quarkus/test-framework/junit5-internal/pom.xml
quarkus/integration-tests/reactive-messaging-kafka/pom.xml
	quarkus/integration-tests/class-transformer/runtime/pom.xml
	quarkus/integration-tests/shared-library/pom.xml
	quarkus/extensions/redis-client/runtime/pom.xml
	quarkus/extensions/resteasy-classic/resteasy/runtime/pom.xml
	quarkus/extensions/resteasy-classic/resteasy-jackson/runtime/pom.xml

   There used to be two different mechanisms - one for regular S3 objects and one for IAM data.
- Reduced server startup time. For IAM encryption with the root credentials, MinIO had
   to use a memory-hard function (Argon2) that (on purpose) consumes a lot of memory and CPU.
   The new KMS-based approach can use a key derivation function that is orders of magnitudes
   cheaper w.r.t. memory and CPU.

		<groupId>org.codelibs.fess</groupId>
		<artifactId>fess-parent</artifactId>
		<version>15.4.0</version>
		<relativePath />
	</parent>
	<properties>
		<!-- DEB & RPM build -->
		<packaging.fess.home.dir>/usr/share/fess</packaging.fess.home.dir>
		<packaging.fess.app.dir>${packaging.fess.home.dir}/app</packaging.fess.app.dir>
		<packaging.fess.bin.dir>${packaging.fess.home.dir}/bin</packaging.fess.bin.dir>

#### Docker Compose { #docker-compose }

You could be deploying to a **single server** (not a cluster) with **Docker Compose**, so you wouldn't have an easy way to manage replication of containers (with Docker Compose) while preserving the shared network and **load balancing**.

Then you could want to have **a single container** with a **process manager** starting **several worker processes** inside.

---

  }

  /**
   * A thread-safe cache that contains the mapping from each class to all methods in that class and
   * all super-classes, that are annotated with {@code @Subscribe}. The cache is shared across all
   * instances of this class; this greatly improves performance if multiple EventBus instances are
   * created and objects of the same class are registered on all of them.
   */

	"io"
	"sync"
	"time"

	"github.com/minio/madmin-go/v3"
)

// naughtyDisk wraps a POSIX disk and returns programmed errors
// specified by the developer. The purpose is to simulate errors
// that are hard to simulate in practice like DiskNotFound.
// Programmed errors are stored in errors field.
type naughtyDisk struct {
	// The real disk
	disk StorageAPI
	// Programmed errors: API call number => error to return

### 2. Configure WSO2

Once WSO2 is up and running, configure WSO2 to generate Self contained id_tokens. In OAuth 2.0 specification there are primarily two ways to provide id_tokens

1. The id_token is an identifier that is hard to guess. For example, a randomly generated string of sufficient length, that the server handling the protected resource can use to lookup the associated authorization information.

  private final ImmutableList<String> parts;

  /**
   * Cached value of #publicSuffixIndex(). Do not use directly.
   *
   * <p>Since this field isn't {@code volatile}, if an instance of this class is shared across
   * threads before it is initialized, then each thread is likely to compute their own copy of the
   * value.
   */
  @SuppressWarnings("Immutable")
  @LazyInit

    /**
     * SMB command to close a find operation.
     */
    public static final byte SMB_COM_FIND_CLOSE2 = (byte) 0x34;

    /**
     * SMB command to disconnect from a tree share.
     */
    public static final byte SMB_COM_TREE_DISCONNECT = (byte) 0x71;

    /**
     * SMB command to negotiate protocol dialect.
     */
    public static final byte SMB_COM_NEGOTIATE = (byte) 0x72;

Solo la pasas a `Depends` y **FastAPI** sabe cómo hacer el resto.

///

## Compartir dependencias `Annotated` { #share-annotated-dependencies }

En los ejemplos anteriores, ves que hay un poquito de **duplicación de código**.