How to use the azure-mgmt-datalake-analytics.azure.mgmt.datalake.analytics.job.models.JobPipelineInformationPaged function in azure-mgmt-datalake-analytics

header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str')

            # Construct and send request
            request = self._client.get(url, query_parameters)
            response = self._client.send(
                request, header_parameters, stream=False, **operation_config)

            if response.status_code not in [200]:
                exp = CloudError(response)
                exp.request_id = response.headers.get('x-ms-request-id')
                raise exp

            return response

        # Deserialize response
        deserialized = models.JobPipelineInformationPaged(internal_paging, self._deserialize.dependencies)

        if raw:
            header_dict = {}
            client_raw_response = models.JobPipelineInformationPaged(internal_paging, self._deserialize.dependencies, header_dict)
            return client_raw_response

        return deserialized
    list.metadata = {'url': '/pipelines'}

response = self._client.send(
                request, header_parameters, stream=False, **operation_config)

            if response.status_code not in [200]:
                exp = CloudError(response)
                exp.request_id = response.headers.get('x-ms-request-id')
                raise exp

            return response

        # Deserialize response
        deserialized = models.JobPipelineInformationPaged(internal_paging, self._deserialize.dependencies)

        if raw:
            header_dict = {}
            client_raw_response = models.JobPipelineInformationPaged(internal_paging, self._deserialize.dependencies, header_dict)
            return client_raw_response

        return deserialized
    list.metadata = {'url': '/pipelines'}