#ifndef STAN_MATH_PRIM_PROB_LOGNORMAL_LPDF_HPP
#define STAN_MATH_PRIM_PROB_LOGNORMAL_LPDF_HPP

#include <stan/math/prim/meta.hpp>
#include <stan/math/prim/err.hpp>
#include <stan/math/prim/fun/as_column_vector_or_scalar.hpp>
#include <stan/math/prim/fun/as_array_or_scalar.hpp>
#include <stan/math/prim/fun/constants.hpp>
#include <stan/math/prim/fun/inv.hpp>
#include <stan/math/prim/fun/log.hpp>
#include <stan/math/prim/fun/max_size.hpp>
#include <stan/math/prim/fun/promote_scalar.hpp>
#include <stan/math/prim/fun/size.hpp>
#include <stan/math/prim/fun/size_zero.hpp>
#include <stan/math/prim/fun/to_ref.hpp>
#include <stan/math/prim/fun/value_of.hpp>
#include <stan/math/prim/functor/operands_and_partials.hpp>
#include <cmath>

namespace stan {
namespace math {

// LogNormal(y|mu, sigma)  [y >= 0;  sigma > 0]
template <bool propto, typename T_y, typename T_loc, typename T_scale,
          require_all_not_nonscalar_prim_or_rev_kernel_expression_t<
              T_y, T_loc, T_scale>* = nullptr>
return_type_t<T_y, T_loc, T_scale> lognormal_lpdf(const T_y& y, const T_loc& mu,
                                                  const T_scale& sigma) {
  using T_partials_return = partials_return_t<T_y, T_loc, T_scale>;
  using T_y_ref = ref_type_if_t<!is_constant<T_y>::value, T_y>;
  using T_mu_ref = ref_type_if_t<!is_constant<T_loc>::value, T_loc>;
  using T_sigma_ref = ref_type_if_t<!is_constant<T_scale>::value, T_scale>;
  static const char* function = "lognormal_lpdf";
  check_consistent_sizes(function, "Random variable", y, "Location parameter",
                         mu, "Scale parameter", sigma);

  T_y_ref y_ref = y;
  T_mu_ref mu_ref = mu;
  T_sigma_ref sigma_ref = sigma;

  const auto& y_col = as_column_vector_or_scalar(y_ref);
  const auto& mu_col = as_column_vector_or_scalar(mu_ref);
  const auto& sigma_col = as_column_vector_or_scalar(sigma_ref);

  const auto& y_arr = as_array_or_scalar(y_col);
  const auto& mu_arr = as_array_or_scalar(mu_col);
  const auto& sigma_arr = as_array_or_scalar(sigma_col);

  ref_type_t<decltype(value_of(y_arr))> y_val = value_of(y_arr);
  ref_type_t<decltype(value_of(mu_arr))> mu_val = value_of(mu_arr);
  ref_type_t<decltype(value_of(sigma_arr))> sigma_val = value_of(sigma_arr);

  check_nonnegative(function, "Random variable", y_val);
  check_finite(function, "Location parameter", mu_val);
  check_positive_finite(function, "Scale parameter", sigma_val);

  if (size_zero(y, mu, sigma)) {
    return 0;
  }
  if (!include_summand<propto, T_y, T_loc, T_scale>::value) {
    return 0;
  }

  operands_and_partials<T_y_ref, T_mu_ref, T_sigma_ref> ops_partials(
      y_ref, mu_ref, sigma_ref);

  if (sum(promote_scalar<int>(y_val == 0))) {
    return ops_partials.build(LOG_ZERO);
  }

  const auto& inv_sigma
      = to_ref_if<!is_constant_all<T_scale>::value>(inv(sigma_val));
  const auto& inv_sigma_sq
      = to_ref_if<!is_constant_all<T_y, T_loc, T_scale>::value>(
          square(inv_sigma));
  const auto& log_y
      = to_ref_if<include_summand<propto, T_y>::value>(log(y_val));
  const auto& logy_m_mu = to_ref(log_y - mu_val);

  size_t N = max_size(y, mu, sigma);
  T_partials_return logp
      = N * NEG_LOG_SQRT_TWO_PI - 0.5 * sum(square(logy_m_mu) * inv_sigma_sq);
  if (include_summand<propto, T_scale>::value) {
    logp -= sum(log(sigma_val)) * N / math::size(sigma);
  }
  if (include_summand<propto, T_y>::value) {
    logp -= sum(log_y) * N / math::size(y);
  }

  if (!is_constant_all<T_y, T_loc, T_scale>::value) {
    const auto& logy_m_mu_div_sigma
        = to_ref_if<!is_constant_all<T_y>::value
                        + !is_constant_all<T_loc>::value
                        + !is_constant_all<T_scale>::value
                    >= 2>(logy_m_mu * inv_sigma_sq);
    if (!is_constant_all<T_y>::value) {
      ops_partials.edge1_.partials_ = -(1 + logy_m_mu_div_sigma) / y_val;
    }
    if (!is_constant_all<T_loc>::value) {
      ops_partials.edge2_.partials_ = logy_m_mu_div_sigma;
    }
    if (!is_constant_all<T_scale>::value) {
      ops_partials.edge3_.partials_
          = (logy_m_mu_div_sigma * logy_m_mu - 1) * inv_sigma;
    }
  }
  return ops_partials.build(logp);
}

template <typename T_y, typename T_loc, typename T_scale>
inline return_type_t<T_y, T_loc, T_scale> lognormal_lpdf(const T_y& y,
                                                         const T_loc& mu,
                                                         const T_scale& sigma) {
  return lognormal_lpdf<false>(y, mu, sigma);
}

}  // namespace math
}  // namespace stan
#endif
