// by 51, and add it to the limb above it. The top carry is multiplied by 19
	// according to the reduction identity and added to the lowest limb.
	//
	// The largest coefficient (r0) will be at most 111 bits, which guarantees
	// that all carries are at most 111 - 51 = 60 bits, which fits in a uint64.
	//
	//     r0 = a0×b0 + 19×(a1×b4 + a2×b3 + a3×b2 + a4×b1)

    A "percentile" is a statistical concept that represents the value below
    which a given percentage of data falls in a dataset. It involves sorting the
    data from smallest to largest and then finding the value at a specified
    percentage position. For example, the 0.01 percentile represents the value
    in a given data set that corresponds to the lowest 0.01% of the data.

    justify-content: space-between;
    max-width: 75rem;
    margin-left: auto;
    margin-right: auto;
    font-size: 0.875rem;
    padding: 0.5rem 0.75rem;
}

/*
 * 1. Value is the largest computed width among 'site-footer__copy' and 'site-footer__links'.
 */
.site-footer__copy,
.site-footer__secondary-links {
    flex-grow: 0;
    flex-basis: 280px;
    /* 1. */
}

/*

Gradle's build cache can be very useful in reducing CI infrastructure cost and feedback time, but it usually has the biggest impact when developers can reuse cached results in their local builds. This is also the hardest to quantify for a number of reasons:

* developers run different builds
* developers can have different hardware, or have different settings
* developers run all kinds of other things on their machines that can slow them down

	r.mu.RLock()
	defer r.mu.RUnlock()
	return r.status[key]
}

// Register that a dataplane has acknowledged a new version of the config.
// Theoretically, we could use the ads connections themselves to harvest this data,
// but the mutex there is pretty hot, and it seems best to trade memory for time.
func (r *Reporter) RegisterEvent(conID string, distributionType xds.EventType, nonce string) {
	if nonce == "" {
		return
	}

		// This function returns true if the increment will never overflow/underflow.
		ok := func() bool {
			if step > 0 {
				if limit.isGenericIntConst() {
					// Figure out the actual largest value.
					v := limit.AuxInt
					if !inclusive {
						if v == minSignedValue(limit.Type) {
							return false // < minint is never satisfiable.
						}
						v--
					}

func (c *MetaAllocator) getAllocator(ip net.IP) (*Allocator, error) {
	c.muTree.Lock()
	defer c.muTree.Unlock()

	address := ipToAddr(ip)
	prefix := netip.PrefixFrom(address, address.BitLen())
	// Use the largest subnet to allocate addresses because
	// all the other subnets will be contained.
	_, allocator, ok := c.tree.ShortestPrefixMatch(prefix)
	if !ok {
		klog.V(2).Infof("Could not get allocator for IP %s", ip.String())

	// for a GetCapacityRequest with topology and parameters that match the
	// previous fields.
	//
	// This is defined since CSI spec 1.4.0 as the largest size
	// that may be used in a
	// CreateVolumeRequest.capacity_range.required_bytes field to
	// create a volume with the same parameters as those in
	// GetCapacityRequest. The corresponding value in the Kubernetes

		// prioritize evicting the pod which exceeds its requests
		return cmpBool(p1ExceedsRequests, p2ExceedsRequests)
	}
}

// memory compares pods by largest consumer of memory relative to request.
func memory(stats statsFunc) cmpFunc {
	return func(p1, p2 *v1.Pod) int {
		p1Stats, p1Found := stats(p1)
		p2Stats, p2Found := stats(p2)
		if !p1Found || !p2Found {

// total samples collected.
func (p *Profile) Merge(pb *Profile, r float64) error {
	if err := p.Compatible(pb); err != nil {
		return err
	}

	pb = pb.Copy()

	// Keep the largest of the two periods.
	if pb.Period > p.Period {
		p.Period = pb.Period
	}

	p.DurationNanos += pb.DurationNanos

	p.Mapping = append(p.Mapping, pb.Mapping...)
	for i, m := range p.Mapping {