<｜begin▁of▁sentence｜>### Instruction:
In the vibrant ecosystem of interconnected species within a garden, imagine we have a variety of plants that have developed a network of symbiotic relationships akin to a graph, with species 'A', 'B', 'C', and 'D' representing different plants. These plants are connected by the following symbiotic associations: 'A' and 'B', 'A' and 'C', 'B' and 'C', and 'C' and 'D'. For a better understanding of this botanical network's structure, we are interested in assessing the structural importance or "constraint" of each species within this web of interactions, using the analytical tools provided by NetworkX. Could you assist in examining these relationships to measure the constraint each plant node holds within the collective network? This inquiry is crucial in grasping the resilience and dependency of each species in our ecological study.
### Response:
import networkx as nx

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

# Add edges
G.add_edges_from([('A', 'B'), ('A', 'C'), ('B', 'C'), ('C', 'D')])

# Compute the constraint for all nodes in the graph
node_constraints = nx.constraint(G)

# Output the constraints for each node
for node, constraint in node_constraints.items():
    print(f'Node {node} has constraint: {constraint}')
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