eoVector is back (eoFixedLength and eoVariableLength are gone)

Also: introducing eoRndGenerators.h for eoRndGenerator derived classes:

  eoNormalGenerator
  eoUniformGenerator
  eoBooleanGenerator
  eoNegExpGenerator

Note the suffix that are added to aid in determining what these classes do

eo/src/utils/eoRndGenerators.h

@@ -0,0 +1,149 @@
+/* -*- mode: c++; c-indent-level: 4; c++-member-init-indent: 8; comment-column: 35; -*-
+
+  -----------------------------------------------------------------------------
+  eoRndGenerators.h
+
+  mimics the rnd_generator.h by putting the generators in the EO-hierarchy
+
+ (c) Maarten Keijzer (mak@dhi.dk) and GeNeura Team, 1999, 2000
+
+    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
+ */
+
+//-----------------------------------------------------------------------------
+
+#ifndef eoRND_GENERATORS_H
+#define eoRND_GENERATORS_H
+
+#include "eoRNG.h"
+#include <eoFunctor.h>
+#include <stdexcept>
+
+/**
+  By popular demand re-introducing a base class for a family of
+  random number generators. Derived members of this class are useful
+  to initialize fixed/variable length genotypes that have an 'atomic' type
+  in an indepent way (thus without employing any knowledge abou the problem domain).
+
+  The only change from previous EO's us the use of the suffix EO. This to
+
+  See derived classes eoUniformGenerator, eoBooleanGenerator, eoNormalGenerator and eoNegExpGenerator
+*/
+template <class T>
+class eoRndGenerator : public eoF<T>
+{
+  typedef T AtomType;
+};
+
+/**
+   The class eoUniform can be used in the STL generate function
+   to easily generate random floats and doubles. It can also
+   be used for ints and unsigneds by virtue of the static_cast
+   in the generator function.
+
+   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 eoUniformGenerator : public eoRndGenerator<T>
+{
+  // added new ctor with 2 params, and modified the data to minim and range
+  // (was maxim only). MS 3/11/2000
+  public :
+    eoUniformGenerator(T _max = T(1.0), eoRng& _rng = rng) :
+      minim(T(0.0)), range(_max), uniform(_rng) {}
+    eoUniformGenerator(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
+  */
+  T operator()(void) { return minim+static_cast<T>(uniform.uniform(range)); }
+
+private :
+  T minim;
+  T range;
+  eoRng& uniform;
+};
+
+
+/// Specialization for bool, does an unbiased coin flip
+template <>
+bool eoUniformGenerator<bool>::operator()(void)
+{
+    return uniform.flip(0.5);
+}
+
+/**
+   The class eoBooleanGenerator can be used in the STL generate function
+   to easily generate random booleans with a specified bias
+*/
+class eoBooleanGenerator : public eoRndGenerator<bool>
+{
+  public :
+  eoBooleanGenerator(float _bias = 0.5, eoRng& _rng = rng) : bias(_bias), gen(_rng) {}
+
+  bool operator()(void) { return 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 eoNormalGenerator : public eoRndGenerator<T>
+{
+  public :
+    eoNormalGenerator(T _stdev = T(1.0), eoRng& _rng = rng) : stdev(_stdev), normal(_rng) {}
+
+  T operator()(void) { return (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 eoNegExpGenerator : public eoRndGenerator<T>
+{
+  public :
+    eoNegExpGenerator(T _mean = 1.0, eoRng& _rng = rng) : mean(_mean), negexp(_rng) {}
+
+  T operator()(void) { return (T) negexp.negexp(mean); }
+
+  private :
+    T mean;
+  eoRng& negexp;
+};
+
+#endif