nonTransitiveDependencyScopes));
        return result;
    }

    // ===

    public static void main(String... args) {
        ScopeManagerDump.dump(Maven3ScopeManagerConfiguration.INSTANCE);
    }

                nonTransitiveDependencyScopes));
        return result;
    }

    // ===

    public static void main(String... args) {
        ScopeManagerDump.dump(Maven4ScopeManagerConfiguration.INSTANCE);
    }

    return users_list


def update_content(*, content_path: Path, new_content: Any) -> bool:
    old_content = content_path.read_text(encoding="utf-8")

    new_content = yaml.dump(new_content, sort_keys=False, width=200, allow_unicode=True)
    if old_content == new_content:
        logging.info(f"The content hasn't changed for {content_path}")
        return False

            String domA = ntlm.getUserDomain() != null ? ntlm.getUserDomain().toUpperCase() : null;
            String domB = this.getUserDomain() != null ? this.getUserDomain().toUpperCase() : null;
            return ntlm.type == this.type && Objects.equals(domA, domB) && ntlm.getUsername().equalsIgnoreCase(this.getUsername())
                    && constantTimeEquals(getPasswordAsCharArray(), ntlm.getPasswordAsCharArray());

        final long freeMemory = Runtime.getRuntime().freeMemory();
        final String msg = String.format(
                "%d words from %d %s: {\"time\":{\"parse\":%d,\"index\":%d},\"cpu\":%f,\"mem\":{\"heap\":\"%dmb\",\"used\":\"%dmb\"}}",
                items.length, size, type, parseTime, indexTime, cpuLoad, maxMemory / (1024 * 1024),
                (maxMemory - freeMemory) / (1024 * 1024));
        logger.info(msg);

success.started_data_update=Datenaktualisierungsprozess gestartet.
success.reindex_started=Neuindizierung gestartet.
success.bulk_process_started=Massenprozess gestartet.
success.print_thread_dump=Thread-Dump in eine Protokolldatei gedruckt.
success.install_plugin=Plugin {0} wird installiert.
success.delete_plugin=Plugin {0} wird gelöscht.
success.upload_file_to_storage={0} hochgeladen.
success.sso_logout=Sie wurden abgemeldet.

      output_tensors, output_names_vec, control_output_nodes,
      control_output_names_vec, description, &fdef);
  if (TF_GetCode(status) != TF_OK) {
    return nullptr;
  }

  // Dump the op creation stacktraces for debugging purpose.
  DEBUG_DATA_DUMPER()->DumpOpCreationStackTraces(
      fn_name, kDebugGroupOpStacktrace, "initial", &fn_body->graph);

  tensorflow::StackTracesMap stack_traces;

    void testHexdumpWithOffset() {
        ByteArrayOutputStream baos = new ByteArrayOutputStream();
        PrintStream ps = new PrintStream(baos);

        // Create test data and dump from offset
        byte[] data = createTestData(64);
        int offset = 16;
        int length = 32;

        Hexdump.hexdump(ps, data, offset, length);
        String output = baos.toString();

	"time"
)

func bytediff(a, b []byte) string {
	const (
		uniqueA  = "-  "
		uniqueB  = "+  "
		identity = "   "
	)
	var ss []string
	sa := strings.Split(strings.TrimSpace(hex.Dump(a)), "\n")
	sb := strings.Split(strings.TrimSpace(hex.Dump(b)), "\n")
	for len(sa) > 0 && len(sb) > 0 {
		if sa[0] == sb[0] {
			ss = append(ss, identity+sa[0])
		} else {
			ss = append(ss, uniqueA+sa[0])
			ss = append(ss, uniqueB+sb[0])
		}

   * output array, and may, under certain circumstances, be used to save allocation costs.
   *
   * <p>Suppose {@code x} is a queue known to contain only strings. The following code can be used
   * to dump the queue into a newly allocated array of {@code String}:
   *
   * <pre>
   *     String[] y = x.toArray(new String[0]);</pre>
   *