"github.com/minio/minio/internal/kms"
	"github.com/minio/minio/internal/logger"
)

type sses3 struct{}

var (
	// S3 represents AWS SSE-S3. It provides functionality to handle
	// SSE-S3 requests.
	S3 = sses3{}

	_ Type = S3
)

// String returns the SSE domain as string. For SSE-S3 the
// domain is "SSE-S3".
func (sses3) String() string { return "SSE-S3" }

  // responseKind describes the group, version, and kind of the serialization schema for the object type this endpoint typically returns.
  // APIs may return other objects types at their discretion, such as error conditions, requests for alternate representations, or other operation specific behavior.
  // This value will be null if an APIService reports subresources but supports no operations on the parent resource

persistence.enabled=true securityContext: enabled: true runAsUser: 1000 runAsGroup: 1000 fsGroup: 1000 # Additational pod annotations podAnnotations: {} # Additional pod labels podLabels: {} ## Configure resource requests and limits ## ref: http://kubernetes.io/docs/user-guide/compute-resources/ ## resources: requests: memory: 16Gi ## List of users to be created after minio install ## users: ## Username, password and policy to be assigned to the user ## Default policies are [readonly|readwrite|writeonly|consoleAdmin|diagnostics]...

persistence.enabled=true securityContext: enabled: true runAsUser: 1000 runAsGroup: 1000 fsGroup: 1000 # Additational pod annotations podAnnotations: {} # Additional pod labels podLabels: {} ## Configure resource requests and limits ## ref: http://kubernetes.io/docs/user-guide/compute-resources/ ## resources: requests: memory: 16Gi ## List of users to be created after minio install ## users: ## Username, password and policy to be assigned to the user ## Default policies are [readonly|readwrite|writeonly|consoleAdmin|diagnostics]...

persistence.enabled=true securityContext: enabled: true runAsUser: 1000 runAsGroup: 1000 fsGroup: 1000 # Additational pod annotations podAnnotations: {} # Additional pod labels podLabels: {} ## Configure resource requests and limits ## ref: http://kubernetes.io/docs/user-guide/compute-resources/ ## resources: requests: memory: 16Gi ## List of users to be created after minio install ## users: ## Username, password and policy to be assigned to the user ## Default policies are [readonly|readwrite|writeonly|consoleAdmin|diagnostics]...

persistence.enabled=true securityContext: enabled: true runAsUser: 1000 runAsGroup: 1000 fsGroup: 1000 # Additational pod annotations podAnnotations: {} # Additional pod labels podLabels: {} ## Configure resource requests and limits ## ref: http://kubernetes.io/docs/user-guide/compute-resources/ ## resources: requests: memory: 16Gi ## List of users to be created after minio install ## users: ## Username, password and policy to be assigned to the user ## Default policies are [readonly|readwrite|writeonly|consoleAdmin|diagnostics]...

	ErrUnknownWORMModeDirective = errors.New("unknown WORM mode directive")
	// ErrObjectLockMissingContentMD5 - indicates missing Content-MD5 header for put object requests with locking
	ErrObjectLockMissingContentMD5 = errors.New("content-MD5 HTTP header is required for Put Object requests with Object Lock parameters")
	// ErrObjectLockInvalidHeaders indicates that object lock headers are missing

    /*
     * These are all the smbs supported by this library. This includes requests
     * and well as their responses for each type however the actual implementations
     * of the readXxxWireFormat and writeXxxWireFormat methods may not be in
     * place. For example at the time of this writing the readXxxWireFormat
     * for requests and the writeXxxWireFormat for responses are not implemented

TEST(CAPI, TestRemoteExecuteUpdateServerDefResourceAccessAsync) {
  TestRemoteExecuteUpdateServerDefResourceAccess(true);
}

void TestRemoteExecuteUpdateServerDefWithFailures(bool async) {
  // Fail fast on GetStatus requests so we can get errors instead of timeout
  // when updating cluster with non-exsitent worker
  tensorflow::setenv("GRPC_FAIL_FAST", "TRUE", /*overwrite=*/1);

  tensorflow::ServerDef server_def = GetServerDef(2);

# Verwendung von Datenklassen

FastAPI basiert auf **Pydantic** und ich habe Ihnen gezeigt, wie Sie Pydantic-Modelle verwenden können, um Requests und Responses zu deklarieren.

Aber FastAPI unterstützt auf die gleiche Weise auch die Verwendung von <a href="https://docs.python.org/3/library/dataclasses.html" class="external-link" target="_blank">`dataclasses`</a>:

```Python hl_lines="1  7-12  19-20"
{!../../docs_src/dataclasses/tutorial001.py!}
```