Bump scipy from 1.4.1 to 1.11.1
Bumps scipy from 1.4.1 to 1.11.1.
Release notes
Sourced from scipy's releases.
SciPy 1.11.1 Release Notes
SciPy
1.11.1is a bug-fix release with no new features compared to1.11.0. In particular, a licensing issue discovered after the release of1.11.0has been addressed.Authors
- Name (commits)
- h-vetinari (1)
- Robert Kern (1)
- Ilhan Polat (4)
- Tyler Reddy (8)
A total of 4 people contributed to this release. People with a "+" by their names contributed a patch for the first time. This list of names is automatically generated, and may not be fully complete.
SciPy 1.11.0 Release Notes
SciPy
1.11.0is the culmination of 6 months of hard work. It contains many new features, numerous bug-fixes, improved test coverage and better documentation. There have been a number of deprecations and API changes in this release, which are documented below. All users are encouraged to upgrade to this release, as there are a large number of bug-fixes and optimizations. Before upgrading, we recommend that users check that their own code does not use deprecated SciPy functionality (to do so, run your code withpython -Wdand check forDeprecationWarnings). Our development attention will now shift to bug-fix releases on the 1.11.x branch, and on adding new features on the main branch.This release requires Python
3.9+and NumPy1.21.6or greater.For running on PyPy, PyPy3
6.0+is required.Highlights of this release
- Several
scipy.sparsearray API improvements, includingsparse.sparray, a new public base class distinct from the oldersparse.spmatrixclass, proper 64-bit index support, and numerous deprecations paving the way to a modern sparse array experience.scipy.statsadded tools for survival analysis, multiple hypothesis testing, sensitivity analysis, and working with censored data.
... (truncated)
Commits
cfe8011REL: 1.11.1 rel commit [wheel build]450d8aaMerge pull request #18779 from tylerjereddy/treddy_1_11_1_prep6f942e8DOC: update 1.11.1 relnotes145cec5MAINT: fix unuran licensing0760babMAINT:linalg.det:Return scalars for singleton inputs (#18763)a1c6f99MAINT:linalg:Use only NumPy types in lu5cdc2feMAINT:linalg:Remove memcpy from lud9ac3f3FIX:linalg:Guard against possible permute_l out of bound behavior7ec5010BUG: fix handling forfactorial(..., exact=False)for 0-dim array inputs (#...90415c6BUG: Fix work array construction for various weight shapes. (#18741)- Additional commits viewable in compare view
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