NicolleLouis

#!/usr/bin/python3.5
# -*-coding:Utf-8 -*

import random
import operator
import time
import matplotlib.pyplot as plt

temps1 = time.time()

josephmisiti

"""
helloevolve.py implements a genetic algorithm that starts with a base
population of randomly generated strings, iterates over a certain number of
generations while implementing 'natural selection', and prints out the most fit
string.

The parameters of the simulation can be changed by modifying one of the many
global variables. To change the "most fit" string, modify OPTIMAL. POP_SIZE
controls the size of each generation, and GENERATIONS is the amount of 
generations that the simulation will loop through before returning the fittest

iminurnamez

#This code is licensed as CC0 1.0 (https://creativecommons.org/publicdomain/zero/1.0/legalcode).

import sys
import pygame as pg


class Game(object):
    """
    A single instance of this class is responsible for 
    managing which individual game state is active

mogsdad

Google Calendar Utilities

getEventsWithGuest

Gets all events that occur within a given time range, and that include the specified guest email in the guest list.

###Parameters:###