when {
                k <= bias -> TMIN
                k >= bias + TMAX -> TMAX
                else -> k - bias
              }
            if (q < t) break
            result.writeByte((t + ((q - t) % (BASE - t))).punycodeDigit)
            q = (q - t) / (BASE - t)
          }

          result.writeByte(q.punycodeDigit)
          bias = adapt(delta, h + 1, h == b)
          delta = 0

            `num_tokens`.
        *   `Discretization` added `num_bins` argument for learning bins
            boundaries through calling `adapt` on a dataset. Renamed `bins`
            argument to `bin_boundaries` for specifying bins without `adapt`.
    *   Improvements to model saving/loading:
        *   `model.load_weights` now accepts paths to saved models.

errors.New("edwards25519: invalid field element input size") } // Bits 0:51 (bytes 0:8, bits 0:64, shift 0, mask 51). v.l0 = byteorder.LEUint64(x[0:8]) v.l0 &= maskLow51Bits // Bits 51:102 (bytes 6:14, bits 48:112, shift 3, mask 51). v.l1 = byteorder.LEUint64(x[6:14]) >> 3 v.l1 &= maskLow51Bits // Bits 102:153 (bytes 12:20, bits 96:160, shift 6, mask 51). v.l2 = byteorder.LEUint64(x[12:20]) >> 6 v.l2 &= maskLow51Bits // Bits 153:204 (bytes 19:27, bits 152:216, shift 1, mask 51). v.l3 = byteorder.LEUint64(x[19:27])...

errors.New("edwards25519: invalid field element input size") } // Bits 0:51 (bytes 0:8, bits 0:64, shift 0, mask 51). v.l0 = byteorder.LEUint64(x[0:8]) v.l0 &= maskLow51Bits // Bits 51:102 (bytes 6:14, bits 48:112, shift 3, mask 51). v.l1 = byteorder.LEUint64(x[6:14]) >> 3 v.l1 &= maskLow51Bits // Bits 102:153 (bytes 12:20, bits 96:160, shift 6, mask 51). v.l2 = byteorder.LEUint64(x[12:20]) >> 6 v.l2 &= maskLow51Bits // Bits 153:204 (bytes 19:27, bits 152:216, shift 1, mask 51). v.l3 = byteorder.LEUint64(x[19:27])...

	// map header, size 2
	// write "Bins"
	err = en.Append(0x82, 0xa4, 0x42, 0x69, 0x6e, 0x73)
	if err != nil {
		return
	}
	err = en.WriteArrayHeader(uint32(24))
	if err != nil {
		err = msgp.WrapError(err, "Bins")
		return
	}
	for za0001 := range z.Bins {
		err = z.Bins[za0001].EncodeMsg(en)
		if err != nil {
			err = msgp.WrapError(err, "Bins", za0001)
			return
		}
	}

	l.UpdatedAt = t // update to the latest time index

	if since >= 24 {
		l.Bins = [24]tierStats{}
		return
	}

	for lastIdx != idx {
		lastIdx = (lastIdx + 1) % 24
		l.Bins[lastIdx] = tierStats{}
	}
}

func (l *lastDayTierStats) clone() lastDayTierStats {
	clone := lastDayTierStats{
		UpdatedAt: l.UpdatedAt,
	}
	copy(clone.Bins[:], l.Bins[:])
	return clone
}

	if cond == "" {
		return true
	}
	bits, ok := ParseARMCondition(cond)
	if !ok {
		return false
	}
	/* hack to make B.NE etc. work: turn it into the corresponding conditional */
	if prog.As == arm.AB {
		prog.As = bcode[(bits^arm.C_SCOND_XOR)&0xf]
		bits = (bits &^ 0xf) | arm.C_SCOND_NONE
	}
	prog.Scond = bits
	return true
}

  static long getSignificand(double d) {
    checkArgument(isFinite(d), "not a normal value");
    int exponent = getExponent(d);
    long bits = doubleToRawLongBits(d);
    bits &= SIGNIFICAND_MASK;
    return (exponent == MIN_EXPONENT - 1) ? bits << 1 : bits | IMPLICIT_BIT;
  }

  static boolean isFinite(double d) {
    return getExponent(d) <= MAX_EXPONENT;
  }

  static boolean isNormal(double d) {

  public static HashFunction goodFastHash(int minimumBits) {
    int bits = checkPositiveAndMakeMultipleOf32(minimumBits);

    if (bits == 32) {
      return Murmur3_32HashFunction.GOOD_FAST_HASH_32;
    }
    if (bits <= 128) {
      return Murmur3_128HashFunction.GOOD_FAST_HASH_128;
    }

    // Otherwise, join together some 128-bit murmur3s
    int hashFunctionsNeeded = (bits + 127) / 128;

        int written = writePacket.writeTrailerWireFormat(buffer, 0);

        ByteArrayInputStream bais = new ByteArrayInputStream(buffer, 0, written);
        SessionRequestPacket readPacket = new SessionRequestPacket(mockConfig);
        readPacket.length = written;

        int bytesRead = readPacket.readTrailerWireFormat(bais, buffer, 0);

        assertEquals(written, bytesRead);
    }

    @Test