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Description
By "cross-product matrix", I mean the scenario where you want to use the matrix
strategy on a cross-product of multiple dimensions. For example, say you want to run tests on 2 OS (Linux, Windows) and 2 versions of Python (3.6, 3.7). Currently, you'd need to manually create a matrix with all the combinations:
strategy:
matrix:
Linux_Python36:
VM_IMAGE: 'ubuntu-16.04'
PYTHON_VERSION: '3.6'
Linux_Python37:
VM_IMAGE: 'ubuntu-16.04'
PYTHON_VERSION: '3.7'
Windows_Python36:
VM_IMAGE: 'vs2017-win2016'
PYTHON_VERSION: '3.6'
Windows_Python37:
VM_IMAGE: 'vs2017-win2016'
PYTHON_VERSION: '3.7'
While this isn't too bad with a small number of dimensions and a small number of variables in each dimension, it can quickly become unmaintainable as the dimensions and variables grow. It would be nice if there was a way to express this more succinctly, something like:
strategy:
cross-product:
PYTHON_VERSION: [ '3.6', '3.7' ]
VM_IMAGE: [ `ubuntu-16.04`, `vs2017-win2016` ]
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