Remove print(eigr)

pybop-team · NicolaCourtier · Dec 20, 2024 · Jun 14, 2024 · Jul 5, 2024 · Jul 5, 2024
commit 94be05910f2a61eae9c1a9d86dcea85de66a4c9c
diff --git a/pybop/_classification.py b/pybop/_classification.py
@@ -93,7 +93,6 @@
         # Compute the eigenvalues, returned in ascending order
         eigr = np.linalg.eigh(cfd_hessian)
         eigenvalues = eigr.eigenvalues
-        print(eigr)
 
         # Classify the result
         cost_tolerance = epsilon**2 * final_cost
@@ -102,7 +101,7 @@
        elif np.all(eigenvalues < -cost_tolerance):
            message = "The optimiser has located a maximum."
        elif np.all(np.abs(eigenvalues) > cost_tolerance):
            message = "The optimiser has located a saddle point."
        else:
            # At least one eigenvalue is too small to classify with certainty
            if np.all(np.abs(eigenvalues) < cost_tolerance):