Here I put the final solution. I tried many methods on my mac M1, the best method is re-install homebrew. Step1: /bin/bash -c “$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/uninstall.sh)” Step2: Install homebrew cd /opt mkdir homebrew # if not exist, just create one. curl -L https://github.com/Homebrew/brew/tarball/master | tar xz –strip 1 -C homebrew Then, the problem solved.
Update Mar 28 2022: Please see @AndrejHribernik’s comment below. How to install numpy on M1 Max, with the most accelerated performance (Apple’s vecLib)? Here’s the answer as of Dec 6 2021. Steps I. Install miniforge So that your Python is run natively on arm64, not translated via Rosseta. Download Miniforge3-MacOSX-arm64.sh, then Run the script, then … Read more
install new react-native global npm uninstall -g react-native-cli install new react-native global npm install -g react-native-cli npm install -g react-native and create project again npx react-native init AwesomeProject
It’s possible to install on regular arm64 brew python, you need to compile it yourself. If numpy is already installed (from wheels) you’ll need to uninstall it: pip3 uninstall -y numpy pythran I had to compile numpy, which requires cython and pybind11: pip3 install cython pybind11 Then numpy can be compiled: pip3 install –no-binary :all: … Read more
After hours of trial and error, I was finally able to solve this. My successful configuration is: Open terminal with Rosetta 2 (https://dev.to/courier/tips-and-tricks-to-setup-your-apple-m1-for-development-547g) Use non-homebrew python (mine was in /usr/bin/python3) to create virtual environment /usr/bin/python3 -m venv env source env/bin/activate Upgrade pip pip install –upgrade pip Install PyQt5 pip install PyQt5
Answering my own question. I fixed the ffi issue by uninstalling my faulty Ruby version and CocoaPods, then I used the -x86_64 arch to reinstall ffi and CocoaPods. These are the steps I did to get back to a working state (and to apply the M1 workarounds for ffi): Uninstall Ruby with: brew uninstall ruby … Read more
Distilling the official directions from Apple (as of 13 July 2022), one would create an environment using the following YAML: tf-metal-arm64.yaml name: tf-metal channels: – apple – conda-forge dependencies: – python=3.9 ## specify desired version – pip – tensorflow-deps ## uncomment for use with Jupyter ## – ipykernel ## PyPI packages – pip: – tensorflow-macos … Read more
Background Currently (2022-04-24), CRAN builds R 4.2 binaries for Apple silicon using Apple clang from Command Line Tools for Xcode 13.1 and using an experimental fork of GNU Fortran 12. If you obtain R from CRAN (i.e., here), then you need to replicate CRAN’s compiler setup on your system before building R packages that contain … Read more
Replace the avd system images you have downloaded with the r02 images. r03 is broken for me but reverting to r02 saved the day! Update: It appears r03, r04, and r05 all don’t work on m1 Google Play ARM 64 v8a System Image (revision: 2) Google APIs ARM 64 v8a System Image (revision: 2) With … Read more
Maybe it is too late. But the only solution worked for me is installing from source if you do not want to use rosetta2 or moniconda python3 -m pip install virtualenv virtualenv -p python3.8 venv source venv/bin/activate pip install –upgrade pip pip install numpy cython git clone –depth 1 https://github.com/pandas-dev/pandas.git cd pandas python3 setup.py install