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.travis.yml
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##############################################################################
#
# Copyright (C) 2011-2018 Dr Adam S. Candy and others.
#
# Shingle: An approach and software library for the generation of
# boundary representation from arbitrary geophysical fields
# and initialisation for anisotropic, unstructured meshing.
#
# Web: http://www.shingleproject.org
#
# Contact: Dr Adam S. Candy, [email protected]
#
# This file is part of the Shingle project.
#
# Please see the AUTHORS file in the main source directory for a full list
# of contributors.
#
# Shingle is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# Shingle is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with Shingle. If not, see <http://www.gnu.org/licenses/>.
#
##############################################################################
matrix:
include:
# Build Environment #1
#
# macOS 10.13 High Sierra pip base packages build
#
- env:
- NAME=HighSierra-10.13-pip
os: osx
language: generic
before_install:
# See pyenv homebrew recommendations <https://github.com/yyuu/pyenv/wiki#suggested-build-environment>.
# See https://docs.travis-ci.com/user/osx-ci-environment/#A-note-on-upgrading-packages.
# virtualenv needs pyenv knowledge.
# For pip: pyenv-virtualenv <https://github.com/yyuu/pyenv-virtualenv/blob/master/README.md>.
- brew update
- brew install openssl readline
- brew outdated pyenv || brew upgrade pyenv
- brew install pyenv-virtualenv
- pyenv install 2.7.15
- export PYENV_VERSION=2.7.15
- export PATH="/Users/travis/.pyenv/shims:${PATH}"
- pyenv virtualenv venv
install:
- python -m pip install -U pip
- pip install numpy==1.13.3
- pip install matplotlib pyproj shapely Pillow pytest requests
- pip install Pydap==3.2.1
- rm -f '/usr/local/include/c++'
- brew install gmsh
- brew link --overwrite gcc
- brew install netcdf
- pip install ScientificPython
before_script:
- export LD_LIBRARY_PATH="$HOME/build/shingleproject/Shingle/lib/:$LD_LIBRARY_PATH"
- export LIBRARY_PATH="$HOME/build/shingleproject/Shingle/lib/:$LIBRARY_PATH"
script:
- make
- make unittest
# Pre-download, to best work with Travis timeout
- make pre_download_large_datasets
- make test
# Build Environment #2
#
# Ubuntu Bionic 18.04 Docker container build and test
#
- env:
- NAME=Bionic-18.04-docker
services:
- docker
dist: xenial
language: cpp
install:
- docker build --build-arg repo="$TRAVIS_REPO_SLUG" --build-arg branch="$TRAVIS_BRANCH" -f Dockerfile_Bionic -t shingle .
script:
- docker run -a stdout -t shingle make unittest
# Pre-download, to best work with Travis timeout
- docker run -a stdout -t shingle make pre_download_large_datasets
- docker run -v $PWD:/run -w="/run" -a stdout -t shingle shingle -t
# Build Environment #3
#
# Ubuntu Xenial 16.04 Docker container build and test
#
- env:
- NAME=Xenial-16.04-docker
services:
- docker
dist: xenial
language: cpp
install:
- docker build --build-arg repo="$TRAVIS_REPO_SLUG" --build-arg branch="$TRAVIS_BRANCH" -f Dockerfile_Xenial -t shingle .
script:
- docker run -a stdout -t shingle make unittest
# Pre-download, to best work with Travis timeout
- docker run -a stdout -t shingle make pre_download_large_datasets
- docker run -v $PWD:/run -w="/run" -a stdout -t shingle shingle -t
# Build Environment #4
#
# Ubuntu Trusty 14.04 Docker container build and test
#
- env:
- NAME=Trusty-14.04-docker
services:
- docker
dist: xenial
language: cpp
install:
- docker build --build-arg repo="$TRAVIS_REPO_SLUG" --build-arg branch="$TRAVIS_BRANCH" -f Dockerfile_Trusty -t shingle .
script:
- docker run -a stdout -t shingle make unittest
# Pre-download, to best work with Travis timeout
- docker run -a stdout -t shingle make pre_download_large_datasets
- docker run -v $PWD:/run -w="/run" -a stdout -t shingle shingle -t
# Build Environment #5
#
# Ubuntu Xenial 16.04 apt base packages build and test
#
- env:
- NAME=Xenial-16.04-apt
dist: xenial
language: python
python: 2.7
sudo: required
compiler: gcc
addons:
apt:
packages:
- build-essential
- libnetcdf-dev
- netcdf-bin
- python-netcdf4
- python-setuptools
- python-dev
- python-pip
- python-scipy
- python-numpy
- python-netcdf4
- python-matplotlib
- python-shapely
- python-pyproj
- python-imaging
- python-py
- libgeos-c1v5
- libgeos-3.5.0
- libgeos-dev
- gmsh
- wget
virtualenv:
system_site_packages: true
install:
- sudo apt-get update
- sudo apt-get install -y git gcc g++ build-essential python-setuptools python-dev python-pip python-scipy python-numpy libnetcdf-dev netcdf-bin python-netcdf4 python-matplotlib python-shapely python-pyproj python-pil gmsh python-py libgeos-c1v5 libgeos-3.5.0 libgeos-dev wget
# Temporarily pdate dap and shapely with recent versions
- pip install -U pip setuptools
- pip install Pydap==3.2.1
- pip install Shapely==1.5.9
# Install ScientificPython
- pip install --force-reinstall --ignore-installed --no-cache-dir --no-binary ScientificPython ScientificPython
before_script:
- export LD_LIBRARY_PATH="$HOME/build/shingleproject/Shingle/lib/:$LD_LIBRARY_PATH"
- export LIBRARY_PATH="$HOME/build/shingleproject/Shingle/lib/:$LIBRARY_PATH"
- export LD_LIBRARY_PATH="/usr/lib/python2.7/dist-packages/Scientific/:$LD_LIBRARY_PATH"
- export LIBRARY_PATH="/usr/lib/python2.7/dist-packages/Scientific/:$LIBRARY_PATH"
- export PYTHONPATH="/usr/lib/python2.7/dist-packages/Scientific/:$PYTHONPATH"
script:
- make
- make unittest
# Pre-download, to best work with Travis timeout
- make pre_download_large_datasets
- make test
# Build Environment #6
#
# Ubuntu Trusty 14.04 apt base packages build and test
#
- env:
- NAME=Trusty-14.04-apt
dist: trusty
language: python
python: 2.7
sudo: required
compiler: gcc
addons:
apt:
packages:
- build-essential
- python-setuptools
- python-dev
- python-pip
- python-scipy
- python-numpy
- python-netcdf
- python-scientific
- python-matplotlib
- python-shapely
- python-pyproj
- python-pil
- gmsh
- python-pytest
- wget
virtualenv:
system_site_packages: true
install:
- sudo apt-get update
- sudo apt-get install -y git gcc g++ build-essential python-setuptools python-dev python-pip python-scipy python-numpy python-netcdf python-scientific python-matplotlib python-shapely python-pyproj python-pil gmsh python-pytest
- pip install -U pip setuptools
- pip install Pydap==3.2.1
- pip install Shapely==1.5.9
before_script:
- export LD_LIBRARY_PATH="$HOME/build/shingleproject/Shingle/lib/:$LD_LIBRARY_PATH"
- export LIBRARY_PATH="$HOME/build/shingleproject/Shingle/lib/:$LIBRARY_PATH"
- export LD_LIBRARY_PATH="/usr/lib/python2.7/dist-packages/Scientific/:$LD_LIBRARY_PATH"
- export LIBRARY_PATH="/usr/lib/python2.7/dist-packages/Scientific/:$LIBRARY_PATH"
- export PYTHONPATH="/usr/lib/python2.7/dist-packages/Scientific/:$PYTHONPATH"
script:
- make
- make unittest
# Pre-download, to best work with Travis timeout
- make pre_download_large_datasets
- make test
# Build Environment #7
#
# Ubuntu Precise 12.04 apt base packages build and test
#
- env:
- NAME=Precise-12.04-apt
dist: precise
language: python
python: 2.7
sudo: required
compiler: gcc
addons:
apt:
packages:
- build-essential
- python-setuptools
- python-dev
- python-pip
- python-scipy
- python-numpy
- python-scientific
- python-matplotlib
- python-shapely
- python-pyproj
- python-imaging
- python-requests
- gmsh
- python-py
- wget
virtualenv:
system_site_packages: true
install:
- sudo apt-get update
- sudo apt-get install -y git gcc g++ build-essential python-setuptools python-dev python-pip python-scipy python-numpy python-scientific python-matplotlib python-shapely python-pyproj python-imaging gmsh python-py
- pip install -U pip setuptools
- pip install Pydap==3.2.1
- pip install Shapely==1.5.9
before_script:
- export LD_LIBRARY_PATH="$HOME/build/shingleproject/Shingle/lib/:$LD_LIBRARY_PATH"
- export LIBRARY_PATH="$HOME/build/shingleproject/Shingle/lib/:$LIBRARY_PATH"
script:
- make
- make unittest
# Pre-download, to best work with Travis timeout
- make pre_download_large_datasets
- make test
# Build Environment #8
#
# Ubuntu Xenial 16.04 pip base packages build and test
#
- env:
- NAME=Xenial-16.04-pip
dist: xenial
language: python
python: 2.7
sudo: required
compiler: gcc
addons:
apt:
packages:
- libnetcdf-dev
- netcdf-bin
- python-netcdf4
- gmsh
- wget
virtualenv:
system_site_packages: true
install:
- pip install numpy matplotlib pyproj shapely Pillow pytest
- pip install Pydap==3.2.1
- pip install --force-reinstall --ignore-installed --no-cache-dir --no-binary ScientificPython ScientificPython
- pip install -U geos
- pip install --no-binary Shapely Shapely==1.5.9
before_script:
- export LD_LIBRARY_PATH="$HOME/build/shingleproject/Shingle/lib/:$LD_LIBRARY_PATH"
- export LIBRARY_PATH="$HOME/build/shingleproject/Shingle/lib/:$LIBRARY_PATH"
script:
- make
- make unittest
# Pre-download, to best work with Travis timeout
- make pre_download_large_datasets
- make test
# Build Environment #9
#
# Ubuntu Trusty 14.04 pip base packages build and test
#
- env:
- NAME=Trusty-14.04-pip
dist: trusty
language: python
python: 2.7
sudo: required
compiler: gcc
addons:
apt:
packages:
# Temporarily install apt Scientific
- python-netcdf
- python-scientific
- gmsh
- wget
virtualenv:
system_site_packages: true
install:
- pip install numpy matplotlib pyproj shapely Pillow pytest
- pip install Pydap==3.2.1
#- pip install ScientificPython
before_script:
- export LD_LIBRARY_PATH="$HOME/build/shingleproject/Shingle/lib/:$LD_LIBRARY_PATH"
- export LIBRARY_PATH="$HOME/build/shingleproject/Shingle/lib/:$LIBRARY_PATH"
script:
- make
- make unittest
# Pre-download, to best work with Travis timeout
- make pre_download_large_datasets
- make test
# Build Environment #10
#
# Ubuntu Precise 12.04 pip base packages build and test
#
- env:
- NAME=Precise-12.04-pip
dist: precise
language: python
python: 2.7
sudo: required
compiler: gcc
addons:
apt:
packages:
# Temporarily install apt Scientific
- python-netcdf
- python-scientific
- gmsh
- wget
virtualenv:
system_site_packages: true
install:
- pip install numpy matplotlib pyproj shapely Pillow pytest
- pip install Pydap==3.2.1
- pip install requests
#- pip install ScientificPython
before_script:
- export LD_LIBRARY_PATH="$HOME/build/shingleproject/Shingle/lib/:$LD_LIBRARY_PATH"
- export LIBRARY_PATH="$HOME/build/shingleproject/Shingle/lib/:$LIBRARY_PATH"
script:
- make
- make unittest
# Pre-download, to best work with Travis timeout
- make pre_download_large_datasets
- make test
# Build Environment #11
#
# Ubuntu Xenial 16.04 pip pypi
#
- env:
- NAME=Xenial-16.04-pypi
dist: xenial
language: python
python: 2.7
sudo: required
compiler: gcc
addons:
apt:
packages:
- libnetcdf-dev
- netcdf-bin
- python-netcdf4
- gmsh
- wget
virtualenv:
system_site_packages: true
install:
- pip install numpy matplotlib pyproj shapely Pillow pytest
- pip install Pydap==3.2.1
- pip install --force-reinstall --ignore-installed --no-cache-dir --no-binary ScientificPython ScientificPython
- pip install -U geos
- pip install --no-binary Shapely Shapely==1.5.9
- pip install Markdown>=2.0.1
- pip install shingle
script:
# Just test the cases that do not depend on the large RTopo dataset
- shingle -t test --tag continuous --tag -RTopo
# Build Environment #12
#
# macOS 10.13 High Sierra pip base packages build
#
- env:
- NAME=HighSierra-10.13-pypi
os: osx
language: generic
before_install:
# See pyenv homebrew recommendations <https://github.com/yyuu/pyenv/wiki#suggested-build-environment>.
# See https://docs.travis-ci.com/user/osx-ci-environment/#A-note-on-upgrading-packages.
# virtualenv needs pyenv knowledge.
# For pip: pyenv-virtualenv <https://github.com/yyuu/pyenv-virtualenv/blob/master/README.md>.
- brew update
- brew install openssl readline
- brew outdated pyenv || brew upgrade pyenv
- brew install pyenv-virtualenv
- pyenv install 2.7.15
- export PYENV_VERSION=2.7.15
- export PATH="/Users/travis/.pyenv/shims:${PATH}"
- pyenv virtualenv venv
install:
- python -m pip install -U pip
- pip install numpy==1.13.3
- pip install matplotlib pyproj shapely Pillow pytest requests
- pip install Pydap==3.2.1
- rm -f '/usr/local/include/c++'
- brew install gmsh
- brew link --overwrite gcc
- brew install netcdf
- pip install ScientificPython
- pip install Markdown>=2.0.1
- pip install shingle
script:
# Just test the cases that do not depend on the large RTopo dataset
- shingle -t test --tag continuous --tag -RTopo
notifications:
slack:
secure: RRdmxLqjwm5LVcHmeoLs+WAB8FhYEMb+riZMvAoVxt4/7FuSIvyil/oeL8KI7P7g/EPnN8hQlf7duyGwAaih/gWKd47vDnmhir7VbO6fe3zBVvX9TVa/kuqejGSnJlOPw6dFDMLoCqnJ08dwUWzvvAmCHr7wod16PfI557pqvAE=