Table of Contents
Reduced Capacity after 's = s[2:]'
Memory and Slicing
Can We Recover Cut-Off Elements?
Conclusion
Home Backend Development Golang How Does Slicing a Go Slice with `s = s[2:]` Impact Its Capacity Differently Than `s = s[:0]` or `s = s[:4]`?

How Does Slicing a Go Slice with `s = s[2:]` Impact Its Capacity Differently Than `s = s[:0]` or `s = s[:4]`?

Dec 01, 2024 pm 05:35 PM

How Does Slicing a Go Slice with `s = s[2:]` Impact Its Capacity Differently Than `s = s[:0]` or `s = s[:4]`?

Slicing and Capacity Reduction in Go Slices

When you work with slices in Go, it's essential to understand the impact of slicing operations on their capacity. This article addresses a specific question regarding the varying effects of different slicing operations on slice capacity.

Let's consider the following code snippet:

package main

import "fmt"

func main() {
    s := []int{2, 3, 5, 7, 11, 13}
    printSlice(s)

    // Slice the slice to give it zero length.
    s = s[:0]
    printSlice(s)

    // Extend its length.
    s = s[:4]
    printSlice(s)

    // Drop its first two values.
    s = s[2:]
    printSlice(s)
}

func printSlice(s []int) {
    fmt.Printf("len=%d cap=%d %v\n", len(s), cap(s), s)
}
Copy after login

In this code, we have a slice of integers s. After printing it initially, we perform various slicing operations and observe their effects on the slice's length and capacity.

Reduced Capacity after 's = s[2:]'

The key question is why the line s = s[2:] reduces the capacity, unlike s = s[:4] and s = s[:0]. The difference lies in the syntax used: [2:] represents slicing starting from index 2 to the end of the slice, effectively removing the first two elements.

Memory and Slicing

Slices reference a portion of an underlying array in memory. When you alter a slice, you modify its pointer to the array.

In the case of s = s[2:], the slice's pointer moves forward, skipping over the first two elements. This effectively reduces the capacity of the slice since it now points to a smaller portion of the underlying array.

Can We Recover Cut-Off Elements?

Unfortunately, you cannot recover the first two elements that were cut off using s = s[2:]. This is because the slice's pointer has moved forward, and the original data is no longer referenced.

Conclusion

Understanding the behavior of slicing operations is crucial when working with Go slices. Different slicing syntax can have varying effects on capacity, and it's essential to be aware of these implications to prevent unexpected results.

The above is the detailed content of How Does Slicing a Go Slice with `s = s[2:]` Impact Its Capacity Differently Than `s = s[:0]` or `s = s[:4]`?. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1664
14
PHP Tutorial
1268
29
C# Tutorial
1242
24
Golang's Purpose: Building Efficient and Scalable Systems Golang's Purpose: Building Efficient and Scalable Systems Apr 09, 2025 pm 05:17 PM

Go language performs well in building efficient and scalable systems. Its advantages include: 1. High performance: compiled into machine code, fast running speed; 2. Concurrent programming: simplify multitasking through goroutines and channels; 3. Simplicity: concise syntax, reducing learning and maintenance costs; 4. Cross-platform: supports cross-platform compilation, easy deployment.

Golang vs. Python: Performance and Scalability Golang vs. Python: Performance and Scalability Apr 19, 2025 am 12:18 AM

Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

Golang and C  : Concurrency vs. Raw Speed Golang and C : Concurrency vs. Raw Speed Apr 21, 2025 am 12:16 AM

Golang is better than C in concurrency, while C is better than Golang in raw speed. 1) Golang achieves efficient concurrency through goroutine and channel, which is suitable for handling a large number of concurrent tasks. 2)C Through compiler optimization and standard library, it provides high performance close to hardware, suitable for applications that require extreme optimization.

Golang's Impact: Speed, Efficiency, and Simplicity Golang's Impact: Speed, Efficiency, and Simplicity Apr 14, 2025 am 12:11 AM

Goimpactsdevelopmentpositivelythroughspeed,efficiency,andsimplicity.1)Speed:Gocompilesquicklyandrunsefficiently,idealforlargeprojects.2)Efficiency:Itscomprehensivestandardlibraryreducesexternaldependencies,enhancingdevelopmentefficiency.3)Simplicity:

Golang vs. Python: Key Differences and Similarities Golang vs. Python: Key Differences and Similarities Apr 17, 2025 am 12:15 AM

Golang and Python each have their own advantages: Golang is suitable for high performance and concurrent programming, while Python is suitable for data science and web development. Golang is known for its concurrency model and efficient performance, while Python is known for its concise syntax and rich library ecosystem.

Golang vs. C  : Performance and Speed Comparison Golang vs. C : Performance and Speed Comparison Apr 21, 2025 am 12:13 AM

Golang is suitable for rapid development and concurrent scenarios, and C is suitable for scenarios where extreme performance and low-level control are required. 1) Golang improves performance through garbage collection and concurrency mechanisms, and is suitable for high-concurrency Web service development. 2) C achieves the ultimate performance through manual memory management and compiler optimization, and is suitable for embedded system development.

Golang and C  : The Trade-offs in Performance Golang and C : The Trade-offs in Performance Apr 17, 2025 am 12:18 AM

The performance differences between Golang and C are mainly reflected in memory management, compilation optimization and runtime efficiency. 1) Golang's garbage collection mechanism is convenient but may affect performance, 2) C's manual memory management and compiler optimization are more efficient in recursive computing.

The Performance Race: Golang vs. C The Performance Race: Golang vs. C Apr 16, 2025 am 12:07 AM

Golang and C each have their own advantages in performance competitions: 1) Golang is suitable for high concurrency and rapid development, and 2) C provides higher performance and fine-grained control. The selection should be based on project requirements and team technology stack.

See all articles