refactored

Makefile

@@ -1,29 +1,46 @@
-LIBS=input constant element integrator system simulation
-OBJFILES=./src/Solution.o ./src/Problem.o ./src/Network.o ./src/Neuron.o ./src/Genetics.o
 
 include ./Makefile.const
 
 .PHONY: all
 
-all: lib
+all:|pre libs
+
+pre:
+	@mkdir -p lib
+
+libs: genetics nn
 
 test: all
 	make -C tests
 
-lib: $(LIBNAME).a  $(LIBNAME).so 
+nn: lib/NeuronNetwork.a lib/NeuronNetwork.so
+
+lib/NeuronNetwork.so: nn_build
+	cp ./src/NeuronNetwork/NeuronNetwork.so ./lib/
+
+lib/NeuronNetwork.a: nn_build
+	cp ./src/NeuronNetwork/NeuronNetwork.a ./lib/
+	cp ./src/NeuronNetwork/NeuronNetwork.nm ./lib/
+
+nn_build:
+	make -C src/NeuronNetwork
+
+
+genetics: lib/Genetics.a lib/Genetics.so
+
+lib/Genetics.so: genetics_build
+	cp ./src/Genetics/Genetics.so ./lib/
+
+lib/Genetics.a: genetics_build
+	cp ./src/Genetics/Genetics.a ./lib/
+	cp ./src/Genetics/Genetics.nm ./lib/
+
+genetics_build:
+	make -C src/Genetics
 
 clean:
-	rm -f ./src/*.o
-	rm -f ./$(LIBNAME).so ./$(LIBNAME).a  ./$(LIBNAME).nm
-
-%.o : %.cpp %.h
-	$(CXX) $(CXXFLAGS) -c $< -o $@
-
-$(LIBNAME).so:  $(OBJFILES)
-	$(CXX) -shared $(CXXFLAGS) $(OBJFILES) -o $(LIBNAME).so
-
-$(LIBNAME).a: $(OBJFILES)
-	rm -f $(LIBNAME).a  # create new library
-	ar rcv $(LIBNAME).a $(OBJFILES)
-	ranlib $(LIBNAME).a
-	nm --demangle $(LIBNAME).a > $(LIBNAME).nm
+	@make -C src/Genetics clean
+	@make -C src/NeuronNetwork clean
+	#@rm -f ./*.so ./*.a  ./*.nm
+	@rm -f ./lib/*.so ./lib/*.a  ./lib/*.nm
+	@echo "Cleaned....."

Makefile.const

@@ -5,4 +5,5 @@ CXXFLAGS+= -O2
 #CXXFLAGS+= -pg -fPIC
 CXXFLAGS+= -fPIC
 
-LIBNAME=NN
+%.o : %.cpp %.h
+	$(CXX) $(CXXFLAGS) -c $< -o $@

src/Genetics.cpp

@@ -1,9 +0,0 @@
-#include "Genetics"
-
-S::XXY S::Genetics::getSolution()
-{
-	while(1)
-	{
-		
-	}
-}

src/Genetics.h

@@ -1,33 +0,0 @@
-#ifndef _GENETICS_H_
-#define _GENETICS_H_
-
-namespace S
-{
-	class XXY
-	{
-		
-	};
-
-	class PossibleSolution
-	{
-		public:
-			virtual void mutate()=0;
-			virtual PossibleSolution& combine(const PossibleSolution &s)=0;
-			virtual double getFitness()=0;
-		private:
-		
-	};
-
-	template <typename _T>
-	class Genetics
-	{
-		public:
-			XXY getSolution(_T);
-		protected:
-		private:
-	};
-
-
-}
-
-#endif

src/Genetics/Genetics.cpp

@@ -0,0 +1,13 @@
+#include "Genetics"
+
+using namespace Shin::Genetics;
+
+/*S::XXY S::Genetics::getSolution()
+{
+	while(1)
+	{
+		
+	}
+}
+
+*/

src/Genetics/Genetics.h

@@ -0,0 +1,48 @@
+#ifndef _GENETICS_H_
+#define _GENETICS_H_
+
+namespace Shin
+{
+namespace Genetics
+{
+	class XXY
+	{
+		
+	};
+
+	class Entity
+	{
+		public:
+			virtual void mutate()=0;
+			virtual Entity& combine(const Entity &s)=0;
+			virtual double getFitness()=0;
+		private:
+		
+	};
+
+	class Generation
+	{
+		public:
+			double absoluteFitness();
+			double relativeFiness();
+			double bestFitness();
+			double worstFitness();
+			double averageFitness();
+			unsigned long size();
+		protected:
+			
+	};
+
+	template <typename _T>
+	class Genetics
+	{
+		public:
+			XXY getSolution(_T);
+		protected:
+		private:
+	};
+
+}
+}
+
+#endif

src/Genetics/Makefile

@@ -0,0 +1,21 @@
+OBJFILES=./Genetics.o
+
+LIBNAME=Genetics
+
+include ../../Makefile.const
+
+all: lib
+
+lib: $(LIBNAME).so $(LIBNAME).a
+
+$(LIBNAME).so:  $(OBJFILES)
+	$(CXX) -shared $(CXXFLAGS) $(OBJFILES) -o $(LIBNAME).so
+
+$(LIBNAME).a: $(OBJFILES)
+	rm -f $(LIBNAME).a  # create new library
+	ar rcv $(LIBNAME).a $(OBJFILES)
+	ranlib $(LIBNAME).a
+	nm --demangle $(LIBNAME).a > $(LIBNAME).nm
+
+clean:
+	@rm -f ./*.o ./*.so ./*.a ./*.nm

src/NeuronNetwork/Makefile

@@ -0,0 +1,21 @@
+OBJFILES=./Solution.o ./Problem.o ./Network.o ./Neuron.o
+
+LIBNAME=NeuronNetwork
+
+include ../../Makefile.const
+
+all: lib
+
+lib: $(LIBNAME).so $(LIBNAME).a
+
+$(LIBNAME).so:  $(OBJFILES)
+	$(CXX) -shared $(CXXFLAGS) $(OBJFILES) -o $(LIBNAME).so
+
+$(LIBNAME).a: $(OBJFILES)
+	rm -f $(LIBNAME).a  # create new library
+	ar rcv $(LIBNAME).a $(OBJFILES)
+	ranlib $(LIBNAME).a
+	nm --demangle $(LIBNAME).a > $(LIBNAME).nm
+
+clean:
+	@rm -f ./*.o ./*.so ./*.a ./*.nm

src/NeuronNetwork/Network.cpp

@@ -1,6 +1,8 @@
 #include "Network"
 
-S::FeedForwardNetwork::~FeedForwardNetwork()
+using namespace Shin::NeuronNetwork;
+
+FeedForwardNetwork::~FeedForwardNetwork()
 {
 	for(Layer *l:layers)
 	{
@@ -8,7 +10,7 @@ S::FeedForwardNetwork::~FeedForwardNetwork()
 	}
 }
 
-S::Solution S::FeedForwardNetwork::solve(const S::Problem& p)
+Solution FeedForwardNetwork::solve(const Problem& p)
 {
 	Solution s=Solution(p);
 	for (Layer *l:layers)
@@ -18,22 +20,22 @@ S::Solution S::FeedForwardNetwork::solve(const S::Problem& p)
 	return s;
 }
 
-void S::FeedForwardNetwork::learn(const S::Problem & problem, const S::Solution &actual)
+void FeedForwardNetwork::learn(const Problem & problem, const Solution &actual)
 {
 	//S::Solution s= solve(p);
 }
 
-const S::Layer* S::FeedForwardNetwork::operator[](int layer)
+const Layer* FeedForwardNetwork::operator[](int layer)
 {
 	return layers[layer];	
 }
 
-void S::FeedForwardNetwork::addLayer(int neurons)
+void FeedForwardNetwork::addLayer(int neurons)
 {
 	layers.push_back(new Layer(neurons));
 }
 
-S::Layer::Layer(int a):neurons()
+Layer::Layer(int a):neurons()
 {
 	while(a--)
 	{
@@ -41,7 +43,7 @@ S::Layer::Layer(int a):neurons()
 	}
 }
 
-S::Layer::~Layer()
+Layer::~Layer()
 {
 	for(Neuron *n:neurons)
 	{
@@ -50,7 +52,7 @@ S::Layer::~Layer()
 }
 
 
-S::Solution S::Layer::solve(const std::vector<bool> &input)
+Solution Layer::solve(const std::vector<bool> &input)
 {
 	std::vector <bool> ret;
 	for(Neuron *n:neurons)
@@ -60,7 +62,7 @@ S::Solution S::Layer::solve(const std::vector<bool> &input)
 	return ret;
 }
 
-S::Neuron* S::Layer::operator[](int neuron) const
+Neuron* Layer::operator[](int neuron) const
 {
 	return neurons[neuron];
 }

src/NeuronNetwork/Network.h

@@ -1,19 +1,22 @@
-#ifndef _NN_H_
-#define _NN_H_
+#ifndef _S_NN_NN_H_
+#define _S_NN_NN_H_
 
 #include "Problem"
 #include "Solution"
 #include "Neuron"
+
 #include <cstdarg>
 #include <vector>
 
-namespace S
+namespace Shin
+{
+namespace NeuronNetwork
 {
 	class Network
 	{
 		public:
-			virtual Solution solve(const S::Problem&)=0;
-			virtual void learn(const S::Problem & p, const S::Solution &s)=0;
+			virtual Solution solve(const Problem&)=0;
+			virtual void learn(const Problem & p, const Solution &s)=0;
 		protected:
 		private:
 	};
@@ -41,12 +44,12 @@ namespace S
 	class FeedForwardNetwork : public ACyclicNetwork
 	{
 		public:
-
 			 template<typename... Args>inline FeedForwardNetwork(Args &&... args) {pass((addLayer(args),1)...);};
 			 //inline FeedForwardNetwork(std::vector<int> q);
 			~FeedForwardNetwork();
-			virtual Solution solve(const S::Problem& p) override;
-			virtual void learn(const S::Problem & p, const S::Solution &s) override;
+	
+			virtual Solution solve(const Problem& p) override;
+			virtual void learn(const Problem & p, const Solution &s) override;
 			const Layer* operator[](int layer);
 		protected:
 			template<typename... Args> inline void pass(Args&&...) {};
@@ -57,5 +60,6 @@ namespace S
 			std::vector<Layer*> layers;
 	};
 
+}
 }
 #endif	

src/NeuronNetwork/Neuron.cpp

@@ -1,22 +1,22 @@
 #include "./Neuron"
 
-#include <iostream>
+using namespace Shin::NeuronNetwork;
 
-S::Neuron::Neuron(): potential(1),weights()
+Neuron::Neuron(): potential(1),weights()
 {
 	
 }
-double S::Neuron::getPotential() const
+double Neuron::getPotential() const
 {
 	return potential;
 }
 
-void S::Neuron::setPotential(double p)
+void Neuron::setPotential(double p)
 {
 	potential=p;
 }
 
-double S::Neuron::getWeight(unsigned int i) const
+double Neuron::getWeight(unsigned int i) const
 {
 	if(i >= weights.size())
 	{
@@ -25,7 +25,7 @@ double S::Neuron::getWeight(unsigned int i) const
 	return weights[0];
 }
 
-void S::Neuron::setWeight(unsigned int i,double p)
+void Neuron::setWeight(unsigned int i,double p)
 {
 	if(i >= weights.size())
 	{
@@ -36,7 +36,7 @@ void S::Neuron::setWeight(unsigned int i,double p)
 	weights[i]=p;
 }
 
-bool S::Neuron::activates(std::vector<bool> input)
+bool Neuron::activates(std::vector<bool> input)
 {
 	double sum=0;
 	for(unsigned int i=0;i<input.size();i++)

src/NeuronNetwork/Neuron.h

@@ -1,9 +1,12 @@
-#ifndef _NEURON_H_
-#define _NEURON_H_
+#ifndef _S_NN_NEURON_H_
+#define _S_NN_NEURON_H_
 
 #include <vector>
 
-namespace S{
+namespace Shin
+{
+namespace NeuronNetwork
+{
 	class Neuron
 	{
 		public:
@@ -22,4 +25,5 @@ namespace S{
 	{
 	};
 }
+}
 #endif

src/NeuronNetwork/Problem.cpp

@@ -0,0 +1,13 @@
+#include "Problem"
+
+using namespace Shin::NeuronNetwork;
+
+Problem::Problem()
+{
+
+}
+
+Problem::operator std::vector<bool>() const
+{
+	return representation();
+}

src/NeuronNetwork/Problem.h

@@ -3,7 +3,9 @@
 
 #include <vector>
 
-namespace S
+namespace Shin
+{
+namespace NeuronNetwork
 {
 	class Problem
 	{
@@ -15,5 +17,5 @@ namespace S
 		private:
 	};
 }
-
+}
 #endif

src/NeuronNetwork/Solution.cpp

@@ -0,0 +1,23 @@
+#include "./Solution"
+
+using namespace Shin::NeuronNetwork;
+
+Solution::Solution(std::vector<bool>solution):solution(solution)
+{
+
+}
+
+bool Solution::operator[](int pos)
+{
+	return solution[pos];
+}
+
+int Solution::size()
+{
+	return solution.size();
+}
+
+Solution::operator std::vector<bool>()
+{
+	return solution;
+}

src/NeuronNetwork/Solution.h

@@ -4,7 +4,9 @@
 #include <vector>
 #include "Problem"
 
-namespace S
+namespace Shin
+{
+namespace NeuronNetwork
 {
 	class Solution
 	{
@@ -17,5 +19,6 @@ namespace S
 			std::vector<bool> solution;
 	};
 }
+}
 
 #endif

src/Problem.cpp

@@ -1,11 +0,0 @@
-#include "Problem"
-
-S::Problem::Problem()
-{
-
-}
-
-S::Problem::operator std::vector<bool>() const
-{
-	return representation();
-}

src/Solution.cpp

@@ -1,21 +0,0 @@
-#include "./Solution"
-
-S::Solution::Solution(std::vector<bool>solution):solution(solution)
-{
-
-}
-
-bool S::Solution::operator[](int pos)
-{
-	return solution[pos];
-}
-
-int S::Solution::size()
-{
-	return solution.size();
-}
-
-S::Solution::operator std::vector<bool>()
-{
-	return solution;
-}