checkNonnegative(count, "count");

    int oldCount = self.count(element);

    int delta = count - oldCount;
    if (delta > 0) {
      self.add(element, delta);
    } else if (delta < 0) {
      self.remove(element, -delta);
    }

    return oldCount;
  }

  /** An implementation of {@link Multiset#setCount(Object, int, int)}. */

	requestTime, err := time.Parse(time.RFC3339, requestTimeStr)
	if err != nil {
		return errMalformedAuth
	}
	utcNow := UTCNow()
	delta := requestTime.Sub(utcNow)
	if delta < 0 {
		delta *= -1
	}
	if delta > DefaultSkewTime {
		return errSkewedAuthTime
	}

	return nil
}

// IsAuthValid - To authenticate and verify the time difference.

*   Disallow conversion of python floating types to uint32/64 (matching behavior
    of other integer types) in `tf.constant`.
*   Make the `gain` argument of convolutional orthogonal initializers
    (`convolutional_delta_orthogonal`, `convolutional_orthogonal_1D`,
    `convolutional_orthogonal_2D`, `convolutional_orthogonal_3D`) have
    consistent behavior with the `tf.initializers.orthogonal` initializer, i.e.