refactorizing the code by removing the _cal_plot_dimentsion

AUTHORS.md

@@ -16,7 +16,7 @@
 * Peter Oehme, oehme.pb@gmail.com
   * quadratic functionals and quadratic output keyword for CG discretization
 * Mohamed Adel Naguib Ahmed, mohamedadel1551998@gmail.com
-  * Input-output selection in bode_plot function
+  * Input-output selection in `bode_plot` function
 
 * Mohamed Adel Naguib Ahmed, mohamedadel1551998@gmail.com
   * Input-output selection in `bode_plot` function

src/pymor/models/transfer_function.py

@@ -323,78 +323,6 @@ class TransferFunction(CacheableObject, ParametricObject):
         fig.suptitle('Bode plot')
         return artists
 
-    def _calc_plot_size_and_input_output_indics(self, input_indices=None, output_indices=None):
-        """Calculate the figure size in case of selecting a specific inputs/outputs pairs along with
-
-        calculating the indices for the desired inputs and outputs
-
-        Parameters
-        ----------
-        input_indices
-            List of integers,If not None will show the plots for the inputs
-            associated with the given indices.
-        output_indices
-            List of integers,If not None will show the plots for the
-            outputs associated with the given indices.
-
-
-        Returns
-        -------
-        number_rows
-            Number of rows in the bode plot.
-        number_columns
-            Number of columns in the bode plot.
-        list_input_indices
-            List of specific input indices.
-        list_output_indices
-            LList of specific output indices.
-        """
-        match(input_indices, output_indices):
-            case(None, None):
-                number_rows = 2 * self.dim_output
-                number_columns = self.dim_input
-
-                list_input_indices = [*range(self.dim_input)]
-                list_output_indices = [*range(self.dim_output)]
-
-            case (None, list()):
-                assert all([isinstance(item, int) for item in output_indices])
-                assert all([output_indices[i] in range(-self.dim_output+1, self.dim_output)
-                            for i in range(len(output_indices))]), \
-                    f'Output indices should be any integer value between {-self.dim_output +1} and { self.dim_output-1}'
-                number_rows = 2 * len(output_indices)
-                number_columns = self.dim_input
-
-                list_input_indices = [*range(self.dim_input)]
-                list_output_indices = output_indices
-
-            case (list(), None):
-                assert all([isinstance(item, int) for item in input_indices])
-                assert all([input_indices[i] in range(- self.dim_input+1, self.dim_input)
-                           for i in range(len(input_indices))]), \
-                    f'Input indecies should be any integer value between {-self.dim_input +1} and {self.dim_input-1}'
-                number_rows = 2 * self.dim_output
-                number_columns = len(input_indices)
-
-                list_input_indices = input_indices
-                list_output_indices = [*range(self.dim_output)]
-
-            case(list(), list()):
-                assert all([isinstance(item, int) for item in output_indices])
-                assert all([isinstance(item, int) for item in input_indices])
-                assert all([output_indices[i] in range(- self.dim_output+1, self.dim_output)
-                            for i in range(len(output_indices))]), \
-                    f'Output indices should be any integer value between {-self.dim_output+1} and {self.dim_output-1}'
-                assert all([input_indices[i] in range(- self.dim_input+1, self.dim_input)
-                            for i in range(len(input_indices))]), \
-                    f'Input indecies should be any integer value between {-self.dim_input +1} and {self.dim_input-1}'
-                number_rows = 2 * len(output_indices)
-                number_columns = len(input_indices)
-
-                list_input_indices = input_indices
-                list_output_indices = output_indices
-        return number_rows, number_columns, list_input_indices, list_output_indices
-
     def mag_plot(self, w, mu=None, ax=None, ord=None, Hz=False, dB=False, adaptive_opts=None, **mpl_kwargs):
         """Draw the magnitude plot.