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3 repositorios

Awesome GitHub RepositoriesContainer Adapters

Wrappers for existing data structures that provide specialized access patterns like stacks or queues.

Distinct from Data Structures: Focuses on the adaptation of container behavior rather than general data structure definitions.

Explore 3 awesome GitHub repositories matching programming languages & runtimes · Container Adapters. Refine with filters or upvote what's useful.

Awesome Container Adapters GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • oi-wiki/oi-wikiAvatar de OI-wiki

    OI-wiki/OI-wiki

    26,176Ver en GitHub↗

    This project is a comprehensive, community-maintained knowledge base and toolkit designed for competitive programming. It serves as a centralized repository for algorithmic theory, data structures, and mathematical techniques, providing a structured reference for informatics and collegiate programming competitions. The project distinguishes itself by integrating educational content with a robust suite of automation utilities. It provides a complete workflow for competitive programming, including tools for automated test case generation, solution verification, and direct interaction with onlin

    Wraps data structures to provide specialized access patterns such as stacks, queues, or priority-based ordering.

    TypeScriptacm-icpcacm-icpc-handbookalgorithms
    Ver en GitHub↗26,176
  • xtensor-stack/xtensorAvatar de xtensor-stack

    xtensor-stack/xtensor

    3,748Ver en GitHub↗

    xtensor is a C++ multidimensional array library for numerical computing that provides N-dimensional containers with an interface mirroring the NumPy API. It utilizes a lazy evaluation expression engine to defer numerical computations until assignment, which minimizes memory allocations and intermediate copies. The library features a foreign memory array adaptor that allows it to wrap external buffers, such as NumPy arrays, to perform numerical operations in-place without duplicating data. It further optimizes performance through lazy broadcasting and a system that manages the lifetime of temp

    Wraps random-access containers like vectors or C-arrays as multidimensional interfaces without copying underlying data.

    C++c-plus-plus-14multidimensional-arraysnumpy
    Ver en GitHub↗3,748
  • brendandburns/designing-distributed-systemsAvatar de brendandburns

    brendandburns/designing-distributed-systems

    1,036Ver en GitHub↗

    This repository serves as a tutorial and sample collection for designing cloud-native distributed systems, featuring deployment configurations and sample code focused on recurring microservice patterns. It functions as an architectural pattern guide for building distributed applications on container platforms. The collection demonstrates standard patterns through container configurations and application manifests, covering multi-container pod designs and container interactions. It details infrastructure and orchestration approaches such as running auxiliary containers alongside primary applic

    Demonstrates container adapter configurations that standardize legacy application interfaces for uniform platform consumption.

    Python
    Ver en GitHub↗1,036
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  4. Data Structure and Type Helpers
  5. Data Structures
  6. Container Adapters

Explorar subetiquetas

  • Linear-to-Multidimensional AdaptorsWrappers that present random-access 1-D containers as multidimensional interfaces without copying data. **Distinct from Container Adapters:** Distinct from general Container Adapters by specifically converting 1-D linear memory to N-D tensor semantics.
  • STL Container AdaptationWrappers that map standard library containers to multidimensional array semantics. **Distinct from Container Adapters:** Specifically adapts STL containers for tensor operations, whereas Container Adapters usually refer to stack/queue behaviors.
  • Tensor Semantics AdaptationAdaptation of linear memory containers to support multidimensional indexing and strides. **Distinct from Container Adapters:** Focuses on adding N-dimensional tensor semantics to 1D containers, unlike generic container adapters.