"Istvan Albert" <[EMAIL PROTECTED]> wrote in message news:[EMAIL PROTECTED] || if you try it yourself you'll see that it is very easy to generate 10 | million tuples,
No it is not on most machines. | on my system it takes 3 (!!!) seconds to do the following: | | size = 10**7 | data = [] | for i in range(10): | x = [ (0,1) ] * size x has 10**7 references (4 bytes each) to the same tuple. Use id() to check. 40 megs is manageable. | data.append( x ) | | Now it takes over two minutes to do this: | | size = 10**7 | a = [ 0 ] * size | b = zip(a,a) b has 40 megs that reference 10 meg *different* tuples. Each is 20 to 40, so 200-400 megs more. Try [(i,i) for i in xrange(5000000)] for comparison (it also makes 10000000 objects plus large list). | the only explanation I can come up with is that the internal | implementation of zip must have some flaws References are not objects. Terry Jan Reedy -- http://mail.python.org/mailman/listinfo/python-list
