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Is your feature request related to a problem? Please describe.
As observed during #261, users can accidentally set timeouts inconsistently. A concrete example is that one can set a User facing timeout lower than any backend timeout, such that requests may fail early.
Describe the solution you'd like
We should provide some sanity checking to prevent unintended timeout behavior.
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Hi,
just wanted to update the graphql package to version 16 but fastify/mercurius doesn't seem to like it.
`No overload matches this call.
Overload 1 of 3, '(plugin: FastifyPluginCallback<MercuriusOptions, Server>, opts?: FastifyRegisterOptions<Mer
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Can you make interface for simple using? Maybe connected clients listing, manage instances, edit interfaces which be WAN and LAN on startup.
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Is there a plan to build kernelspec with pytorch support? If not, what's the right way to contribute?
The contribution instruction page seems to be not available: https://jupyter.readthedocs.io/en/latest/contributor/content-contributor.html
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So that we don't have to check if the instance is an
HttpDataorHttpHeaders(trailers) in the subscriber.Currently, we only have
HttpResponse.split().