<｜begin▁of▁sentence｜>### Instruction:
In the midst of working on the graphics for an upcoming highly intricate space exploration game, let's add an intriguing level where players need to navigate through a space station designed as a 3D network of interconnected modules. Picture this: Our space station consists of 12 modules, intertwined in a symmetrical pattern that repeats a specific configuration of connections. The pattern follows what's known in graph theory as LCF notation, where we connect modules not sequentially but by skipping a certain number in the sequence—in this case, jumping 3 modules forward, 3 modules back, and then 3 modules forward again. We repeat this connection pattern 4 times around our circular station layout to maintain its symmetry.

Could you create a graphical representation of this layout using NetworkX, which we can then translate into our 3D animation software? The clarity of this visualization will ensure that our animation team can render the space station with the precise level of detail the game requires.
### Response:
import networkx as nx

# Use LCF notation to create a cubic graph
# Here is an example LCF for a cubic graph with 12 nodes and 3 jumps repeated 4 times
lcf = [3, -3, 3]
repeat = 4
G = nx.lcf_graph(12, lcf, repeat)

# Now, draw the graph
import matplotlib.pyplot as plt
nx.draw(G, with_labels=True)
plt.show()
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