while (low <= high) {
      int mid = (low + high) >>> 1;
      int labelOffset = trieData.charAt(mid * NODE_SIZE);
      int cmp = compareLabel(label, labelOffset);

      if (cmp < 0) {
        high = mid - 1;
      } else if (cmp > 0) {
        low = mid + 1;
      } else {
        return mid;
      }
    }
    return -1;
  }

  /**

    boolean midLessThanFrom = (array[mid] < array[from]);
    boolean toLessThanFrom = (array[to] < array[from]);
    if (toLessThanMid == midLessThanFrom) {
      // Either array[to] < array[mid] < array[from] or array[from] <= array[mid] <= array[to].
      swap(array, mid, from);
    } else if (toLessThanMid != toLessThanFrom) {

          swap(array, from, to);
        }
        return array[k];
      } else {
        int midIndex = (from + to) >>> 1;
        // Choose the median of the elements at the from, to and mid indexes,
        // and rearrange so that array[from]<=array[from+1], and
        // array[to] => array[from + 1].

        swap(array, midIndex, from + 1);

        if (array[from] > array[to]) {

          swap(array, from, to);
        }
        return array[k];
      } else {
        int midIndex = (from + to) >>> 1;
        // Choose the median of the elements at the from, to and mid indexes,
        // and rearrange so that array[from]<=array[from+1], and
        // array[to] => array[from + 1].

        swap(array, midIndex, from + 1);

        if (array[from] > array[to]) {

ight","href","id","image-rendering","in","in2","intercept","k","k1","k2","k3","k4","kerning","keypoints","keysplines","keytimes","lang","lengthadjust","letter-spacing","kernelmatrix","kernelunitlength","lighting-color","local","marker-end","marker-mid","marker-start","markerheight","markerunits","markerwidth","maskcontentunits","maskunits","max","mask","mask-type","media","method","mode","min","name","numoctaves","offset","operator","opacity","order","orient","orientation","origin","overflow","p...

    * Add `compute_sparse_core_stats` for sparse core users to profile the  data with this API to get the `max_ids` and `max_unique_ids`. These numbers will be needed to configure the sparse core embedding mid level api.
    * Remove the `preprocess_features` method since that's no longer needed.

## Thanks to our Contributors

This release contains contributions from many people at Google, as well as: