7
91%
master: 94%

Ran 06 Mar 2019 06:16PM UTC

Files 108

Run time 334min

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Committed 06 Mar 2019 05:14PM UTC coverage: 91.1%. First build

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

mrocklin

Commit Message

Add ability to control number of unique elements in timeseries

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

17196 of 18876 relevant lines covered (91.1%)

0.91 hits per line

Source Files on job 2704.7 (PYTHON=3.6 NUMPY=1.14.1 PANDAS=0.22.0 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='true')

mrocklin / dask / 2704 / 7
91%
master: 94%

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Source Files on job 2704.7 (PYTHON=3.6 NUMPY=1.14.1 PANDAS=0.22.0 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='true')

mrocklin / dask / 2704 / 7 91% master: 94%

README BADGES x

Markdown

Textile

RDoc

HTML

Rst

Source Files on job 2704.7 (PYTHON=3.6 NUMPY=1.14.1 PANDAS=0.22.0 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='true')

mrocklin / dask / 2704 / 7
91%
master: 94%

README BADGES
x