type SpanningTransformer interface {
	Transformer

	// Span returns a position in src such that transforming src[:n] results in
	// identical output src[:n] for these bytes. It does not necessarily return
	// the largest such n. The atEOF argument tells whether src represents the
	// last bytes of the input.
	//
	// Callers should always account for the n bytes consumed before
	// considering the error err.
	//

			}
		}
		// move all of bx's values to c (note containing loop excludes c)
		for _, v := range bx.Values {
			v.Block = c
		}
	}

	// Compute the total number of values and find the largest value slice in the run, to maximize chance of storage reuse.
	total := 0
	totalBeforeMax := 0 // number of elements preceding the maximum block (i.e. its position in the result).
	max_b := b          // block with maximum capacity

			//
			// This logic is equivalent to the logic in
			// cmd/compile/internal/types/size.go:calcStructOffset
			return 8
		}

		// spec: "For a variable x of struct type: unsafe.Alignof(x)
		// is the largest of the values unsafe.Alignof(x.f) for each
		// field f of x, but at least 1."
		max := int64(1)
		for _, f := range t.fields {
			if a := s.Alignof(f.typ); a > max {
				max = a
			}
		}
		return max

		Precedence: 40,
		Label:      1,
	},
}

// Classify returns the policyTableEntry of the entry with the longest
// matching prefix that contains ip.
// The table t must be sorted from largest mask size to smallest.
func (t policyTable) Classify(ip netip.Addr) policyTableEntry {
	// Prefix.Contains() will not match an IPv6 prefix for an IPv4 address.
	if ip.Is4() {
		ip = netip.AddrFrom16(ip.As16())
	}

	// 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--
					}