idx       int     // current index in buf
	CAvg      float64 // cumulative average
	prevSMA   float64
	filledBuf bool
}

func newSMA(ln int) *SMA {
	if ln <= 0 {
		ln = defaultWindowSize
	}
	return &SMA{
		buf:    make([]float64, ln),
		window: ln,
		idx:    0,
	}
}

func (s *SMA) addSample(next float64) {
	prev := s.buf[s.idx]
	s.buf[s.idx] = next

	if s.filledBuf {

    //                                                                      General Helper
    //                                                                      ==============
    protected String ln() {
        return DBFluteSystem.ln();
    }

    protected void assertObjectNotNull(String variableName, Object value) {
        if (variableName == null) {

    //                                                                      General Helper
    //                                                                      ==============
    protected String ln() {
        return DBFluteSystem.ln();
    }

    protected void assertObjectNotNull(String variableName, Object value) {
        if (variableName == null) {

    //                                                                      General Helper
    //                                                                      ==============
    protected String ln() {
        return DBFluteSystem.ln();
    }

    protected void assertObjectNotNull(String variableName, Object value) {
        if (variableName == null) {

    checkPositive("x", x);
    if (fitsInLong(x)) {
      return LongMath.log10(x.longValue(), mode);
    }

    int approxLog10 = (int) (log2(x, FLOOR) * LN_2 / LN_10);
    BigInteger approxPow = BigInteger.TEN.pow(approxLog10);
    int approxCmp = approxPow.compareTo(x);

    /*
     * We adjust approxLog10 and approxPow until they're equal to floor(log10(x)) and

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...

   *
   * <p>If the result of this method will be immediately rounded to an {@code int}, {@link
   * #log2(double, RoundingMode)} is faster.
   */
  public static double log2(double x) {
    return log(x) / LN_2; // surprisingly within 1 ulp according to tests
  }

  /**
   * Returns the base 2 logarithm of a double value, rounded with the specified rounding mode to an
   * {@code int}.
   *

	)

	vectors := []struct {
		file  string // Optional filename of expected output
		tests []testFnc
	}{{
		// The writer test file was produced with this command:
		// tar (GNU tar) 1.26
		//   ln -s small.txt link.txt
		//   tar -b 1 --format=ustar -c -f writer.tar small.txt small2.txt link.txt
		file: "testdata/writer.tar",
		tests: []testFnc{
			testHeader{Header{
				Typeflag: TypeReg,
				Name:     "small.txt",

     * `numHashFunctions/bitSize`. So, after n insertions, expected bitCount is `bitSize * (1 - (1 -
     * numHashFunctions/bitSize)^n)`. Solving that for n, and approximating `ln x` as `x - 1` when x
     * is close to 1 (why?), gives the following formula.
     */
    double fractionOfBitsSet = (double) bitCount / bitSize;
    return DoubleMath.roundToLong(

lima-city.rocks lima.zone limanowa.pl limited limo lincoln lincoln.museum lindas.no linde lindesnes.no lindås.no link linkyard-cloud.ch linkyard.cloud linz.museum lipsy littlestar.jp live living living.museum livinghistory.museum livorno.it lk lk3.ru llc llp ln.cn lo.it loabat.no loabát.no loan loans localhistory.museum localhost.daplie.me localzone.xyz locker locus lodi.it lodingen.no log.br loginline.app loginline.dev loginline.io loginline.services loginline.site loginto.me logistics.aero logoip.com logoip.de...