2
94%
master: 94%

Ran 23 Jun 2019 07:36AM UTC

Files 111

Run time 3min

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Committed 23 Jun 2019 06:54AM UTC coverage: 90.806% (-0.004%) from 90.81%

Job # PYTHON=3.6 NUMPY=1.15.1 PANDAS=0.23.4 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='true'

Build Type

push

travis-ci

Committed by

web-flow

Commit Message

Move blockwise_meta to more general compute_meta function (#4954)

* Move blockwise_meta to more general compute_meta function
* improve handling around meta.astype

1.  We now allow non-array meta.  This ends up being common in temporary
    arrays for gufuncs and reductions
2.  Users can now specify explicit meta= in blockwise
3.  We no longer expect metas to support the astype method

* properly support gufuncs
* Use numpy sum function rather than method
* Test that metadata of an h5py dataset is a numpy array
* Add meta= keyword to from_array
* Support meta as type input

Run Details

18390 of 20252 relevant lines covered (90.81%)

0.91 hits per line

Source Files on job 2870.2 (PYTHON=3.6 NUMPY=1.15.1 PANDAS=0.23.4 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='true')

mrocklin / dask / 2870 / 2
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master: 94%

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Source Files on job 2870.2 (PYTHON=3.6 NUMPY=1.15.1 PANDAS=0.23.4 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='true')

mrocklin / dask / 2870 / 2 94% master: 94%

README BADGES x

Markdown

Textile

RDoc

HTML

Rst

Source Files on job 2870.2 (PYTHON=3.6 NUMPY=1.15.1 PANDAS=0.23.4 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='true')

mrocklin / dask / 2870 / 2
94%
master: 94%

README BADGES
x