Files.delete(tempFile);
        try (InputStream expected = Files.newInputStream(beforePomFile)) {
            Model model = new Model(new MavenStaxReader().read(expected));
            MavenProject project = new MavenProject(model);
            project.setOriginalModel(model);
            ConsumerPomArtifactTransformer t = new ConsumerPomArtifactTransformer((s, p, f) -> {
                try (InputStream is = f.openStream()) {

        context.indent();
        context.info("-m, --model-version <version> Target POM model version (4.0.0 or 4.1.0)");
        context.info("-d, --directory <path> Directory to use as starting point for POM discovery");
        context.info("-i, --infer           Remove redundant information that can be inferred by Maven");
        context.info("    --model           Fix Maven 4 compatibility issues in POM files");

import gradlebuild.binarycompatibility.sources.SinceTagStatus;
import japicmp.model.JApiClass;
import japicmp.model.JApiCompatibility;
import japicmp.model.JApiConstructor;
import japicmp.model.JApiField;
import japicmp.model.JApiHasAnnotations;
import japicmp.model.JApiMethod;
import me.champeau.gradle.japicmp.report.Violation;

import java.util.Map;

Und dann validieren wir diese Daten mit dem Pydantic-Modell (wobei wir die `ValidationError`-Exception abfangen), und wenn wir beim Lesen des JWT-Tokens oder beim Validieren der Daten mit Pydantic einen Fehler erhalten, lösen wir die zuvor erstellte `HTTPException` aus.

Dazu aktualisieren wir das Pydantic-Modell `TokenData` mit einem neuen Attribut `scopes`.

     */
    @Nonnull
    Optional<Boolean> plugins();

    /**
     * Should apply all upgrade options (equivalent to --model-version 4.1.0 --infer --model --plugins).
     * This is a convenience option that combines model upgrade, inference, compatibility fixes, and plugin upgrades.
     *
     * @return an {@link Optional} containing the boolean value {@code true} if specified, or empty
     */

 * under the License.
 */
package org.apache.maven.plugin.version;

import java.util.Collections;
import java.util.List;

import org.apache.maven.execution.MavenSession;
import org.apache.maven.model.Model;
import org.apache.maven.model.Plugin;
import org.apache.maven.project.MavenProject;
import org.eclipse.aether.RepositorySystemSession;
import org.eclipse.aether.repository.RemoteRepository;

/**

This ADR does not specify the owner of this new architecture module. However, as a separate module, it can be assigned ownership independently of the other core services.

## Status

ACCEPTED

## Consequences

- Introduce the module and move the services and their implementations.

/// info | Informação

Observe que o `TestClient` recebe dados que podem ser convertidos para JSON, não para modelos Pydantic.

Se você tiver um modelo Pydantic em seu teste e quiser enviar seus dados para o aplicativo durante o teste, poderá usar o `jsonable_encoder` descrito em [Codificador compatível com JSON](encoder.md){.internal-link target=_blank}.

///

import jetbrains.buildServer.configs.kotlin.buildSteps.script
import model.CIBuildModel
import model.Stage

class CheckTeamCityKotlinDSL(
    model: CIBuildModel,
    stage: Stage,
) : OsAwareBaseGradleBuildType(
        os = Os.LINUX,
        stage = stage,
        init = {
            id("${model.projectId}_CheckTeamCityKotlinDSL")
            name = "CheckTeamCityKotlinDSL"

 * under the License.
 */
package org.apache.maven.model.profile.activation;

import javax.inject.Named;
import javax.inject.Singleton;

import java.util.Locale;

import org.apache.maven.model.Activation;
import org.apache.maven.model.ActivationOS;
import org.apache.maven.model.Profile;
import org.apache.maven.model.building.ModelProblemCollector;
import org.apache.maven.model.profile.ProfileActivationContext;