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azure-pipelines.yml
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# Python package
# Create and test a Python package on multiple Python versions.
# Add steps that analyze code, save the dist with the build record, publish to a PyPI-compatible index, and more:
# https://docs.microsoft.com/azure/devops/pipelines/languages/python
pool:
vmImage: 'ubuntu-latest'
strategy:
matrix:
Python35:
python.version: '3.5'
Python36:
python.version: '3.6'
Python37:
python.version: '3.7'
steps:
- task: UsePythonVersion@0
inputs:
versionSpec: '$(python.version)'
displayName: 'Use Python $(python.version)'
- script: sudo apt-get update
displayName: 'Update Repos'
- script: sudo apt-get install openjdk-8-jre icedtea-8-plugin
displayName: 'Install OpenJDK8'
- script: pip install -r Tests/requirements_test.txt
displayName: 'Install Python Libaries'
- script: python setup.py sdist && pip install dist/pandas-bokeh-*
displayName: 'Build Python wheel & install Pandas Bokeh'
- script: pytest --color=yes -s -x -vv --cov-report term-missing --cov=pandas_bokeh Tests/
displayName: 'Run Pytest'