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dask / dask / 10593 / 3
53%
master: 53%

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DEFAULT BRANCH: master
Ran 15 Jan 2019 06:20PM UTC
Files 105
Run time 14s
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15 Jan 2019 04:30PM UTC coverage: 91.148%. 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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Calling np.dtype on a delayed object works (#4387)

* Calling np.dtype on a delayed object works

Calling `np.dtype(dask.delayed(...))` used to result in a segfault, as
numpy recursively tries to get `dtype` from the object. This is likely a
bug in numpy. For now, we can do a dumb for if `x.dtype().dtype()` is
called (which shouldn't ever show up in real code).

See https://github.com/dask/dask/pull/4374#issuecomment-454381465.

* Add test that dtype attribute still works if computed

17072 of 18730 relevant lines covered (91.15%)

0.91 hits per line

Source Files on job 10593.3 (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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