},
		{ // Filter without And and multiple Tag tags
			inputXML: ` <Filter>
							<Prefix>key-prefix</Prefix>
							<Tag>
								<Key>key1</Key>
								<Value>value1</Value>
							</Tag>
							<Tag>
								<Key>key2</Key>
								<Value>value2</Value>
							</Tag>
						</Filter>`,
			expectedErr: errInvalidFilter,
		},
		{ // Filter with And, Prefix & multiple Tag tags
			inputXML: ` <Filter>

MinIO in distributed mode lets you pool multiple drives (even on different machines) into a single object storage server. As drives are distributed across several nodes, distributed MinIO can withstand multiple node failures and yet ensure full data protection.

## Why distributed MinIO?

  // hostname of this endpoint. This field may be used by consumers of
  // endpoints to distinguish endpoints from each other (e.g. in DNS names).
  // Multiple endpoints which use the same hostname should be considered
  // fungible (e.g. multiple A values in DNS). Must be lowercase and pass DNS
  // Label (RFC 1123) validation.
  // +optional
  optional string hostname = 3;

    each OAuth2 flow.

    You normally would not create a new class inheriting from it but use one of the
    existing subclasses, and maybe compose them if you want to support multiple flows.

    Read more about it in the
    [FastAPI docs for Security](https://fastapi.tiangolo.com/tutorial/security/).
    """

    def __init__(
        self,
        *,
        flows: Annotated[

		//  Used to test the listing for the case of multiple uploadID's for a given object.
		res, err = obj.NewMultipartUpload(context.Background(), bucketNames[1], objectNames[0], opts)
		if err != nil {
			// Failed to create NewMultipartUpload, abort.
			t.Fatalf("%s : %s", instanceType, err.Error())
		}

		uploadIDs = append(uploadIDs, res.UploadID)
	}

	// Bucket to test for multiple objects, each with unique UUID.

import com.github.ajalt.clikt.parameters.arguments.argument
import com.github.ajalt.clikt.parameters.options.default
import com.github.ajalt.clikt.parameters.options.flag
import com.github.ajalt.clikt.parameters.options.multiple
import com.github.ajalt.clikt.parameters.options.option
import com.github.ajalt.clikt.parameters.types.int
import java.security.cert.X509Certificate
import java.util.Properties
import java.util.concurrent.TimeUnit.SECONDS

When deploying applications you will probably want to have some **replication of processes** to take advantage of **multiple cores** and to be able to handle more requests.

As you saw in the previous chapter about [Deployment Concepts](concepts.md){.internal-link target=_blank}, there are multiple strategies you can use.

	argv0, err := exec.LookPath(os.Args[0])
	if err != nil {
		return err
	}

	// Invokes the execve system call.
	// Re-uses the same pid. This preserves the pid over multiple server-respawns.
	return syscall.Exec(argv0, os.Args, os.Environ())
}

// freezeServices will freeze all incoming S3 API calls.
// For each call, unfreezeServices must be called once.
func freezeServices() {

  // hostname of this endpoint. This field may be used by consumers of
  // endpoints to distinguish endpoints from each other (e.g. in DNS names).
  // Multiple endpoints which use the same hostname should be considered
  // fungible (e.g. multiple A values in DNS). Must be lowercase and pass DNS
  // Label (RFC 1123) validation.
  // +optional
  optional string hostname = 3;

The patterns used by [ServeMux] allow multiple spaces matching