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Python is not strongly-typed, it's "duck-typed", i.e. everything is an object, and you should be able to hand over "X-like" objects to code that expects type X, and it should work properly if your X-like object supports all the interfaces that type X does. As part of that duck-typing, it's valid to compare anything with anything without raising an error, it's just that different things are (by default) not equal, so the comparison returns false. For example, you can compare a class defining a database connection with the integer 5, that would be a valid comparison that returns False.

This behavior is a key requirement for all kinds of Python core data structures, for example, if you'd define bytestrings so that they throw an error when compared to a "normal" string, then this means that for a heterogenous list (pretty much all data structures in Python can be heterogenous regarding data types) containing both b"something" and "something" many standard operations (e.g. checking if "something" is in that list) would break because the list code would require a comparison to do that.




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