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/**************************************************************************/
/* Copyright 2012 Tim Day */
/* */
/* This file is part of Evolvotron */
/* */
/* Evolvotron is free software: you can redistribute it and/or modify */
/* it under the terms of the GNU General Public License as published by */
/* the Free Software Foundation, either version 3 of the License, or */
/* (at your option) any later version. */
/* */
/* Evolvotron 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 General Public License for more details. */
/* */
/* You should have received a copy of the GNU General Public License */
/* along with Evolvotron. If not, see <http://www.gnu.org/licenses/>. */
/**************************************************************************/
/*! \file
\brief Implementation for FunctionTop
*/
#include "function_boilerplate_instantiate.h"
#include "function_top.h"
#include "mutation_parameters.h"
#include "transform.h"
const XYZ FunctionTop::evaluate(const XYZ& p) const
{
const Transform space_transform(params(),0);
const XYZ sp(space_transform.transformed(p));
const XYZ v(arg(0)(sp));
const XYZ tv(tanh(0.5*v.x()),tanh(0.5*v.y()),tanh(0.5*v.z()));
// ...each component of tv is in [-1,1] so the transform parameters define a rhomboid in colour space.
const Transform colour_transform(params(),12);
return colour_transform.transformed(tv);
}
std::unique_ptr<FunctionTop> FunctionTop::initial(const MutationParameters& parameters,const FunctionRegistration* specific_fn,bool unwrapped)
{
std::unique_ptr<FunctionNode> fn;
do
{
if (specific_fn)
{
fn=(*(specific_fn->stubnew_fn()))(parameters,true);
}
else
{
// This one is crucial: we REALLY want something interesting to happen within here.
fn=FunctionNode::stub(parameters,true);
}
assert(fn->ok());
if (fn->is_constant() && !(specific_fn && specific_fn->name()=="FunctionConstant"))
{
fn.reset();
}
}
while (!fn.get());
assert(fn->ok());
boost::ptr_vector<FunctionNode> a;
a.push_back(fn.release());
const TransformIdentity ti;
std::vector<real> tiv=ti.get_columns();
std::vector<real> p;
p.insert(p.end(),tiv.begin(),tiv.end());
p.insert(p.end(),tiv.begin(),tiv.end());
std::unique_ptr<FunctionTop> fn_top(new FunctionTop(p,a,0));
if (unwrapped)
{
// For unwrapped just allow a scale factor and scramble colours
fn_top->concatenate_pretransform_on_right(TransformScale(parameters.rnegexp()));
fn_top->reset_posttransform_parameters(parameters);
}
else
{
fn_top->reset_pretransform_parameters(parameters);
fn_top->reset_posttransform_parameters(parameters);
}
return fn_top;
}
void FunctionTop::mutate(const MutationParameters& parameters,bool mutate_own_parameters)
{
FunctionNode::mutate(parameters,false);
if (mutate_own_parameters)
{
if (parameters.r01()<parameters.effective_probability_parameter_reset())
{
reset_pretransform_parameters(parameters);
}
else
{
mutate_pretransform_parameters(parameters);
}
if (parameters.r01()<parameters.effective_probability_parameter_reset())
{
reset_posttransform_parameters(parameters);
}
else
{
mutate_posttransform_parameters(parameters);
}
}
}
void FunctionTop::concatenate_pretransform_on_right(const Transform& transform)
{
Transform current_transform(params(),0);
current_transform.concatenate_on_right(transform);
for (uint i=0;i<12;i++)
params()[i]=current_transform.get_columns()[i];
}
const Transform FunctionTop::interesting_pretransform(const MutationParameters& parameters,const real k)
{
Transform t=TransformIdentity();
XYZ origin(0.0,0.0,0.0);
if (parameters.r01()<0.5)
{
origin.x(parameters.rnegexp());
origin.y(parameters.rnegexp());
if (parameters.r01()<0.5) origin.z(parameters.rnegexp());
}
t.concatenate_on_right(TransformTranslate(-origin));
if (parameters.r01()<0.5)
{
t.concatenate_on_right(TransformScale(1.0+k*(parameters.rnegexp()-1.0)));
}
else
{
t.concatenate_on_right(TransformScale(XYZ(1.0+k*(parameters.rnegexp()-1.0),1.0+k*(parameters.rnegexp()-1.0),1.0+k*(parameters.rnegexp()-1.0))));
}
if (k==1.0)
{
while (parameters.r01()<0.125) t.concatenate_on_right(TransformScale(2.0));
while (parameters.r01()<0.125) t.concatenate_on_right(TransformScale(0.5));
}
else if (parameters.r01()<parameters.effective_probability_parameter_reset())
{
do
{
t.concatenate_on_right(TransformScale(2.0));
}
while (parameters.r01()<0.125);
while (parameters.r01()<0.125)
{
t.concatenate_on_right(TransformScale(0.5));
}
}
if (k==1.0)
{
if (parameters.r01()<0.0625) t.concatenate_on_right(TransformRotateX(0.5*M_PI*(parameters.r01()<0.5 ? 1.0 : -1.0)));
if (parameters.r01()<0.0625) t.concatenate_on_right(TransformRotateY(0.5*M_PI*(parameters.r01()<0.5 ? 1.0 : -1.0)));
if (parameters.r01()<0.0625) t.concatenate_on_right(TransformRotateZ(0.5*M_PI*(parameters.r01()<0.5 ? 1.0 : -1.0)));
}
if (parameters.r01()<0.5)
{
t.concatenate_on_right(TransformRotateZ(k*2.0*M_PI*parameters.r01()));
}
if (parameters.r01()<0.125)
{
t.concatenate_on_right(TransformRotateX(k*2.0*M_PI*parameters.r01()));
}
if (parameters.r01()<0.125)
{
t.concatenate_on_right(TransformRotateY(k*2.0*M_PI*parameters.r01()));
}
t.concatenate_on_right(TransformTranslate(origin));
XYZ translate(0.0,0.0,0.0);
if (parameters.r01()<0.5)
{
translate.x(k*parameters.rnegexp());
translate.y(k*parameters.rnegexp());
if (parameters.r01()<0.5) translate.z(k*parameters.rnegexp());
}
t.concatenate_on_right(TransformTranslate(k*translate));
return t;
}
void FunctionTop::mutate_pretransform_parameters(const MutationParameters& parameters)
{
concatenate_pretransform_on_right(interesting_pretransform(parameters,parameters.effective_magnitude_parameter_variation()));
//! \todo: Could have a small probability of orthoganalizing the basis vectors.
}
void FunctionTop::reset_pretransform_parameters(const MutationParameters& parameters)
{
const Transform t=interesting_pretransform(parameters,1.0);
const std::vector<real> p(t.get_columns());
for (uint i=0;i<11;i++)
params()[i]=p[i];
}
void FunctionTop::mutate_posttransform_parameters(const MutationParameters& parameters)
{
for (uint i=12;i<23;i++)
params()[i]+=parameters.effective_magnitude_parameter_variation()*(parameters.r01()<0.5 ? -parameters.rnegexp() : parameters.rnegexp());
}
void FunctionTop::reset_posttransform_parameters(const MutationParameters& parameters)
{
std::vector<real> p;
stubparams(p,parameters,12);
for (uint i=0;i<11;i++)
params()[12+i]=p[i];
}
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