/* --------------------------------------------------------------------------
CppAD: C++ Algorithmic Differentiation: Copyright (C) 2003-20 Bradley M. Bell

CppAD is distributed under the terms of the
             Eclipse Public License Version 2.0.

This Source Code may also be made available under the following
Secondary License when the conditions for such availability set forth
in the Eclipse Public License, Version 2.0 are satisfied:
      GNU General Public License, Version 2.0 or later.
---------------------------------------------------------------------------- */
/*
$begin graph_azmul_op.cpp$$
$spell
    add
    Json
$$

$section C++ AD Graph add Operator: Example and Test$$

$head Source Code$$
$srcthisfile%0%// BEGIN C++%// END C++%1%$$

$end
*/
// BEGIN C++
# include <cppad/cppad.hpp>

bool azmul_op(void)
{   bool ok = true;
    using std::string;
    //
    // AD graph example
    // node_1 : p[0]
    // node_2 : p[1]
    // node_3 : x[0]
    // node_4 : azmul(p[0] , p[1])
    // node_5 : azmul(x[0] , p[1])
    // y[0]   = azmul(p[0] , p[1])
    // y[1]   = azmul(x[0] , p[1])
    //
    // C++ graph object
    CppAD::cpp_graph graph_obj;
    //
    // operator being used
    CppAD::graph::graph_op_enum op_enum;
    //
    // set scalars
    graph_obj.function_name_set("azmul_op example");
    size_t n_dynamic_ind = 2;
    graph_obj.n_dynamic_ind_set(n_dynamic_ind);
    size_t n_variable_ind = 1;
    graph_obj.n_variable_ind_set(n_variable_ind);
    //
    // node_4 : azmul(p[0], p[1])
    op_enum = CppAD::graph::azmul_graph_op;
    graph_obj.operator_vec_push_back(op_enum);
    graph_obj.operator_arg_push_back(1);
    graph_obj.operator_arg_push_back(2);
    //
    // node_5 : azmul(x[0], p[1])
    graph_obj.operator_vec_push_back(op_enum);
    graph_obj.operator_arg_push_back(3);
    graph_obj.operator_arg_push_back(2);
    //
    // y[0]   = azmul(p[0], p[1])
    // y[1]   = azmul(x[0], x[1])
    graph_obj.dependent_vec_push_back(4);
    graph_obj.dependent_vec_push_back(5);
    //
    // f(x, p) = y
    CppAD::ADFun<double> f;
    f.from_graph(graph_obj);
    ok &= f.Domain() == 1;
    ok &= f.Range() == 2;
    ok &= f.size_dyn_ind() == 2;
    //
    // set independent variables and parameters
    CPPAD_TESTVECTOR(double) p(2), x(1);
    p[0] = 2.0;
    p[1] = 3.0;
    x[0] = 4.0;
    //
    // compute y = f(x, p)
    f.new_dynamic(p);
    CPPAD_TESTVECTOR(double) y = f.Forward(0, x);
    //
    // check result
    ok &= y[0] == p[0] * p[1];
    ok &= y[1] == x[0] * p[1];
    // -----------------------------------------------------------------------
    // Convert function to graph and back again
    f.to_graph(graph_obj);
    f.from_graph(graph_obj);
    // -----------------------------------------------------------------------
    ok &= f.Domain() == 1;
    ok &= f.Range() == 2;
    ok &= f.size_dyn_ind() == 2;
    //
    // set independent variables and parameters
    p[0] = 3.0;
    p[1] = std::numeric_limits<double>::quiet_NaN();
    x[0] = 0.0;
    //
    // supress checking for nan in y
    f.check_for_nan(false);
    //
    // compute y = f(x, p)
    f.new_dynamic(p);
    y = f.Forward(0, x);
    //
    // check result
    ok &= std::isnan(y[0]);
    ok &= y[1] == 0.0;
    //
    return ok;
}
// END C++
