初步弄完math/rand

math/rand/Int31n.md

@@ -1,6 +1,6 @@
 ## func Int31n(n int32) int32
 
-参数列表
+参数列表:
 
 - n 期望输出随机值的最大限制值
 

math/rand/NewSource.md

@@ -0,0 +1,43 @@
+## func NewSource(seed int64) Source
+
+参数列表:
+
+- int64类型的值作为种子值
+
+
+返回值:
+
+- Source结构体
+
+功能说明：
+
+该函数主要返回一个指定种子的随机数产生器.
+
+
+代码实例:
+
+	package main
+
+	import (
+		"fmt"
+		"math/rand"
+		"time"
+	)
+
+	func main() {
+		n := 10
+		i := 0
+
+		r := rand.New(rand.NewSource(time.Now().UnixNano()))
+		for i < n {
+			fmt.Println(r.Int())
+			i += 1
+		}
+	}
+
+
+
+
+
+
+

math/rand/NewZipf.md

@@ -0,0 +1,47 @@
+## func NewZipf(r *Rand, s float64, v float64, imax uint64) *Zipf
+
+参数列表:
+
+- r *Rand 随机值产生器结构体指针
+- s float64 Zipf公式的s参数
+- v float64 Zipf公司的v参数
+- imax uint64 分布区间的最大值
+
+
+返回值:
+
+- Zipf 指针
+
+功能说明：
+
+该函数实现取值是0到imax之间与(v+k)**(-s)成比例的Zipf分布.
+
+
+代码实例:
+
+	package main
+
+	import (
+		"fmt"
+		"math/rand"
+		"time"
+	)
+
+	func main() {
+		n := 10
+		i := 0
+
+		r := rand.New(rand.NewSource(time.Now().UnixNano()))
+		zipf := rand.NewZipf(r, 3.14, 2.72, 5000)
+		for i < n {
+			fmt.Println(zipf.Uint64())
+			i += 1
+		}
+	}
+
+
+
+
+
+
+

math/rand/README.md

@@ -15,23 +15,23 @@
 - [func Perm(n int) []int](Perm.md)
 - [func Seed(seed int64)](Seed.md)
 - [func Uint32() uint32](Uint32.md)
-- type Rand
--    [func New(src Source) *Rand](New.md)
--    [func (r *Rand) ExpFloat64() float64](Rand-ExpFloat64.md)
--    [func (r *Rand) Float32() float32](Rand-Float32.md)
--    [func (r *Rand) Float64() float64](Rand-Float64.md)
--    [func (r *Rand) Int() int](Rand-Int.md)
--    [func (r *Rand) Int31() int32](Rand-Int31.md)
--    [func (r *Rand) Int31n(n int32) int32](Rand-Int31n.md)
--    [func (r *Rand) Int63() int64](Rand-Int63.md)
--    [func (r *Rand) Int63n(n int64) int64](Rand-Int63n.md)
--    [func (r *Rand) Intn(n int) int](Rand-Intn.md)
--    [func (r *Rand) NormFloat64() float64](Rand-NormFloat64.md)
--    [func (r *Rand) Perm(n int) []int](Rand-Perm.md)
--    [func (r *Rand) Seed(seed int64)](Rand-Seed.md)
--    [func (r *Rand) Uint32() uint32](Rand-Uint32.md)
-- type Source
--    func NewSource(seed int64) Source
-- type Zipf
--    func NewZipf(r *Rand, s float64, v float64, imax uint64) *Zipf
--    func (z *Zipf) Uint64() uint64
+- [type Rand](Rand.md)
+	- [func New(src Source) *Rand](New.md)
+	- [func (r *Rand) ExpFloat64() float64](Rand-ExpFloat64.md)
+	- [func (r *Rand) Float32() float32](Rand-Float32.md)
+	- [func (r *Rand) Float64() float64](Rand-Float64.md)
+	- [func (r *Rand) Int() int](Rand-Int.md)
+	- [func (r *Rand) Int31() int32](Rand-Int31.md)
+	- [func (r *Rand) Int31n(n int32) int32](Rand-Int31n.md)
+	- [func (r *Rand) Int63() int64](Rand-Int63.md)
+	- [func (r *Rand) Int63n(n int64) int64](Rand-Int63n.md)
+	- [func (r *Rand) Intn(n int) int](Rand-Intn.md)
+	- [func (r *Rand) NormFloat64() float64](Rand-NormFloat64.md)
+	- [func (r *Rand) Perm(n int) []int](Rand-Perm.md)
+	- [func (r *Rand) Seed(seed int64)](Rand-Seed.md)
+	- [func (r *Rand) Uint32() uint32](Rand-Uint32.md)
+- [type Source](Source.md)
+	- [func NewSource(seed int64) Source](NewSource.md)
+- [type Zipf](Zipf.md)
+	- [func NewZipf(r *Rand, s float64, v float64, imax uint64) *Zipf](NewZipf.md)
+	- [func (z *Zipf) Uint64() uint64](Zipf-Uint64.md)

math/rand/Source.md

@@ -0,0 +1,18 @@
+## type Source interface {
+##		  Int63() int64
+##  	  Seed(seed int64)
+## }
+
+
+Source 结构体是0到2^63-1之间的均匀分布的伪随机数的来源.
+
+
+
+
+
+
+
+
+
+
+

math/rand/Zipf-Uint64.md

@@ -0,0 +1,40 @@
+## func (*Zipf) Uint64 uint64
+
+
+返回值:
+
+- unit64
+
+功能说明：
+
+该函数返回一个按照Zipf对象表述的Zipf分布的值.
+
+
+代码实例:
+
+	package main
+
+	import (
+		"fmt"
+		"math/rand"
+		"time"
+	)
+
+	func main() {
+		n := 10
+		i := 0
+
+		r := rand.New(rand.NewSource(time.Now().UnixNano()))
+		zipf := rand.NewZipf(r, 3.14, 2.72, 5000)
+		for i < n {
+			fmt.Println(zipf.Uint64())
+			i += 1
+		}
+	}
+
+
+
+
+
+
+

math/rand/Zipf.md

@@ -0,0 +1,17 @@
+##	type Zipf struct {
+##    	// contains filtered or unexported fields
+##	}
+
+
+Zipf 是一个产生Zipf分布变量的结构体.
+
+
+
+
+
+
+
+
+
+
+