## Quick Start

* `Query` from `fastapi`
* `Annotated` from `typing`

{* ../../docs_src/query_params_str_validations/tutorial002_an_py310.py hl[1,3] *}

/// info

FastAPI added support for `Annotated` (and started recommending it) in version 0.95.0.

If you have an older version, you would get errors when trying to use `Annotated`.

./mc ls -r myminio/versioned/ >expanded_ns.txt
./mc ls -r --versions myminio/versioned/ >expanded_ns_versions.txt

./mc admin decom start myminio/ http://localhost:9000/tmp/xl/{1...10}/disk{0...1}

until $(./mc admin decom status myminio/ | grep -q Complete); do
	echo "waiting for decom to finish..."
	sleep 1
done

kill $pid_1
kill $pid_2

sleep 5

    TF_Status* out_status) const {
  absl::Status status;
  if (reader_ != nullptr) {
    status = reader_->GetTensor(name, out_tensor);
  } else {
    tensorflow::DataType dtype;
    tensorflow::TensorShape shape;
    status = v2_reader_->LookupDtypeAndShape(name, &dtype, &shape);
    if (status.ok()) {
      out_tensor->reset(new Tensor(dtype, shape));
      status = v2_reader_->Lookup(name, out_tensor->get());

	public final fun setProtocols (Ljava/util/List;)V
	public final fun setServerSocketFactory (Ljavax/net/ServerSocketFactory;)V
	public final fun start ()V
	public final fun start (I)V
	public final fun start (Ljava/net/InetAddress;I)V
	public static synthetic fun start$default (Lmockwebserver3/MockWebServer;IILjava/lang/Object;)V
	public final fun takeRequest ()Lmockwebserver3/RecordedRequest;

}

void TF_TensorFromProto(const TF_Buffer* from, TF_Tensor* to,
                        TF_Status* status) {
  TF_SetStatus(status, TF_OK, "");
  tensorflow::TensorProto from_tensor_proto;
  status->status = BufferToMessage(from, &from_tensor_proto);
  if (!status->status.ok()) {
    return;
  }
  status->status =
      tensorflow::down_cast<tensorflow::TensorInterface*>(to->tensor)
          ->FromProto(from_tensor_proto);

Das steht im Gegensatz zu den **Entwicklungsphasen**, in denen Sie ständig den Code ändern, kaputt machen, reparieren, den Entwicklungsserver stoppen und neu starten, usw.

## Deployment-Strategien { #deployment-strategies }

Es gibt mehrere Möglichkeiten, dies zu tun, abhängig von Ihrem spezifischen Anwendungsfall und den von Ihnen verwendeten Tools.

    /** Search criteria: job name */
    public String jobName;

    /** Search criteria: job status */
    public String jobStatus;

    /** Search criteria: target */
    public String target;

    /** Search criteria: script type */
    public String scriptType;

    /** Search criteria: start time */
    public String startTime;

    /**
     * Clears all pagination data and search criteria.
     */

  op.reset(TFE_NewOp(context.get(), "DestroyResourceOp", status.get()));
  TFE_OpAddInput(op.get(), var_handle, status.get());
  TFE_OpSetDevice(op.get(), name, status.get());
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
  num_retvals = 0;
  TFE_Execute(op.get(), nullptr, &num_retvals, status.get());
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
}

                        break;
                    }
                }
            }
        }, scheduler);

        asyncNotifyTasks.put(registrationId, asyncTask);
        log.debug("Started async notification monitoring for {}", registrationId);
    }

    /**
     * Stops asynchronous notification monitoring for a registration.
     *
     * @param registrationId the registration ID
     */