<｜begin▁of▁sentence｜>### Instruction:
Imagine you're working on designing the infrastructure for a new marketing campaign aimed at mapping out the journey of a customer's engagement with a brand. You've got a graph representing this journey, and you need to enhance this representation to showcase different touchpoints and channels. Let's say you want to add a sequence of touchpoints labeled (0, 1, 2, 3) to this graph as a linear path where each touchpoint currently holds no particular edge attributes since they are standard interactions.

Further, for the high-impact marketing channels, you plan to add another sequence of touchpoints (10, 11, 12) to the graph. These touchpoints are unique, as they are part of a premium strategy that requires a higher investment. You'd like to assign a special attribute to the edges connecting these touchpoints, say a 'weight' of 7, to signify the importance and resource allocation for these channels compared to the standard ones.

Now, how would you translate this into a practical task with the graph you have in your campaign's strategic planning tool, ensuring that the changes reflect the new paths with appropriate attributes where required? Keep in mind that these graph modifications need to align with the strategy your team has outlined for the campaign's rollout without neglecting the attribute detail on those premium channels.
### Response:
import networkx as nx

# Create a new graph
G = nx.Graph()

# Add a path with default attributes
nx.add_path(G, [0, 1, 2, 3])

# Add another path with a specified attribute
nx.add_path(G, [10, 11, 12], weight=7)
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