<｜begin▁of▁sentence｜>### Instruction:
As an electrician, you're familiar with the importance of precision and efficiency in your work. Imagine you've been tasked with installing a new lighting system in a building. You need to create a detailed plan of the wiring layout to ensure optimal performance and safety.

You're using a specialized tool called "GraphBuilder" that helps visualize electrical connections. Using this tool, you've defined a simple diagram representing the connections between different electrical components. The connections are denoted by the following pairs of terminals: [(0, 1), (1, 2), (2, 3)].

Now, you're aiming to generate a visual representation of this diagram, but you want to customize how the connections are displayed to ensure clarity and ease of understanding. You've decided to employ a specific feature called "LightToDarkEdgeDrawer" offered by the GraphBuilder tool, which enables you to draw the connections with varying shades to highlight their paths effectively.

Your ultimate goal is to save this customized diagram as an image file named 'graph_with_custom_edges.png', which you can refer to during the installation process and share with your team for review. This detailed visual representation will serve as a valuable reference, ensuring that the wiring is implemented accurately and efficiently, adhering to the highest standards of electrical safety and functionality.
### Response:
from igraph.drawing import Plot
from igraph.drawing.edge import LightToDarkEdgeDrawer
from igraph import Graph

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

# Create a plot with a given size
plot = Plot(bbox=(300, 300))

# Add a graph to the plot with our custom edge drawer
plot.add(g, edge_drawer=LightToDarkEdgeDrawer(plot.context))

# Save the plot to a file
plot.save('graph_with_custom_edges.png')
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