本文介绍了Golang中的加权随机的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我必须在Golang中进行加权随机,但出现错误:
I have to do weighted Random in Golang but I'm getting an error:
multiple-value randutil.WeightedChoice() in single-value context
代码:
package main
import "fmt"
import "github.com/jmcvetta/randutil"
func main() {
choices := make([]randutil.Choice, 0, 2)
choices = append(choices, randutil.Choice{1, "dg"})
choices = append(choices, randutil.Choice{2, "n"})
result := randutil.WeightedChoice(choices)
fmt.Println(choices)
}
任何帮助将不胜感激.
推荐答案
func WeightedChoice(choices [] Choice)(Choice,error)
返回 Choice,error
,所以使用 result,err:= randutil.WeightedChoice(choices)
,就像这样的工作代码:
The func WeightedChoice(choices []Choice) (Choice, error)
returns Choice, error
, so use result, err := randutil.WeightedChoice(choices)
, like this working code:
package main
import (
"fmt"
"github.com/jmcvetta/randutil"
)
func main() {
choices := make([]randutil.Choice, 0, 2)
choices = append(choices, randutil.Choice{1, "dg"})
choices = append(choices, randutil.Choice{2, "n"})
fmt.Println(choices) // [{1 dg} {2 n}]
result, err := randutil.WeightedChoice(choices)
if err != nil {
panic(err)
}
fmt.Println(result) //{2 n}
}
输出:
[{1 dg} {2 n}]
{2 n}
这篇关于Golang中的加权随机的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!