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GeoscienceAustralia / fc / 275 / 1
52%
master: 51%

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Build:
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DEFAULT BRANCH: master
Ran 21 Nov 2019 05:27AM UTC
Files 7
Run time 1s
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21 Nov 2019 05:22AM UTC coverage: 51.884% (-0.09%) from 51.973%
275.1

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travis-ci

omad
Preserve xarray attributes when scaling USGS Coll2 data

This whole chain is pretty messy. Multiple steps which mask out
filled data. We can do it with either xarray or numpy functions,
but, xarray prefers float64 with NaNs, whereas numpy
prefers arrays masked with booleans. ¯\_(ツ)_/¯

303 of 584 relevant lines covered (51.88%)

0.52 hits per line

Source Files on job 275.1
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