update the solver of the adjoint model, move the former solver method to a...

update the solver of the adjoint model, move the former solver method to a more generic method given an adjoint derivative observation operator and specialize a solver for the classical adjoint model and one for the one-sensor adjoint model

src/source_localization/adjoint_convection_diffusion_2D.py

@@ -309,7 +309,7 @@ class AdjointDiffusionConvectionReaction2DEquation:
             p_out = np.append(np.copy(p), p_out)  # np.copy NECESSARY???
 
         return p_out
-    
+
     def solver(self, cost, display_flag=True):
         r"""
         Compute the adjoint state :math:`c^*(x,y,t)` by solving the adjoint model on the whole time window.
@@ -337,7 +337,7 @@ class AdjointDiffusionConvectionReaction2DEquation:
         of the class :class:`~source_localization.control.Control`.
         """
         return self.solver_given_adj_deriv_obs_op(cost.obs.adjoint_derivative_obs_operator, cost, display_flag=display_flag)
-    
+
     def onesensor_solver(self, cost, index_sensor, display_flag=True):
         r"""
         Compute the one-sensor adjoint state :math:`c^*(x,y,t)` by solving the adjoint model on the whole time window.
@@ -364,6 +364,8 @@ class AdjointDiffusionConvectionReaction2DEquation:
         to match the format of the attribute :attr:`~source_localization.control.Control.value`
         of the class :class:`~source_localization.control.Control`.
         """
+
         def adj_der_obs_op(t, phi):
             return cost.obs.onesensor_adjoint_derivative_obs_operator(t, phi, index_sensor)
+
         return self.solver_given_adj_deriv_obs_op(adj_der_obs_op, cost, display_flag=display_flag)