thomasdarimont

package de.tutorials.training.testing;

import static org.junit.Assert.*;

import java.util.Locale;

import org.junit.Test;

public class ToUpperCaseInTurkeyLocaleTests {

thomasdarimont

//In org.springframework.data.repository.query.parser.

private static final Pattern PREFIX_TEMPLATE = Pattern
  		.compile("^(find|read|get|count)((\\p{Lu}|\\P{M}\\p{M}*+).*?)??By");
	private static final String KEYWORD_TEMPLATE = "(%s)(?=(\\p{Lu}|\\P{M}\\p{M}*+))";

thomasdarimont

package lombok.experimental;

import java.lang.annotation.ElementType;
import java.lang.annotation.Retention;
import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;

@Target(ElementType.ANNOTATION_TYPE)
@Retention(RetentionPolicy.SOURCE)
public @interface AnnotationMixin {

thomasdarimont

package de.tutorials.training.java8.lambda;

import java.util.stream.IntStream;

import static java.lang.Math.*;
import static java.util.concurrent.ThreadLocalRandom.*;

/**
 * Author: Thomas Darimont
 */

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/*
 * Copyright 2013 the original author or authors.
 *
 * 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

thomasdarimont

/*
 * Copyright 2013 the original author or authors.
 *
 * 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

thomasdarimont

/**
	 * @see DATAMONGO-686
	 */
	@SuppressWarnings("serial")
	@Test
	public void thereShouldBeNoRaceConditionWhenReusingQueryFromMultipleThreads() throws Exception {

		Query query = new Query().addCriteria(where("_id").in("42"));

		final CountDownLatch latch = new CountDownLatch(1);

thomasdarimont

package de.jugsaar.meeting8.testing.junit.poc;

import org.junit.Assert;
import org.junit.ClassRule;
import org.junit.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.test.context.ContextConfiguration;
import org.springframework.test.context.support.AnnotationConfigContextLoader;

thomasdarimont

1. General Background and Overview

• Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
• Models and Issues in Data Stream Systems
• Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
• Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
• [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep

thomasdarimont

using System;
using System.Collections.Generic;
using System.Diagnostics;
using System.Linq;
using System.Text;
using System.Threading;
using System.Threading.Tasks;

namespace ConcurrencyExamples
{