Stratax

Stratax is a modern C++ library for efficient multi-dimensional array operations, with Python bindings through pybind11.

Features

• Multi-dimensional arrays: Vector, Matrix, and Tensor classes for structured data
• Flexible operations: Arithmetic, comparison, indexing, and slicing operations
• Safe validation: Built-in shape, dimension, type, and index validation
• Python integration: Python API via the _core extension module
• Efficient computation: Row-major storage with shape and stride metadata

Quick Links

• User Guide - Learn the current C++ and Python APIs
• Python API Reference - Scan the Python wrapper API
• Getting Started - Set up and verify your installation
• Architecture - Understand the library design
• Examples - Try focused C++ and Python examples
• Troubleshooting - Diagnose common setup and build issues
• Developer Docs - Deep dive into core concepts and implementation

Core Components

Data Structures

• Vector - 1D array type for sequential data
• Matrix - 2D array type for tabular data
• Tensor - N-dimensional array type for general use
• Shape - Dimension information and rank tracking
• Buffer - Underlying contiguous storage management

Operations

• Arithmetic - Element-wise addition, subtraction, multiplication, division
• Comparison - Equality and inequality testing
• Indexing - Multi-dimensional array access with bounds checking
• Slicing - Sub-array extraction with copy-based results
• Algorithms - Creation helpers, conversion helpers, reductions, and reshaping

Validation

• Shape compatibility checking
• Type consistency enforcement
• Index boundary validation
• Dimension count verification

Documentation Structure

Section	Purpose
Guides	Getting started, setup instructions, examples, and project workflow
API Reference	C++ header documentation and usage examples
Developer Docs	Architecture, design decisions, and contributor guidelines

Links

• GitHub Repository
• Python Package
• License: MIT

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Stratax v0.2.0 - Efficient, validated array operations for C++ and Python.