/* --------------------------------------------------------------------------
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 optimize_compare_op.cpp$$

$section Example Optimization and Comparison Operators$$

$head See Also$$
$cref cond_exp.cpp$$

$srcfile%example/optimize/compare_op.cpp%0%// BEGIN C++%// END C++%1%$$

$end
*/
// BEGIN C++
# include <cppad/cppad.hpp>
namespace {
    struct tape_size { size_t n_var; size_t n_op; };

    template <class Vector> void fun(
        const std::string& options ,
        const Vector& x, Vector& y, tape_size& before, tape_size& after
    )
    {   typedef typename Vector::value_type scalar;

        // phantom variable with index 0 and independent variables
        // begin operator, independent variable operators and end operator
        before.n_var = 1 + x.size(); before.n_op  = 2 + x.size();
        after.n_var  = 1 + x.size(); after.n_op   = 2 + x.size();

        // Create a variable that is is only used in the comparision operation
        // It is not used when the comparison operator is not included
        scalar one = 1. / x[0];
        before.n_var += 1; before.n_op += 1;
        after.n_var  += 0; after.n_op  += 0;
        // If we keep comparision operators, we must compute their operands
        if( options.find("no_compare_op") == std::string::npos )
        {   after.n_var += 1;  after.n_op += 1;
        }

        // Create a variable that is used by the result
        scalar two = x[0] * 5.;
        before.n_var += 1; before.n_op += 1;
        after.n_var  += 1; after.n_op += 1;

        // Only one variable created for this comparison operation
        // but the value depends on which branch is taken.
        scalar three;
        if( one < x[0] )        // comparison operator
            three = two / 2.0;  // division operator
        else
            three = 2.0 * two;  // multiplication operator
        // comparison and either division of multiplication operator
        before.n_var += 1; before.n_op += 2;
        // comparison operator depends on optimization options
        after.n_var += 1;  after.n_op += 1;
        // check if we are keeping the comparison operator
        if( options.find("no_compare_op") == std::string::npos )
            after.n_op += 1;

        // results for this operation sequence
        y[0] = three;
        before.n_var += 0; before.n_op  += 0;
        after.n_var  += 0; after.n_op   += 0;
    }
}

bool compare_op(void)
{   bool ok = true;
    using CppAD::AD;
    using CppAD::NearEqual;
    double eps10 = 10.0 * std::numeric_limits<double>::epsilon();

    // domain space vector
    size_t n  = 1;
    CPPAD_TESTVECTOR(AD<double>) ax(n);
    ax[0] = 0.5;

    // range space vector
    size_t m = 1;
    CPPAD_TESTVECTOR(AD<double>) ay(m);

    for(size_t k = 0; k < 2; k++)
    {   // optimization options
        std::string options = "";
        if( k == 0 )
            options = "no_compare_op";

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

        // compute function value
        tape_size before, after;
        fun(options, ax, ay, before, after);

        // create f: x -> y and stop tape recording
        CppAD::ADFun<double> f(ax, ay);
        ok &= f.size_var() == before.n_var;
        ok &= f.size_op() == before.n_op;

        // Optimize the operation sequence
        f.optimize(options);
        ok &= f.size_var() == after.n_var;
        ok &= f.size_op() == after.n_op;

        // Check result for a zero order calculation for a different x,
        // where the result of the comparison is he same.
        CPPAD_TESTVECTOR(double) x(n), y(m), check(m);
        x[0] = 0.75;
        y    = f.Forward(0, x);
        if ( options == "" )
            ok  &= f.compare_change_number() == 0;
        fun(options, x, check, before, after);
        ok &= NearEqual(y[0], check[0], eps10, eps10);

        // Check case where result of the comparision is differnent
        // (hence one needs to re-tape to get correct result)
        x[0] = 2.0;
        y    = f.Forward(0, x);
        if ( options == "" )
            ok  &= f.compare_change_number() == 1;
        fun(options, x, check, before, after);
        ok  &= std::fabs(y[0] - check[0]) > 0.5;
    }
    return ok;
}

// END C++
