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Update CI and packaging to require Python >=3.10 and expand tested versions to 3.10, 3.12, 3.13, and 3.14 in both build-and-test and integration workflows. Adjust pyproject.toml: set requires-python to >=3.10, update classifiers to include 3.13 and 3.14 (remove 3.9), add nlopt>=2.9 to dependencies, and change ruff target-version to py310. These changes modernize supported Python versions and include a new native dependency.
Remove Python 3.14 from the GitHub Actions test matrices and package classifiers. Updated .github/workflows/build-and-test.yml and .github/workflows/integration.yml to remove "3.14" from the python-version matrix, and removed the "Programming Language :: Python :: 3.14" classifier from pyproject.toml to align package metadata with the CI matrix.
Workflow: add a Windows-only step to install VTK from PyPI (pip install vtk) before installing microgen to avoid relying on a conda-provided VTK build on Windows. Recipes: remove strict version pins for scotch in mmg and neper meta.yaml (replace 6.0.* / 6.* with an unpinned scotch) to permit newer/compatible scotch builds and reduce version conflicts during packaging.
Remove the Windows-specific pip install of VTK from the CI workflow and add a vtk >=9.4 dependency to environment.yml. This centralizes VTK installation into the environment configuration so CI no longer needs a platform-specific pip workaround and ensures a consistent VTK version across runners.
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make benefit of the embree (using pyembreeX) library with multi ray tracing embedded in PyVista.
Using : https://github.com/trimesh/embreex seems the best option so far