hello009-commits

# -*- coding=utf-8 -*-
import collections

# Usage:
#   我的做法是把WordsDetector.py里的结果输出到文件，
#   然后把文件名放到下面的names列表中，运行本程序。

names = ['name0',
         'name1',
         'name2',

hello009-commits

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

hello009-commits

For pupil: all binary can be downloaded http://pan.baidu.com/s/1ntCChyp

After overwriting, maybe need to run chmod +x /path/to/sublime_text. For linux default installation, need to add sudo.

For programmer:

VERSION	PLATFORM	OFFSET	ORIGINAL	CRACKED

hello009-commits

import scala.annotation.tailrec

object BinarySearch {
  /**
   * @param xs Sequence to search
   * @param key key to find
   * @param min minimum index (inclusive)
   * @param max maximum index (inclusive)
   * @param keyExtract function to apply to elements xs before comparing to key, defaults as identity
   * @tparam T type of elements in the sequence

hello009-commits

import ComparisonChain._
import java.io.BufferedInputStream
import java.io.BufferedOutputStream
import java.io.BufferedReader
import java.io.BufferedWriter
import java.io.Closeable
import java.io.File
import java.io.File
import java.io.FileInputStream
import java.io.FilenameFilter

hello009-commits

package org.icgc.dcc.etl.staging.function;

import static com.google.common.base.Stopwatch.createStarted;
import static com.google.common.collect.Iterables.toArray;
import static org.icgc.dcc.common.core.util.FormatUtils.formatCount;
import static org.icgc.dcc.common.core.util.FormatUtils.formatPercent;
import static org.icgc.dcc.common.core.util.Splitters.TAB;

import java.io.Serializable;
import java.util.Iterator;

hello009-commits

import org.apache.hadoop.conf.Configuration
import org.apache.hadoop.io.{LongWritable, Text}
import org.apache.hadoop.mapreduce.lib.input.{FileSplit, TextInputFormat}
import org.apache.spark.{SparkConf, SparkContext}
import org.apache.spark.rdd.NewHadoopRDD

object Program {
  def main(args: Array[String]): Unit = {
    val srcFile = "hdfs://sandbox/Numbers.txt"
    val conf = new SparkConf().setAppName("spark-numbers")

hello009-commits

import org.apache.zookeeper.server.{NIOServerCnxn, ZooKeeperServer}
import java.net.{ServerSocket, InetSocketAddress}
import kafka.server.{KafkaServer, KafkaConfig}
import kafka.producer.{ProducerConfig, Producer}
import java.util.Properties
import kafka.serializer.{DefaultEncoder, StringEncoder}
import java.io.File
import scala.util.Random
import kafka.admin.AdminUtils

hello009-commits

object Main extends App {

  val printer = new Printer[String]()
  val break = true
  val text = "access granted"
    
  //cannot be accessed:
  //printer.printCodeName
  //printer.codeName = "Rejewski"
  //printer.printCodeName

hello009-commits

I’m looking for any tips or tricks for making chrome headless mode less detectable. Here is what I’ve done so far:

Set my args as follows:

const run = (async () => {

    const args = [
        '--no-sandbox',
        '--disable-setuid-sandbox',
        '--disable-infobars',