dedeco

from collections import defaultdict


def count_anagram(str):
    subs = defaultdict(int)
    for i in range(len(str)):
        for j in range(1, len(str) + 1):
            if j > i:
                subs[''.join(sorted(str[i:j]))] += 1
    print(subs)

dedeco

defmodule Poll do
  defstruct candidates: []

  #Public API
  def start_link() do
    poll = %Poll{}
    spawn_link(Poll, :run, [poll])
  end

  def exit(pid) when is_pid(pid) do

dedeco

def parity(x):
    result = 0
    while x:
        result ^= x & 1
        x >>= 1
    return result


if __name__ == "__main__":
    print(parity(42))

dedeco

def count_bits(x):
    qty_ones = 0
    while x:
        qty_ones += x & 1
        x >>= 1
    return qty_ones


if __name__ == "__main__":
    print(count_bits(13))

dedeco

"""
    ['Tokyo', 'London', 'Rome', 'Donlon', 'Kyoto', 'Paris']

    // YOUR ALGORITHM

    [
        [ 'Tokyo', 'Kyoto' ],
        [ 'London', 'Donlon' ],
        [ 'Rome' ],
        [ 'Paris' ]

dedeco

# -*- coding: utf-8 -*-
import argparse
import collections
import copy
import datetime
import dateutil.parser
import json
from urllib import request, parse

dedeco

package com.example.jobs;

import java.util.ArrayList;
import java.util.Arrays;

public class job {
    public static void main(String[] args) {
        ArrayList<ArrayList<String>> candidates = new ArrayList<ArrayList<String>>();
        String[] vaga = { "Java8", "Spring", "NoSQL", "Cloud", "Docker", "UnitTests", "TDD" };

dedeco

import logging
import threading
import time

"""
3.5  Multiplex

Puzzle: Generalize the previous solution so that it allows multiple threads to run in the critical section at the same time,
but it enforces an upper limit on the number of concurrent threads. 
 

dedeco

import logging
import threading
import time

"""
3.4  Mutex

A second common use for semaphores is to enforce mutual exclusion. 

We have al-ready seen one use for mutual exclusion, controlling concurrent access to sharedvariables. 

dedeco

# More Info: http://davydany.com/post/32287214449/matplotlibs-basemap-plotting-a-list-of-latitude
    def show_map(self, a):
 
        # 'a' is of the format [(lats, lons, data), (lats, lons, data)... (lats, lons, data)]
        lats = [ x[0] for x in a ]
        lons = [ x[1] for x in a ]
        data = [ x[2] for x in a ]
         
        lat_min = min(lats)
        lat_max = max(lats)