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UT-CHG / BET

Python package for data-consistent stochastic inverse and forward problems.
http://ut-chg.github.io/BET
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How we do installs #356

Closed mathematicalmichael closed 4 years ago

mathematicalmichael commented 5 years ago

Currently we are doing python setup.py install as per our README.

I propose we change this to pip install . since this will ACTUALLY downgrade packages that we version-lock. This explains a number of things, namely the issues involved in trying to debug any of #335 #355 #333, which were all in some way heavily dependent on scipy==1.2.1. version lock introduced in #337, and is related to the proposal to change travis in #322

By using pip install ., you can validate version-downgrades with ipython immediately using import and .__version as such:

import scipy
print(scipy.__version__)
mathematicalmichael commented 5 years ago

a PR to address this would include changes to

smattis commented 4 years ago

Yes, we should do this. Also, we should looking into adding to the Python Package Index and conda forge for version 3.

mathematicalmichael commented 4 years ago

I have been practicing packaging new projects and CI pipelines. I'll be ready with templates very soon.

mathematicalmichael commented 4 years ago

testing requirements will be stripped out and only installed for travis. running pip install . should not carry with it pytest