/*################################################################################
  ##
  ##   Copyright (C) 2011-2020 Keith O'Hara
  ##
  ##   This file is part of the StatsLib C++ library.
  ##
  ##   Licensed under the Apache License, Version 2.0 (the "License");
  ##   you may not use this file except in compliance with the License.
  ##   You may obtain a copy of the License at
  ##
  ##       http://www.apache.org/licenses/LICENSE-2.0
  ##
  ##   Unless required by applicable law or agreed to in writing, software
  ##   distributed under the License is distributed on an "AS IS" BASIS,
  ##   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  ##   See the License for the specific language governing permissions and
  ##   limitations under the License.
  ##
  ################################################################################*/

#define STATS_TEST_INPUT_TYPE 1

#define TEST_PRINT_PRECISION_1 2
#define TEST_PRINT_PRECISION_2 5

#include "../stats_tests.hpp"

int main()
{
    print_begin("qbinom");

    // parameters

    int n_trials = 4;
    double prob_par = 0.6;

    //

    std::vector<double> inp_vals = { 0.15,  0.5,  0.90 };
    std::vector<double> exp_vals = { 1,     2,    4 };

    //
    // scalar tests

    STATS_TEST_EXPECTED_QUANT_VAL(qbinom,inp_vals[0],exp_vals[0],n_trials,prob_par);
    STATS_TEST_EXPECTED_QUANT_VAL(qbinom,inp_vals[1],exp_vals[1],n_trials,prob_par);
    STATS_TEST_EXPECTED_QUANT_VAL(qbinom,inp_vals[2],exp_vals[2],n_trials,prob_par);

    STATS_TEST_EXPECTED_QUANT_VAL(qbinom,0.5,TEST_NAN,2,TEST_NAN);                                  // NaN inputs
    STATS_TEST_EXPECTED_QUANT_VAL(qbinom,TEST_NAN,TEST_NAN,n_trials,prob_par);
    STATS_TEST_EXPECTED_QUANT_VAL(qbinom,TEST_NAN,TEST_NAN,n_trials,TEST_NAN);

    STATS_TEST_EXPECTED_QUANT_VAL(qbinom,-0.1,TEST_NAN,n_trials,prob_par);                          // p < 0 or p > 1 cases
    STATS_TEST_EXPECTED_QUANT_VAL(qbinom, 1.1,TEST_NAN,n_trials,prob_par);

    STATS_TEST_EXPECTED_QUANT_VAL(qbinom,0.5,TEST_NAN,-1,0.5);                                      // n_trials < 0
    STATS_TEST_EXPECTED_QUANT_VAL(qbinom,0.5,TEST_NAN,1,-0.1);                                      // p < 0
    STATS_TEST_EXPECTED_QUANT_VAL(qbinom,0.5,TEST_NAN,1,1.1);                                       // p > 1

    STATS_TEST_EXPECTED_QUANT_VAL(qbinom,0,0,0,0.5);                                                // n_trials == 0
    STATS_TEST_EXPECTED_QUANT_VAL(qbinom,0,0,0,1.0);
    STATS_TEST_EXPECTED_QUANT_VAL(qbinom,1,0,0,0.5);
    STATS_TEST_EXPECTED_QUANT_VAL(qbinom,1,0,0,1.0);

    STATS_TEST_EXPECTED_QUANT_VAL(qbinom,1-prob_par,0,1,prob_par);                                  // n_trials == 1
    STATS_TEST_EXPECTED_QUANT_VAL(qbinom,1-prob_par+0.0001,1,1,prob_par);

    //
    // vector/matrix tests

#ifdef STATS_TEST_STDVEC_FEATURES
    STATS_TEST_EXPECTED_QUANT_MAT(qbinom,inp_vals,exp_vals,std::vector<double>,n_trials,prob_par);
#endif

#ifdef STATS_TEST_MATRIX_FEATURES
    mat_obj inp_mat(2,3);
    inp_mat(0,0) = inp_vals[0];
    inp_mat(1,0) = inp_vals[2];
    inp_mat(0,1) = inp_vals[1];
    inp_mat(1,1) = inp_vals[0];
    inp_mat(0,2) = inp_vals[2];
    inp_mat(1,2) = inp_vals[1];

    mat_obj exp_mat(2,3);
    exp_mat(0,0) = exp_vals[0];
    exp_mat(1,0) = exp_vals[2];
    exp_mat(0,1) = exp_vals[1];
    exp_mat(1,1) = exp_vals[0];
    exp_mat(0,2) = exp_vals[2];
    exp_mat(1,2) = exp_vals[1];

    STATS_TEST_EXPECTED_QUANT_MAT(qbinom,inp_mat,exp_mat,mat_obj,n_trials,prob_par);
#endif

    // 

    print_final("qbinom");

    return 0;
}
