Raymond Hettinger recently asked on twitter what people thought del defaultdict()[k] did for a k that didn't exist in the dict. There are two ways of thinking about this, one is, "it's a defaultdict, there's always a value at a key, so it can never raise a KeyError", the other is, "that only applies to reading a value, this should still raise an error". I initially spent several minutes considering which made more sense, but I eventually came around to the second view, I'm going to explain why.
The Zen of Python says, "Errors should never pass silently." Any Java programmer who's seen NullPointerException knows the result of passing around invalid data, rather than propagating an error. There are two cases for trying to delete a key which doesn't exist in a defaultdict. One is: "this algorithm happens to sometimes produce keys that aren't there, not an issue, ignore it", the other is "my algorithm has a bug, it should always produce valid keys". If you don't raise a KeyError the first case has a single line of nice code, if you do raise an error they have a boring try/ except KeyError thing going on, but no big loss. However, if an error isn't raised and your algorithm should never produce nonexistent keys, you'll be silently missing a large bug in your algorithm, which you'll have to hope to catch later.
The inconvenience of ignoring the KeyError to the programmer with the algorithm that produces nonexistent keys is out weighed by the potential for hiding a nasty bug in the algorithm of the programmer who's code should never produce these. Ignoring an exception is easy, trying to find the bug in your algorithm can be a pain in the ass.Tweet This entry was tagged with python, programming. blog comments powered by Disqus