.build();

    try (Response response = client.newCall(request).execute()) {
      System.out.println("Response completed: " + response);
    }
  }

  public static void main(String... args) throws Exception {
    new ConfigureTimeouts().run();
  }

        System.out.println(responseHeaders.name(i) + ": " + responseHeaders.value(i));
      }

      System.out.println(response.body().string());
    }
  }

  public static void main(String... args) throws Exception {
    new SynchronousGet().run();
  }

        <directory>.</directory>
        <includes>
          <include>pom.xml</include>
          <include>src/**</include>
        </includes>
      </resource>
      <resource>
        <directory>src/main/resources</directory>
      </resource>
    </resources>
  </build>

from fastapi.testclient import TestClient

from .main import app

client = TestClient(app)


def test_read_item():
    response = client.get("/items/foo", headers={"X-Token": "coneofsilence"})
    assert response.status_code == 200
    assert response.json() == {
        "id": "foo",
        "title": "Foo",
        "description": "There goes my hero",
    }


def test_read_item_bad_token():

@pytest.fixture(
    name="mod_name",
    params=[
        pytest.param("app01_py39"),
    ],
)
def get_mod_name(request: pytest.FixtureRequest):
    return f"docs_src.settings.{request.param}.main"


@pytest.fixture(name="client")
def get_test_client(mod_name: str, monkeypatch: MonkeyPatch) -> TestClient:
    if mod_name in sys.modules:
        del sys.modules[mod_name]

You can use simple tools like `htop` to see the CPU and RAM used in your server or the amount used by each process. Or you can use more complex monitoring tools, which may be distributed across servers, etc.

## Recap { #recap }

/// note | Technische Details

In der OpenAPI-Spezifikation wird das <a href="https://github.com/OAI/OpenAPI-Specification/blob/main/versions/3.0.3.md#operation-object" class="external-link" target="_blank">Operationsobjekt</a> genannt.

///

Es hat alle Informationen zur *Pfadoperation* und wird zur Erstellung der automatischen Dokumentation verwendet.

<summary>Sobre o comando <code>fastapi dev main.py</code>...</summary>

O comando `fastapi dev` lê o seu arquivo `main.py`, identifica o aplicativo **FastAPI** nele, e inicia um servidor usando o <a href="https://www.uvicorn.dev" class="external-link" target="_blank">Uvicorn</a>.

Por padrão, o `fastapi dev` iniciará com *auto-reload* habilitado para desenvolvimento local.

follow JLine's directory and filename conventions.

[1] https://github.com/jline/jline3/tree/master/native

    assert response.json() == {
        "openapi": "3.1.0",
        "info": {"title": "FastAPI", "version": "0.1.0"},
        "paths": {
            "/app": {
                "get": {
                    "summary": "Read Main",
                    "operationId": "read_main_app_get",
                    "responses": {
                        "200": {
                            "description": "Successful Response",