Free:   uint64(s.Frsize) * s.Bavail,
		Files:  s.Files,
		Ffree:  s.Ffree,
		FSType: getFSType(s.Type),
	}
	// Check for overflows.
	// https://github.com/minio/minio/issues/8035
	// XFS can show wrong values at times error out
	// in such scenarios.
	if info.Free > info.Total {
		return info, fmt.Errorf("detected free space (%d) > total drive space (%d), fs corruption at (%s). please run 'fsck'", info.Free, info.Total, path)
	}

   *
   * <p>This is guaranteed to return zero if the dataset contains only exactly one finite value. It
   * is not guaranteed to return zero when the dataset consists of the same value multiple times,
   * due to numerical errors. However, it is guaranteed never to return a negative result.
   *
   * <h3>Non-finite values</h3>
   *

// errRPCAPIVersionUnsupported - unsupported rpc API version.
var errRPCAPIVersionUnsupported = errors.New("Unsupported rpc API version")

// errServerTimeMismatch - server times are too far apart.
var errServerTimeMismatch = errors.New("Server times are too far apart")

// errInvalidRange - returned when given range value is not valid.
var errInvalidRange = errors.New("Invalid range")

   *
   * <p>This is guaranteed to return zero if the dataset contains a single pair of finite values. It
   * is not guaranteed to return zero when the dataset consists of the same pair of values multiple
   * times, due to numerical errors.
   *
   * <h3>Non-finite values</h3>
   *
   * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link

type dynamicTimeout struct {
	timeout       int64
	minimum       int64
	entries       int64
	log           [dynamicTimeoutLogSize]time.Duration
	mutex         sync.Mutex
	retryInterval time.Duration
}

type dynamicTimeoutOpts struct {
	timeout       time.Duration
	minimum       time.Duration
	retryInterval time.Duration
}

func newDynamicTimeoutWithOpts(opts dynamicTimeoutOpts) *dynamicTimeout {

import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.CancellationException;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.TimeoutException;

/** A benchmark that times how long it takes to add a given number of */
@VmOptions({"-Xms8g", "-Xmx8g"})
public class SingleThreadAbstractFutureBenchmark {
  @Param Impl impl;

  private final Exception exception = new Exception();

The main logic with ADRs is to describe (architectural) decisions made:

* To provide best practices and solutions we (as the *build tool* team) want to promote.
* To avoid asking the same thing multiple times during code review.
* To explain *rejected solutions*, for now, and future development, in case they are proposed again.

ADRs can be written by any team.
Like code, they should be reviewed by any other relevant teams.

        orderedEventSpyDispatcherMock
                .verify(eventSpyDispatcherMock, times(1))
                .onEvent(any(ToolchainsBuildingRequest.class));
        orderedEventSpyDispatcherMock
                .verify(eventSpyDispatcherMock, times(1))
                .onEvent(any(ToolchainsBuildingResult.class));
    }

    @Test

   *
   * <p>This is guaranteed to return zero if the dataset contains a single pair of finite values. It
   * is not guaranteed to return zero when the dataset consists of the same pair of values multiple
   * times, due to numerical errors.
   *
   * <h3>Non-finite values</h3>
   *
   * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link

// time occurrence from a list of time.
func TestCommonTime(t *testing.T) {
	// List of test cases for common modTime.
	testCases := []struct {
		times  []time.Time
		time   time.Time
		quorum int
	}{
		{
			// 1. Tests common times when slice has varying time elements.
			[]time.Time{
				time.Unix(0, 1).UTC(),
				time.Unix(0, 2).UTC(),
				time.Unix(0, 3).UTC(),
				time.Unix(0, 3).UTC(),