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build(deps): bump the lib-dependencies group with 9 updates #459

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Updates the requirements on holoviews, hvplot, matplotlib, panel, optuna, xarray, pandas, scikit-learn and rerun-sdk to permit the latest version.
Updates holoviews to 1.20.0

Release notes

Sourced from holoviews's releases.

Version 1.20.0

This release focuses on performance improvement, enhancing streaming support, and refining popup functionality, along with several bug fixes. Many thanks to the new contributors @​grapesmoker, @​arafune, and @​LecrisUT, as well as the returning contributors @​ahuang11, @​droumis, @​jbednar, @​maximlt, @​philippjfr, and @​hoxbro.

Enhancements

  • De-parameterize the options Keywords objects (#6314)
  • Freeze models while updating plot(s) (#6315)
  • Support hit-tested group-wise wheel zoom renderers for subcoordinate_y (#6277)
  • Adds Bokeh 3.5 enhancements to RangeToolLink (#6341)
  • Add MultiAxisTap stream (#6374)
  • Add sublabel_index and sublabel_skip option for matplotlib backend (#6375)
  • Handle datetimes and empty selections better for inspect operations (#6377)
  • Improve following behavior when streaming (#6318)
  • Enh: Add Scalebar support for subcoordinate_y plots (#6403, #6420)
  • Support async callbacks for popup (#6390)
  • Add popup position and anchor (#6414)

Bug fixes

  • Wrap popup in set_curdoc (#6337)
  • Fixes popup being invisible forever after closing once (#6347)
  • Disable simple id in notebook (#6367)
  • Ensure pixel_ratio is applied when computing resampling coordinates (#6373)
  • Add support for rendering HLine, VLine and Span on multi_y (#6376)
  • Drop the z dimension from ImageStack DataArray before shading (#6378)
  • Improve datetime support for continuous hv.Bars (#6365)
  • Don't clone Span in HoverTool (#6387)
  • Ensure proper cleanup of stream subscribers (#6389)
  • Handle datetime selection in the cuDF interface (#6407)
  • Fix popup positioning on polygons (#6411)
  • Fix a problem where linked selections were resulting in repeated columns (#6336)
  • Ensure streams are correctly mapped to plots (#6415)
  • Fix Bars width for small discrete differences on the x-axis (#6428)
  • Documentation fixes (#6392, #6421)
  • Fix rasterizing a Path where categorical values include empty strings (#6429)

Compatibility

  • Handle DeprecationWarning from Pandas (#6346, #6391)
  • Compatibility with Ibis 9.5 (#6371), Python 3.13 (#6383), cuDF 24.10 (#6409), and Matplotlib 3.10 (#6431)
Changelog

Sourced from holoviews's changelog.

Version 1.20.0

November 4, 2024

This release focuses on performance improvement, enhancing streaming support, and refining popup functionality, along with several bug fixes. Many thanks to the new contributors @​grapesmoker, @​arafune, and @​LecrisUT, as well as the returning contributors @​ahuang11, @​droumis, @​jbednar, @​maximlt, @​philippjfr, and @​hoxbro.

Enhancements

  • De-parameterize the options Keywords objects (#6314)
  • Freeze models while updating plot(s) (#6315)
  • Support hit-tested group-wise wheel zoom renderers for subcoordinate_y (#6277)
  • Adds Bokeh 3.5 enhancements to RangeToolLink (#6341)
  • Add MultiAxisTap stream (#6374)
  • Add sublabel_index and sublabel_skip option for matplotlib backend (#6375)
  • Handle datetimes and empty selections better for inspect operations (#6377)
  • Improve following behavior when streaming (#6318)
  • Enh: Add Scalebar support for subcoordinate_y plots (#6403, #6420)
  • Support async callbacks for popup (#6390)
  • Add popup position and anchor (#6414)

Bug fixes

  • Wrap popup in set_curdoc (#6337)
  • Fixes popup being invisible forever after closing once (#6347)
  • Disable simple id in notebook (#6367)
  • Ensure pixel_ratio is applied when computing resampling coordinates (#6373)
  • Add support for rendering HLine, VLine and Span on multi_y (#6376)
  • Drop the z dimension from ImageStack DataArray before shading (#6378)
  • Improve datetime support for continuous hv.Bars (#6365)
  • Don't clone Span in HoverTool (#6387)
  • Ensure proper cleanup of stream subscribers (#6389)
  • Handle datetime selection in the cuDF interface (#6407)
  • Fix popup positioning on polygons (#6411)
  • Fix a problem where linked selections were resulting in repeated columns (#6336)
  • Ensure streams are correctly mapped to plots (#6415)
  • Fix Bars width for small discrete differences on the x-axis (#6428)
  • Documentation fixes (#6392, #6421)
  • Fix rasterizing a Path where categorical values include empty strings (#6429)

Compatibility

  • Handle DeprecationWarning from Pandas (#6346, #6391)
  • Compatibility with Ibis 9.5 (#6371), Python 3.13 (#6383), cuDF 24.10 (#6409), and Matplotlib 3.10 (#6431)

Version 1.19

Version 1.19.1

July 4, 2024

... (truncated)

Commits

Updates hvplot to 0.11.1

Release notes

Sourced from hvplot's releases.

Version 0.11.1

The 0.11.1 release is a patch release that brings a few bugfixes and documentation improvements. In particular it fixes a regression introduced in version 0.11.0 leading to an error when a plot is created from a Dask object with tiles=True. Many thanks to @​Palmr (first contribution!), @​ahuang11, @​Hoxbro, @​maximlt, and @​philippjfr for their contributions!

Bug Fixes:

  • Fix regression when tiles=True with Dask (#1432)
  • Fix hover tooltips for NetworkX plots (#1439)

Documentation:

  • Add nb_interactivity_warning extension (#1444)
  • Document Ruff’s allowed-unused-imports (#1436)
  • Update image links in README (#1433)
  • Minor fixes (#1434)

Tests:

  • Mark test_explorer_geo_revise_kind with geo marker (#1426)

Full Changelog

Changelog

Sourced from hvplot's changelog.

Version 0.11.1 (2024-10-16)

The 0.11.1 release is a patch release that brings a few bugfixes and documentation improvements. In particular it fixes a regression introduced in version 0.11.0 leading to an error when a plot is created from a Dask object with tiles=True. Many thanks to @​Palmr (first contribution!), @​ahuang11, @​Hoxbro, @​maximlt, and @​philippjfr for their contributions!

Bug Fixes:

  • Fix regression when tiles=True with Dask (#1432)
  • Fix hover tooltips for NetworkX plots (#1439)

Documentation:

  • Add nb_interactivity_warning extension (#1444)
  • Document Ruff's allowed-unused-imports (#1436)
  • Update image links in README (#1433)
  • Minor fixes (#1434)

Tests:

  • Mark test_explorer_geo_revise_kind with geo marker (#1426)

Full Changelog

Version 0.11.0 (2024-09-27)

This minor release brings a number of enhancements and bugfixes, checkout the release blog post for a visual summary of the most important changes.

  • 🦆 New integration: DuckDB!
  • 🗺️ Automatic latitude/longitude conversion when displaying a tile map
  • 💹 Support for displaying subcoordinate y-axis
  • 🏄 New hover options: hover_tooltips and hover_formatters
  • 🐼 Optimized Pandas index support
  • 🐛 Fixing "No output in jupyter"
  • ➕ Update of the minimum version of the dependencies

Many thanks to @​Azaya89, @​liufeimath and @​philipc2 for their first contributions, to @​iuryt for contributing again, and to the maintainers @​ahuang11, @​hoxbro, @​maximlt and @​philippjfr!

Enhancements:

  • Add DuckDB integration (#1398)
  • Add pixel_ratio keyword, useful when datashade/rasterize=True (#1411)
  • Automatically convert lonlat to xy when tiles=True (#1377)
  • Add hover_tooltips and hover_formatters keywords, and better document hover (#1385, #1415)
  • Add subcoordinate_y keyword (#1379)
  • Optimize handling of wide datasets and Pandas indexes (#1350)
  • Add cticks keyword (#1368)
  • Optimize the geographic part of the explorer (#1353)
  • Support using by with hvplot.labels() to color the text (#1347)

Bug Fixes:

... (truncated)

Commits

Updates matplotlib to 3.9.3

Release notes

Sourced from matplotlib's releases.

REL: 3.9.3

This is the third bugfix release of the 3.9.x series.

This release contains several bug-fixes and adjustments:

  • Fix axline with extremely small slopes
  • Fix axline with non-linear axis scales
  • Fix minimumSizeHint with Qt backend
  • Fix config directory usage when it's behind a symlink
  • Fix draggable legend when blitting is enabled
  • Fix high CPU utilization in the macosx backend
  • Fix multiple hatch edgecolors passed to contourf
  • Improve compatibility with pytest 8.2.0
Commits
  • 3ac0aea REL: 3.9.3
  • 3f7adbd Merge branch 'v3.9.2-doc' into v3.9.x
  • 4ca8d68 DOC: Create release notes for 3.9.3
  • 0cabfe2 Merge pull request #29195 from meeseeksmachine/auto-backport-of-pr-29191-on-v...
  • 562d458 Backport PR #29191: ci: Simplify 3.13t test setup
  • 0586854 Merge pull request #29176 from meeseeksmachine/auto-backport-of-pr-29148-on-v...
  • 84f2ae2 Merge pull request #29178 from meeseeksmachine/auto-backport-of-pr-29163-on-v...
  • dd57772 Backport PR #29163: ci: Remove outdated pkg-config package on macOS
  • c4bfd54 Backport PR #29148: Don't fail on equal-but-differently-named cmaps in qt fig...
  • d71ff49 Backport PR #29153: Bump codecov/codecov-action from 4 to 5 in the actions gr...
  • Additional commits viewable in compare view

Updates panel to 1.5.4

Release notes

Sourced from panel's releases.

Version 1.5.4

This release primarily focuses on improving the ESM components including fixes for serialization of parameter values, improvements for compiling bundles, and building custom layouts. Additionally this release includes the new DatetimeSlider, adds a copy button to codeblocks in Markdown panes, improves responsive sizing for Plotly and starts adding better support for Polars. Many thanks and a warm welcome to our new contributor @​MP-MaximilianLattka as well as our maintainer team, including @​Hoxbro, @​thuydotm, @​ahuang11, @​MarcSkovMadsen and @​philippjfr.

Enhancements

  • Add DatetimeSlider widget (#7374)
  • Improve Jupyter preview error handling (#7434)
  • Add copy button to Markdown codeblocks (#7451)
  • Various improvements for writing ESM components (#7462)
  • Log authorization callback errors (#7463)
  • Support polars in pn.cache (#7472)
  • Improve and document hold utility (#7474)
  • Improve how panel compile collects bundles (#7477)

Bug fixes

  • Fix issues detecting changed property values during serialization (#7432)
  • Ensure ESM compilation correctly detects file extension (#7446)
  • Ensure parameter overrides are applied to ESM components (#7452)
  • Ensure component Children parameter correctly resolves when multiple types are defined (#7454)
  • Fix issues using Jupyter Preview with notifications enabled (#7466)
  • Ensure HTML/Markdown streaming does not freeze during rapid updates (#7480)
  • Ensure Plotly sizes correctly on initial render (#7483)
Changelog

Sourced from panel's changelog.

Version 1.5.4

This release primarily focuses on improving the ESM components including fixes for serialization of parameter values, improvements for compiling bundles, and building custom layouts. Additionally this release includes the new DatetimeSlider, adds a copy button to codeblocks in Markdown panes, improves responsive sizing for Plotly and starts adding better support for Polars. Many thanks and a warm welcome to our new contributor @​MP-MaximilianLattka as well as our maintainer team, including @​Hoxbro, @​thuydotm, @​ahuang11, @​MarcSkovMadsen and @​philippjfr.

Enhancements

  • Add DatetimeSlider widget (#7374)
  • Improve Jupyter preview error handling (#7434)
  • Add copy button to Markdown codeblocks (#7451)
  • Various improvements for writing ESM components (#7462)
  • Log authorization callback errors (#7463)
  • Support polars in pn.cache (#7472)
  • Improve and document hold utility (#7474)
  • Improve how panel compile collects bundles (#7477)

Bug fixes

  • Fix issues detecting changed property values during serialization (#7432)
  • Ensure ESM compilation correctly detects file extension (#7446)
  • Ensure parameter overrides are applied to ESM components (#7452)
  • Ensure component Children parameter correctly resolves when multiple types are defined (#7454)
  • Fix issues using Jupyter Preview with notifications enabled (#7466)
  • Ensure HTML/Markdown streaming does not freeze during rapid updates (#7480)
  • Ensure Plotly sizes correctly on initial render (#7483)

Version 1.5.3

This release fixes a number of smaller regressions related to Tabulator row_content, ensures --dev/--autoreload picks up on external modules correctly and resolves OAuth guest endpoints correctly. Additionally it introduces some enhancements and bug fixes for custom components, such as adding support for loading custom components ESM Javascript bundles from the inbuilt endpoint ensuring that the bundle can be cached by the browser. Many thanks and welcome to our new contributors @​chryshumble and @​haojungc, our returning contributors @​TheoMathurin, @​aktech and @​Coderambling and the core maintainer team @​Hoxbro, @​ahuang11, @​MarcSkovMadsen and @​philippjfr for their contributions to this release.

Enhancements

  • Sync dark mode on browser_info object (#7382)
  • Allow loading custom component ESM bundles from URL (#7410, #7412)

Bug fixes

  • Address issues with Tabulator embed_content and optimize row expansion (#7364)
  • Prevent pipeline network plot from linking with other plots (#7372)
  • Various fixes for custom component compilation (#7381)
  • Fix OAuth guest endpoint (#7385)
  • Fix ReactiveESM._importmap typing (#7392)
  • Ensure that autoreload records modules to watch before startup (#7399)
  • Prevent Tabulator from overlapping when max_height is set (#7403)
  • Do not mutate layout Children inplace (#7417)
  • Set Tabulator null formatter to empty string (#7421)
  • Ensure Tabulator table content does not overflow (#7425)
  • Ensure cache handles hashing of classes and instances correctly (#7478)

Compatibility

... (truncated)

Commits

Updates optuna to 4.1.0

Release notes

Sourced from optuna's releases.

v4.1.0

This is the release note of v4.1.0. Highlights of this release include:

  • 🤖 AutoSampler: Automatic Selection of Optimization Algorithms
  • 🚀 More scalable RDB Storage Backend
  • 🧑‍💻 Five New Algorithms in OptunaHub (MO-CMA-ES, MOEA/D, etc.)
  • 🐍 Support Python 3.13

The updated list of tested and supported Python releases is as follows:

Highlights

AutoSampler: Automatic Selection of Optimization Algorithms

AutoSampler automatically selects a sampler from those implemented in Optuna, depending on the situation. Using AutoSampler, as in the code example below, users can achieve optimization performance equal to or better than Optuna's default without being aware of which optimization algorithm to use.

$ pip install optunahub cmaes torch scipy

import optuna
import optunahub
auto_sampler_module = optunahub.load_module("samplers/auto_sampler")
study = optuna.create_study(sampler=auto_sampler_module.AutoSampler())

See the Medium blog post for details.

Enhanced RDB Storage Backend

This release incorporates comprehensive performance tuning on Optuna’s RDBStorage, leading to significant performance improvements. The table below shows the comparison results of execution times between versions 4.0 and 4.1.

# trials v4.0.0 v4.1.0 Diff
1000 72.461 sec (±1.026) 59.706 sec (±1.216) -17.60%
10000 1153.690 sec (±91.311) 664.830 sec (±9.951) -42.37%
50000 12118.413 sec (±254.870) 4435.961 sec (±190.582) -63.39%

For fair comparison, all experiments were repeated 10 times, and the mean execution time was compared. Additional detailed benchmark settings include the following:

  • Objective Function: Each trial consists of 10 parameters and 10 user attributes
  • Storage: MySQL 8.0 (with PyMySQL)
  • Sampler: RandomSampler
  • Execution Environment: Kubernetes Pod with 5 cpus and 8Gi RAM

... (truncated)

Commits
  • f8e1e6d Merge pull request #5751 from c-bata/bump-up-to-v4.1.0
  • 604d45e Bump the version up to v4.1.0
  • d9327ca Merge pull request #5741 from porink0424/fix/introduce-upsert-in-set_trial_sy...
  • 2af7c61 Resolve a small linting problem
  • d834afb Merge pull request #5745 from y0z/feature/update-docs
  • d44be32 Merge pull request #5744 from nzw0301/update-actions/upload-artifact
  • 5d678de Merge upstream
  • 4689713 Add link to the autosampler article
  • 8b648e9 Update docs/source/reference/samplers/index.rst
  • 3eadc92 Add information about AutoSampler to the docs.
  • Additional commits viewable in compare view

Updates xarray to 2024.11.0

Release notes

Sourced from xarray's releases.

v2024.11.0

What's Changed

... (truncated)

Changelog

Sourced from xarray's changelog.

How to issue an xarray release in 16 easy steps

Time required: about an hour.

These instructions assume that upstream refers to the main repository:

$ git remote -v
{...}
upstream        https://github.com/pydata/xarray (fetch)
upstream        https://github.com/pydata/xarray (push)

  1. Ensure your main branch is synced to upstream:

    git switch main
git pull upstream main

  2. Add a list of contributors. First fetch all previous release tags so we can see the version number of the last release was:

    git fetch upstream --tags

    Then run

    python ci/release_contributors.py

    (needs gitpython and toolz / cytoolz)

    and copy the output.

  3. Write a release summary: ~50 words describing the high level features. This will be used in the release emails, tweets, GitHub release notes, etc.

  4. Look over whats-new.rst and the docs. Make sure "What's New" is complete (check the date!) and add the release summary at the top. Things to watch out for:

    • Important new features should be highlighted towards the top.
    • Function/method references should include links to the API docs.
    • Sometimes notes get added in the wrong section of whats-new, typically due to a bad merge. Check for these before a release by using git diff, e.g., git diff v{YYYY.MM.X-1} whats-new.rst where {YYYY.MM.X-1} is the previous release.

  5. Open a PR with the release summary and whatsnew changes; in particular the release headline should get feedback from the team on what's important to include.

... (truncated)

Commits

Updates pandas to 2.2.3

Release notes

Sourced from pandas's releases.

Pandas 2.2.3

We are pleased to announce the release of pandas 2.2.3. This release includes some new features, bug fixes, and performance improvements. We recommend that all users upgrade to this version.

See the full whatsnew for a list of all the changes. Pandas 2.2.3 supports Python 3.9 and higher.

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.

Thanks to all the contributors who made this release possible.

Commits

Updates scikit-learn to 1.5.2

Release notes

Sourced from scikit-learn's releases.

Scikit-learn 1.5.2

We're happy to announce the 1.5.2 release.

This release contains fixes for a few regressions introduced in 1.5.

You can see the changelog here: https://scikit-learn.o...

Description has been truncated

Summary by Sourcery

Build:

  • Update dependencies for holoviews, hvplot, matplotlib, panel, optuna, xarray, pandas, scikit-learn, and rerun-sdk to their latest versions.

@dependabot
build(deps): bump the lib-dependencies group with 9 updates
5680dc2 
Updates the requirements on [holoviews](https://github.com/holoviz/holoviews), [hvplot](https://github.com/holoviz/hvplot), [matplotlib](https://github.com/matplotlib/matplotlib), [panel](https://github.com/holoviz/panel), [optuna](https://github.com/optuna/optuna), [xarray](https://github.com/pydata/xarray), [pandas](https://github.com/pandas-dev/pandas), [scikit-learn](https://github.com/scikit-learn/scikit-learn) and [rerun-sdk](https://github.com/rerun-io/rerun) to permit the latest version.

Updates `holoviews` to 1.20.0
- [Release notes](https://github.com/holoviz/holoviews/releases)
- [Changelog](https://github.com/holoviz/holoviews/blob/main/doc/releases.md)
- [Commits](holoviz/holoviews@v1.15.0...v1.20.0)

Updates `hvplot` to 0.11.1
- [Release notes](https://github.com/holoviz/hvplot/releases)
- [Changelog](https://github.com/holoviz/hvplot/blob/main/doc/releases.md)
- [Commits](holoviz/hvplot@v0.8.0...v0.11.1)

Updates `matplotlib` to 3.9.3
- [Release notes](https://github.com/matplotlib/matplotlib/releases)
- [Commits](matplotlib/matplotlib@v3.6.3...v3.9.3)

Updates `panel` to 1.5.4
- [Release notes](https://github.com/holoviz/panel/releases)
- [Changelog](https://github.com/holoviz/panel/blob/main/CHANGELOG.md)
- [Commits](holoviz/panel@v1.3.6...v1.5.4)

Updates `optuna` to 4.1.0
- [Release notes](https://github.com/optuna/optuna/releases)
- [Commits](optuna/optuna@v3.2.0...v4.1.0)

Updates `xarray` to 2024.11.0
- [Release notes](https://github.com/pydata/xarray/releases)
- [Changelog](https://github.com/pydata/xarray/blob/main/HOW_TO_RELEASE.md)
- [Commits](pydata/xarray@v2023.07.0...v2024.11.0)

Updates `pandas` to 2.2.3
- [Release notes](https://github.com/pandas-dev/pandas/releases)
- [Commits](pandas-dev/pandas@v2.0.0...v2.2.3)

Updates `scikit-learn` to 1.5.2
- [Release notes](https://github.com/scikit-learn/scikit-learn/releases)
- [Commits](scikit-learn/scikit-learn@1.2.0...1.5.2)

Updates `rerun-sdk` from 0.20.1 to 0.20.2
- [Release notes](https://github.com/rerun-io/rerun/releases)
- [Changelog](https://github.com/rerun-io/rerun/blob/main/CHANGELOG.md)
- [Commits](rerun-io/rerun@0.20.1...0.20.2)

---
updated-dependencies:
- dependency-name: holoviews
  dependency-type: direct:production
  dependency-group: lib-dependencies
- dependency-name: hvplot
  dependency-type: direct:production
  dependency-group: lib-dependencies
- dependency-name: matplotlib
  dependency-type: direct:production
  dependency-group: lib-dependencies
- dependency-name: panel
  dependency-type: direct:production
  dependency-group: lib-dependencies
- dependency-name: optuna
  dependency-type: direct:production
  dependency-group: lib-dependencies
- dependency-name: xarray
  dependency-type: direct:production
  dependency-group: lib-dependencies
- dependency-name: pandas
  dependency-type: direct:production
  dependency-group: lib-dependencies
- dependency-name: scikit-learn
  dependency-type: direct:production
  dependency-group: lib-dependencies
- dependency-name: rerun-sdk
  dependency-type: direct:production
  update-type: version-update:semver-patch
  dependency-group: lib-dependencies
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot requested a review from blooop as a code owner December 1, 2024 11:13
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Dec 1, 2024
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sourcery-ai bot commented Dec 1, 2024 •
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Reviewer's Guide by Sourcery

This pull request updates multiple library dependencies to their latest compatible versions. The changes are focused on version bumps for visualization, data processing, and machine learning libraries while maintaining Python compatibility between 3.10 and 3.13.

No diagrams generated as the changes look simple and do not need a visual representation.

File-Level Changes

Change Details Files
Update visualization libraries to latest versions
  • Bump holoviews from 1.19.1 to 1.20.0 with performance improvements and streaming support enhancements
  • Upgrade hvplot from 0.10.0 to 0.11.1 with bug fixes and DuckDB integration
  • Update matplotlib from 3.9.2 to 3.9.3 with bug fixes for axline and Qt backend
  • Upgrade panel from 1.4.5 to 1.5.4 with ESM component improvements and new DatetimeSlider widget
 pyproject.toml
Update data processing and machine learning libraries
  • Bump optuna from 4.0.0 to 4.1.0 adding AutoSampler and enhanced RDB storage backend
  • Update xarray from 2024.7.0 to 2024.11.0 with improvements to DataTree and groupby operations
  • Upgrade pandas from 2.2.2 to 2.2.3 with bug fixes and performance improvements
  • Update scikit-learn from 1.5.1 to 1.5.2 fixing regressions from 1.5
 pyproject.toml
Update SDK dependencies
  • Bump rerun-sdk from 0.20.1 to 0.20.2
 pyproject.toml
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sourcery-ai bot reviewed Dec 1, 2024
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We have skipped reviewing this pull request. Here's why:

  • It seems to have been created by a bot (hey, dependabot[bot]!). We assume it knows what it's doing!
  • We don't review packaging changes - Let us know if you'd like us to change this.

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dependabot bot commented on behalf of github Dec 5, 2024

Looks like these dependencies are updatable in another way, so this is no longer needed.

@dependabot dependabot bot closed this Dec 5, 2024
@dependabot dependabot bot deleted the dependabot/pip/lib-dependencies-3a20455b00 branch December 5, 2024 17:58
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@blooop blooop Awaiting requested review from blooop blooop is a code owner

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