rename everything from 'do' to 'edo'

src/edoSampler.h

@@ -0,0 +1,95 @@
+/*
+The Evolving Distribution Objects framework (EDO) is a template-based, 
+ANSI-C++ evolutionary computation library which helps you to write your 
+own estimation of distribution algorithms.
+
+This library is free software; you can redistribute it and/or
+modify it under the terms of the GNU Lesser General Public
+License as published by the Free Software Foundation; either
+version 2.1 of the License, or (at your option) any later version.
+
+This library is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
+Lesser General Public License for more details.
+
+You should have received a copy of the GNU Lesser General Public
+License along with this library; if not, write to the Free Software
+Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
+
+Copyright (C) 2010 Thales group
+*/
+/*
+Authors:
+    Johann Dréo <johann.dreo@thalesgroup.com>
+    Caner Candan <caner.candan@thalesgroup.com>
+*/
+
+#ifndef _edoSampler_h
+#define _edoSampler_h
+
+#include <eoFunctor.h>
+
+#include "edoBounder.h"
+#include "edoBounderNo.h"
+
+template < typename D >
+class edoSampler : public eoUF< D&, typename D::EOType >
+{
+public:
+    typedef typename D::EOType EOType;
+
+    edoSampler(edoBounder< EOType > & bounder)
+	: /*_dummy_bounder(),*/ _bounder(bounder)
+    {}
+
+    /*
+    edoSampler()
+	: _dummy_bounder(), _bounder( _dummy_bounder )
+    {}
+    */
+
+    // virtual EOType operator()( D& ) = 0 (provided by eoUF< A1, R >)
+
+    virtual EOType sample( D& ) = 0;
+
+    EOType operator()( D& distrib )
+    {
+	unsigned int size = distrib.size();
+	assert(size > 0);
+
+
+	//-------------------------------------------------------------
+	// Point we want to sample to get higher a set of points
+	// (coordinates in n dimension)
+	// x = {x1, x2, ..., xn}
+	// the sample method is implemented in the derivated class
+	//-------------------------------------------------------------
+
+	EOType solution(sample(distrib));
+
+	//-------------------------------------------------------------
+
+
+	//-------------------------------------------------------------
+	// Now we are bounding the distribution thanks to min and max
+	// parameters.
+	//-------------------------------------------------------------
+
+	_bounder(solution);
+
+	//-------------------------------------------------------------
+
+
+	return solution;
+    }
+
+private:
+    //edoBounderNo<EOType> _dummy_bounder;
+
+    //! Bounder functor
+    edoBounder< EOType > & _bounder;
+
+};
+
+#endif // !_edoSampler_h