lol/src/math/real.cpp

//
// Lol Engine
//
// Copyright: (c) 2010-2012 Sam Hocevar <sam@hocevar.net>
//   This program is free software; you can redistribute it and/or
//   modify it under the terms of the Do What The Fuck You Want To
//   Public License, Version 2, as published by Sam Hocevar. See
//   http://sam.zoy.org/projects/COPYING.WTFPL for more details.
//

#if defined HAVE_CONFIG_H
#   include "config.h"
#endif

#if defined _XBOX
#   define _USE_MATH_DEFINES /* for M_PI */
#   include <xtl.h>
#   undef near /* Fuck Microsoft */
#   undef far /* Fuck Microsoft again */
#elif defined WIN32
#   define _USE_MATH_DEFINES /* for M_PI */
#   define WIN32_LEAN_AND_MEAN
#   include <windows.h>
#   undef near /* Fuck Microsoft */
#   undef far /* Fuck Microsoft again */
#endif

#include <new>
#include <cstring>
#include <cstdio>
#include <cstdlib>

#include "core.h"

using namespace std;

namespace lol
{

/*
 * First handle explicit specialisation of our templates.
 *
 * Initialisation order is not important because everything is
 * done on demand, but here is the dependency list anyway:
 *  - fast_log() requires R_1
 *  - log() requires R_LN2
 *  - re() require R_2
 *  - exp() requires R_0, R_1, R_LN2
 *  - sqrt() requires R_3
 */

static real fast_log(real const &x);
static real fast_pi();

#define LOL_CONSTANT_GETTER(name, value) \
    template<> real const& real::name() \
    { \
        static real const ret = value; \
        return ret; \
    }

LOL_CONSTANT_GETTER(R_0,        (real)0.0);
LOL_CONSTANT_GETTER(R_1,        (real)1.0);
LOL_CONSTANT_GETTER(R_2,        (real)2.0);
LOL_CONSTANT_GETTER(R_3,        (real)3.0);
LOL_CONSTANT_GETTER(R_10,       (real)10.0);

LOL_CONSTANT_GETTER(R_LN2,      fast_log(R_2()));
LOL_CONSTANT_GETTER(R_LN10,     log(R_10()));
LOL_CONSTANT_GETTER(R_LOG2E,    re(R_LN2()));
LOL_CONSTANT_GETTER(R_LOG10E,   re(R_LN10()));
LOL_CONSTANT_GETTER(R_E,        exp(R_1()));
LOL_CONSTANT_GETTER(R_PI,       fast_pi());
LOL_CONSTANT_GETTER(R_PI_2,     R_PI() / 2);
LOL_CONSTANT_GETTER(R_PI_3,     R_PI() / R_3());
LOL_CONSTANT_GETTER(R_PI_4,     R_PI() / 4);
LOL_CONSTANT_GETTER(R_1_PI,     re(R_PI()));
LOL_CONSTANT_GETTER(R_2_PI,     R_1_PI() * 2);
LOL_CONSTANT_GETTER(R_2_SQRTPI, re(sqrt(R_PI())) * 2);
LOL_CONSTANT_GETTER(R_SQRT2,    sqrt(R_2()));
LOL_CONSTANT_GETTER(R_SQRT3,    sqrt(R_3()));
LOL_CONSTANT_GETTER(R_SQRT1_2,  R_SQRT2() / 2);

#undef LOL_CONSTANT_GETTER

/*
 * Now carry on with the rest of the Real class.
 */

template<> real::Real()
{
    m_mantissa = new uint32_t[BIGITS];
    memset(m_mantissa, 0, BIGITS * sizeof(uint32_t));
    m_signexp = 0;
}

template<> real::Real(real const &x)
{
    m_mantissa = new uint32_t[BIGITS];
    memcpy(m_mantissa, x.m_mantissa, BIGITS * sizeof(uint32_t));
    m_signexp = x.m_signexp;
}

template<> real const &real::operator =(real const &x)
{
    if (&x != this)
    {
        memcpy(m_mantissa, x.m_mantissa, BIGITS * sizeof(uint32_t));
        m_signexp = x.m_signexp;
    }

    return *this;
}

template<> real::~Real()
{
    delete[] m_mantissa;
}

template<> real::Real(float f) { new(this) real((double)f); }
template<> real::Real(int i) { new(this) real((double)i); }
template<> real::Real(unsigned int i) { new(this) real((double)i); }

template<> real::Real(double d)
{
    new(this) real();

    union { double d; uint64_t x; } u = { d };

    uint32_t sign = (u.x >> 63) << 31;
    uint32_t exponent = (u.x << 1) >> 53;

    switch (exponent)
    {
    case 0x00:
        m_signexp = sign;
        break;
    case 0x7ff:
        m_signexp = sign | 0x7fffffffu;
        break;
    default:
        m_signexp = sign | (exponent + (1 << 30) - (1 << 10));
        break;
    }

    m_mantissa[0] = (uint32_t)(u.x >> 20);
    m_mantissa[1] = (uint32_t)(u.x << 12);
    memset(m_mantissa + 2, 0, (BIGITS - 2) * sizeof(m_mantissa[0]));
}

template<> real::operator float() const { return (float)(double)(*this); }
template<> real::operator int() const { return (int)(double)(*this); }
template<> real::operator unsigned() const { return (unsigned)(double)(*this); }

template<> real::operator double() const
{
    union { double d; uint64_t x; } u;

    /* Get sign */
    u.x = m_signexp >> 31;
    u.x <<= 11;

    /* Compute new exponent */
    uint32_t exponent = (m_signexp << 1) >> 1;
    int e = (int)exponent - (1 << 30) + (1 << 10);

    if (e < 0)
        u.x <<= 52;
    else if (e >= 0x7ff)
    {
        u.x |= 0x7ff;
        u.x <<= 52;
    }
    else
    {
        u.x |= e;

        /* Store mantissa if necessary */
        u.x <<= 32;
        u.x |= m_mantissa[0];
        u.x <<= 20;
        u.x |= m_mantissa[1] >> 12;
        /* Rounding */
        u.x += (m_mantissa[1] >> 11) & 1;
    }

    return u.d;
}

/*
 * Create a real number from an ASCII representation
 */
template<> real::Real(char const *str)
{
    real ret = 0;
    int exponent = 0;
    bool comma = false, nonzero = false, negative = false, finished = false;

    for (char const *p = str; *p && !finished; p++)
    {
        switch (*p)
        {
        case '-':
        case '+':
            if (p != str)
                break;
            negative = (*p == '-');
            break;
        case '.':
            if (comma)
                finished = true;
            comma = true;
            break;
        case '0': case '1': case '2': case '3': case '4':
        case '5': case '6': case '7': case '8': case '9':
            if (nonzero)
            {
                real x = ret + ret;
                x = x + x + ret;
                ret = x + x;
            }
            if (*p != '0')
            {
                ret += (int)(*p - '0');
                nonzero = true;
            }
            if (comma)
                exponent--;
            break;
        case 'e':
        case 'E':
            exponent += atoi(p + 1);
            finished = true;
            break;
        default:
            finished = true;
            break;
        }
    }

    if (exponent)
        ret *= pow(R_10(), (real)exponent);

    if (negative)
        ret = -ret;

    new(this) real(ret);
}

template<> real real::operator +() const
{
    return *this;
}

template<> real real::operator -() const
{
    real ret = *this;
    ret.m_signexp ^= 0x80000000u;
    return ret;
}

template<> real real::operator +(real const &x) const
{
    if (x.m_signexp << 1 == 0)
        return *this;

    /* Ensure both arguments are positive. Otherwise, switch signs,
     * or replace + with -. */
    if (m_signexp >> 31)
        return -(-*this + -x);

    if (x.m_signexp >> 31)
        return *this - (-x);

    /* Ensure *this has the larger exponent (no need for the mantissa to
     * be larger, as in subtraction). Otherwise, switch. */
    if ((m_signexp << 1) < (x.m_signexp << 1))
        return x + *this;

    real ret;

    int e1 = m_signexp - (1 << 30) + 1;
    int e2 = x.m_signexp - (1 << 30) + 1;

    int bigoff = (e1 - e2) / BIGIT_BITS;
    int off = e1 - e2 - bigoff * BIGIT_BITS;

    if (bigoff > BIGITS)
        return *this;

    ret.m_signexp = m_signexp;

    uint64_t carry = 0;
    for (int i = BIGITS; i--; )
    {
        carry += m_mantissa[i];
        if (i - bigoff >= 0)
            carry += x.m_mantissa[i - bigoff] >> off;

        if (off && i - bigoff > 0)
            carry += (x.m_mantissa[i - bigoff - 1] << (BIGIT_BITS - off)) & 0xffffffffu;
        else if (i - bigoff == 0)
            carry += (uint64_t)1 << (BIGIT_BITS - off);

        ret.m_mantissa[i] = (uint32_t)carry;
        carry >>= BIGIT_BITS;
    }

    /* Renormalise in case we overflowed the mantissa */
    if (carry)
    {
        carry--;
        for (int i = 0; i < BIGITS; i++)
        {
            uint32_t tmp = ret.m_mantissa[i];
            ret.m_mantissa[i] = ((uint32_t)carry << (BIGIT_BITS - 1))
                              | (tmp >> 1);
            carry = tmp & 1u;
        }
        ret.m_signexp++;
    }

    return ret;
}

template<> real real::operator -(real const &x) const
{
    if (x.m_signexp << 1 == 0)
        return *this;

    /* Ensure both arguments are positive. Otherwise, switch signs,
     * or replace - with +. */
    if (m_signexp >> 31)
        return -(-*this + x);

    if (x.m_signexp >> 31)
        return (*this) + (-x);

    /* Ensure *this is larger than x */
    if (*this < x)
        return -(x - *this);

    real ret;

    int e1 = m_signexp - (1 << 30) + 1;
    int e2 = x.m_signexp - (1 << 30) + 1;

    int bigoff = (e1 - e2) / BIGIT_BITS;
    int off = e1 - e2 - bigoff * BIGIT_BITS;

    if (bigoff > BIGITS)
        return *this;

    ret.m_signexp = m_signexp;

    /* int64_t instead of uint64_t to preserve sign through shifts */
    int64_t carry = 0;
    for (int i = 0; i < bigoff; i++)
    {
        carry -= x.m_mantissa[BIGITS - 1 - i];
        /* Emulates a signed shift */
        carry >>= BIGIT_BITS;
        carry |= carry << BIGIT_BITS;
    }
    if (bigoff < BIGITS)
        carry -= x.m_mantissa[BIGITS - 1 - bigoff] & (((int64_t)1 << off) - 1);
    carry /= (int64_t)1 << off;

    for (int i = BIGITS; i--; )
    {
        carry += m_mantissa[i];
        if (i - bigoff >= 0)
            carry -= x.m_mantissa[i - bigoff] >> off;

        if (off && i - bigoff > 0)
            carry -= (x.m_mantissa[i - bigoff - 1] << (BIGIT_BITS - off)) & 0xffffffffu;
        else if (i - bigoff == 0)
            carry -= (uint64_t)1 << (BIGIT_BITS - off);

        ret.m_mantissa[i] = (uint32_t)carry;
        carry >>= BIGIT_BITS;
        carry |= carry << BIGIT_BITS;
    }

    carry += 1;

    /* Renormalise if we underflowed the mantissa */
    if (carry == 0)
    {
        /* How much do we need to shift the mantissa? FIXME: this could
         * be computed above */
        off = 0;
        for (int i = 0; i < BIGITS; i++)
        {
            if (!ret.m_mantissa[i])
            {
                off += BIGIT_BITS;
                continue;
            }

            for (uint32_t tmp = ret.m_mantissa[i]; tmp < 0x80000000u; tmp <<= 1)
                off++;
            break;
        }
        if (off == BIGITS * BIGIT_BITS)
            ret.m_signexp &= 0x80000000u;
        else
        {
            off++; /* Shift one more to get rid of the leading one */
            ret.m_signexp -= off;

            bigoff = off / BIGIT_BITS;
            off -= bigoff * BIGIT_BITS;

            for (int i = 0; i < BIGITS; i++)
            {
                uint32_t tmp = 0;
                if (i + bigoff < BIGITS)
                    tmp |= ret.m_mantissa[i + bigoff] << off;
                if (off && i + bigoff + 1 < BIGITS)
                    tmp |= ret.m_mantissa[i + bigoff + 1] >> (BIGIT_BITS - off);
                ret.m_mantissa[i] = tmp;
            }
        }
    }

    return ret;
}

template<> real real::operator *(real const &x) const
{
    real ret;

    if (m_signexp << 1 == 0 || x.m_signexp << 1 == 0)
    {
        ret = (m_signexp << 1 == 0) ? *this : x;
        ret.m_signexp ^= x.m_signexp & 0x80000000u;
        return ret;
    }

    ret.m_signexp = (m_signexp ^ x.m_signexp) & 0x80000000u;
    int e = (m_signexp & 0x7fffffffu) - (1 << 30) + 1
          + (x.m_signexp & 0x7fffffffu) - (1 << 30) + 1;

    /* Accumulate low order product; no need to store it, we just
     * want the carry value */
    uint64_t carry = 0, hicarry = 0, prev;
    for (int i = 0; i < BIGITS; i++)
    {
        for (int j = 0; j < i + 1; j++)
        {
            prev = carry;
            carry += (uint64_t)m_mantissa[BIGITS - 1 - j]
                   * (uint64_t)x.m_mantissa[BIGITS - 1 + j - i];
            if (carry < prev)
                hicarry++;
        }
        carry >>= BIGIT_BITS;
        carry |= hicarry << BIGIT_BITS;
        hicarry >>= BIGIT_BITS;
    }

    for (int i = 0; i < BIGITS; i++)
    {
        for (int j = i + 1; j < BIGITS; j++)
        {
            prev = carry;
            carry += (uint64_t)m_mantissa[BIGITS - 1 - j]
                   * (uint64_t)x.m_mantissa[j - 1 - i];
            if (carry < prev)
                hicarry++;
        }
        prev = carry;
        carry += m_mantissa[BIGITS - 1 - i];
        carry += x.m_mantissa[BIGITS - 1 - i];
        if (carry < prev)
            hicarry++;
        ret.m_mantissa[BIGITS - 1 - i] = carry & 0xffffffffu;
        carry >>= BIGIT_BITS;
        carry |= hicarry << BIGIT_BITS;
        hicarry >>= BIGIT_BITS;
    }

    /* Renormalise in case we overflowed the mantissa */
    if (carry)
    {
        carry--;
        for (int i = 0; i < BIGITS; i++)
        {
            uint32_t tmp = (uint32_t)ret.m_mantissa[i];
            ret.m_mantissa[i] = ((uint32_t)carry << (BIGIT_BITS - 1))
                              | (tmp >> 1);
            carry = tmp & 1u;
        }
        e++;
    }

    ret.m_signexp |= e + (1 << 30) - 1;

    return ret;
}

template<> real real::operator /(real const &x) const
{
    return *this * re(x);
}

template<> real const &real::operator +=(real const &x)
{
    real tmp = *this;
    return *this = tmp + x;
}

template<> real const &real::operator -=(real const &x)
{
    real tmp = *this;
    return *this = tmp - x;
}

template<> real const &real::operator *=(real const &x)
{
    real tmp = *this;
    return *this = tmp * x;
}

template<> real const &real::operator /=(real const &x)
{
    real tmp = *this;
    return *this = tmp / x;
}

template<> bool real::operator ==(real const &x) const
{
    if ((m_signexp << 1) == 0 && (x.m_signexp << 1) == 0)
        return true;

    if (m_signexp != x.m_signexp)
        return false;

    return memcmp(m_mantissa, x.m_mantissa, BIGITS * sizeof(uint32_t)) == 0;
}

template<> bool real::operator !=(real const &x) const
{
    return !(*this == x);
}

template<> bool real::operator <(real const &x) const
{
    /* Ensure both numbers are positive */
    if (m_signexp >> 31)
        return (x.m_signexp >> 31) ? -*this > -x : true;

    if (x.m_signexp >> 31)
        return false;

    /* Compare all relevant bits */
    if (m_signexp != x.m_signexp)
        return m_signexp < x.m_signexp;

    for (int i = 0; i < BIGITS; i++)
        if (m_mantissa[i] != x.m_mantissa[i])
            return m_mantissa[i] < x.m_mantissa[i];

    return false;
}

template<> bool real::operator <=(real const &x) const
{
    return !(*this > x);
}

template<> bool real::operator >(real const &x) const
{
    /* Ensure both numbers are positive */
    if (m_signexp >> 31)
        return (x.m_signexp >> 31) ? -*this < -x : false;

    if (x.m_signexp >> 31)
        return true;

    /* Compare all relevant bits */
    if (m_signexp != x.m_signexp)
        return m_signexp > x.m_signexp;

    for (int i = 0; i < BIGITS; i++)
        if (m_mantissa[i] != x.m_mantissa[i])
            return m_mantissa[i] > x.m_mantissa[i];

    return false;
}

template<> bool real::operator >=(real const &x) const
{
    return !(*this < x);
}

template<> bool real::operator !() const
{
    return !(bool)*this;
}

template<> real::operator bool() const
{
    /* A real is "true" if it is non-zero (exponent is non-zero) AND
     * not NaN (exponent is not full bits OR higher order mantissa is zero) */
    uint32_t exponent = m_signexp << 1;
    return exponent && (~exponent || m_mantissa[0] == 0);
}

template<> real min(real const &a, real const &b)
{
    return (a < b) ? a : b;
}

template<> real max(real const &a, real const &b)
{
    return (a > b) ? a : b;
}

template<> real clamp(real const &x, real const &a, real const &b)
{
    return (x < a) ? a : (x > b) ? b : x;
}

template<> real re(real const &x)
{
    if (!(x.m_signexp << 1))
    {
        real ret = x;
        ret.m_signexp = x.m_signexp | 0x7fffffffu;
        ret.m_mantissa[0] = 0;
        return ret;
    }

    /* Use the system's float inversion to approximate 1/x */
    union { float f; uint32_t x; } u = { 1.0f }, v = { 1.0f };
    v.x |= x.m_mantissa[0] >> 9;
    v.f = 1.0f / v.f;

    real ret;
    ret.m_mantissa[0] = v.x << 9;

    uint32_t sign = x.m_signexp & 0x80000000u;
    ret.m_signexp = sign;

    int exponent = (x.m_signexp & 0x7fffffffu) + 1;
    exponent = -exponent + (v.x >> 23) - (u.x >> 23);
    ret.m_signexp |= (exponent - 1) & 0x7fffffffu;

    /* FIXME: 1+log2(BIGITS) steps of Newton-Raphson seems to be enough for
     * convergence, but this hasn't been checked seriously. */
    for (int i = 1; i <= real::BIGITS; i *= 2)
        ret = ret * (real::R_2() - ret * x);

    return ret;
}

template<> real sqrt(real const &x)
{
    /* if zero, return x */
    if (!(x.m_signexp << 1))
        return x;

    /* if negative, return NaN */
    if (x.m_signexp >> 31)
    {
        real ret;
        ret.m_signexp = 0x7fffffffu;
        ret.m_mantissa[0] = 0xffffu;
        return ret;
    }

    /* Use the system's float inversion to approximate 1/sqrt(x). First
     * we construct a float in the [1..4[ range that has roughly the same
     * mantissa as our real. Its exponent is 0 or 1, depending on the
     * partity of x. The final exponent is 0, -1 or -2. We use the final
     * exponent and final mantissa to pre-fill the result. */
    union { float f; uint32_t x; } u = { 1.0f }, v = { 2.0f };
    v.x -= ((x.m_signexp & 1) << 23);
    v.x |= x.m_mantissa[0] >> 9;
    v.f = 1.0f / sqrtf(v.f);

    real ret;
    ret.m_mantissa[0] = v.x << 9;

    uint32_t sign = x.m_signexp & 0x80000000u;
    ret.m_signexp = sign;

    uint32_t exponent = (x.m_signexp & 0x7fffffffu);
    exponent = ((1 << 30) + (1 << 29) - 1) - (exponent + 1) / 2;
    exponent = exponent + (v.x >> 23) - (u.x >> 23);
    ret.m_signexp |= exponent & 0x7fffffffu;

    /* FIXME: 1+log2(BIGITS) steps of Newton-Raphson seems to be enough for
     * convergence, but this hasn't been checked seriously. */
    for (int i = 1; i <= real::BIGITS; i *= 2)
    {
        ret = ret * (real::R_3() - ret * ret * x);
        ret.m_signexp--;
    }

    return ret * x;
}

template<> real cbrt(real const &x)
{
    /* if zero, return x */
    if (!(x.m_signexp << 1))
        return x;

    /* Use the system's float inversion to approximate cbrt(x). First
     * we construct a float in the [1..8[ range that has roughly the same
     * mantissa as our real. Its exponent is 0, 1 or 2, depending on the
     * value of x. The final exponent is 0 or 1 (special case). We use
     * the final exponent and final mantissa to pre-fill the result. */
    union { float f; uint32_t x; } u = { 1.0f }, v = { 1.0f };
    v.x += ((x.m_signexp % 3) << 23);
    v.x |= x.m_mantissa[0] >> 9;
    v.f = powf(v.f, 0.33333333333333333f);

    real ret;
    ret.m_mantissa[0] = v.x << 9;

    uint32_t sign = x.m_signexp & 0x80000000u;
    ret.m_signexp = sign;

    int exponent = (x.m_signexp & 0x7fffffffu) - (1 << 30) + 1;
    exponent = exponent / 3 + (v.x >> 23) - (u.x >> 23);
    ret.m_signexp |= (exponent + (1 << 30) - 1) & 0x7fffffffu;

    /* FIXME: 1+log2(BIGITS) steps of Newton-Raphson seems to be enough for
     * convergence, but this hasn't been checked seriously. */
    for (int i = 1; i <= real::BIGITS; i *= 2)
    {
        static real third = re(real::R_3());
        ret = third * (x / (ret * ret) + (ret / 2));
    }

    return ret;
}

template<> real pow(real const &x, real const &y)
{
    if (!y)
        return real::R_1();
    if (!x)
        return real::R_0();
    if (x > real::R_0())
        return exp(y * log(x));
    else /* x < 0 */
    {
        /* Odd integer exponent */
        if (y == (round(y / 2) * 2))
            return exp(y * log(-x));

        /* Even integer exponent */
        if (y == round(y))
            return -exp(y * log(-x));

        /* FIXME: negative nth root */
        return real::R_0();
    }
}

static real fast_fact(int x)
{
    real ret = real::R_1();
    int i = 1, multiplier = 1, exponent = 0;

    for (;;)
    {
        if (i++ >= x)
            /* Multiplication is a no-op if multiplier == 1 */
            return ldexp(ret * multiplier, exponent);

        int tmp = i;
        while ((tmp & 1) == 0)
        {
            tmp >>= 1;
            exponent++;
        }
        if (multiplier * tmp / tmp != multiplier)
        {
            ret *= multiplier;
            multiplier = 1;
        }
        multiplier *= tmp;
    }
}

template<> real gamma(real const &x)
{
    /* We use Spouge's formula. FIXME: precision is far from acceptable,
     * especially with large values. We need to compute this with higher
     * precision values in order to attain the desired accuracy. It might
     * also be useful to sort the ck values by decreasing absolute value
     * and do the addition in this order. */
    int a = ceilf(logf(2) / logf(2 * M_PI) * real::BIGITS * real::BIGIT_BITS);

    real ret = sqrt(real::R_PI() * 2);
    real fact_k_1 = real::R_1();

    for (int k = 1; k < a; k++)
    {
        real a_k = (real)(a - k);
        real ck = pow(a_k, (real)((float)k - 0.5)) * exp(a_k)
                / (fact_k_1 * (x + (real)(k - 1)));
        ret += ck;
        fact_k_1 *= (real)-k;
    }

    ret *= pow(x + (real)(a - 1), x - (real::R_1() / 2));
    ret *= exp(-x - (real)(a - 1));

    return ret;
}

template<> real fabs(real const &x)
{
    real ret = x;
    ret.m_signexp &= 0x7fffffffu;
    return ret;
}

static real fast_log(real const &x)
{
    /* This fast log method is tuned to work on the [1..2] range and
     * no effort whatsoever was made to improve convergence outside this
     * domain of validity. It can converge pretty fast, provided we use
     * the following variable substitutions:
     *    y = sqrt(x)
     *    z = (y - 1) / (y + 1)
     *
     * And the following identities:
     *    ln(x) = 2 ln(y)
     *          = 2 ln((1 + z) / (1 - z))
     *          = 4 z (1 + z^2 / 3 + z^4 / 5 + z^6 / 7...)
     *
     * Any additional sqrt() call would halve the convergence time, but
     * would also impact the final precision. For now we stick with one
     * sqrt() call. */
    real y = sqrt(x);
    real z = (y - real::R_1()) / (y + real::R_1()), z2 = z * z, zn = z2;
    real sum = real::R_1();

    for (int i = 3; ; i += 2)
    {
        real newsum = sum + zn / (real)i;
        if (newsum == sum)
            break;
        sum = newsum;
        zn *= z2;
    }

    return z * sum * 4;
}

template<> real log(real const &x)
{
    /* Strategy for log(x): if x = 2^E*M then log(x) = E log(2) + log(M),
     * with the property that M is in [1..2[, so fast_log() applies here. */
    real tmp = x;
    if (x.m_signexp >> 31 || x.m_signexp == 0)
    {
        tmp.m_signexp = 0xffffffffu;
        tmp.m_mantissa[0] = 0xffffffffu;
        return tmp;
    }
    tmp.m_signexp = (1 << 30) - 1;
    return (real)(int)(x.m_signexp - (1 << 30) + 1) * real::R_LN2()
           + fast_log(tmp);
}

template<> real log2(real const &x)
{
    /* Strategy for log2(x): see log(x). */
    real tmp = x;
    if (x.m_signexp >> 31 || x.m_signexp == 0)
    {
        tmp.m_signexp = 0xffffffffu;
        tmp.m_mantissa[0] = 0xffffffffu;
        return tmp;
    }
    tmp.m_signexp = (1 << 30) - 1;
    return (real)(int)(x.m_signexp - (1 << 30) + 1)
           + fast_log(tmp) * real::R_LOG2E();
}

template<> real log10(real const &x)
{
    return log(x) * real::R_LOG10E();
}

static real fast_exp_sub(real const &x, real const &y)
{
    /* This fast exp method is tuned to work on the [-1..1] range and
     * no effort whatsoever was made to improve convergence outside this
     * domain of validity. The argument y is used for cases where we
     * don't want the leading 1 in the Taylor series. */
    real ret = real::R_1() - y, xn = x;
    int i = 1;

    for (;;)
    {
        real newret = ret + xn;
        if (newret == ret)
            break;
        ret = newret * ++i;
        xn *= x;
    }

    return ret / fast_fact(i);
}

template<> real exp(real const &x)
{
    /* Strategy for exp(x): the Taylor series does not converge very fast
     * with large positive or negative values.
     *
     * However, we know that the result is going to be in the form M*2^E,
     * where M is the mantissa and E the exponent. We first try to predict
     * a value for E, which is approximately log2(exp(x)) = x / log(2).
     *
     * Let E0 be an integer close to x / log(2). We need to find a value x0
     * such that exp(x) = 2^E0 * exp(x0). We get x0 = x - E0 log(2).
     *
     * Thus the final algorithm:
     *  int E0 = x / log(2)
     *  real x0 = x - E0 log(2)
     *  real x1 = exp(x0)
     *  return x1 * 2^E0
     */
    int e0 = x / real::R_LN2();
    real x0 = x - (real)e0 * real::R_LN2();
    real x1 = fast_exp_sub(x0, real::R_0());
    x1.m_signexp += e0;
    return x1;
}

template<> real exp2(real const &x)
{
    /* Strategy for exp2(x): see strategy in exp(). */
    int e0 = x;
    real x0 = x - (real)e0;
    real x1 = fast_exp_sub(x0 * real::R_LN2(), real::R_0());
    x1.m_signexp += e0;
    return x1;
}

template<> real sinh(real const &x)
{
    /* We cannot always use (exp(x)-exp(-x))/2 because we'll lose
     * accuracy near zero. We only use this identity for |x|>0.5. If
     * |x|<=0.5, we compute exp(x)-1 and exp(-x)-1 instead. */
    bool near_zero = (fabs(x) < real::R_1() / 2);
    real x1 = near_zero ? fast_exp_sub(x, real::R_1()) : exp(x);
    real x2 = near_zero ? fast_exp_sub(-x, real::R_1()) : exp(-x);
    return (x1 - x2) / 2;
}

template<> real tanh(real const &x)
{
    /* See sinh() for the strategy here */
    bool near_zero = (fabs(x) < real::R_1() / 2);
    real x1 = near_zero ? fast_exp_sub(x, real::R_1()) : exp(x);
    real x2 = near_zero ? fast_exp_sub(-x, real::R_1()) : exp(-x);
    real x3 = near_zero ? x1 + x2 + real::R_2() : x1 + x2;
    return (x1 - x2) / x3;
}

template<> real cosh(real const &x)
{
    /* No need to worry about accuracy here; maybe the last bit is slightly
     * off, but that's about it. */
    return (exp(x) + exp(-x)) / 2;
}

template<> real frexp(real const &x, int *exp)
{
    if (!x)
    {
        *exp = 0;
        return x;
    }

    real ret = x;
    int exponent = (ret.m_signexp & 0x7fffffffu) - (1 << 30) + 1;
    *exp = exponent + 1;
    ret.m_signexp -= exponent + 1;
    return ret;
}

template<> real ldexp(real const &x, int exp)
{
    real ret = x;
    if (ret)
        ret.m_signexp += exp;
    return ret;
}

template<> real modf(real const &x, real *iptr)
{
    real absx = fabs(x);
    real tmp = floor(absx);

    *iptr = copysign(tmp, x);
    return copysign(absx - tmp, x);
}

template<> real ulp(real const &x)
{
    real ret = real::R_1();
    if (x)
        ret.m_signexp = x.m_signexp + 1 - real::BIGITS * real::BIGIT_BITS;
    else
        ret.m_signexp = 0;
    return ret;
}

template<> real nextafter(real const &x, real const &y)
{
    if (x == y)
        return x;
    else if (x < y)
        return x + ulp(x);
    else
        return x - ulp(x);
}

template<> real copysign(real const &x, real const &y)
{
    real ret = x;
    ret.m_signexp &= 0x7fffffffu;
    ret.m_signexp |= y.m_signexp & 0x80000000u;
    return ret;
}

template<> real floor(real const &x)
{
    /* Strategy for floor(x):
     *  - if negative, return -ceil(-x)
     *  - if zero or negative zero, return x
     *  - if less than one, return zero
     *  - otherwise, if e is the exponent, clear all bits except the
     *    first e. */
    if (x < -real::R_0())
        return -ceil(-x);
    if (!x)
        return x;
    if (x < real::R_1())
        return real::R_0();

    real ret = x;
    int exponent = x.m_signexp - (1 << 30) + 1;

    for (int i = 0; i < real::BIGITS; i++)
    {
        if (exponent <= 0)
            ret.m_mantissa[i] = 0;
        else if (exponent < real::BIGIT_BITS)
            ret.m_mantissa[i] &= ~((1 << (real::BIGIT_BITS - exponent)) - 1);

        exponent -= real::BIGIT_BITS;
    }

    return ret;
}

template<> real ceil(real const &x)
{
    /* Strategy for ceil(x):
     *  - if negative, return -floor(-x)
     *  - if x == floor(x), return x
     *  - otherwise, return floor(x) + 1 */
    if (x < -real::R_0())
        return -floor(-x);
    real ret = floor(x);
    if (x == ret)
        return ret;
    else
        return ret + real::R_1();
}

template<> real round(real const &x)
{
    if (x < real::R_0())
        return -round(-x);

    return floor(x + (real::R_1() / 2));
}

template<> real fmod(real const &x, real const &y)
{
    if (!y)
        return real::R_0(); /* FIXME: return NaN */

    if (!x)
        return x;

    real tmp = round(x / y);
    return x - tmp * y;
}

template<> real sin(real const &x)
{
    int switch_sign = x.m_signexp & 0x80000000u;

    real absx = fmod(fabs(x), real::R_PI() * 2);
    if (absx > real::R_PI())
    {
        absx -= real::R_PI();
        switch_sign = !switch_sign;
    }

    if (absx > real::R_PI_2())
        absx = real::R_PI() - absx;

    real ret = real::R_0(), fact = real::R_1(), xn = absx, mx2 = -absx * absx;
    int i = 1;
    for (;;)
    {
        real newret = ret + xn;
        if (newret == ret)
            break;
        ret = newret * ((i + 1) * (i + 2));
        xn *= mx2;
        i += 2;
    }
    ret /= fast_fact(i);

    /* Propagate sign */
    if (switch_sign)
        ret.m_signexp ^= 0x80000000u;
    return ret;
}

template<> real cos(real const &x)
{
    return sin(real::R_PI_2() - x);
}

template<> real tan(real const &x)
{
    /* Constrain input to [-π,π] */
    real y = fmod(x, real::R_PI());

    /* Constrain input to [-π/2,π/2] */
    if (y < -real::R_PI_2())
        y += real::R_PI();
    else if (y > real::R_PI_2())
        y -= real::R_PI();

    /* In [-π/4,π/4] return sin/cos */
    if (fabs(y) <= real::R_PI_4())
        return sin(y) / cos(y);

    /* Otherwise, return cos/sin */
    if (y > real::R_0())
        y = real::R_PI_2() - y;
    else
        y = -real::R_PI_2() - y;

    return cos(y) / sin(y);
}

static inline real asinacos(real const &x, int is_asin, int is_negative)
{
    /* Strategy for asin(): in [-0.5..0.5], use a Taylor series around
     * zero. In [0.5..1], use asin(x) = π/2 - 2*asin(sqrt((1-x)/2)), and
     * in [-1..-0.5] just revert the sign.
     * Strategy for acos(): use acos(x) = π/2 - asin(x) and try not to
     * lose the precision around x=1. */
    real absx = fabs(x);
    int around_zero = (absx < (real::R_1() / 2));

    if (!around_zero)
        absx = sqrt((real::R_1() - absx) / 2);

    real ret = absx, xn = absx, x2 = absx * absx, fact1 = 2, fact2 = 1;
    for (int i = 1; ; i++)
    {
        xn *= x2;
        real mul = (real)(2 * i + 1);
        real newret = ret + ldexp(fact1 * xn / (mul * fact2), -2 * i);
        if (newret == ret)
            break;
        ret = newret;
        fact1 *= (real)((2 * i + 1) * (2 * i + 2));
        fact2 *= (real)((i + 1) * (i + 1));
    }

    if (is_negative)
        ret = -ret;

    if (around_zero)
        ret = is_asin ? ret : real::R_PI_2() - ret;
    else
    {
        real adjust = is_negative ? real::R_PI() : real::R_0();
        if (is_asin)
            ret = real::R_PI_2() - adjust - ret * 2;
        else
            ret = adjust + ret * 2;
    }

    return ret;
}

template<> real asin(real const &x)
{
    return asinacos(x, 1, x.m_signexp >> 31);
}

template<> real acos(real const &x)
{
    return asinacos(x, 0, x.m_signexp >> 31);
}

template<> real atan(real const &x)
{
    /* Computing atan(x): we choose a different Taylor series depending on
     * the value of x to help with convergence.
     *
     * If |x| < 0.5 we evaluate atan(y) near 0:
     *  atan(y) = y - y^3/3 + y^5/5 - y^7/7 + y^9/9 ...
     *
     * If 0.5 <= |x| < 1.5 we evaluate atan(1+y) near 0:
     *  atan(1+y) = π/4 + y/(1*2^1) - y^2/(2*2^1) + y^3/(3*2^2)
     *                  - y^5/(5*2^3) + y^6/(6*2^3) - y^7/(7*2^4)
     *                  + y^9/(9*2^5) - y^10/(10*2^5) + y^11/(11*2^6) ...
     *
     * If 1.5 <= |x| < 2 we evaluate atan(sqrt(3)+2y) near 0:
     *  atan(sqrt(3)+2y) = π/3 + 1/2 y - sqrt(3)/2 y^2/2
     *                         + y^3/3 - sqrt(3)/2 y^4/4 + 1/2 y^5/5
     *                         - 1/2 y^7/7 + sqrt(3)/2 y^8/8
     *                         - y^9/9 + sqrt(3)/2 y^10/10 - 1/2 y^11/11
     *                         + 1/2 y^13/13 - sqrt(3)/2 y^14/14
     *                         + y^15/15 - sqrt(3)/2 y^16/16 + 1/2 y^17/17 ...
     *
     * If |x| >= 2 we evaluate atan(y) near +∞:
     *  atan(y) = π/2 - y^-1 + y^-3/3 - y^-5/5 + y^-7/7 - y^-9/9 ...
     */
    real absx = fabs(x);

    if (absx < (real::R_1() / 2))
    {
        real ret = x, xn = x, mx2 = -x * x;
        for (int i = 3; ; i += 2)
        {
            xn *= mx2;
            real newret = ret + xn / (real)i;
            if (newret == ret)
                break;
            ret = newret;
        }
        return ret;
    }

    real ret = 0;

    if (absx < (real::R_3() / 2))
    {
        real y = real::R_1() - absx;
        real yn = y, my2 = -y * y;
        for (int i = 0; ; i += 2)
        {
            real newret = ret + ldexp(yn / (real)(2 * i + 1), -i - 1);
            yn *= y;
            newret += ldexp(yn / (real)(2 * i + 2), -i - 1);
            yn *= y;
            newret += ldexp(yn / (real)(2 * i + 3), -i - 2);
            if (newret == ret)
                break;
            ret = newret;
            yn *= my2;
        }
        ret = real::R_PI_4() - ret;
    }
    else if (absx < real::R_2())
    {
        real y = (absx - real::R_SQRT3()) / 2;
        real yn = y, my2 = -y * y;
        for (int i = 1; ; i += 6)
        {
            real newret = ret + ((yn / (real)i) / 2);
            yn *= y;
            newret -= (real::R_SQRT3() / 2) * yn / (real)(i + 1);
            yn *= y;
            newret += yn / (real)(i + 2);
            yn *= y;
            newret -= (real::R_SQRT3() / 2) * yn / (real)(i + 3);
            yn *= y;
            newret += (yn / (real)(i + 4)) / 2;
            if (newret == ret)
                break;
            ret = newret;
            yn *= my2;
        }
        ret = real::R_PI_3() + ret;
    }
    else
    {
        real y = re(absx);
        real yn = y, my2 = -y * y;
        ret = y;
        for (int i = 3; ; i += 2)
        {
            yn *= my2;
            real newret = ret + yn / (real)i;
            if (newret == ret)
                break;
            ret = newret;
        }
        ret = real::R_PI_2() - ret;
    }

    /* Propagate sign */
    ret.m_signexp |= (x.m_signexp & 0x80000000u);
    return ret;
}

template<> real atan2(real const &y, real const &x)
{
    if (!y)
    {
        if ((x.m_signexp >> 31) == 0)
            return y;
        if (y.m_signexp >> 31)
            return -real::R_PI();
        return real::R_PI();
    }

    if (!x)
    {
        if (y.m_signexp >> 31)
            return -real::R_PI();
        return real::R_PI();
    }

    /* FIXME: handle the Inf and NaN cases */
    real z = y / x;
    real ret = atan(z);
    if (x < real::R_0())
        ret += (y > real::R_0()) ? real::R_PI() : -real::R_PI();
    return ret;
}

template<> void real::hexprint() const
{
    std::printf("%08x", m_signexp);
    for (int i = 0; i < BIGITS; i++)
        std::printf(" %08x", m_mantissa[i]);
    std::printf("\n");
}

template<> void real::sprintf(char *str, int ndigits) const;

template<> void real::print(int ndigits) const
{
    char *buf = new char[ndigits + 32 + 10];
    real::sprintf(buf, ndigits);
    std::printf("%s\n", buf);
    delete[] buf;
}

template<> void real::sprintf(char *str, int ndigits) const
{
    real x = *this;

    if (x.m_signexp >> 31)
    {
        *str++ = '-';
        x = -x;
    }

    if (!x)
    {
        std::strcpy(str, "0.0\n");
        return;
    }

    /* Normalise x so that mantissa is in [1..9.999] */
    /* FIXME: better use int64_t when the cast is implemented */
    int exponent = ceil(log10(x));
    x /= pow(R_10(), (real)exponent);

    if (x < R_1())
    {
        x *= R_10();
        exponent--;
    }

    /* Print digits */
    for (int i = 0; i < ndigits; i++)
    {
        int digit = (int)floor(x);
        *str++ = '0' + digit;
        if (i == 0)
            *str++ = '.';
        x -= real(digit);
        x *= R_10();
    }

    /* Print exponent information */
    if (exponent)
        str += std::sprintf(str, "e%c%i", exponent > 0 ? '+' : '-', -exponent);

    *str++ = '\0';
}

static real fast_pi()
{
    /* Approximate Pi using Machin's formula: 16*atan(1/5)-4*atan(1/239) */
    real ret = 0, x0 = 5, x1 = 239;
    real const m0 = -x0 * x0, m1 = -x1 * x1, r16 = 16, r4 = 4;

    for (int i = 1; ; i += 2)
    {
        real newret = ret + r16 / (x0 * (real)i) - r4 / (x1 * (real)i);
        if (newret == ret)
            break;
        ret = newret;
        x0 *= m0;
        x1 *= m1;
    }

    return ret;
}

} /* namespace lol */