Update numpy requirement from 0.19 to 0.20

[dependabot]

Updates the requirements on numpy to permit the latest version.

Release notes

Sourced from numpy's releases.

rust-numpy version 0.19.0

This release matches PyO3 version 0.19.0. It introduces PyUntypedArray which allows safe inspection of an array before committing to an element type.

Changelog

Sourced from numpy's changelog.

Changelog

• Unreleased

• 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)
  • Remove DimensionalityError and TypeError from the public API as they never used directly. (#315)
  • Remove the deprecated PyArrayDescr::get_type which was replaced by PyArrayDescr::typeobj in the last cycle. (#308)
  • Fix returning invalid slices from PyArray::{strides,shape} for rank zero arrays. (#303)

• v0.16.2

  • Fix build on platforms where c_char is u8 like Linux/AArch64. (#296)

• v0.16.1

  • Fix build when PyO3's multiple-pymethods feature is used. (#288)

• v0.16.0

  • Bump PyO3 version to 0.16 (#259)
  • Support object arrays (#216)
  • Support borrowing arrays that are part of other Python objects via PyArray::borrow_from_array (#230)
  • Fixed downcasting ignoring element type and dimensionality (#265)

... (truncated)

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