*
 * <p>If you are unfamiliar with Bloom filters, this nice <a
 * href="http://llimllib.github.io/bloomfilter-tutorial/">tutorial</a> may help you understand how
 * they work.
 *
 * <p>The false positive probability ({@code FPP}) of a Bloom filter is defined as the probability
 * that {@linkplain #mightContain(Object)} will erroneously return {@code true} for an object that

        Model target = Model.newBuilder().artifactId("TARGET").build();

        Model source = Model.newBuilder().artifactId("SOURCE").build();

        Model merged = mavenMerger.merge(target, source, true, null);
        assertThat(merged.getArtifactId(), is("SOURCE"));

        merged = mavenMerger.merge(target, source, false, null);
        assertThat(merged.getArtifactId(), is("TARGET"));
    }

    @Test

/*
 * © 2017 AgNO3 Gmbh & Co. KG
 * 
 * This library is free software; you can redistribute it and/or
 * modify it under the terms of the GNU Lesser General Public
 * License as published by the Free Software Foundation; either
 * version 2.1 of the License, or (at your option) any later version.
 * 
 * This library is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of

// Copyright (c) 2015-2021 MinIO, Inc.
//
// This file is part of MinIO Object Storage stack
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful

            docker volume rm ${volume} || true
          done

          docker rmi -f quay.io/minio/minio:${{ steps.vars.outputs.sha_short }}
          docker system prune -f || true
          docker volume prune -f || true

        assertEquals("", normalizeText("  ", 100, 2, -1, true));
        assertEquals("", normalizeText("\t", 100, 2, -1, true));
        assertEquals("", normalizeText("\t\t", 100, 2, -1, true));
        assertEquals("", normalizeText("\t \t", 100, 2, -1, true));
        assertEquals("12 ab", normalizeText(" 123 abc ", 100, 2, -1, true));
        assertEquals("１２３ あいう", normalizeText("　１２３　あいう　", 100, 2, -1, true));

Cette image est dotée d'un mécanisme d'"auto-tuning", de sorte qu'il vous suffit d'ajouter votre code pour obtenir automatiquement des performances très élevées. Et sans faire de sacrifices.

Mais vous pouvez toujours changer et mettre à jour toutes les configurations avec des variables d'environnement ou des fichiers de configuration.

/// tip | "Astuce"

 * Copyright (C) 2005  "Michael B. Allen" <jcifs at samba dot org>
 *                  "Eric Glass" <jcifs at samba dot org>
 * 
 * This library is free software; you can redistribute it and/or
 * modify it under the terms of the GNU Lesser General Public
 * License as published by the Free Software Foundation; either
 * version 2.1 of the License, or (at your option) any later version.
 * 

-XX:G1MaxNewSizePercent=30\n\
-Dio.netty.noUnsafe=true\n\
-Dio.netty.noKeySetOptimization=true\n\
-Dio.netty.recycler.maxCapacityPerThread=0\n\
-Dlog4j.shutdownHookEnabled=false\n\
-Dlog4j2.disable.jmx=true\n\
-Dlog4j2.formatMsgNoLookups=true\n\
-Dlog4j.skipJansi=true\n\


jvm.thumbnail.options=\
-Djava.awt.headless=true\n\
-Dfile.encoding=UTF-8\n\
-Djna.nosys=true\n\
-Djdk.io.permissionsUseCanonicalPath=true\n\

                    "parameters": [
                        {
                            "required": True,
                            "schema": {
                                "title": "Query",
                                "uniqueItems": True,
                                "type": "array",
                                "items": {"type": "integer"},
                            },