Additional arguments to pass to minio binary extraArgs: [] ## Additional volumes to minio container extraVolumes: [] ## Additional volumeMounts to minio container extraVolumeMounts: [] ## Additional sidecar containers extraContainers: [] ## Internal port number for MinIO S3 API container ## Change service.port to change external port number minioAPIPort: "9000" ## Internal port number for MinIO Browser Console container ## Change consoleService.port to change external port number minioConsolePort: "9001"...

Additional arguments to pass to minio binary extraArgs: [] ## Additional volumes to minio container extraVolumes: [] ## Additional volumeMounts to minio container extraVolumeMounts: [] ## Additional sidecar containers extraContainers: [] ## Internal port number for MinIO S3 API container ## Change service.port to change external port number minioAPIPort: "9000" ## Internal port number for MinIO Browser Console container ## Change consoleService.port to change external port number minioConsolePort: "9001"...

Additional arguments to pass to minio binary extraArgs: [] ## Additional volumes to minio container extraVolumes: [] ## Additional volumeMounts to minio container extraVolumeMounts: [] ## Additional sidecar containers extraContainers: [] ## Internal port number for MinIO S3 API container ## Change service.port to change external port number minioAPIPort: "9000" ## Internal port number for MinIO Browser Console container ## Change consoleService.port to change external port number minioConsolePort: "9001"...

Additional arguments to pass to minio binary extraArgs: [] ## Additional volumes to minio container extraVolumes: [] ## Additional volumeMounts to minio container extraVolumeMounts: [] ## Additional sidecar containers extraContainers: [] ## Internal port number for MinIO S3 API container ## Change service.port to change external port number minioAPIPort: "9000" ## Internal port number for MinIO Browser Console container ## Change consoleService.port to change external port number minioConsolePort: "9001"...

                    rule.setResponseProcessor(container.getComponent("defaultResponseProcessor"));
                });

        crawler = container.getComponent("crawler");
        dataService = container.getComponent("dataService");
        urlQueueService = container.getComponent("urlQueueService");
        fileTransformer = container.getComponent("fileTransformer");

    }

    private final PlexusContainer container;

    @Inject
    public DefaultPrompter(PlexusContainer container) {
        this.container = container;
    }

    @Override
    public String prompt(String message, List<String> possibleValues, String defaultReply) throws PrompterException {
        try {
            Class<?> clazz = container.getContainerRealm().loadClass(PROMPTER_CLASS);

 *
 * TODO you don't need the container in here with the active maps (jvz).
 * @since 3.0
 */
@Named
@Singleton
@Deprecated
public class DefaultConflictResolverFactory implements ConflictResolverFactory, Contextualizable {
    // fields -----------------------------------------------------------------

    /**
     * The plexus container used to obtain instances from.
     */

    private PdfExtractor pdfExtractorForPdfPassword;

    @Override
    protected void setUp() throws Exception {
        super.setUp();
        StandardCrawlerContainer container = new StandardCrawlerContainer();
        container.singleton("pdfExtractor", PdfExtractor.class)//
                .singleton("pdfExtractorForPdfPassword", PdfExtractor.class)//
                .singleton("mimeTypeHelper", MimeTypeHelperImpl.class)//

= vendor/github.com/container-storage-interface/spec licensed under: =

                                 Apache License
                           Version 2.0, January 2004
                        http://www.apache.org/licenses/

   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION

   1. Definitions.

      "License" shall mean the terms and conditions for use, reproduction,

WIP ML Build Docker container for ML repositories (Tensorflow, JAX and XLA).

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML