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to be merged after #115 |
This was referenced Nov 11, 2025
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- fix maxlen - add test for mr2021 - fix short versions for only_z
- fix SAD DM for open-shell - fix tests so they test SAD-diff
liam-o-marsh
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Nov 18, 2025
YAY-C
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Dec 3, 2025
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just a few comments that we can remove, I think.
and maybe the trimming of the vectors is unnecessary (in test), but needs to be checked.
tests/test_kernels.py
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| #np.random.seed(666) | ||
| #X = np.random.rand(2,4) | ||
| #Y = np.random.rand(2,4) | ||
| #K_G_good = np.zeros((len(X),len(Y))) | ||
| #K_L_good = np.zeros((len(X),len(Y))) | ||
| #for i, x in enumerate(X): | ||
| # np.random.seed(666) | ||
| # X = np.random.rand(2,4) | ||
| # Y = np.random.rand(2,4) | ||
| # K_G_good = np.zeros((len(X),len(Y))) | ||
| # K_L_good = np.zeros((len(X),len(Y))) | ||
| # for i, x in enumerate(X): | ||
| # for j, y in enumerate(Y): | ||
| # K_G_good[i,j] = np.dot(x-y, x-y) | ||
| # K_L_good[i,j] = np.sum(abs(x-y)) | ||
| #np.exp(-K_G_good/2, out=K_G_good) | ||
| #np.exp(-K_L_good/2, out=K_L_good) | ||
| #K_dot_good = np.dot(X, Y.T) | ||
| #K_cos_good = K_dot_good / np.outer(np.linalg.norm(X, axis=1), np.linalg.norm(Y, axis=1)) | ||
| # np.exp(-K_G_good/2, out=K_G_good) | ||
| # np.exp(-K_L_good/2, out=K_L_good) | ||
| # K_dot_good = np.dot(X, Y.T) | ||
| # K_cos_good = K_dot_good / np.outer(np.linalg.norm(X, axis=1), np.linalg.norm(Y, axis=1)) |
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@briling I'm not exactly sure why it's there, but I think we can remove this too!
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i wanted to keep it to show how the "true" data was generated
YAY-C
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fix and refactor spahm(a)
maybe the slice generator and cursor class make it more complicated, so I can revert