Bump numpy from 1.21.6 to 1.22.0 in /hi-ml-cpath

[dependabot[bot]]

Bumps numpy from 1.21.6 to 1.22.0.

Release notes

Sourced from numpy's releases.

v1.22.0

NumPy 1.22.0 Release Notes

NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

• Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.
• A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.
• NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.
• New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.
• A new configurable allocator for use by downstream projects.

These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

Expired deprecations

Deprecated numeric style dtype strings have been removed

Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

(gh-19539)

Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

(gh-19615)

... (truncated)

Commits

• 4adc87d Merge pull request #20685 from charris/prepare-for-1.22.0-release
• fd66547 REL: Prepare for the NumPy 1.22.0 release.
• 125304b wip
• c283859 Merge pull request #20682 from charris/backport-20416
• 5399c03 Merge pull request #20681 from charris/backport-20954
• f9c45f8 Merge pull request #20680 from charris/backport-20663
• 794b36f Update armccompiler.py
• d93b14e Update test_public_api.py
• 7662c07 Update init.py
• 311ab52 Update armccompiler.py
• 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.

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[codecov[bot]]

Codecov Report

Merging #526 (a9ba49b) into main (0d66cec) will not change coverage. The diff coverage is n/a.

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hi-ml-cpath	77.39% <ø> (ø)

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[fepegar]

I wonder why Dependabot is trying to upgrade NumPy. I thought the settings are only for GitHub actions...

[mebristo]

I wonder why Dependabot is trying to upgrade NumPy. I thought the settings are only for GitHub actions...

Dependabot tries to help us keep all dependencies up to date (see here). We could change this in .github/dependabot.yml if we don't want to be alerted of potential updates

[fepegar]

I thought this would make it look only at the GHAs versions:

https://github.com/microsoft/hi-ml/blob/c73103a0755bacdf2f6627e522167c5066f0fc54/.github/dependabot.yml#L6

[javier-alvarez]

I wonder why Dependabot is trying to upgrade NumPy. I thought the settings are only for GitHub actions...

There is a security alert for numpy. There is a string comparison bug in our current version. Check the security tab.

[fepegar]

Our Python version is too old in the failing test:

ERROR: Ignored the following versions that require a different python version: 1.22.0 Requires-Python >=3.8

Any suggestions?

[fepegar]

Related:

• https://github.com/microsoft/hi-ml/pull/484
• https://github.com/microsoft/hi-ml/pull/446

Have we considered moving to Python 3.9 instead of jumping to 3.10 directly?

[ant0nsc]

@fepegar , good point about jumping to 3.9, will get going with that.

[ant0nsc]

Superseded by #589

[dependabot[bot]]

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.