// *****************************************************************************
// * This file is part of the FreeFileSync project. It is distributed under    *
// * GNU General Public License: https://www.gnu.org/licenses/gpl-3.0          *
// * Copyright (C) Zenju (zenju AT freefilesync DOT org) - All Rights Reserved *
// *****************************************************************************

#ifndef BASIC_MATH_H_3472639843265675
#define BASIC_MATH_H_3472639843265675

#include <algorithm>
#include <iterator>
#include <limits>
#include <cmath>
#include <functional>
#include <cassert>
#include "type_traits.h"


namespace numeric
{
template <class T> T abs(T value);
template <class T> auto dist(T a, T b);
template <class T> int sign(T value); //returns one of {-1, 0, 1}
template <class T> T min(T a, T b, T c);
template <class T> T max(T a, T b, T c);
template <class T> bool isNull(T value);

template <class T> void clamp(T& val, T minVal, T maxVal); //make sure minVal <= val && val <= maxVal
template <class T> T  clampCpy(T val, T minVal, T maxVal);
//std::clamp() available with C++17

template <class T, class InputIterator> //precondition: range must be sorted!
auto nearMatch(const T& val, InputIterator first, InputIterator last);

int64_t round(double d); //"little rounding function"

template <class N, class D>
auto integerDivideRoundUp(N numerator, D denominator);

template <size_t N, class T>
T power(T value);

double radToDeg(double rad);    //convert unit [rad] into [°]
double degToRad(double degree); //convert unit [°] into [rad]

template <class InputIterator>
double arithmeticMean(InputIterator first, InputIterator last);

template <class RandomAccessIterator>
double median(RandomAccessIterator first, RandomAccessIterator last); //note: invalidates input range!

template <class InputIterator>
double stdDeviation(InputIterator first, InputIterator last, double* mean = nullptr); //estimate standard deviation (and thereby arithmetic mean)

//median absolute deviation: "mad / 0.6745" is a robust measure for standard deviation of a normal distribution
template <class RandomAccessIterator>
double mad(RandomAccessIterator first, RandomAccessIterator last); //note: invalidates input range!

template <class InputIterator>
double norm2(InputIterator first, InputIterator last);

//constants
const double pi    = 3.14159265358979323846;
const double e     = 2.71828182845904523536;
const double sqrt2 = 1.41421356237309504880;
const double ln2   = 0.693147180559945309417;

//static_assert(pi + e + sqrt2 + ln2 == 7.9672352249818781, "whoopsie");

//----------------------------------------------------------------------------------













//################# inline implementation #########################
template <class T> inline
T abs(T value)
{
    //static_assert(std::is_signed_v<T>);
    if (value < 0)
        return -value; //operator "?:" caveat: may be different type than "value"
    else
        return value;
}

template <class T> inline
auto dist(T a, T b) //return type might be different than T, e.g. std::chrono::duration instead of std::chrono::time_point
{
    return a > b ? a - b : b - a;
}


template <class T> inline
int sign(T value) //returns one of {-1, 0, 1}
{
    static_assert(std::is_signed_v<T>);
    return value < 0 ? -1 : (value > 0 ? 1 : 0);
}


template <class T> inline
T min(T a, T b, T c) //don't follow std::min's "const T&(const T&, const T&)" API
{
    if (a < b)
        return a < c ? a : c;
    else
        return b < c ? b : c;
    //return std::min(std::min(a, b), c);
}


template <class T> inline
T max(T a, T b, T c)
{
    if (a > b)
        return a > c ? a : c;
    else
        return b > c ? b : c;
    //return std::max(std::max(a, b), c);
}


template <class T> inline
T clampCpy(T val, T minVal, T maxVal)
{
    assert(minVal <= maxVal);
    if (val < minVal)
        return minVal;
    else if (val > maxVal)
        return maxVal;
    return val;
}

template <class T> inline
void clamp(T& val, T minVal, T maxVal)
{
    assert(minVal <= maxVal);
    if (val < minVal)
        val = minVal;
    else if (val > maxVal)
        val = maxVal;
}


/*
part of C++11 now!
template <class InputIterator, class Compare> inline
std::pair<InputIterator, InputIterator> minMaxElement(InputIterator first, InputIterator last, Compare compLess)
{
    //by factor 1.5 to 3 faster than boost::minmax_element (=two-step algorithm) for built-in types!

    InputIterator lowest  = first;
    InputIterator largest = first;

    if (first != last)
    {
        auto minVal = *lowest;  //nice speedup on 64 bit!
        auto maxVal = *largest; //
        for (;;)
        {
            ++first;
            if (first == last)
                break;
            const auto val = *first;

            if (compLess(maxVal, val))
            {
                largest = first;
                maxVal  = val;
            }
            else if (compLess(val, minVal))
            {
                lowest = first;
                minVal = val;
            }
        }
    }
    return { lowest, largest };
}


template <class InputIterator> inline
std::pair<InputIterator, InputIterator> minMaxElement(InputIterator first, InputIterator last)
{
    return minMaxElement(first, last, std::less<typename std::iterator_traits<InputIterator>::value_type>());
}
*/

template <class T, class InputIterator> inline
auto nearMatch(const T& val, InputIterator first, InputIterator last)
{
    if (first == last)
        return static_cast<decltype(*first)>(0);

    assert(std::is_sorted(first, last));
    InputIterator it = std::lower_bound(first, last, val);
    if (it == last)
        return *--last;
    if (it == first)
        return *first;

    const auto nextVal = *it;
    const auto prevVal = *--it;
    return val - prevVal < nextVal - val ? prevVal : nextVal;
}


template <class T> inline
bool isNull(T value)
{
    return abs(value) <= std::numeric_limits<T>::epsilon(); //epsilon is 0 für integral types => less-equal
}


inline
int64_t round(double d)
{
    assert(d - 0.5 >= std::numeric_limits<int64_t>::min() && //if double is larger than what int can represent:
           d + 0.5 <= std::numeric_limits<int64_t>::max());  //=> undefined behavior!
    return static_cast<int64_t>(d < 0 ? d - 0.5 : d + 0.5);
}


template <class N, class D> inline
auto integerDivideRoundUp(N numerator, D denominator)
{
    static_assert(zen::IsInteger<N>::value);
    static_assert(zen::IsInteger<D>::value);
    assert(numerator > 0 && denominator > 0);
    return (numerator + denominator - 1) / denominator;
}


namespace
{
template <size_t N, class T> struct PowerImpl;
/*
    template <size_t N, class T> -> let's use non-recursive specializations to help the compiler
    struct PowerImpl { static T result(const T& value) { return PowerImpl<N - 1, T>::result(value) * value; } };
*/
template <class T> struct PowerImpl<2, T> { static T result(T value) { return value * value; } };
template <class T> struct PowerImpl<3, T> { static T result(T value) { return value * value * value; } };
}

template <size_t n, class T> inline
T power(T value)
{
    return PowerImpl<n, T>::result(value);
}


inline
double radToDeg(double rad)
{
    return rad * 180.0 / numeric::pi;
}


inline
double degToRad(double degree)
{
    return degree * numeric::pi / 180.0;
}


template <class InputIterator> inline
double arithmeticMean(InputIterator first, InputIterator last)
{
    size_t n      = 0; //avoid random-access requirement for iterator!
    double sum_xi = 0;

    for (; first != last; ++first, ++n)
        sum_xi += *first;

    return n == 0 ? 0 : sum_xi / n;
}


template <class RandomAccessIterator> inline
double median(RandomAccessIterator first, RandomAccessIterator last) //note: invalidates input range!
{
    const size_t n = last - first;
    if (n == 0)
        return 0;

    std::nth_element(first, first + n / 2, last); //complexity: O(n)
    const double midVal = *(first + n / 2);

    if (n % 2 != 0)
        return midVal;
    else //n is even and >= 2 in this context: return mean of two middle values
        return 0.5 * (*std::max_element(first, first + n / 2) + midVal); //this operation is the reason why median() CANNOT support a comparison predicate!!!
}


template <class RandomAccessIterator> inline
double mad(RandomAccessIterator first, RandomAccessIterator last) //note: invalidates input range!
{
    //http://en.wikipedia.org/wiki/Median_absolute_deviation
    const size_t n = last - first;
    if (n == 0)
        return 0;

    const double m = median(first, last);

    //the second median needs to operate on absolute residuals => avoid transforming input range which may have less than double precision!
    auto lessMedAbs = [m](double lhs, double rhs) { return abs(lhs - m) < abs(rhs - m); };

    std::nth_element(first, first + n / 2, last, lessMedAbs); //complexity: O(n)
    const double midVal = abs(*(first + n / 2) - m);

    if (n % 2 != 0)
        return midVal;
    else //n is even and >= 2 in this context: return mean of two middle values
        return 0.5 * (abs(*std::max_element(first, first + n / 2, lessMedAbs) - m) + midVal);
}


template <class InputIterator> inline
double stdDeviation(InputIterator first, InputIterator last, double* arithMean)
{
    //implementation minimizing rounding errors, see: http://en.wikipedia.org/wiki/Standard_deviation
    //combined with technique avoiding overflow, see: http://www.netlib.org/blas/dnrm2.f -> only 10% performance degradation

    size_t n     = 0;
    double mean  = 0;
    double q     = 0;
    double scale = 1;

    for (; first != last; ++first)
    {
        ++n;
        const double val = *first - mean;

        if (abs(val) > scale)
        {
            q = (n - 1.0) / n + q * power<2>(scale / val);
            scale = abs(val);
        }
        else
            q += (n - 1.0) * power<2>(val / scale) / n;

        mean += val / n;
    }

    if (arithMean)
        *arithMean = mean;

    return n <= 1 ? 0 : std::sqrt(q / (n - 1)) * scale;
}


template <class InputIterator> inline
double norm2(InputIterator first, InputIterator last)
{
    double result = 0;
    double scale  = 1;
    for (; first != last; ++first)
    {
        const double tmp = abs(*first);
        if (tmp > scale)
        {
            result = 1 + result * power<2>(scale / tmp);
            scale = tmp;
        }
        else
            result += power<2>(tmp / scale);
    }
    return std::sqrt(result) * scale;
}
}

#endif //BASIC_MATH_H_3472639843265675