I could successfully install protobuf in the emulated container. I have tried running the same snippet inside native and emulated docker containers. ImportError: cannot import name '_message' from ''Īnything else we should know about your project / environment ImportError: cannot import name '_message' from '' (/Users/home/Programming/python/protobuf/venv/lib/python3.9/site-packages/google/protobuf/pyext/_init_.py) (venv) ➜ python -c "from import _message" Installing collected packages: six, protobuf, pip Using cached six-1.16.0-py2.p圓-none-any.whl (11 kB) open finder locate terminal right click on the terminal icon click get info click open with rosetta open a new terminal use your normal package downloading method like 'pip3 install pandas' ) Updated Python via Homebrew (3.9. It's not impossible to install and use 3rd-party applications but there will be security pop-up that needs a little more than a password to get around.Requirement already satisfied: pip in. Many thanks to Andrey Senyaev without whose help this could not have been possible. It adds CI for native macOS M1 packages and supports python3.7, 3.8, and 3.9 builds. The newest update, Monterey 12.3, is hostile to 3rd party programs especially if Xcode is not installed. Welcome opencv-python for macOS on M1 Finally, after all the above struggles, we have a Pull Request which was merged recently. I can only speculate that Apple wants to eliminate the need for 3rd-party package managers and version managers like Homebrew, and pyenv and asdf, respectively. It appears that Apple's M1 chip has received a ton of support from the developer community over the past year, which makes me less inclined to sell my Mac Air for a Framework laptop. My docker-compose.yml file used for the Frontend and Backend.My Dockerfile used for the Django Backend.My Tutorial of getting started with Docker.If you must do it this way, here a few helpful links to the Github project that I was working on at the time to help you get started: But it's not the simplest or the fastest solution. ![]() Even adding a symlink to the specific libraries needed will not be sufficient enough to solve the problem.Īs I mentioned in the introduction, you can use Docker to containerize your application and ultimately install psycopg2. openssl, libpq, and other TLS/SSL packages will not be sufficient substitutes for the lack of SSL support for Python. If you install psycopg2 with this configuration, you will likely run into architectural issues with arm64.Īvoid using Homebrew or anything that was installed with Homebrew.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |