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dask / dask / 10856 / 3
53%
master: 53%

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DEFAULT BRANCH: master
Ran 25 Feb 2019 08:44PM UTC
Files 108
Run time 27min
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25 Feb 2019 08:16PM UTC coverage: 91.085%. Remained the same
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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Modify mean chunk functions to return dicts rather than arrays (#4513)

These functions return two array chunks each:

1.  The sum of the array
2.  The counts of the array

We need to return these as a single intermediate value.

Previously we did this by constructing an empty numpy array and then
assigning into it.  This doesn't work as well with numpy-like arrays
like cupy and sparse.

Now we return a dict containing two arrays.  This is nice in a few ways,
but does mean that we need to replicate the `concatenate=`
functionality within our chunk aggregation and combine functions, which
can be tricky.  This commit fails to do it correctly, but may be a good
start.

After this we would like to implement the same fix for other functions,
notably the `moment_*` functions in this same reductions.py file.

Fixes https://github.com/dask/dask/issues/4481

17195 of 18878 relevant lines covered (91.08%)

0.91 hits per line

Source Files on job 10856.3 (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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