<｜begin▁of▁sentence｜>### Instruction:
As the Development Director for a prominent educational institution, you're tasked with enhancing the communication channels between your organization and potential donors. To achieve this, you've been exploring ways to visualize complex data, such as network graphs, and transmit them efficiently over the web.

In your pursuit, you've come across the need to draw network graphs using XML-RPC communication, a technology your institution is already leveraging for various purposes. You've envisioned a solution where you can utilize a pre-existing graph object representing institutional connections and serialize it for transmission using XML-RPC. To accomplish this, you're considering extending an existing class, let's call it `AbstractXMLRPCDrawer`, which handles the serialization and transmission process.

However, to integrate this solution seamlessly into your institution's workflow, you need to ensure that the drawing functionality aligns perfectly with your objectives and maintains the integrity of the data being communicated.
### Response:
import igraph as ig
import xmlrpc.client

# assuming 'AbstractXMLRPCDrawer' is part of a package that we can import
from some_igraph_extension_package import AbstractXMLRPCDrawer

# Example of how a 'draw' method can be invoked:
class MyXMLRPCDrawer(AbstractXMLRPCDrawer):
    def draw(self, context):
        # Implementation of drawing logic using XML-RPC
        with xmlrpc.client.ServerProxy('http://localhost:8000/') as proxy:
            graph_data = context.serialize()  # hypothetical serialize method
            proxy.draw_graph(graph_data)

# Assuming 'context' is an object representing drawing context with a hypothetical serialize method
g = ig.Graph()
context = MyDrawingContext(g)
my_drawer = MyXMLRPCDrawer()
my_drawer.draw(context)
<|EOT|>
