chore(deps): update numpy requirement from 0.21.0 to 0.22.1

[dependabot]

Updates the requirements on numpy to permit the latest version.

Release notes

Sourced from numpy's releases.

rust-numpy version 0.21.0

This release matches PyO3 version 0.21.0 and thanks to the tireless work of @​Icxolu migrates to the new Bound API which unlocks pervasive performance improvements. It also adds a prelude module to simplify imports and extends the documentation to cover some surprising behaviours.

Changelog

Sourced from numpy's changelog.

Changelog

• v0.22.1

  • Fix building on 32-bit Windows. (#463)
  • Add PyReadwriteArray::make_nonwriteable. (#462)
  • Implement From<PyReadWriteArray> for PyReadonlyArray. (#462)

• v0.22.0

  • Bump MSRV to 1.63. (#450)
  • Add permute and transpose methods for changing the order of axes of a PyArray. (#428)
  • Add support for NumPy v2 which had a number of changes to the C API. (#442)
  • Add support for ndarray 0.16. (#439)
  • Bumped pyo3 dependency to v0.22.0 which required the addition of several new methods to the Element trait. (#435)

• v0.21.0

  • Migrate to the new Bound API introduced by PyO3 0.21. (#410) (#411) (#412) (#415) (#416) (#418) (#419) (#420) (#421) (#422)
  • Add a prelude module to simplify importing method traits required by the Bound API. (#417)
  • Extend documentation to cover some more surprising behaviours. (#405) (#414)

• v0.20.0

  • Increase MSRV to 1.56 released in October 2021 and available in Debain 12, RHEL 9 and Alpine 3.17 following the same change for PyO3. (#378)
  • Add support for ASCII (PyFixedString<N>) and Unicode (PyFixedUnicode<N>) string arrays, i.e. dtypes SN and UN where N is the number of characters. (#378)
  • Add support for the bfloat16 dtype by extending the optional integration with the half crate. Note that the bfloat16 dtype is not part of NumPy itself so that usage requires third-party packages like Tensorflow. (#381)
  • Add PyArrayLike type which extracts PyReadonlyArray if a NumPy array of the correct type is given and attempts a conversion using numpy.asarray otherwise. (#383)

• v0.19.0

  • Add PyUntypedArray as an untyped base type for PyArray which can be used to inspect arguments before more targeted downcasts. This is accompanied by some methods like dtype and shape moving from PyArray to PyUntypedArray. They are still accessible though, as PyArray dereferences to PyUntypedArray via the Deref trait. (#369)
  • Drop deprecated PyArray::from_exact_iter as it does not provide any benefits over PyArray::from_iter. (#370)

• v0.18.0

  • Add conversions from and to datatypes provided by the nalgebra crate. (#347)
  • Drop our wrapper for NumPy iterators which were deprecated in v0.16.0 as ndarray's iteration facilities are almost always preferable. (#324)
  • Dynamic borrow checking now uses a capsule-based API and therefore works across multiple extensions using PyO3 and potentially other bindings or languages. (#361)

• v0.17.2

  • Fix unsound aliasing into Box<[T]> when converting them into NumPy arrays. (#351)

• v0.17.1

  • Fix use-after-free in PyArray::resize, PyArray::reshape and PyArray::reshape_with_order. (#341)
  • Fix UB in ToNpyDims::as_dims_ptr with dimensions of dynamic size (-1). (#344)

• v0.17.0

  • Add dynamic borrow checking to safely construct references into the interior of NumPy arrays. (#274)
    • The deprecated iterator builders NpySingleIterBuilder::{readonly,readwrite} and NpyMultiIterBuilder::add_{readonly,readwrite} now take referencces to PyReadonlyArray and PyReadwriteArray instead of consuming them.
    • The destructive PyArray::resize method is now unsafe if used without an instance of PyReadwriteArray. (#302)
  • Add support for datetime64 and timedelta64 element types via the datetime module. (#308)
  • Add support for IEEE 754-2008 16-bit floating point numbers via an optional dependency on the half crate. (#314)
  • The inner, dot and einsum functions can also return a scalar instead of a zero-dimensional array to match NumPy's types (#285)
  • The PyArray::resize function supports n-dimensional contiguous arrays. (#312)
  • Deprecate PyArray::from_exact_iter after optimizing PyArray::from_iter. (#292)

... (truncated)

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[dependabot]

Looks like numpy is up-to-date now, so this is no longer needed.