<｜begin▁of▁sentence｜>### Instruction:
In the meticulous field of archaeological conservation, let's consider that we're tasked with mapping out the various interconnected pathways of an ancient site to better understand the flow of trade and travel central to its historical significance. To fully realize this complex network, we're utilizing NetworkX.

Suppose we have already sketched the preliminary connections between various landmarks and outposts. The need arises to incorporate a traditional route that completes a loop among a set of these points. Could you advise on how we might elegently weave this cycle into our existing graphical representation, ensuring that we also encapsulate the nuances such as the varying difficulty of passage—interpreted here as 'weight'—on each segment of this route? 

It's essential that our digital blueprint remains a faithful and dynamic portrayal of the intricate connective fabric that once held this civilization together, replete with the intricate details such as travel resistances, indicative of the insightful data one might glean from a meticulously annotated GML file mapping out such an ancient site.
### Response:
import networkx as nx

# Create an empty graph
G = nx.Graph()

# Add a simple cycle with 4 nodes to the graph
nx.add_cycle(G, [0, 1, 2, 3])

# Add another cycle with 3 nodes where each edge has a weight of 7
nx.add_cycle(G, [10, 11, 12], weight=7)

# Print the edges to see the weights
print(G.edges(data=True))
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