client = TestClient(app)


def test_get_users():
    """Check that /users returns expected data"""
    response = client.get("/users")
    assert response.status_code == 200, response.text
    assert response.json() == [{"user_id": "u1"}, {"user_id": "u2"}]


def test_get_user():
    """Check that /users/{user_id} returns expected data"""
    response = client.get("/users/abc123")

            }

            @Override
            public boolean equals(Object o) {
                return o instanceof DefaultArtifactResolverRequest that
                        && Objects.equals(coordinates, that.coordinates)
                        && Objects.equals(repositories, that.repositories);
            }

            @Override
            public int hashCode() {

the MinIO server's config sub-directory that is used to store certificates. By default, the location is
`/<user-running-minio>/.minio/certs`.

*Tip*: In a standard Kubernetes configuration, this will be `/root/.minio/certs`. Kubernetes will mount the secrets volume read-only,

     * @param collisions The POM files of the projects that collided, indexed by their g:a:v, may be {@code null}.
     */
    public DuplicateProjectException(String message, Map<String, List<File>> collisions) {
        super(message, (File) null);

        this.collisions = (collisions != null) ? collisions : new LinkedHashMap<>();
    }

    /**
     * Gets the POM files of the projects that collided.
     *

title: TensorFlow, Large-scale machine learning on heterogeneous systems

Create functions with a name that starts with `test_` (this is standard `pytest` conventions).

Use the `TestClient` object the same way as you do with `httpx`.

Write simple `assert` statements with the standard Python expressions that you need to check (again, standard `pytest`).

{* ../../docs_src/app_testing/tutorial001_py39.py hl[2,12,15:18] *}

/// tip

Notice that the testing functions are normal `def`, not `async def`.

For that, you can use the `WSGIMiddleware` and use it to wrap your WSGI application, for example, Flask, Django, etc.

## Using `WSGIMiddleware` { #using-wsgimiddleware }

You need to import `WSGIMiddleware`.

Then wrap the WSGI (e.g. Flask) app with the middleware.

And then mount that under a path.

{* ../../docs_src/wsgi/tutorial001_py39.py hl[2:3,3] *}

 */
@Experimental
public interface DependencyResolver extends Service {

    /**
     * Collects the transitive dependencies of some artifacts and builds a dependency graph for the given path scope.
     * Note that this operation is only concerned about determining the coordinates of the transitive dependencies and
     * does not actually resolve the artifact files.
     *
     * @param session the {@link Session}, must not be {@code null}

## Mounting a **FastAPI** application { #mounting-a-fastapi-application }

"Mounting" means adding a completely "independent" application in a specific path, that then takes care of handling everything under that path, with the _path operations_ declared in that sub-application.

### Top-level application { #top-level-application }

First, create the main, top-level, **FastAPI** application, and its *path operations*:

Note that the go_darwin_$GOARCH_exec wrapper uninstalls any existing app identified by
the bundle id before installing a new app. If the uninstalled app is the last app by
the developer identity, the device might also remove the permission to run apps from
that developer, and the exec wrapper will fail to install the new app. To avoid that,