c1 := &xcmp[a1]
	c2 := &xcmp[a2]
	c3 := &xcmp[a3]
	c4 := &xcmp[a4]
	c5 := &xcmp[a5]
	for i := range ops {
		op := &ops[i]
		if c1[op.a1] && c2[op.a2] && c3[op.a3] && c4[op.a4] && c5[op.a5] && p.Scond == op.scond {
			p.Optab = uint16(cap(optab) - cap(ops) + i + 1)
			return op
		}
	}

	&& (ptr.Op != OpSB || !config.ctxt.Flag_dynlink) =>
	(MOVBload [off1+int32(off2)] {sym} ptr mem)
(MOVBUload [off1] {sym} (ADDconst [off2] ptr) mem) && is32Bit(int64(off1)+off2)
	&& (ptr.Op != OpSB || !config.ctxt.Flag_dynlink) =>
	(MOVBUload [off1+int32(off2)] {sym} ptr mem)
(MOVHload [off1] {sym} (ADDconst [off2] ptr) mem) && is32Bit(int64(off1)+off2)
	&& (ptr.Op != OpSB || !config.ctxt.Flag_dynlink) =>

				} else {
					toRuleExist = true
					op := to.Operation
					if len(op.Ports) == 0 && len(op.Methods) == 0 && len(op.Paths) == 0 && len(op.Hosts) == 0 &&
						len(op.NotPorts) == 0 && len(op.NotMethods) == 0 && len(op.NotPaths) == 0 && len(op.NotHosts) == 0 {
						errs = appendErrors(errs, fmt.Errorf("`to.operation` must not be empty, found at rule %d", i))
					}

# Lists of ops whose channel dimension should be changed if per_channel
# quantization is enabled. Respectively refers to (scale, zero_point).
_SUFFIXES = ('/filter1', '/filter2')
_PER_CHANNEL_OP_NAMES = (
    f'{op}{suffix}'
    for op, suffix in itertools.product(_PER_CHANNEL_QUANTIZED_OPS, _SUFFIXES)
)


def _is_variable(node_def: node_def_pb2.NodeDef) -> bool:
  """Determines whether `node_def` is a variable node.

  Args:

:{\"mode\":\"off\"}},\"mappings\":[],\"min\":0,\"thresholds\":{\"mode\":\"absolute\",\"steps\":[{\"color\":\"green\",\"value\":null},{\"color\":\"red\",\"value\":80}]},\"unit\":\"ops\"},\"overrides\":[{\"matcher\":{\"id\":\"byValue\",\"options\":{\"op\":\"gte\",\"reducer\":\"allIsNull\",\"value\":0}},\"properties\":[{\"id\":\"custom.hideFrom\",\"value\":{\"legend\":true,\"tooltip\":true,\"viz\":false}}]}]},\"gridPos\":{\"h\":6,\"w\":12,\"x\":0,\"y\":16},\"id\":25,\"links\":[],\"options\":{\"lege...

	}
	if name == "magicquery" {
		// Magic table name and column, known by fakedb_test.go.
		exec(t, db, "CREATE|magicquery|op=string,millis=int32")
		exec(t, db, "INSERT|magicquery|op=sleep,millis=10")
	}
	if name == "tx_status" {
		// Magic table name and column, known by fakedb_test.go.
		exec(t, db, "CREATE|tx_status|tx_status=string")

func (v Value) Convert(t Type) Value {
	if v.flag&flagMethod != 0 {
		v = makeMethodValue("Convert", v)
	}
	op := convertOp(t.common(), v.typ())
	if op == nil {
		panic("reflect.Value.Convert: value of type " + stringFor(v.typ()) + " cannot be converted to type " + t.String())
	}
	return op(v, t)
}

// CanConvert reports whether the value v can be converted to type t.

			} else {
				queue = NewTestQueue(ctx, newDefaultQueueSort(),
					WithClock(testingclock.NewFakeClock(timestamp)))
			}

			var podInfoList []*framework.QueuedPodInfo

			for i, op := range test.operations {
				op(t, logger, queue, test.operands[i])
			}

			expectedLen := len(test.expected)
			if queue.activeQ.Len() != expectedLen {

		// Use allocated resources values from checkpoint store (source of truth) to determine fit
		otherPods := make([]*v1.Pod, 0, len(pods))
		for _, p := range pods {
			op := p.DeepCopy()
			kl.updateContainerResourceAllocation(op)

			otherPods = append(otherPods, op)
		}
		attrs.OtherPods = otherPods
	}
	for _, podAdmitHandler := range kl.admitHandlers {
		if result := podAdmitHandler.Admit(attrs); !result.Admit {

	"k8s.io/kubernetes/pkg/scheduler/metrics"
	"k8s.io/utils/ptr"
)

const (
	preEnqueuePlugin                  = "preEnqueue-plugin"
	queueSortPlugin                   = "no-op-queue-sort-plugin"
	scoreWithNormalizePlugin1         = "score-with-normalize-plugin-1"
	scoreWithNormalizePlugin2         = "score-with-normalize-plugin-2"
	scorePlugin1                      = "score-plugin-1"