}
```

## 將它宣告為參數 { #declare-it-as-a-parameter }

要把它加到你的*路徑操作（path operation）*中，宣告方式與路徑與查詢參數相同：

{* ../../docs_src/body/tutorial001_py310.py hl[16] *}

...並將其型別宣告為你建立的模型 `Item`。

## 效果 { #results }

只靠這樣的 Python 型別宣告，**FastAPI** 會：

- 將請求本文讀取為 JSON。
- （必要時）轉換為對應的型別。
- 驗證資料。
    - 若資料無效，會回傳清楚易懂的錯誤，指出哪裡、哪筆資料不正確。
- 把接收到的資料放在參數 `item` 中提供給你。
    - 由於你在函式中將其宣告為 `Item` 型別，你也會獲得完整的編輯器支援（自動完成等）以及所有屬性與其型別。

    }

    /**
     * Sets the maximum number of session IDs to include in session ID lists.
     * This controls the size limit for aggregation results when retrieving session lists.
     *
     * @param maxSessionIdsInList the maximum number of session IDs to include in lists
     */
    public void setMaxSessionIdsInList(final int maxSessionIdsInList) {

		}

		for p := range latestMeta.Parts {
			if verifyErr != nil {
				dataErrsByPart[p][i] = convPartErrToInt(verifyErr)
			} else {
				dataErrsByPart[p][i] = verifyResp.Results[p]
			}
		}
	}

	// Build dataErrs by disk from dataErrs by part
	for part, disks := range dataErrsByPart {
		for disk := range disks {
			dataErrsByDisk[disk][part] = dataErrsByPart[part][disk]
		}

    }

    /**
     * Performs a search for path mappings based on the provided criteria.
     *
     * @param form the search form containing search criteria
     * @return HTML response with search results
     */
    @Execute
    @Secured({ ROLE, ROLE + VIEW })
    public HtmlResponse search(final SearchForm form) {
        copyBeanToBean(form, pathMapPager, op -> op.exclude(Constants.PAGER_CONVERSION_RULE));

        assertNotNull(dfsRootEnum.info);
        assertEquals(200, dfsRootEnum.info.level);
        assertNotNull(dfsRootEnum.info.e);
    }

    @Test
    @DisplayName("getEntries should return consistent results on multiple calls")
    void testGetEntries_multipleCallsConsistency() throws Exception {
        // Setup test data
        netdfs.DfsEnumArray200 testArray = new netdfs.DfsEnumArray200();
        testArray.count = 2;

  TF_Operation** return_opers;
  int num_return_opers;
  TF_ImportGraphDefResultsReturnOperations(results, &num_return_opers,
                                           &return_opers);
  ASSERT_EQ(1, num_return_opers);
  EXPECT_EQ(scalar2, return_opers[0]);  // not remapped

  TF_DeleteImportGraphDefResults(results);

  // Import again, with control dependencies, into the same graph.
  TF_DeleteImportGraphDefOptions(opts);

   * #reset} the stream explicitly, rather than rely on garbage collection: If you call {@link
   * #reset} explicitly, you can call it more promptly, and you can appropriately handle any
   * exception that results.
   *
   * @param fileThreshold the number of bytes before the stream should switch to buffering to a file
   * @param resetWhenGarbageCollected if true, the {@link #reset} method will be called when the

     * Helper: Create a web crawler config
     */
    private static void createWebConfig() {
        final Map<String, Object> requestBody = new HashMap<>();
        // Keep original external URL for stable test results
        final String urls = "https://www.codelibs.org/";
        final String includedUrls = "https://www.codelibs.org/.*";
        requestBody.put("name", NAME_PREFIX + "WebConfig");
        requestBody.put("urls", urls);

    /**
     * Searches for related query items based on the provided search criteria.
     *
     * @param form the search form containing search criteria
     * @return HTML response with filtered related query results
     */
    @Execute
    @Secured({ ROLE, ROLE + VIEW })
    public HtmlResponse search(final SearchForm form) {
        copyBeanToBean(form, relatedQueryPager, op -> op.exclude(Constants.PAGER_CONVERSION_RULE));

//     op for shape inference.
//   - The types need not be set in `input_shapes` as it is not used.
//   - The number of `input_tensors` should be the same as the number of items
//     in `input_shapes`.
//
// The results are returned in `output_shapes` and
// `output_resource_shapes_and_types`. The caller is responsible for freeing the
// memory in these buffers by calling `TF_DeleteShapeAndTypeList`.
TF_CAPI_EXPORT extern void TFE_InferShapes(