Fix for np.linalg.svd on Cartesius for sibcasa covariance matrices

da/baseclasses/statevector.py

@@ -240,7 +240,10 @@ class StateVector(object):
         # Make a cholesky decomposition of the covariance matrix
 
 
-        _, s, _ = np.linalg.svd(covariancematrix)
+        try:
+            _, s, _ = np.linalg.svd(covariancematrix)
+        except:
+            s = np.linalg.svd(covariancematrix, full_matrices=1, compute_uv=0) #Cartesius fix
         dof = np.sum(s) ** 2 / sum(s ** 2)
         C = np.linalg.cholesky(covariancematrix)