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appveyor.yml
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appveyor.yml
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# AppVeyor.com is a Continuous Integration service to build and run tests under
# Windows
environment:
global:
# SDK v7.0 MSVC Express 2008's SetEnv.cmd script will fail if the
# /E:ON and /V:ON options are not enabled in the batch script interpreter
# See: https://stackoverflow.com/a/13751649/163740
CMD_IN_ENV: "cmd /E:ON /V:ON /C .\\ci_scripts\\appveyor\\run_with_env.cmd"
matrix:
- PYTHON: "C:\\Python27"
PYTHON_VERSION: "2.7.8"
PYTHON_ARCH: "32"
MINICONDA: "C:\\Miniconda"
- PYTHON: "C:\\Python27-x64"
PYTHON_VERSION: "2.7.8"
PYTHON_ARCH: "64"
MINICONDA: "C:\\Miniconda-x64"
- PYTHON: "C:\\Python35"
PYTHON_VERSION: "3.5.0"
PYTHON_ARCH: "32"
MINICONDA: "C:\\Miniconda35"
- PYTHON: "C:\\Python35-x64"
PYTHON_VERSION: "3.5.0"
PYTHON_ARCH: "64"
MINICONDA: "C:\\Miniconda35-x64"
install:
# Miniconda is pre-installed in the worker build
- "SET PATH=%MINICONDA%;%MINICONDA%\\Scripts;%PATH%"
- "python -m pip install -U pip"
# Check that we have the expected version and architecture for Python
- "python --version"
- "python -c \"import struct; print(struct.calcsize('P') * 8)\""
- "pip --version"
# Remove cygwin because it clashes with conda
# see https://help.appveyor.com/discussions/problems/3712-git-remote-https-seems-to-be-broken
- rmdir C:\\cygwin /s /q
# Update previous packages and install the build and runtime dependencies of the project.
# XXX: setuptools>23 is currently broken on Win+py3 with numpy
# (https://github.com/pypa/setuptools/issues/728)
- conda update --all --yes setuptools=23
- conda install --quiet --yes numpy scipy cython nose scikit-learn wheel"
- conda install --quiet --yes -c conda-forge sklearn-contrib-lightning
# there seems to be a problem with conda-build 1.21.0 on python27 and win64, avoid this
# by using a previous version
- conda install --quiet --yes conda-build=1.21.0
- "%CMD_IN_ENV% python setup.py bdist_wheel bdist_wininst"
- ps: "ls dist"
# # build the conda package
# - "%CMD_IN_ENV% conda build build_tools/conda-recipe --quiet"
#
# # Move the conda package into the dist directory, to register it
# # as an "artifact" for Appveyor. cmd.exe does't have good globbing, so
# # we'll use a simple python script.
# - python build_tools/move-conda-package.py build_tools/conda-recipe
#
# # Install the generated wheel package to test it
- "pip install --pre --no-index --find-links dist/ polylearn"
# Not a .NET project, we build scikit-learn 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.
- "mkdir empty_folder"
- "cd empty_folder"
- "python -c \"import nose; nose.main()\" -s -v polylearn"
# Move back to the project folder
- "cd .."
artifacts:
# Archive the generated wheel package in the ci.appveyor.com build report.
- path: dist\*
cache:
- '%APPDATA%\pip\Cache'