Add COO.mean and sparse.nanmean #190
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- dtype=float16 tests fail for larger arrays. What numpy is doing to get their result isn't clear. For now we xfail. - Use larger arrays for the tests, as some numeric issues only show up on larger arrays (before there was a decent chance that only one element in an axis was nonzero). - Fix a few tests that weren't testing anything - Cleanup superfluous warnings
@@ Coverage Diff @@ ## master #190 +/- ## ========================================== - Coverage 97.52% 97.52% -0.01% ========================================== Files 11 11 Lines 1376 1416 +40 ========================================== + Hits 1342 1381 +39 - Misses 34 35 +1
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