private final Document document;
    private final DslDocModel model;
    private final Set<String> primitiveTypes = new HashSet<String>();
    private final String groovyVersion;
    private final String javaVersion;

    public LinkRenderer(Document document, DslDocModel model, String groovyVersion, String javaVersion) {
        this.document = document;
        this.model = model;
        this.groovyVersion = groovyVersion;

## 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)

    disabled = user_dict["disabled"],
    hashed_password = user_dict["hashed_password"],
)
```

/// info

Eine ausführlichere Erklärung von `**user_dict` finden Sie in [der Dokumentation für **Extra Modelle**](../extra-models.md#uber-user_indict){.internal-link target=_blank}.

///

## Den Token zurückgeben

Die Response des `token`-Endpunkts muss ein JSON-Objekt sein.

import org.apache.maven.model.building.ModelProblem.Version;
import org.apache.maven.model.building.ModelProblemCollector;
import org.apache.maven.model.building.ModelProblemCollectorRequest;
import org.apache.maven.model.profile.activation.ProfileActivator;

/**
 * Calculates the active profiles among a given collection of profiles.
 *
 * @deprecated use {@link org.apache.maven.api.services.ModelBuilder} instead
 */
@Named
@Singleton

import jetbrains.buildServer.configs.kotlin.Project
import model.CIBuildModel
import model.FunctionalTestBucketProvider
import model.Stage
import model.TestCoverage

const val DEFAULT_FUNCTIONAL_TEST_BUCKET_SIZE = 50
const val DEFAULT_LINUX_FUNCTIONAL_TEST_BUCKET_SIZE = 20
const val DEFAULT_MACOS_FUNCTIONAL_TEST_BUCKET_SIZE = 20

class FunctionalTestProject(
    val model: CIBuildModel,

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

import java.io.File;
import java.nio.file.Path;
import java.util.Date;
import java.util.List;
import java.util.Properties;

import org.apache.maven.model.Model;
import org.apache.maven.model.Profile;
import org.apache.maven.model.resolution.ModelResolver;
import org.apache.maven.model.resolution.WorkspaceModelResolver;

/**

 -----

Maven 4 API - Immutable Maven Model

 This is strictly the immutable model for Maven POM (Project Object Model), so really just plain objects in <<<org.apache.maven.api.model>>> package.

 The following are generated from this model:

   * {{{./apidocs/index.html}Java sources}} with <<<Builder>>> inner classes for immutable instances creation.

```

Aqui nós estamos simulando a *inicialização* custosa do carregamento do modelo colocando a (falsa) função de modelo no dicionário com modelos de _machine learning_ antes do `yield`. Este código será executado **antes** da aplicação **começar a receber requisições**, durante a *inicialização*.

import org.apache.maven.model.Dependency;
import org.apache.maven.model.DependencyManagement;
import org.apache.maven.model.DistributionManagement;
import org.apache.maven.model.Model;
import org.apache.maven.model.Relocation;
import org.apache.maven.model.Repository;
import org.apache.maven.model.building.ModelBuildingException;
import org.apache.maven.model.building.ModelBuildingRequest;

platforms/core-configuration/kotlin-dsl-provider-plugins/   @gradle/bt-kotlin-dsl-maintainers
platforms/core-configuration/kotlin-dsl-tooling-builders/   @gradle/bt-kotlin-dsl-maintainers
platforms/core-configuration/kotlin-dsl-tooling-models/     @gradle/bt-kotlin-dsl-maintainers

# Core automation platform (Declarative DSL)
platforms/core-configuration/declarative-dsl-api/                   @gradle/bt-declarative-dsl