}
  }

  /** getAndSet returns previous value and sets to given value */
  public void testGetAndSet() {
    double prev = Math.E;
    AtomicDouble at = new AtomicDouble(prev);
    for (double x : VALUES) {
      assertBitEquals(prev, at.getAndSet(x));
      prev = x;
    }
  }

  /** getAndAdd returns previous value and adds given value */
  public void testGetAndAdd() {
    for (double x : VALUES) {

		log.Debug("netns inode mismatch, using the new one")
	}

	p.addToCacheUnderLock(uid, workload)
	return workload.Netns
}

// Update the cache with the given uid and nspath. Return the Netns for the given uid.
// If uid is already present, a cached Netns is returned, and the given nspath is ignored.
func (p *podNetnsCache) Get(uid string) Netns {
	// lock current snapshot pod map
	p.mu.RLock()
	defer p.mu.RUnlock()

	}

	if len(labels)/2 != len(validLabels) {
		panic(fmt.Sprintf("not all labels were given values"))
	}

	v, ok := m.values[name]
	if !ok {
		v = make([]metricValue, 0, 1)
	}
	m.values[name] = append(v, metricValue{
		Labels: labelMap,
		Value:  value,
	})
}

// SetHistogram - sets values for the given MetricName using the provided
// histogram.
//

)

// getSHA256Hash returns SHA-256 hash in hex encoding of given data.
func getSHA256Hash(data []byte) string {
	return hex.EncodeToString(getSHA256Sum(data))
}

// getSHA256Hash returns SHA-256 sum of given data.
func getSHA256Sum(data []byte) []byte {
	hash := sha256.New()
	hash.Write(data)
	return hash.Sum(nil)
}

// getMD5Sum returns MD5 sum of given data.
func getMD5Sum(data []byte) []byte {
	hash := md5.New()

  /** Updates this hasher with the given byte. */
  protected abstract void update(byte b);

  /** Updates this hasher with the given bytes. */
  protected void update(byte[] b) {
    update(b, 0, b.length);
  }

  /** Updates this hasher with {@code len} bytes starting at {@code off} in the given buffer. */
  protected void update(byte[] b, int off, int len) {

    }

    def cleanup() {
        repository?.close()
    }

    def "each new #apiElement requires a @Incubating annotation"() {
        given:
        JApiCompatibility jApiType = getProperty(jApiTypeName)
        def rule = withContext(new IncubatingMissingRule([:]))
        def annotations = []
        jApiType.annotations >> annotations

        when:

  /**
   * Returns the data to expect the source or sink to contain given the data that was used to create
   * the source or written to the sink. Typically, this will just return the input directly, but in
   * some cases it may alter the input. For example, if the factory returns a sliced view of a
   * source created with some given bytes, this method would return a subsequence of the given
   * (byte[]) data.
   */
  T getExpected(T data);

        "toArray(sameSizeE[]) should return the given array", array, collection.toArray(array));
    expectArrayContentsAnyOrder(createSamplesArray(), array);
  }

  @CollectionFeature.Require(KNOWN_ORDER)
  public void testToArray_rightSizedArray_ordered() {
    E[] array = getSubjectGenerator().createArray(getNumElements());
    assertSame(
        "toArray(sameSizeE[]) should return the given array", array, collection.toArray(array));

        "toArray(sameSizeE[]) should return the given array", array, collection.toArray(array));
    expectArrayContentsAnyOrder(createSamplesArray(), array);
  }

  @CollectionFeature.Require(KNOWN_ORDER)
  public void testToArray_rightSizedArray_ordered() {
    E[] array = getSubjectGenerator().createArray(getNumElements());
    assertSame(
        "toArray(sameSizeE[]) should return the given array", array, collection.toArray(array));

// Return a tensor handle containing 2D matrix containing given data and
// dimensions
TFE_TensorHandle* TestMatrixTensorHandleWithInput(TFE_Context* ctx,
                                                  float data[], int64_t dims[],
                                                  int num_dims);

// Get a Matrix TensorHandle with given float values and dimensions