}
	for _, node := range nodes {
		if !slices.Contains(schedulingCtx.Spec.PotentialNodes, node.Node().Name) {
			return false
		}
	}
	return true
}

// Reserve reserves claims for the pod.
func (pl *dynamicResources) Reserve(ctx context.Context, cs *framework.CycleState, pod *v1.Pod, nodeName string) (status *framework.Status) {
	if !pl.enabled {
		return nil
	}
	state, err := getStateData(cs)

            contextualLabel == "Problem: In version catalog libs, alias '$reserved' is not a valid alias."
            details == "Alias '$reserved' is a reserved name in Gradle which prevents generation of accessors."
            solutions == [ 'Use a different alias which doesn\'t contain any of \'convention\' or \'extensions\'.' ]
        }

        where:
        reserved << [
            "extensions",
            "convention"

	}
	return
}

func regEnumKeyEx(key Handle, index uint32, name *uint16, nameLen *uint32, reserved *uint32, class *uint16, classLen *uint32, lastWriteTime *Filetime) (regerrno error) {

		if err != nil {
			return err
		}
		if reservedSystemCPUs.Size() > 0 {
			// at cmd option validation phase it is tested either --system-reserved-cgroup or --kube-reserved-cgroup is specified, so overwrite should be ok
			klog.InfoS("Option --reserved-cpus is specified, it will overwrite the cpu setting in KubeReserved and SystemReserved", "kubeReserved", s.KubeReserved, "systemReserved", s.SystemReserved)

					"memory": "1Gi",
				},
				ReservedSystemCPUs:          "0,1",
				ShowHiddenMetricsForVersion: "1.16",
				SystemReservedCgroup:        "system-reserved-cgroup",
				KubeReservedCgroup:          "kube-reserved-cgroup",
				EnforceNodeAllocatable:      []string{"system-reserved"},
				AllowedUnsafeSysctls:        []string{"kernel.msg*"},
				VolumePluginDir:             "volume-plugin-dir",
				ProviderID:                  "provider-id",

                     llvm::ArrayRef<Value> outputs, OpBuilder* builder) {
  llvm::SmallVector<Type, 4> operand_types;
  operand_types.reserve(inputs.size());
  for (Value v : inputs) operand_types.emplace_back(v.getType());
  llvm::SmallVector<Type, 4> output_types;
  output_types.reserve(outputs.size());
  for (Value v : outputs) output_types.emplace_back(v.getType());

//sys	RegQueryInfoKey(key Handle, class *uint16, classLen *uint32, reserved *uint32, subkeysLen *uint32, maxSubkeyLen *uint32, maxClassLen *uint32, valuesLen *uint32, maxValueNameLen *uint32, maxValueLen *uint32, saLen *uint32, lastWriteTime *Filetime) (regerrno error) = advapi32.RegQueryInfoKeyW

//sys	MoveFileEx(from *uint16, to *uint16, flags uint32) (err error) = MoveFileExW
//sys	LockFileEx(file Handle, flags uint32, reserved uint32, bytesLow uint32, bytesHigh uint32, overlapped *Overlapped) (err error)
//sys	UnlockFileEx(file Handle, reserved uint32, bytesLow uint32, bytesHigh uint32, overlapped *Overlapped) (err error)
//sys	GetComputerName(buf *uint16, n *uint32) (err error) = GetComputerNameW

            This will be used to extract the data and for the generated OpenAPI.
            It is particularly useful when you can't use the name you want because it
            is a Python reserved keyword or similar.
            """
        ),
    ] = None,
    alias_priority: Annotated[
        Union[int, None],
        Doc(
            """

/* Copyright 2019 The TensorFlow Authors. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,