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#!/bin/bash
# using: bash-artifactxml-gen.sh my.project.folder
#
ROOTFOLDER=$*
#set src dir
SRCDIR=$ROOTFOLDER'/src/';
#cd to src dir
cd $SRCDIR;
#start gen artifact.xml
echo '<?xml version="1.0" encoding="UTF-8"?><artifacts>';

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PRODUCT_HOME="$1"
IOS_CERTS="$2"
IP="$3"
PRODUCT_CONF="$4"
CONFIG_FILE="./openssl_custom.cnf"
TEMP_FOLDER="./temp"
PUSH_CERT="`echo $IOS_CERTS`pushcert.pfx"
PUSH_PASS=""
MDM_CERT="`echo $IOS_CERTS`PlainCert.pfx"
MDM_PASS=""

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Install Docker for Mac (http://beta.docker.com)

Install docker-machine-driver-xhyve (https://github.com/zchee/docker-machine-driver-xhyve)

brew install docker-machine-driver-xhyve
sudo chown root:wheel $(brew --prefix)/opt/docker-machine-driver-xhyve/bin/docker-machine-driver-xhyve
sudo chmod u+s $(brew --prefix)/opt/docker-machine-driver-xhyve/bin/docker-machine-driver-xhyve

Deploy the latest release

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app.directive("contenteditable", ['$rootScope', function ($rootScope) {
    return {
        restrict: "A",
        link: function (scope, element, attrs) {
            var content = '';

            element.bind("blur keyup change focus", function (event) {
                content = element.html();
                $rootScope.editableContent = content;
            });

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import { Component } from '@angular/core';
import { DynamicHTMLDirective } from './dynamic-html.directive';

@Component( {
    selector: 'main-layer',
    directives: [ DynamicHTMLDirective ],
    template: '<dynamic-html-wrap [src]="data"></dynamic-html-wrap>'
} )
export class AppComponent {
    public data: string = '<something></something>';

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Number.prototype.mod = function(n) {
  return ((this%n)+n)%n;
}

// support for adding/subtracting business days for Javascript dates
Date.prototype.addBusinessDays = function(days) {
	days = parseInt(days);
	var wks = Math.floor(days/5);
	var dys = days.mod(5);
	var dy = this.getDay();

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#Rscript processModel.R
#http://rpackages.ianhowson.com/cran/NeuralNetTools/man/olden.html
#https://cran.r-project.org/web/packages/nnet/nnet.pdf
library(NeuralNetTools)
library(h2o)
library(jsonlite)

model_id <- 'deeplearning-f168835d-9e6e-4170-b881-fb5f214f302b'

localH2O <- h2o.init()

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from glob import iglob
import pandas as pd

files = sorted(iglob('*.csv'))
frames = [ pd.read_csv(f) for f in files ]
result = pd.concat(frames)
final_csv = result.to_csv('./final.csv')

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$records = Import-Csv BadResults.csv

foreach($record in $records){
	$xml = new-object System.Xml.XmlDocument
	$fraudScore = $record.FraudScoreDetails
	$xml.LoadXml($fraudScore)
	foreach ($i in $xml.response.rule){
		#Write-Output $i.criteriaEvaluated
		#Write-Output $i.evaluationResult
		$record | Add-Member NoteProperty $i.criteriaEvaluated $i.evaluationResult

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#!/bin/bash

if [ "$1" = "-h" -o "$1" = "--help" -o -z "$1" ]; then cat <<EOF
appify v3.0.1 for Mac OS X - http://mths.be/appify
Creates the simplest possible Mac app from a shell script.

Appify takes a shell script as its first argument:

    `basename "$0"` my-script.sh