In python, decorators are syntactic sugar with a specific purpose: do something to the function it is decorating. What? For a good part, the idea is that: @decoratorfunctionname def foo(): pass ...is syntactic sugar for: def foo(): pass foo = decoratorfunctionname(foo) ...
This is the reason why people argued against decorators, because the@is just a little syntax sugar meaning "pass a function object through another function and assign the result to the original function." The reason I think decorators will have such a big impact is because this little bit of...
arguments to the simple_tag decorator; the accessory decorators would have no obvious meaning except in the context of simple_tag. I think I prefer the syntax above because there really is only one decorator being applied to the function (but if the original debate about Python decorator syntax...
So you interpreted "outside function-call arguments" as meaning "If I add parentheses, it will be valid syntax"? Hmm, I'm not sure how to clarify that :/ adding the parentheses doesn't make it a function call -- but I can see how a beginner might find the language confusing. Would...
) and->(for results) are delimiters and the rest can be an arbitrary expression. It is important to understand that, as such,annotations do not have any semantics whatsoever. There must be explicit Python code somewhere that looks at them and does something in order to give them a meaning...
probably in positions where there is more training information from which to generalize. Lastly, from molecules with at least one novel decoration, a large number of them are predicted as active by the model, meaning that the decorations added tend to do not negatively affect the activity predict...
Lastly, from molecules with at least one novel decoration, a large number of them are predicted as active by the model, meaning that the decorations added tend to do not negatively affect the activity prediction of the molecule. Fig. 7 Four bar plots describing properties for molecules ...
perspective of new Python users, who will have to guess the meaning of such syntax from someone else's code. Having a keyword that makes the usage clear makes this reading much easier. 2) Location I don't like "between def and function name" or "between function name ...
print 'goodbye python world' Methinks issues arise generally with the nested form in the case of: - v. long functions - using @decorators for annotating type info e.g: @accepts(int, str) @returns(str) def func(x, s): return s + str(x) ...
Nine of ten times, I'd prefer more concise - but the decorator in this case, is genuinely more complex - so it's nice to actually see what's going on, versus 2-3 indirections to get to the meaning. That's not in the type hints, that's in the generated code from pyright - but...