random seed added for tests passing

deniswerth · Sep 5, 2022 · 2f82df0 · 2f82df0
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diff --git a/PUBLISHED.rst b/PUBLISHED.rst
@@ -4,7 +4,8 @@ Published work with lenstronomy
 
 In this section you can find the concept papers **lenstronomy** is based on and a list of science publications that made
 use of **lenstronomy** before 09/2022.
-For a more complete and current list of publications using lenstronomy we refer to the `NASA/ADS query <https://ui.adsabs.harvard.edu/search/p_=0&q=citations(author%3A%22%5EBirrer%22%20title%3A%22lenstronomy%22)&sort=date%20desc%2C%20bibcode%20desc>`_,.
+For a more complete and current list of publications using lenstronomy we refer to the `NASA/ADS query <https://ui.adsabs.harvard.edu/search/p_=0&q=citations(author%3A%22%5EBirrer%22%20title%3A%22lenstronomy%22)&sort=date%20desc%2C%20bibcode%20desc>`_
+(this incudes all publications citing lenstronomy papers, which is not the same as publications making active use of the software).
 
 
 Core lenstronomy methodology and software publications

diff --git a/test/test_Workflow/test_fitting_sequence.py b/test/test_Workflow/test_fitting_sequence.py
@@ -321,6 +321,7 @@ def test_multinest(self):
         assert kwargs_out['kwargs_lens'] == 1
 
     def test_dynesty(self):
+        np.random.seed(42)
         kwargs_params = copy.deepcopy(self.kwargs_params)
         kwargs_params['lens_model'][0][0]['theta_E'] += 0.01
         fittingSequence = FittingSequence(self.kwargs_data_joint, self.kwargs_model, self.kwargs_constraints,