// Copyright (C) 2016-2017 Yixuan Qiu <yixuan.qiu@cos.name>
//
// This Source Code Form is subject to the terms of the Mozilla
// Public License v. 2.0. If a copy of the MPL was not distributed
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.

#ifndef SIMPLE_RANDOM_H
#define SIMPLE_RANDOM_H

#include <Eigen/Core>

/// \cond

namespace Spectra {


// We need a simple pseudo random number generator here:
// 1. It is used to generate initial and restarted residual vector.
// 2. It is not necessary to be so "random" and advanced. All we hope
//    is that the residual vector is not in the space spanned by the
//    current Krylov space. This should be met almost surely.
// 3. We don't want to call RNG in C++, since we actually want the
//    algorithm to be deterministic. Also, calling RNG in C/C++ is not
//    allowed in R packages submitted to CRAN.
// 4. The method should be as simple as possible, so an LCG is enough.
// 5. Based on public domain code by Ray Gardner
//    http://stjarnhimlen.se/snippets/rg_rand.c


template <typename Scalar = double>
class SimpleRandom
{
private:
    typedef Eigen::Matrix<Scalar, Eigen::Dynamic, 1> Vector;

    const int m_a;     // multiplier
    const long m_max;  // 2^31 - 1
    long m_rand;

    inline long next_long_rand(long seed)
    {
        unsigned long lo, hi;

        lo = m_a * (long)(seed & 0xFFFF);
        hi = m_a * (long)((unsigned long)seed >> 16);
        lo += (hi & 0x7FFF) << 16;
        if((long)lo > m_max)
        {
            lo &= m_max;
            ++lo;
        }
        lo += hi >> 15;
        if((long)lo > m_max)
        {
            lo &= m_max;
            ++lo;
        }
        return (long)lo;
    }
public:
    SimpleRandom(unsigned long init_seed) :
        m_a(16807),
        m_max(2147483647L),
        m_rand(init_seed ? (init_seed & m_max) : 1)
    {}

    Scalar random()
    {
        m_rand = next_long_rand(m_rand);
        return Scalar(m_rand) / Scalar(m_max) - Scalar(0.5);
    }

    // Vector of random numbers of type Scalar
    // Ranging from -0.5 to 0.5
    Vector random_vec(const int len)
    {
        Vector res(len);
        for(int i = 0; i < len; i++)
        {
            m_rand = next_long_rand(m_rand);
            res[i] = Scalar(m_rand) / Scalar(m_max) - Scalar(0.5);
        }
        return res;
    }
};


} // namespace Spectra

/// \endcond

#endif // SIMPLE_RANDOM_H
