package org.apache.lucene.util; /** * Copyright 2005 The Apache Software Foundation * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ /** Floating point numbers smaller than 32 bits. * * @lucene.internal */ public class SmallFloat { /** Converts a 32 bit float to an 8 bit float. * <br>Values less than zero are all mapped to zero. * <br>Values are truncated (rounded down) to the nearest 8 bit value. * <br>Values between zero and the smallest representable value * are rounded up. * * @param f the 32 bit float to be converted to an 8 bit float (byte) * @param numMantissaBits the number of mantissa bits to use in the byte, with the remainder to be used in the exponent * @param zeroExp the zero-point in the range of exponent values * @return the 8 bit float representation */ public static byte floatToByte(float f, int numMantissaBits, int zeroExp) { // Adjustment from a float zero exponent to our zero exponent, // shifted over to our exponent position. int fzero = (63-zeroExp)<<numMantissaBits; int bits = Float.floatToRawIntBits(f); int smallfloat = bits >> (24-numMantissaBits); if (smallfloat <= fzero) { return (bits<=0) ? (byte)0 // negative numbers and zero both map to 0 byte :(byte)1; // underflow is mapped to smallest non-zero number. } else if (smallfloat >= fzero + 0x100) { return -1; // overflow maps to largest number } else { return (byte)(smallfloat - fzero); } } /** Converts an 8 bit float to a 32 bit float. */ public static float byteToFloat(byte b, int numMantissaBits, int zeroExp) { // on Java1.5 & 1.6 JVMs, prebuilding a decoding array and doing a lookup // is only a little bit faster (anywhere from 0% to 7%) if (b == 0) return 0.0f; int bits = (b&0xff) << (24-numMantissaBits); bits += (63-zeroExp) << 24; return Float.intBitsToFloat(bits); } // // Some specializations of the generic functions follow. // The generic functions are just as fast with current (1.5) // -server JVMs, but still slower with client JVMs. // /** floatToByte(b, mantissaBits=3, zeroExponent=15) * <br>smallest non-zero value = 5.820766E-10 * <br>largest value = 7.5161928E9 * <br>epsilon = 0.125 */ public static byte floatToByte315(float f) { int bits = Float.floatToRawIntBits(f); int smallfloat = bits >> (24-3); if (smallfloat <= ((63-15)<<3)) { return (bits<=0) ? (byte)0 : (byte)1; } if (smallfloat >= ((63-15)<<3) + 0x100) { return -1; } return (byte)(smallfloat - ((63-15)<<3)); } /** byteToFloat(b, mantissaBits=3, zeroExponent=15) */ public static float byte315ToFloat(byte b) { // on Java1.5 & 1.6 JVMs, prebuilding a decoding array and doing a lookup // is only a little bit faster (anywhere from 0% to 7%) if (b == 0) return 0.0f; int bits = (b&0xff) << (24-3); bits += (63-15) << 24; return Float.intBitsToFloat(bits); } /** floatToByte(b, mantissaBits=5, zeroExponent=2) * <br>smallest nonzero value = 0.033203125 * <br>largest value = 1984.0 * <br>epsilon = 0.03125 */ public static byte floatToByte52(float f) { int bits = Float.floatToRawIntBits(f); int smallfloat = bits >> (24-5); if (smallfloat <= (63-2)<<5) { return (bits<=0) ? (byte)0 : (byte)1; } if (smallfloat >= ((63-2)<<5) + 0x100) { return -1; } return (byte)(smallfloat - ((63-2)<<5)); } /** byteToFloat(b, mantissaBits=5, zeroExponent=2) */ public static float byte52ToFloat(byte b) { // on Java1.5 & 1.6 JVMs, prebuilding a decoding array and doing a lookup // is only a little bit faster (anywhere from 0% to 7%) if (b == 0) return 0.0f; int bits = (b&0xff) << (24-5); bits += (63-2) << 24; return Float.intBitsToFloat(bits); } }
这个类的功能是:
1、对于小于0的置为0
2、对于0与小的可表示值之间的值向上舍入
3、其余的向下舍入到8位值
首先,我们看看什么是符点数
浮点数是属于有理数中某特定子集的数的数字表示,在计算机中用以近似表示任意某个实数。具体的说,这个实数由一个整数或定点数(即尾数)乘以某个基数(计算机中通常是2)的整数次幂得到,这种表示方法类似于基数为10的科学记数法。
然后,我们来看一下IEEE754标准是如何描述符点数
类型 | 存储位数 | 偏移值 | ||||
数符(s) | 阶码(E) | 尾数(M) | 总位数 | 十六进制 | 十进制 | |
短实数(Single,Float) | 1位 | 8位 | 23位 | 32位 | 0x7FH | +127 |
长实数(Double) | 1位 | 11 位 | 52位 | 64位 | 0x3FFH | +1023 |
临时实数(延伸双精确度,不常用) | 1位 | 15位 | 64位 | 80位 | 0x3FFFH | +16383 |
public static float byteToFloat(byte b, int numMantissaBits, int zeroExp)
8位到32位flloat
public static byte floatToByte315(float f)
相当于:floatToByte(b, mantissaBits=3, zeroExponent=15)
public static float byte315ToFloat(byte b)
相当于: byteToFloat(b, mantissaBits=3, zeroExponent=15)
public static byte floatToByte52(float f)
相当于 :floatToByte(b, mantissaBits=5, zeroExponent=2)
public static float byte52ToFloat(byte b)
相当于:byteToFloat(b, mantissaBits=5, zeroExponent=2)