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pydata / xarray / 3383 / 10
96%
master: 96%

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DEFAULT BRANCH: master
Ran 25 Jul 2017 06:02PM UTC
Files 67
Run time 3s
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25 Jul 2017 05:42PM UTC coverage: 93.237% (+0.001%) from 93.236%
CONDA_ENV=py36-bottleneck-dev

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jhamman
Speed up `decode_cf_datetime` (#1414)

* Speed up `decode_cf_datetime`

Instead of casting the input numeric dates to float, they are
casted to nanoseconds as integer which makes `pd.to_timedelta()`
work much faster (x100 speedup on my machine)

* Moved _NS_PER_TIME_DELTA to top of module file

* Added entry to `whats-new.rst`

15964 of 17122 relevant lines covered (93.24%)

0.93 hits per line

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