Setting up the Tutorial Environment on Seneca (NCAR)
The following instructions should be run if configuring the shell environment to run the METplus Tutorial on Seneca (NCAR). If you are running on your own computer or a NOAA machine that has been set up to run the tutorial, please go back and click the appropriate link for those instructions.
Create a Working Directory
Create a directory called 'METplus-5.0.0_Tutorial' to hold all of the files you will create during the tutorial. This can be any directory that you have write permission.
Create Directories for Configuration Files and Output Data
mkdir output
Obtain the Tutorial Setup Script
(OPTIONAL) Set up conda Environment for METplus Analysis and s2s Tutorial Sections
Due to the need for external package dependencies for the METplus Analysis and s2s sections, the following instructions are also necessary. If you do not plan on executing the commands of those sections, you can skip these steps.
First, ensure that you are running the bash environment:
Now, verify that you have a .condarc file in your /home/user directory. If the file does not exist, create one. In that file, you will need the following entries, in the exact same format (dashes and colons):
- defaults
- conda-forge
- anaconda
Verify that you are using the most recent version of anaconda3 in your .bashrc file. Verify that your conda_setup in your .bashrc file is using /usr/local/anaconda3/bin/conda. You should see a code block similar to following:
# !! Contents within this block are managed by 'conda init' !!
__conda_setup="$('/usr/local/anaconda3/bin/conda' 'shell.bash' 'hook'2> /dev/null)"
if [ $? -eq 0 ]; then
eval "$__conda_setup"
else
if [ -f "/usr/local/anaconda3/etc/profile.d/conda.sh" ]; then
. "/usr/local/anaconda3/etc/profile.d/conda.sh"
else
export PATH="/usr/local/anaconda3/bin:$PATH"
fi
fi
unset __conda_setup
# <<< conda initialize <<<
If you do have to make any changes to your .bashrc file, it would be best at this point to sign out, then sign back into your Seneca connection from the terminal. Errors have been found to happen even after sourcing your .bashrc file for the updated content.
From the command line, enter the following:
mamba -y
If this was successful, you will see the following at the end of the output streamed to the screen:
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
# $ conda activate metplus_analysis_tutorial_env
#
# To deactivate an active environment, use
#
# $ conda deactivate
This creates a basic Python 3.8 conda environment named ‘metplus_analysis_tutorial_env’ that contains mamba (to accelerate installing the remaining Python packages).
Activate this environment by running the following from the command line:
Install the following packages to the conda environment by running the following from the command line (using mamba to speed up the installation):
You will see many lines of information streaming to your screen. You will see following output to your screen if everything was successful:
Verifying transaction: done
Executing transaction: /
Installed package of scikit-learn can be accelerated using scikit-learn-intelex.
More details are available here: https://intel.github.io/scikit-learn-intelex
For example:
$ conda install scikit-learn-intelex
$ python -m sklearnex my_application.py
done
Now you are ready to run the METplus Analysis tutorials.
