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dask / dask / 10593
53%

Build:
DEFAULT BRANCH: master
Ran 15 Jan 2019 06:20PM UTC
Jobs 2
Files 105
Run time 32min
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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%)

1.82 hits per line

Jobs
ID Job ID Ran Files Coverage
3 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') 15 Jan 2019 06:20PM UTC 0
91.15
Travis Job 10593.3
7 10593.7 (PYTHON=3.6 NUMPY=1.14.1 PANDAS=0.22.0 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='true') 15 Jan 2019 06:53PM UTC 0
91.16
Travis Job 10593.7
Source Files on build 10593
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