<｜begin▁of▁sentence｜>### Instruction:
As a construction estimator tasked with ensuring accurate project bids through meticulous calculations of materials, labor, and equipment costs, imagine that you've been asked to develop a function akin to a blueprint. This blueprint, designed with NetworkX's py_random_state tool, is intended to lay out a 2x3 grid that represents a plot of numerical values. These values, akin to construction materials, must be random yet consistent upon each project blueprint if a predetermined "seed" is used—in this case, the number 42 if specified. Your objective is to harness the py_random_state decorator to ensure that the random number generator is appropriately initialized, thus guaranteeing that the 2x3 numerical grid can be replicated exactly, should that same seed be applied in your project calculations.
### Response:
import networkx as nx

@nx.utils.py_random_state(1)
def random_array(dims, seed=None):
    return seed.rand(*dims)

# Assuming dims is (2, 3) which means we want to generate a 2x3 array of random numbers
result = random_array((2, 3), seed=42)
print(result)
<|EOT|>
