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| author | Michel Fruchart <michel.fruchart@ens-lyon.org> | 2019-05-13 23:55:21 -0500 |
|---|---|---|
| committer | Michel Fruchart <michel.fruchart@ens-lyon.org> | 2019-05-13 23:55:21 -0500 |
| commit | 1be0e6862196ce92f4b8a2257bad2e890c398cc1 (patch) | |
| tree | 7649120ec14f2036532d63a652842b657447f77c | |
| parent | de6505ec703b3c50fabc4240562d5952ed5652f2 (diff) | |
| download | numpy-1be0e6862196ce92f4b8a2257bad2e890c398cc1.tar.gz | |
Release notes.
| -rw-r--r-- | doc/release/1.17.0-notes.rst | 9 |
1 files changed, 9 insertions, 0 deletions
diff --git a/doc/release/1.17.0-notes.rst b/doc/release/1.17.0-notes.rst index 7857400e8..2db0e8aa4 100644 --- a/doc/release/1.17.0-notes.rst +++ b/doc/release/1.17.0-notes.rst @@ -197,6 +197,15 @@ The boolean and integer types are incapable of storing ``np.nan`` and ``np.inf`` which allows us to provide specialized ufuncs that are up to 250x faster than the current approach. +Support of object arrays in ``np.matmul`` +----------------------------------------- +It is now possible to use ``np.matmul`` (or the ``@`` operator) with object arrays. +For instance, it is now possible to do:: + + from fractions import Fraction + a = np.array([[Fraction(1, 2), Fraction(1, 3)], [Fraction(1, 3), Fraction(1, 2)]]) + b = a @ a + Changes ======= |