find the variance of all nodes in a linked list in go

To find the variance of all nodes in a linked list in Go, we need to perform the following steps:

1. Traverse the list and store the values of all nodes in a slice.
2. Calculate the mean of the values in the slice.
3. Calculate the variance of the values in the slice.

Here is the code snippet that implements the above algorithm:

main.go
package main

import (
    "container/list"
    "fmt"
    "math"
    "math/rand"
)

func main() {
    l := list.New()
    for i := 0; i < 10; i++ {
        l.PushBack(rand.Float64())
    }
    fmt.Println(getVariance(l))
}

func getVariance(l *list.List) float64 {
    var data []float64
    for e := l.Front(); e != nil; e = e.Next() {
        data = append(data, e.Value.(float64))
    }
    mean := getMean(data)
    var sum float64
    for _, value := range data {
        sum += math.Pow((value - mean), 2)
    }
    return sum / float64(len(data))
}

func getMean(data []float64) float64 {
    var sum float64
    for _, value := range data {
        sum += value
    }
    return sum / float64(len(data))
}
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In this code snippet, we first generate a linked list of 10 random float64 values using the rand package. Then, we call the getVariance function, which takes the linked list as input and returns the variance of all nodes in the list.

The getVariance function first extracts the values of all nodes in the list and stores them in a slice called data. Then, it computes the mean of the values using the getMean function. Finally, it calculates the variance of the values using the formula sum((x - mean)^2) / n, where x is a value in the data slice, mean is the mean of the data slice, and n is the length of the data slice.

The getMean function simply calculates and returns the mean of a slice of float64 values.

Note that we are using the built-in container/list package in Go to represent the linked list, and we are using the math package to perform mathematical operations.