#ifndef STAN_MATH_FWD_SCAL_FUN_BINOMIAL_COEFFICIENT_LOG_HPP
#define STAN_MATH_FWD_SCAL_FUN_BINOMIAL_COEFFICIENT_LOG_HPP

#include <stan/math/fwd/core.hpp>

#include <boost/math/special_functions/digamma.hpp>
#include <stan/math/prim/scal/fun/binomial_coefficient_log.hpp>

namespace stan {

  namespace math {

    template <typename T>
    inline
    fvar<T>
    binomial_coefficient_log(const fvar<T>& x1, const fvar<T>& x2) {
      using boost::math::digamma;
      using std::log;
      using stan::math::binomial_coefficient_log;
      const double cutoff = 1000;
      if ((x1.val_ < cutoff) || (x1.val_ - x2.val_ < cutoff)) {
        return fvar<T>(binomial_coefficient_log(x1.val_, x2.val_),
                       x1.d_ * digamma(x1.val_ + 1)
                       - x2.d_ * digamma(x2.val_ + 1)
                       - (x1.d_ - x2.d_) * digamma(x1.val_ - x2.val_ + 1));
      } else {
        return fvar<T>(binomial_coefficient_log(x1.val_, x2.val_),
                       x2.d_ * log(x1.val_ - x2.val_)
                       + x2.val_ * (x1.d_ - x2.d_) / (x1.val_ - x2.val_)
                       + x1.d_ * log(x1.val_ / (x1.val_ - x2.val_))
                       + (x1.val_ + 0.5) / (x1.val_ / (x1.val_ - x2.val_))
                       * (x1.d_ * (x1.val_ - x2.val_)
                          - (x1.d_ - x2.d_) * x1.val_)
                       / ((x1.val_ - x2.val_) * (x1.val_ - x2.val_))
                       - x1.d_ / (12.0 * x1.val_ * x1.val_)
                       - x2.d_
                       + (x1.d_ - x2.d_) / (12.0 * (x1.val_ - x2.val_)
                                            * (x1.val_ - x2.val_))
                       - digamma(x2.val_ + 1) * x2.d_);
      }
    }

    template <typename T>
    inline
    fvar<T>
    binomial_coefficient_log(const fvar<T>& x1, const double x2) {
      using boost::math::digamma;
      using std::log;
      using stan::math::binomial_coefficient_log;
      const double cutoff = 1000;
      if ((x1.val_ < cutoff) || (x1.val_ - x2 < cutoff)) {
        return fvar<T>(binomial_coefficient_log(x1.val_, x2),
                       x1.d_ * digamma(x1.val_ + 1)
                       - x1.d_ * digamma(x1.val_ - x2 + 1));
      } else {
        return fvar<T>(binomial_coefficient_log(x1.val_, x2),
                       x2 * x1.d_ / (x1.val_ - x2)
                       + x1.d_ * log(x1.val_ / (x1.val_ - x2))
                       + (x1.val_ + 0.5) / (x1.val_ / (x1.val_ - x2))
                       * (x1.d_ * (x1.val_ - x2) - x1.d_ * x1.val_)
                       / ((x1.val_ - x2) * (x1.val_ - x2))
                       - x1.d_ / (12.0 * x1.val_ * x1.val_)
                       + x1.d_ / (12.0 * (x1.val_ - x2) * (x1.val_ - x2)));
      }
    }

    template <typename T>
    inline
    fvar<T>
    binomial_coefficient_log(const double x1, const fvar<T>& x2) {
      using boost::math::digamma;
      using std::log;
      using stan::math::binomial_coefficient_log;
      const double cutoff = 1000;
      if ((x1 < cutoff) || (x1 - x2.val_ < cutoff)) {
        return fvar<T>(binomial_coefficient_log(x1, x2.val_),
                       -x2.d_ * digamma(x2.val_ + 1)
                       - x2.d_ * digamma(x1 - x2.val_ + 1));
      } else {
        return fvar<T>(binomial_coefficient_log(x1, x2.val_),
                       x2.d_ * log(x1 - x2.val_)
                       + x2.val_ * -x2.d_ / (x1 - x2.val_)
                       - x2.d_
                       - x2.d_ / (12.0 * (x1 - x2.val_) * (x1 - x2.val_))
                       + x2.d_ * (x1 + 0.5) / (x1 - x2.val_)
                       - digamma(x2.val_ + 1) * x2.d_);
      }
    }
  }
}
#endif
