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Bump ansys-dpf-core, pandas and ansys-sphinx-theme #1966

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Bumps ansys-dpf-core, pandas and ansys-sphinx-theme. These dependencies needed to be updated together.
Updates ansys-dpf-core from 0.7.4 to 0.8.0

Release notes

Sourced from ansys-dpf-core's releases.

v0.8.0 Release Notes

pydpf-core 0.8.0 release for DPF Server 2023.2.pre1

The main contribution of this release is the change in licensing logic, which becomes per-operator, with the default ServerContext now Premium to allow licensed operators to check-out licenses. To prevent license check-out and use of licensed operators, the user has to explicitly run the DPF server as Entry. See the online documentation for more information. The operators documentation is also unique again, with licensing information given in each operator description.

What's Changed

Enhancements

Bug fixes

Documentation

CI/CD

Maintenance

New Contributors

Full Changelog: ansys/pydpf-core@v0.7.4...v0.8.0

Commits
  • 1ce9961 Update compatibility table for 6.1 (#878)
  • 2978878 Bump to 0.8.0
  • 7ca748d Bump ansys-dpf-gate from 0.3.0 to 0.3.1 in /requirements (#874)
  • 3ad955d fix retro-compatibility of CI with .pre0 (#876)
  • 163197c Make CI_release callable manually
  • 4cf378c Enable more custom inputs when running CI manually
  • 5f9f897 Doc/corrections to premium as default (#867)
  • 2c000e3 Bump nbsphinx from 0.8.11 to 0.9.1 in /requirements (#843)
  • 6698361 Update links to doc in Readme (#868)
  • a395566 Update unique static operators doc (#871)
  • Additional commits viewable in compare view

Updates pandas from 1.5.3 to 2.0.0

Release notes

Sourced from pandas's releases.

Pandas 2.0.0

We are pleased to announce the release of pandas 2.0.0, a major release from the pandas 1 series. This release includes some new features, bug fixes, and performance improvements, as well as possible breaking changes. It is recommended that users with existing code upgrade to pandas 1.5.3 before they upgrade to pandas 2, and make sure their code does not generate FutureWarning or DeprecationWarning messages.

See the whatsnew for a list of all the changes.

The release will be available on conda-forge and PyPI.

The release can be installed from PyPI

python -m pip install --upgrade pandas==2.0.0

Or from conda-forge

mamba install -c conda-forge pandas==2.0.0

Please report any issues with the release candidate on the pandas issue tracker.

Pandas 2.0.0rc1

We are pleased to announce the second release candidate for pandas 2.0.0. If all goes well, we'll release pandas 2.0.0 in about two weeks.

See the whatsnew for a list of all the changes.

The release will be available on conda-forge and PyPI.

The release can be installed from PyPI

python -m pip install --upgrade --pre pandas==2.0.0rc1

Or from conda-forge

conda install -c conda-forge/label/pandas_rc pandas==2.0.0rc1

Please report any issues with the release candidate on the pandas issue tracker.

Pandas 2.0.0rc0

We are pleased to announce a release candidate for pandas 2.0.0. If all goes well, we'll release pandas 2.0.0 in about two weeks.

See the whatsnew for a list of all the changes.

The release will be available on conda-forge and PyPI.

The release can be installed from PyPI

python -m pip install --upgrade --pre pandas==2.0.0rc0

Or from conda-forge

... (truncated)

Commits
  • 478d340 RLS: 2.0.0
  • f92ac09 Backport PR #52370 on branch 2.0.x (DOC: Update final date for pandas 2.0 rel...
  • 5d69654 Backport PR #52068 on branch 2.0.x (CoW: Switch to copy=False everywhere for ...
  • 9bf45db Backport PR #52330 on branch 2.0.x (ENH: Implement .dt.year for ArrowExtensio...
  • 7c56e05 Backport PR #51966 on branch 2.0.x (CoW: array not recognizing ea dtypes)...
  • af8be1d Backport PR #52311 on branch 2.0.x (DOC: Clarify Timestamp(unit=) will not ne...
  • 39e0505 Backport PR #52354 on branch 2.0.x (Fixed up formatting of docstring of DateO...
  • c922324 Backport PR #52332 on branch 2.0.x (Use date32 for pyarrow date) (#52350)
  • 055c4cd Backport PR #52340 on branch 2.0.x (CI: Bump Circle CI versions) (#52347)
  • 367a5a2 Backport PR #52220 on branch 2.0.x (BUG: zero-pad shorter years in `Timestamp...
  • Additional commits viewable in compare view

Updates ansys-sphinx-theme from 0.9.5 to 0.9.6

Commits

Bumps [ansys-dpf-core](https://github.com/pyansys/pydpf-core), [pandas](https://github.com/pandas-dev/pandas) and [ansys-sphinx-theme](https://github.com/ansys/ansys-sphinx-theme). These dependencies needed to be updated together.

Updates `ansys-dpf-core` from 0.7.4 to 0.8.0
- [Release notes](https://github.com/pyansys/pydpf-core/releases)
- [Commits](ansys/pydpf-core@v0.7.4...v0.8.0)

Updates `pandas` from 1.5.3 to 2.0.0
- [Release notes](https://github.com/pandas-dev/pandas/releases)
- [Changelog](https://github.com/pandas-dev/pandas/blob/main/RELEASE.md)
- [Commits](pandas-dev/pandas@v1.5.3...v2.0.0)

Updates `ansys-sphinx-theme` from 0.9.5 to 0.9.6
- [Release notes](https://github.com/ansys/ansys-sphinx-theme/releases)
- [Commits](ansys/ansys-sphinx-theme@v0.9.5...v0.9.6)
@github-actions github-actions bot added the Maintenance General maintenance of the repo (libraries, cicd, etc) label Apr 4, 2023
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codecov bot commented Apr 4, 2023

Codecov Report

Merging #1966 (027382b) into main (687e761) will decrease coverage by 0.10%.
The diff coverage is 27.27%.

@@            Coverage Diff             @@
##             main    #1966      +/-   ##
==========================================
- Coverage   85.99%   85.90%   -0.10%     
==========================================
  Files          44       44              
  Lines        7877     7909      +32     
==========================================
+ Hits         6774     6794      +20     
- Misses       1103     1115      +12     

@germa89 germa89 merged commit 7bbaf6f into main Apr 4, 2023
29 of 30 checks passed
@germa89 germa89 deleted the dependabot/pip/main/ansys-dpf-core-and-pandas-and-ansys-sphinx-theme-0.8.0 branch April 4, 2023 02:54
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