Kale Kundert

These two expressions are almost identical, but it turns out that the latter is (currently) necessary to visualize models using torchlens. See johnmarktaylor91/torchlens#18 for more information. While this is a...

This PR is a proposal to refactor the Fourier transform API, with the goal of making it easier to incorporate Fourier transforms into other modules. Here are the two specific...

Migrate unit tests to pytest?

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While I was working on #78, the test suite caused me a lot of trouble. There were two main problems: - Running the tests takes a really long time. I...

Make groups, irreps, and gspaces into stateless, picklable singletons

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My reason for making this PR is that I wanted to be able to pickle *escnn* modules for the purpose of making checkpoints during training. Before I started, I noticed...

`pytest --sw` doesn't remember failures when using `subtests` with `@parametrize`

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Here's a short example: ``` # test_foo.py import pytest @pytest.mark.parametrize( 'xs', [ [True], [False], ], ) def test_foo(xs, subtests): for x in xs: with subtests.test(x=x): assert x ``` When I...

`CifFile.WriteOut()` unavoidably prints to stdout

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Here's a minimal example: ```pycon >>> from CifFile import CifFile, CifBlock >>> cf['9xyz'] = CifBlock() >>> x = cf.WriteOut() Writing 9xyz, All blocks output. ``` If I want to control...

Use torchlens with ESCNN model

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I just tried using torchlens on a model built using a library called [ESCNN](https://github.com/QUVA-Lab/escnn), and I ran into some errors that I'm hoping you can help me with. ESCNN is...

It'd be nice to have some ability to recurse into nested data structures. I think I can already descend into dicts using `cast()`, but I need another function for containers....

- Each time a file is loaded, note the top-level keys in global variable. - Each time a test is run, note which parameters were actually used. - At the...

The basic idea would be to load the file and then to look in `globals()` for test cases, e.g.: ``` test_foo = [ dict( given=1, expected=2, ), dict( given=3, expected=4,...