def METHOD_NAME(
    self,
    location,  # type: str
    **kwargs  # type: Any
):
    # type: (...) -> Iterable["_models.ListUsagesResult"]
    """Gets the current usage information as well as limits for AML resources for given subscription
    and location.
    :param location: The location for which resource usage is queried.
    :type location: str
    :keyword callable cls: A custom type or function that will be passed the direct response
    :return: An iterator like instance of either ListUsagesResult or the result of cls(response)
    :rtype:
     ~azure.core.paging.ItemPaged[~azure.mgmt.machinelearningservices.models.ListUsagesResult]
    :raises: ~azure.core.exceptions.HttpResponseError
    """
    api_version = kwargs.pop('api_version', "2023-06-01-preview")  # type: str
    cls = kwargs.pop('cls', None)  # type: ClsType["_models.ListUsagesResult"]
    error_map = {
        401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError
    }
    error_map.update(kwargs.pop('error_map', {}))
    def prepare_request(next_link=None):
        if not next_link:
            request = build_list_request(
                subscription_id=self._config.subscription_id,
                location=location,
                api_version=api_version,
                template_url=self.METHOD_NAME.metadata['url'],
            )
            request = _convert_request(request)
            request.url = self._client.format_url(request.url)
        else:
            request = build_list_request(
                subscription_id=self._config.subscription_id,
                location=location,
                api_version=api_version,
                template_url=next_link,
            )
            request = _convert_request(request)
            request.url = self._client.format_url(request.url)
            request.method = "GET"
        return request
    def extract_data(pipeline_response):
        deserialized = self._deserialize("ListUsagesResult", pipeline_response)
        list_of_elem = deserialized.value
        if cls:
            list_of_elem = cls(list_of_elem)
        return deserialized.next_link or None, iter(list_of_elem)
    def get_next(next_link=None):
        request = prepare_request(next_link)
        pipeline_response = self._client._pipeline.run(  # pylint: disable=protected-access
            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)
        return pipeline_response
    return ItemPaged(
        get_next, extract_data
    )