3
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Ran 07 Mar 2019 04:11PM UTC

Files 108

Run time 10s

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Committed 07 Mar 2019 03:27PM UTC coverage: 91.096% (+0.001%) from 91.095%

Job # PYTHON=3.6 NUMPY=1.14.1 PANDAS=0.22.0 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='true'

Build Type

push

travis-ci

Committed by

web-flow

Commit Message

Add ability to control number of unique elements in timeseries (#4557)

This is useful when testing join algorithms, sometimes we want different
cardinalities for integer columns.

To generalize this we now allow passing keyword arguments directly to
individual column creation functions using a convention similar to that
used by scikit-learn parameters.

Run Details

17198 of 18879 relevant lines covered (91.1%)

0.91 hits per line

Source Files on job 10937.3 (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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Source Files on job 10937.3 (PYTHON=3.6 NUMPY=1.14.1 PANDAS=0.22.0 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='true')

dask / dask / 10937 / 3 53% master: 53%

README BADGES x

Markdown

Textile

RDoc

HTML

Rst

Source Files on job 10937.3 (PYTHON=3.6 NUMPY=1.14.1 PANDAS=0.22.0 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='true')

dask / dask / 10937 / 3
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master: 53%

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