throws BucketOverflowException {
    int bucketSize = 0;
    for (; valueBucketHead != null; valueBucketHead = valueBucketHead.getNextInValueBucket()) {
      checkNoConflict(!value.equals(valueBucketHead.getValue()), "value", entry, valueBucketHead);
      if (++bucketSize > MAX_HASH_BUCKET_LENGTH) {
        throw new BucketOverflowException();
      }
    }
  }

		// var hv hmap
		// h = &hv
		h = stackTempAddr(init, hmapType)

		// Allocate one bucket pointed to by hmap.buckets on stack if hint
		// is not larger than BUCKETSIZE. In case hint is larger than
		// BUCKETSIZE runtime.makemap will allocate the buckets on the heap.
		// Maximum key and elem size is 128 bytes, larger objects
		// are stored with an indirection. So max bucket size is 2048+eps.

      Object key,
      Object newValue,
      @CheckForNull ImmutableMapEntry<K, V> keyBucketHead,
      boolean throwIfDuplicateKeys)
      throws BucketOverflowException {
    int bucketSize = 0;
    for (; keyBucketHead != null; keyBucketHead = keyBucketHead.getNextInKeyBucket()) {
      if (keyBucketHead.getKey().equals(key)) {
        if (throwIfDuplicateKeys) {

}

def TF_BoostedTreesBucketizeOp : TF_Op<"BoostedTreesBucketize", [Pure, SameVariadicOperandSize]> {
  let summary = "Bucketize each feature based on bucket boundaries.";

  let description = [{
An op that returns a list of float tensors, where each tensor represents the
bucketized values for a single feature.
  }];

  let arguments = (ins

	// function for hashing keys (ptr to key, seed) -> hash
	Hasher     func(unsafe.Pointer, uintptr) uintptr
	KeySize    uint8  // size of key slot
	ValueSize  uint8  // size of elem slot
	BucketSize uint16 // size of bucket
	Flags      uint32
}

// Note: flag values must match those used in the TMAP case
// in ../cmd/compile/internal/reflectdata/reflect.go:writeType.

    "HASHTABLE_SIZE",
    "REDUCE_ALL",
    "CONV_3D_TRANSPOSE",
    "VAR_HANDLE",
    "READ_VARIABLE",
    "ASSIGN_VARIABLE",
    "BROADCAST_ARGS",
    "RANDOM_STANDARD_NORMAL",
    "BUCKETIZE",
    "RANDOM_UNIFORM",
    "MULTINOMIAL",
    "GELU",
    "DYNAMIC_UPDATE_SLICE",
    "RELU_0_TO_1",
    "UNSORTED_SEGMENT_PROD",
    "UNSORTED_SEGMENT_MAX",
    "UNSORTED_SEGMENT_SUM",

			keysize = int64(d.arch.PtrSize)
			indirectKey = true
		}
		if valsize > abi.MapMaxElemBytes {
			valsize = int64(d.arch.PtrSize)
			indirectVal = true
		}

		// Construct type to represent an array of BucketSize keys
		keyname := d.nameFromDIESym(keytype)
		dwhks := d.mkinternaltype(ctxt, dwarf.DW_ABRV_ARRAYTYPE, "[]key", keyname, "", func(dwhk *dwarf.DWDie) {

# Release 2.8.0

## Major Features and Improvements

*   `tf.lite`:

    *   Added TFLite builtin op support for the following TF ops:
        *   `tf.raw_ops.Bucketize` op on CPU.
        *   `tf.where` op for data types
            `tf.int32`/`tf.uint32`/`tf.int8`/`tf.uint8`/`tf.int64`.
        *   `tf.random.normal` op for output data type `tf.float32` on CPU.

	// a series of emptyRest cells.
	h := *(**hmap)(unsafe.Pointer(&m))
	i := any(m)
	t := *(**maptype)(unsafe.Pointer(&i))

	for x := 0; x < 1<<h.B; x++ {
		b0 := (*bmap)(add(h.buckets, uintptr(x)*uintptr(t.BucketSize)))
		n := 0
		for b := b0; b != nil; b = b.overflow(t) {
			for i := 0; i < abi.MapBucketCount; i++ {
				if b.tophash[i] != emptyRest {
					n++
				}
			}
		}
		k := 0

	}
	if etyp.Size_ > abi.MapMaxElemBytes {
		mt.ValueSize = uint8(goarch.PtrSize)
		mt.Flags |= 2 // indirect value
	} else {
		mt.MapType.ValueSize = uint8(etyp.Size_)
	}
	mt.MapType.BucketSize = uint16(mt.Bucket.Size_)
	if isReflexive(ktyp) {
		mt.Flags |= 4
	}
	if needKeyUpdate(ktyp) {
		mt.Flags |= 8
	}
	if hashMightPanic(ktyp) {
		mt.Flags |= 16
	}
	mt.PtrToThis = 0