<｜begin▁of▁sentence｜>### Instruction:
As an automotive engineer, you might be working on designing and developing vehicles and their systems, such as engines, chassis, and electrical components. When working with complex systems, it can be beneficial to efficiently retrieve the label positions of edges in a graph representation of a vehicle's network. For instance, if you are using Python and the NetworkX library to represent a vehicle's system as a graph, you may need to extend the AbstractCairoEdgeDrawer to retrieve the label position of each edge for visualization purposes. This knowledge can be particularly useful when creating visual representations of complex vehicle networks to aid in the design and development process.
### Response:
from igraph import Graph, plot
from igraph.drawing.edge import AbstractCairoEdgeDrawer

# Create a simple graph
g = Graph(edges=[(0,1), (1,2), (2,3)])

# Custom Edge Drawer class extending AbstractCairoEdgeDrawer
class CustomEdgeDrawer(AbstractCairoEdgeDrawer):
    def draw(self, edge, palette, *args, **kwds):
        # Custom drawing procedure for an edge
        pass
    
    def get_label_position(self, edge):
        # Custom label position for an edge
        return super().get_label_position(edge)

# Create the plot with a custom edge drawer
plot(g, edge_drawer=CustomEdgeDrawer(), vertex_label=g.vs.index)
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