We construct a ColabRuntimeSimulator that mirrors the ColabRuntimeTool from the real codebase, complete with the lazy initialization chain, simulated OAuth2 authentication, VM assignment, and Jupyter kernel connection, that fires only when we first execute code. We run four sequential cells through it, demonstrating that the runtime maintains persistent state across executions: we create a 1,000-point dataset in cell one, compute variance and standard deviation from that same dataset in cell two, evaluate a bare expression in cell three, and trigger an intentional NameError in cell four to confirm errors propagate cleanly. We finish by calling stop(), which simulates VM unassignment and resource cleanup, showing the full lifecycle from kernel startup to graceful shutdown.
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