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I'm on macOS Ventura 13.1 (Apple M1 Pro) with Julia 1.8.5. When I run build PyCall, I get:
(@v1.8) pkg> build PyCall
Building Conda ─→ `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/6e47d11ea2776bc5627421d59cdcc1296c058071/build.log`
Building PyCall → `~/.julia/scratchspaces/44cfe95a-1eb2-52ea-b672-e2afdf69b78f/62f417f6ad727987c755549e9cd88c46578da562/build.log`
ERROR: Error building `PyCall`:
Collecting package metadata (current_repodata.json): ...working... done
Solving environment: ...working... done
# All requested packages already installed.
┌ Info: Using the Python distribution in the Conda package by default.
└ To use a different Python version, set ENV["PYTHON"]="pythoncommand" and re-run Pkg.build("PyCall").
[ Info: Running `conda install -y numpy` in root environment
ERROR: LoadError: Couldn't find libpython; check your PYTHON environment variable.
The python executable we tried was /Users/username/.julia/conda/3/bin/python (= version 3.10).
Re-building with
ENV["PYCALL_DEBUG_BUILD"] = "yes"
may provide extra information for why it failed.
Stacktrace:
[1] error(s::String)
@ Base ./error.jl:35
[2] find_libpython(python::String; _dlopen::typeof(Base.Libc.Libdl.dlopen))
@ Main ~/.julia/packages/PyCall/twYvK/deps/buildutils.jl:72
[3] find_libpython(python::String)
@ Main ~/.julia/packages/PyCall/twYvK/deps/buildutils.jl:40
[4] top-level scope
@ ~/.julia/packages/PyCall/twYvK/deps/build.jl:82
[5] include(fname::String)
@ Base.MainInclude ./client.jl:476
[6] top-level scope
@ none:5
in expression starting at /Users/username/.julia/packages/PyCall/twYvK/deps/build.jl:43
Looking around the web for a solution, I think the problem lies in Conda.jl not having selected the compatible architecture, somehow. At some point, I did in fact get the following error message when building PyCall: LoadError: could not load library "/Users/username/.julia/conda/3/lib/libpython3.10.dylib" dlopen(/Users/username/.julia/conda/3/lib/libpython3.10.dylib, 0x0009): tried: '/Users/username/.julia/conda/3/lib/libpython3.10.dylib' (mach-o file, but is an incompatible architecture (have 'x86_64', need 'arm64')), '/System/Volumes/Preboot/Cryptexes/OS/Users/username/.julia/conda/3/lib/libpython3.10.dylib' (no such file), '/Users/username/.julia/conda/3/lib/libpython3.10.dylib' (mach-o file, but is an incompatible architecture (have 'x86_64', need 'arm64')).
The text was updated successfully, but these errors were encountered:
Maybe you installed Conda with an earlier version of Julia that was running on Rosetta (x86 instruction), which no longer works now that you are using Julia running natively on ARM.
Try just deleting the conda installation and re-building, i.e. rm -rf /Users/username/.julia/conda.
I'm on macOS Ventura 13.1 (Apple M1 Pro) with Julia 1.8.5. When I run
build PyCall
, I get:Looking around the web for a solution, I think the problem lies in Conda.jl not having selected the compatible architecture, somehow. At some point, I did in fact get the following error message when building PyCall:
LoadError: could not load library "/Users/username/.julia/conda/3/lib/libpython3.10.dylib" dlopen(/Users/username/.julia/conda/3/lib/libpython3.10.dylib, 0x0009): tried: '/Users/username/.julia/conda/3/lib/libpython3.10.dylib' (mach-o file, but is an incompatible architecture (have 'x86_64', need 'arm64')), '/System/Volumes/Preboot/Cryptexes/OS/Users/username/.julia/conda/3/lib/libpython3.10.dylib' (no such file), '/Users/username/.julia/conda/3/lib/libpython3.10.dylib' (mach-o file, but is an incompatible architecture (have 'x86_64', need 'arm64')).
The text was updated successfully, but these errors were encountered: