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| sha | message | author_date | committer_date | raw_author | raw_committer | repo | author | committer |
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| bbd25c65a874dfd505ab9df43f6109f6343e5f4d | Support for __array_function__ implementers (sparse arrays) [WIP] (#3117) * Support for __array_function__ implementers * Pep8 * Consistent naming * Check for NEP18 enabled and nep18 non-numpy arrays * Replace .values with .data * Add initial test for nep18 * Fix linting issues * Add parameterized tests * Internal clean-up of isnull() to avoid relying on pandas This version should be much more compatible out of the box with duck typing. * Add sparse to ci requirements * Moar tests * Two more patches for __array_function__ duck-arrays * Don't use coords attribute from duck-arrays that aren't derived from DataWithCoords * Improve checking for coords, and autopep8 * Skip tests if NEP-18 envvar is not set * flake8 * Update xarray/core/dataarray.py Co-Authored-By: Stephan Hoyer <shoyer@gmail.com> * Fix coords parsing * More tests * Add align tests * Replace nep18 tests with more extensive tests on pydata/sparse * Add xfails for missing np.result_type (fixed by pydata/sparse/pull/261) * Fix xpasses * Revert isnull/notnull * Fix as_like_arrays by coercing dense arrays to COO if any sparse * Make Variable.load a no-op for non-dask duck arrays * Add additional method tests * Fix utils.as_scalar to handle duck arrays with ndim>0 | 2019-08-05T18:44:43Z | 2019-08-05T18:44:43Z | 84e620c8a0c57a3b676a20d0134cbc5f75cefe5b | f10b21bed2846b879806f87039b77245b18e7671 | 13221727 | 1270651 | 1217238 |