Below is a little range generator, irange, which is compatible with range. More specifically, {{{[i for i in irange(*args)] == range(*args)]}}}. This will let us iterator over large spans of numbers without resorting to [[xrange]], which is a lazy list as opposed to a generator. Would a function of similar semantics likely be accepted into the standard library within itertools? [[lwickjr]]: I like the idea. Anyone else? The author doesn't have the time/energy to write/push a [[PEP]] for the PythonEnhancementProcess. If you think this generator is a good idea, please submit a [[PEP]]. [[lwickjr]]: Neither do I. Anyone else? = Test Suite = Here is the test: {{{ #!/usr/bin/env python import unittest from iter import irange class TestIter(unittest.TestCase): def testIrangeValues(self): testArguments = ( [10],[0],[7,70], [-10], [10,700,17], [10,1000,-3],[10,-99,-7] ) l = lambda *x: list(irange(*x)) for args in testArguments: list1 = l(*args) list2 = range(*args) self.assertEqual(list1,list2) def testIrangeArguments(self): self.assertRaises(ValueError,irange,0,99,0) #0 step #self.assertRaises(irange(1,2,3,4)) #too many arguments if __name__ == '__main__': unittest.main() }}} = implementation = {{{ #!/usr/bin/env python """generator for a range of integers that matches the output of an iterator over the list range(...) """ from itertools import count,takewhile """private generator over the unchecked arguments start, stop, step [i for i in __irange3(start,stop,step)] produces range(start,stop,step) """ def __irange3__(start,stop,step): #the stop condition changes depending on the sign of step predicate = step > 0 and (lambda x : x < stop) or (lambda x : x > stop) i = start while predicate(i): yield i i += step """ generator to produce the same output as an iterator over range(args). The advantage of this over range() or xrange() is a list is not created in order to provide the generator. [i for i in irange(args) ] == [range(args)] """ def irange(*args): if len(args) not in (1,2,3): raise TypeError, "expected 1,2, or 3 arguments to irange" #the stop value will be the 1st argument when 1 argument supplied, it #will the the second argument otherwise. The index is one less than the #argument stop = args[(1,0)[len(args) == 1]] if len(args) == 3: step = args[2] #we check the step before we create the generator, for earlier #error annunciation. if step == 0: raise ValueError() return __irange3__(args[0],stop,step) #for the cases with no step (1 or two args) its easy to #use the built in count() generator and filter predicate = lambda x : x < stop #set up the arguments to count, depending on whether we have a start counter_args = len(args) != 1 and [args[0]] or () counter = count(*counter_args) return takewhile(predicate, counter) }}} = Alternate Implementation = Perhaps a simple implementation can be constructed using *count* and *islice* from intertools?. -- Anon I think it's way too much code, and also it does not accept named parameters. How about this? -- JürgenHermann <> {{{#! python def irange(start, stop=None, step=1): """ Generator for a list containing an arithmetic progression of integers. range(i, j) returns [i, i+1, i+2, ..., j-1]; start (!) defaults to 0. When step is given, it specifies the increment (or decrement). For example, range(4) returns [0, 1, 2, 3]. The end point is omitted! These are exactly the valid indices for a list of 4 elements. """ if step == 0: raise ValueError("irange() step argument must not be zero") if stop is None: stop = start start = 0 continue_cmp = (step < 0) * 2 - 1 while cmp(start, stop) == continue_cmp: yield start start += step if __name__ == "__main__": cases = [ (0,), (1,), (2,), (1, 0), (1, 1), (1, 2), (1, 4), (1, 4, 1), (1, 4, 2), (1, 4, 3), (1, 4, -1), (1, 4, -2), (1, 4, -3), (4, 1, 1), (4, 1, 2), (4, 1, 3), (4, 1, -1), (4, 1, -2), (4, 1, -3), ] for case in cases: assert range(*case) == [i for i in irange(*case)] print "All %d tests passed!" % len(cases) }}} ''The alternate implementation is fine, though I'd prefer to see a "takewhile" rather than a while loop in the spirit of functional programming - but thats minor. The test case I am less fond of - while it does test the functionality, it doesn't support TestDrivenDevelopment as well. It would be nice to have a test from unitest to allow someone building a big system to easily run a suite of tests they like. Next step write a PEP someone? ''