結果

問題 No.2605 Pickup Parentheses
ユーザー Aeren
提出日時 2024-01-12 23:23:35
言語 C++23
(gcc 13.3.0 + boost 1.87.0)
結果
AC  
実行時間 165 ms / 2,000 ms
コード長 31,418 bytes
コンパイル時間 2,995 ms
コンパイル使用メモリ 269,748 KB
実行使用メモリ 16,444 KB
最終ジャッジ日時 2024-09-30 06:30:43
合計ジャッジ時間 6,835 ms
ジャッジサーバーID
（参考情報） 		judge3 / judge5
このコードへのチャレンジ
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ファイルパターン 結果
sample AC * 3
other AC * 68
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

#include <bits/stdc++.h>
// #include <x86intrin.h>
using namespace std;
#if __cplusplus >= 202002L
using namespace numbers;
#endif
template<class data_t, data_t _mod>
struct modular_fixed_base{
#define IS_INTEGRAL(T) (is_integral_v<T> || is_same_v<T, __int128_t> || is_same_v<T, __uint128_t>)
#define IS_UNSIGNED(T) (is_unsigned_v<T> || is_same_v<T, __uint128_t>)
    static_assert(IS_UNSIGNED(data_t));
    static_assert(_mod >= 1);
    static constexpr bool VARIATE_MOD_FLAG = false;
    static constexpr data_t mod(){
        return _mod;
    }
    template<class T>
    static vector<modular_fixed_base> precalc_power(T base, int SZ){
        vector<modular_fixed_base> res(SZ + 1, 1);
        for(auto i = 1; i <= SZ; ++ i) res[i] = res[i - 1] * base;
        return res;
    }   
    static vector<modular_fixed_base> _INV;
    static void precalc_inverse(int SZ){
        if(_INV.empty()) _INV.assign(2, 1);
        for(auto x = _INV.size(); x <= SZ; ++ x) _INV.push_back(_mod / x * -_INV[_mod % x]);
    }
    // _mod must be a prime
    static modular_fixed_base _primitive_root;
    static modular_fixed_base primitive_root(){
        if(_primitive_root) return _primitive_root;
        if(_mod == 2) return _primitive_root = 1;
        if(_mod == 998244353) return _primitive_root = 3;
        data_t divs[20] = {};
        divs[0] = 2;
        int cnt = 1;
        data_t x = (_mod - 1) / 2;
        while(x % 2 == 0) x /= 2;
        for(auto i = 3; 1LL * i * i <= x; i += 2){
            if(x % i == 0){
                divs[cnt ++] = i;
                while(x % i == 0) x /= i;
            }
        }
        if(x > 1) divs[cnt ++] = x;
        for(auto g = 2; ; ++ g){
            bool ok = true;
            for(auto i = 0; i < cnt; ++ i){
                if((modular_fixed_base(g).power((_mod - 1) / divs[i])) == 1){
                    ok = false;
                    break;
                }
            }
            if(ok) return _primitive_root = g;
        }
    }
    constexpr modular_fixed_base(){ }
    modular_fixed_base(const double &x){ data = _normalize(llround(x)); }
    modular_fixed_base(const long double &x){ data = _normalize(llround(x)); }
    template<class T, typename enable_if<IS_INTEGRAL(T)>::type* = nullptr> modular_fixed_base(const T &x){ data = _normalize(x); }
    template<class T, typename enable_if<IS_INTEGRAL(T)>::type* = nullptr> static data_t _normalize(const T &x){
        int sign = x >= 0 ? 1 : -1;
        data_t v =  _mod <= sign * x ? sign * x % _mod : sign * x;
        if(sign == -1 && v) v = _mod - v;
        return v;
    }
    template<class T, typename enable_if<IS_INTEGRAL(T)>::type* = nullptr> operator T() const{ return data; }
    modular_fixed_base &operator+=(const modular_fixed_base &otr){ if((data += otr.data) >= _mod) data -= _mod; return *this; }
    modular_fixed_base &operator-=(const modular_fixed_base &otr){ if((data += _mod - otr.data) >= _mod) data -= _mod; return *this; }
    template<class T, typename enable_if<IS_INTEGRAL(T)>::type* = nullptr> modular_fixed_base &operator+=(const T &otr){ return *this += 
        modular_fixed_base(otr); }
    template<class T, typename enable_if<IS_INTEGRAL(T)>::type* = nullptr> modular_fixed_base &operator-=(const T &otr){ return *this -= 
        modular_fixed_base(otr); }
    modular_fixed_base &operator++(){ return *this += 1; }
    modular_fixed_base &operator--(){ return *this += _mod - 1; }
    modular_fixed_base operator++(int){ modular_fixed_base result(*this); *this += 1; return result; }
    modular_fixed_base operator--(int){ modular_fixed_base result(*this); *this += _mod - 1; return result; }
    modular_fixed_base operator-() const{ return modular_fixed_base(_mod - data); }
    modular_fixed_base &operator*=(const modular_fixed_base &rhs){
        if constexpr(is_same_v<data_t, unsigned int>) data = (unsigned long long)data * rhs.data % _mod;
        else if constexpr(is_same_v<data_t, unsigned long long>){
            long long res = data * rhs.data - _mod * (unsigned long long)(1.L / _mod * data * rhs.data);
            data = res + _mod * (res < 0) - _mod * (res >= (long long)_mod);
        }
        else data = _normalize(data * rhs.data);
        return *this;
    }
    template<class T, typename enable_if<IS_INTEGRAL(T)>::type* = nullptr>
    modular_fixed_base &inplace_power(T e){
        if(e == 0) return *this = 1;
        if(data == 0) return *this = {};
        if(data == 1) return *this;
        if(data == mod() - 1) return e % 2 ? *this : *this = -*this;
        if(e < 0) *this = 1 / *this, e = -e;
        modular_fixed_base res = 1;
        for(; e; *this *= *this, e >>= 1) if(e & 1) res *= *this;
        return *this = res;
    }
    template<class T, typename enable_if<IS_INTEGRAL(T)>::type* = nullptr>
    modular_fixed_base power(T e) const{
        return modular_fixed_base(*this).inplace_power(e);
    }
    modular_fixed_base &operator/=(const modular_fixed_base &otr){
        make_signed_t<data_t> a = otr.data, m = _mod, u = 0, v = 1;
        if(a < _INV.size()) return *this *= _INV[a];
        while(a){
            make_signed_t<data_t> t = m / a;
            m -= t * a; swap(a, m);
            u -= t * v; swap(u, v);
        }
        assert(m == 1);
        return *this *= u;
    }
#define ARITHMETIC_OP(op, apply_op)\
modular_fixed_base operator op(const modular_fixed_base &x) const{ return modular_fixed_base(*this) apply_op x; }\
template<class T, typename enable_if<IS_INTEGRAL(T)>::type* = nullptr>\
modular_fixed_base operator op(const T &x) const{ return modular_fixed_base(*this) apply_op modular_fixed_base(x); }\
template<class T, typename enable_if<IS_INTEGRAL(T)>::type* = nullptr>\
friend modular_fixed_base operator op(const T &x, const modular_fixed_base &y){ return modular_fixed_base(x) apply_op y; }
    ARITHMETIC_OP(+, +=) ARITHMETIC_OP(-, -=) ARITHMETIC_OP(*, *=) ARITHMETIC_OP(/, /=)
#undef ARITHMETIC_OP
#define COMPARE_OP(op)\
bool operator op(const modular_fixed_base &x) const{ return data op x.data; }\
template<class T, typename enable_if<IS_INTEGRAL(T)>::type* = nullptr>\
bool operator op(const T &x) const{ return data op modular_fixed_base(x).data; }\
template<class T, typename enable_if<IS_INTEGRAL(T)>::type* = nullptr>\
friend bool operator op(const T &x, const modular_fixed_base &y){ return modular_fixed_base(x).data op y.data; }
    COMPARE_OP(==) COMPARE_OP(!=) COMPARE_OP(<) COMPARE_OP(<=) COMPARE_OP(>) COMPARE_OP(>=)
#undef COMPARE_OP
    friend istream &operator>>(istream &in, modular_fixed_base &number){
        long long x;
        in >> x;
        number.data = modular_fixed_base::_normalize(x);
        return in;
    }
//#define _SHOW_FRACTION
    friend ostream &operator<<(ostream &out, const modular_fixed_base &number){
        out << number.data;
    #if defined(LOCAL) && defined(_SHOW_FRACTION)
        cerr << "(";
        for(auto d = 1; ; ++ d){
            if((number * d).data <= 1000000){
                cerr << (number * d).data;
                if(d != 1) cerr << "/" << d;
                break;
            }
            else if((-number * d).data <= 1000000){
                cerr << "-" << (-number * d).data;
                if(d != 1) cerr << "/" << d;
                break;
            }
        }
        cerr << ")";
    #endif
        return out;
    }
    data_t data = 0;
#undef _SHOW_FRACTION
#undef IS_INTEGRAL
#undef IS_SIGNED
};
template<class data_t, data_t _mod> vector<modular_fixed_base<data_t, _mod>> modular_fixed_base<data_t, _mod>::_INV;
template<class data_t, data_t _mod> modular_fixed_base<data_t, _mod> modular_fixed_base<data_t, _mod>::_primitive_root;
const unsigned int mod = (119 << 23) + 1; // 998244353
// const unsigned int mod = 1e9 + 7; // 1000000007
// const unsigned int mod = 1e9 + 9; // 1000000009
// const unsigned long long mod = (unsigned long long)1e18 + 9;
using modular = modular_fixed_base<decay_t<decltype(mod)>, mod>;
// T must be of modular type
// mod must be a prime
// Requires modular
template<class T>
struct number_theoric_transform_wrapper{
    // i \in [2^k, 2^{k+1}) holds w_{2^k+1}^{i-2^k}
    static vector<T> root, buffer1, buffer2;
    static void adjust_root(int n){
        if(root.empty()) root = {1, 1};
        for(auto k = (int)root.size(); k < n; k <<= 1){
            root.resize(n, 1);
            T w = T::primitive_root().power((T::mod() - 1) / (k << 1));
            for(auto i = k; i < k << 1; ++ i) root[i] = i & 1 ? root[i >> 1] * w : root[i >> 1];
        }
    }
    // n must be a power of two
    // p must have next n memories allocated
    // O(n * log(n))
    static void transform(int n, T *p, bool invert = false){
        assert(n && __builtin_popcount(n) == 1 && (T::mod() - 1) % n == 0);
        for(auto i = 1, j = 0; i < n; ++ i){
            int bit = n >> 1;
            for(; j & bit; bit >>= 1) j ^= bit;
            j ^= bit;
            if(i < j) swap(p[i], p[j]);
        }
        adjust_root(n);
        for(auto len = 1; len < n; len <<= 1) for(auto i = 0; i < n; i += len << 1) for(auto j = 0; j < len; ++ j){
            T x = p[i + j], y = p[len + i + j] * root[len + j];
            p[i + j] = x + y, p[len + i + j] = x - y;
        }
        if(invert){
            reverse(p + 1, p + n);
            T inv_n = T(1) / n;
            for(auto i = 0; i < n; ++ i) p[i] *= inv_n;
        }
    }
    static void transform(vector<T> &p, bool invert = false){
        transform((int)p.size(), p.data(), invert);
    }
    // Double the length of the ntt array
    // n must be a power of two
    // p must have next 2n memories allocated
    // O(n * log(n))
    static void double_up(int n, T *p){
        assert(n && __builtin_popcount(n) == 1 && (T().mod() - 1) % (n << 1) == 0);
        buffer1.resize(n << 1);
        for(auto i = 0; i < n; ++ i) buffer1[i << 1] = p[i];
        transform(n, p, true);
        adjust_root(n << 1);
        for(auto i = 0; i < n; ++ i) p[i] *= root[n | i];
        transform(n, p);
        for(auto i = 0; i < n; ++ i) buffer1[i << 1 | 1] = p[i];
        copy(buffer1.begin(), buffer1.begin() + 2 * n, p);
    }
    static void double_up(vector<T> &p){
        int n = (int)p.size();
        p.resize(n << 1);
        double_up(n, p.data());
    }
    // O(n * m)
    static vector<T> convolute_naive(const vector<T> &p, const vector<T> &q){
        vector<T> res(max((int)p.size() + (int)q.size() - 1, 0));
        for(auto i = 0; i < (int)p.size(); ++ i) for(auto j = 0; j < (int)q.size(); ++ j) res[i + j] += p[i] * q[j];
        return res;
    }
    // O((n + m) * log(n + m))
    static vector<T> convolute(const vector<T> &p, const vector<T> &q){
        if(min(p.size(), q.size()) < 55) return convolute_naive(p, q);
        int m = (int)p.size() + (int)q.size() - 1, n = 1 << __lg(m) + 1;
        buffer1.assign(n, 0);
        copy(p.begin(), p.end(), buffer1.begin());
        transform(buffer1);
        buffer2.assign(n, 0);
        copy(q.begin(), q.end(), buffer2.begin());
        transform(buffer2);
        for(auto i = 0; i < n; ++ i) buffer1[i] *= buffer2[i];
        transform(buffer1, true);
        return vector<T>(buffer1.begin(), buffer1.begin() + m);
    }
    // O((n + m) * log(n + m))
    static vector<T> arbitrarily_convolute(const vector<T> &p, const vector<T> &q){
        using modular0 = modular_fixed_base<unsigned int, 1045430273>;
        using modular1 = modular_fixed_base<unsigned int, 1051721729>;
        using modular2 = modular_fixed_base<unsigned int, 1053818881>;
        using ntt0 = number_theoric_transform_wrapper<modular0>;
        using ntt1 = number_theoric_transform_wrapper<modular1>;
        using ntt2 = number_theoric_transform_wrapper<modular2>;
        vector<modular0> p0((int)p.size()), q0((int)q.size());
        for(auto i = 0; i < (int)p.size(); ++ i) p0[i] = p[i].data;
        for(auto i = 0; i < (int)q.size(); ++ i) q0[i] = q[i].data;
        auto xy0 = ntt0::convolute(p0, q0);
        vector<modular1> p1((int)p.size()), q1((int)q.size());
        for(auto i = 0; i < (int)p.size(); ++ i) p1[i] = p[i].data;
        for(auto i = 0; i < (int)q.size(); ++ i) q1[i] = q[i].data;
        auto xy1 = ntt1::convolute(p1, q1);
        vector<modular2> p2((int)p.size()), q2((int)q.size());
        for(auto i = 0; i < (int)p.size(); ++ i) p2[i] = p[i].data;
        for(auto i = 0; i < (int)q.size(); ++ i) q2[i] = q[i].data;
        auto xy2 = ntt2::convolute(p2, q2);
        static const modular1 r01 = 1 / modular1(modular0::mod());
        static const modular2 r02 = 1 / modular2(modular0::mod());
        static const modular2 r12 = 1 / modular2(modular1::mod());
        static const modular2 r02r12 = r02 * r12;
        static const T w1 = modular0::mod();
        static const T w2 = w1 * modular1::mod();
        int n = (int)p.size() + (int)q.size() - 1;
        vector<T> res(n);
        for(auto i = 0; i < n; ++ i){
            using ull = unsigned long long;
            ull a = xy0[i].data;
            ull b = (xy1[i].data + modular1::mod() - a) * r01.data % modular1::mod();
            ull c = ((xy2[i].data + modular2::mod() - a) * r02r12.data + (modular2::mod() - b) * r12.data) % modular2::mod();
            res[i] = xy0[i].data + w1 * b + w2 * c;
        }
        return res;
    }
};
template<class T> vector<T> number_theoric_transform_wrapper<T>::root;
template<class T> vector<T> number_theoric_transform_wrapper<T>::buffer1;
template<class T> vector<T> number_theoric_transform_wrapper<T>::buffer2;
using ntt = number_theoric_transform_wrapper<modular>;
// Specialized for FFT
template<class T, class FFT>
struct power_series_base: vector<T>{
#define data (*this)
    power_series_base &_inplace_transform(bool invert = false){
        FFT::transform(data, invert);
        return *this;
    }
    power_series_base _transform(bool invert = false) const{
        return power_series_base(*this)._inplace_transform(invert);
    }
    template<class ...Args>
    power_series_base(Args... args): vector<T>(args...){}
    power_series_base(initializer_list<T> init): vector<T>(init){}
    operator bool() const{
        return find_if(data.begin(), data.end(), [&](const T &x){ return x != T{0}; }) != data.end();
    }
    // Returns \sum_{i=0}^{n-1} a_i/i! * X^i
    static power_series_base EGF(vector<T> a){
        int n = (int)a.size();
        T fact = 1;
        for(auto x = 2; x < n; ++ x) fact *= x;
        fact = 1 / fact;
        for(auto i = n - 1; i >= 0; -- i) a[i] *= fact, fact *= i;
        return power_series_base(a);
    }
    // Returns exp(coef * X).take(n) = \sum_{i=0}^{n-1} coef^i/i! * X^i
    static power_series_base EGF(int n, T coef = 1){
        vector<T> a(n, 1);
        for(auto i = 1; i < n; ++ i) a[i] = a[i - 1] * coef;
        return EGF(a);
    }
    vector<T> EGF_to_seq() const{
        int n = (int)data.size();
        vector<T> seq(n);
        T fact = 1;
        for(auto i = 0; i < n; ++ i){
            seq[i] = data[i] * fact;
            fact *= i + 1;
        }
        return seq;
    }
    power_series_base &inplace_reduce(){
        while(!data.empty() && !data.back()) data.pop_back();
        return *this;
    }
    power_series_base reduce() const{
        return power_series_base(*this).inplace_reduce();
    }
    friend ostream &operator<<(ostream &out, const power_series_base &p){
        if(p.empty()) return out << "{}";
        else{
            out << "{";
            for(auto i = 0; i < (int)p.size(); ++ i){
                out << p[i];
                i + 1 < (int)p.size() ? out << ", " : out << "}";
            }
            return out;
        }
    }
    power_series_base &inplace_take(int n){
        data.erase(data.begin() + min((int)data.size(), n), data.end());
        data.resize(n, T{0});
        return *this;
    }
    power_series_base take(int n) const{
        auto res = vector<T>(data.begin(), data.begin() + min((int)data.size(), n));
        res.resize(n, T{0});
        return res;
    }
    power_series_base &inplace_drop(int n){
        data.erase(data.begin(), data.begin() + min((int)data.size(), n));
        return *this;
    }
    power_series_base drop(int n) const{
        return vector<T>(data.begin() + min((int)data.size(), n), data.end());
    }
    power_series_base &inplace_slice(int l, int r){
        assert(0 <= l && l <= r);
        data.erase(data.begin(), data.begin() + min((int)data.size(), l));
        data.resize(r - l, T{0});
        return *this;
    }
    power_series_base slice(int l, int r) const{
        auto res = vector<T>(data.begin() + min((int)data.size(), l), data.begin() + min((int)data.size(), r));
        res.resize(r - l, T{0});
        return res;
    }
    power_series_base &inplace_reverse(int n){
        data.resize(max(n, (int)data.size()), T{0});
        std::reverse(data.begin(), data.begin() + n);
        return *this;
    }
    power_series_base reverse(int n) const{
        return power_series_base(*this).inplace_reverse(n);
    }
    power_series_base &inplace_shift(int n, T x = T{0}){
        data.insert(data.begin(), n, x);
        return *this;
    }
    power_series_base shift(int n, T x = T{0}) const{
        return power_series_base(*this).inplace_shift(n, x);
    }
    T evaluate(T x) const{
        T res = {};
        for(auto i = (int)data.size() - 1; i >= 0; -- i) res = res * x + data[i];
        return res;
    }
    // Takes mod x^n-1
    power_series_base &inplace_circularize(int n){
        assert(n >= 1);
        for(auto i = n; i < (int)data.size(); ++ i) data[i % n] += data[i];
        data.resize(n, T{0});
        return *this;
    }
    // Takes mod x^n-1
    power_series_base circularize(int n) const{
        return power_series_base(*this).inplace_circularize(n);
    }
    power_series_base operator*(const power_series_base &p) const{
        return FFT::convolute(data, p);
    }
    power_series_base &operator*=(const power_series_base &p){
        return *this = *this * p;
    }
    template<class U>
    power_series_base &operator*=(U x){
        for(auto &c: data) c *= x;
        return *this;
    }
    template<class U>
    power_series_base operator*(U x) const{
        return power_series_base(*this) *= x;
    }
    template<class U>
    friend power_series_base operator*(U x, power_series_base p){
        for(auto &c: p) c = x * c;
        return p;
    }
    // Compute p^e mod x^n - 1.
    template<class U>
    power_series_base &inplace_power_circular(U e, int n){
        assert(n >= 1);
        power_series_base p = *this;
        data.assign(n, 0);
        data[0] = 1;
        for(; e; e >>= 1){
            if(e & 1) (*this *= p).inplace_circularize(n);
            (p *= p).inplace_circularize(n);
        }
        return *this;
    }
    template<class U>
    power_series_base power_circular(U e, int len) const{
        return power_series_base(*this).inplace_power_circular(e, len);
    }
    power_series_base &operator+=(const power_series_base &p){
        data.resize(max(data.size(), p.size()), T{0});
        for(auto i = 0; i < (int)p.size(); ++ i) data[i] += p[i];
        return *this;
    }
    power_series_base operator+(const power_series_base &p) const{
        return power_series_base(*this) += p;
    }
    template<class U>
    power_series_base &operator+=(const U &x){
        if(data.empty()) data.emplace_back();
        data[0] += x;
        return *this;
    }
    template<class U>
    power_series_base operator+(const U &x) const{
        return power_series_base(*this) += x;
    }
    template<class U>
    friend power_series_base operator+(const U &x, const power_series_base &p){
        return p + x;
    }
    power_series_base &operator-=(const power_series_base &p){
        data.resize(max(data.size(), p.size()), T{0});
        for(auto i = 0; i < (int)p.size(); ++ i) data[i] -= p[i];
        return *this;
    }
    power_series_base operator-(const power_series_base &p) const{
        return power_series_base(*this) -= p;
    }
    template<class U>
    power_series_base &operator-=(const U &x){
        if(data.empty()) data.emplace_back();
        data[0] -= x;
        return *this;
    }
    template<class U>
    power_series_base operator-(const U &x) const{
        return power_series_base(*this) -= x;
    }
    template<class U>
    friend power_series_base operator-(const U &x, const power_series_base &p){
        return -p + x;
    }
    power_series_base operator-() const{
        power_series_base res = *this;
        for(auto i = 0; i < data.size(); ++ i) res[i] = T{0} - res[i];
        return res;
    }
    power_series_base &operator++(){
        if(data.empty()) data.push_back(1);
        else ++ data[0];
        return *this;
    }
    power_series_base &operator--(){
        if(data.empty()) data.push_back(-1);
        else -- data[0];
        return *this;
    }
    power_series_base operator++(int){
        power_series_base result(*this);
        if(data.empty()) data.push_back(1);
        else ++ data[0];
        return result;
    }
    power_series_base operator--(int){
        power_series_base result(*this);
        if(data.empty()) data.push_back(-1);
        else -- data[0];
        return result;
    }
    power_series_base &inplace_clear_range(int l, int r){
        assert(0 <= l && l <= r);
        for(auto i = l; i < min(r, (int)data.size()); ++ i) data[i] = T{0};
        return *this;
    }
    power_series_base clear_range(int l, int r) const{
        return power_series_base(*this).inplace_clear_range(l, r);
    }
    power_series_base &inplace_dot_product(const power_series_base &p){
        for(auto i = 0; i < min(data.size(), p.size()); ++ i) data[i] *= p[i];
        return *this;
    }
    power_series_base dot_product(const power_series_base &p) const{
        return power_series_base(*this).inplace_power_series_product(p);
    }
    power_series_base &_inverse_doubled_up(power_series_base &f, const power_series_base &freq) const{
        assert((f.size() & -f.size()) == f.size());
        int s = f.size();
        power_series_base buffer = take(s << 1);
        buffer._inplace_transform();
        buffer.inplace_dot_product(freq);
        buffer._inplace_transform(true);
        buffer.inplace_clear_range(0, s);
        buffer._inplace_transform();
        buffer.inplace_dot_product(freq);
        buffer._inplace_transform(true);
        f.resize(s << 1, T{0});
        return f -= buffer.inplace_clear_range(0, s);
    }
    power_series_base &_inverse_doubled_up(power_series_base &f) const{
        assert((f.size() & -f.size()) == f.size());
        return _inverse_doubled_up(f, f.take(f.size() << 1)._transform());
    }
    // Returns the first n terms of the inverse series
    // O(n * log(n))
    power_series_base inverse(int n) const{
        assert(!data.empty() && data[0] != T{0});
        auto inv = 1 / data[0];
        power_series_base res{inv};
        for(auto s = 1; s < n; s <<= 1) _inverse_doubled_up(res);
        res.resize(n, T{0});
        return res;
    }
    // Returns the first n terms of the inverse series
    // O(n * log(n))
    power_series_base &inplace_inverse(int n){
        return *this = this->inverse(n);
    }
    // O(n * log(n))
    power_series_base &inplace_power_series_division(power_series_base p, int n){
        int i = 0;
        while(i < min(data.size(), p.size()) && !data[i] && !p[i]) ++ i;
        data.erase(data.begin(), data.begin() + i);
        p.erase(p.begin(), p.begin() + i);
        (*this *= p.inverse(n)).resize(n, T{0});
        return *this;
    }
    // O(n * log(n))
    power_series_base power_series_division(const power_series_base &p, int n){
        return power_series_base(*this).inplace_power_series_division(p, n);
    }
    // Euclidean division
    // O(min(n * log(n), # of non-zero indices))
    power_series_base &operator/=(const power_series_base &p){
        int n = (int)p.size();
        while(n && p[n - 1] == T{0}) -- n;
        assert(n >= 1);
        reduce();
        if(data.size() < n){
            data.clear();
            return *this;
        }
        if(n - count(p.begin(), p.begin() + n, T{0}) <= 100){
            T inv = 1 / p[n - 1];
            static vector<int> indices;
            for(auto i = 0; i < n - 1; ++ i) if(p[i]) indices.push_back(i);
            power_series_base res((int)data.size() - n + 1);
            for(auto i = (int)data.size() - 1; i >= n - 1; -- i) if(data[i]){
                T x = data[i] * inv;
                res[i - n + 1] = x;
                for(auto j: indices) data[i - (n - 1 - j)] -= x * p[j];
            }
            indices.clear();
            return *this = res;
        }
        power_series_base b;
        n = data.size() - p.size() + 1;
        b.assign(n, {});
        copy(p.rbegin(), p.rbegin() + min(p.size(), b.size()), b.begin());
        std::reverse(data.begin(), data.end());
        data = FFT::convolute(data, b.inverse(n));
        data.erase(data.begin() + n, data.end());
        std::reverse(data.begin(), data.end());
        return *this;
    }
    power_series_base operator/(const power_series_base &p) const{
        return power_series_base(*this) /= p;
    }
    template<class U>
    power_series_base &operator/=(U x){
        assert(x);
        T inv_x = T(1) / x;
        for(auto &c: data) c *= inv_x;
        return *this;
    }
    template<class U>
    power_series_base operator/(U x) const{
        return power_series_base(*this) /= x;
    }
    pair<power_series_base, power_series_base> divrem(const power_series_base &p) const{
        auto q = *this / p, r = *this - q * p;
        while(!r.empty() && r.back() == 0) r.pop_back();
        return {q, r};
    }
    power_series_base &operator%=(const power_series_base &p){
        int n = (int)p.size();
        while(n && p[n - 1] == T{0}) -- n;
        assert(n >= 1);
        reduce();
        if(data.size() < n) return *this;
        if(n - count(p.begin(), p.begin() + n, 0) <= 100){
            T inv = 1 / p[n - 1];
            static vector<int> indices;
            for(auto i = 0; i < n - 1; ++ i) if(p[i]) indices.push_back(i);
            for(auto i = (int)data.size() - 1; i >= n - 1; -- i) if(data[i]){
                T x = data[i] * inv;
                data[i] = 0;
                for(auto j: indices) data[i - (n - 1 - j)] -= x * p[j];
            }
            indices.clear();
            return reduce();
        }
        return *this = this->divrem(p).second;
    }
    power_series_base operator%(const power_series_base &p) const{
        return power_series_base(*this) %= p;
    }
    power_series_base &inplace_derivative(){
        if(!data.empty()){
            for(auto i = 0; i < data.size(); ++ i) data[i] *= i;
            data.erase(data.begin());
        }
        return *this;
    }
    // p'
    power_series_base derivative() const{
        return power_series_base(*this).inplace_derivative();
    }
    power_series_base &inplace_derivative_shift(){
        for(auto i = 0; i < data.size(); ++ i) data[i] *= i;
        return *this;
    }
    // xP'
    power_series_base derivative_shift() const{
        return power_series_base(*this).inplace_derivative_shift();
    }
    power_series_base &inplace_antiderivative(){
        T::precalc_inverse(data.size());
        data.push_back(0);
        for(auto i = (int)data.size() - 1; i >= 1; -- i) data[i] = data[i - 1] / i;
        data[0] = 0;
        return *this;
    }
    // Integral(P)
    power_series_base antiderivative() const{
        return power_series_base(*this).inplace_antiderivative();
    }
    power_series_base &inplace_shifted_antiderivative(){
        T::precalc_inverse(data.size());
        if(!data.empty()) data[0] = 0;
        for(auto i = 1; i < data.size(); ++ i) data[i] /= i;
        return *this;
    }
    // Integral(P/x)
    power_series_base shifted_antiderivative() const{
        return power_series_base(*this).inplace_shifted_antiderivative();
    }
    // O(n * log(n))
    power_series_base &inplace_log(int n){
        assert(!data.empty() && data[0] == 1);
        if(!n){
            data.clear();
            return *this;
        }
        (*this = derivative() * inverse(n)).resize(n - 1, T{0});
        inplace_antiderivative();
        return *this;
    }
    // O(n * log(n))
    power_series_base log(int n) const{
        return power_series_base(*this).inplace_log(n);
    }
    // O(n * log(n))
    power_series_base exp(int n) const{
        assert(data.empty() || data[0] == 0);
        power_series_base f{1}, g{1};
        for(auto s = 1; s < n; s <<= 1){
            power_series_base f2 = f.take(s << 1)._inplace_transform();
            power_series_base g2 = g.take(s << 1)._inplace_transform();
            power_series_base dt = take(s).inplace_derivative_shift();
            power_series_base w = dt;
            w._inplace_transform();
            for(auto i = 0; i < s; ++ i) w[i] *= f2[i << 1];
            w._inplace_transform(true);
            w -= f.derivative_shift();
            w.resize(s << 1, T{0});
            w._inplace_transform();
            w.inplace_dot_product(g2);
            w._inplace_transform(true);
            w.resize(s, T{0});
            w.insert(w.begin(), s, 0);
            w -= dt;
            power_series_base z = take(s << 1);
            z += w.inplace_shifted_antiderivative();
            z._inplace_transform();
            z.inplace_dot_product(f2);
            z._inplace_transform(true);
            f.resize(s << 1, T{0});
            f += z.inplace_clear_range(0, s);
            if(s << 1 < n) f._inverse_doubled_up(g, g2);
        }
        f.resize(n, T{0});
        return f;
    }
    // O(n * log(n))
    power_series_base &inplace_exp(int n){
        return *this = this->exp(n);
    }
    // O(n * log(n))
    template<class U>
    power_series_base &inplace_power(U e, int n){
        data.resize(n, T{0});
        if(e == 0 || n == 0){
            if(n) data[0] = T{1};
            return *this;
        }
        if(e < 0) return inplace_inverse(n).inplace_power(-e, n);
        if(all_of(data.begin(), data.end(), [&](auto x){ return x == T{0}; })) return *this;
        int pivot = find_if(data.begin(), data.end(), [&](auto x){ return x; }) - data.begin();
        if(pivot && e >= (n + pivot - 1) / pivot){
            fill(data.begin(), data.end(), T{0});
            return *this;
        }
        data.erase(data.begin(), data.begin() + pivot);
        n -= pivot * e;
        T pivot_c = data[0].power(e);
        ((*this /= data[0]).inplace_log(n) *= e).inplace_exp(n);
        data.insert(data.begin(), pivot * e, T{0});
        return *this *= pivot_c;
    }
    // O(n * log(n))
    template<class U>
    power_series_base power(U e, int n) const{
        return power_series_base(*this).inplace_power(e, n);
    }
    // Suppose there are data[i] distinct objects with weight i.
    // Returns a power series where i-th coefficient represents # of ways to select a set of objects with sum of weight i.
    // O(n * log(n))
    power_series_base &inplace_set(int n){
        assert(!data.empty() && data[0] == T{0});
        data.resize(n);
        for(auto i = n - 1; i >= 1; -- i) for(auto j = 2 * i; j < n; j += i) data[j] += data[i];
        for(auto i = 1; i < n; ++ i) (data[i] /= i) *= (i & 1 ? 1 : -1);
        return inplace_exp(n);
    }
    power_series_base set(int n) const{
        return power_series_base(*this).inplace_set(n);
    }
    // Suppose there are data[i] distinct objects with weight i.
    // Returns a power series where i-th coefficient represents # of ways to select a multiset of objects with sum of weight i.
    // O(n * log(n))
    power_series_base &inplace_multiset(int n){
        assert(!data.empty() && data[0] == T{0});
        data.resize(n);
        static vector<T> inv;
        inv.resize(n);
        for(auto i = 1; i < n; ++ i) inv[i] = T{1} / i;
        for(auto i = n - 1; i >= 1; -- i) for(auto j = 2 * i; j < n; j += i) data[j] += data[i] * inv[j / i];
        inv.clear(), inv.shrink_to_fit();
        return inplace_exp(n);
    }
    power_series_base multiset(int n) const{
        return power_series_base(*this).inplace_multiset(n);
    }
    static power_series_base multiply_all(const vector<power_series_base> &a){
        if(a.empty()) return {1};
        auto solve = [&](auto self, int l, int r)->power_series_base{
            if(r - l == 1) return a[l];
            int m = l + (r - l >> 1);
            return self(self, l, m) * self(self, m, r);
        };
        return solve(solve, 0, (int)a.size());
    }
#undef data
};
// Requires modular and number_theoric_transform
using power_series = power_series_base<modular, ntt>;
template<class T>
struct combinatorics{
    // O(n)
    static vector<T> precalc_fact(int n){
        vector<T> f(n + 1, 1);
        for(auto i = 1; i <= n; ++ i) f[i] = f[i - 1] * i;
        return f;
    }
    // O(n * m)
    static vector<vector<T>> precalc_C(int n, int m){
        vector<vector<T>> c(n + 1, vector<T>(m + 1));
        for(auto i = 0; i <= n; ++ i) for(auto j = 0; j <= min(i, m); ++ j) c[i][j] = i && j ? c[i - 1][j - 1] + c[i - 1][j] : T(1);
        return c;
    }
    int SZ = 0;
    vector<T> inv, fact, invfact;
    combinatorics(){ }
    // O(SZ)
    combinatorics(int SZ): SZ(SZ), inv(SZ + 1, 1), fact(SZ + 1, 1), invfact(SZ + 1, 1){
        for(auto i = 1; i <= SZ; ++ i) fact[i] = fact[i - 1] * i;
        invfact[SZ] = 1 / fact[SZ];
        for(auto i = SZ - 1; i >= 0; -- i){
            invfact[i] = invfact[i + 1] * (i + 1);
            inv[i + 1] = invfact[i + 1] * fact[i];
        }
    }
    // O(1)
    T C(int n, int k) const{
        return n < 0 ? C(-n + k - 1, k) * (k & 1 ? -1 : 1) : n < k || k < 0 ? T() : fact[n] * invfact[k] * invfact[n - k];
    }
    // O(1)
    T P(int n, int k) const{
        return n < k ? T() : fact[n] * invfact[n - k];
    }
    // O(1)
    T H(int n, int k) const{
        return C(n + k - 1, k);
    }
    // O(min(k, n - k))
    T naive_C(long long n, long long k) const{
        if(n < k) return 0;
        T res = 1;
        k = min(k, n - k);
        for(auto i = n; i > n - k; -- i) res *= i;
        return res * invfact[k];
    }
    // O(k)
    T naive_P(long long n, int k) const{
        if(n < k) return 0;
        T res = 1;
        for(auto i = n; i > n - k; -- i) res *= i;
        return res;
    }
    // O(k)
    T naive_H(long long n, int k) const{
        return naive_C(n + k - 1, k);
    }
    // O(1)
    bool parity_C(long long n, long long k) const{
        return n < k ? false : (n & k) == k;
    }
    // Number of ways to place n '('s and k ')'s starting with m copies of '(' such that in each prefix, number of '(' is equal or greater than ')'
    // Catalan(n, n, 0): n-th catalan number
    // Catalan(s, s+k-1, k-1): sum of products of k catalan numbers where the index of product sums up to s.
    // O(1)
    T Catalan(int n, int k, int m = 0) const{
        assert(0 <= min({n, k, m}));
        return k <= m ? C(n + k, n) : k <= n + m ? C(n + k, n) - C(n + k, k - m - 1) : T();
    }
};
int main(){
    cin.tie(0)->sync_with_stdio(0);
    cin.exceptions(ios::badbit | ios::failbit);
    int n, m;
    cin >> n >> m;
    if(n & 1){
        cout << "0\n";
        return 0;
    }
    combinatorics<modular> C(2 * n);
    vector<power_series> a;
    for(auto i = 0; i < m; ++ i){
        int l, r;
        cin >> l >> r, -- l;
        if(r - l + 1 & 1){
            int len = r - l >> 1;
            vector<modular> p(len + 1);
            p[0] = 1;
            p[len] = -C.Catalan(len, len);
            a.push_back(p);
        }
    }
    auto prod = power_series::multiply_all(a);
    modular res = 0;
    for(auto i = 0; i < (int)prod.size(); ++ i){
        int rem = n / 2 - i;
        res += prod[i] * C.Catalan(rem, rem);
    }
    cout << res << "\n";
    return 0;
}
/*
*/
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