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cansyl / DEEPScreen

DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images
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Bump scipy from 1.5.0rc2 to 1.11.0rc1 in /bin #18

Open dependabot[bot] opened 5 months ago

dependabot[bot] commented 5 months ago

Bumps scipy from 1.5.0rc2 to 1.11.0rc1.

Release notes

Sourced from scipy's releases.

SciPy 1.11.0rc1

SciPy 1.11.0 Release Notes

Note: SciPy 1.11.0 is not released yet!

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 a new public base class distinct from the older matrix class, proper 64-bit index support, and numerous deprecations paving the way to a modern sparse array experience.
  • Added three new statistical distributions, and wide-ranging performance and precision improvements to several other statistical distributions.
  • A new function was added for quasi-Monte Carlo integration, and linear algebra functions det and lu now accept nD-arrays.
  • An axes argument was added broadly to ndimage functions, facilitating analysis of stacked image data.

New features

scipy.integrate improvements

  • Added scipy.integrate.qmc_quad for quasi-Monte Carlo integration.
  • For an even number of points, scipy.integrate.simpson now calculates a parabolic segment over the last three points which gives improved accuracy over the previous implementation.

scipy.cluster improvements

  • disjoint_set has a new method subset_size for providing the size

... (truncated)

Commits
  • 646ae07 REL: 1.11.0rc1 [wheel build]
  • fa053c5 MAINT: version bounds for 1.11.0rc1 (#18591)
  • d0510af Merge pull request #18563 from tylerjereddy/treddy_1_11_relnotes
  • 5117512 DOC: PR 18563 revisions
  • 187032a DOC: PR 18563 revisions
  • ff7ca0e DOC: PR 18563 revisions
  • 166713e Merge pull request #72 from mdhaber/release_update
  • 1878b8c DOC: stats: improve 1.11.0 stats release notes
  • 0a37730 MAINT: integrate: revertfull_output deprecation / result object change (#18...
  • 5d793a8 Merge pull request #17334 from scottshambaugh/unique_quats
  • Additional commits viewable in compare view


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