}
			total += uint64(v.lp.last - v.lp.first)
			if maxfile < v.f {
				maxfile = v.f
			}
			if minline > v.lp.first {
				minline = v.lp.first
			}
			if maxline < v.lp.last {
				maxline = v.lp.last
			}
		}
		f.LogStat("SUM_LINE_RANGE", total, "MAXMIN_LINE_RANGE", maxline-minline, "MAXFILE", maxfile, "NFILES", len(entries))
	}

	// cursorX contains the current X value of the cursor where the left
	// edge is 0. cursorY contains the row number where the first row of
	// the current line is 0.
	cursorX, cursorY int
	// maxLine is the greatest value of cursorY so far.
	maxLine int

	termWidth, termHeight int

	// outBuf contains the terminal data to be sent.
	outBuf []byte
	// remainder contains the remainder of any partial key sequences after

	f.out = makePatchList(f.i << 1)

	// Special cases for exec machine.
	switch {
	case flags&FoldCase == 0 && (len(r) == 1 || len(r) == 2 && r[0] == r[1]):
		i.Op = InstRune1
	case len(r) == 2 && r[0] == 0 && r[1] == unicode.MaxRune:
		i.Op = InstRuneAny
	case len(r) == 4 && r[0] == 0 && r[1] == '\n'-1 && r[2] == '\n'+1 && r[3] == unicode.MaxRune:
		i.Op = InstRuneAnyNotNL
	}

	return f

    [parameter(Mandatory=$false)] [int]$MaxSize = 100mb,
    # Maximum number of backup archives to maintain.
    [parameter(Mandatory=$false)] [int]$MaxBackups = 5
  )
  $config = [FileRotationConfig]::new()
  $config.Force = $Force
  $config.MaxBackupInterval = $MaxBackupInterval
  $config.MaxSize = $MaxSize
  $config.MaxBackups = $MaxBackups
  return $config
}

	files map[string]*fileInfo
}

type fileInfo struct {
	file     *token.File
	lastline int
}

const maxlines = 64 * 1024

func (s *fakeFileSet) pos(file string, line, column int) token.Pos {
	// TODO(mdempsky): Make use of column.

	// Since we don't know the set of needed file positions, we reserve
	// maxlines positions per file. We delay calling token.File.SetLines until

			match  string
			frames []frame
		}
		// mainLine is the line number of `func main()` in testprog/stacks.go.
		const mainLine = 21
		want := []evDesc{
			{trace.EventStateTransition, "Goroutine Running->Runnable", []frame{
				{"main.main", mainLine + 82},
			}},
			{trace.EventStateTransition, "Goroutine NotExist->Runnable", []frame{
				{"main.main", mainLine + 11},
			}},

	// https://httpwg.org/specs/rfc7541.html#rfc.section.2.3.2
	table          headerFieldTable
	size           uint32 // in bytes
	maxSize        uint32 // current maxSize
	allowedMaxSize uint32 // maxSize may go up to this, inclusive
}

func (dt *dynamicTable) setMaxSize(v uint32) {
	dt.maxSize = v
	dt.evict()
}

func (dt *dynamicTable) add(f HeaderField) {
	dt.table.addEntry(f)
	dt.size += f.Size()
	dt.evict()

	"reflect"
	"testing"
)

var testNetrc = `
machine incomplete
password none

machine api.github.com
  login user
  password pwd

machine incomlete.host
  login justlogin

machine test.host
login user2
password pwd2

machine oneline login user3 password pwd3

machine ignore.host macdef ignore
  login nobody
  password nothing

pkg debug/elf, const EM_C166 = 116
pkg debug/elf, const EM_C166 Machine
pkg debug/elf, const EM_CDP = 215
pkg debug/elf, const EM_CDP Machine
pkg debug/elf, const EM_CE = 119
pkg debug/elf, const EM_CE Machine
pkg debug/elf, const EM_CLOUDSHIELD = 192
pkg debug/elf, const EM_CLOUDSHIELD Machine
pkg debug/elf, const EM_COGE = 216
pkg debug/elf, const EM_COGE Machine
pkg debug/elf, const EM_COOL = 217
pkg debug/elf, const EM_COOL Machine

researchers push the state-of-the-art in ML and developers easily build and
deploy ML-powered applications.

TensorFlow was originally developed by researchers and engineers working within
the Machine Intelligence team at Google Brain to conduct research in machine
learning and neural networks. However, the framework is versatile enough to be
used in other areas as well.

TensorFlow provides stable [Python](https://www.tensorflow.org/api_docs/python)