import jetbrains.buildServer.configs.kotlin.Project
import model.CIBuildModel
import model.DefaultFunctionalTestBucketProvider
import model.JsonBasedGradleSubprojectProvider
import promotion.PromotionProject
import util.UtilPerformanceProject
import util.UtilProject
import java.io.File

class GradleBuildToolRootProject(
    branch: VersionedSettingsBranch,
) : Project({
        val model =
            CIBuildModel(

    }

    /**
     * Gets the model name.
     *
     * @return the model name
     */
    public String getModel() {
        return model;
    }

    /**
     * Sets the model name.
     *
     * @param model the model name
     */
    public void setModel(final String model) {
        this.model = model;
    }

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

import java.io.File;
import java.util.ArrayList;
import java.util.List;

import org.apache.maven.model.Build;
import org.apache.maven.model.Model;
import org.apache.maven.model.Reporting;
import org.apache.maven.model.Resource;

/**
 * DefaultPathTranslator
 */
@Deprecated
@Named
@Singleton
public class DefaultPathTranslator implements PathTranslator {

De la même manière, cette base de données n'accepterait pas un modèle Pydantic (un objet avec des attributs), seulement un `dict`.

Vous pouvez utiliser `jsonable_encoder` pour cela.

Elle reçoit un objet, comme un modèle Pydantic, et renvoie une version compatible JSON :

{* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *}

Dans cet exemple, elle convertirait le modèle Pydantic en `dict`, et le `datetime` en `str`.

Da mesma forma, este banco de dados não receberia um modelo Pydantic (um objeto com atributos), apenas um `dict`.

Você pode usar a função `jsonable_encoder` para resolver isso.

A função recebe um objeto, como um modelo Pydantic e retorna uma versão compatível com JSON:

{* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *}

Neste exemplo, ele converteria o modelo Pydantic em um `dict`, e o `datetime` em um `str`.

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

import java.io.File;
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;

/**

 */

package gradlebuild.docs.dsl.docbook;

import groovy.lang.Closure;
import gradlebuild.docs.dsl.docbook.model.*;
import gradlebuild.docs.dsl.source.model.MethodMetaData;
import gradlebuild.docs.dsl.source.model.PropertyMetaData;
import gradlebuild.docs.dsl.source.model.TypeMetaData;
import org.gradle.internal.UncheckedException;
import org.w3c.dom.Document;
import org.w3c.dom.Element;

import common.FlakyTestStrategy
import common.JvmCategory
import common.Os
import common.buildScanTagParam
import common.getBuildScanCustomValueParam
import common.toCapitalized
import model.CIBuildModel
import model.Stage

class SmokeTests(
    model: CIBuildModel,
    stage: Stage,
    testJava: JvmCategory,
    id: String,
    task: String = "smokeTest",
    splitNumber: Int = 1,
    flakyTestStrategy: FlakyTestStrategy,

 * under the License.
 */
package org.apache.maven.project.validation;

import org.apache.maven.model.Model;

/**
 * Checks the model for missing or invalid values.
 *
 */
@Deprecated
public interface ModelValidator {

    String ROLE = ModelValidator.class.getName();

    ModelValidationResult validate(Model model);

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

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

import java.util.ArrayList;
import java.util.Collection;
import java.util.HashSet;
import java.util.List;

import org.apache.maven.model.Activation;
import org.apache.maven.model.Profile;
import org.apache.maven.model.building.ModelProblem.Severity;