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| -rw-r--r-- | doc/neps/roadmap.rst | 6 |
1 files changed, 4 insertions, 2 deletions
diff --git a/doc/neps/roadmap.rst b/doc/neps/roadmap.rst index c9c1976c9..1cd522463 100644 --- a/doc/neps/roadmap.rst +++ b/doc/neps/roadmap.rst @@ -103,8 +103,10 @@ Numpy has both scalars and zero-dimensional arrays. - The current implementation adds a large maintenance burden -- can we remove scalars and/or simplify it internally? -- Zero dimensional arrays get converted into scalars by most NumPy functions. - Can this be fixed? +- Zero dimensional arrays get converted into scalars by most NumPy + functions (i.e., output of `np.sin(x)` depends on whether `x` is + zero-dimensional or not). This inconsistency should be addressed, + so that one could, e.g., write sane type annotations. .. _`NEP 19`: https://www.numpy.org/neps/nep-0019-rng-policy.html .. _`NEP 22`: http://www.numpy.org/neps/nep-0022-ndarray-duck-typing-overview.html |