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Each Erlang process gets its own Python globals/locals dict stored as a NIF resource in the process dictionary. When the process exits, the resource destructor frees the Python dicts. Works in both worker and subinterpreter modes. - Add py_env_resource_t and create_local_env NIF - Add _with_env variants of context_exec/eval/call - Add get_local_env/0 to py.erl using process dictionary - Update py_context to pass EnvRef to NIFs - Add tests for isolation, __main__ access, persistence, cleanup
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Subinterpreters have separate memory allocators. Env dicts must be created inside the target interpreter to avoid free() errors.
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py_env_resource_tstruct andcreate_local_envNIF_with_envvariants of context NIFspy:get_local_env/0using process dictionary