+ ;i_\^RIt^RIt^RIt^RIt^RIHt!RR]P 4tR#)N)Pathc&a]tRt^toRtRtVtR#)TestUnpickleDeletedModulec RP.RO4pRp\P!4;_uu_4p\PP V4\ V RV R24p\VR4pVPV4VP4^RI H pRRR4\PV\P!X4p\P!V4pVP!V!^4^4R# +'giLg;i) acCreate a module that uses Numba, import a function from it. Then delete the module and pickle the function. The function should load from the pickle without a problem. Note - This is a simplified version of how Numba might be used on a distributed system using e.g. dask distributed. With the pickle being sent to the worker but not the original module.  tmp_module/z.pya)inc1N)zfrom numba import vectorizez @vectorize(['float64(float64)'])z def inc1(x):z return x + 1)jointempfileTemporaryDirectorysyspathappendropenwritecloserr modulespickledumpsloads assertEqual)selfsourcemodnametmp_dirfilenamefr pkls& f/var/www/html/photoedit/myenv/lib/python3.14/site-packages/numba/tests/test_unpickle_without_module.py"test_loading_pickle_with_no_moduler0s& )" 1 1)"r,