fixed fitter and model

Model.py

@@ -445,5 +445,5 @@ if __name__ == "__main__":
     times = np.arange(0, 1000, 1.0)
 
     states, V = model.solve(initial_values=initial_values, tspan=[0, 1000], dt=1.0, times=times)
-    
+
     model.plot_results(times, states, V)

fitter.py

@@ -61,16 +61,13 @@ class Fitter:
         model.K_pc_half = K_pc_half
         model.tau_xfer = tau_xfer
 
-        model.solve(
+        states, V = model.solve(
             times=self.time_points,
             tspan=self.tspan,
             dt=self.dt,
             initial_values=self.initial_values,
         )
 
-        states = self.initial_values
-        t = self.time_points
-        V = model.mem_potential(t)
         _calc_curr = model.calculated_current(states, V)
         calculated_current = (
             self.convolve_current(_calc_curr, tau=tau_RC)[self.current_time_indecies]
@@ -124,8 +121,8 @@ class Fitter:
             init_parameters,
             bounds=bounds,
             xtol=1e-10,
-            ftol=1e-12,
-            verbose=2,
+            ftol=1e-10,
+            #  verbose=2,
         )
 
         print()