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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def insert_1d_permute_layers(self):
 """ Insert permutation layers before a 1D start point or after 1D end point """

        idx, nb_layers = 0, len(self.layer_list)
        in_edges, out_edges = self._get_1d_interface_edges()

        # Hacky Warning: (1) use a 4-D permute, which is not likely to happen in Keras,
        # to represent actual permutation needed for (seq, c, h, w) in CoreML
        # (2) Assume 2-D input shape has meaning (seq, c), and during CoreML runtime,
        # it is represented as 4D blob, (seq, c, h, w)
        for in_edge in in_edges:
            src, snk = in_edge
            if src is None:
                permute_layer = '_permute_' + snk
            else:
                permute_layer = src + '_permute_' + snk
            keras_permute = _keras.layers.Permute(dims=(3,1,2,0)) # assume w = 1, switch seq and w
            self._insert_layer_between(src, snk, permute_layer, keras_permute)
        for out_edge in out_edges:
            src, snk = out_edge
            if snk is None:
                permute_layer = src + '_permute_'
            else:
                permute_layer = src + '_permute_' + snk
            keras_permute = _keras.layers.Permute(dims=(3,1,2,0)) # assume w = 1, switch seq and w back
            self._insert_layer_between(src, snk, permute_layer, keras_permute)