* @param type the SID type
     * @param domainName the domain name for this SID
     * @param acctName the account name for this SID
     * @param decrementAuthority whether to decrement the authority count
     */
    public SID(final rpc.sid_t sid, final int type, final String domainName, final String acctName, final boolean decrementAuthority) {
        this.revision = sid.revision;

이 문서에는 코드의 다른 영역에서 사용할 수 있는 lifespan 상태를 처리하는 방법도 포함되어 있습니다.

///

## 서브 애플리케이션

			break
		}
	}
	// Zero-argument macros are tricky.
	if len(macro.args) == 0 && len(args) == 1 && args[0] == nil {
		args = nil
	} else if len(args) != len(macro.args) {
		in.Error("wrong arg count for macro", macro.name)
	}
	argMap := make(map[string][]Token)
	for i, arg := range args {
		argMap[macro.args[i]] = arg
	}
	return argMap
}

      frameHeader(
        streamId = 0,
        length = settings.size() * 6,
        type = TYPE_SETTINGS,
        flags = FLAG_NONE,
      )
      for (i in 0 until Settings.COUNT) {
        if (!settings.isSet(i)) continue
        sink.writeShort(i)
        sink.writeInt(settings[i])
      }
      sink.flush()
    }
  }

  /**

            Map<String, String> fieldRuleMap = newLinkedHashMap();
            fieldRuleMap.put("title", "//TITLE");
            fieldRuleMap.put("body", "//BODY");
            fieldRuleMap.put("pcount", "count(//P)");
            fieldRuleMap.put("true", "true()");
            fieldRuleMap.put("false", "false()");
            xpathTransformer.setFieldRuleMap(fieldRuleMap);
        }
        {

        assertTrue(str.contains("partialResults=true"));
        assertTrue(str.contains("facetResponse="));
    }

    public void test_largeRecordCount() {
        // Test with large record count
        long largeCount = Long.MAX_VALUE;
        SearchResult result = SearchResult.create().allRecordCount(largeCount).build();

        assertEquals(largeCount, result.getAllRecordCount());
    }

# Recommended: Configure Docker. (Linux only)
#
#   TF uses hub.docker.com/r/tensorflow/build containers for CI,
#   and scripts on Linux create a persistent container called "tf"
#   which mounts your TensorFlow directory into the container.
#
#   Important: because the container is persistent, you cannot change TFCI
#   variables in between script executions. To forcibly remove the

    Comparator<Object> valueComparator = (Comparator<Object>) stream.readObject();
    int keyCount = stream.readInt();
    if (keyCount < 0) {
      throw new InvalidObjectException("Invalid key count " + keyCount);
    }
    ImmutableMap.Builder<Object, ImmutableSet<Object>> builder = ImmutableMap.builder();
    int tmpSize = 0;

    for (int i = 0; i < keyCount; i++) {

				success := true
				if err := r.ReplicateFromSource(ctx, api, core, oi, retry); err != nil {
					// object must be deleted concurrently, allow these failures but do not count them
					if isErrVersionNotFound(err) || isErrObjectNotFound(err) {
						return
					}
					stopFn(oi, err)
					batchLogIf(ctx, err)
					success = false
				} else {
					stopFn(oi, nil)
				}

			offlineDisks[ep]++
			continue
		}
		onlineDisks[ep]++
	}

	rootDiskCount := 0
	for _, di := range disksInfo {
		if di.RootDisk {
			rootDiskCount++
		}
	}

	// Count offline disks as well to ensure consistent
	// reportability of offline drives on local setups.
	if len(disksInfo) == (rootDiskCount + offlineDisks.Sum()) {
		// Success.
		return onlineDisks, offlineDisks
	}