from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class BaseItem(BaseModel):
    description: str
    type: str


class CarItem(BaseItem):
    type: str = "car"


class PlaneItem(BaseItem):
    type: str = "plane"
    size: int


items = {
    "item1": {"description": "All my friends drive a low rider", "type": "car"},
    "item2": {

from typing import Union

from fastapi import FastAPI
from fastapi.responses import FileResponse
from pydantic import BaseModel


class Item(BaseModel):
    id: str
    value: str


responses = {
    404: {"description": "Item not found"},
    302: {"description": "The item was moved"},
    403: {"description": "Not enough privileges"},
}


app = FastAPI()


@app.get(
    "/items/{item_id}",

Usando essas ferramentas, você pode tornar o sistema de segurança compatível com qualquer banco de dados e com qualquer usuário ou modelo de dados.

O único detalhe que falta é que ainda não é realmente "seguro".

            for (int _i = 0; _i < _uuid_nodes; _i++) {
                this.uuid.node[_i] = (byte) _src.dec_ndr_small();
            }
        }
    }

    /**
     * Unicode string structure for DCE/RPC operations.
     * Represents a Unicode string with length information.
     */
    public static class unicode_string extends NdrObject {

        /**
         * Default constructor for unicode_string.
         */

import random
from typing import Annotated, Union

from fastapi import FastAPI
from pydantic import AfterValidator

app = FastAPI()

data = {
    "isbn-9781529046137": "The Hitchhiker's Guide to the Galaxy",
    "imdb-tt0371724": "The Hitchhiker's Guide to the Galaxy",
    "isbn-9781439512982": "Isaac Asimov: The Complete Stories, Vol. 2",
}


def check_valid_id(id: str):
    if not id.startswith(("isbn-", "imdb-")):

 * directly.  Since the byte‑encoding logic is located in the superclass, the
 * tests verify that the byte buffer created by {@link
 * SmbComQueryInformation#writeBytesWireFormat(byte[], int)} is correctly built
 * for both Unicode and OEM encodings.
 */
@ExtendWith(MockitoExtension.class)
@MockitoSettings(strictness = Strictness.LENIENT)
class SmbComQueryInformationTest {

    @Mock
    Configuration mockConfig;

            bufferIndex += server.encryptionKeyLength;
            if (byteCount > server.encryptionKeyLength) {
                int len = 0;
                // Use appropriate string decoding based on Unicode flag
                try {
                    if ((flags2 & FLAGS2_UNICODE) == FLAGS2_UNICODE) {
                        while (buffer[bufferIndex + len] != (byte) 0x00 || buffer[bufferIndex + len + 1] != (byte) 0x00) {

        byte[] buffer = new byte[32];
        // Mock data for FsFullSizeInformation
        writeInt8(3000, buffer, 0); // total allocation units
        writeInt8(1500, buffer, 8); // caller available allocation units
        writeInt8(1500, buffer, 16); // actual free units (skipped)
        writeInt4(4, buffer, 24); // sectors per allocation unit
        writeInt4(8192, buffer, 28); // bytes per sector

Y entonces el nuevo OpenAPI 3.1.0 se basó en la última versión (JSON Schema 2020-12) que incluía este nuevo campo `examples`.

Y ahora este nuevo campo `examples` tiene precedencia sobre el viejo campo único (y personalizado) `example`, que ahora está obsoleto.

Este nuevo campo `examples` en JSON Schema es **solo una `list`** de ejemplos, no un dict con metadatos adicionales como en los otros lugares en OpenAPI (descritos arriba).

    resolve_files(items=config.extra_javascript, files=files, config=config)
    return files


def generate_renamed_section_items(
    items: list[Union[Page, Section, Link]], *, config: MkDocsConfig
) -> list[Union[Page, Section, Link]]:
    new_items: list[Union[Page, Section, Link]] = []
    for item in items:
        if isinstance(item, Section):
            new_title = item.title