HadrienG / InSilicoSeq

:rocket: A sequencing simulator
https://insilicoseq.readthedocs.io
MIT License
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Bump scipy from 1.4.1 to 1.5.0 #181

Closed dependabot-preview[bot] closed 4 years ago

dependabot-preview[bot] commented 4 years ago

Bumps scipy from 1.4.1 to 1.5.0.

Release notes

Sourced from scipy's releases.

SciPy 1.5.0 Release Notes

SciPy 1.5.0 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 1.5.x branch, and on adding new features on the master branch.

This release requires Python 3.6+ and NumPy 1.14.5 or greater.

For running on PyPy, PyPy3 6.0+ and NumPy 1.15.0 are required.

Highlights of this release

  • wrappers for more than a dozen new LAPACK routines are now available in scipy.linalg.lapack
  • Improved support for leveraging 64-bit integer size from linear algebra backends
  • addition of the probability distribution for two-sided one-sample Kolmogorov-Smirnov tests

New features

scipy.cluster improvements

Initialization of scipy.cluster.vq.kmeans2 using minit="++" had a quadratic complexity in the number of samples. It has been improved, resulting in a much faster initialization with quasi-linear complexity.

scipy.cluster.hierarchy.dendrogram now respects the matplotlib color palette

scipy.fft improvements

A new keyword-only argument plan is added to all FFT functions in this module. It is reserved for passing in a precomputed plan from libraries providing a FFT backend (such as PyFFTW and mkl-fft), and it is currently not used in SciPy.

scipy.integrate improvements

... (truncated)
Commits
  • 4c0fd79 REL: set version to 1.5.0 "final"
  • ce8c972 Merge pull request #12391 from tylerjereddy/prep_scipy_150_final
  • d60c1b3 MAINT: prepare for SciPy 1.5.0 "final"
  • a7131fa REL: set version to 1.5.0rc2 released
  • 896480b Merge pull request #12345 from tylerjereddy/treddy_150rc2_backports
  • 1e5c8d9 DOC: 1.5.0rc2 release notes update
  • e468042 CI: don't install pydata/sparse when running on Numpy prerelease
  • 3d96899 CI: split travis arm64 run into two
  • a3795e9 DOC: update SciPy 1.5.0rc2 release notes
  • 9803615 MAINT: Work around Sphinx bug (#12335)
  • Additional commits viewable in compare view


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codecov[bot] commented 4 years ago

Codecov Report

Merging #181 into dev will not change coverage. The diff coverage is n/a.

Impacted file tree graph

@@           Coverage Diff           @@
##              dev     #181   +/-   ##
=======================================
  Coverage   88.43%   88.43%           
=======================================
  Files          10       10           
  Lines         830      830           
=======================================
  Hits          734      734           
  Misses         96       96           

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