<｜begin▁of▁sentence｜>### Instruction:
As an experienced project coordinator, imagine you are working on a project to visualize the relationships between different departments within a large organization. You have been tasked with implementing a customized layout for the graph visualization using the networkx library in Python. Your goal is to extend the AbstractGraphDrawer class in networkx and ensure that the graph is drawn according to a specific parameter, reflecting the hierarchical relationships between the various departments. What steps would you take to achieve this?
### Response:
import igraph as ig

# Define a custom graph drawer by extending AbstractGraphDrawer
class CustomGraphDrawer(ig.drawing.AbstractGraphDrawer):
    def __init__(self, some_parameter):
        self.some_parameter = some_parameter

    def ensure_layout(self, layout, graph):
        # Call the superclass method to make sure layout is valid
        return super().ensure_layout(layout, graph)

    def draw(self, graph, *args, **kwargs):
        # Implement custom drawing logic here
        print('Custom drawing logic based on', self.some_parameter)
        layout = self.ensure_layout(graph.layout() if hasattr(graph, 'layout') else None, graph)
        # Add drawing code here using the context and layout

# Usage example
my_graph = ig.Graph(edges=[(0, 1), (1, 2), (2, 3)])
my_drawer = CustomGraphDrawer(some_parameter='example')
my_drawer.draw(my_graph)
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