## Usa `CORSMiddleware` { #use-corsmiddleware }

Puedes configurarlo en tu aplicación **FastAPI** usando el `CORSMiddleware`.

* Importa `CORSMiddleware`.
* Crea una lista de orígenes permitidos (como strings).
* Agrégalo como un "middleware" a tu aplicación **FastAPI**.

También puedes especificar si tu backend permite:

* Credenciales (headers de autorización, cookies, etc).

## TensorFlow models are programs

TensorFlow
[**models**](https://developers.google.com/machine-learning/glossary/#model) (to
use a term commonly used by machine learning practitioners) are expressed as
programs that TensorFlow executes. TensorFlow programs are encoded as
computation
[**graphs**](https://developers.google.com/machine-learning/glossary/#graph).

Incluyendo cómo manejar el estado de lifespan que puede ser usado en otras áreas de tu código.

///

## Sub Aplicaciones { #sub-applications }

 *
 * <p>The analyzer processes POM files recursively, tracking string occurrences and their locations within the POM structure.
 * It can identify areas where string deduplication could provide significant memory savings.</p>
 *
 * <p>Usage example:</p>
 * <pre>
 * PomMemoryAnalyzer analyzer = new PomMemoryAnalyzer();

## Pydantic

Tüm veri doğrulamaları <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> tarafından arka planda gerçekleştirilir, bu sayede tüm avantajlardan faydalanabilirsiniz. Böylece, emin ellerde olduğunuzu hissedebilirsiniz.

Aynı tip tanımlamalarını `str`, `float`, `bool` ve diğer karmaşık veri tipleri ile kullanma imkanınız vardır.

                "                <img src=\"https://fast.wistia.com/embed/medias/$2/swatch\" style=\"filter:blur(5px);height:100%;object-fit:contain;width:100%;\" alt=\"$1\" aria-hidden=\"true\" onload=\"this.parentNode.style.opacity=1;\" /> \n" +
                "        </div></div></div></div> \n" +
                "    </div> \n" +
                "  </div> \n" +
                "</details>");

```

Other devices (DirectX and MacOS-metal) are supported using
[Device Plugins](https://www.tensorflow.org/install/gpu_plugins#available_devices).

A smaller CPU-only package is also available:

```
$ pip install tensorflow-cpu
```

To update TensorFlow to the latest version, add `--upgrade` flag to the above
commands.

*Nightly binaries are available for testing using the

<a href="https://github.com/containous/traefik/releases" class="external-link" target="_blank">Descarga Traefik</a>, es un archivo binario único, puedes extraer el archivo comprimido y ejecutarlo directamente desde la terminal.

Luego crea un archivo `traefik.toml` con:

```TOML hl_lines="3"
[entryPoints]
  [entryPoints.http]
    address = ":9999"

[providers]
  [providers.file]
    filename = "routes.toml"
```

            assertEquals(0x1, buffer[offset + 12]);
            // Note: Padding byte at offset + 13 is not guaranteed to be 0 after encode

            // Verify areas before offset are untouched
            for (int i = 0; i < offset; i++) {
                assertEquals((byte) 0xFF, buffer[i], "Buffer corrupted before offset at position " + i);
            }
        }
    }

    Maven-Artifact, below, so we can be smarter about testing filesystem-based
    repositories, etc.

  * If not otherwise specified, all other wagons are assumed to be
    remote-only, and are therefore sensitive to offline mode.

** Maven-Artifact

  This is wholly dependent on Maven-Wagon, above.

  We could possibly use a flag on a particular Wagon to see whether it supports