text: // Arguments: Doubles, Doubles, Doubles
  #include <stan/math/prim.hpp>
  
  using stan::math::var;
  using std::numeric_limits;
  using std::vector;
  
  class AgradCcdfLogLogistic : public AgradCcdfLogTest {
   public:
    void valid_values(vector<vector<double> >& parameters,
                      vector<double>& ccdf_log) {
      vector<double> param(3);
  
      param[0] = 3.0;  // y
      param[1] = 0.5;  // Location
      param[2] = 3.3;  // Scale
      parameters.push_back(param);
      ccdf_log.push_back(
          std::log(1.0 - 0.68082717327852959599));  // expected ccdf_log
    }
  
    void invalid_values(vector<size_t>& index, vector<double>& value) {
      // mu
      index.push_back(1U);
      value.push_back(-numeric_limits<double>::infinity());
  
      index.push_back(1U);
      value.push_back(numeric_limits<double>::infinity());
  
      // sigma
      index.push_back(2U);
      value.push_back(-1.0);
  
      index.push_back(2U);
      value.push_back(0.0);
  
      index.push_back(2U);
      value.push_back(numeric_limits<double>::infinity());
    }
  
    bool has_lower_bound() { return false; }
  
    bool has_upper_bound() { return false; }
  
    template <typename T_y, typename T_loc, typename T_scale, typename T3,
              typename T4, typename T5>
    stan::return_type_t<T_y, T_loc, T_scale> ccdf_log(const T_y& y,
                                                      const T_loc& mu,
                                                      const T_scale& sigma,
                                                      const T3&, const T4&,
                                                      const T5&) {
      return stan::math::logistic_ccdf_log(y, mu, sigma);
    }
  
    template <typename T_y, typename T_loc, typename T_scale, typename T3,
              typename T4, typename T5>
    stan::return_type_t<T_y, T_loc, T_scale> ccdf_log_function(
        const T_y& y, const T_loc& mu, const T_scale& sigma, const T3&, const T4&,
        const T5&) {
      return log(1.0 - 1.0 / (1.0 + exp(-(y - mu) / sigma)));
    }
  };
  