int left = 0;
    int right = 2 * k - 1;

    int minThresholdPosition = 0;
    // The leftmost position at which the greatest of the k lower elements
    // -- the new value of threshold -- might be found.

    int iterations = 0;
    int maxIterations = IntMath.log2(right - left, RoundingMode.CEILING) * 3;
    while (left < right) {
      int pivotIndex = (left + right + 1) >>> 1;

    this.ordering = ordering;
  }

  @Override
  public int compare(@Nullable T left, @Nullable T right) {
    if (left == right) {
      return 0;
    }
    if (left == null) {
      return RIGHT_IS_GREATER;
    }
    if (right == null) {
      return LEFT_IS_GREATER;
    }
    return ordering.compare(left, right);
  }

  @Override

	switch op {
	case opLt:
		return left < right
	case opLte:
		return left <= right
	case opGt:
		return left > right
	case opGte:
		return left >= right
	case opEq:
		return left == right
	case opIneq:
		return left != right
	}
	// This case does not happen
	return false
}

func boolCompare(op string, left, right bool) (bool, error) {
	switch op {
	case opEq:

      successor(pred(), succ());
      if (left == null) {
        return right;
      } else if (right == null) {
        return left;
      } else if (left.height >= right.height) {
        AvlNode<E> newTop = pred();
        // newTop is the maximum node in my left subtree
        newTop.left = left.removeMax(newTop);
        newTop.right = right;
        newTop.distinctElements = distinctElements - 1;

  @Override
  @SuppressWarnings("unchecked") // TODO(kevinb): the right way to explain this??
  public int compare(Comparable<?> left, Comparable<?> right) {
    checkNotNull(left); // right null is caught later
    if (left == right) {
      return 0;
    }

    return ((Comparable<Object>) right).compareTo(left);
  }

  @Override
  public <S extends Comparable<?>> Ordering<S> reverse() {

      successor(pred(), succ());
      if (left == null) {
        return right;
      } else if (right == null) {
        return left;
      } else if (left.height >= right.height) {
        AvlNode<E> newTop = pred();
        // newTop is the maximum node in my left subtree
        newTop.left = left.removeMax(newTop);
        newTop.right = right;
        newTop.distinctElements = distinctElements - 1;

}

.announce-wrapper #announce-left div.item {
  display: none;
}

.announce-wrapper #announce-right {
  display: none;
}

.announce-wrapper #announce-right div.item {
  display: none;
}

.announce-wrapper .sponsor-badge {
  display: block;
  position: absolute;
  top: -10px;
  right: 0;
  font-size: 0.5rem;
  color: #e6e6e6;
  background-color: #666;
  border-radius: 10px;

  @Override
  @SuppressWarnings("unchecked") // TODO(kevinb): the right way to explain this??
  public int compare(Comparable<?> left, Comparable<?> right) {
    checkNotNull(left); // for GWT
    checkNotNull(right);
    return ((Comparable<Object>) left).compareTo(right);
  }

  @Override
  @SuppressWarnings("unchecked") // TODO(kevinb): the right way to explain this??

          return classify(Integer.compare(left, right));
        }

        @Override
        public ComparisonChain compare(long left, long right) {
          return classify(Long.compare(left, right));
        }

        @Override
        public ComparisonChain compare(float left, float right) {
          return classify(Float.compare(left, right));
        }

<div style="text-align: right; margin-right: 10%;">Kabir Khan - <strong>Microsoft</strong> <a href="https://github.com/fastapi/fastapi/pull/26" target="_blank"><small>(ref)</small></a></div>

---

"_We adopted the **FastAPI** library to spawn a **REST** server that can be queried to obtain **predictions**. [for Ludwig]_"