Travis: put code into file that's actually used

tests/install_travis.sh

-#!/bin/bash
-# This script is meant to be called by the "install" step defined in
-# .travis.yml. See http://docs.travis-ci.com/ for more details.
-# The behavior of the script is controlled by environment variabled defined
-# in the .travis.yml in the top level folder of the project.
-#
-# This script is inspired by Scikit-Learn (http://scikit-learn.org/)
-#
-# THIS SCRIPT IS SUPPOSED TO BE AN EXAMPLE. MODIFY IT ACCORDING TO YOUR NEEDS!
-
-set -e
-
-if [[ "$DISTRIB" == "conda" ]]; then
-    # Deactivate the travis-provided virtual environment and setup a
-    # conda-based environment instead
-    deactivate
-
-    if [[ -f "$HOME/miniconda/bin/conda" ]]; then
-        echo "Skip install conda [cached]"
-    else
-        # By default, travis caching mechanism creates an empty dir in the
-        # beginning of the build, but conda installer aborts if it finds an
-        # existing folder, so let's just remove it:
-        rm -rf "$HOME/miniconda"
-
-        # Use the miniconda installer for faster download / install of conda
-        # itself
-        wget http://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh \
-            -O miniconda.sh
-        chmod +x miniconda.sh && ./miniconda.sh -b -p $HOME/miniconda
-    fi
-    export PATH=$HOME/miniconda/bin:$PATH
-    # Make sure to use the most updated version
-    conda update --yes conda
-
-    # Configure the conda environment and put it in the path using the
-    # provided versions
-    # (prefer local venv, since the miniconda folder is cached)
-    conda create -p ./.venv --yes python=${PYTHON_VERSION} pip virtualenv
-    source activate ./.venv
-    alias pip3='python -m pip'
-    shopt -s expand_aliases
-fi
-
-if [[ "$CUDA_VERSION" == 10.1 ]]; then
-wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin
-sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600
-sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
-sudo add-apt-repository "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/ /"
-sudo apt-get update
-sudo apt-get -y install cuda
-sudo ldconfig
-export CUDA_HOME=/usr/local/cuda
-export PATH=/usr/local/cuda/bin:$PATH
-fi
-
-# for all
-pip3 install -U pip wheel setuptools
-pip3 install -U cppimport pybind11
-pip3 install tox
-pip3 install codecov
-pip3 install sphinx
-
-pip install flake8
-
-if [[ "$COVERAGE" == "true" ]]; then
-    pip3 install -U pytest-cov pytest-virtualenv coverage coveralls flake8
-fi
-
-
-travis-cleanup() {
-    printf "Cleaning up environments ... "  # printf avoids new lines
-    if [[ "$DISTRIB" == "conda" ]]; then
-        # Force the env to be recreated next time, for build consistency
-        source deactivate
-        conda remove -p ./.venv --all --yes
-        rm -rf ./.venv
-    fi
-    echo "DONE"
-}
-

tests/travis_install.sh

@@ -42,6 +42,17 @@ if [[ "$DISTRIB" == "conda" ]]; then
     shopt -s expand_aliases
 fi
 
+if [[ "$CUDA_VERSION" == "10.1" ]]; then
+wget https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/cuda-ubuntu1804.pin
+sudo mv cuda-ubuntu1804.pin /etc/apt/preferences.d/cuda-repository-pin-600
+sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub
+sudo add-apt-repository "deb http://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/ /"
+sudo apt-get update
+sudo apt-get -y install cuda
+sudo ldconfig
+export CUDA_HOME=/usr/local/cuda
+export PATH=/usr/local/cuda/bin:$PATH
+fi
 # for all
 pip3 install -U pip wheel setuptools
 pip3 install tox