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When using pip to install python packages, we can set the configurations so that it can refer to some private repository to install packages Extensions similar to grammarly, colorzilla and languagetool are therefore the cause of this warning, so you have to find out which one is doing. The usecase is for example for big companies where for
Going the Extra Mile: Ten Lessons I’ve Learned
Extra data asked 11 years, 9 months ago modified 2 years ago viewed 662k times This is usually caused by an extension passing these extra attributes with your code when it is executed on the browser trying to interact with the ui, this creates a mismatch between what was rendered on the server and what is rendered on the client Packages are expected to be unique up to name and version, so two wheels with the same package name and version are treated as indistinguishable by pip
This is a deliberate feature of the package metadata, and not likely to change.
I'm trying out uv to manage my python project's dependencies and virtualenv, but i can't see how to install all my dependencies for local development, including the development dependencies I have defined a pydantic schema with extra = extra.allow in pydantic config Is it possible to get a list or set of extra fields passed to the schema separately However, i can not make sure that we can get all the necessary python library
I am trying to set extra cas for my nodejs project, i tried using set node_extra_ca_certs= {directorty}/ca.pem but the nodejs project still cannot pick up the set env variable See installing setuptools extras in the installing packages section of the python packaging user guide It is up to the installed package itself to detect if all the dependencies for optional extra features are installed A common pattern is to use try.except importerror
