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dask / dask / 5427 / 1
53%
master: 53%

Build:
DEFAULT BRANCH: master
Ran 28 Feb 2017 12:10PM UTC
Files 87
Run time 4s
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28 Feb 2017 12:17AM UTC coverage: 92.199%. Remained the same
PYTHON=2.7 NUMPY=1.10.4 PANDAS=0.19.0 COVERAGE='true' PARALLEL='false' TEST_IMPORTS='false' XTRATESTARGS=

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Faster categorize (#2010)

* Faster categorize

Implement categorize using a custom reduction. This is faster for both
threading and distributed, and significantly faster for multiprocessing.
Fixes #2008.

* A few tweaks to categorize

- Set default split_every to 16
- Add test for bad split_every
- Rearrange imports so `categorical.py` can be imported from `core.py`,
  removing need to duplicate documentation

11889 of 12895 relevant lines covered (92.2%)

0.92 hits per line

Source Files on job 5427.1 (PYTHON=2.7 NUMPY=1.10.4 PANDAS=0.19.0 COVERAGE='true' PARALLEL='false' TEST_IMPORTS='false' XTRATESTARGS=)
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Coverage ∆ File Lines Relevant Covered Missed Hits/Line
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