python-sparse-0.3.1-bp151.1.2

- Remove superfluous devel dependency for noarch package

- Update descriptions.

- Update to 0.3.1
  * 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:`49`) `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`_
- spec file cleanups

- update to version 0.1.1:
  * Add @ operator (simplify) (#16)
  * Opt in to caching
  * Cache reshape and transpose
  * Add tocsr method and sorted checking
  * Fix windows errors around int/long
  * use elemwise_binary in __add__
  * Fix bug in large reductions
  * Add out= keywords to ufuncs

- Initial version

- Update to 0.11.2
  * Fix TypingError on sparse.dot with complex dtypes. (Issue #403,
    PR #404)
- Changelog for 0.11.1
  * Fix ValueError on sparse.dot with extremely small values.
    (Issue #398, PR #399)
- Changelog for 0.11.0
  * Improve the performance of sparse.dot. (Issue #331, PR #389,
    thanks @daletovar)
  * Added the COO.swapaxes method. (PR #344, thanks @lueckem)
  * Added multi-axis 1-D indexing support. (PR #343, thanks
    @mikeymezher)
  * Fix outer for arrays that weren’t one-dimensional. (Issue #346,
    PR #347)
  * Add casting kwarg to COO.astype. (Issue #391, PR #392)
  * Fix for COO constructor accepting invalid inputs. (Issue #385,
    PR #386)
  - Changelog for 0.10.0
  * Fixed a bug where converting an empty DOK array to COO leads to
    an incorrect dtype. (Issue #314, PR #315)
  * Change code formatter to black. (PR #284)
  * Add COO.flatten and sparse.outer. (Issue #316, PR #317).
  * Remove broadcasting restriction between sparse arrays and dense
    arrays. (Issue #306, PR #318)
  * Implement deterministic dask tokenization. (Issue #300, PR
    [#320], thanks @danielballan)
  * Improve testing around densification (PR #321, thanks
    @danielballan)
  * Simplify Numba extension. (PR #324, thanks @eric-wieser).
  * Respect copy=False in astype (PR #328, thanks @eric-wieser).
  * Replace linear_loc with ravel_multi_index, which is 3x faster.
    (PR #330, thanks @eric-wieser).
  * Add error msg to tensordot operation when ndim==0 (Issue #332,
    PR #333, thanks @guilhermeleobas).
  * Maintainence fixes for Sphinx 3.0 and Numba 0.49, and dropping
    support for Python 3.5. (PR #337).
  * Fixed signature for numpy.clip.
- Changelog for 0.9.1
  * Fixed a bug where indexing with an empty list could lead to
    issues. (Issue #281, PR #282)
  * Change code formatter to black. (PR #284)
  * Add the diagonal and diagonalize functions. (Issue #288, PR
    [#289], thanks @pettni)
  * Add HTML repr for notebooks. (PR #283, thanks @daletovar)
  * Avoid making copy of coords when making a new COO array.
  * Add stack and concatenate for GCXS. (Issue #301, PR #303,
    thanks @daletovar).
  * Fix issue where functions dispatching to an attribute access
    wouldn’t work with __array_function__. (Issue #308, PR #309).
  * Add partial support for constructing and mirroring COO objects
    to Numba.
- add sparse-pr421-fix-cootype.patch
  * gh#pydata/sparse#420
  * gh#pydata/sparse#421

- Update to 0.8.0
  * Fixed a bug where an array with size == 1 and nnz == 0
    could not be broadcast.
  * Add ``std`` and ``var``.
  * Move to Azure Pipelines with CI for Windows, macOS and
    Linux.
  * Add ``resize``, and change ``reshape`` so it raises a
    ``ValueError`` on shapes that don't correspond to the
    same size.
  * Add ``isposinf`` and ``isneginf``.
  * Fix ``tensordot`` when nnz = 0.
  * Modifications to ``__array_function__`` to allow for sparse
    XArrays.
  * Add not-yet-public support for GCXS.
  * Improvements to ``__array_function__``.
  * Convert all Numba lists to typed lists.
  * Why write code when it exists elsewhere?
  * Fix some element-wise operations with scalars.
  * Private modules should be private, and tests should be in the package.

- version update to 0.7.0
  * python3-only package, for other changes see changelog.rst