MSIprofiler Bump scipy from 0.17.0 to 1.11.1

Bumps scipy from 0.17.0 to 1.11.1.

Release notes

SciPy 1.11.1 Release Notes

SciPy 1.11.1 is a bug-fix release with no new features compared to 1.11.0. In particular, a licensing issue discovered after the release of 1.11.0 has 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 1.11.0 is 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 with python -Wd and check for DeprecationWarning s). 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 NumPy 1.21.6 or greater.

For running on PyPy, PyPy3 6.0+ is required.

Highlights of this release

Several scipy.sparse array API improvements, including sparse.sparray, a new public base class distinct from the older sparse.spmatrix class, proper 64-bit index support, and numerous deprecations paving the way to a modern sparse array experience.

scipy.stats added tools for survival analysis, multiple hypothesis testing, sensitivity analysis, and working with censored data.

... (truncated)

Commits

cfe8011 REL: 1.11.1 rel commit [wheel build]
450d8aa Merge pull request #18779 from tylerjereddy/treddy_1_11_1_prep
6f942e8 DOC: update 1.11.1 relnotes
145cec5 MAINT: fix unuran licensing
0760bab MAINT:linalg.det:Return scalars for singleton inputs (#18763)
a1c6f99 MAINT:linalg:Use only NumPy types in lu
5cdc2fe MAINT:linalg:Remove memcpy from lu
d9ac3f3 FIX:linalg:Guard against possible permute_l out of bound behavior
7ec5010 BUG: fix handling for factorial(..., exact=False) for 0-dim array inputs (#...
90415c6 BUG: Fix work array construction for various weight shapes. (#18741)
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