_ = x[ErrRequestTimedout-175]
	_ = x[ErrClientDisconnected-176]
	_ = x[ErrTooManyRequests-177]
	_ = x[ErrInvalidRequest-178]
	_ = x[ErrTransitionStorageClassNotFoundError-179]
	_ = x[ErrInvalidStorageClass-180]
	_ = x[ErrBackendDown-181]
	_ = x[ErrMalformedJSON-182]
	_ = x[ErrAdminNoSuchUser-183]
	_ = x[ErrAdminNoSuchUserLDAPWarn-184]
	_ = x[ErrAdminLDAPExpectedLoginName-185]
	_ = x[ErrAdminNoSuchGroup-186]

			<version>1.7.36</version>
			<scope>test</scope>
		</dependency>
		<dependency>
			<groupId>org.bouncycastle</groupId>
			<artifactId>bcprov-jdk18on</artifactId>
			<version>1.80</version>
		</dependency>
		<dependency>
			<groupId>org.junit.jupiter</groupId>
			<artifactId>junit-jupiter-api</artifactId>
			<version>5.10.3</version>
			<scope>test</scope>
		</dependency>

number then GCD algorithm provides affinity towards odd number erasure sets to provide for uniform distribution across nodes*. This is to ensure that same number of drives are pariticipating in any erasure set. For example if you have 2 nodes with 180 drives then GCD is 15 but this would lead to uneven distribution, one of the nodes would participate more drives. To avoid this the affinity is given towards nodes which leads to next best GCD factor of 12 which provides uniform distribution.

-...

            securityDescriptorBytes[i] = 0;
        // DACL at offset 20
        securityDescriptorBytes[16] = 20;
        securityDescriptorBytes[17] = 0;
        securityDescriptorBytes[18] = 0;
        securityDescriptorBytes[19] = 0;

        // DACL header at offset 20
        securityDescriptorBytes[20] = 2; // ACL revision
        securityDescriptorBytes[21] = 0; // sbz1

        message[12] = 24; // Length
        message[13] = 0;
        message[14] = 24; // Max Length
        message[15] = 0;
        message[16] = 64; // Offset
        message[17] = 0;
        message[18] = 0;
        message[19] = 0;

        // NT Response (24 bytes at offset 88)
        message[20] = 24; // Length
        message[21] = 0;
        message[22] = 24; // Max Length
        message[23] = 0;

            SMBUtil.writeInt2(0, buffer, offset + 14);

            // Network address offset (2 bytes)
            SMBUtil.writeInt2(0, buffer, offset + 16);

            // Padding
            buffer[offset + 18] = 0;
            buffer[offset + 19] = 0;

            // Write string data at stringOffset
            System.arraycopy(pathBytes, 0, buffer, stringOffset, pathBytes.length);

						}
					}
					if len(fromColumns) > 0 {
						db.Statement.AddClause(clause.Returning{Columns: fromColumns})
					}
				}
			}
		}

		if db.Statement.SQL.Len() == 0 {
			db.Statement.SQL.Grow(180)
			db.Statement.AddClauseIfNotExists(clause.Insert{})
			db.Statement.AddClause(ConvertToCreateValues(db.Statement))

			db.Statement.Build(db.Statement.BuildClauses...)
		}

		isDryRun := !db.DryRun && db.Error == nil

        .addHeader("Cache-Control: max-age=180")
        .build(),
    )
  }

  @Test
  fun maxAgePreferredOverHigherMaxAge() {
    assertNotCached(
      MockResponse
        .Builder()
        .addHeader("Date: " + formatDate(-2, TimeUnit.MINUTES))
        .addHeader("Cache-Control: s-maxage=180")
        .addHeader("Cache-Control: max-age=60")
        .build(),

              <rules>
                <requireMavenVersion>
                  <version>3.0.5</version>
                </requireMavenVersion>
                <requireJavaVersion>
                  <version>1.8.0</version>
                </requireJavaVersion>
              </rules>
            </configuration>
          </execution>
        </executions>
      </plugin>
    </plugins>
    <pluginManagement>

              <rules>
                <requireMavenVersion>
                  <version>3.0.5</version>
                </requireMavenVersion>
                <requireJavaVersion>
                  <version>1.8.0</version>
                </requireJavaVersion>
              </rules>
            </configuration>
          </execution>
        </executions>
      </plugin>
    </plugins>
    <pluginManagement>