hxm/oLrv6c9yT2hhgWH58yFWvEPivXC34oAgHozwYlUxUqbD6ncPMg53Ix9
    +aogEHzl6A3BZXqiTOfvB9ZvYzK80w6NDrObklhlDtIWKFB46ZOa5hct6nVjiii0zOTlx1oZ5VsqpV0VOSh1VDpxYSUbN8jAzisdP0W9ieOlFf5Jc872
    /moni2uv3srRxvj8Yp1qTrG3VMlaC1tyEt72HBMiSV7OdgV53TETyxYi8uFW5jOWHc+Z/ykoZfEemMEPuci0J8m1cRTjgmKB4y184oy5ptDQlcafDv6NvcQixiCVk2DIsjkOer/j36hU
    +ttgrGciMpZefETB6FMZEX7j5ZX+WrUbzUgkVn1ZSsrWZoMnEXhgda9sU3vPwwRMaAwhMhvDodgJKyN0MWspfxK1gWucH4XiwFvOQmPf2dToQtHkVAsir6gYJjte2pm6JiY
    +2243Pff4RutUnFUV/0MAXxoS3YgPolfDmnNlv5h2RWX/8WTy3fz0/aH+KeUqe1qYZPBpnzt8SLv6gkyYvFmwFI62LO0zFQaKhJu4pyjHCbnDSCXPIJLWrjIMxrM9xt
    +E1liI4CUFchzvzaCyYFcRb7sWV2s3cBrL/4eEaowpaXFWsn79Ldn+OZTRcLs+47c
    +XSdcaKEG60n1EdnFUtkhsBiWgzjYUkbLokLMeACJTv73WnnTlwqe5kKIBI2mAy4UFn8sG5EvSLPYrJzfOdkW5RyrVe/ER0koe8
    +7EzCuVUxqwsl63nSt23cQkK9zTY4xZRohODoW36gGzqj1n43OvKvwgu7tR9RSbviVwqFwdl8ut/3kgXTAa1L824FeaiJSC9x0pP473FwXWqksJZYZn3/E2
    /NAylNhhg3oem6gAGf2QGMt2vNxrY28e3twxdzp4pz0LhnrdWspvv2/G8MAqHJPUCYYtM0um9UtXfLE7RyAaX8Oci14mFnazfsqhF4OShdCX+RPoSJemPs3Zl
    /q54k6mK5AYY8fr7wQr2VgDuFNdb+bD3qkxdLlSRyXuLRt11XVrbAC3GBBTjxSxtSDuhKAJAPGyam3wp7pYkKL7Xiql88wZ3qHvgD+awFTNy3ttaqWAtGAYEr
    /s3u0j8qakp9RluMsUCLcLkZPpfywHMjYLdgbQrvYKDizIGLzS0HWoJXGG+6ZTyRIA3kK423LvRWF7N0OdHBmUy6Dl6bOYon8BDvob9b2KkaFbtrOK9ME5B
    +mY0XjYhcCRqCMfTJftrVMCtWvt5iEVR7dkcjZnlsgBsBgAAEgAAAA4AAAAaAwAAb/3//6O3/0c+R9xEEMDACAAACAIAAA4AAAAaAwAjkOx0IBU
    +7hA2TzLFgjnnu2JusbiJFPtjXLiN0Qfbm1z8NM6ggDAg/h7QQJJcouRhYKmiH4ByinnXveWpvBxer1aE/aa4Oum0H/4Ha26Ls+eC67pjhBZfi4UL
    +5g462IejHQxXtfsPCLk4ubJZUxNVK8HaItN+78VIACNeGVI8szTtQZWrDgB3nY56LCsxKTm9V43uETsyRN7l6hb37lqGobBRO92G6s5dSHDjNexFs+bx5Y
    +PaKXoWjnfRX5nddhOT36yMT8tfL7nj72/G6Sgjz0Vf+AHRCMPBjqjg++1QorUYV1xJ7h6Dskt
    +31K1JR1OM0aQzwti1mrM9QwEQmMYIanwwQPz47FeeYgh9lMUWsyw2vpXZBoDfI0viXLert1FlwgiaSTmLuOLGhSGsClFhYqsAyccpYZExMKO5eXgpi8oM1
    +QAN2q3UeqrBwcJCPk9sbXzoiOVxj/j7TkgsJfvbmn9pdQtMKrScLbS2FE0i0jXr9dAk4dtVmsAAtNSHcmWcqkXdWnxmAKs/y+R1Noe9AgndbJDieIB4eNkEk9VAil2LaOp
    +UZBE0h1CegCaOYawyBmWQ1Wn7Q9VCUnpsTvnbFts+iIP/q+p/S94Mvm6VB3HlH0KmO4mKKCg7Ra3FOEH
    /xo1JEcciurOanMQ8rRRk3uuWGoPLYRvTpoF9ihk1RgAAAAAAFVQWCEAAAAAAABVUFghDhYOCs5pFKmjWhQ+wAgAAAgCAADgiAAASQMAI/QAAAA";<hide>
הההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההההה
XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
0