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Adds explicit import caching for Python modules and functions:
API:
- py:import/1 - Import and cache a module
- py:import/2 - Import module and cache a specific function
- py:flush_imports/0 - Clear all import caches
- py:import_stats/0 - Get cache entry count
- py:import_list/0 - List cached imports as #{Module => [Funcs]}
Key behaviors:
- __main__ is never cached (returns error)
- Caching is per-process namespace (via PID affinity)
- All Python execution commands benefit from the cache
Tests:
- py_import_SUITE: 12 tests for basic import functionality
- py_import_owngil_SUITE: 9 tests for OWN_GIL mode (Python 3.12+)
- Multi-process and concurrent stress tests included
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Summary
py:new_env/1,2to create reusable Python environments with initialization codepy:set_env/1,py:get_env/0,1,py:list_envs/0,py:destroy_env/1py:eval/execandpy_event_loop_pool:eval/execto use named env when setExample usage:
{ok, _} = py:new_env(<<"import numpy as np">>, #{name => numpy_env}), ok = py:set_env(numpy_env), {ok, Result} = py:eval(<<"np.array([1,2,3])">>).