On 8/6/2014 1:39 PM, Tim Chase wrote:
On 2014-08-06 11:04, Gayathri J wrote:
Below is the code I tried to check if itertools.product() was
faster than normal nested loops...
they arent! arent they supposed to be...or am i making a mistake?
I believe something like this was discussed a while ago and there was
a faster-but-uglier solution so you might want to consult this thread:
https://mail.python.org/pipermail/python-list/2008-January/516109.html
I believe this may have taken place before itertools.product() came
into existence.
Disadvantage of itertools.product() is, that it makes a copy in memory.
Reason ist, that itertools also makes products of generators (meaning of
objects, that one can't iterate several times through)
There are two use cases, that I occasionaly stumble over:
One is making the product over lists(),
product( list_of_lists )
ex:
product( [ [1,2,3], ['A','B'], ['a', 'b', 'c'] ] )
the other one making a product over a list of functions, which will
create generators
ex:
product( [ lambda: [ 'A', 'B' ], lambda: xrange(3) ] )
I personally would also be interested in a fast generic solution that
can iterate through an N-dimensional array and which does not duplicate
the memory or iterate through a list of generator-factories or however
this would be called.
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