description="MinIO object storage is fundamentally different. Designed for performance and the S3 API, it is 100% open-source. MinIO is ideal for large, private cloud environments with stringent security requirements and delivers mission-critical availability across a diverse range of workloads."

ENV MINIO_ACCESS_KEY_FILE=access_key \
    MINIO_SECRET_KEY_FILE=secret_key \
    MINIO_ROOT_USER_FILE=access_key \

        /**
         * The share password (if any).
         */
        public String password;
        /**
         * The size of the security descriptor.
         */
        public int sd_size;
        /**
         * The security descriptor bytes.
         */
        public byte[] security_descriptor;

        @Override
        public void encode(NdrBuffer _dst) throws NdrException {

    /**
     * Impersonation level - server can impersonate the client's security context on the local system
     */
    public static final int SMB2_IMPERSONATION_LEVEL_IMPERSONATION = 0x2;

    /**
     * Delegate impersonation level - server can impersonate the client's security context on remote systems
     */
    public static final int SMB2_IMPERSONATION_LEVEL_DELEGATE = 0x3;

    /**

## Version 4.9.0

_2020-09-11_

**With this release, `okhttp-tls` no longer depends on Bouncy Castle and doesn't install the
Bouncy Castle security provider.** If you still need it, you can do it yourself:

```
Security.addProvider(BouncyCastleProvider())
```

You will also need to configure this dependency:

```
dependencies {
  implementation "org.bouncycastle:bcprov-jdk15on:1.65"

    /**
     * Constructs a new DataSerializer.
     * <p>
     * Initializes the ThreadLocal Kryo instances with appropriate configuration.
     * The Kryo instances are configured to require class registration for security,
     * preventing deserialization of arbitrary classes that could lead to RCE vulnerabilities.
     * Only explicitly registered classes can be serialized/deserialized.
     * </p>
     */
    public DataSerializer() {

	public final fun check (Ljava/lang/String;[Ljava/security/cert/Certificate;)V
	public fun equals (Ljava/lang/Object;)Z
	public final fun findMatchingPins (Ljava/lang/String;)Ljava/util/List;
	public final fun getPins ()Ljava/util/Set;
	public fun hashCode ()I
	public static final fun pin (Ljava/security/cert/Certificate;)Ljava/lang/String;
	public static final fun sha1Hash (Ljava/security/cert/X509Certificate;)Lokio/ByteString;

import static org.mockito.ArgumentMatchers.any;
import static org.mockito.Mockito.doAnswer;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.when;

import java.security.SecureRandom;
import java.util.stream.Stream;

import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.DisplayName;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.params.ParameterizedTest;

# 條件式 OpenAPI { #conditional-openapi }

如果需要，你可以用設定與環境變數，依據執行環境有條件地調整 OpenAPI，甚至完全停用它。

## 關於安全性、API 與文件 { #about-security-apis-and-docs }

在正式環境中隱藏文件 UI *不應該* 是用來保護 API 的方式。

這並不會為你的 API 增添任何額外的安全性，*路徑操作* 仍舊照常可用。

若你的程式碼有安全性缺陷，它依然會存在。

隱藏文件只會讓他人更難理解如何與你的 API 互動，也可能讓你在正式環境除錯更困難。這通常僅被視為一種 [以隱匿求安全](https://en.wikipedia.org/wiki/Security_through_obscurity)。

如果你想保護 API，有許多更好的作法，例如：

- 確保針對請求本文與回應，具備定義良好的 Pydantic 模型。
- 透過依賴設定所需的權限與角色。

     */
    public static final byte SMB2_0_INFO_FILE = 1;

    /**
     * Filesystem information class
     */
    public static final byte SMB2_0_INFO_FILESYSTEM = 2;

    /**
     * Security information class
     */
    public static final byte SMB2_0_INFO_SECURITY = 3;

    /**
     * Quota information class
     */
    public static final byte SMB2_0_INFO_QUOTA = 4;

    /**

# 按条件配置 OpenAPI { #conditional-openapi }

如果需要，你可以使用设置和环境变量，按环境有条件地配置 OpenAPI，甚至完全禁用它。

## 关于安全、API 和文档 { #about-security-apis-and-docs }

在生产环境隐藏文档界面并不应该成为保护 API 的方式。

这并不会给你的 API 增加任何额外的安全性，*路径操作* 仍然会在原来的位置可用。

如果你的代码里有安全漏洞，它仍然存在。

隐藏文档只会让理解如何与 API 交互变得更困难，也可能让你在生产环境中调试更困难。这大体上可以被视为一种 [通过隐藏实现安全](https://en.wikipedia.org/wiki/Security_through_obscurity) 的做法。

如果你想保护你的 API，有很多更好的措施，例如：

- 确保为请求体和响应定义完善的 Pydantic 模型。