我尝试了下面的程序，每次都看到不同的字符串

package main

import (
    "fmt"
    "math/rand"
    "time"
)

func RandomString(count int){
  rand.Seed(time.Now().UTC().UnixNano()) 
  for(count > 0 ){
    x := Random(65,91)
    fmt.Printf("%c",x)
    count--;
  }
}

func Random(min, max int) (int){
 return min+rand.Intn(max-min) 
}

func main() {
 RandomString(12)
}

控制台的输出是

D:\james\work\gox>go run rand.go
JFBYKAPEBCRC
D:\james\work\gox>go run rand.go
VDUEBIIDFQIB
D:\james\work\gox>go run rand.go
VJYDQPVGRPXM

我尝试了下面的程序，每次都看到不同的字符串

package main

import (
    "fmt"
    "math/rand"
    "time"
)

func RandomString(count int){
  rand.Seed(time.Now().UTC().UnixNano()) 
  for(count > 0 ){
    x := Random(65,91)
    fmt.Printf("%c",x)
    count--;
  }
}

func Random(min, max int) (int){
 return min+rand.Intn(max-min) 
}

func main() {
 RandomString(12)
}

控制台的输出是

D:\james\work\gox>go run rand.go
JFBYKAPEBCRC
D:\james\work\gox>go run rand.go
VDUEBIIDFQIB
D:\james\work\gox>go run rand.go
VJYDQPVGRPXM

每次在for循环中调用randint()方法时，都会设置一个不同的种子，并根据时间生成一个序列。但是由于循环在您的计算机中运行得很快，在很短的时间内，种子几乎是相同的，并且由于时间的原因，生成的序列与过去的序列非常相似。因此，将种子设置在randint()方法之外就足够了。

package main

import (
    "bytes"
    "fmt"
    "math/rand"
    "time"
)

var r = rand.New(rand.NewSource(time.Now().UTC().UnixNano()))
func main() {
    fmt.Println(randomString(10))
}

func randomString(l int) string {

    var result bytes.Buffer
    var temp string
    for i := 0; i < l; {
        if string(randInt(65, 90)) != temp {
            temp = string(randInt(65, 90))
            result.WriteString(temp)
            i++
        }
    }
    return result.String()
}

func randInt(min int, max int) int {
    return min + r.Intn(max-min)
}

为什么这么复杂!

package main

import (
    "fmt"
    "math/rand"
    "time"
)

func main() {
    rand.Seed( time.Now().UnixNano())
    var bytes int

    for i:= 0 ; i < 10 ; i++{ 
        bytes = rand.Intn(6)+1
        fmt.Println(bytes)
        }
    //fmt.Println(time.Now().UnixNano())
}

这是基于毁灭者的代码但符合我的需要。

它是die 6 (rands int 1 =< i =< 6)

func randomInt (min int , max int  ) int {
    var bytes int
    bytes = min + rand.Intn(max)
    return int(bytes)
}

上面的函数是完全一样的。

我希望这个信息对你有用。

由于golang api的变化，请省略.UTC():

.UnixNano .UTC time.Now()()()——> time.Now () .UnixNano ()

import (
    "fmt"
    "math/rand"
    "time"
)

func main() {
    rand.Seed(time.Now().UnixNano())
    fmt.Println(randomInt(100, 1000))
}

func randInt(min int, max int) int {
    return min + rand.Intn(max-min)
}

随着Go 1.20 (Q4 2022)，种子随机数生成器的正确方法也可以是…什么都不做。

如果没有调用Seed，生成器将在程序启动时随机播种。

“math/rand:随机种子全局生成器”提案已被接受(2022年10月)，并已开始实施:

CL 443058: math/rand:自动播种全局源代码

实现提案#54880，以自动播种全局源代码。

The justification for this not being a breaking change is that any use of the global source in a package's init function or exported API clearly must be valid - that is, if a package changes how much randomness it consumes at init time or in an exported API, that clearly isn't the kind of breaking change that requires issuing a v2 of that package. That kind of per-package change in the position of the global source is indistinguishable from seeding the global source differently. So if the per-package change is valid, so is auto-seeding. And then, of course, auto-seeding means that packages will be far less likely to depend on the specific results of the global source and therefore not break when those kinds of per-package changes happen in the future. Seed(1) can be called in programs that need the old sequence from the global source and want to restore the old behavior. Of course, those programs will still be broken by the per-package changes just described, and it would be better for them to allocate local sources rather than continue to use the global one.

在issue 20661和CL 436955中，还要注意math/rand。Read已弃用:对于几乎所有用例，crypto/rand。读更合适。

如下所示:

我们可以像这样用gosec linter和golanglint-ci 并注意G404代码: goangci -lint run——disable-all——启用gosec