pip prod(deps): update numpy requirement from <2.1,>1.16 to >1.16,<2.2

[dependabot[bot]]

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

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 show ignore conditions` will show all of the ignore conditions of the specified dependency - `@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)

[mloubout]

@dependabot rebase