awesome-repositories.com
Blog
awesome-repositories.com

Descubre los mejores repositorios open-source con nuestra búsqueda potenciada por IA.

ExplorarBúsquedas curadasAlternativas open-sourceSoftware autohospedableBlogMapa del sitio
ProyectoAcerca deCómo clasificamosPrensaServidor MCP
Aviso legalPrivacidadTérminos
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

4 repositorios

Awesome GitHub RepositoriesComplex Number Constant Reconstructions

Reconstructs complex number literal values from compiled bytecode, handling both string-stored and binary-encoded components.

Distinct from Binary Object Reconstruction: Distinct from Binary Object Reconstruction: focuses specifically on complex number constants rather than general data structure recovery from binaries.

Explore 4 awesome GitHub repositories matching operating systems & systems programming · Complex Number Constant Reconstructions. Refine with filters or upvote what's useful.

Awesome Complex Number Constant Reconstructions GitHub Repositories

Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
  • goplus/xgoAvatar de goplus

    goplus/xgo

    9,436Ver en GitHub↗

    Xgo is a programming language that combines familiar constructs from languages like C/C++, Go, Python, and JavaScript with a natural language-style syntax that reads closer to plain English. It executes programs compatible with the Go language, allowing reuse of existing Go libraries and tooling, and supports mixing Go and XGo source files within a single package for gradual adoption of its simplified syntax. The language distinguishes itself through direct foreign function interface capabilities, enabling calls to C/C++ and Python libraries using specialized string literal syntax without man

    Provides built-in functions to retrieve the real and imaginary components of complex numbers.

    Goai-nativedata-sciencegolang
    Ver en GitHub↗9,436
  • zrax/pycdcAvatar de zrax

    zrax/pycdc

    4,304Ver en GitHub↗

    pycdc is a reverse engineering toolset that decompiles and disassembles compiled Python bytecode files back into readable source code. It parses .pyc file headers, reconstructs abstract syntax trees from bytecode instructions, and handles version-specific opcodes across Python versions 1.0 through 3.13 with endian-aware binary parsing. The tool recovers numeric constants, string literals, and marshalled Python objects from compiled bytecode, supporting both file-based and in-memory bytecode loading. It provides a human-readable disassembly listing of bytecode instructions alongside full sourc

    Reconstructs complex number literal values from compiled bytecode, handling both string-stored and binary-encoded components.

    C++cxxdecompilerdisassembler
    Ver en GitHub↗4,304
  • ironcalc/ironcalcAvatar de ironcalc

    ironcalc/IronCalc

    3,750Ver en GitHub↗

    IronCalc is an XLSX spreadsheet engine and formula evaluator designed to compute numerical expressions and manage workbook structures. It utilizes a logic engine compatible with industry standards to evaluate formulas and manage cell dependencies. The project provides a comprehensive suite of specialized toolkits, including a financial calculation library for bond pricing and net present value, and an engineering math toolkit for complex number arithmetic and Bessel functions. It also features a web-based spreadsheet interface for creating and formatting workbooks. The engine covers a broad

    The spreadsheet engine returns the real component of a complex number specified as a string or numeric value.

    Rustreactrustself-hosted
    Ver en GitHub↗3,750
  • 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

    Creates views of real or imaginary parts of complex tensors for independent manipulation.

    C++c-plus-plus-14multidimensional-arraysnumpy
    Ver en GitHub↗3,748
  1. Home
  2. Operating Systems & Systems Programming
  3. Binary Object Reconstruction
  4. Complex Number Constant Reconstructions

Explorar subetiquetas

  • Component ExtractionsUtilities for extracting specific parts of a complex number, such as the real or imaginary components. **Distinct from Complex Number Constant Reconstructions:** Distinct from Complex Number Constant Reconstructions: focuses on isolating components of an existing complex value rather than reconstructing literals from bytecode.