### Створіть клас `Enum` { #create-an-enum-class }

Імпортуйте `Enum` і створіть підклас, що наслідується від `str` та `Enum`.

    private String css;
    /** The custom attribute name to match */
    private String attrName;
    /** The custom attribute value to match */
    private String attrValue;

    /**
     * Creates a new PrunedTag instance with the specified tag name.
     *
     * @param tag the HTML tag name to match (e.g., "div", "span", "p")
     */
    public PrunedTag(final String tag) {
        this.tag = tag;
    }

    int srcHashCode; /* srcHashCode must be set by name resolution
                      * routines before entry into addressCache
                      */

    Name() {
    }

    /**
     * Creates a NetBIOS name with the specified attributes.
     *
     * @param name the NetBIOS name (will be truncated to 15 characters if longer)
     * @param hexCode the NetBIOS name type/suffix

	yes, err := target.isActive()
	if err != nil {
		return err
	}
	if !yes {
		return errNotConnected
	}

	return nil
}

// NewWebhookTarget - creates new Webhook target.
func NewWebhookTarget(ctx context.Context, id string, args WebhookArgs, loggerOnce logger.LogOnce, transport *http.Transport) (*WebhookTarget, error) {
	ctx, cancel := context.WithCancel(ctx)

using tensorflow::tracing::TracingTensorHandle;

void TF_SetTracingImplementation(const char* name, TF_Status* s) {
  tsl::Set_TF_Status_from_Status(s, SetDefaultTracingEngine(name));
}

// Creates a new TensorFlow function, it is an execution context attached to a
// given tracing context.
TF_ExecutionContext* TF_CreateFunction(const char* fn_name, TF_Status* s) {
  return wrap(CreateTracingExecutionContext(fn_name, s));

 */
public class CrawlingInfoService {

    private static final Logger logger = LogManager.getLogger(CrawlingInfoService.class);

    /**
     * Creates a new instance of CrawlingInfoService.
     */
    public CrawlingInfoService() {
    }

    /**
     * Behavior handler for CrawlingInfoParam entities.

## Crie um SDK em TypeScript { #create-a-typescript-sdk }

Vamos começar com uma aplicação FastAPI simples:

{* ../../docs_src/generate_clients/tutorial001_py310.py hl[7:9,12:13,16:17,21] *}

因為第一個會被優先使用（路徑先匹配到）。

## 預先定義的值 { #predefined-values }

如果你有一個接收「路徑參數」的「路徑操作」，但你希望可用的「路徑參數」值是預先定義好的，你可以使用標準的 Python <abbr title="Enumeration - 列舉">`Enum`</abbr>。

### 建立 `Enum` 類別 { #create-an-enum-class }

匯入 `Enum` 並建立一個同時繼承自 `str` 與 `Enum` 的子類別。

繼承自 `str` 之後，API 文件就能知道這些值的型別必須是 `string`，並能正確地呈現。

然後建立具有固定值的類別屬性，這些就是可用的有效值：

{* ../../docs_src/path_params/tutorial005_py310.py hl[1,6:9] *}

//       name: NAME # match object names that satisfy the wildcard expression.
//       olderThan: 70h # match objects older than this value
//       createdBefore: "2006-01-02T15:04:05.00Z" # match objects created before "date"
//       tags:
//         - key: name
//           value: pick* # match objects with tag 'name', all values starting with 'pick'
//       metadata:
//         - key: content-type

// in delim.
func (b *Buffer) ReadString(delim byte) (line string, err error) {
	slice, err := b.readSlice(delim)
	return string(slice), err
}

// NewBuffer creates and initializes a new [Buffer] using buf as its
// initial contents. The new [Buffer] takes ownership of buf, and the
// caller should not use buf after this call. NewBuffer is intended to