def METHOD_NAME(
    self,
    name,  # type: str
    version,  # type: str
    resource_group_name,  # type: str
    registry_name,  # type: str
    body,  # type: "_models.BlobReferenceSASRequestDto"
    **kwargs  # type: Any
):
    # type: (...) -> "_models.BlobReferenceSASResponseDto"
    """get_blob_reference_sas.
    :param name:
    :type name: str
    :param version:
    :type version: str
    :param resource_group_name: The name of the resource group. The name is case insensitive.
    :type resource_group_name: str
    :param registry_name: Name of Azure Machine Learning registry.
    :type registry_name: str
    :param body:
    :type body: ~azure.mgmt.machinelearningservices.models.BlobReferenceSASRequestDto
    :keyword api_version: Api Version. The default value is "2021-10-01-dataplanepreview". Note
     that overriding this default value may result in unsupported behavior.
    :paramtype api_version: str
    :keyword callable cls: A custom type or function that will be passed the direct response
    :return: BlobReferenceSASResponseDto, or the result of cls(response)
    :rtype: ~azure.mgmt.machinelearningservices.models.BlobReferenceSASResponseDto
    :raises: ~azure.core.exceptions.HttpResponseError
    """
    cls = kwargs.pop("cls", None)  # type: ClsType["_models.BlobReferenceSASResponseDto"]
    error_map = {401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError}
    error_map.update(kwargs.pop("error_map", {}))
    api_version = kwargs.pop("api_version", "2021-10-01-dataplanepreview")  # type: str
    content_type = kwargs.pop("content_type", "application/json")  # type: Optional[str]
    _json = self._serialize.body(body, "BlobReferenceSASRequestDto")
    request = build_get_blob_reference_sas_request(
        name=name,
        version=version,
        subscription_id=self._config.subscription_id,
        resource_group_name=resource_group_name,
        registry_name=registry_name,
        api_version=api_version,
        content_type=content_type,
        json=_json,
        template_url=self.METHOD_NAME.metadata["url"],
    )
    request = _convert_request(request)
    request.url = self._client.format_url(request.url)
    pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs)
    response = pipeline_response.http_response
    if response.status_code not in [200]:
        map_error(status_code=response.status_code, response=response, error_map=error_map)
        error = self._deserialize.failsafe_deserialize(_models.ErrorResponse, pipeline_response)
        raise HttpResponseError(response=response, model=error, error_format=ARMErrorFormat)
    deserialized = self._deserialize("BlobReferenceSASResponseDto", pipeline_response)
    if cls:
        return cls(pipeline_response, deserialized, {})
    return deserialized