Thread 0 Crashed:: Dispatch queue: -threadĠ libjulia-internal.1.6.dylib 0x10ad58e2d jl_uv_puts + 749ġ libjulia-internal.1.6.dylib 0x10ad59050 jl_printf + 208Ģ libjulia-internal.1.6.dylib 0x10aca6954 jl_vexceptionf + 244ģ libjulia-internal.1.6.dylib 0x10aca6a12 jl_errorf + 146Ĥ libjulia-internal.1.6.dylib 0x10ad3d95e jl_load_dynamic_library + 1262ĥ libjulia-internal.1.6.dylib 0x10ad3eec5 _julia_init + 405Ħ libjulia-internal.1.6.dylib 0x10ad74af8 jl_init_with_image_threading + 72ħ libffi.dylib 0x7ff81c8f28c2 ffi_call_uni圆4 + 82 REGION TYPE START - END PRT/MAX SHRMOD REGION DETAIL VM Region Info: 0xfffffffffffffff8 is not in any region. Termination Reason: Namespace SIGNAL, Code 11 Segmentation fault: 11 Then, when finally trying to run import juliacall python3 quits with the following error:īelow is a preview of the entire problem report linked to the top of this post.Ĭrashed Thread: 0 Dispatch queue: -threadĮxception Codes: KERN_INVALID_ADDRESS at 0xfffffffffffffff8Įxception Codes: 0x0000000000000001, 0xfffffffffffffff8 Looking at JuliaPkg, I got juliapkg.resolve() to successfully run in a virtual python3 environment, which created the julia environment (Just getting to this step involved a morning of troubleshooting as JuliaPkg seems to be inherently designed to download the newest version of Julia). I've set up a python virtual environment with my nessicary dependancies for python and I used JuliaPkg to manage the version and julia packages used. But to do more expansive data analysis I'm going to be using Python, and I'm trying to get Python and Julia to play nice using JuliaCall (). While working with Julia I found I needed to use Julia 1.6.7 to properly get both of these programs working. Specifically I need to work with the curricular analytics / curricular visualization packages found here. Working on a data science project in Python that depends on a Julia Package to run correctly.
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