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Is there a better alternative for golang variadic parameters?

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2024-04-29 12:57:021101browse

Better alternatives to variadic functions are: Using slices as arguments Using structures as arguments Using function currying

Is there a better alternative for golang variadic parameters?

Go variadic arguments A better alternative to

Variadic functions in Go allow passing any number of arguments via the ... syntax. While this is convenient in some cases, it also has its limitations, including:

  • Type unsafe: Parameters of variadic functions do not have explicit types, which may This will cause the type checker to fail to detect the error.
  • Inefficiency: Slices are usually used inside variadic functions, which will bring additional memory allocation and copying overhead.

Alternatives

There are several alternatives to variadic functions:

1. Use slices as parameters :

func max(numbers []int) int {
    if len(numbers) == 0 {
        return 0
    }

    max := numbers[0]
    for _, n := range numbers {
        if n > max {
            max = n
        }
    }
    return max
}

2. Use structs as parameters:

type Stats struct {
    Mean float64
    Median float64
    Mode float64
}

func calcStats(nums []float64) Stats {
    // ... 计算统计数据并填充 `Stats` struct
    return Stats{
        Mean: mean,
        Median: median,
        Mode: mode,
    }
}

3. Use function currying:

Currying is the process of converting a multi-parameter function into a series of single-parameter functions. For example, we can curry the max function:

func maxCurried(ns ...int) int {
    return func(n int) int {
        if n > ns[0] {
            ns[0] = n
        }
        return ns[0]
    }
}

Practical case

Suppose we have a function that needs to calculate a series of integers Maximum value, let's compare the efficiency of using variadic functions and slicing functions:

package main

import (
    "fmt"
    "time"
)

func maxVarargs(nums ...int) int {
    if len(nums) == 0 {
        return 0
    }

    max := nums[0]
    for _, n := range nums {
        if n > max {
            max = n
        }
    }
    return max
}

func maxSlice(nums []int) int {
    if len(nums) == 0 {
        return 0
    }

    max := nums[0]
    for _, n := range nums {
        if n > max {
            max = n
        }
    }
    return max
}

func main() {
    // 产生一个包含 100 万个随机整数的切片
    nums := make([]int, 1000000)
    for i := range nums {
        nums[i] = rand.Int()
    }

    // 使用可变参数函数计算最大值
    start := time.Now()
    maxVarargs(nums...)
    elapsedVarargs := time.Since(start)

    // 使用切片函数计算最大值
    start = time.Now()
    maxSlice(nums)
    elapsedSlice := time.Since(start)

    fmt.Println("MaxVarargs execution time:", elapsedVarargs)
    fmt.Println("MaxSlice execution time:", elapsedSlice)
}

Run this program, we will see that the slicing function is significantly faster than the variadic function.

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