tf_device.return %compilation_status, %program#0, %program#1 : tensor<!tf_type.string>, tensor<3x!tf_type.string>, tensor<3x!tf_type.string>
  }) {device = "/job:localhost/replica:0/task:0/device:CPU:0"} : () -> (tensor<!tf_type.string>, tensor<3x!tf_type.string>, tensor<3x!tf_type.string>)
  "tf_device.launch"() ( {

    %0 = "quantfork.stats"(%arg0) {layerStats = dense<[6.00000000e-6, 9.00000000e-1]> : tensor<2xf32>} : (tensor<1x2xf32>) -> tensor<1x2xf32>

func.func @addN_variant(%arg0: tensor<!tf_type.variant<tensor<2xf32>>>, %arg1: tensor<!tf_type.variant<tensor<2xf32>>>, %arg2: tensor<!tf_type.variant<tensor<2xf32>>>) -> tensor<!tf_type.variant<tensor<2xf32>>> {
  // CHECK: tf.AddN
  %0 = "tf.AddN"(%arg0, %arg1, %arg2) : (tensor<!tf_type.variant<tensor<2xf32>>>, tensor<!tf_type.variant<tensor<2xf32>>>, tensor<!tf_type.variant<tensor<2xf32>>>) -> tensor<!tf_type.variant<tensor<2xf32>>>

func (t *interfaceType) nameOff(off aNameOff) abi.Name {
	return toRType(&t.Type).nameOff(off)
}

func nameOffFor(t *abi.Type, off aNameOff) abi.Name {
	return toRType(t).nameOff(off)
}

func typeOffFor(t *abi.Type, off aTypeOff) *abi.Type {
	return toRType(t).typeOff(off)
}

func (t *interfaceType) typeOff(off aTypeOff) *abi.Type {
	return toRType(&t.Type).typeOff(off)
}

func (sid *SID) Equals(sid2 *SID) bool {
	return EqualSid(sid, sid2)
}

// IsWellKnown determines whether the SID matches the well-known sidType.
func (sid *SID) IsWellKnown(sidType WELL_KNOWN_SID_TYPE) bool {
	return isWellKnownSid(sid, sidType)
}

// LookupAccount retrieves the name of the account for this SID
// and the name of the first domain on which this SID is found.

)str";
  return absl::StrFormat(format_str, type, type);
}

#define TEST_KERNEL_TYPE_CONSTRAINT(tf_type, dtype)                          \
  TEST(TestKernel, TestTypeConstraint##tf_type) {                            \
    const char* node_name = "SomeNodeName";                                  \
    const char* op_name = "TypeOp" #dtype;                                   \
    const char* device_name = "FakeDeviceName1";                             \

func (p *Package) recordTypedefs(dtype dwarf.Type, pos token.Pos) {
	p.recordTypedefs1(dtype, pos, map[dwarf.Type]bool{})
}

func (p *Package) recordTypedefs1(dtype dwarf.Type, pos token.Pos, visited map[dwarf.Type]bool) {
	if dtype == nil {
		return
	}
	if visited[dtype] {
		return
	}
	visited[dtype] = true
	switch dt := dtype.(type) {
	case *dwarf.TypedefType:

      "tf.AssignVariableOp"(%arg0, %3) : (tensor<!tf_type.resource<tensor<f32>>>, tensor<f32>) -> ()
      "tf.Yield"(%3) : (tensor<f32>) -> ()
      }, {
      %3 = "tf.C"() : () -> (tensor<f32>)
      "tf.Yield"(%3) : (tensor<f32>) -> ()
     }) { is_stateless = false } : (tensor<i1>) -> (tensor<f32>)
    %8 = "tf.ReadVariableOp"(%arg0) : (tensor<!tf_type.resource<tensor<f32>>>) -> (tensor<f32>)

	}

	if tableType.Name() != tblName {
		t.Fatalf("expected table name to be %s but got %s", tblName, tableType.Name())
	}

	if tableType.Type() != tblType {
		t.Fatalf("expected table type to be %s but got %s", tblType, tableType.Type())
	}

	comment, ok := tableType.Comment()
	if !ok || comment != tblComment {
		t.Fatalf("expected comment %s got %s", tblComment, comment)
	}
}

        }
        return split(getJobSystemJobIds(), ",").get(stream -> stream.anyMatch(s -> s.equals(id)));
    }

    String getSmbAvailableSidTypes();

    default Integer getAvailableSmbSidType(final int sidType) {
        @SuppressWarnings("unchecked")
        Map<Integer, Integer> params = (Map<Integer, Integer>) propMap.get(SMB_AVAILABLE_SID_TYPES);
        if (params == null) {