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Improved prior fit (#161)

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* refactor: merged combined fit and prior fit without breaking the
routine. Fitting with priors does not work yet.

* refactor: correlated fits without priors work now.

* refactor: prior error propagation and dof fixed.

* refactor: old prior fit implementation moved to tests.

* refactor: moved _extract_val_and_dval out of least_squares.

* refactor: comment removed.

* tests: additional tests and exceptions added.

* tests: test for constrained prior fit added.

* docs: least_squares docstring extended.

* fix: linting errors fixed.

* feat: additional if cause for fits without priors added to achieve
original speed.

* tests: test_constrained_and_prior_fit fixed.

* fix: fix array cast of least_squares dict mode.

* tests: test for lists in dict fit added.

* fix: additional asarray added in resplot.

Co-authored-by: Simon Kuberski <simon.kuberski@uni-muenster.de>
This commit is contained in:
Fabian Joswig 2023-03-07 16:15:16 +00:00 • committed by GitHub
parent 82cd2f11ea
commit 839d9214ed
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3 changed files with 549 additions and 364 deletions
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tests/obs_test.py
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@ -1085,7 +1085,7 @@ def test_non_overlapping_missing_cnfgs():
average = (even + odd) / 2
average.gm(S=0)
assert np.isclose(full.value, average.value)
assert np.isclose(full.dvalue, average.dvalue, rtol=0.01)
assert np.isclose(full.dvalue, average.dvalue, rtol=0.02)
def test_non_overlapping_operations():