<｜begin▁of▁sentence｜>### Instruction:
Imagine you're overseeing a community of homes represented by properties at locations 1, 2, 3, and 4. The roads between these properties are delineated by paths connecting properties 1 & 2, 2 & 3, 3 & 1, and an additional path linking property 3 to property 4. As a diligent property manager focused on maintaining the integrity of the community layout, you want to verify that the current road system avoids the formation of any triangular road circuits which could lead to traffic congestion and reduce accessibility for residents and emergency services alike. 

Could you utilize a bespoke analytical tool, akin to NetworkX, specially designed for such undirected networks to assess whether these paths form any triangle-shaped circuits, keeping in mind that this tool is generally applicable to undirected road layouts rather than one-way street systems? Please ensure that this analysis is consistent with our aim to facilitate clear navigation and property access within our community management portfolio.
### Response:
import networkx as nx
from networkx.utils.decorators import not_implemented_for

@not_implemented_for('directed')
def is_triangle_free(G):
    for u, v, w in nx.cycle_basis(G):
        if len(w) == 3:
            return False
    return True

# Create an undirected graph
G = nx.Graph()
G.add_edges_from([(1, 2), (2, 3), (3, 1), (3, 4)])

# Check if the graph is triangle-free
print(is_triangle_free(G))
<|EOT|>
