<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> is a Python library to perform data validation.

You declare the "shape" of the data as classes with attributes.

And each attribute has a type.

Then you create an instance of that class with some values and it will validate the values, convert them to the appropriate type (if that's the case) and give you an object with all the data.

    //

    // ===================================================================================
    //                                                                           Attribute
    //

    // ===================================================================================
    //                                                                               Hook

    // ===================================================================================
    //                                                                           Attribute
    //                                                                           =========
    protected final FessConfig fessConfig;

    // ===================================================================================

    @property
    def __dict__(self):
        """Spoof a missing __dict__ by raising TypeError, this is how
        asyncpg.pgroto.pgproto.UUID behaves"""
        raise TypeError("vars() argument must have __dict__ attribute")


def test_pydanticv2():
    from pydantic import field_serializer

    app = FastAPI()

    @app.get("/fast_uuid")
    def return_fast_uuid():

    //

    // ===================================================================================
    //                                                                           Attribute
    //

    // ===================================================================================
    //                                                                      Search Execute

    //

    // ===================================================================================
    //                                                                           Attribute
    //

    // ===================================================================================
    //                                                                      Search Execute

    //

    // ===================================================================================
    //                                                                           Attribute
    //

    // ===================================================================================
    //                                                                      Search Execute

* For `PUT` requests to `/items/{item_id}`, read the body as JSON:
    * Check that it has a required attribute `name` that should be a `str`.
    * Check that it has a required attribute `price` that has to be a `float`.
    * Check that it has an optional attribute `is_offer`, that should be a `bool`, if present.
    * All this would also work for deeply nested JSON objects.

import jcifs.internal.util.SMBUtil;
import jcifs.util.Hexdump;

/**
 * SMB1 NT Create AndX Response message.
 *
 * This response contains information about the created or opened file,
 * including file handle, attributes, and creation disposition.
 */
public class SmbComNTCreateAndXResponse extends AndXServerMessageBlock implements SmbBasicFileInfo {

    static final int EXCLUSIVE_OPLOCK_GRANTED = 1;

    //

    // ===================================================================================
    //                                                                           Attribute
    //

    // ===================================================================================
    //                                                                      Search Execute