// Copyright Christopher Kormanyos 2002 - 2011.
// Copyright 2011 John Maddock. Distributed under the Boost
// Distributed under the Boost Software License, Version 1.0.
//    (See accompanying file LICENSE_1_0.txt or copy at
//          http://www.boost.org/LICENSE_1_0.txt)

// This work is based on an earlier work:
// "Algorithm 910: A Portable C++ Multiple-Precision System for Special-Function Calculations",
// in ACM TOMS, {VOL 37, ISSUE 4, (February 2011)} (C) ACM, 2011. http://doi.acm.org/10.1145/1916461.1916469
//
// This file has no include guards or namespaces - it's expanded inline inside default_ops.hpp
// 

#ifdef BOOST_MSVC
#pragma warning(push)
#pragma warning(disable:6326)  // comparison of two constants
#endif

template <class T>
void hyp0F1(T& result, const T& b, const T& x)
{
   typedef typename boost::multiprecision::detail::canonical<boost::int32_t, T>::type si_type;
   typedef typename boost::multiprecision::detail::canonical<boost::uint32_t, T>::type ui_type;

   // Compute the series representation of Hypergeometric0F1 taken from
   // http://functions.wolfram.com/HypergeometricFunctions/Hypergeometric0F1/06/01/01/
   // There are no checks on input range or parameter boundaries.

   T x_pow_n_div_n_fact(x);
   T pochham_b         (b);
   T bp                (b);

   eval_divide(result, x_pow_n_div_n_fact, pochham_b);
   eval_add(result, ui_type(1));

   si_type n;

   T tol;
   tol = ui_type(1);
   eval_ldexp(tol, tol, 1 - boost::multiprecision::detail::digits2<number<T, et_on> >::value());
   eval_multiply(tol, result);
   if(eval_get_sign(tol) < 0)
      tol.negate();
   T term;

   const int series_limit = 
      boost::multiprecision::detail::digits2<number<T, et_on> >::value() < 100
      ? 100 : boost::multiprecision::detail::digits2<number<T, et_on> >::value();
   // Series expansion of hyperg_0f1(; b; x).
   for(n = 2; n < series_limit; ++n)
   {
      eval_multiply(x_pow_n_div_n_fact, x);
      eval_divide(x_pow_n_div_n_fact, n);
      eval_increment(bp);
      eval_multiply(pochham_b, bp);

      eval_divide(term, x_pow_n_div_n_fact, pochham_b);
      eval_add(result, term);

      bool neg_term = eval_get_sign(term) < 0;
      if(neg_term)
         term.negate();
      if(term.compare(tol) <= 0)
         break;
   }

   if(n >= series_limit)
      BOOST_THROW_EXCEPTION(std::runtime_error("H0F1 Failed to Converge"));
}


template <class T>
void eval_sin(T& result, const T& x)
{
   BOOST_STATIC_ASSERT_MSG(number_category<T>::value == number_kind_floating_point, "The sin function is only valid for floating point types.");
   if(&result == &x)
   {
      T temp;
      eval_sin(temp, x);
      result = temp;
      return;
   }

   typedef typename boost::multiprecision::detail::canonical<boost::int32_t, T>::type si_type;
   typedef typename boost::multiprecision::detail::canonical<boost::uint32_t, T>::type ui_type;
   typedef typename mpl::front<typename T::float_types>::type fp_type;

   switch(eval_fpclassify(x))
   {
   case FP_INFINITE:
   case FP_NAN:
      if(std::numeric_limits<number<T, et_on> >::has_quiet_NaN)
         result = std::numeric_limits<number<T, et_on> >::quiet_NaN().backend();
      else
         BOOST_THROW_EXCEPTION(std::domain_error("Result is undefined or complex and there is no NaN for this number type."));
      return;
   case FP_ZERO:
      result = ui_type(0);
      return;
   default: ;
   }

   // Local copy of the argument
   T xx = x;

   // Analyze and prepare the phase of the argument.
   // Make a local, positive copy of the argument, xx.
   // The argument xx will be reduced to 0 <= xx <= pi/2.
   bool b_negate_sin = false;

   if(eval_get_sign(x) < 0)
   {
      xx.negate();
      b_negate_sin = !b_negate_sin;
   }

   T n_pi, t;
   // Remove even multiples of pi.
   if(xx.compare(get_constant_pi<T>()) > 0)
   {
      eval_divide(n_pi, xx, get_constant_pi<T>());
      eval_trunc(n_pi, n_pi);
      t = ui_type(2);
      eval_fmod(t, n_pi, t);
      const bool b_n_pi_is_even = eval_get_sign(t) == 0;
      eval_multiply(n_pi, get_constant_pi<T>());
      eval_subtract(xx, n_pi);

      BOOST_MATH_INSTRUMENT_CODE(xx.str(0, std::ios_base::scientific));
      BOOST_MATH_INSTRUMENT_CODE(n_pi.str(0, std::ios_base::scientific));

      // Adjust signs if the multiple of pi is not even.
      if(!b_n_pi_is_even)
      {
         b_negate_sin = !b_negate_sin;
      }
   }

   // Reduce the argument to 0 <= xx <= pi/2.
   eval_ldexp(t, get_constant_pi<T>(), -1);
   if(xx.compare(t) > 0)
   {
      eval_subtract(xx, get_constant_pi<T>(), xx);
      BOOST_MATH_INSTRUMENT_CODE(xx.str(0, std::ios_base::scientific));
   }

   eval_subtract(t, xx);
   const bool b_zero    = eval_get_sign(xx) == 0;
   const bool b_pi_half = eval_get_sign(t) == 0;

   // Check if the reduced argument is very close to 0 or pi/2.
   const bool    b_near_zero    = xx.compare(fp_type(1e-1)) < 0;
   const bool    b_near_pi_half = t.compare(fp_type(1e-1)) < 0;;

   if(b_zero)
   {
      result = ui_type(0);
   }
   else if(b_pi_half)
   {
      result = ui_type(1);
   }
   else if(b_near_zero)
   {
      eval_multiply(t, xx, xx);
      eval_divide(t, si_type(-4));
      T t2;
      t2 = fp_type(1.5);
      hyp0F1(result, t2, t);
      BOOST_MATH_INSTRUMENT_CODE(result.str(0, std::ios_base::scientific));
      eval_multiply(result, xx);
   }
   else if(b_near_pi_half)
   {
      eval_multiply(t, t);
      eval_divide(t, si_type(-4));
      T t2;
      t2 = fp_type(0.5);
      hyp0F1(result, t2, t);
      BOOST_MATH_INSTRUMENT_CODE(result.str(0, std::ios_base::scientific));
   }
   else
   {
      // Scale to a small argument for an efficient Taylor series,
      // implemented as a hypergeometric function. Use a standard
      // divide by three identity a certain number of times.
      // Here we use division by 3^9 --> (19683 = 3^9).

      static const si_type n_scale = 9;
      static const si_type n_three_pow_scale = static_cast<si_type>(19683L);

      eval_divide(xx, n_three_pow_scale);

      // Now with small arguments, we are ready for a series expansion.
      eval_multiply(t, xx, xx);
      eval_divide(t, si_type(-4));
      T t2;
      t2 = fp_type(1.5);
      hyp0F1(result, t2, t);
      BOOST_MATH_INSTRUMENT_CODE(result.str(0, std::ios_base::scientific));
      eval_multiply(result, xx);

      // Convert back using multiple angle identity.
      for(boost::int32_t k = static_cast<boost::int32_t>(0); k < n_scale; k++)
      {
         // Rescale the cosine value using the multiple angle identity.
         eval_multiply(t2, result, ui_type(3));
         eval_multiply(t, result, result);
         eval_multiply(t, result);
         eval_multiply(t, ui_type(4));
         eval_subtract(result, t2, t);
      }
   }

   if(b_negate_sin)
      result.negate();
}

template <class T>
void eval_cos(T& result, const T& x)
{
   BOOST_STATIC_ASSERT_MSG(number_category<T>::value == number_kind_floating_point, "The cos function is only valid for floating point types.");
   if(&result == &x)
   {
      T temp;
      eval_cos(temp, x);
      result = temp;
      return;
   }

   typedef typename boost::multiprecision::detail::canonical<boost::int32_t, T>::type si_type;
   typedef typename boost::multiprecision::detail::canonical<boost::uint32_t, T>::type ui_type;
   typedef typename mpl::front<typename T::float_types>::type fp_type;

   switch(eval_fpclassify(x))
   {
   case FP_INFINITE:
   case FP_NAN:
      if(std::numeric_limits<number<T, et_on> >::has_quiet_NaN)
         result = std::numeric_limits<number<T, et_on> >::quiet_NaN().backend();
      else
         BOOST_THROW_EXCEPTION(std::domain_error("Result is undefined or complex and there is no NaN for this number type."));
      return;
   case FP_ZERO:
      result = ui_type(1);
      return;
   default: ;
   }

   // Local copy of the argument
   T xx = x;

   // Analyze and prepare the phase of the argument.
   // Make a local, positive copy of the argument, xx.
   // The argument xx will be reduced to 0 <= xx <= pi/2.
   bool b_negate_cos = false;

   if(eval_get_sign(x) < 0)
   {
      xx.negate();
   }

   T n_pi, t;
   // Remove even multiples of pi.
   if(xx.compare(get_constant_pi<T>()) > 0)
   {
      eval_divide(t, xx, get_constant_pi<T>());
      eval_trunc(n_pi, t);
      BOOST_MATH_INSTRUMENT_CODE(n_pi.str(0, std::ios_base::scientific));
      eval_multiply(t, n_pi, get_constant_pi<T>());
      BOOST_MATH_INSTRUMENT_CODE(t.str(0, std::ios_base::scientific));
      eval_subtract(xx, t);
      BOOST_MATH_INSTRUMENT_CODE(xx.str(0, std::ios_base::scientific));

      // Adjust signs if the multiple of pi is not even.
      t = ui_type(2);
      eval_fmod(t, n_pi, t);
      const bool b_n_pi_is_even = eval_get_sign(t) == 0;

      if(!b_n_pi_is_even)
      {
         b_negate_cos = !b_negate_cos;
      }
   }

   // Reduce the argument to 0 <= xx <= pi/2.
   eval_ldexp(t, get_constant_pi<T>(), -1);
   int com = xx.compare(t);
   if(com > 0)
   {
      eval_subtract(xx, get_constant_pi<T>(), xx);
      b_negate_cos = !b_negate_cos;
      BOOST_MATH_INSTRUMENT_CODE(xx.str(0, std::ios_base::scientific));
   }

   const bool b_zero    = eval_get_sign(xx) == 0;
   const bool b_pi_half = com == 0;

   // Check if the reduced argument is very close to 0.
   const bool    b_near_zero    = xx.compare(fp_type(1e-1)) < 0;

   if(b_zero)
   {
      result = si_type(1);
   }
   else if(b_pi_half)
   {
      result = si_type(0);
   }
   else if(b_near_zero)
   {
      eval_multiply(t, xx, xx);
      eval_divide(t, si_type(-4));
      n_pi = fp_type(0.5f);
      hyp0F1(result, n_pi, t);
      BOOST_MATH_INSTRUMENT_CODE(result.str(0, std::ios_base::scientific));
   }
   else
   {
      eval_subtract(t, xx);
      eval_sin(result, t);
   }
   if(b_negate_cos)
      result.negate();
}

template <class T>
void eval_tan(T& result, const T& x)
{
   BOOST_STATIC_ASSERT_MSG(number_category<T>::value == number_kind_floating_point, "The tan function is only valid for floating point types.");
   if(&result == &x)
   {
      T temp;
      eval_tan(temp, x);
      result = temp;
      return;
   }
   T t;
   eval_sin(result, x);
   eval_cos(t, x);
   eval_divide(result, t);
}

template <class T>
void hyp2F1(T& result, const T& a, const T& b, const T& c, const T& x)
{
  // Compute the series representation of hyperg_2f1 taken from
  // Abramowitz and Stegun 15.1.1.
  // There are no checks on input range or parameter boundaries.

   typedef typename boost::multiprecision::detail::canonical<boost::uint32_t, T>::type ui_type;

   T x_pow_n_div_n_fact(x);
   T pochham_a         (a);
   T pochham_b         (b);
   T pochham_c         (c);
   T ap                (a);
   T bp                (b);
   T cp                (c);

   eval_multiply(result, pochham_a, pochham_b);
   eval_divide(result, pochham_c);
   eval_multiply(result, x_pow_n_div_n_fact);
   eval_add(result, ui_type(1));

   T lim;
   eval_ldexp(lim, result, 1 - boost::multiprecision::detail::digits2<number<T, et_on> >::value());

   if(eval_get_sign(lim) < 0)
      lim.negate();

   ui_type n;
   T term;

   const unsigned series_limit = 
      boost::multiprecision::detail::digits2<number<T, et_on> >::value() < 100
      ? 100 : boost::multiprecision::detail::digits2<number<T, et_on> >::value();
   // Series expansion of hyperg_2f1(a, b; c; x).
   for(n = 2; n < series_limit; ++n)
   {
      eval_multiply(x_pow_n_div_n_fact, x);
      eval_divide(x_pow_n_div_n_fact, n);

      eval_increment(ap);
      eval_multiply(pochham_a, ap);
      eval_increment(bp);
      eval_multiply(pochham_b, bp);
      eval_increment(cp);
      eval_multiply(pochham_c, cp);

      eval_multiply(term, pochham_a, pochham_b);
      eval_divide(term, pochham_c);
      eval_multiply(term, x_pow_n_div_n_fact);
      eval_add(result, term);

      if(eval_get_sign(term) < 0)
         term.negate();
      if(lim.compare(term) >= 0)
         break;
   }
   if(n > series_limit)
      BOOST_THROW_EXCEPTION(std::runtime_error("H2F1 failed to converge."));
}

template <class T>
void eval_asin(T& result, const T& x)
{
   BOOST_STATIC_ASSERT_MSG(number_category<T>::value == number_kind_floating_point, "The asin function is only valid for floating point types.");
   typedef typename boost::multiprecision::detail::canonical<boost::uint32_t, T>::type ui_type;
   typedef typename mpl::front<typename T::float_types>::type fp_type;

   if(&result == &x)
   {
      T t(x);
      eval_asin(result, t);
      return;
   }

   switch(eval_fpclassify(x))
   {
   case FP_NAN:
   case FP_INFINITE:
      if(std::numeric_limits<number<T, et_on> >::has_quiet_NaN)
         result = std::numeric_limits<number<T, et_on> >::quiet_NaN().backend();
      else
         BOOST_THROW_EXCEPTION(std::domain_error("Result is undefined or complex and there is no NaN for this number type."));
      return;
   case FP_ZERO:
      result = ui_type(0);
      return;
   default: ;
   }

   const bool b_neg = eval_get_sign(x) < 0;

   T xx(x);
   if(b_neg)
      xx.negate();

   int c = xx.compare(ui_type(1));
   if(c > 0)
   {
      if(std::numeric_limits<number<T, et_on> >::has_quiet_NaN)
         result = std::numeric_limits<number<T, et_on> >::quiet_NaN().backend();
      else
         BOOST_THROW_EXCEPTION(std::domain_error("Result is undefined or complex and there is no NaN for this number type."));
      return;
   }
   else if(c == 0)
   {
      result = get_constant_pi<T>();
      eval_ldexp(result, result, -1);
      if(b_neg)
         result.negate();
      return;
   }

   if(xx.compare(fp_type(1e-4)) < 0)
   {
      // http://functions.wolfram.com/ElementaryFunctions/ArcSin/26/01/01/
      eval_multiply(xx, xx);
      T t1, t2;
      t1 = fp_type(0.5f);
      t2 = fp_type(1.5f);
      hyp2F1(result, t1, t1, t2, xx);
      eval_multiply(result, x);
      return;
   }
   else if(xx.compare(fp_type(1 - 1e-4f)) > 0)
   {
      T dx1;
      T t1, t2;
      eval_subtract(dx1, ui_type(1), xx);
      t1 = fp_type(0.5f);
      t2 = fp_type(1.5f);
      eval_ldexp(dx1, dx1, -1);
      hyp2F1(result, t1, t1, t2, dx1);
      eval_ldexp(dx1, dx1, 2);
      eval_sqrt(t1, dx1);
      eval_multiply(result, t1);
      eval_ldexp(t1, get_constant_pi<T>(), -1);
      result.negate();
      eval_add(result, t1);
      if(b_neg)
         result.negate();
      return;
   }
#ifndef BOOST_MATH_NO_LONG_DOUBLE_MATH_FUNCTIONS
   typedef typename boost::multiprecision::detail::canonical<long double, T>::type guess_type;
#else
   typedef fp_type guess_type;
#endif
   // Get initial estimate using standard math function asin.
   guess_type dd;
   eval_convert_to(&dd, xx);

   result = (guess_type)(std::asin(dd));

   // Newton-Raphson iteration, we should double our precision with each iteration, 
   // in practice this seems to not quite work in all cases... so terminate when we
   // have at least 2/3 of the digits correct on the assumption that the correction 
   // we've just added will finish the job...

   boost::intmax_t current_precision = eval_ilogb(result);
   boost::intmax_t target_precision = current_precision - 1 - (std::numeric_limits<number<T> >::digits * 2) / 3;

   // Newton-Raphson iteration
   while(current_precision > target_precision)
   {
      T sine, cosine;
      eval_sin(sine, result);
      eval_cos(cosine, result);
      eval_subtract(sine, xx);
      eval_divide(sine, cosine);
      eval_subtract(result, sine);
      current_precision = eval_ilogb(sine);
#ifdef FP_ILOGB0
      if(current_precision == FP_ILOGB0)
         break;
#endif
   }
   if(b_neg)
      result.negate();
}

template <class T>
inline void eval_acos(T& result, const T& x)
{
   BOOST_STATIC_ASSERT_MSG(number_category<T>::value == number_kind_floating_point, "The acos function is only valid for floating point types.");
   typedef typename boost::multiprecision::detail::canonical<boost::uint32_t, T>::type ui_type;

   switch(eval_fpclassify(x))
   {
   case FP_NAN:
   case FP_INFINITE:
      if(std::numeric_limits<number<T, et_on> >::has_quiet_NaN)
         result = std::numeric_limits<number<T, et_on> >::quiet_NaN().backend();
      else
         BOOST_THROW_EXCEPTION(std::domain_error("Result is undefined or complex and there is no NaN for this number type."));
      return;
   case FP_ZERO:
      result = get_constant_pi<T>();
      eval_ldexp(result, result, -1); // divide by two.
      return;
   }

   eval_abs(result, x);
   int c = result.compare(ui_type(1));

   if(c > 0)
   {
      if(std::numeric_limits<number<T, et_on> >::has_quiet_NaN)
         result = std::numeric_limits<number<T, et_on> >::quiet_NaN().backend();
      else
         BOOST_THROW_EXCEPTION(std::domain_error("Result is undefined or complex and there is no NaN for this number type."));
      return;
   }
   else if(c == 0)
   {
      if(eval_get_sign(x) < 0)
         result = get_constant_pi<T>();
      else
         result = ui_type(0);
      return;
   }

   eval_asin(result, x);
   T t;
   eval_ldexp(t, get_constant_pi<T>(), -1);
   eval_subtract(result, t);
   result.negate();
}

template <class T>
void eval_atan(T& result, const T& x)
{
   BOOST_STATIC_ASSERT_MSG(number_category<T>::value == number_kind_floating_point, "The atan function is only valid for floating point types.");
   typedef typename boost::multiprecision::detail::canonical<boost::int32_t, T>::type si_type;
   typedef typename boost::multiprecision::detail::canonical<boost::uint32_t, T>::type ui_type;
   typedef typename mpl::front<typename T::float_types>::type fp_type;

   switch(eval_fpclassify(x))
   {
   case FP_NAN:
      result = x;
      return;
   case FP_ZERO:
      result = ui_type(0);
      return;
   case FP_INFINITE:
      if(eval_get_sign(x) < 0)
      {
         eval_ldexp(result, get_constant_pi<T>(), -1);
         result.negate();
      }
      else
         eval_ldexp(result, get_constant_pi<T>(), -1);
      return;
   default: ;
   }

   const bool b_neg = eval_get_sign(x) < 0;

   T xx(x);
   if(b_neg)
      xx.negate();

   if(xx.compare(fp_type(0.1)) < 0)
   {
      T t1, t2, t3;
      t1 = ui_type(1);
      t2 = fp_type(0.5f);
      t3 = fp_type(1.5f);
      eval_multiply(xx, xx);
      xx.negate();
      hyp2F1(result, t1, t2, t3, xx);
      eval_multiply(result, x);
      return;
   }

   if(xx.compare(fp_type(10)) > 0)
   {
      T t1, t2, t3;
      t1 = fp_type(0.5f);
      t2 = ui_type(1u);
      t3 = fp_type(1.5f);
      eval_multiply(xx, xx);
      eval_divide(xx, si_type(-1), xx);
      hyp2F1(result, t1, t2, t3, xx);
      eval_divide(result, x);
      if(!b_neg)
         result.negate();
      eval_ldexp(t1, get_constant_pi<T>(), -1);
      eval_add(result, t1);
      if(b_neg)
         result.negate();
      return;
   }


   // Get initial estimate using standard math function atan.
   fp_type d;
   eval_convert_to(&d, xx);
   result = fp_type(std::atan(d));

   // Newton-Raphson iteration, we should double our precision with each iteration, 
   // in practice this seems to not quite work in all cases... so terminate when we
   // have at least 2/3 of the digits correct on the assumption that the correction 
   // we've just added will finish the job...

   boost::intmax_t current_precision = eval_ilogb(result);
   boost::intmax_t target_precision = current_precision - 1 - (std::numeric_limits<number<T> >::digits * 2) / 3;

   T s, c, t;
   while(current_precision > target_precision)
   {
      eval_sin(s, result);
      eval_cos(c, result);
      eval_multiply(t, xx, c);
      eval_subtract(t, s);
      eval_multiply(s, t, c);
      eval_add(result, s);
      current_precision = eval_ilogb(s);
#ifdef FP_ILOGB0
      if(current_precision == FP_ILOGB0)
         break;
#endif
   }
   if(b_neg)
      result.negate();
}

template <class T>
void eval_atan2(T& result, const T& y, const T& x)
{
   BOOST_STATIC_ASSERT_MSG(number_category<T>::value == number_kind_floating_point, "The atan2 function is only valid for floating point types.");
   if(&result == &y)
   {
      T temp(y);
      eval_atan2(result, temp, x);
      return;
   }
   else if(&result == &x)
   {
      T temp(x);
      eval_atan2(result, y, temp);
      return;
   }

   typedef typename boost::multiprecision::detail::canonical<boost::uint32_t, T>::type ui_type;

   switch(eval_fpclassify(y))
   {
   case FP_NAN:
      result = y;
      return;
   case FP_ZERO:
      {
         int c = eval_get_sign(x);
         if(c < 0)
            result = get_constant_pi<T>();
         else if(c >= 0)
            result = ui_type(0); // Note we allow atan2(0,0) to be zero, even though it's mathematically undefined
         return;
      }
   case FP_INFINITE:
      {
         if(eval_fpclassify(x) == FP_INFINITE)
         {
            if(std::numeric_limits<number<T, et_on> >::has_quiet_NaN)
               result = std::numeric_limits<number<T, et_on> >::quiet_NaN().backend();
            else
               BOOST_THROW_EXCEPTION(std::domain_error("Result is undefined or complex and there is no NaN for this number type."));
         }
         else
         {
            eval_ldexp(result, get_constant_pi<T>(), -1);
            if(eval_get_sign(y) < 0)
               result.negate();
         }
         return;
      }
   }

   switch(eval_fpclassify(x))
   {
   case FP_NAN:
      result = x;
      return;
   case FP_ZERO:
      {
         eval_ldexp(result, get_constant_pi<T>(), -1);
         if(eval_get_sign(y) < 0)
            result.negate();
         return;
      }
   case FP_INFINITE:
      if(eval_get_sign(x) > 0)
         result = ui_type(0);
      else
         result = get_constant_pi<T>();
      if(eval_get_sign(y) < 0)
         result.negate();
      return;
   }

   T xx;
   eval_divide(xx, y, x);
   if(eval_get_sign(xx) < 0)
      xx.negate();

   eval_atan(result, xx);

   // Determine quadrant (sign) based on signs of x, y
   const bool y_neg = eval_get_sign(y) < 0;
   const bool x_neg = eval_get_sign(x) < 0;

   if(y_neg != x_neg)
      result.negate();

   if(x_neg)
   {
      if(y_neg)
         eval_subtract(result, get_constant_pi<T>());
      else
         eval_add(result, get_constant_pi<T>());
   }
}
template<class T, class A> 
inline typename enable_if<is_arithmetic<A>, void>::type eval_atan2(T& result, const T& x, const A& a)
{
   typedef typename boost::multiprecision::detail::canonical<A, T>::type canonical_type;
   typedef typename mpl::if_<is_same<A, canonical_type>, T, canonical_type>::type cast_type;
   cast_type c;
   c = a;
   eval_atan2(result, x, c);
}

template<class T, class A> 
inline typename enable_if<is_arithmetic<A>, void>::type eval_atan2(T& result, const A& x, const T& a)
{
   typedef typename boost::multiprecision::detail::canonical<A, T>::type canonical_type;
   typedef typename mpl::if_<is_same<A, canonical_type>, T, canonical_type>::type cast_type;
   cast_type c;
   c = x;
   eval_atan2(result, c, a);
}

#ifdef BOOST_MSVC
#pragma warning(pop)
#endif