<｜begin▁of▁sentence｜>### Instruction:
Imagine we are designing a simple, assistive technology program for individuals with disabilities, aimed at increasing their digital independence through personalized interface themes. We want to create a program interface that is not only functional but also aesthetically pleasing, using different colors to distinguish various interactive elements. However, for clarity and ease of use, we need adjacent elements not to have the same color. 

To achieve this, we are considering a visual layout akin to a cycle graph with 4 elements, representing these interface components. We want to apply a color-coding scheme to these elements, ensuring adjacent elements are distinct in color. 

Could you suggest how we could employ the `greedy_color` function with a 'largest_first' strategy within our program's code as a means to automatically assign colors to the nodes of this cycle graph, so that no two elements that are next to each other share the same color? This would greatly enhance the program's usability for our clients.
### Response:
import networkx as nx

# Create a graph
G = nx.cycle_graph(4)

# Use the greedy coloring algorithm with the 'largest_first' strategy
coloring = nx.coloring.greedy_color(G, strategy='largest_first')

print('Node coloring:', coloring)
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