Well, technically speaking annotation and actual are not the same thing. Many parts of Spark API might require heavy overloads to either capture relationships between arguments (for example in case of ML) or to capture at least rudimentary relationships between inputs and outputs (i.e. udfs).
Just saying... On 8/27/20 6:09 PM, Driesprong, Fokko wrote: > Also, it is very cumbersome to add everything to the pyi file. In > practice, this means copying the method definition from the py file > and paste it into the pyi file. This hurts my developers' heart, as it > violates the DRY principle. > > I see many big projects using regular annotations: > - > Pandas: > https://github.com/pandas-dev/pandas/blob/master/pandas/io/parquet.py#L51 That's probably not a good example, unless something changed significantly lately. The last time I participated in the discussion Pandas didn't type check and had no clear timeline for advertising annotations. -- Best regards, Maciej Szymkiewicz Web: https://zero323.net Keybase: https://keybase.io/zero323 Gigs: https://www.codementor.io/@zero323 PGP: A30CEF0C31A501EC
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