}

    @ParameterizedTest
    @ValueSource(strings = { "", "password", "pässwörd", "1234567890abcdef" })
    @DisplayName("nTOWFv1 equals getNTHash across inputs")
    void testNTOWFv1_delegatesToGetNTHash(String password) {
        // Act
        byte[] h1 = NtlmUtil.nTOWFv1(password);
        byte[] h2 = NtlmUtil.getNTHash(password);

        // Assert

```

他們將收到一個**錯誤**回應，告訴他們查詢參數 `tool` 是不允許的：

```json
{
    "detail": [
        {
            "type": "extra_forbidden",
            "loc": ["query", "tool"],
            "msg": "Extra inputs are not permitted",
            "input": "plumbus"
        }
    ]
}
```

## 總結 { #summary }

你可以使用 **Pydantic 模型**在 **FastAPI** 中聲明**查詢參數**。😎

/// tip

他们将收到一条错误响应，表明字段 `extra` 不被允许：

```json
{
    "detail": [
        {
            "type": "extra_forbidden",
            "loc": ["body", "extra"],
            "msg": "Extra inputs are not permitted",
            "input": "Mr. Poopybutthole"
        }
    ]
}
```

## 总结 { #summary }

        javadocs = objects.newInstance(Javadocs.class);
        kotlinDslReference = objects.newInstance(KotlinDslReference.class);
    }

    /**
     * The root directory of all documentation inputs
     */
    public abstract DirectoryProperty getSourceRoot();

    /**
     * Collection of CSS files to include in generated documentation.
     */
    public abstract ConfigurableFileCollection getCssFiles();

Therefore, if you run a `tf.train.Server` in your network, anybody with access
to the network can execute arbitrary code with the privileges of the user
running the `tf.train.Server`.

## Untrusted inputs during training and prediction

TensorFlow supports a wide range of input data formats. For example it can
process images, audio, videos, and text. There are several modules specialized
in taking those formats, modifying them, and/or converting them to intermediate

例如，用戶端若傳送名為 `tool`、值為 `plumbus` 的標頭，會收到錯誤回應，指出不允許標頭參數 `tool`：

```json
{
    "detail": [
        {
            "type": "extra_forbidden",
            "loc": ["header", "tool"],
            "msg": "Extra inputs are not permitted",
            "input": "plumbus",
        }
    ]
}
```

## 停用底線轉換 { #disable-convert-underscores }

與一般標頭參數相同，當參數名稱包含底線字元時，會自動轉換為連字號。

例如，若在程式碼中有標頭參數 `save_data`，實際期望的 HTTP 標頭為 `save-data`，在文件中也會如此顯示。

```json
{
    "detail": [
        {
            "type": "extra_forbidden",
            "loc": ["cookie", "santa_tracker"],
            "msg": "Extra inputs are not permitted",
            "input": "good-list-please",
        }
    ]
}
```

## Підсумок { #summary }

        // Assert
        assertNotNull(resp, "Instance should not be null");
    }

    /**
     * All wire‑format methods should return zero regardless of inputs.
     */
    @Nested
    @DisplayName("Wire format method behaviour")
    class WireFormatMethods {
        @ParameterizedTest
        @ValueSource(ints = { 0, 1, -1, Integer.MAX_VALUE, Integer.MIN_VALUE })

```json
{
    "detail": [
        {
            "type": "extra_forbidden",
            "loc": ["cookie", "santa_tracker"],
            "msg": "Extra inputs are not permitted",
            "input": "good-list-please",
        }
    ]
}
```

## Zusammenfassung { #summary }

     *
     * Unfortunately, we don't distinguish between these two cases in our public API: Joiner.on(...)
     * and Joiner.on(...).useForNull(...) both declare the same return type: plain Joiner. To ensure
     * that users *can* pass null arguments to Joiner, we annotate it as if it always tolerates null
     * inputs, rather than as if it never tolerates them.
     *