hamishmorgan

package hiam.polyjson;

import com.fasterxml.jackson.annotation.JsonSubTypes;
import com.fasterxml.jackson.annotation.JsonTypeInfo;

@JsonTypeInfo(use = JsonTypeInfo.Id.NAME, include = JsonTypeInfo.As.PROPERTY, property = "type")
@JsonSubTypes({@JsonSubTypes.Type(Dog.class), @JsonSubTypes.Type(Cat.class)})
public abstract class Animal {
}

hamishmorgan

10 10
5
3 0
3 1
3 2
4 1
5 1

hamishmorgan

__author__ = 'hiam20'

import time
import collections
import threading

import concurrent.futures

INSTANTIATION_TIME = 0.5
EXECUTION_TIME = 0.002

hamishmorgan

*.pbxproj -crlf -diff -merge

hamishmorgan

# Update your login script with some defaults

touch ~/.profile
chmod +x ~/.profile
echo "module load python/2.7.2" >> ~/.profile
echo "export PATH=$PATH:~/.local/bin"  >> ~/.profile
~/.profile

# Install setup-tools locally 

hamishmorgan

public class TestArrayListRemove {

    public void testArrayListRemove() {

        // First lets create an ArrayList contain some words that are awesome.

        ArrayList<String> coolWords = new ArrayList<String>();
        coolWords.add("Discombobulated");
        coolWords.add("Shananigans");
        coolWords.add("Fluffalufapotamus");

hamishmorgan

import java.util.Random;

import static java.text.MessageFormat.format;

/**
 * http://www.reddit.com/r/dailyprogrammer/comments/10pf0j/9302012_challenge_102_easy_dice_roller/
 */
public class Main {

hamishmorgan

# A quick demo of how to produce a loglog histogram plot of very large
# amounts of data, by using log-histogram bins

import numpy as np
import matplotlib.pyplot as plt
import itertools as it

# We shall draw millions of samples from a Zipf distribution.  Using linear 
# bins this is too much data for a fast and attactive plot.