DB.Find(&user2, "id = ?", user.ID)
	DB.Model(&user2).Association("Pets").Find(&user2.Pets)
	CheckUser(t, user2, user)

	var pets []Pet
	DB.Model(&user).Where("name = ?", user.Pets[0].Name).Association("Pets").Find(&pets)

	if len(pets) != 1 {
		t.Fatalf("should only find one pets, but got %v", len(pets))
	}

	CheckPet(t, pets[0], *user.Pets[0])

    }

    @Test
    void testGetModel() {
        ToolchainModel model = new ToolchainModel();
        DefaultToolchain toolchain = newDefaultToolchain(model);
        assertEquals(model, toolchain.getModel());
    }

    @Test
    void testGetType() {
        ToolchainModel model = new ToolchainModel();
        DefaultToolchain toolchain = newDefaultToolchain(model, "TYPE");
        assertEquals("TYPE", toolchain.getType());

     */
    @Deprecated
    Model interpolate(Model project, Map<String, ?> context) throws ModelInterpolationException;

    /**
     * @deprecated Use {@link ModelInterpolator#interpolate(Model, File, ProjectBuilderConfiguration, boolean)} instead.
     */
    @Deprecated

package projects

import configurations.PerformanceTest
import jetbrains.buildServer.configs.kotlin.Project
import model.CIBuildModel
import model.PerformanceTestBucketProvider
import model.PerformanceTestCoverage
import model.PerformanceTestProjectSpec
import model.Stage

abstract class PerformanceTestProject(
    model: CIBuildModel,
    val spec: PerformanceTestProjectSpec,
    val performanceTests: List<PerformanceTest>,
) : Project({

package configurations

import common.Os
import common.buildScanTagParam
import common.getBuildScanCustomValueParam
import model.CIBuildModel
import model.Stage

class SanityCheck(
    model: CIBuildModel,
    stage: Stage,
) : OsAwareBaseGradleBuildType(os = Os.LINUX, stage = stage, init = {
        id(buildTypeId(model))
        name = "Sanity Check"
        description = "Static code analysis, checkstyle, release notes verification, etc."

El `app_name` sería `"ChimichangApp"`.

Y el `items_per_user` mantendría su valor por defecto de `50`.

## Configuraciones en otro módulo

Podrías poner esas configuraciones en otro archivo de módulo como viste en [Aplicaciones Más Grandes - Múltiples Archivos](../tutorial/bigger-applications.md){.internal-link target=_blank}.

Por ejemplo, podrías tener un archivo `config.py` con:

	}

	if DB.Unscoped().Model(&person).Association("Addresses").Count() != 2 {
		t.Fatalf("Should found soft deleted addresses with unscoped")
	}

	DB.Model(&person).Association("Addresses").Clear()

	if DB.Model(&person).Association("Addresses").Count() != 0 {
		t.Fatalf("Should deleted all addresses")
	}

	if DB.Unscoped().Model(&person).Association("Addresses").Count() != 2 {

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

import org.apache.maven.model.Model;
import org.apache.maven.model.building.DefaultModelBuildingRequest;
import org.apache.maven.model.building.ModelBuildingRequest;
import org.apache.maven.model.building.ModelProblem;
import org.apache.maven.model.building.ModelProblemCollector;
import org.apache.maven.model.building.ModelProblemCollectorRequest;

/**
 */
@Deprecated
@Named

 *   <li>{@link org.apache.maven.api.model.Model} - The root element of a POM file</li>
 *   <li>{@link org.apache.maven.api.model.Dependency} - Represents a project dependency</li>
 *   <li>{@link org.apache.maven.api.model.Plugin} - Represents a Maven plugin configuration</li>
 *   <li>{@link org.apache.maven.api.model.Build} - Contains build configuration information</li>

1)  Reference [TensorFlow Model Colab](https://colab.research.google.com/gist/ymodak/e96a4270b953201d5362c61c1e8b78aa/tensorflow-datasets.ipynb?authuser=1): Demonstrate how to build your TF model.