Acest proiect este o bibliotecă de teoria mulțimilor pentru Go care oferă o structură de date pentru stocarea elementelor unice de orice tip comparabil, folosind generice. Servește ca instrument pentru gestionarea colecțiilor unice și efectuarea de operații matematice precum intersecții și diferențe.
Principalele funcționalități ale deckarep/golang-set sunt: Go Generic Collections, Unordered Unique Collection Management, Map-Based Set Implementations, Membership Testing, Set Comparison Utilities, Mutexes and Locks, Generic Type Constraints, Set Operations.
Alternativele open-source pentru deckarep/golang-set includ: zyedidia/generic — This project is a comprehensive library of type-safe, high-performance data structures for Go. By leveraging… workiva/go-datastructures — go-datastructures is a collection of thread-safe and lock-free data structures designed for high-performance… crazyguitar/pysheeet — pysheeet is a technical reference library providing a curated collection of code snippets and implementation patterns… teivah/100-go-mistakes — 100 Go Mistakes is a reference book and code review companion that catalogues frequent Go programming anti-patterns… loong/go-concurrency-exercises — This project is an educational resource designed to help developers master concurrent execution and synchronization… nalgeon/redka — Redka is a SQL-backed key-value store that implements a Redis-compatible interface. It acts as a relational data…
This project is a comprehensive library of type-safe, high-performance data structures for Go. By leveraging language-level generics, it provides reusable containers and algorithms that eliminate the need for runtime type assertions or interface casting, ensuring efficient and type-safe data management. The library distinguishes itself through its support for persistent data structures and specialized indexing. It utilizes copy-on-write semantics and memory sharing to maintain multiple versions of a collection, allowing for efficient modifications without duplicating entire datasets. Addition
go-datastructures is a collection of thread-safe and lock-free data structures designed for high-performance concurrent applications in Go. It provides a modular library of specialized algorithmic toolsets, including a lock-free collection library and an immutable data structure library. The project distinguishes itself through a suite of persistent AVL trees and hash array mapped tries that use branch-copying to preserve previous versions. It also implements non-blocking hash maps, queues, and tries that enable linearizable snapshots and concurrent updates without the use of mutual exclusion
pysheeet is a technical reference library providing a curated collection of code snippets and implementation patterns for advanced Python development, system integration, and high-performance computing. It serves as a comprehensive guide for implementing low-level network programming, native C extensions, and asynchronous and concurrent programming. The project provides specialized frameworks for the development and deployment of large language models, including tools for distributed GPU inference and high-performance serving. It also includes detailed patterns for high-performance computing
This project is an educational resource designed to help developers master concurrent execution and synchronization patterns in Go. It provides a structured collection of hands-on coding exercises and test-driven challenges that focus on the practical implementation of multi-threaded software engineering practices. The repository emphasizes the core mechanisms of Go concurrency, including channel-based communication, mutex locking, and lifecycle coordination. It covers essential patterns such as managing background tasks, implementing graceful service shutdowns, and enforcing rate limits or e