Users/hiroki/.pyenv/versions/miniforge3-4.10.1-5/envs/omero/lib/python3.9/site-packages/IcePy.cpython-39-darwin. Users/hiroki/.pyenv/versions/miniforge3-4.10.1-5/envs/omero/lib/python3.9/site-packages/: mach-o, but wrong architecture ImportError: dlopen(/Users/hiroki/.pyenv/versions/miniforge3-4.10.1-5/envs/omero/lib/python3.9/site-packages/, 2): no suitable image found. I installed ice with brew and pip install zeroc-iceĪfter git clone omero-py, I was able to install omero-py by deleting zeroc-ice> import omero.clientsįile "/Users/hiroki/trial/omero/omero-py/target/omero/_init_.py", line 17, in įile "/Users/hiroki/.pyenv/versions/miniforge3-4.10.1-5/envs/omero/lib/python3.9/site-packages/Ice/_init_.py", line 42, in Now that Anaconda is natively supporting M1 Macs with their 2022.05 release, I was wondering what the best way to install tensorflow on these machines is. ImportError: dlopen(/Users/piotrsobolewski/Dev/miniforge3/envs/ice-test/lib/python3.9/site-packages/, 0x0002): tried: '/Users/piotrsobolewski/Dev/miniforge3/envs/ice-test/lib/python3.9/site-packages/' (mach-o file, but is an incompatible architecture (have 'x86_64', need 'arm64e')), '/usr/local/lib/' (no such file), '/usr/lib/' (no such file) Good news! with the new conda-forge packages this works with miniforge3 native arm64 conda: conda create -y -n ice-test python=3.9īut, alas something isn’t crosscompiled properly: > import omero.clientsįile "/Users/piotrsobolewski/Dev/miniforge3/envs/ice-test/lib/python3.9/site-packages/omero/_init_.py", line 17, in įile "/Users/piotrsobolewski/Dev/miniforge3/envs/ice-test/lib/python3.9/site-packages/Ice.py", line 47, in
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