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pydata / xarray / 4968
96%

Build:
DEFAULT BRANCH: master
Ran 06 Apr 2018 03:40PM UTC
Jobs 7
Files 85
Run time 15min
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isin: better docs, support older numpy and use dask.array.isin. (#2038)

* isin: better docs, support older numpy and use dask.array.isin.

I added a section to the indexing docs showing how to use `isin` with `where`
to do idnexing.

Adding support for older numpy turned out to be pretty easy, so I added a copy
of np.isin in npcompat.

This PR also makes use of dask.array.isin, so that we can support a dask array
properly as the second argument:
https://github.com/dask/dask/pull/3363

* lint

* more lint

* yet more lint

36 of 36 new or added lines in 5 files covered. (100.0%)

22139 of 22770 relevant lines covered (97.23%)

5.2 hits per line

Jobs
ID Job ID Ran Files Coverage
1 4968.1 (CONDA_ENV=py27-min) 06 Apr 2018 03:40PM UTC 0
69.17
Travis Job 4968.1
2 4968.2 (CONDA_ENV=py27-cdat+iris+pynio) 06 Apr 2018 03:45PM UTC 0
95.55
Travis Job 4968.2
3 4968.3 (CONDA_ENV=py34) 06 Apr 2018 03:41PM UTC 0
69.44
Travis Job 4968.3
4 4968.4 (CONDA_ENV=py35) 06 Apr 2018 03:48PM UTC 0
94.34
Travis Job 4968.4
5 4968.5 (CONDA_ENV=py36) 06 Apr 2018 03:47PM UTC 0
95.41
Travis Job 4968.5
7 4968.7 (CONDA_ENV=py36-hypothesis) 06 Apr 2018 03:47PM UTC 0
Travis Job 4968.7
8 4968.8 (CONDA_ENV=py36 EXTRA_FLAGS="--run-flaky --run-network-tests") 06 Apr 2018 03:55PM UTC 0
95.68
Travis Job 4968.8
Source Files on build 4968
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