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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.
- Fix get_interp_id to return {ok, InterpId} tuple (was returning raw int)
- Add handler for create_local_env during callback wait
- Add handlers for EnvRef variants of call, eval, exec messages
- Add schedule marker handling to nif_context_eval_with_env
These messages are sent during reentrant callbacks when Python calls
back to Erlang which then calls py:call/eval/exec.
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Summary
Changes
py_env_resource_tstruct andcreate_local_envNIF_with_envvariants of context NIFspy:get_local_env/0using process dictionary