}

	harumph := Harumph{}
	if err := DB.Create(&harumph).Error; err == nil {
		t.Fatalf("should failed to create data, name can't be blank")
	}

	harumph = Harumph{Name: "jinzhu"}
	if err := DB.Create(&harumph).Error; err != nil {
		t.Fatalf("should be able to create data, but got %v", err)
	}

	var result Harumph
	if err := DB.First(&result, "id = ?", harumph.ID).Error; err != nil || harumph.Name != "jinzhu" {

查看 `/docs` 时，你会看到字段 `data` 期望接收 base64 编码的字节：

<div class="screenshot">
<img src="/img/tutorial/json-base64-bytes/image01.png">
</div>

你可以发送如下请求：

```json
{
    "description": "Some data",
    "data": "aGVsbG8="
}
```

/// tip | 提示

`aGVsbG8=` 是 `hello` 的 base64 编码。

///

随后 Pydantic 会解码该 base64 字符串，并在模型的 `data` 字段中提供原始字节。

你将会收到类似的响应：

```json
{

    name: str
    price: float


class Shop(BaseModel):
    name: str


@app.post("/products")
async def create_product(data: Product = Body(media_type=media_type, embed=True)):
    pass  # pragma: no cover


@app.post("/shops")
async def create_shop(
    data: Shop = Body(media_type=media_type),
    included: list[Product] = Body(default=[], media_type=media_type),
):
    pass  # pragma: no cover

fi

minio server -S /tmp/no-certs --address ":9001" "http://localhost:9001/tmp/multisitea/data/disterasure/xl{1...4}" \
	"http://localhost:9002/tmp/multisitea/data/disterasure/xl{5...8}" >/tmp/sitea_1.log 2>&1 &

minio server -S /tmp/no-certs --address ":9002" "http://localhost:9001/tmp/multisitea/data/disterasure/xl{1...4}" \
	"http://localhost:9002/tmp/multisitea/data/disterasure/xl{5...8}" >/tmp/sitea_2.log 2>&1 &

            response.readBytesWireFormat(buffer, 0);
        });

        // The validation correctly detects when buffer extends beyond available data
        assertTrue(exception.getMessage().contains("Security buffer extends beyond available data"),
                "Should detect security buffer overflow: " + exception.getMessage());
    }

    /**
     * Test security buffer validation against buffer overflow.

[Pydantic](https://docs.pydantic.dev/) is a Python library to perform data validation.

You declare the "shape" of the data as classes with attributes.

And each attribute has a type.

Then you create an instance of that class with some values and it will validate the values, convert them to the appropriate type (if that's the case) and give you an object with all the data.

And you get all the editor support with that resulting object.

	object := "object"

	data := make([]byte, 1*humanize.MiByte)
	length := int64(len(data))
	_, err = rand.Read(data)
	if err != nil {
		t.Fatal(err)
	}

	oi1, err := obj.PutObject(ctx, bucket, object, mustGetPutObjReader(t, bytes.NewReader(data), length, "", ""), ObjectOptions{})
	if err != nil {
		t.Fatal(err)
	}
	// 2nd version.
	_, _ = rand.Read(data)

        for (Object[] data : testData) {
            String endpoint = (String) data[0];
            String pipeName = (String) data[1];
            String expectedUuid = (String) data[2];
            int expectedMajor = (int) data[3];
            int expectedMinor = (int) data[4];

            // The interfaces are added in setUp()

        return asHtml(path_AdminBadword_AdminBadwordJsp).renderWith(data -> {
            searchPaging(data, form);
        });
    }

    /**
     * Search with paging.
     * @param data The render data.
     * @param form The search form.
     */
    protected void searchPaging(final RenderData data, final SearchForm form) {

    /**
     * Uploads an object to storage.
     *
     * @param objectName the name/path for the object
     * @param inputStream the input stream of data to upload
     * @param size the size of the data in bytes
     * @param contentType the MIME type of the content
     */
    void uploadObject(String objectName, InputStream inputStream, long size, String contentType);

    /**