from dirty_equals import IsOneOf
from fastapi import FastAPI
from fastapi.testclient import TestClient

app = FastAPI(
    servers=[
        {"url": "/", "description": "Default, relative server"},
        {
            "url": "http://staging.localhost.tiangolo.com:8000",
            "description": "Staging but actually localhost still",
        },
        {"url": "https://prod.example.com"},
    ]
)


@app.get("/foo")
def foo():

from typing import List, Tuple

from fastapi import Depends, FastAPI, Security
from fastapi.security import SecurityScopes
from fastapi.testclient import TestClient

app = FastAPI()


def get_user(required_scopes: SecurityScopes):
    return "john", required_scopes.scopes


def get_user_override(required_scopes: SecurityScopes):
    return "alice", required_scopes.scopes


def get_data():
    return [1, 2, 3]

   * example, we could compute the appropriate throttle time for an incoming request, and make the
   * calling thread wait for that time.
   *
   * The simplest way to maintain a rate of QPS is to keep the timestamp of the last granted
   * request, and ensure that (1/QPS) seconds have elapsed since then. For example, for a rate of

import pytest
from fastapi.testclient import TestClient

from ...utils import needs_py39


@pytest.fixture(name="client")
def get_client():
    from docs_src.security.tutorial001_an_py39 import app

    client = TestClient(app)
    return client


@needs_py39
def test_no_token(client: TestClient):
    response = client.get("/items")
    assert response.status_code == 401, response.text

 *       thread, an RPC, etc. The {@code Future} is also "completed" if it fails "early" -- for
 *       example, if the deadline expires on a {@code Future} returned from {@link
 *       Futures#withTimeout} while the {@code Future} it wraps continues its underlying work. So
 *       beware: <i>Your {@code AsyncCallable} should not complete its {@code Future} until it is
 *       safe for the next task to start.</i>
 * </ul>
 *

from fastapi.testclient import TestClient

from docs_src.sub_applications.tutorial001 import app

client = TestClient(app)

openapi_schema_main = {
    "openapi": "3.1.0",
    "info": {"title": "FastAPI", "version": "0.1.0"},
    "paths": {
        "/app": {
            "get": {
                "responses": {
                    "200": {
                        "description": "Successful Response",

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(name="client")
def get_client():
    from docs_src.body_multiple_params.tutorial001_an_py310 import app

    client = TestClient(app)
    return client


@needs_py310
def test_post_body_q_bar_content(client: TestClient):

      @Override
      Splitr createSplit(Spliterator<T> from, long i) {
        return new Splitr(from, i);
      }
    }
    return StreamSupport.stream(new Splitr(fromSpliterator, 0), isParallel).onClose(stream::close);
  }

  /**
   * Returns a stream consisting of the results of applying the given function to the elements of
   * {@code stream} and their indexes in the stream. For example,
   *
   * <pre>{@code

}

// RollingUpdateStatefulSetStrategy is used to communicate parameter for RollingUpdateStatefulSetStrategyType.
message RollingUpdateStatefulSetStrategy {
  // Partition indicates the ordinal at which the StatefulSet should be partitioned
  // for updates. During a rolling update, all pods from ordinal Replicas-1 to
  // Partition are updated. All pods from ordinal Partition-1 to 0 remain untouched.

from typing import List

from fastapi import FastAPI
from fastapi._compat import PYDANTIC_V2
from fastapi.testclient import TestClient
from pydantic import BaseModel, ConfigDict, Field

app = FastAPI()


class Model(BaseModel):
    name: str = Field(alias="alias")


class ModelNoAlias(BaseModel):
    name: str

    if PYDANTIC_V2:
        model_config = ConfigDict(
            json_schema_extra={