🧮 sparse-array
Sparse vector and matrix classes with fast C++/NumPy-backed operations
for use in Disco simulation programs and other large-scale discrete event models.
Overview
disco-sparse-array provides compact sparse vector and sparse matrix types that operate efficiently on large, structured numerical data.
The package is optimized for repeated arithmetic and transformation operations that occur during Monte Carlo and discrete-event simulations, as used in the Disco simulation framework.
It combines:
- Lightweight Python classes for usability.
- C++/pybind11 kernels for compute-intensive operations.
- NumPy interoperability for zero-copy exchange of data.
✨ Features
- Sparse Vector and Matrix classes with explicit indices and values.
- Fast arithmetic:
a + b,a @ m, and in-place variants.
- Change detection and subset validation (
diff,changes). - Conversion utilities:
- Sparse → dense arrays (
to_dense). - Dense → sparse (via index filtering).
- Sparse → dense arrays (
- Consistent API and predictable semantics across all operations.
- MIT-licensed, pure Python/C++ — no external runtime dependencies beyond NumPy.
🚀 Installation
pip install disco-sparse-array
1 maintainer
Metadata
1 maintainer
Release files for disco-sparse-array 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| disco_sparse_array-0.1.1.tar.gz | 14.2 kB | With provenance | Details for disco_sparse_array-0.1.1.tar.gz |
Built distributions (wheels)
Total release size: 7.0 MB
Release files / disco_sparse_array-0.1.1.tar.gz
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