MagallanesFito

/*This is a helper function, returns 10**exp 
*/   
public static int power_ten(int exp){
        if(exp == 0) return 1;
        else return 10*power_ten(exp-1);
    }
/*
Given two strings, representing integers, calculate their product. 
This works approximately quadratic time, considering the number of digits in both s1 and s2 are equal. 
*/

MagallanesFito

public static int[] firstQPrimes(int q) {
        /*
         * Write your code here.
         */
        // Generar primeros q numeros primos con la criba de atkin
        //hay 1229 numeros primos entre 1 y 10000
        int limit = q;
        boolean sieve[] = new boolean[limit];
        if(limit > 2) sieve[2] = true;
        if(limit > 3) sieve[3] = true;

MagallanesFito

# -*- coding: utf-8 -*-

''' Importar bibliotecas'''
import keras
from keras.preprocessing import image
from keras.applications.vgg16 import VGG16
from keras.applications.vgg16 import preprocess_input
from sklearn.model_selection import train_test_split
import numpy as np
from keras.models import Sequential

MagallanesFito

static int find(int x,HashMap<Integer,Integer> parent){
        if(parent.get(x) == x) return x;
        return find(parent.get(x),parent);
    }
    static int union(int x,int y,HashMap<Integer,Integer> parent, HashMap<Integer,Integer> size,int max1) {
        int x_p = find(x,parent);
        int y_p = find(y,parent);
        int max = max1;
        if(x_p != y_p){
            if(size.get(x_p) > size.get(y_p)){

MagallanesFito

class TrieNode {
    
    //left y right
    TrieNode[] children = new TrieNode[2];
    
    public void add_(int s,int bits){
        add(s,bits-1);
    }
    public TrieNode getNode(int pos){
        return children[pos];

MagallanesFito

class TrieNode{
    public static int ALPHABET_SIZE = 26;
    TrieNode[] children = new TrieNode[ALPHABET_SIZE];
    int size = 0;
    
    public int charIndex(char c){
        return c - 'a';
    }
    public TrieNode getNode(char c){
        return children[charIndex(c)];

MagallanesFito

#!/usr/bin/env python3
# -*- coding: utf-8 -*-

#Operaciones sobre diccionarios
import operator
from random import randint


#Importa el dataframe y lo guarda en un diccionario
def load_data(filename):

MagallanesFito

MagallanesFito

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
import random

DOMAIN = [-10,10]
MAX_GENERATIONS = 100
PROB_MUTATE = 0.05
POP_SIZE = 100

MagallanesFito

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