### `standard` Dependencies

When you install FastAPI with `pip install "fastapi[standard]"` it comes with the `standard` group of optional dependencies:

Used by Pydantic:

* [`email-validator`](https://github.com/JoshData/python-email-validator) - for email validation.

Used by Starlette:

* [`httpx`](https://www.python-httpx.org) - Required if you want to use the `TestClient`.

FastAPI 依賴 Pydantic 與 Starlette。

### `standard` 依賴套件 { #standard-dependencies }

當你以 `pip install "fastapi[standard]"` 安裝 FastAPI 時，會包含 `standard` 這組可選依賴套件：

Pydantic 會使用：

* [`email-validator`](https://github.com/JoshData/python-email-validator) - 用於電子郵件驗證。

Starlette 會使用：

* [`httpx`](https://www.python-httpx.org) - 若要使用 `TestClient` 必須安裝。
* [`jinja2`](https://jinja.palletsprojects.com) - 若要使用預設的模板設定必須安裝。

     */
    private IpAddressUtil() {
        // Utility class - no instances allowed
    }

    /**
     * Determines if the given address string represents an IPv6 address.
     * This method validates the address using InetAddress to ensure it's a valid IPv6 address.
     *
     * @param address the IP address string to check
     * @return true if the address is a valid IPv6 address, false otherwise
     */

* Un parámetro de query `skip` que es un `int`, con un valor por defecto de `0`.
* Un parámetro de query `limit` que es un `int`, con un valor por defecto de `100`.

En ambos casos, los datos serán convertidos, validados, documentados en el esquema de OpenAPI, etc.

## Úsalo { #use-it }

Ahora puedes declarar tu dependencia usando esta clase.

{* ../../docs_src/dependencies/tutorial002_an_py310.py hl[19] *}

 */
package jcifs.util;

import java.util.concurrent.atomic.AtomicLong;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import jcifs.smb.SmbException;

/**
 * Validator for SMB server responses to prevent buffer overflow and injection attacks.
 *
 * Features:
 * - Buffer bounds checking
 * - Integer overflow prevention
 * - Size validation
 * - Protocol compliance checking

        } catch (Exception e) {
            context.invalidate();
            throw new CIFSException("Failed to update preauth integrity hash for session " + sessionId, e);
        }
    }

    /**
     * Validates the preauth integrity for completed negotiation.
     *
     * @param sessionId the session identifier
     * @param expectedHash the expected final hash
     * @return true if validation passes

{* ../../docs_src/response_model/tutorial002_py310.py hl[7,9] *}

/// info | 情報

`EmailStr` を使用するには、最初に [`email-validator`](https://github.com/JoshData/python-email-validator) をインストールしてください。

[仮想環境](../virtual-environments.md)を作成して有効化してから、例えば次のようにインストールしてください:

```console
$ pip install email-validator
```

または次のようにします:

```console
$ pip install "pydantic[email]"
```

///

		t.Fatalf("MinIO %s: Failed to create an anonymous request for bucket \"%s\": <ERROR> %v",
			instanceType, bucketName, err)
	}

	// ExecObjectLayerAPIAnonTest - Calls the HTTP API handler using the anonymous request, validates the ErrAccessDeniedResponse,
	// sets the bucket policy using the policy statement generated from `getWriteOnlyObjectStatement` so that the
	// unsigned request goes through and its validated again.

Vous pouvez utiliser toutes les mêmes fonctionnalités et outils de validation que pour les modèles Pydantic, comme différents types de données et des validations supplémentaires avec `Field()`.

{* ../../docs_src/settings/tutorial001_py310.py hl[2,5:8,11] *}

/// tip | Astuce

            assertTrue(true);
        }
    }

    @Test
    public void test_createValidator() {
        try {
            final var validator = systemHelper.createValidator(ComponentUtil.getRequestManager(), null, new Class<?>[0]);
            assertNotNull(validator);
        } catch (Exception e) {
            assertTrue(true);
        }
    }

    @Test
    public void test_setLogLevel_invalidLevel() {