/** File generated by Grunt -- do not modify
 *  JQUERY-FORM-VALIDATOR
 *
 *  @version 2.3.77
 *  @website http://formvalidator.net/
 *  @author Victor Jonsson, http://victorjonsson.se
 *  @license MIT
 */

```

////

## Declare parâmetros de `Header`

Então declare os paramêtros de cabeçalho usando a mesma estrutura que em `Path`, `Query` e `Cookie`.

O primeiro valor é o valor padrão, você pode passar todas as validações adicionais ou parâmetros de anotação:

//// tab | Python 3.10+

```Python hl_lines="7"
{!> ../../docs_src/header_params/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

* Valida **estruturas complexas**:
    * Use modelos hierárquicos do Pydantic, `List` e `Dict` do `typing` do Python, etc.
    * Validadores permitem que esquemas de dados complexos sejam limpos e facilmente definidos, conferidos e documentados como JSON Schema.
    * Você pode ter **JSONs aninhados** profundamente e tê-los todos validados e anotados.
* **Extensível**:

///

FastAPI will now:

* **Validate** the data making sure that the max length is 50 characters
* Show a **clear error** for the client when the data is not valid

    .build();
```

Client Authentication
---------------------

The above scenario is representative of most TLS set ups: the client uses certificates to validate
the identity of a server. The converse is also possible. Here we create a server that authenticates
a client and a client that authenticates a server.

```java

## Необов'язкові залежності

Pydantic використовує:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - для валідації електронної пошти.
* <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" target="_blank"><code>pydantic-settings</code></a> - для управління налаштуваннями.

```

////

/// info | "Информация"

Чтобы использовать `EmailStr`, прежде необходимо установить <a href="https://github.com/JoshData/python-email-validator" class="external-link" target="_blank">`email-validator`</a>.
Используйте `pip install email-validator`
или `pip install pydantic[email]`.

///

Далее мы используем нашу модель в аннотациях типа как для аргумента функции, так и для выходного значения:

  }
  if (remote) {
    TFE_OpSetDevice(matmul, task1_name, status);
    ASSERT_EQ(TF_GetCode(status), TF_OK) << TF_Message(status);
  } else if (!async) {
    // Set the local device to CPU to easily validate mirroring
    string cpu_device_name;
    ASSERT_TRUE(GetDeviceName(ctx, &cpu_device_name, "CPU"));
    TFE_OpSetDevice(matmul, cpu_device_name.c_str(), status);

			if err != nil {
				rpt.SetStatus(bucket, fileName, err)
				continue
			}
			// Validate the received bucket policy document
			if err = bucketLifecycle.Validate(rcfg); err != nil {
				rpt.SetStatus(bucket, fileName, err)
				continue
			}

			// Validate the transition storage ARNs
			if err = validateTransitionTier(bucketLifecycle); err != nil {
				rpt.SetStatus(bucket, fileName, err)

			[]byte("10000;chunk-signature=ad80c730a21e5b8d04586a2213dd63b9a0e99e0e2307b0ade35a65485a288648    \t \n"),
			[]byte("10000"),
			[]byte("ad80c730a21e5b8d04586a2213dd63b9a0e99e0e2307b0ade35a65485a288648"),
		},
	}
	// Validate chunk extension removal.
	for i, tt := range tests {
		// Extract chunk size and chunk signature after parsing a standard chunk-extension format.
		hexChunkSize, hexChunkSignature := parseS3ChunkExtension(tt.buf)