/*
     * We want each multiplication to have both sides with approximately the same number of digits.
     * Currently, we just divide the range in half.
     */
    int mid = (n1 + n2) >>> 1;
    return oldSlowFactorial(n1, mid).multiply(oldSlowFactorial(mid, n2));
  }

  @Benchmark
  int slowFactorial(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;

      while (low < high) {
        var mid = (low + high) / 2
        // Search for a '\n' that marks the start of a value. Don't go back past the start of the
        // array.
        while (mid > -1 && this[mid] != '\n'.code.toByte()) {
          mid--
        }
        mid++

        // Now look for the ending '\n'.
        var end = 1
        while (this[mid + end] != '\n'.code.toByte()) {
          end++

    /*
     * We want each multiplication to have both sides with approximately the same number of digits.
     * Currently, we just divide the range in half.
     */
    int mid = (n1 + n2) >>> 1;
    return oldSlowFactorial(n1, mid).multiply(oldSlowFactorial(mid, n2));
  }

  @Benchmark
  int slowFactorial(int reps) {
    int tmp = 0;
    for (int i = 0; i < reps; i++) {
      int j = i & ARRAY_MASK;

): Int {
  // Do the binary searching bit.
  var low = position
  var high = limit - 1
  while (low <= high) {
    val mid = (low + high) / 2
    val compareResult = compare(mid)
    when {
      compareResult < 0 -> high = mid - 1
      compareResult > 0 -> low = mid + 1
      else -> return mid // Match!
    }
  }

  return -low - 1 // insertionPoint is before the first element.

	case debugIsOutgoingClosed:
		// params: muxID uint64, isClosed func(bool)
		muxID := args[0].(uint64)
		resp := args[1].(func(b bool))
		mid, ok := c.outgoing.Load(muxID)
		if !ok || mid == nil {
			resp(true)
			return
		}
		mid.respMu.Lock()
		resp(mid.closed)
		mid.respMu.Unlock()
	case debugBlockInboundMessages:
		c.connMu.Lock()
		block := (<-chan struct{})(args[0].(chan struct{}))

    * 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:

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1DF1F..1DF24  ; disallowed                             # NA   <reserved-1DF1F>..<reserved-1DF24>
1DF25..1DF2A  ; valid                                  # 15.0 LATIN SMALL LETTER D WITH MID-HEIGHT LEFT HOOK..LATIN SMALL LETTER T WITH MID-HEIGHT LEFT HOOK
1DF2B..1DFFF  ; disallowed                             # NA   <reserved-1DF2B>..<reserved-1DFFF>

background-repeat: repeat-x;\n}\n@mixin gradient-x-three-colors($start-color: $blue, $mid-color: $purple, $color-stop: 50%, $end-color: $red) {\n  background-image: linear-gradient(to right, $start-color, $mid-color $color-stop, $end-color);\n  background-repeat: no-repeat;\n}\n@mixin gradient-y-three-colors($start-color: $blue, $mid-color: $purple, $color-stop: 50%, $end-color: $red) {\n  background-image: linear-gradient($start-color, $mid-color $color-stop, $end-color);\n  background-repeat: no-repeat;\n}\n@mixin...