/// info | 说明

Python 3.4 及之后版本支持<a href="https://docs.python.org/zh-cn/3/library/enum.html" class="external-link" target="_blank">枚举（即 enums）</a>。

///

/// tip | 提示

**AlexNet**、**ResNet**、**LeNet** 是机器学习<abbr title="技术上来说是深度学习模型架构">模型</abbr>。

///

### 声明*路径参数*

使用 Enum 类（`ModelName`）创建使用类型注解的*路径参数*：

{* ../../docs_src/path_params/tutorial005.py hl[16] *}

### 查看文档

Em seguida, crie atributos de classe com valores fixos, que serão os valores válidos disponíveis:

{* ../../docs_src/path_params/tutorial005_py39.py hl[1,6:9] *}

/// tip | Dica
Se você está se perguntando, "AlexNet", "ResNet" e "LeNet" são apenas nomes de <abbr title="Tecnicamente, arquiteturas de modelos de Deep Learning">modelos</abbr> de Aprendizado de Máquina.
///

### Declare um parâmetro de path { #declare-a-path-parameter }

/// info | 情報

<a href="https://docs.python.org/3/library/enum.html" class="external-link" target="_blank">Enumerations (もしくは、enums)はPython 3.4以降で利用できます</a>。

///

/// tip | 豆知識

"AlexNet"、"ResNet"そして"LeNet"は機械学習<abbr title="Technically, Deep Learning model architectures">モデル</abbr>の名前です。

///

### *パスパラメータ*の宣言

次に、作成したenumクラスである`ModelName`を使用した型アノテーションをもつ*パスパラメータ*を作成します:

    }

    /**
     * New result consisting of given result and new problem. Convenience for newResult(result.get(),
     * concat(result.getProblems(),problems)).
     *
     * @param result
     * @param problem
     */
    public static <T> Result<T> addProblem(Result<T> result, ModelProblem problem) {
        return addProblems(result, singleton(problem));
    }

    /**

    return new Present<>(
        checkNotNull(
            function.apply(reference),
            "the Function passed to Optional.transform() must not return null."));
  }

  @Override
  public boolean equals(@Nullable Object obj) {
    if (obj instanceof Present) {
      Present<?> other = (Present<?>) obj;
      return reference.equals(other.reference);
    }

 * </ul>
 *
 * @param <REQ> the type of Request that produced this result, ensuring type-safe
 *              access to the original request parameters
 *
 * @see Request
 * @since 4.0.0
 */
@Experimental
@Immutable
public interface Result<REQ extends Request<?>> {

    /**
     * Returns the request that produced this result.
     *
     * @return the originating request instance, never {@code null}
     */

				Arn: "arn1",
			}}}},
			expectedSync: false,
		},
		{ // 5. existing object replication enabled, versioning enabled, replication status Pending & reset ID present
			name: "existing object replication with reset in progress and object in Pending status",
			info: ObjectInfo{
				Size:                      100,
				ReplicationStatusInternal: "arn1:PENDING;",

	if buf.Len() > m {
		t.Log("WARNING: TestEncodeDecodensScannerOptions Msgsize() is inaccurate")
	}

	vn := nsScannerOptions{}
	err := msgp.Decode(&buf, &vn)
	if err != nil {
		t.Error(err)
	}

	buf.Reset()
	msgp.Encode(&buf, &v)
	err = msgp.NewReader(&buf).Skip()
	if err != nil {
		t.Error(err)
	}
}

func BenchmarkEncodensScannerOptions(b *testing.B) {
	v := nsScannerOptions{}
	var buf bytes.Buffer

func (b *Writer) Size() int { return len(b.buf) }

// Reset discards any unflushed buffered data, clears any error, and
// resets b to write its output to w.
// Calling Reset on the zero value of [Writer] initializes the internal buffer
// to the default size.
// Calling w.Reset(w) (that is, resetting a [Writer] to itself) does nothing.
func (b *Writer) Reset(w io.Writer) {

	if n == 0 {
		b.Reset()
		return
	}
	b.lastRead = opInvalid
	if n < 0 || n > b.Len() {
		panic("bytes.Buffer: truncation out of range")
	}
	b.buf = b.buf[:b.off+n]
}

// Reset resets the buffer to be empty,
// but it retains the underlying storage for use by future writes.
// Reset is the same as [Buffer.Truncate](0).
func (b *Buffer) Reset() {
	b.buf = b.buf[:0]
	b.off = 0