Copied from eoRndGenerators here is eoUniformInit, same thing but in the eoInit

hierarchy.
Useful to embed into higher levels eoInit

eo/src/utils/eoUniformInit.h

@@ -0,0 +1,155 @@
+/* -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
+
+  -----------------------------------------------------------------------------
+  eoUniformInit.h
+
+ (c) Maarten Keijzer, GeNeura Team, Marc Schoenauer, 1999 - 2002
+
+    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 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., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
+
+    Contact: todos@geneura.ugr.es, http://geneura.ugr.es
+             Marc.Schoenauer@inria.fr
+ */
+
+//-----------------------------------------------------------------------------
+/** Copied from the eoRndGenerators to have objects deriving from eoInit 
+ * As the whole initialization mechanism in EO is based on eoInit rather than 
+ * eoRndGenerators, we might as well have these directly written without
+ * overhead
+
+@classes:  
+  eoUniformInit     uniform initialization for doubles, floats, ints, ...
+  eoBooleanInit     biased init for booleans
+  eoNormalInit      normal intialization for doubles and floats
+  eoNegExpInit      negative exponential distributions    "
+*/
+
+#ifndef eoUniformInit_h
+#define eoUniformInit_h
+
+#include "eoRNG.h"
+#include "eoInit.h"
+#include "eoRealBounds.h"
+#include <stdexcept>
+
+using eo::rng;
+
+/**
+   The class eoUniformInit can be used in the STL apply function
+   to easily randomize floats and doubles. It can also
+   be used for ints and unsigneds by virtue of the static_cast
+
+   Also present is a specialization for boolean, that will
+   ignore the minima and maxima that are possibly set and will
+   return an unbiased flip of a coin. For a biased flip, use the eoBoolean
+
+   either in [0, _max) if only 1 value (_max) is given
+                       (or none, as _max defaults to 1.0)
+   or in [_min,_max) if 2 values are given (_min, _max)
+*/
+template <class T = double> class eoUniformInit : public eoInit<T>
+{
+  public :
+  /** Ctor with only a max bound */
+  eoUniformInit(T _max = T(1.0), eoRng& _rng = rng) :
+    minim(T(0.0)), range(_max), uniform(_rng) 
+  {}
+  
+  /** Ctor with an eoRealBound */
+  eoUniformInit(eoRealBounds & _bound, eoRng& _rng = rng) :
+    minim(_bound.minimum()), range(_bound.range()), uniform(_rng)
+  {}
+  
+  /** Ctor with explicit min and max */
+  eoUniformInit(T _min, T _max, eoRng& _rng = rng) :
+    minim(_min), range(_max-_min), uniform(_rng)
+  {
+    if (_min>_max)
+      throw logic_error("Min is greater than Max in uniform_generator");
+  }
+  
+  /**
+     Generates the number, uses a static_cast to get the right behaviour
+     for ints and unsigneds
+  */
+  void operator()(T & _t) 
+  { 
+    _t = minim+static_cast<T>(uniform.uniform(range)); 
+  }
+
+private :
+  T minim;
+  T range;
+  eoRng& uniform;
+};
+
+
+/** Specialization for bool, does an unbiased coin flip */
+template <>
+void eoUniformInit<bool>::operator()(bool & _b)
+{
+    _b = uniform.flip(0.5);
+}
+
+/**
+   The class eoBooleanInit can be used in the STL apply function
+   to easily generate random booleans with a specified bias
+*/
+class eoBooleanInit : public eoInit<bool>
+{
+  public :
+  eoBooleanInit(float _bias = 0.5, eoRng& _rng = rng) : bias(_bias), gen(_rng) {}
+
+  void operator()(bool & _b) { _b = gen.flip(bias); }
+  private :
+  float bias;
+  eoRng& gen;
+};
+
+/**
+   The class normal_generator can be used in the STL generate function
+   to easily generate gaussian distributed floats and doubles. The user
+   can supply a standard deviation which defaults to 1.
+*/
+template <class T = double> class eoNormalInit : public eoInit<T>
+{
+  public :
+    eoNormalInit(T _stdev = T(1.0), eoRng& _rng = rng) : stdev(_stdev), normal(_rng) {}
+
+  void operator()(T & _t) { _t = (T) normal.normal(stdev); }
+
+  private :
+    T stdev;
+  eoRng& normal;
+};
+
+/**
+   The class negexp_generator can be used in the STL generate function
+   to easily generate negative exponential distributed floats and doubles. The user
+   can supply a mean.
+*/
+template <class T = double> class eoNegExpInit : public eoInit<T>
+{
+  public :
+    eoNegExpInit(T _mean = 1.0, eoRng& _rng = rng) : mean(_mean), negexp(_rng) {}
+
+  void operator()(T & _t) { _t = (T) negexp.negexp(mean); }
+
+  private :
+    T mean;
+  eoRng& negexp;
+};
+
+#endif