Python3.9

akvo/tressel/logbarrier.py

             #mu2 = SIGMA/N * np.abs(np.dot(s2, x))
             
             b_pre = np.dot(A, x)
-            phid = np.linalg.norm( np.dot(Wd, (b-b_pre)))**2
+            phid = np.linalg.norm(np.dot(Wd, (b-b_pre)))**2
             phim = np.linalg.norm( np.dot(Phim_base, (x-xr)) )**2
             phib = PhiB(mu1, minVal, x)
             inner += 1

setup.py

     long_description = fh.read()
 
 setup(name='Akvo',
-      version='1.5.1',
+      version='1.5.2',
       python_requires='>3.7.0', # due to pyLemma
       description='Surface nuclear magnetic resonance workbench',
       long_description=long_description,
           'build_py': custom_build_py,
       },
       # Mechanism to include auxiliary files
-      include_package_data=True,
+      # commenting out may be necessary? 
+      #include_package_data=True,
       package_data={
         'akvo.gui': ['*.png'], 
-        'akvo.gui': ['*.ui']
+        'akvo.gui': ['*.ui'],
+        '': ['*.png'], 
       },
       classifiers=[
         "Programming Language :: Python :: 3",