Releases: kr-colab/diploSHIC
Releases · kr-colab/diploSHIC
v1.1.0
What's New
Performance Improvements
- 2.4x faster feature vector generation for MS simulation files
- Replaced C/Fortran extension with pure Python + Numba JIT compilation
- BLAS-optimized matrix operations for LD statistics (R², ZnS, Omega)
- Vectorized pairwise difference calculations
Modernized Packaging
- Pure Python package (no compilation required)
- Python 3.10, 3.11, and 3.12 support
- Flexible dependency versions (TensorFlow 2.13+)
- Simplified installation:
pip install diploshic
Infrastructure
- Modern CI/CD with GitHub Actions
- PyPI Trusted Publishing for secure releases
- Comprehensive regression test suite
Installation
pip install diploshic==1.1.0Or with uv:
uv pip install diploshic==1.1.0Full Changelog
v1.0.6 -- maintenance release
this release updates diploshic to be compatible with tensorflow v2.15
v1.0.4 release
bug fix release to cover edge case where user specifies segment but all snps are masked in that segment
v0.3333333 Release Release
quick bug fix release from @dschride
v0.333333 release
pip package initial release. diploshic is now available to install via pip install diploshic