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Learn Git and GitHub without any code!
Using the Hello World guide, you’ll create a repository, start a branch, 
write comments, and open a pull request.

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// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

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Wittmeyer's pseudoinverse iterative algorithm is formulated
Multiple-Phased Systems, whose operational life can be partitioned in a set of disjoint periods, called A?phasesA?; include several classes of systems such as Phased Mission Systems and Scheduled Maintenance Systems.
Because of their deployment in critical applications, the dependability modeling and analysis of Multiple-Phased Systems is a task of primary relevance.
However, the phased behavior makes the analysis of Multiple-Phased Systems extremely complex.
This paper is centered on the description and application of DEEM, a dependability modeling and evaluation tool for Multiple Phased Systems.
DEEM supports a powerful and efficient methodology for the analytical dependability modeling and evaluation of Multiple Phased Systems, based on Deterministic and Stochastic Petri Nets and on Markov Regenerative Processes.
As a first step toward realizing a dynamical system that evolves while spontaneously determining its own rule for time evolution, f

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#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals, print_function
import fileinput
from itertools import groupby, imap


def ngrams(words):
    for length in range(1, 5 + 1):
        for ngram in zip(*(words[i:] for i in range(length))):

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