Install CUDA
This is actually not necessary. I have not yet understood whether few can use this library or not but I am leaving here the info just in case of.
I am leaving the $ out of the commands for the sake of the amazing copy and paste (TM)
sudo wget -O /etc/apt/preferences.d/cuda-repository-pin-600 \
https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/cuda-ubuntu2004.pin
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/7fa2af80.pub
sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
sudo add-apt-repository "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu2004/x86_64/ /"
sudo apt update
sudo apt install cuda
echo 'export PATH=/usr/local/cuda/bin${PATH:+:${PATH}}' >> ~/.zshrc
zsh
Check:
nvcc --version nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2022 NVIDIA Corporation Built on Wed_Jun__8_16:49:14_PDT_2022 Cuda compilation tools, release 11.7, V11.7.99 Build cuda_11.7.r11.7/compiler.31442593_0
Install Anaconda
sudo apt install libgl1-mesa-glx libegl1-mesa libxrandr2 libxrandr2 libxss1 libxcursor1 libxcomposite1 libasound2 libxi6 libxtst6
Download the last one from here
https://repo.anaconda.com/archive/
bash /tmp/Anaconda*
Check that zshrc has the same source as bashrc
Update just in case of
conda update -n base -c defaults conda
Install FEW
conda create -n few_env -c conda-forge gcc_linux-64 gxx_linux-64 wget gsl lapack=3.6.1 hdf5 numpy Cython scipy tqdm jupyter ipython h5py requests matplotlib python=3.7 conda activate few_env
git clone https://github.com/BlackHolePerturbationToolkit/FastEMRIWaveforms.git cd FastEMRIWaveforms
python setup.py install
And then check that it is doing what it is supposed to do
python -m unittest discover