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sktime / pytorch-forecasting

Time series forecasting with PyTorch
https://pytorch-forecasting.readthedocs.io/
MIT License
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build(deps): update numpy requirement from <2.0.0 to <3.0.0 #1626

Closed dependabot[bot] closed 2 months ago

dependabot[bot] commented 2 months ago

Updates the requirements on numpy to permit the latest version.

Release notes

Sourced from numpy's releases.

2.1.0 (Aug 18, 2024)

NumPy 2.1.0 Release Notes

NumPy 2.1.0 provides support for the upcoming Python 3.13 release and drops support for Python 3.9. In addition to the usual bug fixes and updated Python support, it helps get us back into our usual release cycle after the extended development of 2.0. The highlights for this release are:

  • Support for the array-api 2023.12 standard.
  • Support for Python 3.13.
  • Preliminary support for free threaded Python 3.13.

Python versions 3.10-3.13 are supported in this release.

New functions

New function numpy.unstack

A new function np.unstack(array, axis=...) was added, which splits an array into a tuple of arrays along an axis. It serves as the inverse of [numpy.stack]{.title-ref}.

(gh-26579)

Deprecations

  • The fix_imports keyword argument in numpy.save is deprecated. Since NumPy 1.17, numpy.save uses a pickle protocol that no longer supports Python 2, and ignored fix_imports keyword. This keyword is kept only for backward compatibility. It is now deprecated.

    (gh-26452)

  • Passing non-integer inputs as the first argument of [bincount]{.title-ref} is now deprecated, because such inputs are silently cast to integers with no warning about loss of precision.

    (gh-27076)

Expired deprecations

  • Scalars and 0D arrays are disallowed for numpy.nonzero and numpy.ndarray.nonzero.

    (gh-26268)

  • set_string_function internal function was removed and PyArray_SetStringFunction was stubbed out.

... (truncated)

Commits
  • 2f7fe64 Merge pull request #27236 from charris/prepare-2.1.0
  • b6f434f REL: Prepare for the NumPy 2.1.0 release [wheel build]
  • 3cf9394 Merge pull request #27234 from charris/backport-25984
  • 7443dcc Merge pull request #27233 from charris/backport-27223
  • 85b1cab BUG: Allow fitting of degree zero polynomials with Polynomial.fit
  • 395a81d DOC: reword discussion about shared arrays to hopefully be clearer
  • 5af2e96 Move NUMUSERTYPES thread safety discussion to legacy DType API docs
  • d902c24 DOC: add docs on thread safety in NumPy
  • c080180 Merge pull request #27229 from charris/backport-27226
  • 44ce7e8 BUG: Fix PyArray_ZeroContiguousBuffer (resize) with struct dtypes
  • Additional commits viewable in compare view


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Codecov Report

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Project coverage is 90.14%. Comparing base (e2bf3fd) to head (993dd45).

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Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #1626 +/- ## ======================================= Coverage 90.14% 90.14% ======================================= Files 32 32 Lines 4780 4780 ======================================= Hits 4309 4309 Misses 471 471 ``` | [Flag](https://app.codecov.io/gh/jdb78/pytorch-forecasting/pull/1626/flags?src=pr&el=flags&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Jan+Beitner) | Coverage Δ | | |---|---|---| | [cpu](https://app.codecov.io/gh/jdb78/pytorch-forecasting/pull/1626/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Jan+Beitner) | `90.14% <ø> (ø)` | | | [pytest](https://app.codecov.io/gh/jdb78/pytorch-forecasting/pull/1626/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Jan+Beitner) | `90.14% <ø> (ø)` | | Flags with carried forward coverage won't be shown. [Click here](https://docs.codecov.io/docs/carryforward-flags?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=Jan+Beitner#carryforward-flags-in-the-pull-request-comment) to find out more.

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dependabot[bot] commented 2 months ago

A newer version of numpy exists, but since this PR has been edited by someone other than Dependabot I haven't updated it. You'll get a PR for the updated version as normal once this PR is merged.

fkiraly commented 2 months ago

duplicate of https://github.com/jdb78/pytorch-forecasting/pull/1624

dependabot[bot] commented 2 months ago

OK, I won't notify you again about this release, but will get in touch when a new version is available. If you'd rather skip all updates until the next major or minor version, let me know by commenting @dependabot ignore this major version or @dependabot ignore this minor version. You can also ignore all major, minor, or patch releases for a dependency by adding an ignore condition with the desired update_types to your config file.

If you change your mind, just re-open this PR and I'll resolve any conflicts on it.