},
                        },
                    },
                }
            },
            "/": {
                "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)) {

                 std::unique_ptr<tensorflow::Tensor>* out_tensor,
                 TF_Status* out_status) const;

 private:
  // Uses "v2_reader_" to build "var name -> shape" and "var name -> data type"
  // maps; both owned by caller.
  // REQUIRES: "v2_reader_ != nullptr && v2_reader_.status().ok()".
  std::pair<std::unique_ptr<TensorSliceReader::VarToShapeMap>,
            std::unique_ptr<TensorSliceReader::VarToDataTypeMap> >

        # 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

{errorTitle:"Le formulaire n'a pas pu être envoyé!",requiredField:"Ce champ est obligatoire",requiredFields:"Vous n'avez pas rempli tous les champs",badTime:"Vous n'avez pas saisi l'heure correctement",badEmail:"Vous n'avez pas saisi une adresse e-mail valide",badTelephone:"Vous n'avez pas saisi un numéro de téléphone valide",badSecurityAnswer:"Vous avez saisi une mauvaise réponse à la question de sécurité",badDate:"Vous n'avez pas saisi une date correcte",lengthBadStart:"Votre saisie doit comporter...

```

</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)

| `license_info` | `dict` | Die Lizenzinformationen für die verfügbar gemachte API. Kann mehrere Felder enthalten. <details><summary><code>license_info<...

      System.out.println("Response 2 succeeded: " + response);
    } catch (IOException e) {
      System.out.println("Response 2 failed: " + e);
    }
  }

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