algorithm-reference-library/scripts/build-arl-linux-new.sh at master · rtobar/algorithm-reference-library

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#!/bin/bash

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

# Set of comands to Install arl and wrapper into Linux system #

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

# If dependency environment modules are loaded and repository is already cloned

# this file can be sources from arlroot and should build the system

# i.e. algorithm-reference-library> source scripts/build-arl-linux-new.sh

# Load the dependency modules

# PYTHON 3.6 +

# GIT 2.10+

# GIT-LFS

# i.e.:

#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

pip install virtualenvwrapper

source virtualenvwrapper.sh

# Build the ARL and C Wrappers (FFI) if possible

python setup.py install

# Add ARL to the PATH

# An alternative if not using virtualenv is to:

# export PYTHONPATH=$PWD:$PWD/ffiwrappers/src:$PYTHONPATH

add2virtualenv $PWD

add2virtualenv $PWD/ffiwrappers/src

# Setup ARLROOT

export ARLROOT=$PWD

# Test it

cd workflows/ffiwrapped/serial

make run

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