?>  <elt
att
=
"val">
<![CDATA[
]]><!--

--></elt>
</root>`
	linePos := [][]int{
		{1, 7},
		{2, 1},
		{3, 4},
		{3, 6},
		{6, 7},
		{7, 1},
		{8, 4},
		{10, 4},
		{10, 10},
		{11, 1},
		{11, 8},
	}
	dec := NewDecoder(strings.NewReader(testInput))
	for _, want := range linePos {
		if _, err := dec.Token(); err != nil {
			t.Errorf("Unexpected error: %v", err)

		label = label + fmt.Sprintf(`of %s (%s)`,
			cumValue,
			strings.TrimSpace(measurement.Percentage(cum, b.config.Total)))
	}

	// Scale font sizes from 8 to 24 based on percentage of flat frequency.
	// Use non linear growth to emphasize the size difference.
	baseFontSize, maxFontGrowth := 8, 16.0
	fontSize := baseFontSize
	if maxFlat != 0 && flat != 0 && float64(abs64(flat)) <= maxFlat {

	//   consisting entirely of two hyphen characters ("-",
	//   decimal value 45) followed by the boundary parameter
	//   value from the Content-Type header field, optional linear
	//   whitespace, and a terminating CRLF.
	if !bytes.HasPrefix(line, r.dashBoundary) {
		return false
	}
	rest := line[len(r.dashBoundary):]
	rest = skipLWSPChar(rest)

// This is O(N), but we expect haystack to be small;
// so small that we expect a linear search to be faster
func containsNumber(haystack []int, needle int) bool {
	for _, v := range haystack {
		if v == needle {
			return true
		}
	}
	return false
}

// This is O(N), but we expect serviceNodePorts to be small;
// so small that we expect a linear search to be faster

		return value
	}

}

// allocateFromRange allocates an empty IP address from the range of
// IPs between the first and last address (both included), starting
// from the start address.
// TODO: this is a linear search, it can be optimized.
func (a *Allocator) allocateFromRange(iterator func() netip.Addr, svc *api.Service) (net.IP, error) {
	for {
		ip := iterator()
		if !ip.IsValid() {
			break
		}

	if err != nil {
		t.Fatalf("%s", err)
	}

	lineStr := ""
	if line != 0 {
		lineStr = fmt.Sprintf(" (from line %d)", line)
	}
	if diff := cmp.Diff(expected, result); diff != "" {
		t.Errorf("rules do not match%s:\ndiff:\n%s\nfull result:\n```\n%s```", lineStr, diff, result)
	}

	if checkConsistency {
		err = checkIPTablesRuleJumps(expected)

// For small functions, we use Braun, Buchwald, Hack, Leißa, Mallon, and Zwinkau.
// https://pp.info.uni-karlsruhe.de/uploads/publikationen/braun13cc.pdf
// For large functions, we use Sreedhar & Gao: A Linear Time Algorithm for Placing Φ-Nodes.
// http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.8.1979&rep=rep1&type=pdf

const smallBlocks = 500

const debugPhi = false

   * equivalently, if this inverse view contains a key that is equal to {@code value}).
   *
   * <p>Due to the property that values in a BiMap are unique, this will tend to execute in
   * faster-than-linear time.
   *
   * @param value the object to search for in the values of this BiMap
   * @return true if a mapping exists from a key to the specified value
   */
  @Override

  private static final int CUTOFF = (int) (MAX_TABLE_SIZE * DESIRED_LOAD_FACTOR);

  /**
   * Returns an array size suitable for the backing array of a hash table that uses open addressing
   * with linear probing in its implementation. The returned size is the smallest power of two that
   * can hold setSize elements with the desired load factor. Always returns at least setSize + 2.
   */
  @VisibleForTesting

		arch:  arch,
		cconv: cconv,
	})
}

type regSet struct {
	lo    int
	hi    int
	Rconv func(int) string
}

// Few enough architectures that a linear scan is fastest.
// Not even worth sorting.
var regSpace []regSet

/*
	Each architecture defines a register space as a unique
	integer range.