---

Se você usar o Pycharm, você pode:

* Abrir o menu "Executar".
* Selecionar a opção "Depurar...".
* Então um menu de contexto aparece.
* Selecionar o arquivo para depurar (neste caso, `main.py`).

Em seguida, ele iniciará o servidor com seu código **FastAPI**, parará em seus pontos de interrupção, etc.

Veja como pode parecer:

      if (!response.isSuccessful()) throw new IOException("Unexpected code " + response);

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

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

        .url(server.url("/"))
        .build());
    Response response = call.execute();
    System.out.println(response.handshake().tlsVersion());
  }

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

      for (Certificate certificate : response.handshake().peerCertificates()) {
        System.out.println(CertificatePinner.pin(certificate));
      }
    }
  }

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

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():

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():

## Wykonywanie kodu

Wszystkie fragmenty kodu mogą być skopiowane bezpośrednio i użyte (są poprawnymi i przetestowanymi plikami).

Żeby wykonać każdy przykład skopiuj kod to pliku `main.py` i uruchom `uvicorn` za pomocą:

<div class="termy">

```console
$ uvicorn main:app --reload

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)

                            },
                        },
                    },
                }
            },
            "/": {
                "get": {
                    "summary": "Main",
                    "operationId": "main__get",
                    "responses": {
                        "200": {
                            "description": "Successful Response",

  TF_Tensor* input;
  TF_Status* s = TF_NewStatus();
  TF_GetInput(ctx, 0, &input, s);
  TF_DeleteTensor(input);
  TF_DeleteStatus(s);
}

// Exercises tensorflow's C API.
int main(int argc, char** argv) {
  TF_InitMain(argv[0], &argc, &argv);

  struct TF_StringStream* s = TF_GetLocalTempDirectories();
  const char* path;

  if (!TF_StringStreamNext(s, &path)) {

        # Prefix the list here with "+" to use these queries and those in the config file.
        # queries: ./path/to/local/query, your-org/your-repo/queries@main

    # Autobuild attempts to build any compiled languages  (C/C++, C#, or Java).
    # If this step fails, then you should remove it and run the build manually (see below)
    - name: Autobuild