When you create a **FastAPI** *path operation* you can normally return any data from it: a `dict`, a `list`, a Pydantic model, a database model, etc.

By default, **FastAPI** would automatically convert that return value to JSON using the `jsonable_encoder` explained in [JSON Compatible Encoder](../tutorial/encoder.md){.internal-link target=_blank}.

import org.codelibs.core.beans.factory.ParameterizedClassDescFactory;
import org.codelibs.core.convert.BooleanConversionUtil;
import org.codelibs.core.convert.CalendarConversionUtil;
import org.codelibs.core.convert.DateConversionUtil;
import org.codelibs.core.convert.NumberConversionUtil;
import org.codelibs.core.convert.TimeConversionUtil;
import org.codelibs.core.convert.TimestampConversionUtil;

package callbacks

import (
	"reflect"
	"sort"

	"gorm.io/gorm"
	"gorm.io/gorm/clause"
)

// ConvertMapToValuesForCreate convert map to values
func ConvertMapToValuesForCreate(stmt *gorm.Statement, mapValue map[string]interface{}) (values clause.Values) {
	values.Columns = make([]clause.Column, 0, len(mapValue))
	selectColumns, restricted := stmt.SelectAndOmitColumns(true, false)

	keys := make([]string, 0, len(mapValue))

import static org.codelibs.core.misc.AssertionUtil.assertArgumentNotNull;

import java.util.Date;

import org.codelibs.core.beans.Converter;
import org.codelibs.core.convert.StringConversionUtil;
import org.codelibs.core.convert.TimestampConversionUtil;

/**
 * Converter for timestamps.
 *
 * @author higa
 */
public class TimestampConverter implements Converter {

    /**

    /**
     * Converts a wildcard query to an appropriate OpenSearch QueryBuilder.
     *
     * @param context The query context containing field and search information
     * @param wildcardQuery The Lucene wildcard query to convert
     * @param boost The boost factor to apply to the query
     * @return The converted OpenSearch QueryBuilder
     */

			}
		}

		if reflect.ValueOf(got).Type().ConvertibleTo(reflect.ValueOf(expect).Type()) {
			got = reflect.ValueOf(got).Convert(reflect.ValueOf(expect).Type()).Interface()
			isEqual()
		} else if reflect.ValueOf(expect).Type().ConvertibleTo(reflect.ValueOf(got).Type()) {
			expect = reflect.ValueOf(got).Convert(reflect.ValueOf(got).Type()).Interface()
			isEqual()
		} else {

	if ns.SingularTable {
		return ns.toSchemaName(table)
	}
	return ns.toSchemaName(inflection.Singular(table))
}

// ColumnName convert string to column name
func (ns NamingStrategy) ColumnName(table, column string) string {
	return ns.toDBName(column)
}

// JoinTableName convert string to join table name
func (ns NamingStrategy) JoinTableName(str string) string {
	if !ns.NoLowerCase && strings.ToLower(str) == str {

So, even with the code above that doesn't use Pydantic explicitly, FastAPI is using Pydantic to convert those standard dataclasses to Pydantic's own flavor of dataclasses.

And of course, it supports the same:

* data validation
* data serialization
* data documentation, etc.

# Directory Leasing Feature - Detailed Design Document

## 1. Overview

Directory leasing extends the SMB3 lease concept to directories, enabling client-side caching of directory metadata and change notifications. This significantly improves performance for applications that frequently enumerate directories or monitor directory changes.

## 2. Protocol Specification Reference

- **MS-SMB2 Section 2.2.13.2.12**: SMB2_CREATE_REQUEST_LEASE_V2 for directories

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.core.convert;

import junit.framework.TestCase;

/**
 * @author higa
 *
 */
public class IntegerConversionUtilTest extends TestCase {

    /**
     * @throws Exception
     */