dask
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dask
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jakirkhamFixed mean() and moment() on sparse arrays (#4525) * Fixed mean() and moment() on sparse arrays For proper creation of sparse auxiliary arrays, a dispatcher for ones_like has been added. However, sparse arrays created from ones_like cause sparse reductions to fail, as it would result in a dense array. To fix that, the arrays have first to be converted to dense before, which ends up requiring a new dispatcher for that purpose, and for already dense arrays must be bypassed, that is here implemented as numpy.ndarray.view() to simply return a shallow copy of the array. This commit fixes https://github.com/dask/dask/issues/4523 and adds the tests suggested in that issue. * Reductions' numel() won't create ones() for unmasked arrays * Add tests for new numel() implementation * Fix numel() test, previously failing in Python 2.7. * Remove ones_like_lookup() for sparse matrices * remove todense_lookup * Call correct sum() function in moment_chunk() * Remove xfail from mean() sparse test * Add sparse std() test back * Test sparse moment() * Test sparse var() * Build also against sparse upstream * Fix condition for CI upstream sparse installation * Attempt to fix upstream sparse installation once more * Enable __array_function__ in Python 3.7 build * Remove leftover export from run_tests.sh * Workaround for mkl.fft failures in test_array_function.py * Minor reductions readability/code consistency changes * Increase coverage of numel() * Remove unnecessary for loop in numel() test * Reenable development build, uses upstream libraries * Revert "Reenable development build, uses upstream libraries" This reverts commit 1705689db.
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