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[MRG] Enable Azure pipelines for builds with uploads to anaconda.org #23
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Enable Azure fully
adrinjalali
reviewed
Feb 12, 2020
| py_3.8_32: | ||
| MB_PYTHON_VERSION: "3.8" | ||
| PLAT: "i686" | ||
| NP_BUILD_DEP: "numpy==1.17.3" |
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don't wanna use oldest-supported-numpy ?
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oldest-supported-numpy that also works on Python 3.8.
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Why aren't the azure pipelines running here? |
I need admin rights to create the project on azure under the scikit-learn org. I will sent and email on the internal mailing list. |
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If you want to see example runs for the current state of this branch, have a look at my test azure devops account: https://dev.azure.com/ogrisel2/scikit-learn-wheels/_build?definitionId=2&_a=summary |
Where? |
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Ok let's merge. I will use my Azure account for the master branch of this repo for now. |
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This PR reproduces the current behavior of our travis + appveyor setup. You can see the pipeline here.
With some tweaks to this PR, I can see placing this pipeline into the main scikit-learn repo and have it automatically push the wheels into pypi when a tag is added.
Alternatively we could just move the repo to the scikit-learn org.
For this pipeline to upload to anaconda
SCIKIT_LEARN_NIGHTLY_UPLOAD_TOKENandSCIKIT_LEARN_STAGING_UPLOAD_TOKENneeds to be defined as a secret variables.Edit: updated by @ogrisel to reflect the changes related to the switch from rackspace to anaconda.org.
This branch has been tested on this Azure Pipelines account:
https://dev.azure.com/ogrisel2/scikit-learn-wheels/_build?definitionId=2&_a=summary
We need to create a new project in the scikit-learn org for the final branch to work:
https://dev.azure.com/scikit-learn/scikit-learn-wheels