derjust

Integrate plantuml in reveal-md

This is how to integrate plantuml scripts in you reveal-md presentations.

Download the preproc.js from below to your project and replace the plantuml server url with your plantuml server.
Also replace the plantumlDir with your target dir for the generated png files.
Run reveal-md with the preproc.js:

reveal-md slides.md --preprocessor preproc.js

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fn main() {
    println!("Hello World!");
}

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package de.zeeman.welp;

import java.util.List;

import com.google.common.collect.ImmutableList;
import org.apache.flink.api.common.functions.ReduceFunction;
import org.apache.flink.fs.s3base.shaded.org.joda.time.DateTime;
import org.apache.flink.streaming.api.datastream.DataStream;
import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator;
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;

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//
// from http://waffle.codeplex.com/workitem/10034
//

package waffle.servlet.spi;

import java.io.IOException;
import java.security.Principal;
import java.util.Date;
import java.util.Enumeration;

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package patty;

import java.util.Iterator;
import java.util.Vector;

public class HugeInteger {

	private boolean sign;
	//TODO Vector is a super-outdated class..
	private Vector<Integer> vector;

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package assignment2;

public class ParkingMeter {

  private int maxParkingInMinutes;
  /** rate as in minutes per quarter */
  private int rate;
  private int time;

  public ParkingMeter(int pMaxParkingInMinutes, int pRate) {

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Keybase proof

I hereby claim:

• I am derjust on github.
• I am zeeman (https://keybase.io/zeeman) on keybase.
• I have a public key ASAQKeiBHBRefp2uwanE5uxQNRwopmf5TFJ5Jb_tNw-ANgo

To claim this, I am signing this object:

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package com.sungard.advtech;

import com.google.cloud.dataflow.sdk.Pipeline;
import com.google.cloud.dataflow.sdk.options.PipelineOptions;
import com.google.cloud.dataflow.sdk.options.PipelineOptionsFactory;
import com.google.cloud.dataflow.sdk.transforms.Create;
import com.google.cloud.dataflow.sdk.transforms.DoFn;
import com.google.cloud.dataflow.sdk.transforms.ParDo;

public class LoggingPipeline {

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/*
 * Copyright 2015 Google Inc. All Rights Reserved.
 *
 * 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

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Pipeline p = Pipeline.create(options);

        final TupleTag<String> output1 = new TupleTag<String>(){};
        final TupleTag<String> output2 = new TupleTag<String>(){};

        PCollectionTuple tuples = p.apply(TextIO.Read.from("gs://dataflow-samples/shakespeare/*"))
         .apply(ParDo
        		 .withOutputTags(output1, TupleTagList.of(output2))
        		 .named("ExtractWords").of(new DoFn<String, String>() {
                           private static final long serialVersionUID = 0;