darkseed

/*
Copyright 2012 Twitter, Inc.
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
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and

darkseed

import breeze.linalg._
import breeze.stats._
import scala.math.sqrt


/**
 * Effecient for sparse vectors. Scales in O(activeSize)
 */
// Must take SparseVector, for implicits to be linked correctly
def pearson(a: SparseVector[Double], b: SparseVector[Double]): Double = {

darkseed

// genrate all combinations of integers in range from 0 to `len`-1
// fast as fuck
def combIdxs(len: Int, k: Int): Iterator[Array[Int]] = {
  val arr = Array.range(0, k)
  arr(k-1) -= 1
  val end = k-1
  
  Iterator.continually {
    arr(end) += 1
    if (arr(end) >= len) {

darkseed

// min-hash

val fs: Vector[Int => Int] // hash funkce

items map { it => fs map { f => f(it) } } fold (vectorPairwise(min), initialValue = Vector.fill(infinity))



// HyperLogLog

darkseed

import breeze._
import breeze.linalg._
import breeze.numerics._
import java.awt.image.BufferedImage
import javax.imageio.ImageIO

val f = ???
val img = javax.imageio.ImageIO.read(new File(f))
val gray = new BufferedImage(img.getWidth, img.getHeight, BufferedImage.TYPE_BYTE_GRAY)
val g = gray.createGraphics()

darkseed

import breeze.linalg._
import breeze.stats
import breeze.numerics._

val dataFile = new File(???)
val userItems: Array[SparseVector[Double]] = loaderUserItemsWithRatings(dataFile, """[ ,:]""".r)
val itemUsers: Array[SparseVector[Double]] = transpose(userItems) map { vec => normalize(vec, 2) }

// weights
val N = DenseVector.fill[Double](itemIndex.size)(userIndex.size) // vector where total numbers of users is repeated

darkseed

package breeze.linalg.functions

import breeze.generic.UFunc
import breeze.linalg.{SparseVector, DenseVector}
import breeze.numerics.sqrt

/**
 * A weighted Euclidean distance function implementation
 */
object weightedEuclideanDistance extends UFunc {

darkseed

def durationFromMillisToHumanReadable(duration: Long):String = {
    val milliseconds  =  duration % 1000L
    val seconds       = (duration / 1000L) % 60L
    val minutes       = (duration / (1000L*60L)) % 60L
    val hours         = (duration / (1000L*3600L)) % 24L
    val days          = (duration / (1000L*86400L)) % 7L
    val weeks         = (duration / (1000L*604800L)) % 4L
    val months        = (duration / (1000L*2592000L)) % 52L
    val years         = (duration / (1000L*31556952L)) % 10L
    val decades       = (duration / (1000L*31556952L*10L)) % 10L

darkseed

#!/bin/bash
##################################################################################################################
#Gatling scale out/cluster run script:
#Before running this script some assumptions are made:
#1) Public keys were exchange inorder to ssh with no password promot (ssh-copy-id on all remotes)
#2) Check  read/write permissions on all folders declared in this script.
#3) Gatling installation (GATLING_HOME variable) is the same on all hosts
#4) Assuming all hosts has the same user name (if not change in script)
##################################################################################################################

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#!/usr/bin/env bash

# Assuming OS X Yosemite 10.10.4

# Install XCode and command line tools
# See https://itunes.apple.com/us/app/xcode/id497799835?mt=12#
# See https://developer.apple.com/library/mac/documentation/Darwin/Reference/ManPages/man1/xcode-select.1.html
xcode-select --install