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dask / dask / 10830 / 7
53%
master: 53%

Build:
DEFAULT BRANCH: master
Ran 19 Feb 2019 11:50PM UTC
Files 108
Run time 12s
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19 Feb 2019 07:57PM UTC coverage: 91.094% (+0.001%) from 91.093%
PYTHON=3.6 NUMPY=1.14.1 PANDAS=0.22.0 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='true'

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mrocklin
Propogate index metadata if not specified (#4509)

Several `dask.dataframe` functions take a `meta` kwarg. If not provided,
these functions try to infer the metadata based on the computation. If
provided, this inference is skipped. `meta` can be either a pandas
object, or a spec (tuple, list of tuples, or dict).

In the case of a spec, the index metadata isn't provided. Previously we
would default to the default pandas index, now we just copy over the
index metadata from the first pandas object passed to these functions.
In the case of `map_partitions`, `map_overlap`, `aca`, etc... this is
usually what the user wants.

17204 of 18886 relevant lines covered (91.09%)

0.91 hits per line

Source Files on job 10830.7 (PYTHON=3.6 NUMPY=1.14.1 PANDAS=0.22.0 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='true')
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Coverage ∆ File Lines Relevant Covered Missed Hits/Line
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