Direct Solver: Recursive Skeletonization #164
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@inducer This should be ready for a look. It doesn't do much:
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inducer
reviewed
Aug 23, 2022
pytential/linalg/cluster.py
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| Current level that is represented. | ||
| .. attribute:: nlevels |
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Reworked this a while back, so not quite sure if your comment still applies?
pytential/linalg/cluster.py
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| # {{{ cluster tree | ||
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| @dataclass(frozen=True) | ||
| class ClusterTreeLevel: |
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Is this two things rather than one?
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Yeah, separated into a ClusterTree and ClusterLevel with a ClusterTree.levels() iterator to go through them for the recursive skeletonization.
Naming could still be better probably?
| logger.info("\n%s", case) | ||
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| run_skeletonize_by_proxy(actx, case, case.resolutions[0], visualize=visualize) | ||
| dd = sym.DOFDescriptor(case.name, discr_stage=case.skel_discr_stage) |
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Update the test docstring to describe precisely what's being tested here.
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Updated the blurb in
https://github.com/inducer/pytential/compare/f71a21b1a54791b02b35712225b9cfaca4be60cf..9a8db7ff410051a6b7d86cd8d5b934d02d094fef
Let me know if it's clear enough!
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@inducer I think inducer/ci-support@1475971 broke pylint (it's not finding the cython stuff anymore?). Any suggestion for a fix? |
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Attempting to break up the direct solver MR into smaller, more reviewable pieces. As a rundown
linalg.proxy).The code for this is mostly in the deprecated https://gitlab.tiker.net/inducer/pytential/-/merge_requests/137.