kyopro_library

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:heavy_check_mark: Bitwise XOR Convolution
(lib/convolution/bitwise_xor_convolution.hpp)

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Code

#pragma once

/**
 * @brief Bitwise XOR Convolution
 */

#include <vector>
#include <cassert>

#include "../convolution/fast_walsh_hadamard_transform.hpp"

template <typename T>
std::vector<T> bitwise_xor_convolution(std::vector<T> f, std::vector<T> g){
    const int n = (int) f.size();
    assert(f.size() == g.size());
    assert((n & (n - 1)) == 0);
    fast_walsh_hadamard_transform(f, false);
    fast_walsh_hadamard_transform(g, false);
    for(int i = 0; i < n; ++i){
        f[i] *= g[i];
    }
    fast_walsh_hadamard_transform(f, true);
    return f;
}
#line 2 "lib/convolution/bitwise_xor_convolution.hpp"

/**
 * @brief Bitwise XOR Convolution
 */

#include <vector>
#include <cassert>

#line 2 "lib/convolution/fast_walsh_hadamard_transform.hpp"

/**
 * @brief Fast Walsh-Hadamard Transform
 */

#line 9 "lib/convolution/fast_walsh_hadamard_transform.hpp"

template <typename T>
void fast_walsh_hadamard_transform(std::vector<T> &f, bool inv = false){
    const int n = (int) f.size();
    assert((n & (n - 1)) == 0);
    for(int i = 1; i < n; i <<= 1){
        for(int j = 0; j < n; j += i << 1){
            for(int k = 0; k < i; ++k){
                T s = f[j + k], t = f[j + k + i];
                f[j + k] = s + t;
                f[j + k + i] = s - t;
            }
        }
    }
    if(inv){
        T inv_n = T(1) / n;
        for(auto &x : f) x *= inv_n;
    }
}
#line 11 "lib/convolution/bitwise_xor_convolution.hpp"

template <typename T>
std::vector<T> bitwise_xor_convolution(std::vector<T> f, std::vector<T> g){
    const int n = (int) f.size();
    assert(f.size() == g.size());
    assert((n & (n - 1)) == 0);
    fast_walsh_hadamard_transform(f, false);
    fast_walsh_hadamard_transform(g, false);
    for(int i = 0; i < n; ++i){
        f[i] *= g[i];
    }
    fast_walsh_hadamard_transform(f, true);
    return f;
}
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