}
    return this;
  }

  /**
   * Adds each member of {@code elements} as a candidate for the top {@code k} elements. This
   * operation takes amortized linear time in the length of {@code elements}.
   *
   * <p>If all input data to this {@code TopKSelector} is in a single {@code Iterable}, prefer

	//nLines := len(lines)
	off := 0
	lineNo := 0
	fatal := func(f string, args ...any) {
		msg := fmt.Sprintf(f, args...)
		t.Fatalf("%s (line %d):\n%s", msg, lineNo, tb)
	}
	parseFrame := func(funcName, args string) *tbFrame {
		// Consume file/line/etc
		if !strings.HasPrefix(tb, "\t") {
			fatal("missing source line")
		}
		_, tb, _ = strings.Cut(tb, "\n")
		lineNo++
		inlined := args == "..."

		t1 := time.Now()
		f(n)
		return time.Since(t1)
	}

	t0 := time.Now()

	n := tries
	fails := 0
	for {
		t1 := timeF(n)
		t2 := timeF(2 * n)

		// should be 2x (linear); allow up to 3x
		if t2 < 3*t1 {
			if false {
				fmt.Println(typ, "\t", time.Since(t0))
			}
			return
		}
		// If n ops run in under a second and the ratio

	var buf1 bytes.Buffer
	_, err := Fprint(&buf1, ast1, LineForm)
	if err != nil {
		panic(err)
	}
	bytes1 := buf1.Bytes()

	ast2, err := Parse(NewFileBase(filename), &buf1, nil, nil, 0)
	if err != nil {
		panic(err)
	}

	var buf2 bytes.Buffer
	_, err = Fprint(&buf2, ast2, LineForm)
	if err != nil {
		panic(err)
	}
	bytes2 := buf2.Bytes()

    return ensureInUnitRange(sumOfProductsOfDeltas / Math.sqrt(productOfSumsOfSquaresOfDeltas));
  }

  /**
   * Returns a linear transformation giving the best fit to the data according to <a
   * href="http://mathworld.wolfram.com/LeastSquaresFitting.html">Ordinary Least Squares linear
   * regression</a> of {@code y} as a function of {@code x}. The count must be greater than one, and

			fatalf("%s: unexpected: %d-byte uchar type - %s", lineno(pos), t.Size, dtype)
		}
		t.Go = c.uint8
		t.Align = 1

	case *dwarf.UintType:
		if dt.BitSize > 0 {
			fatalf("%s: unexpected: %d-bit uint type - %s", lineno(pos), dt.BitSize, dtype)
		}
		switch t.Size {
		default:
			fatalf("%s: unexpected: %d-byte uint type - %s", lineno(pos), t.Size, dtype)
		case 1:
			t.Go = c.uint8

	REG_EBUS,	"EBUS",
	REG_EFAULT,	"EFAULT",
	REG_EFLAGS,	"EFLAGS",
	REG_EDELIM,	"EDELIM",
};

static struct
{
	regmatch_t	NOMATCH;
	int		errors;
	int		extracted;
	int		ignored;
	int		lineno;
	int		passed;
	int		signals;
	int		unspecified;
	int		verify;
	int		warnings;
	char*		file;
	char*		stack;
	char*		which;
	jmp_buf		gotcha;
#ifdef REG_DISCIPLINE
	Disc_t		disc;
#endif

	if t.cursorX == 0 && t.cursorY == 0 {
		t.writeLine(t.prompt)
		t.c.Write(t.outBuf)
		t.outBuf = t.outBuf[:0]
	}

	lineIsPasted := t.pasteActive

	for {
		rest := t.remainder
		lineOk := false
		for !lineOk {
			var key rune
			key, rest = bytesToKey(rest, t.pasteActive)
			if key == utf8.RuneError {
				break
			}
			if !t.pasteActive {
				if key == keyCtrlD {
					if len(t.line) == 0 {

	// Should never be called. We implement Liner below, callers
	// should use that instead.
	return 0, nil, nil, fmt.Errorf("pcln not available in go object file")
}

// Find returns the file name, line, and function data for the given pc.
// Returns "",0,nil if unknown.
// This function implements the Liner interface in preference to pcln() above.

    return ensureInUnitRange(sumOfProductsOfDeltas / Math.sqrt(productOfSumsOfSquaresOfDeltas));
  }

  /**
   * Returns a linear transformation giving the best fit to the data according to <a
   * href="http://mathworld.wolfram.com/LeastSquaresFitting.html">Ordinary Least Squares linear
   * regression</a> of {@code y} as a function of {@code x}. The count must be greater than one, and