Vous pouvez utiliser le paramètre `response_model` dans n'importe lequel des *chemins d'accès* :

* `@app.get()`
* `@app.post()`
* `@app.put()`
* `@app.delete()`
* etc.

{* ../../docs_src/response_model/tutorial001_py310.py hl[17,22,24:27] *}

/// note | Remarque

<p>
The built-in function <code>delete</code> removes the element with key
<code>k</code> from a <a href="#Map_types">map</a> <code>m</code>. The
value <code>k</code> must be <a href="#Assignability">assignable</a>
to the key type of <code>m</code>.
</p>

<pre class="grammar">
delete(m, k)  // remove element m[k] from map m
</pre>

<p>

        viewHelper = new ViewHelper();
        viewHelper.init();
    }

    @Override
    protected void tearDown(TestInfo testInfo) throws Exception {
        propertiesFile.delete();
        super.tearDown(testInfo);
    }

    @Test
    public void test_facetQueries() {
        final List<FacetQueryView> list = viewHelper.getFacetQueryViewList();
        assertEquals(3, list.size());

	if err != nil {
		t.Fatal(err)
	}

	for _, disk := range xl.getDisks() {
		files, _ := disk.ListDir(ctx, "", bucket, object, -1)
		for _, file := range files {
			if file != "xl.meta" {
				disk.Delete(ctx, bucket, pathJoin(object, file), DeleteOptions{
					Recursive: true,
					Immediate: false,
				})
			}
		}
	}

	gr, err := xl.GetObjectNInfo(ctx, bucket, object, nil, nil, opts)
	if err != nil {

	formatData, err := json.Marshal(format)
	if err != nil {
		return err
	}

	tmpFormat := mustGetUUID()

	// Purge any existing temporary file, okay to ignore errors here.
	defer disk.Delete(context.TODO(), minioMetaBucket, tmpFormat, DeleteOptions{
		Recursive: false,
		Immediate: false,
	})

	// write to unique file.

  for (int64_t i = 0; i < num_dims; ++i) {
    num_elements *= dims[i];
  }
  TF_Tensor* t = TF_AllocateTensor(TF_STRING, dims, num_dims,
                                   sizeof(TF_TString) * num_elements);
  delete[] dims;

  TF_TString* data = static_cast<TF_TString*>(TF_TensorData(t));
  for (int i = 0; i < batch_size; ++i) {
    TF_TString_Init(&data[i]);

如果你添加了返回类型注解，工具和编辑器会（正确地）报错，提示你的函数返回的类型（例如 `dict`）与声明的类型（例如一个 Pydantic 模型）不同。

在这些情况下，你可以使用*路径操作装饰器*参数 `response_model`，而不是返回类型。

你可以在任意*路径操作*中使用 `response_model` 参数：

* `@app.get()`
* `@app.post()`
* `@app.put()`
* `@app.delete()`
* 等等。

{* ../../docs_src/response_model/tutorial001_py310.py hl[17,22,24:27] *}

/// note | 注意

注意，`response_model` 是「装饰器」方法（`get`、`post` 等）的一个参数。不是你的*路径操作函数*的参数，不像所有查询参数和请求体那样。

///

如果你加了回傳型別註解，工具與編輯器會（正確地）抱怨你的函式回傳的型別（例如 dict）與你宣告的（例如 Pydantic 模型）不同。

在這些情況下，你可以使用「路徑操作裝飾器」參數 `response_model`，而不是函式的回傳型別。

你可以在任何「路徑操作」上使用 `response_model` 參數：

* `@app.get()`
* `@app.post()`
* `@app.put()`
* `@app.delete()`
* 等等。

{* ../../docs_src/response_model/tutorial001_py310.py hl[17,22,24:27] *}

/// note | 注意

注意 `response_model` 是「裝飾器」方法（`get`、`post` 等）的參數。不是你的「路徑操作函式」的參數（像其他參數與請求主體那樣）。

///

   * cannot be overridden by a call to a {@code set*} method, only by a call to {@link #cancel}.
   *
   * <p>If the call {@code setFuture(delegate)} is accepted and this {@code Future} is later
   * cancelled, cancellation will be propagated to {@code delegate}. Additionally, any call to
   * {@code setFuture} after any cancellation will propagate cancellation to the supplied {@code
   * Future}.
   *

    *   Add a compiler flag to enable building a TFLite library that applies
        `XNNPACK` delegate automatically when the model has a `fp32` operation.
*   GPU
    *   Allow GPU acceleration starting with internal graph nodes
    *   Experimental support for quantized models with the Android GPU delegate
    *   Add GPU delegate whitelist.
    *   Rename GPU whitelist -> compatibility (list).