#ifndef STAN_MATH_PRIM_SCAL_PROB_DOUBLE_EXPONENTIAL_LPDF_HPP
#define STAN_MATH_PRIM_SCAL_PROB_DOUBLE_EXPONENTIAL_LPDF_HPP

#include <stan/math/prim/scal/meta/is_constant_struct.hpp>
#include <stan/math/prim/scal/meta/partials_return_type.hpp>
#include <stan/math/prim/scal/meta/operands_and_partials.hpp>
#include <stan/math/prim/scal/err/check_consistent_sizes.hpp>
#include <stan/math/prim/scal/err/check_finite.hpp>
#include <stan/math/prim/scal/err/check_not_nan.hpp>
#include <stan/math/prim/scal/err/check_positive_finite.hpp>
#include <stan/math/prim/scal/fun/value_of.hpp>
#include <stan/math/prim/scal/fun/log1m.hpp>
#include <stan/math/prim/scal/meta/contains_nonconstant_struct.hpp>
#include <stan/math/prim/scal/meta/VectorBuilder.hpp>
#include <stan/math/prim/scal/fun/constants.hpp>
#include <stan/math/prim/scal/meta/include_summand.hpp>
#include <stan/math/prim/scal/meta/scalar_seq_view.hpp>
#include <stan/math/prim/scal/fun/sign.hpp>
#include <boost/random/uniform_01.hpp>
#include <boost/random/variate_generator.hpp>
#include <cmath>
#include <string>

namespace stan {
  namespace math {

    /**
     * Returns the double exponential log probability density function. Given
     * containers of matching sizes, returns the log sum of densities.
     *
     * @tparam T_y type of real parameter.
     * @tparam T_loc type of location parameter.
     * @tparam T_scale type of scale parameter.
     * @param y real parameter
     * @param mu location parameter
     * @param sigma scale parameter
     * @return log probability density or log sum of probability densities
     * @throw std::domain_error if y is nan, mu is infinite, or sigma is nonpositive
     * @throw std::invalid_argument if container sizes mismatch
     */
    template <bool propto,
              typename T_y, typename T_loc, typename T_scale>
    typename return_type<T_y, T_loc, T_scale>::type
    double_exponential_lpdf(const T_y& y,
                           const T_loc& mu, const T_scale& sigma) {
      static const std::string function = "double_exponential_lpdf";
      typedef typename stan::partials_return_type<T_y, T_loc, T_scale>::type
        T_partials_return;

      using stan::is_constant_struct;
      using std::log;
      using std::fabs;
      using std::log;

      if (!(stan::length(y) && stan::length(mu) && stan::length(sigma)))
        return 0.0;

      T_partials_return logp(0.0);
      check_finite(function, "Random variable", y);
      check_finite(function, "Location parameter", mu);
      check_positive_finite(function, "Scale parameter", sigma);
      check_consistent_sizes(function,
                             "Random variable", y,
                             "Location parameter", mu,
                             "Shape parameter", sigma);

      if (!include_summand<propto, T_y, T_loc, T_scale>::value)
        return 0.0;

      scalar_seq_view<T_y> y_vec(y);
      scalar_seq_view<T_loc> mu_vec(mu);
      scalar_seq_view<T_scale> sigma_vec(sigma);
      size_t N = max_size(y, mu, sigma);
      operands_and_partials<T_y, T_loc, T_scale>
        ops_partials(y, mu, sigma);

      VectorBuilder<include_summand<propto, T_y, T_loc, T_scale>::value,
                    T_partials_return, T_scale> inv_sigma(length(sigma));
      VectorBuilder<!is_constant_struct<T_scale>::value,
                    T_partials_return, T_scale>
        inv_sigma_squared(length(sigma));
      VectorBuilder<include_summand<propto, T_scale>::value,
                    T_partials_return, T_scale> log_sigma(length(sigma));
      for (size_t i = 0; i < length(sigma); i++) {
        const T_partials_return sigma_dbl = value_of(sigma_vec[i]);
        if (include_summand<propto, T_y, T_loc, T_scale>::value)
          inv_sigma[i] = 1.0 / sigma_dbl;
        if (include_summand<propto, T_scale>::value)
          log_sigma[i] = log(value_of(sigma_vec[i]));
        if (!is_constant_struct<T_scale>::value)
          inv_sigma_squared[i] = inv_sigma[i] * inv_sigma[i];
      }

      for (size_t n = 0; n < N; n++) {
        const T_partials_return y_dbl = value_of(y_vec[n]);
        const T_partials_return mu_dbl = value_of(mu_vec[n]);

        const T_partials_return y_m_mu = y_dbl - mu_dbl;
        const T_partials_return fabs_y_m_mu = fabs(y_m_mu);

        if (include_summand<propto>::value)
          logp += NEG_LOG_TWO;
        if (include_summand<propto, T_scale>::value)
          logp -= log_sigma[n];
        if (include_summand<propto, T_y, T_loc, T_scale>::value)
          logp -= fabs_y_m_mu * inv_sigma[n];

        T_partials_return sign_y_m_mu_times_inv_sigma(0);
        if (contains_nonconstant_struct<T_y, T_loc>::value)
          sign_y_m_mu_times_inv_sigma = sign(y_m_mu) * inv_sigma[n];
        if (!is_constant_struct<T_y>::value) {
          ops_partials.edge1_.partials_[n] -= sign_y_m_mu_times_inv_sigma;
        }
        if (!is_constant_struct<T_loc>::value) {
          ops_partials.edge2_.partials_[n] += sign_y_m_mu_times_inv_sigma;
        }
        if (!is_constant_struct<T_scale>::value)
          ops_partials.edge3_.partials_[n] += -inv_sigma[n] + fabs_y_m_mu
            * inv_sigma_squared[n];
      }
      return ops_partials.build(logp);
    }

    template <typename T_y, typename T_loc, typename T_scale>
    typename return_type<T_y, T_loc, T_scale>::type
    double_exponential_lpdf(const T_y& y, const T_loc& mu,
                           const T_scale& sigma) {
      return double_exponential_lpdf<false>(y, mu, sigma);
    }

  }
}
#endif
