/* --------------------------------------------------------------------------
CppAD: C++ Algorithmic Differentiation: Copyright (C) 2003-17 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 value.cpp$$
$spell
    Cpp
    cstddef
$$

$section Convert From AD to its Base Type: Example and Test$$


$srcfile%example/general/value.cpp%0%// BEGIN C++%// END C++%1%$$

$end
*/
// BEGIN C++

# include <cppad/cppad.hpp>

bool Value(void)
{   bool ok = true;
    using CppAD::AD;
    using CppAD::Value;

    // domain space vector
    size_t n = 2;
    CPPAD_TESTVECTOR(AD<double>) x(n);
    x[0] = 3.;
    x[1] = 4.;

    // check value before recording
    ok &= (Value(x[0]) == 3.);
    ok &= (Value(x[1]) == 4.);

    // declare independent variables and start tape recording
    CppAD::Independent(x);

    // range space vector
    size_t m = 1;
    CPPAD_TESTVECTOR(AD<double>) y(m);
    y[0] = - x[1];

    // cannot call Value(x[j]) or Value(y[0]) here (currently variables)
    AD<double> p = 5.;        // p is a parameter (does not depend on x)
    ok &= (Value(p) == 5.);

    // create f: x -> y and stop tape recording
    CppAD::ADFun<double> f(x, y);

    // can call Value(x[j]) or Value(y[0]) here (currently parameters)
    ok &= (Value(x[0]) ==  3.);
    ok &= (Value(x[1]) ==  4.);
    ok &= (Value(y[0]) == -4.);

    return ok;
}
// END C++
