Pylance-release: function is not a known member of module in numpy. reportGeneralTypeIssues
When I use numpy or torch etc, the Pylance alert that some function is not a known member of module.
My python environment is anaconda.
lepecoder
All 9 comments
Same goes for sqlalchemy objects where for example session methods like commit or add are unrecognized (probably dynamic methods based on database type). Maybe this could be at least split to independent diagnostics which can be turned off or severity level could be overridden independently.
johnybx
on 14 Jul 2020
You have a type checking mode enabled, which means you're going to get more errors for untyped code or potentially missing types. See #93 for numpy; most of numpy is compiled and we don't have the information from compiled modules.
PyTorch ships with annotations and stubs, if you believe the signature for FloatTensor's constructor to be wrong you may want to file a bug on their tracker.
@johnybx This diagnostic is disabled by default (type checking mode "off"). I assume you mean when the mode is not just "off"?
jakebailey
on 14 Jul 2020
Also, note that you can do # type: ignore on a specific line if you want to suppress that line's type errors.
jakebailey
on 14 Jul 2020
@jakebailey I mean that I would like to have checking mode basic but I would like to have diagnostic "x" is not a known member of module set as information not error as most of these messages are displayed for modules which which I do not develop so it would be nice if it wasn't reportGeneralTypeIssues but some independent class of issue. I think it would be much better user experience if we could distinguish these errors based on severity level set.
johnybx
on 14 Jul 2020
Closing in favor of #150, which is covering general numpy support.
jakebailey
on 15 Aug 2020
PyTorch ships with annotations and stubs, if you believe the signature for FloatTensor's constructor to be wrong you may want to file a bug on their tracker.
My question would be where to find these stubs (at least for torch module itself).
alexeyr
on 2 Sep 2020
They are in their repo, a mix of stubs and inline annotations: https://github.com/pytorch/pytorch
jakebailey
on 2 Sep 2020
The same. It is still not solved.
AgentIvan
on 9 Sep 2020
@AgentIvan This issue is a dupe of #150 (which is not closed); you can follow there.
jakebailey
on 14 Sep 2020
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Most helpful comment
Also, note that you can do
# type: ignoreon a specific line if you want to suppress that line's type errors.