* 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
)

```

////

/// info

In Pydantic version 1 the method to get the JSON Schema for a model was called `Item.schema()`, in Pydantic version 2, the method is called `Item.model_json_schema()`.

///

Nevertheless, although we are not using the default integrated functionality, we are still using a Pydantic model to manually generate the JSON Schema for the data that we want to receive in YAML.

import java.util.Arrays;
import java.util.List;
import java.util.Objects;
import java.util.function.Predicate;
import java.util.stream.Collectors;
import java.util.stream.Stream;

import org.apache.maven.model.Model;
import org.apache.maven.repository.internal.MavenArtifactRelocationSource;
import org.apache.maven.repository.internal.RelocatedArtifact;
import org.eclipse.aether.RepositorySystemSession;

import java.io.File;
import java.util.Collections;

import org.apache.maven.api.services.ModelBuilder;
import org.apache.maven.api.services.model.LifecycleBindingsInjector;
import org.apache.maven.bridge.MavenRepositorySystem;
import org.apache.maven.model.root.RootLocator;
import org.eclipse.aether.RepositorySystem;

@Named("classpath")
@Singleton
@Deprecated

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package gradlebuild.binarycompatibility.rules

import japicmp.model.JApiClass
import japicmp.model.JApiCompatibility
import japicmp.util.Optional
import javassist.CtClass
import me.champeau.gradle.japicmp.report.Violation

import java.util.regex.Pattern

 * @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.
 *

///

## Embed a single body parameter

Let's say you only have a single `item` body parameter from a Pydantic model `Item`.

By default, **FastAPI** will then expect its body directly.

But if you want it to expect a JSON with a key `item` and inside of it the model contents, as it does when you declare extra body parameters, you can use the special `Body` parameter `embed`:

```Python

     * 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.