__array_function__ conceptual design & related concepts
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A brief conceptual sketch related to NEP 18 (a NumPy Enhancement Proposal) . Triggered by a discussion on the NumPy mailing list.
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- 2. Context These slides contain some sketches about what __array_function__ does and is for, as well as thoughts on how interoperability, ndarray subclasses and “duck arrays” relate to it. 2
- 3. NumPy API and semantics 3 Function body (the “implementation”, defines semantics) Function signature (the API) Example for one function - this applies to ufuncs and other functions. Of course there are also other objects in the NumPy API - let’s ignore those for simplicity.
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- 6. Reusing NumPy implementations of the functions in its API? 6 Reusing part of the implementation of NumPy functions is an order of magnitude harder than reusing the API. doable …?? Function body Function signature Function signature (the API) if input arg has __some_attribute__: customize implementation== array_like “duck array” or ndarray subclass Function body …. np.asarray …. rest of function body Function signature Function signature (the API) if input arg has __some_attribute__: customize implementation== vs.
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