algorithm-reference-library/scripts/build-arl-csd3.sh at feature-gitlab-ci · SKA-ScienceDataProcessor/algorithm-reference-library

Repository navigation

#!/bin/bash

# =================================================== #

# Set of comands to Install arl and wrapper into CSD3 #

# =================================================== #

# Load the modules

#module load python-3.5.2-gcc-5.4.0-rdp6q5l

module load python-3.6.1-gcc-5.4.0-23fr5u4

module load git-2.14.1-gcc-5.4.0-acb553e

module load git-lfs-2.3.0-gcc-5.4.0-oktvmkw

module load cfitsio-3.410-gcc-5.4.0-tp3pkyv

# Clone the repository

#git clone https://github.com/SKA-ScienceDataProcessor/algorithm-reference-library/

#cd algorithm-reference-library/

# Get the data

git-lfs pull

# Start the building ARL through building a python virtualenvironment

virtualenv -p `which python3` _build

source _build/bin/activate

pip install --upgrade pip

pip install -U setuptools

pip install coverage numpy

pip install -r requirements.txt

# Install mpi4py

pip install mpi4py

pip install virtualenvwrapper

echo 'Adding the arl and ffiwrappers path to the virtual environment'

echo '(equivalent to setting up PYTHONPATH environment variable)'

# this updates

# _build/lib/python3.x/site-packages/_virtualenv_path_extensions.pth

source virtualenvwrapper.sh

add2virtualenv $PWD

add2virtualenv $PWD/ffiwrappers/src/

# This is required for some systems (i.e. Jenkins server or macos) others

# detect the python libraries alone and link with correct flags without setting

# up

# the flags explicitely

export LDFLAGS="$(python3-config --ldflags) -lcfitsio"

python setup.py install

# Test the ffiwrappers

export ARLROOT=$PWD