topo:            topoDualSocketHT,
			stAssignments:   state.ContainerCPUAssignments{},
			stDefaultCPUSet: cpuset.New(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11),
			numRequested:    2,
			socketMask: func() bitmask.BitMask {
				mask, _ := bitmask.NewBitMask(1)
				return mask
			}(),
			expCSet: cpuset.New(1, 7),
		},
		{
			description:     "Request 8 CPUs, BitMask on Socket 0",

// And atomically performs a bitwise AND operation on x using the bitmask
// provided as mask and returns the old value.
func (x *Int32) And(mask int32) (old int32) { return AndInt32(&x.v, mask) }

// Or atomically performs a bitwise OR operation on x using the bitmask
// provided as mask and returns the old value.
func (x *Int32) Or(mask int32) (old int32) { return OrInt32(&x.v, mask) }

// AndInt32 atomically performs a bitwise AND operation on *addr using the bitmask provided as mask
// and returns the old value.
// Consider using the more ergonomic and less error-prone [Int32.And] instead.
func AndInt32(addr *int32, mask int32) (old int32)

// AndUint32 atomically performs a bitwise AND operation on *addr using the bitmask provided as mask
// and returns the old value.

	cpuSetAcrossSocket, _ := cpuset.Parse("0-28,40-57")

	m0001, _ := bitmask.NewBitMask(0)
	m0011, _ := bitmask.NewBitMask(0, 1)
	m0101, _ := bitmask.NewBitMask(0, 2)
	m1001, _ := bitmask.NewBitMask(0, 3)
	m0111, _ := bitmask.NewBitMask(0, 1, 2)
	m1011, _ := bitmask.NewBitMask(0, 1, 3)
	m1101, _ := bitmask.NewBitMask(0, 2, 3)
	m1111, _ := bitmask.NewBitMask(0, 1, 2, 3)

	testCases := []struct {
		description   string

	minAffinitySize := len(m.numaNodes)

	// Iterate through all combinations of NUMA Nodes and build hints from them.
	hints := []topologymanager.TopologyHint{}
	bitmask.IterateBitMasks(m.numaNodes, func(mask bitmask.BitMask) {
		// First, update minAffinitySize for the current request size.
		devicesInMask := 0
		for _, device := range m.allDevices[resource] {
			if mask.AnySet(m.getNUMANodeIds(device.Topology)) {

import (
	"github.com/google/cel-go/common/types/traits"
)

// RootTypeReferenceName is the root reference that all type names should start with.
const RootTypeReferenceName = "Object"

// ObjectTraits is the bitmask that represents traits that an object should have.

	//     stop.
	var bitMask byte = 0xff >> (8*emLen - emBits)
	if em[0] & ^bitMask != 0 {
		return ErrVerification
	}

	// 7.  Let dbMask = MGF(H, emLen - hLen - 1).
	//
	// 8.  Let DB = maskedDB \xor dbMask.
	mgf1XOR(db, hash, h)

	// 9.  Set the leftmost 8 * emLen - emBits bits of the leftmost octet in DB
	//     to zero.
	db[0] &= bitMask

		m[i] += i
	}
	growflag := true
	bitmask := 0
	for k := range m {
		if k < 16 {
			bitmask |= 1 << uint(k)
		}
		if growflag {
			// grow the table
			for i := 100; i < 1000; i++ {
				m[i] = i
			}
			// trigger a gc
			runtime.GC()
			growflag = false
		}
	}
	if bitmask != 1<<16-1 {
		t.Error("missing key", bitmask)
	}
}

  // A serialized "QuantizationInfo" object to specify value ranges for some of
  // the tensors with known names.
  std::string serialized_quant_stats = "";

  // A bitmask to encode support for reduced precision inference in the model.
  tflite::optimize::ReducedPrecisionSupport support_mask =
      tflite::optimize::ReducedPrecisionSupport::None;

                    DenseIntElementsAttr& shape) {
  Type type = val_bcast.getType();
  Type elem_type = getElementTypeOrSelf(type);
  // Xla's all_reduce legalizer bitcasts to 32 bits, so only
  // element types size <= 4 bytes are supported.
  if (elem_type.isBF16() || elem_type.isF16() || elem_type.isTF32() ||
      elem_type.isF32()) {
    zero = builder.getFloatAttr(elem_type, 0);