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AI-generatedNumPy ↔ Production Python Runtime: np.load allow_pickle interoperability
NumPy I/O for .npy files and production Python runtime security policy interact at the allow_pickle boundary. The goal is to define a portable persistence approach for NumPy arrays that remains valid when the same code and files move from development to a hardened production environment. The relevant constraint is that object arrays require pickle support to