}

// linearAlloc is a simple linear allocator that pre-reserves a region
// of memory and then optionally maps that region into the Ready state
// as needed.
//
// The caller is responsible for locking.
type linearAlloc struct {
	next   uintptr // next free byte
	mapped uintptr // one byte past end of mapped space
	end    uintptr // end of reserved space

	}
	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)

  // be as small as possible.  This is important because gcc is incapable of
  // re-using stack space even for temporary variables, so every EXPECT_EQ
  // reserves stack space for another AssertHelper.
  struct AssertHelperData {
    AssertHelperData(TestPartResult::Type t,
                     const char* srcfile,
                     int line_num,

  // be as small as possible.  This is important because gcc is incapable of
  // re-using stack space even for temporary variables, so every EXPECT_EQ
  // reserves stack space for another AssertHelper.
  struct AssertHelperData {
    AssertHelperData(TestPartResult::Type t,
                     const char* srcfile,
                     int line_num,

		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)

				},
			},
			"",
		},
	}

	for _, tc := range testCases {
		t.Run(tc.description, func(t *testing.T) {
			reserved, _ := convertReserved(&machineInfo, tc.systemReserved)
			if !reflect.DeepEqual(reserved, tc.systemReservedExpected) {
				t.Errorf("got %v, expected %v", reserved, tc.systemReservedExpected)
			}
		})
	}
}

func TestGetSystemReservedMemory(t *testing.T) {

				initialObjects = testCtx.listAll(t)
				initialObjects = testCtx.updateAPIServer(t, initialObjects, tc.prepare.reserve)
				status := testCtx.p.Reserve(testCtx.ctx, testCtx.state, tc.pod, selectedNode.Node().Name)
				t.Run("reserve", func(t *testing.T) {
					testCtx.verify(t, tc.want.reserve, initialObjects, nil, status)
				})
				if status.Code() != framework.Success {
					unschedulable = true
				}
			}

//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

/* Copyright 2023 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,

            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"