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

```

</div>

<details markdown="1">
<summary>Nipa aṣẹ kóòdù náà <code>uvicorn main:app --reload</code>...</summary>

Àṣẹ `uvicorn main:app` ń tọ́ka sí:

* `main`: fáìlì náà 'main.py' (Python "module").
* `app` jẹ object( i.e. nǹkan) tí a ṣẹ̀dá nínú `main.py` pẹ̀lú ilà `app = FastAPI()`.

```

</div>

<details markdown="1">
<summary>درباره دستور <code>uvicorn main:app --reload</code>...</summary>

دستور `uvicorn main:app` شامل موارد زیر است:

* `main`: فایل `main.py` (ماژول پایتون ایجاد شده).
* `app`: شیء ایجاد شده در فایل `main.py` در خط `app = FastAPI()`.
* `--reload`: ریستارت کردن سرور با تغییر کد. تنها در هنگام توسعه از این گزینه استفاده شود..

</details>

### بررسی کنید

```Python hl_lines="48-52"
{!../../docs_src/websockets/tutorial001.py!}
```

Sie können Binär-, Text- und JSON-Daten empfangen und senden.

## Es ausprobieren

Wenn Ihre Datei `main.py` heißt, führen Sie Ihre Anwendung so aus:

<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)