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Seagate / cortx-prvsnr

CORTX Provisioner offers a framework which accepts configurations (cluster.yaml and config.yaml) in the form of ConfigMap, translates into internal configuration (CORTX Conf Store) and then orchestrates across components mini provisioners to allow them to configure services. In Kubernetes environment, CORTX Provisioner framework runs on all the CORTX PODs (in a separate one time init container).
https://github.com/Seagate/cortx
GNU Affero General Public License v3.0
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Bump numpy from 1.19.5 to 1.22.0 in /jenkins/docker #6387

Closed dependabot[bot] closed 2 years ago

dependabot[bot] commented 2 years ago

Bumps numpy from 1.19.5 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)

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cla-bot[bot] commented 2 years ago

Thanks for your contribution! The CLA bot has flagged your contribution as not having a Contributor License Agreement in place. Note that this is not needed in the overwhelming majority of instances and this warning will usually be ignored. The code reviewers will make a determination and may ask you to sign a CLA or may choose to ignore this warning. More information about this can be found here.

cortx-admin commented 2 years ago

Can one of the admins verify this patch?

stale[bot] commented 2 years ago

This issue/pull request has been marked as needs attention as it has been left pending without new activity for 4 days. Tagging @83bhp @andkononykhin2 for appropriate assignment. Sorry for the delay & Thank you for contributing to CORTX. We will get back to you as soon as possible.

dependabot[bot] commented 2 years 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.

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