Initial Development MR #1
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Add dependencies Update dependencies Add pyaml as dependency Add loguru and rich Update .gitignore Add default configurations Add template files Commit semi-finished `new` command(s) Commit semi-finished `install` command(s) Remove dependency on poetry Classes for 'providers' WIP implementation of install Restructure files Rename methods, use with env .venv by default Add install poetry step Flesh out class Multiple changes - implement logging - code cleanup - skip steps if not needed - improve spack python package parsing - add docstrings - fix spack multiprocessing issues Add global verbosity levels Update to new loggers squash with global loggers Formatting changes Move installer class, rename pkg to pyvarium Rename to pyvarium Rename package directory Rename variables Delete templated tests until I come up with good ones Tidy up code Update dependencies Fix error Restructure installers Add tests Add docstrings, clarify var/func names Add fastroce dep Cast paths to Path Use delegates for kwargs, use same var names Update deps for tests, add more coverage Add test image build workflow Add test image build workflow Implement test workflow using test image Update deps Add runs on Set up CI tests Explicitly use bash shell for run Split up step Prepare for integration tests Update test image Spit unit and integration tests Add compiler find call Fix typos Explicitly install gcc Print off compilers list Don't clear env vars by default Try unified codecov upload Adjust artifact paths Try codecov files with quotes Add poetry test Update lockfile Set environ to none, set executable to bash Add version flag, adjust temp paths md instead of rst readme Update deps, add pytest opts Restructure deps Tidy up Update to work with new installers Split unit and integration tests Add nox file Use tomlkit and poetry pyproject classes Add pyvarium tests Add test image build workflow Update lockfile Rename integration test venv for act compat Make cmd_mp work like cmd Add module generation printer Tidy up, finish modulegen
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Signed-off-by: Robert Rosca <[email protected]>
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The readme has a quick start section describing usage. The fastest and easiest way to play around with this is in a docker container, specifically the one used for testing as this has python, pip, and a few other packages pre-compiled and installed inside it, saving a lot of time during the tests.
To get started within the container:
Then you can just
cd /tmp,pyvarium new env, and follow the instructions in the readme to see if everything works as expected. To make testing easier numpy is already present, so once you've set up a pyvarium environmentpyvarium add spack py-numpyshould finish pretty quickly, then runpyvarium add pipenv extra-data(or anything else) to add in packages from pip.