Thanks for the heads up Stefan, I don't have time right now, but I'll definitely take a look at the recording later. ________________________________ From: Stefan van der Walt <stef...@berkeley.edu> Sent: 16 November 2021 20:10 To: Discussion of Numerical Python <numpy-discussion@python.org> Subject: [Numpy-discussion] Tensor typing meeting (15 Nov) slides & video
I thought this might be of interest to Bas and others. ----- Original message ----- From: Matthew Rahtz via Typing-sig Date: Tuesday, November 16, 2021 02:31 Thanks to everyone for coming! Recording is here<https://drive.google.com/file/d/1ywE7sHM--9QEZ_LhcALFBVF_nsO601NB/view?usp=sharing>, and the slides are at Dealing with DTypes<https://docs.google.com/presentation/d/14hHWlpMOuijNEhF7fwvANa8Ainu4R2LtBt3WO3df-ww/edit?usp=sharing&resourcekey=0-oLrZPOXcAXvGvNaEOQahJQ>. Details of this and previous tensor typing meetings are available here<https://docs.google.com/document/d/1oaG0V2ZE5BRDjd9N-Tr1N0IKGwZQcraIlZ0N8ayqVg8/edit#>. Our next tensor typing meeting will tentatively be on Monday the 13th of December. See you then! A quick summary of the talk is below. * How should we handle data type promotion in stubs? * Option 1: One overload for each possible combination of dtypes * Option 2: One overload for each result dtype * Option 3: Don't handle type promotion * Option 4: Use a dtype class hierarchy and exploit Union type operator behaviour * Option 5: Propose a type promotion operator * Option 6: Propose a 'nearest common parent' operator * Option 7: Propose a type lookup table operator * Consensus during discussion was that since it looks like a new type operator would be required, we should probably hold off on dealing with this until the community shows a strong desire for this feature, and in the meantime just not handle data type promotion in stubs.
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