* Refer [linux setup guide](https://www.tensorflow.org/install/gpu#linux_setup).
     * If error still persists then, apparently your CPU model does not support AVX instruction sets.
       * Refer [hardware requirements](https://www.tensorflow.org/install/pip#hardware-requirements).
   

	discovery "github.com/envoyproxy/go-control-plane/envoy/service/discovery/v3"
	"google.golang.org/grpc"
	"google.golang.org/grpc/credentials"

	"istio.io/istio/istioctl/pkg/clioptions"
	"istio.io/istio/pilot/pkg/model"
	"istio.io/istio/pkg/adsc"
	"istio.io/istio/pkg/kube"
)

const (
	// defaultExpirationSeconds is how long-lived a token to request (an hour)
	defaultExpirationSeconds = 60 * 60
)

```Python hl_lines="1  10-13  21-24"
{!../../docs_src/sql_databases/sql_app/models.py!}
```

### ✍ 💛

🔜 ✍ 💛.

👉, 👥 ⚙️ `relationship` 🚚 🇸🇲 🐜.

👉 🔜 ▶️️, 🌅 ⚖️ 🌘, "🎱" 🔢 👈 🔜 🔌 💲 ⚪️➡️ 🎏 🏓 🔗 👉 1️⃣.

```Python hl_lines="2  15  26"
{!../../docs_src/sql_databases/sql_app/models.py!}
```

from sqlmodel.main import default_registry

from tests.utils import needs_py39, needs_py310


def clear_sqlmodel():
    # Clear the tables in the metadata for the default base model
    SQLModel.metadata.clear()
    # Clear the Models associated with the registry, to avoid warnings
    default_registry.dispose()


@pytest.fixture(
    name="client",
    params=[
        "tutorial002",

```Python hl_lines="1  9  12"
{!../../docs_src/response_change_status_code/tutorial001.py!}
```

Y luego puedes retornar cualquier objeto que necesites, como normalmente lo harías (un `dict`, un modelo de base de datos, etc).

Y si declaraste un `response_model`, aún se usará para filtrar y convertir el objeto que retornaste.

 * @deprecated use {@link org.apache.maven.api.services.model.RootLocator} instead
 */
@Deprecated(since = "4.0.0")
public interface RootLocator {

    String UNABLE_TO_FIND_ROOT_PROJECT_MESSAGE = "Unable to find the root directory. "
            + "Create a .mvn directory in the root directory or add the root=\"true\""
            + " attribute on the root project's model to identify it.";

    @Nonnull

import gradlebuild.binarycompatibility.sources.KotlinSourceQueries
import gradlebuild.binarycompatibility.sources.SourcesRepository
import japicmp.model.JApiClass
import japicmp.model.JApiCompatibility
import japicmp.model.JApiMethod
import javassist.bytecode.SourceFileAttribute
import java.io.File


/**
 * Repository of sources for binary compatibility checks.
 *

     * The possible request types for building a model.
     */
    enum RequestType {
        /**
         * The request is for building a model from a POM file in a project on the filesystem.
         */
        BUILD_POM,
        /**
         * The request is for building the consumer POM.
         */
        CONSUMER_POM,
        /**
         * The request is for building a model from a parent POM file from a downloaded artifact.

# Eine Response direkt zurückgeben

Wenn Sie eine **FastAPI** *Pfadoperation* erstellen, können Sie normalerweise beliebige Daten davon zurückgeben: ein `dict`, eine `list`e, ein Pydantic-Modell, ein Datenbankmodell, usw.

Standardmäßig konvertiert **FastAPI** diesen Rückgabewert automatisch nach JSON, mithilfe des `jsonable_encoder`, der in [JSON-kompatibler Encoder](../tutorial/encoder.md){.internal-link target=_blank} erläutert wird.

import org.apache.maven.api.Session;
import org.apache.maven.api.annotations.Experimental;
import org.apache.maven.api.annotations.Nonnull;
import org.apache.maven.api.model.Dependency;
import org.apache.maven.api.model.Plugin;
import org.apache.maven.api.model.ReportPlugin;

/**
 *
 * @since 4.0.0
 */
@Experimental
public interface DependencyCoordinatesFactory extends Service {

    /**