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Bump contourpy from 1.2.1 to 1.3.0 #288

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@dependabot dependabot bot commented on behalf of github Aug 28, 2024

Bumps contourpy from 1.2.1 to 1.3.0.

Release notes

Sourced from contourpy's releases.

Version 1.3.0

ContourPy 1.3.0 adds new ContourGenerator functions multi_lines and multi_filled to calculate contour lines and filled contours over a sequence of levels in a single function call. There are also new functions to render, convert and dechunk the returns from multi_lines and multi_filled.

This release adds support for Python 3.13, including free-threaded. The latter should be considered experimental.

The use of np.nan as the lower_level or upper_level of ContourGenerator.filled() is no longer permitted.

Windows wheels uploaded to PyPI now bundle the C++ runtime statically to avoid problems with up and downstream libraries causing the use of incorrect DLLs.

This release supports CPython 3.9 to 3.13, and PyPy 3.9 to 3.10.

Thanks to new contributor @​lysnikolaou and core maintainer @​ianthomas23.

Enhancements:

  • multi_lines and multi_filled:

    • ContourGenerator.multi_lines and multi_filled (#338, #340, #342, #343)
    • Renderer.multi_lines and multi_filled (#341)
    • convert_multi_lines and convert_multi_filled (#348)
    • dechunk_multi_lines and dechunk_multi_filled (#345)
  • Prevent use of np.nanas lower or upper level in filled (#339)

Compatibility:

Code improvements:

  • Support improved typing in NumPy 2.1.0 (#422)

Documentation improvements:

  • Simpler sphinx cross-references (#361)
  • Add more doc cross-references to explain returned data formats (#366)
  • Remove download numbers for conda packages (#428)
  • Documentation for multi_lines and multi_filled (#390, #431)
  • Document possibility of duplicate contour points (#432)

Build, testing and CI improvements:

  • Add pytest option to log image differences to CSV file (#335)
  • Label flaky test (#385)
  • MSVC linking and std::mutex compiler flag (#391, #395, #414, #419, #427)
  • Add minimal test script (#399)
  • Bump minimum supported NumPy to 1.23 (#403)
  • Build and publish nightly wheels (#413, #425)
  • Bump default python version in CI to 3.12 (#430)
Changelog

Sourced from contourpy's changelog.

v1.3.0 (2024-08-27)

ContourPy 1.3.0 adds new ContourGenerator functions multi_lines and multi_filled to calculate contour lines and filled contours over a sequence of levels in a single function call. There are also new functions to render, convert and dechunk the returns from multi_lines and multi_filled.

This release adds support for Python 3.13, including free-threaded. The latter should be considered experimental.

The use of np.nan as the lower_level or upper_level of ContourGenerator.filled() is no longer permitted.

Windows wheels uploaded to PyPI now bundle the C++ runtime statically to avoid problems with up and downstream libraries causing the use of incorrect DLLs.

This release supports CPython 3.9 to 3.13, and PyPy 3.9 to 3.10.

Thanks to new contributor :user:lysnikolaou and core maintainer :user:ianthomas23.

Enhancements:

  • multi_lines and multi_filled:

    • ContourGenerator.multi_lines and multi_filled (:pr:338, :pr:340, :pr:342, :pr:343)
    • Renderer.multi_lines and multi_filled (:pr:341)
    • convert_multi_lines and convert_multi_filled (:pr:348)
    • dechunk_multi_lines and dechunk_multi_filled (:pr:345)
  • Prevent use of np.nan as lower or upper level in filled (:pr:339)

Compatibility:

  • Support CPython 3.13 including free-threaded (:pr:382, :pr:384, :pr:388, :pr:408, :pr:410, :pr:411, :pr:412, :pr:423)
  • Support PyPy 3.10 (:pr:404)

Code improvements:

  • Support improved typing in NumPy 2.1.0 (:pr:422)

Documentation improvements:

  • Simpler sphinx cross-references (:pr:361)
  • Add more doc cross-references to explain returned data formats (:pr:366)
  • Remove download numbers for conda packages (:pr:428)
  • Documentation for multi_lines and multi_filled (:pr:390, :pr:431)
  • Document possibility of duplicate contour points (:pr:432)

Build, testing and CI improvements:

... (truncated)

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Bumps [contourpy](https://github.com/contourpy/contourpy) from 1.2.1 to 1.3.0.
- [Release notes](https://github.com/contourpy/contourpy/releases)
- [Changelog](https://github.com/contourpy/contourpy/blob/main/docs/changelog.rst)
- [Commits](contourpy/contourpy@v1.2.1...v1.3.0)

---
updated-dependencies:
- dependency-name: contourpy
  dependency-type: direct:development
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added the dependencies Pull requests that update a dependency file label Aug 28, 2024
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🦙 MegaLinter status: ✅ SUCCESS

Descriptor Linter Files Fixed Errors Elapsed time
✅ ACTION actionlint 4 0 0.24s
✅ COPYPASTE jscpd yes no 10.35s
✅ JSON prettier 2 0 0 0.43s
✅ JSON v8r 2 0 3.27s
✅ MARKDOWN markdownlint 1 0 0 0.37s
✅ MARKDOWN markdown-link-check 1 0 1.16s
✅ MARKDOWN markdown-table-formatter 1 0 0 0.27s
✅ PYTHON bandit 231 0 6.02s
✅ PYTHON black 231 0 0 4.96s
✅ PYTHON flake8 231 0 3.7s
✅ PYTHON isort 231 0 0 0.75s
✅ PYTHON mypy 231 0 6.66s
✅ PYTHON pylint 231 0 57.82s
✅ PYTHON ruff 231 0 0 0.07s
✅ REPOSITORY checkov yes no 15.27s
✅ REPOSITORY gitleaks yes no 3.23s
✅ REPOSITORY git_diff yes no 0.04s
✅ REPOSITORY grype yes no 18.29s
✅ REPOSITORY secretlint yes no 4.51s
✅ REPOSITORY trivy-sbom yes no 1.37s
✅ REPOSITORY trufflehog yes no 20.55s
✅ YAML prettier 8 0 0 0.7s
✅ YAML v8r 8 0 8.87s
✅ YAML yamllint 8 0 0.55s

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Test Results

    3 files  ±0      3 suites  ±0   57m 16s ⏱️ +31s
  415 tests ±0    415 ✅ ±0    0 💤 ±0  0 ❌ ±0 
1 245 runs  ±0  1 047 ✅ ±0  198 💤 ±0  0 ❌ ±0 

Results for commit 1491398. ± Comparison against base commit 52f2ad2.

@ISAS-Admin ISAS-Admin closed this Aug 28, 2024
@ISAS-Admin ISAS-Admin deleted the dependabot/pip/contourpy-1.3.0 branch August 28, 2024 22:15
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dependabot bot commented on behalf of github Aug 28, 2024

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.

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