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.
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dependabot[bot]
commented
1 year ago
Bumps scipy from 1.10.0 to 1.11.1.
Release notes
Sourced from scipy's releases.
... (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)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
@dependabot rebase.Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)