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feat: derived_observable now uses covobs when an input is not an Obs.

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This should result in a small speedup for all operations as one iteration over all data can
be dropped.
This commit is contained in:
Fabian Joswig 2021-12-08 14:34:48 +00:00
parent ea237ed849
commit 1db59a9fdc
1 changed files with 1 additions and 9 deletions
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10
pyerrors/obs.py
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@ -1053,17 +1053,9 @@ def derived_observable(func, data, array_mode=False, **kwargs):
raveled_data = data.ravel()
# Workaround for matrix operations containing non Obs data
# TODO: Find more elegant solution here.
for i_data in raveled_data:
if isinstance(i_data, Obs):
first_name = i_data.names[0]
first_shape = i_data.shape[first_name]
first_idl = i_data.idl[first_name]
break
for i in range(len(raveled_data)):
if isinstance(raveled_data[i], (int, float)):
raveled_data[i] = Obs([raveled_data[i] + np.zeros(first_shape)], [first_name], idl=[first_idl])
raveled_data[i] = cov_Obs(raveled_data[i], 0.0, "~#dummy_data#~")
allcov = {}
for o in raveled_data: