demacdolincoln

from string import ascii_uppercase as ascii_up
from random import choice, uniform
from copy import deepcopy

class Particle(object):
    def __init__(self, dim, limit_max, limit_min):
        self._position = [ord(choice(ascii_up)) for _ in range(dim)]
        self._best_posit = self._position[::]
        self._fitness = None
        self._best_fitness = None

demacdolincoln

import numpy as np
class Perceptron(object):
    '''
    Implementacao do perceptron
    '''
    def __init__(self, dimensoes):
        '''
        :dimensoes: list com o nome das variaveis de entrada
        '''
        for dim in dimensoes:

demacdolincoln

demacdolincoln

demacdolincoln

"""
dependências:
* python2
* opencv
* numpy
* matplotlib
"""

import cv2
import numpy as np

demacdolincoln

demacdolincoln

demacdolincoln

demacdolincoln

#Pkg.add("Primes")
using Primes

function genBigPrime()
    prime = 0
    while prime == 0
        #possiblePrime = rand(BigInt(1e+50):BigInt(1e+100))
        possiblePrime = Int(rand(1e+2:1e+4))
        if isprime(possiblePrime)
            prime = possiblePrime

demacdolincoln