xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
  <modelVersion>4.0.0</modelVersion>
  <groupId>com.example.group</groupId>
  <artifactId>valid-version-revision</artifactId>
  <version>${revision}</version>

  <description>
    This will test if the validation for the ci friendly versions
    is working correct.
  </description>

    * Scale up forbidden window was protecting HPA against making decision to scale up based on metrics gathered during pod initialisation (which may be invalid, for example pod may be using a lot of CPU despite not doing any "actual" work).

- Kube-apiserver now reports metrics for authorization decisions in the `apiserver_authorization_decisions_total` metric, labeled by authorizer type, name, and decision. ([#123333](https://github.com/kubernetes/kubernetes/pull/123333), [@liggitt](https://github.com/liggitt)) [SIG API Machinery, Auth and Testing]

        data[7] = (byte) (high >> 24);

        PacDataInputStream pdis = createInputStream(data);
        Date date = pdis.readFiletime();
        assertNotNull(date);
        // Allow for a small difference due to precision loss
        assertEquals(time / 1000, date.getTime() / 1000);

        // Test with null date (0x7fffffff ffffffff)

        assertEquals(domainInfo.name.maximum_length / 2, decodedInfo.name.buffer.length);

        // Verify SID
        assertNotNull(decodedInfo.sid);
        assertEquals(domainInfo.sid.revision, decodedInfo.sid.revision);
        assertEquals(domainInfo.sid.sub_authority_count, decodedInfo.sid.sub_authority_count);
    }

    @Test
    void testLsarDomainInfoEncodeDecodeWithNulls() throws NdrException {

			}
		case "salary":
			if precision, o, _ := columnType.DecimalSize(); (fullSupported || precision != 0) && precision != 2 {
				t.Fatalf("salary's precision should be 2, but got %v %v", precision, o)
			}
		case "birthday":
			if precision, _, _ := columnType.DecimalSize(); (fullSupported || precision != 0) && precision != 2 {
				t.Fatalf("birthday's precision should be 2, but got %v", precision)
			}
		}
	}

        buffer[offset + 20] = 0x02; // revision
        buffer[offset + 21] = 0x00; // padding
        SMBUtil.writeInt2(0, buffer, offset + 22); // size
        SMBUtil.writeInt4(4097, buffer, offset + 24); // ACE count > 4096
    }

    private void prepareSimpleSid(byte[] buffer, int offset) {
        buffer[offset] = 0x01; // revision
        buffer[offset + 1] = 0x01; // sub-authority count

                return sid.revision == this.revision;
            }
        }
        return false;
    }

    /**
     * Return the numeric representation of this sid such as
     * {@code S-1-5-21-1496946806-2192648263-3843101252-1029}.
     */
    @Override
    public String toString() {
        StringBuilder ret = new StringBuilder("S-").append(this.revision & 0xFF).append("-");

     * will not be used and a network request will be made.
     *
     * @param maxAge a non-negative duration. This is stored and transmitted with [TimeUnit.SECONDS]
     *     precision; finer precision will be lost.
     */
    fun maxAge(maxAge: Duration) =
      apply {
        val maxAgeSeconds = maxAge.inWholeSeconds
        require(maxAgeSeconds >= 0) { "maxAge < 0: $maxAgeSeconds" }

     * Computes the quantile value of the given dataset.
     *
     * @param dataset the dataset to do the calculation on, which must be non-empty, which will be
     *     cast to doubles (with any associated lost of precision), and which will not be mutated by
     *     this call (it is copied instead)
     * @return the quantile value
     */
    public double compute(Collection<? extends Number> dataset) {