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Project description
numbox
A toolbox of low-level utilities for working with numba.
Documentation is available at numbox.
Tools
- Any: A lightweight structure that wraps any value into the same type leveraging a variant of the type erasure technique.
- Bindings: JIT-wrappers of functions imported from dynamically linked libraries.
- Node: A lightweight JIT-compatible graph node with type-erased dependencies in a uniform dynamically-sized vector (numba List).
- Proxy: Create a proxy for a decorated function with specified signatures, enabling efficient JIT compilation and caching.
- Variable: Pure Python framework of a graph calculation. JIT-compiled dispatchers can be invoked by it.
- Vector: Dynamically sized JIT-friendly container of scalars backed by numpy array.
- Work: JIT-compatible unit of calculation work with dependencies, inner states, and custom calculation.
Installation
pip install numbox
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