Release 0.3.0

[gomezzz]

Feature

Changelog

Major

• Added support for NumPy, JAX, Tensorflow via autoray for most integrators. Refer to docs for more details.
• Huge performance improvements to VEGAS

Minor

• More tests
• New environment variable called TORCHQUAD_LOG_LEVEL to conveniently control loglevel, default changed to "warning"
• Support for (JIT) compilation of the integration, except VEGAS
• More strict code linting with flake8 and a corresponding small code cleanup
• Docs improvements
• Custom RNG class
• Refactoring of Newton-Cotes integrators

What Needs to Be Done (chronologically)

• Create PR from main -> develop to incorporate hotfixes / documentation changes.
• In case of merge conflicts create PR to fix them which is then merged into main.
• Review the PR
• Create PR to merge from current develop into release branch
• Write Changelog in PR and request review
• Review the PR (if OK - merge, but DO NOT delete the branch)
• Minimize packages in requirements.txt and conda-forge submission. Update packages in setup.py
• Check unit tests -> Check all tests pass and there are tests for all important features (go to cmder, activate TQ, go to tests folder, type "pytest" and run)
• Check documentation -> Check presence of documentation for all features by locally building the docs on the release
• Change version number in setup.py and docs (under conf.py)
• Trigger the Upload Python Package to testpypi GitHub Action (https://github.com/esa/torchquad/actions/workflows/deploy_to_test_pypi.yml) on the release branch (need to be logged in)
• Test the build on testpypi
• Finalize release on the release branch
• Create PR: release → main , develop -> main
• PR Reviews
• Merge release back into main, and develop
• Create Release on GitHub from the last commit (the one reviewed in the PR) reviewed
• Upload to PyPI
• Update on conda following https://conda-forge.org/docs/maintainer/updating_pkgs.html