### Timer changes

Go 1.23 makes two significant changes to the implementation of
[time.Timer] and [time.Ticker].

<!-- go.dev/issue/61542 -->
First, `Timer`s and `Ticker`s that are no longer referred to by the program
become eligible for garbage collection immediately, even if their
`Stop` methods have not been called.
Earlier versions of Go did not collect unstopped `Timer`s until after
they had fired and never collected unstopped `Ticker`s.

//
// This is a regression test for issue 50936.

/*
#include <unistd.h>

void goCallbackPprof();

static void callGo() {
	// Spent >20us in C so this thread is eligible for sysmon to retake its
	// P.
	usleep(50);
	goCallbackPprof();
}
*/
import "C"

import (
	"fmt"
	"os"
	"runtime"
	"runtime/pprof"
	"time"
)

func init() {

import org.gradle.api.file.FileSystemOperations;
import org.gradle.process.ExecOperations;

/**
 * A dataflow action.
 *
 * <p>
 * A parameterized and isolated piece of work that becomes eligible for execution within a
 * {@link FlowScope dataflow scope} as soon as all of its input {@link FlowParameters parameters}
 * become available.
 * </p>
 * <p>

}

// PodEligibleToPreemptOthers returns one bool and one string. The bool
// indicates whether this pod should be considered for preempting other pods or
// not. The string includes the reason if this pod isn't eligible.
// There're several reasons:
//  1. The pod has a preemptionPolicy of Never.
//  2. The pod has already preempted other pods and the victims are in their graceful termination period.

		// Generate a high scalar in [2^252, 2^252 + 2^124).
		s[31] = 1 << 4
		rand.Read(s[:16])
		s[15] &= (1 << 4) - 1
	default:
		// Generate a valid scalar in [0, l) by returning [0, 2^252) which has a
		// negligibly different distribution (the former has a 2^-127.6 chance
		// of being out of the latter range).
		rand.Read(s[:])
		s[31] &= (1 << 4) - 1
	}

	val := Scalar{}
	fiatScalarFromBytes((*[4]uint64)(&val.s), &s)

	dur := 100 * time.Millisecond
	func() {
		// Create a region in the execution trace. Set and clear goroutine
		// labels fully within that region, so we know that any CPU profile
		// sample with the label must also be eligible for inclusion in the
		// execution trace.
		ctx := context.Background()
		defer trace.StartRegion(ctx, "cpuHogger").End()
		pprof.Do(ctx, pprof.Labels("tracing", "on"), func(ctx context.Context) {

func (n NoncurrentVersionTransition) NextDue(obj ObjectOpts) (time.Time, bool) {
	if obj.IsLatest || n.StorageClass == "" {
		return time.Time{}, false
	}
	// Days == 0 indicates immediate tiering, i.e object is eligible for tiering since it became noncurrent.
	if n.NoncurrentDays == 0 {
		return obj.SuccessorModTime, true
	}
	return ExpectedExpiryTime(obj.SuccessorModTime, int(n.NoncurrentDays)), true

        return new ArrayList<>(result);
    }

    /**
     * Marks the provided project as finished. Returns a list of
     *
     * @param mavenProject The project
     * @return The list of builds that are eligible for starting now that the provided project is done
     */
    public List<MavenProject> markAsFinished(MavenProject mavenProject) {
        finishedProjects.add(mavenProject);

     * @since 7.6
     */
    @Incubating
    public abstract boolean matches(String vendor);

    /**
     * Returns a vendor spec that matches a VM by its vendor.
     * <p>
     * A VM is determined eligible if the system property <code>java.vendor</code> contains
     * the given match string. The comparison is done case-insensitive.
     * </p>
     * @param match the sequence to search for
     * @return a new filter object

## Implementation

ILM tiering takes place when a object placed in the bucket meets lifecycle transition rules and becomes eligible for tiering. MinIO scanner (which runs at one minute intervals, each time scanning one sixteenth of the namespace), picks up the object for tiering. The data is moved to the remote tier in entirety, leaving only the object metadata on MinIO.