NumPy 1.13.0

Highlights
* Operations like a + b + c will reuse temporaries on some platforms,
  resulting in less memory use and faster execution.
* Inplace operations check if inputs overlap outputs and create temporaries
  to avoid problems.
* New __array_ufunc__ attribute provides improved ability for classes to
  override default ufunc behavior.
* New np.block function for creating blocked arrays.

New functions
* New np.positive ufunc.
* New np.divmod ufunc provides more efficient divmod.
* New np.isnat ufunc tests for NaT special values.
* New np.heaviside ufunc computes the Heaviside function.
* New np.isin function, improves on in1d.
* New np.block function for creating blocked arrays.
* New PyArray_MapIterArrayCopyIfOverlap added to NumPy C-API.

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