javadba

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Hardware Information: ℹ️
    MacBook Pro (Retina, Mid 2012) (Verified)
    MacBook Pro - model: MacBookPro10,1

javadba

        val latch = new java.util.concurrent.CountDownLatch(1)
val t = new Thread() {
        override def run() = {
          var x = 1.0
          val startt = System.currentTimeMillis
          for (i <- 1 to lnLoops) {
            x = (x * math.pow(i, 1.2) * i) /
              (math.pow(x, 1.5) * math.sqrt(i) * math.max(math.abs(math.cos(x)), 0.1) * math.pow(i, 1.21))
          }
          println(s"X=$x duration=${System.currentTimeMillis-startt}")

javadba

configuration>
    <property>
      <name>dfs.datanode.data.dir</name>
      <value>/mnt/hadoop/hdfs/data</value>
      <final>true</final>
    </property>

   <property>
      <name>dfs.ha.automatic-failover.enabled</name>
      <value>true</value>

javadba

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!--
  Licensed under the Apache License, Version 2.0 (the "License");
  you may not use this file except in compliance with the License.
  You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

  Unless required by applicable law or agreed to in writing, software

javadba

# Assumes you have Sun JDK installed already and JAVA_HOME set to that for root
# This is all basically a summary of various parts of https://ccp.cloudera.com/display/CDH4DOC/CDH4+Documentation

# Add Cloudera RPM-GPG-KEY and repo
rpm --import http://archive.cloudera.com/cdh4/redhat/6/x86_64/cdh/RPM-GPG-KEY-cloudera
rpm -ivh http://archive.cloudera.com/cdh4/one-click-install/redhat/6/x86_64/cloudera-cdh-4-0.x86_64.rpm

# Install CDH4 Base
yum install hadoop-0.20-conf-pseudo

javadba

#!/bin/sh

##
# Install autoconf, automake and libtool smoothly on Mac OS X.
# Newer versions of these libraries are available and may work better on OS X
#
# This script is originally from http://jsdelfino.blogspot.com.au/2012/08/autoconf-and-automake-on-mac-os-x.html
#

export build=~/devtools # or wherever you'd like to build

javadba

def tostr(msg, inhash=locals()):
  import io
  outstr = io.StringIO()
  print(outstr, msg % inhash)
  return outstr.getvalue()

usage example:

s="Some message from %(froma)s \n on the %(day)d of %(month)s %(year)d \n Says %(message)s\n"

javadba

import numpy as np
from typing import AnyStr, Callable
AT = AnyStr

def groupby(arr: np.array, transformfn: Callable[[AT], AT], selectfn: Callable[[AT], AT] = None):
  xarr = list(map(transformfn,arr))
  keys, indx = np.unique(xarr, return_inverse=True)
  K = len(keys)
  recsByKey = list()
  for i in range(K):

javadba

// Derived from : http://blog.efftinge.de/2008/10/multi-line-string-literals-in-java.html

import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;

public class Heredoc {
    public static String S() {
        StackTraceElement element = new RuntimeException().getStackTrace()[1];

javadba

"|
"| File    : ~/.vim/plugin/cua-mode.vim
"| Source  : https://github.com/fabi1cazenave/cua-mode
"| Licence : WTFPL
"|
"| This file brings Notepad-like CTRL-ZXCV shortcuts to Vim, while preserving
"| all other Vim shortcuts -- like the CUA-mode does on Emacs:
"|           http://www.emacswiki.org/CuaMode
"|
"| It is based on Bram Molenaar's mswin.vim, g:cua_mode sets the behavior: