renzon

print('a')

print('b')

renzon

import java.io.IOException;
import javax.servlet.Filter;
import javax.servlet.FilterChain;
import javax.servlet.FilterConfig;
import javax.servlet.ServletException;
import javax.servlet.ServletRequest;
import javax.servlet.ServletResponse;
import javax.servlet.annotation.WebFilter;

renzon

from itertools import chain

ciclos=3

x=2
y=2


gerador=(x+y*n for i in range(ciclos)
  for n in chain(range(1,6), range(5,0,-1)))

renzon

from collections import defaultdict
import json

json_str = '''[{ "metodo": "metodo1()", "statements": 134},
{ "metodo": "metodo2()", "statements": 124},
{ "metodo": "metodo3()", "statements": 110},
{ "metodo": "metodo3()", "statements": 228},
{ "metodo": "metodo4()", "statements": 50}]'''

lst = json.loads(json_str)

renzon

from collections import Counter
from unittest.case import TestCase


def is_anagram(word1, word2):
    def extract_counter(word):
        counter = Counter(filter(lambda char: char != ' ', word))
        return counter

    counter1 = extract_counter(word1)

renzon

def _le(left, right):
    return left if left <= right else right


def merge(left, right, cmp=_le):
    """
    Merges two ordered iterables (left and right) keeping result ordered according to cmp.

    :param left: iterable
    :param right: iterable

renzon

class Mensageiro():
    def __init__(self):
        self.lista_canal = []
        self.lista_remetente = []
        
    def adicionar_canal(self, canal):
        self.lista_canal.append(canal)
        
    def adicionar_remetente(self, remetente):
        self.lista_remetente.append(remetente)

renzon

import numpy as np


class Perceptron:
    """
    Implementa o Perceptron Learning Algorithm
    """

    w = None

renzon

Testes de Perceptron

Deve ser possível criar um Perceptron::

>>> from perceptron import Perceptron >>> perceptron = Perceptron()

O w deve ser construido corretamente::

>>> x = [[1,2], [6,7], [1,1], [1,2], [7, 7]]

renzon

dct = {'gripe': set(('tosse', 'febre')), 'dengue': set(('tosse', 'dor de cabeça'))}

sintomas_paciente=set(('tosse', 'febre'))

doencas_probabilidade={doenca: (sintomas_paciente & sintomas_doenca) for doenca,sintomas_doenca in dct.items() }
print(doencas_probabilidade)
print(sorted([(len(sintomas), doenca) for doenca,sintomas in doencas_probabilidade.items()]))