1
92%
master: 94%

Ran 08 Jul 2018 04:34PM UTC

Files 102

Run time 5s

Badge

Committed 08 Jul 2018 03:42PM UTC coverage: 91.666%. First build

Job # PYTHON=2.7 NUMPY=1.14.1 PANDAS=0.22.0 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='false'

Build Type

push

travis-ci

Committed by

mrocklin

Commit Message

Test that dask collections can hold scipy.sparse arrays

They can't do much with them because they don't support the ndarray
interface, but it's useful for dask-ml work that we can produce them and
then hand them off to dask.delayed or da.map_blocks workflows

Run Details

16004 of 17459 relevant lines covered (91.67%)

0.92 hits per line

Source Files on job 2400.1 (PYTHON=2.7 NUMPY=1.14.1 PANDAS=0.22.0 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='false')

mrocklin / dask / 2400 / 1
92%
master: 94%

README BADGES
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Source Files on job 2400.1 (PYTHON=2.7 NUMPY=1.14.1 PANDAS=0.22.0 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='false')

mrocklin / dask / 2400 / 1 92% master: 94%

README BADGES x

Markdown

Textile

RDoc

HTML

Rst

Source Files on job 2400.1 (PYTHON=2.7 NUMPY=1.14.1 PANDAS=0.22.0 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='false')

mrocklin / dask / 2400 / 1
92%
master: 94%

README BADGES
x