<｜begin▁of▁sentence｜>### Instruction:
Imagine you're testing a new feature in a mobile app that visualizes a small network. The current network structure is simple: it's a triangle representing a cycle with nodes A, B, and C connected in a loop, and there's a fourth node, D, that's connected to node B.

As part of the app's functionality, users should be able to view the resilience of the network, which is depicted by the node connectivity – essentially, the minimum number of nodes that must be removed to break the connection between any two given nodes.

Your task is to assess the accuracy of this feature. The app developers have used a graph representation (potentially exportable as a "network_structure.gml" file) to model the connections between nodes. Using NetworkX, the developers claim to have implemented a way to calculate the node connectivity between all node pairs.

Can you rephrase the test scenario in which you have to check that the app correctly computes the node connectivity for each pair of nodes in this four-node network graph? Remember, the semantic essence of the original query must be preserved.
### Response:
import networkx as nx
import pprint

# Create a graph
G = nx.cycle_graph(3)
G.add_edge(2,3)

# Compute node connectivity between all pairs of nodes
K = nx.all_pairs_node_connectivity(G)

# Use pprint for better readability of the output
pprint.pprint(K)
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