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Ran 18 Jun 2020 08:34PM UTC

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Committed 18 Jun 2020 08:23PM UTC coverage: 0.0%. Remained the same

Job # PKGS="python=3.7 ipython matplotlib nbsphinx numpy pandas jupyter_client ipykernel python-graphviz graphviz xarray sparse dask[complete] sphinx Pygments==2.3.1 docutils==0.14 alabaster commonmark==0.8.1 recommonmark==0.5.0"

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Merge #1120

1120: revise the unit computation for np.prod r=hgrecco a=keewis

#1087 left out the case where `axis` and `where` are specified and also used the size of the result to compute the output unit if only `axis` was specified. This changes that to use `a.shape[axis]` instead and also implements the support for both `axis` and `where` by broadcasting `where` against the array, applying `np.sum` along `axis` and using the only one unique value (`0` doesn't count) as an exponent. In case there's more than that, it will try to cast to `dimensionless`.

I'm not quite sure if using `np.broadcast_arrays` is the best way to get the exponents, though.

Edit: **Todo**: make the error message easier to understand

- [x] Closes #867
- [x] Executed ``black -t py36 . && isort -rc . && flake8`` with no errors
- [x] The change is fully covered by automated unit tests
- [ ] Documented in docs/ as appropriate
- [ ] Added an entry to the CHANGES file


Co-authored-by: Keewis <keewis@posteo.de>

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