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unitaryfund / mitiq

Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers.
https://mitiq.readthedocs.io
GNU General Public License v3.0
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Update scipy requirement from <=1.13.1,>=1.10.1 to >=1.10.1,<=1.14.0 #2420

Open dependabot[bot] opened 6 days ago

dependabot[bot] commented 6 days ago

Updates the requirements on scipy to permit the latest version.

Release notes

Sourced from scipy's releases.

SciPy 1.14.0 Release Notes

SciPy 1.14.0 is the culmination of 3 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 1.14.x branch, and on adding new features on the main branch.

This release requires Python 3.10+ and NumPy 1.23.5 or greater.

For running on PyPy, PyPy3 6.0+ is required.

Highlights of this release

  • SciPy now supports the new Accelerate library introduced in macOS 13.3, and has wheels built against Accelerate for macOS >=14 resulting in significant performance improvements for many linear algebra operations.
  • A new method, cobyqa, has been added to scipy.optimize.minimize - this is an interface for COBYQA (Constrained Optimization BY Quadratic Approximations), a derivative-free optimization solver, designed to supersede COBYLA, developed by the Department of Applied Mathematics, The Hong Kong Polytechnic University.
  • scipy.sparse.linalg.spsolve_triangular is now more than an order of magnitude faster in many cases.

New features

scipy.fft improvements

  • A new function, scipy.fft.prev_fast_len, has been added. This function finds the largest composite of FFT radices that is less than the target length. It is useful for discarding a minimal number of samples before FFT.

scipy.io improvements

  • wavfile now supports reading and writing of wav files in the RF64 format, allowing files greater than 4 GB in size to be handled.

scipy.constants improvements

  • Experimental support for the array API standard has been added.

... (truncated)

Commits
  • 87c4664 REL: SciPy 1.14.0 rel commit [wheel build]
  • ac63c81 Merge pull request #21019 from tylerjereddy/treddy_1.14.0_final_backports
  • 541003f DOC: update 1.14 relnotes [wheel build]
  • a08d1ff MAINT: stats.gstd: warn when an observation is <= 0
  • a4f7119 DEP: special.perm: deprecate non-integer N and k with exact=True (#20909)
  • 73339fb TST: stats: fix use of np.testing to compare xp-arrays
  • 0542df6 DOC: Update 1.14.0 release notes
  • f8e530c STY: _lib._util: silence mypy
  • e2cbda2 TST:sparse.linalg: Skip test due to sensitivity to numerical noise
  • 4fb2e6a TST: robustify test_nnls_inner_loop_case1
  • Additional commits viewable in compare view


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codecov[bot] commented 6 days ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Project coverage is 98.32%. Comparing base (20732a0) to head (814656f).

Additional details and impacted files ```diff @@ Coverage Diff @@ ## main #2420 +/- ## ======================================= Coverage 98.32% 98.32% ======================================= Files 87 87 Lines 4048 4048 ======================================= Hits 3980 3980 Misses 68 68 ```

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