Changelog
=========


0.2.0 / 2018-01-25
-------------------

-  Add Elementwise broadcasting and broadcast_to (:pr:`35`) `Hameer Abbasi`_
-  Add Bitwise ops (:pr:`38`) `Hameer Abbasi`_
-  Add slicing support for Ellipsis and None (:pr:`37`) `Matthew Rocklin`_
-  Add triu and tril and tests (:pr:`40`) `Hameer Abbasi`_
-  Extend gitignore file  (:pr:`42`) `Nils Werner`_
-  Update MANIFEST.in (:pr:`45`) `Matthew Rocklin`_
-  Remove auto densification and unify operator code (:pr:`46`) `Hameer Abbasi`_
-  Fix nnz for scalars (:pr:`48`) `Hameer Abbasi`_
-  Update README (:pr:`50`) (:pr:`53`) `Hameer Abbasi`_
-  Fix large concatenations and stacks (:pr:`50`) `Hameer Abbasi`_
-  Add __array_ufunc__ for __call__ and reduce (:pr:`r9`) `Hameer Abbasi`_
-  Update documentation (:pr:`54`) `Hameer Abbasi`_
-  Flake8 and coverage in pytest (:pr:`59`) `Nils Werner`_
-  Copy constructor (:pr:`55`) `Nils Werner`_
-  Add random function (:pr:`41`) `Nils Werner`_
-  Add lots of indexing features (:pr:`57`) `Hameer Abbasi`_
-  Validate .transpose axes (:pr:`61`) `Nils Werner`_
-  Simplify axes normalization logic `Nils Werner`_
-  User higher density for sparse.random in tests (:pr:`64`) `Keisuke Fujii`_
-  Support left-side np.number elemwise operations (:pr:`67`) `Keisuke Fujii`_
-  Support len on COO (:pr:`68`) `Nils Werner`_
-  Update scipy version in requirements (:pr:`70`) `Hameer Abbasi`_
-  Documentation (:pr:`43`) `Nils Werner`_ and `Hameer Abbasi`_
-  Use Tox for cross Python-version testing (:pr:`77`) `Nils Werner`_
-  Support mixed sparse-dense when result is sparse (:pr:`75`) `Hameer Abbasi`_
-  Update contributing.rst (:pr:`76`) `Hameer Abbasi`_
-  Size and density properties (:pr:`69`) `Nils Werner`_
-  Fix large sum (:pr:`83`) `Hameer Abbasi`_
-  Add DOK (:pr:`85`) `Hameer Abbasi`_
-  Implement __array__ protocol (:pr:`87`) `Matthew Rocklin`_

.. _`Matthew Rocklin`: https://github.com/mrocklin
.. _`Hameer Abbasi`: https://github.com/hameerabbasi
.. _`Nils Werner`: https://github.com/nils-werner
.. _`Keisuke Fujii`: https://github.com/fujiisoup
