*/
    int NTLMSSP_TARGET_TYPE_SERVER = 0x00020000;

    /**
    * Sent by the server in the Type 2 message to indicate that the
    * target authentication realm is a share (presumably for share-level
    * authentication).
    */
    int NTLMSSP_TARGET_TYPE_SHARE = 0x00040000;

    /**
    * Indicates that the NTLM2 signing and sealing scheme should be used

 documentation for details on file names, formats, and so on.

 During Maven initialization, Maven tweaks default root logging level to match CLI verbosity choice. Since such feature isn't available
 in SLF4J API, logging implementation specific extensions need to be added into Maven to support these CLI options: see

    /**
     * Gets the problems that were encountered during the model building. Note that only problems of severity
     * {@link ModelProblem.Severity#WARNING} and below are reported here. Problems with a higher severity level cause
     * the model builder to fail with a {@link ModelBuildingException}.
     *
     * @return The problems that were encountered during the model building, can be empty but never {@code null}.
     */

One of those distributed container management systems like Kubernetes normally has some integrated way of handling **replication of containers** while still supporting **load balancing** for the incoming requests. All at the **cluster level**.

     */
    @CanIgnoreReturnValue
    @GwtIncompatible("java.lang.ref.WeakReference")
    public InternerBuilder weak() {
      this.strong = false;
      return this;
    }

    /**
     * Sets the concurrency level that will be used by the to-be-built {@link Interner}.
     *
     * @see MapMaker#concurrencyLevel(int)
     */
    @CanIgnoreReturnValue
    public InternerBuilder concurrencyLevel(int concurrencyLevel) {

///

## Other models { #other-models }

You can now get the current user directly in the *path operation functions* and deal with the security mechanisms at the **Dependency Injection** level, using `Depends`.

And you can use any model or data for the security requirements (in this case, a Pydantic model `User`).

But you are not restricted to using some specific data model, class or type.

be same across the federated deployment, i.e. all the MinIO instances within a federated deployment should use same
etcd back-end.

#### MINIO_DOMAIN

This is the top level domain name used for the federated setup. This domain name should ideally resolve to a load-balancer
running in front of all the federated MinIO instances. The domain name is used to create sub domain entries to etcd. For

```
KEY:
storage_class  define object level redundancy

ARGS:
standard  (string)    set the parity count for default standard storage class e.g. "EC:4"
rrs       (string)    set the parity count for reduced redundancy storage class e.g. "EC:2"
comment   (sentence)  optionally add a comment to this setting
```

or environment variables

```
KEY:
storage_class  define object level redundancy

ARGS:

        single_not_embedded_field = True
        # If headers are in a Pydantic model, the way to disable convert_underscores
        # would be with Header(convert_underscores=False) at the Pydantic model level
        default_convert_underscores = getattr(
            first_field.field_info, "convert_underscores", True
        )

    params_to_process: dict[str, Any] = {}

    processed_keys = set()

        byte[] challenge = { 1, 2, 3, 4, 5, 6, 7, 8 };
        byte[] hash = auth.getAnsiHash(challenge);
        assertNotNull(hash);
        // getAnsiHash always returns 24 bytes for all lmCompatibility levels
        // (getPreNTLMResponse, getNTLMResponse, or getLMv2Response all return 24 bytes)
        assertEquals(24, hash.length);
    }

    // Test getUnicodeHash behavior based on static LM_COMPATIBILITY setting