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appveyor.yml
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appveyor.yml
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environment:
# There is no need to run the build for all the Python version /
# architectures combo as the generated nistats wheel is the same on all
# platforms (universal wheel).
# We run the tests on 2 different target platforms for testing purpose only.
# We use miniconda versions of Python provided by appveyor windows images
matrix:
- PYTHON: "C:\\Miniconda-x64"
PYTHON_VERSION: "2.7.x"
PYTHON_ARCH: "64"
- PYTHON: "C:\\Miniconda35-x64"
PYTHON_VERSION: "3.5.x"
PYTHON_ARCH: "64"
install:
# Prepend miniconda installed Python to the PATH of this build
# Add Library/bin directory to fix issue
# https://github.com/conda/conda/issues/1753
- "SET PATH=%PYTHON%;%PYTHON%\\Scripts;%PYTHON%\\Library\\bin;%PATH%"
# Check that we have the expected version and architecture for Python
- "python --version"
- "python -c \"import struct; print(struct.calcsize('P') * 8)\""
# Installed prebuilt dependencies from conda
# a temporary work around with failures related to matplotlib 2.1.0
# See similar fix which made for travis and circleci
# https://github.com/nilearn/nilearn/pull/1525
# Should be removed after a new matplotlib release 2.1.1
- "conda install pip numpy scipy scikit-learn nose wheel matplotlib boto3 pandas patsy -y -q"
- "conda install nilearn -c conda-forge -y -q"
# Install other nistats dependencies
- "pip install nibabel coverage nose-timer"
- "python setup.py bdist_wheel"
- ps: "ls dist"
# Install the generated wheel package to test it
- "pip install --pre --no-index --find-links dist/ nistats"
# Not a .NET project, we build in the install step instead
build: false
test_script:
# Change to a non-source folder to make sure we run the tests on the
# installed library.
- "cd C:\\"
- "python -c \"import nose; nose.main()\" -v -s nistats --with-timer --timer-top-n 50"
artifacts:
# Archive the generated packages in the ci.appveyor.com build report.
- path: dist\*
#on_success:
# - TODO: upload the content of dist/*.whl to a public wheelhouse