#1158208 (Rust) No.3507 RangeSum RangeUpdate RangeSqrt

• 問題: No.3507 RangeSum RangeUpdate RangeSqrt
• ユーザー: 👑 to-omer
• 提出日時: 2026-04-17 22:25:54
• 言語: Rust (1.94.0 + proconio + num + itertools)
• 結果: RE
• 実行時間: -
• コード長: 24,575 bytes
• コンパイル時間: 9,160 ms
• コンパイル使用メモリ: 185,908 KB
• 実行使用メモリ: 19,712 KB
• 最終ジャッジ日時: 2026-04-17 22:26:26
• 合計ジャッジ時間: 15,839 ms
• ジャッジサーバーID （参考情報）: judge2_0 / judge3_0

ファイルパターン	結果
sample	AC * 1
other	AC * 28 RE * 1

ソースコード

code!{
pub fn solve() {
    crate::prepare!();
    define_enum_scan! {
        enum Query: u8 {
            0 => RangeSum { l: usize, r: usize },
            1 => RangeUpdate { l: usize, r: usize, x: usize },
            2 => RangeIsqrt { l: usize, r: usize },
        }
    }
    sc!(n, q, a: [usize; n], queries: [Query; q]);
    let mut seg = LazySegmentTree::<X>::from_keys(a.iter().cloned());
    for query in queries {
        match query {
            Query::RangeSum { l, r } => {
                let ans = seg.fold(l..r).0;
                pp!(ans);
            }
            Query::RangeUpdate { l, r, x } => {
                seg.update(l..r, (Some(x), 0));
            }
            Query::RangeIsqrt { l, r } => {
                seg.update(l..r, (None, 1));
            }
        }
    }
}
struct X;
impl Magma for X {
    type T = (Option<usize>, usize);
    fn operate(x: &Self::T, y: &Self::T) -> Self::T {
        if let Some(y0) = y.0 {
            (Some(y0), y.1)
        } else {
            (x.0, x.1 + y.1)
        }
    }
}
impl Associative for X {}
impl Unital for X {
    fn unit() -> Self::T {
        (None, 0)
    }
}
impl MonoidAct for X {
    type Key = usize;
    type Act = (Option<usize>, usize);
    type ActMonoid = X;

    fn act(x: &Self::Key, a: &Self::Act) -> Self::Key {
        let mut t = if let Some(a0) = a.0 { a0 } else { *x };
        for _ in 0..a.1 {
            if t == 1 {
                break;
            }
            t = t.isqrt();
        }
        t
    }
}
impl LazyMapMonoid for X {
    type Key = usize;
    type Agg = (usize, usize, usize, usize);
    type Act = (Option<usize>, usize);
    type AggMonoid = (
        AdditiveOperation<usize>,
        MinOperation<usize>,
        MaxOperation<usize>,
        AdditiveOperation<usize>,
    );
    type ActMonoid = X;
    type KeyAct = X;

    fn single_agg(&key: &Self::Key) -> Self::Agg {
        (key, key, key, 1)
    }

    fn act_agg(x: &Self::Agg, a: &Self::Act) -> Option<Self::Agg> {
        if a.1 == 0 {
            if let Some(a0) = a.0 {
                Some((a0 * x.3, a0, a0, x.3))
            } else {
                Some(*x)
            }
        } else if x.1.isqrt() == x.2.isqrt() {
            let mut t = if let Some(a0) = a.0 { a0 } else { x.1 };
            for _ in 0..a.1 {
                if t == 1 {
                    break;
                }
                t = t.isqrt();
            }
            Some((t * x.3, t, t, x.3))
        } else {
            None
        }
    }
}
crate::main!();
}
fn main()->std::io::Result<()>{use std::{env::temp_dir,fs::File,io::Write,process::{exit,Command}};let e=temp_dir().join("bin6EE39D04");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"f0VMRgIBAQAAAAAAAAAAAAMAPgABAAAA4CgAAAAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAEAAOAADAEAAAAAAAAEAAAAFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAdDsAAAAAAAB0OwAAAAAAAAAQAAAAAAAAAQAAAAYAAAAAAAAAAAAAAABAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAOBDAAAAAAAAABAAAAAAAABR5XRkBgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAE4KYg1VUFghoBINFgAAAABgXQAAYF0AAOACAACuAAAADgAAABoDAD+RRYRoPYmm2orhgzJO2QXBf08s0AVXjs4nezXB3a01iOTD3L/mh37RgNL28zO5SgZBAtibtUUjrIGr4Jb9eFdQMvoQuH4zX/BVqbxUyE2q9u0BLLPwHGz/lxJD2oPZhhENsFa/6D+Zv4Cc8y+JGWNYAeuzni7YIPjhx2OByzDZT1D++O0PSEWqdEe3amKsFZrFfjX4vNnWLQlsfg8WCQQfd6UsKjkxFXYxBnwYAAByCAAADgAAABoDABebCSYzcaYJgAsdMk81Gr+WJiGdKA8VfZY7cKy0HRNhBG4+cOf94hUKx3RvhXPzK8VKAdWRqcuwhxKicGFiYGqep6HAKnYgxZi9eHQKSJO8Oz63lxNViNA/YviZtaIqNgen2+4/DZxLf12xEooD0CEWFPxtOdFW/qmRwmIh+e3NblogYzIkIIKO2GZPqb8r1dPRie6iVtIZ2Ma6MtIicSLq3yH9cDD+597Mea3d6NbnTF73EvSdFBCTudhkzD7n1R8moXSUEAJuLjjWlxII9CqX4QefzcVNMGOWTLkEAc4gcnTiG+msExWarSkwiAhjFbuAYrVy5mZTyj2jtkVkWiSFdUTq1gvO6xcZfW5dOZ2AaSJvGvUEgXB+Rr7l+UQpQyTYZN3zHzz8YELpDT21cADK97AavlFifOY5noc2lZgCf8X0HtRJMBnaz8tC+v3x8zHd/3E6ksDBhEuuqmKwfr42S7gqUqPnN20TGaQtxi/feuVbEy+4HfVTdk2iFOimo1244zYHRHRQagkZ8lPTslDYjQKXBcgEtcQaQUyAZObPDAZfKxMzGaKqjeKeSNuPiCMX7j3qK/qaycGVrma8a8PIPWw5iGxRavh5BjVLbtN8P7D6p/h7J+FPLwAgE13LxDHQdJ1rjzqurtX7Z2+1I5k2w1q6vpVWC/USmKBXXzuupcuB6sAZFYqFh96yafJOhDO+U5bNZ5Wv4+GlMqQsKIiEuI+3awmcWUXPaCBM3QEkPrKkmsZ9Rbatp0FmTxzb0fn6oleL8FYVw2PWTPDAKGR7KORk/m7Fpp9AIuk/BXQrC8ibshhz+nM6+Uk1EdpL6eP3CZtBks+XY6BPMtWfCFNWLq3Lyh4xLguJ5tIMRvhl10mNyMOrnIEbcCf8jyc3up60kR7qZ9YWiasV6fl/nU3P8Uk8vc4q6Vm0vCZ6Z1BVXCwMqefIvnr4GAdoup/sVOtmIv7eVmr3D1oxIrOUQli8yvHhmiPUbvNF/kbe3S4+oy3RGjq12789hiY2QDRLXxdPrIuweDwmQSZMLjso4Yn+Xg8ndYtzI/+04T1TUEt63qugLIp7cd+wcALwwDIHBOSv9A4ewRfdkB+15rIy0CYfX4Hs0V44TTz0IPxrK+818HvViZE+71lTnSQohJW4xW7pUztqPZdqO4uV8XYqqwuu2oaN4fhey8IhVli6z9z+1w7qPSm+DXIv9rX+4wlocdl0AdGyGhkveEEkYc0obrEJZmsTKZ/SBiLArJ7uwTVvVFuEjH7bFVFbrKmzBcaQ0PdT8sjWqHN7WsXBBH4gFNQHjf+3ZWlJJD7NuRnKsfBYnhKkh+V7nmfRnJhVKC+YRMMVXWy+2m+GyTaT9OS7/p1mrR1ka7kX+XHaEcliuJeU6DMrBA7DIIMwN24bpxLGX2jfHK6WDtNBWjIYQoTdmuAT6vV1xfJI5OmlJPpwKhnlu6Aj4KHsZzBedi5NZ4iyQRXNMqjqyJCsstO4kDv7z4lwn5R/Vg12i5DFdc/7HE27qw7V2TnJTpS7AH2Vhjq2f+s5xMKgdxWkMdcACivgAnXACRiiq60us1b7ic+d4jCeIU5q66Kh8l292QspDavALM4otnpMY/cBwQNezYHe2ijOJGWZdqjt8eFlDcuHu9UnD0i2ZHMWwvShM8C+NDxp7g8rGw4TKYuCaMG68YHHTj2wgJfyrEPgG07rW+Wmr5maL4yJTd5QLi0m8sIl60GUQD1xS+BX235EHWxA4NiZiD6KkOmh8oe8vyiTmLyBnKzF4iWXZcfXVKi9A6XV6EqmQ/9rAa8esX2QU/lLlGs9Ne5DMQsb6uqHkSTJtMEPdOFKPhzyjSH0NQ9+JRniecCJlMl33douWSPKvQnWubqwx1UL4JQLhvsTyg3gaHHclDVp0ZXRce1e1w38NNaZKoGGSsTGeUywU2n2XChvkdhMrNrOGMPI12xzlMvFIRsXZ4CgqLtfHZ5iiS+gCbvOQDBzEQo9OAjYPozEc48T6aXcFwJE2hfM/JTL7WXV0PnUD13vC1kvRdPJlALn4VMtoy33x74vxmBNWKml8uTf56XHyKRMrbNuajs0VhS4EpXwCFUy/v0C4OcErudwNOjeBp9pCL5F/NwhJkVS+rQEadz/gvJBHklWtzYyOUvsU+1v8b3N3/IOB0R6IFBmZZLqEZJN5EcTHhzNTnv3vVORIuvOraAwu91qkr3XY/oeOHxshE7zk8u9WmXVR/XocLUXYtM9UAjdN4Ygp1tR5NFSpqJDQanZMAROLgm5egB75moJOkwtpWgctC19+pTa+LU8xkP7ioPDmzi0lQ8wBPHIX3HqiW8+Z9ym/l2Dn79hlE8igQG1VaHGnsEISPNlBws7HhbTevRv2ZP2M69JmCuLgEPLzFuS/pE2wsVw51dhfkwGGNRMzDhp6zajaUk8dTaPArihnIqQ4v9FHrE8GbCLLRo5Aoc4kP+jwFpXHn132Xb54jT0iXk+KM/esOrQNyxd5ST6CPAEEs+FzF+FH7ie3oE7J+ZCknp0NBo2S7Bvsm4vIqihuKoe1ZMQw+yFszhcimS5Na1hfjz5kET73kYytCxNfQuo1mX4n88Nx4njOQEDRLfIpHm/KSnDX68P1Bzn8XvK1yY0rZ/fDeDToSjSMLB3PD887RAw5JsqLjOmoBquuk6rNh3QUnXwk1jqplNNZVJ49yN3znLPyldd5oUGVmbZVkpQuJpSWDhKogAP+jHvorlSzYv01prE7y8JVmBQXI1CSIo9AtKvkmTuuTf6iJToNt+5+dH1jJOmRT1UXMe+6dNr79xjicanr2+YuyRNNAiTgbnX9NcbReERzKYrI86p6AwQBYF/nO1ElETAAAf5gIt78E/DJiT+XqGT1F473AAAADQAAMwdAAAOSQEAGgMAeYO/sR8Mf3a3p79wR6K6BlOQambjLoH7TO7Xcw0xELm4UuGQWTTkBE+vsvkCY6UxfqkFdhgZjuptDnDxOCoFl22bTUDXdrJRFoX81cUbiwa5hdL7Zxkf0YVt6jmFN3AcjMQibJlAWjaUodWmBpP5n74FvxfqMrdcemqIFH5D7erNnfeiWZBhcr2DhQrok+vPmMrrdgQYbPUO/vM3gJ3d5l5zwUvmqQf4dBzTDzRHZUgu8uIi+YPcfAVqi9VsbX+5+Ijl8S2Ev5QmYtHHmMb4Wk9ND0y4nAiJYCNynbYlLFmUyq8M2tDrRhVM5jF4DlwGYd0FlSX/faFSM0x2MjG5OwIQKBzx6AiEWKmXJu4x0VDCbcMBQ3Sn+/4m2WVB0PBWz/1lzRAolWCjdYePfJc+ZSNI80ybz/HS6adqsKniGxrEYet4zao5inreEymNcqAXNxEb07PX0EL7iY0lHm3eTZ06Kqx0t7tLkIWP+BU+eJpIQB8abI5eu3VkxTGKEXSA94m7YsdXP6Sh1w8JItOWfliZ5NCsDhFRwP7MCAVNmIcHMbtOVfSeR+XNrruF0CUmxm0Cm13HnxOkAHdBlUTBjAunegm1Mqo6nCrtOStDv+6XNR3+e1b6doFfvNe/zDvFEsX9+KlLw/RDpR8LT6Ztv6//s0gEf+O4uNzXFc04xdLTzMe2NMmVr5KquSUPPZDQZOw9kMF8taQL0DtN0f0frQHIxXAOQUZcnoBA84TXEUJFFuScUjP5zktXizE8DvSFrPfUczM59sCpqAyLBAU/nORKlw+UFn1mhQdYtgeXla62CPXFV1yMCGOzdUHn0rbScufDHBAtK4Sn6zxs42AvK9NAJRt+ahG8IAIrNtECVL0OP7jdNgXOydgyOosduV9eS0hoNGNnAPzubycpysFvi99jPrVceYaSeZewveL1Y/0ZP/ntnFfp6B2bHwOj7jw0Vle62A5LGKBvMaf98VB9MZcqJ0xx6Iz7codgixKqyxspb36cvts/83RpOszbXVL1+D1cbb1rsJxI6gfXCVKzOQGp794zNGTuEzfVa166b3iCnMs0l+wC1e6LbeeG2NbcGtOILnnwOjgvhMMRW9vQzjQOr+dVTkLsB4MCMHmvxpelftp7Pjt2DBtoIbMWEn0/tvf7xxLMnNp/Pa5XBJhQ/6UYXCo1gZKTSKRCEkg9WU2zG0PiEs8qNjp6zAT0PEkVPQvb2tTDUhorPpdGNNdCEfa9LFWG00vOFmepv2bUze7fpp9fQ+TAXmAJYrNmlV7SWKK+kFXpRBJxarW2BUrPtQE0+SVaP498PPkz/4Q3U/0l3rRO0fruL4c6dsdSPclhdjkgWICKjIiDv4F8OMjhIJ3m7F9klwiq2M+gbNIUsSxjbSwIx7XX5FeaZhIlY/b50yUAlEHIU0BvDWgwvBxoZUpxX+9Gflmk1Xr8tl1LuBD2+EP0F/4lZiocDtN7BwL4/ui68S67TIujYvNUIWEbGyavH0ekLGUnE0Ak5bYsdjWAXcDA741JqDfy02xRlMpRsSP86Noq1EP9ClDiNGs5OvzgGAes9qRl6+RNrtsclO9M0K3djZdTbgFxt4PwnM1TK//rqP9YJwc/l86+DryiItiOWkQgT7Avn/ZEs8jDB5BpWq6CQiJkfsV2Fy0plHuj8cMgMjCyXjSNljH+iJns8gm80E/l5FmGMYQZsvsnJ+oomkVodM+ssEwdrqpdO2NgSF7CR+j/PoUqMTMq6FNZU+Ko0UJqyyMHAHFn+JYtD6qO6nDD70NBazkxAhCN1RB//2be9RgyLLbPaX6XUcqaa2KTY0bMQUhr9IDpjz5QkihZj4Bf0p3mLuwYZh/WwQGx4SHECapMxh/cpO+VfpYqk562ZLRySmPaYapg/JZcZO9mkqXj4AYC+zcAklICjLZVTs1cUBfnPPoTqxSzOl6EgxGLp/1tbWa+DdNFtxhLA2LopzYs4OBIm0kgucnryJDtyzTB2+7M4+Hch1KiTOI/BOgxqJ/8JGdWK20eOg3xKF99MdmY3lu/Yfs4M51QSimsbTT9MA24FnKD8WbL2mlUa6Z5Cp0vvN1pOaH4vtqe4pciXd/G7UsHIEgJ3KcE2oEevpM6RPqA4/zqKU6IEuDq96zbFh+djm818WYZdl3gjzc+Vgc4Q/9PI3o+lxEGBhtNFYHt1oSDAZEq8NK9dNaZIhd23fCpJQCF8frBRxT0zDDP7VWyM7IlP9F6l3bgPOyQHJEb+8KX5lk6w+j+DZRCJSqiCzp3tH0NdHA2nqlAkwouBcaVy2v6zMGEtcFWN5mxtUBgN/71NIAdp1GbldfLGS04Oq3jQBaRPRE+VjsXvfDHAvXfXqH0ZBO+zTZFB8+ojJkdwYhcaKx9Dz+8Ig3Fs4clQaRWwijar2wCT1k3Hql6uViZCtcdxJYzmhlZ07iJX2/gwoPkSnmv3kunlyXIU6jWi9JKbN2wJotqIfUQsTR9Ice4bVfjeIEiTiydRst23VlM3dFIDBZ0BRCYIOTWqcBrXGepCqE62gic+P8UG13zQeDHRVqKk+98U1jnZQcvL5tiU6/5sCNpnTLWQzAhdi0J4YmgtqNj37ctlszBBp3jepSE/VqM+TL46LsbYHli7hkncBi51qRba6h9n7RwCXG03x8W+SORGqvuO+Clmg+lK/PW9FObLuyzSakKyce8PH3Fc8npejGfv2b/0uqa2siZVIdm4IPfUmnj+tn4Xbwo1t9pwqO5QJPSouLOLyzEM8rvo7Idk/FrdzyONgJC2BGBfUl6ymrymX/bojShwBwhzcxZExFygnhj+dcnH3Umxg9CtxVVgWbku/obH6NhR/NTTlOgVHo/VWvxlgL3bxIbIX1PMEzEAUOkN11yxidepdmhvBH3KvdqMbBnvVOEJiT3AWcY7vew376OlrLuHucAbiGsz2ftjFar+gjAjKVAdy9mo/tNvQWR8QaoqT/blHOMvpLYfD8f1X/NR0PLmtDosGlU5XstP88+U7bPxoG3eTaPY4jPjckflfb2IubqWj8qlgu6WAt7qlpcvrycFaEezIHDTpUs2STwuoPpy1bRnnbfji1b8yiP6pvGt58rxt2rViwZjw1pylOpAOxyudFUTCG/Rx6x//NzwZZNS03LPT5cwbBEnu2sfGKtwPLrB4Q37ykpYiogudx43UMJEiyJTywKhfKhfymPAKjVcPmchwjVOYt8QgQOb704ddUvoiVSFgShismzsBWj1xA/1HglxCvhVsYAUdPcuVsc9DgpbM/cuKT6fZBWgoTbnBWl+XfhzAvQnse1PDOUVYJG/v/dRFKV0UMClZr1WkWjot1XDD2m1JID5K4PjzDtLG8Hok727DdgvEonU/GuE8gYZSDFgTkjfgOP+g8PRpI10aX1IFgBsykIKQn9pvg+U0MVeRYbsczGtQUBOOkPCtlPd0VI8xNeBIfJQZ2kSM/qbKH7rZXnCOtTTTKHzoPwsrRNDV39+LavN34wwWbT4PwntIxEGRbJLro6j8gFrNb3ynW9yLo8ccv97WPmTCYPR5D9tHXHMaFQCa8ME4xsjR08RlR2XHVC7wqNz9EdQ8LKpQUvHTzRCfr5kKgc40ql5DtLLIfWkaDzVqGqIqFvEgGf/jEXoO9ch45sWIHOxM8Ml6pt6Uu5AW3IXZTFHsWyIxdvLYEip8xikB++NptN0SH6cmTcFdasjcgi3mOJ03ABvK0tAODpscFvQ8C30sY5M32gd1Q+E2gzO+PmIcC6K36lJ0gk07byUQ6QPw1eBkc6IVATwOuCSKv1BVLwIrG7VOVoVH2gF3/iUhG/KGTY/hBKMX7cFJGyvP+G6jR8UVAFLcyengKrikKqZVZUdnbX8oqMlL3DcJiO0bPRZKvJ0VTmJQKmOEaPxhUzvxeVQruG9NYjj8Q/gTJqVX3EJ96l5I7RLaTYaLqHTZvysXFCicDN+VhPXKclE5NewRz0SyiuQWSdul17P3k3uQSo6EGxTOR0m/IyKuERjfr1Ap4+qr77bx5Qu3xGGtENZYZL0feNGTKmNYKXIMd+2P715i4wmfGw1ccc+37ndgPwiedZuAyhQ/JsVcmokksJqpXayLvhjFOjAQNXIyID2MhPIKCjv8K/NFSZqHz0Hvx39jIDCSLasg0amdyxwp8AGfDkPGw3woqCxBj4XdYjbTKmqpctHJ9+HOQpe2BJt35nBvoNvqMAHrlPHNd39dFbgJ8fkB+ZG9c9ObtzrNdut5gxMOKakht8HGRFRKLai5008IToLQQhNenfp/nERYtaY97zuIvQ0XIlPl0maXmYARxHWUFagcgl9pv1sn/cpf/S4zX2cN+UEXUUH2j/gY78oOJ6AtUMzGFqUMJcai8ONF1unRWrXF/w7bchH1PPGLOf5siBjzYGIFXRcDZCqvphR0uLZLokG9iSIUdkwZc461M7PF7X5JHB0NM8Y2fOL5goeN4UwMk3mFO1yawKr8v2x97ZYgcFd7mlM5dzkYtjYkhYaHaKAIRgScdgTecwW08LEePYtETCohmRAFW2GgAqs8bWmwtPm7tGWVlQ+87ow85TbI8suGooMDKtme7v4hdwTcQxm2MkDDxUhYo9VsMLTn26+VOTzE2SD0xyKPT2ql8eU1xB+apdgI1oiNZAxRl1CGwuL3FMraWC7qwpzJZjvEWyrRZK0OIKPdrozuWNAY8lTIfk/y719k0LBEb82LIU1LHd/2sbW2sAL/qbO9zXTPzlCf0r7F1MxsER9qNtpXi93TGJ69JGEwGSksd7susOPVB9WYpEBwp4uKLRmWgnUIrkLg4Muc+NxAGbKVSgNj6iV4yDHiUIIJ+bOiRyag1H+8wQF5ZCqHhHbzCQGiq+d8bKyUSApoGwT5vJxesJ0SzU/9FVE/gKMw//hyjDu0P5KYaznjxhiyYllGflndzH8nkwFFvEY3SK9pdqe/TsyVSsB27mDA36r8OZZOgAqCGec05bG/YVgBruDrYZ/qy/ZjuPtXuUmwhtigsh6Fj0hf68QEjP6tP+63PBmdZp+mSLzOIVpghWbxfu68+F/6QfyYQ+Eb4ROiedJPWl+ew0q2gupqpriJCozk6fVEoG2yFuO2ZCJZDCk0rPwO+NFeI8NWBAq23pBopdBnTYgJ3Or/iGFn04ewJI5W6JJr8swaDsRXulUBiSVN4VkPKNXJgmD8NRu5DAl4UFAvuaSfqQzi56opAllL8nPsLLFBDeqMm8qoYDGaMPCBgosv0n41Xx2bYrh9HLFNfrwj0JS7ea60t8S6Zd12Nl9KGg5wthhK5/wdYxJ51rTBkFNtFFnItTR/OvmOercqhYV7js41QDSc1K0QZJ1+V0rXSC+hCqfY6UGjD9cooEDzrU5EXWFQKtqK69KrJYHQlNivql2sH9+ViUPgwxjUrpiMTQJhWRoBbWXhdzHOzobLctvpXNRxCc5v7DUPXoeSlYTdCTMIMRAUB1SlphzSm28tXCBsmIzhRVeAKCYiN21DJ3jxLwMOKY+jdJSrUwmdahZQUlDUoxXxFH9MT3l5CT4fMejRgtEm3SCHBCrJxaAj9orfElYM6TRRAjBEWJCWEzckMr29R6gCdibVImDBJTlLM+WZt5UM4HgMQwHYor8QPVti21U9GhnzqKTYeuDVFqvPzW2Eh5kUpSgtXjndG01dpN4/hK+KtZn+HQGp3HzXeD11L2e3tTJlx1vFgBNR5au8ruZDAGjlkAibJITdB13VgaVP4nOXAzJ/IglwPgtd8LIPzoR+HrawHwfg/vPDDrG3sExCe7CPyzRahZx6vkdU2Rt7I7xdR8wg0vz2Qj+WcFd73XmXMsFnAbRkfJN158jybbAhVqTEjuI4MljGYce0oVEZlusqSmuHriMWYuS2u0ASplsYKhk9F6m8FEtf6hBrVJK2IzD0WON7UTVpOk0mwKilzs+Wj1M8wva4i69jDfHoDYulFZ6f+khN2jZ67thhTqObM30Uf/+hH3aWjAoEOJxnPlJ+tCDUVHQ4pmMecTgqRFaj8q0HCSq8hT3tT+r+IyiyP0cFJU8+dRv98ZniWD5ct45LcmNJS69h35s6deGVkiFaya+aNCURRVfg8ruRTzQ+ZCzNleIIltR3CiY+HvfxTshlRlpXmMgpVXPmOSjhqb75FuOQVEWdk5UrJ5ThaC5avUGWmFlqTvDjPL4INiI8bqnYyaJfxsa6le3hX5shSpf2VAI8v1h9r0RsK69GUixV9VRvl8VorLvKg09DudqIUVsfsNd/xPoXQJeNJA8yovkSVcpVFW8IILp5Z20dVmxHV/Ek10M1Re5JXFJndvdoy21FsbsxcFWFF2h6t2rWImPy4GfV/LROY7uY04w36wDq+C0BlS0O56c0bl30whoo/Tt8FuwFS2SRukUle3xF0lUG58hjqzFlNwFtLerzAWLXhuBYUlTqD6vs2Gp9NQSMr3WTCWyPldG849bxtata3+uSpFf52mk/IUcvNMU3XheEIBAgPSqrGeuLUBOHxAPn53Ic2unv+6B+G5bGro3ZFaQxVWQloc1f7Deuvq+PJjwdGD0ejbWEZEHMgDVMtZeqWbPvBcJX60qHPiU+tVVNR8Su7JwiQOwJTqS+a4oL59EW/YEeKawR1noTk4cOfJ8zvWsvl7aR8cXJM0awBhGH0M/atyRDJAQp687Q9Ys4ao4o9fRv0KH7A3Z5pMg+jKxp/vCUBQeehldN/el8Jh+LMF85bMv2Di9KDMXXSTQ8OaavwBP5VUpnTGYGIAIEQzlZtez+hEVOm77WYSI+Hu+ZBLPglk+sUHDAcHP0QkcV3KcmLn8NKpKF+JphQdO+MaffBLGRtDSNyE8Zxmii60QzBudGEQgy9PRU1RwRGYUtaZc4TAEi6AyQB3+R60VofwuEWxbWWz40NM8NIt8mMnYzN+MZCTx291HXDX6qYMNTp3wkPgONdHBB5uXN2P+EWtmJD9aJXkA4h8YHCE00meeqAR9YBYdAHC9ELBM+ZPoS7i4jzJZTwRr0sdqhK8ESRJP+badwEZHJymj5UY7L4bwspUGB0EQB9AgAUOVIF9xD41EFpAhwJ+raraW8tiZwgaEDXvVksf8NAJpuab9UMLOWvW5wWoP4nP828XQb4/41+p77h6aaAl1qu/fClw94FWzO2tWyQANAvvuYre1O4FybC4QddZlrVySUq4dn7jCsSn1kI4Aov8lw0xcpL994k3cVu03+RyHZzJma0nnFS2fn3fCwO/pVxBD2bC/5gnIXW7gDHlP/ag0vIdLnukcZ5/CvNONmrP46FMbvrxVbIB/ivxB7vjb+WYNIm3chtAmLLpasgSc44fPPiH4kBt/QdZ9j1I3j/n4noTHdHJGGsPhRE6OAwJD0KJFJ1BXmxdtEHBQOfMh3mbz8avw3LW6tHmQPjNEuHvjKgONRrYv4DlsHx2BIttb1B1LTJFW/CY52mPWJtrE95A3lRKUmT8f2hASOibAH5eYF8axPKuED99M/4XiH5ldux9E1nYrBtOwqdpMpdeli7wbHxNX8OU3h3TiPGcQB/8bFq7jBkNlAf8oxXhNanaZEbT03LwqTlbWDlxFLvblzokVzBbm4oraccGlmNBY5Rjmvdw0bcqRYYdQ2281XZDRCe/Foy2XYMlwIqI8vriumUV4z8S0zhpOaMb4xKsbIvJ6V1+GAh4+rKpx94ionLOwCDZWE+NPBM9OmQC9U0fm16HQLFiEdZHMxfet2iqKot752A1NEGAgZWXjq+oeNDCSu2TcNo6p9c+XxknTiFYMd2eHnZydonb3eHjMpLaBo3VY73G1eCuujYbeFGnNUn568VzbzKY2UmO8hjnJDZcu160NWcHh8SFS0ByOfQnXDOh2/A6mDkPKvmxiIYEWu5Kv7HDRIyvU3PI9sHv0o/gvfV1cYnToGZkZbxMdu9mi+c7EZB9D7f+AuzOFr3coJI8cj3MgMgEnrRA1FtT5oBDWfxfWq8QQmzWa8NPXIYIuh2Fw8+8GSlf7OWkILTpJSOfPC3GnBou1fTBLToikOkfCj+mqgHNaSHQfOKwtpQUtOHqVVcIxOGRbzbX1Jfrt8agqDENspnF4uPIeSA5QI0Nm/p/Q0EeJqEEAvJN7spLikonPSKtfp+DJOebw8fOSFMl52Ckzi5VNN8SNfXg6Tc7CVyDU3mA1X2DEz4HZpP5Du4iva4AYYXc1LQJm9ZgSZ3VsSpMTtTy+AKV0Mm3onNOtRcx1lkrA7VV/kl/0LS4jvxTcxn69DfdjgKHsGgsNavZyIuKOp95D0Xwd6AhYarQhATBSp1pEqkFAxyg9o1SjimLJA7hId+P5rC5PONWqU9k9guVVx41xEMsHpoh1go7h9VQzW2TjmgTt+bYiV0C+489AaZEliN5ECu5oNvkFn4CKcW6bxDuQMWZeX0qLtt3KFuLdrXhyqMa2vKiitHBdGNoR9d0e32JAbEFzoIqiuiIQ783V0+DlGbvrmPTpg9d2YOZ5yzYmGvFsNCLCc5lcEXeuJwBTmr5Bc1xxU7ZRo1FUpCPH5CtL2qhwxNiIMI/NLTLhkITiI6TmES32XwOsjFSbzuhO+gS2BDj0nKC7gAiqPsPK+siqNV6eSecSgshFqSP+5DrVppo2trxfB2Z4wbm/cUI8fmnqPu4VATGQGq7bhm/zI8Tko4cukWdRDhFnTpkSg5t3B6HAU7fZVX+gGxPCHRtgs2ExWCkD1hXv6KQR+bnau3T5u8sa5QggXkw+8cZth6Lq5tYxR8grJKMmoapDyJ26XQ2oPuAmJfbUHaHAHOkwSNKZiRsEgjbZx5E9CVrJbYWxYsUeZZ08bGbwwPGkT+ZiuWhpW0WMZsn1bkURLJM/sd8MJ5M9RBlkcc8aNrTyQ2obj8SyPf6sZbhwKCEu7n2TyW3dkY9YkMjLHrg14jKjEyTYoj/0Dz8ju60eaE7paAJCL4y1KcHEqJGu0ql1evzjuM23lIhjKPv5wYfqg4xh5PLAP5j9Vn9/n/QcqRQE4wb44ZWbsIb4i2kmas5DjwjEyk3AvQUJkHl8rmpDf+DyodsyzJSwNXqvfD0EjflXDFb9wULKJP80MRXhnQZcyhVqY4+//SkT5xTVkB4uFi5fnhlnAFL04syiZm3VbLeFgqHdSOU983rVbq1GWRdXdswdZ4HXwL1AuaA5hISs918sc7lmiEqrNQwyLm/rbDKtUGfLX2cb3eECWDKXhq5zHKcTgBRNIsx0mBYdbIWTEJrcafHW4F2LS48C5TFbCs52iSiB9deVUltq4sACw1lC45FAHX8Tp4uBVt1/NuFRIlgzx7Bwgt8bLbp08PG5RGTLbmoo2pnKB/NLdN/Nw7pl2NPw2hLqh4BhRGWrBijuxDq3jrSWGbB+excanuG/jYWWDtSnVTT8QMg3c5HcG369BieME7x7AC9a6vGFwjcscXa+ri92ZWnAbKNl2HAwZv16WxCFw6J6KldwI7fjug09jeK83dQ3M8e5wMQUYqt3niF+YFeJTc0GE1vCS2z+9s7Vifj3uZNFbBH5EoAaCBzqQO8NdcLG2pn7iNn+x+HpLPd3HAXQJ/64UPfNp02vs0T7Io1lcXPJshnv+74r9EkLyQIU51jm7ctb7Y9XlXEleSwjEweEfZ0OYnGmR8kRCCVRO9lyaKD1qXdR0WKz/q7cAxrv+bE5eSZu8qBO/gOpK3KaFmh4q0r1hZ7t+Ef2LrjDlLF0U5csivw/9JXocC4h3paDVZr63X2YWhsFBEjMLVGcw2uwxLRNe0vE7W3CVUDlk0oPFOEWHXZUOyOzCNS+qT7h5LOwsPvmL1z3qJBwO/Vjcbj1iEpCXCgDs50NneRG8tRcP/Weq/7TJnzNJwuxu9HlTCfcf62o8mzNoT6GavwgxTjxLzI5dIxA8M7iCBmPQCDK561qTzOaZ9x5NFyHdcZokhklidfyRj+3ctQH2lz7+3UHuMsgEdIqYgeJamJOOUh5xjuerJjbEjaytYwGnAaTChVJsiTv9BiZuTXIxIiPVrzuWQuJ5q/jN+ceHYeUxj31UF+e6/PFm96RgyV7EIpyY2ZfwghyVeZo9uLWVcwElcK0OwrY5nwpQfEgXTA/PpJ6JSjAlwV5MvrPwYNjAYCZj63V1Yq/9qc6qMkZrH+aMVrrvByio2fF+E4z02Wq8rtNBEz/5Iaras/YFFB/aKiPPfG61ToZbxw42z5ekfQAwAAmgAAAA4AAAAaAwAAbhhYLBXWPVP17tBO6ZFTf1yWN2cp89FmdMm4RuwRQE3EIjFkU1uRI5o3v6MZSrrpOVCiVw7kYOL83sSW/tKWgnSxEFiVNNMLH89yeW7MYxriSBXGmEG9yHx5m0fNOyiy4VWxpYuqb2eLLNeWfJ7BBrq1IT8wFOBWMW3xOojb5RdJ398JtXL1VCXifzzjfjIjroKsdeJMiAAAAA8AAAAOAAAAGgMAAG5YSj4gMV8o3mAAAAAAAAAAAAABAADcKAAAUFLoKwwAAFVTUVJIAf5WQYD4Dg+FZwoAAFVIieVEiwlJidBIifJIjXcCVooH/8qIwSQHwOkDSMfDAP3//0jT44jBSI2cXIjx//9Ig+PAagBIOdx1+VNIjXsIik7//8qIRwKIyMDpBIhPASQPiAdIjU/8UEFXSI1HBEUx/0FWQb4BAAAAQVVFMe1BVFVTSIlMJPBIiUQk2LgBAAAASIl0JPhMiUQk6InDRIlMJOQPtk8C0+OJ2UiLXCQ4/8mJTCTUD7ZPAdPgSItMJPD/yIlEJNAPtgfHAQAAAADHRCTIAAAAAMdEJMQBAAAAx0QkwAEAAADHRCS8AQAAAMcDAAAAAIlEJMwPtk8BAcG4AAMAANPgMcmNuDYHAABBOf9zE0iLXCTYicj/wTn5ZscEQwAE6+tIi3wk+InQRTHSQYPL/zHSSYn8SQHETDnnD4TvCAAAD7YHQcHiCP/CSP/HQQnCg/oEfuNEO3wk5A+D2ggAAItEJNRIY1wkyEiLVCTYRCH4iUQkuEhjbCS4SInYSMHgBEgB6EGB+////wBMjQxCdxpMOecPhJYIAAAPtgdBweIIQcHjCEj/x0EJwkEPtxFEidjB6AsPt8oPr8FBOcIPg8UBAABBicO4AAgAAEiLXCTYKcgPtkwkzL4BAAAAwfgFjQQCQQ+21WZBiQGLRCTQRCH40+C5CAAAACtMJMzT+gHQacAAAwAAg3wkyAaJwEyNjENsDgAAD464AAAASItUJOhEifhEKfAPtiwCAe1IY9aJ64HjAAEAAEGB+////wBIY8NJjQRBTI0EUHcaTDnnD4TbBwAAD7YHQcHiCEHB4whI/8dBCcJBD7eQAAIAAESJ2MHoCw+3yg+vwUE5wnMgQYnDuAAIAAAB9inIwfgFhduNBAJmQYmAAAIAAHQh6y1BKcNBKcKJ0GbB6AWNdDYBZinChdtmQYmQAAIAAHQOgf7/AAAAD45h////63iB/v8AAAB/cEhjxkGB+////wBNjQRBdxpMOecPhEMHAAAPtgdBweIIQcHjCEj/x0EJwkEPtxBEidjB6AsPt8oPr8FBOcJzGEGJw7gACAAAAfYpyMH4BY0EAmZBiQDroUEpw0EpwonQZsHoBY10NgFmKcJmQYkQ64hIi0wk6ESJ+EH/x0GJ9UCINAGDfCTIA38Nx0QkyAAAAADppgYAAItUJMiLRCTIg+oDg+gGg3wkyAkPT9CJVCTI6YcGAABBKcNBKcKJ0GbB6AVmKcJIi0Qk2EGB+////wBmQYkRSI00WHcaTDnnD4R5BgAAD7YHQcHiCEHB4whI/8dBCcIPt5aAAQAARInYwegLD7fKD6/BQTnCc05BicO4AAgAAEyLTCTYKciLTCTERIl0JMTB+AWNBAKLVCTAiUwkwGaJhoABAAAxwIN8JMgGiVQkvA+fwEmBwWQGAACNBECJRCTI6VQCAABBKcNBKcKJ0GbB6AVmKcJBgfv///8AZomWgAEAAHcaTDnnD4TaBQAAD7YHQcHiCEHB4whI/8dBCcIPt5aYAQAARInYwegLD7fKD6/BQTnCD4PQAAAAQbgACAAAQYnDSMHjBUSJwCnIwfgFjQQCZomGmAEAAEiLRCTYSAHYQYH7////AEiNNGh3Gkw55w+EcAUAAA+2B0HB4ghBweMISP/HQQnCD7eW4AEAAESJ2MHoCw+3yg+vwUE5wnNPQSnIQYnDQcH4BUWF/0KNBAJmiYbgAQAAD4QpBQAAMcCDfCTIBkiLXCToD5/AjUQACYlEJMhEifhEKfBED7YsA0SJ+EH/x0SILAPp2AQAAEEpw0EpwonQZsHoBWYpwmaJluABAADpEQEAAEEpw0EpwonQZsHoBWYpwkGB+////wBmiZaYAQAAdxpMOecPhLUEAAAPtgdBweIIQcHjCEj/x0EJwg+3lrABAABEidjB6AsPt8oPr8FBOcJzIEGJw7gACAAAKcjB+AWNBAJmiYawAQAAi0QkxOmYAAAAQSnDQSnCidBmwegFZinCQYH7////AGaJlrABAAB3Gkw55w+ERAQAAA+2B0HB4ghBweMISP/HQQnCD7eWyAEAAESJ2MHoCw+3yg+vwUE5wnMdQYnDuAAIAAApyMH4BY0EAmaJhsgBAACLRCTA6yJBKcNBKcKJ0GbB6AVmKcKLRCS8ZomWyAEAAItUJMCJVCS8i0wkxIlMJMBEiXQkxEGJxjHAg3wkyAZMi0wk2A+fwEmBwWgKAACNREAIiUQkyEGB+////wB3Gkw55w+EnAMAAA+2B0HB4ghBweMISP/HQQnCQQ+3EUSJ2MHoCw+3yg+vwUE5wnMnQYnDuAAIAABFMe0pyMH4BY0EAmZBiQFIY0QkuEjB4ARNjUQBBOt4QSnDQSnCidBmwegFZinCQYH7////AGZBiRF3Gkw55w+EKgMAAA+2B0HB4ghBweMISP/HQQnCQQ+3UQJEidjB6AsPt8oPr8FBOcJzNEGJw7gACAAAQb0IAAAAKcjB+AWNBAJmQYlBAkhjRCS4SMHgBE2NhAEEAQAAQbkDAAAA6ydBKcNBKcKJ0GbB6AVNjYEEAgAAQb0QAAAAZinCZkGJUQJBuQgAAABEicu9AQAAAEhjxUGB+////wBJjTRAdxpMOecPhIcCAAAPtgdBweIIQcHjCEj/x0EJwg+3DkSJ2MHoCw+30Q+vwkE5wnMXQYnDuAAIAAAB7SnQwfgFjQQBZokG6xZBKcNBKcKJyGbB6AWNbC0BZinBZokO/8t1kbgBAAAARInJ0+ApxUQB7YN8JMgDD4/CAQAAg0QkyAe4AwAAAIP9BA9MxUiLXCTYQbgBAAAASJhIweAHTI2MA2ADAAC7BgAAAEljwEGB+////wBJjTRBdxpMOecPhNABAAAPtgdBweIIQcHjCEj/x0EJwg+3FkSJ2MHoCw+3yg+vwUE5wnMYQYnDuAAIAABFAcApyMH4BY0EAmaJBusXQSnDQSnCidBmwegFR41EAAFmKcJmiRb/y3WPQYPoQEGD+ANFicYPjg0BAABBg+YBRInA0fhBg84CQYP4DY1w/38jifFIi1wk2EljwEHT5kgBwESJ8kiNFFNIKcJMjYpeBQAA61GNcPtBgfv///8AdxpMOecPhBkBAAAPtgdBweIIQcHjCEj/x0EJwkHR60UB9kU52nIHRSnaQYPOAf/OdcdMi0wk2EHB5gS+BAAAAEmBwUQGAABBvQEAAAC7AQAAAEhjw0GB+////wBNjQRBdxpMOecPhLkAAAAPtgdBweIIQcHjCEj/x0EJwkEPtxBEidjB6AsPt8oPr8FBOcJzGEGJw7gACAAAAdspyMH4BY0EAmZBiQDrGkEpw0EpwonQZsHoBY1cGwFFCe5mKcJmQYkQRQHt/851iEH/xnRAg8UCRTn+d01Ii1Qk6ESJ+EQp8EQPtiwCRIn4Qf/H/81EiCwCD5XCMcBEO3wk5A+SwIXCddNEO3wk5A+CRff//0GB+////wB3Fkw557gBAAAAdCPrB7gBAAAA6xpI/8eJ+CtEJPhIi0wk8EiLXCQ4iQFEiTsxwFtdQVxBXUFeQV9Ii3X4SIt9EItLBEgBzosTSAHXyesCV15ZSInwSCnIWkgp11mJOVtdw2geAAAAWujFAAAAUFJPVF9FWEVDfFBST1RfV1JJVEUgZmFpbGVkLgoACgAkSW5mbzogVGhpcyBmaWxlIGlzIHBhY2tlZCB3aXRoIHRoZSBVUFggZXhlY3V0YWJsZSBwYWNrZXIgaHR0cDovL3VweC5zZi5uZXQgJAoAJElkOiBVUFggMy45NiBDb3B5cmlnaHQgKEMpIDE5OTYtMjAyMCB0aGUgVVBYIFRlYW0uIEFsbCBSaWdodHMgUmVzZXJ2ZWQuICQKAJCQkGoOWlde6wFeagJfagFYDwVqf19qPFgPBV8p9moCWA8FhcB43FBIjbcPAAAArYPg/kGJxlZbrZJIAdqtQZWtSQH1SI2N9f///0SLOUwp+UUp919IKcpSUEkpzVdRTSnJQYPI/2oiQVpSXmoDWin/aglYDwVJAcZIiUQkEEiXRItEJAhqEkFaTInuaglYDwVIi1QkGFlRSAHCSCnISYnESAHoUEglAPD//1BIKcJSSInerVBIieFKjRQjSYnVrVCtQZBIifde/9VZXl9dagVaagpYDwVB/+Vd6Dz///8vcHJvYy9zZWxmL2V4ZQAAAQAADwgAAD0GAAAOSQEAGgMAdBJ8Ggg2Ct9V9xgLKdkVSgc8lNrznlW1S45V2wl+X5UE/Md+tlQh0J2Q78Q0UpLEkvMkEVOMvrWYHeWKwfCWH8VCvgC1J42rmOBud3GA7U8RabBaL9g6qcTHce3S8gKIFvfSA/cKOO+HXIuNUdCDmrOa8ymHgcDoY340fNMBlzyOpUahlOIUj3wqfUmOmu0vq47s0wfaO5P0RssjvGN4xBPwg7YYM5aJICKBEs+R93MkFN6KKj6VTMAsaSz4iVWXIu4K7rTy7/Wp7aArygughxW4PhrKLtAeCykomF+nXLyw9jIiwGuT7gfvLDfIxJ91u/oQDEtq2B2Jg2GXeJRyiyw07XiqktbJghdFLn7MACstR50OILcpIvrd7K3JldB9yu8l/PPtuOBL7GNVez9tSQzn8+lWWgL23xjVrrLqKMbRWmMMJlHjWZISMcMExrWyUJ0HmEGTKZWPIhbfTPFEmX1/BAOil3wG5N4zlOoYiYpqwa5izA4C7fmPZIXUPKsWzR+m9wMGXyUy26YqPSzeWaEz5ZTUKQCa4jEsjB20BrzEPn6agr6Icbo/0ZBWxjZuKjzJUN7ky9HSVe2ADYD7nogrLPoqBchYY6rqfO7p8X6noFsTvCgNlhP6lHGrqtSp17SGbDAlJd3NdEPohLX/UFrPsFnGLAlI9dTj4hmbwL1pQ6tKQugDbuL9e+53JexBu6Ktr2KZCdXyU7xuwCVsD3vIjcji6OpNoBzXyMcA4DCeuWNrYtZRGFROUnW8/B41YVjf8wn2hnkNp6EN9mqWFPMAJ4AfGZ4JMElDVpz5dKdxlfxdFf2a9ui5o96O8TnttLT5ETpF4+5DGARAxBbRby/TOlGaKo2fpNZ7uacrd4WWvdRLPQ8+rtFeRW2RnZ2vHVNPrj+vBEfKzzgCqYtmehcNar7TMtkH5jkWEJRxT7gXkfP6p4L4Oz0fBnwtT0HyStETvk+g7lB5K2nfbYHzgAWLOqKyNuNlhRQUIvtLEgylzZhra5gRSFl+6Zf6m/Ob1DOG3UunHPWAM+ymAaTFDBoQxFrTe2rJEaYrRY60ZevgwoBCpozKNK5esLfe6BMfN8aYTswE4mYeBOV8L/j6fHHFuuLbX+aYwIE3QtBPOptw9zXqogEcLQIa26oLmzJQb0JNPNBL8ta0IebFJOJqfUguOYnTPpt4SJ6noeRQbaxLG0kkLg6/McbaBDOMikdntK7EbTj5nKBLDUq06Q+bXnh1tldoXAHx2Owclxeuh8p3P2W7EcjaE4e9FXQazj+qtQX3ZK2P23TldfLPNJ5mcCIdd8fFzJ6WWwgLLx2VD+J5PT/ufxK/CHR1rbJ+M5ofThQGhSj8AqmZRGxOqcHWE16pcxRVZUpfY4xPCPpyxIUaqDdtwVuojt2h3J/Cxqy5uV+uYr5ld2BoHoLWNkzEc2oqt5krVauCaqitgm7UqxEHf3aNTale+sWRut7x6SZr6wUr5yodZq1tRjG+1Hr7nD23DiG9U0aW8K7B2OyvIEpOxz2yNr/j9WF8taQzwhh2OJ3lMt8EQbihfyxOljw8TgwSoB7C7WOsz9J2w0dXAfETKTJHmfwE/TmwbKZYGqnnkafZ/HQ94LSysoZwAPOSdobUq8Fp6UsyYSbJthqtXAVjU/XdPN+4uKCuPCANV+LzFL3r2vJVInUEn/hUi9EKqF9m6e3S27ALD9q0OnZO7OI3DLEJb6F4vANBQOc9r840wB+/qK/obX6IU4h7NmDH18QSSTAPxNSuNSKaMQ+k286G9F/N2C5F3SURpu70ISOyoXuc1X0dZqiPHfzzpzktyv28OLLp/bV88l6owCvG9ymSCdC3i0QYGuYbVHvL38iAnI3bfaFOAwjbFYaS19DKhKRrIItKIyr8oq2rLk+iXxRiNZ5tsVScP6D2Ih1jIJjtkyVT0b78Wy6J62rguy03WKBLG82JSyZTl9P603yU2gmaym0o0itEQnoVelDKCkXu4KsTzLN8TyzNIuJj0hd2WaL6tm1bxGpeFarA1nEfjeuZFHz4lLScXGy7c5nezkUCoAvy61wOFcPuPYoGgxgFh9wL55gjveCuVnB9kSQu8lrX+GTM7Xc5HZFHuu+M72OwNp5uv6kGBpdFAAQAAAAEAAAAAAAAAAAAAACoCQAApwIAAA4AAAAaAwAAEsu42iCeXKFPmgYYOU8iEIyzMQzr6fmPkQcwu0w+Y3uohUfZWMYa2EimAPskCOu7Socnd7lsz4d8PjwChoWdZtRGP3bNTL/4Hv8oqbLgPzvggMwudSkieACbCKhwBLITepuOy24JDZ+6/D4ApbEFVggyQJ5s9v8A6T/2fl+h7epybrMtChNu32GuToC7JLReDOLXU2B/JmGyP698JtHKDf6ALymoRmV/HYz/3De9smL2OgEX5jxb6IgHzgbzuqy2+kwGiKsIyxwrsmc7VTYLelVaqI0eE88oG4Gu7GMkcxkeUTheaCD86GLGbwS/NvmXYePsLhFrzUwOWZVZI/AMeL1ctnjVQ9Ven1wk4lIQfUXFFKI/mttd8IirVBo8uHqWKIczMkazy1ew4FVOfrDaxzIH04vRqoUpsRxJfayocAKLvv8aDY49Nsucaazh39kSJppQvMkJpybZ9EcTbC8MMvRCo0zBHeBIjwX/Koln07jn36V4IYXzSGjIMw4jPqydjcooW/FhdQAZD9uStJ5yS0SppTdAVqvBnx0nmM/ItxFVSkw9pl6GqEImDCtydNX+TFEtl8uvI/Hn+KhhHYgvu5Xr0tGhiX9km/+oFRrAt9i8jDhvcePAH0r7UCWOfZ0w0sMaDbvU4BFNeQWxunsR9QFxjYHB39i7zpEP/lpCZljsCC5l2ygE7mMjoogKZr2P2nsVJ7gRF3RpssUra1f1smowi4wL5IE0+OmfcnORxzodlLsHiH5o4SA/OLN7Y0QGIVZrxso3tvYnJWNIhTLFMrIUkvycf7BvXtEG8r/ks9ZE3q2hHYq7/KEM3JPELYn5UQRf6T+2T5pYDBRH2KcG+ma7vfg4NtZk2WRXyfc5QeWxHjNvq031i3sgRKAfrj/WqkIAAAAAAFVQWCEAAAAAAFVQWCENFg4KyJ56VXTo+WaoCQAApwIAAGBdAABJAQCv9AAAAA";