1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
|
if [[ "$DISTRIB" == "conda" ]]; then
# Deactivate the travis-provided virtual environment and setup a
# conda-based environment instead
if [ $TRAVIS_OS_NAME = 'linux' ]; then
# Only Linux has a virtual environment activated; Mac does not.
deactivate
fi
# Use the miniconda installer for faster download / install of conda
# itself
pushd .
cd
mkdir -p download
cd download
echo "Cached in $HOME/download :"
ls -l
echo
# For now, ignoring the cached file.
# if [[ ! -f miniconda.sh ]]
# then
if [ $TRAVIS_OS_NAME = 'osx' ]; then
# MacOS URL found here: https://docs.conda.io/en/latest/miniconda.html
wget \
https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh \
-O miniconda.sh
else
wget \
http://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh \
-O miniconda.sh
fi
# fi
chmod +x miniconda.sh && ./miniconda.sh -b -p $HOME/miniconda
cd ..
export PATH=$HOME/miniconda/bin:$HOME/miniconda3/bin:$PATH
conda update --yes conda
popd
# Configure the conda environment and put it in the path using the
# provided versions
# conda create -n testenv --yes python=$PYTHON_VERSION pip \
# numpy=$NUMPY_VERSION scipy=$SCIPY_VERSION numba=$NUMBA_VERSION scikit-learn \
# pytest "tensorflow-mkl>=2.2.0"
if [ $TRAVIS_OS_NAME = 'osx' ]; then
conda create -q -n testenv --yes python=$PYTHON_VERSION numpy scipy scikit-learn \
numba pytest pandas
# pip install bokeh
# pip install datashader
# pip install holoviews
conda install --yes "tensorflow>=2.0.0"
else
conda create -q -n testenv --yes python=$PYTHON_VERSION numpy scipy scikit-learn \
numba pandas bokeh holoviews datashader scikit-image pytest pytest-benchmark \
"tensorflow-mkl>=2.2.0"
fi
source activate testenv
# black requires Python 3.x; don't try to install for Python 2.7 test
if [[ "$PYTHON_VERSION" != "2.7" ]]; then
pip install black
pip install pynndescent
fi
if [[ "$COVERAGE" == "true" ]]; then
pip install coverage coveralls
pip install pytest-cov pytest-benchmark # pytest coverage plugin
fi
python --version
python -c "import numpy; print('numpy %s' % numpy.__version__)"
python -c "import scipy; print('scipy %s' % scipy.__version__)"
python -c "import numba; print('numba %s' % numba.__version__)"
python -c "import sklearn; print('scikit-learn %s' % sklearn.__version__)"
python setup.py develop
else
pip install pynndescent # test with optional pynndescent dependency
pip install pandas
pip install bokeh
pip install datashader
pip install matplotlib
pip install holoviews
pip install scikit-image
pip install "tensorflow>=2.2.0"
pip install -e .
fi
|
