3581
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Ran 23 Jun 2016 03:04PM UTC

Jobs 2

Files 76

Run time 1min

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Build # 3581

Build Type

push

travis-ci

Committed by

mrocklin

Commit Message

Test setting the index with datetime with timezones, which is a pandas-defined dtype (#1315)

* Test setting the index with datetime with timezones, which is a pandas-defined dtype.

Also, when taking percentiles of integer values for repartitions, we do linear
interpolation, then round values back to the integer domain.  This will compress
better than floats during the `merge_and_compress_summaries` steps.  Hopefully
linear interpolation is a good choice compared to taking the nearest value.
It probably is in most situations.

* Don't assume ints are interpolated.  Other strategies are valid too.

Coverage Stats

9180 of 9787 relevant lines covered (93.8%)

1.87 hits per line

Jobs

ID	Job ID	Ran	Files	Coverage
1	3581.1 (PYTHON=2.7 NUMPY=1.10.4 PANDAS=0.17.0)	23 Jun 2016 03:05PM UTC	0	93.78	Travis Job 3581.1
2	3581.2 (PYTHON=2.7 NUMPY=1.11.0 PANDAS=0.18.0)	23 Jun 2016 03:04PM UTC	0	93.13	Travis Job 3581.2

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