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var count = 0
var totalTime = 0L

fun test() {
  val start = System.currentTimeMillis()

  val x = (1L..5000000L) map {it * 40} reduce {a,b -> (a*b)%19 + 1}

  val end = System.currentTimeMillis()

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## call sha1sum and check whether the hash matches
## Syntax: sha1check <hash> <filename>
## Just copy paste the follow line into ~/.zshrc or ~/.bashrc

function sha1check() { echo $1  $2 | sha1sum -c; }

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#!/bin/bash

# Call with a percentage value from 0 to 100
# 0 means only red and green, 50 means half of blue is shown through
# if you don't give any arguments the calibration is cleared

if [[ -z "$1" ]]; then
  echo Clearing all calibrations
  xcalib -clear
else

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import bpy
import mathutils

C = bpy.context

def insertKeyFrames(obj, curve):
    points = curve.data.splines[0].points
    duration = curve.data.path_duration
    N = len(points)
    framesPerPoint = duration / (N-1)

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import java.util.Arrays

object Util {
  import concurrent._
  import ExecutionContext.Implicits.global
  def par(f1 : => Unit, f2 : => Unit) {
    val fut1 = future { f1 }
    val fut2 = future { f2 }
    Await.ready(fut1.zip(fut2), duration.Duration.Inf)
  }

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package properties

import org.eclipse.xtend.lib.macro.AbstractClassProcessor
import org.eclipse.xtend.lib.macro.Active
import org.eclipse.xtend.lib.macro.TransformationContext
import org.eclipse.xtend.lib.macro.declaration.MutableClassDeclaration

import static extension properties.ASTExtensions.*

/**

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#!/bin/bash

# Call with a percentage value from 0 to 100
# 0 means only red, 50 means half of green and blue is shown through
# if you don't give any arguments the calibration is cleared

if [[ -z "$1" ]]; then
  echo Clearing all calibrations
  xcalib -clear
else

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  def beEqui(to: collection.GenSeq[xml.Node]) = new Matcher[collection.GenSeq[xml.Node]] {
    def apply(left: collection.GenSeq[xml.Node]) = {
      val flatLeft = flatten(left)
      val flatTo = flatten(to)
      MatchResult(
        flatLeft == flatten(to),
        "xmls were not equivalent:\n%s and\n%s" format (flatLeft, flatTo),
        "xmls were equivalent:\n%s and\n%s" format (flatLeft, flatTo))

    }

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#!/usr/bin/env python
# -*- coding: utf8 -*-
from flask import Flask, redirect, url_for
from markdown import markdown
import os
import re


# create the app
# TODO: load config/template from files, with fallbacks

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LogShark is a simple utility to collect logs from an Android device using a PC.

I created this to help Android developers collect information from their app's users. This information can be very useful for debugging purposes.

From Android version 4.1 (Jelly Bean) onwards, it has become difficult to collect this information through the device itself. Hence the need for an app that runs on the PC.

Note that the collection of information is entirely voluntary. Moreover, the user can (and should) review the information before sending it to developers or other people.

Pre-requisites