import org.apache.maven.artifact.versioning.VersionRange;
import org.apache.maven.bridge.MavenRepositorySystem;
import org.apache.maven.model.Dependency;
import org.apache.maven.model.Plugin;
import org.apache.maven.model.Repository;
import org.apache.maven.model.io.ModelReader;
import org.apache.maven.project.artifact.ArtifactWithDependencies;
import org.apache.maven.settings.Mirror;
import org.apache.maven.settings.Proxy;

Na verdade, você não tem usuários que fazem login no seu aplicativo,...

	user := *GetUser("SoftDelete", Config{})
	DB.Save(&user)

	var count int64
	var age uint

	if DB.Model(&User{}).Where("name = ?", user.Name).Count(&count).Error != nil || count != 1 {
		t.Errorf("Count soft deleted record, expects: %v, got: %v", 1, count)
	}

	if DB.Model(&User{}).Select("age").Where("name = ?", user.Name).Scan(&age).Error != nil || age != user.Age {

///

Quando você adiciona um exemplo dentro de um modelo Pydantic, usando `schema_extra` ou` Field(example="something") `esse exemplo é adicionado ao **JSON Schema** para esse modelo Pydantic.

E esse **JSON Schema** do modelo Pydantic está incluído no **OpenAPI** da sua API e, em seguida, é usado na UI da documentação.

    @Override
    public Model interpolate(Model model, Map<String, ?> context, boolean strict) throws ModelInterpolationException {
        Properties props = new Properties();
        props.putAll(context);

        return interpolate(model, null, new DefaultProjectBuilderConfiguration().setExecutionProperties(props), true);
    }

    @Override

Et nous analysons directement ce contenu YAML, puis nous utilisons à nouveau le même modèle Pydantic pour valider le contenu YAML :

{* ../../docs_src/path_operation_advanced_configuration/tutorial007.py hl[26:33] *}

/// tip | Astuce

Ici, nous réutilisons le même modèle Pydantic.

Mais nous aurions pu tout aussi bien pu le valider d'une autre manière.

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

import java.io.File;

import org.apache.maven.toolchain.model.PersistedToolchains;

/**
 * Builds the toolchains model from a previously configured filesystem path to the toolchains file.
 * <strong>Note:</strong> This is an internal component whose interface can change without prior notice.
 *

			stmt.Context, _ = context.WithTimeout(stmt.Context, db.DefaultContextTimeout)
		}
	}

	// assign model values
	if stmt.Model == nil {
		stmt.Model = stmt.Dest
	} else if stmt.Dest == nil {
		stmt.Dest = stmt.Model
	}

	// parse model values
	if stmt.Model != nil {

					association.Error = associationDB.Model(nil).Where(clause.IN{Column: column, Values: values}).Delete(reflect.New(rel.FieldSchema.ModelType).Interface()).Error
				}
			}
		case schema.HasOne, schema.HasMany:
			model := reflect.New(rel.FieldSchema.ModelType).Interface()
			tx := association.DB.Model(model)

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] *}