IsNarrowerThan(mask BitMask) bool
	IsLessThan(mask BitMask) bool
	IsGreaterThan(mask BitMask) bool
	String() string
	Count() int
	GetBits() []int
}

type bitMask uint64

// NewEmptyBitMask creates a new, empty BitMask
func NewEmptyBitMask() BitMask {
	s := bitMask(0)
	return &s
}

// NewBitMask creates a new BitMask
func NewBitMask(bits ...int) (BitMask, error) {
	s := bitMask(0)
	err := (&s).Add(bits...)

		NUMADistances: distances,
	}

	return numaInfo, nil
}

func (n *NUMAInfo) Narrowest(m1 bitmask.BitMask, m2 bitmask.BitMask) bitmask.BitMask {
	if m1.IsNarrowerThan(m2) {
		return m1
	}
	return m2
}

func (n *NUMAInfo) Closest(m1 bitmask.BitMask, m2 bitmask.BitMask) bitmask.BitMask {
	// If the length of both bitmasks aren't the same, choose the one that is narrowest.
	if m1.Count() != m2.Count() {

// 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) }

	GetAffinity(podUID string, containerName string) TopologyHint
	GetPolicy() Policy
}

// TopologyHint is a struct containing the NUMANodeAffinity for a Container
type TopologyHint struct {
	NUMANodeAffinity bitmask.BitMask
	// Preferred is set to true when the NUMANodeAffinity encodes a preferred
	// allocation for the Container. It is set to false otherwise.
	Preferred bool
}

// IsEqual checks if TopologyHint are equal

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.

//
// When the methods below mention a bit number, bit 0 is the most
// significant bit (in hi) and bit 127 is the lowest (lo&1).
type uint128 struct {
	hi uint64
	lo uint64
}

// mask6 returns a uint128 bitmask with the topmost n bits of a
// 128-bit number.
func mask6(n int) uint128 {
	return uint128{^(^uint64(0) >> n), ^uint64(0) << (128 - n)}
}

// isZero reports whether u == 0.
//

  TF_RegisterOpDefinition(op_builder, status);
  CHECK_EQ(TF_GetCode(status), TF_OK)
      << "Bitcast op registration failed: " << TF_Message(status);
  TF_DeleteStatus(status);
}

TF_ATTRIBUTE_UNUSED static bool IsBitcastOpRegistered = []() {
  if ((&TF_NewStatus != nullptr) && SHOULD_REGISTER_OP("Bitcast")) {
    RegisterBitcastOp();
  }
  return true;

func.func @bitcast_convert_i32_f32(%arg0: tensor<1x256128xi32>) -> tensor<1x256128xf32> {
  // CHECK: %[[BITCAST:.*]] = stablehlo.bitcast_convert %arg0 : (tensor<1x256128xi32>) -> tensor<1x256128xf32>
  // CHECK: %[[CONVERT:.*]] = stablehlo.convert %[[BITCAST]] : (tensor<1x256128xf32>) -> tensor<1x256128xbf16>
  // CHECK: return %[[CONVERT]] : tensor<1x256128xbf16>

  }
};

void TestBitcastOp(Tensor* input_tensor, DataType out_type,
                   TensorShape expected_shape, error::Code expected_code) {
  Status status;
  NodeDef def;
  def.set_op("Bitcast");
  def.set_device(DEVICE_CPU);

  AttrValue typeAttr;
  SetAttrValue(input_tensor->dtype(), &typeAttr);

  AttrValue outTypeAttr;
  SetAttrValue(out_type, &outTypeAttr);

        "//tensorflow/c:tf_tensor",
        "//tensorflow/core:framework",
        "//tensorflow/core:lib",
        "//tensorflow/core:protos_all_cc",
    ],
)

tf_gen_op_libs(
    op_lib_names = ["bitcast"],
    deps = [
        "//tensorflow/c:ops",
        "//tensorflow/c:tf_datatype",
        "//tensorflow/c:tf_status",
        "//tensorflow/c:tf_tensor",
        "//tensorflow/core:lib",
    ],
)