CharArrayDecorator(char[] @Nullable [] replacements) {
      this.replacements = replacements;
      this.replaceLength = replacements.length;
    }

    /*
     * Overriding escape method to be slightly faster for this decorator. We test the replacements
     * array directly, saving a method call.
     */
    @Override
    public String escape(String s) {
      int slen = s.length();

    repositoryPlugin.deployClassPath()
  }

  private fun createBndRun(workspace: Workspace): Bndrun {
    // Creating the run require string. It will always use the latest version of each bundle
    // available in the repository.
    val runRequireString =
      REQUIRED_BUNDLES.joinToString(separator = ",") {
        "osgi.identity;filter:='(osgi.identity=$it)'"
      }

   *
   * <p><b>Warning:</b> This method, which reencodes the input before processing it, is useful only
   * for cross-language compatibility. For other use cases, prefer {@link #putUnencodedChars}, which
   * is faster, produces the same output across Java releases, and processes every {@code char} in
   * the input, even if some are invalid.
   */
  @CanIgnoreReturnValue

		if versionID == "" {
			versionID = mustGetUUID()
			fi.IsLatest = true // we are creating a new version so this is latest.
		}
	}

	modTime = UTCNow() // We only preserve modTime if dstOpts.MTime is true.
	// in all other cases mtime is latest.

	fi.VersionID = versionID // set any new versionID we might have created
	fi.ModTime = modTime     // set modTime for the new versionID

    chmod +x /go/bin/mc

RUN if [ "$TARGETARCH" = "amd64" ]; then \
       curl -L -s -q https://github.com/moparisthebest/static-curl/releases/latest/download/curl-${TARGETARCH} -o /go/bin/curl; \
       chmod +x /go/bin/curl; \
    fi

# Verify binary signature using public key "RWTx5Zr1tiHQLwG9keckT0c45M3AGeHD6IvimQHpyRywVWGbP1aVSGavRUN"

# 模式的额外信息 - 例子

您可以在JSON模式中定义额外的信息。

一个常见的用例是添加一个将在文档中显示的`example`。

有几种方法可以声明额外的 JSON 模式信息。

## Pydantic `schema_extra`

您可以使用 `Config` 和 `schema_extra` 为Pydantic模型声明一个示例，如<a href="https://docs.pydantic.dev/latest/concepts/json_schema/#schema-customization" class="external-link" target="_blank">Pydantic 文档：定制 Schema </a>中所述:

//// tab | Python 3.10+

```Python hl_lines="13-21"
{!> ../../docs_src/schema_extra_example/tutorial001_py310.py!}

  // serving write operations, so that this field will be in sync with the reality.
  // +optional
  optional string commonEncodingVersion = 2;

  // The latest available observations of the storageVersion's state.
  // +optional
  // +listType=map
  // +listMapKey=type
  repeated StorageVersionCondition conditions = 3;

Bucket events can be published to the following targets:

| Supported Notification Targets    |                             |                                 |

//// tab | Pydantic v2

In Pydantic version 2, you would use the attribute `model_config`, that takes a `dict` as described in <a href="https://docs.pydantic.dev/latest/api/config/" class="external-link" target="_blank">Pydantic's docs: Configuration</a>.

func (r *Reader) SetExpectedMax(expectedMax int64) {
	r.expectedMax = expectedMax
}

// AddChecksum will add checksum checks as specified in
// https://docs.aws.amazon.com/AmazonS3/latest/userguide/checking-object-integrity.html
// Returns ErrInvalidChecksum if a problem with the checksum is found.
func (r *Reader) AddChecksum(req *http.Request, ignoreValue bool) error {
	cs, err := GetContentChecksum(req.Header)