The challenge is to develop a tool that reconstructs the input from a set of observed outputs :)
I have not the slightest idea what people expect when they open a github issue with a bunch of copy&pasted error messages, but not the input that produced those errors. How can they not realize that they are just wasting the time of everyone involved?
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I might one day write an NLP tool that automatically closes those issues after posting a sharp comment.
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I'm going to open a github issue as well: "The answer is 42. Find the question." j/k, I'm not that evil :D
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They expect you to bend over backwards for their delusion that the secrecy of their (usually unoriginal and usually wrong) ideas is more valuable than volunteers' time.
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See also this thread:https://twitter.com/RichFelker/status/978663527123742720 …
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Yeah, sorry about that :|
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No worries. You did provide a test case after all and now the issue is fixed afaics. So everything is great now. :)
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I don't know, I wouldn't automatically assume they want to keep it a secret - just that they have so little experience of bug reporting that they don't know how to do it well. But I'm an optimist
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It is *easy* to do even when you know better. By the time you are opening an issue you see the error message as blocking you. It can take a pretty big amount of mental effort to change your frame of mind - specially if you don't do it all the time.
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Adding questions to the issue template can help with getting the reporter to switch into the "How can I help the maintainer reproduce this error?" mode. Keep the questions simple and direct. "What is the command line you used when this error message occurred?"
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