if sdat, err := sect.Data(); err == nil {
								data := sdat[val-sect.Addr:]
								ints = make([]int64, len(data)/8)
								for i := range ints {
									ints[i] = int64(bo.Uint64(data[i*8:]))
								}
							}
						}
					}
				case isDebugFloats(s.Name):
					// Found it. Now find data section.
					if i := int(s.Section); 0 <= i && i < len(f.Sections) {

	return sa
}

func makeSecret(name, caData, token string) *v1.Secret {
	out := &v1.Secret{
		ObjectMeta: metav1.ObjectMeta{
			Name:        name,
			Namespace:   testNamespace,
			Annotations: map[string]string{v1.ServiceAccountNameKey: testServiceAccountName},
		},
		Data: map[string][]byte{},
		Type: v1.SecretTypeServiceAccountToken,
	}
	if len(caData) > 0 {
		out.Data[v1.ServiceAccountRootCAKey] = []byte(caData)
	}

      <description>
        <![CDATA[
        The {@code <dependency>} element contains information about a dependency
        of the project.
        ]]>
      </description>
      <fields>
        <field>
          <name>groupId</name>
          <version>3.0.0+</version>
          <required>true</required>
          <description>
            <![CDATA[

  <expressions>
    <expression>
      <syntax>settings.offline</syntax>
      <configuration>
        <![CDATA[
    <offline>true</offline>
    ]]></configuration>
      <description>
        <![CDATA[
      Flags the system as offline, to prevent accessing the network to resolve artifacts or execute plugins.

          <name>executionPoint</name>
          <required>false</required>
          <version>2.0.0+</version>
          <type>String</type>
          <defaultValue><![CDATA[]]></defaultValue>
          <description><![CDATA[If specified, identifies this phase as a dynamic phase to decorate the specified phase id, e.g. {@code after} or {@code before}.]]></description>
        </field>
        <field xml.attribute="true">

# Extra Data Types

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

## Other data types

		hashPathCutSet = dataUsageRoot + string(filepath.Separator)
	}
}

// hashPath calculates a hash of the provided string.
func hashPath(data string) dataUsageHash {
	if data != dataUsageRoot {
		data = strings.Trim(data, hashPathCutSet)
	}
	return dataUsageHash(path.Clean(data))
}

//msgp:ignore dataUsageHashMap
type dataUsageHashMap map[string]struct{}

// DecodeMsg implements msgp.Decodable

     * <origin><![CDATA[
     * <distributionManagement>
     * <repository>
     * <id>some-repo</id>
     * <url>scp://host/path</url>
     * </repository>
     * <snapshotRepository>
     * <id>some-snap-repo</id>
     * <url>scp://host/snapshot-path</url>
     * </snapshotRepository>
     * </distributionManagement>
     * ]]></origin>
     * <usage><![CDATA[

      "accessResultData": {
        "properties": {
          "transformerName": {
            "type": "keyword"
          },
          "encoding": {
            "type": "keyword"
          },
          "data": {
            "type": "binary"
          }
        }
      },
      "contentLength": {
        "type": "long"
      },
      "lastModified": {
        "type": "long"
      },
      "ruleId": {

* `Decimal`:
    * 标准的 Python `Decimal`。
    * 在请求和响应中被当做 `float` 一样处理。
* 您可以在这里检查所有有效的pydantic数据类型: <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Pydantic data types</a>.

## 例子

下面是一个*路径操作*的示例，其中的参数使用了上面的一些类型。

//// tab | Python 3.10+

```Python hl_lines="1  3  12-16"
{!> ../../docs_src/extra_data_types/tutorial001_an_py310.py!}
```

////