Closed renovate[bot] closed 11 months ago
renovate[bot]
commented
12 months ago Renovate will not automatically rebase this PR, because it does not recognize the last commit author and assumes somebody else may have edited the PR.
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codecov-commenter
commented
12 months ago Merging #211 (0a1f327) into main (859e75c) will decrease coverage by
6.02%. Report is 2 commits behind head on main. The diff coverage is83.15%.
@@ Coverage Diff @@
## main #211 +/- ##
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- Coverage 98.39% 92.38% -6.02%
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Files 45 37 -8
Lines 1803 2428 +625
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+ Hits 1774 2243 +469
- Misses 29 185 +156 | Flag | Coverage Δ | |
|---|---|---|
| unittests | 92.38% <83.15%> (-6.02%) |
:arrow_down: |
Flags with carried forward coverage won't be shown. Click here to find out more.
| Files Changed | Coverage Δ | |
|---|---|---|
| reciprocalspaceship/dtypes/internals.py | 72.55% <72.55%> (ø) |
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| reciprocalspaceship/dtypes/base.py | 89.47% <88.23%> (-5.27%) |
:arrow_down: |
| reciprocalspaceship/dtypes/integer.py | 92.26% <92.26%> (ø) |
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| reciprocalspaceship/dtypes/floating.py | 95.23% <95.23%> (ø) |
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| reciprocalspaceship/dataset.py | 98.26% <100.00%> (+<0.01%) |
:arrow_up: |
| reciprocalspaceship/dtypes/__init__.py | 100.00% <100.00%> (ø) |
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JBGreisman
commented
12 months ago This PR includes a refactor of the dtypes used to implement persistent MTZ column types. Previously, we had directly subclassed pd.Int32Dtype and pd.Float32Dtype for each of these column types; however, this was never quite a supported use of these pandas dtypes and the interface was broken by the recent pandas updates.
Here, we implement our own versions of MTZInt32Dtype and MTZFloat32Dtype using the same "masked array" implementation used by pandas. These are then subclassed further to support each of the individual MTZ column types. The base "masked arrays" are largely copied from pandas, with some modifications to support our specific use cases. Although this design choice adds more code to be maintained in rs, I believe this choice should improve the stability of the library to internal changes in pandas.
I think this PR should be used instead of #185. This is a larger change than was needed to address #185, but this update will lead to improved compatibility with more pandas versions (v1.4.0-2.0.3 here; vs. v1.5.0-1.5.3 in #185)
This PR contains the following updates:
>=1.2.0, <=1.4.4->>=1.2.0, <=2.0.3Release Notes
pandas-dev/pandas (pandas)
### [`v2.0.3`](https://togithub.com/pandas-dev/pandas/releases/tag/v2.0.3): Pandas 2.0.3 [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v2.0.2...v2.0.3) This is a patch release in the 2.0.x series and includes some regression and bug fixes. We recommend that all users upgrade to this version. See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/2.0.3/whatsnew/v2.0.3.html) for a list of all the changes. The release will be available on the defaults and conda-forge channels: conda install pandas Or via PyPI: python3 -m pip install --upgrade pandas Please report any issues with the release on the [pandas issue tracker](https://togithub.com/pandas-dev/pandas/issues). Thanks to all the contributors who made this release possible. ### [`v2.0.2`](https://togithub.com/pandas-dev/pandas/releases/tag/v2.0.2): Pandas 2.0.2 [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v2.0.1...v2.0.2) This is a patch release in the 2.0.x series and includes some regression and bug fixes. We recommend that all users upgrade to this version. See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/2.0.2/whatsnew/v2.0.2.html) for a list of all the changes. The release will be available on the defaults and conda-forge channels: conda install pandas Or via PyPI: python3 -m pip install --upgrade pandas Please report any issues with the release on the [pandas issue tracker](https://togithub.com/pandas-dev/pandas/issues). Thanks to all the contributors who made this release possible. ### [`v2.0.1`](https://togithub.com/pandas-dev/pandas/releases/tag/v2.0.1): Pandas 2.0.1 [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v2.0.0...v2.0.1) This is a patch release in the 2.0.x series and includes some regression and bug fixes. We recommend that all users upgrade to this version. See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/2.0.1/whatsnew/v2.0.1.html) for a list of all the changes. The release will be available on the defaults and conda-forge channels: conda install pandas Or via PyPI: python3 -m pip install --upgrade pandas Please report any issues with the release on the [pandas issue tracker](https://togithub.com/pandas-dev/pandas/issues). Thanks to all the contributors who made this release possible. ### [`v2.0.0`](https://togithub.com/pandas-dev/pandas/releases/tag/v2.0.0): Pandas 2.0.0 [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v1.5.3...v2.0.0) 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][0] 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](https://togithub.com/pandas-dev/pandas/issues/new/choose). [0]: https://pandas.pydata.org/pandas-docs/version/2.0/whatsnew/v2.0.0.html ### [`v1.5.3`](https://togithub.com/pandas-dev/pandas/releases/tag/v1.5.3): Pandas 1.5.3 [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v1.5.2...v1.5.3) This is a patch release in the 1.5.x series and includes some regression and bug fixes. We recommend that all users upgrade to this version. See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/1.5.3/whatsnew/v1.5.3.html) for a list of all the changes. The release will be available on the defaults and conda-forge channels: conda install pandas Or via PyPI: python3 -m pip install --upgrade pandas Please report any issues with the release on the [pandas issue tracker](https://togithub.com/pandas-dev/pandas/issues). Thanks to all the contributors who made this release possible. ### [`v1.5.2`](https://togithub.com/pandas-dev/pandas/releases/tag/v1.5.2): Pandas 1.5.2 [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v1.5.1...v1.5.2) This is a patch release in the 1.5.x series and includes some regression and bug fixes. We recommend that all users upgrade to this version. See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/1.5.2/whatsnew/v1.5.2.html) for a list of all the changes. The release will be available on the defaults and conda-forge channels: conda install pandas Or via PyPI: python3 -m pip install --upgrade pandas Please report any issues with the release on the [pandas issue tracker](https://togithub.com/pandas-dev/pandas/issues). Thanks to all the contributors who made this release possible. ### [`v1.5.1`](https://togithub.com/pandas-dev/pandas/releases/tag/v1.5.1): Pandas 1.5.1 [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v1.5.0...v1.5.1) This is a patch release in the 1.5.x series and includes some regression and bug fixes. We recommend that all users upgrade to this version. See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/1.5.1/whatsnew/v1.5.1.html) for a list of all the changes. The release will be available on the defaults and conda-forge channels: conda install pandas Or via PyPI: python3 -m pip install --upgrade pandas Please report any issues with the release on the [pandas issue tracker](https://togithub.com/pandas-dev/pandas/issues). Thanks to all the contributors who made this release possible. ### [`v1.5.0`](https://togithub.com/pandas-dev/pandas/releases/tag/v1.5.0): Pandas 1.5.0 [Compare Source](https://togithub.com/pandas-dev/pandas/compare/v1.4.4...v1.5.0) This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version. See the [full whatsnew](https://pandas.pydata.org/pandas-docs/version/1.5.0/whatsnew/v1.5.0.html) for a list of all the changes. pandas 1.5.0 supports Python 3.8 and higher. The release will be available on the defaults and conda-forge channels: `conda install -c conda-forge pandas` Or via PyPI: `python3 -m pip install --upgrade pandas` Please report any issues with the release on the [pandas issue tracker](https://togithub.com/pandas-dev/pandas/issues).Configuration
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