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Ran 15 May 2019 10:24PM UTC

Files 108

Run time 5s

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Committed 15 May 2019 09:56PM UTC coverage: 90.73% (+0.006%) from 90.724%

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

TomAugspurger

Commit Message

Add support for rolling operations with larger window that partition size in DataFrames with Time-based index (#4248) (#4796)

* Added support for time rolling ops. with larger window than partitions

 - Swapped error checking for window larger than partitions with
 correct path for handling that situation
 - Added logic to calculate number of partitions needed for each rolling
 operation (for past rolling windows)
 - Updated graph calculation to ensure each task depends on the correct
 partitions
 - Added alternative row selection method to extract necessary rows for
 task given several partitions instead of just one
- Removed error checking test for larger window than partition.
- Added two new tests checking select rolling operations with windows larger than the partition size (one test for equally-sized partitions and one test for variable-sized partitions)

Run Details

17333 of 19104 relevant lines covered (90.73%)

0.91 hits per line

Source Files on job 11501.3 (PYTHON=3.6 NUMPY=1.15.1 PANDAS=0.23.4 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='true')

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Source Files on job 11501.3 (PYTHON=3.6 NUMPY=1.15.1 PANDAS=0.23.4 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='true')

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Source Files on job 11501.3 (PYTHON=3.6 NUMPY=1.15.1 PANDAS=0.23.4 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='true')

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