*/
package okhttp3.recipes;

import java.io.IOException;
import okhttp3.Credentials;
import okhttp3.Interceptor;
import okhttp3.OkHttpClient;
import okhttp3.Request;
import okhttp3.Response;

public final class PreemptiveAuth {
  private final OkHttpClient client;

  public PreemptiveAuth() {
    client = new OkHttpClient.Builder()
        .addInterceptor(

import groovy.lang.Binding;
import groovy.lang.GroovyClassLoader;
import groovy.lang.GroovyShell;

public class GroovyEngine extends AbstractScriptEngine {
    private static final Logger logger = LogManager.getLogger(GroovyEngine.class);

    @Override
    public Object evaluate(final String template, final Map<String, Object> paramMap) {

 * href="https://github.com/google/guava/wiki/ConditionalFailuresExplained">verification check</a>,
 * including those performed by the convenience methods of the {@link Verify} class.
 *
 * @since 17.0
 */
@GwtCompatible
@ElementTypesAreNonnullByDefault
public class VerifyException extends RuntimeException {
  /** Constructs a {@code VerifyException} with no message. */
  public VerifyException() {}

from fastapi import FastAPI
from fastapi.testclient import TestClient
from pydantic import BaseModel

app = FastAPI()


class Model(BaseModel):
    pass


class Model2(BaseModel):
    a: Model


class Model3(BaseModel):
    c: Model
    d: Model2


@app.get("/", response_model=Model3)
def f():
    return {"c": {}, "d": {"a": {}}}


client = TestClient(app)


def test_get_api_route():

```Python hl_lines="1"
{!../../docs_src/first_steps/tutorial001.py!}
```

`FastAPI` là một Python class cung cấp tất cả chức năng cho API của bạn.

/// note | "Chi tiết kĩ thuật"

`FastAPI` là một class kế thừa trực tiếp `Starlette`.

Bạn cũng có thể sử dụng tất cả <a href="https://www.starlette.io/" class="external-link" target="_blank">Starlette</a> chức năng với `FastAPI`.

///

from typing import Optional

from fastapi import FastAPI
from pydantic import BaseModel


class Item(BaseModel):
    name: str
    description: Optional[str] = None


app = FastAPI(separate_input_output_schemas=False)


@app.post("/items/")
def create_item(item: Item):
    return item


@app.get("/items/")
def read_items() -> list[Item]:
    return [
        Item(
            name="Portal Gun",

from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel


class Item(BaseModel):
    name: str
    description: Union[str, None] = None
    price: float
    tax: Union[float, None] = None


app = FastAPI()


@app.post("/items/")
async def create_item(item: Item):
    item_dict = item.dict()
    if item.tax:
        price_with_tax = item.price + item.tax

from fastapi import FastAPI, Query
from pydantic import BaseModel, Field
from typing_extensions import Annotated, Literal

app = FastAPI()


class FilterParams(BaseModel):
    model_config = {"extra": "forbid"}

    limit: int = Field(100, gt=0, le=100)
    offset: int = Field(0, ge=0)
    order_by: Literal["created_at", "updated_at"] = "created_at"
    tags: list[str] = []


@app.get("/items/")

import jcifs.dcerpc.ndr.NdrException;
import jcifs.dcerpc.ndr.NdrObject;
import jcifs.dcerpc.ndr.NdrSmall;


@SuppressWarnings ( "all" )
public class lsarpc {

    public static String getSyntax () {
        return "12345778-1234-abcd-ef00-0123456789ab:0.0";
    }

    public static class LsarQosInfo extends NdrObject {

        public int length;
        public short impersonation_level;
        public byte context_mode;

     * might not run some of its listeners. The likely result is that the app will hang. (And of
     * course stack overflows are bad news in general. For example, we may have overflowed in the
     * middle of defining a class. If so, that class will never be loadable in this process.) The
     * best we can do (since logging may overflow the stack) is to let the error propagate. Because