if (inject_error) {
    // Inject a function optimization pass failure when it sees the
    // 'read0_maybe_with_graph_error' op having a requested device `dev2_name`.
    // During execution:
    //   * task:0 processes main function `VariableAddFunctionWithGraphError`
    //     and places the 'read0_maybe_with_graph_error' op on task:2
    //   * task:0 partitions the main function with a subgraph containing

	VolumeStatsAggPeriod metav1.Duration
	// KubeletCgroups is the absolute name of cgroups to isolate the kubelet in
	KubeletCgroups string
	// SystemCgroups is absolute name of cgroups in which to place
	// all non-kernel processes that are not already in a container. Empty
	// for no container. Rolling back the flag requires a reboot.
	SystemCgroups string
	// CgroupRoot is the root cgroup to use for pods.

// also considered along with the pod's other scheduling requirements.
//
// This integrates into the existing scheduler workflow as follows:
//  1. The scheduler takes a Pod off the scheduler queue and processes it serially:
//     a. Invokes all pre-filter plugins for the pod. GetPodVolumeClaims() is invoked
//     here, pod volume information will be saved in current scheduling cycle state for later use.

The above build scan shows an interactive test report for all projects in which tests ran.

Gradle has several ways to speed up tests:

* Execute tests in parallel
* Fork tests into multiple processes
* Disable reports

Let’s look at each of these in turn.

==== Execute tests in parallel

Gradle can run multiple test cases in parallel.

	{6, "ENXIO", "no such device or address"},
	{7, "E2BIG", "argument list too long"},
	{8, "ENOEXEC", "exec format error"},
	{9, "EBADF", "bad file descriptor"},
	{10, "ECHILD", "no child processes"},
	{11, "EAGAIN", "resource temporarily unavailable"},
	{12, "ENOMEM", "cannot allocate memory"},
	{13, "EACCES", "permission denied"},
	{14, "EFAULT", "bad address"},
	{15, "ENOTBLK", "block device required"},

	{6, "ENXIO", "no such device or address"},
	{7, "E2BIG", "argument list too long"},
	{8, "ENOEXEC", "exec format error"},
	{9, "EBADF", "bad file descriptor"},
	{10, "ECHILD", "no child processes"},
	{11, "EAGAIN", "resource temporarily unavailable"},
	{12, "ENOMEM", "cannot allocate memory"},
	{13, "EACCES", "permission denied"},
	{14, "EFAULT", "bad address"},
	{15, "ENOTBLK", "block device required"},

	return &dict
}

func (r *reader) typeParamNames() []*types.TypeParam {
	r.Sync(pkgbits.SyncTypeParamNames)

	// Note: This code assumes it only processes objects without
	// implement type parameters. This is currently fine, because
	// reader is only used to read in exported declarations, which are
	// always package scoped.

	if len(r.dict.bounds) == 0 {

// NOTE that this expects to be run from within the HOST network namespace!
//
// We need to do this specifically to be able to distinguish between traffic coming from different node-level processes
// via the nodeIP
// - kubelet (node-local healthchecks, which we do not capture)
// - kube-proxy (fowarded/proxied traffic from LoadBalancer-backed services, potentially with public IPs, which we must capture)

					return
				}
			}
		}
	}

	// no special priority, go in normal recalc queue
	rq.queue.Add(key)
}

// worker runs a worker thread that just dequeues items, processes them, and marks them done.
func (rq *Controller) worker(queue workqueue.TypedRateLimitingInterface[string]) func(context.Context) {
	workFunc := func(ctx context.Context) bool {
		key, quit := queue.Get()
		if quit {

	{6, "ENXIO", "no such device or address"},
	{7, "E2BIG", "argument list too long"},
	{8, "ENOEXEC", "exec format error"},
	{9, "EBADF", "bad file descriptor"},
	{10, "ECHILD", "no child processes"},
	{11, "EAGAIN", "resource temporarily unavailable"},
	{12, "ENOMEM", "cannot allocate memory"},
	{13, "EACCES", "permission denied"},
	{14, "EFAULT", "bad address"},
	{15, "ENOTBLK", "block device required"},