///

```Python hl_lines="16"
{!> ../../docs_src/dependencies/tutorial011.py!}
```

////

Und auf diese Weise können wir unsere Abhängigkeit „parametrisieren“, die jetzt `"bar"` enthält, als das Attribut `checker.fixed_content`.

## Die Instanz als Abhängigkeit verwenden

```

////

这意味着 **FastAPI** 将期望类似于以下内容的请求体：

```JSON
{
    "name": "Foo",
    "description": "The pretender",
    "price": 42.0,
    "tax": 3.2,
    "tags": ["rock", "metal", "bar"],
    "image": {
        "url": "http://example.com/baz.jpg",
        "name": "The Foo live"
    }
}
```

再一次，仅仅进行这样的声明，你将通过 **FastAPI** 获得：

* 对被嵌入的模型也适用的编辑器支持（自动补全等）
* 数据转换
* 数据校验

///

#### 默认值字段有实际值的数据

但是，如果你的数据在具有默认值的模型字段中有实际的值，例如 ID 为 `bar` 的项：

```Python hl_lines="3  5"
{
    "name": "Bar",
    "description": "The bartenders",
    "price": 62,
    "tax": 20.2
}
```

这些值将包含在响应中。

#### 具有与默认值相同值的数据

如果数据具有与默认值相同的值，例如 ID 为 `baz` 的项：

                },
            ]
        }
    )


def test_post_body_json(client: TestClient):
    response = client.post("/files/", json={"file": "Foo", "token": "Bar"})
    assert response.status_code == 422, response.text
    assert response.json() == IsDict(
        {
            "detail": [
                {
                    "type": "missing",

                },
            ]
        }
    )


@needs_py39
def test_post_body_json(client: TestClient):
    response = client.post("/files/", json={"file": "Foo", "token": "Bar"})
    assert response.status_code == 422, response.text
    assert response.json() == IsDict(
        {
            "detail": [
                {
                    "type": "missing",

    MinMaxPriorityQueue<String> mmHeap =
        rawtypeToWildcard(MinMaxPriorityQueue.expectedSize(5)).create();
    Collections.addAll(mmHeap, "foo", "bar", "foobar", "barfoo", "larry", "sergey", "eric");
    assertTrue("Heap is not intact initially", mmHeap.isIntact());
    assertEquals("bar", mmHeap.peek());
    assertEquals("sergey", mmHeap.peekLast());
    assertEquals(7, mmHeap.size());

                },
            ]
        }
    )


def test_post_body_json(client: TestClient):
    response = client.post("/files/", json={"file": "Foo", "token": "Bar"})
    assert response.status_code == 422, response.text
    assert response.json() == IsDict(
        {
            "detail": [
                {
                    "type": "missing",

    List<Object> result = doConcurrentGet(cache, "bar", count, startSignal);

    assertEquals(1, callCount.get());
    for (int i = 0; i < count; i++) {
      assertThat(result.get(i)).isInstanceOf(InvalidCacheLoadException.class);
    }

    // subsequent calls should call the loader again, not get the old exception
    try {
      cache.getUnchecked("bar");
      fail();

            "type": "datasource",
            "uid": "-- Mixed --"
         },
         "fieldConfig": {
            "defaults": {
               "custom": {
                  "drawStyle": "bars",
                  "fillOpacity": 100,
                  "gradientMode": "none",
                  "showPoints": "never",
                  "stacking": {
                     "mode": "normal"
                  }

                                             "description", "label1", "label2");
  CHECK_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TF_DeleteStatus(status);
  auto* cell2 = TFE_MonitoringGetCellCounter2(counter2, "foo", "bar");
  TFE_MonitoringCounterCellIncrementBy(cell2, 2);
  EXPECT_EQ(TFE_MonitoringCounterCellValue(cell2), 2);

  TFE_MonitoringDeleteCounter1(counter1);
  TFE_MonitoringDeleteCounter2(counter2);
}