*/
    public String getUrl() {
        return url;
    }

    /**
     * Checks whether the crawling process should be aborted due to this exception.
     *
     * @return true if the crawling should be aborted, false otherwise
     */
    public boolean aborted() {
        return abort;
    }

	}

	uploadContent := "The specified multipart upload does not exist. The upload ID might be invalid, or the multipart upload might have been aborted or completed."
	var opts ObjectOptions
	// check before paging occurs.
	for i := range 5 {
		key := "obj" + strconv.Itoa(i)

const (
	// a heal sequence with this many un-consumed heal result
	// items blocks until heal-status consumption resumes or is
	// aborted due to timeout.
	maxUnconsumedHealResultItems = 1000

	// if no heal-results are consumed (via the heal-status API)
	// for this timeout duration, the heal sequence is aborted.
	healUnconsumedTimeout = 24 * time.Hour

	// time-duration to keep heal sequence state after it
	// completes.

        } catch (UnrecognizedOptionException e) {
            // pure user error, suppress stack trace
            return 1;
        } catch (BuildAbort e) {
            CLIReportingUtils.showError(slf4jLogger, "ABORTED", e, cliRequest.showErrors);

            return 2;
        } catch (Exception e) {
            CLIReportingUtils.showError(slf4jLogger, "Error executing Maven.", e, cliRequest.showErrors);

            return 1;

// This operation lists in-progress multipart uploads. An in-progress
// multipart upload is a multipart upload that has been initiated,
// using the Initiate Multipart Upload request, but has not yet been
// completed or aborted. This operation returns at most 1,000 multipart
// uploads in the response.
func (api objectAPIHandlers) ListMultipartUploadsHandler(w http.ResponseWriter, r *http.Request) {
	ctx := newContext(r, w, "ListMultipartUploads")

  EXPECT_EQ(TF_FAILED_PRECONDITION,
            static_cast<TF_Code>(tensorflow::error::FAILED_PRECONDITION));
  EXPECT_EQ(TF_ABORTED, static_cast<TF_Code>(tensorflow::error::ABORTED));
  EXPECT_EQ(TF_OUT_OF_RANGE,
            static_cast<TF_Code>(tensorflow::error::OUT_OF_RANGE));
  EXPECT_EQ(TF_UNIMPLEMENTED,
            static_cast<TF_Code>(tensorflow::error::UNIMPLEMENTED));

- DRA: When the prioritized list feature was used in a request and the resulting number of allocated devices exceeded the number of allowed devices per claim, the scheduler aborted the attempt to allocate devices early. Previously, it tried to many different combinations, which could take a long time. ([#130593](https://github.com/kubernetes/kubernetes/pull/130593), [@mortent](https://github.com/mortent)) [SIG Apps, Node, Scheduling...