./mc ready minio1 --insecure
./mc ready minio2 --insecure

# Prepare data for tests
echo -n "Preparing test data ..."
mkdir -p /tmp/data
echo "Hello from encrypted world" >/tmp/data/encrypted
touch /tmp/data/mpartobj
shred -s 500M /tmp/data/mpartobj
touch /tmp/data/defpartsize
shred -s 500M /tmp/data/defpartsize
touch /tmp/data/custpartsize
shred -s 500M /tmp/data/custpartsize
echo "done"

# Add replication site

 * Implementations can specify how long cached data should be retained.
 *
 * @since 4.0.0
 */
@Experimental
public interface CacheMetadata {

    /**
     * Returns the cache retention that should be applied to the associated data.
     *
     * @return The CacheRetention indicating how long data should be retained, or null if
     *         no specific cache retention is defined
     */

    person_data = {"name": "Dive", "lastname": "Wilson"}
    response = client.post("/people/", json=person_data)
    data = response.json()
    assert response.status_code == 200, response.text
    assert data["name"] == person_data["name"]
    assert data["lastname"] == person_data["lastname"]

	}

	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

            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)

        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) {