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precision is ok, but numpy.sum takes sum over all dimensions per default

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Martin Diehl 2022-02-17 07:58:56 +01:00
parent 9a5eb45212
commit 9972a22043
1 changed files with 1 additions and 1 deletions
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python/damask/_rotation.py
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@ -1567,7 +1567,7 @@ class Rotation:
+0.000059719705868660826, -0.00001980756723965647, +0.000059719705868660826, -0.00001980756723965647,
+0.000003953714684212874, -0.00000036555001439719544]) +0.000003953714684212874, -0.00000036555001439719544])
hmag_squared = np.sum(ho**2.,axis=-1,keepdims=True) hmag_squared = np.sum(ho**2.,axis=-1,keepdims=True)
s = sum([t*hmag_squared**i for i,t in enumerate(tfit)]) # np.sum fails due to higher precision s = np.sum(np.array([t*hmag_squared**i for i,t in enumerate(tfit)]),0)
with np.errstate(invalid='ignore'): with np.errstate(invalid='ignore'):
ax = np.where(np.broadcast_to(np.abs(hmag_squared)<1.e-8,ho.shape[:-1]+(4,)), ax = np.where(np.broadcast_to(np.abs(hmag_squared)<1.e-8,ho.shape[:-1]+(4,)),
[ 0.0, 0.0, 1.0, 0.0 ], [ 0.0, 0.0, 1.0, 0.0 ],