Bryan Olson wrote: > The claim "everything is a set" falls into the category of > 'not even wrong'.
No, it falls into the category of the most fundamental Mathematical concepts. You actually *define* tuples as sets, or functions as sets or relations as sets, or even all kinds of numbers and other things which exist in the heads of Mathematicians as sets. > Watch things not be sets: > > x = [1, 1, 2] > y = [1, 2] > print x == y > print set(x) == set(y) Python tuples and lists are of course not the same as Python sets. But mathematically, you can understand them as sets anyway and associate every Python tuple with a Python set. The naive approach to understand a tuple as the set of its values which is done by casting to set() does not work, as you rightly noticed. The associated set to a Python tuple or list x would be set(enumerate(x)), not set(x). Generally, two approaches are common for constructing tuples as sets: (A) Think of an n-tuple as a function on the index set, range(n). Then remember a function is a special relation is a set. (1, 2, 2) would correspond to the set {(0, 1), (1, 1), (1, 2)} (1, 2) would correspond to the set {(0, 1), (1, 2)} In Python, the tuple or list x would correspond to set(enumerate(x)). As a sidemark, another common approach is this: (B) Define the set corresponding to (1, 2) as {1, 2}. Define the set corresponding to (1, 2, 2) as {{1, 2}, 2}, the set corresponding to (1, 2, 2, 4) as {{{1, 2}, 2}, 4} and so on. > I really did try to raise the real issues. I cannot make you answer, > but the question remains: are duplicate and order significant in > what you call "Cartesian product" or they not? Can you show that > your proposed language extensions are useful and consistent in > some reasonable sense? I already tried to answer. It is not what "I call" Cartesian product. Since functions are sets in Mathematics, once you have a Cartesian product on sets, there is a natural (canonical) way to define a Cartesian product on functions as well. So there is also a canonical way to define a Cartesian product on tuples, if you interpret tuples as functions via (A). And there is a canonical way to understand the resulting sets as tuples again (by the lexicographical order of the index set). So the cartesian product of a string, tuple, or list is well-defined including its order. The only ambiguity is whether the result should be a generator or a tuple, and in the case of strings whether the elements in the result should be returned as tuples, "ab"*"cd" = ("a", c"), ("a", "d"), ("b", "c"), ("b", "d") or concatenated as strings: "ab"*"cd" = "ac", "ad", "bc", "bd" In any way, there is no dispute about duplicates or ordering. This is all canonical and well-defined. Concerning the use, I admit there is no really frequent use, but in some occasions it may be useful and I already gave some examples. -- Christoph -- http://mail.python.org/mailman/listinfo/python-list