requirements.txt

# Code used to create autotuning conda environment

# Get E3SM base environment
source /lcrc/soft/climate/e3sm-unified/load_e3sm_unified_1.7.1_chrysalis.sh # for chrysalis only
# source /global/common/software/e3sm/anaconda_envs/load_e3sm_unified_1.8.0_pm-cpu.sh # for perlmutter only

# probably not needed, just because I installed tesuract before using conda
export PYTHONNOUSERSITE=1

# clone E3SM environment
conda create --name autotuning --clone e3sm_unified_1.7.1_chrysalis
# conda create --name autotuning --clone e3sm_unified_1.8.0_nompi
conda activate autotuning  

# install remaining packages
~/.conda/envs/autotuning/bin/pip install tesuract
#~/.conda/envs/autotuning/bin/pip install clif
git clone https://github.com/sandialabs/clif ~/clif
~/.conda/envs/autotuning/bin/pip install ~/clif/
~/.conda/envs/autotuning/bin/pip install prettytable
~/.conda/envs/autotuning/bin/pip install emcee
~/.conda/envs/autotuning/bin/pip install tools
~/.conda/envs/autotuning/bin/pip install corner
~/.conda/envs/autotuning/bin/pip install h5py

# save environment
conda env export > autotuning_environment.yml
conda list --explicit > autotuning_spec_file.txt