def hello_page() -> str:
        return "Hello, World!"

    app.include_router(router)

    client = TestClient(app)

    response = client.get("/hello/", follow_redirects=False)
    assert response.status_code == 200

    response = client.get("/hello", follow_redirects=False)
    assert response.status_code == 307


def test_redirect_slashes_disabled():
    app = FastAPI(redirect_slashes=False)
    router = APIRouter()

import okhttp3.HttpUrl

/**
 * Policy on choosing which connection to use for an exchange and any retries that follow. This uses
 * the following strategies:
 *
 *  1. If the current call already has a connection that can satisfy the request it is used. Using
 *     the same connection for an initial exchange and its follow-ups may improve locality.
 *

============

Keeping the project small and stable limits our ability to accept new contributors. We are not
seeking new committers at this time, but some small contributions are welcome.

If you've found a security problem, please follow our [bug bounty][security] program.

If you've found a bug, please contribute a failing test case so we can study and fix it.

If you have a new feature idea, please build it in an external library. There are

============

Keeping the project small and stable limits our ability to accept new contributors. We are not
seeking new committers at this time, but some small contributions are welcome.

If you've found a security problem, please follow our [bug bounty][security] program.

If you've found a bug, please contribute a failing test case so we can study and fix it.

If you have a new feature idea, please build it in an external library. There are

Read more about port forwarding here: http://kubernetes.io/docs/user-guide/kubectl/kubectl_port-forward/

You can now access MinIO server on http://localhost:9000. Follow the below steps to connect to MinIO server with mc client:

  1. Download the MinIO mc client - https://min.io/docs/minio/linux/reference/minio-mc.html#quickstart

We use *Specification* and *Discovery* documents stored in Google Drive, but they present some downsides:

* They are rarely updated after creation and initial review, and then become hard to follow, especially after important decisions are made
* They are not synced with the code to reflect the eventual solution that is committed
* Google Docs is not a "code oriented" tool, like asciidoc can be

We use *Specification* and *Discovery* documents stored in Google Drive, but they present some downsides:

* They are rarely updated after creation and initial review, and then become hard to follow, especially after important decisions are made
* They are not synced with the code to reflect the eventual solution that is committed
* Google Docs is not a "code-oriented" tool, like asciidoc can be

- Follow through the wizard as above for Veeam Backup and Replication as the steps are the same between both products

- Under Backup Infrastructure -> Backup Repositories, right click and "Add Backup Repository"

- Follow the wizard.  Under the "Object Storage Backup Repository" section, choose the MinIO object storage you created above

def test_middleware():
    client = TestClient(app, base_url="https://testserver")
    response = client.get("/")
    assert response.status_code == 200, response.text

    client = TestClient(app)
    response = client.get("/", follow_redirects=False)
    assert response.status_code == 307, response.text

from fastapi.testclient import TestClient

from docs_src.custom_response.tutorial006c import app

client = TestClient(app)


def test_redirect_status_code():
    response = client.get("/pydantic", follow_redirects=False)
    assert response.status_code == 302
    assert response.headers["location"] == "https://docs.pydantic.dev/"


def test_openapi_schema():
    response = client.get("/openapi.json")