ioe = new InterruptedIOException(root.getMessage());
            ioe.initCause(root);
        }
        return ioe;
    }

    /**
     * Closes this input stream and releases any system resources associated with the stream.
     *
     * @throws IOException if a network error occurs
     */

    @Override
    public void close() throws IOException {
        try {
            file.close();

        assertEquals(input, result);
    }

    @Test
    void testTimeConversionRoundTrip() {
        // Test various time values
        long[] testTimes = { 1000L, 1500000000000L, System.currentTimeMillis() };
        byte[] buffer = new byte[8];

        for (long time : testTimes) {
            SMBUtil.writeTime(time, buffer, 0);
            long readTime = SMBUtil.readTime(buffer, 0);

java.lang.Object#notifyAll()

@defaultMessage Beware of the behavior of this method on MIN_VALUE
java.lang.Math#abs(int)
java.lang.Math#abs(long)

@defaultMessage Please do not try to stop the world
java.lang.System#gc()

@defaultMessage Use Channels.* methods to write to channels. Do not write directly.
java.nio.channels.WritableByteChannel#write(java.nio.ByteBuffer)
java.nio.channels.FileChannel#write(java.nio.ByteBuffer, long)

        @Override
        public int getOpnum() {
            return 0x2c;
        }

        /** Return value from the RPC call. */
        public int retval;
        /** Name of the system to connect to. */
        public String system_name;
        /** Object attributes for the policy. */
        public LsarObjectAttributes object_attributes;
        /** Desired access rights. */

///

## 깊게 중첩된 모델 { #deeply-nested-models }

임의로 깊게 중첩된 모델을 정의할 수 있습니다:

{* ../../docs_src/body_nested_models/tutorial007_py310.py hl[7,12,18,21,25] *}

/// info | 정보

`Offer`가 `Item`의 리스트를 가지고, 그 `Item`이 다시 선택 사항인 `Image` 리스트를 갖는지 주목하세요

///

## 순수 리스트의 본문 { #bodies-of-pure-lists }

예상되는 JSON 본문의 최상위 값이 JSON `array`(파이썬 `list`)라면, Pydantic 모델에서와 마찬가지로 함수의 매개변수에서 타입을 선언할 수 있습니다:

```Python

///

## 深度嵌套模型 { #deeply-nested-models }

你可以定义任意深度的嵌套模型：

{* ../../docs_src/body_nested_models/tutorial007_py310.py hl[7,12,18,21,25] *}

/// info | 信息

请注意 `Offer` 拥有一组 `Item` 而反过来 `Item` 又是一个可选的 `Image` 列表是如何发生的。

///

## 纯列表请求体 { #bodies-of-pure-lists }

如果你期望的 JSON 请求体的最外层是一个 JSON `array`（即 Python `list`），则可以在路径操作函数的参数中声明此类型，就像声明 Pydantic 模型一样：

```Python
images: list[Image]

                        </h1>
                    </div>
                    <div class="col-sm-6">
                        <ol class="breadcrumb float-sm-right">
                            <li class="breadcrumb-item active"><la:link href="/admin/badword">
                                <la:message key="labels.bad_word_link_list"/>
                            </la:link></li>
                        </ol>
                    </div>

    @Resource
    protected ClickLogBhv clickLogBhv;

    /** Behavior class for favorite log operations */
    @Resource
    protected FavoriteLogBhv favoriteLogBhv;

    /** Helper for system-level operations */
    @Resource
    protected SystemHelper systemHelper;

    /** Helper for document indexing operations */
    @Resource
    protected IndexingHelper indexingHelper;

                }
            }
        }

        private void visit(IssueManagement issueManagement) {
            if (issueManagement != null) {
                String org, val;
                // System
                org = issueManagement.getSystem();
                val = interpolate(org);
                if (org != val) {
                    issueManagement.setSystem(val);
                }

Обратите внимание, что *операции пути (обработчики пути)* определяют модели, которые они используют для полезной нагрузки запроса и полезной нагрузки ответа, с помощью моделей `Item` и `ResponseMessage`.

### Документация API { #api-docs }

Если перейти на `/docs`, вы увидите **схемы** данных, отправляемых в запросах и принимаемых в ответах:

<img src="/img/tutorial/generate-clients/image01.png">