借助ai来分析代码,理解代码
这个库不错,学习一下: https://github.com/soheilhy/cmux
800行
67 ./buffer.go
179 ./patricia.go
307 ./cmux.go
18 ./doc.go
267 ./matchers.go
838 total
ChatGPT prompt: Describe multiplexing connections using cmux in golang, with an example combining grpc and https protocols
----------------
Certainly! Here's an example to illustrate the usage of the splitPrefix
function in Go:
package main
import (
"fmt"
)
func splitPrefix(bss [][]byte) (prefix []byte, rest [][]byte) {
if len(bss) == 0 || len(bss[0]) == 0 {
return prefix, bss
}
if len(bss) == 1 {
return bss[0], [][]byte{{}}
}
for i := 0; ; i++ {
var cur byte
eq := true
for j, b := range bss {
if len(b) <= i {
eq = false
break
}
if j == 0 {
cur = b[i]
continue
}
if cur != b[i] {
eq = false
break
}
}
if !eq {
break
}
prefix = append(prefix, cur)
}
rest = make([][]byte, 0, len(bss))
for _, b := range bss {
rest = append(rest, b[len(prefix):])
}
return prefix, rest
}
func main() {
// Example usage of splitPrefix
data := [][]byte{
[]byte("apple"),
[]byte("app"),
[]byte("application"),
}
prefix, rest := splitPrefix(data)
fmt.Println("Common Prefix:", string(prefix))
fmt.Println("Rest:")
for _, r := range rest {
fmt.Println(string(r))
}
}
In this example, we have a collection of byte slices stored in the data
variable. Each byte slice represents a word or a string. We want to find the common prefix among these words and separate it from the rest of the data.
We call the splitPrefix
function, passing in the data
slice. It returns the prefix
slice, which contains the common prefix among the words, and the rest
slice, which contains the remaining parts of each word after removing the prefix.
In the main
function, we print the common prefix and then iterate over the rest
slice to print each word without the common prefix.
When you run this program, the output will be:
Common Prefix: app
Rest:
le
In this example, the common prefix among the words "apple", "app", and "application" is "app". The splitPrefix
function successfully identifies this common prefix and returns it as the prefix
slice. The rest
slice contains the remaining parts of each word after removing the prefix, which in this case is "le".
You can use the splitPrefix
function in various scenarios where you have a collection of byte slices and you want to identify a common prefix and separate it from the rest of the data, just like in this example.
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