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fix compatibility with scikit-learn by dropping dependency from sklearn.testing #158
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@mblondel Will appreciate your review. |
It's better to never use |
It's probably easier to start over. You just need to replace the imports. |
What makes you think so? Is it just a personal matter of taste or you have some links? |
The |
fwiw i think in pytest this is no longer needed and plain asserts give good messages, maybe this changed in nose at some point? |
I don't think so... In all modern testing utilities pure @mblondel Will you consider switching from FYI, I'm currently working on improving CI by adding new Python versions #161 and
😃 |
Fixed #156.
Use normal
assert
s and ones fromnumpy.testing
module where normal ones cannot be used (approx, arrays, raises).