expectedError        error
	}{
		{
			description:          "The kubelet configuration does not have reserved memory parameter",
			kubeletConfiguration: &kubeletconfig.KubeletConfiguration{},
			expectedError:        nil,
		},
		{
			description: "The kubelet configuration has valid reserved memory parameter",
			kubeletConfiguration: &kubeletconfig.KubeletConfiguration{

// to "export" the model produced from various quantization passes in c++ to
// Python layer.
// Next ID: 11
message ExportedModel {
  reserved 3, 4, 7, 9;
  reserved 'variable_shared_names';
  reserved 'restore_node_name';
  reserved 'save_node_name';
  reserved 'file_prefix_tensor_name';

  GraphDef graph_def = 1;

  // Name of the initialization node (TF Operation) used for initializing

        settingsFile << """
            include 'buildSrc'
        """

        when:
        fails "t"

        then:
        failure.assertHasDescription("'buildSrc' cannot be used as a project name as it is a reserved name")
    }

    def "fails when trying to use buildSrc as a project name"() {
        buildFile << """
            task t
        """
        settingsFile << """
            include 'b'

)

func regCreateKeyEx(key syscall.Handle, subkey *uint16, reserved uint32, class *uint16, options uint32, desired uint32, sa *syscall.SecurityAttributes, result *syscall.Handle, disposition *uint32) (regerrno error) {

/* 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,

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

//go:build windows

package filelock

import (
	"internal/syscall/windows"
	"io/fs"
	"syscall"
)

type lockType uint32

const (
	readLock  lockType = 0
	writeLock lockType = windows.LOCKFILE_EXCLUSIVE_LOCK
)

const (
	reserved = 0
	allBytes = ^uint32(0)
)

				time.Sleep(time.Minute)
			}
		}()
	}
	// Now apply kube reserved and system reserved limits if required.
	if nc.EnforceNodeAllocatable.Has(kubetypes.SystemReservedEnforcementKey) {
		klog.V(2).InfoS("Enforcing system reserved on cgroup", "cgroupName", nc.SystemReservedCgroupName, "limits", nc.SystemReserved)

/* 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,

/* Copyright 2022 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,

	return dryRunRange{r}
}

// For clearer code.
const dryRunTrue = true
const dryRunFalse = false

// Allocate attempts to reserve the provided IP. ErrNotInRange or
// ErrAllocated will be returned if the IP is not valid for this range
// or has already been reserved.  ErrFull will be returned if there
// are no addresses left.
func (r *Range) Allocate(ip net.IP) error {
	return r.allocate(ip, dryRunFalse)
}