headers.add(name, value.toString())
    }

    /**
     * Adds a new header with the name and value. This may be used to add multiple headers with the
     * same name. Unlike [addHeader] this does not validate the name and
     * value.
     */
    fun addHeaderLenient(
      name: String,
      value: Any,
    ) = apply {
      addHeaderLenient(headers, name, value.toString())
    }

    ```

!!! info
    In Pydantic Version 1 war die Methode zum Parsen und Validieren eines Objekts `Item.parse_obj()`, in Pydantic Version 2 heißt die Methode `Item.model_validate()`.

!!! tip "Tipp"
    Hier verwenden wir dasselbe Pydantic-Modell wieder.

...and declare its type as the model you created, `Item`.

## Results

With just that Python type declaration, **FastAPI** will:

* Read the body of the request as JSON.
* Convert the corresponding types (if needed).
* Validate the data.
    * If the data is invalid, it will return a nice and clear error, indicating exactly where and what was the incorrect data.
* Give you the received data in the parameter `item`.

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.

An example from the official Pydantic docs:

If an incoming request does not validate correctly then a `400` response will be sent.

## `GZipMiddleware`

Handles GZip responses for any request that includes `"gzip"` in the `Accept-Encoding` header.

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> là một thư viện Python để validate dữ liệu hiệu năng cao.

Bạn có thể khai báo "hình dạng" của dữa liệu như là các lớp với các thuộc tính.

Và mỗi thuộc tính có một kiểu dữ liệu.

  // * webhooks that use this option may be reordered to minimize the number of additional invocations.
  // * to validate an object after all mutations are guaranteed complete, use a validating admission webhook instead.
  //
  // Defaults to "Never".
  // +optional
  optional string reinvocationPolicy = 10;

Using the above `id_token` we can perform an STS request to MinIO to get temporary credentials for MinIO API operations. MinIO STS API uses [JSON Web Key Set Endpoint](https://docs.wso2.com/display/IS541/JSON+Web+Key+Set+Endpoint) to validate if JWT is valid and is properly signed.

## **4. Run Sample Applications**

After installing Hive, Hadoop and Spark successfully, we can now proceed to run some sample applications to see if they are configured appropriately.  We can use Spark Pi and Spark WordCount programs to validate our Spark installation. We can also explore how to run Spark jobs from the command line and Spark shell.

### **4.1 Spark Pi**

```

```sh
mc idp ldap policy detach myminio mypolicy ----group='cn=projectx,ou=groups,ou=hwengg,dc=min,dc=io'
```


Note that the commands above attempt to validate if the given entity (user or group) exist in the LDAP directory and return an error if they are not found.

<details><summary> View **DEPRECATED** older policy association commands</summary>