* body (meaning HTTP request body): тело запроса
* body (meaning HTTP response body): тело ответа
* body parameter : body-параметр (or `параметр тела запроса`)
* validate: валидировать (or `выполнить валидацию`)
* requirements (meaning dependencies): зависимости
* auto-reload: авто-перезагрузка (or `перезагрузить автоматически` if used as a verb)
* show (meaning show on the screen): отобразить

    private static final Pattern ID_REGEX = Pattern.compile(ID);

    private static final String ILLEGAL_REPO_ID_CHARS = "\\/:\"<>|?*"; // ILLEGAL_FS_CHARS

    @Override
    public void validate(Settings settings, SettingsProblemCollector problems) {
        if (settings.isUsePluginRegistry()) {
            addViolation(problems, Severity.WARNING, "usePluginRegistry", null, "is deprecated and has no effect.");
        }

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.

			if err != nil {
				rpt.SetStatus(bucket, fileName, err)
				continue
			}
			// Validate the received bucket policy document
			if err = bucketLifecycle.Validate(rcfg); err != nil {
				rpt.SetStatus(bucket, fileName, err)
				continue
			}

			// Validate the transition storage ARNs
			if err = validateTransitionTier(bucketLifecycle); err != nil {
				rpt.SetStatus(bucket, fileName, err)

func TestObjectNewMultipartUpload(t *testing.T) {
	if runtime.GOOS == globalWindowsOSName {
		t.Skip()
	}
	ExecObjectLayerTest(t, testObjectNewMultipartUpload)
}

// Tests validate creation of new multipart upload instance.
func testObjectNewMultipartUpload(obj ObjectLayer, instanceType string, t TestErrHandler) {
	bucket := "minio-bucket"
	object := "minio-object"
	opts := ObjectOptions{}

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:

		expectedRespStatus int
	}{
		// Test case - 1.
		// Validate a good case request succeeds.
		{
			bucketName:         bucketName,
			accessKey:          credentials.AccessKey,
			secretKey:          credentials.SecretKey,
			expectedRespStatus: http.StatusOK,
		},
		// Test case - 2.
		// Test case with invalid accessKey to produce and validate Signature Mismatch error.
		{
			bucketName:         bucketName,

          <type>java.lang.String[]</type>
          <required>false</required>
          <editable>true</editable>
        </parameter>
      </parameters>

- we need to know what came from the POM, and validate those
- plugin in any default values
- check to see if anything is missing

## Results { #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`.

			// mime package in MinIO, which correctly encodes strings with fixed B/Q encodings,
			// avoiding S3’s heuristic-driven issues.
			//
			// For MinIO developers, decode S3 metadata with mime.WordDecoder, validate outputs,
			// report encoding bugs to AWS, and use ASCII-only metadata to ensure reliable S3 API
			// compatibility.
			if needsMimeEncoding(v) {