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.

De la misma manera, esta base de datos no recibiría un modelo de Pydantic (un objeto con atributos), solo un `dict`.

Puedes usar `jsonable_encoder` para eso.

Recibe un objeto, como un modelo de Pydantic, y devuelve una versión compatible con JSON:

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

En este ejemplo, convertiría el modelo de Pydantic a un `dict`, y el `datetime` a un `str`.

Genauso würde die Datenbank kein Pydantic-Modell (ein Objekt mit Attributen) akzeptieren, sondern nur ein `dict`.

Sie können für diese Fälle `jsonable_encoder` verwenden.

Es nimmt ein Objekt entgegen, wie etwa ein Pydantic-Modell, und gibt eine JSON-kompatible Version zurück:

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

 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.model.plugin;

import org.apache.maven.model.Model;
import org.apache.maven.model.building.ModelBuildingRequest;
import org.apache.maven.model.building.ModelProblemCollector;

/**
 * Handles expansion of general build plugin configuration into individual executions.
 *

            Model model = new Model();
            model.setModelVersion("4.0.0");
            model.setGroupId(groupId);
            model.setArtifactId(artifactId);
            model.setVersion(version);
            model.setBuild(new Build());
            project = new MavenProject(model);
        }

        public ProjectBuilder setGroupId(String groupId) {

	CheckUser(t, user, user)

	// Find
	var user2 User
	DB.Find(&user2, "id = ?", user.ID)
	DB.Model(&user2).Association("Account").Find(&user2.Account)
	CheckUser(t, user2, user)

	// Count
	AssertAssociationCount(t, user, "Account", 1, "")

	// Append
	account := Account{Number: "account-has-one-append"}

	if err := DB.Model(&user2).Association("Account").Append(&account); err != nil {

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

import org.apache.maven.model.Model;

/**
 * WorkspaceModelResolver
 *
 * @deprecated use {@code org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")
public interface WorkspaceModelResolver {

    Model resolveRawModel(String groupId, String artifactId, String versionConstraint)

import org.apache.maven.api.model.InputLocation;
import org.apache.maven.api.model.Model;

/**
 * Collects problems that are encountered during model building. The primary purpose of this component is to account for
 * the fact that the problem reporter has/should not have information about the calling context and hence cannot provide

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

import java.util.Properties;

import org.apache.maven.api.model.Profile;
import org.apache.maven.model.building.SimpleProblemCollector;
import org.apache.maven.model.profile.DefaultProfileActivationContext;
import org.apache.maven.model.profile.ProfileActivationContext;
import org.junit.jupiter.api.AfterEach;

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

import org.apache.maven.model.Build;
import org.apache.maven.model.Dependency;
import org.apache.maven.model.Extension;
import org.apache.maven.model.Model;
import org.apache.maven.model.Parent;
import org.apache.maven.model.Plugin;
import org.apache.maven.model.PluginManagement;
import org.junit.jupiter.api.Test;