Sebastián Ramírez <******@****.***> 1735580804 +0000

			}
			a.Reg = arm64.REG_UXTX + Rnum
		case "SXTB":
			if a.Type == obj.TYPE_MEM {
				return errors.New("invalid shift for the register offset addressing mode")
			}
			a.Reg = arm64.REG_SXTB + Rnum
		case "SXTH":
			if a.Type == obj.TYPE_MEM {
				return errors.New("invalid shift for the register offset addressing mode")
			}
			a.Reg = arm64.REG_SXTH + Rnum

{* ../../docs_src/first_steps/tutorial001.py hl[8] *}

Anda bisa menghasilkan `dict`, `list`, nilai singular seperti `str`, `int`, dll.

Anda juga bisa menghasilkan model Pydantic (anda akan belajar mengenai ini nanti).

Ada banyak objek dan model yang secara otomatis dikonversi ke JSON (termasuk ORM, dll). Anda bisa menggunakan yang anda suka, kemungkinan sudah didukung.

## Ringkasan

* Impor `FastAPI`.

abstract: TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture...

	"encoding/xml"
	"io"
	"os"
	"strings"

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

// From Veeam-SOSAPI_1.0_Document_v1.02d.pdf
// - SOSAPI Protocol Version
// - Model Name of the vendor plus version for statistical analysis.
// - List of Smart Object Storage protocol capabilities supported by the server.
// Currently, there are three capabilities supported:
//   - Capacity Reporting

 ╭────────── FastAPI CLI - Development mode ───────────╮
 │                                                     │
 │  Serving at: http://127.0.0.1:8000                  │
 │                                                     │
 │  API docs: http://127.0.0.1:8000/docs               │
 │                                                     │
 │  Running in development mode, for production use:   │

 ╭────────── FastAPI CLI - Development mode ───────────╮
 │                                                     │
 │  Serving at: http://127.0.0.1:8000                  │
 │                                                     │
 │  API docs: http://127.0.0.1:8000/docs               │
 │                                                     │
 │  Running in development mode, for production use:   │

Das wollen wir besser machen: Laden wir das Modell, bevor die Requests bearbeitet werden, aber unmittelbar bevor die Anwendung beginnt, Requests zu empfangen, und nicht, während der Code geladen wird.

## Resources

*   [TensorFlow.org](https://www.tensorflow.org)
*   [TensorFlow Tutorials](https://www.tensorflow.org/tutorials/)
*   [TensorFlow Official Models](https://github.com/tensorflow/models/tree/master/official)
*   [TensorFlow Examples](https://github.com/tensorflow/examples)
*   [TensorFlow Codelabs](https://codelabs.developers.google.com/?cat=TensorFlow)

///

Eine <a href="https://de.wikipedia.org/wiki/Umgebungsvariable" class="external-link" target="_blank">Umgebungsvariable</a> (auch bekannt als „env var“) ist eine Variable, die sich außerhalb des Python-Codes im Betriebssystem befindet und von Ihrem Python-Code (oder auch von anderen Programmen) gelesen werden kann.

Sie können Umgebungsvariablen in der Shell erstellen und verwenden, ohne Python zu benötigen: