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#include <stdio.h>

void printArray(int * array, int size){
  
  int i;
  printf("[ ");
  for (i = 0; i < size; i++)
    printf("%d ", array[i]);
  printf("]\n");
}

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CryptoJS.enc.u8array = {

    stringify: function (wordArray) {
        var words = wordArray.words;
        var sigBytes = wordArray.sigBytes;
        var u8 = new Uint8Array(sigBytes);
        for (var i = 0; i < sigBytes; i++) {
            var byte = (words[i >>> 2] >>> (24 - (i % 4) * 8)) & 0xff;
            u8[i]=byte;
        }

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commands:

  01_install_yarn:
    command: "sudo wget https://dl.yarnpkg.com/rpm/yarn.repo -O /etc/yum.repos.d/yarn.repo && curl --silent --location https://rpm.nodesource.com/setup_6.x | sudo bash - && sudo yum install yarn -y"
  02_download_nodejs:
    command: "curl --silent --location https://rpm.nodesource.com/setup_8.x | sudo bash -"
  03_install_nodejs:
    command: "yum -y install nodejs"
  04_mkdir_webapp_dir:
    command: "mkdir /home/webapp"

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/**
 * Producer-Comsumer example, written in C++ May 4, 2014
 * Compiled on OSX 10.9, using:
 * g++ -std=c++11 producer_consumer.cpp
 **/

#include <iostream>           
#include <thread>             
#include <mutex>              
#include <condition_variable> 

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# Resume UUID set to enable hybernation, will write RAM to swap                 
GRUB_CMDLINE_LINUX_DEFAULT="resume=UUID=<PARTITION UUID> loglevel=3 quiet"

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[Sleep]
suspend=suspend-then-hibernate
HibernateState=disk
# Suspend then Hibernate after 45 min
HibernateDelaySec=2700

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[Login]
HandlePowerKey=suspend-then-hibernate
HandleLidSwitch=suspend-then-hibernate

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[Unit]
Description=Powertop tunings

[Service]
Type=oneshot
ExecStart=/usr/bin/powertop --auto-tune

[Install]
WantedBy=multi-user.target

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publication_title = bs.find('invention-title').text
publication_num = bs['file'].split("-")[0]
publication_date = bs.find('publication-reference').find('date').text
application_type = bs.find('application-reference')['appl-type']

classifications = []
for classes in bs.find_all('classifications-ipcr'):
    for el in classes.find_all('classification-ipcr'):
        cclassifications.append(el.find('section').text 
                                + el.find('class').text

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# Load USPTO .xml document
xml_text = html.unescape(open(filename, 'r').read())
	
# Split out patent applications / grants
for patent in xml_text.split("<?xml version=\"1.0\" encoding=\"UTF-8\"?>"):
  
  # Skip if it doesn't exist
  if patent is None or patent == "":
    continue