Files
vvs 1f9cbe4a48 v1.1.0: extend binary matrix to CPython 3.10/3.11/3.13 on Linux and Windows
- Linux x86_64: add cp310, cp311, cp313 (.so), built in conda-forge envs.
- Windows AMD64: add cp310, cp311, cp313 (.pyd), built with MSVC v14.50.
- All eight binaries verified to produce identical numerical output.
- README compatibility table + build provenance updated.
- macOS still deferred.
2026-05-10 11:17:10 +01:00

2.9 KiB

Changelog

All notable changes to sem_cython12 are recorded in this file.

The project follows Semantic Versioning: a release MAJOR.MINOR.PATCH increments

  • MAJOR on breaking API changes,
  • MINOR on backwards-compatible feature additions,
  • PATCH on backwards-compatible bug fixes.

[1.1.0] - 2026-05-10

Binary matrix expanded to four CPython versions on both supported platforms.

Added

  • Pre-compiled Linux x86_64 binaries for CPython 3.10, 3.11, 3.13 (sem_core12.cpython-3{10,11,13}-x86_64-linux-gnu.so). Built in isolated conda-forge environments with conda-forge gcc, same OpenMP and optimisation flags as the cp312 binary.
  • Pre-compiled Windows AMD64 binaries for CPython 3.10, 3.11, 3.13 (sem_core12.cp3{10,11,13}-win_amd64.pyd). Built with MSVC v14.50 against the matching CPython installed via winget.

Verified

  • All eight binaries (4 Linux + 4 Windows) produce identical numerical output for the same fixed-seed input on batch_max_similarity.

Compatibility notes

  • macOS is still not provided in this release. Contact sales@sevana.biz if you need a macOS build.
  • numpy requirement unchanged: numpy >= 1.23.

[1.0.0] - 2026-05-09

First public release.

Included

  • Pre-compiled Linux x86_64 binary (sem_core12.cpython-312-x86_64-linux-gnu.so) built with gcc 13.3, OpenMP-parallel (libgomp), -O3 -ffast-math -march=native.
  • Pre-compiled Windows AMD64 binary (sem_core12.cp312-win_amd64.pyd) built with MSVC v14.50 (Visual Studio Build Tools 2026), OpenMP-parallel (vcomp), /O2 /openmp.
  • Python wrapper module sem_cython12.wrapper exposing the public numerical API.
  • Single runtime dependency: numpy >= 1.23.

API surface

Configuration:

  • available(), backend(), get_num_threads(), set_num_threads(n).

Distance and similarity:

  • batch_max_similarity(X_query, X_members, lam)
  • concept_support_matrix(X_query, member_mats, lam)
  • pairwise_distances(X)
  • nn_distances(X)

Best-tradeoff filtering:

  • pareto_core_mask(S)
  • one_sided_mask(S)
  • non_redundant_witnesses(S)

Vector reduction:

  • extend_frontier_kernel(cur_centers, cur_radii, new_emb, cur_arity)

Compatibility

  • CPython 3.12 (cp312) only in this release. Other Python versions are not supported.
  • Linux x86_64 with glibc 2.31 or newer (Ubuntu 20.04 LTS and later, RHEL 9 and later, Debian 11 and later).
  • Windows 10 / Windows 11 / Windows Server 2019+, AMD64 only.
  • macOS binaries are not provided in this release. Contact sales@sevana.biz if you need a macOS build.

Notes

  • Thread count defaults to roughly 50% of the host's logical cores. Override via sem_cython12.wrapper.set_num_threads(n) or the SEM_NUM_THREADS environment variable.
  • The library performs no network I/O, opens no sockets, and writes no files outside the calling process's working directory.