<｜begin▁of▁sentence｜>### Instruction:
As a Smart Home Designer, I often work with interconnected systems to ensure seamless functionality and user experience within residential properties. Suppose I'm tasked with setting up a network of sensors and actuators for a smart home, where each node represents a different area of the house, like the living room, kitchen, bedroom, etc. To streamline communication between these nodes, I utilize NetworkX, a Python library for analyzing complex networks.

Now, imagine I'm designing a path graph to track movement within the house, with five nodes representing distinct areas. My goal is to establish connections between these nodes, forming consecutive pairs to facilitate efficient data transmission. However, I must ensure that the path graph includes circular pairs, linking the last node back to the first, to maintain continuous monitoring throughout the house.

To accomplish this, I need to develop a function that not only lists consecutive pairs of nodes but also incorporates the circular connection between the last and first nodes. This ensures seamless communication and comprehensive coverage within the smart home network.
### Response:
import networkx as nx

# Create a path graph
g = nx.path_graph(5)

# Define a function for consecutive pairs
from itertools import tee, islice, chain, zip_longest
def consecutive_pairs(iterable, circular=False):
    """Returns consecutive pairs of items from the given iterable."""
    a, b = tee(iterable)
    first_value = next(b, None)
    if first_value is not None and circular:
        return zip_longest(a, chain(b, [first_value]), fillvalue=first_value)
    return zip(a, b)

# Use the consecutive_pairs function with the nodes of the graph
pairs = list(consecutive_pairs(g.nodes(), circular=True))
print(pairs)
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