1 // Copyright 2015 The Go Authors. All rights reserved.
2 // Use of this source code is governed by a BSD-style
3 // license that can be found in the LICENSE file.
11 // fastlog2 implements a fast approximation to the base 2 log of a
12 // float64. This is used to compute a geometric distribution for heap
13 // sampling, without introducing dependencies into package math. This
14 // uses a very rough approximation using the float64 exponent and the
15 // first 25 bits of the mantissa. The top 5 bits of the mantissa are
16 // used to load limits from a table of constants and the rest are used
17 // to scale linearly between them.
18 func fastlog2(x
float64) float64 {
19 const fastlogScaleBits
= 20
20 const fastlogScaleRatio
= 1.0 / (1 << fastlogScaleBits
)
22 xBits
:= float64bits(x
)
23 // Extract the exponent from the IEEE float64, and index a constant
24 // table with the first 10 bits from the mantissa.
25 xExp
:= int64((xBits
>>52)&0x7FF) - 1023
26 xManIndex
:= (xBits
>> (52 - fastlogNumBits
)) % (1 << fastlogNumBits
)
27 xManScale
:= (xBits
>> (52 - fastlogNumBits
- fastlogScaleBits
)) % (1 << fastlogScaleBits
)
29 low
, high
:= fastlog2Table
[xManIndex
], fastlog2Table
[xManIndex
+1]
30 return float64(xExp
) + low
+ (high
-low
)*float64(xManScale
)*fastlogScaleRatio
33 // float64bits returns the IEEE 754 binary representation of f.
34 // Taken from math.Float64bits to avoid dependencies into package math.
35 func float64bits(f
float64) uint64 { return *(*uint64)(unsafe
.Pointer(&f
)) }