package genetic;

import java.util.Random;

//Genetic Algorithm, Evolving Shakespeare
//Daniel Shiffman <http://www.shiffman.net>

//A class to describe a psuedo-DNA, i.e. genotype
//Here, a virtual organism's DNA is an array of character.
//Functionality:
//-- convert DNA into a string
//-- calculate DNA's "fitness"
//-- mate DNA with another set of DNA
//-- mutate DNA

//Created 2 May 2005

class DNA {

//	The genetic sequence
	char[] dna;

//	Constructor (makes a random DNA)
	DNA(int num) {
		dna = new char[num];
		for (int i = 0; i < dna.length; i++) {
			dna[i] =pickChar();  // Pick from range of chars
		}
	}

//	Constructor #2, creates the instance based on an existing character array
	DNA(char[] newdna) {
		dna = (char []) newdna.clone();
	}

//	Converts character array to a String
	String getString() {
		return new String(dna);
	}

//	Fitness function (returns floating point % of "correct" characters)
	float fitness (String target) {
		int score = 0;
		for (int i = 0; i < dna.length; i++) {
			if (dna[i] == target.charAt(i)) {
				score++;
			}
		}
		float fitness = (float)score / (float)target.length();
		return fitness;
	}

//	Returns one element from char array 
	char getDNA(int index) {
		return dna[index];
	}

//	Crossover
	DNA mate(DNA partner) {
		// A new child
		char[] child = new char[dna.length];
		int crossover = (int)(Math.random()*dna.length); // Pick a midpoint
		// Half from one, half from the other
		for (int i = 0; i < dna.length; i++) {
			if (i > crossover) child[i] = dna[i];
			else               child[i] = partner.getDNA(i);
		}
		// make a new DNA object
		DNA newdna = new DNA(child);
		return newdna;
	}

//	Based on a mutation probability, picks a new random character
	void mutate(float m) {
		for (int i = 0; i < dna.length; i++) {
			if (Math.random() < m) {
				dna[i] = pickChar();
			}
		}
	}
	
	char pickChar() {
		return (char) (Math.random()*96+32);
	}
	
	
}